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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
77087ac39914ffbad3c07ff59b502e63716b0a70 | 186 | py | Python | stacs/scan/output/__init__.py | H1d3r/stacs | bc6063a0973655ff14627fc4b23a187faac12c88 | [
"BSD-3-Clause"
] | 60 | 2021-08-18T22:53:59.000Z | 2022-03-26T23:14:47.000Z | stacs/scan/output/__init__.py | H1d3r/stacs | bc6063a0973655ff14627fc4b23a187faac12c88 | [
"BSD-3-Clause"
] | 4 | 2021-08-29T16:35:04.000Z | 2022-03-09T21:23:27.000Z | stacs/scan/output/__init__.py | H1d3r/stacs | bc6063a0973655ff14627fc4b23a187faac12c88 | [
"BSD-3-Clause"
] | 13 | 2021-08-18T23:08:15.000Z | 2022-03-25T08:05:33.000Z | """Defines outputs supported by STACS.
SPDX-License-Identifier: BSD-3-Clause
"""
from stacs.scan.output import markdown # noqa: F401
from stacs.scan.output import sarif # noqa: F401
| 23.25 | 52 | 0.752688 | 27 | 186 | 5.185185 | 0.703704 | 0.128571 | 0.185714 | 0.271429 | 0.357143 | 0 | 0 | 0 | 0 | 0 | 0 | 0.04375 | 0.139785 | 186 | 7 | 53 | 26.571429 | 0.83125 | 0.521505 | 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 |
7726361c7407ca91017c86577699eb62a8db86db | 127 | py | Python | gbmgeometry/utils/plotting/__init__.py | drJfunk/gbmgeometry | ca11005c349546ed962bb1bbc4f66d8022ea79a1 | [
"MIT"
] | 4 | 2019-10-31T06:28:13.000Z | 2020-03-28T14:31:07.000Z | gbmgeometry/utils/plotting/__init__.py | drJfunk/gbmgeometry | ca11005c349546ed962bb1bbc4f66d8022ea79a1 | [
"MIT"
] | 4 | 2020-03-04T16:16:39.000Z | 2020-04-08T11:28:03.000Z | gbmgeometry/utils/plotting/__init__.py | drJfunk/gbmgeometry | ca11005c349546ed962bb1bbc4f66d8022ea79a1 | [
"MIT"
] | 7 | 2017-10-26T09:32:37.000Z | 2022-03-21T16:32:20.000Z | from gbmgeometry.utils.plotting.spherical_circle import SphericalCircle
from gbmgeometry.utils.plotting.skyplot import skyplot
| 42.333333 | 71 | 0.889764 | 15 | 127 | 7.466667 | 0.6 | 0.267857 | 0.357143 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.062992 | 127 | 2 | 72 | 63.5 | 0.941176 | 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 | 0 | 0 | 0 | 7 |
7748fbeab08ac5318541452bd346acb374acb489 | 20,616 | py | Python | sdk/python/pulumi_rabbitmq/binding.py | pulumi/pulumi-rabbitmq | f380f679fa512a40106ac1ae0d8bbf1766ff4ecf | [
"ECL-2.0",
"Apache-2.0"
] | 3 | 2020-04-14T15:37:05.000Z | 2021-12-01T20:57:40.000Z | sdk/python/pulumi_rabbitmq/binding.py | pulumi/pulumi-rabbitmq | f380f679fa512a40106ac1ae0d8bbf1766ff4ecf | [
"ECL-2.0",
"Apache-2.0"
] | 25 | 2019-12-06T13:36:32.000Z | 2022-03-31T15:41:19.000Z | sdk/python/pulumi_rabbitmq/binding.py | pulumi/pulumi-rabbitmq | f380f679fa512a40106ac1ae0d8bbf1766ff4ecf | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # 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__ = ['BindingArgs', 'Binding']
@pulumi.input_type
class BindingArgs:
def __init__(__self__, *,
destination: pulumi.Input[str],
destination_type: pulumi.Input[str],
source: pulumi.Input[str],
vhost: pulumi.Input[str],
arguments: Optional[pulumi.Input[Mapping[str, Any]]] = None,
arguments_json: Optional[pulumi.Input[str]] = None,
routing_key: Optional[pulumi.Input[str]] = None):
"""
The set of arguments for constructing a Binding resource.
:param pulumi.Input[str] destination: The destination queue or exchange.
:param pulumi.Input[str] destination_type: The type of destination (queue or exchange).
:param pulumi.Input[str] source: The source exchange.
:param pulumi.Input[str] vhost: The vhost to create the resource in.
:param pulumi.Input[Mapping[str, Any]] arguments: Additional key/value arguments for the binding.
:param pulumi.Input[str] routing_key: A routing key for the binding.
"""
pulumi.set(__self__, "destination", destination)
pulumi.set(__self__, "destination_type", destination_type)
pulumi.set(__self__, "source", source)
pulumi.set(__self__, "vhost", vhost)
if arguments is not None:
pulumi.set(__self__, "arguments", arguments)
if arguments_json is not None:
pulumi.set(__self__, "arguments_json", arguments_json)
if routing_key is not None:
pulumi.set(__self__, "routing_key", routing_key)
@property
@pulumi.getter
def destination(self) -> pulumi.Input[str]:
"""
The destination queue or exchange.
"""
return pulumi.get(self, "destination")
@destination.setter
def destination(self, value: pulumi.Input[str]):
pulumi.set(self, "destination", value)
@property
@pulumi.getter(name="destinationType")
def destination_type(self) -> pulumi.Input[str]:
"""
The type of destination (queue or exchange).
"""
return pulumi.get(self, "destination_type")
@destination_type.setter
def destination_type(self, value: pulumi.Input[str]):
pulumi.set(self, "destination_type", value)
@property
@pulumi.getter
def source(self) -> pulumi.Input[str]:
"""
The source exchange.
"""
return pulumi.get(self, "source")
@source.setter
def source(self, value: pulumi.Input[str]):
pulumi.set(self, "source", value)
@property
@pulumi.getter
def vhost(self) -> pulumi.Input[str]:
"""
The vhost to create the resource in.
"""
return pulumi.get(self, "vhost")
@vhost.setter
def vhost(self, value: pulumi.Input[str]):
pulumi.set(self, "vhost", value)
@property
@pulumi.getter
def arguments(self) -> Optional[pulumi.Input[Mapping[str, Any]]]:
"""
Additional key/value arguments for the binding.
"""
return pulumi.get(self, "arguments")
@arguments.setter
def arguments(self, value: Optional[pulumi.Input[Mapping[str, Any]]]):
pulumi.set(self, "arguments", value)
@property
@pulumi.getter(name="argumentsJson")
def arguments_json(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "arguments_json")
@arguments_json.setter
def arguments_json(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "arguments_json", value)
@property
@pulumi.getter(name="routingKey")
def routing_key(self) -> Optional[pulumi.Input[str]]:
"""
A routing key for the binding.
"""
return pulumi.get(self, "routing_key")
@routing_key.setter
def routing_key(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "routing_key", value)
@pulumi.input_type
class _BindingState:
def __init__(__self__, *,
arguments: Optional[pulumi.Input[Mapping[str, Any]]] = None,
arguments_json: Optional[pulumi.Input[str]] = None,
destination: Optional[pulumi.Input[str]] = None,
destination_type: Optional[pulumi.Input[str]] = None,
properties_key: Optional[pulumi.Input[str]] = None,
routing_key: Optional[pulumi.Input[str]] = None,
source: Optional[pulumi.Input[str]] = None,
vhost: Optional[pulumi.Input[str]] = None):
"""
Input properties used for looking up and filtering Binding resources.
:param pulumi.Input[Mapping[str, Any]] arguments: Additional key/value arguments for the binding.
:param pulumi.Input[str] destination: The destination queue or exchange.
:param pulumi.Input[str] destination_type: The type of destination (queue or exchange).
:param pulumi.Input[str] properties_key: A unique key to refer to the binding.
:param pulumi.Input[str] routing_key: A routing key for the binding.
:param pulumi.Input[str] source: The source exchange.
:param pulumi.Input[str] vhost: The vhost to create the resource in.
"""
if arguments is not None:
pulumi.set(__self__, "arguments", arguments)
if arguments_json is not None:
pulumi.set(__self__, "arguments_json", arguments_json)
if destination is not None:
pulumi.set(__self__, "destination", destination)
if destination_type is not None:
pulumi.set(__self__, "destination_type", destination_type)
if properties_key is not None:
pulumi.set(__self__, "properties_key", properties_key)
if routing_key is not None:
pulumi.set(__self__, "routing_key", routing_key)
if source is not None:
pulumi.set(__self__, "source", source)
if vhost is not None:
pulumi.set(__self__, "vhost", vhost)
@property
@pulumi.getter
def arguments(self) -> Optional[pulumi.Input[Mapping[str, Any]]]:
"""
Additional key/value arguments for the binding.
"""
return pulumi.get(self, "arguments")
@arguments.setter
def arguments(self, value: Optional[pulumi.Input[Mapping[str, Any]]]):
pulumi.set(self, "arguments", value)
@property
@pulumi.getter(name="argumentsJson")
def arguments_json(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "arguments_json")
@arguments_json.setter
def arguments_json(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "arguments_json", value)
@property
@pulumi.getter
def destination(self) -> Optional[pulumi.Input[str]]:
"""
The destination queue or exchange.
"""
return pulumi.get(self, "destination")
@destination.setter
def destination(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "destination", value)
@property
@pulumi.getter(name="destinationType")
def destination_type(self) -> Optional[pulumi.Input[str]]:
"""
The type of destination (queue or exchange).
"""
return pulumi.get(self, "destination_type")
@destination_type.setter
def destination_type(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "destination_type", value)
@property
@pulumi.getter(name="propertiesKey")
def properties_key(self) -> Optional[pulumi.Input[str]]:
"""
A unique key to refer to the binding.
"""
return pulumi.get(self, "properties_key")
@properties_key.setter
def properties_key(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "properties_key", value)
@property
@pulumi.getter(name="routingKey")
def routing_key(self) -> Optional[pulumi.Input[str]]:
"""
A routing key for the binding.
"""
return pulumi.get(self, "routing_key")
@routing_key.setter
def routing_key(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "routing_key", value)
@property
@pulumi.getter
def source(self) -> Optional[pulumi.Input[str]]:
"""
The source exchange.
"""
return pulumi.get(self, "source")
@source.setter
def source(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "source", value)
@property
@pulumi.getter
def vhost(self) -> Optional[pulumi.Input[str]]:
"""
The vhost to create the resource in.
"""
return pulumi.get(self, "vhost")
@vhost.setter
def vhost(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "vhost", value)
class Binding(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
arguments: Optional[pulumi.Input[Mapping[str, Any]]] = None,
arguments_json: Optional[pulumi.Input[str]] = None,
destination: Optional[pulumi.Input[str]] = None,
destination_type: Optional[pulumi.Input[str]] = None,
routing_key: Optional[pulumi.Input[str]] = None,
source: Optional[pulumi.Input[str]] = None,
vhost: Optional[pulumi.Input[str]] = None,
__props__=None):
"""
The ``Binding`` resource creates and manages a binding relationship
between a queue an exchange.
## Example Usage
```python
import pulumi
import pulumi_rabbitmq as rabbitmq
test_v_host = rabbitmq.VHost("testVHost")
guest = rabbitmq.Permissions("guest",
permissions=rabbitmq.PermissionsPermissionsArgs(
configure=".*",
read=".*",
write=".*",
),
user="guest",
vhost=test_v_host.name)
test_exchange = rabbitmq.Exchange("testExchange",
settings=rabbitmq.ExchangeSettingsArgs(
auto_delete=True,
durable=False,
type="fanout",
),
vhost=guest.vhost)
test_queue = rabbitmq.Queue("testQueue",
settings=rabbitmq.QueueSettingsArgs(
auto_delete=False,
durable=True,
),
vhost=guest.vhost)
test_binding = rabbitmq.Binding("testBinding",
destination=test_queue.name,
destination_type="queue",
routing_key="#",
source=test_exchange.name,
vhost=test_v_host.name)
```
## Import
Bindings can be imported using the `id` which is composed of
`vhost/source/destination/destination_type/properties_key`. E.g.
```sh
$ pulumi import rabbitmq:index/binding:Binding test test/test/test/queue/%23
```
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[Mapping[str, Any]] arguments: Additional key/value arguments for the binding.
:param pulumi.Input[str] destination: The destination queue or exchange.
:param pulumi.Input[str] destination_type: The type of destination (queue or exchange).
:param pulumi.Input[str] routing_key: A routing key for the binding.
:param pulumi.Input[str] source: The source exchange.
:param pulumi.Input[str] vhost: The vhost to create the resource in.
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: BindingArgs,
opts: Optional[pulumi.ResourceOptions] = None):
"""
The ``Binding`` resource creates and manages a binding relationship
between a queue an exchange.
## Example Usage
```python
import pulumi
import pulumi_rabbitmq as rabbitmq
test_v_host = rabbitmq.VHost("testVHost")
guest = rabbitmq.Permissions("guest",
permissions=rabbitmq.PermissionsPermissionsArgs(
configure=".*",
read=".*",
write=".*",
),
user="guest",
vhost=test_v_host.name)
test_exchange = rabbitmq.Exchange("testExchange",
settings=rabbitmq.ExchangeSettingsArgs(
auto_delete=True,
durable=False,
type="fanout",
),
vhost=guest.vhost)
test_queue = rabbitmq.Queue("testQueue",
settings=rabbitmq.QueueSettingsArgs(
auto_delete=False,
durable=True,
),
vhost=guest.vhost)
test_binding = rabbitmq.Binding("testBinding",
destination=test_queue.name,
destination_type="queue",
routing_key="#",
source=test_exchange.name,
vhost=test_v_host.name)
```
## Import
Bindings can be imported using the `id` which is composed of
`vhost/source/destination/destination_type/properties_key`. E.g.
```sh
$ pulumi import rabbitmq:index/binding:Binding test test/test/test/queue/%23
```
:param str resource_name: The name of the resource.
:param BindingArgs 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(BindingArgs, 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,
arguments: Optional[pulumi.Input[Mapping[str, Any]]] = None,
arguments_json: Optional[pulumi.Input[str]] = None,
destination: Optional[pulumi.Input[str]] = None,
destination_type: Optional[pulumi.Input[str]] = None,
routing_key: Optional[pulumi.Input[str]] = None,
source: Optional[pulumi.Input[str]] = None,
vhost: 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__ = BindingArgs.__new__(BindingArgs)
__props__.__dict__["arguments"] = arguments
__props__.__dict__["arguments_json"] = arguments_json
if destination is None and not opts.urn:
raise TypeError("Missing required property 'destination'")
__props__.__dict__["destination"] = destination
if destination_type is None and not opts.urn:
raise TypeError("Missing required property 'destination_type'")
__props__.__dict__["destination_type"] = destination_type
__props__.__dict__["routing_key"] = routing_key
if source is None and not opts.urn:
raise TypeError("Missing required property 'source'")
__props__.__dict__["source"] = source
if vhost is None and not opts.urn:
raise TypeError("Missing required property 'vhost'")
__props__.__dict__["vhost"] = vhost
__props__.__dict__["properties_key"] = None
super(Binding, __self__).__init__(
'rabbitmq:index/binding:Binding',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
arguments: Optional[pulumi.Input[Mapping[str, Any]]] = None,
arguments_json: Optional[pulumi.Input[str]] = None,
destination: Optional[pulumi.Input[str]] = None,
destination_type: Optional[pulumi.Input[str]] = None,
properties_key: Optional[pulumi.Input[str]] = None,
routing_key: Optional[pulumi.Input[str]] = None,
source: Optional[pulumi.Input[str]] = None,
vhost: Optional[pulumi.Input[str]] = None) -> 'Binding':
"""
Get an existing Binding 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[Mapping[str, Any]] arguments: Additional key/value arguments for the binding.
:param pulumi.Input[str] destination: The destination queue or exchange.
:param pulumi.Input[str] destination_type: The type of destination (queue or exchange).
:param pulumi.Input[str] properties_key: A unique key to refer to the binding.
:param pulumi.Input[str] routing_key: A routing key for the binding.
:param pulumi.Input[str] source: The source exchange.
:param pulumi.Input[str] vhost: The vhost to create the resource in.
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _BindingState.__new__(_BindingState)
__props__.__dict__["arguments"] = arguments
__props__.__dict__["arguments_json"] = arguments_json
__props__.__dict__["destination"] = destination
__props__.__dict__["destination_type"] = destination_type
__props__.__dict__["properties_key"] = properties_key
__props__.__dict__["routing_key"] = routing_key
__props__.__dict__["source"] = source
__props__.__dict__["vhost"] = vhost
return Binding(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter
def arguments(self) -> pulumi.Output[Optional[Mapping[str, Any]]]:
"""
Additional key/value arguments for the binding.
"""
return pulumi.get(self, "arguments")
@property
@pulumi.getter(name="argumentsJson")
def arguments_json(self) -> pulumi.Output[Optional[str]]:
return pulumi.get(self, "arguments_json")
@property
@pulumi.getter
def destination(self) -> pulumi.Output[str]:
"""
The destination queue or exchange.
"""
return pulumi.get(self, "destination")
@property
@pulumi.getter(name="destinationType")
def destination_type(self) -> pulumi.Output[str]:
"""
The type of destination (queue or exchange).
"""
return pulumi.get(self, "destination_type")
@property
@pulumi.getter(name="propertiesKey")
def properties_key(self) -> pulumi.Output[str]:
"""
A unique key to refer to the binding.
"""
return pulumi.get(self, "properties_key")
@property
@pulumi.getter(name="routingKey")
def routing_key(self) -> pulumi.Output[Optional[str]]:
"""
A routing key for the binding.
"""
return pulumi.get(self, "routing_key")
@property
@pulumi.getter
def source(self) -> pulumi.Output[str]:
"""
The source exchange.
"""
return pulumi.get(self, "source")
@property
@pulumi.getter
def vhost(self) -> pulumi.Output[str]:
"""
The vhost to create the resource in.
"""
return pulumi.get(self, "vhost")
| 37.966851 | 134 | 0.615638 | 2,255 | 20,616 | 5.417295 | 0.080266 | 0.087344 | 0.093975 | 0.082842 | 0.85388 | 0.819253 | 0.800917 | 0.755648 | 0.739768 | 0.716028 | 0 | 0.000335 | 0.276145 | 20,616 | 542 | 135 | 38.0369 | 0.818267 | 0.293752 | 0 | 0.679715 | 1 | 0 | 0.09448 | 0.002297 | 0 | 0 | 0 | 0 | 0 | 1 | 0.160142 | false | 0.003559 | 0.017794 | 0.010676 | 0.274021 | 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 |
775fb9d8d71cfa43e8e0f5c171dbbf040bf961ee | 152 | py | Python | app/auth/views/index.py | by46/coffee | f12e1e95f12da7e322a432a6386a1147c5549c3b | [
"MIT"
] | null | null | null | app/auth/views/index.py | by46/coffee | f12e1e95f12da7e322a432a6386a1147c5549c3b | [
"MIT"
] | null | null | null | app/auth/views/index.py | by46/coffee | f12e1e95f12da7e322a432a6386a1147c5549c3b | [
"MIT"
] | null | null | null | from flask import render_template
from app.auth import auth
@auth.route('/demo1')
def demo1():
return render_template('auth/demo1.html')
| 16.888889 | 46 | 0.703947 | 21 | 152 | 5 | 0.571429 | 0.266667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.024194 | 0.184211 | 152 | 8 | 47 | 19 | 0.822581 | 0 | 0 | 0 | 0 | 0 | 0.145833 | 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 |
624b1581bd970283dee6a2c6baef0a206136f40c | 2,698 | py | Python | rest_api/bookshop/views.py | JimBob3000/django_rest_framework | 0ea2ef6348286ddc753c29eaa1c119a036fa0b9f | [
"MIT"
] | null | null | null | rest_api/bookshop/views.py | JimBob3000/django_rest_framework | 0ea2ef6348286ddc753c29eaa1c119a036fa0b9f | [
"MIT"
] | null | null | null | rest_api/bookshop/views.py | JimBob3000/django_rest_framework | 0ea2ef6348286ddc753c29eaa1c119a036fa0b9f | [
"MIT"
] | null | null | null | from rest_framework import generics
from rest_framework import mixins
from .models import Book, Author, Publisher
from .serializers import AuthorSerializer, BookSerializer, PublisherSerializer
class AuthorView(
generics.GenericAPIView,
mixins.ListModelMixin,
mixins.CreateModelMixin,
mixins.UpdateModelMixin,
mixins.RetrieveModelMixin,
mixins.DestroyModelMixin):
serializer_class = AuthorSerializer
queryset = Author.objects.all()
lookup_field = 'id'
def get(self, request, id):
return self.retrieve(request)
def post(self, request):
return self.create(request)
def put(self, request, id):
return self.update(request, id)
def delete(self, request, id):
return self.destroy(request, id)
class AuthorsView(
generics.GenericAPIView,
mixins.ListModelMixin):
serializer_class = AuthorSerializer
queryset = Author.objects.all()
def get(self, request):
return self.list(request)
class PublisherView(
generics.GenericAPIView,
mixins.ListModelMixin,
mixins.CreateModelMixin,
mixins.UpdateModelMixin,
mixins.RetrieveModelMixin,
mixins.DestroyModelMixin):
serializer_class = PublisherSerializer
queryset = Publisher.objects.all()
lookup_field = 'id'
def get(self, request, id):
return self.retrieve(request)
def post(self, request):
return self.create(request)
def put(self, request, id):
return self.update(request, id)
def delete(self, request, id):
return self.destroy(request, id)
class PublishersView(
generics.GenericAPIView,
mixins.ListModelMixin):
serializer_class = PublisherSerializer
queryset = Publisher.objects.all()
def get(self, request):
return self.list(request)
class BookView(
generics.GenericAPIView,
mixins.ListModelMixin,
mixins.CreateModelMixin,
mixins.UpdateModelMixin,
mixins.RetrieveModelMixin,
mixins.DestroyModelMixin):
serializer_class = BookSerializer
queryset = Book.objects.all()
lookup_field = 'id'
def get(self, request, id):
return self.retrieve(request)
def post(self, request):
return self.create(request)
def put(self, request, id):
return self.update(request, id)
def delete(self, request, id):
return self.destroy(request, id)
class BooksView(
generics.GenericAPIView,
mixins.ListModelMixin):
serializer_class = BookSerializer
queryset = Book.objects.all()
def get(self, request):
return self.list(request)
| 24.527273 | 78 | 0.67235 | 268 | 2,698 | 6.727612 | 0.175373 | 0.091514 | 0.064892 | 0.094842 | 0.869662 | 0.869662 | 0.799778 | 0.672768 | 0.672768 | 0.672768 | 0 | 0 | 0.242031 | 2,698 | 109 | 79 | 24.752294 | 0.881663 | 0 | 0 | 0.873418 | 0 | 0 | 0.002224 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.189873 | false | 0 | 0.050633 | 0.189873 | 0.696203 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 7 |
6251ea83fe7c10fb708ee29b7fdd70e2c92f35be | 1,301 | py | Python | tests/charger_test.py | ltowarek/arinna | 20fc3f028af9bbb7f98c3390fa94fb6e6f0c10c2 | [
"MIT"
] | null | null | null | tests/charger_test.py | ltowarek/arinna | 20fc3f028af9bbb7f98c3390fa94fb6e6f0c10c2 | [
"MIT"
] | 2 | 2021-03-25T21:58:09.000Z | 2021-03-28T07:48:59.000Z | tests/charger_test.py | ltowarek/arinna | 20fc3f028af9bbb7f98c3390fa94fb6e6f0c10c2 | [
"MIT"
] | null | null | null | from datetime import time
from arinna.charger import ChargingManager
def test_charging_manager_is_in_cheap_day_rate():
assert False is ChargingManager.is_in_cheap_day_rate(time(12, 59))
assert True is ChargingManager.is_in_cheap_day_rate(time(13, 0))
assert True is ChargingManager.is_in_cheap_day_rate(time(14, 0))
assert True is ChargingManager.is_in_cheap_day_rate(time(14, 59))
assert False is ChargingManager.is_in_cheap_day_rate(time(15, 0))
def test_charging_manager_is_in_cheap_night_rate():
assert False is ChargingManager.is_in_cheap_night_rate(time(21, 59))
assert True is ChargingManager.is_in_cheap_night_rate(time(22, 0))
assert True is ChargingManager.is_in_cheap_night_rate(time(23, 0))
assert True is ChargingManager.is_in_cheap_night_rate(time(0, 0))
assert True is ChargingManager.is_in_cheap_night_rate(time(1, 0))
assert True is ChargingManager.is_in_cheap_night_rate(time(2, 0))
assert True is ChargingManager.is_in_cheap_night_rate(time(3, 0))
assert True is ChargingManager.is_in_cheap_night_rate(time(4, 0))
assert True is ChargingManager.is_in_cheap_night_rate(time(5, 0))
assert True is ChargingManager.is_in_cheap_night_rate(time(5, 59))
assert False is ChargingManager.is_in_cheap_night_rate(time(6, 0))
| 52.04 | 72 | 0.797848 | 219 | 1,301 | 4.383562 | 0.159817 | 0.075 | 0.16875 | 0.35 | 0.916667 | 0.908333 | 0.908333 | 0.84375 | 0.827083 | 0.827083 | 0 | 0.038563 | 0.122982 | 1,301 | 24 | 73 | 54.208333 | 0.802805 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.8 | 1 | 0.1 | true | 0 | 0.1 | 0 | 0.2 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
6272d2bab2d6724950c2a2ee072c31e12c97865a | 5,617 | py | Python | d7a/alp/test/command_factory.py | christophevg/pyd7a | a785b50c1853988ae6770b94f12422b21a088523 | [
"Apache-2.0"
] | 3 | 2017-03-14T15:32:02.000Z | 2021-08-15T18:17:42.000Z | d7a/alp/test/command_factory.py | christophevg/pyd7a | a785b50c1853988ae6770b94f12422b21a088523 | [
"Apache-2.0"
] | null | null | null | d7a/alp/test/command_factory.py | christophevg/pyd7a | a785b50c1853988ae6770b94f12422b21a088523 | [
"Apache-2.0"
] | 1 | 2015-11-24T08:00:14.000Z | 2015-11-24T08:00:14.000Z | import unittest
import binascii
from d7a.alp.command import Command
from d7a.alp.interface import InterfaceType
from d7a.alp.operands.file import DataRequest, Offset, Data
from d7a.alp.operands.interface_configuration import InterfaceConfiguration
from d7a.alp.operations.forward import Forward
from d7a.alp.operations.requests import ReadFileData
from d7a.alp.operations.responses import ReturnFileData
from d7a.alp.operations.write_operations import WriteFileData
from d7a.alp.regular_action import RegularAction
from d7a.sp.configuration import Configuration
class TestCommandFactory(unittest.TestCase):
def test_create_with_read_file_action(self):
c = Command.create_with_read_file_action(file_id=1, length=10)
self.assertEqual(len(c.actions), 1)
self.assertEqual(type(c.actions[0]), RegularAction)
self.assertEqual(type(c.actions[0].operation), ReadFileData)
self.assertEqual(type(c.actions[0].operand), DataRequest)
self.assertEqual(c.actions[0].operand.offset.id, 1)
self.assertEqual(c.actions[0].operand.offset.size, 1)
self.assertEqual(c.actions[0].operand.offset.offset, 0)
self.assertEqual(c.actions[0].operand.length, 10)
def test_create_with_write_file_action(self):
data = [0, 1, 2, 3, 4, 5]
c = Command.create_with_write_file_action(file_id=1, data=data)
self.assertEqual(len(c.actions), 1)
self.assertEqual(type(c.actions[0]), RegularAction)
self.assertEqual(type(c.actions[0].operation), WriteFileData)
self.assertEqual(type(c.actions[0].operand), Data)
self.assertEqual(c.actions[0].operand.offset.id, 1)
self.assertEqual(c.actions[0].operand.offset.size, 1)
self.assertEqual(c.actions[0].operand.offset.offset, 0)
self.assertEqual(c.actions[0].operand.length, 6)
self.assertEqual(c.actions[0].operand.data, data)
def test_create_with_return_file_data_action(self):
data = [ 1 ]
c = Command.create_with_return_file_data_action(file_id=0x40, data=data)
self.assertEqual(len(c.actions), 1)
self.assertEqual(type(c.actions[0]), RegularAction)
self.assertEqual(type(c.actions[0].operation), ReturnFileData)
self.assertEqual(type(c.actions[0].operand), Data)
self.assertEqual(c.actions[0].operand.offset.id, 0x40)
self.assertEqual(c.actions[0].operand.offset.size, 1)
self.assertEqual(c.actions[0].operand.offset.offset, 0)
self.assertEqual(c.actions[0].operand.length, 1)
self.assertEqual(c.actions[0].operand.data, data)
def test_create_with_read_file_action_d7asp(self):
c = Command.create_with_read_file_action(file_id=1, length=10, interface_type=InterfaceType.D7ASP)
self.assertEqual(len(c.actions), 2)
self.assertEqual(type(c.actions[0]), RegularAction)
self.assertEqual(type(c.actions[0].operation), Forward)
self.assertEqual(type(c.actions[0].operand), InterfaceConfiguration)
self.assertEqual(c.actions[0].operand.interface_id, 0xD7)
self.assertEqual(type(c.actions[0].operand.interface_configuration), Configuration)
# TODO configuration properties
self.assertEqual(type(c.actions[1].operation), ReadFileData)
self.assertEqual(type(c.actions[1].operand), DataRequest)
self.assertEqual(type(c.actions[1]), RegularAction)
self.assertEqual(type(c.actions[1].operation), ReadFileData)
self.assertEqual(type(c.actions[1].operand), DataRequest)
self.assertEqual(c.actions[1].operand.offset.id, 1)
self.assertEqual(c.actions[1].operand.offset.size, 1)
self.assertEqual(c.actions[1].operand.offset.offset, 0)
self.assertEqual(c.actions[1].operand.length, 10)
def test_create_with_write_file_action_d7asp(self):
data = [0, 1, 2, 3, 4, 5]
c = Command.create_with_write_file_action(file_id=1, data=data, interface_type=InterfaceType.D7ASP)
self.assertEqual(len(c.actions), 2)
self.assertEqual(type(c.actions[0]), RegularAction)
self.assertEqual(type(c.actions[0].operation), Forward)
self.assertEqual(type(c.actions[0].operand), InterfaceConfiguration)
self.assertEqual(c.actions[0].operand.interface_id, 0xD7)
self.assertEqual(type(c.actions[0].operand.interface_configuration), Configuration)
# TODO configuration properties
self.assertEqual(type(c.actions[1].operation), WriteFileData)
self.assertEqual(type(c.actions[1].operand), Data)
self.assertEqual(c.actions[1].operand.offset.id, 1)
self.assertEqual(c.actions[1].operand.offset.size, 1)
self.assertEqual(c.actions[1].operand.offset.offset, 0)
self.assertEqual(c.actions[1].operand.length, 6)
self.assertEqual(c.actions[1].operand.data, data)
def test_create_with_return_file_data_action_d7asp(self):
data = [1]
c = Command.create_with_return_file_data_action(file_id=0x40, data=data, interface_type=InterfaceType.D7ASP)
self.assertEqual(len(c.actions), 2)
self.assertEqual(type(c.actions[0]), RegularAction)
self.assertEqual(type(c.actions[0].operation), Forward)
self.assertEqual(type(c.actions[0].operand), InterfaceConfiguration)
self.assertEqual(c.actions[0].operand.interface_id, 0xD7)
self.assertEqual(type(c.actions[0].operand.interface_configuration), Configuration)
self.assertEqual(type(c.actions[1]), RegularAction)
self.assertEqual(type(c.actions[1].operation), ReturnFileData)
self.assertEqual(type(c.actions[1].operand), Data)
self.assertEqual(c.actions[1].operand.offset.id, 0x40)
self.assertEqual(c.actions[1].operand.offset.size, 1)
self.assertEqual(c.actions[1].operand.offset.offset, 0)
self.assertEqual(c.actions[1].operand.length, 1)
self.assertEqual(c.actions[1].operand.data, data)
| 52.009259 | 112 | 0.757166 | 793 | 5,617 | 5.263556 | 0.076923 | 0.24437 | 0.081936 | 0.148539 | 0.870867 | 0.870867 | 0.868232 | 0.832295 | 0.815285 | 0.815285 | 0 | 0.02947 | 0.105928 | 5,617 | 107 | 113 | 52.495327 | 0.801673 | 0.010504 | 0 | 0.597938 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005041 | 0.009346 | 0.701031 | 1 | 0.061856 | false | 0 | 0.123711 | 0 | 0.195876 | 0 | 0 | 0 | 0 | null | 1 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
656781ee9577d8d3e4500cad3c8580d1f5b156f7 | 5,968 | py | Python | abelfunctions/riemann_theta/tests/test_radius.py | RParini/abelfunctions | 9263cd865e33cbd3ff4ffc1d59c14d77ff27f155 | [
"MIT"
] | 15 | 2016-03-22T14:08:44.000Z | 2022-03-04T18:35:49.000Z | abelfunctions/riemann_theta/tests/test_radius.py | RParini/abelfunctions | 9263cd865e33cbd3ff4ffc1d59c14d77ff27f155 | [
"MIT"
] | 101 | 2016-02-25T21:59:50.000Z | 2021-06-26T11:05:29.000Z | abelfunctions/riemann_theta/tests/test_radius.py | RParini/abelfunctions | 9263cd865e33cbd3ff4ffc1d59c14d77ff27f155 | [
"MIT"
] | 9 | 2016-03-22T13:27:41.000Z | 2021-03-15T01:05:31.000Z | import unittest
import numpy
from abelfunctions.riemann_theta.radius import (
radius,
radius0,
radius1,
radius2,
radiusN,
)
class TestRadiusN(unittest.TestCase):
def test_vs_radius1_1e8(self):
# genus 3 example
z = numpy.array([0.2+0.5j, 0.3-0.1j, -0.1+0.2j], dtype=numpy.complex)
T = numpy.diag([1,2,3]) + numpy.diag([4,5], k=1) + numpy.diag([6], k=2)
rho = 0.9 # any rho is fine
eps = 1e-8
deriv = [1,0,0]
R1 = radius1(eps, rho, 3, T, deriv)
R2 = radiusN(eps, rho, 3, T, [deriv])
self.assertAlmostEqual(R1, R2)
deriv = [0,1,0]
R1 = radius1(eps, rho, 3, T, deriv)
R2 = radiusN(eps, rho, 3, T, [deriv])
self.assertAlmostEqual(R1, R2)
deriv = [0,0,1]
R1 = radius1(eps, rho, 3, T, deriv)
R2 = radiusN(eps, rho, 3, T, [deriv])
self.assertAlmostEqual(R1, R2)
deriv = [0.1 + 0.2j, 0.3+0.4j, 0.5+0.6j]
R1 = radius1(eps, rho, 3, T, deriv)
R2 = radiusN(eps, rho, 3, T, [deriv])
self.assertAlmostEqual(R1, R2)
def test_vs_radius1_1e14(self):
# genus 3 example
z = numpy.array([0.2+0.5j, 0.3-0.1j, -0.1+0.2j], dtype=numpy.complex)
T = numpy.diag([1,2,3]) + numpy.diag([4,5], k=1) + numpy.diag([6], k=2)
rho = 0.9 # any rho is fine
eps = 1e-14
deriv = [1,0,0]
R1 = radius1(eps, rho, 3, T, deriv)
R2 = radiusN(eps, rho, 3, T, [deriv])
self.assertAlmostEqual(R1, R2)
deriv = [0,1,0]
R1 = radius1(eps, rho, 3, T, deriv)
R2 = radiusN(eps, rho, 3, T, [deriv])
self.assertAlmostEqual(R1, R2)
deriv = [0,0,1]
R1 = radius1(eps, rho, 3, T, deriv)
R2 = radiusN(eps, rho, 3, T, [deriv])
self.assertAlmostEqual(R1, R2)
deriv = [0.1 + 0.2j, 0.3+0.4j, 0.5+0.6j]
R1 = radius1(eps, rho, 3, T, deriv)
R2 = radiusN(eps, rho, 3, T, [deriv])
self.assertAlmostEqual(R1, R2)
def test_vs_radius2_1e8(self):
# genus 3 example
z = numpy.array([0.2+0.5j, 0.3-0.1j, -0.1+0.2j], dtype=numpy.complex)
T = numpy.diag([1,2,3]) + numpy.diag([4,5], k=1) + numpy.diag([6], k=2)
rho = 0.9 # any rho is fine
eps = 1e-8
deriv = [[1,0,0], [1,0,0]]
R1 = radius2(eps, rho, 3, T, deriv)
R2 = radiusN(eps, rho, 3, T, deriv)
self.assertAlmostEqual(R1, R2)
deriv = [[0,1,0], [1,0,0]]
R1 = radius2(eps, rho, 3, T, deriv)
R2 = radiusN(eps, rho, 3, T, deriv)
self.assertAlmostEqual(R1, R2)
deriv = [[0,0,1], [1,0,0]]
R1 = radius2(eps, rho, 3, T, deriv)
R2 = radiusN(eps, rho, 3, T, deriv)
self.assertAlmostEqual(R1, R2)
deriv = [[1,0,0], [0,1,0]]
R1 = radius2(eps, rho, 3, T, deriv)
R2 = radiusN(eps, rho, 3, T, deriv)
self.assertAlmostEqual(R1, R2)
deriv = [[0,1,0], [0,1,0]]
R1 = radius2(eps, rho, 3, T, deriv)
R2 = radiusN(eps, rho, 3, T, deriv)
self.assertAlmostEqual(R1, R2)
deriv = [[0,0,1], [0,1,0]]
R1 = radius2(eps, rho, 3, T, deriv)
R2 = radiusN(eps, rho, 3, T, deriv)
self.assertAlmostEqual(R1, R2)
deriv = [[1,0,0], [0,0,1]]
R1 = radius2(eps, rho, 3, T, deriv)
R2 = radiusN(eps, rho, 3, T, deriv)
self.assertAlmostEqual(R1, R2)
deriv = [[0,1,0], [0,0,1]]
R1 = radius2(eps, rho, 3, T, deriv)
R2 = radiusN(eps, rho, 3, T, deriv)
self.assertAlmostEqual(R1, R2)
deriv = [[0,0,1], [0,0,1]]
R1 = radius2(eps, rho, 3, T, deriv)
R2 = radiusN(eps, rho, 3, T, deriv)
self.assertAlmostEqual(R1, R2)
deriv = [[0.1 + 0.2j, 0.3+0.4j, 0.5+0.6j],
[0.7 + 0.8j, 0.9+1.0j, 1.1+1.2j]]
R1 = radius2(eps, rho, 3, T, deriv)
R2 = radiusN(eps, rho, 3, T, deriv)
self.assertAlmostEqual(R1, R2)
def test_vs_radius2_1e14(self):
# genus 3 example
z = numpy.array([0.2+0.5j, 0.3-0.1j, -0.1+0.2j], dtype=numpy.complex)
T = numpy.diag([1,2,3]) + numpy.diag([4,5], k=1) + numpy.diag([6], k=2)
rho = 0.9 # any rho is fine
eps = 1e-14
deriv = [[1,0,0], [1,0,0]]
R1 = radius2(eps, rho, 3, T, deriv)
R2 = radiusN(eps, rho, 3, T, deriv)
self.assertAlmostEqual(R1, R2)
deriv = [[0,1,0], [1,0,0]]
R1 = radius2(eps, rho, 3, T, deriv)
R2 = radiusN(eps, rho, 3, T, deriv)
self.assertAlmostEqual(R1, R2)
deriv = [[0,0,1], [1,0,0]]
R1 = radius2(eps, rho, 3, T, deriv)
R2 = radiusN(eps, rho, 3, T, deriv)
self.assertAlmostEqual(R1, R2)
deriv = [[1,0,0], [0,1,0]]
R1 = radius2(eps, rho, 3, T, deriv)
R2 = radiusN(eps, rho, 3, T, deriv)
self.assertAlmostEqual(R1, R2)
deriv = [[0,1,0], [0,1,0]]
R1 = radius2(eps, rho, 3, T, deriv)
R2 = radiusN(eps, rho, 3, T, deriv)
self.assertAlmostEqual(R1, R2)
deriv = [[0,0,1], [0,1,0]]
R1 = radius2(eps, rho, 3, T, deriv)
R2 = radiusN(eps, rho, 3, T, deriv)
self.assertAlmostEqual(R1, R2)
deriv = [[1,0,0], [0,0,1]]
R1 = radius2(eps, rho, 3, T, deriv)
R2 = radiusN(eps, rho, 3, T, deriv)
self.assertAlmostEqual(R1, R2)
deriv = [[0,1,0], [0,0,1]]
R1 = radius2(eps, rho, 3, T, deriv)
R2 = radiusN(eps, rho, 3, T, deriv)
self.assertAlmostEqual(R1, R2)
deriv = [[0,0,1], [0,0,1]]
R1 = radius2(eps, rho, 3, T, deriv)
R2 = radiusN(eps, rho, 3, T, deriv)
self.assertAlmostEqual(R1, R2)
deriv = [[0.1 + 0.2j, 0.3+0.4j, 0.5+0.6j],
[0.7 + 0.8j, 0.9+1.0j, 1.1+1.2j]]
R1 = radius2(eps, rho, 3, T, deriv)
R2 = radiusN(eps, rho, 3, T, deriv)
self.assertAlmostEqual(R1, R2)
| 32.612022 | 79 | 0.502178 | 965 | 5,968 | 3.092228 | 0.060104 | 0.112601 | 0.131367 | 0.150134 | 0.948056 | 0.948056 | 0.948056 | 0.948056 | 0.948056 | 0.948056 | 0 | 0.125612 | 0.315684 | 5,968 | 182 | 80 | 32.791209 | 0.605044 | 0.02128 | 0 | 0.902778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.194444 | 1 | 0.027778 | false | 0 | 0.020833 | 0 | 0.055556 | 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 |
6578e17ba9e6251a15a33e8e805d7a371c22337c | 80,545 | py | Python | boto3_type_annotations_with_docs/boto3_type_annotations/mediaconnect/client.py | cowboygneox/boto3_type_annotations | 450dce1de4e066b939de7eac2ec560ed1a7ddaa2 | [
"MIT"
] | 119 | 2018-12-01T18:20:57.000Z | 2022-02-02T10:31:29.000Z | boto3_type_annotations_with_docs/boto3_type_annotations/mediaconnect/client.py | cowboygneox/boto3_type_annotations | 450dce1de4e066b939de7eac2ec560ed1a7ddaa2 | [
"MIT"
] | 15 | 2018-11-16T00:16:44.000Z | 2021-11-13T03:44:18.000Z | boto3_type_annotations_with_docs/boto3_type_annotations/mediaconnect/client.py | cowboygneox/boto3_type_annotations | 450dce1de4e066b939de7eac2ec560ed1a7ddaa2 | [
"MIT"
] | 11 | 2019-05-06T05:26:51.000Z | 2021-09-28T15:27:59.000Z | from typing import Optional
from botocore.client import BaseClient
from typing import Dict
from botocore.paginate import Paginator
from botocore.waiter import Waiter
from typing import Union
from typing import List
class Client(BaseClient):
def add_flow_outputs(self, FlowArn: str, Outputs: List) -> Dict:
"""
Adds outputs to an existing flow. You can create up to 20 outputs per flow.
See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/mediaconnect-2018-11-14/AddFlowOutputs>`_
**Request Syntax**
::
response = client.add_flow_outputs(
FlowArn='string',
Outputs=[
{
'Description': 'string',
'Destination': 'string',
'Encryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'KeyType': 'static-key',
'RoleArn': 'string',
'SecretArn': 'string'
},
'MaxLatency': 123,
'Name': 'string',
'Port': 123,
'Protocol': 'zixi-push'|'rtp-fec'|'rtp',
'SmoothingLatency': 123,
'StreamId': 'string'
},
]
)
**Response Syntax**
::
{
'FlowArn': 'string',
'Outputs': [
{
'Description': 'string',
'Destination': 'string',
'Encryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'KeyType': 'static-key',
'RoleArn': 'string',
'SecretArn': 'string'
},
'EntitlementArn': 'string',
'MediaLiveInputArn': 'string',
'Name': 'string',
'OutputArn': 'string',
'Port': 123,
'Transport': {
'MaxBitrate': 123,
'MaxLatency': 123,
'Protocol': 'zixi-push'|'rtp-fec'|'rtp',
'SmoothingLatency': 123,
'StreamId': 'string'
}
},
]
}
**Response Structure**
- *(dict) --* AWS Elemental MediaConnect added the outputs successfully.
- **FlowArn** *(string) --* The ARN of the flow that these outputs were added to.
- **Outputs** *(list) --* The details of the newly added outputs.
- *(dict) --* The settings for an output.
- **Description** *(string) --* A description of the output.
- **Destination** *(string) --* The address where you want to send the output.
- **Encryption** *(dict) --* The type of key used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
- **Algorithm** *(string) --* The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
- **KeyType** *(string) --* The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
- **RoleArn** *(string) --* The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
- **SecretArn** *(string) --* The ARN that was assigned to the secret that you created in AWS Secrets Manager to store the encryption key.
- **EntitlementArn** *(string) --* The ARN of the entitlement on the originator''s flow. This value is relevant only on entitled flows.
- **MediaLiveInputArn** *(string) --* The input ARN of the AWS Elemental MediaLive channel. This parameter is relevant only for outputs that were added by creating a MediaLive input.
- **Name** *(string) --* The name of the output. This value must be unique within the current flow.
- **OutputArn** *(string) --* The ARN of the output.
- **Port** *(integer) --* The port to use when content is distributed to this output.
- **Transport** *(dict) --* Attributes related to the transport stream that are used in the output.
- **MaxBitrate** *(integer) --* The smoothing max bitrate for RTP and RTP-FEC streams.
- **MaxLatency** *(integer) --* The maximum latency in milliseconds for Zixi-based streams.
- **Protocol** *(string) --* The protocol that is used by the source or output.
- **SmoothingLatency** *(integer) --* The smoothing latency in milliseconds for RTP and RTP-FEC streams.
- **StreamId** *(string) --* The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.
:type FlowArn: string
:param FlowArn: **[REQUIRED]** The flow that you want to add outputs to.
:type Outputs: list
:param Outputs: **[REQUIRED]** A list of outputs that you want to add.
- *(dict) --* The output that you want to add to this flow.
- **Description** *(string) --* A description of the output. This description appears only on the AWS Elemental MediaConnect console and will not be seen by the end user.
- **Destination** *(string) --* **[REQUIRED]** The IP address from which video will be sent to output destinations.
- **Encryption** *(dict) --* The type of key used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
- **Algorithm** *(string) --* **[REQUIRED]** The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
- **KeyType** *(string) --* The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
- **RoleArn** *(string) --* **[REQUIRED]** The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
- **SecretArn** *(string) --* **[REQUIRED]** The ARN that was assigned to the secret that you created in AWS Secrets Manager to store the encryption key.
- **MaxLatency** *(integer) --* The maximum latency in milliseconds for Zixi-based streams.
- **Name** *(string) --* The name of the output. This value must be unique within the current flow.
- **Port** *(integer) --* **[REQUIRED]** The port to use when content is distributed to this output.
- **Protocol** *(string) --* **[REQUIRED]** The protocol to use for the output.
- **SmoothingLatency** *(integer) --* The smoothing latency in milliseconds for RTP and RTP-FEC streams.
- **StreamId** *(string) --* The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.
:rtype: dict
:returns:
"""
pass
def can_paginate(self, operation_name: str = None):
"""
Check if an operation can be paginated.
:type operation_name: string
:param operation_name: The operation name. This is the same name
as the method name on the client. For example, if the
method name is ``create_foo``, and you\'d normally invoke the
operation as ``client.create_foo(**kwargs)``, if the
``create_foo`` operation can be paginated, you can use the
call ``client.get_paginator(\"create_foo\")``.
:return: ``True`` if the operation can be paginated,
``False`` otherwise.
"""
pass
def create_flow(self, Name: str, Source: Dict, AvailabilityZone: str = None, Entitlements: List = None, Outputs: List = None) -> Dict:
"""
Creates a new flow. The request must include one source. The request optionally can include outputs (up to 20) and entitlements (up to 50).
See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/mediaconnect-2018-11-14/CreateFlow>`_
**Request Syntax**
::
response = client.create_flow(
AvailabilityZone='string',
Entitlements=[
{
'Description': 'string',
'Encryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'KeyType': 'static-key',
'RoleArn': 'string',
'SecretArn': 'string'
},
'Name': 'string',
'Subscribers': [
'string',
]
},
],
Name='string',
Outputs=[
{
'Description': 'string',
'Destination': 'string',
'Encryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'KeyType': 'static-key',
'RoleArn': 'string',
'SecretArn': 'string'
},
'MaxLatency': 123,
'Name': 'string',
'Port': 123,
'Protocol': 'zixi-push'|'rtp-fec'|'rtp',
'SmoothingLatency': 123,
'StreamId': 'string'
},
],
Source={
'Decryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'KeyType': 'static-key',
'RoleArn': 'string',
'SecretArn': 'string'
},
'Description': 'string',
'EntitlementArn': 'string',
'IngestPort': 123,
'MaxBitrate': 123,
'MaxLatency': 123,
'Name': 'string',
'Protocol': 'zixi-push'|'rtp-fec'|'rtp',
'StreamId': 'string',
'WhitelistCidr': 'string'
}
)
**Response Syntax**
::
{
'Flow': {
'AvailabilityZone': 'string',
'Description': 'string',
'EgressIp': 'string',
'Entitlements': [
{
'Description': 'string',
'Encryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'KeyType': 'static-key',
'RoleArn': 'string',
'SecretArn': 'string'
},
'EntitlementArn': 'string',
'Name': 'string',
'Subscribers': [
'string',
]
},
],
'FlowArn': 'string',
'Name': 'string',
'Outputs': [
{
'Description': 'string',
'Destination': 'string',
'Encryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'KeyType': 'static-key',
'RoleArn': 'string',
'SecretArn': 'string'
},
'EntitlementArn': 'string',
'MediaLiveInputArn': 'string',
'Name': 'string',
'OutputArn': 'string',
'Port': 123,
'Transport': {
'MaxBitrate': 123,
'MaxLatency': 123,
'Protocol': 'zixi-push'|'rtp-fec'|'rtp',
'SmoothingLatency': 123,
'StreamId': 'string'
}
},
],
'Source': {
'Decryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'KeyType': 'static-key',
'RoleArn': 'string',
'SecretArn': 'string'
},
'Description': 'string',
'EntitlementArn': 'string',
'IngestIp': 'string',
'IngestPort': 123,
'Name': 'string',
'SourceArn': 'string',
'Transport': {
'MaxBitrate': 123,
'MaxLatency': 123,
'Protocol': 'zixi-push'|'rtp-fec'|'rtp',
'SmoothingLatency': 123,
'StreamId': 'string'
},
'WhitelistCidr': 'string'
},
'Status': 'STANDBY'|'ACTIVE'|'UPDATING'|'DELETING'|'STARTING'|'STOPPING'|'ERROR'
}
}
**Response Structure**
- *(dict) --* AWS Elemental MediaConnect created the new flow successfully.
- **Flow** *(dict) --* The settings for a flow, including its source, outputs, and entitlements.
- **AvailabilityZone** *(string) --* The Availability Zone that you want to create the flow in. These options are limited to the Availability Zones within the current AWS.
- **Description** *(string) --* A description of the flow. This value is not used or seen outside of the current AWS Elemental MediaConnect account.
- **EgressIp** *(string) --* The IP address from which video will be sent to output destinations.
- **Entitlements** *(list) --* The entitlements in this flow.
- *(dict) --* The settings for a flow entitlement.
- **Description** *(string) --* A description of the entitlement.
- **Encryption** *(dict) --* The type of encryption that will be used on the output that is associated with this entitlement.
- **Algorithm** *(string) --* The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
- **KeyType** *(string) --* The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
- **RoleArn** *(string) --* The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
- **SecretArn** *(string) --* The ARN that was assigned to the secret that you created in AWS Secrets Manager to store the encryption key.
- **EntitlementArn** *(string) --* The ARN of the entitlement.
- **Name** *(string) --* The name of the entitlement.
- **Subscribers** *(list) --* The AWS account IDs that you want to share your content with. The receiving accounts (subscribers) will be allowed to create their own flow using your content as the source.
- *(string) --*
- **FlowArn** *(string) --* The Amazon Resource Name (ARN), a unique identifier for any AWS resource, of the flow.
- **Name** *(string) --* The name of the flow.
- **Outputs** *(list) --* The outputs in this flow.
- *(dict) --* The settings for an output.
- **Description** *(string) --* A description of the output.
- **Destination** *(string) --* The address where you want to send the output.
- **Encryption** *(dict) --* The type of key used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
- **Algorithm** *(string) --* The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
- **KeyType** *(string) --* The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
- **RoleArn** *(string) --* The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
- **SecretArn** *(string) --* The ARN that was assigned to the secret that you created in AWS Secrets Manager to store the encryption key.
- **EntitlementArn** *(string) --* The ARN of the entitlement on the originator''s flow. This value is relevant only on entitled flows.
- **MediaLiveInputArn** *(string) --* The input ARN of the AWS Elemental MediaLive channel. This parameter is relevant only for outputs that were added by creating a MediaLive input.
- **Name** *(string) --* The name of the output. This value must be unique within the current flow.
- **OutputArn** *(string) --* The ARN of the output.
- **Port** *(integer) --* The port to use when content is distributed to this output.
- **Transport** *(dict) --* Attributes related to the transport stream that are used in the output.
- **MaxBitrate** *(integer) --* The smoothing max bitrate for RTP and RTP-FEC streams.
- **MaxLatency** *(integer) --* The maximum latency in milliseconds for Zixi-based streams.
- **Protocol** *(string) --* The protocol that is used by the source or output.
- **SmoothingLatency** *(integer) --* The smoothing latency in milliseconds for RTP and RTP-FEC streams.
- **StreamId** *(string) --* The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.
- **Source** *(dict) --* The settings for the source of the flow.
- **Decryption** *(dict) --* The type of encryption that is used on the content ingested from this source.
- **Algorithm** *(string) --* The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
- **KeyType** *(string) --* The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
- **RoleArn** *(string) --* The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
- **SecretArn** *(string) --* The ARN that was assigned to the secret that you created in AWS Secrets Manager to store the encryption key.
- **Description** *(string) --* A description for the source. This value is not used or seen outside of the current AWS Elemental MediaConnect account.
- **EntitlementArn** *(string) --* The ARN of the entitlement that allows you to subscribe to content that comes from another AWS account. The entitlement is set by the content originator and the ARN is generated as part of the originator's flow.
- **IngestIp** *(string) --* The IP address that the flow will be listening on for incoming content.
- **IngestPort** *(integer) --* The port that the flow will be listening on for incoming content.
- **Name** *(string) --* The name of the source.
- **SourceArn** *(string) --* The ARN of the source.
- **Transport** *(dict) --* Attributes related to the transport stream that are used in the source.
- **MaxBitrate** *(integer) --* The smoothing max bitrate for RTP and RTP-FEC streams.
- **MaxLatency** *(integer) --* The maximum latency in milliseconds for Zixi-based streams.
- **Protocol** *(string) --* The protocol that is used by the source or output.
- **SmoothingLatency** *(integer) --* The smoothing latency in milliseconds for RTP and RTP-FEC streams.
- **StreamId** *(string) --* The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.
- **WhitelistCidr** *(string) --* The range of IP addresses that should be allowed to contribute content to your source. These IP addresses should in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
- **Status** *(string) --* The current status of the flow.
:type AvailabilityZone: string
:param AvailabilityZone: The Availability Zone that you want to create the flow in. These options are limited to the Availability Zones within the current AWS Region.
:type Entitlements: list
:param Entitlements: The entitlements that you want to grant on a flow.
- *(dict) --* The entitlements that you want to grant on a flow.
- **Description** *(string) --* A description of the entitlement. This description appears only on the AWS Elemental MediaConnect console and will not be seen by the subscriber or end user.
- **Encryption** *(dict) --* The type of encryption that will be used on the output that is associated with this entitlement.
- **Algorithm** *(string) --* **[REQUIRED]** The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
- **KeyType** *(string) --* The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
- **RoleArn** *(string) --* **[REQUIRED]** The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
- **SecretArn** *(string) --* **[REQUIRED]** The ARN that was assigned to the secret that you created in AWS Secrets Manager to store the encryption key.
- **Name** *(string) --* The name of the entitlement. This value must be unique within the current flow.
- **Subscribers** *(list) --* **[REQUIRED]** The AWS account IDs that you want to share your content with. The receiving accounts (subscribers) will be allowed to create their own flows using your content as the source.
- *(string) --*
:type Name: string
:param Name: **[REQUIRED]** The name of the flow.
:type Outputs: list
:param Outputs: The outputs that you want to add to this flow.
- *(dict) --* The output that you want to add to this flow.
- **Description** *(string) --* A description of the output. This description appears only on the AWS Elemental MediaConnect console and will not be seen by the end user.
- **Destination** *(string) --* **[REQUIRED]** The IP address from which video will be sent to output destinations.
- **Encryption** *(dict) --* The type of key used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
- **Algorithm** *(string) --* **[REQUIRED]** The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
- **KeyType** *(string) --* The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
- **RoleArn** *(string) --* **[REQUIRED]** The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
- **SecretArn** *(string) --* **[REQUIRED]** The ARN that was assigned to the secret that you created in AWS Secrets Manager to store the encryption key.
- **MaxLatency** *(integer) --* The maximum latency in milliseconds for Zixi-based streams.
- **Name** *(string) --* The name of the output. This value must be unique within the current flow.
- **Port** *(integer) --* **[REQUIRED]** The port to use when content is distributed to this output.
- **Protocol** *(string) --* **[REQUIRED]** The protocol to use for the output.
- **SmoothingLatency** *(integer) --* The smoothing latency in milliseconds for RTP and RTP-FEC streams.
- **StreamId** *(string) --* The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.
:type Source: dict
:param Source: **[REQUIRED]** The settings for the source of the flow.
- **Decryption** *(dict) --* The type of encryption that is used on the content ingested from this source.
- **Algorithm** *(string) --* **[REQUIRED]** The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
- **KeyType** *(string) --* The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
- **RoleArn** *(string) --* **[REQUIRED]** The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
- **SecretArn** *(string) --* **[REQUIRED]** The ARN that was assigned to the secret that you created in AWS Secrets Manager to store the encryption key.
- **Description** *(string) --* A description for the source. This value is not used or seen outside of the current AWS Elemental MediaConnect account.
- **EntitlementArn** *(string) --* The ARN of the entitlement that allows you to subscribe to this flow. The entitlement is set by the flow originator, and the ARN is generated as part of the originator\'s flow.
- **IngestPort** *(integer) --* The port that the flow will be listening on for incoming content.
- **MaxBitrate** *(integer) --* The smoothing max bitrate for RTP and RTP-FEC streams.
- **MaxLatency** *(integer) --* The maximum latency in milliseconds for Zixi-based streams.
- **Name** *(string) --* The name of the source.
- **Protocol** *(string) --* The protocol that is used by the source.
- **StreamId** *(string) --* The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.
- **WhitelistCidr** *(string) --* The range of IP addresses that should be allowed to contribute content to your source. These IP addresses should in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
:rtype: dict
:returns:
"""
pass
def delete_flow(self, FlowArn: str) -> Dict:
"""
Deletes a flow. Before you can delete a flow, you must stop the flow.
See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/mediaconnect-2018-11-14/DeleteFlow>`_
**Request Syntax**
::
response = client.delete_flow(
FlowArn='string'
)
**Response Syntax**
::
{
'FlowArn': 'string',
'Status': 'STANDBY'|'ACTIVE'|'UPDATING'|'DELETING'|'STARTING'|'STOPPING'|'ERROR'
}
**Response Structure**
- *(dict) --* AWS Elemental MediaConnect is deleting the flow.
- **FlowArn** *(string) --* The ARN of the flow that was deleted.
- **Status** *(string) --* The status of the flow when the DeleteFlow process begins.
:type FlowArn: string
:param FlowArn: **[REQUIRED]** The ARN of the flow that you want to delete.
:rtype: dict
:returns:
"""
pass
def describe_flow(self, FlowArn: str) -> Dict:
"""
Displays the details of a flow. The response includes the flow ARN, name, and Availability Zone, as well as details about the source, outputs, and entitlements.
See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/mediaconnect-2018-11-14/DescribeFlow>`_
**Request Syntax**
::
response = client.describe_flow(
FlowArn='string'
)
**Response Syntax**
::
{
'Flow': {
'AvailabilityZone': 'string',
'Description': 'string',
'EgressIp': 'string',
'Entitlements': [
{
'Description': 'string',
'Encryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'KeyType': 'static-key',
'RoleArn': 'string',
'SecretArn': 'string'
},
'EntitlementArn': 'string',
'Name': 'string',
'Subscribers': [
'string',
]
},
],
'FlowArn': 'string',
'Name': 'string',
'Outputs': [
{
'Description': 'string',
'Destination': 'string',
'Encryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'KeyType': 'static-key',
'RoleArn': 'string',
'SecretArn': 'string'
},
'EntitlementArn': 'string',
'MediaLiveInputArn': 'string',
'Name': 'string',
'OutputArn': 'string',
'Port': 123,
'Transport': {
'MaxBitrate': 123,
'MaxLatency': 123,
'Protocol': 'zixi-push'|'rtp-fec'|'rtp',
'SmoothingLatency': 123,
'StreamId': 'string'
}
},
],
'Source': {
'Decryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'KeyType': 'static-key',
'RoleArn': 'string',
'SecretArn': 'string'
},
'Description': 'string',
'EntitlementArn': 'string',
'IngestIp': 'string',
'IngestPort': 123,
'Name': 'string',
'SourceArn': 'string',
'Transport': {
'MaxBitrate': 123,
'MaxLatency': 123,
'Protocol': 'zixi-push'|'rtp-fec'|'rtp',
'SmoothingLatency': 123,
'StreamId': 'string'
},
'WhitelistCidr': 'string'
},
'Status': 'STANDBY'|'ACTIVE'|'UPDATING'|'DELETING'|'STARTING'|'STOPPING'|'ERROR'
},
'Messages': {
'Errors': [
'string',
]
}
}
**Response Structure**
- *(dict) --* AWS Elemental MediaConnect returned the flow details successfully.
- **Flow** *(dict) --* The settings for a flow, including its source, outputs, and entitlements.
- **AvailabilityZone** *(string) --* The Availability Zone that you want to create the flow in. These options are limited to the Availability Zones within the current AWS.
- **Description** *(string) --* A description of the flow. This value is not used or seen outside of the current AWS Elemental MediaConnect account.
- **EgressIp** *(string) --* The IP address from which video will be sent to output destinations.
- **Entitlements** *(list) --* The entitlements in this flow.
- *(dict) --* The settings for a flow entitlement.
- **Description** *(string) --* A description of the entitlement.
- **Encryption** *(dict) --* The type of encryption that will be used on the output that is associated with this entitlement.
- **Algorithm** *(string) --* The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
- **KeyType** *(string) --* The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
- **RoleArn** *(string) --* The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
- **SecretArn** *(string) --* The ARN that was assigned to the secret that you created in AWS Secrets Manager to store the encryption key.
- **EntitlementArn** *(string) --* The ARN of the entitlement.
- **Name** *(string) --* The name of the entitlement.
- **Subscribers** *(list) --* The AWS account IDs that you want to share your content with. The receiving accounts (subscribers) will be allowed to create their own flow using your content as the source.
- *(string) --*
- **FlowArn** *(string) --* The Amazon Resource Name (ARN), a unique identifier for any AWS resource, of the flow.
- **Name** *(string) --* The name of the flow.
- **Outputs** *(list) --* The outputs in this flow.
- *(dict) --* The settings for an output.
- **Description** *(string) --* A description of the output.
- **Destination** *(string) --* The address where you want to send the output.
- **Encryption** *(dict) --* The type of key used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
- **Algorithm** *(string) --* The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
- **KeyType** *(string) --* The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
- **RoleArn** *(string) --* The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
- **SecretArn** *(string) --* The ARN that was assigned to the secret that you created in AWS Secrets Manager to store the encryption key.
- **EntitlementArn** *(string) --* The ARN of the entitlement on the originator''s flow. This value is relevant only on entitled flows.
- **MediaLiveInputArn** *(string) --* The input ARN of the AWS Elemental MediaLive channel. This parameter is relevant only for outputs that were added by creating a MediaLive input.
- **Name** *(string) --* The name of the output. This value must be unique within the current flow.
- **OutputArn** *(string) --* The ARN of the output.
- **Port** *(integer) --* The port to use when content is distributed to this output.
- **Transport** *(dict) --* Attributes related to the transport stream that are used in the output.
- **MaxBitrate** *(integer) --* The smoothing max bitrate for RTP and RTP-FEC streams.
- **MaxLatency** *(integer) --* The maximum latency in milliseconds for Zixi-based streams.
- **Protocol** *(string) --* The protocol that is used by the source or output.
- **SmoothingLatency** *(integer) --* The smoothing latency in milliseconds for RTP and RTP-FEC streams.
- **StreamId** *(string) --* The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.
- **Source** *(dict) --* The settings for the source of the flow.
- **Decryption** *(dict) --* The type of encryption that is used on the content ingested from this source.
- **Algorithm** *(string) --* The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
- **KeyType** *(string) --* The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
- **RoleArn** *(string) --* The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
- **SecretArn** *(string) --* The ARN that was assigned to the secret that you created in AWS Secrets Manager to store the encryption key.
- **Description** *(string) --* A description for the source. This value is not used or seen outside of the current AWS Elemental MediaConnect account.
- **EntitlementArn** *(string) --* The ARN of the entitlement that allows you to subscribe to content that comes from another AWS account. The entitlement is set by the content originator and the ARN is generated as part of the originator's flow.
- **IngestIp** *(string) --* The IP address that the flow will be listening on for incoming content.
- **IngestPort** *(integer) --* The port that the flow will be listening on for incoming content.
- **Name** *(string) --* The name of the source.
- **SourceArn** *(string) --* The ARN of the source.
- **Transport** *(dict) --* Attributes related to the transport stream that are used in the source.
- **MaxBitrate** *(integer) --* The smoothing max bitrate for RTP and RTP-FEC streams.
- **MaxLatency** *(integer) --* The maximum latency in milliseconds for Zixi-based streams.
- **Protocol** *(string) --* The protocol that is used by the source or output.
- **SmoothingLatency** *(integer) --* The smoothing latency in milliseconds for RTP and RTP-FEC streams.
- **StreamId** *(string) --* The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.
- **WhitelistCidr** *(string) --* The range of IP addresses that should be allowed to contribute content to your source. These IP addresses should in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
- **Status** *(string) --* The current status of the flow.
- **Messages** *(dict) --* Messages that provide the state of the flow.
- **Errors** *(list) --* A list of errors that might have been generated from processes on this flow.
- *(string) --*
:type FlowArn: string
:param FlowArn: **[REQUIRED]** The ARN of the flow that you want to describe.
:rtype: dict
:returns:
"""
pass
def generate_presigned_url(self, ClientMethod: str = None, Params: Dict = None, ExpiresIn: int = None, HttpMethod: str = None):
"""
Generate a presigned url given a client, its method, and arguments
:type ClientMethod: string
:param ClientMethod: The client method to presign for
:type Params: dict
:param Params: The parameters normally passed to
``ClientMethod``.
:type ExpiresIn: int
:param ExpiresIn: The number of seconds the presigned url is valid
for. By default it expires in an hour (3600 seconds)
:type HttpMethod: string
:param HttpMethod: The http method to use on the generated url. By
default, the http method is whatever is used in the method\'s model.
:returns: The presigned url
"""
pass
def get_paginator(self, operation_name: str = None) -> Paginator:
"""
Create a paginator for an operation.
:type operation_name: string
:param operation_name: The operation name. This is the same name
as the method name on the client. For example, if the
method name is ``create_foo``, and you\'d normally invoke the
operation as ``client.create_foo(**kwargs)``, if the
``create_foo`` operation can be paginated, you can use the
call ``client.get_paginator(\"create_foo\")``.
:raise OperationNotPageableError: Raised if the operation is not
pageable. You can use the ``client.can_paginate`` method to
check if an operation is pageable.
:rtype: L{botocore.paginate.Paginator}
:return: A paginator object.
"""
pass
def get_waiter(self, waiter_name: str = None) -> Waiter:
"""
Returns an object that can wait for some condition.
:type waiter_name: str
:param waiter_name: The name of the waiter to get. See the waiters
section of the service docs for a list of available waiters.
:returns: The specified waiter object.
:rtype: botocore.waiter.Waiter
"""
pass
def grant_flow_entitlements(self, Entitlements: List, FlowArn: str) -> Dict:
"""
Grants entitlements to an existing flow.
See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/mediaconnect-2018-11-14/GrantFlowEntitlements>`_
**Request Syntax**
::
response = client.grant_flow_entitlements(
Entitlements=[
{
'Description': 'string',
'Encryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'KeyType': 'static-key',
'RoleArn': 'string',
'SecretArn': 'string'
},
'Name': 'string',
'Subscribers': [
'string',
]
},
],
FlowArn='string'
)
**Response Syntax**
::
{
'Entitlements': [
{
'Description': 'string',
'Encryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'KeyType': 'static-key',
'RoleArn': 'string',
'SecretArn': 'string'
},
'EntitlementArn': 'string',
'Name': 'string',
'Subscribers': [
'string',
]
},
],
'FlowArn': 'string'
}
**Response Structure**
- *(dict) --* AWS Elemental MediaConnect granted the entitlements successfully.
- **Entitlements** *(list) --* The entitlements that were just granted.
- *(dict) --* The settings for a flow entitlement.
- **Description** *(string) --* A description of the entitlement.
- **Encryption** *(dict) --* The type of encryption that will be used on the output that is associated with this entitlement.
- **Algorithm** *(string) --* The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
- **KeyType** *(string) --* The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
- **RoleArn** *(string) --* The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
- **SecretArn** *(string) --* The ARN that was assigned to the secret that you created in AWS Secrets Manager to store the encryption key.
- **EntitlementArn** *(string) --* The ARN of the entitlement.
- **Name** *(string) --* The name of the entitlement.
- **Subscribers** *(list) --* The AWS account IDs that you want to share your content with. The receiving accounts (subscribers) will be allowed to create their own flow using your content as the source.
- *(string) --*
- **FlowArn** *(string) --* The ARN of the flow that these entitlements were granted to.
:type Entitlements: list
:param Entitlements: **[REQUIRED]** The list of entitlements that you want to grant.
- *(dict) --* The entitlements that you want to grant on a flow.
- **Description** *(string) --* A description of the entitlement. This description appears only on the AWS Elemental MediaConnect console and will not be seen by the subscriber or end user.
- **Encryption** *(dict) --* The type of encryption that will be used on the output that is associated with this entitlement.
- **Algorithm** *(string) --* **[REQUIRED]** The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
- **KeyType** *(string) --* The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
- **RoleArn** *(string) --* **[REQUIRED]** The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
- **SecretArn** *(string) --* **[REQUIRED]** The ARN that was assigned to the secret that you created in AWS Secrets Manager to store the encryption key.
- **Name** *(string) --* The name of the entitlement. This value must be unique within the current flow.
- **Subscribers** *(list) --* **[REQUIRED]** The AWS account IDs that you want to share your content with. The receiving accounts (subscribers) will be allowed to create their own flows using your content as the source.
- *(string) --*
:type FlowArn: string
:param FlowArn: **[REQUIRED]** The flow that you want to grant entitlements on.
:rtype: dict
:returns:
"""
pass
def list_entitlements(self, MaxResults: int = None, NextToken: str = None) -> Dict:
"""
Displays a list of all entitlements that have been granted to this account. This request returns 20 results per page.
See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/mediaconnect-2018-11-14/ListEntitlements>`_
**Request Syntax**
::
response = client.list_entitlements(
MaxResults=123,
NextToken='string'
)
**Response Syntax**
::
{
'Entitlements': [
{
'EntitlementArn': 'string',
'EntitlementName': 'string'
},
],
'NextToken': 'string'
}
**Response Structure**
- *(dict) --* AWS Elemental MediaConnect returned the list of entitlements successfully.
- **Entitlements** *(list) --* A list of entitlements that have been granted to you from other AWS accounts.
- *(dict) --* An entitlement that has been granted to you from other AWS accounts.
- **EntitlementArn** *(string) --* The ARN of the entitlement.
- **EntitlementName** *(string) --* The name of the entitlement.
- **NextToken** *(string) --* The token that identifies which batch of results that you want to see. For example, you submit a ListEntitlements request with MaxResults set at 5. The service returns the first batch of results (up to 5) and a NextToken value. To see the next batch of results, you can submit the ListEntitlements request a second time and specify the NextToken value.
:type MaxResults: integer
:param MaxResults: The maximum number of results to return per API request. For example, you submit a ListEntitlements request with MaxResults set at 5. Although 20 items match your request, the service returns no more than the first 5 items. (The service also returns a NextToken value that you can use to fetch the next batch of results.) The service might return fewer results than the MaxResults value. If MaxResults is not included in the request, the service defaults to pagination with a maximum of 20 results per page.
:type NextToken: string
:param NextToken: The token that identifies which batch of results that you want to see. For example, you submit a ListEntitlements request with MaxResults set at 5. The service returns the first batch of results (up to 5) and a NextToken value. To see the next batch of results, you can submit the ListEntitlements request a second time and specify the NextToken value.
:rtype: dict
:returns:
"""
pass
def list_flows(self, MaxResults: int = None, NextToken: str = None) -> Dict:
"""
Displays a list of flows that are associated with this account. This request returns a paginated result.
See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/mediaconnect-2018-11-14/ListFlows>`_
**Request Syntax**
::
response = client.list_flows(
MaxResults=123,
NextToken='string'
)
**Response Syntax**
::
{
'Flows': [
{
'AvailabilityZone': 'string',
'Description': 'string',
'FlowArn': 'string',
'Name': 'string',
'SourceType': 'OWNED'|'ENTITLED',
'Status': 'STANDBY'|'ACTIVE'|'UPDATING'|'DELETING'|'STARTING'|'STOPPING'|'ERROR'
},
],
'NextToken': 'string'
}
**Response Structure**
- *(dict) --* AWS Elemental MediaConnect returned the list of flows successfully.
- **Flows** *(list) --* A list of flow summaries.
- *(dict) --* Provides a summary of a flow, including its ARN, Availability Zone, and source type.
- **AvailabilityZone** *(string) --* The Availability Zone that the flow was created in.
- **Description** *(string) --* A description of the flow.
- **FlowArn** *(string) --* The ARN of the flow.
- **Name** *(string) --* The name of the flow.
- **SourceType** *(string) --* The type of source. This value is either owned (originated somewhere other than an AWS Elemental MediaConnect flow owned by another AWS account) or entitled (originated at an AWS Elemental MediaConnect flow owned by another AWS account).
- **Status** *(string) --* The current status of the flow.
- **NextToken** *(string) --* The token that identifies which batch of results that you want to see. For example, you submit a ListFlows request with MaxResults set at 5. The service returns the first batch of results (up to 5) and a NextToken value. To see the next batch of results, you can submit the ListFlows request a second time and specify the NextToken value.
:type MaxResults: integer
:param MaxResults: The maximum number of results to return per API request. For example, you submit a ListFlows request with MaxResults set at 5. Although 20 items match your request, the service returns no more than the first 5 items. (The service also returns a NextToken value that you can use to fetch the next batch of results.) The service might return fewer results than the MaxResults value. If MaxResults is not included in the request, the service defaults to pagination with a maximum of 10 results per page.
:type NextToken: string
:param NextToken: The token that identifies which batch of results that you want to see. For example, you submit a ListFlows request with MaxResults set at 5. The service returns the first batch of results (up to 5) and a NextToken value. To see the next batch of results, you can submit the ListFlows request a second time and specify the NextToken value.
:rtype: dict
:returns:
"""
pass
def list_tags_for_resource(self, ResourceArn: str) -> Dict:
"""
List all tags on an AWS Elemental MediaConnect resource
See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/mediaconnect-2018-11-14/ListTagsForResource>`_
**Request Syntax**
::
response = client.list_tags_for_resource(
ResourceArn='string'
)
**Response Syntax**
::
{
'Tags': {
'string': 'string'
}
}
**Response Structure**
- *(dict) --* The tags for the resource
- **Tags** *(dict) --* A map from tag keys to values. Tag keys can have a maximum character length of 128 characters, and tag values can have a maximum length of 256 characters.
- *(string) --*
- *(string) --*
:type ResourceArn: string
:param ResourceArn: **[REQUIRED]** The Amazon Resource Name (ARN) that identifies the AWS Elemental MediaConnect resource for which to list the tags.
:rtype: dict
:returns:
"""
pass
def remove_flow_output(self, FlowArn: str, OutputArn: str) -> Dict:
"""
Removes an output from an existing flow. This request can be made only on an output that does not have an entitlement associated with it. If the output has an entitlement, you must revoke the entitlement instead. When an entitlement is revoked from a flow, the service automatically removes the associated output.
See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/mediaconnect-2018-11-14/RemoveFlowOutput>`_
**Request Syntax**
::
response = client.remove_flow_output(
FlowArn='string',
OutputArn='string'
)
**Response Syntax**
::
{
'FlowArn': 'string',
'OutputArn': 'string'
}
**Response Structure**
- *(dict) --* output successfully removed from flow configuration.
- **FlowArn** *(string) --* The ARN of the flow that is associated with the output you removed.
- **OutputArn** *(string) --* The ARN of the output that was removed.
:type FlowArn: string
:param FlowArn: **[REQUIRED]** The flow that you want to remove an output from.
:type OutputArn: string
:param OutputArn: **[REQUIRED]** The ARN of the output that you want to remove.
:rtype: dict
:returns:
"""
pass
def revoke_flow_entitlement(self, EntitlementArn: str, FlowArn: str) -> Dict:
"""
Revokes an entitlement from a flow. Once an entitlement is revoked, the content becomes unavailable to the subscriber and the associated output is removed.
See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/mediaconnect-2018-11-14/RevokeFlowEntitlement>`_
**Request Syntax**
::
response = client.revoke_flow_entitlement(
EntitlementArn='string',
FlowArn='string'
)
**Response Syntax**
::
{
'EntitlementArn': 'string',
'FlowArn': 'string'
}
**Response Structure**
- *(dict) --* AWS Elemental MediaConnect revoked the entitlement successfully.
- **EntitlementArn** *(string) --* The ARN of the entitlement that was revoked.
- **FlowArn** *(string) --* The ARN of the flow that the entitlement was revoked from.
:type EntitlementArn: string
:param EntitlementArn: **[REQUIRED]** The ARN of the entitlement that you want to revoke.
:type FlowArn: string
:param FlowArn: **[REQUIRED]** The flow that you want to revoke an entitlement from.
:rtype: dict
:returns:
"""
pass
def start_flow(self, FlowArn: str) -> Dict:
"""
Starts a flow.
See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/mediaconnect-2018-11-14/StartFlow>`_
**Request Syntax**
::
response = client.start_flow(
FlowArn='string'
)
**Response Syntax**
::
{
'FlowArn': 'string',
'Status': 'STANDBY'|'ACTIVE'|'UPDATING'|'DELETING'|'STARTING'|'STOPPING'|'ERROR'
}
**Response Structure**
- *(dict) --* AWS Elemental MediaConnect is starting the flow.
- **FlowArn** *(string) --* The ARN of the flow that you started.
- **Status** *(string) --* The status of the flow when the StartFlow process begins.
:type FlowArn: string
:param FlowArn: **[REQUIRED]** The ARN of the flow that you want to start.
:rtype: dict
:returns:
"""
pass
def stop_flow(self, FlowArn: str) -> Dict:
"""
Stops a flow.
See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/mediaconnect-2018-11-14/StopFlow>`_
**Request Syntax**
::
response = client.stop_flow(
FlowArn='string'
)
**Response Syntax**
::
{
'FlowArn': 'string',
'Status': 'STANDBY'|'ACTIVE'|'UPDATING'|'DELETING'|'STARTING'|'STOPPING'|'ERROR'
}
**Response Structure**
- *(dict) --* AWS Elemental MediaConnect is stopping the flow.
- **FlowArn** *(string) --* The ARN of the flow that you stopped.
- **Status** *(string) --* The status of the flow when the StopFlow process begins.
:type FlowArn: string
:param FlowArn: **[REQUIRED]** The ARN of the flow that you want to stop.
:rtype: dict
:returns:
"""
pass
def tag_resource(self, ResourceArn: str, Tags: Dict):
"""
Associates the specified tags to a resource with the specified resourceArn. If existing tags on a resource are not specified in the request parameters, they are not changed. When a resource is deleted, the tags associated with that resource are deleted as well.
See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/mediaconnect-2018-11-14/TagResource>`_
**Request Syntax**
::
response = client.tag_resource(
ResourceArn='string',
Tags={
'string': 'string'
}
)
:type ResourceArn: string
:param ResourceArn: **[REQUIRED]** The Amazon Resource Name (ARN) that identifies the AWS Elemental MediaConnect resource to which to add tags.
:type Tags: dict
:param Tags: **[REQUIRED]** A map from tag keys to values. Tag keys can have a maximum character length of 128 characters, and tag values can have a maximum length of 256 characters.
- *(string) --*
- *(string) --*
:returns: None
"""
pass
def untag_resource(self, ResourceArn: str, TagKeys: List):
"""
Deletes specified tags from a resource.
See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/mediaconnect-2018-11-14/UntagResource>`_
**Request Syntax**
::
response = client.untag_resource(
ResourceArn='string',
TagKeys=[
'string',
]
)
:type ResourceArn: string
:param ResourceArn: **[REQUIRED]** The Amazon Resource Name (ARN) that identifies the AWS Elemental MediaConnect resource from which to delete tags.
:type TagKeys: list
:param TagKeys: **[REQUIRED]** The keys of the tags to be removed.
- *(string) --*
:returns: None
"""
pass
def update_flow_entitlement(self, EntitlementArn: str, FlowArn: str, Description: str = None, Encryption: Dict = None, Subscribers: List = None) -> Dict:
"""
You can change an entitlement's description, subscribers, and encryption. If you change the subscribers, the service will remove the outputs that are are used by the subscribers that are removed.
See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/mediaconnect-2018-11-14/UpdateFlowEntitlement>`_
**Request Syntax**
::
response = client.update_flow_entitlement(
Description='string',
Encryption={
'Algorithm': 'aes128'|'aes192'|'aes256',
'KeyType': 'static-key',
'RoleArn': 'string',
'SecretArn': 'string'
},
EntitlementArn='string',
FlowArn='string',
Subscribers=[
'string',
]
)
**Response Syntax**
::
{
'Entitlement': {
'Description': 'string',
'Encryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'KeyType': 'static-key',
'RoleArn': 'string',
'SecretArn': 'string'
},
'EntitlementArn': 'string',
'Name': 'string',
'Subscribers': [
'string',
]
},
'FlowArn': 'string'
}
**Response Structure**
- *(dict) --* AWS Elemental MediaConnect updated the entitlement successfully.
- **Entitlement** *(dict) --* The settings for a flow entitlement.
- **Description** *(string) --* A description of the entitlement.
- **Encryption** *(dict) --* The type of encryption that will be used on the output that is associated with this entitlement.
- **Algorithm** *(string) --* The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
- **KeyType** *(string) --* The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
- **RoleArn** *(string) --* The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
- **SecretArn** *(string) --* The ARN that was assigned to the secret that you created in AWS Secrets Manager to store the encryption key.
- **EntitlementArn** *(string) --* The ARN of the entitlement.
- **Name** *(string) --* The name of the entitlement.
- **Subscribers** *(list) --* The AWS account IDs that you want to share your content with. The receiving accounts (subscribers) will be allowed to create their own flow using your content as the source.
- *(string) --*
- **FlowArn** *(string) --* The ARN of the flow that this entitlement was granted on.
:type Description: string
:param Description: A description of the entitlement. This description appears only on the AWS Elemental MediaConnect console and will not be seen by the subscriber or end user.
:type Encryption: dict
:param Encryption: The type of encryption that will be used on the output associated with this entitlement.
- **Algorithm** *(string) --* The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
- **KeyType** *(string) --* The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
- **RoleArn** *(string) --* The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
- **SecretArn** *(string) --* The ARN that was assigned to the secret that you created in AWS Secrets Manager to store the encryption key.
:type EntitlementArn: string
:param EntitlementArn: **[REQUIRED]** The ARN of the entitlement that you want to update.
:type FlowArn: string
:param FlowArn: **[REQUIRED]** The flow that is associated with the entitlement that you want to update.
:type Subscribers: list
:param Subscribers: The AWS account IDs that you want to share your content with. The receiving accounts (subscribers) will be allowed to create their own flow using your content as the source.
- *(string) --*
:rtype: dict
:returns:
"""
pass
def update_flow_output(self, FlowArn: str, OutputArn: str, Description: str = None, Destination: str = None, Encryption: Dict = None, MaxLatency: int = None, Port: int = None, Protocol: str = None, SmoothingLatency: int = None, StreamId: str = None) -> Dict:
"""
Updates an existing flow output.
See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/mediaconnect-2018-11-14/UpdateFlowOutput>`_
**Request Syntax**
::
response = client.update_flow_output(
Description='string',
Destination='string',
Encryption={
'Algorithm': 'aes128'|'aes192'|'aes256',
'KeyType': 'static-key',
'RoleArn': 'string',
'SecretArn': 'string'
},
FlowArn='string',
MaxLatency=123,
OutputArn='string',
Port=123,
Protocol='zixi-push'|'rtp-fec'|'rtp',
SmoothingLatency=123,
StreamId='string'
)
**Response Syntax**
::
{
'FlowArn': 'string',
'Output': {
'Description': 'string',
'Destination': 'string',
'Encryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'KeyType': 'static-key',
'RoleArn': 'string',
'SecretArn': 'string'
},
'EntitlementArn': 'string',
'MediaLiveInputArn': 'string',
'Name': 'string',
'OutputArn': 'string',
'Port': 123,
'Transport': {
'MaxBitrate': 123,
'MaxLatency': 123,
'Protocol': 'zixi-push'|'rtp-fec'|'rtp',
'SmoothingLatency': 123,
'StreamId': 'string'
}
}
}
**Response Structure**
- *(dict) --* AWS Elemental MediaConnect updated the output successfully.
- **FlowArn** *(string) --* The ARN of the flow that is associated with the updated output.
- **Output** *(dict) --* The settings for an output.
- **Description** *(string) --* A description of the output.
- **Destination** *(string) --* The address where you want to send the output.
- **Encryption** *(dict) --* The type of key used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
- **Algorithm** *(string) --* The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
- **KeyType** *(string) --* The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
- **RoleArn** *(string) --* The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
- **SecretArn** *(string) --* The ARN that was assigned to the secret that you created in AWS Secrets Manager to store the encryption key.
- **EntitlementArn** *(string) --* The ARN of the entitlement on the originator''s flow. This value is relevant only on entitled flows.
- **MediaLiveInputArn** *(string) --* The input ARN of the AWS Elemental MediaLive channel. This parameter is relevant only for outputs that were added by creating a MediaLive input.
- **Name** *(string) --* The name of the output. This value must be unique within the current flow.
- **OutputArn** *(string) --* The ARN of the output.
- **Port** *(integer) --* The port to use when content is distributed to this output.
- **Transport** *(dict) --* Attributes related to the transport stream that are used in the output.
- **MaxBitrate** *(integer) --* The smoothing max bitrate for RTP and RTP-FEC streams.
- **MaxLatency** *(integer) --* The maximum latency in milliseconds for Zixi-based streams.
- **Protocol** *(string) --* The protocol that is used by the source or output.
- **SmoothingLatency** *(integer) --* The smoothing latency in milliseconds for RTP and RTP-FEC streams.
- **StreamId** *(string) --* The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.
:type Description: string
:param Description: A description of the output. This description appears only on the AWS Elemental MediaConnect console and will not be seen by the end user.
:type Destination: string
:param Destination: The IP address where you want to send the output.
:type Encryption: dict
:param Encryption: The type of key used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
- **Algorithm** *(string) --* The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
- **KeyType** *(string) --* The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
- **RoleArn** *(string) --* The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
- **SecretArn** *(string) --* The ARN that was assigned to the secret that you created in AWS Secrets Manager to store the encryption key.
:type FlowArn: string
:param FlowArn: **[REQUIRED]** The flow that is associated with the output that you want to update.
:type MaxLatency: integer
:param MaxLatency: The maximum latency in milliseconds for Zixi-based streams.
:type OutputArn: string
:param OutputArn: **[REQUIRED]** The ARN of the output that you want to update.
:type Port: integer
:param Port: The port to use when content is distributed to this output.
:type Protocol: string
:param Protocol: The protocol to use for the output.
:type SmoothingLatency: integer
:param SmoothingLatency: The smoothing latency in milliseconds for RTP and RTP-FEC streams.
:type StreamId: string
:param StreamId: The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.
:rtype: dict
:returns:
"""
pass
def update_flow_source(self, FlowArn: str, SourceArn: str, Decryption: Dict = None, Description: str = None, EntitlementArn: str = None, IngestPort: int = None, MaxBitrate: int = None, MaxLatency: int = None, Protocol: str = None, StreamId: str = None, WhitelistCidr: str = None) -> Dict:
"""
Updates the source of a flow.
See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/mediaconnect-2018-11-14/UpdateFlowSource>`_
**Request Syntax**
::
response = client.update_flow_source(
Decryption={
'Algorithm': 'aes128'|'aes192'|'aes256',
'KeyType': 'static-key',
'RoleArn': 'string',
'SecretArn': 'string'
},
Description='string',
EntitlementArn='string',
FlowArn='string',
IngestPort=123,
MaxBitrate=123,
MaxLatency=123,
Protocol='zixi-push'|'rtp-fec'|'rtp',
SourceArn='string',
StreamId='string',
WhitelistCidr='string'
)
**Response Syntax**
::
{
'FlowArn': 'string',
'Source': {
'Decryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'KeyType': 'static-key',
'RoleArn': 'string',
'SecretArn': 'string'
},
'Description': 'string',
'EntitlementArn': 'string',
'IngestIp': 'string',
'IngestPort': 123,
'Name': 'string',
'SourceArn': 'string',
'Transport': {
'MaxBitrate': 123,
'MaxLatency': 123,
'Protocol': 'zixi-push'|'rtp-fec'|'rtp',
'SmoothingLatency': 123,
'StreamId': 'string'
},
'WhitelistCidr': 'string'
}
}
**Response Structure**
- *(dict) --* AWS Elemental MediaConnect updated the flow successfully.
- **FlowArn** *(string) --* The ARN of the flow that you want to update.
- **Source** *(dict) --* The settings for the source of the flow.
- **Decryption** *(dict) --* The type of encryption that is used on the content ingested from this source.
- **Algorithm** *(string) --* The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
- **KeyType** *(string) --* The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
- **RoleArn** *(string) --* The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
- **SecretArn** *(string) --* The ARN that was assigned to the secret that you created in AWS Secrets Manager to store the encryption key.
- **Description** *(string) --* A description for the source. This value is not used or seen outside of the current AWS Elemental MediaConnect account.
- **EntitlementArn** *(string) --* The ARN of the entitlement that allows you to subscribe to content that comes from another AWS account. The entitlement is set by the content originator and the ARN is generated as part of the originator's flow.
- **IngestIp** *(string) --* The IP address that the flow will be listening on for incoming content.
- **IngestPort** *(integer) --* The port that the flow will be listening on for incoming content.
- **Name** *(string) --* The name of the source.
- **SourceArn** *(string) --* The ARN of the source.
- **Transport** *(dict) --* Attributes related to the transport stream that are used in the source.
- **MaxBitrate** *(integer) --* The smoothing max bitrate for RTP and RTP-FEC streams.
- **MaxLatency** *(integer) --* The maximum latency in milliseconds for Zixi-based streams.
- **Protocol** *(string) --* The protocol that is used by the source or output.
- **SmoothingLatency** *(integer) --* The smoothing latency in milliseconds for RTP and RTP-FEC streams.
- **StreamId** *(string) --* The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.
- **WhitelistCidr** *(string) --* The range of IP addresses that should be allowed to contribute content to your source. These IP addresses should in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
:type Decryption: dict
:param Decryption: The type of encryption used on the content ingested from this source.
- **Algorithm** *(string) --* The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
- **KeyType** *(string) --* The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
- **RoleArn** *(string) --* The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
- **SecretArn** *(string) --* The ARN that was assigned to the secret that you created in AWS Secrets Manager to store the encryption key.
:type Description: string
:param Description: A description for the source. This value is not used or seen outside of the current AWS Elemental MediaConnect account.
:type EntitlementArn: string
:param EntitlementArn: The ARN of the entitlement that allows you to subscribe to this flow. The entitlement is set by the flow originator, and the ARN is generated as part of the originator\'s flow.
:type FlowArn: string
:param FlowArn: **[REQUIRED]** The flow that is associated with the source that you want to update.
:type IngestPort: integer
:param IngestPort: The port that the flow will be listening on for incoming content.
:type MaxBitrate: integer
:param MaxBitrate: The smoothing max bitrate for RTP and RTP-FEC streams.
:type MaxLatency: integer
:param MaxLatency: The maximum latency in milliseconds for Zixi-based streams.
:type Protocol: string
:param Protocol: The protocol that is used by the source.
:type SourceArn: string
:param SourceArn: **[REQUIRED]** The ARN of the source that you want to update.
:type StreamId: string
:param StreamId: The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.
:type WhitelistCidr: string
:param WhitelistCidr: The range of IP addresses that should be allowed to contribute content to your source. These IP addresses should in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
:rtype: dict
:returns:
"""
pass
| 63.321541 | 534 | 0.557254 | 8,731 | 80,545 | 5.129997 | 0.048906 | 0.032753 | 0.011788 | 0.015227 | 0.864791 | 0.841572 | 0.830141 | 0.819178 | 0.806542 | 0.794776 | 0 | 0.013023 | 0.340307 | 80,545 | 1,271 | 535 | 63.371361 | 0.829924 | 0.846905 | 0 | 0.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.42 | false | 0.42 | 0.14 | 0 | 0.58 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 10 |
65b332e489c7e16a04acfdd999d494c895fe699f | 115,233 | py | Python | src/testes/testeee.py | brunoadriano17/eye-tracking-data | f7209a2e5c8b143e340b7b9fd235e59dd8e9daec | [
"MIT"
] | null | null | null | src/testes/testeee.py | brunoadriano17/eye-tracking-data | f7209a2e5c8b143e340b7b9fd235e59dd8e9daec | [
"MIT"
] | null | null | null | src/testes/testeee.py | brunoadriano17/eye-tracking-data | f7209a2e5c8b143e340b7b9fd235e59dd8e9daec | [
"MIT"
] | null | null | null | import cv2 as cv
import matplotlib.pyplot as plt
import numpy as np
import os, os.path
import random
import pygame
import ctypes
import time
# vet = [[[3.52625625, 5.65624626]], [[1.08089428, 5.95952864]], [[3.06282096, 8.19661217]], [[3.67186725, 8.86494112]], [[2.13712397, 7.25919361]], [[4.48783541, 6.46264601]], [[3.93641071, 7.67810726]], [[1.58168745, 7.63433313]], [[2.41893469, 8.11789317]], [[0.75610791, 8.6446355 ]], [[2.20640978, 8.38431938]], [[0.03815652, 7.10716458]], [[1.71612161, 7.3317596 ]], [[-1.75014918, 4.47272139]], [[-1.00157106, 5.49700185]], [[-3.60355266, 5.78943821]], [[-2.73193713, 5.23952238]], [[-2.48165423, 6.27646033]], [[-1.64774206, 4.82670069]], [[-2.05111197, 6.52558827]], [[-1.42057368, 3.90044485]], [[-1.66283632, 4.81951731]], [[-0.85239222, 4.98911169]], [[-1.79580205, 4.83288305]], [[-1.07461049, 5.80498394]], [[-2.24173062, 6.32123933]], [[-1.16269516, 7.40534151]], [[0.126876 , 6.83107341]], [[-0.49922069, 7.52228489]], [[0.34630793, 7.64973999]], [[0.35296107, 7.56545907]], [[0.1613654 , 8.39196813]], [[-0.62497378, 8.27184056]], [[-0.42093561, 7.63471911]], [[-0.36607145, 7.23626108]], [[-0.5802558 , 7.57467936]], [[-0.46641694, 7.6037292 ]], [[-0.49776484, 7.651459 ]], [[-1.18518701, 7.41675411]], [[-0.5599551 , 7.61716217]], [[-0.41016971, 6.86783273]], [[-0.39142297, 6.71599006]], [[-0.38082803, 6.79547418]], [[-0.42165447, 6.68642123]], [[-1.3704013 , 7.40333281]], [[-1.21993717, 7.37120481]], [[-1.45792717, 7.35260321]], [[-1.50770906, 6.37090599]], [[-2.91837232, 6.24930657]], [[-2.4430754 , 6.35760964]], [[-1.85978252, 7.23956087]], [[-1.12753901, 7.46717044]], [[-0.39308982, 8.21320079]], [[-1.65934686, 7.35866494]], [[-1.17905947, 7.39450908]], [[-1.13054614, 8.05682762]], [[-0.54598512, 8.22723075]], [[-2.08293007, 7.08180845]], [[-1.71231985, 7.14234777]], [[-1.53454256, 4.69545846]], [[-1.21297338, 2.96232374]], [[-1.06715722, 2.25897899]], [[-2.2615181 , 2.86027491]], [[-2.33679485, 7.1099803 ]], [[-1.05803223, 7.10351372]], [[-1.01667881, 7.3640902 ]], [[-0.93348627, 7.39740171]], [[-3.41541011, 5.8317987 ]], [[-2.53790721, 5.23610226]], [[-6.19925387, 5.63623283]], [[-7.71496803, 4.08582186]], [[-7.74248538, 5.16610846]], [[-7.49023548, 5.07152269]], [[-8.06104224, 5.97366996]], [[-6.3428569, 5.6185693]], [[-7.70705469, 6.7935417 ]], [[-8.24008097, 6.87514386]], [[-8.61987812, 6.71962371]], [[-8.06341096, 7.00351563]], [[-7.8365779 , 6.43227634]], [[-6.0700366 , 6.52321695]], [[-6.17484592, 5.54710351]], [[-5.2679984 , 5.75078974]], [[-5.32413702, 4.79299593]], [[-4.53456891, 4.91914916]], [[-3.97712182, 5.00966011]], [[-3.12588449, 5.15437507]], [[-3.09505663, 5.25854433]], [[-3.1080882 , 5.27854153]], [[-3.09605571, 5.41042365]], [[-3.53708402, 5.32308821]], [[-3.97290667, 5.21486769]], [[-3.42659959, 5.23734192]], [[-2.8686767 , 4.47519794]], [[-2.91138527, 5.35412881]], [[-2.8509927 , 4.56934114]], [[-2.98414851, 4.81629595]], [[-3.15963015, 6.24378988]], [[-3.12110229, 6.25004766]], [[-4.02582921, 6.14486217]], [[-4.7508067 , 5.98173237]], [[-4.22221759, 6.160274 ]], [[-4.11874906, 5.83994699]], [[-3.68172927, 5.25886685]], [[-3.80658154, 5.33972218]], [[-3.9267671 , 5.40492123]], [[-4.64480876, 5.27565662]], [[-3.7405536 , 5.35635208]], [[-3.80487541, 5.30428696]], [[-3.91588865, 6.0591618 ]], [[-3.57341818, 6.08692262]], [[-3.87047239, 6.03879451]], [[-3.8067292 , 6.03061319]], [[-3.03768652, 6.18985295]], [[-2.93637605, 5.83723573]], [[-2.21772541, 5.40832812]], [[-3.7617563 , 5.42896941]], [[-3.72596576, 5.29706606]], [[-3.67228408, 5.2603379 ]], [[-2.8127924 , 4.88741055]], [[-2.8181659 , 4.36971726]], [[-2.66538825, 5.3957495 ]], [[-2.77912021, 6.04453683]], [[-3.65954328, 6.15223861]], [[-4.80051279, 6.01100206]], [[-3.90964267, 5.93744235]], [[-2.76170521, 5.27650328]], [[-8.19084847, 2.84775722]], [[-8.15500904, 2.69978687]], [[-9.5904695 , 2.57412128]], [[-8.59483786, 2.67901074]], [[-10.39799221, 1.59484177]], [[-9.45202434, 2.8110786 ]], [[-11.16622135, 2.96183677]], [[-9.58470908, 3.91264481]], [[-10.60276985, 4.22600979]], [[-9.67616262, 4.32117663]], [[-12.74692771, 5.31136916]], [[-11.1280201, 7.1945232]], [[-13.90327952, 7.40141773]], [[-12.91997808, 7.76756543]], [[-12.58891284, 7.97830287]], [[-9.87652609, 8.14801198]], [[-10.7091423 , 8.66699498]], [[-10.84220748, 9.20115795]], [[-12.81327783, 9.50013347]], [[-10.79663737, 9.36719742]], [[-11.02068736, 8.87458881]], [[-9.34717553, 9.16613159]], [[-8.6636036, 9.2200985]], [[-8.60886012, 9.53093982]], [[-9.56075839, 9.23738287]], [[-9.68841496, 9.25097205]], [[-7.68666405, 10.03589349]], [[-8.29946022, 9.18352018]], [[-8.5271731 , 9.22447075]], [[-9.38701168, 9.26886926]], [[-8.69891748, 9.43695541]], [[-9.57198531, 9.37944852]], [[-8.74882097, 9.30524041]], [[-8.64676268, 9.40268416]], [[-9.64307744, 10.43935985]], [[-9.58535822, 10.51692553]], [[-9.53120022, 9.32016985]], [[-8.91652851, 10.02882367]], [[-9.70910858, 9.76326468]], [[-9.36647512, 10.05840405]], [[-9.41032093, 10.19449086]], [[-8.52200758, 9.36787163]], [[-8.61847557, 10.29734112]], [[-9.59532692, 9.56156844]], [[-7.67188067, 9.11702027]], [[-9.38956643, 9.2535422 ]], [[-9.44563773, 9.40206413]], [[-9.5915243 , 9.33348455]], [[-9.69716175, 9.16648482]], [[-10.72072122, 9.76771955]], [[-9.51972244, 9.62176919]], [[-10.14379949, 9.61465127]], [[-14.83092499, 3.65337753]], [[-7.45381169, 3.11079035]], [[-6.22690697, 4.87035618]], [[-7.68114548, 8.15238609]], [[-9.44222274, 7.39499288]], [[-7.65059395, 8.22766628]], [[-11.01277976, 10.04922113]], [[-9.77901459, 9.5170723 ]], [[-9.78177452, 7.59693766]], [[-10.62707269, 7.53286935]], [[-11.45876384, 7.37639097]], [[-11.41069596, 8.36017754]], [[-10.07591435, 6.51061778]], [[-9.63468847, 7.14467765]], [[-7.88587498, 7.6105751 ]], [[-10.01593581, 7.28870503]], [[-10.87146704, 6.61579177]], [[-10.97470939, 6.70377199]], [[-9.97777143, 5.66931388]], [[-9.225865 , 5.69443596]], [[-11.00324408, 5.87192313]], [[-10.10299879, 5.93534278]], [[-10.09755017, 5.69826558]], [[-10.27550603, 5.58277039]], [[-10.00171811, 4.63759771]], [[-10.05082902, 5.72979635]], [[-10.14942233, 5.59244472]], [[-9.13389035, 4.81680881]], [[-9.09541013, 3.69149732]], [[-10.67484759, 0.93942536]], [[-11.66038715, 1.88113457]], [[-11.86773642, 1.97354797]], [[-11.6630624 , 1.26090142]], [[-11.54331795, 6.30201572]], [[-11.76841984, 5.23019901]], [[-10.73030116, 6.77367471]], [[-10.40171436, 6.67823048]], [[-9.90424145, 6.97483924]], [[-9.88395892, 6.66985986]], [[-9.90643419, 7.30835881]], [[-10.79012752, 5.7879889 ]], [[-10.79261767, 5.71944375]], [[-9.90459174, 6.86621971]], [[-10.83715403, 7.34864712]], [[-8.96946534, 6.69915853]], [[-9.01866207, 7.65353559]], [[-10.49371543, 6.72375692]], [[-9.22344037, 7.35040999]], [[-10.12487706, 6.63909973]], [[-8.69588226, 6.70038817]], [[-8.07192718, 5.79418756]], [[-10.24306711, 7.5688082 ]], [[-11.1997735 , 6.62972184]], [[-10.31859448, 7.87508373]], [[-10.98978303, 6.67788876]], [[-10.30156442, 6.52196719]], [[-9.1142834 , 6.72788876]], [[-9.24163034, 7.31818518]], [[-9.32884337, 7.37047773]], [[-9.99034391, 6.53895964]], [[-5.95078411, 5.04495449]], [[-20.97639196, 7.98339179]], [[-10.83600597, 1.00744786]], [[-7.05000954, 2.70009193]], [[-7.22630682, 8.19759293]], [[-10.96732914, 8.93505676]], [[-13.5748601 , 5.77558541]], [[-9.90044973, 6.70588119]], [[-7.25715418, 5.44327836]], [[-6.14500007, 4.74556005]], [[-4.52524916, 6.78236617]], [[-3.79592972, 7.50228018]], [[-3.70349212, 5.86184711]], [[-2.98775178, 6.87907062]], [[-3.86192599, 6.72662258]], [[-4.88021199, 7.38595472]], [[-5.81205566, 6.10060623]], [[-5.95938751, 7.03991172]], [[-7.75694266, 5.76793427]], [[-7.06861346, 6.73503741]], [[-8.78534103, 6.50701426]], [[-7.75427184, 5.30457291]], [[-7.76095293, 5.5593311 ]], [[-9.68134069, 5.18092591]], [[-8.06165489, 6.25915267]], [[-9.68864917, 5.78074934]], [[-10.02608998, 5.81925797]], [[-10.80454102, 4.62152431]], [[-11.03254494, 4.4817915 ]], [[-10.54585793, 4.52219048]], [[-11.51821336, 3.743065 ]], [[-10.65617624, 3.67041155]], [[-10.81352679, 4.73514557]], [[-11.87009566, 4.35560111]], [[-11.71284088, 4.30912731]], [[-11.5930582 , 3.52917677]], [[-11.62555503, 4.33200361]], [[-11.51250066, 4.56204511]], [[-10.8637919 , 4.68348962]], [[-11.30041907, 6.46267937]], [[-11.30071729, 5.51297853]], [[-12.08833625, 6.27038355]], [[-12.16872944, 6.22469774]], [[-11.18248718, 6.32612283]], [[-12.10732943, 5.42323368]], [[-11.04299904, 5.47147103]], [[-12.02182702, 6.31804984]], [[-11.39167747, 7.19336436]], [[-12.0104379 , 6.05792174]], [[-11.92921357, 5.76560332]], [[-10.98171323, 6.35545609]], [[-10.95844344, 6.40680841]], [[-10.87200275, 6.16449375]], [[-11.72490666, 5.75048199]], [[-10.91771553, 6.52007223]], [[-10.93360946, 6.18857492]], [[-11.07461244, 6.4114306 ]], [[-11.94213759, 6.10387385]], [[-11.07876861, 6.26332584]], [[-12.04788078, 6.16837133]], [[-4.76720431, 3.00472217]], [[-3.61398649, 3.45280313]], [[-4.97837746, 4.19876564]], [[-5.9395822 , 4.83582318]], [[-8.75156937, 3.24957199]], [[-10.0124352 , 3.71282444]], [[-8.51670895, 3.83294277]], [[-10.51938362, 4.50156407]], [[-7.08040395, 3.48953848]], [[-5.40286771, 4.83570271]], [[-5.46811912, 4.83236085]], [[-6.32579789, 4.52849903]], [[-5.45162191, 4.7731125 ]], [[-8.98602309, 3.12179995]], [[-7.49961154, 4.36319843]], [[-9.46512244, 4.80612906]], [[-9.50913595, 4.45885218]], [[-9.42480437, 3.89549221]], [[-10.61186175, 4.52694656]], [[-11.66838238, 4.28712093]], [[-9.95264029, 4.93637824]], [[-10.65963833, 3.86798857]], [[-9.72305649, 4.69887727]], [[-11.78947426, 4.21911951]], [[-9.68488629, 4.54033181]], [[-10.87270778, 4.48899109]], [[-11.55971952, 4.173991 ]], [[-9.74882861, 3.69399966]], [[-10.34530361, 2.45717786]], [[-10.75111032, 3.47515522]], [[-10.41850831, 3.60298757]], [[-9.61302959, 3.64941201]], [[-9.33541681, 3.85533409]], [[-10.54705029, 4.55305198]], [[-9.75088032, 4.74710567]], [[-8.43900684, 3.60900088]], [[-9.63964645, 4.40534906]], [[-9.01458646, 2.11875131]], [[-10.00395182, 2.33575603]], [[-10.95780409, 1.30515382]], [[-10.49418231, 3.4588501 ]], [[-9.04519722, 2.54760006]], [[-9.27359114, 2.46092967]], [[-9.00405909, 1.54799605]], [[-11.23714811, 3.00175055]], [[-11.1414827 , 2.02168624]], [[-10.89756929, 1.30730649]], [[-10.32599237, 2.39487809]], [[-11.12355013, 2.23198952]], [[-10.78709435, 3.35919985]], [[-10.88157003, 3.34308647]], [[-10.89082622, 3.13397176]], [[-10.73338824, 3.26817624]], [[-11.48958133, 3.18480551]], [[-10.75216679, 4.47145539]], [[-10.79165356, 4.40114777]], [[-9.70997271, 4.83669039]], [[-9.25939174, 2.69751057]], [[-9.57663202, 3.22723411]], [[-10.58358508, 3.32629362]], [[-2.11511178, 4.67545567]], [[-4.01952558, 4.758921 ]], [[-8.4079916 , 5.92717535]], [[-10.32826488, 3.17099819]], [[-11.40325711, 2.36173587]], [[-11.35596721, 2.3753406 ]], [[-8.56383705, 4.13712349]], [[-12.03739829, 4.23820696]], [[-13.02169812, 3.20166743]], [[-11.95899638, 2.63774083]], [[-11.80767244, 2.08522352]], [[-11.15440039, 2.44630145]], [[-10.63746432, 1.39316572]], [[-10.70692625, 0.8600075 ]], [[-10.42787853, 0.61198582]], [[-10.18912932, 1.68568339]], [[-9.58152111, -0.27442641]], [[-9.64654856, -0.25358643]], [[-9.29127492, -1.15188903]], [[-8.68857996, -0.15812207]], [[-8.75857789, -0.16725663]], [[-9.45772882, -0.38140646]], [[-9.72593736, -0.35192329]], [[-10.64941967, 0.44979703]], [[-10.56224804, 0.51662419]], [[-9.96091706, 0.81315481]], [[-11.1288122 , 1.36808348]], [[-10.81478113, 1.40697896]], [[-10.01375436, 1.47979052]], [[-9.74404319, 0.59742012]], [[-10.21436312, 1.56972666]], [[-9.11111057, 1.68035542]], [[-9.52441878, 3.40838493]], [[-9.49725432, 3.51420647]], [[-9.25823674, 4.51253686]], [[-10.40766599, 4.19534767]], [[-10.86251974, 1.136758 ]], [[-8.99275252, 0.68862386]], [[-9.77982196, 0.52530645]], [[-9.80148406, 1.67663492]], [[-10.56113374, 2.22293912]], [[-10.85089739, 2.11280727]], [[-10.53849626, 3.30030623]], [[-10.61611465, 2.06064139]], [[-10.30853566, 1.20795583]], [[-10.42071219, 1.29111512]], [[-10.06158952, 0.31888967]], [[-9.73526019, -0.63069115]], [[-9.17409282, -0.37162225]], [[-9.91937671, 0.49243508]], [[-9.83644483, 0.56314867]], [[-10.4309222 , 3.41551632]], [[-10.87566261, 2.19884364]], [[-9.98919218, 1.40983865]], [[-10.77707982, 1.081908 ]], [[-10.85477577, 1.12894652]], [[-10.81892368, 3.1960024 ]], [[-10.08454789, 1.11412968]], [[-11.0274785 , 0.17368704]], [[-10.77933243, 0.27230974]], [[-1.14446588, 3.36104121]], [[-4.50894618, 1.13752782]], [[-11.78678861, 1.72822115]], [[-10.96186819, 0.19502902]], [[-11.69284525, -1.08063235]], [[-11.99484949, -0.13127723]], [[-13.92250414, -1.62029192]], [[-15.21393726, 1.07757218]], [[-13.44679399, 3.80647945]], [[-15.89851577, 1.11279521]], [[-13.45090715, 1.53951793]], [[-13.47190931, 2.53222058]], [[-12.65437557, 2.90303217]], [[-12.90694689, 3.86702078]], [[-11.72734615, 3.37925234]], [[-11.06231453, 5.25873986]], [[-11.16051353, 5.48577162]], [[-11.85942263, 4.42842808]], [[-11.15623265, 5.54307999]], [[-11.24884673, 5.52498856]], [[-11.51786316, 3.53128008]], [[-10.22261382, 2.67703691]], [[-12.55373415, 4.13191133]], [[-12.8373081 , 5.01681837]], [[-11.89554264, 5.46352981]], [[-11.14757448, 5.60255184]], [[-11.83262906, 4.46838771]], [[-11.83265321, 4.46460038]], [[-11.88728248, 5.26528862]], [[-11.73609063, 4.78396272]], [[-11.86121073, 5.60290008]], [[-11.8629297 , 5.68815397]], [[-11.86154788, 5.72457324]], [[-12.58399192, 5.35190822]], [[-12.90249144, 5.89165108]], [[-12.56911403, 5.11127087]], [[-12.22477045, 4.25990573]], [[-12.53748714, 4.38102059]], [[-12.65940771, 5.20198215]], [[-12.54986697, 4.51805886]], [[-13.71406951, 4.2896814 ]], [[-13.42446333, 4.28115439]], [[-15.28849325, 5.80495174]], [[-13.70612317, 4.94309255]], [[-14.02318653, 4.85250728]], [[-13.56002319, 4.10095407]], [[-11.91387728, 5.26569172]], [[-11.84375932, 5.20050772]], [[-12.66698964, 4.97272605]], [[-11.9531548 , 5.95101922]], [[-11.91136538, 5.24223158]], [[-12.93677267, 6.11677661]], [[-12.97416903, 5.96474191]], [[-14.01245554, 6.57652257]], [[-13.82463931, 6.76671267]], [[-0.15580012, -1.43974176]], [[-16.07016588, 0.10272213]], [[-17.10838197, -1.30786417]], [[-14.35520141, -1.23023344]], [[-15.63856962, 1.26688831]], [[-12.83514481, 1.40435312]], [[-9.8592135 , 1.03743939]], [[-7.4908252 , 2.51732345]], [[-12.50803494, 7.08218975]], [[-9.53678331, 5.98400764]], [[-7.36756444, 5.81417203]], [[-8.94978559, 5.5533179 ]], [[-6.90342565, 5.4086791 ]], [[-9.07814155, 4.90062468]], [[-9.10059713, 5.72013994]], [[-9.02730819, 5.64783637]], [[-9.03281396, 6.39807228]], [[-9.60405134, 7.09135432]], [[-9.79242722, 6.09908686]], [[-9.80512256, 6.27253185]], [[-8.65966516, 6.55591191]], [[-8.89051378, 7.23282729]], [[-9.74799764, 6.15842292]], [[-9.56802971, 6.34440625]], [[-10.70305217, 7.24349792]], [[-10.70101367, 7.13418983]], [[-9.47617812, 7.10690633]], [[-9.55756852, 7.29013944]], [[-9.61986293, 7.03163177]], [[-9.74629448, 5.92925957]], [[-9.7171232 , 5.11487325]], [[-8.7242835, 6.0699412]], [[-9.55171131, 6.1770681 ]], [[-7.78219353, 5.99615554]], [[-7.68285594, 5.92170879]], [[-9.64009245, 6.17801852]], [[-9.59737588, 6.23089847]], [[-9.83885452, 6.44288518]], [[-9.98402149, 6.16523394]], [[-10.55411513, 6.22961522]], [[-9.66249799, 6.24740609]], [[-10.0661772 , 6.40941273]], [[-10.28696848, 6.93011975]], [[-8.88672558, 6.08849245]], [[-8.58135626, 6.37807814]], [[-8.80526015, 6.40658296]], [[-8.91293129, 6.87664061]], [[-8.84821159, 6.98962164]], [[-8.8178992 , 6.97559349]], [[-9.7263417 , 6.17445892]], [[-9.16508752, 4.66836421]], [[-9.02389855, 5.6270389 ]], [[-9.78370325, 5.83028601]], [[-9.79245869, 6.42313185]], [[-8.9261985, 6.0583472]], [[-9.7000333, 6.9470377]], [[-9.64975136, 6.0515064 ]], [[-8.02626129, 5.82008142]], [[-9.8219921 , 6.92334532]], [[-11.6869763 , 6.23404649]], [[-11.59773843, 6.12926944]], [[-9.87528721, 4.2617788 ]], [[-9.92865342, 4.2684056 ]], [[-8.96797096, 4.92093758]], [[-9.04777929, 5.16157401]], [[-11.20490236, 5.43480692]]]
#
# vetMediaFinal = []
# j = 0
# pmX = 0
# pmY = 0
# for i in range(540):
# pmX += vet[i][0][0]
# pmY += vet[i][0][1]
# j += 1
# if j == 60:
# j = 0
# auxPmX = pmX/60;
# auxPmY = pmY/60;
# vetMediaFinal.append([auxPmX, auxPmY])
# pmX = 0
# pmY = 0
#
# print(len(vetMediaFinal))
# captura = cv.VideoCapture(0)
# ret, frame = captura.read()
# if ret:
# cv.imwrite('./capturedFrames/image.jpg', frame)
# vetMedia = [[3.605045427870536, 7.516328844679964], [-2.40508915899165, 8.211047498004842], [-9.099528482988857, 7.9248603166338345], [-8.552198885658276, 7.174983629018177], [-3.2721205699785645, 6.929330241250926], [0.7458104318351236, 6.028940642313912], [0.7209548534815601, 5.7731080319167525], [-6.008123696852519, 6.745721516222318], [-8.407867800726027, 7.412472299068989]]
# vetMedia = [[263.27309106038115, 211.57907918781248], [296.5984580694593, 214.15974662501907], [329.11976424549255, 216.57972060991204], [327.8349799895341, 226.86968297305495], [306.62229565191944, 226.77448669982138], [268.0389022236594, 228.7696256995822], [273.00006950187236, 238.62145324713174], [304.16152850322163, 238.38680547666266], [335.4623025665772, 235.69532250004465]]
# vetPontos = [[628.03736458, 359.47860293], [623.04888334, 358.82350893], [623.48818879, 358.06202199], [619.51046569, 354.58929014], [628.79243679, 361.13230028], [628.70378425, 361.10340149], [628.7359385 , 361.36112742], [627.74197617, 361.3817255 ], [628.81483745, 361.29986115], [628.70920626, 361.20789244], [625.68992004, 361.37640726], [624.97594568, 361.51126823], [625.34796733, 361.97609384], [623.40059365, 362.52897399], [624.16974122, 362.87527191], [624.71236681, 362.46431514], [623.21073766, 362.50514075], [623.51978053, 362.4942961 ], [621.90185994, 362.38488715], [621.70659269, 362.51314231]]
# vetMedia = [[5.266869886596568, 6.29682149568067], [-1.7460205754735825, 6.792560959957291], [-7.3489786087161475, 5.6898388685858485], [-6.046706723458374, 5.2971316490250295], [-1.4615270465117145, 5.330117572752651], [2.9228617839399162, 4.966593398830721], [2.16031465728068, 4.295619581171417], [-4.3117421933590085, 4.0696507648040425], [-8.602370477170188, 4.858439576599414]]
# vetMedia = [[242.46767048315604, 198.16530356218965], [257.7766821019939, 200.05663142195078], [269.11626589278745, 200.57189350417713], [268.2975526351644, 206.63073019266903], [260.02331338587544, 207.34866930339342], [249.3924891275332, 209.02646274076722], [250.55429948261946, 213.85669917498208], [260.61760978892903, 214.16651606057715], [267.0500475549118, 210.724108298021]]
# vetPontos = [[[241.67514477, 196.83483543]], [[241.68334827, 196.66243896]], [[241.67791729, 196.82756305]], [[241.75991287, 197.78065171]], [[242.12603426, 197.09756041]], [[241.68152332, 197.00112119]], [[241.91894274, 196.87562335]], [[241.67366638, 197.82417088]], [[241.20385323, 197.50334236]], [[241.11973136, 197.11903531]], [[240.91670868, 197.51113505]], [[241.11575493, 197.59684645]], [[240.98693732, 197.7893654 ]], [[240.2237589, 198.1681022]], [[240.64526539, 197.37920189]], [[239.53624659, 197.61112233]], [[239.70521927, 198.48399991]], [[240.1852089 , 198.18258401]], [[239.51875307, 198.70315907]], [[240.38122733, 198.70497285]], [[239.69463861, 198.76497973]], [[239.93799308, 198.74011826]], [[240.76481464, 198.81429519]], [[240.99021099, 198.40850171]], [[241.11579448, 198.63011971]], [[241.20560907, 198.80206548]], [[241.4347181 , 198.13144771]], [[241.76608913, 197.72461853]], [[241.65193428, 198.41130854]], [[242.1106097 , 198.73176557]], [[242.28884967, 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#ROSTO PARADO CALIBRACAO PM-IRIS
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#ROSTO MOVENDO CALIBRACAO PM-IRIS
# vetPontos = [[[3.15792046, 4.95180159]], [[2.33072166, 5.09043579]], [[3.15016136, 5.77781553]], [[4.04905586, 5.84853315]], [[3.76894569, 5.63308182]], [[3.47275429, 5.8447094 ]], [[3.22517109, 5.99588208]], [[3.23770113, 5.1043164 ]], [[3.76422067, 5.55316176]], [[3.23968361, 5.04647142]], [[3.22418612, 5.0689577 ]], [[3.38898627, 5.15467835]], [[3.21234836, 5.04784246]], [[3.24533534, 4.99919777]], [[4.05759396, 5.81957967]], [[3.50864729, 5.97260135]], [[3.96704056, 5.39625622]], [[3.95456808, 5.71989091]], [[3.27227704, 5.85551458]], [[3.27147349, 5.85061526]], [[3.20002997, 5.87595963]], [[3.28690232, 4.97963939]], [[3.26515632, 5.07798393]], [[3.27070863, 5.91692812]], [[3.72035215, 5.99602603]], [[3.22371014, 6.00821267]], [[3.23918503, 5.98755622]], [[3.57595879, 5.10707596]], [[3.21518624, 5.97170693]], [[3.42480815, 5.97784114]], [[3.19691202, 5.81076849]], [[3.23584343, 5.88549285]], [[3.25603477, 5.84979424]], [[3.57092949, 5.70716325]], [[3.58136724, 5.88797467]], 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[[-5.79506719, 4.29663228]], [[-5.82295335, 4.14556081]], [[-5.90779242, 4.25585985]], [[-6.51118011, 4.26903299]], [[-5.87307132, 4.31389145]], [[-5.90147 , 4.24589628]], [[-5.85665343, 4.16367464]], [[-5.84920091, 4.02179068]], [[-5.86438422, 4.23568066]], [[-6.8187324 , 4.15168227]], [[-5.85771812, 4.26527366]], [[-5.84129001, 3.28559193]], [[-6.90480635, 4.9064433 ]], [[-5.9659801 , 4.93535338]], [[-5.98848726, 4.28502657]], [[-6.19216582, 4.14951865]], [[-5.8687675 , 4.16059091]], [[-6.15348301, 5.09388583]], [[-5.94000034, 5.36090684]], [[-5.81070608, 5.1703819 ]], [[-5.89305579, 5.12685923]], [[-6.15186962, 5.47057264]], [[-6.23537851, 5.10835617]], [[-5.82449661, 5.17317048]], [[-5.84761118, 5.9181291 ]], [[-6.13503799, 4.9584262 ]], [[-5.8514356 , 5.23920163]], [[-5.86594373, 5.16422644]], [[-5.87605805, 5.14098364]], [[-5.82058977, 4.24466227]], [[-5.83459417, 5.24453047]], [[-5.81649015, 4.32231007]], [[-5.87994697, 4.70037161]], [[-5.77858137, 4.21415302]], [[-5.82202487, 4.27238733]], [[-5.88932041, 4.52190337]], [[-5.83040827, 4.76182387]], [[-5.82286566, 4.30180757]], [[-5.83809496, 4.32057573]], [[-6.11735423, 5.23783453]], [[-5.81109166, 4.56118622]], [[-5.77636288, 5.27265019]], [[-5.8860454 , 5.30376525]], [[-5.84877844, 4.3572093 ]], [[-5.82461446, 5.14940024]], [[-6.03318283, 5.2730206 ]], [[-5.91025052, 5.29723948]], [[-6.59297285, 5.31792908]], [[-6.65625672, 5.31591087]], [[-5.86814064, 4.3393201 ]], [[-5.91517194, 5.35603623]], [[-6.73556147, 5.1786871 ]]]
# vetMedia = [[3.2399792775885605, 5.749123650783435], [-2.5089875286598047, 7.050576992910434], [-5.979970207400023, 6.472491990780745], [-6.101578573236324, 5.799870123043633], [-2.6819962571684104, 6.062439555847986], [1.1234743034342471, 5.820498978873343], [0.4713477311005363, 3.4463582882682315], [-3.0194272910756297, 3.964029824011644], [-6.024997604593623, 4.662207079209501]]
#new calib pm
# vetMedia = [[5.659876581898499, 2.8772734539828906], [-2.823735117600769, 5.3733525049041635], [-10.075519538201513, 4.997190599506009], [-7.842864086655539, 3.860996710192929], [-3.102908853695852, 2.8214431380996365], [4.7054141544254735, 0.8291959819423919], [0.9167078470655525, -0.11503259872139514], [-6.539971893990847, 1.4233652397602772], [-7.229212357631212, 1.5802003804341576]]
# vetPontos =[[4.94742408, 2.93795133], [4.67818742, 2.9201221 ], [4.88918223, 2.86292658], [4.82309382, 2.86100159], [5.00007455, 2.93072617], [4.88737504, 2.8622715 ], [4.90210962, 2.86197138], [4.83028064, 2.97825174], [4.82976693, 2.86162664], [4.85777661, 2.8599973 ], [4.21076743, 2.40256017], [17.18171212, 2.79494634], [17.34883298, 1.48040408], [18.70045818, -1.07351148], [14.29191712, -0.86451991], [20.08749727, 1.15428886], [4.10321001, 1.58133945], [5.56394225, 2.63625171], [5.0715194 , 2.83812509], [4.9634361 , 2.77822903], [4.91139157, 2.77602947], [4.90666706, 2.8107654 ], [4.90316328, 2.91453644], [4.86798725, 3.26720612], [4.89117225, 2.8631597 ], [4.88443366, 3.09322606], [4.89282702, 3.12857258], [4.88512097, 2.94981384], [4.90219943, 2.86657779], [4.93783512, 2.9022523 ], [4.92098812, 2.90453764], [4.90295911, 2.89122911], [4.90740278, 2.90762645], [4.91795948, 2.93189703], [4.93463903, 2.82972838], [4.92946209, 3.8158328 ], [4.89887338, 3.78567511], [4.96503299, 2.84754162], [4.92816165, 2.85285104], [4.90792374, 2.85722165], [4.89904099, 2.85548602], [4.91402686, 2.94896357], [4.37855376, 2.9220201 ], [4.15134859, 3.92199366], [3.84149033, 3.8729769 ], [4.16299648, 3.89734778], [3.80091016, 3.53396226], [3.77589852, 3.86685073], [3.98783038, 3.88126745], [4.71178046, 3.90991383], [3.81880301, 2.94105691], [4.9171935 , 2.87467202], [4.89526933, 3.07537447], [4.87376821, 2.90509967], [4.0424756 , 3.42321503], [4.86671049, 3.41076184], [4.95502462, 2.8963076 ], [4.94676352, 2.90294935], [4.89780716, 2.91832238], [-3.60986085, 4.8166255 ], [-2.92278087, 4.99230249], [-3.08169551, 5.92125642], [-2.95191221, 5.83565388], [-3.67489295, 5.14865949], [-2.86743042, 4.8694663 ], [-2.47668424, 4.96382372], [-3.17686319, 5.98035679], [-2.94907293, 6.11438951], [-2.95626155, 5.77538971], [-2.90878018, 5.56556805], [-2.90154702, 5.82946456], [-2.92841315, 5.97904389], [-2.91748866, 5.00362884], [-2.93035367, 4.98811259], [-2.97918454, 4.97653191], [-3.00983964, 4.96903747], [-3.05143756, 4.94631579], [-3.32651531, 4.94790513], [-3.0020694, 5.6741595], [-2.95437316, 5.05036916], [-2.96918858, 6.05652834], [-2.99375077, 6.17312648], [-3.14923049, 5.51680994], [-2.93955564, 5.1436044 ], [-2.99451225, 6.01161661], [-2.97445432, 5.06109043], [-2.94389401, 5.13035155], [-2.8590444 , 5.15245422], [-2.401575 , 5.04869469], [-1.86479983, 5.56034654], [-1.89094639, 5.04329746], [-1.90190787, 5.00987577], [-1.91701552, 4.97815573], [-2.23205983, 4.94470728], [-1.89681136, 4.4540459 ], [-2.86471945, 5.78072061], [-2.89649975, 6.0324791 ], [-2.63998075, 5.05663804], [-2.88782613, 5.3583207 ], [-2.92075166, 4.99970699], [-2.97700582, 5.04001311], [-2.94845272, 4.99775011], [-2.93782544, 5.51971679], [-2.35582521, 5.97231967], [-3.00327042, 5.98075932], [-3.02562954, 5.12921211], [-2.92305423, 6.08310976], [-2.2618999 , 4.98961102], [-2.03103262, 5.04332708], [-1.92801228, 5.01900787], [-1.86707098, 5.15746219], [-2.36005 , 6.06412467], [-1.84860039, 5.49065555], [-1.92719836, 5.09624141], [-2.85311128, 6.13495749], [-2.94193131, 5.59598114], [-2.2821328 , 6.14429986], [-1.83501544, 5.17340402], [-1.86207289, 5.00589328], [-11.14879527, 4.71929784], [-11.02999597, 4.82630825], [-9.88444886, 4.79085426], [-9.99793577, 4.77490282], [-9.95145063, 4.51121788], [-10.7200408, 4.4446682], [-10.20874372, 4.86022942], [-9.97272754, 4.93003392], [-10.33309464, 5.26152244], [-10.07021537, 5.17141317], [-9.97335782, 4.95390761], [-10.07144291, 4.99969421], [-10.19237313, 4.92169333], [-10.45485021, 4.84959791], [-11.21687049, 4.82294883], [-11.20211172, 4.92156892], [-10.37207264, 5.01192097], [-10.15439659, 5.04193574], [-10.10541799, 5.05896743], [-10.16017273, 4.91767444], [-10.17599147, 4.85197745], [-10.10750521, 4.96210044], [-11.21636615, 5.00096785], [-11.16996053, 5.09664566], [-10.57656847, 4.99987252], [-10.04686866, 5.18297357], [-10.06609942, 5.04539238], [-9.44947076, 4.92280892], [-8.89002749, 4.97764458], [-9.92865077, 4.7993911 ], [-9.95630749, 4.94477481], [-8.95147083, 5.1005826 ], [-10.05473622, 5.00537884], [-10.12071136, 4.92342783], [-10.12057522, 5.11847792], [-10.16966925, 5.05221689], [-10.18868976, 4.89391952], [-10.01290162, 4.83357842], [-10.05585185, 4.8462482 ], [-9.08210311, 4.99509408], [-9.03540496, 4.9754387 ], [-9.64363629, 4.81888792], [-10.06514247, 5.13416017], [-10.0830969 , 5.04348412], [-10.11512158, 6.12914656], [-10.11376382, 5.45885952], [-10.02894344, 4.87003306], [-10.0882175 , 4.96550672], [-10.1457825 , 4.94585152], [-9.91504342, 5.05763412], [-10.26325209, 4.98774261], [-10.22610713, 4.9445242 ], [-10.21890923, 5.87597736], [-9.52401421, 5.76452897], [-10.17353638, 5.12788579], [-10.11995365, 5.08180076], [-10.10401221, 5.02155409], [-10.16278321, 4.92951122], [-10.10520285, 5.25775639], [-10.17290407, 4.99807866], [-7.81409926, 3.81854022], [-8.06338534, 3.87990952], [-7.72374139, 3.7041101 ], [-7.97487063, 3.8781683 ], [-8.04480143, 3.96447101], [-8.5283473 , 3.79507422], [-7.84436579, 4.55534034], [-7.8082438 , 4.55024402], [-7.8027885 , 3.57257569], [-7.89490343, 3.83862098], [-7.8565325 , 3.81654147], [-7.91468538, 3.84160084], [-7.95701759, 3.85923662], [-8.0325885 , 3.85854837], [-7.96996512, 3.86324972], [-8.02058267, 3.87986872], [-8.28108487, 3.94071478], [-7.99155519, 3.91760922], [-7.92363769, 4.0246238 ], [-8.03253577, 3.98499276], [-8.3212084 , 3.92637771], [-8.13060708, 3.85213648], [-8.75944242, 3.79202076], [-7.7894545 , 3.90233417], [-8.86808342, 3.95614585], [-7.7770074 , 3.80969382], [-7.82889858, 3.81181524], [-7.77924423, 3.98543492], [-7.79337628, 4.01855859], [-7.84565802, 4.09087107], [-7.94897894, 5.11030166], [-7.9030773 , 4.92607533], [-7.83653848, 3.82847042], [-7.75367323, 3.08396689], [-7.7496423 , 3.80306108], [-7.7390756 , 3.93308745], [-7.80767967, 3.93486446], [-7.89446868, 3.91779843], [-7.80894558, 3.93486776], [-7.84856743, 3.9799239 ], [-7.85598632, 2.81612878], [-8.09743197, 2.82150641], [-8.25175351, 3.78482331], [-7.94906544, 3.85052172], [-7.96482303, 3.79591455], [-7.88778575, 3.84043922], [-7.80651177, 3.90022512], [-7.8911872 , 3.68575908], [-7.90068912, 3.9567252 ], [-7.82266304, 3.9545565 ], [-7.81010326, 3.87175901], [-7.85450289, 3.95377098], [-7.84022865, 2.84362195], [-7.80862924, 3.95442988], [-7.88901956, 3.92400946], [-7.80591517, 3.95641441], [-7.76458544, 3.94209674], [-7.8749606 , 3.90723132], [-7.92711102, 3.90973505], [-7.90994391, 3.96705869], [-1.80968785, 2.69976876], [-0.58616905, 2.81382904], [-1.79703436, 1.72861691], [-1.43743687, 2.90181105], [-2.85972366, 2.93733976], [-1.78784363, 2.84583707], [-1.80815003, 3.77074518], [-1.68747633, 2.90256617], [-1.78906291, 2.84922957], [-1.86391993, 3.93030645], [-1.83257662, 2.84226565], [-1.79386318, 1.93031425], [-1.77672535, 2.8764328 ], [-1.7377039 , 1.70976325], [-19.25810649, 9.89178259], [-18.73061596, 11.14283968], [-18.18348769, 11.12810776], [-16.20404074, 13.93003979], [-12.53647943, -1.47228152], [-9.06158903, -4.1105279 ], [-8.92029306, -0.66571236], [-4.88738578, 0.56861199], [-2.87375194, 0.78641152], [-1.74006457, 1.72958263], [-1.73219462, 1.7889119 ], [-1.7298033, 2.0063339], [-1.73710625, 1.70678876], [-1.74550658, 1.73752076], [-0.65039186, 1.92959954], [-1.21294755, 2.12748398], [-1.74449318, 1.95518702], [-1.08836148, 2.13109645], [-1.79359919, 2.82316977], [-1.73638845, 2.75623855], [-0.68940018, 2.86258605], [-1.50980669, 2.86588843], [-1.4585813 , 2.84241737], [-1.75118384, 1.92676639], [-0.94320689, 2.49191782], [-1.04459577, 2.85057383], [-1.77136076, 2.67926068], [-1.74996635, 2.85912556], [-1.76111562, 2.35562059], [-1.77920678, 2.84306654], [-1.80254053, 2.85073785], [-1.45586193, 2.41471511], [-1.79591734, 3.96942814], [-1.28706464, 2.75647013], [-1.76253453, 2.80765692], [-1.77487318, 2.8333434 ], [-1.77734342, 2.36798397], [-1.76984078, 2.59207886], [-1.76006643, 2.46368422], [-1.75213355, 1.93552571], [-1.76355085, 1.82386456], [-1.78816106, 2.80804768], [-1.10673179, 2.85731722], [-1.72993717, 2.85548909], [-1.5852681, 1.8916551], [-1.78787839, 2.75502632], [5.30788956, 0.7960988 ], [4.91549349, 0.56214809], [5.09604692, 0.76900005], [5.07006168, 0.54264736], [4.27345419, 0.55995727], [5.04459386, 0.99981284], [5.04646821, 0.6753015 ], [4.39229221, 0.66871109], [3.92299819, 0.64965711], [3.94651294, 0.65609057], [5.06335024, 1.54679969], [5.05935074, 0.63978201], [3.93359149, 0.63110215], [3.93689487, 1.10115528], [4.12488716, 0.62934831], [5.02934462, 0.66419848], [5.05334144, 0.66010924], [4.24775087, 0.63594569], [4.77435241, 0.61416108], [5.03713636, 0.63645778], [4.58225808, 0.22837221], [5.02732526, 0.66938161], [5.00482178, 1.07584377], [3.9364456 , 0.60297846], [4.61354783, 0.63015254], [3.9502187 , 0.61758477], [5.04449465, 0.62010081], [5.05193159, 0.66469166], [5.00225253, 0.61863056], [4.09905589, 0.59094147], [4.58865371, 0.58581352], [5.05782738, 1.01871766], [5.1137603 , 1.63646881], [5.08840153, 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[0.70166176, 0.13936905], [-0.54217041, 0.23480258], [-0.58204306, -0.57852248], [ 0.61056101, -0.5409338 ], [ 1.7602212 , -0.42455077], [ 0.80659984, -0.63263542], [ 1.71006575, -0.50994982], [ 2.84675911, -0.48480091], [ 0.57524716, -0.64498198], [1.70093632, 0.26992936], [-0.21920044, 0.56367639], [ 0.59101841, -0.55244567], [-6.31332674, 2.15307684], [-6.23300872, 0.73919401], [-6.28922462, 1.534132 ], [-6.18692689, 0.97996111], [-6.49697075, 1.62446804], [-5.32890496, 1.64764113], [-4.93443341, 0.53081865], [-7.70469999, 1.25694346], [-6.94150043, 1.60850549], [-6.55430351, 1.52217999], [-5.23845211, 0.52696731], [-6.38684378, 1.00862522], [-6.39921733, 1.51352199], [-6.55408975, 1.55877713], [-6.40556446, 1.57689738], [-6.14918847, 1.54929046], [-5.27548464, 1.55151617], [-6.3766296 , 1.54039232], [-5.21113518, 0.96207661], [-7.50501205, 1.48344779], [-6.65449981, 0.77765698], [-6.4657332 , 1.49383724], [-7.23189548, 1.48668423], [-5.84532532, 1.26013504], [-6.38120775, 1.56911449], [-7.48316116, 1.32289585], [-7.46490461, 1.92528268], [-5.48430169, 1.32113111], [-6.56233351, 2.27039712], [-7.64792719, 1.54825006], [-5.27090698, 1.60718395], [-6.36075822, 0.43472376], [-6.23897756, 0.44591111], [-6.34134835, 1.42036148], [-5.22879387, 1.57617634], [-6.46173895, 0.78516204], [-6.43177422, 1.51044488], [-7.64058152, 1.45909865], [-7.5816331 , 1.51033415], [-6.49007743, 1.57945591], [-5.66009086, 1.39723432], [-6.44944434, 2.62939712], [-6.44852305, 1.57314801], [-6.4561465 , 2.52421825], [-6.45284396, 2.35823984], [-6.40566584, 1.46950619], [-6.33323774, 1.46690899], [-7.50832279, 1.4895201 ], [-6.4334242 , 1.48550826], [-7.50729559, 1.2972149 ], [-8.66217183, 1.48683759], [-6.47006621, 1.52561486], [-6.34804127, 0.91390655], [-5.76612878, 1.54306979], [-6.72200956, 1.47462011], [-6.40012166, 1.43293013], [-7.56611607, 1.45431188], [-6.49936982, 1.6884616 ], [-6.46518835, 1.49973322], [-7.628668 , 1.47036101], [-8.77596664, 1.20157833], [-8.03142786, 1.46674194], [-8.8808856 , 1.38844829], [-8.87652788, 1.39040518], [-7.00249453, 1.44712234], [-6.92754116, 1.47181854], [-6.1703516 , 1.44799023], [-6.74710751, 1.53994808], [-5.37992334, 1.53287215], [-6.49277958, 1.48930635], [-6.62104485, 1.48464597], [-6.63398839, 1.51485654], [-6.68183845, 2.66200898], [-6.87141433, 1.54169703], [-4.31195131, 1.62362203], [-6.2581145 , 2.39398276], [-7.88916079, 1.32099746], [-8.26039877, 2.10908029], [-7.69155394, 1.51846386], [-8.91095974, 1.77993997], [-5.93552449, 1.52801768], [-5.36474017, 1.51785005], [-7.70037203, 1.52649272], [-7.72252882, 1.4460509 ], [-8.90173699, 1.51129511], [-7.5657362 , 1.42867868], [-8.75925998, 1.3770478 ], [-7.8064288 , 1.48984425], [-7.85498586, 1.42761324], [-6.64218654, 1.493526 ], [-6.73389478, 1.48610991], [-6.74688406, 1.99637321], [-5.38911741, 1.55866568], [-7.35442938, 2.20955856], [-7.7479735 , 1.56617331], [-7.83655309, 2.64351706], [-8.10834376, 1.49537795], [-6.96232093, 1.45126018], [-6.51306432, 1.52313049], [-7.71148014, 2.3881692 ], [-6.60149463, 1.41834987], [-7.66933701, 1.43731608], [-7.21210536, 1.41445179], [-7.82611499, 1.36393177], [-7.03920022, 0.94004075], [-5.54641128, 1.53374782], [-7.7085175 , 1.49410113], [-7.8027686, 1.5022516], [-6.70755736, 1.48533168], [-6.58422388, 1.49948268], [-6.73474632, 1.42767844], [-6.5866091 , 1.39871618], [-8.88933264, 1.3953734 ], [-6.72981517, 1.50680789], [-6.97504199, 1.45129995], [-6.23756864, 1.46479922], [-6.4068882 , 1.46029517], [-8.87169355, 1.51606346], [-8.97504499, 1.44549621], [-7.72817821, 2.26832595], [-8.92306643, 1.19946184]]
#
# x = np.asarray([vetMedia[0][0], vetMedia[1][0], vetMedia[2][0], vetMedia[3][0], vetMedia[4][0], vetMedia[5][0], vetMedia[6][0], vetMedia[7][0], vetMedia[8][0]])
# y = np.asarray([vetMedia[0][1], vetMedia[1][1], vetMedia[2][1], vetMedia[3][1], vetMedia[4][1], vetMedia[5][1], vetMedia[6][1], vetMedia[7][1], vetMedia[8][1]])
# plt.plot(x, y)
# for x in vetPontos:
# plt.plot(x[0], x[1], 'o')
# plt.show()
# print(targets[:, 0])
# print(targets[:, 1])
# targets = np.array([[20, 20],
# [960, 20],
# [1900, 20],
# [1900, 540],
# [960, 540],
# [20, 540],
# [20, 1060],
# [960, 1060],
# [1900, 1060]], np.float64)
# targets = np.array([[20, 20],
# [960, 20],
# [1900, 20],
# [1900, 540],
# [960, 540],
# [20, 540],
# [20, 1060],
# [960, 1060],
# [1900, 1060]], np.float64)
# eyes = np.array([[0.0, 0.0],
# [0.5, 0.0],
# [1.0, 0.0],
# [1.0, 0.5],
# [0.5, 0.5],
# [0.0, 0.5],
# [0.0, 1.0],
# [0.5, 1.0],
# [1.0, 1.0]], np.float64)
#
# coeffsX = np.linalg.pinv(eyes).dot(targets[:, 0])
# coeffsY = np.linalg.pinv(eyes).dot(targets[:, 1])
# matrix = np.vstack((coeffsX, coeffsY))
# # matrix = np.array([[1920.0, 40.0], [40.0, 1080.0]], np.float64)
# pm = np.array([0.5, 0], np.float64)
#
# print('coeffsX: ', coeffsX)
# print('coeffsY: ', coeffsY)
# print('matrix: ', matrix)
# print('pm: ', pm)
#
# gaze = matrix.T.dot(pm)
# print('result: ', gaze)
# def get_equation(x, y):
# return np.array([x*x, y*y, x*y, x, y, 1])
# eyes = np.array([[0.0, 0.0],
# [0.5, 0.0],
# [1.0, 0.0],
# [1.0, 0.5],
# [0.5, 0.5],
# [0.0, 0.5],
# [0.0, 1.0],
# [0.5, 1.0],
# [1.0, 1.0]])
# eyes = np.array([[3.29094594, 6.01488458],
# [-4.23217415, 5.97621546],
# [-12.64338757, 5.4388204],
# [-11.06943859, 3.83121719],
# [-4.90428572, 4.33292053],
# [1.64777518, 4.79836256],
# [0.19614697, 3.1447778],
# [-11.25516758, 4.29846204],
# [-13.01463917, 5.56702358]])
#
# targets = np.array([[20, 20],
# [960, 20],
# [1900, 20],
# [1900, 540],
# [960, 540],
# [20, 540],
# [20, 1060],
# [960, 1060],
# [1900, 1060]])
#
# for x in targets:
# print(str(x[0])+','+str(x[1]))
# plt.plot(x[0], x[1], 'o','m')
# plt.show()
#
#
# poly = []
# for eye in eyes:
# poly.append(get_equation(eye[0], eye[1]))
# poly = np.asarray(poly)
#
# coeffsX = np.linalg.pinv(poly).dot(targets[:, 0])
# coeffsY = np.linalg.pinv(poly).dot(targets[:, 1])
# matrix = np.vstack((coeffsX, coeffsY))
#
# print(matrix.dot(get_equation(-4.23217415, 5.97621546)))
#
# plt.hist2d(eyes[:, 0],eyes[:, 1], normed='false', cmap='plasma')
# plt.show()
# vet = [1, 2, 3]
# print(vet)
# vet.pop(0)
# print(vet)
# for x in range(10):
# print(x)
# import ctypes
# user32 = ctypes.windll.user32
# sizeX = user32.GetSystemMetrics(0)
# sizeY = user32.GetSystemMetrics(1)
# vetTargets = [[20, 20], [(sizeX/2), 20], [sizeX, 20], [sizeX, (sizeY/2)], [(sizeX/2), (sizeY/2)], [20, (sizeY/2)], [20, sizeY], [(sizeX/2), sizeY], [sizeX, sizeY]]
# print(vetTargets)
# dp = [[4.129266369186453, 12.247612297977895], [4.129266369186453, 12.247612297977895], [74.88391567643659, 54.00744399852397], [71.74545776434316, 49.130539348644305], [10.914580901666127, 6.451857461347771], [7.746763164623232, 12.48296061870522], [7.746763164623232, 12.48296061870522], [25.621601562019293, 12.89620055536318], [11.99361486154227, 13.371795595852916], [20.40853966631866, 20.940660672003986], [24.86831296126377, 21.7776152954317], [63.35513114789583, 24.45139652758334], [22.675144244524333, 16.140265030165835], [19.916381927626816, 17.794388213689018], [26.642433993978983, 29.314816762780623], [18.84751745197515, 15.34167217718965], [19.689133167528553, 15.066055354110546], [20.095745070371734, 18.389344632235236], [26.49291638372833, 10.819249971773672], [20.26261435623374, 18.268358993192976], [18.700185469328773, 20.998731176470898], [21.507620166289342, 21.592309417441612], [14.541915986514084, 16.98662962048047], [33.67369231349397, 33.03608998096527], [16.277643833192485, 12.842262453871882], [17.283296469739398, 12.604386925304595], [19.43169271201755, 17.164512521827447], [23.885553313094967, 20.177408402982337], [18.927605637295358, 13.917528652313422], [12.286824082878596, 12.825796216337721], [7.789239845888474, 12.22768686385632], [8.527131911569995, 12.805257357206614], [13.907492631243187, 13.21553366291883], [8.909337918274218, 8.329261076774742], [6.380971894635749, 5.930817741900569], [12.484496802135709, 8.164216054925873], [8.118152788802547, 5.045538077131312], [6.862221620927315, 8.397183807606183], [80.72142558861593, 78.57228040707949], [83.03379084805461, 81.06126670203619], [51.14813677053915, 49.30520072064442], [6.359727037340278, 7.461473537025313], [12.561000047841759, 9.800210114665418], [60.25250046043401, 61.65907665783644], [6.131967675290056, 8.233221691248247], [9.325144375879063, 5.33679739886108], [10.535951007833205, 8.378431091927467], [7.0156554357673855, 5.250515308225403], [2.386187643119925, 2.2757740706261416], [20.23509117458103, 10.607416101259645], [23.705021624916398, 11.35382828399716], [27.75868925226711, 17.142282582633158], [26.084722283122026, 19.685836398393832], [74.5810111107371, 76.557557954555], [99.17159439110775, 95.6740411614849], [5.769307376122299, 4.693567520606251], [15.495604777381814, 14.268393186665122], [6.315064876759578, 2.4997465617426826], [13.507111014183565, 9.162741544943628], [93.234846233234, 61.760908282324976], [36.77303825125139, 18.323238938602174], [72.67030141821981, 75.6685283393725], [72.67030141821981, 75.6685283393725], [0.9061142303304024, 4.6913953687513015], [89.74265984002058, 60.690266728260156], [22.192346019299734, 22.228360149380393], [7.369855726706902, 3.2424417538894943], [379.4334499759244, 33.107453056065694], [414.45617190834776, 32.76453965379399], [592.9564408511663, 133.50839038950244], [595.7765785507207, 134.05614996084688], [534.6106065666673, 35.70463437716384], [518.0051248479226, 9.525828778766694], [529.3160084419114, 127.83360279555062], [537.751090066738, 134.05695821525126], [589.7605809411514, 138.06558108898287], [598.7334713842212, 140.02381224178998], [539.5235186577595, 139.45311585975986], [534.2203587709529, 131.41158118403803], [536.6046877545656, 137.8992725818919], [534.575426872018, 142.80966099097583], [484.6218782894425, 69.0682733067222], [512.2043109290236, 120.45250517938858], [533.3898131142893, 137.38514403510686], [535.2865724679303, 139.83940081222391], [535.0283976979479, 132.54520669923568], [521.2888475345139, 109.83996503810161], [518.3313830983886, 112.95920057382035], [488.82030911359215, 73.50523577465154], [513.0329311914555, 103.504790009048], [531.1215149120324, 131.3776069361138], [505.26569136123794, 96.12350139811119], [494.26319882157554, 79.7054050970631], [499.18113778178144, 86.8683377440159], [493.22199579039597, 78.06789401676288], [525.6645921870701, 125.65755342487743], [522.1788221792218, 120.70299283529653], [446.24214528149287, 0.7376130058074466], [444.4600609029079, 3.475873468864961], [441.9328479095759, 3.4553671834900967], [445.3976053499908, 2.262865208189254], [431.0514481013587, 20.236320295008937], [430.5464281730404, 21.11030324666936], [523.9427795967543, 112.53168044245706], [529.605022407239, 121.29030566232434], [536.3794277074489, 139.85479414609222], [536.6060804303887, 139.89740097356673], [559.679188034679, 138.82093631034002], [557.2463851207359, 138.75029060072777], [534.9547673341622, 138.49579171102488], [534.6177674083028, 138.07411786670912], [542.8821928002749, 138.650077345355], [542.7367825505779, 138.6718907056207], [536.2517836324502, 140.0720151573469], [536.2517836324502, 140.0720151573469], [535.5313457694348, 139.99435793790036], [535.5313457694348, 139.99435793790036], [508.301039109149, 94.01498485133095], [533.5534952452207, 133.68352535224204], [531.0599996084901, 120.82346213050825], [535.904635206944, 140.00777937084524], [537.465308517974, 140.12412542928752], [537.465308517974, 140.12412542928752], [413.3463598567063, 44.34270553531519], [449.2191455672131, 26.445786857340238], [416.73260602850667, 38.7021889775271], [425.821243658488, 23.265748041520155], [595.032763030085, 131.23040283618514], [512.545791416674, 98.08922864491115], [704.8134657086891, 307.40171836082845], [697.346067484163, 320.6709347796781], [1003.371321775904, 137.08613265047538], [987.9621435249969, 142.32433482282258], [1071.283800088535, 146.05965453389095], [1042.4083951285872, 38.10958019976832], [1031.9882570786392, 64.60764662304635], [1041.0008952616217, 110.93268844950026], [1002.7516638947724, 117.20548594603949], [1006.5009509605877, 117.15399302805318], [1004.8616586863355, 121.52856504799885], [1025.6934243008902, 85.77171992206686], [1014.8740231247688, 104.86352274955075], [1012.4413981932536, 114.97059914656543], [997.6266434081937, 118.32042180441502], [1008.0386866117682, 122.9915102387977], [993.1062215330957, 135.79849127904734], [999.1943716741782, 128.6936301199664], [1016.9550904681511, 116.73381057273932], [984.1107091850471, 204.58531566611717], [1009.754960068503, 141.1875739355116], [993.9367692153754, 130.87157797125369], [970.0020270704061, 147.46133886921817], [1014.14393737699, 119.44686646131422], [998.848041783028, 149.41134895815995], [998.4389084501696, 140.29279864915716], [888.339859322868, 270.8873165718654], [1014.0973986732221, 110.55896550094835], [1002.0444235141956, 136.3042033878693], [947.5048189421221, 123.52981326990763], [979.092639519244, 144.8729536444831], [991.2199344213838, 159.31921169729648], [981.8616756553312, 156.38360770374297], [922.9515917406816, 173.41563113871118], [987.182869896927, 137.82366867468252], [1066.5029719856907, 6.796282713039801], [995.0222091346039, 171.58257613682983], [977.123828143836, 137.04163591299002], [1012.3800518247255, 151.93009523389273], [1003.4380307105723, 165.6061424933698], [997.6185301293219, 171.4525741653034], [1003.3544065381558, 147.13241327950485], 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360.92979541475944], [890.1450288936268, 529.5980247620306], [868.4797298296943, 534.1919290470466], [957.6289864601778, 340.56537924574974]]
# medx = np.mean(dp[:60][0])
# medy = np.mean(dp[0][:60][0])
# print(dp[0:60])
# for x in range(540):
# if (x % 60) == 0:
# print(x)
# vet = np.array([1,1])
# vet2 = np.array([3,3])
# vetMed = np.vstack((vet, vet2))
# gaze = np.array([[1, 3], [3, 2]])
# target = np.array([[5,5]])
# print(np.asarray(vet))
# print('x: ', np.mean(vet[:, 0]))
# print('x: ', np.mean(vet[:, 1]))
# dEuc = np.linalg.norm(gaze[0][0]-target[0][0])
# dEucY = np.linalg.norm(gaze[0][1]-target[0][1])
# vet = [dEuc, dEucY]
# dP = np.std([vet, target[0]])
# print(vet)
# print('dp: ', dP)
#
# print(vet)
# for x in vetPontoMedio:
# # calcula distancia euclidiana
# gaze = matrix.dot(get_equation(x[0], x[1]))
# # calcula a distancia x e y do ponto ao target
# dEucX = np.linalg.norm(gaze[0] - targets[j][0])
# dEucY = np.linalg.norm(gaze[1] - targets[j][1])
# # adiciona ao vetor
# gazeVec.append([dEucX, dEucY])
# if (i % 60) == 0:
# # converte array para nparray
# aux = np.asarray(gazeVec)
# # calcula media
# medX = np.mean(aux[:, 0])
# medY = np.mean(aux[:, 1])
#
# dP = np.std([[medX, medY], targets[j]])
# vetDp.append(dP)
# gazeVec = []
# j = j + 1
# i = i + 1
# print('Desvio padrão: ', vetDp)
#
# print(targets[0][1])
#
# path, dirs, files = next(os.walk("./calib_out"))
# file_count = len(files)
#
# for x in range(10):
# plt.plot(x, x, 'o')
#
# fileName = './calib_out/'+str(file_count+1)
# plt.savefig(fileName+'.png')
#
# for x in range(5):
# plt.plot(x, 1, 'o')
# plt.savefig(fileName+'-2.png')
#
#
# text_file = open(fileName+'_output.txt', 'w')
# n = text_file.write(str(targets)+'\n'+'teste')
# text_file.close()
# f = open("./calib_out/1_data.txt", "r")
# var = f.read()
# var = var.split('Media DP:',1)[1]
# x = float(var)+5
# print(str(x))
# path, dirs, files = next(os.walk("./calib_out/data"))
# arr = []
# for f in files:
# aux = open('./calib_out/data/'+f)
# media = aux.read()
# media = media.split('Media DP:',1)[1]
# arr.append(float(media))
# plt.hist(arr, density=True, bins=10)
# plt.show()
# img = cv.imread('logo.png')
# cimg = cv.cvtColor(img,cv.COLOR_BGR2GRAY)
#
# circles = cv.HoughCircles(cimg,cv.HOUGH_GRADIENT,1,20,
# param1=50,param2=30,minRadius=0,maxRadius=0)
#
# circles = np.uint16(np.around(circles))
# for i in circles[0,:]:
# # draw the outer circle
# cv.circle(img,(i[0],i[1]),i[2],(0,255,0),2)
# # draw the center of the circle
# cv.circle(img,(i[0],i[1]),2,(0,0,255),3)
#
# cv.imshow('detected circles',img)
# cv.waitKey(0)
# cv.destroyAllWindows()
# outputVet = []
# captura = cv.VideoCapture(0)
# # Inicia sessão
# pygame.init()
# ## calibracao ##
# # tela cheia
# os.environ['SDL_VIDEO_CENTERED'] = '1'
# # Define algumas cores colors
# BLACK = (0, 0, 0)
# WHITE = (255, 255, 255)
# # Seta a largura e a altura da tela utilizada [width, height](só funciona para windows)
# user32 = ctypes.windll.user32
# # 1366 768- tamanho da minha tela
# sizeX = user32.GetSystemMetrics(0)
# sizeY = user32.GetSystemMetrics(1)
# size = sizeX, sizeY
# screen = pygame.display.set_mode((0, 0), pygame.FULLSCREEN)
# run = True
# k = 0
# while run:
# pygame.event.pump()
# global vet
# global pause
# i = 0
# done = False
# screen.fill(BLACK)
# px = random.randint(0, sizeX)
# py = random.randint(0, sizeY)
# pygame.draw.rect(screen, (255, 255, 0), [px, py, 40, 40])
# pygame.display.flip()
# time.sleep(1)
# ready = False
# #CAPTURA 60 POSIÇÕES NO PONTO ATUAL DA ANIMAÇÃO
# for x in range(60):
# ret, frame = captura.read()
# outputVet.append(frame)
#
# if len(outputVet) == 360:
# run = False
#
# pygame.quit()
# print('vetSize ', len(outputVet))
# # Finaliza captura da camera #
# captura.release()
vet = np.array([[1,2], [3, 4]])
print(np.mean(vet[:, 0])) | 355.657407 | 21,958 | 0.654448 | 14,530 | 115,233 | 5.188782 | 0.51404 | 0.000849 | 0.000438 | 0.000318 | 0.013582 | 0.010319 | 0.009205 | 0.008091 | 0.004191 | 0.004191 | 0 | 0.694481 | 0.103529 | 115,233 | 324 | 21,959 | 355.657407 | 0.035343 | 0.990064 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.8 | 0 | 0.8 | 0.1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 1 | 0 | 1 | 0 | 0 | 7 |
02e3a768683052a9710141c994fdd0efb6b2330b | 1,877 | py | Python | tests/test_set_difference.py | koodaa-team/redis-natives-py | dbe3ee65527a7a1b0b1dc35ae968588635732718 | [
"MIT"
] | 1 | 2022-02-17T20:02:51.000Z | 2022-02-17T20:02:51.000Z | tests/test_set_difference.py | koodaa-team/redis-natives-py | dbe3ee65527a7a1b0b1dc35ae968588635732718 | [
"MIT"
] | null | null | null | tests/test_set_difference.py | koodaa-team/redis-natives-py | dbe3ee65527a7a1b0b1dc35ae968588635732718 | [
"MIT"
] | null | null | null | from tests import IntegerSetTestCase, SetTestCase
class TestSetDifference(SetTestCase):
def test_difference(self):
self.set.add(1)
self.set.add(2)
self.set.add(3)
assert self.set.difference(set(['1', '2'])) == set(['3'])
def test_substraction_operator(self):
self.set.add(1)
self.set.add(2)
self.set.add(3)
assert self.set - set(['1', '2']) == set(['3'])
def test_difference_update(self):
self.set.add(1)
self.set.add(2)
self.set.add(3)
self.set.difference_update(set(['1', '2']))
assert self.set.data == set(['3'])
def test_substraction_assignment_operator(self):
self.set.add(1)
self.set.add(2)
self.set.add(3)
self.set -= set(['1', '2'])
assert self.set.data == set(['3'])
class TestIntegerSetDifference(IntegerSetTestCase):
def test_difference(self):
self.set.add(1)
self.set.add(2)
self.set.add(3)
assert self.set.difference(set([1, 2])) == set([3])
def test_substraction_operator(self):
self.set.add(1)
self.set.add(2)
self.set.add(3)
assert self.set - set([1, 2]) == set([3])
def test_difference_update(self):
self.set.add(1)
self.set.add(2)
self.set.add(3)
self.set.difference_update(set([1, 2]))
assert self.set.data == set([3])
def test_difference_update_accepts_redis_sets(self):
self.set.add(1)
self.set.add(2)
self.set.add(3)
self.other_set.add(2)
self.set.difference_update(self.other_set)
assert self.set.data == set([1, 3])
def test_substraction_assignment_operator(self):
self.set.add(1)
self.set.add(2)
self.set.add(3)
self.set -= set([1, 2])
assert self.set.data == set([3])
| 28.439394 | 65 | 0.572722 | 268 | 1,877 | 3.914179 | 0.100746 | 0.273594 | 0.257388 | 0.104862 | 0.834128 | 0.801716 | 0.786463 | 0.786463 | 0.786463 | 0.786463 | 0 | 0.039102 | 0.264251 | 1,877 | 65 | 66 | 28.876923 | 0.720492 | 0 | 0 | 0.722222 | 0 | 0 | 0.006393 | 0 | 0 | 0 | 0 | 0 | 0.166667 | 1 | 0.166667 | false | 0 | 0.018519 | 0 | 0.222222 | 0 | 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 |
02f7c1c5576d3c6d293cc02d3b9f286ba3802ed6 | 1,347 | py | Python | linkprediction/prediction_methods/prediction/others.py | ESM-analytics/Tie-Prediction-Tool | 7c060a62c6c47e2d59e7df0870358d6663487817 | [
"MIT"
] | 1 | 2021-02-23T06:36:03.000Z | 2021-02-23T06:36:03.000Z | linkprediction/prediction_methods/prediction/others.py | ESM-analytics/Tie-Prediction-Tool | 7c060a62c6c47e2d59e7df0870358d6663487817 | [
"MIT"
] | 1 | 2022-03-02T09:59:27.000Z | 2022-03-02T09:59:27.000Z | linkprediction/prediction_methods/prediction/others.py | social-media-analytics-research/tie-prediction-tool | 7c060a62c6c47e2d59e7df0870358d6663487817 | [
"MIT"
] | null | null | null | from .predictor import LinkPredictor
class UAttribute(LinkPredictor):
def __init__(self, graph, attribute):
super().__init__(graph)
self.attribute = attribute
def predict(self, node_pairs):
try:
attributes = [(node_pair[0], node_pair[1], self.graph.nodes[node_pairs[0]][self.attribute])
for node_pair in node_pairs]
except Exception:
raise ValueError('Invalid node attribute value. '
'It must be defined in the graph!')
