hexsha string | size int64 | ext string | lang string | max_stars_repo_path string | max_stars_repo_name string | max_stars_repo_head_hexsha string | max_stars_repo_licenses list | max_stars_count int64 | max_stars_repo_stars_event_min_datetime string | max_stars_repo_stars_event_max_datetime string | max_issues_repo_path string | max_issues_repo_name string | max_issues_repo_head_hexsha string | max_issues_repo_licenses list | max_issues_count int64 | max_issues_repo_issues_event_min_datetime string | max_issues_repo_issues_event_max_datetime string | max_forks_repo_path string | max_forks_repo_name string | max_forks_repo_head_hexsha string | max_forks_repo_licenses list | max_forks_count int64 | max_forks_repo_forks_event_min_datetime string | max_forks_repo_forks_event_max_datetime string | content string | avg_line_length float64 | max_line_length int64 | alphanum_fraction float64 | qsc_code_num_words_quality_signal int64 | qsc_code_num_chars_quality_signal float64 | qsc_code_mean_word_length_quality_signal float64 | qsc_code_frac_words_unique_quality_signal float64 | qsc_code_frac_chars_top_2grams_quality_signal float64 | qsc_code_frac_chars_top_3grams_quality_signal float64 | qsc_code_frac_chars_top_4grams_quality_signal float64 | qsc_code_frac_chars_dupe_5grams_quality_signal float64 | qsc_code_frac_chars_dupe_6grams_quality_signal float64 | qsc_code_frac_chars_dupe_7grams_quality_signal float64 | qsc_code_frac_chars_dupe_8grams_quality_signal float64 | qsc_code_frac_chars_dupe_9grams_quality_signal float64 | qsc_code_frac_chars_dupe_10grams_quality_signal float64 | qsc_code_frac_chars_replacement_symbols_quality_signal float64 | qsc_code_frac_chars_digital_quality_signal float64 | qsc_code_frac_chars_whitespace_quality_signal float64 | qsc_code_size_file_byte_quality_signal float64 | qsc_code_num_lines_quality_signal float64 | qsc_code_num_chars_line_max_quality_signal float64 | qsc_code_num_chars_line_mean_quality_signal float64 | qsc_code_frac_chars_alphabet_quality_signal float64 | qsc_code_frac_chars_comments_quality_signal float64 | qsc_code_cate_xml_start_quality_signal float64 | qsc_code_frac_lines_dupe_lines_quality_signal float64 | qsc_code_cate_autogen_quality_signal float64 | qsc_code_frac_lines_long_string_quality_signal float64 | qsc_code_frac_chars_string_length_quality_signal float64 | qsc_code_frac_chars_long_word_length_quality_signal float64 | qsc_code_frac_lines_string_concat_quality_signal float64 | qsc_code_cate_encoded_data_quality_signal float64 | qsc_code_frac_chars_hex_words_quality_signal float64 | qsc_code_frac_lines_prompt_comments_quality_signal float64 | qsc_code_frac_lines_assert_quality_signal float64 | qsc_codepython_cate_ast_quality_signal float64 | qsc_codepython_frac_lines_func_ratio_quality_signal float64 | qsc_codepython_cate_var_zero_quality_signal bool | qsc_codepython_frac_lines_pass_quality_signal float64 | qsc_codepython_frac_lines_import_quality_signal float64 | qsc_codepython_frac_lines_simplefunc_quality_signal float64 | qsc_codepython_score_lines_no_logic_quality_signal float64 | qsc_codepython_frac_lines_print_quality_signal float64 | qsc_code_num_words int64 | qsc_code_num_chars int64 | qsc_code_mean_word_length int64 | qsc_code_frac_words_unique null | qsc_code_frac_chars_top_2grams int64 | qsc_code_frac_chars_top_3grams int64 | qsc_code_frac_chars_top_4grams int64 | qsc_code_frac_chars_dupe_5grams int64 | qsc_code_frac_chars_dupe_6grams int64 | qsc_code_frac_chars_dupe_7grams int64 | qsc_code_frac_chars_dupe_8grams int64 | qsc_code_frac_chars_dupe_9grams int64 | qsc_code_frac_chars_dupe_10grams int64 | qsc_code_frac_chars_replacement_symbols int64 | qsc_code_frac_chars_digital int64 | qsc_code_frac_chars_whitespace int64 | qsc_code_size_file_byte int64 | qsc_code_num_lines int64 | qsc_code_num_chars_line_max int64 | qsc_code_num_chars_line_mean int64 | qsc_code_frac_chars_alphabet int64 | qsc_code_frac_chars_comments int64 | qsc_code_cate_xml_start int64 | qsc_code_frac_lines_dupe_lines int64 | qsc_code_cate_autogen int64 | qsc_code_frac_lines_long_string int64 | qsc_code_frac_chars_string_length int64 | qsc_code_frac_chars_long_word_length int64 | qsc_code_frac_lines_string_concat null | qsc_code_cate_encoded_data int64 | qsc_code_frac_chars_hex_words int64 | qsc_code_frac_lines_prompt_comments int64 | qsc_code_frac_lines_assert int64 | qsc_codepython_cate_ast int64 | qsc_codepython_frac_lines_func_ratio int64 | qsc_codepython_cate_var_zero int64 | qsc_codepython_frac_lines_pass int64 | qsc_codepython_frac_lines_import int64 | qsc_codepython_frac_lines_simplefunc int64 | qsc_codepython_score_lines_no_logic int64 | qsc_codepython_frac_lines_print int64 | effective string | hits int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
790ab1a20b5574df9d37d70dbe96e1b795d53953 | 103 | py | Python | python/learn/base/module/l1/pack/big/b1.py | qrsforever/workspace | 53c7ce7ca7da62c9fbb3d991ae9e4e34d07ece5f | [
"MIT"
] | 2 | 2017-06-07T03:20:42.000Z | 2020-01-07T09:14:26.000Z | python/learn/base/module/l1/pack/big/b1.py | qrsforever/workspace | 53c7ce7ca7da62c9fbb3d991ae9e4e34d07ece5f | [
"MIT"
] | null | null | null | python/learn/base/module/l1/pack/big/b1.py | qrsforever/workspace | 53c7ce7ca7da62c9fbb3d991ae9e4e34d07ece5f | [
"MIT"
] | null | null | null | #!/usr/bin/python2.7
print "run here: pack/big/b1.py"
def b1_fun(): print "function: pack/big/b1.py"
| 17.166667 | 46 | 0.679612 | 20 | 103 | 3.45 | 0.7 | 0.202899 | 0.26087 | 0.318841 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.054945 | 0.116505 | 103 | 5 | 47 | 20.6 | 0.703297 | 0.184466 | 0 | 0 | 0 | 0 | 0.578313 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 1 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 7 |
79216183c0c4168075c7f887a63bebe03c32ccb2 | 145 | py | Python | core/datasets/data/__init__.py | Brain-Engine/DynamicActivation | 7dce57cdf018a8b2acdb1d7291dfbc33be6dde78 | [
"Apache-2.0"
] | 1 | 2021-05-01T03:46:00.000Z | 2021-05-01T03:46:00.000Z | core/datasets/data/__init__.py | dddlli/DynamicActivation | 7dce57cdf018a8b2acdb1d7291dfbc33be6dde78 | [
"Apache-2.0"
] | null | null | null | core/datasets/data/__init__.py | dddlli/DynamicActivation | 7dce57cdf018a8b2acdb1d7291dfbc33be6dde78 | [
"Apache-2.0"
] | 2 | 2021-04-26T14:25:20.000Z | 2021-04-28T09:05:10.000Z | from . import cifar10
from . import imagenet
from . import image_folder
from . import mnist
from . import fashion_mnist
from . import small_norb
| 20.714286 | 27 | 0.793103 | 21 | 145 | 5.333333 | 0.47619 | 0.535714 | 0.267857 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016529 | 0.165517 | 145 | 6 | 28 | 24.166667 | 0.909091 | 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 |
f701d647f8fe822a2a2729383c44109685c2195f | 13,630 | py | Python | sdk/python/pulumi_azure/apimanagement/policy.py | henriktao/pulumi-azure | f1cbcf100b42b916da36d8fe28be3a159abaf022 | [
"ECL-2.0",
"Apache-2.0"
] | 109 | 2018-06-18T00:19:44.000Z | 2022-02-20T05:32:57.000Z | sdk/python/pulumi_azure/apimanagement/policy.py | henriktao/pulumi-azure | f1cbcf100b42b916da36d8fe28be3a159abaf022 | [
"ECL-2.0",
"Apache-2.0"
] | 663 | 2018-06-18T21:08:46.000Z | 2022-03-31T20:10:11.000Z | sdk/python/pulumi_azure/apimanagement/policy.py | henriktao/pulumi-azure | f1cbcf100b42b916da36d8fe28be3a159abaf022 | [
"ECL-2.0",
"Apache-2.0"
] | 41 | 2018-07-19T22:37:38.000Z | 2022-03-14T10:56:26.000Z | # 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__ = ['PolicyArgs', 'Policy']
@pulumi.input_type
class PolicyArgs:
def __init__(__self__, *,
api_management_id: pulumi.Input[str],
xml_content: Optional[pulumi.Input[str]] = None,
xml_link: Optional[pulumi.Input[str]] = None):
"""
The set of arguments for constructing a Policy resource.
:param pulumi.Input[str] api_management_id: The ID of the API Management service. Changing this forces a new API Management service Policy to be created.
:param pulumi.Input[str] xml_content: The XML Content for this Policy as a string.
:param pulumi.Input[str] xml_link: A link to a Policy XML Document, which must be publicly available.
"""
pulumi.set(__self__, "api_management_id", api_management_id)
if xml_content is not None:
pulumi.set(__self__, "xml_content", xml_content)
if xml_link is not None:
pulumi.set(__self__, "xml_link", xml_link)
@property
@pulumi.getter(name="apiManagementId")
def api_management_id(self) -> pulumi.Input[str]:
"""
The ID of the API Management service. Changing this forces a new API Management service Policy to be created.
"""
return pulumi.get(self, "api_management_id")
@api_management_id.setter
def api_management_id(self, value: pulumi.Input[str]):
pulumi.set(self, "api_management_id", value)
@property
@pulumi.getter(name="xmlContent")
def xml_content(self) -> Optional[pulumi.Input[str]]:
"""
The XML Content for this Policy as a string.
"""
return pulumi.get(self, "xml_content")
@xml_content.setter
def xml_content(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "xml_content", value)
@property
@pulumi.getter(name="xmlLink")
def xml_link(self) -> Optional[pulumi.Input[str]]:
"""
A link to a Policy XML Document, which must be publicly available.
"""
return pulumi.get(self, "xml_link")
@xml_link.setter
def xml_link(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "xml_link", value)
@pulumi.input_type
class _PolicyState:
def __init__(__self__, *,
api_management_id: Optional[pulumi.Input[str]] = None,
xml_content: Optional[pulumi.Input[str]] = None,
xml_link: Optional[pulumi.Input[str]] = None):
"""
Input properties used for looking up and filtering Policy resources.
:param pulumi.Input[str] api_management_id: The ID of the API Management service. Changing this forces a new API Management service Policy to be created.
:param pulumi.Input[str] xml_content: The XML Content for this Policy as a string.
:param pulumi.Input[str] xml_link: A link to a Policy XML Document, which must be publicly available.
"""
if api_management_id is not None:
pulumi.set(__self__, "api_management_id", api_management_id)
if xml_content is not None:
pulumi.set(__self__, "xml_content", xml_content)
if xml_link is not None:
pulumi.set(__self__, "xml_link", xml_link)
@property
@pulumi.getter(name="apiManagementId")
def api_management_id(self) -> Optional[pulumi.Input[str]]:
"""
The ID of the API Management service. Changing this forces a new API Management service Policy to be created.
"""
return pulumi.get(self, "api_management_id")
@api_management_id.setter
def api_management_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "api_management_id", value)
@property
@pulumi.getter(name="xmlContent")
def xml_content(self) -> Optional[pulumi.Input[str]]:
"""
The XML Content for this Policy as a string.
"""
return pulumi.get(self, "xml_content")
@xml_content.setter
def xml_content(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "xml_content", value)
@property
@pulumi.getter(name="xmlLink")
def xml_link(self) -> Optional[pulumi.Input[str]]:
"""
A link to a Policy XML Document, which must be publicly available.
"""
return pulumi.get(self, "xml_link")
@xml_link.setter
def xml_link(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "xml_link", value)
class Policy(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
api_management_id: Optional[pulumi.Input[str]] = None,
xml_content: Optional[pulumi.Input[str]] = None,
xml_link: Optional[pulumi.Input[str]] = None,
__props__=None):
"""
Manages a API Management service Policy.
> **NOTE:** This resource will, upon creation, **overwrite any existing policy in the API Management service**, as there is no feasible way to test whether the policy has been modified from the default. Similarly, when this resource is destroyed, the API Management service will revert to its default policy.
## Example Usage
```python
import pulumi
import pulumi_azure as azure
example_resource_group = azure.core.ResourceGroup("exampleResourceGroup", location="West Europe")
example_service = azure.apimanagement.Service("exampleService",
location=example_resource_group.location,
resource_group_name=example_resource_group.name,
publisher_name="pub1",
publisher_email="pub1@email.com",
sku_name="Developer_1")
example_named_value = azure.apimanagement.NamedValue("exampleNamedValue",
resource_group_name=example_resource_group.name,
api_management_name=example_service.name,
display_name="ExampleProperty",
value="Example Value")
example_policy = azure.apimanagement.Policy("examplePolicy",
api_management_id=example_service.id,
xml_content=(lambda path: open(path).read())("example.xml"))
```
## Import
API Management service Policys can be imported using the `resource id`, e.g.
```sh
$ pulumi import azure:apimanagement/policy:Policy example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/group1/providers/Microsoft.ApiManagement/service/instance1/policies/policy
```
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] api_management_id: The ID of the API Management service. Changing this forces a new API Management service Policy to be created.
:param pulumi.Input[str] xml_content: The XML Content for this Policy as a string.
:param pulumi.Input[str] xml_link: A link to a Policy XML Document, which must be publicly available.
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: PolicyArgs,
opts: Optional[pulumi.ResourceOptions] = None):
"""
Manages a API Management service Policy.
> **NOTE:** This resource will, upon creation, **overwrite any existing policy in the API Management service**, as there is no feasible way to test whether the policy has been modified from the default. Similarly, when this resource is destroyed, the API Management service will revert to its default policy.
## Example Usage
```python
import pulumi
import pulumi_azure as azure
example_resource_group = azure.core.ResourceGroup("exampleResourceGroup", location="West Europe")
example_service = azure.apimanagement.Service("exampleService",
location=example_resource_group.location,
resource_group_name=example_resource_group.name,
publisher_name="pub1",
publisher_email="pub1@email.com",
sku_name="Developer_1")
example_named_value = azure.apimanagement.NamedValue("exampleNamedValue",
resource_group_name=example_resource_group.name,
api_management_name=example_service.name,
display_name="ExampleProperty",
value="Example Value")
example_policy = azure.apimanagement.Policy("examplePolicy",
api_management_id=example_service.id,
xml_content=(lambda path: open(path).read())("example.xml"))
```
## Import
API Management service Policys can be imported using the `resource id`, e.g.
```sh
$ pulumi import azure:apimanagement/policy:Policy example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/group1/providers/Microsoft.ApiManagement/service/instance1/policies/policy
```
:param str resource_name: The name of the resource.
:param PolicyArgs 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(PolicyArgs, 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,
api_management_id: Optional[pulumi.Input[str]] = None,
xml_content: Optional[pulumi.Input[str]] = None,
xml_link: 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__ = PolicyArgs.__new__(PolicyArgs)
if api_management_id is None and not opts.urn:
raise TypeError("Missing required property 'api_management_id'")
__props__.__dict__["api_management_id"] = api_management_id
__props__.__dict__["xml_content"] = xml_content
__props__.__dict__["xml_link"] = xml_link
super(Policy, __self__).__init__(
'azure:apimanagement/policy:Policy',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
api_management_id: Optional[pulumi.Input[str]] = None,
xml_content: Optional[pulumi.Input[str]] = None,
xml_link: Optional[pulumi.Input[str]] = None) -> 'Policy':
"""
Get an existing Policy 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] api_management_id: The ID of the API Management service. Changing this forces a new API Management service Policy to be created.
:param pulumi.Input[str] xml_content: The XML Content for this Policy as a string.
:param pulumi.Input[str] xml_link: A link to a Policy XML Document, which must be publicly available.
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _PolicyState.__new__(_PolicyState)
__props__.__dict__["api_management_id"] = api_management_id
__props__.__dict__["xml_content"] = xml_content
__props__.__dict__["xml_link"] = xml_link
return Policy(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter(name="apiManagementId")
def api_management_id(self) -> pulumi.Output[str]:
"""
The ID of the API Management service. Changing this forces a new API Management service Policy to be created.
"""
return pulumi.get(self, "api_management_id")
@property
@pulumi.getter(name="xmlContent")
def xml_content(self) -> pulumi.Output[str]:
"""
The XML Content for this Policy as a string.
"""
return pulumi.get(self, "xml_content")
@property
@pulumi.getter(name="xmlLink")
def xml_link(self) -> pulumi.Output[Optional[str]]:
"""
A link to a Policy XML Document, which must be publicly available.
"""
return pulumi.get(self, "xml_link")
| 44.110032 | 316 | 0.65818 | 1,656 | 13,630 | 5.175121 | 0.125604 | 0.087981 | 0.066978 | 0.06161 | 0.822637 | 0.796733 | 0.790432 | 0.781214 | 0.775263 | 0.763127 | 0 | 0.007329 | 0.249156 | 13,630 | 308 | 317 | 44.253247 | 0.830076 | 0.436464 | 0 | 0.648276 | 1 | 0 | 0.099985 | 0.004874 | 0 | 0 | 0 | 0 | 0 | 1 | 0.151724 | false | 0.006897 | 0.034483 | 0 | 0.275862 | 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 |
e3a66499b1c25d9475b1e44e51e501fe6acdb9cb | 14,057 | py | Python | ext/ANTsPyNet/antspynet/architectures/create_alexnet_model.py | tsmonteiro/fmri_proc | ee740cfa3c3a7ef8e1ee1ebd3b286a66712e0ec1 | [
"MIT"
] | 2 | 2021-11-16T10:00:33.000Z | 2021-12-13T02:57:40.000Z | ext/ANTsPyNet/antspynet/architectures/create_alexnet_model.py | tsmonteiro/fmri_proc | ee740cfa3c3a7ef8e1ee1ebd3b286a66712e0ec1 | [
"MIT"
] | null | null | null | ext/ANTsPyNet/antspynet/architectures/create_alexnet_model.py | tsmonteiro/fmri_proc | ee740cfa3c3a7ef8e1ee1ebd3b286a66712e0ec1 | [
"MIT"
] | 1 | 2021-12-13T02:57:27.000Z | 2021-12-13T02:57:27.000Z |
import tensorflow as tf
import tensorflow.keras.backend as K
from tensorflow.keras.models import Model
from tensorflow.keras.layers import (Input, Lambda, Concatenate, Flatten, Dense,
Conv2D, Conv2DTranspose, MaxPooling2D,
ZeroPadding2D,
Conv3D, Conv3DTranspose, MaxPooling3D,
ZeroPadding3D)
def create_alexnet_model_2d(input_image_size,
number_of_classification_labels=1000,
number_of_dense_units=4096,
dropout_rate=0.0,
mode='classification'):
"""
2-D implementation of the AlexNet deep learning architecture.
Creates a keras model of the AlexNet deep learning architecture for image
recognition based on the paper
A. Krizhevsky, and I. Sutskever, and G. Hinton. ImageNet Classification with Deep Convolutional Neural Networks.
available here:
http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf
This particular implementation was influenced by the following python
implementation:
https://github.com/duggalrahul/AlexNet-Experiments-Keras/
https://github.com/lunardog/convnets-keras/
Arguments
---------
input_image_size : tuple of length 3
Used for specifying the input tensor shape. The
shape (or dimension) of that tensor is the image dimensions followed by
the number of channels (e.g., red, green, and blue). The batch size
(i.e., number of training images) is not specified a priori.
number_of_classification_labels : integer
Number of segmentation labels.
number_of_dense_units : integer
Number of dense units.
dropout_rate : scalar
Optional regularization parameter between [0, 1]. Default = 0.0.
mode : string
'classification' or 'regression'. Default = 'classification'.
Returns
-------
Keras model
A 2-D Keras model defining the network.
Example
-------
>>> model = create_alexnet_model_2d((128, 128, 1))
>>> model.summary()
"""
def split_tensor_2d(axis=1, ratio_split=1, id_split=0):
def f(X):
Xdims = K.int_shape(X)
div = Xdims[axis] // ratio_split
axis_split = slice(id_split * div, (id_split + 1) * div)
if axis == 0:
output = X[axis_split,:, :, :]
elif axis == 1:
output = X[:,axis_split, :, :]
elif axis == 2:
output = X[:,:, axis_split, :]
elif axis == 3:
output = X[:,:, :, axis_split]
else:
raise ValueError("axis specified is out of range.")
return(output)
def g(input_shape):
output_shape = list(input_shape)
output_shape[axis] = output_shape[axis] // ratio_split
return(tuple(output_shape))
return(Lambda(f, output_shape=lambda input_shape:g(input_shape)))
def cross_channel_normalization_2d(alpha=1e-4, k=2, beta=0.75, n=5):
def normalize_tensor_2d(X):
X2 = K.square(X)
half = n // 2
extra_channels = K.spatial_2d_padding(
K.permute_dimensions(X2, (1, 2, 3, 0)),
padding=((0, 0), (half, half)))
extra_channels = K.permute_dimensions(
extra_channels, (3, 0, 1, 2))
Xdims = K.int_shape(X)
number_of_channels = int(Xdims[-1])
scale = k
for i in range(n):
scale += alpha * extra_channels[:,:,:,i:(i + number_of_channels)]
scale = scale ** beta
return(X / scale)
return(Lambda(normalize_tensor_2d, output_shape = lambda input_shape:input_shape))
inputs = Input(shape = input_image_size)
# Conv1
outputs = Conv2D(filters = 96,
kernel_size=(11, 11),
strides=(4, 4),
activation='relu')(inputs)
# Conv2
outputs = MaxPooling2D(pool_size=(3, 3),
strides=(2, 2))(outputs)
normalization_layer = cross_channel_normalization_2d()
outputs = normalization_layer(outputs)
outputs = ZeroPadding2D(padding=(2, 2))(outputs)
convolution_layer = Conv2D(filters=128,
kernel_size=(5, 5),
padding='same')(outputs)
lambda_layers_conv2 = [convolution_layer]
for i in range(2):
split_layer = split_tensor_2d(axis=3, ratio_split=2, id_split=i)(outputs)
lambda_layers_conv2.append(split_layer)
outputs = Concatenate()(lambda_layers_conv2)
# Conv3
outputs = MaxPooling2D(pool_size=(3, 3),
strides=(2, 2))(outputs)
normalization_layer = cross_channel_normalization_2d()
outputs = normalization_layer(outputs)
outputs = ZeroPadding2D(padding=(2, 2))(outputs)
outputs = Conv2D(filters=384,
kernel_size=(3, 3),
padding='same')(outputs)
# Conv4
outputs = ZeroPadding2D(padding=(2, 2))(outputs)
convolution_layer = Conv2D(filters=192,
kernel_size=(3, 3),
padding='same')(outputs)
lambda_layers_conv4 = [convolution_layer]
for i in range(2):
split_layer = split_tensor_2d(axis=3, ratio_split=2, id_split=i)(outputs)
lambda_layers_conv4.append(split_layer)
outputs = Concatenate()(lambda_layers_conv4)
# Conv5
outputs = ZeroPadding2D(padding=(2, 2))(outputs)
normalization_layer = cross_channel_normalization_2d()
outputs = normalization_layer(outputs)
convolution_layer = Conv2D(filters=128,
kernel_size=(3, 3),
padding='same')(outputs)
lambda_layers_conv5 = [convolution_layer]
for i in range(2):
split_layer = split_tensor_2d(axis=3, ratio_split=2, id_split=i)(outputs)
lambda_layers_conv5.append(split_layer)
outputs = Concatenate()(lambda_layers_conv5)
outputs = MaxPooling2D(pool_size=(3, 3),
strides=(2, 2))(outputs)
outputs = Flatten()(outputs)
outputs = Dense(units=number_of_dense_units,
activation ='relu')(outputs)
if dropout_rate > 0.0:
outputs = Dropout(rate=dropout_rate)(outputs)
outputs = Dense(units=number_of_dense_units,
activation ='relu')(outputs)
if dropout_rate > 0.0:
outputs = Dropout(rate=dropout_rate)(outputs)
layer_activation = ''
if mode == 'classification':
layer_activation = 'softmax'
elif mode == 'regression':
layerActivation = 'linear'
else:
raise ValueError('unrecognized mode.')
outputs = Dense(units=number_of_classification_labels,
activation=layer_activation)(outputs)
alexnet_model = Model(inputs=inputs, outputs=outputs)
return(alexnet_model)
def create_alexnet_model_3d(input_image_size,
number_of_classification_labels=1000,
number_of_dense_units=4096,
dropout_rate=0.0,
mode='classification'):
"""
3-D implementation of the AlexNet deep learning architecture.
Creates a keras model of the AlexNet deep learning architecture for image
recognition based on the paper
A. Krizhevsky, and I. Sutskever, and G. Hinton. ImageNet Classification with Deep Convolutional Neural Networks.
available here:
http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf
This particular implementation was influenced by the following python
implementation:
https://github.com/duggalrahul/AlexNet-Experiments-Keras/
https://github.com/lunardog/convnets-keras/
Arguments
---------
input_image_size : tuple of length 4
Used for specifying the input tensor shape. The
shape (or dimension) of that tensor is the image dimensions followed by
the number of channels (e.g., red, green, and blue). The batch size
(i.e., number of training images) is not specified a priori.
number_of_classification_labels : integer
Number of segmentation labels.
number_of_dense_units : integer
Number of dense units.
dropout_rate : scalar
Optional regularization parameter between [0, 1]. Default = 0.0.
mode : string
'classification' or 'regression'. Default = 'classification'.
Returns
-------
Keras model
A 3-D Keras model defining the network.
Example
-------
>>> model = create_alexnet_model_3d((128, 128, 128, 1))
>>> model.summary()
"""
def split_tensor_3d(axis=1, ratio_split=1, id_split=0):
def f(X):
Xdims = K.int_shape(X)
div = Xdims[axis] // ratio_split
axis_split = slice(id_split * div, (id_split + 1) * div)
if axis == 0:
output = X[axis_split,:, :, :, :]
elif axis == 1:
output = X[:,axis_split, :, :, :]
elif axis == 2:
output = X[:,:, axis_split, :, :]
elif axis == 3:
output = X[:,:, :, axis_split, :]
elif axis == 4:
output = X[:,:, :, :, axis_split]
else:
raise ValueError("axis specified is out of range.")
return(output)
def g(input_shape):
output_shape = list(input_shape)
output_shape[axis] = output_shape[axis] // ratio_split
return(tuple(output_shape))
return(Lambda(f, output_shape=lambda input_shape:g(input_shape)))
def cross_channel_normalization_3d(alpha=1e-4, k=2, beta=0.75, n=5):
def normalize_tensor_3d(X):
X2 = K.square(X)
half = n // 2
extra_channels = K.spatial_3d_padding(
K.permute_dimensions(X2, (1, 2, 3, 4, 0)),
padding=((0, 0), (0, 0), (half, half)))
extra_channels = K.permute_dimensions(
extra_channels, (4, 0, 1, 2, 3))
Xdims = K.int_shape(X)
number_of_channels = int(Xdims[-1])
scale = k
for i in range(n):
scale += alpha * extra_channels[:,:,:,:,i:(i + number_of_channels)]
scale = scale ** beta
return(X / scale)
return(Lambda(normalize_tensor_3d, output_shape = lambda input_shape:input_shape))
inputs = Input(shape = input_image_size)
# Conv1
outputs = Conv3D(filters = 96,
kernel_size=(11, 11, 11),
strides=(4, 4, 4),
activation='relu')(inputs)
# Conv2
outputs = MaxPooling3D(pool_size=(3, 3, 3),
strides=(2, 2, 2))(outputs)
normalization_layer = cross_channel_normalization_3d()
outputs = normalization_layer(outputs)
outputs = ZeroPadding3D(padding=(2, 2, 2))(outputs)
convolution_layer = Conv3D(filters=128,
kernel_size=(5, 5, 5),
padding='same')(outputs)
lambda_layers_conv2 = [convolution_layer]
for i in range(2):
split_layer = split_tensor_3d(axis=4, ratio_split=2, id_split=i)(outputs)
lambda_layers_conv2.append(split_layer)
outputs = Concatenate()(lambda_layers_conv2)
# Conv3
outputs = MaxPooling3D(pool_size=(3, 3, 3),
strides=(2, 2, 2))(outputs)
normalization_layer = cross_channel_normalization_3d()
outputs = normalization_layer(outputs)
outputs = ZeroPadding3D(padding=(2, 2, 2))(outputs)
outputs = Conv3D(filters=384,
kernel_size=(3, 3, 3),
padding='same')(outputs)
# Conv4
outputs = ZeroPadding3D(padding=(2, 2, 2))(outputs)
convolution_layer = Conv3D(filters=192,
kernel_size=(3, 3, 3),
padding='same')(outputs)
lambda_layers_conv4 = [convolution_layer]
for i in range(2):
split_layer = split_tensor_3d(axis=4, ratio_split=2, id_split=i)(outputs)
lambda_layers_conv4.append(split_layer)
outputs = Concatenate()(lambda_layers_conv4)
# Conv5
outputs = ZeroPadding3D(padding=(2, 2, 2))(outputs)
normalization_layer = cross_channel_normalization_3d()
outputs = normalization_layer(outputs)
convolution_layer = Conv3D(filters=128,
kernel_size=(3, 3, 3),
padding='same')(outputs)
lambda_layers_conv5 = [convolution_layer]
for i in range(2):
split_layer = split_tensor_3d(axis=4, ratio_split=2, id_split=i)(outputs)
lambda_layers_conv5.append(split_layer)
outputs = Concatenate()(lambda_layers_conv5)
outputs = MaxPooling3D(pool_size=(3, 3, 3),
strides=(2, 2, 2))(outputs)
outputs = Flatten()(outputs)
outputs = Dense(units=number_of_dense_units,
activation ='relu')(outputs)
if dropout_rate > 0.0:
outputs = Dropout(rate=dropout_rate)(outputs)
outputs = Dense(units=number_of_dense_units,
activation ='relu')(outputs)
if dropout_rate > 0.0:
outputs = Dropout(rate=dropout_rate)(outputs)
layer_activation = ''
if mode == 'classification':
layer_activation = 'softmax'
elif mode == 'regression':
layerActivation = 'linear'
else:
raise ValueError('unrecognized mode.')
outputs = Dense(units=number_of_classification_labels,
activation=layer_activation)(outputs)
alexnet_model = Model(inputs=inputs, outputs=outputs)
return(alexnet_model)
| 34.453431 | 116 | 0.591449 | 1,598 | 14,057 | 5.008135 | 0.122653 | 0.02599 | 0.015744 | 0.022492 | 0.952143 | 0.949144 | 0.936524 | 0.922279 | 0.891416 | 0.888917 | 0 | 0.035521 | 0.305044 | 14,057 | 407 | 117 | 34.538084 | 0.783704 | 0.205236 | 0 | 0.784483 | 0 | 0 | 0.023547 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.051724 | false | 0 | 0.017241 | 0 | 0.068966 | 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 |
e3a6a0b41be61961bde1100446df49e86d5f1be8 | 2,294 | py | Python | kabusapi/wallet.py | dogwood008/python-kabusapi | 7e7a5ac232e037c651b5447b408d8b0b6727c9b0 | [
"MIT"
] | 11 | 2020-10-02T04:27:50.000Z | 2022-01-05T03:41:03.000Z | kabusapi/wallet.py | dogwood008/python-kabusapi | 7e7a5ac232e037c651b5447b408d8b0b6727c9b0 | [
"MIT"
] | 1 | 2020-12-15T03:52:45.000Z | 2020-12-15T23:28:04.000Z | kabusapi/wallet.py | dogwood008/python-kabusapi | 7e7a5ac232e037c651b5447b408d8b0b6727c9b0 | [
"MIT"
] | 5 | 2021-02-21T16:25:50.000Z | 2022-02-15T08:11:43.000Z | import requests
import json
class EntitySpec(object):
def __init__(self, ctx):
self.ctx = ctx
def cash(self, **kwargs):
symbol = kwargs.get("symbol")
exchange = kwargs.get("exchange")
if symbol and exchange:
response = requests.get(
self.ctx._base_url + '/kabusapi/wallet/cash'
+ '/' + str(symbol) + '@' + str(exchange),
headers=self.ctx._headers)
else:
response = requests.get(
self.ctx._base_url + '/kabusapi/wallet/cash',
headers=self.ctx._headers)
return json.loads(response.text)
def margin(self, **kwargs):
symbol = kwargs.get("symbol")
exchange = kwargs.get("exchange")
if symbol and exchange:
response = requests.get(
self.ctx._base_url + '/kabusapi/wallet/margin'
+ '/' + str(symbol) + '@' + str(exchange),
headers=self.ctx._headers)
else:
response = requests.get(
self.ctx._base_url + '/kabusapi/wallet/margin',
headers=self.ctx._headers)
return json.loads(response.text)
def future(self, **kwargs):
symbol = kwargs.get("symbol")
exchange = kwargs.get("exchange")
if symbol and exchange:
response = requests.get(
self.ctx._base_url + '/kabusapi/wallet/future'
+ '/' + str(symbol) + '@' + str(exchange),
headers=self.ctx._headers)
else:
response = requests.get(
self.ctx._base_url + '/kabusapi/wallet/future',
headers=self.ctx._headers)
return json.loads(response.text)
def option(self, **kwargs):
symbol = kwargs.get("symbol")
exchange = kwargs.get("exchange")
if symbol and exchange:
response = requests.get(
self.ctx._base_url + '/kabusapi/wallet/option'
+ '/' + str(symbol) + '@' + str(exchange),
headers=self.ctx._headers)
else:
response = requests.get(
self.ctx._base_url + '/kabusapi/wallet/option',
headers=self.ctx._headers)
return json.loads(response.text)
| 31.861111 | 63 | 0.53313 | 230 | 2,294 | 5.195652 | 0.134783 | 0.105439 | 0.127197 | 0.153975 | 0.921339 | 0.921339 | 0.921339 | 0.921339 | 0.921339 | 0.881172 | 0 | 0 | 0.340889 | 2,294 | 71 | 64 | 32.309859 | 0.790344 | 0 | 0 | 0.701754 | 0 | 0 | 0.106364 | 0.078466 | 0 | 0 | 0 | 0 | 0 | 1 | 0.087719 | false | 0 | 0.035088 | 0 | 0.210526 | 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 |
e3cd51093b099b8c71a12a3b61f7174a93832412 | 148,763 | py | Python | python/sbp/navigation.py | Patrick-Luo-THR/libsbp | d42e4a1e3cedf6a82b1d993b82e0da148401f80d | [
"MIT"
] | 65 | 2015-03-25T10:28:10.000Z | 2022-02-24T12:36:49.000Z | python/sbp/navigation.py | Patrick-Luo-THR/libsbp | d42e4a1e3cedf6a82b1d993b82e0da148401f80d | [
"MIT"
] | 654 | 2015-03-24T17:43:55.000Z | 2022-03-31T21:42:49.000Z | python/sbp/navigation.py | Patrick-Luo-THR/libsbp | d42e4a1e3cedf6a82b1d993b82e0da148401f80d | [
"MIT"
] | 110 | 2015-03-24T17:38:35.000Z | 2022-03-21T02:05:19.000Z | #!/usr/bin/env python
# Copyright (C) 2015-2021 Swift Navigation Inc.
# Contact: https://support.swiftnav.com
#
# This source is subject to the license found in the file 'LICENSE' which must
# be be distributed together with this source. All other rights reserved.
#
# THIS CODE AND INFORMATION IS PROVIDED "AS IS" WITHOUT WARRANTY OF ANY KIND,
# EITHER EXPRESSED OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE IMPLIED
# WARRANTIES OF MERCHANTABILITY AND/OR FITNESS FOR A PARTICULAR PURPOSE.
"""
Geodetic navigation messages reporting GPS time, position, velocity, and
baseline position solutions. For position solutions, these messages define
several different position solutions: single-point (SPP), RTK, and pseudo-
absolute position solutions.
The SPP is the standalone, absolute GPS position solution using only a
single receiver. The RTK solution is the differential GPS solution, which
can use either a fixed/integer or floating carrier phase ambiguity. The
pseudo-absolute position solution uses a user-provided, well-surveyed base
station position (if available) and the RTK solution in tandem.
When the inertial navigation mode indicates that the IMU is used, all
messages are reported in the vehicle body frame as defined by device
settings. By default, the vehicle body frame is configured to be coincident
with the antenna phase center. When there is no inertial navigation, the
solution will be reported at the phase center of the antenna. There is no
inertial navigation capability on Piksi Multi or Duro.
The tow field, when valid, is most often the Time of Measurement. When this
is the case, the 5th bit of flags is set to the default value of 0. When
this is not the case, the tow may be a time of arrival or a local system
timestamp, irrespective of the time reference (GPS Week or else), but not a
Time of Measurement.
"""
import json
import construct
from sbp.msg import SBP, SENDER_ID
from sbp.utils import fmt_repr, exclude_fields, walk_json_dict, containerize
# Automatically generated from piksi/yaml/swiftnav/sbp/navigation.yaml with generate.py.
# Please do not hand edit!
class EstimatedHorizontalErrorEllipse(object):
"""EstimatedHorizontalErrorEllipse.
Parameters
----------
semi_major : float
The semi major axis of the estimated horizontal error ellipse at the user-
configured confidence level; zero implies invalid.
semi_minor : float
The semi minor axis of the estimated horizontal error ellipse at the user-
configured confidence level; zero implies invalid.
orientation : float
The orientation of the semi major axis of the estimated horizontal error
ellipse with respect to North.
"""
_parser = construct.Struct(
'semi_major' / construct.Float32l,
'semi_minor' / construct.Float32l,
'orientation' / construct.Float32l,)
__slots__ = [
'semi_major',
'semi_minor',
'orientation',
]
def __init__(self, payload=None, **kwargs):
if payload:
self.from_binary(payload)
else:
self.semi_major = kwargs.pop('semi_major')
self.semi_minor = kwargs.pop('semi_minor')
self.orientation = kwargs.pop('orientation')
def __repr__(self):
return fmt_repr(self)
def from_binary(self, d):
p = EstimatedHorizontalErrorEllipse._parser.parse(d)
for n in self.__class__.__slots__:
setattr(self, n, getattr(p, n))
SBP_MSG_GPS_TIME = 0x0102
class MsgGPSTime(SBP):
"""SBP class for message MSG_GPS_TIME (0x0102).
You can have MSG_GPS_TIME inherit its fields directly
from an inherited SBP object, or construct it inline using a dict
of its fields.
This message reports the GPS time, representing the time since the GPS epoch
began on midnight January 6, 1980 UTC. GPS time counts the weeks and seconds
of the week. The weeks begin at the Saturday/Sunday transition. GPS week 0
began at the beginning of the GPS time scale.
Within each week number, the GPS time of the week is between between 0 and
604800 seconds (=60*60*24*7). Note that GPS time does not accumulate leap
seconds, and as of now, has a small offset from UTC. In a message stream,
this message precedes a set of other navigation messages referenced to the
same time (but lacking the ns field) and indicates a more precise time of
these messages.
Parameters
----------
sbp : SBP
SBP parent object to inherit from.
wn : int
GPS week number
tow : int
GPS time of week rounded to the nearest millisecond
ns_residual : int
Nanosecond residual of millisecond-rounded TOW (ranges from -500000 to
500000)
flags : int
Status flags (reserved)
sender : int
Optional sender ID, defaults to SENDER_ID (see sbp/msg.py).
"""
_parser = construct.Struct(
'wn' / construct.Int16ul,
'tow' / construct.Int32ul,
'ns_residual' / construct.Int32sl,
'flags' / construct.Int8ul,)
__slots__ = [
'wn',
'tow',
'ns_residual',
'flags',
]
def __init__(self, sbp=None, **kwargs):
if sbp:
super( MsgGPSTime,
self).__init__(sbp.msg_type, sbp.sender, sbp.length,
sbp.payload, sbp.crc)
self.from_binary(sbp.payload)
else:
super( MsgGPSTime, self).__init__()
self.msg_type = SBP_MSG_GPS_TIME
self.sender = kwargs.pop('sender', SENDER_ID)
self.wn = kwargs.pop('wn')
self.tow = kwargs.pop('tow')
self.ns_residual = kwargs.pop('ns_residual')
self.flags = kwargs.pop('flags')
def __repr__(self):
return fmt_repr(self)
@staticmethod
def from_json(s):
"""Given a JSON-encoded string s, build a message object.
"""
d = json.loads(s)
return MsgGPSTime.from_json_dict(d)
@staticmethod
def from_json_dict(d):
sbp = SBP.from_json_dict(d)
return MsgGPSTime(sbp, **d)
def from_binary(self, d):
"""Given a binary payload d, update the appropriate payload fields of
the message.
"""
p = MsgGPSTime._parser.parse(d)
for n in self.__class__.__slots__:
setattr(self, n, getattr(p, n))
def to_binary(self):
"""Produce a framed/packed SBP message.
"""
c = containerize(exclude_fields(self))
self.payload = MsgGPSTime._parser.build(c)
return self.pack()
def into_buffer(self, buf, offset):
"""Produce a framed/packed SBP message into the provided buffer and offset.
"""
self.payload = containerize(exclude_fields(self))
self.parser = MsgGPSTime._parser
self.stream_payload.reset(buf, offset)
return self.pack_into(buf, offset, self._build_payload)
def to_json_dict(self):
self.to_binary()
d = super( MsgGPSTime, self).to_json_dict()
j = walk_json_dict(exclude_fields(self))
d.update(j)
return d
SBP_MSG_GPS_TIME_GNSS = 0x0104
class MsgGPSTimeGnss(SBP):
"""SBP class for message MSG_GPS_TIME_GNSS (0x0104).
You can have MSG_GPS_TIME_GNSS inherit its fields directly
from an inherited SBP object, or construct it inline using a dict
of its fields.
This message reports the GPS time, representing the time since the GPS epoch
began on midnight January 6, 1980 UTC. GPS time counts the weeks and seconds
of the week. The weeks begin at the Saturday/Sunday transition. GPS week 0
began at the beginning of the GPS time scale.
Within each week number, the GPS time of the week is between between 0 and
604800 seconds (=60*60*24*7). Note that GPS time does not accumulate leap
seconds, and as of now, has a small offset from UTC. In a message stream,
this message precedes a set of other navigation messages referenced to the
same time (but lacking the ns field) and indicates a more precise time of
these messages.
Parameters
----------
sbp : SBP
SBP parent object to inherit from.
wn : int
GPS week number
tow : int
GPS time of week rounded to the nearest millisecond
ns_residual : int
Nanosecond residual of millisecond-rounded TOW (ranges from -500000 to
500000)
flags : int
Status flags (reserved)
sender : int
Optional sender ID, defaults to SENDER_ID (see sbp/msg.py).
"""
_parser = construct.Struct(
'wn' / construct.Int16ul,
'tow' / construct.Int32ul,
'ns_residual' / construct.Int32sl,
'flags' / construct.Int8ul,)
__slots__ = [
'wn',
'tow',
'ns_residual',
'flags',
]
def __init__(self, sbp=None, **kwargs):
if sbp:
super( MsgGPSTimeGnss,
self).__init__(sbp.msg_type, sbp.sender, sbp.length,
sbp.payload, sbp.crc)
self.from_binary(sbp.payload)
else:
super( MsgGPSTimeGnss, self).__init__()
self.msg_type = SBP_MSG_GPS_TIME_GNSS
self.sender = kwargs.pop('sender', SENDER_ID)
self.wn = kwargs.pop('wn')
self.tow = kwargs.pop('tow')
self.ns_residual = kwargs.pop('ns_residual')
self.flags = kwargs.pop('flags')
def __repr__(self):
return fmt_repr(self)
@staticmethod
def from_json(s):
"""Given a JSON-encoded string s, build a message object.
"""
d = json.loads(s)
return MsgGPSTimeGnss.from_json_dict(d)
@staticmethod
def from_json_dict(d):
sbp = SBP.from_json_dict(d)
return MsgGPSTimeGnss(sbp, **d)
def from_binary(self, d):
"""Given a binary payload d, update the appropriate payload fields of
the message.
"""
p = MsgGPSTimeGnss._parser.parse(d)
for n in self.__class__.__slots__:
setattr(self, n, getattr(p, n))
def to_binary(self):
"""Produce a framed/packed SBP message.
"""
c = containerize(exclude_fields(self))
self.payload = MsgGPSTimeGnss._parser.build(c)
return self.pack()
def into_buffer(self, buf, offset):
"""Produce a framed/packed SBP message into the provided buffer and offset.
"""
self.payload = containerize(exclude_fields(self))
self.parser = MsgGPSTimeGnss._parser
self.stream_payload.reset(buf, offset)
return self.pack_into(buf, offset, self._build_payload)
def to_json_dict(self):
self.to_binary()
d = super( MsgGPSTimeGnss, self).to_json_dict()
j = walk_json_dict(exclude_fields(self))
d.update(j)
return d
SBP_MSG_UTC_TIME = 0x0103
class MsgUtcTime(SBP):
"""SBP class for message MSG_UTC_TIME (0x0103).
You can have MSG_UTC_TIME inherit its fields directly
from an inherited SBP object, or construct it inline using a dict
of its fields.
This message reports the Universal Coordinated Time (UTC). Note the flags
which indicate the source of the UTC offset value and source of the time
fix.
Parameters
----------
sbp : SBP
SBP parent object to inherit from.
flags : int
Indicates source and time validity
tow : int
GPS time of week rounded to the nearest millisecond
year : int
Year
month : int
Month (range 1 .. 12)
day : int
days in the month (range 1-31)
hours : int
hours of day (range 0-23)
minutes : int
minutes of hour (range 0-59)
seconds : int
seconds of minute (range 0-60) rounded down
ns : int
nanoseconds of second (range 0-999999999)
sender : int
Optional sender ID, defaults to SENDER_ID (see sbp/msg.py).
"""
_parser = construct.Struct(
'flags' / construct.Int8ul,
'tow' / construct.Int32ul,
'year' / construct.Int16ul,
'month' / construct.Int8ul,
'day' / construct.Int8ul,
'hours' / construct.Int8ul,
'minutes' / construct.Int8ul,
'seconds' / construct.Int8ul,
'ns' / construct.Int32ul,)
__slots__ = [
'flags',
'tow',
'year',
'month',
'day',
'hours',
'minutes',
'seconds',
'ns',
]
def __init__(self, sbp=None, **kwargs):
if sbp:
super( MsgUtcTime,
self).__init__(sbp.msg_type, sbp.sender, sbp.length,
sbp.payload, sbp.crc)
self.from_binary(sbp.payload)
else:
super( MsgUtcTime, self).__init__()
self.msg_type = SBP_MSG_UTC_TIME
self.sender = kwargs.pop('sender', SENDER_ID)
self.flags = kwargs.pop('flags')
self.tow = kwargs.pop('tow')
self.year = kwargs.pop('year')
self.month = kwargs.pop('month')
self.day = kwargs.pop('day')
self.hours = kwargs.pop('hours')
self.minutes = kwargs.pop('minutes')
self.seconds = kwargs.pop('seconds')
self.ns = kwargs.pop('ns')
def __repr__(self):
return fmt_repr(self)
@staticmethod
def from_json(s):
"""Given a JSON-encoded string s, build a message object.
"""
d = json.loads(s)
return MsgUtcTime.from_json_dict(d)
@staticmethod
def from_json_dict(d):
sbp = SBP.from_json_dict(d)
return MsgUtcTime(sbp, **d)
def from_binary(self, d):
"""Given a binary payload d, update the appropriate payload fields of
the message.
"""
p = MsgUtcTime._parser.parse(d)
for n in self.__class__.__slots__:
setattr(self, n, getattr(p, n))
def to_binary(self):
"""Produce a framed/packed SBP message.
"""
c = containerize(exclude_fields(self))
self.payload = MsgUtcTime._parser.build(c)
return self.pack()
def into_buffer(self, buf, offset):
"""Produce a framed/packed SBP message into the provided buffer and offset.
"""
self.payload = containerize(exclude_fields(self))
self.parser = MsgUtcTime._parser
self.stream_payload.reset(buf, offset)
return self.pack_into(buf, offset, self._build_payload)
def to_json_dict(self):
self.to_binary()
d = super( MsgUtcTime, self).to_json_dict()
j = walk_json_dict(exclude_fields(self))
d.update(j)
return d
SBP_MSG_UTC_TIME_GNSS = 0x0105
class MsgUtcTimeGnss(SBP):
"""SBP class for message MSG_UTC_TIME_GNSS (0x0105).
You can have MSG_UTC_TIME_GNSS inherit its fields directly
from an inherited SBP object, or construct it inline using a dict
of its fields.
This message reports the Universal Coordinated Time (UTC). Note the flags
which indicate the source of the UTC offset value and source of the time
fix.
Parameters
----------
sbp : SBP
SBP parent object to inherit from.
flags : int
Indicates source and time validity
tow : int
GPS time of week rounded to the nearest millisecond
year : int
Year
month : int
Month (range 1 .. 12)
day : int
days in the month (range 1-31)
hours : int
hours of day (range 0-23)
minutes : int
minutes of hour (range 0-59)
seconds : int
seconds of minute (range 0-60) rounded down
ns : int
nanoseconds of second (range 0-999999999)
sender : int
Optional sender ID, defaults to SENDER_ID (see sbp/msg.py).
"""
_parser = construct.Struct(
'flags' / construct.Int8ul,
'tow' / construct.Int32ul,
'year' / construct.Int16ul,
'month' / construct.Int8ul,
'day' / construct.Int8ul,
'hours' / construct.Int8ul,
'minutes' / construct.Int8ul,
'seconds' / construct.Int8ul,
'ns' / construct.Int32ul,)
__slots__ = [
'flags',
'tow',
'year',
'month',
'day',
'hours',
'minutes',
'seconds',
'ns',
]
def __init__(self, sbp=None, **kwargs):
if sbp:
super( MsgUtcTimeGnss,
self).__init__(sbp.msg_type, sbp.sender, sbp.length,
sbp.payload, sbp.crc)
self.from_binary(sbp.payload)
else:
super( MsgUtcTimeGnss, self).__init__()
self.msg_type = SBP_MSG_UTC_TIME_GNSS
self.sender = kwargs.pop('sender', SENDER_ID)
self.flags = kwargs.pop('flags')
self.tow = kwargs.pop('tow')
self.year = kwargs.pop('year')
self.month = kwargs.pop('month')
self.day = kwargs.pop('day')
self.hours = kwargs.pop('hours')
self.minutes = kwargs.pop('minutes')
self.seconds = kwargs.pop('seconds')
self.ns = kwargs.pop('ns')
def __repr__(self):
return fmt_repr(self)
@staticmethod
def from_json(s):
"""Given a JSON-encoded string s, build a message object.
"""
d = json.loads(s)
return MsgUtcTimeGnss.from_json_dict(d)
@staticmethod
def from_json_dict(d):
sbp = SBP.from_json_dict(d)
return MsgUtcTimeGnss(sbp, **d)
def from_binary(self, d):
"""Given a binary payload d, update the appropriate payload fields of
the message.
"""
p = MsgUtcTimeGnss._parser.parse(d)
for n in self.__class__.__slots__:
setattr(self, n, getattr(p, n))
def to_binary(self):
"""Produce a framed/packed SBP message.
"""
c = containerize(exclude_fields(self))
self.payload = MsgUtcTimeGnss._parser.build(c)
return self.pack()
def into_buffer(self, buf, offset):
"""Produce a framed/packed SBP message into the provided buffer and offset.
"""
self.payload = containerize(exclude_fields(self))
self.parser = MsgUtcTimeGnss._parser
self.stream_payload.reset(buf, offset)
return self.pack_into(buf, offset, self._build_payload)
def to_json_dict(self):
self.to_binary()
d = super( MsgUtcTimeGnss, self).to_json_dict()
j = walk_json_dict(exclude_fields(self))
d.update(j)
return d
SBP_MSG_DOPS = 0x0208
class MsgDops(SBP):
"""SBP class for message MSG_DOPS (0x0208).
You can have MSG_DOPS inherit its fields directly
from an inherited SBP object, or construct it inline using a dict
of its fields.
This dilution of precision (DOP) message describes the effect of navigation
satellite geometry on positional measurement precision. The flags field
indicated whether the DOP reported corresponds to differential or SPP
solution.
Parameters
----------
sbp : SBP
SBP parent object to inherit from.
tow : int
GPS Time of Week
gdop : int
Geometric Dilution of Precision
pdop : int
Position Dilution of Precision
tdop : int
Time Dilution of Precision
hdop : int
Horizontal Dilution of Precision
vdop : int
Vertical Dilution of Precision
flags : int
Indicates the position solution with which the DOPS message corresponds
sender : int
Optional sender ID, defaults to SENDER_ID (see sbp/msg.py).
"""
_parser = construct.Struct(
'tow' / construct.Int32ul,
'gdop' / construct.Int16ul,
'pdop' / construct.Int16ul,
'tdop' / construct.Int16ul,
'hdop' / construct.Int16ul,
'vdop' / construct.Int16ul,
'flags' / construct.Int8ul,)
__slots__ = [
'tow',
'gdop',
'pdop',
'tdop',
'hdop',
'vdop',
'flags',
]
def __init__(self, sbp=None, **kwargs):
if sbp:
super( MsgDops,
self).__init__(sbp.msg_type, sbp.sender, sbp.length,
sbp.payload, sbp.crc)
self.from_binary(sbp.payload)
else:
super( MsgDops, self).__init__()
self.msg_type = SBP_MSG_DOPS
self.sender = kwargs.pop('sender', SENDER_ID)
self.tow = kwargs.pop('tow')
self.gdop = kwargs.pop('gdop')
self.pdop = kwargs.pop('pdop')
self.tdop = kwargs.pop('tdop')
self.hdop = kwargs.pop('hdop')
self.vdop = kwargs.pop('vdop')
self.flags = kwargs.pop('flags')
def __repr__(self):
return fmt_repr(self)
@staticmethod
def from_json(s):
"""Given a JSON-encoded string s, build a message object.
"""
d = json.loads(s)
return MsgDops.from_json_dict(d)
@staticmethod
def from_json_dict(d):
sbp = SBP.from_json_dict(d)
return MsgDops(sbp, **d)
def from_binary(self, d):
"""Given a binary payload d, update the appropriate payload fields of
the message.
"""
p = MsgDops._parser.parse(d)
for n in self.__class__.__slots__:
setattr(self, n, getattr(p, n))
def to_binary(self):
"""Produce a framed/packed SBP message.
"""
c = containerize(exclude_fields(self))
self.payload = MsgDops._parser.build(c)
return self.pack()
def into_buffer(self, buf, offset):
"""Produce a framed/packed SBP message into the provided buffer and offset.
"""
self.payload = containerize(exclude_fields(self))
self.parser = MsgDops._parser
self.stream_payload.reset(buf, offset)
return self.pack_into(buf, offset, self._build_payload)
def to_json_dict(self):
self.to_binary()
d = super( MsgDops, self).to_json_dict()
j = walk_json_dict(exclude_fields(self))
d.update(j)
return d
SBP_MSG_POS_ECEF = 0x0209
class MsgPosECEF(SBP):
"""SBP class for message MSG_POS_ECEF (0x0209).
You can have MSG_POS_ECEF inherit its fields directly
from an inherited SBP object, or construct it inline using a dict
of its fields.
The position solution message reports absolute Earth Centered Earth Fixed
(ECEF) coordinates and the status (single point vs pseudo-absolute RTK) of
the position solution. If the rover receiver knows the surveyed position of
the base station and has an RTK solution, this reports a pseudo-absolute
position solution using the base station position and the rover's RTK
baseline vector. The full GPS time is given by the preceding MSG_GPS_TIME
with the matching time-of-week (tow).
Parameters
----------
sbp : SBP
SBP parent object to inherit from.
tow : int
GPS Time of Week
x : double
ECEF X coordinate
y : double
ECEF Y coordinate
z : double
ECEF Z coordinate
accuracy : int
Position estimated standard deviation
n_sats : int
Number of satellites used in solution
flags : int
Status flags
sender : int
Optional sender ID, defaults to SENDER_ID (see sbp/msg.py).
"""
_parser = construct.Struct(
'tow' / construct.Int32ul,
'x' / construct.Float64l,
'y' / construct.Float64l,
'z' / construct.Float64l,
'accuracy' / construct.Int16ul,
'n_sats' / construct.Int8ul,
'flags' / construct.Int8ul,)
__slots__ = [
'tow',
'x',
'y',
'z',
'accuracy',
'n_sats',
'flags',
]
def __init__(self, sbp=None, **kwargs):
if sbp:
super( MsgPosECEF,
self).__init__(sbp.msg_type, sbp.sender, sbp.length,
sbp.payload, sbp.crc)
self.from_binary(sbp.payload)
else:
super( MsgPosECEF, self).__init__()
self.msg_type = SBP_MSG_POS_ECEF
self.sender = kwargs.pop('sender', SENDER_ID)
self.tow = kwargs.pop('tow')
self.x = kwargs.pop('x')
self.y = kwargs.pop('y')
self.z = kwargs.pop('z')
self.accuracy = kwargs.pop('accuracy')
self.n_sats = kwargs.pop('n_sats')
self.flags = kwargs.pop('flags')
def __repr__(self):
return fmt_repr(self)
@staticmethod
def from_json(s):
"""Given a JSON-encoded string s, build a message object.
"""
d = json.loads(s)
return MsgPosECEF.from_json_dict(d)
@staticmethod
def from_json_dict(d):
sbp = SBP.from_json_dict(d)
return MsgPosECEF(sbp, **d)
def from_binary(self, d):
"""Given a binary payload d, update the appropriate payload fields of
the message.
"""
p = MsgPosECEF._parser.parse(d)
for n in self.__class__.__slots__:
setattr(self, n, getattr(p, n))
def to_binary(self):
"""Produce a framed/packed SBP message.
"""
c = containerize(exclude_fields(self))
self.payload = MsgPosECEF._parser.build(c)
return self.pack()
def into_buffer(self, buf, offset):
"""Produce a framed/packed SBP message into the provided buffer and offset.
"""
self.payload = containerize(exclude_fields(self))
self.parser = MsgPosECEF._parser
self.stream_payload.reset(buf, offset)
return self.pack_into(buf, offset, self._build_payload)
def to_json_dict(self):
self.to_binary()
d = super( MsgPosECEF, self).to_json_dict()
j = walk_json_dict(exclude_fields(self))
d.update(j)
return d
SBP_MSG_POS_ECEF_COV = 0x0214
class MsgPosECEFCov(SBP):
"""SBP class for message MSG_POS_ECEF_COV (0x0214).
You can have MSG_POS_ECEF_COV inherit its fields directly
from an inherited SBP object, or construct it inline using a dict
of its fields.
The position solution message reports absolute Earth Centered Earth Fixed
(ECEF) coordinates and the status (single point vs pseudo-absolute RTK) of
the position solution. The message also reports the upper triangular portion
of the 3x3 covariance matrix. If the receiver knows the surveyed position of
the base station and has an RTK solution, this reports a pseudo-absolute
position solution using the base station position and the rover's RTK
baseline vector. The full GPS time is given by the preceding MSG_GPS_TIME
with the matching time-of-week (tow).
Parameters
----------
sbp : SBP
SBP parent object to inherit from.
tow : int
GPS Time of Week
x : double
ECEF X coordinate
y : double
ECEF Y coordinate
z : double
ECEF Z coordinate
cov_x_x : float
Estimated variance of x
cov_x_y : float
Estimated covariance of x and y
cov_x_z : float
Estimated covariance of x and z
cov_y_y : float
Estimated variance of y
cov_y_z : float
Estimated covariance of y and z
cov_z_z : float
Estimated variance of z
n_sats : int
Number of satellites used in solution
flags : int
Status flags
sender : int
Optional sender ID, defaults to SENDER_ID (see sbp/msg.py).
"""
_parser = construct.Struct(
'tow' / construct.Int32ul,
'x' / construct.Float64l,
'y' / construct.Float64l,
'z' / construct.Float64l,
'cov_x_x' / construct.Float32l,
'cov_x_y' / construct.Float32l,
'cov_x_z' / construct.Float32l,
'cov_y_y' / construct.Float32l,
'cov_y_z' / construct.Float32l,
'cov_z_z' / construct.Float32l,
'n_sats' / construct.Int8ul,
'flags' / construct.Int8ul,)
__slots__ = [
'tow',
'x',
'y',
'z',
'cov_x_x',
'cov_x_y',
'cov_x_z',
'cov_y_y',
'cov_y_z',
'cov_z_z',
'n_sats',
'flags',
]
def __init__(self, sbp=None, **kwargs):
if sbp:
super( MsgPosECEFCov,
self).__init__(sbp.msg_type, sbp.sender, sbp.length,
sbp.payload, sbp.crc)
self.from_binary(sbp.payload)
else:
super( MsgPosECEFCov, self).__init__()
self.msg_type = SBP_MSG_POS_ECEF_COV
self.sender = kwargs.pop('sender', SENDER_ID)
self.tow = kwargs.pop('tow')
self.x = kwargs.pop('x')
self.y = kwargs.pop('y')
self.z = kwargs.pop('z')
self.cov_x_x = kwargs.pop('cov_x_x')
self.cov_x_y = kwargs.pop('cov_x_y')
self.cov_x_z = kwargs.pop('cov_x_z')
self.cov_y_y = kwargs.pop('cov_y_y')
self.cov_y_z = kwargs.pop('cov_y_z')
self.cov_z_z = kwargs.pop('cov_z_z')
self.n_sats = kwargs.pop('n_sats')
self.flags = kwargs.pop('flags')
def __repr__(self):
return fmt_repr(self)
@staticmethod
def from_json(s):
"""Given a JSON-encoded string s, build a message object.
"""
d = json.loads(s)
return MsgPosECEFCov.from_json_dict(d)
@staticmethod
def from_json_dict(d):
sbp = SBP.from_json_dict(d)
return MsgPosECEFCov(sbp, **d)
def from_binary(self, d):
"""Given a binary payload d, update the appropriate payload fields of
the message.
"""
p = MsgPosECEFCov._parser.parse(d)
for n in self.__class__.__slots__:
setattr(self, n, getattr(p, n))
def to_binary(self):
"""Produce a framed/packed SBP message.
"""
c = containerize(exclude_fields(self))
self.payload = MsgPosECEFCov._parser.build(c)
return self.pack()
def into_buffer(self, buf, offset):
"""Produce a framed/packed SBP message into the provided buffer and offset.
"""
self.payload = containerize(exclude_fields(self))
self.parser = MsgPosECEFCov._parser
self.stream_payload.reset(buf, offset)
return self.pack_into(buf, offset, self._build_payload)
def to_json_dict(self):
self.to_binary()
d = super( MsgPosECEFCov, self).to_json_dict()
j = walk_json_dict(exclude_fields(self))
d.update(j)
return d
SBP_MSG_POS_LLH = 0x020A
class MsgPosLLH(SBP):
"""SBP class for message MSG_POS_LLH (0x020A).
You can have MSG_POS_LLH inherit its fields directly
from an inherited SBP object, or construct it inline using a dict
of its fields.
This position solution message reports the absolute geodetic coordinates and
the status (single point vs pseudo-absolute RTK) of the position solution.
If the rover receiver knows the surveyed position of the base station and
has an RTK solution, this reports a pseudo-absolute position solution using
the base station position and the rover's RTK baseline vector. The full GPS
time is given by the preceding MSG_GPS_TIME with the matching time-of-week
(tow).
Parameters
----------
sbp : SBP
SBP parent object to inherit from.
tow : int
GPS Time of Week
lat : double
Latitude
lon : double
Longitude
height : double
Height above WGS84 ellipsoid
h_accuracy : int
Horizontal position estimated standard deviation
v_accuracy : int
Vertical position estimated standard deviation
n_sats : int
Number of satellites used in solution.
flags : int
Status flags
sender : int
Optional sender ID, defaults to SENDER_ID (see sbp/msg.py).
"""
_parser = construct.Struct(
'tow' / construct.Int32ul,
'lat' / construct.Float64l,
'lon' / construct.Float64l,
'height' / construct.Float64l,
'h_accuracy' / construct.Int16ul,
'v_accuracy' / construct.Int16ul,
'n_sats' / construct.Int8ul,
'flags' / construct.Int8ul,)
__slots__ = [
'tow',
'lat',
'lon',
'height',
'h_accuracy',
'v_accuracy',
'n_sats',
'flags',
]
def __init__(self, sbp=None, **kwargs):
if sbp:
super( MsgPosLLH,
self).__init__(sbp.msg_type, sbp.sender, sbp.length,
sbp.payload, sbp.crc)
self.from_binary(sbp.payload)
else:
super( MsgPosLLH, self).__init__()
self.msg_type = SBP_MSG_POS_LLH
self.sender = kwargs.pop('sender', SENDER_ID)
self.tow = kwargs.pop('tow')
self.lat = kwargs.pop('lat')
self.lon = kwargs.pop('lon')
self.height = kwargs.pop('height')
self.h_accuracy = kwargs.pop('h_accuracy')
self.v_accuracy = kwargs.pop('v_accuracy')
self.n_sats = kwargs.pop('n_sats')
self.flags = kwargs.pop('flags')
def __repr__(self):
return fmt_repr(self)
@staticmethod
def from_json(s):
"""Given a JSON-encoded string s, build a message object.
"""
d = json.loads(s)
return MsgPosLLH.from_json_dict(d)
@staticmethod
def from_json_dict(d):
sbp = SBP.from_json_dict(d)
return MsgPosLLH(sbp, **d)
def from_binary(self, d):
"""Given a binary payload d, update the appropriate payload fields of
the message.
"""
p = MsgPosLLH._parser.parse(d)
for n in self.__class__.__slots__:
setattr(self, n, getattr(p, n))
def to_binary(self):
"""Produce a framed/packed SBP message.
"""
c = containerize(exclude_fields(self))
self.payload = MsgPosLLH._parser.build(c)
return self.pack()
def into_buffer(self, buf, offset):
"""Produce a framed/packed SBP message into the provided buffer and offset.
"""
self.payload = containerize(exclude_fields(self))
self.parser = MsgPosLLH._parser
self.stream_payload.reset(buf, offset)
return self.pack_into(buf, offset, self._build_payload)
def to_json_dict(self):
self.to_binary()
d = super( MsgPosLLH, self).to_json_dict()
j = walk_json_dict(exclude_fields(self))
d.update(j)
return d
SBP_MSG_POS_LLH_COV = 0x0211
class MsgPosLLHCov(SBP):
"""SBP class for message MSG_POS_LLH_COV (0x0211).
You can have MSG_POS_LLH_COV inherit its fields directly
from an inherited SBP object, or construct it inline using a dict
of its fields.
This position solution message reports the absolute geodetic coordinates and
the status (single point vs pseudo-absolute RTK) of the position solution as
well as the upper triangle of the 3x3 covariance matrix. The position
information and Fix Mode flags follow the MSG_POS_LLH message. Since the
covariance matrix is computed in the local-level North, East, Down frame,
the covariance terms follow that convention. Thus, covariances are reported
against the "downward" measurement and care should be taken with the sign
convention.
Parameters
----------
sbp : SBP
SBP parent object to inherit from.
tow : int
GPS Time of Week
lat : double
Latitude
lon : double
Longitude
height : double
Height above WGS84 ellipsoid
cov_n_n : float
Estimated variance of northing
cov_n_e : float
Covariance of northing and easting
cov_n_d : float
Covariance of northing and downward measurement
cov_e_e : float
Estimated variance of easting
cov_e_d : float
Covariance of easting and downward measurement
cov_d_d : float
Estimated variance of downward measurement
n_sats : int
Number of satellites used in solution.
flags : int
Status flags
sender : int
Optional sender ID, defaults to SENDER_ID (see sbp/msg.py).
"""
_parser = construct.Struct(
'tow' / construct.Int32ul,
'lat' / construct.Float64l,
'lon' / construct.Float64l,
'height' / construct.Float64l,
'cov_n_n' / construct.Float32l,
'cov_n_e' / construct.Float32l,
'cov_n_d' / construct.Float32l,
'cov_e_e' / construct.Float32l,
'cov_e_d' / construct.Float32l,
'cov_d_d' / construct.Float32l,
'n_sats' / construct.Int8ul,
'flags' / construct.Int8ul,)
__slots__ = [
'tow',
'lat',
'lon',
'height',
'cov_n_n',
'cov_n_e',
'cov_n_d',
'cov_e_e',
'cov_e_d',
'cov_d_d',
'n_sats',
'flags',
]
def __init__(self, sbp=None, **kwargs):
if sbp:
super( MsgPosLLHCov,
self).__init__(sbp.msg_type, sbp.sender, sbp.length,
sbp.payload, sbp.crc)
self.from_binary(sbp.payload)
else:
super( MsgPosLLHCov, self).__init__()
self.msg_type = SBP_MSG_POS_LLH_COV
self.sender = kwargs.pop('sender', SENDER_ID)
self.tow = kwargs.pop('tow')
self.lat = kwargs.pop('lat')
self.lon = kwargs.pop('lon')
self.height = kwargs.pop('height')
self.cov_n_n = kwargs.pop('cov_n_n')
self.cov_n_e = kwargs.pop('cov_n_e')
self.cov_n_d = kwargs.pop('cov_n_d')
self.cov_e_e = kwargs.pop('cov_e_e')
self.cov_e_d = kwargs.pop('cov_e_d')
self.cov_d_d = kwargs.pop('cov_d_d')
self.n_sats = kwargs.pop('n_sats')
self.flags = kwargs.pop('flags')
def __repr__(self):
return fmt_repr(self)
@staticmethod
def from_json(s):
"""Given a JSON-encoded string s, build a message object.
"""
d = json.loads(s)
return MsgPosLLHCov.from_json_dict(d)
@staticmethod
def from_json_dict(d):
sbp = SBP.from_json_dict(d)
return MsgPosLLHCov(sbp, **d)
def from_binary(self, d):
"""Given a binary payload d, update the appropriate payload fields of
the message.
"""
p = MsgPosLLHCov._parser.parse(d)
for n in self.__class__.__slots__:
setattr(self, n, getattr(p, n))
def to_binary(self):
"""Produce a framed/packed SBP message.
"""
c = containerize(exclude_fields(self))
self.payload = MsgPosLLHCov._parser.build(c)
return self.pack()
def into_buffer(self, buf, offset):
"""Produce a framed/packed SBP message into the provided buffer and offset.
"""
self.payload = containerize(exclude_fields(self))
self.parser = MsgPosLLHCov._parser
self.stream_payload.reset(buf, offset)
return self.pack_into(buf, offset, self._build_payload)
def to_json_dict(self):
self.to_binary()
d = super( MsgPosLLHCov, self).to_json_dict()
j = walk_json_dict(exclude_fields(self))
d.update(j)
return d
SBP_MSG_POS_LLH_ACC = 0x0218
class MsgPosLLHAcc(SBP):
"""SBP class for message MSG_POS_LLH_ACC (0x0218).
You can have MSG_POS_LLH_ACC inherit its fields directly
from an inherited SBP object, or construct it inline using a dict
of its fields.
This position solution message reports the absolute geodetic coordinates and
the status (single point vs pseudo-absolute RTK) of the position solution as
well as the estimated horizontal, vertical, cross-track and along-track
errors. The position information and Fix Mode flags follow the MSG_POS_LLH
message. Since the covariance matrix is computed in the local-level North,
East, Down frame, the estimated error terms follow that convention.
The estimated errors are reported at a user-configurable confidence level.
The user-configured percentile is encoded in the percentile field.
Parameters
----------
sbp : SBP
SBP parent object to inherit from.
tow : int
GPS Time of Week
lat : double
Latitude
lon : double
Longitude
height : double
Height above WGS84 ellipsoid
orthometric_height : double
Height above the geoid (i.e. height above mean sea level). See
confidence_and_geoid for geoid model used.
h_accuracy : float
Estimated horizontal error at the user-configured confidence level; zero
implies invalid.
v_accuracy : float
Estimated vertical error at the user-configured confidence level; zero
implies invalid.
ct_accuracy : float
Estimated cross-track error at the user-configured confidence level; zero
implies invalid.
at_accuracy : float
Estimated along-track error at the user-configured confidence level; zero
implies invalid.
h_ellipse : EstimatedHorizontalErrorEllipse
The estimated horizontal error ellipse at the user-configured confidence
level.
confidence_and_geoid : int
The lower bits describe the configured confidence level for the estimated
position error. The middle bits describe the geoid model used to calculate
the orthometric height.
n_sats : int
Number of satellites used in solution.
flags : int
Status flags
sender : int
Optional sender ID, defaults to SENDER_ID (see sbp/msg.py).
"""
_parser = construct.Struct(
'tow' / construct.Int32ul,
'lat' / construct.Float64l,
'lon' / construct.Float64l,
'height' / construct.Float64l,
'orthometric_height' / construct.Float64l,
'h_accuracy' / construct.Float32l,
'v_accuracy' / construct.Float32l,
'ct_accuracy' / construct.Float32l,
'at_accuracy' / construct.Float32l,
'h_ellipse' / EstimatedHorizontalErrorEllipse._parser,
'confidence_and_geoid' / construct.Int8ul,
'n_sats' / construct.Int8ul,
'flags' / construct.Int8ul,)
__slots__ = [
'tow',
'lat',
'lon',
'height',
'orthometric_height',
'h_accuracy',
'v_accuracy',
'ct_accuracy',
'at_accuracy',
'h_ellipse',
'confidence_and_geoid',
'n_sats',
'flags',
]
def __init__(self, sbp=None, **kwargs):
if sbp:
super( MsgPosLLHAcc,
self).__init__(sbp.msg_type, sbp.sender, sbp.length,
sbp.payload, sbp.crc)
self.from_binary(sbp.payload)
else:
super( MsgPosLLHAcc, self).__init__()
self.msg_type = SBP_MSG_POS_LLH_ACC
self.sender = kwargs.pop('sender', SENDER_ID)
self.tow = kwargs.pop('tow')
self.lat = kwargs.pop('lat')
self.lon = kwargs.pop('lon')
self.height = kwargs.pop('height')
self.orthometric_height = kwargs.pop('orthometric_height')
self.h_accuracy = kwargs.pop('h_accuracy')
self.v_accuracy = kwargs.pop('v_accuracy')
self.ct_accuracy = kwargs.pop('ct_accuracy')
self.at_accuracy = kwargs.pop('at_accuracy')
self.h_ellipse = kwargs.pop('h_ellipse')
self.confidence_and_geoid = kwargs.pop('confidence_and_geoid')
self.n_sats = kwargs.pop('n_sats')
self.flags = kwargs.pop('flags')
def __repr__(self):
return fmt_repr(self)
@staticmethod
def from_json(s):
"""Given a JSON-encoded string s, build a message object.
"""
d = json.loads(s)
return MsgPosLLHAcc.from_json_dict(d)
@staticmethod
def from_json_dict(d):
sbp = SBP.from_json_dict(d)
return MsgPosLLHAcc(sbp, **d)
def from_binary(self, d):
"""Given a binary payload d, update the appropriate payload fields of
the message.
"""
p = MsgPosLLHAcc._parser.parse(d)
for n in self.__class__.__slots__:
setattr(self, n, getattr(p, n))
def to_binary(self):
"""Produce a framed/packed SBP message.
"""
c = containerize(exclude_fields(self))
self.payload = MsgPosLLHAcc._parser.build(c)
return self.pack()
def into_buffer(self, buf, offset):
"""Produce a framed/packed SBP message into the provided buffer and offset.
"""
self.payload = containerize(exclude_fields(self))
self.parser = MsgPosLLHAcc._parser
self.stream_payload.reset(buf, offset)
return self.pack_into(buf, offset, self._build_payload)
def to_json_dict(self):
self.to_binary()
d = super( MsgPosLLHAcc, self).to_json_dict()
j = walk_json_dict(exclude_fields(self))
d.update(j)
return d
SBP_MSG_BASELINE_ECEF = 0x020B
class MsgBaselineECEF(SBP):
"""SBP class for message MSG_BASELINE_ECEF (0x020B).
You can have MSG_BASELINE_ECEF inherit its fields directly
from an inherited SBP object, or construct it inline using a dict
of its fields.
This message reports the baseline solution in Earth Centered Earth Fixed
(ECEF) coordinates. This baseline is the relative vector distance from the
base station to the rover receiver. The full GPS time is given by the
preceding MSG_GPS_TIME with the matching time-of-week (tow).
Parameters
----------
sbp : SBP
SBP parent object to inherit from.
tow : int
GPS Time of Week
x : int
Baseline ECEF X coordinate
y : int
Baseline ECEF Y coordinate
z : int
Baseline ECEF Z coordinate
accuracy : int
Position estimated standard deviation
n_sats : int
Number of satellites used in solution
flags : int
Status flags
sender : int
Optional sender ID, defaults to SENDER_ID (see sbp/msg.py).
"""
_parser = construct.Struct(
'tow' / construct.Int32ul,
'x' / construct.Int32sl,
'y' / construct.Int32sl,
'z' / construct.Int32sl,
'accuracy' / construct.Int16ul,
'n_sats' / construct.Int8ul,
'flags' / construct.Int8ul,)
__slots__ = [
'tow',
'x',
'y',
'z',
'accuracy',
'n_sats',
'flags',
]
def __init__(self, sbp=None, **kwargs):
if sbp:
super( MsgBaselineECEF,
self).__init__(sbp.msg_type, sbp.sender, sbp.length,
sbp.payload, sbp.crc)
self.from_binary(sbp.payload)
else:
super( MsgBaselineECEF, self).__init__()
self.msg_type = SBP_MSG_BASELINE_ECEF
self.sender = kwargs.pop('sender', SENDER_ID)
self.tow = kwargs.pop('tow')
self.x = kwargs.pop('x')
self.y = kwargs.pop('y')
self.z = kwargs.pop('z')
self.accuracy = kwargs.pop('accuracy')
self.n_sats = kwargs.pop('n_sats')
self.flags = kwargs.pop('flags')
def __repr__(self):
return fmt_repr(self)
@staticmethod
def from_json(s):
"""Given a JSON-encoded string s, build a message object.
"""
d = json.loads(s)
return MsgBaselineECEF.from_json_dict(d)
@staticmethod
def from_json_dict(d):
sbp = SBP.from_json_dict(d)
return MsgBaselineECEF(sbp, **d)
def from_binary(self, d):
"""Given a binary payload d, update the appropriate payload fields of
the message.
"""
p = MsgBaselineECEF._parser.parse(d)
for n in self.__class__.__slots__:
setattr(self, n, getattr(p, n))
def to_binary(self):
"""Produce a framed/packed SBP message.
"""
c = containerize(exclude_fields(self))
self.payload = MsgBaselineECEF._parser.build(c)
return self.pack()
def into_buffer(self, buf, offset):
"""Produce a framed/packed SBP message into the provided buffer and offset.
"""
self.payload = containerize(exclude_fields(self))
self.parser = MsgBaselineECEF._parser
self.stream_payload.reset(buf, offset)
return self.pack_into(buf, offset, self._build_payload)
def to_json_dict(self):
self.to_binary()
d = super( MsgBaselineECEF, self).to_json_dict()
j = walk_json_dict(exclude_fields(self))
d.update(j)
return d
SBP_MSG_BASELINE_NED = 0x020C
class MsgBaselineNED(SBP):
"""SBP class for message MSG_BASELINE_NED (0x020C).
You can have MSG_BASELINE_NED inherit its fields directly
from an inherited SBP object, or construct it inline using a dict
of its fields.
This message reports the baseline solution in North East Down (NED)
coordinates. This baseline is the relative vector distance from the base
station to the rover receiver, and NED coordinate system is defined at the
local WGS84 tangent plane centered at the base station position. The full
GPS time is given by the preceding MSG_GPS_TIME with the matching time-of-
week (tow).
Parameters
----------
sbp : SBP
SBP parent object to inherit from.
tow : int
GPS Time of Week
n : int
Baseline North coordinate
e : int
Baseline East coordinate
d : int
Baseline Down coordinate
h_accuracy : int
Horizontal position estimated standard deviation
v_accuracy : int
Vertical position estimated standard deviation
n_sats : int
Number of satellites used in solution
flags : int
Status flags
sender : int
Optional sender ID, defaults to SENDER_ID (see sbp/msg.py).
"""
_parser = construct.Struct(
'tow' / construct.Int32ul,
'n' / construct.Int32sl,
'e' / construct.Int32sl,
'd' / construct.Int32sl,
'h_accuracy' / construct.Int16ul,
'v_accuracy' / construct.Int16ul,
'n_sats' / construct.Int8ul,
'flags' / construct.Int8ul,)
__slots__ = [
'tow',
'n',
'e',
'd',
'h_accuracy',
'v_accuracy',
'n_sats',
'flags',
]
def __init__(self, sbp=None, **kwargs):
if sbp:
super( MsgBaselineNED,
self).__init__(sbp.msg_type, sbp.sender, sbp.length,
sbp.payload, sbp.crc)
self.from_binary(sbp.payload)
else:
super( MsgBaselineNED, self).__init__()
self.msg_type = SBP_MSG_BASELINE_NED
self.sender = kwargs.pop('sender', SENDER_ID)
self.tow = kwargs.pop('tow')
self.n = kwargs.pop('n')
self.e = kwargs.pop('e')
self.d = kwargs.pop('d')
self.h_accuracy = kwargs.pop('h_accuracy')
self.v_accuracy = kwargs.pop('v_accuracy')
self.n_sats = kwargs.pop('n_sats')
self.flags = kwargs.pop('flags')
def __repr__(self):
return fmt_repr(self)
@staticmethod
def from_json(s):
"""Given a JSON-encoded string s, build a message object.
"""
d = json.loads(s)
return MsgBaselineNED.from_json_dict(d)
@staticmethod
def from_json_dict(d):
sbp = SBP.from_json_dict(d)
return MsgBaselineNED(sbp, **d)
def from_binary(self, d):
"""Given a binary payload d, update the appropriate payload fields of
the message.
"""
p = MsgBaselineNED._parser.parse(d)
for n in self.__class__.__slots__:
setattr(self, n, getattr(p, n))
def to_binary(self):
"""Produce a framed/packed SBP message.
"""
c = containerize(exclude_fields(self))
self.payload = MsgBaselineNED._parser.build(c)
return self.pack()
def into_buffer(self, buf, offset):
"""Produce a framed/packed SBP message into the provided buffer and offset.
"""
self.payload = containerize(exclude_fields(self))
self.parser = MsgBaselineNED._parser
self.stream_payload.reset(buf, offset)
return self.pack_into(buf, offset, self._build_payload)
def to_json_dict(self):
self.to_binary()
d = super( MsgBaselineNED, self).to_json_dict()
j = walk_json_dict(exclude_fields(self))
d.update(j)
return d
SBP_MSG_VEL_ECEF = 0x020D
class MsgVelECEF(SBP):
"""SBP class for message MSG_VEL_ECEF (0x020D).
You can have MSG_VEL_ECEF inherit its fields directly
from an inherited SBP object, or construct it inline using a dict
of its fields.
This message reports the velocity in Earth Centered Earth Fixed (ECEF)
coordinates. The full GPS time is given by the preceding MSG_GPS_TIME with
the matching time-of-week (tow).
Parameters
----------
sbp : SBP
SBP parent object to inherit from.
tow : int
GPS Time of Week
x : int
Velocity ECEF X coordinate
y : int
Velocity ECEF Y coordinate
z : int
Velocity ECEF Z coordinate
accuracy : int
Velocity estimated standard deviation
n_sats : int
Number of satellites used in solution
flags : int
Status flags
sender : int
Optional sender ID, defaults to SENDER_ID (see sbp/msg.py).
"""
_parser = construct.Struct(
'tow' / construct.Int32ul,
'x' / construct.Int32sl,
'y' / construct.Int32sl,
'z' / construct.Int32sl,
'accuracy' / construct.Int16ul,
'n_sats' / construct.Int8ul,
'flags' / construct.Int8ul,)
__slots__ = [
'tow',
'x',
'y',
'z',
'accuracy',
'n_sats',
'flags',
]
def __init__(self, sbp=None, **kwargs):
if sbp:
super( MsgVelECEF,
self).__init__(sbp.msg_type, sbp.sender, sbp.length,
sbp.payload, sbp.crc)
self.from_binary(sbp.payload)
else:
super( MsgVelECEF, self).__init__()
self.msg_type = SBP_MSG_VEL_ECEF
self.sender = kwargs.pop('sender', SENDER_ID)
self.tow = kwargs.pop('tow')
self.x = kwargs.pop('x')
self.y = kwargs.pop('y')
self.z = kwargs.pop('z')
self.accuracy = kwargs.pop('accuracy')
self.n_sats = kwargs.pop('n_sats')
self.flags = kwargs.pop('flags')
def __repr__(self):
return fmt_repr(self)
@staticmethod
def from_json(s):
"""Given a JSON-encoded string s, build a message object.
"""
d = json.loads(s)
return MsgVelECEF.from_json_dict(d)
@staticmethod
def from_json_dict(d):
sbp = SBP.from_json_dict(d)
return MsgVelECEF(sbp, **d)
def from_binary(self, d):
"""Given a binary payload d, update the appropriate payload fields of
the message.
"""
p = MsgVelECEF._parser.parse(d)
for n in self.__class__.__slots__:
setattr(self, n, getattr(p, n))
def to_binary(self):
"""Produce a framed/packed SBP message.
"""
c = containerize(exclude_fields(self))
self.payload = MsgVelECEF._parser.build(c)
return self.pack()
def into_buffer(self, buf, offset):
"""Produce a framed/packed SBP message into the provided buffer and offset.
"""
self.payload = containerize(exclude_fields(self))
self.parser = MsgVelECEF._parser
self.stream_payload.reset(buf, offset)
return self.pack_into(buf, offset, self._build_payload)
def to_json_dict(self):
self.to_binary()
d = super( MsgVelECEF, self).to_json_dict()
j = walk_json_dict(exclude_fields(self))
d.update(j)
return d
SBP_MSG_VEL_ECEF_COV = 0x0215
class MsgVelECEFCov(SBP):
"""SBP class for message MSG_VEL_ECEF_COV (0x0215).
You can have MSG_VEL_ECEF_COV inherit its fields directly
from an inherited SBP object, or construct it inline using a dict
of its fields.
This message reports the velocity in Earth Centered Earth Fixed (ECEF)
coordinates. The full GPS time is given by the preceding MSG_GPS_TIME with
the matching time-of-week (tow).
Parameters
----------
sbp : SBP
SBP parent object to inherit from.
tow : int
GPS Time of Week
x : int
Velocity ECEF X coordinate
y : int
Velocity ECEF Y coordinate
z : int
Velocity ECEF Z coordinate
cov_x_x : float
Estimated variance of x
cov_x_y : float
Estimated covariance of x and y
cov_x_z : float
Estimated covariance of x and z
cov_y_y : float
Estimated variance of y
cov_y_z : float
Estimated covariance of y and z
cov_z_z : float
Estimated variance of z
n_sats : int
Number of satellites used in solution
flags : int
Status flags
sender : int
Optional sender ID, defaults to SENDER_ID (see sbp/msg.py).
"""
_parser = construct.Struct(
'tow' / construct.Int32ul,
'x' / construct.Int32sl,
'y' / construct.Int32sl,
'z' / construct.Int32sl,
'cov_x_x' / construct.Float32l,
'cov_x_y' / construct.Float32l,
'cov_x_z' / construct.Float32l,
'cov_y_y' / construct.Float32l,
'cov_y_z' / construct.Float32l,
'cov_z_z' / construct.Float32l,
'n_sats' / construct.Int8ul,
'flags' / construct.Int8ul,)
__slots__ = [
'tow',
'x',
'y',
'z',
'cov_x_x',
'cov_x_y',
'cov_x_z',
'cov_y_y',
'cov_y_z',
'cov_z_z',
'n_sats',
'flags',
]
def __init__(self, sbp=None, **kwargs):
if sbp:
super( MsgVelECEFCov,
self).__init__(sbp.msg_type, sbp.sender, sbp.length,
sbp.payload, sbp.crc)
self.from_binary(sbp.payload)
else:
super( MsgVelECEFCov, self).__init__()
self.msg_type = SBP_MSG_VEL_ECEF_COV
self.sender = kwargs.pop('sender', SENDER_ID)
self.tow = kwargs.pop('tow')
self.x = kwargs.pop('x')
self.y = kwargs.pop('y')
self.z = kwargs.pop('z')
self.cov_x_x = kwargs.pop('cov_x_x')
self.cov_x_y = kwargs.pop('cov_x_y')
self.cov_x_z = kwargs.pop('cov_x_z')
self.cov_y_y = kwargs.pop('cov_y_y')
self.cov_y_z = kwargs.pop('cov_y_z')
self.cov_z_z = kwargs.pop('cov_z_z')
self.n_sats = kwargs.pop('n_sats')
self.flags = kwargs.pop('flags')
def __repr__(self):
return fmt_repr(self)
@staticmethod
def from_json(s):
"""Given a JSON-encoded string s, build a message object.
"""
d = json.loads(s)
return MsgVelECEFCov.from_json_dict(d)
@staticmethod
def from_json_dict(d):
sbp = SBP.from_json_dict(d)
return MsgVelECEFCov(sbp, **d)
def from_binary(self, d):
"""Given a binary payload d, update the appropriate payload fields of
the message.
"""
p = MsgVelECEFCov._parser.parse(d)
for n in self.__class__.__slots__:
setattr(self, n, getattr(p, n))
def to_binary(self):
"""Produce a framed/packed SBP message.
"""
c = containerize(exclude_fields(self))
self.payload = MsgVelECEFCov._parser.build(c)
return self.pack()
def into_buffer(self, buf, offset):
"""Produce a framed/packed SBP message into the provided buffer and offset.
"""
self.payload = containerize(exclude_fields(self))
self.parser = MsgVelECEFCov._parser
self.stream_payload.reset(buf, offset)
return self.pack_into(buf, offset, self._build_payload)
def to_json_dict(self):
self.to_binary()
d = super( MsgVelECEFCov, self).to_json_dict()
j = walk_json_dict(exclude_fields(self))
d.update(j)
return d
SBP_MSG_VEL_NED = 0x020E
class MsgVelNED(SBP):
"""SBP class for message MSG_VEL_NED (0x020E).
You can have MSG_VEL_NED inherit its fields directly
from an inherited SBP object, or construct it inline using a dict
of its fields.
This message reports the velocity in local North East Down (NED)
coordinates. The NED coordinate system is defined as the local WGS84 tangent
plane centered at the current position. The full GPS time is given by the
preceding MSG_GPS_TIME with the matching time-of-week (tow).
Parameters
----------
sbp : SBP
SBP parent object to inherit from.
tow : int
GPS Time of Week
n : int
Velocity North coordinate
e : int
Velocity East coordinate
d : int
Velocity Down coordinate
h_accuracy : int
Horizontal velocity estimated standard deviation
v_accuracy : int
Vertical velocity estimated standard deviation
n_sats : int
Number of satellites used in solution
flags : int
Status flags
sender : int
Optional sender ID, defaults to SENDER_ID (see sbp/msg.py).
"""
_parser = construct.Struct(
'tow' / construct.Int32ul,
'n' / construct.Int32sl,
'e' / construct.Int32sl,
'd' / construct.Int32sl,
'h_accuracy' / construct.Int16ul,
'v_accuracy' / construct.Int16ul,
'n_sats' / construct.Int8ul,
'flags' / construct.Int8ul,)
__slots__ = [
'tow',
'n',
'e',
'd',
'h_accuracy',
'v_accuracy',
'n_sats',
'flags',
]
def __init__(self, sbp=None, **kwargs):
if sbp:
super( MsgVelNED,
self).__init__(sbp.msg_type, sbp.sender, sbp.length,
sbp.payload, sbp.crc)
self.from_binary(sbp.payload)
else:
super( MsgVelNED, self).__init__()
self.msg_type = SBP_MSG_VEL_NED
self.sender = kwargs.pop('sender', SENDER_ID)
self.tow = kwargs.pop('tow')
self.n = kwargs.pop('n')
self.e = kwargs.pop('e')
self.d = kwargs.pop('d')
self.h_accuracy = kwargs.pop('h_accuracy')
self.v_accuracy = kwargs.pop('v_accuracy')
self.n_sats = kwargs.pop('n_sats')
self.flags = kwargs.pop('flags')
def __repr__(self):
return fmt_repr(self)
@staticmethod
def from_json(s):
"""Given a JSON-encoded string s, build a message object.
"""
d = json.loads(s)
return MsgVelNED.from_json_dict(d)
@staticmethod
def from_json_dict(d):
sbp = SBP.from_json_dict(d)
return MsgVelNED(sbp, **d)
def from_binary(self, d):
"""Given a binary payload d, update the appropriate payload fields of
the message.
"""
p = MsgVelNED._parser.parse(d)
for n in self.__class__.__slots__:
setattr(self, n, getattr(p, n))
def to_binary(self):
"""Produce a framed/packed SBP message.
"""
c = containerize(exclude_fields(self))
self.payload = MsgVelNED._parser.build(c)
return self.pack()
def into_buffer(self, buf, offset):
"""Produce a framed/packed SBP message into the provided buffer and offset.
"""
self.payload = containerize(exclude_fields(self))
self.parser = MsgVelNED._parser
self.stream_payload.reset(buf, offset)
return self.pack_into(buf, offset, self._build_payload)
def to_json_dict(self):
self.to_binary()
d = super( MsgVelNED, self).to_json_dict()
j = walk_json_dict(exclude_fields(self))
d.update(j)
return d
SBP_MSG_VEL_NED_COV = 0x0212
class MsgVelNEDCov(SBP):
"""SBP class for message MSG_VEL_NED_COV (0x0212).
You can have MSG_VEL_NED_COV inherit its fields directly
from an inherited SBP object, or construct it inline using a dict
of its fields.
This message reports the velocity in local North East Down (NED)
coordinates. The NED coordinate system is defined as the local WGS84 tangent
plane centered at the current position. The full GPS time is given by the
preceding MSG_GPS_TIME with the matching time-of-week (tow). This message is
similar to the MSG_VEL_NED, but it includes the upper triangular portion of
the 3x3 covariance matrix.
Parameters
----------
sbp : SBP
SBP parent object to inherit from.
tow : int
GPS Time of Week
n : int
Velocity North coordinate
e : int
Velocity East coordinate
d : int
Velocity Down coordinate
cov_n_n : float
Estimated variance of northward measurement
cov_n_e : float
Covariance of northward and eastward measurement
cov_n_d : float
Covariance of northward and downward measurement
cov_e_e : float
Estimated variance of eastward measurement
cov_e_d : float
Covariance of eastward and downward measurement
cov_d_d : float
Estimated variance of downward measurement
n_sats : int
Number of satellites used in solution
flags : int
Status flags
sender : int
Optional sender ID, defaults to SENDER_ID (see sbp/msg.py).
"""
_parser = construct.Struct(
'tow' / construct.Int32ul,
'n' / construct.Int32sl,
'e' / construct.Int32sl,
'd' / construct.Int32sl,
'cov_n_n' / construct.Float32l,
'cov_n_e' / construct.Float32l,
'cov_n_d' / construct.Float32l,
'cov_e_e' / construct.Float32l,
'cov_e_d' / construct.Float32l,
'cov_d_d' / construct.Float32l,
'n_sats' / construct.Int8ul,
'flags' / construct.Int8ul,)
__slots__ = [
'tow',
'n',
'e',
'd',
'cov_n_n',
'cov_n_e',
'cov_n_d',
'cov_e_e',
'cov_e_d',
'cov_d_d',
'n_sats',
'flags',
]
def __init__(self, sbp=None, **kwargs):
if sbp:
super( MsgVelNEDCov,
self).__init__(sbp.msg_type, sbp.sender, sbp.length,
sbp.payload, sbp.crc)
self.from_binary(sbp.payload)
else:
super( MsgVelNEDCov, self).__init__()
self.msg_type = SBP_MSG_VEL_NED_COV
self.sender = kwargs.pop('sender', SENDER_ID)
self.tow = kwargs.pop('tow')
self.n = kwargs.pop('n')
self.e = kwargs.pop('e')
self.d = kwargs.pop('d')
self.cov_n_n = kwargs.pop('cov_n_n')
self.cov_n_e = kwargs.pop('cov_n_e')
self.cov_n_d = kwargs.pop('cov_n_d')
self.cov_e_e = kwargs.pop('cov_e_e')
self.cov_e_d = kwargs.pop('cov_e_d')
self.cov_d_d = kwargs.pop('cov_d_d')
self.n_sats = kwargs.pop('n_sats')
self.flags = kwargs.pop('flags')
def __repr__(self):
return fmt_repr(self)
@staticmethod
def from_json(s):
"""Given a JSON-encoded string s, build a message object.
"""
d = json.loads(s)
return MsgVelNEDCov.from_json_dict(d)
@staticmethod
def from_json_dict(d):
sbp = SBP.from_json_dict(d)
return MsgVelNEDCov(sbp, **d)
def from_binary(self, d):
"""Given a binary payload d, update the appropriate payload fields of
the message.
"""
p = MsgVelNEDCov._parser.parse(d)
for n in self.__class__.__slots__:
setattr(self, n, getattr(p, n))
def to_binary(self):
"""Produce a framed/packed SBP message.
"""
c = containerize(exclude_fields(self))
self.payload = MsgVelNEDCov._parser.build(c)
return self.pack()
def into_buffer(self, buf, offset):
"""Produce a framed/packed SBP message into the provided buffer and offset.
"""
self.payload = containerize(exclude_fields(self))
self.parser = MsgVelNEDCov._parser
self.stream_payload.reset(buf, offset)
return self.pack_into(buf, offset, self._build_payload)
def to_json_dict(self):
self.to_binary()
d = super( MsgVelNEDCov, self).to_json_dict()
j = walk_json_dict(exclude_fields(self))
d.update(j)
return d
SBP_MSG_POS_ECEF_GNSS = 0x0229
class MsgPosECEFGnss(SBP):
"""SBP class for message MSG_POS_ECEF_GNSS (0x0229).
You can have MSG_POS_ECEF_GNSS inherit its fields directly
from an inherited SBP object, or construct it inline using a dict
of its fields.
The position solution message reports absolute Earth Centered Earth Fixed
(ECEF) coordinates and the status (single point vs pseudo-absolute RTK) of
the position solution. If the rover receiver knows the surveyed position of
the base station and has an RTK solution, this reports a pseudo-absolute
position solution using the base station position and the rover's RTK
baseline vector. The full GPS time is given by the preceding MSG_GPS_TIME
with the matching time-of-week (tow).
Parameters
----------
sbp : SBP
SBP parent object to inherit from.
tow : int
GPS Time of Week
x : double
ECEF X coordinate
y : double
ECEF Y coordinate
z : double
ECEF Z coordinate
accuracy : int
Position estimated standard deviation
n_sats : int
Number of satellites used in solution
flags : int
Status flags
sender : int
Optional sender ID, defaults to SENDER_ID (see sbp/msg.py).
"""
_parser = construct.Struct(
'tow' / construct.Int32ul,
'x' / construct.Float64l,
'y' / construct.Float64l,
'z' / construct.Float64l,
'accuracy' / construct.Int16ul,
'n_sats' / construct.Int8ul,
'flags' / construct.Int8ul,)
__slots__ = [
'tow',
'x',
'y',
'z',
'accuracy',
'n_sats',
'flags',
]
def __init__(self, sbp=None, **kwargs):
if sbp:
super( MsgPosECEFGnss,
self).__init__(sbp.msg_type, sbp.sender, sbp.length,
sbp.payload, sbp.crc)
self.from_binary(sbp.payload)
else:
super( MsgPosECEFGnss, self).__init__()
self.msg_type = SBP_MSG_POS_ECEF_GNSS
self.sender = kwargs.pop('sender', SENDER_ID)
self.tow = kwargs.pop('tow')
self.x = kwargs.pop('x')
self.y = kwargs.pop('y')
self.z = kwargs.pop('z')
self.accuracy = kwargs.pop('accuracy')
self.n_sats = kwargs.pop('n_sats')
self.flags = kwargs.pop('flags')
def __repr__(self):
return fmt_repr(self)
@staticmethod
def from_json(s):
"""Given a JSON-encoded string s, build a message object.
"""
d = json.loads(s)
return MsgPosECEFGnss.from_json_dict(d)
@staticmethod
def from_json_dict(d):
sbp = SBP.from_json_dict(d)
return MsgPosECEFGnss(sbp, **d)
def from_binary(self, d):
"""Given a binary payload d, update the appropriate payload fields of
the message.
"""
p = MsgPosECEFGnss._parser.parse(d)
for n in self.__class__.__slots__:
setattr(self, n, getattr(p, n))
def to_binary(self):
"""Produce a framed/packed SBP message.
"""
c = containerize(exclude_fields(self))
self.payload = MsgPosECEFGnss._parser.build(c)
return self.pack()
def into_buffer(self, buf, offset):
"""Produce a framed/packed SBP message into the provided buffer and offset.
"""
self.payload = containerize(exclude_fields(self))
self.parser = MsgPosECEFGnss._parser
self.stream_payload.reset(buf, offset)
return self.pack_into(buf, offset, self._build_payload)
def to_json_dict(self):
self.to_binary()
d = super( MsgPosECEFGnss, self).to_json_dict()
j = walk_json_dict(exclude_fields(self))
d.update(j)
return d
SBP_MSG_POS_ECEF_COV_GNSS = 0x0234
class MsgPosECEFCovGnss(SBP):
"""SBP class for message MSG_POS_ECEF_COV_GNSS (0x0234).
You can have MSG_POS_ECEF_COV_GNSS inherit its fields directly
from an inherited SBP object, or construct it inline using a dict
of its fields.
The position solution message reports absolute Earth Centered Earth Fixed
(ECEF) coordinates and the status (single point vs pseudo-absolute RTK) of
the position solution. The message also reports the upper triangular portion
of the 3x3 covariance matrix. If the receiver knows the surveyed position of
the base station and has an RTK solution, this reports a pseudo-absolute
position solution using the base station position and the rover's RTK
baseline vector. The full GPS time is given by the preceding MSG_GPS_TIME
with the matching time-of-week (tow).
Parameters
----------
sbp : SBP
SBP parent object to inherit from.
tow : int
GPS Time of Week
x : double
ECEF X coordinate
y : double
ECEF Y coordinate
z : double
ECEF Z coordinate
cov_x_x : float
Estimated variance of x
cov_x_y : float
Estimated covariance of x and y
cov_x_z : float
Estimated covariance of x and z
cov_y_y : float
Estimated variance of y
cov_y_z : float
Estimated covariance of y and z
cov_z_z : float
Estimated variance of z
n_sats : int
Number of satellites used in solution
flags : int
Status flags
sender : int
Optional sender ID, defaults to SENDER_ID (see sbp/msg.py).
"""
_parser = construct.Struct(
'tow' / construct.Int32ul,
'x' / construct.Float64l,
'y' / construct.Float64l,
'z' / construct.Float64l,
'cov_x_x' / construct.Float32l,
'cov_x_y' / construct.Float32l,
'cov_x_z' / construct.Float32l,
'cov_y_y' / construct.Float32l,
'cov_y_z' / construct.Float32l,
'cov_z_z' / construct.Float32l,
'n_sats' / construct.Int8ul,
'flags' / construct.Int8ul,)
__slots__ = [
'tow',
'x',
'y',
'z',
'cov_x_x',
'cov_x_y',
'cov_x_z',
'cov_y_y',
'cov_y_z',
'cov_z_z',
'n_sats',
'flags',
]
def __init__(self, sbp=None, **kwargs):
if sbp:
super( MsgPosECEFCovGnss,
self).__init__(sbp.msg_type, sbp.sender, sbp.length,
sbp.payload, sbp.crc)
self.from_binary(sbp.payload)
else:
super( MsgPosECEFCovGnss, self).__init__()
self.msg_type = SBP_MSG_POS_ECEF_COV_GNSS
self.sender = kwargs.pop('sender', SENDER_ID)
self.tow = kwargs.pop('tow')
self.x = kwargs.pop('x')
self.y = kwargs.pop('y')
self.z = kwargs.pop('z')
self.cov_x_x = kwargs.pop('cov_x_x')
self.cov_x_y = kwargs.pop('cov_x_y')
self.cov_x_z = kwargs.pop('cov_x_z')
self.cov_y_y = kwargs.pop('cov_y_y')
self.cov_y_z = kwargs.pop('cov_y_z')
self.cov_z_z = kwargs.pop('cov_z_z')
self.n_sats = kwargs.pop('n_sats')
self.flags = kwargs.pop('flags')
def __repr__(self):
return fmt_repr(self)
@staticmethod
def from_json(s):
"""Given a JSON-encoded string s, build a message object.
"""
d = json.loads(s)
return MsgPosECEFCovGnss.from_json_dict(d)
@staticmethod
def from_json_dict(d):
sbp = SBP.from_json_dict(d)
return MsgPosECEFCovGnss(sbp, **d)
def from_binary(self, d):
"""Given a binary payload d, update the appropriate payload fields of
the message.
"""
p = MsgPosECEFCovGnss._parser.parse(d)
for n in self.__class__.__slots__:
setattr(self, n, getattr(p, n))
def to_binary(self):
"""Produce a framed/packed SBP message.
"""
c = containerize(exclude_fields(self))
self.payload = MsgPosECEFCovGnss._parser.build(c)
return self.pack()
def into_buffer(self, buf, offset):
"""Produce a framed/packed SBP message into the provided buffer and offset.
"""
self.payload = containerize(exclude_fields(self))
self.parser = MsgPosECEFCovGnss._parser
self.stream_payload.reset(buf, offset)
return self.pack_into(buf, offset, self._build_payload)
def to_json_dict(self):
self.to_binary()
d = super( MsgPosECEFCovGnss, self).to_json_dict()
j = walk_json_dict(exclude_fields(self))
d.update(j)
return d
SBP_MSG_POS_LLH_GNSS = 0x022A
class MsgPosLLHGnss(SBP):
"""SBP class for message MSG_POS_LLH_GNSS (0x022A).
You can have MSG_POS_LLH_GNSS inherit its fields directly
from an inherited SBP object, or construct it inline using a dict
of its fields.
This position solution message reports the absolute geodetic coordinates and
the status (single point vs pseudo-absolute RTK) of the position solution.
If the rover receiver knows the surveyed position of the base station and
has an RTK solution, this reports a pseudo-absolute position solution using
the base station position and the rover's RTK baseline vector. The full GPS
time is given by the preceding MSG_GPS_TIME with the matching time-of-week
(tow).
Parameters
----------
sbp : SBP
SBP parent object to inherit from.
tow : int
GPS Time of Week
lat : double
Latitude
lon : double
Longitude
height : double
Height above WGS84 ellipsoid
h_accuracy : int
Horizontal position estimated standard deviation
v_accuracy : int
Vertical position estimated standard deviation
n_sats : int
Number of satellites used in solution.
flags : int
Status flags
sender : int
Optional sender ID, defaults to SENDER_ID (see sbp/msg.py).
"""
_parser = construct.Struct(
'tow' / construct.Int32ul,
'lat' / construct.Float64l,
'lon' / construct.Float64l,
'height' / construct.Float64l,
'h_accuracy' / construct.Int16ul,
'v_accuracy' / construct.Int16ul,
'n_sats' / construct.Int8ul,
'flags' / construct.Int8ul,)
__slots__ = [
'tow',
'lat',
'lon',
'height',
'h_accuracy',
'v_accuracy',
'n_sats',
'flags',
]
def __init__(self, sbp=None, **kwargs):
if sbp:
super( MsgPosLLHGnss,
self).__init__(sbp.msg_type, sbp.sender, sbp.length,
sbp.payload, sbp.crc)
self.from_binary(sbp.payload)
else:
super( MsgPosLLHGnss, self).__init__()
self.msg_type = SBP_MSG_POS_LLH_GNSS
self.sender = kwargs.pop('sender', SENDER_ID)
self.tow = kwargs.pop('tow')
self.lat = kwargs.pop('lat')
self.lon = kwargs.pop('lon')
self.height = kwargs.pop('height')
self.h_accuracy = kwargs.pop('h_accuracy')
self.v_accuracy = kwargs.pop('v_accuracy')
self.n_sats = kwargs.pop('n_sats')
self.flags = kwargs.pop('flags')
def __repr__(self):
return fmt_repr(self)
@staticmethod
def from_json(s):
"""Given a JSON-encoded string s, build a message object.
"""
d = json.loads(s)
return MsgPosLLHGnss.from_json_dict(d)
@staticmethod
def from_json_dict(d):
sbp = SBP.from_json_dict(d)
return MsgPosLLHGnss(sbp, **d)
def from_binary(self, d):
"""Given a binary payload d, update the appropriate payload fields of
the message.
"""
p = MsgPosLLHGnss._parser.parse(d)
for n in self.__class__.__slots__:
setattr(self, n, getattr(p, n))
def to_binary(self):
"""Produce a framed/packed SBP message.
"""
c = containerize(exclude_fields(self))
self.payload = MsgPosLLHGnss._parser.build(c)
return self.pack()
def into_buffer(self, buf, offset):
"""Produce a framed/packed SBP message into the provided buffer and offset.
"""
self.payload = containerize(exclude_fields(self))
self.parser = MsgPosLLHGnss._parser
self.stream_payload.reset(buf, offset)
return self.pack_into(buf, offset, self._build_payload)
def to_json_dict(self):
self.to_binary()
d = super( MsgPosLLHGnss, self).to_json_dict()
j = walk_json_dict(exclude_fields(self))
d.update(j)
return d
SBP_MSG_POS_LLH_COV_GNSS = 0x0231
class MsgPosLLHCovGnss(SBP):
"""SBP class for message MSG_POS_LLH_COV_GNSS (0x0231).
You can have MSG_POS_LLH_COV_GNSS inherit its fields directly
from an inherited SBP object, or construct it inline using a dict
of its fields.
This position solution message reports the absolute geodetic coordinates and
the status (single point vs pseudo-absolute RTK) of the position solution as
well as the upper triangle of the 3x3 covariance matrix. The position
information and Fix Mode flags should follow the MSG_POS_LLH message. Since
the covariance matrix is computed in the local-level North, East, Down
frame, the covariance terms follow with that convention. Thus, covariances
are reported against the "downward" measurement and care should be taken
with the sign convention.
Parameters
----------
sbp : SBP
SBP parent object to inherit from.
tow : int
GPS Time of Week
lat : double
Latitude
lon : double
Longitude
height : double
Height above WGS84 ellipsoid
cov_n_n : float
Estimated variance of northing
cov_n_e : float
Covariance of northing and easting
cov_n_d : float
Covariance of northing and downward measurement
cov_e_e : float
Estimated variance of easting
cov_e_d : float
Covariance of easting and downward measurement
cov_d_d : float
Estimated variance of downward measurement
n_sats : int
Number of satellites used in solution.
flags : int
Status flags
sender : int
Optional sender ID, defaults to SENDER_ID (see sbp/msg.py).
"""
_parser = construct.Struct(
'tow' / construct.Int32ul,
'lat' / construct.Float64l,
'lon' / construct.Float64l,
'height' / construct.Float64l,
'cov_n_n' / construct.Float32l,
'cov_n_e' / construct.Float32l,
'cov_n_d' / construct.Float32l,
'cov_e_e' / construct.Float32l,
'cov_e_d' / construct.Float32l,
'cov_d_d' / construct.Float32l,
'n_sats' / construct.Int8ul,
'flags' / construct.Int8ul,)
__slots__ = [
'tow',
'lat',
'lon',
'height',
'cov_n_n',
'cov_n_e',
'cov_n_d',
'cov_e_e',
'cov_e_d',
'cov_d_d',
'n_sats',
'flags',
]
def __init__(self, sbp=None, **kwargs):
if sbp:
super( MsgPosLLHCovGnss,
self).__init__(sbp.msg_type, sbp.sender, sbp.length,
sbp.payload, sbp.crc)
self.from_binary(sbp.payload)
else:
super( MsgPosLLHCovGnss, self).__init__()
self.msg_type = SBP_MSG_POS_LLH_COV_GNSS
self.sender = kwargs.pop('sender', SENDER_ID)
self.tow = kwargs.pop('tow')
self.lat = kwargs.pop('lat')
self.lon = kwargs.pop('lon')
self.height = kwargs.pop('height')
self.cov_n_n = kwargs.pop('cov_n_n')
self.cov_n_e = kwargs.pop('cov_n_e')
self.cov_n_d = kwargs.pop('cov_n_d')
self.cov_e_e = kwargs.pop('cov_e_e')
self.cov_e_d = kwargs.pop('cov_e_d')
self.cov_d_d = kwargs.pop('cov_d_d')
self.n_sats = kwargs.pop('n_sats')
self.flags = kwargs.pop('flags')
def __repr__(self):
return fmt_repr(self)
@staticmethod
def from_json(s):
"""Given a JSON-encoded string s, build a message object.
"""
d = json.loads(s)
return MsgPosLLHCovGnss.from_json_dict(d)
@staticmethod
def from_json_dict(d):
sbp = SBP.from_json_dict(d)
return MsgPosLLHCovGnss(sbp, **d)
def from_binary(self, d):
"""Given a binary payload d, update the appropriate payload fields of
the message.
"""
p = MsgPosLLHCovGnss._parser.parse(d)
for n in self.__class__.__slots__:
setattr(self, n, getattr(p, n))
def to_binary(self):
"""Produce a framed/packed SBP message.
"""
c = containerize(exclude_fields(self))
self.payload = MsgPosLLHCovGnss._parser.build(c)
return self.pack()
def into_buffer(self, buf, offset):
"""Produce a framed/packed SBP message into the provided buffer and offset.
"""
self.payload = containerize(exclude_fields(self))
self.parser = MsgPosLLHCovGnss._parser
self.stream_payload.reset(buf, offset)
return self.pack_into(buf, offset, self._build_payload)
def to_json_dict(self):
self.to_binary()
d = super( MsgPosLLHCovGnss, self).to_json_dict()
j = walk_json_dict(exclude_fields(self))
d.update(j)
return d
SBP_MSG_VEL_ECEF_GNSS = 0x022D
class MsgVelECEFGnss(SBP):
"""SBP class for message MSG_VEL_ECEF_GNSS (0x022D).
You can have MSG_VEL_ECEF_GNSS inherit its fields directly
from an inherited SBP object, or construct it inline using a dict
of its fields.
This message reports the velocity in Earth Centered Earth Fixed (ECEF)
coordinates. The full GPS time is given by the preceding MSG_GPS_TIME with
the matching time-of-week (tow).
Parameters
----------
sbp : SBP
SBP parent object to inherit from.
tow : int
GPS Time of Week
x : int
Velocity ECEF X coordinate
y : int
Velocity ECEF Y coordinate
z : int
Velocity ECEF Z coordinate
accuracy : int
Velocity estimated standard deviation
n_sats : int
Number of satellites used in solution
flags : int
Status flags
sender : int
Optional sender ID, defaults to SENDER_ID (see sbp/msg.py).
"""
_parser = construct.Struct(
'tow' / construct.Int32ul,
'x' / construct.Int32sl,
'y' / construct.Int32sl,
'z' / construct.Int32sl,
'accuracy' / construct.Int16ul,
'n_sats' / construct.Int8ul,
'flags' / construct.Int8ul,)
__slots__ = [
'tow',
'x',
'y',
'z',
'accuracy',
'n_sats',
'flags',
]
def __init__(self, sbp=None, **kwargs):
if sbp:
super( MsgVelECEFGnss,
self).__init__(sbp.msg_type, sbp.sender, sbp.length,
sbp.payload, sbp.crc)
self.from_binary(sbp.payload)
else:
super( MsgVelECEFGnss, self).__init__()
self.msg_type = SBP_MSG_VEL_ECEF_GNSS
self.sender = kwargs.pop('sender', SENDER_ID)
self.tow = kwargs.pop('tow')
self.x = kwargs.pop('x')
self.y = kwargs.pop('y')
self.z = kwargs.pop('z')
self.accuracy = kwargs.pop('accuracy')
self.n_sats = kwargs.pop('n_sats')
self.flags = kwargs.pop('flags')
def __repr__(self):
return fmt_repr(self)
@staticmethod
def from_json(s):
"""Given a JSON-encoded string s, build a message object.
"""
d = json.loads(s)
return MsgVelECEFGnss.from_json_dict(d)
@staticmethod
def from_json_dict(d):
sbp = SBP.from_json_dict(d)
return MsgVelECEFGnss(sbp, **d)
def from_binary(self, d):
"""Given a binary payload d, update the appropriate payload fields of
the message.
"""
p = MsgVelECEFGnss._parser.parse(d)
for n in self.__class__.__slots__:
setattr(self, n, getattr(p, n))
def to_binary(self):
"""Produce a framed/packed SBP message.
"""
c = containerize(exclude_fields(self))
self.payload = MsgVelECEFGnss._parser.build(c)
return self.pack()
def into_buffer(self, buf, offset):
"""Produce a framed/packed SBP message into the provided buffer and offset.
"""
self.payload = containerize(exclude_fields(self))
self.parser = MsgVelECEFGnss._parser
self.stream_payload.reset(buf, offset)
return self.pack_into(buf, offset, self._build_payload)
def to_json_dict(self):
self.to_binary()
d = super( MsgVelECEFGnss, self).to_json_dict()
j = walk_json_dict(exclude_fields(self))
d.update(j)
return d
SBP_MSG_VEL_ECEF_COV_GNSS = 0x0235
class MsgVelECEFCovGnss(SBP):
"""SBP class for message MSG_VEL_ECEF_COV_GNSS (0x0235).
You can have MSG_VEL_ECEF_COV_GNSS inherit its fields directly
from an inherited SBP object, or construct it inline using a dict
of its fields.
This message reports the velocity in Earth Centered Earth Fixed (ECEF)
coordinates. The full GPS time is given by the preceding MSG_GPS_TIME with
the matching time-of-week (tow).
Parameters
----------
sbp : SBP
SBP parent object to inherit from.
tow : int
GPS Time of Week
x : int
Velocity ECEF X coordinate
y : int
Velocity ECEF Y coordinate
z : int
Velocity ECEF Z coordinate
cov_x_x : float
Estimated variance of x
cov_x_y : float
Estimated covariance of x and y
cov_x_z : float
Estimated covariance of x and z
cov_y_y : float
Estimated variance of y
cov_y_z : float
Estimated covariance of y and z
cov_z_z : float
Estimated variance of z
n_sats : int
Number of satellites used in solution
flags : int
Status flags
sender : int
Optional sender ID, defaults to SENDER_ID (see sbp/msg.py).
"""
_parser = construct.Struct(
'tow' / construct.Int32ul,
'x' / construct.Int32sl,
'y' / construct.Int32sl,
'z' / construct.Int32sl,
'cov_x_x' / construct.Float32l,
'cov_x_y' / construct.Float32l,
'cov_x_z' / construct.Float32l,
'cov_y_y' / construct.Float32l,
'cov_y_z' / construct.Float32l,
'cov_z_z' / construct.Float32l,
'n_sats' / construct.Int8ul,
'flags' / construct.Int8ul,)
__slots__ = [
'tow',
'x',
'y',
'z',
'cov_x_x',
'cov_x_y',
'cov_x_z',
'cov_y_y',
'cov_y_z',
'cov_z_z',
'n_sats',
'flags',
]
def __init__(self, sbp=None, **kwargs):
if sbp:
super( MsgVelECEFCovGnss,
self).__init__(sbp.msg_type, sbp.sender, sbp.length,
sbp.payload, sbp.crc)
self.from_binary(sbp.payload)
else:
super( MsgVelECEFCovGnss, self).__init__()
self.msg_type = SBP_MSG_VEL_ECEF_COV_GNSS
self.sender = kwargs.pop('sender', SENDER_ID)
self.tow = kwargs.pop('tow')
self.x = kwargs.pop('x')
self.y = kwargs.pop('y')
self.z = kwargs.pop('z')
self.cov_x_x = kwargs.pop('cov_x_x')
self.cov_x_y = kwargs.pop('cov_x_y')
self.cov_x_z = kwargs.pop('cov_x_z')
self.cov_y_y = kwargs.pop('cov_y_y')
self.cov_y_z = kwargs.pop('cov_y_z')
self.cov_z_z = kwargs.pop('cov_z_z')
self.n_sats = kwargs.pop('n_sats')
self.flags = kwargs.pop('flags')
def __repr__(self):
return fmt_repr(self)
@staticmethod
def from_json(s):
"""Given a JSON-encoded string s, build a message object.
"""
d = json.loads(s)
return MsgVelECEFCovGnss.from_json_dict(d)
@staticmethod
def from_json_dict(d):
sbp = SBP.from_json_dict(d)
return MsgVelECEFCovGnss(sbp, **d)
def from_binary(self, d):
"""Given a binary payload d, update the appropriate payload fields of
the message.
"""
p = MsgVelECEFCovGnss._parser.parse(d)
for n in self.__class__.__slots__:
setattr(self, n, getattr(p, n))
def to_binary(self):
"""Produce a framed/packed SBP message.
"""
c = containerize(exclude_fields(self))
self.payload = MsgVelECEFCovGnss._parser.build(c)
return self.pack()
def into_buffer(self, buf, offset):
"""Produce a framed/packed SBP message into the provided buffer and offset.
"""
self.payload = containerize(exclude_fields(self))
self.parser = MsgVelECEFCovGnss._parser
self.stream_payload.reset(buf, offset)
return self.pack_into(buf, offset, self._build_payload)
def to_json_dict(self):
self.to_binary()
d = super( MsgVelECEFCovGnss, self).to_json_dict()
j = walk_json_dict(exclude_fields(self))
d.update(j)
return d
SBP_MSG_VEL_NED_GNSS = 0x022E
class MsgVelNEDGnss(SBP):
"""SBP class for message MSG_VEL_NED_GNSS (0x022E).
You can have MSG_VEL_NED_GNSS inherit its fields directly
from an inherited SBP object, or construct it inline using a dict
of its fields.
This message reports the velocity in local North East Down (NED)
coordinates. The NED coordinate system is defined as the local WGS84 tangent
plane centered at the current position. The full GPS time is given by the
preceding MSG_GPS_TIME with the matching time-of-week (tow).
Parameters
----------
sbp : SBP
SBP parent object to inherit from.
tow : int
GPS Time of Week
n : int
Velocity North coordinate
e : int
Velocity East coordinate
d : int
Velocity Down coordinate
h_accuracy : int
Horizontal velocity estimated standard deviation
v_accuracy : int
Vertical velocity estimated standard deviation
n_sats : int
Number of satellites used in solution
flags : int
Status flags
sender : int
Optional sender ID, defaults to SENDER_ID (see sbp/msg.py).
"""
_parser = construct.Struct(
'tow' / construct.Int32ul,
'n' / construct.Int32sl,
'e' / construct.Int32sl,
'd' / construct.Int32sl,
'h_accuracy' / construct.Int16ul,
'v_accuracy' / construct.Int16ul,
'n_sats' / construct.Int8ul,
'flags' / construct.Int8ul,)
__slots__ = [
'tow',
'n',
'e',
'd',
'h_accuracy',
'v_accuracy',
'n_sats',
'flags',
]
def __init__(self, sbp=None, **kwargs):
if sbp:
super( MsgVelNEDGnss,
self).__init__(sbp.msg_type, sbp.sender, sbp.length,
sbp.payload, sbp.crc)
self.from_binary(sbp.payload)
else:
super( MsgVelNEDGnss, self).__init__()
self.msg_type = SBP_MSG_VEL_NED_GNSS
self.sender = kwargs.pop('sender', SENDER_ID)
self.tow = kwargs.pop('tow')
self.n = kwargs.pop('n')
self.e = kwargs.pop('e')
self.d = kwargs.pop('d')
self.h_accuracy = kwargs.pop('h_accuracy')
self.v_accuracy = kwargs.pop('v_accuracy')
self.n_sats = kwargs.pop('n_sats')
self.flags = kwargs.pop('flags')
def __repr__(self):
return fmt_repr(self)
@staticmethod
def from_json(s):
"""Given a JSON-encoded string s, build a message object.
"""
d = json.loads(s)
return MsgVelNEDGnss.from_json_dict(d)
@staticmethod
def from_json_dict(d):
sbp = SBP.from_json_dict(d)
return MsgVelNEDGnss(sbp, **d)
def from_binary(self, d):
"""Given a binary payload d, update the appropriate payload fields of
the message.
"""
p = MsgVelNEDGnss._parser.parse(d)
for n in self.__class__.__slots__:
setattr(self, n, getattr(p, n))
def to_binary(self):
"""Produce a framed/packed SBP message.
"""
c = containerize(exclude_fields(self))
self.payload = MsgVelNEDGnss._parser.build(c)
return self.pack()
def into_buffer(self, buf, offset):
"""Produce a framed/packed SBP message into the provided buffer and offset.
"""
self.payload = containerize(exclude_fields(self))
self.parser = MsgVelNEDGnss._parser
self.stream_payload.reset(buf, offset)
return self.pack_into(buf, offset, self._build_payload)
def to_json_dict(self):
self.to_binary()
d = super( MsgVelNEDGnss, self).to_json_dict()
j = walk_json_dict(exclude_fields(self))
d.update(j)
return d
SBP_MSG_VEL_NED_COV_GNSS = 0x0232
class MsgVelNEDCovGnss(SBP):
"""SBP class for message MSG_VEL_NED_COV_GNSS (0x0232).
You can have MSG_VEL_NED_COV_GNSS inherit its fields directly
from an inherited SBP object, or construct it inline using a dict
of its fields.
This message reports the velocity in local North East Down (NED)
coordinates. The NED coordinate system is defined as the local WGS84 tangent
plane centered at the current position. The full GPS time is given by the
preceding MSG_GPS_TIME with the matching time-of-week (tow). This message is
similar to the MSG_VEL_NED, but it includes the upper triangular portion of
the 3x3 covariance matrix.
Parameters
----------
sbp : SBP
SBP parent object to inherit from.
tow : int
GPS Time of Week
n : int
Velocity North coordinate
e : int
Velocity East coordinate
d : int
Velocity Down coordinate
cov_n_n : float
Estimated variance of northward measurement
cov_n_e : float
Covariance of northward and eastward measurement
cov_n_d : float
Covariance of northward and downward measurement
cov_e_e : float
Estimated variance of eastward measurement
cov_e_d : float
Covariance of eastward and downward measurement
cov_d_d : float
Estimated variance of downward measurement
n_sats : int
Number of satellites used in solution
flags : int
Status flags
sender : int
Optional sender ID, defaults to SENDER_ID (see sbp/msg.py).
"""
_parser = construct.Struct(
'tow' / construct.Int32ul,
'n' / construct.Int32sl,
'e' / construct.Int32sl,
'd' / construct.Int32sl,
'cov_n_n' / construct.Float32l,
'cov_n_e' / construct.Float32l,
'cov_n_d' / construct.Float32l,
'cov_e_e' / construct.Float32l,
'cov_e_d' / construct.Float32l,
'cov_d_d' / construct.Float32l,
'n_sats' / construct.Int8ul,
'flags' / construct.Int8ul,)
__slots__ = [
'tow',
'n',
'e',
'd',
'cov_n_n',
'cov_n_e',
'cov_n_d',
'cov_e_e',
'cov_e_d',
'cov_d_d',
'n_sats',
'flags',
]
def __init__(self, sbp=None, **kwargs):
if sbp:
super( MsgVelNEDCovGnss,
self).__init__(sbp.msg_type, sbp.sender, sbp.length,
sbp.payload, sbp.crc)
self.from_binary(sbp.payload)
else:
super( MsgVelNEDCovGnss, self).__init__()
self.msg_type = SBP_MSG_VEL_NED_COV_GNSS
self.sender = kwargs.pop('sender', SENDER_ID)
self.tow = kwargs.pop('tow')
self.n = kwargs.pop('n')
self.e = kwargs.pop('e')
self.d = kwargs.pop('d')
self.cov_n_n = kwargs.pop('cov_n_n')
self.cov_n_e = kwargs.pop('cov_n_e')
self.cov_n_d = kwargs.pop('cov_n_d')
self.cov_e_e = kwargs.pop('cov_e_e')
self.cov_e_d = kwargs.pop('cov_e_d')
self.cov_d_d = kwargs.pop('cov_d_d')
self.n_sats = kwargs.pop('n_sats')
self.flags = kwargs.pop('flags')
def __repr__(self):
return fmt_repr(self)
@staticmethod
def from_json(s):
"""Given a JSON-encoded string s, build a message object.
"""
d = json.loads(s)
return MsgVelNEDCovGnss.from_json_dict(d)
@staticmethod
def from_json_dict(d):
sbp = SBP.from_json_dict(d)
return MsgVelNEDCovGnss(sbp, **d)
def from_binary(self, d):
"""Given a binary payload d, update the appropriate payload fields of
the message.
"""
p = MsgVelNEDCovGnss._parser.parse(d)
for n in self.__class__.__slots__:
setattr(self, n, getattr(p, n))
def to_binary(self):
"""Produce a framed/packed SBP message.
"""
c = containerize(exclude_fields(self))
self.payload = MsgVelNEDCovGnss._parser.build(c)
return self.pack()
def into_buffer(self, buf, offset):
"""Produce a framed/packed SBP message into the provided buffer and offset.
"""
self.payload = containerize(exclude_fields(self))
self.parser = MsgVelNEDCovGnss._parser
self.stream_payload.reset(buf, offset)
return self.pack_into(buf, offset, self._build_payload)
def to_json_dict(self):
self.to_binary()
d = super( MsgVelNEDCovGnss, self).to_json_dict()
j = walk_json_dict(exclude_fields(self))
d.update(j)
return d
SBP_MSG_VEL_BODY = 0x0213
class MsgVelBody(SBP):
"""SBP class for message MSG_VEL_BODY (0x0213).
You can have MSG_VEL_BODY inherit its fields directly
from an inherited SBP object, or construct it inline using a dict
of its fields.
This message reports the velocity in the Vehicle Body Frame. By convention,
the x-axis should point out the nose of the vehicle and represent the
forward direction, while as the y-axis should point out the right hand side
of the vehicle. Since this is a right handed system, z should point out the
bottom of the vehicle. The orientation and origin of the Vehicle Body Frame
are specified via the device settings. The full GPS time is given by the
preceding MSG_GPS_TIME with the matching time-of-week (tow). This message is
only produced by inertial versions of Swift products and is not available
from Piksi Multi or Duro.
Parameters
----------
sbp : SBP
SBP parent object to inherit from.
tow : int
GPS Time of Week
x : int
Velocity in x direction
y : int
Velocity in y direction
z : int
Velocity in z direction
cov_x_x : float
Estimated variance of x
cov_x_y : float
Covariance of x and y
cov_x_z : float
Covariance of x and z
cov_y_y : float
Estimated variance of y
cov_y_z : float
Covariance of y and z
cov_z_z : float
Estimated variance of z
n_sats : int
Number of satellites used in solution
flags : int
Status flags
sender : int
Optional sender ID, defaults to SENDER_ID (see sbp/msg.py).
"""
_parser = construct.Struct(
'tow' / construct.Int32ul,
'x' / construct.Int32sl,
'y' / construct.Int32sl,
'z' / construct.Int32sl,
'cov_x_x' / construct.Float32l,
'cov_x_y' / construct.Float32l,
'cov_x_z' / construct.Float32l,
'cov_y_y' / construct.Float32l,
'cov_y_z' / construct.Float32l,
'cov_z_z' / construct.Float32l,
'n_sats' / construct.Int8ul,
'flags' / construct.Int8ul,)
__slots__ = [
'tow',
'x',
'y',
'z',
'cov_x_x',
'cov_x_y',
'cov_x_z',
'cov_y_y',
'cov_y_z',
'cov_z_z',
'n_sats',
'flags',
]
def __init__(self, sbp=None, **kwargs):
if sbp:
super( MsgVelBody,
self).__init__(sbp.msg_type, sbp.sender, sbp.length,
sbp.payload, sbp.crc)
self.from_binary(sbp.payload)
else:
super( MsgVelBody, self).__init__()
self.msg_type = SBP_MSG_VEL_BODY
self.sender = kwargs.pop('sender', SENDER_ID)
self.tow = kwargs.pop('tow')
self.x = kwargs.pop('x')
self.y = kwargs.pop('y')
self.z = kwargs.pop('z')
self.cov_x_x = kwargs.pop('cov_x_x')
self.cov_x_y = kwargs.pop('cov_x_y')
self.cov_x_z = kwargs.pop('cov_x_z')
self.cov_y_y = kwargs.pop('cov_y_y')
self.cov_y_z = kwargs.pop('cov_y_z')
self.cov_z_z = kwargs.pop('cov_z_z')
self.n_sats = kwargs.pop('n_sats')
self.flags = kwargs.pop('flags')
def __repr__(self):
return fmt_repr(self)
@staticmethod
def from_json(s):
"""Given a JSON-encoded string s, build a message object.
"""
d = json.loads(s)
return MsgVelBody.from_json_dict(d)
@staticmethod
def from_json_dict(d):
sbp = SBP.from_json_dict(d)
return MsgVelBody(sbp, **d)
def from_binary(self, d):
"""Given a binary payload d, update the appropriate payload fields of
the message.
"""
p = MsgVelBody._parser.parse(d)
for n in self.__class__.__slots__:
setattr(self, n, getattr(p, n))
def to_binary(self):
"""Produce a framed/packed SBP message.
"""
c = containerize(exclude_fields(self))
self.payload = MsgVelBody._parser.build(c)
return self.pack()
def into_buffer(self, buf, offset):
"""Produce a framed/packed SBP message into the provided buffer and offset.
"""
self.payload = containerize(exclude_fields(self))
self.parser = MsgVelBody._parser
self.stream_payload.reset(buf, offset)
return self.pack_into(buf, offset, self._build_payload)
def to_json_dict(self):
self.to_binary()
d = super( MsgVelBody, self).to_json_dict()
j = walk_json_dict(exclude_fields(self))
d.update(j)
return d
SBP_MSG_AGE_CORRECTIONS = 0x0210
class MsgAgeCorrections(SBP):
"""SBP class for message MSG_AGE_CORRECTIONS (0x0210).
You can have MSG_AGE_CORRECTIONS inherit its fields directly
from an inherited SBP object, or construct it inline using a dict
of its fields.
This message reports the Age of the corrections used for the current
Differential solution.
Parameters
----------
sbp : SBP
SBP parent object to inherit from.
tow : int
GPS Time of Week
age : int
Age of the corrections (0xFFFF indicates invalid)
sender : int
Optional sender ID, defaults to SENDER_ID (see sbp/msg.py).
