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qsc_code_frac_chars_top_4grams_quality_signal
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qsc_code_frac_chars_dupe_5grams_quality_signal
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qsc_code_frac_chars_dupe_9grams_quality_signal
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qsc_code_frac_chars_dupe_10grams_quality_signal
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qsc_code_frac_chars_replacement_symbols_quality_signal
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float64
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float64
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qsc_code_frac_chars_alphabet_quality_signal
float64
qsc_code_frac_chars_comments_quality_signal
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qsc_code_cate_xml_start_quality_signal
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qsc_code_frac_lines_dupe_lines_quality_signal
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qsc_code_frac_chars_string_length_quality_signal
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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
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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
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qsc_codepython_frac_lines_simplefunc_quality_signal
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float64
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effective
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79a3e65e81ed7dc72deaed6f3ea314bc9066e4d4
3,680
py
Python
tests/unit/test_serializer.py
StenAkeStrid/django-js-urls
1d8c015e83c898c0ff8068b8f577fb1983e287ed
[ "MIT" ]
3
2019-06-12T13:23:12.000Z
2021-06-13T10:22:56.000Z
tests/unit/test_serializer.py
StenAkeStrid/django-js-urls
1d8c015e83c898c0ff8068b8f577fb1983e287ed
[ "MIT" ]
2
2021-06-01T22:43:34.000Z
2022-02-10T00:17:19.000Z
tests/unit/test_serializer.py
StenAkeStrid/django-js-urls
1d8c015e83c898c0ff8068b8f577fb1983e287ed
[ "MIT" ]
1
2021-12-09T07:46:11.000Z
2021-12-09T07:46:11.000Z
import json import unittest.mock import django import pytest from js_urls.serializer import get_urls_as_json class TestGetUrlsAsJsonHelper: @unittest.mock.patch('js_urls.conf.settings.URLS', ['dummy', ]) def test_can_serialize_specific_urls_that_do_not_have_arguments(self): output_dict = json.loads(get_urls_as_json()) assert output_dict['dummy'] == '/dummy/' @unittest.mock.patch('js_urls.conf.settings.URLS', ['dummy_with_args', ]) def test_can_serialize_specific_urls_that_have_unnamed_arguments(self): output_dict = json.loads(get_urls_as_json()) assert output_dict['dummy_with_args'] == '/dummy/<>/foo/<>/bar/' @unittest.mock.patch('js_urls.conf.settings.URLS', ['dummy_with_kwargs', ]) def test_can_serialize_specific_urls_that_have_named_arguments(self): output_dict = json.loads(get_urls_as_json()) assert output_dict['dummy_with_kwargs'] == '/dummy/<pk1>/foo/<pk2>/bar/' @unittest.mock.patch('js_urls.conf.settings.URLS', ['dummy_with_optional_character', ]) def test_can_serialize_specific_urls_that_have_optional_characters(self): output_dict = json.loads(get_urls_as_json()) assert output_dict['dummy_with_optional_character'] == '/dummy/<>/foo/bar/' @unittest.mock.patch('js_urls.conf.settings.URLS', ['dummy_with_optional_group', ]) def test_can_serialize_specific_urls_that_have_an_optional_group(self): output_dict = json.loads(get_urls_as_json()) assert output_dict['dummy_with_optional_group'] == '/dummy/<>/foo/' @unittest.mock.patch('js_urls.conf.settings.URLS', ['dummy_with_optional_kwarg', ]) def test_can_serialize_specific_urls_that_have_an_optional_kwarg(self): output_dict = json.loads(get_urls_as_json()) assert output_dict['dummy_with_optional_kwarg'] == '/dummy/<>/' @unittest.mock.patch('js_urls.conf.settings.URLS', ['included_test_with_args', ]) def test_can_serialize_specific_urls_that_have_been_included(self): output_dict = json.loads(get_urls_as_json()) assert output_dict['included_test_with_args'] == '/included/<pk1>/test/<>/foo/<>/bar/' @pytest.mark.skipif(django.VERSION < (2, 0), reason='requires Django >= 2.0') @unittest.mock.patch('js_urls.conf.settings.URLS', ['articles_with_re_path', ]) def test_can_serialize_specific_urls_that_have_a_regex_path(self): output_dict = json.loads(get_urls_as_json()) assert output_dict['articles_with_re_path'] == '/articles/<year>/' @pytest.mark.skipif(django.VERSION < (2, 0), reason='requires Django >= 2.0') @unittest.mock.patch('js_urls.conf.settings.URLS', ['articles_with_path', ]) def test_can_serialize_specific_urls_that_have_a_path_expression(self): output_dict = json.loads(get_urls_as_json()) assert output_dict['articles_with_path'] == '/articles/<year>/' @pytest.mark.skipif(django.VERSION < (2, 0), reason='requires Django >= 2.0') @unittest.mock.patch('js_urls.conf.settings.URLS', ['articles_with_paths', ]) def test_can_serialize_specific_urls_that_have_multiple_path_expressions(self): output_dict = json.loads(get_urls_as_json()) assert output_dict['articles_with_paths'] == '/articles/<year>/<month>/' @pytest.mark.skipif(django.VERSION < (2, 0), reason='requires Django >= 2.0') @unittest.mock.patch('js_urls.conf.settings.URLS', ['articles_with_path_without_converter', ]) def test_can_serialize_specific_urls_that_have_a_path_without_converter(self): output_dict = json.loads(get_urls_as_json()) assert output_dict['articles_with_path_without_converter'] == '/articles/<slug>/'
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62,172
py
Python
sdk/python/pulumi_signalfx/list_chart.py
pulumi/pulumi-signalfx
0b0701eda3b9e4c5c590f3547f8cfc5d1ff8b456
[ "ECL-2.0", "Apache-2.0" ]
2
2020-05-09T17:37:04.000Z
2021-10-08T06:43:07.000Z
sdk/python/pulumi_signalfx/list_chart.py
pulumi/pulumi-signalfx
0b0701eda3b9e4c5c590f3547f8cfc5d1ff8b456
[ "ECL-2.0", "Apache-2.0" ]
61
2019-11-25T17:04:45.000Z
2022-03-31T15:44:52.000Z
sdk/python/pulumi_signalfx/list_chart.py
pulumi/pulumi-signalfx
0b0701eda3b9e4c5c590f3547f8cfc5d1ff8b456
[ "ECL-2.0", "Apache-2.0" ]
2
2020-05-08T06:44:20.000Z
2020-11-24T12:22:55.000Z
# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from . import _utilities from . import outputs from ._inputs import * __all__ = ['ListChartArgs', 'ListChart'] @pulumi.input_type class ListChartArgs: def __init__(__self__, *, program_text: pulumi.Input[str], color_by: Optional[pulumi.Input[str]] = None, color_scales: Optional[pulumi.Input[Sequence[pulumi.Input['ListChartColorScaleArgs']]]] = None, description: Optional[pulumi.Input[str]] = None, disable_sampling: Optional[pulumi.Input[bool]] = None, end_time: Optional[pulumi.Input[int]] = None, hide_missing_values: Optional[pulumi.Input[bool]] = None, legend_fields_to_hides: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, legend_options_fields: Optional[pulumi.Input[Sequence[pulumi.Input['ListChartLegendOptionsFieldArgs']]]] = None, max_delay: Optional[pulumi.Input[int]] = None, max_precision: Optional[pulumi.Input[int]] = None, name: Optional[pulumi.Input[str]] = None, refresh_interval: Optional[pulumi.Input[int]] = None, secondary_visualization: Optional[pulumi.Input[str]] = None, sort_by: Optional[pulumi.Input[str]] = None, start_time: Optional[pulumi.Input[int]] = None, time_range: Optional[pulumi.Input[int]] = None, timezone: Optional[pulumi.Input[str]] = None, unit_prefix: Optional[pulumi.Input[str]] = None, viz_options: Optional[pulumi.Input[Sequence[pulumi.Input['ListChartVizOptionArgs']]]] = None): """ The set of arguments for constructing a ListChart resource. :param pulumi.Input[str] program_text: Signalflow program text for the chart. More info[in the SignalFx docs](https://developers.signalfx.com/signalflow_analytics/signalflow_overview.html#_signalflow_programming_language). :param pulumi.Input[str] color_by: Must be one of `"Scale"`, `"Dimension"` or `"Metric"`. `"Dimension"` by default. :param pulumi.Input[Sequence[pulumi.Input['ListChartColorScaleArgs']]] color_scales: Single color range including both the color to display for that range and the borders of the range. Example: `[{ gt = 60, color = "blue" }, { lte = 60, color = "yellow" }]`. Look at this [link](https://docs.signalfx.com/en/latest/charts/chart-options-tab.html). :param pulumi.Input[str] description: Description of the chart. :param pulumi.Input[bool] disable_sampling: If `false`, samples a subset of the output MTS, which improves UI performance. `false` by default. :param pulumi.Input[int] end_time: Seconds since epoch. Used for visualization. Conflicts with `time_range`. :param pulumi.Input[bool] hide_missing_values: Determines whether to hide missing data points in the chart. If `true`, missing data points in the chart would be hidden. `false` by default. :param pulumi.Input[Sequence[pulumi.Input[str]]] legend_fields_to_hides: List of properties that should not be displayed in the chart legend (i.e. dimension names). All the properties are visible by default. Deprecated, please use `legend_options_fields`. :param pulumi.Input[Sequence[pulumi.Input['ListChartLegendOptionsFieldArgs']]] legend_options_fields: List of property names and enabled flags that should be displayed in the data table for the chart, in the order provided. This option cannot be used with `legend_fields_to_hide`. :param pulumi.Input[int] max_delay: How long (in seconds) to wait for late datapoints. :param pulumi.Input[int] max_precision: Maximum number of digits to display when rounding values up or down. :param pulumi.Input[str] name: Name of the chart. :param pulumi.Input[int] refresh_interval: How often (in seconds) to refresh the values of the list. :param pulumi.Input[str] secondary_visualization: The type of secondary visualization. Can be `None`, `Radial`, `Linear`, or `Sparkline`. If unset, the SignalFx default is used (`Sparkline`). :param pulumi.Input[str] sort_by: The property to use when sorting the elements. Use `value` if you want to sort by value. Must be prepended with `+` for ascending or `-` for descending (e.g. `-foo`). Note there are some special values for some of the options provided in the UX: `"value"` for Value, `"sf_originatingMetric"` for Metric, and `"sf_metric"` for plot. :param pulumi.Input[int] start_time: Seconds since epoch. Used for visualization. Conflicts with `time_range`. :param pulumi.Input[int] time_range: How many seconds ago from which to display data. For example, the last hour would be `3600`, etc. Conflicts with `start_time` and `end_time`. :param pulumi.Input[str] timezone: The property value is a string that denotes the geographic region associated with the time zone, (default UTC). :param pulumi.Input[str] unit_prefix: Must be `"Metric"` or `"Binary`". `"Metric"` by default. :param pulumi.Input[Sequence[pulumi.Input['ListChartVizOptionArgs']]] viz_options: Plot-level customization options, associated with a publish statement. """ pulumi.set(__self__, "program_text", program_text) if color_by is not None: pulumi.set(__self__, "color_by", color_by) if color_scales is not None: pulumi.set(__self__, "color_scales", color_scales) if description is not None: pulumi.set(__self__, "description", description) if disable_sampling is not None: pulumi.set(__self__, "disable_sampling", disable_sampling) if end_time is not None: pulumi.set(__self__, "end_time", end_time) if hide_missing_values is not None: pulumi.set(__self__, "hide_missing_values", hide_missing_values) if legend_fields_to_hides is not None: warnings.warn("""Please use legend_options_fields""", DeprecationWarning) pulumi.log.warn("""legend_fields_to_hides is deprecated: Please use legend_options_fields""") if legend_fields_to_hides is not None: pulumi.set(__self__, "legend_fields_to_hides", legend_fields_to_hides) if legend_options_fields is not None: pulumi.set(__self__, "legend_options_fields", legend_options_fields) if max_delay is not None: pulumi.set(__self__, "max_delay", max_delay) if max_precision is not None: pulumi.set(__self__, "max_precision", max_precision) if name is not None: pulumi.set(__self__, "name", name) if refresh_interval is not None: pulumi.set(__self__, "refresh_interval", refresh_interval) if secondary_visualization is not None: pulumi.set(__self__, "secondary_visualization", secondary_visualization) if sort_by is not None: pulumi.set(__self__, "sort_by", sort_by) if start_time is not None: pulumi.set(__self__, "start_time", start_time) if time_range is not None: pulumi.set(__self__, "time_range", time_range) if timezone is not None: pulumi.set(__self__, "timezone", timezone) if unit_prefix is not None: pulumi.set(__self__, "unit_prefix", unit_prefix) if viz_options is not None: pulumi.set(__self__, "viz_options", viz_options) @property @pulumi.getter(name="programText") def program_text(self) -> pulumi.Input[str]: """ Signalflow program text for the chart. More info[in the SignalFx docs](https://developers.signalfx.com/signalflow_analytics/signalflow_overview.html#_signalflow_programming_language). """ return pulumi.get(self, "program_text") @program_text.setter def program_text(self, value: pulumi.Input[str]): pulumi.set(self, "program_text", value) @property @pulumi.getter(name="colorBy") def color_by(self) -> Optional[pulumi.Input[str]]: """ Must be one of `"Scale"`, `"Dimension"` or `"Metric"`. `"Dimension"` by default. """ return pulumi.get(self, "color_by") @color_by.setter def color_by(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "color_by", value) @property @pulumi.getter(name="colorScales") def color_scales(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['ListChartColorScaleArgs']]]]: """ Single color range including both the color to display for that range and the borders of the range. Example: `[{ gt = 60, color = "blue" }, { lte = 60, color = "yellow" }]`. Look at this [link](https://docs.signalfx.com/en/latest/charts/chart-options-tab.html). """ return pulumi.get(self, "color_scales") @color_scales.setter def color_scales(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['ListChartColorScaleArgs']]]]): pulumi.set(self, "color_scales", value) @property @pulumi.getter def description(self) -> Optional[pulumi.Input[str]]: """ Description of the chart. """ return pulumi.get(self, "description") @description.setter def description(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "description", value) @property @pulumi.getter(name="disableSampling") def disable_sampling(self) -> Optional[pulumi.Input[bool]]: """ If `false`, samples a subset of the output MTS, which improves UI performance. `false` by default. """ return pulumi.get(self, "disable_sampling") @disable_sampling.setter def disable_sampling(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "disable_sampling", value) @property @pulumi.getter(name="endTime") def end_time(self) -> Optional[pulumi.Input[int]]: """ Seconds since epoch. Used for visualization. Conflicts with `time_range`. """ return pulumi.get(self, "end_time") @end_time.setter def end_time(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "end_time", value) @property @pulumi.getter(name="hideMissingValues") def hide_missing_values(self) -> Optional[pulumi.Input[bool]]: """ Determines whether to hide missing data points in the chart. If `true`, missing data points in the chart would be hidden. `false` by default. """ return pulumi.get(self, "hide_missing_values") @hide_missing_values.setter def hide_missing_values(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "hide_missing_values", value) @property @pulumi.getter(name="legendFieldsToHides") def legend_fields_to_hides(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ List of properties that should not be displayed in the chart legend (i.e. dimension names). All the properties are visible by default. Deprecated, please use `legend_options_fields`. """ return pulumi.get(self, "legend_fields_to_hides") @legend_fields_to_hides.setter def legend_fields_to_hides(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "legend_fields_to_hides", value) @property @pulumi.getter(name="legendOptionsFields") def legend_options_fields(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['ListChartLegendOptionsFieldArgs']]]]: """ List of property names and enabled flags that should be displayed in the data table for the chart, in the order provided. This option cannot be used with `legend_fields_to_hide`. """ return pulumi.get(self, "legend_options_fields") @legend_options_fields.setter def legend_options_fields(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['ListChartLegendOptionsFieldArgs']]]]): pulumi.set(self, "legend_options_fields", value) @property @pulumi.getter(name="maxDelay") def max_delay(self) -> Optional[pulumi.Input[int]]: """ How long (in seconds) to wait for late datapoints. """ return pulumi.get(self, "max_delay") @max_delay.setter def max_delay(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "max_delay", value) @property @pulumi.getter(name="maxPrecision") def max_precision(self) -> Optional[pulumi.Input[int]]: """ Maximum number of digits to display when rounding values up or down. """ return pulumi.get(self, "max_precision") @max_precision.setter def max_precision(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "max_precision", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ Name of the chart. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter(name="refreshInterval") def refresh_interval(self) -> Optional[pulumi.Input[int]]: """ How often (in seconds) to refresh the values of the list. """ return pulumi.get(self, "refresh_interval") @refresh_interval.setter def refresh_interval(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "refresh_interval", value) @property @pulumi.getter(name="secondaryVisualization") def secondary_visualization(self) -> Optional[pulumi.Input[str]]: """ The type of secondary visualization. Can be `None`, `Radial`, `Linear`, or `Sparkline`. If unset, the SignalFx default is used (`Sparkline`). """ return pulumi.get(self, "secondary_visualization") @secondary_visualization.setter def secondary_visualization(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "secondary_visualization", value) @property @pulumi.getter(name="sortBy") def sort_by(self) -> Optional[pulumi.Input[str]]: """ The property to use when sorting the elements. Use `value` if you want to sort by value. Must be prepended with `+` for ascending or `-` for descending (e.g. `-foo`). Note there are some special values for some of the options provided in the UX: `"value"` for Value, `"sf_originatingMetric"` for Metric, and `"sf_metric"` for plot. """ return pulumi.get(self, "sort_by") @sort_by.setter def sort_by(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "sort_by", value) @property @pulumi.getter(name="startTime") def start_time(self) -> Optional[pulumi.Input[int]]: """ Seconds since epoch. Used for visualization. Conflicts with `time_range`. """ return pulumi.get(self, "start_time") @start_time.setter def start_time(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "start_time", value) @property @pulumi.getter(name="timeRange") def time_range(self) -> Optional[pulumi.Input[int]]: """ How many seconds ago from which to display data. For example, the last hour would be `3600`, etc. Conflicts with `start_time` and `end_time`. """ return pulumi.get(self, "time_range") @time_range.setter def time_range(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "time_range", value) @property @pulumi.getter def timezone(self) -> Optional[pulumi.Input[str]]: """ The property value is a string that denotes the geographic region associated with the time zone, (default UTC). """ return pulumi.get(self, "timezone") @timezone.setter def timezone(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "timezone", value) @property @pulumi.getter(name="unitPrefix") def unit_prefix(self) -> Optional[pulumi.Input[str]]: """ Must be `"Metric"` or `"Binary`". `"Metric"` by default. """ return pulumi.get(self, "unit_prefix") @unit_prefix.setter def unit_prefix(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "unit_prefix", value) @property @pulumi.getter(name="vizOptions") def viz_options(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['ListChartVizOptionArgs']]]]: """ Plot-level customization options, associated with a publish statement. """ return pulumi.get(self, "viz_options") @viz_options.setter def viz_options(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['ListChartVizOptionArgs']]]]): pulumi.set(self, "viz_options", value) @pulumi.input_type class _ListChartState: def __init__(__self__, *, color_by: Optional[pulumi.Input[str]] = None, color_scales: Optional[pulumi.Input[Sequence[pulumi.Input['ListChartColorScaleArgs']]]] = None, description: Optional[pulumi.Input[str]] = None, disable_sampling: Optional[pulumi.Input[bool]] = None, end_time: Optional[pulumi.Input[int]] = None, hide_missing_values: Optional[pulumi.Input[bool]] = None, legend_fields_to_hides: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, legend_options_fields: Optional[pulumi.Input[Sequence[pulumi.Input['ListChartLegendOptionsFieldArgs']]]] = None, max_delay: Optional[pulumi.Input[int]] = None, max_precision: Optional[pulumi.Input[int]] = None, name: Optional[pulumi.Input[str]] = None, program_text: Optional[pulumi.Input[str]] = None, refresh_interval: Optional[pulumi.Input[int]] = None, secondary_visualization: Optional[pulumi.Input[str]] = None, sort_by: Optional[pulumi.Input[str]] = None, start_time: Optional[pulumi.Input[int]] = None, time_range: Optional[pulumi.Input[int]] = None, timezone: Optional[pulumi.Input[str]] = None, unit_prefix: Optional[pulumi.Input[str]] = None, url: Optional[pulumi.Input[str]] = None, viz_options: Optional[pulumi.Input[Sequence[pulumi.Input['ListChartVizOptionArgs']]]] = None): """ Input properties used for looking up and filtering ListChart resources. :param pulumi.Input[str] color_by: Must be one of `"Scale"`, `"Dimension"` or `"Metric"`. `"Dimension"` by default. :param pulumi.Input[Sequence[pulumi.Input['ListChartColorScaleArgs']]] color_scales: Single color range including both the color to display for that range and the borders of the range. Example: `[{ gt = 60, color = "blue" }, { lte = 60, color = "yellow" }]`. Look at this [link](https://docs.signalfx.com/en/latest/charts/chart-options-tab.html). :param pulumi.Input[str] description: Description of the chart. :param pulumi.Input[bool] disable_sampling: If `false`, samples a subset of the output MTS, which improves UI performance. `false` by default. :param pulumi.Input[int] end_time: Seconds since epoch. Used for visualization. Conflicts with `time_range`. :param pulumi.Input[bool] hide_missing_values: Determines whether to hide missing data points in the chart. If `true`, missing data points in the chart would be hidden. `false` by default. :param pulumi.Input[Sequence[pulumi.Input[str]]] legend_fields_to_hides: List of properties that should not be displayed in the chart legend (i.e. dimension names). All the properties are visible by default. Deprecated, please use `legend_options_fields`. :param pulumi.Input[Sequence[pulumi.Input['ListChartLegendOptionsFieldArgs']]] legend_options_fields: List of property names and enabled flags that should be displayed in the data table for the chart, in the order provided. This option cannot be used with `legend_fields_to_hide`. :param pulumi.Input[int] max_delay: How long (in seconds) to wait for late datapoints. :param pulumi.Input[int] max_precision: Maximum number of digits to display when rounding values up or down. :param pulumi.Input[str] name: Name of the chart. :param pulumi.Input[str] program_text: Signalflow program text for the chart. More info[in the SignalFx docs](https://developers.signalfx.com/signalflow_analytics/signalflow_overview.html#_signalflow_programming_language). :param pulumi.Input[int] refresh_interval: How often (in seconds) to refresh the values of the list. :param pulumi.Input[str] secondary_visualization: The type of secondary visualization. Can be `None`, `Radial`, `Linear`, or `Sparkline`. If unset, the SignalFx default is used (`Sparkline`). :param pulumi.Input[str] sort_by: The property to use when sorting the elements. Use `value` if you want to sort by value. Must be prepended with `+` for ascending or `-` for descending (e.g. `-foo`). Note there are some special values for some of the options provided in the UX: `"value"` for Value, `"sf_originatingMetric"` for Metric, and `"sf_metric"` for plot. :param pulumi.Input[int] start_time: Seconds since epoch. Used for visualization. Conflicts with `time_range`. :param pulumi.Input[int] time_range: How many seconds ago from which to display data. For example, the last hour would be `3600`, etc. Conflicts with `start_time` and `end_time`. :param pulumi.Input[str] timezone: The property value is a string that denotes the geographic region associated with the time zone, (default UTC). :param pulumi.Input[str] unit_prefix: Must be `"Metric"` or `"Binary`". `"Metric"` by default. :param pulumi.Input[str] url: The URL of the chart. :param pulumi.Input[Sequence[pulumi.Input['ListChartVizOptionArgs']]] viz_options: Plot-level customization options, associated with a publish statement. """ if color_by is not None: pulumi.set(__self__, "color_by", color_by) if color_scales is not None: pulumi.set(__self__, "color_scales", color_scales) if description is not None: pulumi.set(__self__, "description", description) if disable_sampling is not None: pulumi.set(__self__, "disable_sampling", disable_sampling) if end_time is not None: pulumi.set(__self__, "end_time", end_time) if hide_missing_values is not None: pulumi.set(__self__, "hide_missing_values", hide_missing_values) if legend_fields_to_hides is not None: warnings.warn("""Please use legend_options_fields""", DeprecationWarning) pulumi.log.warn("""legend_fields_to_hides is deprecated: Please use legend_options_fields""") if legend_fields_to_hides is not None: pulumi.set(__self__, "legend_fields_to_hides", legend_fields_to_hides) if legend_options_fields is not None: pulumi.set(__self__, "legend_options_fields", legend_options_fields) if max_delay is not None: pulumi.set(__self__, "max_delay", max_delay) if max_precision is not None: pulumi.set(__self__, "max_precision", max_precision) if name is not None: pulumi.set(__self__, "name", name) if program_text is not None: pulumi.set(__self__, "program_text", program_text) if refresh_interval is not None: pulumi.set(__self__, "refresh_interval", refresh_interval) if secondary_visualization is not None: pulumi.set(__self__, "secondary_visualization", secondary_visualization) if sort_by is not None: pulumi.set(__self__, "sort_by", sort_by) if start_time is not None: pulumi.set(__self__, "start_time", start_time) if time_range is not None: pulumi.set(__self__, "time_range", time_range) if timezone is not None: pulumi.set(__self__, "timezone", timezone) if unit_prefix is not None: pulumi.set(__self__, "unit_prefix", unit_prefix) if url is not None: pulumi.set(__self__, "url", url) if viz_options is not None: pulumi.set(__self__, "viz_options", viz_options) @property @pulumi.getter(name="colorBy") def color_by(self) -> Optional[pulumi.Input[str]]: """ Must be one of `"Scale"`, `"Dimension"` or `"Metric"`. `"Dimension"` by default. """ return pulumi.get(self, "color_by") @color_by.setter def color_by(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "color_by", value) @property @pulumi.getter(name="colorScales") def color_scales(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['ListChartColorScaleArgs']]]]: """ Single color range including both the color to display for that range and the borders of the range. Example: `[{ gt = 60, color = "blue" }, { lte = 60, color = "yellow" }]`. Look at this [link](https://docs.signalfx.com/en/latest/charts/chart-options-tab.html). """ return pulumi.get(self, "color_scales") @color_scales.setter def color_scales(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['ListChartColorScaleArgs']]]]): pulumi.set(self, "color_scales", value) @property @pulumi.getter def description(self) -> Optional[pulumi.Input[str]]: """ Description of the chart. """ return pulumi.get(self, "description") @description.setter def description(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "description", value) @property @pulumi.getter(name="disableSampling") def disable_sampling(self) -> Optional[pulumi.Input[bool]]: """ If `false`, samples a subset of the output MTS, which improves UI performance. `false` by default. """ return pulumi.get(self, "disable_sampling") @disable_sampling.setter def disable_sampling(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "disable_sampling", value) @property @pulumi.getter(name="endTime") def end_time(self) -> Optional[pulumi.Input[int]]: """ Seconds since epoch. Used for visualization. Conflicts with `time_range`. """ return pulumi.get(self, "end_time") @end_time.setter def end_time(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "end_time", value) @property @pulumi.getter(name="hideMissingValues") def hide_missing_values(self) -> Optional[pulumi.Input[bool]]: """ Determines whether to hide missing data points in the chart. If `true`, missing data points in the chart would be hidden. `false` by default. """ return pulumi.get(self, "hide_missing_values") @hide_missing_values.setter def hide_missing_values(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "hide_missing_values", value) @property @pulumi.getter(name="legendFieldsToHides") def legend_fields_to_hides(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ List of properties that should not be displayed in the chart legend (i.e. dimension names). All the properties are visible by default. Deprecated, please use `legend_options_fields`. """ return pulumi.get(self, "legend_fields_to_hides") @legend_fields_to_hides.setter def legend_fields_to_hides(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "legend_fields_to_hides", value) @property @pulumi.getter(name="legendOptionsFields") def legend_options_fields(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['ListChartLegendOptionsFieldArgs']]]]: """ List of property names and enabled flags that should be displayed in the data table for the chart, in the order provided. This option cannot be used with `legend_fields_to_hide`. """ return pulumi.get(self, "legend_options_fields") @legend_options_fields.setter def legend_options_fields(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['ListChartLegendOptionsFieldArgs']]]]): pulumi.set(self, "legend_options_fields", value) @property @pulumi.getter(name="maxDelay") def max_delay(self) -> Optional[pulumi.Input[int]]: """ How long (in seconds) to wait for late datapoints. """ return pulumi.get(self, "max_delay") @max_delay.setter def max_delay(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "max_delay", value) @property @pulumi.getter(name="maxPrecision") def max_precision(self) -> Optional[pulumi.Input[int]]: """ Maximum number of digits to display when rounding values up or down. """ return pulumi.get(self, "max_precision") @max_precision.setter def max_precision(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "max_precision", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ Name of the chart. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter(name="programText") def program_text(self) -> Optional[pulumi.Input[str]]: """ Signalflow program text for the chart. More info[in the SignalFx docs](https://developers.signalfx.com/signalflow_analytics/signalflow_overview.html#_signalflow_programming_language). """ return pulumi.get(self, "program_text") @program_text.setter def program_text(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "program_text", value) @property @pulumi.getter(name="refreshInterval") def refresh_interval(self) -> Optional[pulumi.Input[int]]: """ How often (in seconds) to refresh the values of the list. """ return pulumi.get(self, "refresh_interval") @refresh_interval.setter def refresh_interval(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "refresh_interval", value) @property @pulumi.getter(name="secondaryVisualization") def secondary_visualization(self) -> Optional[pulumi.Input[str]]: """ The type of secondary visualization. Can be `None`, `Radial`, `Linear`, or `Sparkline`. If unset, the SignalFx default is used (`Sparkline`). """ return pulumi.get(self, "secondary_visualization") @secondary_visualization.setter def secondary_visualization(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "secondary_visualization", value) @property @pulumi.getter(name="sortBy") def sort_by(self) -> Optional[pulumi.Input[str]]: """ The property to use when sorting the elements. Use `value` if you want to sort by value. Must be prepended with `+` for ascending or `-` for descending (e.g. `-foo`). Note there are some special values for some of the options provided in the UX: `"value"` for Value, `"sf_originatingMetric"` for Metric, and `"sf_metric"` for plot. """ return pulumi.get(self, "sort_by") @sort_by.setter def sort_by(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "sort_by", value) @property @pulumi.getter(name="startTime") def start_time(self) -> Optional[pulumi.Input[int]]: """ Seconds since epoch. Used for visualization. Conflicts with `time_range`. """ return pulumi.get(self, "start_time") @start_time.setter def start_time(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "start_time", value) @property @pulumi.getter(name="timeRange") def time_range(self) -> Optional[pulumi.Input[int]]: """ How many seconds ago from which to display data. For example, the last hour would be `3600`, etc. Conflicts with `start_time` and `end_time`. """ return pulumi.get(self, "time_range") @time_range.setter def time_range(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "time_range", value) @property @pulumi.getter def timezone(self) -> Optional[pulumi.Input[str]]: """ The property value is a string that denotes the geographic region associated with the time zone, (default UTC). """ return pulumi.get(self, "timezone") @timezone.setter def timezone(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "timezone", value) @property @pulumi.getter(name="unitPrefix") def unit_prefix(self) -> Optional[pulumi.Input[str]]: """ Must be `"Metric"` or `"Binary`". `"Metric"` by default. """ return pulumi.get(self, "unit_prefix") @unit_prefix.setter def unit_prefix(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "unit_prefix", value) @property @pulumi.getter def url(self) -> Optional[pulumi.Input[str]]: """ The URL of the chart. """ return pulumi.get(self, "url") @url.setter def url(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "url", value) @property @pulumi.getter(name="vizOptions") def viz_options(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['ListChartVizOptionArgs']]]]: """ Plot-level customization options, associated with a publish statement. """ return pulumi.get(self, "viz_options") @viz_options.setter def viz_options(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['ListChartVizOptionArgs']]]]): pulumi.set(self, "viz_options", value) class ListChart(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, color_by: Optional[pulumi.Input[str]] = None, color_scales: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ListChartColorScaleArgs']]]]] = None, description: Optional[pulumi.Input[str]] = None, disable_sampling: Optional[pulumi.Input[bool]] = None, end_time: Optional[pulumi.Input[int]] = None, hide_missing_values: Optional[pulumi.Input[bool]] = None, legend_fields_to_hides: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, legend_options_fields: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ListChartLegendOptionsFieldArgs']]]]] = None, max_delay: Optional[pulumi.Input[int]] = None, max_precision: Optional[pulumi.Input[int]] = None, name: Optional[pulumi.Input[str]] = None, program_text: Optional[pulumi.Input[str]] = None, refresh_interval: Optional[pulumi.Input[int]] = None, secondary_visualization: Optional[pulumi.Input[str]] = None, sort_by: Optional[pulumi.Input[str]] = None, start_time: Optional[pulumi.Input[int]] = None, time_range: Optional[pulumi.Input[int]] = None, timezone: Optional[pulumi.Input[str]] = None, unit_prefix: Optional[pulumi.Input[str]] = None, viz_options: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ListChartVizOptionArgs']]]]] = None, __props__=None): """ This chart type displays current data values in a list format. The name of each value in the chart reflects the name of the plot and any associated dimensions. We recommend you click the Pencil icon and give the plot a meaningful name, as in plot B below. Otherwise, just the raw metric name will be displayed on the chart, as in plot A below. ## Example Usage ```python import pulumi import pulumi_signalfx as signalfx mylistchart0 = signalfx.ListChart("mylistchart0", color_by="Metric", description="Very cool List Chart", disable_sampling=True, hide_missing_values=True, legend_options_fields=[ signalfx.ListChartLegendOptionsFieldArgs( enabled=False, property="collector", ), signalfx.ListChartLegendOptionsFieldArgs( enabled=True, property="cluster_name", ), signalfx.ListChartLegendOptionsFieldArgs( enabled=True, property="role", ), signalfx.ListChartLegendOptionsFieldArgs( enabled=False, property="collector", ), signalfx.ListChartLegendOptionsFieldArgs( enabled=False, property="host", ), ], max_delay=2, max_precision=2, program_text=\"\"\"myfilters = filter("cluster_name", "prod") and filter("role", "search") data("cpu.total.idle", filter=myfilters).publish() \"\"\", refresh_interval=1, sort_by="-value", timezone="Europe/Paris") ``` :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] color_by: Must be one of `"Scale"`, `"Dimension"` or `"Metric"`. `"Dimension"` by default. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ListChartColorScaleArgs']]]] color_scales: Single color range including both the color to display for that range and the borders of the range. Example: `[{ gt = 60, color = "blue" }, { lte = 60, color = "yellow" }]`. Look at this [link](https://docs.signalfx.com/en/latest/charts/chart-options-tab.html). :param pulumi.Input[str] description: Description of the chart. :param pulumi.Input[bool] disable_sampling: If `false`, samples a subset of the output MTS, which improves UI performance. `false` by default. :param pulumi.Input[int] end_time: Seconds since epoch. Used for visualization. Conflicts with `time_range`. :param pulumi.Input[bool] hide_missing_values: Determines whether to hide missing data points in the chart. If `true`, missing data points in the chart would be hidden. `false` by default. :param pulumi.Input[Sequence[pulumi.Input[str]]] legend_fields_to_hides: List of properties that should not be displayed in the chart legend (i.e. dimension names). All the properties are visible by default. Deprecated, please use `legend_options_fields`. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ListChartLegendOptionsFieldArgs']]]] legend_options_fields: List of property names and enabled flags that should be displayed in the data table for the chart, in the order provided. This option cannot be used with `legend_fields_to_hide`. :param pulumi.Input[int] max_delay: How long (in seconds) to wait for late datapoints. :param pulumi.Input[int] max_precision: Maximum number of digits to display when rounding values up or down. :param pulumi.Input[str] name: Name of the chart. :param pulumi.Input[str] program_text: Signalflow program text for the chart. More info[in the SignalFx docs](https://developers.signalfx.com/signalflow_analytics/signalflow_overview.html#_signalflow_programming_language). :param pulumi.Input[int] refresh_interval: How often (in seconds) to refresh the values of the list. :param pulumi.Input[str] secondary_visualization: The type of secondary visualization. Can be `None`, `Radial`, `Linear`, or `Sparkline`. If unset, the SignalFx default is used (`Sparkline`). :param pulumi.Input[str] sort_by: The property to use when sorting the elements. Use `value` if you want to sort by value. Must be prepended with `+` for ascending or `-` for descending (e.g. `-foo`). Note there are some special values for some of the options provided in the UX: `"value"` for Value, `"sf_originatingMetric"` for Metric, and `"sf_metric"` for plot. :param pulumi.Input[int] start_time: Seconds since epoch. Used for visualization. Conflicts with `time_range`. :param pulumi.Input[int] time_range: How many seconds ago from which to display data. For example, the last hour would be `3600`, etc. Conflicts with `start_time` and `end_time`. :param pulumi.Input[str] timezone: The property value is a string that denotes the geographic region associated with the time zone, (default UTC). :param pulumi.Input[str] unit_prefix: Must be `"Metric"` or `"Binary`". `"Metric"` by default. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ListChartVizOptionArgs']]]] viz_options: Plot-level customization options, associated with a publish statement. """ ... @overload def __init__(__self__, resource_name: str, args: ListChartArgs, opts: Optional[pulumi.ResourceOptions] = None): """ This chart type displays current data values in a list format. The name of each value in the chart reflects the name of the plot and any associated dimensions. We recommend you click the Pencil icon and give the plot a meaningful name, as in plot B below. Otherwise, just the raw metric name will be displayed on the chart, as in plot A below. ## Example Usage ```python import pulumi import pulumi_signalfx as signalfx mylistchart0 = signalfx.ListChart("mylistchart0", color_by="Metric", description="Very cool List Chart", disable_sampling=True, hide_missing_values=True, legend_options_fields=[ signalfx.ListChartLegendOptionsFieldArgs( enabled=False, property="collector", ), signalfx.ListChartLegendOptionsFieldArgs( enabled=True, property="cluster_name", ), signalfx.ListChartLegendOptionsFieldArgs( enabled=True, property="role", ), signalfx.ListChartLegendOptionsFieldArgs( enabled=False, property="collector", ), signalfx.ListChartLegendOptionsFieldArgs( enabled=False, property="host", ), ], max_delay=2, max_precision=2, program_text=\"\"\"myfilters = filter("cluster_name", "prod") and filter("role", "search") data("cpu.total.idle", filter=myfilters).publish() \"\"\", refresh_interval=1, sort_by="-value", timezone="Europe/Paris") ``` :param str resource_name: The name of the resource. :param ListChartArgs 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(ListChartArgs, 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, color_by: Optional[pulumi.Input[str]] = None, color_scales: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ListChartColorScaleArgs']]]]] = None, description: Optional[pulumi.Input[str]] = None, disable_sampling: Optional[pulumi.Input[bool]] = None, end_time: Optional[pulumi.Input[int]] = None, hide_missing_values: Optional[pulumi.Input[bool]] = None, legend_fields_to_hides: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, legend_options_fields: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ListChartLegendOptionsFieldArgs']]]]] = None, max_delay: Optional[pulumi.Input[int]] = None, max_precision: Optional[pulumi.Input[int]] = None, name: Optional[pulumi.Input[str]] = None, program_text: Optional[pulumi.Input[str]] = None, refresh_interval: Optional[pulumi.Input[int]] = None, secondary_visualization: Optional[pulumi.Input[str]] = None, sort_by: Optional[pulumi.Input[str]] = None, start_time: Optional[pulumi.Input[int]] = None, time_range: Optional[pulumi.Input[int]] = None, timezone: Optional[pulumi.Input[str]] = None, unit_prefix: Optional[pulumi.Input[str]] = None, viz_options: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ListChartVizOptionArgs']]]]] = 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__ = ListChartArgs.__new__(ListChartArgs) __props__.__dict__["color_by"] = color_by __props__.__dict__["color_scales"] = color_scales __props__.__dict__["description"] = description __props__.__dict__["disable_sampling"] = disable_sampling __props__.__dict__["end_time"] = end_time __props__.__dict__["hide_missing_values"] = hide_missing_values if legend_fields_to_hides is not None and not opts.urn: warnings.warn("""Please use legend_options_fields""", DeprecationWarning) pulumi.log.warn("""legend_fields_to_hides is deprecated: Please use legend_options_fields""") __props__.__dict__["legend_fields_to_hides"] = legend_fields_to_hides __props__.__dict__["legend_options_fields"] = legend_options_fields __props__.__dict__["max_delay"] = max_delay __props__.__dict__["max_precision"] = max_precision __props__.__dict__["name"] = name if program_text is None and not opts.urn: raise TypeError("Missing required property 'program_text'") __props__.__dict__["program_text"] = program_text __props__.__dict__["refresh_interval"] = refresh_interval __props__.__dict__["secondary_visualization"] = secondary_visualization __props__.__dict__["sort_by"] = sort_by __props__.__dict__["start_time"] = start_time __props__.__dict__["time_range"] = time_range __props__.__dict__["timezone"] = timezone __props__.__dict__["unit_prefix"] = unit_prefix __props__.__dict__["viz_options"] = viz_options __props__.__dict__["url"] = None super(ListChart, __self__).__init__( 'signalfx:index/listChart:ListChart', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, color_by: Optional[pulumi.Input[str]] = None, color_scales: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ListChartColorScaleArgs']]]]] = None, description: Optional[pulumi.Input[str]] = None, disable_sampling: Optional[pulumi.Input[bool]] = None, end_time: Optional[pulumi.Input[int]] = None, hide_missing_values: Optional[pulumi.Input[bool]] = None, legend_fields_to_hides: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, legend_options_fields: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ListChartLegendOptionsFieldArgs']]]]] = None, max_delay: Optional[pulumi.Input[int]] = None, max_precision: Optional[pulumi.Input[int]] = None, name: Optional[pulumi.Input[str]] = None, program_text: Optional[pulumi.Input[str]] = None, refresh_interval: Optional[pulumi.Input[int]] = None, secondary_visualization: Optional[pulumi.Input[str]] = None, sort_by: Optional[pulumi.Input[str]] = None, start_time: Optional[pulumi.Input[int]] = None, time_range: Optional[pulumi.Input[int]] = None, timezone: Optional[pulumi.Input[str]] = None, unit_prefix: Optional[pulumi.Input[str]] = None, url: Optional[pulumi.Input[str]] = None, viz_options: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ListChartVizOptionArgs']]]]] = None) -> 'ListChart': """ Get an existing ListChart resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] color_by: Must be one of `"Scale"`, `"Dimension"` or `"Metric"`. `"Dimension"` by default. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ListChartColorScaleArgs']]]] color_scales: Single color range including both the color to display for that range and the borders of the range. Example: `[{ gt = 60, color = "blue" }, { lte = 60, color = "yellow" }]`. Look at this [link](https://docs.signalfx.com/en/latest/charts/chart-options-tab.html). :param pulumi.Input[str] description: Description of the chart. :param pulumi.Input[bool] disable_sampling: If `false`, samples a subset of the output MTS, which improves UI performance. `false` by default. :param pulumi.Input[int] end_time: Seconds since epoch. Used for visualization. Conflicts with `time_range`. :param pulumi.Input[bool] hide_missing_values: Determines whether to hide missing data points in the chart. If `true`, missing data points in the chart would be hidden. `false` by default. :param pulumi.Input[Sequence[pulumi.Input[str]]] legend_fields_to_hides: List of properties that should not be displayed in the chart legend (i.e. dimension names). All the properties are visible by default. Deprecated, please use `legend_options_fields`. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ListChartLegendOptionsFieldArgs']]]] legend_options_fields: List of property names and enabled flags that should be displayed in the data table for the chart, in the order provided. This option cannot be used with `legend_fields_to_hide`. :param pulumi.Input[int] max_delay: How long (in seconds) to wait for late datapoints. :param pulumi.Input[int] max_precision: Maximum number of digits to display when rounding values up or down. :param pulumi.Input[str] name: Name of the chart. :param pulumi.Input[str] program_text: Signalflow program text for the chart. More info[in the SignalFx docs](https://developers.signalfx.com/signalflow_analytics/signalflow_overview.html#_signalflow_programming_language). :param pulumi.Input[int] refresh_interval: How often (in seconds) to refresh the values of the list. :param pulumi.Input[str] secondary_visualization: The type of secondary visualization. Can be `None`, `Radial`, `Linear`, or `Sparkline`. If unset, the SignalFx default is used (`Sparkline`). :param pulumi.Input[str] sort_by: The property to use when sorting the elements. Use `value` if you want to sort by value. Must be prepended with `+` for ascending or `-` for descending (e.g. `-foo`). Note there are some special values for some of the options provided in the UX: `"value"` for Value, `"sf_originatingMetric"` for Metric, and `"sf_metric"` for plot. :param pulumi.Input[int] start_time: Seconds since epoch. Used for visualization. Conflicts with `time_range`. :param pulumi.Input[int] time_range: How many seconds ago from which to display data. For example, the last hour would be `3600`, etc. Conflicts with `start_time` and `end_time`. :param pulumi.Input[str] timezone: The property value is a string that denotes the geographic region associated with the time zone, (default UTC). :param pulumi.Input[str] unit_prefix: Must be `"Metric"` or `"Binary`". `"Metric"` by default. :param pulumi.Input[str] url: The URL of the chart. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ListChartVizOptionArgs']]]] viz_options: Plot-level customization options, associated with a publish statement. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _ListChartState.__new__(_ListChartState) __props__.__dict__["color_by"] = color_by __props__.__dict__["color_scales"] = color_scales __props__.__dict__["description"] = description __props__.__dict__["disable_sampling"] = disable_sampling __props__.__dict__["end_time"] = end_time __props__.__dict__["hide_missing_values"] = hide_missing_values __props__.__dict__["legend_fields_to_hides"] = legend_fields_to_hides __props__.__dict__["legend_options_fields"] = legend_options_fields __props__.__dict__["max_delay"] = max_delay __props__.__dict__["max_precision"] = max_precision __props__.__dict__["name"] = name __props__.__dict__["program_text"] = program_text __props__.__dict__["refresh_interval"] = refresh_interval __props__.__dict__["secondary_visualization"] = secondary_visualization __props__.__dict__["sort_by"] = sort_by __props__.__dict__["start_time"] = start_time __props__.__dict__["time_range"] = time_range __props__.__dict__["timezone"] = timezone __props__.__dict__["unit_prefix"] = unit_prefix __props__.__dict__["url"] = url __props__.__dict__["viz_options"] = viz_options return ListChart(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="colorBy") def color_by(self) -> pulumi.Output[Optional[str]]: """ Must be one of `"Scale"`, `"Dimension"` or `"Metric"`. `"Dimension"` by default. """ return pulumi.get(self, "color_by") @property @pulumi.getter(name="colorScales") def color_scales(self) -> pulumi.Output[Optional[Sequence['outputs.ListChartColorScale']]]: """ Single color range including both the color to display for that range and the borders of the range. Example: `[{ gt = 60, color = "blue" }, { lte = 60, color = "yellow" }]`. Look at this [link](https://docs.signalfx.com/en/latest/charts/chart-options-tab.html). """ return pulumi.get(self, "color_scales") @property @pulumi.getter def description(self) -> pulumi.Output[Optional[str]]: """ Description of the chart. """ return pulumi.get(self, "description") @property @pulumi.getter(name="disableSampling") def disable_sampling(self) -> pulumi.Output[Optional[bool]]: """ If `false`, samples a subset of the output MTS, which improves UI performance. `false` by default. """ return pulumi.get(self, "disable_sampling") @property @pulumi.getter(name="endTime") def end_time(self) -> pulumi.Output[Optional[int]]: """ Seconds since epoch. Used for visualization. Conflicts with `time_range`. """ return pulumi.get(self, "end_time") @property @pulumi.getter(name="hideMissingValues") def hide_missing_values(self) -> pulumi.Output[Optional[bool]]: """ Determines whether to hide missing data points in the chart. If `true`, missing data points in the chart would be hidden. `false` by default. """ return pulumi.get(self, "hide_missing_values") @property @pulumi.getter(name="legendFieldsToHides") def legend_fields_to_hides(self) -> pulumi.Output[Optional[Sequence[str]]]: """ List of properties that should not be displayed in the chart legend (i.e. dimension names). All the properties are visible by default. Deprecated, please use `legend_options_fields`. """ return pulumi.get(self, "legend_fields_to_hides") @property @pulumi.getter(name="legendOptionsFields") def legend_options_fields(self) -> pulumi.Output[Optional[Sequence['outputs.ListChartLegendOptionsField']]]: """ List of property names and enabled flags that should be displayed in the data table for the chart, in the order provided. This option cannot be used with `legend_fields_to_hide`. """ return pulumi.get(self, "legend_options_fields") @property @pulumi.getter(name="maxDelay") def max_delay(self) -> pulumi.Output[Optional[int]]: """ How long (in seconds) to wait for late datapoints. """ return pulumi.get(self, "max_delay") @property @pulumi.getter(name="maxPrecision") def max_precision(self) -> pulumi.Output[Optional[int]]: """ Maximum number of digits to display when rounding values up or down. """ return pulumi.get(self, "max_precision") @property @pulumi.getter def name(self) -> pulumi.Output[str]: """ Name of the chart. """ return pulumi.get(self, "name") @property @pulumi.getter(name="programText") def program_text(self) -> pulumi.Output[str]: """ Signalflow program text for the chart. More info[in the SignalFx docs](https://developers.signalfx.com/signalflow_analytics/signalflow_overview.html#_signalflow_programming_language). """ return pulumi.get(self, "program_text") @property @pulumi.getter(name="refreshInterval") def refresh_interval(self) -> pulumi.Output[Optional[int]]: """ How often (in seconds) to refresh the values of the list. """ return pulumi.get(self, "refresh_interval") @property @pulumi.getter(name="secondaryVisualization") def secondary_visualization(self) -> pulumi.Output[Optional[str]]: """ The type of secondary visualization. Can be `None`, `Radial`, `Linear`, or `Sparkline`. If unset, the SignalFx default is used (`Sparkline`). """ return pulumi.get(self, "secondary_visualization") @property @pulumi.getter(name="sortBy") def sort_by(self) -> pulumi.Output[Optional[str]]: """ The property to use when sorting the elements. Use `value` if you want to sort by value. Must be prepended with `+` for ascending or `-` for descending (e.g. `-foo`). Note there are some special values for some of the options provided in the UX: `"value"` for Value, `"sf_originatingMetric"` for Metric, and `"sf_metric"` for plot. """ return pulumi.get(self, "sort_by") @property @pulumi.getter(name="startTime") def start_time(self) -> pulumi.Output[Optional[int]]: """ Seconds since epoch. Used for visualization. Conflicts with `time_range`. """ return pulumi.get(self, "start_time") @property @pulumi.getter(name="timeRange") def time_range(self) -> pulumi.Output[Optional[int]]: """ How many seconds ago from which to display data. For example, the last hour would be `3600`, etc. Conflicts with `start_time` and `end_time`. """ return pulumi.get(self, "time_range") @property @pulumi.getter def timezone(self) -> pulumi.Output[Optional[str]]: """ The property value is a string that denotes the geographic region associated with the time zone, (default UTC). """ return pulumi.get(self, "timezone") @property @pulumi.getter(name="unitPrefix") def unit_prefix(self) -> pulumi.Output[Optional[str]]: """ Must be `"Metric"` or `"Binary`". `"Metric"` by default. """ return pulumi.get(self, "unit_prefix") @property @pulumi.getter def url(self) -> pulumi.Output[str]: """ The URL of the chart. """ return pulumi.get(self, "url") @property @pulumi.getter(name="vizOptions") def viz_options(self) -> pulumi.Output[Optional[Sequence['outputs.ListChartVizOption']]]: """ Plot-level customization options, associated with a publish statement. """ return pulumi.get(self, "viz_options")
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79d45afd1b4490d6b8941ca6b19d1c7d2b68fb9a
2,886
py
Python
tests/path/tsk_path_spec.py
Defense-Cyber-Crime-Center/dfvfs
da2ccbc4c989ced5ad651057bd8f5a4b18af6d37
[ "Apache-2.0" ]
2
2016-02-18T12:46:26.000Z
2022-03-13T03:05:05.000Z
tests/path/tsk_path_spec.py
Defense-Cyber-Crime-Center/dfvfs
da2ccbc4c989ced5ad651057bd8f5a4b18af6d37
[ "Apache-2.0" ]
null
null
null
tests/path/tsk_path_spec.py
Defense-Cyber-Crime-Center/dfvfs
da2ccbc4c989ced5ad651057bd8f5a4b18af6d37
[ "Apache-2.0" ]
5
2016-12-18T08:05:39.000Z
2019-11-19T21:18:00.000Z
#!/usr/bin/python # -*- coding: utf-8 -*- """Tests for the TSK path specification implementation.""" import unittest from tests.path import test_lib from dfvfs.path import tsk_path_spec class TSKPathSpecTest(test_lib.PathSpecTestCase): """Tests for the TSK path specification implementation.""" def testInitialize(self): """Tests the path specification initialization.""" path_spec = tsk_path_spec.TSKPathSpec( location=u'/test', parent=self._path_spec) self.assertNotEqual(path_spec, None) path_spec = tsk_path_spec.TSKPathSpec( data_stream=u'test', location=u'/test', parent=self._path_spec) self.assertNotEqual(path_spec, None) path_spec = tsk_path_spec.TSKPathSpec( inode=1, parent=self._path_spec) self.assertNotEqual(path_spec, None) path_spec = tsk_path_spec.TSKPathSpec( location=u'/test', inode=1, parent=self._path_spec) self.assertNotEqual(path_spec, None) with self.assertRaises(ValueError): _ = tsk_path_spec.TSKPathSpec(location=u'/test', parent=None) with self.assertRaises(ValueError): _ = tsk_path_spec.TSKPathSpec(location=None, parent=self._path_spec) with self.assertRaises(ValueError): _ = tsk_path_spec.TSKPathSpec(inode=None, parent=self._path_spec) with self.assertRaises(ValueError): _ = tsk_path_spec.TSKPathSpec( location=u'/test', parent=self._path_spec, bogus=u'BOGUS') def testComparable(self): """Tests the path specification comparable property.""" path_spec = tsk_path_spec.TSKPathSpec( location=u'/test', parent=self._path_spec) self.assertNotEqual(path_spec, None) expected_comparable = u'\n'.join([ u'type: TEST', u'type: TSK, location: /test', u'']) self.assertEqual(path_spec.comparable, expected_comparable) path_spec = tsk_path_spec.TSKPathSpec( data_stream=u'test', location=u'/test', parent=self._path_spec) self.assertNotEqual(path_spec, None) expected_comparable = u'\n'.join([ u'type: TEST', u'type: TSK, data stream: test, location: /test', u'']) self.assertEqual(path_spec.comparable, expected_comparable) path_spec = tsk_path_spec.TSKPathSpec( inode=1, parent=self._path_spec) self.assertNotEqual(path_spec, None) expected_comparable = u'\n'.join([ u'type: TEST', u'type: TSK, inode: 1', u'']) self.assertEqual(path_spec.comparable, expected_comparable) path_spec = tsk_path_spec.TSKPathSpec( location=u'/test', inode=1, parent=self._path_spec) self.assertNotEqual(path_spec, None) expected_comparable = u'\n'.join([ u'type: TEST', u'type: TSK, inode: 1, location: /test', u'']) self.assertEqual(path_spec.comparable, expected_comparable) if __name__ == '__main__': unittest.main()
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7
8dfee8fb4ff1193d6f75a9480034fa4d43b86fce
88,623
py
Python
nfv/nfv-tests/nfv_unit_tests/tests/test_fw_update_strategy.py
riddopic/nfv
e5ced4ade4916910646bcf8018dfabadef447fc2
[ "Apache-2.0" ]
2
2020-02-07T19:01:36.000Z
2022-02-23T01:41:46.000Z
nfv/nfv-tests/nfv_unit_tests/tests/test_fw_update_strategy.py
riddopic/nfv
e5ced4ade4916910646bcf8018dfabadef447fc2
[ "Apache-2.0" ]
1
2021-01-14T12:02:25.000Z
2021-01-14T12:02:25.000Z
nfv/nfv-tests/nfv_unit_tests/tests/test_fw_update_strategy.py
riddopic/nfv
e5ced4ade4916910646bcf8018dfabadef447fc2
[ "Apache-2.0" ]
2
2021-01-13T08:39:21.000Z
2022-02-09T00:21:55.000Z
# # Copyright (c) 2020 Wind River Systems, Inc. # # SPDX-License-Identifier: Apache-2.0 # import mock import uuid from nfv_vim import nfvi from nfv_vim.strategy._strategy import FwUpdateStrategy from nfv_vim.objects import HOST_PERSONALITY from nfv_vim.objects import SW_UPDATE_ALARM_RESTRICTION from nfv_vim.objects import SW_UPDATE_APPLY_TYPE from nfv_vim.objects import SW_UPDATE_INSTANCE_ACTION from . import sw_update_testcase # noqa: H304 def create_fw_update_strategy( controller_apply_type=SW_UPDATE_APPLY_TYPE.IGNORE, storage_apply_type=SW_UPDATE_APPLY_TYPE.IGNORE, worker_apply_type=SW_UPDATE_APPLY_TYPE.IGNORE, max_parallel_worker_hosts=2, default_instance_action=SW_UPDATE_INSTANCE_ACTION.STOP_START, alarm_restrictions=SW_UPDATE_ALARM_RESTRICTION.STRICT, single_controller=False): """ Create a firmware update strategy """ return FwUpdateStrategy( uuid=str(uuid.uuid4()), controller_apply_type=controller_apply_type, storage_apply_type=storage_apply_type, worker_apply_type=worker_apply_type, max_parallel_worker_hosts=max_parallel_worker_hosts, default_instance_action=default_instance_action, alarm_restrictions=alarm_restrictions, ignore_alarms=[], single_controller=single_controller ) @mock.patch('nfv_vim.nfvi.nfvi_compute_plugin_disabled', sw_update_testcase.fake_nfvi_compute_plugin_disabled) class TestFwUpdateStrategy(sw_update_testcase.SwUpdateStrategyTestCase): """ Firmware Update Strategy Unit Tests """ def test_fw_update_strategy_worker_stages_ignore(self): """ Test the fw_update strategy add worker strategy stages: - ignore worker apply Verify: - stages not created ; fw update is only supported for worker nodes """ self.create_host('controller-0') self.create_host('controller-1') self.create_host('storage-0') self.create_host('storage-1') self.create_host('compute-0') self.create_host('compute-1') # default apply type is 'ignore' for all node types. # Only worker nodes support firmware upgrade. strategy = create_fw_update_strategy() worker_hosts = [] for host in list(self._host_table.values()): if HOST_PERSONALITY.WORKER in host.personality: worker_hosts.append(host) success, reason = strategy._add_worker_strategy_stages( sorted(worker_hosts, key=lambda host: host.name), reboot=True) assert success is True, "Strategy creation failed" apply_phase = strategy.apply_phase.as_dict() expected_results = { 'completion_percentage': 100, 'total_stages': 0 } sw_update_testcase.validate_strategy_persists(strategy) sw_update_testcase.validate_phase(apply_phase, expected_results) def test_fw_update_strategy_storage_serial_no_instances(self): """ Test the fw_update strategy on a storage system: - 2 controllers - 2 storage hosts - 4 worker hosts options - serial apply - no instances """ self.create_host('controller-0') self.create_host('controller-1') self.create_host('storage-0') self.create_host('storage-1') self.create_host('compute-0') self.create_host('compute-1') self.create_host('compute-2') self.create_host('compute-3') strategy = create_fw_update_strategy( worker_apply_type=SW_UPDATE_APPLY_TYPE.SERIAL) fw_update_host_list = [] for host in list(self._host_table.values()): if HOST_PERSONALITY.WORKER in host.personality: fw_update_host_list.append(host) strategy._add_worker_strategy_stages( sorted(fw_update_host_list, key=lambda host: host.name), reboot=True) apply_phase = strategy.apply_phase.as_dict() expected_results = { 'total_stages': 4, 'stages': [ {'name': 'fw-update-worker-hosts', 'total_steps': 6, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts'}, {'name': 'lock-hosts', 'entity_names': ['compute-0']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['compute-0']}, {'name': 'system-stabilize', 'timeout': 60} ] }, {'name': 'fw-update-worker-hosts', 'total_steps': 6, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts'}, {'name': 'lock-hosts', 'entity_names': ['compute-1']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['compute-1']}, {'name': 'system-stabilize', 'timeout': 60} ] }, {'name': 'fw-update-worker-hosts', 'total_steps': 6, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts'}, {'name': 'lock-hosts', 'entity_names': ['compute-2']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['compute-2']}, {'name': 'system-stabilize', 'timeout': 60} ] }, {'name': 'fw-update-worker-hosts', 'total_steps': 6, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts'}, {'name': 'lock-hosts', 'entity_names': ['compute-3']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['compute-3']}, {'name': 'system-stabilize', 'timeout': 60} ] } ] } sw_update_testcase.validate_strategy_persists(strategy) sw_update_testcase.validate_phase(apply_phase, expected_results) def test_fw_update_strategy_storage_parallel_no_instances(self): """ Test the fw_update strategy on a storage system: - 2 controllers - 2 storage hosts - 4 worker hosts options - parallel apply ; max 3 - no instances """ self.create_host('controller-0') self.create_host('controller-1') self.create_host('storage-0') self.create_host('storage-1') self.create_host('compute-0') self.create_host('compute-1') self.create_host('compute-2') self.create_host('compute-3') strategy = create_fw_update_strategy( worker_apply_type=SW_UPDATE_APPLY_TYPE.PARALLEL, max_parallel_worker_hosts=3) fw_update_host_list = [] for host in list(self._host_table.values()): if HOST_PERSONALITY.WORKER in host.personality: fw_update_host_list.append(host) strategy._add_worker_strategy_stages( sorted(fw_update_host_list, key=lambda host: host.name), reboot=True) apply_phase = strategy.apply_phase.as_dict() expected_results = { 'total_stages': 2, 'stages': [ {'name': 'fw-update-worker-hosts', 'total_steps': 6, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['compute-0', 'compute-1', 'compute-2']}, {'name': 'lock-hosts', 'entity_names': ['compute-0', 'compute-1', 'compute-2']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['compute-0', 'compute-1', 'compute-2']}, {'name': 'system-stabilize', 'timeout': 60} ] }, {'name': 'fw-update-worker-hosts', 'total_steps': 6, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['compute-3']}, {'name': 'lock-hosts', 'entity_names': ['compute-3']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['compute-3']}, {'name': 'system-stabilize', 'timeout': 60} ] } ] } sw_update_testcase.validate_strategy_persists(strategy) sw_update_testcase.validate_phase(apply_phase, expected_results) def test_fw_update_strategy_storage_serial_migrate(self): """ Test the fw_update strategy on a storage system: - 2 controllers - 2 storage hosts - 4 worker hosts options - serial apply - migrate 3 instances """ self.create_host('controller-0') self.create_host('controller-1') self.create_host('storage-0') self.create_host('storage-1') self.create_host('compute-0') self.create_host('compute-1') self.create_host('compute-2') self.create_host('compute-3') self.create_instance('small', "test_instance_0", 'compute-0') self.create_instance('small', "test_instance_1", 'compute-1') self.create_instance('small', "test_instance_2", 'compute-3') strategy = create_fw_update_strategy( worker_apply_type=SW_UPDATE_APPLY_TYPE.SERIAL, default_instance_action=SW_UPDATE_INSTANCE_ACTION.MIGRATE) fw_update_host_list = [] for host in list(self._host_table.values()): if HOST_PERSONALITY.WORKER in host.personality: fw_update_host_list.append(host) strategy._add_worker_strategy_stages( sorted(fw_update_host_list, key=lambda host: host.name), reboot=True) apply_phase = strategy.apply_phase.as_dict() expected_results = { 'total_stages': 4, 'stages': [ {'name': 'fw-update-worker-hosts', 'total_steps': 6, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['compute-2']}, {'name': 'lock-hosts', 'entity_names': ['compute-2']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['compute-2']}, {'name': 'system-stabilize', 'timeout': 60} ] }, {'name': 'fw-update-worker-hosts', 'total_steps': 7, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['compute-0']}, {'name': 'migrate-instances', 'entity_names': ['test_instance_0']}, {'name': 'lock-hosts', 'entity_names': ['compute-0']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['compute-0']}, {'name': 'system-stabilize', 'timeout': 60} ] }, {'name': 'fw-update-worker-hosts', 'total_steps': 7, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['compute-1']}, {'name': 'migrate-instances', 'entity_names': ['test_instance_1']}, {'name': 'lock-hosts', 'entity_names': ['compute-1']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['compute-1']}, {'name': 'system-stabilize', 'timeout': 60} ] }, {'name': 'fw-update-worker-hosts', 'total_steps': 7, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['compute-3']}, {'name': 'migrate-instances', 'entity_names': ['test_instance_2']}, {'name': 'lock-hosts', 'entity_names': ['compute-3']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['compute-3']}, {'name': 'system-stabilize', 'timeout': 60}, ] } ] } sw_update_testcase.validate_strategy_persists(strategy) sw_update_testcase.validate_phase(apply_phase, expected_results) def test_fw_update_strategy_storage_parallel_migrate(self): """ Test the fw_update strategy on a storage system: - 2 controllers - 2 storage hosts - 4 worker hosts options - parallel apply ; max 4 - migrate 4 instances """ self.create_host('controller-0') self.create_host('controller-1') self.create_host('storage-0') self.create_host('storage-1') self.create_host('compute-0') self.create_host('compute-1') self.create_host('compute-2') self.create_host('compute-3') self.create_host('compute-4') self.create_host('compute-5') self.create_instance('small', "test_instance_1", 'compute-1') self.create_instance('small', "test_instance_2", 'compute-2') self.create_instance('small', "test_instance_3", 'compute-3') self.create_instance('small', "test_instance_4", 'compute-4') strategy = create_fw_update_strategy( worker_apply_type=SW_UPDATE_APPLY_TYPE.PARALLEL, default_instance_action=SW_UPDATE_INSTANCE_ACTION.MIGRATE, max_parallel_worker_hosts=4) fw_update_host_list = [] for host in list(self._host_table.values()): if HOST_PERSONALITY.WORKER in host.personality: fw_update_host_list.append(host) strategy._add_worker_strategy_stages( sorted(fw_update_host_list, key=lambda host: host.name), reboot=True) apply_phase = strategy.apply_phase.as_dict() expected_results = { 'total_stages': 2, 'stages': [ {'name': 'fw-update-worker-hosts', 'total_steps': 6, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['compute-0', 'compute-5']}, {'name': 'lock-hosts', 'entity_names': ['compute-0', 'compute-5']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['compute-0', 'compute-5']}, {'name': 'system-stabilize', 'timeout': 60} ] }, {'name': 'fw-update-worker-hosts', 'total_steps': 8, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['compute-1', 'compute-2', 'compute-3', 'compute-4']}, {'name': 'disable-host-services'}, {'name': 'migrate-instances', 'entity_names': ['test_instance_1', 'test_instance_2', 'test_instance_3', 'test_instance_4']}, {'name': 'lock-hosts', 'entity_names': ['compute-1', 'compute-2', 'compute-3', 'compute-4']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['compute-1', 'compute-2', 'compute-3', 'compute-4']}, {'name': 'system-stabilize', 'timeout': 60} ] } ] } sw_update_testcase.validate_strategy_persists(strategy) sw_update_testcase.validate_phase(apply_phase, expected_results) def test_fw_update_strategy_standard_serial_stop_start(self): """ Test the fw_update strategy on a storage system: - 2 controllers - 2 storage hosts - 4 worker hosts options - serial apply - stop start 4 instances """ self.create_host('controller-0') self.create_host('controller-1') self.create_host('compute-0') self.create_host('compute-1') self.create_host('compute-2') self.create_host('compute-3') self.create_host('compute-4') self.create_host('compute-5') self.create_host('compute-6') self.create_host('compute-7') self.create_instance('small', "test_instance_0", 'compute-0') self.create_instance('small', "test_instance_1", 'compute-2') self.create_instance('small', "test_instance_2", 'compute-4') self.create_instance('small', "test_instance_3", 'compute-6') strategy = create_fw_update_strategy( worker_apply_type=SW_UPDATE_APPLY_TYPE.SERIAL, default_instance_action=SW_UPDATE_INSTANCE_ACTION.STOP_START) fw_update_host_list = [] for host in list(self._host_table.values()): if HOST_PERSONALITY.WORKER in host.personality: fw_update_host_list.append(host) strategy._add_worker_strategy_stages( sorted(fw_update_host_list, key=lambda host: host.name), reboot=True) apply_phase = strategy.apply_phase.as_dict() expected_results = { 'total_stages': 8, 'stages': [ {'name': 'fw-update-worker-hosts', 'total_steps': 6, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['compute-1']}, {'name': 'lock-hosts', 'entity_names': ['compute-1']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['compute-1']}, {'name': 'system-stabilize', 'timeout': 60} ] }, {'name': 'fw-update-worker-hosts', 'total_steps': 6, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['compute-3']}, {'name': 'lock-hosts', 'entity_names': ['compute-3']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['compute-3']}, {'name': 'system-stabilize', 'timeout': 60} ] }, {'name': 'fw-update-worker-hosts', 'total_steps': 6, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['compute-5']}, {'name': 'lock-hosts', 'entity_names': ['compute-5']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['compute-5']}, {'name': 'system-stabilize', 'timeout': 60} ] }, {'name': 'fw-update-worker-hosts', 'total_steps': 6, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['compute-7']}, {'name': 'lock-hosts', 'entity_names': ['compute-7']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['compute-7']}, {'name': 'system-stabilize', 'timeout': 60} ] }, {'name': 'fw-update-worker-hosts', 'total_steps': 8, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['compute-0']}, {'name': 'stop-instances', 'entity_names': ['test_instance_0']}, {'name': 'lock-hosts', 'entity_names': ['compute-0']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['compute-0']}, {'name': 'start-instances', 'entity_names': ['test_instance_0']}, {'name': 'system-stabilize', 'timeout': 60} ] }, {'name': 'fw-update-worker-hosts', 'total_steps': 8, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['compute-2']}, {'name': 'stop-instances', 'entity_names': ['test_instance_1']}, {'name': 'lock-hosts', 'entity_names': ['compute-2']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['compute-2']}, {'name': 'start-instances', 'entity_names': ['test_instance_1']}, {'name': 'system-stabilize', 'timeout': 60} ] }, {'name': 'fw-update-worker-hosts', 'total_steps': 8, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['compute-4']}, {'name': 'stop-instances', 'entity_names': ['test_instance_2']}, {'name': 'lock-hosts', 'entity_names': ['compute-4']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['compute-4']}, {'name': 'start-instances', 'entity_names': ['test_instance_2']}, {'name': 'system-stabilize', 'timeout': 60} ] }, {'name': 'fw-update-worker-hosts', 'total_steps': 8, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['compute-6']}, {'name': 'stop-instances', 'entity_names': ['test_instance_3']}, {'name': 'lock-hosts', 'entity_names': ['compute-6']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['compute-6']}, {'name': 'start-instances', 'entity_names': ['test_instance_3']}, {'name': 'system-stabilize', 'timeout': 60} ] } ] } sw_update_testcase.validate_strategy_persists(strategy) sw_update_testcase.validate_phase(apply_phase, expected_results) def test_fw_update_strategy_standard_parallel_stop_start(self): """ Test the fw_update strategy on a standard system: - 2 controllers - 8 worker hosts options - parallel apply ; max 10 - stop start 8 instances """ self.create_host('controller-0') self.create_host('controller-1') self.create_host('compute-0') self.create_host('compute-1') self.create_host('compute-2') self.create_host('compute-3') self.create_host('compute-4') self.create_host('compute-5') self.create_host('compute-6') self.create_host('compute-7') self.create_instance('small', "test_instance_0", 'compute-0') self.create_instance('small', "test_instance_1", 'compute-1') self.create_instance('small', "test_instance_2", 'compute-2') self.create_instance('small', "test_instance_3", 'compute-3') self.create_instance('small', "test_instance_4", 'compute-4') self.create_instance('small', "test_instance_5", 'compute-5') self.create_instance('small', "test_instance_6", 'compute-6') self.create_instance('small', "test_instance_7", 'compute-7') strategy = create_fw_update_strategy( worker_apply_type=SW_UPDATE_APPLY_TYPE.PARALLEL, default_instance_action=SW_UPDATE_INSTANCE_ACTION.STOP_START, max_parallel_worker_hosts=10) fw_update_host_list = [] for host in list(self._host_table.values()): if HOST_PERSONALITY.WORKER in host.personality: fw_update_host_list.append(host) strategy._add_worker_strategy_stages( sorted(fw_update_host_list, key=lambda host: host.name), reboot=True) apply_phase = strategy.apply_phase.as_dict() expected_results = { 'total_stages': 1, 'stages': [ {'name': 'fw-update-worker-hosts', 'total_steps': 8, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['compute-0', 'compute-1', 'compute-2', 'compute-3', 'compute-4', 'compute-5', 'compute-6', 'compute-7']}, {'name': 'stop-instances', 'entity_names': ['test_instance_0', 'test_instance_1', 'test_instance_2', 'test_instance_3', 'test_instance_4', 'test_instance_5', 'test_instance_6', 'test_instance_7']}, {'name': 'lock-hosts', 'entity_names': ['compute-0', 'compute-1', 'compute-2', 'compute-3', 'compute-4', 'compute-5', 'compute-6', 'compute-7']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['compute-0', 'compute-1', 'compute-2', 'compute-3', 'compute-4', 'compute-5', 'compute-6', 'compute-7']}, {'name': 'start-instances', 'entity_names': ['test_instance_0', 'test_instance_1', 'test_instance_2', 'test_instance_3', 'test_instance_4', 'test_instance_5', 'test_instance_6', 'test_instance_7']}, {'name': 'system-stabilize', 'timeout': 60}, ] } ] } sw_update_testcase.validate_strategy_persists(strategy) sw_update_testcase.validate_phase(apply_phase, expected_results) def test_fw_update_strategy_standard_parallel_migrate_host_aggregate(self): """ Test the fw_update strategy on a storage system: - 2 controllers - 10 worker hosts options - parallel apply ; max 10 - migrate instances ; 1 per host ; 1 locked - hosts with no instances updated first - host aggregate limits enforced """ self.create_host('controller-0') self.create_host('controller-1') self.create_host('compute-0') self.create_host('compute-1') self.create_host('compute-2') self.create_host('compute-3') self.create_host('compute-4') self.create_host('compute-5') self.create_host('compute-6') self.create_host('compute-7') self.create_host('compute-8') self.create_host('compute-9') self.create_host_aggregate('aggregate-1', ['compute-0', 'compute-2', 'compute-4', 'compute-6']) self.create_host_aggregate('aggregate-2', ['compute-1', 'compute-3', 'compute-5', 'compute-7']) self.create_instance('small', "test_instance_0", 'compute-0') self.create_instance('small', "test_instance_1", 'compute-1') self.create_instance('small', "test_instance_2", 'compute-2') self.create_instance('small', "test_instance_3", 'compute-3', admin_state=nfvi.objects.v1.INSTANCE_ADMIN_STATE.LOCKED) self.create_instance('small', "test_instance_4", 'compute-4') self.create_instance('small', "test_instance_5", 'compute-5') self.create_instance('small', "test_instance_6", 'compute-6') self.create_instance('small', "test_instance_7", 'compute-7') strategy = create_fw_update_strategy( worker_apply_type=SW_UPDATE_APPLY_TYPE.PARALLEL, default_instance_action=SW_UPDATE_INSTANCE_ACTION.MIGRATE, max_parallel_worker_hosts=10) fw_update_host_list = [] for host in list(self._host_table.values()): if HOST_PERSONALITY.WORKER in host.personality: fw_update_host_list.append(host) strategy._add_worker_strategy_stages( sorted(fw_update_host_list, key=lambda host: host.name), reboot=True) apply_phase = strategy.apply_phase.as_dict() expected_results = { 'total_stages': 3, 'stages': [ {'name': 'fw-update-worker-hosts', 'total_steps': 6, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['compute-8', 'compute-9']}, {'name': 'lock-hosts', 'entity_names': ['compute-8', 'compute-9']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['compute-8', 'compute-9']}, {'name': 'system-stabilize', 'timeout': 60} ] }, {'name': 'fw-update-worker-hosts', 'total_steps': 8, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['compute-0', 'compute-1', 'compute-2', 'compute-3']}, {'name': 'disable-host-services', 'entity_names': ['compute-0', 'compute-1', 'compute-2', 'compute-3']}, {'name': 'migrate-instances', 'entity_names': ['test_instance_0', 'test_instance_1', 'test_instance_2']}, {'name': 'lock-hosts', 'entity_names': ['compute-0', 'compute-1', 'compute-2', 'compute-3']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['compute-0', 'compute-1', 'compute-2', 'compute-3']}, {'name': 'system-stabilize', 'timeout': 60} ] }, {'name': 'fw-update-worker-hosts', 'total_steps': 8, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['compute-4', 'compute-5', 'compute-6', 'compute-7']}, {'name': 'disable-host-services', 'entity_names': ['compute-4', 'compute-5', 'compute-6', 'compute-7']}, {'name': 'migrate-instances', 'entity_names': ['test_instance_4', 'test_instance_5', 'test_instance_6', 'test_instance_7']}, {'name': 'lock-hosts', 'entity_names': ['compute-4', 'compute-5', 'compute-6', 'compute-7']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['compute-4', 'compute-5', 'compute-6', 'compute-7']}, {'name': 'system-stabilize', 'timeout': 60} ] } ] } sw_update_testcase.validate_strategy_persists(strategy) sw_update_testcase.validate_phase(apply_phase, expected_results) def test_fw_update_strategy_standard_parallel_stop_start_host_aggregate(self): """ Test the fw_update strategy on a standard system: - 2 controllers - 10 worker hosts options - parallel apply ; max 4 - stop start instances ; 1 per host ; 1 locked - locked instances or hosts with no instances updated first - 2x4 host aggregate groups - hosts with locked instances or none at all are grouped """ self.create_host('controller-0') self.create_host('controller-1') self.create_host('compute-0') self.create_host('compute-1') self.create_host('compute-2') self.create_host('compute-3') self.create_host('compute-4') self.create_host('compute-5') self.create_host('compute-6') self.create_host('compute-7') self.create_host('compute-8') self.create_host('compute-9') self.create_host_aggregate('aggregate-1', ['compute-0', 'compute-2', 'compute-4', 'compute-6']) self.create_host_aggregate('aggregate-2', ['compute-1', 'compute-3', 'compute-5', 'compute-7']) self.create_instance('small', "test_instance_0", 'compute-0', admin_state=nfvi.objects.v1.INSTANCE_ADMIN_STATE.LOCKED) self.create_instance('small', "test_instance_1", 'compute-1', admin_state=nfvi.objects.v1.INSTANCE_ADMIN_STATE.LOCKED) self.create_instance('small', "test_instance_2", 'compute-2') self.create_instance('small', "test_instance_3", 'compute-3') self.create_instance('small', "test_instance_4", 'compute-4') self.create_instance('small', "test_instance_5", 'compute-5') self.create_instance('small', "test_instance_6", 'compute-6') self.create_instance('small', "test_instance_7", 'compute-7') self.create_instance('small', "test_instance_8", 'compute-8') self.create_instance('small', "test_instance_9", 'compute-9') strategy = create_fw_update_strategy( worker_apply_type=SW_UPDATE_APPLY_TYPE.PARALLEL, default_instance_action=SW_UPDATE_INSTANCE_ACTION.STOP_START, max_parallel_worker_hosts=4) fw_update_host_list = [] for host in list(self._host_table.values()): if HOST_PERSONALITY.WORKER in host.personality: fw_update_host_list.append(host) strategy._add_worker_strategy_stages( sorted(fw_update_host_list, key=lambda host: host.name), reboot=True) apply_phase = strategy.apply_phase.as_dict() expected_results = { 'total_stages': 4, 'stages': [ {'name': 'fw-update-worker-hosts', 'total_steps': 8, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['compute-0', 'compute-1', 'compute-8', 'compute-9']}, {'name': 'stop-instances', 'entity_names': ['test_instance_8', 'test_instance_9']}, {'name': 'lock-hosts', 'entity_names': ['compute-0', 'compute-1', 'compute-8', 'compute-9']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['compute-0', 'compute-1', 'compute-8', 'compute-9']}, {'name': 'start-instances', 'entity_names': ['test_instance_8', 'test_instance_9']}, {'name': 'system-stabilize', 'timeout': 60}, ] }, {'name': 'fw-update-worker-hosts', 'total_steps': 8, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['compute-2', 'compute-3']}, {'name': 'stop-instances', 'entity_names': ['test_instance_2', 'test_instance_3']}, {'name': 'lock-hosts', 'entity_names': ['compute-2', 'compute-3']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['compute-2', 'compute-3']}, {'name': 'start-instances', 'entity_names': ['test_instance_2', 'test_instance_3']}, {'name': 'system-stabilize', 'timeout': 60}, ] }, {'name': 'fw-update-worker-hosts', 'total_steps': 8, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['compute-4', 'compute-5']}, {'name': 'stop-instances', 'entity_names': ['test_instance_4', 'test_instance_5']}, {'name': 'lock-hosts', 'entity_names': ['compute-4', 'compute-5']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['compute-4', 'compute-5']}, {'name': 'start-instances', 'entity_names': ['test_instance_4', 'test_instance_5']}, {'name': 'system-stabilize', 'timeout': 60}, ] }, {'name': 'fw-update-worker-hosts', 'total_steps': 8, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['compute-6', 'compute-7']}, {'name': 'stop-instances', 'entity_names': ['test_instance_6', 'test_instance_7']}, {'name': 'lock-hosts', 'entity_names': ['compute-6', 'compute-7']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['compute-6', 'compute-7']}, {'name': 'start-instances', 'entity_names': ['test_instance_6', 'test_instance_7']}, {'name': 'system-stabilize', 'timeout': 60}, ] } ] } sw_update_testcase.validate_strategy_persists(strategy) sw_update_testcase.validate_phase(apply_phase, expected_results) def test_fw_update_strategy_standard_parallel_migrate_overlap_host_aggregate(self): """ Test the fw_update strategy on a standard system: - 2 controllers - 10 worker hosts options - parallel apply ; max 2 - migrate 10 instances ; 1 per worker host - locked instances or hosts with no instances updated first - 3 host aggregate groups with overlap ; 4, 3, 10 - hosts with locked instances or none at all are grouped """ self.create_host('controller-0') self.create_host('controller-1') self.create_host('compute-0') self.create_host('compute-1') self.create_host('compute-2') self.create_host('compute-3') self.create_host('compute-4') self.create_host('compute-5') self.create_host('compute-6') self.create_host('compute-7') self.create_host('compute-8') self.create_host('compute-9') self.create_host_aggregate('aggregate-1', ['compute-0', 'compute-1', 'compute-2', 'compute-3', 'compute-4']) self.create_host_aggregate('aggregate-2', ['compute-5', 'compute-6', 'compute-7', 'compute-8', 'compute-9']) self.create_host_aggregate('aggregate-3', ['compute-0', 'compute-1', 'compute-2', 'compute-3', 'compute-4', 'compute-5', 'compute-6', 'compute-7', 'compute-8', 'compute-9']) self.create_instance('small', "test_instance_0", 'compute-0') self.create_instance('small', "test_instance_2", 'compute-2') self.create_instance('small', "test_instance_3", 'compute-3') self.create_instance('small', "test_instance_4", 'compute-4') self.create_instance('small', "test_instance_6", 'compute-6') self.create_instance('small', "test_instance_7", 'compute-7') self.create_instance('small', "test_instance_8", 'compute-8') self.create_instance('small', "test_instance_9", 'compute-9') strategy = create_fw_update_strategy( worker_apply_type=SW_UPDATE_APPLY_TYPE.PARALLEL, default_instance_action=SW_UPDATE_INSTANCE_ACTION.MIGRATE, max_parallel_worker_hosts=2) fw_update_host_list = [] for host in list(self._host_table.values()): if HOST_PERSONALITY.WORKER in host.personality: fw_update_host_list.append(host) strategy._add_worker_strategy_stages( sorted(fw_update_host_list, key=lambda host: host.name), reboot=True) apply_phase = strategy.apply_phase.as_dict() expected_results = { 'total_stages': 5, 'stages': [ {'name': 'fw-update-worker-hosts', 'total_steps': 6, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['compute-1', 'compute-5']}, {'name': 'lock-hosts', 'entity_names': ['compute-1', 'compute-5']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['compute-1', 'compute-5']}, {'name': 'system-stabilize', 'timeout': 60} ] }, {'name': 'fw-update-worker-hosts', 'total_steps': 8, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['compute-0', 'compute-6']}, {'name': 'disable-host-services'}, {'name': 'migrate-instances', 'entity_names': ['test_instance_0', 'test_instance_6']}, {'name': 'lock-hosts', 'entity_names': ['compute-0', 'compute-6']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['compute-0', 'compute-6']}, {'name': 'system-stabilize', 'timeout': 60} ] }, {'name': 'fw-update-worker-hosts', 'total_steps': 8, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['compute-2', 'compute-7']}, {'name': 'disable-host-services'}, {'name': 'migrate-instances', 'entity_names': ['test_instance_2', 'test_instance_7']}, {'name': 'lock-hosts', 'entity_names': ['compute-2', 'compute-7']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['compute-2', 'compute-7']}, {'name': 'system-stabilize', 'timeout': 60} ] }, {'name': 'fw-update-worker-hosts', 'total_steps': 8, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['compute-3', 'compute-8']}, {'name': 'disable-host-services'}, {'name': 'migrate-instances', 'entity_names': ['test_instance_3', 'test_instance_8']}, {'name': 'lock-hosts', 'entity_names': ['compute-3', 'compute-8']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['compute-3', 'compute-8']}, {'name': 'system-stabilize', 'timeout': 60} ] }, {'name': 'fw-update-worker-hosts', 'total_steps': 8, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['compute-4', 'compute-9']}, {'name': 'disable-host-services'}, {'name': 'migrate-instances', 'entity_names': ['test_instance_4', 'test_instance_9']}, {'name': 'lock-hosts', 'entity_names': ['compute-4', 'compute-9']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['compute-4', 'compute-9']}, {'name': 'system-stabilize', 'timeout': 60} ] } ] } sw_update_testcase.validate_strategy_persists(strategy) sw_update_testcase.validate_phase(apply_phase, expected_results) def test_fw_update_strategy_aio_sx(self): """ Test the fw_update strategy on an All-In-One system: - 1 all-in-one controller options - serial apply - no instances """ self.create_host('controller-0', aio=True) strategy = create_fw_update_strategy( worker_apply_type=SW_UPDATE_APPLY_TYPE.SERIAL, single_controller=True) fw_update_host_list = [] for host in list(self._host_table.values()): if HOST_PERSONALITY.WORKER in host.personality: fw_update_host_list.append(host) strategy._add_worker_strategy_stages( sorted(fw_update_host_list, key=lambda host: host.name), reboot=True) apply_phase = strategy.apply_phase.as_dict() expected_results = { 'total_stages': 1, 'stages': [ {'name': 'fw-update-worker-hosts', 'total_steps': 6, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['controller-0']}, {'name': 'lock-hosts', 'entity_names': ['controller-0']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['controller-0']}, {'name': 'system-stabilize', 'timeout': 60}, ] } ] } sw_update_testcase.validate_strategy_persists(strategy) sw_update_testcase.validate_phase(apply_phase, expected_results) def test_fw_update_strategy_aio_sx_stop_start(self): """ Test the fw_update strategy on an All-In-One system: - 1 all-in-one controller options - serial apply - stop start 1 instance """ self.create_host('controller-0', aio=True) self.create_instance('small', "test_instance_0", 'controller-0') strategy = create_fw_update_strategy( worker_apply_type=SW_UPDATE_APPLY_TYPE.SERIAL, default_instance_action=SW_UPDATE_INSTANCE_ACTION.STOP_START, single_controller=True) fw_update_host_list = [] for host in list(self._host_table.values()): if HOST_PERSONALITY.WORKER in host.personality: fw_update_host_list.append(host) strategy._add_worker_strategy_stages( sorted(fw_update_host_list, key=lambda host: host.name), reboot=True) apply_phase = strategy.apply_phase.as_dict() expected_results = { 'total_stages': 1, 'stages': [ {'name': 'fw-update-worker-hosts', 'total_steps': 8, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['controller-0']}, {'name': 'stop-instances', 'entity_names': ['test_instance_0']}, {'name': 'lock-hosts', 'entity_names': ['controller-0']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['controller-0']}, {'name': 'start-instances', 'entity_names': ['test_instance_0']}, {'name': 'system-stabilize', 'timeout': 60}, ] } ] } sw_update_testcase.validate_strategy_persists(strategy) sw_update_testcase.validate_phase(apply_phase, expected_results) def test_fw_update_strategy_aio_sx_migrate_reject(self): """ Test the fw_update strategy on an All-In-One system: - 1 all-in-one controller options - serial apply - migrate instances ; not possible in sx """ self.create_host('controller-0', aio=True) self.create_instance('small', "test_instance_0", 'controller-0') self.create_instance('small', "test_instance_1", 'controller-0') strategy = create_fw_update_strategy( worker_apply_type=SW_UPDATE_APPLY_TYPE.SERIAL, default_instance_action=SW_UPDATE_INSTANCE_ACTION.MIGRATE, single_controller=True) fw_update_host_list = [] for host in list(self._host_table.values()): if HOST_PERSONALITY.WORKER in host.personality: fw_update_host_list.append(host) success, reason = strategy._add_worker_strategy_stages( sorted(fw_update_host_list, key=lambda host: host.name), reboot=True) assert success is False, "Strategy creation failed" apply_phase = strategy.apply_phase.as_dict() expected_results = { 'completion_percentage': 100, 'total_stages': 0 } sw_update_testcase.validate_strategy_persists(strategy) sw_update_testcase.validate_phase(apply_phase, expected_results) def test_fw_update_strategy_aio_sx_serial_migrate_no_openstack(self): """ Test the sw_patch strategy add worker strategy stages: - 1 all-in-one controller host - no openstack - serial apply - migrate instance action with no instance """ self.create_host('controller-0', aio=True, openstack_installed=False) strategy = create_fw_update_strategy( worker_apply_type=SW_UPDATE_APPLY_TYPE.SERIAL, default_instance_action=SW_UPDATE_INSTANCE_ACTION.MIGRATE, single_controller=True) fw_update_host_list = [] for host in list(self._host_table.values()): if HOST_PERSONALITY.WORKER in host.personality: fw_update_host_list.append(host) strategy._add_worker_strategy_stages( sorted(fw_update_host_list, key=lambda host: host.name), reboot=True) apply_phase = strategy.apply_phase.as_dict() expected_results = { 'total_stages': 1, 'stages': [ {'name': 'fw-update-worker-hosts', 'total_steps': 6, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['controller-0']}, {'name': 'lock-hosts', 'entity_names': ['controller-0']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['controller-0']}, {'name': 'system-stabilize', 'timeout': 60}, ] }, ] } sw_update_testcase.validate_strategy_persists(strategy) sw_update_testcase.validate_phase(apply_phase, expected_results) def test_fw_update_strategy_aio_dx_no_instances(self): """ Test the fw_update strategy on an All-In-One system: - 2 all-in-one controllers options - serial apply - no instances """ self.create_host('controller-0', aio=True) self.create_host('controller-1', aio=True) strategy = create_fw_update_strategy( worker_apply_type=SW_UPDATE_APPLY_TYPE.SERIAL) fw_update_host_list = [] for host in list(self._host_table.values()): if HOST_PERSONALITY.WORKER in host.personality: fw_update_host_list.append(host) strategy._add_worker_strategy_stages( sorted(fw_update_host_list, key=lambda host: host.name), reboot=True) apply_phase = strategy.apply_phase.as_dict() expected_results = { 'total_stages': 2, 'stages': [ {'name': 'fw-update-worker-hosts', 'total_steps': 7, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['controller-0']}, {'name': 'swact-hosts', 'entity_names': ['controller-0']}, {'name': 'lock-hosts', 'entity_names': ['controller-0']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['controller-0']}, {'name': 'system-stabilize', 'timeout': 60}, ] }, {'name': 'fw-update-worker-hosts', 'total_steps': 7, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['controller-1']}, {'name': 'swact-hosts', 'entity_names': ['controller-1']}, {'name': 'lock-hosts', 'entity_names': ['controller-1']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['controller-1']}, {'name': 'system-stabilize', 'timeout': 60}, ] } ] } sw_update_testcase.validate_strategy_persists(strategy) sw_update_testcase.validate_phase(apply_phase, expected_results) def test_fw_update_strategy_aio_dx_migrate_instance(self): """ Test the fw_update strategy on an All-In-One system: - 2 all-in-one controllers options - serial apply - migrate 1 instance """ self.create_host('controller-0', aio=True) self.create_host('controller-1', aio=True) self.create_instance('small', "test_instance_0", 'controller-0') strategy = create_fw_update_strategy( worker_apply_type=SW_UPDATE_APPLY_TYPE.SERIAL, default_instance_action=SW_UPDATE_INSTANCE_ACTION.MIGRATE, single_controller=False) fw_update_host_list = [] for host in list(self._host_table.values()): if HOST_PERSONALITY.WORKER in host.personality: fw_update_host_list.append(host) strategy._add_worker_strategy_stages( sorted(fw_update_host_list, key=lambda host: host.name), reboot=True) apply_phase = strategy.apply_phase.as_dict() expected_results = { 'total_stages': 2, 'stages': [ {'name': 'fw-update-worker-hosts', 'total_steps': 8, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['controller-0']}, {'name': 'swact-hosts', 'entity_names': ['controller-0']}, {'name': 'migrate-instances', 'entity_names': ['test_instance_0']}, {'name': 'lock-hosts', 'entity_names': ['controller-0']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['controller-0']}, {'name': 'system-stabilize', 'timeout': 60} ] }, {'name': 'fw-update-worker-hosts', 'total_steps': 7, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['controller-1']}, {'name': 'swact-hosts', 'entity_names': ['controller-1']}, {'name': 'lock-hosts', 'entity_names': ['controller-1']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['controller-1']}, {'name': 'system-stabilize', 'timeout': 60} ] } ] } sw_update_testcase.validate_strategy_persists(strategy) sw_update_testcase.validate_phase(apply_phase, expected_results) def test_fw_update_strategy_aio_dx_migrate_instances(self): """ Test the fw_update strategy on an All-In-One system: - 2 all-in-one controllers options - serial apply - migrate 2 instances which switches the controller update order """ self.create_host('controller-0', aio=True) self.create_host('controller-1', aio=True) self.create_instance('small', "test_instance_0", 'controller-0') self.create_instance('small', "test_instance_1", 'controller-1') strategy = create_fw_update_strategy( worker_apply_type=SW_UPDATE_APPLY_TYPE.SERIAL, default_instance_action=SW_UPDATE_INSTANCE_ACTION.MIGRATE, single_controller=False) fw_update_host_list = [] for host in list(self._host_table.values()): if HOST_PERSONALITY.WORKER in host.personality: fw_update_host_list.append(host) strategy._add_worker_strategy_stages( sorted(fw_update_host_list, key=lambda host: host.name), reboot=True) apply_phase = strategy.apply_phase.as_dict() expected_results = { 'total_stages': 2, 'stages': [ {'name': 'fw-update-worker-hosts', 'total_steps': 8, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['controller-0']}, {'name': 'swact-hosts', 'entity_names': ['controller-0']}, {'name': 'migrate-instances', 'entity_names': ['test_instance_0']}, {'name': 'lock-hosts', 'entity_names': ['controller-0']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['controller-0']}, {'name': 'system-stabilize', 'timeout': 60} ] }, {'name': 'fw-update-worker-hosts', 'total_steps': 8, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['controller-1']}, {'name': 'swact-hosts', 'entity_names': ['controller-1']}, {'name': 'migrate-instances', 'entity_names': ['test_instance_1']}, {'name': 'lock-hosts', 'entity_names': ['controller-1']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['controller-1']}, {'name': 'system-stabilize', 'timeout': 60} ] } ] } sw_update_testcase.validate_strategy_persists(strategy) sw_update_testcase.validate_phase(apply_phase, expected_results) def test_fw_update_strategy_aio_dx_stop_start_instance(self): """ Test the fw_update strategy on an All-In-One system: - 2 all-in-one controllers options - serial - stop start 1 instance """ self.create_host('controller-0', aio=True) self.create_host('controller-1', aio=True) self.create_instance('small', "test_instance_0", 'controller-0') strategy = create_fw_update_strategy( worker_apply_type=SW_UPDATE_APPLY_TYPE.SERIAL, default_instance_action=SW_UPDATE_INSTANCE_ACTION.STOP_START, single_controller=False) fw_update_host_list = [] for host in list(self._host_table.values()): if HOST_PERSONALITY.WORKER in host.personality: fw_update_host_list.append(host) strategy._add_worker_strategy_stages( sorted(fw_update_host_list, key=lambda host: host.name), reboot=True) # assert success is False, "Strategy creation failed" apply_phase = strategy.apply_phase.as_dict() expected_results = { 'total_stages': 2, 'stages': [ {'name': 'fw-update-worker-hosts', 'total_steps': 9, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['controller-0']}, {'name': 'swact-hosts', 'entity_names': ['controller-0']}, {'name': 'stop-instances', 'entity_names': ['test_instance_0']}, {'name': 'lock-hosts', 'entity_names': ['controller-0']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['controller-0']}, {'name': 'start-instances', 'entity_names': ['test_instance_0']}, {'name': 'system-stabilize', 'timeout': 60} ] }, {'name': 'fw-update-worker-hosts', 'total_steps': 7, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['controller-1']}, {'name': 'swact-hosts', 'entity_names': ['controller-1']}, {'name': 'lock-hosts', 'entity_names': ['controller-1']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['controller-1']}, {'name': 'system-stabilize', 'timeout': 60} ] } ] } sw_update_testcase.validate_strategy_persists(strategy) sw_update_testcase.validate_phase(apply_phase, expected_results) def test_fw_update_strategy_aio_dx_stop_start_instances(self): """ Test the fw_update strategy on an All-In-One system: - 2 all-in-one controllers options - serial - stop start instances """ self.create_host('controller-0', aio=True) self.create_host('controller-1', aio=True) self.create_instance('small', "test_instance_0", 'controller-0') self.create_instance('small', "test_instance_1", 'controller-1') strategy = create_fw_update_strategy( worker_apply_type=SW_UPDATE_APPLY_TYPE.SERIAL, default_instance_action=SW_UPDATE_INSTANCE_ACTION.STOP_START, single_controller=False) fw_update_host_list = [] for host in list(self._host_table.values()): if HOST_PERSONALITY.WORKER in host.personality: fw_update_host_list.append(host) strategy._add_worker_strategy_stages( sorted(fw_update_host_list, key=lambda host: host.name), reboot=True) apply_phase = strategy.apply_phase.as_dict() expected_results = { 'total_stages': 2, 'stages': [ {'name': 'fw-update-worker-hosts', 'total_steps': 9, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['controller-0']}, {'name': 'swact-hosts', 'entity_names': ['controller-0']}, {'name': 'stop-instances', 'entity_names': ['test_instance_0']}, {'name': 'lock-hosts', 'entity_names': ['controller-0']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['controller-0']}, {'name': 'start-instances', 'entity_names': ['test_instance_0']}, {'name': 'system-stabilize', 'timeout': 60} ] }, {'name': 'fw-update-worker-hosts', 'total_steps': 9, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['controller-1']}, {'name': 'swact-hosts', 'entity_names': ['controller-1']}, {'name': 'stop-instances', 'entity_names': ['test_instance_1']}, {'name': 'lock-hosts', 'entity_names': ['controller-1']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['controller-1']}, {'name': 'start-instances', 'entity_names': ['test_instance_1']}, {'name': 'system-stabilize', 'timeout': 60} ] } ] } sw_update_testcase.validate_strategy_persists(strategy) sw_update_testcase.validate_phase(apply_phase, expected_results) def test_fw_update_strategy_aio_dx_plus_parallel_locked_hosts(self): """ Test the fw_update strategy on an All-In-One system: - 2 all-in-one controllers - 6 computes ; 2 are locked options - parallel apply ; max 2 - no instances """ self.create_host('controller-0', aio=True) self.create_host('controller-1', aio=True) self.create_host('compute-0') self.create_host('compute-1', admin_state=nfvi.objects.v1.HOST_ADMIN_STATE.LOCKED, oper_state=nfvi.objects.v1.HOST_OPER_STATE.DISABLED, avail_status=nfvi.objects.v1.HOST_AVAIL_STATUS.ONLINE) self.create_host('compute-2') self.create_host('compute-3') self.create_host('compute-4') self.create_host('compute-5', admin_state=nfvi.objects.v1.HOST_ADMIN_STATE.LOCKED, oper_state=nfvi.objects.v1.HOST_OPER_STATE.DISABLED, avail_status=nfvi.objects.v1.HOST_AVAIL_STATUS.ONLINE) strategy = create_fw_update_strategy( worker_apply_type=SW_UPDATE_APPLY_TYPE.PARALLEL, max_parallel_worker_hosts=2) fw_update_worker_host_list = [] for host in list(self._host_table.values()): if host._nfvi_host.admin_state == nfvi.objects.v1.HOST_ADMIN_STATE.UNLOCKED: if HOST_PERSONALITY.WORKER in host.personality: fw_update_worker_host_list.append(host) strategy._add_worker_strategy_stages( sorted(fw_update_worker_host_list, key=lambda host: host.name), reboot=True) apply_phase = strategy.apply_phase.as_dict() expected_results = { 'total_stages': 4, 'stages': [ {'name': 'fw-update-worker-hosts', 'total_steps': 7, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['controller-0']}, {'name': 'swact-hosts', 'entity_names': ['controller-0']}, {'name': 'lock-hosts', 'entity_names': ['controller-0']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['controller-0']}, {'name': 'system-stabilize', 'timeout': 60} ] }, {'name': 'fw-update-worker-hosts', 'total_steps': 7, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['controller-1']}, {'name': 'swact-hosts', 'entity_names': ['controller-1']}, {'name': 'lock-hosts', 'entity_names': ['controller-1']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['controller-1']}, {'name': 'system-stabilize', 'timeout': 60}, ] }, {'name': 'fw-update-worker-hosts', 'total_steps': 6, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['compute-0', 'compute-2']}, {'name': 'lock-hosts', 'entity_names': ['compute-0', 'compute-2']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['compute-0', 'compute-2']}, {'name': 'system-stabilize', 'timeout': 60}, ] }, {'name': 'fw-update-worker-hosts', 'total_steps': 6, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['compute-3', 'compute-4']}, {'name': 'lock-hosts', 'entity_names': ['compute-3', 'compute-4']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['compute-3', 'compute-4']}, {'name': 'system-stabilize', 'timeout': 60} ] } ] } sw_update_testcase.validate_strategy_persists(strategy) sw_update_testcase.validate_phase(apply_phase, expected_results) def test_fw_update_strategy_aio_plus_parallel_migrate_anti_affinity(self): """ Test the fw_update strategy on an All-In-One Plus system: - 2 all-in-one controllers - 6 worker hosts options - parallel apply ; max 2 - migrate instances with 2 anti affinity groups """ self.create_host('controller-0', aio=True) self.create_host('controller-1', aio=True) self.create_host('compute-0') self.create_host('compute-1') self.create_host('compute-2') self.create_host('compute-3') self.create_host('compute-4') self.create_host('compute-5') self.create_instance('small', "test_instance_0", 'compute-0') self.create_instance('small', "test_instance_1", 'compute-1') self.create_instance('small', "test_instance_2", 'compute-2') self.create_instance('small', "test_instance_3", 'compute-3') self.create_instance('small', "test_instance_4", 'compute-4') self.create_instance('small', "test_instance_5", 'compute-5') self.create_instance_group('instance_group_1', ['test_instance_0', 'test_instance_1'], [nfvi.objects.v1.INSTANCE_GROUP_POLICY.ANTI_AFFINITY]) self.create_instance_group('instance_group_2', ['test_instance_3', 'test_instance_5'], [nfvi.objects.v1.INSTANCE_GROUP_POLICY.ANTI_AFFINITY]) strategy = create_fw_update_strategy( worker_apply_type=SW_UPDATE_APPLY_TYPE.PARALLEL, default_instance_action=SW_UPDATE_INSTANCE_ACTION.MIGRATE, max_parallel_worker_hosts=2) fw_update_worker_host_list = [] for host in list(self._host_table.values()): if host._nfvi_host.admin_state == nfvi.objects.v1.HOST_ADMIN_STATE.UNLOCKED: if HOST_PERSONALITY.WORKER in host.personality: fw_update_worker_host_list.append(host) strategy._add_worker_strategy_stages( sorted(fw_update_worker_host_list, key=lambda host: host.name), reboot=True) apply_phase = strategy.apply_phase.as_dict() expected_results = { 'total_stages': 5, 'stages': [ {'name': 'fw-update-worker-hosts', 'total_steps': 7, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['controller-0']}, {'name': 'swact-hosts', 'entity_names': ['controller-0']}, {'name': 'lock-hosts', 'entity_names': ['controller-0']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['controller-0']}, {'name': 'system-stabilize', 'timeout': 60} ] }, {'name': 'fw-update-worker-hosts', 'total_steps': 7, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['controller-1']}, {'name': 'swact-hosts', 'entity_names': ['controller-1']}, {'name': 'lock-hosts', 'entity_names': ['controller-1']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['controller-1']}, {'name': 'system-stabilize', 'timeout': 60} ] }, {'name': 'fw-update-worker-hosts', 'total_steps': 8, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['compute-0', 'compute-2']}, {'name': 'disable-host-services'}, {'name': 'migrate-instances', 'entity_names': ['test_instance_0', 'test_instance_2']}, {'name': 'lock-hosts', 'entity_names': ['compute-0', 'compute-2']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['compute-0', 'compute-2']}, {'name': 'system-stabilize', 'timeout': 60} ] }, {'name': 'fw-update-worker-hosts', 'total_steps': 8, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['compute-1', 'compute-3']}, {'name': 'disable-host-services'}, {'name': 'migrate-instances', 'entity_names': ['test_instance_1', 'test_instance_3']}, {'name': 'lock-hosts', 'entity_names': ['compute-1', 'compute-3']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['compute-1', 'compute-3']}, {'name': 'system-stabilize', 'timeout': 60} ] }, {'name': 'fw-update-worker-hosts', 'total_steps': 8, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['compute-4', 'compute-5']}, {'name': 'disable-host-services'}, {'name': 'migrate-instances', 'entity_names': ['test_instance_4', 'test_instance_5']}, {'name': 'lock-hosts', 'entity_names': ['compute-4', 'compute-5']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['compute-4', 'compute-5']}, {'name': 'system-stabilize', 'timeout': 60} ] } ] } sw_update_testcase.validate_strategy_persists(strategy) sw_update_testcase.validate_phase(apply_phase, expected_results) def test_fw_update_strategy_aio_plus_parallel_stop_start(self): """ Test the fw_update strategy on an All-In-One Plus system: - 2 all-in-one controllers - 8 worker hosts options - parallel apply ; max 10 - stop start 8 instances """ self.create_host('controller-0', aio=True) self.create_host('controller-1', aio=True) self.create_host('compute-0') self.create_host('compute-1') self.create_host('compute-2') self.create_host('compute-3') self.create_host('compute-4') self.create_host('compute-5') self.create_host('compute-6') self.create_host('compute-7') self.create_instance('small', "test_instance_0", 'compute-0') self.create_instance('small', "test_instance_1", 'compute-1') self.create_instance('small', "test_instance_2", 'compute-2') self.create_instance('small', "test_instance_3", 'compute-3') self.create_instance('small', "test_instance_4", 'compute-4') self.create_instance('small', "test_instance_5", 'compute-5') self.create_instance('small', "test_instance_6", 'compute-6') self.create_instance('small', "test_instance_7", 'compute-7') strategy = create_fw_update_strategy( worker_apply_type=SW_UPDATE_APPLY_TYPE.PARALLEL, default_instance_action=SW_UPDATE_INSTANCE_ACTION.STOP_START, max_parallel_worker_hosts=10) fw_update_controller_host_list = [] fw_update_worker_host_list = [] for host in list(self._host_table.values()): if host._nfvi_host.admin_state == nfvi.objects.v1.HOST_ADMIN_STATE.UNLOCKED: if HOST_PERSONALITY.WORKER in host.personality: fw_update_worker_host_list.append(host) strategy._add_worker_strategy_stages( sorted(fw_update_worker_host_list, key=lambda host: host.name), reboot=True) apply_phase = strategy.apply_phase.as_dict() expected_results = { 'total_stages': 3, 'stages': [ {'name': 'fw-update-worker-hosts', 'total_steps': 7, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['controller-0']}, {'name': 'swact-hosts', 'entity_names': ['controller-0']}, {'name': 'lock-hosts', 'entity_names': ['controller-0']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['controller-0']}, {'name': 'system-stabilize', 'timeout': 60} ] }, {'name': 'fw-update-worker-hosts', 'total_steps': 7, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['controller-1']}, {'name': 'swact-hosts', 'entity_names': ['controller-1']}, {'name': 'lock-hosts', 'entity_names': ['controller-1']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['controller-1']}, {'name': 'system-stabilize', 'timeout': 60} ] }, {'name': 'fw-update-worker-hosts', 'total_steps': 8, 'steps': [ {'name': 'query-alarms'}, {'name': 'fw-update-hosts', 'entity_names': ['compute-0', 'compute-1', 'compute-2', 'compute-3', 'compute-4', 'compute-5', 'compute-6', 'compute-7']}, {'name': 'stop-instances', 'entity_names': ['test_instance_0', 'test_instance_1', 'test_instance_2', 'test_instance_3', 'test_instance_4', 'test_instance_5', 'test_instance_6', 'test_instance_7']}, {'name': 'lock-hosts', 'entity_names': ['compute-0', 'compute-1', 'compute-2', 'compute-3', 'compute-4', 'compute-5', 'compute-6', 'compute-7']}, {'name': 'system-stabilize', 'timeout': 15}, {'name': 'unlock-hosts', 'entity_names': ['compute-0', 'compute-1', 'compute-2', 'compute-3', 'compute-4', 'compute-5', 'compute-6', 'compute-7']}, {'name': 'start-instances', 'entity_names': ['test_instance_0', 'test_instance_1', 'test_instance_2', 'test_instance_3', 'test_instance_4', 'test_instance_5', 'test_instance_6', 'test_instance_7']}, {'name': 'system-stabilize', 'timeout': 60}, ] } ] } sw_update_testcase.validate_strategy_persists(strategy) sw_update_testcase.validate_phase(apply_phase, expected_results)
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Python
melodic/lib/python2.7/dist-packages/diagnostic_msgs/srv/_AddDiagnostics.py
Dieptranivsr/Ros_Diep
d790e75e6f5da916701b11a2fdf3e03b6a47086b
[ "MIT" ]
1
2021-11-08T12:24:24.000Z
2021-11-08T12:24:24.000Z
devel/lib/python3/dist-packages/diagnostic_msgs/srv/_AddDiagnostics.py
hyu-nani/ydlidar_ws
56316db999c057c4315a20ba8277826d6a043120
[ "MIT" ]
1
2021-07-08T10:26:06.000Z
2021-07-08T10:31:11.000Z
devel/lib/python3/dist-packages/diagnostic_msgs/srv/_AddDiagnostics.py
hyu-nani/ydlidar_ws
56316db999c057c4315a20ba8277826d6a043120
[ "MIT" ]
null
null
null
# This Python file uses the following encoding: utf-8 """autogenerated by genpy from diagnostic_msgs/AddDiagnosticsRequest.msg. Do not edit.""" import codecs import sys python3 = True if sys.hexversion > 0x03000000 else False import genpy import struct class AddDiagnosticsRequest(genpy.Message): _md5sum = "c26cf6e164288fbc6050d74f838bcdf0" _type = "diagnostic_msgs/AddDiagnosticsRequest" _has_header = False # flag to mark the presence of a Header object _full_text = """# This service is used as part of the process for loading analyzers at runtime, # and should be used by a loader script or program, not as a standalone service. # Information about dynamic addition of analyzers can be found at # http://wiki.ros.org/diagnostics/Tutorials/Adding%20Analyzers%20at%20Runtime # The load_namespace parameter defines the namespace where parameters for the # initialization of analyzers in the diagnostic aggregator have been loaded. The # value should be a global name (i.e. /my/name/space), not a relative # (my/name/space) or private (~my/name/space) name. Analyzers will not be added # if a non-global name is used. The call will also fail if the namespace # contains parameters that follow a namespace structure that does not conform to # that expected by the analyzer definitions. See # http://wiki.ros.org/diagnostics/Tutorials/Configuring%20Diagnostic%20Aggregators # and http://wiki.ros.org/diagnostics/Tutorials/Using%20the%20GenericAnalyzer # for examples of the structure of yaml files which are expected to have been # loaded into the namespace. string load_namespace """ __slots__ = ['load_namespace'] _slot_types = ['string'] def __init__(self, *args, **kwds): """ Constructor. Any message fields that are implicitly/explicitly set to None will be assigned a default value. The recommend use is keyword arguments as this is more robust to future message changes. You cannot mix in-order arguments and keyword arguments. The available fields are: load_namespace :param args: complete set of field values, in .msg order :param kwds: use keyword arguments corresponding to message field names to set specific fields. """ if args or kwds: super(AddDiagnosticsRequest, self).__init__(*args, **kwds) # message fields cannot be None, assign default values for those that are if self.load_namespace is None: self.load_namespace = '' else: self.load_namespace = '' def _get_types(self): """ internal API method """ return self._slot_types def serialize(self, buff): """ serialize message into buffer :param buff: buffer, ``StringIO`` """ try: _x = self.load_namespace length = len(_x) if python3 or type(_x) == unicode: _x = _x.encode('utf-8') length = len(_x) buff.write(struct.Struct('<I%ss'%length).pack(length, _x)) except struct.error as se: self._check_types(struct.error("%s: '%s' when writing '%s'" % (type(se), str(se), str(locals().get('_x', self))))) except TypeError as te: self._check_types(ValueError("%s: '%s' when writing '%s'" % (type(te), str(te), str(locals().get('_x', self))))) def deserialize(self, str): """ unpack serialized message in str into this message instance :param str: byte array of serialized message, ``str`` """ codecs.lookup_error("rosmsg").msg_type = self._type try: end = 0 start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) start = end end += length if python3: self.load_namespace = str[start:end].decode('utf-8', 'rosmsg') else: self.load_namespace = str[start:end] return self except struct.error as e: raise genpy.DeserializationError(e) # most likely buffer underfill def serialize_numpy(self, buff, numpy): """ serialize message with numpy array types into buffer :param buff: buffer, ``StringIO`` :param numpy: numpy python module """ try: _x = self.load_namespace length = len(_x) if python3 or type(_x) == unicode: _x = _x.encode('utf-8') length = len(_x) buff.write(struct.Struct('<I%ss'%length).pack(length, _x)) except struct.error as se: self._check_types(struct.error("%s: '%s' when writing '%s'" % (type(se), str(se), str(locals().get('_x', self))))) except TypeError as te: self._check_types(ValueError("%s: '%s' when writing '%s'" % (type(te), str(te), str(locals().get('_x', self))))) def deserialize_numpy(self, str, numpy): """ unpack serialized message in str into this message instance using numpy for array types :param str: byte array of serialized message, ``str`` :param numpy: numpy python module """ codecs.lookup_error("rosmsg").msg_type = self._type try: end = 0 start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) start = end end += length if python3: self.load_namespace = str[start:end].decode('utf-8', 'rosmsg') else: self.load_namespace = str[start:end] return self except struct.error as e: raise genpy.DeserializationError(e) # most likely buffer underfill _struct_I = genpy.struct_I def _get_struct_I(): global _struct_I return _struct_I # This Python file uses the following encoding: utf-8 """autogenerated by genpy from diagnostic_msgs/AddDiagnosticsResponse.msg. Do not edit.""" import codecs import sys python3 = True if sys.hexversion > 0x03000000 else False import genpy import struct class AddDiagnosticsResponse(genpy.Message): _md5sum = "937c9679a518e3a18d831e57125ea522" _type = "diagnostic_msgs/AddDiagnosticsResponse" _has_header = False # flag to mark the presence of a Header object _full_text = """ # True if diagnostic aggregator was updated with new diagnostics, False # otherwise. A false return value means that either there is a bond in the # aggregator which already used the requested namespace, or the initialization # of analyzers failed. bool success # Message with additional information about the success or failure string message """ __slots__ = ['success','message'] _slot_types = ['bool','string'] def __init__(self, *args, **kwds): """ Constructor. Any message fields that are implicitly/explicitly set to None will be assigned a default value. The recommend use is keyword arguments as this is more robust to future message changes. You cannot mix in-order arguments and keyword arguments. The available fields are: success,message :param args: complete set of field values, in .msg order :param kwds: use keyword arguments corresponding to message field names to set specific fields. """ if args or kwds: super(AddDiagnosticsResponse, self).__init__(*args, **kwds) # message fields cannot be None, assign default values for those that are if self.success is None: self.success = False if self.message is None: self.message = '' else: self.success = False self.message = '' def _get_types(self): """ internal API method """ return self._slot_types def serialize(self, buff): """ serialize message into buffer :param buff: buffer, ``StringIO`` """ try: _x = self.success buff.write(_get_struct_B().pack(_x)) _x = self.message length = len(_x) if python3 or type(_x) == unicode: _x = _x.encode('utf-8') length = len(_x) buff.write(struct.Struct('<I%ss'%length).pack(length, _x)) except struct.error as se: self._check_types(struct.error("%s: '%s' when writing '%s'" % (type(se), str(se), str(locals().get('_x', self))))) except TypeError as te: self._check_types(ValueError("%s: '%s' when writing '%s'" % (type(te), str(te), str(locals().get('_x', self))))) def deserialize(self, str): """ unpack serialized message in str into this message instance :param str: byte array of serialized message, ``str`` """ codecs.lookup_error("rosmsg").msg_type = self._type try: end = 0 start = end end += 1 (self.success,) = _get_struct_B().unpack(str[start:end]) self.success = bool(self.success) start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) start = end end += length if python3: self.message = str[start:end].decode('utf-8', 'rosmsg') else: self.message = str[start:end] return self except struct.error as e: raise genpy.DeserializationError(e) # most likely buffer underfill def serialize_numpy(self, buff, numpy): """ serialize message with numpy array types into buffer :param buff: buffer, ``StringIO`` :param numpy: numpy python module """ try: _x = self.success buff.write(_get_struct_B().pack(_x)) _x = self.message length = len(_x) if python3 or type(_x) == unicode: _x = _x.encode('utf-8') length = len(_x) buff.write(struct.Struct('<I%ss'%length).pack(length, _x)) except struct.error as se: self._check_types(struct.error("%s: '%s' when writing '%s'" % (type(se), str(se), str(locals().get('_x', self))))) except TypeError as te: self._check_types(ValueError("%s: '%s' when writing '%s'" % (type(te), str(te), str(locals().get('_x', self))))) def deserialize_numpy(self, str, numpy): """ unpack serialized message in str into this message instance using numpy for array types :param str: byte array of serialized message, ``str`` :param numpy: numpy python module """ codecs.lookup_error("rosmsg").msg_type = self._type try: end = 0 start = end end += 1 (self.success,) = _get_struct_B().unpack(str[start:end]) self.success = bool(self.success) start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) start = end end += length if python3: self.message = str[start:end].decode('utf-8', 'rosmsg') else: self.message = str[start:end] return self except struct.error as e: raise genpy.DeserializationError(e) # most likely buffer underfill _struct_I = genpy.struct_I def _get_struct_I(): global _struct_I return _struct_I _struct_B = None def _get_struct_B(): global _struct_B if _struct_B is None: _struct_B = struct.Struct("<B") return _struct_B class AddDiagnostics(object): _type = 'diagnostic_msgs/AddDiagnostics' _md5sum = 'e6ac9bbde83d0d3186523c3687aecaee' _request_class = AddDiagnosticsRequest _response_class = AddDiagnosticsResponse
35.609272
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10,754
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0.027401
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0.021693
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7
30b8d6dcf1eceff8d04ce40bb0fcd75a8c2176b8
390
py
Python
pytest_pgsql/__init__.py
mathiasose/pytest-pgsql
5e076db146699c3b683b49e4a31323c4c23054de
[ "BSD-3-Clause" ]
61
2017-11-28T15:47:51.000Z
2022-01-26T11:35:44.000Z
pytest_pgsql/__init__.py
mathiasose/pytest-pgsql
5e076db146699c3b683b49e4a31323c4c23054de
[ "BSD-3-Clause" ]
18
2017-11-29T21:59:38.000Z
2021-08-16T17:21:37.000Z
pytest_pgsql/__init__.py
mathiasose/pytest-pgsql
5e076db146699c3b683b49e4a31323c4c23054de
[ "BSD-3-Clause" ]
7
2017-12-02T06:31:44.000Z
2021-03-15T03:20:57.000Z
"""pytest_pgsql""" from pytest_pgsql.version import __version__ # flake8: noqa from pytest_pgsql.time import SQLAlchemyFreezegun from pytest_pgsql.time import freeze_time from pytest_pgsql.database import PostgreSQLTestDBBase from pytest_pgsql.database import PostgreSQLTestDB from pytest_pgsql.database import TransactedPostgreSQLTestDB from pytest_pgsql.ext import create_engine_fixture
43.333333
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0.002801
0.084615
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true
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1
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7
a505e3a11be78f1247ba5a06125b4dafa233f289
132
py
Python
recommend/__init__.py
mythologic/recommend
91db79acb006e3060525dcf2eca6ecfa6b9c68a8
[ "MIT" ]
3
2019-10-31T22:01:53.000Z
2019-11-30T19:18:57.000Z
recommend/__init__.py
mythologic/recommend
91db79acb006e3060525dcf2eca6ecfa6b9c68a8
[ "MIT" ]
null
null
null
recommend/__init__.py
mythologic/recommend
91db79acb006e3060525dcf2eca6ecfa6b9c68a8
[ "MIT" ]
5
2019-11-05T16:50:15.000Z
2019-11-05T16:52:49.000Z
from .utils import load_candy from .utils import ItemVectorizer from .utils import NearestNeighbors from .main import NNRecommender
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7
eb75b4705ce5da205beb91b13c699d5744b3cebb
3,281
py
Python
helpers/seq2seq.py
r-luo/QA-Summary
219dbbd306a85f73c126ad73ef7421c5450afbfc
[ "MIT" ]
null
null
null
helpers/seq2seq.py
r-luo/QA-Summary
219dbbd306a85f73c126ad73ef7421c5450afbfc
[ "MIT" ]
null
null
null
helpers/seq2seq.py
r-luo/QA-Summary
219dbbd306a85f73c126ad73ef7421c5450afbfc
[ "MIT" ]
null
null
null
import torch import torch.nn as nn class Seq2SeqEncoder(nn.Module): def __init__( self, hidden_dim, embedding_weights, embedding_args={}, rnn_module='lstm', rnn_module_args={}, batch_first=True, embedding_padding_index=0, ): vocab_size = embedding_weights.shape[0] embedding_dim = embedding_weights.shape[1] super().__init__() if rnn_module == 'lstm': self.rnn_module = nn.LSTM( input_size=embedding_dim, hidden_size=hidden_dim, batch_first=batch_first, **rnn_module_args ) elif rnn_module == 'gru': self.rnn_module = nn.GRU( input_size=embedding_dim, hidden_size=hidden_dim, batch_first=batch_first, **rnn_module_args ) else: self.rnn_module = rnn_module(**rnn_module_args) self.embedding = nn.Embedding( num_embeddings=vocab_size, embedding_dim=embedding_dim, padding_idx=embedding_padding_index, _weight=embedding_weights, **embedding_args ) # Fix embedding layer weights for param in self.embedding.parameters(): param.requires_grad = False def forward(self, x, hidden): x = self.embedding(x) output, hidden = self.rnn_module(x, hidden) return output, hidden class Seq2SeqDecoder(nn.Module): def __init__( self, hidden_dim, embedding_weights, embedding_args={}, rnn_module='lstm', rnn_module_args={}, batch_first=True, embedding_padding_index=0, ): vocab_size = embedding_weights.shape[0] embedding_dim = embedding_weights.shape[1] super().__init__() if rnn_module == 'lstm': self.rnn_module = nn.LSTM( input_size=embedding_dim, hidden_size=hidden_dim, batch_first=batch_first, **rnn_module_args ) elif rnn_module == 'gru': self.rnn_module = nn.GRU( input_size=embedding_dim, hidden_size=hidden_dim, batch_first=batch_first, **rnn_module_args ) else: self.rnn_module = rnn_module(**rnn_module_args) self.embedding = nn.Embedding( num_embeddings=vocab_size, embedding_dim=embedding_dim, padding_idx=embedding_padding_index, _weight=embedding_weights, **embedding_args ) # Fix embedding layer weights for param in self.embedding.parameters(): param.requires_grad = False self.linear = nn.Linear( in_features=hidden_dim * 2 if self.rnn_module.bidirectional else hidden_dim, out_features=embedding_weights.shape[0], ) self.softmax = nn.Softmax(dim=-1) def forward(self, x, hidden): x = self.embedding(x) output, hidden = self.rnn_module(x, hidden) output = self.linear(output) output = self.softmax(output) return output, hidden
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7
eb8c796903e890c42b4a2361b0b269215b1b01e3
1,538
py
Python
herbarium_data/migrations/0005_auto_20170622_1757.py
qubs/data-api
e85146409003b3725717829a0d72a8565683cc73
[ "Apache-2.0" ]
null
null
null
herbarium_data/migrations/0005_auto_20170622_1757.py
qubs/data-api
e85146409003b3725717829a0d72a8565683cc73
[ "Apache-2.0" ]
9
2020-06-05T17:26:19.000Z
2022-03-11T23:15:41.000Z
herbarium_data/migrations/0005_auto_20170622_1757.py
qubs/data-centre
e85146409003b3725717829a0d72a8565683cc73
[ "Apache-2.0" ]
null
null
null
# -*- coding: utf-8 -*- # Generated by Django 1.10.6 on 2017-06-22 17:57 from __future__ import unicode_literals from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('herbarium_data', '0004_auto_20170622_1746'), ] operations = [ migrations.RunSQL("ALTER TABLE herbarium_data_specimen ALTER dataset SET DEFAULT ''"), migrations.RunSQL("ALTER TABLE herbarium_data_specimen ALTER genus SET DEFAULT ''"), migrations.RunSQL("ALTER TABLE herbarium_data_specimen ALTER species SET DEFAULT ''"), migrations.RunSQL("ALTER TABLE herbarium_data_specimen ALTER common_name SET DEFAULT ''"), migrations.RunSQL("ALTER TABLE herbarium_data_specimen ALTER dth SET DEFAULT ''"), migrations.RunSQL("ALTER TABLE herbarium_data_specimen ALTER collectors SET DEFAULT ''"), migrations.RunSQL("ALTER TABLE herbarium_data_specimen ALTER map_reference SET DEFAULT ''"), migrations.RunSQL("ALTER TABLE herbarium_data_specimen ALTER county SET DEFAULT ''"), migrations.RunSQL("ALTER TABLE herbarium_data_specimen ALTER township SET DEFAULT ''"), migrations.RunSQL("ALTER TABLE herbarium_data_specimen ALTER country SET DEFAULT ''"), migrations.RunSQL("ALTER TABLE herbarium_data_specimen ALTER location SET DEFAULT ''"), migrations.RunSQL("ALTER TABLE herbarium_data_specimen ALTER habitat SET DEFAULT ''"), migrations.RunSQL("ALTER TABLE herbarium_data_specimen ALTER notes SET DEFAULT ''"), ]
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0
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0
0
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0
0
0
7
ccf23f4225435fe6903563205304a264e7b81b4d
11,690
py
Python
python/app/wechat_subscriptions/test.py
lsieun/web_scraping
ab69c2add7d8cec92d76529039dca7a067d4af9a
[ "Apache-2.0" ]
null
null
null
python/app/wechat_subscriptions/test.py
lsieun/web_scraping
ab69c2add7d8cec92d76529039dca7a067d4af9a
[ "Apache-2.0" ]
null
null
null
python/app/wechat_subscriptions/test.py
lsieun/web_scraping
ab69c2add7d8cec92d76529039dca7a067d4af9a
[ "Apache-2.0" ]
null
null
null
target_url = "https://mp.weixin.qq.com/s?__biz=MjM5MDgzMDgwMw==&mid=2651745661&idx=1&sn=e8ee00203a44015f7072429b1e01db4a&chksm=bd4414c18a339dd711f0c0c69dfa41947a8091f79d529b4d2408db53f492accf6ae402771b58&scene=4&subscene=126&ascene=0&devicetype=iOS11.4&version=16070022&nettype=WIFI&abtest_cookie=AwABAAoACwAMAAcAPoseAGSVHgC5lR4AF5YeAIaWHgCMlh4AI5ceAAAA&lang=en&fontScale=100&pass_ticket=y3bD%2BACG5stP%2F%2B7ldcfAxgFPLWPs%2FbSViNfqmX%2F2eLieOxArs3%2FzzfmWbe1mlcGU&wx_header=1 " target_url = "https://mp.weixin.qq.com/s?__biz=MjM5MDgzMDgwMw==&mid=2651745661&idx=2&sn=12895e852dbf70211acd29a77db34efa&chksm=bd4414c18a339dd702a0bb96203cc063ad4652859100b362f6af421a967cb8b6eb244a4d6390&scene=4&ascene=0&devicetype=iOS11.4&version=16070022&nettype=WIFI&abtest_cookie=AwABAAoACwAMAAcAPoseAGSVHgC5lR4AF5YeAIaWHgCMlh4AI5ceAAAA&lang=en&fontScale=100&pass_ticket=y3bD%2BACG5stP%2F%2B7ldcfAxgFPLWPs%2FbSViNfqmX%2F2eLieOxArs3%2FzzfmWbe1mlcGU&wx_header=1" target_url = "http://mp.weixin.qq.com/s?__biz=MjM5MDgzMDgwMw==&mid=2651745645&idx=1&sn=4f987c93d282ed59f533d534a9ef63b6&chksm=bd4414d18a339dc7d325a65f63d8bf0fa91d8155820c601258ee77d9a3f1db260efa4b319be8&scene=27#wechat_redirect" # Host : mp.weixin.qq.com # Cookie : devicetype=iOS11.4; lang=en; pass_ticket=y3bD+ACG5stP/+7ldcfAxgFPLWPs/bSViNfqmX/2eLieOxArs3/zzfmWbe1mlcGU; version=16070022; wap_sid2=CLGRu+8IElx4QmVDdmVFYm5sODcwVmdpOG9vT2FqSnlQckNoSFFseE52aERDLVRKYi0tdUQ4R09MTlBKYm55QVhUdEptdTlMS3BiUWtqQ2s4UXR5M0lKTzlBQzBWTVFEQUFBfjCJuvbZBTgNQJVO; wxuin=2381236401; pgv_pvi=4536995840; pgv_pvid=3605134098; g_ut=3; 3g_guest_id=-8753408813035397120; ua_id=BQxE8DAZPJt2IhLFAAAAACAKXThVP6WI4b8zwvEvmIU=; sd_cookie_crttime=1510970054194; sd_userid=45381510970054194 # X-WECHAT-KEY : ecdd57907ca7e547709dee8be4b7f8de68c69fd751b7a4da3948d1c5e3db865a242216fb8cf31d0ed91cebca7f939e38fddc9b4fa5fe77ad90ac9c7ab2932e04ac31d962af916a1c4ae1390db3c132f7 # X-WECHAT-UIN : MjM4MTIzNjQwMQ%3D%3D # Accept : text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8 # User-Agent : Mozilla/5.0 (iPhone; CPU iPhone OS 11_4 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Mobile/15F79 MicroMessenger/6.7.0 NetType/WIFI Language/en # Accept-Language : en-us # Accept-Encoding : br, gzip, deflate # Connection : keep-alive host = "mp.weixin.qq.com" cookie = "devicetype=iOS11.4; lang=en; pass_ticket=y3bD+ACG5stP/+7ldcfAxgFPLWPs/bSViNfqmX/2eLieOxArs3/zzfmWbe1mlcGU; version=16070022; wap_sid2=CLGRu+8IElx4QmVDdmVFYm5sODcwVmdpOG9vT2FqSnlQckNoSFFseE52aERDLVRKYi0tdUQ4R09MTlBKYm55QVhUdEptdTlMS3BiUWtqQ2s4UXR5M0lKTzlBQzBWTVFEQUFBfjCJuvbZBTgNQJVO; wxuin=2381236401; pgv_pvi=4536995840; pgv_pvid=3605134098; g_ut=3; 3g_guest_id=-8753408813035397120; ua_id=BQxE8DAZPJt2IhLFAAAAACAKXThVP6WI4b8zwvEvmIU=; sd_cookie_crttime=1510970054194; sd_userid=45381510970054194" wechat_key = "ecdd57907ca7e547709dee8be4b7f8de68c69fd751b7a4da3948d1c5e3db865a242216fb8cf31d0ed91cebca7f939e38fddc9b4fa5fe77ad90ac9c7ab2932e04ac31d962af916a1c4ae1390db3c132f7" wechat_uin = "MjM4MTIzNjQwMQ%3D%3D" accept = "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8" user_agent = "Mozilla/5.0 (iPhone; CPU iPhone OS 11_4 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Mobile/15F79 MicroMessenger/6.7.0 NetType/WIFI Language/en" accept_languge = "Accept-Language : en-us" accept_encoding = "br, gzip, deflate" connection = "keep-alive" headers = { "Host" : host, "Cookie" : cookie, "X-WECHAT-KEY" : wechat_key, "X-WECHAT-UIN" : wechat_uin, "Accept" : accept, "User-Agent" : user_agent, "Accept-Language" : accept_languge, "Accept-Encoding" : accept_encoding, "Connection" : connection } # import requests # # r = requests.get(url=target_url, headers=headers) # html_str = r.text # print(html_str) # # # from lxml import etree # # html = etree.HTML(html_str) # pretty_str = etree.tostring(html, encoding="unicode", pretty_print=True) # # with open("temp.html", "wb") as f: # f.write(pretty_str.encode("UTF8")) from webchat_any_proxy import WeChatAnyProxy proxy = WeChatAnyProxy(host="192.168.0.105", port=8002) req = proxy.get_latest_request() reqHeader = req.get("reqHeader") import requests target_url = "https://mp.weixin.qq.com/s?__biz=MjM5MDgzMDgwMw==&mid=2651745517&idx=1&sn=5155c7eb17744ef157a6549b0bd8f416&chksm=bd4415518a339c47c91016a11f6d27f718ae38c39f572ba5d6b12cc69bfd6f973c3542736868&scene=4&subscene=126&ascene=0&devicetype=iOS11.4&version=16070022&nettype=WIFI&abtest_cookie=AwABAAoACwAMAAcAPoseAGSVHgC5lR4AF5YeAIaWHgCMlh4AI5ceAAAA&lang=en&fontScale=100&pass_ticket=y3bD%2BACG5stP%2F%2B7ldcfAxgFPLWPs%2FbSViNfqmX%2F2eLieOxArs3%2FzzfmWbe1mlcGU&wx_header=1" target_url = "https://mp.weixin.qq.com/s?__biz=MjM5MDgzMDgwMw==&mid=2651745517&idx=2&sn=ba1550b3f4a4d6a242e356948fadf759&chksm=bd4415518a339c47de1b73830c48a5aca7a7932beb59c992a10692fd61588992d7abc8d0d7c1&scene=4&ascene=0&devicetype=iOS11.4&version=16070022&nettype=WIFI&abtest_cookie=AwABAAoACwAMAAcAPoseAGSVHgC5lR4AF5YeAIaWHgCMlh4AI5ceAAAA&lang=en&fontScale=100&pass_ticket=y3bD%2BACG5stP%2F%2B7ldcfAxgFPLWPs%2FbSViNfqmX%2F2eLieOxArs3%2FzzfmWbe1mlcGU&wx_header=1" r = requests.get(url=target_url, headers=headers) html_str = r.text # print(html_str) from lxml import etree html = etree.HTML(html_str) pretty_str = etree.tostring(html, encoding="unicode", pretty_print=True) with open("temp.html", "wb") as f: f.write(pretty_str.encode("UTF8")) print("\r\n\r\n") target_url = "https://mp.weixin.qq.com/mp/getappmsgext?f=json&mock=&uin=777&key=777&pass_ticket=y3bD%25252BACG5stP%25252F%25252B7ldcfAxgFPLWPs%25252FbSViNfqmX%25252F2eLieOxArs3%25252FzzfmWbe1mlcGU&wxtoken=777&devicetype=iOS11.4&clientversion=16070022&appmsg_token=964_IK9odEotcV1Lv9TI7JnRAsSzkHKqLvCtp6ORh_7UHi1yQYG9YHX5x5TYb6JLHGSJUNBSJ0_Rerp_A5YO&x5=0&f=json " target_url = "https://mp.weixin.qq.com/mp/getappmsgext?f=json&mock=&uin=777&key=777&pass_ticket=y3bD%25252BACG5stP%25252F%25252B7ldcfAxgFPLWPs%25252FbSViNfqmX%25252F2eLieOxArs3%25252FzzfmWbe1mlcGU&wxtoken=777&devicetype=iOS11.4&clientversion=16070022&appmsg_token=964_w9x6PBkqMoicMV5bN7pPC562TEQpwhx59LWcU-8Op4iG9a1s5KPF8oJaKdPUFzkAtCwrYAYZzXwzuCwU&x5=0&f=json " target_url = "https://mp.weixin.qq.com/mp/getappmsgext?f=json&mock=&uin=777&key=777&pass_ticket=y3bD%25252BACG5stP%25252F%25252B7ldcfAxgFPLWPs%25252FbSViNfqmX%25252F2eLieOxArs3%25252FzzfmWbe1mlcGU&wxtoken=777&devicetype=iOS11.4&clientversion=16070022&appmsg_token=964_6aqMjr4zZRwnEhsHN7pPC562TEQpwhx59LWcUxhYJtCSaPb8Y0uJTTjDnqpdUnOpBoG43edaqPQnDorj&x5=0&f=json" target_url = "https://mp.weixin.qq.com/mp/getappmsgext?f=json&mock=&uin=777&key=777&pass_ticket=y3bD%25252BACG5stP%25252F%25252B7ldcfAxgFPLWPs%25252FbSViNfqmX%25252F2eLieOxArs3%25252FzzfmWbe1mlcGU&wxtoken=777&devicetype=iOS11.4&clientversion=16070022&appmsg_token=964_6aqMjr4zZRwnEhsHN7pPC562TEQpwhx59LWcUxhYJtCSaPb8Y0uJTTjDnqpdUnOpBoG43edaqPQnDorj&x5=0&f=json" body = "r=0.039641611215266326&__biz=MjM5MDgzMDgwMw%3D%3D&appmsg_type=9&mid=2651745517&sn=5155c7eb17744ef157a6549b0bd8f416&idx=1&scene=4&title=%25E4%25BD%25A0%25E6%2595%2588%25E7%258E%2587%25E4%25BD%258E%25E4%25B8%258B%25EF%25BC%258C%25E6%2598%25AF%25E5%259B%25A0%25E4%25B8%25BA%25E4%25BD%25A0%25E6%25A0%25B9%25E6%259C%25AC%25E4%25B8%258D%25E4%25BC%259A%25E7%25AE%25A1%25E7%2590%2586%25E6%2597%25B6%25E9%2597%25B4&ct=1530062220&abtest_cookie=AwABAAoACwAMAAcAPoseAGSVHgC5lR4AF5YeAIaWHgCMlh4AI5ceAAAA&devicetype=iOS11.4&version=16070022&is_need_ticket=0&is_need_ad=1&comment_id=343425027632594946&is_need_reward=0&both_ad=0&reward_uin_count=0&send_time=&msg_daily_idx=1&is_original=0&is_only_read=1&req_id=0513gcTyHNqbW08UUascxsAq&pass_ticket=y3bD%25252BACG5stP%25252F%25252B7ldcfAxgFPLWPs%25252FbSViNfqmX%25252F2eLieOxArs3%25252FzzfmWbe1mlcGU&is_temp_url=0&item_show_type=undefined&tmp_version=1" body = "r=0.9297181952278669&__biz=MjM5MDgzMDgwMw%3D%3D&appmsg_type=9&mid=2651745517&sn=ba1550b3f4a4d6a242e356948fadf759&idx=2&scene=4&title=%25E5%25BD%2592%25E5%25B1%259E%25E6%2584%259F%25E7%25BC%25BA%25E5%25A4%25B1%25E4%25B8%258B%25E7%259A%2584%25E4%25BA%25BA%25E6%2589%258D%25E5%259F%25B9%25E5%2585%25BB%25EF%25BC%259A%25E5%259F%25BA%25E5%25B1%2582%25E7%2594%25A8%25E2%2580%259C%25E6%25B5%2581%25E7%25A8%258B%25E2%2580%259D%25E3%2580%2581%25E4%25B8%25AD%25E5%25B1%2582%25E7%2594%25A8%25E2%2580%259C%25E8%2580%2583%25E6%25A0%25B8%25E2%2580%259D%25E3%2580%2581%25E9%25AB%2598%25E5%25B1%2582%25E7%2594%25A8%25E2%2580%259C%25E7%259B%2591%25E7%259D%25A3%25E2%2580%259D&ct=1530062220&abtest_cookie=AwABAAoACwAMAAcAPoseAGSVHgC5lR4AF5YeAIaWHgCMlh4AI5ceAAAA&devicetype=iOS11.4&version=16070022&is_need_ticket=0&is_need_ad=1&comment_id=343425028588896257&is_need_reward=1&both_ad=0&reward_uin_count=21&send_time=&msg_daily_idx=1&is_original=0&is_only_read=1&req_id=0514irhauCiFBwuz6JjTWa7E&pass_ticket=y3bD%25252BACG5stP%25252F%25252B7ldcfAxgFPLWPs%25252FbSViNfqmX%25252F2eLieOxArs3%25252FzzfmWbe1mlcGU&is_temp_url=0&item_show_type=undefined&tmp_version=1" body = "r=0.07513887868461844&__biz=MjM5MDgzMDgwMw%3D%3D&appmsg_type=9&mid=2651745517&sn=ba1550b3f4a4d6a242e356948fadf759&idx=2&scene=4&title=%25E5%25BD%2592%25E5%25B1%259E%25E6%2584%259F%25E7%25BC%25BA%25E5%25A4%25B1%25E4%25B8%258B%25E7%259A%2584%25E4%25BA%25BA%25E6%2589%258D%25E5%259F%25B9%25E5%2585%25BB%25EF%25BC%259A%25E5%259F%25BA%25E5%25B1%2582%25E7%2594%25A8%25E2%2580%259C%25E6%25B5%2581%25E7%25A8%258B%25E2%2580%259D%25E3%2580%2581%25E4%25B8%25AD%25E5%25B1%2582%25E7%2594%25A8%25E2%2580%259C%25E8%2580%2583%25E6%25A0%25B8%25E2%2580%259D%25E3%2580%2581%25E9%25AB%2598%25E5%25B1%2582%25E7%2594%25A8%25E2%2580%259C%25E7%259B%2591%25E7%259D%25A3%25E2%2580%259D&ct=1530062220&abtest_cookie=AwABAAoACwAMAAcAPoseAGSVHgC5lR4AF5YeAIaWHgCMlh4AI5ceAAAA&devicetype=iOS11.4&version=16070022&is_need_ticket=0&is_need_ad=1&comment_id=343425028588896257&is_need_reward=1&both_ad=0&reward_uin_count=21&send_time=&msg_daily_idx=1&is_original=0&is_only_read=1&req_id=0514Li4bcm6XDTri4na5o2bW&pass_ticket=y3bD%25252BACG5stP%25252F%25252B7ldcfAxgFPLWPs%25252FbSViNfqmX%25252F2eLieOxArs3%25252FzzfmWbe1mlcGU&is_temp_url=0&item_show_type=undefined&tmp_version=1" r = requests.post(url=target_url, data=body, headers=reqHeader) print("SOCIAL:") print(r.text) print("\r\n\r\n") comment_url = "https://mp.weixin.qq.com/mp/appmsg_comment?action=getcomment&scene=0&__biz=MjM5MDgzMDgwMw==&appmsgid=2651745517&idx=1&comment_id=343425027632594946&offset=0&limit=100&uin=777&key=777&pass_ticket=y3bD%25252BACG5stP%25252F%25252B7ldcfAxgFPLWPs%25252FbSViNfqmX%25252F2eLieOxArs3%25252FzzfmWbe1mlcGU&wxtoken=777&devicetype=iOS11.4&clientversion=16070022&appmsg_token=964_IK9odEotcV1Lv9TI7JnRAsSzkHKqLvCtp6ORh_7UHi1yQYG9YHX5x5TYb6JLHGSJUNBSJ0_Rerp_A5YO&x5=0&f=json" comment_url = "https://mp.weixin.qq.com/mp/appmsg_comment?action=getcomment&scene=0&__biz=MjM5MDgzMDgwMw==&appmsgid=2651745517&idx=2&comment_id=343425028588896257&offset=0&limit=100&uin=777&key=777&pass_ticket=y3bD%25252BACG5stP%25252F%25252B7ldcfAxgFPLWPs%25252FbSViNfqmX%25252F2eLieOxArs3%25252FzzfmWbe1mlcGU&wxtoken=777&devicetype=iOS11.4&clientversion=16070022&appmsg_token=964_w9x6PBkqMoicMV5bN7pPC562TEQpwhx59LWcU-8Op4iG9a1s5KPF8oJaKdPUFzkAtCwrYAYZzXwzuCwU&x5=0&f=json " comment_url = "https://mp.weixin.qq.com/mp/appmsg_comment?action=getcomment&scene=0&__biz=MjM5MDgzMDgwMw==&appmsgid=2651745517&idx=2&comment_id=343425028588896257&offset=0&limit=100&uin=777&key=777&pass_ticket=y3bD%25252BACG5stP%25252F%25252B7ldcfAxgFPLWPs%25252FbSViNfqmX%25252F2eLieOxArs3%25252FzzfmWbe1mlcGU&wxtoken=777&devicetype=iOS11.4&clientversion=16070022&appmsg_token=964_6aqMjr4zZRwnEhsHN7pPC562TEQpwhx59LWcUxhYJtCSaPb8Y0uJTTjDnqpdUnOpBoG43edaqPQnDorj&x5=0&f=json " r = requests.post(url=comment_url, headers=reqHeader) print("COMMENT:") print(r.text)
123.052632
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12
15defa7948910af6336ef4825cc780244dc83d08
2,318
py
Python
src/simulation_study/test_sim_study.py
maxschae/prog-econ-project
d5aa7e2ba093242054996933c025aa64dca5e286
[ "MIT" ]
null
null
null
src/simulation_study/test_sim_study.py
maxschae/prog-econ-project
d5aa7e2ba093242054996933c025aa64dca5e286
[ "MIT" ]
null
null
null
src/simulation_study/test_sim_study.py
maxschae/prog-econ-project
d5aa7e2ba093242054996933c025aa64dca5e286
[ "MIT" ]
null
null
null
import pytest from sim_study import fix_simulation_params @pytest.fixture def setup_fix_simulation_params(): out = {} out["n"] = 500 out["M"] = 100 out["model"] = "linear" out["discrete"] = False out["cutoff"] = 0 out["tau"] = 0.75 out["noise_var"] = 1 return out def test_fix_simulation_params_n(setup_fix_simulation_params): with pytest.raises(TypeError): fix_simulation_params( n=100.1, M=setup_fix_simulation_params["M"], model=setup_fix_simulation_params["model"], discrete=setup_fix_simulation_params["discrete"], cutoff=setup_fix_simulation_params["cutoff"], tau=setup_fix_simulation_params["tau"], noise_var=setup_fix_simulation_params["noise_var"], ) def test_fix_simulation_params_M(setup_fix_simulation_params): with pytest.raises(TypeError): fix_simulation_params( n=setup_fix_simulation_params["n"], M=(-1.5), model=setup_fix_simulation_params["model"], discrete=setup_fix_simulation_params["discrete"], cutoff=setup_fix_simulation_params["cutoff"], tau=setup_fix_simulation_params["tau"], noise_var=setup_fix_simulation_params["noise_var"], ) def test_fix_simulation_params_model(setup_fix_simulation_params): with pytest.raises(ValueError): fix_simulation_params( n=setup_fix_simulation_params["n"], M=setup_fix_simulation_params["M"], model="Gaussian", discrete=setup_fix_simulation_params["discrete"], cutoff=setup_fix_simulation_params["cutoff"], tau=setup_fix_simulation_params["tau"], noise_var=setup_fix_simulation_params["noise_var"], ) def test_fix_simulation_params_discrete(setup_fix_simulation_params): with pytest.raises(TypeError): fix_simulation_params( n=setup_fix_simulation_params["n"], M=setup_fix_simulation_params["M"], model=setup_fix_simulation_params["model"], discrete="Yes", cutoff=setup_fix_simulation_params["cutoff"], tau=setup_fix_simulation_params["tau"], noise_var=setup_fix_simulation_params["noise_var"], )
33.594203
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0.237274
2,318
68
70
34.088235
0.783371
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0.087719
false
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0.035088
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9
c6538897053ed3aeacfa9ac8fcde5f1e82ede46d
5,513
py
Python
Taller_Algoritmos_07/Stiven.py
Angelio01/algoritmos_programacion-
63cb4cd4cfa01f504bf9ed927dcebf2466d6f60d
[ "MIT" ]
null
null
null
Taller_Algoritmos_07/Stiven.py
Angelio01/algoritmos_programacion-
63cb4cd4cfa01f504bf9ed927dcebf2466d6f60d
[ "MIT" ]
null
null
null
Taller_Algoritmos_07/Stiven.py
Angelio01/algoritmos_programacion-
63cb4cd4cfa01f504bf9ed927dcebf2466d6f60d
[ "MIT" ]
1
2021-10-29T19:40:32.000Z
2021-10-29T19:40:32.000Z
import turtle stiven=turtle.Turtle() stiven.ht() stiven.pensize(1) stiven.speed(100) stiven.pu() stiven.setposition(-600,-150) stiven.pd() #Letra s stiven.begin_fill() stiven.color("black") stiven.right(90) stiven.forward(75) stiven.left(90) stiven.forward(25) stiven.right(90) stiven.forward(15) stiven.left(90) stiven.forward(95) stiven.left(90) stiven.forward(15) stiven.right(90) stiven.forward(25) stiven.left(90) stiven.forward(15) stiven.right(90) stiven.forward(25) stiven.left(90) stiven.forward(15) stiven.right(90) stiven.forward(15) stiven.left(90) stiven.forward(15) stiven.right(90) stiven.forward(25) stiven.left(90) stiven.forward(15) stiven.right(90) stiven.forward(15) stiven.left(90) stiven.forward(25) stiven.right(90) stiven.forward(15) stiven.left(90) stiven.forward(25) stiven.right(90) stiven.forward(15) stiven.left(90) stiven.forward(35) stiven.left(90) stiven.forward(15) stiven.right(90) stiven.forward(25) stiven.left(90) stiven.forward(25) stiven.right(90) stiven.forward(15) stiven.left(90) stiven.forward(35) stiven.right(90) stiven.forward(25) stiven.left(90) stiven.forward(35) stiven.right(90) stiven.forward(15) stiven.left(90) stiven.forward(25) stiven.right(90) stiven.forward(15) stiven.left(90) stiven.forward(25) stiven.right(90) stiven.forward(25) stiven.left(90) stiven.forward(15) stiven.right(90) stiven.forward(45) stiven.right(90) stiven.forward(15) stiven.left(90) stiven.forward(15) stiven.right(90) stiven.forward(15) stiven.left(90) stiven.forward(15) stiven.right(90) stiven.forward(15) stiven.left(90) stiven.forward(15) stiven.right(90) stiven.forward(25) stiven.left(90) stiven.forward(15) stiven.right(90) stiven.forward(45) stiven.right(90) stiven.forward(15) stiven.left(90) stiven.forward(25) stiven.right(90) stiven.forward(15) stiven.left(90) stiven.forward(15) stiven.right(90) stiven.forward(15) stiven.left(90) stiven.forward(15) stiven.right(90) stiven.forward(35) stiven.left(90) stiven.forward(15) stiven.left(90) stiven.forward(15) stiven.right(90) stiven.forward(15) stiven.left(90) stiven.forward(45) stiven.left(90) stiven.forward(15) stiven.right(90) stiven.forward(15) stiven.left(90) stiven.forward(25) stiven.right(90) stiven.forward(15) stiven.left(90) stiven.forward(90) stiven.left(90) stiven.forward(15) stiven.right(90) stiven.forward(25) stiven.left(90) stiven.forward(15) stiven.right(90) stiven.forward(15) stiven.left(90) stiven.forward(15) stiven.right(90) stiven.forward(25) stiven.left(90) stiven.forward(15) stiven.right(90) stiven.forward(15) stiven.left(90) stiven.forward(15) stiven.right(90) stiven.forward(15) stiven.left(90) stiven.forward(25) stiven.right(90) stiven.forward(15) stiven.left(90) stiven.forward(45) stiven.left(90) stiven.forward(15) stiven.right(90) stiven.forward(25) stiven.left(90) stiven.forward(25) stiven.right(90) stiven.forward(15) stiven.left(90) stiven.forward(35) stiven.right(90) stiven.forward(15) stiven.left(90) stiven.forward(35) stiven.right(90) stiven.forward(15) stiven.left(90) stiven.forward(25) stiven.right(90) stiven.forward(15) stiven.left(90) stiven.forward(25) stiven.right(90) stiven.forward(15) stiven.left(90) stiven.forward(15) stiven.right(90) stiven.forward(55) stiven.right(90) stiven.forward(15) stiven.left(90) stiven.forward(15) stiven.right(90) stiven.forward(15) stiven.left(90) stiven.forward(15) stiven.right(90) stiven.forward(15) stiven.left(90) stiven.forward(15) stiven.right(90) stiven.forward(25) stiven.left(90) stiven.forward(15) stiven.right(90) stiven.forward(25) stiven.left(90) stiven.forward(15) stiven.right(90) stiven.forward(55) stiven.right(90) stiven.forward(15) stiven.left(90) stiven.forward(35) stiven.right(90) stiven.forward(25) stiven.left(90) stiven.forward(15) stiven.right(90) stiven.forward(35) stiven.left(90) stiven.forward(15) stiven.end_fill() #letras:TIVEN stiven.speed(5) stiven.pu() stiven.setposition(-450,-250) stiven.pensize(3) stiven.pd() stiven.penup() stiven.backward(175) stiven.pendown() stiven.right(90) stiven.forward(140) stiven.right(90) stiven.forward(50) stiven.backward(100) stiven.penup() stiven.forward(125) stiven.pendown() stiven.forward(100) stiven.backward(50) stiven.right(90) stiven.forward(140) stiven.right(90) stiven.forward(50) stiven.backward(100) stiven.penup() stiven.backward(25) stiven.right(90) stiven.forward(140) stiven.right(90) stiven.right(70) stiven.pendown() stiven.forward(148.6606875) stiven.left(142) stiven.forward(148.6606875) stiven.right(72) stiven.penup() stiven.forward(25) stiven.pendown() stiven.forward(100) stiven.backward(100) stiven.right(90) stiven.forward(70) stiven.left(90) stiven.forward(100) stiven.backward(100) stiven.right(90) stiven.forward(70) stiven.left(90) stiven.forward(100) stiven.penup() stiven.forward(25) stiven.left(90) stiven.pendown() stiven.forward(140) stiven.right(90) stiven.right(45) stiven.forward(198) stiven.left(135) stiven.forward(140) stiven.penup() stiven.setposition(-620,-270) stiven.pendown() stiven.pensize(5) stiven.right(90) stiven.forward(1200) stiven.penup() stiven.setposition(-620,-280) stiven.pendown() stiven.forward(800) stiven.speed(100) stiven.penup() stiven.setposition(450,-100) stiven.pendown() stiven.pensize(1) z = 0 f = 0 stiven.speed(10) stiven.speed(10000000) while True: for i in range(4): stiven.forward (40) stiven.right(90) stiven.right(15) z += 1 if z >= 390/15: stiven.forward(25) z = 0 f += 1 if f >= 12: break turtle.done()
17.669872
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0.758208
898
5,513
4.652561
0.082405
0.388942
0.402106
0.277405
0.848731
0.800144
0.792245
0.770943
0.760172
0.760172
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0.119365
0.074551
5,513
312
30
17.669872
0.69953
0.003446
0
0.862295
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0.00091
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false
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0.003279
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0.003279
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null
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null
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0
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10
d68805f227907d43a1d81b70d9792b8cfb5baa4e
100
py
Python
sdcdup/models/__init__.py
WillieMaddox/Airbus_SDC_dup
09be904cf3c8050086f07538f5e2954282de5d62
[ "MIT" ]
null
null
null
sdcdup/models/__init__.py
WillieMaddox/Airbus_SDC_dup
09be904cf3c8050086f07538f5e2954282de5d62
[ "MIT" ]
null
null
null
sdcdup/models/__init__.py
WillieMaddox/Airbus_SDC_dup
09be904cf3c8050086f07538f5e2954282de5d62
[ "MIT" ]
null
null
null
from .dupnet import load_checkpoint from .dupnet import save_checkpoint from .dupnet import DupCNN
20
35
0.84
14
100
5.857143
0.5
0.365854
0.585366
0.634146
0
0
0
0
0
0
0
0
0.13
100
4
36
25
0.942529
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true
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null
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null
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0
0
7
d6cc6a65f7290beb87dcb8e953b6e8e06f4d2c7d
7,746
py
Python
software/analyzerGUI/icons.py
MarcelMG/F373_recording_device
f174a7be2616f81b03a5404ef0d7a2891205c478
[ "BSD-3-Clause" ]
1
2022-01-21T13:43:14.000Z
2022-01-21T13:43:14.000Z
software/analyzerGUI/icons.py
MarcelMG/F373_recording_device
f174a7be2616f81b03a5404ef0d7a2891205c478
[ "BSD-3-Clause" ]
null
null
null
software/analyzerGUI/icons.py
MarcelMG/F373_recording_device
f174a7be2616f81b03a5404ef0d7a2891205c478
[ "BSD-3-Clause" ]
null
null
null
## GUI icons ## arrow_right_base64 = 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arrow_left_base64 = 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py
Python
tests/test_nihao.py
TechOpsX/nihao-pypi
98a4e9a11a8a0f62fba41943e76e57e5c17a1472
[ "MIT" ]
null
null
null
tests/test_nihao.py
TechOpsX/nihao-pypi
98a4e9a11a8a0f62fba41943e76e57e5c17a1472
[ "MIT" ]
null
null
null
tests/test_nihao.py
TechOpsX/nihao-pypi
98a4e9a11a8a0f62fba41943e76e57e5c17a1472
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- """Test ApiGW""" from nihao_pypi.nihao import nihao_pypi def test_nihao(): assert nihao_pypi() == '你好Pypi'
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bab8b799cb0a65f77a67180bf81437c9b38a7830
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py
Python
pcap3103/using_modules/helpers.py
owaishanif786/python
212d626e10bebf161ee123459dc5f0384d9540ac
[ "MIT" ]
null
null
null
pcap3103/using_modules/helpers.py
owaishanif786/python
212d626e10bebf161ee123459dc5f0384d9540ac
[ "MIT" ]
null
null
null
pcap3103/using_modules/helpers.py
owaishanif786/python
212d626e10bebf161ee123459dc5f0384d9540ac
[ "MIT" ]
null
null
null
NAME = 'Little Wolf' def extract_upper(phrase): return list(filter(str.isupper, phrase)) def extract_lower(phrase): return list(filter(str.islower, phrase))
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py
Python
tests/test_logger.py
tack41/programs-python-utilities
6fd6d9de456f2758d74e8335d1c7a6d792215031
[ "MIT" ]
null
null
null
tests/test_logger.py
tack41/programs-python-utilities
6fd6d9de456f2758d74e8335d1c7a6d792215031
[ "MIT" ]
null
null
null
tests/test_logger.py
tack41/programs-python-utilities
6fd6d9de456f2758d74e8335d1c7a6d792215031
[ "MIT" ]
null
null
null
import sys,os,subprocess import pathlib import unittest script_dir = pathlib.Path(__file__).parent.resolve() script_name = pathlib.Path(__file__).name script_name_stem = pathlib.Path(__file__).stem parent_dir = script_dir.parent.resolve() sys.path.append(str(parent_dir)) from logger import Logger class TestLogger(unittest.TestCase): def test_without_file_no_verbose(self): """ファイル出力なし,冗長出力なし""" logger = Logger(sys._getframe().f_code.co_name) print("") logger.debug("test debug") logger.info("test info") logger.warning("test warning") logger.error("test error") logger.critical("test critical") try: zde = 1 / 0 except ZeroDivisionError as e: logger.exception(e) print("---Check the 5 lines 'info','warning','error','critical','error' and stack traces are displayed") self.assertTrue(True) return 0 def test_without_file_verbose(self): """ファイル出力なし,冗長出力あり""" logger = Logger(sys._getframe().f_code.co_name,True) print("") logger.debug("test debug") logger.info("test info") logger.warning("test warning") logger.error("test error") logger.critical("test critical") try: zde = 1 / 0 except ZeroDivisionError as e: logger.exception(e) print("---Check the 6 lines 'debug','info','warning','error','critical','error' and stack traces are displayed") self.assertTrue(True) def test_with_file_no_verbose(self): """ファイル出力あり,冗長出力なし""" log_file = script_dir.joinpath("result1.log") if log_file.exists(): os.remove(log_file) logger = Logger(sys._getframe().f_code.co_name, False, log_file) print("") logger.debug("test debug") logger.info("test info") logger.warning("test warning") logger.error("test error") logger.critical("test critical") try: zde = 1 / 0 except ZeroDivisionError as e: logger.exception(e) rc = subprocess.call(f"grep -c debug {log_file} | grep -E '^1$'", shell=True, stdout=subprocess.DEVNULL) self.assertEqual(0, rc) rc = subprocess.call(f"grep -c info {log_file} | grep -E '^1$'", shell=True, stdout=subprocess.DEVNULL) self.assertEqual(0, rc) rc = subprocess.call(f"grep -c warning {log_file} | grep -E '^1$'", shell=True, stdout=subprocess.DEVNULL) self.assertEqual(0, rc) rc = subprocess.call(f"grep -c error {log_file} | grep -E '^1$'", shell=True, stdout=subprocess.DEVNULL) self.assertEqual(0, rc) rc = subprocess.call(f"grep -c critical {log_file} | grep -E '^1$'", shell=True, stdout=subprocess.DEVNULL) self.assertEqual(0, rc) rc = subprocess.call(f"grep -c Traceback {log_file} | grep -E '^1$'", shell=True, stdout=subprocess.DEVNULL) self.assertEqual(0, rc) print("---Check the 5 lines 'info','warning','error','critical','error' and stack traces are displayed") self.assertTrue(True) def test_with_file_verbose(self): """ファイル出力あり,冗長出力あり""" log_file = script_dir.joinpath("result2.log") if log_file.exists(): os.remove(log_file) logger = Logger(sys._getframe().f_code.co_name, True, log_file) print("") logger.debug("test debug") logger.info("test info") logger.warning("test warning") logger.error("test error") logger.critical("test critical") try: zde = 1 / 0 except ZeroDivisionError as e: logger.exception(e) rc = subprocess.call(f"grep -c debug {log_file} | grep -E '^1$'", shell=True, stdout=subprocess.DEVNULL) self.assertEqual(0, rc) rc = subprocess.call(f"grep -c info {log_file} | grep -E '^1$'", shell=True, stdout=subprocess.DEVNULL) self.assertEqual(0, rc) rc = subprocess.call(f"grep -c warning {log_file} | grep -E '^1$'", shell=True, stdout=subprocess.DEVNULL) self.assertEqual(0, rc) rc = subprocess.call(f"grep -c error {log_file} | grep -E '^1$'", shell=True, stdout=subprocess.DEVNULL) self.assertEqual(0, rc) rc = subprocess.call(f"grep -c critical {log_file} | grep -E '^1$'", shell=True, stdout=subprocess.DEVNULL) self.assertEqual(0, rc) rc = subprocess.call(f"grep -c Traceback {log_file} | grep -E '^1$'", shell=True, stdout=subprocess.DEVNULL) self.assertEqual(0, rc) print("---Check the 6 lines 'debug','info','warning','error','critical','error' and stack traces are displayed") self.assertTrue(True) if __name__ == '__main__': unittest.main(verbosity=2)