return attributes
def __repr__(self):
return self.__str__()
def __str__(self):
return 'UAttribute'
class VAttribute(LinkPredictor):
def __init__(self, graph, attribute):
super().__init__(graph)
self.attribute = attribute
def predict(self, node_pairs):
try:
attributes = [(node_pair[0], node_pair[1], self.graph.nodes[node_pairs[1]][self.attribute])
for node_pair in node_pairs]
except Exception:
raise ValueError('Invalid node attribute value. '
'It must be defined in the graph!')
return attributes
def __repr__(self):
return self.__str__()
def __str__(self):
return 'VAttribute'
| 29.282609 | 103 | 0.579065 | 142 | 1,347 | 5.126761 | 0.267606 | 0.074176 | 0.054945 | 0.065934 | 0.884615 | 0.884615 | 0.884615 | 0.884615 | 0.884615 | 0.884615 | 0 | 0.006659 | 0.331106 | 1,347 | 45 | 104 | 29.933333 | 0.801332 | 0 | 0 | 0.787879 | 0 | 0 | 0.106904 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.242424 | false | 0 | 0.030303 | 0.121212 | 0.515152 | 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 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 10 |
02fe0fa90b74ea7bf72fee5b570d47ed826a69ff | 86 | py | Python | novgrid/envs/__init__.py | eilab-gt/NovGrid | 0d73bfe70b56d2ab5364801c5ef6721b2103124d | [
"Apache-2.0"
] | 14 | 2022-03-22T04:53:24.000Z | 2022-03-31T05:07:12.000Z | novgrid/envs/__init__.py | eilab-gt/NovGrid | 0d73bfe70b56d2ab5364801c5ef6721b2103124d | [
"Apache-2.0"
] | null | null | null | novgrid/envs/__init__.py | eilab-gt/NovGrid | 0d73bfe70b56d2ab5364801c5ef6721b2103124d | [
"Apache-2.0"
] | null | null | null | from novgrid.envs.multidoormultikey import *
from novgrid.envs.lavagapdoorkey import * | 43 | 44 | 0.848837 | 10 | 86 | 7.3 | 0.6 | 0.30137 | 0.410959 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.081395 | 86 | 2 | 45 | 43 | 0.924051 | 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 |
b83604d2658fd132bdc2d788718362028334ce4c | 10,154 | py | Python | calculating_model_score/calculate_atis_slot.py | SmallStom/slot_learning | 73753a1ecec61ee1cdb5bb6356f80f0ee552128a | [
"Apache-2.0"
] | 418 | 2019-03-18T07:57:44.000Z | 2022-03-30T13:42:16.000Z | calculating_model_score/calculate_atis_slot.py | SmallStom/slot_learning | 73753a1ecec61ee1cdb5bb6356f80f0ee552128a | [
"Apache-2.0"
] | 34 | 2019-03-18T08:20:36.000Z | 2022-03-02T14:59:28.000Z | calculating_model_score/calculate_atis_slot.py | SmallStom/slot_learning | 73753a1ecec61ee1cdb5bb6356f80f0ee552128a | [
"Apache-2.0"
] | 100 | 2019-04-09T04:28:10.000Z | 2022-03-10T08:05:05.000Z | import os
from sklearn_metrics_function import show_metrics,delete_both_sides_is_O_word
ATIS_slot_label = ['[Padding]', '[##WordPiece]', '[CLS]', '[SEP]', 'B-aircraft_code', 'B-airline_code', 'B-airline_name', 'B-airport_code', 'B-airport_name', 'B-arrive_date.date_relative', 'B-arrive_date.day_name', 'B-arrive_date.day_number', 'B-arrive_date.month_name', 'B-arrive_date.today_relative', 'B-arrive_time.end_time', 'B-arrive_time.period_mod', 'B-arrive_time.period_of_day', 'B-arrive_time.start_time', 'B-arrive_time.time', 'B-arrive_time.time_relative', 'B-booking_class', 'B-city_name', 'B-class_type', 'B-compartment', 'B-connect', 'B-cost_relative', 'B-day_name', 'B-day_number', 'B-days_code', 'B-depart_date.date_relative', 'B-depart_date.day_name', 'B-depart_date.day_number', 'B-depart_date.month_name', 'B-depart_date.today_relative', 'B-depart_date.year', 'B-depart_time.end_time', 'B-depart_time.period_mod', 'B-depart_time.period_of_day', 'B-depart_time.start_time', 'B-depart_time.time', 'B-depart_time.time_relative', 'B-economy', 'B-fare_amount', 'B-fare_basis_code', 'B-flight', 'B-flight_days', 'B-flight_mod', 'B-flight_number', 'B-flight_stop', 'B-flight_time', 'B-fromloc.airport_code', 'B-fromloc.airport_name', 'B-fromloc.city_name', 'B-fromloc.state_code', 'B-fromloc.state_name', 'B-meal', 'B-meal_code', 'B-meal_description', 'B-mod', 'B-month_name', 'B-or', 'B-period_of_day', 'B-restriction_code', 'B-return_date.date_relative', 'B-return_date.day_name', 'B-return_date.day_number', 'B-return_date.month_name', 'B-return_date.today_relative', 'B-return_time.period_mod', 'B-return_time.period_of_day', 'B-round_trip', 'B-state_code', 'B-state_name', 'B-stoploc.airport_code', 'B-stoploc.airport_name', 'B-stoploc.city_name', 'B-stoploc.state_code', 'B-time', 'B-time_relative', 'B-today_relative', 'B-toloc.airport_code', 'B-toloc.airport_name', 'B-toloc.city_name', 'B-toloc.country_name', 'B-toloc.state_code', 'B-toloc.state_name', 'B-transport_type', 'I-airline_name', 'I-airport_name', 'I-arrive_date.day_number', 'I-arrive_time.end_time', 'I-arrive_time.period_of_day', 'I-arrive_time.start_time', 'I-arrive_time.time', 'I-arrive_time.time_relative', 'I-city_name', 'I-class_type', 'I-cost_relative', 'I-depart_date.day_number', 'I-depart_date.today_relative', 'I-depart_time.end_time', 'I-depart_time.period_of_day', 'I-depart_time.start_time', 'I-depart_time.time', 'I-depart_time.time_relative', 'I-economy', 'I-fare_amount', 'I-fare_basis_code', 'I-flight_mod', 'I-flight_number', 'I-flight_stop', 'I-flight_time', 'I-fromloc.airport_name', 'I-fromloc.city_name', 'I-fromloc.state_name', 'I-meal_code', 'I-meal_description', 'I-restriction_code', 'I-return_date.date_relative', 'I-return_date.day_number', 'I-return_date.today_relative', 'I-round_trip', 'I-state_name', 'I-stoploc.city_name', 'I-time', 'I-today_relative', 'I-toloc.airport_name', 'I-toloc.city_name', 'I-toloc.state_name', 'I-transport_type', 'O']
ATIS_slot_effective_label = ['B-aircraft_code', 'B-airline_code', 'B-airline_name', 'B-airport_code', 'B-airport_name', 'B-arrive_date.date_relative', 'B-arrive_date.day_name', 'B-arrive_date.day_number', 'B-arrive_date.month_name', 'B-arrive_date.today_relative', 'B-arrive_time.end_time', 'B-arrive_time.period_mod', 'B-arrive_time.period_of_day', 'B-arrive_time.start_time', 'B-arrive_time.time', 'B-arrive_time.time_relative', 'B-booking_class', 'B-city_name', 'B-class_type', 'B-compartment', 'B-connect', 'B-cost_relative', 'B-day_name', 'B-day_number', 'B-days_code', 'B-depart_date.date_relative', 'B-depart_date.day_name', 'B-depart_date.day_number', 'B-depart_date.month_name', 'B-depart_date.today_relative', 'B-depart_date.year', 'B-depart_time.end_time', 'B-depart_time.period_mod', 'B-depart_time.period_of_day', 'B-depart_time.start_time', 'B-depart_time.time', 'B-depart_time.time_relative', 'B-economy', 'B-fare_amount', 'B-fare_basis_code', 'B-flight', 'B-flight_days', 'B-flight_mod', 'B-flight_number', 'B-flight_stop', 'B-flight_time', 'B-fromloc.airport_code', 'B-fromloc.airport_name', 'B-fromloc.city_name', 'B-fromloc.state_code', 'B-fromloc.state_name', 'B-meal', 'B-meal_code', 'B-meal_description', 'B-mod', 'B-month_name', 'B-or', 'B-period_of_day', 'B-restriction_code', 'B-return_date.date_relative', 'B-return_date.day_name', 'B-return_date.day_number', 'B-return_date.month_name', 'B-return_date.today_relative', 'B-return_time.period_mod', 'B-return_time.period_of_day', 'B-round_trip', 'B-state_code', 'B-state_name', 'B-stoploc.airport_code', 'B-stoploc.airport_name', 'B-stoploc.city_name', 'B-stoploc.state_code', 'B-time', 'B-time_relative', 'B-today_relative', 'B-toloc.airport_code', 'B-toloc.airport_name', 'B-toloc.city_name', 'B-toloc.country_name', 'B-toloc.state_code', 'B-toloc.state_name', 'B-transport_type', 'I-airline_name', 'I-airport_name', 'I-arrive_date.day_number', 'I-arrive_time.end_time', 'I-arrive_time.period_of_day', 'I-arrive_time.start_time', 'I-arrive_time.time', 'I-arrive_time.time_relative', 'I-city_name', 'I-class_type', 'I-cost_relative', 'I-depart_date.day_number', 'I-depart_date.today_relative', 'I-depart_time.end_time', 'I-depart_time.period_of_day', 'I-depart_time.start_time', 'I-depart_time.time', 'I-depart_time.time_relative', 'I-economy', 'I-fare_amount', 'I-fare_basis_code', 'I-flight_mod', 'I-flight_number', 'I-flight_stop', 'I-flight_time', 'I-fromloc.airport_name', 'I-fromloc.city_name', 'I-fromloc.state_name', 'I-meal_code', 'I-meal_description', 'I-restriction_code', 'I-return_date.date_relative', 'I-return_date.day_number', 'I-return_date.today_relative', 'I-round_trip', 'I-state_name', 'I-stoploc.city_name', 'I-time', 'I-today_relative', 'I-toloc.airport_name', 'I-toloc.city_name', 'I-toloc.state_name', 'I-transport_type', 'O']
ATIS_slot_effective_label2 = ['B-aircraft_code', 'B-airline_code', 'B-airline_name', 'B-airport_code', 'B-airport_name', 'B-arrive_date.date_relative', 'B-arrive_date.day_name', 'B-arrive_date.day_number', 'B-arrive_date.month_name', 'B-arrive_date.today_relative', 'B-arrive_time.end_time', 'B-arrive_time.period_mod', 'B-arrive_time.period_of_day', 'B-arrive_time.start_time', 'B-arrive_time.time', 'B-arrive_time.time_relative', 'B-booking_class', 'B-city_name', 'B-class_type', 'B-compartment', 'B-connect', 'B-cost_relative', 'B-day_name', 'B-day_number', 'B-days_code', 'B-depart_date.date_relative', 'B-depart_date.day_name', 'B-depart_date.day_number', 'B-depart_date.month_name', 'B-depart_date.today_relative', 'B-depart_date.year', 'B-depart_time.end_time', 'B-depart_time.period_mod', 'B-depart_time.period_of_day', 'B-depart_time.start_time', 'B-depart_time.time', 'B-depart_time.time_relative', 'B-economy', 'B-fare_amount', 'B-fare_basis_code', 'B-flight', 'B-flight_days', 'B-flight_mod', 'B-flight_number', 'B-flight_stop', 'B-flight_time', 'B-fromloc.airport_code', 'B-fromloc.airport_name', 'B-fromloc.city_name', 'B-fromloc.state_code', 'B-fromloc.state_name', 'B-meal', 'B-meal_code', 'B-meal_description', 'B-mod', 'B-month_name', 'B-or', 'B-period_of_day', 'B-restriction_code', 'B-return_date.date_relative', 'B-return_date.day_name', 'B-return_date.day_number', 'B-return_date.month_name', 'B-return_date.today_relative', 'B-return_time.period_mod', 'B-return_time.period_of_day', 'B-round_trip', 'B-state_code', 'B-state_name', 'B-stoploc.airport_code', 'B-stoploc.airport_name', 'B-stoploc.city_name', 'B-stoploc.state_code', 'B-time', 'B-time_relative', 'B-today_relative', 'B-toloc.airport_code', 'B-toloc.airport_name', 'B-toloc.city_name', 'B-toloc.country_name', 'B-toloc.state_code', 'B-toloc.state_name', 'B-transport_type', 'I-airline_name', 'I-airport_name', 'I-arrive_date.day_number', 'I-arrive_time.end_time', 'I-arrive_time.period_of_day', 'I-arrive_time.start_time', 'I-arrive_time.time', 'I-arrive_time.time_relative', 'I-city_name', 'I-class_type', 'I-cost_relative', 'I-depart_date.day_number', 'I-depart_date.today_relative', 'I-depart_time.end_time', 'I-depart_time.period_of_day', 'I-depart_time.start_time', 'I-depart_time.time', 'I-depart_time.time_relative', 'I-economy', 'I-fare_amount', 'I-fare_basis_code', 'I-flight_mod', 'I-flight_number', 'I-flight_stop', 'I-flight_time', 'I-fromloc.airport_name', 'I-fromloc.city_name', 'I-fromloc.state_name', 'I-meal_code', 'I-meal_description', 'I-restriction_code', 'I-return_date.date_relative', 'I-return_date.day_number', 'I-return_date.today_relative', 'I-round_trip', 'I-state_name', 'I-stoploc.city_name', 'I-time', 'I-today_relative', 'I-toloc.airport_name', 'I-toloc.city_name', 'I-toloc.state_name', 'I-transport_type']
with open(os.path.join("ATIS_solt", "seq.out")) as label_f:
label_list = [label.replace("\n", "") for label in label_f.readlines()]
label_list = [seq.split() for seq in label_list]
#print(len(label_list), label_list)
with open(os.path.join("ATIS_solt", "label_test.txt")) as predict_f:
predict_list = [predict_label.replace("\n", "") for predict_label in predict_f.readlines()]
#print(len(predict_list), predict_list)
predict_sentence_list = []
for word in predict_list:
if "[CLS]" == word:
a_sentence = []
a_sentence.append(word)
if "[SEP]" == word:
predict_sentence_list.append(a_sentence)
#print(len(predict_sentence_list), predict_sentence_list)
y_test_list = []
clean_y_predict_list = []
assert len(label_list)==len(predict_sentence_list)
for y_test, y_predict in zip(label_list, predict_sentence_list):
y_predict.remove('[CLS]')
y_predict.remove('[SEP]')
while '[Padding]' in y_predict:
y_predict.remove('[Padding]')
while '[##WordPiece]' in y_predict:
y_predict.remove('[##WordPiece]')
if len(y_predict)!=len(y_test):
print(y_predict)
print(y_test)
print("~"*100)
y_test_list.extend(y_test)
clean_y_predict_list.extend(y_predict)
assert len(y_test_list)==len(clean_y_predict_list)
y_test_list, clean_y_predict_list = delete_both_sides_is_O_word(y_test_list, clean_y_predict_list)
show_metrics(y_test=y_test_list, y_predict=clean_y_predict_list, labels=ATIS_slot_effective_label2)
| 191.584906 | 2,865 | 0.742269 | 1,720 | 10,154 | 4.032558 | 0.061047 | 0.045415 | 0.033737 | 0.032439 | 0.879758 | 0.873558 | 0.860294 | 0.849048 | 0.840398 | 0.840398 | 0 | 0.000527 | 0.064901 | 10,154 | 52 | 2,866 | 195.269231 | 0.729963 | 0.012606 | 0 | 0 | 0 | 0 | 0.699661 | 0.34095 | 0 | 0 | 0 | 0 | 0.055556 | 1 | 0 | false | 0 | 0.055556 | 0 | 0.055556 | 0.083333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
b861261d9d2f29641c956dc1232c4c9748443896 | 11,496 | py | Python | boa3_test/tests/compiler_tests/test_native/test_ledger.py | OnBlockIO/neo3-boa | cb317292a67532a52ed26f2b0f0f7d0b10ac5f5f | [
"Apache-2.0"
] | 25 | 2020-07-22T19:37:43.000Z | 2022-03-08T03:23:55.000Z | boa3_test/tests/compiler_tests/test_native/test_ledger.py | OnBlockIO/neo3-boa | cb317292a67532a52ed26f2b0f0f7d0b10ac5f5f | [
"Apache-2.0"
] | 419 | 2020-04-23T17:48:14.000Z | 2022-03-31T13:17:45.000Z | boa3_test/tests/compiler_tests/test_native/test_ledger.py | OnBlockIO/neo3-boa | cb317292a67532a52ed26f2b0f0f7d0b10ac5f5f | [
"Apache-2.0"
] | 15 | 2020-05-21T21:54:24.000Z | 2021-11-18T06:17:24.000Z | from boa3 import constants
from boa3.boa3 import Boa3
from boa3.exception import CompilerError
from boa3.model.builtin.interop.interop import Interop
from boa3.neo.vm.opcode.Opcode import Opcode
from boa3.neo.vm.type.Integer import Integer
from boa3.neo.vm.type.String import String
from boa3.neo3.contracts import CallFlags
from boa3.neo3.core.types import UInt160, UInt256
from boa3_test.tests.boa_test import BoaTest
from boa3_test.tests.test_classes.testengine import TestEngine
class TestLedgerContract(BoaTest):
default_folder: str = 'test_sc/native_test/ledger'
def test_get_block_by_hash(self):
path = self.get_contract_path('GetBlockByHash.py')
engine = TestEngine()
engine.increase_block(1)
block_hash = bytes(32)
result = self.run_smart_contract(engine, path, 'Main', block_hash)
self.assertIsNone(result)
from boa3.neo import from_hex_str
# TODO: using genesis block hash for testing, change when TestEngine returns blocks hashes
block_hash = from_hex_str('0x1f4d1defa46faa5e7b9b8d3f79a06bec777d7c26c4aa5f6f5899a291daa87c15')
result = self.run_smart_contract(engine, path, 'Main', block_hash)
self.assertIsInstance(result, list)
self.assertEqual(10, len(result))
self.assertEqual(block_hash, result[0])
self.assertEqual(0, result[6]) # genesis block's index is zero
def test_get_block_by_index(self):
path = self.get_contract_path('GetBlockByIndex.py')
engine = TestEngine()
index = 0
result = self.run_smart_contract(engine, path, 'Main', index)
self.assertIsInstance(result, list)
self.assertEqual(10, len(result))
self.assertEqual(index, result[6])
index = 10
result = self.run_smart_contract(engine, path, 'Main', index)
self.assertIsNone(result)
engine.increase_block(10)
result = self.run_smart_contract(engine, path, 'Main', index)
self.assertIsInstance(result, list)
self.assertEqual(10, len(result))
self.assertEqual(index, result[6])
def test_get_block_mismatched_types(self):
path = self.get_contract_path('GetBlockMismatchedTypes.py')
self.assertCompilerLogs(CompilerError.MismatchedTypes, path)
def test_get_transaction(self):
call_flags = Integer(CallFlags.ALL).to_byte_array(signed=True, min_length=1)
method = String('getTransaction').to_bytes()
expected_output = (
Opcode.INITSLOT
+ b'\x00\x01'
+ Opcode.LDARG0
+ Opcode.PUSH1
+ Opcode.PACK
+ Opcode.PUSHDATA1
+ Integer(len(call_flags)).to_byte_array()
+ call_flags
+ Opcode.PUSHDATA1
+ Integer(len(method)).to_byte_array()
+ method
+ Opcode.PUSHDATA1
+ Integer(len(constants.LEDGER_SCRIPT)).to_byte_array()
+ constants.LEDGER_SCRIPT
+ Opcode.SYSCALL
+ Interop.CallContract.interop_method_hash
+ Opcode.RET
)
path = self.get_contract_path('GetTransaction.py')
output = Boa3.compile(path)
self.assertEqual(expected_output, output)
path_burn_gas = self.get_contract_path('../../interop_test/runtime', 'BurnGas.py')
engine = TestEngine()
engine.increase_block()
sender = bytes(range(20))
self.run_smart_contract(engine, path_burn_gas, 'main', 1000, signer_accounts=[sender])
txs = engine.get_transactions()
self.assertGreater(len(txs), 0)
hash_ = txs[0].hash
script = txs[0]._script
result = self.run_smart_contract(engine, path, 'main', hash_)
self.assertEqual(8, len(result))
if isinstance(result[0], str):
result[0] = String(result[0]).to_bytes()
self.assertEqual(UInt256(hash_), UInt256(result[0])) # hash
self.assertIsInstance(result[1], int) # version
self.assertIsInstance(result[2], int) # nonce
if isinstance(result[3], str):
result[3] = String(result[3]).to_bytes()
self.assertEqual(UInt160(sender), UInt160(result[3])) # sender
self.assertIsInstance(result[4], int) # system_fee
self.assertIsInstance(result[5], int) # network_fee
self.assertIsInstance(result[6], int) # valid_until_block
if isinstance(result[7], str):
result[7] = String(result[7]).to_bytes()
self.assertEqual(script, result[7]) # script
def test_get_transaction_mismatched_type(self):
path = self.get_contract_path('GetTransactionMismatchedType.py')
self.assertCompilerLogs(CompilerError.MismatchedTypes, path)
def test_get_transaction_from_block_int(self):
call_flags = Integer(CallFlags.ALL).to_byte_array(signed=True, min_length=1)
method = String('getTransactionFromBlock').to_bytes()
expected_output = (
Opcode.INITSLOT
+ b'\x00\x02'
+ Opcode.LDARG1
+ Opcode.LDARG0
+ Opcode.PUSH2
+ Opcode.PACK
+ Opcode.PUSHDATA1
+ Integer(len(call_flags)).to_byte_array()
+ call_flags
+ Opcode.PUSHDATA1
+ Integer(len(method)).to_byte_array()
+ method
+ Opcode.PUSHDATA1
+ Integer(len(constants.LEDGER_SCRIPT)).to_byte_array()
+ constants.LEDGER_SCRIPT
+ Opcode.SYSCALL
+ Interop.CallContract.interop_method_hash
+ Opcode.RET
)
path = self.get_contract_path('GetTransactionFromBlockInt.py')
output = Boa3.compile(path)
self.assertEqual(expected_output, output)
path_burn_gas = self.get_contract_path('../../interop_test/runtime', 'BurnGas.py')
engine = TestEngine()
engine.increase_block(10)
sender = bytes(range(20))
self.run_smart_contract(engine, path_burn_gas, 'main', 100, signer_accounts=[sender])
block_10 = engine.current_block
txs = block_10.get_transactions()
hash_ = txs[0].hash
script = txs[0]._script
engine.increase_block()
result = self.run_smart_contract(engine, path, 'main', 10, 0)
self.assertEqual(8, len(result))
if isinstance(result[0], str):
result[0] = String(result[0]).to_bytes()
self.assertEqual(UInt256(hash_), UInt256(result[0])) # hash
self.assertIsInstance(result[1], int) # version
self.assertIsInstance(result[2], int) # nonce
if isinstance(result[3], str):
result[3] = String(result[3]).to_bytes()
self.assertEqual(UInt160(sender), UInt160(result[3])) # sender
self.assertIsInstance(result[4], int) # system_fee
self.assertIsInstance(result[5], int) # network_fee
self.assertIsInstance(result[6], int) # valid_until_block
if isinstance(result[7], str):
result[7] = String(result[7]).to_bytes()
self.assertEqual(script, result[7]) # script
def test_get_transaction_from_block_uint256(self):
call_flags = Integer(CallFlags.ALL).to_byte_array(signed=True, min_length=1)
method = String('getTransactionFromBlock').to_bytes()
expected_output = (
Opcode.INITSLOT
+ b'\x00\x02'
+ Opcode.LDARG1
+ Opcode.LDARG0
+ Opcode.PUSH2
+ Opcode.PACK
+ Opcode.PUSHDATA1
+ Integer(len(call_flags)).to_byte_array()
+ call_flags
+ Opcode.PUSHDATA1
+ Integer(len(method)).to_byte_array()
+ method
+ Opcode.PUSHDATA1
+ Integer(len(constants.LEDGER_SCRIPT)).to_byte_array()
+ constants.LEDGER_SCRIPT
+ Opcode.SYSCALL
+ Interop.CallContract.interop_method_hash
+ Opcode.RET
)
path = self.get_contract_path('GetTransactionFromBlockUInt256.py')
output = Boa3.compile(path)
self.assertEqual(expected_output, output)
path_burn_gas = self.get_contract_path('../../interop_test/runtime', 'BurnGas.py')
engine = TestEngine()
engine.increase_block(10)
sender = bytes(range(20))
self.run_smart_contract(engine, path_burn_gas, 'main', 100, signer_accounts=[sender])
block_10 = engine.current_block
block_hash = block_10.hash
self.assertIsNotNone(block_hash)
txs = block_10.get_transactions()
tx_hash = txs[0].hash
tx_script = txs[0]._script
engine.increase_block()
result = self.run_smart_contract(engine, path, 'main', block_hash, 0)
self.assertEqual(8, len(result))
if isinstance(result[0], str):
result[0] = String(result[0]).to_bytes()
self.assertEqual(UInt256(tx_hash), UInt256(result[0])) # hash
self.assertIsInstance(result[1], int) # version
self.assertIsInstance(result[2], int) # nonce
if isinstance(result[3], str):
result[3] = String(result[3]).to_bytes()
self.assertEqual(UInt160(sender), UInt160(result[3])) # sender
self.assertIsInstance(result[4], int) # system_fee
self.assertIsInstance(result[5], int) # network_fee
self.assertIsInstance(result[6], int) # valid_until_block
if isinstance(result[7], str):
result[7] = String(result[7]).to_bytes()
self.assertEqual(tx_script, result[7]) # script
def test_get_transaction_from_block_mismatched_type(self):
path = self.get_contract_path('GetTransactionFromBlockMismatchedType.py')
self.assertCompilerLogs(CompilerError.MismatchedTypes, path)
def test_get_transaction_height(self):
call_flags = Integer(CallFlags.ALL).to_byte_array(signed=True, min_length=1)
method = String('getTransactionHeight').to_bytes()
expected_output = (
Opcode.INITSLOT
+ b'\x00\x01'
+ Opcode.LDARG0
+ Opcode.PUSH1
+ Opcode.PACK
+ Opcode.PUSHDATA1
+ Integer(len(call_flags)).to_byte_array()
+ call_flags
+ Opcode.PUSHDATA1
+ Integer(len(method)).to_byte_array()
+ method
+ Opcode.PUSHDATA1
+ Integer(len(constants.LEDGER_SCRIPT)).to_byte_array()
+ constants.LEDGER_SCRIPT
+ Opcode.SYSCALL
+ Interop.CallContract.interop_method_hash
+ Opcode.RET
)
path = self.get_contract_path('GetTransactionHeight.py')
output = Boa3.compile(path)
self.assertEqual(expected_output, output)
path_burn_gas = self.get_contract_path('../../interop_test/runtime', 'BurnGas.py')
engine = TestEngine()
expected_block_index = 10
engine.increase_block(expected_block_index)
self.run_smart_contract(engine, path_burn_gas, 'main', 1000)
txs = engine.get_transactions()
self.assertGreater(len(txs), 0)
hash_ = txs[0].hash
result = self.run_smart_contract(engine, path, 'main', hash_)
self.assertEqual(expected_block_index, result)
def test_get_transaction_height_mismatched_type(self):
path = self.get_contract_path('GetTransactionHeightMismatchedType.py')
self.assertCompilerLogs(CompilerError.MismatchedTypes, path)
| 39.916667 | 103 | 0.637091 | 1,294 | 11,496 | 5.448223 | 0.120556 | 0.051064 | 0.066383 | 0.037731 | 0.817872 | 0.796454 | 0.770496 | 0.770496 | 0.749078 | 0.749078 | 0 | 0.031155 | 0.254523 | 11,496 | 287 | 104 | 40.055749 | 0.791482 | 0.029576 | 0 | 0.756098 | 0 | 0 | 0.060293 | 0.041423 | 0 | 0 | 0.00593 | 0.003484 | 0.207317 | 1 | 0.04065 | false | 0 | 0.04878 | 0 | 0.097561 | 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 |
b861d17b1de487ec111a74c8878ea1f661a55f66 | 95 | py | Python | 01_IO_Operation/Step09/gamjapark.py | StudyForCoding/BEAKJOON | 84e1c5e463255e919ccf6b6a782978c205420dbf | [
"MIT"
] | null | null | null | 01_IO_Operation/Step09/gamjapark.py | StudyForCoding/BEAKJOON | 84e1c5e463255e919ccf6b6a782978c205420dbf | [
"MIT"
] | 3 | 2020-11-04T05:38:53.000Z | 2021-03-02T02:15:19.000Z | 01_IO_Operation/Step09/gamjapark.py | StudyForCoding/BEAKJOON | 84e1c5e463255e919ccf6b6a782978c205420dbf | [
"MIT"
] | null | null | null | a, b= map(int, input().split())
print("%d\n%d\n%d\n%d\n%d"%(a + b, a - b, a * b, a / b, a % b)) | 47.5 | 63 | 0.442105 | 26 | 95 | 1.615385 | 0.346154 | 0.285714 | 0.285714 | 0.380952 | 0.452381 | 0.452381 | 0.452381 | 0.238095 | 0 | 0 | 0 | 0 | 0.189474 | 95 | 2 | 63 | 47.5 | 0.545455 | 0 | 0 | 0 | 0 | 0 | 0.1875 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | 1 | 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 | 0 | 0 | 0 | 1 | 0 | 8 |
b87f5e56e7e2fbd05f2c95f40f41cd903a192fa3 | 18,090 | py | Python | disasm.py | uafio/BinaryNinja-CHIP8-Arch | 76103e3a8e6b7338339a5dbe169734cf93dad901 | [
"MIT"
] | 3 | 2020-08-31T12:59:09.000Z | 2021-05-23T16:15:46.000Z | disasm.py | uafio/BinaryNinja-CHIP8-Arch | 76103e3a8e6b7338339a5dbe169734cf93dad901 | [
"MIT"
] | null | null | null | disasm.py | uafio/BinaryNinja-CHIP8-Arch | 76103e3a8e6b7338339a5dbe169734cf93dad901 | [
"MIT"
] | null | null | null | from binaryninja.function import InstructionTextToken
from binaryninja.enums import InstructionTextTokenType, BranchType
from struct import unpack
class Disassembler(object):
""" CHIP-8 tokanized Disassembler """
def __init__(self):
self.opcodes = {
0x0: "_rcs",
0x1: "_jp",
0x2: "_call",
0x3: "_se_kk",
0x4: "_sne_kk",
0x5: "_se",
0x6: "_ld_kk",
0x7: "_add",
0x8: "_bitops",
0x9: "_sne",
0xa: "_ld_i",
0xb: "_jp_v0",
0xc: "_rnd",
0xd: "_draw",
0xe: "_skip",
0xf: "_ld",
}
self.V = {
0x0: 'V0',
0x1: 'V1',
0x2: 'V2',
0x3: 'V3',
0x4: 'V4',
0x5: 'V5',
0x6: 'V6',
0x7: 'V7',
0x8: 'V8',
0x9: 'V9',
0xa: 'Va',
0xb: 'Vb',
0xc: 'Vc',
0xd: 'Vd',
0xe: 'Ve',
0xf: 'Vf',
}
def disasm(self, opcode, addr):
""" Return disassembled tokanized instruction """
if not opcode:
return None
opd = self._u16(opcode)
n = opd >> 12
handler = getattr(self, self.opcodes[n])
return handler(opd)
def get_branch_info(self, opcode):
vars = self._vars(opcode)
m, kk = vars['m'], vars['kk']
if m == 0x0:
if kk == 0xEE:
return BranchType.FunctionReturn
if kk != 0xE0:
return BranchType.UnconditionalBranch
if m == 0xE:
if kk == 0x9E:
return BranchType.TrueBranch
if kk == 0xA1:
return BranchType.FalseBranch
mnem = {
0x1: BranchType.UnconditionalBranch,
0x2: BranchType.CallDestination,
0x3: BranchType.TrueBranch,
0x4: BranchType.FalseBranch,
0x5: BranchType.TrueBranch,
0xB: BranchType.IndirectBranch,
}
return mnem.get(m, None)
def _vars(self, opd):
""" Separates the different bits from opcode """
if isinstance(opd, bytes):
opd = self._u16(opd)
addr = opd & 0xfff
m = opd >> 12
n = opd & 0xf
x = (opd >> 8) & 0xf
y = (opd >> 4) & 0xf
kk = opd & 0xff
return {
'm': m,
'addr': addr,
'n': n,
'x': x,
'y': y,
'kk': kk
}
def _u16(self, opcode):
""" bytes to int """
if len(opcode) == 1:
return unpack('>B', opcode)[0]
return unpack('>H', opcode)[0]
def _rcs(self, opcode):
if opcode == 0x00EE:
return [InstructionTextToken(InstructionTextTokenType.InstructionToken, 'RET')]
if opcode == 0x00E0:
return [InstructionTextToken(InstructionTextTokenType.InstructionToken, 'CLS')]
addr = opcode & 0xfff
return [InstructionTextToken(InstructionTextTokenType.InstructionToken, 'SYS'),
InstructionTextToken(InstructionTextTokenType.TextToken, ' '),
InstructionTextToken(InstructionTextTokenType.PossibleAddressToken, hex(addr), addr)]
def _jp(self, opcode):
addr = opcode & 0xfff
return [InstructionTextToken(InstructionTextTokenType.InstructionToken, 'JP'),
InstructionTextToken(InstructionTextTokenType.TextToken, ' '),
InstructionTextToken(InstructionTextTokenType.PossibleAddressToken, hex(addr), addr)]
def _call(self, opcode):
addr = opcode & 0xfff
return [InstructionTextToken(InstructionTextTokenType.InstructionToken, 'CALL'),
InstructionTextToken(InstructionTextTokenType.TextToken, ' '),
InstructionTextToken(InstructionTextTokenType.PossibleAddressToken, hex(addr), addr)]
def _se_kk(self, opcode):
vars = self._vars(opcode)
x, kk = vars['x'], vars['kk']
return [InstructionTextToken(InstructionTextTokenType.InstructionToken, 'SE'),
InstructionTextToken(InstructionTextTokenType.TextToken, ' '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, self.V[x]),
InstructionTextToken(InstructionTextTokenType.OperandSeparatorToken, ', '),
InstructionTextToken(InstructionTextTokenType.IntegerToken, hex(kk), kk)]
def _sne_kk(self, opcode):
vars = self._vars(opcode)
x, kk = vars['x'], vars['kk']
return [InstructionTextToken(InstructionTextTokenType.InstructionToken, 'SNE'),
InstructionTextToken(InstructionTextTokenType.TextToken, ' '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, self.V[x]),
InstructionTextToken(InstructionTextTokenType.OperandSeparatorToken, ', '),
InstructionTextToken(InstructionTextTokenType.IntegerToken, hex(kk), kk)]
def _se(self, opcode):
vars = self._vars(opcode)
x, y = vars['x'], vars['y']
return [InstructionTextToken(InstructionTextTokenType.InstructionToken, 'SE'),
InstructionTextToken(InstructionTextTokenType.TextToken, ' '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, self.V[x]),
InstructionTextToken(InstructionTextTokenType.OperandSeparatorToken, ', '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, self.V[y])]
def _ld_kk(self, opcode):
vars = self._vars(opcode)
x, kk = vars['x'], vars['kk']
return [InstructionTextToken(InstructionTextTokenType.InstructionToken, 'LD'),
InstructionTextToken(InstructionTextTokenType.TextToken, ' '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, self.V[x]),
InstructionTextToken(InstructionTextTokenType.OperandSeparatorToken, ', '),
InstructionTextToken(InstructionTextTokenType.IntegerToken, hex(kk), kk)]
def _add(self, opcode):
vars = self._vars(opcode)
x, kk = vars['x'], vars['kk']
return [InstructionTextToken(InstructionTextTokenType.InstructionToken, 'ADD'),
InstructionTextToken(InstructionTextTokenType.TextToken, ' '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, self.V[x]),
InstructionTextToken(InstructionTextTokenType.OperandSeparatorToken, ', '),
InstructionTextToken(InstructionTextTokenType.IntegerToken, hex(kk), kk)]
def _bitops(self, opcode):
vars = self._vars(opcode)
x, y, n = vars['x'], vars['y'], vars['n']
if n == 0x0:
return [InstructionTextToken(InstructionTextTokenType.InstructionToken, 'LD'),
InstructionTextToken(InstructionTextTokenType.TextToken, ' '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, self.V[x]),
InstructionTextToken(InstructionTextTokenType.OperandSeparatorToken, ', '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, self.V[y])]
elif n == 0x1:
return [InstructionTextToken(InstructionTextTokenType.InstructionToken, 'OR'),
InstructionTextToken(InstructionTextTokenType.TextToken, ' '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, self.V[x]),
InstructionTextToken(InstructionTextTokenType.OperandSeparatorToken, ', '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, self.V[y])]
elif n == 0x2:
return [InstructionTextToken(InstructionTextTokenType.InstructionToken, 'AND'),
InstructionTextToken(InstructionTextTokenType.TextToken, ' '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, self.V[x]),
InstructionTextToken(InstructionTextTokenType.OperandSeparatorToken, ', '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, self.V[y])]
elif n == 0x3:
return [InstructionTextToken(InstructionTextTokenType.InstructionToken, 'XOR'),
InstructionTextToken(InstructionTextTokenType.TextToken, ' '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, self.V[x]),
InstructionTextToken(InstructionTextTokenType.OperandSeparatorToken, ', '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, self.V[y])]
elif n == 0x4:
return [InstructionTextToken(InstructionTextTokenType.InstructionToken, 'ADD'),
InstructionTextToken(InstructionTextTokenType.TextToken, ' '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, self.V[x]),
InstructionTextToken(InstructionTextTokenType.OperandSeparatorToken, ', '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, self.V[y])]
elif n == 0x5:
return [InstructionTextToken(InstructionTextTokenType.InstructionToken, 'SUB'),
InstructionTextToken(InstructionTextTokenType.TextToken, ' '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, self.V[x]),
InstructionTextToken(InstructionTextTokenType.OperandSeparatorToken, ', '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, self.V[y])]
elif n == 0x6:
return [InstructionTextToken(InstructionTextTokenType.InstructionToken, 'SHR'),
InstructionTextToken(InstructionTextTokenType.TextToken, ' '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, self.V[x]),
InstructionTextToken(InstructionTextTokenType.OperandSeparatorToken, ', '),
InstructionTextToken(InstructionTextTokenType.IntegerToken, hex(1), 1)]
elif n == 0x7:
return [InstructionTextToken(InstructionTextTokenType.InstructionToken, 'SUBN'),
InstructionTextToken(InstructionTextTokenType.TextToken, ' '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, self.V[x]),
InstructionTextToken(InstructionTextTokenType.OperandSeparatorToken, ', '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, self.V[y])]
elif n == 0xE:
return [InstructionTextToken(InstructionTextTokenType.InstructionToken, 'SHL'),
InstructionTextToken(InstructionTextTokenType.TextToken, ' '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, self.V[x]),
InstructionTextToken(InstructionTextTokenType.OperandSeparatorToken, ', '),
InstructionTextToken(InstructionTextTokenType.IntegerToken, hex(1), 1)]
def _sne(self, opcode):
vars = self._vars(opcode)
x, y = vars['x'], vars['y']
return [InstructionTextToken(InstructionTextTokenType.InstructionToken, 'SNE'),
InstructionTextToken(InstructionTextTokenType.TextToken, ' '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, self.V[x]),
InstructionTextToken(InstructionTextTokenType.OperandSeparatorToken, ', '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, self.V[y])]
def _ld_i(self, opcode):
addr = opcode & 0xfff
return [InstructionTextToken(InstructionTextTokenType.InstructionToken, 'LD'),
InstructionTextToken(InstructionTextTokenType.TextToken, ' '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, 'I'),
InstructionTextToken(InstructionTextTokenType.OperandSeparatorToken, ', '),
InstructionTextToken(InstructionTextTokenType.PossibleAddressToken, hex(addr), addr)]
def _jp_v0(self, opcode):
addr = opcode & 0xfff
return [InstructionTextToken(InstructionTextTokenType.InstructionToken, 'JP'),
InstructionTextToken(InstructionTextTokenType.TextToken, ' '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, 'V0'),
InstructionTextToken(InstructionTextTokenType.OperandSeparatorToken, ', '),
InstructionTextToken(InstructionTextTokenType.PossibleAddressToken, hex(addr), addr)]
def _rnd(self, opcode):
vars = self._vars(opcode)
x, kk = vars['x'], vars['kk']
return [InstructionTextToken(InstructionTextTokenType.InstructionToken, 'RND'),
InstructionTextToken(InstructionTextTokenType.TextToken, ' '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, self.V[x]),
InstructionTextToken(InstructionTextTokenType.OperandSeparatorToken, ', '),
InstructionTextToken(InstructionTextTokenType.IntegerToken, hex(kk), kk)]
def _draw(self, opcode):
vars = self._vars(opcode)
x, y, n = vars['x'], vars['y'], vars['n']
return [InstructionTextToken(InstructionTextTokenType.InstructionToken, 'DRW'),
InstructionTextToken(InstructionTextTokenType.TextToken, ' '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, self.V[x]),
InstructionTextToken(InstructionTextTokenType.OperandSeparatorToken, ', '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, self.V[y]),
InstructionTextToken(InstructionTextTokenType.OperandSeparatorToken, ', '),
InstructionTextToken(InstructionTextTokenType.IntegerToken, hex(n), n)]
def _skip(self, opcode):
vars = self._vars(opcode)
x, kk = vars['x'], vars['kk']
if kk == 0x9E:
return [InstructionTextToken(InstructionTextTokenType.InstructionToken, 'SKP'),
InstructionTextToken(InstructionTextTokenType.TextToken, ' '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, self.V[x])]
if kk == 0xA1:
return [InstructionTextToken(InstructionTextTokenType.InstructionToken, 'SKNP'),
InstructionTextToken(InstructionTextTokenType.TextToken, ' '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, self.V[x])]
def _ld(self, opcode):
vars = self._vars(opcode)
x, kk = vars['x'], vars['kk']
if kk == 0x07:
return [InstructionTextToken(InstructionTextTokenType.InstructionToken, 'LD'),
InstructionTextToken(InstructionTextTokenType.TextToken, ' '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, self.V[x]),
InstructionTextToken(InstructionTextTokenType.OperandSeparatorToken, ', '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, 'DT')]
elif kk == 0x0A:
return [InstructionTextToken(InstructionTextTokenType.InstructionToken, 'LD'),
InstructionTextToken(InstructionTextTokenType.TextToken, ' '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, self.V[x]),
InstructionTextToken(InstructionTextTokenType.OperandSeparatorToken, ', '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, 'K')]
elif kk == 0x15:
return [InstructionTextToken(InstructionTextTokenType.InstructionToken, 'LD'),
InstructionTextToken(InstructionTextTokenType.TextToken, ' '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, 'DT'),
InstructionTextToken(InstructionTextTokenType.OperandSeparatorToken, ', '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, self.V[x])]
elif kk == 0x18:
return [InstructionTextToken(InstructionTextTokenType.InstructionToken, 'LD'),
InstructionTextToken(InstructionTextTokenType.TextToken, ' '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, 'ST'),
InstructionTextToken(InstructionTextTokenType.OperandSeparatorToken, ', '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, self.V[x])]
elif kk == 0x1e:
return [InstructionTextToken(InstructionTextTokenType.InstructionToken, 'ADD'),
InstructionTextToken(InstructionTextTokenType.TextToken, ' '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, 'I'),
InstructionTextToken(InstructionTextTokenType.OperandSeparatorToken, ', '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, self.V[x])]
elif kk == 0x29:
return [InstructionTextToken(InstructionTextTokenType.InstructionToken, 'LD'),
InstructionTextToken(InstructionTextTokenType.TextToken, ' '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, 'F'),
InstructionTextToken(InstructionTextTokenType.OperandSeparatorToken, ', '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, self.V[x])]
elif kk == 0x33:
return [InstructionTextToken(InstructionTextTokenType.InstructionToken, 'LD'),
InstructionTextToken(InstructionTextTokenType.TextToken, ' '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, 'B'),
InstructionTextToken(InstructionTextTokenType.OperandSeparatorToken, ', '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, self.V[x])]
elif kk == 0x55:
return [InstructionTextToken(InstructionTextTokenType.InstructionToken, 'LD'),
InstructionTextToken(InstructionTextTokenType.TextToken, ' ['),
InstructionTextToken(InstructionTextTokenType.RegisterToken, 'I'),
InstructionTextToken(InstructionTextTokenType.OperandSeparatorToken, '], '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, self.V[x])]
elif kk == 0x65:
return [InstructionTextToken(InstructionTextTokenType.InstructionToken, 'LD'),
InstructionTextToken(InstructionTextTokenType.TextToken, ' '),
InstructionTextToken(InstructionTextTokenType.RegisterToken, self.V[x]),
InstructionTextToken(InstructionTextTokenType.OperandSeparatorToken, ', ['),
InstructionTextToken(InstructionTextTokenType.RegisterToken, 'I'),
InstructionTextToken(InstructionTextTokenType.TextToken, ']')]
| 52.132565 | 93 | 0.670813 | 1,250 | 18,090 | 9.6568 | 0.1208 | 0.583216 | 0.231381 | 0.19203 | 0.818076 | 0.818076 | 0.810952 | 0.793969 | 0.793638 | 0.764808 | 0 | 0.012044 | 0.224323 | 18,090 | 346 | 94 | 52.283237 | 0.848204 | 0.007076 | 0 | 0.518987 | 0 | 0 | 0.020017 | 0 | 0 | 0 | 0.014608 | 0 | 0 | 1 | 0.066456 | false | 0 | 0.009494 | 0 | 0.221519 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
b899913b13a27912fac2c01b02b1d730ff24d517 | 7,126 | py | Python | tests/features/test_integrity.py | ratschlab/tools-project-archives | a42ef1d3d60b24ff39ce5aa73a8fb332b4f25056 | [
"MIT"
] | 1 | 2021-12-02T15:13:47.000Z | 2021-12-02T15:13:47.000Z | tests/features/test_integrity.py | ratschlab/tools-project-archives | a42ef1d3d60b24ff39ce5aa73a8fb332b4f25056 | [
"MIT"
] | null | null | null | tests/features/test_integrity.py | ratschlab/tools-project-archives | a42ef1d3d60b24ff39ce5aa73a8fb332b4f25056 | [
"MIT"
] | null | null | null | from archiver.integrity import check_integrity, verify_relative_symbolic_links, get_archives_with_hashes_from_path
from tests.helpers import get_directory_with_name
DEEP = True
def test_integrity_check_on_archive(caplog):
archive_dir = get_directory_with_name("normal-archive")
archive_file = archive_dir.joinpath("test-folder.tar.lz")
assert_successful_shallow_check(archive_file, caplog)
def test_integrity_check_on_encrypted_archive(caplog, setup_gpg):
archive_dir = get_directory_with_name("encrypted-archive")
archive_file = archive_dir.joinpath("test-folder.tar.lz.gpg")
assert_successful_shallow_check(archive_file, caplog)
def test_integrity_check_on_directory(caplog):
archive_dir = get_directory_with_name("normal-archive")
assert_successful_shallow_check(archive_dir, caplog)
def test_integrity_check_on_encrypted_directory(caplog, setup_gpg):
archive_dir = get_directory_with_name("encrypted-archive")
assert_successful_shallow_check(archive_dir, caplog)
def test_integrity_check_on_split_archive(caplog):
archive_dir = get_directory_with_name("split-archive")
assert_successful_shallow_check(archive_dir, caplog)
def test_integrity_check_on_split_encrypted_archive(caplog):
archive_dir = get_directory_with_name("split-encrypted-archive")
assert_successful_shallow_check(archive_dir, caplog)
def test_integrity_check_on_split_encrypted_file(caplog, setup_gpg):
archive_dir = get_directory_with_name("split-encrypted-archive")
archive_file = archive_dir.joinpath("large-folder.part1.tar.lz.gpg")
assert_successful_shallow_check(archive_file, caplog)
def test_integrity_check_corrupted(caplog):
archive_dir = get_directory_with_name("normal-archive-corrupted")
archive_file = archive_dir.joinpath("test-folder.tar.lz")
expected_string = f"Basic integrity check unsuccessful. Archive has been changed since creation."
assert_integrity_check_with_output(archive_file, expected_string, False, caplog)
def test_integrity_check_corrupted_encrypted(caplog, setup_gpg):
archive_dir = get_directory_with_name("encrypted-archive-corrupted")
expected_string = f"Basic integrity check unsuccessful. Archive has been changed since creation."
assert_integrity_check_with_output(archive_dir, expected_string, False, caplog)
def test_integrity_check_corrupted_on_split_archive(caplog):
archive_dir = get_directory_with_name("split-archive-corrupted")
expected_string = f"Basic integrity check unsuccessful. Archive has been changed since creation."
assert_integrity_check_with_output(archive_dir, expected_string, False, caplog)
def test_integrity_check_deep(caplog):
archive_dir = get_directory_with_name("normal-archive")
archive_file = archive_dir.joinpath("test-folder.tar.lz")
assert_successful_deep_check(archive_file, caplog)
def test_integrity_check_deep_encrypted(caplog, setup_gpg):
archive_dir = get_directory_with_name("encrypted-archive")
assert_successful_deep_check(archive_dir, caplog)
def test_integrity_check_deep_encrypted_file(caplog, setup_gpg):
archive_dir = get_directory_with_name("encrypted-archive")
archive_file = archive_dir.joinpath("test-folder.tar.lz.gpg")
assert_successful_deep_check(archive_file, caplog)
def test_integrity_check_deep_on_split_archive(caplog):
archive_dir = get_directory_with_name("split-archive")
archive_file = archive_dir.joinpath("large-folder.part1.tar.lz")
assert_successful_deep_check(archive_file, caplog)
def test_integrity_check_deep_on_split_encrypted_archive(caplog, setup_gpg):
archive_dir = get_directory_with_name("split-encrypted-archive")
archive_file = archive_dir.joinpath("large-folder.part1.tar.lz.gpg")
assert_successful_deep_check(archive_file, caplog)
def test_integrity_check_deep_corrupted(caplog):
archive_dir = get_directory_with_name("normal-archive-corrupted-deep")
expected_messages = [
"Missing file test-folder/folder-in-archive/big file3.txt in archive!",
'File test-folder/folder-in-archive/file2.txt in archive does not appear in list of md5sums!',
"Hash of test-folder/file1.txt has changed: Expected 49dbcfb5e7ae8ca55cab5b0e4674d9fd but got 49dbcfb5e7ae8ca55cab6b0e4674d9fd",
"Deep integrity check unsuccessful. Archive has been changed since creation."]
check_integrity_and_validate_output_contains(archive_dir, caplog, expected_messages, False, DEEP)
def test_integrity_check_deep_corrupted_encrypted(caplog, setup_gpg):
archive_dir = get_directory_with_name("encrypted-archive-corrupted-deep")
expected_messages = ["Hash of test-folder/folder-in-archive/file2.txt has changed: Expected 5762a5694bf3cb3dp59bf864ed71a4a8 but got 5762a5694bf3cb3df59bf864ed71a4a8",
"Deep integrity check unsuccessful. Archive has been changed since creation."]
check_integrity_and_validate_output_contains(archive_dir, caplog, expected_messages, False, DEEP)
def test_integrity_check_symlink(caplog):
archive_dir = get_directory_with_name("symlink-archive")
archive_file = archive_dir.joinpath("symlink-folder.tar.lz")
assert_successful_shallow_check(archive_file, caplog)
def test_integrity_check_deep_symlink(caplog):
archive_dir = get_directory_with_name("symlink-archive")
archive_file = archive_dir.joinpath("symlink-folder.tar.lz")
assert_successful_deep_check(archive_file, caplog)
assert "Symlink symlink-folder/invalid_link_abs found pointing to /not/existing . The archive contains the link itself, but possibly not the file it points to." in caplog.messages
assert "Symlink symlink-folder/invalid_link pointing to not_existing is broken in archive" in caplog.messages
def test_verify_relative_symbolic_links():
archive_dir = get_directory_with_name("symlink-archive")
archives_with_hashes = get_archives_with_hashes_from_path(archive_dir)
missing = verify_relative_symbolic_links(archives_with_hashes)
link_key = 'symlink-folder/invalid_link'
assert link_key in missing and missing[link_key] == 'not_existing'
assert len(missing) == 1
# MARK: Helpers
def assert_successful_deep_check(archive_path, caplog):
expected_output = "Deep integrity check successful."
assert_integrity_check_with_output(archive_path, expected_output, True, caplog, DEEP)
def assert_successful_shallow_check(archive_path, caplog):
expected_output = "Basic integrity check successful."
assert_integrity_check_with_output(archive_path, expected_output, True, caplog)
def assert_integrity_check_with_output(archive_path, expected_output, expected_return, caplog, deep=False):
assert check_integrity(archive_path, deep, threads=2) == expected_return
assert caplog.messages[-1] == expected_output
def check_integrity_and_validate_output_contains(archive_path, caplog, expected_messages, expected_return, deep=False):
assert check_integrity(archive_path, deep, threads=2) == expected_return
for message in expected_messages:
assert message in caplog.messages
| 39.153846 | 183 | 0.806483 | 945 | 7,126 | 5.686772 | 0.107937 | 0.074432 | 0.062523 | 0.078154 | 0.819315 | 0.798846 | 0.753256 | 0.729996 | 0.712691 | 0.666543 | 0 | 0.012411 | 0.118019 | 7,126 | 181 | 184 | 39.370166 | 0.842641 | 0.001824 | 0 | 0.470588 | 0 | 0.029412 | 0.245957 | 0.10097 | 0 | 0 | 0 | 0 | 0.294118 | 1 | 0.235294 | false | 0 | 0.019608 | 0 | 0.254902 | 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 |
b89fb448473ecb75ca19f8e3922cacb3b79a6ab6 | 215 | py | Python | datadog_checks/base.py | iksaif/datadog-integrations | 7ac27867d9785a33a3069eabd20816e86842b411 | [
"Apache-2.0"
] | null | null | null | datadog_checks/base.py | iksaif/datadog-integrations | 7ac27867d9785a33a3069eabd20816e86842b411 | [
"Apache-2.0"
] | null | null | null | datadog_checks/base.py | iksaif/datadog-integrations | 7ac27867d9785a33a3069eabd20816e86842b411 | [
"Apache-2.0"
] | null | null | null |
class AgentCheck():
def gauge(self, name, value, tags=None):
print("gauge", name, value, tags)
def monotonic_count(self, name, value, tags=None):
print("monotonic_count", name, value, tags) | 30.714286 | 54 | 0.646512 | 28 | 215 | 4.892857 | 0.428571 | 0.262774 | 0.379562 | 0.248175 | 0.379562 | 0.379562 | 0 | 0 | 0 | 0 | 0 | 0 | 0.209302 | 215 | 7 | 55 | 30.714286 | 0.805882 | 0 | 0 | 0 | 0 | 0 | 0.093023 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.4 | false | 0 | 0 | 0 | 0.6 | 0.4 | 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 | 0 | 1 | 0 | 0 | 7 |
b2270e80a97bb2fda529ece7a9d19c4feb95b942 | 88 | py | Python | utility/math.py | Friedenspanzer/spacegame | 639ef6903153d0be4e1c0ef75b84bc41b1fa9cd9 | [
"MIT"
] | null | null | null | utility/math.py | Friedenspanzer/spacegame | 639ef6903153d0be4e1c0ef75b84bc41b1fa9cd9 | [
"MIT"
] | null | null | null | utility/math.py | Friedenspanzer/spacegame | 639ef6903153d0be4e1c0ef75b84bc41b1fa9cd9 | [
"MIT"
] | null | null | null | def clamp(value, min_value, max_value):
return max(min(value, max_value), min_value) | 44 | 48 | 0.75 | 15 | 88 | 4.133333 | 0.4 | 0.387097 | 0.419355 | 0.516129 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.125 | 88 | 2 | 48 | 44 | 0.805195 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | false | 0 | 0 | 0.5 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 8 |
b23bf954d11b3cd0982da2b23a66f750a7d555b5 | 127 | py | Python | create_db.py | ZDaria/grinding_converter | d4ebbcd1d5445dfd91e9142b6e5ac8e54ffbfcea | [
"Apache-2.0"
] | null | null | null | create_db.py | ZDaria/grinding_converter | d4ebbcd1d5445dfd91e9142b6e5ac8e54ffbfcea | [
"Apache-2.0"
] | null | null | null | create_db.py | ZDaria/grinding_converter | d4ebbcd1d5445dfd91e9142b6e5ac8e54ffbfcea | [
"Apache-2.0"
] | null | null | null | from webapp.catalogs import create_app
from grinding_converter.webapp import create_db
create_db.create_all(app=create_app()) | 25.4 | 47 | 0.858268 | 20 | 127 | 5.15 | 0.5 | 0.23301 | 0.271845 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.07874 | 127 | 5 | 48 | 25.4 | 0.880342 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.666667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 1 | 1 | 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 |
b23c8abbc7633b6f9f7321f4c46fd089316462f5 | 2,073 | py | Python | DataProcess/CombineCol.py | ztlevi/TRI_Visualization | c9abfc9c41da1dcef71e3a6673bebeb299317014 | [
"FSFAP"
] | 5 | 2017-07-12T18:10:38.000Z | 2017-12-29T02:40:24.000Z | DataProcess/CombineCol.py | ztlevi/TRI_demo | c9abfc9c41da1dcef71e3a6673bebeb299317014 | [
"FSFAP"
] | null | null | null | DataProcess/CombineCol.py | ztlevi/TRI_demo | c9abfc9c41da1dcef71e3a6673bebeb299317014 | [
"FSFAP"
] | null | null | null | import csv
import pandas as pd
df = pd.read_csv('output01.csv')
print df.head()
print '----------------'
print df[['time [s]', 'long accel [g]', 'lat accel [g]','vector accel [g]', 'vert accel [g]', 'speed [mph]', 'GPS long [degs]', 'GPS lat [degs]']]
print '------------------------------------------------------------------'
print
dd = pd.read_csv('output02.csv')
print dd.head()
print '----------------'
print dd[['Time', 'HR', 'BR','Posture', 'Activity', 'PeakAccel', 'HRV']]
print '------------------------------------------------------------------'
print
data = pd.merge(df, dd, how='outer')
data = data[['time [s]', 'long accel [g]', 'lat accel [g]','vector accel [g]', 'vert accel [g]', 'speed [mph]', 'GPS long [degs]', 'GPS lat [degs]', 'Time', 'HR', 'BR','Posture', 'Activity', 'PeakAccel', 'HRV']]
print data
print '------------------------------------------------------------------'
print
data.to_csv(r'trip6.csv', encoding='gbk')
df = pd.read_csv('trip6.csv')
print df.head()
print '----------------'
print df[['time [s]', 'long accel [g]', 'lat accel [g]','vector accel [g]', 'vert accel [g]', 'speed [mph]', 'GPS long [degs]', 'GPS lat [degs]', 'Time', 'HR', 'BR','Posture', 'Activity', 'PeakAccel', 'HRV']]
print '------------------------------------------------------------------'
print
dd = pd.read_csv('output03.csv')
print dd.head()
print '----------------'
print dd[['ecg', 'gsr', 'scl','scr', 'driver_workload', 'expert_workload', 'traffic_load','event','GPS heading [degs]']]
print '------------------------------------------------------------------'
print
data = pd.merge(df, dd)
data = data[['time [s]', 'long accel [g]', 'lat accel [g]','vector accel [g]', 'vert accel [g]', 'speed [mph]', 'GPS long [degs]', 'GPS lat [degs]', 'Time', 'HR', 'BR','Posture', 'Activity', 'PeakAccel', 'HRV','ecg', 'gsr', 'scl','scr', 'driver_workload', 'expert_workload', 'traffic_load','event','GPS heading [degs']]
print data
print '------------------------------------------------------------------'
print
data.to_csv(r'trip7.csv', encoding='gbk') | 39.113208 | 319 | 0.474674 | 246 | 2,073 | 3.95122 | 0.211382 | 0.098765 | 0.037037 | 0.057613 | 0.874486 | 0.874486 | 0.841564 | 0.752058 | 0.702675 | 0.651235 | 0 | 0.004841 | 0.103232 | 2,073 | 53 | 320 | 39.113208 | 0.51802 | 0 | 0 | 0.578947 | 0 | 0 | 0.601254 | 0.190935 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.052632 | null | null | 0.684211 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 9 |
a2947d47570f49343ab5e12950e0f2c0f4980a51 | 29,527 | py | Python | tests/test_data/test_utils_data.py | johnlyzhou/behavenet | aa7187322e491299cd7fefbecb8f8f215b33edba | [
"MIT"
] | 23 | 2021-03-11T10:28:36.000Z | 2022-02-24T04:25:06.000Z | tests/test_data/test_utils_data.py | johnlyzhou/behavenet | aa7187322e491299cd7fefbecb8f8f215b33edba | [
"MIT"
] | 12 | 2020-01-22T20:36:15.000Z | 2021-01-28T18:45:39.000Z | tests/test_data/test_utils_data.py | johnlyzhou/behavenet | aa7187322e491299cd7fefbecb8f8f215b33edba | [
"MIT"
] | 8 | 2020-01-22T18:42:03.000Z | 2021-02-05T05:55:41.000Z | import h5py
import os
import numpy as np
import pytest
from behavenet.data import utils
def test_get_data_generator_inputs():
hparams = {
'data_dir': 'ddir', 'results_dir': 'rdir',
'lab': 'lab0', 'expt': 'expt0', 'animal': 'animal0', 'session': 'session0'}
session_dir = os.path.join(
hparams['data_dir'], hparams['lab'], hparams['expt'], hparams['animal'],
hparams['session'])
hdf5_path = os.path.join(session_dir, 'data.hdf5')
sess_ids = [
{'lab': hparams['lab'], 'expt': hparams['expt'], 'animal': hparams['animal'],
'session': hparams['session']}]
# -----------------
# ae
# -----------------
hparams['model_class'] = 'ae'
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert signals[0] == ['images']
assert transforms[0] == [None]
assert paths[0] == [hdf5_path]
hparams['model_class'] = 'ae'
hparams['use_output_mask'] = True
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert signals[0] == ['images', 'masks']
assert transforms[0] == [None, None]
assert paths[0] == [hdf5_path, hdf5_path]
hparams['use_output_mask'] = False
# -----------------
# vae
# -----------------
hparams['model_class'] = 'vae'
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert signals[0] == ['images']
assert transforms[0] == [None]
assert paths[0] == [hdf5_path]
hparams['model_class'] = 'vae'
hparams['use_output_mask'] = True
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert signals[0] == ['images', 'masks']
assert transforms[0] == [None, None]
assert paths[0] == [hdf5_path, hdf5_path]
hparams['use_output_mask'] = False
# -----------------
# beta-tcvae
# -----------------
hparams['model_class'] = 'beta-tcvae'
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert signals[0] == ['images']
assert transforms[0] == [None]
assert paths[0] == [hdf5_path]
hparams['model_class'] = 'beta-tcvae'
hparams['use_output_mask'] = True
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert signals[0] == ['images', 'masks']
assert transforms[0] == [None, None]
assert paths[0] == [hdf5_path, hdf5_path]
hparams['use_output_mask'] = False
# -----------------
# ps-vae
# -----------------
hparams['model_class'] = 'ps-vae'
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert signals[0] == ['images', 'labels']
assert transforms[0] == [None, None]
assert paths[0] == [hdf5_path, hdf5_path]
hparams['model_class'] = 'ps-vae'
hparams['use_output_mask'] = True
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert signals[0] == ['images', 'labels', 'masks']
assert transforms[0] == [None, None, None]
assert paths[0] == [hdf5_path, hdf5_path, hdf5_path]
hparams['use_output_mask'] = False
hparams['model_class'] = 'ps-vae'
hparams['use_label_mask'] = True
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert signals[0] == ['images', 'labels', 'labels_masks']
assert transforms[0] == [None, None, None]
assert paths[0] == [hdf5_path, hdf5_path, hdf5_path]
hparams['use_label_mask'] = False
# -----------------
# cond-vae
# -----------------
hparams['model_class'] = 'cond-vae'
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert signals[0] == ['images', 'labels']
assert transforms[0] == [None, None]
assert paths[0] == [hdf5_path, hdf5_path]
hparams['model_class'] = 'cond-vae'
hparams['use_output_mask'] = True
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert signals[0] == ['images', 'labels', 'masks']
assert transforms[0] == [None, None, None]
assert paths[0] == [hdf5_path, hdf5_path, hdf5_path]
hparams['use_output_mask'] = False
# -----------------
# cond-ae
# -----------------
hparams['model_class'] = 'cond-ae'
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert signals[0] == ['images', 'labels']
assert transforms[0] == [None, None]
assert paths[0] == [hdf5_path, hdf5_path]
hparams['model_class'] = 'cond-ae'
hparams['use_output_mask'] = True
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert signals[0] == ['images', 'labels', 'masks']
assert transforms[0] == [None, None, None]
assert paths[0] == [hdf5_path, hdf5_path, hdf5_path]
hparams['use_output_mask'] = False
hparams['model_class'] = 'cond-ae'
hparams['conditional_encoder'] = True
hparams['y_pixels'] = 2
hparams['x_pixels'] = 2
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert signals[0] == ['images', 'labels', 'labels_sc']
assert transforms[0][0] is None
assert transforms[0][1] is None
assert transforms[0][2].__repr__().find('MakeOneHot2D') > -1
assert paths[0] == [hdf5_path, hdf5_path, hdf5_path]
hparams['conditional_encoder'] = False
# -----------------
# cond-ae-msp
# -----------------
hparams['model_class'] = 'cond-ae-msp'
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert signals[0] == ['images', 'labels']
assert transforms[0] == [None, None]
assert paths[0] == [hdf5_path, hdf5_path]
hparams['model_class'] = 'cond-ae-msp'
hparams['use_label_mask'] = True
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert signals[0] == ['images', 'labels', 'labels_masks']
assert transforms[0] == [None, None, None]
assert paths[0] == [hdf5_path, hdf5_path, hdf5_path]
hparams['use_label_mask'] = False
# -----------------
# ae_latents
# -----------------
hparams['model_class'] = 'ae_latents'
hparams['session_dir'] = session_dir
hparams['ae_model_class'] = 'ae'
hparams['ae_model_type'] = 'conv'
hparams['n_ae_latents'] = 8
hparams['ae_experiment_name'] = 'tt_expt_ae'
hparams['ae_version'] = 0
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert signals[0] == ['ae_latents']
# transforms and paths tested by test_get_transforms_paths
# -----------------
# neural-ae
# -----------------
hparams['model_class'] = 'neural-ae'
hparams['model_type'] = 'linear'
hparams['session_dir'] = session_dir
hparams['neural_type'] = 'spikes'
hparams['neural_thresh'] = 0
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert signals[0] == ['neural', 'ae_latents']
assert hparams_['input_signal'] == 'neural'
assert hparams_['output_signal'] == 'ae_latents'
assert hparams_['output_size'] == hparams['n_ae_latents']
assert hparams_['noise_dist'] == 'gaussian'
hparams['model_type'] = 'linear-mv'
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert hparams_['noise_dist'] == 'gaussian-full'
# -----------------
# neural-ae-me
# -----------------
hparams['model_class'] = 'neural-ae-me'
hparams['model_type'] = 'linear'
hparams['session_dir'] = session_dir
hparams['neural_type'] = 'spikes'
hparams['neural_thresh'] = 0
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert signals[0] == ['neural', 'ae_latents']
assert transforms[0][0] is None
assert transforms[0][1].__repr__().find('MotionEnergy') > -1
assert hparams_['input_signal'] == 'neural'
assert hparams_['output_signal'] == 'ae_latents'
assert hparams_['output_size'] == hparams['n_ae_latents']
assert hparams_['noise_dist'] == 'gaussian'
hparams['model_type'] = 'linear-mv'
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert hparams_['noise_dist'] == 'gaussian-full'
# -----------------
# ae-neural
# -----------------
hparams['model_class'] = 'ae-neural'
hparams['model_type'] = 'linear'
hparams['session_dir'] = session_dir
hparams['neural_type'] = 'spikes'
hparams['neural_thresh'] = 0
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert signals[0] == ['neural', 'ae_latents']
assert hparams_['input_signal'] == 'ae_latents'
assert hparams_['output_signal'] == 'neural'
assert hparams_['output_size'] is None
assert hparams_['noise_dist'] == 'poisson'
hparams['model_type'] = 'linear'
hparams['neural_type'] = 'ca'
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert hparams_['noise_dist'] == 'gaussian'
hparams['model_type'] = 'linear-mv'
hparams['neural_type'] = 'ca'
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert hparams_['noise_dist'] == 'gaussian-full'
# -----------------
# neural-labels
# -----------------
hparams['model_class'] = 'neural-labels'
hparams['model_type'] = 'linear'
hparams['n_labels'] = 4
hparams['session_dir'] = session_dir
hparams['neural_type'] = 'spikes'
hparams['neural_thresh'] = 0
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert signals[0] == ['neural', 'labels']
assert hparams_['input_signal'] == 'neural'
assert hparams_['output_signal'] == 'labels'
assert hparams_['output_size'] == hparams['n_labels']
assert hparams_['noise_dist'] == 'gaussian'
hparams['model_type'] = 'linear-mv'
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert hparams_['noise_dist'] == 'gaussian-full'
# -----------------
# labels-neural
# -----------------
hparams['model_class'] = 'labels-neural'
hparams['model_type'] = 'linear'
hparams['n_labels'] = 4
hparams['session_dir'] = session_dir
hparams['neural_type'] = 'spikes'
hparams['neural_thresh'] = 0
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert signals[0] == ['neural', 'labels']
assert hparams_['input_signal'] == 'labels'
assert hparams_['output_signal'] == 'neural'
assert hparams_['output_size'] is None
assert hparams_['noise_dist'] == 'poisson'
hparams['model_type'] = 'linear'
hparams['neural_type'] = 'ca'
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert hparams_['noise_dist'] == 'gaussian'
hparams['model_type'] = 'linear-mv'
hparams['neural_type'] = 'ca'
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert hparams_['noise_dist'] == 'gaussian-full'
# -----------------
# arhmm
# -----------------
hparams['model_class'] = 'arhmm'
hparams['session_dir'] = session_dir
hparams['ae_model_type'] = 'conv'
hparams['n_ae_latents'] = 8
hparams['ae_experiment_name'] = 'tt_expt_ae'
hparams['ae_version'] = 0
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert signals[0] == ['ae_latents']
# transforms and paths tested by test_get_transforms_paths
hparams['load_videos'] = True
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert signals[0] == ['ae_latents', 'images']
hparams['load_videos'] = False
hparams['use_output_mask'] = True
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert signals[0] == ['ae_latents', 'masks']
hparams['use_output_mask'] = False
# -----------------
# arhmm-labels
# -----------------
hparams['model_class'] = 'arhmm-labels'
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert signals[0] == ['labels']
assert transforms[0] == [None]
assert paths[0] == [hdf5_path]
hparams['load_videos'] = True
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert signals[0] == ['labels', 'images']
assert transforms[0] == [None, None]
assert paths[0] == [hdf5_path, hdf5_path]
hparams['load_videos'] = False
hparams['use_output_mask'] = True
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert signals[0] == ['labels', 'masks']
assert transforms[0] == [None, None]
assert paths[0] == [hdf5_path, hdf5_path]
hparams['use_output_mask'] = False
# -----------------
# neural-arhmm
# -----------------
hparams['model_class'] = 'neural-arhmm'
hparams['model_type'] = 'linear'
hparams['session_dir'] = session_dir
hparams['neural_type'] = 'spikes'
hparams['neural_thresh'] = 0
hparams['n_arhmm_states'] = 2
hparams['transitions'] = 'stationary'
hparams['noise_type'] = 'gaussian'
hparams['arhmm_experiment_name'] = 'tt_expt_arhmm'
hparams['arhmm_version'] = 1
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert signals[0] == ['neural', 'arhmm_states']
assert hparams_['input_signal'] == 'neural'
assert hparams_['output_signal'] == 'arhmm_states'
assert hparams_['output_size'] == hparams['n_arhmm_states']
assert hparams_['noise_dist'] == 'categorical'
# -----------------
# arhmm-neural
# -----------------
hparams['model_class'] = 'arhmm-neural'
hparams['model_type'] = 'linear'
hparams['session_dir'] = session_dir
hparams['neural_type'] = 'spikes'
hparams['neural_thresh'] = 0
hparams['n_arhmm_states'] = 2
hparams['transitions'] = 'stationary'
hparams['noise_type'] = 'gaussian'
hparams['arhmm_experiment_name'] = 'tt_expt_arhmm'
hparams['arhmm_version'] = 1
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert signals[0] == ['neural', 'arhmm_states']
assert hparams_['input_signal'] == 'arhmm_states'
assert hparams_['output_signal'] == 'neural'
assert hparams_['output_size'] is None
assert hparams_['noise_dist'] == 'poisson'
hparams['model_type'] = 'linear'
hparams['neural_type'] = 'ca'
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert hparams_['noise_dist'] == 'gaussian'
hparams['model_type'] = 'linear-mv'
hparams['neural_type'] = 'ca'
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert hparams_['noise_dist'] == 'gaussian-full'
# -----------------
# bayesian-decoding
# -----------------
hparams['model_class'] = 'bayesian-decoding'
hparams['neural_ae_experiment_name'] = 'tt_expt_ae_decoder'
hparams['neural_ae_model_type'] = 'linear'
hparams['neural_ae_version'] = 0
hparams['neural_arhmm_experiment_name'] = 'tt_expt_arhmm_decoder'
hparams['neural_arhmm_model_type'] = 'linear'
hparams['neural_arhmm_version'] = 0
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert signals[0] == ['ae_latents', 'ae_predictions', 'arhmm_predictions', 'arhmm_states']
hparams['load_videos'] = True
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert signals[0] == [
'ae_latents', 'ae_predictions', 'arhmm_predictions', 'arhmm_states', 'images']
hparams['load_videos'] = False
hparams['use_output_mask'] = True
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert signals[0] == [
'ae_latents', 'ae_predictions', 'arhmm_predictions', 'arhmm_states', 'masks']
hparams['use_output_mask'] = False
# -----------------
# labels-images
# -----------------
hparams['model_class'] = 'labels-images'
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert signals[0] == ['images', 'labels']
assert transforms[0] == [None, None]
assert paths[0] == [hdf5_path, hdf5_path]
assert hparams_['input_signal'] == 'labels'
assert hparams_['output_signal'] == 'images'
hparams['use_output_mask'] = True
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert signals[0] == ['images', 'labels', 'masks']
hparams['use_output_mask'] = False
# -----------------
# labels
# -----------------
hparams['model_class'] = 'labels'
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert signals[0] == ['labels']
assert transforms[0] == [None]
assert paths[0] == [hdf5_path]
hparams['use_label_mask'] = True
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert signals[0] == ['labels', 'labels_masks']
assert transforms[0] == [None, None]
assert paths[0] == [hdf5_path, hdf5_path]
hparams['use_label_mask'] = False
# -----------------
# labels_masks
# -----------------
hparams['model_class'] = 'labels_masks'
hparams_, signals, transforms, paths = utils.get_data_generator_inputs(
hparams, sess_ids, check_splits=False)
assert signals[0] == ['labels_masks']
assert transforms[0] == [None]
assert paths[0] == [hdf5_path]
# -----------------
# other
# -----------------
hparams['model_class'] = 'test'
with pytest.raises(ValueError):
utils.get_data_generator_inputs(hparams, sess_ids, check_splits=False)
def test_get_transforms_paths():
hparams = {
'data_dir': 'ddir', 'results_dir': 'rdir', 'lab': 'lab', 'expt': 'expt',
'animal': 'animal', 'session': 'session'}
session_dir = os.path.join(
hparams['data_dir'], hparams['lab'], hparams['expt'], hparams['animal'],
hparams['session'])
hdf5_path = os.path.join(session_dir, 'data.hdf5')
sess_id_str = str(
'%s_%s_%s_%s_' % (hparams['lab'], hparams['expt'], hparams['animal'], hparams['session']))
# ------------------------
# neural data
# ------------------------
# spikes, no thresholding
hparams['neural_type'] = 'spikes'
hparams['neural_thresh'] = 0
transform, path = utils.get_transforms_paths(
'neural', hparams, sess_id=None, check_splits=False)
assert path == hdf5_path
assert transform is None
# spikes, thresholding
hparams['neural_type'] = 'spikes'
hparams['neural_thresh'] = 1
hparams['neural_bin_size'] = 1
transform, path = utils.get_transforms_paths(
'neural', hparams, sess_id=None, check_splits=False)
assert path == hdf5_path
assert transform.__repr__().find('Threshold') > -1
# calcium, no zscoring
hparams['neural_type'] = 'ca'
hparams['model_type'] = 'ae-neural'
transform, path = utils.get_transforms_paths(
'neural', hparams, sess_id=None, check_splits=False)
assert path == hdf5_path
assert transform is None
# calcium, zscoring
hparams['neural_type'] = 'ca'
hparams['model_type'] = 'neural-ae'
transform, path = utils.get_transforms_paths(
'neural', hparams, sess_id=None, check_splits=False)
assert path == hdf5_path
assert transform.__repr__().find('ZScore') > -1
# raise exception for incorrect neural type
hparams['neural_type'] = 'wf'
with pytest.raises(ValueError):
utils.get_transforms_paths('neural', hparams, sess_id=None, check_splits=False)
# TODO: test subsampling methods
# ------------------------
# ae latents
# ------------------------
hparams['session_dir'] = session_dir
hparams['ae_model_class'] = 'ae'
hparams['ae_model_type'] = 'conv'
hparams['n_ae_latents'] = 8
hparams['ae_experiment_name'] = 'tt_expt_ae'
hparams['ae_version'] = 0
ae_path = os.path.join(
hparams['data_dir'], hparams['lab'], hparams['expt'], hparams['animal'],
hparams['session'], hparams['ae_model_class'], hparams['ae_model_type'],
'%02i_latents' % hparams['n_ae_latents'], hparams['ae_experiment_name'])
# user-defined latent path
hparams['ae_latents_file'] = 'path/to/latents'
transform, path = utils.get_transforms_paths(
'ae_latents', hparams, sess_id=None, check_splits=False)
assert path == hparams['ae_latents_file']
assert transform is None
hparams.pop('ae_latents_file')
# build pathname from hparams
transform, path = utils.get_transforms_paths(
'ae_latents', hparams, sess_id=None, check_splits=False)
assert path == os.path.join(
ae_path, 'version_%i' % hparams['ae_version'], '%slatents.pkl' % sess_id_str)
assert transform is None
# get correct transform
transform, path = utils.get_transforms_paths(
'ae_latents_me', hparams, sess_id=None, check_splits=False)
assert path == os.path.join(
ae_path, 'version_%i' % hparams['ae_version'], '%slatents.pkl' % sess_id_str)
assert transform.__repr__().find('MotionEnergy') > -1
# TODO: use get_best_model_version()
# ------------------------
# arhmm states
# ------------------------
hparams['n_ae_latents'] = 8
hparams['n_arhmm_states'] = 2
hparams['transitions'] = 'stationary'
hparams['noise_type'] = 'gaussian'
hparams['arhmm_experiment_name'] = 'tt_expt_arhmm'
hparams['arhmm_version'] = 1
arhmm_path = os.path.join(
hparams['data_dir'], hparams['lab'], hparams['expt'], hparams['animal'],
hparams['session'], 'arhmm', '%02i_latents' % hparams['n_ae_latents'],
'%02i_states' % hparams['n_arhmm_states'], hparams['transitions'],
hparams['noise_type'], hparams['arhmm_experiment_name'])
# user-defined state path
hparams['arhmm_states_file'] = 'path/to/states'
transform, path = utils.get_transforms_paths(
'arhmm_states', hparams, sess_id=None, check_splits=False)
assert path == hparams['arhmm_states_file']
assert transform is None
hparams.pop('arhmm_states_file')
# build path name from hparams
transform, path = utils.get_transforms_paths(
'arhmm_states', hparams, sess_id=None, check_splits=False)
assert path == os.path.join(
arhmm_path, 'version_%i' % hparams['arhmm_version'], '%sstates.pkl' % sess_id_str)
assert transform is None
# include shuffle transform
hparams['shuffle_rng_seed'] = 0
transform, path = utils.get_transforms_paths(
'arhmm_states', hparams, sess_id=None, check_splits=False)
assert path == os.path.join(
arhmm_path, 'version_%i' % hparams['arhmm_version'], '%sstates.pkl' % sess_id_str)
assert transform.__repr__().find('BlockShuffle') > -1
# TODO: use get_best_model_version()
# ------------------------
# neural ae predictions
# ------------------------
hparams['n_ae_latents'] = 8
hparams['neural_ae_model_type'] = 'linear'
hparams['neural_ae_experiment_name'] = 'tt_expt_ae_decoder'
hparams['neural_ae_version'] = 2
ae_pred_path = os.path.join(
hparams['data_dir'], hparams['lab'], hparams['expt'], hparams['animal'],
hparams['session'], 'neural-ae', '%02i_latents' % hparams['n_ae_latents'],
hparams['neural_ae_model_type'], 'all', hparams['neural_ae_experiment_name'])
# user-defined predictions path
hparams['ae_predictions_file'] = 'path/to/predictions'
transform, path = utils.get_transforms_paths(
'neural_ae_predictions', hparams, sess_id=None, check_splits=False)
assert path == hparams['ae_predictions_file']
assert transform is None
hparams.pop('ae_predictions_file')
# build pathname from hparams
transform, path = utils.get_transforms_paths(
'neural_ae_predictions', hparams, sess_id=None, check_splits=False)
assert path == os.path.join(
ae_pred_path, 'version_%i' % hparams['neural_ae_version'],
'%spredictions.pkl' % sess_id_str)
assert transform is None
# TODO: use get_best_model_version()
# ------------------------
# neural arhmm predictions
# ------------------------
hparams['n_ae_latents'] = 8
hparams['n_arhmm_states'] = 10
hparams['transitions'] = 'stationary'
hparams['noise_type'] = 'studentst'
hparams['neural_arhmm_model_type'] = 'linear'
hparams['neural_arhmm_experiment_name'] = 'tt_expt_ae_decoder'
hparams['neural_arhmm_version'] = 3
arhmm_pred_path = os.path.join(
hparams['data_dir'], hparams['lab'], hparams['expt'], hparams['animal'],
hparams['session'], 'neural-arhmm', '%02i_latents' % hparams['n_ae_latents'],
'%02i_states' % hparams['n_arhmm_states'], hparams['transitions'],
hparams['neural_arhmm_model_type'], 'all', hparams['neural_arhmm_experiment_name'])
# user-defined predictions path
hparams['arhmm_predictions_file'] = 'path/to/predictions'
transform, path = utils.get_transforms_paths(
'neural_arhmm_predictions', hparams, sess_id=None, check_splits=False)
assert path == hparams['arhmm_predictions_file']
assert transform is None
hparams.pop('arhmm_predictions_file')
# build pathname from hparams
transform, path = utils.get_transforms_paths(
'neural_arhmm_predictions', hparams, sess_id=None, check_splits=False)
assert path == os.path.join(
arhmm_pred_path, 'version_%i' % hparams['neural_arhmm_version'],
'%spredictions.pkl' % sess_id_str)
assert transform is None
# TODO: use get_best_model_version()
# ------------------------
# other
# ------------------------
with pytest.raises(ValueError):
utils.get_transforms_paths('invalid', hparams, sess_id=None, check_splits=False)
def test_load_labels_like_latents():
# TODO
pass
def test_get_region_list(tmpdir):
# make tmp hdf5 file
path = tmpdir.join('data.hdf5')
idx_data = {
'i0': np.array([0, 1, 2]),
'i1': np.array([3, 4, 5]),
'i2': np.array([6, 7, 8])}
with h5py.File(path, 'w') as f:
group0 = f.create_group('group0')
# groupa = f.create_group('groupa')
group1 = group0.create_group('group1')
group1.create_dataset('i0', data=idx_data['i0'])
group1.create_dataset('i1', data=idx_data['i1'])
group1.create_dataset('i2', data=idx_data['i2'])
# correct indices are returned
hparams = {
'data_dir': tmpdir,
'lab': '',
'expt': '',
'animal': '',
'session': '',
'subsample_idxs_group_0': 'group0',
'subsample_idxs_group_1': 'group1'}
idx_return = utils.get_region_list(hparams)
for key in idx_data.keys():
assert np.all(idx_data[key] == idx_return[key])
# raise exception when first group is invalid
hparams['subsample_idxs_group_0'] = 'group2'
hparams['subsample_idxs_group_1'] = 'group1'
with pytest.raises(ValueError):
utils.get_region_list(hparams)
# raise exception when first group contains no second group
hparams['subsample_idxs_group_0'] = 'groupa'
hparams['subsample_idxs_group_1'] = 'group1'
with pytest.raises(ValueError):
utils.get_region_list(hparams)
# raise exception when second group is invalid
hparams['subsample_idxs_group_0'] = 'group0'
hparams['subsample_idxs_group_1'] = 'group2'
with pytest.raises(ValueError):
utils.get_region_list(hparams)
| 38.800263 | 98 | 0.640261 | 3,456 | 29,527 | 5.170139 | 0.05787 | 0.030445 | 0.057309 | 0.075106 | 0.895791 | 0.864674 | 0.843911 | 0.819118 | 0.777199 | 0.750392 | 0 | 0.010497 | 0.190199 | 29,527 | 760 | 99 | 38.851316 | 0.736774 | 0.078708 | 0 | 0.762162 | 0 | 0 | 0.228506 | 0.024549 | 0 | 0 | 0 | 0.001316 | 0.281081 | 1 | 0.007207 | false | 0.001802 | 0.009009 | 0 | 0.016216 | 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 |
0c5aa5f47dd7cb2a4de5b2f5d96c9488b871a48e | 16,543 | py | Python | terminusdb_client/tests/ans_cardinality.py | LogicalDash/terminusdb-client-python | 7f13f77e60f891b1e6bd214ebf73ff7f75fcaff8 | [
"Apache-2.0"
] | 43 | 2020-06-12T23:44:17.000Z | 2022-03-12T15:18:55.000Z | terminusdb_client/tests/ans_cardinality.py | LogicalDash/terminusdb-client-python | 7f13f77e60f891b1e6bd214ebf73ff7f75fcaff8 | [
"Apache-2.0"
] | 151 | 2020-06-12T20:23:05.000Z | 2022-03-29T20:38:35.000Z | terminusdb_client/tests/ans_cardinality.py | LogicalDash/terminusdb-client-python | 7f13f77e60f891b1e6bd214ebf73ff7f75fcaff8 | [
"Apache-2.0"
] | 46 | 2020-06-16T20:51:21.000Z | 2022-03-17T18:11:46.000Z | import pytest
@pytest.fixture(scope="module")
def property_max():
return {
"@type": "And",
"and": [
{
"@type": "AddTriple",
"subject": {"@type": "NodeValue", "node": "scm:P"},
"predicate": {"@type": "NodeValue", "node": "rdf:type"},
"object": {
"@type": "Value",
"node": "owl:DatatypeProperty",
},
"graph": "schema",
},
{
"@type": "AddTriple",
"subject": {"@type": "NodeValue", "node": "scm:P"},
"predicate": {
"@type": "NodeValue",
"node": "rdfs:range",
},
"object": {"@type": "Value", "node": "xsd:string"},
"graph": "schema",
},
{
"@type": "AddTriple",
"subject": {"@type": "NodeValue", "node": "scm:P"},
"predicate": {
"@type": "NodeValue",
"node": "rdfs:domain",
},
"object": {"@type": "Value", "node": "scm:A"},
"graph": "schema",
},
{
"@type": "AddTriple",
"subject": {"@type": "NodeValue", "node": "scm:P_max"},
"predicate": {"@type": "NodeValue", "node": "rdf:type"},
"object": {
"@type": "Value",
"node": "owl:Restriction",
},
"graph": "schema",
},
{
"@type": "AddTriple",
"subject": {"@type": "NodeValue", "node": "scm:P_max"},
"predicate": {
"@type": "NodeValue",
"node": "owl:onProperty",
},
"object": {"@type": "Value", "node": "scm:P"},
"graph": "schema",
},
{
"@type": "AddTriple",
"subject": {"@type": "NodeValue", "node": "scm:P_max"},
"predicate": {
"@type": "NodeValue",
"node": "owl:maxCardinality",
},
"object": {
"@type": "Value",
"data": {
"@value": 4,
"@type": "xsd:nonNegativeInteger",
},
},
"graph": "schema",
},
{
"@type": "AddTriple",
"subject": {"@type": "NodeValue", "node": "scm:A"},
"predicate": {
"@type": "NodeValue",
"node": "rdfs:subClassOf",
},
"object": {"@type": "Value", "node": "scm:P_max"},
"graph": "schema",
},
],
}
@pytest.fixture(scope="module")
def property_min():
return {
"@type": "And",
"and": [
{
"@type": "AddTriple",
"subject": {"@type": "NodeValue", "node": "scm:P"},
"predicate": {"@type": "NodeValue", "node": "rdf:type"},
"object": {
"@type": "Value",
"node": "owl:DatatypeProperty",
},
"graph": "schema",
},
{
"@type": "AddTriple",
"subject": {"@type": "NodeValue", "node": "scm:P"},
"predicate": {
"@type": "NodeValue",
"node": "rdfs:range",
},
"object": {"@type": "Value", "node": "xsd:string"},
"graph": "schema",
},
{
"@type": "AddTriple",
"subject": {"@type": "NodeValue", "node": "scm:P"},
"predicate": {
"@type": "NodeValue",
"node": "rdfs:domain",
},
"object": {"@type": "Value", "node": "scm:A"},
"graph": "schema",
},
{
"@type": "AddTriple",
"subject": {"@type": "NodeValue", "node": "scm:P_min"},
"predicate": {"@type": "NodeValue", "node": "rdf:type"},
"object": {
"@type": "Value",
"node": "owl:Restriction",
},
"graph": "schema",
},
{
"@type": "AddTriple",
"subject": {"@type": "NodeValue", "node": "scm:P_min"},
"predicate": {
"@type": "NodeValue",
"node": "owl:onProperty",
},
"object": {"@type": "Value", "node": "scm:P"},
"graph": "schema",
},
{
"@type": "AddTriple",
"subject": {"@type": "NodeValue", "node": "scm:P_min"},
"predicate": {
"@type": "NodeValue",
"node": "owl:minCardinality",
},
"object": {
"@type": "Value",
"data": {
"@value": 2,
"@type": "xsd:nonNegativeInteger",
},
},
"graph": "schema",
},
{
"@type": "AddTriple",
"subject": {"@type": "NodeValue", "node": "scm:A"},
"predicate": {
"@type": "NodeValue",
"node": "rdfs:subClassOf",
},
"object": {"@type": "Value", "node": "scm:P_min"},
"graph": "schema",
},
],
}
@pytest.fixture(scope="module")
def property_cardinalty():
return {
"@type": "And",
"and": [
{
"@type": "AddTriple",
"subject": {"@type": "NodeValue", "node": "scm:P"},
"predicate": {"@type": "NodeValue", "node": "rdf:type"},
"object": {
"@type": "Value",
"node": "owl:DatatypeProperty",
},
"graph": "schema",
},
{
"@type": "AddTriple",
"subject": {"@type": "NodeValue", "node": "scm:P"},
"predicate": {
"@type": "NodeValue",
"node": "rdfs:range",
},
"object": {"@type": "Value", "node": "xsd:string"},
"graph": "schema",
},
{
"@type": "AddTriple",
"subject": {"@type": "NodeValue", "node": "scm:P"},
"predicate": {
"@type": "NodeValue",
"node": "rdfs:domain",
},
"object": {"@type": "Value", "node": "scm:A"},
"graph": "schema",
},
{
"@type": "AddTriple",
"subject": {
"@type": "NodeValue",
"node": "scm:P_cardinality",
},
"predicate": {"@type": "NodeValue", "node": "rdf:type"},
"object": {
"@type": "Value",
"node": "owl:Restriction",
},
"graph": "schema",
},
{
"@type": "AddTriple",
"subject": {
"@type": "NodeValue",
"node": "scm:P_cardinality",
},
"predicate": {
"@type": "NodeValue",
"node": "owl:onProperty",
},
"object": {"@type": "Value", "node": "scm:P"},
"graph": "schema",
},
{
"@type": "AddTriple",
"subject": {
"@type": "NodeValue",
"node": "scm:P_cardinality",
},
"predicate": {
"@type": "NodeValue",
"node": "owl:cardinality",
},
"object": {
"@type": "Value",
"data": {
"@value": 3,
"@type": "xsd:nonNegativeInteger",
},
},
"graph": "schema",
},
{
"@type": "AddTriple",
"subject": {"@type": "NodeValue", "node": "scm:A"},
"predicate": {
"@type": "NodeValue",
"node": "rdfs:subClassOf",
},
"object": {
"@type": "Value",
"node": "scm:P_cardinality",
},
"graph": "schema",
},
],
}
@pytest.fixture(scope="module")
def chain_insert():
return {
"@type": "And",
"and": [
{
"@type": "AddTriple",
"subject": {
"@type": "NodeValue",
"variable": "Node_ID",
},
"predicate": {"@type": "NodeValue", "node": "rdf:type"},
"object": {"@type": "Value", "variable": "Type"},
},
{
"@type": "AddTriple",
"subject": {"@type": "NodeValue", "variable": "Node_ID"},
"predicate": {"@type": "NodeValue", "node": "rdfs:label"},
"object": {"@type": "Value", "variable": "Label"},
},
{
"@type": "AddTriple",
"subject": {"@type": "NodeValue", "variable": "Node_ID"},
"predicate": {
"@type": "NodeValue",
"node": "rdfs:comment",
},
"object": {"@type": "Value", "variable": "Description"},
},
{
"@type": "AddTriple",
"subject": {
"@type": "NodeValue",
"variable": "Node_ID",
},
"predicate": {"@type": "NodeValue", "node": "scm:prop"},
"object": {
"@type": "Value",
"variable": "Prop",
},
},
{
"@type": "AddTriple",
"subject": {
"@type": "NodeValue",
"variable": "Node_ID",
},
"predicate": {"@type": "NodeValue", "node": "scm:prop"},
"object": {
"@type": "Value",
"variable": "Prop2",
},
},
{
"@type": "AddTriple",
"subject": {"@type": "NodeValue", "variable": "Node_ID"},
"predicate": {
"@type": "NodeValue",
"node": "rdfs:subClassOf",
},
"object": {
"@type": "Value",
"node": "scm:myParentClass",
},
},
],
}
@pytest.fixture(scope="module")
def chain_doctype():
return {
"@type": "And",
"and": [
{
"@type": "AddTriple",
"subject": {"@type": "NodeValue", "node": "scm:MyDoc"},
"predicate": {"@type": "NodeValue", "node": "rdf:type"},
"object": {"@type": "Value", "node": "owl:Class"},
"graph": "schema",
},
{
"@type": "AddTriple",
"subject": {"@type": "NodeValue", "node": "scm:MyDoc"},
"predicate": {
"@type": "NodeValue",
"node": "rdfs:subClassOf",
},
"object": {
"@type": "Value",
"node": "terminus:Document",
},
"graph": "schema",
},
{
"@type": "AddTriple",
"subject": {"@type": "NodeValue", "node": "scm:MyDoc"},
"predicate": {"@type": "NodeValue", "node": "rdfs:label"},
"object": {
"@type": "Value",
"data": {
"@value": "abc",
"@type": "xsd:string",
"@language": "en",
},
},
"graph": "schema",
},
{
"@type": "AddTriple",
"subject": {"@type": "NodeValue", "node": "scm:MyDoc"},
"predicate": {
"@type": "NodeValue",
"node": "rdfs:comment",
},
"object": {
"@type": "Value",
"data": {
"@value": "abcd",
"@type": "xsd:string",
"@language": "en",
},
},
"graph": "schema",
},
{
"@type": "AddTriple",
"subject": {"@type": "NodeValue", "node": "scm:prop"},
"predicate": {"@type": "NodeValue", "node": "rdf:type"},
"object": {
"@type": "Value",
"node": "owl:DatatypeProperty",
},
"graph": "schema",
},
{
"@type": "AddTriple",
"subject": {"@type": "NodeValue", "node": "scm:prop"},
"predicate": {"@type": "NodeValue", "node": "rdfs:range"},
"object": {"@type": "Value", "node": "xsd:dateTime"},
"graph": "schema",
},
{
"@type": "AddTriple",
"subject": {"@type": "NodeValue", "node": "scm:prop"},
"predicate": {
"@type": "NodeValue",
"node": "rdfs:domain",
},
"object": {"@type": "Value", "node": "scm:MyDoc"},
"graph": "schema",
},
{
"@type": "AddTriple",
"subject": {"@type": "NodeValue", "node": "scm:prop"},
"predicate": {"@type": "NodeValue", "node": "rdfs:label"},
"object": {
"@type": "Value",
"data": {
"@value": "aaa",
"@type": "xsd:string",
"@language": "en",
},
},
"graph": "schema",
},
{
"@type": "AddTriple",
"subject": {"@type": "NodeValue", "node": "scm:prop2"},
"predicate": {"@type": "NodeValue", "node": "rdf:type"},
"object": {
"@type": "Value",
"node": "owl:DatatypeProperty",
},
"graph": "schema",
},
{
"@type": "AddTriple",
"subject": {"@type": "NodeValue", "node": "scm:prop2"},
"predicate": {"@type": "NodeValue", "node": "rdfs:range"},
"object": {"@type": "Value", "node": "xsd:integer"},
"graph": "schema",
},
{
"@type": "AddTriple",
"subject": {"@type": "NodeValue", "node": "scm:prop2"},
"predicate": {
"@type": "NodeValue",
"node": "rdfs:domain",
},
"object": {"@type": "Value", "node": "scm:MyDoc"},
"graph": "schema",
},
{
"@type": "AddTriple",
"subject": {"@type": "NodeValue", "node": "scm:prop2"},
"predicate": {"@type": "NodeValue", "node": "rdfs:label"},
"object": {
"@type": "Value",
"data": {
"@value": "abe",
"@type": "xsd:string",
"@language": "en",
},
},
"graph": "schema",
},
],
}
| 34.464583 | 74 | 0.309255 | 939 | 16,543 | 5.423855 | 0.071353 | 0.199097 | 0.24033 | 0.183782 | 0.957785 | 0.941881 | 0.927744 | 0.913607 | 0.895543 | 0.875515 | 0 | 0.000975 | 0.503838 | 16,543 | 479 | 75 | 34.536534 | 0.619518 | 0 | 0 | 0.648188 | 0 | 0 | 0.313305 | 0.00399 | 0 | 0 | 0 | 0 | 0 | 1 | 0.010661 | true | 0 | 0.002132 | 0.010661 | 0.023454 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
a7625d10b14ef4d677d3598dc0af04586efef47e | 131 | py | Python | helloWorld/operators.py | NaebIis/Python | 2b10a7c59abf3618695331525d0bc812845ae40f | [
"MIT"
] | null | null | null | helloWorld/operators.py | NaebIis/Python | 2b10a7c59abf3618695331525d0bc812845ae40f | [
"MIT"
] | null | null | null | helloWorld/operators.py | NaebIis/Python | 2b10a7c59abf3618695331525d0bc812845ae40f | [
"MIT"
] | null | null | null | a = 12
b = 3
print(a + b)
print(a - b)
print(a * b)
print(a / b)
print(a // b)
print(a % b)
print('testing', a + b / 3 - 4 * 12) | 13.1 | 37 | 0.496183 | 29 | 131 | 2.241379 | 0.241379 | 0.215385 | 0.646154 | 1.107692 | 0.723077 | 0.723077 | 0.723077 | 0.723077 | 0.723077 | 0.723077 | 0 | 0.073684 | 0.274809 | 131 | 10 | 37 | 13.1 | 0.610526 | 0 | 0 | 0 | 0 | 0 | 0.05303 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.777778 | 1 | 0 | 0 | null | 1 | 1 | 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 | 10 |
a79a7d8e79cc7df9b6031d1ab49d68e12c1c8a5b | 4,495 | py | Python | tests/test_expression_helper.py | beepscore/searcher | 189ac8c2a55030bbcf9f82d9e5b0fb40e6caf03b | [
"MIT"
] | null | null | null | tests/test_expression_helper.py | beepscore/searcher | 189ac8c2a55030bbcf9f82d9e5b0fb40e6caf03b | [
"MIT"
] | null | null | null | tests/test_expression_helper.py | beepscore/searcher | 189ac8c2a55030bbcf9f82d9e5b0fb40e6caf03b | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import unittest
from searcher import expression_helper
class TestExpressionHelper(unittest.TestCase):
def setUp(self):
pass
def test_ignored_filename_patterns(self):
expected = ['\A\.$', '\A\.\.$', '\A\.DS_Store$', '\.git', '\.svn', '\.exe$']
self.assertEqual(expected, expression_helper.ignored_filename_patterns)
def test_is_string_matched_in_regular_expression_objects_dot(self):
""" match '.' representing current directory
\A matches only at start of string
$ matches at end of string
https://docs.python.org/2/library/re.html
"""
ignored_filename_patterns = ['\A\.$']
ignored_regex_objects = expression_helper.regex_objects_from_patterns(ignored_filename_patterns)
self.assertTrue(expression_helper.is_string_matched_in_regular_expression_objects('.', ignored_regex_objects))
self.assertFalse(expression_helper.is_string_matched_in_regular_expression_objects('..', ignored_regex_objects))
self.assertFalse(expression_helper.is_string_matched_in_regular_expression_objects('a.', ignored_regex_objects))
self.assertFalse(expression_helper.is_string_matched_in_regular_expression_objects('.c', ignored_regex_objects))
self.assertFalse(expression_helper.is_string_matched_in_regular_expression_objects('a.c', ignored_regex_objects))
def test_is_string_matched_in_regular_expression_objects_dotdot(self):
""" match '..' representing directory above current directory
\A matches only at start of string
$ matches at end of string
https://docs.python.org/2/library/re.html
"""
ignored_filename_patterns = ['\A\.\.$']
ignored_regex_objects = expression_helper.regex_objects_from_patterns(ignored_filename_patterns)
self.assertTrue(expression_helper.is_string_matched_in_regular_expression_objects('..', ignored_regex_objects))
self.assertFalse(expression_helper.is_string_matched_in_regular_expression_objects('a..', ignored_regex_objects))
self.assertFalse(expression_helper.is_string_matched_in_regular_expression_objects('..c', ignored_regex_objects))
self.assertFalse(expression_helper.is_string_matched_in_regular_expression_objects('a..c', ignored_regex_objects))
def test_is_string_matched_in_regular_expression_objects_dotDS_Store(self):
""" match '.DS_Store' OSX file system file
\A matches only at start of string
$ matches at end of string
https://docs.python.org/2/library/re.html
"""
ignored_filename_patterns = ['\A\.DS_Store$']
ignored_regex_objects = expression_helper.regex_objects_from_patterns(ignored_filename_patterns)
self.assertTrue(expression_helper.is_string_matched_in_regular_expression_objects('.DS_Store', ignored_regex_objects))
self.assertFalse(expression_helper.is_string_matched_in_regular_expression_objects('a.DS_Store', ignored_regex_objects))
self.assertFalse(expression_helper.is_string_matched_in_regular_expression_objects('.DS_Storeb', ignored_regex_objects))
def test_is_string_matched_in_regular_expression_objects_inner(self):
""" match 'ython' within string. Case sensitive """
ignored_filename_patterns = ['ython']
ignored_regex_objects = expression_helper.regex_objects_from_patterns(ignored_filename_patterns)
self.assertTrue(expression_helper.is_string_matched_in_regular_expression_objects("A big python is here.", ignored_regex_objects))
self.assertFalse(expression_helper.is_string_matched_in_regular_expression_objects("A big pythoxyz", ignored_regex_objects))
def test_is_string_matched_in_regular_expression_objects_dot_git(self):
ignored_filename_patterns = ['\.git']
ignored_regex_objects = expression_helper.regex_objects_from_patterns(ignored_filename_patterns)
self.assertTrue(expression_helper.is_string_matched_in_regular_expression_objects(".git", ignored_regex_objects))
self.assertTrue(expression_helper.is_string_matched_in_regular_expression_objects("a/.git/objects", ignored_regex_objects))
self.assertFalse(expression_helper.is_string_matched_in_regular_expression_objects("git", ignored_regex_objects))
self.assertFalse(expression_helper.is_string_matched_in_regular_expression_objects("a/git/objects", ignored_regex_objects))
if __name__ == "__main__":
unittest.main()
| 51.666667 | 138 | 0.772859 | 552 | 4,495 | 5.79529 | 0.137681 | 0.105033 | 0.107846 | 0.122226 | 0.843076 | 0.843076 | 0.840888 | 0.840888 | 0.840888 | 0.840888 | 0 | 0.001032 | 0.137931 | 4,495 | 86 | 139 | 52.267442 | 0.824516 | 0.114794 | 0 | 0.116279 | 0 | 0 | 0.052918 | 0 | 0 | 0 | 0 | 0 | 0.44186 | 1 | 0.162791 | false | 0.023256 | 0.046512 | 0 | 0.232558 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
a7a83374fd717aa904b26d9889de81dc4e81fc2b | 10,276 | py | Python | xview/models/fpn.py | mayankj/xView2-Solution | 804aa15a3d9f28c7c1d73e50ce0ed0c359a0493e | [
"MIT"
] | null | null | null | xview/models/fpn.py | mayankj/xView2-Solution | 804aa15a3d9f28c7c1d73e50ce0ed0c359a0493e | [
"MIT"
] | null | null | null | xview/models/fpn.py | mayankj/xView2-Solution | 804aa15a3d9f28c7c1d73e50ce0ed0c359a0493e | [
"MIT"
] | null | null | null | from functools import partial
from pytorch_toolbelt.modules import ABN, ACT_RELU
from pytorch_toolbelt.modules import encoders as E
from pytorch_toolbelt.modules.decoders import FPNSumDecoder, FPNCatDecoder
from pytorch_toolbelt.modules.encoders import EncoderModule
from torch import nn
from torch.nn import functional as F
from .common import disaster_type_classifier, damage_types_classifier
from ..dataset import (
OUTPUT_MASK_4_KEY,
OUTPUT_MASK_8_KEY,
OUTPUT_MASK_16_KEY,
OUTPUT_MASK_32_KEY,
OUTPUT_MASK_KEY,
DISASTER_TYPE_KEY,
DISASTER_TYPES,
DAMAGE_TYPE_KEY,
DAMAGE_TYPES,
)
__all__ = [
"FPNSumSegmentationModel",
"FPNCatSegmentationModel",
"resnet18_fpncat128",
"resnet34_fpncat128",
"resnet101_fpncat256",
"resnet152_fpncat256",
"resnet101_fpncat256",
"seresnext50_fpncat128",
"seresnext101_fpncat256",
"seresnext101_fpnsum256",
"effnetB4_fpncat128",
"densenet121_fpnsum128",
]
class FPNSumFinalBlock(nn.Module):
def __init__(self, input_channels, output_channels, abn_block=ABN):
super().__init__()
self.conv1 = nn.Conv2d(input_channels, input_channels, kernel_size=3, padding=1, bias=False)
self.abn1 = abn_block(input_channels)
self.conv2 = nn.Conv2d(input_channels, input_channels, kernel_size=3, padding=1, bias=False)
self.abn2 = abn_block(input_channels)
self.final = nn.Conv2d(input_channels, output_channels, kernel_size=3, padding=1)
def forward(self, x):
x = self.conv1(x)
x = self.abn1(x)
x = self.conv2(x)
x = self.abn2(x)
x = self.final(x)
return x
class FPNSumSegmentationModel(nn.Module):
def __init__(
self,
encoder: EncoderModule,
num_classes: int,
disaster_type_classes: int,
damage_type_classes: int,
dropout=0.25,
abn_block=ABN,
full_size_mask=True,
fpn_channels=256,
):
super().__init__()
self.encoder = encoder
self.decoder = FPNSumDecoder(
feature_maps=encoder.output_filters,
output_channels=num_classes,
dsv_channels=None,
fpn_channels=fpn_channels,
abn_block=abn_block,
dropout=dropout,
final_block=FPNSumFinalBlock,
)
self.full_size_mask = full_size_mask
if disaster_type_classes is not None:
self.disaster_type_classifier = disaster_type_classifier(
encoder.output_filters[-1], disaster_type_classes, dropout=dropout
)
else:
self.disaster_type_classifier = None
if damage_type_classes is not None:
self.damage_types_classifier = damage_types_classifier(
encoder.output_filters[-1], damage_type_classes, dropout=dropout
)
else:
self.damage_types_classifier = None
def forward(self, x):
enc_features = self.encoder(x)
# Decode mask
mask = self.decoder(enc_features)
if self.full_size_mask:
mask = F.interpolate(mask, size=x.size()[2:], mode="bilinear", align_corners=False)
output = {OUTPUT_MASK_KEY: mask}
if self.disaster_type_classifier is not None:
disaster_type = self.disaster_type_classifier(enc_features[-1])
output[DISASTER_TYPE_KEY] = disaster_type
if self.damage_types_classifier is not None:
damage_types = self.damage_types_classifier(enc_features[-1])
output[DAMAGE_TYPE_KEY] = damage_types
return output
class FPNCatFinalBlock(nn.Module):
def __init__(self, input_channels, output_channels, abn_block=ABN):
super().__init__()
self.conv1 = nn.Conv2d(input_channels, input_channels, kernel_size=3, padding=1, bias=False)
self.abn1 = abn_block(input_channels)
self.conv2 = nn.Conv2d(input_channels, output_channels, kernel_size=3, padding=1)
def forward(self, x):
x = self.conv1(x)
x = self.abn1(x)
x = self.conv2(x)
return x
class FPNCatSegmentationModel(nn.Module):
def __init__(
self,
encoder: EncoderModule,
num_classes: int,
disaster_type_classes: int,
damage_type_classes: int,
dropout=0.25,
abn_block=ABN,
fpn_channels=256,
full_size_mask=True,
):
super().__init__()
self.encoder = encoder
self.decoder = FPNCatDecoder(
feature_maps=encoder.output_filters,
output_channels=num_classes,
dsv_channels=None,
fpn_channels=fpn_channels,
abn_block=abn_block,
dropout=dropout,
final_block=partial(FPNCatFinalBlock, abn_block=abn_block),
)
self.full_size_mask = full_size_mask
if disaster_type_classes is not None:
self.disaster_type_classifier = disaster_type_classifier(
encoder.output_filters[-1], disaster_type_classes, dropout=dropout
)
else:
self.disaster_type_classifier = None
if damage_type_classes is not None:
self.damage_types_classifier = damage_types_classifier(
encoder.output_filters[-1], damage_type_classes, dropout=dropout
)
else:
self.damage_types_classifier = None
def forward(self, x):
enc_features = self.encoder(x)
# Decode mask
mask = self.decoder(enc_features)
if self.full_size_mask:
mask = F.interpolate(mask, size=x.size()[2:], mode="bilinear", align_corners=False)
output = {OUTPUT_MASK_KEY: mask}
if self.disaster_type_classifier is not None:
disaster_type = self.disaster_type_classifier(enc_features[-1])
output[DISASTER_TYPE_KEY] = disaster_type
if self.damage_types_classifier is not None:
damage_types = self.damage_types_classifier(enc_features[-1])
output[DAMAGE_TYPE_KEY] = damage_types
return output
def resnet18_fpncat128(num_classes=5, dropout=0.0, pretrained=True):
encoder = E.Resnet18Encoder(pretrained=pretrained)
encoder.change_input_channels(6)
return FPNCatSegmentationModel(
encoder,
num_classes=num_classes,
disaster_type_classes=len(DISASTER_TYPES),
damage_type_classes=len(DAMAGE_TYPES),
fpn_channels=128,
dropout=dropout,
)
def resnet34_fpncat128(num_classes=5, dropout=0.0, pretrained=True):
encoder = E.Resnet34Encoder(pretrained=pretrained)
encoder.change_input_channels(6)
return FPNCatSegmentationModel(
encoder,
num_classes=num_classes,
disaster_type_classes=len(DISASTER_TYPES),
damage_type_classes=len(DAMAGE_TYPES),
fpn_channels=128,
dropout=dropout,
)
def seresnext50_fpncat128(num_classes=5, dropout=0.0, pretrained=True):
encoder = E.SEResNeXt50Encoder(pretrained=pretrained)
encoder.change_input_channels(6)
return FPNCatSegmentationModel(
encoder,
num_classes=num_classes,
disaster_type_classes=len(DISASTER_TYPES),
damage_type_classes=len(DAMAGE_TYPES),
fpn_channels=128,
dropout=dropout,
abn_block=partial(ABN, activation=ACT_RELU),
)
def seresnext101_fpncat256(num_classes=5, dropout=0.0, pretrained=True):
encoder = E.SEResNeXt101Encoder(pretrained=pretrained)
encoder.change_input_channels(6)
return FPNCatSegmentationModel(
encoder,
num_classes=num_classes,
disaster_type_classes=len(DISASTER_TYPES),
damage_type_classes=len(DAMAGE_TYPES),
fpn_channels=256,
dropout=dropout,
)
def seresnext101_fpnsum256(num_classes=5, dropout=0.0, pretrained=True):
encoder = E.SEResNeXt101Encoder(pretrained=pretrained)
encoder.change_input_channels(6)
return FPNSumSegmentationModel(
encoder,
num_classes=num_classes,
disaster_type_classes=len(DISASTER_TYPES),
damage_type_classes=len(DAMAGE_TYPES),
fpn_channels=256,
dropout=dropout,
)
def resnet101_fpncat256(num_classes=5, dropout=0.0, pretrained=True):
encoder = E.Resnet101Encoder(pretrained=pretrained)
encoder.change_input_channels(6)
return FPNCatSegmentationModel(
encoder,
num_classes=num_classes,
disaster_type_classes=len(DISASTER_TYPES),
damage_type_classes=len(DAMAGE_TYPES),
fpn_channels=256,
dropout=dropout,
)
def resnet152_fpncat256(num_classes=5, dropout=0.0, pretrained=True):
encoder = E.Resnet152Encoder(pretrained=pretrained)
encoder.change_input_channels(6)
return FPNCatSegmentationModel(
encoder,
num_classes=num_classes,
disaster_type_classes=len(DISASTER_TYPES),
damage_type_classes=len(DAMAGE_TYPES),
fpn_channels=256,
dropout=dropout,
)
def effnetB4_fpncat128(num_classes=5, dropout=0.0, pretrained=True):
encoder = E.EfficientNetB4Encoder(abn_params={"activation": "swish"}, pretrained=pretrained)
encoder.change_input_channels(6)
return FPNCatSegmentationModel(
encoder,
num_classes=num_classes,
disaster_type_classes=len(DISASTER_TYPES),
damage_type_classes=len(DAMAGE_TYPES),
fpn_channels=128,
dropout=dropout,
)
def densenet121_fpnsum128(input_channels=6, num_classes=5, dropout=0.0, pretrained=True):
encoder = E.DenseNet121Encoder(pretrained=pretrained)
encoder.change_input_channels(input_channels)
return FPNSumSegmentationModel(
encoder,
num_classes=num_classes,
disaster_type_classes=len(DISASTER_TYPES),
damage_type_classes=len(DAMAGE_TYPES),
fpn_channels=128,
dropout=dropout,
abn_block=partial(ABN, activation=ACT_RELU),
)
| 32.830671 | 101 | 0.656481 | 1,143 | 10,276 | 5.580052 | 0.108486 | 0.062088 | 0.039511 | 0.036061 | 0.813578 | 0.795861 | 0.788648 | 0.776733 | 0.776733 | 0.776733 | 0 | 0.032497 | 0.263332 | 10,276 | 312 | 102 | 32.935897 | 0.81004 | 0.002238 | 0 | 0.70155 | 0 | 0 | 0.027571 | 0.013282 | 0 | 0 | 0 | 0 | 0 | 1 | 0.065891 | false | 0 | 0.034884 | 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 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
38ffe57cdf264a10bb1e0af2f6844c5b0ed793cb | 1,827 | py | Python | src/graph_transpiler/webdnn/backend/fallback/kernels/__init__.py | gunpowder78/webdnn | c659ea49007f91d178ce422a1eebe289516a71ee | [
"MIT"
] | 1 | 2018-07-26T13:52:21.000Z | 2018-07-26T13:52:21.000Z | src/graph_transpiler/webdnn/backend/fallback/kernels/__init__.py | gunpowder78/webdnn | c659ea49007f91d178ce422a1eebe289516a71ee | [
"MIT"
] | null | null | null | src/graph_transpiler/webdnn/backend/fallback/kernels/__init__.py | gunpowder78/webdnn | c659ea49007f91d178ce422a1eebe289516a71ee | [
"MIT"
] | null | null | null | from webdnn.backend.fallback.kernels import abs
from webdnn.backend.fallback.kernels import average_pooling_2d
from webdnn.backend.fallback.kernels import broadcast
from webdnn.backend.fallback.kernels import clipped_relu
from webdnn.backend.fallback.kernels import concat
from webdnn.backend.fallback.kernels import convolution_2d
from webdnn.backend.fallback.kernels import elementwise
from webdnn.backend.fallback.kernels import elementwise_add
from webdnn.backend.fallback.kernels import elementwise_div
from webdnn.backend.fallback.kernels import elementwise_mul
from webdnn.backend.fallback.kernels import elementwise_pow
from webdnn.backend.fallback.kernels import elu
from webdnn.backend.fallback.kernels import exp
from webdnn.backend.fallback.kernels import hard_sigmoid
from webdnn.backend.fallback.kernels import leaky_relu
from webdnn.backend.fallback.kernels import linear
from webdnn.backend.fallback.kernels import local_response_normalization
from webdnn.backend.fallback.kernels import max_pooling_2d
from webdnn.backend.fallback.kernels import reinterpret_axis
from webdnn.backend.fallback.kernels import relu
from webdnn.backend.fallback.kernels import reshape
from webdnn.backend.fallback.kernels import rsqrt
from webdnn.backend.fallback.kernels import scalar_add
from webdnn.backend.fallback.kernels import scalar_affine
from webdnn.backend.fallback.kernels import scalar_mul
from webdnn.backend.fallback.kernels import scalar_pow
from webdnn.backend.fallback.kernels import sigmoid
from webdnn.backend.fallback.kernels import softmax
from webdnn.backend.fallback.kernels import softplus
from webdnn.backend.fallback.kernels import softsign
from webdnn.backend.fallback.kernels import split_axis
from webdnn.backend.fallback.kernels import tanh
from webdnn.backend.fallback.kernels import threshold_relu
| 53.735294 | 72 | 0.873563 | 252 | 1,827 | 6.25 | 0.166667 | 0.209524 | 0.35619 | 0.52381 | 0.892063 | 0.892063 | 0.578413 | 0.059683 | 0 | 0 | 0 | 0.00177 | 0.07225 | 1,827 | 33 | 73 | 55.363636 | 0.927434 | 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 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
ac259a2996edc3f10d7fc300224a50a157fe82ed | 16,415 | py | Python | keras_cbc/layers/detection_probability_functions.py | cbc-authors/cbc_networks | b65a7967fa1f6ac2cec23503a9f01fa7bf04ae03 | [
"BSD-3-Clause"
] | 15 | 2019-10-23T15:47:39.000Z | 2022-03-16T20:56:21.000Z | keras_cbc/layers/detection_probability_functions.py | cbc-authors/cbc_networks | b65a7967fa1f6ac2cec23503a9f01fa7bf04ae03 | [
"BSD-3-Clause"
] | 1 | 2020-03-18T04:47:01.000Z | 2020-03-24T10:07:36.000Z | keras_cbc/layers/detection_probability_functions.py | saralajew/cbc_networks | b65a7967fa1f6ac2cec23503a9f01fa7bf04ae03 | [
"BSD-3-Clause"
] | 4 | 2019-11-08T18:16:13.000Z | 2020-04-03T15:09:39.000Z | # -*- coding: utf-8 -*-
"""Implementation of detection probability function layers.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from keras.layers import Layer
from keras.utils import conv_utils
from keras import activations
import keras.backend as K
import numpy as np
class CosineSimilarity2D(Layer):
"""2-dimensional sliding operation with the cosine similarity.