"""
_parser = construct.Struct(
'tow' / construct.Int32ul,
'age' / construct.Int16ul,)
__slots__ = [
'tow',
'age',
]
def __init__(self, sbp=None, **kwargs):
if sbp:
super( MsgAgeCorrections,
self).__init__(sbp.msg_type, sbp.sender, sbp.length,
sbp.payload, sbp.crc)
self.from_binary(sbp.payload)
else:
super( MsgAgeCorrections, self).__init__()
self.msg_type = SBP_MSG_AGE_CORRECTIONS
self.sender = kwargs.pop('sender', SENDER_ID)
self.tow = kwargs.pop('tow')
self.age = kwargs.pop('age')
def __repr__(self):
return fmt_repr(self)
@staticmethod
def from_json(s):
"""Given a JSON-encoded string s, build a message object.
"""
d = json.loads(s)
return MsgAgeCorrections.from_json_dict(d)
@staticmethod
def from_json_dict(d):
sbp = SBP.from_json_dict(d)
return MsgAgeCorrections(sbp, **d)
def from_binary(self, d):
"""Given a binary payload d, update the appropriate payload fields of
the message.
"""
p = MsgAgeCorrections._parser.parse(d)
for n in self.__class__.__slots__:
setattr(self, n, getattr(p, n))
def to_binary(self):
"""Produce a framed/packed SBP message.
"""
c = containerize(exclude_fields(self))
self.payload = MsgAgeCorrections._parser.build(c)
return self.pack()
def into_buffer(self, buf, offset):
"""Produce a framed/packed SBP message into the provided buffer and offset.
"""
self.payload = containerize(exclude_fields(self))
self.parser = MsgAgeCorrections._parser
self.stream_payload.reset(buf, offset)
return self.pack_into(buf, offset, self._build_payload)
def to_json_dict(self):
self.to_binary()
d = super( MsgAgeCorrections, self).to_json_dict()
j = walk_json_dict(exclude_fields(self))
d.update(j)
return d
SBP_MSG_GPS_TIME_DEP_A = 0x0100
class MsgGPSTimeDepA(SBP):
"""SBP class for message MSG_GPS_TIME_DEP_A (0x0100).
You can have MSG_GPS_TIME_DEP_A inherit its fields directly
from an inherited SBP object, or construct it inline using a dict
of its fields.
This message reports the GPS time, representing the time since the GPS epoch
began on midnight January 6, 1980 UTC. GPS time counts the weeks and seconds
of the week. The weeks begin at the Saturday/Sunday transition. GPS week 0
began at the beginning of the GPS time scale.
Within each week number, the GPS time of the week is between between 0 and
604800 seconds (=60*60*24*7). Note that GPS time does not accumulate leap
seconds, and as of now, has a small offset from UTC. In a message stream,
this message precedes a set of other navigation messages referenced to the
same time (but lacking the ns field) and indicates a more precise time of
these messages.
Parameters
----------
sbp : SBP
SBP parent object to inherit from.
wn : int
GPS week number
tow : int
GPS time of week rounded to the nearest millisecond
ns_residual : int
Nanosecond residual of millisecond-rounded TOW (ranges from -500000 to
500000)
flags : int
Status flags (reserved)
sender : int
Optional sender ID, defaults to SENDER_ID (see sbp/msg.py).
"""
_parser = construct.Struct(
'wn' / construct.Int16ul,
'tow' / construct.Int32ul,
'ns_residual' / construct.Int32sl,
'flags' / construct.Int8ul,)
__slots__ = [
'wn',
'tow',
'ns_residual',
'flags',
]
def __init__(self, sbp=None, **kwargs):
if sbp:
super( MsgGPSTimeDepA,
self).__init__(sbp.msg_type, sbp.sender, sbp.length,
sbp.payload, sbp.crc)
self.from_binary(sbp.payload)
else:
super( MsgGPSTimeDepA, self).__init__()
self.msg_type = SBP_MSG_GPS_TIME_DEP_A
self.sender = kwargs.pop('sender', SENDER_ID)
self.wn = kwargs.pop('wn')
self.tow = kwargs.pop('tow')
self.ns_residual = kwargs.pop('ns_residual')
self.flags = kwargs.pop('flags')
def __repr__(self):
return fmt_repr(self)
@staticmethod
def from_json(s):
"""Given a JSON-encoded string s, build a message object.
"""
d = json.loads(s)
return MsgGPSTimeDepA.from_json_dict(d)
@staticmethod
def from_json_dict(d):
sbp = SBP.from_json_dict(d)
return MsgGPSTimeDepA(sbp, **d)
def from_binary(self, d):
"""Given a binary payload d, update the appropriate payload fields of
the message.
"""
p = MsgGPSTimeDepA._parser.parse(d)
for n in self.__class__.__slots__:
setattr(self, n, getattr(p, n))
def to_binary(self):
"""Produce a framed/packed SBP message.
"""
c = containerize(exclude_fields(self))
self.payload = MsgGPSTimeDepA._parser.build(c)
return self.pack()
def into_buffer(self, buf, offset):
"""Produce a framed/packed SBP message into the provided buffer and offset.
"""
self.payload = containerize(exclude_fields(self))
self.parser = MsgGPSTimeDepA._parser
self.stream_payload.reset(buf, offset)
return self.pack_into(buf, offset, self._build_payload)
def to_json_dict(self):
self.to_binary()
d = super( MsgGPSTimeDepA, self).to_json_dict()
j = walk_json_dict(exclude_fields(self))
d.update(j)
return d
SBP_MSG_DOPS_DEP_A = 0x0206
class MsgDopsDepA(SBP):
"""SBP class for message MSG_DOPS_DEP_A (0x0206).
You can have MSG_DOPS_DEP_A inherit its fields directly
from an inherited SBP object, or construct it inline using a dict
of its fields.
This dilution of precision (DOP) message describes the effect of navigation
satellite geometry on positional measurement precision.
Parameters
----------
sbp : SBP
SBP parent object to inherit from.
tow : int
GPS Time of Week
gdop : int
Geometric Dilution of Precision
pdop : int
Position Dilution of Precision
tdop : int
Time Dilution of Precision
hdop : int
Horizontal Dilution of Precision
vdop : int
Vertical Dilution of Precision
sender : int
Optional sender ID, defaults to SENDER_ID (see sbp/msg.py).
"""
_parser = construct.Struct(
'tow' / construct.Int32ul,
'gdop' / construct.Int16ul,
'pdop' / construct.Int16ul,
'tdop' / construct.Int16ul,
'hdop' / construct.Int16ul,
'vdop' / construct.Int16ul,)
__slots__ = [
'tow',
'gdop',
'pdop',
'tdop',
'hdop',
'vdop',
]
def __init__(self, sbp=None, **kwargs):
if sbp:
super( MsgDopsDepA,
self).__init__(sbp.msg_type, sbp.sender, sbp.length,
sbp.payload, sbp.crc)
self.from_binary(sbp.payload)
else:
super( MsgDopsDepA, self).__init__()
self.msg_type = SBP_MSG_DOPS_DEP_A
self.sender = kwargs.pop('sender', SENDER_ID)
self.tow = kwargs.pop('tow')
self.gdop = kwargs.pop('gdop')
self.pdop = kwargs.pop('pdop')
self.tdop = kwargs.pop('tdop')
self.hdop = kwargs.pop('hdop')
self.vdop = kwargs.pop('vdop')
def __repr__(self):
return fmt_repr(self)
@staticmethod
def from_json(s):
"""Given a JSON-encoded string s, build a message object.
"""
d = json.loads(s)
return MsgDopsDepA.from_json_dict(d)
@staticmethod
def from_json_dict(d):
sbp = SBP.from_json_dict(d)
return MsgDopsDepA(sbp, **d)
def from_binary(self, d):
"""Given a binary payload d, update the appropriate payload fields of
the message.
"""
p = MsgDopsDepA._parser.parse(d)
for n in self.__class__.__slots__:
setattr(self, n, getattr(p, n))
def to_binary(self):
"""Produce a framed/packed SBP message.
"""
c = containerize(exclude_fields(self))
self.payload = MsgDopsDepA._parser.build(c)
return self.pack()
def into_buffer(self, buf, offset):
"""Produce a framed/packed SBP message into the provided buffer and offset.
"""
self.payload = containerize(exclude_fields(self))
self.parser = MsgDopsDepA._parser
self.stream_payload.reset(buf, offset)
return self.pack_into(buf, offset, self._build_payload)
def to_json_dict(self):
self.to_binary()
d = super( MsgDopsDepA, self).to_json_dict()
j = walk_json_dict(exclude_fields(self))
d.update(j)
return d
SBP_MSG_POS_ECEF_DEP_A = 0x0200
class MsgPosECEFDepA(SBP):
"""SBP class for message MSG_POS_ECEF_DEP_A (0x0200).
You can have MSG_POS_ECEF_DEP_A inherit its fields directly
from an inherited SBP object, or construct it inline using a dict
of its fields.
The position solution message reports absolute Earth Centered Earth Fixed
(ECEF) coordinates and the status (single point vs pseudo-absolute RTK) of
the position solution. If the rover receiver knows the surveyed position of
the base station and has an RTK solution, this reports a pseudo-absolute
position solution using the base station position and the rover's RTK
baseline vector. The full GPS time is given by the preceding MSG_GPS_TIME
with the matching time-of-week (tow).
Parameters
----------
sbp : SBP
SBP parent object to inherit from.
tow : int
GPS Time of Week
x : double
ECEF X coordinate
y : double
ECEF Y coordinate
z : double
ECEF Z coordinate
accuracy : int
Position accuracy estimate (not implemented). Defaults to 0.
n_sats : int
Number of satellites used in solution
flags : int
Status flags
sender : int
Optional sender ID, defaults to SENDER_ID (see sbp/msg.py).
"""
_parser = construct.Struct(
'tow' / construct.Int32ul,
'x' / construct.Float64l,
'y' / construct.Float64l,
'z' / construct.Float64l,
'accuracy' / construct.Int16ul,
'n_sats' / construct.Int8ul,
'flags' / construct.Int8ul,)
__slots__ = [
'tow',
'x',
'y',
'z',
'accuracy',
'n_sats',
'flags',
]
def __init__(self, sbp=None, **kwargs):
if sbp:
super( MsgPosECEFDepA,
self).__init__(sbp.msg_type, sbp.sender, sbp.length,
sbp.payload, sbp.crc)
self.from_binary(sbp.payload)
else:
super( MsgPosECEFDepA, self).__init__()
self.msg_type = SBP_MSG_POS_ECEF_DEP_A
self.sender = kwargs.pop('sender', SENDER_ID)
self.tow = kwargs.pop('tow')
self.x = kwargs.pop('x')
self.y = kwargs.pop('y')
self.z = kwargs.pop('z')
self.accuracy = kwargs.pop('accuracy')
self.n_sats = kwargs.pop('n_sats')
self.flags = kwargs.pop('flags')
def __repr__(self):
return fmt_repr(self)
@staticmethod
def from_json(s):
"""Given a JSON-encoded string s, build a message object.
"""
d = json.loads(s)
return MsgPosECEFDepA.from_json_dict(d)
@staticmethod
def from_json_dict(d):
sbp = SBP.from_json_dict(d)
return MsgPosECEFDepA(sbp, **d)
def from_binary(self, d):
"""Given a binary payload d, update the appropriate payload fields of
the message.
"""
p = MsgPosECEFDepA._parser.parse(d)
for n in self.__class__.__slots__:
setattr(self, n, getattr(p, n))
def to_binary(self):
"""Produce a framed/packed SBP message.
"""
c = containerize(exclude_fields(self))
self.payload = MsgPosECEFDepA._parser.build(c)
return self.pack()
def into_buffer(self, buf, offset):
"""Produce a framed/packed SBP message into the provided buffer and offset.
"""
self.payload = containerize(exclude_fields(self))
self.parser = MsgPosECEFDepA._parser
self.stream_payload.reset(buf, offset)
return self.pack_into(buf, offset, self._build_payload)
def to_json_dict(self):
self.to_binary()
d = super( MsgPosECEFDepA, self).to_json_dict()
j = walk_json_dict(exclude_fields(self))
d.update(j)
return d
SBP_MSG_POS_LLH_DEP_A = 0x0201
class MsgPosLLHDepA(SBP):
"""SBP class for message MSG_POS_LLH_DEP_A (0x0201).
You can have MSG_POS_LLH_DEP_A inherit its fields directly
from an inherited SBP object, or construct it inline using a dict
of its fields.
This position solution message reports the absolute geodetic coordinates and
the status (single point vs pseudo-absolute RTK) of the position solution.
If the rover receiver knows the surveyed position of the base station and
has an RTK solution, this reports a pseudo-absolute position solution using
the base station position and the rover's RTK baseline vector. The full GPS
time is given by the preceding MSG_GPS_TIME with the matching time-of-week
(tow).
Parameters
----------
sbp : SBP
SBP parent object to inherit from.
tow : int
GPS Time of Week
lat : double
Latitude
lon : double
Longitude
height : double
Height
h_accuracy : int
Horizontal position accuracy estimate (not implemented). Defaults to 0.
v_accuracy : int
Vertical position accuracy estimate (not implemented). Defaults to 0.
n_sats : int
Number of satellites used in solution.
flags : int
Status flags
sender : int
Optional sender ID, defaults to SENDER_ID (see sbp/msg.py).
"""
_parser = construct.Struct(
'tow' / construct.Int32ul,
'lat' / construct.Float64l,
'lon' / construct.Float64l,
'height' / construct.Float64l,
'h_accuracy' / construct.Int16ul,
'v_accuracy' / construct.Int16ul,
'n_sats' / construct.Int8ul,
'flags' / construct.Int8ul,)
__slots__ = [
'tow',
'lat',
'lon',
'height',
'h_accuracy',
'v_accuracy',
'n_sats',
'flags',
]
def __init__(self, sbp=None, **kwargs):
if sbp:
super( MsgPosLLHDepA,
self).__init__(sbp.msg_type, sbp.sender, sbp.length,
sbp.payload, sbp.crc)
self.from_binary(sbp.payload)
else:
super( MsgPosLLHDepA, self).__init__()
self.msg_type = SBP_MSG_POS_LLH_DEP_A
self.sender = kwargs.pop('sender', SENDER_ID)
self.tow = kwargs.pop('tow')
self.lat = kwargs.pop('lat')
self.lon = kwargs.pop('lon')
self.height = kwargs.pop('height')
self.h_accuracy = kwargs.pop('h_accuracy')
self.v_accuracy = kwargs.pop('v_accuracy')
self.n_sats = kwargs.pop('n_sats')
self.flags = kwargs.pop('flags')
def __repr__(self):
return fmt_repr(self)
@staticmethod
def from_json(s):
"""Given a JSON-encoded string s, build a message object.
"""
d = json.loads(s)
return MsgPosLLHDepA.from_json_dict(d)
@staticmethod
def from_json_dict(d):
sbp = SBP.from_json_dict(d)
return MsgPosLLHDepA(sbp, **d)
def from_binary(self, d):
"""Given a binary payload d, update the appropriate payload fields of
the message.
"""
p = MsgPosLLHDepA._parser.parse(d)
for n in self.__class__.__slots__:
setattr(self, n, getattr(p, n))
def to_binary(self):
"""Produce a framed/packed SBP message.
"""
c = containerize(exclude_fields(self))
self.payload = MsgPosLLHDepA._parser.build(c)
return self.pack()
def into_buffer(self, buf, offset):
"""Produce a framed/packed SBP message into the provided buffer and offset.
"""
self.payload = containerize(exclude_fields(self))
self.parser = MsgPosLLHDepA._parser
self.stream_payload.reset(buf, offset)
return self.pack_into(buf, offset, self._build_payload)
def to_json_dict(self):
self.to_binary()
d = super( MsgPosLLHDepA, self).to_json_dict()
j = walk_json_dict(exclude_fields(self))
d.update(j)
return d
SBP_MSG_BASELINE_ECEF_DEP_A = 0x0202
class MsgBaselineECEFDepA(SBP):
"""SBP class for message MSG_BASELINE_ECEF_DEP_A (0x0202).
You can have MSG_BASELINE_ECEF_DEP_A inherit its fields directly
from an inherited SBP object, or construct it inline using a dict
of its fields.
This message reports the baseline solution in Earth Centered Earth Fixed
(ECEF) coordinates. This baseline is the relative vector distance from the
base station to the rover receiver. The full GPS time is given by the
preceding MSG_GPS_TIME with the matching time-of-week (tow).
Parameters
----------
sbp : SBP
SBP parent object to inherit from.
tow : int
GPS Time of Week
x : int
Baseline ECEF X coordinate
y : int
Baseline ECEF Y coordinate
z : int
Baseline ECEF Z coordinate
accuracy : int
Position accuracy estimate
n_sats : int
Number of satellites used in solution
flags : int
Status flags
sender : int
Optional sender ID, defaults to SENDER_ID (see sbp/msg.py).
"""
_parser = construct.Struct(
'tow' / construct.Int32ul,
'x' / construct.Int32sl,
'y' / construct.Int32sl,
'z' / construct.Int32sl,
'accuracy' / construct.Int16ul,
'n_sats' / construct.Int8ul,
'flags' / construct.Int8ul,)
__slots__ = [
'tow',
'x',
'y',
'z',
'accuracy',
'n_sats',
'flags',
]
def __init__(self, sbp=None, **kwargs):
if sbp:
super( MsgBaselineECEFDepA,
self).__init__(sbp.msg_type, sbp.sender, sbp.length,
sbp.payload, sbp.crc)
self.from_binary(sbp.payload)
else:
super( MsgBaselineECEFDepA, self).__init__()
self.msg_type = SBP_MSG_BASELINE_ECEF_DEP_A
self.sender = kwargs.pop('sender', SENDER_ID)
self.tow = kwargs.pop('tow')
self.x = kwargs.pop('x')
self.y = kwargs.pop('y')
self.z = kwargs.pop('z')
self.accuracy = kwargs.pop('accuracy')
self.n_sats = kwargs.pop('n_sats')
self.flags = kwargs.pop('flags')
def __repr__(self):
return fmt_repr(self)
@staticmethod
def from_json(s):
"""Given a JSON-encoded string s, build a message object.
"""
d = json.loads(s)
return MsgBaselineECEFDepA.from_json_dict(d)
@staticmethod
def from_json_dict(d):
sbp = SBP.from_json_dict(d)
return MsgBaselineECEFDepA(sbp, **d)
def from_binary(self, d):
"""Given a binary payload d, update the appropriate payload fields of
the message.
"""
p = MsgBaselineECEFDepA._parser.parse(d)
for n in self.__class__.__slots__:
setattr(self, n, getattr(p, n))
def to_binary(self):
"""Produce a framed/packed SBP message.
"""
c = containerize(exclude_fields(self))
self.payload = MsgBaselineECEFDepA._parser.build(c)
return self.pack()
def into_buffer(self, buf, offset):
"""Produce a framed/packed SBP message into the provided buffer and offset.
"""
self.payload = containerize(exclude_fields(self))
self.parser = MsgBaselineECEFDepA._parser
self.stream_payload.reset(buf, offset)
return self.pack_into(buf, offset, self._build_payload)
def to_json_dict(self):
self.to_binary()
d = super( MsgBaselineECEFDepA, self).to_json_dict()
j = walk_json_dict(exclude_fields(self))
d.update(j)
return d
SBP_MSG_BASELINE_NED_DEP_A = 0x0203
class MsgBaselineNEDDepA(SBP):
"""SBP class for message MSG_BASELINE_NED_DEP_A (0x0203).
You can have MSG_BASELINE_NED_DEP_A inherit its fields directly
from an inherited SBP object, or construct it inline using a dict
of its fields.
This message reports the baseline solution in North East Down (NED)
coordinates. This baseline is the relative vector distance from the base
station to the rover receiver, and NED coordinate system is defined at the
local WGS84 tangent plane centered at the base station position. The full
GPS time is given by the preceding MSG_GPS_TIME with the matching time-of-
week (tow).
Parameters
----------
sbp : SBP
SBP parent object to inherit from.
tow : int
GPS Time of Week
n : int
Baseline North coordinate
e : int
Baseline East coordinate
d : int
Baseline Down coordinate
h_accuracy : int
Horizontal position accuracy estimate (not implemented). Defaults to 0.
v_accuracy : int
Vertical position accuracy estimate (not implemented). Defaults to 0.
n_sats : int
Number of satellites used in solution
flags : int
Status flags
sender : int
Optional sender ID, defaults to SENDER_ID (see sbp/msg.py).
"""
_parser = construct.Struct(
'tow' / construct.Int32ul,
'n' / construct.Int32sl,
'e' / construct.Int32sl,
'd' / construct.Int32sl,
'h_accuracy' / construct.Int16ul,
'v_accuracy' / construct.Int16ul,
'n_sats' / construct.Int8ul,
'flags' / construct.Int8ul,)
__slots__ = [
'tow',
'n',
'e',
'd',
'h_accuracy',
'v_accuracy',
'n_sats',
'flags',
]
def __init__(self, sbp=None, **kwargs):
if sbp:
super( MsgBaselineNEDDepA,
self).__init__(sbp.msg_type, sbp.sender, sbp.length,
sbp.payload, sbp.crc)
self.from_binary(sbp.payload)
else:
super( MsgBaselineNEDDepA, self).__init__()
self.msg_type = SBP_MSG_BASELINE_NED_DEP_A
self.sender = kwargs.pop('sender', SENDER_ID)
self.tow = kwargs.pop('tow')
self.n = kwargs.pop('n')
self.e = kwargs.pop('e')
self.d = kwargs.pop('d')
self.h_accuracy = kwargs.pop('h_accuracy')
self.v_accuracy = kwargs.pop('v_accuracy')
self.n_sats = kwargs.pop('n_sats')
self.flags = kwargs.pop('flags')
def __repr__(self):
return fmt_repr(self)
@staticmethod
def from_json(s):
"""Given a JSON-encoded string s, build a message object.
"""
d = json.loads(s)
return MsgBaselineNEDDepA.from_json_dict(d)
@staticmethod
def from_json_dict(d):
sbp = SBP.from_json_dict(d)
return MsgBaselineNEDDepA(sbp, **d)
def from_binary(self, d):
"""Given a binary payload d, update the appropriate payload fields of
the message.
"""
p = MsgBaselineNEDDepA._parser.parse(d)
for n in self.__class__.__slots__:
setattr(self, n, getattr(p, n))
def to_binary(self):
"""Produce a framed/packed SBP message.
"""
c = containerize(exclude_fields(self))
self.payload = MsgBaselineNEDDepA._parser.build(c)
return self.pack()
def into_buffer(self, buf, offset):
"""Produce a framed/packed SBP message into the provided buffer and offset.
"""
self.payload = containerize(exclude_fields(self))
self.parser = MsgBaselineNEDDepA._parser
self.stream_payload.reset(buf, offset)
return self.pack_into(buf, offset, self._build_payload)
def to_json_dict(self):
self.to_binary()
d = super( MsgBaselineNEDDepA, self).to_json_dict()
j = walk_json_dict(exclude_fields(self))
d.update(j)
return d
SBP_MSG_VEL_ECEF_DEP_A = 0x0204
class MsgVelECEFDepA(SBP):
"""SBP class for message MSG_VEL_ECEF_DEP_A (0x0204).
You can have MSG_VEL_ECEF_DEP_A inherit its fields directly
from an inherited SBP object, or construct it inline using a dict
of its fields.
This message reports the velocity in Earth Centered Earth Fixed (ECEF)
coordinates. The full GPS time is given by the preceding MSG_GPS_TIME with
the matching time-of-week (tow).
Parameters
----------
sbp : SBP
SBP parent object to inherit from.
tow : int
GPS Time of Week
x : int
Velocity ECEF X coordinate
y : int
Velocity ECEF Y coordinate
z : int
Velocity ECEF Z coordinate
accuracy : int
Velocity accuracy estimate (not implemented). Defaults to 0.
n_sats : int
Number of satellites used in solution
flags : int
Status flags (reserved)
sender : int
Optional sender ID, defaults to SENDER_ID (see sbp/msg.py).
"""
_parser = construct.Struct(
'tow' / construct.Int32ul,
'x' / construct.Int32sl,
'y' / construct.Int32sl,
'z' / construct.Int32sl,
'accuracy' / construct.Int16ul,
'n_sats' / construct.Int8ul,
'flags' / construct.Int8ul,)
__slots__ = [
'tow',
'x',
'y',
'z',
'accuracy',
'n_sats',
'flags',
]
def __init__(self, sbp=None, **kwargs):
if sbp:
super( MsgVelECEFDepA,
self).__init__(sbp.msg_type, sbp.sender, sbp.length,
sbp.payload, sbp.crc)
self.from_binary(sbp.payload)
else:
super( MsgVelECEFDepA, self).__init__()
self.msg_type = SBP_MSG_VEL_ECEF_DEP_A
self.sender = kwargs.pop('sender', SENDER_ID)
self.tow = kwargs.pop('tow')
self.x = kwargs.pop('x')
self.y = kwargs.pop('y')
self.z = kwargs.pop('z')
self.accuracy = kwargs.pop('accuracy')
self.n_sats = kwargs.pop('n_sats')
self.flags = kwargs.pop('flags')
def __repr__(self):
return fmt_repr(self)
@staticmethod
def from_json(s):
"""Given a JSON-encoded string s, build a message object.
"""
d = json.loads(s)
return MsgVelECEFDepA.from_json_dict(d)
@staticmethod
def from_json_dict(d):
sbp = SBP.from_json_dict(d)
return MsgVelECEFDepA(sbp, **d)
def from_binary(self, d):
"""Given a binary payload d, update the appropriate payload fields of
the message.
"""
p = MsgVelECEFDepA._parser.parse(d)
for n in self.__class__.__slots__:
setattr(self, n, getattr(p, n))
def to_binary(self):
"""Produce a framed/packed SBP message.
"""
c = containerize(exclude_fields(self))
self.payload = MsgVelECEFDepA._parser.build(c)
return self.pack()
def into_buffer(self, buf, offset):
"""Produce a framed/packed SBP message into the provided buffer and offset.
"""
self.payload = containerize(exclude_fields(self))
self.parser = MsgVelECEFDepA._parser
self.stream_payload.reset(buf, offset)
return self.pack_into(buf, offset, self._build_payload)
def to_json_dict(self):
self.to_binary()
d = super( MsgVelECEFDepA, self).to_json_dict()
j = walk_json_dict(exclude_fields(self))
d.update(j)
return d
SBP_MSG_VEL_NED_DEP_A = 0x0205
class MsgVelNEDDepA(SBP):
"""SBP class for message MSG_VEL_NED_DEP_A (0x0205).
You can have MSG_VEL_NED_DEP_A inherit its fields directly
from an inherited SBP object, or construct it inline using a dict
of its fields.
This message reports the velocity in local North East Down (NED)
coordinates. The NED coordinate system is defined as the local WGS84 tangent
plane centered at the current position. The full GPS time is given by the
preceding MSG_GPS_TIME with the matching time-of-week (tow).
Parameters
----------
sbp : SBP
SBP parent object to inherit from.
tow : int
GPS Time of Week
n : int
Velocity North coordinate
e : int
Velocity East coordinate
d : int
Velocity Down coordinate
h_accuracy : int
Horizontal velocity accuracy estimate (not implemented). Defaults to 0.
v_accuracy : int
Vertical velocity accuracy estimate (not implemented). Defaults to 0.
n_sats : int
Number of satellites used in solution
flags : int
Status flags (reserved)
sender : int
Optional sender ID, defaults to SENDER_ID (see sbp/msg.py).
"""
_parser = construct.Struct(
'tow' / construct.Int32ul,
'n' / construct.Int32sl,
'e' / construct.Int32sl,
'd' / construct.Int32sl,
'h_accuracy' / construct.Int16ul,
'v_accuracy' / construct.Int16ul,
'n_sats' / construct.Int8ul,
'flags' / construct.Int8ul,)
__slots__ = [
'tow',
'n',
'e',
'd',
'h_accuracy',
'v_accuracy',
'n_sats',
'flags',
]
def __init__(self, sbp=None, **kwargs):
if sbp:
super( MsgVelNEDDepA,
self).__init__(sbp.msg_type, sbp.sender, sbp.length,
sbp.payload, sbp.crc)
self.from_binary(sbp.payload)
else:
super( MsgVelNEDDepA, self).__init__()
self.msg_type = SBP_MSG_VEL_NED_DEP_A
self.sender = kwargs.pop('sender', SENDER_ID)
self.tow = kwargs.pop('tow')
self.n = kwargs.pop('n')
self.e = kwargs.pop('e')
self.d = kwargs.pop('d')
self.h_accuracy = kwargs.pop('h_accuracy')
self.v_accuracy = kwargs.pop('v_accuracy')
self.n_sats = kwargs.pop('n_sats')
self.flags = kwargs.pop('flags')
def __repr__(self):
return fmt_repr(self)
@staticmethod
def from_json(s):
"""Given a JSON-encoded string s, build a message object.
"""
d = json.loads(s)
return MsgVelNEDDepA.from_json_dict(d)
@staticmethod
def from_json_dict(d):
sbp = SBP.from_json_dict(d)
return MsgVelNEDDepA(sbp, **d)
def from_binary(self, d):
"""Given a binary payload d, update the appropriate payload fields of
the message.
"""
p = MsgVelNEDDepA._parser.parse(d)
for n in self.__class__.__slots__:
setattr(self, n, getattr(p, n))
def to_binary(self):
"""Produce a framed/packed SBP message.
"""
c = containerize(exclude_fields(self))
self.payload = MsgVelNEDDepA._parser.build(c)
return self.pack()
def into_buffer(self, buf, offset):
"""Produce a framed/packed SBP message into the provided buffer and offset.
"""
self.payload = containerize(exclude_fields(self))
self.parser = MsgVelNEDDepA._parser
self.stream_payload.reset(buf, offset)
return self.pack_into(buf, offset, self._build_payload)
def to_json_dict(self):
self.to_binary()
d = super( MsgVelNEDDepA, self).to_json_dict()
j = walk_json_dict(exclude_fields(self))
d.update(j)
return d
SBP_MSG_BASELINE_HEADING_DEP_A = 0x0207
class MsgBaselineHeadingDepA(SBP):
"""SBP class for message MSG_BASELINE_HEADING_DEP_A (0x0207).
You can have MSG_BASELINE_HEADING_DEP_A inherit its fields directly
from an inherited SBP object, or construct it inline using a dict
of its fields.
This message reports the baseline heading pointing from the base station to
the rover relative to True North. The full GPS time is given by the
preceding MSG_GPS_TIME with the matching time-of-week (tow).
Parameters
----------
sbp : SBP
SBP parent object to inherit from.
tow : int
GPS Time of Week
heading : int
Heading
n_sats : int
Number of satellites used in solution
flags : int
Status flags
sender : int
Optional sender ID, defaults to SENDER_ID (see sbp/msg.py).
"""
_parser = construct.Struct(
'tow' / construct.Int32ul,
'heading' / construct.Int32ul,
'n_sats' / construct.Int8ul,
'flags' / construct.Int8ul,)
__slots__ = [
'tow',
'heading',
'n_sats',
'flags',
]
def __init__(self, sbp=None, **kwargs):
if sbp:
super( MsgBaselineHeadingDepA,
self).__init__(sbp.msg_type, sbp.sender, sbp.length,
sbp.payload, sbp.crc)
self.from_binary(sbp.payload)
else:
super( MsgBaselineHeadingDepA, self).__init__()
self.msg_type = SBP_MSG_BASELINE_HEADING_DEP_A
self.sender = kwargs.pop('sender', SENDER_ID)
self.tow = kwargs.pop('tow')
self.heading = kwargs.pop('heading')
self.n_sats = kwargs.pop('n_sats')
self.flags = kwargs.pop('flags')
def __repr__(self):
return fmt_repr(self)
@staticmethod
def from_json(s):
"""Given a JSON-encoded string s, build a message object.
"""
d = json.loads(s)
return MsgBaselineHeadingDepA.from_json_dict(d)
@staticmethod
def from_json_dict(d):
sbp = SBP.from_json_dict(d)
return MsgBaselineHeadingDepA(sbp, **d)
def from_binary(self, d):
"""Given a binary payload d, update the appropriate payload fields of
the message.
"""
p = MsgBaselineHeadingDepA._parser.parse(d)
for n in self.__class__.__slots__:
setattr(self, n, getattr(p, n))
def to_binary(self):
"""Produce a framed/packed SBP message.
"""
c = containerize(exclude_fields(self))
self.payload = MsgBaselineHeadingDepA._parser.build(c)
return self.pack()
def into_buffer(self, buf, offset):
"""Produce a framed/packed SBP message into the provided buffer and offset.
"""
self.payload = containerize(exclude_fields(self))
self.parser = MsgBaselineHeadingDepA._parser
self.stream_payload.reset(buf, offset)
return self.pack_into(buf, offset, self._build_payload)
def to_json_dict(self):
self.to_binary()
d = super( MsgBaselineHeadingDepA, self).to_json_dict()
j = walk_json_dict(exclude_fields(self))
d.update(j)
return d
SBP_MSG_PROTECTION_LEVEL_DEP_A = 0x0216
class MsgProtectionLevelDepA(SBP):
"""SBP class for message MSG_PROTECTION_LEVEL_DEP_A (0x0216).
You can have MSG_PROTECTION_LEVEL_DEP_A inherit its fields directly
from an inherited SBP object, or construct it inline using a dict
of its fields.
This message reports the local vertical and horizontal protection levels
associated with a given LLH position solution. The full GPS time is given by
the preceding MSG_GPS_TIME with the matching time-of-week (tow).
Parameters
----------
sbp : SBP
SBP parent object to inherit from.
tow : int
GPS Time of Week
vpl : int
Vertical protection level
hpl : int
Horizontal protection level
lat : double
Latitude
lon : double
Longitude
height : double
Height
flags : int
Status flags
sender : int
Optional sender ID, defaults to SENDER_ID (see sbp/msg.py).
"""
_parser = construct.Struct(
'tow' / construct.Int32ul,
'vpl' / construct.Int16ul,
'hpl' / construct.Int16ul,
'lat' / construct.Float64l,
'lon' / construct.Float64l,
'height' / construct.Float64l,
'flags' / construct.Int8ul,)
__slots__ = [
'tow',
'vpl',
'hpl',
'lat',
'lon',
'height',
'flags',
]
def __init__(self, sbp=None, **kwargs):
if sbp:
super( MsgProtectionLevelDepA,
self).__init__(sbp.msg_type, sbp.sender, sbp.length,
sbp.payload, sbp.crc)
self.from_binary(sbp.payload)
else:
super( MsgProtectionLevelDepA, self).__init__()
self.msg_type = SBP_MSG_PROTECTION_LEVEL_DEP_A
self.sender = kwargs.pop('sender', SENDER_ID)
self.tow = kwargs.pop('tow')
self.vpl = kwargs.pop('vpl')
self.hpl = kwargs.pop('hpl')
self.lat = kwargs.pop('lat')
self.lon = kwargs.pop('lon')
self.height = kwargs.pop('height')
self.flags = kwargs.pop('flags')
def __repr__(self):
return fmt_repr(self)
@staticmethod
def from_json(s):
"""Given a JSON-encoded string s, build a message object.
"""
d = json.loads(s)
return MsgProtectionLevelDepA.from_json_dict(d)
@staticmethod
def from_json_dict(d):
sbp = SBP.from_json_dict(d)
return MsgProtectionLevelDepA(sbp, **d)
def from_binary(self, d):
"""Given a binary payload d, update the appropriate payload fields of
the message.
"""
p = MsgProtectionLevelDepA._parser.parse(d)
for n in self.__class__.__slots__:
setattr(self, n, getattr(p, n))
def to_binary(self):
"""Produce a framed/packed SBP message.
"""
c = containerize(exclude_fields(self))
self.payload = MsgProtectionLevelDepA._parser.build(c)
return self.pack()
def into_buffer(self, buf, offset):
"""Produce a framed/packed SBP message into the provided buffer and offset.
"""
self.payload = containerize(exclude_fields(self))
self.parser = MsgProtectionLevelDepA._parser
self.stream_payload.reset(buf, offset)
return self.pack_into(buf, offset, self._build_payload)
def to_json_dict(self):
self.to_binary()
d = super( MsgProtectionLevelDepA, self).to_json_dict()
j = walk_json_dict(exclude_fields(self))
d.update(j)
return d
SBP_MSG_PROTECTION_LEVEL = 0x0217
class MsgProtectionLevel(SBP):
"""SBP class for message MSG_PROTECTION_LEVEL (0x0217).
You can have MSG_PROTECTION_LEVEL inherit its fields directly
from an inherited SBP object, or construct it inline using a dict
of its fields.
This message reports the protection levels associated to the given state
estimate. The full GPS time is given by the preceding MSG_GPS_TIME with the
matching time-of-week (tow).
Parameters
----------
sbp : SBP
SBP parent object to inherit from.
tow : int
GPS Time of Week
wn : int
GPS week number
hpl : int
Horizontal protection level
vpl : int
Vertical protection level
atpl : int
Along-track position error protection level
ctpl : int
Cross-track position error protection level
hvpl : int
Protection level for the error vector between estimated and true
along/cross track velocity vector
vvpl : int
Protection level for the velocity in vehicle upright direction (different
from vertical direction if on a slope)
hopl : int
Heading orientation protection level
popl : int
Pitch orientation protection level
ropl : int
Roll orientation protection level
lat : double
Latitude
lon : double
Longitude
height : double
Height
v_x : int
Velocity in vehicle x direction
v_y : int
Velocity in vehicle y direction
v_z : int
Velocity in vehicle z direction
roll : int
Roll angle
pitch : int
Pitch angle
heading : int
Heading angle
flags : int
Status flags
sender : int
Optional sender ID, defaults to SENDER_ID (see sbp/msg.py).
"""
_parser = construct.Struct(
'tow' / construct.Int32ul,
'wn' / construct.Int16sl,
'hpl' / construct.Int16ul,
'vpl' / construct.Int16ul,
'atpl' / construct.Int16ul,
'ctpl' / construct.Int16ul,
'hvpl' / construct.Int16ul,
'vvpl' / construct.Int16ul,
'hopl' / construct.Int16ul,
'popl' / construct.Int16ul,
'ropl' / construct.Int16ul,
'lat' / construct.Float64l,
'lon' / construct.Float64l,
'height' / construct.Float64l,
'v_x' / construct.Int32sl,
'v_y' / construct.Int32sl,
'v_z' / construct.Int32sl,
'roll' / construct.Int32sl,
'pitch' / construct.Int32sl,
'heading' / construct.Int32sl,
'flags' / construct.Int32ul,)
__slots__ = [
'tow',
'wn',
'hpl',
'vpl',
'atpl',
'ctpl',
'hvpl',
'vvpl',
'hopl',
'popl',
'ropl',
'lat',
'lon',
'height',
'v_x',
'v_y',
'v_z',
'roll',
'pitch',
'heading',
'flags',
]
def __init__(self, sbp=None, **kwargs):
if sbp:
super( MsgProtectionLevel,
self).__init__(sbp.msg_type, sbp.sender, sbp.length,
sbp.payload, sbp.crc)
self.from_binary(sbp.payload)
else:
super( MsgProtectionLevel, self).__init__()
self.msg_type = SBP_MSG_PROTECTION_LEVEL
self.sender = kwargs.pop('sender', SENDER_ID)
self.tow = kwargs.pop('tow')
self.wn = kwargs.pop('wn')
self.hpl = kwargs.pop('hpl')
self.vpl = kwargs.pop('vpl')
self.atpl = kwargs.pop('atpl')
self.ctpl = kwargs.pop('ctpl')
self.hvpl = kwargs.pop('hvpl')
self.vvpl = kwargs.pop('vvpl')
self.hopl = kwargs.pop('hopl')
self.popl = kwargs.pop('popl')
self.ropl = kwargs.pop('ropl')
self.lat = kwargs.pop('lat')
self.lon = kwargs.pop('lon')
self.height = kwargs.pop('height')
self.v_x = kwargs.pop('v_x')
self.v_y = kwargs.pop('v_y')
self.v_z = kwargs.pop('v_z')
self.roll = kwargs.pop('roll')
self.pitch = kwargs.pop('pitch')
self.heading = kwargs.pop('heading')
self.flags = kwargs.pop('flags')
def __repr__(self):
return fmt_repr(self)
@staticmethod
def from_json(s):
"""Given a JSON-encoded string s, build a message object.
"""
d = json.loads(s)
return MsgProtectionLevel.from_json_dict(d)
@staticmethod
def from_json_dict(d):
sbp = SBP.from_json_dict(d)
return MsgProtectionLevel(sbp, **d)
def from_binary(self, d):
"""Given a binary payload d, update the appropriate payload fields of
the message.
"""
p = MsgProtectionLevel._parser.parse(d)
for n in self.__class__.__slots__:
setattr(self, n, getattr(p, n))
def to_binary(self):
"""Produce a framed/packed SBP message.
"""
c = containerize(exclude_fields(self))
self.payload = MsgProtectionLevel._parser.build(c)
return self.pack()
def into_buffer(self, buf, offset):
"""Produce a framed/packed SBP message into the provided buffer and offset.
"""
self.payload = containerize(exclude_fields(self))
self.parser = MsgProtectionLevel._parser
self.stream_payload.reset(buf, offset)
return self.pack_into(buf, offset, self._build_payload)
def to_json_dict(self):
self.to_binary()
d = super( MsgProtectionLevel, self).to_json_dict()
j = walk_json_dict(exclude_fields(self))
d.update(j)
return d
msg_classes = {
0x0102: MsgGPSTime,
0x0104: MsgGPSTimeGnss,
0x0103: MsgUtcTime,
0x0105: MsgUtcTimeGnss,
0x0208: MsgDops,
0x0209: MsgPosECEF,
0x0214: MsgPosECEFCov,
0x020A: MsgPosLLH,
0x0211: MsgPosLLHCov,
0x0218: MsgPosLLHAcc,
0x020B: MsgBaselineECEF,
0x020C: MsgBaselineNED,
0x020D: MsgVelECEF,
0x0215: MsgVelECEFCov,
0x020E: MsgVelNED,
0x0212: MsgVelNEDCov,
0x0229: MsgPosECEFGnss,
0x0234: MsgPosECEFCovGnss,
0x022A: MsgPosLLHGnss,
0x0231: MsgPosLLHCovGnss,
0x022D: MsgVelECEFGnss,
0x0235: MsgVelECEFCovGnss,
0x022E: MsgVelNEDGnss,
0x0232: MsgVelNEDCovGnss,
0x0213: MsgVelBody,
0x0210: MsgAgeCorrections,
0x0100: MsgGPSTimeDepA,
0x0206: MsgDopsDepA,
0x0200: MsgPosECEFDepA,
0x0201: MsgPosLLHDepA,
0x0202: MsgBaselineECEFDepA,
0x0203: MsgBaselineNEDDepA,
0x0204: MsgVelECEFDepA,
0x0205: MsgVelNEDDepA,
0x0207: MsgBaselineHeadingDepA,
0x0216: MsgProtectionLevelDepA,
0x0217: MsgProtectionLevel,
} | 29.675444 | 88 | 0.628066 | 19,515 | 148,763 | 4.595952 | 0.028952 | 0.035924 | 0.014851 | 0.016089 | 0.878682 | 0.87032 | 0.859929 | 0.855558 | 0.845457 | 0.83259 | 0 | 0.012053 | 0.274961 | 148,763 | 5,013 | 89 | 29.675444 | 0.819496 | 0.352426 | 0 | 0.787009 | 0 | 0 | 0.052665 | 0 | 0 | 0 | 0.004805 | 0 | 0 | 1 | 0.112915 | false | 0 | 0.001511 | 0.01435 | 0.241692 | 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 |
e3e40919e6533e1b11bce645430558b413285a03 | 141 | py | Python | main.py | Hannah-Ashna/git-cli-workshop | 62951f4b379f6f7442467ff1c3c2018ca908565e | [
"MIT"
] | null | null | null | main.py | Hannah-Ashna/git-cli-workshop | 62951f4b379f6f7442467ff1c3c2018ca908565e | [
"MIT"
] | null | null | null | main.py | Hannah-Ashna/git-cli-workshop | 62951f4b379f6f7442467ff1c3c2018ca908565e | [
"MIT"
] | null | null | null | name = input("Enter your name: ")
print("AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA wassup " + name)
| 47 | 106 | 0.843972 | 9 | 141 | 13.222222 | 0.777778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.078014 | 141 | 2 | 107 | 70.5 | 0.915385 | 0 | 0 | 0 | 0 | 0 | 0.758865 | 0.58156 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 7 |
5404015b4206c1730c53b4bd0e84fd22d27fb94e | 64,716 | py | Python | neuralNetwork.py | xavigs/tennis-predictor | 60f71723744f15fb601d1cf0612d417cd0c13923 | [
"MIT"
] | 6 | 2019-05-28T15:38:58.000Z | 2022-01-14T10:01:37.000Z | neuralNetwork.py | xavigs/the-beast | 60f71723744f15fb601d1cf0612d417cd0c13923 | [
"MIT"
] | null | null | null | neuralNetwork.py | xavigs/the-beast | 60f71723744f15fb601d1cf0612d417cd0c13923 | [
"MIT"
] | 2 | 2019-04-16T19:38:09.000Z | 2019-05-28T15:38:59.000Z | from cassandra.cluster import Cluster
import numpy as np
import matplotlib.pyplot as plt
from pprint import pprint
from colorclass import Color, Windows
from terminaltables import SingleTable
import random
def sigmoid(x):
return 1.0 / (1.0 + np.exp(-x))
def sigmoid_derivative(x):
return sigmoid(x) * (1.0 - sigmoid(x))
def tanh(x):
return np.tanh(x)
def tanh_derivative(x):
return 1.0 - x ** 2
class NeuralNetwork:
def __init__(self, layers, activation='tanh'):
if activation == 'sigmoid':
self.activation = sigmoid
self.activation_prime = sigmoid_derivative
elif activation == 'tanh':
self.activation = tanh
self.activation_prime = tanh_derivative
# Init weights
self.weights = []
self.deltas = []
# Set random values
for i in range(1, len(layers) - 1):
r = 2 * np.random.random((layers[i-1] + 1, layers[i] + 1)) -1
self.weights.append(r)
r = 2 * np.random.random((layers[i] + 1, layers[i+1])) - 1
self.weights.append(r)
def fit(self, X, y, learning_rate=0.2, epochs=100000):
origin = X
ones = np.atleast_2d(np.ones(X.shape[0]))
X = np.concatenate((ones.T, X), axis=1)
for k in range(epochs):
i = np.random.randint(X.shape[0])
a = [X[i]]
for l in range(len(self.weights)):
dot_value = np.dot(a[l], self.weights[l])
activation = self.activation(dot_value)
a.append(activation)
error = y[i] - a[-1]
deltas = [error * self.activation_prime(a[-1])]
for l in range(len(a) - 2, 0, -1):
deltas.append(deltas[-1].dot(self.weights[l].T)*self.activation_prime(a[l]))
self.deltas.append(deltas)
deltas.reverse()
# Backpropagation
for i in range(len(self.weights)):
layer = np.atleast_2d(a[i])
delta = np.atleast_2d(deltas[i])
self.weights[i] += learning_rate * layer.T.dot(delta)
if k % 10000 == 0: print('epochs:', k)
# Generem el valor del gràfic
if k % (epochs / 200) == 0:
global values
total_errors = 0
total_items = len(origin)
for i, item in enumerate(origin):
coef = self.predict(item)
if coef[0] < 0 and y[i] == 1 or coef[0] > 0 and y[i] == -1:
total_errors += 1
pct_errors = round((total_errors * 100) / total_items, 2)
values.append(pct_errors)
# Predicció
global Z
global sol
global values_predicted
total_errors = 0
total_items = len(Z)
for i, item in enumerate(Z):
coef = self.predict(item)
if coef[0] < 0 and sol[i] == 1 or coef[0] > 0 and sol[i] == -1:
total_errors += 1
pct_errors = round((total_errors * 100) / total_items, 2)
values_predicted.append(pct_errors)
def predict(self, x):
ones = np.atleast_2d(np.ones(x.shape[0]))
a = np.concatenate((np.ones(1).T, np.array(x)), axis=0)
for l in range(0, len(self.weights)):
a = self.activation(np.dot(a, self.weights[l]))
return a
def print_weights(self):
print("Llistat de pesos de connexions")
for i in range(len(self.weights)):
print(self.weights[i])
def get_deltas(self):
return self.deltas
# Variables
Windows.enable(auto_colors=True, reset_atexit=True) # Does nothing if not on Windows
rounds = ["1R", "2R", "3R", "R16", "QF", "SF", "F"]
categories = ["250", "500", "1000", "grandslam"]
surfaces = ["H", "C", "G", "I"]
intervals = {"<1.50": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"1.50-1.99": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"2.00-2.49": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"2.50-2.99": {'units': 0.0, 'stake': 0, 'yield': 0.0},
">2.99": {'units': 0.0, 'stake': 0, 'yield': 0.0}}
value_intervals = {"<1.01": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"1.01-1.50": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"1.51-2.00": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"2.01-2.50": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"2.51-3.00": {'units': 0.0, 'stake': 0, 'yield': 0.0},
">3.00": {'units': 0.0, 'stake': 0, 'yield': 0.0}}
games_train = []
games = []
winners_train = []
games_predict = []
predict = []
winners_sim = []
dates_train = []
dates_predict = []
tournaments_train = []
tournaments_predict = []
games_names_train = []
games_names_predict = []
values = []
values_predicted = []
num_epochs = 50000000
nn = NeuralNetwork([21, 15, 15, 15, 1], activation = 'tanh')
# Open connection
cluster = Cluster(["127.0.0.1"])
session = cluster.connect("beast")
# Get games from DB
'''
Torneig - Ronda - Local - Edat - Rank - Race - RankMax - H2H - %Any - %AnySup - %SupCar - 3Mesos - PtsDef - Odd
'''
query = "SELECT COUNT(*) as num_games FROM game_train"
row = session.execute(query)
num_games = row[0].num_games
num_games_train = round(num_games * 0.8, 0)
index = 0
season = 2014
while season < 2016:
for week in range(1, 45):
query = "SELECT game_season, game_tournament, game_week, game_round, game_surface, game_category, game_sets, game_points, game_date, game_rank1, game_rank2, game_race1, game_race2, game_rankmax1, game_rankmax2, game_age1, game_age2, game_h2h1, game_h2h2, game_h2h_year1, game_h2h_year2, game_h2h_surface1, game_h2h_surface2, game_h2h_surface_year1, game_h2h_surface_year2, game_surface1, game_surface2, game_surface_year1, game_surface_year2, game_hand1, game_hand2, game_home1, game_home2, game_3months1, game_3months2, game_10streak1, game_10streak2, game_gp1m1, game_gp1m2, game_gp3m1, game_gp3m2, game_gp6m1, game_gp6m2, game_pts_def1, game_pts_def2, game_player1, game_player2, game_winner, game_odd1, game_odd2 FROM game_train WHERE game_season = " + str(season) + " AND game_week = " + str(week) + " ORDER BY game_id ASC"
games_db = session.execute(query)
for game_db in games_db:
game = []
game.append(round((rounds.index(game_db.game_round) + 1) / 7, 2))
game.append(round((surfaces.index(game_db.game_surface) + 1) / 4, 2))
game.append(round((categories.index(game_db.game_category) + 1) / 4, 2))
if game_db.game_rank1 == 0 or game_db.game_rank2 == 0:
game.append(0)
else:
if game_db.game_rank1 < game_db.game_rank2:
game.append(-1)
else:
game.append(1)
if game_db.game_race1 == 0 or game_db.game_race2 == 0:
game.append(0)
else:
if game_db.game_race1 < game_db.game_race2:
game.append(-1)
else:
game.append(1)
if game_db.game_rankmax1 == 0 or game_db.game_rankmax2 == 0 or game_db.game_rankmax1 == game_db.game_rankmax2:
game.append(0)
else:
if game_db.game_rankmax1 < game_db.game_rankmax2:
game.append(-1)
else:
game.append(1)
if game_db.game_h2h1 == -1 or game_db.game_h2h2 == -1:
game.append(0)
else:
if game_db.game_h2h1 > game_db.game_h2h2:
game.append(-1)
else:
game.append(1)
if game_db.game_h2h_year1 == -1 or game_db.game_h2h_year2 == -1:
game.append(0)
else:
if game_db.game_h2h_year1 > game_db.game_h2h_year2:
game.append(-1)
else:
game.append(1)
if game_db.game_h2h_surface1 == -1 or game_db.game_h2h_surface2 == -1:
game.append(0)
else:
if game_db.game_h2h_surface1 > game_db.game_h2h_surface2:
game.append(-1)
else:
game.append(1)
if game_db.game_surface1 == -1 or game_db.game_surface2 == -1 or game_db.game_surface1 == game_db.game_surface2:
game.append(0)
else:
if game_db.game_surface1 > game_db.game_surface2:
game.append(-1)
else:
game.append(1)
if game_db.game_surface_year1 == -1 or game_db.game_surface_year2 == -1 or game_db.game_surface_year1 == game_db.game_surface_year2:
game.append(0)
else:
if game_db.game_surface_year1 > game_db.game_surface_year2:
game.append(-1)
else:
game.append(1)
if game_db.game_home1 == game_db.game_home2:
game.append(0)
else:
if game_db.game_home1:
game.append(-1)
else:
game.append(1)
evol_3months1 = round((game_db.game_3months1 - game_db.game_rank1) * 100 / max(game_db.game_3months1, game_db.game_rank1), 0)
evol_3months2 = round((game_db.game_3months2 - game_db.game_rank2) * 100 / max(game_db.game_3months2, game_db.game_rank2), 0)
if evol_3months1 == evol_3months2:
game.append(0)
else:
if evol_3months1 > evol_3months2:
game.append(-1)
else:
game.append(1)
if game_db.game_10streak1 == game_db.game_10streak2:
game.append(0)
else:
if game_db.game_10streak1 > game_db.game_10streak2:
game.append(-1)
else:
game.append(1)
if game_db.game_gp1m1 == game_db.game_gp1m2:
game.append(0)
else:
if game_db.game_gp1m1 > game_db.game_gp1m2:
game.append(-1)
else:
game.append(1)
if game_db.game_gp3m1 == game_db.game_gp3m2:
game.append(0)
else:
if game_db.game_gp3m1 > game_db.game_gp3m2:
game.append(-1)
else:
game.append(1)
if game_db.game_gp6m1 == game_db.game_gp6m2:
game.append(0)
else:
if game_db.game_gp6m1 > game_db.game_gp6m2:
game.append(-1)
else:
game.append(1)
if game_db.game_pts_def1 == game_db.game_pts_def2:
game.append(0)
else:
if game_db.game_pts_def1 > game_db.game_pts_def2:
game.append(-1)
else:
game.append(1)
game.append(round(game_db.game_points / 2000, 4))
game.append(round(game_db.game_odd1 / 50, 4))
game.append(round(game_db.game_odd2 / 50, 4))
query_player1 = "SELECT player_name FROM player_by_atpid WHERE player_atpwt_id = '" + game_db.game_player1 + "'"
player1 = session.execute(query_player1)
player1_name = player1[0].player_name
query_player2 = "SELECT player_name FROM player_by_atpid WHERE player_atpwt_id = '" + game_db.game_player2 + "'"
player2 = session.execute(query_player2)
player2_name = player2[0].player_name
# Turn players randomly
turn = random.randint(0, 1)
if turn == 1:
game[3] *= -1
game[4] *= -1
game[5] *= -1
game[6] *= -1
game[7] *= -1
game[8] *= -1
game[9] *= -1
game[10] *= -1
game[11] *= -1
game[12] *= -1
game[13] *= -1
game[14] *= -1
game[15] *= -1
game[16] *= -1
game[17] *= -1
odd1 = game[19]
game[19] = game[20]
game[20] = odd1
aux_name = player1_name
player1_name = player2_name
player2_name = aux_name
winner = 1
else:
winner = -1
if index < num_games_train:
full_game = game.copy()
games.append(full_game)
#del game[0]
games_train.append(game)
games_names_train.append(player1_name + " - " + player2_name)
dates_train.append(str(game_db.game_date))
tournaments_train.append(game_db.game_tournament.capitalize())
winners_train.append([winner])
else:
full_game = game.copy()
predict.append(full_game)
#del game[0]
games_predict.append(game)
games_names_predict.append(player1_name + " - " + player2_name)
dates_predict.append(str(game_db.game_date))
tournaments_predict.append(game_db.game_tournament.capitalize())
winners_sim.append([winner])
index += 1
season += 1
np.set_printoptions(suppress=True)
X = np.array(games_train)
y = np.array(winners_train)
Z = np.array(games_predict)
sol = np.array(winners_sim)
# Previous prediction
index = 0
for e in X:
print("X:", games_names_train[index], "Sol:", y[index], "Network:", nn.predict(e))
index += 1
nn.fit(X, y, learning_rate = 0.01, epochs = num_epochs)
# Prediction after training
index = 0
train_table = []
train_table.append([Color('{autoyellow}Game{/autoyellow}'),
Color('{autoyellow}Date{/autoyellow}'),
Color('{autoyellow}Tournament{/autoyellow}'),
Color('{autoyellow}Round{/autoyellow}'),
Color('{autoyellow}Odd 1{/autoyellow}'),
Color('{autoyellow}Odd 2{/autoyellow}'),
Color('{autoyellow}Pick{/autoyellow}'),
Color('{autoyellow}Prob{/autoyellow}'),
Color('{autoyellow}Value{/autoyellow}'),
Color('{autoyellow}Res{/autoyellow}'),
Color('{autoyellow}Uts{/autoyellow}'),
Color('{autoyellow}Coef{/autoyellow}')])
units = 0.0
stake = 0
hits = 0
different_probs = []
for e in X:
stake += 1
row = []
row.append(games_names_train[index])
players = games_names_train[index].split(" - ")
row.append(dates_train[index][:10])
row.append(tournaments_train[index])
row.append(rounds[int(round(games[index][0] * 6, 0))])
odd1 = round(games[index][19] * 50, 2)
odd2 = round(games[index][20] * 50, 2)
row.append(odd1)
row.append(odd2)
coef = nn.predict(e)
if round(coef[0], 2) not in different_probs:
different_probs.append(round(coef[0], 2))
prob2 = round((coef[0] + 1) * 100 / 2, 2)
prob1 = round(100 - prob2, 2)
inv_odd1 = 1 / odd1
inv_odd2 = 1 / odd2
inv_tot = inv_odd1 + inv_odd2
prob_bookmark1 = round(inv_odd1 * (100 - (inv_tot * 100 - 100)), 2)
prob_bookmark2 = round(inv_odd2 * (100 - (inv_tot * 100 - 100)), 2)
new_odd1 = round(100 / prob_bookmark1, 2)
new_odd2 = round(100 / prob_bookmark2, 2)
value1 = round(odd1 * prob1 / 100, 2)
value2 = round(odd2 * prob2 / 100, 2)
if value1 >= value2:
units_pick = odd1 - 1
row.append(players[0])
row.append(str(prob1) + "%")
row.append(str(value1))
if y[index] == -1:
result = "W"
else:
result = "L"
else:
units_pick = odd2 - 1
row.append(players[1])
row.append(str(prob2) + "%")
row.append(str(value2))
if y[index] == -1:
result = "L"
else:
result = "W"
if result == "W":
hits += 1
row.append(Color('{autogreen}W{/autogreen}'))
row.append("+" + str(round(units_pick, 2)))
units += round(units_pick, 2)
# Odds intervals
if units_pick < 1.50:
intervals['<1.50']['units'] += round(units_pick, 2)
intervals['<1.50']['stake'] += 1
intervals['<1.50']['yield'] = round(intervals['<1.50']['units'] * 100 / intervals['<1.50']['stake'], 2)
elif units_pick < 2.00:
intervals['1.50-1.99']['units'] += round(units_pick, 2)
intervals['1.50-1.99']['stake'] += 1
intervals['1.50-1.99']['yield'] = round(intervals['1.50-1.99']['units'] * 100 / intervals['1.50-1.99']['stake'], 2)
elif units_pick < 2.49:
intervals['2.00-2.49']['units'] += round(units_pick, 2)
intervals['2.00-2.49']['stake'] += 1
intervals['2.00-2.49']['yield'] = round(intervals['2.00-2.49']['units'] * 100 / intervals['2.00-2.49']['stake'], 2)
elif units_pick < 2.99:
intervals['2.50-2.99']['units'] += round(units_pick, 2)
intervals['2.50-2.99']['stake'] += 1
intervals['2.50-2.99']['yield'] = round(intervals['2.50-2.99']['units'] * 100 / intervals['2.50-2.99']['stake'], 2)
else:
intervals['>2.99']['units'] += round(units_pick, 2)
intervals['>2.99']['stake'] += 1
intervals['>2.99']['yield'] = round(intervals['>2.99']['units'] * 100 / intervals['>2.99']['stake'], 2)
# Value intervals
if float(row[8]) < 1.01:
value_intervals['<1.01']['units'] += round(units_pick, 2)
value_intervals['<1.01']['stake'] += 1
value_intervals['<1.01']['yield'] = round(value_intervals['<1.01']['units'] * 100 / value_intervals['<1.01']['stake'], 2)
elif float(row[8]) < 1.51:
value_intervals['1.01-1.50']['units'] += round(units_pick, 2)
value_intervals['1.01-1.50']['stake'] += 1
value_intervals['1.01-1.50']['yield'] = round(value_intervals['1.01-1.50']['units'] * 100 / value_intervals['1.01-1.50']['stake'], 2)
elif float(row[8]) < 2.01:
value_intervals['1.51-2.00']['units'] += round(units_pick, 2)
value_intervals['1.51-2.00']['stake'] += 1
value_intervals['1.51-2.00']['yield'] = round(value_intervals['1.51-2.00']['units'] * 100 / value_intervals['1.51-2.00']['stake'], 2)
elif float(row[8]) < 2.51:
value_intervals['2.01-2.50']['units'] += round(units_pick, 2)
value_intervals['2.01-2.50']['stake'] += 1
value_intervals['2.01-2.50']['yield'] = round(value_intervals['2.01-2.50']['units'] * 100 / value_intervals['2.01-2.50']['stake'], 2)
elif float(row[8]) < 3.01:
value_intervals['2.51-3.00']['units'] += round(units_pick, 2)
value_intervals['2.51-3.00']['stake'] += 1
value_intervals['2.51-3.00']['yield'] = round(value_intervals['2.51-3.00']['units'] * 100 / value_intervals['2.51-3.00']['stake'], 2)
else:
value_intervals['>3.00']['units'] += round(units_pick, 2)
value_intervals['>3.00']['stake'] += 1
value_intervals['>3.00']['yield'] = round(value_intervals['>3.00']['units'] * 100 / value_intervals['>3.00']['stake'], 2)
else:
row.append(Color('{autored}L{/autored}'))
row.append(-1)
units -= 1
# Odds intervals
if units_pick < 1.50:
intervals['<1.50']['units'] -= 1
intervals['<1.50']['stake'] += 1
intervals['<1.50']['yield'] = round(intervals['<1.50']['units'] * 100 / intervals['<1.50']['stake'], 2)
elif units_pick < 2.00:
intervals['1.50-1.99']['units'] -= 1
intervals['1.50-1.99']['stake'] += 1
intervals['1.50-1.99']['yield'] = round(intervals['1.50-1.99']['units'] * 100 / intervals['1.50-1.99']['stake'], 2)
elif units_pick < 2.49:
intervals['2.00-2.49']['units'] -= 1
intervals['2.00-2.49']['stake'] += 1
intervals['2.00-2.49']['yield'] = round(intervals['2.00-2.49']['units'] * 100 / intervals['2.00-2.49']['stake'], 2)
elif units_pick < 2.99:
intervals['2.50-2.99']['units'] -= 1
intervals['2.50-2.99']['stake'] += 1
intervals['2.50-2.99']['yield'] = round(intervals['2.50-2.99']['units'] * 100 / intervals['2.50-2.99']['stake'], 2)
else:
intervals['>2.99']['units'] -= 1
intervals['>2.99']['stake'] += 1
intervals['>2.99']['yield'] = round(intervals['>2.99']['units'] * 100 / intervals['>2.99']['stake'], 2)
# Value intervals
if float(row[8]) < 1.01:
value_intervals['<1.01']['units'] -= 1
value_intervals['<1.01']['stake'] += 1
value_intervals['<1.01']['yield'] = round(value_intervals['<1.01']['units'] * 100 / value_intervals['<1.01']['stake'], 2)
elif float(row[8]) < 1.51:
value_intervals['1.01-1.50']['units'] -= 1
value_intervals['1.01-1.50']['stake'] += 1
value_intervals['1.01-1.50']['yield'] = round(value_intervals['1.01-1.50']['units'] * 100 / value_intervals['1.01-1.50']['stake'], 2)
elif float(row[8]) < 2.01:
value_intervals['1.51-2.00']['units'] -= 1
value_intervals['1.51-2.00']['stake'] += 1
value_intervals['1.51-2.00']['yield'] = round(value_intervals['1.51-2.00']['units'] * 100 / value_intervals['1.51-2.00']['stake'], 2)
elif float(row[8]) < 2.51:
value_intervals['2.01-2.50']['units'] -= 1
value_intervals['2.01-2.50']['stake'] += 1
value_intervals['2.01-2.50']['yield'] = round(value_intervals['2.01-2.50']['units'] * 100 / value_intervals['2.01-2.50']['stake'], 2)
elif float(row[8]) < 3.01:
value_intervals['2.51-3.00']['units'] -= 1
value_intervals['2.51-3.00']['stake'] += 1
value_intervals['2.51-3.00']['yield'] = round(value_intervals['2.51-3.00']['units'] * 100 / value_intervals['2.51-3.00']['stake'], 2)
else:
value_intervals['>3.00']['units'] -= 1
value_intervals['>3.00']['stake'] += 1
value_intervals['>3.00']['yield'] = round(value_intervals['>3.00']['units'] * 100 / value_intervals['>3.00']['stake'], 2)
row.append(coef[0])
train_table.append(row)
index += 1
table_instance = SingleTable(train_table, Color('{autocyan} Prediction with training games {/autocyan}'))
table_instance.inner_heading_row_border = False
table_instance.inner_row_border = True
table_instance.justify_columns = {0: 'left', 1: 'center', 2: 'center', 3: 'center', 4: 'center', 5: 'center', 6: 'left', 7: 'center', 8: 'center', 9: 'center', 10: 'center', 11: 'center'}
print("\n" + table_instance.table)
print("\n" + Color('{autogreen}Units: {/autogreen}') + str(round(units, 2)))
print(Color('{autogreen}Hits: {/autogreen}') + str(hits))
print(Color('{autogreen}Stake: {/autogreen}') + str(stake))
print(Color('{autogreen}Yield: {/autogreen}') + str(round(units * 100 / stake, 2)) + "%")
print(Color('{autogreen}Different probabilities: {/autogreen}') + str(len(different_probs)))
print(Color('{autogreen}Value intervals: {/autogreen}'))
pprint(value_intervals)
print(Color('{autogreen}Odd intervals: {/autogreen}'))
pprint(intervals)
# Prediction with new games
index = 0
intervals = {"<1.50": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"1.50-1.99": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"2.00-2.49": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"2.50-2.99": {'units': 0.0, 'stake': 0, 'yield': 0.0},
">2.99": {'units': 0.0, 'stake': 0, 'yield': 0.0}}
value_intervals = {"<1.01": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"1.01-1.50": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"1.51-2.00": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"2.01-2.50": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"2.51-3.00": {'units': 0.0, 'stake': 0, 'yield': 0.0},
">3.00": {'units': 0.0, 'stake': 0, 'yield': 0.0}}
odd_value_intervals = {"Odd <1.50 / Value <1.01": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"Odd <1.50 / Value 1.01-1.50": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"Odd <1.50 / Value 1.51-2.00": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"Odd <1.50 / Value 2.01-2.50": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"Odd <1.50 / Value 2.51-3.00": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"Odd <1.50 / Value >3.00": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"Odd 1.50-1.99 / Value <1.01": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"Odd 1.50-1.99 / Value 1.01-1.50": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"Odd 1.50-1.99 / Value 1.51-2.00": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"Odd 1.50-1.99 / Value 2.01-2.50": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"Odd 1.50-1.99 / Value 2.51-3.00": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"Odd 1.50-1.99 / Value >3.00": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"Odd 2.00-2.49 / Value <1.01": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"Odd 2.00-2.49 / Value 1.01-1.50": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"Odd 2.00-2.49 / Value 1.51-2.00": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"Odd 2.00-2.49 / Value 2.01-2.50": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"Odd 2.00-2.49 / Value 2.51-3.00": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"Odd 2.00-2.49 / Value >3.00": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"Odd 2.50-2.99 / Value <1.01": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"Odd 2.50-2.99 / Value 1.01-1.50": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"Odd 2.50-2.99 / Value 1.51-2.00": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"Odd 2.50-2.99 / Value 2.01-2.50": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"Odd 2.50-2.99 / Value 2.51-3.00": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"Odd 2.50-2.99 / Value >3.00": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"Odd >2.99 / Value <1.01": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"Odd >2.99 / Value 1.01-1.50": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"Odd >2.99 / Value 1.51-2.00": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"Odd >2.99 / Value 2.01-2.50": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"Odd >2.99 / Value 2.51-3.00": {'units': 0.0, 'stake': 0, 'yield': 0.0},
"Odd >2.99 / Value >3.00": {'units': 0.0, 'stake': 0, 'yield': 0.0}}
prediction_table = []
prediction_table.append([Color('{autoyellow}Game{/autoyellow}'),
Color('{autoyellow}Date{/autoyellow}'),
Color('{autoyellow}Tournament{/autoyellow}'),
Color('{autoyellow}Round{/autoyellow}'),
Color('{autoyellow}Odd 1{/autoyellow}'),
Color('{autoyellow}Odd 2{/autoyellow}'),
Color('{autoyellow}Pick{/autoyellow}'),
Color('{autoyellow}Prob{/autoyellow}'),
Color('{autoyellow}Value{/autoyellow}'),
Color('{autoyellow}Res{/autoyellow}'),
Color('{autoyellow}Uts{/autoyellow}'),
Color('{autoyellow}Coef{/autoyellow}')])
units = 0.0
stake = 0
hits = 0
different_probs = []
for e in Z:
row = []
row.append(games_names_predict[index])
players = games_names_predict[index].split(" - ")
row.append(dates_predict[index][:10])
row.append(tournaments_predict[index])
row.append(rounds[int(round(predict[index][0] * 6, 0))])
odd1 = round(predict[index][19] * 50, 2)
odd2 = round(predict[index][20] * 50, 2)
row.append(odd1)
row.append(odd2)
coef = nn.predict(e)
if round(coef[0], 2) not in different_probs:
different_probs.append(round(coef[0], 2))
prob2 = round((coef[0] + 1) * 100 / 2, 2)
prob1 = round(100 - prob2, 2)
inv_odd1 = 1 / odd1
inv_odd2 = 1 / odd2
inv_tot = inv_odd1 + inv_odd2
prob_bookmark1 = round(inv_odd1 * (100 - (inv_tot * 100 - 100)), 2)
prob_bookmark2 = round(inv_odd2 * (100 - (inv_tot * 100 - 100)), 2)
new_odd1 = round(100 / prob_bookmark1, 2)
new_odd2 = round(100 / prob_bookmark2, 2)
value1 = round(odd1 * prob1 / 100, 2)
value2 = round(odd2 * prob2 / 100, 2)
if value1 >= value2:
units_pick = odd1 - 1
row.append(players[0])
row.append(str(prob1) + "%")
row.append(str(value1))
if sol[index] == -1:
result = "W"
else:
result = "L"
else:
units_pick = odd2 - 1
row.append(players[1])
row.append(str(prob2) + "%")
row.append(str(value2))
if sol[index] == -1:
result = "L"
else:
result = "W"
if 1.50 < float(row[8]) <= 2.00 and 0.50 <= float(units_pick) < 2.00:
stake += 1
if result == "W":
hits += 1
row.append(Color('{autogreen}W{/autogreen}'))
row.append("+" + str(round(units_pick, 2)))
units += round(units_pick, 2)
# Odds intervals
if float(units_pick) < 0.50:
intervals['<1.50']['units'] += round(units_pick, 2)
intervals['<1.50']['stake'] += 1
intervals['<1.50']['yield'] = round(intervals['<1.50']['units'] * 100 / intervals['<1.50']['stake'], 2)
if float(row[8]) < 1.01:
odd_value_intervals['Odd <1.50 / Value <1.01']['units'] += round(units_pick, 2)
odd_value_intervals['Odd <1.50 / Value <1.01']['stake'] += 1
odd_value_intervals['Odd <1.50 / Value <1.01']['yield'] = round(odd_value_intervals['Odd <1.50 / Value <1.01']['units'] * 100 / odd_value_intervals['Odd <1.50 / Value <1.01']['stake'], 2)
elif float(row[8]) < 1.51:
odd_value_intervals['Odd <1.50 / Value 1.01-1.50']['units'] += round(units_pick, 2)
odd_value_intervals['Odd <1.50 / Value 1.01-1.50']['stake'] += 1
odd_value_intervals['Odd <1.50 / Value 1.01-1.50']['yield'] = round(odd_value_intervals['Odd <1.50 / Value 1.01-1.50']['units'] * 100 / odd_value_intervals['Odd <1.50 / Value 1.01-1.50']['stake'], 2)
elif float(row[8]) < 2.01:
odd_value_intervals['Odd <1.50 / Value 1.51-2.00']['units'] += round(units_pick, 2)
odd_value_intervals['Odd <1.50 / Value 1.51-2.00']['stake'] += 1
odd_value_intervals['Odd <1.50 / Value 1.51-2.00']['yield'] = round(odd_value_intervals['Odd <1.50 / Value 1.51-2.00']['units'] * 100 / odd_value_intervals['Odd <1.50 / Value 1.51-2.00']['stake'], 2)
elif float(row[8]) < 2.51:
odd_value_intervals['Odd <1.50 / Value 2.01-2.50']['units'] += round(units_pick, 2)
odd_value_intervals['Odd <1.50 / Value 2.01-2.50']['stake'] += 1
odd_value_intervals['Odd <1.50 / Value 2.01-2.50']['yield'] = round(odd_value_intervals['Odd <1.50 / Value 2.01-2.50']['units'] * 100 / odd_value_intervals['Odd <1.50 / Value 2.01-2.50']['stake'], 2)
elif float(row[8]) < 3.01:
odd_value_intervals['Odd <1.50 / Value 2.51-3.00']['units'] += round(units_pick, 2)
odd_value_intervals['Odd <1.50 / Value 2.51-3.00']['stake'] += 1
odd_value_intervals['Odd <1.50 / Value 2.51-3.00']['yield'] = round(odd_value_intervals['Odd <1.50 / Value 2.51-3.00']['units'] * 100 / odd_value_intervals['Odd <1.50 / Value 2.51-3.00']['stake'], 2)
else:
odd_value_intervals['Odd <1.50 / Value >3.00']['units'] += round(units_pick, 2)
odd_value_intervals['Odd <1.50 / Value >3.00']['stake'] += 1
odd_value_intervals['Odd <1.50 / Value >3.00']['yield'] = round(odd_value_intervals['Odd <1.50 / Value >3.00']['units'] * 100 / odd_value_intervals['Odd <1.50 / Value >3.00']['stake'], 2)
elif float(units_pick) < 1.00:
intervals['1.50-1.99']['units'] += round(units_pick, 2)
intervals['1.50-1.99']['stake'] += 1
intervals['1.50-1.99']['yield'] = round(intervals['1.50-1.99']['units'] * 100 / intervals['1.50-1.99']['stake'], 2)
if float(row[8]) < 1.01:
odd_value_intervals['Odd 1.50-1.99 / Value <1.01']['units'] += round(units_pick, 2)
odd_value_intervals['Odd 1.50-1.99 / Value <1.01']['stake'] += 1
odd_value_intervals['Odd 1.50-1.99 / Value <1.01']['yield'] = round(odd_value_intervals['Odd 1.50-1.99 / Value <1.01']['units'] * 100 / odd_value_intervals['Odd 1.50-1.99 / Value <1.01']['stake'], 2)
elif float(row[8]) < 1.51:
odd_value_intervals['Odd 1.50-1.99 / Value 1.01-1.50']['units'] += round(units_pick, 2)
odd_value_intervals['Odd 1.50-1.99 / Value 1.01-1.50']['stake'] += 1
odd_value_intervals['Odd 1.50-1.99 / Value 1.01-1.50']['yield'] = round(odd_value_intervals['Odd 1.50-1.99 / Value 1.01-1.50']['units'] * 100 / odd_value_intervals['Odd 1.50-1.99 / Value 1.01-1.50']['stake'], 2)
elif float(row[8]) < 2.01:
odd_value_intervals['Odd 1.50-1.99 / Value 1.51-2.00']['units'] += round(units_pick, 2)
odd_value_intervals['Odd 1.50-1.99 / Value 1.51-2.00']['stake'] += 1
odd_value_intervals['Odd 1.50-1.99 / Value 1.51-2.00']['yield'] = round(odd_value_intervals['Odd 1.50-1.99 / Value 1.51-2.00']['units'] * 100 / odd_value_intervals['Odd 1.50-1.99 / Value 1.51-2.00']['stake'], 2)
elif float(row[8]) < 2.51:
odd_value_intervals['Odd 1.50-1.99 / Value 2.01-2.50']['units'] += round(units_pick, 2)
odd_value_intervals['Odd 1.50-1.99 / Value 2.01-2.50']['stake'] += 1
odd_value_intervals['Odd 1.50-1.99 / Value 2.01-2.50']['yield'] = round(odd_value_intervals['Odd 1.50-1.99 / Value 2.01-2.50']['units'] * 100 / odd_value_intervals['Odd 1.50-1.99 / Value 2.01-2.50']['stake'], 2)
elif float(row[8]) < 3.01:
odd_value_intervals['Odd 1.50-1.99 / Value 2.51-3.00']['units'] += round(units_pick, 2)
odd_value_intervals['Odd 1.50-1.99 / Value 2.51-3.00']['stake'] += 1
odd_value_intervals['Odd 1.50-1.99 / Value 2.51-3.00']['yield'] = round(odd_value_intervals['Odd 1.50-1.99 / Value 2.51-3.00']['units'] * 100 / odd_value_intervals['Odd 1.50-1.99 / Value 2.51-3.00']['stake'], 2)
else:
odd_value_intervals['Odd 1.50-1.99 / Value >3.00']['units'] += round(units_pick, 2)
odd_value_intervals['Odd 1.50-1.99 / Value >3.00']['stake'] += 1
odd_value_intervals['Odd 1.50-1.99 / Value >3.00']['yield'] = round(odd_value_intervals['Odd 1.50-1.99 / Value >3.00']['units'] * 100 / odd_value_intervals['Odd 1.50-1.99 / Value >3.00']['stake'], 2)
elif float(units_pick) < 1.50:
intervals['2.00-2.49']['units'] += round(units_pick, 2)
intervals['2.00-2.49']['stake'] += 1
intervals['2.00-2.49']['yield'] = round(intervals['2.00-2.49']['units'] * 100 / intervals['2.00-2.49']['stake'], 2)
if float(row[8]) < 1.01:
odd_value_intervals['Odd 2.00-2.49 / Value <1.01']['units'] += round(units_pick, 2)
odd_value_intervals['Odd 2.00-2.49 / Value <1.01']['stake'] += 1
odd_value_intervals['Odd 2.00-2.49 / Value <1.01']['yield'] = round(odd_value_intervals['Odd 2.00-2.49 / Value <1.01']['units'] * 100 / odd_value_intervals['Odd 2.00-2.49 / Value <1.01']['stake'], 2)
elif float(row[8]) < 1.51:
odd_value_intervals['Odd 2.00-2.49 / Value 1.01-1.50']['units'] += round(units_pick, 2)
odd_value_intervals['Odd 2.00-2.49 / Value 1.01-1.50']['stake'] += 1
odd_value_intervals['Odd 2.00-2.49 / Value 1.01-1.50']['yield'] = round(odd_value_intervals['Odd 2.00-2.49 / Value 1.01-1.50']['units'] * 100 / odd_value_intervals['Odd 2.00-2.49 / Value 1.01-1.50']['stake'], 2)
elif float(row[8]) < 2.01:
odd_value_intervals['Odd 2.00-2.49 / Value 1.51-2.00']['units'] += round(units_pick, 2)
odd_value_intervals['Odd 2.00-2.49 / Value 1.51-2.00']['stake'] += 1
odd_value_intervals['Odd 2.00-2.49 / Value 1.51-2.00']['yield'] = round(odd_value_intervals['Odd 2.00-2.49 / Value 1.51-2.00']['units'] * 100 / odd_value_intervals['Odd 2.00-2.49 / Value 1.51-2.00']['stake'], 2)
elif float(row[8]) < 2.51:
odd_value_intervals['Odd 2.00-2.49 / Value 2.01-2.50']['units'] += round(units_pick, 2)
odd_value_intervals['Odd 2.00-2.49 / Value 2.01-2.50']['stake'] += 1
odd_value_intervals['Odd 2.00-2.49 / Value 2.01-2.50']['yield'] = round(odd_value_intervals['Odd 2.00-2.49 / Value 2.01-2.50']['units'] * 100 / odd_value_intervals['Odd 2.00-2.49 / Value 2.01-2.50']['stake'], 2)
elif float(row[8]) < 3.01:
odd_value_intervals['Odd 2.00-2.49 / Value 2.51-3.00']['units'] += round(units_pick, 2)
odd_value_intervals['Odd 2.00-2.49 / Value 2.51-3.00']['stake'] += 1
odd_value_intervals['Odd 2.00-2.49 / Value 2.51-3.00']['yield'] = round(odd_value_intervals['Odd 2.00-2.49 / Value 2.51-3.00']['units'] * 100 / odd_value_intervals['Odd 2.00-2.49 / Value 2.51-3.00']['stake'], 2)
else:
odd_value_intervals['Odd 2.00-2.49 / Value >3.00']['units'] += round(units_pick, 2)
odd_value_intervals['Odd 2.00-2.49 / Value >3.00']['stake'] += 1
odd_value_intervals['Odd 2.00-2.49 / Value >3.00']['yield'] = round(odd_value_intervals['Odd 2.00-2.49 / Value >3.00']['units'] * 100 / odd_value_intervals['Odd 2.00-2.49 / Value >3.00']['stake'], 2)
elif float(units_pick) < 2.00:
intervals['2.50-2.99']['units'] += round(units_pick, 2)
intervals['2.50-2.99']['stake'] += 1
intervals['2.50-2.99']['yield'] = round(intervals['2.50-2.99']['units'] * 100 / intervals['2.50-2.99']['stake'], 2)
if float(row[8]) < 1.01:
odd_value_intervals['Odd 2.50-2.99 / Value <1.01']['units'] += round(units_pick, 2)
odd_value_intervals['Odd 2.50-2.99 / Value <1.01']['stake'] += 1
odd_value_intervals['Odd 2.50-2.99 / Value <1.01']['yield'] = round(odd_value_intervals['Odd 2.50-2.99 / Value <1.01']['units'] * 100 / odd_value_intervals['Odd 2.50-2.99 / Value <1.01']['stake'], 2)
elif float(row[8]) < 1.51:
odd_value_intervals['Odd 2.50-2.99 / Value 1.01-1.50']['units'] += round(units_pick, 2)
odd_value_intervals['Odd 2.50-2.99 / Value 1.01-1.50']['stake'] += 1
odd_value_intervals['Odd 2.50-2.99 / Value 1.01-1.50']['yield'] = round(odd_value_intervals['Odd 2.50-2.99 / Value 1.01-1.50']['units'] * 100 / odd_value_intervals['Odd 2.50-2.99 / Value 1.01-1.50']['stake'], 2)
elif float(row[8]) < 2.01:
odd_value_intervals['Odd 2.50-2.99 / Value 1.51-2.00']['units'] += round(units_pick, 2)
odd_value_intervals['Odd 2.50-2.99 / Value 1.51-2.00']['stake'] += 1
odd_value_intervals['Odd 2.50-2.99 / Value 1.51-2.00']['yield'] = round(odd_value_intervals['Odd 2.50-2.99 / Value 1.51-2.00']['units'] * 100 / odd_value_intervals['Odd 2.50-2.99 / Value 1.51-2.00']['stake'], 2)
elif float(row[8]) < 2.51:
odd_value_intervals['Odd 2.50-2.99 / Value 2.01-2.50']['units'] += round(units_pick, 2)
odd_value_intervals['Odd 2.50-2.99 / Value 2.01-2.50']['stake'] += 1
odd_value_intervals['Odd 2.50-2.99 / Value 2.01-2.50']['yield'] = round(odd_value_intervals['Odd 2.50-2.99 / Value 2.01-2.50']['units'] * 100 / odd_value_intervals['Odd 2.50-2.99 / Value 2.01-2.50']['stake'], 2)
elif float(row[8]) < 3.01:
odd_value_intervals['Odd 2.50-2.99 / Value 2.51-3.00']['units'] += round(units_pick, 2)
odd_value_intervals['Odd 2.50-2.99 / Value 2.51-3.00']['stake'] += 1
odd_value_intervals['Odd 2.50-2.99 / Value 2.51-3.00']['yield'] = round(odd_value_intervals['Odd 2.50-2.99 / Value 2.51-3.00']['units'] * 100 / odd_value_intervals['Odd 2.50-2.99 / Value 2.51-3.00']['stake'], 2)
else:
odd_value_intervals['Odd 2.50-2.99 / Value >3.00']['units'] += round(units_pick, 2)
odd_value_intervals['Odd 2.50-2.99 / Value >3.00']['stake'] += 1
odd_value_intervals['Odd 2.50-2.99 / Value >3.00']['yield'] = round(odd_value_intervals['Odd 2.50-2.99 / Value >3.00']['units'] * 100 / odd_value_intervals['Odd 2.50-2.99 / Value >3.00']['stake'], 2)
else:
intervals['>2.99']['units'] += round(units_pick, 2)
intervals['>2.99']['stake'] += 1
intervals['>2.99']['yield'] = round(intervals['>2.99']['units'] * 100 / intervals['>2.99']['stake'], 2)
if float(row[8]) < 1.01:
odd_value_intervals['Odd >2.99 / Value <1.01']['units'] += round(units_pick, 2)
odd_value_intervals['Odd >2.99 / Value <1.01']['stake'] += 1
odd_value_intervals['Odd >2.99 / Value <1.01']['yield'] = round(odd_value_intervals['Odd >2.99 / Value <1.01']['units'] * 100 / odd_value_intervals['Odd >2.99 / Value <1.01']['stake'], 2)
elif float(row[8]) < 1.51:
odd_value_intervals['Odd >2.99 / Value 1.01-1.50']['units'] += round(units_pick, 2)
odd_value_intervals['Odd >2.99 / Value 1.01-1.50']['stake'] += 1
odd_value_intervals['Odd >2.99 / Value 1.01-1.50']['yield'] = round(odd_value_intervals['Odd >2.99 / Value 1.01-1.50']['units'] * 100 / odd_value_intervals['Odd >2.99 / Value 1.01-1.50']['stake'], 2)
elif float(row[8]) < 2.01:
odd_value_intervals['Odd >2.99 / Value 1.51-2.00']['units'] += round(units_pick, 2)
odd_value_intervals['Odd >2.99 / Value 1.51-2.00']['stake'] += 1
odd_value_intervals['Odd >2.99 / Value 1.51-2.00']['yield'] = round(odd_value_intervals['Odd >2.99 / Value 1.51-2.00']['units'] * 100 / odd_value_intervals['Odd >2.99 / Value 1.51-2.00']['stake'], 2)
elif float(row[8]) < 2.51:
odd_value_intervals['Odd >2.99 / Value 2.01-2.50']['units'] += round(units_pick, 2)
odd_value_intervals['Odd >2.99 / Value 2.01-2.50']['stake'] += 1
odd_value_intervals['Odd >2.99 / Value 2.01-2.50']['yield'] = round(odd_value_intervals['Odd >2.99 / Value 2.01-2.50']['units'] * 100 / odd_value_intervals['Odd >2.99 / Value 2.01-2.50']['stake'], 2)
elif float(row[8]) < 3.01:
odd_value_intervals['Odd >2.99 / Value 2.51-3.00']['units'] += round(units_pick, 2)
odd_value_intervals['Odd >2.99 / Value 2.51-3.00']['stake'] += 1
odd_value_intervals['Odd >2.99 / Value 2.51-3.00']['yield'] = round(odd_value_intervals['Odd >2.99 / Value 2.51-3.00']['units'] * 100 / odd_value_intervals['Odd >2.99 / Value 2.51-3.00']['stake'], 2)
else:
odd_value_intervals['Odd >2.99 / Value >3.00']['units'] += round(units_pick, 2)
odd_value_intervals['Odd >2.99 / Value >3.00']['stake'] += 1
odd_value_intervals['Odd >2.99 / Value >3.00']['yield'] = round(odd_value_intervals['Odd >2.99 / Value >3.00']['units'] * 100 / odd_value_intervals['Odd >2.99 / Value >3.00']['stake'], 2)
# Value intervals
if float(row[8]) < 1.01:
value_intervals['<1.01']['units'] += round(units_pick, 2)
value_intervals['<1.01']['stake'] += 1
value_intervals['<1.01']['yield'] = round(value_intervals['<1.01']['units'] * 100 / value_intervals['<1.01']['stake'], 2)
elif float(row[8]) < 1.51:
value_intervals['1.01-1.50']['units'] += round(units_pick, 2)
value_intervals['1.01-1.50']['stake'] += 1
value_intervals['1.01-1.50']['yield'] = round(value_intervals['1.01-1.50']['units'] * 100 / value_intervals['1.01-1.50']['stake'], 2)
elif float(row[8]) < 2.01:
value_intervals['1.51-2.00']['units'] += round(units_pick, 2)
value_intervals['1.51-2.00']['stake'] += 1
value_intervals['1.51-2.00']['yield'] = round(value_intervals['1.51-2.00']['units'] * 100 / value_intervals['1.51-2.00']['stake'], 2)
elif float(row[8]) < 2.51:
value_intervals['2.01-2.50']['units'] += round(units_pick, 2)
value_intervals['2.01-2.50']['stake'] += 1
value_intervals['2.01-2.50']['yield'] = round(value_intervals['2.01-2.50']['units'] * 100 / value_intervals['2.01-2.50']['stake'], 2)
elif float(row[8]) < 3.01:
value_intervals['2.51-3.00']['units'] += round(units_pick, 2)
value_intervals['2.51-3.00']['stake'] += 1
value_intervals['2.51-3.00']['yield'] = round(value_intervals['2.51-3.00']['units'] * 100 / value_intervals['2.51-3.00']['stake'], 2)
else:
value_intervals['>3.00']['units'] += round(units_pick, 2)
value_intervals['>3.00']['stake'] += 1
value_intervals['>3.00']['yield'] = round(value_intervals['>3.00']['units'] * 100 / value_intervals['>3.00']['stake'], 2)
else:
row.append(Color('{autored}L{/autored}'))
row.append(-1)
units -= 1
# Odds intervals
if float(units_pick) < 0.50:
intervals['<1.50']['units'] -= 1
intervals['<1.50']['stake'] += 1
intervals['<1.50']['yield'] = round(intervals['<1.50']['units'] * 100 / intervals['<1.50']['stake'], 2)
if float(row[8]) < 1.01:
odd_value_intervals['Odd <1.50 / Value <1.01']['units'] -= 1
odd_value_intervals['Odd <1.50 / Value <1.01']['stake'] += 1
odd_value_intervals['Odd <1.50 / Value <1.01']['yield'] = round(odd_value_intervals['Odd <1.50 / Value <1.01']['units'] * 100 / odd_value_intervals['Odd <1.50 / Value <1.01']['stake'], 2)
elif float(row[8]) < 1.51:
odd_value_intervals['Odd <1.50 / Value 1.01-1.50']['units'] -= 1
odd_value_intervals['Odd <1.50 / Value 1.01-1.50']['stake'] += 1
odd_value_intervals['Odd <1.50 / Value 1.01-1.50']['yield'] = round(odd_value_intervals['Odd <1.50 / Value 1.01-1.50']['units'] * 100 / odd_value_intervals['Odd <1.50 / Value 1.01-1.50']['stake'], 2)
elif float(row[8]) < 2.01:
odd_value_intervals['Odd <1.50 / Value 1.51-2.00']['units'] -= 1
odd_value_intervals['Odd <1.50 / Value 1.51-2.00']['stake'] += 1
odd_value_intervals['Odd <1.50 / Value 1.51-2.00']['yield'] = round(odd_value_intervals['Odd <1.50 / Value 1.51-2.00']['units'] * 100 / odd_value_intervals['Odd <1.50 / Value 1.51-2.00']['stake'], 2)
elif float(row[8]) < 2.51:
odd_value_intervals['Odd <1.50 / Value 2.01-2.50']['units'] -= 1
odd_value_intervals['Odd <1.50 / Value 2.01-2.50']['stake'] += 1
odd_value_intervals['Odd <1.50 / Value 2.01-2.50']['yield'] = round(odd_value_intervals['Odd <1.50 / Value 2.01-2.50']['units'] * 100 / odd_value_intervals['Odd <1.50 / Value 2.01-2.50']['stake'], 2)
elif float(row[8]) < 3.01:
odd_value_intervals['Odd <1.50 / Value 2.51-3.00']['units'] -= 1
odd_value_intervals['Odd <1.50 / Value 2.51-3.00']['stake'] += 1
odd_value_intervals['Odd <1.50 / Value 2.51-3.00']['yield'] = round(odd_value_intervals['Odd <1.50 / Value 2.51-3.00']['units'] * 100 / odd_value_intervals['Odd <1.50 / Value 2.51-3.00']['stake'], 2)
else:
odd_value_intervals['Odd <1.50 / Value >3.00']['units'] -= 1
odd_value_intervals['Odd <1.50 / Value >3.00']['stake'] += 1
odd_value_intervals['Odd <1.50 / Value >3.00']['yield'] = round(odd_value_intervals['Odd <1.50 / Value >3.00']['units'] * 100 / odd_value_intervals['Odd <1.50 / Value >3.00']['stake'], 2)
elif float(units_pick) < 1.00:
intervals['1.50-1.99']['units'] -= 1
intervals['1.50-1.99']['stake'] += 1
intervals['1.50-1.99']['yield'] = round(intervals['1.50-1.99']['units'] * 100 / intervals['1.50-1.99']['stake'], 2)
if float(row[8]) < 1.01:
odd_value_intervals['Odd 1.50-1.99 / Value <1.01']['units'] -= 1
odd_value_intervals['Odd 1.50-1.99 / Value <1.01']['stake'] += 1
odd_value_intervals['Odd 1.50-1.99 / Value <1.01']['yield'] = round(odd_value_intervals['Odd 1.50-1.99 / Value <1.01']['units'] * 100 / odd_value_intervals['Odd 1.50-1.99 / Value <1.01']['stake'], 2)
elif float(row[8]) < 1.51:
odd_value_intervals['Odd 1.50-1.99 / Value 1.01-1.50']['units'] -= 1
odd_value_intervals['Odd 1.50-1.99 / Value 1.01-1.50']['stake'] += 1
odd_value_intervals['Odd 1.50-1.99 / Value 1.01-1.50']['yield'] = round(odd_value_intervals['Odd 1.50-1.99 / Value 1.01-1.50']['units'] * 100 / odd_value_intervals['Odd 1.50-1.99 / Value 1.01-1.50']['stake'], 2)
elif float(row[8]) < 2.01:
odd_value_intervals['Odd 1.50-1.99 / Value 1.51-2.00']['units'] -= 1
odd_value_intervals['Odd 1.50-1.99 / Value 1.51-2.00']['stake'] += 1
odd_value_intervals['Odd 1.50-1.99 / Value 1.51-2.00']['yield'] = round(odd_value_intervals['Odd 1.50-1.99 / Value 1.51-2.00']['units'] * 100 / odd_value_intervals['Odd 1.50-1.99 / Value 1.51-2.00']['stake'], 2)
elif float(row[8]) < 2.51:
odd_value_intervals['Odd 1.50-1.99 / Value 2.01-2.50']['units'] -= 1
odd_value_intervals['Odd 1.50-1.99 / Value 2.01-2.50']['stake'] += 1
odd_value_intervals['Odd 1.50-1.99 / Value 2.01-2.50']['yield'] = round(odd_value_intervals['Odd 1.50-1.99 / Value 2.01-2.50']['units'] * 100 / odd_value_intervals['Odd 1.50-1.99 / Value 2.01-2.50']['stake'], 2)
elif float(row[8]) < 3.01:
odd_value_intervals['Odd 1.50-1.99 / Value 2.51-3.00']['units'] -= 1
odd_value_intervals['Odd 1.50-1.99 / Value 2.51-3.00']['stake'] += 1
odd_value_intervals['Odd 1.50-1.99 / Value 2.51-3.00']['yield'] = round(odd_value_intervals['Odd 1.50-1.99 / Value 2.51-3.00']['units'] * 100 / odd_value_intervals['Odd 1.50-1.99 / Value 2.51-3.00']['stake'], 2)
else:
odd_value_intervals['Odd 1.50-1.99 / Value >3.00']['units'] -= 1
odd_value_intervals['Odd 1.50-1.99 / Value >3.00']['stake'] += 1
odd_value_intervals['Odd 1.50-1.99 / Value >3.00']['yield'] = round(odd_value_intervals['Odd 1.50-1.99 / Value >3.00']['units'] * 100 / odd_value_intervals['Odd 1.50-1.99 / Value >3.00']['stake'], 2)
elif float(units_pick) < 1.50:
intervals['2.00-2.49']['units'] -= 1
intervals['2.00-2.49']['stake'] += 1
intervals['2.00-2.49']['yield'] = round(intervals['2.00-2.49']['units'] * 100 / intervals['2.00-2.49']['stake'], 2)
if float(row[8]) < 1.01:
odd_value_intervals['Odd 2.00-2.49 / Value <1.01']['units'] -= 1
odd_value_intervals['Odd 2.00-2.49 / Value <1.01']['stake'] += 1
odd_value_intervals['Odd 2.00-2.49 / Value <1.01']['yield'] = round(odd_value_intervals['Odd 2.00-2.49 / Value <1.01']['units'] * 100 / odd_value_intervals['Odd 2.00-2.49 / Value <1.01']['stake'], 2)
elif float(row[8]) < 1.51:
odd_value_intervals['Odd 2.00-2.49 / Value 1.01-1.50']['units'] -= 1
odd_value_intervals['Odd 2.00-2.49 / Value 1.01-1.50']['stake'] += 1
odd_value_intervals['Odd 2.00-2.49 / Value 1.01-1.50']['yield'] = round(odd_value_intervals['Odd 2.00-2.49 / Value 1.01-1.50']['units'] * 100 / odd_value_intervals['Odd 2.00-2.49 / Value 1.01-1.50']['stake'], 2)
elif float(row[8]) < 2.01:
odd_value_intervals['Odd 2.00-2.49 / Value 1.51-2.00']['units'] -= 1
odd_value_intervals['Odd 2.00-2.49 / Value 1.51-2.00']['stake'] += 1
odd_value_intervals['Odd 2.00-2.49 / Value 1.51-2.00']['yield'] = round(odd_value_intervals['Odd 2.00-2.49 / Value 1.51-2.00']['units'] * 100 / odd_value_intervals['Odd 2.00-2.49 / Value 1.51-2.00']['stake'], 2)
elif float(row[8]) < 2.51:
odd_value_intervals['Odd 2.00-2.49 / Value 2.01-2.50']['units'] -= 1
odd_value_intervals['Odd 2.00-2.49 / Value 2.01-2.50']['stake'] += 1
odd_value_intervals['Odd 2.00-2.49 / Value 2.01-2.50']['yield'] = round(odd_value_intervals['Odd 2.00-2.49 / Value 2.01-2.50']['units'] * 100 / odd_value_intervals['Odd 2.00-2.49 / Value 2.01-2.50']['stake'], 2)
elif float(row[8]) < 3.01:
odd_value_intervals['Odd 2.00-2.49 / Value 2.51-3.00']['units'] -= 1
odd_value_intervals['Odd 2.00-2.49 / Value 2.51-3.00']['stake'] += 1
odd_value_intervals['Odd 2.00-2.49 / Value 2.51-3.00']['yield'] = round(odd_value_intervals['Odd 2.00-2.49 / Value 2.51-3.00']['units'] * 100 / odd_value_intervals['Odd 2.00-2.49 / Value 2.51-3.00']['stake'], 2)
else:
odd_value_intervals['Odd 2.00-2.49 / Value >3.00']['units'] -= 1
odd_value_intervals['Odd 2.00-2.49 / Value >3.00']['stake'] += 1
odd_value_intervals['Odd 2.00-2.49 / Value >3.00']['yield'] = round(odd_value_intervals['Odd 2.00-2.49 / Value >3.00']['units'] * 100 / odd_value_intervals['Odd 2.00-2.49 / Value >3.00']['stake'], 2)
elif float(units_pick) < 2.00:
intervals['2.50-2.99']['units'] -= 1
intervals['2.50-2.99']['stake'] += 1
intervals['2.50-2.99']['yield'] = round(intervals['2.50-2.99']['units'] * 100 / intervals['2.50-2.99']['stake'], 2)
if float(row[8]) < 1.01:
odd_value_intervals['Odd 2.50-2.99 / Value <1.01']['units'] -= 1
odd_value_intervals['Odd 2.50-2.99 / Value <1.01']['stake'] += 1
odd_value_intervals['Odd 2.50-2.99 / Value <1.01']['yield'] = round(odd_value_intervals['Odd 2.50-2.99 / Value <1.01']['units'] * 100 / odd_value_intervals['Odd 2.50-2.99 / Value <1.01']['stake'], 2)
elif float(row[8]) < 1.51:
odd_value_intervals['Odd 2.50-2.99 / Value 1.01-1.50']['units'] -= 1
odd_value_intervals['Odd 2.50-2.99 / Value 1.01-1.50']['stake'] += 1
odd_value_intervals['Odd 2.50-2.99 / Value 1.01-1.50']['yield'] = round(odd_value_intervals['Odd 2.50-2.99 / Value 1.01-1.50']['units'] * 100 / odd_value_intervals['Odd 2.50-2.99 / Value 1.01-1.50']['stake'], 2)
elif float(row[8]) < 2.01:
odd_value_intervals['Odd 2.50-2.99 / Value 1.51-2.00']['units'] -= 1
odd_value_intervals['Odd 2.50-2.99 / Value 1.51-2.00']['stake'] += 1
odd_value_intervals['Odd 2.50-2.99 / Value 1.51-2.00']['yield'] = round(odd_value_intervals['Odd 2.50-2.99 / Value 1.51-2.00']['units'] * 100 / odd_value_intervals['Odd 2.50-2.99 / Value 1.51-2.00']['stake'], 2)
elif float(row[8]) < 2.51:
odd_value_intervals['Odd 2.50-2.99 / Value 2.01-2.50']['units'] -= 1
odd_value_intervals['Odd 2.50-2.99 / Value 2.01-2.50']['stake'] += 1
odd_value_intervals['Odd 2.50-2.99 / Value 2.01-2.50']['yield'] = round(odd_value_intervals['Odd 2.50-2.99 / Value 2.01-2.50']['units'] * 100 / odd_value_intervals['Odd 2.50-2.99 / Value 2.01-2.50']['stake'], 2)
elif float(row[8]) < 3.01:
odd_value_intervals['Odd 2.50-2.99 / Value 2.51-3.00']['units'] -= 1
odd_value_intervals['Odd 2.50-2.99 / Value 2.51-3.00']['stake'] += 1
odd_value_intervals['Odd 2.50-2.99 / Value 2.51-3.00']['yield'] = round(odd_value_intervals['Odd 2.50-2.99 / Value 2.51-3.00']['units'] * 100 / odd_value_intervals['Odd 2.50-2.99 / Value 2.51-3.00']['stake'], 2)
else:
odd_value_intervals['Odd 2.50-2.99 / Value >3.00']['units'] -= 1
odd_value_intervals['Odd 2.50-2.99 / Value >3.00']['stake'] += 1
odd_value_intervals['Odd 2.50-2.99 / Value >3.00']['yield'] = round(odd_value_intervals['Odd 2.50-2.99 / Value >3.00']['units'] * 100 / odd_value_intervals['Odd 2.50-2.99 / Value >3.00']['stake'], 2)
else:
intervals['>2.99']['units'] -= 1
intervals['>2.99']['stake'] += 1
intervals['>2.99']['yield'] = round(intervals['>2.99']['units'] * 100 / intervals['>2.99']['stake'], 2)
if float(row[8]) < 1.01:
odd_value_intervals['Odd >2.99 / Value <1.01']['units'] -= 1
odd_value_intervals['Odd >2.99 / Value <1.01']['stake'] += 1
odd_value_intervals['Odd >2.99 / Value <1.01']['yield'] = round(odd_value_intervals['Odd >2.99 / Value <1.01']['units'] * 100 / odd_value_intervals['Odd >2.99 / Value <1.01']['stake'], 2)
elif float(row[8]) < 1.51:
odd_value_intervals['Odd >2.99 / Value 1.01-1.50']['units'] -= 1
odd_value_intervals['Odd >2.99 / Value 1.01-1.50']['stake'] += 1
odd_value_intervals['Odd >2.99 / Value 1.01-1.50']['yield'] = round(odd_value_intervals['Odd >2.99 / Value 1.01-1.50']['units'] * 100 / odd_value_intervals['Odd >2.99 / Value 1.01-1.50']['stake'], 2)
elif float(row[8]) < 2.01:
odd_value_intervals['Odd >2.99 / Value 1.51-2.00']['units'] -= 1
odd_value_intervals['Odd >2.99 / Value 1.51-2.00']['stake'] += 1
odd_value_intervals['Odd >2.99 / Value 1.51-2.00']['yield'] = round(odd_value_intervals['Odd >2.99 / Value 1.51-2.00']['units'] * 100 / odd_value_intervals['Odd >2.99 / Value 1.51-2.00']['stake'], 2)
elif float(row[8]) < 2.51:
odd_value_intervals['Odd >2.99 / Value 2.01-2.50']['units'] -= 1
odd_value_intervals['Odd >2.99 / Value 2.01-2.50']['stake'] += 1
odd_value_intervals['Odd >2.99 / Value 2.01-2.50']['yield'] = round(odd_value_intervals['Odd >2.99 / Value 2.01-2.50']['units'] * 100 / odd_value_intervals['Odd >2.99 / Value 2.01-2.50']['stake'], 2)
elif float(row[8]) < 3.01:
odd_value_intervals['Odd >2.99 / Value 2.51-3.00']['units'] -= 1
odd_value_intervals['Odd >2.99 / Value 2.51-3.00']['stake'] += 1
odd_value_intervals['Odd >2.99 / Value 2.51-3.00']['yield'] = round(odd_value_intervals['Odd >2.99 / Value 2.51-3.00']['units'] * 100 / odd_value_intervals['Odd >2.99 / Value 2.51-3.00']['stake'], 2)
else:
odd_value_intervals['Odd >2.99 / Value >3.00']['units'] -= 1
odd_value_intervals['Odd >2.99 / Value >3.00']['stake'] += 1
odd_value_intervals['Odd >2.99 / Value >3.00']['yield'] = round(odd_value_intervals['Odd >2.99 / Value >3.00']['units'] * 100 / odd_value_intervals['Odd >2.99 / Value >3.00']['stake'], 2)
# Value intervals
if float(row[8]) < 1.01:
value_intervals['<1.01']['units'] -= 1
value_intervals['<1.01']['stake'] += 1
value_intervals['<1.01']['yield'] = round(value_intervals['<1.01']['units'] * 100 / value_intervals['<1.01']['stake'], 2)
elif float(row[8]) < 1.51:
value_intervals['1.01-1.50']['units'] -= 1
value_intervals['1.01-1.50']['stake'] += 1
value_intervals['1.01-1.50']['yield'] = round(value_intervals['1.01-1.50']['units'] * 100 / value_intervals['1.01-1.50']['stake'], 2)
elif float(row[8]) < 2.01:
value_intervals['1.51-2.00']['units'] -= 1
value_intervals['1.51-2.00']['stake'] += 1
value_intervals['1.51-2.00']['yield'] = round(value_intervals['1.51-2.00']['units'] * 100 / value_intervals['1.51-2.00']['stake'], 2)
elif float(row[8]) < 2.51:
value_intervals['2.01-2.50']['units'] -= 1
value_intervals['2.01-2.50']['stake'] += 1
value_intervals['2.01-2.50']['yield'] = round(value_intervals['2.01-2.50']['units'] * 100 / value_intervals['2.01-2.50']['stake'], 2)
elif float(row[8]) < 3.01:
value_intervals['2.51-3.00']['units'] -= 1
value_intervals['2.51-3.00']['stake'] += 1
value_intervals['2.51-3.00']['yield'] = round(value_intervals['2.51-3.00']['units'] * 100 / value_intervals['2.51-3.00']['stake'], 2)
else:
value_intervals['>3.00']['units'] -= 1
value_intervals['>3.00']['stake'] += 1
value_intervals['>3.00']['yield'] = round(value_intervals['>3.00']['units'] * 100 / value_intervals['>3.00']['stake'], 2)
row.append(coef[0])
prediction_table.append(row)
index += 1
table_instance = SingleTable(prediction_table, Color('{autocyan} Prediction with new games {/autocyan}'))
table_instance.inner_heading_row_border = False
table_instance.inner_row_border = True
table_instance.justify_columns = {0: 'left', 1: 'center', 2: 'center', 3: 'center', 4: 'center', 5: 'center', 6: 'left', 7: 'center', 8: 'center', 9: 'center', 10: 'center', 11: 'center'}
print("\n" + table_instance.table)
print("\n" + Color('{autogreen}Units: {/autogreen}') + str(round(units, 2)))
print(Color('{autogreen}Hits: {/autogreen}') + str(hits))
print(Color('{autogreen}Stake: {/autogreen}') + str(stake))
print(Color('{autogreen}Yield: {/autogreen}') + str(round(units * 100 / stake, 2)) + "%")
print(Color('{autogreen}Different probabilities: {/autogreen}') + str(len(different_probs)))
print(Color('{autogreen}Value intervals: {/autogreen}'))
pprint(value_intervals)
print(Color('{autogreen}Odd intervals: {/autogreen}'))
pprint(intervals)
print(Color('{autogreen}Odd/Value intervals: {/autogreen}'))
pprint(odd_value_intervals)
# Gràfica
plt.figure("The Beast Training")
plt.title("Test 22/04/2019")
index = 0
axes = []
while index < num_epochs:
axes.append(index)
index += (num_epochs / 200)
plt.plot(axes, values)
plt.plot(axes, values_predicted, color='r')
plt.ylim([0, 100])
plt.xlim([0, num_epochs])
plt.ylabel('Error')
plt.xlabel('Training Time')
plt.tight_layout()
plt.show()
# Mostrar pesos
#nn.print_weights()
| 59.372477 | 836 | 0.531754 | 9,652 | 64,716 | 3.434625 | 0.034397 | 0.18286 | 0.15538 | 0.181593 | 0.867153 | 0.850925 | 0.838949 | 0.825435 | 0.813671 | 0.807638 | 0 | 0.137416 | 0.276176 | 64,716 | 1,089 | 837 | 59.426997 | 0.570288 | 0.006783 | 0 | 0.658281 | 0 | 0.001048 | 0.268343 | 0.010698 | 0 | 0 | 0 | 0 | 0 | 1 | 0.009434 | false | 0 | 0.007338 | 0.005241 | 0.024109 | 0.030398 | 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 |
540f623a46176a08f9103787e1534833fc0a6193 | 203 | py | Python | src/spaceone/inventory/manager/__init__.py | spaceone-dev/plugin-aws-state-inven-collector | 9e766c36e9d5bb0bc805d10386b5ca64584fb5a6 | [
"Apache-2.0"
] | 1 | 2021-01-15T08:04:30.000Z | 2021-01-15T08:04:30.000Z | src/spaceone/inventory/manager/__init__.py | spaceone-dev/plugin-aws-state-inven-collector | 9e766c36e9d5bb0bc805d10386b5ca64584fb5a6 | [
"Apache-2.0"
] | 3 | 2020-10-21T09:08:04.000Z | 2021-04-27T06:51:08.000Z | src/spaceone/inventory/manager/__init__.py | spaceone-dev/plugin-aws-state-inven-collector | 9e766c36e9d5bb0bc805d10386b5ca64584fb5a6 | [
"Apache-2.0"
] | 3 | 2020-10-13T14:58:11.000Z | 2020-11-19T04:16:11.000Z | from spaceone.inventory.manager.rds_manager import RDSManager
from spaceone.inventory.manager.auto_scaling_manager import AutoScalingManager
from spaceone.inventory.manager.ec2_manager import EC2Manager
| 50.75 | 78 | 0.896552 | 25 | 203 | 7.12 | 0.48 | 0.202247 | 0.353933 | 0.47191 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010471 | 0.059113 | 203 | 3 | 79 | 67.666667 | 0.921466 | 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 |
540fd1f5b4edefd1d7c31cb4d0f6b47eca4ead18 | 93 | py | Python | src/fast_map/__init__.py | michalmonday/fast_map | 5bd74ae5288689bd80d8f3a30e31f2caba9e6ec8 | [
"MIT"
] | 2 | 2022-02-13T15:19:15.000Z | 2022-03-16T17:07:14.000Z | src/fast_map/__init__.py | michalmonday/fast_map | 5bd74ae5288689bd80d8f3a30e31f2caba9e6ec8 | [
"MIT"
] | null | null | null | src/fast_map/__init__.py | michalmonday/fast_map | 5bd74ae5288689bd80d8f3a30e31f2caba9e6ec8 | [
"MIT"
] | null | null | null | from .fast_map import fast_map #, fast_map_simple
from .fast_map_async import fast_map_async
| 31 | 49 | 0.849462 | 17 | 93 | 4.176471 | 0.352941 | 0.492958 | 0.309859 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.107527 | 93 | 2 | 50 | 46.5 | 0.855422 | 0.182796 | 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 |
5417351d1728b292729eb4b750baaf218b16f80b | 222 | py | Python | infos.py | EduardoWS/bmo-sc | 3b077577e275adcce8a7dd483395463da0e75fd2 | [
"MIT"
] | null | null | null | infos.py | EduardoWS/bmo-sc | 3b077577e275adcce8a7dd483395463da0e75fd2 | [
"MIT"
] | null | null | null | infos.py | EduardoWS/bmo-sc | 3b077577e275adcce8a7dd483395463da0e75fd2 | [
"MIT"
] | null | null | null |
def canais_perm():
canais_permitidos = [749451565525631026, 754386829360234587, 756134587553284176, 920736410183557142, 854848660524630041, 927381503275569173, 942934387627003924]
return canais_permitidos
| 31.714286 | 165 | 0.810811 | 15 | 222 | 11.8 | 0.8 | 0.180791 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.65625 | 0.135135 | 222 | 6 | 166 | 37 | 0.265625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0 | 0 | 0.666667 | 0 | 1 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 7 |
5426c0a758565c9233fba333fa99477e856d68fe | 302 | py | Python | ariadne/contrib/__init__.py | tilmanbeck/inception-external-recommender | 72fd3afad7ba9c5f1bff6cda26f5848d2ce717bf | [
"Apache-2.0"
] | null | null | null | ariadne/contrib/__init__.py | tilmanbeck/inception-external-recommender | 72fd3afad7ba9c5f1bff6cda26f5848d2ce717bf | [
"Apache-2.0"
] | null | null | null | ariadne/contrib/__init__.py | tilmanbeck/inception-external-recommender | 72fd3afad7ba9c5f1bff6cda26f5848d2ce717bf | [
"Apache-2.0"
] | null | null | null | #from ariadne.contrib.sklearn import SklearnSentenceClassifier
#from ariadne.contrib.sbert import SbertSentenceClassifier
#from ariadne.contrib.adapter import AdapterClassifier
from ariadne.contrib.bert import BertClassifier
from ariadne.contrib.bert_prediction_only import BertPredictionOnlyClassifier | 60.4 | 77 | 0.89404 | 32 | 302 | 8.375 | 0.46875 | 0.205224 | 0.335821 | 0.164179 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.062914 | 302 | 5 | 77 | 60.4 | 0.946996 | 0.566225 | 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 |
580b53e865b5d432d78f2f63f9a49508eddb68ee | 6,055 | py | Python | model/tensorflow/tests/test_tf_integration.py | Javier77nance/dffml | 2e094e44cfa1758ef17cd5d052581ed5fe3d3e03 | [
"MIT"
] | null | null | null | model/tensorflow/tests/test_tf_integration.py | Javier77nance/dffml | 2e094e44cfa1758ef17cd5d052581ed5fe3d3e03 | [
"MIT"
] | null | null | null | model/tensorflow/tests/test_tf_integration.py | Javier77nance/dffml | 2e094e44cfa1758ef17cd5d052581ed5fe3d3e03 | [
"MIT"
] | 1 | 2021-04-02T23:58:57.000Z | 2021-04-02T23:58:57.000Z | """
This file contains integration tests. We use the CLI to exercise functionality of
various DFFML classes and constructs.
"""
import csv
import json
import pathlib
import contextlib
import numpy as np
from sklearn.datasets import make_classification, make_regression
from dffml.cli.cli import CLI
from dffml.util.asynctestcase import AsyncTestCase
class TestDNNC(AsyncTestCase):
async def test_run(self):
self.required_plugins("dffml-model-tensorflow")
data_filename = self.mktempfile() + ".csv"
X, y = make_classification(
n_samples=10,
n_features=5,
n_classes=4,
n_informative=3,
shuffle=True,
random_state=2020,
)
train_data = np.concatenate((X, y[:, None]), axis=1)
with open(pathlib.Path(data_filename), "w+") as data_file:
writer = csv.writer(data_file, delimiter=",")
writer.writerow(["A", "B", "C", "D", "E", "true_class"])
writer.writerows(train_data)
# Features
features = "-model-features A:float:1 B:float:1 C:float:1 D:float:1 E:float:1".split()
model_dir = self.mktempdir()
# Train the model
await CLI.cli(
"train",
"-model",
"tfdnnc",
*features,
"-model-predict",
"true_class:int:1",
"-model-directory",
model_dir,
"-model-classifications",
"0",
"1",
"2",
"3",
"-model-clstype",
"int",
"-sources",
"training_data=csv",
"-source-filename",
data_filename,
)
# Assess accuracy
await CLI.cli(
"accuracy",
"-model",
"tfdnnc",
*features,
"-model-predict",
"true_class:int:1",
"-model-directory",
model_dir,
"-model-classifications",
"0",
"1",
"2",
"3",
"-model-clstype",
"int",
"-sources",
"test_data=csv",
"-source-filename",
data_filename,
)
with contextlib.redirect_stdout(self.stdout):
# Make prediction
await CLI._main(
"predict",
"all",
"-model",
"tfdnnc",
*features,
"-model-predict",
"true_class:int:1",
"-model-directory",
model_dir,
"-model-classifications",
"0",
"1",
"2",
"3",
"-model-clstype",
"int",
"-sources",
"predict_data=csv",
"-source-filename",
data_filename,
)
results = json.loads(self.stdout.getvalue())
self.assertTrue(isinstance(results, list))
self.assertTrue(results)
results = results[0]
self.assertIn("prediction", results)
results = results["prediction"]
self.assertIn("true_class", results)
results = results["true_class"]
self.assertIn("value", results)
results = results["value"]
self.assertIn(results, [0, 1, 2, 3])
class TestDNNR(AsyncTestCase):
async def test_run(self):
self.required_plugins("dffml-model-tensorflow")
data_filename = self.mktempfile() + ".csv"
X, y = make_regression(
n_samples=10,
n_features=6,
n_targets=1,
shuffle=True,
random_state=2020,
)
train_data = np.concatenate((X, y[:, None]), axis=1)
with open(pathlib.Path(data_filename), "w+") as data_file:
writer = csv.writer(data_file, delimiter=",")
writer.writerow(["A", "B", "C", "D", "E", "F", "true_target"])
writer.writerows(train_data)
# Features
features = "-model-features A:float:1 B:float:1 C:float:1 D:float:1 E:float:1 F:float:1".split()
model_dir = self.mktempdir()
# Train the model
await CLI.cli(
"train",
"-model",
"tfdnnr",
*features,
"-model-predict",
"true_target:float:1",
"-model-directory",
model_dir,
"-sources",
"training_data=csv",
"-source-filename",
data_filename,
)
# Assess accuracy
await CLI.cli(
"accuracy",
"-model",
"tfdnnr",
*features,
"-model-predict",
"true_target:float:1",
"-model-directory",
model_dir,
"-sources",
"test_data=csv",
"-source-filename",
data_filename,
)
with contextlib.redirect_stdout(self.stdout):
# Make prediction
await CLI._main(
"predict",
"all",
"-model",
"tfdnnr",
*features,
"-model-predict",
"true_target:float:1",
"-model-directory",
model_dir,
"-sources",
"predict_data=csv",
"-source-filename",
data_filename,
)
results = json.loads(self.stdout.getvalue())
self.assertTrue(isinstance(results, list))
self.assertTrue(results)
results = results[0]
self.assertIn("prediction", results)
results = results["prediction"]
self.assertIn("true_target", results)
results = results["true_target"]
self.assertIn("value", results)
results = results["value"]
self.assertTrue(results is not None)
| 30.124378 | 104 | 0.475145 | 553 | 6,055 | 5.084991 | 0.216998 | 0.079659 | 0.059744 | 0.051209 | 0.818634 | 0.805121 | 0.805121 | 0.805121 | 0.771693 | 0.771693 | 0 | 0.014946 | 0.403303 | 6,055 | 200 | 105 | 30.275 | 0.763355 | 0.038646 | 0 | 0.801136 | 0 | 0.011364 | 0.189459 | 0.018946 | 0 | 0 | 0 | 0 | 0.068182 | 1 | 0 | false | 0 | 0.045455 | 0 | 0.056818 | 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 |
587ba3b486555009a27eb2a6f1b6d057de0766d8 | 8,925 | py | Python | cudnn_layers.py | hutomadotAI/Research-Experiments | ae354930a164dee96b2f7cb32f19a70eb85db887 | [
"Apache-2.0"
] | 2 | 2019-06-01T15:15:44.000Z | 2019-09-04T15:04:45.000Z | cudnn_layers.py | hutomadotAI/Research-Experiments | ae354930a164dee96b2f7cb32f19a70eb85db887 | [
"Apache-2.0"
] | null | null | null | cudnn_layers.py | hutomadotAI/Research-Experiments | ae354930a164dee96b2f7cb32f19a70eb85db887 | [
"Apache-2.0"
] | 1 | 2019-09-04T15:04:49.000Z | 2019-09-04T15:04:49.000Z | import tensorflow as tf
from layers import dropout, _last_relevant
class GRU:
def __init__(self, num_layers, num_units, batch_size, input_size, keep_prob=1.0,
is_train=None, seed=3435, scope=None):
self.num_layers = num_layers
self.grus = []
self.inits = []
self.dropout_mask = []
for layer in range(num_layers):
input_size_ = input_size if layer == 0 else num_units
gru = tf.contrib.cudnn_rnn.CudnnGRU(1, num_units, seed=seed)
init = tf.tile(tf.Variable(
tf.zeros([1, 1, num_units])), [1, batch_size, 1])
mask = dropout(tf.ones([1, batch_size, input_size_], dtype=tf.float32),
keep_prob=keep_prob, is_train=is_train, mode=None)
self.grus.append(gru)
self.inits.append(init)
self.dropout_mask.append(mask)
def __call__(self, inputs, seq_len, concat_layers=True, use_last=False, scope='gru'):
outputs = [tf.transpose(inputs, [1, 0, 2])]
for layer in range(self.num_layers):
gru = self.grus[layer]
init = self.inits[layer]
mask = self.dropout_mask[layer]
with tf.variable_scope("{}_{}".format(scope, layer)):
out, _ = gru(outputs[-1] * mask, initial_state=(init, ))
outputs.append(out)
if concat_layers:
res = tf.concat(outputs[1:], axis=2)
else:
res = outputs[-1]
res = tf.transpose(res, [1, 0, 2])
if use_last:
last = _last_relevant(res, seq_len)
return last, res
else:
return res
class BiGRU:
def __init__(self, num_layers, num_units, batch_size, input_size, keep_prob=1.0,
is_train=None, seed=3435, scope=None):
self.num_layers = num_layers
self.grus = []
self.inits = []
self.dropout_mask = []
for layer in range(num_layers):
input_size_ = input_size if layer == 0 else 2 * num_units
gru_fw = tf.contrib.cudnn_rnn.CudnnGRU(1, num_units, seed=seed)
gru_bw = tf.contrib.cudnn_rnn.CudnnGRU(1, num_units, seed=seed)
init_fw = tf.tile(tf.Variable(
tf.zeros([1, 1, num_units])), [1, batch_size, 1])
init_bw = tf.tile(tf.Variable(
tf.zeros([1, 1, num_units])), [1, batch_size, 1])
mask_fw = dropout(tf.ones([1, batch_size, input_size_], dtype=tf.float32),
keep_prob=keep_prob, is_train=is_train, mode=None)
mask_bw = dropout(tf.ones([1, batch_size, input_size_], dtype=tf.float32),
keep_prob=keep_prob, is_train=is_train, mode=None)
self.grus.append((gru_fw, gru_bw, ))
self.inits.append((init_fw, init_bw, ))
self.dropout_mask.append((mask_fw, mask_bw, ))
def __call__(self, inputs, seq_len, concat_layers=True, use_last=False, scope='gru'):
outputs = [tf.transpose(inputs, [1, 0, 2])]
for layer in range(self.num_layers):
gru_fw, gru_bw = self.grus[layer]
init_fw, init_bw = self.inits[layer]
mask_fw, mask_bw = self.dropout_mask[layer]
with tf.variable_scope("fw_{}_{}".format(scope, layer)):
out_fw, _ = gru_fw(
outputs[-1] * mask_fw, initial_state=(init_fw, ))
with tf.variable_scope("bw_{}_{}".format(scope, layer)):
inputs_bw = tf.reverse_sequence(
outputs[-1] * mask_bw, seq_lengths=seq_len, seq_axis=0, batch_axis=1)
out_bw, _ = gru_bw(inputs_bw, initial_state=(init_bw, ))
out_bw = tf.reverse_sequence(
out_bw, seq_lengths=seq_len, seq_axis=0, batch_axis=1)
outputs.append(tf.concat([out_fw, out_bw], axis=2))
if concat_layers:
res = tf.concat(outputs[1:], axis=2)
else:
res = outputs[-1]
res = tf.transpose(res, [1, 0, 2])
if use_last:
last = _last_relevant(res, seq_len)
return last, res
else:
return res
class LSTM:
def __init__(self, num_layers, num_units, batch_size, input_size, keep_prob=1.0,
is_train=None, seed=3435, scope=None):
self.num_layers = num_layers
self.lstms = []
self.inits = []
self.inits2 = []
self.dropout_mask = []
for layer in range(num_layers):
input_size_ = input_size if layer == 0 else num_units
lstm = tf.contrib.cudnn_rnn.CudnnLSTM(1, num_units, seed=seed)
init = tf.tile(tf.Variable(
tf.zeros([1, 1, num_units])), [1, batch_size, 1])
init2 = tf.tile(tf.Variable(
tf.zeros([1, 1, num_units])), [1, batch_size, 1])
mask = dropout(tf.ones([1, batch_size, input_size_], dtype=tf.float32),
keep_prob=keep_prob, is_train=is_train, mode=None)
self.lstms.append(lstm)
self.inits.append(init)
self.inits2.append(init2)
self.dropout_mask.append(mask)
def __call__(self, inputs, seq_len, concat_layers=True, use_last=False, scope='lstm'):
outputs = [tf.transpose(inputs, [1, 0, 2])]
for layer in range(self.num_layers):
lstm = self.lstms[layer]
init = self.inits[layer]
init2 = self.inits2[layer]
mask = self.dropout_mask[layer]
with tf.variable_scope("{}_{}".format(scope, layer)):
out, _ = lstm(outputs[-1] * mask, initial_state=(init, init2))
outputs.append(out)
if concat_layers:
res = tf.concat(outputs[1:], axis=2)
else:
res = outputs[-1]
res = tf.transpose(res, [1, 0, 2])
if use_last:
last = _last_relevant(res, seq_len)
return last, res
else:
return res
class BiLSTM:
def __init__(self, num_layers, num_units, batch_size, input_size, keep_prob=1.0,
is_train=None, seed=3435, scope=None):
self.num_layers = num_layers
self.lstms = []
self.inits = []
self.inits2 = []
self.dropout_mask = []
for layer in range(num_layers):
input_size_ = input_size if layer == 0 else 2 * num_units
lstm_fw = tf.contrib.cudnn_rnn.CudnnLSTM(1, num_units, seed=seed)
lstm_bw = tf.contrib.cudnn_rnn.CudnnLSTM(1, num_units, seed=seed)
init_fw = tf.tile(tf.Variable(
tf.zeros([1, 1, num_units])), [1, batch_size, 1])
init_fw2 = tf.tile(tf.Variable(
tf.zeros([1, 1, num_units])), [1, batch_size, 1])
init_bw = tf.tile(tf.Variable(
tf.zeros([1, 1, num_units])), [1, batch_size, 1])
init_bw2 = tf.tile(tf.Variable(
tf.zeros([1, 1, num_units])), [1, batch_size, 1])
mask_fw = dropout(tf.ones([1, batch_size, input_size_], dtype=tf.float32),
keep_prob=keep_prob, is_train=is_train, mode=None)
mask_bw = dropout(tf.ones([1, batch_size, input_size_], dtype=tf.float32),
keep_prob=keep_prob, is_train=is_train, mode=None)
self.lstms.append((lstm_fw, lstm_bw,))
self.inits.append((init_fw, init_bw,))
self.inits2.append((init_fw2, init_bw2))
self.dropout_mask.append((mask_fw, mask_bw,))
def __call__(self, inputs, seq_len, concat_layers=True, use_last=False, scope='lstm'):
outputs = [tf.transpose(inputs, [1, 0, 2])]
for layer in range(self.num_layers):
lstm_fw, lstm_bw = self.lstms[layer]
init_fw, init_bw = self.inits[layer]
init_fw2, init_bw2 = self.inits2[layer]
mask_fw, mask_bw = self.dropout_mask[layer]
with tf.variable_scope("fw_{}_{}".format(scope, layer)):
out_fw, _ = lstm_fw(
outputs[-1] * mask_fw, initial_state=(init_fw, init_fw2))
with tf.variable_scope("bw_{}_{}".format(scope, layer)):
inputs_bw = tf.reverse_sequence(
outputs[-1] * mask_bw, seq_lengths=seq_len, seq_axis=0, batch_axis=1)
out_bw, _ = lstm_bw(inputs_bw, initial_state=(init_bw, init_bw2))
out_bw = tf.reverse_sequence(
out_bw, seq_lengths=seq_len, seq_axis=0, batch_axis=1)
outputs.append(tf.concat([out_fw, out_bw], axis=2))
if concat_layers:
res = tf.concat(outputs[1:], axis=2)
else:
res = outputs[-1]
res = tf.transpose(res, [1, 0, 2])
if use_last:
last = _last_relevant(res, seq_len)
return last, res
else:
return res
| 44.402985 | 90 | 0.561793 | 1,198 | 8,925 | 3.913189 | 0.069282 | 0.039249 | 0.028797 | 0.038396 | 0.951792 | 0.918302 | 0.906357 | 0.894411 | 0.882253 | 0.854522 | 0 | 0.026127 | 0.313838 | 8,925 | 200 | 91 | 44.625 | 0.739386 | 0 | 0 | 0.807692 | 0 | 0 | 0.006275 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043956 | false | 0 | 0.010989 | 0 | 0.120879 | 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 |
588f8a021419e95a288c479ad9010702eca8ebe2 | 870 | py | Python | test/it/test_nexus.py | uk-gov-mirror/hmrc.service-manager | 6d6fcc4a1d25d094e7d0c798fc4219cf20a6f234 | [
"Apache-2.0"
] | 52 | 2015-02-04T21:09:11.000Z | 2022-02-23T15:48:06.000Z | test/it/test_nexus.py | uk-gov-mirror/hmrc.service-manager | 6d6fcc4a1d25d094e7d0c798fc4219cf20a6f234 | [
"Apache-2.0"
] | 57 | 2015-01-08T10:17:16.000Z | 2021-11-18T14:56:51.000Z | test/it/test_nexus.py | uk-gov-mirror/hmrc.service-manager | 6d6fcc4a1d25d094e7d0c798fc4219cf20a6f234 | [
"Apache-2.0"
] | 50 | 2015-02-02T16:12:13.000Z | 2021-11-13T09:19:32.000Z | from .testbase import TestBase
class TestNexus(TestBase):
def test_nexus_zip(self):
self.startFakeNexus()
context = self.createContext()
servicetostart = "PLAY_NEXUS_END_TO_END_TEST"
self.start_service_and_wait(context, servicetostart)
self.assertIsNotNone(context.get_service(servicetostart).status())
context.kill(servicetostart, True)
self.assertEqual(context.get_service(servicetostart).status(), [])
def test_nexus_tgz(self):
self.startFakeNexus()
context = self.createContext()
servicetostart = "PLAY_NEXUS_TGZ_TEST"
self.start_service_and_wait(context, servicetostart)
self.assertIsNotNone(context.get_service(servicetostart).status())
context.kill(servicetostart, True)
self.assertEqual(context.get_service(servicetostart).status(), [])
| 36.25 | 74 | 0.711494 | 89 | 870 | 6.707865 | 0.314607 | 0.067002 | 0.113903 | 0.207705 | 0.850921 | 0.850921 | 0.850921 | 0.850921 | 0.850921 | 0.619765 | 0 | 0 | 0.187356 | 870 | 23 | 75 | 37.826087 | 0.844413 | 0 | 0 | 0.666667 | 0 | 0 | 0.051724 | 0.029885 | 0 | 0 | 0 | 0 | 0.222222 | 1 | 0.111111 | false | 0 | 0.055556 | 0 | 0.222222 | 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 |
5898485290fe3505441048991e1e1cbaa70febf4 | 126 | py | Python | tests/test_util.py | eikendev/gitool | 9bfa248093d4ee3caf25fde1a59f4f0fc66994af | [
"MIT"
] | 1 | 2022-03-17T06:26:20.000Z | 2022-03-17T06:26:20.000Z | tests/test_util.py | eikendev/gitool | 9bfa248093d4ee3caf25fde1a59f4f0fc66994af | [
"MIT"
] | null | null | null | tests/test_util.py | eikendev/gitool | 9bfa248093d4ee3caf25fde1a59f4f0fc66994af | [
"MIT"
] | null | null | null | from gitool.util import *
def test_list_properties():
assert list_properties(["ahead", "behind"]) == "ahead and behind"
| 21 | 69 | 0.706349 | 16 | 126 | 5.375 | 0.75 | 0.325581 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.150794 | 126 | 5 | 70 | 25.2 | 0.803738 | 0 | 0 | 0 | 0 | 0 | 0.214286 | 0 | 0 | 0 | 0 | 0 | 0.333333 | 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 |
3f8d1c8ff6289735dd304bca7a2e02066ccb2c6f | 4,661 | py | Python | tests/loop_tool/actions_test.py | lipovsek/CompilerGym | 444b82fdf304949e6b8cea23c61f6477b419e3a1 | [
"MIT"
] | null | null | null | tests/loop_tool/actions_test.py | lipovsek/CompilerGym | 444b82fdf304949e6b8cea23c61f6477b419e3a1 | [
"MIT"
] | null | null | null | tests/loop_tool/actions_test.py | lipovsek/CompilerGym | 444b82fdf304949e6b8cea23c61f6477b419e3a1 | [
"MIT"
] | null | null | null | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Integrations tests for the loop_tool CompilerGym environment."""
import loop_tool_py as lt
import pytest
from flaky import flaky
import compiler_gym
from tests.test_main import main
@flaky
@pytest.mark.parametrize("backend", lt.backends())
@pytest.mark.timeout(600)
def test_basic(backend):
with compiler_gym.make("loop_tool-v0") as env:
env.observation_space = "flops"
env.reset(
benchmark=env.datasets.benchmark(
uri=f"benchmark://loop_tool-{backend}-v0/1024"
),
action_space="simple",
)
env.step(0)
env.step(1)
env.step(0)
env.step(1)
env.step(1)
env.step(0)
env.step(1)
env.step(0)
o = env.step(1)
print(o)
@flaky
@pytest.mark.parametrize("backend", lt.backends())
@pytest.mark.timeout(600)
def test_rand(backend):
with compiler_gym.make("loop_tool-v0") as env:
env.observation_space = "flops"
env.reset(
benchmark=env.datasets.benchmark(
uri=f"benchmark://loop_tool-{backend}-v0/128"
),
action_space="simple",
)
best = 0
for i in range(10):
a = env.action_space.sample()
o = env.step(a)
flops = o[0]
if flops > best:
best = flops
print(best)
@flaky
@pytest.mark.parametrize("backend", lt.backends())
@pytest.mark.timeout(600)
def test_induced_remainder(backend):
with compiler_gym.make("loop_tool-v0") as env:
env.observation_space = "loop_tree"
# reset
env.reset(
benchmark=env.datasets.benchmark(
uri=f"benchmark://loop_tool-{backend}-v0/1024"
),
action_space="simple",
)
# action toggle_mode
env.step(0)
# action up
env.step(1)
# action toggle_mode
env.step(0)
# action up
env.step(1)
# action up
o = env.step(1)
expected = f"""
for a in 341 r 1 : L0 {'cpu_parallel ' if backend=='cpu' else ''}[thread]
for a' in 3 : L1
for a'' in 1 : L2
%0[a] <- read()
for a'' in 1 : L4
%1[a] <- read()
for a'' in 1 : L6
%2[a] <- add(%0, %1)
for a'' in 1 : L8
%3[a] <- write(%2)
"""
lines = o[0].strip().split("\n")
out = "\n".join(line.rstrip() for line in lines)
assert out == expected.strip(), f"{out} \n vs \n {expected.strip()}"
@flaky
@pytest.mark.parametrize("backend", lt.backends())
@pytest.mark.timeout(600)
def test_thread_removal(backend):
with compiler_gym.make("loop_tool-v0") as env:
env.observation_space = "loop_tree"
# reset
env.reset(
benchmark=env.datasets.benchmark(
uri=f"benchmark://loop_tool-{backend}-v0/1024"
),
action_space="simple",
)
# action toggle_thread
o = env.step(3)
expected = """
for a in 1024 : L0
for a' in 1 : L1
for a'' in 1 : L2
%0[a] <- read()
for a'' in 1 : L4
%1[a] <- read()
for a'' in 1 : L6
%2[a] <- add(%0, %1)
for a'' in 1 : L8
%3[a] <- write(%2)
"""
lines = o[0].strip().split("\n")
out = "\n".join(line.rstrip() for line in lines)
assert out == expected.strip(), f"{out} \n vs \n {expected.strip()}"
@flaky
@pytest.mark.parametrize("backend", lt.backends())
@pytest.mark.timeout(600)
def test_thread_addition(backend):
with compiler_gym.make("loop_tool-v0") as env:
env.observation_space = "loop_tree"
# reset
env.reset(
benchmark=env.datasets.benchmark(
uri=f"benchmark://loop_tool-{backend}-v0/1024"
),
action_space="simple",
)
# action toggle_mode
env.step(0)
# action up
env.step(1)
# action toggle_thread
o = env.step(3)
expected = f"""
for a in 1024 : L0 {'cpu_parallel ' if backend=='cpu' else ''}[thread]
for a' in 1 : L1 {'cpu_parallel ' if backend=='cpu' else ''}[thread]
for a'' in 1 : L2
%0[a] <- read()
for a'' in 1 : L4
%1[a] <- read()
for a'' in 1 : L6
%2[a] <- add(%0, %1)
for a'' in 1 : L8
%3[a] <- write(%2)
"""
lines = o[0].strip().split("\n")
out = "\n".join(line.rstrip() for line in lines)
assert out == expected.strip(), f"{out} \n vs \n {expected.strip()}"
if __name__ == "__main__":
main()
| 27.25731 | 76 | 0.54838 | 646 | 4,661 | 3.866873 | 0.176471 | 0.053243 | 0.043235 | 0.039231 | 0.810649 | 0.791833 | 0.791833 | 0.791833 | 0.773419 | 0.769816 | 0 | 0.04136 | 0.299721 | 4,661 | 170 | 77 | 27.417647 | 0.723958 | 0.083244 | 0 | 0.755396 | 0 | 0 | 0.291627 | 0.045626 | 0 | 0 | 0 | 0 | 0.021583 | 1 | 0.035971 | false | 0 | 0.035971 | 0 | 0.071942 | 0.014388 | 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 |
3fc643d335938ddd79317f8255a3fc65749fcdb7 | 84 | py | Python | tests/test_version.py | mwouts/world_bank_data | 79fc0c429c3f64c7a9bea2b90951c1c1e73b7b3d | [
"MIT"
] | 91 | 2019-04-07T06:52:37.000Z | 2022-03-24T09:02:24.000Z | tests/test_version.py | mwouts/world_bank_data | 79fc0c429c3f64c7a9bea2b90951c1c1e73b7b3d | [
"MIT"
] | 16 | 2019-04-08T12:17:17.000Z | 2020-12-17T12:51:52.000Z | tests/test_version.py | mwouts/world_bank_data | 79fc0c429c3f64c7a9bea2b90951c1c1e73b7b3d | [
"MIT"
] | 29 | 2019-06-02T04:40:37.000Z | 2022-02-06T21:52:46.000Z | import world_bank_data
def test_version():
assert world_bank_data.__version__
| 14 | 38 | 0.809524 | 12 | 84 | 4.916667 | 0.666667 | 0.305085 | 0.440678 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 84 | 5 | 39 | 16.8 | 0.819444 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.333333 | 1 | 0.333333 | true | 0 | 0.333333 | 0 | 0.666667 | 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 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
b74926d3ad5547dd716f74156647160c1e631e33 | 11,344 | py | Python | Testing/run_tests.py | kchandra423/Segregation-Analyzer | 4f2f3d3f9b0d11ac8f7b1ef400936b067c73edae | [
"MIT"
] | null | null | null | Testing/run_tests.py | kchandra423/Segregation-Analyzer | 4f2f3d3f9b0d11ac8f7b1ef400936b067c73edae | [
"MIT"
] | null | null | null | Testing/run_tests.py | kchandra423/Segregation-Analyzer | 4f2f3d3f9b0d11ac8f7b1ef400936b067c73edae | [
"MIT"
] | null | null | null | def test_divergence():
thing = {"NAME": "Yakutat City and Borough, Alaska", "state": "02", "county": "282", "BROWN": 55.0, "POP": 649.0,
"Sub_Areas": [
{"state": "02", "county": "282", "tract": "000100", "BROWN": 55.0, "POP": 649.0, "Sub_Areas": [
{"state": "02", "county": "282", "tract": "000100", "block group": "1", "BROWN": 55.0,
"POP": 649.0,
"Valid": True, "Divergence": 0.0}]
# county_tracts = {"NAME": "St. Clair County, Alabama", "state": "01", "county": "115", "BROWN": 10551.0,
# "POP": 87989.0,
# "Sub_Areas": [{"state": "01", "county": "115", "tract": "040103", "BROWN": 1123.0, "POP": 9311.0},
# {"state": "01", "county": "115", "tract": "040104", "BROWN": 678.0, "POP": 4955.0},
# {"state": "01", "county": "115", "tract": "040105", "BROWN": 813.0, "POP": 4996.0},
# {"state": "01", "county": "115", "tract": "040106", "BROWN": 628.0, "POP": 6942.0},
# {"state": "01", "county": "115", "tract": "040204", "BROWN": 442.0, "POP": 7009.0},
# {"state": "01", "county": "115", "tract": "040205", "BROWN": 250.0, "POP": 5989.0},
# {"state": "01", "county": "115", "tract": "040401", "BROWN": 837.0, "POP": 5301.0},
# {"state": "01", "county": "115", "tract": "040402", "BROWN": 309.0, "POP": 3597.0},
# {"state": "01", "county": "115", "tract": "040501", "BROWN": 693.0, "POP": 11271.0},
# {"state": "01", "county": "115", "tract": "040300", "BROWN": 273.0, "POP": 5328.0},
# {"state": "01", "county": "115", "tract": "040201", "BROWN": 355.0, "POP": 6143.0},
# {"state": "01", "county": "115", "tract": "040502", "BROWN": 3035.0, "POP": 10775.0},
# {"state": "01", "county": "115", "tract": "040203", "BROWN": 1115.0, "POP": 6372.0}]}
# county_blocks = {"NAME": "St. Clair County, Alabama", "state": "01", "county": "115", "BROWN": 10551.0,
# "POP": 87989.0, "Sub_Areas": [
# {"state": "01", "county": "115", "tract": "040103", "BROWN": 1123.0, "POP": 9311.0, "Sub_Areas": [
# {"state": "01", "county": "115", "tract": "040103", "block group": "2", "BROWN": 618.0, "POP": 5228.0},
# {"state": "01", "county": "115", "tract": "040103", "block group": "1", "BROWN": 505.0,
# "POP": 4083.0}]}, {"state": "01", "county": "115", "tract": "040104", "BROWN": 678.0, "POP": 4955.0,
# "Sub_Areas": [
# {"state": "01", "county": "115", "tract": "040104", "block group": "2",
# "BROWN": 351.0, "POP": 2872.0},
# {"state": "01", "county": "115", "tract": "040104", "block group": "1",
# "BROWN": 327.0, "POP": 2083.0}]},
# {"state": "01", "county": "115", "tract": "040105", "BROWN": 813.0, "POP": 4996.0, "Sub_Areas": [
# {"state": "01", "county": "115", "tract": "040105", "block group": "2", "BROWN": 222.0, "POP": 1768.0},
# {"state": "01", "county": "115", "tract": "040105", "block group": "1", "BROWN": 591.0,
# "POP": 3228.0}]}, {"state": "01", "county": "115", "tract": "040106", "BROWN": 628.0, "POP": 6942.0,
# "Sub_Areas": [
# {"state": "01", "county": "115", "tract": "040106", "block group": "1",
# "BROWN": 487.0, "POP": 2311.0},
# {"state": "01", "county": "115", "tract": "040106", "block group": "2",
# "BROWN": 141.0, "POP": 3437.0},
# {"state": "01", "county": "115", "tract": "040106", "block group": "3",
# "BROWN": 0.0, "POP": 1194.0}]},
# {"state": "01", "county": "115", "tract": "040204", "BROWN": 442.0, "POP": 7009.0, "Sub_Areas": [
# {"state": "01", "county": "115", "tract": "040204", "block group": "1", "BROWN": 387.0, "POP": 4775.0},
# {"state": "01", "county": "115", "tract": "040204", "block group": "2", "BROWN": 49.0, "POP": 1499.0},
# {"state": "01", "county": "115", "tract": "040204", "block group": "3", "BROWN": 6.0, "POP": 735.0}]},
# {"state": "01", "county": "115", "tract": "040205", "BROWN": 250.0, "POP": 5989.0, "Sub_Areas": [
# {"state": "01", "county": "115", "tract": "040205", "block group": "1", "BROWN": 32.0, "POP": 1556.0},
# {"state": "01", "county": "115", "tract": "040205", "block group": "3", "BROWN": 197.0, "POP": 2910.0},
# {"state": "01", "county": "115", "tract": "040205", "block group": "2", "BROWN": 21.0, "POP": 1523.0}]},
# {"state": "01", "county": "115", "tract": "040401", "BROWN": 837.0, "POP": 5301.0, "Sub_Areas": [
# {"state": "01", "county": "115", "tract": "040401", "block group": "2", "BROWN": 510.0, "POP": 1421.0},
# {"state": "01", "county": "115", "tract": "040401", "block group": "3", "BROWN": 277.0, "POP": 2512.0},
# {"state": "01", "county": "115", "tract": "040401", "block group": "1", "BROWN": 50.0, "POP": 1368.0}]},
# {"state": "01", "county": "115", "tract": "040402", "BROWN": 309.0, "POP": 3597.0, "Sub_Areas": [
# {"state": "01", "county": "115", "tract": "040402", "block group": "2", "BROWN": 132.0, "POP": 996.0},
# {"state": "01", "county": "115", "tract": "040402", "block group": "3", "BROWN": 122.0, "POP": 836.0},
# {"state": "01", "county": "115", "tract": "040402", "block group": "1", "BROWN": 55.0, "POP": 1765.0}]},
# {"state": "01", "county": "115", "tract": "040501", "BROWN": 693.0, "POP": 11271.0, "Sub_Areas": [
# {"state": "01", "county": "115", "tract": "040501", "block group": "1", "BROWN": 37.0, "POP": 3701.0},
# {"state": "01", "county": "115", "tract": "040501", "block group": "4", "BROWN": 444.0, "POP": 4165.0},
# {"state": "01", "county": "115", "tract": "040501", "block group": "3", "BROWN": 173.0, "POP": 627.0},
# {"state": "01", "county": "115", "tract": "040501", "block group": "2", "BROWN": 39.0, "POP": 2778.0}]},
# {"state": "01", "county": "115", "tract": "040300", "BROWN": 273.0, "POP": 5328.0, "Sub_Areas": [
# {"state": "01", "county": "115", "tract": "040300", "block group": "2", "BROWN": 155.0, "POP": 1124.0},
# {"state": "01", "county": "115", "tract": "040300", "block group": "3", "BROWN": 18.0, "POP": 2716.0},
# {"state": "01", "county": "115", "tract": "040300", "block group": "1", "BROWN": 100.0,
# "POP": 1488.0}]}, {"state": "01", "county": "115", "tract": "040201", "BROWN": 355.0, "POP": 6143.0,
# "Sub_Areas": [
# {"state": "01", "county": "115", "tract": "040201", "block group": "1",
# "BROWN": 352.0, "POP": 1417.0},
# {"state": "01", "county": "115", "tract": "040201", "block group": "3",
# "BROWN": 0.0, "POP": 1384.0},
# {"state": "01", "county": "115", "tract": "040201", "block group": "4",
# "BROWN": 0.0, "POP": 1740.0},
# {"state": "01", "county": "115", "tract": "040201", "block group": "2",
# "BROWN": 3.0, "POP": 1602.0}]},
# {"state": "01", "county": "115", "tract": "040502", "BROWN": 3035.0, "POP": 10775.0, "Sub_Areas": [
# {"state": "01", "county": "115", "tract": "040502", "block group": "3", "BROWN": 1074.0, "POP": 3383.0},
# {"state": "01", "county": "115", "tract": "040502", "block group": "4", "BROWN": 113.0, "POP": 1893.0},
# {"state": "01", "county": "115", "tract": "040502", "block group": "1", "BROWN": 1508.0, "POP": 3458.0},
# {"state": "01", "county": "115", "tract": "040502", "block group": "2", "BROWN": 340.0,
# "POP": 2041.0}]}, {"state": "01", "county": "115", "tract": "040203", "BROWN": 1115.0, "POP": 6372.0,
# "Sub_Areas": [
# {"state": "01", "county": "115", "tract": "040203", "block group": "1",
# "BROWN": 471.0, "POP": 2881.0},
# {"state": "01", "county": "115", "tract": "040203", "block group": "3",
# "BROWN": 601.0, "POP": 1837.0},
# {"state": "01", "county": "115", "tract": "040203", "block group": "2",
# "BROWN": 43.0, "POP": 1654.0}]}]}
# print(calc_divergence(county_blocks))
# pprint.pprint(county_blocks)
# print(calc_iso(county_blocks))
# print(calc_iso(county_tracts))
# print(calc_divergence(county_tracts))
test_divergence()
| 112.316832 | 139 | 0.346968 | 1,043 | 11,344 | 3.744966 | 0.149569 | 0.071685 | 0.22299 | 0.27445 | 0.790835 | 0.790835 | 0.77573 | 0.760881 | 0.591654 | 0.358935 | 0 | 0.217854 | 0.428244 | 11,344 | 100 | 140 | 113.44 | 0.384366 | 0 | 0 | 0 | 0 | 0 | 0.069888 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
b75ed7673b67df994c72425019c02f6d63270be6 | 11,720 | py | Python | code/protonet/datasets.py | koava36/certrob-fewshot | bc9f04e1bb10f9b3fede1dc8148881be592faef8 | [
"MIT"
] | null | null | null | code/protonet/datasets.py | koava36/certrob-fewshot | bc9f04e1bb10f9b3fede1dc8148881be592faef8 | [
"MIT"
] | null | null | null | code/protonet/datasets.py | koava36/certrob-fewshot | bc9f04e1bb10f9b3fede1dc8148881be592faef8 | [
"MIT"
] | null | null | null | import os.path as osp
import PIL
from PIL import Image
import numpy as np
import torch
from torch.utils.data import Dataset
from torchvision import transforms
from tqdm.notebook import tqdm
import os
THIS_PATH = osp.dirname(__file__)
ROOT_PATH1 = osp.abspath(osp.join(THIS_PATH, '..', '..', '..'))