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bad4c09dc71e7c72e12ed91658c7c25578105e99
158
py
Python
model/__init__.py
genwch/jmapp
760fef05286a31b1f8216b4f5af9ed6941a35106
[ "MIT" ]
null
null
null
model/__init__.py
genwch/jmapp
760fef05286a31b1f8216b4f5af9ed6941a35106
[ "MIT" ]
null
null
null
model/__init__.py
genwch/jmapp
760fef05286a31b1f8216b4f5af9ed6941a35106
[ "MIT" ]
null
null
null
from .login import * from .register import * from .job import * from .apply import * from .offer import * from .profile import * from .apply_profile import *
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2406c9b0f6c20484091c596d2d44732a5a0f157f
173
py
Python
orbitkit/util/util_str.py
clown-0726/orbitkit
233c4a8a7b4fda3bbdb1631de4fd4fbdf79c7b6f
[ "MIT" ]
3
2021-07-27T10:39:56.000Z
2021-07-28T00:09:03.000Z
orbitkit/util/util_str.py
clown-0726/orbitkit
233c4a8a7b4fda3bbdb1631de4fd4fbdf79c7b6f
[ "MIT" ]
null
null
null
orbitkit/util/util_str.py
clown-0726/orbitkit
233c4a8a7b4fda3bbdb1631de4fd4fbdf79c7b6f
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- EMPTY_STR = "" def is_empty(word): return bool(word == EMPTY_STR) def is_empty_strip(word): return bool(str(word).strip() == EMPTY_STR)
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241081ad065d76de7e767bacfc72fd0d146e390b
9,374
py
Python
mono-chain/gaussian.py
robineriksson/bnn-regression
1efd1e6e87feb468ab65e4c786412a9d02f45e71
[ "Apache-2.0" ]
null
null
null
mono-chain/gaussian.py
robineriksson/bnn-regression
1efd1e6e87feb468ab65e4c786412a9d02f45e71
[ "Apache-2.0" ]
null
null
null
mono-chain/gaussian.py
robineriksson/bnn-regression
1efd1e6e87feb468ab65e4c786412a9d02f45e71
[ "Apache-2.0" ]
1
2021-03-29T12:42:17.000Z
2021-03-29T12:42:17.000Z
import numpy as np import numpy.random as rng import scipy.stats import scipy.misc #from itertools import izip #import helper class Gaussian: """Implements a gaussian pdf. Focus is on efficient multiplication, division and sampling.""" def __init__(self, m=None, P=None, U=None, S=None, Pm=None): """ Initialize a gaussian pdf given a valid combination of its parameters. Valid combinations are: m-P, m-U, m-S, Pm-P, Pm-U, Pm-S :param m: mean :param P: precision = :param U: upper triangular precision factor such that U'U = P :param S: covariance :param Pm: precision times mean such that P*m = Pm """ if m is not None: m = np.asarray(m) self.m = m self.ndim = m.size if P is not None: P = np.asarray(P) L = np.linalg.cholesky(P) self.P = P self.C = np.linalg.inv(L) self.S = np.dot(self.C.T, self.C) self.Pm = np.dot(P, m) self.logdetP = 2.0 * np.sum(np.log(np.diagonal(L))) elif U is not None: U = np.asarray(U) self.P = np.dot(U.T, U) self.C = np.linalg.inv(U.T) self.S = np.dot(self.C.T, self.C) self.Pm = np.dot(self.P, m) self.logdetP = 2.0 * np.sum(np.log(np.diagonal(U))) elif S is not None: S = np.asarray(S) self.P = np.linalg.inv(S) self.C = np.linalg.cholesky(S).T self.S = S self.Pm = np.dot(self.P, m) self.logdetP = -2.0 * np.sum(np.log(np.diagonal(self.C))) else: raise ValueError('Precision information missing.') elif Pm is not None: Pm = np.asarray(Pm) self.Pm = Pm self.ndim = Pm.size if P is not None: P = np.asarray(P) L = np.linalg.cholesky(P) self.P = P self.C = np.linalg.inv(L) self.S = np.dot(self.C.T, self.C) self.m = np.linalg.solve(P, Pm) self.logdetP = 2.0 * np.sum(np.log(np.diagonal(L))) elif U is not None: U = np.asarray(U) self.P = np.dot(U.T, U) self.C = np.linalg.inv(U.T) self.S = np.dot(self.C.T, self.C) self.m = np.linalg.solve(self.P, Pm) self.logdetP = 2.0 * np.sum(np.log(np.diagonal(U))) elif S is not None: S = np.asarray(S) self.P = np.linalg.inv(S) self.C = np.linalg.cholesky(S).T self.S = S self.m = np.dot(S, Pm) self.logdetP = -2.0 * np.sum(np.log(np.diagonal(self.C))) else: raise ValueError('Precision information missing.') else: raise ValueError('Mean information missing.') def gen(self, n_samples=1): """Returns independent samples from the gaussian.""" z = rng.randn(n_samples, self.ndim) samples = np.dot(z, self.C) + self.m return samples def eval(self, x, ii=None, log=True): """ Evaluates the gaussian pdf. :param x: rows are inputs to evaluate at :param ii: a list of indices specifying which marginal to evaluate. if None, the joint pdf is evaluated :param log: if True, the log pdf is evaluated :return: pdf or log pdf """ if ii is None: xm = x - self.m lp = -np.sum(np.dot(xm, self.P) * xm, axis=1) lp += self.logdetP - self.ndim * np.log(2.0 * np.pi) lp *= 0.5 else: m = self.m[ii] S = self.S[ii][:, ii] lp = scipy.stats.multivariate_normal.logpdf(x, m, S) lp = np.array([lp]) if x.shape[0] == 1 else lp res = lp if log else np.exp(lp) return res def __mul__(self, other): """Multiply with another gaussian.""" assert isinstance(other, Gaussian) P = self.P + other.P Pm = self.Pm + other.Pm return Gaussian(P=P, Pm=Pm) def __imul__(self, other): """Incrementally multiply with another gaussian.""" assert isinstance(other, Gaussian) res = self * other self.m = res.m self.P = res.P self.C = res.C self.S = res.S self.Pm = res.Pm self.logdetP = res.logdetP return res def __div__(self, other): """Divide by another gaussian. Note that the resulting gaussian might be improper.""" assert isinstance(other, Gaussian) P = self.P - other.P Pm = self.Pm - other.Pm return Gaussian(P=P, Pm=Pm) def __idiv__(self, other): """Incrementally divide by another gaussian. Note that the resulting gaussian might be improper.""" assert isinstance(other, Gaussian) res = self / other self.m = res.m self.P = res.P self.C = res.C self.S = res.S self.Pm = res.Pm self.logdetP = res.logdetP return res def __pow__(self, power, modulo=None): """Raise gaussian to a power and get another gaussian.""" P = power * self.P Pm = power * self.Pm return Gaussian(P=P, Pm=Pm) def __ipow__(self, power): """Incrementally raise gaussian to a power.""" res = self ** power self.m = res.m self.P = res.P self.C = res.C self.S = res.S self.Pm = res.Pm self.logdetP = res.logdetP return res def kl(self, other): """Calculates the kl divergence from this to another gaussian, i.e. KL(this | other).""" assert isinstance(other, Gaussian) assert self.ndim == other.ndim t1 = np.sum(other.P * self.S) m = other.m - self.m t2 = np.dot(m, np.dot(other.P, m)) t3 = self.logdetP - other.logdetP t = 0.5 * (t1 + t2 + t3 - self.ndim) return tray(P) def gen(self, n_samples=1): """Returns independent samples from the gaussian.""" z = rng.randn(n_samples, self.ndim) samples = np.dot(z, self.C) + self.m return samples def eval(self, x, ii=None, log=True): """ Evaluates the gaussian pdf. :param x: rows are inputs to evaluate at :param ii: a list of indices specifying which marginal to evaluate. if None, the joint pdf is evaluated :param log: if True, the log pdf is evaluated :return: pdf or log pdf """ if ii is None: xm = x - self.m lp = -np.sum(np.dot(xm, self.P) * xm, axis=1) lp += self.logdetP - self.ndim * np.log(2.0 * np.pi) lp *= 0.5 else: m = self.m[ii] S = self.S[ii][:, ii] lp = scipy.stats.multivariate_normal.logpdf(x, m, S) lp = np.array([lp]) if x.shape[0] == 1 else lp res = lp if log else np.exp(lp) return res def __mul__(self, other): """Multiply with another gaussian.""" assert isinstance(other, Gaussian) P = self.P + other.P Pm = self.Pm + other.Pm return Gaussian(P=P, Pm=Pm) def __imul__(self, other): """Incrementally multiply with another gaussian.""" assert isinstance(other, Gaussian) res = self * other self.m = res.m self.P = res.P self.C = res.C self.S = res.S self.Pm = res.Pm self.logdetP = res.logdetP return res def __div__(self, other): """Divide by another gaussian. Note that the resulting gaussian might be improper.""" assert isinstance(other, Gaussian) P = self.P - other.P Pm = self.Pm - other.Pm return Gaussian(P=P, Pm=Pm) def __idiv__(self, other): """Incrementally divide by another gaussian. Note that the resulting gaussian might be improper.""" assert isinstance(other, Gaussian) res = self / other self.m = res.m self.P = res.P self.C = res.C self.S = res.S self.Pm = res.Pm self.logdetP = res.logdetP return res def __pow__(self, power, modulo=None): """Raise gaussian to a power and get another gaussian.""" P = power * self.P Pm = power * self.Pm return Gaussian(P=P, Pm=Pm) def __ipow__(self, power): """Incrementally raise gaussian to a power.""" res = self ** power self.m = res.m self.P = res.P self.C = res.C self.S = res.S self.Pm = res.Pm self.logdetP = res.logdetP return res def kl(self, other): """Calculates the kl divergence from this to another gaussian, i.e. KL(this | other).""" assert isinstance(other, Gaussian) assert self.ndim == other.ndim t1 = np.sum(other.P * self.S) m = other.m - self.m t2 = np.dot(m, np.dot(other.P, m)) t3 = self.logdetP - other.logdetP t = 0.5 * (t1 + t2 + t3 - self.ndim) return t
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7
24292f42305a06b398aebeef08057bd1d953f81e
10,027
py
Python
ontask/connection/views/admin.py
pinheiroo27/ontask_b
23fee8caf4e1c5694a710a77f3004ca5d9effeac
[ "MIT" ]
33
2017-12-02T04:09:24.000Z
2021-11-07T08:41:57.000Z
ontask/connection/views/admin.py
pinheiroo27/ontask_b
23fee8caf4e1c5694a710a77f3004ca5d9effeac
[ "MIT" ]
189
2017-11-16T04:06:29.000Z
2022-03-11T23:35:59.000Z
ontask/connection/views/admin.py
pinheiroo27/ontask_b
23fee8caf4e1c5694a710a77f3004ca5d9effeac
[ "MIT" ]
30
2017-11-30T03:35:44.000Z
2022-01-31T03:08:08.000Z
# -*- coding: utf-8 -*- """Common functions to handle connections.""" from typing import Optional from django import http from django.contrib.auth.decorators import user_passes_test from django.shortcuts import render from django.template.loader import render_to_string from django.urls import reverse from django.utils.translation import ugettext_lazy as _ from ontask import models from ontask.connection import forms, services from ontask.core import ajax_required, is_admin, is_instructor from ontask.core.session_ops import remove_workflow_from_session @user_passes_test(is_admin) def sql_connection_admin_index(request: http.HttpRequest) -> http.HttpResponse: """Show and handle the SQL connections. :param request: Request :return: Render the appropriate page. """ remove_workflow_from_session(request) return render( request, 'connection/index_admin.html', { 'table': services.create_sql_connection_admintable(), 'title': _('SQL Connections'), 'data_url': reverse('connection:sqlconn_add')}) @user_passes_test(is_admin) def athena_connection_admin_index( request: http.HttpRequest, ) -> http.HttpResponse: """Show and handle the connections. :param request: Request :return: Render the appropriate page. """ remove_workflow_from_session(request) return render( request, 'connection/index_admin.html', { 'table': services.create_athena_connection_admintable(), 'title': _('Athena Connections'), 'data_url': reverse('dataops:athenaconn_add')}) @user_passes_test(is_instructor) @ajax_required def sql_connection_view( request: http.HttpRequest, pk: int, ) -> http.JsonResponse: """Show the SQL connection in a modal. :param request: Request object :param pk: Primary key of the connection element :return: AJAX response """ c_obj = models.SQLConnection.objects.filter(pk=pk).first() if not c_obj: # Connection object not found, go to table of Athena connections return http.JsonResponse({ 'html_redirect': reverse('connection:sqlconns_admin_index')}) return http.JsonResponse({ 'html_form': render_to_string( 'connection/includes/partial_show.html', {'c_vals': c_obj.get_display_dict(), 'id': c_obj.id}, request=request)}) @user_passes_test(is_instructor) @ajax_required def athena_connection_view( request: http.HttpRequest, pk: int ) -> http.JsonResponse: """Show the Athena connection in a modal. :param request: Request object :param pk: Primary key of the connection element :return: AJAX response """ c_obj = models.AthenaConnection.objects.filter(pk=pk).first() if not c_obj: # Connection object not found, go to table of Athena connections return http.JsonResponse({ 'html_redirect': reverse('connnection:athenaconns_admin_index')}) return http.JsonResponse({ 'html_form': render_to_string( 'connection/includes/partial_show.html', {'c_vals': c_obj.get_display_dict(), 'id': c_obj.id}, request=request)}) @user_passes_test(is_admin) @ajax_required def sql_connection_edit( request: http.HttpRequest, pk: Optional[int] = None, ) -> http.JsonResponse: """Respond to the request to create/edit an SQL connection object. :param request: HTML request :param pk: Primary key :return: """ conn = None is_add = pk is None form_class = forms.SQLConnectionForm if is_add: action_url = reverse('connection:sqlconn_add') else: action_url = reverse('connection:sqlconn_edit', kwargs={'pk': pk}) conn = models.SQLConnection.objects.filter(pk=pk).first() if not conn: return http.JsonResponse({'html_redirect': reverse('home')}) form = form_class(request.POST or None, instance=conn) # If it is a POST and it is correct if request.method == 'POST' and form.is_valid(): if not form.has_changed(): return http.JsonResponse({'html_redirect': None}) conn = form.save() if is_add: conn.log(request.user, conn.create_event) else: conn.log(request.user, conn.edit_event) return http.JsonResponse({'html_redirect': ''}) # Request is a GET return http.JsonResponse({ 'html_form': render_to_string( 'connection/includes/partial_addedit.html', { 'form': form, 'id': form.instance.id, 'add': is_add, 'action_url': action_url}, request=request)}) @user_passes_test(is_admin) @ajax_required def athena_connection_edit( request: http.HttpRequest, pk: Optional[int] = None, ) -> http.JsonResponse: """Respond to the request to create/edit an Athena connection object. :param request: HTML request :param pk: Primary key :return: JSON Response """ conn = None is_add = pk is None form_class = forms.AthenaConnectionForm if is_add: action_url = reverse('dataops:athenaconn_add') else: action_url = reverse('dataops:athenaconn_edit', kwargs={'pk': pk}) conn = models.AthenaConnection.objects.filter(pk=pk).first() if not conn: return http.JsonResponse({'html_redirect': reverse('home')}) form = form_class(request.POST or None, instance=conn) if request.method == 'POST' and form.is_valid(): if not form.has_changed(): return http.JsonResponse({'html_redirect': None}) conn = form.save() if is_add: conn.log(request.user, conn.create_event) else: conn.log(request.user, conn.edit_event) return http.JsonResponse({'html_redirect': ''}) # Request is a GET return http.JsonResponse({ 'html_form': render_to_string( 'connection/includes/partial_addedit.html', { 'form': form, 'id': form.instance.id, 'add': is_add, 'action_url': action_url}, request=request)}) @user_passes_test(is_admin) @ajax_required def sql_connection_clone( request: http.HttpRequest, pk: int ) -> http.JsonResponse: """AJAX handshake to clone an SQL connection. :param request: HTTP request :param pk: ID of the connection to clone. :return: AJAX response """ conn = models.SQLConnection.objects.filter(pk=pk).first() if not conn: # The view is not there. Redirect to workflow detail return http.JsonResponse({'html_redirect': reverse('home')}) return services.clone_connection( request, conn, models.SQLConnection.objects, reverse('connection:sqlconn_clone', kwargs={'pk': conn.id})) @user_passes_test(is_admin) @ajax_required def athena_connection_clone( request: http.HttpRequest, pk: int ) -> http.JsonResponse: """AJAX handshake to clone an Athena connection. :param request: HTTP request :param pk: ID of the connection to clone. :return: AJAX response """ conn = models.AthenaConnection.objects.filter(pk=pk).first() if not conn: # The view is not there. Redirect to workflow detail return http.JsonResponse({'html_redirect': reverse('home')}) return services.clone_connection( request, conn, models.AthenaConnection.objects, reverse('dataops:athenaconn_clone', kwargs={'pk': conn.id})) @user_passes_test(is_admin) @ajax_required def sql_connection_delete( request: http.HttpRequest, pk: int ) -> http.JsonResponse: """AJAX processor for the delete SQL connection operation. :param request: AJAX request :param pk: primary key for the connection :return: AJAX response to handle the form """ conn = models.SQLConnection.objects.filter(pk=pk).first() if not conn: # The view is not there. Redirect to workflow detail return http.JsonResponse({'html_redirect': reverse('home')}) return services.delete( request, conn, reverse('connection:sqlconn_delete', kwargs={'pk': conn.id})) @user_passes_test(is_admin) @ajax_required def athena_connection_delete( request: http.HttpRequest, pk: int ) -> http.JsonResponse: """AJAX processor for the delete an Athena connection operation. :param request: AJAX request :param pk: primary key for the connection :return: AJAX response to handle the form """ conn = models.AthenaConnection.objects.filter(pk=pk).first() if not conn: # The view is not there. Redirect to workflow detail return http.JsonResponse({'html_redirect': reverse('home')}) return services.delete( request, conn, reverse('dataops:athenaconn_delete', kwargs={'pk': conn.id})) @user_passes_test(is_instructor) @ajax_required def sqlconn_toggle( request: http.HttpRequest, pk: int, ) -> http.JsonResponse: """Enable/Disable an SQL connection. :param request: Request object :param pk: Connection PK :return: HTML response """ # Check if the workflow is locked conn = models.SQLConnection.objects.filter(pk=pk).first() return services.toggle( request, conn, reverse('connection:sqlconn_toggle', kwargs={'pk': conn.id})) @user_passes_test(is_instructor) @ajax_required def athenaconn_toggle( request: http.HttpRequest, pk: int, ) -> http.JsonResponse: """Enable/Disable an Athena connection. :param request: Request object :param pk: Connection PK :return: HTML response """ # Check if the workflow is locked conn = models.AthenaConnection.objects.filter(pk=pk).first() return services.toggle( request, conn, reverse('dataops:athenaconn_toggle', kwargs={'pk': conn.id}))
30.201807
79
0.660118
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0.873561
0.827683
0.808709
0.808709
0.793935
0.787558
0
0.00013
0.23327
10,027
331
80
30.293051
0.836238
0.212227
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0.751196
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0.072908
0
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0.057416
false
0.062201
0.052632
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0.22488
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0
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1
0
0
0
0
0
8
2456f4c79b6a70488c3aa64598ba012db75acc6c
3,634
py
Python
pushEngine/views.py
dhdiagram4011/reservation-aoo-project
17845dbd8c7d24294b235190fc00d724445d846f
[ "MIT" ]
1
2020-05-24T07:01:12.000Z
2020-05-24T07:01:12.000Z
pushEngine/views.py
dhdiagram4011/reservation-aoo-project
17845dbd8c7d24294b235190fc00d724445d846f
[ "MIT" ]
4
2020-05-24T06:51:54.000Z
2021-01-24T05:33:47.000Z
pushEngine/views.py
dhdiagram4011/reservation-aoo-project
17845dbd8c7d24294b235190fc00d724445d846f
[ "MIT" ]
null
null
null
from django.shortcuts import render from django.http import HttpResponse from .models import MsgPush from .forms import * from django.views.generic import ListView, View ## Class Type View class MsgPushRepage(View): #web browser url path /push/sendev/ def get(self,request): form = MsgPushForm(request.GET) return render(request, 'pushEngine/send.html', {'form':form}) def post(self,request): form = MsgPushForm(request.POST) if form.is_valid(): EKS_HOST = 'http://a8bdd5f7b96aa473ab24d95145037461-1710871681.ap-northeast-2.elb.amazonaws.com' STREAMING_HOST = 'http://a35f02dcb552449a3b4c0d0f708075b2-507238096.ap-northeast-2.elb.amazonaws.com:9000' STM_PATH = [ "/auth/login", "/auth/register", ] for i in STM_PATH: URL_ALL = STREAMING_HOST + str(i.split(',')).replace('[','').replace(']','').replace('\'','') response = requests.get(URL_ALL) health_check = response.status_code ,':', URL_ALL.split(',') print(health_check) WEB_HOOK_URL = 'http://apis.aligo.in/send/' headers = {'Content-type':'application/x-www-form-urlencoded'} data = { 'key' : 'ubkm32s9fllu6ui96cq7uegwdk0oxhnc', 'user_id' : 'dhdiagram', 'sender' : request.POST['sender'], 'receiver' : request.POST['receiver'], 'destination' : request.POST['sender']|request.POST['sender'], 'msg' : health_check, 'title' : request.POST['title'], 'rdate' : '20201021', 'rtime' : '1300', 'testmode_yn' : 'n' } requests.post(WEB_HOOK_URL, headers=headers, data=data) return HttpResponse("SUCCESS!!!") ### Function Case View def MsgSend(request): if request.method == 'GET': form = MsgPushForm(request.GET) return render(request, 'pushEngine/send.html', {'form':form}) elif request.method == 'POST': form = sendForm(request.POST) if form.is_valid(): EKS_HOST = 'http://a8bdd5f7b96aa473ab24d95145037461-1710871681.ap-northeast-2.elb.amazonaws.com' STREAMING_HOST = 'http://a35f02dcb552449a3b4c0d0f708075b2-507238096.ap-northeast-2.elb.amazonaws.com:9000' STM_PATH = [ "/auth/login", "/auth/register", ] for i in STM_PATH: URL_ALL = STREAMING_HOST + str(i.split(',')).replace('[','').replace(']','').replace('\'','') response = requests.get(URL_ALL) health_check = response.status_code ,':', URL_ALL.split(',') print(health_check) WEB_HOOK_URL = 'http://apis.aligo.in/send/' headers = {'Content-type':'application/x-www-form-urlencoded'} data = { 'key' : 'ubkm32s9fllu6ui96cq7uegwdk0oxhnc', 'user_id' : 'dhdiagram', 'sender' : request.POST['sender'], 'receiver' : request.POST['receiver'], 'destination' : request.POST['sender']|request.POST['sender'], 'msg' : health_check, 'title' : request.POST['title'], 'rdate' : '20201011', 'rtime' : '1300', 'testmode_yn' : 'n' } requests.post(WEB_HOOK_URL, headers=headers, data=data) return render(request, 'pushEngine/send_success.html')
42.752941
118
0.54678
348
3,634
5.597701
0.298851
0.067762
0.052361
0.030801
0.822382
0.789528
0.789528
0.789528
0.789528
0.789528
0
0.069433
0.310402
3,634
84
119
43.261905
0.707901
0.018712
0
0.712329
0
0
0.263276
0.044394
0
0
0
0
0
1
0.041096
false
0
0.068493
0
0.178082
0.027397
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
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null
0
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0
0
0
0
0
0
0
0
0
0
0
7
79fba1fa5172499382bf19fd3d8feef8bf3ebafa
105
py
Python
tests/parser/anon_vars_in_plan_query.1.bk.test.py
veltri/DLV2
944aaef803aa75e7ec51d7e0c2b0d964687fdd0e
[ "Apache-2.0" ]
null
null
null
tests/parser/anon_vars_in_plan_query.1.bk.test.py
veltri/DLV2
944aaef803aa75e7ec51d7e0c2b0d964687fdd0e
[ "Apache-2.0" ]
null
null
null
tests/parser/anon_vars_in_plan_query.1.bk.test.py
veltri/DLV2
944aaef803aa75e7ec51d7e0c2b0d964687fdd0e
[ "Apache-2.0" ]
null
null
null
input = """ bk(a,b). bk(b,c). bk(m,m). bk(x,y). """ output = """ bk(a,b). bk(b,c). bk(m,m). bk(x,y). """
8.076923
12
0.409524
26
105
1.653846
0.346154
0.139535
0.186047
0.27907
0.744186
0.744186
0.744186
0.744186
0.744186
0.744186
0
0
0.152381
105
12
13
8.75
0.483146
0
0
0.833333
0
0
0.704762
0
0
0
0
0
0
1
0
false
0
0
0
0
0
1
0
1
null
0
1
1
0
1
1
1
1
1
0
0
0
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1
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1
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null
0
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0
0
0
0
0
0
0
0
0
12
0320a7a18797936d082b135c6fe7c7528e86dc57
22,034
py
Python
bombbomb/api/integrations_api.py
bombbomb/bombbomb-python-openapi
d1623cb06e58fdc83b04603a589e9d30e7eb3fdf
[ "Apache-2.0" ]
null
null
null
bombbomb/api/integrations_api.py
bombbomb/bombbomb-python-openapi
d1623cb06e58fdc83b04603a589e9d30e7eb3fdf
[ "Apache-2.0" ]
null
null
null
bombbomb/api/integrations_api.py
bombbomb/bombbomb-python-openapi
d1623cb06e58fdc83b04603a589e9d30e7eb3fdf
[ "Apache-2.0" ]
null
null
null
# coding: utf-8 """ BombBomb We make it easy to build relationships using simple videos. # noqa: E501 OpenAPI spec version: 2.0.831 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from bombbomb.api_client import ApiClient class IntegrationsApi(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def connect_integration(self, code, **kwargs): # noqa: E501 """Activate an integration for a user. # noqa: E501 Provide the correct parameters to enable an integration. Required Parameters vary based on the desired integration. Integrations requiring OAuth will provide the OAuth link that the user must be presented. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.connect_integration(code, async=True) >>> result = thread.get() :param async bool :param str code: The identifier of the integration. (required) :param str key: The key value. :param str secret: The secret value. :param str token: The token value. :param str data: The data value as JSON. :param str overwrite: Boolean value to know whether or not to delete the integration if it already exists :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.connect_integration_with_http_info(code, **kwargs) # noqa: E501 else: (data) = self.connect_integration_with_http_info(code, **kwargs) # noqa: E501 return data def connect_integration_with_http_info(self, code, **kwargs): # noqa: E501 """Activate an integration for a user. # noqa: E501 Provide the correct parameters to enable an integration. Required Parameters vary based on the desired integration. Integrations requiring OAuth will provide the OAuth link that the user must be presented. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.connect_integration_with_http_info(code, async=True) >>> result = thread.get() :param async bool :param str code: The identifier of the integration. (required) :param str key: The key value. :param str secret: The secret value. :param str token: The token value. :param str data: The data value as JSON. :param str overwrite: Boolean value to know whether or not to delete the integration if it already exists :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['code', 'key', 'secret', 'token', 'data', 'overwrite'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method connect_integration" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'code' is set if ('code' not in params or params['code'] is None): raise ValueError("Missing the required parameter `code` when calling `connect_integration`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} if 'code' in params: form_params.append(('code', params['code'])) # noqa: E501 if 'key' in params: form_params.append(('key', params['key'])) # noqa: E501 if 'secret' in params: form_params.append(('secret', params['secret'])) # noqa: E501 if 'token' in params: form_params.append(('token', params['token'])) # noqa: E501 if 'data' in params: form_params.append(('data', params['data'])) # noqa: E501 if 'overwrite' in params: form_params.append(('overwrite', params['overwrite'])) # noqa: E501 body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/x-www-form-urlencoded']) # noqa: E501 # Authentication setting auth_settings = ['BBOAuth2'] # noqa: E501 return self.api_client.call_api( '/integrations', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def delete_integration(self, **kwargs): # noqa: E501 """Remove an integration for a user. # noqa: E501 Remove an integration by providing the integration id or integration code. Only provide one of the parameters. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.delete_integration(async=True) >>> result = thread.get() :param async bool :param str id: Integration ID :param str code: Integration Code :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.delete_integration_with_http_info(**kwargs) # noqa: E501 else: (data) = self.delete_integration_with_http_info(**kwargs) # noqa: E501 return data def delete_integration_with_http_info(self, **kwargs): # noqa: E501 """Remove an integration for a user. # noqa: E501 Remove an integration by providing the integration id or integration code. Only provide one of the parameters. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.delete_integration_with_http_info(async=True) >>> result = thread.get() :param async bool :param str id: Integration ID :param str code: Integration Code :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'code'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_integration" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} if 'id' in params: form_params.append(('id', params['id'])) # noqa: E501 if 'code' in params: form_params.append(('code', params['code'])) # noqa: E501 body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/x-www-form-urlencoded']) # noqa: E501 # Authentication setting auth_settings = ['BBOAuth2'] # noqa: E501 return self.api_client.call_api( '/integrations', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_integration_health(self, code, **kwargs): # noqa: E501 """Get health for a given integration # noqa: E501 Get health for an integration. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.get_integration_health(code, async=True) >>> result = thread.get() :param async bool :param str code: The integration code for which to retrieve the information from (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.get_integration_health_with_http_info(code, **kwargs) # noqa: E501 else: (data) = self.get_integration_health_with_http_info(code, **kwargs) # noqa: E501 return data def get_integration_health_with_http_info(self, code, **kwargs): # noqa: E501 """Get health for a given integration # noqa: E501 Get health for an integration. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.get_integration_health_with_http_info(code, async=True) >>> result = thread.get() :param async bool :param str code: The integration code for which to retrieve the information from (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['code'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_integration_health" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'code' is set if ('code' not in params or params['code'] is None): raise ValueError("Missing the required parameter `code` when calling `get_integration_health`") # noqa: E501 collection_formats = {} path_params = {} if 'code' in params: path_params['code'] = params['code'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/x-www-form-urlencoded']) # noqa: E501 # Authentication setting auth_settings = ['BBOAuth2'] # noqa: E501 return self.api_client.call_api( '/integrations/health/{code}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_integration_page_components(self, integration_name, **kwargs): # noqa: E501 """Get page components for a given integration # noqa: E501 Get all page components for an integration. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.get_integration_page_components(integration_name, async=True) >>> result = thread.get() :param async bool :param str integration_name: The integration for which to retrieve HTML page components. (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.get_integration_page_components_with_http_info(integration_name, **kwargs) # noqa: E501 else: (data) = self.get_integration_page_components_with_http_info(integration_name, **kwargs) # noqa: E501 return data def get_integration_page_components_with_http_info(self, integration_name, **kwargs): # noqa: E501 """Get page components for a given integration # noqa: E501 Get all page components for an integration. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.get_integration_page_components_with_http_info(integration_name, async=True) >>> result = thread.get() :param async bool :param str integration_name: The integration for which to retrieve HTML page components. (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['integration_name'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_integration_page_components" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'integration_name' is set if ('integration_name' not in params or params['integration_name'] is None): raise ValueError("Missing the required parameter `integration_name` when calling `get_integration_page_components`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] if 'integration_name' in params: query_params.append(('integration_name', params['integration_name'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/x-www-form-urlencoded']) # noqa: E501 # Authentication setting auth_settings = ['BBOAuth2'] # noqa: E501 return self.api_client.call_api( '/integrations/pageComponents', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def sync_users_integrated_lists(self, **kwargs): # noqa: E501 """Synchronize your integration list or lists. # noqa: E501 Synchronize your integration contact list with the service you are integrated with. If no integration code is provided, all integrations will be synchronized. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.sync_users_integrated_lists(async=True) >>> result = thread.get() :param async bool :param str integration_id: The integration to sync lists for. All integrations will sync if nothing is provided. :return: str If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.sync_users_integrated_lists_with_http_info(**kwargs) # noqa: E501 else: (data) = self.sync_users_integrated_lists_with_http_info(**kwargs) # noqa: E501 return data def sync_users_integrated_lists_with_http_info(self, **kwargs): # noqa: E501 """Synchronize your integration list or lists. # noqa: E501 Synchronize your integration contact list with the service you are integrated with. If no integration code is provided, all integrations will be synchronized. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.sync_users_integrated_lists_with_http_info(async=True) >>> result = thread.get() :param async bool :param str integration_id: The integration to sync lists for. All integrations will sync if nothing is provided. :return: str If the method is called asynchronously, returns the request thread. """ all_params = ['integration_id'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method sync_users_integrated_lists" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'integration_id' in params: query_params.append(('integration_id', params['integration_id'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/x-www-form-urlencoded']) # noqa: E501 # Authentication setting auth_settings = ['BBOAuth2'] # noqa: E501 return self.api_client.call_api( '/integrations/sync', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='str', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats)
40.355311
236
0.61691
2,533
22,034
5.161469
0.08409
0.052012
0.021417
0.027536
0.928943
0.903396
0.894753
0.88328
0.866223
0.854367
0
0.017455
0.295362
22,034
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40.429358
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0.014035
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0
0
0
0
0
0
0
9
cef813cc27e17bb08d6cab2a2e4da49e79dc4c4a
143
py
Python
gym_kafka/util/__init__.py
constant-c/gym-kafka
32cb58a4a37acc9444ad8700d1c6ff124e8a98a8
[ "MIT" ]
null
null
null
gym_kafka/util/__init__.py
constant-c/gym-kafka
32cb58a4a37acc9444ad8700d1c6ff124e8a98a8
[ "MIT" ]
null
null
null
gym_kafka/util/__init__.py
constant-c/gym-kafka
32cb58a4a37acc9444ad8700d1c6ff124e8a98a8
[ "MIT" ]
1
2020-03-03T13:10:46.000Z
2020-03-03T13:10:46.000Z
from gym_kafka.util.gym_factory import GymFactory from gym_kafka.util.kafka_api import KafkaAPI, MSGStore from gym_kafka.util.parsers import *
35.75
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0.853147
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143
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0.307692
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1
0
1
0
1
0
0
7
88dfeeefab867540d180df5ca10ebcdf83e9a15c
72
py
Python
Term2/Session 12/3-while-loop.py
theseana/apondaone
7cbf3572a86c73220329804fee1f3d03842ae902
[ "MIT" ]
null
null
null
Term2/Session 12/3-while-loop.py
theseana/apondaone
7cbf3572a86c73220329804fee1f3d03842ae902
[ "MIT" ]
null
null
null
Term2/Session 12/3-while-loop.py
theseana/apondaone
7cbf3572a86c73220329804fee1f3d03842ae902
[ "MIT" ]
null
null
null
if True: print("It's IF!!!") while True: print("It's WHILE!!!")
14.4
26
0.527778
12
72
3.166667
0.5
0.473684
0.578947
0.631579
0
0
0
0
0
0
0
0
0.222222
72
5
26
14.4
0.678571
0
0
0
0
0
0.315068
0
0
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0
true
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0.5
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null
1
1
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null
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0
0
0
1
0
0
0
0
1
0
7
003772710e305465cb412e6b0aef197a5d4aa2f3
381
py
Python
Modulo_5/semana_1/rebanar/vs.py
AutodidactaMx/cocid_python
11628f465ff362807a692c79ede26bf30dd8e26a
[ "MIT" ]
null
null
null
Modulo_5/semana_1/rebanar/vs.py
AutodidactaMx/cocid_python
11628f465ff362807a692c79ede26bf30dd8e26a
[ "MIT" ]
null
null
null
Modulo_5/semana_1/rebanar/vs.py
AutodidactaMx/cocid_python
11628f465ff362807a692c79ede26bf30dd8e26a
[ "MIT" ]
1
2022-03-04T00:57:18.000Z
2022-03-04T00:57:18.000Z
import numpy as np a1 = np.array([[10, 11, 12, 13, 14], [15, 16, 17, 18, 19], [20, 21, 22, 23, 24], [25, 26, 27, 28, 29]]) print(a1[1,2:4]) # [17 18] a2 = np.array([[10, 11, 12, 13, 14], [15, 16, 17, 18, 19], [20, 21, 22, 23, 24], [25, 26, 27, 28, 29]]) print(a2[1:2,2:4]) # [[17 18]]
23.8125
37
0.372703
65
381
2.184615
0.476923
0.112676
0.126761
0.15493
0.732394
0.732394
0.732394
0.732394
0.732394
0.732394
0
0.432314
0.39895
381
15
38
25.4
0.187773
0.044619
0
0.545455
0
0
0
0
0
0
0
0
0
1
0
false
0
0.090909
0
0.090909
0.181818
0
0
0
null
0
0
0
0
1
1
1
1
1
0
1
0
0
0
0
0
1
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
cca15fa9652c77bb81c8b6a788b80f1216f1375d
71
py
Python
patch_classification/get_batches_from_image.py
annusgit/forestcoverUnet
8ba4eafc6e5d637d3b08fa20d029e25173f96074
[ "MIT" ]
25
2018-09-13T09:37:14.000Z
2021-12-07T07:12:56.000Z
patch_classification/get_batches_from_image.py
annusgit/forestcoverUnet
8ba4eafc6e5d637d3b08fa20d029e25173f96074
[ "MIT" ]
null
null
null
patch_classification/get_batches_from_image.py
annusgit/forestcoverUnet
8ba4eafc6e5d637d3b08fa20d029e25173f96074
[ "MIT" ]
6
2018-09-04T15:26:26.000Z
2021-09-14T12:42:43.000Z
from __future__ import print_function from __future__ import division
17.75
37
0.873239
9
71
5.888889
0.666667
0.377358
0.603774
0
0
0
0
0
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0
0
0
0.126761
71
4
38
17.75
0.854839
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true
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0
1
0
1
1
0
8
ccbd3044b4418ad8c5b61a9b861187c1d928483b
8,855
py
Python
bandipy/experiment.py
PenelopeCorsica/privacy-preserving-bandits
b62f99a0871698375b092a9c548b1fa0210bdbb2
[ "MIT" ]
19
2019-09-11T09:32:18.000Z
2022-01-31T14:50:28.000Z
bandipy/experiment.py
mmalekzadeh/privacy-preserving-bandits
3b1c797094ca73315ec0c950bdc9c3f7dc37500b
[ "MIT" ]
4
2020-11-13T18:37:33.000Z
2022-02-10T01:46:34.000Z
bandipy/experiment.py
PenelopeCorsica/privacy-preserving-bandits
b62f99a0871698375b092a9c548b1fa0210bdbb2
[ "MIT" ]
4
2019-10-04T11:25:59.000Z
2022-03-01T19:07:18.000Z
import numpy as np ###____________ Experiment Interface ____________### class Experiment(): def __init__(self, env, agent): self.env = env self.agent = agent self.con_act_rew_hist = list() self.cumulative_reward = 0.0 self.cumulative_regret = 0.0 def run_bandit(self, max_number_of_trials=1000): pass ###____________ RandomExperiment ____________### class RandomExperiment(Experiment): """ Experiment on synthesised random datasets with simple MAB algorithms """ def __init__(self, env, agent): Experiment.__init__(self, env, agent) def run_bandit(self, max_number_of_trials=1000): for t in range(max_number_of_trials): context = self.env.get_context() contex_code = 0 if self.env.context_space.context_type == "binary": contex_code = int("".join(str(x) for x in context), 2) action = self.agent.act(context, contex_code) reward = self.env.step(action, context) self.agent.feedback(action, reward, context) self.con_act_rew_hist.append([contex_code, action, reward]) self.cumulative_reward += reward gap = self.env.compute_gap(action) if action != self.env.reward_space.optimal_arm: self.cumulative_regret += gap hist = np.array(self.con_act_rew_hist) return hist ###____________ ExperimentOnData ____________### class ExperimentOnData(Experiment): """ Experiments on prepared datasets with contextual MAB algorithms """ def __init__(self, env, agent): Experiment.__init__(self, env, agent) def run_bandit(self, max_number_of_trials=1000, alph = 0.2, return_model = False): for t in range(max_number_of_trials): context = self.env.get_context(trial=t) action = self.agent.act(context) reward = self.env.step(action, context, trial=t) self.agent.feedback(context, action, reward) self.cumulative_reward += reward if reward == 0: self.cumulative_regret += 1 self.con_act_rew_hist.append([context, action, reward]) hist = np.array(self.con_act_rew_hist) return hist ###____________ ExperimentWithSampling ____________### class ExperimentWithSampling(Experiment): """ Experiments on prepared datasets with contextual MAB algorithms with data sharing """ def __init__(self, env, agent): Experiment.__init__(self, env, agent) self.shared_data = list() def run_bandit(self, number_of_trials, alpha, sampling_prob=0.0, neg_rew_sam_rate = 0.0): data_tuple_1 = list() data_tuple_0 = list() for t in range(number_of_trials): context = self.env.get_context(trial=t) action = self.agent.act(context, alpha) reward = self.env.step(action, context, trial=t) self.agent.feedback(context, action, reward) self.con_act_rew_hist.append([context, action, reward]) if reward == 1: data_tuple_1.append(np.concatenate((context, [action, reward]))) else: data_tuple_0.append(np.concatenate((context, [action, reward]))) # Sampling rnd_samp = np.random.rand() if rnd_samp < sampling_prob: rnd_neg = np.random.rand() if rnd_neg < neg_rew_sam_rate: if len(data_tuple_0) != 0: shared_indx = np.random.randint(len(data_tuple_0)) self.shared_data = [data_tuple_0[shared_indx]] else: if len(data_tuple_1) != 0: shared_indx = np.random.randint(len(data_tuple_1)) self.shared_data = [data_tuple_1[shared_indx]] elif len(data_tuple_0) != 0: shared_indx = np.random.randint(len(data_tuple_0)) self.shared_data = [data_tuple_0[shared_indx]] else: self.shared_data = [] def run_bandit_on_data(self, shared_contexts, shared_actions, shared_responses): for t in range(len(shared_contexts)): context = shared_contexts[t] action = shared_actions[t].astype(int) reward = shared_responses[t].astype(int) self.agent.feedback(context, action, reward) self.con_act_rew_hist.append([context, action, reward]) ###____________ ExperimentWithSampling ____________### class ExperimentWithSampling2(Experiment): """ Experiments on prepared datasets with contextual MAB algorithms with data sharing """ def __init__(self, env, agent): Experiment.__init__(self, env, agent) self.shared_data = list() def run_bandit(self, number_of_trials, alpha, sampling_prob=0.0, neg_rew_sam_rate = 0.0, private=True): data_tuple_1 = list() data_tuple_0 = list() for t in range(number_of_trials): context = self.env.get_context(trial=t) action = self.agent.act(context, alpha) reward = self.env.step(action, context, trial=t) self.agent.feedback(context, action, reward) self.con_act_rew_hist.append([context, action, reward]) if reward == 1: data_tuple_1.append(np.concatenate((context, [action, reward]))) else: data_tuple_0.append(np.concatenate((context, [action, reward]))) # Sampling if private: rnd_samp = np.random.rand() if rnd_samp < sampling_prob: rnd_neg = np.random.rand() if rnd_neg < neg_rew_sam_rate: if len(data_tuple_0) != 0: shared_indx = np.random.randint(len(data_tuple_0)) self.shared_data = [data_tuple_0[shared_indx]] else: if len(data_tuple_1) != 0: shared_indx = np.random.randint(len(data_tuple_1)) self.shared_data = [data_tuple_1[shared_indx]] elif len(data_tuple_0) != 0: shared_indx = np.random.randint(len(data_tuple_0)) self.shared_data = [data_tuple_0[shared_indx]] else: self.shared_data = [] else: if len(data_tuple_1) != 0: self.shared_data = data_tuple_1 elif len(data_tuple_0) != 0: shared_indx = (int)(len(data_tuple_0)/(len(data_tuple_0)*neg_rew_sam_rate)) if len(self.shared_data) != 0: self.shared_data = np.append(self.shared_data, data_tuple_0[::shared_indx], axis =0) else: self.shared_data = data_tuple_0[::shared_indx] def run_bandit_on_data(self, shared_contexts, shared_actions, shared_responses): for t in range(len(shared_contexts)): context = shared_contexts[t] action = shared_actions[t].astype(int) reward = shared_responses[t].astype(int) self.agent.feedback(context, action, reward) self.con_act_rew_hist.append([context, action, reward]) ###____________ ExperimentOnPrivateData ____________### class ExperimentOnPrivateData(Experiment): """ Experiments on prepared datasets with contextual MAB algorithms """ def __init__(self, env, agent): Experiment.__init__(self, env, agent) self.shared_data = list() def run_bandit(self, max_number_of_trials=1000, alph = 0.2, epsilon = 1., fed_rate = 10, return_model = False): fed = 0 for t in range(max_number_of_trials): context = self.env.get_context(trial=t) action = self.agent.act(context) reward = self.env.step(action, context, trial=t) self.agent.feedback(context, action, reward) ### Privacy ### if reward == 1 and fed%fed_rate==0: #noise = np.random.laplace(0, 1./((t+1)*epsilon), 1) #context += noise #context = np.clip(context, 0, 1) self.shared_data.append(np.concatenate((context, [action]))) fed += 1 elif reward == 1: fed += 1 ### Privacy ### self.cumulative_reward += reward if reward == 0: self.cumulative_regret += 1 self.con_act_rew_hist.append([context, action, reward]) hist = np.array(self.con_act_rew_hist) return hist
38.837719
107
0.58227
1,031
8,855
4.586809
0.107662
0.062804
0.044407
0.037217
0.80757
0.786847
0.758723
0.754494
0.734193
0.726369
0
0.016377
0.317335
8,855
227
108
39.008811
0.765922
0.08786
0
0.746835
0
0
0.000755
0
0
0
0
0
0
1
0.088608
false
0.006329
0.006329
0
0.151899
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
ccc552fd874deb45adce2de0012c8df36e122205
217
py
Python
docs/multiple-tests/capitalized/src/example.py
codacy/codacy-prospector
85272adaf8022c0270ddaa826433343bc53e1376
[ "Apache-2.0" ]
null
null
null
docs/multiple-tests/capitalized/src/example.py
codacy/codacy-prospector
85272adaf8022c0270ddaa826433343bc53e1376
[ "Apache-2.0" ]
41
2019-12-18T07:17:52.000Z
2022-03-25T06:13:16.000Z
docs/multiple-tests/capitalized/src/example.py
codacy/codacy-prospector
85272adaf8022c0270ddaa826433343bc53e1376
[ "Apache-2.0" ]
null
null
null
def non_capitalized(): """ compute the MACD (Moving Average Convergence/Divergence) using ... """ def capitalized(): """ Compute the MACD (Moving Average Convergence/Divergence) using ... """
21.7
70
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12
aeed02724e7122b4082f0783a3b2fb1e9f967641
4,181
py
Python
worldloader/example_empty_world/worlddata/models.py
luyijun/evennia_worldloader
79f3618a12265101ef5ff8c9182780874cfeb534
[ "BSD-3-Clause" ]
1
2016-04-03T02:26:21.000Z
2016-04-03T02:26:21.000Z
worldloader/example_empty_world/worlddata/models.py
luyijun/evennia_worldloader
79f3618a12265101ef5ff8c9182780874cfeb534
[ "BSD-3-Clause" ]
null
null
null
worldloader/example_empty_world/worlddata/models.py
luyijun/evennia_worldloader
79f3618a12265101ef5ff8c9182780874cfeb534
[ "BSD-3-Clause" ]
null
null
null
from django.db import models #------------------------------------------------------------ # # store all rooms # #------------------------------------------------------------ class world_rooms(models.Model): "Store all unique rooms." key = models.CharField(max_length=255, primary_key=True) name = models.CharField(max_length=255) alias = models.CharField(max_length=255, blank=True) typeclass = models.CharField(max_length=255) desc = models.TextField(blank=True) location = models.CharField(max_length=255, blank=True) home = models.CharField(max_length=255, blank=True) lock = models.CharField(max_length=255, blank=True) attributes = models.TextField(blank=True) destination = models.CharField(max_length=255, blank=True) class Meta: "Define Django meta options" verbose_name = "World Room List" verbose_name_plural = "World Room List" #------------------------------------------------------------ # # store all exits # #------------------------------------------------------------ class world_exits(models.Model): "Store all unique exits." key = models.CharField(max_length=255, primary_key=True) name = models.CharField(max_length=255) alias = models.CharField(max_length=255, blank=True) typeclass = models.CharField(max_length=255) desc = models.TextField(blank=True) location = models.CharField(max_length=255, blank=True) home = models.CharField(max_length=255, blank=True) lock = models.CharField(max_length=255, blank=True) attributes = models.TextField(blank=True) destination = models.CharField(max_length=255, blank=True) class Meta: "Define Django meta options" verbose_name = "World Exit List" verbose_name_plural = "World Exit List" #------------------------------------------------------------ # # store all objects # #------------------------------------------------------------ class world_objects(models.Model): "Store all unique objects." key = models.CharField(max_length=255, primary_key=True) name = models.CharField(max_length=255) alias = models.CharField(max_length=255, blank=True) typeclass = models.CharField(max_length=255) desc = models.TextField(blank=True) location = models.CharField(max_length=255, blank=True) home = models.CharField(max_length=255, blank=True) lock = models.CharField(max_length=255, blank=True) attributes = models.TextField(blank=True) destination = models.CharField(max_length=255, blank=True) class Meta: "Define Django meta options" verbose_name = "World Object List" verbose_name_plural = "World Object List" #------------------------------------------------------------ # # store all details # #------------------------------------------------------------ class world_details(models.Model): "Store all details." key = models.CharField(max_length=255, primary_key=True) name = models.CharField(max_length=255) desc = models.TextField(blank=True) location = models.CharField(max_length=255, blank=True) class Meta: "Define Django meta options" verbose_name = "World Detail List" verbose_name_plural = "World Detail List" #------------------------------------------------------------ # # store all personal objects # #------------------------------------------------------------ class personal_objects(models.Model): "Store all personal objects." key = models.CharField(max_length=255, primary_key=True) name = models.CharField(max_length=255) alias = models.CharField(max_length=255, blank=True) typeclass = models.CharField(max_length=255) desc = models.TextField(blank=True) location = models.CharField(max_length=255, blank=True) home = models.CharField(max_length=255, blank=True) lock = models.CharField(max_length=255, blank=True) attributes = models.TextField(blank=True) destination = models.CharField(max_length=255, blank=True) class Meta: "Define Django meta options" verbose_name = "Personal Object List" verbose_name_plural = "Personal Object List"
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11
4e0a44e04b805f97109641170c79a3ab55bb8a45
5,529
py
Python
tests/test_password_hasher.py
ethanwtai/ukbrest
c7303e57659ed787f002d2a53a54ca3a3f631a9b
[ "MIT" ]
34
2018-04-17T03:02:38.000Z
2022-03-22T18:38:46.000Z
tests/test_password_hasher.py
ethanwtai/ukbrest
c7303e57659ed787f002d2a53a54ca3a3f631a9b
[ "MIT" ]
7
2019-08-07T10:46:34.000Z
2021-06-23T13:30:59.000Z
tests/test_password_hasher.py
ethanwtai/ukbrest
c7303e57659ed787f002d2a53a54ca3a3f631a9b
[ "MIT" ]
16
2018-08-26T08:08:05.000Z
2021-09-08T22:30:06.000Z
import os import unittest from shutil import copyfile from ruamel.yaml import YAML from ukbrest.common.utils.auth import PasswordHasher from tests.utils import get_repository_path class WSGIFunctions(unittest.TestCase): def load_data(self, filepath): yaml = YAML() with open(filepath, 'r') as f: return yaml.load(f) def test_process_users_file_test00(self): # prepare orig_user_file = get_repository_path('wsgi/test00/users.txt') users_file = orig_user_file + '.bak' copyfile(orig_user_file, users_file) orig_users = self.load_data(orig_user_file) # run ph = PasswordHasher(users_file, method='pbkdf2:sha256') ph.process_users_file() # evaluate assert os.path.isfile(users_file) users = self.load_data(users_file) assert len(users) == 3 for user, password in users.items(): assert user in orig_users.keys(), user assert password != orig_users[user], password + ' / ' + orig_users[user] assert 90 < len(password) < 96, (len(password), password) os.remove(users_file) def test_process_users_file_file_does_not_exist_test00(self): # prepare users_file = get_repository_path('no/existing/file/here.txt') # run ph = PasswordHasher(users_file, method='pbkdf2:sha256') ph.process_users_file() def test_process_users_file_already_hashed_test00(self): # prepare orig_user_file = get_repository_path('wsgi/test00/users.txt') users_file = orig_user_file + '.bak' copyfile(orig_user_file, users_file) orig_users = self.load_data(orig_user_file) ph = PasswordHasher(users_file, method='pbkdf2:sha256') ph.process_users_file() users = self.load_data(users_file) # run ph = PasswordHasher(users_file, method='pbkdf2:sha256') ph.process_users_file() # evaluate assert os.path.isfile(users_file) new_users = self.load_data(users_file) assert len(users) == 3 for user, password in new_users.items(): assert user in orig_users.keys(), user assert password == users[user], password + ' / ' + users[user] assert 90 < len(password) < 96, (len(password), password) os.remove(users_file) def test_process_users_file_one_password_hashed_rest_not_test01(self): # prepare orig_user_file = get_repository_path('wsgi/test01/users.txt') users_file = orig_user_file + '.bak' copyfile(orig_user_file, users_file) orig_users = self.load_data(orig_user_file) # run ph = PasswordHasher(users_file, method='pbkdf2:sha256') ph.process_users_file() # evaluate assert os.path.isfile(users_file) users = self.load_data(users_file) assert len(users) == 3 for user, password in users.items(): assert user in orig_users.keys(), user if user != 'adams': assert password != orig_users[user], user + ' / ' + password + ' / ' + orig_users[user] else: assert password == users[user], user + password + ' / ' + users[user] assert 90 < len(password) < 96, (len(password), password) os.remove(users_file) def test_verify_password_test01(self): # prepare orig_user_file = get_repository_path('wsgi/test01/users.txt') users_file = orig_user_file + '.bak' copyfile(orig_user_file, users_file) ph = PasswordHasher(users_file, method='pbkdf2:sha256') ph.process_users_file() # evaluate assert os.path.isfile(users_file) assert not ph.verify_password('milton', 'whatever') assert ph.verify_password('john', 'mypassword') assert ph.verify_password('adams', 'anotherpassword') assert ph.verify_password('james', 'mypassword') os.remove(users_file) def test_verify_password_users_file_does_not_exist_test01(self): # prepare users_file = get_repository_path('no/existing/file/here.txt') ph = PasswordHasher(users_file, method='pbkdf2:sha256') ph.process_users_file() # evaluate assert not ph.verify_password('milton', 'whatever') assert not ph.verify_password('john', 'mypassword') assert not ph.verify_password('adams', 'anotherpassword') assert not ph.verify_password('james', 'mypassword') def test_verify_password_users_file_empty_test01(self): # prepare orig_user_file = get_repository_path('wsgi/test02/users.txt') users_file = orig_user_file + '.bak' ph = PasswordHasher(users_file, method='pbkdf2:sha256') ph.process_users_file() # evaluate assert not ph.verify_password('milton', 'whatever') assert not ph.verify_password('john', 'mypassword') assert not ph.verify_password('adams', 'anotherpassword') assert not ph.verify_password('james', 'mypassword') def test_verify_password_users_file_none_test01(self): # prepare ph = PasswordHasher(None, method='pbkdf2:sha256') ph.process_users_file() # evaluate assert ph.verify_password('milton', 'whatever') assert ph.verify_password('john', 'mypassword') assert ph.verify_password('adams', 'anotherpassword') assert ph.verify_password('james', 'mypassword')
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5,529
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0.088235
false
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0
0
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0
0
0
0
0
8
9da43d1fd70f000fb20a9fced0ffebc5bd45e8ad
3,531
py
Python
tests/integration/cartography/intel/azure/test_tag.py
Cloudanix/cartography
653d3cccbb9318e876fd558d386593e3612f4f78
[ "Apache-2.0" ]
null
null
null
tests/integration/cartography/intel/azure/test_tag.py
Cloudanix/cartography
653d3cccbb9318e876fd558d386593e3612f4f78
[ "Apache-2.0" ]
11
2020-12-21T02:51:11.000Z
2022-03-15T14:30:43.000Z
tests/integration/cartography/intel/azure/test_tag.py
Cloudanix/cartography
653d3cccbb9318e876fd558d386593e3612f4f78
[ "Apache-2.0" ]
1
2021-02-05T08:08:47.000Z
2021-02-05T08:08:47.000Z
from cartography.intel.azure import tag from tests.data.azure.tag import DESCRIBE_RESOURCE_GROUPS from tests.data.azure.tag import DESCRIBE_TAGS TEST_SUBSCRIPTION_ID = '00-00-00-00' TEST_UPDATE_TAG = 123456789 def test_load_resource_groups(neo4j_session): tag.load_resource_groups( neo4j_session, TEST_SUBSCRIPTION_ID, DESCRIBE_RESOURCE_GROUPS, TEST_UPDATE_TAG, ) expected_nodes = { "/subscriptions/00-00-00-00/resourceGroups/TestRG", "/subscriptions/00-00-00-00/resourceGroups/TestRG1", } nodes = neo4j_session.run( """ MATCH (r:AzureResourceGroup) RETURN r.id; """, ) actual_nodes = {n['r.id'] for n in nodes} assert actual_nodes == expected_nodes def test_load_resource_group_relationships(neo4j_session): neo4j_session.run( """ MERGE (as:AzureSubscription{id: {subscription_id}}) ON CREATE SET as.firstseen = timestamp() SET as.lastupdated = {update_tag} """, subscription_id=TEST_SUBSCRIPTION_ID, update_tag=TEST_UPDATE_TAG, ) tag.load_resource_groups( neo4j_session, TEST_SUBSCRIPTION_ID, DESCRIBE_RESOURCE_GROUPS, TEST_UPDATE_TAG, ) expected = { ( TEST_SUBSCRIPTION_ID, "/subscriptions/00-00-00-00/resourceGroups/TestRG", ), ( TEST_SUBSCRIPTION_ID, "/subscriptions/00-00-00-00/resourceGroups/TestRG1", ), } result = neo4j_session.run( """ MATCH (n1:AzureSubscription)-[:RESOURCE]->(n2:AzureResourceGroup) RETURN n1.id, n2.id; """, ) actual = {(r['n1.id'], r['n2.id']) for r in result} assert actual == expected def test_load_tags(neo4j_session): tag.load_tags( neo4j_session, DESCRIBE_TAGS, TEST_UPDATE_TAG, ) expected_nodes = { "/subscriptions/00-00-00-00/resourceGroups/TestRG/providers/Microsoft.Resources/tags/tag1", "/subscriptions/00-00-00-00/resourceGroups/TestRG1/providers/Microsoft.Resources/tags/tag2", } nodes = neo4j_session.run( """ MATCH (r:AzureTag) RETURN r.id; """, ) actual_nodes = {n['r.id'] for n in nodes} assert actual_nodes == expected_nodes def test_load_tags_relationships(neo4j_session): neo4j_session.run( """ MERGE (as:AzureSubscription{id: {subscription_id}}) ON CREATE SET as.firstseen = timestamp() SET as.lastupdated = {update_tag} """, subscription_id=TEST_SUBSCRIPTION_ID, update_tag=TEST_UPDATE_TAG, ) tag.load_resource_groups( neo4j_session, TEST_SUBSCRIPTION_ID, DESCRIBE_RESOURCE_GROUPS, TEST_UPDATE_TAG, ) tag.load_tags( neo4j_session, DESCRIBE_TAGS, TEST_UPDATE_TAG, ) expected = { ( "/subscriptions/00-00-00-00/resourceGroups/TestRG", "/subscriptions/00-00-00-00/resourceGroups/TestRG/providers/Microsoft.Resources/tags/tag1", ), ( "/subscriptions/00-00-00-00/resourceGroups/TestRG1", "/subscriptions/00-00-00-00/resourceGroups/TestRG1/providers/Microsoft.Resources/tags/tag2", ), } result = neo4j_session.run( """ MATCH (n1:AzureResourceGroup)-[:TAGGED]->(n2:AzureTag) RETURN n1.id, n2.id; """, ) actual = {(r['n1.id'], r['n2.id']) for r in result} assert actual == expected
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0.043956
false
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0
0
0
0
7
9daf3da1b961a63a63a100f5278e1e30074a67db
42
py
Python
mcp2515/__init__.py
JonETJakobsson/mcp2515-micropython
25cc375f49d8938dd1010e7c91b9bbb763067e12
[ "MIT" ]
null
null
null
mcp2515/__init__.py
JonETJakobsson/mcp2515-micropython
25cc375f49d8938dd1010e7c91b9bbb763067e12
[ "MIT" ]
null
null
null
mcp2515/__init__.py
JonETJakobsson/mcp2515-micropython
25cc375f49d8938dd1010e7c91b9bbb763067e12
[ "MIT" ]
null
null
null
from . import can from . import address
14
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0.714286
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1
0
1
0
0
7
9dc4f886184611b36238b95dae66a2c915b4ca04
187
py
Python
tests/parser/functions.3.test.py
veltri/DLV2
944aaef803aa75e7ec51d7e0c2b0d964687fdd0e
[ "Apache-2.0" ]
null
null
null
tests/parser/functions.3.test.py
veltri/DLV2
944aaef803aa75e7ec51d7e0c2b0d964687fdd0e
[ "Apache-2.0" ]
null
null
null
tests/parser/functions.3.test.py
veltri/DLV2
944aaef803aa75e7ec51d7e0c2b0d964687fdd0e
[ "Apache-2.0" ]
null
null
null
input = """ ok(X) :- p(f(X)), q(f(X)). q(X) :- p(X). p(f(a)). p(f(b,a)). p(g(c)). """ output = """ ok(X) :- p(f(X)), q(f(X)). q(X) :- p(X). p(f(a)). p(f(b,a)). p(g(c)). """
11
27
0.304813
46
187
1.23913
0.23913
0.210526
0.210526
0.175439
0.807018
0.807018
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0.807018
0.807018
0.807018
0
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0.224599
187
16
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11.6875
0.393103
0
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0.857143
0
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0
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false
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0
0
0
0
0
0
0
0
13
9dfb9aa57da5685792d998c9a67307a52530075f
25,705
py
Python
sandbox/lib/jumpscale/JumpscaleLibs/clients/goldchain/tests/14_atomicswap_redeem.py
threefoldtech/threebot_prebuilt
1f0e1c65c14cef079cd80f73927d7c8318755c48
[ "Apache-2.0" ]
null
null
null
sandbox/lib/jumpscale/JumpscaleLibs/clients/goldchain/tests/14_atomicswap_redeem.py
threefoldtech/threebot_prebuilt
1f0e1c65c14cef079cd80f73927d7c8318755c48
[ "Apache-2.0" ]
null
null
null
sandbox/lib/jumpscale/JumpscaleLibs/clients/goldchain/tests/14_atomicswap_redeem.py
threefoldtech/threebot_prebuilt
1f0e1c65c14cef079cd80f73927d7c8318755c48
[ "Apache-2.0" ]
null
null
null
from Jumpscale import j import pytest from JumpscaleLibs.clients.goldchain.stub.ExplorerClientStub import GoldChainExplorerGetClientStub from JumpscaleLibs.clients.goldchain.test_utils import cleanup def main(self): """ to run: kosmos 'j.clients.goldchain.test(name="atomicswap_redeem")' """ cleanup("testnet_unittest_client") # create a goldchain client for devnet c = j.clients.goldchain.new("testnet_unittest_client", network_type="DEV") # (we replace internal client logic with custom logic as to ensure we can test without requiring an active network) explorer_client = GoldChainExplorerGetClientStub() # add the blockchain info explorer_client.chain_info = '{"blockid":"5c180121d6dbbbc8480ee63d58933a4e0d9eae664c0b8662c3ef81102c3fe82c","difficulty":"23546","estimatedactivebs":"146","height":17384,"maturitytimestamp":1549705634,"target":[0,2,200,131,232,66,109,128,132,97,252,155,147,77,241,96,113,131,22,176,230,53,191,80,170,156,189,0,160,84,41,168],"totalcoins":"0","arbitrarydatatotalsize":4351,"minerpayoutcount":17470,"transactioncount":18011,"coininputcount":637,"coinoutputcount":1231,"blockstakeinputcount":17384,"blockstakeoutputcount":17385,"minerfeecount":626,"arbitrarydatacount":573}' explorer_client.hash_add( "5c180121d6dbbbc8480ee63d58933a4e0d9eae664c0b8662c3ef81102c3fe82c", '{"hashtype":"blockid","block":{"minerpayoutids":["c8f3f82e4c5be07c667f140456e188336dc5c86319260ad9964c1b2a553d7031"],"transactions":[{"id":"9d8823855c59ac903238849e2f31600a9bec2c27d36071402815046dbf8000e7","height":17384,"parent":"5c180121d6dbbbc8480ee63d58933a4e0d9eae664c0b8662c3ef81102c3fe82c","rawtransaction":{"version":1,"data":{"coininputs":null,"blockstakeinputs":[{"parentid":"7c111a656be26b42215d13df330aa46c30d9f84d8b47ca5f41c4a5a1f89c782d","fulfillment":{"type":1,"data":{"publickey":"ed25519:d285f92d6d449d9abb27f4c6cf82713cec0696d62b8c123f1627e054dc6d7780","signature":"8de764af61c2e404f246482a70e29881929a71e4644a4c6f3a620889b1339a3eb789b0e2b5dad4ba26d1862bbee3a62a6f42be8106867722488aed352b414d00"}}}],"blockstakeoutputs":[{"value":"3000","condition":{"type":1,"data":{"unlockhash":"015a080a9259b9d4aaa550e2156f49b1a79a64c7ea463d810d4493e8242e6791584fbdac553e6f"}}}],"minerfees":null}},"coininputoutputs":null,"coinoutputids":null,"coinoutputunlockhashes":null,"blockstakeinputoutputs":[{"value":"3000","condition":{"type":1,"data":{"unlockhash":"015a080a9259b9d4aaa550e2156f49b1a79a64c7ea463d810d4493e8242e6791584fbdac553e6f"}},"unlockhash":"015a080a9259b9d4aaa550e2156f49b1a79a64c7ea463d810d4493e8242e6791584fbdac553e6f"}],"blockstakeoutputids":["be4408fecfa7fb88831d6ff1ff2d32377c25ac6cdafcdec1a16644ef3540d0ea"],"blockstakeunlockhashes":["015a080a9259b9d4aaa550e2156f49b1a79a64c7ea463d810d4493e8242e6791584fbdac553e6f"],"unconfirmed":false}],"rawblock":{"parentid":"d329ebc493b75521db55b6595a7bfcbe5c1f94eb0ab1f7646bf39a42a8f7dddf","timestamp":1549705757,"pobsindexes":{"BlockHeight":17383,"TransactionIndex":0,"OutputIndex":0},"minerpayouts":[{"value":"10000000000","unlockhash":"015a080a9259b9d4aaa550e2156f49b1a79a64c7ea463d810d4493e8242e6791584fbdac553e6f"}],"transactions":[{"version":1,"data":{"coininputs":null,"blockstakeinputs":[{"parentid":"7c111a656be26b42215d13df330aa46c30d9f84d8b47ca5f41c4a5a1f89c782d","fulfillment":{"type":1,"data":{"publickey":"ed25519:d285f92d6d449d9abb27f4c6cf82713cec0696d62b8c123f1627e054dc6d7780","signature":"8de764af61c2e404f246482a70e29881929a71e4644a4c6f3a620889b1339a3eb789b0e2b5dad4ba26d1862bbee3a62a6f42be8106867722488aed352b414d00"}}}],"blockstakeoutputs":[{"value":"3000","condition":{"type":1,"data":{"unlockhash":"015a080a9259b9d4aaa550e2156f49b1a79a64c7ea463d810d4493e8242e6791584fbdac553e6f"}}}],"minerfees":null}}]},"blockid":"5c180121d6dbbbc8480ee63d58933a4e0d9eae664c0b8662c3ef81102c3fe82c","difficulty":"23546","estimatedactivebs":"146","height":17384,"maturitytimestamp":1549705634,"target":[0,2,200,131,232,66,109,128,132,97,252,155,147,77,241,96,113,131,22,176,230,53,191,80,170,156,189,0,160,84,41,168],"totalcoins":"0","arbitrarydatatotalsize":4351,"minerpayoutcount":17470,"transactioncount":18011,"coininputcount":637,"coinoutputcount":1231,"blockstakeinputcount":17384,"blockstakeoutputcount":17385,"minerfeecount":626,"arbitrarydatacount":573},"blocks":null,"transaction":{"id":"0000000000000000000000000000000000000000000000000000000000000000","height":0,"parent":"0000000000000000000000000000000000000000000000000000000000000000","rawtransaction":{"version":0,"data":{"coininputs":[],"minerfees":null}},"coininputoutputs":null,"coinoutputids":null,"coinoutputunlockhashes":null,"blockstakeinputoutputs":null,"blockstakeoutputids":null,"blockstakeunlockhashes":null,"unconfirmed":false},"transactions":null,"multisigaddresses":null,"unconfirmed":false}', ) # add the coin output info of the submitted atomic swap contract explorer_client.hash_add( "dd1babcbab492c742983b887a7408742ad0054ec8586541dd6ee6202877cb486", '{"hashtype":"coinoutputid","block":{"minerpayoutids":null,"transactions":null,"rawblock":{"parentid":"0000000000000000000000000000000000000000000000000000000000000000","timestamp":0,"pobsindexes":{"BlockHeight":0,"TransactionIndex":0,"OutputIndex":0},"minerpayouts":null,"transactions":null},"blockid":"0000000000000000000000000000000000000000000000000000000000000000","difficulty":"0","estimatedactivebs":"0","height":0,"maturitytimestamp":0,"target":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"totalcoins":"0","arbitrarydatatotalsize":0,"minerpayoutcount":0,"transactioncount":0,"coininputcount":0,"coinoutputcount":0,"blockstakeinputcount":0,"blockstakeoutputcount":0,"minerfeecount":0,"arbitrarydatacount":0},"blocks":null,"transaction":{"id":"0000000000000000000000000000000000000000000000000000000000000000","height":0,"parent":"0000000000000000000000000000000000000000000000000000000000000000","rawtransaction":{"version":0,"data":{"coininputs":[],"minerfees":null}},"coininputoutputs":null,"coinoutputids":null,"coinoutputunlockhashes":null,"blockstakeinputoutputs":null,"blockstakeoutputids":null,"blockstakeunlockhashes":null,"unconfirmed":false},"transactions":[{"id":"fd583a124677a3ea7ed7981d008ca79bd9f93cedbee97af2bcfd28b3f31093cc","height":17383,"parent":"d329ebc493b75521db55b6595a7bfcbe5c1f94eb0ab1f7646bf39a42a8f7dddf","rawtransaction":{"version":1,"data":{"coininputs":[{"parentid":"8c8dbd70c6eb2d5d181aa5ae430f2cc86e038b92e45dd6f6d5a28400efad4511","fulfillment":{"type":1,"data":{"publickey":"ed25519:cf87843f9c9014700eaa2dc28a80e4a54587d8cca0baa717805ce117cecd9bb4","signature":"b9ce44b1e0f9e3fae9f21111ddc08333f6ba32675fc971893f6ab7ca3e5ab664883794fd3a35aef59ba54242d9be92fbcf65cefb5eede3709dd57226203b6601"}}}],"coinoutputs":[{"value":"50000000000","condition":{"type":2,"data":{"sender":"01b73c4e869b6167abe6180ebe7a907f56e0357b4a2f65eb53d22baad84650eb62fce66ba036d0","receiver":"01b73c4e869b6167abe6180ebe7a907f56e0357b4a2f65eb53d22baad84650eb62fce66ba036d0","hashedsecret":"e24b6b609b351a958982ba91de7624d3503f428620f5586fbea1f71807b545c1","timelock":1549878527}}},{"value":"99994136000000000","condition":{"type":1,"data":{"unlockhash":"017cb06fa6f44828617b92603e95171044d9dc7c4966ffa0d8f6f97171558735974e7ecc623ff7"}}}],"minerfees":["1000000000"]}},"coininputoutputs":[{"value":"99994187000000000","condition":{"type":1,"data":{"unlockhash":"0183841ae8952a2ba72db0d6fce6208df70f2a936ee589ff852e06b20af48b40489572b1a69b2a"}},"unlockhash":"0183841ae8952a2ba72db0d6fce6208df70f2a936ee589ff852e06b20af48b40489572b1a69b2a"}],"coinoutputids":["dd1babcbab492c742983b887a7408742ad0054ec8586541dd6ee6202877cb486","75bbe54aca26d5a5afbc442c0e033a3ad18efa1e130f0776a9e4b68cdbe24fb7"],"coinoutputunlockhashes":["02f6d25603d232512ade46cdec3160301d8bd4880f2d4e8e20f54aff24f94dac5792ab1b325c3d","017cb06fa6f44828617b92603e95171044d9dc7c4966ffa0d8f6f97171558735974e7ecc623ff7"],"blockstakeinputoutputs":null,"blockstakeoutputids":null,"blockstakeunlockhashes":null,"unconfirmed":false}],"multisigaddresses":null,"unconfirmed":false}', ) # override internal functionality, as to use our stub client c._explorer_get = explorer_client.explorer_get c._explorer_post = explorer_client.explorer_post # a wallet is required to redeem a contract w = c.wallets.new( "mytestwallet", seed="remain solar kangaroo welcome clean object friend later bounce strong ship lift hamster afraid you super dolphin warm emotion curve smooth kiss stem diet", ) # balance should be 0 at this point assert w.balance.available == "0 GFT" # if the output identifier is wrong, the redemption will fail with pytest.raises(j.clients.goldchain.errors.AtomicSwapContractNotFound): w.atomicswap.redeem( "dd1babcbab492c742983b887a7408742ad0054ec8586541dd6ee6202877cb483", secret="f68d8b238c193bc6765b8e355c53e4f574a2c9da458e55d4402edca621e53756", ) # if the secret is wrong, the redemption will fail as well with pytest.raises(j.clients.goldchain.errors.AtomicSwapInvalidSecret): w.atomicswap.redeem( "dd1babcbab492c742983b887a7408742ad0054ec8586541dd6ee6202877cb486", secret="f68d8b238c193bc6765b8e355c53e4f574a2c9da458e55d4402edca621e53754", ) # if not authorized, redemption will also fail fw = c.wallets.new("foobar") with pytest.raises(j.clients.goldchain.errors.AtomicSwapForbidden): fw.atomicswap.redeem( "dd1babcbab492c742983b887a7408742ad0054ec8586541dd6ee6202877cb486", secret="f68d8b238c193bc6765b8e355c53e4f574a2c9da458e55d4402edca621e53756", ) # once you know the secret, and you are authorized to receive the contract, # you can redeem the atomic swap contract as follows: w.atomicswap.redeem( "dd1babcbab492c742983b887a7408742ad0054ec8586541dd6ee6202877cb486", secret="f68d8b238c193bc6765b8e355c53e4f574a2c9da458e55d4402edca621e53756", ) # once it becomes registered on the chain explorer_client.hash_add( "01b73c4e869b6167abe6180ebe7a907f56e0357b4a2f65eb53d22baad84650eb62fce66ba036d0", '{"hashtype":"unlockhash","block":{"minerpayoutids":null,"transactions":null,"rawblock":{"parentid":"0000000000000000000000000000000000000000000000000000000000000000","timestamp":0,"pobsindexes":{"BlockHeight":0,"TransactionIndex":0,"OutputIndex":0},"minerpayouts":null,"transactions":null},"blockid":"0000000000000000000000000000000000000000000000000000000000000000","difficulty":"0","estimatedactivebs":"0","height":0,"maturitytimestamp":0,"target":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"totalcoins":"0","arbitrarydatatotalsize":0,"minerpayoutcount":0,"transactioncount":0,"coininputcount":0,"coinoutputcount":0,"blockstakeinputcount":0,"blockstakeoutputcount":0,"minerfeecount":0,"arbitrarydatacount":0},"blocks":null,"transaction":{"id":"0000000000000000000000000000000000000000000000000000000000000000","height":0,"parent":"0000000000000000000000000000000000000000000000000000000000000000","rawtransaction":{"version":0,"data":{"coininputs":[],"minerfees":null}},"coininputoutputs":null,"coinoutputids":null,"coinoutputunlockhashes":null,"blockstakeinputoutputs":null,"blockstakeoutputids":null,"blockstakeunlockhashes":null,"unconfirmed":false},"transactions":[{"id":"4a7ac7930379675c82d0462a86e6d6f4018bdb2bdabaf49f4c177b8de19b4e7c","height":16930,"parent":"c25f345403080b8372a38f66608aa5a2287bdc61b82efe5ee6503ce85e8bcd35","rawtransaction":{"version":1,"data":{"coininputs":[{"parentid":"753aaeaa0c9e6c9f1f8da1974c83d8ca067ad536f464a2e2fc038bbd0404d084","fulfillment":{"type":1,"data":{"publickey":"ed25519:e4f55bc46b5feb37c03a0faa2d624a9ee1d0deb5059aaa9625d8b4f60f29bcab","signature":"b5081e41797f53233c727c344698400a73f2cdd364e241df915df413d3eeafb425ce9b51de3731bcbf830c399a706f4d24ae7066f947a4a36ae1b25415bcde00"}}}],"coinoutputs":[{"value":"50000000000","condition":{"type":2,"data":{"sender":"01b73c4e869b6167abe6180ebe7a907f56e0357b4a2f65eb53d22baad84650eb62fce66ba036d0","receiver":"01746b199781ea316a44183726f81e0734d93e7cefc18e9a913989821100aafa33e6eb7343fa8c","hashedsecret":"4163d4b31a1708cd3bb95a0a8117417bdde69fd1132909f92a8ec1e3fe2ccdba","timelock":1549736249}}}],"minerfees":["1000000000"]}},"coininputoutputs":[{"value":"51000000000","condition":{"type":1,"data":{"unlockhash":"01b73c4e869b6167abe6180ebe7a907f56e0357b4a2f65eb53d22baad84650eb62fce66ba036d0"}},"unlockhash":"01b73c4e869b6167abe6180ebe7a907f56e0357b4a2f65eb53d22baad84650eb62fce66ba036d0"}],"coinoutputids":["023b1c17a01945573933e62ca7a1297057681622aaea52c4c4e198077a263890"],"coinoutputunlockhashes":["02fb27c67c373c2f30611e0b98bf92ed6e6eb0a69b471457b282903945180cd5c5b8068731f767"],"blockstakeinputoutputs":null,"blockstakeoutputids":null,"blockstakeunlockhashes":null,"unconfirmed":false},{"id":"b147985d381bc626ef79219ca988b5b1e2d328ade10cd7f3d48b96ca67928155","height":17698,"parent":"e8656ff72f9288c9ece3f85e489389f3c77e84052db13702b03dcff266a4d844","rawtransaction":{"version":1,"data":{"coininputs":[{"parentid":"dd1babcbab492c742983b887a7408742ad0054ec8586541dd6ee6202877cb486","fulfillment":{"type":2,"data":{"publickey":"ed25519:e4f55bc46b5feb37c03a0faa2d624a9ee1d0deb5059aaa9625d8b4f60f29bcab","signature":"4a7a15125f4e8819b4cf57dfe5f0389f45b0779b2a4bf27d885b4de8659ad363eb5be8c38ec88b33fc6fe1d18c55a9c0220f21977d36d1c8f63d582c8c126b0d","secret":"f68d8b238c193bc6765b8e355c53e4f574a2c9da458e55d4402edca621e53756"}}}],"coinoutputs":[{"value":"49000000000","condition":{"type":1,"data":{"unlockhash":"01b73c4e869b6167abe6180ebe7a907f56e0357b4a2f65eb53d22baad84650eb62fce66ba036d0"}}}],"minerfees":["1000000000"]}},"coininputoutputs":[{"value":"50000000000","condition":{"type":2,"data":{"sender":"01b73c4e869b6167abe6180ebe7a907f56e0357b4a2f65eb53d22baad84650eb62fce66ba036d0","receiver":"01b73c4e869b6167abe6180ebe7a907f56e0357b4a2f65eb53d22baad84650eb62fce66ba036d0","hashedsecret":"e24b6b609b351a958982ba91de7624d3503f428620f5586fbea1f71807b545c1","timelock":1549878527}},"unlockhash":"02f6d25603d232512ade46cdec3160301d8bd4880f2d4e8e20f54aff24f94dac5792ab1b325c3d"}],"coinoutputids":["b0e64c6e9d0d6d515856e15fcdfd869721f5b14ffc7599204f1e6ec174fb3631"],"coinoutputunlockhashes":["01b73c4e869b6167abe6180ebe7a907f56e0357b4a2f65eb53d22baad84650eb62fce66ba036d0"],"blockstakeinputoutputs":null,"blockstakeoutputids":null,"blockstakeunlockhashes":null,"unconfirmed":false},{"id":"bca044302e018e67600bd0bd3223ae8dbb702eb528e73d6cfa9d057d4f73b03a","height":16911,"parent":"b4882a0b8632396a9c5d83a5c8684ab76736f4bff6d971795ed7334fac8aa339","rawtransaction":{"version":1,"data":{"coininputs":[{"parentid":"357451c3f3a15f6150aedede9d5228ec5dfc2d32c9b62c2a46128533a7845c72","fulfillment":{"type":1,"data":{"publickey":"ed25519:fdb2e1b898dda304f748c0ff812a24729b2aafd344512079ab778eb368b18645","signature":"bd9dd36e86c08a5990ad5282d1079705c3a4b1cf3896e96791aa7db97002d5eb002c50467f45bd3ac1086292932cd2ab53c91b2e8bb74b9d9c9c0d558082ef08"}}}],"coinoutputs":[{"value":"51000000000","condition":{"type":1,"data":{"unlockhash":"01b73c4e869b6167abe6180ebe7a907f56e0357b4a2f65eb53d22baad8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) explorer_client.hash_add( "dd1babcbab492c742983b887a7408742ad0054ec8586541dd6ee6202877cb486", '{"hashtype":"coinoutputid","block":{"minerpayoutids":null,"transactions":null,"rawblock":{"parentid":"0000000000000000000000000000000000000000000000000000000000000000","timestamp":0,"pobsindexes":{"BlockHeight":0,"TransactionIndex":0,"OutputIndex":0},"minerpayouts":null,"transactions":null},"blockid":"0000000000000000000000000000000000000000000000000000000000000000","difficulty":"0","estimatedactivebs":"0","height":0,"maturitytimestamp":0,"target":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"totalcoins":"0","arbitrarydatatotalsize":0,"minerpayoutcount":0,"transactioncount":0,"coininputcount":0,"coinoutputcount":0,"blockstakeinputcount":0,"blockstakeoutputcount":0,"minerfeecount":0,"arbitrarydatacount":0},"blocks":null,"transaction":{"id":"0000000000000000000000000000000000000000000000000000000000000000","height":0,"parent":"0000000000000000000000000000000000000000000000000000000000000000","rawtransaction":{"version":0,"data":{"coininputs":[],"minerfees":null}},"coininputoutputs":null,"coinoutputids":null,"coinoutputunlockhashes":null,"blockstakeinputoutputs":null,"blockstakeoutputids":null,"blockstakeunlockhashes":null,"unconfirmed":false},"transactions":[{"id":"b147985d381bc626ef79219ca988b5b1e2d328ade10cd7f3d48b96ca67928155","height":17698,"parent":"e8656ff72f9288c9ece3f85e489389f3c77e84052db13702b03dcff266a4d844","rawtransaction":{"version":1,"data":{"coininputs":[{"parentid":"dd1babcbab492c742983b887a7408742ad0054ec8586541dd6ee6202877cb486","fulfillment":{"type":2,"data":{"publickey":"ed25519:e4f55bc46b5feb37c03a0faa2d624a9ee1d0deb5059aaa9625d8b4f60f29bcab","signature":"4a7a15125f4e8819b4cf57dfe5f0389f45b0779b2a4bf27d885b4de8659ad363eb5be8c38ec88b33fc6fe1d18c55a9c0220f21977d36d1c8f63d582c8c126b0d","secret":"f68d8b238c193bc6765b8e355c53e4f574a2c9da458e55d4402edca621e53756"}}}],"coinoutputs":[{"value":"49000000000","condition":{"type":1,"data":{"unlockhash":"01b73c4e869b6167abe6180ebe7a907f56e0357b4a2f65eb53d22baad84650eb62fce66ba036d0"}}}],"minerfees":["1000000000"]}},"coininputoutputs":[{"value":"50000000000","condition":{"type":2,"data":{"sender":"01b73c4e869b6167abe6180ebe7a907f56e0357b4a2f65eb53d22baad84650eb62fce66ba036d0","receiver":"01b73c4e869b6167abe6180ebe7a907f56e0357b4a2f65eb53d22baad84650eb62fce66ba036d0","hashedsecret":"e24b6b609b351a958982ba91de7624d3503f428620f5586fbea1f71807b545c1","timelock":1549878527}},"unlockhash":"02f6d25603d232512ade46cdec3160301d8bd4880f2d4e8e20f54aff24f94dac5792ab1b325c3d"}],"coinoutputids":["b0e64c6e9d0d6d515856e15fcdfd869721f5b14ffc7599204f1e6ec174fb3631"],"coinoutputunlockhashes":["01b73c4e869b6167abe6180ebe7a907f56e0357b4a2f65eb53d22baad84650eb62fce66ba036d0"],"blockstakeinputoutputs":null,"blockstakeoutputids":null,"blockstakeunlockhashes":null,"unconfirmed":false},{"id":"fd583a124677a3ea7ed7981d008ca79bd9f93cedbee97af2bcfd28b3f31093cc","height":17383,"parent":"d329ebc493b75521db55b6595a7bfcbe5c1f94eb0ab1f7646bf39a42a8f7dddf","rawtransaction":{"version":1,"data":{"coininputs":[{"parentid":"8c8dbd70c6eb2d5d181aa5ae430f2cc86e038b92e45dd6f6d5a28400efad4511","fulfillment":{"type":1,"data":{"publickey":"ed25519:cf87843f9c9014700eaa2dc28a80e4a54587d8cca0baa717805ce117cecd9bb4","signature":"b9ce44b1e0f9e3fae9f21111ddc08333f6ba32675fc971893f6ab7ca3e5ab664883794fd3a35aef59ba54242d9be92fbcf65cefb5eede3709dd57226203b6601"}}}],"coinoutputs":[{"value":"50000000000","condition":{"type":2,"data":{"sender":"01b73c4e869b6167abe6180ebe7a907f56e0357b4a2f65eb53d22baad84650eb62fce66ba036d0","receiver":"01b73c4e869b6167abe6180ebe7a907f56e0357b4a2f65eb53d22baad84650eb62fce66ba036d0","hashedsecret":"e24b6b609b351a958982ba91de7624d3503f428620f5586fbea1f71807b545c1","timelock":1549878527}}},{"value":"99994136000000000","condition":{"type":1,"data":{"unlockhash":"017cb06fa6f44828617b92603e95171044d9dc7c4966ffa0d8f6f97171558735974e7ecc623ff7"}}}],"minerfees":["1000000000"]}},"coininputoutputs":[{"value":"99994187000000000","condition":{"type":1,"data":{"unlockhash":"0183841ae8952a2ba72db0d6fce6208df70f2a936ee589ff852e06b20af48b40489572b1a69b2a"}},"unlockhash":"0183841ae8952a2ba72db0d6fce6208df70f2a936ee589ff852e06b20af48b40489572b1a69b2a"}],"coinoutputids":["dd1babcbab492c742983b887a7408742ad0054ec8586541dd6ee6202877cb486","75bbe54aca26d5a5afbc442c0e033a3ad18efa1e130f0776a9e4b68cdbe24fb7"],"coinoutputunlockhashes":["02f6d25603d232512ade46cdec3160301d8bd4880f2d4e8e20f54aff24f94dac5792ab1b325c3d","017cb06fa6f44828617b92603e95171044d9dc7c4966ffa0d8f6f97171558735974e7ecc623ff7"],"blockstakeinputoutputs":null,"blockstakeoutputids":null,"blockstakeunlockhashes":null,"unconfirmed":false}],"multisigaddresses":null,"unconfirmed":false}', force=True, ) explorer_client.chain_info = '{"blockid":"5de1f56636bde6d724c717a3eda954117ad647930a55125a210cd7da8986c365","difficulty":"33956","estimatedactivebs":"2680","height":17712,"maturitytimestamp":1549709563,"target":[0,1,238,19,74,206,147,40,0,177,159,111,31,15,189,145,26,160,171,28,217,59,25,165,140,61,86,216,188,238,159,35],"totalcoins":"0","arbitrarydatatotalsize":4351,"minerpayoutcount":17799,"transactioncount":18340,"coininputcount":638,"coinoutputcount":1232,"blockstakeinputcount":17712,"blockstakeoutputcount":17713,"minerfeecount":627,"arbitrarydatacount":573}' explorer_client.hash_add( "5de1f56636bde6d724c717a3eda954117ad647930a55125a210cd7da8986c365", '{"hashtype":"blockid","block":{"minerpayoutids":["f66f6bde0f026d68f7ce64cbb0ce0169a48e7abd636536ade754d152dbe64e5c"],"transactions":[{"id":"c7b2f558cd8e6ac0d94e2f0c0b025682d142b78457acfed3b89dca493451f15a","height":17712,"parent":"5de1f56636bde6d724c717a3eda954117ad647930a55125a210cd7da8986c365","rawtransaction":{"version":1,"data":{"coininputs":null,"blockstakeinputs":[{"parentid":"2bbf77cb889cafc8df69293c016c03c0b10420e6ed1d83bbe6e79529ed49ba00","fulfillment":{"type":1,"data":{"publickey":"ed25519:d285f92d6d449d9abb27f4c6cf82713cec0696d62b8c123f1627e054dc6d7780","signature":"b3c41e1964f055c027437576943bce92808ff24411a0bf19a56e81b74e6f5fd5d027f8aabe836a56cc2a81837fd73cfc09473a97ac0746b319f4a906f7bc7c02"}}}],"blockstakeoutputs":[{"value":"3000","condition":{"type":1,"data":{"unlockhash":"015a080a9259b9d4aaa550e2156f49b1a79a64c7ea463d810d4493e8242e6791584fbdac553e6f"}}}],"minerfees":null}},"coininputoutputs":null,"coinoutputids":null,"coinoutputunlockhashes":null,"blockstakeinputoutputs":[{"value":"3000","condition":{"type":1,"data":{"unlockhash":"015a080a9259b9d4aaa550e2156f49b1a79a64c7ea463d810d4493e8242e6791584fbdac553e6f"}},"unlockhash":"015a080a9259b9d4aaa550e2156f49b1a79a64c7ea463d810d4493e8242e6791584fbdac553e6f"}],"blockstakeoutputids":["9830f9a00955c797289a9ab17211a05f3e393c2d8728e7fcc6c25b9fe7afce74"],"blockstakeunlockhashes":["015a080a9259b9d4aaa550e2156f49b1a79a64c7ea463d810d4493e8242e6791584fbdac553e6f"],"unconfirmed":false}],"rawblock":{"parentid":"a32ed0392681c2faccffb818dd14aa92c405315f9b538500d9d4d840834d3438","timestamp":1549709657,"pobsindexes":{"BlockHeight":17711,"TransactionIndex":0,"OutputIndex":0},"minerpayouts":[{"value":"10000000000","unlockhash":"015a080a9259b9d4aaa550e2156f49b1a79a64c7ea463d810d4493e8242e6791584fbdac553e6f"}],"transactions":[{"version":1,"data":{"coininputs":null,"blockstakeinputs":[{"parentid":"2bbf77cb889cafc8df69293c016c03c0b10420e6ed1d83bbe6e79529ed49ba00","fulfillment":{"type":1,"data":{"publickey":"ed25519:d285f92d6d449d9abb27f4c6cf82713cec0696d62b8c123f1627e054dc6d7780","signature":"b3c41e1964f055c027437576943bce92808ff24411a0bf19a56e81b74e6f5fd5d027f8aabe836a56cc2a81837fd73cfc09473a97ac0746b319f4a906f7bc7c02"}}}],"blockstakeoutputs":[{"value":"3000","condition":{"type":1,"data":{"unlockhash":"015a080a9259b9d4aaa550e2156f49b1a79a64c7ea463d810d4493e8242e6791584fbdac553e6f"}}}],"minerfees":null}}]},"blockid":"5de1f56636bde6d724c717a3eda954117ad647930a55125a210cd7da8986c365","difficulty":"33956","estimatedactivebs":"2680","height":17712,"maturitytimestamp":1549709563,"target":[0,1,238,19,74,206,147,40,0,177,159,111,31,15,189,145,26,160,171,28,217,59,25,165,140,61,86,216,188,238,159,35],"totalcoins":"0","arbitrarydatatotalsize":4351,"minerpayoutcount":17799,"transactioncount":18340,"coininputcount":638,"coinoutputcount":1232,"blockstakeinputcount":17712,"blockstakeoutputcount":17713,"minerfeecount":627,"arbitrarydatacount":573},"blocks":null,"transaction":{"id":"0000000000000000000000000000000000000000000000000000000000000000","height":0,"parent":"0000000000000000000000000000000000000000000000000000000000000000","rawtransaction":{"version":0,"data":{"coininputs":[],"minerfees":null}},"coininputoutputs":null,"coinoutputids":null,"coinoutputunlockhashes":null,"blockstakeinputoutputs":null,"blockstakeoutputids":null,"blockstakeunlockhashes":null,"unconfirmed":false},"transactions":null,"multisigaddresses":null,"unconfirmed":false}', ) # and the contract can no longer be redeemed with pytest.raises(j.clients.goldchain.errors.AtomicSwapContractSpent): w.atomicswap.redeem( "dd1babcbab492c742983b887a7408742ad0054ec8586541dd6ee6202877cb486", secret="f68d8b238c193bc6765b8e355c53e4f574a2c9da458e55d4402edca621e53756", ) # should you verify it at this point, you'll get the same exception with pytest.raises(j.clients.goldchain.errors.AtomicSwapContractSpent): w.atomicswap.verify("dd1babcbab492c742983b887a7408742ad0054ec8586541dd6ee6202877cb486") c.wallets.delete() c.delete()