This layer computes the cosine similarity in a 2-dimensional sliding
operation on a given input. Thereby, it accepts a predefined definition
of components given by the argument `components` or a second input
tensor of components.
The layer can handle multiple versions of one component via `n_replicas`.
The layer requires `K.image_data_format()` to be 'channels_last'.
Use the `activation` argument to apply a proper activation to
convert the similarity in a detection probability function.
The documentation of the arguments `strides`, `padding`, `dilation_rate`
and `activation` is copied from the Keras documentation of the `Conv2D`
layer.
# Arguments
n_replicas: An integer specifying the number of replicas for each
component. This parameter can be used to learn for one component
multiple versions to handle variations. This could be more
efficient in terms of parameters than learning multiple
reasoning concepts. The output number of components is the input
number of components divided by `n_replicas`. A respective
handling of the replicas must performed manually afterwards.
strides: An integer or tuple/list of 2 integers,
specifying the strides of the convolution
along the height and width.
Can be a single integer to specify the same value for
all spatial dimensions.
Specifying any stride value != 1 is incompatible with specifying
any `dilation_rate` value != 1.
padding: one of `"valid"` or `"same"` (case-insensitive).
Note that `"same"` is slightly inconsistent across backends with
`strides` != 1, as described
[here](https://github.com/keras-team/keras/pull/9473#issuecomment-372166860)
dilation_rate: an integer or tuple/list of 2 integers, specifying
the dilation rate to use for dilated convolution.
Can be a single integer to specify the same value for
all spatial dimensions.
Currently, specifying any `dilation_rate` value != 1 is
incompatible with specifying any stride value != 1.
activation: Activation function to use
(see [activations](../activations.md)).
If you don't specify anything, no activation is applied
(i.e. "linear" activation: `a(x) = x`).
components: Numpy array,
specifying predefined components.
# Input shape
List of two 4-dimensional tensors with shapes:
`[(batch, rows, cols, channels),
(number of components, rows, cols, channels)]`, where the first input
is the input data feature tensor and the second input is the
component feature tensor (the kernel)
or a 4-dimensional tensor with shape:
`(batch, rows, cols, channels)`
if `components` is not 'None'.
# Output shape
4-dimensional tensor with shape:
`(batch, new_rows, new_cols, number of components)`
if `n_replicas` == 1 or a 5-dimensional tensor with shape:
`(batch, new_rows, new_cols,
number of components // n_replicas, n_replicas)` otherwise.
`rows` and `cols` values might have changed due to padding.
"""
def __init__(self,
n_replicas=1,
strides=(1, 1),
padding='valid',
dilation_rate=(1, 1),
activation='relu',
components=None,
**kwargs):
super(CosineSimilarity2D, self).__init__(**kwargs)
self.n_replicas = n_replicas
self.rank = 2
self.strides = conv_utils.normalize_tuple(strides,
self.rank,
'strides')
self.padding = conv_utils.normalize_padding(padding)
self.dilation_rate = conv_utils.normalize_tuple(dilation_rate,
self.rank,
'dilation_rate')
self.components = components
self.activation = activations.get(activation)
if K.image_data_format() != 'channels_last':
raise ValueError("The layer requires `K.image_data_format()` to "
"be 'channels_last'.")
def build(self, input_shape):
# Only one tensor input given (no components input tensor)
if not (isinstance(input_shape, list) and len(input_shape) > 1):
# Component initializer should be given
if self.components is None:
raise ValueError("Input shape is 1, this requires components "
"to be predefined by the `components` "
"argument.")
kernel_shape = self.components.shape
else:
_, kernel_shape = input_shape
if kernel_shape[0] % self.n_replicas != 0:
raise ValueError("The number of components must be a "
"multiple of 'n_replicas'.")
self.built = True
def call(self, inputs, **kwargs):
def sqrt(x):
return K.sqrt(K.maximum(x, K.epsilon()))
# Both components and input given
if isinstance(inputs, list) and len(inputs) > 1:
signals, kernel = inputs
else:
signals = inputs
kernel = self.components.astype(K.floatx())
# move component_number to channel dimension
kernel = K.permute_dimensions(kernel, (1, 2, 3, 0))
# normalize kernel
normed_kernel = kernel / sqrt(K.sum(K.square(kernel),
(0, 1, 2),
keepdims=True))
# get norm of signals
signals_norm = sqrt(K.conv2d(K.square(signals),
np.ones(K.int_shape(kernel)[:3] + (1,),
dtype=K.floatx()),
strides=self.strides,
padding=self.padding,
data_format='channels_last',
dilation_rate=self.dilation_rate))
diss = K.conv2d(signals,
normed_kernel,
strides=self.strides,
padding=self.padding,
data_format='channels_last',
dilation_rate=self.dilation_rate) / signals_norm
if self.n_replicas != 1:
shape = K.int_shape(diss)
diss = K.reshape(diss, (-1, shape[1], shape[2],
shape[3] // self.n_replicas,
self.n_replicas))
return self.activation(diss)
def compute_output_shape(self, input_shape):
# Both components and input given
if isinstance(input_shape, list) and len(input_shape) > 1:
input_shape, kernel_shape = input_shape
else:
input_shape = input_shape
kernel_shape = self.components.shape
filters = kernel_shape[0] // self.n_replicas
kernel_shape = kernel_shape[1:3]
space = input_shape[1:-1]
new_space = []
for i in range(len(space)):
new_dim = conv_utils.conv_output_length(
space[i],
kernel_shape[i],
padding=self.padding,
stride=self.strides[i],
dilation=self.dilation_rate[i])
new_space.append(new_dim)
if self.n_replicas != 1:
return (input_shape[0],) + tuple(new_space) + \
(filters, self.n_replicas)
else:
return (input_shape[0],) + tuple(new_space) + (filters,)
class EuclideanDistance2D(Layer):
"""2-dimensional sliding operation with the Euclidean distance.
This layer computes the Euclidean distance in a 2-dimensional sliding
operation on a given input. Thereby, it accepts a predefined definition
of components given by the argument `components` or a second input
tensor of components.
The layer can handle multiple versions of one component via `n_replicas`.
It computes the squared version of the Euclidean distance. If the
non-squared version is requested, then use the activation function to
apply the sqrt.
The layer requires `K.image_data_format()` to be 'channels_last'.
Use the `activation` argument to apply a proper activation to
convert the distance in a detection probability function.
The documentation of the arguments `strides`, `padding`, `dilation_rate`
and `activation` is copied from the Keras documentation of the `Conv2D`
layer.
# Arguments
n_replicas: An integer specifying the number of replicas for each
component. This parameter can be used to learn for one component
multiple versions to handle variations. This could be more
efficient in terms of parameters than learning multiple
reasoning concepts. The output number of components is the input
number of components divided by `n_replicas`. A respective
handling of the replicas must performed manually afterwards.
strides: An integer or tuple/list of 2 integers,
specifying the strides of the convolution
along the height and width.
Can be a single integer to specify the same value for
all spatial dimensions.
Specifying any stride value != 1 is incompatible with specifying
any `dilation_rate` value != 1.
padding: one of `"valid"` or `"same"` (case-insensitive).
Note that `"same"` is slightly inconsistent across backends with
`strides` != 1, as described
[here](https://github.com/keras-team/keras/pull/9473#issuecomment-372166860)
dilation_rate: an integer or tuple/list of 2 integers, specifying
the dilation rate to use for dilated convolution.
Can be a single integer to specify the same value for
all spatial dimensions.
Currently, specifying any `dilation_rate` value != 1 is
incompatible with specifying any stride value != 1.
activation: Activation function to use
(see [activations](../activations.md)).
If you don't specify anything, no activation is applied
(i.e. "linear" activation: `a(x) = x`).
components: Numpy array,
specifying predefined components.
# Input shape
List of two 4-dimensional tensors with shapes:
`[(batch, rows, cols, channels),
(number of components, rows, cols, channels)]`, where the first input
is the input data feature tensor and the second input is the
component feature tensor (the kernel)
or a 4-dimensional tensor with shape:
`(batch, rows, cols, channels)`
if `components` is not 'None'.
# Output shape
4-dimensional tensor with shape:
`(batch, new_rows, new_cols, number of components)`
if `n_replicas` == 1 or a 5-dimensional tensor with shape:
`(batch, new_rows, new_cols,
number of components // n_replicas, n_replicas)` otherwise.
`rows` and `cols` values might have changed due to padding.
"""
def __init__(self,
n_replicas=1,
strides=(1, 1),
padding='valid',
dilation_rate=(1, 1),
activation=lambda x: K.exp(-x),
components=None,
**kwargs):
super(EuclideanDistance2D, self).__init__(**kwargs)
self.n_replicas = n_replicas
self.rank = 2
self.strides = conv_utils.normalize_tuple(strides,
self.rank,
'strides')
self.padding = conv_utils.normalize_padding(padding)
self.dilation_rate = conv_utils.normalize_tuple(dilation_rate,
self.rank,
'dilation_rate')
self.components = components
self.activation = activations.get(activation)
if K.image_data_format() != 'channels_last':
raise ValueError("The layer requires `K.image_data_format()` to "
"be 'channels_last'.")
def build(self, input_shape):
# Only one tensor input given (no components input tensor)
if not (isinstance(input_shape, list) and len(input_shape) > 1):
# Component initializer should be given
if self.components is None:
raise ValueError("Input shape is 1, this requires components "
"to be predefined by the `components` "
"argument.")
kernel_shape = self.components.shape
else:
_, kernel_shape = input_shape
if kernel_shape[0] % self.n_replicas != 0:
raise ValueError("The number of components must be a "
"multiple of 'n_replicas'.")
self.built = True
def call(self, inputs, **kwargs):
# Both components and input given
if isinstance(inputs, list) and len(inputs) > 1:
signals, kernel = inputs
else:
signals = inputs
kernel = self.components.astype(K.floatx())
# move component_number to channel dimension
kernel = K.permute_dimensions(kernel, (1, 2, 3, 0))
# normalize kernel
kernel_norm = K.sum(K.square(kernel), (0, 1, 2), keepdims=True)
# get norm of signals
signals_norm = K.conv2d(K.square(signals),
K.ones_like(kernel),
strides=self.strides,
padding=self.padding,
data_format='channels_last',
dilation_rate=self.dilation_rate)
diss = kernel_norm \
- 2 * K.conv2d(signals,
kernel,
strides=self.strides,
padding=self.padding,
data_format='channels_last',
dilation_rate=self.dilation_rate) \
+ signals_norm
if self.n_replicas != 1:
shape = K.int_shape(diss)
diss = K.reshape(diss, (-1, shape[1], shape[2],
shape[3] // self.n_replicas,
self.n_replicas))
return self.activation(diss)
def compute_output_shape(self, input_shape):
# Both components and input given
if isinstance(input_shape, list) and len(input_shape) > 1:
input_shape, kernel_shape = input_shape
else:
input_shape = input_shape
kernel_shape = self.components.shape
filters = kernel_shape[0] // self.n_replicas
kernel_shape = kernel_shape[1:3]
space = input_shape[1:-1]
new_space = []
for i in range(len(space)):
new_dim = conv_utils.conv_output_length(
space[i],
kernel_shape[i],
padding=self.padding,
stride=self.strides[i],
dilation=self.dilation_rate[i])
new_space.append(new_dim)
if self.n_replicas != 1:
return (input_shape[0],) + tuple(new_space) + \
(filters, self.n_replicas)
else:
return (input_shape[0],) + tuple(new_space) + (filters,)
| 43.197368 | 88 | 0.575815 | 1,857 | 16,415 | 4.969844 | 0.135164 | 0.033156 | 0.025355 | 0.010402 | 0.911258 | 0.906707 | 0.906707 | 0.898039 | 0.898039 | 0.898039 | 0 | 0.012345 | 0.348584 | 16,415 | 379 | 89 | 43.311346 | 0.850743 | 0.428998 | 0 | 0.812834 | 0 | 0 | 0.063234 | 0.005194 | 0 | 0 | 0 | 0 | 0 | 1 | 0.048128 | false | 0 | 0.042781 | 0.005348 | 0.139037 | 0.005348 | 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 |
ac5d534335f0e0a8db9fe0921edac405472de433 | 23,391 | py | Python | Scripts/plot_ValidationScores-LoopHyperparameters.py | zmlabe/predictGMSTrate | 2bde4a106de1988d772f15a52d283d23bb7128f4 | [
"MIT"
] | 2 | 2022-01-20T20:20:04.000Z | 2022-02-21T12:33:37.000Z | Scripts/plot_ValidationScores-LoopHyperparameters.py | zmlabe/predictGMSTrate | 2bde4a106de1988d772f15a52d283d23bb7128f4 | [
"MIT"
] | null | null | null | Scripts/plot_ValidationScores-LoopHyperparameters.py | zmlabe/predictGMSTrate | 2bde4a106de1988d772f15a52d283d23bb7128f4 | [
"MIT"
] | 3 | 2022-01-19T16:25:37.000Z | 2022-03-22T13:25:00.000Z | """
Create plots to show validation scores for different hyperparameters
Author : Zachary M. Labe
Date : 28 September 2021
Version : 2 (mostly for testing)
"""
### Import packages
import sys
import matplotlib.pyplot as plt
import matplotlib.colors as c
import numpy as np
### Plotting defaults
plt.rc('text',usetex=True)
plt.rc('font',**{'family':'sans-serif','sans-serif':['Avant Garde']})
def adjust_spines(ax, spines):
for loc, spine in ax.spines.items():
if loc in spines:
spine.set_position(('outward', 5))
else:
spine.set_color('none')
if 'left' in spines:
ax.yaxis.set_ticks_position('left')
else:
ax.yaxis.set_ticks([])
if 'bottom' in spines:
ax.xaxis.set_ticks_position('bottom')
else:
ax.xaxis.set_ticks([])
### Hyperparamters for files of the ANN model
rm_ensemble_mean = True
COUNTER = 5
hiddenall = [[10],[30],[10,10],[30,30],[10,10,10],[30,30,30]]
ridgePenaltyall = [0.01,0.1,0.5,1]
letters = ["a","b","c","d","e","f","g","h","i","j","k","l","m"]
combinations = COUNTER * len(hiddenall) * len(ridgePenaltyall)
directorydata = '/Users/zlabe/Documents/Research/GmstTrendPrediction/Data/LoopHyperparameters/'
directoryfigure = '/Users/zlabe/Desktop/GmstTrendPrediction/ANN_v2/Scores/'
### Read in hyperparameters
seeds = np.load(directorydata + 'Metadata_LoopResultsfor_ANNv2_OHC100_hiatus_EnsembleMeanRemoved_LoopHyper.npz')
random_segment_seedq = seeds['random_segment_seedall']
random_network_seedq = seeds['random_network_seedall']
savenameq = seeds['savenamesall']
accval = np.empty((combinations))
precval = np.empty((combinations))
recallval = np.empty((combinations))
f1val = np.empty((combinations))
for lo in range(combinations):
if rm_ensemble_mean == True:
vari_predict = ['OHC100']
fac = 0.7
random_segment_seed = random_segment_seedq[lo]
random_network_seed = random_network_seedq[lo]
hidden = [30,30]
n_epochs = 500
batch_size = 128
lr_here = 0.001
ridgePenalty = 0.5
actFun = 'relu'
fractWeight = np.arange(0.1,1.2,0.1)
yearsall = np.arange(1990,2099+1,1)
else:
print(ValueError('SOMETHING IS WRONG WITH DATA PROCESSING!'))
sys.exit()
### Naming conventions for files
savename = savenameq[lo]
scores = np.load(directorydata + savename + '_SCORES_LoopHyper.npz')
accval[lo] = scores['accval']
precval[lo] = scores['precval']
recallval[lo] = scores['recallval']
f1val[lo] = scores['f1_val']
### Reshape arrays for plotting
acc_re = accval.reshape(len(hiddenall),len(ridgePenaltyall),COUNTER) * 100.
pre_re = precval.reshape(len(hiddenall),len(ridgePenaltyall),COUNTER) * 100.
rec_re = recallval.reshape(len(hiddenall),len(ridgePenaltyall),COUNTER) * 100.
f1s_re = f1val.reshape(len(hiddenall),len(ridgePenaltyall),COUNTER) * 100.
# ### First set of plots for layer and all l2
# acc_layer = acc_re.reshape(len(hiddenall),len(ridgePenaltyall)*COUNTER)
# pre_layer = pre_re.reshape(len(hiddenall),len(ridgePenaltyall)*COUNTER)
# rec_layer = rec_re.reshape(len(hiddenall),len(ridgePenaltyall)*COUNTER)
# f1s_layer = f1s_re.reshape(len(hiddenall),len(ridgePenaltyall)*COUNTER)
###############################################################################
###############################################################################
###############################################################################
### Graph for accuracy
labels = [r'\textbf{1-LAYER$_{10}$}',r'\textbf{1-LAYER$_{30}$}',r'\textbf{2-LAYERS$_{10}$}',
r'\textbf{2-LAYERS$_{30}$}',r'\textbf{3-LAYERS$_{10}$}',r'\textbf{3-LAYERS$_{30}$}']
fig = plt.figure()
for plo in range(len(hiddenall)):
ax = plt.subplot(2,3,plo+1)
plotdata = acc_re[plo].transpose()
adjust_spines(ax, ['left', 'bottom'])
ax.spines['top'].set_color('none')
ax.spines['right'].set_color('none')
ax.spines['left'].set_color('dimgrey')
ax.spines['bottom'].set_color('none')
ax.spines['left'].set_linewidth(2)
ax.tick_params('both',length=4,width=2,which='major',color='dimgrey')
ax.tick_params(axis="x",which="both",bottom = False,top=False,
labelbottom=False)
ax.yaxis.grid(zorder=1,color='darkgrey',alpha=0.7,clip_on=False,linewidth=0.5)
def set_box_color(bp, color):
plt.setp(bp['boxes'],color=color)
plt.setp(bp['whiskers'], color=color,linewidth=1.5)
plt.setp(bp['caps'], color='w',alpha=0)
plt.setp(bp['medians'], color='w',linewidth=1)
positionsq = np.arange(len(ridgePenaltyall))
bpl = plt.boxplot(plotdata,positions=positionsq,widths=0.6,
patch_artist=True,sym='')
# Modify boxes
cp= 'maroon'
set_box_color(bpl,cp)
plt.plot([], c=cp, label=r'\textbf{ACCURACY}',clip_on=False)
for i in range(plotdata.shape[1]):
y = plotdata[:,i]
x = np.random.normal(positionsq[i], 0.04, size=len(y))
plt.plot(x, y,color='teal', alpha=0.5,zorder=10,marker='.',linewidth=0,markersize=5,markeredgewidth=0,clip_on=False)
if any([plo==0,plo==3]):
plt.yticks(np.arange(0,101,10),list(map(str,np.round(np.arange(0,101,10),2))),
fontsize=6)
plt.ylim([80,100])
else:
plt.yticks(np.arange(0,101,10),list(map(str,np.round(np.arange(0,101,10),2))),
fontsize=6)
plt.ylim([80,100])
ax.axes.yaxis.set_ticklabels([])
if plo==3:
plt.text(-0.35,78,r'\textbf{L$_{2}$=%s}' % ridgePenaltyall[0],fontsize=5,color='dimgrey',
ha='left',va='center')
plt.text(1.05,78,r'\textbf{L$_{2}$=%s}' % ridgePenaltyall[1],fontsize=5,color='dimgrey',
ha='center',va='center')
plt.text(2.4,78,r'\textbf{L$_{2}$=%s}' % ridgePenaltyall[2],fontsize=5,color='k',
ha='right',va='center')
plt.text(3.27,78,r'\textbf{L$_{2}$=%s}' % ridgePenaltyall[3],fontsize=5,color='dimgrey',
ha='right',va='center')
elif any([plo==4,plo==5]):
plt.text(-0.35,78,r'\textbf{L$_{2}$=%s}' % ridgePenaltyall[0],fontsize=5,color='dimgrey',
ha='left',va='center')
plt.text(1.05,78,r'\textbf{L$_{2}$=%s}' % ridgePenaltyall[1],fontsize=5,color='dimgrey',
ha='center',va='center')
plt.text(2.4,78,r'\textbf{L$_{2}$=%s}' % ridgePenaltyall[2],fontsize=5,color='dimgrey',
ha='right',va='center')
plt.text(3.27,78,r'\textbf{L$_{2}$=%s}' % ridgePenaltyall[3],fontsize=5,color='dimgrey',
ha='right',va='center')
plt.text(1.65,98.5,r'%s' % labels[plo],fontsize=11,color='dimgrey',
ha='center',va='center')
plt.text(3.3,100.7,r'\textbf{[%s]}' % letters[plo],color='k',fontsize=6)
if any([plo==0,plo==3]):
plt.ylabel(r'\textbf{Accuracy [\%]}',color='k',fontsize=7)
if rm_ensemble_mean == True:
plt.savefig(directoryfigure + 'AccracyScores-LoopHyperparameters_Hiatus_EDA-v2_rmENSEMBLEmean.png',dpi=300)
else:
plt.savefig(directoryfigure + 'AccuracyScores-LoopHyperparameters_Hiatus_EDA-v2.png',dpi=300)
###############################################################################
###############################################################################
###############################################################################
### Graph for precision
fig = plt.figure()
for plo in range(len(hiddenall)):
ax = plt.subplot(2,3,plo+1)
plotdata = pre_re[plo].transpose()
adjust_spines(ax, ['left', 'bottom'])
ax.spines['top'].set_color('none')
ax.spines['right'].set_color('none')
ax.spines['left'].set_color('dimgrey')
ax.spines['bottom'].set_color('none')
ax.spines['left'].set_linewidth(2)
ax.tick_params('both',length=4,width=2,which='major',color='dimgrey')
ax.tick_params(axis="x",which="both",bottom = False,top=False,
labelbottom=False)
ax.yaxis.grid(zorder=1,color='darkgrey',alpha=0.7,clip_on=False,linewidth=0.5)
def set_box_color(bp, color):
plt.setp(bp['boxes'],color=color)
plt.setp(bp['whiskers'], color=color,linewidth=1.5)
plt.setp(bp['caps'], color='w',alpha=0)
plt.setp(bp['medians'], color='w',linewidth=1)
positionsq = np.arange(len(ridgePenaltyall))
bpl = plt.boxplot(plotdata,positions=positionsq,widths=0.6,
patch_artist=True,sym='')
# Modify boxes
cp= 'maroon'
set_box_color(bpl,cp)
plt.plot([], c=cp, label=r'\textbf{PRECISION}',clip_on=False)
for i in range(plotdata.shape[1]):
y = plotdata[:,i]
x = np.random.normal(positionsq[i], 0.04, size=len(y))
plt.plot(x, y,color='teal', alpha=0.5,zorder=10,marker='.',linewidth=0,markersize=5,markeredgewidth=0,clip_on=False)
if any([plo==0,plo==3]):
plt.yticks(np.arange(0,101,10),list(map(str,np.round(np.arange(0,101,10),2))),
fontsize=6)
plt.ylim([0,60])
else:
plt.yticks(np.arange(0,101,10),list(map(str,np.round(np.arange(0,101,10),2))),
fontsize=6)
plt.ylim([0,60])
ax.axes.yaxis.set_ticklabels([])
if plo==3:
plt.text(-0.35,-6,r'\textbf{L$_{2}$=%s}' % ridgePenaltyall[0],fontsize=5,color='dimgrey',
ha='left',va='center')
plt.text(1.05,-6,r'\textbf{L$_{2}$=%s}' % ridgePenaltyall[1],fontsize=5,color='dimgrey',
ha='center',va='center')
plt.text(2.4,-6,r'\textbf{L$_{2}$=%s}' % ridgePenaltyall[2],fontsize=5,color='k',
ha='right',va='center')
plt.text(3.27,-6,r'\textbf{L$_{2}$=%s}' % ridgePenaltyall[3],fontsize=5,color='dimgrey',
ha='right',va='center')
elif any([plo==4,plo==5]):
plt.text(-0.35,-6,r'\textbf{L$_{2}$=%s}' % ridgePenaltyall[0],fontsize=5,color='dimgrey',
ha='left',va='center')
plt.text(1.05,-6,r'\textbf{L$_{2}$=%s}' % ridgePenaltyall[1],fontsize=5,color='dimgrey',
ha='center',va='center')
plt.text(2.4,-6,r'\textbf{L$_{2}$=%s}' % ridgePenaltyall[2],fontsize=5,color='dimgrey',
ha='right',va='center')
plt.text(3.27,-6,r'\textbf{L$_{2}$=%s}' % ridgePenaltyall[3],fontsize=5,color='dimgrey',
ha='right',va='center')
plt.text(1.65,55.3,r'%s' % labels[plo],fontsize=11,color='dimgrey',
ha='center',va='center')
plt.text(3.3,62,r'\textbf{[%s]}' % letters[plo],color='k',fontsize=6)
if any([plo==0,plo==3]):
plt.ylabel(r'\textbf{Precision [\%]}',color='k',fontsize=7)
if rm_ensemble_mean == True:
plt.savefig(directoryfigure + 'PrecisionScores-LoopHyperparameters_Hiatus_EDA-v2_rmENSEMBLEmean.png',dpi=300)
else:
plt.savefig(directoryfigure + 'PrecisionScores-LoopHyperparameters_Hiatus_EDA-v2.png',dpi=300)
###############################################################################
###############################################################################
###############################################################################
### Graph for recall
fig = plt.figure()
for plo in range(len(hiddenall)):
ax = plt.subplot(2,3,plo+1)
plotdata = rec_re[plo].transpose()
adjust_spines(ax, ['left', 'bottom'])
ax.spines['top'].set_color('none')
ax.spines['right'].set_color('none')
ax.spines['left'].set_color('dimgrey')
ax.spines['bottom'].set_color('none')
ax.spines['left'].set_linewidth(2)
ax.tick_params('both',length=4,width=2,which='major',color='dimgrey')
ax.tick_params(axis="x",which="both",bottom = False,top=False,
labelbottom=False)
ax.yaxis.grid(zorder=1,color='darkgrey',alpha=0.7,clip_on=False,linewidth=0.5)
def set_box_color(bp, color):
plt.setp(bp['boxes'],color=color)
plt.setp(bp['whiskers'], color=color,linewidth=1.5)
plt.setp(bp['caps'], color='w',alpha=0)
plt.setp(bp['medians'], color='w',linewidth=1)
positionsq = np.arange(len(ridgePenaltyall))
bpl = plt.boxplot(plotdata,positions=positionsq,widths=0.6,
patch_artist=True,sym='')
# Modify boxes
cp= 'maroon'
set_box_color(bpl,cp)
plt.plot([], c=cp, label=r'\textbf{RECALL}',clip_on=False)
for i in range(plotdata.shape[1]):
y = plotdata[:,i]
x = np.random.normal(positionsq[i], 0.04, size=len(y))
plt.plot(x, y,color='teal', alpha=0.5,zorder=10,marker='.',linewidth=0,markersize=5,markeredgewidth=0,clip_on=False)
if any([plo==0,plo==3]):
plt.yticks(np.arange(0,101,10),list(map(str,np.round(np.arange(0,101,10),2))),
fontsize=6)
plt.ylim([0,60])
else:
plt.yticks(np.arange(0,101,10),list(map(str,np.round(np.arange(0,101,10),2))),
fontsize=6)
plt.ylim([0,60])
ax.axes.yaxis.set_ticklabels([])
if plo==3:
plt.text(-0.35,-6,r'\textbf{L$_{2}$=%s}' % ridgePenaltyall[0],fontsize=5,color='dimgrey',
ha='left',va='center')
plt.text(1.05,-6,r'\textbf{L$_{2}$=%s}' % ridgePenaltyall[1],fontsize=5,color='dimgrey',
ha='center',va='center')
plt.text(2.4,-6,r'\textbf{L$_{2}$=%s}' % ridgePenaltyall[2],fontsize=5,color='k',
ha='right',va='center')
plt.text(3.27,-6,r'\textbf{L$_{2}$=%s}' % ridgePenaltyall[3],fontsize=5,color='dimgrey',
ha='right',va='center')
elif any([plo==4,plo==5]):
plt.text(-0.35,-6,r'\textbf{L$_{2}$=%s}' % ridgePenaltyall[0],fontsize=5,color='dimgrey',
ha='left',va='center')
plt.text(1.05,-6,r'\textbf{L$_{2}$=%s}' % ridgePenaltyall[1],fontsize=5,color='dimgrey',
ha='center',va='center')
plt.text(2.4,-6,r'\textbf{L$_{2}$=%s}' % ridgePenaltyall[2],fontsize=5,color='dimgrey',
ha='right',va='center')
plt.text(3.27,-6,r'\textbf{L$_{2}$=%s}' % ridgePenaltyall[3],fontsize=5,color='dimgrey',
ha='right',va='center')
plt.text(1.65,55.3,r'%s' % labels[plo],fontsize=11,color='dimgrey',
ha='center',va='center')
plt.text(3.3,62,r'\textbf{[%s]}' % letters[plo],color='k',fontsize=6)
if any([plo==0,plo==3]):
plt.ylabel(r'\textbf{Recall [\%]}',color='k',fontsize=7)
if rm_ensemble_mean == True:
plt.savefig(directoryfigure + 'RecallScores-LoopHyperparameters_Hiatus_EDA-v2_rmENSEMBLEmean.png',dpi=300)
else:
plt.savefig(directoryfigure + 'RecallScores-LoopHyperparameters_Hiatus_EDA-v2.png',dpi=300)
###############################################################################
###############################################################################
###############################################################################
### Graph for f1-score
fig = plt.figure()
for plo in range(len(hiddenall)):
ax = plt.subplot(2,3,plo+1)
plotdata = f1s_re[plo].transpose()
adjust_spines(ax, ['left', 'bottom'])
ax.spines['top'].set_color('none')
ax.spines['right'].set_color('none')
ax.spines['left'].set_color('dimgrey')
ax.spines['bottom'].set_color('none')
ax.spines['left'].set_linewidth(2)
ax.tick_params('both',length=4,width=2,which='major',color='dimgrey')
ax.tick_params(axis="x",which="both",bottom = False,top=False,
labelbottom=False)
ax.yaxis.grid(zorder=1,color='darkgrey',alpha=0.7,clip_on=False,linewidth=0.5)
def set_box_color(bp, color):
plt.setp(bp['boxes'],color=color)
plt.setp(bp['whiskers'], color=color,linewidth=1.5)
plt.setp(bp['caps'], color='w',alpha=0)
plt.setp(bp['medians'], color='w',linewidth=1)
positionsq = np.arange(len(ridgePenaltyall))
bpl = plt.boxplot(plotdata,positions=positionsq,widths=0.6,
patch_artist=True,sym='')
# Modify boxes
cp= 'maroon'
set_box_color(bpl,cp)
plt.plot([], c=cp, label=r'\textbf{F1-SCORE}',clip_on=False)
for i in range(plotdata.shape[1]):
y = plotdata[:,i]
x = np.random.normal(positionsq[i], 0.04, size=len(y))
plt.plot(x, y,color='teal', alpha=0.5,zorder=10,marker='.',linewidth=0,markersize=5,markeredgewidth=0,clip_on=False)
if any([plo==0,plo==3]):
plt.yticks(np.arange(0,101,10),list(map(str,np.round(np.arange(0,101,10),2))),
fontsize=6)
plt.ylim([0,60])
else:
plt.yticks(np.arange(0,101,10),list(map(str,np.round(np.arange(0,101,10),2))),
fontsize=6)
plt.ylim([0,60])
ax.axes.yaxis.set_ticklabels([])
if plo==3:
plt.text(-0.35,-6,r'\textbf{L$_{2}$=%s}' % ridgePenaltyall[0],fontsize=5,color='dimgrey',
ha='left',va='center')
plt.text(1.05,-6,r'\textbf{L$_{2}$=%s}' % ridgePenaltyall[1],fontsize=5,color='dimgrey',
ha='center',va='center')
plt.text(2.4,-6,r'\textbf{L$_{2}$=%s}' % ridgePenaltyall[2],fontsize=5,color='k',
ha='right',va='center')
plt.text(3.27,-6,r'\textbf{L$_{2}$=%s}' % ridgePenaltyall[3],fontsize=5,color='dimgrey',
ha='right',va='center')
elif any([plo==4,plo==5]):
plt.text(-0.35,-6,r'\textbf{L$_{2}$=%s}' % ridgePenaltyall[0],fontsize=5,color='dimgrey',
ha='left',va='center')
plt.text(1.05,-6,r'\textbf{L$_{2}$=%s}' % ridgePenaltyall[1],fontsize=5,color='dimgrey',
ha='center',va='center')
plt.text(2.4,-6,r'\textbf{L$_{2}$=%s}' % ridgePenaltyall[2],fontsize=5,color='dimgrey',
ha='right',va='center')
plt.text(3.27,-6,r'\textbf{L$_{2}$=%s}' % ridgePenaltyall[3],fontsize=5,color='dimgrey',
ha='right',va='center')
plt.text(1.65,55.3,r'%s' % labels[plo],fontsize=11,color='dimgrey',
ha='center',va='center')
plt.text(3.3,62,r'\textbf{[%s]}' % letters[plo],color='k',fontsize=6)
if any([plo==0,plo==3]):
plt.ylabel(r'\textbf{F1-Score [\%]}',color='k',fontsize=7)
if rm_ensemble_mean == True:
plt.savefig(directoryfigure + 'F1Scores-LoopHyperparameters_Hiatus_EDA-v2_rmENSEMBLEmean.png',dpi=300)
else:
plt.savefig(directoryfigure + 'F1Scores-LoopHyperparameters_Hiatus_EDA-v2.png',dpi=300)
###############################################################################
###############################################################################
###############################################################################
### Graph for combining recall and precision
fig = plt.figure()
for plo in range(len(hiddenall)):
ax = plt.subplot(2,3,plo+1)
plotdata1 = pre_re[plo].transpose()
plotdata2 = rec_re[plo].transpose()
adjust_spines(ax, ['left', 'bottom'])
ax.spines['top'].set_color('none')
ax.spines['right'].set_color('none')
ax.spines['left'].set_color('dimgrey')
ax.spines['bottom'].set_color('none')
ax.spines['left'].set_linewidth(2)
ax.tick_params('both',length=4,width=2,which='major',color='dimgrey')
ax.tick_params(axis="x",which="both",bottom = False,top=False,
labelbottom=False)
ax.yaxis.grid(zorder=1,color='darkgrey',alpha=0.7,clip_on=False,linewidth=0.5)
def set_box_color(bp, color):
plt.setp(bp['boxes'],color=color)
plt.setp(bp['whiskers'], color=color,linewidth=1.5)
plt.setp(bp['caps'], color='w',alpha=0)
plt.setp(bp['medians'], color='w',linewidth=1)
positionspre = np.array(range(len(ridgePenaltyall)))*2.0-0.3
positionspost = np.array(range(len(ridgePenaltyall)))*2.0+0.3
bpl = plt.boxplot(plotdata1,positions=positionspre,widths=0.5,
patch_artist=True,sym='')
bpr = plt.boxplot(plotdata2,positions=positionspost, widths=0.5,
patch_artist=True,sym='')
# Modify boxes
cpree = 'deepskyblue'
cpost = 'indianred'
set_box_color(bpl,cpree)
set_box_color(bpr,cpost)
plt.plot([], c=cpree, label=r'\textbf{PRECISION}')
plt.plot([], c=cpost, label=r'\textbf{RECALL}')
if plo == 2:
l = plt.legend(shadow=False,fontsize=11,loc='upper center',
bbox_to_anchor=(-0.77,1.34),fancybox=True,ncol=4,frameon=False,
handlelength=5,handletextpad=1)
for line,text in zip(l.get_lines(), l.get_texts()):
text.set_color(line.get_color())
for i in range(len(ridgePenaltyall)):
y = plotdata1[:,i]
x = np.random.normal(positionspre[i], 0.04, size=len(y))
plt.plot(x, y,color='darkblue', alpha=0.5,zorder=10,marker='.',linewidth=0,markersize=5,markeredgewidth=0)
for i in range(len(ridgePenaltyall)):
y = plotdata2[:,i]
x = np.random.normal(positionspost[i], 0.04, size=len(y))
plt.plot(x, y,color='darkred', alpha=0.5,zorder=10,marker='.',linewidth=0,markersize=5,markeredgewidth=0)
if any([plo==0,plo==3]):
plt.yticks(np.arange(0,101,10),list(map(str,np.round(np.arange(0,101,10),2))),
fontsize=6)
plt.ylim([0,60])
else:
plt.yticks(np.arange(0,101,10),list(map(str,np.round(np.arange(0,101,10),2))),
fontsize=6)
plt.ylim([0,60])
ax.axes.yaxis.set_ticklabels([])
if plo==3:
plt.text(-0.7,-6,r'\textbf{L$_{2}$=%s}' % ridgePenaltyall[0],fontsize=5,color='dimgrey',
ha='left',va='center')
plt.text(2.1,-6,r'\textbf{L$_{2}$=%s}' % ridgePenaltyall[1],fontsize=5,color='dimgrey',
ha='center',va='center')
plt.text(4.7,-6,r'\textbf{L$_{2}$=%s}' % ridgePenaltyall[2],fontsize=5,color='k',
ha='right',va='center')
plt.text(6.5,-6,r'\textbf{L$_{2}$=%s}' % ridgePenaltyall[3],fontsize=5,color='dimgrey',
ha='right',va='center')
elif any([plo==4,plo==5]):
plt.text(-0.7,-6,r'\textbf{L$_{2}$=%s}' % ridgePenaltyall[0],fontsize=5,color='dimgrey',
ha='left',va='center')
plt.text(2.1,-6,r'\textbf{L$_{2}$=%s}' % ridgePenaltyall[1],fontsize=5,color='dimgrey',
ha='center',va='center')
plt.text(4.7,-6,r'\textbf{L$_{2}$=%s}' % ridgePenaltyall[2],fontsize=5,color='dimgrey',
ha='right',va='center')
plt.text(6.5,-6,r'\textbf{L$_{2}$=%s}' % ridgePenaltyall[3],fontsize=5,color='dimgrey',
ha='right',va='center')
plt.text(3.35,55.3,r'%s' % labels[plo],fontsize=11,color='dimgrey',
ha='center',va='center')
plt.text(6.4,62,r'\textbf{[%s]}' % letters[plo],color='k',fontsize=6)
if any([plo==0,plo==3]):
plt.ylabel(r'\textbf{Scores [\%]}',color='k',fontsize=7)
if rm_ensemble_mean == True:
plt.savefig(directoryfigure + 'CombinedScores-LoopHyperparameters_Hiatus_EDA-v2_rmENSEMBLEmean.png',dpi=300)
else:
plt.savefig(directoryfigure + 'CombinedScores-LoopHyperparameters_Hiatus_EDA-v2.png',dpi=300) | 44.050847 | 124 | 0.567141 | 3,205 | 23,391 | 4.066147 | 0.099532 | 0.033303 | 0.024555 | 0.027624 | 0.801719 | 0.797652 | 0.796808 | 0.758978 | 0.749156 | 0.729512 | 0 | 0.047413 | 0.191185 | 23,391 | 531 | 125 | 44.050847 | 0.641419 | 0.035655 | 0 | 0.717445 | 0 | 0 | 0.170497 | 0.046717 | 0 | 0 | 0 | 0 | 0 | 1 | 0.014742 | false | 0 | 0.009828 | 0 | 0.02457 | 0.002457 | 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 |
ac77020c6724abf8a3f25521ee22539e33ee6b6b | 14,365 | py | Python | zeping_jobs.py | cinjon/ml-capsules-inverted-attention-routing | 978b0f58eba1007bcef0b6cb045f3d2040f76a31 | [
"AML"
] | null | null | null | zeping_jobs.py | cinjon/ml-capsules-inverted-attention-routing | 978b0f58eba1007bcef0b6cb045f3d2040f76a31 | [
"AML"
] | null | null | null | zeping_jobs.py | cinjon/ml-capsules-inverted-attention-routing | 978b0f58eba1007bcef0b6cb045f3d2040f76a31 | [
"AML"
] | null | null | null | """Run the jobs in this file.
Example running jobs:
python zeping_jobs.py
When you want to add more jobs just put them below and MAKE SURE that all of the
do_jobs for the ones above are False.
"""
from zeping_run_on_cluster import do_jobarray
email = 'zz2332@nyu.edu'
code_directory = '/misc/kcgscratch1/ChoGroup/resnick/spaceofmotion/zeping/capsules/ml-capsules-inverted-attention-routing'
def run(find_counter=None):
job = {
'results_dir': '/misc/kcgscratch1/ChoGroup/resnick/spaceofmotion/zeping/capsules/results',
'data_root': '/misc/kcgscratch1/ChoGroup/resnick/spaceofmotion/zeping/capsules/data/MNIST',
'affnist_data_root': '/misc/kcgscratch1/ChoGroup/resnick/spaceofmotion/zeping/capsules/data/affNIST'
}
# Padded MNIST (40x40) NCE
if find_counter == 0:
num_gpus = 4
time = 24
job.update({
'name': '2020.05.15',
# 'optimizer': 'adam',
'config': 'resnet_backbone_movingmnist2_20ccgray_img40',
'criterion': 'nceprobs_selective',
'triangle_lambda': 1,
# 'num_routing': 1,
'dataset': 'MovingMNist2',
'batch_size': 32,
'num_gpus': num_gpus,
'time': time,
# 'num_workers': 2,
'epoch': 500,
'schedule_milestones': '10,30',
'use_scheduler': True,
'weight_decay': 0.0005,
'lr': 0.0003,
'schedule_gamma': 0.3,
'no_colored': True,
'num_mnist_digits': 1,
'fix_moving_mnist_center': True,
# 'do_mnist_test_every': 1,
# 'do_mnist_test_after': -1,
'do_tsne_test_every': 1,
'do_tsne_test_after': -1,
'use_presence_probs': True,
'lambda_sparse_presence': 0.3,
'use_cuda_tsne': False,
'presence_loss_type': 'l2norm',
'fix_moving_mnist_angle': False,
'triangle_margin_lambda': 1.0,
'margin_gamma2': 0.1,
'triangle_cos_lambda': 1.0,
'no_use_angle_loss': True,
'no_use_hinge_loss': True,
'num_output_classes': 10,
'lambda_between_entropy': 3.0,
'lambda_within_entropy': 1.0,
'presence_diffcos_lambda': 10.0,
'use_class_sampler': False,
'no_use_nce_loss': True,
'use_nce_probs': True,
'use_simclr_xforms': False,
'use_simclr_nce': True,
'step_length': 0.,
'use_rand_presence_noise': True,
'nce_presence_temperature': 0.1,
'use_diff_class_digit': True,
'nceprobs_selection': 'ncelinear_none',
'image_size': 40, # 28
'no_hit_side': True,
# 'center_discrete': False,
'discrete_angle': True,
'nceprobs_selection_temperature': 1.0,
'simclr_selection_strategy': 'default',
'ncelinear_anchorselect': '21',
# 'center_discrete_count': 3,
'counter': find_counter,
'seed': 0,
'mnist_padding': True,
})
# do_jobarray(email, num_gpus, counter, job, time)
return find_counter, job
# Selective Reorder
elif find_counter == 1:
num_gpus = 1
time = 24
job.update({
'name': '2020.05.15',
'config': 'resnet_backbone_movingmnist2_20ccgray',
'criterion': 'selective_reorder',
'num_gpus': num_gpus,
'time': time,
'do_tsne_test_every': 1,
'do_tsne_test_after': -1,
'nceprobs_selection': 'ncelinear_maxfirst',
'presence_loss_type': 'sigmoid_only',
'batch_size': 8,
'use_diff_class_digit': True,
'lr': 1e-4,
'weight_decay': 5e-4,
'use_presence_probs': True,
'nceprobs_selection': 'ncelinear_maxfirst',
'presence_loss_type': 'sigmoid_only',
'use_nce_probs': True,
'use_simclr_nce': True,
'no_colored': True,
'fix_moving_mnist_center': True,
'num_mnist_digits': 1,
'counter': find_counter,
'use_cuda_tsne': True,
'tsne_batch_size': 32,
})
return find_counter, job
# Fixed Center MNIST NCE
elif find_counter == 2:
num_gpus = 4
time = 48
job.update({
'name': '2020.05.16',
# 'optimizer': 'adam',
'config': 'resnet_backbone_movingmnist2_20ccgray_img40',
'criterion': 'nceprobs_selective',
'triangle_lambda': 1,
# 'num_routing': 1,
'dataset': 'MovingMNist2',
'batch_size': 32,
'num_gpus': num_gpus,
'time': time,
# 'num_workers': 2,
'epoch': 500,
'schedule_milestones': '10,30',
'use_scheduler': True,
'weight_decay': 0.0005,
'lr': 0.0003,
'schedule_gamma': 0.3,
'no_colored': True,
'num_mnist_digits': 1,
'fix_moving_mnist_center': True,
# 'do_mnist_test_every': 1,
# 'do_mnist_test_after': -1,
'do_tsne_test_every': 1,
'do_tsne_test_after': -1,
'use_presence_probs': True,
'lambda_sparse_presence': 0.3,
'use_cuda_tsne': False,
'presence_loss_type': 'l2norm',
'fix_moving_mnist_angle': False,
'triangle_margin_lambda': 1.0,
'margin_gamma2': 0.1,
'triangle_cos_lambda': 1.0,
'no_use_angle_loss': True,
'no_use_hinge_floss': True,
'num_output_classes': 10,
'lambda_between_entropy': 3.0,
'lambda_within_entropy': 1.0,
'presence_diffcos_lambda': 10.0,
'use_class_sampler': False,
'no_use_nce_loss': True,
'use_nce_probs': True,
'use_simclr_xforms': False,
'use_simclr_nce': True,
'step_length': 0.,
'use_rand_presence_noise': True,
'nce_presence_temperature': 0.1,
'use_diff_class_digit': True,
'nceprobs_selection': 'ncelinear_none',
'image_size': 40, # 28
'no_hit_side': True,
# 'center_discrete': False,
'discrete_angle': True,
'nceprobs_selection_temperature': 1.0,
'simclr_selection_strategy': 'default',
'ncelinear_anchorselect': '21',
# 'center_discrete_count': 3,
'counter': find_counter,
'seed': 0,
'mnist_padding': False,
})
return find_counter, job
# Padded MNIST (34x34) NCE with 0.1 presence_temperature
elif find_counter == 3:
num_gpus = 4
time = 24
job.update({
'name': '2020.05.16',
# 'optimizer': 'adam',
'config': 'resnet_backbone_movingmnist2_20ccgray_img34',
'criterion': 'nceprobs_selective',
'triangle_lambda': 1,
# 'num_routing': 1,
'dataset': 'MovingMNist2',
'batch_size': 32,
'num_gpus': num_gpus,
'time': time,
# 'num_workers': 2,
'epoch': 500,
'schedule_milestones': '10,30',
'use_scheduler': True,
'weight_decay': 0.0005,
'lr': 0.0003,
'schedule_gamma': 0.3,
'no_colored': True,
'num_mnist_digits': 1,
'fix_moving_mnist_center': True,
# 'do_mnist_test_every': 1,
# 'do_mnist_test_after': -1,
'do_tsne_test_every': 1,
'do_tsne_test_after': -1,
'use_presence_probs': True,
'lambda_sparse_presence': 0.3,
'use_cuda_tsne': False,
'presence_loss_type': 'l2norm',
'fix_moving_mnist_angle': False,
'triangle_margin_lambda': 1.0,
'margin_gamma2': 0.1,
'triangle_cos_lambda': 1.0,
'no_use_angle_loss': True,
'no_use_hinge_loss': True,
'num_output_classes': 10,
'lambda_between_entropy': 3.0,
'lambda_within_entropy': 1.0,
'presence_diffcos_lambda': 10.0,
'use_class_sampler': False,
'no_use_nce_loss': True,
'use_nce_probs': True,
'use_simclr_xforms': False,
'use_simclr_nce': True,
'step_length': 0.,
'use_rand_presence_noise': True,
'nce_presence_temperature': 0.1,
'use_diff_class_digit': True,
'nceprobs_selection': 'ncelinear_none',
'image_size': 34, # 40,
'no_hit_side': True,
# 'center_discrete': False,
'discrete_angle': True,
'nceprobs_selection_temperature': 1.0,
'simclr_selection_strategy': 'default',
'ncelinear_anchorselect': '21',
# 'center_discrete_count': 3,
'counter': find_counter,
'seed': 0,
'mnist_padding': True,
})
return find_counter, job
# Padded MNIST (34x34) NCE with 0.01 presence_temperature
elif find_counter == 4:
num_gpus = 4
time = 24
job.update({
'name': '2020.05.16',
# 'optimizer': 'adam',
'config': 'resnet_backbone_movingmnist2_20ccgray_img34',
'criterion': 'nceprobs_selective',
'triangle_lambda': 1,
# 'num_routing': 1,
'dataset': 'MovingMNist2',
'batch_size': 32,
'num_gpus': num_gpus,
'time': time,
# 'num_workers': 2,
'epoch': 500,
'schedule_milestones': '10,30',
'use_scheduler': True,
'weight_decay': 0.0005,
'lr': 0.0003,
'schedule_gamma': 0.3,
'no_colored': True,
'num_mnist_digits': 1,
'fix_moving_mnist_center': True,
# 'do_mnist_test_every': 1,
# 'do_mnist_test_after': -1,
'do_tsne_test_every': 1,
'do_tsne_test_after': -1,
'use_presence_probs': True,
'lambda_sparse_presence': 0.3,
'use_cuda_tsne': False,
'presence_loss_type': 'l2norm',
'fix_moving_mnist_angle': False,
'triangle_margin_lambda': 1.0,
'margin_gamma2': 0.1,
'triangle_cos_lambda': 1.0,
'no_use_angle_loss': True,
'no_use_hinge_loss': True,
'num_output_classes': 10,
'lambda_between_entropy': 3.0,
'lambda_within_entropy': 1.0,
'presence_diffcos_lambda': 10.0,
'use_class_sampler': False,
'no_use_nce_loss': True,
'use_nce_probs': True,
'use_simclr_xforms': False,
'use_simclr_nce': True,
'step_length': 0.,
'use_rand_presence_noise': True,
'nce_presence_temperature': 0.01,
'use_diff_class_digit': True,
'nceprobs_selection': 'ncelinear_none',
'image_size': 34, # 40,
'no_hit_side': True,
# 'center_discrete': False,
'discrete_angle': True,
'nceprobs_selection_temperature': 1.0,
'simclr_selection_strategy': 'default',
'ncelinear_anchorselect': '21',
# 'center_discrete_count': 3,
'counter': find_counter,
'seed': 0,
'mnist_padding': True,
})
return find_counter, job
# Padded MNIST (40x40) NCE with 0.01 nce_presence_temperature
elif find_counter == 5:
num_gpus = 4
time = 24
job.update({
'name': '2020.05.15',
# 'optimizer': 'adam',
'config': 'resnet_backbone_movingmnist2_20ccgray_img40',
'criterion': 'nceprobs_selective',
'triangle_lambda': 1,
# 'num_routing': 1,
'dataset': 'MovingMNist2',
'batch_size': 32,
'num_gpus': num_gpus,
'time': time,
# 'num_workers': 2,
'epoch': 500,
'schedule_milestones': '10,30',
'use_scheduler': True,
'weight_decay': 0.0005,
'lr': 0.0003,
'schedule_gamma': 0.3,
'no_colored': True,
'num_mnist_digits': 1,
'fix_moving_mnist_center': True,
# 'do_mnist_test_every': 1,
# 'do_mnist_test_after': -1,
'do_tsne_test_every': 1,
'do_tsne_test_after': -1,
'use_presence_probs': True,
'lambda_sparse_presence': 0.3,
'use_cuda_tsne': False,
'presence_loss_type': 'l2norm',
'fix_moving_mnist_angle': False,
'triangle_margin_lambda': 1.0,
'margin_gamma2': 0.1,
'triangle_cos_lambda': 1.0,
'no_use_angle_loss': True,
'no_use_hinge_loss': True,
'num_output_classes': 10,
'lambda_between_entropy': 3.0,
'lambda_within_entropy': 1.0,
'presence_diffcos_lambda': 10.0,
'use_class_sampler': False,
'no_use_nce_loss': True,
'use_nce_probs': True,
'use_simclr_xforms': False,
'use_simclr_nce': True,
'step_length': 0.,
'use_rand_presence_noise': True,
'nce_presence_temperature': 0.01,
'use_diff_class_digit': True,
'nceprobs_selection': 'ncelinear_none',
'image_size': 40, # 28
'no_hit_side': True,
# 'center_discrete': False,
'discrete_angle': True,
'nceprobs_selection_temperature': 1.0,
'simclr_selection_strategy': 'default',
'ncelinear_anchorselect': '21',
# 'center_discrete_count': 3,
'counter': find_counter,
'seed': 0,
'mnist_padding': True,
})
return find_counter, job
else:
print('Counter not found')
return None, None
if __name__ == '__main__':
run()
| 36.092965 | 122 | 0.527184 | 1,513 | 14,365 | 4.61996 | 0.128222 | 0.005722 | 0.017167 | 0.018884 | 0.89485 | 0.865951 | 0.859371 | 0.843062 | 0.839199 | 0.821745 | 0 | 0.048907 | 0.353777 | 14,365 | 397 | 123 | 36.183879 | 0.704083 | 0.091612 | 0 | 0.907186 | 0 | 0.002994 | 0.41205 | 0.153663 | 0 | 0 | 0 | 0 | 0 | 1 | 0.002994 | false | 0 | 0.002994 | 0 | 0.026946 | 0.002994 | 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 |
ce3802a183acac5cdf26d7c89899eeed50a03be0 | 3,019 | py | Python | problems/tests/test_subsets.py | vinta/fuck-coding-interviews | 915ff55963430e81134a35f65f511e5684c52f11 | [
"MIT"
] | 590 | 2020-06-17T08:26:47.000Z | 2022-03-30T18:47:32.000Z | problems/tests/test_subsets.py | parvathirajan/fuck-coding-interviews | 915ff55963430e81134a35f65f511e5684c52f11 | [
"MIT"
] | 12 | 2020-07-14T09:24:32.000Z | 2020-11-02T03:43:47.000Z | problems/tests/test_subsets.py | parvathirajan/fuck-coding-interviews | 915ff55963430e81134a35f65f511e5684c52f11 | [
"MIT"
] | 75 | 2020-07-29T06:50:13.000Z | 2022-03-13T16:14:57.000Z | # coding: utf-8
import unittest
from problems.subsets import Solution
from problems.subsets import Solution2
from problems.subsets import Solution3
class TestCase(unittest.TestCase):
def setUp(self):
self.solution = Solution()
def test(self):
nums = [1, 2, 3]
expected = [
[],
[1],
[2],
[3],
[1, 2],
[1, 3],
[2, 3],
[1, 2, 3],
]
self.assertCountEqual(self.solution.subsets(nums), expected)
def test2(self):
nums = []
expected = [
[],
]
self.assertCountEqual(self.solution.subsets(nums), expected)
def test3(self):
nums = [1]
expected = [
[],
[1, ],
]
self.assertCountEqual(self.solution.subsets(nums), expected)
def test4(self):
nums = [1, 2]
expected = [
[],
[1, ],
[2, ],
[1, 2],
]
self.assertCountEqual(self.solution.subsets(nums), expected)
class TestCase2(unittest.TestCase):
def setUp(self):
self.solution = Solution2()
def test(self):
nums = [1, 2, 3]
expected = [
[],
[1],
[2],
[3],
[1, 2],
[1, 3],
[2, 3],
[1, 2, 3],
]
self.assertCountEqual(self.solution.subsets(nums), expected)
def test2(self):
nums = []
expected = [
[],
]
self.assertCountEqual(self.solution.subsets(nums), expected)
def test3(self):
nums = [1]
expected = [
[],
[1, ],
]
self.assertCountEqual(self.solution.subsets(nums), expected)
def test4(self):
nums = [1, 2]
expected = [
[],
[1, ],
[2, ],
[1, 2],
]
self.assertCountEqual(self.solution.subsets(nums), expected)
class TestCase3(unittest.TestCase):
def setUp(self):
self.solution = Solution3()
def test(self):
nums = [1, 2, 3]
expected = [
[],
[1],
[2],
[3],
[1, 2],
[1, 3],
[2, 3],
[1, 2, 3],
]
self.assertCountEqual(self.solution.subsets(nums), expected)
def test2(self):
nums = []
expected = [
[],
]
self.assertCountEqual(self.solution.subsets(nums), expected)
def test3(self):
nums = [1]
expected = [
[],
[1, ],
]
self.assertCountEqual(self.solution.subsets(nums), expected)
def test4(self):
nums = [1, 2]
expected = [
[],
[1, ],
[2, ],
[1, 2],
]
self.assertCountEqual(self.solution.subsets(nums), expected)
if __name__ == '__main__':
unittest.main()
| 21.111888 | 68 | 0.433256 | 268 | 3,019 | 4.850746 | 0.115672 | 0.032308 | 0.221538 | 0.295385 | 0.843077 | 0.843077 | 0.843077 | 0.750769 | 0.750769 | 0.750769 | 0 | 0.049133 | 0.426963 | 3,019 | 142 | 69 | 21.260563 | 0.702312 | 0.004306 | 0 | 0.8 | 0 | 0 | 0.002663 | 0 | 0 | 0 | 0 | 0 | 0.1 | 1 | 0.125 | false | 0 | 0.033333 | 0 | 0.183333 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
cbeab346d7c8b88f3aa45b708b6ddde82cdf4ab1 | 200 | py | Python | KutanSpeech/__init__.py | kaankutan/kutanspeech | 62cf2cba0e457f2a9ae7bc9807db5dd23e9470bc | [
"MIT"
] | 1 | 2020-08-20T12:18:27.000Z | 2020-08-20T12:18:27.000Z | KutanSpeech/__init__.py | kaankutan/kutanspeech | 62cf2cba0e457f2a9ae7bc9807db5dd23e9470bc | [
"MIT"
] | null | null | null | KutanSpeech/__init__.py | kaankutan/kutanspeech | 62cf2cba0e457f2a9ae7bc9807db5dd23e9470bc | [
"MIT"
] | null | null | null | from KutanSpeech.KutanSpeech import KutanSpeech
from KutanSpeech.KutanSpeech import TimeoutError
from KutanSpeech.KutanSpeech import UnknownValueError
from KutanSpeech.KutanSpeech import RequestError
| 40 | 53 | 0.9 | 20 | 200 | 9 | 0.3 | 0.333333 | 0.577778 | 0.711111 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.08 | 200 | 4 | 54 | 50 | 0.978261 | 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 | 0 | 0 | 0 | 7 |
02062589924e1794c7547e4597e98722033b7de2 | 44,898 | py | Python | tests/unit/test/plan/test_plan_execution_errors.py | zetahernandez/pysoa | 006e55ba877196a42c64f2ff453583d366082d55 | [
"Apache-2.0"
] | null | null | null | tests/unit/test/plan/test_plan_execution_errors.py | zetahernandez/pysoa | 006e55ba877196a42c64f2ff453583d366082d55 | [
"Apache-2.0"
] | null | null | null | tests/unit/test/plan/test_plan_execution_errors.py | zetahernandez/pysoa | 006e55ba877196a42c64f2ff453583d366082d55 | [
"Apache-2.0"
] | null | null | null | from __future__ import (
absolute_import,
unicode_literals,
)
import os
import unittest
from pysoa.test.compatibility import mock
from pysoa.test.plan import ServicePlanTestCase
from pysoa.test.plan.errors import (
FixtureLoadError,
StatusError,
)
class Error1(BaseException):
pass
class Error2(BaseException):
pass
class Error3(BaseException):
pass
class Error4(BaseException):
pass
class Error5(BaseException):
pass
class MockedTestCase(ServicePlanTestCase):
addError = mock.MagicMock()
addFailure = mock.MagicMock()
set_up_test_fixture = mock.MagicMock()
tear_down_test_fixture = mock.MagicMock()
setUp = mock.MagicMock()
tearDown = mock.MagicMock()
set_up_test_case = mock.MagicMock()
tear_down_test_case = mock.MagicMock()
set_up_test_case_action = mock.MagicMock()
tear_down_test_case_action = mock.MagicMock()
_run_test_case = mock.MagicMock()
_all_directives = (mock.MagicMock(), )
def __init__(self):
super(MockedTestCase, self).__init__('fake_test')
def fake_test(self):
"""
This is so that we can instantiate the class.
"""
@classmethod
def reset(cls, include_setup=True):
if include_setup:
if hasattr(cls, '_test_fixture_setup_called'):
del cls._test_fixture_setup_called
if hasattr(cls, '_test_fixture_setup_succeeded'):
del cls._test_fixture_setup_succeeded
cls.addError = mock.MagicMock()
cls.addFailure = mock.MagicMock()
cls.set_up_test_fixture = mock.MagicMock()
cls.tear_down_test_fixture = mock.MagicMock()
cls.setUp = mock.MagicMock()
cls.tearDown = mock.MagicMock()
cls.set_up_test_case = mock.MagicMock()
cls.tear_down_test_case = mock.MagicMock()
cls.set_up_test_case_action = mock.MagicMock()
cls.tear_down_test_case_action = mock.MagicMock()
cls._run_test_case = mock.MagicMock()
cls._all_directives = (mock.MagicMock(),)
# Mock doesn't automatically mock methods that start with `assert`, so we have to do this
cls._all_directives[0].return_value.assert_test_fixture_results = mock.MagicMock()
class TestInvalidFixturePaths(unittest.TestCase):
def setUp(self):
MockedTestCase.reset()
def test_path_does_not_exist(self):
class TestCase(ServicePlanTestCase):
fixture_path = '/invalid/path'
with self.assertRaises(FixtureLoadError) as error_context:
TestCase.get_fixture_file_names()
self.assertIn('path does not exist', error_context.exception.args[0])
def test_path_has_no_fixtures(self):
class TestCase(ServicePlanTestCase):
fixture_path = os.path.dirname(__file__) + '/empty'
with self.assertRaises(FixtureLoadError) as error_context:
TestCase.get_fixture_file_names()
self.assertIn('Could not find any fixture files', error_context.exception.args[0])
def test_abnormal_fixture_tear_down_succeeded(self):
test_case = {'my': 'case'}
test_fixture = ['foo', 'bar']
test_fixture_results = ['baz', 'qux']
test = MockedTestCase()
test_function = test._create_test_function(
'My test description',
'my_fixture',
test_case,
test_fixture,
test_fixture_results,
)
self.assertEqual('My test description', test_function.__doc__)
test.set_up_test_fixture.assert_not_called()
test.tear_down_test_fixture.assert_not_called()
test.setUp.assert_not_called()
test.tearDown.assert_not_called()
test.set_up_test_case.assert_not_called()
test.tear_down_test_case.assert_not_called()
test.set_up_test_case_action.assert_not_called()
test.tear_down_test_case_action.assert_not_called()
test._run_test_case.assert_not_called()
test._all_directives[0].return_value.set_up_test_fixture.assert_not_called()
test._all_directives[0].return_value.tear_down_test_fixture.assert_not_called()
test._all_directives[0].return_value.set_up_test_case.assert_not_called()
test._all_directives[0].return_value.tear_down_test_case.assert_not_called()
test._all_directives[0].return_value.set_up_test_case_action.assert_not_called()
test._all_directives[0].return_value.tear_down_test_case_action.assert_not_called()
test_function(test)
test.set_up_test_fixture.assert_called_once_with(test_fixture)
test.tear_down_test_fixture.assert_not_called()
test.setUp.assert_called_once_with()
test.tearDown.assert_called_once_with()
test.set_up_test_case.assert_called_once_with(test_case, test_fixture)
test.tear_down_test_case.assert_called_once_with(test_case, test_fixture)
test.set_up_test_case_action.assert_not_called()
test.tear_down_test_case_action.assert_not_called()
test._run_test_case.assert_called_once_with(test_case, test_fixture, test_fixture_results)
test._all_directives[0].return_value.set_up_test_fixture.assert_called_once_with(test_fixture)
test._all_directives[0].return_value.assert_test_fixture_results.assert_not_called()
test._all_directives[0].return_value.tear_down_test_fixture.assert_not_called()
test._all_directives[0].return_value.set_up_test_case.assert_called_once_with(test_case, test_fixture)
test._all_directives[0].return_value.tear_down_test_case.assert_called_once_with(test_case, test_fixture)
test._all_directives[0].return_value.set_up_test_case_action.assert_not_called()
test._all_directives[0].return_value.tear_down_test_case_action.assert_not_called()
test.tearDownClass()
test.tear_down_test_fixture.assert_called_once_with(test_fixture)
test._all_directives[0].return_value.tear_down_test_fixture.assert_called_once_with(test_fixture)
test.addError.assert_not_called()
test.addFailure.assert_not_called()
def test_abnormal_fixture_tear_down_failed(self):
test_case = {'my': 'case'}
test_fixture = ['foo', 'bar']
test_fixture_results = ['baz', 'qux']
test = MockedTestCase()
test_function = test._create_test_function(
'Your test description',
'your_fixture',
test_case,
test_fixture,
test_fixture_results,
)
self.assertEqual('Your test description', test_function.__doc__)
test_function(test)
test.set_up_test_fixture.assert_called_once_with(test_fixture)
test.tear_down_test_fixture.assert_not_called()
test.setUp.assert_called_once_with()
test.tearDown.assert_called_once_with()
test.set_up_test_case.assert_called_once_with(test_case, test_fixture)
test.tear_down_test_case.assert_called_once_with(test_case, test_fixture)
test.set_up_test_case_action.assert_not_called()
test.tear_down_test_case_action.assert_not_called()
test._run_test_case.assert_called_once_with(test_case, test_fixture, test_fixture_results)
test._all_directives[0].return_value.set_up_test_fixture.assert_called_once_with(test_fixture)
test._all_directives[0].return_value.assert_test_fixture_results.assert_not_called()
test._all_directives[0].return_value.tear_down_test_fixture.assert_not_called()
test._all_directives[0].return_value.set_up_test_case.assert_called_once_with(test_case, test_fixture)
test._all_directives[0].return_value.tear_down_test_case.assert_called_once_with(test_case, test_fixture)
test._all_directives[0].return_value.set_up_test_case_action.assert_not_called()
test._all_directives[0].return_value.tear_down_test_case_action.assert_not_called()
test.tear_down_test_fixture.side_effect = Error1()
with self.assertRaises(Error1):
test.tearDownClass()
test.tear_down_test_fixture.assert_called_once_with(test_fixture)
test._all_directives[0].return_value.tear_down_test_fixture.assert_called_once_with(test_fixture)
test.addError.assert_not_called()
test.addFailure.assert_not_called()
def test_normal_fixture_tear_down(self):
test_case = {'my': 'case'}
test_fixture = ['foo', 'bar']
test_fixture_results = ['baz', 'qux']
test = MockedTestCase()
test_function = test._create_test_function(
'My test description',
'my_fixture',
test_case,
test_fixture,
test_fixture_results,
)
test_function._last_fixture_test = True
self.assertEqual('My test description', test_function.__doc__)
test_function(test)
test.set_up_test_fixture.assert_called_once_with(test_fixture)
test.tear_down_test_fixture.assert_called_once_with(test_fixture)
test.setUp.assert_called_once_with()
test.tearDown.assert_called_once_with()
test.set_up_test_case.assert_called_once_with(test_case, test_fixture)
test.tear_down_test_case.assert_called_once_with(test_case, test_fixture)
test.set_up_test_case_action.assert_not_called()
test.tear_down_test_case_action.assert_not_called()
test._run_test_case.assert_called_once_with(test_case, test_fixture, test_fixture_results)
test._all_directives[0].return_value.set_up_test_fixture.assert_called_once_with(test_fixture)
test._all_directives[0].return_value.assert_test_fixture_results.assert_called_once_with(
test_fixture_results,
test_fixture,
)
test._all_directives[0].return_value.tear_down_test_fixture.assert_called_once_with(test_fixture)
test._all_directives[0].return_value.set_up_test_case.assert_called_once_with(test_case, test_fixture)
test._all_directives[0].return_value.tear_down_test_case.assert_called_once_with(test_case, test_fixture)
test._all_directives[0].return_value.set_up_test_case_action.assert_not_called()
test._all_directives[0].return_value.tear_down_test_case_action.assert_not_called()
test.tearDownClass()
test.tear_down_test_fixture.assert_called_once_with(test_fixture)
test._all_directives[0].return_value.tear_down_test_fixture.assert_called_once_with(test_fixture)
test.addError.assert_not_called()
test.addFailure.assert_not_called()
def test_fixture_setup_failed(self):
test_case = {'my': 'case'}
test_fixture = ['foo', 'bar']
test_fixture_results = ['baz', 'qux']
test = MockedTestCase()
test_function = test._create_test_function(
'My test description',
'my_fixture',
test_case,
test_fixture,
test_fixture_results,
)
test_function._last_fixture_test = True
self.assertEqual('My test description', test_function.__doc__)
test.set_up_test_fixture.side_effect = Error1()
with self.assertRaises(Error1):
test_function(test)
test.set_up_test_fixture.assert_called_once_with(test_fixture)
test.tear_down_test_fixture.assert_not_called()
test.setUp.assert_not_called()
test.tearDown.assert_not_called()
test.set_up_test_case.assert_not_called()
test.tear_down_test_case.assert_not_called()
test.set_up_test_case_action.assert_not_called()
test.tear_down_test_case_action.assert_not_called()
test._run_test_case.assert_not_called()
test._all_directives[0].return_value.set_up_test_fixture.assert_not_called()
test._all_directives[0].return_value.assert_test_fixture_results.assert_not_called()
test._all_directives[0].return_value.tear_down_test_fixture.assert_not_called()
test._all_directives[0].return_value.set_up_test_case.assert_not_called()
test._all_directives[0].return_value.tear_down_test_case.assert_not_called()
test._all_directives[0].return_value.set_up_test_case_action.assert_not_called()
test._all_directives[0].return_value.tear_down_test_case_action.assert_not_called()
with self.assertRaises(StatusError):
test_function(test)
def test_error_on_set_up_no_other_errors(self):
test_case = {'my': 'case'}
test_fixture = ['foo', 'bar']
test_fixture_results = ['baz', 'qux']
test = MockedTestCase()
test_function = test._create_test_function('aaa', 'bbb', test_case, test_fixture, test_fixture_results)
test_function._last_fixture_test = True
test.setUp.side_effect = Error1()
with self.assertRaises(Error1):
test_function(test)
test.set_up_test_fixture.assert_called_once_with(test_fixture)
test.tear_down_test_fixture.assert_called_once_with(test_fixture)
test.setUp.assert_called_once_with()
test.tearDown.assert_called_once_with()
test.set_up_test_case.assert_not_called()
test.tear_down_test_case.assert_not_called()
test.set_up_test_case_action.assert_not_called()
test.tear_down_test_case_action.assert_not_called()
test._run_test_case.assert_not_called()
test._all_directives[0].return_value.set_up_test_fixture.assert_called_once_with(test_fixture)
test._all_directives[0].return_value.assert_test_fixture_results.assert_called_once_with(
test_fixture_results,
test_fixture,
)
test._all_directives[0].return_value.tear_down_test_fixture.assert_called_once_with(test_fixture)
test._all_directives[0].return_value.set_up_test_case.assert_not_called()
test._all_directives[0].return_value.tear_down_test_case.assert_not_called()
test._all_directives[0].return_value.set_up_test_case_action.assert_not_called()
test._all_directives[0].return_value.tear_down_test_case_action.assert_not_called()
test.addError.assert_not_called()
test.addFailure.assert_not_called()
def test_error_on_set_up_some_other_errors(self):
test_case = {'my': 'case'}
test_fixture = ['foo', 'bar']
test_fixture_results = ['baz', 'qux']
test = MockedTestCase()
test_function = test._create_test_function('aaa', 'bbb', test_case, test_fixture, test_fixture_results)
test_function._last_fixture_test = True
test.setUp.side_effect = Error1()
test.tearDown.side_effect = Error2()
test.tear_down_test_fixture.side_effect = Error3()
with self.assertRaises(Error1):
test_function(test)
test.set_up_test_fixture.assert_called_once_with(test_fixture)
test.tear_down_test_fixture.assert_called_once_with(test_fixture)
test.setUp.assert_called_once_with()
test.tearDown.assert_called_once_with()
test.set_up_test_case.assert_not_called()
test.tear_down_test_case.assert_not_called()
test.set_up_test_case_action.assert_not_called()
test.tear_down_test_case_action.assert_not_called()
test._run_test_case.assert_not_called()
test._all_directives[0].return_value.set_up_test_fixture.assert_called_once_with(test_fixture)
test._all_directives[0].return_value.assert_test_fixture_results.assert_called_once_with(
test_fixture_results,
test_fixture,
)
test._all_directives[0].return_value.tear_down_test_fixture.assert_called_once_with(test_fixture)
test._all_directives[0].return_value.set_up_test_case.assert_not_called()
test._all_directives[0].return_value.tear_down_test_case.assert_not_called()
test._all_directives[0].return_value.set_up_test_case_action.assert_not_called()
test._all_directives[0].return_value.tear_down_test_case_action.assert_not_called()
self.assertEqual(2, test.addError.call_count)
test.addFailure.assert_not_called()
def test_error_on_set_up_different_other_errors(self):
test_case = {'my': 'case'}
test_fixture = ['foo', 'bar']
test_fixture_results = ['baz', 'qux']
test = MockedTestCase()
test_function = test._create_test_function('aaa', 'bbb', test_case, test_fixture, test_fixture_results)
test_function._last_fixture_test = True
test.setUp.side_effect = Error3()
test.tearDown.side_effect = KeyboardInterrupt()
test._all_directives[0].return_value.assert_test_fixture_results.side_effect = AssertionError()
test.tear_down_test_fixture.side_effect = KeyboardInterrupt()
with self.assertRaises(Error3):
test_function(test)
test.set_up_test_fixture.assert_called_once_with(test_fixture)
test.tear_down_test_fixture.assert_called_once_with(test_fixture)
test.setUp.assert_called_once_with()
test.tearDown.assert_called_once_with()
test.set_up_test_case.assert_not_called()
test.tear_down_test_case.assert_not_called()
test.set_up_test_case_action.assert_not_called()
test.tear_down_test_case_action.assert_not_called()
test._run_test_case.assert_not_called()
test._all_directives[0].return_value.set_up_test_fixture.assert_called_once_with(test_fixture)
test._all_directives[0].return_value.assert_test_fixture_results.assert_called_once_with(
test_fixture_results,
test_fixture,
)
test._all_directives[0].return_value.tear_down_test_fixture.assert_called_once_with(test_fixture)
test._all_directives[0].return_value.set_up_test_case.assert_not_called()
test._all_directives[0].return_value.tear_down_test_case.assert_not_called()
test._all_directives[0].return_value.set_up_test_case_action.assert_not_called()
test._all_directives[0].return_value.tear_down_test_case_action.assert_not_called()
test.addError.assert_not_called()
test.assertEqual(1, test.addFailure.call_count)
def test_error_on_set_up_test_case_no_other_errors(self):
test_case = {'my': 'case'}
test_fixture = ['foo', 'bar']
test_fixture_results = ['baz', 'qux']
test = MockedTestCase()
test_function = test._create_test_function('aaa', 'bbb', test_case, test_fixture, test_fixture_results)
test_function._last_fixture_test = True
test.set_up_test_case.side_effect = Error1()
with self.assertRaises(Error1):
test_function(test)
test.set_up_test_fixture.assert_called_once_with(test_fixture)
test.tear_down_test_fixture.assert_called_once_with(test_fixture)
test.setUp.assert_called_once_with()
test.tearDown.assert_called_once_with()
test.set_up_test_case.assert_called_once_with(test_case, test_fixture)
test.tear_down_test_case.assert_not_called()
test.set_up_test_case_action.assert_not_called()
test.tear_down_test_case_action.assert_not_called()
test._run_test_case.assert_not_called()
test._all_directives[0].return_value.set_up_test_fixture.assert_called_once_with(test_fixture)
test._all_directives[0].return_value.assert_test_fixture_results.assert_called_once_with(
test_fixture_results,
test_fixture,
)
test._all_directives[0].return_value.tear_down_test_fixture.assert_called_once_with(test_fixture)
test._all_directives[0].return_value.set_up_test_case.assert_not_called()
test._all_directives[0].return_value.tear_down_test_case.assert_not_called()
test._all_directives[0].return_value.set_up_test_case_action.assert_not_called()
test._all_directives[0].return_value.tear_down_test_case_action.assert_not_called()
test.addError.assert_not_called()
test.addFailure.assert_not_called()
def test_error_on_run_test_no_other_errors(self):
test_case = {'my': 'case'}
test_fixture = ['foo', 'bar']
test_fixture_results = ['baz', 'qux']
test = MockedTestCase()
test_function = test._create_test_function('aaa', 'bbb', test_case, test_fixture, test_fixture_results)
test_function._last_fixture_test = True
test._run_test_case.side_effect = Error1()
with self.assertRaises(Error1):
test_function(test)
test.set_up_test_fixture.assert_called_once_with(test_fixture)
test.tear_down_test_fixture.assert_called_once_with(test_fixture)
test.setUp.assert_called_once_with()
test.tearDown.assert_called_once_with()
test.set_up_test_case.assert_called_once_with(test_case, test_fixture)
test.tear_down_test_case.assert_called_once_with(test_case, test_fixture)
test.set_up_test_case_action.assert_not_called()
test.tear_down_test_case_action.assert_not_called()
test._run_test_case.assert_called_once_with(test_case, test_fixture, test_fixture_results)
test._all_directives[0].return_value.set_up_test_fixture.assert_called_once_with(test_fixture)
test._all_directives[0].return_value.assert_test_fixture_results.assert_called_once_with(
test_fixture_results,
test_fixture,
)
test._all_directives[0].return_value.tear_down_test_fixture.assert_called_once_with(test_fixture)
test._all_directives[0].return_value.set_up_test_case.assert_called_once_with(test_case, test_fixture)
test._all_directives[0].return_value.tear_down_test_case.assert_called_once_with(test_case, test_fixture)
test._all_directives[0].return_value.set_up_test_case_action.assert_not_called()
test._all_directives[0].return_value.tear_down_test_case_action.assert_not_called()
test.addError.assert_not_called()
test.addFailure.assert_not_called()
def test_error_on_run_test_no_some_other_errors(self):
test_case = {'my': 'case'}
test_fixture = ['foo', 'bar']
test_fixture_results = ['baz', 'qux']
test = MockedTestCase()
test_function = test._create_test_function('aaa', 'bbb', test_case, test_fixture, test_fixture_results)
test_function._last_fixture_test = True
test._run_test_case.side_effect = Error1()
test.tear_down_test_case.side_effect = Error2()
test.tear_down_test_fixture.side_effect = Error3()
with self.assertRaises(Error1):
test_function(test)
test.set_up_test_fixture.assert_called_once_with(test_fixture)
test.tear_down_test_fixture.assert_called_once_with(test_fixture)
test.setUp.assert_called_once_with()
test.tearDown.assert_called_once_with()
test.set_up_test_case.assert_called_once_with(test_case, test_fixture)
test.tear_down_test_case.assert_called_once_with(test_case, test_fixture)
test.set_up_test_case_action.assert_not_called()
test.tear_down_test_case_action.assert_not_called()
test._run_test_case.assert_called_once_with(test_case, test_fixture, test_fixture_results)
test._all_directives[0].return_value.set_up_test_fixture.assert_called_once_with(test_fixture)
test._all_directives[0].return_value.assert_test_fixture_results.assert_called_once_with(
test_fixture_results,
test_fixture,
)
test._all_directives[0].return_value.tear_down_test_fixture.assert_called_once_with(test_fixture)
test._all_directives[0].return_value.set_up_test_case.assert_called_once_with(test_case, test_fixture)
test._all_directives[0].return_value.tear_down_test_case.assert_called_once_with(test_case, test_fixture)
test._all_directives[0].return_value.set_up_test_case_action.assert_not_called()
test._all_directives[0].return_value.tear_down_test_case_action.assert_not_called()
self.assertEqual(2, test.addError.call_count)
test.addFailure.assert_not_called()
def test_error_on_run_test_no_different_other_errors(self):
test_case = {'my': 'case'}
test_fixture = ['foo', 'bar']
test_fixture_results = ['baz', 'qux']
test = MockedTestCase()
test_function = test._create_test_function('aaa', 'bbb', test_case, test_fixture, test_fixture_results)
test_function._last_fixture_test = True
test._run_test_case.side_effect = Error4()
test.tear_down_test_case.side_effect = KeyboardInterrupt()
test._all_directives[0].return_value.assert_test_fixture_results.side_effect = Error5()
with self.assertRaises(Error4):
test_function(test)
test.set_up_test_fixture.assert_called_once_with(test_fixture)
test.tear_down_test_fixture.assert_called_once_with(test_fixture)
test.setUp.assert_called_once_with()
test.tearDown.assert_called_once_with()
test.set_up_test_case.assert_called_once_with(test_case, test_fixture)
test.tear_down_test_case.assert_called_once_with(test_case, test_fixture)
test.set_up_test_case_action.assert_not_called()
test.tear_down_test_case_action.assert_not_called()
test._run_test_case.assert_called_once_with(test_case, test_fixture, test_fixture_results)
test._all_directives[0].return_value.set_up_test_fixture.assert_called_once_with(test_fixture)
test._all_directives[0].return_value.assert_test_fixture_results.assert_called_once_with(
test_fixture_results,
test_fixture,
)
test._all_directives[0].return_value.tear_down_test_fixture.assert_called_once_with(test_fixture)
test._all_directives[0].return_value.set_up_test_case.assert_called_once_with(test_case, test_fixture)
test._all_directives[0].return_value.tear_down_test_case.assert_called_once_with(test_case, test_fixture)
test._all_directives[0].return_value.set_up_test_case_action.assert_not_called()
test._all_directives[0].return_value.tear_down_test_case_action.assert_not_called()
test.assertEqual(1, test.addError.call_count)
test.addFailure.assert_not_called()
def test_keyboard_error_on_tear_down_test_case_no_other_errors(self):
test_case = {'my': 'case'}
test_fixture = ['foo', 'bar']
test_fixture_results = ['baz', 'qux']
test = MockedTestCase()
test_function = test._create_test_function('aaa', 'bbb', test_case, test_fixture, test_fixture_results)
test_function._last_fixture_test = True
test.tear_down_test_case.side_effect = KeyboardInterrupt()
with self.assertRaises(KeyboardInterrupt):
test_function(test)
test.set_up_test_fixture.assert_called_once_with(test_fixture)
test.tear_down_test_fixture.assert_called_once_with(test_fixture)
test.setUp.assert_called_once_with()
test.tearDown.assert_called_once_with()
test.set_up_test_case.assert_called_once_with(test_case, test_fixture)
test.tear_down_test_case.assert_called_once_with(test_case, test_fixture)
test.set_up_test_case_action.assert_not_called()
test.tear_down_test_case_action.assert_not_called()
test._run_test_case.assert_called_once_with(test_case, test_fixture, test_fixture_results)
test._all_directives[0].return_value.set_up_test_fixture.assert_called_once_with(test_fixture)
test._all_directives[0].return_value.assert_test_fixture_results.assert_called_once_with(
test_fixture_results,
test_fixture,
)
test._all_directives[0].return_value.tear_down_test_fixture.assert_called_once_with(test_fixture)
test._all_directives[0].return_value.set_up_test_case.assert_called_once_with(test_case, test_fixture)
test._all_directives[0].return_value.tear_down_test_case.assert_called_once_with(test_case, test_fixture)
test._all_directives[0].return_value.set_up_test_case_action.assert_not_called()
test._all_directives[0].return_value.tear_down_test_case_action.assert_not_called()
test.addError.assert_not_called()
test.addFailure.assert_not_called()
def test_other_error_on_tear_down_test_case_some_other_errors(self):
test_case = {'my': 'case'}
test_fixture = ['foo', 'bar']
test_fixture_results = ['baz', 'qux']
test = MockedTestCase()
test_function = test._create_test_function('aaa', 'bbb', test_case, test_fixture, test_fixture_results)
test_function._last_fixture_test = True
test.tear_down_test_case.side_effect = Error2()
test._all_directives[0].return_value.assert_test_fixture_results.side_effect = Error5()
with self.assertRaises(Error2):
test_function(test)
test.set_up_test_fixture.assert_called_once_with(test_fixture)
test.tear_down_test_fixture.assert_called_once_with(test_fixture)
test.setUp.assert_called_once_with()
test.tearDown.assert_called_once_with()
test.set_up_test_case.assert_called_once_with(test_case, test_fixture)
test.tear_down_test_case.assert_called_once_with(test_case, test_fixture)
test.set_up_test_case_action.assert_not_called()
test.tear_down_test_case_action.assert_not_called()
test._run_test_case.assert_called_once_with(test_case, test_fixture, test_fixture_results)
test._all_directives[0].return_value.set_up_test_fixture.assert_called_once_with(test_fixture)
test._all_directives[0].return_value.assert_test_fixture_results.assert_called_once_with(
test_fixture_results,
test_fixture,
)
test._all_directives[0].return_value.tear_down_test_fixture.assert_called_once_with(test_fixture)
test._all_directives[0].return_value.set_up_test_case.assert_called_once_with(test_case, test_fixture)
test._all_directives[0].return_value.tear_down_test_case.assert_called_once_with(test_case, test_fixture)
test._all_directives[0].return_value.set_up_test_case_action.assert_not_called()
test._all_directives[0].return_value.tear_down_test_case_action.assert_not_called()
test.assertEqual(1, test.addError.call_count)
test.addFailure.assert_not_called()
def test_keyboard_error_on_tear_down_no_other_errors(self):
test_case = {'my': 'case'}
test_fixture = ['foo', 'bar']
test_fixture_results = ['baz', 'qux']
test = MockedTestCase()
test_function = test._create_test_function('aaa', 'bbb', test_case, test_fixture, test_fixture_results)
test_function._last_fixture_test = True
test.tearDown.side_effect = KeyboardInterrupt()
with self.assertRaises(KeyboardInterrupt):
test_function(test)
test.set_up_test_fixture.assert_called_once_with(test_fixture)
test.tear_down_test_fixture.assert_called_once_with(test_fixture)
test.setUp.assert_called_once_with()
test.tearDown.assert_called_once_with()
test.set_up_test_case.assert_called_once_with(test_case, test_fixture)
test.tear_down_test_case.assert_called_once_with(test_case, test_fixture)
test.set_up_test_case_action.assert_not_called()
test.tear_down_test_case_action.assert_not_called()
test._run_test_case.assert_called_once_with(test_case, test_fixture, test_fixture_results)
test._all_directives[0].return_value.set_up_test_fixture.assert_called_once_with(test_fixture)
test._all_directives[0].return_value.assert_test_fixture_results.assert_called_once_with(
test_fixture_results,
test_fixture,
)
test._all_directives[0].return_value.tear_down_test_fixture.assert_called_once_with(test_fixture)
test._all_directives[0].return_value.set_up_test_case.assert_called_once_with(test_case, test_fixture)
test._all_directives[0].return_value.tear_down_test_case.assert_called_once_with(test_case, test_fixture)
test._all_directives[0].return_value.set_up_test_case_action.assert_not_called()
test._all_directives[0].return_value.tear_down_test_case_action.assert_not_called()
test.addError.assert_not_called()
test.addFailure.assert_not_called()
def test_other_error_on_tear_down_some_other_errors(self):
test_case = {'my': 'case'}
test_fixture = ['foo', 'bar']
test_fixture_results = ['baz', 'qux']
test = MockedTestCase()
test_function = test._create_test_function('aaa', 'bbb', test_case, test_fixture, test_fixture_results)
test_function._last_fixture_test = True
test.tearDown.side_effect = Error2()
test._all_directives[0].return_value.assert_test_fixture_results.side_effect = KeyboardInterrupt()
with self.assertRaises(Error2):
test_function(test)
test.set_up_test_fixture.assert_called_once_with(test_fixture)
test.tear_down_test_fixture.assert_called_once_with(test_fixture)
test.setUp.assert_called_once_with()
test.tearDown.assert_called_once_with()
test.set_up_test_case.assert_called_once_with(test_case, test_fixture)
test.tear_down_test_case.assert_called_once_with(test_case, test_fixture)
test.set_up_test_case_action.assert_not_called()
test.tear_down_test_case_action.assert_not_called()
test._run_test_case.assert_called_once_with(test_case, test_fixture, test_fixture_results)
test._all_directives[0].return_value.set_up_test_fixture.assert_called_once_with(test_fixture)
test._all_directives[0].return_value.assert_test_fixture_results.assert_called_once_with(
test_fixture_results,
test_fixture,
)
test._all_directives[0].return_value.tear_down_test_fixture.assert_called_once_with(test_fixture)
test._all_directives[0].return_value.set_up_test_case.assert_called_once_with(test_case, test_fixture)
test._all_directives[0].return_value.tear_down_test_case.assert_called_once_with(test_case, test_fixture)
test._all_directives[0].return_value.set_up_test_case_action.assert_not_called()
test._all_directives[0].return_value.tear_down_test_case_action.assert_not_called()
test.addError.assert_not_called()
test.addFailure.assert_not_called()
def test_keyboard_error_on_assert_test_fixture_results_no_other_errors(self):
test_case = {'my': 'case'}
test_fixture = ['foo', 'bar']
test_fixture_results = ['baz', 'qux']
test = MockedTestCase()
test_function = test._create_test_function('aaa', 'bbb', test_case, test_fixture, test_fixture_results)
test_function._last_fixture_test = True
test._all_directives[0].return_value.assert_test_fixture_results.side_effect = KeyboardInterrupt()
with self.assertRaises(KeyboardInterrupt):
test_function(test)
test.set_up_test_fixture.assert_called_once_with(test_fixture)
test.tear_down_test_fixture.assert_called_once_with(test_fixture)
test.setUp.assert_called_once_with()
test.tearDown.assert_called_once_with()
test.set_up_test_case.assert_called_once_with(test_case, test_fixture)
test.tear_down_test_case.assert_called_once_with(test_case, test_fixture)
test.set_up_test_case_action.assert_not_called()
test.tear_down_test_case_action.assert_not_called()
test._run_test_case.assert_called_once_with(test_case, test_fixture, test_fixture_results)
test._all_directives[0].return_value.set_up_test_fixture.assert_called_once_with(test_fixture)
test._all_directives[0].return_value.assert_test_fixture_results.assert_called_once_with(
test_fixture_results,
test_fixture,
)
test._all_directives[0].return_value.tear_down_test_fixture.assert_called_once_with(test_fixture)
test._all_directives[0].return_value.set_up_test_case.assert_called_once_with(test_case, test_fixture)
test._all_directives[0].return_value.tear_down_test_case.assert_called_once_with(test_case, test_fixture)
test._all_directives[0].return_value.set_up_test_case_action.assert_not_called()
test._all_directives[0].return_value.tear_down_test_case_action.assert_not_called()
test.addError.assert_not_called()
test.addFailure.assert_not_called()
def test_assertion_error_on_assert_test_fixture_results_some_other_errors(self):
test_case = {'my': 'case'}
test_fixture = ['foo', 'bar']
test_fixture_results = ['baz', 'qux']
test = MockedTestCase()
test_function = test._create_test_function('aaa', 'bbb', test_case, test_fixture, test_fixture_results)
test_function._last_fixture_test = True
test._all_directives[0].return_value.assert_test_fixture_results.side_effect = AssertionError()
test.tear_down_test_fixture.side_effect = Error5()
with self.assertRaises(AssertionError):
test_function(test)
test.set_up_test_fixture.assert_called_once_with(test_fixture)
test.tear_down_test_fixture.assert_called_once_with(test_fixture)
test.setUp.assert_called_once_with()
test.tearDown.assert_called_once_with()
test.set_up_test_case.assert_called_once_with(test_case, test_fixture)
test.tear_down_test_case.assert_called_once_with(test_case, test_fixture)
test.set_up_test_case_action.assert_not_called()
test.tear_down_test_case_action.assert_not_called()
test._run_test_case.assert_called_once_with(test_case, test_fixture, test_fixture_results)
test._all_directives[0].return_value.set_up_test_fixture.assert_called_once_with(test_fixture)
test._all_directives[0].return_value.assert_test_fixture_results.assert_called_once_with(
test_fixture_results,
test_fixture,
)
test._all_directives[0].return_value.tear_down_test_fixture.assert_called_once_with(test_fixture)
test._all_directives[0].return_value.set_up_test_case.assert_called_once_with(test_case, test_fixture)
test._all_directives[0].return_value.tear_down_test_case.assert_called_once_with(test_case, test_fixture)
test._all_directives[0].return_value.set_up_test_case_action.assert_not_called()
test._all_directives[0].return_value.tear_down_test_case_action.assert_not_called()
test.assertEqual(1, test.addError.call_count)
test.addFailure.assert_not_called()
def test_other_error_on_assert_test_fixture_results_some_other_errors(self):
test_case = {'my': 'case'}
test_fixture = ['foo', 'bar']
test_fixture_results = ['baz', 'qux']
test = MockedTestCase()
test_function = test._create_test_function('aaa', 'bbb', test_case, test_fixture, test_fixture_results)
test_function._last_fixture_test = True
test._all_directives[0].return_value.assert_test_fixture_results.side_effect = Error3()
test._all_directives[0].return_value.tear_down_test_fixture.side_effect = Error4()
with self.assertRaises(Error3):
test_function(test)
test.set_up_test_fixture.assert_called_once_with(test_fixture)
test.tear_down_test_fixture.assert_not_called()
test.setUp.assert_called_once_with()
test.tearDown.assert_called_once_with()
test.set_up_test_case.assert_called_once_with(test_case, test_fixture)
test.tear_down_test_case.assert_called_once_with(test_case, test_fixture)
test.set_up_test_case_action.assert_not_called()
test.tear_down_test_case_action.assert_not_called()
test._run_test_case.assert_called_once_with(test_case, test_fixture, test_fixture_results)
test._all_directives[0].return_value.set_up_test_fixture.assert_called_once_with(test_fixture)
test._all_directives[0].return_value.assert_test_fixture_results.assert_called_once_with(
test_fixture_results,
test_fixture,
)
test._all_directives[0].return_value.tear_down_test_fixture.assert_called_once_with(test_fixture)
test._all_directives[0].return_value.set_up_test_case.assert_called_once_with(test_case, test_fixture)
test._all_directives[0].return_value.tear_down_test_case.assert_called_once_with(test_case, test_fixture)
test._all_directives[0].return_value.set_up_test_case_action.assert_not_called()
test._all_directives[0].return_value.tear_down_test_case_action.assert_not_called()
test.assertEqual(1, test.addError.call_count)
test.addFailure.assert_not_called()
def test_keyboard_error_on_tear_down_test_fixture(self):
test_case = {'my': 'case'}
test_fixture = ['foo', 'bar']
test_fixture_results = ['baz', 'qux']
test = MockedTestCase()
test_function = test._create_test_function('aaa', 'bbb', test_case, test_fixture, test_fixture_results)
test_function._last_fixture_test = True
test.tear_down_test_fixture.side_effect = KeyboardInterrupt()
with self.assertRaises(KeyboardInterrupt):
test_function(test)
test.set_up_test_fixture.assert_called_once_with(test_fixture)
test.tear_down_test_fixture.assert_called_once_with(test_fixture)
test.setUp.assert_called_once_with()
test.tearDown.assert_called_once_with()
test.set_up_test_case.assert_called_once_with(test_case, test_fixture)
test.tear_down_test_case.assert_called_once_with(test_case, test_fixture)
test.set_up_test_case_action.assert_not_called()
test.tear_down_test_case_action.assert_not_called()
test._run_test_case.assert_called_once_with(test_case, test_fixture, test_fixture_results)
test._all_directives[0].return_value.set_up_test_fixture.assert_called_once_with(test_fixture)
test._all_directives[0].return_value.assert_test_fixture_results.assert_called_once_with(
test_fixture_results,
test_fixture,
)
test._all_directives[0].return_value.tear_down_test_fixture.assert_called_once_with(test_fixture)
test._all_directives[0].return_value.set_up_test_case.assert_called_once_with(test_case, test_fixture)
test._all_directives[0].return_value.tear_down_test_case.assert_called_once_with(test_case, test_fixture)
test._all_directives[0].return_value.set_up_test_case_action.assert_not_called()
test._all_directives[0].return_value.tear_down_test_case_action.assert_not_called()
test.addError.assert_not_called()
test.addFailure.assert_not_called()
def test_other_error_on_tear_down_test_fixture(self):
test_case = {'my': 'case'}
test_fixture = ['foo', 'bar']
test_fixture_results = ['baz', 'qux']
test = MockedTestCase()
test_function = test._create_test_function('aaa', 'bbb', test_case, test_fixture, test_fixture_results)
test_function._last_fixture_test = True
test._all_directives[0].return_value.tear_down_test_fixture.side_effect = Error1()
with self.assertRaises(Error1):
test_function(test)
test.set_up_test_fixture.assert_called_once_with(test_fixture)
test.tear_down_test_fixture.assert_not_called()
test.setUp.assert_called_once_with()
test.tearDown.assert_called_once_with()
test.set_up_test_case.assert_called_once_with(test_case, test_fixture)
test.tear_down_test_case.assert_called_once_with(test_case, test_fixture)
test.set_up_test_case_action.assert_not_called()
test.tear_down_test_case_action.assert_not_called()
test._run_test_case.assert_called_once_with(test_case, test_fixture, test_fixture_results)
test._all_directives[0].return_value.set_up_test_fixture.assert_called_once_with(test_fixture)
test._all_directives[0].return_value.assert_test_fixture_results.assert_called_once_with(
test_fixture_results,
test_fixture,
)
test._all_directives[0].return_value.tear_down_test_fixture.assert_called_once_with(test_fixture)
test._all_directives[0].return_value.set_up_test_case.assert_called_once_with(test_case, test_fixture)
test._all_directives[0].return_value.tear_down_test_case.assert_called_once_with(test_case, test_fixture)
test._all_directives[0].return_value.set_up_test_case_action.assert_not_called()
test._all_directives[0].return_value.tear_down_test_case_action.assert_not_called()
test.addError.assert_not_called()
test.addFailure.assert_not_called()
| 47.460888 | 113 | 0.746002 | 6,144 | 44,898 | 4.890299 | 0.022298 | 0.154863 | 0.110764 | 0.138454 | 0.96116 | 0.955901 | 0.93886 | 0.929009 | 0.927844 | 0.925547 | 0 | 0.005558 | 0.170475 | 44,898 | 945 | 114 | 47.511111 | 0.801176 | 0.002985 | 0 | 0.838493 | 0 | 0 | 0.017613 | 0.001229 | 0 | 0 | 0 | 0 | 0.561238 | 1 | 0.034993 | false | 0.006729 | 0.009421 | 0 | 0.072678 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
5a3595e593f8a8a8085329900df84f1d77cebf29 | 8,402 | py | Python | Day15/test_window.py | lukasHD/adventofcode2019 | 409a2008de43ee70258e02de5a9aad27aa18c67a | [
"MIT"
] | null | null | null | Day15/test_window.py | lukasHD/adventofcode2019 | 409a2008de43ee70258e02de5a9aad27aa18c67a | [
"MIT"
] | null | null | null | Day15/test_window.py | lukasHD/adventofcode2019 | 409a2008de43ee70258e02de5a9aad27aa18c67a | [
"MIT"
] | null | null | null | # button_callback.py
from tkinter import Tk, Button, Message, Y, RIGHT, Frame, BOTH, LEFT
root = Tk()
# Create a button with a custom callback
def my_callback():
print("The button was clicked!") # Prints to console not the GUI
msg.configure(text=BBB)
#msg = Message(root, text=BBB)
#msg.pack()
def my_callback2():
print("The button was clicked!") # Prints to console not the GUI
msg.configure(text=AAA)
#msg = Message(root, text=AAA)
#msg.pack()
root.title("Feet to Meters")
# Create a button that will destroy the main window when clicked
# cretaing a Fra, e which can expand according
# to the size of the window
pane = Frame(root)
pane.pack(fill = BOTH, expand = True)
# button widgets which can also expand and fill
# in the parent widget entirely
print_button = Button(pane, text='BBB', command=my_callback)
print_button.pack(side = LEFT, expand = True, fill = BOTH)
print_button2 = Button(pane, text='AAA', command=my_callback2)
print_button2.pack(side = LEFT, expand = True, fill = BOTH)
exit_button = Button(pane, text='Exit Program', command=root.destroy)
exit_button.pack(side = LEFT, expand = True, fill = BOTH)
BBB = """Start Exploring
x = [-21, 19] y = [-21, 19]
███████████████████████████ ███████████████ ███████████████████████████████████████
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███ ◦ ◦ ◦ ◦ ◦ ███ ███ ◦ ███ ◦ ◦ ◦ ███ ◦ ███ ◦ ███ ◦ ███ ◦ ◦ ◦ ███ ◦ ███ ◦ ███
███ ◦ ████████████ ██████ ◦ ███ ◦ █████████ ◦ ███ ◦ ███ ◦ █████████ ◦ ███ ◦ ███ ◦ ███
███ ◦ ◦ ◦ ◦ ◦ ███ ███ ◦ ◦ ◦ ███ ◦ ███ ◦ ◦ ◦ ███ ◦ ███ ◦ ◦ ◦ ███ ◦ ███ ◦ ███ ◦ ███
████████████ ◦ █████████ ◦ ██████ ◦ █████████ ◦ ███ ◦ █████████ ◦ ███████████████ ◦ ███ ◦ ███ ◦ ███
███ ◦ ◦ ◦ ◦ ◦ ███ ◦ ◦ ◦ ███ ◦ ███ ◦ ███ ◦ ◦ ◦ ███ ◦ ███ ◦ ◦ ◦ ███ ◦ ███ ◦ ◦ ◦ ███
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None"""
AAA = """Start Exploring
x = [-21, 19] y = [-21, 19]
███████████████████████████ ███████████████ ███████████████████████████████████████
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███ █████████ █████████ █████████ ███████████████ █████████
None"""
msg = Message(root, text=AAA)
# Font is a tuple of (font_family, size_in_points, style_modifier_string)
msg.config(font=('Consolas', 10, ''))
msg.pack()
root.mainloop() | 68.308943 | 126 | 0.121043 | 1,719 | 8,402 | 2.920884 | 0.057592 | 0.166102 | 0.277833 | 0.166102 | 0.818363 | 0.790878 | 0.786696 | 0.778331 | 0.751842 | 0.740888 | 0 | 0.004207 | 0.377529 | 8,402 | 123 | 127 | 68.308943 | 0.187189 | 0.057248 | 0 | 0.549451 | 0 | 0.406593 | 0.899077 | 0.055394 | 0 | 0 | 0 | 0 | 0 | 1 | 0.021978 | false | 0 | 0.010989 | 0 | 0.032967 | 0.065934 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 |
5a408d7b6b24a284c504d52853d8f2bce0d37a51 | 529 | py | Python | problems/counting-bits/solution.py | tonymontaro/leetcode-hints | 678df921f9a1322454c1e52d3723a448b4bbb135 | [
"MIT"
] | 1 | 2020-09-09T08:22:40.000Z | 2020-09-09T08:22:40.000Z | problems/counting-bits/solution.py | tonymontaro/leetcode-hints | 678df921f9a1322454c1e52d3723a448b4bbb135 | [
"MIT"
] | null | null | null | problems/counting-bits/solution.py | tonymontaro/leetcode-hints | 678df921f9a1322454c1e52d3723a448b4bbb135 | [
"MIT"
] | null | null | null | class Solution:
def countBits(self, num: int):
"""O(n) time and space"""
result = [0] * (num + 1)
for i in range(1, num+1):
result[i] = result[i//2]
if i % 2 == 1: result[i] += 1
return result
# Bit solution
class Solution:
def countBits(self, num: int):
"""O(n) time and space"""
result = [0] * (num + 1)
for i in range(1, num+1):
result[i] = result[i >> 1]
if i % 2 == 1: result[i] += 1
return result
| 26.45 | 41 | 0.459357 | 76 | 529 | 3.197368 | 0.302632 | 0.17284 | 0.131687 | 0.205761 | 0.946502 | 0.946502 | 0.946502 | 0.946502 | 0.946502 | 0.740741 | 0 | 0.04908 | 0.383743 | 529 | 19 | 42 | 27.842105 | 0.696319 | 0.100189 | 0 | 0.857143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0 | 0 | 0.428571 | 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 |
5a5972df60ad24927fa54e514ae08631669413bc | 64,267 | py | Python | Sapphire/Parse1Expression.py | Rhodolite/Parser-py | 7743799794d92aa8560db11f1d6d5f00e5ac1925 | [
"MIT"
] | null | null | null | Sapphire/Parse1Expression.py | Rhodolite/Parser-py | 7743799794d92aa8560db11f1d6d5f00e5ac1925 | [
"MIT"
] | null | null | null | Sapphire/Parse1Expression.py | Rhodolite/Parser-py | 7743799794d92aa8560db11f1d6d5f00e5ac1925 | [
"MIT"