ROOT_PATH2 = osp.abspath(osp.join(THIS_PATH, '..', '..'))
class AddGaussianNoise(object):
def __init__(self, mean=0., std=1.):
self.std = std
self.mean = mean
def __call__(self, tensor):
return tensor + torch.randn_like(tensor) * self.std + self.mean
def __repr__(self):
return self.__class__.__name__ + '(mean={0}, std={1})'.format(self.mean, self.std)
class CUB(Dataset):
def __init__(self, setname, args, augment=False):
self.IMAGE_PATH = args.dataset_root
if args.splits_root is None:
self.SPLIT_PATH = osp.join(args.dataset_root, 'splits')
else:
self.SPLIT_PATH = args.splits_root
self.CACHE_PATH = osp.join(ROOT_PATH2, '.cache/')
im_size = args.orig_imsize
txt_path = osp.join(self.SPLIT_PATH, setname + '.csv')
lines = [x.strip() for x in open(txt_path, 'r').readlines()][1:]
cache_path = osp.join(self.CACHE_PATH, "{}.{}.{}.pt".format(self.__class__.__name__, setname, im_size) )
self.use_im_cache = ( im_size != -1 ) # not using cache
if self.use_im_cache:
if not osp.exists(cache_path):
print('* Cache miss... Preprocessing {}...'.format(setname))
resize_ = identity if im_size < 0 else transforms.Resize(im_size)
data, label = self.parse_csv(txt_path)
self.data = [ resize_(Image.open(path).convert('RGB')) for path in data ]
self.label = label
print('* Dump cache from {}'.format(cache_path))
torch.save({'data': self.data, 'label': self.label }, cache_path)
else:
print('* Load cache from {}'.format(cache_path))
cache = torch.load(cache_path)
self.data = cache['data']
self.label = cache['label']
else:
self.data, self.label = self.parse_csv(txt_path)
self.num_class = np.unique(np.array(self.label)).shape[0]
image_size = 84
transforms_list = [
transforms.Resize(84),
transforms.CenterCrop(image_size),
transforms.ToTensor(),
]
# Transformation
if setname == 'train' and augment:
self.transform = transforms.Compose(
transforms_list + [transforms.RandomApply([AddGaussianNoise(0., args.sigma)], p=0.3),
transforms.Normalize(np.array([104 / 255.0, 117 / 255.0, 128 / 255.0]),
np.array([1.0/255, 1.0/255, 1.0/255]))]
)
else:
self.transform = transforms.Compose(transforms_list + [transforms.Normalize(np.array([104 / 255.0, 117 / 255.0, 128 / 255.0]),
np.array([1.0/255, 1.0/255, 1.0/255]))])
def parse_csv(self, txt_path):
data = []
label = []
lb = -1
self.wnids = []
lines = [x.strip() for x in open(txt_path, 'r').readlines()][1:]
for l in lines:
context = l.split(',')
name = context[0]
wnid = context[1]
path = osp.join(self.IMAGE_PATH, name)
if wnid not in self.wnids:
self.wnids.append(wnid)
lb += 1
data.append(path)
label.append(lb)
return data, label
def __len__(self):
return len(self.data)
def __getitem__(self, i):
data, label = self.data[i], self.label[i]
if self.use_im_cache:
image = self.transform(data)
else:
image = self.transform(Image.open(data).convert('RGB'))
return image, label
class MiniImageNet(Dataset):
""" Usage:
"""
def __init__(self, setname, args, augment=False):
self.IMAGE_PATH = args.dataset_root
if args.splits_root is None:
self.SPLIT_PATH = osp.join(args.dataset_root, 'splits')
else:
self.SPLIT_PATH = args.splits_root
self.CACHE_PATH = osp.join(ROOT_PATH2, '.cache/')
im_size = args.orig_imsize
txt_path = osp.join(self.SPLIT_PATH, setname + '.txt')
folder_path = osp.join(self.IMAGE_PATH)
cache_path = osp.join(self.CACHE_PATH, "{}.{}.{}.pt".format(self.__class__.__name__, setname, im_size) )
self.use_im_cache = ( im_size != -1 ) # not using cache
if self.use_im_cache:
if not osp.exists(cache_path):
print('* Cache miss... Preprocessing {}...'.format(setname))
resize_ = identity if im_size < 0 else transforms.Resize(im_size)
data, label = self.parse_csv(csv_path, setname)
self.data = [ resize_(Image.open(path).convert('RGB')) for path in data ]
self.label = label
print('* Dump cache from {}'.format(cache_path))
torch.save({'data': self.data, 'label': self.label }, cache_path)
else:
print('* Load cache from {}'.format(cache_path))
cache = torch.load(cache_path)
self.data = cache['data']
self.label = cache['label']
else:
self.data, self.label = self.parse_folders(txt_path, folder_path)
self.num_class = len(set(self.label))
image_size = 84
transforms_list = [
transforms.Resize(84),
transforms.CenterCrop(image_size),
transforms.ToTensor(),
]
# Transformation
if setname == 'train' and augment:
self.transform = transforms.Compose(
transforms_list + [transforms.RandomApply([AddGaussianNoise(0., args.sigma)], p=0.3),
transforms.Normalize(np.array([0.485, 0.456, 0.406]),
np.array([0.229, 0.224, 0.225]))]
)
else:
self.transform = transforms.Compose(transforms_list + [transforms.Normalize(np.array([0.485, 0.456, 0.406]),
np.array([0.229, 0.224, 0.225]))])
def parse_folders(self, txt_path, folder_path):
data = []
label = []
lb = -1
self.class_names = []
lines = [x.strip() for x in open(txt_path, 'r').readlines()][1:]
for l in lines:
class_name = l
path = osp.join(folder_path, class_name)
if class_name not in self.class_names:
self.class_names.append(class_name)
lb += 1
#data.append(path)
images = os.listdir(path)
data += [osp.join(path, image) for image in images]
label += [lb] * len(images)
return data, label
def __len__(self):
return len(self.data)
def __getitem__(self, i):
data, label = self.data[i], self.label[i]
if self.use_im_cache:
image = self.transform(data)
else:
image = self.transform(Image.open(data).convert('RGB'))
return image, label
class CifarFS(Dataset):
def __init__(self, setname, args, augment=False):
# if dataset_dir is None:
# self.IMAGE_PATH = '../../raid/data/datasets/cifar100/cifar-100-python/cifar-fs'
# self.SPLIT_PATH = '../../raid/data/datasets/cifar100/cifar-100-python/cifar-fs-splits'
# self.CACHE_PATH = osp.join(ROOT_PATH2, '.cache/')
self.IMAGE_PATH = args.dataset_root
if args.splits_root is None:
self.SPLIT_PATH = osp.join(args.dataset_root, 'splits')
else:
self.SPLIT_PATH = args.splits_root
self.CACHE_PATH = osp.join(ROOT_PATH2, '.cache/')
im_size = args.orig_imsize
txt_path = osp.join(self.SPLIT_PATH, setname + '.txt')
folder_path = osp.join(self.IMAGE_PATH, setname)
cache_path = osp.join(self.CACHE_PATH, "{}.{}.{}.pt".format(self.__class__.__name__, setname, im_size) )
self.use_im_cache = ( im_size != -1 ) # not using cache
if self.use_im_cache:
if not osp.exists(cache_path):
print('* Cache miss... Preprocessing {}...'.format(setname))
resize_ = identity if im_size < 0 else transforms.Resize(im_size)
data, label = self.parse_csv(txt_path)
self.data = [ resize_(Image.open(path).convert('RGB')) for path in data ]
self.label = label
print('* Dump cache from {}'.format(cache_path))
torch.save({'data': self.data, 'label': self.label }, cache_path)
else:
print('* Load cache from {}'.format(cache_path))
cache = torch.load(cache_path)
self.data = cache['data']
self.label = cache['label']
else:
self.data, self.label = self.parse_folders(txt_path, folder_path)
self.num_class = np.unique(np.array(self.label)).shape[0]
image_size = 84
transforms_list = [
transforms.Resize(84),
transforms.CenterCrop(image_size),
transforms.ToTensor(),
]
# Transformation
if setname == 'train' and augment:
self.transform = transforms.Compose(
transforms_list + [transforms.RandomApply([AddGaussianNoise(0., args.sigma)], p=0.3),
transforms.Normalize(np.array([0.4914, 0.4822, 0.4465]),
np.array([0.2023, 0.1994, 0.2010]))]
)
else:
self.transform = transforms.Compose(transforms_list + [transforms.Normalize(np.array([0.4914, 0.4822, 0.4465]),
np.array([0.2023, 0.1994, 0.2010]))])
#self.transform = transforms.Compose(transforms_list)
def parse_folders(self, txt_path, folder_path):
data = []
label = []
lb = -1
self.class_names = []
lines = [x.strip() for x in open(txt_path, 'r').readlines()][1:]
for l in lines:
class_name = l
path = osp.join(folder_path, class_name)
if class_name not in self.class_names:
self.class_names.append(class_name)
lb += 1
#data.append(path)
images = os.listdir(path)
data += [osp.join(path, image) for image in images]
label += [lb] * len(images)
return data, label
def __len__(self):
return len(self.data)
def __getitem__(self, i):
data, label = self.data[i], self.label[i]
if self.use_im_cache:
image = self.transform(data)
else:
image = self.transform(Image.open(data).convert('RGB'))
return image, label
def identity(x):
return x
| 37.928803 | 138 | 0.525085 | 1,352 | 11,720 | 4.361686 | 0.108728 | 0.038155 | 0.033576 | 0.022893 | 0.889096 | 0.886213 | 0.862812 | 0.861794 | 0.847889 | 0.847889 | 0 | 0.031982 | 0.351706 | 11,720 | 308 | 139 | 38.051948 | 0.744143 | 0.0407 | 0 | 0.746781 | 0 | 0 | 0.038311 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.06867 | false | 0 | 0.038627 | 0.025751 | 0.175966 | 0.038627 | 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 |
b774600ceccc9ac2c0d8fe2c3647f68a443da1ed | 300 | py | Python | tools/Polygraphy/polygraphy/tools/debug/subtool/__init__.py | KaliberAI/TensorRT | 34a167558058bb801176430d37d38a46328ab0d2 | [
"Apache-2.0"
] | 5,249 | 2019-06-17T17:20:34.000Z | 2022-03-31T17:56:05.000Z | tools/Polygraphy/polygraphy/tools/debug/subtool/__init__.py | KaliberAI/TensorRT | 34a167558058bb801176430d37d38a46328ab0d2 | [
"Apache-2.0"
] | 1,721 | 2019-06-17T18:13:29.000Z | 2022-03-31T16:09:53.000Z | tools/Polygraphy/polygraphy/tools/debug/subtool/__init__.py | KaliberAI/TensorRT | 34a167558058bb801176430d37d38a46328ab0d2 | [
"Apache-2.0"
] | 1,414 | 2019-06-18T04:01:17.000Z | 2022-03-31T09:16:53.000Z | from polygraphy.tools.debug.subtool.diff_tactics import DiffTactics
from polygraphy.tools.debug.subtool.build import Build
from polygraphy.tools.debug.subtool.precision import Precision
from polygraphy.tools.debug.subtool.reduce import Reduce
from polygraphy.tools.debug.subtool.repeat import Repeat
| 50 | 67 | 0.866667 | 41 | 300 | 6.317073 | 0.317073 | 0.27027 | 0.366795 | 0.46332 | 0.598456 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.066667 | 300 | 5 | 68 | 60 | 0.925 | 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 |
b7cf37f210c20cb65f837358671d8bb3ba7a8091 | 20,912 | py | Python | python/dlxapi/api/spreadsheet_api.py | dlens/dlxapi | 189a6519240ce625d7a9cdb89e305a335d2aa045 | [
"MIT"
] | null | null | null | python/dlxapi/api/spreadsheet_api.py | dlens/dlxapi | 189a6519240ce625d7a9cdb89e305a335d2aa045 | [
"MIT"
] | 1 | 2020-08-20T17:31:43.000Z | 2020-08-20T17:31:43.000Z | python/dlxapi/api/spreadsheet_api.py | dlens/dlxapi | 189a6519240ce625d7a9cdb89e305a335d2aa045 | [
"MIT"
] | null | null | null | # coding: utf-8
"""
Decision Lens API
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # 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 dlxapi.api_client import ApiClient
class SpreadsheetApi(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 create_spreadsheet(self, file, **kwargs): # noqa: E501
"""create_spreadsheet # noqa: E501
Creates spreadsheet from file upload. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_spreadsheet(file, async_req=True)
>>> result = thread.get()
:param async_req bool
:param file file: xls or xlsx file upload (required)
:return: Spreadsheet
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.create_spreadsheet_with_http_info(file, **kwargs) # noqa: E501
else:
(data) = self.create_spreadsheet_with_http_info(file, **kwargs) # noqa: E501
return data
def create_spreadsheet_with_http_info(self, file, **kwargs): # noqa: E501
"""create_spreadsheet # noqa: E501
Creates spreadsheet from file upload. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_spreadsheet_with_http_info(file, async_req=True)
>>> result = thread.get()
:param async_req bool
:param file file: xls or xlsx file upload (required)
:return: Spreadsheet
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['file'] # 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 create_spreadsheet" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'file' is set
if self.api_client.client_side_validation and ('file' not in params or
params['file'] is None): # noqa: E501
raise ValueError("Missing the required parameter `file` when calling `create_spreadsheet`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
if 'file' in params:
local_var_files['file'] = params['file'] # noqa: E501
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
['multipart/form-data']) # noqa: E501
# Authentication setting
auth_settings = ['OAuth2'] # noqa: E501
return self.api_client.call_api(
'/spreadsheet', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='Spreadsheet', # 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 create_spreadsheet_for_kloudless_file(self, kloudless_file, **kwargs): # noqa: E501
"""create_spreadsheet_for_kloudless_file # noqa: E501
Creates spreadsheet from kloudless file # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_spreadsheet_for_kloudless_file(kloudless_file, async_req=True)
>>> result = thread.get()
:param async_req bool
:param KloudlessFile kloudless_file: kloudless file (required)
:return: Spreadsheet
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.create_spreadsheet_for_kloudless_file_with_http_info(kloudless_file, **kwargs) # noqa: E501
else:
(data) = self.create_spreadsheet_for_kloudless_file_with_http_info(kloudless_file, **kwargs) # noqa: E501
return data
def create_spreadsheet_for_kloudless_file_with_http_info(self, kloudless_file, **kwargs): # noqa: E501
"""create_spreadsheet_for_kloudless_file # noqa: E501
Creates spreadsheet from kloudless file # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_spreadsheet_for_kloudless_file_with_http_info(kloudless_file, async_req=True)
>>> result = thread.get()
:param async_req bool
:param KloudlessFile kloudless_file: kloudless file (required)
:return: Spreadsheet
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['kloudless_file'] # 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 create_spreadsheet_for_kloudless_file" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'kloudless_file' is set
if self.api_client.client_side_validation and ('kloudless_file' not in params or
params['kloudless_file'] is None): # noqa: E501
raise ValueError("Missing the required parameter `kloudless_file` when calling `create_spreadsheet_for_kloudless_file`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'kloudless_file' in params:
body_params = params['kloudless_file']
# 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 = ['OAuth2'] # noqa: E501
return self.api_client.call_api(
'/spreadsheet/kloudless', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='Spreadsheet', # 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 delete_spreadsheet(self, id, **kwargs): # noqa: E501
"""Delete spreadsheet and mappings # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_spreadsheet(id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str id: spreadsheet id (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.delete_spreadsheet_with_http_info(id, **kwargs) # noqa: E501
else:
(data) = self.delete_spreadsheet_with_http_info(id, **kwargs) # noqa: E501
return data
def delete_spreadsheet_with_http_info(self, id, **kwargs): # noqa: E501
"""Delete spreadsheet and mappings # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_spreadsheet_with_http_info(id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str id: spreadsheet id (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['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 delete_spreadsheet" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'id' is set
if self.api_client.client_side_validation and ('id' not in params or
params['id'] is None): # noqa: E501
raise ValueError("Missing the required parameter `id` when calling `delete_spreadsheet`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in params:
path_params['id'] = params['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
# Authentication setting
auth_settings = ['OAuth2'] # noqa: E501
return self.api_client.call_api(
'/spreadsheet/{id}', 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None, # 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 get_mappings_for_spreadsheet(self, id, **kwargs): # noqa: E501
"""get_mappings_for_spreadsheet # noqa: E501
Get mappings for spreadsheet # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_mappings_for_spreadsheet(id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str id: spreadsheet id (required)
:param str sheet_name:
:param object import_type: Whether import PROJECT or COST data. Defaults to PROJECT
:param str expand: JSON string containing an array expand specifications for fields. An expand specification must have a path and includes optional properties match, unique, allPossible, limit, offset, orderBy.
:return: Mappings
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_mappings_for_spreadsheet_with_http_info(id, **kwargs) # noqa: E501
else:
(data) = self.get_mappings_for_spreadsheet_with_http_info(id, **kwargs) # noqa: E501
return data
def get_mappings_for_spreadsheet_with_http_info(self, id, **kwargs): # noqa: E501
"""get_mappings_for_spreadsheet # noqa: E501
Get mappings for spreadsheet # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_mappings_for_spreadsheet_with_http_info(id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str id: spreadsheet id (required)
:param str sheet_name:
:param object import_type: Whether import PROJECT or COST data. Defaults to PROJECT
:param str expand: JSON string containing an array expand specifications for fields. An expand specification must have a path and includes optional properties match, unique, allPossible, limit, offset, orderBy.
:return: Mappings
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['id', 'sheet_name', 'import_type', 'expand'] # 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 get_mappings_for_spreadsheet" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'id' is set
if self.api_client.client_side_validation and ('id' not in params or
params['id'] is None): # noqa: E501
raise ValueError("Missing the required parameter `id` when calling `get_mappings_for_spreadsheet`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in params:
path_params['id'] = params['id'] # noqa: E501
query_params = []
if 'sheet_name' in params:
query_params.append(('sheetName', params['sheet_name'])) # noqa: E501
if 'import_type' in params:
query_params.append(('importType', params['import_type'])) # noqa: E501
if 'expand' in params:
query_params.append(('expand', params['expand'])) # noqa: E501
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
# Authentication setting
auth_settings = ['OAuth2'] # noqa: E501
return self.api_client.call_api(
'/spreadsheet/{id}/mappings', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='Mappings', # 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 get_spreadsheet(self, id, **kwargs): # noqa: E501
"""get_spreadsheet # noqa: E501
Get spreadsheet # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_spreadsheet(id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str id: spreadsheet id (required)
:return: Spreadsheet
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_spreadsheet_with_http_info(id, **kwargs) # noqa: E501
else:
(data) = self.get_spreadsheet_with_http_info(id, **kwargs) # noqa: E501
return data
def get_spreadsheet_with_http_info(self, id, **kwargs): # noqa: E501
"""get_spreadsheet # noqa: E501
Get spreadsheet # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_spreadsheet_with_http_info(id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str id: spreadsheet id (required)
:return: Spreadsheet
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['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 get_spreadsheet" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'id' is set
if self.api_client.client_side_validation and ('id' not in params or
params['id'] is None): # noqa: E501
raise ValueError("Missing the required parameter `id` when calling `get_spreadsheet`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in params:
path_params['id'] = params['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
# Authentication setting
auth_settings = ['OAuth2'] # noqa: E501
return self.api_client.call_api(
'/spreadsheet/{id}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='Spreadsheet', # 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)
| 39.606061 | 219 | 0.610272 | 2,365 | 20,912 | 5.145877 | 0.078647 | 0.052588 | 0.023007 | 0.029581 | 0.933443 | 0.919145 | 0.90986 | 0.894166 | 0.891865 | 0.88373 | 0 | 0.017332 | 0.30198 | 20,912 | 527 | 220 | 39.681214 | 0.816401 | 0.334353 | 0 | 0.752688 | 1 | 0 | 0.170488 | 0.039931 | 0 | 0 | 0 | 0 | 0 | 1 | 0.039427 | false | 0 | 0.02509 | 0 | 0.121864 | 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 |
4d59ff55a017fcf8414021a1312bd28d14575a86 | 5,551 | py | Python | asana/resources/gen/project_briefs.py | maany/python-asana | a29f59e7f35461bde836126bbf3629dac1a642ab | [
"MIT"
] | null | null | null | asana/resources/gen/project_briefs.py | maany/python-asana | a29f59e7f35461bde836126bbf3629dac1a642ab | [
"MIT"
] | null | null | null | asana/resources/gen/project_briefs.py | maany/python-asana | a29f59e7f35461bde836126bbf3629dac1a642ab | [
"MIT"
] | null | null | null | # coding=utf-8
class _ProjectBriefs:
def __init__(self, client=None):
self.client = client
def create_project_brief(self, project_gid, params=None, **options):
"""Create a project brief
:param str project_gid: (required) Globally unique identifier for the project.
:param Object params: Parameters for the request
:param **options
- opt_fields {list[str]}: Defines fields to return. Some requests return *compact* representations of objects in order to conserve resources and complete the request more efficiently. Other times requests return more information than you may need. This option allows you to list the exact set of fields that the API should be sure to return for the objects. The field names should be provided as paths, described below. The id of included objects will always be returned, regardless of the field options.
- opt_pretty {bool}: Provides “pretty” output. Provides the response in a “pretty” format. In the case of JSON this means doing proper line breaking and indentation to make it readable. This will take extra time and increase the response size so it is advisable only to use this during debugging.
:return: Object
"""
if params is None:
params = {}
path = "/projects/{project_gid}/project_briefs".replace("{project_gid}", project_gid)
return self.client.post(path, params, **options)
def delete_project_brief(self, project_brief_gid, params=None, **options):
"""Delete a project brief
:param str project_brief_gid: (required) Globally unique identifier for the project brief.
:param Object params: Parameters for the request
:param **options
- opt_fields {list[str]}: Defines fields to return. Some requests return *compact* representations of objects in order to conserve resources and complete the request more efficiently. Other times requests return more information than you may need. This option allows you to list the exact set of fields that the API should be sure to return for the objects. The field names should be provided as paths, described below. The id of included objects will always be returned, regardless of the field options.
- opt_pretty {bool}: Provides “pretty” output. Provides the response in a “pretty” format. In the case of JSON this means doing proper line breaking and indentation to make it readable. This will take extra time and increase the response size so it is advisable only to use this during debugging.
:return: Object
"""
if params is None:
params = {}
path = "/project_briefs/{project_brief_gid}".replace("{project_brief_gid}", project_brief_gid)
return self.client.delete(path, params, **options)
def get_project_brief(self, project_brief_gid, params=None, **options):
"""Get a project brief
:param str project_brief_gid: (required) Globally unique identifier for the project brief.
:param Object params: Parameters for the request
:param **options
- opt_fields {list[str]}: Defines fields to return. Some requests return *compact* representations of objects in order to conserve resources and complete the request more efficiently. Other times requests return more information than you may need. This option allows you to list the exact set of fields that the API should be sure to return for the objects. The field names should be provided as paths, described below. The id of included objects will always be returned, regardless of the field options.
- opt_pretty {bool}: Provides “pretty” output. Provides the response in a “pretty” format. In the case of JSON this means doing proper line breaking and indentation to make it readable. This will take extra time and increase the response size so it is advisable only to use this during debugging.
:return: Object
"""
if params is None:
params = {}
path = "/project_briefs/{project_brief_gid}".replace("{project_brief_gid}", project_brief_gid)
return self.client.get(path, params, **options)
def update_project_brief(self, project_brief_gid, params=None, **options):
"""Update a project brief
:param str project_brief_gid: (required) Globally unique identifier for the project brief.
:param Object params: Parameters for the request
:param **options
- opt_fields {list[str]}: Defines fields to return. Some requests return *compact* representations of objects in order to conserve resources and complete the request more efficiently. Other times requests return more information than you may need. This option allows you to list the exact set of fields that the API should be sure to return for the objects. The field names should be provided as paths, described below. The id of included objects will always be returned, regardless of the field options.
- opt_pretty {bool}: Provides “pretty” output. Provides the response in a “pretty” format. In the case of JSON this means doing proper line breaking and indentation to make it readable. This will take extra time and increase the response size so it is advisable only to use this during debugging.
:return: Object
"""
if params is None:
params = {}
path = "/project_briefs/{project_brief_gid}".replace("{project_brief_gid}", project_brief_gid)
return self.client.put(path, params, **options)
| 89.532258 | 517 | 0.723653 | 792 | 5,551 | 4.996212 | 0.147727 | 0.078848 | 0.056861 | 0.02325 | 0.919131 | 0.919131 | 0.912055 | 0.912055 | 0.899924 | 0.863533 | 0 | 0.00023 | 0.215096 | 5,551 | 61 | 518 | 91 | 0.907964 | 0.725995 | 0 | 0.478261 | 0 | 0 | 0.167453 | 0.112421 | 0 | 0 | 0 | 0 | 0 | 1 | 0.217391 | false | 0 | 0 | 0 | 0.434783 | 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 |
4d9ed58c971360fbe29b675798bbc68c496ca09b | 28,692 | py | Python | silver/tests/api/test_invoice.py | DocTocToc/silver | f1b4a8871fc4a37c8813d3c010bc70dc59c0a6e5 | [
"Apache-2.0"
] | 222 | 2017-01-15T10:30:57.000Z | 2022-03-08T20:34:46.000Z | silver/tests/api/test_invoice.py | DocTocToc/silver | f1b4a8871fc4a37c8813d3c010bc70dc59c0a6e5 | [
"Apache-2.0"
] | 141 | 2017-01-11T10:56:49.000Z | 2021-10-12T11:51:00.000Z | silver/tests/api/test_invoice.py | DocTocToc/silver | f1b4a8871fc4a37c8813d3c010bc70dc59c0a6e5 | [
"Apache-2.0"
] | 76 | 2017-01-10T13:50:27.000Z | 2022-03-25T21:37:00.000Z | # Copyright (c) 2019 Presslabs SRL
#
# 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.
from __future__ import absolute_import
import json
from datetime import timedelta
from decimal import Decimal
from uuid import UUID
import pytest
from six.moves import range
from factory.django import mute_signals
from freezegun import freeze_time
from rest_framework import status
from rest_framework.reverse import reverse
from django.db.models.signals import pre_save
from django.utils import timezone
from django.conf import settings
from silver.models import Invoice, Transaction, DocumentEntry
from silver.tests.api.specs.document_entry import spec_document_entry, document_entry_definition
from silver.tests.api.specs.invoice import spec_invoice, invoice_definition
from silver.fixtures.factories import (
CustomerFactory, ProviderFactory, InvoiceFactory,
SubscriptionFactory, TransactionFactory, PaymentMethodFactory
)
from silver.tests.utils import build_absolute_test_url
def test_post_invoice_without_invoice_entries(authenticated_api_client, customer, provider):
SubscriptionFactory.create()
url = reverse('invoice-list')
provider_url = build_absolute_test_url(reverse('provider-detail', [provider.pk]))
customer_url = build_absolute_test_url(reverse('customer-detail', [customer.pk]))
request_data = {
'provider': provider_url,
'customer': customer_url,
'series': None,
'number': None,
'currency': 'RON',
'invoice_entries': []
}
response = authenticated_api_client.post(url, data=request_data, format='json')
assert response.status_code == status.HTTP_201_CREATED, response.data
invoice = Invoice.objects.get(id=response.data['id'])
invoice_definition.check_response(invoice, response.data, request_data)
def test_post_invoice_with_invoice_entries(authenticated_api_client):
customer = CustomerFactory.create()
provider = ProviderFactory.create()
SubscriptionFactory.create()
url = reverse('invoice-list')
provider_url = build_absolute_test_url(reverse('provider-detail', [provider.pk]))
customer_url = build_absolute_test_url(reverse('customer-detail', [customer.pk]))
request_data = {
'provider': provider_url,
'customer': customer_url,
'series': None,
'number': None,
'currency': 'RON',
'transaction_xe_rate': 1,
'invoice_entries': [{
"description": "Page views",
"unit_price": 10.0,
"quantity": 20}]
}
response = authenticated_api_client.post(url, data=request_data, format='json')
assert response.status_code == status.HTTP_201_CREATED, response.data
invoice = Invoice.objects.get(id=response.data['id'])
invoice_definition.check_response(invoice, response.data, request_data)
assert response.data['invoice_entries'] # content already checked in previous assert
@pytest.mark.parametrize('transaction_currency', ['RON', 'USD'])
def test_post_invoice_with_invoice_entries_without_transaction_xe_rate(
transaction_currency, authenticated_api_client
):
customer = CustomerFactory.create()
provider = ProviderFactory.create()
SubscriptionFactory.create()
url = reverse('invoice-list')
provider_url = build_absolute_test_url(reverse('provider-detail', [provider.pk]))
customer_url = build_absolute_test_url(reverse('customer-detail', [customer.pk]))
request_data = {
'provider': provider_url,
'customer': customer_url,
'series': None,
'number': None,
'currency': 'RON',
'transaction_currency': transaction_currency,
'invoice_entries': [{
"description": "Page views",
"unit_price": 10.0,
"quantity": 20}]
}
response = authenticated_api_client.post(url, data=request_data, format='json')
assert response.status_code == status.HTTP_201_CREATED, response.data
invoice = Invoice.objects.get(id=response.data['id'])
invoice_definition.check_response(invoice, response.data, request_data)
assert response.data['invoice_entries'] # content already checked in previous assert
def test_list_invoices(authenticated_api_client, two_pages_of_invoices):
"""Tests invoice listing as well as pagination"""
assert len(two_pages_of_invoices) == settings.API_PAGE_SIZE * 2 > 2
url = reverse('invoice-list')
response = authenticated_api_client.get(url)
assert response.status_code == status.HTTP_200_OK, response.data
assert len(response.data) == settings.API_PAGE_SIZE
for invoice_data in response.data:
invoice = Invoice.objects.get(id=invoice_data['id'])
assert invoice_data == spec_invoice(invoice)
response = authenticated_api_client.get(url + '?page=2')
assert response.status_code == status.HTTP_200_OK, response.data
assert len(response.data) == settings.API_PAGE_SIZE
for invoice_data in response.data:
invoice = Invoice.objects.get(id=invoice_data['id'])
assert invoice_data == spec_invoice(invoice)
@freeze_time('2019-11-10')
def test_get_invoice(authenticated_api_client, settings, issued_invoice):
invoice = issued_invoice
customer = issued_invoice.customer
issued_invoice.generate_pdf()
with mute_signals(pre_save):
[
TransactionFactory.create(
state=state, invoice=issued_invoice,
payment_method=PaymentMethodFactory(customer=customer)
)
for state in Transaction.States.as_list()
if state not in [Transaction.States.Canceled,
Transaction.States.Refunded,
Transaction.States.Failed]
]
url = reverse('invoice-detail', kwargs={'pk': invoice.pk})
response = authenticated_api_client.get(url, format='json')
assert response.status_code == status.HTTP_200_OK, response.data
# Cast IDs to UUID so the comparison check doesn't fail
data = response.data
data['transactions'][0]['id'] = UUID(data['transactions'][0]['id'])
data['transactions'][1]['id'] = UUID(data['transactions'][1]['id'])
data['transactions'][2]['id'] = UUID(data['transactions'][2]['id'])
invoice_definition.check_response(invoice, response_data=response.data)
def test_delete_invoice(authenticated_api_client):
url = reverse('invoice-detail', kwargs={'pk': 1})
response = authenticated_api_client.delete(url)
assert response.status_code == status.HTTP_405_METHOD_NOT_ALLOWED
assert response.data == {"detail": 'Method "DELETE" not allowed.'}
def test_add_single_invoice_entry(authenticated_api_client, invoice):
url = reverse('invoice-entry-create', kwargs={'document_pk': invoice.pk})
request_data = {
"description": "Page views",
"unit_price": 10.0,
"quantity": 20
}
response = authenticated_api_client.post(url, data=json.dumps(request_data),
content_type='application/json')
invoice = Invoice.objects.all()[0]
total = Decimal(200.0) * Decimal(1 + invoice.sales_tax_percent / 100)
assert response.status_code == status.HTTP_201_CREATED, response.data
entry = DocumentEntry.objects.get(id=response.data['id'])
document_entry_definition.check_response(entry, response.data, request_data)
url = reverse('invoice-detail', kwargs={'pk': invoice.pk})
response = authenticated_api_client.get(url)
invoice_entries = response.data['invoice_entries']
assert invoice_entries == [spec_document_entry(entry)]
def test_try_to_get_invoice_entries(authenticated_api_client, invoice):
url = reverse('invoice-entry-create', kwargs={'document_pk': invoice.pk})
response = authenticated_api_client.get(url)
assert response.status_code == status.HTTP_405_METHOD_NOT_ALLOWED
assert response.data == {"detail": 'Method "GET" not allowed.'}
def test_add_multiple_invoice_entries(authenticated_api_client, invoice):
url = reverse('invoice-entry-create', kwargs={'document_pk': invoice.pk})
request_data = {
"description": "Page views",
"unit_price": 10.0,
"quantity": '20.0',
}
entries_count = 10
for cnt in range(entries_count):
response = authenticated_api_client.post(url, data=json.dumps(request_data),
content_type='application/json')
assert response.status_code == status.HTTP_201_CREATED, response.data
entry = DocumentEntry.objects.get(id=response.data['id'])
document_entry_definition.check_response(entry, response.data, request_data)
url = reverse('invoice-detail', kwargs={'pk': invoice.pk})
response = authenticated_api_client.get(url)
invoice_entries = response.data.get('invoice_entries', None)
assert len(invoice_entries) == entries_count
def test_delete_invoice_entry(authenticated_api_client):
invoice = InvoiceFactory.create()
url = reverse('invoice-entry-create', kwargs={'document_pk': invoice.pk})
request_data = {
"description": "Page views",
"unit_price": 10.0,
"quantity": 20
}
entries_count = 10
for cnt in range(entries_count):
authenticated_api_client.post(url, data=json.dumps(request_data),
content_type='application/json')
url = reverse('invoice-entry-update', kwargs={'document_pk': invoice.pk,
'entry_pk': list(invoice._entries)[0].pk})
response = authenticated_api_client.delete(url)
assert response.status_code == status.HTTP_204_NO_CONTENT
url = reverse('invoice-detail', kwargs={'pk': invoice.pk})
response = authenticated_api_client.get(url)
invoice_entries = response.data.get('invoice_entries', None)
assert len(invoice_entries) == entries_count - 1
def test_add_invoice_entry_in_issued_state(authenticated_api_client):
invoice = InvoiceFactory.create()
invoice.issue()
url = reverse('invoice-entry-create', kwargs={'document_pk': invoice.pk})
request_data = {
"description": "Page views",
"unit_price": 10.0,
"quantity": 20
}
response = authenticated_api_client.post(url, data=json.dumps(request_data),
content_type='application/json')
assert response.status_code == status.HTTP_403_FORBIDDEN
msg = 'Invoice entries can be added only when the invoice is in draft state.'
assert response.data == {'detail': msg}
url = reverse('invoice-detail', kwargs={'pk': invoice.pk})
response = authenticated_api_client.get(url)
invoice_entries = response.data['invoice_entries']
assert invoice_entries == []
def test_add_invoice_entry_in_canceled_state(authenticated_api_client):
invoice = InvoiceFactory.create()
invoice.issue()
invoice.cancel()
url = reverse('invoice-entry-create', kwargs={'document_pk': invoice.pk})
request_data = {
"description": "Page views",
"unit_price": 10.0,
"quantity": 20
}
response = authenticated_api_client.post(url, data=json.dumps(request_data),
content_type='application/json')
assert response.status_code == status.HTTP_403_FORBIDDEN
msg = 'Invoice entries can be added only when the invoice is in draft state.'
assert response.data == {'detail': msg}
url = reverse('invoice-detail', kwargs={'pk': invoice.pk})
response = authenticated_api_client.get(url)
invoice_entries = response.data.get('invoice_entries', None)
assert len(invoice_entries) == 0
def test_add_invoice_entry_in_paid_state(authenticated_api_client):
invoice = InvoiceFactory.create()
invoice.issue()
invoice.pay()
url = reverse('invoice-entry-create', kwargs={'document_pk': invoice.pk})
request_data = {
"description": "Page views",
"unit_price": 10.0,
"quantity": 20
}
response = authenticated_api_client.post(url, data=json.dumps(request_data),
content_type='application/json')
assert response.status_code == status.HTTP_403_FORBIDDEN
msg = 'Invoice entries can be added only when the invoice is in draft state.'
assert response.data == {'detail': msg}
url = reverse('invoice-detail', kwargs={'pk': invoice.pk})
response = authenticated_api_client.get(url)
invoice_entries = response.data.get('invoice_entries', None)
assert len(invoice_entries) == 0
def test_edit_invoice_in_issued_state(authenticated_api_client):
invoice = InvoiceFactory.create()
invoice.issue()
url = reverse('invoice-detail', kwargs={'pk': invoice.pk})
data = {"description": "New Page views"}
response = authenticated_api_client.patch(url, data=json.dumps(data),
content_type='application/json')
assert response.status_code == status.HTTP_400_BAD_REQUEST
assert response.data == {
'non_field_errors': ['You cannot edit the document once it is in issued state.']
}
def test_edit_invoice_in_canceled_state(authenticated_api_client):
invoice = InvoiceFactory.create()
invoice.issue()
invoice.cancel()
url = reverse('invoice-detail', kwargs={'pk': invoice.pk})
data = {"description": "New Page views"}
response = authenticated_api_client.patch(url, data=json.dumps(data),
content_type='application/json')
assert response.status_code == status.HTTP_400_BAD_REQUEST
assert response.data == {
'non_field_errors': ['You cannot edit the document once it is in canceled state.']
}
def test_edit_invoice_in_paid_state(authenticated_api_client):
invoice = InvoiceFactory.create()
invoice.issue()
invoice.pay()
url = reverse('invoice-detail', kwargs={'pk': invoice.pk})
data = {"description": "New Page views"}
response = authenticated_api_client.patch(url, data=json.dumps(data),
content_type='application/json')
assert response.status_code == status.HTTP_400_BAD_REQUEST
assert response.data == {
'non_field_errors': ['You cannot edit the document once it is in paid state.']
}
def test_issue_invoice_with_default_dates(authenticated_api_client):
provider = ProviderFactory.create()
customer = CustomerFactory.create()
invoice = InvoiceFactory.create(provider=provider, customer=customer)
url = reverse('invoice-state', kwargs={'pk': invoice.pk})
data = {'state': 'issued'}
response = authenticated_api_client.put(url, data=json.dumps(data),
content_type='application/json')
assert response.status_code == status.HTTP_200_OK
due_date = timezone.now().date() + timedelta(days=settings.SILVER_DEFAULT_DUE_DAYS)
mandatory_content = {
'issue_date': timezone.now().date().strftime('%Y-%m-%d'),
'due_date': due_date.strftime('%Y-%m-%d'),
'state': 'issued'
}
assert response.status_code == status.HTTP_200_OK
assert all(item in response.data.items() for item in mandatory_content.items())
assert response.data.get('archived_provider', {}) != {}
assert response.data.get('archived_customer', {}) != {}
def test_issue_invoice_with_custom_issue_date(authenticated_api_client):
provider = ProviderFactory.create()
customer = CustomerFactory.create()
invoice = InvoiceFactory.create(provider=provider, customer=customer)
url = reverse('invoice-state', kwargs={'pk': invoice.pk})
data = {'state': 'issued', 'issue_date': '2014-01-01'}
response = authenticated_api_client.put(url, data=json.dumps(data),
content_type='application/json')
assert response.status_code == status.HTTP_200_OK
due_date = timezone.now().date() + timedelta(days=settings.SILVER_DEFAULT_DUE_DAYS)
mandatory_content = {
'issue_date': '2014-01-01',
'due_date': due_date.strftime('%Y-%m-%d'),
'state': 'issued'
}
assert response.status_code == status.HTTP_200_OK
assert all(item in list(response.data.items()) for item in mandatory_content.items())
assert response.data.get('archived_provider', {}) != {}
assert response.data.get('archived_customer', {}) != {}
def test_issue_invoice_with_custom_issue_date_and_due_date(authenticated_api_client):
provider = ProviderFactory.create()
customer = CustomerFactory.create()
invoice = InvoiceFactory.create(provider=provider, customer=customer)
url = reverse('invoice-state', kwargs={'pk': invoice.pk})
data = {
'state': 'issued',
'issue_date': '2014-01-01',
'due_date': '2014-01-20'
}
response = authenticated_api_client.put(url, data=json.dumps(data),
content_type='application/json')
assert response.status_code == status.HTTP_200_OK
mandatory_content = {
'issue_date': '2014-01-01',
'due_date': '2014-01-20',
'state': 'issued'
}
assert response.status_code == status.HTTP_200_OK
assert all(item in list(response.data.items()) for item in mandatory_content.items())
assert response.data.get('archived_provider', {}) != {}
assert response.data.get('archived_customer', {}) != {}
def test_issue_invoice_when_in_issued_state(authenticated_api_client):
provider = ProviderFactory.create()
customer = CustomerFactory.create()
invoice = InvoiceFactory.create(provider=provider, customer=customer)
invoice.issue()
url = reverse('invoice-state', kwargs={'pk': invoice.pk})
data = {'state': 'issued'}
response = authenticated_api_client.put(url, data=json.dumps(data),
content_type='application/json')
assert response.status_code == status.HTTP_403_FORBIDDEN
assert response.data == {
'detail': 'An invoice can be issued only if it is in draft state.'
}
def test_issue_invoice_when_in_paid_state(authenticated_api_client):
provider = ProviderFactory.create()
customer = CustomerFactory.create()
invoice = InvoiceFactory.create(provider=provider, customer=customer)
invoice.issue()
invoice.pay()
url = reverse('invoice-state', kwargs={'pk': invoice.pk})
data = {'state': 'issued'}
response = authenticated_api_client.put(url, data=json.dumps(data),
content_type='application/json')
assert response.status_code == status.HTTP_403_FORBIDDEN
assert response.data == {
'detail': 'An invoice can be issued only if it is in draft state.'
}
def test_pay_invoice_with_default_dates(authenticated_api_client):
provider = ProviderFactory.create()
customer = CustomerFactory.create()
invoice = InvoiceFactory.create(provider=provider, customer=customer)
invoice.issue()
url = reverse('invoice-state', kwargs={'pk': invoice.pk})
data = {'state': 'paid'}
response = authenticated_api_client.put(url, data=json.dumps(data),
content_type='application/json')
assert response.status_code == status.HTTP_200_OK
due_date = timezone.now().date() + timedelta(days=settings.SILVER_DEFAULT_DUE_DAYS)
mandatory_content = {
'issue_date': timezone.now().date().strftime('%Y-%m-%d'),
'due_date': due_date.strftime('%Y-%m-%d'),
'paid_date': timezone.now().date().strftime('%Y-%m-%d'),
'state': 'paid'
}
assert response.status_code == status.HTTP_200_OK
assert all(item in list(response.data.items())
for item in mandatory_content.items())
def test_pay_invoice_with_provided_date(authenticated_api_client):
provider = ProviderFactory.create()
customer = CustomerFactory.create()
invoice = InvoiceFactory.create(provider=provider, customer=customer)
invoice.issue()
url = reverse('invoice-state', kwargs={'pk': invoice.pk})
data = {
'state': 'paid',
'paid_date': '2014-05-05'
}
response = authenticated_api_client.put(url, data=json.dumps(data),
content_type='application/json')
assert response.status_code == status.HTTP_200_OK
due_date = timezone.now().date() + timedelta(days=settings.SILVER_DEFAULT_DUE_DAYS)
mandatory_content = {
'issue_date': timezone.now().date().strftime('%Y-%m-%d'),
'due_date': due_date.strftime('%Y-%m-%d'),
'paid_date': '2014-05-05',
'state': 'paid'
}
assert response.status_code == status.HTTP_200_OK
assert all(item in list(response.data.items())
for item in mandatory_content.items())
def test_pay_invoice_when_in_draft_state(authenticated_api_client):
provider = ProviderFactory.create()
customer = CustomerFactory.create()
invoice = InvoiceFactory.create(provider=provider, customer=customer)
url = reverse('invoice-state', kwargs={'pk': invoice.pk})
data = {'state': 'paid'}
response = authenticated_api_client.put(url, data=json.dumps(data),
content_type='application/json')
assert response.status_code == status.HTTP_403_FORBIDDEN
assert response.data == {
'detail': 'An invoice can be paid only if it is in issued state.'
}
def test_pay_invoice_when_in_paid_state(authenticated_api_client):
provider = ProviderFactory.create()
customer = CustomerFactory.create()
invoice = InvoiceFactory.create(provider=provider, customer=customer)
invoice.issue()
invoice.pay()
url = reverse('invoice-state', kwargs={'pk': invoice.pk})
data = {'state': 'paid'}
response = authenticated_api_client.put(url, data=json.dumps(data),
content_type='application/json')
assert response.status_code == status.HTTP_403_FORBIDDEN
assert response.data == {
'detail': 'An invoice can be paid only if it is in issued state.'
}
def test_cancel_invoice_with_default_dates(authenticated_api_client):
provider = ProviderFactory.create()
customer = CustomerFactory.create()
invoice = InvoiceFactory.create(provider=provider, customer=customer)
invoice.issue()
url = reverse('invoice-state', kwargs={'pk': invoice.pk})
data = {'state': 'canceled'}
response = authenticated_api_client.put(url, data=json.dumps(data),
content_type='application/json')
assert response.status_code == status.HTTP_200_OK
due_date = timezone.now().date() + timedelta(days=settings.SILVER_DEFAULT_DUE_DAYS)
mandatory_content = {
'issue_date': timezone.now().date().strftime('%Y-%m-%d'),
'due_date': due_date.strftime('%Y-%m-%d'),
'cancel_date': timezone.now().date().strftime('%Y-%m-%d'),
'state': 'canceled'
}
assert response.status_code == status.HTTP_200_OK
assert all(item in list(response.data.items())
for item in mandatory_content.items())
def test_cancel_invoice_with_provided_date(authenticated_api_client):
provider = ProviderFactory.create()
customer = CustomerFactory.create()
invoice = InvoiceFactory.create(provider=provider, customer=customer)
invoice.issue()
url = reverse('invoice-state', kwargs={'pk': invoice.pk})
data = {
'state': 'canceled',
'cancel_date': '2014-10-10'
}
response = authenticated_api_client.put(url, data=json.dumps(data),
content_type='application/json')
assert response.status_code == status.HTTP_200_OK
due_date = timezone.now().date() + timedelta(days=settings.SILVER_DEFAULT_DUE_DAYS)
mandatory_content = {
'issue_date': timezone.now().date().strftime('%Y-%m-%d'),
'due_date': due_date.strftime('%Y-%m-%d'),
'cancel_date': '2014-10-10',
'state': 'canceled'
}
assert response.status_code == status.HTTP_200_OK
assert all(item in list(response.data.items())
for item in mandatory_content.items())
def test_cancel_invoice_in_draft_state(authenticated_api_client):
provider = ProviderFactory.create()
customer = CustomerFactory.create()
invoice = InvoiceFactory.create(provider=provider, customer=customer)
url = reverse('invoice-state', kwargs={'pk': invoice.pk})
data = {'state': 'canceled'}
response = authenticated_api_client.put(url, data=json.dumps(data),
content_type='application/json')
assert response.status_code == status.HTTP_403_FORBIDDEN
assert response.data == {
'detail': 'An invoice can be canceled only if it is in issued state.'
}
def test_cancel_invoice_in_canceled_state(authenticated_api_client):
provider = ProviderFactory.create()
customer = CustomerFactory.create()
invoice = InvoiceFactory.create(provider=provider, customer=customer)
invoice.issue()
invoice.cancel()
url = reverse('invoice-state', kwargs={'pk': invoice.pk})
data = {'state': 'canceled'}
response = authenticated_api_client.put(url, data=json.dumps(data),
content_type='application/json')
assert response.status_code == status.HTTP_403_FORBIDDEN
assert response.data == {
'detail': 'An invoice can be canceled only if it is in issued state.'
}
def test_cancel_invoice_in_paid_state(authenticated_api_client):
provider = ProviderFactory.create()
customer = CustomerFactory.create()
invoice = InvoiceFactory.create(provider=provider, customer=customer)
invoice.issue()
invoice.pay()
url = reverse('invoice-state', kwargs={'pk': invoice.pk})
data = {'state': 'canceled'}
response = authenticated_api_client.put(url, data=json.dumps(data),
content_type='application/json')
assert response.status_code == status.HTTP_403_FORBIDDEN
assert response.data == {
'detail': 'An invoice can be canceled only if it is in issued state.'
}
def test_illegal_state_change_when_in_draft_state(authenticated_api_client):
provider = ProviderFactory.create()
customer = CustomerFactory.create()
invoice = InvoiceFactory.create(provider=provider, customer=customer)
url = reverse('invoice-state', kwargs={'pk': invoice.pk})
data = {'state': 'illegal-state'}
response = authenticated_api_client.put(url, data=json.dumps(data),
content_type='application/json')
assert response.status_code == status.HTTP_403_FORBIDDEN
assert response.data == {'detail': 'Illegal state value.'}
def test_illegal_state_change_when_in_issued_state(authenticated_api_client):
provider = ProviderFactory.create()
customer = CustomerFactory.create()
invoice = InvoiceFactory.create(provider=provider, customer=customer)
invoice.issue()
url = reverse('invoice-state', kwargs={'pk': invoice.pk})
data = {'state': 'illegal-state'}
response = authenticated_api_client.put(url, data=json.dumps(data),
content_type='application/json')
assert response.status_code == status.HTTP_403_FORBIDDEN
assert response.data == {'detail': 'Illegal state value.'}
def test_illegal_state_change_when_in_paid_state(authenticated_api_client):
provider = ProviderFactory.create()
customer = CustomerFactory.create()
invoice = InvoiceFactory.create(provider=provider, customer=customer)
invoice.issue()
invoice.pay()
url = reverse('invoice-state', kwargs={'pk': invoice.pk})
data = {'state': 'illegal-state'}
response = authenticated_api_client.put(url, data=json.dumps(data),
content_type='application/json')
assert response.status_code == status.HTTP_403_FORBIDDEN
assert response.data == {'detail': 'Illegal state value.'}
| 38.878049 | 96 | 0.678621 | 3,362 | 28,692 | 5.573171 | 0.078227 | 0.06319 | 0.086887 | 0.052516 | 0.877622 | 0.864333 | 0.849869 | 0.842611 | 0.839569 | 0.831136 | 0 | 0.012596 | 0.203088 | 28,692 | 737 | 97 | 38.930801 | 0.806866 | 0.025721 | 0 | 0.743728 | 0 | 0 | 0.140622 | 0 | 0 | 0 | 0 | 0 | 0.15233 | 1 | 0.05914 | false | 0 | 0.03405 | 0 | 0.09319 | 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 |
4dc4dee4c44fd2373c5bdc641e412fee57a4defd | 1,794 | py | Python | cities_light/migrations/0002_auto_20191001_0605.py | b-dev/django-cities-light | b42d3363dfabd662c9d0878b15b0dde748fec38e | [
"MIT"
] | null | null | null | cities_light/migrations/0002_auto_20191001_0605.py | b-dev/django-cities-light | b42d3363dfabd662c9d0878b15b0dde748fec38e | [
"MIT"
] | null | null | null | cities_light/migrations/0002_auto_20191001_0605.py | b-dev/django-cities-light | b42d3363dfabd662c9d0878b15b0dde748fec38e | [
"MIT"
] | null | null | null | # Generated by Django 2.2.3 on 2019-10-01 06:05
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('cities_light', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='city',
name='default_language',
field=models.CharField(choices=[('en', 'English'), ('ru', 'Russian')], default='en', max_length=2, verbose_name='Default language'),
),
migrations.AlterField(
model_name='citytranslation',
name='source_language',
field=models.CharField(choices=[('en', 'English'), ('ru', 'Russian')], default='en', max_length=2, verbose_name='Source language'),
),
migrations.AlterField(
model_name='country',
name='default_language',
field=models.CharField(choices=[('en', 'English'), ('ru', 'Russian')], default='en', max_length=2, verbose_name='Default language'),
),
migrations.AlterField(
model_name='countrytranslation',
name='source_language',
field=models.CharField(choices=[('en', 'English'), ('ru', 'Russian')], default='en', max_length=2, verbose_name='Source language'),
),
migrations.AlterField(
model_name='region',
name='default_language',
field=models.CharField(choices=[('en', 'English'), ('ru', 'Russian')], default='en', max_length=2, verbose_name='Default language'),
),
migrations.AlterField(
model_name='regiontranslation',
name='source_language',
field=models.CharField(choices=[('en', 'English'), ('ru', 'Russian')], default='en', max_length=2, verbose_name='Source language'),
),
]
| 40.772727 | 144 | 0.590858 | 178 | 1,794 | 5.808989 | 0.258427 | 0.116054 | 0.145068 | 0.168279 | 0.766925 | 0.766925 | 0.766925 | 0.766925 | 0.766925 | 0.766925 | 0 | 0.018437 | 0.244147 | 1,794 | 43 | 145 | 41.72093 | 0.7441 | 0.025084 | 0 | 0.648649 | 1 | 0 | 0.227247 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.027027 | 0 | 0.108108 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 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 |
12881f338156f09c31e9f9596aa461b688b08003 | 56 | py | Python | daemons/sentry/__init__.py | dekoder/LogESP | fa45523b4ad96004583cbf722645afc3f63c9a6d | [
"MIT"
] | 130 | 2018-04-18T08:51:41.000Z | 2022-03-24T18:15:01.000Z | daemons/sentry/__init__.py | Seabreg/LogESP | fa45523b4ad96004583cbf722645afc3f63c9a6d | [
"MIT"
] | 14 | 2018-04-02T19:59:25.000Z | 2021-06-10T17:30:18.000Z | daemons/sentry/__init__.py | Seabreg/LogESP | fa45523b4ad96004583cbf722645afc3f63c9a6d | [
"MIT"
] | 55 | 2018-04-18T08:51:50.000Z | 2022-03-05T02:55:17.000Z |
import daemons.sentry.core
import daemons.sentry.rules
| 14 | 27 | 0.839286 | 8 | 56 | 5.875 | 0.625 | 0.553191 | 0.808511 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.089286 | 56 | 3 | 28 | 18.666667 | 0.921569 | 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 |
12a555f7716887769478410b5c02f2d8d65b9d5b | 126 | py | Python | ivy/array/math.py | saurbhc/ivy | 20b327b4fab543b26ad5a18acf4deddd6e3c804b | [
"Apache-2.0"
] | 161 | 2021-01-20T22:11:13.000Z | 2022-01-09T09:46:33.000Z | ivy/array/math.py | saurbhc/ivy | 20b327b4fab543b26ad5a18acf4deddd6e3c804b | [
"Apache-2.0"
] | 4 | 2021-11-10T17:04:36.000Z | 2021-11-26T06:40:43.000Z | ivy/array/math.py | saurbhc/ivy | 20b327b4fab543b26ad5a18acf4deddd6e3c804b | [
"Apache-2.0"
] | 8 | 2021-02-17T20:56:33.000Z | 2022-01-09T16:45:40.000Z | # global
import abc
# ToDo: implement all math methods here as public class methods
class ArrayWithMath(abc.ABC):
pass
| 14 | 63 | 0.746032 | 18 | 126 | 5.222222 | 0.777778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.198413 | 126 | 8 | 64 | 15.75 | 0.930693 | 0.539683 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.125 | 0 | 1 | 0 | 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 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 7 |
12e13fb8ccb4f78d5e8de77626bf5996d27531b2 | 188 | py | Python | i3-workflow/models/workspace.py | lukasvdberk/i3GroupStart | db4d34bc83e3bdff27e21fe9fa65b148c9b1fc68 | [
"MIT"
] | 5 | 2021-07-05T20:38:24.000Z | 2022-02-28T03:37:53.000Z | i3-workflow/models/workspace.py | lukasvdberk/i3GroupStart | db4d34bc83e3bdff27e21fe9fa65b148c9b1fc68 | [
"MIT"
] | null | null | null | i3-workflow/models/workspace.py | lukasvdberk/i3GroupStart | db4d34bc83e3bdff27e21fe9fa65b148c9b1fc68 | [
"MIT"
] | null | null | null | class Workspace:
def __init__(self, name: str):
self.name = name
def set_name(self, name: str):
self.name = name
def get_name(self):
return self.name
| 18.8 | 34 | 0.590426 | 26 | 188 | 4.038462 | 0.384615 | 0.380952 | 0.209524 | 0.285714 | 0.495238 | 0.495238 | 0.495238 | 0 | 0 | 0 | 0 | 0 | 0.308511 | 188 | 9 | 35 | 20.888889 | 0.807692 | 0 | 0 | 0.285714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.428571 | false | 0 | 0 | 0.142857 | 0.714286 | 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 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 8 |
423d2ce3bde39691cdd9ea7391cd638a59779f76 | 29,767 | py | Python | pkgs/sdk-pkg/src/genie/libs/sdk/triggers/addremove/igmp/nxos/addremove.py | jbronikowski/genielibs | 200a34e5fe4838a27b5a80d5973651b2e34ccafb | [
"Apache-2.0"
] | 94 | 2018-04-30T20:29:15.000Z | 2022-03-29T13:40:31.000Z | pkgs/sdk-pkg/src/genie/libs/sdk/triggers/addremove/igmp/nxos/addremove.py | jbronikowski/genielibs | 200a34e5fe4838a27b5a80d5973651b2e34ccafb | [
"Apache-2.0"
] | 67 | 2018-12-06T21:08:09.000Z | 2022-03-29T18:00:46.000Z | pkgs/sdk-pkg/src/genie/libs/sdk/triggers/addremove/igmp/nxos/addremove.py | jbronikowski/genielibs | 200a34e5fe4838a27b5a80d5973651b2e34ccafb | [
"Apache-2.0"
] | 49 | 2018-06-29T18:59:03.000Z | 2022-03-10T02:07:59.000Z | '''NXOS Implementation for Igmp add-remove triggers'''
# python
from functools import partial
# import pyats
from pyats import aetest
from pyats.utils.objects import Not, NotExists
# Genie Libs
from genie.libs.sdk.libs.utils.mapping import Mapping
from genie.libs.sdk.triggers.addremove.addremove import TriggerAddRemove
from genie.libs.sdk.libs.utils.triggeractions import configure_add_attributes
from genie.libs.conf.igmp.igmp_group import IgmpGroup
# Which key to exclude for Igmp Ops comparison
igmp_exclude = ['maker', 'elapsed_time', 'discontinuity_time',
'keepalive', 'total', 'up_time', 'expire', 'remote',
'last_message_received', 'num_of_comparison', 'rpf_failure',
'total_accept_count', 'total_reject_count', 'notification']
# Which key to exclude for Interface Ops comparison
interface_exclude = ['maker', 'last_change','in_rate','in_rate_pkts',
'out_rate', 'out_rate_pkts', 'in_octets',
'in_pkts', 'in_unicast_pkts', 'out_octets',
'out_pkts', 'out_unicast_pkts', 'out_multicast_pkts',
'in_multicast_pkts', 'last_clear', 'in_broadcast_pkts',
'out_broadcast_pkts', 'bandwidth', 'load_interval',
'port_speed', 'in_crc_errors', 'in_discards',
'unnumbered', '(Tunnel.*)', 'accounting']
class TriggerAddRemoveIgmpEnable(TriggerAddRemove):
"""Apply the Igmp interface enable, add remove added Igmp interface enable"""
__description__ = """Apply the Igmp interface enable, add remove added Igmp interface enable.
trigger_datafile:
Mandatory:
timeout:
max_time (`int`): Maximum wait time for the trigger,
in second. Default: 180
interval (`int`): Wait time between iteration when looping is needed,
in second. Default: 15
method (`str`): Method to recover the device configuration,
Support methods:
'checkpoint': Rollback the configuration by
checkpoint (nxos),
archive file (iosxe),
load the saved running-config file on disk (iosxr)
Optional:
tgn_timeout (`int`): Maximum wait time for all traffic threads to be
restored to the reference rate,
in second. Default: 60
tgn_delay (`int`): Wait time between each poll to verify if traffic is resumed,
in second. Default: 10
timeout_recovery:
Buffer recovery timeout make sure devices are recovered at the end
of the trigger execution. Used when previous timeouts have been exhausted.
max_time (`int`): Maximum wait time for the last step of the trigger,
in second. Default: 180
interval (`int`): Wait time between iteration when looping is needed,
in second. Default: 15
static:
The keys below are dynamically learnt by default.
However, they can also be set to a custom value when provided in the trigger datafile.
vrf: `str`
interface: `str`
(e.g) interface: '(?P<interface>Ethernet1*)' (Regex supported)
OR
interface: 'Ethernet1/1/1' (Specific value)
steps:
1. Learn Igmp Ops/Conf object and store the Igmp interface enable, learn Interface ops to
get interface with ip address and not same to the existing igmp interface.
2. Save the current device configurations through "method" which user uses
3. Add the configuration of interface as igmp originator-id with Igmp Conf object
4. Verify the igmp interface enable from step 3 has configured
5. Remove the igmp interface enable configurations.
6. Recover the device configurations to the one in step 2
7. Learn Igmp Ops again and verify it is the same as the Ops in step 1
"""
@aetest.setup
def verify_prerequisite(self, uut, abstract, steps, timeout):
# learn existing igmp interfaces
super().verify_prerequisite(uut, abstract, steps, timeout)
igmp_keys = self.mapping.keys
# learn interafce ops to get ipv4 up interfaces
self.mapping.requirements = {}
self.mapping.requirements['ops.interface.interface.Interface'] = \
{'requirements':[['info', '(?P<interface>^(?!mgmt).*)', 'ipv4',
'(?P<ip>.*)', 'ip', '(?P<address>.*)'],
['info', '(?P<interface>.*)', 'vrf',
'(?P<add_igmp_intf_vrf>.*)']],
'all_keys': True,
'kwargs':{'attributes': [
'info[(.*)][ipv4][(.*)][ip]',
'info[(.*)][vrf]']},
'exclude': interface_exclude}
super().verify_prerequisite(uut, abstract, steps, timeout)
intf_keys = self.mapping.keys
# find interface
with steps.start("Extracting ipv4 interfaces "
"which are not igmp interfaces") as step:
add_keys = {}
for item in intf_keys:
if all(item['interface'] not in \
i['interface'] for i in igmp_keys):
# attach the add value to mapping keys
add_keys.update({'add_igmp_intf': item['interface'],
'add_igmp_intf_vrf': item['add_igmp_intf_vrf']})
break
if not add_keys:
step.skipped('Could not find up ipv4 interface which is '
'not existed igmp interface')
self.skipped('Could not find up ipv4 interface which is '
'not existed igmp interface', goto=['next_tc'])
self.mapping.keys = [add_keys]
# Mapping of Information between Ops and Conf
# Also permit to dictate which key to verify
mapping = Mapping(requirements={'ops.igmp.igmp.Igmp':{
'requirements':[\
['info', 'vrfs', '(?P<vrf>.*)', 'interfaces',
'(?P<interface>.*)']],
'kwargs':{'attributes': [
'info[vrfs][(.*)][interfaces]']},
'exclude': igmp_exclude}},
config_info={'conf.igmp.Igmp':{
'requirements':[
['device_attr', '{uut}', 'vrf_attr', '(?P<add_igmp_intf_vrf>.*)',
'interface_attr', '(?P<add_igmp_intf>.*)', 'enable', True]],
'verify_conf':False,
'kwargs':{}}},
verify_ops={'ops.igmp.igmp.Igmp':{
'requirements':[\
['info', 'vrfs', '(?P<add_igmp_intf_vrf>.*)', 'interfaces',
'(?P<add_igmp_intf>.*)', 'enable', True]],
'kwargs':{'attributes': ['info[vrfs][(.*)][interfaces]']},
'exclude': igmp_exclude}},
num_values={'vrf': 'all', 'interface': 'all'})
class TriggerAddRemoveIgmpVersion(TriggerAddRemove):
"""Apply Igmp interface version, and remove added Igmp interface version"""
__description__ = """Apply Igmp interface version, and remove added Igmp interface version.
trigger_datafile:
Mandatory:
timeout:
max_time (`int`): Maximum wait time for the trigger,
in second. Default: 180
interval (`int`): Wait time between iteration when looping is needed,
in second. Default: 15
method (`str`): Method to recover the device configuration,
Support methods:
'checkpoint': Rollback the configuration by
checkpoint (nxos),
archive file (iosxe),
load the saved running-config file on disk (iosxr)
Optional:
tgn_timeout (`int`): Maximum wait time for all traffic threads to be
restored to the reference rate,
in second. Default: 60
tgn_delay (`int`): Wait time between each poll to verify if traffic is resumed,
in second. Default: 10
timeout_recovery:
Buffer recovery timeout make sure devices are recovered at the end
of the trigger execution. Used when previous timeouts have been exhausted.
max_time (`int`): Maximum wait time for the last step of the trigger,
in second. Default: 180
interval (`int`): Wait time between iteration when looping is needed,
in second. Default: 15
static:
The keys below are dynamically learnt by default.
However, they can also be set to a custom value when provided in the trigger datafile.
vrf: `str`
interface: `str`
(e.g) interface: '(?P<interface>Ethernet1*)' (Regex supported)
OR
interface: 'Ethernet1/1/1' (Specific value)
steps:
1. Learn Igmp Ops object and store the Igmp which interface version is default value.
2. Save the current device configurations through "method" which user uses
3. Add the configuration of igmp interface version with Igmp Conf object
4. Verify the igmp interface version from step 3 has configured
5. Remove the igmp interface version configurations.
6. Recover the device configurations to the one in step 2
7. Learn Igmp Ops again and verify it is the same as the Ops in step 1
"""
ADD_VERSION = 3
# Mapping of Information between Ops and Conf
# Also permit to dictate which key to verify
mapping = Mapping(requirements={
'ops.igmp.igmp.Igmp':{
'requirements':[\
['info', 'vrfs', '(?P<vrf>.*)', 'interfaces',
'(?P<interface>.*)', 'enable', True],
['info', 'vrfs', '(?P<vrf>.*)', 'interfaces',
'(?P<interface>.*)', 'version', '(?P<version>2)']],
'all_keys': True,
'kwargs':{'attributes': [
'info[vrfs][(.*)]']},
'exclude': igmp_exclude}},
config_info={'conf.igmp.Igmp':{
'requirements':[
['device_attr', '{uut}', 'vrf_attr', '(?P<vrf>.*)',
'interface_attr', '(?P<interface>.*)', 'version',
ADD_VERSION]],
'verify_conf':False,
'kwargs':{}}},
verify_ops={
'ops.igmp.igmp.Igmp':{
'requirements':[\
['info', 'vrfs', '(?P<vrf>.*)', 'interfaces',
'(?P<interface>.*)', 'version', ADD_VERSION]],
'kwargs':{'attributes': [
'info[vrfs][(.*)]']},
'exclude': igmp_exclude}},
num_values={'vrf': 1, 'interface': 1})
class TriggerAddRemoveIgmpJoinGroup(TriggerAddRemove):
"""Apply the Igmp interface join-group, and remove added Igmp interface join-group"""
__description__ = """Apply the Igmp peer(s) sa-filter out, and
remove added Igmp peer(s) sa-filter out.
trigger_datafile:
Mandatory:
timeout:
max_time (`int`): Maximum wait time for the trigger,
in second. Default: 180
interval (`int`): Wait time between iteration when looping is needed,
in second. Default: 15
method (`str`): Method to recover the device configuration,
Support methods:
'checkpoint': Rollback the configuration by
checkpoint (nxos),
archive file (iosxe),
load the saved running-config file on disk (iosxr)
Optional:
add_igmp_group: Trigger yaml file customized add imgp join-group.
tgn_timeout (`int`): Maximum wait time for all traffic threads to be
restored to the reference rate,
in second. Default: 60
tgn_delay (`int`): Wait time between each poll to verify if traffic is resumed,
in second. Default: 10
timeout_recovery:
Buffer recovery timeout make sure devices are recovered at the end
of the trigger execution. Used when previous timeouts have been exhausted.
max_time (`int`): Maximum wait time for the last step of the trigger,
in second. Default: 180
interval (`int`): Wait time between iteration when looping is needed,
in second. Default: 15
static:
The keys below are dynamically learnt by default.
However, they can also be set to a custom value when provided in the trigger datafile.
vrf: `str`
join_group: `str`
group: `str`
interface: `str`
(e.g) interface: '(?P<interface>Ethernet1*)' (Regex supported)
OR
interface: 'Ethernet1/1/1' (Specific value)
steps:
1. Learn Igmp Ops object and store the Igmp interface(s) which does not have added join-group.
2. Save the current device configurations through "method" which user uses
3. Add the configuration of igmp interface join-group with Igmp Conf object
4. Verify the igmp interface join-group from step 3 has configured
5. Remove the igmp interface join-group configurations.
6. Recover the device configurations to the one in step 2
7. Learn Igmp Ops again and verify it is the same as the Ops in step 1
"""
ADD_JOIN_GROUP = '234.1.1.2 *'
@aetest.setup
def verify_prerequisite(self, uut, abstract, steps, timeout, add_igmp_group=None):
self.timeout = timeout
try:
self.pre_snap = self.mapping.learn_ops(device=uut,
abstract=abstract,
steps=steps,
timeout=timeout)
except Exception as e:
self.errored("Section failed due to: '{e}'".format(e=e))
# nothing in the static groups,
# then learn if any groups to have some vrf interface value
if any(not item for item in self.mapping.keys):
self.mapping.requirements['ops.igmp.igmp.Igmp']['requirements'] = \
[['info', 'vrfs', '(?P<vrf>.*)', 'interfaces',
'(?P<interface>.*)', 'group', '(?P<group>.*)', '(?P<dummy>.*)']] # incase there is nothing learned
try:
self.pre_snap = self.mapping.learn_ops(device=uut,
abstract=abstract,
steps=steps,
timeout=timeout)
except Exception as e:
self.errored("Section failed due to: '{e}'".format(e=e))
if any(not item for item in self.mapping.keys):
self.skipped('Cannot learn the feature', goto=['next_tc'])
with steps.start("Check if added group %s not in the "
"existing groups" % self.ADD_JOIN_GROUP) as step:
# learn igmp ops to have existing igmp interfaces
if any(self.ADD_JOIN_GROUP in \
item.get('join_group', '') for item in self.mapping.keys):
if add_igmp_group:
self.ADD_JOIN_GROUP = add_igmp_group
else:
self.skipped('Could not find join_group does not '
'include the added group %s' % self.ADD_JOIN_GROUP, goto=['next_tc'])
# attach the add value to mapping keys
[item.update({'add_igmp_group': self.ADD_JOIN_GROUP.split()[0],
'add_igmp_source': self.ADD_JOIN_GROUP.split()[1],
'add_igmp_group_key': self.ADD_JOIN_GROUP}) for item in self.mapping.keys]
step.passed('Will add group %s' % self.ADD_JOIN_GROUP)
# Mapping of Information between Ops and Conf
# Also permit to dictate which key to verify
mapping = Mapping(requirements={
'ops.igmp.igmp.Igmp':{
'requirements':[\
['info', 'vrfs', '(?P<vrf>.*)', 'interfaces',
'(?P<interface>.*)', 'join_group', '(?P<join_group>.*)',
'group', '(?P<group>.*)']],
'all_keys': True,
'kwargs':{'attributes': [
'info[vrfs][(.*)][interfaces][(.*)][join_group][(.*)]',
'info[vrfs][(.*)][interfaces][(.*)][static_group][(.*)]',
'info[vrfs][(.*)][interfaces][(.*)][group][(.*)]']},
'exclude': igmp_exclude}},
config_info={'conf.igmp.Igmp':{
'requirements':[
[partial(configure_add_attributes, # callable configuration
add_obj=IgmpGroup,
base=[['device_attr', '{uut}', 'vrf_attr', '(?P<vrf>.*)',
'interface_attr', '(?P<interface>.*)']],
add_attribute=[['join_group', '(?P<add_igmp_group>.*)'],
['join_group_source_addr', '(?P<add_igmp_source>.*)'],],
add_method='add_groups',
)]],
'verify_conf':False,
'kwargs':{}}},
verify_ops={
'ops.igmp.igmp.Igmp':{
'requirements':[\
['info', 'vrfs', '(?P<vrf>.*)', 'interfaces',
'(?P<interface>.*)', 'join_group', '(?P<add_igmp_group_key>.*)',
'group', '(?P<add_igmp_group>.*)'],
['info', 'vrfs', '(?P<vrf>.*)', 'interfaces',
'(?P<interface>.*)', 'join_group', '(?P<add_igmp_group_key>.*)',
'source', '(?P<add_igmp_source>.*)'],
['info', 'vrfs', '(?P<vrf>.*)', 'interfaces',
'(?P<interface>.*)', 'group', '(?P<add_igmp_group>.*)',
'last_reporter', '([\w\.]+)']],
'kwargs':{'attributes': [
'info[vrfs][(.*)][interfaces][(.*)][join_group][(.*)]',
'info[vrfs][(.*)][interfaces][(.*)][static_group][(.*)]',
'info[vrfs][(.*)][interfaces][(.*)][group][(.*)]']},
'exclude': igmp_exclude}},
num_values={'vrf': 1, 'interface': 1, 'join_group': 1, 'group': 1, 'source': 1})
class TriggerAddRemoveIgmpStaticGroup(TriggerAddRemove):
"""Apply the Igmp interface static-group, and remove added Igmp interface static-group"""
__description__ = """Apply the Igmp interface static-group,
and remove added Igmp interface static-group.
trigger_datafile:
Mandatory:
timeout:
max_time (`int`): Maximum wait time for the trigger,
in second. Default: 180
interval (`int`): Wait time between iteration when looping is needed,
in second. Default: 15
method (`str`): Method to recover the device configuration,
Support methods:
'checkpoint': Rollback the configuration by
checkpoint (nxos),
archive file (iosxe),
load the saved running-config file on disk (iosxr)
Optional:
tgn_timeout (`int`): Maximum wait time for all traffic threads to be
restored to the reference rate,
in second. Default: 60
tgn_delay (`int`): Wait time between each poll to verify if traffic is resumed,
in second. Default: 10
timeout_recovery:
Buffer recovery timeout make sure devices are recovered at the end
of the trigger execution. Used when previous timeouts have been exhausted.
max_time (`int`): Maximum wait time for the last step of the trigger,
in second. Default: 180
interval (`int`): Wait time between iteration when looping is needed,
in second. Default: 15
static:
The keys below are dynamically learnt by default.
However, they can also be set to a custom value when provided in the trigger datafile.
vrf: `str`
static_group: `str`
group: `str`
interface: `str`
(e.g) interface: '(?P<interface>Ethernet1*)' (Regex supported)
OR
interface: 'Ethernet1/1/1' (Specific value)
steps:
1. Learn Igmp Ops object and store the Igmp interface(s) which does not have added static-group.
2. Save the current device configurations through "method" which user uses
3. Add the configuration of igmp interface static-group with Igmp Conf object
4. Verify the igmp interface static-group from step 3 has configured
5. Remove the igmp interface static-group configurations.
6. Recover the device configurations to the one in step 2
7. Learn Igmp Ops again and verify it is the same as the Ops in step 1
"""
ADD_STATIC_GROUP = '234.1.1.2 *'
@aetest.setup
def verify_prerequisite(self, uut, abstract, steps, timeout, add_igmp_group=None):
self.timeout = timeout
try:
self.pre_snap = self.mapping.learn_ops(device=uut,
abstract=abstract,
steps=steps,
timeout=timeout)
except Exception as e:
self.errored("Section failed due to: '{e}'".format(e=e))
# nothing in the static groups,
# then learn if any groups to have some vrf interface value
if any(not item for item in self.mapping.keys):
self.mapping.requirements['ops.igmp.igmp.Igmp']['requirements'] = \
[['info', 'vrfs', '(?P<vrf>.*)', 'interfaces',
'(?P<interface>.*)', 'group', '(?P<group>.*)', '(?P<dummy>.*)']] # incase there is nothing learned
try:
self.pre_snap = self.mapping.learn_ops(device=uut,
abstract=abstract,
steps=steps,
timeout=timeout)
except Exception as e:
self.errored("Section failed due to: '{e}'".format(e=e))
if any(not item for item in self.mapping.keys):
self.skipped('Cannot learn the feature', goto=['next_tc'])
with steps.start("Check if added group %s not in the "
"existing groups" % self.ADD_STATIC_GROUP) as step:
# learn igmp ops to have existing igmp interfaces
if any(self.ADD_STATIC_GROUP in \
item.get('static_group', '') for item in self.mapping.keys):
if add_igmp_group:
self.ADD_STATIC_GROUP = add_igmp_group
else:
self.skipped('Could not find static_group does not '
'include the added group %s' % self.ADD_STATIC_GROUP, goto=['next_tc'])
# attach the add value to mapping keys
[item.update({'add_igmp_group': self.ADD_STATIC_GROUP.split()[0],
'add_igmp_source': self.ADD_STATIC_GROUP.split()[1],
'add_igmp_group_key': self.ADD_STATIC_GROUP}) for item in self.mapping.keys]
step.passed('Will add group %s' % self.ADD_STATIC_GROUP)
# Mapping of Information between Ops and Conf
# Also permit to dictate which key to verify
mapping = Mapping(requirements={
'ops.igmp.igmp.Igmp':{
'requirements':[\
['info', 'vrfs', '(?P<vrf>.*)', 'interfaces',
'(?P<interface>.*)', 'static_group', '(?P<static_group>.*)',
'group', '(?P<group>.*)']],
'all_keys': True,
'kwargs':{'attributes': [
'info[vrfs][(.*)][interfaces][(.*)][join_group][(.*)]',
'info[vrfs][(.*)][interfaces][(.*)][static_group][(.*)]',
'info[vrfs][(.*)][interfaces][(.*)][group][(.*)]']},
'exclude': igmp_exclude}},
config_info={'conf.igmp.Igmp':{
'requirements':[
[partial(configure_add_attributes, # callable configuration
add_obj=IgmpGroup,
base=[['device_attr', '{uut}', 'vrf_attr', '(?P<vrf>.*)',
'interface_attr', '(?P<interface>.*)']],
add_attribute=[['static_group', '(?P<add_igmp_group>.*)'],
['static_group_source_addr', '(?P<add_igmp_source>.*)'],],
add_method='add_groups',
)]],
'verify_conf':False,
'kwargs':{}}},
verify_ops={
'ops.igmp.igmp.Igmp':{
'requirements':[\
['info', 'vrfs', '(?P<vrf>.*)', 'interfaces',
'(?P<interface>.*)', 'static_group', '(?P<add_igmp_group_key>.*)',
'group', '(?P<add_igmp_group>.*)'],
['info', 'vrfs', '(?P<vrf>.*)', 'interfaces',
'(?P<interface>.*)', 'static_group', '(?P<add_igmp_group_key>.*)',
'source', '(?P<add_igmp_source>.*)'],
['info', 'vrfs', '(?P<vrf>.*)', 'interfaces',
'(?P<interface>.*)', 'group', '(?P<add_igmp_group>.*)', 'last_reporter', '([\w\.]+)']],
'kwargs':{'attributes': [
'info[vrfs][(.*)][interfaces][(.*)][join_group][(.*)]',
'info[vrfs][(.*)][interfaces][(.*)][static_group][(.*)]',
'info[vrfs][(.*)][interfaces][(.*)][group][(.*)]']},
'exclude': igmp_exclude}},
num_values={'vrf': 1, 'interface': 1, 'static_group': 1, 'group': 1, 'source': 1})
| 54.71875 | 124 | 0.472167 | 2,834 | 29,767 | 4.84686 | 0.105152 | 0.017836 | 0.026209 | 0.012231 | 0.856945 | 0.837507 | 0.812536 | 0.797903 | 0.782324 | 0.768564 | 0 | 0.008564 | 0.419424 | 29,767 | 543 | 125 | 54.819521 | 0.786252 | 0.047502 | 0 | 0.713964 | 0 | 0.004505 | 0.557723 | 0.048518 | 0 | 0 | 0 | 0 | 0 | 1 | 0.006757 | false | 0.004505 | 0.015766 | 0 | 0.056306 | 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 |
4257621f850c4c78ccd69b54d926fcbccce9e65d | 131 | py | Python | tests/test-cases/typeinfer_basecase/case16/file1.py | SMAT-Lab/Scalpel | 1022200043f2d9e8c24256821b863997ab34dd49 | [
"Apache-2.0"
] | 102 | 2021-12-15T09:08:48.000Z | 2022-03-24T15:15:25.000Z | tests/test-cases/typeinfer_basecase/case16/file1.py | StarWatch27/Scalpel | 8853e6e84f318f3cfeda0e03d274748b2fbe30fa | [
"Apache-2.0"
] | 11 | 2021-12-04T11:48:31.000Z | 2022-03-21T09:21:45.000Z | tests/test-cases/typeinfer_basecase/case16/file1.py | StarWatch27/Scalpel | 8853e6e84f318f3cfeda0e03d274748b2fbe30fa | [
"Apache-2.0"
] | 11 | 2021-12-04T11:47:41.000Z | 2022-02-06T09:04:39.000Z | from file2 import imported_function
class MyClass:
@staticmethod
def class_method():
return imported_function()
| 14.555556 | 35 | 0.717557 | 14 | 131 | 6.5 | 0.785714 | 0.351648 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009901 | 0.229008 | 131 | 8 | 36 | 16.375 | 0.891089 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | true | 0 | 0.4 | 0.2 | 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 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 7 |
425ca3661a1d2218fd98a26735168fee60fc5b1d | 4,907 | py | Python | boundary_iou/lvis_instance_api/colormap.py | bowenc0221/boundary-iou-api | 37d25586a677b043ed585f10e5c42d4e80176ea9 | [
"BSD-2-Clause-FreeBSD"
] | 153 | 2021-03-30T20:32:19.000Z | 2022-03-30T03:28:59.000Z | boundary_iou/lvis_instance_api/colormap.py | xuwenlong0315/boundary-iou-api | 37d25586a677b043ed585f10e5c42d4e80176ea9 | [
"BSD-2-Clause-FreeBSD"
] | 8 | 2021-04-05T04:13:50.000Z | 2021-12-26T23:49:50.000Z | boundary_iou/lvis_instance_api/colormap.py | xuwenlong0315/boundary-iou-api | 37d25586a677b043ed585f10e5c42d4e80176ea9 | [
"BSD-2-Clause-FreeBSD"
] | 14 | 2021-04-04T23:16:32.000Z | 2022-03-13T07:29:08.000Z | # Copyright (c) 2019, Agrim Gupta and Ross Girshick
# All rights reserved.
"""An awesome colormap for really neat visualizations. Taken from detectron."""
import numpy as np
def colormap(rgb=False):
color_list = np.array(
[
0.000,
0.447,
0.741,
0.850,
0.325,
0.098,
0.929,
0.694,
0.125,
0.494,
0.184,
0.556,
0.466,
0.674,
0.188,
0.301,
0.745,
0.933,
0.635,
0.078,
0.184,
0.300,
0.300,
0.300,
0.600,
0.600,
0.600,
1.000,
0.000,
0.000,
1.000,
0.500,
0.000,
0.749,
0.749,
0.000,
0.000,
1.000,
0.000,
0.000,
0.000,
1.000,
0.667,
0.000,
1.000,
0.333,
0.333,
0.000,
0.333,
0.667,
0.000,
0.333,
1.000,
0.000,
0.667,
0.333,
0.000,
0.667,
0.667,
0.000,
0.667,
1.000,
0.000,
1.000,
0.333,
0.000,
1.000,
0.667,
0.000,
1.000,
1.000,
0.000,
0.000,
0.333,
0.500,
0.000,
0.667,
0.500,
0.000,
1.000,
0.500,
0.333,
0.000,
0.500,
0.333,
0.333,
0.500,
0.333,
0.667,
0.500,
0.333,
1.000,
0.500,
0.667,
0.000,
0.500,
0.667,
0.333,
0.500,
0.667,
0.667,
0.500,
0.667,
1.000,
0.500,
1.000,
0.000,
0.500,
1.000,
0.333,
0.500,
1.000,
0.667,
0.500,
1.000,
1.000,
0.500,
0.000,
0.333,
1.000,
0.000,
0.667,
1.000,
0.000,
1.000,
1.000,
0.333,
0.000,
1.000,
0.333,
0.333,
1.000,
0.333,
0.667,
1.000,
0.333,
1.000,
1.000,
0.667,
0.000,
1.000,
0.667,
0.333,
1.000,
0.667,
0.667,
1.000,
0.667,
1.000,
1.000,
1.000,
0.000,
1.000,
1.000,
0.333,
1.000,
1.000,
0.667,
1.000,
0.167,
0.000,
0.000,
0.333,
0.000,
0.000,
0.500,
0.000,
0.000,
0.667,
0.000,
0.000,
0.833,
0.000,
0.000,
1.000,
0.000,
0.000,
0.000,
0.167,
0.000,
0.000,
0.333,
0.000,
0.000,
0.500,
0.000,
0.000,
0.667,
0.000,
0.000,
0.833,
0.000,
0.000,
1.000,
0.000,
0.000,
0.000,
0.167,
0.000,
0.000,
0.333,
0.000,
0.000,
0.500,
0.000,
0.000,
0.667,
0.000,
0.000,
0.833,
0.000,
0.000,
1.000,
0.000,
0.000,
0.000,
0.143,
0.143,
0.143,
0.286,
0.286,
0.286,
0.429,
0.429,
0.429,
0.571,
0.571,
0.571,
0.714,
0.714,
0.714,
0.857,
0.857,
0.857,
1.000,
1.000,
1.000,
]
).astype(np.float32)
color_list = color_list.reshape((-1, 3)) * 255
if not rgb:
color_list = color_list[:, ::-1]
return color_list
| 19.318898 | 79 | 0.246383 | 529 | 4,907 | 2.274102 | 0.141777 | 0.295927 | 0.228595 | 0.192851 | 0.694098 | 0.519535 | 0.446384 | 0.423109 | 0.371571 | 0.371571 | 0 | 0.555234 | 0.647646 | 4,907 | 253 | 80 | 19.395257 | 0.140544 | 0.02955 | 0 | 0.88664 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.004049 | false | 0 | 0.004049 | 0 | 0.012146 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 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 | 7 |
c439fc2b941fa65eac2eac326b32d7cb05029871 | 7,453 | py | Python | vpy.py | sheride/equation-learner | ab0debe45f981f7f8fad4eae1aa5502a2b62e87a | [
"MIT"
] | 4 | 2019-08-06T02:17:12.000Z | 2020-03-07T17:20:41.000Z | vpy.py | sheride/equation_learner | ab0debe45f981f7f8fad4eae1aa5502a2b62e87a | [
"MIT"
] | 1 | 2019-07-30T20:46:53.000Z | 2019-07-31T04:10:56.000Z | vpy.py | sheride/equation_learner | ab0debe45f981f7f8fad4eae1aa5502a2b62e87a | [
"MIT"
] | 1 | 2020-10-20T23:19:45.000Z | 2020-10-20T23:19:45.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Jul 18 16:03:21 2019
@author: elijahsheridan
"""
from . import ode
import vpython as vp
from vpython import vector as vec
from vpython.no_notebook import stop_server
import numpy as np
from scipy.integrate import solve_ivp
def justOne(func, x0, tEnd=10, deltat=0.005):
"""
Double pendulum simulation via VPython given an R^4 -> R^4 differential
equation (allows the testing of various such ODEs)
Adapted from https://trinket.io/glowscript/9bdab2cf88
Arguments
func: python function, R^4 -> R^4 system of ODEs
x0: list with 4 elements, initial condition to integrate from in the
form [theta1, omega1, theta2, omega2]
tEnd: time to integrate until
deltat: spacing between sampled functional values (note: not the step
the integrator uses)
"""
# constants
t = 0
theta1, omega1, theta2, omega2 = x0
L1 = 1
L2 = 1
vp.canvas(width=1400, height=750, background=vp.color.white, range=1.75,
autoscale=False, userpan=False, userspin=False, userzoom=False)
# create the ceiling, masses, and strings
ceiling = vp.box(pos=vec(0, 1, 0), size=vec(0.1, 0.05, 0.1),
color=vp.color.gray(0.5))
rball1 = vp.sphere(
pos=vec(ceiling.pos.x+L1*vp.sin(theta1),
ceiling.pos.y-L1*vp.cos(theta1), 0),
radius=0.05, color=vp.color.orange)
rball1.color = vp.color.black
rball1.radius = 0.05
rball2 = vp.sphere(
pos=vec(ceiling.pos.x+L1*vp.sin(theta1)+L2*vp.sin(theta2),
ceiling.pos.y-L1*vp.cos(theta1)-L2*vp.cos(theta2),
0),
radius=0.05, color=vp.color.black, make_trail=True, interval=10,
retain=15)
rball2.color = vp.color.black
rball2.radius = 0.05
rstring1 = vp.cylinder(pos=ceiling.pos, axis=rball1.pos-ceiling.pos,
color=vp.color.gray(0.5), radius=0.008)
rstring2 = vp.cylinder(pos=rball1.pos, axis=rball2.pos-rball1.pos,
color=vp.color.gray(0.5), radius=0.008)
# generating simulation data
actualSol = solve_ivp(func, [0, tEnd], x0,
t_eval=np.linspace(0, tEnd, int(tEnd/deltat)))
# calculation loop
while t < tEnd / deltat:
vp.rate(1/deltat)
rball1.pos = vec(vp.sin(actualSol.y[0][t]),
-vp.cos(actualSol.y[0][t]),
0) + ceiling.pos
rstring1.axis = rball1.pos - ceiling.pos
rball2.pos = rball1.pos + vec(vp.sin(actualSol.y[2][t]),
-vp.cos(actualSol.y[2][t]),
0)
rstring2.axis = rball2.pos - rball1.pos
rstring2.pos = rball1.pos
t = t + 1
stop_server()
def simulateDoublePendula(models, func, x0, tEnd=10, deltat=0.005):
"""
Multiple double pendulum simulation via VPython given an R^4 -> R^4
differential equation (true double pendulum ODEs) and set of trained models
Adapted from https://trinket.io/glowscript/9bdab2cf88
Arguments
models: list of trained EQL/EQL-div models
func: python function, R^4 -> R^4 system of ODEs
x0: list with 4 elements, initial condition to integrate from in the
form [theta1, omega1, theta2, omega2]
tEnd: time to integrate until
deltat: spacing between sampled functional values (note: not the step
the integrator uses)
"""
t = 0
theta1, omega1, theta2, omega2 = x0
L1 = 1
L2 = 1
vp.canvas(width=1400, height=750, background=vp.color.white, range=1.75,
autoscale=False, userpan=False, userspin=False, userzoom=False)
# create the ceiling, masses, and strings
ceiling = vp.box(pos=vec(0, 1, 0), size=vec(0.1, 0.05, 0.1),
color=vp.color.gray(0.5))
# real double pendulum
rball1 = vp.sphere(
pos=vec(ceiling.pos.x+L1*vp.sin(theta1),
ceiling.pos.y-L1*vp.cos(theta1), 0),
radius=0.05, color=vp.color.orange)
rball1.color = vp.color.black
rball1.radius = 0.05
rball2 = vp.sphere(
pos=vec(ceiling.pos.x+L1*vp.sin(theta1)+L2*vp.sin(theta2),
ceiling.pos.y-L1*vp.cos(theta1)-L2*vp.cos(theta2),
0),
radius=0.05, color=vp.color.black, make_trail=True, interval=10,
retain=15)
rball2.color = vp.color.black
rball2.radius = 0.05
rstring1 = vp.cylinder(pos=ceiling.pos, axis=rball1.pos-ceiling.pos,
color=vp.color.gray(0.5), radius=0.008)
rstring2 = vp.cylinder(pos=rball1.pos, axis=rball2.pos-rball1.pos,
color=vp.color.gray(0.5), radius=0.008)
# double pendulums based on learned equations
balls = [None for i in range(len(models) * 2)]
strings = [None for i in range(len(models) * 2)]
colors = [vec(240/255, 133/255, 33/255), vec(110/255, 0, 95/255),
vec(0, 129/255, 131/255)]
for i in range(0, len(balls), 2):
balls[i] = vp.sphere(
pos=vec(ceiling.pos.x+L1*vp.sin(theta1),
ceiling.pos.y-L1*vp.cos(theta1),
0),
radius=0.05, color=colors[int(i/2)])
balls[i].color = colors[int(i/2)]
balls[i].radius = 0.05
balls[i+1] = vp.sphere(
pos=vec(ceiling.pos.x+L1*vp.sin(theta1)+L2*vp.sin(theta2),
ceiling.pos.y-L1*vp.cos(theta1)-L2*vp.cos(theta2),
0),
radius=0.05, color=colors[int(i/2)], make_trail=True, interval=10,
retain=15)
balls[i+1].color = colors[int(i/2)]
balls[i+1].radius = 0.05
strings[i] = vp.cylinder(pos=ceiling.pos,
axis=balls[i].pos-ceiling.pos,
color=vp.color.gray(0.5), radius=0.008)
strings[i+1] = vp.cylinder(pos=balls[i].pos,
axis=balls[i+1].pos-balls[i].pos,
color=vp.color.gray(0.5), radius=0.008)
# generating simulation data
actualSol, modelsSol = ode.odeSolve(models, func, x0, [0, tEnd], deltat)
# calculation loop
while t < tEnd / deltat:
vp.rate(1/deltat)
rball1.pos = vec(vp.sin(actualSol.y[0][t]),
-vp.cos(actualSol.y[0][t]),
0) + ceiling.pos
rstring1.axis = rball1.pos - ceiling.pos
rball2.pos = rball1.pos + vec(vp.sin(actualSol.y[2][t]),
-vp.cos(actualSol.y[2][t]),
0)
rstring2.axis = rball2.pos - rball1.pos
rstring2.pos = rball1.pos
for i in range(0, len(balls), 2):
balls[i].pos = vec(vp.sin(modelsSol[int(i/2)].y[0][t]),
-vp.cos(modelsSol[int(i/2)].y[0][t]),
0) + ceiling.pos
strings[i].axis = balls[i].pos - ceiling.pos
balls[i+1].pos = (balls[i].pos
+ vec(vp.sin(modelsSol[int(i/2)].y[2][t]),
-vp.cos(modelsSol[int(i/2)].y[2][t]),
0))
strings[i+1].axis = balls[i+1].pos - balls[i].pos
strings[i+1].pos = balls[i].pos
t = t + 1
stop_server()
| 37.265 | 79 | 0.551992 | 1,054 | 7,453 | 3.893738 | 0.177419 | 0.05848 | 0.046784 | 0.031189 | 0.834552 | 0.834552 | 0.80848 | 0.774123 | 0.714912 | 0.709552 | 0 | 0.074435 | 0.311418 | 7,453 | 199 | 80 | 37.452261 | 0.725253 | 0.18932 | 0 | 0.706349 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.015873 | false | 0 | 0.047619 | 0 | 0.063492 | 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 |
c4607b665ac7abc9ebd00442b15f19b03aeb61df | 5,153 | py | Python | test/solution_tests/CHK/handlers/test_checkout_handler.py | DPNT-Sourcecode/CHK-jfwz01 | 08541ba5ead6a9d02ca37eef49a661ba04ac2a25 | [
"Apache-2.0"
] | null | null | null | test/solution_tests/CHK/handlers/test_checkout_handler.py | DPNT-Sourcecode/CHK-jfwz01 | 08541ba5ead6a9d02ca37eef49a661ba04ac2a25 | [
"Apache-2.0"
] | null | null | null | test/solution_tests/CHK/handlers/test_checkout_handler.py | DPNT-Sourcecode/CHK-jfwz01 | 08541ba5ead6a9d02ca37eef49a661ba04ac2a25 | [
"Apache-2.0"
] | null | null | null | from lib.solutions.CHK.handlers.checkout_handler import CheckoutHandler
from lib.solutions.CHK.models.stock_keeping_unit import StockKeepUnit
from lib.solutions.CHK.models.special_offer import SpecialOffer
from lib.solutions.CHK.models.supermarket import SuperMarket
class TestCheckoutHandler:
def test_calculate_empty_input(self):
""" Tests the checkout handler calculate function with an empty input
Since it's empty it should return 0.
"""
special_offers_item_a = [SpecialOffer(3, 130, None), SpecialOffer(5, 200, None)]
special_offers_item_b = [SpecialOffer(2, 45, None)]
item_a = StockKeepUnit('A', 50, special_offers_item_a)
item_b = StockKeepUnit('B', 30, special_offers_item_b)
item_c = StockKeepUnit('C', 20, [])
item_d = StockKeepUnit('D', 15, [])
special_offers_item_e = [SpecialOffer(2, 0, item_b)]
item_e = StockKeepUnit('E', 40, special_offers_item_e)
mock_supermarket = SuperMarket([item_a, item_b, item_c, item_d, item_e])
mock_input = ''
expected_return_value = 0
returned_value = CheckoutHandler.calculate(mock_input, mock_supermarket)
assert expected_return_value == returned_value
def test_calculate_invalid_input_only_numbers(self):
""" Tests the checkout handler calculate function with only numbers input.
Since it's invalid it should return -1
"""
special_offers_item_a = [SpecialOffer(3, 130, None), SpecialOffer(5, 200, None)]
special_offers_item_b = [SpecialOffer(2, 45, None)]
item_a = StockKeepUnit('A', 50, special_offers_item_a)
item_b = StockKeepUnit('B', 30, special_offers_item_b)
item_c = StockKeepUnit('C', 20, [])
item_d = StockKeepUnit('D', 15, [])
special_offers_item_e = [SpecialOffer(2, 0, item_b)]
item_e = StockKeepUnit('E', 40, special_offers_item_e)
mock_supermarket = SuperMarket([item_a, item_b, item_c, item_d, item_e])
mock_input = '123'
expected_return_value = -1
returned_value = CheckoutHandler.calculate(mock_input, mock_supermarket)
assert expected_return_value == returned_value
def test_calculate_invalid_input_lowercases(self):
""" Tests the checkout handler calculate function with lowercase letters.
Since it's invalid it should return -1.
"""
special_offers_item_a = [SpecialOffer(3, 130, None), SpecialOffer(5, 200, None)]
special_offers_item_b = [SpecialOffer(2, 45, None)]
item_a = StockKeepUnit('A', 50, special_offers_item_a)
item_b = StockKeepUnit('B', 30, special_offers_item_b)
item_c = StockKeepUnit('C', 20, [])
item_d = StockKeepUnit('D', 15, [])
special_offers_item_e = [SpecialOffer(2, 0, item_b)]
item_e = StockKeepUnit('E', 40, special_offers_item_e)
mock_supermarket = SuperMarket([item_a, item_b, item_c, item_d, item_e])
mock_input = 'ABCDa'
expected_return_value = -1
returned_value = CheckoutHandler.calculate(mock_input, mock_supermarket)
assert expected_return_value == returned_value
def test_calculate_valid_input_single_item(self):
""" Tests the checkout handler calculate function a single item in the input.
For the mock input provided it should return 50.
"""
special_offers_item_a = [SpecialOffer(3, 130, None), SpecialOffer(5, 200, None)]
special_offers_item_b = [SpecialOffer(2, 45, None)]
item_a = StockKeepUnit('A', 50, special_offers_item_a)
item_b = StockKeepUnit('B', 30, special_offers_item_b)
item_c = StockKeepUnit('C', 20, [])
item_d = StockKeepUnit('D', 15, [])
special_offers_item_e = [SpecialOffer(2, 0, item_b)]
item_e = StockKeepUnit('E', 40, special_offers_item_e)
mock_supermarket = SuperMarket([item_a, item_b, item_c, item_d, item_e])
mock_input = 'A'
expected_return_value = 50
returned_value = CheckoutHandler.calculate(mock_input, mock_supermarket)
assert expected_return_value == returned_value
def test_calculate_valid_input_multiple_items(self):
""" Tests the checkout handler calculate function a multiple items in the input.
For the mock input provided it should return 130+45+20=195.