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d1897d4875a27bd001bc824ba7c89e67303cec0c
659,225
py
Python
cisco-ios-xr/ydk/models/cisco_ios_xr/_meta/_Cisco_IOS_XR_mpls_te_cfg.py
tkamata-test/ydk-py
b637e7853a8edbbd31fbc05afa3aa4110b31c5f9
[ "ECL-2.0", "Apache-2.0" ]
null
null
null
cisco-ios-xr/ydk/models/cisco_ios_xr/_meta/_Cisco_IOS_XR_mpls_te_cfg.py
tkamata-test/ydk-py
b637e7853a8edbbd31fbc05afa3aa4110b31c5f9
[ "ECL-2.0", "Apache-2.0" ]
null
null
null
cisco-ios-xr/ydk/models/cisco_ios_xr/_meta/_Cisco_IOS_XR_mpls_te_cfg.py
tkamata-test/ydk-py
b637e7853a8edbbd31fbc05afa3aa4110b31c5f9
[ "ECL-2.0", "Apache-2.0" ]
null
null
null
import re import collections from enum import Enum from ydk._core._dm_meta_info import _MetaInfoClassMember, _MetaInfoClass, _MetaInfoEnum from ydk.types import Empty, YList, YLeafList, DELETE, Decimal64, FixedBitsDict from ydk._core._dm_meta_info import ATTRIBUTE, REFERENCE_CLASS, REFERENCE_LIST, REFERENCE_LEAFLIST, REFERENCE_IDENTITY_CLASS, REFERENCE_ENUM_CLASS, REFERENCE_BITS, REFERENCE_UNION from ydk.errors import YPYError, YPYModelError from ydk.providers._importer import _yang_ns _meta_table = { 'MplsTeBackupBandwidthClassEnum' : _MetaInfoEnum('MplsTeBackupBandwidthClassEnum', 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', { 'class0':'class0', 'class1':'class1', 'any-class':'any_class', }, 'Cisco-IOS-XR-mpls-te-cfg', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg']), 'SrPrependEnum' : _MetaInfoEnum('SrPrependEnum', 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', { 'none-type':'none_type', 'next-label':'next_label', 'bgp-n-hop':'bgp_n_hop', }, 'Cisco-IOS-XR-mpls-te-cfg', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg']), 'MplsTePathComputationMethodEnum' : _MetaInfoEnum('MplsTePathComputationMethodEnum', 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', { 'not-set':'not_set', 'dynamic':'dynamic', 'pce':'pce', 'explicit':'explicit', }, 'Cisco-IOS-XR-mpls-te-cfg', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg']), 'MplsTeSwitchingCapEnum' : _MetaInfoEnum('MplsTeSwitchingCapEnum', 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', { 'psc1':'psc1', 'lsc':'lsc', 'fsc':'fsc', }, 'Cisco-IOS-XR-mpls-te-cfg', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg']), 'MplsTeBfdSessionDownActionEnum' : _MetaInfoEnum('MplsTeBfdSessionDownActionEnum', 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', { 're-setup':'re_setup', }, 'Cisco-IOS-XR-mpls-te-cfg', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg']), 'RoutePriorityRoleEnum' : _MetaInfoEnum('RoutePriorityRoleEnum', 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', { 'route-priority-role-head-back-up':'route_priority_role_head_back_up', 'route-priority-role-head-primary':'route_priority_role_head_primary', 'route-priority-role-middle':'route_priority_role_middle', }, 'Cisco-IOS-XR-mpls-te-cfg', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg']), 'MplsTebfdSessionEnum' : _MetaInfoEnum('MplsTebfdSessionEnum', 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', { 'regular-bfd':'regular_bfd', 'sbfd':'sbfd', 'redundant-sbfd':'redundant_sbfd', }, 'Cisco-IOS-XR-mpls-te-cfg', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg']), 'MplsTeLogFrrProtectionEnum' : _MetaInfoEnum('MplsTeLogFrrProtectionEnum', 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', { 'frr-active-primary':'frr_active_primary', 'backup':'backup', 'frr-ready-primary':'frr_ready_primary', 'primary':'primary', 'all':'all', }, 'Cisco-IOS-XR-mpls-te-cfg', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg']), 'MplsTeTunnelAffinityEnum' : _MetaInfoEnum('MplsTeTunnelAffinityEnum', 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', { 'include':'include', 'include-strict':'include_strict', 'exclude':'exclude', 'exclude-all':'exclude_all', 'ignore':'ignore', }, 'Cisco-IOS-XR-mpls-te-cfg', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg']), 'IetfModeEnum' : _MetaInfoEnum('IetfModeEnum', 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', { 'standard':'standard', }, 'Cisco-IOS-XR-mpls-te-cfg', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg']), 'MplsTePathOptionPropertyEnum' : _MetaInfoEnum('MplsTePathOptionPropertyEnum', 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', { 'none':'none', 'lockdown':'lockdown', 'verbatim':'verbatim', 'pce':'pce', 'segment-routing':'segment_routing', }, 'Cisco-IOS-XR-mpls-te-cfg', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg']), 'GmplsttiModeEnum' : _MetaInfoEnum('GmplsttiModeEnum', 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', { 'sm':'sm', 'pm':'pm', 'tcm':'tcm', }, 'Cisco-IOS-XR-mpls-te-cfg', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg']), 'MplsTePathSelectionInvalidationTimerExpireEnum' : _MetaInfoEnum('MplsTePathSelectionInvalidationTimerExpireEnum', 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', { 'tunnel-action-tear':'tunnel_action_tear', 'tunnel-action-drop':'tunnel_action_drop', }, 'Cisco-IOS-XR-mpls-te-cfg', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg']), 'MplsTeOtnApsProtectionEnum' : _MetaInfoEnum('MplsTeOtnApsProtectionEnum', 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', { '1plus1-unidir-no-aps':'Y_1plus1_unidir_no_aps', '1plus1-unidir-aps':'Y_1plus1_unidir_aps', '1plus1-bdir-aps':'Y_1plus1_bdir_aps', }, 'Cisco-IOS-XR-mpls-te-cfg', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg']), 'MplsTeSwitchingEncodingEnum' : _MetaInfoEnum('MplsTeSwitchingEncodingEnum', 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', { 'packet':'packet', 'ethernet':'ethernet', 'sondet-sdh':'sondet_sdh', }, 'Cisco-IOS-XR-mpls-te-cfg', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg']), 'MplsTeSigNameOptionEnum' : _MetaInfoEnum('MplsTeSigNameOptionEnum', 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', { 'none':'none', 'address':'address', 'name':'name', }, 'Cisco-IOS-XR-mpls-te-cfg', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg']), 'OtnProtectionSwitchLockoutEnum' : _MetaInfoEnum('OtnProtectionSwitchLockoutEnum', 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', { 'none':'none', 'working':'working', }, 'Cisco-IOS-XR-mpls-te-cfg', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg']), 'MplsTeTunnelIdEnum' : _MetaInfoEnum('MplsTeTunnelIdEnum', 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', { 'auto':'auto', 'explicit':'explicit', }, 'Cisco-IOS-XR-mpls-te-cfg', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg']), 'MplsTeAffinityValueEnum' : _MetaInfoEnum('MplsTeAffinityValueEnum', 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', { 'hex-value':'hex_value', 'bit-position':'bit_position', }, 'Cisco-IOS-XR-mpls-te-cfg', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg']), 'MplsTeOtnSncModeEnum' : _MetaInfoEnum('MplsTeOtnSncModeEnum', 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', { 'snc-n':'snc_n', 'snc-i':'snc_i', 'snc-s':'snc_s', }, 'Cisco-IOS-XR-mpls-te-cfg', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg']), 'OtnPayloadEnum' : _MetaInfoEnum('OtnPayloadEnum', 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', { 'unknown':'unknown', 'bmp':'bmp', 'gfp-f':'gfp_f', 'gmp':'gmp', 'gfp-f-ext':'gfp_f_ext', }, 'Cisco-IOS-XR-mpls-te-cfg', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg']), 'OspfAreaModeEnum' : _MetaInfoEnum('OspfAreaModeEnum', 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', { 'ospf-int':'ospf_int', 'ospfip-addr':'ospfip_addr', }, 'Cisco-IOS-XR-mpls-te-cfg', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg']), 'MplsTeIgpProtocolEnum' : _MetaInfoEnum('MplsTeIgpProtocolEnum', 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', { 'none':'none', 'isis':'isis', 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'4294967295')], [], ''' Set minimum bandwidth auto-bw can apply on a tunnel ''', 'bandwidth_min_limit', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'bandwidth-limits', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.AutoBandwidth.AdjustmentThreshold' : { 'meta_info' : _MetaInfoClass('MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.AutoBandwidth.AdjustmentThreshold', False, [ _MetaInfoClassMember('adjustment-threshold-percent', ATTRIBUTE, 'int' , None, None, [('1', '100')], [], ''' Bandwidth change percent to trigger adjustment ''', 'adjustment_threshold_percent', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('adjustment-threshold-value', ATTRIBUTE, 'int' , None, None, [('10', '4294967295')], [], ''' Bandwidth change value to trigger adjustment (kbps) ''', 'adjustment_threshold_value', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'adjustment-threshold', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.AutoBandwidth' : { 'meta_info' : _MetaInfoClass('MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.AutoBandwidth', False, [ _MetaInfoClassMember('adjustment-threshold', REFERENCE_CLASS, 'AdjustmentThreshold' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.AutoBandwidth.AdjustmentThreshold', [], [], ''' Set the bandwidth change threshold to trigger adjustment ''', 'adjustment_threshold', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('application-frequency', ATTRIBUTE, 'int' , None, None, [('5', '10080')], [], ''' Set the tunnel auto-bw application frequency in minutes ''', 'application_frequency', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('bandwidth-limits', REFERENCE_CLASS, 'BandwidthLimits' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.AutoBandwidth.BandwidthLimits', [], [], ''' Set min/max bandwidth auto-bw can apply on a tunnel ''', 'bandwidth_limits', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('collection-only', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Enable bandwidth collection only, no auto-bw adjustment ''', 'collection_only', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('enabled', ATTRIBUTE, 'bool' , None, None, [], [], ''' This object is only valid for tunnel interfaces and it controls whether that interface has auto-bw enabled on it or not.The object must be set before any other auto-bw configuration is supplied for the interface, and must be the last auto-bw configuration object to be removed . ''', 'enabled', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('overflow', REFERENCE_CLASS, 'Overflow' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.AutoBandwidth.Overflow', [], [], ''' Configuring the tunnel overflow detection ''', 'overflow', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('overflow-enable', ATTRIBUTE, 'bool' , None, None, [], [], ''' Enable auto bandwidth overflow detection ''', 'overflow_enable', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('underflow', REFERENCE_CLASS, 'Underflow' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.AutoBandwidth.Underflow', [], [], ''' Configuring the tunnel underflow detection ''', 'underflow', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('underflow-enable', ATTRIBUTE, 'bool' , None, None, [], [], ''' Enable auto bandwidth underflow detection ''', 'underflow_enable', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'auto-bandwidth', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.Priority' : { 'meta_info' : _MetaInfoClass('MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.Priority', False, [ _MetaInfoClassMember('hold-priority', ATTRIBUTE, 'int' , None, None, [('0', '7')], [], ''' Hold Priority ''', 'hold_priority', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('setup-priority', ATTRIBUTE, 'int' , None, None, [('0', '7')], [], ''' Setup Priority ''', 'setup_priority', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'priority', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.Logging' : { 'meta_info' : _MetaInfoClass('MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.Logging', False, [ _MetaInfoClassMember('all', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Log all events for a tunnel ''', 'all', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('bandwidth-change-message', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Log tunnel messages for bandwidth change ''', 'bandwidth_change_message', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('bfd-state-message', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Enable BFD session state change alarm ''', 'bfd_state_message', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('insufficient-bw-message', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Log tunnel messages for insufficient bandwidth ''', 'insufficient_bw_message', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('lsp-switch-over-change-message', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Log tunnel messages for bandwidth change ''', 'lsp_switch_over_change_message', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('pcalc-failure-message', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Enable logging for path-calculation failures ''', 'pcalc_failure_message', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('record-route-messsage', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Log tunnel record-route messages ''', 'record_route_messsage', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('reoptimize-attempts-message', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Log tunnel reoptimization attempts messages ''', 'reoptimize_attempts_message', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('reoptimized-message', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Log tunnel reoptimized messages ''', 'reoptimized_message', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('reroute-messsage', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Log tunnel rereoute messages ''', 'reroute_messsage', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('state-message', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Log tunnel state messages ''', 'state_message', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'logging', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.Bandwidth' : { 'meta_info' : _MetaInfoClass('MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.Bandwidth', False, [ _MetaInfoClassMember('bandwidth', ATTRIBUTE, 'int' , None, None, [('0', '4294967295')], [], ''' The value of the bandwidth reserved by this tunnel in kbps ''', 'bandwidth', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('class-or-pool-type', ATTRIBUTE, 'int' , None, None, [('0', '1')], [], ''' Class type for the bandwidth allocation ''', 'class_or_pool_type', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('dste-type', REFERENCE_ENUM_CLASS, 'MplsTeBandwidthDsteEnum' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTeBandwidthDsteEnum', [], [], ''' DSTE-standard flag ''', 'dste_type', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'bandwidth', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.Autoroute.Metric' : { 'meta_info' : _MetaInfoClass('MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.Autoroute.Metric', False, [ _MetaInfoClassMember('absolute-metric', ATTRIBUTE, 'int' , None, None, [('1', '2147483647')], [], ''' The absolute metric value ''', 'absolute_metric', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('constant-metric', ATTRIBUTE, 'int' , None, None, [('1', '2147483647')], [], ''' The constant metric value ''', 'constant_metric', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('metric-type', REFERENCE_ENUM_CLASS, 'MplsTeAutorouteMetricEnum' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTeAutorouteMetricEnum', [], [], ''' Autoroute tunnel metric type ''', 'metric_type', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('relative-metric', ATTRIBUTE, 'int' , None, None, [('-10', '10')], [], ''' The value of the adjustment ''', 'relative_metric', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'metric', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.Autoroute.AutorouteAnnounce.Metric' : { 'meta_info' : _MetaInfoClass('MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.Autoroute.AutorouteAnnounce.Metric', False, [ _MetaInfoClassMember('absolute-metric', ATTRIBUTE, 'int' , None, None, [('1', '2147483647')], [], ''' The absolute metric value ''', 'absolute_metric', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('constant-metric', ATTRIBUTE, 'int' , None, None, [('1', '2147483647')], [], ''' The constant metric value ''', 'constant_metric', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('metric-type', REFERENCE_ENUM_CLASS, 'MplsTeAutorouteMetricEnum' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTeAutorouteMetricEnum', [], [], ''' Autoroute tunnel metric type ''', 'metric_type', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('relative-metric', ATTRIBUTE, 'int' , None, None, [('-10', '10')], [], ''' The value of the adjustment ''', 'relative_metric', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'metric', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.Autoroute.AutorouteAnnounce' : { 'meta_info' : _MetaInfoClass('MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.Autoroute.AutorouteAnnounce', False, [ _MetaInfoClassMember('enable', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Enable autoroute announce ''', 'enable', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('include-ipv6', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Specify that the tunnel should be an IPv6 autoroute announce also ''', 'include_ipv6', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('metric', REFERENCE_CLASS, 'Metric' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.Autoroute.AutorouteAnnounce.Metric', [], [], ''' Specify MPLS tunnel metric ''', 'metric', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'autoroute-announce', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.Autoroute.DestinationXr.Destination' : { 'meta_info' : _MetaInfoClass('MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.Autoroute.DestinationXr.Destination', False, [ _MetaInfoClassMember('destination-address', ATTRIBUTE, 'str' , None, None, [], ['(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'], ''' IP address of destination ''', 'destination_address', 'Cisco-IOS-XR-mpls-te-cfg', True), ], 'Cisco-IOS-XR-mpls-te-cfg', 'destination', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.Autoroute.DestinationXr' : { 'meta_info' : _MetaInfoClass('MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.Autoroute.DestinationXr', False, [ _MetaInfoClassMember('destination', REFERENCE_LIST, 'Destination' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.Autoroute.DestinationXr.Destination', [], [], ''' Destination address to add in RIB ''', 'destination', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'destination-xr', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.Autoroute' : { 'meta_info' : _MetaInfoClass('MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.Autoroute', False, [ _MetaInfoClassMember('autoroute-announce', REFERENCE_CLASS, 'AutorouteAnnounce' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.Autoroute.AutorouteAnnounce', [], [], ''' Announce tunnel to IGP ''', 'autoroute_announce', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('destination', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Deprecated: do NOT use ''', 'destination', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('destination-xr', REFERENCE_CLASS, 'DestinationXr' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.Autoroute.DestinationXr', [], [], ''' Tunnel Autoroute Destination(s) ''', 'destination_xr', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('metric', REFERENCE_CLASS, 'Metric' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.Autoroute.Metric', [], [], ''' Specify MPLS tunnel metric ''', 'metric', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'autoroute', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.NewStyleAffinityAffinityTypes.NewStyleAffinityAffinityType' : { 'meta_info' : _MetaInfoClass('MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.NewStyleAffinityAffinityTypes.NewStyleAffinityAffinityType', False, [ _MetaInfoClassMember('affinity-type', REFERENCE_ENUM_CLASS, 'MplsTeTunnelAffinityEnum' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTeTunnelAffinityEnum', [], [], ''' The type of the affinity entry ''', 'affinity_type', 'Cisco-IOS-XR-mpls-te-cfg', True), ], 'Cisco-IOS-XR-mpls-te-cfg', 'new-style-affinity-affinity-type', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.NewStyleAffinityAffinityTypes.NewStyleAffinityAffinityTypeAffinity1' : { 'meta_info' : _MetaInfoClass('MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.NewStyleAffinityAffinityTypes.NewStyleAffinityAffinityTypeAffinity1', False, [ _MetaInfoClassMember('affinity1', ATTRIBUTE, 'str' , None, None, [], ['[\\w\\-\\.:,_@#%$\\+=\\|;]+'], ''' The name of the first affinity ''', 'affinity1', 'Cisco-IOS-XR-mpls-te-cfg', True), _MetaInfoClassMember('affinity-type', REFERENCE_ENUM_CLASS, 'MplsTeTunnelAffinityEnum' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTeTunnelAffinityEnum', [], [], ''' The type of the affinity entry ''', 'affinity_type', 'Cisco-IOS-XR-mpls-te-cfg', True), ], 'Cisco-IOS-XR-mpls-te-cfg', 'new-style-affinity-affinity-type-affinity1', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.NewStyleAffinityAffinityTypes.NewStyleAffinityAffinityTypeAffinity1Affinity2' : { 'meta_info' : _MetaInfoClass('MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.NewStyleAffinityAffinityTypes.NewStyleAffinityAffinityTypeAffinity1Affinity2', False, [ _MetaInfoClassMember('affinity1', ATTRIBUTE, 'str' , None, None, [], ['[\\w\\-\\.:,_@#%$\\+=\\|;]+'], ''' The name of the first affinity ''', 'affinity1', 'Cisco-IOS-XR-mpls-te-cfg', True), _MetaInfoClassMember('affinity2', ATTRIBUTE, 'str' , None, None, [], ['[\\w\\-\\.:,_@#%$\\+=\\|;]+'], ''' The name of the second affinity ''', 'affinity2', 'Cisco-IOS-XR-mpls-te-cfg', True), _MetaInfoClassMember('affinity-type', REFERENCE_ENUM_CLASS, 'MplsTeTunnelAffinityEnum' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTeTunnelAffinityEnum', [], [], ''' The type of the affinity entry ''', 'affinity_type', 'Cisco-IOS-XR-mpls-te-cfg', True), ], 'Cisco-IOS-XR-mpls-te-cfg', 'new-style-affinity-affinity-type-affinity1-affinity2', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.NewStyleAffinityAffinityTypes.NewStyleAffinityAffinityTypeAffinity1Affinity2Affinity3' : { 'meta_info' : _MetaInfoClass('MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.NewStyleAffinityAffinityTypes.NewStyleAffinityAffinityTypeAffinity1Affinity2Affinity3', False, [ _MetaInfoClassMember('affinity1', ATTRIBUTE, 'str' , None, None, [], ['[\\w\\-\\.:,_@#%$\\+=\\|;]+'], ''' The name of the first affinity ''', 'affinity1', 'Cisco-IOS-XR-mpls-te-cfg', True), _MetaInfoClassMember('affinity2', ATTRIBUTE, 'str' , None, None, [], ['[\\w\\-\\.:,_@#%$\\+=\\|;]+'], ''' The name of the second affinity ''', 'affinity2', 'Cisco-IOS-XR-mpls-te-cfg', True), _MetaInfoClassMember('affinity3', ATTRIBUTE, 'str' , None, None, [], ['[\\w\\-\\.:,_@#%$\\+=\\|;]+'], ''' The name of the third affinity ''', 'affinity3', 'Cisco-IOS-XR-mpls-te-cfg', True), _MetaInfoClassMember('affinity-type', REFERENCE_ENUM_CLASS, 'MplsTeTunnelAffinityEnum' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTeTunnelAffinityEnum', [], [], ''' The type of the affinity entry ''', 'affinity_type', 'Cisco-IOS-XR-mpls-te-cfg', True), ], 'Cisco-IOS-XR-mpls-te-cfg', 'new-style-affinity-affinity-type-affinity1-affinity2-affinity3', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.NewStyleAffinityAffinityTypes.NewStyleAffinityAffinityTypeAffinity1Affinity2Affinity3Affinity4' : { 'meta_info' : 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'new_style_affinity_affinity_type_affinity1_affinity2_affinity3_affinity4_affinity5_affinity6_affinity7_affinity8', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('new-style-affinity-affinity-type-affinity1-affinity2-affinity3-affinity4-affinity5-affinity6-affinity7-affinity8-affinity9', REFERENCE_LIST, 'NewStyleAffinityAffinityTypeAffinity1Affinity2Affinity3Affinity4Affinity5Affinity6Affinity7Affinity8Affinity9' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.NewStyleAffinityAffinityTypes.NewStyleAffinityAffinityTypeAffinity1Affinity2Affinity3Affinity4Affinity5Affinity6Affinity7Affinity8Affinity9', [], [], ''' Tunnel new style affinity attribute ''', 'new_style_affinity_affinity_type_affinity1_affinity2_affinity3_affinity4_affinity5_affinity6_affinity7_affinity8_affinity9', 'Cisco-IOS-XR-mpls-te-cfg', False), 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'MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.AutoBandwidth', [], [], ''' Tunnel Interface Auto-bandwidth configuration data ''', 'auto_bandwidth', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('autoroute', REFERENCE_CLASS, 'Autoroute' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.Autoroute', [], [], ''' Parameters for IGP routing over tunnel ''', 'autoroute', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('bandwidth', REFERENCE_CLASS, 'Bandwidth' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.Bandwidth', [], [], ''' Tunnel bandwidth requirement ''', 'bandwidth', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('destination', ATTRIBUTE, 'str' , None, None, [], ['(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'], ''' Set the destination of the tunnel 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'MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.TunnelPathSelection', [], [], ''' Configure path selection properties ''', 'tunnel_path_selection', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'tunnel-attributes', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelId' : { 'meta_info' : _MetaInfoClass('MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelId', False, [ _MetaInfoClassMember('tunnel-id', ATTRIBUTE, 'int' , None, None, [('0', '65535')], [], ''' Tunnel ID ''', 'tunnel_id', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('tunnel-id-type', REFERENCE_ENUM_CLASS, 'MplsTeTunnelIdEnum' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTeTunnelIdEnum', [], [], ''' Tunnel ID Type ''', 'tunnel_id_type', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'tunnel-id', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.NamedTunnels.Tunnels.Tunnel' : { 'meta_info' : _MetaInfoClass('MplsTe.NamedTunnels.Tunnels.Tunnel', False, [ _MetaInfoClassMember('tunnel-name', ATTRIBUTE, 'str' , None, None, [(0, 59)], [], ''' Tunnel name ''', 'tunnel_name', 'Cisco-IOS-XR-mpls-te-cfg', True), _MetaInfoClassMember('tunnel-type', REFERENCE_ENUM_CLASS, 'MplsTeConfigTunnelEnum' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTeConfigTunnelEnum', [], [], ''' Tunnel Type ''', 'tunnel_type', 'Cisco-IOS-XR-mpls-te-cfg', True), _MetaInfoClassMember('enable', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Always set to true ''', 'enable', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('tunnel-attributes', REFERENCE_CLASS, 'TunnelAttributes' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes', [], [], ''' MPLS tunnel attributes ''', 'tunnel_attributes', 'Cisco-IOS-XR-mpls-te-cfg', False), 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'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GmplsUni.Controllers.Controller.GmplsUnitunnelHead.Logging' : { 'meta_info' : _MetaInfoClass('MplsTe.GmplsUni.Controllers.Controller.GmplsUnitunnelHead.Logging', False, [ _MetaInfoClassMember('state-message', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Log tunnel state messages ''', 'state_message', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'logging', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GmplsUni.Controllers.Controller.GmplsUnitunnelHead.Priority' : { 'meta_info' : _MetaInfoClass('MplsTe.GmplsUni.Controllers.Controller.GmplsUnitunnelHead.Priority', False, [ _MetaInfoClassMember('hold-priority', ATTRIBUTE, 'int' , None, None, [('0', '7')], [], ''' Hold Priority ''', 'hold_priority', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('setup-priority', ATTRIBUTE, 'int' , None, None, [('0', '7')], [], ''' Setup Priority ''', 'setup_priority', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'priority', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GmplsUni.Controllers.Controller.GmplsUnitunnelHead' : { 'meta_info' : _MetaInfoClass('MplsTe.GmplsUni.Controllers.Controller.GmplsUnitunnelHead', False, [ _MetaInfoClassMember('destination', ATTRIBUTE, 'str' , None, None, [], ['(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'], ''' Set the destination of the tunnel ''', 'destination', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('enable', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Set link as a GMPLS tunnel head ''', 'enable', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('logging', REFERENCE_CLASS, 'Logging' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GmplsUni.Controllers.Controller.GmplsUnitunnelHead.Logging', [], [], ''' Tunnel event logging ''', 'logging', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('path-options', REFERENCE_CLASS, 'PathOptions' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GmplsUni.Controllers.Controller.GmplsUnitunnelHead.PathOptions', [], [], ''' Path-option configuration ''', 'path_options', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('priority', REFERENCE_CLASS, 'Priority' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GmplsUni.Controllers.Controller.GmplsUnitunnelHead.Priority', [], [], ''' Tunnel Setup and Hold Priorities ''', 'priority', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('record-route', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Record the route used by the tunnel ''', 'record_route', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('recording', REFERENCE_CLASS, 'Recording' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GmplsUni.Controllers.Controller.GmplsUnitunnelHead.Recording', [], [], ''' Tunnel property recording ''', 'recording', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('signalled-name', ATTRIBUTE, 'str' , None, None, [(0, 254)], [], ''' The name of the tunnel to be included in signalling messages ''', 'signalled_name', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('tunnel-id', ATTRIBUTE, 'int' , None, None, [('0', '65535')], [], ''' GMPLS-UNI head tunnel-id ''', 'tunnel_id', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'gmpls-unitunnel-head', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GmplsUni.Controllers.Controller' : { 'meta_info' : _MetaInfoClass('MplsTe.GmplsUni.Controllers.Controller', False, [ _MetaInfoClassMember('controller-name', ATTRIBUTE, 'str' , None, None, [], ['(([a-zA-Z0-9_]*\\d+/){3,4}\\d+)|(([a-zA-Z0-9_]*\\d+/){3,4}\\d+\\.\\d+)|(([a-zA-Z0-9_]*\\d+/){2}([a-zA-Z0-9_]*\\d+))|(([a-zA-Z0-9_]*\\d+/){2}([a-zA-Z0-9_]+))|([a-zA-Z0-9_-]*\\d+)|([a-zA-Z0-9_-]*\\d+\\.\\d+)|(mpls)|(dwdm)'], ''' Controller name ''', 'controller_name', 'Cisco-IOS-XR-mpls-te-cfg', True), _MetaInfoClassMember('announce', REFERENCE_CLASS, 'Announce' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GmplsUni.Controllers.Controller.Announce', [], [], ''' Announce discovered tunnel properties to system ''', 'announce', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('controller-logging', REFERENCE_CLASS, 'ControllerLogging' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GmplsUni.Controllers.Controller.ControllerLogging', [], [], ''' Controller logging ''', 'controller_logging', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('enable', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Enable GMPLS-UNI on the link ''', 'enable', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('gmpls-unitunnel-head', REFERENCE_CLASS, 'GmplsUnitunnelHead' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GmplsUni.Controllers.Controller.GmplsUnitunnelHead', [], [], ''' GMPLS-UNI tunnel-head properties ''', 'gmpls_unitunnel_head', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'controller', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GmplsUni.Controllers' : { 'meta_info' : _MetaInfoClass('MplsTe.GmplsUni.Controllers', False, [ _MetaInfoClassMember('controller', REFERENCE_LIST, 'Controller' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GmplsUni.Controllers.Controller', [], [], ''' Configure a GMPLS controller ''', 'controller', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'controllers', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GmplsUni' : { 'meta_info' : _MetaInfoClass('MplsTe.GmplsUni', False, [ _MetaInfoClassMember('controllers', REFERENCE_CLASS, 'Controllers' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GmplsUni.Controllers', [], [], ''' GMPLS-UNI controllers ''', 'controllers', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('timers', REFERENCE_CLASS, 'Timers' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GmplsUni.Timers', [], [], ''' GMPLS-UNI timer configuration ''', 'timers', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'gmpls-uni', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GlobalAttributes.AutoTunnel.Pcc.TunnelRange' : { 'meta_info' : _MetaInfoClass('MplsTe.GlobalAttributes.AutoTunnel.Pcc.TunnelRange', False, [ _MetaInfoClassMember('max-tunnel-id', ATTRIBUTE, 'int' , None, None, [('0', '65535')], [], ''' Maximum tunnel ID for auto-tunnels ''', 'max_tunnel_id', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('min-tunnel-id', ATTRIBUTE, 'int' , None, None, [('0', '65535')], [], ''' Minimum tunnel ID for auto-tunnels ''', 'min_tunnel_id', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'tunnel-range', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GlobalAttributes.AutoTunnel.Pcc' : { 'meta_info' : _MetaInfoClass('MplsTe.GlobalAttributes.AutoTunnel.Pcc', False, [ _MetaInfoClassMember('tunnel-range', REFERENCE_CLASS, 'TunnelRange' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GlobalAttributes.AutoTunnel.Pcc.TunnelRange', [], [], ''' Configure tunnel ID range for auto-tunnel features ''', 'tunnel_range', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'pcc', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' 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'MplsTe.GlobalAttributes.AutoTunnel.P2PAutoTunnel.TunnelRange', [], [], ''' Configure tunnel ID range for auto-tunnel features ''', 'tunnel_range', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'p2p-auto-tunnel', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GlobalAttributes.AutoTunnel.Backup.Timers.Removal' : { 'meta_info' : _MetaInfoClass('MplsTe.GlobalAttributes.AutoTunnel.Backup.Timers.Removal', False, [ _MetaInfoClassMember('unused', ATTRIBUTE, 'int' , None, None, [('0', '10080')], [], ''' Auto-tunnel backup unused timeout in minutes (0=never timeout) ''', 'unused', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'removal', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GlobalAttributes.AutoTunnel.Backup.Timers' : { 'meta_info' : _MetaInfoClass('MplsTe.GlobalAttributes.AutoTunnel.Backup.Timers', False, [ _MetaInfoClassMember('removal', REFERENCE_CLASS, 'Removal' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GlobalAttributes.AutoTunnel.Backup.Timers.Removal', [], [], ''' Configure auto-tunnel backup removal timers value ''', 'removal', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'timers', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GlobalAttributes.AutoTunnel.Backup.TunnelRange' : { 'meta_info' : _MetaInfoClass('MplsTe.GlobalAttributes.AutoTunnel.Backup.TunnelRange', False, [ _MetaInfoClassMember('max-tunnel-id', ATTRIBUTE, 'int' , None, None, [('0', '65535')], [], ''' Maximum tunnel ID for auto-tunnels ''', 'max_tunnel_id', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('min-tunnel-id', ATTRIBUTE, 'int' , None, None, [('0', '65535')], [], ''' Minimum tunnel ID for auto-tunnels ''', 'min_tunnel_id', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'tunnel-range', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GlobalAttributes.AutoTunnel.Backup' : { 'meta_info' : _MetaInfoClass('MplsTe.GlobalAttributes.AutoTunnel.Backup', False, [ _MetaInfoClassMember('affinity-ignore', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Ignore affinity during CSPF for auto backup tunnels ''', 'affinity_ignore', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('timers', REFERENCE_CLASS, 'Timers' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GlobalAttributes.AutoTunnel.Backup.Timers', [], [], ''' Configure auto-tunnel backup timers value ''', 'timers', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('tunnel-range', REFERENCE_CLASS, 'TunnelRange' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GlobalAttributes.AutoTunnel.Backup.TunnelRange', [], [], ''' Configure tunnel ID range for auto-tunnel features ''', 'tunnel_range', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'backup', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GlobalAttributes.AutoTunnel.Mesh.MeshGroups.MeshGroup' : { 'meta_info' : _MetaInfoClass('MplsTe.GlobalAttributes.AutoTunnel.Mesh.MeshGroups.MeshGroup', False, [ _MetaInfoClassMember('mesh-group-id', ATTRIBUTE, 'int' , None, None, [('0', '4294967295')], [], ''' Mesh group ID ''', 'mesh_group_id', 'Cisco-IOS-XR-mpls-te-cfg', True), _MetaInfoClassMember('attribute-set', ATTRIBUTE, 'str' , None, None, [(0, 64)], [], ''' The name of auto-mesh attribute set to be applied to this group ''', 'attribute_set', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('create', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Auto-mesh group enable object that controls whether this group is configured or not .This object must be set before other configuration supplied for this group ''', 'create', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('destination-list', ATTRIBUTE, 'str' , None, None, [(0, 32)], [], ''' The name of prefix-list to be applied to this destination-list ''', 'destination_list', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('disable', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Disables mesh group ''', 'disable', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('one-hop', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Automatically create tunnel to all next-hops ''', 'one_hop', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'mesh-group', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GlobalAttributes.AutoTunnel.Mesh.MeshGroups' : { 'meta_info' : _MetaInfoClass('MplsTe.GlobalAttributes.AutoTunnel.Mesh.MeshGroups', False, [ _MetaInfoClassMember('mesh-group', REFERENCE_LIST, 'MeshGroup' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GlobalAttributes.AutoTunnel.Mesh.MeshGroups.MeshGroup', [], [], ''' Auto-mesh group identifier ''', 'mesh_group', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'mesh-groups', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GlobalAttributes.AutoTunnel.Mesh.Timers.Removal' : { 'meta_info' : _MetaInfoClass('MplsTe.GlobalAttributes.AutoTunnel.Mesh.Timers.Removal', False, [ _MetaInfoClassMember('unused', ATTRIBUTE, 'int' , None, None, [('0', '10080')], [], ''' Auto-tunnel backup unused timeout in minutes (0=never timeout) ''', 'unused', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'removal', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GlobalAttributes.AutoTunnel.Mesh.Timers' : { 'meta_info' : _MetaInfoClass('MplsTe.GlobalAttributes.AutoTunnel.Mesh.Timers', False, [ _MetaInfoClassMember('removal', 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_yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GlobalAttributes.AutoTunnel.Mesh' : { 'meta_info' : _MetaInfoClass('MplsTe.GlobalAttributes.AutoTunnel.Mesh', False, [ _MetaInfoClassMember('mesh-groups', REFERENCE_CLASS, 'MeshGroups' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GlobalAttributes.AutoTunnel.Mesh.MeshGroups', [], [], ''' Configure auto-tunnel mesh group ''', 'mesh_groups', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('timers', REFERENCE_CLASS, 'Timers' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GlobalAttributes.AutoTunnel.Mesh.Timers', [], [], ''' Configure auto-tunnel backup timers value ''', 'timers', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('tunnel-range', REFERENCE_CLASS, 'TunnelRange' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GlobalAttributes.AutoTunnel.Mesh.TunnelRange', [], [], ''' Configure tunnel ID range for auto-tunnel features ''', 'tunnel_range', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'mesh', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GlobalAttributes.AutoTunnel.P2MpAutoTunnel.TunnelRange' : { 'meta_info' : _MetaInfoClass('MplsTe.GlobalAttributes.AutoTunnel.P2MpAutoTunnel.TunnelRange', False, [ _MetaInfoClassMember('max-tunnel-id', ATTRIBUTE, 'int' , None, None, [('0', '65535')], [], ''' Maximum tunnel ID for auto-tunnels ''', 'max_tunnel_id', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('min-tunnel-id', ATTRIBUTE, 'int' , None, None, [('0', '65535')], [], ''' Minimum tunnel ID for auto-tunnels ''', 'min_tunnel_id', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'tunnel-range', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GlobalAttributes.AutoTunnel.P2MpAutoTunnel' : { 'meta_info' : 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_MetaInfoClassMember('policy-classes', REFERENCE_CLASS, 'PolicyClasses' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GlobalAttributes.AttributeSet.AutoBackupAttributes.AutoBackupAttribute.PolicyClasses', [], [], ''' Policy classes for PBTS ''', 'policy_classes', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('priority', REFERENCE_CLASS, 'Priority' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GlobalAttributes.AttributeSet.AutoBackupAttributes.AutoBackupAttribute.Priority', [], [], ''' Tunnel Setup and Hold Priorities ''', 'priority', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('record-route', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Record the route used by the tunnel ''', 'record_route', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('signalled-name', REFERENCE_CLASS, 'SignalledName' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 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'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GlobalAttributes.AttributeSet.OtnPpAttributes.OtnPpAttribute.RevertScheduleNames.RevertScheduleName' : { 'meta_info' : _MetaInfoClass('MplsTe.GlobalAttributes.AttributeSet.OtnPpAttributes.OtnPpAttribute.RevertScheduleNames.RevertScheduleName', False, [ _MetaInfoClassMember('schedule-name', ATTRIBUTE, 'str' , None, None, [(0, 254)], [], ''' Enter 64 characters for revert schedule name ''', 'schedule_name', 'Cisco-IOS-XR-mpls-te-cfg', True), _MetaInfoClassMember('revert-schedule-frequency', ATTRIBUTE, 'int' , None, None, [('1', '3')], [], ''' Frequency set as Once, Daily, Weekly ''', 'revert_schedule_frequency', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('revert-schedule-max-tries', ATTRIBUTE, 'int' , None, None, [('1', '2016')], [], ''' Revert Schedule Max tries ''', 'revert_schedule_max_tries', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('sch-name-enable', ATTRIBUTE, 'Empty' , None, None, [], 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'MplsTe.GlobalAttributes.AttributeSet.AutoMeshAttributes.AutoMeshAttribute.NewStyleAffinityAffinityTypes.NewStyleAffinityAffinityTypeAffinity1Affinity2Affinity3Affinity4Affinity5Affinity6Affinity7Affinity8Affinity9Affinity10' : { 'meta_info' : _MetaInfoClass('MplsTe.GlobalAttributes.AttributeSet.AutoMeshAttributes.AutoMeshAttribute.NewStyleAffinityAffinityTypes.NewStyleAffinityAffinityTypeAffinity1Affinity2Affinity3Affinity4Affinity5Affinity6Affinity7Affinity8Affinity9Affinity10', False, [ _MetaInfoClassMember('affinity1', ATTRIBUTE, 'str' , None, None, [], ['[\\w\\-\\.:,_@#%$\\+=\\|;]+'], ''' The name of the first affinity ''', 'affinity1', 'Cisco-IOS-XR-mpls-te-cfg', True), _MetaInfoClassMember('affinity10', ATTRIBUTE, 'str' , None, None, [], ['[\\w\\-\\.:,_@#%$\\+=\\|;]+'], ''' The name of the tenth affinity ''', 'affinity10', 'Cisco-IOS-XR-mpls-te-cfg', True), _MetaInfoClassMember('affinity2', ATTRIBUTE, 'str' , None, None, [], ['[\\w\\-\\.:,_@#%$\\+=\\|;]+'], ''' The name of the 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'MplsTe.GlobalAttributes.AttributeSet.AutoMeshAttributes.AutoMeshAttribute.NewStyleAffinityAffinityTypes' : { 'meta_info' : _MetaInfoClass('MplsTe.GlobalAttributes.AttributeSet.AutoMeshAttributes.AutoMeshAttribute.NewStyleAffinityAffinityTypes', False, [ _MetaInfoClassMember('new-style-affinity-affinity-type', REFERENCE_LIST, 'NewStyleAffinityAffinityType' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GlobalAttributes.AttributeSet.AutoMeshAttributes.AutoMeshAttribute.NewStyleAffinityAffinityTypes.NewStyleAffinityAffinityType', [], [], ''' Tunnel new style affinity attribute ''', 'new_style_affinity_affinity_type', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('new-style-affinity-affinity-type-affinity1', REFERENCE_LIST, 'NewStyleAffinityAffinityTypeAffinity1' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GlobalAttributes.AttributeSet.AutoMeshAttributes.AutoMeshAttribute.NewStyleAffinityAffinityTypes.NewStyleAffinityAffinityTypeAffinity1', [], 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'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GlobalAttributes.AttributeSet.XroAttributes.XroAttribute.PathDiversity.Lsp.Fecs' : { 'meta_info' : _MetaInfoClass('MplsTe.GlobalAttributes.AttributeSet.XroAttributes.XroAttribute.PathDiversity.Lsp.Fecs', False, [ _MetaInfoClassMember('fec', REFERENCE_LIST, 'Fec' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GlobalAttributes.AttributeSet.XroAttributes.XroAttribute.PathDiversity.Lsp.Fecs.Fec', [], [], ''' LSP-based path-diversity, referenced by FEC ''', 'fec', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'fecs', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GlobalAttributes.AttributeSet.XroAttributes.XroAttribute.PathDiversity.Lsp' : { 'meta_info' : _MetaInfoClass('MplsTe.GlobalAttributes.AttributeSet.XroAttributes.XroAttribute.PathDiversity.Lsp', False, [ _MetaInfoClassMember('fecs', REFERENCE_CLASS, 'Fecs' , 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_MetaInfoClass('MplsTe.GlobalAttributes.AttributeSet.XroAttributes.XroAttribute', False, [ _MetaInfoClassMember('attribute-set-name', ATTRIBUTE, 'str' , None, None, [(0, 64)], [], ''' Attribute Set Name ''', 'attribute_set_name', 'Cisco-IOS-XR-mpls-te-cfg', True), _MetaInfoClassMember('enable', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Attribute-set enable object that controls whether this attribute-set is configured or not .This object must be set before other configuration supplied for this attribute-set ''', 'enable', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('path-diversity', REFERENCE_CLASS, 'PathDiversity' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GlobalAttributes.AttributeSet.XroAttributes.XroAttribute.PathDiversity', [], [], ''' Path diversity ''', 'path_diversity', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('path-selection', REFERENCE_CLASS, 'PathSelection' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 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'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('state-timeout', ATTRIBUTE, 'int' , None, None, [('0', '3600')], [], ''' State timeout for LSPs without delegation in seconds, zero means immediate removal, default is 180 seconds ''', 'state_timeout', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'stateful-timers', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GlobalAttributes.PceAttributes.PceStateful' : { 'meta_info' : _MetaInfoClass('MplsTe.GlobalAttributes.PceAttributes.PceStateful', False, [ _MetaInfoClassMember('cisco-extension', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Enable processing of PCEP Cisco extension ''', 'cisco_extension', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('delegation', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Delegate all statically configured tunnels ''', 'delegation', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('enable', ATTRIBUTE, 'Empty' , None, None, [], [], ''' PCE stateful capability ''', 'enable', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('fast-repair', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Enable reoptimization by PCC after path failures ''', 'fast_repair', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('instantiation', ATTRIBUTE, 'Empty' , None, None, [], [], ''' PCE stateful instantiation capability ''', 'instantiation', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('report', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Report all statically configured tunnels ''', 'report', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('stateful-timers', REFERENCE_CLASS, 'StatefulTimers' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GlobalAttributes.PceAttributes.PceStateful.StatefulTimers', [], [], ''' Configure Stateful PCE (Path Computation Element) timers ''', 'stateful_timers', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'pce-stateful', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GlobalAttributes.PceAttributes.Timer' : { 'meta_info' : _MetaInfoClass('MplsTe.GlobalAttributes.PceAttributes.Timer', False, [ ], 'Cisco-IOS-XR-mpls-te-cfg', 'timer', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GlobalAttributes.PceAttributes.Peers.Peer' : { 'meta_info' : _MetaInfoClass('MplsTe.GlobalAttributes.PceAttributes.Peers.Peer', False, [ _MetaInfoClassMember('pce-peer-address', ATTRIBUTE, 'str' , None, None, [], ['(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'], ''' Address of PCE Peer ''', 'pce_peer_address', 'Cisco-IOS-XR-mpls-te-cfg', True), _MetaInfoClassMember('enable', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Enabled PCE peer (default source address uses local) ''', 'enable', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('keychain', ATTRIBUTE, 'str' , None, None, [(0, 32)], [], ''' Keychain based authentication ''', 'keychain', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('password', ATTRIBUTE, 'str' , None, None, [], ['(!.+)|([^!].+)'], ''' MD5 password ''', 'password', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('precedence', ATTRIBUTE, 'int' , None, None, [('0', '255')], [], ''' Precedence order ''', 'precedence', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'peer', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GlobalAttributes.PceAttributes.Peers' : { 'meta_info' : _MetaInfoClass('MplsTe.GlobalAttributes.PceAttributes.Peers', False, [ _MetaInfoClassMember('peer', REFERENCE_LIST, 'Peer' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GlobalAttributes.PceAttributes.Peers.Peer', [], [], ''' PCE peer ''', 'peer', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'peers', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GlobalAttributes.PceAttributes.Logging.Events' : { 'meta_info' : _MetaInfoClass('MplsTe.GlobalAttributes.PceAttributes.Logging.Events', False, [ _MetaInfoClassMember('peer-status', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Peer status changes logging ''', 'peer_status', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'events', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GlobalAttributes.PceAttributes.Logging' : { 'meta_info' : _MetaInfoClass('MplsTe.GlobalAttributes.PceAttributes.Logging', False, [ _MetaInfoClassMember('events', REFERENCE_CLASS, 'Events' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GlobalAttributes.PceAttributes.Logging.Events', [], [], ''' Configure logging events ''', 'events', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'logging', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GlobalAttributes.PceAttributes' : { 'meta_info' : _MetaInfoClass('MplsTe.GlobalAttributes.PceAttributes', False, [ _MetaInfoClassMember('address', ATTRIBUTE, 'str' , None, None, [], ['(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'], ''' Address of this PCE ''', 'address', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('deadtimer', ATTRIBUTE, 'int' , None, None, [('0', '255')], [], ''' Deadtimer interval in seconds ''', 'deadtimer', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('keepalive', ATTRIBUTE, 'int' , None, None, [('0', '255')], [], ''' Keepalive interval in seconds ''', 'keepalive', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('keepalive-tolerance', ATTRIBUTE, 'int' , None, None, [('0', '255')], [], ''' Keepalive interval tolerance in seconds ''', 'keepalive_tolerance', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('keychain', ATTRIBUTE, 'str' , None, None, [(0, 32)], [], ''' Keychain based authentication ''', 'keychain', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('logging', REFERENCE_CLASS, 'Logging' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GlobalAttributes.PceAttributes.Logging', [], [], ''' Configure PCE (Path Computation Element) logging feature ''', 'logging', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('password', ATTRIBUTE, 'str' , None, None, [], ['(!.+)|([^!].+)'], ''' MD5 password ''', 'password', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('pce-stateful', REFERENCE_CLASS, 'PceStateful' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GlobalAttributes.PceAttributes.PceStateful', [], [], ''' PCE Stateful ''', 'pce_stateful', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('peer-source-addr', ATTRIBUTE, 'str' , None, None, [], ['(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'], ''' PCE Peer Source Address ''', 'peer_source_addr', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('peers', REFERENCE_CLASS, 'Peers' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GlobalAttributes.PceAttributes.Peers', [], [], ''' Configure PCE peers ''', 'peers', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('precedence', ATTRIBUTE, 'int' , None, None, [('0', '255')], [], ''' Precedence order ''', 'precedence', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('reoptimize-period', ATTRIBUTE, 'int' , None, None, [('60', '604800')], [], ''' PCE reoptimization period for PCE-based paths ''', 'reoptimize_period', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('request-timeout', ATTRIBUTE, 'int' , None, None, [('5', '100')], [], ''' Request timeout value in seconds ''', 'request_timeout', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('segment-routing', ATTRIBUTE, 'Empty' , None, None, [], [], ''' PCE segment routing capability ''', 'segment_routing', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('speaker-entity-id', ATTRIBUTE, 'str' , None, None, [(0, 256)], [], ''' PCE speaker entity identifier ''', 'speaker_entity_id', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('timer', REFERENCE_CLASS, 'Timer' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GlobalAttributes.PceAttributes.Timer', [], [], ''' Configure PCE (Path Computation Element) timers ''', 'timer', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'pce-attributes', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GlobalAttributes.SoftPreemption' : { 'meta_info' : _MetaInfoClass('MplsTe.GlobalAttributes.SoftPreemption', False, [ _MetaInfoClassMember('enable', ATTRIBUTE, 'bool' , None, None, [], [], ''' This object controls whether soft preemption is enabled. This object must be set before setting any other objects under the SoftPreemption class. ''', 'enable', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('frr-rewrite', ATTRIBUTE, 'Empty' , None, None, [], [], ''' This object controls whether FRR rewrite during soft preemption is enabled. ''', 'frr_rewrite', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('timeout', ATTRIBUTE, 'int' , None, None, [('1', '300')], [], ''' This object sets the timeout in seconds before hard preemption is triggered. ''', 'timeout', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'soft-preemption', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GlobalAttributes.FastReroute.Timers' : { 'meta_info' : _MetaInfoClass('MplsTe.GlobalAttributes.FastReroute.Timers', False, [ _MetaInfoClassMember('hold-backup', ATTRIBUTE, 'int' , None, None, [('0', '604800')], [], ''' Seconds before backup declared UP (0 disables hold-timer) ''', 'hold_backup', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('promotion', ATTRIBUTE, 'int' , None, None, [('0', '604800')], [], ''' The value of the promotion timer in seconds ''', 'promotion', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'timers', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GlobalAttributes.FastReroute' : { 'meta_info' : _MetaInfoClass('MplsTe.GlobalAttributes.FastReroute', False, [ _MetaInfoClassMember('timers', REFERENCE_CLASS, 'Timers' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GlobalAttributes.FastReroute.Timers', [], [], ''' Configure fast reroute timers ''', 'timers', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'fast-reroute', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GlobalAttributes.PathSelection.LooseMetrics.LooseMetric' : { 'meta_info' : _MetaInfoClass('MplsTe.GlobalAttributes.PathSelection.LooseMetrics.LooseMetric', False, [ _MetaInfoClassMember('class-type', ATTRIBUTE, 'int' , None, None, [('0', '7')], [], ''' Path Selection class Type ''', 'class_type', 'Cisco-IOS-XR-mpls-te-cfg', True), _MetaInfoClassMember('metric-type', REFERENCE_ENUM_CLASS, 'MplsTePathSelectionMetricEnum' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTePathSelectionMetricEnum', [], [], ''' Metric to use for ERO Expansion ''', 'metric_type', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'loose-metric', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GlobalAttributes.PathSelection.LooseMetrics' : { 'meta_info' : _MetaInfoClass('MplsTe.GlobalAttributes.PathSelection.LooseMetrics', False, [ _MetaInfoClassMember('loose-metric', REFERENCE_LIST, 'LooseMetric' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GlobalAttributes.PathSelection.LooseMetrics.LooseMetric', [], [], ''' Path selection Loose ERO Metric configuration ''', 'loose_metric', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'loose-metrics', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GlobalAttributes.PathSelection.Invalidation' : { 'meta_info' : _MetaInfoClass('MplsTe.GlobalAttributes.PathSelection.Invalidation', False, [ _MetaInfoClassMember('path-invalidation-action', REFERENCE_ENUM_CLASS, 'PathInvalidationActionEnum' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'PathInvalidationActionEnum', [], [], ''' Path Invalidation Action ''', 'path_invalidation_action', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('path-invalidation-timeout', ATTRIBUTE, 'int' , None, None, [('0', '60000')], [], ''' Path Invalidation Timeout ''', 'path_invalidation_timeout', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'invalidation', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GlobalAttributes.PathSelection.IgnoreOverloadRole' : { 'meta_info' : _MetaInfoClass('MplsTe.GlobalAttributes.PathSelection.IgnoreOverloadRole', False, [ _MetaInfoClassMember('head', ATTRIBUTE, 'bool' , None, None, [], [], ''' Set if the OL-bit is to be applied to tunnel heads ''', 'head', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('mid', ATTRIBUTE, 'bool' , None, None, [], [], ''' Set if the OL-bit is to be applied to tunnel midpoints ''', 'mid', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('tail', ATTRIBUTE, 'bool' , None, None, [], [], ''' Set if the OL-bit is to be applied to tunnel tails ''', 'tail', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'ignore-overload-role', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GlobalAttributes.PathSelection.LooseAffinities.LooseAffinity' : { 'meta_info' : _MetaInfoClass('MplsTe.GlobalAttributes.PathSelection.LooseAffinities.LooseAffinity', False, [ _MetaInfoClassMember('class-type', ATTRIBUTE, 'int' , None, None, [('0', '7')], [], ''' Path Selection class Type ''', 'class_type', 'Cisco-IOS-XR-mpls-te-cfg', True), _MetaInfoClassMember('affinity', ATTRIBUTE, 'str' , None, None, [], ['[0-9a-fA-F]{1,8}'], ''' Affinity flags ''', 'affinity', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('mask', ATTRIBUTE, 'str' , None, None, [], ['[0-9a-fA-F]{1,8}'], ''' Affinity mask ''', 'mask', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'loose-affinity', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GlobalAttributes.PathSelection.LooseAffinities' : { 'meta_info' : _MetaInfoClass('MplsTe.GlobalAttributes.PathSelection.LooseAffinities', False, [ _MetaInfoClassMember('loose-affinity', REFERENCE_LIST, 'LooseAffinity' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GlobalAttributes.PathSelection.LooseAffinities.LooseAffinity', [], [], ''' Path selection Loose ERO Affinity configuration ''', 'loose_affinity', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'loose-affinities', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GlobalAttributes.PathSelection' : { 'meta_info' : _MetaInfoClass('MplsTe.GlobalAttributes.PathSelection', False, [ _MetaInfoClassMember('cost-limit', ATTRIBUTE, 'int' , None, None, [('1', '4294967295')], [], ''' Path selection cost limit configuration for all tunnels ''', 'cost_limit', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('ignore-overload-role', REFERENCE_CLASS, 'IgnoreOverloadRole' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GlobalAttributes.PathSelection.IgnoreOverloadRole', [], [], ''' Path selection to ignore overload node during CSPF ''', 'ignore_overload_role', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('invalidation', REFERENCE_CLASS, 'Invalidation' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GlobalAttributes.PathSelection.Invalidation', [], [], ''' Path invalidation configuration for all tunnels ''', 'invalidation', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('loose-affinities', REFERENCE_CLASS, 'LooseAffinities' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GlobalAttributes.PathSelection.LooseAffinities', [], [], ''' Path selection Loose ERO Affinity Class configuration ''', 'loose_affinities', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('loose-domain-match', ATTRIBUTE, 'bool' , None, None, [], [], ''' Use only the IGP instance of the incoming interface ''', 'loose_domain_match', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('loose-metrics', REFERENCE_CLASS, 'LooseMetrics' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GlobalAttributes.PathSelection.LooseMetrics', [], [], ''' Path selection Loose ERO Metric Class configuration ''', 'loose_metrics', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('metric', REFERENCE_ENUM_CLASS, 'MplsTePathSelectionMetricEnum' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTePathSelectionMetricEnum', [], [], ''' Metric to use in path calculation ''', 'metric', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('tiebreaker', REFERENCE_ENUM_CLASS, 'MplsTePathSelectionTiebreakerEnum' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTePathSelectionTiebreakerEnum', [], [], ''' CSPF tiebreaker to use in path calculation ''', 'tiebreaker', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'path-selection', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GlobalAttributes.AffinityMappings.AffinityMapping' : { 'meta_info' : _MetaInfoClass('MplsTe.GlobalAttributes.AffinityMappings.AffinityMapping', False, [ _MetaInfoClassMember('affinity-name', ATTRIBUTE, 'str' , None, None, [(0, 32)], [], ''' Affinity Name ''', 'affinity_name', 'Cisco-IOS-XR-mpls-te-cfg', True), _MetaInfoClassMember('value', ATTRIBUTE, 'str' , None, None, [], ['[0-9a-fA-F]{1,8}'], ''' Affinity Value in Hex number or by Bit position ''', 'value', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('value-type', REFERENCE_ENUM_CLASS, 'MplsTeAffinityValueEnum' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTeAffinityValueEnum', [], [], ''' Affinity value type ''', 'value_type', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'affinity-mapping', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GlobalAttributes.AffinityMappings' : { 'meta_info' : _MetaInfoClass('MplsTe.GlobalAttributes.AffinityMappings', False, [ _MetaInfoClassMember('affinity-mapping', REFERENCE_LIST, 'AffinityMapping' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GlobalAttributes.AffinityMappings.AffinityMapping', [], [], ''' Affinity Mapping configuration ''', 'affinity_mapping', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'affinity-mappings', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GlobalAttributes' : { 'meta_info' : _MetaInfoClass('MplsTe.GlobalAttributes', False, [ _MetaInfoClassMember('advertise-explicit-nulls', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Enable explicit-null advertising to PHOP ''', 'advertise_explicit_nulls', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('affinity-mappings', REFERENCE_CLASS, 'AffinityMappings' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GlobalAttributes.AffinityMappings', [], [], ''' Affinity Mapping Table configuration ''', 'affinity_mappings', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('attribute-set', REFERENCE_CLASS, 'AttributeSet' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GlobalAttributes.AttributeSet', [], [], ''' Attribute AttributeSets ''', 'attribute_set', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('auto-bandwidth-collect-frequency', ATTRIBUTE, 'int' , None, None, [('1', '10080')], [], ''' Auto-bandwidth global collection frequency 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[], ''' Configure HW OOR processing in MPLS-TE ''', 'hardware_out_of_resource', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('link-holddown-timer', ATTRIBUTE, 'int' , None, None, [('0', '300')], [], ''' Holddown time for links which had Path Errors in seconds ''', 'link_holddown_timer', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('log-all', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Always set to true ''', 'log_all', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('log-frr-protection', REFERENCE_ENUM_CLASS, 'MplsTeLogFrrProtectionEnum' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTeLogFrrProtectionEnum', [], [], ''' Log FRR Protection messages ''', 'log_frr_protection', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('log-head', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Log all head tunnel events ''', 'log_head', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('log-issu-status', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Log ISSU status messages ''', 'log_issu_status', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('log-mid', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Log all mid tunnel events ''', 'log_mid', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('log-nsr-status', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Log NSR status messages ''', 'log_nsr_status', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('log-preemption', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Log tunnel preemption messages ''', 'log_preemption', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('log-tail', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Log all tail tunnel events ''', 'log_tail', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('loose-path-retry-period', ATTRIBUTE, 'int' , None, None, [('30', '600')], [], ''' Signalling retry for tunnels terminating outside the headend area ''', 'loose_path_retry_period', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('maximum-tunnels', ATTRIBUTE, 'int' , None, None, [('1', '65536')], [], ''' The maximum number of tunnel heads that will be allowed. ''', 'maximum_tunnels', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('mib', REFERENCE_CLASS, 'Mib' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GlobalAttributes.Mib', [], [], ''' MPLS-TE MIB properties ''', 'mib', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('path-selection', REFERENCE_CLASS, 'PathSelection' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GlobalAttributes.PathSelection', [], [], ''' Path selection configuration ''', 'path_selection', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('path-selection-ignore-overload', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Deprecated - do not use ''', 'path_selection_ignore_overload', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('pce-attributes', REFERENCE_CLASS, 'PceAttributes' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GlobalAttributes.PceAttributes', [], [], ''' Configuration MPLS TE PCE attributes ''', 'pce_attributes', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('queues', REFERENCE_CLASS, 'Queues' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GlobalAttributes.Queues', [], [], ''' Configure MPLS TE route priority ''', 'queues', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('reopt-delay-path-protect-switchover-timer', ATTRIBUTE, 'int' , None, None, [('0', '604800')], [], ''' Seconds between path protect switchover and tunnel re-optimization. Set to 0 to disable ''', 'reopt_delay_path_protect_switchover_timer', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('reoptimize-delay-after-affinity-failure-timer', ATTRIBUTE, 'int' , None, None, [('1', '604800')], [], ''' Delay reoptimizing current LSP after affinity failures ''', 'reoptimize_delay_after_affinity_failure_timer', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('reoptimize-delay-after-frr-timer', ATTRIBUTE, 'int' , None, None, [('0', '120')], [], ''' Reoptimization Delay After FRR Value (seconds) ''', 'reoptimize_delay_after_frr_timer', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('reoptimize-delay-cleanup-timer', ATTRIBUTE, 'int' , None, None, [('0', '300')], [], ''' Reoptimization Delay Cleanup Value (seconds) ''', 'reoptimize_delay_cleanup_timer', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('reoptimize-delay-install-timer', ATTRIBUTE, 'int' , None, None, [('0', '3600')], [], ''' Reoptimization Delay Install Value (seconds) 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_MetaInfoClassMember('soft-preemption', REFERENCE_CLASS, 'SoftPreemption' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GlobalAttributes.SoftPreemption', [], [], ''' Soft preemption configuration data ''', 'soft_preemption', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('srlg', REFERENCE_CLASS, 'Srlg' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GlobalAttributes.Srlg', [], [], ''' Configure SRLG values and MPLS-TE properties ''', 'srlg', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'global-attributes', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.TransportProfile.Fault.ProtectionTrigger.Ldi' : { 'meta_info' : _MetaInfoClass('MplsTe.TransportProfile.Fault.ProtectionTrigger.Ldi', False, [ _MetaInfoClassMember('disable', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Disable protection switching due to LDI event ''', 'disable', 'Cisco-IOS-XR-mpls-te-cfg', 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'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.TransportProfile.Fault.ProtectionTrigger.Ldi', [], [], ''' Protection switching due to LDI event ''', 'ldi', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('lkr', REFERENCE_CLASS, 'Lkr' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.TransportProfile.Fault.ProtectionTrigger.Lkr', [], [], ''' Protection switching due to LKR event ''', 'lkr', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'protection-trigger', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.TransportProfile.Fault' : { 'meta_info' : _MetaInfoClass('MplsTe.TransportProfile.Fault', False, [ _MetaInfoClassMember('protection-trigger', REFERENCE_CLASS, 'ProtectionTrigger' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.TransportProfile.Fault.ProtectionTrigger', [], [], ''' OAM events that trigger protection switching ''', 'protection_trigger', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('refresh-interval', ATTRIBUTE, 'int' , None, None, [('1', '20')], [], ''' Periodic refresh interval for fault OAM messages ''', 'refresh_interval', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('wait-to-restore-interval', ATTRIBUTE, 'int' , None, None, [('0', '2147483647')], [], ''' Waiting time before restoring working LSP ''', 'wait_to_restore_interval', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'fault', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.TransportProfile.Alarm.SuppressEvent' : { 'meta_info' : _MetaInfoClass('MplsTe.TransportProfile.Alarm.SuppressEvent', False, [ _MetaInfoClassMember('disable', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Disable alarm suppression ''', 'disable', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'suppress-event', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.TransportProfile.Alarm' : { 'meta_info' : _MetaInfoClass('MplsTe.TransportProfile.Alarm', False, [ _MetaInfoClassMember('enable-alarm', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Enable Transport Profile Alarm ''', 'enable_alarm', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('soak-time', ATTRIBUTE, 'int' , None, None, [('0', '10')], [], ''' Duration of