] | null | null | null | #
# Copyright (c) 2017 Joy Diamond. All rights reserved.
#
@gem('Sapphire.Parse1Expression')
def gem():
require_gem('Sapphire.TernaryExpression')
require_gem('Sapphire.UnaryExpression')
show = 0
#
# 3. Postfix-Expression (Python 2.7.14rc1 grammer calls this 'trailer')
#
# postfix-expression
# : atom
# | dot-expression
# | call-expression
# | method-call-expression
# | index-expression
#
# dot-expression
# : postfix-expression '.' name
#
# call-expression
# : postfix-expression '(' ] ')'
# : postfix-expression '(' argument-list ')'
#
# method-call-expression
# : postfix-expression '.' name '(' ')'
# | postfix-expression '.' name '(' argument-list ')'
#
# index-expression
# : postfix-expression '[' ']'
# | postfix-expression '[' subscript-list ']'
#
# subscript-list
# : subscript
# | subscript-list ',' subscript
#
# subscript
# : '.' '.' '.'
# | ternary-expression
# | ternary-expression ':'
# | ':' ternary-expression
# | [ternary-expression] ':' [ternary-expression] ':' [ternary-expression]
#
@share
def parse1_postfix_expression__left_operator(left, operator, indentation = 0):
assert operator.is_postfix_operator
while 7 is 7:
assert qk() is none
if operator.is_dot:
name = tokenize_name()
if qn() is not none:
return conjure_member_expression(left, conjure_dot_name(operator, name))
operator_2 = tokenize_operator()
if operator_2.is_dot:
if qn() is not none:
raise_unknown_line()
name_2 = tokenize_name()
if qn() is not none:
return conjure_member_expression(
left,
conjure_dot_name_pair(
conjure_dot_name(operator, name),
conjure_dot_name(operator_2, name_2),
),
)
operator_3 = tokenize_operator()
if operator_3.is_dot:
if qn() is not none:
raise_unknown_line()
name_3 = tokenize_name()
if qn() is not none:
return conjure_member_expression(
left,
conjure_dot_name_triplet(
conjure_dot_name(operator, name),
conjure_dot_name(operator_2, name_2),
conjure_dot_name(operator_3, name_3),
),
)
operator_4 = tokenize_operator()
if operator_4.is_dot:
if qn() is not none:
raise_unknown_line()
name_4 = tokenize_name()
left = conjure_member_expression(
left,
conjure_dot_name_quadruplet(
conjure_dot_name(operator, name),
conjure_dot_name(operator_2, name_2),
conjure_dot_name(operator_3, name_3),
conjure_dot_name(operator_4, name_4),
),
)
if qn() is not none:
return left
operator_5 = tokenize_operator()
if not operator_5.is_postfix_operator:
wk(operator_5)
return left
operator = operator_5
else:
left = conjure_member_expression(
left,
conjure_dot_name_triplet(
conjure_dot_name(operator, name),
conjure_dot_name(operator_2, name_2),
conjure_dot_name(operator_3, name_3),
),
)
if not operator_4.is_postfix_operator:
wk(operator_4)
return left
operator = operator_4
else:
left = conjure_member_expression(
left,
conjure_dot_name_pair(
conjure_dot_name(operator, name),
conjure_dot_name(operator_2, name_2),
),
)
if not operator_3.is_postfix_operator:
wk(operator_3)
return left
operator = operator_3
else:
left = conjure_member_expression(left, conjure_dot_name(operator, name))
if not operator_2.is_postfix_operator:
wk(operator_2)
return left
operator = operator_2
if operator.is__arguments_0__or__left_parenthesis:
if operator.is_left_parenthesis:
assert qd() > 0
assert qn() is none
operator = parse1_arguments__left_parenthesis(operator)
newline = qn()
if (indentation is not 0) and (newline is not none) and (qk() is none):
wn(none)
return left.call_statement(conjure_vw_frill(indentation, newline), left, operator)
left = left.call_expression(left, operator)
operator = qk()
if operator is not none:
if not operator.is_postfix_operator:
return left
wk(none)
else:
if newline is not none:
return left
operator = tokenize_operator()
if not operator.is_postfix_operator:
wk(operator)
return left
if operator.is_left_square_bracket:
if qn() is not none:
raise_unknown_line()
middle = parse1_atom()
if middle.is_colon:
operator = conjure__left_square_bracket__colon(operator, middle)
elif middle.is_special_operator:
#my_line('middle: %r', middle)
raise_unknown_line()
else:
operator_2 = qk()
if operator_2 is none:
if qn() is not none:
raise_unknown_line()
operator_2 = tokenize_operator()
else:
wk(none)
if not operator_2.is_end_of_ternary_expression:
middle = parse1_ternary_expression__X__any_expression(middle, operator_2)
operator_2 = qk()
if operator_2 is none:
raise_unknown_line()
wk(none)
if operator_2.is_right_square_bracket:
left = conjure_index_expression(left, conjure_normal_index(operator, middle, operator_2))
elif operator_2.is_colon:
if qn() is not none:
raise_unknown_line()
middle_2 = parse1_atom()
if middle_2.is_right_square_bracket:
left = conjure_index_expression(
left,
conjure_head_index(
operator,
middle,
conjure__colon__right_square_bracket(operator_2, middle_2),
),
)
elif middle_2.is_special_operator:
raise_unknown_line()
else:
operator_3 = qk()
if operator_3 is none:
if qn() is not none:
raise_unknown_line()
operator_3 = tokenize_operator()
else:
wk(none)
if not operator_3.is_end_of_ternary_expression:
middle_2 = parse1_ternary_expression__X__any_expression(middle_2, operator_3)
operator_3 = qk()
if operator_3 is none:
raise_unknown_line()
wk(none)
if not operator_3.is_right_square_bracket:
raise_unknown_line()
left = conjure_index_expression(
left,
conjure_range_index(operator, middle, operator_2, middle_2, operator_3),
)
elif operator_2.is_colon__right_square_bracket:
left = conjure_index_expression(left, conjure_head_index(operator, middle, operator_2))
else:
my_line('operator_2: %r', operator_2)
raise_unknown_line()
if qn() is not none:
return left
operator = qk()
if operator is not none:
if not operator.is_postfix_operator:
return left
wk(none)
else:
if qn() is not none:
return left
operator = tokenize_operator()
if not operator.is_postfix_operator:
wk(operator)
return left
if operator.is_tail_index:
middle_2 = parse1_atom()
if middle_2.is_right_square_bracket:
operator = conjure_all_index(operator.a, operator.b, middle_2)
elif middle_2.is_special_operator:
raise_unknown_line()
else:
operator_2 = qk()
if operator_2 is none:
if qn() is not none:
raise_unknown_line()
operator_2 = tokenize_operator()
else:
wk(none)
if not operator_2.is_right_square_bracket:
middle_2 = parse1_ternary_expression__X__any_expression(middle_2, operator_2)
operator_2 = qk()
if not operator_2.is_right_square_bracket:
raise_unknown_line()
wk(none)
left = conjure_index_expression(left, conjure_tail_index(operator, middle_2, operator_2))
if qn() is not none:
return left
operator = qk()
if operator is not none:
if not operator.is_postfix_operator:
return left
wk(none)
else:
if qn() is not none:
return left
operator = tokenize_operator()
if not operator.is_postfix_operator:
wk(operator)
return left
if operator.is_all_index:
left = conjure_index_expression(left, operator)
if qn() is not none:
return left
operator = qk()
if operator is not none:
if not operator.is_postfix_operator:
return left
wk(none)
else:
if qn() is not none:
return left
operator = tokenize_operator()
if not operator.is_postfix_operator:
wk(operator)
return left
assert operator.is_postfix_operator
raise_unknown_line()
#
# 4. Power-Expression (Python 2.7.14rc1 grammer calls this 'power')
#
# power-expression
# : postfix-expression
# | postfix-expression '**' unary-expression
#
def parse1_power_expression__left_operator(left, power_operator):
return conjure_power_expression(left, power_operator, parse1_unary_expression())
#
# 5. Unary-Expression (Python 2.7.14rc1 grammer calls this 'factor')
#
@share
def parse1_twos_complement_expression__operator(operator):
return conjure_twos_complement(operator, parse1_unary_expression())
@share
def parse1_negative_expression__operator(operator):
return conjure_negative_expression(operator, parse1_unary_expression())
def parse1_unary_expression():
left = parse1_atom()
operator = qk()
if operator is none:
newline = qn()
if qn() is not none:
return left
operator = tokenize_operator()
if qk() is not none:
raise_unknown_line()
if operator.is_end_of_unary_expression:
wk(operator)
return left
else:
if operator.is_end_of_unary_expression:
return left
wk(none)
if operator.is_postfix_operator:
left = parse1_postfix_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_unary_expression:
return left
wk(none)
if operator.is_power_operator:
left = parse1_power_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_unary_expression:
return left
wk(none)
if operator.is_power_operator:
left = parse1_power_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_unary_expression:
return left
wk(none)
raise_unknown_line()
#
# 6. Multiply-Expression (Python 2.7.14rc1 grammer calls this 'term')
#
# multiply-expression
# : unary-expression
# | multiply-expression mutiply-operator unary-expression
#
# multiply-operator
# : '*'
# | '/'
# | '%'
# | '//'
#
def parse1_multiply_expression__left_operator(left, multiply_operator):
right = parse1_unary_expression()
operator = qk()
if operator is none:
if qn() is not none:
return multiply_operator.expression_meta(left, multiply_operator, right)
operator = tokenize_operator()
if operator.is_end_of_multiply_expression:
wk(operator)
return multiply_operator.expression_meta(left, multiply_operator, right)
else:
if operator.is_end_of_multiply_expression:
return multiply_operator.expression_meta(left, multiply_operator, right)
wk(none)
if not operator.is_multiply_operator:
raise_unknown_line()
many = [left, right]
many_frill = [multiply_operator, operator]
while 7 is 7:
many.append(parse1_unary_expression())
operator = qk()
if operator is none:
if qn() is not none:
break
operator = tokenize_operator()
if operator.is_end_of_multiply_expression:
wk(operator)
break
else:
if operator.is_end_of_multiply_expression:
break
wk(none)
if not operator.is_multiply_operator:
raise_unknown_line()
many.append(operator)
return conjure_multiply_expression_many(many, many_frill)
def parse1_multiply_expression():
left = parse1_atom()
operator = qk()
if operator is not none:
if operator.is_end_of_multiply_expression:
return left
wk(none)
else:
if qn() is not none:
return left
operator = tokenize_operator()
if operator.is_end_of_multiply_expression:
wk(operator)
return left
if operator.is_postfix_operator:
left = parse1_postfix_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_multiply_expression:
return left
wk(none)
if operator.is_power_operator:
left = parse1_power_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_multiply_expression:
return left
wk(none)
if operator.is_multiply_operator:
return parse1_multiply_expression__left_operator(left, operator)
#my_line('left: %r; operator: %r; s: %s', left, operator, portray_string(qs()[qj():]))
raise_unknown_line()
#
# 7. Arithmetic-Expression (Python 2.7.14rc1 grammer calls this 'arith_expr')
#
def parse1_arithmetic_expression__left_operator(left, add_operator):
assert add_operator.is_arithmetic_operator
right = parse1_multiply_expression()
operator = qk()
if operator is none:
if qn() is not none:
return add_operator.expression_meta(left, add_operator, right)
operator = tokenize_operator()
if operator.is_end_of_arithmetic_expression:
wk(operator)
return add_operator.expression_meta(left, add_operator, right)
else:
if operator.is_end_of_arithmetic_expression:
return add_operator.expression_meta(left, add_operator, right)
wk(none)
if not operator.is_arithmetic_operator:
raise_unknown_line()
many = [left, right]
many_frill = [add_operator, operator]
while 7 is 7:
many.append(parse1_multiply_expression())
operator = qk()
if operator is none:
if qn() is not none:
break
operator = tokenize_operator()
if operator.is_end_of_arithmetic_expression:
wk(operator)
break
else:
if operator.is_end_of_arithmetic_expression:
break
wk(none)
if not operator.is_arithmetic_operator:
raise_unknown_line()
many_frill.append(operator)
return conjure_arithmetic_expression_many(many, many_frill)
def parse1_arithmetic_expression():
left = parse1_atom()
operator = qk()
if operator is not none:
if operator.is_end_of_arithmetic_expression:
return left
wk(none)
else:
if qn() is not none:
return left
operator = tokenize_operator()
if operator.is_end_of_arithmetic_expression:
wk(operator)
return left
if operator.is_postfix_operator:
left = parse1_postfix_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_arithmetic_expression:
return left
wk(none)
if operator.is_power_operator:
left = parse1_power_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_arithmetic_expression:
return left
wk(none)
if operator.is_multiply_operator:
left = parse1_multiply_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_arithmetic_expression:
return left
wk(none)
if operator.is_arithmetic_operator:
return parse1_arithmetic_expression__left_operator(left, operator)
#my_line('left: %r; operator: %r; s: %s', left, operator, portray_string(qs()[qj():]))
raise_unknown_line()
#
# j. Shift-Expression (Python 2.7.14rc1 grammer calls this 'shift_expr')
#
#
# 9. Logical-And-Expression (Python 2.7.14rc1 grammer calls this 'and_expr')
#
def parse1_logical_and_expression__left_operator(left, logical_and_operator):
assert logical_and_operator.is_logical_and_operator
right = parse1_arithmetic_expression()
operator = qk()
if operator is none:
if qn() is not none:
return conjure_logical_and_expression(left, logical_and_operator, right)
operator = tokenize_operator()
if operator.is_end_of_logical_and_expression:
wk(operator)
return conjure_logical_and_expression(left, logical_and_operator, right)
else:
if operator.is_end_of_logical_and_expression:
return conjure_logical_and_expression(left, logical_and_operator, right)
wk(none)
if not operator.is_logical_and_operator:
raise_unknown_line()
many = [left, logical_and_operator, right, operator]
while 7 is 7:
many.append(parse1_arithmetic_expression())
operator = qk()
if operator is none:
if qn() is not none:
return LogicalAndExpression_Many(Tuple(many))
operator = tokenize_operator()
if operator.is_end_of_logical_and_expression:
wk(operator)
return LogicalAndExpression_Many(Tuple(many))
else:
if operator.is_end_of_logical_and_expression:
return LogicalAndExpression_Many(Tuple(many))
wk(none)
if not operator.is_logical_and_operator:
raise_unknown_line()
many.append(operator)
@share
def parse1_logical_and_expression():
left = parse1_atom()
operator = qk()
if operator is not none:
if operator.is_end_of_logical_and_expression:
return left
wk(none)
else:
if qn() is not none:
return left
operator = tokenize_operator()
if operator.is_end_of_logical_and_expression:
wk(operator)
return left
if operator.is_postfix_operator:
left = parse1_postfix_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_logical_and_expression:
return left
wk(none)
if operator.is_power_operator:
left = parse1_power_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_logical_and_expression:
return left
wk(none)
if operator.is_multiply_operator:
left = parse1_multiply_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_logical_and_expression:
return left
wk(none)
if operator.is_arithmetic_operator:
left = parse1_arithmetic_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_logical_and_expression:
return left
wk(none)
if operator.is_logical_and_operator:
return parse1_logical_and_expression__left_operator(left, operator)
#my_line('left: %r; operator: %r; s: %s', left, operator, portray_string(qs()[qj():]))
raise_unknown_line()
#
# 10. Logical-Exclusive-Or-Expression (Python 2.7.14rc1 grammer calls this 'xor_expr')
#
#
# 11. Normal-Expression (Logical-Or) (Python 2.7.14rc1 grammer calls this 'expr')
#
def parse1_normal_expression__left_operator(left, logical_or_operator):
assert logical_or_operator.is_logical_or_operator
right = parse1_logical_and_expression()
operator = qk()
if operator is none:
if qn() is not none:
return conjure_logical_or_expression(left, logical_or_operator, right)
operator = tokenize_operator()
if operator.is_end_of_logical_or_expression:
wk(operator)
return conjure_logical_or_expression(left, logical_or_operator, right)
else:
if operator.is_end_of_logical_or_expression:
return conjure_logical_or_expression(left, logical_or_operator, right)
wk(none)
if not operator.is_logical_or_operator:
raise_unknown_line()
many = [left, right]
many_frill = [logical_or_operator, operator]
while 7 is 7:
many.append(parse1_logical_and_expression())
operator = qk()
if operator is none:
if qn() is not none:
break
operator = tokenize_operator()
if operator.is_end_of_logical_or_expression:
wk(operator)
break
else:
if operator.is_end_of_logical_or_expression:
break
wk(none)
if not operator.is_logical_or_operator:
raise_unknown_line()
many_frill.append(operator)
return conjure_logical_or_expression_many(many, many_frill)
@share
def parse1_normal_expression():
left = parse1_atom()
operator = qk()
if operator is not none:
if operator.is_end_of_logical_or_expression:
return left
wk(none)
else:
if qn() is not none:
return left
operator = tokenize_operator()
if operator.is_end_of_logical_or_expression:
wk(operator)
return left
if operator.is_postfix_operator:
left = parse1_postfix_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_logical_or_expression:
return left
wk(none)
if operator.is_power_operator:
left = parse1_power_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_logical_or_expression:
return left
wk(none)
if operator.is_multiply_operator:
left = parse1_multiply_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_logical_or_expression:
return left
wk(none)
if operator.is_arithmetic_operator:
left = parse1_arithmetic_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_logical_or_expression:
return left
wk(none)
if operator.is_logical_and_operator:
left = parse1_logical_and_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_logical_or_expression:
return left
wk(none)
if operator.is_logical_or_operator:
return parse1_normal_expression__left_operator(left, operator)
#my_line('left: %r; operator: %r; s: %s', left, operator, portray_string(qs()[qj():]))
raise_unknown_line()
#
# 12. Normal-Expression-List (Python 2.7.14rc1 grammer calls this 'exprlist')
#
@share
def parse1_normal_expression_list():
return parse1_arithmetic_expression() # Temporary until , is implemented
#
# 13. Compare-Expression (Python 2.7.14rc1 grammer calls this 'comparasion')
#
@share
def parse1_compare_expression__left_operator(left, compare_operator):
assert compare_operator.is_compare_operator
if compare_operator.is_keyword_not:
#my_line('full: %s', portray_string(qs()))
raise_unknown_line()
right = parse1_normal_expression()
operator = qk()
if operator is none:
if qn() is not none:
return compare_operator.expression_meta(left, compare_operator, right)
operator = tokenize_operator()
if operator.is_end_of_compare_expression:
wk(operator)
return compare_operator.expression_meta(left, compare_operator, right)
else:
if operator.is_end_of_compare_expression:
return compare_operator.expression_meta(left, compare_operator, right)
wk(none)
many = [left, right]
many_frill = [compare_operator, operator]
while 7 is 7:
many.append(parse1_normal_expression())
operator = qk()
if operator is none:
if qn() is not none:
break
operator = tokenize_operator()
if operator.is_end_of_compare_expression:
wk(operator)
break
else:
if operator.is_end_of_compare_expression:
break
wk(none)
many_frill.append(operator)
return conjure_compare_expression_many(many, many_frill)
def parse1_compare_expression():
assert qk() is none
left = parse1_atom()
operator = qk()
if operator is not none:
if operator.is_end_of_compare_expression:
return left
wk(none)
else:
if qn() is not none:
return left
operator = tokenize_operator()
if operator.is_end_of_compare_expression:
wk(operator)
return left
if operator.is_postfix_operator:
left = parse1_postfix_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_compare_expression:
return left
wk(none)
if operator.is_power_operator:
left = parse1_power_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_compare_expression:
return left
wk(none)
if operator.is_multiply_operator:
left = parse1_multiply_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_compare_expression:
return left
wk(none)
if operator.is_arithmetic_operator:
left = parse1_arithmetic_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_compare_expression:
return left
wk(none)
if operator.is_logical_and_operator:
left = parse1_logical_and_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_compare_expression:
return left
wk(none)
if operator.is_logical_or_operator:
left = parse1_normal_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_compare_expression:
return left
wk(none)
if operator.is_compare_operator:
return parse1_compare_expression__left_operator(left, operator)
#my_line('left: %r; operator: %r; s: %s', left, operator, portray_string(qs()[qj():]))
raise_unknown_line()
#
# 14. Not-Expression (Python 2.7.14rc1 grammer calls this 'not_test')
#
# not-expression
# : compare-expression
# | 'not' not-test
#
# NOTE [FIX IN FUTURE -- When really parsing not expressions properly]:
# Uses .is_end_of_compare_expression on purpose (there is no .is_end_of_not_expression, as it would be
# identicial to .is_end_of_compare_expression)
#
@share
def parse1_not_expression__operator(not_operator):
assert not_operator.is_keyword_not
return conjure_not_expression(not_operator, parse1_compare_expression()) # Temporary until handle 'not' atom itself
#
# 15. Boolean-And-Expression (Python 2.7.14rc1 grammer calls this 'and_test')
#
def parse1_boolean_and_expression__left_operator(left, operator):
assert operator.is_keyword_and
right = parse1_compare_expression()
operator_2 = qk()
if operator_2 is none:
if qn() is not none:
return conjure_and_expression_1(left, operator, right)
operator_2 = tokenize_operator()
if operator_2.is_end_of_boolean_and_expression:
wk(operator_2)
return conjure_and_expression_1(left, operator, right)
else:
if operator_2.is_end_of_boolean_and_expression:
return conjure_and_expression_1(left, operator, right)
wk(none)
many = [left, right]
many_frill = [operator, operator_2]
while 7 is 7:
many.append(parse1_compare_expression())
operator_7 = qk()
if operator_7 is none:
if qn() is not none:
return conjure_and_expression_many(many, many_frill)
operator_7 = tokenize_operator()
if operator_7.is_end_of_boolean_and_expression:
wk(operator_7)
return conjure_and_expression_many(many, many_frill)
else:
if operator_7.is_end_of_boolean_and_expression:
return conjure_and_expression_many(many, many_frill)
wk(none)
if not operator_7.is_keyword_and:
raise_unknown_line()
many_frill.append(operator_7)
def parse1_boolean_and_expression():
left = parse1_atom()
operator = qk()
if operator is not none:
if operator.is_end_of_boolean_and_expression:
return left
wk(none)
else:
if qn() is not none:
return left
operator = tokenize_operator()
if operator.is_end_of_boolean_and_expression:
wk(operator)
return left
if operator.is_postfix_operator:
left = parse1_postfix_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_boolean_and_expression:
return left
wk(none)
if operator.is_power_operator:
left = parse1_power_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_boolean_and_expression:
return left
wk(none)
if operator.is_multiply_operator:
left = parse1_multiply_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_boolean_and_expression:
return left
wk(none)
if operator.is_arithmetic_operator:
left = parse1_arithmetic_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_boolean_and_expression:
return left
wk(none)
if operator.is_logical_and_operator:
left = parse1_logical_and_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_boolean_and_expression:
return left
wk(none)
if operator.is_logical_or_operator:
left = parse1_normal_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_boolean_and_expression:
return left
wk(none)
if operator.is_compare_operator:
left = parse1_compare_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_boolean_and_expression:
return left
wk(none)
if operator.is_keyword_and:
return parse1_boolean_and_expression__left_operator(left, operator)
#my_line('left: %r; operator: %r; s: %s', left, operator, portray_string(qs()[qj():]))
raise_unknown_line()
#
# 16. Boolean-Or-Expression (Python 2.7.14rc1 grammer calls this 'or_test')
#
def parse1_boolean_or_expression__left_operator(left, operator):
assert operator.is_keyword_or
right = parse1_boolean_and_expression()
operator_2 = qk()
if operator_2 is none:
if qn() is not none:
return conjure_or_expression_1(left, operator, right)
operator_2 = tokenize_operator()
if operator_2.is_end_of_boolean_or_expression:
wk(operator_2)
return conjure_or_expression_1(left, operator, right)
else:
if operator_2.is_end_of_boolean_or_expression:
return conjure_or_expression_1(left, operator, right)
wk(none)
many = [left, right]
many_frill = [operator, operator_2]
while 7 is 7:
many.append(parse1_boolean_and_expression())
operator_7 = qk()
if operator_7 is none:
if qn() is not none:
break
operator_7 = tokenize_operator()
if operator_7.is_end_of_boolean_or_expression:
wk(operator_7)
break
else:
if operator_7.is_end_of_boolean_or_expression:
break
wk(none)
if not operator_7.is_keyword_or:
raise_unknown_line()
many_frill.append(operator_7)
return conjure_or_expression_many(many, many_frill)
def parse1_boolean_or_expression():
left = parse1_atom()
operator = qk()
if operator is not none:
if operator.is_end_of_boolean_or_expression:
return left
wk(none)
else:
if qn() is not none:
return left
operator = tokenize_operator()
if operator.is_end_of_boolean_or_expression:
wk(operator)
return left
if operator.is_postfix_operator:
left = parse1_postfix_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_boolean_or_expression:
return left
wk(none)
if operator.is_power_operator:
left = parse1_power_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_boolean_or_expression:
return left
wk(none)
if operator.is_multiply_operator:
left = parse1_multiply_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_boolean_or_expression:
return left
wk(none)
if operator.is_arithmetic_operator:
left = parse1_arithmetic_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_boolean_or_expression:
return left
wk(none)
if operator.is_compare_operator:
left = parse1_compare_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_boolean_or_expression:
return left
wk(none)
if operator.is_logical_and_operator:
left = parse1_logical_and_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_boolean_and_expression:
return left
wk(none)
if operator.is_logical_or_operator:
left = parse1_normal_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_boolean_or_expression:
return left
wk(none)
if operator.is_keyword_and:
left = parse1_boolean_and_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_boolean_or_expression:
return left
wk(none)
if operator.is_keyword_or:
return parse1_boolean_or_expression__left_operator(left, operator)
#my_line('left: %r; operator: %r; s: %s', left, operator, portray_string(qs()[qj():]))
raise_unknown_line()
#
# 17. Lambda-Expression (Python 2.7.14rc1 grammer calls this 'lambdef')
#
#
# 18. Ternary-Expression (Python 2.7.14rc1 grammer calls this 'test')
#
# ternary-expression
# : boolean-or-expression
# | boolean-or-expression 'if' boolean-or-expression 'else' ternary-expression
# | lambda-expression
#
# lambda-Expression
# : 'lambda' [variable-argument-list] ':' ternary-expression
#
def parse1_ternary_expression__left_operator(left, operator):
assert operator.is_keyword_if
middle = parse1_boolean_or_expression()
operator_2 = qk()
wk(none)
if not operator_2.is_keyword_else:
#my_line('left: %r; operator: %r; middle: %r; operator_2: %r; s: %s',
# left, operator, middle, operator_2, portray_string(qs()[qj():]))
raise_unknown_line()
return conjure_ternary_expression(left, operator, middle, operator_2, parse1_ternary_expression())
@share
def parse1_ternary_expression__X__any_expression(left, operator):
if operator.is_postfix_operator:
left = parse1_postfix_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_ternary_expression:
return left
wk(none)
if operator.is_power_operator:
left = parse1_power_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_ternary_expression:
return left
wk(none)
if operator.is_multiply_operator:
left = parse1_multiply_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_ternary_expression:
return left
wk(none)
if operator.is_arithmetic_operator:
left = parse1_arithmetic_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_ternary_expression:
return left
wk(none)
if operator.is_compare_operator:
left = parse1_compare_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_ternary_expression:
return left
wk(none)
if operator.is_logical_and_operator:
left = parse1_logical_and_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_ternary_expression:
return left
wk(none)
if operator.is_logical_or_operator:
left = parse1_normal_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_ternary_expression:
return left
wk(none)
if operator.is_keyword_and:
left = parse1_boolean_and_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_ternary_expression:
return left
wk(none)
if operator.is_keyword_or:
left = parse1_boolean_or_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_ternary_expression:
return left
wk(none)
if operator.is_keyword_if:
return parse1_ternary_expression__left_operator(left, operator)
#my_line('left: %r; operator: %r; s: %s', left, operator, portray_string(qs()[qj():]))
raise_unknown_line()
@share
def parse1_ternary_expression():
left = parse1_atom()
operator = qk()
if operator is not none:
if operator.is_end_of_ternary_expression:
return left
wk(none)
else:
if qn() is not none:
return left
operator = tokenize_operator()
if operator.is_end_of_ternary_expression:
wk(operator)
return left
return parse1_ternary_expression__X__any_expression(left, operator)
#
# 19. Ternary-Expression-List (Python 2.7.14rc1 grammer calls this 'testlist')
#
@share
def parse1_ternary_expression_list__X_any_expresion(left, operator):
if operator.is_postfix_operator:
left = parse1_postfix_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_ternary_expression_list:
return left
wk(none)
if operator.is_power_operator:
left = parse1_power_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_ternary_expression_list:
return left
wk(none)
if operator.is_multiply_operator:
left = parse1_multiply_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_ternary_expression_list:
return left
wk(none)
if operator.is_arithmetic_operator:
left = parse1_arithmetic_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_ternary_expression_list:
return left
wk(none)
if operator.is_logical_and_operator:
left = parse1_logical_and_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_ternary_expression_list:
return left
wk(none)
if operator.is_logical_or_operator:
left = parse1_normal_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_ternary_expression_list:
return left
wk(none)
if operator.is_compare_operator:
left = parse1_compare_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_ternary_expression_list:
return left
wk(none)
if operator.is_keyword_and:
left = parse1_boolean_and_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_ternary_expression_list:
return left
wk(none)
if operator.is_keyword_or:
left = parse1_boolean_or_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_ternary_expression_list:
return left
wk(none)
if operator.is_keyword_if:
left = parse1_ternary_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_ternary_expression_list:
return left
wk(none)
#my_line('line: %d; left: %r; operator: %r', ql(), left, operator)
raise_unknown_line()
@share
def parse1_ternary_expression_list():
left = parse1_atom()
operator = qk()
if operator is not none:
if operator.is_end_of_ternary_expression_list:
return left
wk(none)
else:
if qn() is not none:
return left
operator = tokenize_operator()
if operator.is_end_of_ternary_expression_list:
wk(operator)
return left
return parse1_ternary_expression_list__X_any_expresion(left, operator)
#
# 20. Subscript-Expression
#
#
# 21. Subscript-Expression-List
#
#
# 22. Map-Element
# 23. Map-Element
#
#
# 24. Yield-Expression
#
#
# 25. Comprehension-Expression-List (Python 2.7.14rc1 grammer calls this 'testlist_comp')
#
def parse1_comprehension_expression__left_operator(left, operator):
assert operator.is_keyword_for
while 7 is 7:
if operator.is_keyword_for:
middle = parse1_normal_expression_list()
in_operator = qk()
wk(none)
if not in_operator.is_keyword_in:
#my_line('left: %r; operator: %r; middle: %r; in_operator: %r; s: %s',
# left, operator, middle, in_operator, portray_string(qs()[qj():]))
raise_unknown_line()
left = conjure_comprehension_for(left, operator, middle, in_operator, parse1_boolean_or_expression())
operator = qk()
if (operator is none) or (operator.is_end_of_comprehension_expression_list):
return left
wk(none)
if operator.is_keyword_if:
left = conjure_comprehension_if(left, operator, parse1_boolean_or_expression())
operator = qk()
if (operator is none) or (operator.is_end_of_comprehension_expression_list):
return left
wk(none)
assert (operator.is_keyword_for) or (operator.is_keyword_if)
@share
def parse1_comprehension_expression__X__any_expression(left, operator):
if operator.is_postfix_operator:
left = parse1_postfix_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_comprehension_expression:
return left
wk(none)
if operator.is_power_operator:
left = parse1_power_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_comprehension_expression:
return left
wk(none)
if operator.is_multiply_operator:
left = parse1_multiply_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_comprehension_expression:
return left
wk(none)
if operator.is_arithmetic_operator:
left = parse1_arithmetic_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_comprehension_expression:
return left
wk(none)
if operator.is_compare_operator:
left = parse1_compare_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_comprehension_expression:
return left
wk(none)
if operator.is_logical_and_operator:
left = parse1_logical_and_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_comprehension_expression:
return left
wk(none)
if operator.is_logical_or_operator:
left = parse1_normal_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_comprehension_expression:
return left
wk(none)
if operator.is_keyword_and:
left = parse1_boolean_and_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_comprehension_expression:
return left
wk(none)
if operator.is_keyword_or:
left = parse1_boolean_or_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_comprehension_expression:
return left
wk(none)
if operator.is_keyword_if:
left = parse1_ternary_expression__left_operator(left, operator)
operator = qk()
if operator is none:
if qn() is none:
raise_unknown_line()
return left
if operator.is_end_of_comprehension_expression:
return left
wk(none)
if operator.is_keyword_for:
return parse1_comprehension_expression__left_operator(left, operator)
my_line('left: %r; operator: %r; s: %s', left, operator, portray_string(qs()[qj():]))
raise_unknown_line()
| 27.511558 | 125 | 0.521683 | 6,386 | 64,267 | 4.911369 | 0.029283 | 0.101071 | 0.10866 | 0.05213 | 0.889364 | 0.853239 | 0.834205 | 0.814501 | 0.763646 | 0.716522 | 0 | 0.011555 | 0.419624 | 64,267 | 2,335 | 126 | 27.52334 | 0.829325 | 0.070689 | 0 | 0.881805 | 0 | 0 | 0.001981 | 0.001259 | 0 | 0 | 0 | 0 | 0.011461 | 1 | 0.020774 | false | 0 | 0 | 0.002865 | 0.191977 | 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 |
5a5bd288bcfa07d59fd3dbc4da418866d417f910 | 45,733 | py | Python | src/graphql/executor/test/introspect_all_fields.py | btrekkie/graphql | 6c118550267eeb57a9653f4f46d7bbd6c5902110 | [
"MIT"
] | null | null | null | src/graphql/executor/test/introspect_all_fields.py | btrekkie/graphql | 6c118550267eeb57a9653f4f46d7bbd6c5902110 | [
"MIT"
] | null | null | null | src/graphql/executor/test/introspect_all_fields.py | btrekkie/graphql | 6c118550267eeb57a9653f4f46d7bbd6c5902110 | [
"MIT"
] | null | null | null | import unittest
from graphql.executor import GraphQlContext
from graphql.executor import GraphQlExecutor
from graphql.schema import GraphQlSchemaFactory
class GraphQlIntrospectAllFieldsTest(unittest.TestCase):
"""Tests GraphQlExecutor on an introspection query for most everything.
Tests GraphQlExecutor on an introspection query for most every piece
of information about each of the types and directives.
"""
def _convert_lists_to_sets(self, value):
"""Convert lists to sets and non-hashable values to hashable values.
Return a value that is the same as "value", but with lists
changed to frozensets and dictionaries changed to hashable
representations of themselves. The representation is
many-to-one, though our goal is that different values will
typically have different representations.
obj value - The JSON value to convert.
return obj - The representation.
"""
if isinstance(value, list):
result = []
for element in value:
result.append(self._convert_lists_to_sets(element))
return frozenset(result)
elif isinstance(value, dict):
items = []
for key in list(sorted(value.iterkeys())):
items.append((key, self._convert_lists_to_sets(value[key])))
return tuple(items)
else:
return value
def test_introspection(self):
"""Test GraphQlExecutor on an introspection query for most everything.
Test GraphQlExecutor on an introspection query for most every
piece of information about each of the types.
"""
schema = GraphQlSchemaFactory.create_from_modules(
[
'graphql.executor.test.star_wars',
'graphql.scalar_descriptors.strict'],
'Query', None)
context = GraphQlContext(schema)
result = GraphQlExecutor.execute(
'query {__schema {types {'
'kind, name, fields {'
'name, args {name, type {...TypeFields}}, isDeprecated, '
'deprecationReason, type {...TypeFields}},'
'interfaces {name}, possibleTypes {name},'
'enumValues {name, isDeprecated, deprecationReason}, '
'inputFields {name}, ofType {name}}}}'
'fragment TypeFields on __Type {'
'name, kind, ofType {name, kind, ofType {'
'name, kind, ofType {name, kind, ofType {name}}}}}',
context)
self.assertEqual(['data'], list(result.iterkeys()))
self.assertEqual(['__schema'], list(result['data'].iterkeys()))
self.assertEqual(
['types'], list(result['data']['__schema'].iterkeys()))
expected_types = [
{
'enumValues': None,
'fields': None,
'inputFields': None,
'interfaces': None,
'kind': 'SCALAR',
'name': 'Boolean',
'ofType': None,
'possibleTypes': None,
},
{
'enumValues': None,
'fields': [
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'appearsIn',
'type': {
'kind': 'LIST',
'name': None,
'ofType': {
'kind': 'ENUM',
'name': 'Episode',
'ofType': None,
},
},
},
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'friends',
'type': {
'kind': 'LIST',
'name': None,
'ofType': {
'kind': 'INTERFACE',
'name': 'Character',
'ofType': None,
},
},
},
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'id',
'type': {
'kind': 'NON_NULL',
'name': None,
'ofType': {
'kind': 'SCALAR',
'name': 'String',
'ofType': None,
},
},
},
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'name',
'type': {
'kind': 'SCALAR',
'name': 'String',
'ofType': None,
},
},
],
'inputFields': None,
'interfaces': None,
'kind': 'INTERFACE',
'name': 'Character',
'ofType': None,
'possibleTypes': [
{'name': 'Droid'},
{'name': 'Human'},
],
},
{
'enumValues': None,
'fields': [
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'appearsIn',
'type': {
'kind': 'LIST',
'name': None,
'ofType': {
'kind': 'ENUM',
'name': 'Episode',
'ofType': None,
},
},
},
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'friends',
'type': {
'kind': 'LIST',
'name': None,
'ofType': {
'kind': 'INTERFACE',
'name': 'Character',
'ofType': None,
},
},
},
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'id',
'type': {
'kind': 'NON_NULL',
'name': None,
'ofType': {
'kind': 'SCALAR',
'name': 'String',
'ofType': None,
},
},
},
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'name',
'type': {
'kind': 'SCALAR',
'name': 'String',
'ofType': None,
},
},
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'primaryFunction',
'type': {
'kind': 'SCALAR',
'name': 'String',
'ofType': None,
},
},
],
'inputFields': None,
'interfaces': [{'name': 'Character'}],
'kind': 'OBJECT',
'name': 'Droid',
'ofType': None,
'possibleTypes': None,
},
{
'enumValues': [
{
'deprecationReason': None,
'isDeprecated': False,
'name': 'NEWHOPE',
},
{
'deprecationReason': None,
'isDeprecated': False,
'name': 'EMPIRE',
},
{
'deprecationReason': None,
'isDeprecated': False,
'name': 'JEDI',
},
],
'fields': None,
'inputFields': None,
'interfaces': None,
'kind': 'ENUM',
'name': 'Episode',
'ofType': None,
'possibleTypes': None,
},
{
'enumValues': None,
'fields': None,
'inputFields': None,
'interfaces': None,
'kind': 'SCALAR',
'name': 'Float',
'ofType': None,
'possibleTypes': None,
},
{
'enumValues': None,
'fields': [
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'appearsIn',
'type': {
'kind': 'LIST',
'name': None,
'ofType': {
'kind': 'ENUM',
'name': 'Episode',
'ofType': None,
},
},
},
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'friends',
'type': {
'kind': 'LIST',
'name': None,
'ofType': {
'kind': 'INTERFACE',
'name': 'Character',
'ofType': None,
},
},
},
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'homePlanet',
'type': {
'kind': 'SCALAR',
'name': 'String',
'ofType': None,
},
},
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'id',
'type': {
'kind': 'NON_NULL',
'name': None,
'ofType': {
'kind': 'SCALAR',
'name': 'String',
'ofType': None,
},
},
},
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'name',
'type': {
'kind': 'SCALAR',
'name': 'String',
'ofType': None,
},
},
],
'inputFields': None,
'interfaces': [{'name': 'Character'}],
'kind': 'OBJECT',
'name': 'Human',
'ofType': None,
'possibleTypes': None,
},
{
'enumValues': None,
'fields': None,
'inputFields': None,
'interfaces': None,
'kind': 'SCALAR',
'name': 'ID',
'ofType': None,
'possibleTypes': None,
},
{
'enumValues': None,
'fields': None,
'inputFields': None,
'interfaces': None,
'kind': 'SCALAR',
'name': 'Int',
'ofType': None,
'possibleTypes': None,
},
{
'enumValues': None,
'fields': [
{
'args': [
{
'name': 'id',
'type': {
'kind': 'NON_NULL',
'name': None,
'ofType': {
'kind': 'SCALAR',
'name': 'String',
'ofType': None,
},
},
},
],
'deprecationReason': None,
'isDeprecated': False,
'name': 'droid',
'type': {
'kind': 'OBJECT',
'name': 'Droid',
'ofType': None,
},
},
{
'args': [
{
'name': 'episode',
'type': {
'kind': 'ENUM',
'name': 'Episode',
'ofType': None,
},
},
],
'deprecationReason': None,
'isDeprecated': False,
'name': 'hero',
'type': {
'kind': 'INTERFACE',
'name': 'Character',
'ofType': None,
},
},
{
'args': [
{
'name': 'id',
'type': {
'kind': 'NON_NULL',
'name': None,
'ofType': {
'kind': 'SCALAR',
'name': 'String',
'ofType': None,
},
},
},
],
'deprecationReason': None,
'isDeprecated': False,
'name': 'human',
'type': {
'kind': 'OBJECT',
'name': 'Human',
'ofType': None,
},
},
],
'inputFields': None,
'interfaces': [],
'kind': 'OBJECT',
'name': 'Query',
'ofType': None,
'possibleTypes': None,
},
{
'enumValues': None,
'fields': None,
'inputFields': None,
'interfaces': None,
'kind': 'SCALAR',
'name': 'String',
'ofType': None,
'possibleTypes': None,
},
{
'enumValues': None,
'fields': [
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'args',
'type': {
'kind': 'NON_NULL',
'name': None,
'ofType': {
'kind': 'LIST',
'name': None,
'ofType': {
'kind': 'NON_NULL',
'name': None,
'ofType': {
'kind': 'OBJECT',
'name': '__InputValue',
'ofType': None,
},
},
},
},
},
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'description',
'type': {
'kind': 'SCALAR',
'name': 'String',
'ofType': None,
},
},
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'locations',
'type': {
'kind': 'NON_NULL',
'name': None,
'ofType': {
'kind': 'LIST',
'name': None,
'ofType': {
'kind': 'NON_NULL',
'name': None,
'ofType': {
'kind': 'ENUM',
'name': '__DirectiveLocation',
'ofType': None,
},
},
},
},
},
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'name',
'type': {
'kind': 'NON_NULL',
'name': None,
'ofType': {
'kind': 'SCALAR',
'name': 'String',
'ofType': None,
},
},
},
],
'inputFields': None,
'interfaces': [],
'kind': 'OBJECT',
'name': '__Directive',
'ofType': None,
'possibleTypes': None,
},
{
'enumValues': [
{
'deprecationReason': None,
'isDeprecated': False,
'name': 'FIELD',
},
{
'deprecationReason': None,
'isDeprecated': False,
'name': 'FRAGMENT_DEFINITION',
},
{
'deprecationReason': None,
'isDeprecated': False,
'name': 'FRAGMENT_SPREAD',
},
{
'deprecationReason': None,
'isDeprecated': False,
'name': 'INLINE_FRAGMENT',
},
{
'deprecationReason': None,
'isDeprecated': False,
'name': 'MUTATION',
},
{
'deprecationReason': None,
'isDeprecated': False,
'name': 'QUERY',
},
{
'deprecationReason': None,
'isDeprecated': False,
'name': 'SUBSCRIPTION',
},
],
'fields': None,
'inputFields': None,
'interfaces': None,
'kind': 'ENUM',
'name': '__DirectiveLocation',
'ofType': None,
'possibleTypes': None,
},
{
'enumValues': None,
'fields': [
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'deprecationReason',
'type': {
'kind': 'SCALAR',
'name': 'String',
'ofType': None,
},
},
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'description',
'type': {
'kind': 'SCALAR',
'name': 'String',
'ofType': None,
},
},
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'isDeprecated',
'type': {
'kind': 'NON_NULL',
'name': None,
'ofType': {
'kind': 'SCALAR',
'name': 'Boolean',
'ofType': None,
},
},
},
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'name',
'type': {
'kind': 'NON_NULL',
'name': None,
'ofType': {
'kind': 'SCALAR',
'name': 'String',
'ofType': None,
},
},
},
],
'inputFields': None,
'interfaces': [],
'kind': 'OBJECT',
'name': '__EnumValue',
'ofType': None,
'possibleTypes': None,
},
{
'enumValues': None,
'fields': [
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'args',
'type': {
'kind': 'NON_NULL',
'name': None,
'ofType': {
'kind': 'LIST',
'name': None,
'ofType': {
'kind': 'NON_NULL',
'name': None,
'ofType': {
'kind': 'OBJECT',
'name': '__InputValue',
'ofType': None,
},
},
},
},
},
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'deprecationReason',
'type': {
'kind': 'SCALAR',
'name': 'String',
'ofType': None,
},
},
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'description',
'type': {
'kind': 'SCALAR',
'name': 'String',
'ofType': None,
},
},
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'isDeprecated',
'type': {
'kind': 'NON_NULL',
'name': None,
'ofType': {
'kind': 'SCALAR',
'name': 'Boolean',
'ofType': None,
},
},
},
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'name',
'type': {
'kind': 'NON_NULL',
'name': None,
'ofType': {
'kind': 'SCALAR',
'name': 'String',
'ofType': None,
},
},
},
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'type',
'type': {
'kind': 'NON_NULL',
'name': None,
'ofType': {
'kind': 'OBJECT',
'name': '__Type',
'ofType': None,
},
},
},
],
'inputFields': None,
'interfaces': [],
'kind': 'OBJECT',
'name': '__Field',
'ofType': None,
'possibleTypes': None,
},
{
'enumValues': None,
'fields': [
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'defaultValue',
'type': {
'kind': 'SCALAR',
'name': 'String',
'ofType': None,
},
},
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'description',
'type': {
'kind': 'SCALAR',
'name': 'String',
'ofType': None,
},
},
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'name',
'type': {
'kind': 'NON_NULL',
'name': None,
'ofType': {
'kind': 'SCALAR',
'name': 'String',
'ofType': None,
},
},
},
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'type',
'type': {
'kind': 'NON_NULL',
'name': None,
'ofType': {
'kind': 'OBJECT',
'name': '__Type',
'ofType': None,
},
},
},
],
'inputFields': None,
'interfaces': [],
'kind': 'OBJECT',
'name': '__InputValue',
'ofType': None,
'possibleTypes': None,
},
{
'enumValues': None,
'fields': [
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'directives',
'type': {
'kind': 'NON_NULL',
'name': None,
'ofType': {
'kind': 'LIST',
'name': None,
'ofType': {
'kind': 'NON_NULL',
'name': None,
'ofType': {
'kind': 'OBJECT',
'name': '__Directive',
'ofType': None,
},
},
},
},
},
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'mutationType',
'type': {
'kind': 'OBJECT',
'name': '__Type',
'ofType': None,
},
},
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'queryType',
'type': {
'kind': 'NON_NULL',
'name': None,
'ofType': {
'kind': 'OBJECT',
'name': '__Type',
'ofType': None,
},
},
},
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'subscriptionType',
'type': {
'kind': 'OBJECT',
'name': '__Type',
'ofType': None,
},
},
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'types',
'type': {
'kind': 'NON_NULL',
'name': None,
'ofType': {
'kind': 'LIST',
'name': None,
'ofType': {
'kind': 'NON_NULL',
'name': None,
'ofType': {
'kind': 'OBJECT',
'name': '__Type',
'ofType': None,
},
},
},
},
},
],
'inputFields': None,
'interfaces': [],
'kind': 'OBJECT',
'name': '__Schema',
'ofType': None,
'possibleTypes': None,
},
{
'enumValues': None,
'fields': [
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'description',
'type': {
'kind': 'SCALAR',
'name': 'String',
'ofType': None,
},
},
{
'args': [
{
'name': 'includeDeprecated',
'type': {
'kind': 'SCALAR',
'name': 'Boolean',
'ofType': None,
},
},
],
'deprecationReason': None,
'isDeprecated': False,
'name': 'enumValues',
'type': {
'kind': 'LIST',
'name': None,
'ofType': {
'kind': 'NON_NULL',
'name': None,
'ofType': {
'kind': 'OBJECT',
'name': '__EnumValue',
'ofType': None,
},
},
},
},
{
'args': [
{
'name': 'includeDeprecated',
'type': {
'kind': 'SCALAR',
'name': 'Boolean',
'ofType': None,
},
},
],
'deprecationReason': None,
'isDeprecated': False,
'name': 'fields',
'type': {
'kind': 'LIST',
'name': None,
'ofType': {
'kind': 'NON_NULL',
'name': None,
'ofType': {
'kind': 'OBJECT',
'name': '__Field',
'ofType': None,
},
},
},
},
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'inputFields',
'type': {
'kind': 'LIST',
'name': None,
'ofType': {
'kind': 'NON_NULL',
'name': None,
'ofType': {
'kind': 'OBJECT',
'name': '__InputValue',
'ofType': None,
},
},
},
},
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'interfaces',
'type': {
'kind': 'LIST',
'name': None,
'ofType': {
'kind': 'NON_NULL',
'name': None,
'ofType': {
'kind': 'OBJECT',
'name': '__Type',
'ofType': None,
},
},
},
},
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'kind',
'type': {
'kind': 'NON_NULL',
'name': None,
'ofType': {
'kind': 'ENUM',
'name': '__TypeKind',
'ofType': None,
},
},
},
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'name',
'type': {
'kind': 'SCALAR',
'name': 'String',
'ofType': None,
},
},
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'ofType',
'type': {
'kind': 'OBJECT',
'name': '__Type',
'ofType': None,
},
},
{
'args': [],
'deprecationReason': None,
'isDeprecated': False,
'name': 'possibleTypes',
'type': {
'kind': 'LIST',
'name': None,
'ofType': {
'kind': 'NON_NULL',
'name': None,
'ofType': {
'kind': 'OBJECT',
'name': '__Type',
'ofType': None,
},
},
},
},
],
'inputFields': None,
'interfaces': [],
'kind': 'OBJECT',
'name': '__Type',
'ofType': None,
'possibleTypes': None,
},
{
'enumValues': [
{
'deprecationReason': None,
'isDeprecated': False,
'name': 'ENUM',
},
{
'deprecationReason': None,
'isDeprecated': False,
'name': 'INPUT_OBJECT',
},
{
'deprecationReason': None,
'isDeprecated': False,
'name': 'INTERFACE',
},
{
'deprecationReason': None,
'isDeprecated': False,
'name': 'LIST',
},
{
'deprecationReason': None,
'isDeprecated': False,
'name': 'NON_NULL',
},
{
'deprecationReason': None,
'isDeprecated': False,
'name': 'OBJECT',
},
{
'deprecationReason': None,
'isDeprecated': False,
'name': 'SCALAR',
},
{
'deprecationReason': None,
'isDeprecated': False,
'name': 'UNION',
},
],
'fields': None,
'inputFields': None,
'interfaces': None,
'kind': 'ENUM',
'name': '__TypeKind',
'ofType': None,
'possibleTypes': None,
},
]
self.assertEqual(
self._convert_lists_to_sets(expected_types),
self._convert_lists_to_sets(result['data']['__schema']['types']))
def test_directive_introspection(self):
"""Test GraphQlExecutor on an introspection query for directives.
Test GraphQlExecutor on an introspection query for most every
piece of information about each of the directives.
"""
schema = GraphQlSchemaFactory.create_from_modules([
'graphql.executor.test.star_wars',
'graphql.scalar_descriptors.strict'])
context = GraphQlContext(schema)
result = GraphQlExecutor.execute(
'query {__schema {directives {'
'name, locations, args {'
'name, type {name, kind, ofType {name, kind, ofType {'
'name, kind, ofType {name, kind}}}}}}}}',
context)
self.assertEqual(['data'], list(result.iterkeys()))
self.assertEqual(['__schema'], list(result['data'].iterkeys()))
self.assertEqual(
['directives'], list(result['data']['__schema'].iterkeys()))
expected_directives = [
{
'args': [
{
'name': 'if',
'type': {
'kind': 'NON_NULL',
'name': None,
'ofType': {
'kind': 'SCALAR',
'name': 'Boolean',
'ofType': None,
},
},
},
],
'locations': [
'FIELD',
'FRAGMENT_DEFINITION',
'FRAGMENT_SPREAD',
'INLINE_FRAGMENT',
],
'name': 'include',
},
{
'args': [
{
'name': 'if',
'type': {
'kind': 'NON_NULL',
'name': None,
'ofType': {
'kind': 'SCALAR',
'name': 'Boolean',
'ofType': None,
},
},
},
],
'locations': [
'FIELD',
'FRAGMENT_DEFINITION',
'FRAGMENT_SPREAD',
'INLINE_FRAGMENT',
],
'name': 'skip',
},
]
self.assertEqual(
self._convert_lists_to_sets(expected_directives),
self._convert_lists_to_sets(
result['data']['__schema']['directives']))
| 38.110833 | 78 | 0.246605 | 1,845 | 45,733 | 6.029268 | 0.082927 | 0.066523 | 0.198759 | 0.228875 | 0.864257 | 0.81877 | 0.771575 | 0.763664 | 0.710805 | 0.682039 | 0 | 0 | 0.649181 | 45,733 | 1,199 | 79 | 38.142619 | 0.693343 | 0.020991 | 0 | 0.664953 | 0 | 0 | 0.182055 | 0.002868 | 0 | 0 | 0 | 0 | 0.006855 | 1 | 0.002571 | false | 0 | 0.003428 | 0 | 0.009426 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 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 | 9 |
ce53cfe9ac19ca4bbb15a20e3e7c92dae69f043b | 125,337 | py | Python | sdk/storage/azure-storage-blob/tests/test_blob_access_conditions_async.py | praveenkuttappan/azure-sdk-for-python | 4b79413667b7539750a6c7dde15737013a3d4bd5 | [
"MIT"
] | 2,728 | 2015-01-09T10:19:32.000Z | 2022-03-31T14:50:33.000Z | sdk/storage/azure-storage-blob/tests/test_blob_access_conditions_async.py | v-xuto/azure-sdk-for-python | 9c6296d22094c5ede410bc83749e8df8694ccacc | [
"MIT"
] | 17,773 | 2015-01-05T15:57:17.000Z | 2022-03-31T23:50:25.000Z | sdk/storage/azure-storage-blob/tests/test_blob_access_conditions_async.py | v-xuto/azure-sdk-for-python | 9c6296d22094c5ede410bc83749e8df8694ccacc | [
"MIT"
] | 1,916 | 2015-01-19T05:05:41.000Z | 2022-03-31T19:36:44.000Z | # coding: utf-8
# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------------
import pytest
import asyncio
from datetime import datetime, timedelta
import os
import unittest
from devtools_testutils import ResourceGroupPreparer, StorageAccountPreparer
from azure.core import MatchConditions
from azure.core.exceptions import HttpResponseError, ResourceNotFoundError, ResourceModifiedError
from azure.core.pipeline.transport import AioHttpTransport
from multidict import CIMultiDict, CIMultiDictProxy
from azure.storage.blob import (
StorageErrorCode,
BlobBlock,
BlobType,
ContentSettings,
BlobProperties,
ContainerSasPermissions,
AccessPolicy, generate_account_sas, ResourceTypes, AccountSasPermissions, generate_blob_sas, BlobSasPermissions,
generate_container_sas, CustomerProvidedEncryptionKey,
)
from fake_credentials import CPK_KEY_HASH, CPK_KEY_VALUE
from settings.testcase import BlobPreparer
from devtools_testutils.storage.aio import AsyncStorageTestCase
from azure.storage.blob.aio import (
BlobServiceClient,
ContainerClient,
BlobClient,
BlobLeaseClient,
)
# ------------------------------------------------------------------------------
LARGE_APPEND_BLOB_SIZE = 64 * 1024
# ------------------------------------------------------------------------------
class AiohttpTestTransport(AioHttpTransport):
"""Workaround to vcrpy bug: https://github.com/kevin1024/vcrpy/pull/461
"""
async def send(self, request, **config):
response = await super(AiohttpTestTransport, self).send(request, **config)
if not isinstance(response.headers, CIMultiDictProxy):
response.headers = CIMultiDictProxy(CIMultiDict(response.internal_response.headers))
response.content_type = response.headers.get("content-type")
return response
class StorageBlobAccessConditionsAsyncTest(AsyncStorageTestCase):
def _setup(self):
self.container_name = self.get_resource_name('utcontainer')
# --Helpers-----------------------------------------------------------------
async def _create_container(self, container_name, bsc):
container = bsc.get_container_client(container_name)
await container.create_container()
return container
async def _create_container_and_block_blob(self, container_name, blob_name, blob_data, bsc):
container = await self._create_container(container_name, bsc)
blob = bsc.get_blob_client(container_name, blob_name)
resp = await blob.upload_blob(blob_data, length=len(blob_data))
self.assertIsNotNone(resp.get('etag'))
return container, blob
async def _create_container_and_page_blob(self, container_name, blob_name, content_length, bsc):
container = await self._create_container(container_name, bsc)
blob = bsc.get_blob_client(container_name, blob_name)
resp = await blob.create_page_blob(str(content_length))
return container, blob
async def _create_container_and_append_blob(self, container_name, blob_name, bsc):
container = await self._create_container(container_name, bsc)
blob = bsc.get_blob_client(container_name, blob_name)
resp = await blob.create_append_blob()
return container, blob
# --Test cases for blob service --------------------------------------------
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_get_blob_service_client_from_container(
self, storage_account_name, storage_account_key):
bsc1 = BlobServiceClient(
self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024)
self._setup()
container_client1 = await self._create_container(self.container_name, bsc1)
await container_client1.get_container_properties()
test_datetime = (datetime.utcnow() - timedelta(minutes=15))
# Act
metadata = {'hello': 'world', 'number': '43'}
# Set metadata to check against later
await container_client1.set_container_metadata(metadata, if_modified_since=test_datetime)
# Assert metadata is set
cc1_props = await container_client1.get_container_properties()
cc1_md1 = cc1_props.metadata
self.assertDictEqual(metadata, cc1_md1)
# Get blob service client from container client
bsc_props1 = await bsc1.get_service_properties()
bsc2 = container_client1._get_blob_service_client()
bsc_props2 = await bsc2.get_service_properties()
self.assertDictEqual(bsc_props1, bsc_props2)
# Return to container and assert its properties
container_client2 = bsc2.get_container_client(self.container_name)
cc2_props = await container_client2.get_container_properties()
cc2_md1 = cc2_props.metadata
self.assertDictEqual(cc2_md1, cc1_md1)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_get_container_client_from_blob(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(
self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024)
self._setup()
container_client1 = await self._create_container(self.container_name, bsc)
test_datetime = (datetime.utcnow() - timedelta(minutes=15))
# Act
metadata = {'hello': 'world', 'number': '43'}
# Set metadata to check against later
await container_client1.set_container_metadata(metadata, if_modified_since=test_datetime)
# Assert metadata is set
props1 = await container_client1.get_container_properties()
md1 = props1.metadata
self.assertDictEqual(metadata, md1)
# Create a blob from container_client1
blob_name = self.get_resource_name("testblob1")
blob_client1 = container_client1.get_blob_client(blob_name)
# Upload data to blob and get container_client again
await blob_client1.upload_blob(b"this is test data")
downloaded_blob1 = await blob_client1.download_blob()
blob_client1_data = await downloaded_blob1.readall()
container_client2 = blob_client1._get_container_client()
props2 = await container_client2.get_container_properties()
md2 = props2.metadata
self.assertEqual(md1, md2)
# Ensure we can get blob client again
blob_client2 = container_client2.get_blob_client(blob_name)
downloaded_blob2 = await blob_client2.download_blob()
blob_client2_data = await downloaded_blob2.readall()
self.assertEqual(blob_client1_data, blob_client2_data)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_set_container_metadata_with_if_modified(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container = await self._create_container(self.container_name, bsc)
test_datetime = (datetime.utcnow() -
timedelta(minutes=15))
# Act
metadata = {'hello': 'world', 'number': '43'}
await container.set_container_metadata(metadata, if_modified_since=test_datetime)
# Assert
md = (await container.get_container_properties()).metadata
self.assertDictEqual(metadata, md)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_set_container_md_with_if_modified_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container = await self._create_container(self.container_name, bsc)
test_datetime = (datetime.utcnow() +
timedelta(minutes=15))
# Act
with self.assertRaises(ResourceModifiedError) as e:
metadata = {'hello': 'world', 'number': '43'}
await container.set_container_metadata(metadata, if_modified_since=test_datetime)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_set_container_acl_with_if_modified(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container = await self._create_container(self.container_name, bsc)
test_datetime = (datetime.utcnow() -
timedelta(minutes=15))
# Act
access_policy = AccessPolicy(permission=ContainerSasPermissions(read=True),
expiry=datetime.utcnow() + timedelta(hours=1),
start=datetime.utcnow())
signed_identifiers = {'testid': access_policy}
await container.set_container_access_policy(signed_identifiers, if_modified_since=test_datetime)
# Assert
acl = await container.get_container_access_policy()
self.assertIsNotNone(acl)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_set_container_acl_with_if_modified_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container = await self._create_container(self.container_name, bsc)
test_datetime = (datetime.utcnow() +
timedelta(minutes=15))
# Act
access_policy = AccessPolicy(permission=ContainerSasPermissions(read=True),
expiry=datetime.utcnow() + timedelta(hours=1),
start=datetime.utcnow())
signed_identifiers = {'testid': access_policy}
with self.assertRaises(ResourceModifiedError) as e:
await container.set_container_access_policy(signed_identifiers, if_modified_since=test_datetime)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_set_container_acl_with_if_unmodified(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container = await self._create_container(self.container_name, bsc)
test_datetime = (datetime.utcnow() +
timedelta(minutes=15))
# Act
access_policy = AccessPolicy(permission=ContainerSasPermissions(read=True),
expiry=datetime.utcnow() + timedelta(hours=1),
start=datetime.utcnow())
signed_identifiers = {'testid': access_policy}
await container.set_container_access_policy(signed_identifiers, if_unmodified_since=test_datetime)
# Assert
acl = await container.get_container_access_policy()
self.assertIsNotNone(acl)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_set_container_acl_with_if_unmodified_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container = await self._create_container(self.container_name, bsc)
test_datetime = (datetime.utcnow() -
timedelta(minutes=15))
# Act
access_policy = AccessPolicy(permission=ContainerSasPermissions(read=True),
expiry=datetime.utcnow() + timedelta(hours=1),
start=datetime.utcnow())
signed_identifiers = {'testid': access_policy}
with self.assertRaises(ResourceModifiedError) as e:
await container.set_container_access_policy(signed_identifiers, if_unmodified_since=test_datetime)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_lease_container_acquire_with_if_modified(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container = await self._create_container(self.container_name, bsc)
test_datetime = (datetime.utcnow() -
timedelta(minutes=15))
# Act
lease = await container.acquire_lease(if_modified_since=test_datetime)
await lease.break_lease()
# Assert
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_lease_cont_acquire_with_if_modified_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container = await self._create_container(self.container_name, bsc)
test_datetime = (datetime.utcnow() +
timedelta(minutes=15))
# Act
with self.assertRaises(ResourceModifiedError) as e:
await container.acquire_lease(if_modified_since=test_datetime)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_lease_container_acquire_with_if_unmodified(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container = await self._create_container(self.container_name, bsc)
test_datetime = (datetime.utcnow() +
timedelta(minutes=15))
# Act
lease = await container.acquire_lease(if_unmodified_since=test_datetime)
await lease.break_lease()
# Assert
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_lease_container_acquire_with_if_unmodified_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container = await self._create_container(self.container_name, bsc)
test_datetime = (datetime.utcnow() -
timedelta(minutes=15))
# Act
with self.assertRaises(ResourceModifiedError) as e:
await container.acquire_lease(if_unmodified_since=test_datetime)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_delete_container_with_if_modified(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container = await self._create_container(self.container_name, bsc)
test_datetime = (datetime.utcnow() -
timedelta(minutes=15))
# Act
deleted = await container.delete_container(if_modified_since=test_datetime)
# Assert
self.assertIsNone(deleted)
with self.assertRaises(ResourceNotFoundError):
await container.get_container_properties()
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_delete_container_with_if_modified_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container = await self._create_container(self.container_name, bsc)
test_datetime = (datetime.utcnow() +
timedelta(minutes=15))
# Act
with self.assertRaises(ResourceModifiedError) as e:
await container.delete_container(if_modified_since=test_datetime)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_delete_container_with_if_unmodified(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container = await self._create_container(self.container_name, bsc)
test_datetime = (datetime.utcnow() +
timedelta(minutes=15))
# Act
await container.delete_container(if_unmodified_since=test_datetime)
# Assert
with self.assertRaises(ResourceNotFoundError):
await container.get_container_properties()
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_delete_container_with_if_unmodified_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container = await self._create_container(self.container_name, bsc)
test_datetime = (datetime.utcnow() -
timedelta(minutes=15))
# Act
with self.assertRaises(ResourceModifiedError) as e:
await container.delete_container(if_unmodified_since=test_datetime)
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_multi_put_block_contains_headers(self, storage_account_name, storage_account_key):
counter = list()
def _validate_headers(request):
counter.append(request)
header = request.http_request.headers.get('x-custom-header')
self.assertEqual(header, 'test_value')
bsc = BlobServiceClient(
self.account_url(storage_account_name, "blob"), storage_account_key, max_single_put_size=100, max_block_size=50)
self._setup()
data = self.get_random_bytes(2 * 100)
await self._create_container(self.container_name, bsc)
blob = bsc.get_blob_client(self.container_name, "blob1")
await blob.upload_blob(
data,
headers={'x-custom-header': 'test_value'},
raw_request_hook=_validate_headers
)
self.assertEqual(len(counter), 5)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_put_blob_with_if_modified(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
data = b'hello world'
container, blob = await self._create_container_and_block_blob(
self.container_name, 'blob1', data, bsc)
test_datetime = (datetime.utcnow() -
timedelta(minutes=15))
# Act
resp = await blob.upload_blob(data, length=len(data), if_modified_since=test_datetime)
# Assert
self.assertIsNotNone(resp.get('etag'))
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_put_blob_with_if_modified_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
data = b'hello world'
container, blob = await self._create_container_and_block_blob(
self.container_name, 'blob1', data, bsc)
test_datetime = (datetime.utcnow() +
timedelta(minutes=15))
# Act
with self.assertRaises(ResourceModifiedError) as e:
await blob.upload_blob(data, length=len(data), if_modified_since=test_datetime, overwrite=True)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_put_blob_with_if_unmodified(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
data = b'hello world'
container, blob = await self._create_container_and_block_blob(
self.container_name, 'blob1', data, bsc)
test_datetime = (datetime.utcnow() +
timedelta(minutes=15))
# Act
resp = await blob.upload_blob(data, length=len(data), if_unmodified_since=test_datetime)
# Assert
self.assertIsNotNone(resp.get('etag'))
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_put_blob_with_if_unmodified_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
data = b'hello world'
container, blob = await self._create_container_and_block_blob(
self.container_name, 'blob1', data, bsc)
test_datetime = (datetime.utcnow() -
timedelta(minutes=15))
# Act
with self.assertRaises(ResourceModifiedError) as e:
await blob.upload_blob(data, length=len(data), if_unmodified_since=test_datetime, overwrite=True)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_put_blob_with_if_match(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
data = b'hello world'
container, blob = await self._create_container_and_block_blob(
self.container_name, 'blob1', data, bsc)
etag = (await blob.get_blob_properties()).etag
# Act
resp = await blob.upload_blob(data, length=len(data), etag=etag, match_condition=MatchConditions.IfNotModified)
# Assert
self.assertIsNotNone(resp.get('etag'))
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_put_blob_with_if_match_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
data = b'hello world'
container, blob = await self._create_container_and_block_blob(
self.container_name, 'blob1', data, bsc)
# Act
with self.assertRaises(ResourceModifiedError) as e:
await blob.upload_blob(
data, length=len(data), etag='0x111111111111111',
match_condition=MatchConditions.IfNotModified, overwrite=True)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_put_blob_with_if_none_match(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
data = b'hello world'
container, blob = await self._create_container_and_block_blob(
self.container_name, 'blob1', data, bsc)
# Act
resp = await blob.upload_blob(data, length=len(data), etag='0x111111111111111', match_condition=MatchConditions.IfModified)
# Assert
self.assertIsNotNone(resp.get('etag'))
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_put_blob_with_if_none_match_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
data = b'hello world'
container, blob = await self._create_container_and_block_blob(
self.container_name, 'blob1', data, bsc)
etag = (await blob.get_blob_properties()).etag
# Act
with self.assertRaises(ResourceModifiedError) as e:
await blob.upload_blob(data, length=len(data), etag=etag, match_condition=MatchConditions.IfModified, overwrite=True)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_get_blob_with_if_modified(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container, blob = await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
test_datetime = (datetime.utcnow() -
timedelta(minutes=15))
# Act
content = await blob.download_blob(if_modified_since=test_datetime)
content = await content.readall()
# Assert
self.assertEqual(content, b'hello world')
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_get_blob_with_if_modified_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container, blob = await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
test_datetime = (datetime.utcnow() +
timedelta(minutes=15))
# Act
with self.assertRaises(ResourceModifiedError) as e:
await blob.download_blob(if_modified_since=test_datetime)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_get_blob_with_if_unmodified(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container, blob = await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
test_datetime = (datetime.utcnow() +
timedelta(minutes=15))
# Act
content = await blob.download_blob(if_unmodified_since=test_datetime)
content = await content.readall()
# Assert
self.assertEqual(content, b'hello world')
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_get_blob_with_if_unmodified_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container, blob = await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
test_datetime = (datetime.utcnow() -
timedelta(minutes=15))
# Act
with self.assertRaises(ResourceModifiedError) as e:
await blob.download_blob(if_unmodified_since=test_datetime)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_get_blob_with_if_match(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container, blob = await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
etag = (await blob.get_blob_properties()).etag
# Act
content = await blob.download_blob(etag=etag, match_condition=MatchConditions.IfNotModified)
content = await content.readall()
# Assert
self.assertEqual(content, b'hello world')
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_get_blob_with_if_match_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container, blob = await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
# Act
with self.assertRaises(ResourceModifiedError) as e:
await blob.download_blob(etag='0x111111111111111', match_condition=MatchConditions.IfNotModified)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_get_blob_with_if_none_match(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container, blob = await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
# Act
content = await blob.download_blob(etag='0x111111111111111', match_condition=MatchConditions.IfModified)
content = await content.readall()
# Assert
self.assertEqual(content, b'hello world')
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_get_blob_with_if_none_match_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container, blob = await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
etag = (await blob.get_blob_properties()).etag
# Act
with self.assertRaises(ResourceModifiedError) as e:
await blob.download_blob(etag=etag, match_condition=MatchConditions.IfModified)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_set_blob_props_with_if_modified(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
test_datetime = (datetime.utcnow() -
timedelta(minutes=15))
# Act
content_settings = ContentSettings(
content_language='spanish',
content_disposition='inline')
blob = bsc.get_blob_client(self.container_name, 'blob1')
await blob.set_http_headers(content_settings, if_modified_since=test_datetime)
# Assert
properties = await blob.get_blob_properties()
self.assertEqual(content_settings.content_language, properties.content_settings.content_language)
self.assertEqual(content_settings.content_disposition, properties.content_settings.content_disposition)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_set_blob_props_with_if_modified_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
test_datetime = (datetime.utcnow() +
timedelta(minutes=15))
# Act
with self.assertRaises(ResourceModifiedError) as e:
content_settings = ContentSettings(
content_language='spanish',
content_disposition='inline')
blob = bsc.get_blob_client(self.container_name, 'blob1')
await blob.set_http_headers(content_settings, if_modified_since=test_datetime)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_set_blob_props_with_if_unmodified(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
test_datetime = (datetime.utcnow() +
timedelta(minutes=15))
# Act
content_settings = ContentSettings(
content_language='spanish',
content_disposition='inline')
blob = bsc.get_blob_client(self.container_name, 'blob1')
await blob.set_http_headers(content_settings, if_unmodified_since=test_datetime)
# Assert
properties = await blob.get_blob_properties()
self.assertEqual(content_settings.content_language, properties.content_settings.content_language)
self.assertEqual(content_settings.content_disposition, properties.content_settings.content_disposition)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_set_blob_props_with_if_unmodified_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
test_datetime = (datetime.utcnow() -
timedelta(minutes=15))
# Act
with self.assertRaises(ResourceModifiedError) as e:
content_settings = ContentSettings(
content_language='spanish',
content_disposition='inline')
blob = bsc.get_blob_client(self.container_name, 'blob1')
await blob.set_http_headers(content_settings, if_unmodified_since=test_datetime)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_set_blob_props_with_if_match(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
blob = bsc.get_blob_client(self.container_name, 'blob1')
etag = (await blob.get_blob_properties()).etag
# Act
content_settings = ContentSettings(
content_language='spanish',
content_disposition='inline')
await blob.set_http_headers(content_settings, etag=etag, match_condition=MatchConditions.IfNotModified)
# Assert
properties = await blob.get_blob_properties()
self.assertEqual(content_settings.content_language, properties.content_settings.content_language)
self.assertEqual(content_settings.content_disposition, properties.content_settings.content_disposition)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_set_blob_props_with_if_match_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
# Act
with self.assertRaises(ResourceModifiedError) as e:
content_settings = ContentSettings(
content_language='spanish',
content_disposition='inline')
blob = bsc.get_blob_client(self.container_name, 'blob1')
await blob.set_http_headers(content_settings, etag='0x111111111111111', match_condition=MatchConditions.IfNotModified)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_set_blob_props_with_if_none_match(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
# Act
content_settings = ContentSettings(
content_language='spanish',
content_disposition='inline')
blob = bsc.get_blob_client(self.container_name, 'blob1')
await blob.set_http_headers(content_settings, etag='0x111111111111111', match_condition=MatchConditions.IfModified)
# Assert
properties = await blob.get_blob_properties()
self.assertEqual(content_settings.content_language, properties.content_settings.content_language)
self.assertEqual(content_settings.content_disposition, properties.content_settings.content_disposition)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_set_blob_props_with_if_none_match_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
blob = bsc.get_blob_client(self.container_name, 'blob1')
etag = (await blob.get_blob_properties()).etag
# Act
with self.assertRaises(ResourceModifiedError) as e:
content_settings = ContentSettings(
content_language='spanish',
content_disposition='inline')
await blob.set_http_headers(content_settings, etag=etag, match_condition=MatchConditions.IfModified)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@pytest.mark.playback_test_only
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_if_blob_exists(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024)
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
# Act
blob = bsc.get_blob_client(self.container_name, 'blob1')
old_blob_props = await blob.get_blob_properties()
old_blob_version_id = old_blob_props.get("version_id")
self.assertIsNotNone(old_blob_version_id)
await blob.stage_block(block_id='1', data="this is test content")
await blob.commit_block_list(['1'])
new_blob_props = await blob.get_blob_properties()
new_blob_version_id = new_blob_props.get("version_id")
# Assert
self.assertEqual(await blob.exists(version_id=old_blob_version_id), True)
self.assertEqual(await blob.exists(version_id=new_blob_version_id), True)
self.assertEqual(await blob.exists(version_id="2020-08-21T21:24:15.3585832Z"), False)
# Act
test_snapshot = await blob.create_snapshot()
blob_snapshot = bsc.get_blob_client(self.container_name, 'blob1', snapshot=test_snapshot)
self.assertEqual(await blob_snapshot.exists(), True)
await blob.stage_block(block_id='1', data="this is additional test content")
await blob.commit_block_list(['1'])
# Assert
self.assertEqual(await blob_snapshot.exists(), True)
self.assertEqual(await blob.exists(), True)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_if_blob_with_cpk_exists(self, storage_account_name, storage_account_key):
container_name = self.get_resource_name("testcontainer1")
cc = ContainerClient(
self.account_url(storage_account_name, "blob"), credential=storage_account_key, container_name=container_name,
connection_data_block_size=4 * 1024)
await cc.create_container()
self._setup()
test_cpk = CustomerProvidedEncryptionKey(key_value=CPK_KEY_VALUE, key_hash=CPK_KEY_HASH)
blob_client = cc.get_blob_client("test_blob")
await blob_client.upload_blob(b"hello world", cpk=test_cpk)
# Act
self.assertTrue(await blob_client.exists())
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_get_blob_properties_with_if_modified(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
test_datetime = (datetime.utcnow() -
timedelta(minutes=15))
# Act
blob = bsc.get_blob_client(self.container_name, 'blob1')
properties = await blob.get_blob_properties(if_modified_since=test_datetime)
# Assert
self.assertIsInstance(properties, BlobProperties)
self.assertEqual(properties.blob_type.value, 'BlockBlob')
self.assertEqual(properties.size, 11)
self.assertEqual(properties.lease.status, 'unlocked')
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_get_blob_properties_with_if_modified_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
test_datetime = (datetime.utcnow() +
timedelta(minutes=15))
# Act
with self.assertRaises(ResourceModifiedError) as e:
blob = bsc.get_blob_client(self.container_name, 'blob1')
await blob.get_blob_properties(if_modified_since=test_datetime)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_get_blob_properties_with_if_unmodified(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
test_datetime = (datetime.utcnow() +
timedelta(minutes=15))
# Act
blob = bsc.get_blob_client(self.container_name, 'blob1')
properties = await blob.get_blob_properties(if_unmodified_since=test_datetime)
# Assert
self.assertIsNotNone(properties)
self.assertEqual(properties.blob_type.value, 'BlockBlob')
self.assertEqual(properties.size, 11)
self.assertEqual(properties.lease.status, 'unlocked')
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_get_blob_properties_with_if_unmodified_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
test_datetime = (datetime.utcnow() -
timedelta(minutes=15))
# Act
with self.assertRaises(ResourceModifiedError) as e:
blob = bsc.get_blob_client(self.container_name, 'blob1')
await blob.get_blob_properties(if_unmodified_since=test_datetime)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_get_blob_properties_with_if_match(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
blob = bsc.get_blob_client(self.container_name, 'blob1')
etag = (await blob.get_blob_properties()).etag
# Act
properties = await blob.get_blob_properties(etag=etag, match_condition=MatchConditions.IfNotModified)
# Assert
self.assertIsNotNone(properties)
self.assertEqual(properties.blob_type.value, 'BlockBlob')
self.assertEqual(properties.size, 11)
self.assertEqual(properties.lease.status, 'unlocked')
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_get_blob_properties_with_if_match_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
# Act
with self.assertRaises(ResourceModifiedError) as e:
blob = bsc.get_blob_client(self.container_name, 'blob1')
await blob.get_blob_properties(etag='0x111111111111111', match_condition=MatchConditions.IfNotModified)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_get_blob_properties_with_if_none_match(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
# Act
blob = bsc.get_blob_client(self.container_name, 'blob1')
properties = await blob.get_blob_properties(etag='0x111111111111111', match_condition=MatchConditions.IfModified)
# Assert
self.assertIsNotNone(properties)
self.assertEqual(properties.blob_type.value, 'BlockBlob')
self.assertEqual(properties.size, 11)
self.assertEqual(properties.lease.status, 'unlocked')
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_get_blob_properties_with_if_none_match_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
blob = bsc.get_blob_client(self.container_name, 'blob1')
etag = (await blob.get_blob_properties()).etag
# Act
with self.assertRaises(ResourceModifiedError) as e:
await blob.get_blob_properties(etag=etag, match_condition=MatchConditions.IfModified)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_get_blob_metadata_with_if_modified(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
test_datetime = (datetime.utcnow() -
timedelta(minutes=15))
# Act
blob = bsc.get_blob_client(self.container_name, 'blob1')
md = (await blob.get_blob_properties(if_modified_since=test_datetime)).metadata
# Assert
self.assertIsNotNone(md)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_get_blob_metadata_with_if_modified_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
test_datetime = (datetime.utcnow() +
timedelta(minutes=15))
# Act
with self.assertRaises(ResourceModifiedError) as e:
blob = bsc.get_blob_client(self.container_name, 'blob1')
await blob.get_blob_properties(if_modified_since=test_datetime)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_get_blob_metadata_with_if_unmodified(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
test_datetime = (datetime.utcnow() +
timedelta(minutes=15))
# Act
blob = bsc.get_blob_client(self.container_name, 'blob1')
md = (await blob.get_blob_properties(if_unmodified_since=test_datetime)).metadata
# Assert
self.assertIsNotNone(md)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_get_blob_metadata_with_if_unmodified_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
test_datetime = (datetime.utcnow() -
timedelta(minutes=15))
# Act
with self.assertRaises(ResourceModifiedError) as e:
blob = bsc.get_blob_client(self.container_name, 'blob1')
await blob.get_blob_properties(if_unmodified_since=test_datetime)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_get_blob_metadata_with_if_match(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
blob = bsc.get_blob_client(self.container_name, 'blob1')
etag = (await blob.get_blob_properties()).etag
# Act
md = (await blob.get_blob_properties(etag=etag, match_condition=MatchConditions.IfNotModified)).metadata
# Assert
self.assertIsNotNone(md)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_get_blob_metadata_with_if_match_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
# Act
with self.assertRaises(ResourceModifiedError) as e:
blob = bsc.get_blob_client(self.container_name, 'blob1')
await blob.get_blob_properties(etag='0x111111111111111', match_condition=MatchConditions.IfNotModified)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_get_blob_metadata_with_if_none_match(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
# Act
blob = bsc.get_blob_client(self.container_name, 'blob1')
md = (await blob.get_blob_properties(etag='0x111111111111111', match_condition=MatchConditions.IfModified)).metadata
# Assert
self.assertIsNotNone(md)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_get_blob_metadata_with_if_none_match_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
blob = bsc.get_blob_client(self.container_name, 'blob1')
etag = (await blob.get_blob_properties()).etag
# Act
with self.assertRaises(ResourceModifiedError) as e:
await blob.get_blob_properties(etag=etag, match_condition=MatchConditions.IfModified)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_set_blob_metadata_with_if_modified(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
test_datetime = (datetime.utcnow() -
timedelta(minutes=15))
# Act
metadata = {'hello': 'world', 'number': '42'}
blob = bsc.get_blob_client(self.container_name, 'blob1')
await blob.set_blob_metadata(metadata, if_modified_since=test_datetime)
# Assert
md = (await blob.get_blob_properties()).metadata
self.assertDictEqual(metadata, md)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_set_blob_metadata_with_if_modified_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
test_datetime = (datetime.utcnow() +
timedelta(minutes=15))
# Act
with self.assertRaises(ResourceModifiedError) as e:
metadata = {'hello': 'world', 'number': '42'}
blob = bsc.get_blob_client(self.container_name, 'blob1')
await blob.set_blob_metadata(metadata, if_modified_since=test_datetime)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_set_blob_metadata_with_if_unmodified(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
test_datetime = (datetime.utcnow() +
timedelta(minutes=15))
# Act
metadata = {'hello': 'world', 'number': '42'}
blob = bsc.get_blob_client(self.container_name, 'blob1')
await blob.set_blob_metadata(metadata, if_unmodified_since=test_datetime)
# Assert
md = (await blob.get_blob_properties()).metadata
self.assertDictEqual(metadata, md)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_set_blob_metadata_with_if_unmodified_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
test_datetime = (datetime.utcnow() -
timedelta(minutes=15))
# Act
with self.assertRaises(ResourceModifiedError) as e:
metadata = {'hello': 'world', 'number': '42'}
blob = bsc.get_blob_client(self.container_name, 'blob1')
await blob.set_blob_metadata(metadata, if_unmodified_since=test_datetime)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_set_blob_metadata_with_if_match(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
blob = bsc.get_blob_client(self.container_name, 'blob1')
etag = (await blob.get_blob_properties()).etag
# Act
metadata = {'hello': 'world', 'number': '42'}
await blob.set_blob_metadata(metadata, etag=etag, match_condition=MatchConditions.IfNotModified)
# Assert
md = (await blob.get_blob_properties()).metadata
self.assertDictEqual(metadata, md)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_set_blob_metadata_with_if_match_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
# Act
with self.assertRaises(ResourceModifiedError) as e:
metadata = {'hello': 'world', 'number': '42'}
blob = bsc.get_blob_client(self.container_name, 'blob1')
await blob.set_blob_metadata(metadata, etag='0x111111111111111', match_condition=MatchConditions.IfNotModified)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_set_blob_metadata_with_if_none_match(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
# Act
metadata = {'hello': 'world', 'number': '42'}
blob = bsc.get_blob_client(self.container_name, 'blob1')
await blob.set_blob_metadata(metadata, etag='0x111111111111111', match_condition=MatchConditions.IfModified)
# Assert
md = (await blob.get_blob_properties()).metadata
self.assertDictEqual(metadata, md)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_set_blob_metadata_with_if_none_match_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
blob = bsc.get_blob_client(self.container_name, 'blob1')
etag = (await blob.get_blob_properties()).etag
# Act
with self.assertRaises(ResourceModifiedError) as e:
metadata = {'hello': 'world', 'number': '42'}
await blob.set_blob_metadata(metadata, etag=etag, match_condition=MatchConditions.IfModified)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_delete_blob_with_if_modified(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
test_datetime = (datetime.utcnow() -
timedelta(minutes=15))
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
# Act
blob = bsc.get_blob_client(self.container_name, 'blob1')
resp = await blob.delete_blob(if_modified_since=test_datetime)
# Assert
self.assertIsNone(resp)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_delete_blob_with_if_modified_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
test_datetime = (datetime.utcnow() +
timedelta(minutes=15))
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
# Act
blob = bsc.get_blob_client(self.container_name, 'blob1')
with self.assertRaises(ResourceModifiedError) as e:
await blob.delete_blob(if_modified_since=test_datetime)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_delete_blob_with_if_unmodified(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
test_datetime = (datetime.utcnow() +
timedelta(minutes=15))
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
# Act
blob = bsc.get_blob_client(self.container_name, 'blob1')
resp = await blob.delete_blob(if_unmodified_since=test_datetime)
# Assert
self.assertIsNone(resp)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_delete_blob_with_if_unmodified_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
test_datetime = (datetime.utcnow() -
timedelta(minutes=15))
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
# Act
blob = bsc.get_blob_client(self.container_name, 'blob1')
with self.assertRaises(ResourceModifiedError) as e:
await blob.delete_blob(if_unmodified_since=test_datetime)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_delete_blob_with_if_match(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
blob = bsc.get_blob_client(self.container_name, 'blob1')
etag = (await blob.get_blob_properties()).etag
# Act
resp = await blob.delete_blob(etag=etag, match_condition=MatchConditions.IfNotModified)
# Assert
self.assertIsNone(resp)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_delete_blob_with_if_match_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
# Act
blob = bsc.get_blob_client(self.container_name, 'blob1')
with self.assertRaises(ResourceModifiedError) as e:
await blob.delete_blob(etag='0x111111111111111', match_condition=MatchConditions.IfNotModified)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_delete_blob_with_if_none_match(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
# Act
blob = bsc.get_blob_client(self.container_name, 'blob1')
resp = await blob.delete_blob(etag='0x111111111111111', match_condition=MatchConditions.IfModified)
# Assert
self.assertIsNone(resp)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_delete_blob_with_if_none_match_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
blob = bsc.get_blob_client(self.container_name, 'blob1')
etag = (await blob.get_blob_properties()).etag
# Act
with self.assertRaises(ResourceModifiedError) as e:
await blob.delete_blob(etag=etag, match_condition=MatchConditions.IfModified)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_snapshot_blob_with_if_modified(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
test_datetime = (datetime.utcnow() -
timedelta(minutes=15))
# Act
blob = bsc.get_blob_client(self.container_name, 'blob1')
resp = await blob.create_snapshot(if_modified_since=test_datetime)
# Assert
self.assertIsNotNone(resp)
self.assertIsNotNone(resp['snapshot'])
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_snapshot_blob_with_if_modified_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
test_datetime = (datetime.utcnow() +
timedelta(minutes=15))
# Act
with self.assertRaises(ResourceModifiedError) as e:
blob = bsc.get_blob_client(self.container_name, 'blob1')
await blob.create_snapshot(if_modified_since=test_datetime)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_snapshot_blob_with_if_unmodified(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
test_datetime = (datetime.utcnow() +
timedelta(minutes=15))
# Act
blob = bsc.get_blob_client(self.container_name, 'blob1')
resp = await blob.create_snapshot(if_unmodified_since=test_datetime)
# Assert
self.assertIsNotNone(resp)
self.assertIsNotNone(resp['snapshot'])
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_snapshot_blob_with_if_unmodified_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
test_datetime = (datetime.utcnow() -
timedelta(minutes=15))
# Act
with self.assertRaises(ResourceModifiedError) as e:
blob = bsc.get_blob_client(self.container_name, 'blob1')
await blob.create_snapshot(if_unmodified_since=test_datetime)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_snapshot_blob_with_if_match(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
blob = bsc.get_blob_client(self.container_name, 'blob1')
etag = (await blob.get_blob_properties()).etag
# Act
resp = await blob.create_snapshot(etag=etag, match_condition=MatchConditions.IfNotModified)
# Assert
self.assertIsNotNone(resp)
self.assertIsNotNone(resp['snapshot'])
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_snapshot_blob_with_if_match_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
# Act
with self.assertRaises(ResourceModifiedError) as e:
blob = bsc.get_blob_client(self.container_name, 'blob1')
await blob.create_snapshot(etag='0x111111111111111', match_condition=MatchConditions.IfNotModified)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_snapshot_blob_with_if_none_match(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
# Act
blob = bsc.get_blob_client(self.container_name, 'blob1')
resp = await blob.create_snapshot(etag='0x111111111111111', match_condition=MatchConditions.IfModified)
# Assert
self.assertIsNotNone(resp)
self.assertIsNotNone(resp['snapshot'])
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_snapshot_blob_with_if_none_match_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
blob = bsc.get_blob_client(self.container_name, 'blob1')
etag = (await blob.get_blob_properties()).etag
# Act
with self.assertRaises(ResourceModifiedError) as e:
await blob.create_snapshot(etag=etag, match_condition=MatchConditions.IfModified)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_lease_blob_with_if_modified(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
test_lease_id = '00000000-1111-2222-3333-444444444444'
test_datetime = (datetime.utcnow() -
timedelta(minutes=15))
# Act
blob = bsc.get_blob_client(self.container_name, 'blob1')
lease = await blob.acquire_lease(
if_modified_since=test_datetime,
lease_id=test_lease_id)
await lease.break_lease()
# Assert
self.assertIsInstance(lease, BlobLeaseClient)
self.assertIsNotNone(lease.id)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_lease_blob_with_if_modified_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
test_datetime = (datetime.utcnow() +
timedelta(minutes=15))
# Act
with self.assertRaises(ResourceModifiedError) as e:
blob = bsc.get_blob_client(self.container_name, 'blob1')
await blob.acquire_lease(if_modified_since=test_datetime)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_lease_blob_with_if_unmodified(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
test_lease_id = '00000000-1111-2222-3333-444444444444'
test_datetime = (datetime.utcnow() +
timedelta(minutes=15))
# Act
blob = bsc.get_blob_client(self.container_name, 'blob1')
lease = await blob.acquire_lease(
if_unmodified_since=test_datetime,
lease_id=test_lease_id)
await lease.break_lease()
# Assert
self.assertIsInstance(lease, BlobLeaseClient)
self.assertIsNotNone(lease.id)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_lease_blob_with_if_unmodified_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
test_datetime = (datetime.utcnow() -
timedelta(minutes=15))
# Act
blob = bsc.get_blob_client(self.container_name, 'blob1')
with self.assertRaises(ResourceModifiedError) as e:
await blob.acquire_lease(if_unmodified_since=test_datetime)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_lease_blob_with_if_match(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
blob = bsc.get_blob_client(self.container_name, 'blob1')
etag = (await blob.get_blob_properties()).etag
test_lease_id = '00000000-1111-2222-3333-444444444444'
# Act
lease = await blob.acquire_lease(
lease_id=test_lease_id,
etag=etag, match_condition=MatchConditions.IfNotModified)
await lease.break_lease()
# Assert
self.assertIsInstance(lease, BlobLeaseClient)
self.assertIsNotNone(lease.id)
self.assertIsNotNone(lease.etag)
self.assertEqual(lease.etag, etag)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_lease_blob_with_if_match_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
# Act
blob = bsc.get_blob_client(self.container_name, 'blob1')
with self.assertRaises(ResourceModifiedError) as e:
await blob.acquire_lease(etag='0x111111111111111', match_condition=MatchConditions.IfNotModified)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_lease_blob_with_if_none_match(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
test_lease_id = '00000000-1111-2222-3333-444444444444'
# Act
blob = bsc.get_blob_client(self.container_name, 'blob1')
lease = await blob.acquire_lease(
lease_id=test_lease_id,
etag='0x111111111111111',
match_condition=MatchConditions.IfModified)
await lease.break_lease()
# Assert
self.assertIsInstance(lease, BlobLeaseClient)
self.assertIsNotNone(lease.id)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_lease_blob_with_if_none_match_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_block_blob(
self.container_name, 'blob1', b'hello world', bsc)
blob = bsc.get_blob_client(self.container_name, 'blob1')
etag = (await blob.get_blob_properties()).etag
# Act
with self.assertRaises(ResourceModifiedError) as e:
await blob.acquire_lease(etag=etag, match_condition=MatchConditions.IfModified)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_put_block_list_with_if_modified(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container, blob = await self._create_container_and_block_blob(
self.container_name, 'blob1', b'', bsc)
await asyncio.gather(*[
blob.stage_block('1', b'AAA'),
blob.stage_block('2', b'BBB'),
blob.stage_block('3', b'CCC')])
test_datetime = (datetime.utcnow() -
timedelta(minutes=15))
# Act
block_list = [BlobBlock(block_id='1'), BlobBlock(block_id='2'), BlobBlock(block_id='3')]
await blob.commit_block_list(block_list, if_modified_since=test_datetime)
# Assert
content = await blob.download_blob()
content = await content.readall()
self.assertEqual(content, b'AAABBBCCC')
@pytest.mark.playback_test_only
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_put_block_list_returns_vid(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container, blob = await self._create_container_and_block_blob(
self.container_name, 'blob1', b'', bsc)
await asyncio.gather(*[
blob.stage_block('1', b'AAA'),
blob.stage_block('2', b'BBB'),
blob.stage_block('3', b'CCC')])
test_datetime = (datetime.utcnow() -
timedelta(minutes=15))
# Act
block_list = [BlobBlock(block_id='1'), BlobBlock(block_id='2'), BlobBlock(block_id='3')]
resp = await blob.commit_block_list(block_list, if_modified_since=test_datetime)
# Assert
self.assertIsNotNone(resp['version_id'])
content = await blob.download_blob()
content = await content.readall()
self.assertEqual(content, b'AAABBBCCC')
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_put_block_list_with_if_modified_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container, blob = await self._create_container_and_block_blob(
self.container_name, 'blob1', b'', bsc)
await asyncio.gather(*[
blob.stage_block('1', b'AAA'),
blob.stage_block('2', b'BBB'),
blob.stage_block('3', b'CCC')])
test_datetime = (datetime.utcnow() +
timedelta(minutes=15))
# Act
with self.assertRaises(ResourceModifiedError) as e:
await blob.commit_block_list(
[BlobBlock(block_id='1'), BlobBlock(block_id='2'), BlobBlock(block_id='3')],
if_modified_since=test_datetime)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_put_block_list_with_if_unmodified(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container, blob = await self._create_container_and_block_blob(
self.container_name, 'blob1', b'', bsc)
await asyncio.gather(*[
blob.stage_block('1', b'AAA'),
blob.stage_block('2', b'BBB'),
blob.stage_block('3', b'CCC')])
test_datetime = (datetime.utcnow() +
timedelta(minutes=15))
# Act
block_list = [BlobBlock(block_id='1'), BlobBlock(block_id='2'), BlobBlock(block_id='3')]
await blob.commit_block_list(block_list, if_unmodified_since=test_datetime)
# Assert
content = await blob.download_blob()
content = await content.readall()
self.assertEqual(content, b'AAABBBCCC')
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_put_block_list_with_if_unmodified_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container, blob = await self._create_container_and_block_blob(
self.container_name, 'blob1', b'', bsc)
await asyncio.gather(*[
blob.stage_block('1', b'AAA'),
blob.stage_block('2', b'BBB'),
blob.stage_block('3', b'CCC')])
test_datetime = (datetime.utcnow() -
timedelta(minutes=15))
# Act
with self.assertRaises(ResourceModifiedError) as e:
await blob.commit_block_list(
[BlobBlock(block_id='1'), BlobBlock(block_id='2'), BlobBlock(block_id='3')],
if_unmodified_since=test_datetime)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_put_block_list_with_if_match(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container, blob = await self._create_container_and_block_blob(
self.container_name, 'blob1', b'', bsc)
await asyncio.gather(*[
blob.stage_block('1', b'AAA'),
blob.stage_block('2', b'BBB'),
blob.stage_block('3', b'CCC')])
etag = (await blob.get_blob_properties()).etag
# Act
block_list = [BlobBlock(block_id='1'), BlobBlock(block_id='2'), BlobBlock(block_id='3')]
await blob.commit_block_list(block_list, etag=etag, match_condition=MatchConditions.IfNotModified)
# Assert
content = await blob.download_blob()
content = await content.readall()
self.assertEqual(content, b'AAABBBCCC')
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_put_block_list_with_if_match_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container, blob = await self._create_container_and_block_blob(
self.container_name, 'blob1', b'', bsc)
await asyncio.gather(*[
blob.stage_block('1', b'AAA'),
blob.stage_block('2', b'BBB'),
blob.stage_block('3', b'CCC')])
# Act
with self.assertRaises(ResourceModifiedError) as e:
await blob.commit_block_list(
[BlobBlock(block_id='1'), BlobBlock(block_id='2'), BlobBlock(block_id='3')],
etag='0x111111111111111', match_condition=MatchConditions.IfNotModified)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_put_block_list_with_if_none_match(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container, blob = await self._create_container_and_block_blob(
self.container_name, 'blob1', b'', bsc)
await asyncio.gather(*[
blob.stage_block('1', b'AAA'),
blob.stage_block('2', b'BBB'),
blob.stage_block('3', b'CCC')])
# Act
block_list = [BlobBlock(block_id='1'), BlobBlock(block_id='2'), BlobBlock(block_id='3')]
await blob.commit_block_list(block_list, etag='0x111111111111111', match_condition=MatchConditions.IfModified)
# Assert
content = await blob.download_blob()
content = await content.readall()
self.assertEqual(content, b'AAABBBCCC')
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_put_block_list_with_if_none_match_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container, blob = await self._create_container_and_block_blob(
self.container_name, 'blob1', b'', bsc)
await asyncio.gather(*[
blob.stage_block('1', b'AAA'),
blob.stage_block('2', b'BBB'),
blob.stage_block('3', b'CCC')])
etag = (await blob.get_blob_properties()).etag
# Act
with self.assertRaises(ResourceModifiedError) as e:
block_list = [BlobBlock(block_id='1'), BlobBlock(block_id='2'), BlobBlock(block_id='3')]
await blob.commit_block_list(block_list, etag=etag, match_condition=MatchConditions.IfModified)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_update_page_with_if_modified(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_page_blob(
self.container_name, 'blob1', 1024, bsc)
test_datetime = (datetime.utcnow() -
timedelta(minutes=15))
data = b'abcdefghijklmnop' * 32
# Act
blob = bsc.get_blob_client(self.container_name, 'blob1')
await blob.upload_page(data, offset=0, length=512, if_modified_since=test_datetime)
# Assert
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_update_page_with_if_modified_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_page_blob(
self.container_name, 'blob1', 1024, bsc)
test_datetime = (datetime.utcnow() +
timedelta(minutes=15))
data = b'abcdefghijklmnop' * 32
# Act
blob = bsc.get_blob_client(self.container_name, 'blob1')
with self.assertRaises(ResourceModifiedError) as e:
await blob.upload_page(data, offset=0, length=512, if_modified_since=test_datetime)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_update_page_with_if_unmodified(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_page_blob(
self.container_name, 'blob1', 1024, bsc)
test_datetime = (datetime.utcnow() +
timedelta(minutes=15))
data = b'abcdefghijklmnop' * 32
# Act
blob = bsc.get_blob_client(self.container_name, 'blob1')
await blob.upload_page(data, offset=0, length=512, if_unmodified_since=test_datetime)
# Assert
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_update_page_with_if_unmodified_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_page_blob(
self.container_name, 'blob1', 1024, bsc)
test_datetime = (datetime.utcnow() -
timedelta(minutes=15))
data = b'abcdefghijklmnop' * 32
# Act
blob = bsc.get_blob_client(self.container_name, 'blob1')
with self.assertRaises(ResourceModifiedError) as e:
await blob.upload_page(data, offset=0, length=512, if_unmodified_since=test_datetime)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_update_page_with_if_match(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_page_blob(
self.container_name, 'blob1', 1024, bsc)
data = b'abcdefghijklmnop' * 32
blob = bsc.get_blob_client(self.container_name, 'blob1')
etag = (await blob.get_blob_properties()).etag
# Act
await blob.upload_page(data, offset=0, length=512, etag=etag, match_condition=MatchConditions.IfNotModified)
# Assert
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_update_page_with_if_match_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_page_blob(
self.container_name, 'blob1', 1024, bsc)
data = b'abcdefghijklmnop' * 32
# Act
blob = bsc.get_blob_client(self.container_name, 'blob1')
with self.assertRaises(ResourceModifiedError) as e:
await blob.upload_page(data, offset=0, length=512, etag='0x111111111111111', match_condition=MatchConditions.IfNotModified)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_update_page_with_if_none_match(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_page_blob(
self.container_name, 'blob1', 1024, bsc)
data = b'abcdefghijklmnop' * 32
# Act
blob = bsc.get_blob_client(self.container_name, 'blob1')
await blob.upload_page(data, offset=0, length=512, etag='0x111111111111111', match_condition=MatchConditions.IfModified)
# Assert
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_update_page_with_if_none_match_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
await self._create_container_and_page_blob(
self.container_name, 'blob1', 1024, bsc)
data = b'abcdefghijklmnop' * 32
blob = bsc.get_blob_client(self.container_name, 'blob1')
etag = (await blob.get_blob_properties()).etag
# Act
with self.assertRaises(ResourceModifiedError) as e:
await blob.upload_page(data, offset=0, length=512, etag=etag, match_condition=MatchConditions.IfModified)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_get_page_ranges_iter_with_if_modified(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container, blob = await self._create_container_and_page_blob(
self.container_name, 'blob1', 2048, bsc)
data = b'abcdefghijklmnop' * 32
test_datetime = (datetime.utcnow() -
timedelta(minutes=15))
await asyncio.gather(blob.upload_page(data, offset=0, length=512), blob.upload_page(data, offset=1024, length=512))
# Act
ranges = await blob.get_page_ranges(if_modified_since=test_datetime)
# Assert
self.assertEqual(len(ranges[0]), 2)
self.assertEqual(ranges[0][0], {'start': 0, 'end': 511})
self.assertEqual(ranges[0][1], {'start': 1024, 'end': 1535})
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_get_page_ranges_iter_with_if_modified_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container, blob = await self._create_container_and_page_blob(
self.container_name, 'blob1', 2048, bsc)
data = b'abcdefghijklmnop' * 32
test_datetime = (datetime.utcnow() +
timedelta(minutes=15))
await asyncio.gather(blob.upload_page(data, offset=0, length=512), blob.upload_page(data, offset=1024, length=512))
# Act
with self.assertRaises(ResourceModifiedError) as e:
await blob.get_page_ranges(if_modified_since=test_datetime)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_get_page_ranges_iter_with_if_unmodified(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container, blob = await self._create_container_and_page_blob(
self.container_name, 'blob1', 2048, bsc)
data = b'abcdefghijklmnop' * 32
test_datetime = (datetime.utcnow() +
timedelta(minutes=15))
await asyncio.gather(blob.upload_page(data, offset=0, length=512), blob.upload_page(data, offset=1024, length=512))
# Act
ranges = await blob.get_page_ranges(if_unmodified_since=test_datetime)
# Assert
self.assertEqual(len(ranges[0]), 2)
self.assertEqual(ranges[0][0], {'start': 0, 'end': 511})
self.assertEqual(ranges[0][1], {'start': 1024, 'end': 1535})
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_get_page_ranges_iter_with_if_unmod_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container, blob = await self._create_container_and_page_blob(
self.container_name, 'blob1', 2048, bsc)
data = b'abcdefghijklmnop' * 32
test_datetime = (datetime.utcnow() -
timedelta(minutes=15))
await asyncio.gather(blob.upload_page(data, offset=0, length=512), blob.upload_page(data, offset=1024, length=512))
# Act
with self.assertRaises(ResourceModifiedError) as e:
await blob.get_page_ranges(if_unmodified_since=test_datetime)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_get_page_ranges_iter_with_if_match(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container, blob = await self._create_container_and_page_blob(
self.container_name, 'blob1', 2048, bsc)
data = b'abcdefghijklmnop' * 32
await asyncio.gather(blob.upload_page(data, offset=0, length=512), blob.upload_page(data, offset=1024, length=512))
etag = (await blob.get_blob_properties()).etag
# Act
ranges = await blob.get_page_ranges(etag=etag, match_condition=MatchConditions.IfNotModified)
# Assert
self.assertEqual(len(ranges[0]), 2)
self.assertEqual(ranges[0][0], {'start': 0, 'end': 511})
self.assertEqual(ranges[0][1], {'start': 1024, 'end': 1535})
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_get_page_ranges_iter_with_if_match_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container, blob = await self._create_container_and_page_blob(
self.container_name, 'blob1', 2048, bsc)
data = b'abcdefghijklmnop' * 32
await asyncio.gather(blob.upload_page(data, offset=0, length=512), blob.upload_page(data, offset=1024, length=512))
# Act
with self.assertRaises(ResourceModifiedError) as e:
await blob.get_page_ranges(etag='0x111111111111111', match_condition=MatchConditions.IfNotModified)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_get_page_ranges_iter_with_if_none_match(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container, blob = await self._create_container_and_page_blob(
self.container_name, 'blob1', 2048, bsc)
data = b'abcdefghijklmnop' * 32
await asyncio.gather(blob.upload_page(data, offset=0, length=512), blob.upload_page(data, offset=1024, length=512))
# Act
ranges = await blob.get_page_ranges(etag='0x111111111111111', match_condition=MatchConditions.IfModified)
# Assert
self.assertEqual(len(ranges[0]), 2)
self.assertEqual(ranges[0][0], {'start': 0, 'end': 511})
self.assertEqual(ranges[0][1], {'start': 1024, 'end': 1535})
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_get_page_ranges_iter_if_none_match_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container, blob = await self._create_container_and_page_blob(
self.container_name, 'blob1', 2048, bsc)
data = b'abcdefghijklmnop' * 32
await asyncio.gather(blob.upload_page(data, offset=0, length=512), blob.upload_page(data, offset=1024, length=512))
etag = (await blob.get_blob_properties()).etag
# Act
with self.assertRaises(ResourceModifiedError) as e:
await blob.get_page_ranges(etag=etag, match_condition=MatchConditions.IfModified)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_append_block_with_if_modified(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container, blob = await self._create_container_and_append_blob(self.container_name, 'blob1', bsc)
test_datetime = (datetime.utcnow() -
timedelta(minutes=15))
# Act
for i in range(5):
resp = await blob.append_block(u'block {0}'.format(i), if_modified_since=test_datetime)
self.assertIsNotNone(resp)
# Assert
content = await blob.download_blob()
content = await content.readall()
self.assertEqual(b'block 0block 1block 2block 3block 4', content)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_append_block_with_if_modified_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container, blob = await self._create_container_and_append_blob(self.container_name, 'blob1', bsc)
test_datetime = (datetime.utcnow() +
timedelta(minutes=15))
# Act
with self.assertRaises(ResourceModifiedError) as e:
for i in range(5):
resp = await blob.append_block(u'block {0}'.format(i), if_modified_since=test_datetime)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_append_block_with_if_unmodified(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container, blob = await self._create_container_and_append_blob(self.container_name, 'blob1', bsc)
test_datetime = (datetime.utcnow() +
timedelta(minutes=15))
# Act
for i in range(5):
resp = await blob.append_block(u'block {0}'.format(i), if_unmodified_since=test_datetime)
self.assertIsNotNone(resp)
# Assert
content = await blob.download_blob()
content = await content.readall()
self.assertEqual(b'block 0block 1block 2block 3block 4', content)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_append_block_with_if_unmodified_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container, blob = await self._create_container_and_append_blob(self.container_name, 'blob1', bsc)
test_datetime = (datetime.utcnow() -
timedelta(minutes=15))
# Act
with self.assertRaises(ResourceModifiedError) as e:
for i in range(5):
resp = await blob.append_block(u'block {0}'.format(i), if_unmodified_since=test_datetime)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_append_block_with_if_match(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container, blob = await self._create_container_and_append_blob(self.container_name, 'blob1', bsc)
# Act
for i in range(5):
etag = (await blob.get_blob_properties()).etag
resp = await blob.append_block(u'block {0}'.format(i), etag=etag, match_condition=MatchConditions.IfNotModified)
self.assertIsNotNone(resp)
# Assert
content = await blob.download_blob()
content = await content.readall()
self.assertEqual(b'block 0block 1block 2block 3block 4', content)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_append_block_with_if_match_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container, blob = await self._create_container_and_append_blob(self.container_name, 'blob1', bsc)
# Act
with self.assertRaises(HttpResponseError) as e:
for i in range(5):
resp = await blob.append_block(u'block {0}'.format(i), etag='0x111111111111111', match_condition=MatchConditions.IfNotModified)
# Assert
#self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_append_block_with_if_none_match(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container, blob = await self._create_container_and_append_blob(self.container_name, 'blob1', bsc)
# Act
for i in range(5):
resp = await blob.append_block(u'block {0}'.format(i), etag='0x8D2C9167D53FC2C', match_condition=MatchConditions.IfModified)
self.assertIsNotNone(resp)
# Assert
content = await blob.download_blob()
content = await content.readall()
self.assertEqual(b'block 0block 1block 2block 3block 4', content)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_append_block_with_if_none_match_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
container, blob = await self._create_container_and_append_blob(self.container_name, 'blob1', bsc)
# Act
with self.assertRaises(ResourceModifiedError) as e:
for i in range(5):
etag = (await blob.get_blob_properties()).etag
resp = await blob.append_block(u'block {0}'.format(i), etag=etag, match_condition=MatchConditions.IfModified)
# Assert
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_append_blob_from_bytes_with_if_modified(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
blob_name = self.get_resource_name("blob")
container, blob = await self._create_container_and_append_blob(self.container_name, blob_name, bsc)
test_datetime = (datetime.utcnow() - timedelta(minutes=15))
# Act
data = self.get_random_bytes(LARGE_APPEND_BLOB_SIZE)
await blob.upload_blob(data, blob_type=BlobType.AppendBlob, if_modified_since=test_datetime)
# Assert
content = await blob.download_blob()
content = await content.readall()
self.assertEqual(data, content)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_apnd_blob_from_bytes_with_if_mod_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
blob_name = self.get_resource_name("blob")
container, blob = await self._create_container_and_append_blob(self.container_name, blob_name, bsc)
test_datetime = (datetime.utcnow() + timedelta(minutes=15))
# Act
with self.assertRaises(ResourceModifiedError) as e:
data = self.get_random_bytes(LARGE_APPEND_BLOB_SIZE)
await blob.upload_blob(data, blob_type=BlobType.AppendBlob, if_modified_since=test_datetime)
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_append_blob_from_bytes_with_if_unmodified(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
blob_name = self.get_resource_name("blob")
container, blob = await self._create_container_and_append_blob(self.container_name, blob_name, bsc)
test_datetime = (datetime.utcnow() + timedelta(minutes=15))
# Act
data = self.get_random_bytes(LARGE_APPEND_BLOB_SIZE)
await blob.upload_blob(data, blob_type=BlobType.AppendBlob, if_unmodified_since=test_datetime)
# Assert
content = await blob.download_blob()
content = await content.readall()
self.assertEqual(data, content)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_append_blob_from_bytes_with_if_unmod_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
blob_name = self.get_resource_name("blob")
container, blob = await self._create_container_and_append_blob(self.container_name, blob_name, bsc)
test_datetime = (datetime.utcnow() - timedelta(minutes=15))
# Act
with self.assertRaises(ResourceModifiedError) as e:
data = self.get_random_bytes(LARGE_APPEND_BLOB_SIZE)
await blob.upload_blob(data, blob_type=BlobType.AppendBlob, if_unmodified_since=test_datetime)
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_append_blob_from_bytes_with_if_match(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
blob_name = self.get_resource_name("blob")
container, blob = await self._create_container_and_append_blob(self.container_name, blob_name, bsc)
test_etag = (await blob.get_blob_properties()).etag
# Act
data = self.get_random_bytes(LARGE_APPEND_BLOB_SIZE)
await blob.upload_blob(data, blob_type=BlobType.AppendBlob, etag=test_etag, match_condition=MatchConditions.IfNotModified)
# Assert
content = await blob.download_blob()
content = await content.readall()
self.assertEqual(data, content)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_append_blob_from_bytes_with_if_match_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
blob_name = self.get_resource_name("blob")
container, blob = await self._create_container_and_append_blob(self.container_name, blob_name, bsc)
test_etag = '0x8D2C9167D53FC2C'
# Act
with self.assertRaises(ResourceModifiedError) as e:
data = self.get_random_bytes(LARGE_APPEND_BLOB_SIZE)
await blob.upload_blob(data, blob_type=BlobType.AppendBlob, etag=test_etag, match_condition=MatchConditions.IfNotModified)
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_append_blob_from_bytes_with_if_none_match(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
blob_name = self.get_resource_name("blob")
container, blob = await self._create_container_and_append_blob(self.container_name, blob_name, bsc)
test_etag = '0x8D2C9167D53FC2C'
# Act
data = self.get_random_bytes(LARGE_APPEND_BLOB_SIZE)
await blob.upload_blob(data, blob_type=BlobType.AppendBlob, etag=test_etag, match_condition=MatchConditions.IfModified)
# Assert
content = await blob.download_blob()
content = await content.readall()
self.assertEqual(data, content)
@BlobPreparer()
@AsyncStorageTestCase.await_prepared_test
async def test_apnd_blob_from_bytes_if_none_match_fail(self, storage_account_name, storage_account_key):
bsc = BlobServiceClient(self.account_url(storage_account_name, "blob"), storage_account_key, connection_data_block_size=4 * 1024, transport=AiohttpTestTransport())
self._setup()
blob_name = self.get_resource_name("blob")
container, blob = await self._create_container_and_append_blob(self.container_name, blob_name, bsc)
test_etag = (await blob.get_blob_properties()).etag
# Act
with self.assertRaises(ResourceModifiedError) as e:
data = self.get_random_bytes(LARGE_APPEND_BLOB_SIZE)
await blob.upload_blob(data, blob_type=BlobType.AppendBlob, etag=test_etag, match_condition=MatchConditions.IfModified)
self.assertEqual(StorageErrorCode.condition_not_met, e.exception.error_code)
# ------------------------------------------------------------------------------
| 49.895303 | 171 | 0.70916 | 14,321 | 125,337 | 5.850429 | 0.021926 | 0.088227 | 0.056717 | 0.045426 | 0.956913 | 0.95369 | 0.946314 | 0.941206 | 0.936348 | 0.930261 | 0 | 0.020459 | 0.197029 | 125,337 | 2,511 | 172 | 49.915173 | 0.812037 | 0.020592 | 0 | 0.810175 | 0 | 0 | 0.035224 | 0.001404 | 0 | 0 | 0.003887 | 0 | 0.131291 | 1 | 0.001094 | false | 0 | 0.008206 | 0 | 0.013129 | 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 |
ce5da1148fc6647bced30e60aad6ecd51bd9a263 | 91 | py | Python | Python/HW_SO.py | PushpneetSingh/Hello-world | def0f44737e02fb40063cd347e93e456658e2532 | [
"MIT"
] | 1,428 | 2018-10-03T15:15:17.000Z | 2019-03-31T18:38:36.000Z | Python/HW_SO.py | PushpneetSingh/Hello-world | def0f44737e02fb40063cd347e93e456658e2532 | [
"MIT"
] | 1,162 | 2018-10-03T15:05:49.000Z | 2018-10-18T14:17:52.000Z | Python/HW_SO.py | PushpneetSingh/Hello-world | def0f44737e02fb40063cd347e93e456658e2532 | [
"MIT"
] | 3,909 | 2018-10-03T15:07:19.000Z | 2019-03-31T18:39:08.000Z | print(" Hello, World! It's Sahaj Oberoi!!")
print("Hello, World! It's Guneet Singh also!!") | 45.5 | 47 | 0.681319 | 15 | 91 | 4.133333 | 0.666667 | 0.322581 | 0.483871 | 0.548387 | 0.580645 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.120879 | 91 | 2 | 47 | 45.5 | 0.775 | 0 | 0 | 0 | 0 | 0 | 0.782609 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 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 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 8 |
ce745924eb6b43a28e1a8fa2145bf9b04f5186a8 | 6,075 | py | Python | smart_instant_pot/tests/test_message_bus.py | tdicola/Smart_Instant_Pot | b2e4b9deec3f1813f737c94041f315eccce9978d | [
"MIT"
] | 3 | 2018-12-16T21:01:47.000Z | 2021-03-17T19:10:27.000Z | smart_instant_pot/tests/test_message_bus.py | tdicola/Smart_Instant_Pot | b2e4b9deec3f1813f737c94041f315eccce9978d | [
"MIT"
] | null | null | null | smart_instant_pot/tests/test_message_bus.py | tdicola/Smart_Instant_Pot | b2e4b9deec3f1813f737c94041f315eccce9978d | [
"MIT"
] | null | null | null | # Smart Instant Pot Message Bus Tests
# Author: Tony DiCola
import time
import unittest
from smart_instant_pot.services.message_bus import SimpleMessageBus, RedisThreadedMessageBus
class TestSimpleMessageBus(unittest.TestCase):
def test_subscribe_and_publish_one_subscriber(self):
# Test basic subscribe and publish to a channel works.
bus = SimpleMessageBus()
callback_calls = []
def callback(channel, message):
callback_calls.append({'channel': channel, 'message': message})
bus.subscribe('foo', callback)
bus.publish('foo', 'bar')
self.assertEqual(len(callback_calls), 1)
self.assertDictEqual(callback_calls[0], {'channel': b'foo',
'message': b'bar'})
def test_subscribe_and_publish_multi_subscriber(self):
# Test multiple subscribers receive the same published message.
bus = SimpleMessageBus()
callback1_calls = []
def callback1(channel, message):
callback1_calls.append({'channel': channel, 'message': message})
callback2_calls = []
def callback2(channel, message):
callback2_calls.append({'channel': channel, 'message': message})
bus.subscribe('foo', callback1)
bus.subscribe('foo', callback2)
bus.publish('foo', 'bar')
self.assertEqual(len(callback1_calls), 1)
self.assertDictEqual(callback1_calls[0], {'channel': b'foo',
'message': b'bar'})
self.assertEqual(len(callback2_calls), 1)
self.assertDictEqual(callback2_calls[0], {'channel': b'foo',
'message': b'bar'})
def test_subscribe_then_unsubscribe_and_publish(self):
# Test unsubscribe removes a subscriber from future notifications.
bus = SimpleMessageBus()
callback_calls = []
def callback(channel, message):
callback_calls.append({'channel': channel, 'message': message})
bus.subscribe('foo', callback)
bus.publish('foo', 'bar')
bus.unsubscribe('foo', callback)
bus.publish('foo', 'baz')
self.assertEqual(len(callback_calls), 1)
self.assertDictEqual(callback_calls[0], {'channel': b'foo',
'message': b'bar'})
def test_publish_no_subscribers_does_nothing(self):
# Test publish does nothing when no subscribers are on the channel.
bus = SimpleMessageBus()
callback_calls = []
def callback(channel, message):
callback_calls.append({'channel': channel, 'message': message})
bus.subscribe('foo', callback)
bus.publish('bar', 'bar')
self.assertEqual(len(callback_calls), 0)
#@unittest.skip("Redis message bus integration tests must be manually run with redis.")
class TestRedisThreadedMessageBus(unittest.TestCase):
REDIS_HOST = 'redis'
DELIVER_DELAY = 2.0 # Time to wait for messages to be delivered.
# Simple but not ideal (consider polling for expected
# state).
def setUp(self):
self._bus = RedisThreadedMessageBus(namespace='test',
host=self.REDIS_HOST)
def tearDown(self):
self._bus.deinit()
self._bus = None
def test_subscribe_and_publish_one_subscriber(self):
# Test basic subscribe and publish to a channel works.
callback_calls = []
def callback(channel, message):
callback_calls.append({'channel': channel, 'message': message})
self._bus.subscribe('foo', callback)
self._bus.publish('foo', 'bar')
time.sleep(self.DELIVER_DELAY)
self.assertEqual(len(callback_calls), 1)
self.assertDictEqual(callback_calls[0], {'channel': b'foo',
'message': b'bar'})
def test_subscribe_and_publish_multi_subscriber(self):
# Test multiple subscribers receive the same published message.
callback1_calls = []
def callback1(channel, message):
callback1_calls.append({'channel': channel, 'message': message})
callback2_calls = []
def callback2(channel, message):
callback2_calls.append({'channel': channel, 'message': message})
self._bus.subscribe('foo', callback1)
self._bus.subscribe('foo', callback2)
self._bus.publish('foo', 'bar')
time.sleep(self.DELIVER_DELAY)
self.assertEqual(len(callback1_calls), 1)
self.assertDictEqual(callback1_calls[0], {'channel': b'foo',
'message': b'bar'})
self.assertEqual(len(callback2_calls), 1)
self.assertDictEqual(callback2_calls[0], {'channel': b'foo',
'message': b'bar'})
def test_subscribe_then_unsubscribe_and_publish(self):
# Test unsubscribe removes a subscriber from future notifications.
callback_calls = []
def callback(channel, message):
callback_calls.append({'channel': channel, 'message': message})
self._bus.subscribe('foo', callback)
self._bus.publish('foo', 'bar')
self._bus.unsubscribe('foo', callback)
self._bus.publish('foo', 'baz')
time.sleep(self.DELIVER_DELAY)
self.assertEqual(len(callback_calls), 1)
self.assertDictEqual(callback_calls[0], {'channel': b'foo',
'message': b'bar'})
def test_publish_no_subscribers_does_nothing(self):
# Test publish does nothing when no subscribers are on the channel.
callback_calls = []
def callback(channel, message):
callback_calls.append({'channel': channel, 'message': message})
self._bus.subscribe('foo', callback)
self._bus.publish('bar', 'bar')
time.sleep(self.DELIVER_DELAY)
self.assertEqual(len(callback_calls), 0)
| 44.021739 | 92 | 0.607243 | 630 | 6,075 | 5.693651 | 0.150794 | 0.079732 | 0.050181 | 0.069696 | 0.816002 | 0.808196 | 0.790354 | 0.785894 | 0.785894 | 0.781712 | 0 | 0.01005 | 0.279342 | 6,075 | 137 | 93 | 44.343066 | 0.809274 | 0.121152 | 0 | 0.785047 | 0 | 0 | 0.076071 | 0 | 0 | 0 | 0 | 0 | 0.168224 | 1 | 0.186916 | false | 0 | 0.028037 | 0 | 0.252336 | 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 |
ce93aede8ad02ee1ddc78593d230cb6bf7c95806 | 160 | py | Python | geekshop/adminapp/utils.py | klim1286/django | d4d0fc73e920cfcbaa88ac37a0c37359836b6789 | [
"MIT"
] | null | null | null | geekshop/adminapp/utils.py | klim1286/django | d4d0fc73e920cfcbaa88ac37a0c37359836b6789 | [
"MIT"
] | null | null | null | geekshop/adminapp/utils.py | klim1286/django | d4d0fc73e920cfcbaa88ac37a0c37359836b6789 | [
"MIT"
] | null | null | null | from django.contrib.auth.decorators import user_passes_test
def superuser_required(function):
return user_passes_test(lambda u: u.is_superuser)(function)
| 26.666667 | 63 | 0.825 | 23 | 160 | 5.478261 | 0.73913 | 0.15873 | 0.222222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.1 | 160 | 5 | 64 | 32 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0.666667 | 0.333333 | 0.333333 | 1 | 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 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 8 |
ced3f80c0b9fd5ba5f5b7017679b657ed57fcab0 | 174 | py | Python | user/admin.py | Parametricall/portfolio_backend | ad00ee17536a49270137c69a53c7fa6869108094 | [
"MIT"
] | null | null | null | user/admin.py | Parametricall/portfolio_backend | ad00ee17536a49270137c69a53c7fa6869108094 | [
"MIT"
] | null | null | null | user/admin.py | Parametricall/portfolio_backend | ad00ee17536a49270137c69a53c7fa6869108094 | [
"MIT"
] | null | null | null | # from django.contrib import admin
# from django.contrib.auth.models import User
# from django.contrib.auth.admin import UserAdmin
#
#
# admin.site.register(User, UserAdmin)
| 24.857143 | 49 | 0.781609 | 24 | 174 | 5.666667 | 0.458333 | 0.220588 | 0.375 | 0.308824 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.114943 | 174 | 6 | 50 | 29 | 0.883117 | 0.925287 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
0c7d924427bf7c7771cbcbc10b5c795d5e8584fd | 9,097 | py | Python | ksteta3pi/PotentialBackgrounds/MC_12_13104093_MagUp.py.py | Williams224/davinci-scripts | 730642d2ff13543eca4073a4ce0932631195de56 | [
"MIT"
] | null | null | null | ksteta3pi/PotentialBackgrounds/MC_12_13104093_MagUp.py.py | Williams224/davinci-scripts | 730642d2ff13543eca4073a4ce0932631195de56 | [
"MIT"
] | null | null | null | ksteta3pi/PotentialBackgrounds/MC_12_13104093_MagUp.py.py | Williams224/davinci-scripts | 730642d2ff13543eca4073a4ce0932631195de56 | [
"MIT"
] | null | null | null | #-- GAUDI jobOptions generated on Fri Jul 24 17:21:43 2015
#-- Contains event types :
#-- 13104093 - 92 files - 2038028 events - 551.09 GBytes
#-- Extra information about the data processing phases:
#-- Processing Pass Step-124834
#-- StepId : 124834
#-- StepName : Reco14a for MC
#-- ApplicationName : Brunel
#-- ApplicationVersion : v43r2p7
#-- OptionFiles : $APPCONFIGOPTS/Brunel/DataType-2012.py;$APPCONFIGOPTS/Brunel/MC-WithTruth.py;$APPCONFIGOPTS/Persistency/Compression-ZLIB-1.py
#-- DDDB : fromPreviousStep
#-- CONDDB : fromPreviousStep
#-- ExtraPackages : AppConfig.v3r164
#-- Visible : Y
#-- Processing Pass Step-125836
#-- StepId : 125836
#-- StepName : Stripping20-NoPrescalingFlagged for Sim08 - Implicit merging.