"""
special_offers_item_a = [SpecialOffer(3, 130, None), SpecialOffer(5, 200, None)]
special_offers_item_b = [SpecialOffer(2, 45, None)]
item_a = StockKeepUnit('A', 50, special_offers_item_a)
item_b = StockKeepUnit('B', 30, special_offers_item_b)
item_c = StockKeepUnit('C', 20, [])
item_d = StockKeepUnit('D', 15, [])
special_offers_item_e = [SpecialOffer(2, 0, item_b)]
item_e = StockKeepUnit('E', 40, special_offers_item_e)
mock_supermarket = SuperMarket([item_a, item_b, item_c, item_d, item_e])
mock_input = 'AAABBC'
expected_return_value = 195
returned_value = CheckoutHandler.calculate(mock_input, mock_supermarket)
assert expected_return_value == returned_value
| 46.008929 | 88 | 0.682515 | 672 | 5,153 | 4.904762 | 0.11756 | 0.118325 | 0.154733 | 0.054612 | 0.868629 | 0.845267 | 0.845267 | 0.845267 | 0.774272 | 0.774272 | 0 | 0.035057 | 0.219484 | 5,153 | 111 | 89 | 46.423423 | 0.784436 | 0.113914 | 0 | 0.76 | 0 | 0 | 0.008989 | 0 | 0 | 0 | 0 | 0 | 0.066667 | 1 | 0.066667 | false | 0 | 0.053333 | 0 | 0.133333 | 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 |
674bdd9f33c78322fb3eba8d7da034fecbe320fc | 17,413 | py | Python | iiif_api_services/tests/test_user_permission.py | utlib/utl_iiif_api | e2d77ad5a677487e205b840cc800af46b4697eab | [
"Apache-2.0"
] | 4 | 2019-12-08T18:39:37.000Z | 2021-11-09T19:35:44.000Z | iiif_api_services/tests/test_user_permission.py | utlib/utl_iiif_api | e2d77ad5a677487e205b840cc800af46b4697eab | [
"Apache-2.0"
] | 2 | 2020-06-05T16:45:31.000Z | 2021-06-10T17:30:00.000Z | iiif_api_services/tests/test_user_permission.py | utlib/utl_iiif_api | e2d77ad5a677487e205b840cc800af46b4697eab | [
"Apache-2.0"
] | 1 | 2019-12-08T18:45:52.000Z | 2019-12-08T18:45:52.000Z | from test_addons import APIMongoTestCase
from rest_framework import status
from rest_framework_jwt.settings import api_settings
from django.conf import settings
from iiif_api_services.models.User import User
import os
import json
from iiif_api_services.models.CollectionModel import Collection
from iiif_api_services.models.ManifestModel import Manifest
from iiif_api_services.models.SequenceModel import Sequence
from iiif_api_services.models.RangeModel import Range
from iiif_api_services.models.CanvasModel import Canvas
from iiif_api_services.models.AnnotationModel import Annotation
from iiif_api_services.models.AnnotationListModel import AnnotationList
from iiif_api_services.models.RangeModel import Range
MANIFEST_FULL = os.path.join(os.path.dirname(__file__), 'testData', 'permission', 'manifestFull.json')
COLLECTION_MEDIUM = os.path.join(os.path.dirname(__file__), 'testData', 'collection', 'collectionMedium.json')
class User_Staff_Test_POST_Permission(APIMongoTestCase):
def setUp(self):
self.user = User.create_user('user1', 'test@mail.com', 'user1password')
jwt_payload_handler = api_settings.JWT_PAYLOAD_HANDLER
jwt_encode_handler = api_settings.JWT_ENCODE_HANDLER
payload = jwt_payload_handler(self.user)
token = jwt_encode_handler(payload)
self.client.credentials(HTTP_AUTHORIZATION='JWT ' + token)
def test_to_verify_objects_are_created_with_staff_usernames(self):
self.assertEqual(User.objects.get(username='user1').user_permissions, [])
data = {"manifest": json.loads(open(MANIFEST_FULL).read())}
response = self.client.post('/book1/manifest', data)
if settings.QUEUE_POST_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
self.assertEqual(Manifest.objects[0].ownedBy, ["user1"])
self.assertEqual(Sequence.objects[0].ownedBy, ["user1"])
self.assertEqual(Canvas.objects[0].ownedBy, ["user1"])
self.assertEqual(Annotation.objects[0].ownedBy, ["user1"])
self.assertEqual(AnnotationList.objects[0].ownedBy, ["user1"])
class User_Staff_Test_PUT_PERMISSION(APIMongoTestCase):
def setUp(self):
self.user = User.create_user('user1', 'test@mail.com', 'user1password')
jwt_payload_handler = api_settings.JWT_PAYLOAD_HANDLER
jwt_encode_handler = api_settings.JWT_ENCODE_HANDLER
payload = jwt_payload_handler(self.user)
token = jwt_encode_handler(payload)
self.client.credentials(HTTP_AUTHORIZATION='JWT ' + token)
def test_to_verify_another_staff_cannot_update_an_object_not_owned(self):
data = {"manifest": json.loads(open(MANIFEST_FULL).read())}
response = self.client.post('/book1/manifest', data)
if settings.QUEUE_POST_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
self.user = User.create_user('user2', 'test2@mail.com', 'user1password')
jwt_payload_handler = api_settings.JWT_PAYLOAD_HANDLER
jwt_encode_handler = api_settings.JWT_ENCODE_HANDLER
payload = jwt_payload_handler(self.user)
token = jwt_encode_handler(payload)
self.client.credentials(HTTP_AUTHORIZATION='JWT ' + token)
response = self.client.put('/book1/sequence/s0', {"sequence": data})
if settings.QUEUE_PUT_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_401_UNAUTHORIZED)
self.assertEqual(response.data["responseBody"]["error"], "You don't have the necessary permission to perform this action. Please contact your admin.")
def test_to_verify_an_admin_can_update_any_object(self):
data = {"manifest": json.loads(open(MANIFEST_FULL).read())}
response = self.client.post('/book1/manifest', data)
if settings.QUEUE_POST_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
self.user = User.create_user('admin', 'admin@mail.com', 'adminpassword', True)
jwt_payload_handler = api_settings.JWT_PAYLOAD_HANDLER
jwt_encode_handler = api_settings.JWT_ENCODE_HANDLER
payload = jwt_payload_handler(self.user)
token = jwt_encode_handler(payload)
self.client.credentials(HTTP_AUTHORIZATION='JWT ' + token)
data = {"sequence": {"@id": settings.IIIF_BASE_URL + "/book1/sequence/newSequenceName"}}
response = self.client.put('/book1/sequence/s0', data)
if settings.QUEUE_PUT_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseBody"]["@id"], settings.IIIF_BASE_URL + "/book1/sequence/newSequenceName")
class User_Staff_Test_DELETE_PERMISSION(APIMongoTestCase):
def setUp(self):
self.user = User.create_user('user1', 'test@mail.com', 'user1password')
jwt_payload_handler = api_settings.JWT_PAYLOAD_HANDLER
jwt_encode_handler = api_settings.JWT_ENCODE_HANDLER
payload = jwt_payload_handler(self.user)
token = jwt_encode_handler(payload)
self.client.credentials(HTTP_AUTHORIZATION='JWT ' + token)
def test_to_verify_object_can_be_deleted_in_staff_user_permissions(self):
data = {"manifest": json.loads(open(MANIFEST_FULL).read())}
response = self.client.post('/book1/manifest', data)
if settings.QUEUE_POST_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.delete('/book1/sequence/s0')
if settings.QUEUE_DELETE_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_204_NO_CONTENT)
def test_to_verify_another_staff_cannot_delete_an_object_not_owned(self):
data = {"manifest": json.loads(open(MANIFEST_FULL).read())}
response = self.client.post('/book1/manifest', data)
if settings.QUEUE_POST_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
self.user = User.create_user('user2', 'test2@mail.com', 'user1password')
jwt_payload_handler = api_settings.JWT_PAYLOAD_HANDLER
jwt_encode_handler = api_settings.JWT_ENCODE_HANDLER
payload = jwt_payload_handler(self.user)
token = jwt_encode_handler(payload)
self.client.credentials(HTTP_AUTHORIZATION='JWT ' + token)
response = self.client.delete('/book1/sequence/s0')
if settings.QUEUE_DELETE_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_401_UNAUTHORIZED)
self.assertEqual(response.data["responseBody"]["error"], "You don't have the necessary permission to perform this action. Please contact your admin.")
def test_to_verify_an_admin_can_delete_any_object(self):
data = {"manifest": json.loads(open(MANIFEST_FULL).read())}
response = self.client.post('/book1/manifest', data)
if settings.QUEUE_POST_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
self.user = User.create_user('admin', 'admin@mail.com', 'adminpassword', True)
jwt_payload_handler = api_settings.JWT_PAYLOAD_HANDLER
jwt_encode_handler = api_settings.JWT_ENCODE_HANDLER
payload = jwt_payload_handler(self.user)
token = jwt_encode_handler(payload)
self.client.credentials(HTTP_AUTHORIZATION='JWT ' + token)
response = self.client.delete('/book1/sequence/s0', data)
if settings.QUEUE_DELETE_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_204_NO_CONTENT)
class Test_Admin_Update_Staff_Permission(APIMongoTestCase):
def setUp(self):
self.user = User.create_user('user1', 'test@mail.com', 'user1password')
jwt_payload_handler = api_settings.JWT_PAYLOAD_HANDLER
jwt_encode_handler = api_settings.JWT_ENCODE_HANDLER
payload = jwt_payload_handler(self.user)
token = jwt_encode_handler(payload)
self.client.credentials(HTTP_AUTHORIZATION='JWT ' + token)
data = {"manifest": json.loads(open(MANIFEST_FULL).read())}
response = self.client.post('/book1/manifest', data)
if settings.QUEUE_POST_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
self.user = User.create_user('admin', 'admin@mail.com', 'adminpassword', True)
jwt_payload_handler = api_settings.JWT_PAYLOAD_HANDLER
jwt_encode_handler = api_settings.JWT_ENCODE_HANDLER
payload = jwt_payload_handler(self.user)
token = jwt_encode_handler(payload)
self.client.credentials(HTTP_AUTHORIZATION='JWT ' + token)
def test_an_admin_can_update_a_nested_manifest_user_permissions(self):
self.assertEqual(Manifest.objects[0].ownedBy, ["user1"])
self.assertEqual(Canvas.objects[0].ownedBy, ["user1"])
self.assertEqual(Sequence.objects[0].ownedBy, ["user1"])
self.assertEqual(Annotation.objects[0].ownedBy, ["user1"])
self.assertEqual(Range.objects[0].ownedBy, ["user1"])
data = {"collections": [], "manifests":[settings.IIIF_BASE_URL+'/book1/manifest'], "username": "NEWSTAFF", "action": "ADD"}
response = self.client.put('/auth/admin/updatePermission', data)
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(Manifest.objects[0].ownedBy, ["user1", "NEWSTAFF"])
self.assertEqual(Canvas.objects[0].ownedBy, ["user1", "NEWSTAFF"])
self.assertEqual(Sequence.objects[0].ownedBy, ["user1", "NEWSTAFF"])
self.assertEqual(Annotation.objects[0].ownedBy, ["user1", "NEWSTAFF"])
self.assertEqual(Range.objects[0].ownedBy, ["user1", "NEWSTAFF"])
def test_an_admin_can_update_a_nested_collection_user_permissions(self):
data = {"collection": json.loads(open(COLLECTION_MEDIUM).read())}
response = self.client.post('/collections', data)
if settings.QUEUE_POST_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_201_CREATED)
self.assertEqual(Manifest.objects[0].ownedBy, ["user1"])
self.assertEqual(Manifest.objects[1].ownedBy, [])
self.assertEqual(Manifest.objects[2].ownedBy, [])
self.assertEqual(Collection.objects[0].ownedBy, [])
self.assertEqual(Collection.objects[1].ownedBy, [])
self.assertEqual(Collection.objects[2].ownedBy, [])
data = {"collections": [settings.IIIF_BASE_URL+"/collections/book1"], "manifests":[], "username": "NEWSTAFF", "action": "ADD"}
response = self.client.put('/auth/admin/updatePermission', data)
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(Manifest.objects[0].ownedBy, ["user1", "NEWSTAFF"])
self.assertEqual(Manifest.objects[1].ownedBy, ["NEWSTAFF"])
self.assertEqual(Manifest.objects[2].ownedBy, ["NEWSTAFF"])
self.assertEqual(Collection.objects[0].ownedBy, ["NEWSTAFF"])
self.assertEqual(Collection.objects[1].ownedBy, ["NEWSTAFF"])
self.assertEqual(Collection.objects[2].ownedBy, ["NEWSTAFF"])
def test_an_admin_cannot_update_a_nested_manifest_user_permissions_with_validation_errors(self):
self.assertEqual(Manifest.objects[0].ownedBy, ["user1"])
self.assertEqual(Canvas.objects[0].ownedBy, ["user1"])
self.assertEqual(Sequence.objects[0].ownedBy, ["user1"])
self.assertEqual(Annotation.objects[0].ownedBy, ["user1"])
self.assertEqual(Range.objects[0].ownedBy, ["user1"])
data = {"manifests":[settings.IIIF_BASE_URL+'/book1/manifest'], "username": "NEWSTAFF", "action": "SOMETHING"}
self.assertEqual(Manifest.objects[0].ownedBy, ["user1"])
self.assertEqual(Canvas.objects[0].ownedBy, ["user1"])
self.assertEqual(Sequence.objects[0].ownedBy, ["user1"])
self.assertEqual(Annotation.objects[0].ownedBy, ["user1"])
self.assertEqual(Range.objects[0].ownedBy, ["user1"])
def test_an_admin_can_remove_a_nested_manifest_user_permissions(self):
self.assertEqual(Manifest.objects[0].ownedBy, ["user1"])
self.assertEqual(Canvas.objects[0].ownedBy, ["user1"])
self.assertEqual(Sequence.objects[0].ownedBy, ["user1"])
self.assertEqual(Annotation.objects[0].ownedBy, ["user1"])
self.assertEqual(Range.objects[0].ownedBy, ["user1"])
data = {"collections": [], "manifests":[settings.IIIF_BASE_URL+'/book1/manifest'], "username": "user1", "action": "REMOVE"}
response = self.client.put('/auth/admin/updatePermission', data)
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(Manifest.objects[0].ownedBy, [])
self.assertEqual(Canvas.objects[0].ownedBy, [])
self.assertEqual(Sequence.objects[0].ownedBy, [])
self.assertEqual(Annotation.objects[0].ownedBy, [])
self.assertEqual(Range.objects[0].ownedBy, [])
def test_an_update_user_permissions_with_username_missing_error(self):
data = {"collections": ["somecollectionID"], "manifests":[settings.IIIF_BASE_URL+'/book1/manifest'], "action": "REMOVE"}
response = self.client.put('/auth/admin/updatePermission', data)
self.assertEqual(response.status_code, status.HTTP_422_UNPROCESSABLE_ENTITY)
self.assertEqual(response.data["error"], "username field is required")
def test_an_update_user_permissions_with_non_exisinting_collection(self):
data = {"collections": ["somecollectionID"], "manifests":[], "username": "user1", "action": "REMOVE"}
response = self.client.put('/auth/admin/updatePermission', data)
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
self.assertEqual(response.data["error"], "Collection with @id 'somecollectionID' does not exist.")
def test_an_update_user_permissions_with_non_exisinting_manifest(self):
data = {"collections": [], "manifests":["somemanifestID"], "username": "user1", "action": "REMOVE"}
response = self.client.put('/auth/admin/updatePermission', data)
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
self.assertEqual(response.data["error"], "Manifest with @id 'somemanifestID' does not exist.")
def test_an_update_user_permissions_with_username_validation_error(self):
data = {"collections": ["somecollectionID"], "manifests":[settings.IIIF_BASE_URL+'/book1/manifest'], "username": ["user1"], "action": "REMOVE"}
response = self.client.put('/auth/admin/updatePermission', data)
self.assertEqual(response.status_code, status.HTTP_422_UNPROCESSABLE_ENTITY)
self.assertEqual(response.data["error"], "username must be a string.")
def test_an_update_user_permissions_with_action_missing_error(self):
data = {"collections": ["somecollectionID"], "manifests":[settings.IIIF_BASE_URL+'/book1/manifest'], "username": "user1"}
response = self.client.put('/auth/admin/updatePermission', data)
self.assertEqual(response.status_code, status.HTTP_422_UNPROCESSABLE_ENTITY)
self.assertEqual(response.data["error"], "action field is required. Possible values are 'ADD' and 'REMOVE'.")
def test_an_update_user_permissions_with_action_validation_error(self):
data = {"collections": ["somecollectionID"], "manifests":[settings.IIIF_BASE_URL+'/book1/manifest'], "username": "user1", "action": "INVALID"}
response = self.client.put('/auth/admin/updatePermission', data)
self.assertEqual(response.status_code, status.HTTP_422_UNPROCESSABLE_ENTITY)
self.assertEqual(response.data["error"], "Allowed values for action are 'ADD' and 'REMOVE'.")
| 63.09058 | 158 | 0.717854 | 2,073 | 17,413 | 5.795466 | 0.086348 | 0.088647 | 0.048693 | 0.053271 | 0.902697 | 0.877393 | 0.829199 | 0.80531 | 0.769019 | 0.757616 | 0 | 0.014136 | 0.154999 | 17,413 | 275 | 159 | 63.32 | 0.802365 | 0.028312 | 0 | 0.665272 | 0 | 0 | 0.153437 | 0.019815 | 0 | 0 | 0 | 0 | 0.297071 | 1 | 0.083682 | false | 0.09205 | 0.062762 | 0 | 0.16318 | 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 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 7 |
675d43f66e0bed96056a0aafea168999c27258fc | 5,591 | py | Python | tests/api/test-tport.py | arienchen/pytibrv | 9c198805bc9ac217e9a7f730d3c2dba32bf77336 | [
"BSD-3-Clause"
] | 12 | 2017-03-17T15:02:02.000Z | 2021-11-05T08:48:20.000Z | tests/api/test-tport.py | arienchen/pytibrv | 9c198805bc9ac217e9a7f730d3c2dba32bf77336 | [
"BSD-3-Clause"
] | null | null | null | tests/api/test-tport.py | arienchen/pytibrv | 9c198805bc9ac217e9a7f730d3c2dba32bf77336 | [
"BSD-3-Clause"
] | 6 | 2019-10-04T23:12:25.000Z | 2021-08-02T21:39:41.000Z | from pytibrv.api import *
from pytibrv.status import *
from pytibrv.tport import *
from pytibrv.msg import *
import unittest
class TransportTest(unittest.TestCase):
@classmethod
def setUpClass(cls):
status = tibrv_Open()
assert status == TIBRV_OK, tibrvStatus_GetText(status)
@classmethod
def tearDownClass(cls):
tibrv_Close()
def test_create_default(self):
status, tx = tibrvTransport_Create(None, None, None)
self.assertEqual(TIBRV_OK, status, tibrvStatus_GetText(status))
status, sz = tibrvTransport_GetService(tx)
self.assertEqual(TIBRV_OK, status, tibrvStatus_GetText(status))
self.assertEqual('', sz)
status, sz = tibrvTransport_GetNetwork(tx)
self.assertEqual(TIBRV_OK, status, tibrvStatus_GetText(status))
self.assertEqual('', sz)
status, sz = tibrvTransport_GetDaemon(tx)
self.assertEqual(TIBRV_OK, status, tibrvStatus_GetText(status))
self.assertEqual('7500', sz)
status, sz = tibrvTransport_GetDescription(tx)
self.assertEqual(TIBRV_OK, status, tibrvStatus_GetText(status))
self.assertIsNone(sz)
status = tibrvTransport_Destroy(tx)
self.assertEqual(TIBRV_OK, status, tibrvStatus_GetText(status))
# transport destroyed
# should return TIBRV_INVALID_TRANSPORT
status, sz = tibrvTransport_GetService(tx)
self.assertEqual(TIBRV_INVALID_TRANSPORT, status)
status, sz = tibrvTransport_GetNetwork(tx)
self.assertEqual(TIBRV_INVALID_TRANSPORT, status)
status, sz = tibrvTransport_GetDaemon(tx)
self.assertEqual(TIBRV_INVALID_TRANSPORT, status)
status, sz = tibrvTransport_GetDescription(tx)
self.assertEqual(TIBRV_INVALID_TRANSPORT, status)
def test_create(self):
service = '12345'
network = ';225.1.1.1'
daemon = '2000'
status, tx = tibrvTransport_Create(service, network, daemon)
self.assertEqual(TIBRV_OK, status, tibrvStatus_GetText(status))
status, sz = tibrvTransport_GetService(tx)
self.assertEqual(TIBRV_OK, status, tibrvStatus_GetText(status))
self.assertEqual(service, sz)
status, sz = tibrvTransport_GetNetwork(tx)
self.assertEqual(TIBRV_OK, status, tibrvStatus_GetText(status))
self.assertEqual(network, sz)
status, sz = tibrvTransport_GetDaemon(tx)
self.assertEqual(TIBRV_OK, status, tibrvStatus_GetText(status))
self.assertEqual(daemon, sz)
status = tibrvTransport_SetDescription(tx, 'TEST')
self.assertEqual(TIBRV_OK, status, tibrvStatus_GetText(status))
status, sz = tibrvTransport_GetDescription(tx)
self.assertEqual(TIBRV_OK, status, tibrvStatus_GetText(status))
self.assertEqual('TEST', sz)
status, subj = tibrvTransport_CreateInbox(tx)
self.assertEqual(TIBRV_OK, status, tibrvStatus_GetText(status))
self.assertIsNotNone(subj)
status = tibrvTransport_RequestReliability(tx, 100)
self.assertEqual(TIBRV_OK, status, tibrvStatus_GetText(status))
status = tibrvTransport_Destroy(tx)
self.assertEqual(TIBRV_OK, status, tibrvStatus_GetText(status))
def test_send(self):
status, tx = tibrvTransport_Create(None, None, None)
self.assertEqual(TIBRV_OK, status, tibrvStatus_GetText(status))
status, msg = tibrvMsg_Create()
self.assertEqual(TIBRV_OK, status, tibrvStatus_GetText(status))
status = tibrvMsg_UpdateString(msg, 'DATA', 'TEST')
self.assertEqual(TIBRV_OK, status, tibrvStatus_GetText(status))
status = tibrvMsg_SetSendSubject(msg, 'TEST.A')
self.assertEqual(TIBRV_OK, status, tibrvStatus_GetText(status))
status = tibrvTransport_Send(tx, msg)
self.assertEqual(TIBRV_OK, status, tibrvStatus_GetText(status))
status = tibrvMsg_SetReplySubject(msg, 'TEST.ACK')
self.assertEqual(TIBRV_OK, status, tibrvStatus_GetText(status))
status = tibrvMsg_SetSendSubject(msg, 'TEST.B')
self.assertEqual(TIBRV_OK, status, tibrvStatus_GetText(status))
status = tibrvTransport_Send(tx, msg)
self.assertEqual(TIBRV_OK, status, tibrvStatus_GetText(status))
status = tibrvMsg_Destroy(msg)
self.assertEqual(TIBRV_OK, status, tibrvStatus_GetText(status))
status = tibrvTransport_Destroy(tx)
self.assertEqual(TIBRV_OK, status, tibrvStatus_GetText(status))
def test_request(self):
status, tx = tibrvTransport_Create(None, None, None)
self.assertEqual(TIBRV_OK, status, tibrvStatus_GetText(status))
status, msg = tibrvMsg_Create()
self.assertEqual(TIBRV_OK, status, tibrvStatus_GetText(status))
status = tibrvMsg_UpdateString(msg, 'DATA', 'TEST')
self.assertEqual(TIBRV_OK, status, tibrvStatus_GetText(status))
status = tibrvMsg_SetSendSubject(msg, 'TEST.A')
self.assertEqual(TIBRV_OK, status, tibrvStatus_GetText(status))
status, ack = tibrvTransport_SendRequest(tx, msg, 1.0)
#self.assertEqual(TIBRV_OK, status, tibrvStatus_GetText(status))
self.assertEqual(TIBRV_TIMEOUT, status, tibrvStatus_GetText(status))
self.assertIsNone(ack)
status = tibrvMsg_Destroy(msg)
self.assertEqual(TIBRV_OK, status, tibrvStatus_GetText(status))
status = tibrvTransport_Destroy(tx)
self.assertEqual(TIBRV_OK, status, tibrvStatus_GetText(status))
if __name__ == "__main__":
unittest.main(verbosity=2)
| 36.542484 | 76 | 0.699338 | 594 | 5,591 | 6.36532 | 0.126263 | 0.174557 | 0.195715 | 0.261835 | 0.810368 | 0.810368 | 0.795028 | 0.789209 | 0.775721 | 0.766199 | 0 | 0.005628 | 0.205509 | 5,591 | 152 | 77 | 36.782895 | 0.845565 | 0.021463 | 0 | 0.653846 | 0 | 0 | 0.014816 | 0 | 0 | 0 | 0 | 0 | 0.451923 | 1 | 0.057692 | false | 0 | 0.048077 | 0 | 0.115385 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
677c27f3eb660f9ba30bd5695e14345a7ddc6228 | 214 | py | Python | xsugar/__init__.py | edmundsj/xsugar | 08596f500b043661b9fc807803319ee8f5d6de54 | [
"MIT"
] | null | null | null | xsugar/__init__.py | edmundsj/xsugar | 08596f500b043661b9fc807803319ee8f5d6de54 | [
"MIT"
] | 40 | 2021-03-21T16:08:34.000Z | 2021-05-28T01:52:07.000Z | xsugar/__init__.py | edmundsj/xsugar | 08596f500b043661b9fc807803319ee8f5d6de54 | [
"MIT"
] | null | null | null | import pint
ureg = pint.get_application_registry()
from xsugar.source.conditions import *
from xsugar.source.processing import *
from xsugar.source.experiments import Experiment
from xsugar.test.shorthand import *
| 30.571429 | 48 | 0.831776 | 28 | 214 | 6.285714 | 0.535714 | 0.227273 | 0.272727 | 0.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.098131 | 214 | 6 | 49 | 35.666667 | 0.911917 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.833333 | 0 | 0.833333 | 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 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
678f101b83418e6aaf803d62ec4a68daeec97e88 | 781 | py | Python | pymoo/usage/misc/usage_nds.py | rohitdwivedula/pymoo | a33dfda43bdd0ba99af606b42a9d33ba0c7aabd3 | [
"Apache-2.0"
] | 2 | 2021-09-11T06:43:49.000Z | 2021-11-10T13:36:09.000Z | pymoo/usage/misc/usage_nds.py | rohitdwivedula/pymoo | a33dfda43bdd0ba99af606b42a9d33ba0c7aabd3 | [
"Apache-2.0"
] | 3 | 2021-09-21T14:04:47.000Z | 2022-03-07T13:46:09.000Z | pymoo/usage/misc/usage_nds.py | rohitdwivedula/pymoo | a33dfda43bdd0ba99af606b42a9d33ba0c7aabd3 | [
"Apache-2.0"
] | 3 | 2021-10-09T02:47:26.000Z | 2022-02-10T07:02:37.000Z | from timeit import timeit
import numpy as np
from pymoo.util.nds.non_dominated_sorting import NonDominatedSorting
F = np.random.random((10000, 5))
nds = NonDominatedSorting(method="fast_non_dominated_sort").do(F, only_non_dominated_front=True)
print("Fast Non-Dominated Sorting")
print("result", np.sort(nds))
print("time", timeit("NonDominatedSorting(method='fast_non_dominated_sort').do(F, only_non_dominated_front=True)", number=10, globals=globals()))
nds = NonDominatedSorting(method='efficient_non_dominated_sort').do(F, only_non_dominated_front=True)
print("Fast Non-Dominated Sorting")
print("result", np.sort(nds))
print("time", timeit("NonDominatedSorting(method='efficient_non_dominated_sort').do(F, only_non_dominated_front=True)", number=10, globals=globals()))
| 41.105263 | 150 | 0.796415 | 111 | 781 | 5.369369 | 0.279279 | 0.221477 | 0.107383 | 0.120805 | 0.791946 | 0.791946 | 0.791946 | 0.791946 | 0.791946 | 0.791946 | 0 | 0.01368 | 0.06402 | 781 | 18 | 151 | 43.388889 | 0.801642 | 0 | 0 | 0.333333 | 0 | 0 | 0.394872 | 0.3 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0.5 | 0 | 0 | 0 | null | 1 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 7 |
67a6f69f11cf3f00b71c3e710f10424510ada439 | 166 | py | Python | listeners/events/__init__.py | slack-samples/bolt-python-starter-template | 103bc032e8f158694dbb839beb35545685889525 | [
"MIT"
] | 1 | 2022-03-29T16:13:25.000Z | 2022-03-29T16:13:25.000Z | listeners/events/__init__.py | slack-samples/bolt-python-starter-template | 103bc032e8f158694dbb839beb35545685889525 | [
"MIT"
] | null | null | null | listeners/events/__init__.py | slack-samples/bolt-python-starter-template | 103bc032e8f158694dbb839beb35545685889525 | [
"MIT"
] | null | null | null | from slack_bolt import App
from .app_home_opened import app_home_opened_callback
def register(app: App):
app.event("app_home_opened")(app_home_opened_callback)
| 23.714286 | 58 | 0.819277 | 27 | 166 | 4.62963 | 0.407407 | 0.224 | 0.416 | 0.336 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.108434 | 166 | 6 | 59 | 27.666667 | 0.844595 | 0 | 0 | 0 | 0 | 0 | 0.090361 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.5 | 0 | 0.75 | 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 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
67bb82432b652720d0e696edf2d424ed3014bdc0 | 2,748 | py | Python | flatland/database/population/connector/name_spec_instances.py | erik-soederholm/flatland-model-diagram-editor | 088e27cded9eca2cacba2c6168c03caf4b43ef72 | [
"MIT"
] | 10 | 2021-01-03T16:47:34.000Z | 2022-03-30T18:47:07.000Z | flatland/database/population/connector/name_spec_instances.py | modelint/flatland-model-diagram-editor | 088e27cded9eca2cacba2c6168c03caf4b43ef72 | [
"MIT"
] | 91 | 2021-01-09T02:14:13.000Z | 2022-02-24T10:24:10.000Z | flatland/database/population/connector/name_spec_instances.py | erik-soederholm/flatland-model-diagram-editor | 088e27cded9eca2cacba2c6168c03caf4b43ef72 | [
"MIT"
] | 1 | 2021-01-13T22:13:19.000Z | 2021-01-13T22:13:19.000Z | """
name_spec_instances.py
"""
population = [
# Connector location names
{'Connector location': 'binary association', 'Diagram type': 'class', 'Notation': 'Starr',
'Vertical axis buffer': 6, 'Horizontal axis buffer': 6, 'Vertical end buffer': 11, 'Horizontal end buffer': 20,
'Default name': 'Rxx', 'Optional': False},
{'Connector location': 'generalization', 'Diagram type': 'class', 'Notation': 'Starr',
'Vertical axis buffer': 13, 'Horizontal axis buffer': 16, 'Vertical end buffer': 11, 'Horizontal end buffer': 20,
'Default name': 'Rxx', 'Optional': False},
{'Connector location': 'binary association', 'Diagram type': 'class', 'Notation': 'xUML',
'Vertical axis buffer': 11, 'Horizontal axis buffer': 11, 'Vertical end buffer': 11, 'Horizontal end buffer': 20,
'Default name': 'Rxx', 'Optional': False},
{'Connector location': 'generalization', 'Diagram type': 'class', 'Notation': 'xUML',
'Vertical axis buffer': 11, 'Horizontal axis buffer': 11, 'Vertical end buffer': 11, 'Horizontal end buffer': 20,
'Default name': 'Rxx', 'Optional': False},
{'Connector location': 'binary association', 'Diagram type': 'class', 'Notation': 'Shlaer-Mellor',
'Vertical axis buffer': 11, 'Horizontal axis buffer': 11, 'Vertical end buffer': 11, 'Horizontal end buffer': 20,
'Default name': 'Rxx', 'Optional': False},
{'Connector location': 'generalization', 'Diagram type': 'class', 'Notation': 'Shlaer-Mellor',
'Vertical axis buffer': 11, 'Horizontal axis buffer': 11, 'Vertical end buffer': 11, 'Horizontal end buffer': 20,
'Default name': 'Rxx', 'Optional': False},
{'Connector location': 'transition', 'Diagram type': 'state machine', 'Notation': 'xUML',
'Vertical axis buffer': 6, 'Horizontal axis buffer': 6, 'Vertical end buffer': 11, 'Horizontal end buffer': 20,
'Default name': 'Event XX', 'Optional': False},
{'Connector location': 'initial transition', 'Diagram type': 'state machine', 'Notation': 'xUML',
'Vertical axis buffer': 6, 'Horizontal axis buffer': 6, 'Vertical end buffer': 11, 'Horizontal end buffer': 20,
'Default name': 'Event XX', 'Optional': False},
{'Connector location': 'deletion transition', 'Diagram type': 'state machine', 'Notation': 'xUML',
'Vertical axis buffer': 6, 'Horizontal axis buffer': 6, 'Vertical end buffer': 11, 'Horizontal end buffer': 20,
'Default name': 'Event XX', 'Optional': False},
# Connector location names
{'Connector location': 'class mult', 'Diagram type': 'class', 'Notation': 'Starr',
'Vertical axis buffer': 8, 'Horizontal axis buffer': 8, 'Vertical end buffer': 10, 'Horizontal end buffer': 10,
'Default name': 'xx', 'Optional': False},
] | 62.454545 | 118 | 0.656114 | 315 | 2,748 | 5.71746 | 0.136508 | 0.111049 | 0.129928 | 0.094947 | 0.908384 | 0.883953 | 0.883953 | 0.883953 | 0.810106 | 0.810106 | 0 | 0.030742 | 0.171397 | 2,748 | 44 | 119 | 62.454545 | 0.760211 | 0.026565 | 0 | 0.53125 | 0 | 0 | 0.649419 | 0 | 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 |
c05184d6bd366375937521c85e9e68cc43afecbf | 139 | py | Python | dark_proteome_visualization/handlers/generic.py | Zethson/dark-proteome-visualization | fef978e967c8c655f13c9d7bdc4b0ea6722c1702 | [
"MIT"
] | 2 | 2019-01-12T19:59:56.000Z | 2019-01-19T08:48:33.000Z | dark_proteome_visualization/handlers/generic.py | Zethson/dark-proteome-visualization | fef978e967c8c655f13c9d7bdc4b0ea6722c1702 | [
"MIT"
] | 23 | 2018-12-18T21:04:17.000Z | 2019-01-23T19:16:15.000Z | dark_proteome_visualization/handlers/generic.py | Zethson/dark-proteome-visualization | fef978e967c8c655f13c9d7bdc4b0ea6722c1702 | [
"MIT"
] | 1 | 2019-01-12T21:08:04.000Z | 2019-01-12T21:08:04.000Z | from flask import render_template
from ..app import app
@app.route("/generic")
def generic():
return render_template("generic.html")
| 17.375 | 42 | 0.741007 | 19 | 139 | 5.315789 | 0.578947 | 0.277228 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.136691 | 139 | 7 | 43 | 19.857143 | 0.841667 | 0 | 0 | 0 | 0 | 0 | 0.143885 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | true | 0 | 0.4 | 0.2 | 0.8 | 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 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 7 |
fbe454c8a54b2bc141f2eefebcfc9d54524c688c | 100 | py | Python | users/util.py | matej2/hribi-scraper | 23d184e3ce5b17fdba9bd38e5817cdf5041cc45c | [
"MIT"
] | null | null | null | users/util.py | matej2/hribi-scraper | 23d184e3ce5b17fdba9bd38e5817cdf5041cc45c | [
"MIT"
] | null | null | null | users/util.py | matej2/hribi-scraper | 23d184e3ce5b17fdba9bd38e5817cdf5041cc45c | [
"MIT"
] | null | null | null | from django.contrib.auth.models import User
def print_stats():
print(len(User.objects.all()))
| 16.666667 | 43 | 0.73 | 15 | 100 | 4.8 | 0.866667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.13 | 100 | 5 | 44 | 20 | 0.827586 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | true | 0 | 0.333333 | 0 | 0.666667 | 0.666667 | 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 | 0 | 1 | 0 | 1 | 1 | 0 | 7 |
fbf118f55e0a8505dfa2976ccaa12c95530a3cd8 | 88 | py | Python | LargeScale/data_handler/__init__.py | lywang3081/AFEC | 6d87301cc8291b1779905871e3001471b2b44d8c | [
"MIT"
] | 9 | 2021-11-12T00:53:16.000Z | 2022-01-28T21:27:48.000Z | LargeScale/data_handler/__init__.py | lywang3081/AFEC | 6d87301cc8291b1779905871e3001471b2b44d8c | [
"MIT"
] | 1 | 2021-11-15T20:28:40.000Z | 2021-11-16T01:02:21.000Z | LargeScale/data_handler/__init__.py | lywang3081/AFEC | 6d87301cc8291b1779905871e3001471b2b44d8c | [
"MIT"
] | 1 | 2022-01-12T03:08:58.000Z | 2022-01-12T03:08:58.000Z | from data_handler.dataset_factory import *
from data_handler.incremental_loader import * | 44 | 45 | 0.875 | 12 | 88 | 6.083333 | 0.666667 | 0.219178 | 0.410959 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.079545 | 88 | 2 | 45 | 44 | 0.901235 | 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 |
222ffbc71ea6b2e33c3ab1dc0c359f71d2aa52dd | 21,212 | py | Python | kmip/tests/unit/core/messages/payloads/test_get_usage_allocation.py | ondrap/PyKMIP | c8ea17d8faf827e0f9d004972835128a1a71569f | [
"Apache-2.0"
] | 179 | 2015-03-20T06:08:59.000Z | 2022-03-14T02:24:38.000Z | kmip/tests/unit/core/messages/payloads/test_get_usage_allocation.py | imharshr/PyKMIP | 9403ff3d2aa83de4c786b8eedeb85d169fd4a594 | [
"Apache-2.0"
] | 600 | 2015-04-08T14:14:48.000Z | 2022-03-28T13:49:47.000Z | kmip/tests/unit/core/messages/payloads/test_get_usage_allocation.py | imharshr/PyKMIP | 9403ff3d2aa83de4c786b8eedeb85d169fd4a594 | [
"Apache-2.0"
] | 131 | 2015-03-30T12:51:49.000Z | 2022-03-23T04:34:34.000Z | # Copyright (c) 2017 The Johns Hopkins University/Applied Physics Laboratory
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
import testtools
from kmip.core import utils
from kmip.core.messages import payloads
class TestGetUsageAllocationRequestPayload(testtools.TestCase):
"""
Test suite for the GetUsageAllocation request payload.
"""
def setUp(self):
super(TestGetUsageAllocationRequestPayload, self).setUp()
# Encoding obtained from the KMIP 1.1 testing document, Section 5.1.
#
# This encoding matches the following set of values:
# Request Payload
# Unique Identifier - 2c23217e-f53c-4bdf-ad0a-58a31fd3d4b6
# Usage Limits Count - 500
self.full_encoding = utils.BytearrayStream(
b'\x42\x00\x79\x01\x00\x00\x00\x40'
b'\x42\x00\x94\x07\x00\x00\x00\x24'
b'\x32\x63\x32\x33\x32\x31\x37\x65\x2D\x66\x35\x33\x63\x2D\x34\x62'
b'\x64\x66\x2D\x61\x64\x30\x61\x2D\x35\x38\x61\x33\x31\x66\x64\x33'
b'\x64\x34\x62\x36\x00\x00\x00\x00'
b'\x42\x00\x96\x03\x00\x00\x00\x08\x00\x00\x00\x00\x00\x00\x01\xF4'
)
# This encoding matches the following set of values:
# Request Payload
# Usage Limits Count - 500
self.partial_encoding = utils.BytearrayStream(
b'\x42\x00\x79\x01\x00\x00\x00\x10'
b'\x42\x00\x96\x03\x00\x00\x00\x08\x00\x00\x00\x00\x00\x00\x01\xF4'
)
self.empty_encoding = utils.BytearrayStream(
b'\x42\x00\x79\x01\x00\x00\x00\x00'
)
def tearDown(self):
super(TestGetUsageAllocationRequestPayload, self).tearDown()
def test_init(self):
"""
Test that a GetUsageAllocation request payload can be constructed with
no arguments.
"""
payload = payloads.GetUsageAllocationRequestPayload()
self.assertEqual(None, payload.unique_identifier)
self.assertEqual(None, payload.usage_limits_count)
def test_init_with_args(self):
"""
Test that a GetUsageAllocation request payload can be constructed with
valid values.
"""
payload = payloads.GetUsageAllocationRequestPayload(
unique_identifier='00000000-1111-2222-3333-444444444444',
usage_limits_count=10
)
self.assertEqual(
'00000000-1111-2222-3333-444444444444',
payload.unique_identifier
)
self.assertEqual(10, payload.usage_limits_count)
def test_invalid_unique_identifier(self):
"""
Test that a TypeError is raised when an invalid value is used to set
the unique identifier of a GetUsageAllocation request payload.
"""
kwargs = {'unique_identifier': 0}
self.assertRaisesRegex(
TypeError,
"Unique identifier must be a string.",
payloads.GetUsageAllocationRequestPayload,
**kwargs
)
payload = payloads.GetUsageAllocationRequestPayload()
args = (payload, 'unique_identifier', 0)
self.assertRaisesRegex(
TypeError,
"Unique identifier must be a string.",
setattr,
*args
)
def test_invalid_usage_limits_count(self):
"""
Test that a TypeError is raised when an invalid value is used to set
the usage limits count of a GetUsageAllocation request payload.
"""
kwargs = {'usage_limits_count': 'invalid'}
self.assertRaisesRegex(
TypeError,
"Usage limits count must be an integer.",
payloads.GetUsageAllocationRequestPayload,
**kwargs
)
payload = payloads.GetUsageAllocationRequestPayload()
args = (payload, 'usage_limits_count', 'invalid')
self.assertRaisesRegex(
TypeError,
"Usage limits count must be an integer.",
setattr,
*args
)
def test_read(self):
"""
Test that a GetUsageAllocation request payload can be read from a data
stream.
"""
payload = payloads.GetUsageAllocationRequestPayload()
self.assertEqual(None, payload.unique_identifier)
self.assertEqual(None, payload.usage_limits_count)
payload.read(self.full_encoding)
self.assertEqual(
'2c23217e-f53c-4bdf-ad0a-58a31fd3d4b6',
payload.unique_identifier
)
self.assertEqual(500, payload.usage_limits_count)
def test_read_partial(self):
"""
Test that a GetUsageAllocation request payload can be read from a
partial data stream.
"""
payload = payloads.GetUsageAllocationRequestPayload()
self.assertEqual(None, payload.unique_identifier)
self.assertEqual(None, payload.usage_limits_count)
payload.read(self.partial_encoding)
self.assertEqual(None, payload.unique_identifier)
self.assertEqual(500, payload.usage_limits_count)
def test_read_empty(self):
"""
Test that a GetUsageAllocation request payload can be read from an
empty data stream.
"""
payload = payloads.GetUsageAllocationRequestPayload()
self.assertEqual(None, payload.unique_identifier)
self.assertEqual(None, payload.usage_limits_count)
payload.read(self.empty_encoding)
self.assertEqual(None, payload.unique_identifier)
self.assertEqual(None, payload.usage_limits_count)
def test_write(self):
"""
Test that a GetUsageAllocation request payload can be written to a
data stream.
"""
payload = payloads.GetUsageAllocationRequestPayload(
unique_identifier='2c23217e-f53c-4bdf-ad0a-58a31fd3d4b6',
usage_limits_count=500
)
stream = utils.BytearrayStream()
payload.write(stream)
self.assertEqual(len(self.full_encoding), len(stream))
self.assertEqual(str(self.full_encoding), str(stream))
def test_write_partial(self):
"""
Test that a partial GetUsageAllocation request payload can be written
to a data stream.
"""
payload = payloads.GetUsageAllocationRequestPayload(
usage_limits_count=500
)
stream = utils.BytearrayStream()
payload.write(stream)
self.assertEqual(len(self.partial_encoding), len(stream))
self.assertEqual(str(self.partial_encoding), str(stream))
def test_write_empty(self):
"""
Test that an empty GetUsageAllocation request payload can be written
to a data stream.
"""
payload = payloads.GetUsageAllocationRequestPayload()
stream = utils.BytearrayStream()
payload.write(stream)
self.assertEqual(len(self.empty_encoding), len(stream))
self.assertEqual(str(self.empty_encoding), str(stream))
def test_equal_on_equal(self):
"""
Test that the equality operator returns True when comparing two
GetUsageAllocation request payloads with the same data.
"""
a = payloads.GetUsageAllocationRequestPayload()
b = payloads.GetUsageAllocationRequestPayload()
self.assertTrue(a == b)
self.assertTrue(b == a)
a = payloads.GetUsageAllocationRequestPayload(
unique_identifier='49a1ca88-6bea-4fb2-b450-7e58802c3038',
usage_limits_count=200
)
b = payloads.GetUsageAllocationRequestPayload(
unique_identifier='49a1ca88-6bea-4fb2-b450-7e58802c3038',
usage_limits_count=200
)
self.assertTrue(a == b)
self.assertTrue(b == a)
def test_equal_on_not_equal_unique_identifier(self):
"""
Test that the equality operator returns False when comparing two
GetUsageAllocation request payloads with different unique identifiers.
"""
a = payloads.GetUsageAllocationRequestPayload(
unique_identifier='a'
)
b = payloads.GetUsageAllocationRequestPayload(
unique_identifier='b'
)
self.assertFalse(a == b)
self.assertFalse(b == a)
def test_equal_on_not_equal_usage_limits_count(self):
"""
Test that the equality operator returns False when comparing two
GetUsageAllocation request payloads with different usage limits counts.
"""
a = payloads.GetUsageAllocationRequestPayload(
usage_limits_count=0
)
b = payloads.GetUsageAllocationRequestPayload(
usage_limits_count=1
)
self.assertFalse(a == b)
self.assertFalse(b == a)
def test_equal_on_type_mismatch(self):
"""
Test that the equality operator returns False when comparing two
GetUsageAllocation request payloads with different types.
"""
a = payloads.GetUsageAllocationRequestPayload()
b = 'invalid'
self.assertFalse(a == b)
self.assertFalse(b == a)
def test_not_equal_on_equal(self):
"""
Test that the inequality operator returns False when comparing two
GetUsageAllocation request payloads with the same data.
"""
a = payloads.GetUsageAllocationRequestPayload()
b = payloads.GetUsageAllocationRequestPayload()
self.assertFalse(a != b)
self.assertFalse(b != a)
a = payloads.GetUsageAllocationRequestPayload(
unique_identifier='49a1ca88-6bea-4fb2-b450-7e58802c3038',
usage_limits_count=200
)
b = payloads.GetUsageAllocationRequestPayload(
unique_identifier='49a1ca88-6bea-4fb2-b450-7e58802c3038',
usage_limits_count=200
)
self.assertFalse(a != b)
self.assertFalse(b != a)
def test_not_equal_on_not_equal_unique_identifier(self):
"""
Test that the inequality operator returns True when comparing two
GetUsageAllocation request payloads with different unique identifiers.
"""
a = payloads.GetUsageAllocationRequestPayload(
unique_identifier='a'
)
b = payloads.GetUsageAllocationRequestPayload(
unique_identifier='b'
)
self.assertTrue(a != b)
self.assertTrue(b != a)
def test_not_equal_on_not_equal_usage_limits_count(self):
"""
Test that the inequality operator returns True when comparing two
GetUsageAllocation request payloads with different usage limits counts.
"""
a = payloads.GetUsageAllocationRequestPayload(
usage_limits_count=0
)
b = payloads.GetUsageAllocationRequestPayload(
usage_limits_count=1
)
self.assertTrue(a != b)
self.assertTrue(b != a)
def test_not_equal_on_type_mismatch(self):
"""
Test that the inequality operator returns True when comparing two
GetUsageAllocation request payloads with different types.
"""
a = payloads.GetUsageAllocationRequestPayload()
b = 'invalid'
self.assertTrue(a != b)
self.assertTrue(b != a)
def test_repr(self):
"""
Test that repr can be applied to a GetUsageAllocation request payload.
"""
payload = payloads.GetUsageAllocationRequestPayload(
unique_identifier='49a1ca88-6bea-4fb2-b450-7e58802c3038',
usage_limits_count=1000
)
expected = (
"GetUsageAllocationRequestPayload("
"unique_identifier='49a1ca88-6bea-4fb2-b450-7e58802c3038', "
"usage_limits_count=1000)"
)
observed = repr(payload)
self.assertEqual(expected, observed)
def test_str(self):
"""
Test that str can be applied to a GetUsageAllocation request payload.
"""
payload = payloads.GetUsageAllocationRequestPayload(
unique_identifier='49a1ca88-6bea-4fb2-b450-7e58802c3038',
usage_limits_count=1000
)
expected = str({
'unique_identifier': '49a1ca88-6bea-4fb2-b450-7e58802c3038',
'usage_limits_count': 1000
})
observed = str(payload)
self.assertEqual(expected, observed)
class TestGetUsageAllocationResponsePayload(testtools.TestCase):
"""
Test suite for the GetUsageAllocation response payload.
"""
def setUp(self):
super(TestGetUsageAllocationResponsePayload, self).setUp()
# Encoding obtained from the KMIP 1.1 testing document, Section 5.1.
#
# This encoding matches the following set of values:
# Response Payload
# Unique Identifier - 2c23217e-f53c-4bdf-ad0a-58a31fd3d4b6
self.full_encoding = utils.BytearrayStream(
b'\x42\x00\x7C\x01\x00\x00\x00\x30'
b'\x42\x00\x94\x07\x00\x00\x00\x24'
b'\x32\x63\x32\x33\x32\x31\x37\x65\x2D\x66\x35\x33\x63\x2D\x34\x62'
b'\x64\x66\x2D\x61\x64\x30\x61\x2D\x35\x38\x61\x33\x31\x66\x64\x33'
b'\x64\x34\x62\x36\x00\x00\x00\x00'
)
self.empty_encoding = utils.BytearrayStream(
b'\x42\x00\x7C\x01\x00\x00\x00\x00'
)
def tearDown(self):
super(TestGetUsageAllocationResponsePayload, self).tearDown()
def test_init(self):
"""
Test that a GetUsageAllocation response payload can be constructed
with no arguments.
"""
payload = payloads.GetUsageAllocationResponsePayload()
self.assertEqual(None, payload.unique_identifier)
def test_init_with_args(self):
"""
Test that a GetUsageAllocation response payload can be constructed
with valid values.
"""
payload = payloads.GetUsageAllocationResponsePayload(
unique_identifier='00000000-1111-2222-3333-444444444444'
)
self.assertEqual(
'00000000-1111-2222-3333-444444444444',
payload.unique_identifier
)
def test_invalid_unique_identifier(self):
"""
Test that a TypeError is raised when an invalid value is used to set
the unique identifier of a GetUsageAllocation response payload.
"""
kwargs = {'unique_identifier': 0}
self.assertRaisesRegex(
TypeError,
"Unique identifier must be a string.",
payloads.GetUsageAllocationResponsePayload,
**kwargs
)
payload = payloads.GetUsageAllocationResponsePayload()
args = (payload, 'unique_identifier', 0)
self.assertRaisesRegex(
TypeError,
"Unique identifier must be a string.",
setattr,
*args
)
def test_read(self):
"""
Test that a GetUsageAllocation response payload can be read from a
data stream.
"""
payload = payloads.GetUsageAllocationResponsePayload()
self.assertEqual(None, payload.unique_identifier)
payload.read(self.full_encoding)
self.assertEqual(
'2c23217e-f53c-4bdf-ad0a-58a31fd3d4b6',
payload.unique_identifier
)
def test_read_empty(self):
"""
Test that a GetUsageAllocation response payload can be read from an
empty data stream.
"""
payload = payloads.GetUsageAllocationResponsePayload()
self.assertEqual(None, payload.unique_identifier)
payload.read(self.empty_encoding)
self.assertEqual(None, payload.unique_identifier)
def test_write(self):
"""
Test that a GetUsageAllocation response payload can be written to a
data stream.
"""
payload = payloads.GetUsageAllocationResponsePayload(
unique_identifier='2c23217e-f53c-4bdf-ad0a-58a31fd3d4b6'
)
stream = utils.BytearrayStream()
payload.write(stream)
self.assertEqual(len(self.full_encoding), len(stream))
self.assertEqual(str(self.full_encoding), str(stream))
def test_write_empty(self):
"""
Test that an empty GetUsageAllocation response payload can be written
to a data stream.
"""
payload = payloads.GetUsageAllocationResponsePayload()
stream = utils.BytearrayStream()
payload.write(stream)
self.assertEqual(len(self.empty_encoding), len(stream))
self.assertEqual(str(self.empty_encoding), str(stream))
def test_equal_on_equal(self):
"""
Test that the equality operator returns True when comparing two
GetUsageAllocation response payloads with the same data.
"""
a = payloads.GetUsageAllocationResponsePayload()
b = payloads.GetUsageAllocationResponsePayload()
self.assertTrue(a == b)
self.assertTrue(b == a)
a = payloads.GetUsageAllocationResponsePayload(
unique_identifier='49a1ca88-6bea-4fb2-b450-7e58802c3038'
)
b = payloads.GetUsageAllocationResponsePayload(
unique_identifier='49a1ca88-6bea-4fb2-b450-7e58802c3038'
)
self.assertTrue(a == b)
self.assertTrue(b == a)
def test_equal_on_not_equal_unique_identifier(self):
"""
Test that the equality operator returns False when comparing two
GetUsageAllocation response payloads with different unique identifiers.
"""
a = payloads.GetUsageAllocationResponsePayload(
unique_identifier='a'
)
b = payloads.GetUsageAllocationResponsePayload(
unique_identifier='b'
)
self.assertFalse(a == b)
self.assertFalse(b == a)
def test_equal_on_type_mismatch(self):
"""
Test that the equality operator returns False when comparing two
GetUsageAllocation response payloads with different types.
"""
a = payloads.GetUsageAllocationResponsePayload()
b = 'invalid'
self.assertFalse(a == b)
self.assertFalse(b == a)
def test_not_equal_on_equal(self):
"""
Test that the inequality operator returns False when comparing two
GetUsageAllocation response payloads with the same data.
"""
a = payloads.GetUsageAllocationResponsePayload()
b = payloads.GetUsageAllocationResponsePayload()
self.assertFalse(a != b)
self.assertFalse(b != a)
a = payloads.GetUsageAllocationResponsePayload(
unique_identifier='49a1ca88-6bea-4fb2-b450-7e58802c3038'
)
b = payloads.GetUsageAllocationResponsePayload(
unique_identifier='49a1ca88-6bea-4fb2-b450-7e58802c3038'
)
self.assertFalse(a != b)
self.assertFalse(b != a)
def test_not_equal_on_not_equal_unique_identifier(self):
"""
Test that the inequality operator returns True when comparing two
GetUsageAllocation response payloads with different unique identifiers.
"""
a = payloads.GetUsageAllocationResponsePayload(
unique_identifier='a'
)
b = payloads.GetUsageAllocationResponsePayload(
unique_identifier='b'
)
self.assertTrue(a != b)
self.assertTrue(b != a)
def test_not_equal_on_type_mismatch(self):
"""
Test that the inequality operator returns True when comparing two
GetUsageAllocation response payloads with different types.
"""
a = payloads.GetUsageAllocationResponsePayload()
b = 'invalid'
self.assertTrue(a != b)
self.assertTrue(b != a)
def test_repr(self):
"""
Test that repr can be applied to a GetUsageAllocation response payload.
"""
payload = payloads.GetUsageAllocationResponsePayload(
unique_identifier='49a1ca88-6bea-4fb2-b450-7e58802c3038'
)
expected = (
"GetUsageAllocationResponsePayload("
"unique_identifier='49a1ca88-6bea-4fb2-b450-7e58802c3038')"
)
observed = repr(payload)
self.assertEqual(expected, observed)
def test_str(self):
"""
Test that str can be applied to a GetUsageAllocation response payload
"""
payload = payloads.GetUsageAllocationResponsePayload(
unique_identifier='49a1ca88-6bea-4fb2-b450-7e58802c3038'
)
expected = str({
'unique_identifier': '49a1ca88-6bea-4fb2-b450-7e58802c3038'
})
observed = str(payload)
self.assertEqual(expected, observed)
| 33.404724 | 79 | 0.638884 | 2,155 | 21,212 | 6.183295 | 0.100696 | 0.072045 | 0.03152 | 0.033621 | 0.924278 | 0.910919 | 0.90439 | 0.876998 | 0.84818 | 0.822814 | 0 | 0.06297 | 0.278286 | 21,212 | 634 | 80 | 33.457413 | 0.807434 | 0.231803 | 0 | 0.759104 | 0 | 0.016807 | 0.137777 | 0.109918 | 0 | 0 | 0 | 0 | 0.218487 | 1 | 0.109244 | false | 0 | 0.008403 | 0 | 0.123249 | 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 |
2240237140042f8a4ea8f708a58df2c40435d3fe | 1,712 | py | Python | tests/test_timer.py | benoitc/pyuv | 51a2f8687e3b6cd54af5ce81aabfc00b7fe40a18 | [
"MIT"
] | 1 | 2020-01-21T11:10:38.000Z | 2020-01-21T11:10:38.000Z | tests/test_timer.py | benoitc/pyuv | 51a2f8687e3b6cd54af5ce81aabfc00b7fe40a18 | [
"MIT"
] | null | null | null | tests/test_timer.py | benoitc/pyuv | 51a2f8687e3b6cd54af5ce81aabfc00b7fe40a18 | [
"MIT"
] | null | null | null |
from common import unittest2
import pyuv
class TimerTest(unittest2.TestCase):
def test_timer1(self):
self.timer_cb_called = 0
def timer_cb(timer):
self.timer_cb_called += 1
timer.stop()
timer.close()
loop = pyuv.Loop.default_loop()
timer = pyuv.Timer(loop)
timer.start(timer_cb, 0.1, 0)
loop.run()
self.assertEqual(self.timer_cb_called, 1)
def test_timer_never(self):
self.timer_cb_called = 0
def timer_cb(timer):
self.timer_cb_called += 1
timer.stop()
timer.close()
loop = pyuv.Loop.default_loop()
timer = pyuv.Timer(loop)
timer.start(timer_cb, 0.1, 0)
timer.close()
loop.run()
self.assertEqual(self.timer_cb_called, 0)
def test_timer_ref1(self):
self.timer_cb_called = 0
def timer_cb(timer):
self.timer_cb_called += 1
timer.stop()
timer.close()
loop = pyuv.Loop.default_loop()
self.timer = pyuv.Timer(loop)
loop.run()
self.assertEqual(self.timer_cb_called, 0)
def test_timer_ref2(self):
self.timer_cb_called = 0
def timer_cb(timer):
self.timer_cb_called += 1
timer.stop()
timer.close()
loop = pyuv.Loop.default_loop()
self.timer = pyuv.Timer(loop)
self.timer.start(timer_cb, 0.1, 0)
self.timer.unref()
loop.run()
self.assertEqual(self.timer_cb_called, 0)
self.timer.ref()
loop.run()
self.assertEqual(self.timer_cb_called, 1)
if __name__ == '__main__':
unittest2.main(verbosity=2)
| 26.75 | 49 | 0.573014 | 221 | 1,712 | 4.20362 | 0.153846 | 0.1507 | 0.153929 | 0.23789 | 0.809473 | 0.809473 | 0.809473 | 0.787944 | 0.787944 | 0.658773 | 0 | 0.024786 | 0.316589 | 1,712 | 63 | 50 | 27.174603 | 0.769231 | 0 | 0 | 0.773585 | 0 | 0 | 0.004678 | 0 | 0 | 0 | 0 | 0 | 0.09434 | 1 | 0.150943 | false | 0 | 0.037736 | 0 | 0.207547 | 0 | 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 |
224d4e1d5bb5c8e913207e66c71d3299c7402062 | 86 | py | Python | configuration/jupyter_notebook_config.py | amakhno/skynet-jupyter | c1b851ed469c4a4e07da8d029812f66c919a58f6 | [
"MIT"
] | null | null | null | configuration/jupyter_notebook_config.py | amakhno/skynet-jupyter | c1b851ed469c4a4e07da8d029812f66c919a58f6 | [
"MIT"
] | null | null | null | configuration/jupyter_notebook_config.py | amakhno/skynet-jupyter | c1b851ed469c4a4e07da8d029812f66c919a58f6 | [
"MIT"
] | null | null | null | c.NotebookApp.password = 'sha1:6bdfe47a95d8:4879d03389ed2d4d3fda8e173d85bc9a08aa0a2a'
| 43 | 85 | 0.883721 | 6 | 86 | 12.666667 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.361446 | 0.034884 | 86 | 1 | 86 | 86 | 0.554217 | 0 | 0 | 0 | 0 | 0 | 0.674419 | 0.674419 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 |
97e3563795043bb3732d2ad9b28363322cb33b1d | 5,252 | py | Python | tests/test_wrappers_consoleprinter.py | mgates/yamlpath | 319585620abfab199f3e15c87e0a2dc2c900aa1d | [
"ISC"
] | null | null | null | tests/test_wrappers_consoleprinter.py | mgates/yamlpath | 319585620abfab199f3e15c87e0a2dc2c900aa1d | [
"ISC"
] | null | null | null | tests/test_wrappers_consoleprinter.py | mgates/yamlpath | 319585620abfab199f3e15c87e0a2dc2c900aa1d | [
"ISC"
] | null | null | null | import pytest
from types import SimpleNamespace
from ruamel.yaml.scalarstring import PlainScalarString
from yamlpath.wrappers import ConsolePrinter
class Test_wrappers_ConsolePrinter():
def test_info_noisy(self, capsys):
args = SimpleNamespace(verbose=False, quiet=False, debug=False)
logger = ConsolePrinter(args)
logger.info("Test")
console = capsys.readouterr()
assert console.out == "Test\n"
def test_info_quiet(self, capsys):
args = SimpleNamespace(verbose=False, quiet=True, debug=False)
logger = ConsolePrinter(args)
logger.info("Test")
console = capsys.readouterr()
assert not console.out
def test_verbose_off(self, capsys):
args = SimpleNamespace(verbose=False, quiet=False, debug=False)
logger = ConsolePrinter(args)
logger.verbose("Test")
console = capsys.readouterr()
assert not console.out
def test_verbose_noisy(self, capsys):
args = SimpleNamespace(verbose=True, quiet=False, debug=False)
logger = ConsolePrinter(args)
logger.verbose("Test")
console = capsys.readouterr()
assert console.out == "Test\n"
def test_verbose_quiet(self, capsys):
args = SimpleNamespace(verbose=True, quiet=True, debug=False)
logger = ConsolePrinter(args)
logger.verbose("Test")
console = capsys.readouterr()
assert not console.out
def test_debug_off(self, capsys):
args = SimpleNamespace(verbose=False, quiet=False, debug=False)
logger = ConsolePrinter(args)
logger.debug("Test")
console = capsys.readouterr()
assert not console.out
def test_debug_noisy(self, capsys):
args = SimpleNamespace(verbose=False, quiet=False, debug=True)
logger = ConsolePrinter(args)
anchoredkey = PlainScalarString("TestKey", anchor="KeyAnchor")
anchoredval = PlainScalarString("TestVal", anchor="Anchor")
logger.debug(anchoredval)
console = capsys.readouterr()
assert "\n".join([
"DEBUG: TestVal; &Anchor",
]) + "\n" == console.out
logger.debug(["test", anchoredval])
console = capsys.readouterr()
assert "\n".join([
"DEBUG: [0]=test",
"DEBUG: [1]=TestVal; &Anchor",
]) + "\n" == console.out
logger.debug({"ichi": 1, anchoredkey: anchoredval})
console = capsys.readouterr()
assert "\n".join([
"DEBUG: [ichi]=>1",
"DEBUG: [TestKey; &KeyAnchor]=>TestVal; &Anchor",
]) + "\n" == console.out
def test_debug_quiet(self, capsys):
args = SimpleNamespace(verbose=False, quiet=True, debug=True)
logger = ConsolePrinter(args)
logger.debug("Test")
console = capsys.readouterr()
assert not console.out
def test_warning_noisy(self, capsys):
args = SimpleNamespace(verbose=False, quiet=False, debug=False)
logger = ConsolePrinter(args)
logger.warning("Test")
console = capsys.readouterr()
assert console.out == "WARNING: Test\n"
def test_warning_quiet(self, capsys):
args = SimpleNamespace(verbose=False, quiet=True, debug=False)
logger = ConsolePrinter(args)
logger.warning("Test")
console = capsys.readouterr()
assert not console.out
def test_error_noisy_nonexit(self, capsys):
args = SimpleNamespace(verbose=False, quiet=False, debug=False)
logger = ConsolePrinter(args)
logger.error("Test")
console = capsys.readouterr()
assert console.err == "ERROR: Test\n"
def test_error_quiet_nonexit(self, capsys):
args = SimpleNamespace(verbose=False, quiet=True, debug=False)
logger = ConsolePrinter(args)
logger.error("Test")
console = capsys.readouterr()
assert console.err == "ERROR: Test\n"
def test_error_noisy_exit(self, capsys):
args = SimpleNamespace(verbose=False, quiet=False, debug=False)
logger = ConsolePrinter(args)
with pytest.raises(SystemExit):
logger.error("Test", 27)
console = capsys.readouterr()
assert console.err == "ERROR: Test\n"
def test_error_quiet_exit(self, capsys):
args = SimpleNamespace(verbose=False, quiet=True, debug=False)
logger = ConsolePrinter(args)
with pytest.raises(SystemExit):
logger.error("Test", 27)
console = capsys.readouterr()
assert console.err == "ERROR: Test\n"
def test_critical_noisy(self, capsys):
args = SimpleNamespace(verbose=False, quiet=False, debug=False)
logger = ConsolePrinter(args)
with pytest.raises(SystemExit):
logger.critical("Test")
console = capsys.readouterr()
assert console.err == "CRITICAL: Test\n"
def test_critical_quiet(self, capsys):
args = SimpleNamespace(verbose=False, quiet=True, debug=False)
logger = ConsolePrinter(args)
with pytest.raises(SystemExit):
logger.critical("Test")
console = capsys.readouterr()
assert console.err == "CRITICAL: Test\n"
| 36.472222 | 71 | 0.628332 | 549 | 5,252 | 5.941712 | 0.096539 | 0.071735 | 0.126916 | 0.160025 | 0.878296 | 0.850399 | 0.847333 | 0.798283 | 0.742796 | 0.742796 | 0 | 0.002049 | 0.256664 | 5,252 | 143 | 72 | 36.727273 | 0.833504 | 0 | 0 | 0.702479 | 0 | 0 | 0.068355 | 0.003998 | 0 | 0 | 0 | 0 | 0.14876 | 1 | 0.132231 | false | 0 | 0.033058 | 0 | 0.173554 | 0 | 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 |
3f7437478e520c9c14a6bf6bc761b8f7b6ccb20a | 50,769 | py | Python | tests/test_index.py | DerThorsten/conda-build | 729c0cea03677dae0e2e15b7ec6d98619b5d4401 | [
"BSD-3-Clause"
] | null | null | null | tests/test_index.py | DerThorsten/conda-build | 729c0cea03677dae0e2e15b7ec6d98619b5d4401 | [
"BSD-3-Clause"
] | null | null | null | tests/test_index.py | DerThorsten/conda-build | 729c0cea03677dae0e2e15b7ec6d98619b5d4401 | [
"BSD-3-Clause"
] | null | null | null | import json
from logging import getLogger
import os
from os.path import dirname, isdir, join, isfile
import requests
import shutil
import tarfile
import pytest
from unittest import mock
import conda_package_handling.api
from conda_build import api
from conda_build.conda_interface import context
import conda_build.index
from conda_build.utils import copy_into, rm_rf
from conda_build.conda_interface import subdir
from conda_build.conda_interface import conda_47
from .utils import metadata_dir, archive_dir
log = getLogger(__name__)
# NOTE: The recipes for test packages used in this module are at https://github.com/kalefranz/conda-test-packages
def download(url, local_path):
# NOTE: The tests in this module download packages from the conda-test channel.
# These packages are small, and could easily be included in the conda-build git
# repository once their use stabilizes.
if not isdir(dirname(local_path)):
os.makedirs(dirname(local_path))
r = requests.get(url, stream=True)
with open(local_path, 'wb') as f:
shutil.copyfileobj(r.raw, f)
return local_path
def test_index_on_single_subdir_1(testing_workdir):
test_package_path = join(testing_workdir, 'osx-64', 'conda-index-pkg-a-1.0-py27h5e241af_0.tar.bz2')
test_package_url = 'https://conda.anaconda.org/conda-test/osx-64/conda-index-pkg-a-1.0-py27h5e241af_0.tar.bz2'
download(test_package_url, test_package_path)
conda_build.index.update_index(testing_workdir, channel_name='test-channel')
# #######################################
# tests for osx-64 subdir
# #######################################
assert isfile(join(testing_workdir, 'osx-64', 'index.html'))
assert isfile(join(testing_workdir, 'osx-64', 'repodata.json.bz2'))
assert isfile(join(testing_workdir, 'osx-64', 'repodata_from_packages.json.bz2'))
with open(join(testing_workdir, 'osx-64', 'repodata.json')) as fh:
actual_repodata_json = json.loads(fh.read())
with open(join(testing_workdir, 'osx-64', 'repodata_from_packages.json')) as fh:
actual_pkg_repodata_json = json.loads(fh.read())
expected_repodata_json = {
"info": {
'subdir': 'osx-64',
},
"packages": {
"conda-index-pkg-a-1.0-py27h5e241af_0.tar.bz2": {
"build": "py27h5e241af_0",
"build_number": 0,
"depends": [
"python >=2.7,<2.8.0a0"
],
"license": "BSD",
"md5": "37861df8111170f5eed4bff27868df59",
"name": "conda-index-pkg-a",
"sha256": "459f3e9b2178fa33bdc4e6267326405329d1c1ab982273d9a1c0a5084a1ddc30",
"size": 8733,
"subdir": "osx-64",
"timestamp": 1508520039632,
"version": "1.0",
},
},
"packages.conda": {},
"removed": [],
"repodata_version": 1,
}
assert actual_repodata_json == expected_repodata_json
assert actual_pkg_repodata_json == expected_repodata_json
# #######################################
# tests for full channel
# #######################################
with open(join(testing_workdir, 'channeldata.json')) as fh:
actual_channeldata_json = json.loads(fh.read())
expected_channeldata_json = {
"channeldata_version": 1,
"packages": {
"conda-index-pkg-a": {
"description": "Description field for conda-index-pkg-a. Actually, this is just the python description. "
"Python is a widely used high-level, general-purpose, interpreted, dynamic "
"programming language. Its design philosophy emphasizes code "
"readability, and its syntax allows programmers to express concepts in "
"fewer lines of code than would be possible in languages such as C++ or "
"Java. The language provides constructs intended to enable clear programs "
"on both a small and large scale.",
"dev_url": "https://github.com/kalefranz/conda-test-packages/blob/master/conda-index-pkg-a/meta.yaml",
"doc_source_url": "https://github.com/kalefranz/conda-test-packages/blob/master/conda-index-pkg-a/README.md",
"doc_url": "https://github.com/kalefranz/conda-test-packages/blob/master/conda-index-pkg-a",
"home": "https://anaconda.org/conda-test/conda-index-pkg-a",
"license": "BSD",
"source_git_url": "https://github.com/kalefranz/conda-test-packages.git",
"subdirs": [
"osx-64",
],
"summary": "Summary field for conda-index-pkg-a",
"version": "1.0",
"activate.d": False,
"deactivate.d": False,
"post_link": True,
"pre_link": False,
"pre_unlink": False,
"binary_prefix": False,
"text_prefix": True,
"run_exports": {},
'icon_hash': None,
'icon_url': None,
'identifiers': None,
'keywords': None,
'recipe_origin': None,
'source_url': None,
'tags': None,
'timestamp': 1508520039,
}
},
"subdirs": [
"noarch",
"osx-64"
]
}
assert actual_channeldata_json == expected_channeldata_json
def test_file_index_on_single_subdir_1(testing_workdir):
test_package_path = join(testing_workdir, 'osx-64', 'conda-index-pkg-a-1.0-py27h5e241af_0.tar.bz2')
test_package_url = 'https://conda.anaconda.org/conda-test/osx-64/conda-index-pkg-a-1.0-py27h5e241af_0.tar.bz2'
download(test_package_url, test_package_path)
conda_build.index.update_index(testing_workdir, channel_name='test-channel')
# #######################################
# tests for osx-64 subdir
# #######################################
assert isfile(join(testing_workdir, 'osx-64', 'index.html'))
assert isfile(join(testing_workdir, 'osx-64', 'repodata.json.bz2'))
assert isfile(join(testing_workdir, 'osx-64', 'repodata_from_packages.json.bz2'))
with open(join(testing_workdir, 'osx-64', 'repodata.json')) as fh:
actual_repodata_json = json.loads(fh.read())
assert actual_repodata_json
with open(join(testing_workdir, 'osx-64', 'repodata_from_packages.json')) as fh:
actual_pkg_repodata_json = json.loads(fh.read())
expected_repodata_json = {
"info": {
'subdir': 'osx-64',
},
"packages": {
"conda-index-pkg-a-1.0-py27h5e241af_0.tar.bz2": {
"build": "py27h5e241af_0",
"build_number": 0,
"depends": [
"python >=2.7,<2.8.0a0"
],
"license": "BSD",
"md5": "37861df8111170f5eed4bff27868df59",
"name": "conda-index-pkg-a",
"sha256": "459f3e9b2178fa33bdc4e6267326405329d1c1ab982273d9a1c0a5084a1ddc30",
"size": 8733,
"subdir": "osx-64",
"timestamp": 1508520039632,
"version": "1.0",
},
},
"packages.conda": {},
"removed": [],
"repodata_version": 1,
}
assert actual_repodata_json == expected_repodata_json
assert actual_pkg_repodata_json == expected_repodata_json
# download two packages here, put them both in the same subdir
test_package_path = join(testing_workdir, 'osx-64', 'fly-2.5.2-0.tar.bz2')
test_package_url = 'https://conda.anaconda.org/conda-test/osx-64/fly-2.5.2-0.tar.bz2'
download(test_package_url, test_package_path)
test_package_path = join(testing_workdir, 'osx-64', 'nano-2.4.1-0-tar.bz2')
test_package_url = 'https://conda.anaconda.org/conda-test/osx-64/nano-2.4.1-0.tar.bz2'
download(test_package_url, test_package_path)
# only tell index to index one of them and then assert that it was added
p = os.path.join(testing_workdir, 'index_file')
with open(os.path.join(testing_workdir, 'index_file'), 'a+') as fh:
fh.write("osx-64/fly-2.5.2-0.tar.bz2\n")
conda_build.index.update_index(testing_workdir, channel_name='test-channel', index_file=p)
updated_packages = expected_repodata_json.get('packages')
updated_packages['fly-2.5.2-0.tar.bz2'] = {
"build": "0",
"build_number": 0,
"depends": [],
"license": "Apache",
"md5": "2e84ee54415a5021db050bd5fa5438b2",
"name": "fly",
"sha256": "79dec46aaa827ffde1bc069f740697b0d126f485ed9cb4c3db201f720601d346",
"size": 5382961,
"subdir": "osx-64",
"version": "2.5.2"
}
expected_repodata_json['packages'] = updated_packages
with open(join(testing_workdir, 'osx-64', 'repodata.json')) as fh:
actual_repodata_json = json.loads(fh.read())
assert actual_repodata_json
with open(join(testing_workdir, 'osx-64', 'repodata_from_packages.json')) as fh:
actual_pkg_repodata_json = json.loads(fh.read())
assert actual_pkg_repodata_json
assert actual_repodata_json == expected_repodata_json
assert actual_pkg_repodata_json == expected_repodata_json
# #######################################
# tests for full channel
# #######################################
with open(join(testing_workdir, 'channeldata.json')) as fh:
actual_channeldata_json = json.loads(fh.read())
expected_channeldata_json = {
"channeldata_version": 1,
"packages": {
"conda-index-pkg-a": {
"description": "Description field for conda-index-pkg-a. Actually, this is just the python description. "
"Python is a widely used high-level, general-purpose, interpreted, dynamic "
"programming language. Its design philosophy emphasizes code "
"readability, and its syntax allows programmers to express concepts in "
"fewer lines of code than would be possible in languages such as C++ or "
"Java. The language provides constructs intended to enable clear programs "
"on both a small and large scale.",
"dev_url": "https://github.com/kalefranz/conda-test-packages/blob/master/conda-index-pkg-a/meta.yaml",
"doc_source_url": "https://github.com/kalefranz/conda-test-packages/blob/master/conda-index-pkg-a/README.md",
"doc_url": "https://github.com/kalefranz/conda-test-packages/blob/master/conda-index-pkg-a",
"home": "https://anaconda.org/conda-test/conda-index-pkg-a",
"license": "BSD",
"source_git_url": "https://github.com/kalefranz/conda-test-packages.git",
"subdirs": [
"osx-64",
],
"summary": "Summary field for conda-index-pkg-a",
"version": "1.0",
"activate.d": False,
"deactivate.d": False,
"post_link": True,
"pre_link": False,
"pre_unlink": False,
"binary_prefix": False,
"text_prefix": True,
"run_exports": {},
'icon_hash': None,
'icon_url': None,
'identifiers': None,
'keywords': None,
'recipe_origin': None,
'source_url': None,
'tags': None,
'timestamp': 1508520039,
},
"fly": {
'activate.d': False,
'binary_prefix': False,
'deactivate.d': False,
'description': 'A command line interface that runs a build in a container with ATC.',
'dev_url': None,
'doc_source_url': None,
'doc_url': None,
'home': 'https://github.com/concourse/fly',
'icon_hash': None,
'icon_url': None,
'identifiers': None,
'keywords': None,
'license': 'Apache',
'post_link': False,
'pre_link': False,
'pre_unlink': False,
'recipe_origin': None,
'run_exports': {},
'source_git_url': '/Users/scastellarin/projects/fly-package/https:/github.com/concourse/concourse.git',
'source_url': None,
'subdirs': [
'osx-64'
],
'summary': 'A command line interface that runs a build in a container with ATC.',
'tags': None,
'text_prefix': False,
'timestamp': 0,
'version': '2.5.2'
}
},
"subdirs": [
"noarch",
"osx-64"
]
}
assert actual_channeldata_json == expected_channeldata_json
def test_index_noarch_osx64_1(testing_workdir):
test_package_path = join(testing_workdir, 'osx-64', 'conda-index-pkg-a-1.0-py27h5e241af_0.tar.bz2')
test_package_url = 'https://conda.anaconda.org/conda-test/osx-64/conda-index-pkg-a-1.0-py27h5e241af_0.tar.bz2'
download(test_package_url, test_package_path)
test_package_path = join(testing_workdir, 'noarch', 'conda-index-pkg-a-1.0-pyhed9eced_1.tar.bz2')
test_package_url = 'https://conda.anaconda.org/conda-test/noarch/conda-index-pkg-a-1.0-pyhed9eced_1.tar.bz2'
download(test_package_url, test_package_path)
conda_build.index.update_index(testing_workdir, channel_name='test-channel')
# #######################################
# tests for osx-64 subdir
# #######################################
assert isfile(join(testing_workdir, 'osx-64', 'index.html'))
assert isfile(join(testing_workdir, 'osx-64', 'repodata.json')) # repodata is tested in test_index_on_single_subdir_1
assert isfile(join(testing_workdir, 'osx-64', 'repodata.json.bz2'))
assert isfile(join(testing_workdir, 'osx-64', 'repodata_from_packages.json'))
assert isfile(join(testing_workdir, 'osx-64', 'repodata_from_packages.json.bz2'))
# #######################################
# tests for noarch subdir
# #######################################
assert isfile(join(testing_workdir, 'noarch', 'index.html'))
assert isfile(join(testing_workdir, 'noarch', 'repodata.json.bz2'))
assert isfile(join(testing_workdir, 'noarch', 'repodata_from_packages.json.bz2'))
with open(join(testing_workdir, 'noarch', 'repodata.json')) as fh:
actual_repodata_json = json.loads(fh.read())
with open(join(testing_workdir, 'noarch', 'repodata_from_packages.json')) as fh:
actual_pkg_repodata_json = json.loads(fh.read())
expected_repodata_json = {
"info": {
'subdir': 'noarch',
},
"packages": {
"conda-index-pkg-a-1.0-pyhed9eced_1.tar.bz2": {
"build": "pyhed9eced_1",
"build_number": 1,
"depends": [
"python"
],
"license": "BSD",
"md5": "56b5f6b7fb5583bccfc4489e7c657484",
"name": "conda-index-pkg-a",
"noarch": "python",
"sha256": "7430743bffd4ac63aa063ae8518e668eac269c783374b589d8078bee5ed4cbc6",
"size": 7882,
"subdir": "noarch",
"timestamp": 1508520204768,
"version": "1.0",
},
},
"packages.conda": {},
"removed": [],
"repodata_version": 1,
}
assert actual_repodata_json == expected_repodata_json
assert actual_pkg_repodata_json == expected_repodata_json
# #######################################
# tests for full channel
# #######################################
with open(join(testing_workdir, 'channeldata.json')) as fh:
actual_channeldata_json = json.loads(fh.read())
expected_channeldata_json = {
"channeldata_version": 1,
"packages": {
"conda-index-pkg-a": {
"description": "Description field for conda-index-pkg-a. Actually, this is just the python description. "
"Python is a widely used high-level, general-purpose, interpreted, dynamic "
"programming language. Its design philosophy emphasizes code "
"readability, and its syntax allows programmers to express concepts in "
"fewer lines of code than would be possible in languages such as C++ or "
"Java. The language provides constructs intended to enable clear programs "
"on both a small and large scale.",
"dev_url": "https://github.com/kalefranz/conda-test-packages/blob/master/conda-index-pkg-a/meta.yaml",
"doc_source_url": "https://github.com/kalefranz/conda-test-packages/blob/master/conda-index-pkg-a/README.md",
"doc_url": "https://github.com/kalefranz/conda-test-packages/blob/master/conda-index-pkg-a",
"home": "https://anaconda.org/conda-test/conda-index-pkg-a",
"license": "BSD",
"source_git_url": "https://github.com/kalefranz/conda-test-packages.git",
'source_url': None,
"subdirs": [
"noarch",
"osx-64",
],
"summary": "Summary field for conda-index-pkg-a. This is the python noarch version.", # <- tests that the higher noarch build number is the data collected
"version": "1.0",
"activate.d": False,
"deactivate.d": False,
"post_link": True,
"pre_link": False,
"pre_unlink": False,
"binary_prefix": False,
"text_prefix": True,
"run_exports": {},
'icon_hash': None,
'icon_url': None,
'identifiers': None,
'tags': None,
'timestamp': 1508520039,
'keywords': None,
'recipe_origin': None,
}
},
"subdirs": [
"noarch",
"osx-64",
]
}
assert actual_channeldata_json == expected_channeldata_json
def test_file_index_noarch_osx64_1(testing_workdir):
test_package_path = join(testing_workdir, 'osx-64', 'conda-index-pkg-a-1.0-py27h5e241af_0.tar.bz2')
test_package_url = 'https://conda.anaconda.org/conda-test/osx-64/conda-index-pkg-a-1.0-py27h5e241af_0.tar.bz2'
download(test_package_url, test_package_path)
test_package_path = join(testing_workdir, 'noarch', 'conda-index-pkg-a-1.0-pyhed9eced_1.tar.bz2')
test_package_url = 'https://conda.anaconda.org/conda-test/noarch/conda-index-pkg-a-1.0-pyhed9eced_1.tar.bz2'
download(test_package_url, test_package_path)
conda_build.index.update_index(testing_workdir, channel_name='test-channel')
# #######################################
# tests for osx-64 subdir
# #######################################
assert isfile(join(testing_workdir, 'osx-64', 'index.html'))
assert isfile(join(testing_workdir, 'osx-64', 'repodata.json')) # repodata is tested in test_index_on_single_subdir_1
assert isfile(join(testing_workdir, 'osx-64', 'repodata.json.bz2'))
assert isfile(join(testing_workdir, 'osx-64', 'repodata_from_packages.json'))
assert isfile(join(testing_workdir, 'osx-64', 'repodata_from_packages.json.bz2'))
# #######################################
# tests for noarch subdir
# #######################################
assert isfile(join(testing_workdir, 'noarch', 'index.html'))
assert isfile(join(testing_workdir, 'noarch', 'repodata.json.bz2'))
assert isfile(join(testing_workdir, 'noarch', 'repodata_from_packages.json.bz2'))
with open(join(testing_workdir, 'noarch', 'repodata.json')) as fh:
actual_repodata_json = json.loads(fh.read())
with open(join(testing_workdir, 'noarch', 'repodata_from_packages.json')) as fh:
actual_pkg_repodata_json = json.loads(fh.read())
expected_repodata_json = {
"info": {
'subdir': 'noarch',
},
"packages": {
"conda-index-pkg-a-1.0-pyhed9eced_1.tar.bz2": {
"build": "pyhed9eced_1",
"build_number": 1,
"depends": [
"python"
],
"license": "BSD",
"md5": "56b5f6b7fb5583bccfc4489e7c657484",
"name": "conda-index-pkg-a",
"noarch": "python",
"sha256": "7430743bffd4ac63aa063ae8518e668eac269c783374b589d8078bee5ed4cbc6",
"size": 7882,
"subdir": "noarch",
"timestamp": 1508520204768,
"version": "1.0",
},
},
"packages.conda": {},
"removed": [],
"repodata_version": 1,
}
assert actual_repodata_json == expected_repodata_json
assert actual_pkg_repodata_json == expected_repodata_json
# download two packages per subdir here, put them both in the same subdir
test_package_path = join(testing_workdir, 'osx-64', 'fly-2.5.2-0.tar.bz2')
test_package_url = 'https://conda.anaconda.org/conda-test/osx-64/fly-2.5.2-0.tar.bz2'
download(test_package_url, test_package_path)
test_package_path = join(testing_workdir, 'osx-64', 'nano-2.4.1-0-tar.bz2')
test_package_url = 'https://conda.anaconda.org/conda-test/osx-64/nano-2.4.1-0.tar.bz2'
download(test_package_url, test_package_path)
test_package_path = join(testing_workdir, 'noarch', 'spiffy-test-app-0.5-pyh6afbcc8_0.tar.bz2')
test_package_url = 'https://conda.anaconda.org/conda-test/noarch/spiffy-test-app-0.5-pyh6afbcc8_0.tar.bz2'
download(test_package_url, test_package_path)
test_package_path = join(testing_workdir, 'noarch', 'flask-0.11.1-py_0.tar.bz2')
test_package_url = 'https://conda.anaconda.org/conda-test/noarch/flask-0.11.1-py_0.tar.bz2'
download(test_package_url, test_package_path)
# only tell index to index one of them and then assert that it was added
p = os.path.join(testing_workdir, 'index_file')
with open(os.path.join(testing_workdir, 'index_file'), 'a+') as fh:
fh.write("noarch/flask-0.11.1-py_0.tar.bz2\n")
fh.write("osx/fly-2.5.2-0.tar.bz2\n")
conda_build.index.update_index(testing_workdir, channel_name='test-channel', index_file=p)
updated_packages = expected_repodata_json.get('packages')
updated_packages['flask-0.11.1-py_0.tar.bz2'] = {
'build': 'py_0',
'build_number': 0,
'depends': [
'click >=2.0',
'itsdangerous >=0.21',
'jinja2 >=2.4',
'python',
'werkzeug >=0.7'
],
'license': 'BSD',
'md5': '6b06127706cf0ba57c6e13258bb222e7',
'name': 'flask',
'noarch': 'python',
'sha256': '8353f3a4a4533ff0c6ce829b90980a01a577b3ac015ebd573fef308f2bfec5a8',
'size': 58062,
'subdir': 'noarch',
'version': '0.11.1'
}
expected_repodata_json['packages'] = updated_packages
with open(join(testing_workdir, 'noarch', 'repodata.json')) as fh:
actual_repodata_json = json.loads(fh.read())
assert actual_repodata_json
with open(join(testing_workdir, 'noarch', 'repodata_from_packages.json')) as fh:
actual_pkg_repodata_json = json.loads(fh.read())
assert actual_pkg_repodata_json
assert actual_repodata_json == expected_repodata_json
assert actual_pkg_repodata_json == expected_repodata_json
# #######################################
# tests for full channel
# #######################################
with open(join(testing_workdir, 'channeldata.json')) as fh:
actual_channeldata_json = json.loads(fh.read())
expected_channeldata_json = {
"channeldata_version": 1,
"packages": {
"conda-index-pkg-a": {
"description": "Description field for conda-index-pkg-a. Actually, this is just the python description. "
"Python is a widely used high-level, general-purpose, interpreted, dynamic "
"programming language. Its design philosophy emphasizes code "
"readability, and its syntax allows programmers to express concepts in "
"fewer lines of code than would be possible in languages such as C++ or "
"Java. The language provides constructs intended to enable clear programs "
"on both a small and large scale.",
"dev_url": "https://github.com/kalefranz/conda-test-packages/blob/master/conda-index-pkg-a/meta.yaml",
"doc_source_url": "https://github.com/kalefranz/conda-test-packages/blob/master/conda-index-pkg-a/README.md",
"doc_url": "https://github.com/kalefranz/conda-test-packages/blob/master/conda-index-pkg-a",
"home": "https://anaconda.org/conda-test/conda-index-pkg-a",
"license": "BSD",
"source_git_url": "https://github.com/kalefranz/conda-test-packages.git",
'source_url': None,
"subdirs": [
"noarch",
"osx-64",
],
"summary": "Summary field for conda-index-pkg-a. This is the python noarch version.", # <- tests that the higher noarch build number is the data collected
"version": "1.0",
"activate.d": False,
"deactivate.d": False,
"post_link": True,
"pre_link": False,
"pre_unlink": False,
"binary_prefix": False,
"text_prefix": True,
"run_exports": {},
'icon_hash': None,
'icon_url': None,
'identifiers': None,
'tags': None,
'timestamp': 1508520204,
'keywords': None,
'recipe_origin': None,
},
'flask': {
'activate.d': False,
'binary_prefix': False,
'deactivate.d': False,
'description': "Flask is a microframework for Python based on Werkzeug and Jinja2. "
"It's intended for getting started very quickly and was developed with best intentions in mind.",
'dev_url': 'https://github.com/mitsuhiko/flask',
'doc_source_url': None,
'doc_url': 'http://flask.pocoo.org/docs/0.10/',
'home': 'http://flask.pocoo.org/',
'icon_hash': None,
'icon_url': None,
'identifiers': None,
'keywords': None,
'license': 'BSD',
'post_link': False,
'pre_link': False,
'pre_unlink': False,
'recipe_origin': None,
'run_exports': {},
'source_git_url': None,
'source_url': None,
'subdirs': [
'noarch'
],
'summary': 'A microframework based on Werkzeug, Jinja2 and good intentions',
'tags': None,
'text_prefix': False,
'timestamp': 0,
'version': '0.11.1'
}
},
"subdirs": [
"noarch",
"osx-64",
]
}
assert actual_channeldata_json == expected_channeldata_json
def _build_test_index(workdir):
pkgs = api.build(os.path.join(metadata_dir, "_index_hotfix_pkgs"), croot=workdir)
for pkg in pkgs:
conda_package_handling.api.transmute(pkg, '.conda')
api.update_index(workdir)
with open(os.path.join(workdir, subdir, 'repodata.json')) as f:
original_metadata = json.load(f)
pkg_list = original_metadata['packages']
assert "track_features_test-1.0-0.tar.bz2" in pkg_list
assert pkg_list["track_features_test-1.0-0.tar.bz2"]["track_features"] == "dummy"
assert "hotfix_depends_test-1.0-dummy_0.tar.bz2" in pkg_list
assert pkg_list["hotfix_depends_test-1.0-dummy_0.tar.bz2"]["features"] == "dummy"
assert "zlib" in pkg_list["hotfix_depends_test-1.0-dummy_0.tar.bz2"]["depends"]
assert "revoke_test-1.0-0.tar.bz2" in pkg_list
assert "zlib" in pkg_list["revoke_test-1.0-0.tar.bz2"]["depends"]
assert "package_has_been_revoked" not in pkg_list["revoke_test-1.0-0.tar.bz2"]["depends"]
assert "remove_test-1.0-0.tar.bz2" in pkg_list
def test_gen_patch_py(testing_workdir):
"""
This is a channel-wide file that applies to many subdirs. It must have a function with this signature:
def _patch_repodata(repodata, subdir):
That function must return a dictionary of patch instructions, of the form:
{
"patch_instructions_version": 1,
"packages": defaultdict(dict),
"revoke": [],
"remove": [],
}
revoke and remove are lists of filenames. remove makes the file not show up
in the index (it may still be downloadable with a direct URL to the file).
revoke makes packages uninstallable by adding an unsatisfiable dependency.
This can be made installable by including a channel that has that package
(to be created by @jjhelmus).
packages is a dictionary, where keys are package filenames. Values are
dictionaries similar to the contents of each package in repodata.json. Any
values in provided in packages here overwrite the values in repodata.json.
Any value set to None is removed.
"""
_build_test_index(testing_workdir)
func = """
def _patch_repodata(repodata, subdir):
pkgs = repodata["packages"]
import fnmatch
replacement_dict = {}
if "track_features_test-1.0-0.tar.bz2" in pkgs:
replacement_dict["track_features_test-1.0-0.tar.bz2"] = {"track_features": None}
if "hotfix_depends_test-1.0-dummy_0.tar.bz2" in pkgs:
replacement_dict["hotfix_depends_test-1.0-dummy_0.tar.bz2"] = {
"depends": pkgs["hotfix_depends_test-1.0-dummy_0.tar.bz2"]["depends"] + ["dummy"],
"features": None}
revoke_list = [pkg for pkg in pkgs if fnmatch.fnmatch(pkg, "revoke_test*")]
remove_list = [pkg for pkg in pkgs if fnmatch.fnmatch(pkg, "remove_test*")]
return {
"patch_instructions_version": 1,
"packages": replacement_dict,
"revoke": revoke_list,
"remove": remove_list,
}
"""
patch_file = os.path.join(testing_workdir, 'repodata_patch.py')
with open(patch_file, 'w') as f:
f.write(func)
# indexing a second time with the same patchset should keep the removals
for i in (1, 2):
conda_build.index.update_index(testing_workdir, patch_generator=patch_file, verbose=True)
with open(os.path.join(testing_workdir, subdir, 'repodata.json')) as f:
patched_metadata = json.load(f)
pkg_list = patched_metadata['packages']
assert "track_features_test-1.0-0.tar.bz2" in pkg_list
assert "track_features" not in pkg_list["track_features_test-1.0-0.tar.bz2"]
print("pass %s track features ok" % i)
assert "hotfix_depends_test-1.0-dummy_0.tar.bz2" in pkg_list
assert "features" not in pkg_list["hotfix_depends_test-1.0-dummy_0.tar.bz2"]
assert "zlib" in pkg_list["hotfix_depends_test-1.0-dummy_0.tar.bz2"]["depends"]
assert "dummy" in pkg_list["hotfix_depends_test-1.0-dummy_0.tar.bz2"]["depends"]
print("pass %s hotfix ok" % i)
assert "revoke_test-1.0-0.tar.bz2" in pkg_list
assert "zlib" in pkg_list["revoke_test-1.0-0.tar.bz2"]["depends"]
assert "package_has_been_revoked" in pkg_list["revoke_test-1.0-0.tar.bz2"]["depends"]
print("pass %s revoke ok" % i)
assert "remove_test-1.0-0.tar.bz2" not in pkg_list
assert "remove_test-1.0-0.tar.bz2" in patched_metadata['removed'], "removed list not populated in run %d" % i
print("pass %s remove ok" % i)
with open(os.path.join(testing_workdir, subdir, 'repodata_from_packages.json')) as f:
pkg_metadata = json.load(f)
pkg_list = pkg_metadata['packages']
assert "track_features_test-1.0-0.tar.bz2" in pkg_list
assert pkg_list["track_features_test-1.0-0.tar.bz2"]["track_features"] == "dummy"
assert "hotfix_depends_test-1.0-dummy_0.tar.bz2" in pkg_list
assert pkg_list["hotfix_depends_test-1.0-dummy_0.tar.bz2"]["features"] == "dummy"
assert "zlib" in pkg_list["hotfix_depends_test-1.0-dummy_0.tar.bz2"]["depends"]
assert "revoke_test-1.0-0.tar.bz2" in pkg_list
assert "zlib" in pkg_list["revoke_test-1.0-0.tar.bz2"]["depends"]
assert "package_has_been_revoked" not in pkg_list["revoke_test-1.0-0.tar.bz2"]["depends"]
def test_channel_patch_instructions_json(testing_workdir):
_build_test_index(testing_workdir)
replacement_dict = {}
replacement_dict["track_features_test-1.0-0.tar.bz2"] = {"track_features": None}
replacement_dict["hotfix_depends_test-1.0-dummy_0.tar.bz2"] = {
"depends": ["zlib", "dummy"],
"features": None}
patch = {
"patch_instructions_version": 1,
"packages": replacement_dict,
"revoke": ["revoke_test-1.0-0.tar.bz2"],
"remove": ["remove_test-1.0-0.tar.bz2"],
}
with open(os.path.join(testing_workdir, subdir, 'patch_instructions.json'), 'w') as f:
json.dump(patch, f)
conda_build.index.update_index(testing_workdir)
with open(os.path.join(testing_workdir, subdir, 'repodata.json')) as f:
patched_metadata = json.load(f)
formats = (('packages', '.tar.bz2'), ('packages.conda', '.conda'))
for key, ext in formats:
pkg_list = patched_metadata[key]
assert "track_features_test-1.0-0" + ext in pkg_list
assert "track_features" not in pkg_list["track_features_test-1.0-0" + ext]
assert "hotfix_depends_test-1.0-dummy_0" + ext in pkg_list
assert "features" not in pkg_list["hotfix_depends_test-1.0-dummy_0" + ext]
assert "zlib" in pkg_list["hotfix_depends_test-1.0-dummy_0" + ext]["depends"]
assert "dummy" in pkg_list["hotfix_depends_test-1.0-dummy_0" + ext]["depends"]
assert "revoke_test-1.0-0" + ext in pkg_list
assert "zlib" in pkg_list["revoke_test-1.0-0" + ext]["depends"]
assert "package_has_been_revoked" in pkg_list["revoke_test-1.0-0" + ext]["depends"]
assert "remove_test-1.0-0" + ext not in pkg_list
with open(os.path.join(testing_workdir, subdir, 'repodata_from_packages.json')) as f:
pkg_repodata = json.load(f)
pkg_list = pkg_repodata[key]
assert "track_features_test-1.0-0" + ext in pkg_list
assert pkg_list["track_features_test-1.0-0" + ext]["track_features"] == "dummy"
assert "hotfix_depends_test-1.0-dummy_0" + ext in pkg_list
assert pkg_list["hotfix_depends_test-1.0-dummy_0" + ext]["features"] == "dummy"
assert "zlib" in pkg_list["hotfix_depends_test-1.0-dummy_0" + ext]["depends"]
assert "revoke_test-1.0-0" + ext in pkg_list
assert "zlib" in pkg_list["revoke_test-1.0-0" + ext]["depends"]
assert "package_has_been_revoked" not in pkg_list["revoke_test-1.0-0" + ext]["depends"]
assert "remove_test-1.0-0" + ext in pkg_list
def test_patch_from_tarball(testing_workdir):
"""This is how we expect external communities to provide patches to us.
We can't let them just give us Python files for us to run, because of the
security risk of arbitrary code execution."""
_build_test_index(testing_workdir)
# our hotfix metadata can be generated any way you want. Hard-code this here, but in general,
# people will use some python file to generate this.
replacement_dict = {}
replacement_dict["track_features_test-1.0-0.tar.bz2"] = {"track_features": None}
replacement_dict["hotfix_depends_test-1.0-dummy_0.tar.bz2"] = {
"depends": ["zlib", "dummy"],
"features": None}
patch = {
"patch_instructions_version": 1,
"packages": replacement_dict,
"revoke": ["revoke_test-1.0-0.tar.bz2"],
"remove": ["remove_test-1.0-0.tar.bz2"],
}
with open("patch_instructions.json", "w") as f:
json.dump(patch, f)
with tarfile.open("patch_archive.tar.bz2", "w:bz2") as archive:
archive.add("patch_instructions.json", "%s/patch_instructions.json" % subdir)
conda_build.index.update_index(testing_workdir, patch_generator="patch_archive.tar.bz2")
with open(os.path.join(testing_workdir, subdir, 'repodata.json')) as f:
patched_metadata = json.load(f)
pkg_list = patched_metadata['packages']
assert "track_features_test-1.0-0.tar.bz2" in pkg_list
assert "track_features" not in pkg_list["track_features_test-1.0-0.tar.bz2"]
assert "hotfix_depends_test-1.0-dummy_0.tar.bz2" in pkg_list
assert "features" not in pkg_list["hotfix_depends_test-1.0-dummy_0.tar.bz2"]
assert "zlib" in pkg_list["hotfix_depends_test-1.0-dummy_0.tar.bz2"]["depends"]
assert "dummy" in pkg_list["hotfix_depends_test-1.0-dummy_0.tar.bz2"]["depends"]
assert "revoke_test-1.0-0.tar.bz2" in pkg_list
assert "zlib" in pkg_list["revoke_test-1.0-0.tar.bz2"]["depends"]
assert "package_has_been_revoked" in pkg_list["revoke_test-1.0-0.tar.bz2"]["depends"]
assert "remove_test-1.0-0.tar.bz2" not in pkg_list
with open(os.path.join(testing_workdir, subdir, 'repodata_from_packages.json')) as f:
pkg_repodata = json.load(f)
pkg_list = pkg_repodata['packages']
assert "track_features_test-1.0-0.tar.bz2" in pkg_list
assert pkg_list["track_features_test-1.0-0.tar.bz2"]["track_features"] == "dummy"
assert "hotfix_depends_test-1.0-dummy_0.tar.bz2" in pkg_list
assert pkg_list["hotfix_depends_test-1.0-dummy_0.tar.bz2"]["features"] == "dummy"
assert "zlib" in pkg_list["hotfix_depends_test-1.0-dummy_0.tar.bz2"]["depends"]
assert "revoke_test-1.0-0.tar.bz2" in pkg_list
assert "zlib" in pkg_list["revoke_test-1.0-0.tar.bz2"]["depends"]
assert "package_has_been_revoked" not in pkg_list["revoke_test-1.0-0.tar.bz2"]["depends"]
assert "remove_test-1.0-0.tar.bz2" in pkg_list
def test_index_of_removed_pkg(testing_metadata):
out_files = api.build(testing_metadata)
for f in out_files:
os.remove(f)
api.update_index(testing_metadata.config.croot)
with open(os.path.join(testing_metadata.config.croot, subdir, 'repodata.json')) as f:
repodata = json.load(f)
assert not repodata['packages']
with open(os.path.join(testing_metadata.config.croot, subdir, 'repodata_from_packages.json')) as f:
repodata = json.load(f)
assert not repodata['packages']
def test_patch_instructions_with_missing_subdir(testing_workdir):
os.makedirs('linux-64')
os.makedirs('zos-z')
api.update_index('.')
# we use conda-forge's patch instructions because they don't have zos-z data, and that triggers an error
pkg = "conda-forge-repodata-patches"
url = "https://anaconda.org/conda-forge/{0}/20180828/download/noarch/{0}-20180828-0.tar.bz2".format(pkg)
patch_instructions = download(url, os.path.join(os.getcwd(), "patches.tar.bz2"))
api.update_index('.', patch_generator=patch_instructions)
def test_stat_cache_used(testing_workdir, mocker):
test_package_path = join(testing_workdir, 'osx-64', 'conda-index-pkg-a-1.0-py27h5e241af_0.tar.bz2')
test_package_url = 'https://conda.anaconda.org/conda-test/osx-64/conda-index-pkg-a-1.0-py27h5e241af_0.tar.bz2'
download(test_package_url, test_package_path)
conda_build.index.update_index(testing_workdir, channel_name='test-channel')
cph_extract = mocker.spy(conda_package_handling.api, 'extract')
conda_build.index.update_index(testing_workdir, channel_name='test-channel')
cph_extract.assert_not_called()
def test_new_pkg_format_preferred(testing_workdir, mocker):
"""Test that in one pass, the .conda file is extracted before the .tar.bz2, and the .tar.bz2 uses the cache"""
test_package_path = join(testing_workdir, 'osx-64', 'conda-index-pkg-a-1.0-py27h5e241af_0')
exts = ('.tar.bz2', '.conda')
for ext in exts:
copy_into(os.path.join(archive_dir, 'conda-index-pkg-a-1.0-py27h5e241af_0' + ext), test_package_path + ext)
# mock the extract function, so that we can assert that it is not called
# with the .tar.bz2, because the .conda should be preferred
cph_extract = mocker.spy(conda_package_handling.api, 'extract')
conda_build.index.update_index(testing_workdir, channel_name='test-channel', debug=True)
# extract should get called once by default. Within a channel, we assume that a .tar.bz2 and .conda have the same contents.
cph_extract.assert_called_once_with(test_package_path + '.conda', mock.ANY, 'info')
with open(join(testing_workdir, 'osx-64', 'repodata.json')) as fh:
actual_repodata_json = json.loads(fh.read())
expected_repodata_json = {
"info": {
'subdir': 'osx-64',
},
"packages": {
"conda-index-pkg-a-1.0-py27h5e241af_0.tar.bz2": {
"build": "py27h5e241af_0",
"build_number": 0,
"depends": [
"python >=2.7,<2.8.0a0"
],
"license": "BSD",
"md5": "37861df8111170f5eed4bff27868df59",
"name": "conda-index-pkg-a",
"sha256": "459f3e9b2178fa33bdc4e6267326405329d1c1ab982273d9a1c0a5084a1ddc30",
"size": 8733,
"subdir": "osx-64",
"timestamp": 1508520039632,
"version": "1.0",
},
},
"packages.conda": {
"conda-index-pkg-a-1.0-py27h5e241af_0.conda": {
"build": "py27h5e241af_0",
"build_number": 0,
"depends": [
"python >=2.7,<2.8.0a0"
],
"license": "BSD",
"md5": "4ed4b435f400dac1aabdc1fff06f78ff",
"name": "conda-index-pkg-a",
"sha256": "67b07b644105439515cc5c8c22c86939514cacf30c8c574cd70f5f1267a40f19",
"size": 9296,
"subdir": "osx-64",
"timestamp": 1508520039632,
"version": "1.0",
},
},
"removed": [],
"repodata_version": 1,
}
assert actual_repodata_json == expected_repodata_json
# if we clear the stat cache, we force a re-examination. This re-examination will load files
# from the cache. This has been a source of bugs in the past, where the wrong cached file
# being loaded resulted in incorrect hashes/sizes for either the .tar.bz2 or .conda, depending
# on which of those 2 existed in the cache.
rm_rf(os.path.join(testing_workdir, 'osx-64', 'stat.json'))
conda_build.index.update_index(testing_workdir, channel_name='test-channel', debug=True)
with open(join(testing_workdir, 'osx-64', 'repodata.json')) as fh:
actual_repodata_json = json.loads(fh.read())
assert actual_repodata_json == expected_repodata_json
def test_new_pkg_format_stat_cache_used(testing_workdir, mocker):
# if we have old .tar.bz2 index cache stuff, assert that we pick up correct md5, sha26 and size for .conda
test_package_path = join(testing_workdir, 'osx-64', 'conda-index-pkg-a-1.0-py27h5e241af_0')
copy_into(os.path.join(archive_dir, 'conda-index-pkg-a-1.0-py27h5e241af_0' + '.tar.bz2'), test_package_path + '.tar.bz2')
conda_build.index.update_index(testing_workdir, channel_name='test-channel')
# mock the extract function, so that we can assert that it is not called, because the stat cache should exist
# if this doesn't work, something about the stat cache is confused. It's a little convoluted, because
# the index has keys for .tar.bz2's, but the stat cache comes from .conda files when they are available
# because extracting them is much, much faster.
copy_into(os.path.join(archive_dir, 'conda-index-pkg-a-1.0-py27h5e241af_0' + '.conda'), test_package_path + '.conda')
cph_extract = mocker.spy(conda_package_handling.api, 'extract')
conda_build.index.update_index(testing_workdir, channel_name='test-channel', debug=True)
cph_extract.assert_not_called()
with open(join(testing_workdir, 'osx-64', 'repodata.json')) as fh:
actual_repodata_json = json.loads(fh.read())
expected_repodata_json = {
"info": {
'subdir': 'osx-64',
},
"packages": {
"conda-index-pkg-a-1.0-py27h5e241af_0.tar.bz2": {
"build": "py27h5e241af_0",
"build_number": 0,
"depends": [
"python >=2.7,<2.8.0a0"
],
"license": "BSD",
"md5": "37861df8111170f5eed4bff27868df59",
"name": "conda-index-pkg-a",
"sha256": "459f3e9b2178fa33bdc4e6267326405329d1c1ab982273d9a1c0a5084a1ddc30",
"size": 8733,
"subdir": "osx-64",
"timestamp": 1508520039632,
"version": "1.0",
},
},
"packages.conda": {
"conda-index-pkg-a-1.0-py27h5e241af_0.conda": {
"build": "py27h5e241af_0",
"build_number": 0,
"depends": [
"python >=2.7,<2.8.0a0"
],
"license": "BSD",
"md5": "4ed4b435f400dac1aabdc1fff06f78ff",
"name": "conda-index-pkg-a",
"sha256": "67b07b644105439515cc5c8c22c86939514cacf30c8c574cd70f5f1267a40f19",
"size": 9296,
"subdir": "osx-64",
"timestamp": 1508520039632,
"version": "1.0",
},
},
"removed": [],
"repodata_version": 1,
}
assert actual_repodata_json == expected_repodata_json
@pytest.mark.skipif(not hasattr(context, 'use_only_tar_bz2') or getattr(context, 'use_only_tar_bz2'),
reason="conda is set to auto-disable .conda for old conda-build.")
def test_current_index_reduces_space():
repodata = os.path.join(os.path.dirname(__file__), 'index_data', 'time_cut', 'repodata.json')
with open(repodata) as f:
repodata = json.load(f)
assert len(repodata['packages']) == 7
assert len(repodata['packages.conda']) == 3
trimmed_repodata = conda_build.index._build_current_repodata("linux-64", repodata, None)
tar_bz2_keys = {"two-because-satisfiability-1.2.11-h7b6447c_3.tar.bz2",
"two-because-satisfiability-1.2.10-h7b6447c_3.tar.bz2",
"depends-on-older-1.2.10-h7b6447c_3.tar.bz2",
"ancient-package-1.2.10-h7b6447c_3.tar.bz2",
"one-gets-filtered-1.3.10-h7b6447c_3.tar.bz2"
}
# conda 4.7 removes .tar.bz2 files in favor of .conda files
if conda_47:
tar_bz2_keys.remove("one-gets-filtered-1.3.10-h7b6447c_3.tar.bz2")
# .conda files will replace .tar.bz2 files. Older packages that are necessary for satisfiability will remain
assert set(trimmed_repodata['packages'].keys()) == tar_bz2_keys
if conda_47:
assert set(trimmed_repodata['packages.conda'].keys()) == {"one-gets-filtered-1.3.10-h7b6447c_3.conda"}
# we can keep more than one version series using a collection of keys
trimmed_repodata = conda_build.index._build_current_repodata("linux-64", repodata, {'one-gets-filtered': ['1.2', '1.3']})
if conda_47:
assert set(trimmed_repodata['packages.conda'].keys()) == {"one-gets-filtered-1.2.11-h7b6447c_3.conda",
"one-gets-filtered-1.3.10-h7b6447c_3.conda"}
else:
assert set(trimmed_repodata['packages'].keys()) == tar_bz2_keys | {"one-gets-filtered-1.2.11-h7b6447c_3.tar.bz2"}
def test_current_index_version_keys_keep_older_packages(testing_workdir):
pkg_dir = os.path.join(os.path.dirname(__file__), 'index_data', 'packages')
# pass no version file
api.update_index(pkg_dir)
with open(os.path.join(pkg_dir, 'osx-64', 'current_repodata.json')) as f:
repodata = json.load(f)
# only the newest version is kept
assert len(repodata['packages']) == 1
assert list(repodata['packages'].values())[0]['version'] == "2.0"
# pass version file
api.update_index(pkg_dir, current_index_versions=os.path.join(pkg_dir, 'versions.yml'))
with open(os.path.join(pkg_dir, 'osx-64', 'current_repodata.json')) as f:
repodata = json.load(f)
assert len(repodata['packages']) == 2
# pass dict that is equivalent to version file
api.update_index(pkg_dir, current_index_versions={'dummy-package': ["1.0"]})
with open(os.path.join(pkg_dir, 'osx-64', 'current_repodata.json')) as f:
repodata = json.load(f)
assert list(repodata['packages'].values())[0]['version'] == "1.0"
def test_channeldata_picks_up_all_versions_of_run_exports():
pkg_dir = os.path.join(os.path.dirname(__file__), 'index_data', 'packages')
api.update_index(pkg_dir)
with open(os.path.join(pkg_dir, 'channeldata.json')) as f:
repodata = json.load(f)
run_exports = repodata['packages']['run_exports_versions']['run_exports']
assert len(run_exports) == 2
assert "1.0" in run_exports
assert "2.0" in run_exports
def test_index_invalid_packages():
pkg_dir = os.path.join(os.path.dirname(__file__), 'index_data', 'corrupt')
api.update_index(pkg_dir)
with open(os.path.join(pkg_dir, 'channeldata.json')) as f:
repodata = json.load(f)
assert len(repodata['packages']) == 0
| 45.410555 | 171 | 0.602986 | 6,312 | 50,769 | 4.658904 | 0.082383 | 0.025912 | 0.022138 | 0.029993 | 0.810657 | 0.790798 | 0.778998 | 0.768116 | 0.764478 | 0.751046 | 0 | 0.052618 | 0.255806 | 50,769 | 1,117 | 172 | 45.451209 | 0.725716 | 0.079261 | 0 | 0.719457 | 0 | 0.031674 | 0.382519 | 0.126597 | 0 | 0 | 0 | 0 | 0.14819 | 1 | 0.020362 | false | 0.004525 | 0.020362 | 0 | 0.042986 | 0.004525 | 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 |
58b1e0032786ab27017166dac82d3e20461c3550 | 2,477 | py | Python | tests/python/test_simt.py | hikaru-sysu/taichi | 73bd8451c306e87b0e159a4853d4b05f77c25458 | [
"MIT"
] | null | null | null | tests/python/test_simt.py | hikaru-sysu/taichi | 73bd8451c306e87b0e159a4853d4b05f77c25458 | [
"MIT"
] | null | null | null | tests/python/test_simt.py | hikaru-sysu/taichi | 73bd8451c306e87b0e159a4853d4b05f77c25458 | [
"MIT"
] | null | null | null | import random
from pytest import approx
import taichi as ti
from tests import test_utils
@test_utils.test(arch=ti.cuda)
def test_all_nonzero():
# TODO
pass
@test_utils.test(arch=ti.cuda)
def test_any_nonzero():
# TODO
pass
@test_utils.test(arch=ti.cuda)
def test_unique():
# TODO
pass
@test_utils.test(arch=ti.cuda)
def test_ballot():
a = ti.field(dtype=ti.u32, shape=32)
b = ti.field(dtype=ti.u32, shape=32)
@ti.kernel
def foo():
ti.loop_config(block_dim=32)
for i in range(32):
a[i] = ti.simt.warp.ballot(b[i])
key = 0
for i in range(32):
b[i] = i % 2
key += b[i] * pow(2, i)
foo()
for i in range(32):
assert a[i] == key
@test_utils.test(arch=ti.cuda)
def test_shfl_i32():
# TODO
pass
@test_utils.test(arch=ti.cuda)
def test_shfl_up_i32():
# TODO
pass
@test_utils.test(arch=ti.cuda)
def test_shfl_down_i32():
a = ti.field(dtype=ti.i32, shape=32)
b = ti.field(dtype=ti.i32, shape=32)
@ti.kernel
def foo():
ti.loop_config(block_dim=32)
for i in range(32):
a[i] = ti.simt.warp.shfl_down_i32(ti.u32(0xFFFFFFFF), b[i], 1)
for i in range(32):
b[i] = i * i
foo()
for i in range(31):
assert a[i] == b[i + 1]
# TODO: make this test case stronger
@test_utils.test(arch=ti.cuda)
def test_shfl_up_i32():
a = ti.field(dtype=ti.i32, shape=32)
@ti.kernel
def foo():
ti.loop_config(block_dim=32)
for i in range(32):
a[i] = ti.simt.warp.shfl_up_i32(ti.u32(0xFFFFFFFF), a[i], 1)
for i in range(32):
a[i] = i * i
foo()
for i in range(1, 32):
assert a[i] == (i - 1) * (i - 1)
@test_utils.test(arch=ti.cuda)
def test_shfl_up_f32():
a = ti.field(dtype=ti.f32, shape=32)
@ti.kernel
def foo():
ti.loop_config(block_dim=32)
for i in range(32):
a[i] = ti.simt.warp.shfl_up_f32(ti.u32(0xFFFFFFFF), a[i], 1)
for i in range(32):
a[i] = i * i * 0.9
foo()
for i in range(1, 32):
assert a[i] == approx((i - 1) * (i - 1) * 0.9, abs=1e-4)
@test_utils.test(arch=ti.cuda)
def test_match_any():
# TODO
pass
@test_utils.test(arch=ti.cuda)
def test_match_all():
# TODO
pass
@test_utils.test(arch=ti.cuda)
def test_active_mask():
# TODO
pass
@test_utils.test(arch=ti.cuda)
def test_sync():
# TODO
pass
| 17.321678 | 74 | 0.573678 | 430 | 2,477 | 3.176744 | 0.151163 | 0.09224 | 0.133236 | 0.161786 | 0.811859 | 0.798682 | 0.787701 | 0.754758 | 0.698389 | 0.622987 | 0 | 0.055525 | 0.272911 | 2,477 | 142 | 75 | 17.443662 | 0.702943 | 0.031893 | 0 | 0.609195 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012568 | 0.007042 | 0.045977 | 1 | 0.195402 | false | 0.103448 | 0.045977 | 0 | 0.241379 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 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 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 7 |
58d20e7e4737d70644a25abb2183293e2b79d193 | 15,186 | py | Python | blogs/views.py | bunnybunbun37204/Change-Agriculter-life-YSC | d02017b3d98b4a3f17b7ac036d0220df0e5faa67 | [
"MIT"
] | null | null | null | blogs/views.py | bunnybunbun37204/Change-Agriculter-life-YSC | d02017b3d98b4a3f17b7ac036d0220df0e5faa67 | [
"MIT"
] | null | null | null | blogs/views.py | bunnybunbun37204/Change-Agriculter-life-YSC | d02017b3d98b4a3f17b7ac036d0220df0e5faa67 | [
"MIT"
] | null | null | null | from django.shortcuts import render
from django.http import HttpResponse
from .models import Data
# Create your views here.
def hello(request):
return render(request,'index.html')
def preindex(request):
return render(request,'preindex.html')
def foropen(request):
return render(request,'foropen.html')
def foropen2(request):
return render(request,'foropen2.html')
def foropen3(request):
return render(request,'foropen3.html')
def form(request):
return render(request,'form.html')
def form1_1(request):
return render(request,'form1_1.html')
def form2(request):
return render(request,'form2.html')
def form2_1(request):
return render(request,'form2_1.html')
def form3(request):
return render(request,'form3.html')
def form3_1(request):
return render(request,'form3_1.html')
def form4(request):
return render(request,'form4.html')
def select(request):
return render(request,'select.html')
def addBlog(request):
nitrogen=int(request.GET['num1'])
potasium=int(request.GET['num3'])
phosphorus=int(request.GET['num2'])
kilogram = int(request.GET['num4'])
age = int(request.GET['num5'])
if age in range(0,3):
kilogram=round(kilogram*70*150/1000)
active_Phosphorus = round(kilogram*phosphorus/46,2)
nitrogen_Phos = round(18*active_Phosphorus/kilogram,2)
nitrogen_nothave= round(nitrogen-nitrogen_Phos,2)
Urea = round(kilogram*nitrogen_nothave/46,2)
Mop = round(kilogram*potasium/60,2)
elif age in range(3,7) :
kilogram=round(kilogram*70*500/1000)
active_Phosphorus = round(kilogram*phosphorus/46,2)
nitrogen_Phos = round(18*active_Phosphorus/kilogram,2)
nitrogen_nothave= round(nitrogen-nitrogen_Phos,2)
Urea = round(kilogram*nitrogen_nothave/46,2)
Mop = round(((kilogram*potasium/60)),2)
elif age in range(7,16):
kilogram=round(kilogram*70*700/1000)
active_Phosphorus = round(kilogram*phosphorus/46,2)
nitrogen_Phos = round(18*active_Phosphorus/kilogram,2)
nitrogen_nothave= round(nitrogen-nitrogen_Phos,2)
Urea = round(kilogram*nitrogen_nothave/46,2)
Mop = round(((kilogram*potasium/60)),2)
elif age in range(16,100):
kilogram=round(kilogram*70)
active_Phosphorus = round(kilogram*phosphorus/46,2)
nitrogen_Phos = round(18*active_Phosphorus/kilogram,2)
nitrogen_nothave= round(nitrogen-nitrogen_Phos,2)
Urea = round(kilogram*nitrogen_nothave/46,2)
Mop = round(((kilogram*potasium/60)),2)
else:
kilogram=0
active_Phosphorus = 0
nitrogen_Phos = 0
nitrogen_nothave= 0
Urea = 0
Mop = 0
total = round(Urea+active_Phosphorus+Mop,2)
element = round(kilogram-total,2)
result = total+element
cost_Urea = round(Urea*11.9,2)
cost_DAP = round(active_Phosphorus*17.7,2)
cost_MOP = round(Mop*10,2)
cost_Total = round(cost_DAP+cost_Urea+cost_MOP,2)
return render(request,'result.html',
{'urea':Urea,
'dap': active_Phosphorus,
'mop': Mop,
'total':result,
'element':element,
'cost_Urea':cost_Urea,
'cost_DAP':cost_DAP,
'cost_MOP':cost_MOP,
'cost_Total':cost_Total
})
def addBlog1_1(request):
nitrogen=int(request.GET['num1'])
potasium=int(request.GET['num3'])
phosphorus=int(request.GET['num2'])
kilogram = int(request.GET['num4'])
age = int(request.GET['num5'])
if age in range(0,3):
kilogram=round(kilogram*70*150/1000)
active_Phosphorus = round(kilogram*phosphorus/46,2)
nitrogen_Phos = round(18*active_Phosphorus/kilogram,2)
nitrogen_nothave= round(nitrogen-nitrogen_Phos,2)
Urea = round(kilogram*nitrogen_nothave/21,2)
Mop = round(kilogram*potasium/60,2)
elif age in range(3,7) :
kilogram=round(kilogram*70*500/1000)
active_Phosphorus = round(kilogram*phosphorus/46,2)
nitrogen_Phos = round(18*active_Phosphorus/kilogram,2)
nitrogen_nothave= round(nitrogen-nitrogen_Phos,2)
Urea = round(kilogram*nitrogen_nothave/21,2)
Mop = round(((kilogram*potasium/60)),2)
elif age in range(7,16):
kilogram=round(kilogram*70*700/1000)
active_Phosphorus = round(kilogram*phosphorus/46,2)
nitrogen_Phos = round(18*active_Phosphorus/kilogram,2)
nitrogen_nothave= round(nitrogen-nitrogen_Phos,2)
Urea = round(kilogram*nitrogen_nothave/21,2)
Mop = round(((kilogram*potasium/60)),2)
elif age in range(16,100):
kilogram=round(kilogram*70)
active_Phosphorus = round(kilogram*phosphorus/46,2)
nitrogen_Phos = round(18*active_Phosphorus/kilogram,2)
nitrogen_nothave= round(nitrogen-nitrogen_Phos,2)
Urea = round(kilogram*nitrogen_nothave/21,2)
Mop = round(((kilogram*potasium/60)),2)
else:
kilogram=0
active_Phosphorus = 0
nitrogen_Phos = 0
nitrogen_nothave= 0
Urea = 0
Mop = 0
total = round(Urea+active_Phosphorus+Mop,2)
element = round(kilogram-total,2)
result = round(total+element,2)
cost_Urea = round(Urea*7,2)
cost_DAP = round(active_Phosphorus*17.7,2)
cost_MOP = round(Mop*10,2)
cost_Total = round(cost_DAP+cost_Urea+cost_MOP,2)
return render(request,'result.html',
{'urea':Urea,
'dap': active_Phosphorus,
'mop': Mop,
'total':result,
'element':element,
'cost_Urea':cost_Urea,
'cost_DAP':cost_DAP,
'cost_MOP':cost_MOP,
'cost_Total':cost_Total
})
def addBlog2(request):
area=int(request.GET['num1'])
age=int(request.GET['num2'])
if age in range(0,2):
Kilo = round(area*0.3*22,2)
Nitrogen = 20
Phosphorus = 11
Potasium = 11
Urea = round((0.34*Kilo),2)
DAP = round((0.24 *Kilo),2)
MOP = round(0.18 *Kilo,2)
MgO = 0
total = round(Kilo,2)
elif age in range(2,3):
Kilo = round(area*22,2)
Nitrogen = 14
Phosphorus = 9
Potasium = 20
Urea = round(0.11*Kilo,2)
DAP = round(0.10*Kilo,2)
MOP = round((0.23+0.5)*Kilo,2)
MgO = round(0.01*Kilo,2)
total = Kilo*1
elif age in range(3,4):
Kilo = round(area*22,2)
Nitrogen = 14
Phosphorus = 9
Potasium = 20
Urea = round(0.18*Kilo,2)
DAP = round(0.16*Kilo,2)
MOP = ((1.17)*Kilo)
MgO = round(0.016*Kilo,2)
total = round(Kilo*1.6,2)
elif age in range(4,5):
Kilo = round(area*22,2)
Nitrogen = 14
Phosphorus = 9
Potasium = 20
Urea = round(0.34*Kilo,2)
DAP = round(0.29*Kilo,2)
MOP = round(((2)*Kilo),2)
MgO = round(0.03*Kilo,2)
total = Kilo*3
elif age in range(5,6):
Kilo = round(area*22,2)
Nitrogen = 14
Phosphorus = 9
Potasium = 20
Urea = round(0.46*Kilo,2)
DAP = round(0.39*Kilo,2)
MOP = round((2.67)*Kilo,2)
MgO = round(0.04*Kilo,2)
total = Kilo*4
elif age in range(6,30):
Kilo = round(area*22,2)
Nitrogen = 14
Phosphorus = 14
Potasium = 21
Urea = round(0.37*Kilo,2)
DAP = round(0.61*Kilo,2)
MOP = round((2.20)*Kilo,2)
MgO = round(0.04*Kilo,2)
total = round(Kilo*3.5,2)
result = round(total-(Urea+DAP+MOP+MgO),2)
total=round((Urea+DAP+MOP+MgO+result),2)
cost_Urea = round(Urea*11.9,2)
cost_DAP = round(DAP*17.7,2)
cost_MOP = round(MOP*10,2)
cost_Mgo = round(MgO*8.9,2)
cost_Total = round(cost_DAP+cost_Urea+cost_MOP+cost_Mgo,2)
return render(request,'result2.html',{
'Nitrogen':Nitrogen,
'Phosphorus':Phosphorus,
'Potasium':Potasium,
'Urea':Urea,
'DAP':DAP,
'MOP': MOP,
'MgO': MgO,
'total': total,
'element':result,
'cost_Urea':cost_Urea,
'cost_DAP':cost_DAP,
'cost_MOP':cost_MOP,
'cost_Mgo':cost_Mgo,
'cost_Total':cost_Total
})
def addBlog2_1(request):
area=int(request.GET['num1'])
age=int(request.GET['num2'])
if age in range(0,2):
Kilo = round(area*0.3*22,2)
Nitrogen = 20
Phosphorus = 11
Potasium = 11
Urea = round((0.75*Kilo),2)
DAP = round((0.24 *Kilo),2)
MOP = round(0.18 *Kilo,2)
MgO = 0
total = round(Kilo,2)
elif age in range(2,3):
Kilo = round(area*22,2)
Nitrogen = 14
Phosphorus = 9
Potasium = 20
Urea = round(0.25*Kilo,2)
DAP = round(0.10*Kilo,2)
MOP = round((0.23+0.5)*Kilo,2)
MgO = round(0.01*Kilo,2)
total = Kilo*1
elif age in range(3,4):
Kilo = round(area*22,2)
Nitrogen = 14
Phosphorus = 9
Potasium = 20
Urea = round(0.40*Kilo,2)
DAP = round(0.16*Kilo,2)
MOP = ((1.17)*Kilo)
MgO = round(0.016*Kilo,2)
total = round(Kilo*1.6,2)
elif age in range(4,5):
Kilo = round(area*22,2)
Nitrogen = 14
Phosphorus = 9
Potasium = 20
Urea = round(0.75*Kilo,2)
DAP = round(0.29*Kilo,2)
MOP = round(((2)*Kilo),2)
MgO = round(0.03*Kilo,2)
total = Kilo*3
elif age in range(5,6):
Kilo = round(area*22,2)
Nitrogen = 14
Phosphorus = 9
Potasium = 20
Urea = round(1*Kilo,2)
DAP = round(0.39*Kilo,2)
MOP = round((2.67)*Kilo,2)
MgO = round(0.04*Kilo,2)
total = Kilo*4
elif age in range(6,30):
Kilo = round(area*22,2)
Nitrogen = 14
Phosphorus = 14
Potasium = 21
Urea = round(0.81*Kilo,2)
DAP = round(0.61*Kilo,2)
MOP = round((2.20)*Kilo,2)
MgO = round(0.04*Kilo,2)
total = round(Kilo*3.5,2)
result = round(total-(Urea+DAP+MOP+MgO),2)
total=round(Urea+DAP+MOP+MgO+result,2)
cost_Urea = round(Urea*7,2)
cost_DAP = round(DAP*17.7,2)
cost_MOP = round(MOP*10,2)
cost_Mgo = round(MgO*8.9,2)
cost_Total = round(cost_DAP+cost_Urea+cost_MOP+cost_Mgo,2)
return render(request,'result2.html',{
'Nitrogen':Nitrogen,
'Phosphorus':Phosphorus,
'Potasium':Potasium,
'Urea':Urea,
'DAP':DAP,
'MOP': MOP,
'MgO': MgO,
'total': total,
'element':result,
'cost_Urea':cost_Urea,
'cost_DAP':cost_DAP,
'cost_MOP':cost_MOP,
'cost_Mgo':cost_Mgo,
'cost_Total':cost_Total
})
def addCustom(request):
nitrogen=int(request.GET['num1'])
potasium=int(request.GET['num3'])
phosphorus=int(request.GET['num2'])
kilogram = int(request.GET['num4'])
active_Phosphorus = round(kilogram*phosphorus/46,2)
nitrogen_Phos = round(18*active_Phosphorus/kilogram,2)
nitrogen_nothave= round(nitrogen-nitrogen_Phos,2)
Urea = round(kilogram*nitrogen_nothave/46,2)
Mop = round(kilogram*potasium/60,2)
total = round(Urea+active_Phosphorus+Mop,2)
element = round(kilogram-total,2)
result = round(total+element,2)
cost_Urea = round(Urea*11.9,2)
cost_DAP = round(active_Phosphorus*17.7,2)
cost_MOP = round(Mop*10,2)
cost_Total = round(cost_DAP+cost_Urea+cost_MOP,2)
return render(request,'result.html',
{'urea':Urea,
'dap': active_Phosphorus,
'mop': Mop,
'total':result,
'element':element,
'cost_Urea':cost_Urea,
'cost_DAP':cost_DAP,
'cost_MOP':cost_MOP,
'cost_Total':cost_Total
})
def addCustom2(request):
nitrogen=int(request.GET['num1'])
potasium=int(request.GET['num3'])
phosphorus=int(request.GET['num2'])
kilogram = int(request.GET['num4'])
active_Phosphorus = round(kilogram*phosphorus/46,2)
nitrogen_Phos = round(18*active_Phosphorus/kilogram,2)
nitrogen_nothave= round(nitrogen-nitrogen_Phos,2)
Urea = round(kilogram*nitrogen_nothave/21,2)
Mop = round(kilogram*potasium/60,2)
total = round(Urea+active_Phosphorus+Mop,2)
element = round(kilogram-total,2)
result = round(total+element,2)
cost_Urea = round(Urea*7,2)
cost_DAP = round(active_Phosphorus*17.7,2)
cost_MOP = round(Mop*10,2)
cost_Total = round(cost_DAP+cost_Urea+cost_MOP,2)
return render(request,'result.html',
{'urea':Urea,
'dap': active_Phosphorus,
'mop': Mop,
'total':result,
'element':element,
'cost_Urea':cost_Urea,
'cost_DAP':cost_DAP,
'cost_MOP':cost_MOP,
'cost_Total':cost_Total
})
def viewDev(request):
return render(request,'viewDev.html')
def optimizeFertilizer_open(request):
return render(request,'viewratio.html')
def openrubber(request):
return render(request,'rubber.html')
def openpalm(request):
return render(request,'palm.html')
def rubberResult(request):
area = int(request.GET['area'])
age = int(request.GET['age'])
if age >= 7 and age<=15: #15-7-18 and 20-8-20
string1 = '15-7-18'
string2 = '20-8-20'
fstChemical = round(30.3*area,2)
fstOrganic = round(4.7*area,2)
scndChemical = round(16.5*area,2)
scndOrganic = round(18.4*area,2)
elif age>15: #21-7-18, 30-3-18
string1 = '21-7-18'
string2 = '30-3-18'
fstChemical = round(6.7*area,2)
fstOrganic = round(42.27*area,2)
scndChemical = round(6.7*area,2)
scndOrganic = round(42.27*area,2)
else:
string1 = 'ไม่ทราบค่า'
string2 = 'ไม่ทราบค่า'
fstChemical = 0
fstOrganic = 0
scndChemical = 0
scndOrganic = 0
fstTotal = round(fstChemical+fstOrganic,2)
scndTotal = round(scndChemical+scndOrganic,2)
return render(request,'ratioResult.html',
{
'fstchem':fstChemical,
'fstorg':fstOrganic,
'fsttotal':fstTotal,
'scndchem':scndChemical,
'scndorg':scndOrganic,
'scndtotal':scndTotal,
'str1':string1,
'str2':string2,
})
def palmResult(request):
area = int(request.GET['area'])
age = int(request.GET['age'])
if age >= 5 and age<=6: #14-9-20
string = '14-9-20'
fstChemical = round(24.14*area,2)
fstOrganic = round(4.21*area,2)
elif age>6: #14-14-21
string = '14-14-21'
fstChemical = round(97.63*area,2)
fstOrganic = round(169.89*area,2)
else:
string = 'ไม่ทราบค่า'
fstChemical = 0
fstOrganic = 0
fstTotal = round(fstChemical+fstOrganic,2)
return render(request,'ratioResult1.html',
{
'fstchem':fstChemical,
'fstorg':fstOrganic,
'fsttotal':fstTotal,
'str':string,
})
| 33.973154 | 63 | 0.588832 | 2,051 | 15,186 | 4.27255 | 0.073135 | 0.026247 | 0.038571 | 0.050439 | 0.840009 | 0.810453 | 0.800525 | 0.7882 | 0.7882 | 0.779756 | 0 | 0.076002 | 0.273937 | 15,186 | 446 | 64 | 34.049327 | 0.718212 | 0.004807 | 0 | 0.778781 | 0 | 0 | 0.065625 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.056433 | false | 0 | 0.006772 | 0.038375 | 0.119639 | 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 |
4519c36687649b66515590e3ad6aa196b838f0db | 26,638 | py | Python | sdk/python/pulumi_ucloud/ipsecvpn/vpn_gateway.py | AaronFriel/pulumi-ucloud | 199278786dddf46bdd370f3f805e30b279c63ff2 | [
"ECL-2.0",
"Apache-2.0"
] | 4 | 2021-08-18T04:55:38.000Z | 2021-09-08T07:59:24.000Z | sdk/python/pulumi_ucloud/ipsecvpn/vpn_gateway.py | AaronFriel/pulumi-ucloud | 199278786dddf46bdd370f3f805e30b279c63ff2 | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2022-01-28T17:59:37.000Z | 2022-01-29T03:44:09.000Z | sdk/python/pulumi_ucloud/ipsecvpn/vpn_gateway.py | AaronFriel/pulumi-ucloud | 199278786dddf46bdd370f3f805e30b279c63ff2 | [
"ECL-2.0",
"Apache-2.0"
] | 2 | 2021-06-23T07:10:40.000Z | 2021-06-23T09:25:12.000Z | # 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__ = ['VPNGatewayArgs', 'VPNGateway']
@pulumi.input_type
class VPNGatewayArgs:
def __init__(__self__, *,
eip_id: pulumi.Input[str],
grade: pulumi.Input[str],
vpc_id: pulumi.Input[str],
charge_type: Optional[pulumi.Input[str]] = None,
duration: Optional[pulumi.Input[int]] = None,
name: Optional[pulumi.Input[str]] = None,
remark: Optional[pulumi.Input[str]] = None,
tag: Optional[pulumi.Input[str]] = None):
"""
The set of arguments for constructing a VPNGateway resource.
:param pulumi.Input[str] eip_id: The ID of eip associate to the VPN Gateway.
:param pulumi.Input[str] grade: The type of the VPN Gateway. Possible values: `standard`, `enhanced`. `standard` recommended application scenario: Applicable to services with bidirectional peak bandwidth of 1M~50M; `enhanced` recommended application scenario: Suitable for services with bidirectional peak bandwidths of 50M~100M.
:param pulumi.Input[str] vpc_id: The ID of VPC linked to the VPN Gateway.
:param pulumi.Input[str] charge_type: The charge type of VPN Gateway, possible values are: `year`, `month` and `dynamic` as pay by hour (specific permission required). (Default: `month`).
:param pulumi.Input[int] duration: The duration that you will buy the VPN Gateway (Default: `1`). The value is `0` when pay by month and the instance will be valid till the last day of that month. It is not required when `dynamic` (pay by hour).
:param pulumi.Input[str] remark: The remarks of the VPN Gateway. (Default: `""`).
:param pulumi.Input[str] tag: A tag assigned to VPN Gateway, which contains at most 63 characters and only support Chinese, English, numbers, '-', '_', and '.'. If it is not filled in or a empty string is filled in, then default tag will be assigned. (Default: `Default`).
* ``
"""
pulumi.set(__self__, "eip_id", eip_id)
pulumi.set(__self__, "grade", grade)
pulumi.set(__self__, "vpc_id", vpc_id)
if charge_type is not None:
pulumi.set(__self__, "charge_type", charge_type)
if duration is not None:
pulumi.set(__self__, "duration", duration)
if name is not None:
pulumi.set(__self__, "name", name)
if remark is not None:
pulumi.set(__self__, "remark", remark)
if tag is not None:
pulumi.set(__self__, "tag", tag)
@property
@pulumi.getter(name="eipId")
def eip_id(self) -> pulumi.Input[str]:
"""
The ID of eip associate to the VPN Gateway.
"""
return pulumi.get(self, "eip_id")
@eip_id.setter
def eip_id(self, value: pulumi.Input[str]):
pulumi.set(self, "eip_id", value)
@property
@pulumi.getter
def grade(self) -> pulumi.Input[str]:
"""
The type of the VPN Gateway. Possible values: `standard`, `enhanced`. `standard` recommended application scenario: Applicable to services with bidirectional peak bandwidth of 1M~50M; `enhanced` recommended application scenario: Suitable for services with bidirectional peak bandwidths of 50M~100M.
"""
return pulumi.get(self, "grade")
@grade.setter
def grade(self, value: pulumi.Input[str]):
pulumi.set(self, "grade", value)
@property
@pulumi.getter(name="vpcId")
def vpc_id(self) -> pulumi.Input[str]:
"""
The ID of VPC linked to the VPN Gateway.
"""
return pulumi.get(self, "vpc_id")
@vpc_id.setter
def vpc_id(self, value: pulumi.Input[str]):
pulumi.set(self, "vpc_id", value)
@property
@pulumi.getter(name="chargeType")
def charge_type(self) -> Optional[pulumi.Input[str]]:
"""
The charge type of VPN Gateway, possible values are: `year`, `month` and `dynamic` as pay by hour (specific permission required). (Default: `month`).
"""
return pulumi.get(self, "charge_type")
@charge_type.setter
def charge_type(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "charge_type", value)
@property
@pulumi.getter
def duration(self) -> Optional[pulumi.Input[int]]:
"""
The duration that you will buy the VPN Gateway (Default: `1`). The value is `0` when pay by month and the instance will be valid till the last day of that month. It is not required when `dynamic` (pay by hour).
"""
return pulumi.get(self, "duration")
@duration.setter
def duration(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "duration", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter
def remark(self) -> Optional[pulumi.Input[str]]:
"""
The remarks of the VPN Gateway. (Default: `""`).
"""
return pulumi.get(self, "remark")
@remark.setter
def remark(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "remark", value)
@property
@pulumi.getter
def tag(self) -> Optional[pulumi.Input[str]]:
"""
A tag assigned to VPN Gateway, which contains at most 63 characters and only support Chinese, English, numbers, '-', '_', and '.'. If it is not filled in or a empty string is filled in, then default tag will be assigned. (Default: `Default`).
* ``
"""
return pulumi.get(self, "tag")
@tag.setter
def tag(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "tag", value)
@pulumi.input_type
class _VPNGatewayState:
def __init__(__self__, *,
charge_type: Optional[pulumi.Input[str]] = None,
create_time: Optional[pulumi.Input[str]] = None,
duration: Optional[pulumi.Input[int]] = None,
eip_id: Optional[pulumi.Input[str]] = None,
expire_time: Optional[pulumi.Input[str]] = None,
grade: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
remark: Optional[pulumi.Input[str]] = None,
tag: Optional[pulumi.Input[str]] = None,
vpc_id: Optional[pulumi.Input[str]] = None):
"""
Input properties used for looking up and filtering VPNGateway resources.
:param pulumi.Input[str] charge_type: The charge type of VPN Gateway, possible values are: `year`, `month` and `dynamic` as pay by hour (specific permission required). (Default: `month`).
:param pulumi.Input[str] create_time: The creation time for VPN Gateway, formatted in RFC3339 time string.
:param pulumi.Input[int] duration: The duration that you will buy the VPN Gateway (Default: `1`). The value is `0` when pay by month and the instance will be valid till the last day of that month. It is not required when `dynamic` (pay by hour).
:param pulumi.Input[str] eip_id: The ID of eip associate to the VPN Gateway.
:param pulumi.Input[str] expire_time: The expiration time for VPN Gateway, formatted in RFC3339 time string.
:param pulumi.Input[str] grade: The type of the VPN Gateway. Possible values: `standard`, `enhanced`. `standard` recommended application scenario: Applicable to services with bidirectional peak bandwidth of 1M~50M; `enhanced` recommended application scenario: Suitable for services with bidirectional peak bandwidths of 50M~100M.
:param pulumi.Input[str] remark: The remarks of the VPN Gateway. (Default: `""`).
:param pulumi.Input[str] tag: A tag assigned to VPN Gateway, which contains at most 63 characters and only support Chinese, English, numbers, '-', '_', and '.'. If it is not filled in or a empty string is filled in, then default tag will be assigned. (Default: `Default`).
* ``
:param pulumi.Input[str] vpc_id: The ID of VPC linked to the VPN Gateway.
"""
if charge_type is not None:
pulumi.set(__self__, "charge_type", charge_type)
if create_time is not None:
pulumi.set(__self__, "create_time", create_time)
if duration is not None:
pulumi.set(__self__, "duration", duration)
if eip_id is not None:
pulumi.set(__self__, "eip_id", eip_id)
if expire_time is not None:
pulumi.set(__self__, "expire_time", expire_time)
if grade is not None:
pulumi.set(__self__, "grade", grade)
if name is not None:
pulumi.set(__self__, "name", name)
if remark is not None:
pulumi.set(__self__, "remark", remark)
if tag is not None:
pulumi.set(__self__, "tag", tag)
if vpc_id is not None:
pulumi.set(__self__, "vpc_id", vpc_id)
@property
@pulumi.getter(name="chargeType")
def charge_type(self) -> Optional[pulumi.Input[str]]:
"""
The charge type of VPN Gateway, possible values are: `year`, `month` and `dynamic` as pay by hour (specific permission required). (Default: `month`).
"""
return pulumi.get(self, "charge_type")
@charge_type.setter
def charge_type(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "charge_type", value)
@property
@pulumi.getter(name="createTime")
def create_time(self) -> Optional[pulumi.Input[str]]:
"""
The creation time for VPN Gateway, formatted in RFC3339 time string.
"""
return pulumi.get(self, "create_time")
@create_time.setter
def create_time(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "create_time", value)
@property
@pulumi.getter
def duration(self) -> Optional[pulumi.Input[int]]:
"""
The duration that you will buy the VPN Gateway (Default: `1`). The value is `0` when pay by month and the instance will be valid till the last day of that month. It is not required when `dynamic` (pay by hour).
"""
return pulumi.get(self, "duration")
@duration.setter
def duration(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "duration", value)
@property
@pulumi.getter(name="eipId")
def eip_id(self) -> Optional[pulumi.Input[str]]:
"""
The ID of eip associate to the VPN Gateway.
"""
return pulumi.get(self, "eip_id")
@eip_id.setter
def eip_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "eip_id", value)
@property
@pulumi.getter(name="expireTime")
def expire_time(self) -> Optional[pulumi.Input[str]]:
"""
The expiration time for VPN Gateway, formatted in RFC3339 time string.
"""
return pulumi.get(self, "expire_time")
@expire_time.setter
def expire_time(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "expire_time", value)
@property
@pulumi.getter
def grade(self) -> Optional[pulumi.Input[str]]:
"""
The type of the VPN Gateway. Possible values: `standard`, `enhanced`. `standard` recommended application scenario: Applicable to services with bidirectional peak bandwidth of 1M~50M; `enhanced` recommended application scenario: Suitable for services with bidirectional peak bandwidths of 50M~100M.
"""
return pulumi.get(self, "grade")
@grade.setter
def grade(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "grade", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter
def remark(self) -> Optional[pulumi.Input[str]]:
"""
The remarks of the VPN Gateway. (Default: `""`).
"""
return pulumi.get(self, "remark")
@remark.setter
def remark(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "remark", value)
@property
@pulumi.getter
def tag(self) -> Optional[pulumi.Input[str]]:
"""
A tag assigned to VPN Gateway, which contains at most 63 characters and only support Chinese, English, numbers, '-', '_', and '.'. If it is not filled in or a empty string is filled in, then default tag will be assigned. (Default: `Default`).
* ``
"""
return pulumi.get(self, "tag")
@tag.setter
def tag(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "tag", value)
@property
@pulumi.getter(name="vpcId")
def vpc_id(self) -> Optional[pulumi.Input[str]]:
"""
The ID of VPC linked to the VPN Gateway.
"""
return pulumi.get(self, "vpc_id")
@vpc_id.setter
def vpc_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "vpc_id", value)
class VPNGateway(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
charge_type: Optional[pulumi.Input[str]] = None,
duration: Optional[pulumi.Input[int]] = None,
eip_id: Optional[pulumi.Input[str]] = None,
grade: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
remark: Optional[pulumi.Input[str]] = None,
tag: Optional[pulumi.Input[str]] = None,
vpc_id: Optional[pulumi.Input[str]] = None,
__props__=None):
"""
Provides a VPN Gateway resource.
## Example Usage
```python
import pulumi
import pulumi_ucloud as ucloud
foo_vpc = ucloud.vpc.VPC("fooVPC",
tag="tf-acc",
cidr_blocks=["192.168.0.0/16"])
foo_eip = ucloud.unet.EIP("fooEIP",
bandwidth=1,
internet_type="bgp",
charge_mode="bandwidth",
tag="tf-acc")
foo_vpn_gateway = ucloud.ipsecvpn.VPNGateway("fooVPNGateway",
vpc_id=foo_vpc.id,
grade="enhanced",
eip_id=foo_eip.id,
tag="tf-acc")
```
## Import
VPN Gateway can be imported using the `id`, e.g.
```sh
$ pulumi import ucloud:ipsecvpn/vPNGateway:VPNGateway example vpngw-abc123456
```
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] charge_type: The charge type of VPN Gateway, possible values are: `year`, `month` and `dynamic` as pay by hour (specific permission required). (Default: `month`).
:param pulumi.Input[int] duration: The duration that you will buy the VPN Gateway (Default: `1`). The value is `0` when pay by month and the instance will be valid till the last day of that month. It is not required when `dynamic` (pay by hour).
:param pulumi.Input[str] eip_id: The ID of eip associate to the VPN Gateway.
:param pulumi.Input[str] grade: The type of the VPN Gateway. Possible values: `standard`, `enhanced`. `standard` recommended application scenario: Applicable to services with bidirectional peak bandwidth of 1M~50M; `enhanced` recommended application scenario: Suitable for services with bidirectional peak bandwidths of 50M~100M.
:param pulumi.Input[str] remark: The remarks of the VPN Gateway. (Default: `""`).
:param pulumi.Input[str] tag: A tag assigned to VPN Gateway, which contains at most 63 characters and only support Chinese, English, numbers, '-', '_', and '.'. If it is not filled in or a empty string is filled in, then default tag will be assigned. (Default: `Default`).
* ``
:param pulumi.Input[str] vpc_id: The ID of VPC linked to the VPN Gateway.
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: VPNGatewayArgs,
opts: Optional[pulumi.ResourceOptions] = None):
"""
Provides a VPN Gateway resource.
## Example Usage
```python
import pulumi
import pulumi_ucloud as ucloud
foo_vpc = ucloud.vpc.VPC("fooVPC",
tag="tf-acc",
cidr_blocks=["192.168.0.0/16"])
foo_eip = ucloud.unet.EIP("fooEIP",
bandwidth=1,
internet_type="bgp",
charge_mode="bandwidth",
tag="tf-acc")
foo_vpn_gateway = ucloud.ipsecvpn.VPNGateway("fooVPNGateway",
vpc_id=foo_vpc.id,
grade="enhanced",
eip_id=foo_eip.id,
tag="tf-acc")
```
## Import
VPN Gateway can be imported using the `id`, e.g.
```sh
$ pulumi import ucloud:ipsecvpn/vPNGateway:VPNGateway example vpngw-abc123456
```
:param str resource_name: The name of the resource.
:param VPNGatewayArgs 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(VPNGatewayArgs, 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,
charge_type: Optional[pulumi.Input[str]] = None,
duration: Optional[pulumi.Input[int]] = None,
eip_id: Optional[pulumi.Input[str]] = None,
grade: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
remark: Optional[pulumi.Input[str]] = None,
tag: Optional[pulumi.Input[str]] = None,
vpc_id: 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__ = VPNGatewayArgs.__new__(VPNGatewayArgs)
__props__.__dict__["charge_type"] = charge_type
__props__.__dict__["duration"] = duration
if eip_id is None and not opts.urn:
raise TypeError("Missing required property 'eip_id'")
__props__.__dict__["eip_id"] = eip_id
if grade is None and not opts.urn:
raise TypeError("Missing required property 'grade'")
__props__.__dict__["grade"] = grade
__props__.__dict__["name"] = name
__props__.__dict__["remark"] = remark
__props__.__dict__["tag"] = tag
if vpc_id is None and not opts.urn:
raise TypeError("Missing required property 'vpc_id'")
__props__.__dict__["vpc_id"] = vpc_id
__props__.__dict__["create_time"] = None
__props__.__dict__["expire_time"] = None
super(VPNGateway, __self__).__init__(
'ucloud:ipsecvpn/vPNGateway:VPNGateway',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
charge_type: Optional[pulumi.Input[str]] = None,
create_time: Optional[pulumi.Input[str]] = None,
duration: Optional[pulumi.Input[int]] = None,
eip_id: Optional[pulumi.Input[str]] = None,
expire_time: Optional[pulumi.Input[str]] = None,
grade: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
remark: Optional[pulumi.Input[str]] = None,
tag: Optional[pulumi.Input[str]] = None,
vpc_id: Optional[pulumi.Input[str]] = None) -> 'VPNGateway':
"""
Get an existing VPNGateway 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] charge_type: The charge type of VPN Gateway, possible values are: `year`, `month` and `dynamic` as pay by hour (specific permission required). (Default: `month`).
:param pulumi.Input[str] create_time: The creation time for VPN Gateway, formatted in RFC3339 time string.
:param pulumi.Input[int] duration: The duration that you will buy the VPN Gateway (Default: `1`). The value is `0` when pay by month and the instance will be valid till the last day of that month. It is not required when `dynamic` (pay by hour).
:param pulumi.Input[str] eip_id: The ID of eip associate to the VPN Gateway.
:param pulumi.Input[str] expire_time: The expiration time for VPN Gateway, formatted in RFC3339 time string.
:param pulumi.Input[str] grade: The type of the VPN Gateway. Possible values: `standard`, `enhanced`. `standard` recommended application scenario: Applicable to services with bidirectional peak bandwidth of 1M~50M; `enhanced` recommended application scenario: Suitable for services with bidirectional peak bandwidths of 50M~100M.
:param pulumi.Input[str] remark: The remarks of the VPN Gateway. (Default: `""`).