soaking alarms ''', 'soak_time', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('suppress-event', REFERENCE_CLASS, 'SuppressEvent' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.TransportProfile.Alarm.SuppressEvent', [], [], ''' Suppress all tunnel/LSP alarms ''', 'suppress_event', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'alarm', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.TransportProfile.Bfd.MinIntervalStandby' : { 'meta_info' : _MetaInfoClass('MplsTe.TransportProfile.Bfd.MinIntervalStandby', False, [ _MetaInfoClassMember('interval-standby-ms', ATTRIBUTE, 'int' , None, None, [('3', '5000')], [], ''' Hello interval in milli-seconds ''', 'interval_standby_ms', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('interval-standby-us', ATTRIBUTE, 'int' , None, None, [('3000', '5000000')], [], ''' Hello interval in micro-seconds ''', 'interval_standby_us', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'min-interval-standby', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.TransportProfile.Bfd.MinInterval' : { 'meta_info' : _MetaInfoClass('MplsTe.TransportProfile.Bfd.MinInterval', False, [ _MetaInfoClassMember('interval-ms', ATTRIBUTE, 'int' , None, None, [('3', '5000')], [], ''' Hello interval in milli-seconds ''', 'interval_ms', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('interval-us', ATTRIBUTE, 'int' , None, None, [('3000', '5000000')], [], ''' Hello interval in micro-seconds ''', 'interval_us', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'min-interval', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.TransportProfile.Bfd' : { 'meta_info' : _MetaInfoClass('MplsTe.TransportProfile.Bfd', False, [ _MetaInfoClassMember('detection-multiplier', ATTRIBUTE, 'int' , None, None, [('2', '10')], [], ''' Detect multiplier ''', 'detection_multiplier', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('detection-multiplier-standby', ATTRIBUTE, 'int' , None, None, [('2', '10')], [], ''' Detect multiplier for standby transport profile LSP ''', 'detection_multiplier_standby', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('min-interval', REFERENCE_CLASS, 'MinInterval' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.TransportProfile.Bfd.MinInterval', [], [], ''' Hello interval, 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['(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'], ''' Node identifier in IPv4 address format ''', 'node_id', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('tunnel-id', ATTRIBUTE, 'int' , None, None, [('0', '65535')], [], ''' Tunnel identifier in numeric value ''', 'tunnel_id', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'destination', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.TransportProfile.Midpoints.Midpoint.ForwardLsp.ForwardIoMap' : { 'meta_info' : _MetaInfoClass('MplsTe.TransportProfile.Midpoints.Midpoint.ForwardLsp.ForwardIoMap', False, [ _MetaInfoClassMember('in-label', ATTRIBUTE, 'int' , None, None, [('16', '4015')], [], ''' MPLS label ''', 'in_label', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('out-label', ATTRIBUTE, 'int' , None, None, [('16', '1048575')], [], ''' Outgoing MPLS label ''', 'out_label', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('out-link', ATTRIBUTE, 'int' , None, None, [('1', '65535')], [], ''' Transport profile identifier of outgoing link ''', 'out_link', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'forward-io-map', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.TransportProfile.Midpoints.Midpoint.ForwardLsp' : { 'meta_info' : _MetaInfoClass('MplsTe.TransportProfile.Midpoints.Midpoint.ForwardLsp', False, [ _MetaInfoClassMember('forward-bandwidth', ATTRIBUTE, 'int' , None, None, [('0', '4294967295')], [], ''' Bandwidth of forward transport profile LSP ''', 'forward_bandwidth', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('forward-io-map', REFERENCE_CLASS, 'ForwardIoMap' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.TransportProfile.Midpoints.Midpoint.ForwardLsp.ForwardIoMap', [], [], ''' Label cross-connect of forward transport profile LSP ''', 'forward_io_map', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'forward-lsp', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.TransportProfile.Midpoints.Midpoint.ReverseLsp.ReverseIoMap' : { 'meta_info' : _MetaInfoClass('MplsTe.TransportProfile.Midpoints.Midpoint.ReverseLsp.ReverseIoMap', False, [ _MetaInfoClassMember('in-label', ATTRIBUTE, 'int' , None, None, [('16', '4015')], [], ''' MPLS label ''', 'in_label', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('out-label', ATTRIBUTE, 'int' , None, None, [('16', '1048575')], [], ''' Outgoing MPLS label ''', 'out_label', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('out-link', ATTRIBUTE, 'int' , None, None, [('1', '65535')], [], ''' Transport profile identifier of outgoing link ''', 'out_link', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'reverse-io-map', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.TransportProfile.Midpoints.Midpoint.ReverseLsp' : { 'meta_info' : _MetaInfoClass('MplsTe.TransportProfile.Midpoints.Midpoint.ReverseLsp', False, [ _MetaInfoClassMember('reverse-bandwidth', ATTRIBUTE, 'int' , None, None, [('0', '4294967295')], [], ''' Bandwidth of reverse transport profile LSP ''', 'reverse_bandwidth', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('reverse-io-map', REFERENCE_CLASS, 'ReverseIoMap' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.TransportProfile.Midpoints.Midpoint.ReverseLsp.ReverseIoMap', [], [], ''' Label cross-connect of reverse transport profile LSP ''', 'reverse_io_map', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'reverse-lsp', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.TransportProfile.Midpoints.Midpoint' : { 'meta_info' : _MetaInfoClass('MplsTe.TransportProfile.Midpoints.Midpoint', False, [ _MetaInfoClassMember('midpoint-name', ATTRIBUTE, 'str' , None, None, [(0, 64)], [], ''' Name of mid-point ''', 'midpoint_name', 'Cisco-IOS-XR-mpls-te-cfg', True), _MetaInfoClassMember('destination', REFERENCE_CLASS, 'Destination' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.TransportProfile.Midpoints.Midpoint.Destination', [], [], ''' Node identifier, tunnel identifier and optional global identifier of the destination of the LSP ''', 'destination', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('forward-lsp', REFERENCE_CLASS, 'ForwardLsp' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.TransportProfile.Midpoints.Midpoint.ForwardLsp', [], [], ''' Forward transport profile LSP ''', 'forward_lsp', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('lsp-id', ATTRIBUTE, 'int' , None, None, [('0', '65535')], [], ''' Numeric identifier ''', 'lsp_id', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('lsp-protect', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Enable LSP protection ''', 'lsp_protect', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('reverse-lsp', REFERENCE_CLASS, 'ReverseLsp' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.TransportProfile.Midpoints.Midpoint.ReverseLsp', [], [], ''' none ''', 'reverse_lsp', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('source', REFERENCE_CLASS, 'Source' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.TransportProfile.Midpoints.Midpoint.Source', [], [], ''' Node identifier, tunnel identifier and optional global identifier of the source of the LSP ''', 'source', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('tunnel-name', ATTRIBUTE, 'str' , None, None, [], [], ''' Tunnel Name ''', 'tunnel_name', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'midpoint', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.TransportProfile.Midpoints' : { 'meta_info' : _MetaInfoClass('MplsTe.TransportProfile.Midpoints', False, [ _MetaInfoClassMember('midpoint', REFERENCE_LIST, 'Midpoint' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.TransportProfile.Midpoints.Midpoint', [], [], ''' Transport profile mid-point identifier ''', 'midpoint', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'midpoints', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.TransportProfile' : { 'meta_info' : _MetaInfoClass('MplsTe.TransportProfile', False, [ _MetaInfoClassMember('alarm', REFERENCE_CLASS, 'Alarm' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.TransportProfile.Alarm', [], [], ''' Alarm management ''', 'alarm', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('bfd', REFERENCE_CLASS, 'Bfd' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.TransportProfile.Bfd', [], [], ''' Configure BFD parameters ''', 'bfd', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('fault', REFERENCE_CLASS, 'Fault' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.TransportProfile.Fault', [], [], ''' Fault management ''', 'fault', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('global-id', ATTRIBUTE, 'int' , None, None, [('1', '65535')], [], ''' Transport profile global identifier ''', 'global_id', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('midpoints', REFERENCE_CLASS, 'Midpoints' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.TransportProfile.Midpoints', [], [], ''' MPLS-TP tunnel mid-point table ''', 'midpoints', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('node-id', ATTRIBUTE, 'str' , None, None, [], ['(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'], ''' Node identifier in IPv4 address format ''', 'node_id', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'transport-profile', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.Interfaces.Interface.TransportProfileLink.Links.Link' : { 'meta_info' : _MetaInfoClass('MplsTe.Interfaces.Interface.TransportProfileLink.Links.Link', False, [ _MetaInfoClassMember('link-id', ATTRIBUTE, 'int' , None, None, [('1', '65535')], [], ''' Numeric link identifier ''', 'link_id', 'Cisco-IOS-XR-mpls-te-cfg', True), _MetaInfoClassMember('next-hop-address', ATTRIBUTE, 'str' , None, None, [], ['(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'], ''' Next-hop address in IPv4 format ''', 'next_hop_address', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('next-hop-type', REFERENCE_ENUM_CLASS, 'LinkNextHopEnum' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'LinkNextHopEnum', [], [], ''' Next hop type ''', 'next_hop_type', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'link', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.Interfaces.Interface.TransportProfileLink.Links' : { 'meta_info' : _MetaInfoClass('MplsTe.Interfaces.Interface.TransportProfileLink.Links', False, [ _MetaInfoClassMember('link', REFERENCE_LIST, 'Link' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.Interfaces.Interface.TransportProfileLink.Links.Link', [], [], ''' Transport profile link ''', 'link', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'links', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.Interfaces.Interface.TransportProfileLink' : { 'meta_info' : _MetaInfoClass('MplsTe.Interfaces.Interface.TransportProfileLink', False, [ _MetaInfoClassMember('links', REFERENCE_CLASS, 'Links' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.Interfaces.Interface.TransportProfileLink.Links', [], [], ''' Transport profile link table ''', 'links', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'transport-profile-link', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.Interfaces.Interface.Lcac.Switchings.Switching' : { 'meta_info' : _MetaInfoClass('MplsTe.Interfaces.Interface.Lcac.Switchings.Switching', False, [ _MetaInfoClassMember('switching-id', REFERENCE_UNION, 'str' , None, None, [], [], ''' Switching index ''', 'switching_id', 'Cisco-IOS-XR-mpls-te-cfg', True, [ _MetaInfoClassMember('switching-id', REFERENCE_ENUM_CLASS, 'MplsTeSwitchingIndexEnum' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTeSwitchingIndexEnum', [], [], ''' Switching index ''', 'switching_id', 'Cisco-IOS-XR-mpls-te-cfg', True), _MetaInfoClassMember('switching-id', ATTRIBUTE, 'int' , None, None, [('1', '255')], [], ''' Switching index ''', 'switching_id', 'Cisco-IOS-XR-mpls-te-cfg', True), ]), _MetaInfoClassMember('capability', REFERENCE_ENUM_CLASS, 'MplsTeSwitchingCapEnum' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTeSwitchingCapEnum', [], [], ''' Set the local switching capability ''', 'capability', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('encoding', REFERENCE_ENUM_CLASS, 'MplsTeSwitchingEncodingEnum' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTeSwitchingEncodingEnum', [], [], ''' Set the local encoding type ''', 'encoding', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'switching', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.Interfaces.Interface.Lcac.Switchings' : { 'meta_info' : _MetaInfoClass('MplsTe.Interfaces.Interface.Lcac.Switchings', False, [ _MetaInfoClassMember('switching', REFERENCE_LIST, 'Switching' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.Interfaces.Interface.Lcac.Switchings.Switching', [], [], ''' The te-link switching attributes ''', 'switching', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'switchings', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.Interfaces.Interface.Lcac.FloodArea' : { 'meta_info' : _MetaInfoClass('MplsTe.Interfaces.Interface.Lcac.FloodArea', False, [ _MetaInfoClassMember('area-id', ATTRIBUTE, 'int' , None, None, [('-2147483648', '2147483647')], [], ''' Area ID ''', 'area_id', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('igp-type', REFERENCE_ENUM_CLASS, 'MplsLcacFloodingIgpEnum' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsLcacFloodingIgpEnum', [], [], ''' IGP type ''', 'igp_type', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('process-name', ATTRIBUTE, 'str' , None, None, [(0, 32)], [], ''' Process name ''', 'process_name', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'flood-area', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.Interfaces.Interface.Lcac.AttributeNameXr' : { 'meta_info' : _MetaInfoClass('MplsTe.Interfaces.Interface.Lcac.AttributeNameXr', False, [ _MetaInfoClassMember('attribute-name', REFERENCE_LEAFLIST, 'str' , None, None, [], [], ''' Array of Attribute Names ''', 'attribute_name', 'Cisco-IOS-XR-mpls-te-cfg', False, max_elements=32), ], 'Cisco-IOS-XR-mpls-te-cfg', 'attribute-name-xr', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.Interfaces.Interface.Lcac.AttributeNames.AttributeName' : { 'meta_info' : _MetaInfoClass('MplsTe.Interfaces.Interface.Lcac.AttributeNames.AttributeName', False, [ _MetaInfoClassMember('affinity-index', ATTRIBUTE, 'int' , None, None, [('1', '9')], [], ''' Specify the entry index ''', 'affinity_index', 'Cisco-IOS-XR-mpls-te-cfg', True), _MetaInfoClassMember('value', REFERENCE_LEAFLIST, 'str' , None, None, [], [], ''' Array of Attribute Names ''', 'value', 'Cisco-IOS-XR-mpls-te-cfg', False, max_elements=32, min_elements=1), ], 'Cisco-IOS-XR-mpls-te-cfg', 'attribute-name', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.Interfaces.Interface.Lcac.AttributeNames' : { 'meta_info' : _MetaInfoClass('MplsTe.Interfaces.Interface.Lcac.AttributeNames', False, [ _MetaInfoClassMember('attribute-name', REFERENCE_LIST, 'AttributeName' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.Interfaces.Interface.Lcac.AttributeNames.AttributeName', [], [], ''' Set the interface attribute names ''', 'attribute_name', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'attribute-names', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.Interfaces.Interface.Lcac.Srlgs.Srlg' : { 'meta_info' : _MetaInfoClass('MplsTe.Interfaces.Interface.Lcac.Srlgs.Srlg', False, [ _MetaInfoClassMember('srlg-number', ATTRIBUTE, 'int' , None, None, [('0', '4294967295')], [], ''' SRLG membership number ''', 'srlg_number', 'Cisco-IOS-XR-mpls-te-cfg', True), ], 'Cisco-IOS-XR-mpls-te-cfg', 'srlg', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.Interfaces.Interface.Lcac.Srlgs' : { 'meta_info' : _MetaInfoClass('MplsTe.Interfaces.Interface.Lcac.Srlgs', False, [ _MetaInfoClassMember('srlg', REFERENCE_LIST, 'Srlg' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.Interfaces.Interface.Lcac.Srlgs.Srlg', [], [], ''' SRLG membership number ''', 'srlg', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'srlgs', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.Interfaces.Interface.Lcac.UpThresholds' : { 'meta_info' : _MetaInfoClass('MplsTe.Interfaces.Interface.Lcac.UpThresholds', False, [ _MetaInfoClassMember('up-threshold', REFERENCE_LEAFLIST, 'int' , None, None, [('0', '100')], [], ''' Array of up threshold percentage ''', 'up_threshold', 'Cisco-IOS-XR-mpls-te-cfg', False, max_elements=14), ], 'Cisco-IOS-XR-mpls-te-cfg', 'up-thresholds', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.Interfaces.Interface.Lcac.DownThresholds' : { 'meta_info' : _MetaInfoClass('MplsTe.Interfaces.Interface.Lcac.DownThresholds', False, [ _MetaInfoClassMember('down-threshold', REFERENCE_LEAFLIST, 'int' , None, None, [('0', '100')], [], ''' Array of down threshold percentage ''', 'down_threshold', 'Cisco-IOS-XR-mpls-te-cfg', False, max_elements=14), ], 'Cisco-IOS-XR-mpls-te-cfg', 'down-thresholds', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.Interfaces.Interface.Lcac' : { 'meta_info' : _MetaInfoClass('MplsTe.Interfaces.Interface.Lcac', False, [ _MetaInfoClassMember('admin-weight', ATTRIBUTE, 'int' , None, None, [('-2147483648', '2147483647')], [], ''' Set administrative weight for the interface ''', 'admin_weight', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('attribute-flags', ATTRIBUTE, 'str' , None, None, [], ['[0-9a-fA-F]{1,8}'], ''' Set user defined interface attribute flags ''', 'attribute_flags', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('attribute-name-xr', REFERENCE_CLASS, 'AttributeNameXr' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.Interfaces.Interface.Lcac.AttributeNameXr', [], [], ''' Set the interface attribute names ''', 'attribute_name_xr', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('attribute-names', REFERENCE_CLASS, 'AttributeNames' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.Interfaces.Interface.Lcac.AttributeNames', [], [], ''' Attribute name table ''', 'attribute_names', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('bfd', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Enable use of Bidirectional Forwarding Detection ''', 'bfd', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('down-thresholds', REFERENCE_CLASS, 'DownThresholds' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.Interfaces.Interface.Lcac.DownThresholds', [], [], ''' Set thresholds for decreased resource availability in % ''', 'down_thresholds', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('enable', 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'MplsTe.Interfaces.Interface.GlobalAttributes.BackupPaths.BackupPath', [], [], ''' Tunnel interface number ''', 'backup_path', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'backup-paths', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.Interfaces.Interface.GlobalAttributes' : { 'meta_info' : _MetaInfoClass('MplsTe.Interfaces.Interface.GlobalAttributes', False, [ _MetaInfoClassMember('auto-tunnel', REFERENCE_CLASS, 'AutoTunnel' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.Interfaces.Interface.GlobalAttributes.AutoTunnel', [], [], ''' Auto tunnel configuration ''', 'auto_tunnel', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('backup-paths', REFERENCE_CLASS, 'BackupPaths' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.Interfaces.Interface.GlobalAttributes.BackupPaths', [], [], ''' Configure MPLS TE backup tunnels for this interface ''', 'backup_paths', 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'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GmplsNni.TopologyInstances.TopologyInstance.OspfipAddr.Controllers', [], [], ''' GMPLS-NNI controllers ''', 'controllers', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'ospfip-addr', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GmplsNni.TopologyInstances.TopologyInstance' : { 'meta_info' : _MetaInfoClass('MplsTe.GmplsNni.TopologyInstances.TopologyInstance', False, [ _MetaInfoClassMember('igp-instance-name', ATTRIBUTE, 'str' , None, None, [(0, 40)], [], ''' Name of IGP instance ''', 'igp_instance_name', 'Cisco-IOS-XR-mpls-te-cfg', True), _MetaInfoClassMember('igp-type', REFERENCE_ENUM_CLASS, 'MplsTeIgpProtocolEnum' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTeIgpProtocolEnum', [], [], ''' IGP type ''', 'igp_type', 'Cisco-IOS-XR-mpls-te-cfg', True), _MetaInfoClassMember('ospf-area-type', REFERENCE_ENUM_CLASS, 'OspfAreaModeEnum' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'OspfAreaModeEnum', [], [], ''' OSPF area format ''', 'ospf_area_type', 'Cisco-IOS-XR-mpls-te-cfg', True), _MetaInfoClassMember('ospf-int', REFERENCE_LIST, 'OspfInt' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GmplsNni.TopologyInstances.TopologyInstance.OspfInt', [], [], ''' ospf int ''', 'ospf_int', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('ospfip-addr', REFERENCE_LIST, 'OspfipAddr' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GmplsNni.TopologyInstances.TopologyInstance.OspfipAddr', [], [], ''' ospfip addr ''', 'ospfip_addr', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'topology-instance', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GmplsNni.TopologyInstances' : { 'meta_info' : _MetaInfoClass('MplsTe.GmplsNni.TopologyInstances', False, [ _MetaInfoClassMember('topology-instance', REFERENCE_LIST, 'TopologyInstance' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GmplsNni.TopologyInstances.TopologyInstance', [], [], ''' GMPLS-NNI topology instance configuration ''', 'topology_instance', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'topology-instances', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GmplsNni.TunnelHeads.TunnelHead.SignalledBandwidth' : { 'meta_info' : _MetaInfoClass('MplsTe.GmplsNni.TunnelHeads.TunnelHead.SignalledBandwidth', False, [ _MetaInfoClassMember('bitrate', ATTRIBUTE, 'int' , None, None, [('-2147483648', '2147483647')], [], ''' Bitrate value in Kbps for ODUflex framing type ''', 'bitrate', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('od-uflex-framing-type', REFERENCE_ENUM_CLASS, 'OtnSignaledBandwidthFlexFramingEnum' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'OtnSignaledBandwidthFlexFramingEnum', [], [], ''' Framing type in case of ODUflex signal type ''', 'od_uflex_framing_type', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('signalled-bandwidth-type', REFERENCE_ENUM_CLASS, 'OtnSignaledBandwidthEnum' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'OtnSignaledBandwidthEnum', [], [], ''' The g.709 signal type requested ''', 'signalled_bandwidth_type', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'signalled-bandwidth', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GmplsNni.TunnelHeads.TunnelHead.ProtectionSwitching' : { 'meta_info' : _MetaInfoClass('MplsTe.GmplsNni.TunnelHeads.TunnelHead.ProtectionSwitching', False, [ _MetaInfoClassMember('lockout', REFERENCE_ENUM_CLASS, 'OtnProtectionSwitchLockoutEnum' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'OtnProtectionSwitchLockoutEnum', [], [], ''' The configuration is used to prevent switch over for a particular path type in tunnel ''', 'lockout', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'protection-switching', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GmplsNni.TunnelHeads.TunnelHead.Logging' : { 'meta_info' : _MetaInfoClass('MplsTe.GmplsNni.TunnelHeads.TunnelHead.Logging', False, [ _MetaInfoClassMember('active-lsp-message', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Log all tunnel messages for changes in Active LSP ''', 'active_lsp_message', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('homepath-state-message', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Log all messages for changes in state of Homepath of Working LSP ''', 'homepath_state_message', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('insufficient-bw-message', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Log tunnel messages for insufficient bandwidth ''', 'insufficient_bw_message', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('path-change-message', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Log all tunnel messages for changes in path-change ''', 'path_change_message', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('signalling-state-message', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Log all tunnel sub-LSP state messages ''', 'signalling_state_message', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('static-cross-connect-message', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Log all tunnel messages for static cross-connect messages ''', 'static_cross_connect_message', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('tunnel-state-message', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Log all tunnel messages for changes in tunnel-state ''', 'tunnel_state_message', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'logging', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GmplsNni.TunnelHeads.TunnelHead.PathOptions.PathOption' : { 'meta_info' : _MetaInfoClass('MplsTe.GmplsNni.TunnelHeads.TunnelHead.PathOptions.PathOption', False, [ _MetaInfoClassMember('preference-level', ATTRIBUTE, 'int' , None, None, [('1', '1000')], [], ''' Preference level for this path option ''', 'preference_level', 'Cisco-IOS-XR-mpls-te-cfg', True), _MetaInfoClassMember('lockdown', REFERENCE_ENUM_CLASS, 'MplsTePathOptionPropertyEnum' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTePathOptionPropertyEnum', [], [], ''' Lockdown properties ''', 'lockdown', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('path-id', ATTRIBUTE, 'int' , None, None, [('1', '65535')], [], ''' The ID of the IP explicit path associated with this option ''', 'path_id', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('path-name', ATTRIBUTE, 'str' , None, None, [], [], ''' The name of the IP explicit path associated with this option ''', 'path_name', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('path-type', REFERENCE_ENUM_CLASS, 'MplsTePathOptionEnum' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTePathOptionEnum', [], [], ''' The type of the path option ''', 'path_type', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('protected-by-preference-level', ATTRIBUTE, 'int' , None, None, [('1', '1001')], [], ''' Preference level of the protecting explicit path. ''', 'protected_by_preference_level', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('restore-by-preference-level', ATTRIBUTE, 'int' , None, None, [('1', '1000')], [], ''' Preference level of the restore path. ''', 'restore_by_preference_level', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('xro-attribute-set-name', ATTRIBUTE, 'str' , None, None, [(0, 64)], [], ''' The name of the XRO attribute set to be used for this path-option ''', 'xro_attribute_set_name', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('xro-type', ATTRIBUTE, 'Empty' , None, None, [], [], ''' The route-exclusion type ''', 'xro_type', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'path-option', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GmplsNni.TunnelHeads.TunnelHead.PathOptions' : { 'meta_info' : _MetaInfoClass('MplsTe.GmplsNni.TunnelHeads.TunnelHead.PathOptions', False, [ _MetaInfoClassMember('path-option', REFERENCE_LIST, 'PathOption' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GmplsNni.TunnelHeads.TunnelHead.PathOptions.PathOption', [], [], ''' The existence of this configuration indicates the path options have been set for the tunnel ''', 'path_option', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'path-options', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GmplsNni.TunnelHeads.TunnelHead.StaticUni' : { 'meta_info' : _MetaInfoClass('MplsTe.GmplsNni.TunnelHeads.TunnelHead.StaticUni', False, [ _MetaInfoClassMember('egress-controller-if-index', ATTRIBUTE, 'int' , None, None, [('-2147483648', '2147483647')], [], ''' Interface index of Egress controller ''', 'egress_controller_if_index', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('ingress-controller-name', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' Name of ingress controller ''', 'ingress_controller_name', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'static-uni', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GmplsNni.TunnelHeads.TunnelHead' : { 'meta_info' : _MetaInfoClass('MplsTe.GmplsNni.TunnelHeads.TunnelHead', False, [ _MetaInfoClassMember('tunnel-id', ATTRIBUTE, 'int' , None, None, [('0', '65535')], [], ''' Tunnel ID ''', 'tunnel_id', 'Cisco-IOS-XR-mpls-te-cfg', True), _MetaInfoClassMember('current-lsp-shutdown', ATTRIBUTE, 'Empty' , None, None, [], [], ''' The existence of this configuration indicates the current/working LSP of tunnel is shutdown ''', 'current_lsp_shutdown', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('destination', ATTRIBUTE, 'str' , None, None, [], ['(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'], ''' The existence of this configuration indicates the destination has been set for the tunnel ''', 'destination', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('enable', ATTRIBUTE, 'Empty' , None, None, [], [], ''' The existence of this configuration indicates the a new GMPLS NNI tunnel has been enabled ''', 'enable', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('logging', REFERENCE_CLASS, 'Logging' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GmplsNni.TunnelHeads.TunnelHead.Logging', [], [], ''' Tunnel event logging ''', 'logging', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('path-options', REFERENCE_CLASS, 'PathOptions' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GmplsNni.TunnelHeads.TunnelHead.PathOptions', [], [], ''' GMPLS NNI path options ''', 'path_options', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('path-protection-attribute-set-profile', ATTRIBUTE, 'str' , None, None, [(0, 64)], [], ''' The name of the path-protection profile to be included in signalling messages ''', 'path_protection_attribute_set_profile', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('path-selection-metric', REFERENCE_ENUM_CLASS, 'MplsTePathSelectionMetricEnum' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTePathSelectionMetricEnum', [], [], ''' Path selection configuration for this specific tunnel ''', 'path_selection_metric', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('payload', REFERENCE_ENUM_CLASS, 'OtnPayloadEnum' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'OtnPayloadEnum', [], [], ''' The existence of this configuration indicates the Payload type have been set for the tunnel ''', 'payload', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('protection-switching', REFERENCE_CLASS, 'ProtectionSwitching' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GmplsNni.TunnelHeads.TunnelHead.ProtectionSwitching', [], [], ''' The configuration for a GMPLS NNI tunnel protection switch ''', 'protection_switching', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('record-route', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Record the route used by the tunnel ''', 'record_route', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('restore-lsp-shutdown', ATTRIBUTE, 'Empty' , None, None, [], [], ''' The existence of this configuration indicates the restore LSP of tunnel is shutdown ''', 'restore_lsp_shutdown', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('shutdown', ATTRIBUTE, 'Empty' , None, None, [], [], ''' The existence of this configuration indicates the tunnel is shutdown ''', 'shutdown', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('signalled-bandwidth', REFERENCE_CLASS, 'SignalledBandwidth' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GmplsNni.TunnelHeads.TunnelHead.SignalledBandwidth', [], [], ''' The existence of this configuration indicates the signalled bandwidth has been set for the tunnel ''', 'signalled_bandwidth', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('signalled-name', ATTRIBUTE, 'str' , None, None, [(0, 254)], [], ''' The name of the tunnel to be included in signalling messages ''', 'signalled_name', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('standby-lsp-shutdown', ATTRIBUTE, 'Empty' , None, None, [], [], ''' The existence of this configuration indicates the standby/protect LSP of tunnel is shutdown ''', 'standby_lsp_shutdown', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('static-uni', REFERENCE_CLASS, 'StaticUni' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GmplsNni.TunnelHeads.TunnelHead.StaticUni', [], [], ''' The existence of this configuration indicates the static UNI endpoints have been set for the tunnel ''', 'static_uni', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'tunnel-head', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GmplsNni.TunnelHeads' : { 'meta_info' : _MetaInfoClass('MplsTe.GmplsNni.TunnelHeads', False, [ _MetaInfoClassMember('tunnel-head', REFERENCE_LIST, 'TunnelHead' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GmplsNni.TunnelHeads.TunnelHead', [], [], ''' The configuration for a GMPLS NNI tunnel head-end ''', 'tunnel_head', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'tunnel-heads', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.GmplsNni' : { 'meta_info' : _MetaInfoClass('MplsTe.GmplsNni', False, [ _MetaInfoClassMember('enable-gmpls-nni', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Enable MPLS Traffic Engineering GMPLS-NNI ''', 'enable_gmpls_nni', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('path-selection-metric', REFERENCE_ENUM_CLASS, 'MplsTePathSelectionMetricEnum' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTePathSelectionMetricEnum', [], [], ''' Path selection configuration for all gmpls nni tunnels ''', 'path_selection_metric', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('topology-instances', REFERENCE_CLASS, 'TopologyInstances' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GmplsNni.TopologyInstances', [], [], ''' GMPLS-NNI topology instance table ''', 'topology_instances', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('tunnel-heads', REFERENCE_CLASS, 'TunnelHeads' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GmplsNni.TunnelHeads', [], [], ''' GMPLS-NNI tunnel-head table ''', 'tunnel_heads', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'gmpls-nni', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.Lcac.Bfd' : { 'meta_info' : _MetaInfoClass('MplsTe.Lcac.Bfd', False, [ _MetaInfoClassMember('detection-multiplier', ATTRIBUTE, 'int' , None, None, [('2', '10')], [], ''' Detection multiplier for BFD sessions created by TE ''', 'detection_multiplier', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('interval', ATTRIBUTE, 'int' , None, None, [('15', '200')], [], ''' Hello interval for BFD sessions created by TE ''', 'interval', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'bfd', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.Lcac.FloodingThreshold' : { 'meta_info' : _MetaInfoClass('MplsTe.Lcac.FloodingThreshold', False, [ _MetaInfoClassMember('down-stream', ATTRIBUTE, 'int' , None, None, [('0', '100')], [], ''' Downward flooding Threshold in percentages of total bandwidth ''', 'down_stream', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('up-stream', ATTRIBUTE, 'int' , None, None, [('0', '100')], [], ''' Upward flooding Threshold in percentages of total bandwidth ''', 'up_stream', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'flooding-threshold', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe.Lcac' : { 'meta_info' : _MetaInfoClass('MplsTe.Lcac', False, [ _MetaInfoClassMember('bandwidth-hold-timer', ATTRIBUTE, 'int' , None, None, [('1', '300')], [], ''' Bandwidth hold timer value (seconds) ''', 'bandwidth_hold_timer', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('bfd', REFERENCE_CLASS, 'Bfd' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.Lcac.Bfd', [], [], ''' BFD configuration ''', 'bfd', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('delay-preempt-bundle-capacity-timer', ATTRIBUTE, 'int' , None, None, [('0', '300')], [], ''' Bundle capacity preemption timer value (seconds) ''', 'delay_preempt_bundle_capacity_timer', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('flooding-threshold', REFERENCE_CLASS, 'FloodingThreshold' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.Lcac.FloodingThreshold', [], [], ''' Configure flooding threshold as percentage of total link bandwidth. ''', 'flooding_threshold', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('periodic-flooding-timer', ATTRIBUTE, 'int' , None, None, [('0', '3600')], [], ''' Periodic flooding value (seconds) ''', 'periodic_flooding_timer', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'lcac', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, 'MplsTe' : { 'meta_info' : _MetaInfoClass('MplsTe', False, [ _MetaInfoClassMember('diff-serv-traffic-engineering', REFERENCE_CLASS, 'DiffServTrafficEngineering' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.DiffServTrafficEngineering', [], [], ''' Configure Diff-Serv Traffic-Engineering ''', 'diff_serv_traffic_engineering', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('enable-traffic-engineering', ATTRIBUTE, 'Empty' , None, None, [], [], ''' Enable MPLS Traffic Engineering ''', 'enable_traffic_engineering', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('global-attributes', REFERENCE_CLASS, 'GlobalAttributes' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GlobalAttributes', [], [], ''' Configure MPLS TE global attributes ''', 'global_attributes', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('gmpls-nni', REFERENCE_CLASS, 'GmplsNni' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GmplsNni', [], [], ''' GMPLS-NNI configuration ''', 'gmpls_nni', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('gmpls-uni', REFERENCE_CLASS, 'GmplsUni' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.GmplsUni', [], [], ''' GMPLS-UNI configuration ''', 'gmpls_uni', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('interfaces', REFERENCE_CLASS, 'Interfaces' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.Interfaces', [], [], ''' Configure MPLS TE interfaces ''', 'interfaces', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('lcac', REFERENCE_CLASS, 'Lcac' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.Lcac', [], [], ''' LCAC specific MPLS global configuration ''', 'lcac', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('named-tunnels', REFERENCE_CLASS, 'NamedTunnels' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.NamedTunnels', [], [], ''' Configure MPLS TE tunnel ''', 'named_tunnels', 'Cisco-IOS-XR-mpls-te-cfg', False), _MetaInfoClassMember('transport-profile', REFERENCE_CLASS, 'TransportProfile' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg', 'MplsTe.TransportProfile', [], [], ''' MPLS transport profile configuration data ''', 'transport_profile', 'Cisco-IOS-XR-mpls-te-cfg', False), ], 'Cisco-IOS-XR-mpls-te-cfg', 'mpls-te', _yang_ns._namespaces['Cisco-IOS-XR-mpls-te-cfg'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_mpls_te_cfg' ), }, } _meta_table['MplsTe.DiffServTrafficEngineering.Classes.Class_']['meta_info'].parent =_meta_table['MplsTe.DiffServTrafficEngineering.Classes']['meta_info'] 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_meta_table['MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.NewStyleAffinityAffinityTypes.NewStyleAffinityAffinityTypeAffinity1Affinity2Affinity3Affinity4Affinity5Affinity6Affinity7']['meta_info'].parent =_meta_table['MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.NewStyleAffinityAffinityTypes']['meta_info'] _meta_table['MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.NewStyleAffinityAffinityTypes.NewStyleAffinityAffinityTypeAffinity1Affinity2Affinity3Affinity4Affinity5Affinity6Affinity7Affinity8']['meta_info'].parent =_meta_table['MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.NewStyleAffinityAffinityTypes']['meta_info'] _meta_table['MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.NewStyleAffinityAffinityTypes.NewStyleAffinityAffinityTypeAffinity1Affinity2Affinity3Affinity4Affinity5Affinity6Affinity7Affinity8Affinity9']['meta_info'].parent =_meta_table['MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.NewStyleAffinityAffinityTypes']['meta_info'] _meta_table['MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.NewStyleAffinityAffinityTypes.NewStyleAffinityAffinityTypeAffinity1Affinity2Affinity3Affinity4Affinity5Affinity6Affinity7Affinity8Affinity9Affinity10']['meta_info'].parent =_meta_table['MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.NewStyleAffinityAffinityTypes']['meta_info'] _meta_table['MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.PathSetups']['meta_info'].parent =_meta_table['MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes']['meta_info'] _meta_table['MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.TunnelPathSelection']['meta_info'].parent =_meta_table['MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes']['meta_info'] _meta_table['MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.AutoBandwidth']['meta_info'].parent =_meta_table['MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes']['meta_info'] _meta_table['MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes.Priority']['meta_info'].parent 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_meta_table['MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelAttributes']['meta_info'].parent =_meta_table['MplsTe.NamedTunnels.Tunnels.Tunnel']['meta_info'] _meta_table['MplsTe.NamedTunnels.Tunnels.Tunnel.TunnelId']['meta_info'].parent =_meta_table['MplsTe.NamedTunnels.Tunnels.Tunnel']['meta_info'] _meta_table['MplsTe.NamedTunnels.Tunnels.Tunnel']['meta_info'].parent =_meta_table['MplsTe.NamedTunnels.Tunnels']['meta_info'] _meta_table['MplsTe.NamedTunnels.Tunnels']['meta_info'].parent =_meta_table['MplsTe.NamedTunnels']['meta_info'] _meta_table['MplsTe.GmplsUni.Timers.PathOptionTimers.Holddown']['meta_info'].parent =_meta_table['MplsTe.GmplsUni.Timers.PathOptionTimers']['meta_info'] _meta_table['MplsTe.GmplsUni.Timers.PathOptionTimers']['meta_info'].parent =_meta_table['MplsTe.GmplsUni.Timers']['meta_info'] _meta_table['MplsTe.GmplsUni.Controllers.Controller.GmplsUnitunnelHead.PathOptions.PathOption']['meta_info'].parent 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_meta_table['MplsTe.GlobalAttributes.AttributeSet.AutoMeshAttributes.AutoMeshAttribute.PathSelection']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes.AttributeSet.AutoMeshAttributes.AutoMeshAttribute']['meta_info'] _meta_table['MplsTe.GlobalAttributes.AttributeSet.AutoMeshAttributes.AutoMeshAttribute.PolicyClasses']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes.AttributeSet.AutoMeshAttributes.AutoMeshAttribute']['meta_info'] _meta_table['MplsTe.GlobalAttributes.AttributeSet.AutoMeshAttributes.AutoMeshAttribute.NewStyleAffinityAffinityTypes']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes.AttributeSet.AutoMeshAttributes.AutoMeshAttribute']['meta_info'] _meta_table['MplsTe.GlobalAttributes.AttributeSet.AutoMeshAttributes.AutoMeshAttribute.FastReroute']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes.AttributeSet.AutoMeshAttributes.AutoMeshAttribute']['meta_info'] _meta_table['MplsTe.GlobalAttributes.AttributeSet.AutoMeshAttributes.AutoMeshAttribute']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes.AttributeSet.AutoMeshAttributes']['meta_info'] _meta_table['MplsTe.GlobalAttributes.AttributeSet.XroAttributes.XroAttribute.PathDiversity.Srlgs.Srlg']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes.AttributeSet.XroAttributes.XroAttribute.PathDiversity.Srlgs']['meta_info'] _meta_table['MplsTe.GlobalAttributes.AttributeSet.XroAttributes.XroAttribute.PathDiversity.Lsp.Fecs.Fec']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes.AttributeSet.XroAttributes.XroAttribute.PathDiversity.Lsp.Fecs']['meta_info'] _meta_table['MplsTe.GlobalAttributes.AttributeSet.XroAttributes.XroAttribute.PathDiversity.Lsp.Fecs']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes.AttributeSet.XroAttributes.XroAttribute.PathDiversity.Lsp']['meta_info'] _meta_table['MplsTe.GlobalAttributes.AttributeSet.XroAttributes.XroAttribute.PathDiversity.Srlgs']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes.AttributeSet.XroAttributes.XroAttribute.PathDiversity']['meta_info'] _meta_table['MplsTe.GlobalAttributes.AttributeSet.XroAttributes.XroAttribute.PathDiversity.Lsp']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes.AttributeSet.XroAttributes.XroAttribute.PathDiversity']['meta_info'] _meta_table['MplsTe.GlobalAttributes.AttributeSet.XroAttributes.XroAttribute.PathDiversity']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes.AttributeSet.XroAttributes.XroAttribute']['meta_info'] _meta_table['MplsTe.GlobalAttributes.AttributeSet.XroAttributes.XroAttribute.PathSelection']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes.AttributeSet.XroAttributes.XroAttribute']['meta_info'] _meta_table['MplsTe.GlobalAttributes.AttributeSet.XroAttributes.XroAttribute']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes.AttributeSet.XroAttributes']['meta_info'] _meta_table['MplsTe.GlobalAttributes.AttributeSet.PathOptionAttributes']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes.AttributeSet']['meta_info'] _meta_table['MplsTe.GlobalAttributes.AttributeSet.P2MpteAttributes']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes.AttributeSet']['meta_info'] _meta_table['MplsTe.GlobalAttributes.AttributeSet.P2PTeAttributes']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes.AttributeSet']['meta_info'] _meta_table['MplsTe.GlobalAttributes.AttributeSet.AutoBackupAttributes']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes.AttributeSet']['meta_info'] _meta_table['MplsTe.GlobalAttributes.AttributeSet.OtnPpAttributes']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes.AttributeSet']['meta_info'] _meta_table['MplsTe.GlobalAttributes.AttributeSet.AutoMeshAttributes']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes.AttributeSet']['meta_info'] _meta_table['MplsTe.GlobalAttributes.AttributeSet.XroAttributes']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes.AttributeSet']['meta_info'] _meta_table['MplsTe.GlobalAttributes.BfdOverLsp.Tail']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes.BfdOverLsp']['meta_info'] _meta_table['MplsTe.GlobalAttributes.BfdOverLsp.Head']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes.BfdOverLsp']['meta_info'] _meta_table['MplsTe.GlobalAttributes.PceAttributes.PceStateful.StatefulTimers']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes.PceAttributes.PceStateful']['meta_info'] _meta_table['MplsTe.GlobalAttributes.PceAttributes.Peers.Peer']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes.PceAttributes.Peers']['meta_info'] _meta_table['MplsTe.GlobalAttributes.PceAttributes.Logging.Events']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes.PceAttributes.Logging']['meta_info'] _meta_table['MplsTe.GlobalAttributes.PceAttributes.PceStateful']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes.PceAttributes']['meta_info'] _meta_table['MplsTe.GlobalAttributes.PceAttributes.Timer']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes.PceAttributes']['meta_info'] _meta_table['MplsTe.GlobalAttributes.PceAttributes.Peers']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes.PceAttributes']['meta_info'] _meta_table['MplsTe.GlobalAttributes.PceAttributes.Logging']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes.PceAttributes']['meta_info'] _meta_table['MplsTe.GlobalAttributes.FastReroute.Timers']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes.FastReroute']['meta_info'] _meta_table['MplsTe.GlobalAttributes.PathSelection.LooseMetrics.LooseMetric']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes.PathSelection.LooseMetrics']['meta_info'] _meta_table['MplsTe.GlobalAttributes.PathSelection.LooseAffinities.LooseAffinity']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes.PathSelection.LooseAffinities']['meta_info'] _meta_table['MplsTe.GlobalAttributes.PathSelection.LooseMetrics']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes.PathSelection']['meta_info'] _meta_table['MplsTe.GlobalAttributes.PathSelection.Invalidation']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes.PathSelection']['meta_info'] _meta_table['MplsTe.GlobalAttributes.PathSelection.IgnoreOverloadRole']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes.PathSelection']['meta_info'] _meta_table['MplsTe.GlobalAttributes.PathSelection.LooseAffinities']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes.PathSelection']['meta_info'] _meta_table['MplsTe.GlobalAttributes.AffinityMappings.AffinityMapping']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes.AffinityMappings']['meta_info'] _meta_table['MplsTe.GlobalAttributes.AutoTunnel']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes']['meta_info'] _meta_table['MplsTe.GlobalAttributes.HardwareOutOfResource']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes']['meta_info'] _meta_table['MplsTe.GlobalAttributes.SecondaryRouterIds']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes']['meta_info'] _meta_table['MplsTe.GlobalAttributes.Srlg']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes']['meta_info'] _meta_table['MplsTe.GlobalAttributes.Queues']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes']['meta_info'] _meta_table['MplsTe.GlobalAttributes.Mib']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes']['meta_info'] _meta_table['MplsTe.GlobalAttributes.AttributeSet']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes']['meta_info'] _meta_table['MplsTe.GlobalAttributes.BfdOverLsp']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes']['meta_info'] _meta_table['MplsTe.GlobalAttributes.PceAttributes']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes']['meta_info'] _meta_table['MplsTe.GlobalAttributes.SoftPreemption']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes']['meta_info'] _meta_table['MplsTe.GlobalAttributes.FastReroute']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes']['meta_info'] _meta_table['MplsTe.GlobalAttributes.PathSelection']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes']['meta_info'] _meta_table['MplsTe.GlobalAttributes.AffinityMappings']['meta_info'].parent =_meta_table['MplsTe.GlobalAttributes']['meta_info'] _meta_table['MplsTe.TransportProfile.Fault.ProtectionTrigger.Ldi']['meta_info'].parent =_meta_table['MplsTe.TransportProfile.Fault.ProtectionTrigger']['meta_info'] _meta_table['MplsTe.TransportProfile.Fault.ProtectionTrigger.Lkr']['meta_info'].parent =_meta_table['MplsTe.TransportProfile.Fault.ProtectionTrigger']['meta_info'] _meta_table['MplsTe.TransportProfile.Fault.ProtectionTrigger']['meta_info'].parent =_meta_table['MplsTe.TransportProfile.Fault']['meta_info'] _meta_table['MplsTe.TransportProfile.Alarm.SuppressEvent']['meta_info'].parent =_meta_table['MplsTe.TransportProfile.Alarm']['meta_info'] _meta_table['MplsTe.TransportProfile.Bfd.MinIntervalStandby']['meta_info'].parent =_meta_table['MplsTe.TransportProfile.Bfd']['meta_info'] _meta_table['MplsTe.TransportProfile.Bfd.MinInterval']['meta_info'].parent =_meta_table['MplsTe.TransportProfile.Bfd']['meta_info'] _meta_table['MplsTe.TransportProfile.Midpoints.Midpoint.ForwardLsp.ForwardIoMap']['meta_info'].parent =_meta_table['MplsTe.TransportProfile.Midpoints.Midpoint.ForwardLsp']['meta_info'] _meta_table['MplsTe.TransportProfile.Midpoints.Midpoint.ReverseLsp.ReverseIoMap']['meta_info'].parent =_meta_table['MplsTe.TransportProfile.Midpoints.Midpoint.ReverseLsp']['meta_info'] _meta_table['MplsTe.TransportProfile.Midpoints.Midpoint.Source']['meta_info'].parent =_meta_table['MplsTe.TransportProfile.Midpoints.Midpoint']['meta_info'] _meta_table['MplsTe.TransportProfile.Midpoints.Midpoint.Destination']['meta_info'].parent =_meta_table['MplsTe.TransportProfile.Midpoints.Midpoint']['meta_info'] _meta_table['MplsTe.TransportProfile.Midpoints.Midpoint.ForwardLsp']['meta_info'].parent =_meta_table['MplsTe.TransportProfile.Midpoints.Midpoint']['meta_info'] _meta_table['MplsTe.TransportProfile.Midpoints.Midpoint.ReverseLsp']['meta_info'].parent =_meta_table['MplsTe.TransportProfile.Midpoints.Midpoint']['meta_info'] _meta_table['MplsTe.TransportProfile.Midpoints.Midpoint']['meta_info'].parent =_meta_table['MplsTe.TransportProfile.Midpoints']['meta_info'] _meta_table['MplsTe.TransportProfile.Fault']['meta_info'].parent =_meta_table['MplsTe.TransportProfile']['meta_info'] _meta_table['MplsTe.TransportProfile.Alarm']['meta_info'].parent =_meta_table['MplsTe.TransportProfile']['meta_info'] _meta_table['MplsTe.TransportProfile.Bfd']['meta_info'].parent =_meta_table['MplsTe.TransportProfile']['meta_info'] _meta_table['MplsTe.TransportProfile.Midpoints']['meta_info'].parent =_meta_table['MplsTe.TransportProfile']['meta_info'] _meta_table['MplsTe.Interfaces.Interface.TransportProfileLink.Links.Link']['meta_info'].parent =_meta_table['MplsTe.Interfaces.Interface.TransportProfileLink.Links']['meta_info'] _meta_table['MplsTe.Interfaces.Interface.TransportProfileLink.Links']['meta_info'].parent =_meta_table['MplsTe.Interfaces.Interface.TransportProfileLink']['meta_info'] _meta_table['MplsTe.Interfaces.Interface.Lcac.Switchings.Switching']['meta_info'].parent =_meta_table['MplsTe.Interfaces.Interface.Lcac.Switchings']['meta_info'] _meta_table['MplsTe.Interfaces.Interface.Lcac.AttributeNames.AttributeName']['meta_info'].parent =_meta_table['MplsTe.Interfaces.Interface.Lcac.AttributeNames']['meta_info'] _meta_table['MplsTe.Interfaces.Interface.Lcac.Srlgs.Srlg']['meta_info'].parent =_meta_table['MplsTe.Interfaces.Interface.Lcac.Srlgs']['meta_info'] _meta_table['MplsTe.Interfaces.Interface.Lcac.Switchings']['meta_info'].parent =_meta_table['MplsTe.Interfaces.Interface.Lcac']['meta_info'] _meta_table['MplsTe.Interfaces.Interface.Lcac.FloodArea']['meta_info'].parent =_meta_table['MplsTe.Interfaces.Interface.Lcac']['meta_info'] _meta_table['MplsTe.Interfaces.Interface.Lcac.AttributeNameXr']['meta_info'].parent =_meta_table['MplsTe.Interfaces.Interface.Lcac']['meta_info'] _meta_table['MplsTe.Interfaces.Interface.Lcac.AttributeNames']['meta_info'].parent =_meta_table['MplsTe.Interfaces.Interface.Lcac']['meta_info'] _meta_table['MplsTe.Interfaces.Interface.Lcac.Srlgs']['meta_info'].parent =_meta_table['MplsTe.Interfaces.Interface.Lcac']['meta_info'] _meta_table['MplsTe.Interfaces.Interface.Lcac.UpThresholds']['meta_info'].parent =_meta_table['MplsTe.Interfaces.Interface.Lcac']['meta_info'] _meta_table['MplsTe.Interfaces.Interface.Lcac.DownThresholds']['meta_info'].parent =_meta_table['MplsTe.Interfaces.Interface.Lcac']['meta_info'] _meta_table['MplsTe.Interfaces.Interface.GlobalAttributes.BackupTunnels.BackupTunnel']['meta_info'].parent =_meta_table['MplsTe.Interfaces.Interface.GlobalAttributes.BackupTunnels']['meta_info'] _meta_table['MplsTe.Interfaces.Interface.GlobalAttributes.AutoTunnel.Backup.Exclude']['meta_info'].parent =_meta_table['MplsTe.Interfaces.Interface.GlobalAttributes.AutoTunnel.Backup']['meta_info'] _meta_table['MplsTe.Interfaces.Interface.GlobalAttributes.AutoTunnel.Backup']['meta_info'].parent =_meta_table['MplsTe.Interfaces.Interface.GlobalAttributes.AutoTunnel']['meta_info'] _meta_table['MplsTe.Interfaces.Interface.GlobalAttributes.BackupPaths.BackupPath']['meta_info'].parent =_meta_table['MplsTe.Interfaces.Interface.GlobalAttributes.BackupPaths']['meta_info'] _meta_table['MplsTe.Interfaces.Interface.GlobalAttributes.BackupTunnels']['meta_info'].parent =_meta_table['MplsTe.Interfaces.Interface.GlobalAttributes']['meta_info'] _meta_table['MplsTe.Interfaces.Interface.GlobalAttributes.AutoTunnel']['meta_info'].parent =_meta_table['MplsTe.Interfaces.Interface.GlobalAttributes']['meta_info'] _meta_table['MplsTe.Interfaces.Interface.GlobalAttributes.BackupPaths']['meta_info'].parent =_meta_table['MplsTe.Interfaces.Interface.GlobalAttributes']['meta_info'] _meta_table['MplsTe.Interfaces.Interface.TransportProfileLink']['meta_info'].parent =_meta_table['MplsTe.Interfaces.Interface']['meta_info'] _meta_table['MplsTe.Interfaces.Interface.Lcac']['meta_info'].parent =_meta_table['MplsTe.Interfaces.Interface']['meta_info'] _meta_table['MplsTe.Interfaces.Interface.GlobalAttributes']['meta_info'].parent =_meta_table['MplsTe.Interfaces.Interface']['meta_info'] _meta_table['MplsTe.Interfaces.Interface']['meta_info'].parent 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_meta_table['MplsTe.GmplsNni.TopologyInstances.TopologyInstance.OspfipAddr.Controllers.Controller']['meta_info'].parent =_meta_table['MplsTe.GmplsNni.TopologyInstances.TopologyInstance.OspfipAddr.Controllers']['meta_info'] _meta_table['MplsTe.GmplsNni.TopologyInstances.TopologyInstance.OspfipAddr.Controllers']['meta_info'].parent =_meta_table['MplsTe.GmplsNni.TopologyInstances.TopologyInstance.OspfipAddr']['meta_info'] _meta_table['MplsTe.GmplsNni.TopologyInstances.TopologyInstance.OspfInt']['meta_info'].parent =_meta_table['MplsTe.GmplsNni.TopologyInstances.TopologyInstance']['meta_info'] _meta_table['MplsTe.GmplsNni.TopologyInstances.TopologyInstance.OspfipAddr']['meta_info'].parent =_meta_table['MplsTe.GmplsNni.TopologyInstances.TopologyInstance']['meta_info'] _meta_table['MplsTe.GmplsNni.TopologyInstances.TopologyInstance']['meta_info'].parent =_meta_table['MplsTe.GmplsNni.TopologyInstances']['meta_info'] _meta_table['MplsTe.GmplsNni.TunnelHeads.TunnelHead.PathOptions.PathOption']['meta_info'].parent =_meta_table['MplsTe.GmplsNni.TunnelHeads.TunnelHead.PathOptions']['meta_info'] _meta_table['MplsTe.GmplsNni.TunnelHeads.TunnelHead.SignalledBandwidth']['meta_info'].parent =_meta_table['MplsTe.GmplsNni.TunnelHeads.TunnelHead']['meta_info'] _meta_table['MplsTe.GmplsNni.TunnelHeads.TunnelHead.ProtectionSwitching']['meta_info'].parent =_meta_table['MplsTe.GmplsNni.TunnelHeads.TunnelHead']['meta_info'] _meta_table['MplsTe.GmplsNni.TunnelHeads.TunnelHead.Logging']['meta_info'].parent =_meta_table['MplsTe.GmplsNni.TunnelHeads.TunnelHead']['meta_info'] _meta_table['MplsTe.GmplsNni.TunnelHeads.TunnelHead.PathOptions']['meta_info'].parent =_meta_table['MplsTe.GmplsNni.TunnelHeads.TunnelHead']['meta_info'] _meta_table['MplsTe.GmplsNni.TunnelHeads.TunnelHead.StaticUni']['meta_info'].parent =_meta_table['MplsTe.GmplsNni.TunnelHeads.TunnelHead']['meta_info'] _meta_table['MplsTe.GmplsNni.TunnelHeads.TunnelHead']['meta_info'].parent =_meta_table['MplsTe.GmplsNni.TunnelHeads']['meta_info'] _meta_table['MplsTe.GmplsNni.TopologyInstances']['meta_info'].parent =_meta_table['MplsTe.GmplsNni']['meta_info'] _meta_table['MplsTe.GmplsNni.TunnelHeads']['meta_info'].parent =_meta_table['MplsTe.GmplsNni']['meta_info'] _meta_table['MplsTe.Lcac.Bfd']['meta_info'].parent =_meta_table['MplsTe.Lcac']['meta_info'] _meta_table['MplsTe.Lcac.FloodingThreshold']['meta_info'].parent =_meta_table['MplsTe.Lcac']['meta_info'] _meta_table['MplsTe.DiffServTrafficEngineering']['meta_info'].parent =_meta_table['MplsTe']['meta_info'] _meta_table['MplsTe.NamedTunnels']['meta_info'].parent =_meta_table['MplsTe']['meta_info'] _meta_table['MplsTe.GmplsUni']['meta_info'].parent =_meta_table['MplsTe']['meta_info'] _meta_table['MplsTe.GlobalAttributes']['meta_info'].parent =_meta_table['MplsTe']['meta_info'] _meta_table['MplsTe.TransportProfile']['meta_info'].parent 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7
d1d82b864cfb192cf0fff8eab19bf7de0072b126
148
py
Python
src/ltkit/__init__.py
ptr-yudai/ltkit
a0f82712c7391a2ed2d06d2a80be982256cae5fa
[ "MIT" ]
1
2016-05-05T17:05:54.000Z
2016-05-05T17:05:54.000Z
src/ltkit/__init__.py
ptr-yudai/ltkit
a0f82712c7391a2ed2d06d2a80be982256cae5fa
[ "MIT" ]
1
2016-05-05T17:31:35.000Z
2016-05-06T08:37:32.000Z
src/ltkit/__init__.py
ptr-yudai/ltkit
a0f82712c7391a2ed2d06d2a80be982256cae5fa
[ "MIT" ]
null
null
null
import module.message import mod_screenshot import network.server import network.client import panel.client.post import panel.client.questionnaire
18.5
33
0.864865
20
148
6.35
0.55
0.204724
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0.087838
148
7
34
21.142857
0.940741
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true
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null
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1
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1
0
0
7
ae5cfd61ac03d51b4c5a1366eeecabf71f3e7593
86
py
Python
tests/test_version.py
Kludex/fastapi-2fa
e0db1b9f6b9719c2a405d5d9d598b26ba73b54c5
[ "MIT" ]
1
2021-01-05T11:49:07.000Z
2021-01-05T11:49:07.000Z
tests/test_version.py
Kludex/fastapi-2fa
e0db1b9f6b9719c2a405d5d9d598b26ba73b54c5
[ "MIT" ]
null
null
null
tests/test_version.py
Kludex/fastapi-2fa
e0db1b9f6b9719c2a405d5d9d598b26ba73b54c5
[ "MIT" ]
null
null
null
import fastapi_2fa def test_version(): assert fastapi_2fa.__version__ == "0.1.0"
17.2
45
0.732558
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86
4.307692
0.692308
0.357143
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0.333333
true
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null
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7
881d3cc5098b4e5431f690d0da78ab29e202d3d8
59,200
py
Python
strongdm/svc.py
strongdm/strongdm-sdk-python
6abe6fa5b2a6f268bc6983cdfe96a8481b734c97
[ "Apache-2.0" ]
3
2020-10-22T04:54:22.000Z
2022-03-24T20:26:03.000Z
strongdm/svc.py
strongdm/strongdm-sdk-python
6abe6fa5b2a6f268bc6983cdfe96a8481b734c97
[ "Apache-2.0" ]
1
2021-12-02T17:08:36.000Z
2021-12-06T23:55:29.000Z
strongdm/svc.py
strongdm/strongdm-sdk-python
6abe6fa5b2a6f268bc6983cdfe96a8481b734c97
[ "Apache-2.0" ]
3
2020-04-28T22:07:27.000Z
2021-01-21T19:13:31.000Z
# Copyright 2020 StrongDM Inc # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # # This file was generated by protogen. DO NOT EDIT. import grpc from . import plumbing from . import models from .options_pb2 import * from .options_pb2_grpc import * from .spec_pb2 import * from .spec_pb2_grpc import * from .tags_pb2 import * from .tags_pb2_grpc import * from .account_attachments_pb2 import * from .account_attachments_pb2_grpc import * from .account_grants_pb2 import * from .account_grants_pb2_grpc import * from .accounts_pb2 import * from .accounts_pb2_grpc import * from .control_panel_pb2 import * from .control_panel_pb2_grpc import * from .drivers_pb2 import * from .drivers_pb2_grpc import * from .nodes_pb2 import * from .nodes_pb2_grpc import * from .resources_pb2 import * from .resources_pb2_grpc import * from .role_attachments_pb2 import * from .role_attachments_pb2_grpc import * from .role_grants_pb2 import * from .role_grants_pb2_grpc import * from .roles_pb2 import * from .roles_pb2_grpc import * from .secret_store_types_pb2 import * from .secret_store_types_pb2_grpc import * from .secret_stores_pb2 import * from .secret_stores_pb2_grpc import * class AccountAttachments: """AccountAttachments assign an account to a role or composite role.""" def __init__(self, channel, client): self.parent = client self.stub = AccountAttachmentsStub(channel) def create(self, account_attachment, timeout=None): """Create registers a new AccountAttachment.""" req = AccountAttachmentCreateRequest() if account_attachment is not None: req.account_attachment.CopyFrom( plumbing.convert_account_attachment_to_plumbing( account_attachment)) tries = 0 plumbing_response = None while True: try: plumbing_response = self.stub.Create( req, metadata=self.parent.get_metadata( 'AccountAttachments.Create', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e break resp = models.AccountAttachmentCreateResponse() resp.meta = plumbing.convert_create_response_metadata_to_porcelain( plumbing_response.meta) resp.account_attachment = plumbing.convert_account_attachment_to_porcelain( plumbing_response.account_attachment) resp.rate_limit = plumbing.convert_rate_limit_metadata_to_porcelain( plumbing_response.rate_limit) return resp def get(self, id, timeout=None): """Get reads one AccountAttachment by ID.""" req = AccountAttachmentGetRequest() req.id = (id) tries = 0 plumbing_response = None while True: try: plumbing_response = self.stub.Get( req, metadata=self.parent.get_metadata('AccountAttachments.Get', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e break resp = models.AccountAttachmentGetResponse() resp.meta = plumbing.convert_get_response_metadata_to_porcelain( plumbing_response.meta) resp.account_attachment = plumbing.convert_account_attachment_to_porcelain( plumbing_response.account_attachment) resp.rate_limit = plumbing.convert_rate_limit_metadata_to_porcelain( plumbing_response.rate_limit) return resp def delete(self, id, timeout=None): """Delete removes a AccountAttachment by ID.""" req = AccountAttachmentDeleteRequest() req.id = (id) tries = 0 plumbing_response = None while True: try: plumbing_response = self.stub.Delete( req, metadata=self.parent.get_metadata( 'AccountAttachments.Delete', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e break resp = models.AccountAttachmentDeleteResponse() resp.meta = plumbing.convert_delete_response_metadata_to_porcelain( plumbing_response.meta) resp.rate_limit = plumbing.convert_rate_limit_metadata_to_porcelain( plumbing_response.rate_limit) return resp def list(self, filter, *args, timeout=None): """List gets a list of AccountAttachments matching a given set of criteria.""" req = AccountAttachmentListRequest() req.meta.CopyFrom(ListRequestMetadata()) page_size_option = self.parent._test_options.get('PageSize') if isinstance(page_size_option, int): req.meta.limit = page_size_option req.filter = plumbing.quote_filter_args(filter, *args) def generator(svc, req): tries = 0 while True: try: plumbing_response = svc.stub.List( req, metadata=svc.parent.get_metadata( 'AccountAttachments.List', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e tries = 0 for plumbing_item in plumbing_response.account_attachments: yield plumbing.convert_account_attachment_to_porcelain( plumbing_item) if plumbing_response.meta.next_cursor == '': break req.meta.cursor = plumbing_response.meta.next_cursor return generator(self, req) class AccountGrants: """AccountGrants assign a resource directly to an account, giving the account the permission to connect to that resource.""" def __init__(self, channel, client): self.parent = client self.stub = AccountGrantsStub(channel) def create(self, account_grant, timeout=None): """Create registers a new AccountGrant.""" req = AccountGrantCreateRequest() if account_grant is not None: req.account_grant.CopyFrom( plumbing.convert_account_grant_to_plumbing(account_grant)) tries = 0 plumbing_response = None while True: try: plumbing_response = self.stub.Create( req, metadata=self.parent.get_metadata('AccountGrants.Create', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e break resp = models.AccountGrantCreateResponse() resp.meta = plumbing.convert_create_response_metadata_to_porcelain( plumbing_response.meta) resp.account_grant = plumbing.convert_account_grant_to_porcelain( plumbing_response.account_grant) resp.rate_limit = plumbing.convert_rate_limit_metadata_to_porcelain( plumbing_response.rate_limit) return resp def get(self, id, timeout=None): """Get reads one AccountGrant by ID.""" req = AccountGrantGetRequest() req.id = (id) tries = 0 plumbing_response = None while True: try: plumbing_response = self.stub.Get( req, metadata=self.parent.get_metadata('AccountGrants.Get', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e break resp = models.AccountGrantGetResponse() resp.meta = plumbing.convert_get_response_metadata_to_porcelain( plumbing_response.meta) resp.account_grant = plumbing.convert_account_grant_to_porcelain( plumbing_response.account_grant) resp.rate_limit = plumbing.convert_rate_limit_metadata_to_porcelain( plumbing_response.rate_limit) return resp def delete(self, id, timeout=None): """Delete removes a AccountGrant by ID.""" req = AccountGrantDeleteRequest() req.id = (id) tries = 0 plumbing_response = None while True: try: plumbing_response = self.stub.Delete( req, metadata=self.parent.get_metadata('AccountGrants.Delete', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e break resp = models.AccountGrantDeleteResponse() resp.meta = plumbing.convert_delete_response_metadata_to_porcelain( plumbing_response.meta) resp.rate_limit = plumbing.convert_rate_limit_metadata_to_porcelain( plumbing_response.rate_limit) return resp def list(self, filter, *args, timeout=None): """List gets a list of AccountGrants matching a given set of criteria.""" req = AccountGrantListRequest() req.meta.CopyFrom(ListRequestMetadata()) page_size_option = self.parent._test_options.get('PageSize') if isinstance(page_size_option, int): req.meta.limit = page_size_option req.filter = plumbing.quote_filter_args(filter, *args) def generator(svc, req): tries = 0 while True: try: plumbing_response = svc.stub.List( req, metadata=svc.parent.get_metadata( 'AccountGrants.List', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e tries = 0 for plumbing_item in plumbing_response.account_grants: yield plumbing.convert_account_grant_to_porcelain( plumbing_item) if plumbing_response.meta.next_cursor == '': break req.meta.cursor = plumbing_response.meta.next_cursor return generator(self, req) class Accounts: """Accounts are users that have access to strongDM. There are two types of accounts: 1. **Users:** humans who are authenticated through username and password or SSO. 2. **Service Accounts:** machines that are authenticated using a service token.""" def __init__(self, channel, client): self.parent = client self.stub = AccountsStub(channel) def create(self, account, timeout=None): """Create registers a new Account.""" req = AccountCreateRequest() if account is not None: req.account.CopyFrom(plumbing.convert_account_to_plumbing(account)) tries = 0 plumbing_response = None while True: try: plumbing_response = self.stub.Create( req, metadata=self.parent.get_metadata('Accounts.Create', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e break resp = models.AccountCreateResponse() resp.meta = plumbing.convert_create_response_metadata_to_porcelain( plumbing_response.meta) resp.account = plumbing.convert_account_to_porcelain( plumbing_response.account) resp.token = (plumbing_response.token) resp.rate_limit = plumbing.convert_rate_limit_metadata_to_porcelain( plumbing_response.rate_limit) return resp def get(self, id, timeout=None): """Get reads one Account by ID.""" req = AccountGetRequest() req.id = (id) tries = 0 plumbing_response = None while True: try: plumbing_response = self.stub.Get( req, metadata=self.parent.get_metadata('Accounts.Get', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e break resp = models.AccountGetResponse() resp.meta = plumbing.convert_get_response_metadata_to_porcelain( plumbing_response.meta) resp.account = plumbing.convert_account_to_porcelain( plumbing_response.account) resp.rate_limit = plumbing.convert_rate_limit_metadata_to_porcelain( plumbing_response.rate_limit) return resp def update(self, account, timeout=None): """Update patches a Account by ID.""" req = AccountUpdateRequest() if account is not None: req.account.CopyFrom(plumbing.convert_account_to_plumbing(account)) tries = 0 plumbing_response = None while True: try: plumbing_response = self.stub.Update( req, metadata=self.parent.get_metadata('Accounts.Update', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e break resp = models.AccountUpdateResponse() resp.meta = plumbing.convert_update_response_metadata_to_porcelain( plumbing_response.meta) resp.account = plumbing.convert_account_to_porcelain( plumbing_response.account) resp.rate_limit = plumbing.convert_rate_limit_metadata_to_porcelain( plumbing_response.rate_limit) return resp def delete(self, id, timeout=None): """Delete removes a Account by ID.""" req = AccountDeleteRequest() req.id = (id) tries = 0 plumbing_response = None while True: try: plumbing_response = self.stub.Delete( req, metadata=self.parent.get_metadata('Accounts.Delete', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e break resp = models.AccountDeleteResponse() resp.meta = plumbing.convert_delete_response_metadata_to_porcelain( plumbing_response.meta) resp.rate_limit = plumbing.convert_rate_limit_metadata_to_porcelain( plumbing_response.rate_limit) return resp def list(self, filter, *args, timeout=None): """List gets a list of Accounts matching a given set of criteria.""" req = AccountListRequest() req.meta.CopyFrom(ListRequestMetadata()) page_size_option = self.parent._test_options.get('PageSize') if isinstance(page_size_option, int): req.meta.limit = page_size_option req.filter = plumbing.quote_filter_args(filter, *args) def generator(svc, req): tries = 0 while True: try: plumbing_response = svc.stub.List( req, metadata=svc.parent.get_metadata('Accounts.List', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e tries = 0 for plumbing_item in plumbing_response.accounts: yield plumbing.convert_account_to_porcelain(plumbing_item) if plumbing_response.meta.next_cursor == '': break req.meta.cursor = plumbing_response.meta.next_cursor return generator(self, req) class ControlPanel: """ControlPanel contains all administrative controls.""" def __init__(self, channel, client): self.parent = client self.stub = ControlPanelStub(channel) def get_sshca_public_key(self, timeout=None): """GetSSHCAPublicKey retrieves the SSH CA public key.""" req = ControlPanelGetSSHCAPublicKeyRequest() tries = 0 plumbing_response = None while True: try: plumbing_response = self.stub.GetSSHCAPublicKey( req, metadata=self.parent.get_metadata( 'ControlPanel.GetSSHCAPublicKey', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e break resp = models.ControlPanelGetSSHCAPublicKeyResponse() resp.meta = plumbing.convert_get_response_metadata_to_porcelain( plumbing_response.meta) resp.public_key = (plumbing_response.public_key) resp.rate_limit = plumbing.convert_rate_limit_metadata_to_porcelain( plumbing_response.rate_limit) return resp def verify_jwt(self, token, timeout=None): """VerifyJWT reports whether the given JWT token (x-sdm-token) is valid.""" req = ControlPanelVerifyJWTRequest() req.token = (token) tries = 0 plumbing_response = None while True: try: plumbing_response = self.stub.VerifyJWT( req, metadata=self.parent.get_metadata('ControlPanel.VerifyJWT', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e break resp = models.ControlPanelVerifyJWTResponse() resp.meta = plumbing.convert_get_response_metadata_to_porcelain( plumbing_response.meta) resp.valid = (plumbing_response.valid) resp.rate_limit = plumbing.convert_rate_limit_metadata_to_porcelain( plumbing_response.rate_limit) return resp class Nodes: """Nodes make up the strongDM network, and allow your users to connect securely to your resources. There are two types of nodes: - **Gateways** are the entry points into network. They listen for connection from the strongDM client, and provide access to databases and servers. - **Relays** are used to extend the strongDM network into segmented subnets. They provide access to databases and servers but do not listen for incoming connections.""" def __init__(self, channel, client): self.parent = client self.stub = NodesStub(channel) def create(self, node, timeout=None): """Create registers a new Node.""" req = NodeCreateRequest() if node is not None: req.node.CopyFrom(plumbing.convert_node_to_plumbing(node)) tries = 0 plumbing_response = None while True: try: plumbing_response = self.stub.Create( req, metadata=self.parent.get_metadata('Nodes.Create', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e break resp = models.NodeCreateResponse() resp.meta = plumbing.convert_create_response_metadata_to_porcelain( plumbing_response.meta) resp.node = plumbing.convert_node_to_porcelain(plumbing_response.node) resp.token = (plumbing_response.token) resp.rate_limit = plumbing.convert_rate_limit_metadata_to_porcelain( plumbing_response.rate_limit) return resp def get(self, id, timeout=None): """Get reads one Node by ID.""" req = NodeGetRequest() req.id = (id) tries = 0 plumbing_response = None while True: try: plumbing_response = self.stub.Get( req, metadata=self.parent.get_metadata('Nodes.Get', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e break resp = models.NodeGetResponse() resp.meta = plumbing.convert_get_response_metadata_to_porcelain( plumbing_response.meta) resp.node = plumbing.convert_node_to_porcelain(plumbing_response.node) resp.rate_limit = plumbing.convert_rate_limit_metadata_to_porcelain( plumbing_response.rate_limit) return resp def update(self, node, timeout=None): """Update patches a Node by ID.""" req = NodeUpdateRequest() if node is not None: req.node.CopyFrom(plumbing.convert_node_to_plumbing(node)) tries = 0 plumbing_response = None while True: try: plumbing_response = self.stub.Update( req, metadata=self.parent.get_metadata('Nodes.Update', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e break resp = models.NodeUpdateResponse() resp.meta = plumbing.convert_update_response_metadata_to_porcelain( plumbing_response.meta) resp.node = plumbing.convert_node_to_porcelain(plumbing_response.node) resp.rate_limit = plumbing.convert_rate_limit_metadata_to_porcelain( plumbing_response.rate_limit) return resp def delete(self, id, timeout=None): """Delete removes a Node by ID.""" req = NodeDeleteRequest() req.id = (id) tries = 0 plumbing_response = None while True: try: plumbing_response = self.stub.Delete( req, metadata=self.parent.get_metadata('Nodes.Delete', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e break resp = models.NodeDeleteResponse() resp.meta = plumbing.convert_delete_response_metadata_to_porcelain( plumbing_response.meta) resp.rate_limit = plumbing.convert_rate_limit_metadata_to_porcelain( plumbing_response.rate_limit) return resp def list(self, filter, *args, timeout=None): """List gets a list of Nodes matching a given set of criteria.""" req = NodeListRequest() req.meta.CopyFrom(ListRequestMetadata()) page_size_option = self.parent._test_options.get('PageSize') if isinstance(page_size_option, int): req.meta.limit = page_size_option req.filter = plumbing.quote_filter_args(filter, *args) def generator(svc, req): tries = 0 while True: try: plumbing_response = svc.stub.List( req, metadata=svc.parent.get_metadata('Nodes.List', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e tries = 0 for plumbing_item in plumbing_response.nodes: yield plumbing.convert_node_to_porcelain(plumbing_item) if plumbing_response.meta.next_cursor == '': break req.meta.cursor = plumbing_response.meta.next_cursor return generator(self, req) class Resources: """""" def __init__(self, channel, client): self.parent = client self.stub = ResourcesStub(channel) def enumerate_tags(self, filter, *args, timeout=None): """EnumerateTags gets a list of the filter matching tags.""" req = EnumerateTagsRequest() req.meta.CopyFrom(ListRequestMetadata()) page_size_option = self.parent._test_options.get('PageSize') if isinstance(page_size_option, int): req.meta.limit = page_size_option req.filter = plumbing.quote_filter_args(filter, *args) def generator(svc, req): tries = 0 while True: try: plumbing_response = svc.stub.EnumerateTags( req, metadata=svc.parent.get_metadata( 'Resources.EnumerateTags', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e tries = 0 for plumbing_item in plumbing_response.matches: yield plumbing.convert_tag_to_porcelain(plumbing_item) if plumbing_response.meta.next_cursor == '': break req.meta.cursor = plumbing_response.meta.next_cursor return generator(self, req) def create(self, resource, timeout=None): """Create registers a new Resource.""" req = ResourceCreateRequest() if resource is not None: req.resource.CopyFrom( plumbing.convert_resource_to_plumbing(resource)) tries = 0 plumbing_response = None while True: try: plumbing_response = self.stub.Create( req, metadata=self.parent.get_metadata('Resources.Create', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e break resp = models.ResourceCreateResponse() resp.meta = plumbing.convert_create_response_metadata_to_porcelain( plumbing_response.meta) resp.resource = plumbing.convert_resource_to_porcelain( plumbing_response.resource) resp.rate_limit = plumbing.convert_rate_limit_metadata_to_porcelain( plumbing_response.rate_limit) return resp def get(self, id, timeout=None): """Get reads one Resource by ID.""" req = ResourceGetRequest() req.id = (id) tries = 0 plumbing_response = None while True: try: plumbing_response = self.stub.Get( req, metadata=self.parent.get_metadata('Resources.Get', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e break resp = models.ResourceGetResponse() resp.meta = plumbing.convert_get_response_metadata_to_porcelain( plumbing_response.meta) resp.resource = plumbing.convert_resource_to_porcelain( plumbing_response.resource) resp.rate_limit = plumbing.convert_rate_limit_metadata_to_porcelain( plumbing_response.rate_limit) return resp def update(self, resource, timeout=None): """Update patches a Resource by ID.""" req = ResourceUpdateRequest() if resource is not None: req.resource.CopyFrom( plumbing.convert_resource_to_plumbing(resource)) tries = 0 plumbing_response = None while True: try: plumbing_response = self.stub.Update( req, metadata=self.parent.get_metadata('Resources.Update', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e break resp = models.ResourceUpdateResponse() resp.meta = plumbing.convert_update_response_metadata_to_porcelain( plumbing_response.meta) resp.resource = plumbing.convert_resource_to_porcelain( plumbing_response.resource) resp.rate_limit = plumbing.convert_rate_limit_metadata_to_porcelain( plumbing_response.rate_limit) return resp def delete(self, id, timeout=None): """Delete removes a Resource by ID.""" req = ResourceDeleteRequest() req.id = (id) tries = 0 plumbing_response = None while True: try: plumbing_response = self.stub.Delete( req, metadata=self.parent.get_metadata('Resources.Delete', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e break resp = models.ResourceDeleteResponse() resp.meta = plumbing.convert_delete_response_metadata_to_porcelain( plumbing_response.meta) resp.rate_limit = plumbing.convert_rate_limit_metadata_to_porcelain( plumbing_response.rate_limit) return resp def list(self, filter, *args, timeout=None): """List gets a list of Resources matching a given set of criteria.""" req = ResourceListRequest() req.meta.CopyFrom(ListRequestMetadata()) page_size_option = self.parent._test_options.get('PageSize') if isinstance(page_size_option, int): req.meta.limit = page_size_option req.filter = plumbing.quote_filter_args(filter, *args) def generator(svc, req): tries = 0 while True: try: plumbing_response = svc.stub.List( req, metadata=svc.parent.get_metadata( 'Resources.List', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e tries = 0 for plumbing_item in plumbing_response.resources: yield plumbing.convert_resource_to_porcelain(plumbing_item) if plumbing_response.meta.next_cursor == '': break req.meta.cursor = plumbing_response.meta.next_cursor return generator(self, req) class RoleAttachments: """RoleAttachments represent relationships between composite roles and the roles that make up those composite roles. When a composite role is attached to another role, the permissions granted to members of the composite role are augmented to include the permissions granted to members of the attached role.""" def __init__(self, channel, client): self.parent = client self.stub = RoleAttachmentsStub(channel) def create(self, role_attachment, timeout=None): """Create registers a new RoleAttachment.""" req = RoleAttachmentCreateRequest() if role_attachment is not None: req.role_attachment.CopyFrom( plumbing.convert_role_attachment_to_plumbing(role_attachment)) tries = 0 plumbing_response = None while True: try: plumbing_response = self.stub.Create( req, metadata=self.parent.get_metadata('RoleAttachments.Create', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e break resp = models.RoleAttachmentCreateResponse() resp.meta = plumbing.convert_create_response_metadata_to_porcelain( plumbing_response.meta) resp.role_attachment = plumbing.convert_role_attachment_to_porcelain( plumbing_response.role_attachment) resp.rate_limit = plumbing.convert_rate_limit_metadata_to_porcelain( plumbing_response.rate_limit) return resp def get(self, id, timeout=None): """Get reads one RoleAttachment by ID.""" req = RoleAttachmentGetRequest() req.id = (id) tries = 0 plumbing_response = None while True: try: plumbing_response = self.stub.Get( req, metadata=self.parent.get_metadata('RoleAttachments.Get', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e break resp = models.RoleAttachmentGetResponse() resp.meta = plumbing.convert_get_response_metadata_to_porcelain( plumbing_response.meta) resp.role_attachment = plumbing.convert_role_attachment_to_porcelain( plumbing_response.role_attachment) resp.rate_limit = plumbing.convert_rate_limit_metadata_to_porcelain( plumbing_response.rate_limit) return resp def delete(self, id, timeout=None): """Delete removes a RoleAttachment by ID.""" req = RoleAttachmentDeleteRequest() req.id = (id) tries = 0 plumbing_response = None while True: try: plumbing_response = self.stub.Delete( req, metadata=self.parent.get_metadata('RoleAttachments.Delete', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e break resp = models.RoleAttachmentDeleteResponse() resp.meta = plumbing.convert_delete_response_metadata_to_porcelain( plumbing_response.meta) resp.rate_limit = plumbing.convert_rate_limit_metadata_to_porcelain( plumbing_response.rate_limit) return resp def list(self, filter, *args, timeout=None): """List gets a list of RoleAttachments matching a given set of criteria.""" req = RoleAttachmentListRequest() req.meta.CopyFrom(ListRequestMetadata()) page_size_option = self.parent._test_options.get('PageSize') if isinstance(page_size_option, int): req.meta.limit = page_size_option req.filter = plumbing.quote_filter_args(filter, *args) def generator(svc, req): tries = 0 while True: try: plumbing_response = svc.stub.List( req, metadata=svc.parent.get_metadata( 'RoleAttachments.List', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e tries = 0 for plumbing_item in plumbing_response.role_attachments: yield plumbing.convert_role_attachment_to_porcelain( plumbing_item) if plumbing_response.meta.next_cursor == '': break req.meta.cursor = plumbing_response.meta.next_cursor return generator(self, req) class RoleGrants: """RoleGrants represent relationships between composite roles and the roles that make up those composite roles. When a composite role is attached to another role, the permissions granted to members of the composite role are augmented to include the permissions granted to members of the attached role.""" def __init__(self, channel, client): self.parent = client self.stub = RoleGrantsStub(channel) def create(self, role_grant, timeout=None): """Create registers a new RoleGrant.""" req = RoleGrantCreateRequest() if role_grant is not None: req.role_grant.CopyFrom( plumbing.convert_role_grant_to_plumbing(role_grant)) tries = 0 plumbing_response = None while True: try: plumbing_response = self.stub.Create( req, metadata=self.parent.get_metadata('RoleGrants.Create', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e break resp = models.RoleGrantCreateResponse() resp.meta = plumbing.convert_create_response_metadata_to_porcelain( plumbing_response.meta) resp.role_grant = plumbing.convert_role_grant_to_porcelain( plumbing_response.role_grant) resp.rate_limit = plumbing.convert_rate_limit_metadata_to_porcelain( plumbing_response.rate_limit) return resp def get(self, id, timeout=None): """Get reads one RoleGrant by ID.""" req = RoleGrantGetRequest() req.id = (id) tries = 0 plumbing_response = None while True: try: plumbing_response = self.stub.Get( req, metadata=self.parent.get_metadata('RoleGrants.Get', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e break resp = models.RoleGrantGetResponse() resp.meta = plumbing.convert_get_response_metadata_to_porcelain( plumbing_response.meta) resp.role_grant = plumbing.convert_role_grant_to_porcelain( plumbing_response.role_grant) resp.rate_limit = plumbing.convert_rate_limit_metadata_to_porcelain( plumbing_response.rate_limit) return resp def delete(self, id, timeout=None): """Delete removes a RoleGrant by ID.""" req = RoleGrantDeleteRequest() req.id = (id) tries = 0 plumbing_response = None while True: try: plumbing_response = self.stub.Delete( req, metadata=self.parent.get_metadata('RoleGrants.Delete', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e break resp = models.RoleGrantDeleteResponse() resp.meta = plumbing.convert_delete_response_metadata_to_porcelain( plumbing_response.meta) resp.rate_limit = plumbing.convert_rate_limit_metadata_to_porcelain( plumbing_response.rate_limit) return resp def list(self, filter, *args, timeout=None): """List gets a list of RoleGrants matching a given set of criteria.""" req = RoleGrantListRequest() req.meta.CopyFrom(ListRequestMetadata()) page_size_option = self.parent._test_options.get('PageSize') if isinstance(page_size_option, int): req.meta.limit = page_size_option req.filter = plumbing.quote_filter_args(filter, *args) def generator(svc, req): tries = 0 while True: try: plumbing_response = svc.stub.List( req, metadata=svc.parent.get_metadata( 'RoleGrants.List', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e tries = 0 for plumbing_item in plumbing_response.role_grants: yield plumbing.convert_role_grant_to_porcelain( plumbing_item) if plumbing_response.meta.next_cursor == '': break req.meta.cursor = plumbing_response.meta.next_cursor return generator(self, req) class Roles: """Roles are tools for controlling user access to resources. Each Role holds a list of resources which they grant access to. Composite roles are a special type of Role which have no resource associations of their own, but instead grant access to the combined resources associated with a set of child roles. Each user can be a member of one Role or composite role.""" def __init__(self, channel, client): self.parent = client self.stub = RolesStub(channel) def create(self, role, timeout=None): """Create registers a new Role.""" req = RoleCreateRequest() if role is not None: req.role.CopyFrom(plumbing.convert_role_to_plumbing(role)) tries = 0 plumbing_response = None while True: try: plumbing_response = self.stub.Create( req, metadata=self.parent.get_metadata('Roles.Create', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e break resp = models.RoleCreateResponse() resp.meta = plumbing.convert_create_response_metadata_to_porcelain( plumbing_response.meta) resp.role = plumbing.convert_role_to_porcelain(plumbing_response.role) resp.rate_limit = plumbing.convert_rate_limit_metadata_to_porcelain( plumbing_response.rate_limit) return resp def get(self, id, timeout=None): """Get reads one Role by ID.""" req = RoleGetRequest() req.id = (id) tries = 0 plumbing_response = None while True: try: plumbing_response = self.stub.Get( req, metadata=self.parent.get_metadata('Roles.Get', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e break resp = models.RoleGetResponse() resp.meta = plumbing.convert_get_response_metadata_to_porcelain( plumbing_response.meta) resp.role = plumbing.convert_role_to_porcelain(plumbing_response.role) resp.rate_limit = plumbing.convert_rate_limit_metadata_to_porcelain( plumbing_response.rate_limit) return resp def update(self, role, timeout=None): """Update patches a Role by ID.""" req = RoleUpdateRequest() if role is not None: req.role.CopyFrom(plumbing.convert_role_to_plumbing(role)) tries = 0 plumbing_response = None while True: try: plumbing_response = self.stub.Update( req, metadata=self.parent.get_metadata('Roles.Update', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e break resp = models.RoleUpdateResponse() resp.meta = plumbing.convert_update_response_metadata_to_porcelain( plumbing_response.meta) resp.role = plumbing.convert_role_to_porcelain(plumbing_response.role) resp.rate_limit = plumbing.convert_rate_limit_metadata_to_porcelain( plumbing_response.rate_limit) return resp def delete(self, id, timeout=None): """Delete removes a Role by ID.""" req = RoleDeleteRequest() req.id = (id) tries = 0 plumbing_response = None while True: try: plumbing_response = self.stub.Delete( req, metadata=self.parent.get_metadata('Roles.Delete', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e break resp = models.RoleDeleteResponse() resp.meta = plumbing.convert_delete_response_metadata_to_porcelain( plumbing_response.meta) resp.rate_limit = plumbing.convert_rate_limit_metadata_to_porcelain( plumbing_response.rate_limit) return resp def list(self, filter, *args, timeout=None): """List gets a list of Roles matching a given set of criteria.""" req = RoleListRequest() req.meta.CopyFrom(ListRequestMetadata()) page_size_option = self.parent._test_options.get('PageSize') if isinstance(page_size_option, int): req.meta.limit = page_size_option req.filter = plumbing.quote_filter_args(filter, *args) def generator(svc, req): tries = 0 while True: try: plumbing_response = svc.stub.List( req, metadata=svc.parent.get_metadata('Roles.List', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e tries = 0 for plumbing_item in plumbing_response.roles: yield plumbing.convert_role_to_porcelain(plumbing_item) if plumbing_response.meta.next_cursor == '': break req.meta.cursor = plumbing_response.meta.next_cursor return generator(self, req) class SecretStores: """SecretStores are servers where resource secrets (passwords, keys) are stored.""" def __init__(self, channel, client): self.parent = client self.stub = SecretStoresStub(channel) def create(self, secret_store, timeout=None): req = SecretStoreCreateRequest() if secret_store is not None: req.secret_store.CopyFrom( plumbing.convert_secret_store_to_plumbing(secret_store)) tries = 0 plumbing_response = None while True: try: plumbing_response = self.stub.Create( req, metadata=self.parent.get_metadata('SecretStores.Create', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e break resp = models.SecretStoreCreateResponse() resp.meta = plumbing.convert_create_response_metadata_to_porcelain( plumbing_response.meta) resp.secret_store = plumbing.convert_secret_store_to_porcelain( plumbing_response.secret_store) resp.rate_limit = plumbing.convert_rate_limit_metadata_to_porcelain( plumbing_response.rate_limit) return resp def get(self, id, timeout=None): """Get reads one SecretStore by ID.""" req = SecretStoreGetRequest() req.id = (id) tries = 0 plumbing_response = None while True: try: plumbing_response = self.stub.Get( req, metadata=self.parent.get_metadata('SecretStores.Get', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e break resp = models.SecretStoreGetResponse() resp.meta = plumbing.convert_get_response_metadata_to_porcelain( plumbing_response.meta) resp.secret_store = plumbing.convert_secret_store_to_porcelain( plumbing_response.secret_store) resp.rate_limit = plumbing.convert_rate_limit_metadata_to_porcelain( plumbing_response.rate_limit) return resp def update(self, secret_store, timeout=None): """Update patches a SecretStore by ID.""" req = SecretStoreUpdateRequest() if secret_store is not None: req.secret_store.CopyFrom( plumbing.convert_secret_store_to_plumbing(secret_store)) tries = 0 plumbing_response = None while True: try: plumbing_response = self.stub.Update( req, metadata=self.parent.get_metadata('SecretStores.Update', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e break resp = models.SecretStoreUpdateResponse() resp.meta = plumbing.convert_update_response_metadata_to_porcelain( plumbing_response.meta) resp.secret_store = plumbing.convert_secret_store_to_porcelain( plumbing_response.secret_store) resp.rate_limit = plumbing.convert_rate_limit_metadata_to_porcelain( plumbing_response.rate_limit) return resp def delete(self, id, timeout=None): """Delete removes a SecretStore by ID.""" req = SecretStoreDeleteRequest() req.id = (id) tries = 0 plumbing_response = None while True: try: plumbing_response = self.stub.Delete( req, metadata=self.parent.get_metadata('SecretStores.Delete', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e break resp = models.SecretStoreDeleteResponse() resp.meta = plumbing.convert_delete_response_metadata_to_porcelain( plumbing_response.meta) resp.rate_limit = plumbing.convert_rate_limit_metadata_to_porcelain( plumbing_response.rate_limit) return resp def list(self, filter, *args, timeout=None): """List gets a list of SecretStores matching a given set of criteria.""" req = SecretStoreListRequest() req.meta.CopyFrom(ListRequestMetadata()) page_size_option = self.parent._test_options.get('PageSize') if isinstance(page_size_option, int): req.meta.limit = page_size_option req.filter = plumbing.quote_filter_args(filter, *args) def generator(svc, req): tries = 0 while True: try: plumbing_response = svc.stub.List( req, metadata=svc.parent.get_metadata( 'SecretStores.List', req), timeout=timeout) except Exception as e: if self.parent.shouldRetry(tries, e): tries += 1 self.parent.jitterSleep(tries) continue raise plumbing.convert_error_to_porcelain(e) from e tries = 0 for plumbing_item in plumbing_response.secret_stores: yield plumbing.convert_secret_store_to_porcelain( plumbing_item) if plumbing_response.meta.next_cursor == '': break req.meta.cursor = plumbing_response.meta.next_cursor return generator(self, req)
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0.770833
0.770833
0.770833
0
0.003618
0.355743
59,200
1,509
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39.231279
0.856293
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0
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0.014959
0.003923
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0.050673
false
0
0.026128
0
0.119557
0
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0
null
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0
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1
1
1
1
1
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0
0
0
0
0
0
7
88302bec4064c13e6372436a3f120e782d9d0104
122
py
Python
finrl/model/WorldModel/__init__.py
Adwaver4157/WorldModel_for_FinRL
0aa0a984aadffe0f6f2e83e55678c0e9304fba05
[ "MIT" ]
1
2021-05-15T13:13:25.000Z
2021-05-15T13:13:25.000Z
finrl/model/WorldModel/__init__.py
Adwaver4157/WorldModel_for_FinRL
0aa0a984aadffe0f6f2e83e55678c0e9304fba05
[ "MIT" ]
null
null
null
finrl/model/WorldModel/__init__.py
Adwaver4157/WorldModel_for_FinRL
0aa0a984aadffe0f6f2e83e55678c0e9304fba05
[ "MIT" ]
null
null
null
from finrl.model.WorldModel.world_model import WorldModel from finrl.model.WorldModel.policies import CnnPolicy, MlpPolicy
61
64
0.877049
16
122
6.625
0.5625
0.169811
0.264151
0.45283
0
0
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0
0
0.065574
122
2
64
61
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1
0
1
0
0
7
885a54224fb9afa2802464a9c43d70892e9ceb53
171
py
Python
mher/common/__init__.py
YangRui2015/Modular_HER
77acca83d6849d140ab893ec1b472b71e1da08d4
[ "MIT" ]
13
2020-10-31T15:01:44.000Z
2021-11-30T06:51:15.000Z
mher/common/__init__.py
YangRui2015/Modular_HER
77acca83d6849d140ab893ec1b472b71e1da08d4
[ "MIT" ]
1
2021-06-22T14:25:07.000Z
2021-06-23T11:47:37.000Z
mher/common/__init__.py
YangRui2015/Modular_HER
77acca83d6849d140ab893ec1b472b71e1da08d4
[ "MIT" ]
2
2020-11-24T03:26:32.000Z
2021-05-14T01:20:57.000Z
# flake8: noqa F403 from mher.common.console_util import * from mher.common.dataset import Dataset from mher.common.math_util import * from mher.common.misc_util import *
28.5
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0.807018
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0.414815
0.266667
0.355556
0
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0
0.02649
0.116959
171
5
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1
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0
8
887d8e0de2ae6f532fef1c3002eaa75e7115348f
8,254
py
Python
tests/test_discover.py
pyansys/example-coverage
3fa25ab2a4887f66266efee6c1f54b44bdbfe6c9
[ "MIT" ]
2
2022-01-05T05:33:25.000Z
2022-01-26T13:25:58.000Z
tests/test_discover.py
pyansys/example-coverage
3fa25ab2a4887f66266efee6c1f54b44bdbfe6c9
[ "MIT" ]
1
2021-08-19T04:56:53.000Z
2021-08-19T04:56:53.000Z
tests/test_discover.py
pyansys/example-coverage
3fa25ab2a4887f66266efee6c1f54b44bdbfe6c9
[ "MIT" ]
null
null
null
import os import sys import io import pytest from ansys.tools.example_coverage import create_report THIS_PATH = os.path.dirname(os.path.abspath(__file__)) ASSETS_DIRECTORY = os.path.join(THIS_PATH, 'assets') class CaptureStdOut(): """Capture standard output with a context manager.""" def __init__(self): self._stream = io.StringIO() def __enter__(self): sys.stdout = self._stream def __exit__(self, type, value, traceback): sys.stdout = sys.__stdout__ @property def content(self): """Return the captured content.""" return self._stream.getvalue() def test_empty_folder(): """ Test a folder that does not contain any file or folder.""" path = os.path.join(ASSETS_DIRECTORY, "empty_") with pytest.raises(Exception) as excinfo: create_report(path) assert "No python modules found in:" in str(excinfo.value) assert "empty_" in str(excinfo.value) def test_empty_folder_non_recursiveness(): """Ensure that no source files are returned when recursiveness is disabled.""" path = os.path.join(ASSETS_DIRECTORY, "empty_") with pytest.raises(Exception) as excinfo: create_report(path, False) assert "No python modules found in:" in str(excinfo.value) assert "empty_" in str(excinfo.value) def test_only_init_module(): """ Test a folder that contains solely an __init__.py file.""" path = os.path.join(ASSETS_DIRECTORY, "only_init") with pytest.raises(Exception) as excinfo: create_report(path) assert "No python modules found in: " in str(excinfo.value) assert "only_init" in str(excinfo.value) def test_only_init_module_non_recursiveness(): """ Test a folder that contains solely an __init__.py file. Recursiveness is disabled.""" path = os.path.join(ASSETS_DIRECTORY, "only_init") with pytest.raises(Exception) as excinfo: create_report(path, False) assert "No python modules found in: " in str(excinfo.value) assert "only_init" in str(excinfo.value) def test_package_a(): """ The package tested is made of several modules and submodules.""" path = os.path.join(ASSETS_DIRECTORY, "module_a") capture = CaptureStdOut() with capture: create_report(path) assert capture.content == """Name Docstrings Missed Covered ------------------------------------------------------------------------------- module_a.module_aa.module_aa 5 1 80.0% module_a.module_aa.module_aaa.module_aaa 5 1 80.0% module_a.module_ab.module_ab 7 1 85.7% ------------------------------------------------------------------------------- Total 17 3 82.4% """ def test_package_a_non_recursiveness(): """ The package tested is made of several modules and submodules. Recursiveness is disabled.""" path = os.path.join(ASSETS_DIRECTORY, "module_a") with pytest.raises(Exception) as excinfo: create_report(path, False) assert "No python modules found in: " in str(excinfo.value) assert "module_a" in str(excinfo.value) def test_package_aa_non_recursiveness(): """ The package tested is made of several modules and submodules.""" path = os.path.join(ASSETS_DIRECTORY, "module_a", "module_aa") capture = CaptureStdOut() with capture: create_report(path, False) assert capture.content == """Name Docstrings Missed Covered ------------------------------------------------------------------------------- module_aa.module_aa 5 1 80.0% ------------------------------------------------------------------------------- Total 5 1 80.0% """ def test_package_b(): """ The package tested is made of a single module. None __init__.py file is available. In this module, there is a single private function. So, none example is expected for this entire module.""" path = os.path.join(ASSETS_DIRECTORY, "module_b") capture = CaptureStdOut() with capture: create_report(path) assert capture.content == """Name Docstrings Missed Covered ------------------------------------------------------------------------------- module_b.module_b 0 0 100.0% ------------------------------------------------------------------------------- Total 0 0 100.0% """ def test_package_b_non_recursiveness(): """ The package tested is made of a single module. None __init__.py file is available. In this module, there is a single private function. So, none example is expected for this entire module. Recursiveness is disabled.""" path = os.path.join(ASSETS_DIRECTORY, "module_b") capture = CaptureStdOut() with capture: create_report(path, False) assert capture.content == """Name Docstrings Missed Covered ------------------------------------------------------------------------------- module_b.module_b 0 0 100.0% ------------------------------------------------------------------------------- Total 0 0 100.0% """ def test_package_c(): """The package tested contains standard property. Recursiveness is disabled.""" path = os.path.join(ASSETS_DIRECTORY, "module_c") capture = CaptureStdOut() with capture: create_report(path) assert capture.content == """Name Docstrings Missed Covered ------------------------------------------------------------------------------- module_c.module_c 5 1 80.0% ------------------------------------------------------------------------------- Total 5 1 80.0% """ def test_package_c_non_recursiveness(): """The package tested contains standard property.""" path = os.path.join(ASSETS_DIRECTORY, "module_c") capture = CaptureStdOut() with capture: create_report(path, False) assert capture.content == """Name Docstrings Missed Covered ------------------------------------------------------------------------------- module_c.module_c 5 1 80.0% ------------------------------------------------------------------------------- Total 5 1 80.0% """ def test_package_d(): """The package tested contains several decorators.""" path = os.path.join(ASSETS_DIRECTORY, "module_d") capture = CaptureStdOut() with capture: create_report(path) assert capture.content == """Name Docstrings Missed Covered ------------------------------------------------------------------------------- module_d.module_d 8 3 62.5% ------------------------------------------------------------------------------- Total 8 3 62.5% """ def test_package_d_non_recursive(): """The package tested contains several decorators. Recursiveness is disabled.""" path = os.path.join(ASSETS_DIRECTORY, "module_d") capture = CaptureStdOut() with capture: create_report(path, False) assert capture.content == """Name Docstrings Missed Covered ------------------------------------------------------------------------------- module_d.module_d 8 3 62.5% ------------------------------------------------------------------------------- Total 8 3 62.5% """
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7
31f6568971efb95b041cc36ac5cd574f71007b78
56
py
Python
stockmarkettools/__init__.py
ayush4921/stockmarkettools
e83f95720ca2c94fc678d3445c0c17168f0edfa5
[ "MIT" ]
null
null
null
stockmarkettools/__init__.py
ayush4921/stockmarkettools
e83f95720ca2c94fc678d3445c0c17168f0edfa5
[ "MIT" ]
null
null
null
stockmarkettools/__init__.py
ayush4921/stockmarkettools
e83f95720ca2c94fc678d3445c0c17168f0edfa5
[ "MIT" ]
null
null
null
from stockmarkettools.get_stock_all import get_stock_all
56
56
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27,823
py
Python
sdk/python/pulumi_oci/artifacts/generic_artifact.py
EladGabay/pulumi-oci
6841e27d4a1a7e15c672306b769912efbfd3ba99
[ "ECL-2.0", "Apache-2.0" ]
5
2021-08-17T11:14:46.000Z
2021-12-31T02:07:03.000Z
sdk/python/pulumi_oci/artifacts/generic_artifact.py
pulumi-oci/pulumi-oci
6841e27d4a1a7e15c672306b769912efbfd3ba99
[ "ECL-2.0", "Apache-2.0" ]
1
2021-09-06T11:21:29.000Z
2021-09-06T11:21:29.000Z
sdk/python/pulumi_oci/artifacts/generic_artifact.py
pulumi-oci/pulumi-oci
6841e27d4a1a7e15c672306b769912efbfd3ba99
[ "ECL-2.0", "Apache-2.0" ]
2
2021-08-24T23:31:30.000Z
2022-01-02T19:26:54.000Z
# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities __all__ = ['GenericArtifactArgs', 'GenericArtifact'] @pulumi.input_type class GenericArtifactArgs: def __init__(__self__, *, artifact_id: pulumi.Input[str], defined_tags: Optional[pulumi.Input[Mapping[str, Any]]] = None, freeform_tags: Optional[pulumi.Input[Mapping[str, Any]]] = None): """ The set of arguments for constructing a GenericArtifact resource. :param pulumi.Input[str] artifact_id: The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the artifact. Example: `ocid1.genericartifact.oc1..exampleuniqueID` :param pulumi.Input[Mapping[str, Any]] defined_tags: (Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm). Example: `{"Operations.CostCenter": "42"}` :param pulumi.Input[Mapping[str, Any]] freeform_tags: (Updatable) Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm). Example: `{"Department": "Finance"}` """ pulumi.set(__self__, "artifact_id", artifact_id) if defined_tags is not None: pulumi.set(__self__, "defined_tags", defined_tags) if freeform_tags is not None: pulumi.set(__self__, "freeform_tags", freeform_tags) @property @pulumi.getter(name="artifactId") def artifact_id(self) -> pulumi.Input[str]: """ The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the artifact. Example: `ocid1.genericartifact.oc1..exampleuniqueID` """ return pulumi.get(self, "artifact_id") @artifact_id.setter def artifact_id(self, value: pulumi.Input[str]): pulumi.set(self, "artifact_id", value) @property @pulumi.getter(name="definedTags") def defined_tags(self) -> Optional[pulumi.Input[Mapping[str, Any]]]: """ (Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm). Example: `{"Operations.CostCenter": "42"}` """ return pulumi.get(self, "defined_tags") @defined_tags.setter def defined_tags(self, value: Optional[pulumi.Input[Mapping[str, Any]]]): pulumi.set(self, "defined_tags", value) @property @pulumi.getter(name="freeformTags") def freeform_tags(self) -> Optional[pulumi.Input[Mapping[str, Any]]]: """ (Updatable) Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm). Example: `{"Department": "Finance"}` """ return pulumi.get(self, "freeform_tags") @freeform_tags.setter def freeform_tags(self, value: Optional[pulumi.Input[Mapping[str, Any]]]): pulumi.set(self, "freeform_tags", value) @pulumi.input_type class _GenericArtifactState: def __init__(__self__, *, artifact_id: Optional[pulumi.Input[str]] = None, artifact_path: Optional[pulumi.Input[str]] = None, compartment_id: Optional[pulumi.Input[str]] = None, defined_tags: Optional[pulumi.Input[Mapping[str, Any]]] = None, display_name: Optional[pulumi.Input[str]] = None, freeform_tags: Optional[pulumi.Input[Mapping[str, Any]]] = None, repository_id: Optional[pulumi.Input[str]] = None, sha256: Optional[pulumi.Input[str]] = None, size_in_bytes: Optional[pulumi.Input[str]] = None, state: Optional[pulumi.Input[str]] = None, time_created: Optional[pulumi.Input[str]] = None, version: Optional[pulumi.Input[str]] = None): """ Input properties used for looking up and filtering GenericArtifact resources. :param pulumi.Input[str] artifact_id: The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the artifact. Example: `ocid1.genericartifact.oc1..exampleuniqueID` :param pulumi.Input[str] artifact_path: A user-defined path to describe the location of an artifact. Slashes do not create a directory structure, but you can use slashes to organize the repository. An artifact path does not include an artifact version. Example: `project01/my-web-app/artifact-abc` :param pulumi.Input[str] compartment_id: The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the repository's compartment. :param pulumi.Input[Mapping[str, Any]] defined_tags: (Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm). Example: `{"Operations.CostCenter": "42"}` :param pulumi.Input[str] display_name: The artifact name with the format of `<artifact-path>:<artifact-version>`. The artifact name is truncated to a maximum length of 255. Example: `project01/my-web-app/artifact-abc:1.0.0` :param pulumi.Input[Mapping[str, Any]] freeform_tags: (Updatable) Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm). Example: `{"Department": "Finance"}` :param pulumi.Input[str] repository_id: The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the repository. :param pulumi.Input[str] sha256: The SHA256 digest for the artifact. When you upload an artifact to the repository, a SHA256 digest is calculated and added to the artifact properties. :param pulumi.Input[str] size_in_bytes: The size of the artifact in bytes. :param pulumi.Input[str] state: The current state of the artifact. :param pulumi.Input[str] time_created: An RFC 3339 timestamp indicating when the repository was created. :param pulumi.Input[str] version: A user-defined string to describe the artifact version. Example: `1.1.0` or `1.2-beta-2` """ if artifact_id is not None: pulumi.set(__self__, "artifact_id", artifact_id) if artifact_path is not None: pulumi.set(__self__, "artifact_path", artifact_path) if compartment_id is not None: pulumi.set(__self__, "compartment_id", compartment_id) if defined_tags is not None: pulumi.set(__self__, "defined_tags", defined_tags) if display_name is not None: pulumi.set(__self__, "display_name", display_name) if freeform_tags is not None: pulumi.set(__self__, "freeform_tags", freeform_tags) if repository_id is not None: pulumi.set(__self__, "repository_id", repository_id) if sha256 is not None: pulumi.set(__self__, "sha256", sha256) if size_in_bytes is not None: pulumi.set(__self__, "size_in_bytes", size_in_bytes) if state is not None: pulumi.set(__self__, "state", state) if time_created is not None: pulumi.set(__self__, "time_created", time_created) if version is not None: pulumi.set(__self__, "version", version) @property @pulumi.getter(name="artifactId") def artifact_id(self) -> Optional[pulumi.Input[str]]: """ The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the artifact. Example: `ocid1.genericartifact.oc1..exampleuniqueID` """ return pulumi.get(self, "artifact_id") @artifact_id.setter def artifact_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "artifact_id", value) @property @pulumi.getter(name="artifactPath") def artifact_path(self) -> Optional[pulumi.Input[str]]: """ A user-defined path to describe the location of an artifact. Slashes do not create a directory structure, but you can use slashes to organize the repository. An artifact path does not include an artifact version. Example: `project01/my-web-app/artifact-abc` """ return pulumi.get(self, "artifact_path") @artifact_path.setter def artifact_path(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "artifact_path", value) @property @pulumi.getter(name="compartmentId") def compartment_id(self) -> Optional[pulumi.Input[str]]: """ The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the repository's compartment. """ return pulumi.get(self, "compartment_id") @compartment_id.setter def compartment_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "compartment_id", value) @property @pulumi.getter(name="definedTags") def defined_tags(self) -> Optional[pulumi.Input[Mapping[str, Any]]]: """ (Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm). Example: `{"Operations.CostCenter": "42"}` """ return pulumi.get(self, "defined_tags") @defined_tags.setter def defined_tags(self, value: Optional[pulumi.Input[Mapping[str, Any]]]): pulumi.set(self, "defined_tags", value) @property @pulumi.getter(name="displayName") def display_name(self) -> Optional[pulumi.Input[str]]: """ The artifact name with the format of `<artifact-path>:<artifact-version>`. The artifact name is truncated to a maximum length of 255. Example: `project01/my-web-app/artifact-abc:1.0.0` """ return pulumi.get(self, "display_name") @display_name.setter def display_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "display_name", value) @property @pulumi.getter(name="freeformTags") def freeform_tags(self) -> Optional[pulumi.Input[Mapping[str, Any]]]: """ (Updatable) Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm). Example: `{"Department": "Finance"}` """ return pulumi.get(self, "freeform_tags") @freeform_tags.setter def freeform_tags(self, value: Optional[pulumi.Input[Mapping[str, Any]]]): pulumi.set(self, "freeform_tags", value) @property @pulumi.getter(name="repositoryId") def repository_id(self) -> Optional[pulumi.Input[str]]: """ The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the repository. """ return pulumi.get(self, "repository_id") @repository_id.setter def repository_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "repository_id", value) @property @pulumi.getter def sha256(self) -> Optional[pulumi.Input[str]]: """ The SHA256 digest for the artifact. When you upload an artifact to the repository, a SHA256 digest is calculated and added to the artifact properties. """ return pulumi.get(self, "sha256") @sha256.setter def sha256(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "sha256", value) @property @pulumi.getter(name="sizeInBytes") def size_in_bytes(self) -> Optional[pulumi.Input[str]]: """ The size of the artifact in bytes. """ return pulumi.get(self, "size_in_bytes") @size_in_bytes.setter def size_in_bytes(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "size_in_bytes", value) @property @pulumi.getter def state(self) -> Optional[pulumi.Input[str]]: """ The current state of the artifact. """ return pulumi.get(self, "state") @state.setter def state(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "state", value) @property @pulumi.getter(name="timeCreated") def time_created(self) -> Optional[pulumi.Input[str]]: """ An RFC 3339 timestamp indicating when the repository was created. """ return pulumi.get(self, "time_created") @time_created.setter def time_created(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "time_created", value) @property @pulumi.getter def version(self) -> Optional[pulumi.Input[str]]: """ A user-defined string to describe the artifact version. Example: `1.1.0` or `1.2-beta-2` """ return pulumi.get(self, "version") @version.setter def version(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "version", value) class GenericArtifact(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, artifact_id: Optional[pulumi.Input[str]] = None, defined_tags: Optional[pulumi.Input[Mapping[str, Any]]] = None, freeform_tags: Optional[pulumi.Input[Mapping[str, Any]]] = None, __props__=None): """ This resource provides the Generic Artifact resource in Oracle Cloud Infrastructure Artifacts service. ## Example Usage ```python import pulumi import pulumi_oci as oci test_generic_artifact = oci.artifacts.GenericArtifact("testGenericArtifact", artifact_id=oci_artifacts_artifact["test_artifact"]["id"], defined_tags={ "Operations.CostCenter": "42", }, freeform_tags={ "Department": "Finance", }) ``` ## Import Import is not supported for this resource. :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] artifact_id: The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the artifact. Example: `ocid1.genericartifact.oc1..exampleuniqueID` :param pulumi.Input[Mapping[str, Any]] defined_tags: (Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm). Example: `{"Operations.CostCenter": "42"}` :param pulumi.Input[Mapping[str, Any]] freeform_tags: (Updatable) Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm). Example: `{"Department": "Finance"}` """ ... @overload def __init__(__self__, resource_name: str, args: GenericArtifactArgs, opts: Optional[pulumi.ResourceOptions] = None): """ This resource provides the Generic Artifact resource in Oracle Cloud Infrastructure Artifacts service. ## Example Usage ```python import pulumi import pulumi_oci as oci test_generic_artifact = oci.artifacts.GenericArtifact("testGenericArtifact", artifact_id=oci_artifacts_artifact["test_artifact"]["id"], defined_tags={ "Operations.CostCenter": "42", }, freeform_tags={ "Department": "Finance", }) ``` ## Import Import is not supported for this resource. :param str resource_name: The name of the resource. :param GenericArtifactArgs 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(GenericArtifactArgs, 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, artifact_id: Optional[pulumi.Input[str]] = None, defined_tags: Optional[pulumi.Input[Mapping[str, Any]]] = None, freeform_tags: Optional[pulumi.Input[Mapping[str, Any]]] = 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__ = GenericArtifactArgs.__new__(GenericArtifactArgs) if artifact_id is None and not opts.urn: raise TypeError("Missing required property 'artifact_id'") __props__.__dict__["artifact_id"] = artifact_id __props__.__dict__["defined_tags"] = defined_tags __props__.__dict__["freeform_tags"] = freeform_tags __props__.__dict__["artifact_path"] = None __props__.__dict__["compartment_id"] = None __props__.__dict__["display_name"] = None __props__.__dict__["repository_id"] = None __props__.__dict__["sha256"] = None __props__.__dict__["size_in_bytes"] = None __props__.__dict__["state"] = None __props__.__dict__["time_created"] = None __props__.__dict__["version"] = None super(GenericArtifact, __self__).__init__( 'oci:artifacts/genericArtifact:GenericArtifact', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, artifact_id: Optional[pulumi.Input[str]] = None, artifact_path: Optional[pulumi.Input[str]] = None, compartment_id: Optional[pulumi.Input[str]] = None, defined_tags: Optional[pulumi.Input[Mapping[str, Any]]] = None, display_name: Optional[pulumi.Input[str]] = None, freeform_tags: Optional[pulumi.Input[Mapping[str, Any]]] = None, repository_id: Optional[pulumi.Input[str]] = None, sha256: Optional[pulumi.Input[str]] = None, size_in_bytes: Optional[pulumi.Input[str]] = None, state: Optional[pulumi.Input[str]] = None, time_created: Optional[pulumi.Input[str]] = None, version: Optional[pulumi.Input[str]] = None) -> 'GenericArtifact': """ Get an existing GenericArtifact resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] artifact_id: The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the artifact. Example: `ocid1.genericartifact.oc1..exampleuniqueID` :param pulumi.Input[str] artifact_path: A user-defined path to describe the location of an artifact. Slashes do not create a directory structure, but you can use slashes to organize the repository. An artifact path does not include an artifact version. Example: `project01/my-web-app/artifact-abc` :param pulumi.Input[str] compartment_id: The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the repository's compartment. :param pulumi.Input[Mapping[str, Any]] defined_tags: (Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm). Example: `{"Operations.CostCenter": "42"}` :param pulumi.Input[str] display_name: The artifact name with the format of `<artifact-path>:<artifact-version>`. The artifact name is truncated to a maximum length of 255. Example: `project01/my-web-app/artifact-abc:1.0.0` :param pulumi.Input[Mapping[str, Any]] freeform_tags: (Updatable) Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm). Example: `{"Department": "Finance"}` :param pulumi.Input[str] repository_id: The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the repository. :param pulumi.Input[str] sha256: The SHA256 digest for the artifact. When you upload an artifact to the repository, a SHA256 digest is calculated and added to the artifact properties. :param pulumi.Input[str] size_in_bytes: The size of the artifact in bytes. :param pulumi.Input[str] state: The current state of the artifact. :param pulumi.Input[str] time_created: An RFC 3339 timestamp indicating when the repository was created. :param pulumi.Input[str] version: A user-defined string to describe the artifact version. Example: `1.1.0` or `1.2-beta-2` """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _GenericArtifactState.__new__(_GenericArtifactState) __props__.__dict__["artifact_id"] = artifact_id __props__.__dict__["artifact_path"] = artifact_path __props__.__dict__["compartment_id"] = compartment_id __props__.__dict__["defined_tags"] = defined_tags __props__.__dict__["display_name"] = display_name __props__.__dict__["freeform_tags"] = freeform_tags __props__.__dict__["repository_id"] = repository_id __props__.__dict__["sha256"] = sha256 __props__.__dict__["size_in_bytes"] = size_in_bytes __props__.__dict__["state"] = state __props__.__dict__["time_created"] = time_created __props__.__dict__["version"] = version return GenericArtifact(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="artifactId") def artifact_id(self) -> pulumi.Output[str]: """ The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the artifact. Example: `ocid1.genericartifact.oc1..exampleuniqueID` """ return pulumi.get(self, "artifact_id") @property @pulumi.getter(name="artifactPath") def artifact_path(self) -> pulumi.Output[str]: """ A user-defined path to describe the location of an artifact. Slashes do not create a directory structure, but you can use slashes to organize the repository. An artifact path does not include an artifact version. Example: `project01/my-web-app/artifact-abc` """ return pulumi.get(self, "artifact_path") @property @pulumi.getter(name="compartmentId") def compartment_id(self) -> pulumi.Output[str]: """ The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the repository's compartment. """ return pulumi.get(self, "compartment_id") @property @pulumi.getter(name="definedTags") def defined_tags(self) -> pulumi.Output[Mapping[str, Any]]: """ (Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm). Example: `{"Operations.CostCenter": "42"}` """ return pulumi.get(self, "defined_tags") @property @pulumi.getter(name="displayName") def display_name(self) -> pulumi.Output[str]: """ The artifact name with the format of `<artifact-path>:<artifact-version>`. The artifact name is truncated to a maximum length of 255. Example: `project01/my-web-app/artifact-abc:1.0.0` """ return pulumi.get(self, "display_name") @property @pulumi.getter(name="freeformTags") def freeform_tags(self) -> pulumi.Output[Mapping[str, Any]]: """ (Updatable) Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm). Example: `{"Department": "Finance"}` """ return pulumi.get(self, "freeform_tags") @property @pulumi.getter(name="repositoryId") def repository_id(self) -> pulumi.Output[str]: """ The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the repository. """ return pulumi.get(self, "repository_id") @property @pulumi.getter def sha256(self) -> pulumi.Output[str]: """ The SHA256 digest for the artifact. When you upload an artifact to the repository, a SHA256 digest is calculated and added to the artifact properties. """ return pulumi.get(self, "sha256") @property @pulumi.getter(name="sizeInBytes") def size_in_bytes(self) -> pulumi.Output[str]: """ The size of the artifact in bytes. """ return pulumi.get(self, "size_in_bytes") @property @pulumi.getter def state(self) -> pulumi.Output[str]: """ The current state of the artifact. """ return pulumi.get(self, "state") @property @pulumi.getter(name="timeCreated") def time_created(self) -> pulumi.Output[str]: """ An RFC 3339 timestamp indicating when the repository was created. """ return pulumi.get(self, "time_created") @property @pulumi.getter def version(self) -> pulumi.Output[str]: """ A user-defined string to describe the artifact version. Example: `1.1.0` or `1.2-beta-2` """ return pulumi.get(self, "version")
52.005607
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5.245547
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0.78053
0.726261
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0.008624
0.216476
27,823
534
348
52.102996
0.815505
0.444668
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7
c9a9738e5ce5fd8a52228a8cfbb52aeac4e0363d
46
py
Python
atest/testdata/variables/get_file_lib.py
phil-davis/robotframework
4d4ce686cbe01e293bb86ea6ff34330e8c45fc43
[ "ECL-2.0", "Apache-2.0" ]
7,073
2015-01-01T17:19:16.000Z
2022-03-31T22:01:29.000Z
atest/testdata/variables/get_file_lib.py
phil-davis/robotframework
4d4ce686cbe01e293bb86ea6ff34330e8c45fc43
[ "ECL-2.0", "Apache-2.0" ]
2,412
2015-01-02T09:29:05.000Z
2022-03-31T13:10:46.000Z
atest/testdata/variables/get_file_lib.py
phil-davis/robotframework
4d4ce686cbe01e293bb86ea6ff34330e8c45fc43
[ "ECL-2.0", "Apache-2.0" ]
2,298
2015-01-03T02:47:15.000Z
2022-03-31T02:00:16.000Z
def get_open_file(): return open(__file__)
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8
a0223a13721c24a70244b0b465de5a15a250c4b3
31,445
py
Python
fhirclient/models/bundle_tests.py
JamesSkane/smart_resources
85c362542b85ebc43ec00cd04915b114ee95f9c0
[ "Apache-2.0" ]
null
null
null
fhirclient/models/bundle_tests.py
JamesSkane/smart_resources
85c362542b85ebc43ec00cd04915b114ee95f9c0
[ "Apache-2.0" ]
null
null
null
fhirclient/models/bundle_tests.py
JamesSkane/smart_resources
85c362542b85ebc43ec00cd04915b114ee95f9c0
[ "Apache-2.0" ]
null
null
null
#!/usr/bin/env python # -*- coding: utf-8 -*- # # Generated from FHIR 0.5.0.5149 on 2015-07-06. # 2015, SMART Health IT. import os import io import unittest import json from . import bundle from .fhirdate import FHIRDate class BundleTests(unittest.TestCase): def instantiate_from(self, filename): datadir = os.environ.get('FHIR_UNITTEST_DATADIR') or '' with io.open(os.path.join(datadir, filename), 'r', encoding='utf-8') as handle: js = json.load(handle) self.assertEqual("Bundle", js["resourceType"]) return bundle.Bundle(js) def testBundle1(self): inst = self.instantiate_from("bundle-example.json") self.assertIsNotNone(inst, "Must have instantiated a Bundle instance") self.implBundle1(inst) js = inst.as_json() self.assertEqual("Bundle", js["resourceType"]) inst2 = bundle.Bundle(js) self.implBundle1(inst2) def implBundle1(self, inst): self.assertEqual(inst.base, "http://example.com/base") self.assertEqual(inst.entry[0].resource.id, "3123") self.assertEqual(inst.entry[0].search.mode, "match") self.assertEqual(inst.entry[0].search.score, 1) self.assertEqual(inst.entry[1].resource.id, "example") self.assertEqual(inst.entry[1].search.mode, "include") self.assertEqual(inst.id, "bundle-example") self.assertEqual(inst.link[0].relation, "self") self.assertEqual(inst.link[0].url, "https://example.com/base/MedicationPrescription?patient=347&_include=MedicationPrescription.medication") self.assertEqual(inst.link[1].relation, "next") self.assertEqual(inst.link[1].url, "https://example.com/base/MedicationPrescription?patient=347&searchId=ff15fd40-ff71-4b48-b366-09c706bed9d0&page=2") self.assertEqual(inst.meta.lastUpdated.date, FHIRDate("2014-08-18T01:43:30Z").date) self.assertEqual(inst.meta.lastUpdated.as_json(), "2014-08-18T01:43:30Z") self.assertEqual(inst.total, 3) self.assertEqual(inst.type, "searchset") def testBundle2(self): inst = self.instantiate_from("diagnosticreport-examples-general.json") self.assertIsNotNone(inst, "Must have instantiated a Bundle instance") self.implBundle2(inst) js = inst.as_json() self.assertEqual("Bundle", js["resourceType"]) inst2 = bundle.Bundle(js) self.implBundle2(inst2) def implBundle2(self, inst): self.assertEqual(inst.base, "http://hl7.org/fhir") self.assertEqual(inst.entry[0].resource.id, "3") self.assertEqual(inst.entry[0].resource.meta.lastUpdated.date, FHIRDate("2012-04-14T10:35:23Z").date) self.assertEqual(inst.entry[0].resource.meta.lastUpdated.as_json(), "2012-04-14T10:35:23Z") self.assertEqual(inst.entry[1].resource.id, "4") self.assertEqual(inst.entry[1].resource.meta.lastUpdated.date, FHIRDate("2012-04-14T10:35:23Z").date) self.assertEqual(inst.entry[1].resource.meta.lastUpdated.as_json(), "2012-04-14T10:35:23Z") self.assertEqual(inst.entry[2].resource.id, "5") self.assertEqual(inst.entry[2].resource.meta.lastUpdated.date, FHIRDate("2012-04-14T10:35:23Z").date) self.assertEqual(inst.entry[2].resource.meta.lastUpdated.as_json(), "2012-04-14T10:35:23Z") self.assertEqual(inst.entry[3].resource.id, "6") self.assertEqual(inst.entry[3].resource.meta.lastUpdated.date, FHIRDate("2012-04-14T10:35:23Z").date) self.assertEqual(inst.entry[3].resource.meta.lastUpdated.as_json(), "2012-04-14T10:35:23Z") self.assertEqual(inst.entry[4].resource.id, "7") self.assertEqual(inst.entry[4].resource.meta.lastUpdated.date, FHIRDate("2012-04-14T10:35:23Z").date) self.assertEqual(inst.entry[4].resource.meta.lastUpdated.as_json(), "2012-04-14T10:35:23Z") self.assertEqual(inst.entry[5].resource.id, "8") self.assertEqual(inst.entry[5].resource.meta.lastUpdated.date, FHIRDate("2012-04-14T10:35:23Z").date) self.assertEqual(inst.entry[5].resource.meta.lastUpdated.as_json(), "2012-04-14T10:35:23Z") self.assertEqual(inst.entry[6].resource.id, "9") self.assertEqual(inst.entry[6].resource.meta.lastUpdated.date, FHIRDate("2012-04-14T10:35:23Z").date) self.assertEqual(inst.entry[6].resource.meta.lastUpdated.as_json(), "2012-04-14T10:35:23Z") self.assertEqual(inst.entry[7].resource.id, "15") self.assertEqual(inst.entry[7].resource.meta.lastUpdated.date, FHIRDate("2012-04-14T10:35:23Z").date) self.assertEqual(inst.entry[7].resource.meta.lastUpdated.as_json(), "2012-04-14T10:35:23Z") self.assertEqual(inst.entry[8].resource.id, "16") self.assertEqual(inst.entry[8].resource.meta.lastUpdated.date, FHIRDate("2012-04-14T10:35:23Z").date) self.assertEqual(inst.entry[8].resource.meta.lastUpdated.as_json(), "2012-04-14T10:35:23Z") self.assertEqual(inst.entry[9].resource.id, "17") self.assertEqual(inst.entry[9].resource.meta.lastUpdated.date, FHIRDate("2012-04-14T10:35:23Z").date) self.assertEqual(inst.entry[9].resource.meta.lastUpdated.as_json(), "2012-04-14T10:35:23Z") self.assertEqual(inst.id, "72ac8493-52ac-41bd-8d5d-7258c289b5ea") self.assertEqual(inst.meta.lastUpdated.date, FHIRDate("2012-04-14T10:35:23Z").date) self.assertEqual(inst.meta.lastUpdated.as_json(), "2012-04-14T10:35:23Z") self.assertEqual(inst.type, "collection") def testBundle3(self): inst = self.instantiate_from("diagnosticreport-examples-lab-text.json") self.assertIsNotNone(inst, "Must have instantiated a Bundle instance") self.implBundle3(inst) js = inst.as_json() self.assertEqual("Bundle", js["resourceType"]) inst2 = bundle.Bundle(js) self.implBundle3(inst2) def implBundle3(self, inst): self.assertEqual(inst.base, "http://hl7.org/fhir") self.assertEqual(inst.entry[0].resource.id, "103") self.assertEqual(inst.entry[0].resource.meta.lastUpdated.date, FHIRDate("2012-04-14T10:35:23Z").date) self.assertEqual(inst.entry[0].resource.meta.lastUpdated.as_json(), "2012-04-14T10:35:23Z") self.assertEqual(inst.entry[1].resource.id, "104") self.assertEqual(inst.entry[1].resource.meta.lastUpdated.date, FHIRDate("2012-04-14T10:35:23Z").date) self.assertEqual(inst.entry[1].resource.meta.lastUpdated.as_json(), "2012-04-14T10:35:23Z") self.assertEqual(inst.entry[2].resource.id, "105") self.assertEqual(inst.entry[2].resource.meta.lastUpdated.date, FHIRDate("2012-04-14T10:35:23Z").date) self.assertEqual(inst.entry[2].resource.meta.lastUpdated.as_json(), "2012-04-14T10:35:23Z") self.assertEqual(inst.entry[3].resource.id, "106") self.assertEqual(inst.entry[3].resource.meta.lastUpdated.date, FHIRDate("2012-04-14T10:35:23Z").date) self.assertEqual(inst.entry[3].resource.meta.lastUpdated.as_json(), "2012-04-14T10:35:23Z") self.assertEqual(inst.entry[4].resource.id, "107") self.assertEqual(inst.entry[4].resource.meta.lastUpdated.date, FHIRDate("2012-04-14T10:35:23Z").date) self.assertEqual(inst.entry[4].resource.meta.lastUpdated.as_json(), "2012-04-14T10:35:23Z") self.assertEqual(inst.entry[5].resource.id, "108") self.assertEqual(inst.entry[5].resource.meta.lastUpdated.date, FHIRDate("2012-04-14T10:35:23Z").date) self.assertEqual(inst.entry[5].resource.meta.lastUpdated.as_json(), "2012-04-14T10:35:23Z") self.assertEqual(inst.entry[6].resource.id, "109") self.assertEqual(inst.entry[6].resource.meta.lastUpdated.date, FHIRDate("2012-04-14T10:35:23Z").date) self.assertEqual(inst.entry[6].resource.meta.lastUpdated.as_json(), "2012-04-14T10:35:23Z") self.assertEqual(inst.entry[7].resource.id, "110") self.assertEqual(inst.entry[7].resource.meta.lastUpdated.date, FHIRDate("2012-04-14T10:35:23Z").date) self.assertEqual(inst.entry[7].resource.meta.lastUpdated.as_json(), "2012-04-14T10:35:23Z") self.assertEqual(inst.entry[8].resource.id, "111") self.assertEqual(inst.entry[8].resource.meta.lastUpdated.date, FHIRDate("2012-04-14T10:35:23Z").date) self.assertEqual(inst.entry[8].resource.meta.lastUpdated.as_json(), "2012-04-14T10:35:23Z") self.assertEqual(inst.entry[9].resource.id, "112") self.assertEqual(inst.entry[9].resource.meta.lastUpdated.date, FHIRDate("2012-04-14T10:35:23Z").date) self.assertEqual(inst.entry[9].resource.meta.lastUpdated.as_json(), "2012-04-14T10:35:23Z") self.assertEqual(inst.id, "72ac8493-52ac-41bd-8d5d-7258c289b5ea") self.assertEqual(inst.meta.lastUpdated.date, FHIRDate("2012-04-14T10:35:23Z").date) self.assertEqual(inst.meta.lastUpdated.as_json(), "2012-04-14T10:35:23Z") self.assertEqual(inst.type, "collection") def testBundle4(self): inst = self.instantiate_from("document-example-dischargesummary.json") self.assertIsNotNone(inst, "Must have instantiated a Bundle instance") self.implBundle4(inst) js = inst.as_json() self.assertEqual("Bundle", js["resourceType"]) inst2 = bundle.Bundle(js) self.implBundle4(inst2) def implBundle4(self, inst): self.assertEqual(inst.base, "http://fhir.healthintersections.com.au/open") self.assertEqual(inst.entry[0].base, "urn:uuid:") self.assertEqual(inst.entry[0].resource.id, "180f219f-97a8-486d-99d9-ed631fe4fc57") self.assertEqual(inst.entry[0].resource.meta.lastUpdated.date, FHIRDate("2013-05-28T22:12:21Z").date) self.assertEqual(inst.entry[0].resource.meta.lastUpdated.as_json(), "2013-05-28T22:12:21Z") self.assertEqual(inst.entry[1].resource.id, "example") self.assertEqual(inst.entry[1].resource.meta.lastUpdated.date, FHIRDate("2013-05-05T16:13:03Z").date) self.assertEqual(inst.entry[1].resource.meta.lastUpdated.as_json(), "2013-05-05T16:13:03Z") self.assertEqual(inst.entry[2].resource.id, "d1") self.assertEqual(inst.entry[3].resource.id, "doc-example") self.assertEqual(inst.entry[3].resource.meta.lastUpdated.date, FHIRDate("2013-05-05T16:13:03Z").date) self.assertEqual(inst.entry[3].resource.meta.lastUpdated.as_json(), "2013-05-05T16:13:03Z") self.assertEqual(inst.entry[4].base, "urn:uuid:") self.assertEqual(inst.entry[4].resource.id, "d0dd51d3-3ab2-4c84-b697-a630c3e40e7a") self.assertEqual(inst.entry[4].resource.meta.lastUpdated.date, FHIRDate("2013-05-05T16:13:03Z").date) self.assertEqual(inst.entry[4].resource.meta.lastUpdated.as_json(), "2013-05-05T16:13:03Z") self.assertEqual(inst.entry[5].base, "urn:uuid:") self.assertEqual(inst.entry[5].resource.id, "541a72a8-df75-4484-ac89-ac4923f03b81") self.assertEqual(inst.entry[5].resource.meta.lastUpdated.date, FHIRDate("2013-05-05T16:13:03Z").date) self.assertEqual(inst.entry[5].resource.meta.lastUpdated.as_json(), "2013-05-05T16:13:03Z") self.assertEqual(inst.entry[6].base, "urn:uuid:") self.assertEqual(inst.entry[6].resource.id, "673f8db5-0ffd-4395-9657-6da00420bbc1") self.assertEqual(inst.entry[6].resource.meta.lastUpdated.date, FHIRDate("2013-05-05T16:13:03Z").date) self.assertEqual(inst.entry[6].resource.meta.lastUpdated.as_json(), "2013-05-05T16:13:03Z") self.assertEqual(inst.entry[7].base, "urn:uuid:") self.assertEqual(inst.entry[7].resource.id, "124a6916-5d84-4b8c-b250-10cefb8e6e86") self.assertEqual(inst.entry[7].resource.meta.lastUpdated.date, FHIRDate("2013-05-05T16:13:03Z").date) self.assertEqual(inst.entry[7].resource.meta.lastUpdated.as_json(), "2013-05-05T16:13:03Z") self.assertEqual(inst.entry[8].base, "urn:uuid:") self.assertEqual(inst.entry[8].resource.id, "68f86194-e6e1-4f65-b64a-5314256f8d7b") self.assertEqual(inst.entry[8].resource.meta.lastUpdated.date, FHIRDate("2013-05-05T16:13:03Z").date) self.assertEqual(inst.entry[8].resource.meta.lastUpdated.as_json(), "2013-05-05T16:13:03Z") self.assertEqual(inst.entry[9].base, "urn:uuid:") self.assertEqual(inst.entry[9].resource.id, "47600e0f-b6b5-4308-84b5-5dec157f7637") self.assertEqual(inst.entry[9].resource.meta.lastUpdated.date, FHIRDate("2013-05-05T16:13:03Z").date) self.assertEqual(inst.entry[9].resource.meta.lastUpdated.as_json(), "2013-05-05T16:13:03Z") self.assertEqual(inst.id, "father") self.assertEqual(inst.meta.lastUpdated.date, FHIRDate("2013-05-28T22:12:21Z").date) self.assertEqual(inst.meta.lastUpdated.as_json(), "2013-05-28T22:12:21Z") self.assertEqual(inst.meta.tag[0].code, "document") self.assertEqual(inst.meta.tag[0].system, "http://hl7.org/fhir/tag") self.assertEqual(inst.type, "document") def testBundle5(self): inst = self.instantiate_from("observation-example-bloodpressure.json") self.assertIsNotNone(inst, "Must have instantiated a Bundle instance") self.implBundle5(inst) js = inst.as_json() self.assertEqual("Bundle", js["resourceType"]) inst2 = bundle.Bundle(js) self.implBundle5(inst2) def implBundle5(self, inst): self.assertEqual(inst.base, "http://hl7.org/fhir") self.assertEqual(inst.entry[0].resource.id, "34252345234") self.assertEqual(inst.entry[0].resource.meta.lastUpdated.date, FHIRDate("2014-01-30T22:35:23+11:00").date) self.assertEqual(inst.entry[0].resource.meta.lastUpdated.as_json(), "2014-01-30T22:35:23+11:00") self.assertEqual(inst.entry[1].resource.id, "34252345234-s") self.assertEqual(inst.entry[1].resource.meta.lastUpdated.date, FHIRDate("2014-01-30T22:35:23+11:00").date) self.assertEqual(inst.entry[1].resource.meta.lastUpdated.as_json(), "2014-01-30T22:35:23+11:00") self.assertEqual(inst.entry[2].resource.id, "34252345234-d") self.assertEqual(inst.entry[2].resource.meta.lastUpdated.date, FHIRDate("2014-01-30T22:35:23+11:00").date) self.assertEqual(inst.entry[2].resource.meta.lastUpdated.as_json(), "2014-01-30T22:35:23+11:00") self.assertEqual(inst.id, "blood-pressure") self.assertEqual(inst.meta.lastUpdated.date, FHIRDate("2014-01-30T22:35:23+11:00").date) self.assertEqual(inst.meta.lastUpdated.as_json(), "2014-01-30T22:35:23+11:00") self.assertEqual(inst.type, "collection") def testBundle6(self): inst = self.instantiate_from("patient-examples-cypress-template.json") self.assertIsNotNone(inst, "Must have instantiated a Bundle instance") self.implBundle6(inst) js = inst.as_json() self.assertEqual("Bundle", js["resourceType"]) inst2 = bundle.Bundle(js) self.implBundle6(inst2) def implBundle6(self, inst): self.assertEqual(inst.base, "http://hl7.org/fhir") self.assertEqual(inst.entry[0].resource.id, "71") self.assertEqual(inst.entry[0].resource.meta.lastUpdated.date, FHIRDate("2012-06-03T23:45:32Z").date) self.assertEqual(inst.entry[0].resource.meta.lastUpdated.as_json(), "2012-06-03T23:45:32Z") self.assertEqual(inst.entry[1].resource.id, "72") self.assertEqual(inst.entry[1].resource.meta.lastUpdated.date, FHIRDate("2012-06-03T23:45:32Z").date) self.assertEqual(inst.entry[1].resource.meta.lastUpdated.as_json(), "2012-06-03T23:45:32Z") self.assertEqual(inst.entry[2].resource.id, "73") self.assertEqual(inst.entry[2].resource.meta.lastUpdated.date, FHIRDate("2012-06-03T23:45:32Z").date) self.assertEqual(inst.entry[2].resource.meta.lastUpdated.as_json(), "2012-06-03T23:45:32Z") self.assertEqual(inst.entry[3].resource.id, "74") self.assertEqual(inst.entry[3].resource.meta.lastUpdated.date, FHIRDate("2012-06-03T23:45:32Z").date) self.assertEqual(inst.entry[3].resource.meta.lastUpdated.as_json(), "2012-06-03T23:45:32Z") self.assertEqual(inst.entry[4].resource.id, "75") self.assertEqual(inst.entry[4].resource.meta.lastUpdated.date, FHIRDate("2012-06-03T23:45:32Z").date) self.assertEqual(inst.entry[4].resource.meta.lastUpdated.as_json(), "2012-06-03T23:45:32Z") self.assertEqual(inst.entry[5].resource.id, "76") self.assertEqual(inst.entry[5].resource.meta.lastUpdated.date, FHIRDate("2012-06-03T23:45:32Z").date) self.assertEqual(inst.entry[5].resource.meta.lastUpdated.as_json(), "2012-06-03T23:45:32Z") self.assertEqual(inst.entry[6].resource.id, "77") self.assertEqual(inst.entry[6].resource.meta.lastUpdated.date, FHIRDate("2012-06-03T23:45:32Z").date) self.assertEqual(inst.entry[6].resource.meta.lastUpdated.as_json(), "2012-06-03T23:45:32Z") self.assertEqual(inst.entry[7].resource.id, "78") self.assertEqual(inst.entry[7].resource.meta.lastUpdated.date, FHIRDate("2012-06-03T23:45:32Z").date) self.assertEqual(inst.entry[7].resource.meta.lastUpdated.as_json(), "2012-06-03T23:45:32Z") self.assertEqual(inst.entry[8].resource.id, "79") self.assertEqual(inst.entry[8].resource.meta.lastUpdated.date, FHIRDate("2012-06-03T23:45:32Z").date) self.assertEqual(inst.entry[8].resource.meta.lastUpdated.as_json(), "2012-06-03T23:45:32Z") self.assertEqual(inst.entry[9].resource.id, "80") self.assertEqual(inst.entry[9].resource.meta.lastUpdated.date, FHIRDate("2012-06-03T23:45:32Z").date) self.assertEqual(inst.entry[9].resource.meta.lastUpdated.as_json(), "2012-06-03T23:45:32Z") self.assertEqual(inst.id, "b0a5e4277-83c4-4adb-87e2-e3efe3369b6f") self.assertEqual(inst.meta.lastUpdated.date, FHIRDate("2012-05-29T23:45:32Z").date) self.assertEqual(inst.meta.lastUpdated.as_json(), "2012-05-29T23:45:32Z") self.assertEqual(inst.type, "collection") def testBundle7(self): inst = self.instantiate_from("patient-examples-general.json") self.assertIsNotNone(inst, "Must have instantiated a Bundle instance") self.implBundle7(inst) js = inst.as_json() self.assertEqual("Bundle", js["resourceType"]) inst2 = bundle.Bundle(js) self.implBundle7(inst2) def implBundle7(self, inst): self.assertEqual(inst.base, "http://hl7.org/fhir") self.assertEqual(inst.entry[0].resource.id, "1") self.assertEqual(inst.entry[0].resource.meta.lastUpdated.date, FHIRDate("2012-05-29T23:45:32Z").date) self.assertEqual(inst.entry[0].resource.meta.lastUpdated.as_json(), "2012-05-29T23:45:32Z") self.assertEqual(inst.entry[1].resource.id, "2") self.assertEqual(inst.entry[1].resource.meta.lastUpdated.date, FHIRDate("2012-05-29T23:45:32Z").date) self.assertEqual(inst.entry[1].resource.meta.lastUpdated.as_json(), "2012-05-29T23:45:32Z") self.assertEqual(inst.entry[2].resource.id, "3") self.assertEqual(inst.entry[2].resource.meta.lastUpdated.date, FHIRDate("2012-05-29T23:45:32Z").date) self.assertEqual(inst.entry[2].resource.meta.lastUpdated.as_json(), "2012-05-29T23:45:32Z") self.assertEqual(inst.entry[3].resource.id, "4") self.assertEqual(inst.entry[3].resource.meta.lastUpdated.date, FHIRDate("2012-05-29T23:45:32Z").date) self.assertEqual(inst.entry[3].resource.meta.lastUpdated.as_json(), "2012-05-29T23:45:32Z") self.assertEqual(inst.entry[4].resource.id, "5") self.assertEqual(inst.entry[4].resource.meta.lastUpdated.date, FHIRDate("2012-05-29T23:45:32Z").date) self.assertEqual(inst.entry[4].resource.meta.lastUpdated.as_json(), "2012-05-29T23:45:32Z") self.assertEqual(inst.entry[5].resource.id, "6") self.assertEqual(inst.entry[5].resource.meta.lastUpdated.date, FHIRDate("2012-05-29T23:45:32Z").date) self.assertEqual(inst.entry[5].resource.meta.lastUpdated.as_json(), "2012-05-29T23:45:32Z") self.assertEqual(inst.entry[6].resource.id, "7") self.assertEqual(inst.entry[6].resource.meta.lastUpdated.date, FHIRDate("2012-05-29T23:45:32Z").date) self.assertEqual(inst.entry[6].resource.meta.lastUpdated.as_json(), "2012-05-29T23:45:32Z") self.assertEqual(inst.entry[7].resource.id, "8") self.assertEqual(inst.entry[7].resource.meta.lastUpdated.date, FHIRDate("2012-05-29T23:45:32Z").date) self.assertEqual(inst.entry[7].resource.meta.lastUpdated.as_json(), "2012-05-29T23:45:32Z") self.assertEqual(inst.entry[8].resource.id, "9") self.assertEqual(inst.entry[8].resource.meta.lastUpdated.date, FHIRDate("2012-05-29T23:45:32Z").date) self.assertEqual(inst.entry[8].resource.meta.lastUpdated.as_json(), "2012-05-29T23:45:32Z") self.assertEqual(inst.entry[9].resource.id, "10") self.assertEqual(inst.entry[9].resource.meta.lastUpdated.date, FHIRDate("2012-05-29T23:45:32Z").date) self.assertEqual(inst.entry[9].resource.meta.lastUpdated.as_json(), "2012-05-29T23:45:32Z") self.assertEqual(inst.id, "b248b1b2-1686-4b94-9936-37d7a5f94b51") self.assertEqual(inst.meta.lastUpdated.date, FHIRDate("2012-05-29T23:45:32Z").date) self.assertEqual(inst.meta.lastUpdated.as_json(), "2012-05-29T23:45:32Z") self.assertEqual(inst.type, "collection") def testBundle8(self): inst = self.instantiate_from("practitioner-examples-general.json") self.assertIsNotNone(inst, "Must have instantiated a Bundle instance") self.implBundle8(inst) js = inst.as_json() self.assertEqual("Bundle", js["resourceType"]) inst2 = bundle.Bundle(js) self.implBundle8(inst2) def implBundle8(self, inst): self.assertEqual(inst.base, "http://hl7.org/fhir") self.assertEqual(inst.entry[0].resource.id, "13") self.assertEqual(inst.entry[0].resource.meta.lastUpdated.date, FHIRDate("2012-05-29T23:45:32Z").date) self.assertEqual(inst.entry[0].resource.meta.lastUpdated.as_json(), "2012-05-29T23:45:32Z") self.assertEqual(inst.entry[1].resource.id, "14") self.assertEqual(inst.entry[1].resource.meta.lastUpdated.date, FHIRDate("2012-05-29T23:45:32Z").date) self.assertEqual(inst.entry[1].resource.meta.lastUpdated.as_json(), "2012-05-29T23:45:32Z") self.assertEqual(inst.entry[2].resource.id, "15") self.assertEqual(inst.entry[2].resource.meta.lastUpdated.date, FHIRDate("2012-05-29T23:45:32Z").date) self.assertEqual(inst.entry[2].resource.meta.lastUpdated.as_json(), "2012-05-29T23:45:32Z") self.assertEqual(inst.entry[3].resource.id, "16") self.assertEqual(inst.entry[3].resource.meta.lastUpdated.date, FHIRDate("2012-05-29T23:45:32Z").date) self.assertEqual(inst.entry[3].resource.meta.lastUpdated.as_json(), "2012-05-29T23:45:32Z") self.assertEqual(inst.entry[4].resource.id, "17") self.assertEqual(inst.entry[4].resource.meta.lastUpdated.date, FHIRDate("2012-05-29T23:45:32Z").date) self.assertEqual(inst.entry[4].resource.meta.lastUpdated.as_json(), "2012-05-29T23:45:32Z") self.assertEqual(inst.entry[5].resource.id, "18") self.assertEqual(inst.entry[5].resource.meta.lastUpdated.date, FHIRDate("2012-05-29T23:45:32Z").date) self.assertEqual(inst.entry[5].resource.meta.lastUpdated.as_json(), "2012-05-29T23:45:32Z") self.assertEqual(inst.entry[6].resource.id, "19") self.assertEqual(inst.entry[6].resource.meta.lastUpdated.date, FHIRDate("2012-05-29T23:45:32Z").date) self.assertEqual(inst.entry[6].resource.meta.lastUpdated.as_json(), "2012-05-29T23:45:32Z") self.assertEqual(inst.entry[7].resource.id, "20") self.assertEqual(inst.entry[7].resource.meta.lastUpdated.date, FHIRDate("2012-05-29T23:45:32Z").date) self.assertEqual(inst.entry[7].resource.meta.lastUpdated.as_json(), "2012-05-29T23:45:32Z") self.assertEqual(inst.entry[8].resource.id, "21") self.assertEqual(inst.entry[8].resource.meta.lastUpdated.date, FHIRDate("2012-05-29T23:45:32Z").date) self.assertEqual(inst.entry[8].resource.meta.lastUpdated.as_json(), "2012-05-29T23:45:32Z") self.assertEqual(inst.entry[9].resource.id, "22") self.assertEqual(inst.entry[9].resource.meta.lastUpdated.date, FHIRDate("2012-05-29T23:45:32Z").date) self.assertEqual(inst.entry[9].resource.meta.lastUpdated.as_json(), "2012-05-29T23:45:32Z") self.assertEqual(inst.id, "3ad0687e-f477-468c-afd5-fcc2bf897809") self.assertEqual(inst.meta.lastUpdated.date, FHIRDate("2012-05-29T23:45:32Z").date) self.assertEqual(inst.meta.lastUpdated.as_json(), "2012-05-29T23:45:32Z") self.assertEqual(inst.type, "collection") def testBundle9(self): inst = self.instantiate_from("questionnaire-sdc-profile-example.json") self.assertIsNotNone(inst, "Must have instantiated a Bundle instance") self.implBundle9(inst) js = inst.as_json() self.assertEqual("Bundle", js["resourceType"]) inst2 = bundle.Bundle(js) self.implBundle9(inst2) def implBundle9(self, inst): self.assertEqual(inst.base, "http://AHRQ.org/form") self.assertEqual(inst.entry[0].resource.extension[0].url, "http://hl7.org/fhir/StructureDefinition/questionnaire-category") self.assertEqual(inst.entry[0].resource.extension[0].valueCodeableConcept.coding[0].code, "Acute Care Hospitals") self.assertEqual(inst.entry[0].resource.id, "F8-1.2") self.assertEqual(inst.entry[0].resource.meta.lastUpdated.date, FHIRDate("2014-05-15T17:25:15Z").date) self.assertEqual(inst.entry[0].resource.meta.lastUpdated.as_json(), "2014-05-15T17:25:15Z") self.assertEqual(inst.entry[1].resource.id, "HERF-1.2") self.assertEqual(inst.entry[1].resource.meta.lastUpdated.date, FHIRDate("2014-05-15T17:25:15Z").date) self.assertEqual(inst.entry[1].resource.meta.lastUpdated.as_json(), "2014-05-15T17:25:15Z") self.assertEqual(inst.entry[2].resource.extension[0].url, "http://hl7.org/fhir/StructureDefinition/questionnaire-category") self.assertEqual(inst.entry[2].resource.extension[0].valueCodeableConcept.coding[0].code, "CRF") self.assertEqual(inst.entry[2].resource.id, "3921052v1.0") self.assertEqual(inst.entry[2].resource.language, "en") self.assertEqual(inst.entry[2].resource.meta.lastUpdated.date, FHIRDate("2014-05-15T17:25:15Z").date) self.assertEqual(inst.entry[2].resource.meta.lastUpdated.as_json(), "2014-05-15T17:25:15Z") self.assertEqual(inst.entry[3].resource.extension[0].url, "http://hl7.org/fhir/StructureDefinition/questionnaire-category") self.assertEqual(inst.entry[3].resource.extension[0].valueCodeableConcept.coding[0].code, "CRF") self.assertEqual(inst.entry[3].resource.extension[1].url, "http://hl7.org/fhir/StructureDefinition/questionnaire-category") self.assertEqual(inst.entry[3].resource.extension[1].valueCodeableConcept.coding[0].code, "Demographic") self.assertEqual(inst.entry[3].resource.id, "2674812v4.0") self.assertEqual(inst.entry[3].resource.language, "en") self.assertEqual(inst.entry[3].resource.meta.lastUpdated.date, FHIRDate("2014-05-15T17:25:15Z").date) self.assertEqual(inst.entry[3].resource.meta.lastUpdated.as_json(), "2014-05-15T17:25:15Z") self.assertEqual(inst.entry[4].resource.extension[0].url, "http://hl7.org/fhir/StructureDefinition/questionnaire-category") self.assertEqual(inst.entry[4].resource.extension[0].valueCodeableConcept.coding[0].code, "CRF") self.assertEqual(inst.entry[4].resource.id, "3265657v2.0") self.assertEqual(inst.entry[4].resource.language, "en") self.assertEqual(inst.entry[4].resource.meta.lastUpdated.date, FHIRDate("2014-05-15T17:25:15Z").date) self.assertEqual(inst.entry[4].resource.meta.lastUpdated.as_json(), "2014-05-15T17:25:15Z") self.assertEqual(inst.id, "sdc") self.assertEqual(inst.meta.lastUpdated.date, FHIRDate("2014-05-15T17:25:15Z").date) self.assertEqual(inst.meta.lastUpdated.as_json(), "2014-05-15T17:25:15Z") self.assertEqual(inst.type, "collection") def testBundle10(self): inst = self.instantiate_from("xds-example.json") self.assertIsNotNone(inst, "Must have instantiated a Bundle instance") self.implBundle10(inst) js = inst.as_json() self.assertEqual("Bundle", js["resourceType"]) inst2 = bundle.Bundle(js) self.implBundle10(inst2) def implBundle10(self, inst): self.assertEqual(inst.base, "cid:123@healthintersections.com.au") self.assertEqual(inst.entry[0].resource.id, "a1") self.assertEqual(inst.entry[0].resource.meta.lastUpdated.date, FHIRDate("2013-07-01T13:11:33Z").date) self.assertEqual(inst.entry[0].resource.meta.lastUpdated.as_json(), "2013-07-01T13:11:33Z") self.assertEqual(inst.entry[0].transaction.method, "POST") self.assertEqual(inst.entry[0].transaction.url, "DocumentReference") self.assertEqual(inst.entry[1].resource.id, "a2") self.assertEqual(inst.entry[1].resource.meta.lastUpdated.date, FHIRDate("2013-07-01T13:11:33Z").date) self.assertEqual(inst.entry[1].resource.meta.lastUpdated.as_json(), "2013-07-01T13:11:33Z") self.assertEqual(inst.entry[1].transaction.ifNoneExist, "Patient?identifier=http://acme.org/xds/patients!89765a87b") self.assertEqual(inst.entry[1].transaction.method, "POST") self.assertEqual(inst.entry[1].transaction.url, "Patient") self.assertEqual(inst.entry[2].resource.id, "a3") self.assertEqual(inst.entry[2].resource.meta.lastUpdated.date, FHIRDate("2013-07-01T13:11:33Z").date) self.assertEqual(inst.entry[2].resource.meta.lastUpdated.as_json(), "2013-07-01T13:11:33Z") self.assertEqual(inst.entry[2].transaction.method, "POST") self.assertEqual(inst.entry[2].transaction.url, "Practitioner") self.assertEqual(inst.entry[3].resource.id, "a4") self.assertEqual(inst.entry[3].resource.meta.lastUpdated.date, FHIRDate("2013-07-01T13:11:33Z").date) self.assertEqual(inst.entry[3].resource.meta.lastUpdated.as_json(), "2013-07-01T13:11:33Z") self.assertEqual(inst.entry[3].transaction.method, "POST") self.assertEqual(inst.entry[3].transaction.url, "Practitioner") self.assertEqual(inst.entry[4].resource.id, "1e404af3-077f-4bee-b7a6-a9be97e1ce32") self.assertEqual(inst.entry[4].resource.meta.lastUpdated.date, FHIRDate("2013-07-01T13:11:33Z").date) self.assertEqual(inst.entry[4].resource.meta.lastUpdated.as_json(), "2013-07-01T13:11:33Z") self.assertEqual(inst.entry[4].transaction.method, "POST") self.assertEqual(inst.entry[4].transaction.url, "Binary") self.assertEqual(inst.id, "xds") self.assertEqual(inst.meta.lastUpdated.date, FHIRDate("2013-07-01T13:11:33Z").date) self.assertEqual(inst.meta.lastUpdated.as_json(), "2013-07-01T13:11:33Z") self.assertEqual(inst.type, "transaction")
69.262115
158
0.691461
4,279
31,445
5.056555
0.072681
0.222535
0.272219
0.28063
0.901789
0.88515
0.870315
0.807182
0.793178
0.786384
0
0.116932
0.136779
31,445
453
159
69.415011
0.680187
0.003594
0
0.358354
1
0.002421
0.196163
0.032433
0
0
0
0
0.801453
1
0.050847
false
0
0.014528
0
0.070218
0
0
0
0
null
1
1
1
1
1
1
1
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0
1
0
0
0
0
0
0
0
0
0
11
4e9b58ac687bf89d02ce72ac68ad183f8539015e
41
py
Python
test_web_directory/test_package/b/mod.py
ParikhKadam/httpimport
47786966477c03b12298fd6f23fd8ce9d23b9140
[ "Apache-2.0" ]
196
2017-08-23T15:44:14.000Z
2022-03-29T14:27:02.000Z
test_web_directory/test_package/b/mod.py
ParikhKadam/httpimport
47786966477c03b12298fd6f23fd8ce9d23b9140
[ "Apache-2.0" ]
34
2017-12-17T16:57:49.000Z
2022-01-29T20:07:19.000Z
test_web_directory/test_package/b/mod.py
ParikhKadam/httpimport
47786966477c03b12298fd6f23fd8ce9d23b9140
[ "Apache-2.0" ]
42
2017-10-16T22:08:45.000Z
2022-03-02T16:05:17.000Z
def module_name(): return 'Module B'
13.666667
21
0.658537
6
41
4.333333
0.833333
0
0
0
0
0
0
0
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0.219512
41
2
22
20.5
0.8125
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0.5
true
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null
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null
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1
1
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1
1
0
0
7
4ea2dbe767a973f65e907f10ccd776620681c7e5
1,405
py
Python
src/tests/test_logout_pass.py
chickenPopcorn/food-truck-inc
ed45fe4be9a4256a24d75e540c66e0605c6f3329
[ "MIT" ]
1
2016-10-17T01:10:02.000Z
2016-10-17T01:10:02.000Z
src/tests/test_logout_pass.py
chickenPopcorn/food-truck-inc
ed45fe4be9a4256a24d75e540c66e0605c6f3329
[ "MIT" ]
11
2016-10-16T11:36:11.000Z
2016-12-28T03:15:01.000Z
src/tests/test_logout_pass.py
chickenPopcorn/food-truck-inc
ed45fe4be9a4256a24d75e540c66e0605c6f3329
[ "MIT" ]
1
2016-10-17T01:10:03.000Z
2016-10-17T01:10:03.000Z
import os, sys sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) from app import app from blueprint_test_case import BaseTestCase class FlaskTestCase(BaseTestCase): # Ensure login behaves correctly with correct credentials def test_correct_customer_login(self): # login as that user response = self.client.post( '/login/vendor', data = dict(username="testing", password="testing") ) self.assertEqual(response.status_code, 200) self.assertIn(b'Login successful!', response.data) # then logout response = self.client.get( '/logout' ) self.assertEqual(response.status_code, 200) self.assertIn(u'"You logged out!', response.data) # Ensure login behaves correctly with correct credentials def test_correct_vendor_login(self): # login as that user response = self.client.post( '/login/customer', data = dict(username="testing", password="testing") ) self.assertEqual(response.status_code, 200) self.assertIn(b'Login successful!', response.data) # then logout response = self.client.get( '/logout' ) self.assertEqual(response.status_code, 200) self.assertIn(u'"You logged out!', response.data)
35.125
77
0.620641
155
1,405
5.522581
0.335484
0.056075
0.084112
0.135514
0.827103
0.78972
0.78972
0.78972
0.78972
0.78972
0
0.011834
0.278292
1,405
40
78
35.125
0.832347
0.123132
0
0.551724
0
0
0.114575
0
0
0
0
0
0.275862
1
0.068966
false
0.068966
0.103448
0
0.206897
0.034483
0
0
0
null
0
0
0
1
1
1
1
1
1
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null
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0
0
0
0
0
1
0
0
0
0
0
7
11806ba1078474ca84366a588e7af57e0d1d649d
216
py
Python
handy_graph/__init__.py