#-- ApplicationName : DaVinci
#-- ApplicationVersion : v32r2p1
#-- OptionFiles : $APPCONFIGOPTS/DaVinci/DV-Stripping20-Stripping-MC-NoPrescaling.py;$APPCONFIGOPTS/DaVinci/DataType-2012.py;$APPCONFIGOPTS/DaVinci/InputType-DST.py;$APPCONFIGOPTS/Persistency/Compression-ZLIB-1.py
#-- DDDB : fromPreviousStep
#-- CONDDB : fromPreviousStep
#-- ExtraPackages : AppConfig.v3r164
#-- Visible : Y
from Gaudi.Configuration import *
from GaudiConf import IOHelper
IOHelper('ROOT').inputFiles(['LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000001_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000002_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000003_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000004_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000005_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000006_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000007_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000008_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000009_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000010_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000011_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000012_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000013_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000014_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000015_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000016_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000017_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000018_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000019_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000020_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000021_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000022_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000023_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000024_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000025_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000026_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000027_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000028_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000029_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000030_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000031_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000032_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000033_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000034_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000035_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000041_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000042_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000043_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000044_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000045_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000046_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000047_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000048_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000049_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000050_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000051_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000052_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000053_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000054_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000055_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000056_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000057_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000058_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000059_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000060_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000061_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000062_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000063_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000064_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000065_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000066_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000067_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000068_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000069_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000070_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000071_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000072_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000073_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000074_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000075_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000076_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000077_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000078_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000079_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000080_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000081_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000082_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000083_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000084_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000085_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000086_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000087_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000088_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000089_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000090_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000091_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000092_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000093_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000094_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000095_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000096_2.AllStreams.dst',
'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00040734/0000/00040734_00000097_2.AllStreams.dst'
], clear=True)
| 70.51938 | 215 | 0.810157 | 1,329 | 9,097 | 5.407073 | 0.134688 | 0.332869 | 0.115224 | 0.166435 | 0.800167 | 0.800167 | 0.800167 | 0.800167 | 0.800167 | 0.793766 | 0 | 0.354649 | 0.03045 | 9,097 | 128 | 216 | 71.070313 | 0.460091 | 0.122018 | 0 | 0 | 1 | 0.968421 | 0.936448 | 0.935946 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.021053 | 0 | 0.021053 | 0 | 0 | 0 | 0 | null | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 15 |
0caff21e8a5e8845f74544143a6735052b697d55 | 730 | py | Python | __version__.py | pakal/multitimer | 75a19880a367d83b6ad611e3e95518245e763685 | [
"MIT"
] | null | null | null | __version__.py | pakal/multitimer | 75a19880a367d83b6ad611e3e95518245e763685 | [
"MIT"
] | null | null | null | __version__.py | pakal/multitimer | 75a19880a367d83b6ad611e3e95518245e763685 | [
"MIT"
] | null | null | null | # 88 88 88
# 88 ,d "" ,d ""
# 88 88 88
# 88,dPYba,,adPYba, 88 88 88 MM88MMM 88 MM88MMM 88 88,dPYba,,adPYba, ,adPPYba, 8b,dPPYba,
# 88P' "88" "8a 88 88 88 88 88 88 88 88P' "88" "8a a8P_____88 88P' "Y8
# 88 88 88 88 88 88 88 88 88 88 88 88 88 8PP""""""" 88
# 88 88 88 "8a, ,a88 88 88, 88 88, 88 88 88 88 "8b, ,aa 88
# 88 88 88 `"YbbdP'Y8 88 "Y888 88 "Y888 88 88 88 88 `"Ybbd8"' 88
__version__ = '0.2'
| 66.363636 | 108 | 0.330137 | 91 | 730 | 2.549451 | 0.230769 | 0.741379 | 0.853448 | 0.827586 | 0.241379 | 0.241379 | 0.241379 | 0.181034 | 0.112069 | 0.112069 | 0 | 0.491803 | 0.582192 | 730 | 10 | 109 | 73 | 0.268852 | 0.90137 | 0 | 0 | 0 | 0 | 0.103448 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
0cc5760dbc616e5ff242860adc2cb8315ce5c498 | 7,807 | py | Python | tests/q_functions_tests/test_state_action_q_function.py | ummavi/pfrl-1 | e856a7cca30fcc3871024cdf7522d066006a5f0c | [
"MIT"
] | 824 | 2020-07-29T00:30:14.000Z | 2022-03-29T13:12:34.000Z | tests/q_functions_tests/test_state_action_q_function.py | ummavi/pfrl-1 | e856a7cca30fcc3871024cdf7522d066006a5f0c | [
"MIT"
] | 124 | 2020-07-30T01:53:47.000Z | 2022-03-15T07:05:38.000Z | tests/q_functions_tests/test_state_action_q_function.py | ummavi/pfrl-1 | e856a7cca30fcc3871024cdf7522d066006a5f0c | [
"MIT"
] | 122 | 2020-07-29T04:33:35.000Z | 2022-03-13T13:29:41.000Z | import unittest
import basetest_state_action_q_function as base
import pytest
import torch.nn.functional as F
import pfrl
assertions = unittest.TestCase("__init__")
@pytest.mark.parametrize("n_dim_obs", [1, 5])
@pytest.mark.parametrize("n_dim_action", [1, 3])
@pytest.mark.parametrize("n_hidden_layers", [0, 1, 2])
@pytest.mark.parametrize("n_hidden_channels", [1, 2])
@pytest.mark.parametrize("nonlinearity", ["relu", "elu"])
@pytest.mark.parametrize("last_wscale", [1, 1e-3])
class TestFCSAQFunction(base._TestSAQFunction):
@pytest.fixture(autouse=True)
def setUp(
self,
n_dim_obs,
n_dim_action,
n_hidden_layers,
n_hidden_channels,
nonlinearity,
last_wscale,
):
self.n_dim_obs = n_dim_obs
self.n_dim_action = n_dim_action
self.n_hidden_layers = n_hidden_layers
self.n_hidden_channels = n_hidden_channels
self.nonlinearity = nonlinearity
self.last_wscale = last_wscale
def _test_call(self, gpu):
nonlinearity = getattr(F, self.nonlinearity)
model = pfrl.q_functions.FCSAQFunction(
n_dim_obs=self.n_dim_obs,
n_dim_action=self.n_dim_action,
n_hidden_layers=self.n_hidden_layers,
n_hidden_channels=self.n_hidden_channels,
nonlinearity=nonlinearity,
last_wscale=self.last_wscale,
)
self._test_call_given_model(model, gpu)
def test_call_cpu(self):
self._test_call(gpu=-1)
@pytest.mark.gpu
def test_call_gpu(self):
self._test_call(gpu=0)
@pytest.mark.skip
@pytest.mark.parametrize("n_dim_obs", [1, 5])
@pytest.mark.parametrize("n_dim_action", [1, 3])
@pytest.mark.parametrize("n_hidden_layers", [0, 1, 2])
@pytest.mark.parametrize("n_hidden_channels", [1, 2])
@pytest.mark.parametrize("nonlinearity", ["relu", "elu"])
@pytest.mark.parametrize("last_wscale", [1, 1e-3])
class TestFCLSTMSAQFunction(base._TestSAQFunction):
@pytest.fixture(autouse=True)
def setUp(
self,
n_dim_obs,
n_dim_action,
n_hidden_layers,
n_hidden_channels,
nonlinearity,
last_wscale,
):
self.n_dim_obs = n_dim_obs
self.n_dim_action = n_dim_action
self.n_hidden_layers = n_hidden_layers
self.n_hidden_channels = n_hidden_channels
self.nonlinearity = nonlinearity
self.last_wscale = last_wscale
def _test_call(self, gpu):
nonlinearity = getattr(F, self.nonlinearity)
model = pfrl.q_functions.FCLSTMSAQFunction(
n_dim_obs=self.n_dim_obs,
n_dim_action=self.n_dim_action,
n_hidden_layers=self.n_hidden_layers,
n_hidden_channels=self.n_hidden_channels,
nonlinearity=nonlinearity,
last_wscale=self.last_wscale,
)
self._test_call_given_model(model, gpu)
def test_call_cpu(self):
self._test_call(gpu=-1)
@pytest.mark.gpu
def test_call_gpu(self):
self._test_call(gpu=0)
@pytest.mark.parametrize("n_dim_obs", [1, 5])
@pytest.mark.parametrize("n_dim_action", [1, 3])
@pytest.mark.parametrize("n_hidden_layers", [0, 1, 2])
@pytest.mark.parametrize("n_hidden_channels", [1, 2])
@pytest.mark.parametrize("normalize_input", [True, False])
@pytest.mark.parametrize("nonlinearity", ["relu", "elu"])
@pytest.mark.parametrize("last_wscale", [1, 1e-3])
class TestFCBNSAQFunction(base._TestSAQFunction):
@pytest.fixture(autouse=True)
def setUp(
self,
n_dim_obs,
n_dim_action,
n_hidden_layers,
n_hidden_channels,
normalize_input,
nonlinearity,
last_wscale,
):
self.n_dim_obs = n_dim_obs
self.n_dim_action = n_dim_action
self.n_hidden_layers = n_hidden_layers
self.n_hidden_channels = n_hidden_channels
self.normalize_input = normalize_input
self.nonlinearity = nonlinearity
self.last_wscale = last_wscale
def _test_call(self, gpu):
nonlinearity = getattr(F, self.nonlinearity)
model = pfrl.q_functions.FCBNSAQFunction(
n_dim_obs=self.n_dim_obs,
n_dim_action=self.n_dim_action,
n_hidden_layers=self.n_hidden_layers,
n_hidden_channels=self.n_hidden_channels,
normalize_input=self.normalize_input,
nonlinearity=nonlinearity,
last_wscale=self.last_wscale,
)
self._test_call_given_model(model, gpu)
def test_call_cpu(self):
self._test_call(gpu=-1)
@pytest.mark.gpu
def test_call_gpu(self):
self._test_call(gpu=0)
@pytest.mark.parametrize("n_dim_obs", [1, 5])
@pytest.mark.parametrize("n_dim_action", [1, 3])
# LateAction requires n_hidden_layers >=1
@pytest.mark.parametrize("n_hidden_layers", [1, 2])
@pytest.mark.parametrize("n_hidden_channels", [1, 2])
@pytest.mark.parametrize("normalize_input", [True, False])
@pytest.mark.parametrize("nonlinearity", ["relu", "elu"])
@pytest.mark.parametrize("last_wscale", [1, 1e-3])
class TestFCBNLateActionSAQFunction(base._TestSAQFunction):
@pytest.fixture(autouse=True)
def setUp(
self,
n_dim_obs,
n_dim_action,
n_hidden_layers,
n_hidden_channels,
normalize_input,
nonlinearity,
last_wscale,
):
self.n_dim_obs = n_dim_obs
self.n_dim_action = n_dim_action
self.n_hidden_layers = n_hidden_layers
self.n_hidden_channels = n_hidden_channels
self.normalize_input = normalize_input
self.nonlinearity = nonlinearity
self.last_wscale = last_wscale
def _test_call(self, gpu):
nonlinearity = getattr(F, self.nonlinearity)
model = pfrl.q_functions.FCBNLateActionSAQFunction(
n_dim_obs=self.n_dim_obs,
n_dim_action=self.n_dim_action,
n_hidden_layers=self.n_hidden_layers,
n_hidden_channels=self.n_hidden_channels,
normalize_input=self.normalize_input,
nonlinearity=nonlinearity,
last_wscale=self.last_wscale,
)
self._test_call_given_model(model, gpu)
def test_call_cpu(self):
self._test_call(gpu=-1)
@pytest.mark.gpu
def test_call_gpu(self):
self._test_call(gpu=0)
@pytest.mark.parametrize("n_dim_obs", [1, 5])
@pytest.mark.parametrize("n_dim_action", [1, 3])
# LateAction requires n_hidden_layers >=1
@pytest.mark.parametrize("n_hidden_layers", [1, 2])
@pytest.mark.parametrize("n_hidden_channels", [1, 2])
@pytest.mark.parametrize("nonlinearity", ["relu", "elu"])
@pytest.mark.parametrize("last_wscale", [1, 1e-3])
class TestFCLateActionSAQFunction(base._TestSAQFunction):
@pytest.fixture(autouse=True)
def setUp(
self,
n_dim_obs,
n_dim_action,
n_hidden_layers,
n_hidden_channels,
nonlinearity,
last_wscale,
):
self.n_dim_obs = n_dim_obs
self.n_dim_action = n_dim_action
self.n_hidden_layers = n_hidden_layers
self.n_hidden_channels = n_hidden_channels
self.nonlinearity = nonlinearity
self.last_wscale = last_wscale
def _test_call(self, gpu):
nonlinearity = getattr(F, self.nonlinearity)
model = pfrl.q_functions.FCLateActionSAQFunction(
n_dim_obs=self.n_dim_obs,
n_dim_action=self.n_dim_action,
n_hidden_layers=self.n_hidden_layers,
n_hidden_channels=self.n_hidden_channels,
nonlinearity=nonlinearity,
last_wscale=self.last_wscale,
)
self._test_call_given_model(model, gpu)
def test_call_cpu(self):
self._test_call(gpu=-1)
@pytest.mark.gpu
def test_call_gpu(self):
self._test_call(gpu=0)
| 32.394191 | 59 | 0.667606 | 1,020 | 7,807 | 4.743137 | 0.067647 | 0.089706 | 0.1389 | 0.090947 | 0.92931 | 0.92931 | 0.92931 | 0.92931 | 0.92931 | 0.92931 | 0 | 0.011587 | 0.226207 | 7,807 | 240 | 60 | 32.529167 | 0.789273 | 0.010119 | 0 | 0.895238 | 0 | 0 | 0.058641 | 0 | 0 | 0 | 0 | 0 | 0.004762 | 1 | 0.095238 | false | 0 | 0.02381 | 0 | 0.142857 | 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 |
0cf9415844d265b78ca63663efd3ae1213876ecc | 3,418 | py | Python | pyaurorax/cli/util/commands.py | fossabot/pyaurorax | cb3e72a90f3107302d4f9fd4b0478fe98616354d | [
"MIT"
] | null | null | null | pyaurorax/cli/util/commands.py | fossabot/pyaurorax | cb3e72a90f3107302d4f9fd4b0478fe98616354d | [
"MIT"
] | 45 | 2021-11-07T22:02:23.000Z | 2022-03-09T03:04:27.000Z | pyaurorax/cli/util/commands.py | fossabot/pyaurorax | cb3e72a90f3107302d4f9fd4b0478fe98616354d | [
"MIT"
] | 1 | 2022-01-16T17:28:14.000Z | 2022-01-16T17:28:14.000Z | import click
import datetime
import pyaurorax
from dateutil.parser import parse
@click.group("util", help="Utility commands")
def utility_group():
pass
@utility_group.command("ground_to_nbtrace",
short_help="Convert ground location to north B-trace location")
@click.argument("lat", type=click.FloatRange(min=-90.0, max=90.0))
@click.argument("lon", type=click.FloatRange(min=-180.0, max=180.0))
@click.option("--timestamp",
type=str,
default=datetime.datetime.now().strftime("%Y-%m-%dT%H:%M:%S"),
show_default=True,
help="timestamp to use when converting in ISO format "
"(YYYY-mm-ddTHH:MM:SS), defaults to current time")
@click.pass_obj
def ground_to_nbtrace(config, lat, lon, timestamp):
"""
Convert a geographic location (assumed to be on the ground) to a north
B-trace location. Note that the timestamp is needed since the B-trace
values are derived using magnetic coordinates
\n
Important! If you supply negative numbers, prefix it with '--' to
tell the terminal to not evaluate dash (-) characters as options
after it. For example, "aurorax-cli util ground_to_nbtrace -- 90.0 -120.0"
\b
LAT the latitude, in geographic coordinates (-90 to 90)
LON the longitude, in geographic coordinates (-180 to 180)
"""
# set location object
input_location = pyaurorax.Location(lat=lat, lon=lon)
click.echo("Inputted location:\t%s" % (input_location))
# interpret time
ts = parse(timestamp)
click.echo("Timestamp:\t\t%s" % (ts.isoformat()))
# get nbtrace location
nbtrace = pyaurorax.util.ground_geo_to_nbtrace(input_location, ts)
# output
click.echo("\nDerived north B-trace:\t%s" % (nbtrace))
@utility_group.command("ground_to_sbtrace",
short_help="Convert ground location to south B-trace location")
@click.argument("lat", type=click.FloatRange(min=-90.0, max=90.0))
@click.argument("lon", type=click.FloatRange(min=-180.0, max=180.0))
@click.option("--timestamp",
type=str,
default=datetime.datetime.now().strftime("%Y-%m-%dT%H:%M:%S"),
show_default=True,
help="timestamp to use when converting in ISO format "
"(YYYY-mm-ddTHH:MM:SS), defaults to current time")
@click.pass_obj
def ground_to_sbtrace(config, lat, lon, timestamp):
"""
Convert a geographic location (assumed to be on the ground) to a south
B-trace location. Note that the timestamp is needed since the B-trace
values are derived using magnetic coordinates
\n
Important! If you supply negative numbers, prefix it with '--' to
tell the terminal to not evaluate dash (-) characters as options
after it. For example, "aurorax-cli util ground_to_nbtrace -- 90.0 -120.0"
\b
LAT the latitude, in geographic coordinates (-90 to 90)
LON the longitude, in geographic coordinates (-180 to 180)
"""
# set location object
input_location = pyaurorax.Location(lat=lat, lon=lon)
click.echo("Inputted location:\t%s" % (input_location))
# interpret time
ts = parse(timestamp)
click.echo("Timestamp:\t\t%s" % (ts.isoformat()))
# get nbtrace location
nbtrace = pyaurorax.util.ground_geo_to_sbtrace(input_location, ts)
# output
click.echo("\nDerived south B-trace:\t%s" % (nbtrace))
| 37.152174 | 86 | 0.667642 | 479 | 3,418 | 4.695198 | 0.25261 | 0.028457 | 0.026679 | 0.039129 | 0.914184 | 0.876834 | 0.848377 | 0.814584 | 0.814584 | 0.814584 | 0 | 0.023031 | 0.212405 | 3,418 | 91 | 87 | 37.56044 | 0.812407 | 0.341135 | 0 | 0.604651 | 0 | 0 | 0.252573 | 0.02058 | 0 | 0 | 0 | 0 | 0 | 1 | 0.069767 | false | 0.069767 | 0.093023 | 0 | 0.162791 | 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 |
0b352287a42c8e86757681b8f109b5b0153ba283 | 159 | py | Python | app/core/admin.py | zahraakhlaghi/api_test | 4488e80e014d0ee93af9daa09d7db5a327a9c5b0 | [
"MIT"
] | null | null | null | app/core/admin.py | zahraakhlaghi/api_test | 4488e80e014d0ee93af9daa09d7db5a327a9c5b0 | [
"MIT"
] | null | null | null | app/core/admin.py | zahraakhlaghi/api_test | 4488e80e014d0ee93af9daa09d7db5a327a9c5b0 | [
"MIT"
] | null | null | null | from django.contrib import admin
from core import models
admin.site.register(models.Category)
admin.site.register(models.Post)
admin.site.register(models.Tag) | 26.5 | 36 | 0.830189 | 24 | 159 | 5.5 | 0.5 | 0.204545 | 0.386364 | 0.522727 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.069182 | 159 | 6 | 37 | 26.5 | 0.891892 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.4 | 0 | 0.4 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 7 |
0b419015fe4f5303a7356378b9b45c92debf8994 | 13,097 | py | Python | torchbenchmark/models/fastNLP/reproduction/sequence_labelling/chinese_ner/LatticeLSTM/models.py | Chillee/benchmark | 91e1b2871327e44b9b7d24d173ca93720fb6565b | [
"BSD-3-Clause"
] | 2,693 | 2018-03-08T03:09:20.000Z | 2022-03-30T07:38:42.000Z | reproduction/sequence_labelling/chinese_ner/LatticeLSTM/models.py | stratoes/fastNLP | a8a458230489710ab945b37ec22e93315230f2de | [
"Apache-2.0"
] | 291 | 2018-07-21T07:43:17.000Z | 2022-03-07T13:06:58.000Z | reproduction/sequence_labelling/chinese_ner/LatticeLSTM/models.py | stratoes/fastNLP | a8a458230489710ab945b37ec22e93315230f2de | [
"Apache-2.0"
] | 514 | 2018-03-09T06:54:25.000Z | 2022-03-26T20:11:44.000Z | import torch.nn as nn
from fastNLP.embeddings import StaticEmbedding
from fastNLP.modules import LSTM, ConditionalRandomField
import torch
from fastNLP import seq_len_to_mask
from utils import better_init_rnn,print_info
class LatticeLSTM_SeqLabel(nn.Module):
def __init__(self, char_embed, bigram_embed, word_embed, hidden_size, label_size, bias=True, bidirectional=False,
device=None, embed_dropout=0, output_dropout=0, skip_batch_first=True,debug=False,
skip_before_head=False,use_bigram=True,vocabs=None):
if device is None:
self.device = torch.device('cpu')
else:
self.device = torch.device(device)
from modules import LatticeLSTMLayer_sup_back_V0
super().__init__()
self.debug = debug
self.skip_batch_first = skip_batch_first
self.char_embed_size = char_embed.embedding.weight.size(1)
self.bigram_embed_size = bigram_embed.embedding.weight.size(1)
self.word_embed_size = word_embed.embedding.weight.size(1)
self.hidden_size = hidden_size
self.label_size = label_size
self.bidirectional = bidirectional
self.use_bigram = use_bigram
self.vocabs = vocabs
if self.use_bigram:
self.input_size = self.char_embed_size + self.bigram_embed_size
else:
self.input_size = self.char_embed_size
self.char_embed = char_embed
self.bigram_embed = bigram_embed
self.word_embed = word_embed
self.encoder = LatticeLSTMLayer_sup_back_V0(self.input_size,self.word_embed_size,
self.hidden_size,
left2right=True,
bias=bias,
device=self.device,
debug=self.debug,
skip_before_head=skip_before_head)
if self.bidirectional:
self.encoder_back = LatticeLSTMLayer_sup_back_V0(self.input_size,
self.word_embed_size, self.hidden_size,
left2right=False,
bias=bias,
device=self.device,
debug=self.debug,
skip_before_head=skip_before_head)
self.output = nn.Linear(self.hidden_size * (2 if self.bidirectional else 1), self.label_size)
self.crf = ConditionalRandomField(label_size, True)
self.crf.trans_m = nn.Parameter(torch.zeros(size=[label_size, label_size],requires_grad=True))
if self.crf.include_start_end_trans:
self.crf.start_scores = nn.Parameter(torch.zeros(size=[label_size],requires_grad=True))
self.crf.end_scores = nn.Parameter(torch.zeros(size=[label_size],requires_grad=True))
self.loss_func = nn.CrossEntropyLoss()
self.embed_dropout = nn.Dropout(embed_dropout)
self.output_dropout = nn.Dropout(output_dropout)
def forward(self, chars, bigrams, seq_len, target,
skips_l2r_source, skips_l2r_word, lexicon_count,
skips_r2l_source=None, skips_r2l_word=None, lexicon_count_back=None):
# print('skips_l2r_word_id:{}'.format(skips_l2r_word.size()))
batch = chars.size(0)
max_seq_len = chars.size(1)
# max_lexicon_count = skips_l2r_word.size(2)
embed_char = self.char_embed(chars)
if self.use_bigram:
embed_bigram = self.bigram_embed(bigrams)
embedding = torch.cat([embed_char, embed_bigram], dim=-1)
else:
embedding = embed_char
embed_nonword = self.embed_dropout(embedding)
# skips_l2r_word = torch.reshape(skips_l2r_word,shape=[batch,-1])
embed_word = self.word_embed(skips_l2r_word)
embed_word = self.embed_dropout(embed_word)
# embed_word = torch.reshape(embed_word,shape=[batch,max_seq_len,max_lexicon_count,-1])
encoded_h, encoded_c = self.encoder(embed_nonword, seq_len, skips_l2r_source, embed_word, lexicon_count)
if self.bidirectional:
embed_word_back = self.word_embed(skips_r2l_word)
embed_word_back = self.embed_dropout(embed_word_back)
encoded_h_back, encoded_c_back = self.encoder_back(embed_nonword, seq_len, skips_r2l_source,
embed_word_back, lexicon_count_back)
encoded_h = torch.cat([encoded_h, encoded_h_back], dim=-1)
encoded_h = self.output_dropout(encoded_h)
pred = self.output(encoded_h)
mask = seq_len_to_mask(seq_len)
if self.training:
loss = self.crf(pred, target, mask)
return {'loss': loss}
else:
pred, path = self.crf.viterbi_decode(pred, mask)
return {'pred': pred}
# batch_size, sent_len = pred.shape[0], pred.shape[1]
# loss = self.loss_func(pred.reshape(batch_size * sent_len, -1), target.reshape(batch_size * sent_len))
# return {'pred':pred,'loss':loss}
class LatticeLSTM_SeqLabel_V1(nn.Module):
def __init__(self, char_embed, bigram_embed, word_embed, hidden_size, label_size, bias=True, bidirectional=False,
device=None, embed_dropout=0, output_dropout=0, skip_batch_first=True,debug=False,
skip_before_head=False,use_bigram=True,vocabs=None,gaz_dropout=0):
if device is None:
self.device = torch.device('cpu')
else:
self.device = torch.device(device)
from modules import LatticeLSTMLayer_sup_back_V1
super().__init__()
self.count = 0
self.debug = debug
self.skip_batch_first = skip_batch_first
self.char_embed_size = char_embed.embedding.weight.size(1)
self.bigram_embed_size = bigram_embed.embedding.weight.size(1)
self.word_embed_size = word_embed.embedding.weight.size(1)
self.hidden_size = hidden_size
self.label_size = label_size
self.bidirectional = bidirectional
self.use_bigram = use_bigram
self.vocabs = vocabs
if self.use_bigram:
self.input_size = self.char_embed_size + self.bigram_embed_size
else:
self.input_size = self.char_embed_size
self.char_embed = char_embed
self.bigram_embed = bigram_embed
self.word_embed = word_embed
self.encoder = LatticeLSTMLayer_sup_back_V1(self.input_size,self.word_embed_size,
self.hidden_size,
left2right=True,
bias=bias,
device=self.device,
debug=self.debug,
skip_before_head=skip_before_head)
if self.bidirectional:
self.encoder_back = LatticeLSTMLayer_sup_back_V1(self.input_size,
self.word_embed_size, self.hidden_size,
left2right=False,
bias=bias,
device=self.device,
debug=self.debug,
skip_before_head=skip_before_head)
self.output = nn.Linear(self.hidden_size * (2 if self.bidirectional else 1), self.label_size)
self.crf = ConditionalRandomField(label_size, True)
self.crf.trans_m = nn.Parameter(torch.zeros(size=[label_size, label_size],requires_grad=True))
if self.crf.include_start_end_trans:
self.crf.start_scores = nn.Parameter(torch.zeros(size=[label_size],requires_grad=True))
self.crf.end_scores = nn.Parameter(torch.zeros(size=[label_size],requires_grad=True))
self.loss_func = nn.CrossEntropyLoss()
self.embed_dropout = nn.Dropout(embed_dropout)
self.gaz_dropout = nn.Dropout(gaz_dropout)
self.output_dropout = nn.Dropout(output_dropout)
def forward(self, chars, bigrams, seq_len, target,
skips_l2r_source, skips_l2r_word, lexicon_count,
skips_r2l_source=None, skips_r2l_word=None, lexicon_count_back=None):
batch = chars.size(0)
max_seq_len = chars.size(1)
embed_char = self.char_embed(chars)
if self.use_bigram:
embed_bigram = self.bigram_embed(bigrams)
embedding = torch.cat([embed_char, embed_bigram], dim=-1)
else:
embedding = embed_char
embed_nonword = self.embed_dropout(embedding)
# skips_l2r_word = torch.reshape(skips_l2r_word,shape=[batch,-1])
embed_word = self.word_embed(skips_l2r_word)
embed_word = self.embed_dropout(embed_word)
encoded_h, encoded_c = self.encoder(embed_nonword, seq_len, skips_l2r_source, embed_word, lexicon_count)
if self.bidirectional:
embed_word_back = self.word_embed(skips_r2l_word)
embed_word_back = self.embed_dropout(embed_word_back)
encoded_h_back, encoded_c_back = self.encoder_back(embed_nonword, seq_len, skips_r2l_source,
embed_word_back, lexicon_count_back)
encoded_h = torch.cat([encoded_h, encoded_h_back], dim=-1)
encoded_h = self.output_dropout(encoded_h)
pred = self.output(encoded_h)
mask = seq_len_to_mask(seq_len)
if self.training:
loss = self.crf(pred, target, mask)
return {'loss': loss}
else:
pred, path = self.crf.viterbi_decode(pred, mask)
return {'pred': pred}
class LSTM_SeqLabel(nn.Module):
def __init__(self, char_embed, bigram_embed, word_embed, hidden_size, label_size, bias=True,
bidirectional=False, device=None, embed_dropout=0, output_dropout=0,use_bigram=True):
if device is None:
self.device = torch.device('cpu')
else:
self.device = torch.device(device)
super().__init__()
self.char_embed_size = char_embed.embedding.weight.size(1)
self.bigram_embed_size = bigram_embed.embedding.weight.size(1)
self.word_embed_size = word_embed.embedding.weight.size(1)
self.hidden_size = hidden_size
self.label_size = label_size
self.bidirectional = bidirectional
self.use_bigram = use_bigram
self.char_embed = char_embed
self.bigram_embed = bigram_embed
self.word_embed = word_embed
if self.use_bigram:
self.input_size = self.char_embed_size + self.bigram_embed_size
else:
self.input_size = self.char_embed_size
self.encoder = LSTM(self.input_size, self.hidden_size,
bidirectional=self.bidirectional)
better_init_rnn(self.encoder.lstm)
self.output = nn.Linear(self.hidden_size * (2 if self.bidirectional else 1), self.label_size)
self.debug = True
self.loss_func = nn.CrossEntropyLoss()
self.embed_dropout = nn.Dropout(embed_dropout)
self.output_dropout = nn.Dropout(output_dropout)
self.crf = ConditionalRandomField(label_size, True)
def forward(self, chars, bigrams, seq_len, target):
if self.debug:
print_info('chars:{}'.format(chars.size()))
print_info('bigrams:{}'.format(bigrams.size()))
print_info('seq_len:{}'.format(seq_len.size()))
print_info('target:{}'.format(target.size()))
embed_char = self.char_embed(chars)
if self.use_bigram:
embed_bigram = self.bigram_embed(bigrams)
embedding = torch.cat([embed_char, embed_bigram], dim=-1)
else:
embedding = embed_char
embedding = self.embed_dropout(embedding)
encoded_h, encoded_c = self.encoder(embedding, seq_len)
encoded_h = self.output_dropout(encoded_h)
pred = self.output(encoded_h)
mask = seq_len_to_mask(seq_len)
# pred = self.crf(pred)
# batch_size, sent_len = pred.shape[0], pred.shape[1]
# loss = self.loss_func(pred.reshape(batch_size * sent_len, -1), target.reshape(batch_size * sent_len))
if self.debug:
print('debug mode:finish')
exit(1208)
if self.training:
loss = self.crf(pred, target, mask)
return {'loss': loss}
else:
pred, path = self.crf.viterbi_decode(pred, mask)
return {'pred': pred}
| 42.11254 | 117 | 0.599068 | 1,555 | 13,097 | 4.731833 | 0.074598 | 0.032618 | 0.031802 | 0.025415 | 0.888693 | 0.888693 | 0.879315 | 0.879315 | 0.874151 | 0.874151 | 0 | 0.008916 | 0.314881 | 13,097 | 310 | 118 | 42.248387 | 0.8111 | 0.051844 | 0 | 0.85022 | 0 | 0 | 0.007013 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.026432 | false | 0 | 0.035242 | 0 | 0.101322 | 0.026432 | 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 |
0b88cd34174317ea26521317702896ac84ef4aaf | 398 | py | Python | logic_gates.py | ChristopherKlix/logic_gates | 8ebfce5dbe789667adaa4ff887e66a8e67a894fb | [
"MIT"
] | null | null | null | logic_gates.py | ChristopherKlix/logic_gates | 8ebfce5dbe789667adaa4ff887e66a8e67a894fb | [
"MIT"
] | null | null | null | logic_gates.py | ChristopherKlix/logic_gates | 8ebfce5dbe789667adaa4ff887e66a8e67a894fb | [
"MIT"
] | null | null | null | def and_gate(input_a, input_b):
return 1 if input_a and input_b else 0
def or_gate(input_a, input_b):
return 1 if input_a or input_b else 0
def nand_gate(input_a, input_b):
return 0 if and_gate(input_a, input_b) else 1
def nor_gate(input_a, input_b):
return 0 if or_gate(input_a, input_b) else 1
def xor_gate(input_a, input_b):
return 1 if not input_a == input_b else 0
| 20.947368 | 49 | 0.723618 | 87 | 398 | 3 | 0.183908 | 0.229885 | 0.337165 | 0.367816 | 0.915709 | 0.747126 | 0.708812 | 0.708812 | 0.237548 | 0.237548 | 0 | 0.031646 | 0.20603 | 398 | 18 | 50 | 22.111111 | 0.794304 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | false | 0 | 0 | 0.5 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 10 |
e7eaba843f182844d38353eed90476403efda2f5 | 3,553 | py | Python | hummingbot/client/test_performance_analysis.py | rnw2000/hummingbot | 812691718b6738a27a2fc65ace60776e43129070 | [
"Apache-2.0"
] | null | null | null | hummingbot/client/test_performance_analysis.py | rnw2000/hummingbot | 812691718b6738a27a2fc65ace60776e43129070 | [
"Apache-2.0"
] | 15 | 2020-08-17T07:08:56.000Z | 2020-08-25T03:22:48.000Z | hummingbot/client/test_performance_analysis.py | rnw2000/hummingbot | 812691718b6738a27a2fc65ace60776e43129070 | [
"Apache-2.0"
] | null | null | null | import math
import unittest
from hummingbot.client.performance_analysis import PerformanceAnalysis
class TestPerformanceAnalysis(unittest.TestCase):
def test_basic_one_ex(self):
""" Test performance analysis on a one exchange balance. """
performance_analysis = PerformanceAnalysis()
performance_analysis.add_balances("WETH", 0.5, True, True)
performance_analysis.add_balances("DAI", 60, False, True)
performance_analysis.add_balances("WETH", 0.4, True, False)
performance_analysis.add_balances("DAI", 70, False, False)
calculated_percent = performance_analysis.compute_profitability(50)
expected_percent = (((0.4 * 50) + 70)/((0.5 * 50) + 60) - 1) * 100
self.assertEqual(calculated_percent, expected_percent, "Basic one ex test failed.")
def test_basic_two_ex(self):
""" Test performance analysis on a two exchange balance with the same currencies trading in both exchanges. """
performance_analysis = PerformanceAnalysis()
performance_analysis.add_balances("WETH", 0.5, True, True)
performance_analysis.add_balances("DAI", 60, False, True)
performance_analysis.add_balances("WETH", 0.7, True, True)
performance_analysis.add_balances("DAI", 50, False, True)
performance_analysis.add_balances("WETH", 0.4, True, False)
performance_analysis.add_balances("DAI", 70, False, False)
performance_analysis.add_balances("WETH", 0.3, True, False)
performance_analysis.add_balances("DAI", 70, False, False)
calculated_percent = performance_analysis.compute_profitability(50)
expected_percent = (((0.7 * 50) + 140)/((1.2 * 50) + 110) - 1) * 100
self.assertEqual(calculated_percent, expected_percent, "Basic one ex test failed.")
def test_different_tokens_two_ex(self):
""" Test performance analysis on a two exchange balance with different currencies trading. Note that this test
will not work as the config file that contains the conversion has not been loaded."""
performance_analysis = PerformanceAnalysis()
performance_analysis.add_balances("WETH", 0.5, True, True)
performance_analysis.add_balances("DAI", 60, False, True)
performance_analysis.add_balances("ETH", 0.7, True, True)
performance_analysis.add_balances("USD", 50, False, True)
performance_analysis.add_balances("WETH", 0.4, True, False)
performance_analysis.add_balances("DAI", 70, False, False)
performance_analysis.add_balances("ETH", 0.3, True, False)
performance_analysis.add_balances("USD", 70, False, False)
calculated_percent = performance_analysis.compute_profitability(50)
expected_percent = (((0.7 * 50) + 140)/((1.2 * 50) + 110) - 1) * 100
self.assertAlmostEquals(calculated_percent, expected_percent, msg="Two diff token test failed.", delta=0.1)
def test_nan_starting(self):
""" Test the case where the starting balance is 0. """
performance_analysis = PerformanceAnalysis()
performance_analysis.add_balances("WETH", 0, True, True)
performance_analysis.add_balances("DAI", 0, False, True)
performance_analysis.add_balances("WETH", 0.3, True, False)
performance_analysis.add_balances("DAI", 70, False, False)
calculated_percent = performance_analysis.compute_profitability(50)
self.assertTrue(math.isnan(calculated_percent), "Starting value of 0 test failed.")
if __name__ == "__main__":
unittest.main()
| 55.515625 | 119 | 0.703631 | 436 | 3,553 | 5.516055 | 0.211009 | 0.284407 | 0.219543 | 0.299376 | 0.761331 | 0.758836 | 0.756341 | 0.72474 | 0.671102 | 0.640748 | 0 | 0.038141 | 0.188292 | 3,553 | 63 | 120 | 56.396825 | 0.79577 | 0.111174 | 0 | 0.571429 | 0 | 0 | 0.0637 | 0 | 0 | 0 | 0 | 0 | 0.081633 | 1 | 0.081633 | false | 0 | 0.061224 | 0 | 0.163265 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
e7f70c220acc15a934e0e959889a2af5e8851a46 | 112 | py | Python | 5 Star Python/set/Set .union() Operation.py | TheCodeAlpha26/Hackerrank-Demystified | 03713a8f3a05e5d6dfed6f6808b06340558e2310 | [
"Apache-2.0"
] | 6 | 2021-04-26T17:09:54.000Z | 2021-07-08T17:36:16.000Z | 5 Star Python/set/Set .union() Operation.py | TheCodeAlpha26/Hackerrank-Demystified | 03713a8f3a05e5d6dfed6f6808b06340558e2310 | [
"Apache-2.0"
] | null | null | null | 5 Star Python/set/Set .union() Operation.py | TheCodeAlpha26/Hackerrank-Demystified | 03713a8f3a05e5d6dfed6f6808b06340558e2310 | [
"Apache-2.0"
] | null | null | null | _,s = input(),set(map(int,input().split()))
_,s2 =input(),set(map(int,input().split()))
print(len(s.union(s2)))
| 28 | 43 | 0.616071 | 19 | 112 | 3.526316 | 0.526316 | 0.238806 | 0.328358 | 0.41791 | 0.716418 | 0.716418 | 0 | 0 | 0 | 0 | 0 | 0.018868 | 0.053571 | 112 | 3 | 44 | 37.333333 | 0.613208 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 0.333333 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
f02cf486d088f1f82ee5966380fe7723c4af40c7 | 8 | py | Python | test_data/parse_retree/unexpected/improper_escaping/range_character/unhandled/whitespace/source.py | aas-core-works/aas-core-codegen | afec2cf363b6cb69816e7724a2b58626e2165869 | [
"MIT"
] | 5 | 2021-12-29T12:55:34.000Z | 2022-03-01T17:57:21.000Z | test_data/parse_retree/unexpected/improper_escaping/range_character/unhandled/whitespace/source.py | aas-core-works/aas-core-codegen | afec2cf363b6cb69816e7724a2b58626e2165869 | [
"MIT"
] | 10 | 2021-12-29T02:15:55.000Z | 2022-03-09T11:04:22.000Z | test_data/parse_retree/unexpected/improper_escaping/range_character/unhandled/whitespace/source.py | aas-core-works/aas-core-codegen | afec2cf363b6cb69816e7724a2b58626e2165869 | [
"MIT"
] | 2 | 2021-12-29T01:42:12.000Z | 2022-02-15T13:46:33.000Z | "[\\s]"
| 4 | 7 | 0.125 | 1 | 8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.125 | 8 | 1 | 8 | 8 | 0.142857 | 0.5 | 0 | 0 | 0 | 0 | 0.625 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
f0420bf723c9db163da87a83cfada671b31961ac | 33 | py | Python | torch_geometric_signed_directed/nn/general/__init__.py | SherylHYX/pytorch_geometric_signed_directed | c2dbede0171424cdf7bae7c45c6c1e19a862bcfd | [
"MIT"
] | 38 | 2022-02-09T06:27:14.000Z | 2022-03-29T09:44:14.000Z | torch_geometric_signed_directed/nn/general/__init__.py | SherylHYX/pytorch_geometric_signed_directed | c2dbede0171424cdf7bae7c45c6c1e19a862bcfd | [
"MIT"
] | 17 | 2022-02-09T23:13:35.000Z | 2022-02-21T03:14:36.000Z | torch_geometric_signed_directed/nn/general/__init__.py | SherylHYX/pytorch_geometric_signed_directed | c2dbede0171424cdf7bae7c45c6c1e19a862bcfd | [
"MIT"
] | 6 | 2022-02-09T04:49:17.000Z | 2022-03-29T09:44:17.000Z | from .conv_base import Conv_Base
| 16.5 | 32 | 0.848485 | 6 | 33 | 4.333333 | 0.666667 | 0.615385 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.121212 | 33 | 1 | 33 | 33 | 0.896552 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
f045c326d7beaba5e86a34fab2607bf1f65362b6 | 5,071 | py | Python | amlc/test/test_marginalized_likelihood.py | jegpeek/amlc | 41ebdabc524b4117ecd36300964f693a8c012288 | [
"MIT"
] | 1 | 2021-03-29T04:55:35.000Z | 2021-03-29T04:55:35.000Z | amlc/test/test_marginalized_likelihood.py | jegpeek/amlc | 41ebdabc524b4117ecd36300964f693a8c012288 | [
"MIT"
] | null | null | null | amlc/test/test_marginalized_likelihood.py | jegpeek/amlc | 41ebdabc524b4117ecd36300964f693a8c012288 | [
"MIT"
] | 1 | 2019-07-11T19:12:38.000Z | 2019-07-11T19:12:38.000Z | import pytest
import numpy as np
from scipy.integrate import dblquad
from scipy.optimize import check_grad
from ..marginalized_likelihood import MarginalizedLikelihood
@pytest.fixture
def improper_marginalized_likelihood_example():
np.random.seed(seed=0)
size = 150
continuum_deg = 1
wave_ax = np.linspace(-1, 1, size)
transmittance = 1 - np.abs(np.random.normal(0, 0.2, size))
A_m = np.polynomial.polynomial.polyvander(wave_ax, continuum_deg)
c_true = np.asarray([1., 0.2])
y_sd = np.full(size, 0.2)
y_true = transmittance * (A_m @ c_true)
y_obs = np.random.normal(y_true, y_sd)
return MarginalizedLikelihood(y_obs, y_sd**2, A_m)
@pytest.fixture
def proper_marginalized_likelihood_example():
np.random.seed(seed=0)
size = 150
continuum_deg = 1
wave_ax = np.linspace(-1, 1, size)
transmittance = 1 - np.abs(np.random.normal(0, 0.2, size))
A_m = np.polynomial.polynomial.polyvander(wave_ax, continuum_deg)
c_true = np.asarray([1., 0.2])
y_sd = np.full(size, 0.2)
y_true = transmittance * (A_m @ c_true)
y_obs = np.random.normal(y_true, y_sd)
c_sd = np.asarray([10., 10.])
return MarginalizedLikelihood(y_obs, y_sd**2, A_m, c_cov=c_sd**2)
@pytest.mark.parametrize('arg', ['improper_marginalized_likelihood_example',
'proper_marginalized_likelihood_example'])
def test_marginalized_likelihood(arg, request):
marginalized_likelihood_example = request.getfixturevalue(arg)
np.random.seed(seed=0)
size = marginalized_likelihood_example.y.size
transmittance = 1 - np.abs(np.random.normal(0, 0.2, size))
def differential_func(c1, c0):
c = np.asarray([c0, c1])
return np.exp(marginalized_likelihood_example.get_unmarginalized_likelihood(c, transmittance,
mu_m=1))
gfun = lambda *args : -np.inf
hfun = lambda *args : np.inf
numerical_p, err = dblquad(differential_func, -np.inf, np.inf, gfun, hfun)
analytic_p = np.exp(marginalized_likelihood_example(transmittance, return_logp=True,
mu_m=1)['logp'])
print(numerical_p - analytic_p, err)
assert np.abs(numerical_p - analytic_p) < err
@pytest.mark.parametrize('arg', ['improper_marginalized_likelihood_example',
'proper_marginalized_likelihood_example'])
def test_grad_logp_wrt_d_theta(arg, request):
marginalized_likelihood_example = request.getfixturevalue(arg)
np.random.seed(seed=0)
size = marginalized_likelihood_example.y.size
x0 = 1 - np.abs(np.random.normal(0, 0.2, size))
jac_d_theta = np.identity(size)
def func(x):
return marginalized_likelihood_example(x, mu_m=1, return_logp=True)['logp']
def grad(x):
return marginalized_likelihood_example(x, mu_m=1, return_grad_logp=True,
jac_d_theta=jac_d_theta,
jac_mu_m=0,
jac_mu_b=0)['grad_logp']
assert check_grad(func, grad, x0) < 1.e-2
@pytest.mark.parametrize('arg', ['improper_marginalized_likelihood_example',
'proper_marginalized_likelihood_example'])
def test_grad_logp_wrt_d_mu_m(arg, request):
marginalized_likelihood_example = request.getfixturevalue(arg)
np.random.seed(seed=0)
size = marginalized_likelihood_example.y.size
transmittance = 1 - np.abs(np.random.normal(0, 0.2, size))
x0 = np.ones(size)
jac_mu_m = np.identity(size)
def func(x):
return marginalized_likelihood_example(transmittance, mu_m=x, return_logp=True)['logp']
def grad(x):
return marginalized_likelihood_example(transmittance, mu_m=x, return_grad_logp=True,
jac_d_theta=0,
jac_mu_m=jac_mu_m,
jac_mu_b=0)['grad_logp']
assert check_grad(func, grad, x0) < 1.e-2
@pytest.mark.parametrize('arg', ['improper_marginalized_likelihood_example',
'proper_marginalized_likelihood_example'])
def test_grad_logp_wrt_d_mu_b(arg, request):
marginalized_likelihood_example = request.getfixturevalue(arg)
np.random.seed(seed=0)
size = marginalized_likelihood_example.y.size
transmittance = 1 - np.abs(np.random.normal(0, 0.2, size))
x0 = np.zeros(size)
jac_mu_b = np.identity(size)
def func(x):
return marginalized_likelihood_example(transmittance, mu_m=1, mu_b=x, return_logp=True)['logp']
def grad(x):
return marginalized_likelihood_example(transmittance, mu_m=1, mu_b=x, return_grad_logp=True,
jac_d_theta=0,
jac_mu_m=0,
jac_mu_b=jac_mu_b)['grad_logp']
assert check_grad(func, grad, x0) < 1.e-2
| 43.34188 | 103 | 0.63025 | 668 | 5,071 | 4.508982 | 0.128743 | 0.204515 | 0.250332 | 0.031873 | 0.821713 | 0.782537 | 0.782537 | 0.770916 | 0.770916 | 0.745684 | 0 | 0.023331 | 0.264642 | 5,071 | 116 | 104 | 43.715517 | 0.784393 | 0 | 0 | 0.6 | 0 | 0 | 0.072372 | 0.061526 | 0 | 0 | 0 | 0 | 0.04 | 1 | 0.13 | false | 0 | 0.05 | 0.06 | 0.27 | 0.01 | 0 | 0 | 0 | null | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
b2d6a156d833f4d0a1ac9b2b1d60cc9f0b2ede33 | 20,598 | py | Python | tests/unit/controllers/platform/test_logs.py | sdolenc/aws-elastic-beanstalk-cli | 4167a38bd599a4433c62c1d3516b8836248a4171 | [
"Apache-2.0"
] | 110 | 2020-01-15T22:58:46.000Z | 2022-03-27T20:47:33.000Z | tests/unit/controllers/platform/test_logs.py | QPC-database/aws-elastic-beanstalk-cli | 87ad9d8bbe5e4e7cb01b1bd4392eda33cb1943f7 | [
"Apache-2.0"
] | 89 | 2020-01-15T23:18:34.000Z | 2022-03-31T21:56:05.000Z | tests/unit/controllers/platform/test_logs.py | QPC-database/aws-elastic-beanstalk-cli | 87ad9d8bbe5e4e7cb01b1bd4392eda33cb1943f7 | [
"Apache-2.0"
] | 50 | 2020-01-15T22:58:53.000Z | 2022-02-11T17:39:28.000Z | # Copyright 2018 Amazon.com, Inc. or its affiliates. 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. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompanying this file. This file is
# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
# ANY KIND, either express or implied. See the License for the specific
# language governing permissions and limitations under the License.
import os
import shutil
import mock
import unittest
from ebcli.core import fileoperations
from ebcli.core.ebcore import EB
import ebcli.core.ebpcore
from ebcli.core.ebpcore import EBP
from ebcli.controllers.platform import logs
from ebcli.objects.exceptions import ApplicationWorkspaceNotSupportedError
from ebcli.objects.platform import PlatformVersion
from ebcli.objects.solutionstack import SolutionStack
class LogsTest(unittest.TestCase):
platform = PlatformVersion(
'arn:aws:elasticbeanstalk:us-west-2::platform/PHP 7.1 running on 64bit Amazon Linux/2.6.5'
)
solution_stack = SolutionStack(
'64bit Amazon Linux 2017.09 v4.4.0 running Node.js'
)
def setUp(self):
self.root_dir = os.getcwd()
if not os.path.exists('testDir'):
os.mkdir('testDir')
os.chdir('testDir')
def tearDown(self):
os.chdir(self.root_dir)
shutil.rmtree('testDir')
def setup_platform_workspace(self):
fileoperations.create_config_file(
'my-platform',
'us-west-2',
self.platform.name,
workspace_type='Platform'
)
def setup_application_workspace(self):
fileoperations.create_config_file(
'my-application',
'us-west-2',
self.solution_stack.name,
workspace_type='Application'
)
class TestEBPlatformLogs(LogsTest):
def test_logs__application_workspace__command_not_applicable(self):
self.setup_application_workspace()
with self.assertRaises(ApplicationWorkspaceNotSupportedError) as context_manager:
app = EB(argv=['platform', 'logs'])
app.setup()
app.run()
self.assertEqual(
'This command is not supported outside Platform workspaces.',
str(context_manager.exception)
)
def test_logs__neutral_workspace__command_not_applicable(self):
self.setup_application_workspace()
fileoperations.write_config_setting('global', 'workspace', None)
with self.assertRaises(ApplicationWorkspaceNotSupportedError) as context_manager:
app = EB(argv=['platform', 'logs'])
app.setup()
app.run()
self.assertEqual(
'This command is not supported outside Platform workspaces.',
str(context_manager.exception)
)
@mock.patch('ebcli.controllers.platform.logs.fileoperations.get_platform_name')
@mock.patch('ebcli.controllers.platform.logs.fileoperations.get_platform_version')
@mock.patch('ebcli.controllers.platform.logs.logsops.stream_platform_logs')
@mock.patch('ebcli.controllers.platform.logs.paginate_cloudwatch_logs')
def test_logs__platform_workspace__version_not_specified__stream_argument_not_specified__print_paginated_logs(
self,
paginate_cloudwatch_logs_mock,
stream_platform_logs_mock,
get_platform_version_mock,
get_platform_name_mock
):
self.setup_platform_workspace()
get_platform_name_mock.return_value = 'custom-platform-4'
get_platform_version_mock.return_value = '1.0.3'
app = EB(argv=['platform', 'logs'])
app.setup()
app.run()
paginate_cloudwatch_logs_mock.assert_called_once_with('custom-platform-4', '1.0.3')
stream_platform_logs_mock.assert_not_called()
@mock.patch('ebcli.controllers.platform.logs.fileoperations.get_platform_name')
@mock.patch('ebcli.controllers.platform.logs.fileoperations.get_platform_version')
@mock.patch('ebcli.controllers.platform.logs.logsops.stream_platform_logs')
@mock.patch('ebcli.controllers.platform.logs.paginate_cloudwatch_logs')
def test_logs__platform_workspace__version_specified_and_is_valid_semantic_version(
self,
paginate_cloudwatch_logs_mock,
stream_platform_logs_mock,
get_platform_version_mock,
get_platform_name_mock
):
self.setup_platform_workspace()
get_platform_name_mock.return_value = 'custom-platform-4'
app = EB(argv=['platform', 'logs', '1.0.3'])
app.setup()
app.run()
paginate_cloudwatch_logs_mock.assert_called_once_with('custom-platform-4', '1.0.3')
stream_platform_logs_mock.assert_not_called()
get_platform_version_mock.assert_not_called()
@mock.patch('ebcli.controllers.platform.logs.fileoperations.get_platform_name')
@mock.patch('ebcli.controllers.platform.logs.fileoperations.get_platform_version')
@mock.patch('ebcli.controllers.platform.logs.logsops.stream_platform_logs')
@mock.patch('ebcli.controllers.platform.logs.paginate_cloudwatch_logs')
def test_logs__platform_workspace__version_specified_and_is_valid_platform_arn(
self,
paginate_cloudwatch_logs_mock,
stream_platform_logs_mock,
get_platform_version_mock,
get_platform_name_mock
):
self.setup_platform_workspace()
get_platform_name_mock.return_value = 'custom-platform-4'
app = EB(argv=['platform', 'logs', 'arn:aws:elasticbeanstalk:us-west-2:123123123:platform/custom-platform-4/1.0.3'])
app.setup()
app.run()
paginate_cloudwatch_logs_mock.assert_called_once_with('custom-platform-4', '1.0.3')
stream_platform_logs_mock.assert_not_called()
get_platform_version_mock.assert_not_called()
@mock.patch('ebcli.controllers.platform.logs.fileoperations.get_platform_name')
@mock.patch('ebcli.controllers.platform.logs.fileoperations.get_platform_version')
@mock.patch('ebcli.controllers.platform.logs.logsops.stream_platform_logs')
@mock.patch('ebcli.controllers.platform.logs.paginate_cloudwatch_logs')
def test_logs__platform_workspace__version_specified_and_is_valid_short_format(
self,
paginate_cloudwatch_logs_mock,
stream_platform_logs_mock,
get_platform_version_mock,
get_platform_name_mock
):
self.setup_platform_workspace()
get_platform_name_mock.return_value = 'custom-platform-4'
app = EB(argv=['platform', 'logs', 'custom-platform-4/1.0.3'])
app.setup()
app.run()
paginate_cloudwatch_logs_mock.assert_called_once_with('custom-platform-4', '1.0.3')
stream_platform_logs_mock.assert_not_called()
get_platform_version_mock.assert_not_called()
@mock.patch('ebcli.controllers.platform.logs.fileoperations.get_platform_name')
@mock.patch('ebcli.controllers.platform.logs.fileoperations.get_platform_version')
@mock.patch('ebcli.controllers.platform.logs.logsops.stream_platform_logs')
@mock.patch('ebcli.controllers.platform.logs.paginate_cloudwatch_logs')
def test_logs__platform_workspace__version_specified_and_is_invalid(
self,
paginate_cloudwatch_logs_mock,
stream_platform_logs_mock,
get_platform_version_mock,
get_platform_name_mock
):
self.setup_platform_workspace()
get_platform_name_mock.return_value = 'custom-platform-4'
with self.assertRaises(logs.InvalidPlatformVersionError) as context_manager:
app = EB(argv=['platform', 'logs', '1.0.3.5'])
app.setup()
app.run()
self.assertEqual(
'Invalid version format. Only ARNs, version numbers, or platform_name/version formats are accepted.',
str(context_manager.exception)
)
paginate_cloudwatch_logs_mock.assert_not_called()
stream_platform_logs_mock.assert_not_called()
get_platform_version_mock.assert_not_called()
@mock.patch('ebcli.controllers.platform.logs.fileoperations.get_platform_name')
@mock.patch('ebcli.controllers.platform.logs.fileoperations.get_platform_version')
@mock.patch('ebcli.controllers.platform.logs.logsops.stream_platform_logs')
@mock.patch('ebcli.controllers.platform.logs.paginate_cloudwatch_logs')
@mock.patch('ebcli.controllers.platform.logs.platform_version_ops.PackerStreamFormatter')
def test_logs__platform_workspace__stream_logs(
self,
PackerStreamFormatter_mock,
paginate_cloudwatch_logs_mock,
stream_platform_logs_mock,
get_platform_version_mock,
get_platform_name_mock
):
self.setup_platform_workspace()
streamer_formatter_mock = mock.MagicMock()
PackerStreamFormatter_mock.return_value = streamer_formatter_mock
get_platform_name_mock.return_value = 'custom-platform-4'
app = EB(argv=['platform', 'logs', '1.0.3', '--stream'])
app.setup()
app.run()
paginate_cloudwatch_logs_mock.assert_not_called()
stream_platform_logs_mock.assert_called_once_with(
'custom-platform-4',
'1.0.3',
formatter=streamer_formatter_mock,
log_name='custom-platform-4/1.0.3'
)
get_platform_version_mock.assert_not_called()
@mock.patch('ebcli.controllers.platform.logs.fileoperations.get_platform_name')
@mock.patch('ebcli.controllers.platform.logs.fileoperations.get_platform_version')
@mock.patch('ebcli.controllers.platform.logs.logsops.stream_platform_logs')
@mock.patch('ebcli.controllers.platform.logs.paginate_cloudwatch_logs')
@mock.patch('ebcli.controllers.platform.logs.platform_version_ops.PackerStreamFormatter')
def test_logs__platform_workspace__stream_logs__unable_to_find_cloudwatch_logs(
self,
PackerStreamFormatter_mock,
paginate_cloudwatch_logs_mock,
stream_platform_logs_mock,
get_platform_version_mock,
get_platform_name_mock
):
self.setup_platform_workspace()
streamer_formatter_mock = mock.MagicMock()
PackerStreamFormatter_mock.return_value = streamer_formatter_mock
get_platform_name_mock.return_value = 'custom-platform-4'
stream_platform_logs_mock.side_effect = logs.NotFoundError
with self.assertRaises(logs.NotFoundError) as context_manager:
app = EB(argv=['platform', 'logs', '1.0.3', '--stream'])
app.setup()
app.run()
self.assertEqual(
'Unable to find logs in CloudWatch.',
str(context_manager.exception)
)
paginate_cloudwatch_logs_mock.assert_not_called()
stream_platform_logs_mock.assert_called_once_with(
'custom-platform-4',
'1.0.3',
formatter=streamer_formatter_mock,
log_name='custom-platform-4/1.0.3'
)
get_platform_version_mock.assert_not_called()
class TestEBPLogs(LogsTest):
def test_logs__application_workspace__command_not_applicable(self):
self.setup_application_workspace()
with self.assertRaises(ApplicationWorkspaceNotSupportedError) as context_manager:
app = EBP(argv=['logs'])
app.setup()
app.run()
self.assertEqual(
'This command is not supported outside Platform workspaces.',
str(context_manager.exception)
)
def test_logs__neutral_workspace__command_not_applicable(self):
self.setup_application_workspace()
fileoperations.write_config_setting('global', 'workspace', None)
with self.assertRaises(ApplicationWorkspaceNotSupportedError) as context_manager:
app = EBP(argv=['logs'])
app.setup()
app.run()
self.assertEqual(
'This command is not supported outside Platform workspaces.',
str(context_manager.exception)
)
@mock.patch('ebcli.controllers.platform.logs.fileoperations.get_platform_name')
@mock.patch('ebcli.controllers.platform.logs.fileoperations.get_platform_version')
@mock.patch('ebcli.controllers.platform.logs.logsops.stream_platform_logs')
@mock.patch('ebcli.controllers.platform.logs.paginate_cloudwatch_logs')
def test_logs__platform_workspace__version_not_specified__stream_argument_not_specified__print_paginated_logs(
self,
paginate_cloudwatch_logs_mock,
stream_platform_logs_mock,
get_platform_version_mock,
get_platform_name_mock
):
self.setup_platform_workspace()
get_platform_name_mock.return_value = 'custom-platform-4'
get_platform_version_mock.return_value = '1.0.3'
app = EBP(argv=['logs'])
app.setup()
app.run()
paginate_cloudwatch_logs_mock.assert_called_once_with('custom-platform-4', '1.0.3')
stream_platform_logs_mock.assert_not_called()
@mock.patch('ebcli.controllers.platform.logs.fileoperations.get_platform_name')
@mock.patch('ebcli.controllers.platform.logs.fileoperations.get_platform_version')
@mock.patch('ebcli.controllers.platform.logs.logsops.stream_platform_logs')
@mock.patch('ebcli.controllers.platform.logs.paginate_cloudwatch_logs')
def test_logs__platform_workspace__version_specified_and_is_valid_semantic_version(
self,
paginate_cloudwatch_logs_mock,
stream_platform_logs_mock,
get_platform_version_mock,
get_platform_name_mock
):
self.setup_platform_workspace()
get_platform_name_mock.return_value = 'custom-platform-4'
app = EBP(argv=['logs', '1.0.3'])
app.setup()
app.run()
paginate_cloudwatch_logs_mock.assert_called_once_with('custom-platform-4', '1.0.3')
stream_platform_logs_mock.assert_not_called()
get_platform_version_mock.assert_not_called()
@mock.patch('ebcli.controllers.platform.logs.fileoperations.get_platform_name')
@mock.patch('ebcli.controllers.platform.logs.fileoperations.get_platform_version')
@mock.patch('ebcli.controllers.platform.logs.logsops.stream_platform_logs')
@mock.patch('ebcli.controllers.platform.logs.paginate_cloudwatch_logs')
def test_logs__platform_workspace__version_specified_and_is_valid_platform_arn(
self,
paginate_cloudwatch_logs_mock,
stream_platform_logs_mock,
get_platform_version_mock,
get_platform_name_mock
):
self.setup_platform_workspace()
get_platform_name_mock.return_value = 'custom-platform-4'
app = EBP(argv=['logs', 'arn:aws:elasticbeanstalk:us-west-2:123123123:platform/custom-platform-4/1.0.3'])
app.setup()
app.run()
paginate_cloudwatch_logs_mock.assert_called_once_with('custom-platform-4', '1.0.3')
stream_platform_logs_mock.assert_not_called()
get_platform_version_mock.assert_not_called()
@mock.patch('ebcli.controllers.platform.logs.fileoperations.get_platform_name')
@mock.patch('ebcli.controllers.platform.logs.fileoperations.get_platform_version')
@mock.patch('ebcli.controllers.platform.logs.logsops.stream_platform_logs')
@mock.patch('ebcli.controllers.platform.logs.paginate_cloudwatch_logs')
def test_logs__platform_workspace__version_specified_and_is_valid_short_format(
self,
paginate_cloudwatch_logs_mock,
stream_platform_logs_mock,
get_platform_version_mock,
get_platform_name_mock
):
self.setup_platform_workspace()
get_platform_name_mock.return_value = 'custom-platform-4'
app = EBP(argv=['logs', 'custom-platform-4/1.0.3'])
app.setup()
app.run()
paginate_cloudwatch_logs_mock.assert_called_once_with('custom-platform-4', '1.0.3')
stream_platform_logs_mock.assert_not_called()
get_platform_version_mock.assert_not_called()
@mock.patch('ebcli.controllers.platform.logs.fileoperations.get_platform_name')
@mock.patch('ebcli.controllers.platform.logs.fileoperations.get_platform_version')
@mock.patch('ebcli.controllers.platform.logs.logsops.stream_platform_logs')
@mock.patch('ebcli.controllers.platform.logs.paginate_cloudwatch_logs')
def test_logs__platform_workspace__version_specified_and_is_invalid(
self,
paginate_cloudwatch_logs_mock,
stream_platform_logs_mock,
get_platform_version_mock,
get_platform_name_mock
):
self.setup_platform_workspace()
get_platform_name_mock.return_value = 'custom-platform-4'
with self.assertRaises(logs.InvalidPlatformVersionError) as context_manager:
app = EBP(argv=['logs', '1.0.3.5'])
app.setup()
app.run()
self.assertEqual(
'Invalid version format. Only ARNs, version numbers, or platform_name/version formats are accepted.',
str(context_manager.exception)
)
paginate_cloudwatch_logs_mock.assert_not_called()
stream_platform_logs_mock.assert_not_called()
get_platform_version_mock.assert_not_called()
@mock.patch('ebcli.controllers.platform.logs.fileoperations.get_platform_name')
@mock.patch('ebcli.controllers.platform.logs.fileoperations.get_platform_version')
@mock.patch('ebcli.controllers.platform.logs.logsops.stream_platform_logs')
@mock.patch('ebcli.controllers.platform.logs.paginate_cloudwatch_logs')
@mock.patch('ebcli.controllers.platform.logs.platform_version_ops.PackerStreamFormatter')
def test_logs__platform_workspace__stream_logs(
self,
PackerStreamFormatter_mock,
paginate_cloudwatch_logs_mock,
stream_platform_logs_mock,
get_platform_version_mock,
get_platform_name_mock
):
self.setup_platform_workspace()
streamer_formatter_mock = mock.MagicMock()
PackerStreamFormatter_mock.return_value = streamer_formatter_mock
get_platform_name_mock.return_value = 'custom-platform-4'
app = EBP(argv=['logs', '1.0.3', '--stream'])
app.setup()
app.run()
paginate_cloudwatch_logs_mock.assert_not_called()
stream_platform_logs_mock.assert_called_once_with(
'custom-platform-4',
'1.0.3',
formatter=streamer_formatter_mock,
log_name='custom-platform-4/1.0.3'
)
get_platform_version_mock.assert_not_called()
@mock.patch('ebcli.controllers.platform.logs.fileoperations.get_platform_name')
@mock.patch('ebcli.controllers.platform.logs.fileoperations.get_platform_version')
@mock.patch('ebcli.controllers.platform.logs.logsops.stream_platform_logs')
@mock.patch('ebcli.controllers.platform.logs.paginate_cloudwatch_logs')
@mock.patch('ebcli.controllers.platform.logs.platform_version_ops.PackerStreamFormatter')
def test_logs__platform_workspace__stream_logs__unable_to_find_cloudwatch_logs(
self,
PackerStreamFormatter_mock,
paginate_cloudwatch_logs_mock,
stream_platform_logs_mock,
get_platform_version_mock,
get_platform_name_mock
):
self.setup_platform_workspace()
streamer_formatter_mock = mock.MagicMock()
PackerStreamFormatter_mock.return_value = streamer_formatter_mock
get_platform_name_mock.return_value = 'custom-platform-4'
stream_platform_logs_mock.side_effect = logs.NotFoundError
with self.assertRaises(logs.NotFoundError) as context_manager:
app = EBP(argv=['logs', '1.0.3', '--stream'])
app.setup()
app.run()
self.assertEqual(
'Unable to find logs in CloudWatch.',
str(context_manager.exception)
)
paginate_cloudwatch_logs_mock.assert_not_called()
stream_platform_logs_mock.assert_called_once_with(
'custom-platform-4',
'1.0.3',
formatter=streamer_formatter_mock,
log_name='custom-platform-4/1.0.3'
)
get_platform_version_mock.assert_not_called() | 41.196 | 124 | 0.704632 | 2,395 | 20,598 | 5.691858 | 0.078914 | 0.099472 | 0.107394 | 0.110035 | 0.907424 | 0.907424 | 0.905296 | 0.898694 | 0.898181 | 0.897154 | 0 | 0.010652 | 0.202398 | 20,598 | 500 | 125 | 41.196 | 0.8191 | 0.026022 | 0 | 0.855746 | 0 | 0.007335 | 0.27586 | 0.206284 | 0 | 0 | 0 | 0 | 0.136919 | 1 | 0.05379 | false | 0 | 0.02934 | 0 | 0.095355 | 0.00489 | 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 |
b2e4df82943534edf08deda72133dd3aedab9459 | 1,663 | py | Python | tests/test_protocol.py | hgrecco/pizco | 9e4a431c23af032955884e508ce5fb751f869f7e | [
"BSD-3-Clause"
] | 29 | 2015-02-12T17:45:26.000Z | 2021-04-15T02:10:18.000Z | tests/test_protocol.py | braingram/pizco | 9e4a431c23af032955884e508ce5fb751f869f7e | [
"BSD-3-Clause"
] | 6 | 2015-04-28T08:44:37.000Z | 2020-03-31T00:01:45.000Z | tests/test_protocol.py | hgrecco/pizco | 9e4a431c23af032955884e508ce5fb751f869f7e | [
"BSD-3-Clause"
] | 7 | 2015-06-29T09:10:23.000Z | 2022-03-03T05:18:49.000Z |
import unittest
from pizco.protocol import Protocol
class TestProtocol(unittest.TestCase):
def test_protocol(self):
prot = Protocol()
self.assertRaises(ValueError, prot.parse, [])
msg = prot.format('friend', 'bla', 'here goes the content')
sender, topic, content, msgid = prot.parse(msg)
self.assertEqual(sender, 'friend')
self.assertEqual(topic, 'bla')
self.assertEqual(content, 'here goes the content')
real_id = msg[1]
msg[1] = 'newid'.encode('utf-8')
self.assertRaises(ValueError, prot.parse, msg, check_msgid='wrong id')
self.assertRaises(ValueError, prot.parse, msg, check_sender='another')
msg[-1] = 'fake signature'.encode('utf-8')
msg[1] = real_id
self.assertEqual(sender, 'friend')
self.assertEqual(topic, 'bla')
self.assertEqual(content, 'here goes the content')
def test_protocol_key(self):
prot = Protocol(hmac_key='have a key')
msg = prot.format('friend', 'bla', 'here goes the content')
sender, topic, content, msgid = prot.parse(msg)
self.assertEqual(sender, 'friend')
self.assertEqual(topic, 'bla')
self.assertEqual(content, 'here goes the content')
real_id = msg[1]
msg[1] = 'newid'.encode('utf-8')
self.assertRaises(ValueError, prot.parse, msg, check_msgid='wrong id')
self.assertRaises(ValueError, prot.parse, msg, check_sender='another')
msg[-1] = 'fake signature'.encode('utf-8')
msg[1] = real_id
self.assertRaises(ValueError, prot.parse, msg)
if __name__ == '__main__':
unittest.main()
| 35.382979 | 78 | 0.629585 | 202 | 1,663 | 5.084158 | 0.227723 | 0.131451 | 0.093476 | 0.175268 | 0.824732 | 0.824732 | 0.790652 | 0.757546 | 0.757546 | 0.757546 | 0 | 0.009382 | 0.230908 | 1,663 | 46 | 79 | 36.152174 | 0.793589 | 0 | 0 | 0.694444 | 0 | 0 | 0.154031 | 0 | 0 | 0 | 0 | 0 | 0.416667 | 1 | 0.055556 | false | 0 | 0.055556 | 0 | 0.138889 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
654b8b44f952ae5fabf7c7dba4762157e7124968 | 296 | py | Python | temboo/core/Library/Zendesk/Search/__init__.py | jordanemedlock/psychtruths | 52e09033ade9608bd5143129f8a1bfac22d634dd | [
"Apache-2.0"
] | 7 | 2016-03-07T02:07:21.000Z | 2022-01-21T02:22:41.000Z | temboo/core/Library/Zendesk/Search/__init__.py | jordanemedlock/psychtruths | 52e09033ade9608bd5143129f8a1bfac22d634dd | [
"Apache-2.0"
] | null | null | null | temboo/core/Library/Zendesk/Search/__init__.py | jordanemedlock/psychtruths | 52e09033ade9608bd5143129f8a1bfac22d634dd | [
"Apache-2.0"
] | 8 | 2016-06-14T06:01:11.000Z | 2020-04-22T09:21:44.000Z | from temboo.Library.Zendesk.Search.SearchAll import SearchAll, SearchAllInputSet, SearchAllResultSet, SearchAllChoreographyExecution
from temboo.Library.Zendesk.Search.SearchAnonymous import SearchAnonymous, SearchAnonymousInputSet, SearchAnonymousResultSet, SearchAnonymousChoreographyExecution
| 98.666667 | 162 | 0.905405 | 22 | 296 | 12.181818 | 0.636364 | 0.074627 | 0.126866 | 0.179104 | 0.223881 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.047297 | 296 | 2 | 163 | 148 | 0.950355 | 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 | 1 | 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 | 8 |
e8e4590a312ce0307e58249417a8c66fd85bed9d | 145 | py | Python | Django_Rest_Framework/api/mixer/mixer.py | Drack112/Treina-Web-Django | 555ecce1c351769240eefd4340b63e547f3bd2a9 | [
"MIT"
] | null | null | null | Django_Rest_Framework/api/mixer/mixer.py | Drack112/Treina-Web-Django | 555ecce1c351769240eefd4340b63e547f3bd2a9 | [
"MIT"
] | null | null | null | Django_Rest_Framework/api/mixer/mixer.py | Drack112/Treina-Web-Django | 555ecce1c351769240eefd4340b63e547f3bd2a9 | [
"MIT"
] | null | null | null | from mixer.backend.django import mixer
from api.models import Vaga, Tecnologia
mixer.cycle(100).blend(Tecnologia)
mixer.cycle(100).blend(Vaga)
| 20.714286 | 39 | 0.8 | 22 | 145 | 5.272727 | 0.545455 | 0.258621 | 0.344828 | 0.396552 | 0.482759 | 0 | 0 | 0 | 0 | 0 | 0 | 0.045455 | 0.089655 | 145 | 6 | 40 | 24.166667 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 7 |
33162bbd995a552df1c8370ed744cfcdb3073187 | 11,723 | py | Python | QA/fbmessenger.py | roopakv/probe-cli | a8e5ac470963e95063832d6a48d9e9fbfd82ed79 | [
"BSD-3-Clause"
] | 46 | 2019-05-31T08:06:44.000Z | 2021-02-23T01:48:17.000Z | QA/fbmessenger.py | roopakv/probe-cli | a8e5ac470963e95063832d6a48d9e9fbfd82ed79 | [
"BSD-3-Clause"
] | 674 | 2019-05-21T09:40:03.000Z | 2021-06-11T08:59:24.000Z | QA/fbmessenger.py | roopakv/probe-cli | a8e5ac470963e95063832d6a48d9e9fbfd82ed79 | [
"BSD-3-Clause"
] | 18 | 2019-07-22T19:16:16.000Z | 2021-10-09T20:14:12.000Z | #!/usr/bin/env python3
""" ./QA/fbmessenger.py - main QA script for fbmessenger
This script performs a bunch of fbmessenger tests under censored
network conditions and verifies that the measurement is consistent
with the expectations, by parsing the resulting JSONL. """
import contextlib
import json
import os
import shlex
import socket
import subprocess
import sys
import time
import urllib.parse
sys.path.insert(0, ".")
import common
services = {
"stun": "stun.fbsbx.com",
"b_api": "b-api.facebook.com",
"b_graph": "b-graph.facebook.com",
"edge": "edge-mqtt.facebook.com",
"external_cdn": "external.xx.fbcdn.net",
"scontent_cdn": "scontent.xx.fbcdn.net",
"star": "star.c10r.facebook.com",
}
def execute_jafar_and_return_validated_test_keys(ooni_exe, outfile, tag, args):
""" Executes jafar and returns the validated parsed test keys, or throws
an AssertionError if the result is not valid. """
tk = common.execute_jafar_and_miniooni(
ooni_exe, outfile, "facebook_messenger", tag, args
)
assert tk["requests"] is None
if tk["tcp_connect"] is not None:
assert isinstance(tk["tcp_connect"], list)
assert len(tk["tcp_connect"]) > 0
for entry in tk["tcp_connect"]:
assert isinstance(entry, dict)
assert isinstance(entry["ip"], str)
assert isinstance(entry["port"], int)
assert isinstance(entry["status"], dict)
failure = entry["status"]["failure"]
success = entry["status"]["success"]
assert isinstance(failure, str) or failure is None
assert isinstance(success, bool)
return tk
def helper_for_blocking_services_via_dns(service):
""" Helper for hijacking a service via dns """
args = []
args.append("-iptables-hijack-dns-to")
args.append("127.0.0.1:53")
args.append("-dns-proxy-block")
args.append(service)
return args
def helper_for_hijacking_services_via_dns(service):
""" Helper for hijacking a service via dns """
args = []
args.append("-iptables-hijack-dns-to")
args.append("127.0.0.1:53")
args.append("-dns-proxy-hijack")
args.append(service)
return args
def helper_for_blocking_services_via_tcp(service):
""" Helper for blocking a service via tcp """
args = []
args.append("-iptables-reset-ip")
args.append(service)
return args
def fbmessenger_dns_hijacked_for_all(ooni_exe, outfile):
""" Test case where everything we measure is DNS hijacked """
args = []
for _, value in services.items():
args.extend(helper_for_hijacking_services_via_dns(value))
tk = execute_jafar_and_return_validated_test_keys(
ooni_exe, outfile, "fbmessenger_dns_hijacked_for_all", args,
)
assert tk["facebook_b_api_dns_consistent"] == False
assert tk["facebook_b_api_reachable"] == None
assert tk["facebook_b_graph_dns_consistent"] == False
assert tk["facebook_b_graph_reachable"] == None
assert tk["facebook_edge_dns_consistent"] == False
assert tk["facebook_edge_reachable"] == None
assert tk["facebook_external_cdn_dns_consistent"] == False
assert tk["facebook_external_cdn_reachable"] == None
assert tk["facebook_scontent_cdn_dns_consistent"] == False
assert tk["facebook_scontent_cdn_reachable"] == None
assert tk["facebook_star_dns_consistent"] == False
assert tk["facebook_star_reachable"] == None
assert tk["facebook_stun_dns_consistent"] == False
assert tk["facebook_stun_reachable"] == None
assert tk["facebook_dns_blocking"] == True
assert tk["facebook_tcp_blocking"] == False
def fbmessenger_dns_hijacked_for_some(ooni_exe, outfile):
""" Test case where some endpoints are DNS hijacked """
args = []
args.extend(helper_for_hijacking_services_via_dns(services["star"]))
args.extend(helper_for_hijacking_services_via_dns(services["edge"]))
tk = execute_jafar_and_return_validated_test_keys(
ooni_exe, outfile, "fbmessenger_dns_hijacked_for_some", args,
)
assert tk["facebook_b_api_dns_consistent"] == True
assert tk["facebook_b_api_reachable"] == True
assert tk["facebook_b_graph_dns_consistent"] == True
assert tk["facebook_b_graph_reachable"] == True
assert tk["facebook_edge_dns_consistent"] == False
assert tk["facebook_edge_reachable"] == None
assert tk["facebook_external_cdn_dns_consistent"] == True
assert tk["facebook_external_cdn_reachable"] == True
assert tk["facebook_scontent_cdn_dns_consistent"] == True
assert tk["facebook_scontent_cdn_reachable"] == True
assert tk["facebook_star_dns_consistent"] == False
assert tk["facebook_star_reachable"] == None
assert tk["facebook_stun_dns_consistent"] == True
assert tk["facebook_stun_reachable"] == None
assert tk["facebook_dns_blocking"] == True
assert tk["facebook_tcp_blocking"] == False
def fbmessenger_dns_blocked_for_all(ooni_exe, outfile):
""" Test case where everything we measure is DNS blocked """
args = []
for _, value in services.items():
args.extend(helper_for_blocking_services_via_dns(value))
tk = execute_jafar_and_return_validated_test_keys(
ooni_exe, outfile, "fbmessenger_dns_blocked_for_all", args,
)
assert tk["facebook_b_api_dns_consistent"] == False
assert tk["facebook_b_api_reachable"] == None
assert tk["facebook_b_graph_dns_consistent"] == False
assert tk["facebook_b_graph_reachable"] == None
assert tk["facebook_edge_dns_consistent"] == False
assert tk["facebook_edge_reachable"] == None
assert tk["facebook_external_cdn_dns_consistent"] == False
assert tk["facebook_external_cdn_reachable"] == None
assert tk["facebook_scontent_cdn_dns_consistent"] == False
assert tk["facebook_scontent_cdn_reachable"] == None
assert tk["facebook_star_dns_consistent"] == False
assert tk["facebook_star_reachable"] == None
assert tk["facebook_stun_dns_consistent"] == False
assert tk["facebook_stun_reachable"] == None
assert tk["facebook_dns_blocking"] == True
assert tk["facebook_tcp_blocking"] == False
def fbmessenger_dns_blocked_for_some(ooni_exe, outfile):
""" Test case where some endpoints are DNS blocked """
args = []
args.extend(helper_for_blocking_services_via_dns(services["b_graph"]))
args.extend(helper_for_blocking_services_via_dns(services["stun"]))
tk = execute_jafar_and_return_validated_test_keys(
ooni_exe, outfile, "fbmessenger_dns_blocked_for_some", args,
)
assert tk["facebook_b_api_dns_consistent"] == True
assert tk["facebook_b_api_reachable"] == True
assert tk["facebook_b_graph_dns_consistent"] == False
assert tk["facebook_b_graph_reachable"] == None
assert tk["facebook_edge_dns_consistent"] == True
assert tk["facebook_edge_reachable"] == True
assert tk["facebook_external_cdn_dns_consistent"] == True
assert tk["facebook_external_cdn_reachable"] == True
assert tk["facebook_scontent_cdn_dns_consistent"] == True
assert tk["facebook_scontent_cdn_reachable"] == True
assert tk["facebook_star_dns_consistent"] == True
assert tk["facebook_star_reachable"] == True
assert tk["facebook_stun_dns_consistent"] == False
assert tk["facebook_stun_reachable"] == None
assert tk["facebook_dns_blocking"] == True
assert tk["facebook_tcp_blocking"] == False
def fbmessenger_tcp_blocked_for_all(ooni_exe, outfile):
""" Test case where everything we measure is TCP blocked """
args = []
for _, value in services.items():
args.extend(helper_for_blocking_services_via_tcp(value))
tk = execute_jafar_and_return_validated_test_keys(
ooni_exe, outfile, "fbmessenger_tcp_blocked_for_all", args,
)
assert tk["facebook_b_api_dns_consistent"] == True
assert tk["facebook_b_api_reachable"] == False
assert tk["facebook_b_graph_dns_consistent"] == True
assert tk["facebook_b_graph_reachable"] == False
assert tk["facebook_edge_dns_consistent"] == True
assert tk["facebook_edge_reachable"] == False
assert tk["facebook_external_cdn_dns_consistent"] == True
assert tk["facebook_external_cdn_reachable"] == False
assert tk["facebook_scontent_cdn_dns_consistent"] == True
assert tk["facebook_scontent_cdn_reachable"] == False
assert tk["facebook_star_dns_consistent"] == True
assert tk["facebook_star_reachable"] == False
assert tk["facebook_stun_dns_consistent"] == True
assert tk["facebook_stun_reachable"] == None
assert tk["facebook_dns_blocking"] == False
assert tk["facebook_tcp_blocking"] == True
def fbmessenger_tcp_blocked_for_some(ooni_exe, outfile):
""" Test case where only some endpoints are TCP blocked """
args = []
args.extend(helper_for_blocking_services_via_tcp(services["edge"]))
tk = execute_jafar_and_return_validated_test_keys(
ooni_exe, outfile, "fbmessenger_tcp_blocked_for_some", args,
)
assert tk["facebook_b_api_dns_consistent"] == True
assert tk["facebook_b_api_reachable"] == True
assert tk["facebook_b_graph_dns_consistent"] == True
assert tk["facebook_b_graph_reachable"] == True
assert tk["facebook_edge_dns_consistent"] == True
assert tk["facebook_edge_reachable"] == False
assert tk["facebook_external_cdn_dns_consistent"] == True
assert tk["facebook_external_cdn_reachable"] == True
assert tk["facebook_scontent_cdn_dns_consistent"] == True
assert tk["facebook_scontent_cdn_reachable"] == True
assert tk["facebook_star_dns_consistent"] == True
assert tk["facebook_star_reachable"] == True
assert tk["facebook_stun_dns_consistent"] == True
assert tk["facebook_stun_reachable"] == None
assert tk["facebook_dns_blocking"] == False
assert tk["facebook_tcp_blocking"] == True
def fbmessenger_mixed_results(ooni_exe, outfile):
""" Test case where only some endpoints are TCP blocked """
args = []
args.extend(helper_for_blocking_services_via_tcp(services["edge"]))
args.extend(helper_for_blocking_services_via_dns(services["b_api"]))
tk = execute_jafar_and_return_validated_test_keys(
ooni_exe, outfile, "fbmessenger_tcp_blocked_for_some", args,
)
assert tk["facebook_b_api_dns_consistent"] == False
assert tk["facebook_b_api_reachable"] == None
assert tk["facebook_b_graph_dns_consistent"] == True
assert tk["facebook_b_graph_reachable"] == True
assert tk["facebook_edge_dns_consistent"] == True
assert tk["facebook_edge_reachable"] == False
assert tk["facebook_external_cdn_dns_consistent"] == True
assert tk["facebook_external_cdn_reachable"] == True
assert tk["facebook_scontent_cdn_dns_consistent"] == True
assert tk["facebook_scontent_cdn_reachable"] == True
assert tk["facebook_star_dns_consistent"] == True
assert tk["facebook_star_reachable"] == True
assert tk["facebook_stun_dns_consistent"] == True
assert tk["facebook_stun_reachable"] == None
assert tk["facebook_dns_blocking"] == True
assert tk["facebook_tcp_blocking"] == True
def main():
if len(sys.argv) != 2:
sys.exit("usage: %s /path/to/ooniprobelegacy-like/binary" % sys.argv[0])
outfile = "fbmessenger.jsonl"
ooni_exe = sys.argv[1]
tests = [
fbmessenger_dns_hijacked_for_all,
fbmessenger_dns_hijacked_for_some,
fbmessenger_dns_blocked_for_all,
fbmessenger_dns_blocked_for_some,
fbmessenger_tcp_blocked_for_all,
fbmessenger_tcp_blocked_for_some,
fbmessenger_mixed_results,
]
for test in tests:
test(ooni_exe, outfile)
time.sleep(7)
if __name__ == "__main__":
main()
| 40.84669 | 80 | 0.720464 | 1,538 | 11,723 | 5.124187 | 0.102731 | 0.114706 | 0.227382 | 0.134501 | 0.826672 | 0.799137 | 0.786448 | 0.78556 | 0.77414 | 0.753077 | 0 | 0.002572 | 0.170946 | 11,723 | 286 | 81 | 40.98951 | 0.808314 | 0.073701 | 0 | 0.59322 | 0 | 0 | 0.354356 | 0.321754 | 0 | 0 | 0 | 0 | 0.512712 | 1 | 0.050847 | false | 0 | 0.042373 | 0 | 0.110169 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
332b3bd1074e1d9f5c7b19d058783fca2b840e03 | 50,991 | py | Python | pyboto3/accessanalyzer.py | gehad-shaat/pyboto3 | 4a0c2851a8bc04fb1c71c36086f7bb257e48181d | [
"MIT"
] | 91 | 2016-12-31T11:38:37.000Z | 2021-09-16T19:33:23.000Z | pyboto3/accessanalyzer.py | gehad-shaat/pyboto3 | 4a0c2851a8bc04fb1c71c36086f7bb257e48181d | [
"MIT"
] | 7 | 2017-01-02T18:54:23.000Z | 2020-08-11T13:54:02.000Z | pyboto3/accessanalyzer.py | gehad-shaat/pyboto3 | 4a0c2851a8bc04fb1c71c36086f7bb257e48181d | [
"MIT"
] | 26 | 2016-12-31T13:11:00.000Z | 2022-03-03T21:01:12.000Z | '''
The MIT License (MIT)
Copyright (c) 2016 WavyCloud
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
'''
def can_paginate(operation_name=None):
"""
Check if an operation can be paginated.
:type operation_name: string
:param operation_name: The operation name. This is the same name\nas the method name on the client. For example, if the\nmethod name is create_foo, and you\'d normally invoke the\noperation as client.create_foo(**kwargs), if the\ncreate_foo operation can be paginated, you can use the\ncall client.get_paginator('create_foo').
"""
pass
def create_analyzer(analyzerName=None, archiveRules=None, clientToken=None, tags=None, type=None):
"""
Creates an analyzer for your account.
See also: AWS API Documentation
Exceptions
:example: response = client.create_analyzer(
analyzerName='string',
archiveRules=[
{
'filter': {
'string': {
'contains': [
'string',
],
'eq': [
'string',
],
'exists': True|False,
'neq': [
'string',
]
}
},
'ruleName': 'string'
},
],
clientToken='string',
tags={
'string': 'string'
},
type='ACCOUNT'|'ORGANIZATION'
)
:type analyzerName: string
:param analyzerName: [REQUIRED]\nThe name of the analyzer to create.\n
:type archiveRules: list
:param archiveRules: Specifies the archive rules to add for the analyzer. Archive rules automatically archive findings that meet the criteria you define for the rule.\n\n(dict) --An criterion statement in an archive rule. Each archive rule may have multiple criteria.\n\nfilter (dict) -- [REQUIRED]The condition and values for a criterion.\n\n(string) --\n(dict) --The criteria to use in the filter that defines the archive rule.\n\ncontains (list) --A 'contains' operator to match for the filter used to create the rule.\n\n(string) --\n\n\neq (list) --An 'equals' operator to match for the filter used to create the rule.\n\n(string) --\n\n\nexists (boolean) --An 'exists' operator to match for the filter used to create the rule.\n\nneq (list) --A 'not equals' operator to match for the filter used to create the rule.\n\n(string) --\n\n\n\n\n\n\n\n\nruleName (string) -- [REQUIRED]The name of the rule.\n\n\n\n\n
:type clientToken: string
:param clientToken: A client token.\nThis field is autopopulated if not provided.\n
:type tags: dict
:param tags: The tags to apply to the analyzer.\n\n(string) --\n(string) --\n\n\n\n
:type type: string
:param type: [REQUIRED]\nThe type of analyzer to create. Only ACCOUNT analyzers are supported. You can create only one analyzer per account per Region.\n
:rtype: dict
ReturnsResponse Syntax
{
'arn': 'string'
}
Response Structure
(dict) --
The response to the request to create an analyzer.
arn (string) --
The ARN of the analyzer that was created by the request.
Exceptions
AccessAnalyzer.Client.exceptions.ConflictException
AccessAnalyzer.Client.exceptions.ValidationException
AccessAnalyzer.Client.exceptions.InternalServerException
AccessAnalyzer.Client.exceptions.ServiceQuotaExceededException
AccessAnalyzer.Client.exceptions.ThrottlingException
AccessAnalyzer.Client.exceptions.AccessDeniedException
:return: {
'arn': 'string'
}
:returns:
AccessAnalyzer.Client.exceptions.ConflictException
AccessAnalyzer.Client.exceptions.ValidationException
AccessAnalyzer.Client.exceptions.InternalServerException
AccessAnalyzer.Client.exceptions.ServiceQuotaExceededException
AccessAnalyzer.Client.exceptions.ThrottlingException
AccessAnalyzer.Client.exceptions.AccessDeniedException
"""
pass
def create_archive_rule(analyzerName=None, clientToken=None, filter=None, ruleName=None):
"""
Creates an archive rule for the specified analyzer. Archive rules automatically archive findings that meet the criteria you define when you create the rule.
See also: AWS API Documentation
Exceptions
:example: response = client.create_archive_rule(
analyzerName='string',
clientToken='string',
filter={
'string': {
'contains': [
'string',
],
'eq': [
'string',
],
'exists': True|False,
'neq': [
'string',
]
}
},
ruleName='string'
)
:type analyzerName: string
:param analyzerName: [REQUIRED]\nThe name of the created analyzer.\n
:type clientToken: string
:param clientToken: A client token.\nThis field is autopopulated if not provided.\n
:type filter: dict
:param filter: [REQUIRED]\nThe criteria for the rule.\n\n(string) --\n(dict) --The criteria to use in the filter that defines the archive rule.\n\ncontains (list) --A 'contains' operator to match for the filter used to create the rule.\n\n(string) --\n\n\neq (list) --An 'equals' operator to match for the filter used to create the rule.\n\n(string) --\n\n\nexists (boolean) --An 'exists' operator to match for the filter used to create the rule.\n\nneq (list) --A 'not equals' operator to match for the filter used to create the rule.\n\n(string) --\n\n\n\n\n\n\n\n
:type ruleName: string
:param ruleName: [REQUIRED]\nThe name of the rule to create.\n
:returns:
AccessAnalyzer.Client.exceptions.ResourceNotFoundException
AccessAnalyzer.Client.exceptions.ConflictException
AccessAnalyzer.Client.exceptions.ValidationException
AccessAnalyzer.Client.exceptions.InternalServerException
AccessAnalyzer.Client.exceptions.ServiceQuotaExceededException
AccessAnalyzer.Client.exceptions.ThrottlingException
AccessAnalyzer.Client.exceptions.AccessDeniedException
"""
pass
def delete_analyzer(analyzerName=None, clientToken=None):
"""
Deletes the specified analyzer. When you delete an analyzer, Access Analyzer is disabled for the account in the current or specific Region. All findings that were generated by the analyzer are deleted. You cannot undo this action.
See also: AWS API Documentation
Exceptions
:example: response = client.delete_analyzer(
analyzerName='string',
clientToken='string'
)
:type analyzerName: string
:param analyzerName: [REQUIRED]\nThe name of the analyzer to delete.\n
:type clientToken: string
:param clientToken: A client token.\nThis field is autopopulated if not provided.\n
:returns:
AccessAnalyzer.Client.exceptions.ResourceNotFoundException
AccessAnalyzer.Client.exceptions.ValidationException
AccessAnalyzer.Client.exceptions.InternalServerException
AccessAnalyzer.Client.exceptions.ThrottlingException
AccessAnalyzer.Client.exceptions.AccessDeniedException
"""
pass
def delete_archive_rule(analyzerName=None, clientToken=None, ruleName=None):
"""
Deletes the specified archive rule.
See also: AWS API Documentation
Exceptions
:example: response = client.delete_archive_rule(
analyzerName='string',
clientToken='string',
ruleName='string'
)
:type analyzerName: string
:param analyzerName: [REQUIRED]\nThe name of the analyzer that associated with the archive rule to delete.\n
:type clientToken: string
:param clientToken: A client token.\nThis field is autopopulated if not provided.\n
:type ruleName: string
:param ruleName: [REQUIRED]\nThe name of the rule to delete.\n
:returns:
AccessAnalyzer.Client.exceptions.ResourceNotFoundException
AccessAnalyzer.Client.exceptions.ValidationException
AccessAnalyzer.Client.exceptions.InternalServerException
AccessAnalyzer.Client.exceptions.ThrottlingException
AccessAnalyzer.Client.exceptions.AccessDeniedException
"""
pass
def generate_presigned_url(ClientMethod=None, Params=None, ExpiresIn=None, HttpMethod=None):
"""
Generate a presigned url given a client, its method, and arguments
:type ClientMethod: string
:param ClientMethod: The client method to presign for
:type Params: dict
:param Params: The parameters normally passed to\nClientMethod.
:type ExpiresIn: int
:param ExpiresIn: The number of seconds the presigned url is valid\nfor. By default it expires in an hour (3600 seconds)
:type HttpMethod: string
:param HttpMethod: The http method to use on the generated url. By\ndefault, the http method is whatever is used in the method\'s model.
"""
pass
def get_analyzed_resource(analyzerArn=None, resourceArn=None):
"""
Retrieves information about a resource that was analyzed.
See also: AWS API Documentation
Exceptions
:example: response = client.get_analyzed_resource(
analyzerArn='string',
resourceArn='string'
)
:type analyzerArn: string
:param analyzerArn: [REQUIRED]\nThe ARN of the analyzer to retrieve information from.\n
:type resourceArn: string
:param resourceArn: [REQUIRED]\nThe ARN of the resource to retrieve information about.\n
:rtype: dict
ReturnsResponse Syntax
{
'resource': {
'actions': [
'string',
],
'analyzedAt': datetime(2015, 1, 1),
'createdAt': datetime(2015, 1, 1),
'error': 'string',
'isPublic': True|False,
'resourceArn': 'string',
'resourceOwnerAccount': 'string',
'resourceType': 'AWS::IAM::Role'|'AWS::KMS::Key'|'AWS::Lambda::Function'|'AWS::Lambda::LayerVersion'|'AWS::S3::Bucket'|'AWS::SQS::Queue',
'sharedVia': [
'string',
],
'status': 'ACTIVE'|'ARCHIVED'|'RESOLVED',
'updatedAt': datetime(2015, 1, 1)
}
}
Response Structure
(dict) --
The response to the request.
resource (dict) --
An AnalyedResource object that contains information that Access Analyzer found when it analyzed the resource.
actions (list) --
The actions that an external principal is granted permission to use by the policy that generated the finding.
(string) --
analyzedAt (datetime) --
The time at which the resource was analyzed.
createdAt (datetime) --
The time at which the finding was created.
error (string) --
An error message.
isPublic (boolean) --
Indicates whether the policy that generated the finding grants public access to the resource.
resourceArn (string) --
The ARN of the resource that was analyzed.
resourceOwnerAccount (string) --
The AWS account ID that owns the resource.
resourceType (string) --
The type of the resource that was analyzed.
sharedVia (list) --
Indicates how the access that generated the finding is granted. This is populated for Amazon S3 bucket findings.
(string) --
status (string) --
The current status of the finding generated from the analyzed resource.
updatedAt (datetime) --
The time at which the finding was updated.
Exceptions
AccessAnalyzer.Client.exceptions.ResourceNotFoundException
AccessAnalyzer.Client.exceptions.ValidationException
AccessAnalyzer.Client.exceptions.InternalServerException
AccessAnalyzer.Client.exceptions.ThrottlingException
AccessAnalyzer.Client.exceptions.AccessDeniedException
:return: {
'resource': {
'actions': [
'string',
],
'analyzedAt': datetime(2015, 1, 1),
'createdAt': datetime(2015, 1, 1),
'error': 'string',
'isPublic': True|False,
'resourceArn': 'string',
'resourceOwnerAccount': 'string',
'resourceType': 'AWS::IAM::Role'|'AWS::KMS::Key'|'AWS::Lambda::Function'|'AWS::Lambda::LayerVersion'|'AWS::S3::Bucket'|'AWS::SQS::Queue',
'sharedVia': [
'string',
],
'status': 'ACTIVE'|'ARCHIVED'|'RESOLVED',
'updatedAt': datetime(2015, 1, 1)
}
}
:returns:
(string) --
"""
pass
def get_analyzer(analyzerName=None):
"""
Retrieves information about the specified analyzer.
See also: AWS API Documentation
Exceptions
:example: response = client.get_analyzer(
analyzerName='string'
)
:type analyzerName: string
:param analyzerName: [REQUIRED]\nThe name of the analyzer retrieved.\n
:rtype: dict
ReturnsResponse Syntax{
'analyzer': {
'arn': 'string',
'createdAt': datetime(2015, 1, 1),
'lastResourceAnalyzed': 'string',
'lastResourceAnalyzedAt': datetime(2015, 1, 1),
'name': 'string',
'status': 'ACTIVE'|'CREATING'|'DISABLED'|'FAILED',
'statusReason': {
'code': 'AWS_SERVICE_ACCESS_DISABLED'|'DELEGATED_ADMINISTRATOR_DEREGISTERED'|'ORGANIZATION_DELETED'|'SERVICE_LINKED_ROLE_CREATION_FAILED'
},
'tags': {
'string': 'string'
},
'type': 'ACCOUNT'|'ORGANIZATION'
}
}
Response Structure
(dict) --The response to the request.
analyzer (dict) --An AnalyzerSummary object that contains information about the analyzer.
arn (string) --The ARN of the analyzer.
createdAt (datetime) --A timestamp for the time at which the analyzer was created.
lastResourceAnalyzed (string) --The resource that was most recently analyzed by the analyzer.
lastResourceAnalyzedAt (datetime) --The time at which the most recently analyzed resource was analyzed.
name (string) --The name of the analyzer.
status (string) --The status of the analyzer. An Active analyzer successfully monitors supported resources and generates new findings. The analyzer is Disabled when a user action, such as removing trusted access for IAM Access Analyzer from AWS Organizations, causes the analyzer to stop generating new findings. The status is Creating when the analyzer creation is in progress and Failed when the analyzer creation has failed.
statusReason (dict) --The statusReason provides more details about the current status of the analyzer. For example, if the creation for the analyzer fails, a Failed status is displayed. For an analyzer with organization as the type, this failure can be due to an issue with creating the service-linked roles required in the member accounts of the AWS organization.
code (string) --The reason code for the current status of the analyzer.
tags (dict) --The tags added to the analyzer.
(string) --
(string) --
type (string) --The type of analyzer, which corresponds to the zone of trust chosen for the analyzer.
Exceptions
AccessAnalyzer.Client.exceptions.ResourceNotFoundException
AccessAnalyzer.Client.exceptions.ValidationException
AccessAnalyzer.Client.exceptions.InternalServerException
AccessAnalyzer.Client.exceptions.ThrottlingException
AccessAnalyzer.Client.exceptions.AccessDeniedException
:return: {
'analyzer': {
'arn': 'string',
'createdAt': datetime(2015, 1, 1),
'lastResourceAnalyzed': 'string',
'lastResourceAnalyzedAt': datetime(2015, 1, 1),
'name': 'string',
'status': 'ACTIVE'|'CREATING'|'DISABLED'|'FAILED',
'statusReason': {
'code': 'AWS_SERVICE_ACCESS_DISABLED'|'DELEGATED_ADMINISTRATOR_DEREGISTERED'|'ORGANIZATION_DELETED'|'SERVICE_LINKED_ROLE_CREATION_FAILED'
},
'tags': {
'string': 'string'
},
'type': 'ACCOUNT'|'ORGANIZATION'
}
}
:returns:
AccessAnalyzer.Client.exceptions.ResourceNotFoundException
AccessAnalyzer.Client.exceptions.ValidationException
AccessAnalyzer.Client.exceptions.InternalServerException
AccessAnalyzer.Client.exceptions.ThrottlingException
AccessAnalyzer.Client.exceptions.AccessDeniedException
"""
pass
def get_archive_rule(analyzerName=None, ruleName=None):
"""
Retrieves information about an archive rule.
See also: AWS API Documentation
Exceptions
:example: response = client.get_archive_rule(
analyzerName='string',
ruleName='string'
)
:type analyzerName: string
:param analyzerName: [REQUIRED]\nThe name of the analyzer to retrieve rules from.\n
:type ruleName: string
:param ruleName: [REQUIRED]\nThe name of the rule to retrieve.\n
:rtype: dict
ReturnsResponse Syntax
{
'archiveRule': {
'createdAt': datetime(2015, 1, 1),
'filter': {
'string': {
'contains': [
'string',
],
'eq': [
'string',
],
'exists': True|False,
'neq': [
'string',
]
}
},
'ruleName': 'string',
'updatedAt': datetime(2015, 1, 1)
}
}
Response Structure
(dict) --
The response to the request.
archiveRule (dict) --
Contains information about an archive rule.
createdAt (datetime) --
The time at which the archive rule was created.
filter (dict) --
A filter used to define the archive rule.
(string) --
(dict) --
The criteria to use in the filter that defines the archive rule.
contains (list) --
A "contains" operator to match for the filter used to create the rule.
(string) --
eq (list) --
An "equals" operator to match for the filter used to create the rule.
(string) --
exists (boolean) --
An "exists" operator to match for the filter used to create the rule.
neq (list) --
A "not equals" operator to match for the filter used to create the rule.
(string) --
ruleName (string) --
The name of the archive rule.
updatedAt (datetime) --
The time at which the archive rule was last updated.
Exceptions
AccessAnalyzer.Client.exceptions.ResourceNotFoundException
AccessAnalyzer.Client.exceptions.ValidationException
AccessAnalyzer.Client.exceptions.InternalServerException
AccessAnalyzer.Client.exceptions.ThrottlingException
AccessAnalyzer.Client.exceptions.AccessDeniedException
:return: {
'archiveRule': {
'createdAt': datetime(2015, 1, 1),
'filter': {
'string': {
'contains': [
'string',
],
'eq': [
'string',
],
'exists': True|False,
'neq': [
'string',
]
}
},
'ruleName': 'string',
'updatedAt': datetime(2015, 1, 1)
}
}
:returns:
(string) --
"""
pass
def get_finding(analyzerArn=None, id=None):
"""
Retrieves information about the specified finding.
See also: AWS API Documentation
Exceptions
:example: response = client.get_finding(
analyzerArn='string',
id='string'
)
:type analyzerArn: string
:param analyzerArn: [REQUIRED]\nThe ARN of the analyzer that generated the finding.\n
:type id: string
:param id: [REQUIRED]\nThe ID of the finding to retrieve.\n
:rtype: dict
ReturnsResponse Syntax
{
'finding': {
'action': [
'string',
],
'analyzedAt': datetime(2015, 1, 1),
'condition': {
'string': 'string'
},
'createdAt': datetime(2015, 1, 1),
'error': 'string',
'id': 'string',
'isPublic': True|False,
'principal': {
'string': 'string'
},
'resource': 'string',
'resourceOwnerAccount': 'string',
'resourceType': 'AWS::IAM::Role'|'AWS::KMS::Key'|'AWS::Lambda::Function'|'AWS::Lambda::LayerVersion'|'AWS::S3::Bucket'|'AWS::SQS::Queue',
'sources': [
{
'detail': {
'accessPointArn': 'string'
},
'type': 'BUCKET_ACL'|'POLICY'|'S3_ACCESS_POINT'
},
],
'status': 'ACTIVE'|'ARCHIVED'|'RESOLVED',
'updatedAt': datetime(2015, 1, 1)
}
}
Response Structure
(dict) --
The response to the request.
finding (dict) --
A finding object that contains finding details.
action (list) --
The action in the analyzed policy statement that an external principal has permission to use.
(string) --
analyzedAt (datetime) --
The time at which the resource was analyzed.
condition (dict) --
The condition in the analyzed policy statement that resulted in a finding.
(string) --
(string) --
createdAt (datetime) --
The time at which the finding was generated.
error (string) --
An error.
id (string) --
The ID of the finding.
isPublic (boolean) --
Indicates whether the policy that generated the finding allows public access to the resource.
principal (dict) --
The external principal that access to a resource within the zone of trust.
(string) --
(string) --
resource (string) --
The resource that an external principal has access to.
resourceOwnerAccount (string) --
The AWS account ID that owns the resource.
resourceType (string) --
The type of the resource reported in the finding.
sources (list) --
The sources of the finding. This indicates how the access that generated the finding is granted. It is populated for Amazon S3 bucket findings.
(dict) --
The source of the finding. This indicates how the access that generated the finding is granted. It is populated for Amazon S3 bucket findings.
detail (dict) --
Includes details about how the access that generated the finding is granted. This is populated for Amazon S3 bucket findings.
accessPointArn (string) --
The ARN of the access point that generated the finding.
type (string) --
Indicates the type of access that generated the finding.
status (string) --
The current status of the finding.
updatedAt (datetime) --
The time at which the finding was updated.
Exceptions
AccessAnalyzer.Client.exceptions.ResourceNotFoundException
AccessAnalyzer.Client.exceptions.ValidationException
AccessAnalyzer.Client.exceptions.InternalServerException
AccessAnalyzer.Client.exceptions.ThrottlingException
AccessAnalyzer.Client.exceptions.AccessDeniedException
:return: {
'finding': {
'action': [
'string',
],
'analyzedAt': datetime(2015, 1, 1),
'condition': {
'string': 'string'
},
'createdAt': datetime(2015, 1, 1),
'error': 'string',
'id': 'string',
'isPublic': True|False,
'principal': {
'string': 'string'
},
'resource': 'string',
'resourceOwnerAccount': 'string',
'resourceType': 'AWS::IAM::Role'|'AWS::KMS::Key'|'AWS::Lambda::Function'|'AWS::Lambda::LayerVersion'|'AWS::S3::Bucket'|'AWS::SQS::Queue',
'sources': [
{
'detail': {
'accessPointArn': 'string'
},
'type': 'BUCKET_ACL'|'POLICY'|'S3_ACCESS_POINT'
},
],
'status': 'ACTIVE'|'ARCHIVED'|'RESOLVED',
'updatedAt': datetime(2015, 1, 1)
}
}
:returns:
(string) --
"""
pass
def get_paginator(operation_name=None):
"""
Create a paginator for an operation.
:type operation_name: string
:param operation_name: The operation name. This is the same name\nas the method name on the client. For example, if the\nmethod name is create_foo, and you\'d normally invoke the\noperation as client.create_foo(**kwargs), if the\ncreate_foo operation can be paginated, you can use the\ncall client.get_paginator('create_foo').
:rtype: L{botocore.paginate.Paginator}
ReturnsA paginator object.
"""
pass
def get_waiter(waiter_name=None):
"""
Returns an object that can wait for some condition.
:type waiter_name: str
:param waiter_name: The name of the waiter to get. See the waiters\nsection of the service docs for a list of available waiters.
:rtype: botocore.waiter.Waiter
"""
pass
def list_analyzed_resources(analyzerArn=None, maxResults=None, nextToken=None, resourceType=None):
"""
Retrieves a list of resources of the specified type that have been analyzed by the specified analyzer..
See also: AWS API Documentation
Exceptions
:example: response = client.list_analyzed_resources(
analyzerArn='string',
maxResults=123,
nextToken='string',
resourceType='AWS::IAM::Role'|'AWS::KMS::Key'|'AWS::Lambda::Function'|'AWS::Lambda::LayerVersion'|'AWS::S3::Bucket'|'AWS::SQS::Queue'
)
:type analyzerArn: string
:param analyzerArn: [REQUIRED]\nThe ARN of the analyzer to retrieve a list of analyzed resources from.\n
:type maxResults: integer
:param maxResults: The maximum number of results to return in the response.
:type nextToken: string
:param nextToken: A token used for pagination of results returned.
:type resourceType: string
:param resourceType: The type of resource.
:rtype: dict
ReturnsResponse Syntax
{
'analyzedResources': [
{
'resourceArn': 'string',
'resourceOwnerAccount': 'string',
'resourceType': 'AWS::IAM::Role'|'AWS::KMS::Key'|'AWS::Lambda::Function'|'AWS::Lambda::LayerVersion'|'AWS::S3::Bucket'|'AWS::SQS::Queue'
},
],
'nextToken': 'string'
}
Response Structure
(dict) --
The response to the request.
analyzedResources (list) --
A list of resources that were analyzed.
(dict) --
Contains the ARN of the analyzed resource.
resourceArn (string) --
The ARN of the analyzed resource.
resourceOwnerAccount (string) --
The AWS account ID that owns the resource.
resourceType (string) --
The type of resource that was analyzed.
nextToken (string) --
A token used for pagination of results returned.
Exceptions
AccessAnalyzer.Client.exceptions.ResourceNotFoundException
AccessAnalyzer.Client.exceptions.ValidationException
AccessAnalyzer.Client.exceptions.InternalServerException
AccessAnalyzer.Client.exceptions.ThrottlingException
AccessAnalyzer.Client.exceptions.AccessDeniedException
:return: {
'analyzedResources': [
{
'resourceArn': 'string',
'resourceOwnerAccount': 'string',
'resourceType': 'AWS::IAM::Role'|'AWS::KMS::Key'|'AWS::Lambda::Function'|'AWS::Lambda::LayerVersion'|'AWS::S3::Bucket'|'AWS::SQS::Queue'
},
],
'nextToken': 'string'
}
:returns:
AccessAnalyzer.Client.exceptions.ResourceNotFoundException
AccessAnalyzer.Client.exceptions.ValidationException
AccessAnalyzer.Client.exceptions.InternalServerException
AccessAnalyzer.Client.exceptions.ThrottlingException
AccessAnalyzer.Client.exceptions.AccessDeniedException
"""
pass
def list_analyzers(maxResults=None, nextToken=None, type=None):
"""
Retrieves a list of analyzers.
See also: AWS API Documentation
Exceptions
:example: response = client.list_analyzers(
maxResults=123,
nextToken='string',
type='ACCOUNT'|'ORGANIZATION'
)
:type maxResults: integer
:param maxResults: The maximum number of results to return in the response.
:type nextToken: string
:param nextToken: A token used for pagination of results returned.
:type type: string
:param type: The type of analyzer.
:rtype: dict
ReturnsResponse Syntax
{
'analyzers': [
{
'arn': 'string',
'createdAt': datetime(2015, 1, 1),
'lastResourceAnalyzed': 'string',
'lastResourceAnalyzedAt': datetime(2015, 1, 1),
'name': 'string',
'status': 'ACTIVE'|'CREATING'|'DISABLED'|'FAILED',
'statusReason': {
'code': 'AWS_SERVICE_ACCESS_DISABLED'|'DELEGATED_ADMINISTRATOR_DEREGISTERED'|'ORGANIZATION_DELETED'|'SERVICE_LINKED_ROLE_CREATION_FAILED'
},
'tags': {
'string': 'string'
},
'type': 'ACCOUNT'|'ORGANIZATION'
},
],
'nextToken': 'string'
}
Response Structure
(dict) --
The response to the request.
analyzers (list) --
The analyzers retrieved.
(dict) --
Contains information about the analyzer.
arn (string) --
The ARN of the analyzer.
createdAt (datetime) --
A timestamp for the time at which the analyzer was created.
lastResourceAnalyzed (string) --
The resource that was most recently analyzed by the analyzer.
lastResourceAnalyzedAt (datetime) --
The time at which the most recently analyzed resource was analyzed.
name (string) --
The name of the analyzer.
status (string) --
The status of the analyzer. An Active analyzer successfully monitors supported resources and generates new findings. The analyzer is Disabled when a user action, such as removing trusted access for IAM Access Analyzer from AWS Organizations, causes the analyzer to stop generating new findings. The status is Creating when the analyzer creation is in progress and Failed when the analyzer creation has failed.
statusReason (dict) --
The statusReason provides more details about the current status of the analyzer. For example, if the creation for the analyzer fails, a Failed status is displayed. For an analyzer with organization as the type, this failure can be due to an issue with creating the service-linked roles required in the member accounts of the AWS organization.
code (string) --
The reason code for the current status of the analyzer.
tags (dict) --
The tags added to the analyzer.
(string) --
(string) --
type (string) --
The type of analyzer, which corresponds to the zone of trust chosen for the analyzer.
nextToken (string) --
A token used for pagination of results returned.
Exceptions
AccessAnalyzer.Client.exceptions.ValidationException
AccessAnalyzer.Client.exceptions.InternalServerException
AccessAnalyzer.Client.exceptions.ThrottlingException
AccessAnalyzer.Client.exceptions.AccessDeniedException
:return: {
'analyzers': [
{
'arn': 'string',
'createdAt': datetime(2015, 1, 1),
'lastResourceAnalyzed': 'string',
'lastResourceAnalyzedAt': datetime(2015, 1, 1),
'name': 'string',
'status': 'ACTIVE'|'CREATING'|'DISABLED'|'FAILED',
'statusReason': {
'code': 'AWS_SERVICE_ACCESS_DISABLED'|'DELEGATED_ADMINISTRATOR_DEREGISTERED'|'ORGANIZATION_DELETED'|'SERVICE_LINKED_ROLE_CREATION_FAILED'
},
'tags': {
'string': 'string'
},
'type': 'ACCOUNT'|'ORGANIZATION'
},
],
'nextToken': 'string'
}
:returns:
(string) --
(string) --
"""
pass
def list_archive_rules(analyzerName=None, maxResults=None, nextToken=None):
"""
Retrieves a list of archive rules created for the specified analyzer.
See also: AWS API Documentation
Exceptions
:example: response = client.list_archive_rules(
analyzerName='string',
maxResults=123,
nextToken='string'
)
:type analyzerName: string
:param analyzerName: [REQUIRED]\nThe name of the analyzer to retrieve rules from.\n
:type maxResults: integer
:param maxResults: The maximum number of results to return in the request.
:type nextToken: string
:param nextToken: A token used for pagination of results returned.
:rtype: dict
ReturnsResponse Syntax
{
'archiveRules': [
{
'createdAt': datetime(2015, 1, 1),
'filter': {
'string': {
'contains': [
'string',
],
'eq': [
'string',
],
'exists': True|False,
'neq': [
'string',
]
}
},
'ruleName': 'string',
'updatedAt': datetime(2015, 1, 1)
},
],
'nextToken': 'string'
}
Response Structure
(dict) --
The response to the request.
archiveRules (list) --
A list of archive rules created for the specified analyzer.
(dict) --
Contains information about an archive rule.
createdAt (datetime) --
The time at which the archive rule was created.
filter (dict) --
A filter used to define the archive rule.
(string) --
(dict) --
The criteria to use in the filter that defines the archive rule.
contains (list) --
A "contains" operator to match for the filter used to create the rule.
(string) --
eq (list) --
An "equals" operator to match for the filter used to create the rule.
(string) --
exists (boolean) --
An "exists" operator to match for the filter used to create the rule.
neq (list) --
A "not equals" operator to match for the filter used to create the rule.
(string) --
ruleName (string) --
The name of the archive rule.
updatedAt (datetime) --
The time at which the archive rule was last updated.
nextToken (string) --
A token used for pagination of results returned.
Exceptions
AccessAnalyzer.Client.exceptions.ValidationException
AccessAnalyzer.Client.exceptions.InternalServerException
AccessAnalyzer.Client.exceptions.ThrottlingException
AccessAnalyzer.Client.exceptions.AccessDeniedException
:return: {
'archiveRules': [
{
'createdAt': datetime(2015, 1, 1),
'filter': {
'string': {
'contains': [
'string',
],
'eq': [
'string',
],
'exists': True|False,
'neq': [
'string',
]
}
},
'ruleName': 'string',
'updatedAt': datetime(2015, 1, 1)
},
],
'nextToken': 'string'
}
:returns:
(string) --
"""
pass
def list_findings(analyzerArn=None, filter=None, maxResults=None, nextToken=None, sort=None):
"""
Retrieves a list of findings generated by the specified analyzer.
See also: AWS API Documentation
Exceptions
:example: response = client.list_findings(
analyzerArn='string',
filter={
'string': {
'contains': [
'string',
],
'eq': [
'string',
],
'exists': True|False,
'neq': [
'string',
]
}
},
maxResults=123,
nextToken='string',
sort={
'attributeName': 'string',
'orderBy': 'ASC'|'DESC'
}
)
:type analyzerArn: string
:param analyzerArn: [REQUIRED]\nThe ARN of the analyzer to retrieve findings from.\n
:type filter: dict
:param filter: A filter to match for the findings to return.\n\n(string) --\n(dict) --The criteria to use in the filter that defines the archive rule.\n\ncontains (list) --A 'contains' operator to match for the filter used to create the rule.\n\n(string) --\n\n\neq (list) --An 'equals' operator to match for the filter used to create the rule.\n\n(string) --\n\n\nexists (boolean) --An 'exists' operator to match for the filter used to create the rule.\n\nneq (list) --A 'not equals' operator to match for the filter used to create the rule.\n\n(string) --\n\n\n\n\n\n\n\n
:type maxResults: integer
:param maxResults: The maximum number of results to return in the response.
:type nextToken: string
:param nextToken: A token used for pagination of results returned.
:type sort: dict
:param sort: The sort order for the findings returned.\n\nattributeName (string) --The name of the attribute to sort on.\n\norderBy (string) --The sort order, ascending or descending.\n\n\n
:rtype: dict
ReturnsResponse Syntax
{
'findings': [
{
'action': [
'string',
],
'analyzedAt': datetime(2015, 1, 1),
'condition': {
'string': 'string'
},
'createdAt': datetime(2015, 1, 1),
'error': 'string',
'id': 'string',
'isPublic': True|False,
'principal': {
'string': 'string'
},
'resource': 'string',
'resourceOwnerAccount': 'string',
'resourceType': 'AWS::IAM::Role'|'AWS::KMS::Key'|'AWS::Lambda::Function'|'AWS::Lambda::LayerVersion'|'AWS::S3::Bucket'|'AWS::SQS::Queue',
'sources': [
{
'detail': {
'accessPointArn': 'string'
},
'type': 'BUCKET_ACL'|'POLICY'|'S3_ACCESS_POINT'
},
],
'status': 'ACTIVE'|'ARCHIVED'|'RESOLVED',
'updatedAt': datetime(2015, 1, 1)
},
],
'nextToken': 'string'
}
Response Structure
(dict) --
The response to the request.
findings (list) --
A list of findings retrieved from the analyzer that match the filter criteria specified, if any.
(dict) --
Contains information about a finding.
action (list) --
The action in the analyzed policy statement that an external principal has permission to use.
(string) --
analyzedAt (datetime) --
The time at which the resource-based policy that generated the finding was analyzed.
condition (dict) --
The condition in the analyzed policy statement that resulted in a finding.
(string) --
(string) --
createdAt (datetime) --
The time at which the finding was created.
error (string) --
The error that resulted in an Error finding.
id (string) --
The ID of the finding.
isPublic (boolean) --
Indicates whether the finding reports a resource that has a policy that allows public access.
principal (dict) --
The external principal that has access to a resource within the zone of trust.
(string) --
(string) --
resource (string) --
The resource that the external principal has access to.
resourceOwnerAccount (string) --
The AWS account ID that owns the resource.
resourceType (string) --
The type of the resource that the external principal has access to.
sources (list) --
The sources of the finding. This indicates how the access that generated the finding is granted. It is populated for Amazon S3 bucket findings.
(dict) --
The source of the finding. This indicates how the access that generated the finding is granted. It is populated for Amazon S3 bucket findings.
detail (dict) --
Includes details about how the access that generated the finding is granted. This is populated for Amazon S3 bucket findings.
accessPointArn (string) --
The ARN of the access point that generated the finding.
type (string) --
Indicates the type of access that generated the finding.
status (string) --
The status of the finding.
updatedAt (datetime) --
The time at which the finding was most recently updated.
nextToken (string) --
A token used for pagination of results returned.
Exceptions
AccessAnalyzer.Client.exceptions.ResourceNotFoundException
AccessAnalyzer.Client.exceptions.ValidationException
AccessAnalyzer.Client.exceptions.InternalServerException
AccessAnalyzer.Client.exceptions.ThrottlingException
AccessAnalyzer.Client.exceptions.AccessDeniedException
:return: {
'findings': [
{
'action': [
'string',
],
'analyzedAt': datetime(2015, 1, 1),
'condition': {
'string': 'string'
},
'createdAt': datetime(2015, 1, 1),
'error': 'string',
'id': 'string',
'isPublic': True|False,
'principal': {
'string': 'string'
},
'resource': 'string',
'resourceOwnerAccount': 'string',
'resourceType': 'AWS::IAM::Role'|'AWS::KMS::Key'|'AWS::Lambda::Function'|'AWS::Lambda::LayerVersion'|'AWS::S3::Bucket'|'AWS::SQS::Queue',
'sources': [
{
'detail': {
'accessPointArn': 'string'
},
'type': 'BUCKET_ACL'|'POLICY'|'S3_ACCESS_POINT'
},
],
'status': 'ACTIVE'|'ARCHIVED'|'RESOLVED',
'updatedAt': datetime(2015, 1, 1)
},
],
'nextToken': 'string'
}
:returns:
(string) --
"""
pass
def list_tags_for_resource(resourceArn=None):
"""
Retrieves a list of tags applied to the specified resource.
See also: AWS API Documentation
Exceptions
:example: response = client.list_tags_for_resource(
resourceArn='string'
)
:type resourceArn: string
:param resourceArn: [REQUIRED]\nThe ARN of the resource to retrieve tags from.\n
:rtype: dict
ReturnsResponse Syntax{
'tags': {
'string': 'string'
}
}
Response Structure
(dict) --The response to the request.
tags (dict) --The tags that are applied to the specified resource.
(string) --
(string) --
Exceptions
AccessAnalyzer.Client.exceptions.ResourceNotFoundException
AccessAnalyzer.Client.exceptions.ValidationException
AccessAnalyzer.Client.exceptions.InternalServerException
AccessAnalyzer.Client.exceptions.ThrottlingException
AccessAnalyzer.Client.exceptions.AccessDeniedException
:return: {
'tags': {
'string': 'string'
}
}
:returns:
AccessAnalyzer.Client.exceptions.ResourceNotFoundException
AccessAnalyzer.Client.exceptions.ValidationException
AccessAnalyzer.Client.exceptions.InternalServerException
AccessAnalyzer.Client.exceptions.ThrottlingException
AccessAnalyzer.Client.exceptions.AccessDeniedException
"""
pass
def start_resource_scan(analyzerArn=None, resourceArn=None):
"""
Immediately starts a scan of the policies applied to the specified resource.
See also: AWS API Documentation
Exceptions
:example: response = client.start_resource_scan(
analyzerArn='string',
resourceArn='string'
)
:type analyzerArn: string
:param analyzerArn: [REQUIRED]\nThe ARN of the analyzer to use to scan the policies applied to the specified resource.\n
:type resourceArn: string
:param resourceArn: [REQUIRED]\nThe ARN of the resource to scan.\n
:returns:
AccessAnalyzer.Client.exceptions.ResourceNotFoundException
AccessAnalyzer.Client.exceptions.ValidationException
AccessAnalyzer.Client.exceptions.InternalServerException
AccessAnalyzer.Client.exceptions.ThrottlingException
AccessAnalyzer.Client.exceptions.AccessDeniedException
"""
pass
def tag_resource(resourceArn=None, tags=None):
"""
Adds a tag to the specified resource.
See also: AWS API Documentation
Exceptions
:example: response = client.tag_resource(
resourceArn='string',
tags={
'string': 'string'
}
)
:type resourceArn: string
:param resourceArn: [REQUIRED]\nThe ARN of the resource to add the tag to.\n
:type tags: dict
:param tags: [REQUIRED]\nThe tags to add to the resource.\n\n(string) --\n(string) --\n\n\n\n
:rtype: dict
ReturnsResponse Syntax
{}
Response Structure
(dict) --
The response to the request.
Exceptions
AccessAnalyzer.Client.exceptions.ResourceNotFoundException
AccessAnalyzer.Client.exceptions.ValidationException
AccessAnalyzer.Client.exceptions.InternalServerException
AccessAnalyzer.Client.exceptions.ThrottlingException
AccessAnalyzer.Client.exceptions.AccessDeniedException
:return: {}
:returns:
AccessAnalyzer.Client.exceptions.ResourceNotFoundException
AccessAnalyzer.Client.exceptions.ValidationException
AccessAnalyzer.Client.exceptions.InternalServerException
AccessAnalyzer.Client.exceptions.ThrottlingException
AccessAnalyzer.Client.exceptions.AccessDeniedException
"""
pass
def untag_resource(resourceArn=None, tagKeys=None):
"""
Removes a tag from the specified resource.
See also: AWS API Documentation
Exceptions
:example: response = client.untag_resource(
resourceArn='string',
tagKeys=[
'string',
]
)
:type resourceArn: string
:param resourceArn: [REQUIRED]\nThe ARN of the resource to remove the tag from.\n
:type tagKeys: list
:param tagKeys: [REQUIRED]\nThe key for the tag to add.\n\n(string) --\n\n
:rtype: dict
ReturnsResponse Syntax
{}
Response Structure
(dict) --
The response to the request.
Exceptions
AccessAnalyzer.Client.exceptions.ResourceNotFoundException
AccessAnalyzer.Client.exceptions.ValidationException
AccessAnalyzer.Client.exceptions.InternalServerException
AccessAnalyzer.Client.exceptions.ThrottlingException
AccessAnalyzer.Client.exceptions.AccessDeniedException
:return: {}
:returns:
AccessAnalyzer.Client.exceptions.ResourceNotFoundException
AccessAnalyzer.Client.exceptions.ValidationException
AccessAnalyzer.Client.exceptions.InternalServerException
AccessAnalyzer.Client.exceptions.ThrottlingException
AccessAnalyzer.Client.exceptions.AccessDeniedException
"""
pass
def update_archive_rule(analyzerName=None, clientToken=None, filter=None, ruleName=None):
"""
Updates the criteria and values for the specified archive rule.
See also: AWS API Documentation
Exceptions
:example: response = client.update_archive_rule(
analyzerName='string',
clientToken='string',
filter={
'string': {
'contains': [
'string',
],
'eq': [
'string',
],
'exists': True|False,
'neq': [
'string',
]
}
},
ruleName='string'
)
:type analyzerName: string
:param analyzerName: [REQUIRED]\nThe name of the analyzer to update the archive rules for.\n
:type clientToken: string
:param clientToken: A client token.\nThis field is autopopulated if not provided.\n
:type filter: dict
:param filter: [REQUIRED]\nA filter to match for the rules to update. Only rules that match the filter are updated.\n\n(string) --\n(dict) --The criteria to use in the filter that defines the archive rule.\n\ncontains (list) --A 'contains' operator to match for the filter used to create the rule.\n\n(string) --\n\n\neq (list) --An 'equals' operator to match for the filter used to create the rule.\n\n(string) --\n\n\nexists (boolean) --An 'exists' operator to match for the filter used to create the rule.\n\nneq (list) --A 'not equals' operator to match for the filter used to create the rule.\n\n(string) --\n\n\n\n\n\n\n\n
:type ruleName: string
:param ruleName: [REQUIRED]\nThe name of the rule to update.\n
:returns:
AccessAnalyzer.Client.exceptions.ResourceNotFoundException
AccessAnalyzer.Client.exceptions.ValidationException
AccessAnalyzer.Client.exceptions.InternalServerException
AccessAnalyzer.Client.exceptions.ThrottlingException
AccessAnalyzer.Client.exceptions.AccessDeniedException
"""
pass
def update_findings(analyzerArn=None, clientToken=None, ids=None, resourceArn=None, status=None):
"""
Updates the status for the specified findings.