:param pulumi.Input[str] tag: A tag assigned to VPN Gateway, which contains at most 63 characters and only support Chinese, English, numbers, '-', '_', and '.'. If it is not filled in or a empty string is filled in, then default tag will be assigned. (Default: `Default`).
* ``
:param pulumi.Input[str] vpc_id: The ID of VPC linked to the VPN Gateway.
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _VPNGatewayState.__new__(_VPNGatewayState)
__props__.__dict__["charge_type"] = charge_type
__props__.__dict__["create_time"] = create_time
__props__.__dict__["duration"] = duration
__props__.__dict__["eip_id"] = eip_id
__props__.__dict__["expire_time"] = expire_time
__props__.__dict__["grade"] = grade
__props__.__dict__["name"] = name
__props__.__dict__["remark"] = remark
__props__.__dict__["tag"] = tag
__props__.__dict__["vpc_id"] = vpc_id
return VPNGateway(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter(name="chargeType")
def charge_type(self) -> pulumi.Output[str]:
"""
The charge type of VPN Gateway, possible values are: `year`, `month` and `dynamic` as pay by hour (specific permission required). (Default: `month`).
"""
return pulumi.get(self, "charge_type")
@property
@pulumi.getter(name="createTime")
def create_time(self) -> pulumi.Output[str]:
"""
The creation time for VPN Gateway, formatted in RFC3339 time string.
"""
return pulumi.get(self, "create_time")
@property
@pulumi.getter
def duration(self) -> pulumi.Output[Optional[int]]:
"""
The duration that you will buy the VPN Gateway (Default: `1`). The value is `0` when pay by month and the instance will be valid till the last day of that month. It is not required when `dynamic` (pay by hour).
"""
return pulumi.get(self, "duration")
@property
@pulumi.getter(name="eipId")
def eip_id(self) -> pulumi.Output[str]:
"""
The ID of eip associate to the VPN Gateway.
"""
return pulumi.get(self, "eip_id")
@property
@pulumi.getter(name="expireTime")
def expire_time(self) -> pulumi.Output[str]:
"""
The expiration time for VPN Gateway, formatted in RFC3339 time string.
"""
return pulumi.get(self, "expire_time")
@property
@pulumi.getter
def grade(self) -> pulumi.Output[str]:
"""
The type of the VPN Gateway. Possible values: `standard`, `enhanced`. `standard` recommended application scenario: Applicable to services with bidirectional peak bandwidth of 1M~50M; `enhanced` recommended application scenario: Suitable for services with bidirectional peak bandwidths of 50M~100M.
"""
return pulumi.get(self, "grade")
@property
@pulumi.getter
def name(self) -> pulumi.Output[str]:
return pulumi.get(self, "name")
@property
@pulumi.getter
def remark(self) -> pulumi.Output[str]:
"""
The remarks of the VPN Gateway. (Default: `""`).
"""
return pulumi.get(self, "remark")
@property
@pulumi.getter
def tag(self) -> pulumi.Output[Optional[str]]:
"""
A tag assigned to VPN Gateway, which contains at most 63 characters and only support Chinese, English, numbers, '-', '_', and '.'. If it is not filled in or a empty string is filled in, then default tag will be assigned. (Default: `Default`).
* ``
"""
return pulumi.get(self, "tag")
@property
@pulumi.getter(name="vpcId")
def vpc_id(self) -> pulumi.Output[str]:
"""
The ID of VPC linked to the VPN Gateway.
"""
return pulumi.get(self, "vpc_id")
| 45.302721 | 337 | 0.628501 | 3,362 | 26,638 | 4.820048 | 0.067519 | 0.078741 | 0.087257 | 0.084172 | 0.888368 | 0.868683 | 0.848504 | 0.825671 | 0.817093 | 0.798149 | 0 | 0.007664 | 0.26038 | 26,638 | 587 | 338 | 45.379898 | 0.814841 | 0.419776 | 0 | 0.717791 | 1 | 0 | 0.07152 | 0.002641 | 0 | 0 | 0 | 0 | 0 | 1 | 0.162577 | false | 0.003067 | 0.015337 | 0.009202 | 0.276074 | 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 |
451c2c024d3bd862d2f07b87f081feaf91b47575 | 122 | py | Python | src/GridCal/Engine/Simulations/NK/__init__.py | vineetjnair9/GridCal | 5b63cbae45cbe176b015e5e99164a593f450fe71 | [
"BSD-3-Clause"
] | null | null | null | src/GridCal/Engine/Simulations/NK/__init__.py | vineetjnair9/GridCal | 5b63cbae45cbe176b015e5e99164a593f450fe71 | [
"BSD-3-Clause"
] | null | null | null | src/GridCal/Engine/Simulations/NK/__init__.py | vineetjnair9/GridCal | 5b63cbae45cbe176b015e5e99164a593f450fe71 | [
"BSD-3-Clause"
] | null | null | null | from GridCal.Engine.Simulations.NK.n_minus_k_driver import *
from GridCal.Engine.Simulations.NK.n_minus_k_results import * | 61 | 61 | 0.860656 | 20 | 122 | 4.95 | 0.55 | 0.222222 | 0.343434 | 0.565657 | 0.747475 | 0.747475 | 0.747475 | 0.747475 | 0 | 0 | 0 | 0 | 0.057377 | 122 | 2 | 61 | 61 | 0.86087 | 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 | 1 | 1 | 1 | 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 | 11 |
188e4c1516242c822156747166928a6799f44ec0 | 7,183 | py | Python | server/routes.py | VIVelev/WorldCup-Prediction | c26f72d07700e6122ade708b456a2bcf7cea83e3 | [
"MIT"
] | 6 | 2018-06-03T18:51:47.000Z | 2019-12-14T03:55:37.000Z | server/routes.py | VIVelev/WorldCup-Prediction | c26f72d07700e6122ade708b456a2bcf7cea83e3 | [
"MIT"
] | null | null | null | server/routes.py | VIVelev/WorldCup-Prediction | c26f72d07700e6122ade708b456a2bcf7cea83e3 | [
"MIT"
] | 10 | 2018-06-04T12:20:00.000Z | 2021-05-02T19:16:49.000Z | import pickle
import datetime
from flask import render_template, request
from app import app
from constants import country_codes
from scraping import Match, get_next_day_matches
import json
with open("matches.b", "rb") as f:
matches = pickle.load(f)
results = json.load(open("results.json", "r"))
@app.route('/', methods=["GET", "POST"])
def index():
colors = []
final_matches = []
dates = []
if request.method == "GET":
for match in matches:
if match.date >= datetime.date.today():
if match.date.strftime("%d.%m.%Y") not in dates:
dates.append(match.date.strftime("%d.%m.%Y"))
if match.prob_home > match.prob_away and match.prob_home > match.prob_draw:
colors.append(["green", "red", "red"])
elif match.prob_draw > match.prob_away and match.prob_draw > match.prob_home:
colors.append(["red", "green", "red"])
elif match.prob_away > match.prob_home and match.prob_away > match.prob_draw:
colors.append(["red", "red", "green"])
else:
colors.append(["red", "red", "red"])
final_matches.append(match)
return render_template(
"index.html",
matches=final_matches,
enumerate=enumerate,
country_codes=country_codes,
colors=colors,
dates=dates
)
else:
want_date = request.form["dates"]
if want_date != "":
want_date = want_date.split(".")
get_date = datetime.date(2018, int(want_date[1]), int(want_date[0]))
else:
if datetime.date.today() > datetime.date(2018, 6, 14):
get_date = datetime.date.today()
else:
get_date = datetime.date(2018, 6, 14)
for match in matches:
if match.date >= datetime.date.today():
if match.date.strftime("%d.%m.%Y") not in dates:
dates.append(match.date.strftime("%d.%m.%Y"))
if match.date == get_date:
if match.prob_home > match.prob_away and match.prob_home > match.prob_draw:
colors.append(["green", "red", "red"])
elif match.prob_draw > match.prob_away and match.prob_draw > match.prob_home:
colors.append(["red", "green", "red"])
elif match.prob_away > match.prob_home and match.prob_away > match.prob_draw:
colors.append(["red", "red", "green"])
else:
colors.append(["red", "red", "red"])
final_matches.append(match)
return render_template(
"index.html",
matches=final_matches,
enumerate=enumerate,
country_codes=country_codes,
colors=colors,
dates=dates
)
@app.route('/en', methods=["GET", "POST"])
def index_en():
colors = []
final_matches = []
dates = []
if request.method == "GET":
for match in matches:
if match.date >= datetime.date.today():
if match.date.strftime("%d.%m.%Y") not in dates:
dates.append(match.date.strftime("%d.%m.%Y"))
if match.prob_home > match.prob_away and match.prob_home > match.prob_draw:
colors.append(["green", "red", "red"])
elif match.prob_draw > match.prob_away and match.prob_draw > match.prob_home:
colors.append(["red", "green", "red"])
elif match.prob_away > match.prob_home and match.prob_away > match.prob_draw:
colors.append(["red", "red", "green"])
else:
colors.append(["red", "red", "red"])
final_matches.append(match)
return render_template(
"index_en.html",
matches=final_matches,
enumerate=enumerate,
country_codes=country_codes,
colors=colors,
dates=dates
)
else:
want_date = request.form["dates"]
if want_date != "":
want_date = want_date.split(".")
get_date = datetime.date(2018, int(want_date[1]), int(want_date[0]))
else:
if datetime.date.today() > datetime.date(2018, 6, 14):
get_date = datetime.date.today()
else:
get_date = datetime.date(2018, 6, 14)
for match in matches:
if match.date >= datetime.date.today():
if match.date.strftime("%d.%m.%Y") not in dates:
dates.append(match.date.strftime("%d.%m.%Y"))
if match.date == get_date:
if match.prob_home > match.prob_away and match.prob_home > match.prob_draw:
colors.append(["green", "red", "red"])
elif match.prob_draw > match.prob_away and match.prob_draw > match.prob_home:
colors.append(["red", "green", "red"])
elif match.prob_away > match.prob_home and match.prob_away > match.prob_draw:
colors.append(["red", "red", "green"])
else:
colors.append(["red", "red", "red"])
final_matches.append(match)
return render_template(
"index_en.html",
matches=final_matches,
enumerate=enumerate,
country_codes=country_codes,
colors=colors,
dates=dates
)
@app.route('/past')
def past():
colors = []
final_matches = []
dates = []
for match in matches:
if match.date < datetime.date.today():
if match.date.strftime("%d.%m.%Y") not in dates:
dates.append(match.date.strftime("%d.%m.%Y"))
if match.prob_home > match.prob_away and match.prob_home > match.prob_draw:
colors.append(["green", "red", "red"])
elif match.prob_draw > match.prob_away and match.prob_draw > match.prob_home:
colors.append(["red", "green", "red"])
elif match.prob_away > match.prob_home and match.prob_away > match.prob_draw:
colors.append(["red", "red", "green"])
else:
colors.append(["red", "red", "red"])
final_matches.append(match)
return render_template(
"past_matches.html",
matches=final_matches,
enumerate=enumerate,
country_codes=country_codes,
colors=colors,
dates=dates,
results=results
)
@app.route('/information')
def information():
return render_template('information.html')
@app.route('/information_en')
def information_en():
return render_template('information_en.html')
@app.route('/matches')
def matches_render():
return render_template('matches.html')
@app.route('/matches_en')
def matches_en():
return render_template('matches_en.html')
| 32.949541 | 98 | 0.533899 | 815 | 7,183 | 4.548466 | 0.088344 | 0.14567 | 0.070138 | 0.048557 | 0.847316 | 0.835446 | 0.835446 | 0.835446 | 0.835446 | 0.835446 | 0 | 0.008391 | 0.33635 | 7,183 | 217 | 99 | 33.101382 | 0.769247 | 0 | 0 | 0.778443 | 0 | 0 | 0.073228 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041916 | false | 0 | 0.041916 | 0.023952 | 0.137725 | 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 |
189b0d773bfe54a4cd65aadeb1bf5b7308e35da0 | 7,942 | py | Python | home/hairygael/GESTURES/gestureforlondon3.py | rv8flyboy/pyrobotlab | 4e04fb751614a5cb6044ea15dcfcf885db8be65a | [
"Apache-2.0"
] | 63 | 2015-02-03T18:49:43.000Z | 2022-03-29T03:52:24.000Z | home/hairygael/GESTURES/gestureforlondon3.py | rv8flyboy/pyrobotlab | 4e04fb751614a5cb6044ea15dcfcf885db8be65a | [
"Apache-2.0"
] | 16 | 2016-01-26T19:13:29.000Z | 2018-11-25T21:20:51.000Z | home/hairygael/GESTURES/gestureforlondon3.py | rv8flyboy/pyrobotlab | 4e04fb751614a5cb6044ea15dcfcf885db8be65a | [
"Apache-2.0"
] | 151 | 2015-01-03T18:55:54.000Z | 2022-03-04T07:04:23.000Z | def gestureforlondon3():
#welcome
i01.setHandSpeed("left", 0.60, 0.60, 0.60, 0.60, 0.60, 0.60)
i01.setHandSpeed("right", 0.60, 0.80, 0.60, 0.60, 0.60, 0.60)
i01.setArmSpeed("left", 0.60, 0.60, 0.60, 0.60)
i01.setArmSpeed("right", 0.60, 0.60, 0.60, 0.60)
i01.setHeadSpeed(0.90, 0.90)
i01.moveHead(0,90,90,50,65)
i01.moveArm("left",26,105,30,25)
i01.moveArm("right",37,124,30,27)
i01.moveHand("left",2,2,2,2,2,90)
i01.moveHand("right",2,2,2,2,2,90)
sleep(5)
#welcome close hand
i01.setHandSpeed("left", 0.95, 0.95, 0.95, 0.95, 0.95, 1.0)
i01.setHandSpeed("right", 0.95, 0.95, 0.95, 0.95, 0.95, 1.0)
i01.setArmSpeed("left", 0.60, 0.60, 0.60, 0.60)
i01.setArmSpeed("right", 0.60, 0.60, 0.60, 0.60)
i01.setHeadSpeed(0.90, 0.90)
i01.moveHead(0,40,25,40,65)
i01.moveArm("left",26,105,30,25)
i01.moveArm("right",37,124,30,27)
i01.moveHand("left",180,180,180,180,180,90)
i01.moveHand("right",180,180,180,180,180,90)
sleep(3)
#put hands up
i01.setHandSpeed("left", 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
i01.setHandSpeed("right", 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
i01.setArmSpeed("left", 1.0, 1.0, 1.0, 1.0)
i01.setArmSpeed("right", 1.0, 1.0, 1.0, 1.0)
i01.setHeadSpeed(0.9, 0.9)
i01.setTorsoSpeed(1.0, 1.0, 1.0)
i01.moveHead(50,120,90,90,65)
i01.moveArm("left",88,103,70,23)
i01.moveArm("right",73,97,70,27)
i01.moveHand("left",2,2,2,2,2,90)
i01.moveHand("right",2,2,2,2,2,90)
i01.moveTorso(90,90,90)
sleep(2)
#look hand right
i01.setHandSpeed("left", 0.85, 0.85, 0.85, 0.85, 0.85, 1.0)
i01.setHandSpeed("right", 0.85, 0.85, 0.85, 0.85, 0.85, 1.0)
i01.setArmSpeed("left", 1.0, 1.0, 1.0, 1.0)
i01.setArmSpeed("right", 1.0, 1.0, 1.0, 1.0)
i01.setHeadSpeed(0.9, 0.8)
i01.setTorsoSpeed(1.0, 1.0, 1.0)
i01.moveHead(50,60,70,90,65)
i01.moveArm("left",88,104,75,28)
i01.moveArm("right",80,97,76,21)
i01.moveHand("left",180,180,180,180,180,90)
i01.moveHand("right",180,180,180,180,180,90)
i01.moveTorso(90,90,90)
sleep(1)
#look stay
i01.setHandSpeed("left", 0.95, 0.95, 0.95, 0.95, 0.95, 1.0)
i01.setHandSpeed("right", 0.95, 0.95, 0.95, 0.95, 0.95, 1.0)
i01.setArmSpeed("left", 1.0, 1.0, 1.0, 1.0)
i01.setArmSpeed("right", 1.0, 1.0, 1.0, 1.0)
i01.setHeadSpeed(0.9, 0.8)
i01.setTorsoSpeed(1.0, 1.0, 1.0)
i01.moveHead(40,70,90,90,65)
i01.moveArm("left",90,102,70,23)
i01.moveArm("right",80,97,68,27)
i01.moveHand("left",2,2,2,2,2,90)
i01.moveHand("right",2,2,2,2,2,90)
i01.moveTorso(90,90,90)
sleep(2)
#look left side turn both wrist
i01.moveHead(50,120,140,90,65)
i01.moveArm("left",88,103,70,28)
i01.moveArm("right",75,97,76,21)
i01.moveHand("left",180,180,180,180,180,10)
i01.moveHand("right",180,180,180,180,180,170)
i01.moveTorso(90,90,90)
sleep(2)
#close hands and turn both wrist
i01.moveHead(50,50,60,90,65)
i01.moveArm("left",88,103,75,28)
i01.moveArm("right",80,97,76,21)
i01.moveHand("left",180,180,180,180,180,170)
i01.moveHand("right",180,180,180,180,180,10)
i01.moveTorso(90,90,90)
sleep(3)
#dab left
i01.setHandSpeed("left", 0.9, 0.9, 0.9, 0.9, 0.9, 1.0)
i01.setHandSpeed("right", 0.85, 0.85, 0.85, 0.85, 0.85, 1.0)
i01.setArmSpeed("left", 1.0, 1.0, 1.0, 1.0)
i01.setArmSpeed("right", 1.0, 1.0, 1.0, 1.0)
i01.setHeadSpeed(0.9, 0.9)
i01.setTorsoSpeed(1.0, 1.0, 1.0)
i01.moveHead(79,160,120,90,65)
i01.moveArm("left",5,84,32,78)
i01.moveArm("right",87,82,123,74)
i01.moveHand("left",0,0,0,0,0,25)
i01.moveHand("right",0,0,0,0,0,113)
i01.moveTorso(90,90,90)
sleep(6)
#regroup right arm
i01.setHandSpeed("left", 0.85, 0.85, 0.85, 0.85, 0.85, 1.0)
i01.setHandSpeed("right", 0.85, 0.85, 0.85, 0.85, 0.85, 1.0)
i01.setArmSpeed("left", 1.0, 1.0, 1.0, 1.0)
i01.setArmSpeed("right", 1.0, 1.0, 1.0, 1.0)
i01.setHeadSpeed(0.8, 0.8)
i01.setTorsoSpeed(1.0, 1.0, 1.0)
i01.moveHead(79,100,120,90,65)
i01.moveArm("left",18,90,55,71)
i01.moveArm("right",65,82,118,15)
i01.moveHand("left",92,33,37,71,66,25)
i01.moveHand("right",81,66,82,60,105,113)
i01.moveTorso(90,90,90)
sleep(1)
#look right
i01.setHandSpeed("left", 0.85, 0.85, 0.85, 0.85, 0.85, 1.0)
i01.setHandSpeed("right", 0.85, 0.85, 0.85, 0.85, 0.85, 1.0)
i01.setArmSpeed("left", 0.9, 0.9, 0.9, 0.9)
i01.setArmSpeed("right", 0.9, 0.9, 0.9, 0.9)
i01.setHeadSpeed(0.8, 0.8)
i01.setTorsoSpeed(1.0, 1.0, 1.0)
i01.moveHead(60,50,70,90,65)
i01.moveArm("left",18,90,54,69)
i01.moveArm("right",65,82,118,13)
i01.moveHand("left",92,33,37,71,66,25)
i01.moveHand("right",180,180,180,180,180,113)
i01.moveTorso(90,90,90)
sleep(2)
i01.moveHead(79,100)
i01.moveArm("left",33,90,136,78)
i01.moveArm("right",34,82,160,13)
i01.moveHand("left",92,33,37,71,66,25)
i01.moveHand("right",180,180,180,180,180,113)
i01.moveTorso(90,90,90)
sleep(2)
#arm right up
i01.moveHead(100,100)
i01.moveArm("left",33,90,136,78)
i01.moveArm("right",34,82,160,20)
i01.moveHand("left",92,33,37,71,66,25)
i01.moveHand("right",92,33,37,71,66,113)
i01.moveTorso(90,90,90)
sleep(3)
i01.moveHead(110,120)
i01.moveArm("left",33,140,136,78)
i01.moveArm("right",34,82,170,30)
i01.moveHand("left",92,33,37,71,66,25)
i01.moveHand("right",92,33,37,71,66,113)
i01.moveTorso(90,90,90)
sleep(2)
i01.moveHead(125,140)
i01.moveArm("left",33,90,36,60)
i01.moveArm("right",34,80,170,40)
i01.moveHand("left",92,33,37,71,66,25)
i01.moveHand("right",92,33,37,71,66,113)
i01.moveTorso(90,90,90)
sleep(2)
#arm left up
i01.moveHead(120,130,120,30,65)
i01.moveArm("left",33,90,36,60)
i01.moveArm("right",34,65,160,40)
i01.moveHand("left",92,33,37,71,66,25)
i01.moveHand("right",92,33,37,71,66,113)
i01.moveTorso(90,90,90)
sleep(2)
i01.moveHead(79,100,90,90,65)
i01.moveArm("left",18,84,54,69)
i01.moveArm("right",65,78,118,13)
i01.moveHand("left",92,33,37,71,66,30)
i01.moveHand("right",180,180,180,180,180,113)
i01.moveTorso(90,90,90)
sleep(1)
i01.moveHead(79,100)
i01.moveArm("left",18,90,55,71)
i01.moveArm("right",75,80,120,45)
i01.moveHand("left",92,33,37,71,66,25)
i01.moveHand("right",81,66,82,60,105,113)
i01.moveTorso(90,90,90)
sleep(1)
i01.setHandSpeed("left", 0.85, 0.85, 0.85, 0.85, 0.85, 1.0)
i01.setHandSpeed("right", 0.85, 0.85, 0.85, 0.85, 0.85, 1.0)
i01.setArmSpeed("left", 1.0, 1.0, 1.0, 1.0)
i01.setArmSpeed("right", 1.0, 1.0, 1.0, 0.85)
i01.setHeadSpeed(0.9, 0.9)
i01.setTorsoSpeed(1.0, 1.0, 1.0)
i01.moveHead(79,160)
i01.moveArm("left",24,90,32,74)
i01.moveArm("right",87,82,123,74)
i01.moveHand("left",0,0,0,0,0,25)
i01.moveHand("right",0,0,0,0,0,113)
i01.moveTorso(90,90,90)
sleep(3)
#dab right
i01.moveHead(60,20)
i01.moveArm("left",87,90,123,74)
i01.moveArm("right",5,84,32,78)
i01.moveHand("left",92,33,37,71,66,25)
i01.moveHand("right",81,66,82,60,105,113)
i01.moveTorso(90,90,90)
sleep(6)
#welcome
i01.setHandSpeed("left", 0.80, 0.80, 0.80, 0.80, 0.80, 0.80)
i01.setHandSpeed("right", 0.80, 0.80, 0.80, 0.80, 0.80, 0.80)
i01.setArmSpeed("left", 0.80, 0.80, 0.80, 0.80)
i01.setArmSpeed("right", 0.80, 0.80, 0.80, 0.80)
i01.setHeadSpeed(0.90, 0.90)
i01.moveHead(0,90,90,50,65)
i01.moveArm("left",15,105,30,25)
i01.moveArm("right",25,124,30,27)
i01.moveHand("left",2,2,2,2,2,90)
i01.moveHand("right",2,2,2,2,2,90)
sleep(5) | 38 | 66 | 0.588265 | 1,562 | 7,942 | 2.991037 | 0.065941 | 0.04024 | 0.037885 | 0.050514 | 0.901113 | 0.877568 | 0.831122 | 0.805437 | 0.766909 | 0.748288 | 0 | 0.323306 | 0.187988 | 7,942 | 209 | 67 | 38 | 0.401147 | 0.02896 | 0 | 0.692308 | 0 | 0 | 0.072125 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.005128 | true | 0 | 0 | 0 | 0.005128 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 9 |
18eb6765033ea96088aefab5b4a87b5806bc7799 | 681,727 | py | Python | snapshot_array.py | valentinarodrigues/daily-problem-solver | 38d92eaf2a2aee77b337b6a71edbf5f4691a1b17 | [
"Unlicense"
] | null | null | null | snapshot_array.py | valentinarodrigues/daily-problem-solver | 38d92eaf2a2aee77b337b6a71edbf5f4691a1b17 | [
"Unlicense"
] | null | null | null | snapshot_array.py | valentinarodrigues/daily-problem-solver | 38d92eaf2a2aee77b337b6a71edbf5f4691a1b17 | [
"Unlicense"
] | null | null | null | from collections import defaultdict
# class SnapshotArray:
# def __init__(self, length: int):
# # SnapshotArray(int length) initializes an array-like data structure with the given length. Initially, each element equals 0.
# self.snapshot = {}
# self.snap_id = -1
# self.snapArray = [0] * length
# def set(self, index: int, val: int) -> None:
# # void set(index, val) sets the element at the given index to be equal to val.
# if(index<=len(self.snapArray)):
# self.snapArray[index] = val
# def snap(self) -> int:
# # int snap() takes a snapshot of the array and returns the snap_id: the total number of times we called snap() minus 1.
# self.snap_id+=1
# self.snapshot[self.snap_id] = self.snapArray[:]
# return self.snap_id
# def get(self, index: int, snap_id: int) -> int:
# # int get(index, snap_id) returns the value at the given index, at the time we took the snapshot with the given snap_id
# if(snap_id in self.snapshot):
# return self.snapshot[snap_id][index]
# result = []
# # commands = ["SnapshotArray","set","set","set","snap","get","snap"]
# # values = [[1],[0,4],[0,16],[0,13],[],[0,0],[]]
# commands = 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# for c,v in zip(commands, values):
# if(c == "SnapshotArray"):
# # initialize array
# length = v[0]
# obj = SnapshotArray(length)
# result.append(None)
# elif(c == "set"):
# # set
# index = v[0]
# val = v[1]
# result.append(obj.set(index,val))
# elif(c == "snap"):
# result.append(obj.snap())
# elif(c == "get"):
# index = v[0]
# snap_id = v[1]
# result.append(obj.get(index,snap_id))
# print(result)
# # Your SnapshotArray object will be instantiated and called as such:
# # obj = SnapshotArray(length)
# # obj.set(index,val)
# # param_2 = obj.snap()
# # param_3 = obj.get(index,snap_id)
# Implement a SnapshotArray that supports the following interface:
# SnapshotArray(int length) initializes an array-like data structure with the given length. Initially, each element equals 0.
# void set(index, val) sets the element at the given index to be equal to val.
# int snap() takes a snapshot of the array and returns the snap_id: the total number of times we called snap() minus 1.
# int get(index, snap_id) returns the value at the given index, at the time we took the snapshot with the given snap_id
# s
# import bisect
# class SnapshotArray(object):
# def __init__(self, n):
# self.mapping = defaultdict(list)
# self.snap_count = 0
# def set(self, index, val):
# self.mapping[index].append([self.snap_count, val])
# def snap(self):
# self.snap_count+=1
# return self.snap_count-1
# def get(self, index, snap_id):
# arr = self.mapping[index]
# left, right, ans = 0, len(arr)-1, -1
# while(left<=right):
# mid = (left+right)//2
# if(arr[mid][0] <= snap_id):
# left = mid+1
# ans = mid
# else:
# right = mid-1
# if(ans == -1):
# return 0
# return arr[ans][1]
from collections import defaultdict
class SnapshotArray:
def __init__(self, length: int):
# SnapshotArray(int length) initializes an array-like data structure with the given length. Initially, each element equals 0.
self.map = defaultdict(list)
self.snapId = 0
def set(self, index: int, val: int) -> None:
# void set(index, val) sets the element at the given index to be equal to val.
self.map[index].append([self.snapId, val])
def snap(self) -> int:
# int snap() takes a snapshot of the array and returns the snapId: the total number of times we called snap() minus 1.
self.snapId+=1
return self.snapId - 1
def get(self, index: int, snapId: int) -> int:
# int get(index, snapId) returns the value at the given index, at the time we took the snapshot with the given snapId
searchList = self.map[index]
left, right, ans = 0, len(searchList)-1, -1
while(left<=right):
mid = (left+right)//2
if(searchList[mid][0] <= snapId):
ans = mid
left = mid + 1
else:
right = mid-1
if(ans == -1): return 0
return searchList[ans][1]
result = []
# commands = ["SnapshotArray","set","set","set","snap","get","snap"]
# values = [[5],[0,4],[0,16],[0,13],[],[0,0],[]]
commands = ["SnapshotArray","snap","snap","get","set","snap","set"]
values = [[4],[],[],[3,1],[2,4],[],[1,4]]
for c,v in zip(commands, values):
if(c == "SnapshotArray"):
# initialize array
length = v[0]
obj = SnapshotArray(length)
result.append(None)
elif(c == "set"):
# set
index = v[0]
val = v[1]
result.append(obj.set(index,val))
elif(c == "snap"):
result.append(obj.snap())
elif(c == "get"):
index = v[0]
snap_id = v[1]
result.append(obj.get(index,snap_id))
print(result) | 4,701.565517 | 359,862 | 0.507822 | 117,386 | 681,727 | 2.948887 | 0.172457 | 0.33708 | 0.481514 | 0.674039 | 0.487861 | 0.487393 | 0.487272 | 0.487272 | 0.487272 | 0.487272 | 0 | 0.259598 | 0.002134 | 681,727 | 145 | 359,863 | 4,701.565517 | 0.249255 | 0.997644 | 0 | 0.095238 | 0 | 0 | 0.037773 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.095238 | false | 0 | 0.047619 | 0 | 0.214286 | 0.02381 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
e1371d3086781ae186a4261a2e05e62e92a2b81d | 4,478 | py | Python | web_scrapper/db.py | simonirang1992/jsong-investment | 563c1fa217eba70333d487cde7424f63468ebf6c | [
"Apache-2.0"
] | null | null | null | web_scrapper/db.py | simonirang1992/jsong-investment | 563c1fa217eba70333d487cde7424f63468ebf6c | [
"Apache-2.0"
] | null | null | null | web_scrapper/db.py | simonirang1992/jsong-investment | 563c1fa217eba70333d487cde7424f63468ebf6c | [
"Apache-2.0"
] | null | null | null | from pymysql import connect, err, sys, cursors, MySQLError
from logger import writelog
from config import getconf
import sys
from pymysql import connect, err, sys, cursors, MySQLError
from config import getconf
import sys
from decimal import *
def dictreturn(query):
getcontext().prec = 6
dict={}
try:
cn = getconf('db')
if not cn:
writelog('[CRITICAL] Unable to Read Database Configuration File!', 'selectdb', 'query')
sys.exit('Database Configuration Not Found --- Exiting...')
conn = connect( host = cn[0], port = int(cn[1]), user= cn[2], passwd = cn[3], db = cn[4])
cursor = conn.cursor()
cursor.execute(query)
desc = cursor.description
nlist = len(desc)
colname = []
table = []
for col in desc:
table.append([])
dict = {}
data = cursor.fetchall()
for value in data:
for i in range(0,nlist):
try:
val = Decimal(value[i])
except:
val = value[i]
table[i].append(val)
c = 0
for col in desc:
dict[col[0]] = table[c]
c = c + 1
except MySQLError as e:
p = []
p.append(query)
print (p)
cursor.close()
conn.close()
sys.exit('MySQL Exception Found --- Exiting...')
except Warning as e:
p = []
p.append(query)
errmsg = '[CRITICAL] MYSQL Warning Detected' + str(e)
pass
cursor.close()
conn.close()
return dict
def selectdb(query):
out=[]
try:
cn = getconf('db')
if not cn:
writelog('[CRITICAL] Unable to Read Database Configuration File!', 'selectdb', 'query')
sys.exit('Database Configuration Not Found --- Exiting...')
conn = connect( host = cn[0], port = int(cn[1]), user= cn[2], passwd = cn[3], db = cn[4])
cursor = conn.cursor()
cursor.execute(query)
for ele in cursor.fetchall():
out.append(ele)
except MySQLError as e:
p = []
p.append(query)
print (p)
errmsg = '[CRITICAL] MYSQL Error Detected' + str(e)
writelog(errmsg, 'dbquery', p)
cursor.close()
conn.close()
sys.exit('MySQL Exception Found --- Exiting...')
except Warning as e:
p = []
p.append(query)
errmsg = '[CRITICAL] MYSQL Warning Detected' + str(e)
writelog(errmsg, 'dbquery', p)
pass
cursor.close()
conn.close()
return out
def dbquery(query):
try:
cn = getconf('db')
if not cn:
writelog('[CRITICAL] Unable to Read Database Configuration File!', 'dbquery', 'query')
sys.exit('Database Configuration Not Found --- Exiting...')
conn = connect( host = cn[0], port = int(cn[1]), user= cn[2], passwd = cn[3], db = cn[4])
cursor = conn.cursor()
cursor.execute(query)
conn.commit()
except MySQLError as e:
p = []
p.append(query)
print (p)
errmsg = '[CRITICAL] MYSQL Error Detected' + str(e)
writelog(errmsg, 'dbquery', p)
cursor.close()
conn.close()
sys.exit('MySQL Exception Found --- Exiting...')
except Warning as e:
p = []
p.append(query)
errmsg = '[CRITICAL] MYSQL Warning Detected' + str(e)
writelog(errmsg, 'dbquery', p)
pass
cursor.close()
conn.close()
def dberase(query):
cn = getconf('db')
if not cn:
writelog('Unable to Read Database Configuration File!', 'dbquery', 'query')
sys.exit('Database Configuration Not Found --- Exiting...')
conn = connect( host = cn[0], port = int(cn[1]), user= cn[2], passwd = cn[3], db = cn[4])
cursor = conn.cursor()
cursor.execute(query)
conn.commit()
cursor.close()
conn.close()
#selectdb("SELECT tick FROM ticklist")
| 33.17037 | 111 | 0.481018 | 472 | 4,478 | 4.563559 | 0.188559 | 0.077994 | 0.048747 | 0.064995 | 0.809192 | 0.809192 | 0.792479 | 0.750696 | 0.750696 | 0.703343 | 0 | 0.009294 | 0.399285 | 4,478 | 134 | 112 | 33.41791 | 0.79145 | 0.008263 | 0 | 0.760331 | 0 | 0 | 0.168468 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033058 | false | 0.057851 | 0.066116 | 0 | 0.115702 | 0.024793 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 8 |
e14e23d6b1e30f8f1b2ec8b68fe95e4a97294873 | 40,939 | py | Python | hyper_resource/test_requests.py | IDEHCO3/kanban-backend | 902732f0fd569627925356d6b9d68a5ec7680b88 | [
"MIT"
] | null | null | null | hyper_resource/test_requests.py | IDEHCO3/kanban-backend | 902732f0fd569627925356d6b9d68a5ec7680b88 | [
"MIT"
] | null | null | null | hyper_resource/test_requests.py | IDEHCO3/kanban-backend | 902732f0fd569627925356d6b9d68a5ec7680b88 | [
"MIT"
] | null | null | null | import requests, os, sys
#se'rvidor = ''
#servidor = 'http://LUC00557347.ibge.gov.br/'
SERVER = 'http://LUC00557196:8000/'
#SERVER = "http://172.30.11.72:8000/"
class RequestTest():
def __init__(self, uri, expec_status_code, method='GET', default_server=SERVER):
self.method = method
self.uri = default_server + uri
self.expec_status_code = expec_status_code
arr_get_for_non_spatial_resource = [
RequestTest("controle-list/usuario-list/1/", 200),
RequestTest("controle-list/usuario-list/1/nome,email", 200),
RequestTest("controle-list/usuario-list/1/projection/nome,email", 200),
]
arr_get_for_collection = [
RequestTest('controle-list/gasto-list/count-resource', 200),
RequestTest('controle-list/gasto-list/offset-limit/1&10', 200),
RequestTest('controle-list/gasto-list/offset-limit/1&10/data,valor', 400),
RequestTest('controle-list/gasto-list/group-by-count/tipo_gasto', 200),
RequestTest('controle-list/gasto-list/filter/tipo_gasto/eq/3', 200),
RequestTest('api/bcim/unidades-federativas/filter/geom/within/' + SERVER + 'api/bcim/municipios/3159407/geom/*', 200),
RequestTest('api/bcim/unidades-federativas/?*contains=POINT(-42 -21)', 200),
RequestTest('api/bcim/unidades-federativas/?*contains=POINT(-42 -21)&sigla=RJ', 200),
RequestTest('api/bcim/unidades-federativas/?*contains=URL&sigla=RJ', 200),
RequestTest('api/bcim/unidades-federativas/contains/POINT(-42 -21)', 200),
RequestTest('api/bcim/aldeias-indigenas/within/POLYGON((-41.8 -21.2,-41.8 -17.8,-28.8 -17.8,-28.8 -21.,-41.8 -21.2))/', 200),
RequestTest('api/bcim/aldeias-indigenas/within/' + SERVER + 'api/bcim/unidades-federativas/ES/*', 200),
RequestTest('api/bcim/aldeias-indigenas/within/' + SERVER + 'api/bcim/unidades-federativas/PA/*', 200),
RequestTest('api/bcim/unidades-federativas/filter/sigla/in/ES&PA/', 200),
RequestTest('api/bcim/aldeias-indigenas/within/' + SERVER + 'api/bcim/unidades-federativas/ES/*or/within/' + SERVER + 'api/bcim/unidades-federativas/PA/*', 200),
RequestTest('api/bcim/aldeias-indigenas/filter/geom/within/' + SERVER + 'api/bcim/unidades-federativas/ES/*or/geom/within/' + SERVER + 'api/bcim/unidades-federativas/PA/*', 200),
RequestTest('api/bcim/aldeias-indigenas/filter/id_objeto/eq/841/*and/geom/within/' + SERVER + 'api/bcim/unidades-federativas/ES/geom/*', 200),
RequestTest('api/bcim/aldeias-indigenas/filter/id_objeto/eq/841/*and/geom/within/' + SERVER + 'api/bcim/unidades-federativas/ES/geom/*', 200),
RequestTest('api/bcim/aldeias-indigenas/filter/id_objeto/eq/841/*and/geom/within/' + SERVER + 'api/bcim/unidades-federativas/ES/geom/*', 200),
RequestTest('api/bcim/aldeias-indigenas/filter/id_objeto/eq/841/*or/geom/within/' + SERVER + 'api/bcim/unidades-federativas/ES/geom/*', 200),
RequestTest('api/bcim/aldeias-indigenas/filter/id_objeto/eq/841/*or/geom/within/' + SERVER + 'api/bcim/unidades-federativas/ES/geom/*', 200),
RequestTest('api/bcim/aldeias-indigenas/filter/id_objeto/eq/841/*or/geom/within/' + SERVER + 'api/bcim/unidades-federativas/ES/geom/*or/' + SERVER + 'api/bcim/unidades-federativas/PR/*', 200),
RequestTest('api/bcim/municipios/within/{"type":"Polygon","coordinates":[[[-48.759514611370854,-28.3426735036349],[-48.631647133384185,-28.3426735036349],[-48.631647133384185,-28.082673631081306],[-48.759514611370854,-28.082673631081306],[-48.759514611370854,-28.3426735036349]]]}', 200),
RequestTest('api/bcim/municipios/within/' + SERVER + 'api/bcim/unidades-federativas/ES/*', 200),
RequestTest('api/bcim/municipios/filter/geom/overlaps/' + SERVER + 'api/bcim/unidades-federativas/ES/*or/geom/within/' + SERVER + 'api/bcim/unidades-federativas/ES/*and/geocodigo/startswith/32/', 200),
RequestTest('api/bcim/aldeias-indigenas/within/' + SERVER + 'api/bcim/unidades-federativas/PA/', 200),
RequestTest('api/bcim/aldeias-indigenas/within/' + SERVER + 'api/bcim/unidades-federativas/PA', 200),
RequestTest('api/bcim/aldeias-indigenas/collect/nome&geom/buffer/0.5', 200),
RequestTest('api/bcim/unidades-federativas/filter/sigla/in/RJ&ES/*collect/nome&geom/buffer/0.2', 200),
RequestTest('api/bcim/aldeias-indigenas/offset-limit/0&2/nome,geom,nomeabrev/*collect/nome&geom/buffer/0.5', 400), # WRONG SINTAX (SERVER EXECUTE ONLY api/bcim/aldeias-indigenas/offset-limit/0/2/ and ignore the rest - act as offset-limit operation)
RequestTest('api/bcim/aldeias-indigenas/offset-limit/0&2/nome,geom/*collect/geom/buffer/0.5', 400), # WRONG SINTAX (SERVER EXECUTE ONLY api/bcim/aldeias-indigenas/offset-limit/0/2/ and ignore the rest - act as offset-limit operation)
]
arr_get_for_spatial_operations = [
RequestTest("api/bcim/unidades-federativas/ES/area", 200),
RequestTest("api/bcim/unidades-federativas/ES/boundary", 200),
RequestTest("api/bcim/unidades-federativas/ES/buffer/0.2", 200),
RequestTest("api/bcim/unidades-federativas/ES/centroid", 200),
RequestTest("api/bcim/unidades-federativas/ES/contains/" + SERVER + "api/bcim/aldeias-indigenas/587/", 200),
RequestTest("api/bcim/unidades-federativas/ES/convex_hull", 200),
RequestTest("api/bcim/aldeias-indigenas/587/coords", 200),
RequestTest("api/bcim/trechos-hidroviarios/59121/crosses/" + SERVER + "api/bcim/municipios/3126406", 200),
RequestTest("api/bcim/unidades-federativas/RJ/difference/" + SERVER + "api/bcim/municipios/3304300/", 200),
RequestTest("api/bcim/unidades-federativas/ES/dims", 200),
RequestTest("api/bcim/aldeias-indigenas/589/disjoint/" + SERVER + "api/bcim/unidades-federativas/RJ/", 200),
RequestTest("api/bcim/unidades-federativas/ES/distance/" + SERVER + "api/bcim/unidades-federativas/AM/", 200),
RequestTest("api/bcim/unidades-federativas/ES/empty", 200),
RequestTest("api/bcim/unidades-federativas/ES/envelope", 200),
RequestTest("api/bcim/unidades-federativas/ES/equals/" + SERVER + "api/bcim/unidades-federativas/ES/", 200),
RequestTest("api/bcim/unidades-federativas/ES/equals_exact/" + SERVER + "api/bcim/unidades-federativas/ES/", 200),
RequestTest("api/bcim/unidades-federativas/ES/ewkb", 200),
RequestTest("api/bcim/unidades-federativas/ES/ewkt", 200),
RequestTest("api/bcim/unidades-federativas/ES/extent", 200),
RequestTest("api/bcim/unidades-federativas/ES/geom_type", 200),
RequestTest("api/bcim/unidades-federativas/ES/geom_typeid", 200),
RequestTest("api/bcim/unidades-federativas/ES/hasz", 200),
RequestTest("api/bcim/unidades-federativas/ES/hex", 200),
RequestTest("api/bcim/unidades-federativas/ES/hexewkb", 200),
RequestTest("api/bcim/unidades-federativas/ES/intersection/" + SERVER + "api/bcim/unidades-federativas/RJ/envelope/", 200),
RequestTest("api/bcim/unidades-federativas/ES/intersects/" + SERVER + "api/bcim/unidades-federativas/RJ/", 200),
RequestTest("api/bcim/aldeias-indigenas/587/json", 200),
RequestTest("api/bcim/aldeias-indigenas/587/kml", 200),
RequestTest("api/bcim/trechos-hidroviarios/59121/length", 200),
RequestTest("api/bcim/unidades-federativas/ES/num_geom", 200),
RequestTest("api/bcim/municipios/3301009/overlaps/" + SERVER + "api/bcim/unidades-federativas/ES", 200),
RequestTest("api/bcim/unidades-federativas/ES/point_on_surface", 200),
RequestTest("api/bcim/unidades-federativas/ES/relate/" + SERVER + "api/bcim/unidades-federativas/GO/", 200),
RequestTest("api/bcim/unidades-federativas/ES/relate_pattern/" + SERVER + "api/bcim/unidades-federativas/GO/&FF*FF****", 200),
RequestTest("api/bcim/trechos-hidroviarios/59121/ring", 200),
RequestTest("api/bcim/unidades-federativas/ES/simple", 200),
RequestTest("api/bcim/unidades-federativas/ES/simplify/0.0&False", 200),
RequestTest("api/bcim/unidades-federativas/ES/srid", 200),
RequestTest("api/bcim/unidades-federativas/ES/srs", 200),
RequestTest("api/bcim/vegetacoes-de-restinga/2947/sym_difference/" + SERVER + "api/bcim/unidades-federativas/ES", 200),
RequestTest("api/bcim/unidades-federativas/AM/touches/" + SERVER + "api/bcim/unidades-federativas/RJ/", 200),
RequestTest("api/bcim/unidades-federativas/ES/transform/4326&false", 200),
RequestTest("api/bcim/unidades-federativas/ES/union/" + SERVER + "api/bcim/unidades-federativas/RJ", 200),
RequestTest("api/bcim/unidades-federativas/ES/valid", 200),
RequestTest("api/bcim/unidades-federativas/ES/valid_reason", 200),
RequestTest("api/bcim/aldeias-indigenas/587/within/" + SERVER + "api/bcim/unidades-federativas/ES/", 200),
RequestTest("api/bcim/unidades-federativas/ES/wkb", 200),
RequestTest("api/bcim/unidades-federativas/ES/wkt", 200),
RequestTest("api/bcim/aldeias-indigenas/589/x", 200),
RequestTest("api/bcim/aldeias-indigenas/589/y", 200),
RequestTest("api/bcim/aldeias-indigenas/589/z", 200),
RequestTest("api/bcim/trechos-hidroviarios/59121/x", 200),
RequestTest("api/bcim/trechos-hidroviarios/59121/y", 200),
RequestTest("api/bcim/trechos-hidroviarios/59121/z", 200),
]
arr_get_for_projection = [
# only attributes
RequestTest("api/bcim/unidades-federativas/nome", 200),
RequestTest("api/bcim/unidades-federativas/nome/", 200),
RequestTest("api/bcim/unidades-federativas/nome,geom", 200),
RequestTest("api/bcim/unidades-federativas/nome,geom/", 200),
RequestTest("api/bcim/unidades-federativas/projection/nome,geocodigo", 200), # attributes and projection
RequestTest("api/bcim/unidades-federativas/projection/nome,geocodigo/", 200),
# filter
RequestTest("api/bcim/unidades-federativas/filter/sigla/in/RJ&ES", 200),
RequestTest("api/bcim/unidades-federativas/projection/nome,geocodigo/filter/sigla/in/RJ&ES", 200),
# collect
RequestTest("api/bcim/unidades-federativas/collect/geom&nome/upper", 200),
RequestTest("api/bcim/unidades-federativas/projection/geom,nome/collect/geom&nome/upper", 200),
RequestTest("api/bcim/unidades-federativas/projection/sigla,geocodigo/collect/geom&nome/upper", 400), # collected attributes not in projection (must fail)
RequestTest("api/bcim/unidades-federativas/projection/sigla,geocodigo/collect/geom&sigla/lower", 400), # operated attribute in projection but lists differs (priorize projection in this case)
# count_resource
RequestTest("api/bcim/unidades-federativas/count-resource", 200),
RequestTest("api/bcim/unidades-federativas/projection/nome,geocodigo/count-resource", 200),
# filter_and_collect
RequestTest("api/bcim/unidades-federativas/filter/sigla/in/RJ&ES/*collect/geocodigo&sigla/lower", 200),
RequestTest("api/bcim/unidades-federativas/projection/geocodigo,sigla/filter/sigla/in/RJ&ES/*collect/geocodigo&sigla/lower", 200),
RequestTest("api/bcim/unidades-federativas/projection/geocodigo,sigla/filter/sigla/in/RJ&ES/*collect/sigla&geom/buffer/0.2", 400), # (must return status code 400)
# filter_and_count_resource
RequestTest("api/bcim/unidades-federativas/filter/sigla/in/RJ&ES/*count-resource", 200),
RequestTest("api/bcim/unidades-federativas/projection/nome,geocodigo/filter/sigla/in/RJ&ES/*count-resource", 200),
# offset_limit
RequestTest("api/bcim/unidades-federativas/offset-limit/0&2/", 200),
RequestTest("api/bcim/unidades-federativas/offset-limit/0&2/nome,geocodigo/", 400),
RequestTest("api/bcim/unidades-federativas/projection/geocodigo,sigla/offset-limit/0&2/", 200),
RequestTest("api/bcim/unidades-federativas/projection/geocodigo,sigla/offset-limit/0&2/sigla,geocodigo/", 400),
RequestTest("api/bcim/unidades-federativas/projection/geocodigo,sigla/offset-limit/0&2/nome,geocodigo,sigla/", 400), # WRONG SINTAX (SERVER EXECUTE ONLY api/bcim/unidades-federativas/projection/geocodigo,sigla/offset-limit/0/2/ and ignore the rest - act as offset-limit operation)
# distinct
RequestTest("controle-list/usuario-list/distinct/email", 200),
RequestTest("controle-list/usuario-list/distinct/id&nome&email", 200),
RequestTest("controle-list/usuario-list/projection/nome,email,data_nascimento/distinct/nome&email", 200),
# offset_limit_and_collect
RequestTest("api/bcim/unidades-federativas/offset-limit/5&2/collect/sigla&geom/buffer/0.8", 200),
RequestTest("api/bcim/unidades-federativas/offset-limit/5&2/geom,sigla/*collect/sigla&geom/buffer/0.8", 400),
RequestTest("api/bcim/unidades-federativas/offset-limit/5&2/sigla,geom,nome/*collect/sigla&geom/buffer/0.8", 400), # WRONG SINTAX (SERVER EXECUTE ONLY api/bcim/unidades-federativas/offset-limit/5/2/ and ignore the rest - act as offset-limit operation)
RequestTest("api/bcim/unidades-federativas/projection/sigla,geom/offset-limit/5&2/collect/sigla&geom/buffer/0.8", 200),
RequestTest("api/bcim/unidades-federativas/projection/sigla,geom/offset-limit/5&2/sigla,geocodigo/*collect/sigla&geom/buffer/0.8", 400), # projection list == collect list != offset_limit list # WRONG SINTAX (SERVER EXECUTE ONLY api/bcim/unidades-federativas/projection/sigla,geom/offset-limit/5/2/ and ignore the rest - act as offset-limit operation)
RequestTest("api/bcim/unidades-federativas/projection/sigla,geom/offset-limit/5&2/sigla,geom/*collect/nome&sigla&geom/buffer/0.8", 400), # projection list == offset_limit list != collect list # WRONG SINTAX (SERVER EXECUTE ONLY api/bcim/unidades-federativas/projection/sigla,geom/offset-limit/5/2/ and ignore the rest - act as offset-limit operation)
RequestTest("api/bcim/unidades-federativas/projection/sigla,geom/offset-limit/5&2/sigla,geom/collect/sigla&geom/buffer/0.8", 400), # projection list == offset_limit list == collect list # WRONG SINTAX (SERVER EXECUTE ONLY api/bcim/unidades-federativas/projection/sigla,geom/offset-limit/5/2/ and ignore the rest - act as offset-limit operation)
#FeatureCollection operations
RequestTest("api/bcim/aldeias-indigenas/within/" + SERVER + "api/bcim/unidades-federativas/ES/", 200),
RequestTest("api/bcim/aldeias-indigenas/projection/nome,nomeabrev/within/" + SERVER + "api/bcim/unidades-federativas/ES/", 200),
RequestTest("api/bcim/unidades-federativas/contains/" + SERVER + "api/bcim/aldeias-indigenas/623", 200),
RequestTest("api/bcim/unidades-federativas/projection/sigla,geom/contains/" + SERVER + "api/bcim/aldeias-indigenas/623", 200),
]
arr_get_for_complex_requests = [
#("api/bcim/aldeias-indigenas/filter/geom/within/" + SERVER + "api/bcim/unidades-federativas/ES/*collect/geom/buffer/0.2/!union/(" + SERVER + "api/bcim/aldeias-indigenas/filter/geom/within/" + SERVER + "api/bcim/unidades-federativas/AM/*collect/geom/buffer/0.2), 200),"
RequestTest("api/bcim/aldeias-indigenas/filter/geom/within/" + SERVER + "api/bcim/unidades-federativas/ES/*collect/geom/buffer/0.2/!union!/" + SERVER + "api/bcim/aldeias-indigenas/filter/geom/within/" + SERVER + "api/bcim/unidades-federativas/AM/*collect/geom/buffer/0.2", 200),
RequestTest("api/bcim/aldeias-indigenas/filter/geom/within/" + SERVER + "api/bcim/unidades-federativas/ES/*collect/nome&geom/buffer/0.2/!union!/" + SERVER + "api/bcim/aldeias-indigenas/filter/geom/within/" + SERVER + "api/bcim/unidades-federativas/AM/*collect/nome&geom/buffer/0.2", 200),
RequestTest("api/bcim/aldeias-indigenas/filter/geom/within/" + SERVER + "api/bcim/unidades-federativas/AM/*collect/nome&geom/buffer/0.2/!union!/" + SERVER + "api/bcim/unidades-federativas/MG/envelope/", 200),
RequestTest("api/bcim/aldeias-indigenas/filter/geom/within/" + SERVER + "api/bcim/unidades-federativas/AM/*collect/nome&geom/buffer/0.2/!union!/Polygon((-51.04196101779323 -22.915330279829785, -39.86109832699603 -22.915330279829785, -39.86109832699603 -14.227537498798952, -51.04196101779323 -14.227537498798952, -51.04196101779323 -22.915330279829785))", 200),
]
arr_get_for_geometry_collection_operation = [
RequestTest("api/bcim/aldeias-indigenas/within/"+ SERVER +"api/bcim/unidades-federativas/ES/", 200),
RequestTest("api/bcim/aldeias-indigenas/projection/nome/within/"+ SERVER +"api/bcim/unidades-federativas/ES/", 200),
RequestTest("api/bcim/aldeias-indigenas/projection/geom,nome/within/"+ SERVER +"api/bcim/unidades-federativas/ES/", 200),
RequestTest("api/bcim/aldeias-indigenas/within/"+ SERVER +"api/bcim/unidades-federativas/ES/*count-resource", 200),
RequestTest("api/bcim/aldeias-indigenas/projection/nome/within/"+ SERVER +"api/bcim/unidades-federativas/ES/*count-resource", 200),
RequestTest("api/bcim/aldeias-indigenas/projection/nome,geom/within/"+ SERVER +"api/bcim/unidades-federativas/ES/*count-resource", 200),
RequestTest("api/bcim/aldeias-indigenas/within/"+ SERVER +"api/bcim/unidades-federativas/ES/*collect/nome/upper", 200),
RequestTest("api/bcim/aldeias-indigenas/within/"+ SERVER +"api/bcim/unidades-federativas/ES/*collect/geom&nome/upper", 200),
RequestTest("api/bcim/aldeias-indigenas/within/"+ SERVER +"api/bcim/unidades-federativas/ES/*collect/geom/buffer/1.2", 200),
RequestTest("api/bcim/aldeias-indigenas/within/"+ SERVER +"api/bcim/unidades-federativas/ES/*collect/nome&geom/buffer/1.2", 200),
RequestTest("api/bcim/aldeias-indigenas/projection/nome/within/"+ SERVER +"api/bcim/unidades-federativas/ES/*collect/nome/upper", 200),
RequestTest("api/bcim/aldeias-indigenas/projection/geom/within/"+ SERVER +"api/bcim/unidades-federativas/ES/*collect/geom/buffer/1.2", 200),
RequestTest("api/bcim/aldeias-indigenas/projection/geom/within/"+ SERVER +"api/bcim/unidades-federativas/ES/*collect/nome&geom/buffer/1.2", 400),
RequestTest("api/bcim/aldeias-indigenas/projection/nome,geom/within/"+ SERVER +"api/bcim/unidades-federativas/ES/*collect/geom&nome/upper", 200),
RequestTest("api/bcim/aldeias-indigenas/projection/nome,geom/within/"+ SERVER +"api/bcim/unidades-federativas/ES/*collect/nome/upper", 400),
RequestTest("api/bcim/aldeias-indigenas/projection/geom/within/"+ SERVER +"api/bcim/unidades-federativas/ES/*collect/geom&nome/upper", 400),
]
arr_get_for_join_operation = [
# NonSpatialResource (1 resource) join FeatureResource (1 resource) (Not joinable)
#RequestTest("controle-list/usuario-list/1/join/data_nascimento&geocodigo/" + SERVER + "api/bcim/unidades-federativas/ES", 400),
# NonSpatialResource (1 resource) join FeatureResource (n resources) (Not joinable)
#RequestTest("controle-list/usuario-list/1/join/data_nascimento&geocodigo/" + SERVER + "api/bcim/unidades-federativas/", 400),
# FeatureResource (1 resource) join NonSpatialResource (1 resource)
RequestTest("api/bcim/municipios/3304557/join/geocodigo&geocodigo/http://172.30.10.86/api/munic-2015/planejamento-urbano-list/3243/", 200),
RequestTest('api/bcim/unidades-federativas/ES/join/geocodigo&uf_geocodigo/{"uf_geocodigo":"32","pib_estimado":1000000000}', 200),
#("api/bcim/unidades-federativas/ES/join/geocodigo&geocodigo/http://gabriel:8880/estados-list/unidade-federativa-list/2/", 200),
# FeatureResource (1 resource) join CollectionResource (n resources)
RequestTest("api/bcim/municipios/3304557/join/geocodigo&cod_municipio/http://172.30.10.86/api/pib-municipio/faturamento-list/filter/cod_municipio/eq/3304557", 200),
#("api/bcim/unidades-federativas/ES/join/geocodigo&geocodigo/http://gabriel:8880/estados-list/unidade-federativa-list/", 200),
# FeatureResource join NonSpatialResource (Not joinable)
RequestTest("api/bcim/municipios/3304557/join/geocodigo&nome/http://172.30.10.86/api/munic-2015/planejamento-urbano-list/3243/", 400),
#("api/bcim/unidades-federativas/ES/join/geocodigo&nome/http://gabriel:8880/estados-list/unidade-federativa-list/2/", 400),
# FeatureCollection (n resources) join CollectionResource (n resources)
RequestTest("api/bcim/unidades-federativas/join/geocodigo&cod_estado/http://172.30.10.86/esporte-list/cond-funcionamento-list/", 200),
#("api/bcim/unidades-federativas/join/geocodigo&geocodigo/http://gabriel:8880/estados-list/unidade-federativa-list/", 200),
# CollectionResource (n resources) join FeatureCollection (n resources)
#("esporte-list/cond-funcionamento-list/join/cod_estado&geocodigo/http://172.30.10.86/api/bcim/unidades-federativas/offset_limit/0&2/geocodigo,nome,geom", 200),
# FeatureCollection (n resources) join CollectionResource (n resources)
RequestTest("api/bcim/unidades-federativas/filter/sigla/in/RJ&ES&MG/join/geocodigo&cod_estado/http://172.30.10.86/esporte-list/cond-funcionamento-list/filter/cod_estado/in/31&32&33&35/", 200),
]
arr_options_for_collection_operation = [
RequestTest("controle-list/usuario-list/filter/id/gt/5/", 200, method="OPTIONS"),
RequestTest("controle-list/usuario-list/collect/nome/upper", 200, method="OPTIONS"),
RequestTest("controle-list/usuario-list/collect/id&email/upper", 200, method="OPTIONS"),
RequestTest("controle-list/usuario-list/count-resource", 200, method="OPTIONS"),
RequestTest("controle-list/usuario-list/offset-limit/0&2", 200, method="OPTIONS"),
RequestTest("controle-list/usuario-list/offset-limit/0&2/nome", 400, method="OPTIONS"),
RequestTest("controle-list/usuario-list/offset-limit/0&2/nome,email", 400, method="OPTIONS"),
RequestTest("controle-list/usuario-list/distinct/nome", 200, method="OPTIONS"),
RequestTest("controle-list/usuario-list/group-by/nome", 400, method="OPTIONS"), # the operation 'group_by' doesn't exists anymore
RequestTest("controle-list/usuario-list/group-by-count/nome", 200, method="OPTIONS"),
RequestTest("controle-list/usuario-list/filter/id/gt/5/*collect/nome/upper", 200, method="OPTIONS"),
RequestTest("controle-list/usuario-list/filter/id/gt/5/*collect/id&email/upper", 200, method="OPTIONS"),
RequestTest("controle-list/usuario-list/filter/id/gt/5/*count-resource", 200, method="OPTIONS"),
RequestTest("controle-list/usuario-list/offset-limit/0&2/collect/nome/upper", 200, method="OPTIONS"),
RequestTest("controle-list/usuario-list/offset-limit/0&2/collect/id&nome/upper", 200, method="OPTIONS"),
RequestTest("controle-list/usuario-list/offset-limit/0&2/nome/collect/nome/upper", 400, method="OPTIONS"),
RequestTest("controle-list/usuario-list/offset-limit/0&2/nome,id/collect/id&nome/upper", 400, method="OPTIONS"),
RequestTest("controle-list/usuario-list/offset-limit/0&2/nome/collect/id&nome/upper", 400, method="OPTIONS"),
RequestTest("controle-list/usuario-list/filter/id/gt/5/*count-resource", 200, method="OPTIONS"),
# Collection operation used by FeatureCollection
RequestTest("api/bcim/unidades-federativas/filter/sigla/in/RJ&ES&MG&SP", 200, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/collect/nome/upper", 200, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/collect/nome&sigla/lower", 200, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/collect/geom&sigla/lower", 200, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/collect/sigla&geom/buffer/0.2", 200, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/collect/geom/buffer/0.2", 200, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/collect/geom/area", 200, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/collect/sigla&geom/area", 200, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/collect/sigla&geom/point_on_surface", 200, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/collect/geom/point_on_surface", 200, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/count-resource", 200, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/offset-limit/0&2", 200, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/offset-limit/0&2/nome", 400, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/offset-limit/0&2/nome,sigla", 400, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/offset-limit/0&2/nome,geom", 400, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/offset-limit/0&2/geom", 400, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/distinct/nome", 200, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/group-by/nome", 400, method="OPTIONS"), # the operation 'group_by' doesn't exists anymore
RequestTest("api/bcim/unidades-federativas/group-by-count/nome", 200, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/filter/sigla/in/RJ&ES&MG&SP/*collect/nome/upper", 200, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/filter/sigla/in/RJ&ES&MG&SP/*collect/nome&sigla/lower", 200, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/filter/sigla/in/RJ&ES&MG&SP/*collect/geom&sigla/lower", 200, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/filter/sigla/in/RJ&ES&MG&SP/*collect/sigla&geom/buffer/0.2", 200, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/filter/sigla/in/RJ&ES&MG&SP/*collect/geom/buffer/0.2", 200, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/filter/sigla/in/RJ&ES&MG&SP/*collect/geom/area", 200, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/filter/sigla/in/RJ&ES&MG&SP/*collect/sigla&geom/area", 200, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/filter/sigla/in/RJ&ES&MG&SP/*collect/sigla&geom/point_on_surface", 200, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/filter/sigla/in/RJ&ES&MG&SP/*collect/geom/point_on_surface", 200, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/offset-limit/0&2/collect/nome/upper", 200, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/offset-limit/0&2/collect/nome&sigla/lower", 200, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/offset-limit/0&2/collect/geom&sigla/lower", 200, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/offset-limit/0&2/collect/sigla&geom/buffer/0.2", 200, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/offset-limit/0&2/collect/geom/buffer/0.2", 200, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/offset-limit/0&2/collect/geom/area", 200, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/offset-limit/0&2/collect/sigla&geom/area", 200, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/offset-limit/0&2/collect/sigla&geom/point_on_surface", 200, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/offset-limit/0&2/collect/geom/point_on_surface", 200, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/offset-limit/0&2/nome/collect/nome/upper", 400, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/offset-limit/0&2/nome,sigla/collect/nome&sigla/lower", 400, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/offset-limit/0&2/sigla,geom/collect/geom&sigla/lower", 400, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/offset-limit/0&2/sigla,geom/collect/sigla&geom/buffer/0.2", 400, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/offset-limit/0&2/geom/collect/geom/buffer/0.2", 400, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/offset-limit/0&2/geom/collect/geom/area", 400, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/offset-limit/0&2/sigla,geom/collect/sigla&geom/area", 400, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/offset-limit/0&2/sigla,geom/collect/sigla&geom/point_on_surface", 400, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/offset-limit/0&2/geom/collect/geom/point_on_surface", 400, method="OPTIONS"),
RequestTest("api/bcim/unidades-federativas/filter/sigla/in/RJ&ES&MG&SP/*count-resource", 200, method="OPTIONS"),
]
# The suffixed requests just need simple tests (once requests suffixed with '.jsonld' is just repassed to options() method)
# More complex tests must be applied in OPTIONS requests (without suffix)
arr_get_for_collect_operation_context = [
RequestTest("controle-list/usuario-list/filter/id/gt/5.jsonld", 200),
RequestTest("controle-list/usuario-list/collect/nome/upper.jsonld", 200),
RequestTest("controle-list/usuario-list/collect/id&email/upper.jsonld", 200),
RequestTest("controle-list/usuario-list/projection/id,email/collect/id&email/upper.jsonld", 200),
RequestTest("controle-list/usuario-list/projection/email/collect/id&email/upper.jsonld", 400),
RequestTest("api/bcim/unidades-federativas/collect/nome/upper.jsonld", 200),
RequestTest("api/bcim/unidades-federativas/collect/nome&sigla/lower.jsonld", 200),
RequestTest("api/bcim/unidades-federativas/collect/geom&sigla/lower.jsonld", 200),
RequestTest("api/bcim/unidades-federativas/collect/sigla&geom/buffer/0.2.jsonld", 200),
RequestTest("api/bcim/unidades-federativas/collect/geom/buffer/0.2.jsonld", 200),
RequestTest("api/bcim/unidades-federativas/collect/geom/area.jsonld", 200),
RequestTest("api/bcim/unidades-federativas/collect/sigla&geom/area.jsonld", 200),
RequestTest("api/bcim/unidades-federativas/collect/sigla&geom/point_on_surface.jsonld", 200),
RequestTest("api/bcim/unidades-federativas/collect/geom/point_on_surface.jsonld", 200),
RequestTest("api/bcim/unidades-federativas/projection/sigla,geom/collect/sigla&geom/area.jsonld", 200),
RequestTest("api/bcim/unidades-federativas/projection/sigla/collect/sigla&geom/area.jsonld", 400),
]
arr_get_for_tiff_resource = [
RequestTest('raster/imagem-exemplo-tile1-list/61/', 200),
RequestTest('raster/imagem-exemplo-tile1-list/61/bands', 200),
RequestTest('raster/imagem-exemplo-tile1-list/61/destructor', 200),
RequestTest('raster/imagem-exemplo-tile1-list/61/driver', 200),
RequestTest('raster/imagem-exemplo-tile1-list/61/extent', 200),
RequestTest('raster/imagem-exemplo-tile1-list/61/geotransform', 200),
RequestTest('raster/imagem-exemplo-tile1-list/61/height', 200),
RequestTest('raster/imagem-exemplo-tile1-list/61/info', 200),
RequestTest('raster/imagem-exemplo-tile1-list/61/metadata', 200),
RequestTest('raster/imagem-exemplo-tile1-list/61/name', 200),
RequestTest('raster/imagem-exemplo-tile1-list/61/origin', 200),
RequestTest('raster/imagem-exemplo-tile1-list/61/ptr', 200),
RequestTest('raster/imagem-exemplo-tile1-list/61/ptr_type', 200),
RequestTest('raster/imagem-exemplo-tile1-list/61/scale', 200),
RequestTest('raster/imagem-exemplo-tile1-list/61/skew', 200),
RequestTest('raster/imagem-exemplo-tile1-list/61/srid', 200),
RequestTest('raster/imagem-exemplo-tile1-list/61/srs', 200),
RequestTest('raster/imagem-exemplo-tile1-list/61/transform/3086', 200),
RequestTest('raster/imagem-exemplo-tile1-list/61/vsi_buffer', 200),
RequestTest('raster/imagem-exemplo-tile1-list/61/warp', 200),
RequestTest('raster/imagem-exemplo-tile1-list/61/width', 200),
]
arr_options_for_tiff_resource = [
RequestTest('raster/imagem-exemplo-tile1-list/61/', 200, method='OPTIONS')
]
def test_requests(request_test_list, test_label=''):
default_init_test_label = "Initializing test set:"
init_label_len = len(test_label) + len(default_init_test_label) + 5
print("\n\n" + init_label_len * "*" + "\n* " + default_init_test_label + " " + test_label + " *\n" + init_label_len * "*" + "\n\n")
requests_with_error = []
for request_test in request_test_list:
print('Executing: ' + request_test.uri)
if request_test.method == 'OPTIONS':
res = requests.options(request_test.uri)
else:
res = requests.get(request_test.uri)
if res.status_code != request_test.expec_status_code:#not in (200, 201,202,203,204,300,301,302,303):
print('Failed: ' + request_test.uri + ' ' + str(res.status_code) + ' != ' + str(request_test.expec_status_code) + ' (Expected)')
#url_status_code_status_ret = list(request_test)
#url_status_code_status_ret.append(res.status_code)
requests_with_error.append( (request_test.uri, request_test.expec_status_code, res.status_code) )
if len(requests_with_error) > 0:
print("***************The urls below failed****************")
for req_str_error in requests_with_error:
print(req_str_error[0] + ' ' + str(req_str_error[2]) + ' != ' + str(req_str_error[1]) + ' (Expected)')
print("***************failed urls****************")
else:
print("*********Sucess***********")
default_fin_test_label = "End of test set:"
fin_label_len = len(test_label) + len(default_fin_test_label) + 5
print("\n\n" + fin_label_len * "*" + "\n* " + default_fin_test_label + " " + test_label + " *\n" + fin_label_len * "*" + "\n\n")
'''
test_requests(arr_get_for_non_spatial_resource, test_label = "Tests for NonSpatialResource")
test_requests(arr_get_for_collection, test_label="Generic tests to collection operations")
test_requests(arr_get_for_spatial_operations, test_label="Tests for spatial operations")
test_requests(arr_get_for_complex_requests, test_label="Tests for complex requests")
test_requests(arr_get_for_projection, test_label="Tests for FeatureCollection with and without projection")
test_requests(arr_get_for_geometry_collection_operation, test_label="Tests for spatial collection operations")
#test_requests(arr_get_for_join_operation, test_label="Tests for join operation")
test_requests(arr_options_for_collection_operation, test_label = "Tests OPTIONS for Collection operations")
test_requests(arr_get_for_collect_operation_context, test_label = "Tests GET for Collect operation context")
test_requests(arr_get_for_tiff_resource, test_label = "Tests GET for TiffResource")
test_requests(arr_options_for_tiff_resource, test_label = "Tests OPTIONS for TiffResource")
'''
print("\n\n" + 25 * "X" + "\nX End of all test sets X\n" + 25 * "X" + "\n\n")
args = sys.argv
if '-a' in args:
'''
print("\n\n\n<<< INITIALIZING SINTAX CHECK TEST SET >>>\n")
print("\n\n<<< Testing GenericOperationsSintaxTest >>>")
os.system("python manage.py test hyper_resource.tests.GenericOperationsSintaxTest --testrunner=hyper_resource.tests.NoDbTestRunner")
print("\n\n<<< Testing CollectionOperationsSintaxTest >>>")
os.system("python manage.py test hyper_resource.tests.CollectionOperationsSintaxTest --testrunner=hyper_resource.tests.NoDbTestRunner")
# GET Tests
print("\n\n\n<<< INITIALIZING GET TEST SET >>>\n")
print("\n\n<<< Testing CollectOperationTest >>>")
os.system("python manage.py test hyper_resource.tests.CollectOperationTest --testrunner=hyper_resource.tests.NoDbTestRunner")
print("\n\n<<< Testing GroupBySumOperationTest >>>")
os.system("python manage.py test hyper_resource.tests.GroupBySumOperationTest --testrunner=hyper_resource.tests.NoDbTestRunner")
print("\n\n<<< Testing ProjectionOperationTest >>>")
os.system("python manage.py test hyper_resource.tests.ProjectionOperationTest --testrunner=hyper_resource.tests.NoDbTestRunner")
print("\n\n<<< Testing FilterOperationTest >>>")
os.system("python manage.py test hyper_resource.tests.FilterOperationTest --testrunner=hyper_resource.tests.NoDbTestRunner")
#print("\n\n<<< Testing JoinOperationTest >>>")
#os.system("python manage.py test hyper_resource.tests.JoinOperationTest --testrunner=hyper_resource.tests.NoDbTestRunner")
print("\n\n<<< Testing EntryPointTest >>>")
os.system("python manage.py test hyper_resource.tests.EntryPointTest --testrunner=hyper_resource.tests.NoDbTestRunner")
print("\n\n<<< Testing RasterTest >>>")
os.system("python manage.py test hyper_resource.tests.RasterTest --testrunner=hyper_resource.tests.NoDbTestRunner")
print("\n\n<<< Testing FeatureCollectionTest >>>")
os.system("python manage.py test hyper_resource.tests.FeatureCollectionTest --testrunner=hyper_resource.tests.NoDbTestRunner")
print("\n\n<<< Testing FeatureResourceTest >>>")
os.system("python manage.py test hyper_resource.tests.FeatureResourceTest --testrunner=hyper_resource.tests.NoDbTestRunner")
'''
# OPTIONS Tests
print("\n\n\n<<< INITIALIZING OPTIONS TEST SET >>>\n")
print("\n\n<<< Testing OptionsForCollectOperationTest >>>")
os.system("python manage.py test hyper_resource.tests.OptionsForCollectOperationTest --testrunner=hyper_resource.tests.NoDbTestRunner")
#print("\n\n<<< Testing OptionsForProjectionOperation >>>")
#os.system("python manage.py test hyper_resource.tests.OptionsForProjectionOperation --testrunner=hyper_resource.tests.NoDbTestRunner")
#print("\n\n<<< Testing OptionsForJoinOperationTest >>>")
#os.system("python manage.py test hyper_resource.tests.OptionsForJoinOperationTest --testrunner=hyper_resource.tests.NoDbTestRunner")
print("\n\n<<< Testing OptionsEntryPointTest >>>")
os.system("python manage.py test hyper_resource.tests.OptionsEntryPointTest --testrunner=hyper_resource.tests.NoDbTestRunner")
print("\n\n<<< Testing OptionsForRasterTest >>>")
os.system("python manage.py test hyper_resource.tests.OptionsForRasterTest --testrunner=hyper_resource.tests.NoDbTestRunner")
#print("\n\n<<< Testing OptionsFeatureCollectionTest >>>")
#os.system("python manage.py test hyper_resource.tests.OptionsFeatureCollectionTest --testrunner=hyper_resource.tests.NoDbTestRunner")
print("\n\n<<< Testing RequestOptionsTest >>>")
os.system("python manage.py test hyper_resource.tests.RequestOptionsTest --testrunner=hyper_resource.tests.NoDbTestRunner")
#print("\n\n<<< Testing GetRequestContextTest >>>")
#os.system("python manage.py test hyper_resource.tests.GetRequestContextTest --testrunner=hyper_resource.tests.NoDbTestRunner")
#print("\n\n<<< Testing OptionsFeatureResourceTest >>>")
#os.system("python manage.py test hyper_resource.tests.OptionsFeatureResourceTest --testrunner=hyper_resource.tests.NoDbTestRunner")
print("\n\n<<< Testing OptionsCollectionResource >>>")
os.system("python manage.py test hyper_resource.tests.OptionsCollectionResource --testrunner=hyper_resource.tests.NoDbTestRunner")
print("\n\n<<< Testing OptionsNonSpatialResource >>>")
os.system("python manage.py test hyper_resource.tests.OptionsNonSpatialResource --testrunner=hyper_resource.tests.NoDbTestRunner")
# HEAD Tests
print("\n\n\n<<< INITIALIZING HEAD TEST SET >>>\n")
print("\n\n<<< Testing HeadEntryPointTest >>>")
os.system("python manage.py test hyper_resource.tests.HeadEntryPointTest --testrunner=hyper_resource.tests.NoDbTestRunner")
print("\n\n<<< Testing HeadFeatureCollectionTest >>>")
os.system("python manage.py test hyper_resource.tests.HeadFeatureCollectionTest --testrunner=hyper_resource.tests.NoDbTestRunner")
print("\n\n<<< Testing AllowedMethodsForEntryPoint >>>")
os.system("python manage.py test hyper_resource.tests.AllowedMethodsForEntryPoint --testrunner=hyper_resource.tests.NoDbTestRunner")
print("\n\n<<< Testing AllowedMethodsForNonSpatialResource >>>")
os.system("python manage.py test hyper_resource.tests.AllowedMethodsForNonSpatialResource --testrunner=hyper_resource.tests.NoDbTestRunner")
print("\n\n<<< Testing AllowedMethodsForCollectionResource >>>")
os.system("python manage.py test hyper_resource.tests.AllowedMethodsForCollectionResource --testrunner=hyper_resource.tests.NoDbTestRunner")
print("\n\n<<< Testing AllowedMethodsForTiffCollectionResource >>>")
os.system("python manage.py test hyper_resource.tests.AllowedMethodsForTiffCollectionResource --testrunner=hyper_resource.tests.NoDbTestRunner")
print("\n\n<<< Testing AllowedMethodsForTiffResourceTest >>>")
os.system("python manage.py test hyper_resource.tests.AllowedMethodsForTiffResourceTest --testrunner=hyper_resource.tests.NoDbTestRunner")
print("\n\n<<< Testing AllowedMethodsForFeatureResourceTest >>>")
os.system("python manage.py test hyper_resource.tests.AllowedMethodsForFeatureResourceTest --testrunner=hyper_resource.tests.NoDbTestRunner")
print("\n\n<<< Testing AllowedMethodsForFeatureCollectionResourceTest >>>")
os.system("python manage.py test hyper_resource.tests.AllowedMethodsForFeatureCollectionResourceTest --testrunner=hyper_resource.tests.NoDbTestRunner")
print("\n\n<<< Testing HeadFeatureResourceTest >>>")
os.system("python manage.py test hyper_resource.tests.HeadFeatureResourceTest --testrunner=hyper_resource.tests.NoDbTestRunner")
# Not classified
print("\n\n\n<<< INITIALIZING NOT CLASSIFIED TEST SET >>>\n")
print("\n\n<<< Testing PaginationTest >>>")
os.system("python manage.py test hyper_resource.tests.PaginationTest --testrunner=hyper_resource.tests.NoDbTestRunner")
print("\n\n<<< Testing LinkHeaderTest >>>")
os.system("python manage.py test hyper_resource.tests.LinkHeaderTest --testrunner=hyper_resource.tests.NoDbTestRunner") | 85.112266 | 365 | 0.748406 | 5,312 | 40,939 | 5.702937 | 0.071348 | 0.06493 | 0.103486 | 0.179375 | 0.839242 | 0.792401 | 0.75718 | 0.680696 | 0.622367 | 0.487456 | 0 | 0.047187 | 0.087887 | 40,939 | 481 | 366 | 85.112266 | 0.764093 | 0.118103 | 0 | 0.031339 | 0 | 0.242165 | 0.657714 | 0.577904 | 0 | 0 | 0 | 0 | 0 | 1 | 0.005698 | false | 0 | 0.002849 | 0 | 0.011396 | 0.08547 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
e1790e5a0b66ae5ef4872b0d3c70099bef98c2b8 | 10,516 | py | Python | tests/test_item.py | oddacious/python-cacheblob | fdaa37997990ff294ae96f18ab725a5259ca5ca1 | [
"Apache-2.0"
] | null | null | null | tests/test_item.py | oddacious/python-cacheblob | fdaa37997990ff294ae96f18ab725a5259ca5ca1 | [
"Apache-2.0"
] | null | null | null | tests/test_item.py | oddacious/python-cacheblob | fdaa37997990ff294ae96f18ab725a5259ca5ca1 | [
"Apache-2.0"
] | null | null | null | import unittest
import os
import sys
testdir = os.path.dirname(__file__)
sys.path.insert(0, os.path.abspath(os.path.join(testdir, "../src/")))
class TestCacheItem(unittest.TestCase):
def test_init_both_expiry_duration(self):
import cacheblob.item as item
self.assertRaises(
ValueError,
item.CacheItem,
index=1,
value=1,
expiry=1,
duration=1)
def test_init_wrong_duration_type(self):
import cacheblob.item as item
import datetime
self.assertRaises(
TypeError,
item.CacheItem,
index=1,
value=1,
duration=datetime.datetime.now())
def test_init_wrong_expiry_type(self):
import cacheblob.item as item
self.assertRaises(
TypeError,
item.CacheItem,
index=1,
value=1,
expiry=1)
def test_init_wrong_expiry_type2(self):
import cacheblob.item as item
import datetime
self.assertRaises(
TypeError,
item.CacheItem,
index=1,
value=1,
expiry=datetime.timedelta(1))
def test_init_wrong_created_type(self):
import cacheblob.item as item
self.assertRaises(
TypeError,
item.CacheItem,
index=1,
value=1,
created=1)
def test_init_wrong_created_type2(self):
import cacheblob.item as item
import datetime
self.assertRaises(
TypeError,
item.CacheItem,
index=1,
value=1,
created=datetime.timedelta(1))
def test_init_past_expiry(self):
import cacheblob.item as item
import datetime
self.assertRaises(ValueError, item.CacheItem, index=1, value=1,
expiry=datetime.datetime.now() + datetime.timedelta(-1))
def test_init_none(self):
import cacheblob.item as item
test_item = item.CacheItem(index=1, value=1)
self.assertEqual(1, test_item.index)
def test_init_duration(self):
import cacheblob.item as item
import datetime
test_item = item.CacheItem(
index=1, value=1, duration=datetime.timedelta(10))
self.assertEqual(datetime.timedelta(10), test_item.duration)
def test_init_created_and_duration(self):
import cacheblob.item as item
import datetime
import pytz
created = datetime.datetime.now()
test_item = item.CacheItem(
index=1,
value=1,
created=created,
duration=datetime.timedelta(10))
self.assertEqual(pytz.utc.localize(created), test_item.created)
def test_init_expiry(self):
import cacheblob.item as item
import datetime
import pytz
expiry = datetime.datetime.now() + datetime.timedelta(1)
test_item = item.CacheItem(index=1, value=1, expiry=expiry)
self.assertEqual(pytz.utc.localize(expiry), test_item.expiry)
def test_init_created_and_expiry(self):
import cacheblob.item as item
import datetime
import pytz
created = datetime.datetime.now()
expiry = datetime.datetime.now() + datetime.timedelta(1)
test_item = item.CacheItem(
index=1, value=1, created=created, expiry=expiry)
self.assertEqual(pytz.utc.localize(created), test_item.created)
self.assertEqual(pytz.utc.localize(expiry), test_item.expiry)
def test_get_index(self):
import cacheblob.item as item
import datetime
created = datetime.datetime.now()
expiry = datetime.datetime.now() + datetime.timedelta(1)
test_item = item.CacheItem(
index='alpha',
value='beta',
created=created,
expiry=expiry)
self.assertEqual('alpha', test_item.index)
def test_get_value(self):
import cacheblob.item as item
import datetime
created = datetime.datetime.now()
expiry = datetime.datetime.now() + datetime.timedelta(1)
test_item = item.CacheItem(
index='alpha',
value='beta',
created=created,
expiry=expiry)
self.assertEqual('beta', test_item.value)
def test_get_created(self):
import cacheblob.item as item
import datetime
import pytz
created = datetime.datetime.now()
expiry = datetime.datetime.now() + datetime.timedelta(1)
test_item = item.CacheItem(
index='alpha',
value='beta',
created=created,
expiry=expiry)
self.assertEqual(pytz.utc.localize(created), test_item.created)
def test_get_created_localized(self):
import cacheblob.item as item
import datetime
import pytz
created = pytz.utc.localize(datetime.datetime.now())
expiry = datetime.datetime.now() + datetime.timedelta(1)
test_item = item.CacheItem(
index='alpha',
value='beta',
created=created,
expiry=expiry)
self.assertEqual(created, test_item.created)
def test_get_expiry(self):
import cacheblob.item as item
import datetime
import pytz
created = datetime.datetime.now()
expiry = datetime.datetime.now() + datetime.timedelta(1)
test_item = item.CacheItem(
index='alpha',
value='beta',
created=created,
expiry=expiry)
self.assertEqual(pytz.utc.localize(expiry), test_item.expiry)
def test_get_expiry_localized(self):
import cacheblob.item as item
import datetime
import pytz
created = datetime.datetime.now()
expiry = pytz.utc.localize(
datetime.datetime.now() +
datetime.timedelta(1))
test_item = item.CacheItem(
index='alpha',
value='beta',
created=created,
expiry=expiry)
self.assertEqual(expiry, test_item.expiry)
def test_get_duration(self):
import cacheblob.item as item
import datetime
created = datetime.datetime.now()
expiry = datetime.datetime.now() + datetime.timedelta(1)
test_item = item.CacheItem(
index='alpha',
value='beta',
created=created,
expiry=expiry)
self.assertEqual(expiry - created, test_item.duration)
def test_get_length(self):
import cacheblob.item as item
import datetime
created = datetime.datetime.now()
expiry = datetime.datetime.now() + datetime.timedelta(1)
test_item = item.CacheItem(
index='alpha',
value='beta',
created=created,
expiry=expiry)
self.assertEqual(4, test_item.length)
def test_get_length_none_int(self):
import cacheblob.item as item
import datetime
created = datetime.datetime.now()
expiry = datetime.datetime.now() + datetime.timedelta(1)
test_item = item.CacheItem(
index='alpha',
value=1,
created=created,
expiry=expiry)
self.assertIsNone(test_item.length)
def test_set_index(self):
import cacheblob.item as item
import datetime
created = datetime.datetime.now()
expiry = datetime.datetime.now() + datetime.timedelta(1)
test_item = item.CacheItem(
index='alpha',
value=1,
created=created,
expiry=expiry)
test_item.index = 'gamma'
self.assertEqual('gamma', test_item.index)
def test_set_empty_duration(self):
import cacheblob.item as item
import datetime
created = datetime.datetime.now()
expiry = datetime.datetime.now() + datetime.timedelta(1)
test_item = item.CacheItem(
index='alpha',
value=1,
created=created,
expiry=expiry)
test_item.duration = None
self.assertIsNone(test_item.duration)
def test_inititalize_empty_duration(self):
import cacheblob.item as item
import cacheblob.constants as C
import datetime
created = datetime.datetime.now()
test_item = item.CacheItem(index='alpha', value=1, created=created)
self.assertEqual(C.DEFAULT_DURATION, test_item.duration)
def test_negative_duration(self):
import cacheblob.item as item
import datetime
created = datetime.datetime.now()
test_item = item.CacheItem(
index='alpha',
value=1,
created=created,
duration=datetime.timedelta(1))
with self.assertRaises(ValueError):
test_item.duration = datetime.timedelta(-1)
def test_set_empty_expiry(self):
import cacheblob.item as item
import datetime
created = datetime.datetime.now()
expiry = datetime.datetime.now() + datetime.timedelta(1)
test_item = item.CacheItem(
index='alpha',
value=1,
created=created,
expiry=expiry)
test_item.expiry = None
self.assertIsNone(test_item.expiry)
def test_check_updated(self):
import cacheblob.item as item
import datetime
import pytz
created = datetime.datetime.now()
test_item = item.CacheItem(index='alpha', value=1, created=created)
# Not a very specific test, but more stable than equality or a
# threshold
self.assertLessEqual(pytz.utc.localize(created), test_item.updated)
def test_is_expired_false(self):
import cacheblob.item as item
import datetime
test_item = item.CacheItem(
index='alpha',
value=1,
duration=datetime.timedelta(
minutes=1))
self.assertFalse(test_item.is_expired)
def test_is_expired_true(self):
import cacheblob.item as item
import datetime
import time
test_item = item.CacheItem(
index='alpha',
value=1,
duration=datetime.timedelta(
milliseconds=1))
time.sleep(0.01)
self.assertTrue(test_item.is_expired)
if __name__ == "__main__":
unittest.main()
| 28.117647 | 82 | 0.5969 | 1,137 | 10,516 | 5.391381 | 0.081794 | 0.062643 | 0.102284 | 0.108809 | 0.873736 | 0.81354 | 0.77863 | 0.753507 | 0.734095 | 0.712887 | 0 | 0.009986 | 0.314378 | 10,516 | 373 | 83 | 28.193029 | 0.840222 | 0.006657 | 0 | 0.712803 | 0 | 0 | 0.014459 | 0 | 0 | 0 | 0 | 0 | 0.103806 | 1 | 0.100346 | false | 0 | 0.231834 | 0 | 0.33564 | 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 |
e19c9db8295610f83cc0c0f6c256ccd3e9539a13 | 120 | py | Python | example_project/example_app/models.py | genosltd/django-comment | f66f66e64a2745f5022ea5e7a270a556d6c57a72 | [
"MIT"
] | null | null | null | example_project/example_app/models.py | genosltd/django-comment | f66f66e64a2745f5022ea5e7a270a556d6c57a72 | [
"MIT"
] | 3 | 2021-09-09T08:42:22.000Z | 2021-12-07T13:31:34.000Z | example_project/example_app/models.py | genosltd/django-comment | f66f66e64a2745f5022ea5e7a270a556d6c57a72 | [
"MIT"
] | 2 | 2021-08-24T12:11:55.000Z | 2021-12-01T10:21:25.000Z | from django.db import models
from django_comment.models import HasComments
class ExampleModel(HasComments):
pass
| 15 | 45 | 0.808333 | 15 | 120 | 6.4 | 0.666667 | 0.208333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.15 | 120 | 7 | 46 | 17.142857 | 0.941176 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.25 | 0.5 | 0 | 0.75 | 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 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 7 |
bede5070cf96b50e32bec59183177afe49f4341b | 5,495 | py | Python | tests/test_relink.py | elements-storage/django-haul | 18f535bd3b7d8b25d05026191218defe05f2c5a6 | [
"MIT"
] | 1 | 2022-03-14T03:56:31.000Z | 2022-03-14T03:56:31.000Z | tests/test_relink.py | elements-storage/django-haul | 18f535bd3b7d8b25d05026191218defe05f2c5a6 | [
"MIT"
] | null | null | null | tests/test_relink.py | elements-storage/django-haul | 18f535bd3b7d8b25d05026191218defe05f2c5a6 | [
"MIT"
] | null | null | null | from haul.policy import ImportPolicy, RelinkAction
from io import BytesIO
from test_app.app import reset
from test_app.models import Book, Author, Tag
from test_app.export import BookExporter, AuthorExporter, TagExporter
from haul import ImportContainer, ExportContainer
EXPORTERS = [BookExporter, AuthorExporter, TagExporter]
def test_discard_chain():
reset()
a1 = Author.objects.create(name='1')
Author.objects.create(name='2')
Book.objects.create(name='b1', author=a1)
d = BytesIO()
c = ExportContainer(exporters=EXPORTERS)
c.export_objects(Author.objects.all())
c.export_objects(Book.objects.all())
c.write(d)
reset()
class Policy(ImportPolicy):
def relink_object(self, model_cls, obj):
if model_cls is Author and obj.fields['name'] == '1':
return RelinkAction.Discard()
return RelinkAction.Create()
c = ImportContainer(exporters=EXPORTERS, policy=Policy())
with c.read(d):
c.import_objects()
assert not Author.objects.filter(name='1').exists()
assert Author.objects.filter(name='2').exists()
assert Book.objects.count() == 0
def test_discard_optional():
reset()
a1 = Author.objects.create(name='1')
a2 = Author.objects.create(name='2')
Book.objects.create(name='b1', author=a1, coauthor=a2)
d = BytesIO()
c = ExportContainer(exporters=EXPORTERS)
c.export_objects(Book.objects.all())
c.write(d)
reset()
class Policy(ImportPolicy):
def relink_object(self, model_cls, obj):
if model_cls is Author and obj.fields['name'] == '2':
return RelinkAction.Discard()
return RelinkAction.Create()
c = ImportContainer(exporters=EXPORTERS, policy=Policy())
with c.read(d):
c.import_objects()
assert Author.objects.count() == 1
assert Book.objects.count() == 1
assert Book.objects.first().coauthor is None
def test_relink_fields():
reset()
a1 = Author.objects.create(name='1')
Author.objects.create(name='2')
Book.objects.create(name='b1', author=a1)
d = BytesIO()
c = ExportContainer(exporters=EXPORTERS)
c.export_objects(Author.objects.all())
c.export_objects(Book.objects.all())
c.write(d)
Book.objects.all().delete()
Author.objects.filter(name='2').delete()
class Policy(ImportPolicy):
def relink_object(self, model_cls, obj):
if model_cls is Author:
return RelinkAction.LinkByFields(
lookup_fields=('name',),
fallback=RelinkAction.Create(),
)
return RelinkAction.Create()
c = ImportContainer(exporters=EXPORTERS, policy=Policy())
with c.read(d):
c.import_objects()
assert Author.objects.count() == 2
assert Book.objects.count() == 1
assert Book.objects.first().author == Author.objects.get(name='1')
def test_relink_and_overwrite_fields():
reset()
a = Author.objects.create(name='a')
Book.objects.create(name='b1', isbn='101', author=a)
Book.objects.create(name='b2', isbn='102', author=a)
d = BytesIO()
c = ExportContainer(exporters=EXPORTERS)
c.export_objects(Book.objects.all())
c.write(d)
Book.objects.filter(name='b2').update(name='updated')
class Policy(ImportPolicy):
def relink_object(self, model_cls, obj):
if model_cls is Book:
return RelinkAction.LinkByFields(
lookup_fields=('isbn',),
overwrite_fields=('name',),
)
if model_cls is Author:
return RelinkAction.LinkByFields(lookup_fields=('name',))
c = ImportContainer(exporters=EXPORTERS, policy=Policy())
with c.read(d):
c.import_objects()
assert Book.objects.count() == 2
assert Book.objects.filter(name='b2').exists()
assert not Book.objects.filter(name='updated').exists()
def test_relink_by_pk():
reset()
a = Author.objects.create(name='a')
Book.objects.create(name='b1', author=a)
Book.objects.create(name='b2', author=a)
d = BytesIO()
c = ExportContainer(exporters=EXPORTERS)
c.export_objects(Book.objects.all())
c.write(d)
Book.objects.filter(name='b2').update(name='updated')
class Policy(ImportPolicy):
def relink_object(self, model_cls, obj):
return RelinkAction.LinkByPK()
c = ImportContainer(exporters=EXPORTERS, policy=Policy())
with c.read(d):
c.import_objects()
assert Author.objects.count() == 1
assert Book.objects.count() == 2
assert Book.objects.filter(name='updated').exists()
def test_relink_to_instance():
reset()
a = Author.objects.create(name='a')
Book.objects.create(name='b1', author=a)
Book.objects.create(name='b2', author=a)
d = BytesIO()
c = ExportContainer(exporters=EXPORTERS)
c.export_objects(Book.objects.all())
c.write(d)
imp_a = Author.objects.create(name='imported books author')
class Policy(ImportPolicy):
def relink_object(self, model_cls, obj):
if model_cls is Author:
return RelinkAction.LinkToInstance(pk=imp_a.pk)
return RelinkAction.Create()
c = ImportContainer(exporters=EXPORTERS, policy=Policy())
with c.read(d):
c.import_objects()
assert Author.objects.count() == 2
assert Book.objects.count() == 4
assert imp_a.books.count() == 2
| 28.471503 | 73 | 0.643312 | 675 | 5,495 | 5.151111 | 0.124444 | 0.091746 | 0.092896 | 0.066149 | 0.801265 | 0.767903 | 0.767903 | 0.75036 | 0.75036 | 0.716135 | 0 | 0.011459 | 0.221838 | 5,495 | 192 | 74 | 28.619792 | 0.801684 | 0 | 0 | 0.702128 | 0 | 0 | 0.021474 | 0 | 0 | 0 | 0 | 0 | 0.12766 | 1 | 0.085106 | false | 0 | 0.177305 | 0.007092 | 0.382979 | 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 |
831222bc18d4894dd50af5ecaf655d5443c97ba6 | 5,189 | py | Python | Game/Pieces/Bishop.py | AhmedAlzubairi1/COMS4995 | c56c2549bf13538d89b001357f658ae04e5f3f8d | [
"MIT"
] | 2 | 2021-09-23T01:58:35.000Z | 2022-01-30T00:34:52.000Z | Game/Pieces/Bishop.py | AhmedAlzubairi1/Chess | c56c2549bf13538d89b001357f658ae04e5f3f8d | [
"MIT"
] | 10 | 2020-10-02T00:37:52.000Z | 2020-12-02T07:12:28.000Z | Game/Pieces/Bishop.py | AhmedAlzubairi1/COMS4995 | c56c2549bf13538d89b001357f658ae04e5f3f8d | [
"MIT"
] | 2 | 2020-11-06T21:10:31.000Z | 2020-12-08T19:27:57.000Z | from .piece import Piece
class Bishop(Piece):
def __init__(self, board, color, group, row, col, game):
"""This is an init for a bishop piece. It creates the piece
:param board: A 2d list representing a board state
:type board: [list]
:param color: A string that is either 'BLACK' or 'WHITE'
:type color: str
:param group: A set representing all the pieces of the player
:type group: set
:param row: a number from 1 to 8 representing the row
:type row: row
:param col: a letter from 'A' to 'H' representing the col of the piece
:type col: str
"""
super().__init__(board, color, group, "Bishop", row, col, game)
def availableMoves(self):
"""Returns a set of the avaiable moves the Bishop can make
:return: A set of the available moves the bishop can make.
It is a set of tuples of the rows and colms that the move can move to
:rtype: {(int,str)}
"""
# Returns a set of the avaiable moves the Bishop can make
moves = set()
tempRow = self.row
tempCol = self.possibleCol[self.col] - 1
# Top left diagonal
while 0 <= tempCol <= 7 and 0 <= tempRow <= 7:
if self.board[tempRow][tempCol] is None:
moves.add((tempRow, tempCol))
else:
if self.validMove(tempRow, tempCol):
moves.add((tempRow, tempCol))
break
tempRow += 1
tempCol -= 1
# Top right diagonal
tempRow = self.row
tempCol = self.possibleCol[self.col] + 1
while 0 <= tempCol <= 7 and 0 <= tempRow <= 7:
if self.board[tempRow][tempCol] is None:
moves.add((tempRow, tempCol))
else:
if self.validMove(tempRow, tempCol):
moves.add((tempRow, tempCol))
break
tempRow += 1
tempCol += 1
# Bottom left diagonal
tempRow = self.row - 2
tempCol = self.possibleCol[self.col] - 1
while 0 <= tempCol <= 7 and 0 <= tempRow <= 7:
if self.board[tempRow][tempCol] is None:
moves.add((tempRow, tempCol))
else:
if self.validMove(tempRow, tempCol):
moves.add((tempRow, tempCol))
break
tempRow -= 1
tempCol -= 1
# Bottom right diagonal
tempRow = self.row - 2
tempCol = self.possibleCol[self.col] + 1
while 0 <= tempCol <= 7 and 0 <= tempRow <= 7:
if self.board[tempRow][tempCol] is None:
moves.add((tempRow, tempCol))
else:
if self.validMove(tempRow, tempCol):
moves.add((tempRow, tempCol))
break
tempRow -= 1
tempCol += 1
return moves
def possibleCapturesCheck(self):
"""Returns a set of the avaiable moves the bishop can make for a king check
:return: A set of the available moves the bishop can make for check.
It is a set of tuples of the rows and colms that the move can move to
:rtype: {(int,str)}
"""
moves = set()
tempRow = self.row
tempCol = self.possibleCol[self.col] - 1
# Top left diagonal
while 0 <= tempCol <= 7 and 0 <= tempRow <= 7:
if self.board[tempRow][tempCol] is None:
moves.add((tempRow, tempCol))
else:
if self.validMoveIncludingKing(tempRow, tempCol):
moves.add((tempRow, tempCol))
break
tempRow += 1
tempCol -= 1
# Top right diagonal
tempRow = self.row
tempCol = self.possibleCol[self.col] + 1
while 0 <= tempCol <= 7 and 0 <= tempRow <= 7:
if self.board[tempRow][tempCol] is None:
moves.add((tempRow, tempCol))
else:
if self.validMoveIncludingKing(tempRow, tempCol):
moves.add((tempRow, tempCol))
break
tempRow += 1
tempCol += 1
# Bottom left diagonal
tempRow = self.row - 2
tempCol = self.possibleCol[self.col] - 1
while 0 <= tempCol <= 7 and 0 <= tempRow <= 7:
if self.board[tempRow][tempCol] is None:
moves.add((tempRow, tempCol))
else:
if self.validMoveIncludingKing(tempRow, tempCol):
moves.add((tempRow, tempCol))
break
tempRow -= 1
tempCol -= 1
# Bottom right diagonal
tempRow = self.row - 2
tempCol = self.possibleCol[self.col] + 1
while 0 <= tempCol <= 7 and 0 <= tempRow <= 7:
if self.board[tempRow][tempCol] is None:
moves.add((tempRow, tempCol))
else:
if self.validMoveIncludingKing(tempRow, tempCol):
moves.add((tempRow, tempCol))
break
tempRow -= 1
tempCol += 1
return moves
| 36.286713 | 85 | 0.518019 | 594 | 5,189 | 4.511785 | 0.141414 | 0.167164 | 0.089552 | 0.131343 | 0.816791 | 0.816791 | 0.814552 | 0.814552 | 0.814552 | 0.814552 | 0 | 0.019886 | 0.389478 | 5,189 | 142 | 86 | 36.542254 | 0.826073 | 0.213529 | 0 | 0.938776 | 0 | 0 | 0.001538 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030612 | false | 0 | 0.010204 | 0 | 0.071429 | 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 |
83195e1813e3b7df74dc97a3b950488701801a36 | 129 | py | Python | api/models/__init__.py | FlipsideCrypto/flip | a0b27ec2dffbba42d3a907767bbae0fc6ec1bcbb | [
"MIT"
] | null | null | null | api/models/__init__.py | FlipsideCrypto/flip | a0b27ec2dffbba42d3a907767bbae0fc6ec1bcbb | [
"MIT"
] | null | null | null | api/models/__init__.py | FlipsideCrypto/flip | a0b27ec2dffbba42d3a907767bbae0fc6ec1bcbb | [
"MIT"
] | 1 | 2022-02-02T10:23:21.000Z | 2022-02-02T10:23:21.000Z | from uuid import uuid4
from .user import User
from .datax_user import DataxUser
def get_uid() -> str:
return str(uuid4())
| 14.333333 | 33 | 0.72093 | 20 | 129 | 4.55 | 0.6 | 0.21978 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019231 | 0.193798 | 129 | 8 | 34 | 16.125 | 0.855769 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | true | 0 | 0.6 | 0.2 | 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 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 7 |
8329fde0710aef03afc7ac01038c03b1d1910f60 | 16,226 | py | Python | functions/fingerprint_functions.py | brendaferrari/AutoPaDELPy | 777415c1448b6f0eb0b10ad941bbe79ec404ccd0 | [
"MIT"
] | 2 | 2022-01-03T21:29:17.000Z | 2022-03-23T22:55:37.000Z | functions/fingerprint_functions.py | brendaferrari/AutoPaDELPy | 777415c1448b6f0eb0b10ad941bbe79ec404ccd0 | [
"MIT"
] | 3 | 2021-09-03T13:06:27.000Z | 2022-03-23T23:00:46.000Z | functions/fingerprint_functions.py | brendaferrari/AutoPaDELPy | 777415c1448b6f0eb0b10ad941bbe79ec404ccd0 | [
"MIT"
] | 1 | 2022-01-03T21:29:18.000Z | 2022-01-03T21:29:18.000Z | import cmd
class FingerprintFunctions(cmd.Cmd):
file = None
def __init__(self):
cmd.Cmd.__init__(self)
self.prompt = '(fingerprint descriptor) '
self.intro = 'Which fingeprint descriptor do you wish to calculate? Type help or ? to list commands. Write finish if you want to move on to the next descriptor. \n'
self.completekey='tab'
def do_AtomPairs2DCount(self, mol_dir):
"""AtomPairs2DCount [mol_dir]
Calculate the AtomPairs2DFingerprintCount fingerprint"""
from padelpy import padeldescriptor
import glob
xml_files = glob.glob("functions/descriptors/fingerprint_descriptors/*.xml")
xml_files.sort()
FP_list = ['AtomPairs2DCount',
'AtomPairs2D',
'EState',
'CDKextended',
'CDK',
'CDKgraphonly',
'KlekotaRothCount',
'KlekotaRoth',
'MACCS',
'PubChem',
'SubstructureCount',
'Substructure']
fp = dict(zip(FP_list, xml_files))
fingerprint = 'AtomPairs2DCount'
fingerprint_output_file = ''.join([fingerprint,'.csv'])
fingerprint_descriptortypes = fp[fingerprint]
padeldescriptor(mol_dir='dataset.smi',
d_file=fingerprint_output_file,
descriptortypes= fingerprint_descriptortypes,
detectaromaticity=True,
standardizenitro=True,
standardizetautomers=True,
threads=2,
removesalt=True,
log=True,
fingerprints=True)
return False
def do_AtomPairs2D(self, mol_dir):
"""AtomPairs2D [mol_dir]
Calculate the AtomPairs2DFingerprinter fingerprint"""
from padelpy import padeldescriptor
import glob
xml_files = glob.glob("functions/descriptors/fingerprint_descriptors/*.xml")
xml_files.sort()
FP_list = ['AtomPairs2DCount',
'AtomPairs2D',
'EState',
'CDKextended',
'CDK',
'CDKgraphonly',
'KlekotaRothCount',
'KlekotaRoth',
'MACCS',
'PubChem',
'SubstructureCount',
'Substructure']
fp = dict(zip(FP_list, xml_files))
fingerprint = 'AtomPairs2D'
fingerprint_output_file = ''.join([fingerprint,'.csv'])
fingerprint_descriptortypes = fp[fingerprint]
padeldescriptor(mol_dir='dataset.smi',
d_file=fingerprint_output_file,
descriptortypes= fingerprint_descriptortypes,
detectaromaticity=True,
standardizenitro=True,
standardizetautomers=True,
threads=2,
removesalt=True,
log=True,
fingerprints=True)
return False
def do_EState(self, mol_dir):
"""EState [mol_dir]
Calculate the EStateFingerprinter fingerprint"""
from padelpy import padeldescriptor
import glob
xml_files = glob.glob("functions/descriptors/fingerprint_descriptors/*.xml")
xml_files.sort()
FP_list = ['AtomPairs2DCount',
'AtomPairs2D',
'EState',
'CDKextended',
'CDK',
'CDKgraphonly',
'KlekotaRothCount',
'KlekotaRoth',
'MACCS',
'PubChem',
'SubstructureCount',
'Substructure']
fp = dict(zip(FP_list, xml_files))
fingerprint = 'EState'
fingerprint_output_file = ''.join([fingerprint,'.csv'])
fingerprint_descriptortypes = fp[fingerprint]
padeldescriptor(mol_dir='dataset.smi',
d_file=fingerprint_output_file,
descriptortypes= fingerprint_descriptortypes,
detectaromaticity=True,
standardizenitro=True,
standardizetautomers=True,
threads=2,
removesalt=True,
log=True,
fingerprints=True)
return False
def do_CDKextended(self, mol_dir):
"""CDKextended[mol_dir]
Calculate the ExtendedFingerprinter fingerprint"""
from padelpy import padeldescriptor
import glob
xml_files = glob.glob("functions/descriptors/fingerprint_descriptors/*.xml")
xml_files.sort()
FP_list = ['AtomPairs2DCount',
'AtomPairs2D',
'EState',
'CDKextended',
'CDK',
'CDKgraphonly',
'KlekotaRothCount',
'KlekotaRoth',
'MACCS',
'PubChem',
'SubstructureCount',
'Substructure']
fp = dict(zip(FP_list, xml_files))
fingerprint = 'CDKextended'
fingerprint_output_file = ''.join([fingerprint,'.csv'])
fingerprint_descriptortypes = fp[fingerprint]
padeldescriptor(mol_dir='dataset.smi',
d_file=fingerprint_output_file,
descriptortypes= fingerprint_descriptortypes,
detectaromaticity=True,
standardizenitro=True,
standardizetautomers=True,
threads=2,
removesalt=True,
log=True,
fingerprints=True)
return False
def do_CDK(self, mol_dir):
"""CDK [mol_dir]
Calculate the Fingerprinter fingerprint"""
from padelpy import padeldescriptor
import glob
xml_files = glob.glob("functions/descriptors/fingerprint_descriptors/*.xml")
xml_files.sort()
FP_list = ['AtomPairs2DCount',
'AtomPairs2D',
'EState',
'CDKextended',
'CDK',
'CDKgraphonly',
'KlekotaRothCount',
'KlekotaRoth',
'MACCS',
'PubChem',
'SubstructureCount',
'Substructure']
fp = dict(zip(FP_list, xml_files))
fingerprint = 'CDK'
fingerprint_output_file = ''.join([fingerprint,'.csv'])
fingerprint_descriptortypes = fp[fingerprint]
padeldescriptor(mol_dir='dataset.smi',
d_file=fingerprint_output_file,
descriptortypes= fingerprint_descriptortypes,
detectaromaticity=True,
standardizenitro=True,
standardizetautomers=True,
threads=2,
removesalt=True,
log=True,
fingerprints=True)
return False
def do_CDKgraphonly(self, mol_dir):
"""CDKgraphonly [mol_dir]
Calculate the GraphOnlyFingerprinter fingerprint"""
from padelpy import padeldescriptor
import glob
xml_files = glob.glob("functions/descriptors/fingerprint_descriptors/*.xml")
xml_files.sort()
FP_list = ['AtomPairs2DCount',
'AtomPairs2D',
'EState',
'CDKextended',
'CDK',
'CDKgraphonly',
'KlekotaRothCount',
'KlekotaRoth',
'MACCS',
'PubChem',
'SubstructureCount',
'Substructure']
fp = dict(zip(FP_list, xml_files))
fingerprint = 'CDKgraphonly'
fingerprint_output_file = ''.join([fingerprint,'.csv'])
fingerprint_descriptortypes = fp[fingerprint]
padeldescriptor(mol_dir='dataset.smi',
d_file=fingerprint_output_file,
descriptortypes= fingerprint_descriptortypes,
detectaromaticity=True,
standardizenitro=True,
standardizetautomers=True,
threads=2,
removesalt=True,
log=True,
fingerprints=True)
return False
def do_KlekotaRothCount(self, mol_dir):
"""KlekotaRothCount [mol_dir]
Calculate the KlekotaRothFingerprintCount fingerprint"""
from padelpy import padeldescriptor
import glob
xml_files = glob.glob("functions/descriptors/fingerprint_descriptors/*.xml")
xml_files.sort()
FP_list = ['AtomPairs2DCount',
'AtomPairs2D',
'EState',
'CDKextended',
'CDK',
'CDKgraphonly',
'KlekotaRothCount',
'KlekotaRoth',
'MACCS',
'PubChem',
'SubstructureCount',
'Substructure']
fp = dict(zip(FP_list, xml_files))
fingerprint = 'KlekotaRothCount'
fingerprint_output_file = ''.join([fingerprint,'.csv'])
fingerprint_descriptortypes = fp[fingerprint]
padeldescriptor(mol_dir='dataset.smi',
d_file=fingerprint_output_file,
descriptortypes= fingerprint_descriptortypes,
detectaromaticity=True,
standardizenitro=True,
standardizetautomers=True,
threads=2,
removesalt=True,
log=True,
fingerprints=True)
return False
def do_KlekotaRoth(self, mol_dir):
"""KlekotaRoth [mol_dir]
Calculate the KlekotaRothFingerprinter fingerprint"""
from padelpy import padeldescriptor
import glob
xml_files = glob.glob("functions/descriptors/fingerprint_descriptors/*.xml")
xml_files.sort()
FP_list = ['AtomPairs2DCount',
'AtomPairs2D',
'EState',
'CDKextended',
'CDK',
'CDKgraphonly',
'KlekotaRothCount',
'KlekotaRoth',
'MACCS',
'PubChem',
'SubstructureCount',
'Substructure']
fp = dict(zip(FP_list, xml_files))
fingerprint = 'KlekotaRoth'
fingerprint_output_file = ''.join([fingerprint,'.csv'])
fingerprint_descriptortypes = fp[fingerprint]
padeldescriptor(mol_dir='dataset.smi',
d_file=fingerprint_output_file,
descriptortypes= fingerprint_descriptortypes,
detectaromaticity=True,
standardizenitro=True,
standardizetautomers=True,
threads=2,
removesalt=True,
log=True,
fingerprints=True)
return False
def do_MACCS(self, mol_dir):
"""MACCS [mol_dir]
Calculate the MACCSFingerprinter fingerprint"""
from padelpy import padeldescriptor
import glob
xml_files = glob.glob("functions/descriptors/fingerprint_descriptors/*.xml")
xml_files.sort()
FP_list = ['AtomPairs2DCount',
'AtomPairs2D',
'EState',
'CDKextended',
'CDK',
'CDKgraphonly',
'KlekotaRothCount',
'KlekotaRoth',
'MACCS',
'PubChem',
'SubstructureCount',
'Substructure']
fp = dict(zip(FP_list, xml_files))
fingerprint = 'MACCS'
fingerprint_output_file = ''.join([fingerprint,'.csv'])
fingerprint_descriptortypes = fp[fingerprint]
padeldescriptor(mol_dir='dataset.smi',
d_file=fingerprint_output_file,
descriptortypes= fingerprint_descriptortypes,
detectaromaticity=True,
standardizenitro=True,
standardizetautomers=True,
threads=2,
removesalt=True,
log=True,
fingerprints=True)
return False
def do_PubChem(self, mol_dir):
"""PubChem [mol_dir]
Calculate the PubChemFingerprinter fingerprint"""
from padelpy import padeldescriptor
import glob
xml_files = glob.glob("functions/descriptors/fingerprint_descriptors/*.xml")
xml_files.sort()
FP_list = ['AtomPairs2DCount',
'AtomPairs2D',
'EState',
'CDKextended',
'CDK',
'CDKgraphonly',
'KlekotaRothCount',
'KlekotaRoth',
'MACCS',
'PubChem',
'SubstructureCount',
'Substructure']
fp = dict(zip(FP_list, xml_files))
fingerprint = 'PubChem'
fingerprint_output_file = ''.join([fingerprint,'.csv'])
fingerprint_descriptortypes = fp[fingerprint]
padeldescriptor(mol_dir='dataset.smi',
d_file=fingerprint_output_file,
descriptortypes= fingerprint_descriptortypes,
detectaromaticity=True,
standardizenitro=True,
standardizetautomers=True,
threads=2,
removesalt=True,
log=True,
fingerprints=True)
return False
def do_SubstructureCount(self, mol_dir):
"""SubstructureCount [mol_dir]
Calculate the SubstructureFingerprintCount fingerprint"""
from padelpy import padeldescriptor
import glob
xml_files = glob.glob("functions/descriptors/fingerprint_descriptors/*.xml")
xml_files.sort()
FP_list = ['AtomPairs2DCount',
'AtomPairs2D',
'EState',
'CDKextended',
'CDK',
'CDKgraphonly',
'KlekotaRothCount',
'KlekotaRoth',
'MACCS',
'PubChem',
'SubstructureCount',
'Substructure']
fp = dict(zip(FP_list, xml_files))
fingerprint = 'SubstructureCount'
fingerprint_output_file = ''.join([fingerprint,'.csv'])
fingerprint_descriptortypes = fp[fingerprint]
padeldescriptor(mol_dir='dataset.smi',
d_file=fingerprint_output_file,
descriptortypes= fingerprint_descriptortypes,
detectaromaticity=True,
standardizenitro=True,
standardizetautomers=True,
threads=2,
removesalt=True,
log=True,
fingerprints=True)
return False
def do_Substructure(self, mol_dir):
"""Substructure [mol_dir]
Calculate the SubstructureFingerprinter fingerprint"""
from padelpy import padeldescriptor
import glob
xml_files = glob.glob("functions/descriptors/fingerprint_descriptors/*.xml")
xml_files.sort()
FP_list = ['AtomPairs2DCount',
'AtomPairs2D',
'EState',
'CDKextended',
'CDK',
'CDKgraphonly',
'KlekotaRothCount',
'KlekotaRoth',
'MACCS',
'PubChem',
'SubstructureCount',
'Substructure']
fp = dict(zip(FP_list, xml_files))
fingerprint = 'Substructure'
fingerprint_output_file = ''.join([fingerprint,'.csv'])
fingerprint_descriptortypes = fp[fingerprint]
padeldescriptor(mol_dir='dataset.smi',
d_file=fingerprint_output_file,
descriptortypes= fingerprint_descriptortypes,
detectaromaticity=True,
standardizenitro=True,
standardizetautomers=True,
threads=2,
removesalt=True,
log=True,
fingerprints=True)
return False
def close(self):
if self.file:
self.file.close()
self.file = None
def do_finish(self, arg):
"""finish [self, arg]
Finish running Fingerprint Descriptors and move on to the next descriptor."""
print('Moving on to the next descriptor...')
self.close()
return True
if __name__ == '__main__':
FingerprintFunctions().cmdloop() | 29.394928 | 172 | 0.543757 | 1,214 | 16,226 | 7.085667 | 0.083196 | 0.02511 | 0.058591 | 0.02511 | 0.838061 | 0.83562 | 0.829807 | 0.829807 | 0.829807 | 0.829807 | 0 | 0.004296 | 0.368729 | 16,226 | 552 | 173 | 29.394928 | 0.835497 | 0.058117 | 0 | 0.895522 | 0 | 0.002488 | 0.176194 | 0.040492 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037313 | false | 0 | 0.062189 | 0 | 0.136816 | 0.221393 | 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 |
832a2fbc5666efd2934fdd844ccc27f344e26811 | 21,271 | py | Python | google-cloud-sdk/platform/ext-runtime/java/test/runtime_test.py | bopopescu/searchparty | afdc2805cb1b77bd5ac9fdd1a76217f4841f0ea6 | [
"Apache-2.0"
] | 2 | 2019-11-10T09:17:07.000Z | 2019-12-18T13:44:08.000Z | google-cloud-sdk/platform/ext-runtime/java/test/runtime_test.py | bopopescu/searchparty | afdc2805cb1b77bd5ac9fdd1a76217f4841f0ea6 | [
"Apache-2.0"
] | 11 | 2020-02-29T02:51:12.000Z | 2022-03-30T23:20:08.000Z | google-cloud-sdk/platform/ext-runtime/java/test/runtime_test.py | bopopescu/searchparty | afdc2805cb1b77bd5ac9fdd1a76217f4841f0ea6 | [
"Apache-2.0"
] | 3 | 2017-07-27T18:44:13.000Z | 2020-07-25T17:48:53.000Z | #!/usr/bin/python
# Copyright 2015 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Tests of the java runtime."""
import logging
import mock
import os
import re
import sys
import shutil
import tempfile
import textwrap
import unittest
from gae_ext_runtime import testutil
from gae_ext_runtime import ext_runtime
# Augment the path with our library directory.
ROOT_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
sys.path.append(os.path.join(ROOT_DIR, 'lib'))
import constants
#from googlecloudsdk.third_party.appengine.api import appinfo
#from googlecloudsdk.core import log
#from googlecloudsdk.api_lib.app import ext_runtime
#from googlecloudsdk.api_lib.app.runtimes import fingerprinter
#from googlecloudsdk.api_lib.app.ext_runtimes import fingerprinting
RUNTIME_DEF_ROOT = os.path.dirname(os.path.dirname(__file__))
class RuntimeTests(testutil.TestBase):
def setUp(self):
self.runtime_def_root = RUNTIME_DEF_ROOT
super(RuntimeTests, self).setUp()
def assert_no_file(self, *path):
self.assertFalse(os.path.exists(self.full_path(*path)))
def make_app_yaml(self, runtime):
return 'env: flex\nruntime: {runtime}\n'.format(runtime=runtime)
def test_java_all_defaults(self):
self.write_file('foo.jar', '')
self.generate_configs()
self.assert_file_exists_with_contents('app.yaml',
self.make_app_yaml('java'))
self.assert_no_file('Dockerfile')
self.assert_no_file('.dockerignore')
self.generate_configs(deploy=True)
self.assert_file_exists_with_contents(
'.dockerignore',
self.read_runtime_def_file('data', 'dockerignore'))
dockerfile_contents = [
constants.DOCKERFILE_JAVA_PREAMBLE,
constants.DOCKERFILE_INSTALL_APP.format('foo.jar'),
constants.DOCKERFILE_JAVA8_JAR_CMD.format('foo.jar'),
]
self.assert_file_exists_with_contents('Dockerfile',
''.join(dockerfile_contents))
self.assertEqual(set(os.listdir(self.temp_path)),
{'.dockerignore', 'Dockerfile', 'app.yaml', 'foo.jar'})
def test_java_all_defaults_no_write(self):
"""Test generate_config_data after writing app.yaml."""
self.write_file('foo.jar', '')
self.generate_configs()
self.assert_file_exists_with_contents('app.yaml',
self.make_app_yaml('java'))
self.assert_no_file('Dockerfile')
self.assert_no_file('.dockerignore')
cfg_files = self.generate_config_data(deploy=True)
self.assert_genfile_exists_with_contents(
cfg_files,
'.dockerignore',
self.read_runtime_def_file('data', 'dockerignore'))
dockerfile_contents = [
constants.DOCKERFILE_JAVA_PREAMBLE,
constants.DOCKERFILE_INSTALL_APP.format('foo.jar'),
constants.DOCKERFILE_JAVA8_JAR_CMD.format('foo.jar'),
]
self.assert_genfile_exists_with_contents(
cfg_files,
'Dockerfile',
''.join(dockerfile_contents))
self.assertEqual(set(os.listdir(self.temp_path)),
{'app.yaml', 'foo.jar'})
def test_java_custom(self):
self.write_file('foo.jar', '')
self.generate_configs(deploy=False, custom=True)
self.assert_file_exists_with_contents('app.yaml',
self.make_app_yaml('custom'))
self.assert_file_exists_with_contents(
'.dockerignore',
self.read_runtime_def_file('data', 'dockerignore'))
dockerfile_contents = [
constants.DOCKERFILE_JAVA_PREAMBLE,
constants.DOCKERFILE_INSTALL_APP.format('foo.jar'),
constants.DOCKERFILE_JAVA8_JAR_CMD.format('foo.jar'),
]
self.assert_file_exists_with_contents('Dockerfile',
''.join(dockerfile_contents))
def test_java_custom_no_write(self):
"""Test generate_config_data with custom=True.
app.yaml should be written to disk. Also tests correct dockerfile
contents with a .jar.
"""
self.write_file('foo.jar', '')
cfg_files = self.generate_config_data(deploy=False, custom=True)
self.assert_file_exists_with_contents('app.yaml',
self.make_app_yaml('custom'))
self.assert_genfile_exists_with_contents(
cfg_files,
'.dockerignore',
self.read_runtime_def_file('data', 'dockerignore'))
dockerfile_contents = [
constants.DOCKERFILE_JAVA_PREAMBLE,
constants.DOCKERFILE_INSTALL_APP.format('foo.jar'),
constants.DOCKERFILE_JAVA8_JAR_CMD.format('foo.jar'),
]
self.assert_genfile_exists_with_contents(
cfg_files,
'Dockerfile',
''.join(dockerfile_contents))
def test_java_files_no_java(self):
self.write_file('foo.nojava', '')
self.assertFalse(self.generate_configs())
self.assertEqual(os.listdir(self.temp_path), ['foo.nojava'])
def test_java_files_with_war(self):
self.write_file('foo.war', '')
self.generate_configs()
self.assert_file_exists_with_contents('app.yaml',
self.make_app_yaml('java'))
self.assert_no_file('Dockerfile')
self.assert_no_file('.dockerignore')
self.generate_configs(deploy=True)
dockerfile_contents = [
constants.DOCKERFILE_JETTY_PREAMBLE,
constants.DOCKERFILE_INSTALL_WAR.format('foo.war'),
]
self.assert_file_exists_with_contents('Dockerfile',
''.join(dockerfile_contents))
self.assert_file_exists_with_contents(
'.dockerignore', self.read_runtime_def_file('data', 'dockerignore'))
def test_java_files_with_war_no_write(self):
"""Test generate_config_data Dockerfile contents with .war file."""
self.write_file('foo.war', '')
self.generate_configs()
self.assert_file_exists_with_contents('app.yaml',
self.make_app_yaml('java'))
self.assert_no_file('Dockerfile')
self.assert_no_file('.dockerignore')
cfg_files = self.generate_config_data(deploy=True)
dockerfile_contents = [
constants.DOCKERFILE_JETTY_PREAMBLE,
constants.DOCKERFILE_INSTALL_WAR.format('foo.war'),
]
self.assert_genfile_exists_with_contents(
cfg_files,
'Dockerfile',
''.join(dockerfile_contents))
self.assert_genfile_exists_with_contents(
cfg_files,
'.dockerignore',
self.read_runtime_def_file('data', 'dockerignore'))
def test_java_files_with_jar(self):
self.write_file('foo.jar', '')
self.generate_configs()
self.assert_file_exists_with_contents('app.yaml',
self.make_app_yaml('java'))
self.assert_no_file('Dockerfile')
self.assert_no_file('.dockerignore')
self.generate_configs(deploy=True)
dockerfile_contents = [
constants.DOCKERFILE_JAVA_PREAMBLE,
constants.DOCKERFILE_INSTALL_APP.format('foo.jar'),
constants.DOCKERFILE_JAVA8_JAR_CMD.format('foo.jar'),
]
self.assert_file_exists_with_contents('Dockerfile',
''.join(dockerfile_contents))
self.assert_file_exists_with_contents(
'.dockerignore',
self.read_runtime_def_file('data', 'dockerignore'))
def test_java_files_with_jar_no_write(self):
"""Test generate_config_data Dockerfile contents with .jar file."""
self.write_file('foo.jar', '')
self.generate_configs()
self.assert_file_exists_with_contents('app.yaml',
self.make_app_yaml('java'))
self.assert_no_file('Dockerfile')
self.assert_no_file('.dockerignore')
cfg_files = self.generate_config_data(deploy=True)
dockerfile_contents = [
constants.DOCKERFILE_JAVA_PREAMBLE,
constants.DOCKERFILE_INSTALL_APP.format('foo.jar'),
constants.DOCKERFILE_JAVA8_JAR_CMD.format('foo.jar'),
]
self.assert_genfile_exists_with_contents(
cfg_files,
'Dockerfile',
''.join(dockerfile_contents))
self.assert_genfile_exists_with_contents(
cfg_files,
'.dockerignore',
self.read_runtime_def_file('data', 'dockerignore'))
def test_java_files_with_webinf(self):
self.write_file('WEB-INF', '')
self.generate_configs()
self.assert_file_exists_with_contents('app.yaml',
self.make_app_yaml('java'))
self.assert_no_file('Dockerfile')
self.assert_no_file('.dockerignore')
self.generate_configs(deploy=True)
dockerfile_contents = [
constants.DOCKERFILE_COMPAT_PREAMBLE,
constants.DOCKERFILE_INSTALL_APP.format('.'),
]
self.assert_file_exists_with_contents('Dockerfile',
''.join(dockerfile_contents))
self.assert_file_exists_with_contents(
'.dockerignore',
self.read_runtime_def_file('data', 'dockerignore'))
def test_java_files_with_webinf_no_write(self):
"""Test generate_config_data Dockerfile contents with 'WEB-INF' file."""
self.write_file('WEB-INF', '')
self.generate_configs()
self.assert_file_exists_with_contents('app.yaml',
self.make_app_yaml('java'))
self.assert_no_file('Dockerfile')
self.assert_no_file('.dockerignore')
cfg_files = self.generate_config_data(deploy=True)
dockerfile_contents = [
constants.DOCKERFILE_COMPAT_PREAMBLE,
constants.DOCKERFILE_INSTALL_APP.format('.'),
]
self.assert_genfile_exists_with_contents(
cfg_files,
'Dockerfile',
''.join(dockerfile_contents))
self.assert_genfile_exists_with_contents(
cfg_files,
'.dockerignore',
self.read_runtime_def_file('data', 'dockerignore'))
def test_java_files_with_too_many_artifacts(self):
self.write_file('WEB-INF', '')
self.write_file('foo.jar', '')
errors = []
def ErrorFake(message):
errors.append(message)
with mock.patch.dict(ext_runtime._LOG_FUNCS, {'error': ErrorFake}):
self.assertFalse(self.generate_configs())
self.assertEqual(errors,
['Too many java artifacts to deploy (.jar, .war, or '
'Java Web App).'])