fuvty/handy_graph
6d3c81aeb1993d2248c149ac567e5f6d9cb04981
[ "Apache-2.0" ]
1
2022-02-08T12:20:19.000Z
2022-02-08T12:20:19.000Z
handy_graph/__init__.py
fuvty/handy_graph
6d3c81aeb1993d2248c149ac567e5f6d9cb04981
[ "Apache-2.0" ]
null
null
null
handy_graph/__init__.py
fuvty/handy_graph
6d3c81aeb1993d2248c149ac567e5f6d9cb04981
[ "Apache-2.0" ]
null
null
null
# networkx from handy_graph.nx.AdjacentDict import * from handy_graph.nx.GraphFileIO import * from handy_graph.nx.Interface import * from handy_graph.nx.Relabel import * from handy_graph.common.GreedyGather import *
30.857143
45
0.824074
31
216
5.580645
0.387097
0.260116
0.404624
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11a269fff8fcdcbcc439553b3db99986e145c582
4,657
py
Python
BigWorld/RibbonCollection.py
kagurazakasanae/wows_replay_parser
8b9067b82fd898a35f0f7c54d05b7cf4919ac11d
[ "MIT" ]
4
2020-03-16T16:07:39.000Z
2021-12-28T00:09:28.000Z
BigWorld/RibbonCollection.py
kagurazakasanae/wows_replay_parser
8b9067b82fd898a35f0f7c54d05b7cf4919ac11d
[ "MIT" ]
null
null
null
BigWorld/RibbonCollection.py
kagurazakasanae/wows_replay_parser
8b9067b82fd898a35f0f7c54d05b7cf4919ac11d
[ "MIT" ]
1
2020-07-16T22:44:35.000Z
2020-07-16T22:44:35.000Z
from BigWorld.BaseCollection import * from BigWorld.RibbonType import * class RibbonCollection(BaseCollection): def getMap(self): return {0:RIBBON_MAIN_CALIBER, 1:RIBBON_TORPEDO, 2:RIBBON_BOMB, 3:RIBBON_PLANE, 4:RIBBON_CRIT, 5:RIBBON_FRAG, 6:RIBBON_BURN, 7:RIBBON_FLOOD, 8:RIBBON_CITADEL, 9:RIBBON_BASE_DEFENSE, 10:RIBBON_BASE_CAPTURE, 11:RIBBON_BASE_CAPTURE_ASSIST, 12:RIBBON_SUPPRESSED, 13:RIBBON_SECONDARY_CALIBER, 14:RIBBON_MAIN_CALIBER_OVER_PENETRATION, 15:RIBBON_MAIN_CALIBER_PENETRATION, 16:RIBBON_MAIN_CALIBER_NO_PENETRATION, 17:RIBBON_MAIN_CALIBER_RICOCHET, 18:RIBBON_BUILDING_KILL, 19:RIBBON_DETECTED, 20:RIBBON_BOMB_OVER_PENETRATION, 21:RIBBON_BOMB_PENETRATION, 22:RIBBON_BOMB_NO_PENETRATION, 23:RIBBON_BOMB_RICOCHET} def addById(self, itemId, value=1): super(RibbonCollection, self).addById(itemId, value) itemCode = self.getCodeById(itemId) if itemCode == RIBBON_MAIN_CALIBER_PENETRATION or itemCode == RIBBON_MAIN_CALIBER_OVER_PENETRATION or itemCode == RIBBON_MAIN_CALIBER_NO_PENETRATION or itemCode == RIBBON_MAIN_CALIBER_RICOCHET or itemCode == RIBBON_CITADEL: super(RibbonCollection, self).add(RIBBON_MAIN_CALIBER, value) elif itemCode == RIBBON_BOMB_OVER_PENETRATION or itemCode == RIBBON_BOMB_PENETRATION or itemCode == RIBBON_BOMB_NO_PENETRATION or itemCode == RIBBON_BOMB_RICOCHET: super(RibbonCollection, self).add(RIBBON_BOMB, value) class RibbonCollection_0_7_11(RibbonCollection): def addById(self, itemId, value=1): super(RibbonCollection_0_7_11, self).addById(itemId, value) itemCode = self.getCodeById(itemId) if itemCode == RIBBON_CITADEL: super(RibbonCollection, self).add(RIBBON_MAIN_CALIBER, -value) class RibbonCollection_0_8_0(RibbonCollection_0_7_11): def getMap(self): return {0:RIBBON_MAIN_CALIBER, 1:RIBBON_TORPEDO, 2:RIBBON_BOMB, 3:RIBBON_PLANE, 4:RIBBON_CRIT, 5:RIBBON_FRAG, 6:RIBBON_BURN, 7:RIBBON_FLOOD, 8:RIBBON_CITADEL, 9:RIBBON_BASE_DEFENSE, 10:RIBBON_BASE_CAPTURE, 11:RIBBON_BASE_CAPTURE_ASSIST, 12:RIBBON_SUPPRESSED, 13:RIBBON_SECONDARY_CALIBER, 14:RIBBON_MAIN_CALIBER_OVER_PENETRATION, 15:RIBBON_MAIN_CALIBER_PENETRATION, 16:RIBBON_MAIN_CALIBER_NO_PENETRATION, 17:RIBBON_MAIN_CALIBER_RICOCHET, 18:RIBBON_BUILDING_KILL, 19:RIBBON_DETECTED, 20:RIBBON_BOMB_OVER_PENETRATION, 21:RIBBON_BOMB_PENETRATION, 22:RIBBON_BOMB_NO_PENETRATION, 23:RIBBON_BOMB_RICOCHET, 25:RIBBON_ROCKET_PENETRATION, 26:RIBBON_ROCKET_NO_PENETRATION, 27:RIBBON_SPLANE} class RibbonCollection_0_8_5(RibbonCollection_0_8_0): def getMap(self): return {0:RIBBON_MAIN_CALIBER, 1:RIBBON_TORPEDO, 2:RIBBON_BOMB, 3:RIBBON_PLANE, 4:RIBBON_CRIT, 5:RIBBON_FRAG, 6:RIBBON_BURN, 7:RIBBON_FLOOD, 8:RIBBON_CITADEL, 9:RIBBON_BASE_DEFENSE, 10:RIBBON_BASE_CAPTURE, 11:RIBBON_BASE_CAPTURE_ASSIST, 12:RIBBON_SUPPRESSED, 13:RIBBON_SECONDARY_CALIBER, 14:RIBBON_MAIN_CALIBER_OVER_PENETRATION, 15:RIBBON_MAIN_CALIBER_PENETRATION, 16:RIBBON_MAIN_CALIBER_NO_PENETRATION, 17:RIBBON_MAIN_CALIBER_RICOCHET, 18:RIBBON_BUILDING_KILL, 19:RIBBON_DETECTED, 20:RIBBON_BOMB_OVER_PENETRATION, 21:RIBBON_BOMB_PENETRATION, 22:RIBBON_BOMB_NO_PENETRATION, 23:RIBBON_BOMB_RICOCHET, 24:RIBBON_ROCKET, 25:RIBBON_ROCKET_PENETRATION, 26:RIBBON_ROCKET_NO_PENETRATION, 27:RIBBON_SPLANE, 28:RIBBON_BULGE, 29:RIBBON_BOMB_BULGE, 30:RIBBON_ROCKET_BULGE} def addById(self, itemId, value=1): super(RibbonCollection_0_8_5, self).addById(itemId, value) itemCode = self.getCodeById(itemId) if itemCode == RIBBON_BULGE: super(RibbonCollection_0_8_5, self).add(RIBBON_MAIN_CALIBER, value) elif itemCode == RIBBON_BOMB_BULGE: super(RibbonCollection_0_8_5, self).add(RIBBON_BOMB, value)
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7
11e30f157a0b775d0e970d5f30e1499b6b560162
7,030
py
Python
tests/test_container.py
bdraco/pyhaversion
87851f8fe868c1a5d5cdcdd56a1064031d37e220
[ "MIT" ]
4
2020-12-30T23:34:37.000Z
2021-11-08T09:13:45.000Z
tests/test_container.py
bdraco/pyhaversion
87851f8fe868c1a5d5cdcdd56a1064031d37e220
[ "MIT" ]
27
2019-08-27T08:05:18.000Z
2022-03-18T06:05:49.000Z
tests/test_container.py
bdraco/pyhaversion
87851f8fe868c1a5d5cdcdd56a1064031d37e220
[ "MIT" ]
9
2019-07-02T06:19:46.000Z
2021-11-04T16:18:42.000Z
"""Tests for Container.""" import json from unittest.mock import patch import aiohttp import pytest from pyhaversion import HaVersion from pyhaversion.consts import HaVersionChannel, HaVersionSource from pyhaversion.exceptions import HaVersionInputException from tests.common import fixture from .const import ( BETA_VERSION, BETA_VERSION_BETA_WEEK, DEV_VERSION, HEADERS, STABLE_VERSION, STABLE_VERSION_BETA_WEEK, ) @pytest.mark.asyncio async def test_stable_version(HaVersion): """Test container stable.""" with patch( "pyhaversion.container.HaVersionContainer.data", fixture("container/default"), ): async with aiohttp.ClientSession() as session: haversion = HaVersion(session=session, source=HaVersionSource.CONTAINER) await haversion.get_version() assert haversion.version == STABLE_VERSION @pytest.mark.asyncio async def test_beta_version(HaVersion): """Test container beta.""" with patch( "pyhaversion.container.HaVersionContainer.data", fixture("container/beta_week"), ): async with aiohttp.ClientSession() as session: haversion = HaVersion( session=session, source=HaVersionSource.CONTAINER, channel=HaVersionChannel.BETA, ) await haversion.get_version() assert haversion.version == BETA_VERSION @pytest.mark.asyncio async def test_dev_version(HaVersion): """Test container dev.""" with patch( "pyhaversion.container.HaVersionContainer.data", fixture("container/default"), ): async with aiohttp.ClientSession() as session: haversion = HaVersion( session=session, source=HaVersionSource.CONTAINER, channel=HaVersionChannel.DEV, ) await haversion.get_version() assert haversion.version == DEV_VERSION @pytest.mark.asyncio async def test_stable_version_beta_week(HaVersion): """Test container stable during beta week.""" with patch( "pyhaversion.container.HaVersionContainer.data", fixture("container/beta_week"), ): async with aiohttp.ClientSession() as session: haversion = HaVersion( session=session, source=HaVersionSource.CONTAINER, ) await haversion.get_version() assert haversion.version == STABLE_VERSION_BETA_WEEK @pytest.mark.asyncio async def test_beta_version_beta_week(HaVersion): """Test container beta during beta week.""" with patch( "pyhaversion.container.HaVersionContainer.data", fixture("container/beta_week"), ): async with aiohttp.ClientSession() as session: haversion = HaVersion( session=session, source=HaVersionSource.CONTAINER, channel=HaVersionChannel.BETA, ) await haversion.get_version() assert haversion.version == BETA_VERSION_BETA_WEEK @pytest.mark.asyncio async def test_stable_version_pagination(aresponses): """Test container beta during beta week.""" aresponses.add( "registry.hub.docker.com", "/v2/repositories/homeassistant/home-assistant/tags", "get", aresponses.Response( text=fixture("container/page1", False), status=200, headers=HEADERS ), ) aresponses.add( "registry.hub.docker.com", "/v2/repositories/homeassistant/home-assistant/tags/page2", "get", aresponses.Response( text=fixture("container/page2", False), status=200, headers=HEADERS ), ) async with aiohttp.ClientSession() as session: haversion = HaVersion( session=session, source=HaVersionSource.CONTAINER, ) await haversion.get_version() assert haversion.version == STABLE_VERSION @pytest.mark.asyncio async def test_beta_version_pagination(aresponses): """Test container beta during beta week.""" aresponses.add( "registry.hub.docker.com", "/v2/repositories/homeassistant/home-assistant/tags", "get", aresponses.Response( text=fixture("container/beta_week_page1", False), status=200, headers=HEADERS, ), ) aresponses.add( "registry.hub.docker.com", "/v2/repositories/homeassistant/home-assistant/tags/page2", "get", aresponses.Response( text=fixture("container/beta_week_page2", False), status=200, headers=HEADERS, ), ) async with aiohttp.ClientSession() as session: haversion = HaVersion( session=session, source=HaVersionSource.CONTAINER, channel=HaVersionChannel.BETA, ) await haversion.get_version() assert haversion.version == BETA_VERSION @pytest.mark.asyncio async def test_stable_version_beta_week_pagination(aresponses): """Test container beta during beta week.""" aresponses.add( "registry.hub.docker.com", "/v2/repositories/homeassistant/home-assistant/tags", "get", aresponses.Response( text=fixture("container/beta_week_page1", False), status=200, headers=HEADERS, ), ) aresponses.add( "registry.hub.docker.com", "/v2/repositories/homeassistant/home-assistant/tags/page2", "get", aresponses.Response( text=fixture("container/beta_week_page2", False), status=200, headers=HEADERS, ), ) async with aiohttp.ClientSession() as session: haversion = HaVersion( session=session, source=HaVersionSource.CONTAINER, ) await haversion.get_version() assert haversion.version == STABLE_VERSION_BETA_WEEK @pytest.mark.asyncio async def test_beta_version_beta_week_pagination(aresponses): """Test container beta during beta week.""" aresponses.add( "registry.hub.docker.com", "/v2/repositories/homeassistant/home-assistant/tags", "get", aresponses.Response( text=fixture("container/beta_week_page1", False), status=200, headers=HEADERS, ), ) aresponses.add( "registry.hub.docker.com", "/v2/repositories/homeassistant/home-assistant/tags/page2", "get", aresponses.Response( text=fixture("container/beta_week_page2", False), status=200, headers=HEADERS, ), ) async with aiohttp.ClientSession() as session: haversion = HaVersion( session=session, source=HaVersionSource.CONTAINER, channel=HaVersionChannel.BETA, ) await haversion.get_version() assert haversion.version == BETA_VERSION_BETA_WEEK
30.565217
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0.882136
0.882136
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0.272973
7,030
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0
0
0
0
0
0
7
11fec301f0428bf29cf5ced6dd3d1661af4758cb
5,037
py
Python
chat_wars_database/app/business_core/migrations/0003_auto_20191230_2115.py
ricardochaves/chat-wars-database
597f192fb6ddf290c6c7477cf8c7d0ca654925f6
[ "MIT" ]
1
2019-12-30T19:16:52.000Z
2019-12-30T19:16:52.000Z
chat_wars_database/app/business_core/migrations/0003_auto_20191230_2115.py
ricardochaves/chat-wars-database
597f192fb6ddf290c6c7477cf8c7d0ca654925f6
[ "MIT" ]
null
null
null
chat_wars_database/app/business_core/migrations/0003_auto_20191230_2115.py
ricardochaves/chat-wars-database
597f192fb6ddf290c6c7477cf8c7d0ca654925f6
[ "MIT" ]
null
null
null
# Generated by Django 3.0.1 on 2019-12-30 21:15 from django.db import migrations from django.db import models class Migration(migrations.Migration): dependencies = [("business_core", "0002_exchangeitems")] operations = [ migrations.DeleteModel(name="ExchangeItems"), migrations.AddField( model_name="item", name="can_be_found_in_quests", field=models.BooleanField(blank=True, default=None, null=True), ), migrations.AddField( model_name="item", name="category", field=models.CharField(blank=True, max_length=100, null=True) ), migrations.AddField( model_name="item", name="craft_command", field=models.CharField(blank=True, max_length=30, null=True) ), migrations.AddField( model_name="item", name="craftable", field=models.BooleanField(blank=True, default=None, null=True) ), migrations.AddField( model_name="item", name="depositable_in_guild", field=models.BooleanField(blank=True, default=None, null=True), ), migrations.AddField( model_name="item", name="event_item", field=models.BooleanField(blank=True, default=None, null=True) ), migrations.AddField( model_name="item", name="item_type", field=models.CharField(blank=True, max_length=100, null=True) ), migrations.AddField( model_name="item", name="mana_crafting", field=models.IntegerField(blank=True, default=None, null=True) ), migrations.AddField( model_name="item", name="quest_foray_day", field=models.BooleanField(blank=True, default=None, null=True) ), migrations.AddField( model_name="item", name="quest_foray_evening", field=models.BooleanField(blank=True, default=None, null=True), ), migrations.AddField( model_name="item", name="quest_foray_morning", field=models.BooleanField(blank=True, default=None, null=True), ), migrations.AddField( model_name="item", name="quest_foray_night", field=models.BooleanField(blank=True, default=None, null=True) ), migrations.AddField( model_name="item", name="quest_forest_day", field=models.BooleanField(blank=True, default=None, null=True) ), migrations.AddField( model_name="item", name="quest_forest_evening", field=models.BooleanField(blank=True, default=None, null=True), ), migrations.AddField( model_name="item", name="quest_forest_morning", field=models.BooleanField(blank=True, default=None, null=True), ), migrations.AddField( model_name="item", name="quest_forest_night", field=models.BooleanField(blank=True, default=None, null=True) ), migrations.AddField( model_name="item", name="quest_swamp_day", field=models.BooleanField(blank=True, default=None, null=True) ), migrations.AddField( model_name="item", name="quest_swamp_evening", field=models.BooleanField(blank=True, default=None, null=True), ), migrations.AddField( model_name="item", name="quest_swamp_morning", field=models.BooleanField(blank=True, default=None, null=True), ), migrations.AddField( model_name="item", name="quest_swamp_night", field=models.BooleanField(blank=True, default=None, null=True) ), migrations.AddField( model_name="item", name="quest_valley_day", field=models.BooleanField(blank=True, default=None, null=True) ), migrations.AddField( model_name="item", name="quest_valley_evening", field=models.BooleanField(blank=True, default=None, null=True), ), migrations.AddField( model_name="item", name="quest_valley_morning", field=models.BooleanField(blank=True, default=None, null=True), ), migrations.AddField( model_name="item", name="quest_valley_night", field=models.BooleanField(blank=True, default=None, null=True) ), migrations.AddField( model_name="item", name="skill_craft_level", field=models.IntegerField(blank=True, default=None, null=True) ), migrations.AddField( model_name="item", name="tradeable_auction", field=models.BooleanField(blank=True, default=None, null=True) ), migrations.AddField( model_name="item", name="tradeable_exchange", field=models.BooleanField(blank=True, default=None, null=True) ), migrations.AddField( model_name="item", name="weight", field=models.DecimalField(blank=True, decimal_places=2, max_digits=8, null=True), ), ]
41.975
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9
ee97be4410a480071e2228af213a71dbdeec4043
3,278
py
Python
peer/chaincode_shim_pb2_grpc.py
jeffgarratt/fabric-prototype
46cfc67a1d74d1f38f498d3409327692fb733fd0
[ "CC-BY-4.0" ]
6
2017-10-16T13:46:46.000Z
2020-02-28T07:48:51.000Z
peer/chaincode_shim_pb2_grpc.py
jeffgarratt/fabric-prototype
46cfc67a1d74d1f38f498d3409327692fb733fd0
[ "CC-BY-4.0" ]
18
2017-10-02T16:31:51.000Z
2020-02-24T21:39:20.000Z
peer/chaincode_shim_pb2_grpc.py
jeffgarratt/fabric-prototype
46cfc67a1d74d1f38f498d3409327692fb733fd0
[ "CC-BY-4.0" ]
4
2019-02-01T14:46:21.000Z
2021-06-01T05:49:11.000Z
# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT! import grpc from peer import chaincode_shim_pb2 as peer_dot_chaincode__shim__pb2 class ChaincodeSupportStub(object): """Interface that provides support to chaincode execution. ChaincodeContext provides the context necessary for the server to respond appropriately. """ def __init__(self, channel): """Constructor. Args: channel: A grpc.Channel. """ self.Register = channel.stream_stream( '/protos.ChaincodeSupport/Register', request_serializer=peer_dot_chaincode__shim__pb2.ChaincodeMessage.SerializeToString, response_deserializer=peer_dot_chaincode__shim__pb2.ChaincodeMessage.FromString, ) class ChaincodeSupportServicer(object): """Interface that provides support to chaincode execution. ChaincodeContext provides the context necessary for the server to respond appropriately. """ def Register(self, request_iterator, context): # missing associated documentation comment in .proto file pass context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def add_ChaincodeSupportServicer_to_server(servicer, server): rpc_method_handlers = { 'Register': grpc.stream_stream_rpc_method_handler( servicer.Register, request_deserializer=peer_dot_chaincode__shim__pb2.ChaincodeMessage.FromString, response_serializer=peer_dot_chaincode__shim__pb2.ChaincodeMessage.SerializeToString, ), } generic_handler = grpc.method_handlers_generic_handler( 'protos.ChaincodeSupport', rpc_method_handlers) server.add_generic_rpc_handlers((generic_handler,)) class ChaincodeStub(object): """Chaincode as a server - peer establishes a connection to the chaincode as a client Currently only supports a stream connection. """ def __init__(self, channel): """Constructor. Args: channel: A grpc.Channel. """ self.Connect = channel.stream_stream( '/protos.Chaincode/Connect', request_serializer=peer_dot_chaincode__shim__pb2.ChaincodeMessage.SerializeToString, response_deserializer=peer_dot_chaincode__shim__pb2.ChaincodeMessage.FromString, ) class ChaincodeServicer(object): """Chaincode as a server - peer establishes a connection to the chaincode as a client Currently only supports a stream connection. """ def Connect(self, request_iterator, context): # missing associated documentation comment in .proto file pass context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def add_ChaincodeServicer_to_server(servicer, server): rpc_method_handlers = { 'Connect': grpc.stream_stream_rpc_method_handler( servicer.Connect, request_deserializer=peer_dot_chaincode__shim__pb2.ChaincodeMessage.FromString, response_serializer=peer_dot_chaincode__shim__pb2.ChaincodeMessage.SerializeToString, ), } generic_handler = grpc.method_handlers_generic_handler( 'protos.Chaincode', rpc_method_handlers) server.add_generic_rpc_handlers((generic_handler,))
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0
0
0
0
0
0
7
eeb3dcabf9443e3e638604b7c362f78dd794de47
2,701
py
Python
Segmentation/builders/frontend_builder.py
ardywibowo/LBD
1c56917fa0797c98ef1233879849c9ec536fe896
[ "MIT" ]
null
null
null
Segmentation/builders/frontend_builder.py
ardywibowo/LBD
1c56917fa0797c98ef1233879849c9ec536fe896
[ "MIT" ]
null
null
null
Segmentation/builders/frontend_builder.py
ardywibowo/LBD
1c56917fa0797c98ef1233879849c9ec536fe896
[ "MIT" ]
null
null
null
import tensorflow as tf from tensorflow.contrib import slim from frontends import resnet_v2 from frontends import mobilenet_v2 from frontends import inception_v4 from frontends import xception import os def build_frontend_bayesian(inputs, first_pass, batch_size, frontend, is_training=True, pretrained_dir="models", pretrained_file="xception_65.ckpt",one_parameter=False): if frontend == 'XceptionBayesian': with slim.arg_scope(xception.xception_arg_scope()): logits, end_points = xception.xception_65_bayesian(inputs, first_pass, batch_size, is_training=is_training, scope='xception_65',one_parameter=one_parameter) frontend_scope='xception_65' init_fn = slim.assign_from_checkpoint_fn(model_path=os.path.join(pretrained_dir, pretrained_file), var_list=slim.get_model_variables('xception_65'), ignore_missing_vars=True) else: raise ValueError("Unsupported fronetnd model '%s'. This function only supports Xception" % (frontend)) return logits, end_points, frontend_scope, init_fn def build_frontend(inputs, frontend, is_training=True, pretrained_dir="models", pretrained_file=None,one_parameter=False): if frontend == 'XceptionConcrete': with slim.arg_scope(xception.xception_arg_scope()): logits, end_points = xception.xception_65_concrete(inputs, is_training=is_training, scope='xception_65',one_parameter=one_parameter) frontend_scope='xception_65' init_fn = slim.assign_from_checkpoint_fn(model_path=os.path.join(pretrained_dir, pretrained_file), var_list=slim.get_model_variables('xception_65'), ignore_missing_vars=True) elif frontend == 'Xception': with slim.arg_scope(xception.xception_arg_scope()): logits, end_points = xception.xception_65_concrete(inputs, is_training=is_training, scope='xception_65') frontend_scope='xception_65' init_fn = slim.assign_from_checkpoint_fn(model_path=os.path.join(pretrained_dir, pretrained_file), var_list=slim.get_model_variables('xception_65'), ignore_missing_vars=True) elif frontend == 'XceptionMC': with slim.arg_scope(xception.xception_arg_scope()): logits, end_points = xception.xception_65_mc(inputs, is_training=is_training, scope='xception_65') frontend_scope='xception_65' init_fn = slim.assign_from_checkpoint_fn(model_path=os.path.join(pretrained_dir, pretrained_file), var_list=slim.get_model_variables('xception_65'), ignore_missing_vars=True) else: raise ValueError("Unsupported fronetnd model '%s'. This function only supports Xception" % (frontend)) return logits, end_points, frontend_scope, init_fn
64.309524
186
0.76268
357
2,701
5.420168
0.210084
0.087855
0.062016
0.033075
0.85478
0.826873
0.793798
0.793798
0.793798
0.736951
0
0.016017
0.144761
2,701
42
187
64.309524
0.821645
0
0
0.514286
0
0
0.128793
0
0
0
0
0
0
1
0.057143
false
0.057143
0.2
0
0.314286
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
e12b9f797e7ce35e83f026d3ff504b499e6bec40
2,410
py
Python
src/norm_functions.py
javiferfer/Cross-subject-EEG-emotion-recognition-through-NN
3dbb665167b9f42d608a2917a2987a05bbf335f7
[ "MIT" ]
6
2021-04-17T20:48:14.000Z
2021-11-02T13:07:14.000Z
src/norm_functions.py
javiferfer/Cross-subject-EEG-emotion-recognition-through-NN
3dbb665167b9f42d608a2917a2987a05bbf335f7
[ "MIT" ]
null
null
null
src/norm_functions.py
javiferfer/Cross-subject-EEG-emotion-recognition-through-NN
3dbb665167b9f42d608a2917a2987a05bbf335f7
[ "MIT" ]
4
2021-02-26T07:24:56.000Z
2021-10-20T15:42:10.000Z
import numpy as np no_sessions = 3 no_participants = 15 no_channels = 62 no_features = 5 def normalization(data, no_videos): bandpower_seed_normalization = [] # Number of features no_features = int(len(data[0])/no_channels) for i in range(no_participants): for j in range(no_sessions): for k in range(no_videos): normalized_data = [] for l in range(no_channels): for m in range(no_features): max_number = np.max(data[:, l*no_features+m]) min_number = np.min(data[:, l*no_features+m]) feature = data[i*no_sessions*no_videos+j*no_videos + k, l * no_features + m] new_feature = (feature-min_number)/(max_number - min_number) normalized_data.append(new_feature) bandpower_seed_normalization.append(normalized_data) bandpower_seed_normalization = np.array(bandpower_seed_normalization) return bandpower_seed_normalization def normalization_per_participant_session(data, no_videos): bandpower_seed_normalization = [] # Number of features no_features = int(len(data[0])/no_channels) for i in range(no_participants): for j in range(no_sessions): for k in range(no_videos): normalized_data = [] for l in range(no_channels): for m in range(no_features): max_number = np.max(data[i*no_sessions*no_videos + j * no_videos: i*no_sessions*no_videos + (j + 1) * no_videos, l*no_features+m]) min_number = np.min(data[i*no_sessions*no_videos + j * no_videos: i*no_sessions*no_videos + (j + 1) * no_videos, l*no_features+m]) feature = data[i*no_sessions*no_videos+j*no_videos + k, l * no_features+m] new_feature = (feature-min_number)/(max_number - min_number) normalized_data.append(new_feature) bandpower_seed_normalization.append(normalized_data) bandpower_seed_normalization = np.array(bandpower_seed_normalization) return bandpower_seed_normalization
40.847458
100
0.571369
285
2,410
4.526316
0.154386
0.099225
0.20155
0.055814
0.908527
0.908527
0.908527
0.908527
0.908527
0.874419
0
0.006373
0.348963
2,410
58
101
41.551724
0.815806
0.015353
0
0.744186
0
0
0
0
0
0
0
0
0
1
0.046512
false
0
0.023256
0
0.116279
0
0
0
0
null
0
1
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
014e80ae692e50a4f8893fd77deda3b8f47a9fd6
14
py
Python
tests/var/add.py
Mieschendahl/assignment-final-stub
19eea657fcc4f8a455c42028f34b918628514cc0
[ "MIT" ]
11
2021-02-02T02:32:50.000Z
2021-12-30T12:55:41.000Z
tests/var/add.py
Mieschendahl/assignment-final-stub
19eea657fcc4f8a455c42028f34b918628514cc0
[ "MIT" ]
75
2021-01-27T10:53:10.000Z
2021-06-30T10:59:49.000Z
tests/var/add.py
Mieschendahl/assignment-final-stub
19eea657fcc4f8a455c42028f34b918628514cc0
[ "MIT" ]
6
2022-03-13T13:10:25.000Z
2022-03-28T22:18:12.000Z
print(40 + 2)
7
13
0.571429
3
14
2.666667
1
0
0
0
0
0
0
0
0
0
0
0.272727
0.214286
14
1
14
14
0.454545
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
015bea5bc4cd3d032863dde1a8b7181512d9fed9
3,818
py
Python
tests/tests/test_fields/test_number_fields.py
intellineers/django-bridger
ed097984a99df7da40a4d01bd00c56e3c6083056
[ "BSD-3-Clause" ]
2
2020-03-17T00:53:23.000Z
2020-07-16T07:00:33.000Z
tests/tests/test_fields/test_number_fields.py
intellineers/django-bridger
ed097984a99df7da40a4d01bd00c56e3c6083056
[ "BSD-3-Clause" ]
76
2019-12-05T01:15:57.000Z
2021-09-07T16:47:27.000Z
tests/tests/test_fields/test_number_fields.py
intellineers/django-bridger
ed097984a99df7da40a4d01bd00c56e3c6083056
[ "BSD-3-Clause" ]
1
2020-02-05T15:09:47.000Z
2020-02-05T15:09:47.000Z
from decimal import Decimal import pytest from rest_framework.exceptions import ValidationError from bridger.serializers import DecimalField, FloatField, IntegerField from bridger.serializers.fields.types import BridgerType from ...models import ModelTest class TestIntegerField: def setup_method(self): self.field = IntegerField() def test_not_none(self): assert self.field is not None @pytest.mark.parametrize("input, expected", [(1, 1), ("1", 1), (-1, -1), (0, 0)]) def test_to_internal_value(self, input, expected): assert self.field.to_internal_value(input) == expected @pytest.mark.parametrize("input", [None, [], "a", "", {}, 1.2]) def test_to_internal_value_validation_error(self, input): with pytest.raises(ValidationError): self.field.to_internal_value(input) def test_field_type(self): assert self.field.field_type == BridgerType.NUMBER.value def test_representation(self): assert self.field.get_representation(None, "field_name") == { "key": "field_name", "label": None, "type": self.field.field_type, "required": True, "read_only": False, "precision": 0, "decorators": [], } class TestDecimalField: def setup_method(self): self.field = DecimalField(decimal_places=2, max_digits=5) def test_not_none(self): assert self.field is not None @pytest.mark.parametrize( "input, expected", [(1.0, Decimal(1)), ("1.0", Decimal(1)), (-1.0, Decimal(-1)), (0, Decimal(0))], ) def test_to_internal_value(self, input, expected): assert self.field.to_internal_value(input) == expected @pytest.mark.parametrize("input", [None, [], "a", "", {}]) def test_to_internal_value_validation_error(self, input): with pytest.raises(ValidationError): self.field.to_internal_value(input) def test_field_type(self): assert self.field.field_type == BridgerType.NUMBER.value def test_representation(self): assert self.field.get_representation(None, "field_name") == { "key": "field_name", "label": None, "type": self.field.field_type, "required": True, "read_only": False, "precision": 2, "decorators": [], } def test_percent_representation(self): _field = self.field _field.percent = True assert _field.get_representation(None, "field_name") == { "key": "field_name", "label": None, "type": BridgerType.PERCENT.value, "required": True, "read_only": False, "precision": 0, "decorators": [], } class TestFloatField: def setup_method(self): self.field = FloatField() def test_not_none(self): assert self.field is not None @pytest.mark.parametrize("input, expected", [(1.0, 1.0), ("1.0", 1.0), (-1.0, -1.0), (0, 0)]) def test_to_internal_value(self, input, expected): assert self.field.to_internal_value(input) == expected @pytest.mark.parametrize("input", [None, [], "a", "", {}]) def test_to_internal_value_validation_error(self, input): with pytest.raises(ValidationError): self.field.to_internal_value(input) def test_field_type(self): assert self.field.field_type == BridgerType.NUMBER.value def test_representation(self): assert self.field.get_representation(None, "field_name") == { "key": "field_name", "label": None, "type": self.field.field_type, "required": True, "read_only": False, "precision": 2, "decorators": [], }
32.355932
106
0.60791
437
3,818
5.118993
0.15103
0.092535
0.080465
0.076442
0.807331
0.805096
0.768887
0.768887
0.75637
0.726866
0
0.014452
0.256941
3,818
117
107
32.632479
0.774057
0
0
0.706522
0
0
0.089576
0
0
0
0
0
0.141304
1
0.206522
false
0
0.065217
0
0.304348
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
0
0
0
0
8
6d8182230c9fbadb0b6ebd607e7e054c7a44226c
41,507
py
Python
contrail-opserver/test/test_log.py
toha10/contrail-analytics
f5c84afd13ecb10062f960d02b2c4f10a5c3f11b
[ "Apache-2.0" ]
null
null
null
contrail-opserver/test/test_log.py
toha10/contrail-analytics
f5c84afd13ecb10062f960d02b2c4f10a5c3f11b
[ "Apache-2.0" ]
2
2018-12-04T02:20:52.000Z
2018-12-22T06:16:30.000Z
contrail-opserver/test/test_log.py
toha10/contrail-analytics
f5c84afd13ecb10062f960d02b2c4f10a5c3f11b
[ "Apache-2.0" ]
1
2018-12-04T02:07:47.000Z
2018-12-04T02:07:47.000Z
import sys import json import gevent from gevent import monkey monkey.patch_all() import unittest from flexmock import flexmock from opserver.log import LogQuerier from opserver.opserver_util import OpServerUtils from multiprocessing import Process test_num = 0 query_list = [] query_result = { 1: [ {u'Category': None, u'NodeType': u'Config', u'Level': 2147483647, u'InstanceId': u'0', u'Messagetype': u'UveVirtualNetworkConfigTrace', u'Source': u'a6s45', u'SequenceNum': 6867683, u'MessageTS': 1442429588898861, u'Xmlmessage': u'<UveVirtualNetworkConfigTrace type="sandesh"><data type="struct" identifier="1"><UveVirtualNetworkConfig><name type="string" identifier="1" key="ObjectVNTable">default-domain:demo:svc-vn-left</name><connected_networks type="list" identifier="4" aggtype="union"><list type="string" size="0" /></connected_networks><partially_connected_networks type="list" identifier="5" aggtype="union"><list type="string" size="0" /></partially_connected_networks><routing_instance_list type="list" identifier="6" aggtype="union"><list type="string" size="1"><element>svc-vn-left</element></list></routing_instance_list><total_acl_rules type="i32" identifier="7">0</total_acl_rules></UveVirtualNetworkConfig></data></UveVirtualNetworkConfigTrace>', u'Type': 6, u'ModuleId': u'contrail-schema'} ], 2: [ {u'Category': None, u'NodeType': u'Analytics', u'Level': 2147483647, u'InstanceId': u'0', u'Messagetype': u'GeneratorDbStatsUve', u'Source': u'a6s45', u'SequenceNum': 56411, u'MessageTS': 1442429889555171, u'Xmlmessage': u'<GeneratorDbStatsUve type="sandesh"><data type="struct" identifier="1"><GeneratorDbStats><name type="string" identifier="1" key="ObjectGeneratorInfo">a6s10:Compute:contrail-vrouter-agent:0</name><table_info type="list" identifier="3" tags=".table_name"><list type="struct" size="12"><DbTableInfo><table_name type="string" identifier="1">MessageTable</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">12</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo><DbTableInfo><table_name type="string" identifier="1">MessageTableCategory</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">12</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo><DbTableInfo><table_name type="string" identifier="1">MessageTableKeyword</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">0</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo><DbTableInfo><table_name type="string" identifier="1">MessageTableMessageType</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">12</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo><DbTableInfo><table_name type="string" identifier="1">MessageTableModuleId</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">12</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo><DbTableInfo><table_name type="string" identifier="1">MessageTableSource</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">12</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo><DbTableInfo><table_name type="string" identifier="1">MessageTableTimestamp</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">12</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo><DbTableInfo><table_name type="string" identifier="1">ObjectTable</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">12</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo><DbTableInfo><table_name type="string" identifier="1">ObjectValueTable</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">12</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo><DbTableInfo><table_name type="string" identifier="1">StatsTableByDblTagV3</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">1</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo><DbTableInfo><table_name type="string" identifier="1">StatsTableByStrTagV3</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">102</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo><DbTableInfo><table_name type="string" identifier="1">StatsTableByU64TagV3</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">2</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo></list></table_info><errors type="list" identifier="4" tags=""><list type="struct" size="1"><DbErrors><write_tablespace_fails type="u64" identifier="1">0</write_tablespace_fails><read_tablespace_fails type="u64" identifier="2">0</read_tablespace_fails><write_table_fails type="u64" identifier="3">0</write_table_fails><read_table_fails type="u64" identifier="4">0</read_table_fails><write_column_fails type="u64" identifier="5">0</write_column_fails><write_batch_column_fails type="u64" identifier="6">0</write_batch_column_fails><read_column_fails type="u64" identifier="7">0</read_column_fails></DbErrors></list></errors><statistics_table_info type="list" identifier="5" tags=".table_name"><list type="struct" size="3"><DbTableInfo><table_name type="string" identifier="1">ComputeCpuState:cpu_info</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">5</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo><DbTableInfo><table_name type="string" identifier="1">FieldNames:fields</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">96</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo><DbTableInfo><table_name type="string" identifier="1">VrouterStatsAgent:flow_rate</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">4</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo></list></statistics_table_info></GeneratorDbStats></data></GeneratorDbStatsUve>', u'Type': 6, u'ModuleId': u'contrail-collector'} ], 3: [ {u'ObjectId': u'virtual_network:default-domain:admin:vn1-take2'} ], 4: [ {u'ObjectLog': u'<VncApiConfigLog type="sandesh"><api_log type="struct" identifier="1"><VncApiCommon><object_type type="string" identifier="2" key="ConfigObjectTable">virtual_network</object_type><identifier_name type="string" identifier="3" key="ConfigObjectTable">default-domain:admin:vn1-take2</identifier_name><url type="string" identifier="4">http://127.0.0.1:9100/virtual-networks</url><operation type="string" identifier="5">post</operation><useragent type="string" identifier="6">a6s45:/usr/bin/contrail-api</useragent><remote_ip type="string" identifier="7">127.0.0.1:9100</remote_ip><body type="string" identifier="9">{&apos;virtual-network&apos;: {&apos;fq_name&apos;: [&apos;default-domain&apos;, &apos;admin&apos;, &apos;vn1-take2&apos;], &apos;uuid&apos;: None, &apos;network_policy_refs&apos;: [], &apos;router_external&apos;: False, &apos;parent_type&apos;: &apos;project&apos;, &apos;id_perms&apos;: {u&apos;enable&apos;: True, u&apos;uuid&apos;: None, u&apos;creator&apos;: None, u&apos;created&apos;: 0, u&apos;user_visible&apos;: True, u&apos;last_modified&apos;: 0, u&apos;permissions&apos;: {u&apos;owner&apos;: u&apos;cloud-admin&apos;, u&apos;owner_access&apos;: 7, u&apos;other_access&apos;: 7, u&apos;group&apos;: u&apos;cloud-admin-group&apos;, u&apos;group_access&apos;: 7}, u&apos;description&apos;: None}, &apos;display_name&apos;: &apos;vn1-take2&apos;, &apos;is_shared&apos;: False}}</body><domain type="string" identifier="10" key="ConfigObjectTableByUser">default-domain</domain></VncApiCommon></api_log></VncApiConfigLog>', u'Messagetype': u'VncApiConfigLog', u'Source': u'a6s45', u'MessageTS': 1442434711187905, u'SystemLog': None, u'ModuleId': u'contrail-api'} ], 5: [ {u'Category': None, u'NodeType': u'Config', u'Level': 2147483647, u'InstanceId': u'0', u'Messagetype': u'UveVirtualNetworkConfigTrace', u'Source': u'nodec39', u'SequenceNum': 6867683, u'MessageTS': 1442429588898861, u'Xmlmessage': u'<UveVirtualNetworkConfigTrace type="sandesh"><data type="struct" identifier="1"><UveVirtualNetworkConfig><name type="string" identifier="1" key="ObjectVNTable">default-domain:demo:svc-vn-left</name><connected_networks type="list" identifier="4" aggtype="union"><list type="string" size="0" /></connected_networks><partially_connected_networks type="list" identifier="5" aggtype="union"><list type="string" size="0" /></partially_connected_networks><routing_instance_list type="list" identifier="6" aggtype="union"><list type="string" size="1"><element>svc-vn-left</element></list></routing_instance_list><total_acl_rules type="i32" identifier="7">0</total_acl_rules></UveVirtualNetworkConfig></data></UveVirtualNetworkConfigTrace>', u'Type': 6, u'ModuleId': u'contrail-schema'} ], 6: [ {u'Category': None, u'NodeType': u'Config', u'Level': 2147483647, u'InstanceId': u'0', u'Messagetype': u'UveVirtualNetworkConfigTrace', u'Source': u'a6s45', u'SequenceNum': 6867683, u'MessageTS': 1442429588898861, u'Xmlmessage': u'<UveVirtualNetworkConfigTrace type="sandesh"><data type="struct" identifier="1"><UveVirtualNetworkConfig><name type="string" identifier="1" key="ObjectVNTable">default-domain:demo:svc-vn-left</name><connected_networks type="list" identifier="4" aggtype="union"><list type="string" size="0" /></connected_networks><partially_connected_networks type="list" identifier="5" aggtype="union"><list type="string" size="0" /></partially_connected_networks><routing_instance_list type="list" identifier="6" aggtype="union"><list type="string" size="1"><element>svc-vn-left</element></list></routing_instance_list><total_acl_rules type="i32" identifier="7">0</total_acl_rules></UveVirtualNetworkConfig></data></UveVirtualNetworkConfigTrace>', u'Type': 6, u'ModuleId': u'contrail-schema'} ], 7: [ {"Category": "__default__", "NodeType": "Analytics", "Level": "SYS_INFO", "InstanceId": 0, "Messagetype": "AlarmgenUpdate", "Source": "a6s30", "SequenceNum": 2958, "MessageTS": "2017 Jun 21 18:51:49.826229", "Xmlmessage": {"AlarmgenUpdate": {"name": "a6s45:Analytics:contrail-alarm-gen:0", "partition": 0, "table": "ObjectBgpRouter", "i": {"list": {"UVETypeInfo": {"collector": "10.84.13.45:6381", "generator": "a6s45:Control:contrail-control-nodemgr:0", "type": "NodeStatus", "count": 1}}}}}, "Type": 7, "ModuleId": "contrail-alarm-gen"}, {"Category": "__default__", "NodeType": "Analytics", "Level": "SYS_INFO", "InstanceId": 0, "Messagetype": "AnalyticsApiStats", "Source": "a6s45", "SequenceNum": 448, "MessageTS": "2017 Jun 21 18:53:18.017911", "Xmlmessage": {"AnalyticsApiStats": {"api_stats": {"AnalyticsApiSample": {"operation_type": "GET", "remote_ip": "10.84.13.45", "object_type": "vrouter", "request_url": "http://10.84.13.45:8081/analytics/uves/vrouter/%2A?cfilt=VrouterAgent:mode", "response_time_in_usec": 228147, "response_size_objects": 1, "node": "a6s45", "response_size_bytes": 65, "resp_code": 200, "useragent": "python-requests/2.9.1"}}}}, "Type": 7, "ModuleId": "contrail-analytics-api"} ], 8: [ {u'Category': None, u'NodeType': u'Config', u'Level': 2147483647, u'InstanceId': u'0', u'Messagetype': u'UveVirtualNetworkConfigTrace', u'Source': u'a6s45', u'SequenceNum': 6867683, u'MessageTS': 1442429588898861, u'Xmlmessage': u'<UveVirtualNetworkConfigTrace type="sandesh"><data type="struct" identifier="1"><UveVirtualNetworkConfig><name type="string" identifier="1" key="ObjectVNTable">default-domain:demo:svc-vn-left</name><connected_networks type="list" identifier="4" aggtype="union"><list type="string" size="0" /></connected_networks><partially_connected_networks type="list" identifier="5" aggtype="union"><list type="string" size="0" /></partially_connected_networks><routing_instance_list type="list" identifier="6" aggtype="union"><list type="string" size="1"><element>svc-vn-left</element></list></routing_instance_list><total_acl_rules type="i32" identifier="7">0</total_acl_rules></UveVirtualNetworkConfig></data></UveVirtualNetworkConfigTrace>', u'Type': 6, u'ModuleId': u'contrail-control'}, {u'Category': None, u'NodeType': u'Analytics', u'Level': 2147483647, u'InstanceId': u'0', u'Messagetype': u'GeneratorDbStatsUve', u'Source': u'a6s45', u'SequenceNum': 56411, u'MessageTS': 1442429889555171, u'Xmlmessage': u'<GeneratorDbStatsUve type="sandesh"><data type="struct" identifier="1"><GeneratorDbStats><name type="string" identifier="1" key="ObjectGeneratorInfo">a6s10:Compute:contrail-vrouter-agent:0</name><table_info type="list" identifier="3" tags=".table_name"><list type="struct" size="12"><DbTableInfo><table_name type="string" identifier="1">MessageTable</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">12</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo><DbTableInfo><table_name type="string" identifier="1">MessageTableCategory</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">12</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo><DbTableInfo><table_name type="string" identifier="1">MessageTableKeyword</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">0</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo><DbTableInfo><table_name type="string" identifier="1">MessageTableMessageType</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">12</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo><DbTableInfo><table_name type="string" identifier="1">MessageTableModuleId</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">12</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo><DbTableInfo><table_name type="string" identifier="1">MessageTableSource</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">12</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo><DbTableInfo><table_name type="string" identifier="1">MessageTableTimestamp</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">12</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo><DbTableInfo><table_name type="string" identifier="1">ObjectTable</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">12</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo><DbTableInfo><table_name type="string" identifier="1">ObjectValueTable</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">12</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo><DbTableInfo><table_name type="string" identifier="1">StatsTableByDblTagV3</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">1</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo><DbTableInfo><table_name type="string" identifier="1">StatsTableByStrTagV3</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">102</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo><DbTableInfo><table_name type="string" identifier="1">StatsTableByU64TagV3</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">2</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo></list></table_info><errors type="list" identifier="4" tags=""><list type="struct" size="1"><DbErrors><write_tablespace_fails type="u64" identifier="1">0</write_tablespace_fails><read_tablespace_fails type="u64" identifier="2">0</read_tablespace_fails><write_table_fails type="u64" identifier="3">0</write_table_fails><read_table_fails type="u64" identifier="4">0</read_table_fails><write_column_fails type="u64" identifier="5">0</write_column_fails><write_batch_column_fails type="u64" identifier="6">0</write_batch_column_fails><read_column_fails type="u64" identifier="7">0</read_column_fails></DbErrors></list></errors><statistics_table_info type="list" identifier="5" tags=".table_name"><list type="struct" size="3"><DbTableInfo><table_name type="string" identifier="1">ComputeCpuState:cpu_info</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">5</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo><DbTableInfo><table_name type="string" identifier="1">FieldNames:fields</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">96</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo><DbTableInfo><table_name type="string" identifier="1">VrouterStatsAgent:flow_rate</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">4</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo></list></statistics_table_info></GeneratorDbStats></data></GeneratorDbStatsUve>', u'Type': 6, u'ModuleId': u'contrail-collector'} ], 9: [ ], 10: [ {u'Category': None, u'NodeType': u'Analytics', u'Level': 2147483647, u'InstanceId': u'0', u'Messagetype': u'GeneratorDbStatsUve', u'Source': u'a6s45', u'SequenceNum': 56411, u'MessageTS': 1442429889555171, u'Xmlmessage': u'<GeneratorDbStatsUve type="sandesh"><data type="struct" identifier="1"><GeneratorDbStats><name type="string" identifier="1" key="ObjectGeneratorInfo">a6s10:Compute:contrail-vrouter-agent:0</name><table_info type="list" identifier="3" tags=".table_name"><list type="struct" size="12"><DbTableInfo><table_name type="string" identifier="1">MessageTable</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">12</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo><DbTableInfo><table_name type="string" identifier="1">MessageTableCategory</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">12</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo><DbTableInfo><table_name type="string" identifier="1">MessageTableKeyword</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">0</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo><DbTableInfo><table_name type="string" identifier="1">MessageTableMessageType</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">12</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo><DbTableInfo><table_name type="string" identifier="1">MessageTableModuleId</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">12</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo><DbTableInfo><table_name type="string" identifier="1">MessageTableSource</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">12</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo><DbTableInfo><table_name type="string" identifier="1">MessageTableTimestamp</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">12</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo><DbTableInfo><table_name type="string" identifier="1">ObjectTable</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">12</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo><DbTableInfo><table_name type="string" identifier="1">ObjectValueTable</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">12</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo><DbTableInfo><table_name type="string" identifier="1">StatsTableByDblTagV3</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">1</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo><DbTableInfo><table_name type="string" identifier="1">StatsTableByStrTagV3</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">102</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo><DbTableInfo><table_name type="string" identifier="1">StatsTableByU64TagV3</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">2</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo></list></table_info><errors type="list" identifier="4" tags=""><list type="struct" size="1"><DbErrors><write_tablespace_fails type="u64" identifier="1">0</write_tablespace_fails><read_tablespace_fails type="u64" identifier="2">0</read_tablespace_fails><write_table_fails type="u64" identifier="3">0</write_table_fails><read_table_fails type="u64" identifier="4">0</read_table_fails><write_column_fails type="u64" identifier="5">0</write_column_fails><write_batch_column_fails type="u64" identifier="6">0</write_batch_column_fails><read_column_fails type="u64" identifier="7">0</read_column_fails></DbErrors></list></errors><statistics_table_info type="list" identifier="5" tags=".table_name"><list type="struct" size="3"><DbTableInfo><table_name type="string" identifier="1">ComputeCpuState:cpu_info</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">5</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo><DbTableInfo><table_name type="string" identifier="1">FieldNames:fields</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">96</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo><DbTableInfo><table_name type="string" identifier="1">VrouterStatsAgent:flow_rate</table_name><reads type="u64" identifier="2">0</reads><read_fails type="u64" identifier="3">0</read_fails><writes type="u64" identifier="4">4</writes><write_fails type="u64" identifier="5">0</write_fails></DbTableInfo></list></statistics_table_info></GeneratorDbStats></data></GeneratorDbStatsUve>', u'Type': 6, u'ModuleId': u'contrail-collector'}, {u'Category': None, u'NodeType': u'Config', u'Level': 2147483647, u'InstanceId': u'0', u'Messagetype': u'UveVirtualNetworkConfigTrace', u'Source': u'a6s45', u'SequenceNum': 6867683, u'MessageTS': 1442429588898861, u'Xmlmessage': u'<UveVirtualNetworkConfigTrace type="sandesh"><data type="struct" identifier="1"><UveVirtualNetworkConfig><name type="string" identifier="1" key="ObjectVNTable">default-domain:demo:svc-vn-left</name><connected_networks type="list" identifier="4" aggtype="union"><list type="string" size="0" /></connected_networks><partially_connected_networks type="list" identifier="5" aggtype="union"><list type="string" size="0" /></partially_connected_networks><routing_instance_list type="list" identifier="6" aggtype="union"><list type="string" size="1"><element>svc-vn-left</element></list></routing_instance_list><total_acl_rules type="i32" identifier="7">0</total_acl_rules></UveVirtualNetworkConfig></data></UveVirtualNetworkConfigTrace>', u'Type': 6, u'ModuleId': u'contrail-control'} ] } class LogQuerierTest(unittest.TestCase): @staticmethod def custom_post_url_http(url, params): global query_list query_list.append(json.loads(params)) return '{"href": "/analytics/query/a415fe1e-51cb-11e5-aab0-00000a540d2d"}' @staticmethod def custom_get_query_result(opserver_ip, opserver_port, qid): try: return query_result[test_num] except KeyError: return [] def custom_display(self, result): if result == [] or result is None: return try: self.assertTrue(result == query_result[test_num]) except KeyError: self.assertTrue(False) def custom_process_start(self): self._querier.display(self._querier.read_result(query_result[test_num])) def custom_process_end(self): return def setUp(self): self.maxDiff = None self._querier = LogQuerier() flexmock(OpServerUtils).should_receive('post_url_http').replace_with(lambda x, y, w, z: self.custom_post_url_http(x, y)) self.query_expectations = flexmock(OpServerUtils).should_receive('get_query_result').replace_with(lambda x, y, z, a, b: self.custom_get_query_result(x, y, z)) self.display_expectations = flexmock(LogQuerier).should_receive('display').replace_with(lambda x: self.custom_display(x)) self.process_start_expectations = flexmock(Process).should_receive('start').replace_with(lambda:self.custom_process_start()) self.process_end_expectations = flexmock(Process).should_receive('join').replace_with(lambda:self.custom_process_end()) #@unittest.skip("skip test_1_no_arg") def test_1_no_arg(self): global test_num global query_list query_list = [] test_num = 1 argv = sys.argv sys.argv = "contrail-logs".split() self._querier.run() sys.argv = argv expected_result_str = '{"sort": 1, "sort_fields": ["MessageTS"], "select_fields": ["MessageTS", "Source", "ModuleId", "Category", "Messagetype", "SequenceNum", "Xmlmessage", "Type", "Level", "NodeType", "InstanceId"], "table": "MessageTable"}' expected_result_dict = json.loads(expected_result_str) self.assertEqual(int(query_list[0]['end_time']) - int(query_list[0]['start_time']),10*60*pow(10,6)) del query_list[0]['start_time'] del query_list[0]['end_time'] self.assertEqual(expected_result_dict, query_list[0]) self.assertEqual(self.query_expectations.times_called,1) self.assertEqual(self.display_expectations.times_called,2) self.assertEqual(self.process_start_expectations.times_called,1) # a few args #@unittest.skip("skip test_2_message_query") def test_2_message_query(self): global test_num global query_list query_list = [] test_num = 2 argv = sys.argv sys.argv = "contrail-logs --source a6s45 --node-type Analytics --module contrail-collector --instance-id 0 --message-type GeneratorDbStatsUve".split() self._querier.run() sys.argv = argv expected_result_str = '{"sort": 1, "sort_fields": ["MessageTS"], "select_fields": ["MessageTS", "Source", "ModuleId", "Category", "Messagetype", "SequenceNum", "Xmlmessage", "Type", "Level", "NodeType", "InstanceId"], "table": "MessageTable", "where": [[{"suffix": null, "value2": null, "name": "Source", "value": "a6s45", "op": 1}, {"suffix": null, "value2": null, "name": "ModuleId", "value": "contrail-collector", "op": 1}, {"suffix": null, "value2": null, "name": "Messagetype", "value": "GeneratorDbStatsUve", "op": 1}]], "filter": [[{"suffix": null, "value2": null, "name": "NodeType", "value": "Analytics", "op": 1}, {"suffix": null, "value2": null, "name": "InstanceId", "value": 0, "op": 1}]]}' expected_result_dict = json.loads(expected_result_str) self.assertEqual(int(query_list[0]['end_time']) - int(query_list[0]['start_time']),10*60*pow(10,6)) del query_list[0]['start_time'] del query_list[0]['end_time'] self.assertEqual(expected_result_dict, query_list[0]) self.assertEqual(self.query_expectations.times_called,1) self.assertEqual(self.display_expectations.times_called,2) self.assertEqual(self.process_start_expectations.times_called,1) # a object values query #@unittest.skip("skip test_3_object_value") def test_3_object_value(self): global test_num global query_list query_list = [] test_num = 3 argv = sys.argv sys.argv = "contrail-logs --object-type config --object-values".split() self._querier.run() sys.argv = argv expected_result_str = '{"table": "ConfigObjectTable", "select_fields": ["ObjectId"]}' expected_result_dict = json.loads(expected_result_str) self.assertEqual(int(query_list[0]['end_time']) - int(query_list[0]['start_time']),10*60*pow(10,6)) del query_list[0]['start_time'] del query_list[0]['end_time'] self.assertEqual(expected_result_dict, query_list[0]) self.assertEqual(self.query_expectations.times_called,1) self.assertEqual(self.display_expectations.times_called,2) self.assertEqual(self.process_start_expectations.times_called,1) # a object id query #@unittest.skip("skip test_4_object_id") def test_4_object_id(self): global test_num global query_list query_list = [] test_num = 4 argv = sys.argv sys.argv = "contrail-logs --object-type config --object-id virtual_network:default-domain:admin:vn1-take2".split() self._querier.run() sys.argv = argv expected_result_str = '{"sort": 1, "sort_fields": ["MessageTS"], "select_fields": ["MessageTS", "Source", "ModuleId", "Messagetype", "ObjectLog", "SystemLog"], "table": "ConfigObjectTable", "where": [[{"suffix": null, "value2": null, "name": "ObjectId", "value": "virtual_network:default-domain:admin:vn1-take2", "op": 1}]]}' expected_result_dict = json.loads(expected_result_str) self.assertEqual(int(query_list[0]['end_time']) - int(query_list[0]['start_time']),10*60*pow(10,6)) del query_list[0]['start_time'] del query_list[0]['end_time'] self.assertEqual(expected_result_dict, query_list[0]) self.assertEqual(self.query_expectations.times_called,1) self.assertEqual(self.display_expectations.times_called,2) self.assertEqual(self.process_start_expectations.times_called,1) # prefix query #@unittest.skip("skip test_5_prefix_query") def test_5_prefix_query(self): global test_num global query_list query_list = [] test_num = 5 argv = sys.argv sys.argv = "contrail-logs --source node* --message-type UveVirtualNetwork*".split() self._querier.run() sys.argv = argv expected_result_str = '{"sort": 1, "sort_fields": ["MessageTS"], "select_fields": ["MessageTS", "Source", "ModuleId", "Category", "Messagetype", "SequenceNum", "Xmlmessage", "Type", "Level", "NodeType", "InstanceId"], "table": "MessageTable", "where": [[{"suffix": null, "value2": null, "name": "Source", "value": "node", "op": 7}, {"suffix": null, "value2": null, "name": "Messagetype", "value": "UveVirtualNetwork", "op": 7}]]}' expected_result_dict = json.loads(expected_result_str) self.assertEqual(int(query_list[0]['end_time']) - int(query_list[0]['start_time']),10*60*pow(10,6)) del query_list[0]['start_time'] del query_list[0]['end_time'] self.assertEqual(expected_result_dict, query_list[0]) self.assertEqual(self.query_expectations.times_called,1) self.assertEqual(self.display_expectations.times_called,2) self.assertEqual(self.process_start_expectations.times_called,1) # end test_5_prefix_query #@unittest.skip("skip test_6_long_query") def test_6_long_query(self): global test_num global query_list query_list = [] test_num = 6 argv = sys.argv sys.argv = "contrail-logs --last 25m".split() self._querier.run() sys.argv = argv expected_result_str = '{"sort": 1, "sort_fields": ["MessageTS"], "select_fields": ["MessageTS", "Source", "ModuleId", "Category", "Messagetype", "SequenceNum", "Xmlmessage", "Type", "Level", "NodeType", "InstanceId"], "table": "MessageTable"}' expected_result_dict = json.loads(expected_result_str) self.assertEqual(self.query_expectations.times_called,3) self.assertEqual(self.display_expectations.times_called,4) self.assertEqual(self.process_start_expectations.times_called,3) for i in range(len(query_list) - 1): self.assertEqual(int(query_list[i]['end_time']) - int(query_list[i]['start_time']),10*60*pow(10,6)) del query_list[i]['start_time'] del query_list[i]['end_time'] self.assertEqual(expected_result_dict, query_list[i]) self.assertEqual(int(query_list[2]['end_time']) - int(query_list[2]['start_time']),5*60*pow(10,6) - 2) del query_list[2]['start_time'] del query_list[2]['end_time'] self.assertEqual(expected_result_dict, query_list[2]) #@unittest.skip("skip test_8_multiple_sources_query") def test_7_multiple_sources_query(self): global test_num global query_list query_list = [] test_num = 7 argv = sys.argv sys.argv = "contrail-logs --source a6s45 a6s30 --category __default__".split() self._querier.run() sys.argv = argv expected_result_str = '{"sort": 1, "sort_fields": ["MessageTS"], "select_fields": ["MessageTS", "Source", "ModuleId", "Category", "Messagetype", "SequenceNum", "Xmlmessage", "Type", "Level", "NodeType", "InstanceId"], "table": "MessageTable", "where": [[{"suffix": null, "value2": null, "name": "Source", "value": "a6s45", "op": 1}], [{"suffix": null, "value2": null, "name": "Source", "value": "a6s30", "op": 1}]], "filter": [[{"suffix": null, "value2": null, "name": "Category", "value": "__default__", "op": 1}]]}' expected_result_dict = json.loads(expected_result_str) self.assertEqual(int(query_list[0]['end_time']) - int(query_list[0]['start_time']),10*60*pow(10,6)) del query_list[0]['start_time'] del query_list[0]['end_time'] self.assertEqual(expected_result_dict, query_list[0]) self.assertEqual(self.query_expectations.times_called,1) self.assertEqual(self.display_expectations.times_called,2) self.assertEqual(self.process_start_expectations.times_called,1) #@unittest.skip("skip test_8_multiple_modules_query") def test_8_multiple_modules_query(self): global test_num global query_list query_list = [] test_num = 8 argv = sys.argv sys.argv = "contrail-logs --module contrail-control contrail-collector --source a6s45".split() self._querier.run() sys.argv = argv expected_result_str = '{"sort": 1, "sort_fields": ["MessageTS"], "select_fields": ["MessageTS", "Source", "ModuleId", "Category", "Messagetype", "SequenceNum", "Xmlmessage", "Type", "Level", "NodeType", "InstanceId"], "table": "MessageTable", "where": [[{"suffix": null, "value2": null, "name": "Source", "value": "a6s45", "op": 1}, {"suffix": null, "value2": null, "name": "ModuleId", "value": "contrail-control", "op": 1}], [ {"suffix": null, "value2": null, "name": "Source", "value": "a6s45", "op": 1}, {"suffix": null, "value2": null, "name": "ModuleId", "value": "contrail-collector", "op": 1}]]}' expected_result_dict = json.loads(expected_result_str) self.assertEqual(int(query_list[0]['end_time']) - int(query_list[0]['start_time']),10*60*pow(10,6)) del query_list[0]['start_time'] del query_list[0]['end_time'] self.assertEqual(expected_result_dict, query_list[0]) self.assertEqual(self.query_expectations.times_called,1) self.assertEqual(self.display_expectations.times_called,2) self.assertEqual(self.process_start_expectations.times_called,1) #@unittest.skip("skip test_9_multiple_message_types_query") def test_9_multiple_message_types_query(self): global test_num global query_list query_list = [] test_num = 9 argv = sys.argv sys.argv = "contrail-logs --message-type CollectorDbStatsTrace Alarm* ".split() self._querier.run() sys.argv = argv expected_result_str = '{"sort": 1, "sort_fields": ["MessageTS"], "select_fields": ["MessageTS", "Source", "ModuleId", "Category", "Messagetype", "SequenceNum", "Xmlmessage", "Type", "Level", "NodeType", "InstanceId"], "table": "MessageTable", "where": [[{"suffix": null, "value2": null, "name": "Messagetype", "value": "CollectorDbStatsTrace", "op": 1}], [{"suffix": null, "value2": null, "name": "Messagetype", "value": "Alarm", "op": 7}]]}' expected_result_dict = json.loads(expected_result_str) self.assertEqual(int(query_list[0]['end_time']) - int(query_list[0]['start_time']),10*60*pow(10,6)) del query_list[0]['start_time'] del query_list[0]['end_time'] self.assertEqual(expected_result_dict, query_list[0]) self.assertEqual(self.query_expectations.times_called,1) self.assertEqual(self.display_expectations.times_called,2) self.assertEqual(self.process_start_expectations.times_called,1) #@unittest.skip("skip test_10_multiple_or_query") def test_10_multiple_or_query(self): global test_num global query_list query_list = [] test_num = 10 argv = sys.argv sys.argv = "contrail-logs --source a6s45 a6s35 --module contrail-control contrail-collector contrail-analytics-api".split() self._querier.run() sys.argv = argv expected_result_str = '{"sort": 1, "sort_fields": ["MessageTS"], "select_fields": ["MessageTS", "Source", "ModuleId", "Category", "Messagetype", "SequenceNum", "Xmlmessage", "Type", "Level", "NodeType", "InstanceId"], "table": "MessageTable", "where": [[{"suffix": null, "value2": null, "name": "Source", "value": "a6s45", "op": 1}, {"suffix": null, "value2": null, "name": "ModuleId", "value": "contrail-control", "op": 1}], [{"suffix": null, "value2": null, "name": "Source", "value": "a6s45", "op": 1}, {"suffix": null, "value2": null, "name": "ModuleId", "value": "contrail-collector", "op": 1}], [{"suffix": null, "value2": null, "name": "Source", "value": "a6s45", "op": 1}, {"suffix": null, "value2": null, "name": "ModuleId", "value": "contrail-analytics-api", "op": 1}], [{"suffix": null, "value2": null, "name": "Source", "value": "a6s35", "op": 1}, {"suffix": null, "value2": null, "name": "ModuleId", "value": "contrail-control", "op": 1}], [{"suffix": null, "value2": null, "name": "Source", "value": "a6s35", "op": 1}, {"suffix": null, "value2": null, "name": "ModuleId", "value": "contrail-collector", "op": 1}], [{"suffix": null, "value2": null, "name": "Source", "value": "a6s35", "op": 1}, {"suffix": null, "value2": null, "name": "ModuleId", "value": "contrail-analytics-api", "op": 1}]]}' expected_result_dict = json.loads(expected_result_str) self.assertEqual(int(query_list[0]['end_time']) - int(query_list[0]['start_time']),10*60*pow(10,6)) del query_list[0]['start_time'] del query_list[0]['end_time'] self.assertEqual(expected_result_dict, query_list[0]) self.assertEqual(self.query_expectations.times_called,1) self.assertEqual(self.display_expectations.times_called,2) self.assertEqual(self.process_start_expectations.times_called,1) if __name__ == '__main__': unittest.main()
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10
6dc967ea4e08c63d8b0454b56c430c16a0b1ed3b
3,639
py
Python
test/test_sqa14.py
OceansAus/cosima-cookbook
ac2d674bf7639558e125d390457fcf6692b92b7a
[ "Apache-2.0" ]
30
2017-03-30T14:22:43.000Z
2019-04-08T10:27:14.000Z
test/test_sqa14.py
COSIMA/cosima-cookbook
ac2d674bf7639558e125d390457fcf6692b92b7a
[ "Apache-2.0" ]
170
2019-04-18T04:02:13.000Z
2022-03-24T04:12:42.000Z
test/test_sqa14.py
COSIMA/cosima-cookbook
ac2d674bf7639558e125d390457fcf6692b92b7a
[ "Apache-2.0" ]
16
2019-05-31T01:42:41.000Z
2021-11-19T02:41:12.000Z
import pytest from cosima_cookbook.database import * def test_empty_file(session_db): session, db = session_db exp = NCExperiment(experiment="a", root_dir="b") file = NCFile() file.experiment = exp session.add(exp) session.commit() assert session.query(NCFile).count() == 1 assert session.query(NCExperiment).count() == 1 def test_file_one_var(session_db): session, db = session_db exp = NCExperiment(experiment="a", root_dir="b") file = NCFile() cfvar = CFVariable(name="c") var = NCVar() file.experiment = exp var.ncfile = file var.variable = cfvar session.add(exp) session.commit() assert session.query(NCFile).count() == 1 assert session.query(NCVar).count() == 1 def test_file_attr(session_db): session, db = session_db exp = NCExperiment(experiment="a", root_dir="b") file = NCFile() cfvar = CFVariable(name="c") var = NCVar() file.experiment = exp file.attrs["x"] = "y" session.add(exp) session.commit() assert session.query(NCFile).count() == 1 assert session.query(NCAttribute).count() == 1 assert session.query(NCAttributeString).count() == 2 # Add another attribute with duplicate string file.attrs["z"] = "y" session.add(exp) session.commit() assert session.query(NCFile).count() == 1 assert session.query(NCAttribute).count() == 2 assert session.query(NCAttributeString).count() == 3 def test_var_attr(session_db): session, db = session_db exp = NCExperiment(experiment="a", root_dir="b") file = NCFile() cfvar = CFVariable(name="c") var = NCVar() file.experiment = exp var.ncfile = file var.variable = cfvar var.attrs["x"] = "y" session.add(exp) session.commit() assert session.query(NCFile).count() == 1 assert session.query(NCAttribute).count() == 1 assert session.query(NCAttributeString).count() == 2 # Add another attribute with duplicate string var.attrs["z"] = "y" session.add(exp) session.commit() assert session.query(NCAttribute).count() == 2 assert session.query(NCAttributeString).count() == 3 # Add an attribute to the file file.attrs["y"] = "x" session.add(exp) session.commit() assert session.query(NCAttribute).count() == 3 assert session.query(NCAttributeString).count() == 3 def test_index_file(session_db): session, db = session_db exp = NCExperiment(experiment="a", root_dir="test/data/querying") file = index_file("output000/ocean.nc", exp, session) session.add(exp) session.commit() assert session.query(NCFile).count() == 1 assert session.query(CFVariable).count() == 38 assert session.query(NCVar).count() == 38 assert session.query(NCAttribute).count() == 243 - 18 var = session.query(NCVar).filter(NCVar.varname == "temp").one() assert var.attrs["long_name"] == "Potential temperature" def test_file_delete(session_db): session, db = session_db exp = NCExperiment(experiment="a", root_dir="test/data/querying") file = index_file("output000/ocean.nc", exp, session) session.add(exp) session.commit() assert session.query(NCFile).count() == 1 session.delete(file) session.commit() assert session.query(NCExperiment).count() == 1 assert session.query(NCFile).count() == 0 assert session.query(CFVariable).count() == 38 # Not cascaded assert session.query(NCVar).count() == 0 assert session.query(NCAttribute).count() == 0 assert session.query(NCAttributeString).count() == 114 # Not cascaded
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false
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8
6df06734f61b756d4cfd5ace0282ad75862f51f3
96,315
py
Python
metadata_sync/metadata/_xml_metadata.py
alex-ip/metadata_sync
a6b9de7e1fe1d3bae8669ec41cd09407e3e0afbc
[ "Apache-2.0" ]
null
null
null
metadata_sync/metadata/_xml_metadata.py
alex-ip/metadata_sync
a6b9de7e1fe1d3bae8669ec41cd09407e3e0afbc
[ "Apache-2.0" ]
null
null
null
metadata_sync/metadata/_xml_metadata.py
alex-ip/metadata_sync
a6b9de7e1fe1d3bae8669ec41cd09407e3e0afbc
[ "Apache-2.0" ]
null
null
null