See also: AWS API Documentation
Exceptions
:example: response = client.update_findings(
analyzerArn='string',
clientToken='string',
ids=[
'string',
],
resourceArn='string',
status='ACTIVE'|'ARCHIVED'
)
:type analyzerArn: string
:param analyzerArn: [REQUIRED]\nThe ARN of the analyzer that generated the findings to update.\n
:type clientToken: string
:param clientToken: A client token.\nThis field is autopopulated if not provided.\n
:type ids: list
:param ids: The IDs of the findings to update.\n\n(string) --\n\n
:type resourceArn: string
:param resourceArn: The ARN of the resource identified in the finding.
:type status: string
:param status: [REQUIRED]\nThe state represents the action to take to update the finding Status. Use ARCHIVE to change an Active finding to an Archived finding. Use ACTIVE to change an Archived finding to an Active finding.\n
:returns:
AccessAnalyzer.Client.exceptions.ResourceNotFoundException
AccessAnalyzer.Client.exceptions.ValidationException
AccessAnalyzer.Client.exceptions.InternalServerException
AccessAnalyzer.Client.exceptions.ThrottlingException
AccessAnalyzer.Client.exceptions.AccessDeniedException
"""
pass
| 27.772876 | 920 | 0.6438 | 5,487 | 50,991 | 5.958812 | 0.078549 | 0.074627 | 0.11194 | 0.014558 | 0.827991 | 0.802422 | 0.78713 | 0.779912 | 0.776028 | 0.768718 | 0 | 0.006466 | 0.259967 | 50,991 | 1,835 | 921 | 27.788011 | 0.859997 | 0.957502 | 0 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | false | 0.5 | 0 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 9 |
33478ce847065e5b26e00bc2ca0d7e1523e20ff9 | 12,856 | py | Python | pybots/test/filters/test_window.py | aivian/robots | 6827886916e36432ce1d806f0a78edef6c9270d9 | [
"MIT"
] | null | null | null | pybots/test/filters/test_window.py | aivian/robots | 6827886916e36432ce1d806f0a78edef6c9270d9 | [
"MIT"
] | null | null | null | pybots/test/filters/test_window.py | aivian/robots | 6827886916e36432ce1d806f0a78edef6c9270d9 | [
"MIT"
] | 1 | 2021-09-24T17:08:30.000Z | 2021-09-24T17:08:30.000Z | import pdb
import sys
import numpy
import filters.window
import geodesy.conversions
import matplotlib.pyplot as plt
if __name__ == '__main__':
#pdb.set_trace()
r1 = {}
r10 = {}
r50 = {}
r100 = {}
if sys.argv[1] == 'sample' or sys.argv[1] == 'all':
# test the sample window filter
data = numpy.arange(1,101)
sw_filter = filters.window.Average(10)
result_1 = []
result_10 = []
result_50 = []
result_100 = []
for x in data:
sw_filter.add(x)
result_1.append(sw_filter.mean(n=1))
result_10.append(sw_filter.mean())
result_50.append(sw_filter.mean(n=50))
result_100.append(sw_filter.mean(n=100))
result_1 = numpy.array(result_1, ndmin=2).T
result_10 = numpy.array(result_10, ndmin=2).T
result_50 = numpy.array(result_50, ndmin=2).T
result_100 = numpy.array(result_100, ndmin=2).T
plt.plot(result_1, label='n=1')
plt.plot(result_10, label='n=10')
plt.plot(result_50, label='n=50')
plt.plot(result_100, label='n=100')
plt.grid()
plt.legend()
plt.xlabel('sample')
plt.ylabel('window average')
plt.title('sample window')
if sys.argv[1] != 'all':
plt.show()
r1['sample'] = result_1
r10['sample'] = result_10
r50['sample'] = result_50
r100['sample'] = result_100
if sys.argv[1] == 'time' or sys.argv[1] == 'all':
# test the time window filter
time = numpy.arange(1, 101)
sw_filter = filters.window.TimeAverage(10)
result_1 = []
result_10 = []
result_50 = []
result_100 = []
for x, t in zip(data, time):
sw_filter.add(x, t)
result_1.append(sw_filter.mean(t_avg=1))
result_10.append(sw_filter.mean())
result_50.append(sw_filter.mean(t_avg=50))
result_100.append(sw_filter.mean(t_avg=100))
result_1 = numpy.array(result_1, ndmin=2).T
result_10 = numpy.array(result_10, ndmin=2).T
result_50 = numpy.array(result_50, ndmin=2).T
result_100 = numpy.array(result_100, ndmin=2).T
plt.plot(result_1, label='t=1')
plt.plot(result_10, label='t=10')
plt.plot(result_50, label='t=50')
plt.plot(result_100, label='t=100')
plt.grid()
plt.legend()
plt.xlabel('sample')
plt.ylabel('window average')
plt.title('time window')
if sys.argv[1] != 'all':
plt.show()
r1['time'] = result_1
r10['time'] = result_10
r50['time'] = result_50
r100['time'] = result_100
if sys.argv[1] == 'nd' or sys.argv[1] == 'all':
# test the sample window filter for n-d data
sw_filter = filters.window.Average(10)
r = 1.e3
theta = numpy.linspace(-numpy.pi, numpy.pi, 100)
X = numpy.vstack((
r * numpy.cos(theta),
r * numpy.sin(theta),
numpy.zeros(theta.shape),
numpy.arange(1, theta.shape[0] + 1))).T
result_1 = []
result_10 = []
result_50 = []
result_100 = []
for x in X:
sw_filter.add(x)
result_1.append(sw_filter.mean(n=1))
result_10.append(sw_filter.mean())
result_50.append(sw_filter.mean(n=50))
result_100.append(sw_filter.mean(n=100))
result_1 = numpy.array(result_1)
result_10 = numpy.array(result_10)
result_50 = numpy.array(result_50)
result_100 = numpy.array(result_100)
f, axs = plt.subplots(result_1.shape[1], 1, sharex=True)
for i, ax in enumerate(axs):
ax.plot(result_1[:,i], label='n=1')
ax.plot(result_10[:,i], label='n=10')
ax.plot(result_50[:,i], label='n=50')
ax.plot(result_100[:,i], label='n=100')
ax.grid()
ax.set_ylabel('window average')
ax.legend()
ax.set_xlabel('sample')
plt.title('sample window, nd-data')
plt.figure()
plt.plot(result_1[:,0], result_1[:,1], label='n=1')
plt.plot(result_10[:,0], result_10[:,1], label='n=10')
plt.plot(result_50[:,0], result_50[:,1], label='n=50')
plt.plot(result_100[:,0], result_100[:,1], label='n=100')
plt.grid()
plt.legend()
plt.xlabel('x (m)')
plt.ylabel('y (m)')
plt.axis('equal')
plt.title('sample window, nd-data')
if sys.argv[1] != 'all':
plt.show()
r1['nd'] = result_1
r10['nd'] = result_10
r50['nd'] = result_50
r100['nd'] = result_100
if sys.argv[1] == 'nd-time' or sys.argv[1] == 'all':
# test the sample window filter for n-d time data
sw_filter = filters.window.TimeAverage(10)
r = 1.e3
theta = numpy.linspace(-numpy.pi, numpy.pi, 100)
time = numpy.arange(1, 101)
X = numpy.vstack((
r * numpy.cos(theta),
r * numpy.sin(theta),
numpy.zeros(theta.shape),
numpy.arange(1, theta.shape[0] + 1))).T
result_1 = []
result_10 = []
result_50 = []
result_100 = []
for x,t in zip(X, time):
sw_filter.add(x, t)
result_1.append(sw_filter.mean(t_avg=1))
result_10.append(sw_filter.mean())
result_50.append(sw_filter.mean(t_avg=50))
result_100.append(sw_filter.mean(t_avg=100))
result_1 = numpy.array(result_1)
result_10 = numpy.array(result_10)
result_50 = numpy.array(result_50)
result_100 = numpy.array(result_100)
f, axs = plt.subplots(result_1.shape[1], 1, sharex=True)
for i, ax in enumerate(axs):
ax.plot(result_1[:,i], label='t=1')
ax.plot(result_10[:,i], label='t=10')
ax.plot(result_50[:,i], label='t=50')
ax.plot(result_100[:,i], label='t=100')
ax.grid()
ax.set_ylabel('window average')
ax.legend()
ax.set_xlabel('sample')
plt.title('time window, nd-data')
plt.figure()
plt.plot(result_1[:,0], result_1[:,1], label='t=1')
plt.plot(result_10[:,0], result_10[:,1], label='t=10')
plt.plot(result_50[:,0], result_50[:,1], label='t=50')
plt.plot(result_100[:,0], result_100[:,1], label='t=100')
plt.grid()
plt.legend()
plt.xlabel('x (m)')
plt.ylabel('y (m)')
plt.axis('equal')
plt.title('time window, nd-data')
if sys.argv[1] != 'all':
plt.show()
r1['nd-time'] = result_1
r10['nd-time'] = result_10
r50['nd-time'] = result_50
r100['nd-time'] = result_100
if sys.argv[1] == 'geo' or sys.argv[1] == 'all':
# test the sample window filter for n-d data
sw_filter = filters.window.GeodesicAverage(10)
r = 1.e3
theta = numpy.linspace(-numpy.pi, numpy.pi, 100)
lla_ref = numpy.deg2rad(
numpy.array([40.010065, -105.245080, 0.0], ndmin=2))
X = numpy.vstack((
r * numpy.cos(theta),
r * numpy.sin(theta),
numpy.zeros(theta.shape),
numpy.arange(1, theta.shape[0] + 1))).T
X[:,:3] = geodesy.conversions.enu_to_lla(X[:,:3], lla_ref)
result_1 = []
result_10 = []
result_50 = []
result_100 = []
for x in X:
sw_filter.add(x)
result_1.append(sw_filter.mean(n=1))
result_10.append(sw_filter.mean())
result_50.append(sw_filter.mean(n=50))
result_100.append(sw_filter.mean(n=100))
result_1 = numpy.array(result_1)
result_10 = numpy.array(result_10)
result_50 = numpy.array(result_50)
result_100 = numpy.array(result_100)
result_1[:,:3] = geodesy.conversions.lla_to_enu(result_1[:,:3], lla_ref)
result_10[:,:3] = geodesy.conversions.lla_to_enu(
result_10[:,:3], lla_ref)
result_50[:,:3] = geodesy.conversions.lla_to_enu(
result_50[:,:3], lla_ref)
result_100[:,:3] = geodesy.conversions.lla_to_enu(
result_100[:,:3], lla_ref)
f, axs = plt.subplots(result_1.shape[1], 1, sharex=True)
for i, ax in enumerate(axs):
ax.plot(result_1[:,i], label='n=1')
ax.plot(result_10[:,i], label='n=10')
ax.plot(result_50[:,i], label='n=50')
ax.plot(result_100[:,i], label='n=100')
ax.grid()
ax.set_ylabel('window average')
ax.legend()
ax.set_xlabel('sample')
plt.title('sample window, geo data')
plt.figure()
plt.plot(result_1[:,0], result_1[:,1], label='n=1')
plt.plot(result_10[:,0], result_10[:,1], label='n=10')
plt.plot(result_50[:,0], result_50[:,1], label='n=50')
plt.plot(result_100[:,0], result_100[:,1], label='n=100')
plt.grid()
plt.legend()
plt.xlabel('x (m)')
plt.ylabel('y (m)')
plt.axis('equal')
plt.title('sample window, geo data')
if sys.argv[1] != 'all':
plt.show()
r1['geo'] = result_1
r10['geo'] = result_10
r50['geo'] = result_50
r100['geo'] = result_100
if sys.argv[1] == 'geo-time' or sys.argv[1] == 'all':
# test the sample window filter for n-d time data
sw_filter = filters.window.GeodesicTimeAverage(10)
time = numpy.arange(1, 101)
r = 1.e3
theta = numpy.linspace(-numpy.pi, numpy.pi, 100)
lla_ref = numpy.deg2rad(
numpy.array([40.010065, -105.245080, 0.0], ndmin=2))
X = numpy.vstack((
r * numpy.cos(theta),
r * numpy.sin(theta),
numpy.zeros(theta.shape),
numpy.arange(1, theta.shape[0] + 1))).T
X[:,:3] = geodesy.conversions.enu_to_lla(X[:,:3], lla_ref)
result_1 = []
result_10 = []
result_50 = []
result_100 = []
for x, t in zip(X, time):
sw_filter.add(x, t)
result_1.append(sw_filter.mean(t_avg=1))
result_10.append(sw_filter.mean())
result_50.append(sw_filter.mean(t_avg=50))
result_100.append(sw_filter.mean(t_avg=100))
result_1 = numpy.array(result_1)
result_10 = numpy.array(result_10)
result_50 = numpy.array(result_50)
result_100 = numpy.array(result_100)
result_1[:,:3] = geodesy.conversions.lla_to_enu(result_1[:,:3], lla_ref)
result_10[:,:3] = geodesy.conversions.lla_to_enu(
result_10[:,:3], lla_ref)
result_50[:,:3] = geodesy.conversions.lla_to_enu(
result_50[:,:3], lla_ref)
result_100[:,:3] = geodesy.conversions.lla_to_enu(
result_100[:,:3], lla_ref)
f, axs = plt.subplots(result_1.shape[1], 1, sharex=True)
for i, ax in enumerate(axs):
ax.plot(result_1[:,i], label='t=1')
ax.plot(result_10[:,i], label='t=10')
ax.plot(result_50[:,i], label='t=50')
ax.plot(result_100[:,i], label='t=100')
ax.grid()
ax.set_ylabel('window average')
ax.legend()
ax.set_xlabel('sample')
plt.title('time window, geo data')
plt.figure()
plt.plot(result_1[:,0], result_1[:,1], label='t=1')
plt.plot(result_10[:,0], result_10[:,1], label='t=10')
plt.plot(result_50[:,0], result_50[:,1], label='t=50')
plt.plot(result_100[:,0], result_100[:,1], label='t=100')
plt.grid()
plt.legend()
plt.xlabel('x (m)')
plt.ylabel('y (m)')
plt.axis('equal')
plt.title('time window, geo data')
if sys.argv[1] != 'all':
plt.show()
r1['geo-time'] = result_1
r10['geo-time'] = result_10
r50['geo-time'] = result_50
r100['geo-time'] = result_100
if sys.argv[1] == 'all':
R = {1: r1, 10: r10, 50: r50, 100: r100}
err = {1: {}, 10: {}, 50: {}, 100: {}}
position_err = {1: {}, 10: {}, 50: {}, 100: {}}
max_err = -numpy.inf
max_position_err = -numpy.inf
for key_n, r in R.items():
for key, val in r.items():
err[key_n][key] = val[:,-1] - r['sample'][:,-1]
max_err = max(max_err, numpy.amax(numpy.abs(err[key_n][key])))
if val.shape[1] > 1:
position_err[key_n][key] = val[:,:3] - r['nd'][:,:3]
max_position_err= max(
max_position_err,
numpy.amax(numpy.abs(position_err[key_n][key])))
print('max_error: {}\nmax_position_err: {}'.format(
max_err, max_position_err))
plt.show()
| 33.305699 | 80 | 0.533836 | 1,834 | 12,856 | 3.571429 | 0.061614 | 0.055573 | 0.051298 | 0.065954 | 0.88626 | 0.861985 | 0.853588 | 0.821374 | 0.801527 | 0.791145 | 0 | 0.087415 | 0.299704 | 12,856 | 385 | 81 | 33.392208 | 0.64012 | 0.019835 | 0 | 0.77116 | 0 | 0 | 0.061617 | 0.001667 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.018809 | 0 | 0.018809 | 0.003135 | 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 |
3365c61ca6440069badf9b214e5f5cfbb2fef8be | 262 | py | Python | test/expressions/expr9.py | Setonas/MagicSetonas | ef76da5f27a0506b194c58072b81424e3ce985d7 | [
"MIT"
] | 5 | 2017-02-22T10:17:39.000Z | 2021-04-06T16:36:13.000Z | test/expressions/expr9.py | Setonas/MagicSetonas | ef76da5f27a0506b194c58072b81424e3ce985d7 | [
"MIT"
] | null | null | null | test/expressions/expr9.py | Setonas/MagicSetonas | ef76da5f27a0506b194c58072b81424e3ce985d7 | [
"MIT"
] | 1 | 2020-08-29T02:30:52.000Z | 2020-08-29T02:30:52.000Z | duoti nuo a
duoti a
duoti nuo : keyword.control.flow.python, source.python
: source.python
a : source.python
duoti : keyword.control.flow.python, source.python
: source.python
a : source.python
| 21.833333 | 58 | 0.572519 | 30 | 262 | 5 | 0.266667 | 0.48 | 0.48 | 0.32 | 0.813333 | 0.813333 | 0.813333 | 0.813333 | 0.813333 | 0.813333 | 0 | 0 | 0.351145 | 262 | 11 | 59 | 23.818182 | 0.882353 | 0 | 0 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
6832e95fff9d126e066f4c9b5ff81b4349463862 | 2,126 | py | Python | hackathon 4.0 Demo_2021-01-09_13-31-31.py | ClointFusion-Community/CFC-Projects | c6381738ade07e6e8979bbae37400ec2b4e626c5 | [
"MIT"
] | null | null | null | hackathon 4.0 Demo_2021-01-09_13-31-31.py | ClointFusion-Community/CFC-Projects | c6381738ade07e6e8979bbae37400ec2b4e626c5 | [
"MIT"
] | null | null | null | hackathon 4.0 Demo_2021-01-09_13-31-31.py | ClointFusion-Community/CFC-Projects | c6381738ade07e6e8979bbae37400ec2b4e626c5 | [
"MIT"
] | null | null | null | # This code is generated automatically by ClointFusion BOT Builder Tool.
import ClointFusion as cf
import time
cf.window_show_desktop()
cf.mouse_click(int(cf.pg.size()[0]/2),int(cf.pg.size()[1]/2))
try:
cf.mouse_click(*cf.mouse_search_snip_return_coordinates_x_y(r'C:\Users\mrmay\AppData\Local\Temp\cf_log_gu0z2qio_generator\Images\Snips\1--240_558.png',conf=0.7, wait=10),left_or_right='left', single_double_triple = 'single')
except:
cf.mouse_click(240,558,left_or_right='left', single_double_triple = 'single')
time.sleep(0)
try:
cf.mouse_click(*cf.mouse_search_snip_return_coordinates_x_y(r'C:\Users\mrmay\AppData\Local\Temp\cf_log_gu0z2qio_generator\Images\Snips\2--240_558.png',conf=0.7, wait=13),left_or_right='left', single_double_triple = 'double')
except:
cf.mouse_click(240,558,left_or_right='left', single_double_triple = 'double')
time.sleep(3)
try:
cf.mouse_click(*cf.mouse_search_snip_return_coordinates_x_y(r'C:\Users\mrmay\AppData\Local\Temp\cf_log_gu0z2qio_generator\Images\Snips\3-NewTabGoogleChrome-407_252.png',conf=0.7, wait=11),left_or_right='left', single_double_triple = 'double')
except:
cf.mouse_click(407,252,left_or_right='left', single_double_triple = 'double')
time.sleep(1)
cf.key_write_enter('modi',key='')
time.sleep(1)
cf.key_press('enter')
time.sleep(4)
try:
cf.mouse_click(*cf.mouse_search_snip_return_coordinates_x_y(r'C:\Users\mrmay\AppData\Local\Temp\cf_log_gu0z2qio_generator\Images\Snips\4-modiGoogleSearchGoogleChrome-1889_244.png',conf=0.7, wait=16),left_or_right='left', single_double_triple = 'single')
except:
cf.mouse_click(1889,244,left_or_right='left', single_double_triple = 'single')
time.sleep(6)
try:
cf.mouse_click(*cf.mouse_search_snip_return_coordinates_x_y(r'C:\Users\mrmay\AppData\Local\Temp\cf_log_gu0z2qio_generator\Images\Snips\5-modiGoogleSearchGoogleChrome-1892_14.png',conf=0.7, wait=10),left_or_right='left', single_double_triple = 'single')
except:
cf.mouse_click(1892,14,left_or_right='left', single_double_triple = 'single')
time.sleep(0)
cf.window_close_windows('modi - Google Search - Google Chrome') | 45.234043 | 257 | 0.784572 | 358 | 2,126 | 4.357542 | 0.231844 | 0.071795 | 0.084615 | 0.096154 | 0.769872 | 0.739744 | 0.739744 | 0.723718 | 0.723718 | 0.723718 | 0 | 0.05449 | 0.067733 | 2,126 | 47 | 258 | 45.234043 | 0.732593 | 0.032926 | 0 | 0.411765 | 1 | 0.147059 | 0.318735 | 0.248175 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.058824 | 0 | 0.058824 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
686905917088b9759f298b196de640c33a4764fd | 475 | py | Python | nnfs/regularizers.py | tblut/NNFS | 75320c546043bc74f368a7a6edcd8bb70aa90dc4 | [
"MIT"
] | null | null | null | nnfs/regularizers.py | tblut/NNFS | 75320c546043bc74f368a7a6edcd8bb70aa90dc4 | [
"MIT"
] | null | null | null | nnfs/regularizers.py | tblut/NNFS | 75320c546043bc74f368a7a6edcd8bb70aa90dc4 | [
"MIT"
] | null | null | null | import numpy as np
class L1:
def __init__(self, l=0.01):
self.l = l
def __call__(self, params):
return self.l * np.sum(np.abs(params).reshape(-1))
def get_grad(self, params):
return self.l * np.sign(params)
class L2:
def __init__(self, l=0.01):
self.l = l
def __call__(self, params):
return self.l * np.sum(np.square(params).reshape(-1))
def get_grad(self, params):
return 2.0 * self.l * params
| 19.791667 | 61 | 0.585263 | 76 | 475 | 3.421053 | 0.328947 | 0.153846 | 0.246154 | 0.230769 | 0.765385 | 0.765385 | 0.738462 | 0.738462 | 0.738462 | 0.430769 | 0 | 0.034783 | 0.273684 | 475 | 23 | 62 | 20.652174 | 0.718841 | 0 | 0 | 0.533333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.4 | false | 0 | 0.066667 | 0.266667 | 0.866667 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 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 | 1 | 0 | 0 | 9 |
6884f7fd31c43780c4c275756b2de11c31f26306 | 16,145 | py | Python | tests/utils.py | jcbagneris/fms | b4ca85b09dfcac253437317c97f8d1b09fe09f75 | [
"BSD-3-Clause"
] | 84 | 2015-01-08T08:06:12.000Z | 2022-02-17T11:52:06.000Z | tests/utils.py | jcbagneris/fms | b4ca85b09dfcac253437317c97f8d1b09fe09f75 | [
"BSD-3-Clause"
] | null | null | null | tests/utils.py | jcbagneris/fms | b4ca85b09dfcac253437317c97f8d1b09fe09f75 | [
"BSD-3-Clause"
] | 25 | 2015-12-10T23:04:37.000Z | 2022-02-17T11:52:12.000Z | #!/usr/bin/env python
# -*- coding: utf8 -*-
"""
Tests for utils module.
"""
import unittest
import sys
from StringIO import StringIO
from fms.utils import CSVDELIMITERS
from fms.utils.parsers import YamlParamsParser, XmlParamsParser
from fms.utils.exceptions import MissingParameter
class YamlParserTests(unittest.TestCase):
"""
Tests for YamlParser class
"""
def setUp(self):
self.fixturesdir = "fixtures"
def testExperimentNameDefaultValue(self):
"""
Experiment name is built from filename if missing
"""
ymlparamsfile = '%s/minimalconfig.yml' % self.fixturesdir
params = YamlParamsParser(ymlparamsfile)
self.assertEqual(params['name'], '%s/minimalconfig.yml experiment' %
self.fixturesdir)
def testExperimentNameValue(self):
"""
Experiment name is correctly read
"""
ymlparamsfile = '%s/fullconfig.yml' % self.fixturesdir
params = YamlParamsParser(ymlparamsfile)
self.assertEqual(params['name'], 'Test Experiment')
def testUniqueByAgentDefaultValue(self):
"""
unique_by_agent value is True if missing
"""
ymlparamsfile = '%s/minimalconfig.yml' % self.fixturesdir
params = YamlParamsParser(ymlparamsfile)
self.assertTrue(params['unique_by_agent'])
def testCsvDelimiterDefaultValue(self):
"""
csvdelimiter value is ';' if missing
"""
ymlparamsfile = '%s/minimalconfig.yml' % self.fixturesdir
params = YamlParamsParser(ymlparamsfile)
self.assertEqual(params['csvdelimiter'], ';')
def testRandomseedDefaultValue(self):
"""
Randomseed should be None if missing
"""
ymlparamsfile = '%s/minimalconfig.yml' % self.fixturesdir
params = YamlParamsParser(ymlparamsfile)
self.assertEqual(params['randomseed'], None)
def testRandomSeedValue(self):
"""
Randomseed is read correctly
"""
ymlparamsfile = '%s/fullconfig.yml' % self.fixturesdir
params = YamlParamsParser(ymlparamsfile)
self.assertEqual(params['randomseed'], 12345678)
def testOutputfileDefaultValue(self):
"""
Outputfile should be sys.stdout if missing
"""
ymlparamsfile = '%s/minimalconfig.yml' % self.fixturesdir
params = YamlParamsParser(ymlparamsfile)
self.assertEqual(params['outputfilename'], 'sys.stdout')
def testOuputfileValue(self):
"""
Outputfile might be read from config
"""
ymlparamsfile = '%s/fullconfig.yml' % self.fixturesdir
params = YamlParamsParser(ymlparamsfile)
self.assertEqual(params['outputfilename'],
'%s/dummyoutput.csv' % self.fixturesdir)
def testOrdersLogFileDefaultValue(self):
"""
OrdersLogFile shoud be None if missing
"""
ymlparamsfile = '%s/minimalconfig.yml' % self.fixturesdir
params = YamlParamsParser(ymlparamsfile)
self.assertEqual(params['orderslogfilename'], None)
def testOrderLogFileValue(self):
"""
OrdersLogFile might be read from config
"""
ymlparamsfile = '%s/fullconfig.yml' % self.fixturesdir
params = YamlParamsParser(ymlparamsfile)
self.assertEqual(params['orderslogfilename'],
'%s/dummyoutput.log' % self.fixturesdir)
def testWorldMandatory(self):
"""
World param is mandatory in config file
"""
ymlparamsfile = '%s/missingworld.yml' % self.fixturesdir
self.assertRaises(MissingParameter, YamlParamsParser,
ymlparamsfile)
def testWorldClassValue(self):
"""
World class is read correctly
"""
ymlparamsfile = '%s/minimalconfig.yml' % self.fixturesdir
params = YamlParamsParser(ymlparamsfile)
self.assertEqual(params['world']['classname'], 'NullWorld')
def testOneEngineMandatory(self):
"""
At least one engine param is mandatory in config file
"""
ymlparamsfile = '%s/missingengine.yml' % self.fixturesdir
self.assertRaises(MissingParameter, YamlParamsParser,
ymlparamsfile)
def testEngineClassValue(self):
"""
Engine classname is read correctly
"""
ymlparamsfile = '%s/minimalconfig.yml' % self.fixturesdir
params = YamlParamsParser(ymlparamsfile)
self.assertEqual(params['engines'][0]['classname'],
'AsynchronousRandWReplace')
def testDaysDefaultValue(self):
"""
Engine's days param should be 1 if missing
"""
ymlparamsfile = '%s/minimalconfig.yml' % self.fixturesdir
params = YamlParamsParser(ymlparamsfile)
self.assertEqual(params['engines'][0]['days'], 1)
def testDaysValue(self):
"""
Engine's days param is correctly read as an int
"""
ymlparamsfile = '%s/fullconfig.yml' % self.fixturesdir
params = YamlParamsParser(ymlparamsfile)
self.assertEqual(params['engines'][0]['days'], 2)
def testClearBooksAtEODDefaultValue(self):
"""
Clear books at end of day if this param is missing
"""
ymlparamsfile = '%s/minimalconfig.yml' % self.fixturesdir
params = YamlParamsParser(ymlparamsfile)
self.assertTrue(params['engines'][0]['clearbooksateod'])
def testClearBooksAtEODValue(self):
"""
Engine's clearbooksateod param is correctly read
"""
ymlparamsfile = '%s/fullconfig.yml' % self.fixturesdir
params = YamlParamsParser(ymlparamsfile)
self.assertFalse(params['engines'][0]['clearbooksateod'])
def testDaylengthDefaultValue(self):
"""
Daylength should be 1 if missing
"""
ymlparamsfile = '%s/minimalconfig.yml' % self.fixturesdir
params = YamlParamsParser(ymlparamsfile)
self.assertEqual(params['engines'][0]['daylength'], 1)
def testDaylengthValue(self):
"""
Daylength is correctly read as an int
"""
ymlparamsfile = '%s/fullconfig.yml' % self.fixturesdir
params = YamlParamsParser(ymlparamsfile)
self.assertEqual(params['engines'][0]['daylength'], 10)
def testMarketMandatory(self):
"""
One market param per engine is mandatory
"""
ymlparamsfile = '%s/missingmarket.yml' % self.fixturesdir
self.assertRaises(MissingParameter, YamlParamsParser,
ymlparamsfile)
def testMarketClassValue(self):
"""
Market param classname is read correctly
"""
ymlparamsfile = '%s/minimalconfig.yml' % self.fixturesdir
params = YamlParamsParser(ymlparamsfile)
self.assertEqual(params['engines'][0]['market']['classname'],
'ContinuousOrderDriven')
def testAgentsMandatory(self):
"""
Agents param is mandatory in config file
"""
ymlparamsfile = '%s/missingagents.yml' % self.fixturesdir
self.assertRaises(MissingParameter, YamlParamsParser,
ymlparamsfile)
def testAgentMandatory(self):
"""
At least one agent param is mandatory in agents
"""
ymlparamsfile = '%s/missingagent.yml' % self.fixturesdir
self.assertRaises(MissingParameter, YamlParamsParser,
ymlparamsfile)
class XmlParserTests(unittest.TestCase):
"""
Tests for XmlParser class
"""
def setUp(self):
self.fixturesdir = "fixtures"
self.missingengine = """
<experiments>
<experiment>
<world>
<className>NullWorld</className>
</world>
<market>
<className>DummyMarket</className>
</market>
<agents>
<agent>
<className>StupidTrader</className>
</agent>
</agents>
</experiment>
</experiments>
"""
self.missingworld = """
<experiments>
<experiment>
<simulationEngine>
<className>AsynchronousRandom</className>
</simulationEngine>
<market>
<className>DummyMarket</className>
</market>
<agents>
<agent>
<className>StupidTrader</className>
</agent>
</agents>
</experiment>
</experiments>
"""
self.missingmarket = """
<experiments>
<experiment>
<simulationEngine>
<className>AsynchronousRandom</className>
</simulationEngine>
<world>
<className>NullWorld</className>
</world>
<agents>
<agent>
<className>StupidTrader</className>
</agent>
</agents>
</experiment>
</experiments>
"""
self.missingagents = """
<experiments>
<experiment>
<simulationEngine>
<className>AsynchronousRandom</className>
</simulationEngine>
<world>
<className>NullWorld</className>
</world>
<market>
<className>DummyMarket</className>
</market>
</experiment>
</experiments>
"""
self.missingagent = """
<experiments>
<experiment>
<simulationEngine>
<className>AsynchronousRandom</className>
</simulationEngine>
<world>
<className>NullWorld</className>
</world>
<market>
<className>DummyMarket</className>
</market>
<agents>
</agents>
</experiment>
</experiments>
"""
def testExperimentNameDefaultValue(self):
"""
Experiment name is built from filename if missing
"""
xmlparamsfile = '%s/minimalconfig.xml' % self.fixturesdir
params = XmlParamsParser(xmlparamsfile)
self.assertEqual(params['name'], '%s/minimalconfig.xml experiment' %
self.fixturesdir)
def testExperimentNameValue(self):
"""
Experiment name is correctly read
"""
xmlparamsfile = '%s/fullconfig.xml' % self.fixturesdir
params = XmlParamsParser(xmlparamsfile)
self.assertEqual(params['name'], 'Test Experiment')
def testRandomseedDefaultValue(self):
"""
Randomseed should be None if missing
"""
xmlparamsfile = '%s/minimalconfig.xml' % self.fixturesdir
params = XmlParamsParser(xmlparamsfile)
self.assertEqual(params['randomseed'], None)
def testRandomSeedValue(self):
"""
Randomseed is read correctly
"""
xmlparamsfile = '%s/fullconfig.xml' % self.fixturesdir
params = XmlParamsParser(xmlparamsfile)
self.assertEqual(params['randomseed'], '12345678')
def testOutputfileDefaultValue(self):
"""
Outputfile should be sys.stdout if missing
"""
xmlparamsfile = '%s/minimalconfig.xml' % self.fixturesdir
params = XmlParamsParser(xmlparamsfile)
self.assertEqual(params['outputfilename'], 'sys.stdout')
def testOuputfileValue(self):
"""
Outputfile might be read from config
"""
xmlparamsfile = '%s/fullconfig.xml' % self.fixturesdir
params = XmlParamsParser(xmlparamsfile)
self.assertEqual(params['outputfilename'],
'%s/dummyoutput.csv' % self.fixturesdir)
def testOrdersLogFileDefaultValue(self):
"""
OrdersLogFile shoud be None if missing
"""
xmlparamsfile = '%s/minimalconfig.xml' % self.fixturesdir
params = XmlParamsParser(xmlparamsfile)
self.assertEqual(params['orderslogfilename'], None)
def testOrderLogFileValue(self):
"""
OrdersLogFile might be read from config
"""
xmlparamsfile = '%s/fullconfig.xml' % self.fixturesdir
params = XmlParamsParser(xmlparamsfile)
self.assertEqual(params['orderslogfilename'],
'%s/dummyoutput.log' % self.fixturesdir)
def testWorldMandatory(self):
"""
World param is mandatory in config file
"""
xmlparamsfile = StringIO(self.missingworld)
self.assertRaises(MissingParameter, XmlParamsParser,
xmlparamsfile)
def testWorldClassValue(self):
"""
World class is read correctly
"""
xmlparamsfile = '%s/minimalconfig.xml' % self.fixturesdir
params = XmlParamsParser(xmlparamsfile)
self.assertEqual(params['world']['classname'], 'NullWorld')
def testOneEngineMandatory(self):
"""
At least one engine param is mandatory in config file
"""
xmlparamsfile = StringIO(self.missingengine)
self.assertRaises(MissingParameter, XmlParamsParser,
xmlparamsfile)
def testEngineClassValue(self):
"""
Engine classname is read correctly
"""
xmlparamsfile = '%s/minimalconfig.xml' % self.fixturesdir
params = XmlParamsParser(xmlparamsfile)
self.assertEqual(params['engines'][0]['classname'],
'AsynchronousRandom')
def testDaysDefaultValue(self):
"""
Engine's days param should be 1 if missing
"""
xmlparamsfile = '%s/minimalconfig.xml' % self.fixturesdir
params = XmlParamsParser(xmlparamsfile)
self.assertEqual(params['engines'][0]['days'], 1)
def testDaysValue(self):
"""
Engine's days param is correctly read as an int
"""
xmlparamsfile = '%s/fullconfig.xml' % self.fixturesdir
params = XmlParamsParser(xmlparamsfile)
self.assertEqual(params['engines'][0]['days'], 2)
def testClearBooksAtEODDefaultValue(self):
"""
Engines clear books at end of day
"""
xmlparamsfile = '%s/minimalconfig.xml' % self.fixturesdir
params = XmlParamsParser(xmlparamsfile)
self.assertTrue(params['engines'][0]['clearbooksateod'])
def testDaylengthDefaultValue(self):
"""
Daylength should be 1 if missing
"""
xmlparamsfile = '%s/minimalconfig.xml' % self.fixturesdir
params = XmlParamsParser(xmlparamsfile)
self.assertEqual(params['engines'][0]['daylength'], 1)
def testDaylengthValue(self):
"""
Daylength is correctly read as an int
"""
xmlparamsfile = '%s/fullconfig.xml' % self.fixturesdir
params = XmlParamsParser(xmlparamsfile)
self.assertEqual(params['engines'][0]['daylength'], 10)
def testMarketMandatory(self):
"""
One market param per engine is mandatory
"""
xmlparamsfile = StringIO(self.missingmarket)
self.assertRaises(MissingParameter, XmlParamsParser, xmlparamsfile)
def testMarketClassValue(self):
"""
Market param classname is read correctly
"""
xmlparamsfile = '%s/minimalconfig.xml' % self.fixturesdir
params = XmlParamsParser(xmlparamsfile)
self.assertEqual(params['engines'][0]['market']['classname'],
'DummyMarket')
def testAgentsMandatory(self):
"""
Agents param is mandatory in config file
"""
xmlparamsfile = StringIO(self.missingagents)
self.assertRaises(MissingParameter, XmlParamsParser, xmlparamsfile)
def testAgentMandatory(self):
"""
At least one agent param is mandatory in agents
"""
xmlparamsfile = StringIO(self.missingagent)
self.assertRaises(MissingParameter, XmlParamsParser, xmlparamsfile)
if __name__ == "__main__":
unittest.main()
| 33.635417 | 77 | 0.598823 | 1,278 | 16,145 | 7.555556 | 0.113459 | 0.074565 | 0.076118 | 0.047225 | 0.896645 | 0.890431 | 0.856669 | 0.829122 | 0.80292 | 0.743786 | 0 | 0.00405 | 0.296562 | 16,145 | 479 | 78 | 33.705637 | 0.846174 | 0.119666 | 0 | 0.862676 | 0 | 0 | 0.287769 | 0.043991 | 0 | 0 | 0 | 0 | 0.158451 | 1 | 0.165493 | false | 0 | 0.021127 | 0 | 0.193662 | 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 |
68a0a9c975c5df90cb45245f5e08e97e6f0936f8 | 31,522 | py | Python | sdk/python/pulumi_wavefront/dashboard.py | pulumi/pulumi-wavefront | 1d199d386ee241fa2ef94553e6cae1359ec9ccf6 | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2022-02-20T09:48:33.000Z | 2022-02-20T09:48:33.000Z | sdk/python/pulumi_wavefront/dashboard.py | pulumi/pulumi-wavefront | 1d199d386ee241fa2ef94553e6cae1359ec9ccf6 | [
"ECL-2.0",
"Apache-2.0"
] | 40 | 2020-08-12T08:37:24.000Z | 2022-03-31T15:51:17.000Z | sdk/python/pulumi_wavefront/dashboard.py | pulumi/pulumi-wavefront | 1d199d386ee241fa2ef94553e6cae1359ec9ccf6 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # 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
from . import outputs
from ._inputs import *
__all__ = ['DashboardArgs', 'Dashboard']
@pulumi.input_type
class DashboardArgs:
def __init__(__self__, *,
description: pulumi.Input[str],
sections: pulumi.Input[Sequence[pulumi.Input['DashboardSectionArgs']]],
tags: pulumi.Input[Sequence[pulumi.Input[str]]],
url: pulumi.Input[str],
can_modifies: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
can_views: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
display_query_parameters: Optional[pulumi.Input[bool]] = None,
display_section_table_of_contents: Optional[pulumi.Input[bool]] = None,
event_filter_type: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
parameter_details: Optional[pulumi.Input[Sequence[pulumi.Input['DashboardParameterDetailArgs']]]] = None):
"""
The set of arguments for constructing a Dashboard resource.
:param pulumi.Input[str] description: Human-readable description of the dashboard
:param pulumi.Input[Sequence[pulumi.Input['DashboardSectionArgs']]] sections: Dashboard chart sections. See dashboard sections
:param pulumi.Input[Sequence[pulumi.Input[str]]] tags: A set of tags to assign to this resource.
:param pulumi.Input[str] url: Unique identifier, also URL slug, of the dashboard
:param pulumi.Input[Sequence[pulumi.Input[str]]] can_modifies: A list of users that have modify ACL access to the dashboard
:param pulumi.Input[Sequence[pulumi.Input[str]]] can_views: A list of users that have view ACL access to the dashboard
:param pulumi.Input[bool] display_query_parameters: Whether the dashboard parameters section is opened by default when the dashboard
is shown
:param pulumi.Input[bool] display_section_table_of_contents: Whether the "pills" quick-linked the sections of the dashboard are
displayed by default when the dashboard is shown
:param pulumi.Input[str] event_filter_type: How charts belonging to this dashboard should display events. BYCHART is default if
unspecified; Valid options are: `BYCHART`, `AUTOMATIC`, `ALL`, `NONE`, `BYDASHBOARD`, and `BYCHARTANDDASHBOARD`
:param pulumi.Input[str] name: Name of the dashboard
:param pulumi.Input[Sequence[pulumi.Input['DashboardParameterDetailArgs']]] parameter_details: The current JSON representation of dashboard parameters. See parameter details
"""
pulumi.set(__self__, "description", description)
pulumi.set(__self__, "sections", sections)
pulumi.set(__self__, "tags", tags)
pulumi.set(__self__, "url", url)
if can_modifies is not None:
pulumi.set(__self__, "can_modifies", can_modifies)
if can_views is not None:
pulumi.set(__self__, "can_views", can_views)
if display_query_parameters is not None:
pulumi.set(__self__, "display_query_parameters", display_query_parameters)
if display_section_table_of_contents is not None:
pulumi.set(__self__, "display_section_table_of_contents", display_section_table_of_contents)
if event_filter_type is not None:
pulumi.set(__self__, "event_filter_type", event_filter_type)
if name is not None:
pulumi.set(__self__, "name", name)
if parameter_details is not None:
pulumi.set(__self__, "parameter_details", parameter_details)
@property
@pulumi.getter
def description(self) -> pulumi.Input[str]:
"""
Human-readable description of the dashboard
"""
return pulumi.get(self, "description")
@description.setter
def description(self, value: pulumi.Input[str]):
pulumi.set(self, "description", value)
@property
@pulumi.getter
def sections(self) -> pulumi.Input[Sequence[pulumi.Input['DashboardSectionArgs']]]:
"""
Dashboard chart sections. See dashboard sections
"""
return pulumi.get(self, "sections")
@sections.setter
def sections(self, value: pulumi.Input[Sequence[pulumi.Input['DashboardSectionArgs']]]):
pulumi.set(self, "sections", value)
@property
@pulumi.getter
def tags(self) -> pulumi.Input[Sequence[pulumi.Input[str]]]:
"""
A set of tags to assign to this resource.
"""
return pulumi.get(self, "tags")
@tags.setter
def tags(self, value: pulumi.Input[Sequence[pulumi.Input[str]]]):
pulumi.set(self, "tags", value)
@property
@pulumi.getter
def url(self) -> pulumi.Input[str]:
"""
Unique identifier, also URL slug, of the dashboard
"""
return pulumi.get(self, "url")
@url.setter
def url(self, value: pulumi.Input[str]):
pulumi.set(self, "url", value)
@property
@pulumi.getter(name="canModifies")
def can_modifies(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
A list of users that have modify ACL access to the dashboard
"""
return pulumi.get(self, "can_modifies")
@can_modifies.setter
def can_modifies(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "can_modifies", value)
@property
@pulumi.getter(name="canViews")
def can_views(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
A list of users that have view ACL access to the dashboard
"""
return pulumi.get(self, "can_views")
@can_views.setter
def can_views(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "can_views", value)
@property
@pulumi.getter(name="displayQueryParameters")
def display_query_parameters(self) -> Optional[pulumi.Input[bool]]:
"""
Whether the dashboard parameters section is opened by default when the dashboard
is shown
"""
return pulumi.get(self, "display_query_parameters")
@display_query_parameters.setter
def display_query_parameters(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "display_query_parameters", value)
@property
@pulumi.getter(name="displaySectionTableOfContents")
def display_section_table_of_contents(self) -> Optional[pulumi.Input[bool]]:
"""
Whether the "pills" quick-linked the sections of the dashboard are
displayed by default when the dashboard is shown
"""
return pulumi.get(self, "display_section_table_of_contents")
@display_section_table_of_contents.setter
def display_section_table_of_contents(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "display_section_table_of_contents", value)
@property
@pulumi.getter(name="eventFilterType")
def event_filter_type(self) -> Optional[pulumi.Input[str]]:
"""
How charts belonging to this dashboard should display events. BYCHART is default if
unspecified; Valid options are: `BYCHART`, `AUTOMATIC`, `ALL`, `NONE`, `BYDASHBOARD`, and `BYCHARTANDDASHBOARD`
"""
return pulumi.get(self, "event_filter_type")
@event_filter_type.setter
def event_filter_type(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "event_filter_type", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
Name of the dashboard
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter(name="parameterDetails")
def parameter_details(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['DashboardParameterDetailArgs']]]]:
"""
The current JSON representation of dashboard parameters. See parameter details
"""
return pulumi.get(self, "parameter_details")
@parameter_details.setter
def parameter_details(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['DashboardParameterDetailArgs']]]]):
pulumi.set(self, "parameter_details", value)
@pulumi.input_type
class _DashboardState:
def __init__(__self__, *,
can_modifies: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
can_views: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
description: Optional[pulumi.Input[str]] = None,
display_query_parameters: Optional[pulumi.Input[bool]] = None,
display_section_table_of_contents: Optional[pulumi.Input[bool]] = None,
event_filter_type: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
parameter_details: Optional[pulumi.Input[Sequence[pulumi.Input['DashboardParameterDetailArgs']]]] = None,
sections: Optional[pulumi.Input[Sequence[pulumi.Input['DashboardSectionArgs']]]] = None,
tags: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
url: Optional[pulumi.Input[str]] = None):
"""
Input properties used for looking up and filtering Dashboard resources.
:param pulumi.Input[Sequence[pulumi.Input[str]]] can_modifies: A list of users that have modify ACL access to the dashboard
:param pulumi.Input[Sequence[pulumi.Input[str]]] can_views: A list of users that have view ACL access to the dashboard
:param pulumi.Input[str] description: Human-readable description of the dashboard
:param pulumi.Input[bool] display_query_parameters: Whether the dashboard parameters section is opened by default when the dashboard
is shown
:param pulumi.Input[bool] display_section_table_of_contents: Whether the "pills" quick-linked the sections of the dashboard are
displayed by default when the dashboard is shown
:param pulumi.Input[str] event_filter_type: How charts belonging to this dashboard should display events. BYCHART is default if
unspecified; Valid options are: `BYCHART`, `AUTOMATIC`, `ALL`, `NONE`, `BYDASHBOARD`, and `BYCHARTANDDASHBOARD`
:param pulumi.Input[str] name: Name of the dashboard
:param pulumi.Input[Sequence[pulumi.Input['DashboardParameterDetailArgs']]] parameter_details: The current JSON representation of dashboard parameters. See parameter details
:param pulumi.Input[Sequence[pulumi.Input['DashboardSectionArgs']]] sections: Dashboard chart sections. See dashboard sections
:param pulumi.Input[Sequence[pulumi.Input[str]]] tags: A set of tags to assign to this resource.
:param pulumi.Input[str] url: Unique identifier, also URL slug, of the dashboard
"""
if can_modifies is not None:
pulumi.set(__self__, "can_modifies", can_modifies)
if can_views is not None:
pulumi.set(__self__, "can_views", can_views)
if description is not None:
pulumi.set(__self__, "description", description)
if display_query_parameters is not None:
pulumi.set(__self__, "display_query_parameters", display_query_parameters)
if display_section_table_of_contents is not None:
pulumi.set(__self__, "display_section_table_of_contents", display_section_table_of_contents)
if event_filter_type is not None:
pulumi.set(__self__, "event_filter_type", event_filter_type)
if name is not None:
pulumi.set(__self__, "name", name)
if parameter_details is not None:
pulumi.set(__self__, "parameter_details", parameter_details)
if sections is not None:
pulumi.set(__self__, "sections", sections)
if tags is not None:
pulumi.set(__self__, "tags", tags)
if url is not None:
pulumi.set(__self__, "url", url)
@property
@pulumi.getter(name="canModifies")
def can_modifies(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
A list of users that have modify ACL access to the dashboard
"""
return pulumi.get(self, "can_modifies")
@can_modifies.setter
def can_modifies(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "can_modifies", value)
@property
@pulumi.getter(name="canViews")
def can_views(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
A list of users that have view ACL access to the dashboard
"""
return pulumi.get(self, "can_views")
@can_views.setter
def can_views(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "can_views", value)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
"""
Human-readable description of the dashboard
"""
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@property
@pulumi.getter(name="displayQueryParameters")
def display_query_parameters(self) -> Optional[pulumi.Input[bool]]:
"""
Whether the dashboard parameters section is opened by default when the dashboard
is shown
"""
return pulumi.get(self, "display_query_parameters")
@display_query_parameters.setter
def display_query_parameters(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "display_query_parameters", value)
@property
@pulumi.getter(name="displaySectionTableOfContents")
def display_section_table_of_contents(self) -> Optional[pulumi.Input[bool]]:
"""
Whether the "pills" quick-linked the sections of the dashboard are
displayed by default when the dashboard is shown
"""
return pulumi.get(self, "display_section_table_of_contents")
@display_section_table_of_contents.setter
def display_section_table_of_contents(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "display_section_table_of_contents", value)
@property
@pulumi.getter(name="eventFilterType")
def event_filter_type(self) -> Optional[pulumi.Input[str]]:
"""
How charts belonging to this dashboard should display events. BYCHART is default if
unspecified; Valid options are: `BYCHART`, `AUTOMATIC`, `ALL`, `NONE`, `BYDASHBOARD`, and `BYCHARTANDDASHBOARD`
"""
return pulumi.get(self, "event_filter_type")
@event_filter_type.setter
def event_filter_type(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "event_filter_type", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
Name of the dashboard
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter(name="parameterDetails")
def parameter_details(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['DashboardParameterDetailArgs']]]]:
"""
The current JSON representation of dashboard parameters. See parameter details
"""
return pulumi.get(self, "parameter_details")
@parameter_details.setter
def parameter_details(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['DashboardParameterDetailArgs']]]]):
pulumi.set(self, "parameter_details", value)
@property
@pulumi.getter
def sections(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['DashboardSectionArgs']]]]:
"""
Dashboard chart sections. See dashboard sections
"""
return pulumi.get(self, "sections")
@sections.setter
def sections(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['DashboardSectionArgs']]]]):
pulumi.set(self, "sections", value)
@property
@pulumi.getter
def tags(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
A set of tags to assign to this resource.
"""
return pulumi.get(self, "tags")
@tags.setter
def tags(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "tags", value)
@property
@pulumi.getter
def url(self) -> Optional[pulumi.Input[str]]:
"""
Unique identifier, also URL slug, of the dashboard
"""
return pulumi.get(self, "url")
@url.setter
def url(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "url", value)
class Dashboard(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
can_modifies: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
can_views: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
description: Optional[pulumi.Input[str]] = None,
display_query_parameters: Optional[pulumi.Input[bool]] = None,
display_section_table_of_contents: Optional[pulumi.Input[bool]] = None,
event_filter_type: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
parameter_details: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['DashboardParameterDetailArgs']]]]] = None,
sections: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['DashboardSectionArgs']]]]] = None,
tags: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
url: Optional[pulumi.Input[str]] = None,
__props__=None):
"""
Provides a Wavefront Dashboard resource. This allows dashboards to be created, updated, and deleted.
## Import
Dashboards can be imported using the `id`, e.g.
```sh
$ pulumi import wavefront:index/dashboard:Dashboard dashboard tftestimport
```
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[Sequence[pulumi.Input[str]]] can_modifies: A list of users that have modify ACL access to the dashboard
:param pulumi.Input[Sequence[pulumi.Input[str]]] can_views: A list of users that have view ACL access to the dashboard
:param pulumi.Input[str] description: Human-readable description of the dashboard
:param pulumi.Input[bool] display_query_parameters: Whether the dashboard parameters section is opened by default when the dashboard
is shown
:param pulumi.Input[bool] display_section_table_of_contents: Whether the "pills" quick-linked the sections of the dashboard are
displayed by default when the dashboard is shown
:param pulumi.Input[str] event_filter_type: How charts belonging to this dashboard should display events. BYCHART is default if
unspecified; Valid options are: `BYCHART`, `AUTOMATIC`, `ALL`, `NONE`, `BYDASHBOARD`, and `BYCHARTANDDASHBOARD`
:param pulumi.Input[str] name: Name of the dashboard
:param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['DashboardParameterDetailArgs']]]] parameter_details: The current JSON representation of dashboard parameters. See parameter details
:param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['DashboardSectionArgs']]]] sections: Dashboard chart sections. See dashboard sections
:param pulumi.Input[Sequence[pulumi.Input[str]]] tags: A set of tags to assign to this resource.
:param pulumi.Input[str] url: Unique identifier, also URL slug, of the dashboard
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: DashboardArgs,
opts: Optional[pulumi.ResourceOptions] = None):
"""
Provides a Wavefront Dashboard resource. This allows dashboards to be created, updated, and deleted.
## Import
Dashboards can be imported using the `id`, e.g.
```sh
$ pulumi import wavefront:index/dashboard:Dashboard dashboard tftestimport
```
:param str resource_name: The name of the resource.
:param DashboardArgs 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(DashboardArgs, 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,
can_modifies: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
can_views: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
description: Optional[pulumi.Input[str]] = None,
display_query_parameters: Optional[pulumi.Input[bool]] = None,
display_section_table_of_contents: Optional[pulumi.Input[bool]] = None,
event_filter_type: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
parameter_details: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['DashboardParameterDetailArgs']]]]] = None,
sections: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['DashboardSectionArgs']]]]] = None,
tags: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
url: 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__ = DashboardArgs.__new__(DashboardArgs)
__props__.__dict__["can_modifies"] = can_modifies
__props__.__dict__["can_views"] = can_views
if description is None and not opts.urn:
raise TypeError("Missing required property 'description'")
__props__.__dict__["description"] = description
__props__.__dict__["display_query_parameters"] = display_query_parameters
__props__.__dict__["display_section_table_of_contents"] = display_section_table_of_contents
__props__.__dict__["event_filter_type"] = event_filter_type
__props__.__dict__["name"] = name
__props__.__dict__["parameter_details"] = parameter_details
if sections is None and not opts.urn:
raise TypeError("Missing required property 'sections'")
__props__.__dict__["sections"] = sections
if tags is None and not opts.urn:
raise TypeError("Missing required property 'tags'")
__props__.__dict__["tags"] = tags
if url is None and not opts.urn:
raise TypeError("Missing required property 'url'")
__props__.__dict__["url"] = url
super(Dashboard, __self__).__init__(
'wavefront:index/dashboard:Dashboard',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
can_modifies: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
can_views: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
description: Optional[pulumi.Input[str]] = None,
display_query_parameters: Optional[pulumi.Input[bool]] = None,
display_section_table_of_contents: Optional[pulumi.Input[bool]] = None,
event_filter_type: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
parameter_details: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['DashboardParameterDetailArgs']]]]] = None,
sections: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['DashboardSectionArgs']]]]] = None,
tags: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
url: Optional[pulumi.Input[str]] = None) -> 'Dashboard':
"""
Get an existing Dashboard 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[Sequence[pulumi.Input[str]]] can_modifies: A list of users that have modify ACL access to the dashboard
:param pulumi.Input[Sequence[pulumi.Input[str]]] can_views: A list of users that have view ACL access to the dashboard
:param pulumi.Input[str] description: Human-readable description of the dashboard
:param pulumi.Input[bool] display_query_parameters: Whether the dashboard parameters section is opened by default when the dashboard
is shown
:param pulumi.Input[bool] display_section_table_of_contents: Whether the "pills" quick-linked the sections of the dashboard are
displayed by default when the dashboard is shown
:param pulumi.Input[str] event_filter_type: How charts belonging to this dashboard should display events. BYCHART is default if
unspecified; Valid options are: `BYCHART`, `AUTOMATIC`, `ALL`, `NONE`, `BYDASHBOARD`, and `BYCHARTANDDASHBOARD`
:param pulumi.Input[str] name: Name of the dashboard
:param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['DashboardParameterDetailArgs']]]] parameter_details: The current JSON representation of dashboard parameters. See parameter details
:param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['DashboardSectionArgs']]]] sections: Dashboard chart sections. See dashboard sections
:param pulumi.Input[Sequence[pulumi.Input[str]]] tags: A set of tags to assign to this resource.
:param pulumi.Input[str] url: Unique identifier, also URL slug, of the dashboard
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _DashboardState.__new__(_DashboardState)
__props__.__dict__["can_modifies"] = can_modifies
__props__.__dict__["can_views"] = can_views
__props__.__dict__["description"] = description
__props__.__dict__["display_query_parameters"] = display_query_parameters
__props__.__dict__["display_section_table_of_contents"] = display_section_table_of_contents
__props__.__dict__["event_filter_type"] = event_filter_type
__props__.__dict__["name"] = name
__props__.__dict__["parameter_details"] = parameter_details
__props__.__dict__["sections"] = sections
__props__.__dict__["tags"] = tags
__props__.__dict__["url"] = url
return Dashboard(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter(name="canModifies")
def can_modifies(self) -> pulumi.Output[Sequence[str]]:
"""
A list of users that have modify ACL access to the dashboard
"""
return pulumi.get(self, "can_modifies")
@property
@pulumi.getter(name="canViews")
def can_views(self) -> pulumi.Output[Optional[Sequence[str]]]:
"""
A list of users that have view ACL access to the dashboard
"""
return pulumi.get(self, "can_views")
@property
@pulumi.getter
def description(self) -> pulumi.Output[str]:
"""
Human-readable description of the dashboard
"""
return pulumi.get(self, "description")
@property
@pulumi.getter(name="displayQueryParameters")
def display_query_parameters(self) -> pulumi.Output[Optional[bool]]:
"""
Whether the dashboard parameters section is opened by default when the dashboard
is shown
"""
return pulumi.get(self, "display_query_parameters")
@property
@pulumi.getter(name="displaySectionTableOfContents")
def display_section_table_of_contents(self) -> pulumi.Output[Optional[bool]]:
"""
Whether the "pills" quick-linked the sections of the dashboard are
displayed by default when the dashboard is shown
"""
return pulumi.get(self, "display_section_table_of_contents")
@property
@pulumi.getter(name="eventFilterType")
def event_filter_type(self) -> pulumi.Output[Optional[str]]:
"""
How charts belonging to this dashboard should display events. BYCHART is default if
unspecified; Valid options are: `BYCHART`, `AUTOMATIC`, `ALL`, `NONE`, `BYDASHBOARD`, and `BYCHARTANDDASHBOARD`
"""
return pulumi.get(self, "event_filter_type")
@property
@pulumi.getter
def name(self) -> pulumi.Output[str]:
"""
Name of the dashboard
"""
return pulumi.get(self, "name")
@property
@pulumi.getter(name="parameterDetails")
def parameter_details(self) -> pulumi.Output[Optional[Sequence['outputs.DashboardParameterDetail']]]:
"""
The current JSON representation of dashboard parameters. See parameter details
"""
return pulumi.get(self, "parameter_details")
@property
@pulumi.getter
def sections(self) -> pulumi.Output[Sequence['outputs.DashboardSection']]:
"""
Dashboard chart sections. See dashboard sections
"""
return pulumi.get(self, "sections")
@property
@pulumi.getter
def tags(self) -> pulumi.Output[Sequence[str]]:
"""
A set of tags to assign to this resource.
"""
return pulumi.get(self, "tags")
@property
@pulumi.getter
def url(self) -> pulumi.Output[str]:
"""
Unique identifier, also URL slug, of the dashboard
"""
return pulumi.get(self, "url")
| 47.688351 | 199 | 0.666265 | 3,630 | 31,522 | 5.578788 | 0.056198 | 0.115155 | 0.064293 | 0.080243 | 0.909881 | 0.888796 | 0.876846 | 0.856056 | 0.85023 | 0.837391 | 0 | 0.000041 | 0.230347 | 31,522 | 660 | 200 | 47.760606 | 0.834673 | 0.308483 | 0 | 0.767016 | 1 | 0 | 0.120012 | 0.049832 | 0 | 0 | 0 | 0 | 0 | 1 | 0.162304 | false | 0.002618 | 0.018325 | 0 | 0.277487 | 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 |
d79c452262dd49f7881ae3e89e74d97124b75bb5 | 10,568 | py | Python | CxSM_FeynmanGauge_UFO/decays.py | YangPhy/CxSM_FR | 10ad2ebe0ffa91e6f9e6d4fcdc59faa00860576a | [
"MIT"
] | null | null | null | CxSM_FeynmanGauge_UFO/decays.py | YangPhy/CxSM_FR | 10ad2ebe0ffa91e6f9e6d4fcdc59faa00860576a | [
"MIT"
] | null | null | null | CxSM_FeynmanGauge_UFO/decays.py | YangPhy/CxSM_FR | 10ad2ebe0ffa91e6f9e6d4fcdc59faa00860576a | [
"MIT"
] | null | null | null | # This file was automatically created by FeynRules 2.3.36
# Mathematica version: 11.3.0 for Linux x86 (64-bit) (March 7, 2018)
# Date: Tue 15 Feb 2022 16:39:52
from object_library import all_decays, Decay
import particles as P
Decay_b = Decay(name = 'Decay_b',
particle = P.b,
partial_widths = {(P.W__minus__,P.t):'(((3*ee**2*MB**2)/(2.*sw**2) + (3*ee**2*MT**2)/(2.*sw**2) + (3*ee**2*MB**4)/(2.*MW**2*sw**2) - (3*ee**2*MB**2*MT**2)/(MW**2*sw**2) + (3*ee**2*MT**4)/(2.*MW**2*sw**2) - (3*ee**2*MW**2)/sw**2)*cmath.sqrt(MB**4 - 2*MB**2*MT**2 + MT**4 - 2*MB**2*MW**2 - 2*MT**2*MW**2 + MW**4))/(96.*cmath.pi*abs(MB)**3)'})
Decay_h1 = Decay(name = 'Decay_h1',
particle = P.h1,
partial_widths = {(P.b,P.b__tilde__):'((-12*ca**2*MB**2*yb**2 + 3*ca**2*Mh1**2*yb**2)*cmath.sqrt(-4*MB**2*Mh1**2 + Mh1**4))/(16.*cmath.pi*abs(Mh1)**3)',
(P.h2,P.h2):'(((ca**6*delta2**2*vev**2)/4. - ca**4*delta2**2*sa**2*vev**2 + (3*ca**4*delta2*lamd*sa**2*vev**2)/2. + ca**2*delta2**2*sa**4*vev**2 - 3*ca**2*delta2*lamd*sa**4*vev**2 + (9*ca**2*lamd**2*sa**4*vev**2)/4. + (3*ca**5*d2*delta2*sa*vev*vs)/2. - ca**5*delta2**2*sa*vev*vs - 3*ca**3*d2*delta2*sa**3*vev*vs + (5*ca**3*delta2**2*sa**3*vev*vs)/2. + (9*ca**3*d2*lamd*sa**3*vev*vs)/2. - 3*ca**3*delta2*lamd*sa**3*vev*vs - ca*delta2**2*sa**5*vev*vs + (3*ca*delta2*lamd*sa**5*vev*vs)/2. + (9*ca**4*d2**2*sa**2*vs**2)/4. - 3*ca**4*d2*delta2*sa**2*vs**2 + ca**4*delta2**2*sa**2*vs**2 + (3*ca**2*d2*delta2*sa**4*vs**2)/2. - ca**2*delta2**2*sa**4*vs**2 + (delta2**2*sa**6*vs**2)/4.)*cmath.sqrt(Mh1**4 - 4*Mh1**2*Mh2**2))/(32.*cmath.pi*abs(Mh1)**3)',
(P.HA,P.HA):'(((ca**2*delta2**2*vev**2)/4. + (ca*d2*delta2*sa*vev*vs)/2. + (d2**2*sa**2*vs**2)/4.)*cmath.sqrt(Mh1**4 - 4*Mh1**2*MHA**2))/(32.*cmath.pi*abs(Mh1)**3)',
(P.ta__minus__,P.ta__plus__):'((ca**2*Mh1**2*ytau**2 - 4*ca**2*MTA**2*ytau**2)*cmath.sqrt(Mh1**4 - 4*Mh1**2*MTA**2))/(16.*cmath.pi*abs(Mh1)**3)',
(P.t,P.t__tilde__):'((3*ca**2*Mh1**2*yt**2 - 12*ca**2*MT**2*yt**2)*cmath.sqrt(Mh1**4 - 4*Mh1**2*MT**2))/(16.*cmath.pi*abs(Mh1)**3)',
(P.W__minus__,P.W__plus__):'(((3*ca**2*ee**4*vev**2)/(4.*sw**4) + (ca**2*ee**4*Mh1**4*vev**2)/(16.*MW**4*sw**4) - (ca**2*ee**4*Mh1**2*vev**2)/(4.*MW**2*sw**4))*cmath.sqrt(Mh1**4 - 4*Mh1**2*MW**2))/(16.*cmath.pi*abs(Mh1)**3)',
(P.Z,P.Z):'(((9*ca**2*ee**4*vev**2)/2. + (3*ca**2*ee**4*Mh1**4*vev**2)/(8.*MZ**4) - (3*ca**2*ee**4*Mh1**2*vev**2)/(2.*MZ**2) + (3*ca**2*cw**4*ee**4*vev**2)/(4.*sw**4) + (ca**2*cw**4*ee**4*Mh1**4*vev**2)/(16.*MZ**4*sw**4) - (ca**2*cw**4*ee**4*Mh1**2*vev**2)/(4.*MZ**2*sw**4) + (3*ca**2*cw**2*ee**4*vev**2)/sw**2 + (ca**2*cw**2*ee**4*Mh1**4*vev**2)/(4.*MZ**4*sw**2) - (ca**2*cw**2*ee**4*Mh1**2*vev**2)/(MZ**2*sw**2) + (3*ca**2*ee**4*sw**2*vev**2)/cw**2 + (ca**2*ee**4*Mh1**4*sw**2*vev**2)/(4.*cw**2*MZ**4) - (ca**2*ee**4*Mh1**2*sw**2*vev**2)/(cw**2*MZ**2) + (3*ca**2*ee**4*sw**4*vev**2)/(4.*cw**4) + (ca**2*ee**4*Mh1**4*sw**4*vev**2)/(16.*cw**4*MZ**4) - (ca**2*ee**4*Mh1**2*sw**4*vev**2)/(4.*cw**4*MZ**2))*cmath.sqrt(Mh1**4 - 4*Mh1**2*MZ**2))/(32.*cmath.pi*abs(Mh1)**3)'})
Decay_h2 = Decay(name = 'Decay_h2',
particle = P.h2,
partial_widths = {(P.b,P.b__tilde__):'((-12*MB**2*sa**2*yb**2 + 3*Mh2**2*sa**2*yb**2)*cmath.sqrt(-4*MB**2*Mh2**2 + Mh2**4))/(16.*cmath.pi*abs(Mh2)**3)',
(P.h1,P.h1):'((ca**4*delta2**2*sa**2*vev**2 - 3*ca**4*delta2*lamd*sa**2*vev**2 + (9*ca**4*lamd**2*sa**2*vev**2)/4. - ca**2*delta2**2*sa**4*vev**2 + (3*ca**2*delta2*lamd*sa**4*vev**2)/2. + (delta2**2*sa**6*vev**2)/4. + ca**5*delta2**2*sa*vev*vs - (3*ca**5*delta2*lamd*sa*vev*vs)/2. + 3*ca**3*d2*delta2*sa**3*vev*vs - (5*ca**3*delta2**2*sa**3*vev*vs)/2. - (9*ca**3*d2*lamd*sa**3*vev*vs)/2. + 3*ca**3*delta2*lamd*sa**3*vev*vs - (3*ca*d2*delta2*sa**5*vev*vs)/2. + ca*delta2**2*sa**5*vev*vs + (ca**6*delta2**2*vs**2)/4. + (3*ca**4*d2*delta2*sa**2*vs**2)/2. - ca**4*delta2**2*sa**2*vs**2 + (9*ca**2*d2**2*sa**4*vs**2)/4. - 3*ca**2*d2*delta2*sa**4*vs**2 + ca**2*delta2**2*sa**4*vs**2)*cmath.sqrt(-4*Mh1**2*Mh2**2 + Mh2**4))/(32.*cmath.pi*abs(Mh2)**3)',
(P.HA,P.HA):'(((delta2**2*sa**2*vev**2)/4. - (ca*d2*delta2*sa*vev*vs)/2. + (ca**2*d2**2*vs**2)/4.)*cmath.sqrt(Mh2**4 - 4*Mh2**2*MHA**2))/(32.*cmath.pi*abs(Mh2)**3)',
(P.ta__minus__,P.ta__plus__):'((Mh2**2*sa**2*ytau**2 - 4*MTA**2*sa**2*ytau**2)*cmath.sqrt(Mh2**4 - 4*Mh2**2*MTA**2))/(16.*cmath.pi*abs(Mh2)**3)',
(P.t,P.t__tilde__):'((3*Mh2**2*sa**2*yt**2 - 12*MT**2*sa**2*yt**2)*cmath.sqrt(Mh2**4 - 4*Mh2**2*MT**2))/(16.*cmath.pi*abs(Mh2)**3)',
(P.W__minus__,P.W__plus__):'(((3*ee**4*sa**2*vev**2)/(4.*sw**4) + (ee**4*Mh2**4*sa**2*vev**2)/(16.*MW**4*sw**4) - (ee**4*Mh2**2*sa**2*vev**2)/(4.*MW**2*sw**4))*cmath.sqrt(Mh2**4 - 4*Mh2**2*MW**2))/(16.*cmath.pi*abs(Mh2)**3)',
(P.Z,P.Z):'(((9*ee**4*sa**2*vev**2)/2. + (3*ee**4*Mh2**4*sa**2*vev**2)/(8.*MZ**4) - (3*ee**4*Mh2**2*sa**2*vev**2)/(2.*MZ**2) + (3*cw**4*ee**4*sa**2*vev**2)/(4.*sw**4) + (cw**4*ee**4*Mh2**4*sa**2*vev**2)/(16.*MZ**4*sw**4) - (cw**4*ee**4*Mh2**2*sa**2*vev**2)/(4.*MZ**2*sw**4) + (3*cw**2*ee**4*sa**2*vev**2)/sw**2 + (cw**2*ee**4*Mh2**4*sa**2*vev**2)/(4.*MZ**4*sw**2) - (cw**2*ee**4*Mh2**2*sa**2*vev**2)/(MZ**2*sw**2) + (3*ee**4*sa**2*sw**2*vev**2)/cw**2 + (ee**4*Mh2**4*sa**2*sw**2*vev**2)/(4.*cw**2*MZ**4) - (ee**4*Mh2**2*sa**2*sw**2*vev**2)/(cw**2*MZ**2) + (3*ee**4*sa**2*sw**4*vev**2)/(4.*cw**4) + (ee**4*Mh2**4*sa**2*sw**4*vev**2)/(16.*cw**4*MZ**4) - (ee**4*Mh2**2*sa**2*sw**4*vev**2)/(4.*cw**4*MZ**2))*cmath.sqrt(Mh2**4 - 4*Mh2**2*MZ**2))/(32.*cmath.pi*abs(Mh2)**3)'})
Decay_t = Decay(name = 'Decay_t',
particle = P.t,
partial_widths = {(P.W__plus__,P.b):'(((3*ee**2*MB**2)/(2.*sw**2) + (3*ee**2*MT**2)/(2.*sw**2) + (3*ee**2*MB**4)/(2.*MW**2*sw**2) - (3*ee**2*MB**2*MT**2)/(MW**2*sw**2) + (3*ee**2*MT**4)/(2.*MW**2*sw**2) - (3*ee**2*MW**2)/sw**2)*cmath.sqrt(MB**4 - 2*MB**2*MT**2 + MT**4 - 2*MB**2*MW**2 - 2*MT**2*MW**2 + MW**4))/(96.*cmath.pi*abs(MT)**3)'})
Decay_ta__minus__ = Decay(name = 'Decay_ta__minus__',
particle = P.ta__minus__,
partial_widths = {(P.W__minus__,P.vt):'((MTA**2 - MW**2)*((ee**2*MTA**2)/(2.*sw**2) + (ee**2*MTA**4)/(2.*MW**2*sw**2) - (ee**2*MW**2)/sw**2))/(32.*cmath.pi*abs(MTA)**3)'})
Decay_W__plus__ = Decay(name = 'Decay_W__plus__',
particle = P.W__plus__,
partial_widths = {(P.c,P.s__tilde__):'(ee**2*MW**4)/(16.*cmath.pi*sw**2*abs(MW)**3)',
(P.t,P.b__tilde__):'(((-3*ee**2*MB**2)/(2.*sw**2) - (3*ee**2*MT**2)/(2.*sw**2) - (3*ee**2*MB**4)/(2.*MW**2*sw**2) + (3*ee**2*MB**2*MT**2)/(MW**2*sw**2) - (3*ee**2*MT**4)/(2.*MW**2*sw**2) + (3*ee**2*MW**2)/sw**2)*cmath.sqrt(MB**4 - 2*MB**2*MT**2 + MT**4 - 2*MB**2*MW**2 - 2*MT**2*MW**2 + MW**4))/(48.*cmath.pi*abs(MW)**3)',
(P.u,P.d__tilde__):'(ee**2*MW**4)/(16.*cmath.pi*sw**2*abs(MW)**3)',
(P.ve,P.e__plus__):'(ee**2*MW**4)/(48.*cmath.pi*sw**2*abs(MW)**3)',
(P.vm,P.mu__plus__):'(ee**2*MW**4)/(48.*cmath.pi*sw**2*abs(MW)**3)',
(P.vt,P.ta__plus__):'((-MTA**2 + MW**2)*(-(ee**2*MTA**2)/(2.*sw**2) - (ee**2*MTA**4)/(2.*MW**2*sw**2) + (ee**2*MW**2)/sw**2))/(48.*cmath.pi*abs(MW)**3)'})
Decay_Z = Decay(name = 'Decay_Z',
particle = P.Z,
partial_widths = {(P.b,P.b__tilde__):'((-7*ee**2*MB**2 + ee**2*MZ**2 - (3*cw**2*ee**2*MB**2)/(2.*sw**2) + (3*cw**2*ee**2*MZ**2)/(2.*sw**2) - (17*ee**2*MB**2*sw**2)/(6.*cw**2) + (5*ee**2*MZ**2*sw**2)/(6.*cw**2))*cmath.sqrt(-4*MB**2*MZ**2 + MZ**4))/(48.*cmath.pi*abs(MZ)**3)',
(P.c,P.c__tilde__):'(MZ**2*(-(ee**2*MZ**2) + (3*cw**2*ee**2*MZ**2)/(2.*sw**2) + (17*ee**2*MZ**2*sw**2)/(6.*cw**2)))/(48.*cmath.pi*abs(MZ)**3)',
(P.d,P.d__tilde__):'(MZ**2*(ee**2*MZ**2 + (3*cw**2*ee**2*MZ**2)/(2.*sw**2) + (5*ee**2*MZ**2*sw**2)/(6.*cw**2)))/(48.*cmath.pi*abs(MZ)**3)',
(P.e__minus__,P.e__plus__):'(MZ**2*(-(ee**2*MZ**2) + (cw**2*ee**2*MZ**2)/(2.*sw**2) + (5*ee**2*MZ**2*sw**2)/(2.*cw**2)))/(48.*cmath.pi*abs(MZ)**3)',
(P.mu__minus__,P.mu__plus__):'(MZ**2*(-(ee**2*MZ**2) + (cw**2*ee**2*MZ**2)/(2.*sw**2) + (5*ee**2*MZ**2*sw**2)/(2.*cw**2)))/(48.*cmath.pi*abs(MZ)**3)',
(P.s,P.s__tilde__):'(MZ**2*(ee**2*MZ**2 + (3*cw**2*ee**2*MZ**2)/(2.*sw**2) + (5*ee**2*MZ**2*sw**2)/(6.*cw**2)))/(48.*cmath.pi*abs(MZ)**3)',
(P.ta__minus__,P.ta__plus__):'((-5*ee**2*MTA**2 - ee**2*MZ**2 - (cw**2*ee**2*MTA**2)/(2.*sw**2) + (cw**2*ee**2*MZ**2)/(2.*sw**2) + (7*ee**2*MTA**2*sw**2)/(2.*cw**2) + (5*ee**2*MZ**2*sw**2)/(2.*cw**2))*cmath.sqrt(-4*MTA**2*MZ**2 + MZ**4))/(48.*cmath.pi*abs(MZ)**3)',
(P.t,P.t__tilde__):'((-11*ee**2*MT**2 - ee**2*MZ**2 - (3*cw**2*ee**2*MT**2)/(2.*sw**2) + (3*cw**2*ee**2*MZ**2)/(2.*sw**2) + (7*ee**2*MT**2*sw**2)/(6.*cw**2) + (17*ee**2*MZ**2*sw**2)/(6.*cw**2))*cmath.sqrt(-4*MT**2*MZ**2 + MZ**4))/(48.*cmath.pi*abs(MZ)**3)',
(P.u,P.u__tilde__):'(MZ**2*(-(ee**2*MZ**2) + (3*cw**2*ee**2*MZ**2)/(2.*sw**2) + (17*ee**2*MZ**2*sw**2)/(6.*cw**2)))/(48.*cmath.pi*abs(MZ)**3)',
(P.ve,P.ve__tilde__):'(MZ**2*(ee**2*MZ**2 + (cw**2*ee**2*MZ**2)/(2.*sw**2) + (ee**2*MZ**2*sw**2)/(2.*cw**2)))/(48.*cmath.pi*abs(MZ)**3)',
(P.vm,P.vm__tilde__):'(MZ**2*(ee**2*MZ**2 + (cw**2*ee**2*MZ**2)/(2.*sw**2) + (ee**2*MZ**2*sw**2)/(2.*cw**2)))/(48.*cmath.pi*abs(MZ)**3)',
(P.vt,P.vt__tilde__):'(MZ**2*(ee**2*MZ**2 + (cw**2*ee**2*MZ**2)/(2.*sw**2) + (ee**2*MZ**2*sw**2)/(2.*cw**2)))/(48.*cmath.pi*abs(MZ)**3)',
(P.W__minus__,P.W__plus__):'(((-12*cw**2*ee**2*MW**2)/sw**2 - (17*cw**2*ee**2*MZ**2)/sw**2 + (4*cw**2*ee**2*MZ**4)/(MW**2*sw**2) + (cw**2*ee**2*MZ**6)/(4.*MW**4*sw**2))*cmath.sqrt(-4*MW**2*MZ**2 + MZ**4))/(48.*cmath.pi*abs(MZ)**3)'})
| 157.731343 | 805 | 0.449186 | 2,339 | 10,568 | 1.944421 | 0.042326 | 0.050792 | 0.057168 | 0.048813 | 0.828056 | 0.784301 | 0.737907 | 0.645998 | 0.527485 | 0.439094 | 0 | 0.142027 | 0.169852 | 10,568 | 66 | 806 | 160.121212 | 0.376382 | 0.014478 | 0 | 0 | 0 | 0.692308 | 0.738905 | 0.651873 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.038462 | 0 | 0.038462 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
d7ec7674c836c5ea87171ba718df8c474cb9d60c | 111 | py | Python | qaml/exceptions.py | tchlux/qaml | 97501635fb8aadeb5f48b1b7fda10489c349147c | [
"MIT"
] | 2 | 2019-11-05T20:39:12.000Z | 2020-03-14T21:31:00.000Z | qaml/exceptions.py | tchlux/qaml | 97501635fb8aadeb5f48b1b7fda10489c349147c | [
"MIT"
] | null | null | null | qaml/exceptions.py | tchlux/qaml | 97501635fb8aadeb5f48b1b7fda10489c349147c | [
"MIT"
] | 1 | 2021-02-21T14:53:31.000Z | 2021-02-21T14:53:31.000Z | class AmbiguousTerm(Exception): pass
class UsageError(Exception): pass
class UnsolvableSystem(Exception): pass
| 27.75 | 39 | 0.837838 | 12 | 111 | 7.75 | 0.5 | 0.419355 | 0.387097 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.081081 | 111 | 3 | 40 | 37 | 0.911765 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 1 | 0 | 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 | 1 | 0 | 0 | 1 | 0 | 0 | 7 |
0bddb7c3e6c61e7171d634e60b4a75f462220291 | 21,677 | py | Python | similarity/SimTopicLists.py | Renata1995/Topic-Distance-and-Coherence | d567d5b3ef71ea5654f214aa3736add7f3ac94bc | [
"Apache-2.0"
] | 5 | 2018-08-25T07:16:31.000Z | 2020-11-12T00:36:15.000Z | similarity/SimTopicLists.py | Renata1995/Topic-Distance-and-Coherence | d567d5b3ef71ea5654f214aa3736add7f3ac94bc | [
"Apache-2.0"
] | 1 | 2018-09-24T16:17:47.000Z | 2018-09-24T16:17:47.000Z | similarity/SimTopicLists.py | Renata1995/Topic-Distance-and-Coherence | d567d5b3ef71ea5654f214aa3736add7f3ac94bc | [
"Apache-2.0"
] | 4 | 2018-05-07T07:52:10.000Z | 2020-11-12T00:36:18.000Z | from similarity import Similarity
class SimTopicLists:
"""
Compare similarities between topics in two topic lists
"""
def __init__(self):
self.sim = Similarity()
def bha_distance(self, t_list1, t_list2):
"""
Compare the Bhattacharyya Distance between each of two topics in two topic lists and store the results
in a 2D list
Example
t_list1 contains t1_0, t1_1, t1_2
t_list2 contains t2_0, t2_1, t2_2
distance list:
[[sim(t1_0,t2_0), sim(t1_0, t2_1), sim(t1_0, t2_2)],
[sim(t1_1,t2_0), sim(t1_1, t2_1), sim(t1_1, t2_2)],
[sim(t1_2,t2_0), sim(t1_2, t2_1), sim(t1_2, t2_2)]]
The following distance methods have similar outputs
:return: a 2D list stores the results
"""
distance_list = []
for value1 in t_list1:
sub_list = [self.sim.bha_distance(value1, value2) for value2 in t_list2]
distance_list.append(sub_list)
return distance_list
def kl_divergence(self, t_list1, t_list2):
"""
Compare the KL Divergence between each of two topics in two topic lists and store the results
in a 2D list
:return: a 2D list stores the results
"""
distance_list = []
for value1 in t_list1:
sub_list = [self.sim.kl_divergence(value1, value2) for value2 in t_list2]
distance_list.append(sub_list)
return distance_list
def cos_distance(self, t_list1, t_list2):
"""
Compare the cosine distance between each of two topics in two topic lists and store the results
in a 2D list
:return: a 2D list stores the results
"""
distance_list = []
for value1 in t_list1:
sub_list = [self.sim.cosine_distance(value1, value2) for value2 in t_list2]
distance_list.append(sub_list)
return distance_list
def kendall(self, t_list1, t_list2):
"""
Compare the kendall tau correlation between each of two topics in two topic lists and store the results
in a 2D list
:return: a 2D list stores the results
"""
distance_list = []
for index1, value1 in enumerate(t_list1):
sub_list = []
for index2, value2 in enumerate(t_list2):
result = self.sim.kendall_tau(value2, value1)
sub_list.append(result)
distance_list.append(sub_list)
return distance_list
def dcg(self, t_list1, t_list2, word_limit=0):
"""
Compare the difference between dcg values of each two topics in two topic lists and store the results
in a 2D list
:return: a 2D list stores the results
"""
distance_list = []
if word_limit == 0:
word_limit = len(t_list1)
for value1 in t_list1:
sub_list = [self.sim.dcg_difference(value1, value2, word_limit) for value2 in t_list2]
distance_list.append(sub_list)
return distance_list
def jaccard(self, t_list1, t_list2, threshold):
"""
Compare the jaccard distance between each of two in two topic lists and store the results
in a 2D list
:return: a 2D list stores the
"""
distance_list = []
for value1 in t_list1:
sub_list = [self.sim.jaccard_distance(value1, value2, threshold) for value2 in t_list2]
distance_list.append(sub_list)
return distance_list
def write_distance(self, distance_list, ofile):
"""
Write distance values between two topics in a topic list
Assume one topic list t_list1 contains t0, t1, t2
:param distance_list: generated by one of similarity/distance methods above
i.e.
[[sim(t0,t0), sim(t0,t1), sim(t0,t2)],
[sim(t1,t0), sim(t1, t1), sim(t1,t2)],
[sim(t2,t0), sim(t2,t1), sim(t2,t2)]]
:param ofile: the output file
:return: a list of similarity/distance values
i.e.
[sim(t0,t1), sim(t0,t2), sim(t1,t2)]
"""
for i1, sublist in enumerate(distance_list):
for i2, value in enumerate(sublist[i1 + 1:]):
ofile.write(str(value) + "\n")
def read_distance_list(self, ifile):
"""
Read a distance list from an output file
:param ifile: the input file
:return: a list of similarity/distance values
"""
dist_list = []
for line in ifile:
dist_list.append(float(line))
return dist_list
def give_dist_names(self, dist_list, topics_count, corpus_type):
"""
Turn a distance list into a list of (topic_pair_name,similarity value) tuples
This new list will be used in the calculation of kendalltau correlations among different similarity measures.
:param dist_list: a distance list generated by a tfidf 3-topic LDA
i.e.
Suppose a topic list t_list1 contains t0, t1, t2
and [sim(t0,t1), sim(t0,t2), sim(t1,t2)] corresponds to
[0.3, 0.2, 0.4]
:param topics_count: the number of topics in the topic list that related with the distance list
:param corpus_type: the corpus type of the LDA that generates this topic list
:return:
[(tfidf_t3t0_t1:0.3), (tfidf_t3t0_t2:0.2), (tfidf_t3t1_t2:0.4))
"""
dist_names = []
index = 0
for t1 in range(topics_count):
for t2 in range(t1 + 1, topics_count):
dist_names.append(
(corpus_type + "_t" + str(topics_count) + "t" + str(t1) + "_t" + str(t2), dist_list[index]))
index += 1
return dist_names
# Different display methods
def find_smallest(self, num_list):
if num_list[0] < num_list[1]:
row_min, row_min2, i1, i2 = num_list[0], num_list[1], 0, 1
else:
row_min, row_min2, i1, i2 = num_list[1], num_list[0], 1, 0
for index, value in enumerate(num_list):
if value < row_min:
row_min2, i2 = row_min, i1
row_min, i1 = value, index
elif (row_min < value < row_min2) or (row_min == value and i1 != index):
row_min2, i2 = value, index
return i1, i2
def find_smallest_self(self, num_list):
if num_list[0] < num_list[1]:
row_min, row_min2, i1, i2 = num_list[0], num_list[1], 0, 1
else:
row_min, row_min2, i1, i2 = num_list[1], num_list[0], 1, 0
for index, value in enumerate(num_list):
if value < row_min:
row_min2, i2 = row_min, i1
row_min, i1 = value, index
elif (row_min < value < row_min2) or (row_min == value and i1 != index):
row_min2, i2 = value, index
return i1, i2
def find_largest_two(self, num_list):
if num_list[0] > num_list[1]:
row_max, row_max2, i1, i2 = num_list[0], num_list[1], 0, 1
else:
row_max, row_max2, i1, i2 = num_list[1], num_list[0], 1, 0
for index, value in enumerate(num_list):
if value > row_max:
row_max2, i2 = row_max, i1
row_max, i1 = value, index
elif (row_max > value > row_max2) or (row_max == value and i1 != index):
row_max2, i2 = value, index
return i1, i2
def find_largest_one(self, num_list):
lmax = num_list[0]
i = 0
for index, value in enumerate(num_list):
if value > lmax:
lmax = value
i = index
return i
def rank(self, nlist):
# rank = 'a b c d e f g h i j k l m n o p q r s t u v w x y z'.split()
rank = list(range(0, len(nlist)))
sorted_list = list(sorted(nlist))
ranklist = {}
for index, num in enumerate(sorted_list):
ranklist[num] = rank[index]
newlist = []
for index, num in enumerate(nlist):
newlist.append(str(ranklist[num]) + " " + str('{0:.6f}'.format(num)))
return newlist
def show_results_rank(self, distance_list, file):
"""
Show the results from the comp_topic_lists method
:param distance_list: a 2D list of data
"""
width = 14
file.write("\ntopic List 1 is vertical and topic List 2 is horizontal\n")
# calculate smallest results
# show row labels
file.write("<style>table, th, td {border: 1px solid black;}</style>")
file.write("<table><thead><tr><th></th>")
for value in range(len(distance_list[0])):
file.write("<th> topic" + str(value) + "</th>")
file.write("</tr></thead><tbody>")
colordiff = int(16777215 / (len(distance_list[0])))
for index, sublist in enumerate(distance_list):
# show column labels
file.write("<tr><td> topic" + str(index) + "</td>")
# rank
sublist = self.rank(sublist)
for sub_i, value in enumerate(sublist):
ranknum = float(value.split()[0])
colornum = int(16777215 - ranknum * colordiff)
color = format(colornum, "06X")
file.write("<td><span style='background-color: #" + str(color) + "'>")
file.write(value.split()[1])
file.write("</span></td>")
file.write("</tr>")
file.write("</tbody></table>")
def show_results_rank_bw(self, distance_list, file):
"""
Show the results from the comp_topic_lists method
:param distance_list: a 2D list of data
"""
width = 14
file.write("\ntopic List 1 is vertical and topic List 2 is horizontal\n")
# calculate smallest results
# show row labels
file.write("<style>table, th, td {border: 1px solid black;}</style>")
file.write("<table><thead><tr><th></th>")
for value in range(len(distance_list[0])):
file.write("<th> topic" + str(value) + "</th>")
file.write("</tr></thead><tbody>")
colordiff = int(255 / (len(distance_list[0])))
for index, sublist in enumerate(distance_list):
# show column labels
file.write("<tr><td> topic" + str(index) + "</td>")
# rank
sublist = self.rank(sublist)
for sub_i, value in enumerate(sublist):
ranknum = int(value.split()[0])
colornum = str(255 - ranknum * colordiff)
rgbstr = "rgb(" + colornum + "," + colornum + "," + colornum + ")"
file.write("<td><span style='background-color: " + rgbstr + "'>")
file.write(value.split()[1])
file.write("</span></td>")
file.write("</tr>")
file.write("</tbody></table>")
def show_results_rank_reverse(self, distance_list, file):
"""
Show the results from the comp_topic_lists method
:param distance_list: a 2D list of data
"""
width = 14
file.write("\ntopic List 1 is vertical and topic List 2 is horizontal\n")
# calculate smallest results
# show row labels
file.write("<style>table, th, td {border: 1px solid black;}</style>")
file.write("<table><thead><tr><th></th>")
for value in range(len(distance_list[0])):
file.write("<th> topic" + str(value) + "</th>")
file.write("</tr></thead><tbody>")
colordiff = int(255.0 / (len(distance_list[0])))
for index, sublist in enumerate(distance_list):
# show column labels
file.write("<tr><td> topic" + str(index) + "</td>")
# rank
sublist = self.rank(sublist)
for sub_i, value in enumerate(sublist):
ranknum = int(value.split()[0])
colornum = str(ranknum * colordiff)
rgbstr = "rgb(" + colornum + "," + colornum + "," + colornum + ")"
file.write("<td><span style='background-color: " + rgbstr + "'>")
file.write(value.split()[1])
file.write("</span></td>")
file.write("</tr>")
file.write("</tbody></table>")
def show_results_value(self, distance_list, file):
"""
Show the results from the comp_topic_lists method
:param distance_list: a 2D list of data
"""
width = 14
file.write("\ntopic List 1 is vertical and topic List 2 is horizontal\n")
# calculate smallest results
# show row labels
file.write("<style>table, th, td {border: 1px solid black;}</style>")
file.write("<table><thead><tr><th></th>")
for value in range(len(distance_list[0])):
file.write("<th> topic" + str(value) + "</th>")
file.write("</tr></thead><tbody>")
max_value = max([max(v) for v in distance_list])
min_value = min([min(v) for v in distance_list])
for index, sublist in enumerate(distance_list):
# show column labels
file.write("<tr><td> topic" + str(index) + "</td>")
for sub_i, value in enumerate(sublist):
percent = (value - min_value) / (max_value - min_value)
colornum = str(int(255 * (1 - percent)))
rgbstr = "rgb(" + colornum + "," + colornum + "," + colornum + ")"
file.write("<td><span style='background-color: " + rgbstr + "'>")
value = '{0:.6f}'.format(value)
file.write(str(value))
file.write("</span></td>")
file.write("</tr>")
file.write("</tbody></table>")
def show_results_value_reverse(self, distance_list, file):
"""
Show the results from the comp_topic_lists method
:param distance_list: a 2D list of data
"""
width = 14
file.write("\ntopic List 1 is vertical and topic List 2 is horizontal\n")
# calculate smallest results
# show row labels
file.write("<style>table, th, td {border: 1px solid black;}</style>")
file.write("<table><thead><tr><th></th>")
for value in range(len(distance_list[0])):
file.write("<th> topic" + str(value) + "</th>")
file.write("</tr></thead><tbody>")
max_list = []
for sub in distance_list:
max_list.append(max([v for v in sub if round(v, 6) != 1.000000]))
max_value = max(max_list)
min_value = min([min(v) for v in distance_list])
for index, sublist in enumerate(distance_list):
# show column labels
file.write("<tr><td> topic" + str(index) + "</td>")
for sub_i, value in enumerate(sublist):
if round(value, 6) == 1.000000:
colornum = "255"
else:
percent = (value - min_value) / (max_value - min_value)
colornum = str(int(255 * percent))
rgbstr = "rgb(" + colornum + "," + colornum + "," + colornum + ")"
file.write("<td><span style='background-color: " + rgbstr + "'>")
value = '{0:.6f}'.format(value)
file.write(str(value))
file.write("</span></td>")
file.write("</tr>")
file.write("</tbody></table>")
def show_results(self, distance_list, file):
"""
Show the results from the comp_topic_lists method
:param distance_list: a 2D list of data
"""
width = 14
file.write("\ntopic List 1 is vertical and topic List 2 is horizontal\n")
# calculate smallest results
# show row labels
file.write("{:{w}}".format("T_List1/T_List2", w=width))
for value in range(len(distance_list[0])):
file.write('{:{w}}'.format(" topic" + str(value), w=width))
file.write("\n")
for index, sublist in enumerate(distance_list):
# show column labels
file.write('{:{w}}'.format(" topic" + str(index), w=width))
# find row and col max
rmax = self.find_largest_one(sublist)
cmax_list = []
for i in range(len(sublist)):
col_list = [v[i] for v in distance_list]
cmax_list.append(self.find_largest_one(col_list))
for sub_i, value in enumerate(sublist):
print value
value = '{0:.6f}'.format(value)
if sub_i == rmax and index != cmax_list[sub_i]:
file.write('{:{w}}'.format("| **" + value, w=width))
elif sub_i != rmax and index == cmax_list[sub_i]:
file.write('{:{w}}'.format("| ++" + value, w=width))
elif sub_i == rmax and index == cmax_list[sub_i]:
file.write('{:{w}}'.format("| *+" + value, w=width))
else:
file.write('{:{w}}'.format("| " + value, w=width))
file.write("\n" + "-" * width * (len(distance_list[0]) + 1) + "\n")
def show_results_self(self, distance_list, file):
"""
Show the results from the comp_topic_lists method
:param distance_list: a 2D list of data
"""
width = 14
file.write("\ntopic List 1 is vertical and topic List 2 is horizontal\n")
# calculate smallest results
# show row labels
file.write("{:{w}}".format("T_List1/T_List2", w=width))
for value in range(len(distance_list[0])):
file.write('{:{w}}'.format(" topic" + str(value), w=width))
file.write("\n")
for index, sublist in enumerate(distance_list):
# show column labels
file.write('{:{w}}'.format(" topic" + str(index), w=width))
# find row and col max
rmax = self.find_largest_one(sublist)
for sub_i, value in enumerate(sublist):
value = '{0:.6f}'.format(value)
if sub_i == rmax:
file.write('{:{w}}'.format("| **" + value, w=width))
else:
file.write('{:{w}}'.format("| " + value, w=width))
file.write("\n" + "-" * width * (len(distance_list[0]) + 1) + "\n")
def show_results_2min_self(self, distance_list, file):
"""
Show the results from the comp_topic_lists method
:param distance_list: a 2D list of data
"""
width = 14
file.write("\ntopic List 1 is vertical and topic List 2 is horizontal\n")
# show row labels
file.write("{:{w}}".format("T_List1/T_List2", w=width))
for value in range(len(distance_list[0])):
file.write('{:{w}}'.format(" topic" + str(value), w=width))
file.write("\n")
for index, sublist in enumerate(distance_list):
# show column labels
file.write('{:{w}}'.format(" topic" + str(index), w=width))
# show data in each cell
min_1, min_2 = self.find_smallest(sublist)
for sub_i, value in enumerate(sublist):
value = '{0:.6f}'.format(value)
if sub_i == min_1:
file.write('{:{w}}'.format("|##" + value, w=width))
elif sub_i == min_2:
file.write('{:{w}}'.format("| #" + value, w=width))
else:
file.write('{:{w}}'.format("| " + value, w=width))
file.write("\n" + "-" * width * (len(distance_list[0]) + 1) + "\n")
def show_results_2max_self(self, distance_list, file):
"""
Show the results from the comp_topic_lists method
:param distance_list: a 2D list of data
"""
width = 14
file.write("\ntopic List 1 is vertical and topic List 2 is horizontal\n")
# show row labels
file.write("{:{w}}".format("T_List1/T_List2", w=width))
for value in range(len(distance_list[0])):
file.write('{:{w}}'.format(" topic" + str(value), w=width))
file.write("\n")
for index, sublist in enumerate(distance_list):
# show column labels
file.write('{:{w}}'.format(" topic" + str(index), w=width))
# show data in each cell
max_1, max_2 = self.find_largest_two(sublist)
for sub_i, value in enumerate(sublist):
value = '{0:.6f}'.format(value)
if sub_i == max_1:
file.write('{:{w}}'.format("| " + value, w=width))
elif sub_i == max_2:
file.write('{:{w}}'.format("| **" + value, w=width))
else:
file.write('{:{w}}'.format("| " + value, w=width))
file.write("\n" + "-" * width * (len(distance_list[0]) + 1) + "\n")
def write_distance(self, distance_list, ofile):
for i1, sublist in enumerate(distance_list):
for i2, value in enumerate(sublist[i1 + 1:]):
ofile.write(str(value) + "\n")
def read_distance_list(self, ifile):
dist_list = []
for line in ifile:
dist_list.append(float(line))
return dist_list
def read_distance_rank(self, dist_list, topics_count, corpus_type):
dist_rank = []
index = 0
for t1 in range(topics_count):
for t2 in range(t1+1, topics_count):
dist_rank.append((corpus_type+"_t"+str(topics_count)+ "t"+str(t1)+"_t"+str(t2), dist_list[index]))
index += 1
return dist_rank
| 38.434397 | 117 | 0.544125 | 2,834 | 21,677 | 4.026464 | 0.079746 | 0.071773 | 0.021032 | 0.033652 | 0.809482 | 0.792919 | 0.791605 | 0.769608 | 0.747962 | 0.731575 | 0 | 0.030222 | 0.325322 | 21,677 | 563 | 118 | 38.502664 | 0.750017 | 0.032338 | 0 | 0.679878 | 0 | 0 | 0.119675 | 0.015108 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.003049 | null | null | 0.003049 | 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 |
0be1ff6febe670da1e98763a37ce44337976deff | 294 | py | Python | cardinal/handlers/__init__.py | multiparty/cardinal | 912bae64e1317114faaf89456a978ee172fca7a0 | [
"MIT"
] | null | null | null | cardinal/handlers/__init__.py | multiparty/cardinal | 912bae64e1317114faaf89456a978ee172fca7a0 | [
"MIT"
] | null | null | null | cardinal/handlers/__init__.py | multiparty/cardinal | 912bae64e1317114faaf89456a978ee172fca7a0 | [
"MIT"
] | null | null | null | from cardinal.handlers.vm.ec2 import Ec2Handler
from cardinal.handlers.kube.eks import EksHandler
from cardinal.handlers.vm.gce import GceHandler
from cardinal.handlers.kube.gke import GkeHandler
from cardinal.handlers.vm.avm import AvmHandler
from cardinal.handlers.kube.aks import AksHandler
| 42 | 49 | 0.857143 | 42 | 294 | 6 | 0.428571 | 0.285714 | 0.47619 | 0.261905 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007407 | 0.081633 | 294 | 6 | 50 | 49 | 0.925926 | 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 |
0bf3b71a61703bec44d2504aa96238f63914d387 | 21,078 | py | Python | pypureclient/flashblade/FB_2_2/api/keytabs_api.py | Flav-STOR-WL/py-pure-client | 03b889c997d90380ac5d6380ca5d5432792d3e89 | [
"BSD-2-Clause"
] | 14 | 2018-12-07T18:30:27.000Z | 2022-02-22T09:12:33.000Z | pypureclient/flashblade/FB_2_2/api/keytabs_api.py | Flav-STOR-WL/py-pure-client | 03b889c997d90380ac5d6380ca5d5432792d3e89 | [
"BSD-2-Clause"
] | 28 | 2019-09-17T21:03:52.000Z | 2022-03-29T22:07:35.000Z | pypureclient/flashblade/FB_2_2/api/keytabs_api.py | Flav-STOR-WL/py-pure-client | 03b889c997d90380ac5d6380ca5d5432792d3e89 | [
"BSD-2-Clause"
] | 15 | 2020-06-11T15:50:08.000Z | 2022-03-21T09:27:25.000Z | # coding: utf-8
"""
FlashBlade REST API
A lightweight client for FlashBlade REST API 2.2, developed by Pure Storage, Inc. (http://www.purestorage.com/).
OpenAPI spec version: 2.2
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import re
# python 2 and python 3 compatibility library
import six
from typing import List, Optional
from .. import models
class KeytabsApi(object):
def __init__(self, api_client):
self.api_client = api_client
def api22_keytabs_delete_with_http_info(
self,
ids=None, # type: List[str]
names=None, # type: List[str]
async_req=False, # type: bool
_return_http_data_only=False, # type: bool
_preload_content=True, # type: bool
_request_timeout=None, # type: Optional[int]
):
# type: (...) -> None
"""DELETE keytabs
Delete a Kerberos keytab file.
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api22_keytabs_delete_with_http_info(async_req=True)
>>> result = thread.get()
:param list[str] ids: A comma-separated list of resource IDs. If after filtering, there is not at least one resource that matches each of the elements of `ids`, then an error is returned. This cannot be provided together with the `name` or `names` query parameters.
:param list[str] names: A comma-separated list of resource names. If there is not at least one resource that matches each of the elements of `names`, then an error is returned.
:param bool async_req: Request runs in separate thread and method returns multiprocessing.pool.ApplyResult.
:param bool _return_http_data_only: Returns only data field.
:param bool _preload_content: Response is converted into objects.
:param int _request_timeout: Total request timeout in seconds.
It can also be a tuple of (connection time, read time) timeouts.
:return: None
If the method is called asynchronously,
returns the request thread.
"""
if ids is not None:
if not isinstance(ids, list):
ids = [ids]
if names is not None:
if not isinstance(names, list):
names = [names]
params = {k: v for k, v in six.iteritems(locals()) if v is not None}
# Convert the filter into a string
if params.get('filter'):
params['filter'] = str(params['filter'])
if params.get('sort'):
params['sort'] = [str(_x) for _x in params['sort']]
collection_formats = {}
path_params = {}
query_params = []
if 'ids' in params:
query_params.append(('ids', params['ids']))
collection_formats['ids'] = 'csv'
if 'names' in params:
query_params.append(('names', params['names']))
collection_formats['names'] = 'csv'
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json'])
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type(
['application/json'])
# Authentication setting
auth_settings = ['AuthorizationHeader']
return self.api_client.call_api(
'/api/2.2/keytabs', 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None,
auth_settings=auth_settings,
async_req=async_req,
_return_http_data_only=_return_http_data_only,
_preload_content=_preload_content,
_request_timeout=_request_timeout,
collection_formats=collection_formats,
)
def api22_keytabs_download_get_with_http_info(
self,
keytab_ids=None, # type: List[str]
keytab_names=None, # type: List[str]
async_req=False, # type: bool
_return_http_data_only=False, # type: bool
_preload_content=True, # type: bool
_request_timeout=None, # type: Optional[int]
):
# type: (...) -> models.KeytabFileResponse
"""GET keytabs/download
Download a Kerberos keytab file. The file can be downloaded in the native binary format or a base64 encoded format. If not specified, defaults to binary.
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api22_keytabs_download_get_with_http_info(async_req=True)
>>> result = thread.get()
:param list[str] keytab_ids: A comma-separated list of keytab IDs. If after filtering, there is not at least one resource that matches each of the elements, then an error is returned. This cannot be provided together with the `keytab_names` query parameter.
:param list[str] keytab_names: A comma-separated list of keytab names. If there is not at least one resource that matches each of the elements, then an error is returned. This cannot be provided together with `keytab_ids` query parameter.
:param bool async_req: Request runs in separate thread and method returns multiprocessing.pool.ApplyResult.
:param bool _return_http_data_only: Returns only data field.
:param bool _preload_content: Response is converted into objects.
:param int _request_timeout: Total request timeout in seconds.
It can also be a tuple of (connection time, read time) timeouts.
:return: KeytabFileResponse
If the method is called asynchronously,
returns the request thread.
"""
if keytab_ids is not None:
if not isinstance(keytab_ids, list):
keytab_ids = [keytab_ids]
if keytab_names is not None:
if not isinstance(keytab_names, list):
keytab_names = [keytab_names]
params = {k: v for k, v in six.iteritems(locals()) if v is not None}
# Convert the filter into a string
if params.get('filter'):
params['filter'] = str(params['filter'])
if params.get('sort'):
params['sort'] = [str(_x) for _x in params['sort']]
collection_formats = {}
path_params = {}
query_params = []
if 'keytab_ids' in params:
query_params.append(('keytab_ids', params['keytab_ids']))
collection_formats['keytab_ids'] = 'csv'
if 'keytab_names' in params:
query_params.append(('keytab_names', params['keytab_names']))
collection_formats['keytab_names'] = 'csv'
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/octet-stream', 'text/plain'])
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type(
['application/json'])
# Authentication setting
auth_settings = ['AuthorizationHeader']
return self.api_client.call_api(
'/api/2.2/keytabs/download', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='KeytabFileResponse',
auth_settings=auth_settings,
async_req=async_req,
_return_http_data_only=_return_http_data_only,
_preload_content=_preload_content,
_request_timeout=_request_timeout,
collection_formats=collection_formats,
)
def api22_keytabs_get_with_http_info(
self,
continuation_token=None, # type: str
filter=None, # type: str
ids=None, # type: List[str]
limit=None, # type: int
names=None, # type: List[str]
offset=None, # type: int
sort=None, # type: List[str]
async_req=False, # type: bool
_return_http_data_only=False, # type: bool
_preload_content=True, # type: bool
_request_timeout=None, # type: Optional[int]
):
# type: (...) -> models.KeytabGetResponse
"""GET keytabs
List a Kerberos keytab file and its configuration information.
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api22_keytabs_get_with_http_info(async_req=True)
>>> result = thread.get()
:param str continuation_token: An opaque token used to iterate over a collection. The token to use on the next request is returned in the `continuation_token` field of the result.
:param str filter: Exclude resources that don't match the specified criteria.
:param list[str] ids: A comma-separated list of resource IDs. If after filtering, there is not at least one resource that matches each of the elements of `ids`, then an error is returned. This cannot be provided together with the `name` or `names` query parameters.
:param int limit: Limit the size of the response to the specified number of resources. A `limit` of `0` can be used to get the number of resources without getting all of the resources. It will be returned in the `total_item_count` field. If a client asks for a page size larger than the maximum number, the request is still valid. In that case the server just returns the maximum number of items, disregarding the client's page size request.
:param list[str] names: A comma-separated list of resource names. If there is not at least one resource that matches each of the elements of `names`, then an error is returned.
:param int offset: The offset of the first resource to return from a collection.
:param list[str] sort: Sort the response by the specified fields (in descending order if '-' is appended to the field name). NOTE: If you provide a sort you will not get a `continuation_token` in the response.
:param bool async_req: Request runs in separate thread and method returns multiprocessing.pool.ApplyResult.
:param bool _return_http_data_only: Returns only data field.
:param bool _preload_content: Response is converted into objects.
:param int _request_timeout: Total request timeout in seconds.
It can also be a tuple of (connection time, read time) timeouts.
:return: KeytabGetResponse
If the method is called asynchronously,
returns the request thread.
"""
if ids is not None:
if not isinstance(ids, list):
ids = [ids]
if names is not None:
if not isinstance(names, list):
names = [names]
if sort is not None:
if not isinstance(sort, list):
sort = [sort]
params = {k: v for k, v in six.iteritems(locals()) if v is not None}
# Convert the filter into a string
if params.get('filter'):
params['filter'] = str(params['filter'])
if params.get('sort'):
params['sort'] = [str(_x) for _x in params['sort']]
if 'limit' in params and params['limit'] < 1:
raise ValueError("Invalid value for parameter `limit` when calling `api22_keytabs_get`, must be a value greater than or equal to `1`")
if 'offset' in params and params['offset'] < 0:
raise ValueError("Invalid value for parameter `offset` when calling `api22_keytabs_get`, must be a value greater than or equal to `0`")
collection_formats = {}
path_params = {}
query_params = []
if 'continuation_token' in params:
query_params.append(('continuation_token', params['continuation_token']))
if 'filter' in params:
query_params.append(('filter', params['filter']))
if 'ids' in params:
query_params.append(('ids', params['ids']))
collection_formats['ids'] = 'csv'
if 'limit' in params:
query_params.append(('limit', params['limit']))
if 'names' in params:
query_params.append(('names', params['names']))
collection_formats['names'] = 'csv'
if 'offset' in params:
query_params.append(('offset', params['offset']))
if 'sort' in params:
query_params.append(('sort', params['sort']))
collection_formats['sort'] = 'csv'
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json'])
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type(
['application/json'])
# Authentication setting
auth_settings = ['AuthorizationHeader']
return self.api_client.call_api(
'/api/2.2/keytabs', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='KeytabGetResponse',
auth_settings=auth_settings,
async_req=async_req,
_return_http_data_only=_return_http_data_only,
_preload_content=_preload_content,
_request_timeout=_request_timeout,
collection_formats=collection_formats,
)
def api22_keytabs_post_with_http_info(
self,
keytab=None, # type: models.KeytabPost
name_prefixes=None, # type: str
async_req=False, # type: bool
_return_http_data_only=False, # type: bool
_preload_content=True, # type: bool
_request_timeout=None, # type: Optional[int]
):
# type: (...) -> models.KeytabResponse
"""POST keytabs
Import a Kerberos keytab file from a Key Distribution Center.
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api22_keytabs_post_with_http_info(keytab, async_req=True)
>>> result = thread.get()
:param KeytabPost keytab: (required)
:param str name_prefixes: The prefix to use for the names of all Kerberos keytab objects that are being created.
:param bool async_req: Request runs in separate thread and method returns multiprocessing.pool.ApplyResult.
:param bool _return_http_data_only: Returns only data field.
:param bool _preload_content: Response is converted into objects.
:param int _request_timeout: Total request timeout in seconds.
It can also be a tuple of (connection time, read time) timeouts.
:return: KeytabResponse
If the method is called asynchronously,
returns the request thread.
"""
params = {k: v for k, v in six.iteritems(locals()) if v is not None}
# Convert the filter into a string
if params.get('filter'):
params['filter'] = str(params['filter'])
if params.get('sort'):
params['sort'] = [str(_x) for _x in params['sort']]
# verify the required parameter 'keytab' is set
if keytab is None:
raise TypeError("Missing the required parameter `keytab` when calling `api22_keytabs_post`")
collection_formats = {}
path_params = {}
query_params = []
if 'name_prefixes' in params:
query_params.append(('name_prefixes', params['name_prefixes']))
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'keytab' in params:
body_params = params['keytab']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json'])
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type(
['application/json'])
# Authentication setting
auth_settings = ['AuthorizationHeader']
return self.api_client.call_api(
'/api/2.2/keytabs', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='KeytabResponse',
auth_settings=auth_settings,
async_req=async_req,
_return_http_data_only=_return_http_data_only,
_preload_content=_preload_content,
_request_timeout=_request_timeout,
collection_formats=collection_formats,
)
def api22_keytabs_upload_post_with_http_info(
self,
keytab_file=None, # type: models.ERRORUNKNOWN
name_prefixes=None, # type: str
async_req=False, # type: bool
_return_http_data_only=False, # type: bool
_preload_content=True, # type: bool
_request_timeout=None, # type: Optional[int]
):
# type: (...) -> models.KeytabFileResponse
"""POST keytabs/upload
Upload a Kerberos keytab file to the array. The file can be uploaded in the native binary format or a base64 encoded format. If not specified, defaults to binary. The procedure to upload a file may vary depending on the type of REST client.
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api22_keytabs_upload_post_with_http_info(keytab_file, async_req=True)
>>> result = thread.get()
:param ERRORUNKNOWN keytab_file: The keytab file to upload. (required)
:param str name_prefixes: The prefix to use for the names of all Kerberos keytab objects that are being created.
:param bool async_req: Request runs in separate thread and method returns multiprocessing.pool.ApplyResult.
:param bool _return_http_data_only: Returns only data field.
:param bool _preload_content: Response is converted into objects.
:param int _request_timeout: Total request timeout in seconds.
It can also be a tuple of (connection time, read time) timeouts.
:return: KeytabFileResponse
If the method is called asynchronously,
returns the request thread.