# TODO(b/63385240): cover the case were the app.yaml might not be called
# app.yaml. For example: "gen-config --config=foo.yaml <path>"
# will use foo.yaml
def test_java_files_with_war_and_yaml(self):
self.write_file('foo.war', '')
appinfo = testutil.AppInfoFake(
runtime='java',
env='flex',
runtime_config=dict(
jdk='openjdk8',
server='jetty9'))
self.generate_configs(appinfo=appinfo, deploy=True)
dockerfile_contents = [
constants.DOCKERFILE_JETTY_PREAMBLE,
constants.DOCKERFILE_INSTALL_WAR.format('foo.war'),
]
self.assert_file_exists_with_contents('Dockerfile',
''.join(dockerfile_contents))
self.assert_file_exists_with_contents(
'.dockerignore',
self.read_runtime_def_file('data', 'dockerignore'))
def test_java_files_with_war_and_yaml_no_write(self):
"""Test generate_config_data with .war and fake appinfo."""
self.write_file('foo.war', '')
appinfo = testutil.AppInfoFake(
runtime='java',
env='2',
runtime_config=dict(
jdk='openjdk8',
server='jetty9'))
cfg_files = self.generate_config_data(appinfo=appinfo, deploy=True)
dockerfile_contents = [
constants.DOCKERFILE_JETTY_PREAMBLE,
constants.DOCKERFILE_INSTALL_WAR.format('foo.war'),
]
self.assert_genfile_exists_with_contents(
cfg_files,
'Dockerfile',
''.join(dockerfile_contents))
self.assert_genfile_exists_with_contents(
cfg_files,
'.dockerignore',
self.read_runtime_def_file('data', 'dockerignore'))
def test_java_files_with_web_inf_and_yaml_and_env2(self):
self.write_file('WEB-INF', '')
config = testutil.AppInfoFake(
runtime='java',
env='2',
runtime_config=dict(
jdk='openjdk8',
server='jetty9'))
self.generate_configs(appinfo=config, deploy=True)
dockerfile_contents = [
constants.DOCKERFILE_COMPAT_PREAMBLE,
constants.DOCKERFILE_INSTALL_APP.format('.'),
]
self.assert_file_exists_with_contents('Dockerfile',
''.join(dockerfile_contents))
self.assert_file_exists_with_contents(
'.dockerignore',
self.read_runtime_def_file('data', 'dockerignore'))
def test_java_files_with_web_inf_and_yaml_and_env2_no_write(self):
"""Test generate_config_data with .war, fake appinfo, env=2."""
self.write_file('WEB-INF', '')
config = testutil.AppInfoFake(
runtime='java',
env='2',
runtime_config=dict(
jdk='openjdk8',
server='jetty9'))
cfg_files = self.generate_config_data(appinfo=config, deploy=True)
dockerfile_contents = [
constants.DOCKERFILE_COMPAT_PREAMBLE,
constants.DOCKERFILE_INSTALL_APP.format('.'),
]
self.assert_genfile_exists_with_contents(
cfg_files,
'Dockerfile',
''.join(dockerfile_contents))
self.assert_genfile_exists_with_contents(
cfg_files,
'.dockerignore',
self.read_runtime_def_file('data', 'dockerignore'))
def test_java_files_with_web_inf_and_yaml_and_no_env2(self):
self.write_file('WEB-INF', '')
config = testutil.AppInfoFake(
runtime='java',
vm=True,
runtime_config=dict(server='jetty9'))
self.generate_configs(appinfo=config, deploy=True)
dockerfile_contents = [
constants.DOCKERFILE_LEGACY_PREAMBLE,
constants.DOCKERFILE_INSTALL_APP.format('.'),
]
self.assert_file_exists_with_contents('Dockerfile',
''.join(dockerfile_contents))
self.assert_file_exists_with_contents(
'.dockerignore',
self.read_runtime_def_file('data', 'dockerignore'))
def test_java_files_with_web_inf_and_yaml_and_no_env2_no_write(self):
"""Test generate_config_data with .war, fake appinfo, env != 2."""
self.write_file('WEB-INF', '')
config = testutil.AppInfoFake(
runtime='java',
vm=True,
runtime_config=dict(server='jetty9'))
cfg_files = self.generate_config_data(appinfo=config, deploy=True)
dockerfile_contents = [
constants.DOCKERFILE_LEGACY_PREAMBLE,
constants.DOCKERFILE_INSTALL_APP.format('.'),
]
self.assert_genfile_exists_with_contents(
cfg_files,
'Dockerfile',
''.join(dockerfile_contents))
self.assert_genfile_exists_with_contents(
cfg_files,
'.dockerignore',
self.read_runtime_def_file('data', 'dockerignore'))
def test_java_files_with_web_inf_and_yaml_and_open_jdk8_no_env2(self):
self.write_file('WEB-INF', '')
config = testutil.AppInfoFake(
runtime='java',
vm=True,
runtime_config=dict(
jdk='openjdk8',
server='jetty9'))
self.generate_configs(appinfo=config, deploy=True)
dockerfile_contents = [
constants.DOCKERFILE_COMPAT_PREAMBLE,
constants.DOCKERFILE_INSTALL_APP.format('.'),
]
self.assert_file_exists_with_contents('Dockerfile',
''.join(dockerfile_contents))
self.assert_file_exists_with_contents(
'.dockerignore',
self.read_runtime_def_file('data', 'dockerignore'))
def test_java_files_with_web_inf_and_yaml_and_open_jdk8_no_env2_no_write(
self):
"""Test generate_config_data with WEB-INF file, fake appinfo."""
self.write_file('WEB-INF', '')
config = testutil.AppInfoFake(
runtime='java',
vm=True,
runtime_config=dict(
jdk='openjdk8',
server='jetty9'))
cfg_files = self.generate_config_data(appinfo=config, deploy=True)
dockerfile_contents = [
constants.DOCKERFILE_COMPAT_PREAMBLE,
constants.DOCKERFILE_INSTALL_APP.format('.'),
]
self.assert_genfile_exists_with_contents(
cfg_files,
'Dockerfile',
''.join(dockerfile_contents))
self.assert_genfile_exists_with_contents(
cfg_files,
'.dockerignore',
self.read_runtime_def_file('data', 'dockerignore'))
def test_java_files_with_config_error(self):
self.write_file('foo.war', '')
errors = []
def ErrorFake(message):
errors.append(message)
config = testutil.AppInfoFake(
runtime='java',
env='2',
runtime_config=dict(
jdk='openjdk9'))
with mock.patch.dict(ext_runtime._LOG_FUNCS, {'error': ErrorFake}):
self.assertFalse(self.generate_configs(appinfo=config, deploy=True))
self.assertEqual(errors, ['Unknown JDK : openjdk9.'])
def test_java_custom_runtime_field(self):
self.write_file('foo.jar', '')
config = testutil.AppInfoFake(
runtime='java',
env='2')
self.assertTrue(self.generate_configs(appinfo=config, deploy=True))
def test_java7_runtime(self):
self.write_file('WEB-INF', '')
config = testutil.AppInfoFake(
runtime='java7',
vm=True)
self.generate_configs(appinfo=config, deploy=True)
dockerfile_contents = [
constants.DOCKERFILE_LEGACY_PREAMBLE,
constants.DOCKERFILE_INSTALL_APP.format('.'),
]
self.assert_file_exists_with_contents('Dockerfile',
''.join(dockerfile_contents))
self.assert_file_exists_with_contents(
'.dockerignore',
self.read_runtime_def_file('data', 'dockerignore'))
def test_java7_runtime_no_write(self):
"""Test generate_config_data with java7 runtime."""
self.write_file('WEB-INF', '')
config = testutil.AppInfoFake(
runtime='java7',
vm=True)
cfg_files = self.generate_config_data(appinfo=config, deploy=True)
dockerfile_contents = [
constants.DOCKERFILE_LEGACY_PREAMBLE,
constants.DOCKERFILE_INSTALL_APP.format('.'),
]
self.assert_genfile_exists_with_contents(
cfg_files,
'Dockerfile',
''.join(dockerfile_contents))
self.assert_genfile_exists_with_contents(
cfg_files,
'.dockerignore',
self.read_runtime_def_file('data', 'dockerignore'))
def test_detect_appinfo_war(self):
self.write_file('foo.war', '')
configurator = self.detect()
self.assertEqual(configurator.generated_appinfo, {'runtime':'java',
'env': 'flex'})
def test_detect_appinfo_jar(self):
self.write_file('foo.jar', '')
configurator = self.detect()
self.assertEqual(configurator.generated_appinfo, {'runtime':'java',
'env': 'flex'})
if __name__ == '__main__':
unittest.main()
| 38.257194 | 80 | 0.610926 | 2,244 | 21,271 | 5.440731 | 0.096257 | 0.054058 | 0.073716 | 0.049144 | 0.860677 | 0.83848 | 0.828487 | 0.789172 | 0.78008 | 0.773364 | 0 | 0.003818 | 0.285882 | 21,271 | 555 | 81 | 38.326126 | 0.799934 | 0.081378 | 0 | 0.79684 | 0 | 0 | 0.092771 | 0 | 0 | 0 | 0 | 0.001802 | 0.17833 | 1 | 0.069977 | false | 0 | 0.027088 | 0.002257 | 0.10158 | 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 |
55e51fa0f5a5849a042fda350189be30365d702e | 11,355 | py | Python | tests/integration/conversations/v1/conversation/test_webhook.py | fefi95/twilio-python | b9bfea293b6133fe84d4d8d3ac4e2a75381c3881 | [
"MIT"
] | 1 | 2019-12-30T21:46:55.000Z | 2019-12-30T21:46:55.000Z | tests/integration/conversations/v1/conversation/test_webhook.py | fefi95/twilio-python | b9bfea293b6133fe84d4d8d3ac4e2a75381c3881 | [
"MIT"
] | null | null | null | tests/integration/conversations/v1/conversation/test_webhook.py | fefi95/twilio-python | b9bfea293b6133fe84d4d8d3ac4e2a75381c3881 | [
"MIT"
] | null | null | null | # coding=utf-8
r"""
This code was generated by
\ / _ _ _| _ _
| (_)\/(_)(_|\/| |(/_ v1.0.0
/ /
"""
from tests import IntegrationTestCase
from tests.holodeck import Request
from twilio.base.exceptions import TwilioException
from twilio.http.response import Response
class WebhookTestCase(IntegrationTestCase):
def test_list_request(self):
self.holodeck.mock(Response(500, ''))
with self.assertRaises(TwilioException):
self.client.conversations.v1.conversations(sid="CHXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX") \
.webhooks.list()
self.holodeck.assert_has_request(Request(
'get',
'https://conversations.twilio.com/v1/Conversations/CHXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX/Webhooks',
))
def test_read_full_response(self):
self.holodeck.mock(Response(
200,
'''
{
"meta": {
"page": 0,
"page_size": 5,
"first_page_url": "https://conversations.twilio.com/v1/Conversations/CHaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa/Webhooks?PageSize=5&Page=0",
"previous_page_url": null,
"url": "https://conversations.twilio.com/v1/Conversations/CHaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa/Webhooks?PageSize=5&Page=0",
"next_page_url": null,
"key": "webhooks"
},
"webhooks": [
{
"account_sid": "ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"conversation_sid": "CHaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"sid": "WHaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"target": "webhook",
"configuration": {
"url": "https://example.com",
"method": "get",
"filters": [
"onMessageSent",
"onConversationDestroyed"
]
},
"date_created": "2016-03-24T21:05:50Z",
"date_updated": "2016-03-24T21:05:50Z",
"url": "https://conversations.twilio.com/v1/Conversations/CHaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa/Webhooks/WHaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa"
},
{
"account_sid": "ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"conversation_sid": "CHaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"sid": "WHaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"target": "trigger",
"configuration": {
"url": "https://example.com",
"method": "post",
"filters": [
"keyword1",
"keyword2"
]
},
"date_created": "2016-03-24T21:05:50Z",
"date_updated": "2016-03-24T21:05:50Z",
"url": "https://conversations.twilio.com/v1/Conversations/CHaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa/Webhooks/WHaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa"
},
{
"account_sid": "ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"conversation_sid": "CHaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"sid": "WHaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"target": "studio",
"configuration": {
"flow_sid": "FWaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa"
},
"date_created": "2016-03-24T21:05:50Z",
"date_updated": "2016-03-24T21:05:50Z",
"url": "https://conversations.twilio.com/v1/Conversations/CHaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa/Webhooks/WHaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa"
}
]
}
'''
))
actual = self.client.conversations.v1.conversations(sid="CHXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX") \
.webhooks.list()
self.assertIsNotNone(actual)
def test_read_empty_response(self):
self.holodeck.mock(Response(
200,
'''
{
"meta": {
"page": 0,
"page_size": 5,
"first_page_url": "https://conversations.twilio.com/v1/Conversations/CHaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa/Webhooks?PageSize=5&Page=0",
"url": "https://conversations.twilio.com/v1/Conversations/CHaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa/Webhooks?PageSize=5&Page=0",
"previous_page_url": null,
"next_page_url": null,
"key": "webhooks"
},
"webhooks": []
}
'''
))
actual = self.client.conversations.v1.conversations(sid="CHXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX") \
.webhooks.list()
self.assertIsNotNone(actual)
def test_fetch_request(self):
self.holodeck.mock(Response(500, ''))
with self.assertRaises(TwilioException):
self.client.conversations.v1.conversations(sid="CHXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX") \
.webhooks(sid="WHXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX").fetch()
self.holodeck.assert_has_request(Request(
'get',
'https://conversations.twilio.com/v1/Conversations/CHXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX/Webhooks/WHXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX',
))
def test_fetch_response(self):
self.holodeck.mock(Response(
200,
'''
{
"account_sid": "ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"conversation_sid": "CHaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"sid": "WHaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"target": "studio",
"configuration": {
"flow_sid": "FWaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa"
},
"date_created": "2016-03-24T21:05:50Z",
"date_updated": "2016-03-24T21:05:50Z",
"url": "https://conversations.twilio.com/v1/Conversations/CHaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa/Webhooks/WHaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa"
}
'''
))
actual = self.client.conversations.v1.conversations(sid="CHXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX") \
.webhooks(sid="WHXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX").fetch()
self.assertIsNotNone(actual)
def test_create_request(self):
self.holodeck.mock(Response(500, ''))
with self.assertRaises(TwilioException):
self.client.conversations.v1.conversations(sid="CHXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX") \
.webhooks.create(target="webhook")
values = {'Target': "webhook", }
self.holodeck.assert_has_request(Request(
'post',
'https://conversations.twilio.com/v1/Conversations/CHXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX/Webhooks',
data=values,
))
def test_create_response(self):
self.holodeck.mock(Response(
201,
'''
{
"account_sid": "ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"conversation_sid": "CHaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"sid": "WHaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"target": "webhook",
"configuration": {
"url": "https://example.com",
"method": "get",
"filters": [
"onMessageSent",
"onConversationDestroyed"
]
},
"date_created": "2016-03-24T21:05:50Z",
"date_updated": "2016-03-24T21:05:50Z",
"url": "https://conversations.twilio.com/v1/Conversations/CHaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa/Webhooks/WHaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa"
}
'''
))
actual = self.client.conversations.v1.conversations(sid="CHXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX") \
.webhooks.create(target="webhook")
self.assertIsNotNone(actual)
def test_update_request(self):
self.holodeck.mock(Response(500, ''))
with self.assertRaises(TwilioException):
self.client.conversations.v1.conversations(sid="CHXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX") \
.webhooks(sid="WHXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX").update()
self.holodeck.assert_has_request(Request(
'post',
'https://conversations.twilio.com/v1/Conversations/CHXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX/Webhooks/WHXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX',
))
def test_update_response(self):
self.holodeck.mock(Response(
200,
'''
{
"account_sid": "ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"conversation_sid": "CHaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"sid": "WHaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"target": "trigger",
"configuration": {
"url": "https://example.com",
"method": "post",
"filters": [
"keyword1",
"keyword2"
]
},
"date_created": "2016-03-24T21:05:50Z",
"date_updated": "2016-03-24T21:05:51Z",
"url": "https://conversations.twilio.com/v1/Conversations/CHaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa/Webhooks/WHaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa"
}
'''
))
actual = self.client.conversations.v1.conversations(sid="CHXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX") \
.webhooks(sid="WHXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX").update()
self.assertIsNotNone(actual)
def test_delete_request(self):
self.holodeck.mock(Response(500, ''))
with self.assertRaises(TwilioException):
self.client.conversations.v1.conversations(sid="CHXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX") \
.webhooks(sid="WHXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX").delete()
self.holodeck.assert_has_request(Request(
'delete',
'https://conversations.twilio.com/v1/Conversations/CHXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX/Webhooks/WHXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX',
))
def test_delete_response(self):
self.holodeck.mock(Response(
204,
None,
))
actual = self.client.conversations.v1.conversations(sid="CHXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX") \
.webhooks(sid="WHXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX").delete()
self.assertTrue(actual)
| 42.52809 | 161 | 0.534478 | 733 | 11,355 | 8.166439 | 0.136426 | 0.065152 | 0.06014 | 0.067658 | 0.937688 | 0.922987 | 0.90578 | 0.89442 | 0.89442 | 0.89442 | 0 | 0.033957 | 0.359401 | 11,355 | 266 | 162 | 42.68797 | 0.788974 | 0.009599 | 0 | 0.75 | 1 | 0 | 0.238809 | 0.115508 | 0 | 0 | 0 | 0 | 0.166667 | 1 | 0.114583 | false | 0 | 0.041667 | 0 | 0.166667 | 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 |
3601e350149b1e27892fc3fa8ad8b3325e22f7fb | 23,729 | py | Python | mayan/apps/user_management/tests/test_api.py | nattangwiwat/Mayan-EDMS-recitation | fcf16afb56eae812fb99144d65ae1ae6749de0b7 | [
"Apache-2.0"
] | 343 | 2015-01-05T14:19:35.000Z | 2018-12-10T19:07:48.000Z | mayan/apps/user_management/tests/test_api.py | nattangwiwat/Mayan-EDMS-recitation | fcf16afb56eae812fb99144d65ae1ae6749de0b7 | [
"Apache-2.0"
] | 191 | 2015-01-03T00:48:19.000Z | 2018-11-30T09:10:25.000Z | mayan/apps/user_management/tests/test_api.py | nattangwiwat/Mayan-EDMS-recitation | fcf16afb56eae812fb99144d65ae1ae6749de0b7 | [
"Apache-2.0"
] | 257 | 2019-05-14T10:26:37.000Z | 2022-03-30T03:37:36.000Z | from django.contrib.auth import get_user_model
from django.contrib.auth.models import Group
from rest_framework import status
from mayan.apps.rest_api.tests.base import BaseAPITestCase
from ..events import (
event_group_created, event_group_edited, event_user_created,
event_user_edited
)
from ..permissions import (
permission_group_create, permission_group_delete,
permission_group_edit, permission_group_view,
permission_user_create, permission_user_delete,
permission_user_edit, permission_user_view
)
from .mixins import (
GroupAPIViewTestMixin, GroupTestMixin, GroupUserAPIViewTestMixin,
UserAPIViewTestMixin, UserGroupAPIViewTestMixin
)
class GroupAPITestCase(
GroupAPIViewTestMixin, GroupTestMixin, BaseAPITestCase
):
def test_group_create_api_view_no_permission(self):
group_count = Group.objects.count()
self._clear_events()
response = self._request_test_group_create_api_view()
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
self.assertEqual(Group.objects.count(), group_count)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_group_create_api_view_with_permission(self):
self.grant_permission(permission=permission_group_create)
group_count = Group.objects.count()
self._clear_events()
response = self._request_test_group_create_api_view()
self.assertEqual(response.status_code, status.HTTP_201_CREATED)
self.assertEqual(Group.objects.count(), group_count + 1)
events = self._get_test_events()
self.assertEqual(events.count(), 1)
self.assertEqual(events[0].action_object, None)
self.assertEqual(events[0].actor, self._test_case_user)
self.assertEqual(events[0].target, self.test_group)
self.assertEqual(events[0].verb, event_group_created.id)
def test_group_delete_api_view_no_permission(self):
self._create_test_group()
group_count = Group.objects.count()
self._clear_events()
response = self._request_test_group_delete_api_view()
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
self.assertEqual(Group.objects.count(), group_count)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_group_delete_api_view_with_access(self):
self._create_test_group()
self.grant_access(
obj=self.test_group, permission=permission_group_delete
)
group_count = Group.objects.count()
self._clear_events()
response = self._request_test_group_delete_api_view()
self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)
self.assertEqual(Group.objects.count(), group_count - 1)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_group_detail_api_view_no_permission(self):
self._create_test_group()
self._clear_events()
response = self._request_test_group_detail_api_view()
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_group_detail_api_view_with_access(self):
self._create_test_group()
self.grant_access(
obj=self.test_group, permission=permission_group_view
)
self._clear_events()
response = self._request_test_group_detail_api_view()
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(response.data['id'], self.test_group.id)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_group_edit_api_view_via_patch_no_permission(self):
self._create_test_group()
group_name = self.test_group.name
self._clear_events()
response = self._request_test_group_edit_patch_api_view()
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
self.test_group.refresh_from_db()
self.assertEqual(self.test_group.name, group_name)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_group_edit_api_view_via_patch_with_access(self):
self._create_test_group()
self.grant_access(
obj=self.test_group, permission=permission_group_edit
)
group_name = self.test_group.name
self._clear_events()
response = self._request_test_group_edit_patch_api_view()
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.test_group.refresh_from_db()
self.assertNotEqual(self.test_group.name, group_name)
events = self._get_test_events()
self.assertEqual(events.count(), 1)
self.assertEqual(events[0].action_object, None)
self.assertEqual(events[0].actor, self._test_case_user)
self.assertEqual(events[0].target, self.test_group)
self.assertEqual(events[0].verb, event_group_edited.id)
def test_group_edit_api_view_via_put_no_permission(self):
self._create_test_group()
group_name = self.test_group.name
self._clear_events()
response = self._request_test_group_edit_put_api_view()
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
self.test_group.refresh_from_db()
self.assertEqual(self.test_group.name, group_name)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_group_edit_api_view_via_put_with_access(self):
self._create_test_group()
self.grant_access(
obj=self.test_group, permission=permission_group_edit
)
group_name = self.test_group.name
self._clear_events()
response = self._request_test_group_edit_put_api_view()
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.test_group.refresh_from_db()
self.assertNotEqual(self.test_group.name, group_name)
events = self._get_test_events()
self.assertEqual(events.count(), 1)
self.assertEqual(events[0].action_object, None)
self.assertEqual(events[0].actor, self._test_case_user)
self.assertEqual(events[0].target, self.test_group)
self.assertEqual(events[0].verb, event_group_edited.id)
def test_group_list_api_view_no_permission(self):
self._create_test_group()
self._clear_events()
response = self._request_test_group_list_api_view()
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(response.data['count'], 0)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_group_list_api_view_with_access(self):
self._create_test_group()
self.grant_access(
obj=self.test_group, permission=permission_group_view
)
self._clear_events()
response = self._request_test_group_list_api_view()
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(response.data['results'][0]['id'], self.test_group.id)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
class GroupUserAPIViewTestCase(
GroupTestMixin, GroupUserAPIViewTestMixin, BaseAPITestCase
):
def setUp(self):
super().setUp()
self._create_test_group()
self._create_test_user()
def test_group_user_add_api_view_no_permission(self):
self._clear_events()
response = self._request_test_group_user_add_api_view()
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
self.assertTrue(self.test_user not in self.test_group.user_set.all())
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_group_user_add_api_view_with_group_access(self):
self.grant_access(
obj=self.test_group, permission=permission_group_edit
)
self._clear_events()
response = self._request_test_group_user_add_api_view()
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
self.assertTrue(self.test_user not in self.test_group.user_set.all())
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_group_user_add_api_view_with_user_access(self):
self.grant_access(
obj=self.test_user, permission=permission_user_edit
)
self._clear_events()
response = self._request_test_group_user_add_api_view()
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
self.assertTrue(self.test_user not in self.test_group.user_set.all())
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_group_user_add_api_view_with_full_access(self):
self.grant_access(
obj=self.test_group, permission=permission_group_edit
)
self.grant_access(
obj=self.test_user, permission=permission_user_edit
)
self._clear_events()
response = self._request_test_group_user_add_api_view()
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertTrue(self.test_user in self.test_group.user_set.all())
events = self._get_test_events()
self.assertEqual(events.count(), 1)
self.assertEqual(events[0].action_object, self.test_user)
self.assertEqual(events[0].actor, self._test_case_user)
self.assertEqual(events[0].target, self.test_group)
self.assertEqual(events[0].verb, event_group_edited.id)
def test_group_user_list_api_view_no_permission(self):
self.test_user.groups.add(self.test_group)
self._clear_events()
response = self._request_test_group_user_list_api_view()
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_group_user_list_api_view_with_group_access(self):
self.test_user.groups.add(self.test_group)
self.grant_access(
obj=self.test_group, permission=permission_group_view
)
self._clear_events()
response = self._request_test_group_user_list_api_view()
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(response.data['count'], 0)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_group_user_list_api_view_with_user_access(self):
self.test_user.groups.add(self.test_group)
self.grant_access(obj=self.test_user, permission=permission_user_view)
self._clear_events()
response = self._request_test_group_user_list_api_view()
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_group_user_list_api_view_with_full_access(self):
self.test_user.groups.add(self.test_group)
self.grant_access(
obj=self.test_group, permission=permission_group_view
)
self.grant_access(obj=self.test_user, permission=permission_user_view)
self._clear_events()
response = self._request_test_group_user_list_api_view()
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(
response.data['results'][0]['username'], self.test_user.username
)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_group_user_remove_api_view_no_permission(self):
self.test_user.groups.add(self.test_group)
self._clear_events()
response = self._request_test_group_user_remove_api_view()
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
self.assertTrue(self.test_user in self.test_group.user_set.all())
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_group_user_remove_api_view_with_group_access(self):
self.test_user.groups.add(self.test_group)
self.grant_access(
obj=self.test_group, permission=permission_group_edit
)
self._clear_events()
response = self._request_test_group_user_remove_api_view()
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
self.assertTrue(self.test_user in self.test_group.user_set.all())
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_group_user_remove_api_view_with_user_access(self):
self.test_user.groups.add(self.test_group)
self.grant_access(
obj=self.test_user, permission=permission_user_edit
)
self._clear_events()
response = self._request_test_group_user_remove_api_view()
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
self.assertTrue(self.test_user in self.test_group.user_set.all())
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_group_user_remove_api_view_with_full_access(self):
self.test_user.groups.add(self.test_group)
self.grant_access(
obj=self.test_group, permission=permission_group_edit
)
self.grant_access(
obj=self.test_user, permission=permission_user_edit
)
self._clear_events()
response = self._request_test_group_user_remove_api_view()
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertFalse(self.test_user in self.test_group.user_set.all())
events = self._get_test_events()
self.assertEqual(events.count(), 1)
self.assertEqual(events[0].action_object, self.test_user)
self.assertEqual(events[0].actor, self._test_case_user)
self.assertEqual(events[0].target, self.test_group)
self.assertEqual(events[0].verb, event_group_edited.id)
class UserAPIViewTestCase(UserAPIViewTestMixin, BaseAPITestCase):
def test_user_create_api_view_no_permission(self):
user_count = get_user_model().objects.count()
self._clear_events()
response = self._request_test_user_create_api_view()
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
self.assertEqual(get_user_model().objects.count(), user_count)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_user_create_api_view_with_permission(self):
self.grant_permission(permission=permission_user_create)
user_count = get_user_model().objects.count()
self._clear_events()
response = self._request_test_user_create_api_view()
self.assertEqual(response.status_code, status.HTTP_201_CREATED)
self.assertEqual(get_user_model().objects.count(), user_count + 1)
events = self._get_test_events()
self.assertEqual(events.count(), 1)
self.assertEqual(events[0].action_object, None)
self.assertEqual(events[0].actor, self._test_case_user)
self.assertEqual(events[0].target, self.test_user)
self.assertEqual(events[0].verb, event_user_created.id)
def test_user_delete_api_view_no_permission(self):
self._create_test_user()
user_count = get_user_model().objects.count()
self._clear_events()
response = self._request_test_user_delete_api_view()
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
self.assertEqual(get_user_model().objects.count(), user_count)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_user_delete_api_view_with_access(self):
self._create_test_user()
self.grant_access(
obj=self.test_user, permission=permission_user_delete
)
user_count = get_user_model().objects.count()
self._clear_events()
response = self._request_test_user_delete_api_view()
self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)
self.assertEqual(get_user_model().objects.count(), user_count - 1)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_user_detail_api_view_no_permission(self):
self._create_test_user()
self._clear_events()
response = self._request_test_user_detail_api_view()
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_user_detail_api_view_with_access(self):
self._create_test_user()
self.grant_access(
obj=self.test_user, permission=permission_user_view
)
self._clear_events()
response = self._request_test_user_detail_api_view()
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(
response.data['username'], self.test_user.username
)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_user_edit_patch_api_view_no_permission(self):
self._create_test_user()
user_username = self.test_user.username
self._clear_events()
response = self._request_test_user_edit_patch_api_view()
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
self.test_user.refresh_from_db()
self.assertEqual(self.test_user.username, user_username)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_user_edit_patch_api_view_with_access(self):
self._create_test_user()
self.grant_access(
obj=self.test_user, permission=permission_user_edit
)
user_username = self.test_user.username
self._clear_events()
response = self._request_test_user_edit_patch_api_view()
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.test_user.refresh_from_db()
self.assertNotEqual(self.test_user.username, user_username)
events = self._get_test_events()
self.assertEqual(events.count(), 1)
self.assertEqual(events[0].action_object, None)
self.assertEqual(events[0].actor, self._test_case_user)
self.assertEqual(events[0].target, self.test_user)
self.assertEqual(events[0].verb, event_user_edited.id)
def test_user_edit_put_api_view_no_permission(self):
self._create_test_user()
user_username = self.test_user.username
self._clear_events()
response = self._request_test_user_edit_put_api_view()
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
self.test_user.refresh_from_db()
self.assertEqual(self.test_user.username, user_username)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_user_edit_put_api_view_with_access(self):
self._create_test_user()
self.grant_access(
obj=self.test_user, permission=permission_user_edit
)
user_username = self.test_user.username
self._clear_events()
response = self._request_test_user_edit_put_api_view()
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.test_user.refresh_from_db()
self.assertNotEqual(self.test_user.username, user_username)
events = self._get_test_events()
self.assertEqual(events.count(), 1)
self.assertEqual(events[0].action_object, None)
self.assertEqual(events[0].actor, self._test_case_user)
self.assertEqual(events[0].target, self.test_user)
self.assertEqual(events[0].verb, event_user_edited.id)
def test_user_password_change_api_view_no_permission(self):
self._create_test_user()
password_hash = self.test_user.password
self._clear_events()
response = self._request_test_user_password_change_api_view()
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
self.test_user.refresh_from_db()
self.assertEqual(self.test_user.password, password_hash)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_user_password_change_api_view_with_access(self):
self._create_test_user()
self.grant_access(
obj=self.test_user, permission=permission_user_edit
)
password_hash = self.test_user.password
self._clear_events()
response = self._request_test_user_password_change_api_view()
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.test_user.refresh_from_db()
self.assertNotEqual(self.test_user.password, password_hash)
events = self._get_test_events()
self.assertEqual(events.count(), 1)
self.assertEqual(events[0].action_object, None)
self.assertEqual(events[0].actor, self._test_case_user)
self.assertEqual(events[0].target, self.test_user)
self.assertEqual(events[0].verb, event_user_edited.id)
class UserGroupAPIViewTestCase(
UserGroupAPIViewTestMixin, GroupTestMixin, BaseAPITestCase
):
def setUp(self):
super().setUp()
self._create_test_group()
self._create_test_user()
def test_user_group_list_api_view_no_permission(self):
self.test_group.user_set.add(self.test_user)
self._clear_events()
response = self._request_test_user_group_list_api_view()
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_user_group_list_api_view_with_user_access(self):
self.test_group.user_set.add(self.test_user)
self.grant_access(
obj=self.test_user, permission=permission_user_view
)
self._clear_events()
response = self._request_test_user_group_list_api_view()
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(response.data['count'], 0)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_user_group_list_api_view_with_group_access(self):
self.test_group.user_set.add(self.test_user)
self.grant_access(
obj=self.test_group, permission=permission_group_view
)
self._clear_events()
response = self._request_test_user_group_list_api_view()
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_user_group_list_api_view_with_full_access(self):
self.test_group.user_set.add(self.test_user)
self.grant_access(
obj=self.test_group, permission=permission_group_view
)
self.grant_access(
obj=self.test_user, permission=permission_user_view
)
self._clear_events()
response = self._request_test_user_group_list_api_view()
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(
response.data['results'][0]['name'], self.test_group.name
)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
| 32.865651 | 79 | 0.702937 | 3,038 | 23,729 | 5.05497 | 0.034233 | 0.133815 | 0.103927 | 0.059908 | 0.943869 | 0.943088 | 0.935013 | 0.929934 | 0.925637 | 0.916129 | 0 | 0.010917 | 0.204771 | 23,729 | 721 | 80 | 32.911234 | 0.802915 | 0 | 0 | 0.77459 | 0 | 0 | 0.002529 | 0 | 0 | 0 | 0 | 0 | 0.307377 | 1 | 0.086066 | false | 0.016393 | 0.014344 | 0 | 0.108607 | 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 |
36463bbb888a68bf58b9c46a72ab3d5f375e5dfb | 17,964 | py | Python | src/azure-cli/azure/cli/command_modules/servicefabric/tests/latest/test_sf_managed_application.py | GalGrinblat/azure-cli | b30b9cf9f90d01b9b6708cc56b82e32cd7182dae | [
"MIT"
] | 7 | 2020-04-26T09:54:05.000Z | 2021-07-22T16:54:41.000Z | src/azure-cli/azure/cli/command_modules/servicefabric/tests/latest/test_sf_managed_application.py | GalGrinblat/azure-cli | b30b9cf9f90d01b9b6708cc56b82e32cd7182dae | [
"MIT"
] | 3 | 2021-10-08T01:49:53.000Z | 2021-11-18T02:54:40.000Z | src/azure-cli/azure/cli/command_modules/servicefabric/tests/latest/test_sf_managed_application.py | GalGrinblat/azure-cli | b30b9cf9f90d01b9b6708cc56b82e32cd7182dae | [
"MIT"
] | 13 | 2020-06-30T16:23:36.000Z | 2022-03-29T17:12:05.000Z | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------------------------------
import unittest
from azure.cli.command_modules.servicefabric.tests.latest.test_util import (
_create_cluster_with_separate_kv,
_create_managed_cluster,
_wait_for_managed_cluster_state_ready)
from azure.cli.core.util import CLIError
from azure.cli.testsdk import ScenarioTest, LiveScenarioTest, ResourceGroupPreparer
from azure.cli.core.azclierror import ResourceNotFoundError
class ServiceFabricManagedApplicationTests(ScenarioTest):
@ResourceGroupPreparer()
def test_managed_app_type(self):
self.kwargs.update({
'cert_tp': '123BDACDCDFB2C7B250192C6078E47D1E1DB119B',
'loc': 'eastasia',
'cluster_name': self.create_random_name('sfrp-cli-', 24),
'vm_password': self.create_random_name('Pass@', 9),
'app_type_name': 'VotingType',
'v1': '1.0.0',
'app_package_v1': 'https://sfmconeboxst.blob.core.windows.net/managed-application-deployment/Voting.sfpkg',
'v2': '2.0.0',
'app_package_v2': 'https://sfmconeboxst.blob.core.windows.net/managed-application-deployment/Voting.2.0.0.sfpkg',
'app_name': self.create_random_name('testApp', 11),
'stateful_service_type': 'VotingDataType',
'stateless_service_type': 'VotingWebType',
'stateful_service_name': self.create_random_name("testSvc", 20),
'stateless_service_name': self.create_random_name("testSvc2", 20),
'tags': 'key1=value1 key2=value2',
'new_tags': 'key2=value3'
})
_create_managed_cluster(self, self.kwargs)
_wait_for_managed_cluster_state_ready(self, self.kwargs)
# List
self.cmd('az sf managed-application-type list -g {rg} -c {cluster_name}',
checks=[self.is_empty()])
# Create
app_type = self.cmd('az sf managed-application-type create -g {rg} -c {cluster_name} --application-type-name {app_type_name} --tags {tags}',
checks=[self.check('provisioningState', 'Succeeded')]).get_output_in_json()
# Show
self.cmd('az sf managed-application-type show -g {rg} -c {cluster_name} --application-type-name {app_type_name}',
checks=[self.check('id', app_type['id']), self.check('tags', app_type['tags'])])
# Update
updated_app_type = self.cmd('az sf managed-application-type update -g {rg} -c {cluster_name} --application-type-name {app_type_name} --tags {new_tags}',
checks=[self.check('provisioningState', 'Succeeded')]).get_output_in_json()
# Show
self.cmd('az sf managed-application-type show -g {rg} -c {cluster_name} --application-type-name {app_type_name}',
checks=[self.check('id', updated_app_type['id']), self.check('tags', updated_app_type['tags'])])
# Delete
self.cmd('az sf managed-application-type delete -g {rg} -c {cluster_name} --application-type-name {app_type_name}')
# SystemExit 3 'not found'
with self.assertRaisesRegexp(SystemExit, '3'):
self.cmd('az sf managed-application-type show -g {rg} -c {cluster_name} --application-type-name {app_type_name}')
@ResourceGroupPreparer()
def test_managed_app_type_version(self):
self.kwargs.update({
'cert_tp': '123BDACDCDFB2C7B250192C6078E47D1E1DB119B',
'loc': 'eastasia',
'cluster_name': self.create_random_name('sfrp-cli-', 24),
'vm_password': self.create_random_name('Pass@', 9),
'app_type_name': 'VotingType',
'v1': '1.0.0',
'app_package_v1': 'https://sfmconeboxst.blob.core.windows.net/managed-application-deployment/Voting.sfpkg',
'v2': '2.0.0',
'app_package_v2': 'https://sfmconeboxst.blob.core.windows.net/managed-application-deployment/Voting.2.0.0.sfpkg',
'app_name': self.create_random_name('testApp', 11),
'stateful_service_type': 'VotingDataType',
'stateless_service_type': 'VotingWebType',
'stateful_service_name': self.create_random_name("testSvc", 20),
'stateless_service_name': self.create_random_name("testSvc2", 20),
'tags': 'key1=value1 key2=value2',
'new_tags': 'key2=value3'
})
_create_managed_cluster(self, self.kwargs)
_wait_for_managed_cluster_state_ready(self, self.kwargs)
# 'not found'
with self.assertRaisesRegexp(Exception, r'\(NotFound\).+not found.'):
self.cmd('az sf managed-application-type version list -g {rg} -c {cluster_name} --application-type-name {app_type_name}')
# Create
app_type_version = self.cmd('az sf managed-application-type version create -g {rg} -c {cluster_name} '
'--application-type-name {app_type_name} --version {v1} --package-url {app_package_v1} --tags {tags}',
checks=[self.check('provisioningState', 'Succeeded')]).get_output_in_json()
# Show
self.cmd('az sf managed-application-type version show -g {rg} -c {cluster_name} --application-type-name {app_type_name} --version {v1}',
checks=[self.check('id', app_type_version['id']), self.check('tags', app_type_version['tags'])])
# Update
updated_app_type_version = self.cmd('az sf managed-application-type version update -g {rg} -c {cluster_name} --application-type-name {app_type_name} --version {v1} --tags {new_tags}',
checks=[self.check('provisioningState', 'Succeeded')]).get_output_in_json()
# Show
self.cmd('az sf managed-application-type version show -g {rg} -c {cluster_name} --application-type-name {app_type_name} --version {v1}',
checks=[self.check('id', updated_app_type_version['id']), self.check('tags', updated_app_type_version['tags'])])
# Delete
self.cmd('az sf managed-application-type version delete -g {rg} -c {cluster_name} --application-type-name {app_type_name} --version {v1}')
# SystemExit 3 'not found'
with self.assertRaisesRegex(SystemExit, '3'):
self.cmd('az sf managed-application-type version show -g {rg} -c {cluster_name} --application-type-name {app_type_name} --version {v1}')
@ResourceGroupPreparer()
def test_managed_application(self):
updated_version = '2.0.0'
self.kwargs.update({
'cert_tp': '123BDACDCDFB2C7B250192C6078E47D1E1DB119B',
'loc': 'eastasia',
'cluster_name': self.create_random_name('sfrp-cli-', 24),
'vm_password': self.create_random_name('Pass@', 9),
'app_type_name': 'VotingType',
'v1': '1.0.0',
'app_package_v1': 'https://sfmconeboxst.blob.core.windows.net/managed-application-deployment/Voting.sfpkg',
'v2': updated_version,
'app_package_v2': 'https://sfmconeboxst.blob.core.windows.net/managed-application-deployment/Voting.2.0.0.sfpkg',
'app_name': self.create_random_name('testApp', 11),
'stateful_service_type': 'VotingDataType',
'stateless_service_type': 'VotingWebType',
'stateful_service_name': self.create_random_name("testSvc", 20),
'stateless_service_name': self.create_random_name("testSvc2", 20),
'tags': 'key1=value1 key2=value2',
'new_tags': 'key2=value3'
})
_create_managed_cluster(self, self.kwargs)
_wait_for_managed_cluster_state_ready(self, self.kwargs)
# List Apps
self.cmd('az sf managed-application list -g {rg} -c {cluster_name}',
checks=[self.is_empty()])
# Create App
app = self.cmd('az sf managed-application create -g {rg} -c {cluster_name} --application-name {app_name} '
'--application-type-name {app_type_name} --application-type-version {v1} --package-url {app_package_v1}',
checks=[self.check('provisioningState', 'Succeeded')]).get_output_in_json()
# Show App
self.cmd('az sf managed-application show -g {rg} -c {cluster_name} --application-name {app_name}',
checks=[self.check('id', app['id'])])
# Create Stateless Service
stateless_service = self.cmd('az sf managed-service create -g {rg} -c {cluster_name} --application-name {app_name} --state stateless --instance-count -1 '
'--service-name {stateless_service_name} --service-type {stateless_service_type} --partition-scheme singleton',
checks=[self.check('properties.provisioningState', 'Succeeded')]).get_output_in_json()
# Show Stateless Service
self.cmd('az sf managed-service show -g {rg} -c {cluster_name} --application-name {app_name} --service-name {stateless_service_name}',
checks=[self.check('id', stateless_service['id'])])
# Create New App Type
self.cmd('az sf managed-application-type version create -g {rg} -c {cluster_name} '
'--application-type-name {app_type_name} --version {v2} --package-url {app_package_v2}',
checks=[self.check('provisioningState', 'Succeeded')])
# Update Application
updated_app = self.cmd('az sf managed-application update -g {rg} -c {cluster_name} --application-name {app_name} --application-type-version {v2} '
'--health-check-stable-duration 0 --health-check-wait-duration 0 --health-check-retry-timeout 0 '
'--upgrade-domain-timeout 5000 --upgrade-timeout 7000 --failure-action Rollback --upgrade-replica-set-check-timeout 300 --force-restart',
checks=[self.check('provisioningState', 'Succeeded'),
self.check('upgradePolicy.forceRestart', True),
self.check('upgradePolicy.upgradeReplicaSetCheckTimeout', '300'),
self.check('upgradePolicy.rollingUpgradeMonitoringPolicy.healthCheckRetryTimeout', '00:00:00'),
self.check('upgradePolicy.rollingUpgradeMonitoringPolicy.healthCheckWaitDuration', '00:00:00'),
self.check('upgradePolicy.rollingUpgradeMonitoringPolicy.healthCheckStableDuration', '00:00:00'),
self.check('upgradePolicy.rollingUpgradeMonitoringPolicy.upgradeTimeout', '01:56:40'),
self.check('upgradePolicy.rollingUpgradeMonitoringPolicy.upgradeDomainTimeout', '01:23:20'),
self.check('upgradePolicy.rollingUpgradeMonitoringPolicy.failureAction', 'Rollback')]).get_output_in_json()
assert updated_app['version'].endswith(updated_version)
# Delete Application
self.cmd('az sf managed-application delete -g {rg} -c {cluster_name} --application-name {app_name}')
# Delete Application Type
self.cmd('az sf managed-application-type delete -g {rg} -c {cluster_name} --application-type-name {app_type_name}')
# SystemExit 3 'not found'
with self.assertRaisesRegex(SystemExit, '3'):
self.cmd('az sf managed-application show -g {rg} -c {cluster_name} --application-name {app_name}')
@ResourceGroupPreparer()
def test_managed_service(self):
self.kwargs.update({
'cert_tp': '123BDACDCDFB2C7B250192C6078E47D1E1DB119B',
'loc': 'eastasia',
'cluster_name': self.create_random_name('sfrp-cli-', 24),
'vm_password': self.create_random_name('Pass@', 9),
'app_type_name': 'VotingType',
'v1': '1.0.0',
'app_package_v1': 'https://sfmconeboxst.blob.core.windows.net/managed-application-deployment/Voting.sfpkg',
'v2': '2.0.0',
'app_package_v2': 'https://sfmconeboxst.blob.core.windows.net/managed-application-deployment/Voting.2.0.0.sfpkg',
'app_name': self.create_random_name('testApp', 11),
'stateful_service_type': 'VotingDataType',
'stateless_service_type': 'VotingWebType',
'stateful_service_name': self.create_random_name("testSvc", 20),
'stateless_service_name': self.create_random_name("testSvc2", 20),
'tags': 'key1=value1 key2=value2',
'new_tags': 'key2=value3',
'service_placement_time_limit': '00:11:00',
'standby_replica_keep_duration': '00:11:00',
'quorum_loss_wait_duration': '00:11:00',
'replica_restart_wait_duration': '00:11:00',
'min_instance_count': 2,
'min_instance_percentage': 20,
})
_create_managed_cluster(self, self.kwargs)
_wait_for_managed_cluster_state_ready(self, self.kwargs)
# Create App
self.cmd('az sf managed-application create -g {rg} -c {cluster_name} --application-name {app_name} '
'--application-type-name {app_type_name} --application-type-version {v1} --package-url {app_package_v1}',
checks=[self.check('provisioningState', 'Succeeded')])
# List Services
self.cmd('az sf managed-service list -g {rg} -c {cluster_name} --application-name {app_name}',
checks=[self.is_empty()])
# Create Stateful Service
stateful_service = self.cmd('az sf managed-service create -g {rg} -c {cluster_name} --application-name {app_name} --state stateful --min-replica-set-size 2 '
'--target-replica-set-size 3 --service-name {stateful_service_name} --service-type {stateful_service_type} --has-persisted-state '
'--partition-scheme uniformint64range --partition-count 1 --low-key 0 --high-key 25',
checks=[self.check('properties.provisioningState', 'Succeeded')]).get_output_in_json()
# Show Stateful Service
self.cmd('az sf managed-service show -g {rg} -c {cluster_name} --application-name {app_name} --service-name {stateful_service_name}',
checks=[self.check('id', stateful_service['id'])])
# Create Stateless Service
stateless_service = self.cmd('az sf managed-service create -g {rg} -c {cluster_name} --application-name {app_name} --state stateless --instance-count -1 '
'--service-name {stateless_service_name} --service-type {stateless_service_type} --partition-scheme singleton',
checks=[self.check('properties.provisioningState', 'Succeeded')]).get_output_in_json()
# Show Stateless Service
self.cmd('az sf managed-service show -g {rg} -c {cluster_name} --application-name {app_name} --service-name {stateless_service_name}',
checks=[self.check('id', stateless_service['id'])])
# Update Stateful Service
self.cmd('az sf managed-service update -g {rg} -c {cluster_name} --application-name {app_name} --service-name {stateful_service_name} '
'--service-placement-time-limit {service_placement_time_limit} --stand-by-replica-keep-duration {standby_replica_keep_duration} '
'--replica-restart-wait-duration {replica_restart_wait_duration} --quorum-loss-wait-duration {quorum_loss_wait_duration}',
checks=[self.check('properties.provisioningState', 'Succeeded'),
self.check('properties.servicePlacementTimeLimit', '00:11:00'),
self.check('properties.standByReplicaKeepDuration', '00:11:00'),
self.check('properties.quorumLossWaitDuration', '00:11:00'),
self.check('properties.replicaRestartWaitDuration', '00:11:00')])
# Update Stateless Service
self.cmd('az sf managed-service update -g {rg} -c {cluster_name} --application-name {app_name} --service-name {stateless_service_name} '
'--min-instance-count {min_instance_count} --min-instance-percentage {min_instance_percentage} ',
checks=[self.check('properties.provisioningState', 'Succeeded'),
self.check('properties.minInstanceCount', '2'),
self.check('properties.minInstancePercentage', '20')])
# Delete Stateless Service
self.cmd('az sf managed-service delete -g {rg} -c {cluster_name} --application-name {app_name} --service-name {stateless_service_name}')
# Delete Stateful Service
self.cmd('az sf managed-service delete -g {rg} -c {cluster_name} --application-name {app_name} --service-name {stateful_service_name}')
# Delete Application
self.cmd('az sf managed-application delete -g {rg} -c {cluster_name} --application-name {app_name}')
# Delete Application Type
self.cmd('az sf managed-application-type delete -g {rg} -c {cluster_name} --application-type-name {app_type_name}')
# SystemExit 3 'not found'
with self.assertRaisesRegex(SystemExit, '3'):
self.cmd('az sf managed-service show -g {rg} -c {cluster_name} --application-name {app_name} --service-name {stateful_service_name}')
# SystemExit 3 'not found'
with self.assertRaisesRegex(SystemExit, '3'):
self.cmd('az sf managed-service show -g {rg} -c {cluster_name} --application-name {app_name} --service-name {stateless_service_name}')
if __name__ == '__main__':
unittest.main()
| 68.827586 | 191 | 0.626086 | 2,020 | 17,964 | 5.360891 | 0.100495 | 0.042663 | 0.031582 | 0.0386 | 0.819651 | 0.789177 | 0.750392 | 0.714009 | 0.705051 | 0.678456 | 0 | 0.024512 | 0.230127 | 17,964 | 260 | 192 | 69.092308 | 0.758496 | 0.05344 | 0 | 0.594059 | 0 | 0.252475 | 0.529981 | 0.188255 | 0 | 0 | 0 | 0 | 0.034653 | 1 | 0.019802 | false | 0.019802 | 0.024752 | 0 | 0.049505 | 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 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
36a83051d5a0c1d4af23beebf50ad36bff456481 | 46,387 | py | Python | tests/testflows/rbac/tests/privileges/alter/alter_row_policy.py | chalice19/ClickHouse | 2f38e7bc5c2113935ab86260439bb543a1737291 | [
"Apache-2.0"
] | 1 | 2022-02-27T15:21:20.000Z | 2022-02-27T15:21:20.000Z | tests/testflows/rbac/tests/privileges/alter/alter_row_policy.py | chalice19/ClickHouse | 2f38e7bc5c2113935ab86260439bb543a1737291 | [
"Apache-2.0"
] | 16 | 2022-02-14T15:53:29.000Z | 2022-03-25T18:39:16.000Z | tests/testflows/rbac/tests/privileges/alter/alter_row_policy.py | chalice19/ClickHouse | 2f38e7bc5c2113935ab86260439bb543a1737291 | [
"Apache-2.0"
] | null | null | null | from testflows.core import *
from testflows.asserts import error
from rbac.requirements import *
from rbac.helper.common import *
import rbac.helper.errors as errors
@TestSuite
def privileges_granted_directly(self, node=None):
"""Check that a user is able to execute `ALTER ROW POLICY` with privileges are granted directly."""
user_name = f"user_{getuid()}"
if node is None:
node = self.context.node
with user(node, f"{user_name}"):
Suite(
run=alter_row_policy,
examples=Examples(
"privilege grant_target_name user_name",
[
tuple(list(row) + [user_name, user_name])
for row in alter_row_policy.examples
],
args=Args(name="privilege={privilege}", format_name=True),
),
)
@TestSuite
def privileges_granted_via_role(self, node=None):
"""Check that a user is able to execute `ALTER ROW POLICY` with privileges are granted through a role."""
user_name = f"user_{getuid()}"
role_name = f"role_{getuid()}"
if node is None:
node = self.context.node
with user(node, f"{user_name}"), role(node, f"{role_name}"):
with When("I grant the role to the user"):
node.query(f"GRANT {role_name} TO {user_name}")
Suite(
run=alter_row_policy,
examples=Examples(
"privilege grant_target_name user_name",
[
tuple(list(row) + [role_name, user_name])
for row in alter_row_policy.examples
],
args=Args(name="privilege={privilege}", format_name=True),
),
)
@TestOutline(Suite)
@Examples(
"privilege",
[
("ALL",),
("ACCESS MANAGEMENT",),
("ALTER ROW POLICY",),
("ALTER POLICY",),
],
)
def alter_row_policy(self, privilege, grant_target_name, user_name, node=None):
"""Check that user is only able to execute `ALTER ROW POLICY` when they have the necessary privilege."""
exitcode, message = errors.not_enough_privileges(name=user_name)
if node is None:
node = self.context.node
with Scenario("ALTER ROW POLICY without privilege"):
alter_row_policy_name = f"alter_row_policy_{getuid()}"
table_name = f"table_name_{getuid()}"
try:
with Given("I have a row policy"):
node.query(f"CREATE ROW POLICY {alter_row_policy_name} ON {table_name}")
with When("I grant the user NONE privilege"):
node.query(f"GRANT NONE TO {grant_target_name}")
with And("I grant the user USAGE privilege"):
node.query(f"GRANT USAGE ON *.* TO {grant_target_name}")
with Then("I check the user can't alter a row policy"):
node.query(
f"ALTER ROW POLICY {alter_row_policy_name} ON {table_name}",
settings=[("user", user_name)],
exitcode=exitcode,
message=message,
)
finally:
with Finally("I drop the row policy"):
node.query(
f"DROP ROW POLICY IF EXISTS {alter_row_policy_name} ON {table_name}"
)
with Scenario("ALTER ROW POLICY with privilege"):
alter_row_policy_name = f"alter_row_policy_{getuid()}"
table_name = f"table_name_{getuid()}"
try:
with Given("I have a row policy"):
node.query(f"CREATE ROW POLICY {alter_row_policy_name} ON {table_name}")
with When(f"I grant {privilege}"):
node.query(f"GRANT {privilege} ON *.* TO {grant_target_name}")
with Then("I check the user can alter a row policy"):
node.query(
f"ALTER ROW POLICY {alter_row_policy_name} ON {table_name}",
settings=[("user", f"{user_name}")],
)
finally:
with Finally("I drop the row policy"):
node.query(
f"DROP ROW POLICY IF EXISTS {alter_row_policy_name} ON {table_name}"
)
with Scenario("ALTER ROW POLICY on cluster"):
alter_row_policy_name = f"alter_row_policy_{getuid()}"
table_name = f"table_name_{getuid()}"
try:
with Given("I have a row policy on a cluster"):
node.query(
f"CREATE ROW POLICY {alter_row_policy_name} ON CLUSTER sharded_cluster ON {table_name}"
)
with When(f"I grant {privilege}"):
node.query(f"GRANT {privilege} ON *.* TO {grant_target_name}")
with Then("I check the user can alter a row policy"):
node.query(
f"ALTER ROW POLICY {alter_row_policy_name} ON CLUSTER sharded_cluster ON {table_name}",
settings=[("user", f"{user_name}")],
)
finally:
with Finally("I drop the user"):
node.query(
f"DROP ROW POLICY IF EXISTS {alter_row_policy_name} ON CLUSTER sharded_cluster ON {table_name}"
)
with Scenario("ALTER ROW POLICY with revoked privilege"):
alter_row_policy_name = f"alter_row_policy_{getuid()}"
table_name = f"table_name_{getuid()}"
try:
with Given("I have a row policy"):
node.query(f"CREATE ROW POLICY {alter_row_policy_name} ON {table_name}")
with When(f"I grant {privilege} on the database"):
node.query(f"GRANT {privilege} ON *.* TO {grant_target_name}")
with And(f"I revoke {privilege} on the database"):
node.query(f"REVOKE {privilege} ON *.* FROM {grant_target_name}")
with Then("I check the user cannot alter row policy"):
node.query(
f"ALTER ROW POLICY {alter_row_policy_name} ON {table_name}",
settings=[("user", user_name)],
exitcode=exitcode,
message=message,
)
finally:
with Finally("I drop the row policy"):
node.query(
f"DROP ROW POLICY IF EXISTS {alter_row_policy_name} ON {table_name}"
)
@TestScenario
@Requirements(RQ_SRS_006_RBAC_RowPolicy_Restriction("1.0"))
def no_grants(self, node=None):
"""Check that user is unable to select from a table without a row policy
after a row policy has been altered to have a condition.
"""
table_name = f"table_{getuid()}"
pol_name = f"pol_{getuid()}"
if node is None:
node = self.context.node
with table(node, table_name):
with Given("I have a row policy"):
row_policy(name=pol_name, table=table_name)
with When("The table has some values"):
node.query(f"INSERT INTO {table_name} (y) VALUES (1)")
with Then("I try to select from the table"):
output = node.query(f"SELECT * FROM {table_name}").output
assert "1" in output, error()
with When("I alter the row policy to have a condition"):
node.query(f"ALTER POLICY {pol_name} ON {table_name} FOR SELECT USING 1")
with Then("I try to select from the table"):
output = node.query(f"SELECT * FROM {table_name}").output
assert "" == output, error()
@TestScenario
@Requirements(
RQ_SRS_006_RBAC_RowPolicy_Alter_Access_Permissive("1.0"),
)
def permissive(self, node=None):
"""Check that user is able to see from a table when they have a PERMISSIVE policy."""
table_name = f"table_{getuid()}"
pol_name = f"pol_{getuid()}"
if node is None:
node = self.context.node
with table(node, table_name):
with Given("I have a row policy"):
row_policy(name=pol_name, table=table_name)
with And("The table has some values"):
node.query(f"INSERT INTO {table_name} (y) VALUES (1), (2)")
with When("I alter a row policy to be permissive"):
node.query(
f"ALTER ROW POLICY {pol_name} ON {table_name} AS PERMISSIVE FOR SELECT USING y=1 TO default"
)
with Then("I try to select from the table"):
output = node.query(f"SELECT * FROM {table_name}").output
assert "1" in output and "2" not in output, error()
@TestScenario
@Requirements(RQ_SRS_006_RBAC_RowPolicy_Alter_Access_Restrictive("1.0"))
def restrictive(self, node=None):
"""Check that user is able to see values they have a RESTRICTIVE policy for."""
table_name = f"table_{getuid()}"
perm_pol_name = f"perm_pol_{getuid()}"
pol_name = f"pol_{getuid()}"
if node is None:
node = self.context.node
with table(node, table_name):
with Given("I have a row policy"):
row_policy(name=pol_name, table=table_name)
with And("I have a second row policy"):
row_policy(name=perm_pol_name, table=table_name)
with And("I alter a row policy to be permissive"):
node.query(
f"ALTER ROW POLICY {perm_pol_name} ON {table_name} FOR SELECT USING y=1 OR y=2 TO default"
)
with And("I alter a row policy to be restrictive"):
node.query(
f"ALTER ROW POLICY {pol_name} ON {table_name} AS RESTRICTIVE FOR SELECT USING y=1 TO default"
)
with When("The table has some values"):
node.query(f"INSERT INTO {table_name} (y) VALUES (1), (2)")
with Then("I try to select from the table"):
output = node.query(f"SELECT * FROM {table_name}").output
assert "1" in output and "2" not in output, error()
@TestScenario
@Requirements(
RQ_SRS_006_RBAC_RowPolicy_Alter_ForSelect("1.0"),
)
def for_select(self, node=None):
"""Check that user is able to see values allowed by the row policy condition in the FOR SELECT clause."""
table_name = f"table_{getuid()}"
pol_name = f"pol_{getuid()}"
if node is None:
node = self.context.node
with table(node, table_name):
with Given("I have a row policy"):
row_policy(name=pol_name, table=table_name)
with And("The table has some values"):
node.query(f"INSERT INTO {table_name} (y) VALUES (1)")
with Given("I alter therow policy to use FOR SELECT"):
node.query(
f"Alter ROW POLICY {pol_name} ON {table_name} FOR SELECT USING 1 TO default"
)
with Then("I try to select from the table"):
output = node.query(f"SELECT * FROM {table_name}").output
assert "1" in output, error()
@TestScenario
@Requirements(RQ_SRS_006_RBAC_RowPolicy_Alter_Condition("1.0"))
def condition(self, node=None):
"""Check that user is able to see values allowed by the row policy condition."""
table_name = f"table_{getuid()}"
pol_name = f"pol_{getuid()}"
if node is None:
node = self.context.node
with table(node, table_name):
with Given("I have a row policy"):
row_policy(name=pol_name, table=table_name)
with And("The table has some values"):
node.query(f"INSERT INTO {table_name} (y) VALUES (1),(2)")
with When("I alter a row policy to be permissive"):
node.query(
f"ALTER ROW POLICY {pol_name} ON {table_name} FOR SELECT USING y=1 TO default"
)
with Then("I try to select from the table"):
output = node.query(f"SELECT * FROM {table_name}").output
assert "1" in output, error()
@TestScenario
@Requirements(RQ_SRS_006_RBAC_RowPolicy_Alter_Condition_None("1.0"))
def remove_condition(self, node=None):
"""Check that user is able to see the table after row policy condition has been removed."""
table_name = f"table_{getuid()}"
pol_name = f"pol_{getuid()}"
if node is None:
node = self.context.node
with table(node, table_name):
with Given("I have a row policy"):
row_policy(name=pol_name, table=table_name)
with And("The row policy has a condition"):
node.query(
f"ALTER ROW POLICY {pol_name} ON {table_name} FOR SELECT USING 1"
)
with And("The table has some values"):
node.query(f"INSERT INTO {table_name} (y) VALUES (1)")
with When("I alter a row policy to not have a condition"):
node.query(
f"ALTER ROW POLICY {pol_name} ON {table_name} FOR SELECT USING NONE"
)
with Then("I try to select from the table"):
output = node.query(f"SELECT * FROM {table_name}").output
assert "1" in output, error()
@TestScenario
@Requirements(RQ_SRS_006_RBAC_RowPolicy_Alter_IfExists("1.0"))
def if_exists(self, node=None):
"""Check that a row policy altered using IF EXISTS restricts rows as expected."""
table_name = f"table_{getuid()}"
pol_name = f"pol_{getuid()}"
if node is None:
node = self.context.node
with table(node, table_name):
with Given("I have a row policy"):
row_policy(name=pol_name, table=table_name)
with And("The table has some values"):
node.query(f"INSERT INTO {table_name} (y) VALUES (1)")
with When("I have alter a row policy to be permissive using IF EXISTS clause"):
node.query(
f"ALTER ROW POLICY IF EXISTS {pol_name} ON {table_name} FOR SELECT USING 1 TO default"
)
with Then("I select from the table"):
output = node.query(f"SELECT * FROM {table_name}").output
assert "1" in output, error()
@TestScenario
@Requirements(RQ_SRS_006_RBAC_RowPolicy_Alter_Rename("1.0"))
def rename(self, node=None):
"""Check that a row policy altered using RENAME restricts rows as expected."""
table_name = f"table_{getuid()}"
pol_name = f"pol_{getuid()}"
pol_new_name = f"pol_new_{getuid()}"
if node is None:
node = self.context.node
with table(node, table_name):
try:
with Given("I have a row policy"):
row_policy(name=pol_name, table=table_name)
with And("The table has some values"):
node.query(f"INSERT INTO {table_name} (y) VALUES (1)")
with And("The row policy is permissive"):
node.query(
f"ALTER ROW POLICY {pol_name} ON {table_name} FOR SELECT USING y=1 TO default"
)
with When("I have alter a row policy by renaming it"):
node.query(
f"ALTER ROW POLICY {pol_name} ON {table_name} RENAME TO {pol_new_name}"
)
with Then("I select from the table"):
output = node.query(f"SELECT * FROM {table_name}").output
assert "1" in output, error()
finally:
with Finally("I drop the row policy"):
node.query(f"DROP ROW POLICY IF EXISTS {pol_new_name} ON {table_name}")
@TestScenario
@Requirements(RQ_SRS_006_RBAC_RowPolicy_Alter_OnCluster("1.0"))
def on_cluster(self, node=None):
"""Check that a row policy altered using ON CLUSTER applies to the nodes of the cluster correctly."""
table_name = f"table_{getuid()}"
pol_name = f"pol_{getuid()}"
if node is None:
node = self.context.node
node2 = self.context.node2
try:
with Given("I have a table on a cluster"):
node.query(
f"CREATE TABLE {table_name} ON CLUSTER sharded_cluster (x UInt64) ENGINE = Memory"
)
with And("I have a row policy on a cluster on that table"):
node.query(
f"CREATE ROW POLICY {pol_name} ON CLUSTER sharded_cluster ON {table_name}"
)
with And("The table has some values on the first node"):
node.query(f"INSERT INTO {table_name} (x) VALUES (1)")
with And("The table has some values on the second node"):
node2.query(f"INSERT INTO {table_name} (x) VALUES (1)")
with When("I alter the row policy to have a condition"):
node.query(
f"ALTER ROW POLICY {pol_name} ON CLUSTER sharded_cluster ON {table_name} FOR SELECT USING 1"
)
with Then("I select from the table"):
output = node.query(f"SELECT * FROM {table_name}").output
assert "" == output, error()
with And("I select from another node on the cluster"):
output = node2.query(f"SELECT * FROM {table_name}").output
assert "" == output, error()
finally:
with Finally("I drop the row policy", flags=TE):
node.query(
f"DROP ROW POLICY IF EXISTS {pol_name} ON CLUSTER sharded_cluster ON {table_name}"
)
with And("I drop the table", flags=TE):
node.query(f"DROP TABLE {table_name} ON CLUSTER sharded_cluster")
@TestScenario
def diff_policies_on_diff_nodes(self, node=None):
"""Check that a row policy altered on a node, does not effect row policy on a different node."""
table_name = f"table_{getuid()}"
pol_name = f"pol_{getuid()}"
if node is None:
node = self.context.node
node2 = self.context.node2
try:
with Given("I have a table on a cluster"):
node.query(
f"CREATE TABLE {table_name} ON CLUSTER sharded_cluster (x UInt64) ENGINE = Memory"
)
with And("I have a row policy on the cluster"):
node.query(
f"CREATE ROW POLICY {pol_name} ON CLUSTER sharded_cluster ON {table_name}"
)
with And("The table has some values on the first node"):
node.query(f"INSERT INTO {table_name} (x) VALUES (1)")
with And("The table has some values on the second node"):
node2.query(f"INSERT INTO {table_name} (x) VALUES (1)")
with When("I alter the row policy on the first node"):
node.query(
f"ALTER ROW POLICY {pol_name} ON {table_name} FOR SELECT USING 1"
)
with Then("I select from the table"):
output = node.query(f"SELECT * FROM {table_name}").output
assert "" == output, error()
with And("I select from another node on the cluster"):
output = node2.query(f"SELECT * FROM {table_name}").output
assert "1" in output, error()
finally:
with Finally("I drop the row policy", flags=TE):
node.query(
f"DROP ROW POLICY IF EXISTS {pol_name} ON CLUSTER sharded_cluster ON {table_name}"
)
with And("I drop the table", flags=TE):
node.query(f"DROP TABLE {table_name} ON CLUSTER sharded_cluster")
@TestScenario
@Requirements(
RQ_SRS_006_RBAC_RowPolicy_Alter_Assignment("1.0"),
)
def assignment(self, node=None):
"""Check that user is able to see rows from a table when they have PERMISSIVE policy assigned to them."""
table_name = f"table_{getuid()}"
pol_name = f"pol_{getuid()}"
if node is None:
node = self.context.node
with table(node, table_name):
with Given("I have a row policy"):
row_policy(name=pol_name, table=table_name)
with And("The row policy is permissive"):
node.query(
f"ALTER ROW POLICY {pol_name} ON {table_name} FOR SELECT USING 1"
)
with And("The table has some values"):
node.query(f"INSERT INTO {table_name} (y) VALUES (1)")
with When("I alter a row policy to be assigned to default"):
node.query(f"ALTER ROW POLICY {pol_name} ON {table_name} TO default")
with Then("I try to select from the table"):
output = node.query(f"SELECT * FROM {table_name}").output
assert "1" in output, error()
@TestScenario
@Requirements(
RQ_SRS_006_RBAC_RowPolicy_Alter_Assignment_None("1.0"),
)
def assignment_none(self, node=None):
"""Check that no one is affected when a row policy is altered to be assigned to NONE."""
table_name = f"table_{getuid()}"
pol_name = f"pol_{getuid()}"
if node is None:
node = self.context.node
with table(node, table_name):
with Given("I have a row policy"):
row_policy(name=pol_name, table=table_name)
with And("The row policy is permissive"):
node.query(
f"ALTER ROW POLICY {pol_name} ON {table_name} FOR SELECT USING 1"
)
with And("The table has some values"):
node.query(f"INSERT INTO {table_name} (y) VALUES (1)")
with When("I alter a row policy to be assigned to NONE"):
node.query(f"ALTER ROW POLICY {pol_name} ON {table_name} TO NONE")
with Then("I try to select from the table"):
output = node.query(f"SELECT * FROM {table_name}").output
assert "" == output, error()
@TestScenario
@Requirements(
RQ_SRS_006_RBAC_RowPolicy_Alter_Assignment_All("1.0"),
)
def assignment_all(self, node=None):
"""Check that everyone is effected with a row policy is altered to be assigned to ALL."""
table_name = f"table_{getuid()}"
pol_name = f"pol_{getuid()}"
if node is None:
node = self.context.node
with table(node, table_name):
with Given("I have a row policy"):
row_policy(name=pol_name, table=table_name)
with And("The row policy is permissive"):
node.query(
f"ALTER ROW POLICY {pol_name} ON {table_name} FOR SELECT USING 1"
)
with And("The table has some values"):
node.query(f"INSERT INTO {table_name} (y) VALUES (1)")
with When("I alter a row policy to be assigned to ALL"):
node.query(f"ALTER ROW POLICY {pol_name} ON {table_name} TO ALL")
with Then("I try to select from the table"):
output = node.query(f"SELECT * FROM {table_name}").output
assert "1" in output, error()
@TestScenario
@Requirements(
RQ_SRS_006_RBAC_RowPolicy_Alter_Assignment_AllExcept("1.0"),
)
def assignment_all_except(self, node=None):
"""Check that everyone is except the specified user is effect by a row policy is altered to be assigned to ALL EXCEPT."""
table_name = f"table_{getuid()}"
pol_name = f"pol_{getuid()}"
if node is None:
node = self.context.node
with table(node, table_name):
with Given("I have a row policy"):
row_policy(name=pol_name, table=table_name)
with And("The row policy is permissive"):
node.query(
f"ALTER ROW POLICY {pol_name} ON {table_name} FOR SELECT USING 1"
)
with And("The table has some values"):
node.query(f"INSERT INTO {table_name} (y) VALUES (1)")
with When("I alter a row policy to be assigned to ALL EXCEPT default"):
node.query(
f"ALTER ROW POLICY {pol_name} ON {table_name} TO ALL EXCEPT default"
)
with Then("I try to select from the table"):
output = node.query(f"SELECT * FROM {table_name}").output
assert "" == output, error()
@TestScenario
@Requirements(RQ_SRS_006_RBAC_RowPolicy_Nesting("1.0"))
def nested_view(self, node=None):
"""Check that if a user has a row policy on a table and a view is altered to use a condition on that table,
the user is only able to access the rows specified by the assigned policies.
"""
table_name = f"table_{getuid()}"
view_name = f"view_{getuid()}"
pol_name = f"pol_{getuid()}"
if node is None:
node = self.context.node
with table(node, table_name):
try:
with Given("I have a row policy"):
row_policy(name=pol_name, table=table_name)
with And("The table has some values"):
node.query(f"INSERT INTO {table_name} (y) VALUES (1),(2)")
with And("There is a view on the table"):
node.query(f"CREATE VIEW {view_name} AS SELECT * FROM {table_name}")
with When("I alter the row policy to be permissive"):
node.query(
f"ALTER ROW POLICY {pol_name} ON {table_name} FOR SELECT USING y=1 TO default"
)
with Then("I try to select from the view"):
output = node.query(f"SELECT * FROM {view_name}").output
assert "1" in output and "2" not in output, error()
finally:
with Finally("I drop the view", flags=TE):
node.query(f"DROP VIEW IF EXISTS {view_name}")
@TestScenario
@Requirements(RQ_SRS_006_RBAC_RowPolicy_Nesting("1.0"))
def nested_live_view_before_policy(self, node=None):
"""Check that if a live view exists on a table and then a row policy is created,
the user is only able to select rows specified by the assigned policies from the view.
"""
table_name = f"table_{getuid()}"
view_name = f"view_{getuid()}"
pol_name = f"pol_{getuid()}"
if node is None:
node = self.context.node
with table(node, table_name):
try:
with Given(
"I add allow_experimental_live_view to the default query settings"
):
default_query_settings = getsattr(
current().context, "default_query_settings", []
)
default_query_settings.append(("allow_experimental_live_view", 1))
with And("I have a row policy"):
row_policy(name=pol_name, table=table_name)
with And("The table has some values"):
node.query(f"INSERT INTO {table_name} (y) VALUES (1),(2)")
with And("There exists a live view on the table"):
node.query(
f"CREATE LIVE VIEW {view_name} AS SELECT * FROM {table_name}"
)
with When("I alter the row policy to be permissive"):
node.query(
f"ALTER ROW POLICY {pol_name} ON {table_name} FOR SELECT USING y=1 TO default"
)
with Then("I try to select from the view"):
output = node.query(f"SELECT * FROM {view_name}").output
assert "1" in output and "2" not in output, error()
finally:
with Finally("I drop the live view", flags=TE):
node.query(f"DROP VIEW IF EXISTS {view_name}")
with And(
"I remove allow_experimental_live_view from the default query settings",
flags=TE,
):
if default_query_settings:
try:
default_query_settings.pop(
default_query_settings.index(
("allow_experimental_live_view", 1)
)
)
except ValueError:
pass
@TestScenario
@Requirements(RQ_SRS_006_RBAC_RowPolicy_Nesting("1.0"))
def nested_live_view_after_policy(self, node=None):
"""Check that if a user has a row policy on a table and a materialized view is created on that table,
the user is only able to select rows specified by the assigned policies from the view.
"""
table_name = f"table_{getuid()}"
view_name = f"view_{getuid()}"
pol_name = f"pol_{getuid()}"
if node is None:
node = self.context.node
with table(node, table_name):
try:
with Given(
"I add allow_experimental_live_view to the default query settings"
):
default_query_settings = getsattr(
current().context, "default_query_settings", []
)
default_query_settings.append(("allow_experimental_live_view", 1))
with And("I have a row policy"):
row_policy(name=pol_name, table=table_name)
with And("The table has some values"):
node.query(f"INSERT INTO {table_name} (y) VALUES (1),(2)")
with When("I alter the row policy to be permissive"):
node.query(
f"ALTER ROW POLICY {pol_name} ON {table_name} FOR SELECT USING y=1 TO default"
)
with And("I create a live view on the table"):
node.query(
f"CREATE LIVE VIEW {view_name} AS SELECT * FROM {table_name}"
)
with Then("I try to select from the view"):
output = node.query(f"SELECT * FROM {view_name}").output
assert "1" in output and "2" not in output, error()
finally:
with Finally("I drop the live view", flags=TE):
node.query(f"DROP VIEW IF EXISTS {view_name}")
with And(
"I remove allow_experimental_live_view from the default query settings",
flags=TE,
):
if default_query_settings:
try:
default_query_settings.pop(
default_query_settings.index(
("allow_experimental_live_view", 1)
)
)
except ValueError:
pass
@TestScenario
@Requirements(RQ_SRS_006_RBAC_RowPolicy_Nesting("1.0"))
def nested_mat_view_before_policy(self, node=None):
"""Check that if a materialized view exists on a table and then a row policy is created,
the user is only able to select rows specified by the assigned policies from the view.
"""
table_name = f"table_{getuid()}"
view_name = f"view_{getuid()}"
pol_name = f"pol_{getuid()}"
if node is None:
node = self.context.node
with table(node, table_name):
try:
with Given("I have a row policy"):
row_policy(name=pol_name, table=table_name)
with And("There exists a mat view on the table"):
node.query(
f"CREATE MATERIALIZED VIEW {view_name} ENGINE = Memory AS SELECT * FROM {table_name}"
)
with And("The table has some values"):
node.query(f"INSERT INTO {table_name} (y) VALUES (1),(2)")
with When("I alter the row policy"):
node.query(
f"ALTER ROW POLICY {pol_name} ON {table_name} FOR SELECT USING y=1 TO default"
)
with Then("I try to select from the view"):
output = node.query(f"SELECT * FROM {view_name}").output
assert "1" in output and "2" not in output, error()
finally:
with Finally("I drop the materialized view", flags=TE):
node.query(f"DROP VIEW IF EXISTS {view_name}")
@TestScenario
@Requirements(RQ_SRS_006_RBAC_RowPolicy_Nesting("1.0"))
def nested_mat_view_after_policy(self, node=None):
"""Check that if a user has a row policy on a table and a materialized view is created on that table,
the user is only able to select rows specified by the assigned policies from the view.
"""
table_name = f"table_{getuid()}"
view_name = f"view_{getuid()}"
pol_name = f"pol_{getuid()}"
if node is None:
node = self.context.node
with table(node, table_name):
try:
with Given("I have a row policy"):
row_policy(name=pol_name, table=table_name)
with And("I alter the row policy"):
node.query(
f"ALTER ROW POLICY {pol_name} ON {table_name} FOR SELECT USING y=1 TO default"
)
with When("I create a mat view on the table"):
node.query(
f"CREATE MATERIALIZED VIEW {view_name} ENGINE = Memory AS SELECT * FROM {table_name}"
)
with And("The table has some values"):
node.query(f"INSERT INTO {table_name} (y) VALUES (1),(2)")
with Then("I try to select from the view"):
output = node.query(f"SELECT * FROM {view_name}").output
assert "1" in output and "2" not in output, error()
finally:
with Finally("I drop the materialized view", flags=TE):
node.query(f"DROP VIEW IF EXISTS {view_name}")
@TestScenario
@Requirements(RQ_SRS_006_RBAC_RowPolicy_Nesting("1.0"))
def populate_mat_view(self, node=None):
"""Check that if a user has a row policy on a table and a materialized view is created using POPULATE from that table,
the user can only select the rows from the materialized view specified in the row policy.
"""
table_name = f"table_{getuid()}"
view_name = f"view_{getuid()}"
pol_name = f"pol_{getuid()}"
if node is None:
node = self.context.node
with table(node, table_name):
try:
with Given("I have a row policy"):
row_policy(name=pol_name, table=table_name)
with And("I alter a row policy on the table"):
node.query(
f"ALTER ROW POLICY {pol_name} ON {table_name} FOR SELECT USING y=1 TO default"
)
with And("The table has some values"):
node.query(f"INSERT INTO {table_name} (y) VALUES (1),(2)")
with When("I create a mat view populated by the table"):
node.query(
f"CREATE MATERIALIZED VIEW {view_name} ENGINE = Memory POPULATE AS SELECT * FROM {table_name}"
)
with Then("I try to select from the view"):
output = node.query(f"SELECT * FROM {view_name}").output
assert "1" in output and "2" not in output, error()
finally:
with Finally("I drop the materialized view", flags=TE):
node.query(f"DROP VIEW IF EXISTS {view_name}")
@TestScenario
@Requirements(RQ_SRS_006_RBAC_RowPolicy_Nesting("1.0"))
def dist_table(self, node=None):
"""Check that if a user has a row policy on a table and a distributed table is created on that table,
the user is only able to access the rows specified by the assigned policies.
"""
table_name = f"table_{getuid()}"
dist_table_name = f"dist_table_{getuid()}"
pol_name = f"pol_{getuid()}"
if node is None:
node = self.context.node
node2 = self.context.node2
try:
with Given("I have a table on a cluster"):
node.query(
f"CREATE TABLE {table_name} ON CLUSTER sharded_cluster (x UInt64) ENGINE = Memory"
)
with And("I have a row policy"):
node.query(
f"CREATE ROW POLICY {pol_name} ON CLUSTER sharded_cluster ON {table_name}"
)
with And("I have a distributed table"):
node.query(
f"CREATE TABLE {dist_table_name} (x UInt64) ENGINE = Distributed(sharded_cluster, default, {table_name}, rand())"
)
with And("The table has some values on the first node"):
node.query(f"INSERT INTO {table_name} (x) VALUES (1)")
with When("I alter the row policy to be permissive"):
node.query(
f"ALTER ROW POLICY {pol_name} ON {table_name} ON CLUSTER sharded_cluster FOR SELECT USING 1"
)
with Then("I select from the distributed table"):
output = node.query(f"SELECT * FROM {dist_table_name}").output
assert "" == output, error()
finally:
with Finally("I drop the row policy", flags=TE):
node.query(
f"DROP ROW POLICY IF EXISTS {pol_name} ON CLUSTER sharded_cluster ON {table_name}"
)
with And("I drop the table", flags=TE):
node.query(f"DROP TABLE IF EXISTS {table_name} ON CLUSTER sharded_cluster")
with And("I drop the distributed table", flags=TE):
node.query(f"DROP TABLE IF EXISTS {dist_table_name}")
@TestScenario
@Requirements(RQ_SRS_006_RBAC_RowPolicy_Nesting("1.0"))
def dist_table_diff_policies_on_diff_nodes(self, node=None):
"""Check that user is only able to select from the distributed table what is allowed by the row policies on each node."""
table_name = f"table_{getuid()}"
dist_table_name = f"dist_table_{getuid()}"
pol_name = f"pol_{getuid()}"
if node is None:
node = self.context.node
node2 = self.context.node2
try:
with Given("I have a table on a cluster"):
node.query(
f"CREATE TABLE {table_name} ON CLUSTER sharded_cluster (x UInt64) ENGINE = Memory"
)
with And("I have a row policy"):
node.query(
f"CREATE ROW POLICY {pol_name} ON CLUSTER sharded_cluster ON {table_name}"
)
with And("I have a distributed table"):
node.query(
f"CREATE TABLE {dist_table_name} (x UInt64) ENGINE = Distributed(sharded_cluster, default, {table_name}, rand())"
)
with And("The table has some values on the first node"):
node.query(f"INSERT INTO {table_name} (x) VALUES (1)")
with And("The table has some values on the second node"):
node2.query(f"INSERT INTO {table_name} (x) VALUES (2)")
with When("I alter the row policy to be permissive on the first node"):
node.query(
f"ALTER ROW POLICY {pol_name} ON {table_name} FOR SELECT USING 1"
)
with Then("I select from the distributed table"):
output = node.query(f"SELECT * FROM {dist_table_name}").output
assert "1" not in output and "2" in output, error()
finally:
with Finally("I drop the row policy", flags=TE):
node.query(
f"DROP ROW POLICY IF EXISTS {pol_name} ON {table_name} ON CLUSTER sharded_cluster"
)
with And("I drop the table", flags=TE):
node.query(f"DROP TABLE IF EXISTS {table_name} ON CLUSTER sharded_cluster")
with And("I drop the distributed table", flags=TE):
node.query(f"DROP TABLE IF EXISTS {dist_table_name}")
@TestScenario
@Requirements(RQ_SRS_006_RBAC_RowPolicy_Nesting("1.0"))
def dist_table_on_dist_table(self, node=None):
"""Check that if a user has a row policy on a table and a distributed table is created on that table,
and another distributed table is created on top of that,
the user is only able to access rows on any of the tables specified by the assigned policies.
"""
table_name = f"table_{getuid()}"
dist_table_name = f"dist_table_{getuid()}"
dist_table_2_name = f"dist_table_2_{getuid()}"
pol_name = f"pol_{getuid()}"
if node is None:
node = self.context.node
node2 = self.context.node2
try:
with Given("I have a table on a cluster"):
node.query(
f"CREATE TABLE {table_name} ON CLUSTER sharded_cluster (x UInt64) ENGINE = Memory"
)
with And("I have a row policy"):
node.query(
f"CREATE ROW POLICY {pol_name} ON CLUSTER sharded_cluster ON {table_name}"
)
with And("I have a distributed table on a cluster"):
node.query(
f"CREATE TABLE {dist_table_name} ON CLUSTER sharded_cluster (x UInt64) ENGINE = Distributed(sharded_cluster, default, {table_name}, rand())"
)
with And("I have a distributed table on the other distributed table"):
node.query(
f"CREATE TABLE {dist_table_2_name} (x UInt64) ENGINE = Distributed(sharded_cluster, default, {dist_table_name}, rand())"
)
with And("The table has some values on the first node"):
node.query(f"INSERT INTO {table_name} (x) VALUES (1)")
with When("I alter the row policy to be permissive on the first node"):
node.query(
f"ALTER ROW POLICY {pol_name} ON {table_name} FOR SELECT USING 1"
)
with Then("I select from the second distributed table"):
output = node.query(f"SELECT * FROM {dist_table_2_name}").output
assert "" == output, error()
finally:
with Finally("I drop the row policy", flags=TE):
node.query(
f"DROP ROW POLICY IF EXISTS {pol_name} ON CLUSTER sharded_cluster ON {table_name}"
)
with And("I drop the table", flags=TE):
node.query(f"DROP TABLE IF EXISTS {table_name} ON CLUSTER sharded_cluster")
with And("I drop the distributed table", flags=TE):
node.query(
f"DROP TABLE IF EXISTS {dist_table_name} ON CLUSTER sharded_cluster"
)
with And("I drop the outer distributed table", flags=TE):
node.query(f"DROP TABLE IF EXISTS {dist_table_2_name}")
@TestScenario
def policy_before_table(self, node=None):
"""Check that if the policy is created and altered before the table,
then it is still applied correctly.
"""
table_name = f"table_{getuid()}"
pol_name = f"pol_{getuid()}"
if node is None:
node = self.context.node
with Given("I have a row policy"):
row_policy(name=pol_name, table=table_name)
with And("I alter the row policy"):
node.query(
f"ALTER ROW POLICY {pol_name} ON {table_name} FOR SELECT USING y=1 TO default"
)
with table(node, table_name):
with When("The table has some values"):
node.query(f"INSERT INTO {table_name} (y) VALUES (1), (2)")
with Then("I try to select from the table"):
output = node.query(f"SELECT * FROM {table_name}").output
assert "1" in output and "2" not in output, error()
@TestScenario
@Requirements(
RQ_SRS_006_RBAC_RowPolicy_Nesting("1.0"),
)
def dict(self, node=None):
"""Check that if a user has a row policy on a table and a dictionary is created on that table,
the user is only able to access the rows specified by the assigned policies.
"""
table_name = f"table_{getuid()}"
dict_name = f"view_{getuid()}"
pol_name = f"pol_{getuid()}"
if node is None:
node = self.context.node
try:
with Given("I have a row policy"):
row_policy(name=pol_name, table=table_name)
with And("I have a table"):
node.query(
f"CREATE TABLE {table_name} (key UInt64, val UInt64 DEFAULT 5) ENGINE = Memory"
)
with And("The table has some values"):
node.query(f"INSERT INTO {table_name} (key) VALUES (1),(2)")
with And("I create a dict on the table"):
node.query(
f"CREATE DICTIONARY {dict_name} (key UInt64 DEFAULT 0, val UInt64 DEFAULT 5) PRIMARY KEY key SOURCE(CLICKHOUSE(HOST 'localhost' PORT tcpPort() USER 'default' TABLE {table_name} PASSWORD '' DB 'default')) LIFETIME(MIN 0 MAX 0) LAYOUT(FLAT())"
)
with When("I alter the row policy to be permissive"):
node.query(
f"ALTER ROW POLICY {pol_name} ON {table_name} FOR SELECT USING key=1 TO default"
)
with Then("I try to select from the dict"):
output = node.query(f"SELECT * FROM {dict_name}").output
assert "1" in output and "2" not in output, error()
finally:
with Finally("I drop the materialized view", flags=TE):
node.query(f"DROP DICTIONARY IF EXISTS {dict_name}")
with And("I drop the table", flags=TE):
node.query(f"DROP TABLE IF EXISTS {table_name}")
@TestFeature
@Name("alter row policy")
@Requirements(
RQ_SRS_006_RBAC_Privileges_AlterRowPolicy("1.0"),
RQ_SRS_006_RBAC_Privileges_All("1.0"),
RQ_SRS_006_RBAC_Privileges_None("1.0"),
)
def feature(self, node="clickhouse1"):
"""Check the RBAC functionality of ALTER ROW POLICY."""
self.context.node = self.context.cluster.node(node)
self.context.node2 = self.context.cluster.node("clickhouse2")
Suite(run=privileges_granted_directly, setup=instrument_clickhouse_server_log)
Suite(run=privileges_granted_via_role, setup=instrument_clickhouse_server_log)
Scenario(run=no_grants, setup=instrument_clickhouse_server_log)
Scenario(run=permissive, setup=instrument_clickhouse_server_log)
Scenario(run=restrictive, setup=instrument_clickhouse_server_log)
Scenario(run=for_select, setup=instrument_clickhouse_server_log)
Scenario(run=condition, setup=instrument_clickhouse_server_log)
Scenario(run=remove_condition, setup=instrument_clickhouse_server_log)
Scenario(run=if_exists, setup=instrument_clickhouse_server_log)
Scenario(run=rename, setup=instrument_clickhouse_server_log)
Scenario(run=on_cluster, setup=instrument_clickhouse_server_log)
Scenario(run=assignment, setup=instrument_clickhouse_server_log)
Scenario(run=assignment_none, setup=instrument_clickhouse_server_log)
Scenario(run=assignment_all, setup=instrument_clickhouse_server_log)
Scenario(run=assignment_all_except, setup=instrument_clickhouse_server_log)
Scenario(run=nested_view, setup=instrument_clickhouse_server_log)
Scenario(run=nested_live_view_before_policy, setup=instrument_clickhouse_server_log)
Scenario(run=nested_live_view_after_policy, setup=instrument_clickhouse_server_log)
Scenario(run=nested_mat_view_before_policy, setup=instrument_clickhouse_server_log)
Scenario(run=nested_mat_view_after_policy, setup=instrument_clickhouse_server_log)
Scenario(run=populate_mat_view, setup=instrument_clickhouse_server_log)
Scenario(run=dist_table, setup=instrument_clickhouse_server_log)
Scenario(run=dist_table_on_dist_table, setup=instrument_clickhouse_server_log)
Scenario(
run=dist_table_diff_policies_on_diff_nodes,
setup=instrument_clickhouse_server_log,
)
Scenario(run=diff_policies_on_diff_nodes, setup=instrument_clickhouse_server_log)
Scenario(run=policy_before_table, setup=instrument_clickhouse_server_log)
Scenario(run=dict, setup=instrument_clickhouse_server_log)
| 36.32498 | 257 | 0.603488 | 6,353 | 46,387 | 4.252794 | 0.036833 | 0.069287 | 0.054408 | 0.023318 | 0.910319 | 0.893589 | 0.884077 | 0.86013 | 0.841809 | 0.819121 | 0 | 0.008744 | 0.297368 | 46,387 | 1,276 | 258 | 36.353448 | 0.820207 | 0.075754 | 0 | 0.704595 | 0 | 0.006565 | 0.364794 | 0.023414 | 0 | 0 | 0 | 0 | 0.031729 | 1 | 0.031729 | false | 0.003282 | 0.00547 | 0 | 0.037199 | 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 |
36b4e51bf72a68864531825305b4569d98f7b5d1 | 35,895 | py | Python | chris/tests/mocks/data/pipeline.py | FNNDSC/caw | a41761c4502481f6ccb60ef6e9956464c9b30eb9 | [
"MIT"
] | null | null | null | chris/tests/mocks/data/pipeline.py | FNNDSC/caw | a41761c4502481f6ccb60ef6e9956464c9b30eb9 | [
"MIT"
] | 11 | 2021-04-23T21:25:29.000Z | 2022-03-14T02:40:26.000Z | chris/tests/mocks/data/pipeline.py | FNNDSC/caw | a41761c4502481f6ccb60ef6e9956464c9b30eb9 | [
"MIT"
] | 1 | 2021-10-17T16:18:30.000Z | 2021-10-17T16:18:30.000Z | # TODO got lazy...
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'https://example.com/api/v1/plugins/6/': {},
'https://example.com/api/v1/pipelines/': {
"collection_links": {
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},
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"next": None,
"previous": None,
"queries": [
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"results": [
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"instances": "https://example.com/api/v1/pipelines/1/instances/",
"locked": False,
"modification_date": "2021-11-12T23:03:58.401912-05:00",
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"locked": False,
"modification_date": "2021-11-12T23:03:58.742439-05:00",
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"plugins": "https://example.com/api/v1/pipelines/2/plugins/",
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],
"template": {
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},
{
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{
"name": "category",
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{
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{
"name": "locked",
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},
{
"name": "plugin_tree",
"value": ""
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{
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}
},
'https://example.com/api/v1/pipelines/2/': {
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"category": "",
"creation_date": "2021-11-12T23:03:58.742417-05:00",
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},
{
"name": "authors",
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},
{
"name": "category",
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}
]
},
"url": "https://example.com/api/v1/pipelines/2/"
},
'https://exmaple.com/api/v1/pipelines/2/pipings/': {
"collection_links": {
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},
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"next": None,
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"results": [
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'https://example.com/api/v1/pipelines/2/parameters/': {
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"next": None,
"previous": None,
"results": [
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{
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"plugin_version": "2.0.2",
"previous_plugin_piping_id": None,
"type": "string",
"url": "https://example.com/api/v1/pipelines/string-parameter/7/",
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},
{
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"param_id": 11,
"param_name": "sleepLength",
"plugin_id": 4,
"plugin_name": "pl-simpledsapp",
"plugin_param": "https://example.com/api/v1/plugins/parameters/11/",
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"plugin_piping_id": 5,
"plugin_version": "2.0.2",
"previous_plugin_piping_id": 4,
"type": "string",
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"plugin_version": "2.0.2",
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| 41.738372 | 91 | 0.434824 | 3,339 | 35,895 | 4.513926 | 0.035639 | 0.070064 | 0.093418 | 0.208997 | 0.946192 | 0.940618 | 0.925425 | 0.918723 | 0.891786 | 0.891786 | 0 | 0.047414 | 0.405962 | 35,895 | 859 | 92 | 41.786962 | 0.659429 | 0.000446 | 0 | 0.698002 | 0 | 0 | 0.477855 | 0.036402 | 0 | 0 | 0 | 0.001164 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 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 |
36cac3d91cde933c672b11b7a737c429688ccb69 | 28 | py | Python | test/fixtures/python/corpus/assignment.A.py | matsubara0507/semantic | 67899f701abc0f1f0cb4374d8d3c249afc33a272 | [
"MIT"
] | 8,844 | 2019-05-31T15:47:12.000Z | 2022-03-31T18:33:51.000Z | test/fixtures/python/corpus/assignment.A.py | matsubara0507/semantic | 67899f701abc0f1f0cb4374d8d3c249afc33a272 | [
"MIT"
] | 401 | 2019-05-31T18:30:26.000Z | 2022-03-31T16:32:29.000Z | test/fixtures/python/corpus/assignment.A.py | matsubara0507/semantic | 67899f701abc0f1f0cb4374d8d3c249afc33a272 | [
"MIT"
] | 504 | 2019-05-31T17:55:03.000Z | 2022-03-30T04:15:04.000Z | a = 1
a, b = 1, 2
a, = 1, 2
| 7 | 11 | 0.321429 | 9 | 28 | 1 | 0.444444 | 0.444444 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.3125 | 0.428571 | 28 | 3 | 12 | 9.333333 | 0.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
36d0247854225a7b0923144d94a396692fbbdca7 | 10,547 | py | Python | CodonSubstitution/build/biopython/Tests/test_pairwise2.py | JackCurragh/DARNED | 13963d129bd8f69fb1106ad1f47394b3211a939c | [
"MIT"
] | 1 | 2019-08-05T08:39:27.000Z | 2019-08-05T08:39:27.000Z | CodonSubstitution/build/biopython/Tests/test_pairwise2.py | JackCurragh/DARNED | 13963d129bd8f69fb1106ad1f47394b3211a939c | [
"MIT"
] | null | null | null | CodonSubstitution/build/biopython/Tests/test_pairwise2.py | JackCurragh/DARNED | 13963d129bd8f69fb1106ad1f47394b3211a939c | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# This code is part of the Biopython distribution and governed by its
# license. Please see the LICENSE file that should have been included
# as part of this package.
import unittest
from Bio import pairwise2
class TestPairwiseGlobal(unittest.TestCase):
def test_globalxx_simple(self):
aligns = pairwise2.align.globalxx("GAACT", "GAT")
self.assertEqual(len(aligns), 2)
aligns.sort()
seq1, seq2, score, begin, end = aligns[0]
alignment = pairwise2.format_alignment(seq1, seq2, score, begin, end)
self.assertEqual(alignment, """\
GAACT
|||||
G-A-T
Score=3
""")
seq1, seq2, score, begin, end = aligns[1]
alignment = pairwise2.format_alignment(seq1, seq2, score, begin, end)
self.assertEqual(alignment, """\
GAACT
|||||
GA--T
Score=3
""")
class TestPairwiseLocal(unittest.TestCase):
def test_localxs(self):
aligns = pairwise2.align.localxs("AxBx", "zABz", -0.1, 0)
aligns.sort()
seq1, seq2, score, begin, end = aligns[0]
alignment = pairwise2.format_alignment(seq1, seq2, score, begin, end)
self.assertEqual(alignment, """\
-AxBx
|||
zA-Bz
Score=1.9
""")
seq1, seq2, score, begin, end = aligns[1]
alignment = pairwise2.format_alignment(seq1, seq2, score, begin, end)
self.assertEqual(alignment, """\
-AxBx
||||
zA-Bz
Score=1.9
""")
class TestPairwiseOpenPenalty(unittest.TestCase):
def test_match_score_open_penalty1(self):
aligns = pairwise2.align.globalms("AA", "A", 2.0, -1, -0.1, 0)
self.assertEqual(len(aligns), 2)
aligns.sort()
seq1, seq2, score, begin, end = aligns[0]
alignment = pairwise2.format_alignment(seq1, seq2, score, begin, end)
self.assertEqual(alignment, """\
AA
||
-A
Score=1.9
""")
seq1, seq2, score, begin, end = aligns[1]
alignment = pairwise2.format_alignment(seq1, seq2, score, begin, end)
self.assertEqual(alignment, """\
AA
||
A-
Score=1.9
""")
def test_match_score_open_penalty2(self):
aligns = pairwise2.align.globalms("GAA", "GA", 1.5, 0, -0.1, 0)
self.assertEqual(len(aligns), 2)
aligns.sort()
seq1, seq2, score, begin, end = aligns[0]
alignment = pairwise2.format_alignment(seq1, seq2, score, begin, end)
self.assertEqual(alignment, """\
GAA
|||
G-A
Score=2.9
""")
seq1, seq2, score, begin, end = aligns[1]
alignment = pairwise2.format_alignment(seq1, seq2, score, begin, end)
self.assertEqual(alignment, """\
GAA
|||
GA-
Score=2.9
""")
def test_match_score_open_penalty3(self):
aligns = pairwise2.align.globalxs("GAACT", "GAT", -0.1, 0)
self.assertEqual(len(aligns), 1)
seq1, seq2, score, begin, end = aligns[0]
alignment = pairwise2.format_alignment(seq1, seq2, score, begin, end)
self.assertEqual(alignment, """\
GAACT
|||||
GA--T
Score=2.9
""")
def test_match_score_open_penalty4(self):
aligns = pairwise2.align.globalms("GCT", "GATA", 1, -2, -0.1, 0)
self.assertEqual(len(aligns), 1)
seq1, seq2, score, begin, end = aligns[0]
alignment = pairwise2.format_alignment(seq1, seq2, score, begin, end)
self.assertEqual(alignment, """\
GCT-
||||
GATA
Score=-0.1
""")
class TestPairwiseExtendPenalty(unittest.TestCase):
def test_extend_penalty1(self):
aligns = pairwise2.align.globalxs("GACT", "GT", -0.2, -0.5)
self.assertEqual(len(aligns), 1)
seq1, seq2, score, begin, end = aligns[0]
alignment = pairwise2.format_alignment(seq1, seq2, score, begin, end)
self.assertEqual(alignment, """\
GACT
||||
G--T
Score=1.3
""")
def test_extend_penalty2(self):
aligns = pairwise2.align.globalxs("GACT", "GT", -0.2, -1.5)
self.assertEqual(len(aligns), 2)
aligns.sort()
seq1, seq2, score, begin, end = aligns[0]
alignment = pairwise2.format_alignment(seq1, seq2, score, begin, end)
self.assertEqual(alignment, """\
GACT
||||
-G-T
Score=0.6
""")
seq1, seq2, score, begin, end = aligns[1]
alignment = pairwise2.format_alignment(seq1, seq2, score, begin, end)
self.assertEqual(alignment, """\
GACT
||||
G-T-
Score=0.6
""")
class TestPairwisePenalizeExtendWhenOpening(unittest.TestCase):
def test_penalize_extend_when_opening(self):
aligns = pairwise2.align.globalxs("GACT", "GT", -0.2, -1.5, penalize_extend_when_opening=1)
self.assertEqual(len(aligns), 1)
seq1, seq2, score, begin, end = aligns[0]
alignment = pairwise2.format_alignment(seq1, seq2, score, begin, end)
self.assertEqual(alignment, """\
GACT
||||
G--T
Score=-1.2
""")
class TestPairwisePenalizeEndgaps(unittest.TestCase):
def test_penalize_end_gaps(self):
aligns = pairwise2.align.globalxs("GACT", "GT", -0.2, -0.8, penalize_end_gaps=0)
self.assertEqual(len(aligns), 3)
aligns.sort()
seq1, seq2, score, begin, end = aligns[0]
alignment = pairwise2.format_alignment(seq1, seq2, score, begin, end)
self.assertEqual(alignment, """\
GACT
||||
--GT
Score=1
""")
seq1, seq2, score, begin, end = aligns[1]
alignment = pairwise2.format_alignment(seq1, seq2, score, begin, end)
self.assertEqual(alignment, """\
GACT
||||
G--T
Score=1
""")
seq1, seq2, score, begin, end = aligns[2]
alignment = pairwise2.format_alignment(seq1, seq2, score, begin, end)
self.assertEqual(alignment, """\
GACT
||||
GT--
Score=1
""")
class TestPairwiseSeparateGapPenalties(unittest.TestCase):
def test_separate_gap_penalties1(self):
aligns = pairwise2.align.localxd("GAT", "GTCT", -0.3, 0, -0.8, 0)
self.assertEqual(len(aligns), 2)
aligns.sort()
seq1, seq2, score, begin, end = aligns[0]
alignment = pairwise2.format_alignment(seq1, seq2, score, begin, end)
self.assertEqual(alignment, """\
G-AT
||||
GTCT
Score=1.7
""")
seq1, seq2, score, begin, end = aligns[1]
alignment = pairwise2.format_alignment(seq1, seq2, score, begin, end)
self.assertEqual(alignment, """\
GA-T
||||
GTCT
Score=1.7
""")
def test_separate_gap_penalties2(self):
aligns = pairwise2.align.localxd("GAT", "GTCT", -0.5, 0, -0.2, 0)
self.assertEqual(len(aligns), 1)
seq1, seq2, score, begin, end = aligns[0]
alignment = pairwise2.format_alignment(seq1, seq2, score, begin, end)
self.assertEqual(alignment, """\
GAT--
|||
G-TCT
Score=1.8
""")
class TestPairwiseSeparateGapPenaltiesWithExtension(unittest.TestCase):
def test_separate_gap_penalties_with_extension(self):
aligns = pairwise2.align.localxd(list("GAAT"), list("GTCCT"), -0.1, 0, -0.1, -0.1, gap_char=["-"])
self.assertEqual(len(aligns), 3)
aligns.sort()
seq1, seq2, score, begin, end = aligns[0]
alignment = pairwise2.format_alignment(seq1, seq2, score, begin, end)
self.assertEqual(alignment, """\
['G', '-', 'A', 'A', 'T']
|||||
['G', 'T', 'C', 'C', 'T']
Score=1.9
""")
seq1, seq2, score, begin, end = aligns[1]
alignment = pairwise2.format_alignment(seq1, seq2, score, begin, end)
self.assertEqual(alignment, """\
['G', 'A', '-', 'A', 'T']
|||||
['G', 'T', 'C', 'C', 'T']
Score=1.9
""")
seq1, seq2, score, begin, end = aligns[2]
alignment = pairwise2.format_alignment(seq1, seq2, score, begin, end)
self.assertEqual(alignment, """\
['G', 'A', 'A', '-', 'T']
|||||
['G', 'T', 'C', 'C', 'T']
Score=1.9
""")
class TestPairwiseMatchDictionary(unittest.TestCase):
match_dict = {
("A", "A") : 1.5,
("A", "T") : 0.5,
("T", "T") : 1.0
}
def test_match_dictionary1(self):
aligns = pairwise2.align.localds("ATAT", "ATT", self.match_dict, -.5, 0)
self.assertEqual(len(aligns), 2)
aligns.sort()
seq1, seq2, score, begin, end = aligns[0]
alignment = pairwise2.format_alignment(seq1, seq2, score, begin, end)
self.assertEqual(alignment, """\
ATAT
||||
AT-T
Score=3
""")
seq1, seq2, score, begin, end = aligns[1]
alignment = pairwise2.format_alignment(seq1, seq2, score, begin, end)
self.assertEqual(alignment, """\
ATAT
|||
ATT-
Score=3
""")
def test_match_dictionary2(self):
aligns = pairwise2.align.localds("ATAT", "ATT", self.match_dict, -1, 0)
self.assertEqual(len(aligns), 1)
seq1, seq2, score, begin, end = aligns[0]
alignment = pairwise2.format_alignment(seq1, seq2, score, begin, end)
self.assertEqual(alignment, """\
ATAT
|||
ATT-
Score=3
""")
def test_match_dictionary3(self):
aligns = pairwise2.align.localds("ATT", "ATAT", self.match_dict, -1, 0)
self.assertEqual(len(aligns), 1)
seq1, seq2, score, begin, end = aligns[0]
alignment = pairwise2.format_alignment(seq1, seq2, score, begin, end)
self.assertEqual(alignment, """\
ATT-
|||
ATAT
Score=3
""")
class TestPairwiseOneCharacter(unittest.TestCase):
def test_align_one_char1(self):
aligns = pairwise2.align.localxs("abcde", "c", -0.3, -0.1)
self.assertEqual(len(aligns), 1)
seq1, seq2, score, begin, end = aligns[0]
alignment = pairwise2.format_alignment(seq1, seq2, score, begin, end)
self.assertEqual(alignment, """\
abcde
|
--c--
Score=1
""")
def test_align_one_char2(self):
aligns = pairwise2.align.localxs("abcce", "c", -0.3, -0.1)
self.assertEqual(len(aligns), 2)
aligns.sort()
seq1, seq2, score, begin, end = aligns[0]
alignment = pairwise2.format_alignment(seq1, seq2, score, begin, end)
self.assertEqual(alignment, """\
abcce
|
---c-
Score=1
""")
seq1, seq2, score, begin, end = aligns[1]
alignment = pairwise2.format_alignment(seq1, seq2, score, begin, end)
self.assertEqual(alignment, """\
abcce
|
--c--
Score=1
""")
def test_align_one_char3(self):
aligns = pairwise2.align.globalxs("abcde", "c", -0.3, -0.1)
self.assertEqual(len(aligns), 1)
seq1, seq2, score, begin, end = aligns[0]
alignment = pairwise2.format_alignment(seq1, seq2, score, begin, end)
self.assertEqual(alignment, """\
abcde
|||||
--c--
Score=0.2
""")
if __name__ == '__main__':
runner = unittest.TextTestRunner(verbosity = 2)
unittest.main(testRunner=runner)
| 27.394805 | 106 | 0.614677 | 1,308 | 10,547 | 4.876147 | 0.103976 | 0.077767 | 0.126372 | 0.174976 | 0.812167 | 0.744434 | 0.73048 | 0.725619 | 0.705394 | 0.70461 | 0 | 0.045405 | 0.221106 | 10,547 | 384 | 107 | 27.466146 | 0.73098 | 0.017256 | 0 | 0.742515 | 0 | 0 | 0.110704 | 0 | 0 | 0 | 0 | 0 | 0.146707 | 1 | 0.056886 | false | 0 | 0.005988 | 0 | 0.095808 | 0 | 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 |
7fdb6a83d1f57e3798f91b61a5aab1bc618d9832 | 19,920 | py | Python | tests/api/services/test_patch_service.py | satroutr/poppy | 27417f86854d9e0a04726acc263ef0a2ce9f8f6e | [
"Apache-2.0"
] | 3 | 2017-07-05T20:09:59.000Z | 2018-11-27T22:02:57.000Z | tests/api/services/test_patch_service.py | satroutr/poppy | 27417f86854d9e0a04726acc263ef0a2ce9f8f6e | [
"Apache-2.0"
] | 24 | 2017-04-18T15:14:04.000Z | 2019-03-20T19:09:07.000Z | tests/api/services/test_patch_service.py | satroutr/poppy | 27417f86854d9e0a04726acc263ef0a2ce9f8f6e | [
"Apache-2.0"
] | 8 | 2017-04-03T13:24:27.000Z | 2021-11-08T20:28:10.000Z | # coding= utf-8
# Copyright (c) 2014 Rackspace, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
# implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import time
import uuid
import ddt
import jsonpatch
from tests.api import base
@ddt.ddt
class TestServicePatch(base.TestBase):
"""Tests for PATCH Services."""
def setUp(self):
super(TestServicePatch, self).setUp()
self.service_name = self.generate_random_string(prefix='api-test')
self.flavor_id = self.test_flavor
self.log_delivery = {"enabled": False}
domain = self.generate_random_string(
prefix='www.api-test-domain') + '.com'
self.domain_list = [
{
"domain": domain,
"protocol": "http"
}
]
origin = self.generate_random_string(prefix='api-test-origin') + '.com'
self.origin_list = [
{
"origin": origin,
"port": 80,
"ssl": False,
"rules": [
{
"name": "default",
"request_url": "/*"
}
]
}
]
self.caching_list = [
{
"name": "default",
"ttl": 3600,
"rules": [
{
"name": "default",
"request_url": "/*"
}
]
},
{
"name": "home",
"ttl": 1200,
"rules": [
{
"name": "index",
"request_url": "/index.htm"
}
]
}
]
self.restrictions_list = [
{"name": "website only",
"access": "whitelist",
"rules": [{"name": "mywebsite.com",
"referrer": "www.mywebsite.com",
"request_url": "/*"
}]}]
resp = self.setup_service(
service_name=self.service_name,
domain_list=self.domain_list,
origin_list=self.origin_list,
caching_list=self.caching_list,
restrictions_list=self.restrictions_list,
flavor_id=self.flavor_id,
log_delivery=self.log_delivery)
self.service_url = resp.headers["location"]
self.original_service_details = {
"name": self.service_name,
"domains": self.domain_list,
"origins": self.origin_list,
"caching": self.caching_list,
"restrictions": self.restrictions_list,
"flavor_id": self.flavor_id,
"log_delivery": self.log_delivery}
def _replace_domain(self, domain):
if ('protocol' in domain):
if domain['protocol'] == 'https':
if (domain['certificate'] == u'shared'):
return self.generate_random_string(prefix='api-test-ssl')
return self.generate_random_string(prefix='www.api-test-ssl') + '.com'
@ddt.file_data('data_patch_service.json')
def test_patch_service(self, test_data):
for item in test_data:
if 'skip_test' in item:
self.skipTest('Not Implemented - bug# 1433807')
if ('domain' in item['path']) and ('value' in item):
if isinstance(item['value'], (list)):
item['value'][0]['domain'] = self._replace_domain(
domain=item['value'][0])
else:
item['value']['domain'] = self._replace_domain(
domain=item['value'])
patch = jsonpatch.JsonPatch(test_data)
expected_service_details = patch.apply(self.original_service_details)
# Default restriciton to whitelist
expected_restrictions = expected_service_details['restrictions']
for restriction in expected_restrictions:
if 'access' not in restriction:
restriction['access'] = 'whitelist'
resp = self.client.patch_service(location=self.service_url,
request_body=test_data)
self.assertEqual(resp.status_code, 202)
self.client.wait_for_service_status(
location=self.service_url,
status='deployed',
abort_on_status='failed',
retry_interval=self.test_config.status_check_retry_interval,
retry_timeout=self.test_config.status_check_retry_timeout)
resp = self.client.get_service(location=self.service_url)
body = resp.json()
self.assertEqual(body['status'], 'deployed')
expected_origin = expected_service_details['origins']
for field in expected_origin:
if 'hostheadertype' not in field:
field['hostheadertype'] = 'domain'
elif field['hostheadertype'] == 'origin':
field['hostheadervalue'] = field['origin']
self.assert_patch_service_details(body, expected_service_details)
def test_repatch_add_domain_service_after_domain_deletion(self):
additional_domain = self.generate_random_string(
prefix='www.api-test-domain') + '.com'
def _patch_add_domain(domain):
patch_add_domain = [
{
"op": "add",
"path": "/domains/-",
"value": {
"domain": domain, "protocol": "http"
}
}
]
resp = self.client.patch_service(location=self.service_url,
request_body=patch_add_domain)
self.assertEqual(resp.status_code, 202)
self.client.wait_for_service_status(
location=self.service_url,
status='deployed',
abort_on_status='failed',
retry_interval=self.test_config.status_check_retry_interval,
retry_timeout=self.test_config.status_check_retry_timeout)
resp = self.client.get_service(location=self.service_url)
body = resp.json()
self.assertEqual(body['status'], 'deployed')
# NOTE(TheSriram): Patch and add a domain.
_patch_add_domain(domain=additional_domain)
# NOTE(TheSriram): Delete the domain, that was just added.
delete_domain = [
{
"op": "remove",
"path": "/domains/1"
}
]
resp = self.client.patch_service(location=self.service_url,
request_body=delete_domain)
self.assertEqual(resp.status_code, 202)
self.client.wait_for_service_status(
location=self.service_url,
status='deployed',
abort_on_status='failed',
retry_interval=self.test_config.status_check_retry_interval,
retry_timeout=self.test_config.status_check_retry_timeout)
resp = self.client.get_service(location=self.service_url)
body = resp.json()
self.assertEqual(body['status'], 'deployed')
# NOTE(TheSriram): Re-add the deleted domain, this should go through
# as the corresponding entry for that domain, should have been removed
# from the storage layer.
_patch_add_domain(domain=additional_domain)
def test_repatch_add_same_domain_with_different_protocol(self):
additional_domain = self.domain_list[0]['domain']
patch_add_domain = [
{
"op": "add",
"path": "/domains/-",
"value": {
"domain": additional_domain,
"protocol": "https",
"certificate": "san"
}
}
]
resp = self.client.patch_service(location=self.service_url,
request_body=patch_add_domain)
self.assertEqual(resp.status_code, 400)
@ddt.file_data('data_patch_service_negative.json')
def test_patch_service_HTTP_400(self, test_data):
resp = self.client.patch_service(location=self.service_url,
request_body=test_data)
self.assertEqual(resp.status_code, 400)
# nothing should have changed.
resp = self.client.get_service(location=self.service_url)
self.assertEqual(resp.status_code, 200)
body = resp.json()
self.assertEqual(body['status'], 'deployed')
expected_origin = self.original_service_details['origins']
for field in expected_origin:
if 'hostheadertype' not in field:
field['hostheadertype'] = 'domain'
elif field['hostheadertype'] == 'origin':
field['hostheadervalue'] = field['origin']
self.assert_patch_service_details(body, self.original_service_details)
def test_patch_service_claim_relinquish_domain(self):
newdomain = "www." + str(uuid.uuid4()) + ".com"
add_domain = (
[{
"op": "add",
"path": "/domains/-",
"value": {"domain": newdomain, "protocol": "http"}
}])
remove_domain = (
[{
"op": "remove",
"path": "/domains/1"
}])
# add new domain
resp = self.client.patch_service(location=self.service_url,
request_body=add_domain)
self.assertEqual(resp.status_code, 202)
# wait for the domain to be added
self.client.wait_for_service_status(
location=self.service_url,
status='deployed',
abort_on_status='failed',
retry_interval=self.test_config.status_check_retry_interval,
retry_timeout=self.test_config.status_check_retry_timeout)
# make sure the new domain is added
resp = self.client.get_service(location=self.service_url)
body = resp.json()
self.assertEqual(body['status'], 'deployed')
self.assertEqual(body['domains'][-1]['domain'], newdomain)
# remove the new domain
resp = self.client.patch_service(location=self.service_url,
request_body=remove_domain)
self.assertEqual(resp.status_code, 202)
# wait for the domain to be removed
self.client.wait_for_service_status(
location=self.service_url,
status='deployed',
abort_on_status='failed',
retry_interval=self.test_config.status_check_retry_interval,
retry_timeout=self.test_config.status_check_retry_timeout)
# make sure the new domain is removed
resp = self.client.get_service(location=self.service_url)
body = resp.json()
self.assertEqual(body['status'], 'deployed')
for domain in body['domains']:
self.assertNotEqual(domain['domain'], newdomain)
# add new domain, again
resp = self.client.patch_service(location=self.service_url,
request_body=add_domain)
self.assertEqual(resp.status_code, 202)
# wait for the domain to be added
self.client.wait_for_service_status(
location=self.service_url,
status='deployed',
abort_on_status='failed',
retry_interval=self.test_config.status_check_retry_interval,
retry_timeout=self.test_config.status_check_retry_timeout)
# make sure the new domain is added
resp = self.client.get_service(location=self.service_url)
body = resp.json()
self.assertEqual(body['status'], 'deployed')
self.assertEqual(body['domains'][-1]['domain'], newdomain)
def test_patch_service_add_duplicate_domain(self):
# create second service
service_name = str(uuid.uuid1())
duplicate_domain = 'www.' + str(uuid.uuid1()) + '.com'
domain_list = [{"domain": duplicate_domain, "protocol": "http"}]
origin = str(uuid.uuid1()) + '.com'
origin_list = [{"origin": origin,
"port": 80, "ssl": False, "rules": []}]
resp = self.client.create_service(
service_name=service_name,
domain_list=domain_list,
origin_list=origin_list,
flavor_id=self.flavor_id)
service_url = resp.headers["location"]
# wait until the service is deployed
self.client.wait_for_service_status(
location=service_url,
status='deployed',
abort_on_status='failed',
retry_interval=self.test_config.status_check_retry_interval,
retry_timeout=self.test_config.status_check_retry_timeout)
resp = self.client.get_service(location=service_url)
body = resp.json()
self.assertEqual(resp.status_code, 200)
self.assertEqual(body['status'], 'deployed')
# wait to make sure cassandra is eventually consistent
time.sleep(self.test_config.cassandra_consistency_wait_time)
# patch original service with the duplicate domain
add_duplicate_domain = (
[{
"op": "add",
"path": "/domains/-",
"value": {"domain": duplicate_domain, "protocol": "http"}
}])
# add the duplicate domain
resp = self.client.patch_service(location=self.service_url,
request_body=add_duplicate_domain)
self.assertEqual(resp.status_code, 400)
self.client.delete_service(location=service_url)
def tearDown(self):
self.client.delete_service(location=self.service_url)
if self.test_config.generate_flavors:
self.client.delete_flavor(flavor_id=self.flavor_id)
super(TestServicePatch, self).tearDown()
@ddt.ddt
class TestServicePatchWithLogDelivery(base.TestBase):
"""Tests for PATCH Services."""
def setUp(self):
super(TestServicePatchWithLogDelivery, self).setUp()
self.service_name = self.generate_random_string(prefix='api-test')
self.flavor_id = self.test_flavor
self.log_delivery = {"enabled": True}
domain = self.generate_random_string(
prefix='www.api-test-domain') + '.com'
self.domain_list = [
{
"domain": domain,
"protocol": "http"
}
]
origin = self.generate_random_string(prefix='api-test-origin') + '.com'
self.origin_list = [
{
"origin": origin,
"port": 80,
"ssl": False,
"rules": [
{
"name": "default",
"request_url": "/*"
}
]
}
]
self.caching_list = [
{
"name": "default",
"ttl": 3600,
"rules": [
{
"name": "default",
"request_url": "/*"
}
]
},
{
"name": "home",
"ttl": 1200,
"rules": [
{
"name": "index",
"request_url": "/index.htm"
}
]
}
]
self.restrictions_list = [
{"name": "website only",
"access": "whitelist",
"rules": [{"name": "mywebsite.com",
"referrer": "www.mywebsite.com",
"request_url": "/*"
}]}]
resp = self.setup_service(
service_name=self.service_name,
domain_list=self.domain_list,
origin_list=self.origin_list,
caching_list=self.caching_list,
restrictions_list=self.restrictions_list,
flavor_id=self.flavor_id,
log_delivery=self.log_delivery)
self.service_url = resp.headers["location"]
self.original_service_details = {
"name": self.service_name,
"domains": self.domain_list,
"origins": self.origin_list,
"caching": self.caching_list,
"restrictions": self.restrictions_list,
"flavor_id": self.flavor_id,
"log_delivery": self.log_delivery}
def _replace_domain(self, domain):
if ('protocol' in domain):
if domain['protocol'] == 'https':
if (domain['certificate'] == u'shared'):
return self.generate_random_string(prefix='api-test-ssl')
return self.generate_random_string(prefix='www.api-test-ssl') + '.com'
@ddt.file_data('data_patch_service.json')
def test_patch_service(self, test_data):
for item in test_data:
if 'skip_test' in item:
self.skipTest('Not Implemented - bug# 1433807')
if ('domain' in item['path']) and ('value' in item):
if isinstance(item['value'], (list)):
item['value'][0]['domain'] = self._replace_domain(
domain=item['value'][0])
else:
item['value']['domain'] = self._replace_domain(
domain=item['value'])
patch = jsonpatch.JsonPatch(test_data)
expected_service_details = patch.apply(self.original_service_details)
# Default restriction to whitelist
expected_restrictions = expected_service_details['restrictions']
for restriction in expected_restrictions:
if 'access' not in restriction:
restriction['access'] = 'whitelist'
expected_origin = expected_service_details['origins']
for item in expected_origin:
if 'hostheadertype' not in item:
item['hostheadertype'] = 'domain'
resp = self.client.patch_service(location=self.service_url,
request_body=test_data)
self.assertEqual(resp.status_code, 202)
self.client.wait_for_service_status(
location=self.service_url,
status='deployed',
abort_on_status='failed',
retry_interval=self.test_config.status_check_retry_interval,
retry_timeout=self.test_config.status_check_retry_timeout)
resp = self.client.get_service(location=self.service_url)
body = resp.json()
self.assertEqual(body['status'], 'deployed')
expected_origin = expected_service_details['origins']
for item in expected_origin:
if 'hostheadertype' not in item:
item['hostheadertype'] = 'domain'
elif item['hostheadertype'] == 'origin':
item['hostheadervalue'] = item['origin']
self.assert_patch_service_details(body, expected_service_details)
def tearDown(self):
self.client.delete_service(location=self.service_url)
if self.test_config.generate_flavors:
self.client.delete_flavor(flavor_id=self.flavor_id)
super(TestServicePatchWithLogDelivery, self).tearDown()
| 36.0217 | 79 | 0.556325 | 1,991 | 19,920 | 5.329483 | 0.118031 | 0.036283 | 0.038262 | 0.05598 | 0.817171 | 0.800584 | 0.779191 | 0.765149 | 0.761757 | 0.753558 | 0 | 0.007359 | 0.338303 | 19,920 | 552 | 80 | 36.086957 | 0.797663 | 0.071285 | 0 | 0.739857 | 0 | 0 | 0.112502 | 0.004227 | 0 | 0 | 0 | 0 | 0.064439 | 1 | 0.033413 | false | 0 | 0.011933 | 0 | 0.059666 | 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 |
3d35e58be20c3a6653aa45ceb0852b725999bd44 | 96,147 | py | Python | tests/composition/test_autodiffcomposition.py | bdsinger/PsyNeuLink | 71d8a0bb1691ff85061d4ad3de866d9930a69a73 | [
"Apache-2.0"
] | null | null | null | tests/composition/test_autodiffcomposition.py | bdsinger/PsyNeuLink | 71d8a0bb1691ff85061d4ad3de866d9930a69a73 | [
"Apache-2.0"
] | null | null | null | tests/composition/test_autodiffcomposition.py | bdsinger/PsyNeuLink | 71d8a0bb1691ff85061d4ad3de866d9930a69a73 | [
"Apache-2.0"
] | null | null | null | import logging
import timeit as timeit
import numpy as np
import pytest
import psyneulink as pnl
from psyneulink.core.components.functions.transferfunctions import Logistic
from psyneulink.core.components.mechanisms.processing.compositioninterfacemechanism import CompositionInterfaceMechanism
from psyneulink.core.components.mechanisms.processing.transfermechanism import TransferMechanism
from psyneulink.core.components.process import Process
from psyneulink.core.components.projections.pathway.mappingprojection import MappingProjection
from psyneulink.core.components.system import System
try:
import torch
from psyneulink.library.compositions.autodiffcomposition import AutodiffComposition
torch_available = True
except ImportError:
torch_available = False
logger = logging.getLogger(__name__)
# All tests are set to run. If you need to skip certain tests,
# see http://doc.pytest.org/en/latest/skipping.html
# Unit tests for functions of AutodiffComposition class that are new (not in Composition)
# or override functions in Composition
@pytest.mark.skipif(
not torch_available,
reason='Pytorch python module (torch) is not installed. Please install it with '
'`pip install torch` or `pip3 install torch`'
)
@pytest.mark.acconstructor
class TestACConstructor:
def test_no_args(self):
comp = AutodiffComposition()
assert isinstance(comp, AutodiffComposition)
def test_two_calls_no_args(self):
comp = AutodiffComposition()
comp_2 = AutodiffComposition()
assert isinstance(comp, AutodiffComposition)
assert isinstance(comp_2, AutodiffComposition)
# KAM removed this pytest 10/30 after removing target_CIM
# def test_target_CIM(self):
# comp = AutodiffComposition()
# assert isinstance(comp.target_CIM, CompositionInterfaceMechanism)
# assert comp.target_CIM.composition == comp
# assert comp.target_CIM_states == {}
def test_pytorch_representation(self):
comp = AutodiffComposition()
assert comp.pytorch_representation == None
def test_report_prefs(self):
comp = AutodiffComposition()
assert comp.input_CIM.reportOutputPref == False
assert comp.output_CIM.reportOutputPref == False
# assert comp.target_CIM.reportOutputPref == False
def test_patience(self):
comp = AutodiffComposition(patience=10)
assert comp.patience == 10
@pytest.mark.skipif(
not torch_available,
reason='Pytorch python module (torch) is not installed. Please install it with '
'`pip install torch` or `pip3 install torch`'
)
@pytest.mark.acmisc
class TestMiscTrainingFunctionality:
# test whether pytorch parameters are initialized to be identical to the Autodiff Composition's
# projections when AC is initialized with the "param_init_from_pnl" argument set to True
def test_param_init_from_pnl(self):
# create xor model mechanisms and projections
xor_in = TransferMechanism(name='xor_in',
default_variable=np.zeros(2))
xor_hid = TransferMechanism(name='xor_hid',
default_variable=np.zeros(10),
function=Logistic())
xor_out = TransferMechanism(name='xor_out',
default_variable=np.zeros(1),
function=Logistic())
hid_map = MappingProjection(matrix=np.random.rand(2,10))
out_map = MappingProjection(matrix=np.random.rand(10,1))
# put the mechanisms and projections together in an autodiff composition (AC)
xor = AutodiffComposition(param_init_from_pnl=True)
xor.add_node(xor_in)
xor.add_node(xor_hid)
xor.add_node(xor_out)
xor.add_projection(sender=xor_in, projection=hid_map, receiver=xor_hid)
xor.add_projection(sender=xor_hid, projection=out_map, receiver=xor_out)
# mini version of xor.execute just to build up pytorch representation
xor._analyze_graph()
xor._build_pytorch_representation(execution_id=xor.default_execution_id)
# check whether pytorch parameters are identical to projections
assert np.allclose(hid_map.parameters.matrix.get(None),
xor.parameters.pytorch_representation.get(xor).params[0].detach().numpy())
assert np.allclose(out_map.parameters.matrix.get(None),
xor.parameters.pytorch_representation.get(xor).params[1].detach().numpy())
# test whether processing doesn't interfere with pytorch parameters after training
def test_training_then_processing(self):
xor_in = TransferMechanism(name='xor_in',
default_variable=np.zeros(2))
xor_hid = TransferMechanism(name='xor_hid',
default_variable=np.zeros(10),
function=Logistic())
xor_out = TransferMechanism(name='xor_out',
default_variable=np.zeros(1),
function=Logistic())
hid_map = MappingProjection()
out_map = MappingProjection()
xor = AutodiffComposition(param_init_from_pnl=True)
xor.add_node(xor_in)
xor.add_node(xor_hid)
xor.add_node(xor_out)
xor.add_projection(sender=xor_in, projection=hid_map, receiver=xor_hid)
xor.add_projection(sender=xor_hid, projection=out_map, receiver=xor_out)
xor_inputs = np.array( # the inputs we will provide to the model
[[0, 0],
[0, 1],
[1, 0],
[1, 1]])
xor_targets = np.array( # the outputs we wish to see from the model
[[0],
[1],
[1],
[0]])
# train model for a few epochs
# results_before_proc = xor.run(inputs={xor_in:xor_inputs},
# targets={xor_out:xor_targets},
# epochs=10)
results_before_proc = xor.run(inputs = {"inputs": {xor_in:xor_inputs},
"targets": {xor_out:xor_targets},
"epochs": 10})
# get weight parameters from pytorch
pt_weights_hid_bp = xor.parameters.pytorch_representation.get(xor).params[0].detach().numpy().copy()
pt_weights_out_bp = xor.parameters.pytorch_representation.get(xor).params[1].detach().numpy().copy()
#KAM temporarily removed -- will reimplement when pytorch weights can be used in pure PNL execution
# do processing on a few inputs
# results_proc = xor.run(inputs={xor_in:xor_inputs})
# results_proc = xor.run(inputs={"inputs": {xor_in:xor_inputs}})
#
# # get weight parameters from pytorch
# pt_weights_hid_ap = xor.parameters.pytorch_representation.get(xor).params[0].detach().numpy().copy()
# pt_weights_out_ap = xor.parameters.pytorch_representation.get(xor).params[1].detach().numpy().copy()
#
# # check that weight parameters before and after processing are the same
# assert np.allclose(pt_weights_hid_bp, pt_weights_hid_ap)
# assert np.allclose(pt_weights_out_bp, pt_weights_out_ap)
@pytest.mark.parametrize(
'loss', ['l1', 'poissonnll']
)
def test_various_loss_specs(self, loss):
xor_in = TransferMechanism(name='xor_in',
default_variable=np.zeros(2))
xor_hid = TransferMechanism(name='xor_hid',
default_variable=np.zeros(10),
function=Logistic())
xor_out = TransferMechanism(name='xor_out',
default_variable=np.zeros(1),
function=Logistic())
hid_map = MappingProjection()
out_map = MappingProjection()
xor = AutodiffComposition(param_init_from_pnl=True, loss_spec=loss)
xor.add_node(xor_in)
xor.add_node(xor_hid)
xor.add_node(xor_out)
xor.add_projection(sender=xor_in, projection=hid_map, receiver=xor_hid)
xor.add_projection(sender=xor_hid, projection=out_map, receiver=xor_out)
xor_inputs = np.array( # the inputs we will provide to the model
[[0, 0],
[0, 1],
[1, 0],
[1, 1]])
xor_targets = np.array( # the outputs we wish to see from the model
[[0],
[1],
[1],
[0]])
xor.run(inputs = {"inputs": {xor_in:xor_inputs},
"targets": {xor_out:xor_targets},
"epochs": 10})
def test_pytorch_loss_spec(self):
ls = torch.nn.SoftMarginLoss(reduction='sum')
xor_in = TransferMechanism(name='xor_in',
default_variable=np.zeros(2))
xor_hid = TransferMechanism(name='xor_hid',
default_variable=np.zeros(10),
function=Logistic())
xor_out = TransferMechanism(name='xor_out',
default_variable=np.zeros(1),
function=Logistic())
hid_map = MappingProjection()
out_map = MappingProjection()
xor = AutodiffComposition(param_init_from_pnl=True, loss_spec=ls)
xor.add_node(xor_in)
xor.add_node(xor_hid)
xor.add_node(xor_out)
xor.add_projection(sender=xor_in, projection=hid_map, receiver=xor_hid)
xor.add_projection(sender=xor_hid, projection=out_map, receiver=xor_out)
xor_inputs = np.array( # the inputs we will provide to the model
[[0, 0],
[0, 1],
[1, 0],
[1, 1]])
xor_targets = np.array( # the outputs we wish to see from the model
[[0],
[1],
[1],
[0]])
xor.run(inputs={"inputs": {xor_in:xor_inputs},
"targets": {xor_out:xor_targets},
"epochs": 10})
xor.run(inputs={"inputs": {xor_in: xor_inputs},
"targets": {xor_out: xor_targets},
"epochs": 10})
@pytest.mark.parametrize(
'learning_rate, weight_decay, optimizer_type', [
(10, 0, 'sgd'), (1.5, 1, 'sgd'), (1.5, 1, 'adam'),
]
)
def test_optimizer_specs(self, learning_rate, weight_decay, optimizer_type):
xor_in = TransferMechanism(name='xor_in',
default_variable=np.zeros(2))
xor_hid = TransferMechanism(name='xor_hid',
default_variable=np.zeros(10),
function=Logistic())
xor_out = TransferMechanism(name='xor_out',
default_variable=np.zeros(1),
function=Logistic())
hid_map = MappingProjection()
out_map = MappingProjection()
xor = AutodiffComposition(param_init_from_pnl=True,
learning_rate=learning_rate,
optimizer_type=optimizer_type,
weight_decay=weight_decay)
xor.add_node(xor_in)
xor.add_node(xor_hid)
xor.add_node(xor_out)
xor.add_projection(sender=xor_in, projection=hid_map, receiver=xor_hid)
xor.add_projection(sender=xor_hid, projection=out_map, receiver=xor_out)
xor_inputs = np.array( # the inputs we will provide to the model
[[0, 0],
[0, 1],
[1, 0],
[1, 1]])
xor_targets = np.array( # the outputs we wish to see from the model
[[0],
[1],
[1],
[0]])
# train model for a few epochs
# results_before_proc = xor.run(inputs={xor_in:xor_inputs},
# targets={xor_out:xor_targets},
# epochs=10)
results_before_proc = xor.run(inputs = {"inputs": {xor_in:xor_inputs},
"targets": {xor_out:xor_targets},
"epochs": 10})
# test whether pytorch parameters and projections are kept separate (at diff. places in memory)
def test_params_stay_separate(self):
xor_in = TransferMechanism(name='xor_in',
default_variable=np.zeros(2))
xor_hid = TransferMechanism(name='xor_hid',
default_variable=np.zeros(10),
function=Logistic())
xor_out = TransferMechanism(name='xor_out',
default_variable=np.zeros(1),
function=Logistic())
hid_m = np.random.rand(2,10)
out_m = np.random.rand(10,1)
hid_map = MappingProjection(name='hid_map',
matrix=hid_m.copy(),
sender=xor_in,
receiver=xor_hid)
out_map = MappingProjection(name='out_map',
matrix=out_m.copy(),
sender=xor_hid,
receiver=xor_out)
xor = AutodiffComposition(param_init_from_pnl=True,
learning_rate=10.0,
optimizer_type="sgd")
xor.add_node(xor_in)
xor.add_node(xor_hid)
xor.add_node(xor_out)
xor.add_projection(sender=xor_in, projection=hid_map, receiver=xor_hid)
xor.add_projection(sender=xor_hid, projection=out_map, receiver=xor_out)
xor_inputs = np.array( # the inputs we will provide to the model
[[0, 0],
[0, 1],
[1, 0],
[1, 1]])
xor_targets = np.array( # the outputs we wish to see from the model
[[0],
[1],
[1],
[0]])
# train the model for a few epochs
result = xor.run(inputs={"inputs": {xor_in:xor_inputs},
"targets": {xor_out:xor_targets},
"epochs": 10})
# get weight parameters from pytorch
pt_weights_hid = xor.parameters.pytorch_representation.get(xor).params[0].detach().numpy().copy()
pt_weights_out = xor.parameters.pytorch_representation.get(xor).params[1].detach().numpy().copy()
# assert that projections are still what they were initialized as
assert np.allclose(hid_map.parameters.matrix.get(None), hid_m)
assert np.allclose(out_map.parameters.matrix.get(None), out_m)
# assert that projections didn't change during training with the pytorch
# parameters (they should now be different)
assert not np.allclose(pt_weights_hid, hid_map.parameters.matrix.get(None))
assert not np.allclose(pt_weights_out, out_map.parameters.matrix.get(None))
# test whether the autodiff composition's get_parameters method works as desired
def test_get_params(self):
xor_in = TransferMechanism(name='xor_in',
default_variable=np.zeros(2))
xor_hid = TransferMechanism(name='xor_hid',
default_variable=np.zeros(10),
function=Logistic())
xor_out = TransferMechanism(name='xor_out',
default_variable=np.zeros(1),
function=Logistic())
hid_map = MappingProjection(matrix=np.random.rand(2,10))
out_map = MappingProjection(matrix=np.random.rand(10,1))
xor = AutodiffComposition(param_init_from_pnl=True,
learning_rate=1.0)
xor.add_node(xor_in)
xor.add_node(xor_hid)
xor.add_node(xor_out)
xor.add_projection(sender=xor_in, projection=hid_map, receiver=xor_hid)
xor.add_projection(sender=xor_hid, projection=out_map, receiver=xor_out)
xor_inputs = np.array( # the inputs we will provide to the model
[[0, 0],
[0, 1],
[1, 0],
[1, 1]])
xor_targets = np.array( # the outputs we wish to see from the model
[[0],
[1],
[1],
[0]])
# call run to only process the inputs, so that pytorch representation of AC gets created
# results = xor.run(inputs={xor_in:xor_inputs})
#KAM Changed 11/1/18
# mini version of xor.execute just to build up pytorch representation
xor._analyze_graph()
# CW changed 12/3/18
xor._build_pytorch_representation(xor.default_execution_id)
# OLD
# xor._build_pytorch_representation()
# call get_parameters to obtain a copy of the pytorch parameters in numpy arrays,
# and get the parameters straight from pytorch
weights_get_params = xor.get_parameters()[0]
weights_straight_1 = xor.parameters.pytorch_representation.get(xor).params[0]
weights_straight_2 = xor.parameters.pytorch_representation.get(xor).params[1]
# check that parameter copies obtained from get_parameters are the same as the
# projections and parameters from pytorch
assert np.allclose(hid_map.parameters.matrix.get(None), weights_get_params[hid_map])
assert np.allclose(weights_straight_1.detach().numpy(), weights_get_params[hid_map])
assert np.allclose(out_map.parameters.matrix.get(None), weights_get_params[out_map])
assert np.allclose(weights_straight_2.detach().numpy(), weights_get_params[out_map])
# call run to train the pytorch parameters
results = xor.run(inputs={"inputs": {xor_in:xor_inputs},
"targets": {xor_out:xor_targets},
"epochs": 10})
# check that the parameter copies obtained from get_parameters have not changed with the
# pytorch parameters during training (and are thus at a different memory location)
assert not np.allclose(weights_straight_1.detach().numpy(), weights_get_params[hid_map])
assert not np.allclose(weights_straight_2.detach().numpy(), weights_get_params[out_map])
@pytest.mark.skipif(
not torch_available,
reason='Pytorch python module (torch) is not installed. Please install it with '
'`pip install torch` or `pip3 install torch`'
)
@pytest.mark.accorrectness
class TestTrainingCorrectness:
# test whether xor model created as autodiff composition learns properly
@pytest.mark.parametrize(
'eps, calls, opt, from_pnl_or_no', [
(2000, 'single', 'adam', True),
# (6000, 'multiple', 'adam', True),
(2000, 'single', 'adam', False),
# (6000, 'multiple', 'adam', False)
]
)
def test_xor_training_correctness(self, eps, calls, opt, from_pnl_or_no):
xor_in = TransferMechanism(name='xor_in',
default_variable=np.zeros(2))
xor_hid = TransferMechanism(name='xor_hid',
default_variable=np.zeros(10),
function=Logistic())
xor_out = TransferMechanism(name='xor_out',
default_variable=np.zeros(1),
function=Logistic())
hid_map = MappingProjection(matrix=np.random.rand(2,10), sender=xor_in, receiver=xor_hid)
out_map = MappingProjection(matrix=np.random.rand(10,1))
xor = AutodiffComposition(param_init_from_pnl=from_pnl_or_no,
optimizer_type=opt,
learning_rate=0.1)
xor.add_node(xor_in)
xor.add_node(xor_hid)
xor.add_node(xor_out)
xor.add_projection(sender=xor_in, projection=hid_map, receiver=xor_hid)
xor.add_projection(sender=xor_hid, projection=out_map, receiver=xor_out)
xor_inputs = np.array( # the inputs we will provide to the model
[[0, 0],
[0, 1],
[1, 0],
[1, 1]])
xor_targets = np.array( # the outputs we wish to see from the model
[[0],
[1],
[1],
[0]])
if calls == 'single':
results = xor.run(inputs={"inputs": {xor_in:xor_inputs},
"targets": {xor_out:xor_targets},
"epochs": eps}
)
for i in range(len(results[0])):
assert np.allclose(np.round(results[0][i][0]), xor_targets[i])
else:
results = xor.run(inputs={"inputs": {xor_in:xor_inputs},
"targets": {xor_out:xor_targets},
"epochs": 1}
)
for i in range(eps-1):
results = xor.run(inputs={"inputs": {xor_in:xor_inputs},
"targets": {xor_out:xor_targets},
"epochs": 1}
)
for i in range(len(results[eps-1])):
assert np.allclose(np.round(results[eps-1][i][0]), xor_targets[i])
# tests whether semantic network created as autodiff composition learns properly
@pytest.mark.parametrize(
'eps, opt, from_pnl_or_no', [
(1000, 'adam', True),
# (1000, 'adam', False)
]
)
def test_semantic_net_training_correctness(self, eps, opt, from_pnl_or_no):
# MECHANISMS FOR SEMANTIC NET:
nouns_in = TransferMechanism(name="nouns_input",
default_variable=np.zeros(8))
rels_in = TransferMechanism(name="rels_input",
default_variable=np.zeros(3))
h1 = TransferMechanism(name="hidden_nouns",
default_variable=np.zeros(8),
function=Logistic())
h2 = TransferMechanism(name="hidden_mixed",
default_variable=np.zeros(15),
function=Logistic())
out_sig_I = TransferMechanism(name="sig_outs_I",
default_variable=np.zeros(8),
function=Logistic())
out_sig_is = TransferMechanism(name="sig_outs_is",
default_variable=np.zeros(12),
function=Logistic())
out_sig_has = TransferMechanism(name="sig_outs_has",
default_variable=np.zeros(9),
function=Logistic())
out_sig_can = TransferMechanism(name="sig_outs_can",
default_variable=np.zeros(9),
function=Logistic())
# SET UP PROJECTIONS FOR SEMANTIC NET
map_nouns_h1 = MappingProjection(matrix=np.random.rand(8,8),
name="map_nouns_h1",
sender=nouns_in,
receiver=h1)
map_rels_h2 = MappingProjection(matrix=np.random.rand(3,15),
name="map_relh2",
sender=rels_in,
receiver=h2)
map_h1_h2 = MappingProjection(matrix=np.random.rand(8,15),
name="map_h1_h2",
sender=h1,
receiver=h2)
map_h2_I = MappingProjection(matrix=np.random.rand(15,8),
name="map_h2_I",
sender=h2,
receiver=out_sig_I)
map_h2_is = MappingProjection(matrix=np.random.rand(15,12),
name="map_h2_is",
sender=h2,
receiver=out_sig_is)
map_h2_has = MappingProjection(matrix=np.random.rand(15,9),
name="map_h2_has",
sender=h2,
receiver=out_sig_has)
map_h2_can = MappingProjection(matrix=np.random.rand(15,9),
name="map_h2_can",
sender=h2,
receiver=out_sig_can)
# COMPOSITION FOR SEMANTIC NET
sem_net = AutodiffComposition(param_init_from_pnl=from_pnl_or_no,
optimizer_type=opt, learning_rate=0.001)
sem_net.add_node(nouns_in)
sem_net.add_node(rels_in)
sem_net.add_node(h1)
sem_net.add_node(h2)
sem_net.add_node(out_sig_I)
sem_net.add_node(out_sig_is)
sem_net.add_node(out_sig_has)
sem_net.add_node(out_sig_can)
sem_net.add_projection(sender=nouns_in, projection=map_nouns_h1, receiver=h1)
sem_net.add_projection(sender=rels_in, projection=map_rels_h2, receiver=h2)
sem_net.add_projection(sender=h1, projection=map_h1_h2, receiver=h2)
sem_net.add_projection(sender=h2, projection=map_h2_I, receiver=out_sig_I)
sem_net.add_projection(sender=h2, projection=map_h2_is, receiver=out_sig_is)
sem_net.add_projection(sender=h2, projection=map_h2_has, receiver=out_sig_has)
sem_net.add_projection(sender=h2, projection=map_h2_can, receiver=out_sig_can)
# INPUTS & OUTPUTS FOR SEMANTIC NET:
nouns = ['oak', 'pine', 'rose', 'daisy', 'canary', 'robin', 'salmon', 'sunfish']
relations = ['is', 'has', 'can']
is_list = ['living', 'living thing', 'plant', 'animal', 'tree', 'flower', 'bird', 'fish', 'big', 'green', 'red',
'yellow']
has_list = ['roots', 'leaves', 'bark', 'branches', 'skin', 'feathers', 'wings', 'gills', 'scales']
can_list = ['grow', 'move', 'swim', 'fly', 'breathe', 'breathe underwater', 'breathe air', 'walk', 'photosynthesize']
nouns_input = np.identity(len(nouns))
rels_input = np.identity(len(relations))
truth_nouns = np.identity(len(nouns))
truth_is = np.zeros((len(nouns), len(is_list)))
truth_is[0, :] = [1, 1, 1, 0, 1, 0, 0, 0, 1, 1, 0, 0]
truth_is[1, :] = [1, 1, 1, 0, 1, 0, 0, 0, 1, 1, 0, 0]
truth_is[2, :] = [1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0]
truth_is[3, :] = [1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1]
truth_is[4, :] = [1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1]
truth_is[5, :] = [1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0]
truth_is[6, :] = [1, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0]
truth_is[7, :] = [1, 1, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0]
truth_has = np.zeros((len(nouns), len(has_list)))
truth_has[0, :] = [1, 1, 1, 1, 0, 0, 0, 0, 0]
truth_has[1, :] = [1, 1, 1, 1, 0, 0, 0, 0, 0]
truth_has[2, :] = [1, 1, 0, 0, 0, 0, 0, 0, 0]
truth_has[3, :] = [1, 1, 0, 0, 0, 0, 0, 0, 0]
truth_has[4, :] = [0, 0, 0, 0, 1, 1, 1, 0, 0]
truth_has[5, :] = [0, 0, 0, 0, 1, 1, 1, 0, 0]
truth_has[6, :] = [0, 0, 0, 0, 0, 0, 0, 1, 1]
truth_has[7, :] = [0, 0, 0, 0, 0, 0, 0, 1, 1]
truth_can = np.zeros((len(nouns), len(can_list)))
truth_can[0, :] = [1, 0, 0, 0, 0, 0, 0, 0, 1]
truth_can[1, :] = [1, 0, 0, 0, 0, 0, 0, 0, 1]
truth_can[2, :] = [1, 0, 0, 0, 0, 0, 0, 0, 1]
truth_can[3, :] = [1, 0, 0, 0, 0, 0, 0, 0, 1]
truth_can[4, :] = [1, 1, 0, 1, 1, 0, 1, 1, 0]
truth_can[5, :] = [1, 1, 0, 1, 1, 0, 1, 1, 0]
truth_can[6, :] = [1, 1, 1, 0, 1, 1, 0, 0, 0]
truth_can[7, :] = [1, 1, 1, 0, 1, 1, 0, 0, 0]
# SETTING UP DICTIONARY OF INPUTS/OUTPUTS FOR SEMANTIC NET
inputs_dict = {}
inputs_dict[nouns_in] = []
inputs_dict[rels_in] = []
targets_dict = {}
targets_dict[out_sig_I] = []
targets_dict[out_sig_is] = []
targets_dict[out_sig_has] = []
targets_dict[out_sig_can] = []
for i in range(len(nouns)):
for j in range(len(relations)):
inputs_dict[nouns_in].append(nouns_input[i])
inputs_dict[rels_in].append(rels_input[j])
targets_dict[out_sig_I].append(truth_nouns[i])
targets_dict[out_sig_is].append(truth_is[i])
targets_dict[out_sig_has].append(truth_has[i])
targets_dict[out_sig_can].append(truth_can[i])
# TRAIN THE MODEL
result = sem_net.run(inputs=[{'inputs': inputs_dict,
'targets': targets_dict,
'epochs': eps}])
# CHECK CORRECTNESS
for i in range(len(result[0])): # go over trial outputs in the single results entry
for j in range(len(result[0][i])): # go over outputs for each output layer
# get target for terminal node whose output state corresponds to current output
correct_value = None
curr_CIM_input_state = sem_net.output_CIM.input_states[j]
for output_state in sem_net.output_CIM_states.keys():
if sem_net.output_CIM_states[output_state][0] == curr_CIM_input_state:
node = output_state.owner
correct_value = targets_dict[node][i]
# compare model output for terminal node on current trial with target for terminal node on current trial
assert np.allclose(np.round(result[0][i][j]), correct_value)
@pytest.mark.skipif(
not torch_available,
reason='Pytorch python module (torch) is not installed. Please install it with '
'`pip install torch` or `pip3 install torch`'
)
@pytest.mark.actime
class TestTrainingTime:
@pytest.mark.skip
@pytest.mark.parametrize(
'eps, opt', [
(1, 'sgd'),
(10, 'sgd'),
(100, 'sgd')
]
)
def test_and_training_time(self, eps, opt):
# SET UP MECHANISMS FOR COMPOSITION
and_in = TransferMechanism(name='and_in',
default_variable=np.zeros(2))
and_out = TransferMechanism(name='and_out',
default_variable=np.zeros(1),
function=Logistic())
# SET UP MECHANISMS FOR SYSTEM
and_in_sys = TransferMechanism(name='and_in_sys',
default_variable=np.zeros(2))
and_out_sys = TransferMechanism(name='and_out_sys',
default_variable=np.zeros(1),
function=Logistic())
# SET UP PROJECTIONS FOR COMPOSITION
and_map = MappingProjection(name='and_map',
matrix=np.random.rand(2, 1),
sender=and_in,
receiver=and_out)
# SET UP PROJECTIONS FOR SYSTEM
and_map_sys = MappingProjection(name='and_map_sys',
matrix=and_map.matrix.copy(),
sender=and_in_sys,
receiver=and_out_sys)
# SET UP COMPOSITION
and_net = AutodiffComposition(param_init_from_pnl=True)
and_net.add_node(and_in)
and_net.add_node(and_out)
and_net.add_projection(sender=and_in, projection=and_map, receiver=and_out)
# SET UP INPUTS AND TARGETS
and_inputs = np.zeros((4,2))
and_inputs[0] = [0, 0]
and_inputs[1] = [0, 1]
and_inputs[2] = [1, 0]
and_inputs[3] = [1, 1]
and_targets = np.zeros((4,1))
and_targets[0] = [0]
and_targets[1] = [1]
and_targets[2] = [1]
and_targets[3] = [0]
# TIME TRAINING FOR COMPOSITION
start = timeit.default_timer()
result = and_net.run(inputs={and_in:and_inputs},
targets={and_out:and_targets},
epochs=eps,
learning_rate=0.1,
controller=opt)
end = timeit.default_timer()
comp_time = end - start
# SET UP SYSTEM
and_process = Process(pathway=[and_in_sys,
and_map_sys,
and_out_sys],
learning=pnl.LEARNING)
and_sys = System(processes=[and_process],
learning_rate=0.1)
# TIME TRAINING FOR SYSTEM
start = timeit.default_timer()
results_sys = and_sys.run(inputs={and_in_sys:and_inputs},
targets={and_out_sys:and_targets},
num_trials=(eps*and_inputs.shape[0]+1))
end = timeit.default_timer()
sys_time = end - start
# LOG TIMES, SPEEDUP PROVIDED BY COMPOSITION OVER SYSTEM
msg = 'Training XOR model as AutodiffComposition for {0} epochs took {1} seconds'.format(eps, comp_time)
print(msg)
print("\n")
logger.info(msg)
msg = 'Training XOR model as System for {0} epochs took {1} seconds'.format(eps, sys_time)
print(msg)
print("\n")
logger.info(msg)
speedup = np.round((sys_time/comp_time), decimals=2)
msg = ('Training XOR model as AutodiffComposition for {0} epochs was {1} times faster than '
'training it as System for {0} epochs.'.format(eps, speedup))
print(msg)
logger.info(msg)
@pytest.mark.skip
@pytest.mark.parametrize(
'eps, opt', [
(1, 'sgd'),
(10, 'sgd'),
(100, 'sgd')
]
)
def test_xor_training_time(self, eps, opt):
# SET UP MECHANISMS FOR COMPOSITION
xor_in = TransferMechanism(name='xor_in',
default_variable=np.zeros(2))
xor_hid = TransferMechanism(name='xor_hid',
default_variable=np.zeros(10),
function=Logistic())
xor_out = TransferMechanism(name='xor_out',
default_variable=np.zeros(1),
function=Logistic())
# SET UP MECHANISMS FOR SYSTEM
xor_in_sys = TransferMechanism(name='xor_in_sys',
default_variable=np.zeros(2))
xor_hid_sys = TransferMechanism(name='xor_hid_sys',
default_variable=np.zeros(10),
function=Logistic())
xor_out_sys = TransferMechanism(name='xor_out_sys',
default_variable=np.zeros(1),
function=Logistic())
# SET UP PROJECTIONS FOR COMPOSITION
hid_map = MappingProjection(name='hid_map',
matrix=np.random.rand(2,10),
sender=xor_in,
receiver=xor_hid)
out_map = MappingProjection(name='out_map',
matrix=np.random.rand(10,1),
sender=xor_hid,
receiver=xor_out)
# SET UP PROJECTIONS FOR SYSTEM
hid_map_sys = MappingProjection(name='hid_map_sys',
matrix=hid_map.matrix.copy(),
sender=xor_in_sys,
receiver=xor_hid_sys)
out_map_sys = MappingProjection(name='out_map_sys',
matrix=out_map.matrix.copy(),
sender=xor_hid_sys,
receiver=xor_out_sys)
# SET UP COMPOSITION
xor = AutodiffComposition(param_init_from_pnl=True)
xor.add_node(xor_in)
xor.add_node(xor_hid)
xor.add_node(xor_out)
xor.add_projection(sender=xor_in, projection=hid_map, receiver=xor_hid)
xor.add_projection(sender=xor_hid, projection=out_map, receiver=xor_out)
# SET UP INPUTS AND TARGETS
xor_inputs = np.array( # the inputs we will provide to the model
[[0, 0],
[0, 1],
[1, 0],
[1, 1]])
xor_targets = np.array( # the outputs we wish to see from the model
[[0],
[1],
[1],
[0]])
# TIME TRAINING FOR COMPOSITION
start = timeit.default_timer()
result = xor.run(inputs={xor_in:xor_inputs},
targets={xor_out:xor_targets},
epochs=eps,
learning_rate=0.1,
controller=opt)
end = timeit.default_timer()
comp_time = end - start
# SET UP SYSTEM
xor_process = Process(pathway=[xor_in_sys,
hid_map_sys,
xor_hid_sys,
out_map_sys,
xor_out_sys],
learning=pnl.LEARNING)
xor_sys = System(processes=[xor_process],
learning_rate=0.1)
# TIME TRAINING FOR SYSTEM
start = timeit.default_timer()
results_sys = xor_sys.run(inputs={xor_in_sys:xor_inputs},
targets={xor_out_sys:xor_targets},
num_trials=(eps*xor_inputs.shape[0]+1))
end = timeit.default_timer()
sys_time = end - start
# LOG TIMES, SPEEDUP PROVIDED BY COMPOSITION OVER SYSTEM
msg = 'Training XOR model as AutodiffComposition for {0} epochs took {1} seconds'.format(eps, comp_time)
print(msg)
print("\n")
logger.info(msg)
msg = 'Training XOR model as System for {0} epochs took {1} seconds'.format(eps, sys_time)
print(msg)
print("\n")
logger.info(msg)
speedup = np.round((sys_time/comp_time), decimals=2)
msg = ('Training XOR model as AutodiffComposition for {0} epochs was {1} times faster than '
'training it as System for {0} epochs.'.format(eps, speedup))
print(msg)
logger.info(msg)
@pytest.mark.skip
@pytest.mark.parametrize(
'eps, opt', [
(1, 'sgd'),
(10, 'sgd'),
(100, 'sgd')
]
)
def test_semantic_net_training_time(self, eps, opt):
# SET UP MECHANISMS FOR COMPOSITION:
nouns_in = TransferMechanism(name="nouns_input",
default_variable=np.zeros(8))
rels_in = TransferMechanism(name="rels_input",
default_variable=np.zeros(3))
h1 = TransferMechanism(name="hidden_nouns",
default_variable=np.zeros(8),
function=Logistic())
h2 = TransferMechanism(name="hidden_mixed",
default_variable=np.zeros(15),
function=Logistic())
out_sig_I = TransferMechanism(name="sig_outs_I",
default_variable=np.zeros(8),
function=Logistic())
out_sig_is = TransferMechanism(name="sig_outs_is",
default_variable=np.zeros(12),
function=Logistic())
out_sig_has = TransferMechanism(name="sig_outs_has",
default_variable=np.zeros(9),
function=Logistic())
out_sig_can = TransferMechanism(name="sig_outs_can",
default_variable=np.zeros(9),
function=Logistic())
# SET UP MECHANISMS FOR SYSTEM
nouns_in_sys = TransferMechanism(name="nouns_input_sys",
default_variable=np.zeros(8))
rels_in_sys = TransferMechanism(name="rels_input_sys",
default_variable=np.zeros(3))
h1_sys = TransferMechanism(name="hidden_nouns_sys",
default_variable=np.zeros(8),
function=Logistic())
h2_sys = TransferMechanism(name="hidden_mixed_sys",
default_variable=np.zeros(15),
function=Logistic())
out_sig_I_sys = TransferMechanism(name="sig_outs_I_sys",
default_variable=np.zeros(8),
function=Logistic())
out_sig_is_sys = TransferMechanism(name="sig_outs_is_sys",
default_variable=np.zeros(12),
function=Logistic())
out_sig_has_sys = TransferMechanism(name="sig_outs_has_sys",
default_variable=np.zeros(9),
function=Logistic())
out_sig_can_sys = TransferMechanism(name="sig_outs_can_sys",
default_variable=np.zeros(9),
function=Logistic())
# SET UP PROJECTIONS FOR COMPOSITION
map_nouns_h1 = MappingProjection(matrix=np.random.rand(8,8),
name="map_nouns_h1",
sender=nouns_in,
receiver=h1)
map_rels_h2 = MappingProjection(matrix=np.random.rand(3,15),
name="map_rel_h2",
sender=rels_in,
receiver=h2)
map_h1_h2 = MappingProjection(matrix=np.random.rand(8,15),
name="map_h1_h2",
sender=h1,
receiver=h2)
map_h2_I = MappingProjection(matrix=np.random.rand(15,8),
name="map_h2_I",
sender=h2,
receiver=out_sig_I)
map_h2_is = MappingProjection(matrix=np.random.rand(15,12),
name="map_h2_is",
sender=h2,
receiver=out_sig_is)
map_h2_has = MappingProjection(matrix=np.random.rand(15,9),
name="map_h2_has",
sender=h2,
receiver=out_sig_has)
map_h2_can = MappingProjection(matrix=np.random.rand(15,9),
name="map_h2_can",
sender=h2,
receiver=out_sig_can)
# SET UP PROJECTIONS FOR SYSTEM
map_nouns_h1_sys = MappingProjection(matrix=map_nouns_h1.matrix.copy(),
name="map_nouns_h1_sys",
sender=nouns_in_sys,
receiver=h1_sys)
map_rels_h2_sys = MappingProjection(matrix=map_rels_h2.matrix.copy(),
name="map_relh2_sys",
sender=rels_in_sys,
receiver=h2_sys)
map_h1_h2_sys = MappingProjection(matrix=map_h1_h2.matrix.copy(),
name="map_h1_h2_sys",
sender=h1_sys,
receiver=h2_sys)
map_h2_I_sys = MappingProjection(matrix=map_h2_I.matrix.copy(),
name="map_h2_I_sys",
sender=h2_sys,
receiver=out_sig_I_sys)
map_h2_is_sys = MappingProjection(matrix=map_h2_is.matrix.copy(),
name="map_h2_is_sys",
sender=h2_sys,
receiver=out_sig_is_sys)
map_h2_has_sys = MappingProjection(matrix=map_h2_has.matrix.copy(),
name="map_h2_has_sys",
sender=h2_sys,
receiver=out_sig_has_sys)
map_h2_can_sys = MappingProjection(matrix=map_h2_can.matrix.copy(),
name="map_h2_can_sys",
sender=h2_sys,
receiver=out_sig_can_sys)
# COMPOSITION FOR SEMANTIC NET
sem_net = AutodiffComposition(param_init_from_pnl=True)
sem_net.add_node(nouns_in)
sem_net.add_node(rels_in)
sem_net.add_node(h1)
sem_net.add_node(h2)
sem_net.add_node(out_sig_I)
sem_net.add_node(out_sig_is)
sem_net.add_node(out_sig_has)
sem_net.add_node(out_sig_can)
sem_net.add_projection(sender=nouns_in, projection=map_nouns_h1, receiver=h1)
sem_net.add_projection(sender=rels_in, projection=map_rels_h2, receiver=h2)
sem_net.add_projection(sender=h1, projection=map_h1_h2, receiver=h2)
sem_net.add_projection(sender=h2, projection=map_h2_I, receiver=out_sig_I)
sem_net.add_projection(sender=h2, projection=map_h2_is, receiver=out_sig_is)
sem_net.add_projection(sender=h2, projection=map_h2_has, receiver=out_sig_has)
sem_net.add_projection(sender=h2, projection=map_h2_can, receiver=out_sig_can)
# INPUTS & OUTPUTS FOR SEMANTIC NET:
nouns = ['oak', 'pine', 'rose', 'daisy', 'canary', 'robin', 'salmon', 'sunfish']
relations = ['is', 'has', 'can']
is_list = ['living', 'living thing', 'plant', 'animal', 'tree', 'flower', 'bird', 'fish', 'big', 'green', 'red',
'yellow']
has_list = ['roots', 'leaves', 'bark', 'branches', 'skin', 'feathers', 'wings', 'gills', 'scales']
can_list = ['grow', 'move', 'swim', 'fly', 'breathe', 'breathe underwater', 'breathe air', 'walk', 'photosynthesize']
nouns_input = np.identity(len(nouns))
rels_input = np.identity(len(relations))
truth_nouns = np.identity(len(nouns))
truth_is = np.zeros((len(nouns), len(is_list)))
truth_is[0, :] = [1, 1, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0]
truth_is[1, :] = [1, 1, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0]
truth_is[2, :] = [1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0]
truth_is[3, :] = [1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0]
truth_is[4, :] = [1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1]
truth_is[5, :] = [1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1]
truth_is[6, :] = [1, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0]
truth_is[7, :] = [1, 1, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0]
truth_has = np.zeros((len(nouns), len(has_list)))
truth_has[0, :] = [1, 1, 1, 1, 0, 0, 0, 0, 0]
truth_has[1, :] = [1, 1, 1, 1, 0, 0, 0, 0, 0]
truth_has[2, :] = [1, 1, 0, 0, 0, 0, 0, 0, 0]
truth_has[3, :] = [1, 1, 0, 0, 0, 0, 0, 0, 0]
truth_has[4, :] = [0, 0, 0, 0, 1, 1, 1, 0, 0]
truth_has[5, :] = [0, 0, 0, 0, 1, 1, 1, 0, 0]
truth_has[6, :] = [0, 0, 0, 0, 0, 0, 0, 1, 1]
truth_has[7, :] = [0, 0, 0, 0, 0, 0, 0, 1, 1]
truth_can = np.zeros((len(nouns), len(can_list)))
truth_can[0, :] = [1, 0, 0, 0, 0, 0, 0, 0, 1]
truth_can[1, :] = [1, 0, 0, 0, 0, 0, 0, 0, 1]
truth_can[2, :] = [1, 0, 0, 0, 0, 0, 0, 0, 1]
truth_can[3, :] = [1, 0, 0, 0, 0, 0, 0, 0, 1]
truth_can[4, :] = [1, 1, 0, 1, 1, 0, 1, 1, 0]
truth_can[5, :] = [1, 1, 0, 1, 1, 0, 1, 1, 0]
truth_can[6, :] = [1, 1, 1, 0, 1, 1, 0, 0, 0]
truth_can[7, :] = [1, 1, 1, 0, 1, 1, 0, 0, 0]
# SETTING UP DICTIONARIES OF INPUTS/OUTPUTS FOR SEMANTIC NET
inputs_dict = {}
inputs_dict[nouns_in] = []
inputs_dict[rels_in] = []
targets_dict = {}
targets_dict[out_sig_I] = []
targets_dict[out_sig_is] = []
targets_dict[out_sig_has] = []
targets_dict[out_sig_can] = []
for i in range(len(nouns)):
for j in range(len(relations)):
inputs_dict[nouns_in].append(nouns_input[i])
inputs_dict[rels_in].append(rels_input[j])
targets_dict[out_sig_I].append(truth_nouns[i])
targets_dict[out_sig_is].append(truth_is[i])
targets_dict[out_sig_has].append(truth_has[i])
targets_dict[out_sig_can].append(truth_can[i])
inputs_dict_sys = {}
inputs_dict_sys[nouns_in_sys] = inputs_dict[nouns_in]
inputs_dict_sys[rels_in_sys] = inputs_dict[rels_in]
targets_dict_sys = {}
targets_dict_sys[out_sig_I_sys] = targets_dict[out_sig_I]
targets_dict_sys[out_sig_is_sys] = targets_dict[out_sig_is]
targets_dict_sys[out_sig_has_sys] = targets_dict[out_sig_has]
targets_dict_sys[out_sig_can_sys] = targets_dict[out_sig_can]
# TIME TRAINING FOR COMPOSITION
start = timeit.default_timer()
result = sem_net.run(inputs=inputs_dict,
targets=targets_dict,
epochs=eps,
learning_rate=0.1,
controller=opt)
end = timeit.default_timer()
comp_time = end - start
# SET UP SYSTEM
p11 = Process(pathway=[nouns_in_sys,
map_nouns_h1_sys,
h1_sys,
map_h1_h2_sys,
h2_sys,
map_h2_I_sys,
out_sig_I_sys],
learning=pnl.LEARNING)
p12 = Process(pathway=[rels_in_sys,
map_rels_h2_sys,
h2_sys,
map_h2_is_sys,
out_sig_is_sys],
learning=pnl.LEARNING)
p21 = Process(pathway=[h2_sys,
map_h2_has_sys,
out_sig_has_sys],
learning=pnl.LEARNING)
p22 = Process(pathway=[h2_sys,
map_h2_can_sys,
out_sig_can_sys],
learning=pnl.LEARNING)
sem_net_sys = System(processes=[p11,
p12,
p21,
p22,
],
learning_rate=0.1)
# TIME TRAINING FOR SYSTEM
start = timeit.default_timer()
results = sem_net_sys.run(inputs=inputs_dict_sys,
targets=targets_dict_sys,
num_trials=(len(inputs_dict[nouns_in])*eps + 1))
end = timeit.default_timer()
sys_time = end - start
# LOG TIMES, SPEEDUP PROVIDED BY COMPOSITION OVER SYSTEM
msg = 'Training Semantic net as AutodiffComposition for {0} epochs took {1} seconds'.format(eps, comp_time)
print(msg)
print("\n")
logger.info(msg)
msg = 'Training Semantic net as System for {0} epochs took {1} seconds'.format(eps, sys_time)
print(msg)
print("\n")
logger.info(msg)
speedup = np.round((sys_time/comp_time), decimals=2)
msg = ('Training Semantic net as AutodiffComposition for {0} epochs was {1} times faster than '
'training it as System for {0} epochs.'.format(eps, speedup))
print(msg)
logger.info(msg)
@pytest.mark.skipif(
not torch_available,
reason='Pytorch python module (torch) is not installed. Please install it with '
'`pip install torch` or `pip3 install torch`'
)
@pytest.mark.acidenticalness
class TestTrainingIdenticalness():
@pytest.mark.parametrize(
'eps, opt', [
# (1, 'sgd'),
(10, 'sgd'),
# (100, 'sgd')
]
)
def test_xor_training_identicalness(self, eps, opt):
# SET UP MECHANISMS FOR COMPOSITION
xor_in = TransferMechanism(name='xor_in',
default_variable=np.zeros(2))
xor_hid = TransferMechanism(name='xor_hid',
default_variable=np.zeros(10),
function=Logistic())
xor_out = TransferMechanism(name='xor_out',
default_variable=np.zeros(1),
function=Logistic())
# SET UP MECHANISMS FOR SYSTEM
xor_in_sys = TransferMechanism(name='xor_in_sys',
default_variable=np.zeros(2))
xor_hid_sys = TransferMechanism(name='xor_hid_sys',
default_variable=np.zeros(10),
function=Logistic())
xor_out_sys = TransferMechanism(name='xor_out_sys',
default_variable=np.zeros(1),
function=Logistic())
# SET UP PROJECTIONS FOR COMPOSITION
hid_map = MappingProjection(name='hid_map',
matrix=np.random.rand(2,10),
sender=xor_in,
receiver=xor_hid)
out_map = MappingProjection(name='out_map',
matrix=np.random.rand(10,1),
sender=xor_hid,
receiver=xor_out)
# SET UP PROJECTIONS FOR SYSTEM
hid_map_sys = MappingProjection(name='hid_map_sys',
matrix=hid_map.matrix.copy(),
sender=xor_in_sys,
receiver=xor_hid_sys)
out_map_sys = MappingProjection(name='out_map_sys',
matrix=out_map.matrix.copy(),
sender=xor_hid_sys,
receiver=xor_out_sys)
# SET UP COMPOSITION
xor = AutodiffComposition(param_init_from_pnl=True,
learning_rate=10,
optimizer_type=opt)
xor.add_node(xor_in)
xor.add_node(xor_hid)
xor.add_node(xor_out)
xor.add_projection(sender=xor_in, projection=hid_map, receiver=xor_hid)
xor.add_projection(sender=xor_hid, projection=out_map, receiver=xor_out)
# SET UP INPUTS AND TARGETS
xor_inputs = np.array( # the inputs we will provide to the model
[[0, 0],
[0, 1],
[1, 0],
[1, 1]])
xor_targets = np.array( # the outputs we wish to see from the model
[[0],
[1],
[1],
[0]])
# TRAIN COMPOSITION
inputs_dict = {"inputs": {xor_in:xor_inputs},
"targets": {xor_out:xor_targets},
"epochs": eps}
result = xor.run(inputs=inputs_dict)
comp_weights = xor.get_parameters()[0]
# SET UP SYSTEM
xor_process = Process(pathway=[xor_in_sys,
hid_map_sys,
xor_hid_sys,
out_map_sys,
xor_out_sys],
learning=pnl.LEARNING)
xor_sys = System(processes=[xor_process],
learning_rate=10)
# TRAIN SYSTEM
results_sys = xor_sys.run(inputs={xor_in_sys:xor_inputs},
targets={xor_out_sys:xor_targets},
num_trials=(eps*xor_inputs.shape[0]))
# CHECK THAT PARAMETERS FOR COMPOSITION, SYSTEM ARE SAME
assert np.allclose(comp_weights[hid_map], hid_map_sys.get_mod_matrix(xor_sys))
assert np.allclose(comp_weights[out_map], out_map_sys.get_mod_matrix(xor_sys))
@pytest.mark.parametrize(
'eps, opt', [
# (1, 'sgd'),
(10, 'sgd'),
# (40, 'sgd')
]
)
def test_semantic_net_training_identicalness(self, eps, opt):
# SET UP MECHANISMS FOR SEMANTIC NET:
nouns_in = TransferMechanism(name="nouns_input",
default_variable=np.zeros(8))
rels_in = TransferMechanism(name="rels_input",
default_variable=np.zeros(3))
h1 = TransferMechanism(name="hidden_nouns",
default_variable=np.zeros(8),
function=Logistic())
h2 = TransferMechanism(name="hidden_mixed",
default_variable=np.zeros(15),
function=Logistic())
out_sig_I = TransferMechanism(name="sig_outs_I",
default_variable=np.zeros(8),
function=Logistic())
out_sig_is = TransferMechanism(name="sig_outs_is",
default_variable=np.zeros(12),
function=Logistic())
out_sig_has = TransferMechanism(name="sig_outs_has",
default_variable=np.zeros(9),
function=Logistic())
out_sig_can = TransferMechanism(name="sig_outs_can",
default_variable=np.zeros(9),
function=Logistic())
# SET UP MECHANISMS FOR SYSTEM
nouns_in_sys = TransferMechanism(name="nouns_input_sys",
default_variable=np.zeros(8))
rels_in_sys = TransferMechanism(name="rels_input_sys",
default_variable=np.zeros(3))
h1_sys = TransferMechanism(name="hidden_nouns_sys",
default_variable=np.zeros(8),
function=Logistic())
h2_sys = TransferMechanism(name="hidden_mixed_sys",
default_variable=np.zeros(15),
function=Logistic())
out_sig_I_sys = TransferMechanism(name="sig_outs_I_sys",
default_variable=np.zeros(8),
function=Logistic())
out_sig_is_sys = TransferMechanism(name="sig_outs_is_sys",
default_variable=np.zeros(12),
function=Logistic())
out_sig_has_sys = TransferMechanism(name="sig_outs_has_sys",
default_variable=np.zeros(9),
function=Logistic())
out_sig_can_sys = TransferMechanism(name="sig_outs_can_sys",
default_variable=np.zeros(9),
function=Logistic())
# SET UP PROJECTIONS FOR SEMANTIC NET
map_nouns_h1 = MappingProjection(matrix=np.random.rand(8,8),
name="map_nouns_h1",
sender=nouns_in,
receiver=h1)
map_rels_h2 = MappingProjection(matrix=np.random.rand(3,15),
name="map_relh2",
sender=rels_in,
receiver=h2)
map_h1_h2 = MappingProjection(matrix=np.random.rand(8,15),
name="map_h1_h2",
sender=h1,
receiver=h2)
map_h2_I = MappingProjection(matrix=np.random.rand(15,8),
name="map_h2_I",
sender=h2,
receiver=out_sig_I)
map_h2_is = MappingProjection(matrix=np.random.rand(15,12),
name="map_h2_is",
sender=h2,
receiver=out_sig_is)
map_h2_has = MappingProjection(matrix=np.random.rand(15,9),
name="map_h2_has",
sender=h2,
receiver=out_sig_has)
map_h2_can = MappingProjection(matrix=np.random.rand(15,9),
name="map_h2_can",
sender=h2,
receiver=out_sig_can)
# SET UP PROJECTIONS FOR SYSTEM
map_nouns_h1_sys = MappingProjection(matrix=map_nouns_h1.matrix.copy(),
name="map_nouns_h1_sys",
sender=nouns_in_sys,
receiver=h1_sys)
map_rels_h2_sys = MappingProjection(matrix=map_rels_h2.matrix.copy(),
name="map_relh2_sys",
sender=rels_in_sys,
receiver=h2_sys)
map_h1_h2_sys = MappingProjection(matrix=map_h1_h2.matrix.copy(),
name="map_h1_h2_sys",
sender=h1_sys,
receiver=h2_sys)
map_h2_I_sys = MappingProjection(matrix=map_h2_I.matrix.copy(),
name="map_h2_I_sys",
sender=h2_sys,
receiver=out_sig_I_sys)
map_h2_is_sys = MappingProjection(matrix=map_h2_is.matrix.copy(),
name="map_h2_is_sys",
sender=h2_sys,
receiver=out_sig_is_sys)
map_h2_has_sys = MappingProjection(matrix=map_h2_has.matrix.copy(),
name="map_h2_has_sys",
sender=h2_sys,
receiver=out_sig_has_sys)
map_h2_can_sys = MappingProjection(matrix=map_h2_can.matrix.copy(),
name="map_h2_can_sys",
sender=h2_sys,
receiver=out_sig_can_sys)
# SET UP COMPOSITION FOR SEMANTIC NET
sem_net = AutodiffComposition(param_init_from_pnl=True,
learning_rate=0.5,
optimizer_type=opt)
sem_net.add_node(nouns_in)
sem_net.add_node(rels_in)
sem_net.add_node(h1)
sem_net.add_node(h2)
sem_net.add_node(out_sig_I)
sem_net.add_node(out_sig_is)
sem_net.add_node(out_sig_has)
sem_net.add_node(out_sig_can)
sem_net.add_projection(sender=nouns_in, projection=map_nouns_h1, receiver=h1)
sem_net.add_projection(sender=rels_in, projection=map_rels_h2, receiver=h2)
sem_net.add_projection(sender=h1, projection=map_h1_h2, receiver=h2)
sem_net.add_projection(sender=h2, projection=map_h2_I, receiver=out_sig_I)
sem_net.add_projection(sender=h2, projection=map_h2_is, receiver=out_sig_is)
sem_net.add_projection(sender=h2, projection=map_h2_has, receiver=out_sig_has)
sem_net.add_projection(sender=h2, projection=map_h2_can, receiver=out_sig_can)
# INPUTS & OUTPUTS FOR SEMANTIC NET:
nouns = ['oak', 'pine', 'rose', 'daisy', 'canary', 'robin', 'salmon', 'sunfish']
relations = ['is', 'has', 'can']
is_list = ['living', 'living thing', 'plant', 'animal', 'tree', 'flower', 'bird', 'fish', 'big', 'green', 'red',
'yellow']
has_list = ['roots', 'leaves', 'bark', 'branches', 'skin', 'feathers', 'wings', 'gills', 'scales']
can_list = ['grow', 'move', 'swim', 'fly', 'breathe', 'breathe underwater', 'breathe air', 'walk', 'photosynthesize']
nouns_input = np.identity(len(nouns))
rels_input = np.identity(len(relations))
truth_nouns = np.identity(len(nouns))
truth_is = np.zeros((len(nouns), len(is_list)))
truth_is[0, :] = [1, 1, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0]
truth_is[1, :] = [1, 1, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0]
truth_is[2, :] = [1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0]
truth_is[3, :] = [1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0]
truth_is[4, :] = [1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1]
truth_is[5, :] = [1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1]
truth_is[6, :] = [1, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0]
truth_is[7, :] = [1, 1, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0]
truth_has = np.zeros((len(nouns), len(has_list)))
truth_has[0, :] = [1, 1, 1, 1, 0, 0, 0, 0, 0]
truth_has[1, :] = [1, 1, 1, 1, 0, 0, 0, 0, 0]
truth_has[2, :] = [1, 1, 0, 0, 0, 0, 0, 0, 0]
truth_has[3, :] = [1, 1, 0, 0, 0, 0, 0, 0, 0]
truth_has[4, :] = [0, 0, 0, 0, 1, 1, 1, 0, 0]
truth_has[5, :] = [0, 0, 0, 0, 1, 1, 1, 0, 0]
truth_has[6, :] = [0, 0, 0, 0, 0, 0, 0, 1, 1]
truth_has[7, :] = [0, 0, 0, 0, 0, 0, 0, 1, 1]
truth_can = np.zeros((len(nouns), len(can_list)))
truth_can[0, :] = [1, 0, 0, 0, 0, 0, 0, 0, 1]
truth_can[1, :] = [1, 0, 0, 0, 0, 0, 0, 0, 1]
truth_can[2, :] = [1, 0, 0, 0, 0, 0, 0, 0, 1]
truth_can[3, :] = [1, 0, 0, 0, 0, 0, 0, 0, 1]
truth_can[4, :] = [1, 1, 0, 1, 1, 0, 1, 1, 0]
truth_can[5, :] = [1, 1, 0, 1, 1, 0, 1, 1, 0]
truth_can[6, :] = [1, 1, 1, 0, 1, 1, 0, 0, 0]
truth_can[7, :] = [1, 1, 1, 0, 1, 1, 0, 0, 0]
# SETTING UP DICTIONARY OF INPUTS/OUTPUTS FOR SEMANTIC NET
inputs_dict = {}
inputs_dict[nouns_in] = []
inputs_dict[rels_in] = []
targets_dict = {}
targets_dict[out_sig_I] = []
targets_dict[out_sig_is] = []
targets_dict[out_sig_has] = []
targets_dict[out_sig_can] = []
for i in range(len(nouns)):
for j in range(len(relations)):
inputs_dict[nouns_in].append(nouns_input[i])
inputs_dict[rels_in].append(rels_input[j])
targets_dict[out_sig_I].append(truth_nouns[i])
targets_dict[out_sig_is].append(truth_is[i])
targets_dict[out_sig_has].append(truth_has[i])
targets_dict[out_sig_can].append(truth_can[i])
inputs_dict_sys = {}
inputs_dict_sys[nouns_in_sys] = inputs_dict[nouns_in]
inputs_dict_sys[rels_in_sys] = inputs_dict[rels_in]
targets_dict_sys = {}
targets_dict_sys[out_sig_I_sys] = targets_dict[out_sig_I]
targets_dict_sys[out_sig_is_sys] = targets_dict[out_sig_is]
targets_dict_sys[out_sig_has_sys] = targets_dict[out_sig_has]
targets_dict_sys[out_sig_can_sys] = targets_dict[out_sig_can]
sem_net.learning_enabled=False
result = sem_net.run(inputs=inputs_dict)
# comp_weights = sem_net.get_parameters()[0]
# TRAIN COMPOSITION
sem_net.learning_enabled=True
result = sem_net.run(inputs={"inputs": inputs_dict,
"targets": targets_dict,
"epochs": eps}
)
comp_weights = sem_net.get_parameters()[0]
# SET UP SYSTEM
p11 = Process(pathway=[nouns_in_sys,
map_nouns_h1_sys,
h1_sys,
map_h1_h2_sys,
h2_sys,
map_h2_I_sys,
out_sig_I_sys],
learning=pnl.LEARNING)
p12 = Process(pathway=[rels_in_sys,
map_rels_h2_sys,
h2_sys,
map_h2_is_sys,
out_sig_is_sys],
learning=pnl.LEARNING)
p21 = Process(pathway=[h2_sys,
map_h2_has_sys,
out_sig_has_sys],
learning=pnl.LEARNING)
p22 = Process(pathway=[h2_sys,
map_h2_can_sys,
out_sig_can_sys],
learning=pnl.LEARNING)
sem_net_sys = System(processes=[p11,
p12,
p21,
p22,
],
learning_rate=0.5)
# TRAIN SYSTEM
results = sem_net_sys.run(inputs=inputs_dict_sys,
targets=targets_dict_sys,
num_trials=(len(inputs_dict_sys[nouns_in_sys])*eps))
# CHECK THAT PARAMETERS FOR COMPOSITION, SYSTEM ARE SAME
assert np.allclose(comp_weights[map_nouns_h1], map_nouns_h1_sys.get_mod_matrix(sem_net_sys))
assert np.allclose(comp_weights[map_rels_h2], map_rels_h2_sys.get_mod_matrix(sem_net_sys))
assert np.allclose(comp_weights[map_h1_h2], map_h1_h2_sys.get_mod_matrix(sem_net_sys))
assert np.allclose(comp_weights[map_h2_I], map_h2_I_sys.get_mod_matrix(sem_net_sys))
assert np.allclose(comp_weights[map_h2_is], map_h2_is_sys.get_mod_matrix(sem_net_sys))
assert np.allclose(comp_weights[map_h2_has], map_h2_has_sys.get_mod_matrix(sem_net_sys))
assert np.allclose(comp_weights[map_h2_can], map_h2_can_sys.get_mod_matrix(sem_net_sys))
@pytest.mark.skipif(
not torch_available,
reason='Pytorch python module (torch) is not installed. Please install it with '
'`pip install torch` or `pip3 install torch`'
)
@pytest.mark.aclogging
class TestACLogging:
def test_autodiff_logging(self):
xor_in = TransferMechanism(name='xor_in',
default_variable=np.zeros(2))
xor_hid = TransferMechanism(name='xor_hid',
default_variable=np.zeros(10),
function=Logistic())
xor_out = TransferMechanism(name='xor_out',
default_variable=np.zeros(1),
function=Logistic())
hid_map = MappingProjection()
out_map = MappingProjection()
xor = AutodiffComposition(param_init_from_pnl=True)
xor.add_node(xor_in)
xor.add_node(xor_hid)
xor.add_node(xor_out)
xor.add_projection(sender=xor_in, projection=hid_map, receiver=xor_hid)
xor.add_projection(sender=xor_hid, projection=out_map, receiver=xor_out)
xor_inputs = np.array( # the inputs we will provide to the model
[[0, 0],
[0, 1],
[1, 0],
[1, 1]])
xor_targets = np.array( # the outputs we wish to see from the model
[[0],
[1],
[1],
[0]])
# train model for a few epochs
num_epochs = 10
xor.run(inputs={"inputs": {xor_in: xor_inputs},
"targets": {xor_out: xor_targets},
"epochs": num_epochs}, do_logging=True)
exec_id = xor.default_execution_id
in_np_dict_vals = xor_in.log.nparray_dictionary()[exec_id]['value']
in_np_vals = xor_in.log.nparray()[1][1][1][1:]
hid_map_np_dict_mats = hid_map.log.nparray_dictionary()[exec_id]['matrix']
hid_map_np_mats = np.array(hid_map.log.nparray()[1][1][1][1:])
hid_np_dict_vals = xor_hid.log.nparray_dictionary()[exec_id]['value']
out_map_np_dict_mats = out_map.log.nparray_dictionary()[exec_id]['matrix']
out_map_np_mats = np.array(out_map.log.nparray()[1][1][1][1:])
out_np_dict_vals = xor_out.log.nparray_dictionary()[exec_id]['value']
expected_length = len(xor_inputs) * num_epochs
assert np.all(in_np_dict_vals[0:4] == xor_inputs)
assert np.all(np.array(in_np_vals) == in_np_dict_vals)
assert in_np_dict_vals.shape == (expected_length, xor_in.size)
assert hid_map_np_dict_mats.shape == (expected_length, xor_in.size, xor_hid.size)
assert hid_map_np_mats.shape == hid_map_np_dict_mats.shape
assert np.all(hid_map_np_mats[3] == hid_map_np_dict_mats[3]) # CW: 3 is arbitrary. you can use any index
assert hid_np_dict_vals.shape == (expected_length, xor_hid.size)
assert out_map_np_dict_mats.shape == (expected_length, xor_hid.size, xor_out.size)
assert out_map_np_mats.shape == out_map_np_dict_mats.shape
assert np.all(out_map_np_mats[3] == out_map_np_dict_mats[3])
assert out_np_dict_vals.shape == (expected_length, xor_out.size)
xor_out.log.print_entries()
@pytest.mark.skipif(
not torch_available,
reason='Pytorch python module (torch) is not installed. Please install it with '
'`pip install torch` or `pip3 install torch`'
)
@pytest.mark.acnested
class TestNested:
@pytest.mark.parametrize(
'num_epochs, learning_rate, patience, min_delta', [
(2000, 4, 10, .00001),
]
)
def test_xor_nested_train_then_no_train(self, num_epochs, learning_rate, patience, min_delta):
xor_inputs = np.array( # the inputs we will provide to the model
[[0, 0],
[0, 1],
[1, 0],
[1, 1]])
xor_targets = np.array( # the outputs we wish to see from the model
[[0],
[1],
[1],
[0]])
# -----------------------------------------------------------------
xor_in = pnl.TransferMechanism(name='xor_in',
default_variable=np.zeros(2))
xor_hid = pnl.TransferMechanism(name='xor_hid',
default_variable=np.zeros(10),
function=pnl.core.components.functions.transferfunctions.Logistic())
xor_out = pnl.TransferMechanism(name='xor_out',
default_variable=np.zeros(1),
function=pnl.core.components.functions.transferfunctions.Logistic())
hid_map = pnl.MappingProjection(name='input_to_hidden',
matrix=np.random.randn(2, 10) * 0.1,
sender=xor_in,
receiver=xor_hid)
out_map = pnl.MappingProjection(name='hidden_to_output',
matrix=np.random.randn(10, 1) * 0.1,
sender=xor_hid,
receiver=xor_out)
# -----------------------------------------------------------------
xor_autodiff = AutodiffComposition(
param_init_from_pnl=True,
patience=patience,
min_delta=min_delta,
learning_rate=learning_rate,
randomize=False,
learning_enabled=True
)
xor_autodiff.add_node(xor_in)
xor_autodiff.add_node(xor_hid)
xor_autodiff.add_node(xor_out)
xor_autodiff.add_projection(sender=xor_in, projection=hid_map, receiver=xor_hid)
xor_autodiff.add_projection(sender=xor_hid, projection=out_map, receiver=xor_out)
# -----------------------------------------------------------------
xor_autodiff._analyze_graph()
no_training_input_dict = {xor_in: xor_inputs}
input_dict = {'inputs': {xor_in: xor_inputs}, 'targets': {xor_out: xor_targets}, 'epochs': num_epochs}
parentComposition = pnl.Composition()
parentComposition.add_node(xor_autodiff)
input = {xor_autodiff: input_dict}
no_training_input = {xor_autodiff: no_training_input_dict}
result1 = parentComposition.run(inputs=input)
xor_autodiff.learning_enabled = False
result2 = parentComposition.run(inputs=no_training_input)
assert np.allclose(result1, [[0]], atol=0.1)
assert np.allclose(result2, [[0]], atol=0.1)
@pytest.mark.parametrize(
'num_epochs, learning_rate, patience, min_delta', [
(2000, 4, 10, .00001),
]
)
def test_xor_nested_no_train_then_train(self, num_epochs, learning_rate, patience, min_delta):
xor_inputs = np.array( # the inputs we will provide to the model
[[0, 0],
[0, 1],
[1, 0],
[1, 1]])
xor_targets = np.array( # the outputs we wish to see from the model
[[0],
[1],
[1],
[0]])
# -----------------------------------------------------------------
xor_in = pnl.TransferMechanism(name='xor_in',
default_variable=np.zeros(2))
xor_hid = pnl.TransferMechanism(name='xor_hid',
default_variable=np.zeros(10),
function=pnl.core.components.functions.transferfunctions.Logistic())
xor_out = pnl.TransferMechanism(name='xor_out',
default_variable=np.zeros(1),
function=pnl.core.components.functions.transferfunctions.Logistic())
hid_map = pnl.MappingProjection(name='input_to_hidden',
matrix=np.random.randn(2, 10) * 0.1,
sender=xor_in,
receiver=xor_hid)
out_map = pnl.MappingProjection(name='hidden_to_output',
matrix=np.random.randn(10, 1) * 0.1,
sender=xor_hid,
receiver=xor_out)
# -----------------------------------------------------------------
xor_autodiff = AutodiffComposition(
param_init_from_pnl=True,
patience=patience,
min_delta=min_delta,
learning_rate=learning_rate,
randomize=False,
learning_enabled=False
)
xor_autodiff.add_node(xor_in)
xor_autodiff.add_node(xor_hid)
xor_autodiff.add_node(xor_out)
xor_autodiff.add_projection(sender=xor_in, projection=hid_map, receiver=xor_hid)
xor_autodiff.add_projection(sender=xor_hid, projection=out_map, receiver=xor_out)
# -----------------------------------------------------------------
xor_autodiff._analyze_graph()
no_training_input_dict = {xor_in: xor_inputs}
input_dict = {'inputs': {xor_in: xor_inputs}, 'targets': {xor_out: xor_targets}, 'epochs': num_epochs}
parentComposition = pnl.Composition()
parentComposition.add_node(xor_autodiff)
input = {xor_autodiff: input_dict}
no_training_input = {xor_autodiff: no_training_input_dict}
result1 = parentComposition.run(inputs=no_training_input)
xor_autodiff.learning_enabled = True
result2 = parentComposition.run(inputs=input)
assert np.allclose(result2, [[0]], atol=0.1)
# CW 12/21/18: Test is failing due to bugs, will fix later
# @pytest.mark.parametrize(
# 'num_epochs, learning_rate, patience, min_delta', [
# (2000, 4, 10, .00001),
# ]
# )
# def test_xor_nest_not_origin_after_train(self, num_epochs, learning_rate, patience, min_delta):
# xor_inputs = np.array( # the inputs we will provide to the model
# [[0, 0],
# [0, 1],
# [1, 0],
# [1, 1]])
#
# xor_targets = np.array( # the outputs we wish to see from the model
# [[0],
# [1],
# [1],
# [0]])
#
# # -----------------------------------------------------------------
#
# xor_in = pnl.TransferMechanism(name='xor_in',
# default_variable=np.zeros(2))
#
# xor_hid = pnl.TransferMechanism(name='xor_hid',
# default_variable=np.zeros(10),
# function=pnl.core.components.functions.transferfunctions.Logistic())
#
# xor_out = pnl.TransferMechanism(name='xor_out',
# default_variable=np.zeros(1),
# function=pnl.core.components.functions.transferfunctions.Logistic())
#
# hid_map = pnl.MappingProjection(name='input_to_hidden',
# matrix=np.random.randn(2, 10) * 0.1,
# sender=xor_in,
# receiver=xor_hid)
#
# out_map = pnl.MappingProjection(name='hidden_to_output',
# matrix=np.random.randn(10, 1) * 0.1,
# sender=xor_hid,
# receiver=xor_out)
#
# # -----------------------------------------------------------------
#
# xor_autodiff = AutodiffComposition(
# param_init_from_pnl=True,
# patience=patience,
# min_delta=min_delta,
# learning_rate=learning_rate,
# randomize=False,
# learning_enabled=True
# )
#
# xor_autodiff.add_node(xor_in)
# xor_autodiff.add_node(xor_hid)
# xor_autodiff.add_node(xor_out)
#
# xor_autodiff.add_projection(sender=xor_in, projection=hid_map, receiver=xor_hid)
# xor_autodiff.add_projection(sender=xor_hid, projection=out_map, receiver=xor_out)
#
# # -----------------------------------------------------------------
#
# input_dict = {'inputs': {xor_in: xor_inputs}, 'targets': {xor_out: xor_targets}, 'epochs': num_epochs}
# xor_autodiff.run(inputs = input_dict)
# myTransfer = pnl.TransferMechanism(size = 2)
# myMappingProj = pnl.MappingProjection(sender = myTransfer, receiver = xor_autodiff)
#
# no_training_input_dict = {xor_in: xor_inputs}
#
# parentComposition = pnl.Composition()
# parentComposition.add_node(myTransfer)
# parentComposition.add_node(xor_autodiff)
# parentComposition.add_projection(myMappingProj, sender=myTransfer, receiver=xor_autodiff)
# xor_autodiff.learning_enabled = False
#
# no_training_input = {myTransfer: no_training_input_dict}
#
# result = parentComposition.run(inputs=no_training_input)
#
# assert np.allclose(result, [[0]], atol=0.1)
@pytest.mark.parametrize(
'eps, opt', [
(1, 'sgd'),
]
)
def test_semantic_net_nested(self, eps, opt):
# SET UP MECHANISMS FOR SEMANTIC NET:
nouns_in = TransferMechanism(name="nouns_input",
default_variable=np.zeros(8))
rels_in = TransferMechanism(name="rels_input",
default_variable=np.zeros(3))
h1 = TransferMechanism(name="hidden_nouns",
default_variable=np.zeros(8),
function=Logistic())
h2 = TransferMechanism(name="hidden_mixed",
default_variable=np.zeros(15),
function=Logistic())
out_sig_I = TransferMechanism(name="sig_outs_I",
default_variable=np.zeros(8),
function=Logistic())
out_sig_is = TransferMechanism(name="sig_outs_is",
default_variable=np.zeros(12),
function=Logistic())
out_sig_has = TransferMechanism(name="sig_outs_has",
default_variable=np.zeros(9),
function=Logistic())
out_sig_can = TransferMechanism(name="sig_outs_can",
default_variable=np.zeros(9),
function=Logistic())
# SET UP MECHANISMS FOR SYSTEM
nouns_in_sys = TransferMechanism(name="nouns_input_sys",
default_variable=np.zeros(8))
rels_in_sys = TransferMechanism(name="rels_input_sys",
default_variable=np.zeros(3))
h1_sys = TransferMechanism(name="hidden_nouns_sys",
default_variable=np.zeros(8),
function=Logistic())
h2_sys = TransferMechanism(name="hidden_mixed_sys",
default_variable=np.zeros(15),
function=Logistic())
out_sig_I_sys = TransferMechanism(name="sig_outs_I_sys",
default_variable=np.zeros(8),
function=Logistic())
out_sig_is_sys = TransferMechanism(name="sig_outs_is_sys",
default_variable=np.zeros(12),
function=Logistic())
out_sig_has_sys = TransferMechanism(name="sig_outs_has_sys",
default_variable=np.zeros(9),
function=Logistic())
out_sig_can_sys = TransferMechanism(name="sig_outs_can_sys",
default_variable=np.zeros(9),
function=Logistic())
# SET UP PROJECTIONS FOR SEMANTIC NET
map_nouns_h1 = MappingProjection(matrix=np.random.rand(8,8),
name="map_nouns_h1",
sender=nouns_in,
receiver=h1)
map_rels_h2 = MappingProjection(matrix=np.random.rand(3,15),
name="map_relh2",
sender=rels_in,
receiver=h2)
map_h1_h2 = MappingProjection(matrix=np.random.rand(8,15),
name="map_h1_h2",
sender=h1,
receiver=h2)
map_h2_I = MappingProjection(matrix=np.random.rand(15,8),
name="map_h2_I",
sender=h2,
receiver=out_sig_I)
map_h2_is = MappingProjection(matrix=np.random.rand(15,12),
name="map_h2_is",
sender=h2,
receiver=out_sig_is)
map_h2_has = MappingProjection(matrix=np.random.rand(15,9),
name="map_h2_has",
sender=h2,
receiver=out_sig_has)
map_h2_can = MappingProjection(matrix=np.random.rand(15,9),
name="map_h2_can",
sender=h2,
receiver=out_sig_can)
# SET UP PROJECTIONS FOR SYSTEM
map_nouns_h1_sys = MappingProjection(matrix=map_nouns_h1.matrix.copy(),
name="map_nouns_h1_sys",
sender=nouns_in_sys,
receiver=h1_sys)
map_rels_h2_sys = MappingProjection(matrix=map_rels_h2.matrix.copy(),
name="map_relh2_sys",
sender=rels_in_sys,
receiver=h2_sys)
map_h1_h2_sys = MappingProjection(matrix=map_h1_h2.matrix.copy(),
name="map_h1_h2_sys",
sender=h1_sys,
receiver=h2_sys)
map_h2_I_sys = MappingProjection(matrix=map_h2_I.matrix.copy(),
name="map_h2_I_sys",
sender=h2_sys,
receiver=out_sig_I_sys)
map_h2_is_sys = MappingProjection(matrix=map_h2_is.matrix.copy(),
name="map_h2_is_sys",
sender=h2_sys,
receiver=out_sig_is_sys)
map_h2_has_sys = MappingProjection(matrix=map_h2_has.matrix.copy(),
name="map_h2_has_sys",
sender=h2_sys,
receiver=out_sig_has_sys)
map_h2_can_sys = MappingProjection(matrix=map_h2_can.matrix.copy(),
name="map_h2_can_sys",
sender=h2_sys,
receiver=out_sig_can_sys)
# SET UP COMPOSITION FOR SEMANTIC NET
sem_net = AutodiffComposition(param_init_from_pnl=True,
learning_rate=0.5,
optimizer_type=opt)
sem_net.add_node(nouns_in)
sem_net.add_node(rels_in)
sem_net.add_node(h1)
sem_net.add_node(h2)
sem_net.add_node(out_sig_I)
sem_net.add_node(out_sig_is)
sem_net.add_node(out_sig_has)
sem_net.add_node(out_sig_can)
sem_net.add_projection(sender=nouns_in, projection=map_nouns_h1, receiver=h1)
sem_net.add_projection(sender=rels_in, projection=map_rels_h2, receiver=h2)
sem_net.add_projection(sender=h1, projection=map_h1_h2, receiver=h2)
sem_net.add_projection(sender=h2, projection=map_h2_I, receiver=out_sig_I)
sem_net.add_projection(sender=h2, projection=map_h2_is, receiver=out_sig_is)
sem_net.add_projection(sender=h2, projection=map_h2_has, receiver=out_sig_has)
sem_net.add_projection(sender=h2, projection=map_h2_can, receiver=out_sig_can)
# INPUTS & OUTPUTS FOR SEMANTIC NET:
nouns = ['oak', 'pine', 'rose', 'daisy', 'canary', 'robin', 'salmon', 'sunfish']
relations = ['is', 'has', 'can']
is_list = ['living', 'living thing', 'plant', 'animal', 'tree', 'flower', 'bird', 'fish', 'big', 'green', 'red',
'yellow']
has_list = ['roots', 'leaves', 'bark', 'branches', 'skin', 'feathers', 'wings', 'gills', 'scales']
can_list = ['grow', 'move', 'swim', 'fly', 'breathe', 'breathe underwater', 'breathe air', 'walk', 'photosynthesize']
nouns_input = np.identity(len(nouns))
rels_input = np.identity(len(relations))
truth_nouns = np.identity(len(nouns))
truth_is = np.zeros((len(nouns), len(is_list)))
truth_is[0, :] = [1, 1, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0]
truth_is[1, :] = [1, 1, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0]
truth_is[2, :] = [1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0]
truth_is[3, :] = [1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0]
truth_is[4, :] = [1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1]
truth_is[5, :] = [1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1]
truth_is[6, :] = [1, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0]
truth_is[7, :] = [1, 1, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0]
truth_has = np.zeros((len(nouns), len(has_list)))
truth_has[0, :] = [1, 1, 1, 1, 0, 0, 0, 0, 0]
truth_has[1, :] = [1, 1, 1, 1, 0, 0, 0, 0, 0]
truth_has[2, :] = [1, 1, 0, 0, 0, 0, 0, 0, 0]
truth_has[3, :] = [1, 1, 0, 0, 0, 0, 0, 0, 0]
truth_has[4, :] = [0, 0, 0, 0, 1, 1, 1, 0, 0]
truth_has[5, :] = [0, 0, 0, 0, 1, 1, 1, 0, 0]
truth_has[6, :] = [0, 0, 0, 0, 0, 0, 0, 1, 1]
truth_has[7, :] = [0, 0, 0, 0, 0, 0, 0, 1, 1]
truth_can = np.zeros((len(nouns), len(can_list)))
truth_can[0, :] = [1, 0, 0, 0, 0, 0, 0, 0, 1]
truth_can[1, :] = [1, 0, 0, 0, 0, 0, 0, 0, 1]
truth_can[2, :] = [1, 0, 0, 0, 0, 0, 0, 0, 1]
truth_can[3, :] = [1, 0, 0, 0, 0, 0, 0, 0, 1]
truth_can[4, :] = [1, 1, 0, 1, 1, 0, 1, 1, 0]
truth_can[5, :] = [1, 1, 0, 1, 1, 0, 1, 1, 0]
truth_can[6, :] = [1, 1, 1, 0, 1, 1, 0, 0, 0]
truth_can[7, :] = [1, 1, 1, 0, 1, 1, 0, 0, 0]
# SETTING UP DICTIONARY OF INPUTS/OUTPUTS FOR SEMANTIC NET
inputs_dict = {}
inputs_dict[nouns_in] = []
inputs_dict[rels_in] = []
targets_dict = {}
targets_dict[out_sig_I] = []
targets_dict[out_sig_is] = []
targets_dict[out_sig_has] = []
targets_dict[out_sig_can] = []
for i in range(len(nouns)):
for j in range(len(relations)):
inputs_dict[nouns_in].append(nouns_input[i])
inputs_dict[rels_in].append(rels_input[j])
targets_dict[out_sig_I].append(truth_nouns[i])
targets_dict[out_sig_is].append(truth_is[i])
targets_dict[out_sig_has].append(truth_has[i])
targets_dict[out_sig_can].append(truth_can[i])
# comp_weights = sem_net.get_parameters()[0]
# TRAIN COMPOSITION
input_dict = {"inputs": inputs_dict,
"targets": targets_dict,
"epochs": eps}
sem_net._analyze_graph()
parentComposition = pnl.Composition()
parentComposition.add_node(sem_net)
input = {sem_net: input_dict}
no_training_input = {sem_net: inputs_dict.copy()}
parentComposition.run(inputs=input)
sem_net.learning_enabled = False
parentComposition.run(inputs=no_training_input) | 41.176445 | 125 | 0.510125 | 10,921 | 96,147 | 4.229008 | 0.040472 | 0.018664 | 0.018967 | 0.015589 | 0.881433 | 0.855581 | 0.829642 | 0.815525 | 0.804352 | 0.790668 | 0 | 0.036404 | 0.380886 | 96,147 | 2,335 | 126 | 41.176445 | 0.739475 | 0.109811 | 0 | 0.824827 | 0 | 0 | 0.058597 | 0 | 0 | 0 | 0 | 0 | 0.028355 | 1 | 0.014493 | false | 0 | 0.008822 | 0 | 0.027725 | 0.010082 | 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 |
e9fed49c59f753b7f4c57fcd1afafb4193fc5124 | 30,263 | py | Python | tests/attacks/test_carlini.py | dohmatob/adversarial-robustness-toolbox | 7d3ba7d2d6690be69c08754fbc632947c2d10a97 | [
"MIT"
] | 1 | 2020-03-09T05:55:46.000Z | 2020-03-09T05:55:46.000Z | tests/attacks/test_carlini.py | dohmatob/adversarial-robustness-toolbox | 7d3ba7d2d6690be69c08754fbc632947c2d10a97 | [
"MIT"
] | 1 | 2020-03-09T07:04:39.000Z | 2020-03-09T07:04:39.000Z | tests/attacks/test_carlini.py | dohmatob/adversarial-robustness-toolbox | 7d3ba7d2d6690be69c08754fbc632947c2d10a97 | [
"MIT"
] | null | null | null | # MIT License
#
# Copyright (C) IBM Corporation 2018
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated
# documentation files (the "Software"), to deal in the Software without restriction, including without limitation the
# rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit
# persons to whom the Software is furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all copies or substantial portions of the
# Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE
# WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
# TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
from __future__ import absolute_import, division, print_function, unicode_literals
import logging
import unittest
import keras
import keras.backend as k
import numpy as np
from art.attacks import CarliniL2Method, CarliniLInfMethod
from art.classifiers import KerasClassifier
from art.utils import load_dataset, random_targets, master_seed, to_categorical
from tests.utils_test import get_classifier_tf, get_classifier_kr, get_classifier_pt
from tests.utils_test import get_iris_classifier_tf, get_iris_classifier_kr, get_iris_classifier_pt
logger = logging.getLogger(__name__)
BATCH_SIZE = 100
NB_TRAIN = 10
NB_TEST = 10
class TestCarlini(unittest.TestCase):
"""
A unittest class for testing the Carlini L2 attack.
"""
@classmethod
def setUpClass(cls):
# MNIST
(x_train, y_train), (x_test, y_test), _, _ = load_dataset('mnist')
x_train, y_train, x_test, y_test = x_train[:NB_TRAIN], y_train[:NB_TRAIN], x_test[:NB_TEST], y_test[:NB_TEST]
cls.mnist = (x_train, y_train), (x_test, y_test)
# Iris
(x_train, y_train), (x_test, y_test), _, _ = load_dataset('iris')
cls.iris = (x_train, y_train), (x_test, y_test)
def setUp(self):
master_seed(1234)
def test_tensorflow_failure_attack_L2(self):
"""
Test the corner case when attack is failed.
:return:
"""
(_, _), (x_test, y_test) = self.mnist
x_test_original = x_test.copy()
# Build TensorFlowClassifier
tfc, sess = get_classifier_tf(from_logits=True)
# Failure attack
cl2m = CarliniL2Method(classifier=tfc, targeted=True, max_iter=0, binary_search_steps=0, learning_rate=0,
initial_const=1)
params = {'y': random_targets(y_test, tfc.nb_classes())}
x_test_adv = cl2m.generate(x_test, **params)
self.assertLessEqual(np.amax(x_test_adv), 1.0)
self.assertGreaterEqual(np.amin(x_test_adv), 0.0)
np.testing.assert_array_almost_equal(x_test, x_test_adv, decimal=3)
# Check that x_test has not been modified by attack and classifier
self.assertAlmostEqual(float(np.max(np.abs(x_test_original - x_test))), 0.0, delta=0.00001)
# Clean-up session
sess.close()
def test_tensorflow_mnist_L2(self):
"""
First test with the TensorFlowClassifier.
:return:
"""
(_, _), (x_test, y_test) = self.mnist
x_test_original = x_test.copy()
# Build TensorFlowClassifier
tfc, sess = get_classifier_tf()
# First attack
cl2m = CarliniL2Method(classifier=tfc, targeted=True, max_iter=10)
params = {'y': random_targets(y_test, tfc.nb_classes())}
x_test_adv = cl2m.generate(x_test, **params)
self.assertFalse((x_test == x_test_adv).all())
self.assertLessEqual(np.amax(x_test_adv), 1.0)
self.assertGreaterEqual(np.amin(x_test_adv), 0.0)
target = np.argmax(params['y'], axis=1)
y_pred_adv = np.argmax(tfc.predict(x_test_adv), axis=1)
logger.debug('CW2 Target: %s', target)
logger.debug('CW2 Actual: %s', y_pred_adv)
logger.info('CW2 Success Rate: %.2f', (np.sum(target == y_pred_adv) / float(len(target))))
self.assertTrue((target == y_pred_adv).any())
# Second attack, no batching
cl2m = CarliniL2Method(classifier=tfc, targeted=False, max_iter=10, batch_size=1)
x_test_adv = cl2m.generate(x_test)
self.assertLessEqual(np.amax(x_test_adv), 1.0)
self.assertGreaterEqual(np.amin(x_test_adv), 0.0)
target = np.argmax(params['y'], axis=1)
y_pred_adv = np.argmax(tfc.predict(x_test_adv), axis=1)
logger.debug('CW2 Target: %s', target)
logger.debug('CW2 Actual: %s', y_pred_adv)
logger.info('CW2 Success Rate: %.2f', (np.sum(target == y_pred_adv) / float(len(target))))
self.assertTrue((target != y_pred_adv).any())
# Check that x_test has not been modified by attack and classifier
self.assertAlmostEqual(float(np.max(np.abs(x_test_original - x_test))), 0.0, delta=0.00001)
# Clean-up session
sess.close()
@unittest.skipIf(not (int(keras.__version__.split('.')[0]) == 2 and int(keras.__version__.split('.')[1]) >= 3),
reason='Minimal version of Keras or TensorFlow required.')
def test_keras_mnist_L2(self):
"""
Second test with the KerasClassifier.
:return:
"""
(_, _), (x_test, y_test) = self.mnist
x_test_original = x_test.copy()
# Build KerasClassifier
krc = get_classifier_kr(from_logits=True)
# First attack
cl2m = CarliniL2Method(classifier=krc, targeted=True, max_iter=10)
y_target = [6, 6, 7, 4, 9, 7, 9, 0, 1, 0]
x_test_adv = cl2m.generate(x_test, y=to_categorical(y_target, nb_classes=10))
self.assertFalse((x_test == x_test_adv).all())
self.assertLessEqual(np.amax(x_test_adv), 1.0)
self.assertGreaterEqual(np.amin(x_test_adv), 0.0)
y_pred_adv = np.argmax(krc.predict(x_test_adv), axis=1)
logger.debug('CW2 Target: %s', y_target)
logger.debug('CW2 Actual: %s', y_pred_adv)
logger.info('CW2 Success Rate: %.2f', (np.sum(y_target == y_pred_adv) / float(len(y_target))))
self.assertTrue((y_target == y_pred_adv).any())
# Second attack
cl2m = CarliniL2Method(classifier=krc, targeted=False, max_iter=10)
x_test_adv = cl2m.generate(x_test)
self.assertLessEqual(np.amax(x_test_adv), 1.0)
self.assertGreaterEqual(np.amin(x_test_adv), 0.0)
y_pred_adv = np.argmax(krc.predict(x_test_adv), axis=1)
logger.debug('CW2 Target: %s', y_target)
logger.debug('CW2 Actual: %s', y_pred_adv)
logger.info('CW2 Success Rate: %.2f', (np.sum(y_target != y_pred_adv) / float(len(y_target))))
self.assertTrue((y_target != y_pred_adv).any())
# Check that x_test has not been modified by attack and classifier
self.assertAlmostEqual(float(np.max(np.abs(x_test_original - x_test))), 0.0, delta=0.00001)
# Clean-up
k.clear_session()
def test_pytorch_mnist_L2(self):
"""
Third test with the PyTorchClassifier.
:return:
"""
(_, _), (x_test, y_test) = self.mnist
x_test = np.reshape(x_test, (x_test.shape[0], 1, 28, 28)).astype(np.float32)
x_test_original = x_test.copy()
# Build PyTorchClassifier
ptc = get_classifier_pt(from_logits=True)
# First attack
cl2m = CarliniL2Method(classifier=ptc, targeted=True, max_iter=10)
params = {'y': random_targets(y_test, ptc.nb_classes())}
x_test_adv = cl2m.generate(x_test, **params)
self.assertFalse((x_test == x_test_adv).all())
self.assertLessEqual(np.amax(x_test_adv), 1.0)
self.assertGreaterEqual(np.amin(x_test_adv), 0.0)
target = np.argmax(params['y'], axis=1)
y_pred_adv = np.argmax(ptc.predict(x_test_adv), axis=1)
self.assertTrue((target == y_pred_adv).any())
logger.info('CW2 Success Rate: %.2f', (sum(target == y_pred_adv) / float(len(target))))
# Second attack
cl2m = CarliniL2Method(classifier=ptc, targeted=False, max_iter=10)
x_test_adv = cl2m.generate(x_test)
self.assertLessEqual(np.amax(x_test_adv), 1.0)
self.assertGreaterEqual(np.amin(x_test_adv), 0.0)
target = np.argmax(params['y'], axis=1)
y_pred_adv = np.argmax(ptc.predict(x_test_adv), axis=1)
self.assertTrue((target != y_pred_adv).any())
logger.info('CW2 Success Rate: %.2f', (sum(target != y_pred_adv) / float(len(target))))
# Check that x_test has not been modified by attack and classifier
self.assertAlmostEqual(float(np.max(np.abs(x_test_original - x_test))), 0.0, delta=0.00001)
def test_classifier_type_check_fail_classifier_L2(self):
# Use a useless test classifier to test basic classifier properties
class ClassifierNoAPI:
pass
classifier = ClassifierNoAPI
with self.assertRaises(TypeError) as context:
_ = CarliniL2Method(classifier=classifier)
self.assertIn('For `CarliniL2Method` classifier must be an instance of `art.classifiers.classifier.Classifier`,'
' the provided classifier is instance of (<class \'object\'>,).', str(context.exception))
def test_classifier_type_check_fail_gradients_L2(self):
# Use a test classifier not providing gradients required by white-box attack
from art.classifiers.scikitlearn import ScikitlearnDecisionTreeClassifier
from sklearn.tree import DecisionTreeClassifier
classifier = ScikitlearnDecisionTreeClassifier(model=DecisionTreeClassifier())
with self.assertRaises(TypeError) as context:
_ = CarliniL2Method(classifier=classifier)
self.assertIn('For `CarliniL2Method` classifier must be an instance of '
'`art.classifiers.classifier.ClassifierGradients`, the provided classifier is instance of '
'(<class \'art.classifiers.scikitlearn.ScikitlearnClassifier\'>,).', str(context.exception))
def test_keras_iris_clipped_L2(self):
(_, _), (x_test, y_test) = self.iris
classifier = get_iris_classifier_kr()
attack = CarliniL2Method(classifier, targeted=False, max_iter=10)
x_test_adv = attack.generate(x_test)
self.assertFalse((x_test == x_test_adv).all())
self.assertLessEqual(np.amax(x_test_adv), 1.0)
self.assertGreaterEqual(np.amin(x_test_adv), 0.0)
predictions_adv = np.argmax(classifier.predict(x_test_adv), axis=1)
self.assertFalse((np.argmax(y_test, axis=1) == predictions_adv).all())
accuracy = np.sum(predictions_adv == np.argmax(y_test, axis=1)) / y_test.shape[0]
logger.info('Accuracy on Iris with C&W adversarial examples: %.2f%%', (accuracy * 100))
def test_keras_iris_unbounded_L2(self):
(_, _), (x_test, y_test) = self.iris
classifier = get_iris_classifier_kr()
# Recreate a classifier without clip values
classifier = KerasClassifier(model=classifier._model, use_logits=False, channel_index=1)
attack = CarliniL2Method(classifier, targeted=False, max_iter=10)
x_test_adv = attack.generate(x_test)
self.assertFalse((x_test == x_test_adv).all())
predictions_adv = np.argmax(classifier.predict(x_test_adv), axis=1)
self.assertFalse((np.argmax(y_test, axis=1) == predictions_adv).all())
accuracy = np.sum(predictions_adv == np.argmax(y_test, axis=1)) / y_test.shape[0]
logger.info('Accuracy on Iris with C&W adversarial examples: %.2f%%', (accuracy * 100))
def test_tensorflow_iris_L2(self):
(_, _), (x_test, y_test) = self.iris
classifier, _ = get_iris_classifier_tf()
# Test untargeted attack
attack = CarliniL2Method(classifier, targeted=False, max_iter=10)
x_test_adv = attack.generate(x_test)
self.assertFalse((x_test == x_test_adv).all())
self.assertLessEqual(np.amax(x_test_adv), 1.0)
self.assertGreaterEqual(np.amin(x_test_adv), 0.0)
predictions_adv = np.argmax(classifier.predict(x_test_adv), axis=1)
self.assertFalse((np.argmax(y_test, axis=1) == predictions_adv).all())
accuracy = np.sum(predictions_adv == np.argmax(y_test, axis=1)) / y_test.shape[0]
logger.info('Accuracy on Iris with C&W adversarial examples: %.2f%%', (accuracy * 100))
# Test targeted attack
targets = random_targets(y_test, nb_classes=3)
attack = CarliniL2Method(classifier, targeted=True, max_iter=10)
x_test_adv = attack.generate(x_test, **{'y': targets})
self.assertFalse((x_test == x_test_adv).all())
self.assertLessEqual(np.amax(x_test_adv), 1.0)
self.assertGreaterEqual(np.amin(x_test_adv), 0.0)
predictions_adv = np.argmax(classifier.predict(x_test_adv), axis=1)
self.assertTrue((np.argmax(targets, axis=1) == predictions_adv).any())
accuracy = np.sum(predictions_adv == np.argmax(targets, axis=1)) / y_test.shape[0]
logger.info('Success rate of targeted C&W on Iris: %.2f%%', (accuracy * 100))
def test_pytorch_iris_L2(self):
(_, _), (x_test, y_test) = self.iris
classifier = get_iris_classifier_pt()
attack = CarliniL2Method(classifier, targeted=False, max_iter=10)
x_test_adv = attack.generate(x_test)
self.assertFalse((x_test == x_test_adv).all())
self.assertLessEqual(np.amax(x_test_adv), 1.0)
self.assertGreaterEqual(np.amin(x_test_adv), 0.0)
predictions_adv = np.argmax(classifier.predict(x_test_adv), axis=1)
self.assertFalse((np.argmax(y_test, axis=1) == predictions_adv).all())
accuracy = np.sum(predictions_adv == np.argmax(y_test, axis=1)) / y_test.shape[0]
logger.info('Accuracy on Iris with C&W adversarial examples: %.2f%%', (accuracy * 100))
def test_scikitlearn_L2(self):
from sklearn.linear_model import LogisticRegression
from art.classifiers.scikitlearn import ScikitlearnLogisticRegression
scikitlearn_test_cases = {LogisticRegression: ScikitlearnLogisticRegression} # ,
# SVC: ScikitlearnSVC,
# LinearSVC: ScikitlearnSVC}
(_, _), (x_test, y_test) = self.iris
x_test_original = x_test.copy()
for (model_class, classifier_class) in scikitlearn_test_cases.items():
model = model_class()
classifier = classifier_class(model=model, clip_values=(0, 1))
classifier.fit(x=x_test, y=y_test)
# Test untargeted attack
attack = CarliniL2Method(classifier, targeted=False, max_iter=10)
x_test_adv = attack.generate(x_test)
self.assertFalse((x_test == x_test_adv).all())
self.assertLessEqual(np.amax(x_test_adv), 1.0)
self.assertGreaterEqual(np.amin(x_test_adv), 0.0)
predictions_adv = np.argmax(classifier.predict(x_test_adv), axis=1)
self.assertFalse((np.argmax(y_test, axis=1) == predictions_adv).all())
accuracy = np.sum(predictions_adv == np.argmax(y_test, axis=1)) / y_test.shape[0]
logger.info('Accuracy of ' + classifier.__class__.__name__ + ' on Iris with C&W adversarial examples: '
'%.2f%%', (accuracy * 100))
# Test targeted attack
targets = random_targets(y_test, nb_classes=3)
attack = CarliniL2Method(classifier, targeted=True, max_iter=10)
x_test_adv = attack.generate(x_test, **{'y': targets})
self.assertFalse((x_test == x_test_adv).all())
self.assertLessEqual(np.amax(x_test_adv), 1.0)
self.assertGreaterEqual(np.amin(x_test_adv), 0.0)
predictions_adv = np.argmax(classifier.predict(x_test_adv), axis=1)
self.assertTrue((np.argmax(targets, axis=1) == predictions_adv).any())
accuracy = np.sum(predictions_adv == np.argmax(targets, axis=1)) / y_test.shape[0]
logger.info('Success rate of ' + classifier.__class__.__name__ + ' on targeted C&W on Iris: %.2f%%',
(accuracy * 100))
# Check that x_test has not been modified by attack and classifier
self.assertAlmostEqual(float(np.max(np.abs(x_test_original - x_test))), 0.0, delta=0.00001)
"""
A unittest class for testing the Carlini LInf attack.
"""
def test_tensorflow_failure_attack_LInf(self):
"""
Test the corner case when attack is failed.
:return:
"""
(_, _), (x_test, y_test) = self.mnist
# Build TensorFlowClassifier
tfc, sess = get_classifier_tf(from_logits=True)
# Failure attack
clinfm = CarliniLInfMethod(classifier=tfc, targeted=True, max_iter=0, learning_rate=0, eps=0.5)
params = {'y': random_targets(y_test, tfc.nb_classes())}
x_test_adv = clinfm.generate(x_test, **params)
self.assertLessEqual(np.amax(x_test_adv), 1.0)
self.assertGreaterEqual(np.amin(x_test_adv), 0.0)
self.assertTrue(np.allclose(x_test, x_test_adv, atol=1e-3))
# Clean-up session
sess.close()
def test_tensorflow_mnist_LInf(self):
"""
First test with the TensorFlowClassifier.
:return:
"""
(_, _), (x_test, y_test) = self.mnist
# Build TensorFlowClassifier
tfc, sess = get_classifier_tf(from_logits=True)
# First attack
clinfm = CarliniLInfMethod(classifier=tfc, targeted=True, max_iter=10, eps=0.5)
params = {'y': random_targets(y_test, tfc.nb_classes())}
x_test_adv = clinfm.generate(x_test, **params)
self.assertFalse((x_test == x_test_adv).all())
self.assertLessEqual(np.amax(x_test_adv), 1.0)
self.assertGreaterEqual(np.amin(x_test_adv), 0.0)
target = np.argmax(params['y'], axis=1)
y_pred_adv = np.argmax(tfc.predict(x_test_adv), axis=1)
logger.debug('CW0 Target: %s', target)
logger.debug('CW0 Actual: %s', y_pred_adv)
logger.info('CW0 Success Rate: %.2f', (np.sum(target == y_pred_adv) / float(len(target))))
self.assertTrue((target == y_pred_adv).any())
# Second attack, no batching
clinfm = CarliniLInfMethod(classifier=tfc, targeted=False, max_iter=10, eps=0.5, batch_size=1)
x_test_adv = clinfm.generate(x_test)
self.assertLessEqual(np.amax(x_test_adv), 1.0)
self.assertGreaterEqual(np.amin(x_test_adv), -1e-6)
target = np.argmax(params['y'], axis=1)
y_pred_adv = np.argmax(tfc.predict(x_test_adv), axis=1)
logger.debug('CW0 Target: %s', target)
logger.debug('CW0 Actual: %s', y_pred_adv)
logger.info('CW0 Success Rate: %.2f', (np.sum(target != y_pred_adv) / float(len(target))))
self.assertTrue((target != y_pred_adv).any())
# Clean-up session
sess.close()
@unittest.skipIf(not (int(keras.__version__.split('.')[0]) == 2 and int(keras.__version__.split('.')[1]) >= 3),
reason='Minimal version of Keras or TensorFlow required.')
def test_keras_mnist_LInf(self):
"""
Second test with the KerasClassifier.
:return:
"""
(_, _), (x_test, y_test) = self.mnist
# Build KerasClassifier
krc = get_classifier_kr(from_logits=True)
# First attack
clinfm = CarliniLInfMethod(classifier=krc, targeted=True, max_iter=10, eps=0.5)
params = {'y': random_targets(y_test, krc.nb_classes())}
x_test_adv = clinfm.generate(x_test, **params)
self.assertFalse((x_test == x_test_adv).all())
self.assertLessEqual(np.amax(x_test_adv), 1.000001)
self.assertGreaterEqual(np.amin(x_test_adv), -1e-6)
target = np.argmax(params['y'], axis=1)
y_pred_adv = np.argmax(krc.predict(x_test_adv), axis=1)
logger.debug('CW0 Target: %s', target)
logger.debug('CW0 Actual: %s', y_pred_adv)
logger.info('CW0 Success Rate: %.2f', (np.sum(target == y_pred_adv) / float(len(target))))
self.assertTrue((target == y_pred_adv).any())
# Second attack
clinfm = CarliniLInfMethod(classifier=krc, targeted=False, max_iter=10, eps=0.5)
x_test_adv = clinfm.generate(x_test)
self.assertLessEqual(np.amax(x_test_adv), 1.000001)
self.assertGreaterEqual(np.amin(x_test_adv), -1e-6)
target = np.argmax(params['y'], axis=1)
y_pred_adv = np.argmax(krc.predict(x_test_adv), axis=1)
logger.debug('CW0 Target: %s', target)
logger.debug('CW0 Actual: %s', y_pred_adv)
logger.info('CW0 Success Rate: %.2f', (np.sum(target != y_pred_adv) / float(len(target))))
self.assertTrue((target != y_pred_adv).any())
# Clean-up
k.clear_session()
def test_pytorch_mnist_LInf(self):
"""
Third test with the PyTorchClassifier.
:return:
"""
(_, _), (x_test, y_test) = self.mnist
x_test = np.reshape(x_test, (x_test.shape[0], 1, 28, 28)).astype(np.float32)
# Build PyTorchClassifier
ptc = get_classifier_pt(from_logits=True)
# First attack
clinfm = CarliniLInfMethod(classifier=ptc, targeted=True, max_iter=10, eps=0.5)
params = {'y': random_targets(y_test, ptc.nb_classes())}
x_test_adv = clinfm.generate(x_test, **params)
self.assertFalse((x_test == x_test_adv).all())
self.assertLessEqual(np.amax(x_test_adv), 1.0 + 1e-6)
self.assertGreaterEqual(np.amin(x_test_adv), -1e-6)
target = np.argmax(params['y'], axis=1)
y_pred_adv = np.argmax(ptc.predict(x_test_adv), axis=1)
self.assertTrue((target == y_pred_adv).any())
# Second attack
clinfm = CarliniLInfMethod(classifier=ptc, targeted=False, max_iter=10, eps=0.5)
x_test_adv = clinfm.generate(x_test)
self.assertLessEqual(np.amax(x_test_adv), 1.0 + 1e-6)
self.assertGreaterEqual(np.amin(x_test_adv), -1e-6)
target = np.argmax(params['y'], axis=1)
y_pred_adv = np.argmax(ptc.predict(x_test_adv), axis=1)
self.assertTrue((target != y_pred_adv).any())
def test_classifier_type_check_fail_classifier_LInf(self):
# Use a useless test classifier to test basic classifier properties
class ClassifierNoAPI:
pass
classifier = ClassifierNoAPI
with self.assertRaises(TypeError) as context:
_ = CarliniLInfMethod(classifier=classifier)
self.assertIn('For `CarliniLInfMethod` classifier must be an instance of '
'`art.classifiers.classifier.Classifier`, the provided classifier is instance of '
'(<class \'object\'>,).', str(context.exception))
def test_classifier_type_check_fail_gradients_LInf(self):
# Use a test classifier not providing gradients required by white-box attack
from art.classifiers.scikitlearn import ScikitlearnDecisionTreeClassifier
from sklearn.tree import DecisionTreeClassifier
classifier = ScikitlearnDecisionTreeClassifier(model=DecisionTreeClassifier())
with self.assertRaises(TypeError) as context:
_ = CarliniLInfMethod(classifier=classifier)
self.assertIn('For `CarliniLInfMethod` classifier must be an instance of '
'`art.classifiers.classifier.ClassifierGradients`, the provided classifier is instance of '
'(<class \'art.classifiers.scikitlearn.ScikitlearnClassifier\'>,).', str(context.exception))
def test_keras_iris_clipped_LInf(self):
(_, _), (x_test, y_test) = self.iris
classifier = get_iris_classifier_kr()
attack = CarliniLInfMethod(classifier, targeted=False, max_iter=10, eps=0.5)
x_test_adv = attack.generate(x_test)
self.assertFalse((x_test == x_test_adv).all())
self.assertLessEqual(np.amax(x_test_adv), 1.0)
self.assertGreaterEqual(np.amin(x_test_adv), 0.0)
predictions_adv = np.argmax(classifier.predict(x_test_adv), axis=1)
self.assertFalse((np.argmax(y_test, axis=1) == predictions_adv).all())
accuracy = np.sum(predictions_adv == np.argmax(y_test, axis=1)) / y_test.shape[0]
logger.info('Accuracy on Iris with C&W adversarial examples: %.2f%%', (accuracy * 100))
def test_keras_iris_unbounded_LInf(self):
(_, _), (x_test, y_test) = self.iris
classifier = get_iris_classifier_kr()
# Recreate a classifier without clip values
classifier = KerasClassifier(model=classifier._model, use_logits=False, channel_index=1)
attack = CarliniLInfMethod(classifier, targeted=False, max_iter=10, eps=1)
x_test_adv = attack.generate(x_test)
self.assertFalse((x_test == x_test_adv).all())
predictions_adv = np.argmax(classifier.predict(x_test_adv), axis=1)
self.assertFalse((np.argmax(y_test, axis=1) == predictions_adv).all())
accuracy = np.sum(predictions_adv == np.argmax(y_test, axis=1)) / y_test.shape[0]
logger.info('Accuracy on Iris with C&W adversarial examples: %.2f%%', (accuracy * 100))
def test_tensorflow_iris_LInf(self):
(_, _), (x_test, y_test) = self.iris
classifier, _ = get_iris_classifier_tf()
# Test untargeted attack
attack = CarliniLInfMethod(classifier, targeted=False, max_iter=10, eps=0.5)
x_test_adv = attack.generate(x_test)
self.assertFalse((x_test == x_test_adv).all())
self.assertLessEqual(np.amax(x_test_adv), 1.0)
self.assertGreaterEqual(np.amin(x_test_adv), 0.0)
predictions_adv = np.argmax(classifier.predict(x_test_adv), axis=1)
self.assertFalse((np.argmax(y_test, axis=1) == predictions_adv).all())
accuracy = np.sum(predictions_adv == np.argmax(y_test, axis=1)) / y_test.shape[0]
logger.info('Accuracy on Iris with C&W adversarial examples: %.2f%%', (accuracy * 100))
# Test targeted attack
targets = random_targets(y_test, nb_classes=3)
attack = CarliniLInfMethod(classifier, targeted=True, max_iter=10, eps=0.5)
x_test_adv = attack.generate(x_test, **{'y': targets})
self.assertFalse((x_test == x_test_adv).all())
self.assertLessEqual(np.amax(x_test_adv), 1.0)
self.assertGreaterEqual(np.amin(x_test_adv), 0.0)
predictions_adv = np.argmax(classifier.predict(x_test_adv), axis=1)
self.assertTrue((np.argmax(targets, axis=1) == predictions_adv).any())
accuracy = np.sum(predictions_adv == np.argmax(targets, axis=1)) / y_test.shape[0]
logger.info('Success rate of targeted C&W on Iris: %.2f%%', (accuracy * 100))
def test_pytorch_iris_LInf(self):
(_, _), (x_test, y_test) = self.iris
classifier = get_iris_classifier_pt()
attack = CarliniLInfMethod(classifier, targeted=False, max_iter=10, eps=0.5)
x_test_adv = attack.generate(x_test.astype(np.float32))
self.assertFalse((x_test == x_test_adv).all())
self.assertLessEqual(np.amax(x_test_adv), 1.0)
self.assertGreaterEqual(np.amin(x_test_adv), 0.0)
predictions_adv = np.argmax(classifier.predict(x_test_adv), axis=1)
self.assertFalse((np.argmax(y_test, axis=1) == predictions_adv).all())
accuracy = np.sum(predictions_adv == np.argmax(y_test, axis=1)) / y_test.shape[0]
logger.info('Accuracy on Iris with C&W adversarial examples: %.2f%%', (accuracy * 100))
def test_scikitlearn_LInf(self):
from sklearn.linear_model import LogisticRegression
from art.classifiers.scikitlearn import ScikitlearnLogisticRegression
scikitlearn_test_cases = {LogisticRegression: ScikitlearnLogisticRegression} # ,
# SVC: ScikitlearnSVC,
# LinearSVC: ScikitlearnSVC}
(_, _), (x_test, y_test) = self.iris
for (model_class, classifier_class) in scikitlearn_test_cases.items():
model = model_class()
classifier = classifier_class(model=model, clip_values=(0, 1))
classifier.fit(x=x_test, y=y_test)
# Test untargeted attack
attack = CarliniLInfMethod(classifier, targeted=False, max_iter=10, eps=0.5)
x_test_adv = attack.generate(x_test)
self.assertFalse((x_test == x_test_adv).all())
self.assertLessEqual(np.amax(x_test_adv), 1.0)
self.assertGreaterEqual(np.amin(x_test_adv), 0.0)
predictions_adv = np.argmax(classifier.predict(x_test_adv), axis=1)
self.assertFalse((np.argmax(y_test, axis=1) == predictions_adv).all())
accuracy = np.sum(predictions_adv == np.argmax(y_test, axis=1)) / y_test.shape[0]
logger.info('Accuracy of ' + classifier.__class__.__name__ + ' on Iris with C&W adversarial examples: '
'%.2f%%', (accuracy * 100))
# Test targeted attack
targets = random_targets(y_test, nb_classes=3)
attack = CarliniLInfMethod(classifier, targeted=True, max_iter=10, eps=0.5)
x_test_adv = attack.generate(x_test, **{'y': targets})
self.assertFalse((x_test == x_test_adv).all())
self.assertLessEqual(np.amax(x_test_adv), 1.0)
self.assertGreaterEqual(np.amin(x_test_adv), 0.0)
predictions_adv = np.argmax(classifier.predict(x_test_adv), axis=1)
self.assertTrue((np.argmax(targets, axis=1) == predictions_adv).any())
accuracy = np.sum(predictions_adv == np.argmax(targets, axis=1)) / y_test.shape[0]
logger.info('Success rate of ' + classifier.__class__.__name__ + ' on targeted C&W on Iris: %.2f%%',
(accuracy * 100))
if __name__ == '__main__':
unittest.main()
| 47.808847 | 120 | 0.653075 | 4,051 | 30,263 | 4.643051 | 0.07924 | 0.06247 | 0.054442 | 0.03275 | 0.908289 | 0.900899 | 0.893455 | 0.876336 | 0.868042 | 0.845393 | 0 | 0.022369 | 0.222979 | 30,263 | 632 | 121 | 47.884494 | 0.777504 | 0.099131 | 0 | 0.8 | 0 | 0 | 0.071931 | 0.006627 | 0 | 0 | 0 | 0 | 0.272289 | 1 | 0.057831 | false | 0.004819 | 0.045783 | 0 | 0.110843 | 0.00241 | 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 |
180f815f80c663170e8bd5476291218a82261018 | 31,438 | py | Python | hata/discord/urls.py | asleep-cult/hata | d6175edf12b1775098b8b0912f98a1fef2e31760 | [
"0BSD"
] | null | null | null | hata/discord/urls.py | asleep-cult/hata | d6175edf12b1775098b8b0912f98a1fef2e31760 | [
"0BSD"
] | null | null | null | hata/discord/urls.py | asleep-cult/hata | d6175edf12b1775098b8b0912f98a1fef2e31760 | [
"0BSD"
] | 1 | 2021-04-13T00:53:48.000Z | 2021-04-13T00:53:48.000Z | # -*- coding: utf-8 -*-
__all__ = ()
import re
from .bases import ICON_TYPE_NONE, ICON_TYPE_STATIC
from . import utils as module_utils
ChannelGuildBase = NotImplemented
from ..env import CUSTOM_API_ENDPOINT, CUSTOM_CDN_ENDPOINT, CUSTOM_DIS_ENDPOINT, API_VERSION
API_ENDPOINT = f'https://discord.com/api/v{API_VERSION}' if (CUSTOM_API_ENDPOINT is None) else CUSTOM_API_ENDPOINT
CDN_ENDPOINT = 'https://cdn.discordapp.com' if (CUSTOM_CDN_ENDPOINT is None) else CUSTOM_CDN_ENDPOINT
DIS_ENDPOINT = 'https://discord.com' if (CUSTOM_DIS_ENDPOINT is None) else CUSTOM_DIS_ENDPOINT
del CUSTOM_API_ENDPOINT, CUSTOM_CDN_ENDPOINT, CUSTOM_DIS_ENDPOINT, API_VERSION
VALID_ICON_FORMATS = ('jpg', 'jpeg','png','webp')
VALID_ICON_SIZES = {1<<x for x in range(4,13)}
VALID_ICON_FORMATS_EXTENDED = (*VALID_ICON_FORMATS, 'gif',)
STYLE_PATTERN = re.compile('(^shield$)|(^banner[1-4]$)')
MESSAGE_JUMP_URL_RP = re.compile('(?:https://)?discord(?:app)?.com/channels/(?:(\d{7,21})|@me)/(\d{7,21})/(\d{7,21})')
#returns a URL that allows the client to jump to this message
#guild is guild's id, or @me if there is no guild
def message_jump_url(message):
"""
Returns a jump url to the message. If the message's channel is a partial guild channel, returns `None`.
Returns
-------
url : `str` or `None`
"""
channel = message.channel
if isinstance(channel, ChannelGuildBase):
guild = channel.guild
if guild is None:
return None
guild_id = str(guild.id)
else:
guild_id = '@me'
return f'{DIS_ENDPOINT}/channels/{guild_id}/{channel.id}/{message.id}'
def guild_icon_url(guild):
"""
Returns the guild's icon's image's url. If the guild has no icon, then returns `None`.
Returns
-------
url : `str` or `None`
"""
icon_type = guild.icon_type
if icon_type is ICON_TYPE_NONE:
return None
if icon_type is ICON_TYPE_STATIC:
prefix = ''
ext = 'png'
else:
prefix = 'a_'
ext = 'gif'
return f'{CDN_ENDPOINT}/icons/{guild.id}/{prefix}{guild.icon_hash:0>32x}.{ext}'
def guild_icon_url_as(guild, ext='png', size=None):
"""
Returns the guild's icon's url. If the guild has no icon, then returns `None`.
Parameters
----------
ext : `str`, Optional
The extension of the image's url. Can be any of: `'jpg'`, `'jpeg'`, `'png'`, `'webp'`. If the guild has
animated icon, it can `'gif'` as well.
size : `int`, Optional.
The preferred minimal size of the image's url. Can be any of: `16`, `32`, `64`, `128`, `256`, `512`,
`1024`, `2048`, `4096`.
Returns
-------
url : `str` or `None`
Raises
------
ValueError
If `ext` or `size` was not passed as any of the expected values.
"""
icon_type = guild.icon_type
if icon_type is ICON_TYPE_NONE:
return None
if size is None:
end = ''
elif size in VALID_ICON_SIZES:
end = f'?size={size}'
else:
raise ValueError(f'Size must be power of 2 between 16 and 4096, got {size}.')
if ext is None:
if icon_type is ICON_TYPE_STATIC:
prefix = ''
ext = 'png'
else:
prefix = 'a_'
ext = 'gif'
else:
if icon_type is ICON_TYPE_STATIC:
if ext not in VALID_ICON_FORMATS_EXTENDED:
raise ValueError(f'Extension must be one of {VALID_ICON_FORMATS}, got {ext!r}.')
prefix = ''
else:
if ext not in VALID_ICON_FORMATS_EXTENDED:
raise ValueError(f'Extension must be one of {VALID_ICON_FORMATS_EXTENDED}, got {ext!r}.')
prefix = 'a_'
return f'{CDN_ENDPOINT}/icons/{guild.id}/{prefix}{guild.icon_hash:0>32x}.{ext}{end}'
def guild_invite_splash_url(guild):
"""
Returns the guild's invite splash's image's url. If the guild has no invite splash, then returns `None`.
Returns
-------
url : `str` or `None`
"""
icon_type = guild.invite_splash_type
if icon_type is ICON_TYPE_NONE:
return None
if icon_type is ICON_TYPE_STATIC:
prefix = ''
ext = 'png'
else:
prefix = 'a_'
ext = 'gif'
return f'{CDN_ENDPOINT}/splashes/{guild.id}/{prefix}{guild.invite_splash_hash:0>32x}.{ext}'
def guild_invite_splash_url_as(guild, ext='png', size=None):
"""
Returns the guild's invite splash's image's url. If the guild has no invite splash, then returns `None`.
Parameters
----------
ext : `str`, Optional
The extension of the image's url. Can be any of: `'jpg'`, `'jpeg'`, `'png'`, `'webp'`.
size : `int`, Optional.
The preferred minimal size of the image's url. Can be any of: `16`, `32`, `64`, `128`, `256`, `512`,
`1024`, `2048`, `4096`.
Returns
-------
url : `str` or `None`
Raises
------
ValueError
If `ext` or `size` was not passed as any of the expected values.
"""
icon_type = guild.invite_splash_type
if icon_type is ICON_TYPE_NONE:
return None
if size is None:
end = ''
elif size in VALID_ICON_SIZES:
end = f'?size={size}'
else:
raise ValueError(f'Size must be power of 2 between 16 and 4096, got {size}.')
if ext is None:
if icon_type is ICON_TYPE_STATIC:
prefix = ''
ext = 'png'
else:
prefix = 'a_'
ext = 'gif'
else:
if icon_type is ICON_TYPE_STATIC:
if ext not in VALID_ICON_FORMATS_EXTENDED:
raise ValueError(f'Extension must be one of {VALID_ICON_FORMATS}, got {ext!r}.')
prefix = ''
else:
if ext not in VALID_ICON_FORMATS_EXTENDED:
raise ValueError(f'Extension must be one of {VALID_ICON_FORMATS_EXTENDED}, got {ext!r}.')
prefix = 'a_'
return f'{CDN_ENDPOINT}/splashes/{guild.id}/{prefix}{guild.invite_splash_hash:0>32x}.{ext}{end}'
def guild_discovery_splash_url(guild):
"""
Returns the guild's discovery splash's image's url. If the guild has no discovery splash, then returns `None`.
Returns
-------
url : `str` or `None`
"""
icon_type = guild.discovery_splash_type
if icon_type is ICON_TYPE_NONE:
return None
if icon_type is ICON_TYPE_STATIC:
prefix = ''
ext = 'png'
else:
prefix = 'a_'
ext = 'gif'
return f'{CDN_ENDPOINT}/discovery-splashes/{guild.id}/{prefix}{guild.discovery_splash_hash:0>32x}.{ext}'
def guild_discovery_splash_url_as(guild, ext='png', size=None):
"""
Returns the guild's discovery splash's image's url. If the guild has no discovery splash, then returns `None`.
Parameters
----------
ext : `str`, Optional
The extension of the image's url. Can be any of: `'jpg'`, `'jpeg'`, `'png'`, `'webp'`.
size : `int`, Optional.
The preferred minimal size of the image's url. Can be any of: `16`, `32`, `64`, `128`, `256`, `512`,
`1024`, `2048`, `4096`.
Returns
-------
url : `str` or `None`
Raises
------
ValueError
If `ext` or `size` was not passed as any of the expected values.
"""
icon_type = guild.discovery_splash_type
if icon_type is ICON_TYPE_NONE:
return None
if size is None:
end = ''
elif size in VALID_ICON_SIZES:
end = f'?size={size}'
else:
raise ValueError(f'Size must be power of 2 between 16 and 4096, got {size}.')
if ext is None:
if icon_type is ICON_TYPE_STATIC:
prefix = ''
ext = 'png'
else:
prefix = 'a_'
ext = 'gif'
else:
if icon_type is ICON_TYPE_STATIC:
if ext not in VALID_ICON_FORMATS_EXTENDED:
raise ValueError(f'Extension must be one of {VALID_ICON_FORMATS}, got {ext!r}.')
prefix = ''
else:
if ext not in VALID_ICON_FORMATS_EXTENDED:
raise ValueError(f'Extension must be one of {VALID_ICON_FORMATS_EXTENDED}, got {ext!r}.')
prefix = 'a_'
return f'{CDN_ENDPOINT}/discovery-splashes/{guild.id}/{prefix}{guild.discovery_splash_hash:0>32x}.{ext}{end}'
def guild_banner_url(guild):
"""
Returns the guild's banner's image's url. If the guild has no banner, then returns `None`.
Returns
-------
url : `str` or `None`
"""
icon_type = guild.banner_type
if icon_type is ICON_TYPE_NONE:
return None
if icon_type is ICON_TYPE_STATIC:
prefix = ''
ext = 'png'
else:
prefix = 'a_'
ext = 'gif'
return f'{CDN_ENDPOINT}/banners/{guild.id}/{prefix}{guild.banner_hash:0>32x}.{ext}'
def guild_banner_url_as(guild, ext='png', size=None):
"""
Returns the guild's banner's image's url. If the guild has no banner, then returns `None`.
Parameters
----------
ext : `str`, Optional
The extension of the image's url. Can be any of: `'jpg'`, `'jpeg'`, `'png'`, `'webp'`.
size : `int`, Optional.
The preferred minimal size of the image's url. Can be any of: `16`, `32`, `64`, `128`, `256`, `512`,
`1024`, `2048`, `4096`.
Returns
-------
url : `str` or `None`
Raises
------
ValueError
If `ext` or `size` was not passed as any of the expected values.
"""
icon_type = guild.banner_type
if icon_type is ICON_TYPE_NONE:
return None
if size is None:
end = ''
elif size in VALID_ICON_SIZES:
end = f'?size={size}'
else:
raise ValueError(f'Size must be power of 2 between 16 and 4096, got {size}.')
if ext is None:
if icon_type is ICON_TYPE_STATIC:
prefix = ''
ext = 'png'
else:
prefix = 'a_'
ext = 'gif'
else:
if icon_type is ICON_TYPE_STATIC:
if ext not in VALID_ICON_FORMATS_EXTENDED:
raise ValueError(f'Extension must be one of {VALID_ICON_FORMATS}, got {ext!r}.')
prefix = ''
else:
if ext not in VALID_ICON_FORMATS_EXTENDED:
raise ValueError(f'Extension must be one of {VALID_ICON_FORMATS_EXTENDED}, got {ext!r}.')
prefix = 'a_'
return f'{CDN_ENDPOINT}/banners/{guild.id}/{prefix}{guild.banner_hash:0>32x}.{ext}{end}'
def guild_widget_url(guild, style='shield'):
"""
Returns the guild's widget image's url in `.png` format.
Parameters
----------
style : `str`
The widget image's style. Can be any of: `'shield'`, `'banner1'`, `'banner2'`, `'banner3'`, `'banner4'`.
Returns
-------
url : `str`
Raises
------
ValueError
If `style` was not passed as any of the expected values.
"""
if STYLE_PATTERN.match(style) is None:
raise ValueError(f'Invalid style: {style!r}')
return f'{API_ENDPOINT}/guilds/{guild.id}/widget.png?style={style}'
def guild_widget_json_url(guild):
"""
Returns an url to request a ``Guild``'s widget data.
Returns
-------
url : `str`
"""
return f'{API_ENDPOINT}/guilds/{guild.id}/widget.json'
def channel_group_icon_url(channel):
"""
Returns the group channel's icon's image's url. If the channel has no icon, then returns `None`.
Returns
-------
url : `str` or `None`
"""
icon_type = channel.icon_type
if icon_type is ICON_TYPE_NONE:
return None
if icon_type is ICON_TYPE_STATIC:
prefix = ''
ext = 'png'
else:
prefix = 'a_'
ext = 'gif'
return f'{CDN_ENDPOINT}/channel-icons/{channel.id}/{prefix}{channel.icon_hash:0>32x}.{ext}'
def channel_group_icon_url_as(channel, ext='png', size=None):
"""
Returns the group channel's icon's image's url. If the channel has no icon, then returns `None`.
Parameters
----------
ext : `str`, Optional
The extension of the image's url. Can be any of: `'jpg'`, `'jpeg'`, `'png'`, `'webp'`.
size : `int`, Optional.
The preferred minimal size of the image's url. Can be any of: `16`, `32`, `64`, `128`, `256`, `512`,
`1024`, `2048`, `4096`.
Returns
-------
url : `str` or `None`
Raises
------
ValueError
If `ext` or `size` was not passed as any of the expected values.
"""
icon_type = channel.icon_type
if icon_type is ICON_TYPE_NONE:
return None
if size is None:
end = ''
elif size in VALID_ICON_SIZES:
end = f'?size={size}'
else:
raise ValueError(f'Size must be power of 2 between 16 and 4096, got {size}.')
if ext is None:
if icon_type is ICON_TYPE_STATIC:
prefix = ''
ext = 'png'
else:
prefix = 'a_'
ext = 'gif'
else:
if icon_type is ICON_TYPE_STATIC:
if ext not in VALID_ICON_FORMATS_EXTENDED:
raise ValueError(f'Extension must be one of {VALID_ICON_FORMATS}, got {ext!r}.')
prefix = ''
else:
if ext not in VALID_ICON_FORMATS_EXTENDED:
raise ValueError(f'Extension must be one of {VALID_ICON_FORMATS_EXTENDED}, got {ext!r}.')
prefix = 'a_'
return f'{CDN_ENDPOINT}/channel-icons/{channel.id}/{prefix}{channel.icon_hash:0>32x}.{ext}{end}'
def emoji_url(emoji):
"""
Returns the emoji's image's url. If the emoji is unicode emoji, then returns `None` instead.
Returns
-------
url : `str` or `None`
"""
if emoji.is_unicode_emoji():
return None
if emoji.animated:
ext = 'gif'
else:
ext = 'png'
return f'{CDN_ENDPOINT}/emojis/{emoji.id}.{ext}'
def emoji_url_as(emoji, ext=None, size=None):
"""
Returns the emoji's image's url. If the emoji is unicode emoji, then returns `None` instead.
Parameters
----------
ext : `str`, Optional
The extension of the image's url. Can be any of: `'jpg'`, `'jpeg'`, `'png'`, `'webp'`. If emoji is
animated, it can `'gif'` as well.
size : `int`, Optional.
The preferred minimal size of the image's url. Can be any of: `16`, `32`, `64`, `128`, `256`, `512`,
`1024`, `2048`, `4096`.
Returns
-------
url : `str` or `None`
Raises
------
ValueError
If `ext` or `size` was not passed as any of the expected values.
"""
if emoji.is_unicode_emoji():
return None
if size is None:
end = ''
elif size in VALID_ICON_SIZES:
end = f'?size={size}'
else:
raise ValueError(f'Size must be power of 2 between 16 and 4096, got {size}.')
if ext is None:
if emoji.animated:
ext = 'gif'
else:
ext = 'png'
else:
if emoji.animated:
if ext not in VALID_ICON_FORMATS_EXTENDED:
raise ValueError(f'Extension must be one of {VALID_ICON_FORMATS_EXTENDED}, got {ext!r}.')
else:
if ext not in VALID_ICON_FORMATS:
raise ValueError(f'Extension must be one of {VALID_ICON_FORMATS}, got {ext!r}.')
return f'{CDN_ENDPOINT}/emojis/{emoji.id}.{ext}{end}'
def webhook_url(webhook):
"""
Returns the webhook's url.
Returns
-------
url : `str`
"""
return f'{API_ENDPOINT}/webhooks/{webhook.id}/{webhook.token}'
WEBHOOK_URL_PATTERN = re.compile(
'(?:https://)?discord(?:app)?.com/api/(?:v\d/)?webhooks/([0-9]{17,21})/([a-zA-Z0-9\.\-\_%]{60,68})(?:/.*)?'
)
def invite_url(invite):
"""
Returns the invite's url.
Returns
-------
url : `str`
"""
return f'http://discord.gg/{invite.code}'
INVITE_URL_PATTERN = re.compile('(?:https?://)?discord(?:\.gg|(?:app)?\.com/invite)/([a-zA-Z0-9-]+)')
def activity_asset_image_large_url(activity):
"""
Returns the activity's large asset image's url. If the activity has no large asset image, then returns `None`.
Returns
-------
url : `str` or `None`
"""
application_id = activity.application_id
if not application_id:
return None
assets = activity.assets
if assets is None:
return None
image_large = assets.image_large
if image_large is None:
return None
return f'{CDN_ENDPOINT}/app-assets/{application_id}/{image_large}.png'
def activity_asset_image_large_url_as(activity, ext='png', size=None):
"""
Returns the activity's large asset image's url. If the activity has no large asset image, then returns `None`.
Parameters
----------
ext : `str`, Optional
The extension of the image's url. Can be any of: `'jpg'`, `'jpeg'`, `'png'`, `'webp'`.
size : `int`, Optional.
The preferred minimal size of the image's url. Can be any of: `16`, `32`, `64`, `128`, `256`, `512`,
`1024`, `2048`, `4096`.
Returns
-------
url : `str` or `None`
Raises
------
ValueError
If `ext` or `size` was not passed as any of the expected values.
"""
application_id = activity.application_id
if not application_id:
return None
assets = activity.assets
if assets is None:
return None
image_large = assets.image_large
if image_large is None:
return None
if size is None:
end = ''
elif size in VALID_ICON_SIZES:
end = f'?size={size}'
else:
raise ValueError(f'Size must be power of 2 between 16 and 4096, got {size}.')
if ext not in VALID_ICON_FORMATS:
raise ValueError(f'Extension must be one of {VALID_ICON_FORMATS}, got {ext!r}.')
return f'{CDN_ENDPOINT}/app-assets/{application_id}/{image_large}.{ext}{end}'
def activity_asset_image_small_url(activity):
"""
Returns the activity's small asset image's url. If the activity has no small asset image, then returns `None`.
Returns
-------
url : `str` or `None`
"""
application_id = activity.application_id
if not application_id:
return None
assets = activity.assets
if assets is None:
return None
image_small = assets.image_small
if image_small is None:
return None
return f'{CDN_ENDPOINT}/app-assets/{application_id}/{image_small}.png'
def activity_asset_image_small_url_as(activity, ext='png', size=None):
"""
Returns the activity's small asset image's url. If the activity has no small asset image, then returns `None`.
Parameters
----------
ext : `str`, Optional
The extension of the image's url. Can be any of: `'jpg'`, `'jpeg'`, `'png'`, `'webp'`.
size : `int`, Optional.
The preferred minimal size of the image's url. Can be any of: `16`, `32`, `64`, `128`, `256`, `512`,
`1024`, `2048`, `4096`.
Returns
-------
url : `str` or `None`
Raises
------
ValueError
If `ext` or `size` was not passed as any of the expected values.
"""
application_id = activity.application_id
if not application_id:
return None
assets = activity.assets
if assets is None:
return None
image_small = assets.image_small
if image_small is None:
return None
if size is None:
end = ''
elif size in VALID_ICON_SIZES:
end = f'?size={size}'
else:
raise ValueError(f'Size must be power of 2 between 16 and 4096, got {size}.')
if ext not in VALID_ICON_FORMATS:
raise ValueError(f'Extension must be one of {VALID_ICON_FORMATS}, got {ext!r}.')
return f'{CDN_ENDPOINT}/app-assets/{application_id}/{image_small}.{ext}{end}'
def user_avatar_url(user):
"""
Returns the user's avatar's url. If the user has no avatar, then returns it's default avatar's url.
Returns
-------
url : `str` or `None`
"""
icon_type = user.avatar_type
if icon_type is ICON_TYPE_NONE:
return user.default_avatar.url
if icon_type is ICON_TYPE_STATIC:
prefix = ''
ext = 'png'
else:
prefix = 'a_'
ext = 'gif'
return f'{CDN_ENDPOINT}/avatars/{user.id}/{prefix}{user.avatar_hash:0>32x}.{ext}'
def user_avatar_url_as(user, ext=None, size=None):
"""
Returns the user's avatar's url. If the user has no avatar, then returns it's default avatar's url.
Parameters
----------
ext : `str`, Optional
The extension of the image's url. Can be any of: `'jpg'`, `'jpeg'`, `'png'`, `'webp'`. If the user has
animated avatar, it can `'gif'` as well.
size : `int`, Optional.
The preferred minimal size of the avatar's url. Can be any of: `16`, `32`, `64`, `128`, `256`, `512`,
`1024`, `2048`, `4096`.
Returns
-------
url : `str` or `None`
Raises
------
ValueError
If `ext` or `size` was not passed as any of the expected values.
"""
icon_type = user.avatar_type
if icon_type is ICON_TYPE_NONE:
return user.default_avatar.url
if size is None:
end = ''
elif size in VALID_ICON_SIZES:
end = f'?size={size}'
else:
raise ValueError(f'Size must be power of 2 between 16 and 4096, got {size}.')
if ext is None:
if icon_type is ICON_TYPE_STATIC:
prefix = ''
ext = 'png'
else:
prefix = 'a_'
ext = 'gif'
else:
if icon_type is ICON_TYPE_STATIC:
if ext not in VALID_ICON_FORMATS_EXTENDED:
raise ValueError(f'Extension must be one of {VALID_ICON_FORMATS}, got {ext!r}.')
prefix = ''
else:
if ext not in VALID_ICON_FORMATS_EXTENDED:
raise ValueError(f'Extension must be one of {VALID_ICON_FORMATS_EXTENDED}, got {ext!r}.')
prefix = 'a_'
return f'{CDN_ENDPOINT}/avatars/{user.id}/{prefix}{user.avatar_hash:0>32x}.{ext}{end}'
def default_avatar_url(default_avatar):
"""
Returns the default avatar's url.
Returns
-------
url : `str`
"""
return f'{CDN_ENDPOINT}/embed/avatars/{default_avatar.value}.png'
def application_icon_url(application):
"""
Returns the application's icon's url. If the application has no icon, then returns `None`.
Returns
-------
url : `str` or `None`
"""
icon_type = application.icon_type
if icon_type is ICON_TYPE_NONE:
return None
if icon_type is ICON_TYPE_STATIC:
prefix = ''
ext = 'png'
else:
prefix = 'a_'
ext = 'gif'
return f'{CDN_ENDPOINT}/app-icons/{application.id}/{prefix}{application.icon_hash:0>32x}.{ext}'
def application_icon_url_as(application, ext='png', size=None):
"""
Returns the application's icon's url. If the application has no icon, then returns `None`.
Parameters
----------
ext : `str`, Optional
The extension of the icon's url. Can be any of: `'jpg'`, `'jpeg'`, `'png'`, `'webp'`.
size : `int`, Optional.
The preferred minimal size of the icon's url. Can be any of: `16`, `32`, `64`, `128`, `256`, `512`,
`1024`, `2048`, `4096`.
Returns
-------
url : `str` or `None`
Raises
------
ValueError
If `ext` or `size` was not passed as any of the expected values.
"""
icon_type = application.icon_type
if icon_type is ICON_TYPE_NONE:
return None
if size is None:
end = ''
elif size in VALID_ICON_SIZES:
end = f'?size={size}'
else:
raise ValueError(f'Size must be power of 2 between 16 and 4096, got {size}.')
if ext is None:
if icon_type is ICON_TYPE_STATIC:
prefix = ''
ext = 'png'
else:
prefix = 'a_'
ext = 'gif'
else:
if icon_type is ICON_TYPE_STATIC:
if ext not in VALID_ICON_FORMATS_EXTENDED:
raise ValueError(f'Extension must be one of {VALID_ICON_FORMATS}, got {ext!r}.')
prefix = ''
else:
if ext not in VALID_ICON_FORMATS_EXTENDED:
raise ValueError(f'Extension must be one of {VALID_ICON_FORMATS_EXTENDED}, got {ext!r}.')
prefix = 'a_'
return f'{CDN_ENDPOINT}/app-icons/{application.id}/{prefix}{application.icon_hash:0>32x}.{ext}{end}'
def application_cover_url(application):
"""
Returns the application's cover image's url. If the application has no cover image, then returns `None`.
Returns
-------
url : `str` or `None`
"""
icon_type = application.cover_type
if icon_type is ICON_TYPE_NONE:
return None
if icon_type is ICON_TYPE_STATIC:
prefix = ''
ext = 'png'
else:
prefix = 'a_'
ext = 'gif'
return f'{CDN_ENDPOINT}/app-assets/{application.id}/store/{prefix}{application.cover_hash:0>32x}.{ext}'
def application_cover_url_as(application, ext='png', size=None):
"""
Returns the application's cover image's url. If the application has no cover image, then returns `None`.
Parameters
----------
ext : `str`, Optional
The extension of the cover's url. Can be any of: `'jpg'`, `'jpeg'`, `'png'`, `'webp'`.
size : `int`, Optional.
The preferred minimal size of the cover's url. Can be any of: `16`, `32`, `64`, `128`, `256`, `512`,
`1024`, `2048`, `4096`.
Returns
-------
url : `str` or `None`
Raises
------
ValueError
If `ext` or `size` was not passed as any of the expected values.
"""
icon_type = application.cover_type
if icon_type is ICON_TYPE_NONE:
return None
if size is None:
end = ''
elif size in VALID_ICON_SIZES:
end = f'?size={size}'
else:
raise ValueError(f'Size must be power of 2 between 16 and 4096, got {size}.')
if ext is None:
if icon_type is ICON_TYPE_STATIC:
prefix = ''
ext = 'png'
else:
prefix = 'a_'
ext = 'gif'
else:
if icon_type is ICON_TYPE_STATIC:
if ext not in VALID_ICON_FORMATS_EXTENDED:
raise ValueError(f'Extension must be one of {VALID_ICON_FORMATS}, got {ext!r}.')
prefix = ''
else:
if ext not in VALID_ICON_FORMATS_EXTENDED:
raise ValueError(f'Extension must be one of {VALID_ICON_FORMATS_EXTENDED}, got {ext!r}.')
prefix = 'a_'
return f'{CDN_ENDPOINT}/app-assets/{application.id}/store/{prefix}{application.cover_hash:0>32x}.{ext}{end}'
def team_icon_url(team):
"""
Returns the team's icon's url. If the team has no icon, then returns `None`.
Returns
-------
url : `str` or `None`
"""
icon_type = team.icon_type
if icon_type is ICON_TYPE_NONE:
return None
if icon_type is ICON_TYPE_STATIC:
prefix = ''
ext = 'png'
else:
prefix = 'a_'
ext = 'gif'
return f'{CDN_ENDPOINT}/team-icons/{team.id}/{prefix}{team.icon_hash:0>32x}.{ext}'
def team_icon_url_as(team, ext='png', size=None):
"""
Returns the team's icon's url. If the team has no icon, then returns `None`.
Parameters
----------
ext : `str`, Optional
The extension of the icon's url. Can be any of: `'jpg'`, `'jpeg'`, `'png'`, `'webp'`.
size : `int`, Optional.
The preferred minimal size of the icon's url. Can be any of: `16`, `32`, `64`, `128`, `256`, `512`,
`1024`, `2048`, `4096`.
Returns
-------
url : `str` or `None`
Raises
------
ValueError
If `ext` or `size` was not passed as any of the expected values.
"""
icon_type = team.icon_type
if icon_type is ICON_TYPE_NONE:
return None
if size is None:
end = ''
elif size in VALID_ICON_SIZES:
end = f'?size={size}'
else:
raise ValueError(f'Size must be power of 2 between 16 and 4096, got {size}.')
if ext is None:
if icon_type is ICON_TYPE_STATIC:
prefix = ''
ext = 'png'
else:
prefix = 'a_'
ext = 'gif'
else:
if icon_type is ICON_TYPE_STATIC:
if ext not in VALID_ICON_FORMATS_EXTENDED:
raise ValueError(f'Extension must be one of {VALID_ICON_FORMATS}, got {ext!r}.')
prefix = ''
else:
if ext not in VALID_ICON_FORMATS_EXTENDED:
raise ValueError(f'Extension must be one of {VALID_ICON_FORMATS_EXTENDED}, got {ext!r}.')
prefix = 'a_'
return f'{CDN_ENDPOINT}/team-icons/{team.id}/{prefix}{team.icon_hash:0>32x}.{ext}{end}'
def achievement_icon_url(achievement):
"""
Returns the achievement's icon's url.
Returns
-------
url : `str` or `None`
"""
icon_type = achievement.icon_type
if icon_type is ICON_TYPE_NONE:
return None
if icon_type is ICON_TYPE_STATIC:
prefix = ''
ext = 'png'
else:
prefix = 'a_'
ext = 'gif'
return f'{CDN_ENDPOINT}/app-assets/{achievement.application_id}/achievements/{achievement.id}/icons/{prefix}{achievement.icon_hash:0>32x}.{ext}'
def achievement_icon_url_as(achievement, ext='png', size=None):
"""
Returns the achievement's icon's url.
Parameters
----------
ext : `str`, Optional
The extension of the icon's url. Can be any of: `'jpg'`, `'jpeg'`, `'png'`, `'webp'`.
size : `int`, Optional.
The preferred minimal size of the icon's url. Can be any of: `16`, `32`, `64`, `128`, `256`, `512`,
`1024`, `2048`, `4096`.
Returns
-------
url : `str` or `None`
Raises
------
ValueError
If `ext` or `size` was not passed as any of the expected values.