"""
params = {k: v for k, v in six.iteritems(locals()) if v is not None}
# Convert the filter into a string
if params.get('filter'):
params['filter'] = str(params['filter'])
if params.get('sort'):
params['sort'] = [str(_x) for _x in params['sort']]
# verify the required parameter 'keytab_file' is set
if keytab_file is None:
raise TypeError("Missing the required parameter `keytab_file` when calling `api22_keytabs_upload_post`")
collection_formats = {}
path_params = {}
query_params = []
if 'name_prefixes' in params:
query_params.append(('name_prefixes', params['name_prefixes']))
header_params = {}
form_params = []
local_var_files = {}
if 'keytab_file' in params:
form_params.append(('keytab_file', params['keytab_file']))
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/octet-stream', 'text/plain'])
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type(
['multipart/form-data'])
# Authentication setting
auth_settings = ['AuthorizationHeader']
return self.api_client.call_api(
'/api/2.2/keytabs/upload', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='KeytabFileResponse',
auth_settings=auth_settings,
async_req=async_req,
_return_http_data_only=_return_http_data_only,
_preload_content=_preload_content,
_request_timeout=_request_timeout,
collection_formats=collection_formats,
)
| 43.37037 | 449 | 0.631939 | 2,585 | 21,078 | 4.954739 | 0.107157 | 0.018738 | 0.030528 | 0.028107 | 0.80114 | 0.782948 | 0.756636 | 0.737352 | 0.737352 | 0.729076 | 0 | 0.003573 | 0.283044 | 21,078 | 485 | 450 | 43.459794 | 0.843965 | 0.400465 | 0 | 0.743945 | 0 | 0.00692 | 0.130365 | 0.010392 | 0 | 0 | 0 | 0 | 0 | 1 | 0.020761 | false | 0 | 0.017301 | 0 | 0.058824 | 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 |
0bf9af9211f1f07e5a2dbb47c749958fb6f75269 | 74,696 | py | Python | tests/test_with_single_game/test_data_player_data.py | a-luna/vigorish | 6cede5ced76c7d2c9ad0aacdbd2b18c2f1ee4ee6 | [
"MIT"
] | 2 | 2021-07-15T13:53:33.000Z | 2021-07-25T17:03:29.000Z | tests/test_with_single_game/test_data_player_data.py | a-luna/vigorish | 6cede5ced76c7d2c9ad0aacdbd2b18c2f1ee4ee6 | [
"MIT"
] | 650 | 2019-05-18T07:00:12.000Z | 2022-01-21T19:38:55.000Z | tests/test_with_single_game/test_data_player_data.py | a-luna/vigorish | 6cede5ced76c7d2c9ad0aacdbd2b18c2f1ee4ee6 | [
"MIT"
] | 2 | 2020-03-28T21:01:31.000Z | 2022-01-06T05:16:11.000Z | from vigorish.data.player_data import PlayerData
from vigorish.enums import DefensePosition
from .conftest import BBREF_GAME_ID
def test_bat_stats(vig_app):
bat_stats_for_career_dict = {
"all_player_stats_for_bat_order": False,
"all_player_stats_for_def_pos": False,
"all_stats_for_season": False,
"all_stats_for_stint": False,
"all_team_stats_for_bat_order": False,
"all_team_stats_for_def_pos": False,
"at_bats": 5,
"avg": 0.8,
"bases_on_balls": 0,
"bat_order_list": [2],
"bat_order_metrics": [{"bat_order": 2, "percent": 100.0, "total_games": 1}],
"bb_rate": 0.0,
"bbref_id": "troutmi01",
"career_stats_all_teams": False,
"career_stats_for_team": False,
"caught_stealing": 1,
"changed_teams_midseason": False,
"contact_rate": 1.0,
"def_position_list": [DefensePosition.CENTER_FIELD],
"def_position_metrics": [
{"def_pos": DefensePosition.CENTER_FIELD, "is_starter": True, "percent": 100.0, "total_games": 1}
],
"doubles": 1,
"gdp": 0,
"hit_by_pitch": 0,
"hits": 4,
"homeruns": 1,
"intentional_bb": 0,
"is_starter": False,
"iso": 0.8,
"k_rate": 0.0,
"mlb_id": 545361,
"obp": 0.8,
"opponent_team_id_bbref": None,
"ops": 2.4,
"percent_started": 1.0,
"percent_subbed": 0.0,
"plate_appearances": 5,
"player_team_id_bbref": None,
"rbis": 3,
"re24_bat": 2.9,
"runs_scored": 2,
"sac_fly": 0,
"sac_hit": 0,
"separate_player_stats_for_bat_order": False,
"separate_player_stats_for_def_pos": False,
"slg": 1.6,
"stint_number": None,
"stolen_bases": 0,
"strikeouts": 0,
"team_id_bbref": None,
"total_games": 1,
"total_games_started": 1,
"total_games_subbed": 0,
"total_pitches": 19,
"total_strikes": 11,
"triples": 0,
"wpa_bat": 0.14,
"wpa_bat_neg": -0.02,
"wpa_bat_pos": 0.17,
"year": None,
"bat_order": "2",
"def_position": "CF",
}
bat_stats_by_year_dict = {
"all_player_stats_for_bat_order": False,
"all_player_stats_for_def_pos": False,
"all_stats_for_season": False,
"all_stats_for_stint": False,
"all_team_stats_for_bat_order": False,
"all_team_stats_for_def_pos": False,
"at_bats": 5,
"avg": 0.8,
"bases_on_balls": 0,
"bat_order_list": [2],
"bat_order_metrics": [{"bat_order": 2, "percent": 100.0, "total_games": 1}],
"bb_rate": 0.0,
"bbref_id": "troutmi01",
"career_stats_all_teams": False,
"career_stats_for_team": False,
"caught_stealing": 1,
"changed_teams_midseason": False,
"contact_rate": 1.0,
"def_position_list": [DefensePosition.CENTER_FIELD],
"def_position_metrics": [
{"def_pos": DefensePosition.CENTER_FIELD, "is_starter": True, "percent": 100.0, "total_games": 1}
],
"doubles": 1,
"gdp": 0,
"hit_by_pitch": 0,
"hits": 4,
"homeruns": 1,
"intentional_bb": 0,
"is_starter": False,
"iso": 0.8,
"k_rate": 0.0,
"mlb_id": 545361,
"obp": 0.8,
"opponent_team_id_bbref": None,
"ops": 2.4,
"percent_started": 1.0,
"percent_subbed": 0.0,
"plate_appearances": 5,
"player_team_id_bbref": None,
"rbis": 3,
"re24_bat": 2.9,
"runs_scored": 2,
"sac_fly": 0,
"sac_hit": 0,
"separate_player_stats_for_bat_order": False,
"separate_player_stats_for_def_pos": False,
"slg": 1.6,
"stint_number": None,
"stolen_bases": 0,
"strikeouts": 0,
"team_id_bbref": None,
"total_games": 1,
"total_games_started": 1,
"total_games_subbed": 0,
"total_pitches": 19,
"total_strikes": 11,
"triples": 0,
"wpa_bat": 0.14,
"wpa_bat_neg": -0.02,
"wpa_bat_pos": 0.17,
"year": 2019,
"bat_order": "2",
"def_position": "CF",
}
bat_stats_by_team_dict = {
"all_player_stats_for_bat_order": False,
"all_player_stats_for_def_pos": False,
"all_stats_for_season": False,
"all_stats_for_stint": False,
"all_team_stats_for_bat_order": False,
"all_team_stats_for_def_pos": False,
"at_bats": 5,
"avg": 0.8,
"bases_on_balls": 0,
"bat_order_list": [2],
"bat_order_metrics": [{"bat_order": 2, "percent": 100.0, "total_games": 1}],
"bb_rate": 0.0,
"bbref_id": "troutmi01",
"career_stats_all_teams": False,
"career_stats_for_team": False,
"caught_stealing": 1,
"changed_teams_midseason": False,
"contact_rate": 1.0,
"def_position_list": [DefensePosition.CENTER_FIELD],
"def_position_metrics": [
{"def_pos": DefensePosition.CENTER_FIELD, "is_starter": True, "percent": 100.0, "total_games": 1}
],
"doubles": 1,
"gdp": 0,
"hit_by_pitch": 0,
"hits": 4,
"homeruns": 1,
"intentional_bb": 0,
"is_starter": False,
"iso": 0.8,
"k_rate": 0.0,
"mlb_id": 545361,
"obp": 0.8,
"opponent_team_id_bbref": None,
"ops": 2.4,
"percent_started": 1.0,
"percent_subbed": 0.0,
"plate_appearances": 5,
"player_team_id_bbref": "LAA",
"rbis": 3,
"re24_bat": 2.9,
"runs_scored": 2,
"sac_fly": 0,
"sac_hit": 0,
"separate_player_stats_for_bat_order": False,
"separate_player_stats_for_def_pos": False,
"slg": 1.6,
"stint_number": None,
"stolen_bases": 0,
"strikeouts": 0,
"team_id_bbref": "LAA",
"total_games": 1,
"total_games_started": 1,
"total_games_subbed": 0,
"total_pitches": 19,
"total_strikes": 11,
"triples": 0,
"wpa_bat": 0.14,
"wpa_bat_neg": -0.02,
"wpa_bat_pos": 0.17,
"year": None,
"bat_order": "2",
"def_position": "CF",
}
bat_stats_by_team_by_year_dict = {
"all_player_stats_for_bat_order": False,
"all_player_stats_for_def_pos": False,
"all_stats_for_season": False,
"all_stats_for_stint": False,
"all_team_stats_for_bat_order": False,
"all_team_stats_for_def_pos": False,
"at_bats": 5,
"avg": 0.8,
"bases_on_balls": 0,
"bat_order_list": [2],
"bat_order_metrics": [{"bat_order": 2, "percent": 100.0, "total_games": 1}],
"bb_rate": 0.0,
"bbref_id": "troutmi01",
"career_stats_all_teams": False,
"career_stats_for_team": False,
"caught_stealing": 1,
"changed_teams_midseason": False,
"contact_rate": 1.0,
"def_position_list": [DefensePosition.CENTER_FIELD],
"def_position_metrics": [
{"def_pos": DefensePosition.CENTER_FIELD, "is_starter": True, "percent": 100.0, "total_games": 1}
],
"doubles": 1,
"gdp": 0,
"hit_by_pitch": 0,
"hits": 4,
"homeruns": 1,
"intentional_bb": 0,
"is_starter": False,
"iso": 0.8,
"k_rate": 0.0,
"mlb_id": 545361,
"obp": 0.8,
"opponent_team_id_bbref": None,
"ops": 2.4,
"percent_started": 1.0,
"percent_subbed": 0.0,
"plate_appearances": 5,
"player_team_id_bbref": "LAA",
"rbis": 3,
"re24_bat": 2.9,
"runs_scored": 2,
"sac_fly": 0,
"sac_hit": 0,
"separate_player_stats_for_bat_order": False,
"separate_player_stats_for_def_pos": False,
"slg": 1.6,
"stint_number": 1,
"stolen_bases": 0,
"strikeouts": 0,
"team_id_bbref": "LAA",
"total_games": 1,
"total_games_started": 1,
"total_games_subbed": 0,
"total_pitches": 19,
"total_strikes": 11,
"triples": 0,
"wpa_bat": 0.14,
"wpa_bat_neg": -0.02,
"wpa_bat_pos": 0.17,
"year": 2019,
"bat_order": "2",
"def_position": "CF",
}
bat_stats_by_opp_team_dict = {
"all_player_stats_for_bat_order": False,
"all_player_stats_for_def_pos": False,
"all_stats_for_season": False,
"all_stats_for_stint": False,
"all_team_stats_for_bat_order": False,
"all_team_stats_for_def_pos": False,
"at_bats": 5,
"avg": 0.8,
"bases_on_balls": 0,
"bat_order_list": [2],
"bat_order_metrics": [{"bat_order": 2, "percent": 100.0, "total_games": 1}],
"bb_rate": 0.0,
"bbref_id": "troutmi01",
"career_stats_all_teams": False,
"career_stats_for_team": False,
"caught_stealing": 1,
"changed_teams_midseason": False,
"contact_rate": 1.0,
"def_position_list": [DefensePosition.CENTER_FIELD],
"def_position_metrics": [
{"def_pos": DefensePosition.CENTER_FIELD, "is_starter": True, "percent": 100.0, "total_games": 1}
],
"doubles": 1,
"gdp": 0,
"hit_by_pitch": 0,
"hits": 4,
"homeruns": 1,
"intentional_bb": 0,
"is_starter": False,
"iso": 0.8,
"k_rate": 0.0,
"mlb_id": 545361,
"obp": 0.8,
"opponent_team_id_bbref": "TOR",
"ops": 2.4,
"percent_started": 1.0,
"percent_subbed": 0.0,
"plate_appearances": 5,
"player_team_id_bbref": None,
"rbis": 3,
"re24_bat": 2.9,
"runs_scored": 2,
"sac_fly": 0,
"sac_hit": 0,
"separate_player_stats_for_bat_order": False,
"separate_player_stats_for_def_pos": False,
"slg": 1.6,
"stint_number": None,
"stolen_bases": 0,
"strikeouts": 0,
"team_id_bbref": None,
"total_games": 1,
"total_games_started": 1,
"total_games_subbed": 0,
"total_pitches": 19,
"total_strikes": 11,
"triples": 0,
"wpa_bat": 0.14,
"wpa_bat_neg": -0.02,
"wpa_bat_pos": 0.17,
"year": None,
"bat_order": "2",
"def_position": "CF",
}
bat_stats_by_opp_team_by_year_dict = {
"all_player_stats_for_bat_order": False,
"all_player_stats_for_def_pos": False,
"all_stats_for_season": False,
"all_stats_for_stint": False,
"all_team_stats_for_bat_order": False,
"all_team_stats_for_def_pos": False,
"at_bats": 5,
"avg": 0.8,
"bases_on_balls": 0,
"bat_order_list": [2],
"bat_order_metrics": [{"bat_order": 2, "percent": 100.0, "total_games": 1}],
"bb_rate": 0.0,
"bbref_id": "troutmi01",
"career_stats_all_teams": False,
"career_stats_for_team": False,
"caught_stealing": 1,
"changed_teams_midseason": False,
"contact_rate": 1.0,
"def_position_list": [DefensePosition.CENTER_FIELD],
"def_position_metrics": [
{"def_pos": DefensePosition.CENTER_FIELD, "is_starter": True, "percent": 100.0, "total_games": 1}
],
"doubles": 1,
"gdp": 0,
"hit_by_pitch": 0,
"hits": 4,
"homeruns": 1,
"intentional_bb": 0,
"is_starter": False,
"iso": 0.8,
"k_rate": 0.0,
"mlb_id": 545361,
"obp": 0.8,
"opponent_team_id_bbref": "TOR",
"ops": 2.4,
"percent_started": 1.0,
"percent_subbed": 0.0,
"plate_appearances": 5,
"player_team_id_bbref": None,
"rbis": 3,
"re24_bat": 2.9,
"runs_scored": 2,
"sac_fly": 0,
"sac_hit": 0,
"separate_player_stats_for_bat_order": False,
"separate_player_stats_for_def_pos": False,
"slg": 1.6,
"stint_number": None,
"stolen_bases": 0,
"strikeouts": 0,
"team_id_bbref": None,
"total_games": 1,
"total_games_started": 1,
"total_games_subbed": 0,
"total_pitches": 19,
"total_strikes": 11,
"triples": 0,
"wpa_bat": 0.14,
"wpa_bat_neg": -0.02,
"wpa_bat_pos": 0.17,
"year": 2019,
"bat_order": "2",
"def_position": "CF",
}
player_data = PlayerData(vig_app, 545361)
assert player_data.bat_stats_for_career.as_dict() == bat_stats_for_career_dict
assert player_data.bat_stats_by_year[0].as_dict() == bat_stats_by_year_dict
assert player_data.bat_stats_by_team[0].as_dict() == bat_stats_by_team_dict
assert player_data.bat_stats_by_team_by_year[0].as_dict() == bat_stats_by_team_by_year_dict
assert player_data.bat_stats_by_opp_team["TOR"].as_dict() == bat_stats_by_opp_team_dict
assert player_data.bat_stats_by_opp_team_by_year[2019]["TOR"].as_dict() == bat_stats_by_opp_team_by_year_dict
def test_pitch_stats(vig_app):
pitch_stats_as_rp_dict = {
"bases_on_balls": 0,
"batters_faced": 0,
"bb_per_nine": 0.0,
"bb_rate": 0.0,
"bbref_id": "lawde01",
"earned_runs": 0,
"era": 0.0,
"fly_balls": 0,
"games_as_rp": 0,
"games_as_sp": 0,
"ground_balls": 0,
"hits": 0,
"homeruns": 0,
"hr_per_fb": 0.0,
"hr_per_nine": 0.0,
"inherited_runners": 0,
"inherited_scored": 0,
"innings_pitched": 0.0,
"k_minus_bb": 0.0,
"k_per_bb": 0.0,
"k_per_nine": 0.0,
"k_rate": 0.0,
"line_drives": 0,
"losses": 0,
"mlb_id": 571882,
"opponent_team_id_bbref": None,
"pitch_count": 0,
"player_team_id_bbref": None,
"re24_pitch": 0,
"role": "RP",
"runs": 0,
"saves": 0,
"stint_number": None,
"strikeouts": 0,
"strikes": 0,
"strikes_contact": 0,
"strikes_looking": 0,
"strikes_swinging": 0,
"team_id_bbref": None,
"total_games": 0,
"total_outs": 0,
"unknown_type": 0,
"whip": 0.0,
"wins": 0,
"wpa_pitch": 0,
"year": None,
}
pitch_stats_as_sp_dict = {
"bases_on_balls": 0,
"batters_faced": 3,
"bb_per_nine": 0.0,
"bb_rate": 0.0,
"bbref_id": "lawde01",
"earned_runs": 0,
"era": 0.0,
"fly_balls": 1,
"games_as_rp": 0,
"games_as_sp": 1,
"ground_balls": 0,
"hits": 0,
"homeruns": 0,
"hr_per_fb": 0.0,
"hr_per_nine": 0.0,
"inherited_runners": 0,
"inherited_scored": 0,
"innings_pitched": 1.0,
"k_minus_bb": 0.667,
"k_per_bb": 0.0,
"k_per_nine": 18.0,
"k_rate": 0.667,
"line_drives": 1,
"losses": 0,
"mlb_id": 571882,
"opponent_team_id_bbref": None,
"pitch_count": 17,
"player_team_id_bbref": None,
"re24_pitch": 0.5,
"role": "SP",
"runs": 0,
"saves": 0,
"stint_number": None,
"strikeouts": 2,
"strikes": 11,
"strikes_contact": 4,
"strikes_looking": 5,
"strikes_swinging": 2,
"team_id_bbref": None,
"total_games": 1,
"total_outs": 3,
"unknown_type": 0,
"whip": 0.0,
"wins": 0,
"wpa_pitch": 0.05,
"year": None,
}
pitch_stats_by_opp_team_by_year_dict = {
"bases_on_balls": 0,
"batters_faced": 3,
"bb_per_nine": 0.0,
"bb_rate": 0.0,
"bbref_id": "lawde01",
"earned_runs": 0,
"era": 0.0,
"fly_balls": 1,
"games_as_rp": 0,
"games_as_sp": 1,
"ground_balls": 0,
"hits": 0,
"homeruns": 0,
"hr_per_fb": 0.0,
"hr_per_nine": 0.0,
"inherited_runners": 0,
"inherited_scored": 0,
"innings_pitched": 1.0,
"k_minus_bb": 0.667,
"k_per_bb": 0.0,
"k_per_nine": 18.0,
"k_rate": 0.667,
"line_drives": 1,
"losses": 0,
"mlb_id": 571882,
"opponent_team_id_bbref": "LAA",
"pitch_count": 17,
"player_team_id_bbref": None,
"re24_pitch": 0.5,
"role": None,
"runs": 0,
"saves": 0,
"stint_number": None,
"strikeouts": 2,
"strikes": 11,
"strikes_contact": 4,
"strikes_looking": 5,
"strikes_swinging": 2,
"team_id_bbref": None,
"total_games": 1,
"total_outs": 3,
"unknown_type": 0,
"whip": 0.0,
"wins": 0,
"wpa_pitch": 0.05,
"year": 2019,
}
pitch_stats_by_opp_team_dict = {
"bases_on_balls": 0,
"batters_faced": 3,
"bb_per_nine": 0.0,
"bb_rate": 0.0,
"bbref_id": "lawde01",
"earned_runs": 0,
"era": 0.0,
"fly_balls": 1,
"games_as_rp": 0,
"games_as_sp": 1,
"ground_balls": 0,
"hits": 0,
"homeruns": 0,
"hr_per_fb": 0.0,
"hr_per_nine": 0.0,
"inherited_runners": 0,
"inherited_scored": 0,
"innings_pitched": 1.0,
"k_minus_bb": 0.667,
"k_per_bb": 0.0,
"k_per_nine": 18.0,
"k_rate": 0.667,
"line_drives": 1,
"losses": 0,
"mlb_id": 571882,
"opponent_team_id_bbref": "LAA",
"pitch_count": 17,
"player_team_id_bbref": None,
"re24_pitch": 0.5,
"role": None,
"runs": 0,
"saves": 0,
"stint_number": None,
"strikeouts": 2,
"strikes": 11,
"strikes_contact": 4,
"strikes_looking": 5,
"strikes_swinging": 2,
"team_id_bbref": None,
"total_games": 1,
"total_outs": 3,
"unknown_type": 0,
"whip": 0.0,
"wins": 0,
"wpa_pitch": 0.05,
"year": None,
}
pitch_stats_by_team_by_year_dict = {
"bases_on_balls": 0,
"batters_faced": 3,
"bb_per_nine": 0.0,
"bb_rate": 0.0,
"bbref_id": "lawde01",
"earned_runs": 0,
"era": 0.0,
"fly_balls": 1,
"games_as_rp": 0,
"games_as_sp": 1,
"ground_balls": 0,
"hits": 0,
"homeruns": 0,
"hr_per_fb": 0.0,
"hr_per_nine": 0.0,
"inherited_runners": 0,
"inherited_scored": 0,
"innings_pitched": 1.0,
"k_minus_bb": 0.667,
"k_per_bb": 0.0,
"k_per_nine": 18.0,
"k_rate": 0.667,
"line_drives": 1,
"losses": 0,
"mlb_id": 571882,
"opponent_team_id_bbref": None,
"pitch_count": 17,
"player_team_id_bbref": "TOR",
"re24_pitch": 0.5,
"role": None,
"runs": 0,
"saves": 0,
"stint_number": 1,
"strikeouts": 2,
"strikes": 11,
"strikes_contact": 4,
"strikes_looking": 5,
"strikes_swinging": 2,
"team_id_bbref": "TOR",
"total_games": 1,
"total_outs": 3,
"unknown_type": 0,
"whip": 0.0,
"wins": 0,
"wpa_pitch": 0.05,
"year": 2019,
}
pitch_stats_by_team_dict = {
"bases_on_balls": 0,
"batters_faced": 3,
"bb_per_nine": 0.0,
"bb_rate": 0.0,
"bbref_id": "lawde01",
"earned_runs": 0,
"era": 0.0,
"fly_balls": 1,
"games_as_rp": 0,
"games_as_sp": 1,
"ground_balls": 0,
"hits": 0,
"homeruns": 0,
"hr_per_fb": 0.0,
"hr_per_nine": 0.0,
"inherited_runners": 0,
"inherited_scored": 0,
"innings_pitched": 1.0,
"k_minus_bb": 0.667,
"k_per_bb": 0.0,
"k_per_nine": 18.0,
"k_rate": 0.667,
"line_drives": 1,
"losses": 0,
"mlb_id": 571882,
"opponent_team_id_bbref": None,
"pitch_count": 17,
"player_team_id_bbref": "TOR",
"re24_pitch": 0.5,
"role": None,
"runs": 0,
"saves": 0,
"stint_number": None,
"strikeouts": 2,
"strikes": 11,
"strikes_contact": 4,
"strikes_looking": 5,
"strikes_swinging": 2,
"team_id_bbref": "TOR",
"total_games": 1,
"total_outs": 3,
"unknown_type": 0,
"whip": 0.0,
"wins": 0,
"wpa_pitch": 0.05,
"year": None,
}
pitch_stats_by_year_dict = {
"bases_on_balls": 0,
"batters_faced": 3,
"bb_per_nine": 0.0,
"bb_rate": 0.0,
"bbref_id": "lawde01",
"earned_runs": 0,
"era": 0.0,
"fly_balls": 1,
"games_as_rp": 0,
"games_as_sp": 1,
"ground_balls": 0,
"hits": 0,
"homeruns": 0,
"hr_per_fb": 0.0,
"hr_per_nine": 0.0,
"inherited_runners": 0,
"inherited_scored": 0,
"innings_pitched": 1.0,
"k_minus_bb": 0.667,
"k_per_bb": 0.0,
"k_per_nine": 18.0,
"k_rate": 0.667,
"line_drives": 1,
"losses": 0,
"mlb_id": 571882,
"opponent_team_id_bbref": None,
"pitch_count": 17,
"player_team_id_bbref": None,
"re24_pitch": 0.5,
"role": None,
"runs": 0,
"saves": 0,
"stint_number": None,
"strikeouts": 2,
"strikes": 11,
"strikes_contact": 4,
"strikes_looking": 5,
"strikes_swinging": 2,
"team_id_bbref": None,
"total_games": 1,
"total_outs": 3,
"unknown_type": 0,
"whip": 0.0,
"wins": 0,
"wpa_pitch": 0.05,
"year": 2019,
}
pitch_stats_for_career_dict = {
"bases_on_balls": 0,
"batters_faced": 3,
"bb_per_nine": 0.0,
"bb_rate": 0.0,
"bbref_id": "lawde01",
"earned_runs": 0,
"era": 0.0,
"fly_balls": 1,
"games_as_rp": 0,
"games_as_sp": 1,
"ground_balls": 0,
"hits": 0,
"homeruns": 0,
"hr_per_fb": 0.0,
"hr_per_nine": 0.0,
"inherited_runners": 0,
"inherited_scored": 0,
"innings_pitched": 1.0,
"k_minus_bb": 0.667,
"k_per_bb": 0.0,
"k_per_nine": 18.0,
"k_rate": 0.667,
"line_drives": 1,
"losses": 0,
"mlb_id": 571882,
"opponent_team_id_bbref": None,
"pitch_count": 17,
"player_team_id_bbref": None,
"re24_pitch": 0.5,
"role": None,
"runs": 0,
"saves": 0,
"stint_number": None,
"strikeouts": 2,
"strikes": 11,
"strikes_contact": 4,
"strikes_looking": 5,
"strikes_swinging": 2,
"team_id_bbref": None,
"total_games": 1,
"total_outs": 3,
"unknown_type": 0,
"whip": 0.0,
"wins": 0,
"wpa_pitch": 0.05,
"year": None,
}
player_data = PlayerData(vig_app, 571882)
assert player_data.all_pitch_stats_for_career.as_dict() == pitch_stats_for_career_dict
assert player_data.pitch_stats_as_sp.as_dict() == pitch_stats_as_sp_dict
assert player_data.pitch_stats_as_rp.as_dict() == pitch_stats_as_rp_dict
assert player_data.pitch_stats_by_year[0].as_dict() == pitch_stats_by_year_dict
assert player_data.pitch_stats_by_team[0].as_dict() == pitch_stats_by_team_dict
assert player_data.pitch_stats_by_team_by_year[0].as_dict() == pitch_stats_by_team_by_year_dict
assert player_data.pitch_stats_by_opp_team["LAA"].as_dict() == pitch_stats_by_opp_team_dict
assert player_data.pitch_stats_by_opp_team_by_year[2019]["LAA"].as_dict() == pitch_stats_by_opp_team_by_year_dict
def test_pitchfx_pitching_metrics_career(vig_app):
# All PitchFX metrics used by this test are from a single pitching performance by Derek Law, who appeared
# as the starting pitcher for the Toronto Blue Jays against the Los Angeles Angels on June 17, 2019.
pfx_metrics_career_vsALL_combined_dict = {
"avg": 0.0,
"avg_break_angle": 9.2,
"avg_break_length": 7.8,
"avg_break_y": 24.0,
"avg_extension": 6.29,
"avg_hit_distance": 328.0,
"avg_launch_angle": 27.0,
"avg_launch_speed": 85.3,
"avg_pfx_x": -0.31,
"avg_pfx_z": 2.41,
"avg_plate_time": 0.442,
"avg_px": 0.13,
"avg_pz": 2.27,
"avg_speed": 86.0,
"avg_spin_direction": 123.0,
"avg_spin_rate": 2127.0,
"bad_whiff_rate": 0.167,
"barrel_rate": 0.0,
"bat_stand": None,
"bb_rate": 0.0,
"called_strike_rate": 0.294,
"contact_rate": 0.667,
"csw_rate": 0.412,
"fly_ball_rate": 0.0,
"ground_ball_rate": 0.0,
"hard_hit_rate": 0.0,
"hr_per_fb": 0.0,
"iso": 0.0,
"k_rate": 0.667,
"line_drive_rate": 1.0,
"max_launch_speed": 85.3,
"medium_hit_rate": 1.0,
"mlb_id": 571882,
"o_contact_rate": 0.667,
"o_swing_rate": 0.3,
"obp": 0.0,
"ops": 0.0,
"p_throws": "R",
"percent": 1,
"pitch_type_int": 32803,
"popup_rate": 0.0,
"slg": 0.0,
"soft_hit_rate": 0.0,
"swing_rate": 0.353,
"swinging_strike_rate": 0.118,
"total_at_bats": 3,
"total_bad_whiffs": 1,
"total_balls_in_play": 1,
"total_barrels": 0,
"total_bb": 0,
"total_called_strikes": 5,
"total_contact_inside_zone": 2,
"total_contact_outside_zone": 2,
"total_doubles": 0,
"total_errors": 0,
"total_fly_balls": 0,
"total_ground_balls": 0,
"total_hard_hits": 0,
"total_hbp": 0,
"total_hits": 0,
"total_homeruns": 0,
"total_ibb": 0,
"total_inside_strike_zone": 7,
"total_k": 2,
"total_line_drives": 1,
"total_medium_hits": 1,
"total_outs": 3,
"total_outside_strike_zone": 10,
"total_pa": 3,
"total_pitches": 17,
"total_popups": 0,
"total_sac_fly": 0,
"total_sac_hit": 0,
"total_singles": 0,
"total_soft_hits": 0,
"total_swinging_strikes": 2,
"total_swings": 6,
"total_swings_inside_zone": 3,
"total_swings_made_contact": 4,
"total_swings_outside_zone": 3,
"total_triples": 0,
"triple_slash": ".000/.000/.000 (.000)",
"whiff_rate": 0.333,
"z_contact_rate": 0.667,
"z_swing_rate": 0.429,
"zone_rate": 0.412,
"pitch_type": ["CH", "CU", "FF", "SL"],
}
pfx_metrics_career_vsRHB_combined_dict = {
"avg": 0.0,
"avg_break_angle": 9.1,
"avg_break_length": 6.7,
"avg_break_y": 24.0,
"avg_extension": 6.25,
"avg_hit_distance": 328.0,
"avg_launch_angle": 27.0,
"avg_launch_speed": 85.3,
"avg_pfx_x": -0.26,
"avg_pfx_z": 3.81,
"avg_plate_time": 0.432,
"avg_px": 0.29,
"avg_pz": 2.9,
"avg_speed": 88.3,
"avg_spin_direction": 131.0,
"avg_spin_rate": 2206.0,
"bad_whiff_rate": 0.0,
"barrel_rate": 0.0,
"bat_stand": "R",
"bb_rate": 0.0,
"called_strike_rate": 0.2,
"contact_rate": 1.0,
"csw_rate": 0.2,
"fly_ball_rate": 0.0,
"ground_ball_rate": 0.0,
"hard_hit_rate": 0.0,
"hr_per_fb": 0.0,
"iso": 0.0,
"k_rate": 0.0,
"line_drive_rate": 1.0,
"max_launch_speed": 85.3,
"medium_hit_rate": 1.0,
"mlb_id": 571882,
"o_contact_rate": 1.0,
"o_swing_rate": 0.333,
"obp": 0.0,
"ops": 0.0,
"p_throws": "R",
"percent": 1,
"pitch_type_int": 32802,
"popup_rate": 0.0,
"slg": 0.0,
"soft_hit_rate": 0.0,
"swing_rate": 0.4,
"swinging_strike_rate": 0.0,
"total_at_bats": 1,
"total_bad_whiffs": 0,
"total_balls_in_play": 1,
"total_barrels": 0,
"total_bb": 0,
"total_called_strikes": 1,
"total_contact_inside_zone": 1,
"total_contact_outside_zone": 1,
"total_doubles": 0,
"total_errors": 0,
"total_fly_balls": 0,
"total_ground_balls": 0,
"total_hard_hits": 0,
"total_hbp": 0,
"total_hits": 0,
"total_homeruns": 0,
"total_ibb": 0,
"total_inside_strike_zone": 2,
"total_k": 0,
"total_line_drives": 1,
"total_medium_hits": 1,
"total_outs": 1,
"total_outside_strike_zone": 3,
"total_pa": 1,
"total_pitches": 5,
"total_popups": 0,
"total_sac_fly": 0,
"total_sac_hit": 0,
"total_singles": 0,
"total_soft_hits": 0,
"total_swinging_strikes": 0,
"total_swings": 2,
"total_swings_inside_zone": 1,
"total_swings_made_contact": 2,
"total_swings_outside_zone": 1,
"total_triples": 0,
"triple_slash": ".000/.000/.000 (.000)",
"whiff_rate": 0.0,
"z_contact_rate": 1.0,
"z_swing_rate": 0.5,
"zone_rate": 0.4,
"pitch_type": ["CU", "FF", "SL"],
}
pfx_metrics_career_vsLHB_combined_dict = {
"avg": 0.0,
"avg_break_angle": 9.2,
"avg_break_length": 8.2,
"avg_break_y": 24.0,
"avg_extension": 6.3,
"avg_hit_distance": 0.0,
"avg_launch_angle": 0.0,
"avg_launch_speed": 0.0,
"avg_pfx_x": -0.34,
"avg_pfx_z": 1.82,
"avg_plate_time": 0.446,
"avg_px": 0.07,
"avg_pz": 2.01,
"avg_speed": 85.0,
"avg_spin_direction": 119.0,
"avg_spin_rate": 2093.0,
"bad_whiff_rate": 0.25,
"barrel_rate": 0.0,
"bat_stand": "L",
"bb_rate": 0.0,
"called_strike_rate": 0.333,
"contact_rate": 0.5,
"csw_rate": 0.5,
"fly_ball_rate": 0.0,
"ground_ball_rate": 0.0,
"hard_hit_rate": 0.0,
"hr_per_fb": 0.0,
"iso": 0.0,
"k_rate": 1.0,
"line_drive_rate": 0.0,
"max_launch_speed": 0.0,
"medium_hit_rate": 0.0,
"mlb_id": 571882,
"o_contact_rate": 0.5,
"o_swing_rate": 0.286,
"obp": 0.0,
"ops": 0.0,
"p_throws": "R",
"percent": 1,
"pitch_type_int": 32803,
"popup_rate": 0.0,
"slg": 0.0,
"soft_hit_rate": 0.0,
"swing_rate": 0.333,
"swinging_strike_rate": 0.167,
"total_at_bats": 2,
"total_bad_whiffs": 1,
"total_balls_in_play": 0,
"total_barrels": 0,
"total_bb": 0,
"total_called_strikes": 4,
"total_contact_inside_zone": 1,
"total_contact_outside_zone": 1,
"total_doubles": 0,
"total_errors": 0,
"total_fly_balls": 0,
"total_ground_balls": 0,
"total_hard_hits": 0,
"total_hbp": 0,
"total_hits": 0,
"total_homeruns": 0,
"total_ibb": 0,
"total_inside_strike_zone": 5,
"total_k": 2,
"total_line_drives": 0,
"total_medium_hits": 0,
"total_outs": 2,
"total_outside_strike_zone": 7,
"total_pa": 2,
"total_pitches": 12,
"total_popups": 0,
"total_sac_fly": 0,
"total_sac_hit": 0,
"total_singles": 0,
"total_soft_hits": 0,
"total_swinging_strikes": 2,
"total_swings": 4,
"total_swings_inside_zone": 2,
"total_swings_made_contact": 2,
"total_swings_outside_zone": 2,
"total_triples": 0,
"triple_slash": ".000/.000/.000 (.000)",
"whiff_rate": 0.5,
"z_contact_rate": 0.5,
"z_swing_rate": 0.4,
"zone_rate": 0.417,
"pitch_type": ["CH", "CU", "FF", "SL"],
}
pfx_metrics_career_vsALL_CU_dict = {
"avg": 0.0,
"avg_break_angle": 5.4,
"avg_break_length": 13.2,
"avg_break_y": 24.0,
"avg_extension": 5.82,
"avg_hit_distance": 0.0,
"avg_launch_angle": 0.0,
"avg_launch_speed": 0.0,
"avg_pfx_x": 3.04,
"avg_pfx_z": -5.96,
"avg_plate_time": 0.502,
"avg_px": 0.23,
"avg_pz": 1.59,
"avg_speed": 76.2,
"avg_spin_direction": 27.0,
"avg_spin_rate": 2056.0,
"bad_whiff_rate": 0.0,
"barrel_rate": 0.0,
"bat_stand": None,
"bb_rate": 0.0,
"called_strike_rate": 0.5,
"contact_rate": 0.0,
"csw_rate": 0.5,
"fly_ball_rate": 0.0,
"ground_ball_rate": 0.0,
"hard_hit_rate": 0.0,
"hr_per_fb": 0.0,
"iso": 0.0,
"k_rate": 0.0,
"line_drive_rate": 0.0,
"max_launch_speed": 0.0,
"medium_hit_rate": 0.0,
"mlb_id": 571882,
"o_contact_rate": 0.0,
"o_swing_rate": 0.0,
"obp": 0.0,
"ops": 0.0,
"p_throws": "R",
"percent": 0.23529411764705882,
"pitch_type_int": 2,
"popup_rate": 0.0,
"slg": 0.0,
"soft_hit_rate": 0.0,
"swing_rate": 0.0,
"swinging_strike_rate": 0.0,
"total_at_bats": 0,
"total_bad_whiffs": 0,
"total_balls_in_play": 0,
"total_barrels": 0,
"total_bb": 0,
"total_called_strikes": 2,
"total_contact_inside_zone": 0,
"total_contact_outside_zone": 0,
"total_doubles": 0,
"total_errors": 0,
"total_fly_balls": 0,
"total_ground_balls": 0,
"total_hard_hits": 0,
"total_hbp": 0,
"total_hits": 0,
"total_homeruns": 0,
"total_ibb": 0,
"total_inside_strike_zone": 2,
"total_k": 0,
"total_line_drives": 0,
"total_medium_hits": 0,
"total_outs": 0,
"total_outside_strike_zone": 2,
"total_pa": 0,
"total_pitches": 4,
"total_popups": 0,
"total_sac_fly": 0,
"total_sac_hit": 0,
"total_singles": 0,
"total_soft_hits": 0,
"total_swinging_strikes": 0,
"total_swings": 0,
"total_swings_inside_zone": 0,
"total_swings_made_contact": 0,
"total_swings_outside_zone": 0,
"total_triples": 0,
"triple_slash": ".000/.000/.000 (.000)",
"whiff_rate": 0.0,
"z_contact_rate": 0.0,
"z_swing_rate": 0.0,
"zone_rate": 0.5,
"pitch_type": ["CU"],
}
pfx_metrics_career_vsRHB_CU_dict = {
"avg": 0.0,
"avg_break_angle": 2.4,
"avg_break_length": 13.2,
"avg_break_y": 24.0,
"avg_extension": 5.64,
"avg_hit_distance": 0.0,
"avg_launch_angle": 0.0,
"avg_launch_speed": 0.0,
"avg_pfx_x": 1.2,
"avg_pfx_z": -6.97,
"avg_plate_time": 0.51,
"avg_px": 0.73,
"avg_pz": 1.44,
"avg_speed": 75.6,
"avg_spin_direction": 11.0,
"avg_spin_rate": 2141.0,
"bad_whiff_rate": 0.0,
"barrel_rate": 0.0,
"bat_stand": "R",
"bb_rate": 0.0,
"called_strike_rate": 0.0,
"contact_rate": 0.0,
"csw_rate": 0.0,
"fly_ball_rate": 0.0,
"ground_ball_rate": 0.0,
"hard_hit_rate": 0.0,
"hr_per_fb": 0.0,
"iso": 0.0,
"k_rate": 0.0,
"line_drive_rate": 0.0,
"max_launch_speed": 0.0,
"medium_hit_rate": 0.0,
"mlb_id": 571882,
"o_contact_rate": 0.0,
"o_swing_rate": 0.0,
"obp": 0.0,
"ops": 0.0,
"p_throws": "R",
"percent": 0.2,
"pitch_type_int": 2,
"popup_rate": 0.0,
"slg": 0.0,
"soft_hit_rate": 0.0,
"swing_rate": 0.0,
"swinging_strike_rate": 0.0,
"total_at_bats": 0,
"total_bad_whiffs": 0,
"total_balls_in_play": 0,
"total_barrels": 0,
"total_bb": 0,
"total_called_strikes": 0,
"total_contact_inside_zone": 0,
"total_contact_outside_zone": 0,
"total_doubles": 0,
"total_errors": 0,
"total_fly_balls": 0,
"total_ground_balls": 0,
"total_hard_hits": 0,
"total_hbp": 0,
"total_hits": 0,
"total_homeruns": 0,
"total_ibb": 0,
"total_inside_strike_zone": 0,
"total_k": 0,
"total_line_drives": 0,
"total_medium_hits": 0,
"total_outs": 0,
"total_outside_strike_zone": 1,
"total_pa": 0,
"total_pitches": 1,
"total_popups": 0,
"total_sac_fly": 0,
"total_sac_hit": 0,
"total_singles": 0,
"total_soft_hits": 0,
"total_swinging_strikes": 0,
"total_swings": 0,
"total_swings_inside_zone": 0,
"total_swings_made_contact": 0,
"total_swings_outside_zone": 0,
"total_triples": 0,
"triple_slash": ".000/.000/.000 (.000)",
"whiff_rate": 0.0,
"z_contact_rate": 0.0,
"z_swing_rate": 0.0,
"zone_rate": 0.0,
"pitch_type": ["CU"],
}
pfx_metrics_career_vsLHB_CU_dict = {
"avg": 0.0,
"avg_break_angle": 6.4,
"avg_break_length": 13.2,
"avg_break_y": 24.0,
"avg_extension": 5.88,
"avg_hit_distance": 0.0,
"avg_launch_angle": 0.0,
"avg_launch_speed": 0.0,
"avg_pfx_x": 3.66,
"avg_pfx_z": -5.63,
"avg_plate_time": 0.5,
"avg_px": 0.06,
"avg_pz": 1.64,
"avg_speed": 76.4,
"avg_spin_direction": 32.0,
"avg_spin_rate": 2028.0,
"bad_whiff_rate": 0.0,
"barrel_rate": 0.0,
"bat_stand": "L",
"bb_rate": 0.0,
"called_strike_rate": 0.667,
"contact_rate": 0.0,
"csw_rate": 0.667,
"fly_ball_rate": 0.0,
"ground_ball_rate": 0.0,
"hard_hit_rate": 0.0,
"hr_per_fb": 0.0,
"iso": 0.0,
"k_rate": 0.0,
"line_drive_rate": 0.0,
"max_launch_speed": 0.0,
"medium_hit_rate": 0.0,
"mlb_id": 571882,
"o_contact_rate": 0.0,
"o_swing_rate": 0.0,
"obp": 0.0,
"ops": 0.0,
"p_throws": "R",
"percent": 0.25,
"pitch_type_int": 2,
"popup_rate": 0.0,
"slg": 0.0,
"soft_hit_rate": 0.0,
"swing_rate": 0.0,
"swinging_strike_rate": 0.0,
"total_at_bats": 0,
"total_bad_whiffs": 0,
"total_balls_in_play": 0,
"total_barrels": 0,
"total_bb": 0,
"total_called_strikes": 2,
"total_contact_inside_zone": 0,
"total_contact_outside_zone": 0,
"total_doubles": 0,
"total_errors": 0,
"total_fly_balls": 0,
"total_ground_balls": 0,
"total_hard_hits": 0,
"total_hbp": 0,
"total_hits": 0,
"total_homeruns": 0,
"total_ibb": 0,
"total_inside_strike_zone": 2,
"total_k": 0,
"total_line_drives": 0,
"total_medium_hits": 0,
"total_outs": 0,
"total_outside_strike_zone": 1,
"total_pa": 0,
"total_pitches": 3,
"total_popups": 0,
"total_sac_fly": 0,
"total_sac_hit": 0,
"total_singles": 0,
"total_soft_hits": 0,
"total_swinging_strikes": 0,
"total_swings": 0,
"total_swings_inside_zone": 0,
"total_swings_made_contact": 0,
"total_swings_outside_zone": 0,
"total_triples": 0,
"triple_slash": ".000/.000/.000 (.000)",
"whiff_rate": 0.0,
"z_contact_rate": 0.0,
"z_swing_rate": 0.0,
"zone_rate": 0.667,
"pitch_type": ["CU"],
}
pfx_metrics_career_vsALL_FF_dict = {
"avg": 0.0,
"avg_break_angle": 7.0,
"avg_break_length": 3.6,
"avg_break_y": 24.0,
"avg_extension": 6.61,
"avg_hit_distance": 328.0,
"avg_launch_angle": 27.0,
"avg_launch_speed": 85.3,
"avg_pfx_x": -1.25,
"avg_pfx_z": 8.58,
"avg_plate_time": 0.398,
"avg_px": 0.05,
"avg_pz": 3.3,
"avg_speed": 94.0,
"avg_spin_direction": 186.0,
"avg_spin_rate": 2150.0,
"bad_whiff_rate": 0.0,
"barrel_rate": 0.0,
"bat_stand": None,
"bb_rate": 0.0,
"called_strike_rate": 0.167,
"contact_rate": 1.0,
"csw_rate": 0.167,
"fly_ball_rate": 0.0,
"ground_ball_rate": 0.0,
"hard_hit_rate": 0.0,
"hr_per_fb": 0.0,
"iso": 0.0,
"k_rate": 0.0,
"line_drive_rate": 1.0,
"max_launch_speed": 85.3,
"medium_hit_rate": 1.0,
"mlb_id": 571882,
"o_contact_rate": 1.0,
"o_swing_rate": 0.2,
"obp": 0.0,
"ops": 0.0,
"p_throws": "R",
"percent": 0.35294117647058826,
"pitch_type_int": 32,
"popup_rate": 0.0,
"slg": 0.0,
"soft_hit_rate": 0.0,
"swing_rate": 0.333,
"swinging_strike_rate": 0.0,
"total_at_bats": 1,
"total_bad_whiffs": 0,
"total_balls_in_play": 1,
"total_barrels": 0,
"total_bb": 0,
"total_called_strikes": 1,
"total_contact_inside_zone": 1,
"total_contact_outside_zone": 1,
"total_doubles": 0,
"total_errors": 0,
"total_fly_balls": 0,
"total_ground_balls": 0,
"total_hard_hits": 0,
"total_hbp": 0,
"total_hits": 0,
"total_homeruns": 0,
"total_ibb": 0,
"total_inside_strike_zone": 1,
"total_k": 0,
"total_line_drives": 1,
"total_medium_hits": 1,
"total_outs": 1,
"total_outside_strike_zone": 5,
"total_pa": 1,
"total_pitches": 6,
"total_popups": 0,
"total_sac_fly": 0,
"total_sac_hit": 0,
"total_singles": 0,
"total_soft_hits": 0,
"total_swinging_strikes": 0,
"total_swings": 2,
"total_swings_inside_zone": 1,
"total_swings_made_contact": 2,
"total_swings_outside_zone": 1,
"total_triples": 0,
"triple_slash": ".000/.000/.000 (.000)",
"whiff_rate": 0.0,
"z_contact_rate": 1.0,
"z_swing_rate": 1.0,
"zone_rate": 0.167,
"pitch_type": ["FF"],
}
pfx_metrics_career_vsRHB_FF_dict = {
"avg": 0.0,
"avg_break_angle": 11.6,
"avg_break_length": 3.6,
"avg_break_y": 24.0,
"avg_extension": 6.58,
"avg_hit_distance": 328.0,
"avg_launch_angle": 27.0,
"avg_launch_speed": 85.3,
"avg_pfx_x": -1.92,
"avg_pfx_z": 9.08,
"avg_plate_time": 0.397,
"avg_px": 0.05,
"avg_pz": 3.45,
"avg_speed": 94.6,
"avg_spin_direction": 191.0,
"avg_spin_rate": 2204.0,
"bad_whiff_rate": 0.0,
"barrel_rate": 0.0,
"bat_stand": "R",
"bb_rate": 0.0,
"called_strike_rate": 0.0,
"contact_rate": 1.0,
"csw_rate": 0.0,
"fly_ball_rate": 0.0,
"ground_ball_rate": 0.0,
"hard_hit_rate": 0.0,
"hr_per_fb": 0.0,
"iso": 0.0,
"k_rate": 0.0,
"line_drive_rate": 1.0,
"max_launch_speed": 85.3,
"medium_hit_rate": 1.0,
"mlb_id": 571882,
"o_contact_rate": 1.0,
"o_swing_rate": 0.5,
"obp": 0.0,
"ops": 0.0,
"p_throws": "R",
"percent": 0.6,
"pitch_type_int": 32,
"popup_rate": 0.0,
"slg": 0.0,
"soft_hit_rate": 0.0,
"swing_rate": 0.667,
"swinging_strike_rate": 0.0,
"total_at_bats": 1,
"total_bad_whiffs": 0,
"total_balls_in_play": 1,
"total_barrels": 0,
"total_bb": 0,
"total_called_strikes": 0,
"total_contact_inside_zone": 1,
"total_contact_outside_zone": 1,
"total_doubles": 0,
"total_errors": 0,
"total_fly_balls": 0,
"total_ground_balls": 0,
"total_hard_hits": 0,
"total_hbp": 0,
"total_hits": 0,
"total_homeruns": 0,
"total_ibb": 0,
"total_inside_strike_zone": 1,
"total_k": 0,
"total_line_drives": 1,
"total_medium_hits": 1,
"total_outs": 1,
"total_outside_strike_zone": 2,
"total_pa": 1,
"total_pitches": 3,
"total_popups": 0,
"total_sac_fly": 0,
"total_sac_hit": 0,
"total_singles": 0,
"total_soft_hits": 0,
"total_swinging_strikes": 0,
"total_swings": 2,
"total_swings_inside_zone": 1,
"total_swings_made_contact": 2,
"total_swings_outside_zone": 1,
"total_triples": 0,
"triple_slash": ".000/.000/.000 (.000)",
"whiff_rate": 0.0,
"z_contact_rate": 1.0,
"z_swing_rate": 1.0,
"zone_rate": 0.333,
"pitch_type": ["FF"],
}
pfx_metrics_career_vsLHB_FF_dict = {
"avg": 0.0,
"avg_break_angle": 2.4,
"avg_break_length": 3.6,
"avg_break_y": 24.0,
"avg_extension": 6.64,
"avg_hit_distance": 0.0,
"avg_launch_angle": 0.0,
"avg_launch_speed": 0.0,
"avg_pfx_x": -0.58,
"avg_pfx_z": 8.07,
"avg_plate_time": 0.4,
"avg_px": 0.05,
"avg_pz": 3.16,
"avg_speed": 93.4,
"avg_spin_direction": 182.0,
"avg_spin_rate": 2096.0,
"bad_whiff_rate": 0.0,
"barrel_rate": 0.0,
"bat_stand": "L",
"bb_rate": 0.0,
"called_strike_rate": 0.333,
"contact_rate": 0.0,
"csw_rate": 0.333,
"fly_ball_rate": 0.0,
"ground_ball_rate": 0.0,
"hard_hit_rate": 0.0,
"hr_per_fb": 0.0,
"iso": 0.0,
"k_rate": 0.0,
"line_drive_rate": 0.0,
"max_launch_speed": 0.0,
"medium_hit_rate": 0.0,
"mlb_id": 571882,
"o_contact_rate": 0.0,
"o_swing_rate": 0.0,
"obp": 0.0,
"ops": 0.0,
"p_throws": "R",
"percent": 0.25,
"pitch_type_int": 32,
"popup_rate": 0.0,
"slg": 0.0,
"soft_hit_rate": 0.0,
"swing_rate": 0.0,
"swinging_strike_rate": 0.0,
"total_at_bats": 0,
"total_bad_whiffs": 0,
"total_balls_in_play": 0,
"total_barrels": 0,
"total_bb": 0,
"total_called_strikes": 1,
"total_contact_inside_zone": 0,
"total_contact_outside_zone": 0,
"total_doubles": 0,
"total_errors": 0,
"total_fly_balls": 0,
"total_ground_balls": 0,
"total_hard_hits": 0,
"total_hbp": 0,
"total_hits": 0,
"total_homeruns": 0,
"total_ibb": 0,
"total_inside_strike_zone": 0,
"total_k": 0,
"total_line_drives": 0,
"total_medium_hits": 0,
"total_outs": 0,
"total_outside_strike_zone": 3,
"total_pa": 0,
"total_pitches": 3,
"total_popups": 0,
"total_sac_fly": 0,
"total_sac_hit": 0,
"total_singles": 0,
"total_soft_hits": 0,
"total_swinging_strikes": 0,
"total_swings": 0,
"total_swings_inside_zone": 0,
"total_swings_made_contact": 0,
"total_swings_outside_zone": 0,
"total_triples": 0,
"triple_slash": ".000/.000/.000 (.000)",
"whiff_rate": 0.0,
"z_contact_rate": 0.0,
"z_swing_rate": 0.0,
"zone_rate": 0.0,
"pitch_type": ["FF"],
}
pfx_metrics_career_vsALL_CH_dict = {
"avg": 0.0,
"avg_break_angle": 22.8,
"avg_break_length": 6.4,
"avg_break_y": 24.0,
"avg_extension": 6.55,
"avg_hit_distance": 0.0,
"avg_launch_angle": 0.0,
"avg_launch_speed": 0.0,
"avg_pfx_x": -6.38,
"avg_pfx_z": 6.99,
"avg_plate_time": 0.437,
"avg_px": -0.2,
"avg_pz": 2.37,
"avg_speed": 85.8,
"avg_spin_direction": 222.0,
"avg_spin_rate": 1967.0,
"bad_whiff_rate": 0.0,
"barrel_rate": 0.0,
"bat_stand": None,
"bb_rate": 0.0,
"called_strike_rate": 0.333,
"contact_rate": 0.5,
"csw_rate": 0.667,
"fly_ball_rate": 0.0,
"ground_ball_rate": 0.0,
"hard_hit_rate": 0.0,
"hr_per_fb": 0.0,
"iso": 0.0,
"k_rate": 1.0,
"line_drive_rate": 0.0,
"max_launch_speed": 0.0,
"medium_hit_rate": 0.0,
"mlb_id": 571882,
"o_contact_rate": 0.0,
"o_swing_rate": 0.0,
"obp": 0.0,
"ops": 0.0,
"p_throws": "R",
"percent": 0.17647058823529413,
"pitch_type_int": 1,
"popup_rate": 0.0,
"slg": 0.0,
"soft_hit_rate": 0.0,
"swing_rate": 0.667,
"swinging_strike_rate": 0.333,
"total_at_bats": 1,
"total_bad_whiffs": 0,
"total_balls_in_play": 0,
"total_barrels": 0,
"total_bb": 0,
"total_called_strikes": 1,
"total_contact_inside_zone": 1,
"total_contact_outside_zone": 0,
"total_doubles": 0,
"total_errors": 0,
"total_fly_balls": 0,
"total_ground_balls": 0,
"total_hard_hits": 0,
"total_hbp": 0,
"total_hits": 0,
"total_homeruns": 0,
"total_ibb": 0,
"total_inside_strike_zone": 3,
"total_k": 1,
"total_line_drives": 0,
"total_medium_hits": 0,
"total_outs": 1,
"total_outside_strike_zone": 0,
"total_pa": 1,
"total_pitches": 3,
"total_popups": 0,
"total_sac_fly": 0,
"total_sac_hit": 0,
"total_singles": 0,
"total_soft_hits": 0,
"total_swinging_strikes": 1,
"total_swings": 2,
"total_swings_inside_zone": 2,
"total_swings_made_contact": 1,
"total_swings_outside_zone": 0,
"total_triples": 0,
"triple_slash": ".000/.000/.000 (.000)",
"whiff_rate": 0.5,
"z_contact_rate": 0.5,
"z_swing_rate": 0.667,
"zone_rate": 1.0,
"pitch_type": ["CH"],
}
pfx_metrics_career_vsLHB_CH_dict = {
"avg": 0.0,
"avg_break_angle": 22.8,
"avg_break_length": 6.4,
"avg_break_y": 24.0,
"avg_extension": 6.55,
"avg_hit_distance": 0.0,
"avg_launch_angle": 0.0,
"avg_launch_speed": 0.0,
"avg_pfx_x": -6.38,
"avg_pfx_z": 6.99,
"avg_plate_time": 0.437,
"avg_px": -0.2,
"avg_pz": 2.37,
"avg_speed": 85.8,
"avg_spin_direction": 222.0,
"avg_spin_rate": 1967.0,
"bad_whiff_rate": 0.0,
"barrel_rate": 0.0,
"bat_stand": "L",
"bb_rate": 0.0,
"called_strike_rate": 0.333,
"contact_rate": 0.5,
"csw_rate": 0.667,
"fly_ball_rate": 0.0,
"ground_ball_rate": 0.0,
"hard_hit_rate": 0.0,
"hr_per_fb": 0.0,
"iso": 0.0,
"k_rate": 1.0,
"line_drive_rate": 0.0,
"max_launch_speed": 0.0,
"medium_hit_rate": 0.0,
"mlb_id": 571882,
"o_contact_rate": 0.0,
"o_swing_rate": 0.0,
"obp": 0.0,
"ops": 0.0,
"p_throws": "R",
"percent": 0.25,
"pitch_type_int": 1,
"popup_rate": 0.0,
"slg": 0.0,
"soft_hit_rate": 0.0,
"swing_rate": 0.667,
"swinging_strike_rate": 0.333,
"total_at_bats": 1,
"total_bad_whiffs": 0,
"total_balls_in_play": 0,
"total_barrels": 0,
"total_bb": 0,
"total_called_strikes": 1,
"total_contact_inside_zone": 1,
"total_contact_outside_zone": 0,
"total_doubles": 0,
"total_errors": 0,
"total_fly_balls": 0,
"total_ground_balls": 0,
"total_hard_hits": 0,
"total_hbp": 0,
"total_hits": 0,
"total_homeruns": 0,
"total_ibb": 0,
"total_inside_strike_zone": 3,
"total_k": 1,
"total_line_drives": 0,
"total_medium_hits": 0,
"total_outs": 1,
"total_outside_strike_zone": 0,
"total_pa": 1,
"total_pitches": 3,
"total_popups": 0,
"total_sac_fly": 0,
"total_sac_hit": 0,
"total_singles": 0,
"total_soft_hits": 0,
"total_swinging_strikes": 1,
"total_swings": 2,
"total_swings_inside_zone": 2,
"total_swings_made_contact": 1,
"total_swings_outside_zone": 0,
"total_triples": 0,
"triple_slash": ".000/.000/.000 (.000)",
"whiff_rate": 0.5,
"z_contact_rate": 0.5,
"z_swing_rate": 0.667,
"zone_rate": 1.0,
"pitch_type": ["CH"],
}
pfx_metrics_career_vsALL_SL_dict = {
"avg": 0.0,
"avg_break_angle": 6.0,
"avg_break_length": 9.6,
"avg_break_y": 24.0,
"avg_extension": 6.07,
"avg_hit_distance": 0.0,
"avg_launch_angle": 0.0,
"avg_launch_speed": 0.0,
"avg_pfx_x": 2.29,
"avg_pfx_z": -1.92,
"avg_plate_time": 0.45,
"avg_px": 0.41,
"avg_pz": 1.35,
"avg_speed": 83.7,
"avg_spin_direction": 48.0,
"avg_spin_rate": 2281.0,
"bad_whiff_rate": 0.5,
"barrel_rate": 0.0,
"bat_stand": None,
"bb_rate": 0.0,
"called_strike_rate": 0.25,
"contact_rate": 0.5,
"csw_rate": 0.5,
"fly_ball_rate": 0.0,
"ground_ball_rate": 0.0,
"hard_hit_rate": 0.0,
"hr_per_fb": 0.0,
"iso": 0.0,
"k_rate": 1.0,
"line_drive_rate": 0.0,
"max_launch_speed": 0.0,
"medium_hit_rate": 0.0,
"mlb_id": 571882,
"o_contact_rate": 0.5,
"o_swing_rate": 0.667,
"obp": 0.0,
"ops": 0.0,
"p_throws": "R",
"percent": 0.23529411764705882,
"pitch_type_int": 32768,
"popup_rate": 0.0,
"slg": 0.0,
"soft_hit_rate": 0.0,
"swing_rate": 0.5,
"swinging_strike_rate": 0.25,
"total_at_bats": 1,
"total_bad_whiffs": 1,
"total_balls_in_play": 0,
"total_barrels": 0,
"total_bb": 0,
"total_called_strikes": 1,
"total_contact_inside_zone": 0,
"total_contact_outside_zone": 1,
"total_doubles": 0,
"total_errors": 0,
"total_fly_balls": 0,
"total_ground_balls": 0,
"total_hard_hits": 0,
"total_hbp": 0,
"total_hits": 0,
"total_homeruns": 0,
"total_ibb": 0,
"total_inside_strike_zone": 1,
"total_k": 1,
"total_line_drives": 0,
"total_medium_hits": 0,
"total_outs": 1,
"total_outside_strike_zone": 3,
"total_pa": 1,
"total_pitches": 4,
"total_popups": 0,
"total_sac_fly": 0,
"total_sac_hit": 0,
"total_singles": 0,
"total_soft_hits": 0,
"total_swinging_strikes": 1,
"total_swings": 2,
"total_swings_inside_zone": 0,
"total_swings_made_contact": 1,
"total_swings_outside_zone": 2,
"total_triples": 0,
"triple_slash": ".000/.000/.000 (.000)",
"whiff_rate": 0.5,
"z_contact_rate": 0.0,
"z_swing_rate": 0.0,
"zone_rate": 0.25,
"pitch_type": ["SL"],
}
pfx_metrics_career_vsRHB_SL_dict = {
"avg": 0.0,
"avg_break_angle": 8.4,
"avg_break_length": 9.6,
"avg_break_y": 24.0,
"avg_extension": 5.88,
"avg_hit_distance": 0.0,
"avg_launch_angle": 0.0,
"avg_launch_speed": 0.0,
"avg_pfx_x": 3.27,
"avg_pfx_z": -1.24,
"avg_plate_time": 0.46,
"avg_px": 0.55,
"avg_pz": 2.72,
"avg_speed": 81.9,
"avg_spin_direction": 70.0,
"avg_spin_rate": 2277.0,
"bad_whiff_rate": 0.0,
"barrel_rate": 0.0,
"bat_stand": "R",
"bb_rate": 0.0,
"called_strike_rate": 1.0,
"contact_rate": 0.0,
"csw_rate": 1.0,
"fly_ball_rate": 0.0,
"ground_ball_rate": 0.0,
"hard_hit_rate": 0.0,
"hr_per_fb": 0.0,
"iso": 0.0,
"k_rate": 0.0,
"line_drive_rate": 0.0,
"max_launch_speed": 0.0,
"medium_hit_rate": 0.0,
"mlb_id": 571882,
"o_contact_rate": 0.0,
"o_swing_rate": 0.0,
"obp": 0.0,
"ops": 0.0,
"p_throws": "R",
"percent": 0.2,
"pitch_type_int": 32768,
"popup_rate": 0.0,
"slg": 0.0,
"soft_hit_rate": 0.0,
"swing_rate": 0.0,
"swinging_strike_rate": 0.0,
"total_at_bats": 0,
"total_bad_whiffs": 0,
"total_balls_in_play": 0,
"total_barrels": 0,
"total_bb": 0,
"total_called_strikes": 1,
"total_contact_inside_zone": 0,
"total_contact_outside_zone": 0,
"total_doubles": 0,
"total_errors": 0,
"total_fly_balls": 0,
"total_ground_balls": 0,
"total_hard_hits": 0,
"total_hbp": 0,
"total_hits": 0,
"total_homeruns": 0,
"total_ibb": 0,
"total_inside_strike_zone": 1,
"total_k": 0,
"total_line_drives": 0,
"total_medium_hits": 0,
"total_outs": 0,
"total_outside_strike_zone": 0,
"total_pa": 0,
"total_pitches": 1,
"total_popups": 0,
"total_sac_fly": 0,
"total_sac_hit": 0,
"total_singles": 0,
"total_soft_hits": 0,
"total_swinging_strikes": 0,
"total_swings": 0,
"total_swings_inside_zone": 0,
"total_swings_made_contact": 0,
"total_swings_outside_zone": 0,
"total_triples": 0,
"triple_slash": ".000/.000/.000 (.000)",
"whiff_rate": 0.0,
"z_contact_rate": 0.0,
"z_swing_rate": 0.0,
"zone_rate": 1.0,
"pitch_type": ["SL"],
}
pfx_metrics_career_vsLHB_SL_dict = {
"avg": 0.0,
"avg_break_angle": 5.2,
"avg_break_length": 9.6,
"avg_break_y": 24.0,
"avg_extension": 6.14,
"avg_hit_distance": 0.0,
"avg_launch_angle": 0.0,
"avg_launch_speed": 0.0,
"avg_pfx_x": 1.96,
"avg_pfx_z": -2.15,
"avg_plate_time": 0.447,
"avg_px": 0.36,
"avg_pz": 0.89,
"avg_speed": 84.3,
"avg_spin_direction": 41.0,
"avg_spin_rate": 2282.0,
"bad_whiff_rate": 0.5,
"barrel_rate": 0.0,
"bat_stand": "L",
"bb_rate": 0.0,
"called_strike_rate": 0.0,
"contact_rate": 0.5,
"csw_rate": 0.333,
"fly_ball_rate": 0.0,
"ground_ball_rate": 0.0,
"hard_hit_rate": 0.0,
"hr_per_fb": 0.0,
"iso": 0.0,
"k_rate": 1.0,
"line_drive_rate": 0.0,
"max_launch_speed": 0.0,
"medium_hit_rate": 0.0,
"mlb_id": 571882,
"o_contact_rate": 0.5,
"o_swing_rate": 0.667,
"obp": 0.0,
"ops": 0.0,
"p_throws": "R",
"percent": 0.25,
"pitch_type_int": 32768,
"popup_rate": 0.0,
"slg": 0.0,
"soft_hit_rate": 0.0,
"swing_rate": 0.667,
"swinging_strike_rate": 0.333,
"total_at_bats": 1,
"total_bad_whiffs": 1,
"total_balls_in_play": 0,
"total_barrels": 0,
"total_bb": 0,
"total_called_strikes": 0,
"total_contact_inside_zone": 0,
"total_contact_outside_zone": 1,
"total_doubles": 0,
"total_errors": 0,
"total_fly_balls": 0,
"total_ground_balls": 0,
"total_hard_hits": 0,
"total_hbp": 0,
"total_hits": 0,
"total_homeruns": 0,
"total_ibb": 0,
"total_inside_strike_zone": 0,
"total_k": 1,
"total_line_drives": 0,
"total_medium_hits": 0,
"total_outs": 1,
"total_outside_strike_zone": 3,
"total_pa": 1,
"total_pitches": 3,
"total_popups": 0,
"total_sac_fly": 0,
"total_sac_hit": 0,
"total_singles": 0,
"total_soft_hits": 0,
"total_swinging_strikes": 1,
"total_swings": 2,
"total_swings_inside_zone": 0,
"total_swings_made_contact": 1,
"total_swings_outside_zone": 2,
"total_triples": 0,
"triple_slash": ".000/.000/.000 (.000)",
"whiff_rate": 0.5,
"z_contact_rate": 0.0,
"z_swing_rate": 0.0,
"zone_rate": 0.0,
"pitch_type": ["SL"],
}
pitchfx_metrics_set_vsALL_for_year = {
"pitch_type": ["CH", "CU", "FF", "SL"],
"pitch_type_int": 32803,
"total_pitches": 17,
"total_pfx_removed": 0,
"metrics_combined": pfx_metrics_career_vsALL_combined_dict,
"metrics_by_pitch_type": {
"FF": pfx_metrics_career_vsALL_FF_dict,
"CU": pfx_metrics_career_vsALL_CU_dict,
"SL": pfx_metrics_career_vsALL_SL_dict,
"CH": pfx_metrics_career_vsALL_CH_dict,
},
}
pitchfx_metrics_set_vsRHB_for_year = {
"pitch_type": ["CU", "FF", "SL"],
"pitch_type_int": 32802,
"total_pitches": 5,
"total_pfx_removed": 0,
"metrics_combined": pfx_metrics_career_vsRHB_combined_dict,
"metrics_by_pitch_type": {
"FF": pfx_metrics_career_vsRHB_FF_dict,
"CU": pfx_metrics_career_vsRHB_CU_dict,
"SL": pfx_metrics_career_vsRHB_SL_dict,
},
}
pitchfx_metrics_set_vsLHB_for_year = {
"pitch_type": ["CH", "CU", "FF", "SL"],
"pitch_type_int": 32803,
"total_pitches": 12,
"total_pfx_removed": 0,
"metrics_combined": pfx_metrics_career_vsLHB_combined_dict,
"metrics_by_pitch_type": {
"FF": pfx_metrics_career_vsLHB_FF_dict,
"CU": pfx_metrics_career_vsLHB_CU_dict,
"SL": pfx_metrics_career_vsLHB_SL_dict,
"CH": pfx_metrics_career_vsLHB_CH_dict,
},
}
career_percentiles_vsALL_dict = [
{
"pitch_type": "FF",
"avg_speed": (94.0, 54.0),
"ops": (0.0, 100.0),
"zone_rate": (0.167, 2.1),
"o_swing_rate": (0.2, 15.4),
"whiff_rate": (0.0, 1.3),
"bad_whiff_rate": (0.0, 100.0),
"contact_rate": (1.0, 1.4),
"ground_ball_rate": (0.0, 100.0),
"barrel_rate": (0.0, 100.0),
"avg_exit_velocity": (85.3, 100.0),
},
{
"pitch_type": "CU",
"avg_speed": (76.2, 22.2),
"ops": (0.0, 100.0),
"zone_rate": (0.5, 99.4),
"o_swing_rate": (0.0, 1.0),
"whiff_rate": (0.0, 1.4),
"bad_whiff_rate": (0.0, 100.0),
"contact_rate": (0.0, 100.0),
"ground_ball_rate": (0.0, 100.0),
"barrel_rate": (0.0, 100.0),
"avg_exit_velocity": (0.0, 100.0),
},
{
"pitch_type": "SL",
"avg_speed": (83.7, 31.1),
"ops": (0.0, 100.0),
"zone_rate": (0.25, 21.3),
"o_swing_rate": (0.667, 100.0),
"whiff_rate": (0.5, 93.1),
"bad_whiff_rate": (0.5, 100.0),
"contact_rate": (0.5, 93.3),
"ground_ball_rate": (0.0, 100.0),
"barrel_rate": (0.0, 100.0),
"avg_exit_velocity": (0.0, 100.0),
},
{
"pitch_type": "CH",
"avg_speed": (85.8, 53.1),
"ops": (0.0, 100.0),
"zone_rate": (1.0, 100.0),
"o_swing_rate": (0.0, 1.4),
"whiff_rate": (0.5, 98.3),
"bad_whiff_rate": (0.0, 100.0),
"contact_rate": (0.5, 98.2),
"ground_ball_rate": (0.0, 100.0),
"barrel_rate": (0.0, 100.0),
"avg_exit_velocity": (0.0, 100.0),
},
]
career_percentiles_vsRHB_dict = [
{
"pitch_type": "FF",
"avg_speed": (94.6, 62.1),
"ops": (0.0, 100.0),
"zone_rate": (0.333, 23.2),
"o_swing_rate": (0.5, 99.0),
"whiff_rate": (0.0, 1.3),
"bad_whiff_rate": (0.0, 100.0),
"contact_rate": (1.0, 1.4),
"ground_ball_rate": (0.0, 100.0),
"barrel_rate": (0.0, 100.0),
"avg_exit_velocity": (85.3, 100.0),
},
{
"pitch_type": "CU",
"avg_speed": (75.6, 16.2),
"ops": (0.0, 100.0),
"zone_rate": (0.0, 1.1),
"o_swing_rate": (0.0, 1.0),
"whiff_rate": (0.0, 1.4),
"bad_whiff_rate": (0.0, 100.0),
"contact_rate": (0.0, 100.0),
"ground_ball_rate": (0.0, 100.0),
"barrel_rate": (0.0, 100.0),
"avg_exit_velocity": (0.0, 100.0),
},
{
"pitch_type": "SL",
"avg_speed": (81.9, 14.1),
"ops": (0.0, 100.0),
"zone_rate": (1.0, 100.0),
"o_swing_rate": (0.0, 1.3),
"whiff_rate": (0.0, 1.0),
"bad_whiff_rate": (0.0, 100.0),
"contact_rate": (0.0, 100.0),
"ground_ball_rate": (0.0, 100.0),
"barrel_rate": (0.0, 100.0),
"avg_exit_velocity": (0.0, 100.0),
},
]
career_percentiles_vsLHB_dict = [
{
"pitch_type": "CH",
"avg_speed": (85.8, 53.1),
"ops": (0.0, 100.0),
"zone_rate": (1.0, 100.0),
"o_swing_rate": (0.0, 1.4),
"whiff_rate": (0.5, 98.3),
"bad_whiff_rate": (0.0, 100.0),
"contact_rate": (0.5, 98.2),
"ground_ball_rate": (0.0, 100.0),
"barrel_rate": (0.0, 100.0),
"avg_exit_velocity": (0.0, 100.0),
},
{
"pitch_type": "CU",
"avg_speed": (76.4, 23.2),
"ops": (0.0, 100.0),
"zone_rate": (0.667, 100.0),
"o_swing_rate": (0.0, 1.0),
"whiff_rate": (0.0, 1.4),
"bad_whiff_rate": (0.0, 100.0),
"contact_rate": (0.0, 100.0),
"ground_ball_rate": (0.0, 100.0),
"barrel_rate": (0.0, 100.0),
"avg_exit_velocity": (0.0, 100.0),
},
{
"pitch_type": "FF",
"avg_speed": (93.4, 45.2),
"ops": (0.0, 100.0),
"zone_rate": (0.0, 1.3),
"o_swing_rate": (0.0, 1.0),
"whiff_rate": (0.0, 1.3),
"bad_whiff_rate": (0.0, 100.0),
"contact_rate": (0.0, 100.0),
"ground_ball_rate": (0.0, 100.0),
"barrel_rate": (0.0, 100.0),
"avg_exit_velocity": (0.0, 100.0),
},
{
"pitch_type": "SL",
"avg_speed": (84.3, 38.0),
"ops": (0.0, 100.0),
"zone_rate": (0.0, 1.3),
"o_swing_rate": (0.667, 100.0),
"whiff_rate": (0.5, 93.1),
"bad_whiff_rate": (0.5, 100.0),
"contact_rate": (0.5, 93.3),
"ground_ball_rate": (0.0, 100.0),
"barrel_rate": (0.0, 100.0),
"avg_exit_velocity": (0.0, 100.0),
},
]
player_data = PlayerData(vig_app, 571882)
assert (
player_data.pfx_pitching_metrics_vs_all_for_career.metrics_combined.as_dict()
== pfx_metrics_career_vsALL_combined_dict
)
assert (
player_data.pfx_pitching_metrics_vs_all_for_career.metrics_by_pitch_type["CH"].as_dict()
== pfx_metrics_career_vsALL_CH_dict
)
assert (
player_data.pfx_pitching_metrics_vs_all_for_career.metrics_by_pitch_type["CU"].as_dict()
== pfx_metrics_career_vsALL_CU_dict
)
assert (
player_data.pfx_pitching_metrics_vs_all_for_career.metrics_by_pitch_type["FF"].as_dict()
== pfx_metrics_career_vsALL_FF_dict
)
assert (
player_data.pfx_pitching_metrics_vs_all_for_career.metrics_by_pitch_type["SL"].as_dict()
== pfx_metrics_career_vsALL_SL_dict
)
assert player_data.percentiles_for_pitch_types_for_career == career_percentiles_vsALL_dict
assert (
player_data.pfx_pitching_metrics_vs_rhb_for_career.metrics_combined.as_dict()
== pfx_metrics_career_vsRHB_combined_dict
)
assert (
player_data.pfx_pitching_metrics_vs_rhb_for_career.metrics_by_pitch_type["CU"].as_dict()
== pfx_metrics_career_vsRHB_CU_dict
)
assert (
player_data.pfx_pitching_metrics_vs_rhb_for_career.metrics_by_pitch_type["FF"].as_dict()
== pfx_metrics_career_vsRHB_FF_dict
)
assert (
player_data.pfx_pitching_metrics_vs_rhb_for_career.metrics_by_pitch_type["SL"].as_dict()
== pfx_metrics_career_vsRHB_SL_dict
)
assert player_data.percentiles_for_pitch_types_vs_rhb_for_career == career_percentiles_vsRHB_dict
assert (
player_data.pfx_pitching_metrics_vs_lhb_for_career.metrics_combined.as_dict()
== pfx_metrics_career_vsLHB_combined_dict
)
assert (
player_data.pfx_pitching_metrics_vs_lhb_for_career.metrics_by_pitch_type["CH"].as_dict()
== pfx_metrics_career_vsLHB_CH_dict
)
assert (
player_data.pfx_pitching_metrics_vs_lhb_for_career.metrics_by_pitch_type["CU"].as_dict()
== pfx_metrics_career_vsLHB_CU_dict
)
assert (
player_data.pfx_pitching_metrics_vs_lhb_for_career.metrics_by_pitch_type["FF"].as_dict()
== pfx_metrics_career_vsLHB_FF_dict
)
assert (
player_data.pfx_pitching_metrics_vs_lhb_for_career.metrics_by_pitch_type["SL"].as_dict()
== pfx_metrics_career_vsLHB_SL_dict
)
assert player_data.percentiles_for_pitch_types_vs_lhb_for_career == career_percentiles_vsLHB_dict
assert player_data.pfx_pitching_metrics_vs_all_by_year[2019].as_dict() == pitchfx_metrics_set_vsALL_for_year
assert player_data.percentiles_for_pitch_types_by_year[2019] == career_percentiles_vsALL_dict
assert player_data.pfx_pitching_metrics_vs_rhb_by_year[2019].as_dict() == pitchfx_metrics_set_vsRHB_for_year
assert player_data.percentiles_for_pitch_types_vs_rhb_by_year[2019] == career_percentiles_vsRHB_dict
assert player_data.pfx_pitching_metrics_vs_lhb_by_year[2019].as_dict() == pitchfx_metrics_set_vsLHB_for_year
assert player_data.percentiles_for_pitch_types_vs_lhb_by_year[2019] == career_percentiles_vsLHB_dict
assert player_data.get_pfx_pitching_metrics_vs_all_for_season(2019).as_dict() == pitchfx_metrics_set_vsALL_for_year
assert player_data.get_pfx_pitching_metrics_vs_rhb_for_season(2019).as_dict() == pitchfx_metrics_set_vsRHB_for_year
assert player_data.get_pfx_pitching_metrics_vs_lhb_for_season(2019).as_dict() == pitchfx_metrics_set_vsLHB_for_year
assert (
player_data.get_pfx_pitching_metrics_vs_all_for_game(BBREF_GAME_ID).as_dict()
== pitchfx_metrics_set_vsALL_for_year
)
assert (
player_data.get_pfx_pitching_metrics_vs_rhb_for_game(BBREF_GAME_ID).as_dict()
== pitchfx_metrics_set_vsRHB_for_year
)
assert (
player_data.get_pfx_pitching_metrics_vs_lhb_for_game(BBREF_GAME_ID).as_dict()
== pitchfx_metrics_set_vsLHB_for_year
)
pfx_career_data = player_data.get_all_pfx_career_data()
assert pfx_career_data["all"]["metrics"].as_dict() == pitchfx_metrics_set_vsALL_for_year
assert pfx_career_data["all"]["percentiles"] == career_percentiles_vsALL_dict
assert pfx_career_data["rhb"]["metrics"].as_dict() == pitchfx_metrics_set_vsRHB_for_year
assert pfx_career_data["rhb"]["percentiles"] == career_percentiles_vsRHB_dict
assert pfx_career_data["lhb"]["metrics"].as_dict() == pitchfx_metrics_set_vsLHB_for_year
assert pfx_career_data["lhb"]["percentiles"] == career_percentiles_vsLHB_dict
pfx_yearly_data = player_data.get_all_pfx_yearly_data()
assert pfx_yearly_data["all"]["metrics"][2019].as_dict() == pitchfx_metrics_set_vsALL_for_year
assert pfx_yearly_data["all"]["percentiles"][2019] == career_percentiles_vsALL_dict
assert pfx_yearly_data["rhb"]["metrics"][2019].as_dict() == pitchfx_metrics_set_vsRHB_for_year
assert pfx_yearly_data["rhb"]["percentiles"][2019] == career_percentiles_vsRHB_dict
assert pfx_yearly_data["lhb"]["metrics"][2019].as_dict() == pitchfx_metrics_set_vsLHB_for_year
assert pfx_yearly_data["lhb"]["percentiles"][2019] == career_percentiles_vsLHB_dict
def test_pitchfx_batting_metrics_career(vig_app):
player_data = PlayerData(vig_app, 600303)
assert player_data.pfx_batting_metrics_vs_all_for_career
assert player_data.pfx_batting_metrics_vs_rhp_for_career
assert player_data.pfx_batting_metrics_vs_lhp_for_career
assert player_data.pfx_batting_metrics_vs_rhp_as_lhb_for_career
assert player_data.pfx_batting_metrics_vs_lhp_as_lhb_for_career
assert player_data.pfx_batting_metrics_by_year
assert player_data.get_pfx_batting_metrics_vs_all_for_game(BBREF_GAME_ID)
assert player_data.get_pfx_batting_metrics_vs_rhp_for_game(BBREF_GAME_ID)
assert player_data.get_pfx_batting_metrics_vs_lhp_for_game(BBREF_GAME_ID)
assert player_data.get_pfx_batting_metrics_vs_rhp_as_lhb_for_game(BBREF_GAME_ID)
assert player_data.get_pfx_batting_metrics_vs_lhp_as_lhb_for_game(BBREF_GAME_ID)
assert player_data.get_all_pfx_batting_career_data()
assert player_data.get_all_pfx_batting_yearly_data()
player_data = PlayerData(vig_app, 545361)
assert player_data.pfx_batting_metrics_vs_rhp_as_rhb_for_career
assert player_data.pfx_batting_metrics_vs_lhp_as_rhb_for_career
assert player_data.get_pfx_batting_metrics_vs_rhp_as_rhb_for_game(BBREF_GAME_ID)
assert player_data.get_pfx_batting_metrics_vs_lhp_as_rhb_for_game(BBREF_GAME_ID)
| 31.188309 | 119 | 0.53383 | 10,164 | 74,696 | 3.514364 | 0.034829 | 0.026484 | 0.045689 | 0.009406 | 0.934882 | 0.921137 | 0.902968 | 0.875448 | 0.855431 | 0.820437 | 0 | 0.082389 | 0.316068 | 74,696 | 2,394 | 120 | 31.201337 | 0.616811 | 0.002704 | 0 | 0.81442 | 0 | 0 | 0.364219 | 0.061632 | 0 | 0 | 0 | 0 | 0.030717 | 1 | 0.001706 | false | 0 | 0.00128 | 0 | 0.002986 | 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 |
041ab59dafa0ddd4f00e2e49c73e0f7eedbe61ca | 117 | py | Python | test/declarative/__init__.py | thatch/BitSwanPump | 98a5b8d09f9b59d5361611cee0bd45e7b4c69e3f | [
"BSD-3-Clause"
] | null | null | null | test/declarative/__init__.py | thatch/BitSwanPump | 98a5b8d09f9b59d5361611cee0bd45e7b4c69e3f | [
"BSD-3-Clause"
] | null | null | null | test/declarative/__init__.py | thatch/BitSwanPump | 98a5b8d09f9b59d5361611cee0bd45e7b4c69e3f | [
"BSD-3-Clause"
] | null | null | null | from .test_declarative_datetime import *
from .test_declarative_config import *
from .test_declarative_join import *
| 29.25 | 40 | 0.846154 | 15 | 117 | 6.2 | 0.466667 | 0.258065 | 0.612903 | 0.537634 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.102564 | 117 | 3 | 41 | 39 | 0.885714 | 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 |
04238d85b14373a0224f48564481d093815ece09 | 154 | py | Python | algorithms/refinement/parameterisation/__init__.py | toastisme/dials | 6bc8ababc33bfe334513677f8adb65c0e90003f3 | [
"BSD-3-Clause"
] | 58 | 2015-10-15T09:28:20.000Z | 2022-03-28T20:09:38.000Z | algorithms/refinement/parameterisation/__init__.py | toastisme/dials | 6bc8ababc33bfe334513677f8adb65c0e90003f3 | [
"BSD-3-Clause"
] | 1,741 | 2015-11-24T08:17:02.000Z | 2022-03-31T15:46:42.000Z | algorithms/refinement/parameterisation/__init__.py | toastisme/dials | 6bc8ababc33bfe334513677f8adb65c0e90003f3 | [
"BSD-3-Clause"
] | 45 | 2015-10-14T13:44:16.000Z | 2022-03-22T14:45:56.000Z | from .configure import build_prediction_parameterisation, phil_scope, phil_str
__all__ = ["build_prediction_parameterisation", "phil_scope", "phil_str"]
| 38.5 | 78 | 0.831169 | 18 | 154 | 6.444444 | 0.555556 | 0.258621 | 0.534483 | 0.603448 | 0.810345 | 0.810345 | 0.810345 | 0 | 0 | 0 | 0 | 0 | 0.077922 | 154 | 3 | 79 | 51.333333 | 0.816901 | 0 | 0 | 0 | 0 | 0 | 0.331169 | 0.214286 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 1 | 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 | 0 | 0 | 0 | 9 |
04561c617f4fcdaaef29046bc78b08467400aa63 | 105 | py | Python | CodeHS/Basic Python and Console Interaction/OperatorPrecedence.py | Kev-in123/ICS2O7 | 425c59975d4ce6aa0937fd8715b51d04487e4fa9 | [
"MIT"
] | 2 | 2021-08-10T18:16:08.000Z | 2021-09-26T19:49:26.000Z | CodeHS/Basic Python and Console Interaction/OperatorPrecedence.py | Kev-in123/ICS2O7 | 425c59975d4ce6aa0937fd8715b51d04487e4fa9 | [
"MIT"
] | null | null | null | CodeHS/Basic Python and Console Interaction/OperatorPrecedence.py | Kev-in123/ICS2O7 | 425c59975d4ce6aa0937fd8715b51d04487e4fa9 | [
"MIT"
] | null | null | null | print(-5 + 4 * 2 % 3 - 1)
print(-5 + 4 * 2 % (3 - 1))
x = 3
y = 7
z = x * - (y - 1) % 4
print(z) | 13.125 | 28 | 0.333333 | 23 | 105 | 1.521739 | 0.434783 | 0.342857 | 0.4 | 0.457143 | 0.571429 | 0.571429 | 0 | 0 | 0 | 0 | 0 | 0.225806 | 0.409524 | 105 | 8 | 29 | 13.125 | 0.33871 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | 1 | null | 1 | 1 | 1 | 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 | 1 | 0 | 9 |
9bd989cbe8c55026e97a5c99fb059fc6553f151e | 128 | py | Python | python/testData/completion/heavyStarPropagation/lib/_pkg0/_pkg0_0/_pkg0_0_0/_pkg0_0_0_0/_pkg0_0_0_0_0/_mod0_0_0_0_0_2.py | jnthn/intellij-community | 8fa7c8a3ace62400c838e0d5926a7be106aa8557 | [
"Apache-2.0"
] | 2 | 2019-04-28T07:48:50.000Z | 2020-12-11T14:18:08.000Z | python/testData/completion/heavyStarPropagation/lib/_pkg0/_pkg0_0/_pkg0_0_0/_pkg0_0_0_0/_pkg0_0_0_0_0/_mod0_0_0_0_0_2.py | jnthn/intellij-community | 8fa7c8a3ace62400c838e0d5926a7be106aa8557 | [
"Apache-2.0"
] | 173 | 2018-07-05T13:59:39.000Z | 2018-08-09T01:12:03.000Z | python/testData/completion/heavyStarPropagation/lib/_pkg0/_pkg0_0/_pkg0_0_0/_pkg0_0_0_0/_pkg0_0_0_0_0/_mod0_0_0_0_0_2.py | jnthn/intellij-community | 8fa7c8a3ace62400c838e0d5926a7be106aa8557 | [
"Apache-2.0"
] | 2 | 2020-03-15T08:57:37.000Z | 2020-04-07T04:48:14.000Z | name0_0_0_0_0_2_0 = None
name0_0_0_0_0_2_1 = None
name0_0_0_0_0_2_2 = None
name0_0_0_0_0_2_3 = None
name0_0_0_0_0_2_4 = None | 14.222222 | 24 | 0.820313 | 40 | 128 | 1.875 | 0.175 | 0.4 | 0.4 | 0.533333 | 0.88 | 0.88 | 0.746667 | 0 | 0 | 0 | 0 | 0.318182 | 0.140625 | 128 | 9 | 25 | 14.222222 | 0.363636 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 1 | 1 | 1 | 1 | 1 | 1 | 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 | 10 |
9bea4c5d5eb5d7eefe41ac3b491ac2cc4c8b1dd3 | 38,686 | py | Python | src/main/thrift/gen-py/ThriftServer/ThriftServer.py | huaxuechensu/DataXServer | 8e75f622eab9e33f438fd64ce6aa489cbcdd1f12 | [
"Apache-2.0"
] | 1 | 2018-07-17T08:33:30.000Z | 2018-07-17T08:33:30.000Z | src/main/thrift/gen-py/ThriftServer/ThriftServer.py | huaxuechensu/DataXServer | 8e75f622eab9e33f438fd64ce6aa489cbcdd1f12 | [
"Apache-2.0"
] | null | null | null | src/main/thrift/gen-py/ThriftServer/ThriftServer.py | huaxuechensu/DataXServer | 8e75f622eab9e33f438fd64ce6aa489cbcdd1f12 | [
"Apache-2.0"
] | null | null | null | #
# Autogenerated by Thrift Compiler (0.10.0)
#
# DO NOT EDIT UNLESS YOU ARE SURE THAT YOU KNOW WHAT YOU ARE DOING
#
# options string: py
#
from thrift.Thrift import TType, TMessageType, TFrozenDict, TException, TApplicationException
from thrift.protocol.TProtocol import TProtocolException
import sys
import logging
from .ttypes import *
from thrift.Thrift import TProcessor
from thrift.transport import TTransport
class Iface(object):
def submitJob(self, jobConfPath):
"""
Parameters:
- jobConfPath
"""
pass
def submitJobWithParams(self, jobConfPath, params):
"""
Parameters:
- jobConfPath
- params
"""
pass
def getJobStatus(self, jobId):
"""
Parameters:
- jobId
"""
pass
def cancelJob(self, jobId):
"""
Parameters:
- jobId
"""
pass
def getJobResult(self, jobId):
"""
Parameters:
- jobId
"""
pass
def getJobCost(self, jobId):
"""
Parameters:
- jobId
"""
pass
class Client(Iface):
def __init__(self, iprot, oprot=None):
self._iprot = self._oprot = iprot
if oprot is not None:
self._oprot = oprot
self._seqid = 0
def submitJob(self, jobConfPath):
"""
Parameters:
- jobConfPath
"""
self.send_submitJob(jobConfPath)
return self.recv_submitJob()
def send_submitJob(self, jobConfPath):
self._oprot.writeMessageBegin('submitJob', TMessageType.CALL, self._seqid)
args = submitJob_args()
args.jobConfPath = jobConfPath
args.write(self._oprot)
self._oprot.writeMessageEnd()
self._oprot.trans.flush()
def recv_submitJob(self):
iprot = self._iprot
(fname, mtype, rseqid) = iprot.readMessageBegin()
if mtype == TMessageType.EXCEPTION:
x = TApplicationException()
x.read(iprot)
iprot.readMessageEnd()
raise x
result = submitJob_result()
result.read(iprot)
iprot.readMessageEnd()
if result.success is not None:
return result.success
raise TApplicationException(TApplicationException.MISSING_RESULT, "submitJob failed: unknown result")
def submitJobWithParams(self, jobConfPath, params):
"""
Parameters:
- jobConfPath
- params
"""
self.send_submitJobWithParams(jobConfPath, params)
return self.recv_submitJobWithParams()
def send_submitJobWithParams(self, jobConfPath, params):
self._oprot.writeMessageBegin('submitJobWithParams', TMessageType.CALL, self._seqid)
args = submitJobWithParams_args()
args.jobConfPath = jobConfPath
args.params = params
args.write(self._oprot)
self._oprot.writeMessageEnd()
self._oprot.trans.flush()
def recv_submitJobWithParams(self):
iprot = self._iprot
(fname, mtype, rseqid) = iprot.readMessageBegin()
if mtype == TMessageType.EXCEPTION:
x = TApplicationException()
x.read(iprot)
iprot.readMessageEnd()
raise x
result = submitJobWithParams_result()
result.read(iprot)
iprot.readMessageEnd()
if result.success is not None:
return result.success
raise TApplicationException(TApplicationException.MISSING_RESULT, "submitJobWithParams failed: unknown result")
def getJobStatus(self, jobId):
"""
Parameters:
- jobId
"""
self.send_getJobStatus(jobId)
return self.recv_getJobStatus()
def send_getJobStatus(self, jobId):
self._oprot.writeMessageBegin('getJobStatus', TMessageType.CALL, self._seqid)
args = getJobStatus_args()
args.jobId = jobId
args.write(self._oprot)
self._oprot.writeMessageEnd()
self._oprot.trans.flush()
def recv_getJobStatus(self):
iprot = self._iprot
(fname, mtype, rseqid) = iprot.readMessageBegin()
if mtype == TMessageType.EXCEPTION:
x = TApplicationException()
x.read(iprot)
iprot.readMessageEnd()
raise x
result = getJobStatus_result()
result.read(iprot)
iprot.readMessageEnd()
if result.success is not None:
return result.success
raise TApplicationException(TApplicationException.MISSING_RESULT, "getJobStatus failed: unknown result")
def cancelJob(self, jobId):
"""
Parameters:
- jobId
"""
self.send_cancelJob(jobId)
return self.recv_cancelJob()
def send_cancelJob(self, jobId):
self._oprot.writeMessageBegin('cancelJob', TMessageType.CALL, self._seqid)
args = cancelJob_args()
args.jobId = jobId
args.write(self._oprot)
self._oprot.writeMessageEnd()
self._oprot.trans.flush()
def recv_cancelJob(self):
iprot = self._iprot
(fname, mtype, rseqid) = iprot.readMessageBegin()
if mtype == TMessageType.EXCEPTION:
x = TApplicationException()
x.read(iprot)
iprot.readMessageEnd()
raise x
result = cancelJob_result()
result.read(iprot)
iprot.readMessageEnd()
if result.success is not None:
return result.success
raise TApplicationException(TApplicationException.MISSING_RESULT, "cancelJob failed: unknown result")
def getJobResult(self, jobId):
"""
Parameters:
- jobId
"""
self.send_getJobResult(jobId)
return self.recv_getJobResult()
def send_getJobResult(self, jobId):
self._oprot.writeMessageBegin('getJobResult', TMessageType.CALL, self._seqid)
args = getJobResult_args()
args.jobId = jobId
args.write(self._oprot)
self._oprot.writeMessageEnd()
self._oprot.trans.flush()
def recv_getJobResult(self):
iprot = self._iprot
(fname, mtype, rseqid) = iprot.readMessageBegin()
if mtype == TMessageType.EXCEPTION:
x = TApplicationException()
x.read(iprot)
iprot.readMessageEnd()
raise x
result = getJobResult_result()
result.read(iprot)
iprot.readMessageEnd()
if result.success is not None:
return result.success
raise TApplicationException(TApplicationException.MISSING_RESULT, "getJobResult failed: unknown result")
def getJobCost(self, jobId):
"""
Parameters:
- jobId
"""
self.send_getJobCost(jobId)
return self.recv_getJobCost()
def send_getJobCost(self, jobId):
self._oprot.writeMessageBegin('getJobCost', TMessageType.CALL, self._seqid)
args = getJobCost_args()
args.jobId = jobId
args.write(self._oprot)
self._oprot.writeMessageEnd()
self._oprot.trans.flush()
def recv_getJobCost(self):
iprot = self._iprot
(fname, mtype, rseqid) = iprot.readMessageBegin()
if mtype == TMessageType.EXCEPTION:
x = TApplicationException()
x.read(iprot)
iprot.readMessageEnd()
raise x
result = getJobCost_result()
result.read(iprot)
iprot.readMessageEnd()
if result.success is not None:
return result.success
raise TApplicationException(TApplicationException.MISSING_RESULT, "getJobCost failed: unknown result")
class Processor(Iface, TProcessor):
def __init__(self, handler):
self._handler = handler
self._processMap = {}
self._processMap["submitJob"] = Processor.process_submitJob
self._processMap["submitJobWithParams"] = Processor.process_submitJobWithParams
self._processMap["getJobStatus"] = Processor.process_getJobStatus
self._processMap["cancelJob"] = Processor.process_cancelJob
self._processMap["getJobResult"] = Processor.process_getJobResult
self._processMap["getJobCost"] = Processor.process_getJobCost
def process(self, iprot, oprot):
(name, type, seqid) = iprot.readMessageBegin()
if name not in self._processMap:
iprot.skip(TType.STRUCT)
iprot.readMessageEnd()
x = TApplicationException(TApplicationException.UNKNOWN_METHOD, 'Unknown function %s' % (name))
oprot.writeMessageBegin(name, TMessageType.EXCEPTION, seqid)
x.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
return
else:
self._processMap[name](self, seqid, iprot, oprot)
return True
def process_submitJob(self, seqid, iprot, oprot):
args = submitJob_args()
args.read(iprot)
iprot.readMessageEnd()
result = submitJob_result()
try:
result.success = self._handler.submitJob(args.jobConfPath)
msg_type = TMessageType.REPLY
except (TTransport.TTransportException, KeyboardInterrupt, SystemExit):
raise
except Exception as ex:
msg_type = TMessageType.EXCEPTION
logging.exception(ex)
result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error')
oprot.writeMessageBegin("submitJob", msg_type, seqid)
result.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
def process_submitJobWithParams(self, seqid, iprot, oprot):
args = submitJobWithParams_args()
args.read(iprot)
iprot.readMessageEnd()
result = submitJobWithParams_result()
try:
result.success = self._handler.submitJobWithParams(args.jobConfPath, args.params)
msg_type = TMessageType.REPLY
except (TTransport.TTransportException, KeyboardInterrupt, SystemExit):
raise
except Exception as ex:
msg_type = TMessageType.EXCEPTION
logging.exception(ex)
result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error')
oprot.writeMessageBegin("submitJobWithParams", msg_type, seqid)
result.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
def process_getJobStatus(self, seqid, iprot, oprot):
args = getJobStatus_args()
args.read(iprot)
iprot.readMessageEnd()
result = getJobStatus_result()
try:
result.success = self._handler.getJobStatus(args.jobId)
msg_type = TMessageType.REPLY
except (TTransport.TTransportException, KeyboardInterrupt, SystemExit):
raise
except Exception as ex:
msg_type = TMessageType.EXCEPTION
logging.exception(ex)
result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error')
oprot.writeMessageBegin("getJobStatus", msg_type, seqid)
result.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
def process_cancelJob(self, seqid, iprot, oprot):
args = cancelJob_args()
args.read(iprot)
iprot.readMessageEnd()
result = cancelJob_result()
try:
result.success = self._handler.cancelJob(args.jobId)
msg_type = TMessageType.REPLY
except (TTransport.TTransportException, KeyboardInterrupt, SystemExit):
raise
except Exception as ex:
msg_type = TMessageType.EXCEPTION
logging.exception(ex)
result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error')
oprot.writeMessageBegin("cancelJob", msg_type, seqid)
result.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
def process_getJobResult(self, seqid, iprot, oprot):
args = getJobResult_args()
args.read(iprot)
iprot.readMessageEnd()
result = getJobResult_result()
try:
result.success = self._handler.getJobResult(args.jobId)
msg_type = TMessageType.REPLY
except (TTransport.TTransportException, KeyboardInterrupt, SystemExit):
raise
except Exception as ex:
msg_type = TMessageType.EXCEPTION
logging.exception(ex)
result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error')
oprot.writeMessageBegin("getJobResult", msg_type, seqid)
result.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
def process_getJobCost(self, seqid, iprot, oprot):
args = getJobCost_args()
args.read(iprot)
iprot.readMessageEnd()
result = getJobCost_result()
try:
result.success = self._handler.getJobCost(args.jobId)
msg_type = TMessageType.REPLY
except (TTransport.TTransportException, KeyboardInterrupt, SystemExit):
raise
except Exception as ex:
msg_type = TMessageType.EXCEPTION
logging.exception(ex)
result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error')
oprot.writeMessageBegin("getJobCost", msg_type, seqid)
result.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
# HELPER FUNCTIONS AND STRUCTURES
class submitJob_args(object):
"""
Attributes:
- jobConfPath
"""
thrift_spec = (
None, # 0
(1, TType.STRING, 'jobConfPath', 'UTF8', None, ), # 1
)
def __init__(self, jobConfPath=None,):
self.jobConfPath = jobConfPath
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, (self.__class__, self.thrift_spec))
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 1:
if ftype == TType.STRING:
self.jobConfPath = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, (self.__class__, self.thrift_spec)))
return
oprot.writeStructBegin('submitJob_args')
if self.jobConfPath is not None:
oprot.writeFieldBegin('jobConfPath', TType.STRING, 1)
oprot.writeString(self.jobConfPath.encode('utf-8') if sys.version_info[0] == 2 else self.jobConfPath)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
class submitJob_result(object):
"""
Attributes:
- success
"""
thrift_spec = (
(0, TType.STRING, 'success', 'UTF8', None, ), # 0
)
def __init__(self, success=None,):
self.success = success
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, (self.__class__, self.thrift_spec))
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 0:
if ftype == TType.STRING:
self.success = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, (self.__class__, self.thrift_spec)))
return
oprot.writeStructBegin('submitJob_result')
if self.success is not None:
oprot.writeFieldBegin('success', TType.STRING, 0)
oprot.writeString(self.success.encode('utf-8') if sys.version_info[0] == 2 else self.success)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
class submitJobWithParams_args(object):
"""
Attributes:
- jobConfPath
- params
"""
thrift_spec = (
None, # 0
(1, TType.STRING, 'jobConfPath', 'UTF8', None, ), # 1
(2, TType.MAP, 'params', (TType.STRING, 'UTF8', TType.STRING, 'UTF8', False), None, ), # 2
)
def __init__(self, jobConfPath=None, params=None,):
self.jobConfPath = jobConfPath
self.params = params
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, (self.__class__, self.thrift_spec))
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 1:
if ftype == TType.STRING:
self.jobConfPath = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString()
else:
iprot.skip(ftype)
elif fid == 2:
if ftype == TType.MAP:
self.params = {}
(_ktype1, _vtype2, _size0) = iprot.readMapBegin()
for _i4 in range(_size0):
_key5 = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString()
_val6 = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString()
self.params[_key5] = _val6
iprot.readMapEnd()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, (self.__class__, self.thrift_spec)))
return
oprot.writeStructBegin('submitJobWithParams_args')
if self.jobConfPath is not None:
oprot.writeFieldBegin('jobConfPath', TType.STRING, 1)
oprot.writeString(self.jobConfPath.encode('utf-8') if sys.version_info[0] == 2 else self.jobConfPath)
oprot.writeFieldEnd()
if self.params is not None:
oprot.writeFieldBegin('params', TType.MAP, 2)
oprot.writeMapBegin(TType.STRING, TType.STRING, len(self.params))
for kiter7, viter8 in self.params.items():
oprot.writeString(kiter7.encode('utf-8') if sys.version_info[0] == 2 else kiter7)
oprot.writeString(viter8.encode('utf-8') if sys.version_info[0] == 2 else viter8)
oprot.writeMapEnd()
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
class submitJobWithParams_result(object):
"""
Attributes:
- success
"""
thrift_spec = (
(0, TType.STRING, 'success', 'UTF8', None, ), # 0
)
def __init__(self, success=None,):
self.success = success
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, (self.__class__, self.thrift_spec))
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 0:
if ftype == TType.STRING:
self.success = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, (self.__class__, self.thrift_spec)))
return
oprot.writeStructBegin('submitJobWithParams_result')
if self.success is not None:
oprot.writeFieldBegin('success', TType.STRING, 0)
oprot.writeString(self.success.encode('utf-8') if sys.version_info[0] == 2 else self.success)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
class getJobStatus_args(object):
"""
Attributes:
- jobId
"""
thrift_spec = (
None, # 0
(1, TType.STRING, 'jobId', 'UTF8', None, ), # 1
)
def __init__(self, jobId=None,):
self.jobId = jobId
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, (self.__class__, self.thrift_spec))
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 1:
if ftype == TType.STRING:
self.jobId = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, (self.__class__, self.thrift_spec)))
return
oprot.writeStructBegin('getJobStatus_args')
if self.jobId is not None:
oprot.writeFieldBegin('jobId', TType.STRING, 1)
oprot.writeString(self.jobId.encode('utf-8') if sys.version_info[0] == 2 else self.jobId)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
class getJobStatus_result(object):
"""
Attributes:
- success
"""
thrift_spec = (
(0, TType.STRING, 'success', 'UTF8', None, ), # 0
)
def __init__(self, success=None,):
self.success = success
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, (self.__class__, self.thrift_spec))
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 0:
if ftype == TType.STRING:
self.success = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, (self.__class__, self.thrift_spec)))
return
oprot.writeStructBegin('getJobStatus_result')
if self.success is not None:
oprot.writeFieldBegin('success', TType.STRING, 0)
oprot.writeString(self.success.encode('utf-8') if sys.version_info[0] == 2 else self.success)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
class cancelJob_args(object):
"""
Attributes:
- jobId
"""
thrift_spec = (
None, # 0
(1, TType.STRING, 'jobId', 'UTF8', None, ), # 1
)
def __init__(self, jobId=None,):
self.jobId = jobId
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, (self.__class__, self.thrift_spec))
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 1:
if ftype == TType.STRING:
self.jobId = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, (self.__class__, self.thrift_spec)))
return
oprot.writeStructBegin('cancelJob_args')
if self.jobId is not None:
oprot.writeFieldBegin('jobId', TType.STRING, 1)
oprot.writeString(self.jobId.encode('utf-8') if sys.version_info[0] == 2 else self.jobId)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
class cancelJob_result(object):
"""
Attributes:
- success
"""
thrift_spec = (
(0, TType.BOOL, 'success', None, None, ), # 0
)
def __init__(self, success=None,):
self.success = success
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, (self.__class__, self.thrift_spec))
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 0:
if ftype == TType.BOOL:
self.success = iprot.readBool()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, (self.__class__, self.thrift_spec)))
return
oprot.writeStructBegin('cancelJob_result')
if self.success is not None:
oprot.writeFieldBegin('success', TType.BOOL, 0)
oprot.writeBool(self.success)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
class getJobResult_args(object):
"""
Attributes:
- jobId
"""
thrift_spec = (
None, # 0
(1, TType.STRING, 'jobId', 'UTF8', None, ), # 1
)
def __init__(self, jobId=None,):
self.jobId = jobId
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, (self.__class__, self.thrift_spec))
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 1:
if ftype == TType.STRING:
self.jobId = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, (self.__class__, self.thrift_spec)))
return
oprot.writeStructBegin('getJobResult_args')
if self.jobId is not None:
oprot.writeFieldBegin('jobId', TType.STRING, 1)
oprot.writeString(self.jobId.encode('utf-8') if sys.version_info[0] == 2 else self.jobId)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
class getJobResult_result(object):
"""
Attributes:
- success
"""
thrift_spec = (
(0, TType.STRUCT, 'success', (TaskResult, TaskResult.thrift_spec), None, ), # 0
)
def __init__(self, success=None,):
self.success = success
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, (self.__class__, self.thrift_spec))
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 0:
if ftype == TType.STRUCT:
self.success = TaskResult()
self.success.read(iprot)
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, (self.__class__, self.thrift_spec)))
return
oprot.writeStructBegin('getJobResult_result')
if self.success is not None:
oprot.writeFieldBegin('success', TType.STRUCT, 0)
self.success.write(oprot)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
class getJobCost_args(object):
"""
Attributes:
- jobId
"""
thrift_spec = (
None, # 0
(1, TType.STRING, 'jobId', 'UTF8', None, ), # 1
)
def __init__(self, jobId=None,):
self.jobId = jobId
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, (self.__class__, self.thrift_spec))
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 1:
if ftype == TType.STRING:
self.jobId = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, (self.__class__, self.thrift_spec)))
return
oprot.writeStructBegin('getJobCost_args')
if self.jobId is not None:
oprot.writeFieldBegin('jobId', TType.STRING, 1)
oprot.writeString(self.jobId.encode('utf-8') if sys.version_info[0] == 2 else self.jobId)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
class getJobCost_result(object):
"""
Attributes:
- success
"""
thrift_spec = (
(0, TType.STRUCT, 'success', (TaskCost, TaskCost.thrift_spec), None, ), # 0
)
def __init__(self, success=None,):
self.success = success
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, (self.__class__, self.thrift_spec))
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 0:
if ftype == TType.STRUCT:
self.success = TaskCost()
self.success.read(iprot)
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, (self.__class__, self.thrift_spec)))
return
oprot.writeStructBegin('getJobCost_result')
if self.success is not None:
oprot.writeFieldBegin('success', TType.STRUCT, 0)
self.success.write(oprot)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
| 33.994728 | 134 | 0.591532 | 4,014 | 38,686 | 5.465869 | 0.044345 | 0.015497 | 0.027894 | 0.02051 | 0.852917 | 0.826026 | 0.796354 | 0.782817 | 0.774385 | 0.774385 | 0 | 0.005741 | 0.302099 | 38,686 | 1,137 | 135 | 34.024626 | 0.806882 | 0.020136 | 0 | 0.824541 | 1 | 0 | 0.032984 | 0.001342 | 0 | 0 | 0 | 0 | 0 | 1 | 0.134174 | false | 0.006881 | 0.008028 | 0.041284 | 0.271789 | 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 |
9bef3779870a70057f41407d7e66be5b25dc877d | 41,406 | py | Python | migrations/versions/901439908b15_.py | Anioko/reusable | de6480bc23fb8cfff474985128be91f4dd391be6 | [
"MIT"
] | null | null | null | migrations/versions/901439908b15_.py | Anioko/reusable | de6480bc23fb8cfff474985128be91f4dd391be6 | [
"MIT"
] | null | null | null | migrations/versions/901439908b15_.py | Anioko/reusable | de6480bc23fb8cfff474985128be91f4dd391be6 | [
"MIT"
] | null | null | null | """empty message
Revision ID: 901439908b15
Revises:
Create Date: 2020-07-30 10:49:53.391294
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '901439908b15'
down_revision = None
branch_labels = None
depends_on = None
def upgrade():
# ### commands auto generated by Alembic - please adjust! ###
op.create_table('blog_categories',
sa.Column('id', sa.Integer(), autoincrement=True, nullable=False),
sa.Column('name', sa.String(), nullable=False),
sa.Column('order', sa.Integer(), nullable=True),
sa.Column('is_featured', sa.Boolean(), nullable=True),
sa.Column('created_at', sa.DateTime(), nullable=True),
sa.Column('updated_at', sa.DateTime(), nullable=True),
sa.PrimaryKeyConstraint('id')
)
op.create_table('blog_news_letters',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('email', sa.String(length=64), nullable=True),
sa.Column('created_at', sa.DateTime(), nullable=True),
sa.Column('updated_at', sa.DateTime(), nullable=True),
sa.PrimaryKeyConstraint('id'),
sa.UniqueConstraint('email')
)
op.create_table('blog_tags',
sa.Column('id', sa.Integer(), autoincrement=True, nullable=False),
sa.Column('name', sa.String(), nullable=False),
sa.Column('created_at', sa.DateTime(), nullable=True),
sa.Column('updated_at', sa.DateTime(), nullable=True),
sa.PrimaryKeyConstraint('id')
)
op.create_table('editableHTML',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('editor_name', sa.String(length=100), nullable=True),
sa.Column('value', sa.Text(), nullable=True),
sa.PrimaryKeyConstraint('id'),
sa.UniqueConstraint('editor_name')
)
op.create_table('images',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('image_filename', sa.String(), nullable=True),
sa.Column('image_url', sa.String(), nullable=True),
sa.Column('created_at', sa.DateTime(), nullable=True),
sa.PrimaryKeyConstraint('id')
)
op.create_table('landingimages',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('image', sa.String(), nullable=True),
sa.PrimaryKeyConstraint('id')
)
op.create_table('landingsettings',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('site_name', sa.String(length=128), nullable=True),
sa.Column('title', sa.String(length=128), nullable=True),
sa.Column('description', sa.String(length=180), nullable=True),
sa.Column('twitter_name', sa.String(length=25), nullable=True),
sa.Column('facebook_name', sa.String(length=25), nullable=True),
sa.Column('instagram_name', sa.String(length=25), nullable=True),
sa.Column('linkedin_name', sa.String(length=25), nullable=True),
sa.Column('tiktok_name', sa.String(length=25), nullable=True),
sa.Column('snap_chat_name', sa.String(length=25), nullable=True),
sa.Column('youtube', sa.String(length=25), nullable=True),
sa.Column('blog', sa.String(length=25), nullable=True),
sa.Column('about', sa.String(length=25), nullable=True),
sa.Column('contact', sa.String(length=25), nullable=True),
sa.Column('faq', sa.String(length=25), nullable=True),
sa.Column('featured_title_one', sa.String(length=90), nullable=True),
sa.Column('featured_title_one_text', sa.String(length=180), nullable=True),
sa.Column('featured_title_one_icon', sa.String(length=25), nullable=True),
sa.Column('featured_title_two', sa.String(length=90), nullable=True),
sa.Column('featured_title_two_text', sa.String(length=180), nullable=True),
sa.Column('featured_title_two_icon', sa.String(length=25), nullable=True),
sa.Column('featured_title_three', sa.String(length=90), nullable=True),
sa.Column('featured_title_three_text', sa.String(length=180), nullable=True),
sa.Column('featured_title_three_icon', sa.String(length=25), nullable=True),
sa.Column('google_analytics_id', sa.String(length=25), nullable=True),
sa.Column('other_tracking_analytics_one', sa.Text(), nullable=True),
sa.Column('other_tracking_analytics_two', sa.Text(), nullable=True),
sa.Column('other_tracking_analytics_three', sa.Text(), nullable=True),
sa.Column('other_tracking_analytics_four', sa.Text(), nullable=True),
sa.Column('block_content_one', sa.Text(), nullable=True),
sa.Column('html_code_one', sa.Text(), nullable=True),
sa.Column('html_code_two', sa.Text(), nullable=True),
sa.Column('html_code_three', sa.Text(), nullable=True),
sa.Column('html_code_four', sa.Text(), nullable=True),
sa.PrimaryKeyConstraint('id'),
sa.UniqueConstraint('about'),
sa.UniqueConstraint('blog'),
sa.UniqueConstraint('contact'),
sa.UniqueConstraint('description'),
sa.UniqueConstraint('facebook_name'),
sa.UniqueConstraint('faq'),
sa.UniqueConstraint('featured_title_one'),
sa.UniqueConstraint('featured_title_one_icon'),
sa.UniqueConstraint('featured_title_one_text'),
sa.UniqueConstraint('featured_title_three'),
sa.UniqueConstraint('featured_title_three_icon'),
sa.UniqueConstraint('featured_title_three_text'),
sa.UniqueConstraint('featured_title_two'),
sa.UniqueConstraint('featured_title_two_icon'),
sa.UniqueConstraint('featured_title_two_text'),
sa.UniqueConstraint('google_analytics_id'),
sa.UniqueConstraint('instagram_name'),
sa.UniqueConstraint('linkedin_name'),
sa.UniqueConstraint('site_name'),
sa.UniqueConstraint('snap_chat_name'),
sa.UniqueConstraint('tiktok_name'),
sa.UniqueConstraint('title'),
sa.UniqueConstraint('twitter_name'),
sa.UniqueConstraint('youtube')
)
op.create_table('marketplace_categories',
sa.Column('id', sa.Integer(), autoincrement=True, nullable=False),
sa.Column('parent_id', sa.Integer(), nullable=True),
sa.Column('name', sa.String(), nullable=False),
sa.Column('image', sa.String(), nullable=False),
sa.Column('order', sa.Integer(), nullable=True),
sa.Column('is_featured', sa.Boolean(), nullable=True),
sa.Column('created_at', sa.DateTime(), nullable=True),
sa.Column('updated_at', sa.DateTime(), nullable=True),
sa.ForeignKeyConstraint(['parent_id'], ['marketplace_categories.id'], ondelete='CASCADE'),
sa.PrimaryKeyConstraint('id')
)
op.create_table('marketplace_currency',
sa.Column('id', sa.Integer(), autoincrement=True, nullable=False),
sa.Column('name', sa.String(), nullable=False),
sa.Column('symbol', sa.String(), nullable=True),
sa.Column('default', sa.Boolean(), nullable=True),
sa.Column('created_at', sa.DateTime(), nullable=True),
sa.Column('updated_at', sa.DateTime(), nullable=True),
sa.PrimaryKeyConstraint('id')
)
op.create_table('marketplace_settings',
sa.Column('id', sa.Integer(), autoincrement=True, nullable=False),
sa.Column('name', sa.String(), nullable=True),
sa.Column('display_name', sa.String(), nullable=True),
sa.Column('value', sa.String(), nullable=True),
sa.Column('created_at', sa.DateTime(), nullable=True),
sa.Column('updated_at', sa.DateTime(), nullable=True),
sa.PrimaryKeyConstraint('id')
)
op.create_table('newslinks',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('news_site_one', sa.String(length=25), nullable=True),
sa.Column('news_site_two', sa.String(length=25), nullable=True),
sa.Column('news_site_three', sa.String(length=25), nullable=True),
sa.Column('news_site_four', sa.String(length=25), nullable=True),
sa.Column('news_site_five', sa.String(length=25), nullable=True),
sa.Column('news_url_one', sa.String(length=25), nullable=True),
sa.Column('news_url_two', sa.String(length=25), nullable=True),
sa.Column('news_url_three', sa.String(length=25), nullable=True),
sa.Column('news_url_four', sa.String(length=25), nullable=True),
sa.Column('brand_url_five', sa.String(length=25), nullable=True),
sa.PrimaryKeyConstraint('id'),
sa.UniqueConstraint('brand_url_five'),
sa.UniqueConstraint('news_site_five'),
sa.UniqueConstraint('news_site_four'),
sa.UniqueConstraint('news_site_one'),
sa.UniqueConstraint('news_site_three'),
sa.UniqueConstraint('news_site_two'),
sa.UniqueConstraint('news_url_four'),
sa.UniqueConstraint('news_url_one'),
sa.UniqueConstraint('news_url_three'),
sa.UniqueConstraint('news_url_two')
)
op.create_table('ourbrands',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('brand_name_one', sa.String(length=25), nullable=True),
sa.Column('brand_name_two', sa.String(length=25), nullable=True),
sa.Column('brand_name_three', sa.String(length=25), nullable=True),
sa.Column('brand_name_four', sa.String(length=25), nullable=True),
sa.Column('brand_name_five', sa.String(length=25), nullable=True),
sa.Column('brand_url_one', sa.String(length=25), nullable=True),
sa.Column('brand_url_two', sa.String(length=25), nullable=True),
sa.Column('brand_url_three', sa.String(length=25), nullable=True),
sa.Column('brand_url_four', sa.String(length=25), nullable=True),
sa.Column('brand_url_five', sa.String(length=25), nullable=True),
sa.PrimaryKeyConstraint('id'),
sa.UniqueConstraint('brand_name_five'),
sa.UniqueConstraint('brand_name_four'),
sa.UniqueConstraint('brand_name_one'),
sa.UniqueConstraint('brand_name_three'),
sa.UniqueConstraint('brand_name_two'),
sa.UniqueConstraint('brand_url_five'),
sa.UniqueConstraint('brand_url_four'),
sa.UniqueConstraint('brand_url_one'),
sa.UniqueConstraint('brand_url_three'),
sa.UniqueConstraint('brand_url_two')
)
op.create_table('payment_settings',
sa.Column('id', sa.Integer(), autoincrement=True, nullable=False),
sa.Column('name', sa.String(), nullable=True),
sa.Column('display_name', sa.String(), nullable=True),
sa.Column('value', sa.String(), nullable=True),
sa.Column('created_at', sa.DateTime(), nullable=True),
sa.Column('updated_at', sa.DateTime(), nullable=True),
sa.PrimaryKeyConstraint('id')
)
op.create_table('pricingplans',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('name', sa.String(), nullable=True),
sa.Column('duration', sa.Integer(), nullable=True),
sa.Column('cost', sa.Float(), nullable=True),
sa.Column('currency_symbol', sa.String(), nullable=True),
sa.Column('created_at', sa.DateTime(), nullable=True),
sa.Column('updated_at', sa.DateTime(), nullable=True),
sa.PrimaryKeyConstraint('id')
)
op.create_table('roles',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('name', sa.String(length=64), nullable=True),
sa.Column('index', sa.String(length=64), nullable=True),
sa.Column('default', sa.Boolean(), nullable=True),
sa.Column('permissions', sa.Integer(), nullable=True),
sa.PrimaryKeyConstraint('id'),
sa.UniqueConstraint('name')
)
op.create_index(op.f('ix_roles_default'), 'roles', ['default'], unique=False)
op.create_table('sitesettings',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('site_title', sa.String(length=128), nullable=True),
sa.Column('siteaddress', sa.String(length=500), nullable=True),
sa.Column('administration_user_address', sa.String(length=128), nullable=True),
sa.Column('site_Language', sa.String(length=120), nullable=True),
sa.PrimaryKeyConstraint('id'),
sa.UniqueConstraint('administration_user_address'),
sa.UniqueConstraint('site_Language'),
sa.UniqueConstraint('site_title')
)
op.create_table('testdb',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('news_site_one_1', sa.String(length=25), nullable=True),
sa.Column('news_site_twi_2', sa.String(length=25), nullable=True),
sa.PrimaryKeyConstraint('id'),
sa.UniqueConstraint('news_site_one_1'),
sa.UniqueConstraint('news_site_twi_2')
)
op.create_table('transactionfees',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('provider_name', sa.String(), nullable=True),
sa.Column('local_fee', sa.Integer(), nullable=True),
sa.Column('european_fee', sa.Integer(), nullable=True),
sa.Column('international_fee', sa.Integer(), nullable=True),
sa.Column('transfer_fee', sa.Integer(), nullable=True),
sa.Column('our_fee', sa.Integer(), nullable=True),
sa.Column('local_percentage', sa.Float(), nullable=True),
sa.Column('european_percentage', sa.Float(), nullable=True),
sa.Column('international_percentage', sa.Float(), nullable=True),
sa.Column('our_percentage', sa.Float(), nullable=True),
sa.Column('card_type', sa.String(), nullable=True),
sa.Column('currency_symbol', sa.String(), nullable=True),
sa.Column('created_at', sa.DateTime(), nullable=True),
sa.Column('updated_at', sa.DateTime(), nullable=True),
sa.PrimaryKeyConstraint('id')
)
op.create_table('users',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('confirmed', sa.Boolean(), nullable=True),
sa.Column('verified', sa.Boolean(), nullable=True),
sa.Column('is_seller', sa.Boolean(), nullable=True),
sa.Column('first_name', sa.String(length=64), nullable=True),
sa.Column('last_name', sa.String(length=64), nullable=True),
sa.Column('email', sa.String(length=64), nullable=True),
sa.Column('gender', sa.String(length=64), nullable=True),
sa.Column('profession', sa.String(length=64), nullable=True),
sa.Column('area_code', sa.String(length=6), nullable=True),
sa.Column('mobile_phone', sa.BigInteger(), nullable=True),
sa.Column('summary_text', sa.Text(), nullable=True),
sa.Column('zip', sa.String(length=10), nullable=True),
sa.Column('city', sa.String(length=64), nullable=True),
sa.Column('state', sa.String(length=64), nullable=True),
sa.Column('country', sa.String(length=64), nullable=True),
sa.Column('password_hash', sa.String(length=128), nullable=True),
sa.Column('socket_id', sa.Text(), nullable=True),
sa.Column('online', sa.String(length=1), nullable=True),
sa.Column('invited_by', sa.String(length=128), nullable=True),
sa.Column('role_id', sa.Integer(), nullable=True),
sa.Column('last_message_read_time', sa.DateTime(), nullable=True),
sa.Column('created_at', sa.DateTime(), nullable=True),
sa.Column('updated_at', sa.DateTime(), nullable=True),
sa.ForeignKeyConstraint(['role_id'], ['roles.id'], ondelete='CASCADE'),
sa.PrimaryKeyConstraint('id')
)
op.create_index(op.f('ix_users_area_code'), 'users', ['area_code'], unique=False)
op.create_index(op.f('ix_users_city'), 'users', ['city'], unique=False)
op.create_index(op.f('ix_users_country'), 'users', ['country'], unique=False)
op.create_index(op.f('ix_users_email'), 'users', ['email'], unique=True)
op.create_index(op.f('ix_users_first_name'), 'users', ['first_name'], unique=False)
op.create_index(op.f('ix_users_gender'), 'users', ['gender'], unique=False)
op.create_index(op.f('ix_users_last_name'), 'users', ['last_name'], unique=False)
op.create_index(op.f('ix_users_mobile_phone'), 'users', ['mobile_phone'], unique=True)
op.create_index(op.f('ix_users_profession'), 'users', ['profession'], unique=False)
op.create_index(op.f('ix_users_state'), 'users', ['state'], unique=False)
op.create_index(op.f('ix_users_zip'), 'users', ['zip'], unique=False)
op.create_table('blog_posts',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('title', sa.String(), nullable=True),
sa.Column('image', sa.String(), nullable=False),
sa.Column('text', sa.Text(), nullable=True),
sa.Column('user_id', sa.Integer(), nullable=True),
sa.Column('created_at', sa.DateTime(), nullable=True),
sa.Column('updated_at', sa.DateTime(), nullable=True),
sa.ForeignKeyConstraint(['user_id'], ['users.id'], ondelete='CASCADE'),
sa.PrimaryKeyConstraint('id')
)
op.create_table('contact_messages',
sa.Column('id', sa.Integer(), autoincrement=True, nullable=False),
sa.Column('read', sa.Boolean(), nullable=True),
sa.Column('spam', sa.Boolean(), nullable=True),
sa.Column('user_id', sa.Integer(), nullable=True),
sa.Column('name', sa.String(), nullable=True),
sa.Column('email', sa.String(length=64), nullable=True),
sa.Column('text', sa.Text(), nullable=True),
sa.Column('created_at', sa.DateTime(), nullable=True),
sa.Column('updated_at', sa.DateTime(), nullable=True),
sa.ForeignKeyConstraint(['user_id'], ['users.id'], ondelete='CASCADE'),
sa.PrimaryKeyConstraint('id')
)
op.create_table('marketplace_carts',
sa.Column('id', sa.Integer(), autoincrement=True, nullable=False),
sa.Column('session_id', sa.String(), nullable=True),
sa.Column('user_id', sa.Integer(), nullable=True),
sa.Column('step', sa.Integer(), nullable=True),
sa.Column('created_at', sa.DateTime(), nullable=True),
sa.Column('updated_at', sa.DateTime(), nullable=True),
sa.ForeignKeyConstraint(['user_id'], ['users.id'], ondelete='CASCADE'),
sa.PrimaryKeyConstraint('id')
)
op.create_table('marketplace_orders',
sa.Column('id', sa.Integer(), autoincrement=True, nullable=False),
sa.Column('order_number', sa.String(), nullable=True),
sa.Column('charge_id', sa.String(), nullable=True),
sa.Column('order_status', sa.Integer(), nullable=True),
sa.Column('products_total', sa.Float(), nullable=True),
sa.Column('shipping_cost', sa.Float(), nullable=True),
sa.Column('order_total', sa.Float(), nullable=True),
sa.Column('order_discount', sa.Float(), nullable=True),
sa.Column('order_pay_amount', sa.Float(), nullable=True),
sa.Column('buyer_id', sa.Integer(), nullable=True),
sa.Column('price_currency_id', sa.Integer(), nullable=True),
sa.Column('first_name', sa.String(length=64), nullable=True),
sa.Column('last_name', sa.String(length=64), nullable=True),
sa.Column('email', sa.String(length=64), nullable=True),
sa.Column('mobile_phone', sa.BigInteger(), nullable=True),
sa.Column('zip', sa.String(length=10), nullable=True),
sa.Column('city', sa.String(length=64), nullable=True),
sa.Column('state', sa.String(length=64), nullable=True),
sa.Column('country', sa.String(length=64), nullable=True),
sa.Column('created_at', sa.DateTime(), nullable=True),
sa.Column('updated_at', sa.DateTime(), nullable=True),
sa.ForeignKeyConstraint(['buyer_id'], ['users.id'], ondelete='CASCADE'),
sa.ForeignKeyConstraint(['price_currency_id'], ['marketplace_currency.id'], ondelete='CASCADE'),
sa.PrimaryKeyConstraint('id')
)
op.create_index(op.f('ix_marketplace_orders_city'), 'marketplace_orders', ['city'], unique=False)
op.create_index(op.f('ix_marketplace_orders_country'), 'marketplace_orders', ['country'], unique=False)
op.create_index(op.f('ix_marketplace_orders_email'), 'marketplace_orders', ['email'], unique=False)
op.create_index(op.f('ix_marketplace_orders_first_name'), 'marketplace_orders', ['first_name'], unique=False)
op.create_index(op.f('ix_marketplace_orders_last_name'), 'marketplace_orders', ['last_name'], unique=False)
op.create_index(op.f('ix_marketplace_orders_mobile_phone'), 'marketplace_orders', ['mobile_phone'], unique=False)
op.create_index(op.f('ix_marketplace_orders_state'), 'marketplace_orders', ['state'], unique=False)
op.create_index(op.f('ix_marketplace_orders_zip'), 'marketplace_orders', ['zip'], unique=False)
op.create_table('marketplace_products',
sa.Column('id', sa.Integer(), autoincrement=True, nullable=False),
sa.Column('name', sa.String(), nullable=True),
sa.Column('images', sa.Text(), nullable=True),
sa.Column('description', sa.String(), nullable=True),
sa.Column('availability', sa.Boolean(), nullable=True),
sa.Column('min_order_quantity', sa.Integer(), nullable=True),
sa.Column('length', sa.Float(), nullable=True),
sa.Column('weight', sa.Float(), nullable=True),
sa.Column('height', sa.Float(), nullable=True),
sa.Column('price', sa.Float(), nullable=True),
sa.Column('price_currency_id', sa.Integer(), nullable=True),
sa.Column('seller_id', sa.Integer(), nullable=True),
sa.Column('is_featured', sa.Boolean(), nullable=True),
sa.Column('lead_time', sa.String(), nullable=True),
sa.Column('created_at', sa.DateTime(), nullable=True),
sa.Column('updated_at', sa.DateTime(), nullable=True),
sa.ForeignKeyConstraint(['price_currency_id'], ['marketplace_currency.id'], ondelete='CASCADE'),
sa.ForeignKeyConstraint(['seller_id'], ['users.id'], ondelete='CASCADE'),
sa.PrimaryKeyConstraint('id')
)
op.create_table('marketplace_shipping_methods',
sa.Column('id', sa.Integer(), autoincrement=True, nullable=False),
sa.Column('name', sa.String(), nullable=False),
sa.Column('seller_id', sa.Integer(), nullable=True),
sa.Column('created_at', sa.DateTime(), nullable=True),
sa.Column('updated_at', sa.DateTime(), nullable=True),
sa.ForeignKeyConstraint(['seller_id'], ['users.id'], ondelete='CASCADE'),
sa.PrimaryKeyConstraint('id')
)
op.create_table('messages',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('user_id', sa.Integer(), nullable=True),
sa.Column('recipient_id', sa.Integer(), nullable=True),
sa.Column('body', sa.Text(), nullable=True),
sa.Column('timestamp', sa.DateTime(), nullable=True),
sa.Column('created_at', sa.DateTime(), nullable=True),
sa.Column('updated_at', sa.DateTime(), nullable=True),
sa.Column('read_at', sa.DateTime(), nullable=True),
sa.ForeignKeyConstraint(['recipient_id'], ['users.id'], ondelete='CASCADE'),
sa.ForeignKeyConstraint(['user_id'], ['users.id'], ondelete='cascade'),
sa.PrimaryKeyConstraint('id')
)
op.create_index(op.f('ix_messages_timestamp'), 'messages', ['timestamp'], unique=False)
op.create_table('notifications',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('name', sa.String(length=128), nullable=True),
sa.Column('user_id', sa.Integer(), nullable=True),
sa.Column('related_id', sa.Integer(), nullable=True),
sa.Column('timestamp', sa.Float(), nullable=True),
sa.Column('payload_json', sa.Text(), nullable=True),
sa.Column('read', sa.Boolean(), nullable=True),
sa.Column('created_at', sa.DateTime(), nullable=True),
sa.Column('updated_at', sa.DateTime(), nullable=True),
sa.ForeignKeyConstraint(['user_id'], ['users.id'], ondelete='CASCADE'),
sa.PrimaryKeyConstraint('id')
)
op.create_index(op.f('ix_notifications_name'), 'notifications', ['name'], unique=False)
op.create_index(op.f('ix_notifications_timestamp'), 'notifications', ['timestamp'], unique=False)
op.create_table('organisations',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('user_id', sa.Integer(), nullable=False),
sa.Column('image_filename', sa.String(), nullable=True),
sa.Column('image_url', sa.String(), nullable=True),
sa.Column('org_name', sa.String(length=255), nullable=True),
sa.Column('org_city', sa.String(length=255), nullable=True),
sa.Column('org_state', sa.String(length=255), nullable=True),
sa.Column('org_country', sa.String(length=255), nullable=True),
sa.Column('org_website', sa.String(length=255), nullable=True),
sa.Column('org_industry', sa.String(length=255), nullable=True),
sa.Column('org_description', sa.Text(), nullable=True),
sa.Column('created_at', sa.DateTime(), nullable=True),
sa.Column('updated_at', sa.DateTime(), nullable=True),
sa.ForeignKeyConstraint(['user_id'], ['users.id'], ondelete='CASCADE'),
sa.PrimaryKeyConstraint('id')
)
op.create_table('photos',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('image_filename', sa.String(), nullable=True),
sa.Column('image_url', sa.String(), nullable=True),
sa.Column('user_id', sa.Integer(), nullable=True),
sa.Column('created_at', sa.DateTime(), nullable=True),
sa.Column('updated_at', sa.DateTime(), nullable=True),
sa.ForeignKeyConstraint(['user_id'], ['users.id'], ondelete='CASCADE'),
sa.PrimaryKeyConstraint('id')
)
op.create_table('subscriptions',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('user_id', sa.Integer(), nullable=True),
sa.Column('start_time', sa.DateTime(), nullable=True),
sa.Column('end_time', sa.DateTime(), nullable=True),
sa.Column('active', sa.Boolean(), nullable=True),
sa.Column('created_at', sa.DateTime(), nullable=True),
sa.Column('updated_at', sa.DateTime(), nullable=True),
sa.ForeignKeyConstraint(['user_id'], ['users.id'], ondelete='CASCADE'),
sa.PrimaryKeyConstraint('id')
)
op.create_table('blog_post_categories',
sa.Column('id', sa.Integer(), autoincrement=True, nullable=False),
sa.Column('category_id', sa.Integer(), nullable=True),
sa.Column('post_id', sa.Integer(), nullable=True),
sa.Column('created_at', sa.DateTime(), nullable=True),
sa.Column('updated_at', sa.DateTime(), nullable=True),
sa.ForeignKeyConstraint(['category_id'], ['blog_categories.id'], ondelete='CASCADE'),
sa.ForeignKeyConstraint(['post_id'], ['blog_posts.id'], ondelete='CASCADE'),
sa.PrimaryKeyConstraint('id')
)
op.create_table('blog_post_comments',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('text', sa.String(), nullable=True),
sa.Column('user_id', sa.Integer(), nullable=True),
sa.Column('post_id', sa.Integer(), nullable=True),
sa.Column('depth', sa.Integer(), nullable=True),
sa.Column('created_at', sa.DateTime(), nullable=True),
sa.Column('updated_at', sa.DateTime(), nullable=True),
sa.Column('lft', sa.Integer(), nullable=False),
sa.Column('rgt', sa.Integer(), nullable=False),
sa.Column('level', sa.Integer(), nullable=False),
sa.Column('tree_id', sa.Integer(), nullable=True),
sa.Column('parent_id', sa.Integer(), nullable=True),
sa.ForeignKeyConstraint(['parent_id'], ['blog_post_comments.id'], ondelete='CASCADE'),
sa.ForeignKeyConstraint(['post_id'], ['blog_posts.id'], ondelete='CASCADE'),
sa.ForeignKeyConstraint(['user_id'], ['users.id'], ondelete='CASCADE'),
sa.PrimaryKeyConstraint('id')
)
op.create_index('blog_post_comments_level_idx', 'blog_post_comments', ['level'], unique=False)
op.create_index('blog_post_comments_lft_idx', 'blog_post_comments', ['lft'], unique=False)
op.create_index('blog_post_comments_rgt_idx', 'blog_post_comments', ['rgt'], unique=False)
op.create_table('blog_post_tags',
sa.Column('id', sa.Integer(), autoincrement=True, nullable=False),
sa.Column('tag_id', sa.Integer(), nullable=True),
sa.Column('post_id', sa.Integer(), nullable=True),
sa.Column('created_at', sa.DateTime(), nullable=True),
sa.Column('updated_at', sa.DateTime(), nullable=True),
sa.ForeignKeyConstraint(['post_id'], ['blog_posts.id'], ondelete='CASCADE'),
sa.ForeignKeyConstraint(['tag_id'], ['blog_tags.id'], ondelete='CASCADE'),
sa.PrimaryKeyConstraint('id')
)
op.create_table('logos',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('image_filename', sa.String(), nullable=True),
sa.Column('image_url', sa.String(), nullable=True),
sa.Column('organisation_id', sa.Integer(), nullable=False),
sa.Column('owner_organisation', sa.String(length=128), nullable=True),
sa.Column('created_at', sa.DateTime(), nullable=True),
sa.Column('updated_at', sa.DateTime(), nullable=True),
sa.ForeignKeyConstraint(['organisation_id'], ['organisations.id'], ondelete='CASCADE'),
sa.PrimaryKeyConstraint('id')
)
op.create_table('marketplace_cart_details',
sa.Column('id', sa.Integer(), autoincrement=True, nullable=False),
sa.Column('cart_id', sa.Integer(), nullable=True),
sa.Column('first_name', sa.String(length=64), nullable=True),
sa.Column('last_name', sa.String(length=64), nullable=True),
sa.Column('email', sa.String(length=64), nullable=True),
sa.Column('mobile_phone', sa.BigInteger(), nullable=True),
sa.Column('zip', sa.String(length=10), nullable=True),
sa.Column('city', sa.String(length=64), nullable=True),
sa.Column('state', sa.String(length=64), nullable=True),
sa.Column('country', sa.String(length=64), nullable=True),
sa.Column('created_at', sa.DateTime(), nullable=True),
sa.Column('updated_at', sa.DateTime(), nullable=True),
sa.ForeignKeyConstraint(['cart_id'], ['marketplace_carts.id'], ondelete='CASCADE'),
sa.PrimaryKeyConstraint('id')
)
op.create_index(op.f('ix_marketplace_cart_details_city'), 'marketplace_cart_details', ['city'], unique=False)
op.create_index(op.f('ix_marketplace_cart_details_country'), 'marketplace_cart_details', ['country'], unique=False)
op.create_index(op.f('ix_marketplace_cart_details_email'), 'marketplace_cart_details', ['email'], unique=True)
op.create_index(op.f('ix_marketplace_cart_details_first_name'), 'marketplace_cart_details', ['first_name'], unique=False)
op.create_index(op.f('ix_marketplace_cart_details_last_name'), 'marketplace_cart_details', ['last_name'], unique=False)
op.create_index(op.f('ix_marketplace_cart_details_mobile_phone'), 'marketplace_cart_details', ['mobile_phone'], unique=True)
op.create_index(op.f('ix_marketplace_cart_details_state'), 'marketplace_cart_details', ['state'], unique=False)
op.create_index(op.f('ix_marketplace_cart_details_zip'), 'marketplace_cart_details', ['zip'], unique=False)
op.create_table('marketplace_product_categories',
sa.Column('id', sa.Integer(), autoincrement=True, nullable=False),
sa.Column('category_id', sa.Integer(), nullable=True),
sa.Column('product_id', sa.Integer(), nullable=True),
sa.Column('created_at', sa.DateTime(), nullable=True),
sa.Column('updated_at', sa.DateTime(), nullable=True),
sa.ForeignKeyConstraint(['category_id'], ['marketplace_categories.id'], ondelete='CASCADE'),
sa.ForeignKeyConstraint(['product_id'], ['marketplace_products.id'], ondelete='CASCADE'),
sa.PrimaryKeyConstraint('id')
)
op.create_table('marketplace_seller_carts',
sa.Column('id', sa.Integer(), autoincrement=True, nullable=False),
sa.Column('cart_id', sa.Integer(), nullable=True),
sa.Column('seller_id', sa.Integer(), nullable=True),
sa.Column('shipping_method_id', sa.Integer(), nullable=True),
sa.Column('buyer_id', sa.Integer(), nullable=True),
sa.Column('current_currency_id', sa.Integer(), nullable=True),
sa.Column('created_at', sa.DateTime(), nullable=True),
sa.Column('updated_at', sa.DateTime(), nullable=True),
sa.ForeignKeyConstraint(['buyer_id'], ['users.id'], ondelete='CASCADE'),
sa.ForeignKeyConstraint(['cart_id'], ['marketplace_carts.id'], ondelete='CASCADE'),
sa.ForeignKeyConstraint(['current_currency_id'], ['marketplace_currency.id'], ondelete='CASCADE'),
sa.ForeignKeyConstraint(['seller_id'], ['users.id'], ondelete='CASCADE'),
sa.ForeignKeyConstraint(['shipping_method_id'], ['marketplace_shipping_methods.id'], ondelete='CASCADE'),
sa.PrimaryKeyConstraint('id')
)
op.create_table('marketplace_seller_orders',
sa.Column('id', sa.Integer(), autoincrement=True, nullable=False),
sa.Column('order_id', sa.Integer(), nullable=True),
sa.Column('seller_id', sa.Integer(), nullable=True),
sa.Column('order_status', sa.Integer(), nullable=True),
sa.Column('shipping_method_id', sa.Integer(), nullable=True),
sa.Column('buyer_id', sa.Integer(), nullable=True),
sa.Column('current_currency_id', sa.Integer(), nullable=True),
sa.Column('shipping_cost', sa.Float(), nullable=True),
sa.Column('created_at', sa.DateTime(), nullable=True),
sa.Column('updated_at', sa.DateTime(), nullable=True),
sa.ForeignKeyConstraint(['buyer_id'], ['users.id'], ondelete='CASCADE'),
sa.ForeignKeyConstraint(['current_currency_id'], ['marketplace_currency.id'], ondelete='CASCADE'),
sa.ForeignKeyConstraint(['order_id'], ['marketplace_orders.id'], ondelete='CASCADE'),
sa.ForeignKeyConstraint(['seller_id'], ['users.id'], ondelete='CASCADE'),
sa.ForeignKeyConstraint(['shipping_method_id'], ['marketplace_shipping_methods.id'], ondelete='CASCADE'),
sa.PrimaryKeyConstraint('id')
)
op.create_table('marketplace_shipping_method_prices',
sa.Column('id', sa.Integer(), autoincrement=True, nullable=False),
sa.Column('shipping_method_id', sa.Integer(), nullable=True),
sa.Column('seller_id', sa.Integer(), nullable=True),
sa.Column('price_currency_id', sa.Integer(), nullable=True),
sa.Column('price', sa.Float(), nullable=True),
sa.Column('created_at', sa.DateTime(), nullable=True),
sa.Column('updated_at', sa.DateTime(), nullable=True),
sa.ForeignKeyConstraint(['price_currency_id'], ['marketplace_currency.id'], ondelete='CASCADE'),
sa.ForeignKeyConstraint(['seller_id'], ['users.id'], ondelete='CASCADE'),
sa.ForeignKeyConstraint(['shipping_method_id'], ['marketplace_shipping_methods.id'], ondelete='CASCADE'),
sa.PrimaryKeyConstraint('id')
)
op.create_table('org_staff',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('user_id', sa.Integer(), nullable=True),
sa.Column('invited_by', sa.Integer(), nullable=True),
sa.Column('org_id', sa.Integer(), nullable=True),
sa.Column('created_at', sa.DateTime(), nullable=True),
sa.Column('updated_at', sa.DateTime(), nullable=True),
sa.ForeignKeyConstraint(['invited_by'], ['users.id'], ondelete='CASCADE'),
sa.ForeignKeyConstraint(['org_id'], ['organisations.id'], ondelete='CASCADE'),
sa.ForeignKeyConstraint(['user_id'], ['users.id'], ondelete='CASCADE'),
sa.PrimaryKeyConstraint('id')
)
op.create_table('marketplace_cart_items',
sa.Column('id', sa.Integer(), autoincrement=True, nullable=False),
sa.Column('cart_id', sa.Integer(), nullable=True),
sa.Column('seller_cart_id', sa.Integer(), nullable=True),
sa.Column('product_id', sa.Integer(), nullable=True),
sa.Column('seller_id', sa.Integer(), nullable=True),
sa.Column('buyer_id', sa.Integer(), nullable=True),
sa.Column('count', sa.Integer(), nullable=True),
sa.Column('created_at', sa.DateTime(), nullable=True),
sa.Column('updated_at', sa.DateTime(), nullable=True),
sa.ForeignKeyConstraint(['buyer_id'], ['users.id'], ondelete='CASCADE'),
sa.ForeignKeyConstraint(['cart_id'], ['marketplace_carts.id'], ondelete='CASCADE'),
sa.ForeignKeyConstraint(['product_id'], ['marketplace_products.id'], ondelete='CASCADE'),
sa.ForeignKeyConstraint(['seller_cart_id'], ['marketplace_seller_carts.id'], ondelete='CASCADE'),
sa.ForeignKeyConstraint(['seller_id'], ['users.id'], ondelete='CASCADE'),
sa.PrimaryKeyConstraint('id')
)
op.create_table('marketplace_order_items',
sa.Column('id', sa.Integer(), autoincrement=True, nullable=False),
sa.Column('order_id', sa.Integer(), nullable=True),
sa.Column('seller_order_id', sa.Integer(), nullable=True),
sa.Column('seller_id', sa.Integer(), nullable=True),
sa.Column('buyer_id', sa.Integer(), nullable=True),
sa.Column('product_id', sa.Integer(), nullable=True),
sa.Column('count', sa.Integer(), nullable=True),
sa.Column('current_price', sa.Float(), nullable=True),
sa.Column('current_total_price', sa.Integer(), nullable=True),
sa.Column('created_at', sa.DateTime(), nullable=True),
sa.Column('updated_at', sa.DateTime(), nullable=True),
sa.ForeignKeyConstraint(['buyer_id'], ['users.id'], ondelete='CASCADE'),
sa.ForeignKeyConstraint(['order_id'], ['marketplace_orders.id'], ondelete='CASCADE'),
sa.ForeignKeyConstraint(['product_id'], ['marketplace_products.id'], ondelete='CASCADE'),
sa.ForeignKeyConstraint(['seller_id'], ['users.id'], ondelete='CASCADE'),
sa.ForeignKeyConstraint(['seller_order_id'], ['marketplace_seller_orders.id'], ondelete='CASCADE'),
sa.PrimaryKeyConstraint('id')
)
op.create_table('marketplace_order_status_changes',
sa.Column('id', sa.Integer(), autoincrement=True, nullable=False),
sa.Column('order_id', sa.Integer(), nullable=True),
sa.Column('seller_order_id', sa.Integer(), nullable=True),
sa.Column('changed_from', sa.Integer(), nullable=True),
sa.Column('changed_to', sa.Integer(), nullable=True),
sa.Column('created_at', sa.DateTime(), nullable=True),
sa.Column('updated_at', sa.DateTime(), nullable=True),
sa.ForeignKeyConstraint(['order_id'], ['marketplace_orders.id'], ondelete='CASCADE'),
sa.ForeignKeyConstraint(['seller_order_id'], ['marketplace_seller_orders.id'], ondelete='CASCADE'),
sa.PrimaryKeyConstraint('id')
)
# ### end Alembic commands ###
def downgrade():
# ### commands auto generated by Alembic - please adjust! ###
op.drop_table('marketplace_order_status_changes')
op.drop_table('marketplace_order_items')
op.drop_table('marketplace_cart_items')
op.drop_table('org_staff')
op.drop_table('marketplace_shipping_method_prices')
op.drop_table('marketplace_seller_orders')
op.drop_table('marketplace_seller_carts')
op.drop_table('marketplace_product_categories')
op.drop_index(op.f('ix_marketplace_cart_details_zip'), table_name='marketplace_cart_details')
op.drop_index(op.f('ix_marketplace_cart_details_state'), table_name='marketplace_cart_details')
op.drop_index(op.f('ix_marketplace_cart_details_mobile_phone'), table_name='marketplace_cart_details')
op.drop_index(op.f('ix_marketplace_cart_details_last_name'), table_name='marketplace_cart_details')
op.drop_index(op.f('ix_marketplace_cart_details_first_name'), table_name='marketplace_cart_details')
op.drop_index(op.f('ix_marketplace_cart_details_email'), table_name='marketplace_cart_details')
op.drop_index(op.f('ix_marketplace_cart_details_country'), table_name='marketplace_cart_details')
op.drop_index(op.f('ix_marketplace_cart_details_city'), table_name='marketplace_cart_details')
op.drop_table('marketplace_cart_details')
op.drop_table('logos')
op.drop_table('blog_post_tags')
op.drop_index('blog_post_comments_rgt_idx', table_name='blog_post_comments')
op.drop_index('blog_post_comments_lft_idx', table_name='blog_post_comments')
op.drop_index('blog_post_comments_level_idx', table_name='blog_post_comments')
op.drop_table('blog_post_comments')
op.drop_table('blog_post_categories')
op.drop_table('subscriptions')
op.drop_table('photos')
op.drop_table('organisations')
op.drop_index(op.f('ix_notifications_timestamp'), table_name='notifications')
op.drop_index(op.f('ix_notifications_name'), table_name='notifications')
op.drop_table('notifications')
op.drop_index(op.f('ix_messages_timestamp'), table_name='messages')
op.drop_table('messages')
op.drop_table('marketplace_shipping_methods')
op.drop_table('marketplace_products')
op.drop_index(op.f('ix_marketplace_orders_zip'), table_name='marketplace_orders')
op.drop_index(op.f('ix_marketplace_orders_state'), table_name='marketplace_orders')
op.drop_index(op.f('ix_marketplace_orders_mobile_phone'), table_name='marketplace_orders')
op.drop_index(op.f('ix_marketplace_orders_last_name'), table_name='marketplace_orders')
op.drop_index(op.f('ix_marketplace_orders_first_name'), table_name='marketplace_orders')
op.drop_index(op.f('ix_marketplace_orders_email'), table_name='marketplace_orders')
op.drop_index(op.f('ix_marketplace_orders_country'), table_name='marketplace_orders')
op.drop_index(op.f('ix_marketplace_orders_city'), table_name='marketplace_orders')
op.drop_table('marketplace_orders')
op.drop_table('marketplace_carts')
op.drop_table('contact_messages')
op.drop_table('blog_posts')
op.drop_index(op.f('ix_users_zip'), table_name='users')
op.drop_index(op.f('ix_users_state'), table_name='users')
op.drop_index(op.f('ix_users_profession'), table_name='users')
op.drop_index(op.f('ix_users_mobile_phone'), table_name='users')
op.drop_index(op.f('ix_users_last_name'), table_name='users')
op.drop_index(op.f('ix_users_gender'), table_name='users')
op.drop_index(op.f('ix_users_first_name'), table_name='users')
op.drop_index(op.f('ix_users_email'), table_name='users')
op.drop_index(op.f('ix_users_country'), table_name='users')
op.drop_index(op.f('ix_users_city'), table_name='users')
op.drop_index(op.f('ix_users_area_code'), table_name='users')
op.drop_table('users')
op.drop_table('transactionfees')
op.drop_table('testdb')
op.drop_table('sitesettings')
op.drop_index(op.f('ix_roles_default'), table_name='roles')
op.drop_table('roles')
op.drop_table('pricingplans')
op.drop_table('payment_settings')
op.drop_table('ourbrands')
op.drop_table('newslinks')
op.drop_table('marketplace_settings')
op.drop_table('marketplace_currency')
op.drop_table('marketplace_categories')
op.drop_table('landingsettings')
op.drop_table('landingimages')
op.drop_table('images')
op.drop_table('editableHTML')
op.drop_table('blog_tags')
op.drop_table('blog_news_letters')
op.drop_table('blog_categories')
# ### end Alembic commands ###
| 55.281709 | 128 | 0.700237 | 5,430 | 41,406 | 5.143831 | 0.046041 | 0.107408 | 0.160395 | 0.198346 | 0.874942 | 0.840106 | 0.796033 | 0.736816 | 0.703197 | 0.634886 | 0 | 0.00668 | 0.114162 | 41,406 | 748 | 129 | 55.355615 | 0.754819 | 0.006835 | 0 | 0.438356 | 0 | 0 | 0.252811 | 0.079419 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00274 | false | 0.00137 | 0.00274 | 0 | 0.005479 | 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 |
50083f15b337cb2ad7773f0329b45c2b31019b78 | 8,395 | py | Python | mvmm_sim/data_analysis/multi_view/model_selection.py | idc9/mvmm_sim | 5819d9ff95e36310536fd436bba50baba4f0ca71 | [
"MIT"
] | null | null | null | mvmm_sim/data_analysis/multi_view/model_selection.py | idc9/mvmm_sim | 5819d9ff95e36310536fd436bba50baba4f0ca71 | [
"MIT"
] | null | null | null | mvmm_sim/data_analysis/multi_view/model_selection.py | idc9/mvmm_sim | 5819d9ff95e36310536fd436bba50baba4f0ca71 | [
"MIT"
] | null | null | null | import pandas as pd
from mvmm.multi_view.block_diag.graph.bipt_community import get_block_mat
from mvmm.clustering_measures import MEASURE_MIN_GOOD
from mvmm_sim.simulation.run_sim import get_n_blocks
def get_bd_mvmm_model_sel(mvmm_results, select_metric='bic',
user_best_idx=None):
"""
Parameters
----------
mvmm_results
select_metric: str
Which metric to use for model selection.
user_best_idx: None, int
User provided index for which model to select. May be used to overwrite
best BIC selected index.