"""
icon_type = achievement.icon_type
if icon_type is ICON_TYPE_NONE:
return None
if size is None:
end = ''
elif size in VALID_ICON_SIZES:
end = f'?size={size}'
else:
raise ValueError(f'Size must be power of 2 between 16 and 4096, got {size}.')
if ext is None:
if icon_type is ICON_TYPE_STATIC:
prefix = ''
ext = 'png'
else:
prefix = 'a_'
ext = 'gif'
else:
if icon_type is ICON_TYPE_STATIC:
if ext not in VALID_ICON_FORMATS_EXTENDED:
raise ValueError(f'Extension must be one of {VALID_ICON_FORMATS}, got {ext!r}.')
prefix = ''
else:
if ext not in VALID_ICON_FORMATS_EXTENDED:
raise ValueError(f'Extension must be one of {VALID_ICON_FORMATS_EXTENDED}, got {ext!r}.')
prefix = 'a_'
return f'{CDN_ENDPOINT}/app-assets/{achievement.application_id}/achievements/{achievement.id}/icons/{prefix}{achievement.icon_hash:0>32x}.{ext}{end}'
# export
module_utils.MESSAGE_JUMP_URL_RP = MESSAGE_JUMP_URL_RP
| 29.88403 | 153 | 0.577136 | 4,292 | 31,438 | 4.080382 | 0.043802 | 0.060298 | 0.046594 | 0.03426 | 0.89602 | 0.886256 | 0.862045 | 0.846343 | 0.834866 | 0.827899 | 0 | 0.024132 | 0.293498 | 31,438 | 1,051 | 154 | 29.912464 | 0.764351 | 0.302373 | 0 | 0.820313 | 0 | 0.044922 | 0.268508 | 0.151128 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.007813 | 0 | 0.201172 | 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 |
1820201f41e7a21c0f04bce582543a2abaaba157 | 3,960 | py | Python | dataset/hotels5k.py | aarashfeizi/proxynca_pp | 6f78d464e1e4270e77b69e441b9d639771ae02dd | [
"MIT"
] | null | null | null | dataset/hotels5k.py | aarashfeizi/proxynca_pp | 6f78d464e1e4270e77b69e441b9d639771ae02dd | [
"MIT"
] | null | null | null | dataset/hotels5k.py | aarashfeizi/proxynca_pp | 6f78d464e1e4270e77b69e441b9d639771ae02dd | [
"MIT"
] | null | null | null | from .base import *
import h5py
import torch
class Hotels5k(BaseDatasetMod):
def __init__(self, root, source, classes, transform=None):
BaseDatasetMod.__init__(self, root, source, classes, transform)
index = 0
for i in torchvision.datasets.ImageFolder(root=
os.path.join(root, 'images')).imgs:
# i[1]: label, i[0]: root
y = i[1]
# fn needed for removing non-images starting with `._`
fn = os.path.split(i[0])[1]
if y in self.classes and fn[:2] != '._':
self.ys += [y]
self.I += [index]
self.im_paths.append(os.path.join(root, i[0]))
index += 1
class Hotels5k_hdf5(BaseDataset_hdf5):
def __init__(self, root, source, classes, transform=None):
BaseDataset_hdf5.__init__(self, root, source, classes, transform)
index = 0
self.data_y = h5py.File(root, 'r')
self.all_labels = torch.Tensor(self.data_y['y']).squeeze().long()
self.data_y.close()
self.data_y = None
for ix in range(len(self.all_labels)):
self.ys += [self.all_labels[ix].item()]
self.I += [ix]
index += 1
class Hotels5k_hdf5_alt(BaseDataset_hdf5_alt):
def __init__(self, root, source, classes, transform=None):
BaseDataset_hdf5_alt.__init__(self, root, source, classes, transform)
index = 0
self.data_y = h5py.File(root, 'r')
self.all_labels = torch.Tensor(self.data_y['y']).squeeze().long()
self.data_y.close()
self.data_y = None
for ix in range(len(self.all_labels)):
if self.all_labels[ix] in self.classes:
self.ys += [self.all_labels[ix].item()]
self.I += [ix]
index += 1
class Hotels5k_hdf5_bb(BaseDataset_hdf5_bb):
def __init__(self, root, source, classes, transform=None):
BaseDataset_hdf5_bb.__init__(self, root, source, classes, transform)
index = 0
self.data_y = h5py.File(root, 'r')
self.all_labels = torch.Tensor(self.data_y['y']).squeeze().long()
self.data_y.close()
self.data_y = None
for ix in range(len(self.all_labels)):
if self.all_labels[ix] in self.classes:
self.ys += [self.all_labels[ix].item()]
self.I += [ix]
index += 1
class Hotels5k_class(BaseDatasetMod):
def __init__(self, root, source, classes, transform=None, mode='train'):
BaseDatasetMod.__init__(self, root, source, classes, transform)
index = 0
for i in torchvision.datasets.ImageFolder(root=
os.path.join(root, 'images')).imgs:
# i[1]: label, i[0]: root
y = i[1]
# fn needed for removing non-images starting with `._`
fn = os.path.split(i[0])[1]
if y in self.classes and fn[:2] != '._':
self.ys += [y]
self.I += [index]
self.im_paths.append(os.path.join(root, i[0]))
index += 1
cut_off = int(len(self.ys) * 0.5)
torch.manual_seed(1)
rand_list = torch.randperm(len(self.ys)).tolist()
ys = []
I = []
paths = []
if mode == 'train':
for ix in range(len(self.ys)):
if ix < cut_off:
ys.append(self.ys[rand_list[ix]])
I.append(self.I[rand_list[ix]])
paths.append(self.im_paths[rand_list[ix]])
else:
for ix in range(len(self.ys)):
if ix >= cut_off:
ys.append(self.ys[rand_list[ix]])
I.append(self.I[rand_list[ix]])
paths.append(self.im_paths[rand_list[ix]])
self.ys = ys
self.I = I
self.im_paths = paths
| 36 | 85 | 0.530808 | 508 | 3,960 | 3.942913 | 0.149606 | 0.035946 | 0.053919 | 0.089865 | 0.876685 | 0.868198 | 0.868198 | 0.868198 | 0.868198 | 0.81328 | 0 | 0.017136 | 0.336869 | 3,960 | 109 | 86 | 36.330275 | 0.745621 | 0.038636 | 0 | 0.715909 | 0 | 0 | 0.008417 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.056818 | false | 0 | 0.034091 | 0 | 0.147727 | 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 |
43ea81e70bc10c3d26951285f75b2917c76aa62f | 740 | py | Python | lambdas/web_helper.py | ongzhixian/mini-aws | 8e188eeb6a5f597a21260eabc268d979dc4b6a05 | [
"MIT"
] | null | null | null | lambdas/web_helper.py | ongzhixian/mini-aws | 8e188eeb6a5f597a21260eabc268d979dc4b6a05 | [
"MIT"
] | null | null | null | lambdas/web_helper.py | ongzhixian/mini-aws | 8e188eeb6a5f597a21260eabc268d979dc4b6a05 | [
"MIT"
] | null | null | null |
class ContentType:
JSON = "application/json"
HTML = "text/html"
TEXT = "text/plain"
def response(content, status_code = 200, content_type = ContentType.HTML):
return {
"statusCode": status_code,
"body": content,
"headers": {
"Content-Type": content_type
}
}
def html_response(content, status_code = 200, content_type = ContentType.HTML):
return response(content, status_code, content_type)
def json_response(content, status_code = 200, content_type = ContentType.JSON):
return response(content, status_code, content_type)
def text_response(content, status_code = 200, content_type = ContentType.TEXT):
return response(content, status_code, content_type)
| 25.517241 | 79 | 0.690541 | 86 | 740 | 5.72093 | 0.209302 | 0.20122 | 0.29878 | 0.355691 | 0.703252 | 0.703252 | 0.703252 | 0.617886 | 0.243902 | 0.243902 | 0 | 0.020443 | 0.206757 | 740 | 28 | 80 | 26.428571 | 0.817717 | 0 | 0 | 0.166667 | 0 | 0 | 0.092141 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0 | 0 | 0.222222 | 0.666667 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 1 | 1 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 7 |
a13fd7b3e5c4d5ee16481649bf638a3a88c4ab2a | 604 | py | Python | src_py/test.py | somefunAgba/expalts | 80d992d509e71d858bf7bad9308235619cd8d7ee | [
"BSD-3-Clause"
] | null | null | null | src_py/test.py | somefunAgba/expalts | 80d992d509e71d858bf7bad9308235619cd8d7ee | [
"BSD-3-Clause"
] | null | null | null | src_py/test.py | somefunAgba/expalts | 80d992d509e71d858bf7bad9308235619cd8d7ee | [
"BSD-3-Clause"
] | null | null | null | # python test
import time
from expalts import expalts
n = 40
print('C++: bones limit')
start_time = time.perf_counter_ns()
print('Answer:', expalts.bones(n,0))
print('Time:', (time.perf_counter_ns() - start_time) / 1e9, 's')
print('C++: bones in-built')
start_time = time.perf_counter_ns()
print('Answer:', expalts.bones(n,1))
print('Time:', (time.perf_counter_ns() - start_time) / 1e9, 's')
print('C++: bones laplace')
start_time = time.perf_counter_ns()
print('Answer:', expalts.bones(n,2))
print('Time:', (time.perf_counter_ns() - start_time) / 1e9, 's')
# View methods in the module
help(expalts) | 27.454545 | 64 | 0.695364 | 96 | 604 | 4.1875 | 0.3125 | 0.134328 | 0.179104 | 0.283582 | 0.718905 | 0.718905 | 0.718905 | 0.718905 | 0.718905 | 0.718905 | 0 | 0.020484 | 0.110927 | 604 | 22 | 65 | 27.454545 | 0.728119 | 0.062914 | 0 | 0.375 | 0 | 0 | 0.163121 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.125 | 0 | 0.125 | 0.5625 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 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 | 1 | 0 | 7 |
a156b3df1770250ddb0c51bc94d2e469d9e2070c | 129 | py | Python | src/training/Core2/task6/exercise_11_15.py | MagicForest/Python | 8af56e9384061504f05b229467c922ba71a433cb | [
"Apache-2.0"
] | null | null | null | src/training/Core2/task6/exercise_11_15.py | MagicForest/Python | 8af56e9384061504f05b229467c922ba71a433cb | [
"Apache-2.0"
] | null | null | null | src/training/Core2/task6/exercise_11_15.py | MagicForest/Python | 8af56e9384061504f05b229467c922ba71a433cb | [
"Apache-2.0"
] | null | null | null | def print_char_by_char(str):
for c in str:
print c
if __name__ == '__main__':
print_char_by_char('abdef') | 18.428571 | 31 | 0.620155 | 20 | 129 | 3.3 | 0.6 | 0.272727 | 0.333333 | 0.454545 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.27907 | 129 | 7 | 31 | 18.428571 | 0.709677 | 0 | 0 | 0 | 0 | 0 | 0.104839 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0.6 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 7 |
a176171bb7801257ba9afc4cdc5fb121339d15f7 | 10,978 | py | Python | careers/migrations/0006_auto_20210828_0834.py | zain-Z/humimp | fd7e4e211dce62639e2fce2dd9f9506240a7a3d9 | [
"MIT"
] | null | null | null | careers/migrations/0006_auto_20210828_0834.py | zain-Z/humimp | fd7e4e211dce62639e2fce2dd9f9506240a7a3d9 | [
"MIT"
] | null | null | null | careers/migrations/0006_auto_20210828_0834.py | zain-Z/humimp | fd7e4e211dce62639e2fce2dd9f9506240a7a3d9 | [
"MIT"
] | null | null | null | # Generated by Django 3.0.6 on 2021-08-28 06:34
import careers.validators
import datetime
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('careers', '0005_auto_20210825_1547'),
]
operations = [
migrations.AlterField(
model_name='careerdetail',
name='contract_duration',
field=models.CharField(blank=True, default='', max_length=300),
),
migrations.AlterField(
model_name='careerdetail',
name='deadline',
field=models.DateField(blank=True, default=datetime.date.today),
),
migrations.AlterField(
model_name='careerdetail',
name='description',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='careerdetail',
name='governorate',
field=models.CharField(blank=True, default='', max_length=300),
),
migrations.AlterField(
model_name='careerdetail',
name='image_career_details',
field=models.FileField(blank=True, default='', upload_to='background/career_details/', validators=[careers.validators.validate_image_extension]),
),
migrations.AlterField(
model_name='careerdetail',
name='job_shift',
field=models.CharField(blank=True, choices=[('1', 'Full time'), ('2', 'Part time'), ('3', 'Internship')], default='', max_length=1),
),
migrations.AlterField(
model_name='careerdetail',
name='job_type',
field=models.CharField(blank=True, choices=[('1', 'Full time'), ('2', 'Part time'), ('3', 'Internship')], default='', max_length=1),
),
migrations.AlterField(
model_name='careerdetail',
name='location',
field=models.CharField(blank=True, default='', max_length=300),
),
migrations.AlterField(
model_name='careerdetail',
name='minimum_education',
field=models.CharField(blank=True, default='', max_length=300),
),
migrations.AlterField(
model_name='careerdetail',
name='minimum_experience',
field=models.CharField(blank=True, default='', max_length=300),
),
migrations.AlterField(
model_name='careerdetail',
name='no_of_jobs',
field=models.PositiveIntegerField(blank=True, default=1),
),
migrations.AlterField(
model_name='careerdetail',
name='posted',
field=models.DateField(blank=True, default=datetime.date.today),
),
migrations.AlterField(
model_name='careerdetail',
name='puplished',
field=models.DateField(blank=True, default=datetime.date.today),
),
migrations.AlterField(
model_name='careerdetail',
name='required_travel',
field=models.CharField(blank=True, default='', max_length=150),
),
migrations.AlterField(
model_name='careerdetail',
name='role_1',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='careerdetail',
name='role_10',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='careerdetail',
name='role_11',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='careerdetail',
name='role_12',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='careerdetail',
name='role_13',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='careerdetail',
name='role_14',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='careerdetail',
name='role_15',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='careerdetail',
name='role_16',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='careerdetail',
name='role_17',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='careerdetail',
name='role_18',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='careerdetail',
name='role_19',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='careerdetail',
name='role_2',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='careerdetail',
name='role_20',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='careerdetail',
name='role_3',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='careerdetail',
name='role_4',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='careerdetail',
name='role_5',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='careerdetail',
name='role_6',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='careerdetail',
name='role_7',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='careerdetail',
name='role_8',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='careerdetail',
name='role_9',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='careerdetail',
name='skill_1',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='careerdetail',
name='skill_10',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='careerdetail',
name='skill_11',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='careerdetail',
name='skill_12',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='careerdetail',
name='skill_13',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='careerdetail',
name='skill_14',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='careerdetail',
name='skill_15',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='careerdetail',
name='skill_16',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='careerdetail',
name='skill_17',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='careerdetail',
name='skill_18',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='careerdetail',
name='skill_19',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='careerdetail',
name='skill_2',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='careerdetail',
name='skill_20',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='careerdetail',
name='skill_3',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='careerdetail',
name='skill_4',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='careerdetail',
name='skill_5',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='careerdetail',
name='skill_6',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='careerdetail',
name='skill_7',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='careerdetail',
name='skill_8',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='careerdetail',
name='skill_9',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='careerdetail',
name='title',
field=models.CharField(blank=True, default='', max_length=300),
),
migrations.AlterField(
model_name='careerdetatilimage',
name='image_footer_logo_career_detail_image',
field=models.FileField(blank=True, default='', upload_to='background/career_detail_image/', validators=[careers.validators.validate_image_extension]),
),
migrations.AlterField(
model_name='careerdetatilimage',
name='image_header_logo_sticky_career_detail_image',
field=models.FileField(blank=True, default='', upload_to='background/career_detail_image/', validators=[careers.validators.validate_image_extension]),
),
migrations.AlterField(
model_name='careerlist',
name='image_bg_career_list',
field=models.FileField(blank=True, default='', upload_to='background/career_list/', validators=[careers.validators.validate_image_extension]),
),
]
| 35.875817 | 162 | 0.555839 | 953 | 10,978 | 6.243442 | 0.114376 | 0.194958 | 0.243697 | 0.282689 | 0.924874 | 0.924874 | 0.909076 | 0.880336 | 0.872773 | 0.872773 | 0 | 0.01635 | 0.31472 | 10,978 | 305 | 163 | 35.993443 | 0.774558 | 0.004099 | 0 | 0.759197 | 1 | 0 | 0.133931 | 0.019669 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.010033 | 0 | 0.020067 | 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 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
a194ee56fa82c6c22dcd91ba74bf2848269757fe | 253 | py | Python | models/datasets/__init__.py | MorMundHS-MA/predicting-bugs-gnn | 139c7a41b48f2d62c7ded44bb5e6ad56d2584a95 | [
"MIT"
] | null | null | null | models/datasets/__init__.py | MorMundHS-MA/predicting-bugs-gnn | 139c7a41b48f2d62c7ded44bb5e6ad56d2584a95 | [
"MIT"
] | null | null | null | models/datasets/__init__.py | MorMundHS-MA/predicting-bugs-gnn | 139c7a41b48f2d62c7ded44bb5e6ad56d2584a95 | [
"MIT"
] | null | null | null | from models.datasets.bugs_dataset import BugFixDataset
from models.datasets.complexity_dataset import ComplexityDataset
from models.datasets.bugs_pair_dataset import BugFixPairDataset
from models.datasets.mongodb_datasource import MongoDBDataSource
| 50.6 | 65 | 0.889328 | 29 | 253 | 7.586207 | 0.482759 | 0.181818 | 0.327273 | 0.2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.079051 | 253 | 4 | 66 | 63.25 | 0.944206 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 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 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
a1d2c50ebf695929cbfc9bb570da28a73cf2d98d | 201 | py | Python | Kapitel-1/programm5.py | BeatRush2011/TI3-Prog-Ressel | 09741260734cd8555e5dddfbd79ab947921c9fdc | [
"MIT"
] | null | null | null | Kapitel-1/programm5.py | BeatRush2011/TI3-Prog-Ressel | 09741260734cd8555e5dddfbd79ab947921c9fdc | [
"MIT"
] | null | null | null | Kapitel-1/programm5.py | BeatRush2011/TI3-Prog-Ressel | 09741260734cd8555e5dddfbd79ab947921c9fdc | [
"MIT"
] | null | null | null | from datetime import date
print(f'Tage zwischen 1.1.2000 und 24.12.2020: {6 * 366 + 15 * 365 - 8} Tage')
print(f'Mittels Pythons datetime Modul: {(date(2020, 12, 24) - date(2000, 1, 1)).days} Tage')
| 33.5 | 93 | 0.666667 | 37 | 201 | 3.621622 | 0.621622 | 0.089552 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.22619 | 0.164179 | 201 | 5 | 94 | 40.2 | 0.571429 | 0 | 0 | 0 | 0 | 0.666667 | 0.751244 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.333333 | 0 | 0.333333 | 0.666667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 7 |
62c383558289218c720ba68bf810685c9245c4be | 207 | py | Python | anyway_etl/anyway_kubectl.py | ephraimberkovitch/anyway-etl | e5b4b8c18ef9899c8edbdbc8bfecc933b56c892b | [
"MIT"
] | null | null | null | anyway_etl/anyway_kubectl.py | ephraimberkovitch/anyway-etl | e5b4b8c18ef9899c8edbdbc8bfecc933b56c892b | [
"MIT"
] | 15 | 2021-08-22T11:53:47.000Z | 2022-02-21T17:09:53.000Z | anyway_etl/anyway_kubectl.py | ephraimberkovitch/anyway-etl | e5b4b8c18ef9899c8edbdbc8bfecc933b56c892b | [
"MIT"
] | 5 | 2021-07-20T22:19:35.000Z | 2022-02-22T09:44:25.000Z | import subprocess
from .config import ANYWAY_KUBECTL_NAMESPACE
def check_call(*args):
subprocess.check_call(['kubectl', '-n', ANYWAY_KUBECTL_NAMESPACE, 'exec', 'deployment/anyway-main', '--', *args])
| 25.875 | 117 | 0.73913 | 25 | 207 | 5.88 | 0.6 | 0.176871 | 0.29932 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.10628 | 207 | 7 | 118 | 29.571429 | 0.794595 | 0 | 0 | 0 | 0 | 0 | 0.178744 | 0.10628 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | true | 0 | 0.5 | 0 | 0.75 | 0 | 1 | 0 | 0 | null | 0 | 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 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
a7f9c8b66f26760621e2768bacc0577507d728f2 | 7,031 | py | Python | qmeq/tests/data_builder_elph.py | M-Josefsson/qmeq | f4f08864fc778de7c14b198c0ffbaafe33ce18f6 | [
"BSD-2-Clause"
] | 16 | 2016-12-14T09:21:16.000Z | 2022-02-23T08:01:45.000Z | qmeq/tests/data_builder_elph.py | M-Josefsson/qmeq | f4f08864fc778de7c14b198c0ffbaafe33ce18f6 | [
"BSD-2-Clause"
] | 3 | 2018-02-03T19:13:01.000Z | 2021-06-09T14:10:28.000Z | qmeq/tests/data_builder_elph.py | M-Josefsson/qmeq | f4f08864fc778de7c14b198c0ffbaafe33ce18f6 | [
"BSD-2-Clause"
] | 7 | 2017-07-09T04:46:42.000Z | 2021-04-26T16:27:55.000Z | data = {
'Pauli22current': [-3.602032381671809e-08, 3.6020323816713775e-08, -3.602032381671809e-08, 3.6020323816713775e-08],
'Pauli22energy_current': [-3.6020323816717015e-09, -3.6020323816714856e-09, -3.6020323816717015e-09, -3.6020323816714856e-09],
'Redfield00current': [-2.396815483544316e-08, 2.396815483540777e-08, -2.396815483544316e-08, 2.396815483540777e-08],
'Redfield00energy_current': [-2.689229619262236e-09, -4.072076712399872e-09, -2.689229619262236e-09, -4.072076712399872e-09],
'Redfield02current': [-3.600941233519408e-08, 3.600941233518016e-08, -3.600941233519408e-08, 3.600941233518016e-08],
'Redfield02energy_current': [-3.606873616307786e-09, -3.602008515832424e-09, -3.606873616307786e-09, -3.602008515832424e-09],
'Redfield10current': [-2.3965670226602342e-08, 2.39656702266174e-08, -2.3965670226602342e-08, 2.39656702266174e-08],
'Redfield10energy_current': [-2.68947820124473e-09, -4.072370573058238e-09, -2.68947820124473e-09, -4.072370573058238e-09],
'Redfield12current': [-3.600695619491466e-08, 3.60069561949047e-08, -3.600695619491466e-08, 3.60069561949047e-08],
'Redfield12energy_current': [-3.6071142033407265e-09, -3.602301518523242e-09, -3.607114203340726e-09, -3.6023015185232415e-09],
'Redfield20current': [-2.3979370744862137e-08, 2.3979370744834503e-08, -2.3979370744862137e-08, 2.3979370744834503e-08],
'Redfield20energy_current': [-2.6850534312908126e-09, -4.071367007741718e-09, -2.6850534312908126e-09, -4.071367007741718e-09],
'Redfield22current': [-3.602031349920948e-08, 3.602031349918888e-08, -3.602031349920948e-08, 3.602031349918888e-08],
'Redfield22energy_current': [-3.602031595941338e-09, -3.6020327838284667e-09, -3.602031595941338e-09, -3.6020327838284667e-09],
'1vN00current': [-1.985304901425201e-08, 1.985304901420306e-08, -1.985304901425201e-08, 1.985304901420306e-08],
'1vN00energy_current': [-2.2734997137905297e-09, -3.658335646791615e-09, -2.2734997137905297e-09, -3.6583356467916152e-09],
'1vN02current': [-3.601239045924915e-08, 3.601239045924151e-08, -3.601239045924915e-08, 3.601239045924151e-08],
'1vN02energy_current': [-3.601992870105317e-09, -3.605360209892802e-09, -3.6019928701053175e-09, -3.605360209892802e-09],
'1vN10current': [-1.9850625426784767e-08, 1.9850625426805132e-08, -1.9850625426784767e-08, 1.9850625426805132e-08],
'1vN10energy_current': [-2.273640315079029e-09, -3.6584768389031423e-09, -2.273640315079029e-09, -3.658476838903142e-09],
'1vN12current': [-3.600993541674126e-08, 3.600993541674398e-08, -3.600993541674126e-08, 3.600993541674398e-08],
'1vN12energy_current': [-3.6021343397972284e-09, -3.605492920352015e-09, -3.6021343397972284e-09, -3.605492920352015e-09],
'1vN20current': [-1.9860646245046236e-08, 1.9860646245034424e-08, -1.9860646245046236e-08, 1.9860646245034424e-08],
'1vN20energy_current': [-2.272566745499942e-09, -3.6559145437733978e-09, -2.272566745499942e-09, -3.6559145437733978e-09],
'1vN22current': [-3.602030995450536e-08, 3.602030995449963e-08, -3.602030995450536e-08, 3.602030995449963e-08],
'1vN22energy_current': [-3.602031241471274e-09, -3.602032429359029e-09, -3.602031241471274e-09, -3.602032429359029e-09],
'Lindblad22current': [-3.602190690666546e-08, 3.6017106162292576e-08, -3.602190690666546e-08, 3.6017106162292576e-08],
'Lindblad22energy_current': [-3.602070531210417e-09, -3.6018304939917723e-09, -3.602070531210417e-09, -3.6018304939917723e-09],
'pyPauli22current': [-3.602032381671809e-08, 3.6020323816713775e-08, -3.602032381671809e-08, 3.6020323816713775e-08],
'pyPauli22energy_current': [-3.6020323816717015e-09, -3.6020323816714856e-09, -3.6020323816717015e-09, -3.6020323816714856e-09],
'pyRedfield00current': [-2.396815483544316e-08, 2.396815483540777e-08, -2.396815483544316e-08, 2.396815483540777e-08],
'pyRedfield00energy_current': [-2.689229619262236e-09, -4.072076712399872e-09, -2.689229619262236e-09, -4.072076712399872e-09],
'pyRedfield02current': [-3.600941233519408e-08, 3.600941233518016e-08, -3.600941233519408e-08, 3.600941233518016e-08],
'pyRedfield02energy_current': [-3.606873616307786e-09, -3.602008515832424e-09, -3.606873616307786e-09, -3.602008515832424e-09],
'pyRedfield10current': [-2.3965670226602342e-08, 2.39656702266174e-08, -2.3965670226602342e-08, 2.39656702266174e-08],
'pyRedfield10energy_current': [-2.68947820124473e-09, -4.072370573058238e-09, -2.68947820124473e-09, -4.072370573058238e-09],
'pyRedfield12current': [-3.600695619491466e-08, 3.60069561949047e-08, -3.600695619491466e-08, 3.60069561949047e-08],
'pyRedfield12energy_current': [-3.6071142033407265e-09, -3.602301518523242e-09, -3.607114203340726e-09, -3.6023015185232415e-09],
'pyRedfield20current': [-2.3979370744862137e-08, 2.3979370744834503e-08, -2.3979370744862137e-08, 2.3979370744834503e-08],
'pyRedfield20energy_current': [-2.6850534312908126e-09, -4.071367007741718e-09, -2.6850534312908126e-09, -4.071367007741718e-09],
'pyRedfield22current': [-3.602031349920948e-08, 3.602031349918888e-08, -3.602031349920948e-08, 3.602031349918888e-08],
'pyRedfield22energy_current': [-3.602031595941338e-09, -3.6020327838284667e-09, -3.602031595941338e-09, -3.6020327838284667e-09],
'py1vN00current': [-1.985304901425201e-08, 1.985304901420306e-08, -1.985304901425201e-08, 1.985304901420306e-08],
'py1vN00energy_current': [-2.2734997137905297e-09, -3.658335646791615e-09, -2.2734997137905297e-09, -3.6583356467916152e-09],
'py1vN02current': [-3.601239045924915e-08, 3.601239045924151e-08, -3.601239045924915e-08, 3.601239045924151e-08],
'py1vN02energy_current': [-3.601992870105317e-09, -3.605360209892802e-09, -3.6019928701053175e-09, -3.605360209892802e-09],
'py1vN10current': [-1.9850625426784767e-08, 1.9850625426805132e-08, -1.9850625426784767e-08, 1.9850625426805132e-08],
'py1vN10energy_current': [-2.273640315079029e-09, -3.6584768389031423e-09, -2.273640315079029e-09, -3.658476838903142e-09],
'py1vN12current': [-3.600993541674126e-08, 3.600993541674398e-08, -3.600993541674126e-08, 3.600993541674398e-08],
'py1vN12energy_current': [-3.6021343397972284e-09, -3.605492920352015e-09, -3.6021343397972284e-09, -3.605492920352015e-09],
'py1vN20current': [-1.9860646245046236e-08, 1.9860646245034424e-08, -1.9860646245046236e-08, 1.9860646245034424e-08],
'py1vN20energy_current': [-2.272566745499942e-09, -3.6559145437733978e-09, -2.272566745499942e-09, -3.6559145437733978e-09],
'py1vN22current': [-3.602030995450536e-08, 3.602030995449963e-08, -3.602030995450536e-08, 3.602030995449963e-08],
'py1vN22energy_current': [-3.602031241471274e-09, -3.602032429359029e-09, -3.602031241471274e-09, -3.602032429359029e-09],
'pyLindblad22current': [-3.602046960217681e-08, 3.6020469602176456e-08, -3.602046960217681e-08, 3.6020469602176456e-08],
'pyLindblad22energy_current': [-3.6020468747597642e-09, -3.602046874759747e-09, -3.6020468747597642e-09, -3.602046874759747e-09]
} | 121.224138 | 133 | 0.767743 | 757 | 7,031 | 7.093791 | 0.17041 | 0.03352 | 0.014153 | 0.014898 | 0.838734 | 0.838734 | 0.780633 | 0.780633 | 0.780633 | 0.780633 | 0 | 0.649387 | 0.072678 | 7,031 | 58 | 134 | 121.224138 | 0.174233 | 0 | 0 | 0 | 0 | 0 | 0.152446 | 0.073948 | 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 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
3d745de6754224b71dc6cb54e7feb60da2baf9bb | 1,042 | py | Python | HackerRank/Python/Strings/Alphabet Rangoli.py | anubhab-code/Competitive-Programming | de28cb7d44044b9e7d8bdb475da61e37c018ac35 | [
"MIT"
] | null | null | null | HackerRank/Python/Strings/Alphabet Rangoli.py | anubhab-code/Competitive-Programming | de28cb7d44044b9e7d8bdb475da61e37c018ac35 | [
"MIT"
] | null | null | null | HackerRank/Python/Strings/Alphabet Rangoli.py | anubhab-code/Competitive-Programming | de28cb7d44044b9e7d8bdb475da61e37c018ac35 | [
"MIT"
] | null | null | null | def print_rangoli(size):
w = (n-1) * 2 + ((n * 2) - 1)
#upper half
for i in range(1,n,1):
number_of_letter = (i*2) - 1
s = ''
letter_value = 97 + n - 1
for i in range(0,number_of_letter):
if(i != 0):
s += '-'
s += chr(letter_value)
if(i<(number_of_letter-1) / 2):
letter_value = letter_value - 1
else:
letter_value = letter_value + 1
print(s.center(w,'-'))
#bottom half
for i in range(n,0,-1):
number_of_letter = (i*2) - 1
s = ''
letter_value = 97 + n - 1
for i in range(0,number_of_letter):
if(i != 0):
s += '-'
s += chr(letter_value)
if(i<(number_of_letter-1) / 2):
letter_value = letter_value - 1
else:
letter_value = letter_value + 1
print(s.center(w,'-'))
if __name__ == '__main__':
print_rangoli(int(input())) | 29.771429 | 59 | 0.440499 | 136 | 1,042 | 3.125 | 0.220588 | 0.310588 | 0.197647 | 0.103529 | 0.832941 | 0.762353 | 0.762353 | 0.762353 | 0.762353 | 0.762353 | 0 | 0.05 | 0.424184 | 1,042 | 35 | 60 | 29.771429 | 0.658333 | 0.020154 | 0 | 0.8 | 0 | 0 | 0.011765 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033333 | false | 0 | 0 | 0 | 0.033333 | 0.133333 | 0 | 0 | 0 | null | 1 | 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 | 9 |
3d7de87276529fc3316d285b375dc91862c999e2 | 3,744 | py | Python | uat/test_uat_publish.py | timmattison/aws-greengrass-gdk-cli | 60a002f0f2fee84b79022662ba0cae9e0246b6f8 | [
"Apache-2.0"
] | 10 | 2022-01-15T09:50:32.000Z | 2022-03-26T16:39:49.000Z | uat/test_uat_publish.py | timmattison/aws-greengrass-gdk-cli | 60a002f0f2fee84b79022662ba0cae9e0246b6f8 | [
"Apache-2.0"
] | 46 | 2021-11-30T19:49:16.000Z | 2022-03-31T07:14:23.000Z | uat/test_uat_publish.py | timmattison/aws-greengrass-gdk-cli | 60a002f0f2fee84b79022662ba0cae9e0246b6f8 | [
"Apache-2.0"
] | 7 | 2021-11-30T19:49:42.000Z | 2022-03-17T16:25:34.000Z | import os
from pathlib import Path
import t_utils
def test_publish_template_zip(change_test_dir, gdk_cli):
# Recipe contains HelloWorld.zip artifact. So, create HelloWorld directory inside temporary directory.
path_HelloWorld = Path(change_test_dir).joinpath("HelloWorld")
component_name = "com.example.PythonHelloWorld"
region = "us-east-1"
bucket = "gdk-cli-uat"
author = "gdk-cli-uat"
# Check if init downloads templates with necessary files.
check_init_template = gdk_cli.run(["component", "init", "-t", "HelloWorld", "-l", "python", "-n", "HelloWorld"])
assert check_init_template.returncode == 0
assert Path(path_HelloWorld).joinpath("recipe.yaml").resolve().exists()
config_file = Path(path_HelloWorld).joinpath("gdk-config.json").resolve()
assert config_file.exists()
t_utils.update_config(config_file, component_name, region, bucket, author)
os.chdir(path_HelloWorld)
# Check if build works as expected.
check_build_template = gdk_cli.run(["component", "build"])
assert check_build_template.returncode == 0
assert Path(path_HelloWorld).joinpath("zip-build").resolve().exists()
assert Path(path_HelloWorld).joinpath("greengrass-build").resolve().exists()
artifact_path = (
Path(path_HelloWorld)
.joinpath("greengrass-build")
.joinpath("artifacts")
.joinpath(component_name)
.joinpath("NEXT_PATCH")
.joinpath("HelloWorld.zip")
.resolve()
)
assert artifact_path.exists()
check_publish_component = gdk_cli.run(["component", "publish"])
assert check_publish_component.returncode == 0
recipes_path = Path(path_HelloWorld).joinpath("greengrass-build").joinpath("recipes").resolve()
t_utils.clean_up_aws_resources(component_name, t_utils.get_version_created(recipes_path, component_name), region)
def test_publish_without_build_template_zip_with_bucket_arg(change_test_dir, gdk_cli):
# Recipe contains HelloWorld.zip artifact. So, create HelloWorld directory inside temporary directory.
path_HelloWorld = Path(change_test_dir).joinpath("HelloWorld")
component_name = "com.example.PythonHelloWorld"
region = "us-east-1"
bucket = "gdk-cli-uat"
author = "gdk-cli-uat"
# Check if init downloads templates with necessary files.
check_init_template = gdk_cli.run(["component", "init", "-t", "HelloWorld", "-l", "python", "-n", "HelloWorld"])
assert check_init_template.returncode == 0
assert Path(path_HelloWorld).joinpath("recipe.yaml").resolve().exists()
config_file = Path(path_HelloWorld).joinpath("gdk-config.json").resolve()
assert config_file.exists()
# Update gdk-config file mandatory field like region.
t_utils.update_config(config_file, component_name, region, bucket, author)
os.chdir(path_HelloWorld)
# Pass in bucket name as arg
bucket_arg = "{}-{}-{}".format(bucket, region, t_utils.get_acc_num(region))
check_publish_component = gdk_cli.run(["component", "publish", "-b", bucket_arg])
assert check_publish_component.returncode == 0
assert Path(path_HelloWorld).joinpath("zip-build").resolve().exists()
assert Path(path_HelloWorld).joinpath("greengrass-build").resolve().exists()
artifact_path = (
Path(path_HelloWorld)
.joinpath("greengrass-build")
.joinpath("artifacts")
.joinpath(component_name)
.joinpath("NEXT_PATCH")
.joinpath("HelloWorld.zip")
.resolve()
)
assert artifact_path.exists()
recipes_path = Path(path_HelloWorld).joinpath("greengrass-build").joinpath("recipes").resolve()
t_utils.clean_up_aws_resources(component_name, t_utils.get_version_created(recipes_path, component_name), region)
| 45.658537 | 117 | 0.719284 | 458 | 3,744 | 5.635371 | 0.19214 | 0.086788 | 0.083688 | 0.120883 | 0.885316 | 0.875242 | 0.850058 | 0.850058 | 0.811313 | 0.811313 | 0 | 0.002206 | 0.152511 | 3,744 | 81 | 118 | 46.222222 | 0.81122 | 0.113782 | 0 | 0.8125 | 0 | 0 | 0.160121 | 0.016918 | 0 | 0 | 0 | 0 | 0.234375 | 1 | 0.03125 | false | 0 | 0.046875 | 0 | 0.078125 | 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 |
3d92e2e60de42cb7895996984094142ed58ff430 | 169 | py | Python | icepyx/__init__.py | zachghiaccio/icepyx | 4bf75bd94d8b8db15dc8a0ebf14d1ff0966c3f3a | [
"BSD-3-Clause"
] | 4 | 2019-06-21T16:46:35.000Z | 2019-10-24T20:34:09.000Z | icepyx/__init__.py | zachghiaccio/icepyx | 4bf75bd94d8b8db15dc8a0ebf14d1ff0966c3f3a | [
"BSD-3-Clause"
] | 2 | 2019-06-21T00:04:36.000Z | 2019-06-21T00:09:51.000Z | icepyx/__init__.py | zachghiaccio/icepyx | 4bf75bd94d8b8db15dc8a0ebf14d1ff0966c3f3a | [
"BSD-3-Clause"
] | 3 | 2019-06-21T18:43:08.000Z | 2019-10-11T14:46:34.000Z | from icepyx.core.query import Query, GenQuery
from icepyx.core.read import Read
from icepyx.quest.quest import Quest
from _icepyx_version import version as __version__
| 28.166667 | 50 | 0.840237 | 26 | 169 | 5.230769 | 0.384615 | 0.294118 | 0.205882 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.118343 | 169 | 5 | 51 | 33.8 | 0.912752 | 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 |
3da102010a73483b4aeeb5775f65e7485c9ac263 | 194 | py | Python | StockPro/users/models.py | bhavy0949/Stock-Mark-It | df38eb99e3a39ce81abc4ad7dad222843d8cdeda | [
"MIT"
] | null | null | null | StockPro/users/models.py | bhavy0949/Stock-Mark-It | df38eb99e3a39ce81abc4ad7dad222843d8cdeda | [
"MIT"
] | null | null | null | StockPro/users/models.py | bhavy0949/Stock-Mark-It | df38eb99e3a39ce81abc4ad7dad222843d8cdeda | [
"MIT"
] | null | null | null | from django.db import models
# Create your models here.
class User(models.Model):
username = models.CharField(max_length=50, unique=True)
password = models.CharField(max_length=50)
| 27.714286 | 59 | 0.742268 | 27 | 194 | 5.259259 | 0.703704 | 0.211268 | 0.253521 | 0.338028 | 0.366197 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02454 | 0.159794 | 194 | 7 | 60 | 27.714286 | 0.846626 | 0.123711 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.25 | 0.25 | 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 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 7 |
3db21be0c50cd1ce03ece9e46c7b8f61d94959c5 | 215 | py | Python | privugger/__init__.py | itu-square/reident | a9f2a2cfb43ea0adeccbbed7ef119f5eae243bf5 | [
"Apache-2.0"
] | 2 | 2021-12-10T13:45:37.000Z | 2021-12-15T08:32:01.000Z | privugger/__init__.py | itu-square/reident | a9f2a2cfb43ea0adeccbbed7ef119f5eae243bf5 | [
"Apache-2.0"
] | 39 | 2021-03-24T10:08:50.000Z | 2022-03-29T22:02:24.000Z | privugger/__init__.py | itu-square/privugger | 9b57605dbd1ed072feaedc17ca0cd688dbf2459a | [
"Apache-2.0"
] | null | null | null | """
The privugger package
"""
from privugger.transformer import *
from privugger.measures import *
from privugger.inference import *
from privugger.distributions import *
from privugger.data_structures import *
| 21.5 | 40 | 0.790698 | 24 | 215 | 7.041667 | 0.458333 | 0.384615 | 0.449704 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.134884 | 215 | 9 | 41 | 23.888889 | 0.908602 | 0.097674 | 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 |
3ddc0f26bcd055900edc40e9d3c6cca19bd5376e | 39,134 | py | Python | text2topics/phrases.py | jerielizabeth/text2topics | d7691ce730d9f447de2fcbcd2c81ead99c50ce74 | [
"MIT"
] | 1 | 2018-04-09T12:25:05.000Z | 2018-04-09T12:25:05.000Z | GoH/preprocess.py | jerielizabeth/GoH | 7c16eac86d76525170330924348cecccce3aa5cf | [
"MIT"
] | null | null | null | GoH/preprocess.py | jerielizabeth/GoH | 7c16eac86d76525170330924348cecccce3aa5cf | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
ENTITIES = """human system; moral obligation; true faith; wisdom of god; poor man; religious faith; new impetus; general conference association; utmost importance; rural districts; thy work; valuable help; anglo saxon; new ones; spiritual strength; whole family; great plan; greek word; future state; man cometh; religious worship; sixteenth century; physical health; religious exercises; valuable information; strong men; sunday question; endless life; drug store; new work; thou canst; northern part; san diego; missionary nurses; lords work; scarlet fever; big week; spirit of truth; text books; school secretary; night cometh; electric lights; such occasions; friends and neighbors; thy voice; mission work; white raiment; sabbath question; thee lord; gold coast; dark ages; eternal death; various phases; sacred things; farm work; old men; small quantities; great variety; solemn warning; living water; word of life; seventhday adventist church; heavenly places; people of god; gods law; important truths; great fact; true christian; own lusts; young man; new territory; religious legislation; intelligent people; divine power; roman catholics; south bend; new subscribers; sons and daughters; own name; chosen people; usual committees; walla walla; entire time; such means; whole life; resurrection of christ; whole church; free use; asia minor; alcoholic liquors; rest unto; old woman; columbia union conference; young woman; southern union; spirit of prophecy; little book; thy seed; gods judgment; sample copies; infinite power; joint heirs; evening meeting; christian workers; sons of god; pure water; individual work; worthy poor; fine gold; great event; new believers; great expense; common schools; new testament; human race; plan of redemption; living sacrifice; mary magdalene; religious persecution; sunday laws; poor souls; forty days; great thing; equal rights; great success; heathen nations; the church officers gazette; new york city; tithes and offerings; denominational literature; animal food; bishop of rome; thy truth thy; house of prayer; spiritual gifts; tent work; final judgment; uric acid; educational institutions; finger of god; such work; wedding garment; wonderful things; civil law; great desire; goon health; harvest field; religious services; early part; intermediate school; jewish sabbath; health journal; first love; subscription price; teachings of christ; return home; law of sin; eternal truth; youths instructor; educational work; commandment of god; tenth day; real estate; foreign countries; prophet daniel; whole nation; great extent; small portion; old time; recent years; sabbath observance; spirit of sacrifice; white flour; thy word; nurses course; mercies of god; southwestern union; religious questions; religious observance; good ground; turkish empire; glory to god; river conference; gods work; hinsdale ill; practical application; last sickness; special efforts; temple of god; day life; physical condition; wages of sin; entire population; annual meeting; fundamental principle; opportune time; rich men; daily news; own schools; heavy burdens; throne of grace; important work; gratitude to god; ark of the covenant; tracts and papers; old world; efficient workers; different churches; forty miles; southwestern union conference; red cross; christian faith; future work; different lines; whole heaven; nutritive value; large portion; children and youth; such power; own way; church buildings; the advocate; principles of truth; sea level; sacred scriptures; postage stamps; great value; central part; church property; public places; early writings; county seat; northern union conference; boat rescue; large numbers; powers of darkness; fellow men; new place; christian work; religious duties; pure in heart; christian statesman; unanimous vote; present membership; national religion; general conference bulletin; pacific union recorder; declaration of independence; religious rights; great harvest field; church history; important matters; state church; statute books; heavenly father; old man; whole story; ingathering signs; mighty hand; right spirit; true whatsoever things; copies value; school farm; strong effort; emperor william; rapid growth; sixteen years; pure air; mountain side; small company; great field; college place; spare time; begotten son; eternal world; gospel dispensation; such instruction; book of revelation; pure whatsoever things; large tent; large degree; life work; such questions; sabbathschool department; good effect; seventy years; beautiful city; own family; serious consideration; loma linda; true tabernacle; school house; lord and master; grace of god; bible teacher; fair attendance; college press mount; common law; new light; vegetarian meat; false doctrines; holy spirit; credentials and licenses; carnal mind; whole world; opening exercises; special manner; health reformer; treatment rooms; whole man; past life; business man; human rights; power of christ; prophetic word; mighty works; lord thy; prominent part; true christianity; year round; christian duty; excellent success; wrong habits; new covenant; gods servants; shalt thou; great encouragement; moral nature; early church; columbia union visitor; mission house; advent of christ; own hearts; sabbath march; long list; man of sin; present condition; large church; tobacco habit; martin luther; burnt offering; prayer meetings; self indulgence; land of egypt; blessed of god; gold edges; encouraging reports; field agent; religious people; corner stones; religious belief; special interest; dead men; years experience; such legislation; other languages; sanitarium cooking; thank god; certain conditions; evil ways; young persons; promised land; sunday law; such laws; san francisco; threefold message; good advantage; physical culture; first angels message; days work; christ god; thy foot; various kinds; holy ghost; honest man; john wesley; love to god; immortal soul; medical science; self denial; such experiences; laws of health; such people; beautiful grove; important truth; dear souls; great earthquake; general conference daily bulletin; own salvation; christian service; love the lord; missionary operations; verily verily; missionary societies; great truths; man of god; lord delayeth; own hands; perfect obedience; name of god; whole day; school lessons; god almighty; many mansions; own weakness; medical school; liquor traffic; lord help us; latter rain; moral sense; women and children; dark night; firm believer; gods spirit; temperance instructor; special reference; remnant people; united states of america; hot water; cross of christ; advent review and sabbath herald vol; infant baptism; association battle; medical profession; southern field; short period; life eternal; manual labor; trust in god; whole earth; sabbatic institution; own sake; righteousness of god; civil power; the review and herald; general work; whole system; faithful servants; considerable time; long journey; sabbath reform; signs magazine; private houses; holy city; large sums; great work; own lives; supreme law; young lady; kept the sabbath; church and state; college press; american republic; full attendance; strange thing; conference session; solemn message; christs second coming; proper observance; favorable time; essential part; sunday morning; local conferences; good judgment; personal saviour; keep the sabbath; sinful flesh; mortal man; warm water; great commission; prince of peace; pacific ocean; whole city; general meetings; good reading; poor soul; human being; message of salvation; good books; fathers and mothers; great man; dead man; christian temperance; home circle; dark place; intense interest; american brethren; huntsville ala; earthly things; due season; city work; conference bulletin; outside world; cold water; nervous system; faithful ones; twentieth century; white cloud; such persons; recent meeting; revised version; holy word; year book; street cars; old and young; glad day; review and herald takoma; etc etc; own souls; mission field; prophecy of daniel; high priest; strong desire; heavy laden; good things; considerable attention; important subject; faith in jesus; money orders; word of truth; medical work; great words; religious teachers; good beginning; good plan; great salvation; thy kingdom; gods plan; wise pass; new courage; present truth; large measure; day of god; average attendance; light shine; christian church; large quantity; good works; nashville tenn; christian era; olive tree; good care; public health; moral darkness; greek church; name of jesus; national life; washington post; such books; small part; absolute necessity; good company; temperance association; open air; faithful work; congregational church; ancient israel; half a dozen; college view; primitive church; book work; boys and girls; fulfillment of prophecy; american government; god of israel; sure foundation; great signs; chief priests; sabbath october; district of columbia; old dispensation; abraham lincoln; true education; whole truth; lake union herald; god rev; divine institution; summer months; saviour jesus christ; urgent calls; gods commandments; practical guide; conference committee; great mistake; thy house; great glory; paradise valley; fiscal year; evil habits; general health; public sentiment; los angeles cal; electric light; old friends; tract society; evil effects; lord willing; dear sister; great pleasure; german work; circle of friends; rochester n y ; public school system; early date; native land; earnest desire; total abstinence; camp ground; self righteousness; needy fields; whole year; own work; educational secretary; good courage; book contains; health and strength; good number; hard work; church membership; salvation army; spare moments; wise men; evil spirit; own judgment; white house; season of prayer; political power; whole armor; colporteur work; important matter; special sense; final triumph; blue eyes; great part; good way; advent movement; human nature; hearts of men; the youth; professed christians; seeds of truth; churches of christ; review herald; great responsibility; practical experience; thy truth thy word; lord spake; true temperance; various conferences; sodom and gomorrah; present war; thou bast; presbyterian church; own selves; good shepherd; important part; small things; own power; narrow way; power of god; gilt edges; the life boat; venerable day; washington sanitarium; common use; great care; flesh food; royal law; blood vessels; prophetic periods; real meaning; good place; new creation; nature of man; foreign languages; great events; the american sentinel; american citizen; great body; consistent christian; mount of olives; mission funds; practical instruction; christian citizenship; good work; work of christ; national reform; general public; great joy; buenos ayres; student body; great benefit; new law; christian principles; good experiences; work of grace; appointed time; encouraging words; christian science; herald takoma; public services; new thing; church building; considerable interest; church school work; good thing; precious faith; local conference; sunday observance; own strength; church of rome; dear ones; spirit of god; strong man; great movement; whole number; good health; full amount; rapids mich; financial support; social life; religious convictions; important events; bad habit; union college; good progress; good name; alimentary canal; german church; sleeps in jesus; life and health; class work; divine authority; department of education; post office; gospel ministry; divine plan; long run; advent review; worship of god; small children; papal church; great amount; past history; real interest; tent companies; precious seed; morning watch calendar; missionary purposes; eternal purpose; lord cometh; needy field; inch thick; new heavens; civil liberty; keeping the sabbath; dead in christ; active work; way home; jesus christ; great sufferer; medical missionary work; the lords day; religious service; week fund; sample copy; christian nations; old things; home missionary; religious bodies; battle creek sanitarium; evening service; saints of god; prosperous condition; strong arm; secret prayer; our heavenly father; glad tidings; large field; keeping the commandments; midnight cry; sufficient reason; thou shouldest; financial condition; thy father; such places; religious laws; ingathering campaign; god in christ; public opinion; effective work; bible doctrine; full report; senate committee; thou good; young girls; religious duty; the sentinel; sum total; old friend; god rom; outside attendance; holy law; new day; poor health; dear friends; dark places; excellent interest; false teachers; religious test; rural health; special effort; total membership; porto rico; good time; york sun; great demand; practical value; utmost capacity; partial report; entire year; gross darkness; american medical association; years past; missionary work; promise of god; precious truth; certain extent; thy people; ancient sabbath; mercy of god; certain day; united states; babylon is fallen; christian age; methodist minister; various lines; health food; los angeles; conference president; good condition; european war; early age; moral power; time past; seventhday adventist; church school teachers; spiritual blessings; true spirit; lancaster mass; fall of babylon; possible way; urgent call; patent medicines; important questions; foreign fields; own heart; great sin; special arrangement; health foods; prominent men; great light; different phases; temporal millennium; annual report; different times; accompany copy; spiritual life; temperance question; pacific health journal; peace and joy; wonderful work; natural heart; peculiar people; additional word; missionary labor; warning message; upper part; blood of jesus; secular history; own image; different languages; thy hand; sin unto salvation; lords supper; north american division; great city; vegetarian diet; old people; excellent meeting; new year; profitable meeting; school life; faithful workers; christian home; mind and body; subscription list; object lesson; plan of salvation; general assembly; gods word; annual session; fellow man; good news; asleep in jesus; character building; new school; great sacrifice; spiritual condition; authorized version; little company; old testament; christian life; self control; good interest; assistant secretary; fundamental law; law of moses; sanitarium work; physical development; past years; different places; seventh angel; human flesh; colored people; fiery furnace; mission offerings; large percentage; such cases; beautiful things; present conditions; adventist faith; general agent; mission station; evening services; earnest prayers; youth and children; battle creek michigan; advent review and sabbath herald; wide circulation; fruit trees; conference secretary; wrath of god; wonderful works; bread of life; glorious appearing; angel of the lord; business meeting; harvest time; digestive organs; divine law; name of christ; good words; low price; thy lord; white man; battle creek; sinful man; eighty years; double boiler; own sins; long beach; definite day; evil doers; new moon; large number; new religion; church school; health institute; thorough knowledge; important points; certain things; civil government; work thou; daily life; home journal; infinite wisdom; small quantity; good tidings; various departments; large part; roger williams; life boats; young person; lay members; conference office; full force; gift of god; creative power; fellow workers; particular day; free gift; excellent book; great importance; child of god; abdominal muscles; good education; great multitude; christian nation; temperance reform; charge thee; kingdom of god; church fellowship; good government; school year; object lessons; annual conference; dear people; school room; great controversy; battle creek college; lake union; express purpose; state agent; due time; earnest efforts; important thing; english language; sick room; long period; love thy neighbor; christian world; inspiration of god; true condition; general secretary; wrong course; open the door; city of god; proper way; business notices; own eyes; young friends; various places; saith unto; new church building; rainy season; successful work; firm stand; good man; recent letter; book of daniel; lord of hosts; missionary workers; adventist publishing; uriah smith; similar work; divine command; whole people; march acceptance; good success; such time; summer vacation; religious liberty work; whatsoever things; beloved disciple; page sheet; mission school; great purpose; eastern part; peace with god; church member; flesh meats; great men; entire field; whole body; jesus rev; followers of christ; early life; large circle; bible sabbath; mass meeting; desire of ages; subscription books; young men; simple faith; christ our lord; high places; lord hath; truth of god; large congregation; normal condition; command of god; different ways; practical way; pacific union college; vernon ohio; great power; faith in christ; school association; industrial school; large increase; canvassers institute; mighty men; various reasons; good seed; love of jesus; good impression; own country; camp meetings; tract societies; state tract society; sabbath law; important branch; fierce anger; present generation; seventy weeks; sabbath june; actual experience; blind man; new members; full particulars; the review and herald vol; great difficulty; various churches; hearty cooperation; great crisis; personal experience; night meetings; school board; professors of religion; long distances; year cents; fig tree; des moines; life and death; law of liberty; key note; eternal life; whole question; such teaching; perfect man; vital importance; creation week; funeral service; law till; peace of god; holy angels; third angel; thy name; great advantage; living faith; publishing company; great world; human law; moral government; holy men; vital organs; california nevada; judgments of god; jewish church; small books; ancient times; thy ways; pacific union; foreign lands; home and health; present hour; general conference committee; ice cream; western part; king of kings; open doors; ceremonial law; hard times; pacific press; north american division conference; carnal heart; saloon keepers; common branches; animal life; better life; rich man; personal labor; oakland cal; days perilous times; power thereof; house of israel; certain number; active service; school lesson; great war; school building; excellent spirit; public worship; seventhday baptists; worth living; temperance society; david paulson; local societies; annual offering; year numbers; thine heart; aggressive work; civil authority; young children; union mission; past ages; large attendance; time of trouble; human agent; seed sown; office address; light and truth; hereby express; systematic benevolence; principles of health; old gentleman; spake often; pure heart; tent efforts; new workers; baptismal service; vernon ohio price cents; dry land; important question; good people; efficient work; conference laborers; spirit of love; sunday school; graysville tenn; religious meetings; foreign mission work; good attendance; may god; service of god; missionary secretary; denominational schools; personal letter; such matters; life of christ; fourth commandment; sabbath school; free distribution; bible training; different parts; reform association; physical strength; full quota; holy mountain; military service; adventist minister; small town; perilous times; spiritual food; own children; different denominations; church of christ; church work; good order; life liberty; good meeting; river academy; immortal life; certain amount; sixty years; corner stone; great commandment; definite time; michigan tract; good attention; canadian union conference; school donations; important place; home life; valuable assistance; intermediate schools; righteous dead; thick darkness; high standard; own people; wicked world; new heart; such men; god christ; special message; circuit court; new church; earnest prayer; school teachers; private letter; rio grande; christian association; park station; review and herald; such expressions; such meetings; great blessings; different points; lord bless; medical secretary; land of canaan; general government; great conflict; days meeting; american sentinel; praise to god; precious light; great principles; faithful servant; haskell home; reading courses; great apostasy; meeting house; own hand; glorious truth; church elders; deepest interest; european division; wholesome food; such action; thy cattle; heart disease; infallible word; patient continuance; ministry of healing; lord jesus; definite plans; glorious light; thy bread; general way; careful study; natural immortality; the home missionary; special help; commandments of god; gospel of peace; fervent heat; sabbath april; living god; entire meeting; public meetings; regular attendance; active interest; medical men; own tongue; heart and soul; large city; special rate; large circulation; industrial work; common people; catholic priest; christian educator; archbishop ireland; daily bread; personal god; gospel of christ; great struggle; gospel herald; human wisdom; cane sugar; scribes and pharisees; follower of christ; new earth; lord jesus christ; healthy condition; new experience; year printed; word of prophecy; spiritual growth; heathen lands; real life; lord your god; state secretary; human family; right direction; proper time; christian religion; church officers; creek michigan; religious instruction; vice president; good reason; thorough preparation; church services; books and papers; destroy the law; business meetings; business manager; information address; christian liberty; division conference; careful examination; people everywhere; excellent meetings; day school; different departments; fundamental principles; divine lord; white robes; various branches; general plan; clear light; dear friend; small sum; new man; grand total; ill health; baptist minister; good home; great question; own character; god john; such things; daily papers; own church; field work; gospel truth; almighty god; own words; santa rosa; self exaltation; s d a; home department; splendid work; great white throne; poor people; tent season; sabbath meetings; lake of fire; house of representatives; portland oregon; weight of glory; rich blessings; such conditions; short time; foreign missions; sixty miles; adventist church; unto thee; modern times; eastern question; missionary meetings; general interest; moral law; great king; personal effort; good use; old covenant; times past; rest day; such thing; william miller; thou hast; great problem; trump of god; spake unto; evil angels; wonderful thing; copies cents; long distance; resurrection morning; human body; simple treatments; good girl; harvest of souls; state meeting; persons desire; marriage supper; great influence; eternal ages; lovely whatsoever things; wild beasts; ten commandments; happy home; salt lake city; great service; crown or righteousness; god who; divine revelation; good deeds; perfect day; thy way; life giver; unto salvation; own homes; natural law; things whatsoever; great voice; wilt thou; large company; leo xiii; spiritual interests; tent company; committee on nominations; church organization; man sin; missionary endeavor; divine being; bro and sr; full time; good meetings; church members; general principles; full information; present time; wide spread; american people; kingdom of christ; sabbath sunday; blood of christ; post offices; creek sanitarium; careful reading; grand jury; laws of god; heavenly sanctuary; lord our god; great price; united in marriage; true meaning; labor unions; brother and sister; christian churches; lords day; practical work; great battle; precious truths; proper care; mercy seat; different countries; reading room; outward appearance; thy soul; hard time; constitutional amendment; children of men; upper columbia; earthly sanctuary; human laws; past week; healthful living; second advent; law of god; disease germs; own voice; place of worship; new name; flesh and blood; god cor; treasure in heaven; great things; spiritual nature; red sea; uttermost parts; missionary society; new converts; general attendance; small pox; general articles; evening meetings; battle creek mich; poor woman; tacoma park station; religious freedom; annual camp meeting; people need; fellow beings; eternal weight; preach the gospel; gospel message; special study; special attention; large family; new edition; precious time; man worship; the advent review and sabbath herald vol; right time; garden of eden; educational society; bro andrews; world war; john the baptist; sinful men; early years; loud voice; house of god; late years; net gain; board of directors; good pleasure; own day; true religion; protestant churches; second coming; self respect; great burden; whole heart; benevolent association; instructor vol; dollars worth; thy law; brothers and sisters; earnest effort; christian union; angels of god; direct result; school buildings; excessive use; civil war; eternal interests; whole law; old age; own soul; seventhday adventists; conference work; throne of god; school officers; responsible positions; own son; roman catholic; adam and eve; bible study; evil men; glorious work; yellow fever; pacific union conference; adventist publishing association; state board; own home; olive oil; spiritual power; religious liberty; civil governments; profession of religion; good manners; sabbath december; city council; christ christ; large majority; thy stranger; favorable conditions; advent faith; vantage ground; cottage meetings; faith in god; prayer meeting; southeastern union conference; previous year; royal family; thine hand; warm weather; active part; divine nature; new wine; god of heaven; sun moon; new era; educational department; certain man; thy pleasure; hard labor; new address; civil authorities; faithful member; methodist episcopal; own works; general meeting; great truth; southern union conference; weekly visits; self government; coming of Christ; american citizens; observing the sabbath; own house; reserve fund; long time; mount zion; word of god; new book; disciples of christ; favorable opportunity; children of god; proper place; natural rights; religious matters; sufficient number; various ways; the moral law; flesh foods; false gods; alcoholic beverages; liberty of conscience; jesus rev vol; great nation; burnt offerings; god himself; family worship; own glory; thy heart; art thou; extra postage; jesus of nazareth; local church; most holy place; catholic church; left hand; bible lessons; right kind; father and mother; good fight; chicago ill; denominational work; new field; gods requirements; hot weather; lords house; armor of god; union conference committee; white people; thou wilt; internal organs; our first parents; salvation of souls; students library; great apostle; high position; own mind; church schools; sunday sabbath; holy name; great nations; seventhday baptist; certain class; way to truth; opposite side; young ladies; special instruction; present life; books and tracts; special course; remission of sins; good reasons; mission stations; present age; religious work; conference workers; children of israel; christian experience; business matters; missionary meeting; great mass; noble work; house work; family circle; thy mother; christian love; early morning; divine truth; post office address; proper use; own pleasure; breath of life; gods love; precious souls; social meeting; saith the lord; good night; great difference; own use; school convention; sun shines; special care; total number; conference tract society; own conscience; state conference; small amount; native workers; conscience sake; born of god; bad habits; foreign work; full assurance; papal supremacy; high school; the spirit of the lord; righteous judge; twohorned beast; easy matter; small church; judgment seat; human hearts; lord calls; great cities; god jesus; late clean copies; vegetable kingdom; own interests; words of truth; real value; public press; food elements; long years; wait till; present position; large cities; russian government; bible readings; lemon juice; tract society secretary; long life; southern union worker; human mind; religious sentiment; health principles; conference treasurer; missionary spirit; day wherefore; large quantities; tent meetings; sin offering; loud cry; large books; divine origin; religious institution; atlantic union conference; voice of god; personal work; heathen world; battle field; young women; civil affairs; great majority; medical college; religious character; praise god; moral code; secret place; just and good; reading matter; forgiveness of sins; thy mind; short distance; cold weather; great danger; signs and wonders; sunday legislation; whole thing; rich harvest; good results; right arm; important meeting; seventh trumpet; means of grace; the health reformer; quiet spirit; gods grace; false prophet; church people; such words; good day; morning watch; earnest appeal; whole matter; precious season; methodist church; dead body; school offerings; scattered brethren; body of christ; works of god; eye salve; good advice; certain time; past year; own language; open door; prime minister; hearty response; considerable number; present season; thy brother; special rates; san jose; college course; meeting the; true character; worlds fair; great need; grace of christ; thy children; recent number; clouds of heaven; great number; righteousness of christ; valuable instruction; great reason; great army; square miles; right living; lord desires; christian education; great victory; workers meeting; meet the lord; interesting experiences; unto men; sufficient amount; dwell therein; medo persia; good morning; god god; sabbath truth; father in heaven; large audience; goodness of god; short visit; young people; small voice; human soul; important factor; junior college; past experience; lay plans; family tents; religious intolerance; perfect law; book of life; gastric juice; chain gang; christian worker; vast majority; thou knowest; large sum; deep interest; right place; especial attention; separate sheet; small number; encouraging report; general conference; regular meetings; mission schools; long experience; own land; interesting facts; whole land; right side; good fruit; sure word; national reformers; brethren and sisters; physical and mental; great loss; popular churches; interesting account; lords sabbath; christian school; own blood; good faith; divine grace; british government; justification by faith; secret societies; present state; divine life; medical department; thorough work; words of christ; honest whatsoever things; long way; various parts; sick people; thou mayest; christian character; various forms; general rule; great object; special meetings; text book; great numbers; joseph bates; end of time; remnant church; spiritual things; eternal salvation; sudden death; conference association; seventhday sabbath; sons of men; special prayer; whole country; ancient of days; dead bodies; favorable circumstances; men of god; poor widow; sin and death; family altar; james white; grand work; thou shalt; scriptures of truth; jewish nation; splendid opportunity; human history; vast amount; regular work; man hath; future life; neighbors and friends; fellow citizens; onward march; medical students; right way; early history; seventh month; christ jesus; county jail; marvelous light; mystery of god; sabbath july; honest souls; foreign mission board; camp meeting; character of god; entire body; great day; perfect peace; tribes of israel; seal of god; own experience; saloon keeper; court house; thy neighbor; honest hearts; faithful service; perfect health; washington d c; only begotten son; fear not; small beginning; evangelistic work; lake union conference; such times; roman empire; own life; near future; good reports; gods truth; new jerusalem; bright hope; different ones; great message; memory verse; biennial session; teachers and students; old home; good report; personal interest; medical mission; business men; tent meeting; sight of god; thine eyes; great interest; church paper; day of atonement; unto death; fellow laborers; good opportunity; own body; gospel work; lake academy; efficient service; gospel of jesus; foreign missionaries; wide field; young girl; death of christ; patriarchs and prophets; baptist church; counsel of god; opposite direction; great image; different kinds; return unto; american federation; manual training; sick man; man soweth; entire family; honor and glory; christian dispensation; episcopal church; good word; roman catholic church; prophetic period; eternal god; precious stones; investigative judgment; outside interest; divine word; old year; early days; theseventhday adventist; sabbath may; last illness; dear children; medical missionary; state legislature; things work; proper food; beautiful home; protestant magazine; commandment keepers; good authority; self sacrifice; alcoholic drinks; human heart; modern spiritualism; southern part; large proportion; right principles; cold air; strong faith; death rate; civil laws; training schools; grow in grace; medical missionaries; christian man; thy gates; large extent; own business; christian graces; new house; great effort; new birth; training school; thy life; divine service; good food; good help; good citizens; religious views; life boat; public mind; good example; dear reader; school children; pacific coast; new order; large class; medical journal; evangelical work; good wages; sound doctrine; human beings; hymn book; special terms; new creature; church of england; typhoid fever; souls of men; inalienable rights; great source; strong drink; conference year; address cts; pure gold; dear brethren; twelve tribes; whole time; book sales; state religion; prominent place; important point; winter months; christs death; sabbath herald; sufficient evidence; father mother; individual members; denominational publications; inhabitants thereof; utter destruction; main building; church service; abraham isaac; federal council; past summer; years afterward; religious world; spirit of christ; new churches; holy place; lively interest; modern science; new home; thy mouth; such circumstances; own finger; roman power; day of pentecost; condition of man; sabbathschool association; true sense; year post; society secretary; glory of god; general use; evil work; lamb of god; health reform; past quarter; current events; recent issue; the columbia union visitor; missionary efforts; true principles; religious things; past season; kind word; kind words; religious life; social meetings; excellent results; living word; lord draweth nigh; holy scriptures; true light; roman church; bible history; foreign mission; precious blood; cleveland ohio; national government; kingdom of heaven; expiration date; sabbath days; different branches; holy sabbath; promises of god; great privilege; great increase; future time; personal liberty; present century; knowledge of god; fire and brimstone; funeral services; room house; health work; natural result; subject matter; great degree; dear lord; lord lord; good influence; golden rule; public school; foreign field; hinsdale sanitarium; the gospel herald; new fields; moon and stars; gods power; president wilson; thou art; federal government; urgent need; vice versa; central union conference; papal power; private house; war department; distant lands; tent effort; dark continent; creek mich; great help; cold bath; great measure; contains pages; great heart; the second coming; familiar spirits; biennial period; son of man; tract society office; thy son; great tribulation; school department; wide awake; whole subject; excellent opportunity; dear son; physical rest; modern civilization; past month; old story; fear god; advent message; voice from heaven; under the law; shalt thou labor; good spirit; supreme court; educational system; own righteousness; thoughts perish; third angels; recent visit; man woman; rapid progress; best stories; small boy; present world; new subscriptions; apostolic church; present day; wise man; angels message; sabbath february; ample time; church school teacher; good service; english bible; new life; mission board; redemption draweth nigh; morning service; servant of god; holy spirits; fasting and prayer; great principle; whole duty; evil spirits; old lady; eld haskell; years months; human power; past winter; temporal power; meek and lowly; moral character; good conscience; special work; capital city; whole congregation; lord of lords; mission fields; good book; christian schools; temperance work; king of babylon; bay city; excellent work; boston mass; uncle sam; blosser berrien; good boy; divine appointment; white men; class matter; religious teaching; bottomless pit; principles of religion; god the father; presence of god; lord bath; purpose of god; universal peace; good degree; human authority; own ways; summer school; suitable place; new world; final conflict; fathers house; fresh air; southern junior college; good paper; street church; french revolution; powerful influence; bible footlights; money order; believe in god; saviour jesus; third angels message; jewish people; seed of abraham; eighteenth century; national constitution; first session; allen moon; present year; good cheer; latter days; such schools; universal postal; earth pass; own time; wrong side; good foundation; dear brother; school work; new song; union conferences; mucous membrane; deep impression; cape town; way of salvation; thy strength; gift of prophecy; mighty work; own self; mighty power; whole field; heavy burden; religious experience; dark day; good sense; members reports; right hand; nineteenth century; true church; regular price; high time; new building; fellow creatures; good men; common sense; day offerings; large share; street car; careful consideration; special meeting; servants of god; church of god; previous meeting; men women; conference officers; moral courage; missionary effort; christian people; willing souls; right thing; false prophets; hearty support; european countries; field secretary; careful attention; whosoever believeth; george washington; hast thou; christian sabbath; christian men; joys and sorrows; whole being; large amount; special number; forty years; communion with god; early christians; advent review and gospel herald; protestant church; beloved son; little folks; second death; old earth; perfect harmony; and temperance advocate; cubic feet; love of god; law of nature; north pacific union conference; particulars address; earnest work; school teacher; public schools; present situation; religious observances; union conference; joy and peace; human life; great blessing; self evident; executive committee; spiritual welfare"""
ENTITIES = frozenset(w for w in ENTITIES.split('; ') if w)
| 6,522.333333 | 39,048 | 0.797951 | 5,390 | 39,134 | 5.793506 | 0.272171 | 0.009607 | 0.001921 | 0.002114 | 0.002882 | 0.001985 | 0 | 0 | 0 | 0 | 0 | 0.00003 | 0.137885 | 39,134 | 5 | 39,049 | 7,826.8 | 0.925544 | 0.000537 | 0 | 0 | 0 | 0.5 | 0.998006 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.5 | 0.5 | 0 | 0.5 | 0.5 | 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 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 8 |
9a7cc32956b11c74cd4899f5b3439dd0f3d304a2 | 14,638 | py | Python | app.py | DSCVITBHOPAL/Sampark-Web-Extension | d4f7e1fc4bc1ee00e7101b15f107f378c7af5dca | [
"MIT"
] | 5 | 2021-01-13T06:06:34.000Z | 2021-11-15T11:15:04.000Z | app.py | Itsaadarsh/Sampark-Web-Extension | d4f7e1fc4bc1ee00e7101b15f107f378c7af5dca | [
"MIT"
] | 5 | 2021-01-12T09:18:28.000Z | 2021-01-14T21:48:07.000Z | app.py | Itsaadarsh/Sampark-Web-Extension | d4f7e1fc4bc1ee00e7101b15f107f378c7af5dca | [
"MIT"
] | 7 | 2021-01-12T09:22:31.000Z | 2021-02-12T11:55:30.000Z | import os
from os import system as sys
from socket import socket
import idna
from flask import Flask, request, redirect, render_template, jsonify
from backend import vtscan, certcheck, httpscheck,checkReditect,checkTrustedCert
import config
app = Flask(__name__)
app.secret_key = "secret key";
app.config['MAX_CONTENT_LENGTH'] = 350 * 1024 * 1024;
vtscan_bool=False
if config.VTAPIKEY == "YOU_NEED_TO_ENTER_YOUR_API_KEY_HERE_FOR_VIRUSTOTAL_SCAN_TO_WORK":
vtscan_bool=False
else:
vtscan_bool=True
@app.route('/')
def rootdir():
# sys("rm ./templates/result.html")
# return 'test'
# return render_template('main.html')
data="SAMPARK API"
return data
@app.route('/inbuilt')
def alternate():
sys("rm ./templates/result.html")
return render_template('main.html')
@app.route('/legacyport', methods=['POST'])
def legacy():
global urlts
urlts=""
if request.method == 'POST':
# check if the post request has the file part
if 'urlts' not in request.values:
# flash('No file part')
return redirect(request.url)
url = request.values['urlts']
agent=""
if "@shell" in str(url):
agent="shell"
url=str(url)[:-6]
print(request.values['urlts'])
return legacy_processurl(url,agent)
@app.route('/scan', methods=['GET','POST'])
def urlrequest():
# global urlts
# urlts=""
if request.method == 'POST':
# check if the post request has the file part
if 'urlts' not in request.values:
return "MALFORMED Request"
url = request.values['urlts']
# agent=""
# if "@shell" in str(url):
# agent="shell"
# url=str(url)[:-6]
if url[len(url)-1]=='/':
url=url[0:len(url)-1]
print(request.values['urlts'])
data=processurl(url)
return jsonify(data)
if request.method == 'GET':
if 'urlts' not in request.values:
return "MALFORMED Request"
url = request.values['urlts']
if url[len(url)-1]=='/':
url=url[0:len(url)-1]
print(request.values['urlts'])
data=processurl(url)
return jsonify(data)
def processurl(urltsm):
urltsm=httpscheck.rmrf_protocol(urltsm)
#ASSUME NOT SAFE AS DEFAULT
ISWEBSITESAFE = False
CERTSCORE = "DANGER" # THIS WILL MAKE IT NOT SAFE BY DEFAULT
ISHTTPS="NO"
REDIRECTIONSCORE="NA"
REASON = {
'https': "The website uses HTTPS. It's needed to transmit data securely.",
'certtrust': "The certificate for encryption is not provided by trusted Certification Authority. An attacker can forge a certificate and decrypt the data from HTTPS over SSL, making HTTPS insecure.",
'malware': "This website is not reported for malicious scripts.",
'redir': "Redirection is how a website navigates the user to HTTPS even if they try to visit from HTTP on its own.",
'covred': "The website does not contain redirection code.",
'overall': "",
'webstat': "Website Available"
}
if vtscan_bool:
RESULT=vtscan.getResult(config.VTAPIKEY,urltsm)
MALWARESCORE = RESULT['positives']
TRIGGERS=[]
MALHITS=[]
if MALWARESCORE > 0:
REASON['overall']=REASON['overall']+" * MALWARE HIT"
REASON['malware']= "This website is reported to contain malicious scripts or tools, or it is created with malicious intent. BE CAUTIOUS. An adversary can take advantage and steal your data."
ISWEBSITESAFE= False
if MALWARESCORE > 0:
for i in RESULT['scans']:
if RESULT['scans'][i]['detected'] == True:
TRIGGERS.append(i)
MALHITS.append(RESULT['scans'][i]['result'])
else:
TRIGGERS=[]
MALHITS=[]
TRIGGERS.append("--")
MALHITS.append("--")
REASON['malware']="VirusTotal API key not used, skipping malware scan."
hostname_idna = idna.encode(urltsm)
sock = socket()
ERROR404=False
try:
sock.connect((hostname_idna, 80))
MARK =1
except Exception:
MARK=-1
if MARK > 0:
REDIRECTIONSCORE=checkReditect.scan(urltsm)
HTTPSBOOL = httpscheck.scan(urltsm)
HTTPSBOOL = HTTPSBOOL.split(';')
ISHTTPS = HTTPSBOOL[0]
if HTTPSBOOL[1] == 'SR':
REDIRECTSCHEME = "SOFT REDIRECTION TO HTTPS"
elif HTTPSBOOL[1] == 'HR':
REDIRECTSCHEME = "HARD REDIRECTION TO HTTPS"
else:
REDIRECTSCHEME = "NO REDIRECT"
### CHECKING RESULTS
# print("NO" in ISHTTPS)
if "NO" in ISHTTPS:
print("http hit")
REASON['https']="The website do not use HTTPS. It's needed to transmit data securely."
REASON['overall'] = REASON['overall'] + " * HTTP HIT"
ISWEBSITESAFE = False
if REDIRECTIONSCORE:
print("red hit")
REASON['overall'] = REASON['overall'] + " * COVERT REDIRECTION HIT"
REASON['covred'] = "The website contains redirection code. It can redirect to some other page without " \
"user consent. "
ISWEBSITESAFE= False
if "YES" in ISHTTPS:
print("cert check")
CERT = certcheck.getMainScan(urltsm)
CERT = CERT.split(';')
# CHECK TRUSTED CERTS
if checkTrustedCert.scan(CERT[4]) == True:
REASON['certtrust'] = "The certificate for encryption is provided by trusted Certification Authority."
CERTSCORE = "SAFE"
if "SAFE" not in CERTSCORE:
print("cert hit")
REASON['overall'] = REASON['overall'] + " * UNTRUSTED ENCRYPTION CERT"
REASON['certtrust'] = "The certificate for encryption is not provided by trusted Certification Authority. An attacker can forge a certificate and decrypt the data from HTTPS over SSL, making HTTPS insecure."
ISWEBSITESAFE = False
else:
ERROR404=True
REASON['webstat']="Website appears to be unreachable."
### COMPILING THE DATA IN A STRUCTURE
REDIRECTSCHEME="NA"
if ISWEBSITESAFE == True:
TRANRESULT="YES"
else:
TRANRESULT="NO"
WEBUS=urltsm
if vtscan_bool:
if MALWARESCORE > 0:
MALSR="UNSAFE"
TRIGGERS=str(TRIGGERS)
MALHITS=str(MALHITS)
else:
MALSR = "SAFE"
else:
MALSR="N/A"
if "NO" not in ISHTTPS:
HTTPSSCORE="YES"
REDIR=REDIRECTSCHEME
if CERT is not None:
CERT0=CERT[0]
CERT1 = CERT[1]
CERT2 = CERT[2]
CERT3 = str(CERT[3])
CERT4 = CERT[4]
CERT5 = CERT[5]
CERT6 = CERT[6]
else:
CERT0 = "NA"
CERT1 = "NA"
CERT2 = "NA"
CERT3 = "NA"
CERT4 = "NA"
CERT5 = "NA"
CERT6 = "NA"
if checkTrustedCert.scan(CERT[4]) == True:
CERTTRUST="YES"
else:
CERTTRUST = "NO"
else:
HTTPSSCORE = "NO"
REDIR = REDIRECTSCHEME
CERT0 = "NA"
CERT1 = "NA"
CERT2 = "NA"
CERT3 = "NA"
CERT4 = "NA"
CERT5 = "NA"
CERT6 = "NA"
CERTTRUST="NA"
if REDIRECTIONSCORE == True:
COVRED="YES"
else:
COVRED = "NO"
#if agent == "shell":
# return str(str(TRANRESULT)+";"+(WEBUS)+";"+(MALSR)+";"+str(TRIGGERS)+";"+str(MALHITS)+";"+HTTPSSCORE+";"+COVRED+";"+REDIR+";"+CERT0+";"+CERT1+";"+CERT2+";"+CERT3+";"+CERT4+";"+CERT5+";"+CERT6+";"+CERTTRUST+";"+str(ERROR404)+";"+str(REASON))
#return render_template('res.html',TRANRESULT=TRANRESULT,WEBUS=WEBUS,MALSR=MALSR,TRIGGERS=TRIGGERS,MALHITS=MALHITS,
# HTTPSSCORE=HTTPSSCORE,COVRED=COVRED,REDIR=REDIR,CERT0=CERT0,CERT1 = CERT1,CERT2 = CERT2,CERT3 = CERT3,CERT4 = CERT4,CERT5 = CERT5,CERT6 = CERT6,CERTTRUST=CERTTRUST
# ,ERROR404=ERROR404,REASON=REASON)
data={"TRANRESULT":TRANRESULT,"WEBUS":WEBUS,"HTTPSSCORE":HTTPSSCORE,"COVERT":COVRED,"REDIR":REDIR,"CERT0":CERT0,"CERT1":CERT1,"CERT2":CERT2,
"CERT3":CERT3,"CERT4":CERT4,"CERT5":CERT5,"CERT6":CERT6,"ERROR404":str(ERROR404),"REASON":REASON,"MALSR":MALSR,"TRIGGERS":TRIGGERS,"MALHITS":MALHITS,}
return data
def legacy_processurl(urltsm,agent):
urltsm=httpscheck.rmrf_protocol(urltsm)
#ASSUME NOT SAFE AS DEFAULT
ISWEBSITESAFE = True
CERTSCORE = "DANGER" # THIS WILL MAKE IT NOT SAFE BY DEFAULT
ISHTTPS="NO"
REDIRECTIONSCORE="NA"
REASON = {
'https': "The website uses HTTPS. It's needed to transmit data securely.",
'certtrust': "The certificate for encryption is not provided by trusted Certification Authority. An attacker can forge a certificate and decrypt the data from HTTPS over SSL, making HTTPS insecure.",
'malware': "This website is not reported for malicious scripts.",
'redir': "Redirection is how a website navigates the user to HTTPS even if they try to visit from HTTP on its own.",
'covred': "The website does not contain redirection code.",
'overall': "",
'webstat': "Website Available"
}
if vtscan_bool:
RESULT=vtscan.getResult(config.VTAPIKEY,urltsm)
MALWARESCORE = RESULT['positives']
TRIGGERS=[]
MALHITS=[]
if MALWARESCORE > 0:
REASON['overall']=REASON['overall']+" * MALWARE HIT"
REASON['malware']= "This website is reported to contain malicious scripts or tools, or it is created with malicious intent. BE CAUTIOUS. An adversary can take advantage and steal your data."
ISWEBSITESAFE= False
if MALWARESCORE > 0:
for i in RESULT['scans']:
if RESULT['scans'][i]['detected'] == True:
TRIGGERS.append(i)
MALHITS.append(RESULT['scans'][i]['result'])
else:
TRIGGERS=[]
MALHITS=[]
TRIGGERS.append("--")
MALHITS.append("--")
REASON['malware']="VirusTotal API key not used, skipping malware scan."
###### =======================================
hostname_idna = idna.encode(urltsm)
sock = socket()
ERROR404=False
try:
sock.connect((hostname_idna, 80))
MARK =1
except Exception:
MARK=-1
if MARK > 0:
REDIRECTIONSCORE=checkReditect.scan(urltsm)
HTTPSBOOL = httpscheck.scan(urltsm)
HTTPSBOOL = HTTPSBOOL.split(';')
ISHTTPS = HTTPSBOOL[0]
if HTTPSBOOL[1] == 'SR':
REDIRECTSCHEME = "SOFT REDIRECTION TO HTTPS"
elif HTTPSBOOL[1] == 'HR':
REDIRECTSCHEME = "HARD REDIRECTION TO HTTPS"
else:
REDIRECTSCHEME = "NO REDIRECT"
### CHECKING RESULTS
# print("NO" in ISHTTPS)
if "NO" in ISHTTPS:
print("http hit")
REASON['https']="The website do not use HTTPS. It's needed to transmit data securely."
REASON['overall'] = REASON['overall'] + " * HTTP HIT"
ISWEBSITESAFE = False
if REDIRECTIONSCORE:
print("red hit")
REASON['overall'] = REASON['overall'] + " * COVERT REDIRECTION HIT"
REASON['covred'] = "The website contains redirection code. It can redirect to some other page without " \
"user consent. "
ISWEBSITESAFE= False
if "YES" in ISHTTPS:
print("cert check")
CERT = certcheck.getMainScan(urltsm)
CERT = CERT.split(';')
# CHECK TRUSTED CERTS
if checkTrustedCert.scan(CERT[4]) == True:
REASON['certtrust'] = "The certificate for encryption is provided by trusted Certification Authority."
CERTSCORE = "SAFE"
#
if "SAFE" not in CERTSCORE:
print("cert hit")
REASON['overall'] = REASON['overall'] + " * UNTRUSTED ENCRYPTION CERT"
REASON['certtrust'] = "The certificate for encryption is not provided by trusted Certification Authority. An attacker can forge a certificate and decrypt the data from HTTPS over SSL, making HTTPS insecure."
ISWEBSITESAFE = False
else:
ERROR404=True
REASON['webstat']="Website appears to be unreachable."
### COMPILING THE DATA IN A STRUCTURE
REDIRECTSCHEME="NA"
if ISWEBSITESAFE == True:
TRANRESULT="YES"
else:
TRANRESULT="NO"
WEBUS=urltsm
if vtscan_bool:
if MALWARESCORE > 0:
MALSR="UNSAFE"
TRIGGERS=str(TRIGGERS)
MALHITS=str(MALHITS)
else:
MALSR = "SAFE"
else:
MALSR="N/A"
if "NO" not in ISHTTPS:
HTTPSSCORE="YES"
REDIR=REDIRECTSCHEME
if CERT is not None:
CERT0=CERT[0]
CERT1 = CERT[1]
CERT2 = CERT[2]
CERT3 = str(CERT[3])
CERT4 = CERT[4]
CERT5 = CERT[5]
CERT6 = CERT[6]
else:
CERT0 = "NA"
CERT1 = "NA"
CERT2 = "NA"
CERT3 = "NA"
CERT4 = "NA"
CERT5 = "NA"
CERT6 = "NA"
if checkTrustedCert.scan(CERT[4]) == True:
CERTTRUST="YES"
else:
CERTTRUST = "NO"
else:
HTTPSSCORE = "NO"
REDIR = REDIRECTSCHEME
CERT0 = "NA"
CERT1 = "NA"
CERT2 = "NA"
CERT3 = "NA"
CERT4 = "NA"
CERT5 = "NA"
CERT6 = "NA"
CERTTRUST="NA"
if REDIRECTIONSCORE == True:
COVRED="YES"
else:
COVRED = "NO"
if agent == "shell":
return str(str(TRANRESULT)+";"+(WEBUS)+";"+(MALSR)+";"+str(TRIGGERS)+";"+str(MALHITS)+";"+HTTPSSCORE+";"+COVRED+";"+REDIR+";"+CERT0+";"+CERT1+";"+CERT2+";"+CERT3+";"+CERT4+";"+CERT5+";"+CERT6+";"+CERTTRUST+";"+str(ERROR404)+";"+str(REASON))
return render_template('res.html',TRANRESULT=TRANRESULT,WEBUS=WEBUS,MALSR=MALSR,TRIGGERS=TRIGGERS,MALHITS=MALHITS,
HTTPSSCORE=HTTPSSCORE,COVRED=COVRED,REDIR=REDIR,CERT0=CERT0,CERT1 = CERT1,CERT2 = CERT2,CERT3 = CERT3,CERT4 = CERT4,CERT5 = CERT5,CERT6 = CERT6,CERTTRUST=CERTTRUST
,ERROR404=ERROR404,REASON=REASON)
if __name__ == '__main__':
# sys("rm ./templates/result.html")
app.run()
| 31.277778 | 248 | 0.571253 | 1,589 | 14,638 | 5.232851 | 0.151038 | 0.025015 | 0.01828 | 0.025015 | 0.901263 | 0.892363 | 0.880337 | 0.880337 | 0.880337 | 0.880337 | 0 | 0.018951 | 0.304277 | 14,638 | 467 | 249 | 31.344754 | 0.797526 | 0.090723 | 0 | 0.861862 | 0 | 0.024024 | 0.273447 | 0.006484 | 0 | 0 | 0 | 0 | 0 | 1 | 0.018018 | false | 0 | 0.021021 | 0 | 0.072072 | 0.033033 | 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 |
b10b03287a17d8ecb52481e1826ea75a4b3299ed | 2,389 | py | Python | main/migrations/0005_auto_20201119_2111.py | vestial/vision-video-analyzer | f5c5f9c0f0522008e86641648fd1591507ca8f6b | [
"MIT"
] | 1 | 2020-10-30T00:49:21.000Z | 2020-10-30T00:49:21.000Z | main/migrations/0005_auto_20201119_2111.py | vestial/vision-video-analyzer | f5c5f9c0f0522008e86641648fd1591507ca8f6b | [
"MIT"
] | null | null | null | main/migrations/0005_auto_20201119_2111.py | vestial/vision-video-analyzer | f5c5f9c0f0522008e86641648fd1591507ca8f6b | [
"MIT"
] | null | null | null | # Generated by Django 3.1.2 on 2020-11-19 21:11
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('main', '0004_auto_20201119_2103'),
]
operations = [
migrations.AddField(
model_name='video',
name='bit_depth_rating',
field=models.CharField(blank=True,
default='Unknown',
max_length=64,
null=True),
),
migrations.AddField(
model_name='video',
name='bit_rate_rating',
field=models.CharField(blank=True,
default='Unknown',
max_length=64,
null=True),
),
migrations.AddField(
model_name='video',
name='frame_rate_rating',
field=models.CharField(blank=True,
default='Unknown',
max_length=64,
null=True),
),
migrations.AddField(
model_name='video',
name='resolution_rating',
field=models.CharField(blank=True,
default='Unknown',
max_length=64,
null=True),
),
migrations.AddField(
model_name='video',
name='sample_rate_rating',
field=models.CharField(blank=True,
default='Unknown',
max_length=64,
null=True),
),
migrations.AddField(
model_name='video',
name='shutter_speed_rating',
field=models.CharField(blank=True,
default='Unknown',
max_length=64,
null=True),
),
migrations.AddField(
model_name='video',
name='video_length_rating',
field=models.CharField(blank=True,
default='Unknown',
max_length=64,
null=True),
),
]
| 34.128571 | 53 | 0.406865 | 175 | 2,389 | 5.382857 | 0.274286 | 0.076433 | 0.170913 | 0.200637 | 0.791932 | 0.791932 | 0.791932 | 0.747346 | 0.747346 | 0.747346 | 0 | 0.038136 | 0.506069 | 2,389 | 69 | 54 | 34.623188 | 0.760169 | 0.018836 | 0 | 0.777778 | 1 | 0 | 0.099488 | 0.009821 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.015873 | 0 | 0.063492 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 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 | 9 |
b1289adf66e2592748059078d3bd91047afd16e7 | 728 | py | Python | test_webservice.py | PeterSulcs/threes-clone | 0fa4044d58a781a1afdcee7300abaf72a29e3626 | [
"MIT"
] | null | null | null | test_webservice.py | PeterSulcs/threes-clone | 0fa4044d58a781a1afdcee7300abaf72a29e3626 | [
"MIT"
] | null | null | null | test_webservice.py | PeterSulcs/threes-clone | 0fa4044d58a781a1afdcee7300abaf72a29e3626 | [
"MIT"
] | 1 | 2018-03-02T02:40:07.000Z | 2018-03-02T02:40:07.000Z | __author__ = 'Peter_000'
import requests
import json
board = requests.get('http://127.0.0.1:5000/new')
print board.json()
next_turn = requests.post('http://127.0.0.1:5000/move/down', data=json.dumps(json.loads(board.content)))
print next_turn.json()
next_turn = requests.post('http://127.0.0.1:5000/move/up',
data=json.dumps(json.loads(next_turn.content)))
print next_turn.json()
next_turn = requests.post('http://127.0.0.1:5000/move/right',
data=json.dumps(json.loads(next_turn.content)))
print next_turn.json()
next_turn = requests.post('http://127.0.0.1:5000/move/left',
data=json.dumps(json.loads(next_turn.content)))
print next_turn.json() | 33.090909 | 104 | 0.660714 | 115 | 728 | 4.043478 | 0.234783 | 0.189247 | 0.086022 | 0.096774 | 0.812903 | 0.765591 | 0.735484 | 0.735484 | 0.735484 | 0.735484 | 0 | 0.087028 | 0.163462 | 728 | 22 | 105 | 33.090909 | 0.676519 | 0 | 0 | 0.4375 | 0 | 0 | 0.215364 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.125 | null | null | 0.3125 | 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 |
b128d9b37da2b0dc4912271467b270865f68075f | 9,457 | py | Python | torchpq/fn/IVFPQTopk.py | mhamilton723/TorchPQ | f3d560ec04d9c741943fa930a1257c9be9445cbe | [
"MIT"
] | null | null | null | torchpq/fn/IVFPQTopk.py | mhamilton723/TorchPQ | f3d560ec04d9c741943fa930a1257c9be9445cbe | [
"MIT"
] | null | null | null | torchpq/fn/IVFPQTopk.py | mhamilton723/TorchPQ | f3d560ec04d9c741943fa930a1257c9be9445cbe | [
"MIT"
] | null | null | null | from ..kernels import IVFPQTopkCuda
from ..kernels import IVFPQTop1Cuda
class IVFPQTopk:
def __init__(
self,
n_subvectors,
contiguous_size=4,
sm_size=48*1024,
):
self.n_subvectors = n_subvectors
self.contiguous_size = contiguous_size
self.sm_size = sm_size
self._top1024_cuda = IVFPQTopkCuda(
m=n_subvectors,
tpb=1024,
n_cs=contiguous_size,
stack_capacity = 2,
sm_size=n_subvectors * 1024,
)
self._top512_cuda = IVFPQTopkCuda(
m=n_subvectors,
tpb=512,
n_cs=contiguous_size,
stack_capacity = 2,
sm_size=n_subvectors * 1024,
)
self._top256_cuda = IVFPQTopkCuda(
m=n_subvectors,
tpb=256,
n_cs=contiguous_size,
stack_capacity = 2,
sm_size=n_subvectors * 1024,
)
if n_subvectors <= 32:
self._top1_cuda = IVFPQTop1Cuda(
m=n_subvectors,
tpb=512,
n_cs=contiguous_size,
sm_size=n_subvectors * 1024,
)
else:
self._top1_cuda = IVFPQTop1Cuda(
m=n_subvectors,
tpb=256,
n_cs=contiguous_size,
sm_size=n_subvectors * 1024,
)
def topk(
self,
data,
precomputed,
cell_start,
cell_size,
is_empty,
n_probe_list=None,
k=256
):
assert 0 < k <= 1024
if n_probe_list is not None:
if k == 1:
return self._top1_cuda.top1_smart_probing(
data=data,
precomputed=precomputed,
cell_start=cell_start,
cell_size=cell_size,
is_empty=is_empty,
n_probe_list=n_probe_list,
n_candidates=k
)
elif 1 < k <= 256:
return self._top256_cuda.topk_smart_probing(
data=data,
precomputed=precomputed,
cell_start=cell_start,
cell_size=cell_size,
is_empty=is_empty,
n_probe_list=n_probe_list,
n_candidates=k
)
elif 256 < k <= 512:
return self._top512_cuda.topk_smart_probing(
data=data,
precomputed=precomputed,
cell_start=cell_start,
cell_size=cell_size,
is_empty=is_empty,
n_probe_list=n_probe_list,
n_candidates=k
)
elif 512 < k <= 1024:
return self._top1024_cuda.topk_smart_probing(
data=data,
precomputed=precomputed,
cell_start=cell_start,
cell_size=cell_size,
is_empty=is_empty,
n_probe_list=n_probe_list,
n_candidates=k
)
else:
if k == 1:
return self._top1_cuda.top1(
data=data,
precomputed=precomputed,
cell_start=cell_start,
cell_size=cell_size,
is_empty=is_empty,
n_candidates=k
)
elif 1 < k <= 256:
return self._top256_cuda.topk(
data=data,
precomputed=precomputed,
cell_start=cell_start,
cell_size=cell_size,
is_empty=is_empty,
n_candidates=k
)
elif 256 < k <= 512:
return self._top512_cuda.topk(
data=data,
precomputed=precomputed,
cell_start=cell_start,
cell_size=cell_size,
is_empty=is_empty,
n_candidates=k
)
elif 512 < k <= 1024:
return self._top1024_cuda.topk(
data=data,
precomputed=precomputed,
cell_start=cell_start,
cell_size=cell_size,
is_empty=is_empty,
n_candidates=k
)
def topk_residual(
self,
data,
precomputed,
cell_start,
cell_size,
base_sims,
is_empty,
n_probe_list=None,
k=256
):
assert 0 < k <= 1024
if n_probe_list is not None:
if k == 1:
return self._top1_cuda.top1_residual_smart_probing(
data=data,
precomputed=precomputed,
base_sims=base_sims,
cell_start=cell_start,
cell_size=cell_size,
is_empty=is_empty,
n_probe_list=n_probe_list,
n_candidates=k
)
elif 1 < k <= 256:
return self._top256_cuda.topk_residual_smart_probing(
data=data,
precomputed=precomputed,
base_sims=base_sims,
cell_start=cell_start,
cell_size=cell_size,
is_empty=is_empty,
n_probe_list=n_probe_list,
n_candidates=k
)
elif 256 < k <= 512:
return self._top512_cuda.topk_residual_smart_probing(
data=data,
precomputed=precomputed,
base_sims=base_sims,
cell_start=cell_start,
cell_size=cell_size,
is_empty=is_empty,
n_probe_list=n_probe_list,
n_candidates=k
)
elif 512 < k <= 1024:
return self._top1024_cuda.topk_residual_smart_probing(
data=data,
precomputed=precomputed,
base_sims=base_sims,
cell_start=cell_start,
cell_size=cell_size,
is_empty=is_empty,
n_probe_list=n_probe_list,
n_candidates=k
)
else:
if k == 1:
return self._top1_cuda.top1_residual(
data=data,
precomputed=precomputed,
base_sims=base_sims,
cell_start=cell_start,
cell_size=cell_size,
is_empty=is_empty,
n_candidates=k
)
elif 1 < k <= 256:
return self._top256_cuda.topk_residual(
data=data,
precomputed=precomputed,
base_sims=base_sims,
cell_start=cell_start,
cell_size=cell_size,
is_empty=is_empty,
n_candidates=k
)
elif 256 < k <= 512:
return self._top512_cuda.topk_residual(
data=data,
precomputed=precomputed,
base_sims=base_sims,
cell_start=cell_start,
cell_size=cell_size,
is_empty=is_empty,
n_candidates=k
)
elif 512 < k <= 1024:
return self._top1024_cuda.topk_residual(
data=data,
precomputed=precomputed,
base_sims=base_sims,
cell_start=cell_start,
cell_size=cell_size,
is_empty=is_empty,
n_candidates=k
)
def topk_residual_precomputed(
self,
data,
part1,
part2,
cell_start,
cell_size,
cells,
base_sims,
is_empty,
n_probe_list=None,
k=256
):
assert 0 < k <= 1024
if n_probe_list is not None:
if k == 1:
return self._top1_cuda.top1_residual_precomputed_smart_probing(
data=data,
part1=part1,
part2=part2,
cells=cells,
base_sims=base_sims,
cell_start=cell_start,
cell_size=cell_size,
is_empty=is_empty,
n_probe_list=n_probe_list,
n_candidates=k
)
elif 1 < k <= 256:
return self._top256_cuda.topk_residual_precomputed_smart_probing(
data=data,
part1=part1,
part2=part2,
cells=cells,
base_sims=base_sims,
cell_start=cell_start,
cell_size=cell_size,
is_empty=is_empty,
n_probe_list=n_probe_list,
n_candidates=k
)
elif 256 < k <= 512:
return self._top512_cuda.topk_residual_precomputed_smart_probing(
data=data,
part1=part1,
part2=part2,
cells=cells,
base_sims=base_sims,
cell_start=cell_start,
cell_size=cell_size,
is_empty=is_empty,
n_probe_list=n_probe_list,
n_candidates=k
)
elif 512 < k <= 1024:
return self._top1024_cuda.topk_residual_precomputed_smart_probing(
data=data,
part1=part1,
part2=part2,
cells=cells,
base_sims=base_sims,
cell_start=cell_start,
cell_size=cell_size,
is_empty=is_empty,
n_probe_list=n_probe_list,
n_candidates=k
)
else:
if k == 1:
return self._top1_cuda.top1_residual_precomputed(
data=data,
part1=part1,
part2=part2,
cells=cells,
base_sims=base_sims,
cell_start=cell_start,
cell_size=cell_size,
is_empty=is_empty,
n_candidates=k
)
elif 1 < k <= 256:
return self._top256_cuda.topk_residual_precomputed(
data=data,
part1=part1,
part2=part2,
cells=cells,
base_sims=base_sims,
cell_start=cell_start,
cell_size=cell_size,
is_empty=is_empty,
n_candidates=k
)
elif 256 < k <= 512:
return self._top512_cuda.topk_residual_precomputed(
data=data,
part1=part1,
part2=part2,
cells=cells,
base_sims=base_sims,
cell_start=cell_start,
cell_size=cell_size,
is_empty=is_empty,
n_candidates=k
)
elif 512 < k <= 1024:
return self._top1024_cuda.topk_residual_precomputed(
data=data,
part1=part1,
part2=part2,
cells=cells,
base_sims=base_sims,
cell_start=cell_start,
cell_size=cell_size,
is_empty=is_empty,
n_candidates=k
)
| 26.342618 | 74 | 0.562652 | 1,119 | 9,457 | 4.378016 | 0.053619 | 0.093693 | 0.135334 | 0.093693 | 0.938559 | 0.938559 | 0.925087 | 0.91039 | 0.900184 | 0.869973 | 0 | 0.050083 | 0.364492 | 9,457 | 358 | 75 | 26.416201 | 0.765058 | 0 | 0 | 0.788571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008571 | 1 | 0.011429 | false | 0 | 0.005714 | 0 | 0.088571 | 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 |
b1a29eba39dbc63be60c42b35e0d93905602283d | 3,044 | py | Python | Python/number-of-people-that-can-be-seen-in-a-grid.py | osmaelo/LeetCode-Solutions | e069176bb52fbcc26d0d2befb78bc7a4cbfb763a | [
"MIT"
] | 4 | 2018-10-11T17:50:56.000Z | 2018-10-11T21:16:44.000Z | Python/number-of-people-that-can-be-seen-in-a-grid.py | osmaelo/LeetCode-Solutions | e069176bb52fbcc26d0d2befb78bc7a4cbfb763a | [
"MIT"
] | null | null | null | Python/number-of-people-that-can-be-seen-in-a-grid.py | osmaelo/LeetCode-Solutions | e069176bb52fbcc26d0d2befb78bc7a4cbfb763a | [
"MIT"
] | 4 | 2018-10-11T18:50:32.000Z | 2018-10-12T00:04:09.000Z | # Time: O(m * n)
# Space: O(m + n)
# mono stack, optimized from solution2
class Solution(object):
def seePeople(self, heights):
"""
:type heights: List[List[int]]
:rtype: List[List[int]]
"""
def count(h, stk):
cnt = 0
while stk and stk[-1] < h:
stk.pop()
cnt += 1
if stk:
cnt += 1
if not stk or stk[-1] != h:
stk.append(h)
return cnt
result = [[0]*len(heights[0]) for _ in xrange(len(heights))]
for i in xrange(len(heights)):
stk = []
for j in reversed(xrange(len(heights[0]))):
result[i][j] += count(heights[i][j], stk)
for j in xrange(len(heights[0])):
stk = []
for i in reversed(xrange(len(heights))):
result[i][j] += count(heights[i][j], stk)
return result
# Time: O(m * n)
# Space: O(m + n)
# mono stack
class Solution2(object):
def seePeople(self, heights):
"""
:type heights: List[List[int]]
:rtype: List[List[int]]
"""
def count(heights, i, stk):
cnt = 0
while stk and heights(stk[-1]) < heights(i):
stk.pop()
cnt += 1
if stk:
cnt += 1
if stk and heights(stk[-1]) == heights(i):
stk.pop()
stk.append(i)
return cnt
result = [[0]*len(heights[0]) for _ in xrange(len(heights))]
for i in xrange(len(heights)):
stk = []
for j in reversed(xrange(len(heights[0]))):
result[i][j] += count(lambda x: heights[i][x], j, stk)
for j in xrange(len(heights[0])):
stk = []
for i in reversed(xrange(len(heights))):
result[i][j] += count(lambda x: heights[x][j], i, stk)
return result
# Time: O(m * n)
# Space: O(m + n)
# mono stack
class Solution3(object):
def seePeople(self, heights):
"""
:type heights: List[List[int]]
:rtype: List[List[int]]
"""
def count(heights, i, stk, add):
while stk and heights(stk[-1]) < heights(i):
increase(stk.pop())
if stk:
increase(stk[-1])
if stk and heights(stk[-1]) == heights(i):
stk.pop()
stk.append(i)
result = [[0]*len(heights[0]) for _ in xrange(len(heights))]
for i in xrange(len(heights)):
stk = []
def increase(x): result[i][x] += 1
for j in xrange(len(heights[0])):
count(lambda x: heights[i][x], j, stk, add)
for j in xrange(len(heights[0])):
stk = []
def increase(x): result[x][j] += 1
for i in xrange(len(heights)):
count(lambda x: heights[x][j], i, stk, add)
return result
| 31.381443 | 83 | 0.447109 | 380 | 3,044 | 3.573684 | 0.126316 | 0.132548 | 0.17673 | 0.145803 | 0.897644 | 0.871134 | 0.838733 | 0.821797 | 0.70324 | 0.656112 | 0 | 0.016556 | 0.404731 | 3,044 | 96 | 84 | 31.708333 | 0.732892 | 0.105125 | 0 | 0.746269 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.119403 | false | 0 | 0 | 0 | 0.238806 | 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 |
491ad274ea263eab9aa3d458b52122d5f19077be | 11,683 | py | Python | semestral_work/tests.py | holoubekm/BI-PYT | 377dcbb775010aa6f8f427b7c95cacf9b88a2ba6 | [
"Apache-2.0"
] | null | null | null | semestral_work/tests.py | holoubekm/BI-PYT | 377dcbb775010aa6f8f427b7c95cacf9b88a2ba6 | [
"Apache-2.0"
] | null | null | null | semestral_work/tests.py | holoubekm/BI-PYT | 377dcbb775010aa6f8f427b7c95cacf9b88a2ba6 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Tento testovací skript předpokládá, že výkonná část interpretru je uložena v adresáři „brainx“ (a tudíž volána pomocí „__main__.py“). Souhrnně je adresářová struktura semestrálky následující:
semestrálka.kostra/
brainx/
__main__.py
...
tests/
...
README.txt
tests.py
Postupně se volají následující testy:
# memory tests
brainx "[-]" -m b'\x03\x02' -p 1 -t
brainx "[[-]<]" -m b'\x03\x03\x00\x02\x02' -p 4 -t
brainx "[<]" -m b'\x03\x03\x00\x02\x02' -p 4 -t
brainx "[>]" -m b'\x03\x03\x00\x02\x02' -t
brainx "[>+<-]" -m b'\x03\x03' -t
brainx "[>+>+<<-]>>[<<+>>-]" -m b'\x03\x03' -t
brainx "[>-<-]" -m b'\x03\x05' -t
# basic brainfuck tests
brainx tests/hello1.b
brainx tests/hello2.b
brainx -t tests/hello2.b
brainx tests/hello2t.b
# brainfuck with input
brainx tests/numwarp_input.b
# basic PNG
brainx tests/sachovnice.jpg
brainx tests/sachovnice_paleta.png
# brainloller
brainx tests/HelloWorld.png
brainx -t tests/HelloWorld.png
"""
import subprocess
#
# memory tests
#
# test 0a
print('\n\nTest 0a: brainx "[-]" -m b\'\\x03\\x02\' -p 1 -t')
print('\tvynulování aktuální, ale pouze aktuální, buňky')
args = ['python3', 'brainx', '"[-]"', '-m', r"b'\x03\x02'", '-p', '1', '-t']
p = subprocess.Popen(args, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
output, error = p.communicate()
print( "output:", output )
assert output.replace(b'\r', b'') == b''
print( "return code:", p.returncode )
assert p.returncode == 0
#print( "error:", error )
assert error == b''
with open('tests/memory01_debug_01.log', mode='r', encoding='ascii') as f:
txt_in = f.read()
with open('debug_01.log', mode='r', encoding='ascii') as f:
txt_out = f.read()
assert txt_in == txt_out
# test 0b
print('\n\nTest 0b: brainx "[[-]<]" -m b\'\\x03\\x03\\x00\\x02\\x02\' -p 4 -t')
print('\tvynulování všech nenulových buněk doleva')
args = ['python3', 'brainx', '"[[-]<]"', '-m', r"b'\x03\x03\x00\x02\x02'", '-p', '4', '-t']
p = subprocess.Popen(args, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
output, error = p.communicate()
print( "output:", output )
assert output.replace(b'\r', b'') == b''
print( "return code:", p.returncode )
assert p.returncode == 0
#print( "error:", error )
assert error == b''
with open('tests/memory02_debug_01.log', mode='r', encoding='ascii') as f:
txt_in = f.read()
with open('debug_01.log', mode='r', encoding='ascii') as f:
txt_out = f.read()
assert txt_in == txt_out
# test 0c
print('\n\nTest 0c: brainx "[<]" -m b\'\\x03\\x03\\x00\\x02\\x02\' -p 4 -t')
print('\tpřesun na první nenulovou buňku doleva')
args = ['python3', 'brainx', '"[<]"', '-m', r"b'\x03\x03\x00\x02\x02'", '-p', '4', '-t']
p = subprocess.Popen(args, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
output, error = p.communicate()
print( "output:", output )
assert output.replace(b'\r', b'') == b''
print( "return code:", p.returncode )
assert p.returncode == 0
#print( "error:", error )
assert error == b''
with open('tests/memory03_debug_01.log', mode='r', encoding='ascii') as f:
txt_in = f.read()
with open('debug_01.log', mode='r', encoding='ascii') as f:
txt_out = f.read()
assert txt_in == txt_out
# test 0d
print('\n\nTest 0d: brainx "[>]" -m b\'\\x03\\x03\\x00\\x02\\x02\' -t')
print('\tpřesun na první nenulovou buňku doprava')
args = ['python3', 'brainx', '"[>]"', '-m', r"b'\x03\x03\x00\x02\x02'", '-t']
p = subprocess.Popen(args, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
output, error = p.communicate()
print( "output:", output )
assert output.replace(b'\r', b'') == b''
print( "return code:", p.returncode )
assert p.returncode == 0
#print( "error:", error )
assert error == b''
with open('tests/memory04_debug_01.log', mode='r', encoding='ascii') as f:
txt_in = f.read()
with open('debug_01.log', mode='r', encoding='ascii') as f:
txt_out = f.read()
assert txt_in == txt_out
# test 0e
print('\n\nTest 0e: brainx "[>+<-]" -m b\'\\x03\\x03\' -t')
print('\tdestruktivní přičtení aktuální buňky k buňce následující')
args = ['python3', 'brainx', '"[>+<-]"', '-m', r"b'\x03\x03'", '-t']
p = subprocess.Popen(args, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
output, error = p.communicate()
print( "output:", output )
assert output.replace(b'\r', b'') == b''
print( "return code:", p.returncode )
assert p.returncode == 0
#print( "error:", error )
assert error == b''
with open('tests/memory05_debug_01.log', mode='r', encoding='ascii') as f:
txt_in = f.read()
with open('debug_01.log', mode='r', encoding='ascii') as f:
txt_out = f.read()
assert txt_in == txt_out
# test 0f
print('\n\nTest 0f: brainx "[>+>+<<-]>>[<<+>>-]" -m b\'\\x03\\x03\' -t')
print('\tnedestruktivní přičtení aktuální buňky k buňce následující')
args = ['python3', 'brainx', '"[>+>+<<-]>>[<<+>>-]"', '-m', r"b'\x03\x03'", '-t']
p = subprocess.Popen(args, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
output, error = p.communicate()
print( "output:", output )
assert output.replace(b'\r', b'') == b''
print( "return code:", p.returncode )
assert p.returncode == 0
#print( "error:", error )
assert error == b''
with open('tests/memory06_debug_01.log', mode='r', encoding='ascii') as f:
txt_in = f.read()
with open('debug_01.log', mode='r', encoding='ascii') as f:
txt_out = f.read()
assert txt_in == txt_out
# test 0g
print('\n\nTest 0g: brainx "[>-<-]" -m b\'\\x03\\x05\' -t')
print('\tdestruktivní odečtení aktuální buňky od buňky následující')
args = ['python3', 'brainx', '"[>-<-]"', '-m', r"b'\x03\x05'", '-t']
p = subprocess.Popen(args, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
output, error = p.communicate()
print( "output:", output )
assert output.replace(b'\r', b'') == b''
print( "return code:", p.returncode )
assert p.returncode == 0
#print( "error:", error )
assert error == b''
with open('tests/memory07_debug_01.log', mode='r', encoding='ascii') as f:
txt_in = f.read()
with open('debug_01.log', mode='r', encoding='ascii') as f:
txt_out = f.read()
assert txt_in == txt_out
#
# basic brainfuck tests
#
# test 1
print('\n\nTest 1: brainx tests/hello1.b')
print('\tHelloWorld s \\n')
args = ['python3', 'brainx', 'tests/hello1.b']
p = subprocess.Popen(args, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
output, error = p.communicate()
print( "output:", output )
assert output.replace(b'\r', b'') == b'Hello World!\n'
print( "return code:", p.returncode )
assert p.returncode == 0
#print( "error:", error )
assert error == b''
# test 2a
print('\n\nTest 2a: brainx tests/hello2.b')
print('\tHelloWorld bez \\n')
args = ['python3', 'brainx', 'tests/hello2.b']
p = subprocess.Popen(args, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
output, error = p.communicate()
print( "output:", output )
assert output == b'Hello World!'
print( "return code:", p.returncode )
assert p.returncode == 0
#print( "error:", error )
assert error == b''
# test 2b
print('\n\nTest 2b: brainx -t tests/hello2.b')
print('\tHelloWorld bez \\n plus log')
args = ['python3', 'brainx', '-t', 'tests/hello2.b']
p = subprocess.Popen(args, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
output, error = p.communicate()
print( "output:", output )
assert output == b'Hello World!'
print( "return code:", p.returncode )
assert p.returncode == 0
#print( "error:", error )
assert error == b''
with open('tests/hello2_debug_01.log', mode='r', encoding='ascii') as f:
txt_in = f.read()
with open('debug_01.log', mode='r', encoding='ascii') as f:
txt_out = f.read()
assert txt_in == txt_out
# test 2c
print('\n\nTest 2c: brainx tests/hello2t.b')
print('\tHelloWorld bez \\n plus dva průběžné logy')
args = ['python3', 'brainx', 'tests/hello2t.b']
p = subprocess.Popen(args, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
output, error = p.communicate()
print( "output:", output )
assert output == b'Hello World!'
print( "return code:", p.returncode )
assert p.returncode == 0
#print( "error:", error )
assert error == b''
with open('tests/hello2t_debug_01.log', mode='r', encoding='ascii') as f:
txt_in = f.read()
with open('debug_01.log', mode='r', encoding='ascii') as f:
txt_out = f.read()
assert txt_in == txt_out
with open('tests/hello2t_debug_02.log', mode='r', encoding='ascii') as f:
txt_in = f.read()
with open('debug_02.log', mode='r', encoding='ascii') as f:
txt_out = f.read()
assert txt_in == txt_out
#
# brainfuck with input
#
# test 3
print('\n\nTest 3: brainx tests/numwarp_input.b')
print('\tnumwarp.b pro vstup "123"')
args = ['python3', 'brainx', 'tests/numwarp_input.b']
p = subprocess.Popen(args, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
output, error = p.communicate()
print( "output:", output )
assert output.replace(b'\r', b'') == b' /\\\n /\\\n /\\ /\n / \n \\ \\/\n \\\n \n'
print( "return code:", p.returncode )
assert p.returncode == 0
#print( "error:", error )
assert error == b''
#
# basic PNG
#
# test 4a
print('\n\nTest 4a: brainx tests/sachovnice.jpg')
print('\tumíme jen PNG')
args = ['python3', 'brainx', 'tests/sachovnice.jpg']
p = subprocess.Popen(args, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
output, error = p.communicate()
print( "output:", output )
assert output == b''
print( "return code:", p.returncode )
assert p.returncode == 4
#print( "error:", error )
assert b'PNGWrongHeaderError' in error
# test 4b
print('\n\nTest 4b: brainx tests/sachovnice_paleta.png')
print('\tumíme jen některá PNG')
args = ['python3', 'brainx', 'tests/sachovnice_paleta.png']
p = subprocess.Popen(args, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
output, error = p.communicate()
print( "output:", output )
assert output == b''
print( "return code:", p.returncode )
assert p.returncode == 8
#print( "error:", error )
assert b'PNGNotImplementedError' in error
#
# brainloller
#
# test 5a
print('\n\nTest 5a: brainx tests/HelloWorld.png')
print('\tnačtení dat z obrázku HelloWorld.png')
args = ['python3', 'brainx', 'tests/HelloWorld.png']
p = subprocess.Popen(args, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
output, error = p.communicate()
print( "output:", output )
assert output == b'Hello World!'
print( "return code:", p.returncode )
assert p.returncode == 0
#print( "error:", error )
assert error == b''
# test 5b
print('\n\nTest 5b: brainx -t tests/HelloWorld.png')
print('\tnačtení dat z obrázku HelloWorld.png plus log')
args = ['python3', 'brainx', '-t', 'tests/HelloWorld.png']
p = subprocess.Popen(args, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
output, error = p.communicate()
print( "output:", output )
#assert output == b'Hello World!'
print( "return code:", p.returncode )
assert p.returncode == 0
#print( "error:", error )
assert error == b''
with open('tests/HelloWorld_debug_01.log', mode='r', encoding='ascii') as f:
txt_in = f.read()
with open('debug_01.log', mode='r', encoding='ascii') as f:
txt_out = f.read()
assert txt_in == txt_out
#
# everything went OK
#
print('\n\n', '-'*70, '\n', 'OK: All tests passed.')
| 34.260997 | 192 | 0.642044 | 1,691 | 11,683 | 4.383797 | 0.102898 | 0.090652 | 0.023742 | 0.047484 | 0.820316 | 0.776744 | 0.759881 | 0.727776 | 0.718737 | 0.7155 | 0 | 0.029582 | 0.158007 | 11,683 | 340 | 193 | 34.361765 | 0.723696 | 0.058375 | 0 | 0.685185 | 0 | 0 | 0.300322 | 0.054453 | 0 | 0 | 0 | 0 | 0.268519 | 0 | null | null | 0.00463 | 0.00463 | null | null | 0.300926 | 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 |
4951cd2dcace30e634d3ef40e8c94bd03ae06cef | 5,994 | py | Python | python_rucaptcha/RuCaptchaControl.py | MasterScott/python-rucaptcha | 187e06511384dbbd52d16d68056c7b7b0c5ab5a3 | [
"MIT"
] | 70 | 2017-08-04T14:20:19.000Z | 2022-02-26T21:13:09.000Z | python_rucaptcha/RuCaptchaControl.py | MasterScott/python-rucaptcha | 187e06511384dbbd52d16d68056c7b7b0c5ab5a3 | [
"MIT"
] | 56 | 2017-08-05T22:51:01.000Z | 2022-03-25T10:47:57.000Z | python_rucaptcha/RuCaptchaControl.py | MasterScott/python-rucaptcha | 187e06511384dbbd52d16d68056c7b7b0c5ab5a3 | [
"MIT"
] | 28 | 2017-08-08T11:21:12.000Z | 2022-03-27T12:39:19.000Z | import aiohttp
import requests
from python_rucaptcha.decorators import api_key_check, service_check
class RuCaptchaControl:
def __init__(self, rucaptcha_key: str, service_type: str = "2captcha", **kwargs):
"""
Модуль отвечает за дополнительные действия с аккаунтом и капчей.
:param rucaptcha_key: Ключ от RuCaptcha
:param service_type: URL с которым будет работать программа, возможен вариант "2captcha"(стандартный)
и "rucaptcha"
"""
self.service_type = service_type
self.post_payload = {"key": rucaptcha_key, "json": 1}
# Если переданы ещё параметры - вносим их в post_payload
if kwargs:
for key in kwargs:
self.post_payload.update({key: kwargs[key]})
def __enter__(self):
return self
def __exit__(self, exc_type, exc_value, traceback):
if exc_type:
return False
return True
@api_key_check
@service_check
def additional_methods(self, action: str, **kwargs):
"""
Метод который выполняет дополнительные действия, такие как жалобы/получение баланса и прочее.
:param action: Тип действия, самые типичные:
getbalance(получение баланса),
reportbad(жалоба на неверное решение).
reportgood(оповещение при верном решении капчи, для сбора статистики по ReCaptcha V3)
:param kwargs: Для передачи дополнительных параметров
:return: Возвращает JSON строку с соответствующими полями:
serverAnswer - ответ сервера при использовании RuCaptchaControl(баланс/жалобы и т.д.),
taskId - находится Id задачи на решение капчи, можно использовать при жалобах и прочем,
error - False - если всё хорошо, True - если есть ошибка,
errorBody - название ошибки
Больше подробностей и примеров можно прочитать в 'CaptchaTester/rucaptcha_control_example.py'
"""
# result, url_response - задаются в декораторе `service_check`, после проверки переданного названия
# Если переданы ещё параметры - вносим их в post_payload
if kwargs:
for key in kwargs:
self.post_payload.update({key: kwargs[key]})
self.post_payload.update({"action": action})
try:
# отправляем на сервер данные с вашим запросом
answer = requests.post(self.url_response, data=self.post_payload)
except Exception as error:
self.result.update({"error": True, "errorBody": {"text": error, "id": -1}})
return self.result
if answer.json()["status"] == 0:
self.result.update({"error": True, "errorBody": answer.json()["request"]})
return self.result
elif answer.json()["status"] == 1:
self.result.update({"serverAnswer": answer.json()["request"]})
return self.result
# асинхронный метод
class aioRuCaptchaControl:
def __init__(self, rucaptcha_key: str, service_type: str = "2captcha", **kwargs):
"""
Асинхронный модуль отвечает за дополнительные действия с аккаунтом и капчей.
:param rucaptcha_key: Ключ от RuCaptcha
:param service_type: URL с которым будет работать программа, возможен вариант "2captcha"(стандартный)
и "rucaptcha"
:param kwargs: Для передачи дополнительных параметров
"""
self.service_type = service_type
self.post_payload = {"key": rucaptcha_key, "json": 1}
# Если переданы ещё параметры - вносим их в post_payload
if kwargs:
for key in kwargs:
self.post_payload.update({key: kwargs[key]})
def __enter__(self):
return self
def __exit__(self, exc_type, exc_value, traceback):
if exc_type:
return False
return True
@api_key_check
@service_check
async def additional_methods(self, action: str, **kwargs):
"""
Асинхронный метод который выполняет дополнительные действия, такие как жалобы/получение баланса и прочее.
:param action: Тип действия, самые типичные: getbalance(получение баланса),
reportbad(жалоба на неверное решение).
:param kwargs: Для передачи дополнительных параметров
:return: Возвращает JSON строку с соответствующими полями:
serverAnswer - ответ сервера при использовании RuCaptchaControl(баланс/жалобы и т.д.),
taskId - находится Id задачи на решение капчи, можно использовать при жалобах и прочем,
error - False - если всё хорошо, True - если есть ошибка,
errorBody - название ошибки
Больше подробностей и примеров можно прочитать в 'CaptchaTester/rucaptcha_control_example.py'
"""
# result, url_response - задаются в декораторе `service_check`, после проверки переданного названия
# Если переданы ещё параметры - вносим их в post_payload
if kwargs:
for key in kwargs:
self.post_payload.update({key: kwargs[key]})
self.post_payload.update({"action": action})
try:
async with aiohttp.ClientSession() as session:
# отправляем на сервер данные с вашим запросом
async with session.post(self.url_response, data=self.post_payload) as resp:
answer = await resp.json()
except Exception as error:
self.result.update({"error": True, "errorBody": {"text": error, "id": -1}})
return self.result
if answer["status"] == 0:
self.result.update({"error": True, "errorBody": answer["request"]})
return self.result
elif answer["status"] == 1:
self.result.update({"serverAnswer": answer["request"]})
return self.result
| 43.122302 | 113 | 0.621955 | 654 | 5,994 | 5.577982 | 0.253823 | 0.042215 | 0.041118 | 0.034539 | 0.911458 | 0.898849 | 0.859649 | 0.794956 | 0.774123 | 0.748355 | 0 | 0.003082 | 0.296296 | 5,994 | 138 | 114 | 43.434783 | 0.861783 | 0.324324 | 0 | 0.716418 | 0 | 0 | 0.063029 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.104478 | false | 0 | 0.044776 | 0.029851 | 0.358209 | 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 |
495984add818f45137c51b837272b69ecf6a0c57 | 10,951 | py | Python | prototree/project.py | TristanGomez44/ProtoTree | d9e77a90b47cb1efe19f1736c6701872a3c4a62e | [
"MIT"
] | 35 | 2020-12-03T14:38:52.000Z | 2022-03-30T02:41:26.000Z | prototree/project.py | TristanGomez44/ProtoTree | d9e77a90b47cb1efe19f1736c6701872a3c4a62e | [
"MIT"
] | 3 | 2021-06-01T10:55:12.000Z | 2021-11-27T10:40:14.000Z | prototree/project.py | TristanGomez44/ProtoTree | d9e77a90b47cb1efe19f1736c6701872a3c4a62e | [
"MIT"
] | 7 | 2021-03-13T12:17:01.000Z | 2022-02-17T15:12:13.000Z | import argparse
import torch
from torch.utils.data import DataLoader
from tqdm import tqdm
import numpy as np
from prototree.prototree import ProtoTree
from util.log import Log
def project(tree: ProtoTree,
project_loader: DataLoader,
device,
args: argparse.Namespace,
log: Log,
log_prefix: str = 'log_projection', # TODO
progress_prefix: str = 'Projection'
) -> dict:
log.log_message("\nProjecting prototypes to nearest training patch (without class restrictions)...")
# Set the model to evaluation mode
tree.eval()
torch.cuda.empty_cache()
# The goal is to find the latent patch that minimizes the L2 distance to each prototype
# To do this we iterate through the train dataset and store for each prototype the closest latent patch seen so far
# Also store info about the image that was used for projection
global_min_proto_dist = {j: np.inf for j in range(tree.num_prototypes)}
global_min_patches = {j: None for j in range(tree.num_prototypes)}
global_min_info = {j: None for j in range(tree.num_prototypes)}
# Get the shape of the prototypes
W1, H1, D = tree.prototype_shape
# Build a progress bar for showing the status
projection_iter = tqdm(enumerate(project_loader),
total=len(project_loader),
desc=progress_prefix,
ncols=0
)
with torch.no_grad():
# Get a batch of data
xs, ys = next(iter(project_loader))
batch_size = xs.shape[0]
for i, (xs, ys) in projection_iter:
xs, ys = xs.to(device), ys.to(device)
# Get the features and distances
# - features_batch: features tensor (shared by all prototypes)
# shape: (batch_size, D, W, H)
# - distances_batch: distances tensor (for all prototypes)
# shape: (batch_size, num_prototypes, W, H)
# - out_map: a dict mapping decision nodes to distances (indices)
features_batch, distances_batch, out_map = tree.forward_partial(xs)
# Get the features dimensions
bs, D, W, H = features_batch.shape
# Get a tensor containing the individual latent patches
# Create the patches by unfolding over both the W and H dimensions
# TODO -- support for strides in the prototype layer? (corresponds to step size here)
patches_batch = features_batch.unfold(2, W1, 1).unfold(3, H1, 1) # Shape: (batch_size, D, W, H, W1, H1)
# Iterate over all decision nodes/prototypes
for node, j in out_map.items():
# Iterate over all items in the batch
# Select the features/distances that are relevant to this prototype
# - distances: distances of the prototype to the latent patches
# shape: (W, H)
# - patches: latent patches
# shape: (D, W, H, W1, H1)
for batch_i, (distances, patches) in enumerate(zip(distances_batch[:, j, :, :], patches_batch)):
# Find the index of the latent patch that is closest to the prototype
min_distance = distances.min()
min_distance_ix = distances.argmin()
# Use the index to get the closest latent patch
closest_patch = patches.view(D, W * H, W1, H1)[:, min_distance_ix, :, :]
# Check if the latent patch is closest for all data samples seen so far
if min_distance < global_min_proto_dist[j]:
global_min_proto_dist[j] = min_distance
global_min_patches[j] = closest_patch
global_min_info[j] = {
'input_image_ix': i * batch_size + batch_i,
'patch_ix': min_distance_ix.item(), # Index in a flattened array of the feature map
'W': W,
'H': H,
'W1': W1,
'H1': H1,
'distance': min_distance.item(),
'nearest_input': torch.unsqueeze(xs[batch_i],0),
'node_ix': node.index,
}
# Update the progress bar if required
projection_iter.set_postfix_str(f'Batch: {i + 1}/{len(project_loader)}')
del features_batch
del distances_batch
del out_map
# Copy the patches to the prototype layer weights
projection = torch.cat(tuple(global_min_patches[j].unsqueeze(0) for j in range(tree.num_prototypes)),
dim=0,
out=tree.prototype_layer.prototype_vectors)
del projection
return global_min_info, tree
def project_with_class_constraints(tree: ProtoTree,
project_loader: DataLoader,
device,
args: argparse.Namespace,
log: Log,
log_prefix: str = 'log_projection_with_constraints', # TODO
progress_prefix: str = 'Projection'
) -> dict:
log.log_message("\nProjecting prototypes to nearest training patch (with class restrictions)...")
# Set the model to evaluation mode
tree.eval()
torch.cuda.empty_cache()
# The goal is to find the latent patch that minimizes the L2 distance to each prototype
# To do this we iterate through the train dataset and store for each prototype the closest latent patch seen so far
# Also store info about the image that was used for projection
global_min_proto_dist = {j: np.inf for j in range(tree.num_prototypes)}
global_min_patches = {j: None for j in range(tree.num_prototypes)}
global_min_info = {j: None for j in range(tree.num_prototypes)}
# Get the shape of the prototypes
W1, H1, D = tree.prototype_shape
# Build a progress bar for showing the status
projection_iter = tqdm(enumerate(project_loader),
total=len(project_loader),
desc=progress_prefix,
ncols=0
)
with torch.no_grad():
# Get a batch of data
xs, ys = next(iter(project_loader))
batch_size = xs.shape[0]
# For each internal node, collect the leaf labels in the subtree with this node as root.
# Only images from these classes can be used for projection.
leaf_labels_subtree = dict()
for branch, j in tree._out_map.items():
leaf_labels_subtree[branch.index] = set()
for leaf in branch.leaves:
leaf_labels_subtree[branch.index].add(torch.argmax(leaf.distribution()).item())
for i, (xs, ys) in projection_iter:
xs, ys = xs.to(device), ys.to(device)
# Get the features and distances
# - features_batch: features tensor (shared by all prototypes)
# shape: (batch_size, D, W, H)
# - distances_batch: distances tensor (for all prototypes)
# shape: (batch_size, num_prototypes, W, H)
# - out_map: a dict mapping decision nodes to distances (indices)
features_batch, distances_batch, out_map = tree.forward_partial(xs)
# Get the features dimensions
bs, D, W, H = features_batch.shape
# Get a tensor containing the individual latent patches
# Create the patches by unfolding over both the W and H dimensions
# TODO -- support for strides in the prototype layer? (corresponds to step size here)
patches_batch = features_batch.unfold(2, W1, 1).unfold(3, H1, 1) # Shape: (batch_size, D, W, H, W1, H1)
# Iterate over all decision nodes/prototypes
for node, j in out_map.items():
leaf_labels = leaf_labels_subtree[node.index]
# Iterate over all items in the batch
# Select the features/distances that are relevant to this prototype
# - distances: distances of the prototype to the latent patches
# shape: (W, H)
# - patches: latent patches
# shape: (D, W, H, W1, H1)
for batch_i, (distances, patches) in enumerate(zip(distances_batch[:, j, :, :], patches_batch)):
#Check if label of this image is in one of the leaves of the subtree
if ys[batch_i].item() in leaf_labels:
# Find the index of the latent patch that is closest to the prototype
min_distance = distances.min()
min_distance_ix = distances.argmin()
# Use the index to get the closest latent patch
closest_patch = patches.view(D, W * H, W1, H1)[:, min_distance_ix, :, :]
# Check if the latent patch is closest for all data samples seen so far
if min_distance < global_min_proto_dist[j]:
global_min_proto_dist[j] = min_distance
global_min_patches[j] = closest_patch
global_min_info[j] = {
'input_image_ix': i * batch_size + batch_i,
'patch_ix': min_distance_ix.item(), # Index in a flattened array of the feature map
'W': W,
'H': H,
'W1': W1,
'H1': H1,
'distance': min_distance.item(),
'nearest_input': torch.unsqueeze(xs[batch_i],0),
'node_ix': node.index,
}
# Update the progress bar if required
projection_iter.set_postfix_str(f'Batch: {i + 1}/{len(project_loader)}')
del features_batch
del distances_batch
del out_map
# Copy the patches to the prototype layer weights
projection = torch.cat(tuple(global_min_patches[j].unsqueeze(0) for j in range(tree.num_prototypes)),
dim=0, out=tree.prototype_layer.prototype_vectors)
del projection
return global_min_info, tree
| 50.233945 | 120 | 0.545612 | 1,285 | 10,951 | 4.500389 | 0.155642 | 0.028013 | 0.005188 | 0.015217 | 0.908525 | 0.89521 | 0.89521 | 0.89521 | 0.89521 | 0.89521 | 0 | 0.0074 | 0.382979 | 10,951 | 217 | 121 | 50.465438 | 0.848453 | 0.300886 | 0 | 0.784 | 0 | 0 | 0.055352 | 0.010718 | 0 | 0 | 0 | 0.004608 | 0 | 1 | 0.016 | false | 0 | 0.056 | 0 | 0.088 | 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 |
497b3ab9fb6d8cd39b33700926d8ff9a60b684ac | 97 | py | Python | .venv/lib/python3.8/site-packages/osqp/__init__.py | eo1989/VectorBTanalysis | bea3deaf2ee3fc114b308146f2af3e4f35f70197 | [
"MIT"
] | 2 | 2021-09-28T01:36:21.000Z | 2021-12-22T08:24:17.000Z | .venv/lib/python3.8/site-packages/osqp/__init__.py | eo1989/VectorBTanalysis | bea3deaf2ee3fc114b308146f2af3e4f35f70197 | [
"MIT"
] | 1 | 2022-03-09T13:13:44.000Z | 2022-03-09T13:13:44.000Z | .venv/lib/python3.8/site-packages/osqp/__init__.py | eo1989/VectorBTanalysis | bea3deaf2ee3fc114b308146f2af3e4f35f70197 | [
"MIT"
] | 1 | 2020-12-08T10:36:30.000Z | 2020-12-08T10:36:30.000Z | from osqp.interface import OSQP
from osqp.interface import solve
from osqp._osqp import constant
| 24.25 | 32 | 0.845361 | 15 | 97 | 5.4 | 0.4 | 0.296296 | 0.419753 | 0.567901 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.123711 | 97 | 3 | 33 | 32.333333 | 0.952941 | 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 |
b8db0ba088244ffe06c21ca41bbca189aa0f3ba2 | 5,670 | py | Python | procurar_duplicata.py | ej2008/Ferramentas | 36a3a879d3dae3e43b61b251e9334eca3dcc3b89 | [
"Unlicense"
] | null | null | null | procurar_duplicata.py | ej2008/Ferramentas | 36a3a879d3dae3e43b61b251e9334eca3dcc3b89 | [
"Unlicense"
] | null | null | null | procurar_duplicata.py | ej2008/Ferramentas | 36a3a879d3dae3e43b61b251e9334eca3dcc3b89 | [
"Unlicense"
] | null | null | null |
cadastro = ['22', [{'piloto': 'Henrique Chiavelli', 'data_nasc': '4/5/66', 'apelido': 'rick', 'id': 1, 'tam_camisa': '', 'co-piloto': ''},
{'piloto': 'Henrique Chiavelli', 'data_nasc': '4/5/66', 'apelido': 'rick', 'id': 1, 'tam_camisa': '', 'co-piloto': ''},
{'piloto': 'Edson Terraz', 'data_nasc': '30/05/99', 'apelido': 'Zica', 'tam_camisa': 'G', 'co-piloto': 'Chia', 'id': 18},
{'piloto': 'Edson Santos', 'data_nasc': '04/04/04', 'apelido': 'Tekn', 'tam_camisa': 'G', 'co-piloto': 'Chia', 'id': 19},
{'piloto': 'Sandra Chiavelli', 'data_nasc': '03/5/69', 'apelido': 'Sandrinha', 'tam_camisa': 'P', 'co-piloto': 'Edson', 'id': 11},
{'piloto': 'Wills Roads', 'data_nasc': '05/03/81', 'apelido': 'Roads', 'tam_camisa': 'P', 'co-piloto': 'Treta', 'id': 14},
{'piloto': 'Zerado', 'data_nasc': '3/5/89', 'apelido': 'Purks', 'tam_camisa': 'G', 'co-piloto': 'Zero', 'id': 8},
{'piloto': 'Professor Pardal', 'data_nasc': '09/02/70', 'apelido': 'Prof, Maluco', 'tam_camisa': 'M', 'co-piloto': '', 'id': 16},
{'piloto': 'Petronio Petrus', 'data_nasc': '05/09/70', 'apelido': 'Petro', 'tam_camisa': 'G', 'co-piloto': 'Karlas', 'id': 13},
{'piloto': 'Francisco Moura', 'data_nasc': '9/2/10', 'apelido': 'Moura', 'id': 5, 'tam_camisa': '', 'co-piloto': ''},
{'piloto': 'Edson J. Silva', 'data_nasc': '23/04/70', 'apelido': 'Motor', 'id': 7, 'tam_camisa': '', 'co-piloto': ''},
{'piloto': 'Penelope Chamosa', 'data_nasc': '04/03/88', 'apelido': 'Mimosa', 'tam_camisa': 'P', 'co-piloto': 'Bob', 'id': 15},
{'piloto': 'Penelope Charmosa', 'data_nasc': '04/03/84', 'apelido': 'Machado', 'tam_camisa': 'XG', 'co-piloto': 'Urso', 'id': 20},
{'piloto': 'Lucivanio', 'data_nasc': '5/4/34', 'apelido': 'Luck', 'id': 3, 'tam_camisa': '', 'co-piloto': ''},
{'piloto': 'Castro Lubri', 'data_nasc': '04/07/82', 'apelido': 'Lub', 'tam_camisa': 'M', 'co-piloto': 'Lub', 'id': 12},
{'piloto': 'Karina kurts', 'data_nasc': '5/4/94', 'apelido': 'Kurts', 'id': 6, 'tam_camisa': '', 'co-piloto': ''},
{'piloto': 'Cabral Cunha', 'data_nasc': '4/5/55', 'apelido': 'Cunha', 'id': 4, 'tam_camisa': '', 'co-piloto': ''},
{'piloto': 'Erick', 'data_nasc': '2/5/90', 'apelido': 'Chia', 'id': 2, 'tam_camisa': '', 'co-piloto': ''},
{'piloto': 'Pedro Balão', 'data_nasc': '5/9/50', 'apelido': 'Balão', 'tam_camisa': 'M', 'co-piloto': 'Dé', 'id': 10},
{'piloto': 'Castro Lubri', 'data_nasc': '04/07/82', 'apelido': 'Lub', 'tam_camisa': 'M', 'co-piloto': 'Lub', 'id': 12},
{'piloto': 'Edson J. Silva', 'data_nasc': '23/04/70', 'apelido': 'Motor', 'id': 7, 'tam_camisa': '', 'co-piloto': ''},
{'piloto': 'Edson Santos', 'data_nasc': '04/04/04', 'apelido': 'Tekn', 'tam_camisa': 'G', 'co-piloto': 'Chia', 'id': 19},
{'piloto': 'Edson Terraz', 'data_nasc': '30/05/99', 'apelido': 'Zica', 'tam_camisa': 'G', 'co-piloto': 'Chia', 'id': 18},
{'piloto': 'Erick', 'data_nasc': '2/5/90', 'apelido': 'Chia', 'id': 2, 'tam_camisa': '', 'co-piloto': ''},
{'piloto': 'Francisco Moura', 'data_nasc': '9/2/10', 'apelido': 'Moura', 'id': 5, 'tam_camisa': '', 'co-piloto': ''},
{'piloto': 'Henrique Chiavelli', 'data_nasc': '4/5/66', 'apelido': 'rick', 'id': 1, 'tam_camisa': '', 'co-piloto': ''},
{'piloto': 'Karina kurts', 'data_nasc': '5/4/94', 'apelido': 'Kurts', 'id': 6, 'tam_camisa': '', 'co-piloto': ''},
{'piloto': 'Lucivanio', 'data_nasc': '5/4/34', 'apelido': 'Luck', 'id': 3, 'tam_camisa': '', 'co-piloto': ''},
{'piloto': 'Pedro Balão', 'data_nasc': '5/9/50', 'apelido': 'Balão', 'tam_camisa': 'M', 'co-piloto': 'Dé', 'id': 10},
{'piloto': 'Penelope Chamosa', 'data_nasc': '04/03/88', 'apelido': 'Mimosa', 'tam_camisa': 'P', 'co-piloto': 'Bob', 'id': 15},
{'piloto': 'Penelope Charmosa', 'data_nasc': '04/03/84', 'apelido': 'Machado', 'tam_camisa': 'XG', 'co-piloto': 'Urso', 'id': 20},
{'piloto': 'Petronio Petrus', 'data_nasc': '05/09/70', 'apelido': 'Petro', 'tam_camisa': 'G', 'co-piloto': 'Karlas', 'id': 13},
{'piloto': 'Professor Pardal', 'data_nasc': '09/02/70', 'apelido': 'Prof, Maluco', 'tam_camisa': 'M', 'co-piloto': '', 'id': 16},
{'piloto': 'Sandra Chiavelli', 'data_nasc': '03/5/69', 'apelido': 'Sandrinha', 'tam_camisa': 'P', 'co-piloto': 'Edson', 'id': 11},
{'piloto': 'Wills Roads', 'data_nasc': '05/03/81', 'apelido': 'Roads', 'tam_camisa': 'P', 'co-piloto': 'Treta', 'id': 14},
{'piloto': 'Zerado', 'data_nasc': '3/5/89', 'apelido': 'Purks', 'tam_camisa': 'G', 'co-piloto': 'Zero', 'id': 8},
{'piloto': 'Henrique Chiavelli', 'data_nasc': '4/5/66', 'apelido': 'rick', 'id': 1, 'tam_camisa': '', 'co-piloto': ''}]]
chave = input(print('Chaves disponiveie: ',cadastro[1][0].keys(),
'\nEscolha uma a chave para procurar as Duplicatas: ') )
for i in range(len(cadastro[1])):
for j in range(len(cadastro[1])):
if cadastro[1][i]['piloto'] == cadastro[1][j]['piloto'] and i != j:
print( i ,' - ' ,'i:',i,cadastro[1][i]['id'],':',cadastro[1][i]['piloto'],
'\t','j:',j,cadastro[1][j]['id'],':',cadastro[1][j]['piloto'])
| 115.714286 | 150 | 0.492063 | 700 | 5,670 | 3.88 | 0.181429 | 0.108984 | 0.060751 | 0.093888 | 0.908321 | 0.888071 | 0.888071 | 0.888071 | 0.888071 | 0.888071 | 0 | 0.058433 | 0.230335 | 5,670 | 48 | 151 | 118.125 | 0.563932 | 0 | 0 | 0.772727 | 0 | 0 | 0.488612 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.045455 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
7735e4e5773e846bb264b939335a5d4475325eb8 | 219 | py | Python | mqbench/nn/intrinsic/modules/__init__.py | ModelTC/MQBench | bbf54367180a9e5e5ce37efcd7b8d7ebb5b926eb | [
"Apache-2.0"
] | 179 | 2021-09-22T08:44:51.000Z | 2022-03-31T08:09:43.000Z | mqbench/nn/intrinsic/modules/__init__.py | ModelTC/MQBench | bbf54367180a9e5e5ce37efcd7b8d7ebb5b926eb | [
"Apache-2.0"
] | 46 | 2021-09-29T03:04:30.000Z | 2022-03-31T11:53:23.000Z | mqbench/nn/intrinsic/modules/__init__.py | ModelTC/MQBench | bbf54367180a9e5e5ce37efcd7b8d7ebb5b926eb | [
"Apache-2.0"
] | 42 | 2021-09-24T16:08:26.000Z | 2022-03-30T10:21:34.000Z | from .fused import LinearBn1d, ConvTransposeBn2d, ConvTransposeReLU2d, ConvTransposeBnReLU2d, ConvBnReLU2d, ConvBn2d, ConvReLU2d, ConvFreezebn2d, ConvFreezebnReLU2d, ConvTransposeFreezebn2d, ConvTransposeFreezebnReLU2d
| 109.5 | 218 | 0.885845 | 14 | 219 | 13.857143 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.053659 | 0.063927 | 219 | 1 | 219 | 219 | 0.892683 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
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