"""
fit_data = mvmm_results['fit_data']
n_view_comp_seq = mvmm_results['n_view_components']
# n_view_comp_seq = mvmm_results['n_view_components']
n_view_comp_settings = len(fit_data) # len(n_view_comp_seq)
model_sel_df = []
for view_comp_idx in range(n_view_comp_settings):
data = fit_data[view_comp_idx]
bd_models = data['models']['bd_mvmm']
if 'full_mvmm' in data['models'].keys():
full_model = data['models']['full_mvmm']
else:
full_model = None
model_scores_measures = bd_models.model_sel_scores_.columns.values
#############
# BD models #
#############
# bd_scores = bd_models.scores_
# for bd_idx, row in bd_scores.iterrows():
for bd_idx in range(len(bd_models.estimators_)):
est = bd_models.estimators_[bd_idx]
model_sel_scores = bd_models.model_sel_scores_.iloc[bd_idx]
# est n_blocks
D_est = est.final_.bd_weights_
zero_thresh = est.final_.zero_thresh
comm_mat_est = get_block_mat(D_est > zero_thresh)
n_blocks_est = get_n_blocks(comm_mat_est)
n_comp_est = (D_est > zero_thresh).sum()
# requested n blocks
n_blocks_req = est.final_.n_blocks
res = {'model': 'bd_' + str(bd_idx),
'view_comp_idx': view_comp_idx,
# 'bic': scores['bic'],
# 'aic': scores['aic'],
'n_blocks_est': n_blocks_est,
'n_blocks_req': n_blocks_req,
'n_comp_est': n_comp_est,
'n_view_comp': n_view_comp_seq[view_comp_idx]}
for measure in model_scores_measures:
res[measure] = model_sel_scores[measure]
model_sel_df.append(res)
#############
# Full mvmm #
#############
if full_model is not None:
comm_mat_est = get_block_mat(full_model.weights_mat_ > zero_thresh)
n_blocks_est = get_n_blocks(comm_mat_est)
n_comp_est = (full_model.weights_mat_ > zero_thresh).sum()
res = {'model': 'full',
'view_comp_idx': view_comp_idx,
# 'bic': data['full_model_sel_scores']['bic'],
'n_blocks_req': 1,
'n_blocks_est': n_blocks_est,
'n_comp_est': n_comp_est,
'n_view_comp': n_view_comp_seq[view_comp_idx]
}
for measure in model_scores_measures:
res[measure] = data['full_model_sel_scores'][measure]
model_sel_df.append(res)
model_sel_df = pd.DataFrame(model_sel_df)
# get best model
if user_best_idx is None:
# select with BIC/AIC
if MEASURE_MIN_GOOD[measure]:
best_idx = model_sel_df[select_metric].idxmin()
else:
best_idx = model_sel_df[select_metric].idxmax()
else:
# user provided
best_idx = int(user_best_idx)
best_model_name = model_sel_df.loc[best_idx]['model']
best_view_comp_idx = model_sel_df.loc[best_idx]['view_comp_idx']
best_vc_models = fit_data[best_view_comp_idx]['models']
if 'bd' in best_model_name:
bd_idx = int(best_model_name.split('_')[1])
best_model = best_vc_models['bd_mvmm'].estimators_[bd_idx]
else:
best_model = best_vc_models['full_mvmm']
# if isinstance(best_model, TwoStage):
# best_model = best_model.final_
sel_metadata = {'idx': best_idx,
'model_name': best_model_name,
'best_view_comp_idx': view_comp_idx}
return best_model, model_sel_df, sel_metadata
def get_log_pen_mvmm_model_sel(mvmm_results, select_metric='bic',
user_best_idx=None):
"""
Parameters
----------
mvmm_results
select_metric: str
Which metric to use for model selection.
user_best_idx: None, int
User provided index for which model to select. May be used to overwrite
best BIC selected index.
"""
fit_data = mvmm_results['fit_data']
n_view_comp_seq = mvmm_results['n_view_components']
# n_view_comp_seq = mvmm_results['n_view_components']
n_view_comp_settings = len(fit_data) # len(n_view_comp_seq)
model_sel_df = []
for view_comp_idx in range(n_view_comp_settings):
data = fit_data[view_comp_idx]
log_pen_models = data['models']['log_pen_mvmm']
if 'full_mvmm' in data['models'].keys():
full_model = data['models']['full_mvmm']
model_scores_measures = log_pen_models.model_sel_scores_.columns.values
#############
# BD models #
#############
# bd_scores = bd_models.scores_
# for bd_idx, row in bd_scores.iterrows():
for tune_idx in range(len(log_pen_models.estimators_)):
est = log_pen_models.estimators_[tune_idx]
model_sel_scores = log_pen_models.model_sel_scores_.iloc[tune_idx]
Pi_est = est.final_.weights_mat_
zero_thresh = 0
comm_mat_est = get_block_mat(Pi_est > zero_thresh)
n_blocks_est = get_n_blocks(comm_mat_est)
n_comp_est = (Pi_est > zero_thresh).sum()
res = {'model': 'logpen_' + str(tune_idx),
'view_comp_idx': view_comp_idx,
# 'bic': scores['bic'],
# 'aic': scores['aic'],
'n_blocks_est': n_blocks_est,
# 'n_blocks_req': n_blocks_req,
'n_comp_est': n_comp_est,
'n_view_comp': n_view_comp_seq[view_comp_idx],
'n_view_comp_est': list(Pi_est.shape)}
for measure in model_scores_measures:
res[measure] = model_sel_scores[measure]
model_sel_df.append(res)
#############
# Full mvmm #
#############
if full_model is not None:
comm_mat_est = get_block_mat(full_model.weights_mat_ > zero_thresh)
n_blocks_est = get_n_blocks(comm_mat_est)
n_comp_est = (full_model.weights_mat_ > zero_thresh).sum()
res = {'model': 'full',
'view_comp_idx': view_comp_idx,
# 'bic': data['full_model_sel_scores']['bic'],
'n_blocks_est': n_blocks_est,
'n_comp_est': n_comp_est,
'n_view_comp': n_view_comp_seq[view_comp_idx]
}
for measure in model_scores_measures:
res[measure] = data['full_model_sel_scores'][measure]
model_sel_df.append(res)
model_sel_df = pd.DataFrame(model_sel_df)
# get best model
if user_best_idx is None:
# select with BIC/AIC
if MEASURE_MIN_GOOD[measure]:
best_idx = model_sel_df[select_metric].idxmin()
else:
best_idx = model_sel_df[select_metric].idxmax()
else:
# user provided
best_idx = int(user_best_idx)
best_model_name = model_sel_df.loc[best_idx]['model']
best_view_comp_idx = model_sel_df.loc[best_idx]['view_comp_idx']
best_vc_models = fit_data[best_view_comp_idx]['models']
if 'logpen' in best_model_name:
bd_idx = int(best_model_name.split('_')[1])
best_model = best_vc_models['log_pen_mvmm'].estimators_[bd_idx]
else:
best_model = best_vc_models['full_mvmm']
# if isinstance(best_model, TwoStage):
# best_model = best_model.final_
sel_metadata = {'idx': best_idx,
'model_name': best_model_name,
'best_view_comp_idx': view_comp_idx}
return best_model, model_sel_df, sel_metadata
| 33.446215 | 79 | 0.597022 | 1,119 | 8,395 | 4.007149 | 0.098302 | 0.080285 | 0.063782 | 0.026762 | 0.845674 | 0.833854 | 0.817351 | 0.817351 | 0.817351 | 0.817351 | 0 | 0.000679 | 0.29863 | 8,395 | 250 | 80 | 33.58 | 0.76087 | 0.151995 | 0 | 0.704545 | 0 | 0 | 0.088073 | 0.006094 | 0 | 0 | 0 | 0 | 0 | 1 | 0.015152 | false | 0 | 0.030303 | 0 | 0.060606 | 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 |
503abf3eed8196c12180b1741a6c353bca05aba6 | 4,894 | py | Python | videoanalyst/evaluation/davis_benchmark/evaluation_method.py | yutliu/betterSAT | fb983f43b12352f9ee6ae40b4e0954f6ba502fb8 | [
"MIT"
] | null | null | null | videoanalyst/evaluation/davis_benchmark/evaluation_method.py | yutliu/betterSAT | fb983f43b12352f9ee6ae40b4e0954f6ba502fb8 | [
"MIT"
] | null | null | null | videoanalyst/evaluation/davis_benchmark/evaluation_method.py | yutliu/betterSAT | fb983f43b12352f9ee6ae40b4e0954f6ba502fb8 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*
import os
import sys
from time import time
import argparse
import numpy as np
import pandas as pd
from..davis_benchmark.davis2017.davis_evaluation import DAVISEvaluation, alivos1valuation
dataset = 'val'
task = 'semi-supervised'
dataset_ali = 'test1'
def davis2017_eval(davis_path,results_path,csv_name_global_path,csv_name_per_sequence_path,hp_dict,version = '2017' ):
time_start = time()
hp_keys = list(hp_dict.keys())
hp_values = [hp_dict[k] for k in hp_keys]
print('Evaluating sequences for the {} task...'.format(task))
# Create dataset and evaluate
dataset_eval = DAVISEvaluation(davis_root=davis_path, task=task, gt_set=dataset,version = version)
metrics_res = dataset_eval.evaluate(results_path)
J, F = metrics_res['J'], metrics_res['F']
# Generate dataframe for the general results
g_measures = ['J&F-Mean', 'J-Mean', 'J-Recall', 'J-Decay', 'F-Mean', 'F-Recall', 'F-Decay'] + hp_keys
final_mean = (np.mean(J["M"]) + np.mean(F["M"])) / 2.
g_res = np.array(
[final_mean, np.mean(J["M"]), np.mean(J["R"]), np.mean(J["D"]), np.mean(F["M"]), np.mean(F["R"]),
np.mean(F["D"])] + hp_values )
g_res = np.reshape(g_res, [1, len(g_res)])
table_g = pd.DataFrame(data=g_res, columns=g_measures)
with open(csv_name_global_path, 'a') as f:
table_g.to_csv(f, index=False, float_format="%.3f",mode='a')
print('Global results saved in {}'.format(csv_name_global_path))
seq_names = list(J['M_per_object'].keys())
seq_measures = ['Sequence', 'J-Mean', 'F-Mean']
J_per_object = [J['M_per_object'][x] for x in seq_names]
F_per_object = [F['M_per_object'][x] for x in seq_names]
table_seq = pd.DataFrame(data=list(zip(seq_names, J_per_object, F_per_object)), columns=seq_measures)
with open(csv_name_per_sequence_path, 'w') as f:
table_seq.to_csv(f, index=False, float_format="%.3f")
print('Per-sequence results saved in {}'.format(csv_name_per_sequence_path))
# Print the results
sys.stdout.write("--------------------------- Global results for {} ---------------------------\n".format(dataset))
print(table_g.to_string(index=False))
sys.stdout.write("\n---------- Per sequence results for {} ----------\n".format(dataset))
print(table_seq.to_string(index=False))
total_time = time() - time_start
sys.stdout.write('\nTotal time:' + str(total_time))
return dict(JF=final_mean, JM=np.mean(J["M"]), JR=np.mean(J["R"]), JD=np.mean(J["D"]), FM=np.mean(F["M"]), FR=np.mean(F["R"]),
FD=np.mean(F["D"]))
def alivos1_eval(davis_path,results_path,csv_name_global_path,csv_name_per_sequence_path,hp_dict,version = '2017' ):
time_start = time()
hp_keys = list(hp_dict.keys())
hp_values = [hp_dict[k] for k in hp_keys]
print('Evaluating sequences for the {} task...'.format(task))
# Create dataset and evaluate
dataset_eval = alivos1valuation(davis_root=davis_path, task=task, gt_set=dataset_ali,version = version)
metrics_res = dataset_eval.evaluate(results_path)
J, F = metrics_res['J'], metrics_res['F']
# Generate dataframe for the general results
g_measures = ['J&F-Mean', 'J-Mean', 'J-Recall', 'J-Decay', 'F-Mean', 'F-Recall', 'F-Decay'] + hp_keys
final_mean = (np.mean(J["M"]) + np.mean(F["M"])) / 2.
g_res = np.array(
[final_mean, np.mean(J["M"]), np.mean(J["R"]), np.mean(J["D"]), np.mean(F["M"]), np.mean(F["R"]),
np.mean(F["D"])] + hp_values )
g_res = np.reshape(g_res, [1, len(g_res)])
table_g = pd.DataFrame(data=g_res, columns=g_measures)
with open(csv_name_global_path, 'a') as f:
table_g.to_csv(f, index=False, float_format="%.3f",mode='a')
print('Global results saved in {}'.format(csv_name_global_path))
seq_names = list(J['M_per_object'].keys())
seq_measures = ['Sequence', 'J-Mean', 'F-Mean']
J_per_object = [J['M_per_object'][x] for x in seq_names]
F_per_object = [F['M_per_object'][x] for x in seq_names]
table_seq = pd.DataFrame(data=list(zip(seq_names, J_per_object, F_per_object)), columns=seq_measures)
with open(csv_name_per_sequence_path, 'w') as f:
table_seq.to_csv(f, index=False, float_format="%.3f")
print('Per-sequence results saved in {}'.format(csv_name_per_sequence_path))
# Print the results
sys.stdout.write("--------------------------- Global results for {} ---------------------------\n".format(dataset))
print(table_g.to_string(index=False))
sys.stdout.write("\n---------- Per sequence results for {} ----------\n".format(dataset))
print(table_seq.to_string(index=False))
total_time = time() - time_start
sys.stdout.write('\nTotal time:' + str(total_time))
return dict(JF=final_mean, JM=np.mean(J["M"]), JR=np.mean(J["R"]), JD=np.mean(J["D"]), FM=np.mean(F["M"]), FR=np.mean(F["R"]),
FD=np.mean(F["D"]))
| 46.609524 | 130 | 0.644871 | 789 | 4,894 | 3.774398 | 0.144487 | 0.056414 | 0.032908 | 0.034251 | 0.910007 | 0.910007 | 0.910007 | 0.910007 | 0.910007 | 0.884486 | 0 | 0.006996 | 0.153045 | 4,894 | 104 | 131 | 47.057692 | 0.71146 | 0.040458 | 0 | 0.820513 | 0 | 0 | 0.166596 | 0.023891 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025641 | false | 0 | 0.089744 | 0 | 0.141026 | 0.128205 | 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 |
acf58443136d4c96f86334cec6054185351f8563 | 6,857 | py | Python | toolkit/radar_preprocess/util/mmwave_bag.py | MAPS-Lab/OdomBydVision | a6e1a91dce0001bd377080ad228529f6184b7130 | [
"MIT"
] | null | null | null | toolkit/radar_preprocess/util/mmwave_bag.py | MAPS-Lab/OdomBydVision | a6e1a91dce0001bd377080ad228529f6184b7130 | [
"MIT"
] | null | null | null | toolkit/radar_preprocess/util/mmwave_bag.py | MAPS-Lab/OdomBydVision | a6e1a91dce0001bd377080ad228529f6184b7130 | [
"MIT"
] | null | null | null | import struct
import csv
import numpy as np
import pandas as pd
def make_frames_from_csv(csv_path):
readings_dict = dict()
with open(csv_path, 'r') as input_file:
reader = csv.reader(input_file)
next(reader)
for row in reader:
pts = list()
# add timestamp
timestamp = row[0] # timestamp = row[4] + row[5].zfill(9)
# parsing
try:
offset_col = row[37]
except:
offset_col = row[29]
pt_cloud = np.fromstring(offset_col[1:-1], dtype=int, sep=',')
for i in range(0, int(len(pt_cloud) / 32)):
point = list()
# x
tmp = struct.pack('4B', int(pt_cloud[32 * i]), int(pt_cloud[32 * i + 1]), int(pt_cloud[32 * i + 2]),
int(pt_cloud[32 * i + 3]))
tempf = struct.unpack('1f', tmp)
point.append(tempf[0])
# y
tmp = struct.pack('4B', int(pt_cloud[32 * i + 4]), int(pt_cloud[32 * i + 5]), int(pt_cloud[32 * i + 6]),
int(pt_cloud[32 * i + 7]))
tempf = struct.unpack('1f', tmp)
point.append(tempf[0])
# z
tmp = struct.pack('4B', int(pt_cloud[32 * i + 8]), int(pt_cloud[32 * i + 9]),
int(pt_cloud[32 * i + 10]),
int(pt_cloud[32 * i + 11]))
tempf = struct.unpack('1f', tmp)
point.append(tempf[0])
# intensity
tmp = struct.pack('4B', int(pt_cloud[32 * i + 16]), int(pt_cloud[32 * i + 17]),
int(pt_cloud[32 * i + 18]),
int(pt_cloud[32 * i + 19]))
tempf = struct.unpack('1f', tmp)
point.append(tempf[0])
# range
tmp = struct.pack('4B', int(pt_cloud[32 * i + 20]), int(pt_cloud[32 * i + 21]),
int(pt_cloud[32 * i + 22]),
int(pt_cloud[32 * i + 23]))
tempf = struct.unpack('1f', tmp)
point.append(tempf[0])
# doppler
tmp = struct.pack('4B', int(pt_cloud[32 * i + 24]), int(pt_cloud[32 * i + 25]),
int(pt_cloud[32 * i + 26]),
int(pt_cloud[32 * i + 27]))
tempf = struct.unpack('1f', tmp)
point.append(tempf[0])
pts.append(point)
readings_dict[timestamp] = pts
return readings_dict
def make_frames_from_csv_doppler(csv_path):
doppler_csv_path = csv_path.replace('.csv', '_scan.csv')
print(doppler_csv_path)
vel_data = pd.read_csv(doppler_csv_path)
# print(vel_data.head())
vel_idx = 0
readings_dict = dict()
with open(csv_path, 'r') as input_file:
reader = csv.reader(input_file)
next(reader)
for row in reader:
pts = list()
# add timestamp
timestamp = row[0] # timestamp = row[4] + row[5].zfill(9)
# parsing
try:
offset_col = row[37]
except:
offset_col = row[29]
pt_cloud = np.fromstring(offset_col[1:-1], dtype=int, sep=',')
row_without_velocity = 0
for i in range(0, int(len(pt_cloud) / 32)):
point = list()
# x
tmp = struct.pack('4B', int(pt_cloud[32 * i]), int(pt_cloud[32 * i + 1]), int(pt_cloud[32 * i + 2]),
int(pt_cloud[32 * i + 3]))
tempf = struct.unpack('1f', tmp)
point.append(tempf[0])
# y
tmp = struct.pack('4B', int(pt_cloud[32 * i + 4]), int(pt_cloud[32 * i + 5]), int(pt_cloud[32 * i + 6]),
int(pt_cloud[32 * i + 7]))
tempf = struct.unpack('1f', tmp)
point.append(tempf[0])
# z
tmp = struct.pack('4B', int(pt_cloud[32 * i + 8]), int(pt_cloud[32 * i + 9]),
int(pt_cloud[32 * i + 10]),
int(pt_cloud[32 * i + 11]))
tempf = struct.unpack('1f', tmp)
point.append(tempf[0])
# intensity
tmp = struct.pack('4B', int(pt_cloud[32 * i + 16]), int(pt_cloud[32 * i + 17]),
int(pt_cloud[32 * i + 18]),
int(pt_cloud[32 * i + 19]))
tempf = struct.unpack('1f', tmp)
point.append(tempf[0])
# range
tmp = struct.pack('4B', int(pt_cloud[32 * i + 20]), int(pt_cloud[32 * i + 21]),
int(pt_cloud[32 * i + 22]),
int(pt_cloud[32 * i + 23]))
tempf = struct.unpack('1f', tmp)
point.append(tempf[0])
# doppler
tmp = struct.pack('4B', int(pt_cloud[32 * i + 24]), int(pt_cloud[32 * i + 25]),
int(pt_cloud[32 * i + 26]),
int(pt_cloud[32 * i + 27]))
tempf = struct.unpack('1f', tmp)
point.append(tempf[0])
if row_without_velocity == 1:
continue
if vel_idx == vel_data.shape[0]:
return readings_dict
if abs(point[0] - vel_data.loc[vel_idx]['x']) < 1e-10 and abs(
point[1] - vel_data.loc[vel_idx]['y']) < 1e-10 and abs(
point[2] - vel_data.loc[vel_idx]['z']) < 1e-10:
point[5] = vel_data.loc[vel_idx]['velocity']
vel_idx = vel_idx + 1
else:
find_flag = 0
while vel_idx < vel_data.shape[0] - 1:
vel_idx = vel_idx + 1
if abs(point[0] - vel_data.loc[vel_idx]['x']) < 1e-10 and abs(
point[1] - vel_data.loc[vel_idx]['y']) < 1e-10 and abs(
point[2] - vel_data.loc[vel_idx]['z']) < 1e-10:
point[5] = vel_data.loc[vel_idx]['velocity']
vel_idx = vel_idx + 1
find_flag = 1
break
if find_flag == 0:
vel_idx = 0
row_without_velocity = 1
continue
pts.append(point)
readings_dict[timestamp] = pts
return readings_dict
| 43.675159 | 120 | 0.41855 | 820 | 6,857 | 3.343902 | 0.130488 | 0.13275 | 0.164114 | 0.210066 | 0.899708 | 0.860686 | 0.846827 | 0.846827 | 0.846827 | 0.846827 | 0 | 0.072572 | 0.453405 | 6,857 | 156 | 121 | 43.955128 | 0.659018 | 0.029167 | 0 | 0.848 | 0 | 0 | 0.013114 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.016 | false | 0 | 0.032 | 0 | 0.072 | 0.008 | 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 |
4a1c44a2ece75af5f3adb234674129a8dbefcc0d | 96 | py | Python | gyomei_trainer/metrics/__init__.py | KonstantinDob/gyomei_trainer | 028628d09205b0bb4c411d39d51a00add58aecc2 | [
"MIT"
] | null | null | null | gyomei_trainer/metrics/__init__.py | KonstantinDob/gyomei_trainer | 028628d09205b0bb4c411d39d51a00add58aecc2 | [
"MIT"
] | null | null | null | gyomei_trainer/metrics/__init__.py | KonstantinDob/gyomei_trainer | 028628d09205b0bb4c411d39d51a00add58aecc2 | [
"MIT"
] | null | null | null | from gyomei_trainer.metrics.loss import Loss
from gyomei_trainer.metrics.metrics import Metrics
| 32 | 50 | 0.875 | 14 | 96 | 5.857143 | 0.428571 | 0.243902 | 0.414634 | 0.585366 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.083333 | 96 | 2 | 51 | 48 | 0.931818 | 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 |
c57cd6b41bf5acc3f232f7056acc358959c9e9a0 | 411,550 | py | Python | tests/games/Plotter.py | DoveDoof/QLUT | 8d48a5430a267b6b1018312d8267236d4df899d9 | [
"MIT"
] | null | null | null | tests/games/Plotter.py | DoveDoof/QLUT | 8d48a5430a267b6b1018312d8267236d4df899d9 | [
"MIT"
] | 13 | 2018-07-19T09:42:28.000Z | 2018-09-25T15:08:05.000Z | tests/games/Plotter.py | DoveDoof/QLUT | 8d48a5430a267b6b1018312d8267236d4df899d9 | [
"MIT"
] | null | null | null | import matplotlib.pyplot as plt
import numpy as np
# regnn det:reg_51_51_51_e-3_det_1e-1
regdet = {"5000": [1, -1, 1, 1, 0, -1, -1, -1, -1, 0, 1, -1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 0, -1, 1, -1, 1, -1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, -1, 0, 1, 1, 0, -1, 1, -1, 0, 1, -1, -1, 0, 1, 1, 1, -1, 0, 1, 0, 0, -1, 0, 1, 1, -1, 1, 1, -1, 0, 0, -1, 1, 1, -1, 0, 1, 1, 1, -1, 1, 1, 1, 1, 0, -1, -1, -1, 0, 1, 1, 1, -1, -1, 1, -1, -1, 1, -1, 1, -1, 0, -1, -1, 0, 1, -1, 1, -1, 0, 1, -1, -1, -1, -1, 1, -1, 0, 1, 1, -1, 1, -1, 1, 1, 1, -1, 0, 1, 0, -1, 0, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, 0, 1, 1, 0, 0, -1, 1, 0, -1, 1, 0, 0, 1, 0, 1, 0, 0, -1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, -1, 0, 0, 0, -1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 0, 1, 1, 1, 1, -1, 1, 1, 1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 0, -1, 1, 1, 1, -1, -1, 1, -1, 1, 1, 0, 0, 1, -1, 1, -1, -1, 1, -1, -1, 0, -1, 0, -1, 0, 1, -1, 1, 1, -1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, -1, 0, 0, 1, 1, -1, 1, 1, -1, 0, -1, -1, -1, 0, 0, 0, 1, 0, -1, 0, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, -1, 1, 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-1, 1, 1, -1, 1, 1, 1, -1, 1, 1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 0, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, 1, 0, -1, 1, 1, 1, 1, -1, 1, -1, 1, 1, 1, 1, 1, 0, 1, 1, -1, 1, 1, 1, 0, 1, -1, 1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 0, 1, 1, 1, -1, -1, 1, -1, 0, 1, 1, 0, 0, -1, 1, -1, 0, 1, 1, -1, -1, -1, 1, 1, -1, -1, 1, 1, 1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, -1, -1, 1, -1, 1, -1, 1, 1, -1, 1, 1, 1, 1, -1, 1, -1, -1, 1, -1, 1], "200000": [0, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, -1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, -1, 0, -1, -1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, 1, 0, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, 1, -1, 1, 0, 1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, 1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, -1, 1, -1, 1, -1, 1, 1, 1, 0, -1, 1, -1, 1, 1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, 1, -1, 1, 1, 1, 1, 0, 1, -1, 1, 1, -1, -1, 1, -1, 1, 0, -1, 0, 1, -1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, -1, 1, 0, -1, -1, 1, 1, -1, -1, -1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, -1, 1, 1, 0, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1, -1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, -1, 1, -1, 0, 0, -1, 1, -1, 1, 1, -1, 1, -1, 1, 1, 1, 1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, -1, -1, -1, 1, -1, 1, 1, 1, -1, -1, 1, -1, 1, 1, 1, 1, -1, 1, -1, -1, 1, 1, -1, 1, 1, 1, 1, 0, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, 1, -1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1, -1, -1, 1, -1, 1, 1, 0, 1, -1, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, 1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, -1, -1, -1, -1, 1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, -1, 1, -1, -1, 0, 1, 1, 1, 1, 1, -1, 1, 1, -1, 1, 1, 1, 1, 1, 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1, -1, 1, -1, 1, 1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, 1, -1, -1, -1, 1, -1, 1, 1, -1, 1, 0, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, 0, 1, 1, 1, -1, 1, 1, -1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, 1, -1, 1, 1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, -1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 0, -1, 1, -1, -1, 1, -1, 0, 1, -1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, 1, -1, 1, 1, 0, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, 0, -1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 0, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 0, 1, -1, -1, 1, -1, 0, -1, 1, -1, 1, 1, 1, 0, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1, -1, 1, 1, 1, 1]}
# regnn stoch: regnn_50_50_50_e-3_stoch
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-1, -1, -1, -1, -1, 1, 1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, -1, 1, 1, 1, -1, -1, 1, -1, 1, -1, 0, 0, -1, 1, 0, -1, 1, 1, 1, -1, -1, 1, -1, 1, 1, 1, -1, 1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, -1, 1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, 1, -1, 1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, 1, 1, -1, 1, 1, 1, 1, 1, 1, 0, -1, 1, 1, -1, -1, 1, 1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, 1, -1, 1, -1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, 0, 1, 1, -1, 1, 1, 1, 1, 1, -1, 1, -1, 1, 1, 1, 1, 1, 1, -1, 1, -1, -1, -1, 0, -1, 1, 1, -1, 1, 1, -1, -1, 0, 1, -1, 1, -1, 1, 1, -1, -1, -1, 1, 1, 1, 1, 0, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, -1, 1, 0, 1, -1, -1, -1, -1, -1, 1, 0, 1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, -1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1, -1, -1, 1, 1, 1, -1, -1, 1, 0, 1, -1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1, -1, -1, -1, 1, -1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 0, 1, 1, 1, 0, 1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, 1, 0, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 0, 1, -1, -1, -1, -1, -1, 1, -1, 1, 1, 1, 1, 0, -1, 1, -1, 0, 1, -1, -1, 1, -1, -1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 0, 1, 1, -1, 1, 1, 1, 1, -1, 1, -1, 0, 1, -1, -1, 1, 0, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 0, 0, 1, 1, 1, -1, -1, -1, 0, -1, 1, -1, -1, 1, 1, -1, 1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, 1, 0, 1, -1, 1, 1, 1, 1, -1, 1, 1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, 1, -1, 1, 1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 0, -1, 1, 1, -1, -1, 1, -1, -1, -1, -1, -1, -1, -1, 1, -1, 1, 1, 1, -1, 1, 1, 1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1, -1, -1, 1, 0, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, 0, -1, -1, 1, -1, -1, 1, 0, 1, 1, -1, 0, 1, -1, -1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, -1, 0, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, 1, -1, 1, -1, 1, -1, -1, 0, -1, -1, 0, 1, 1, 1, -1, 1, 1, 0, 1, 1, 1, 1, -1, -1, 1, -1, 1, 1, 0, -1, -1, 1, 1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, -1, -1, -1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, -1, 1, -1, -1, 1, -1, -1, 0, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1, -1, 1, -1, 1, 1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, 1, -1, -1, 1]}
# regnn MCTS: regnn_50_50_50_e-3_stoch_mcts
regmcts = {"1000": [-1, 1, -1, -1, 1, -1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, -1, -1, -1, 1, 1, 1, 1, 0, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, -1, 1, -1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, 1, -1, -1], "2000": [-1, -1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 0, -1, -1, 1, 1, -1, -1, 0, -1, -1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, -1, -1, -1, -1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, 1, 1, 1, 1, 1, 1, 1, 1, -1, 1, -1, -1, -1, 1, -1, -1, 0, 1, -1, 1, -1, 1, 1, -1, 1, -1], "3000": [1, 1, -1, 1, -1, 1, -1, 0, 0, 1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, -1, 1, -1, 1, 1, 0, 1, -1, 0, 1, -1, -1, -1, -1, -1, -1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, 1, 1, 1, 1, 1, 1, 1, -1, 1, -1, -1, 1, 0, 1, -1, -1, 1, 0, 1, -1, 1, 1, 1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, -1, -1], "4000": [1, 1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 0, 1, 1, -1, 1, -1, 1, -1, -1, -1, 0, -1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, -1, -1, -1, -1, -1, 0, -1, 1, 1, -1, -1, -1, 1, -1, 1, 1, -1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1], "5000": [-1, -1, -1, -1, 1, 1, 1, -1, -1, -1, 1, -1, 1, 1, -1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, 1, 1, -1, 1, -1, 1, 1, 1, -1, -1, 1, 1, 1, 1, -1, 1, -1, 1, 1, 1, 1, 1, -1, 1, -1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, -1, -1, -1], "6000": [-1, -1, -1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, -1, 0, -1, -1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, 1, 1, 1, -1, -1, -1, 1, 1, 1, -1, -1, 1, 1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1]}
# cnn det: cnn_10_10_10_e-3_det_1e-1_no_hist
cnndet = {"5000": [1, 0, 1, 1, 1, 1, -1, 1, 1, -1, -1, 0, -1, 0, 1, 1, 1, -1, 1, 0, 1, 0, 0, 1, 0, -1, 0, 1, 0, 0, 1, -1, 0, -1, -1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, -1, -1, -1, 1, -1, 1, 1, -1, 0, 1, 0, -1, 0, 1, 0, 1, -1, -1, 1, 1, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, -1, 0, -1, 1, 0, 1, 1, -1, 0, 1, -1, 0, 1, 0, 0, -1, 1, 1, 0, 1, 0, 1, -1, 0, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, 0, 0, 0, 0, -1, 1, 1, 1, 0, 0, 0, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 0, -1, 1, 0, -1, 0, -1, 0, 0, -1, 0, 0, 1, 0, -1, -1, 0, -1, 1, 1, -1, 1, 1, 1, 1, -1, 1, -1, 0, 1, 1, -1, 1, 1, 1, 1, 1, 1, -1, 1, 0, 0, -1, -1, 1, -1, 0, -1, -1, -1, -1, 1, 1, -1, 0, 1, 0, -1, 0, 0, 1, -1, 0, -1, 1, 1, -1, 0, -1, 1, -1, 1, 1, 1, 1, -1, 0, 1, 1, 0, -1, 0, 0, 1, 1, 0, 0, -1, 0, -1, -1, -1, 1, 1, -1, 0, 1, 0, -1, -1, 0, 1, 0, 1, -1, 0, 1, 0, 1, 0, -1, 1, -1, 1, 1, 0, -1, 1, 1, 0, 0, -1, -1, 1, -1, 0, 1, 0, 0, -1, 1, -1, -1, -1, -1, 1, -1, 1, -1, -1, -1, 1, 1, 0, -1, -1, 1, 1, 0, 1, 1, 0, 1, 0, 1, -1, -1, -1, 1, 0, 0, -1, 1, 1, 1, 1, 1, -1, 1, 1, 0, 1, -1, 1, -1, 1, 1, -1, -1, 0, -1, 0, 1, 1, 1, 1, 0, 0, -1, -1, 1, -1, 0, -1, 1, 0, 1, 0, -1, 0, 1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 0, 0, -1, 0, 1, -1, 1, 1, 0, 0, 1, 1, 1, 1, -1, 1, -1, 1, 0, -1, 1, 1, 0, -1, 1, -1, 0, 0, -1, 1, 1, 1, 0, 1, 1, 1, -1, -1, 1, 0, 1, 1, 1, 1, -1, 1, 0, 1, 0, -1, 1, 0, 0, 1, -1, 1, -1, 0, 0, 0, 0, 0, 1, 0, 0, 1, -1, -1, -1, 1, -1, -1, -1, 1, -1, 0, -1, 1, -1, 1, -1, -1, -1, -1, -1, 1, -1, 1, 1, 1, 1, -1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, -1, 0, 1, -1, 1, 0, 1, 0, 1, -1, 0, 1, 0, -1, 0, 1, -1, 1, -1, 1, 1, -1, -1, -1, 1, 0, 0, 1, -1, -1, 1, 0, 1, -1, -1, 1, 1, 0, 0, 0, -1, 0, 1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 0, -1, 1, 0, 1, 1, 1, -1, 1, -1, 1, -1, 1, -1, 0, 1, 1, -1, 0, 0, -1, 1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 0, -1, 1, -1, 1, -1, 0, 1, -1, 1, 1, -1, 0, 1, -1, 1, 0, 0, -1, 0, 1, 0, -1, 0, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 0, -1, 1, -1, 0, 1, -1, 1, -1, -1, -1, 0, 0, 1, 0, 0, 0, 1, 1, -1, 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1, -1, 1, 1, -1, 1, 1, 1, 0, 1, 1, 1, 1, 1, -1, 1, 1, -1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, 1, 1, -1, 1, -1, 1, 1, 1, 1, 1, 0, 1, 1, -1, 1, 1, 1, 1, 1, -1, 1, -1, 0, 1, 1, 1, 1, 1, 0, -1, 1, 1, -1, 1, -1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 0, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, 1, -1, -1, 1, 1, -1, 1, -1, 1, 1, 0, 1, -1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, -1, 1, -1, -1, 1, 1, 0, 1, 1, 0, 1, 1, 1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, 1, 1, 1, 1, 1, -1, 1, 1, -1, 1, 1, 1, -1, 1, 1, 0, 1, 1, 1, 1, -1, 1, -1, 1, 1, 1, 1, 1, 1, -1, 1, 1, -1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, -1, 1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, -1, 1, -1, -1, 0, 1, 1, 1, 1, -1, 1, 1, 0, 1, 1, 1, 1, 1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1, 1, 1, -1, 1, -1, 1, 0, -1, -1, 1, -1, -1, 0, -1, 1, -1, 1, 1, 1, -1, 1, -1, -1, 1, 0, 1, 1, 0, 1, 1, -1, 1, 0, -1, -1, -1, 1, 1, -1, 1, 0, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, -1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, 1, 1, 1, 1, 1, -1, 1, 0, 1, -1, -1, 1, 1, 1, -1, 1, 1, -1, 1, 1, 1, 1, -1, 1, 1, 1, -1, -1, 0, 0, 0, 1, 1, -1, 1, 1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1, -1, -1, 1, 1, 1, 0, -1, -1, 0, 1, -1, 1, 1, 1, 0, 1, 1, 1, 1, -1, -1, 0, 1, -1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, -1], "200000": [1, 1, -1, -1, -1, 1, -1, 1, -1, -1, 1, 0, -1, 1, 1, 0, 1, -1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, -1, 1, -1, 1, 1, 1, -1, 0, 1, 1, 0, 1, 1, 0, 1, -1, 1, 1, 1, 1, 1, 0, 1, 0, 1, -1, -1, 1, 1, 0, 1, 1, -1, 1, 1, 1, 1, 1, 1, 0, 1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, 1, 1, 0, -1, 0, -1, 1, 1, -1, 1, 0, -1, 1, 1, -1, 0, 1, -1, 0, 1, 1, 1, 1, 1, 1, 1, 1, -1, 1, -1, 1, 1, 1, -1, 1, 0, 1, 1, -1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 0, -1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, -1, 1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, -1, -1, 1, 1, 1, -1, 1, 1, 1, -1, 1, 1, 0, 1, -1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 0, 1, 1, 1, 1, 1, -1, -1, 1, 0, 1, 1, 1, -1, 1, 1, 1, 1, 1, 1, 1, -1, 1, -1, 1, 1, -1, 0, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, 1, -1, -1, 1, -1, -1, 1, -1, 1, 1, 1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, 0, 1, 1, -1, 1, -1, 1, -1, 1, 1, 1, -1, 1, 0, 1, 1, -1, 0, 1, 1, 1, 1, 1, 0, 1, -1, 1, -1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 0, 0, 1, 1, 1, 1, 0, -1, 1, 1, 1, 0, 1, -1, 0, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, 0, 1, -1, 1, 1, 1, -1, 1, 1, 1, 1, -1, 1, -1, -1, 1, 1, 1, 1, 1, -1, 0, 0, -1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 0, 1, 0, 1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, 0, -1, 1, 1, 1, 0, 1, 0, 1, 1, 0, 0, -1, 1, 1, 1, -1, 0, 1, -1, -1, 1, -1, 1, 1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 0, -1, -1, -1, -1, 1, -1, 1, 1, 1, 1, 1, 0, -1, 1, 1, 1, 1, -1, -1, 1, -1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, 0, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, 0, -1, 1, 1, -1, 0, 1, 1, 1, -1, 0, -1, 0, -1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, -1, 0, 1, -1, 0, -1, -1, 1, 1, 0, -1, -1, 0, 1, 1, 1, 1, -1, 1, -1, 1, 0, 1, 1, 1, -1, 1, 1, -1, 1, 1, 1, 0, 1, 1, 1, -1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 0, -1, 0, 1, -1, -1, 0, 1, 1, 1, -1, 1, 0, 0, -1, 1, -1, -1, 0, 1, 1, 1, 1, -1, 1, -1, 1, 1, 0, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, 1, -1, 1, 0, 1, -1, 1, 0, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, -1, 1, 1, -1, -1, 1, 1, 0, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 0, 0, -1, 1, 1, -1, 1, 0, 1, 1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1, -1, -1, 0, 1, 0, 1, 1, 1, 1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, -1, 1, -1, 0, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 0, 1, 1, -1, 1, 1, 1, 0, 1, 1, 1, 1, -1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, 0, -1, 1, -1, 0, -1, -1, 1, 1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, 0, 1, 1, 1, -1, 1, 1, 1, 1, 1, 0, -1, 1, 0, -1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, 1, -1, 1, 0, 1, 0, 1, 1, -1, 1, -1, -1, 1, -1, 1, 0, 1, -1, -1, 1, -1, 0, -1, 1, 1, 1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, 0, -1, 1, -1, -1, -1, 1, 1, -1, 1, 0, 1, 1, -1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, -1, 1, -1, 1, 1, 1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, 1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, 0, 0, 1, -1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1, 1, 1, -1, 1, 0, 1, -1, 1, 1, 1, 1, 1, 1, 1, -1, 1, -1, 0, 1, 1, 1, 0, -1, 1, 1, 1, -1, 1, 1, -1, 1, 1, 1, -1, 1, 1, 1, 1, 1, 1, -1, 1, 1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1]}
# cnn stoch: cnn_10_10_10_e-3_stoch
cnnstoch = {"5000": [1, 1, 1, 0, -1, 1, 1, 1, 1, -1, -1, 0, 1, 1, -1, 1, 0, 0, 1, 1, -1, 1, 1, 1, 0, 0, 1, -1, 0, -1, 1, -1, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, -1, 1, 0, 1, 0, 0, -1, 0, -1, -1, 0, 1, 1, -1, 0, -1, 1, -1, -1, -1, 0, -1, 1, 1, 1, 1, -1, -1, 1, -1, 1, -1, 1, 0, 1, -1, 1, -1, -1, 0, -1, 1, -1, 0, 0, 1, 1, 0, -1, 1, -1, -1, -1, 1, 0, 1, -1, 1, -1, -1, -1, 1, -1, -1, 1, 1, 0, 1, 1, 0, -1, 0, 1, 0, 1, -1, 0, 1, -1, 1, -1, 1, 0, 1, -1, -1, -1, 0, -1, 1, -1, 0, 1, 1, 1, 0, -1, -1, 1, 1, 1, 1, -1, -1, -1, 0, 1, 1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, 0, 0, 1, 1, 1, -1, -1, 1, 1, 0, 0, 0, 1, -1, 1, 0, 1, -1, -1, 1, -1, 0, -1, 1, -1, 1, 1, -1, -1, 1, 0, 1, -1, 1, -1, -1, -1, -1, 1, 0, 0, 1, 1, 1, 1, 0, 1, 1, 0, -1, 1, 0, 1, 1, -1, 0, 1, -1, -1, -1, -1, 1, -1, 1, 1, 1, 1, 0, 1, 0, 1, 1, -1, 1, -1, 0, 1, 0, 1, -1, 1, 0, 1, -1, 0, 1, -1, 1, -1, 0, 1, -1, 1, 1, 1, 0, 0, 1, 1, 1, 0, -1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 0, -1, 1, -1, 1, -1, 0, -1, 0, 0, -1, 1, 1, 0, 1, 0, -1, -1, 1, 0, 0, 1, 1, 1, 1, -1, 0, -1, -1, 1, 1, 1, -1, 1, 1, -1, 1, 0, 1, -1, -1, 1, 1, 1, 1, 0, 1, -1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, -1, 1, -1, 0, 0, 1, -1, 0, 1, 1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, -1, 1, 0, -1, 1, 0, 1, -1, -1, 1, -1, -1, 1, -1, -1, -1, -1, 0, 0, 1, -1, -1, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, -1, 0, 1, -1, -1, 1, 1, -1, 0, -1, 0, -1, 1, 1, 0, 1, -1, 1, 1, 1, 1, 1, 1, 1, -1, 0, -1, -1, -1, 1, -1, -1, 0, -1, 1, 0, 1, -1, -1, 1, 1, 1, 0, 1, -1, -1, 0, 0, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 0, 1, 1, 1, 1, 0, -1, -1, 0, -1, -1, 1, -1, 1, 0, 0, 1, 0, -1, 1, 0, 1, -1, 1, -1, -1, -1, 1, 1, 0, 1, 1, 1, -1, 1, 1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1, -1, -1, -1, 0, 1, 1, 1, -1, -1, 1, 1, 0, 1, -1, 1, 1, 0, 0, -1, 1, 1, -1, 0, -1, -1, 0, 0, -1, 0, 1, 0, 1, -1, 0, 1, -1, -1, 1, 0, 1, 1, -1, -1, -1, 1, -1, 1, 1, 1, -1, 1, -1, 1, 0, -1, 1, -1, -1, 0, 1, -1, -1, -1, -1, -1, 0, 1, 1, -1, 0, 1, 1, -1, 1, 0, 1, -1, 1, -1, 0, -1, -1, 1, 1, 1, -1, 1, 1, 0, -1, -1, -1, -1, 1, 1, 1, -1, 1, 0, 0, 1, 1, -1, -1, 1, -1, -1, 0, -1, 1, 1, -1, 1, -1, 1, 1, 1, 1, 0, 0, 1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, 1, 1, -1, 1, 1, 1, 1, -1, -1, 1, 0, 1, -1, -1, 0, 1, -1, 1, 1, -1, 1, 1, -1, 0, 0, 1, 0, -1, 1, 0, 1, 1, 1, 0, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 0, -1, 0, 1, -1, 1, 0, 0, -1, -1, 1, -1, 0, 1, -1, -1, 1, -1, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, 1, 0, -1, 0, 0, 1, -1, 1, 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 0, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 0, -1, 1, 0, 0, -1, 0, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 0, -1, -1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 0, -1, 1, 0, 1, -1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, -1, 0, -1, 0, 0, -1, -1, 0, 1, 1, -1, 0, 0, 0, -1, -1, -1, 0, -1, 0, 1, 1, 1, -1, 1, 1, 1, 1, 0, -1, -1, -1, 1, 0, 1, -1, 1, -1, 0, 1, 1, 1, 1, 1, 1, 0, -1, -1, -1, -1, 1, -1, 1, 0, 1, -1, 0, 1, -1, 0, -1, 0, -1, 0, 1, -1, 1, 1, -1, -1, 1, -1, 0, -1, 1, -1, 1, 0, 0, -1, 1, 1, 0, 0, 1, -1, 1, -1, 1, 1, 1, 1, 0, -1, 1, 1, 0, 1, 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0, 1, -1, -1, 1, -1, -1, -1, 1, 1, -1, 0, -1, 1, -1, 1, -1, 1, 1, -1, 1, 1, -1, -1, 0, 1, 1, 0, 1, 1, 0, -1, 1, 1, 0, 1, 1, 1, -1, -1, 1, 0, 1, 1, -1, 1, 1, 0, 1, 1, -1, 1, 1, -1, 1, 1, 1, 1, -1, 0, -1, 0, 1, 1, 1, -1, 1, 0, 1, -1, 1, 1, 0, -1, -1, 1, -1, 1, 1, 1, 1, 1, 1, 1, -1, 0, 1, 1, -1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 0, -1, -1, 1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, -1, -1, 1, 1, 1, 0, -1]}
# cnn MCTS: cnn_50_50_50_e-3_stoch_mcts
cnnmcts = {"1000": [1, -1, 1, 1, -1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, -1, -1, 1, -1, 1, -1, -1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, -1, -1, -1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, 0, -1, -1, 1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1], "2000": [-1, -1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 0, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, -1, 1, 1, 1, -1, -1, -1, -1, -1, -1, 1, 1, -1, 1, 1, -1], "3000": [-1, 1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, 0, -1, -1, 0, 1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, 1, 1, 1, 1, 1, 1, -1, 1, -1, -1, 1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, 1, -1, 1], "4000": [-1, 1, 1, -1, -1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 0, -1, 1, 0, -1, 0, -1, -1, 1, -1, -1, -1, -1, -1, 1, -1, -1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 0, -1, 1, -1, 0, -1, -1, 1, -1, -1, 1, -1, 1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, -1, 1, -1, -1], "5000": [1, 1, -1, 1, -1, -1, 1, -1, -1, -1, 1, 1, 1, 1, -1, -1, -1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, -1, 1, -1, 1, 1, -1, 1, 1, 1, 1, -1, 1, -1, -1, -1, -1, -1, -1, 1, -1, 1, 1, 1, -1, 1, -1, 1, 1, -1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, -1, -1, 1, 1, 1, 1, -1, 1, 1], "6000": [1, 1, 1, 1, -1, 1, 1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, 1, 0, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, 0, 1, 1, 1, -1, -1, -1, -1, -1, -1, 1, -1, 1, -1, 1, -1, 1, -1, -1, -1, 1, -1, 1, 1, -1, -1, -1, 1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, -1, -1, -1, -1, 1, -1, 1, 1, 1], "7000": [-1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, 1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, -1, 1, -1, -1, 1, -1, 1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1, -1, -1, 1, -1, 1, 1, 1, 0, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, 1, -1], "8000": [1, -1, 1, -1, 1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 0, -1, 1, -1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, 1, -1, 1, 1, -1, -1, 1, -1, 1, -1, 1, 1, 1, -1, -1, -1, -1, 1, -1, 1, 1, 1, 1, -1, 0, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, 1, 1, 1], "9000": [0, 1, 1, -1, -1, 0, -1, -1, 1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, 1, -1, -1, -1, 1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1, -1, -1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1, 1, -1, 1, -1, 0, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, 1, -1, 0, 1, -1, 1, 1], "10000": [1, 1, -1, 1, -1, 1, 1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, 1, 1, -1, 0, -1, -1, -1, -1, -1, -1, 1, -1, 1, -1, 1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, 1, -1, 0, -1, 1, 1, 1, 1, -1, 1, -1, 0, -1, -1, -1, 1, -1, -1, 1, 1, -1]}
# The following variables can be loaded: regdet regstoch regmcts cnndet cnnstoch cnnmcts
winrate = []
lossrate = []
drawrate = []
games = []
for key,value in cnnmcts.items():
winrate.append(value.count(1) / len(value))
lossrate.append(value.count(-1) / len(value))
drawrate.append(value.count(0) / len(value))
games.append(key)
fontsize = 16
plt.rc('xtick', labelsize=fontsize)
plt.rc('ytick', labelsize=fontsize)
plt.rcParams.update({'font.size': fontsize})
fig, ax = plt.subplots()
ax.xaxis.offsetText.set_fontsize(fontsize)
plt.ticklabel_format( style='sci', axis='x', scilimits=(0, 3))
plt.plot(np.asfarray(games), winrate, np.asfarray(games), lossrate, np.asfarray(games), drawrate)
plt.legend(['win rate','loss rate','draw rate'])
plt.xlabel('Trained games')
plt.ylabel('rate')
plt.ylim([0,1])
plt.show()
| 8,069.607843 | 135,820 | 0.299303 | 121,932 | 411,550 | 1.009907 | 0.001066 | 1.506708 | 2.000845 | 2.380283 | 0.993357 | 0.992951 | 0.992107 | 0.991026 | 0.990905 | 0.99071 | 0 | 0.422413 | 0.296151 | 411,550 | 50 | 135,821 | 8,231 | 0.002693 | 0.00077 | 0 | 0 | 0 | 0 | 0.001875 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.066667 | 0 | 0.066667 | 0 | 0 | 0 | 1 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 |
c57e708bba0f75345ef0aa555efd953601502869 | 16 | py | Python | .history/py/main_20201230141954.py | minefarmer/Comprehensive-Python | f97b9b83ec328fc4e4815607e6a65de90bb8de66 | [
"Unlicense"
] | null | null | null | .history/py/main_20201230141954.py | minefarmer/Comprehensive-Python | f97b9b83ec328fc4e4815607e6a65de90bb8de66 | [
"Unlicense"
] | null | null | null | .history/py/main_20201230141954.py | minefarmer/Comprehensive-Python | f97b9b83ec328fc4e4815607e6a65de90bb8de66 | [
"Unlicense"
] | null | null | null | print(36 // 7)
| 5.333333 | 14 | 0.5 | 3 | 16 | 2.666667 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.25 | 0.25 | 16 | 2 | 15 | 8 | 0.416667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 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 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 |
c5819ccb0a2711fc0a6cdec94acf5058280e386a | 637 | py | Python | game/characters/evil.py | fernandoDBR/fernandodbr | 5cb9d65358411cb4504799c9901c9a49618ebf66 | [
"MIT"
] | null | null | null | game/characters/evil.py | fernandoDBR/fernandodbr | 5cb9d65358411cb4504799c9901c9a49618ebf66 | [
"MIT"
] | null | null | null | game/characters/evil.py | fernandoDBR/fernandodbr | 5cb9d65358411cb4504799c9901c9a49618ebf66 | [
"MIT"
] | null | null | null | import game.characters.character as ch
import game.player as pl
class Corinthiano(ch.Character):
def __init__(self, player: pl.Player):
super().__init__(player, 'evil')
class Maradona(ch.Character):
def __init__(self, player: pl.Player):
super().__init__(player, 'evil')
class Dunga(ch.Character):
def __init__(self, player: pl.Player):
super().__init__(player, 'evil')
class Bruno(ch.Character):
def __init__(self, player: pl.Player):
super().__init__(player, 'evil')
class Xuxa(ch.Character):
def __init__(self, player: pl.Player):
super().__init__(player, 'evil')
| 22.75 | 42 | 0.66876 | 81 | 637 | 4.765432 | 0.234568 | 0.142487 | 0.181347 | 0.233161 | 0.764249 | 0.764249 | 0.764249 | 0.764249 | 0.764249 | 0.764249 | 0 | 0 | 0.185243 | 637 | 27 | 43 | 23.592593 | 0.743738 | 0 | 0 | 0.588235 | 0 | 0 | 0.031397 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.294118 | false | 0 | 0.117647 | 0 | 0.705882 | 0 | 0 | 0 | 0 | null | 0 | 1 | 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 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 9 |
c5f24ee4223e2f2cbd1d090457013ca8da67c414 | 3,297 | py | Python | tests/dictlrn/test_onlinecdl.py | nikzasel/sporco | cc6cc8fb38d92cf61e2bb7a41660bf17c12f05e4 | [
"BSD-3-Clause"
] | 1 | 2019-07-23T11:27:41.000Z | 2019-07-23T11:27:41.000Z | tests/dictlrn/test_onlinecdl.py | wxwoods/sporco | 7b0eefea8b6c720ab9a4998a7c55237445765738 | [
"BSD-3-Clause"
] | null | null | null | tests/dictlrn/test_onlinecdl.py | wxwoods/sporco | 7b0eefea8b6c720ab9a4998a7c55237445765738 | [
"BSD-3-Clause"
] | null | null | null | from __future__ import division
from builtins import object
import numpy as np
from sporco.dictlrn import onlinecdl
class TestSet01(object):
def setup_method(self, method):
N = 16
Nd = 5
M = 4
K = 3
np.random.seed(12345)
self.D0 = np.random.randn(Nd, Nd, M)
self.S = np.random.randn(N, N, K)
def test_01(self):
lmbda = 1e-1
opt = onlinecdl.OnlineConvBPDNDictLearn.Options()
try:
b = onlinecdl.OnlineConvBPDNDictLearn(self.D0, lmbda, opt=opt)
for it in range(10):
img_index = np.random.randint(0, self.S.shape[-1])
b.solve(self.S[..., img_index])
except Exception as e:
print(e)
assert 0
def test_02(self):
lmbda = 1e-1
opt = onlinecdl.OnlineConvBPDNDictLearn.Options()
try:
b = onlinecdl.OnlineConvBPDNDictLearn(self.D0, lmbda, opt=opt)
for it in range(10):
img_index = np.random.randint(0, self.S.shape[-1])
b.solve(self.S[..., [img_index]])
except Exception as e:
print(e)
assert 0
def test_03(self):
lmbda = 1e-1
W = np.random.randn(*self.S.shape[0:2])
opt = onlinecdl.OnlineConvBPDNMaskDictLearn.Options()
try:
b = onlinecdl.OnlineConvBPDNMaskDictLearn(self.D0, lmbda, opt=opt)
for it in range(10):
img_index = np.random.randint(0, self.S.shape[-1])
b.solve(self.S[..., img_index], W)
except Exception as e:
print(e)
assert 0
class TestSet02(object):
def setup_method(self, method):
N = 16
Nc = 3
Nd = 5
M = 4
K = 3
np.random.seed(12345)
self.D0 = np.random.randn(Nd, Nd, Nc, M)
self.S = np.random.randn(N, N, Nc, K)
def test_01(self):
lmbda = 1e-1
opt = onlinecdl.OnlineConvBPDNDictLearn.Options()
try:
b = onlinecdl.OnlineConvBPDNDictLearn(self.D0, lmbda, opt=opt)
for it in range(10):
img_index = np.random.randint(0, self.S.shape[-1])
b.solve(self.S[..., img_index])
except Exception as e:
print(e)
assert 0
def test_02(self):
lmbda = 1e-1
opts = onlinecdl.OnlineConvBPDNDictLearn.Options(
{'CBPDN': {'MaxMainIter': 50, 'AutoRho': {'Enabled': False}}})
try:
b = onlinecdl.OnlineConvBPDNDictLearn(self.D0, lmbda, opt=opts)
for it in range(10):
img_index = np.random.randint(0, self.S.shape[-1])
b.solve(self.S[..., [img_index]])
except Exception as e:
print(e)
assert 0
def test_03(self):
lmbda = 1e-1
W = np.random.randn(*self.S.shape[0:3])
opt = onlinecdl.OnlineConvBPDNMaskDictLearn.Options()
try:
b = onlinecdl.OnlineConvBPDNMaskDictLearn(self.D0, lmbda, opt=opt)
for it in range(10):
img_index = np.random.randint(0, self.S.shape[-1])
b.solve(self.S[..., img_index], W)
except Exception as e:
print(e)
assert 0
| 28.669565 | 78 | 0.532909 | 413 | 3,297 | 4.196126 | 0.174334 | 0.046163 | 0.046163 | 0.041546 | 0.875361 | 0.875361 | 0.875361 | 0.875361 | 0.784189 | 0.784189 | 0 | 0.043336 | 0.349105 | 3,297 | 114 | 79 | 28.921053 | 0.764212 | 0 | 0 | 0.826087 | 0 | 0 | 0.009099 | 0 | 0 | 0 | 0 | 0 | 0.065217 | 1 | 0.086957 | false | 0 | 0.043478 | 0 | 0.152174 | 0.065217 | 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 |
c5f996a0a018ba7924ffb50632d8e91f9bdfe4d8 | 11,948 | py | Python | regress/tests-flowdb.py | fp7-ofelia/VeRTIGO | 11f39f819196c8352611852435dea17bc6a2292f | [
"BSD-3-Clause"
] | 2 | 2016-10-12T08:20:00.000Z | 2017-05-09T13:13:18.000Z | regress/tests-flowdb.py | fp7-ofelia/VeRTIGO | 11f39f819196c8352611852435dea17bc6a2292f | [
"BSD-3-Clause"
] | null | null | null | regress/tests-flowdb.py | fp7-ofelia/VeRTIGO | 11f39f819196c8352611852435dea17bc6a2292f | [
"BSD-3-Clause"
] | 1 | 2020-10-01T07:57:34.000Z | 2020-10-01T07:57:34.000Z | #!/usr/bin/python
from fvregress import *
import string # really? you have to do this?
import sys
import xmlrpclib
# start up a flowvisor with 1 switch (default) and two guests
#h= HyperTest(guests=[('localhost',54321),('localhost',54322)],
# hyperargs=["-v0", "-a", "flowvisor-conf.d-base", "ptcp:%d"% HyperTest.OFPORT],valgrind=valgrindArgs)
wantPause = True
def test_failed(s):
s = "TEST FAILED!!!: " + s
print s
raise Exception(s)
def test_flowdb(s, count, test_type, display=False):
print "Testing getSwitchFlowDB: %s" % test_type
flows = s.api.getSwitchFlowDB("1")
print "Correctly got %d flows" % len(flows)
if display:
for flow in flows:
print "==== Got flow "
for key,val in flow.iteritems():
print " %s=%s" % (key,val)
if len(flows) != count:
test_failed("Wanted %d flows, got %d" % (count, len(flows)))
print " SUCCESS"
print "Testing getSliceRewriteDB %s" % test_type
rewriteDB = s.api.getSliceRewriteDB("alice","1")
print "Correctly got %d rewrites" % len(rewriteDB)
if display:
for flow, rewrites in rewriteDB.iteritems():
print "==== Got original: %s" % flow
for rewrite in rewrites:
print "--------- Rewrite"
for key,val in rewrite.iteritems():
print " => %s=%s" % (key,val)
if len(rewriteDB) != count:
test_failed("Wanted %d rewrites, got %d" % (count, len(rewriteDB)))
print " SUCCESS"
try:
h= FvRegress()
port=16633
h.addController("alice", 54321)
h.addController("bob", 54322)
if len(sys.argv) > 1 :
wantPause = False
port=int(sys.argv[1])
timeout=60
h.useAlreadyRunningFlowVisor(port)
else:
wantPause = False
timeout=5
h.spawnFlowVisor(configFile="tests-flowdb.xml")
h.lamePause()
h.addSwitch(name='switch1',port=port)
h.addSwitch(name='switch2',port=port)
user = "fvadmin"
passwd = "0fw0rk"
rpcport = 18080
s = xmlrpclib.ServerProxy("https://" + user + ":" + passwd + "@localhost:" + str(rpcport) + "/xmlrpc")
s.verbose=True
if wantPause:
doPause("start tests")
#################################### Start Tests
flow_mod1 = FvRegress.OFVERSION + \
'''0e 00 50 40 00 90 b6 00 00 00 00 00 00 00 00
00 00 00 02 00 0c 29 c6 36 8d ff ff 00 00 08 06
00 02 00 00 c0 01 f9 7b c0 01 f9 79 00 00 00 00
00 00 00 00 00 00 00 00 00 00 00 05 00 00 80 00
00 00 01 6f 00 00 00 01 00 00 00 08 00 02 00 00'''
flow_mod2 = FvRegress.OFVERSION + \
'''0e 00 50 40 00 90 b6 00 00 00 00 00 00 00 00
00 00 00 02 22 0c 29 c6 36 8d ff ff 00 00 08 06
00 02 00 00 c0 01 f9 7b c0 01 f9 79 00 00 00 00
00 00 00 00 00 00 00 00 00 00 00 05 00 00 80 00
00 00 01 6f 00 00 00 01 00 00 00 08 00 02 00 00'''
flow_mod3 = FvRegress.OFVERSION + \
'''0e 00 50 40 00 90 b6 00 00 00 00 00 00 00 00
00 00 00 02 33 0c 29 c6 36 8d ff ff 00 00 08 06
00 02 00 00 c0 01 f9 7b c0 01 f9 79 00 00 00 00
00 00 00 00 00 00 00 00 00 00 00 05 00 00 80 00
00 00 01 6f 00 00 00 01 00 00 00 08 ff fc 00 00'''
flow_mod3_after = FvRegress.OFVERSION + \
'''0e 00 58 00 00 01 04 00 00 00 00 00 00 00 00
00 00 00 02 33 0c 29 c6 36 8d ff ff 00 00 08 06
00 02 00 00 c0 01 f9 7b c0 01 f9 79 00 00 00 00
00 00 00 00 00 00 00 00 00 00 00 05 00 00 80 00
00 00 01 6f 00 00 00 01 00 00 00 08 00 02 00 00
00 00 00 08 00 03 00 00'''
h.runTest(name="flowdb install",timeout=timeout, events= [
# send flow_mod, make sure it succeeds
TestEvent( "send","guest",'alice', flow_mod1),
TestEvent( "recv","switch",'switch1', flow_mod1),
TestEvent( "send","guest",'alice', flow_mod2),
TestEvent( "recv","switch",'switch1', flow_mod2),
# this test sends an OFPP_ALL and make sures it expands
# FIXME: fix API so we can test if the expand worked...
# right now, this test is half-assed
TestEvent( "send","guest",'alice', flow_mod3),
TestEvent( "recv","switch",'switch1', flow_mod3_after),
])
####################################
test_flowdb(s, 0, "flowdb disabled")
#################################### Start Tests
print "Testing setConfig track_flows=True"
try:
if not s.api.setConfig("flowvisor!track_flows","True"):
test_failed("setConfig returned False")
else:
print " SUCCESS"
except StandardError,e :
test_failed("setConfig returned: %s" % str(e))
#################################### Start Tests
flow_mod1 = FvRegress.OFVERSION + \
'''0e 00 50 40 00 90 b6 00 00 00 00 00 00 00 00
00 00 00 02 00 0c 29 c6 36 8d ff ff 00 00 08 06
00 02 00 00 c0 01 f9 7b c0 01 f9 79 00 00 00 00
00 00 00 00 00 00 00 00 00 00 00 05 00 00 80 00
00 00 01 6f 00 00 00 01 00 00 00 08 00 02 00 00'''
flow_mod2 = FvRegress.OFVERSION + \
'''0e 00 50 40 00 90 b6 00 00 00 00 00 00 00 00
00 00 00 02 22 0c 29 c6 36 8d ff ff 00 00 08 06
00 02 00 00 c0 01 f9 7b c0 01 f9 79 00 00 00 00
00 00 00 00 00 00 00 00 00 00 00 05 00 00 80 00
00 00 01 6f 00 00 00 01 00 00 00 08 00 02 00 00'''
flow_mod3 = FvRegress.OFVERSION + \
'''0e 00 50 40 00 90 b6 00 00 00 00 00 00 00 00
00 00 00 02 33 0c 29 c6 36 8d ff ff 00 00 08 06
00 02 00 00 c0 01 f9 7b c0 01 f9 79 00 00 00 00
00 00 00 00 00 00 00 00 00 00 00 05 00 00 80 00
00 00 01 6f 00 00 00 01 00 00 00 08 ff fc 00 00'''
flow_mod3_after = FvRegress.OFVERSION + \
'''0e 00 58 00 00 01 04 00 00 00 00 00 00 00 00
00 00 00 02 33 0c 29 c6 36 8d ff ff 00 00 08 06
00 02 00 00 c0 01 f9 7b c0 01 f9 79 00 00 00 00
00 00 00 00 00 00 00 00 00 00 00 05 00 00 80 00
00 00 01 6f 00 00 00 01 00 00 00 08 00 02 00 00
00 00 00 08 00 03 00 00'''
h.runTest(name="flowdb install",timeout=timeout, events= [
# send flow_mod, make sure it succeeds
TestEvent( "send","guest",'alice', flow_mod1),
TestEvent( "recv","switch",'switch1', flow_mod1),
TestEvent( "send","guest",'alice', flow_mod2),
TestEvent( "recv","switch",'switch1', flow_mod2),
# this test sends an OFPP_ALL and make sures it expands
# FIXME: fix API so we can test if the expand worked...
# right now, this test is half-assed
TestEvent( "send","guest",'alice', flow_mod3),
TestEvent( "recv","switch",'switch1', flow_mod3_after),
])
####################################
test_flowdb(s, 3, "flowdb enabled")
####################################
flow_expire1 = FvRegress.OFVERSION + \
'''0b 00 58 00 00 00 01
00 00 00 00 00 00 00 00 00 00 00 02 00 0c 29 c6
36 8d ff ff 00 00 08 06 00 02 00 00 c0 01 f9 7b
c0 01 f9 79 00 00 00 00
00 00 00 00 00 00 00 00 80 00 00 00 00 00 00 00
00 00 00 0b 00 00 00 00 00 00 00 00 00 00 01 e1
00 00 00 00 00 00 02 58
'''
h.runTest(name="flowdb flow remove",timeout=timeout, events= [
# send flow_mod, make sure it succeeds
TestEvent( "send","switch",'switch1', flow_expire1),
TestEvent( "recv","guest",'alice', flow_expire1),
])
#########################################
test_flowdb(s, 2, "flow removed")
#########################################
flow_del_all = FvRegress.OFVERSION + \
'''0e 00 48 40 00 90 b6 ff ff ff ff 00 00 00 00
00 00 00 02 00 0c 29 c6 36 8d ff ff 00 00 08 06
00 00 00 00 c0 01 f9 7b c0 01 f9 79 00 00 00 00
00 00 00 00 00 00 00 00 00 03 00 05 00 00 80 00
00 00 01 6f 00 00 00 01'''
fm_expand1 = FvRegress.OFVERSION + \
'''0e 00 48 00 00 01 08 00 3f ff fa 00 00 00 00
00 00 00 02 00 00 00 00 00 00 00 00 00 00 00 00
00 00 00 00 c0 01 f9 7b c0 01 f9 79 00 00 00 00
00 00 00 00 00 00 00 00 00 03 00 05 00 00 80 00
00 00 01 6f 00 00 00 01'''
fm_expand2 = FvRegress.OFVERSION + \
'''0e 00 48 00 00 01 08 00 3f ff fa 00 00 00 01
00 00 00 02 00 00 00 00 00 00 00 00 00 00 00 00
00 00 00 00 c0 01 f9 7b c0 01 f9 79 00 00 00 00
00 00 00 00 00 00 00 00 00 03 00 05 00 00 80 00
00 00 01 6f 00 00 00 01'''
fm_expand3 = FvRegress.OFVERSION + \
'''0e 00 48 00 00 01 08 00 3f ff fa 00 02 00 00
00 00 00 02 00 00 00 00 00 00 00 00 00 00 00 00
00 00 00 00 c0 01 f9 7b c0 01 f9 79 00 00 00 00
00 00 00 00 00 00 00 00 00 03 00 05 00 00 80 00
00 00 01 6f 00 00 00 01'''
fm_expand4 = FvRegress.OFVERSION + \
'''0e 00 48 00 00 01 08 00 3f ff fa 00 02 00 01
00 00 00 02 00 00 00 00 00 00 00 00 00 00 00 00
00 00 00 00 c0 01 f9 7b c0 01 f9 79 00 00 00 00
00 00 00 00 00 00 00 00 00 03 00 05 00 00 80 00
00 00 01 6f 00 00 00 01'''
fm_expand5 = FvRegress.OFVERSION + \
'''0e 00 48 00 00 01 08 00 3f ff fa 00 03 00 00
00 00 00 02 00 00 00 00 00 00 00 00 00 00 00 00
00 00 00 00 c0 01 f9 7b c0 01 f9 79 00 00 00 00
00 00 00 00 00 00 00 00 00 03 00 05 00 00 80 00
00 00 01 6f 00 00 00 01'''
fm_expand6 = FvRegress.OFVERSION + \
'''0e 00 48 00 00 01 08 00 3f ff fa 00 03 00 01
00 00 00 02 00 00 00 00 00 00 00 00 00 00 00 00
00 00 00 00 c0 01 f9 7b c0 01 f9 79 00 00 00 00
00 00 00 00 00 00 00 00 00 03 00 05 00 00 80 00
00 00 01 6f 00 00 00 01'''
h.runTest(name="flowdb del all",timeout=timeout, events= [
# send flow_mod, make sure it succeeds
TestEvent( "send","guest",'alice', flow_del_all),
TestEvent( "recv","switch",'switch1', fm_expand1),
TestEvent( "recv","switch",'switch1', fm_expand2),
TestEvent( "recv","switch",'switch1', fm_expand3),
TestEvent( "recv","switch",'switch1', fm_expand4),
TestEvent( "recv","switch",'switch1', fm_expand5),
TestEvent( "recv","switch",'switch1', fm_expand6),
])
#########################################
test_flowdb(s, 0, "flow all deleted", display=True)
#########################################
# more tests for this setup HERE
#################################### End Tests
finally:
if wantPause:
doPause("start cleanup")
h.cleanup()
| 48.177419 | 106 | 0.495146 | 1,902 | 11,948 | 3.076761 | 0.109884 | 0.394395 | 0.454204 | 0.490772 | 0.690362 | 0.643541 | 0.643199 | 0.63944 | 0.630212 | 0.630212 | 0 | 0.322102 | 0.396384 | 11,948 | 247 | 107 | 48.37247 | 0.489323 | 0.065534 | 0 | 0.327731 | 0 | 0 | 0.176537 | 0.003936 | 0 | 0 | 0 | 0.008097 | 0 | 0 | null | null | 0.016807 | 0.033613 | null | null | 0.117647 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
a867b25698e7e0c6daf40b3bdf5e385d10f1dc3a | 55 | py | Python | surrol/algorithms/__init__.py | rokas-bendikas/SurRoL | 4b347469c61ea2893e67062ac5be630f088e01bc | [
"MIT"
] | null | null | null | surrol/algorithms/__init__.py | rokas-bendikas/SurRoL | 4b347469c61ea2893e67062ac5be630f088e01bc | [
"MIT"
] | null | null | null | surrol/algorithms/__init__.py | rokas-bendikas/SurRoL | 4b347469c61ea2893e67062ac5be630f088e01bc | [
"MIT"
] | null | null | null | from surrol.algorithms.td3_her_demo import TD3_HER_DEMO | 55 | 55 | 0.909091 | 10 | 55 | 4.6 | 0.7 | 0.26087 | 0.434783 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.038462 | 0.054545 | 55 | 1 | 55 | 55 | 0.846154 | 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 |
a8c64395e01c9318901b714cd96014f6ff75f0d3 | 2,999 | py | Python | py/g1/backgrounds/tests/test_consoles.py | clchiou/garage | 446ff34f86cdbd114b09b643da44988cf5d027a3 | [
"MIT"
] | 3 | 2016-01-04T06:28:52.000Z | 2020-09-20T13:18:40.000Z | py/g1/backgrounds/tests/test_consoles.py | clchiou/garage | 446ff34f86cdbd114b09b643da44988cf5d027a3 | [
"MIT"
] | null | null | null | py/g1/backgrounds/tests/test_consoles.py | clchiou/garage | 446ff34f86cdbd114b09b643da44988cf5d027a3 | [
"MIT"
] | null | null | null | import unittest
import unittest.mock
from g1.backgrounds import consoles
class ConsolesTest(unittest.TestCase):
def setUp(self):
super().setUp()
self.mock_sock = unittest.mock.Mock(spec_set=['send', 'recv'])
self.console = consoles.SocketConsole(self.mock_sock)
def assert_buffer(self, buffer, lines):
self.assertEqual(self.console._SocketConsole__buffer, buffer)
self.assertEqual(self.console._SocketConsole__lines, lines)
def test_raw_input_one_byte_per_chunk(self):
data = b'hello\r\nworld\n\r\n\n\nfoobar'
self.mock_sock.recv.side_effect = (
[data[i:i + 1] for i in range(len(data))] + [b'']
)
self.assert_buffer([], [])
self.assertEqual(self.console.raw_input(), 'hello')
self.assert_buffer([], [])
self.assertEqual(self.console.raw_input(), 'world')
self.assert_buffer([], [])
self.assertEqual(self.console.raw_input(), '')
self.assert_buffer([], [])
self.assertEqual(self.console.raw_input(), '')
self.assert_buffer([], [])
self.assertEqual(self.console.raw_input(), '')
self.assert_buffer([], [])
self.assertEqual(self.console.raw_input(), 'foobar')
self.assert_buffer([], [None])
with self.assertRaises(EOFError):
self.console.raw_input()
self.assert_buffer([], [None])
with self.assertRaises(EOFError):
self.console.raw_input()
self.assert_buffer([], [None])
def test_raw_input_one_chunk(self):
data = b'hello\r\nworld\n\r\n\n\nfoobar'
self.mock_sock.recv.side_effect = [data, b'']
self.assert_buffer([], [])
self.assertEqual(self.console.raw_input(), 'hello')
self.assert_buffer([b'foobar'], ['world', '', '', ''])
self.assertEqual(self.console.raw_input(), 'world')
self.assert_buffer([b'foobar'], ['', '', ''])
self.assertEqual(self.console.raw_input(), '')
self.assert_buffer([b'foobar'], ['', ''])
self.assertEqual(self.console.raw_input(), '')
self.assert_buffer([b'foobar'], [''])
self.assertEqual(self.console.raw_input(), '')
self.assert_buffer([b'foobar'], [])
self.assertEqual(self.console.raw_input(), 'foobar')
self.assert_buffer([], [None])
with self.assertRaises(EOFError):
self.console.raw_input()
self.assert_buffer([], [None])
with self.assertRaises(EOFError):
self.console.raw_input()
self.assert_buffer([], [None])
def test_raw_input_empty(self):
self.mock_sock.recv.return_value = b''
self.assert_buffer([], [])
with self.assertRaises(EOFError):
self.console.raw_input()
self.assert_buffer([], [None])
with self.assertRaises(EOFError):
self.console.raw_input()
self.assert_buffer([], [None])
if __name__ == '__main__':
unittest.main()
| 31.904255 | 70 | 0.605202 | 343 | 2,999 | 5.069971 | 0.172012 | 0.151811 | 0.193214 | 0.196665 | 0.79586 | 0.731455 | 0.731455 | 0.731455 | 0.731455 | 0.731455 | 0 | 0.000865 | 0.22941 | 2,999 | 93 | 71 | 32.247312 | 0.751623 | 0 | 0 | 0.617647 | 0 | 0 | 0.047683 | 0.020007 | 0 | 0 | 0 | 0 | 0.617647 | 1 | 0.073529 | false | 0 | 0.044118 | 0 | 0.132353 | 0 | 0 | 0 | 0 | null | 0 | 1 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
a8cb78fb9280036792e4cb5982fa8763ba08faea | 116 | py | Python | src/masonite/inertia/helpers.py | girardinsamuel/inertia-masonite | aeda235f5ab7df4c51e914d099fdfe307df7c2ea | [
"MIT"
] | 1 | 2020-11-09T12:22:53.000Z | 2020-11-09T12:22:53.000Z | src/masonite/inertia/helpers.py | girardinsamuel/inertia-masonite | aeda235f5ab7df4c51e914d099fdfe307df7c2ea | [
"MIT"
] | 9 | 2020-09-18T13:00:40.000Z | 2020-09-23T21:28:42.000Z | src/masonite/inertia/helpers.py | girardinsamuel/inertia-masonite | aeda235f5ab7df4c51e914d099fdfe307df7c2ea | [
"MIT"
] | null | null | null | from jinja2 import Markup
def inertia():
return Markup("<div id='app' data-page='{{ page | safe }}'></div>")
| 16.571429 | 71 | 0.612069 | 16 | 116 | 4.4375 | 0.8125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010526 | 0.181034 | 116 | 6 | 72 | 19.333333 | 0.736842 | 0 | 0 | 0 | 0 | 0 | 0.434783 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | true | 0 | 0.333333 | 0.333333 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 7 |
a8cd951e2e4738d63d81a3c380a033ea4416f9ac | 100 | py | Python | example_python_proj/my_print.py | ryansingman/example-python-proj | 9c165ce7262e6f27b1d561c7d1e132b01f3f1f1d | [
"MIT"
] | null | null | null | example_python_proj/my_print.py | ryansingman/example-python-proj | 9c165ce7262e6f27b1d561c7d1e132b01f3f1f1d | [
"MIT"
] | null | null | null | example_python_proj/my_print.py | ryansingman/example-python-proj | 9c165ce7262e6f27b1d561c7d1e132b01f3f1f1d | [
"MIT"
] | 1 | 2021-04-14T23:14:19.000Z | 2021-04-14T23:14:19.000Z | from typing import Any
def my_print(print_str: str) -> None:
print(f"my_print: {print_str}")
| 14.285714 | 37 | 0.69 | 17 | 100 | 3.823529 | 0.588235 | 0.215385 | 0.369231 | 0.461538 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.18 | 100 | 6 | 38 | 16.666667 | 0.792683 | 0 | 0 | 0 | 0 | 0 | 0.212121 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0.333333 | 0 | 0.666667 | 0.666667 | 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 | 1 | 0 | 9 |
7640228a0e5b815ce20e5e88e3e0aa0c1f7871f8 | 20,788 | py | Python | tests/popmon/analysis/test_functions.py | Sharath302/popmon | 43755048ad419109afabaca6c81b50b4e39c60b7 | [
"MIT"
] | 265 | 2020-04-27T20:02:23.000Z | 2022-03-31T15:23:44.000Z | tests/popmon/analysis/test_functions.py | Sharath302/popmon | 43755048ad419109afabaca6c81b50b4e39c60b7 | [
"MIT"
] | 46 | 2020-05-22T16:10:01.000Z | 2022-01-26T15:31:10.000Z | tests/popmon/analysis/test_functions.py | Sharath302/popmon | 43755048ad419109afabaca6c81b50b4e39c60b7 | [
"MIT"
] | 20 | 2020-04-30T07:09:52.000Z | 2022-03-27T05:58:53.000Z | import numpy as np
import pandas as pd
import pytest
from popmon import resources
from popmon.analysis.apply_func import ApplyFunc
from popmon.analysis.comparison import (
ExpandingNormHistComparer,
ReferenceNormHistComparer,
RollingNormHistComparer,
)
from popmon.analysis.functions import (
expand,
expand_norm_hist_mean_cov,
expanding_hist,
normalized_hist_mean_cov,
relative_chi_squared,
roll,
roll_norm_hist_mean_cov,
rolling_hist,
)
from popmon.base import Pipeline
from popmon.hist.hist_splitter import HistSplitter
from popmon.io import JsonReader
def test_roll():
df = pd.DataFrame({"a": np.arange(100)})
rdf = roll(df, window=5, shift=1)
arr = rdf["a"].values[-1]
check = np.array([94, 95, 96, 97, 98])
np.testing.assert_array_equal(arr, check)
def test_expand():
df = pd.DataFrame({"a": np.arange(10)})
edf = expand(df, shift=1)
arr = edf["a"].values[-1]
check = np.array([0, 1, 2, 3, 4, 5, 6, 7, 8])
np.testing.assert_array_equal(arr, check)
def test_expanding_hist():
hist_list = [
"date:country",
"date:bankrupt",
"date:num_employees",
"date:A_score",
"date:A_score:num_employees",
]
pipeline = Pipeline(
modules=[
JsonReader(
file_path=resources.data("example_histogram.json"),
store_key="example_hist",
),
HistSplitter(
read_key="example_hist", store_key="output_hist", features=hist_list
),
ApplyFunc(
apply_to_key="output_hist",
apply_funcs=[
{
"func": expanding_hist,
"shift": 1,
"suffix": "sum",
"entire": True,
"hist_name": "histogram",
}
],
),
]
)
datastore = pipeline.transform(datastore={})
df = datastore["output_hist"]["num_employees"]
h = df["histogram_sum"].values[-1]
bin_entries = h.bin_entries()
check = np.array(
[
11.0,
1.0,
1.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
1.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
1.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
1.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
1.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
1.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
1.0,
]
)
np.testing.assert_array_almost_equal(bin_entries, check)
def test_rolling_hist():
hist_list = [
"date:country",
"date:bankrupt",
"date:num_employees",
"date:A_score",
"date:A_score:num_employees",
]
pipeline = Pipeline(
modules=[
JsonReader(
file_path=resources.data("example_histogram.json"),
store_key="example_hist",
),
HistSplitter(
read_key="example_hist", store_key="output_hist", features=hist_list
),
ApplyFunc(
apply_to_key="output_hist",
apply_funcs=[
{
"func": rolling_hist,
"window": 5,
"shift": 1,
"suffix": "sum",
"entire": True,
"hist_name": "histogram",
}
],
),
]
)
datastore = pipeline.transform(datastore={})
df = datastore["output_hist"]["num_employees"]
h = df["histogram_sum"].values[-2]
bin_entries = h.bin_entries()
check = np.array(
[
4.0,
1.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
1.0,
]
)
np.testing.assert_array_almost_equal(bin_entries, check)
def test_normalized_hist_mean_cov():
hist_list = [
"date:country",
"date:bankrupt",
"date:num_employees",
"date:A_score",
"date:A_score:num_employees",
]
pipeline = Pipeline(
modules=[
JsonReader(
file_path=resources.data("example_histogram.json"),
store_key="example_hist",
),
HistSplitter(
read_key="example_hist", store_key="output_hist", features=hist_list
),
ApplyFunc(
apply_to_key="output_hist",
assign_to_key="output_hist",
apply_funcs=[{"func": normalized_hist_mean_cov, "suffix": ""}],
),
]
)
datastore = pipeline.transform(datastore={})
assert "output_hist" in datastore
for f in [
"A_score",
"A_score:num_employees",
"bankrupt",
"country",
"num_employees",
]:
assert f in datastore["output_hist"]
df = datastore["output_hist"]["A_score"]
check = np.array(
[
[0.22916667, -0.01041667, -0.0625, -0.13541667, -0.02083333],
[-0.01041667, 0.015625, 0.01041667, -0.01354167, -0.00208333],
[-0.0625, 0.01041667, 0.12916667, -0.06458333, -0.0125],
[-0.13541667, -0.01354167, -0.06458333, 0.240625, -0.02708333],
[-0.02083333, -0.00208333, -0.0125, -0.02708333, 0.0625],
]
)
for hm, hc, hb in zip(
df["histogram_mean"].values,
df["histogram_cov"].values,
df["histogram_binning"].values,
):
np.testing.assert_array_almost_equal(
hm, [0.3125, 0.03125, 0.1875, 0.40625, 0.0625]
)
np.testing.assert_array_almost_equal(hb, [1.5, 2.5, 3.5, 4.5, 5.5])
np.testing.assert_array_almost_equal(hc, check)
def test_roll_norm_hist_mean_cov():
hist_list = [
"date:country",
"date:bankrupt",
"date:num_employees",
"date:A_score",
"date:A_score:num_employees",
]
pipeline = Pipeline(
modules=[
JsonReader(
file_path=resources.data("example_histogram.json"),
store_key="example_hist",
),
HistSplitter(
read_key="example_hist", store_key="output_hist", features=hist_list
),
ApplyFunc(
apply_to_key="output_hist",
apply_funcs=[
{
"func": roll_norm_hist_mean_cov,
"hist_name": "histogram",
"window": 5,
"shift": 1,
"suffix": "",
"entire": True,
}
],
),
]
)
datastore = pipeline.transform(datastore={})
assert "output_hist" in datastore
for f in [
"A_score",
"A_score:num_employees",
"bankrupt",
"country",
"num_employees",
]:
assert f in datastore["output_hist"]
df = datastore["output_hist"]["num_employees"]
mean = df["histogram_mean"].values[-2]
check = np.array(
[
0.8,
0.1,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.1,
]
)
np.testing.assert_array_almost_equal(mean, check)
def test_expand_norm_hist_mean_cov():
hist_list = [
"date:country",
"date:bankrupt",
"date:num_employees",
"date:A_score",
"date:A_score:num_employees",
]
pipeline = Pipeline(
modules=[
JsonReader(
file_path=resources.data("example_histogram.json"),
store_key="example_hist",
),
HistSplitter(
read_key="example_hist", store_key="output_hist", features=hist_list
),
ApplyFunc(
apply_to_key="output_hist",
apply_funcs=[
{
"func": expand_norm_hist_mean_cov,
"hist_name": "histogram",
"shift": 1,
"suffix": "",
"entire": True,
}
],
),
]
)
datastore = pipeline.transform(datastore={})
assert "output_hist" in datastore
for f in [
"A_score",
"A_score:num_employees",
"bankrupt",
"country",
"num_employees",
]:
assert f in datastore["output_hist"]
df = datastore["output_hist"]["num_employees"]
mean = df["histogram_mean"].values[-2]
check = np.array(
[
0.56666667,
0.03333333,
0.03333333,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.06666667,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.06666667,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.06666667,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.03333333,
0.06666667,
0.06666667,
]
)
np.testing.assert_array_almost_equal(mean, check)
@pytest.mark.filterwarnings("ignore:invalid value encountered in true_divide")
def test_chi_squared1():
hist_list = [
"date:country",
"date:bankrupt",
"date:num_employees",
"date:A_score",
"date:A_score:num_employees",
]
pipeline = Pipeline(
modules=[
JsonReader(
file_path=resources.data("example_histogram.json"),
store_key="example_hist",
),
HistSplitter(
read_key="example_hist", store_key="output_hist", features=hist_list
),
ApplyFunc(
apply_to_key="output_hist",
apply_funcs=[
{
"func": roll_norm_hist_mean_cov,
"hist_name": "histogram",
"window": 5,
"shift": 1,
"suffix": "",
"entire": True,
}
],
),
ApplyFunc(
apply_to_key="output_hist",
apply_funcs=[{"func": relative_chi_squared, "suffix": "", "axis": 1}],
),
]
)
datastore = pipeline.transform(datastore={})
assert "output_hist" in datastore
for f in [
"A_score",
"A_score:num_employees",
"bankrupt",
"country",
"num_employees",
]:
assert f in datastore["output_hist"]
df = datastore["output_hist"]["A_score"]
np.testing.assert_almost_equal(df["chi2"][6], 4.25)
df = datastore["output_hist"]["A_score:num_employees"]
np.testing.assert_almost_equal(df["chi2"][-2], 2.1333333333333315)
df = datastore["output_hist"]["bankrupt"]
np.testing.assert_almost_equal(df["chi2"][6], 0.40000000000000024)
df = datastore["output_hist"]["country"]
np.testing.assert_almost_equal(df["chi2"][5], 0.8999999999999994)
df = datastore["output_hist"]["num_employees"]
np.testing.assert_almost_equal(df["chi2"][5], 0.849999999999999)
@pytest.mark.filterwarnings("ignore:invalid value encountered in true_divide")
def test_chi_squared2():
hist_list = [
"date:country",
"date:bankrupt",
"date:num_employees",
"date:A_score",
"date:A_score:num_employees",
]
pipeline = Pipeline(
modules=[
JsonReader(
file_path=resources.data("example_histogram.json"),
store_key="example_hist",
),
HistSplitter(
read_key="example_hist", store_key="output_hist", features=hist_list
),
ApplyFunc(
apply_to_key="output_hist",
apply_funcs=[
{
"func": expand_norm_hist_mean_cov,
"hist_name": "histogram",
"shift": 1,
"suffix": "",
"entire": True,
}
],
),
ApplyFunc(
apply_to_key="output_hist",
apply_funcs=[{"func": relative_chi_squared, "suffix": "", "axis": 1}],
),
]
)
datastore = pipeline.transform(datastore={})
assert "output_hist" in datastore
for f in [
"A_score",
"A_score:num_employees",
"bankrupt",
"country",
"num_employees",
]:
assert f in datastore["output_hist"]
df = datastore["output_hist"]["A_score"]
np.testing.assert_almost_equal(df["chi2"][-1], 9.891821919006366)
df = datastore["output_hist"]["A_score:num_employees"]
np.testing.assert_almost_equal(df["chi2"][-2], 3.217532467532462)
df = datastore["output_hist"]["bankrupt"]
np.testing.assert_almost_equal(df["chi2"][-1], 0.23767605633802757)
df = datastore["output_hist"]["country"]
np.testing.assert_almost_equal(df["chi2"][-1], 1.3717532467532458)
df = datastore["output_hist"]["num_employees"]
np.testing.assert_almost_equal(df["chi2"][-1], 1.1858766233766194)
def test_chi_ReferenceNormHistComparer():
hist_list = [
"date:country",
"date:bankrupt",
"date:num_employees",
"date:A_score",
"date:A_score:num_employees",
]
pipeline = Pipeline(
modules=[
JsonReader(
file_path=resources.data("example_histogram.json"),
store_key="example_hist",
),
HistSplitter(
read_key="example_hist", store_key="output_hist", features=hist_list
),
ReferenceNormHistComparer(
reference_key="output_hist",
assign_to_key="output_hist",
store_key="comparisons",
),
]
)
datastore = pipeline.transform(datastore={})
assert "comparisons" in datastore
for f in [
"A_score",
"A_score:num_employees",
"bankrupt",
"country",
"num_employees",
]:
assert f in datastore["comparisons"]
df = datastore["comparisons"]["A_score"]
np.testing.assert_almost_equal(df["chi2"][0], 2.2884111855886022)
def test_chi_ExpandingNormHistComparer():
hist_list = [
"date:country",
"date:bankrupt",
"date:num_employees",
"date:A_score",
"date:A_score:num_employees",
]
pipeline = Pipeline(
modules=[
JsonReader(
file_path=resources.data("example_histogram.json"),
store_key="example_hist",
),
HistSplitter(
read_key="example_hist", store_key="output_hist", features=hist_list
),
ExpandingNormHistComparer(read_key="output_hist", store_key="comparisons"),
]
)
datastore = pipeline.transform(datastore={})
assert "comparisons" in datastore
for f in [
"A_score",
"A_score:num_employees",
"bankrupt",
"country",
"num_employees",
]:
assert f in datastore["comparisons"]
df = datastore["comparisons"]["A_score"]
np.testing.assert_almost_equal(df["chi2"][-1], 9.891821919006366)
def test_chi_RollingNormHistComparer():
hist_list = [
"date:country",
"date:bankrupt",
"date:num_employees",
"date:A_score",
"date:A_score:num_employees",
]
pipeline = Pipeline(
modules=[
JsonReader(
file_path=resources.data("example_histogram.json"),
store_key="example_hist",
),
HistSplitter(
read_key="example_hist", store_key="output_hist", features=hist_list
),
RollingNormHistComparer(
read_key="output_hist", store_key="comparisons", window=10
),
]
)
datastore = pipeline.transform(datastore={})
assert "comparisons" in datastore
for f in [
"A_score",
"A_score:num_employees",
"bankrupt",
"country",
"num_employees",
]:
assert f in datastore["comparisons"]
df = datastore["comparisons"]["A_score"]
np.testing.assert_almost_equal(df["chi2"][-1], 37.61910112359518)
| 24.31345 | 87 | 0.425774 | 2,140 | 20,788 | 3.945327 | 0.074299 | 0.134076 | 0.196849 | 0.256781 | 0.836077 | 0.83051 | 0.808362 | 0.801966 | 0.779344 | 0.768921 | 0 | 0.10493 | 0.452617 | 20,788 | 854 | 88 | 24.34192 | 0.637051 | 0 | 0 | 0.821293 | 0 | 0 | 0.150327 | 0.033192 | 0 | 0 | 0 | 0 | 0.048162 | 1 | 0.015209 | false | 0 | 0.012674 | 0 | 0.027883 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
7659f06a99755b6ba54ee8abea5095ea2bb893a9 | 119 | py | Python | runSpider_tuji8.py | lang564321/bm | 4d1f7e83eb92d68a2aa1825637a0c6bcbdaf4ebb | [
"Apache-2.0"
] | null | null | null | runSpider_tuji8.py | lang564321/bm | 4d1f7e83eb92d68a2aa1825637a0c6bcbdaf4ebb | [
"Apache-2.0"
] | null | null | null | runSpider_tuji8.py | lang564321/bm | 4d1f7e83eb92d68a2aa1825637a0c6bcbdaf4ebb | [
"Apache-2.0"
] | null | null | null | from scrapy import cmdline
# cmdline.execute('scrapy crawl tuji8'.split())
cmdline.execute(['scrapy','crawl','tuji8'])
| 29.75 | 47 | 0.739496 | 15 | 119 | 5.866667 | 0.533333 | 0.318182 | 0.454545 | 0.568182 | 0.681818 | 0 | 0 | 0 | 0 | 0 | 0 | 0.018182 | 0.07563 | 119 | 3 | 48 | 39.666667 | 0.781818 | 0.378151 | 0 | 0 | 0 | 0 | 0.222222 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 7 |
768b2b209ab18ecc8d925bdc2064b920145939fb | 2,833 | py | Python | inpaint/model/transformer/transformer_method.py | Janspiry/A-Demo-for-Image-Inpainting-by-React | e1951027d10677a1fd4463b05c7acf473481decb | [
"MIT"
] | 2 | 2021-12-07T03:13:32.000Z | 2021-12-26T04:44:40.000Z | inpaint/model/transformer/transformer_method.py | Janspiry/A-Demo-for-Image-Inpainting-by-React | e1951027d10677a1fd4463b05c7acf473481decb | [
"MIT"
] | null | null | null | inpaint/model/transformer/transformer_method.py | Janspiry/A-Demo-for-Image-Inpainting-by-React | e1951027d10677a1fd4463b05c7acf473481decb | [
"MIT"
] | null | null | null | from .transformer import TransformerLayer
from .transformer_withmask import TransformerLayer as Mask_TransformerLayer
from .swin_transformer import TransformerModule as Swin_TransformerLayer
import torch
import torch.nn as nn
class TransformerBlock(nn.Module):
def __init__(self, size, patch_size, MiniTransFormer=None, use_local=False, use_global=False):
super(TransformerBlock, self).__init__()
model_dim = 256
num_layers = 6
num_heads = 8
ffn_dim = 512
self.p = patch_size # patch_size
if MiniTransFormer is not None:
model_dim, num_layers, num_heads, ffn_dim = MiniTransFormer
self.transformer_global = TransformerLayer(
size=size,
patch_size=patch_size,
MiniTransFormer=MiniTransFormer
)
self.transformer_local = Swin_TransformerLayer(
in_channels=size[0],
hidden_dimension=model_dim,
layers=2,
patch_size=patch_size,
num_heads=num_heads,
window_size=8,
relative_pos_embedding=True
)
self.use_local = use_local
self.use_global = use_global
assert self.use_local or self.use_global, 'self.use_local and self.use_global are false.'
def forward(self, x):
b, c, h, w = x.size()
if(self.use_global):
x = self.transformer_global(x)
if(self.use_local):
x = self.transformer_local(x)
return x
class MaskTransformer(nn.Module):
def __init__(self, size, patch_size, MiniTransFormer=None, use_local=False, use_global=False):
super(MaskTransformer, self).__init__()
model_dim = 256
num_layers = 6
num_heads = 8
ffn_dim = 512
self.p = patch_size # patch_size
if MiniTransFormer is not None:
model_dim, num_layers, num_heads, ffn_dim = MiniTransFormer
self.transformer_global = Mask_TransformerLayer(
size=size,
patch_size=patch_size,
MiniTransFormer=MiniTransFormer
)
self.transformer_local = Swin_TransformerLayer(
in_channels=size[0],
hidden_dimension=model_dim,
layers=2,
patch_size=patch_size,
num_heads=num_heads,
window_size=8,
relative_pos_embedding=True
)
self.use_local = use_local
self.use_global = use_global
assert self.use_local or self.use_global, 'self.use_local and self.use_global are false.'
def forward(self, x, masks):
b, c, h, w = x.size()
if(self.use_global):
x = self.transformer_global(x, masks=masks)
if(self.use_local):
x = self.transformer_local(x)
return x | 35.4125 | 98 | 0.622661 | 337 | 2,833 | 4.934718 | 0.189911 | 0.067348 | 0.078172 | 0.064943 | 0.82742 | 0.82742 | 0.82742 | 0.82742 | 0.82742 | 0.82742 | 0 | 0.011162 | 0.304271 | 2,833 | 80 | 99 | 35.4125 | 0.832572 | 0.007413 | 0 | 0.739726 | 0 | 0 | 0.032028 | 0 | 0 | 0 | 0 | 0 | 0.027397 | 1 | 0.054795 | false | 0 | 0.068493 | 0 | 0.178082 | 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 |
76b8facb45d00e50020ec79a7fac2651f00e7262 | 641 | py | Python | tests/exts/test_flask_cache.py | soasme/rio | e6b89634db8d3ad75ac7f7b25ddec5b19d4f66e2 | [
"MIT"
] | null | null | null | tests/exts/test_flask_cache.py | soasme/rio | e6b89634db8d3ad75ac7f7b25ddec5b19d4f66e2 | [
"MIT"
] | 14 | 2016-04-14T04:18:41.000Z | 2016-05-12T03:46:37.000Z | tests/exts/test_flask_cache.py | soasme/rio | e6b89634db8d3ad75ac7f7b25ddec5b19d4f66e2 | [
"MIT"
] | 1 | 2016-04-06T08:54:20.000Z | 2016-04-06T08:54:20.000Z | # -*- coding: utf-8 -*-
from pytest import fixture, mark
from rio.core import cache
@mark.xfail
def test_cache_function_call(app):
def hello_world(k1, k2):
return {'k1': 'v1', 'k2': 'v2'}
assert not cache.get(':hello_world:k1:v1:k2:v2')
assert cache.run(hello_world, k1='v1', k2='v2')
assert cache.get(':hello_world:k1:v1:k2:v2') == {'k1': 'v1', 'k2': 'v2'}
def test_clean_cache_function_call(app):
def hello_world(k1, k2):
return {'k1': 'v1', 'k2': 'v2'}
cache.run(hello_world, k1='v1', k2='v2')
cache.clean(hello_world, k1='v1', k2='v2')
assert not cache.get(':hello_world:k1:v1:k2:v2')
| 30.52381 | 76 | 0.624025 | 106 | 641 | 3.632075 | 0.273585 | 0.093506 | 0.14026 | 0.187013 | 0.74026 | 0.727273 | 0.727273 | 0.701299 | 0.467532 | 0.467532 | 0 | 0.077213 | 0.171607 | 641 | 20 | 77 | 32.05 | 0.647834 | 0.032761 | 0 | 0.4 | 0 | 0 | 0.174757 | 0.116505 | 0 | 0 | 0 | 0 | 0.266667 | 1 | 0.266667 | false | 0 | 0.133333 | 0.133333 | 0.533333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 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 | 1 | 0 | 0 | 7 |
76ba2e07432140136b1d60384110ec3b744dea96 | 5,564 | py | Python | complex_venv/lib/python3.7/site-packages/test/test_depth_for_building_subgraph.py | lubianat/complex_bot | e0ddabcc0487c52b14fb94950c5a812f0bdb2283 | [
"MIT"
] | 1 | 2021-10-06T00:21:10.000Z | 2021-10-06T00:21:10.000Z | complex_venv/lib/python3.7/site-packages/test/test_depth_for_building_subgraph.py | lubianat/complex_bot | e0ddabcc0487c52b14fb94950c5a812f0bdb2283 | [
"MIT"
] | 14 | 2021-01-15T21:51:38.000Z | 2021-11-10T10:08:22.000Z | complex_venv/lib/python3.7/site-packages/test/test_depth_for_building_subgraph.py | lubianat/complex_bot | e0ddabcc0487c52b14fb94950c5a812f0bdb2283 | [
"MIT"
] | 1 | 2021-01-18T10:32:56.000Z | 2021-01-18T10:32:56.000Z | import unittest
from shexer.shaper import Shaper
from test.const import default_namespaces
from test.t_utils import number_of_shapes, shape_contains_constraint
class TestDepthBuildingSubGraph(unittest.TestCase):
"""
These test cannot be too precise, since they are made against "live" content in Wikidata.
Also, two of them are commented, as they consume too much time to finish
"""
def test_1_not_all_classes_format(self):
shape_map_raw = "SPARQL'select ?p where " \
"{ ?p <http://www.wikidata.org/prop/direct/P31> <http://www.wikidata.org/entity/Q14660> } " \
"LIMIT 10'@<Flag>"
shaper = Shaper(shape_map_raw=shape_map_raw,
url_endpoint="https://query.wikidata.org/sparql",
namespaces_dict=default_namespaces(),
instantiation_property="http://www.wikidata.org/prop/direct/P31",
disable_comments=True,
depth_for_building_subgraph=1,
track_classes_for_entities_at_last_depth_level=False,
all_classes_mode=False)
str_result = shaper.shex_graph(string_output=True)
self.assertTrue(number_of_shapes(str_result) == 1)
self.assertTrue(shape_contains_constraint(target_str=str_result,
shape="<Flag>",
constraint="<http://www.wikidata.org/prop/direct/P31> "
"[<http://www.wikidata.org/entity/Q14660>]"))
def test_1_all_classes_format(self):
shape_map_raw = "SPARQL'select ?p where " \
"{ ?p <http://www.wikidata.org/prop/direct/P31> <http://www.wikidata.org/entity/Q14660> } " \
"LIMIT 10'@<Flag>"
shaper = Shaper(shape_map_raw=shape_map_raw,
url_endpoint="https://query.wikidata.org/sparql",
namespaces_dict=default_namespaces(),
instantiation_property="http://www.wikidata.org/prop/direct/P31",
disable_comments=True,
depth_for_building_subgraph=1,
track_classes_for_entities_at_last_depth_level=False,
all_classes_mode=True)
str_result = shaper.shex_graph(string_output=True)
self.assertTrue(number_of_shapes(str_result) > 1)
self.assertTrue(number_of_shapes(str_result) < 10)
self.assertTrue(shape_contains_constraint(target_str=str_result,
shape="<Flag>",
constraint="<http://www.wikidata.org/prop/direct/P31> "
"[<http://www.wikidata.org/entity/Q14660>]"))
# def test_2_not_all_classes_format(self):
# shape_map_raw = "SPARQL'select ?p where " \
# "{ ?p <http://www.wikidata.org/prop/direct/P31> <http://www.wikidata.org/entity/Q14660> } " \
# "LIMIT 10'@<Flag>"
# shaper = Shaper(shape_map_raw=shape_map_raw,
# url_endpoint="https://query.wikidata.org/sparql",
# namespaces_dict=default_namespaces(),
# instantiation_property="http://www.wikidata.org/prop/direct/P31",
# disable_comments=True,
# depth_for_building_subgraph=2,
# track_classes_for_entities_at_last_depth_level=False,
# all_classes_mode=False)
# str_result = shaper.shex_graph(string_output=True)
# self.assertTrue(number_of_shapes(str_result) == 1)
# self.assertTrue(shape_contains_constraint(target_str=str_result,
# shape="<Flag>",
# constraint="<http://www.wikidata.org/prop/direct/P31> "
# "[<http://www.wikidata.org/entity/Q14660>]"))
#
# def test_2_all_classes_format(self):
# shape_map_raw = "SPARQL'select ?p where " \
# "{ ?p <http://www.wikidata.org/prop/direct/P31> <http://www.wikidata.org/entity/Q14660> } " \
# "LIMIT 10'@<Flag>"
# shaper = Shaper(shape_map_raw=shape_map_raw,
# url_endpoint="https://query.wikidata.org/sparql",
# namespaces_dict=default_namespaces(),
# instantiation_property="http://www.wikidata.org/prop/direct/P31",
# disable_comments=True,
# depth_for_building_subgraph=2,
# track_classes_for_entities_at_last_depth_level=False,
# all_classes_mode=True)
# str_result = shaper.shex_graph(string_output=True)
# self.assertTrue(number_of_shapes(str_result) > 10)
# self.assertTrue(shape_contains_constraint(target_str=str_result,
# shape="<Flag>",
# constraint="<http://www.wikidata.org/prop/direct/P31> "
# "[<http://www.wikidata.org/entity/Q14660>]")) | 61.822222 | 120 | 0.526959 | 551 | 5,564 | 5.032668 | 0.177858 | 0.095204 | 0.108186 | 0.129823 | 0.885323 | 0.885323 | 0.885323 | 0.885323 | 0.885323 | 0.885323 | 0 | 0.024793 | 0.369339 | 5,564 | 90 | 121 | 61.822222 | 0.76546 | 0.446801 | 0 | 0.714286 | 0 | 0.047619 | 0.19775 | 0 | 0 | 0 | 0 | 0 | 0.119048 | 1 | 0.047619 | false | 0 | 0.095238 | 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 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
4f1341f54b27e589ec4496a268d990f1463adfa1 | 970 | py | Python | test/test_add_group.py | 18kotov/python_test_learning | 08bc41c921b6d51fc1bab5d239e3f871f25439ba | [
"Apache-2.0"
] | null | null | null | test/test_add_group.py | 18kotov/python_test_learning | 08bc41c921b6d51fc1bab5d239e3f871f25439ba | [
"Apache-2.0"
] | null | null | null | test/test_add_group.py | 18kotov/python_test_learning | 08bc41c921b6d51fc1bab5d239e3f871f25439ba | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from model.group import Group
def test_add_group(app):
app.group.open_groups_page()
old_groups=app.group.get_group_list()
group=Group(group_name="ddfg", header="4fff", footer="fbhj")
app.group.create(group)
app.group.return_to_groups_page()
new_groups = app.group.get_group_list()
assert len(old_groups) + 1 == len(new_groups)
old_groups.append(group)
assert sorted(old_groups, key=Group.id_or_max) == sorted(new_groups, key=Group.id_or_max)
def test_add_empty_group(app):
app.group.open_groups_page()
old_groups = app.group.get_group_list()
group = Group(group_name="", header="", footer="")
app.group.create(group)
app.group.return_to_groups_page()
new_groups = app.group.get_group_list()
assert len(old_groups) + 1 == len(new_groups)
old_groups.append(group)
assert sorted(old_groups, key=Group.id_or_max) == sorted(new_groups, key=Group.id_or_max)
| 23.658537 | 93 | 0.702062 | 150 | 970 | 4.226667 | 0.246667 | 0.126183 | 0.088328 | 0.107256 | 0.84858 | 0.84858 | 0.84858 | 0.84858 | 0.84858 | 0.84858 | 0 | 0.00492 | 0.161856 | 970 | 40 | 94 | 24.25 | 0.774908 | 0.021649 | 0 | 0.761905 | 0 | 0 | 0.012766 | 0 | 0 | 0 | 0 | 0 | 0.190476 | 1 | 0.095238 | false | 0 | 0.047619 | 0 | 0.142857 | 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 |
4f72083bc49d6689050d30b7ec34a1274c9c207f | 3,248 | py | Python | tests/cmake/test_command.py | arjo129/ros_build_assistant | 9c8420230713a43f73390d75d19bd7a7a751474d | [
"MIT"
] | null | null | null | tests/cmake/test_command.py | arjo129/ros_build_assistant | 9c8420230713a43f73390d75d19bd7a7a751474d | [
"MIT"
] | null | null | null | tests/cmake/test_command.py | arjo129/ros_build_assistant | 9c8420230713a43f73390d75d19bd7a7a751474d | [
"MIT"
] | null | null | null | from ros_build_assistant.parser.cmake.grammar import Command, CombinatorState
import unittest
def parse_item(inp):
bc = Command()
for x in inp:
res, data = bc.next_char(x)
return res,data
class TestCommandArguments(unittest.TestCase):
def test_command_argument_1(self):
#normal operation
inp = "find_package ( CATKIN_PACKAGES\nroscpp\n\t#octomap_msgs\n\t)"
res, data = parse_item(inp)
self.assertEqual(res, CombinatorState.FINISHED)
self.assertDictEqual(data,
{'command': 'find_package',
'type': 'command',
'separator': {'body': ' ', 'type': 'whitespace'},
'parameters': {'body': [{'type': 'lparenthesis'},
{'body': ' ', 'type': 'whitespace'},
{'body': {'body': 'CATKIN_PACKAGES', 'type': 'unquoted_argument'}, 'type': 'argument', 'argument_type': 'unquoted'},
{'body': '\n', 'type': 'whitespace'},
{'body': {'body': 'roscpp', 'type': 'unquoted_argument'}, 'type': 'argument', 'argument_type': 'unquoted'},
{'body': '\n\t', 'type': 'whitespace'},
{'comment': 'line', 'body': {'body': 'octomap_msgs', 'type': 'line_comment'}, 'type': 'comment'},
{'body': '\t', 'type': 'whitespace'},
{'type': 'rparenthesis'}], 'type': 'argument_list'}})
def test_command_argument_2(self):
#normal operation
inp = "find_package( CATKIN_PACKAGES\nroscpp\n\t#octomap_msgs\n\t)"
res, data = parse_item(inp)
self.assertEqual(res, CombinatorState.FINISHED)
self.assertDictEqual(data,
{'command': 'find_package',
'type': 'command',
'separator': {},
'parameters': {'body': [{'type': 'lparenthesis'},
{'body': ' ', 'type': 'whitespace'},
{'body': {'body': 'CATKIN_PACKAGES', 'type': 'unquoted_argument'}, 'type': 'argument', 'argument_type': 'unquoted'},
{'body': '\n', 'type': 'whitespace'},
{'body': {'body': 'roscpp', 'type': 'unquoted_argument'}, 'type': 'argument', 'argument_type': 'unquoted'},
{'body': '\n\t', 'type': 'whitespace'},
{'comment': 'line', 'body': {'body': 'octomap_msgs', 'type': 'line_comment'}, 'type': 'comment'},
{'body': '\t', 'type': 'whitespace'},
{'type': 'rparenthesis'}], 'type': 'argument_list'}})
def test_command_idempotency_1(self):
#normal operation
inp = "find_package ( CATKIN_PACKAGES\nroscpp\n\t#octomap_msgs\n\t)"
res, data = parse_item(inp)
self.assertEqual(res, CombinatorState.FINISHED)
out = Command().code_gen(data)
self.assertEqual(inp, out)
def test_command_idempotency_2(self):
#normal operation
inp = "find_package( CATKIN_PACKAGES\nroscpp\n\t#octomap_msgs\n\t)"
res, data = parse_item(inp)
self.assertEqual(res, CombinatorState.FINISHED)
out = Command().code_gen(data)
self.assertEqual(inp, out) | 49.969231 | 141 | 0.536946 | 312 | 3,248 | 5.423077 | 0.198718 | 0.01182 | 0.035461 | 0.052009 | 0.840426 | 0.840426 | 0.840426 | 0.840426 | 0.840426 | 0.840426 | 0 | 0.001733 | 0.289409 | 3,248 | 65 | 142 | 49.969231 | 0.731369 | 0.019704 | 0 | 0.740741 | 0 | 0 | 0.323483 | 0.056586 | 0 | 0 | 0 | 0 | 0.148148 | 1 | 0.092593 | false | 0 | 0.037037 | 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 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
4f919a24782764249d40651ffd6b62dda7d51fa2 | 4,627 | py | Python | ipython_log.py | EibhinnLee/pands-project | 3e2ad56331c88e41d3c6e425405c91c49694d823 | [
"MIT"
] | null | null | null | ipython_log.py | EibhinnLee/pands-project | 3e2ad56331c88e41d3c6e425405c91c49694d823 | [
"MIT"
] | null | null | null | ipython_log.py | EibhinnLee/pands-project | 3e2ad56331c88e41d3c6e425405c91c49694d823 | [
"MIT"
] | null | null | null | # IPython log file
get_ipython().run_line_magic('logstart', '')
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
df
df = pd.read_csv('Iris_dataset.txt')
df
df['PW']
df.info()
ax = df[df.Species=='Iris-setosa'].plot.scatter(x='SL', y ='SW', color ='red', label = 'setosa')
ax = df[df.Species=='Iris-setosa'].plot.scatter(x='SL', y ='SW', color ='red', label = 'setosa') df[df.Species=='Iris-versicolor'].plot.scatter(x='SW', y='SL', color = 'blue', label = 'versicolor', ax = ax)
ax = df[df.Species=='Iris-setosa'].plot.scatter(x='SL', y ='SW', color ='red', label = 'setosa')
x = df[df.Species=='Iris-setosa'].plot.scatter(x='SL', y ='SW', color ='red', label = 'setosa')
ax = df[df.Species=='Iris-setosa'].plot.scatter(x='SL', y ='SW', color ='red', label = 'setosa') df[df.Species ...: =='Iris-versicolor'].plot.scatter(x='SW', y='SL', color = 'blue', label = 'versicolor', ax = ax)
ax = df[df.Species=='Iris-setosa'].plot.scatter(x='SL', y='SW', color='red', label='setosa') df[df.Species=='Iris-versicolor'].plot.scatter(x='SL', y='SW', color='green', label='versicolor', ax=ax) df[df.Species=='Iris-virginica'].plot.scatter(x='SL', y='SW', color='blue', label='virginica', ax=ax)
ax = df[df.Species=='Iris-setosa'].plot.scatter(x='SL', y='SW', color='red', label='setosa') df[df.Species=='Iris-versicolor'].plot.scatter(x='SL', y='SW', color='green', label='versicolor', ax=ax) df[df.Species=='Iris-virginica'].plot.scatter(x='SL', y='SW', color='blue', label='virginica', ax=ax)
ax = df[df.Species=='Iris-setosa'].plot.scatter(x='SL', y='SW', color='red', label='setosa') df[df.Species=='Iris-versicolor'].plot.scatter(x='SL', y='SW', color='green', label='versicolor', ax=ax) df[df.Species=='Iris-virginica'].plot.scatter(x='SL', y='SW', color='blue', label='virginica', ax=ax)
sns.FaceGrid(df, hue="Species",size = 4).map(plt.scatter,"SW","SL").add_legend
sns.FaceGrid(df, hue="Species",size = 4).map(plt.scatter,"SW","SL").add_legend
ax = df[df.Species=='Iris-setosa'].plot.scatter(x='SL', y='SW', color='red', label='setosa')
ax = df[df.Species=='Iris-setosa'].plot.scatter(x='SL', y='SW', color='red', label='setosa')
ax = df[df.Species=='Iris-setosa'].plot.scatter(x='SL', y='SW', color='red', label='setosa')
ax
ax = df[df.Species=='Iris-setosa'].plot.scatter(x='SL', y='SW', color='red', label='setosa') df[df.Species=='Iris-versicolor'].plot.scatter(x='SL', y='SW', color='green', label='versicolor', ax=ax) df[df.Species=='Iris-virginica'].plot.scatter(x='SL', y='SW', color='blue', label='virginica', ax=ax)
df
pp = df[df.Species=='Iris-setosa'].plot.scatter(x='PL', y='PW', color='red', label='setosa') df[df.Species=='Iris-versicolor'].plot.scatter(x='PL', y='PW', color='green', label='versicolor', ax=ax) df[df.Species=='Iris-virginica'].plot.scatter(x='PL', y='PW', color='blue', label='virginica', ax=ax)
df.plot(kind = 'scatter', x = 'SL', y = 'SW')
plt.scatter(group.index)
plot.scatter(group.index)
ax = df[df.Species=='Iris-setosa'].plot.scatter(x='SL', y='SW', color='red', label='setosa') df[df.Species=='Iris-versicolor'].plot.scatter(x='SL', y='SW', color='green', label='versicolor', ax=ax)
df["species"].value_counts()
sns.FacetGrid(df, hue="species", size=5) \ .map(plt.scatter, "sepal length (cm)", "sepal width (cm)") \ .add_legend()
sns.pairplot(df.drop("target", axis=1), hue="species", size=3)
sns.set_style("whitegrid");
sns.FacetGrid(df, hue="Species", size = 4).map(plt.scatter,"SL","SW").add_legend()
df
exit()
| 112.853659 | 635 | 0.496434 | 583 | 4,627 | 3.921098 | 0.125214 | 0.050744 | 0.129921 | 0.177165 | 0.842957 | 0.83727 | 0.819773 | 0.79965 | 0.772091 | 0.772091 | 0 | 0.001852 | 0.299978 | 4,627 | 40 | 636 | 115.675 | 0.703921 | 0.003458 | 0 | 0.394737 | 0 | 0 | 0.19527 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.105263 | null | null | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
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