#!/usr/bin/env python """XML Metadata module Author: Alex Ip (alex.ip@ga.gov.au) """ import xml.dom.minidom import logging import os import re import unicodedata from _metadata import Metadata logger = logging.getLogger(__name__) logger.setLevel(logging.INFO) # Initial logging level for this module class XMLMetadata(Metadata): """Subclass of Metadata to manage XML data """ # Class variable holding metadata type string _metadata_type_id = 'XML' _filename_pattern = '.*\.xml' # Default RegEx for finding metadata file. def unicode_to_ascii(self, instring): """Convert unicode to char string if required and strip any leading/trailing whitespaces ToDO: Investigate whether we can just change the encoding of the DOM tree """ result = instring if isinstance(result, unicode): result = unicodedata.normalize('NFKD', result).encode( 'ascii', 'ignore').strip(""" "'\n\t""") return result def __init__(self, source=None, uses_attributes=False): """Instantiates XMLMetadata object. Overrides Metadata method """ self._uses_attributes = uses_attributes # Boolean flag indicating whether values are stored as tag attributes # Dict containing processing instruction name and value self.processing_instruction = {} # Dict containing any attributes when not self._uses_attributes self.document_attributes = {} Metadata.__init__(self, source) # Call inherited constructor def _populate_dict_from_node(self, node, tree_dict, level=0): """Private recursive function to populate a nested dict from DOM tree or element node Exposed to allow unit testing using a DOM tree constructed from a string Arguments: node: xml.dom.Node object to traverse tree_dict: nested dict structure to hold result """ def set_node_value(node_dict, key, value): '''Sets node_dict[key] to value when node_dict[key] doesn't already exist, otherwise appends comma-separated value ''' # TODO: Do something better than comma-separated text - one-way # translation only: will break if text contains commas existing_value = node_dict.get(key) if existing_value: # Existing leaf node found - repeated xpath if value: # Append new value to comma-separated list node_dict[key] = existing_value + ', ' + value else: # No existing leaf node - new xpath node_dict[key] = value # Traverse all non-text nodes for child_node in [ x for x in node.childNodes if x.nodeType == xml.dom.minidom.Node.ELEMENT_NODE]: nodeName = child_node.nodeName if nodeName: nodeName = self.unicode_to_ascii(nodeName) logger.debug('%sDOM Node name = %s, Node type = %s, Child nodes = %s, Attributes = %s', ' ' * level, nodeName, child_node.nodeType, child_node.childNodes, child_node.attributes) subtree_dict = tree_dict.get(nodeName) or {} if child_node.childNodes: # Recursive call to check for non-text child nodes self._populate_dict_from_node( child_node, subtree_dict, level + 1) logger.debug('%s subtree_dict = %s', ' ' * level, subtree_dict) if child_node.attributes: logger.debug('%s Child node attribute count = %s', ' ' * level, len(child_node.attributes)) # Not a leaf node - sub-nodes found if subtree_dict and not tree_dict.get(nodeName): tree_dict[nodeName] = subtree_dict elif child_node.attributes: # Leaf node - values held in attributes self._uses_attributes = True # Remember that attributes are being used for this file subtree_dict = tree_dict.get(nodeName) or {} tree_dict[nodeName] = subtree_dict level += 1 for attr_index in range(len(child_node.attributes)): attribute = child_node.attributes.item(attr_index) logger.debug('%s Attribute: %s = %s', ' ' * level, attribute.name, attribute.value) set_node_value(subtree_dict, self.unicode_to_ascii( attribute.name), self.unicode_to_ascii(attribute.value)) # Leaf node - value held in child text node if child_node.childNodes and child_node.childNodes[ 0].nodeType == xml.dom.minidom.Node.TEXT_NODE: node_value = self.unicode_to_ascii( child_node.childNodes[0].nodeValue) # TODO: Do something better than using 'TEXT' as key set_node_value(subtree_dict, 'TEXT', node_value) level -= 1 # Leaf node - value held in child text node elif child_node.childNodes and child_node.childNodes[0].nodeType == xml.dom.minidom.Node.TEXT_NODE: # Take value of first text child node node_value = self.unicode_to_ascii( child_node.childNodes[0].nodeValue) logger.debug( '%s Node value = %s from text child node', ' ' * level, node_value) set_node_value(tree_dict, nodeName, node_value) elif not child_node.childNodes: # Empty leaf node tree_dict[nodeName] = '' def _populate_node_from_dict( self, tree_dict, node, uses_attributes, owner_document=None, level=0): """Private recursive function to populate a nested dict from DOM tree or element node Exposed to allow unit testing using a DOM tree constructed from a string Arguments: tree_dict: nested dict structure to traverse node: xml.dom.Node object to hold result uses_attributes: Boolean flag indicating whether to write values to tag attributes """ # TODO: Handle delimited lists as repeated xpaths owner_document = owner_document or node for node_name in sorted(tree_dict.keys()): child_item = tree_dict[node_name] assert child_item is not None, node_name + \ ' node is empty - must hold either a string or subtree dict' if isinstance(child_item, dict): # Subtree - descend to next level logger.debug('%sElement Node %s', ' ' * level, node_name) child_node = xml.dom.minidom.Element(node_name) child_node.ownerDocument = owner_document node.appendChild(child_node) self._populate_node_from_dict( child_item, child_node, uses_attributes, owner_document, level + 1) else: # Leaf node - store node value if child_item is None: child_item = '' assert isinstance(child_item, str), node_name + \ ' node is not a string' if uses_attributes: # Store value in attribute logger.debug('%sAttribute for %s = %s', ' ' * level, node_name, repr(child_item)) node.setAttribute(node_name, child_item) else: # Store value in child text node logger.debug('%sText Child Node for %s = %s', ' ' * level, node_name, repr(child_item)) child_node = xml.dom.minidom.Element(node_name) child_node.ownerDocument = owner_document node.appendChild(child_node) # Only add text node if value is non-empty if child_item: text_node = xml.dom.minidom.Text() text_node.ownerDocument = owner_document text_node.nodeValue = child_item child_node.appendChild(text_node) def read_file(self, filename=None): """Function to parse an XML metadata file and store the results in self._metadata_dict Argument: filename: XML Metadata file to be parsed and stored Returns: nested dict containing metadata """ logger.debug('read_file(%s) called', filename) filename = filename or self._filename assert filename, 'Filename must be specified' logger.debug('Parsing XML file %s', filename) # Open XML document using minidom parser dom_tree = xml.dom.minidom.parse(filename) # Remember any processing instruction node for node in dom_tree.childNodes: if node.nodeType == xml.dom.minidom.Node.PROCESSING_INSTRUCTION_NODE: processing_instruction_node = node logger.debug('Processing Instruction Node found: Name = %s, Value = %s', processing_instruction_node.nodeName, processing_instruction_node.nodeValue) self.processing_instruction[ 'name'] = processing_instruction_node.nodeName self.processing_instruction[ 'value'] = processing_instruction_node.nodeValue elif node.nodeType == xml.dom.minidom.Node.ELEMENT_NODE: # Root node has attributes for attr_index in range(len(node.attributes)): attribute = node.attributes.item(attr_index) logger.debug('Document Attribute: %s = %s', attribute.name, attribute.value) self.document_attributes[self.unicode_to_ascii( attribute.name)] = self.unicode_to_ascii(attribute.value) # Create nested dict from DOM tree self._populate_dict_from_node(dom_tree, self._metadata_dict) self._filename = filename return self._metadata_dict def write_file(self, filename=None, uses_attributes=None, save_backup=False): """Function write the metadata contained in self._metadata_dict to an XML file Argument: filename: Metadata file to be written uses_attributes: Boolean flag indicating whether to write values to tag attributes """ logger.debug('write_file(%s) called', filename) filename = filename or self._filename assert filename, 'Filename must be specified' # Allow values to be stored as attributes if uses_attributes is None: uses_attributes = self._uses_attributes if save_backup and os.path.exists(filename + '.bck'): os.remove(filename + '.bck') if os.path.exists(filename): if save_backup: os.rename(filename, filename + '.bck') else: os.remove(filename) # Open XML document try: outfile = open(filename, 'w') assert outfile is not None, 'Unable to open XML file ' + filename + ' for writing' logger.debug('Writing XML file %s', filename) dom_tree = xml.dom.minidom.Document() # Write any processing instruction node if self.processing_instruction: processing_instruction_node = xml.dom.minidom.ProcessingInstruction( self.processing_instruction['name'], self.processing_instruction['value']) processing_instruction_node.ownerDocument = dom_tree dom_tree.appendChild(processing_instruction_node) # Open XML document using minidom parser self._populate_node_from_dict( self._metadata_dict, dom_tree, uses_attributes) # Set root node attributes if required if self.document_attributes: root_node = [node for node in dom_tree.childNodes if node.nodeType == xml.dom.minidom.Node.ELEMENT_NODE][0] for attribute_name in self.document_attributes.keys(): root_node.setAttribute( attribute_name, self.document_attributes[attribute_name]) # outfile.write(dom_tree.toxml(encoding='utf-8')) # outfile.write(dom_tree.toprettyxml(encoding='utf-8')) # outfile.write(self.toprettyxml_fixed(node, encoding='utf-8')) # PyXML # required #================================================================== # # Strip all tabs and EOLs from around values # outfile.write(re.sub('(\<\w*[^/]\>)\n(\t+\n)*(\t*)([^<>\n]*)\n\t*\n*(\t+)(\</\w+\>)', # '\\1\\4\\6', # dom_tree.toprettyxml(encoding='utf-8') # ) # ) #================================================================== # Strip all tabs and EOLs from around values, remove all empty # lines outfile.write(re.sub('\>(\s+)(\n\t*)\<', '>\\2<', re.sub('(\<\w*[^/]\>)\n(\t*\n)*(\t*)([^<>\n]*)\n\t*\n*(\t+)(\</\w+\>)', '\\1\\4\\6', dom_tree.toprettyxml(encoding='utf-8') ) ) ) finally: outfile.close() def read_string(self, xml_string): self._populate_dict_from_node(xml.dom.minidom.parseString( xml_string.translate(None, '\n')), self._metadata_dict) @property def uses_attributes(self): """Property returning a Boolean value indicating that values are stored in tag attributes rather than as text """ return self._uses_attributes def main(): # Test data from file # LS7_ETM_OTH_P51_GALPGS01_092_085_20100315/scene01/LE7_20100315_092_085_L1T.xml TESTXML = """<mdb:MD_Metadata xmlns:mdb="http://standards.iso.org/iso/19115/-3/mdb/1.0" xmlns:cit="http://standards.iso.org/iso/19115/-3/cit/1.0" xmlns:gco="http://standards.iso.org/iso/19115/-3/gco/1.0" xmlns:gcx="http://standards.iso.org/iso/19115/-3/gcx/1.0" xmlns:gex="http://standards.iso.org/iso/19115/-3/gex/1.0" xmlns:lan="http://standards.iso.org/iso/19115/-3/lan/1.0" xmlns:mcc="http://standards.iso.org/iso/19115/-3/mcc/1.0" xmlns:mco="http://standards.iso.org/iso/19115/-3/mco/1.0" xmlns:mmi="http://standards.iso.org/iso/19115/-3/mmi/1.0" xmlns:mrd="http://standards.iso.org/iso/19115/-3/mrd/1.0" xmlns:mri="http://standards.iso.org/iso/19115/-3/mri/1.0" xmlns:mrl="http://standards.iso.org/iso/19115/-3/mrl/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:geonet="http://www.fao.org/geonetwork" xsi:schemaLocation="http://standards.iso.org/iso/19115/-3/cat/1.0 http://standards.iso.org/iso/19115/-3/cat/1.0/cat.xsd http://standards.iso.org/iso/19115/-3/cit/1.0 http://standards.iso.org/iso/19115/-3/cit/1.0/cit.xsd http://standards.iso.org/iso/19115/-3/gcx/1.0 http://standards.iso.org/iso/19115/-3/gcx/1.0/gcx.xsd http://standards.iso.org/iso/19115/-3/gex/1.0 http://standards.iso.org/iso/19115/-3/gex/1.0/gex.xsd http://standards.iso.org/iso/19115/-3/lan/1.0 http://standards.iso.org/iso/19115/-3/lan/1.0/lan.xsd http://standards.iso.org/iso/19115/-3/srv/2.0 http://standards.iso.org/iso/19115/-3/srv/2.0/srv.xsd http://standards.iso.org/iso/19115/-3/mas/1.0 http://standards.iso.org/iso/19115/-3/mas/1.0/mas.xsd http://standards.iso.org/iso/19115/-3/mcc/1.0 http://standards.iso.org/iso/19115/-3/mcc/1.0/mcc.xsd http://standards.iso.org/iso/19115/-3/mco/1.0 http://standards.iso.org/iso/19115/-3/mco/1.0/mco.xsd http://standards.iso.org/iso/19115/-3/mda/1.0 http://standards.iso.org/iso/19115/-3/mda/1.0/mda.xsd http://standards.iso.org/iso/19115/-3/mdb/1.0 http://standards.iso.org/iso/19115/-3/mdb/1.0/mdb.xsd http://standards.iso.org/iso/19115/-3/mds/1.0 http://standards.iso.org/iso/19115/-3/mds/1.0/mds.xsd http://standards.iso.org/iso/19115/-3/mdt/1.0 http://standards.iso.org/iso/19115/-3/mdt/1.0/mdt.xsd http://standards.iso.org/iso/19115/-3/mex/1.0 http://standards.iso.org/iso/19115/-3/mex/1.0/mex.xsd http://standards.iso.org/iso/19115/-3/mmi/1.0 http://standards.iso.org/iso/19115/-3/mmi/1.0/mmi.xsd http://standards.iso.org/iso/19115/-3/mpc/1.0 http://standards.iso.org/iso/19115/-3/mpc/1.0/mpc.xsd http://standards.iso.org/iso/19115/-3/mrc/1.0 http://standards.iso.org/iso/19115/-3/mrc/1.0/mrc.xsd http://standards.iso.org/iso/19115/-3/mrd/1.0 http://standards.iso.org/iso/19115/-3/mrd/1.0/mrd.xsd http://standards.iso.org/iso/19115/-3/mri/1.0 http://standards.iso.org/iso/19115/-3/mri/1.0/mri.xsd http://standards.iso.org/iso/19115/-3/mrl/1.0 http://standards.iso.org/iso/19115/-3/mrl/1.0/mrl.xsd http://standards.iso.org/iso/19115/-3/mrs/1.0 http://standards.iso.org/iso/19115/-3/mrs/1.0/mrs.xsd http://standards.iso.org/iso/19115/-3/msr/1.0 http://standards.iso.org/iso/19115/-3/msr/1.0/msr.xsd http://standards.iso.org/iso/19157/-2/mdq/1.0 http://standards.iso.org/iso/19157/-2/mdq/1.0/mdq.xsd http://standards.iso.org/iso/19115/-3/mac/1.0 http://standards.iso.org/iso/19115/-3/mac/1.0/mac.xsd http://standards.iso.org/iso/19115/-3/gco/1.0 http://standards.iso.org/iso/19115/-3/gco/1.0/gco.xsd http://www.opengis.net/gml/3.2 http://schemas.opengis.net/gml/3.2.1/gml.xsd http://www.w3.org/1999/xlink http://www.w3.org/1999/xlink.xsd"> <mdb:metadataIdentifier> <mcc:MD_Identifier> <mcc:authority> <cit:CI_Citation> <cit:title> <gco:CharacterString>GeoNetwork UUID</gco:CharacterString> </cit:title> </cit:CI_Citation> </mcc:authority> <mcc:code> <gco:CharacterString>dbcc0c59-81e6-4eed-e044-00144fdd4fa6</gco:CharacterString> </mcc:code> <mcc:codeSpace> <gco:CharacterString>urn:uuid</gco:CharacterString> </mcc:codeSpace> </mcc:MD_Identifier> </mdb:metadataIdentifier> <mdb:parentMetadata> <cit:CI_Citation> <cit:title> <gco:CharacterString>Geophysical Data Collection - gravity</gco:CharacterString> </cit:title> <cit:date> <cit:CI_Date> <cit:date> <gco:DateTime>1937-01-01T00:00:00</gco:DateTime> </cit:date> <cit:dateType> <cit:CI_DateTypeCode codeList="codeListLocation#CI_DateTypeCode" codeListValue="creation"/> </cit:dateType> </cit:CI_Date> </cit:date> <cit:edition gco:nilReason="missing"> <gco:CharacterString/> </cit:edition> <cit:editionDate> <gco:DateTime>1937-01-01T00:00:00</gco:DateTime> </cit:editionDate> <cit:identifier> <mcc:MD_Identifier> <mcc:code> <gcx:FileName src="http://intranet.ga.gov.au/geonetwork/srv/eng/file.disclaimer?uuid=dbcc0c59-81e6-4eed-e044-00144fdd4fa6&amp;fname=c6b58f54-102c-19e9-e044-00144fdd4fa6&amp;access=private">c6b58f54-102c-19e9-e044-00144fdd4fa6</gcx:FileName> </mcc:code> <mcc:description> <gco:CharacterString>UUID</gco:CharacterString> </mcc:description> </mcc:MD_Identifier> </cit:identifier> <cit:identifier> <mcc:MD_Identifier> <mcc:code> <gcx:FileName src="http://intranet.ga.gov.au/geonetwork/srv/eng/file.disclaimer?uuid=dbcc0c59-81e6-4eed-e044-00144fdd4fa6&amp;fname=74512&amp;access=private">74512</gcx:FileName> </mcc:code> <mcc:description> <gco:CharacterString>eCat ID</gco:CharacterString> </mcc:description> </mcc:MD_Identifier> </cit:identifier> <cit:ISBN gco:nilReason="missing"> <gco:CharacterString/> </cit:ISBN> </cit:CI_Citation> </mdb:parentMetadata> <mdb:metadataScope> <mdb:MD_MetadataScope> <mdb:resourceScope> <mcc:MD_ScopeCode codeList="codeListLocation#MD_ScopeCode" codeListValue="dataset"/> </mdb:resourceScope> <mdb:name> <gco:CharacterString>dataset</gco:CharacterString> </mdb:name> </mdb:MD_MetadataScope> </mdb:metadataScope> <mdb:contact> <cit:CI_Responsibility> <cit:role> <cit:CI_RoleCode codeList="codeListLocation#CI_RoleCode" codeListValue="pointOfContact"/> </cit:role> <cit:party> <cit:CI_Organisation> <cit:name> <gco:CharacterString>Commonwealth of Australia (Geoscience Australia)</gco:CharacterString> </cit:name> <cit:contactInfo> <cit:CI_Contact> <cit:phone> <cit:CI_Telephone> <cit:number> <gco:CharacterString>02 6249 9966</gco:CharacterString> </cit:number> <cit:numberType> <cit:CI_TelephoneTypeCode codeList="codeListLocation#CI_TelephoneTypeCode" codeListValue="voice"/> </cit:numberType> </cit:CI_Telephone> </cit:phone> <cit:phone> <cit:CI_Telephone> <cit:number> <gco:CharacterString>02 6249 9960</gco:CharacterString> </cit:number> <cit:numberType> <cit:CI_TelephoneTypeCode codeList="codeListLocation#CI_TelephoneTypeCode" codeListValue="facsimile"/> </cit:numberType> </cit:CI_Telephone> </cit:phone> <cit:address> <cit:CI_Address> <cit:deliveryPoint> <gco:CharacterString>Cnr Jerrabomberra Ave and Hindmarsh Dr</gco:CharacterString> </cit:deliveryPoint> <cit:deliveryPoint> <gco:CharacterString>GPO Box 378</gco:CharacterString> </cit:deliveryPoint> <cit:city> <gco:CharacterString>Canberra</gco:CharacterString> </cit:city> <cit:administrativeArea> <gco:CharacterString>ACT</gco:CharacterString> </cit:administrativeArea> <cit:postalCode> <gco:CharacterString>2601</gco:CharacterString> </cit:postalCode> <cit:country> <gco:CharacterString>Australia</gco:CharacterString> </cit:country> <cit:electronicMailAddress> <gco:CharacterString>clientservices@ga.gov.au</gco:CharacterString> </cit:electronicMailAddress> </cit:CI_Address> </cit:address> </cit:CI_Contact> </cit:contactInfo> </cit:CI_Organisation> </cit:party> </cit:CI_Responsibility> </mdb:contact> <mdb:dateInfo> <cit:CI_Date> <cit:date> <gco:DateTime>2016-06-16T14:38:55</gco:DateTime> </cit:date> <cit:dateType> <cit:CI_DateTypeCode codeList="codeListLocation#CI_DateTypeCode" codeListValue="revision"/> </cit:dateType> </cit:CI_Date> </mdb:dateInfo> <mdb:dateInfo> <cit:CI_Date> <cit:date> <gco:DateTime>2013-05-03T00:00:00</gco:DateTime> </cit:date> <cit:dateType> <cit:CI_DateTypeCode codeList="codeListLocation#CI_DateTypeCode" codeListValue="creation"/> </cit:dateType> </cit:CI_Date> </mdb:dateInfo> <mdb:metadataStandard> <cit:CI_Citation> <cit:title> <gco:CharacterString>ANZLIC Metadata Profile: An Australian/New Zealand Profile of AS/NZS ISO 19115:2005, Geographic information - Metadata</gco:CharacterString> </cit:title> <cit:edition> <gco:CharacterString>1.1</gco:CharacterString> </cit:edition> </cit:CI_Citation> </mdb:metadataStandard> <mdb:metadataProfile> <cit:CI_Citation> <cit:title> <gco:CharacterString>Geoscience Australia Community Metadata Profile of ISO 19115-1:2014</gco:CharacterString> </cit:title> <cit:edition> <gco:CharacterString>Version 2.0, April 2015</gco:CharacterString> </cit:edition> </cit:CI_Citation> </mdb:metadataProfile> <mdb:alternativeMetadataReference> <cit:CI_Citation> <cit:title> <gco:CharacterString>Geoscience Australia - short identifier for metadata record with uuid</gco:CharacterString> </cit:title> <cit:identifier> <mcc:MD_Identifier> <mcc:code> <gco:CharacterString>76068</gco:CharacterString> </mcc:code> <mcc:codeSpace> <gco:CharacterString>http://www.ga.gov.au/eCatId</gco:CharacterString> </mcc:codeSpace> </mcc:MD_Identifier> </cit:identifier> </cit:CI_Citation> </mdb:alternativeMetadataReference> <mdb:metadataLinkage> <cit:CI_OnlineResource> <cit:linkage> <gco:CharacterString>http://intranet.ga.gov.au/geonetwork/srv/eng/search?uuid=dbcc0c59-81e6-4eed-e044-00144fdd4fa6</gco:CharacterString> </cit:linkage> <cit:function> <cit:CI_OnLineFunctionCode codeList="codeListLocation#CI_OnLineFunctionCode" codeListValue="completeMetadata"/> </cit:function> </cit:CI_OnlineResource> </mdb:metadataLinkage> <mdb:identificationInfo> <mri:MD_DataIdentification> <mri:citation> <cit:CI_Citation> <cit:title> <gco:CharacterString>Isostatic Residual Gravity Anomaly Grid of Onshore Australia - 2011</gco:CharacterString> </cit:title> <cit:date> <cit:CI_Date> <cit:date> <gco:DateTime>2011-01-01T00:00:00</gco:DateTime> </cit:date> <cit:dateType> <cit:CI_DateTypeCode codeList="codeListLocation#CI_DateTypeCode" codeListValue="publication"/> </cit:dateType> </cit:CI_Date> </cit:date> <cit:identifier> <mcc:MD_Identifier> <mcc:code> <gco:CharacterString>76068</gco:CharacterString> </mcc:code> </mcc:MD_Identifier> </cit:identifier> <cit:identifier> <mcc:MD_Identifier> <mcc:code> <gco:CharacterString>Product</gco:CharacterString> </mcc:code> </mcc:MD_Identifier> </cit:identifier> <cit:identifier> <mcc:MD_Identifier> <mcc:code> <gco:CharacterString>http://www.ga.gov.au/metadata-gateway/metadata/record/76068/</gco:CharacterString> </mcc:code> <mcc:codeSpace> <gco:CharacterString>ga-dataSetURI</gco:CharacterString> </mcc:codeSpace> </mcc:MD_Identifier> </cit:identifier> <cit:citedResponsibleParty> <cit:CI_Responsibility> <cit:role> <cit:CI_RoleCode codeList="codeListLocation#CI_RoleCode" codeListValue="publisher"/> </cit:role> <cit:party> <cit:CI_Organisation> <cit:name> <gco:CharacterString>Geoscience Australia</gco:CharacterString> </cit:name> <cit:contactInfo> <cit:CI_Contact> <cit:address> <cit:CI_Address> <cit:city> <gco:CharacterString>Canberra</gco:CharacterString> </cit:city> </cit:CI_Address> </cit:address> </cit:CI_Contact> </cit:contactInfo> </cit:CI_Organisation> </cit:party> </cit:CI_Responsibility> </cit:citedResponsibleParty> <cit:citedResponsibleParty> <cit:CI_Responsibility> <cit:role> <cit:CI_RoleCode codeList="codeListLocation#CI_RoleCode" codeListValue="author"/> </cit:role> <cit:party> <cit:CI_Individual> <cit:name> <gco:CharacterString>Nakamura, A.</gco:CharacterString> </cit:name> <cit:contactInfo> <cit:CI_Contact> <cit:contactInstructions> <gco:CharacterString>1</gco:CharacterString> </cit:contactInstructions> </cit:CI_Contact> </cit:contactInfo> </cit:CI_Individual> </cit:party> </cit:CI_Responsibility> </cit:citedResponsibleParty> </cit:CI_Citation> </mri:citation> <mri:abstract> <gco:CharacterString>Gravity data measure small changes in gravity due to changes in the density of rocks beneath the Earth surface. This grid represents isostatic residual gravity anomalies over onshore Australia made from onshore gravity measurements collected on geophysical surveys conducted by Commonwealth, State and Northern Territory governments, and the private sector. The grid cell size is approximately 800 metres. As the effect of the long wavelength anomalies are removed, the isostatic residual anomalies reveal better than most gravity maps, the density distributions within the upper crust.</gco:CharacterString> </mri:abstract> <mri:pointOfContact> <cit:CI_Responsibility> <cit:role> <cit:CI_RoleCode codeList="codeListLocation#CI_RoleCode" codeListValue="owner">owner</cit:CI_RoleCode> </cit:role> <cit:party> <cit:CI_Organisation> <cit:name> <gco:CharacterString>Commonwealth of Australia (Geoscience Australia)</gco:CharacterString> </cit:name> </cit:CI_Organisation> </cit:party> </cit:CI_Responsibility> </mri:pointOfContact> <mri:pointOfContact> <cit:CI_Responsibility> <cit:role> <cit:CI_RoleCode codeList="codeListLocation#CI_RoleCode" codeListValue="custodian">custodian</cit:CI_RoleCode> </cit:role> <cit:party> <cit:CI_Organisation> <cit:name> <gco:CharacterString>Commonwealth of Australia (Geoscience Australia)</gco:CharacterString> </cit:name> <cit:contactInfo> <cit:CI_Contact> <cit:phone> <cit:CI_Telephone> <cit:number> <gco:CharacterString>02 6249 9966</gco:CharacterString> </cit:number> <cit:numberType> <cit:CI_TelephoneTypeCode codeList="codeListLocation#CI_TelephoneTypeCode" codeListValue="voice">voice</cit:CI_TelephoneTypeCode> </cit:numberType> </cit:CI_Telephone> </cit:phone> <cit:phone> <cit:CI_Telephone> <cit:number> <gco:CharacterString>02 6249 9960</gco:CharacterString> </cit:number> <cit:numberType> <cit:CI_TelephoneTypeCode codeList="codeListLocation#CI_TelephoneTypeCode" codeListValue="facsimile">facsimile</cit:CI_TelephoneTypeCode> </cit:numberType> </cit:CI_Telephone> </cit:phone> <cit:address> <cit:CI_Address> <cit:deliveryPoint> <gco:CharacterString>Cnr Jerrabomberra Ave and Hindmarsh Dr GPO Box 378</gco:CharacterString> </cit:deliveryPoint> <cit:city> <gco:CharacterString>Canberra</gco:CharacterString> </cit:city> <cit:administrativeArea> <gco:CharacterString>ACT</gco:CharacterString> </cit:administrativeArea> <cit:postalCode> 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<gco:CharacterString>html</gco:CharacterString> </cit:title> <cit:date> <cit:CI_Date> <cit:date gco:nilReason="missing"/> <cit:dateType gco:nilReason="missing"/> </cit:CI_Date> </cit:date> <cit:edition> <gco:CharacterString>1</gco:CharacterString> </cit:edition> </cit:CI_Citation> </mrd:formatSpecificationCitation> <mrd:formatDistributor> <mrd:MD_Distributor> <mrd:distributorContact> <cit:CI_Responsibility> <cit:role> <cit:CI_RoleCode codeList="codeListLocation#CI_RoleCode" codeListValue="distributor"/> </cit:role> <cit:party> <cit:CI_Organisation> <cit:name> <gco:CharacterString>Geoscience Australia</gco:CharacterString> </cit:name> <cit:contactInfo> <cit:CI_Contact> <cit:phone> <cit:CI_Telephone> <cit:number> <gco:CharacterString>+61 2 6249 9966</gco:CharacterString> </cit:number> <cit:numberType> <cit:CI_TelephoneTypeCode codeList="codeListLocation#CI_TelephoneTypeCode" codeListValue="voice"/> </cit:numberType> </cit:CI_Telephone> </cit:phone> <cit:phone> <cit:CI_Telephone> <cit:number> <gco:CharacterString>+61 2 6249 9960</gco:CharacterString> </cit:number> <cit:numberType> <cit:CI_TelephoneTypeCode codeList="codeListLocation#CI_TelephoneTypeCode" codeListValue="facsimile"/> </cit:numberType> </cit:CI_Telephone> </cit:phone> <cit:address> <cit:CI_Address> <cit:deliveryPoint> <gco:CharacterString>GPO Box 378</gco:CharacterString> </cit:deliveryPoint> <cit:city> <gco:CharacterString>Canberra</gco:CharacterString> </cit:city> <cit:administrativeArea> <gco:CharacterString>ACT</gco:CharacterString> </cit:administrativeArea> <cit:postalCode> <gco:CharacterString>2601</gco:CharacterString> </cit:postalCode> <cit:country> <gco:CharacterString>Australia</gco:CharacterString> </cit:country> <cit:electronicMailAddress> <gco:CharacterString>clientservices@ga.gov.au</gco:CharacterString> </cit:electronicMailAddress> </cit:CI_Address> </cit:address> </cit:CI_Contact> </cit:contactInfo> </cit:CI_Organisation> </cit:party> </cit:CI_Responsibility> 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</cit:CI_Date> </cit:date> <cit:edition> <gco:CharacterString>1</gco:CharacterString> </cit:edition> </cit:CI_Citation> </mrd:formatSpecificationCitation> <mrd:formatDistributor> <mrd:MD_Distributor> <mrd:distributorContact> <cit:CI_Responsibility> <cit:role> <cit:CI_RoleCode codeList="codeListLocation#CI_RoleCode" codeListValue="distributor"/> </cit:role> <cit:party> <cit:CI_Organisation> <cit:name> <gco:CharacterString>Geoscience Australia</gco:CharacterString> </cit:name> <cit:contactInfo> <cit:CI_Contact> <cit:phone> <cit:CI_Telephone> <cit:number> <gco:CharacterString>+61 2 6249 9966</gco:CharacterString> </cit:number> <cit:numberType> <cit:CI_TelephoneTypeCode codeList="codeListLocation#CI_TelephoneTypeCode" codeListValue="voice"/> </cit:numberType> </cit:CI_Telephone> </cit:phone> <cit:phone> <cit:CI_Telephone> <cit:number> <gco:CharacterString>+61 2 6249 9960</gco:CharacterString> </cit:number> <cit:numberType> <cit:CI_TelephoneTypeCode codeList="codeListLocation#CI_TelephoneTypeCode" codeListValue="facsimile"/> </cit:numberType> </cit:CI_Telephone> </cit:phone> <cit:address> <cit:CI_Address> <cit:deliveryPoint> <gco:CharacterString>GPO Box 378</gco:CharacterString> </cit:deliveryPoint> <cit:city> <gco:CharacterString>Canberra</gco:CharacterString> </cit:city> <cit:administrativeArea> <gco:CharacterString>ACT</gco:CharacterString> </cit:administrativeArea> <cit:postalCode> <gco:CharacterString>2601</gco:CharacterString> </cit:postalCode> <cit:country> <gco:CharacterString>Australia</gco:CharacterString> </cit:country> <cit:electronicMailAddress> <gco:CharacterString>clientservices@ga.gov.au</gco:CharacterString> </cit:electronicMailAddress> </cit:CI_Address> </cit:address> </cit:CI_Contact> </cit:contactInfo> </cit:CI_Organisation> </cit:party> </cit:CI_Responsibility> </mrd:distributorContact> <mrd:distributorTransferOptions> <mrd:MD_DigitalTransferOptions> <mrd:onLine> <cit:CI_OnlineResource> <cit:linkage> <gco:CharacterString>http://www.geoscience.gov.au/cgi-bin/mapserv?map=/nas/web/ops/prod/apps/mapserver/gadds/wms_map/gadds.map</gco:CharacterString> </cit:linkage> <cit:protocol> <gco:CharacterString>WWW:LINK-1.0-http--link</gco:CharacterString> </cit:protocol> <cit:name> <gco:CharacterString>Australian Geophisical Archive Data Delivery System</gco:CharacterString> </cit:name> <cit:description> <gco:CharacterString>Download from Geoscience Australia Geophisical Archive Data Delivery System</gco:CharacterString> </cit:description> </cit:CI_OnlineResource> </mrd:onLine> </mrd:MD_DigitalTransferOptions> </mrd:distributorTransferOptions> </mrd:MD_Distributor> </mrd:formatDistributor> </mrd:MD_Format> </mrd:distributionFormat> </mrd:MD_Distribution> </mdb:distributionInfo> <mdb:resourceLineage> <mrl:LI_Lineage> <mrl:statement> <gco:CharacterString>The gravity data set of onshore Australia contains more than 1.57 million reliable onshore stations gathered during more than 1800 surveys and 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Geoscience Australia's 2009 Bathymetry and Topography Grid (Whiteway, 2009) was used to calculate the depth to crustal bottom following the Airy-Heiskanen crustal-root model. The isostatic corrections were then applied to the complete Bouguer anomalies (Tracey and Nakamura, 2010) to produce the Isostatic Residual Gravity Anomaly Grid of Australia. The gravity anomalies are based on the Australian Absolute Gravity Datum 2007 and 1994 Geodetic Datum of Australia (Tracey et al., 2008). A crustal density of 2.67 tonnes per cubic meter was used for the calculation, with an assumed density contrast between the crust and mantle of 0.4 tonnes per cubic meter. A depth to mantle at sea level of 37 km was used in the calculation. This was derived from the average Australian depth to the Mohorovi&#191;i&#191; discontinuity (Moho) at sea level using data from seismic studies around Australia (Goncharov et al., 2007). 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Complete Bouguer Anomalies for the Australian National Gravity Database: ASEG Extended Abstracts, vol. 2010, pp. 1-3, ASEG2010 21st Geophysical Conference. Whiteway, T.G., 2009. Australian Bathymetry and Topography Grid: Geoscience Australia Record 2009/21, 46pp.</gco:CharacterString> </mrl:statement> <mrl:scope> <mcc:MD_Scope> <mcc:level> <mcc:MD_ScopeCode codeList="codeListLocation#MD_ScopeCode" codeListValue="dataset"/> </mcc:level> </mcc:MD_Scope> </mrl:scope> <mrl:source> <mrl:LI_Source> <mrl:description> <gco:CharacterString>The 2011 gravity grid over Continental Australia is derived from observations recorded at more than 1.57 million gravity stations held in the Australian National Gravity Database (ANGD) by Geoscience Australia (GA). The onshore data were acquired by the Commonwealth, State and Territory Governments, the mining and exploration industry, universities and research organisations over the past 60 years.</gco:CharacterString> </mrl:description> </mrl:LI_Source> </mrl:source> </mrl:LI_Lineage> </mdb:resourceLineage> <mdb:metadataConstraints> <mco:MD_SecurityConstraints> <mco:classification> <mco:MD_ClassificationCode codeList="codeListLocation#MD_ClassificationCode" codeListValue="unclassified"/> </mco:classification> </mco:MD_SecurityConstraints> </mdb:metadataConstraints> </mdb:MD_Metadata>""" # Instantiate empty MTLMetadata object and parse test string (strip all # EOLs first) xml_object = XMLMetadata() xml_object.read_string(TESTXML) assert xml_object.metadata_dict, 'No metadata_dict created' assert xml_object.tree_to_list(), 'Unable to create list from metadata_dict' #========================================================================= # assert xml_object.get_metadata('EODS_DATASET,ACQUISITIONINFORMATION,PLATFORMNAME'.split(',')), 'Unable to find value for key L1_METADATA_FILE,PRODUCT_METADATA,SPACECRAFT_ID' # assert xml_object.get_metadata('...,PLATFORMNAME'.split(',')), 'Unable to find value for key ...,SPACECRAFT_ID' # assert not xml_object.get_metadata('RUBBERCHICKEN'.split(',')), 'Found nonexistent key RUBBERCHICKEN' # xml_object.set_metadata_node('EODS_DATASET,ACQUISITIONINFORMATION,PLATFORMNAME'.split(','), 'Rubber Chicken') # assert xml_object.get_metadata('...,PLATFORMNAME'.split(',')), 'Unable to change ...,SPACECRAFT_ID to "Rubber Chicken"' # xml_object.merge_metadata_dicts({'RUBBERCHICKEN': 'Rubber Chicken'}, xml_object.metadata_dict) # assert xml_object.get_metadata('RUBBERCHICKEN'.split(',')), 'Unable to find value for key RUBBERCHICKEN' # xml_object.delete_metadata('RUBBERCHICKEN'.split(',')) # assert not xml_object.get_metadata('RUBBERCHICKEN'.split(',')), 'Found value for key RUBBERCHICKEN' #========================================================================= print xml_object.tree_to_list() if __name__ == '__main__': main()
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py
Python
Compliant_control/gym-panda/HFMC/gym_panda/envs/__init__.py
martihmy/Compliant_control
485f627fa83d59f414f41bd57c5d37528ef5f1ec
[ "Apache-2.0" ]
null
null
null
Compliant_control/gym-panda/HFMC/gym_panda/envs/__init__.py
martihmy/Compliant_control
485f627fa83d59f414f41bd57c5d37528ef5f1ec
[ "Apache-2.0" ]
null
null
null
Compliant_control/gym-panda/HFMC/gym_panda/envs/__init__.py
martihmy/Compliant_control
485f627fa83d59f414f41bd57c5d37528ef5f1ec
[ "Apache-2.0" ]
null
null
null
""" from gym_panda.envs.AC_Env import AdmittanceEnv from gym_panda.envs.AC_Env import Normalised_Env """ from gym_panda.envs.HFMC_Env import HFMC_Env from gym_panda.envs.HFMC_Env import Normalised_HFMC_Env """ from gym_panda.envs.VIC_Env import VIC_Env from gym_panda.envs.VIC_Env import Normalised_VIC_Env """
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09c1ea94bd4c8d39be58c37d2a252e6e53355e33
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py
Python
python/test/__init__.py
modelop/fastscore-sdk
2206a4b9294cd83b6b8c2470193070bdc35a9061
[ "Apache-2.0" ]
2
2018-06-05T19:14:30.000Z
2019-02-06T17:15:10.000Z
python/test/__init__.py
modelop/fastscore-sdk
2206a4b9294cd83b6b8c2470193070bdc35a9061
[ "Apache-2.0" ]
2
2018-02-20T21:58:43.000Z
2018-10-07T10:10:54.000Z
python/test/__init__.py
modelop/fastscore-sdk
2206a4b9294cd83b6b8c2470193070bdc35a9061
[ "Apache-2.0" ]
1
2017-12-29T20:38:06.000Z
2017-12-29T20:38:06.000Z
from . import test_connect from . import test_model_manage from . import test_engine from . import config
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09c876a025048bd21db86ed57f508d874bc570c6
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py
Python
2015/2015_03.py
hnorm/Advent-Of-Code
a9c2180fcc9f41b3079cadc7d098b53f803c5d35
[ "MIT" ]
null
null
null
2015/2015_03.py
hnorm/Advent-Of-Code
a9c2180fcc9f41b3079cadc7d098b53f803c5d35
[ "MIT" ]
null
null
null
2015/2015_03.py
hnorm/Advent-Of-Code
a9c2180fcc9f41b3079cadc7d098b53f803c5d35
[ "MIT" ]
null
null
null
directions = "^><^>>>^<^v<v^^vv^><<^<><<vv^<>^<^v>^vv<>v><vv^^<>>^^^v<<vv><<^>^<^v<^>^v><<<v^<v<<<v<<vv<v<^><^>><>v>v^<<v^^<^v<><^>^<<^^^>v>>v^^<v>>^>vv><v>>^>>v^>^v>^<^^v>^>^^v<v>^^<v<>>v^^v><^><^<<>v^<^<^v<v>v^>>>v^v^>^<>^v<^^vv<v>^>^<>^^<vv^<><<v<^<^^>vv<>^>v<^>^v>v^>^v<>^><>><vv<>v^v<><>v^v>>>>v^^>^><^^<v<^><^<v>>^v^v<>v<<<^<<vvvv<<v^vv^>v^^^<^^^<v>>v<^v>>>>>v<^^^^>v<^<><v>>>>><v>>v^vvvv^^<v^<>^v<^v^>v><^>^v<<>>vv^>v>v^^>vv^<^vvv<>><>><><^^^<v<>^<^^^<v><^v>>v>^v<v^vv^<>^^^>v^^^v>>^v^^<^>>^>^<<v>>>^^<>>^vv>v^<^>>>><v<><><^^v<><<<<^^<>>^<vvv^><>v<v<<<<><v<<v>v<v^><vv<v^>^<^>v^^><^v>^^>v<>^v^<>^vv^><v^^vv>vvv>v>^<vv^>>^>>^>><>>>^^^^v<vv>^<>v^^><v^>^<>v<^^v><v<<><^v><>^^^^^v^v>>^^v><<><<vv>^^^^><^>v>><<<^v>v^^>^v^<^^v>v<^<<>>^v<<<v<<>>v<^v^><vv<v^v>v^<v>><v>^v<<<vv^>v<v>>v>>v><v><v^>v^^v>^v^>>>><>^>v>^v^>>>>v^<<vv<^v><<>v<v^<^^<<v<^v^^v^>vv><vv<v^<^>><^^>^<><^^<v<><^v^v^<^^>^<v><^<v>v^<<<^^v<v>^v>>><>^^>vv<<^v^<<<<^^>>>v>v<<<>^^>>>v>^>v>vv<<>^<^><v^>^^<^<v<<v<^>>^v^<vvv><>v^><<v>^^<v^vv^^^<vvv^<^>^>vv>><^v<^<<v<><<><<^^<><><vv>v>^<v>>^<>>^^v>vv^<^^v>><^vv^<<v^^><<>vv<v<><v<><v^^^v^v>^v<^<>v^^>><>^<^<v^<v^v^>v<<<^<<^>>>^^<^^v>v^<v>vvvv>v<>><^>^<<<<v^<v<>v^^^v<>v>^<v<<^^v^^<>^<<v^^<^<v>v>>v>>v^>^<vv<<<<<^<><>v><>>>v^>^v<^<><<v<^v^^<^<><^>^^^>^><>^><<vv>^<>vv<<v^v<<<<<>>>v<vv>^v>^>^>^<^><>v<><>>>^^<v>^<^v>>^<><v^><v^>>>v<v^^vvv^><v<v>v^>vvvv>>><^>v<>^^^>v>>v^<v<>v^>^<v^>^<<^>^>>v<<><<v^^>>v^<v^<^v^>^>v^><<^<v>v^<v>>^^<<v>v><<<^v^<>^<>^>>^<<v>^^<>^v<>v^>>><<v>><v^>^><v^<><v><>><v^<>vv>v^<^^^>v>^^<vv>>^v<><>>><>><^<>>v>v^^>^^<^^>^>>v>vv^^v<^<^v><vv<v<^>><<vvv<<><^>^v>^^^<<>v^<v<v><<v>^^v<<<>^^vv<^>vv>^>^<><<>vv<^>v^vv>^^^v><<^vv>^v<><v^^^^v^>vv^^<^<>^^v^<^vv<v<vv<>v>v^^<>^^>^^>^<><<^v>^><^^vvvv<><>^<v^^>v<>^><>v>><>vv^<<><<>><>v<^>^v>>^^v><<<>>^<^v^<v<<<v^>^^<^<><><^><<<<^<vv><v<<><vvv^^><vv>^<<vv<<<^v<>>><><>>v><<<v>vvvv^^vv<v>><<^v^vvv><><vv>v><>v<<<^<v^>><^^>v^<v>><v>^^^v^v>><<<v<^^>>^v<>v^<vv^^<<v<v>v<<<<^^^v^v<<>>>v>>vv>^^<><^v<v><>>v^>>>>>^>v^v^<^v^v^vvv>v<v<^>vv^<<v>vv>>v^^vv<^v>>>>vv<>v<>^^vv^<v>v^>>vvv<<<v<<^vv^^^^>v>v>^><<<^>v^><v<^<<<v>^v^^^><<><<<^^<^^<>^<v>^<v<<v<^^vv>v<^v><v><v<>^v<^<v<^<v^v><v>><v<v<<>^<v<>>><>^v^v<<^><v^<<v<v^>^>v><^>^vv^^<v<v<vv<v>^v^v^>^<<>>>>>v^<>^>v^vv^><<>>^^<>v^><v>^vvv^>v^v><>^><<>v>v<^<^><^^vv<<><>>v>>v><vv>>^v<<>^vv<>^vv>v>v>^>^>>><><<>v<v>^<<^v^^<<<><v>>vv<^<vv<vv^<<v<<^v><<>v<^^^<<^v^>^v>^^^v^v>>>v>v^v>^>^vv<^^<<vv^>^<<<vv>v^<><<^vvv^^><>vv^v>v>^><<^^^^vvv^<vvv>><^v<^>^<>>^<v<<vv>>><v>vv^<>><v^<v>^v>^>v>^<^<^^^<<vvvv^>>>>>>>v><vv>^<>^^v^><>><^v^^<v^v<<<<v^>><>v^v<vv<><^<<<<^>^^>vv>><^v<v^v<<>^vvv>v^^><^^<^<>>^^v^vv<>v<^<<<v^^^><v<vv<<>v>v<>^v^><v^vv^v^^v<^^v^^v><>v<^v>><<^<^v^>><<vv<<^>^<<v^<>^><>v><vv^v>>^<v<<<^>vv<^v>^>v<<v>^>>^>>v^<v<v>>^v<^v^v><<><>^><<<><v<vvvv<v^<v^v><>^<>^^^^v>^>^vvvvv>v>>v><<vv<<v<><<^><<^v><<v<<<v><vv<^>^v>>>>^v<^v<<>>^>^<<vv^<^>v>><<^>^>^v><><>^><<v<>v^><<^v^<^^><^^v^<<^v^^>>^v^<^><vv>v^^<<^^^<><>^>v^v>v^>^v^vv>^^>>>>^^<^>>>^^v<vv<><^^<vvv<^^^vv>v<v<v>><<<>^>^^>^>^v<<<<>>^<<>><v>>v>^^<^v<>v<>v^>v^><^<^^><v^^v>^^vv<v<<>><<vv<>>v>^<<<<v<<v>^><^^<^<^<v^<<^^v>^v<^>v^v^<v^vv^>^^><^>v^v>>^^v^><vv<v<v<v>>>>><<><v><v^v^<v^<^^<v<>^>v>v<>>>v>^^^^>><v^v^^v<<<>v^<<^<v>>>><^v^<<><v<>>v><><v<v^v>^v^^<v<^<^^v>><<vv<<vv><>>^>^>vv<^<>^vvv^v<v^^<>v^v>^^<<<<<>^v^>^<>v^^<>v^v<vv>^<>vv^<^vv>><v^^vvvvv>><<>v<vv^<^<vv^v^<>^^<v^<vv^<v^v^v<<^>^>^>^^>>>vvv>^>v>v>>>^>vv^><>^><>v>^^<v^>^><<v>><<<>>v<vvvv^>^v<^<>^<v>^<>^^<<><>^v<><>>>^vv<^<<^<^v>v<<<<<^^v<^v<><v<<><^>v>^v>>^v^><^^^^v<><><>vv^<>vv<^v<^^><v^<^><^^v^v^<^^<<><v>v<v<v^<<^v><>v^v<^>vvv><<^v>>v><><v<<^>>>v<^>>v>^<>><>^<v^v^<vv<<^>v<^^>^<^v<^<<^^v<>>^>^>^v^^v^v<v^^vv^<v>>v><vv^vv>v<>v^>v^^>^^>><v><v^<<><<>><<^^>><^v<v<><<><<><v<v^<^<v>>>><v^^v^^>>>^^^^^<<vv<^><>^<<<vv^^^>^><<<v<^v>^<v<^>^vvv<<>vv><<>v>v^v>>>>>^<>><^^^><<<<v><<vv>>>v<^<vv^v^<<v>>>>^^vvv>v<>><v>>>v>>^v^vvv<<>vvv<<^^^<>vv^^v<<>^^^>>^<^v^<^^>v^><v>>^<<^v<<vv<vv>v^>>^>v^><^><>^>>>vv>><^^^>vv<<^^vv><^<>^>^^<^<>>^vv^>>^v><>v^>>><<<^^<^>^>v<^>^<^^<>>><^^<>^v^<<vvv<v><>vvv><v>v^v<<^<v>^^><<^vv^v>v>v<<^v^<<<>^><><vvv>v>^vv^v<>vv^>^^<^>^>v^^<vv^>v><v<<<><>>^v<^<><><^<v^^<<^<v>vv<><<>v^<v^>^>^^<><<>^<^<<v^^v<v^<><<>v>><^<<>^>^v^v<v^v><^>>^v<^>v<<>^^^<^v>>>^<v>vvvv<<v^<^^>vvvv>v<>v<v><vvvvv>^<><>vvv<>^<<>^>>>>v^<^<><^v>v^>>v><>^><<v^>^<<>^>^v^<v^^>>^v><v>^<v><>v^<^^>v>^>>>v^v>>>^<>^<>>>>>v>>vv^v<><<<><><v><<vv<<v<><>>vv<^<vv>^v<<>v^v<^v<><v>>^v>>vvv^^v>>v>^>^>v><v><^>^^<<>^v<^<<<<^>v<^>>v^<^v>^v<<>^>^vvv<^^vv>^vv>vv<>>v>v<v>>v^<<<<<^^v^>v>^<<<v^v>>v<v><vvv><v>^<vv><<>>^<^>^^<>>>>^<^v<>v^^>^<^^v<^><>><v>>^v^vv<^v<^><<vvv<>><>><^^>^<^v^<^<>v<<<^v>v^^^<>v^<v^>^v^>><>^^<v<^><<^^v^<>^<^vv>>><^v><v^>vv<^v<<<v^>>v>v^v>^<v>v<^<>v^vvv>^vv<<<<v><^><v>>^^>><^v><<^>v^^<<v^^<^<><<<<>^<v<^v^>v<<^^>v<<<<<vvv<v<^>^>^>^>>^>>>v^<<v>>^^v><vv<^v<v<^^^>>>^vvv<^v<>>>vv>^^><^v>vv^>>v>v^<>^<vv>^>^<<^>^^^>>^vv>^^>vvvv<>>^^^^>>>v>v^^>vv>vv^<<>^><^<v^vvvv><v<><v>><<<v<v<<^v><vv^vv^<>>>^>^<v<^v<>><^<vv^^><v>v^>v^<><v^vvv>^>v^^v^>^^>v<<<<^<<^>>v>v^^^<<<v>>>^^v>v<v><<<<^^^v>^vv^>><>^v<v<<^^<<<<><>>>v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from collections import defaultdict def part_one(directions): x = 0 y = 0 presents = defaultdict(int) presents[(x, y)] += 1 for direction in directions: if direction == "^": y += 1 elif direction == "v": y -= 1 elif direction == ">": x += 1 else: x -= 1 presents[(x, y)] += 1 return len(presents.keys()) def part_two(directions): x = 0 y = 0 presents = defaultdict(int) presents[(0, 0)] += 1 for i in range(0, len(directions), 2): direction = directions[i] if direction == "^": y += 1 elif direction == "v": y -= 1 elif direction == ">": x += 1 else: x -= 1 presents[(x, y)] += 1 x = 0 y = 0 for i in range(1, len(directions), 2): direction = directions[i] if direction == "^": y += 1 elif direction == "v": y -= 1 elif direction == ">": x += 1 else: x -= 1 presents[(x, y)] += 1 return len(presents.keys()) print(part_two(directions))
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16
61d59f4c45be60ac586e7fa75e46a21ebfe5f361
49,481
py
Python
create_figures.py
cmbaker00/optimal-test-allocation
b8ad23a0bde7b360ed8e01af6beac5ba441d6322
[ "MIT" ]
null
null
null
create_figures.py
cmbaker00/optimal-test-allocation
b8ad23a0bde7b360ed8e01af6beac5ba441d6322
[ "MIT" ]
null
null
null
create_figures.py
cmbaker00/optimal-test-allocation
b8ad23a0bde7b360ed8e01af6beac5ba441d6322
[ "MIT" ]
null
null
null
import numpy as np import matplotlib.pyplot as plt from SimpleModelsModule import TestOptimisation import param_values as scenario import plotting_code import itertools import matplotlib.ticker as mtick if __name__ == "__main__": test_figure_area = False tat_figure = False kretzschmar_figure = False onward_transmission_double_figure = False track_trace_impact_figure = True positive_percent_impact_figure = False supplement_pos_perc_figures = False supplement_figure_non_quadratic = False supplement_figure_stochastic_tat = False supplement_figure_TAT_dist_hist = False supplement_figure_swab_delay = False figure_vary_routine_capacity = False base_figure_directory = 'MS_figures' if onward_transmission_double_figure: total_population = scenario.total_population # High prevelance onward_transmission_vector_high = \ plotting_code.make_onward_transmission_vector(*scenario.onward_transmission_high) test_prob_high = scenario.test_prob_high population_high, cases_high = \ plotting_code.make_population_tuple(num_close=scenario.pop_high[0], num_symp=scenario.pop_high[1], total_pop=total_population, presenting_proporition=1, probability_by_indication=test_prob_high) print(f'Daily infections = {cases_high}') # Low prevelance onward_transmission_vector_low = \ plotting_code.make_onward_transmission_vector(*scenario.onward_transmission_low) test_prob_low = scenario.test_prob_low population_low, cases_low = \ plotting_code.make_population_tuple(num_close=scenario.pop_low[0], num_symp=scenario.pop_low[1], total_pop=total_population, presenting_proporition=1, probability_by_indication=test_prob_low) print(f'Daily infections = {cases_low}') # priority_values = [True, False] priority_values = [False] capacity_values = [scenario.test_capacity_low, scenario.test_capacity_high] # symp_prop_values = [.5, 1] symp_prop_values = [.5] scenario_names = ['Low_prev', 'High_prev'] situation_dict = {'Low_prev': {'onward': onward_transmission_vector_low, 'pop': population_low, 'pre_prob': test_prob_low}, 'High_prev': {'onward': onward_transmission_vector_high, 'pop': population_high, 'pre_prob': test_prob_high} } priority_allocation_options = scenario.priority_order fig, axs = plt.subplots(1, 2, figsize=(8,4)) axs_count = itertools.count() for priority_value in priority_values: for priority_order in priority_allocation_options: for capacity_value in capacity_values: for symp_prop_value in symp_prop_values: axs_current = next(axs_count) for scenario_name in scenario_names: c_dict = situation_dict[scenario_name] test_optim = TestOptimisation(priority_queue=priority_value, onward_transmission=c_dict['onward'], population=c_dict['pop'], pre_test_probability=c_dict['pre_prob'], routine_capacity=capacity_value, symptomatic_testing_proportion=symp_prop_value, test_prioritsation_by_indication=priority_order) test_array, transmission_array, positive_array = \ test_optim.generate_onward_transmission_with_tests(max_tests_proportion=1000/capacity_value) axs[axs_current].plot([i/100 for i in test_array], 100*transmission_array/max(transmission_array)) axs[axs_current].set(xlabel='Number of tests per 1000') if axs_current == 0: axs[axs_current].set(ylabel='Percentage of onward transmission') axs[axs_current].legend(['Outbreak response', 'Community transmission']) # axs[axs_current].set axs[axs_current].plot([capacity_value/100]*2, [75, 100],'--r') plt.savefig(f'{base_figure_directory}/Onward_transmission_two_panel.png') plt.show() print(1) # plotting_code.run_analysis_save_plot(priority=priority_value, # onward_transmission=c_dict['onward'], # pop=c_dict['pop'], # pre_prob=c_dict['pre_prob'], # cap=capacity_value, # prop_symp=symp_prop_value, # scenario_name=scenario, # priority_ordering=priority_order, # directory_name=base_figure_directory) if track_trace_impact_figure: total_population = scenario.total_population # High prevelance onward_transmission_vector_high = \ plotting_code.make_onward_transmission_vector(*scenario.onward_transmission_high) test_prob_high = scenario.test_prob_high population_high, cases_high = \ plotting_code.make_population_tuple(num_close=scenario.pop_high[0], num_symp=scenario.pop_high[1], total_pop=total_population, presenting_proporition=1, probability_by_indication=test_prob_high) print(f'Daily infections = {cases_high}') # Low prevelance onward_transmission_vector_low = \ plotting_code.make_onward_transmission_vector(*scenario.onward_transmission_low) test_prob_low = scenario.test_prob_low population_low, cases_low = \ plotting_code.make_population_tuple(num_close=scenario.pop_low[0], num_symp=scenario.pop_low[1], total_pop=total_population, presenting_proporition=1, probability_by_indication=test_prob_low) print(f'Daily infections = {cases_low}') # priority_values = [True, False] priority_values = [False] capacity_values = [scenario.test_capacity_low, scenario.test_capacity_high] # symp_prop_values = [.5, 1] symp_prop_values = [.5] scenario_names = ['Low_prev'] situation_dict = {'Low_prev': {'onward': onward_transmission_vector_low, 'pop': population_low, 'pre_prob': test_prob_low}, 'High_prev': {'onward': onward_transmission_vector_high, 'pop': population_high, 'pre_prob': test_prob_high} } priority_allocation_options = scenario.priority_order plot_num = itertools.count() colours = ((0, .6, .6), (.5,.2,.3)) for priority_value in priority_values: for priority_order in priority_allocation_options: for capacity_value in capacity_values: for symp_prop_value in symp_prop_values: for scenario_name in scenario_names: c_dict = situation_dict[scenario_name] test_optim = TestOptimisation(priority_queue=priority_value, onward_transmission=c_dict['onward'], population=c_dict['pop'], pre_test_probability=c_dict['pre_prob'], routine_capacity=capacity_value, symptomatic_testing_proportion=symp_prop_value, test_prioritsation_by_indication=priority_order) test_optim_iso_only = TestOptimisation(priority_queue=priority_value, onward_transmission=c_dict['onward'], population=c_dict['pop'], pre_test_probability=c_dict['pre_prob'], routine_capacity=capacity_value, symptomatic_testing_proportion=symp_prop_value, test_prioritsation_by_indication=priority_order, routine_tat=10, tat_at_fifty_percent_surge=20 ) test_array, transmission_array, positive_array = \ test_optim.generate_onward_transmission_with_tests(max_tests_proportion=1000/capacity_value) test_array_iso, transmission_array_iso, positive_array_iso = \ test_optim_iso_only.generate_onward_transmission_with_tests(max_tests_proportion=1000/capacity_value) no_test_onward_transmission = test_optim.estimate_transmission_with_testing(0)[0] transmission_reduction = no_test_onward_transmission - transmission_array iso_reduction = no_test_onward_transmission - transmission_array_iso perc_trace = (1 - iso_reduction/transmission_reduction)*100 # transmission_reduction = max(transmission_array) - transmission_array # transmission_reduction_iso = max(transmission_array_iso) - transmission_array_iso transmisison_difference = transmission_array_iso-transmission_array percentage_transmission_difference = transmisison_difference/transmission_array_iso # print(min(transmisison_difference)) current_plot_num = next(plot_num) plt.plot([i/100 for i in test_array], perc_trace, color=colours[current_plot_num]) # axs[axs_current].plot([i/100 for i in test_array], transmission_reduction_iso) plt.xlabel('Number of tests per 1000') plt.ylabel('Percentage reduction through contact tracing') plt.legend(['Routine capacity 2 per 1000', 'Routine capacity 4 per 1000']) # axs[axs_current].set # axs[axs_current].plot([capacity_value/100]*2, [0, 45],'--r') plt.savefig(f'{base_figure_directory}/Percenage_reduction_by_tracing.png') plt.show() print(1) # plotting_code.run_analysis_save_plot(priority=priority_value, # onward_transmission=c_dict['onward'], # pop=c_dict['pop'], # pre_prob=c_dict['pre_prob'], # cap=capacity_value, # prop_symp=symp_prop_value, # scenario_name=scenario, # priority_ordering=priority_order, # directory_name=base_figure_directory) if positive_percent_impact_figure: total_population = scenario.total_population # High prevelance onward_transmission_vector_high = \ plotting_code.make_onward_transmission_vector(*scenario.onward_transmission_high) test_prob_high = scenario.test_prob_high population_high, cases_high = \ plotting_code.make_population_tuple(num_close=scenario.pop_high[0], num_symp=scenario.pop_high[1], total_pop=total_population, presenting_proporition=1, probability_by_indication=test_prob_high) print(f'Daily infections = {cases_high}') # Low prevelance onward_transmission_vector_low = \ plotting_code.make_onward_transmission_vector(*scenario.onward_transmission_low) test_prob_low = scenario.test_prob_low population_low, cases_low = \ plotting_code.make_population_tuple(num_close=scenario.pop_low[0], num_symp=scenario.pop_low[1], total_pop=total_population, presenting_proporition=1, probability_by_indication=test_prob_low) print(f'Daily infections = {cases_low}') # priority_values = [True, False] priority_values = [False] capacity_values = [scenario.test_capacity_low, scenario.test_capacity_high] # symp_prop_values = [.5, 1] symp_prop_values = [.5] scenario_names = ['Low_prev', 'High_prev'] situation_dict = {'Low_prev': {'onward': onward_transmission_vector_low, 'pop': population_low, 'pre_prob': test_prob_low}, 'High_prev': {'onward': onward_transmission_vector_high, 'pop': population_high, 'pre_prob': test_prob_high} } priority_allocation_options = scenario.priority_order priority_value = priority_values[0] priority_order = priority_allocation_options[0] capacity_value = capacity_values[0] symp_prop_value = symp_prop_values[0] scenario_name = scenario_names[1] c_dict = situation_dict[scenario_name] test_optim = TestOptimisation(priority_queue=priority_value, onward_transmission=c_dict['onward'], population=c_dict['pop'], pre_test_probability=c_dict['pre_prob'], routine_capacity=capacity_value, symptomatic_testing_proportion=symp_prop_value, test_prioritsation_by_indication=priority_order) test_array, transmission_array, positive_array = \ test_optim.generate_onward_transmission_with_tests(max_tests_proportion=1000/capacity_value) test_nparray = np.array(test_array)/100 fig, ax1 = plt.subplots() color = 'tab:blue' color = [0,0,.6] ax1.plot(test_nparray, 100*transmission_array/max(transmission_array), color=color) ax1.set_ylabel('Percentage of onwards transmission', color=color) ax1.set_xlabel('Number of tests per 1000') min_transmission_tests = test_nparray[np.where(transmission_array==min(transmission_array))] ax1.plot([min_transmission_tests]*2, [80,100],'k--') ax2 = ax1.twinx() color = [.25, .4, 0] ax2.plot([i/100 for i in test_array], 100*positive_array*np.array(test_array)/cases_high, color=color) ax2.yaxis.set_major_formatter(mtick.PercentFormatter()) ax2.set_ylabel('Percentage of infections identified', color=color) fig.tight_layout() plt.savefig(f'{base_figure_directory}/Cases_identified_transmission.png') plt.show() fig, ax1 = plt.subplots() color = 'tab:blue' color = [0,0,.6] ax1.plot(test_nparray, 100*transmission_array/max(transmission_array), color=color) ax1.set_ylabel('Percentage of onwards transmission', color=color) ax1.set_xlabel('Number of tests per 1000') min_transmission_tests = test_nparray[np.where(transmission_array==min(transmission_array))] ax1.plot([min_transmission_tests]*2, [80,100],'k--') ax2 = ax1.twinx() color = [.25, .4, 0] ax2.plot([i/100 for i in test_array], 100*positive_array, color=color) ax2.set_ylabel('Percentage positive', color=color) ax2.yaxis.set_major_formatter(mtick.PercentFormatter()) fig.tight_layout() plt.savefig(f'{base_figure_directory}/Perc_pos_transmission.png') plt.show() if supplement_pos_perc_figures: total_population = scenario.total_population # High prevelance onward_transmission_vector_high = \ plotting_code.make_onward_transmission_vector(*scenario.onward_transmission_high) test_prob_high = scenario.test_prob_high population_high, cases_high = \ plotting_code.make_population_tuple(num_close=scenario.pop_high[0], num_symp=scenario.pop_high[1], total_pop=total_population, presenting_proporition=1, probability_by_indication=test_prob_high) print(f'Daily infections = {cases_high}') # Low prevelance onward_transmission_vector_low = \ plotting_code.make_onward_transmission_vector(*scenario.onward_transmission_low) test_prob_low = scenario.test_prob_low population_low, cases_low = \ plotting_code.make_population_tuple(num_close=scenario.pop_low[0], num_symp=scenario.pop_low[1], total_pop=total_population, presenting_proporition=1, probability_by_indication=test_prob_low) print(f'Daily infections = {cases_low}') # priority_values = [True, False] priority_values = [False] capacity_values = [scenario.test_capacity_low, scenario.test_capacity_high] # symp_prop_values = [.5, 1] symp_prop_values = [.25, .5, .75] scenario_names = ['Low_prev', 'High_prev'] situation_dict = {'Low_prev': {'onward': onward_transmission_vector_low, 'pop': population_low, 'pre_prob': test_prob_low}, 'High_prev': {'onward': onward_transmission_vector_high, 'pop': population_high, 'pre_prob': test_prob_high} } priority_allocation_options = scenario.priority_order priority_value = priority_values[0] priority_order = priority_allocation_options[0] for capacity_value in capacity_values: for symp_prop_value in symp_prop_values: for scenario_name in scenario_names: c_dict = situation_dict[scenario_name] test_optim = TestOptimisation(priority_queue=priority_value, onward_transmission=c_dict['onward'], population=c_dict['pop'], pre_test_probability=c_dict['pre_prob'], routine_capacity=capacity_value, symptomatic_testing_proportion=symp_prop_value, test_prioritsation_by_indication=priority_order) test_array, transmission_array, positive_array = \ test_optim.generate_onward_transmission_with_tests(max_tests_proportion=1000/capacity_value) test_nparray = np.array(test_array)/100 fig, ax1 = plt.subplots() scenario_plot_name = None if scenario_name == 'Low_prev': scenario_plot_name = 'Outbreak response' if scenario_name == 'High_prev': scenario_plot_name = 'Community transmission' plt.title(f'{scenario_plot_name} scenario\ntest capacity = {capacity_value/100} per 1000, symptomatic presenting proportion = {symp_prop_value}') color = 'tab:blue' color = [0,0,.6] ax1.plot(test_nparray, 100*transmission_array/max(transmission_array), color=color) ax1.set_ylabel('Percentage of onwards transmission', color=color) ax1.set_xlabel('Number of tests per 1000') # min_transmission_tests = test_nparray[np.where(transmission_array==min(transmission_array))] # ax1.plot([min_transmission_tests]*2, [80,100],'k--') ax2 = ax1.twinx() color = [.25, .4, 0] ax2.plot([i/100 for i in test_array], 100*positive_array*np.array(test_array)/cases_high, color=color) ax2.set_ylabel('Percentage of infections identified', color=color) fig.tight_layout() # plt.xlabel('Number of tests per 1000') # plt.ylabel('Percentage reduction through contact tracing') # plt.legend(['Routine capacity 2 per 1000', 'Routine capacity 4 per 1000']) # axs[axs_current].set # axs[axs_current].plot([capacity_value/100]*2, [0, 45],'--r') plt.savefig(f'{base_figure_directory}/Supplement_figures/Cases_identified_transmission_{scenario_name}_capacity{capacity_value}_sympprop_{symp_prop_value}.png') # plt.show() if supplement_figure_non_quadratic: total_population = scenario.total_population # High prevelance onward_transmission_vector_high = \ plotting_code.make_onward_transmission_vector(*scenario.onward_transmission_high) test_prob_high = scenario.test_prob_high population_high, cases_high = \ plotting_code.make_population_tuple(num_close=scenario.pop_high[0], num_symp=scenario.pop_high[1], total_pop=total_population, presenting_proporition=1, probability_by_indication=test_prob_high) print(f'Daily infections = {cases_high}') # Low prevelance onward_transmission_vector_low = \ plotting_code.make_onward_transmission_vector(*scenario.onward_transmission_low) test_prob_low = scenario.test_prob_low population_low, cases_low = \ plotting_code.make_population_tuple(num_close=scenario.pop_low[0], num_symp=scenario.pop_low[1], total_pop=total_population, presenting_proporition=1, probability_by_indication=test_prob_low) print(f'Daily infections = {cases_low}') # priority_values = [True, False] priority_values = [False] capacity_values = [scenario.test_capacity_low, scenario.test_capacity_high] # symp_prop_values = [.5, 1] symp_prop_values = [.25, .5, .75] scenario_names = ['Low_prev', 'High_prev'] situation_dict = {'Low_prev': {'onward': onward_transmission_vector_low, 'pop': population_low, 'pre_prob': test_prob_low}, 'High_prev': {'onward': onward_transmission_vector_high, 'pop': population_high, 'pre_prob': test_prob_high} } priority_allocation_options = scenario.priority_order tat_function_list = ['quadratic', 'linear', 'exponential'] priority_value = priority_values[0] priority_order = priority_allocation_options[0] for capacity_value in capacity_values: for scenario_name in scenario_names: fig, axs = plt.subplots(1, 3, figsize=(14,8)) scenario_plot_name = None if scenario_name == 'Low_prev': scenario_plot_name = 'Outbreak response' if scenario_name == 'High_prev': scenario_plot_name = 'Community transmission' counter = itertools.count() for tat_function in tat_function_list: c_dict = situation_dict[scenario_name] test_optim = TestOptimisation(priority_queue=priority_value, onward_transmission=c_dict['onward'], population=c_dict['pop'], pre_test_probability=c_dict['pre_prob'], routine_capacity=capacity_value, symptomatic_testing_proportion=.5, test_prioritsation_by_indication=priority_order, tat_function=tat_function) test_array, transmission_array, positive_array = \ test_optim.generate_onward_transmission_with_tests(max_tests_proportion=1000/capacity_value) test_nparray = np.array(test_array)/100 c = next(counter) axs[c].set_title(f'{scenario_plot_name} scenario\ntest capacity = {capacity_value/100}, TAT function: {tat_function}') color = 'tab:blue' color = [0,0,.6] axs[c].plot(test_nparray, 100*transmission_array/max(transmission_array), color=color) if c == 0: axs[c].set_ylabel('Percentage of onwards transmission', color=color) axs[c].set_xlabel('Routine testing capacity, per 1000') # min_transmission_tests = test_nparray[np.where(transmission_array==min(transmission_array))] # ax1.plot([min_transmission_tests]*2, [80,100],'k--') # ax2 = ax1.twinx() # color = [.25, .4, 0] # ax2.plot([i/100 for i in test_array], 100*positive_array*np.array(test_array)/cases_high, color=color) # ax2.set_ylabel('Percentage of infections identified', color=color) # fig.tight_layout() # plt.xlabel('Number of tests per 1000') # plt.ylabel('Percentage reduction through contact tracing') # plt.legend(['Routine capacity 2 per 1000', 'Routine capacity 4 per 1000']) # axs[axs_current].set # axs[axs_current].plot([capacity_value/100]*2, [0, 45],'--r') plt.savefig(f'{base_figure_directory}/Supplement_figures/tat_function/Cases_identified_transmission_{scenario_name}_capacity{capacity_value}_tatfun_{tat_function}.png') # plt.show() if test_figure_area: total_population_size = 100000 percentage_pop_by_indication_cc_sympt = (0.1, 1) # population = (1000, 10000, 10000) population = (total_population_size*percentage_pop_by_indication_cc_sympt[0]/100, total_population_size*percentage_pop_by_indication_cc_sympt[1]/100, total_population_size*(100 - sum(percentage_pop_by_indication_cc_sympt))/100) pre_test_probability = (.3, .03, .003) onward_transmission = (2, 3, 1, .3) routine_capacity = 400 priority_capacity_proportion = .0 priority_queue = True routine_tat = 10 tat_at_fifty_percent_surge = 20 swab_delay = 1 symptomatic_testing_proportion = 1. test_prioritsation_by_indication = None test_optim = TestOptimisation(population=population, pre_test_probability=pre_test_probability, onward_transmission=onward_transmission, routine_capacity=routine_capacity, priority_capacity_proportion=priority_capacity_proportion, priority_queue=priority_queue, routine_tat=routine_tat, tat_at_fifty_percent_surge=tat_at_fifty_percent_surge, swab_delay=swab_delay, symptomatic_testing_proportion=symptomatic_testing_proportion, test_prioritsation_by_indication=test_prioritsation_by_indication) # test_optim.plot_turn_around_time() test_optim.plot_transmission_with_testing() if tat_figure: tat_list = [[1, 2], [2, 4]] test_optim_1 = TestOptimisation(routine_tat=tat_list[0][0], tat_at_fifty_percent_surge=tat_list[0][1], routine_capacity=100) test_optim_2 = TestOptimisation(routine_tat=tat_list[1][0], tat_at_fifty_percent_surge=tat_list[1][1], routine_capacity=100) plt.figure(figsize=(5, 4), dpi=400) test_optim_1.plot_turn_around_time(color=[.1,.7,.3]) test_optim_2.plot_turn_around_time(color=[.3,.2,.6]) plt.plot([100, 100], [0.3, 7.5], 'r--') plt.legend([f'Routine TAT = {rtat}, TAT at 50% surge = {stat}' for rtat, stat in tat_list] + ['Routine capacity = 100']) plt.ylim([0, 10]) plt.xlim([0, 200]) plt.savefig('MS_figures/TAT_figure.png') plt.show() plt.close() if kretzschmar_figure: plt.figure(figsize=(5, 4), dpi=400) test_optim = TestOptimisation(swab_delay=0) test_optim.plot_delay_effect_on_transmission(7) test_optim = TestOptimisation(swab_delay=1) test_optim.plot_delay_effect_on_transmission(7) test_optim = TestOptimisation(swab_delay=2) test_optim.plot_delay_effect_on_transmission(7) test_optim = TestOptimisation(swab_delay=3) test_optim.plot_delay_effect_on_transmission(7) plt.legend([f'Swab delay = {i}' for i in range(4)]) plt.xlabel('Turn around time (TAT)') plt.savefig('MS_figures/kretzschmar_results.png') plt.show() plt.close() if supplement_figure_stochastic_tat: total_population = scenario.total_population # High prevelance onward_transmission_vector_high = \ plotting_code.make_onward_transmission_vector(*scenario.onward_transmission_high) test_prob_high = scenario.test_prob_high population_high, cases_high = \ plotting_code.make_population_tuple(num_close=scenario.pop_high[0], num_symp=scenario.pop_high[1], total_pop=total_population, presenting_proporition=1, probability_by_indication=test_prob_high) print(f'Daily infections = {cases_high}') # Low prevelance onward_transmission_vector_low = \ plotting_code.make_onward_transmission_vector(*scenario.onward_transmission_low) test_prob_low = scenario.test_prob_low population_low, cases_low = \ plotting_code.make_population_tuple(num_close=scenario.pop_low[0], num_symp=scenario.pop_low[1], total_pop=total_population, presenting_proporition=1, probability_by_indication=test_prob_low) print(f'Daily infections = {cases_low}') # priority_values = [True, False] priority_values = [False] capacity_values = [scenario.test_capacity_high] # symp_prop_values = [.5, 1] symp_prop_values = [.5] scenario_names = ['High_prev'] situation_dict = { 'High_prev': {'onward': onward_transmission_vector_high, 'pop': population_high, 'pre_prob': test_prob_high} } stochastic_param_list = [['deterministic', 1, 1, 'Deterministic'], ['gamma', 100, 1, 'Gamma scale = 1'], ['gamma', 100, 2, 'Gamma scale = 5']] priority_allocation_options = scenario.priority_order fig, axs = plt.subplots(1, len(stochastic_param_list), figsize=(8,4)) axs_count = itertools.count() for priority_value in priority_values: for priority_order in priority_allocation_options: for capacity_value in capacity_values: for symp_prop_value in symp_prop_values: for scenario_name in scenario_names: c_dict = situation_dict[scenario_name] for stoch_param in stochastic_param_list: axs_current = next(axs_count) test_optim = TestOptimisation(priority_queue=priority_value, onward_transmission=c_dict['onward'], population=c_dict['pop'], pre_test_probability=c_dict['pre_prob'], routine_capacity=capacity_value, symptomatic_testing_proportion=symp_prop_value, test_prioritsation_by_indication=priority_order, stochastic_tat_dist=stoch_param[0], stochastic_tat_reps=stoch_param[1], gamma_scale_for_tat_dist=stoch_param[2]) test_array, transmission_array, positive_array = \ test_optim.generate_onward_transmission_with_tests(max_tests_proportion=1000/capacity_value) axs[axs_current].plot([i/100 for i in test_array], 100*transmission_array/max(transmission_array)) axs[axs_current].set(xlabel='Number of tests per 1000') if axs_current == 0: axs[axs_current].set(ylabel='Percentage of onward transmission') # axs[axs_current].legend(['Outbreak response', 'Community transmission']) # axs[axs_current].set axs[axs_current].plot([capacity_value/100]*2, [75, 100],'--r') axs[axs_current].title.set_text(stoch_param[3]) plt.savefig(f'{base_figure_directory}/Stochastic_TAT.png') plt.show() if supplement_figure_TAT_dist_hist: reps = 1000 binwidth = 1 fig, axs = plt.subplots(1, 3, figsize=(8, 4)) axs_count = itertools.count() for tat in (1,2,4): axs_current = next(axs_count) gamma_scale = 1 gamma_shape = tat/gamma_scale data = np.random.gamma(shape=gamma_shape, scale=gamma_scale, size=reps) axs[axs_current].hist(data, bins=np.arange(min(data), max(data) + binwidth, binwidth), alpha=.75) gamma_scale = 5 gamma_shape = tat/gamma_scale data = np.random.gamma(shape=gamma_shape, scale=gamma_scale, size=reps) axs[axs_current].hist(data, bins=np.arange(min(data), max(data) + binwidth, binwidth), alpha=.75) # gamma_scale = 0.2 # gamma_shape = tat/gamma_scale # data = np.random.gamma(shape=gamma_shape, # scale=gamma_scale, size=reps) # axs[axs_current].hist(data, bins=np.arange(min(data), max(data) + binwidth, binwidth), alpha=.75) axs[axs_current].legend(['Gamma scale = 1','Gamma scale = 5']) axs[axs_current].title.set_text(f'TAT = {tat}') if axs_current == 0: axs[axs_current].set(ylabel='Frequency') axs[axs_current].set(xlabel='Days') plt.savefig(f'{base_figure_directory}/TAT_hist.png') plt.show() if supplement_figure_swab_delay: total_population = scenario.total_population # High prevelance onward_transmission_vector_high = \ plotting_code.make_onward_transmission_vector(*scenario.onward_transmission_high) test_prob_high = scenario.test_prob_high population_high, cases_high = \ plotting_code.make_population_tuple(num_close=scenario.pop_high[0], num_symp=scenario.pop_high[1], total_pop=total_population, presenting_proporition=1, probability_by_indication=test_prob_high) print(f'Daily infections = {cases_high}') # Low prevelance onward_transmission_vector_low = \ plotting_code.make_onward_transmission_vector(*scenario.onward_transmission_low) test_prob_low = scenario.test_prob_low population_low, cases_low = \ plotting_code.make_population_tuple(num_close=scenario.pop_low[0], num_symp=scenario.pop_low[1], total_pop=total_population, presenting_proporition=1, probability_by_indication=test_prob_low) print(f'Daily infections = {cases_low}') # priority_values = [True, False] priority_values = [False] capacity_values = [scenario.test_capacity_high] # symp_prop_values = [.5, 1] symp_prop_values = [.5] scenario_names = ['High_prev'] situation_dict = { 'High_prev': {'onward': onward_transmission_vector_high, 'pop': population_high, 'pre_prob': test_prob_high} } swab_delay_list = [0, 1, 2] priority_allocation_options = scenario.priority_order fig, axs = plt.subplots(1, len(swab_delay_list), figsize=(8,4)) axs_count = itertools.count() for priority_value in priority_values: for priority_order in priority_allocation_options: for capacity_value in capacity_values: for symp_prop_value in symp_prop_values: for scenario_name in scenario_names: c_dict = situation_dict[scenario_name] for swab_delay in swab_delay_list: axs_current = next(axs_count) test_optim = TestOptimisation(priority_queue=priority_value, onward_transmission=c_dict['onward'], population=c_dict['pop'], pre_test_probability=c_dict['pre_prob'], routine_capacity=capacity_value, symptomatic_testing_proportion=symp_prop_value, test_prioritsation_by_indication=priority_order, swab_delay=swab_delay) test_array, transmission_array, positive_array = \ test_optim.generate_onward_transmission_with_tests(max_tests_proportion=1000/capacity_value) axs[axs_current].plot([i/100 for i in test_array], 100*transmission_array/max(transmission_array)) axs[axs_current].set(xlabel='Number of tests per 1000') if axs_current == 0: axs[axs_current].set(ylabel='Percentage of onward transmission') # axs[axs_current].legend(['Outbreak response', 'Community transmission']) # axs[axs_current].set axs[axs_current].plot([capacity_value/100]*2, [70, 100],'--r') axs[axs_current].title.set_text(f'Swab delay = {swab_delay}') plt.savefig(f'{base_figure_directory}/Swab_delay_vary.png') plt.show() if figure_vary_routine_capacity: total_population = scenario.total_population # High prevelance onward_transmission_vector_high = \ plotting_code.make_onward_transmission_vector(*scenario.onward_transmission_high) test_prob_high = scenario.test_prob_high population_high, cases_high = \ plotting_code.make_population_tuple(num_close=scenario.pop_high[0], num_symp=scenario.pop_high[1], total_pop=total_population, presenting_proporition=1, probability_by_indication=test_prob_high) print(f'Daily infections = {cases_high}') # Low prevelance onward_transmission_vector_low = \ plotting_code.make_onward_transmission_vector(*scenario.onward_transmission_low) test_prob_low = scenario.test_prob_low population_low, cases_low = \ plotting_code.make_population_tuple(num_close=scenario.pop_low[0], num_symp=scenario.pop_low[1], total_pop=total_population, presenting_proporition=1, probability_by_indication=test_prob_low) print(f'Daily infections = {cases_low}') # priority_values = [True, False] priority_values = [False] capacity_values = [scenario.test_capacity_high] # symp_prop_values = [.5, 1] symp_prop_values = [.5] scenario_names = ['Low_prev', 'High_prev'] situation_dict = {'Low_prev': {'onward': onward_transmission_vector_low, 'pop': population_low, 'pre_prob': test_prob_low}, 'High_prev': {'onward': onward_transmission_vector_high, 'pop': population_high, 'pre_prob': test_prob_high} } swab_delay = 1 priority_allocation_options = scenario.priority_order capacity_value_range = list(range(10,501,10)) fig, axs = plt.subplots(1, len(scenario_names), figsize=(8,4)) axs_count = itertools.count() for priority_value in priority_values: for priority_order in priority_allocation_options: for capacity_value in capacity_values: for symp_prop_value in symp_prop_values: for scenario_name in scenario_names: c_dict = situation_dict[scenario_name] min_transmission_list = [] for capacity_value in capacity_value_range: print(capacity_value) test_optim = TestOptimisation(priority_queue=priority_value, onward_transmission=c_dict['onward'], population=c_dict['pop'], pre_test_probability=c_dict['pre_prob'], routine_capacity=capacity_value, symptomatic_testing_proportion=symp_prop_value, test_prioritsation_by_indication=priority_order, swab_delay=swab_delay) if capacity_value < 100: test_array, transmission_array, positive_array = \ test_optim.generate_onward_transmission_with_tests(max_tests_proportion=2) min_transmission_list.append(min(transmission_array)) else: test_array, transmission_array, positive_array = \ test_optim.generate_onward_transmission_with_tests(max_tests_proportion=1.5) min_transmission_list.append(min(transmission_array)) axs_current = next(axs_count) min_transmission_array = np.array(min_transmission_list) axs[axs_current].plot([i/100 for i in capacity_value_range], 100*min_transmission_array/max(min_transmission_array)) axs[axs_current].set(xlabel='Testing capacity, per 1000') if axs_current == 0: axs[axs_current].set(ylabel='Percentage of onward transmission') # axs[axs_current].legend(['Outbreak response', 'Community transmission']) # axs[axs_current].set # axs[axs_current].plot([capacity_value/100]*2, [70, 100],'--r') ['Low_prev', 'High_prev'] title_text = 'Outbreak suppression' if scenario_name == 'Low_prev' else 'Community transmission' axs[axs_current].title.set_text(title_text) plt.savefig(f'{base_figure_directory}/Routine_capacity_vary.png') plt.show() pass
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7
61de0b4c894a0e4e818313f1ad2c364bf9a4a28c
120
py
Python
malcolm/comms/pva/__init__.py
dls-controls/github-publish-test
25f6ce1af28eff9930f65e4f2c9fb0474e0b570c
[ "Apache-2.0" ]
null
null
null
malcolm/comms/pva/__init__.py
dls-controls/github-publish-test
25f6ce1af28eff9930f65e4f2c9fb0474e0b570c
[ "Apache-2.0" ]
null
null
null
malcolm/comms/pva/__init__.py
dls-controls/github-publish-test
25f6ce1af28eff9930f65e4f2c9fb0474e0b570c
[ "Apache-2.0" ]
null
null
null
from malcolm.comms.pva.pvaclientcomms import PvaClientComms from malcolm.comms.pva.pvaservercomms import PvaServerComms
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8
61f9a3bd91ee3c22c63212af28181cdd96f45e7e
47
py
Python
src/mcs_tests/test_tobedeleted.py
Project-PmPy/pmpy
9e4a7d62e09ac020638bc8c1b955ad73beef2ed7
[ "MIT" ]
null
null
null
src/mcs_tests/test_tobedeleted.py
Project-PmPy/pmpy
9e4a7d62e09ac020638bc8c1b955ad73beef2ed7
[ "MIT" ]
null
null
null
src/mcs_tests/test_tobedeleted.py
Project-PmPy/pmpy
9e4a7d62e09ac020638bc8c1b955ad73beef2ed7
[ "MIT" ]
null
null
null
print(type(2)) print(type(2.1)) print(type([]))
15.666667
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7
1151c508ec1dd51713e18b60c6e345b3b66f2e45
31,485
py
Python
tests/integration/type_casting_test.py
gglin001/popart
3225214343f6d98550b6620e809a3544e8bcbfc6
[ "MIT" ]
61
2020-07-06T17:11:46.000Z
2022-03-12T14:42:51.000Z
tests/integration/type_casting_test.py
gglin001/popart
3225214343f6d98550b6620e809a3544e8bcbfc6
[ "MIT" ]
1
2021-02-25T01:30:29.000Z
2021-11-09T11:13:14.000Z
tests/integration/type_casting_test.py
gglin001/popart
3225214343f6d98550b6620e809a3544e8bcbfc6
[ "MIT" ]
6
2020-07-15T12:33:13.000Z
2021-11-07T06:55:00.000Z
# Copyright (c) 2019 Graphcore Ltd. All rights reserved. import numpy as np import popart import pytest import test_util as tu import torch import onnx from onnx import helper, numpy_helper, version_converter from onnx import AttributeProto, TensorProto, GraphProto from onnx.backend.base import Backend from onnx import numpy_helper def test_type_cast_UINT8ToINT32(): # Build an onnx proto with a single constant node # Create output tensors of the type to cast X = helper.make_tensor_value_info('X', TensorProto.UINT8, [3, 2]) Y = helper.make_tensor_value_info('Y', TensorProto.UINT8, [3, 2]) values = np.array([[1, 2], [3, 4], [5, 6]]).astype(np.uint8) # We use ConstantOfShape even if it is not followint the onnx # spec because we need an op that can store several actual values # in the graph to make sure the type conversion is succesful. Constant # would not work here becauseit has only been available since opset 12. # Constant-9 is not compatible with the default opset-version 11 node_def = onnx.helper.make_node('ConstantOfShape', inputs=['X'], outputs=['Y'], value=onnx.helper.make_tensor( name='const_tensor', data_type=onnx.TensorProto.UINT8, dims=values.shape, vals=values.flatten().astype( np.uint8).tobytes(), raw=True)) # Create the graph (GraphProto) graph_def = helper.make_graph( [node_def], 'test-model', [X], [Y], ) # Create the model (ModelProto) onnx_model = helper.make_model(graph_def) # Make sure the opset version is version 9 (by default it would be 11 # which would crash subsequent function calls) onnx_model = version_converter.convert_version(onnx_model, 9) # Compile the model to an onnx graph onnx.save_model(onnx_model, "type_test.onnx") # Load proto into a graph transfomer and apply cast graph_transformer = popart.GraphTransformer("type_test.onnx") graph_transformer.convertUINT8ToINT32() # Retrieve modeified graph proto proto = graph_transformer.getModelProto() popart.Builder(proto).saveModelProto("type_test_modified.onnx") # Load the model as an onnx model again # modified_onnx_model = onnx.load(proto) modified_onnx_model = onnx.load("type_test_modified.onnx") # Make sure the graph is still good onnx.checker.check_model(modified_onnx_model) # Get only the first input of the input array (there should only be one) i = modified_onnx_model.graph.input[0] o = modified_onnx_model.graph.output[0] input_type = i.type.tensor_type output_type = o.type.tensor_type # Make sure shapes remain untouched assert (input_type.HasField("shape") ), "Modified graph output has no shape attribute" assert (output_type.HasField("shape") ), "Modified graph output has no shape attribute" assert (input_type.shape.dim[0].dim_value == 3 ), "Dimensions were not conserved by cast" assert (input_type.shape.dim[1].dim_value == 2 ), "Dimensions were not conserved by cast" assert (output_type.shape.dim[0].dim_value == 3 ), "Dimensions were not conserved by cast" assert (output_type.shape.dim[1].dim_value == 2 ), "Dimensions were not conserved by cast" # Test whether the new tensor has the right size assert (len( modified_onnx_model.graph.node[0].attribute[0].t.int32_data) == len( onnx_model.graph.node[0].attribute[0].t.raw_data) ), "Wrong number of Bytes in casted version." # Retrieve the two constant tensors and compare the values assert np.allclose( modified_onnx_model.graph.node[0].attribute[0].t.int32_data, values.flatten()), "Data was not conserved by cast" def test_type_cast_UINT16ToINT32(): # Build an onnx proto with a single constant node # Create output tensors of the type to cast X = helper.make_tensor_value_info('X', TensorProto.UINT16, [3, 2]) Y = helper.make_tensor_value_info('Y', TensorProto.UINT16, [3, 2]) values = np.array([[1, 2], [3, 4], [5, 6]]).astype(np.uint16) node_def = onnx.helper.make_node('ConstantOfShape', inputs=['X'], outputs=['Y'], value=onnx.helper.make_tensor( name='const_tensor', data_type=onnx.TensorProto.UINT16, dims=values.shape, vals=values.flatten().astype( np.uint16).tobytes(), raw=True)) # Create the graph (GraphProto) graph_def = helper.make_graph( [node_def], 'test-model', [X], [Y], ) # Create the model (ModelProto) onnx_model = helper.make_model(graph_def) # Make sure the opset version is version 9 (by default it would be 11 # which would crash subsequent function calls) onnx_model = version_converter.convert_version(onnx_model, 9) # Compile the model to an onnx graph onnx.save_model(onnx_model, "type_test.onnx") # Load proto into a graph transfomer and apply cast graph_transformer = popart.GraphTransformer("type_test.onnx") graph_transformer.convertUINT16ToINT32() # Retrieve modeified graph proto proto = graph_transformer.getModelProto() popart.Builder(proto).saveModelProto("type_test_modified.onnx") # Load the model as an onnx model again # modified_onnx_model = onnx.load(proto) modified_onnx_model = onnx.load("type_test_modified.onnx") # Make sure the graph is still good onnx.checker.check_model(modified_onnx_model) # Get only the first input of the input array (there should only be one) i = modified_onnx_model.graph.input[0] o = modified_onnx_model.graph.output[0] input_type = i.type.tensor_type output_type = o.type.tensor_type # Make sure shapes remain untouched assert (input_type.HasField("shape") ), "Modified graph output has no shape attribute" assert (output_type.HasField("shape") ), "Modified graph output has no shape attribute" assert (input_type.shape.dim[0].dim_value == 3 ), "Dimensions were not conserved by cast" assert (input_type.shape.dim[1].dim_value == 2 ), "Dimensions were not conserved by cast" assert (output_type.shape.dim[0].dim_value == 3 ), "Dimensions were not conserved by cast" assert (output_type.shape.dim[1].dim_value == 2 ), "Dimensions were not conserved by cast" # Test whether the new tensor has the right size assert (2 * len( modified_onnx_model.graph.node[0].attribute[0].t.int32_data) == len( onnx_model.graph.node[0].attribute[0].t.raw_data) ), "Wrong number of Bytes in casted version." # Retrieve the two constant tensors and compare the values assert np.allclose( modified_onnx_model.graph.node[0].attribute[0].t.int32_data, values.flatten()), "Data was not conserved by cast" def test_type_cast_INT8ToINT32(): # Build an onnx proto with a single constant node # Create output tensors of the type to cast X = helper.make_tensor_value_info('X', TensorProto.INT8, [3, 2]) Y = helper.make_tensor_value_info('Y', TensorProto.INT8, [3, 2]) values = np.array([[1, 2], [3, 4], [5, 6]]).astype(np.uint8) node_def = onnx.helper.make_node('ConstantOfShape', inputs=['X'], outputs=['Y'], value=onnx.helper.make_tensor( name='const_tensor', data_type=onnx.TensorProto.INT8, dims=values.shape, vals=values.flatten().astype( np.int8).tobytes(), raw=True)) # Create the graph (GraphProto) graph_def = helper.make_graph( [node_def], 'test-model', [X], [Y], ) # Create the model (ModelProto) onnx_model = helper.make_model(graph_def) # Make sure the opset version is version 9 (by default it would be 11 # which would crash subsequent function calls) onnx_model = version_converter.convert_version(onnx_model, 9) # Compile the model to an onnx graph onnx.save_model(onnx_model, "type_test.onnx") # Load proto into a graph transfomer and apply cast graph_transformer = popart.GraphTransformer("type_test.onnx") graph_transformer.convertINT8ToINT32() # Retrieve modeified graph proto proto = graph_transformer.getModelProto() popart.Builder(proto).saveModelProto("type_test_modified.onnx") # Load the model as an onnx model again # modified_onnx_model = onnx.load(proto) modified_onnx_model = onnx.load("type_test_modified.onnx") # Make sure the graph is still good onnx.checker.check_model(modified_onnx_model) # Get only the first input of the input array (there should only be one) i = modified_onnx_model.graph.input[0] o = modified_onnx_model.graph.output[0] input_type = i.type.tensor_type output_type = o.type.tensor_type # Make sure shapes remain untouched assert (input_type.HasField("shape") ), "Modified graph output has no shape attribute" assert (output_type.HasField("shape") ), "Modified graph output has no shape attribute" assert (input_type.shape.dim[0].dim_value == 3 ), "Dimensions were not conserved by cast" assert (input_type.shape.dim[1].dim_value == 2 ), "Dimensions were not conserved by cast" assert (output_type.shape.dim[0].dim_value == 3 ), "Dimensions were not conserved by cast" assert (output_type.shape.dim[1].dim_value == 2 ), "Dimensions were not conserved by cast" # Test whether the new tensor has the right size assert (len( modified_onnx_model.graph.node[0].attribute[0].t.int32_data) == len( onnx_model.graph.node[0].attribute[0].t.raw_data) ), "Wrong number of Bytes in casted version." # Retrieve the two constant tensors and compare the values assert np.allclose( modified_onnx_model.graph.node[0].attribute[0].t.int32_data, values.flatten()), "Data was not conserved by cast" def test_type_cast_INT16ToINT32(): # Build an onnx proto with a single constant node # Create output tensors of the type to cast X = helper.make_tensor_value_info('X', TensorProto.INT16, [3, 2]) Y = helper.make_tensor_value_info('Y', TensorProto.INT16, [3, 2]) values = np.array([[1, 2], [3, 4], [5, 6]]).astype(np.int16) node_def = onnx.helper.make_node('ConstantOfShape', inputs=['X'], outputs=['Y'], value=onnx.helper.make_tensor( name='const_tensor', data_type=onnx.TensorProto.INT16, dims=values.shape, vals=values.flatten().astype( np.int16).tobytes(), raw=True)) # Create the graph (GraphProto) graph_def = helper.make_graph( [node_def], 'test-model', [X], [Y], ) # Create the model (ModelProto) onnx_model = helper.make_model(graph_def) # Make sure the opset version is version 9 (by default it would be 11 # which would crash subsequent function calls) onnx_model = version_converter.convert_version(onnx_model, 9) # Compile the model to an onnx graph onnx.save_model(onnx_model, "type_test.onnx") # Load proto into a graph transfomer and apply cast graph_transformer = popart.GraphTransformer("type_test.onnx") graph_transformer.convertINT16ToINT32() # Retrieve modeified graph proto proto = graph_transformer.getModelProto() popart.Builder(proto).saveModelProto("type_test_modified.onnx") # Load the model as an onnx model again # modified_onnx_model = onnx.load(proto) modified_onnx_model = onnx.load("type_test_modified.onnx") # Make sure the graph is still good onnx.checker.check_model(modified_onnx_model) # Get only the first input of the input array (there should only be one) i = modified_onnx_model.graph.input[0] o = modified_onnx_model.graph.output[0] input_type = i.type.tensor_type output_type = o.type.tensor_type # Make sure shapes remain untouched assert (input_type.HasField("shape") ), "Modified graph output has no shape attribute" assert (output_type.HasField("shape") ), "Modified graph output has no shape attribute" assert (input_type.shape.dim[0].dim_value == 3 ), "Dimensions were not conserved by cast" assert (input_type.shape.dim[1].dim_value == 2 ), "Dimensions were not conserved by cast" assert (output_type.shape.dim[0].dim_value == 3 ), "Dimensions were not conserved by cast" assert (output_type.shape.dim[1].dim_value == 2 ), "Dimensions were not conserved by cast" # Test whether the new tensor has the right size assert (2 * len( modified_onnx_model.graph.node[0].attribute[0].t.int32_data) == len( onnx_model.graph.node[0].attribute[0].t.raw_data) ), "Wrong number of Bytes in casted version." # Retrieve the two constant tensors and compare the values assert np.allclose( modified_onnx_model.graph.node[0].attribute[0].t.int32_data, values.flatten()), "Data was not conserved by cast" def test_type_cast_INT64ToINT32(): # Build an onnx proto with a single constant node # Create output tensors of the type to cast X = helper.make_tensor_value_info('X', TensorProto.INT64, [3, 2]) Y = helper.make_tensor_value_info('Y', TensorProto.INT64, [3, 2]) values = np.array([[1, 2], [3, 4], [5, 6]]).astype(np.int64) node_def = onnx.helper.make_node( 'ConstantOfShape', inputs=['X'], outputs=['Y'], value=onnx.helper.make_tensor(name='const_tensor', data_type=onnx.TensorProto.INT64, dims=values.shape, vals=values.flatten().astype(np.int64), raw=False)) # Create the graph (GraphProto) graph_def = helper.make_graph( [node_def], 'test-model', [X], [Y], ) # Create the model (ModelProto) onnx_model = helper.make_model(graph_def) # Make sure the opset version is version 9 (by default it would be 11 # which would crash subsequent function calls) onnx_model = version_converter.convert_version(onnx_model, 9) # Compile the model to an onnx graph onnx.save_model(onnx_model, "type_test.onnx") # Load proto into a graph transfomer and apply cast graph_transformer = popart.GraphTransformer("type_test.onnx") graph_transformer.convertINT64ToINT32() # Retrieve modeified graph proto proto = graph_transformer.getModelProto() popart.Builder(proto).saveModelProto("type_test_modified.onnx") # Load the model as an onnx model again # modified_onnx_model = onnx.load(proto) modified_onnx_model = onnx.load("type_test_modified.onnx") # Make sure the graph is still good onnx.checker.check_model(modified_onnx_model) # Get only the first input of the input array (there should only be one) i = modified_onnx_model.graph.input[0] o = modified_onnx_model.graph.output[0] input_type = i.type.tensor_type output_type = o.type.tensor_type # Make sure shapes remain untouched assert (input_type.HasField("shape") ), "Modified graph output has no shape attribute" assert (output_type.HasField("shape") ), "Modified graph output has no shape attribute" assert (input_type.shape.dim[0].dim_value == 3 ), "Dimensions were not conserved by cast" assert (input_type.shape.dim[1].dim_value == 2 ), "Dimensions were not conserved by cast" assert (output_type.shape.dim[0].dim_value == 3 ), "Dimensions were not conserved by cast" assert (output_type.shape.dim[1].dim_value == 2 ), "Dimensions were not conserved by cast" # Test whether the new tensor has the right amount of data in it assert (len( modified_onnx_model.graph.node[0].attribute[0].t.int32_data) == len( onnx_model.graph.node[0].attribute[0].t.int64_data) ), "Wrong number of Bytes in casted version." # Retrieve the two constant tensors and compare the values assert np.allclose( modified_onnx_model.graph.node[0].attribute[0].t.int32_data, values.flatten()), "Data was not conserved by cast" def test_type_cast_DoubleToHalf(): # Build an onnx proto with a single constant node # Create output tensors of the type to cast X = helper.make_tensor_value_info('X', TensorProto.DOUBLE, [3, 2]) Y = helper.make_tensor_value_info('Y', TensorProto.DOUBLE, [3, 2]) values = np.array([[0.1, 0.2], [0.3, 0.4], [0.5, 0.6]]).astype(np.double) node_def = onnx.helper.make_node( 'ConstantOfShape', inputs=['X'], outputs=['Y'], value=onnx.helper.make_tensor(name='const_tensor', data_type=onnx.TensorProto.DOUBLE, dims=values.shape, vals=values.flatten().astype(np.double), raw=False)) # Create the graph (GraphProto) graph_def = helper.make_graph( [node_def], 'test-model', [X], [Y], ) # Create the model (ModelProto) onnx_model = helper.make_model(graph_def) # Make sure the opset version is version 9 (by default it would be 11 # which would crash subsequent function calls) onnx_model = version_converter.convert_version(onnx_model, 9) # Compile the model to an onnx graph onnx.save_model(onnx_model, "type_test.onnx") # Load proto into a graph transfomer and apply cast graph_transformer = popart.GraphTransformer("type_test.onnx") graph_transformer.convertDoublesToHalfs() # Retrieve modeified graph proto proto = graph_transformer.getModelProto() popart.Builder(proto).saveModelProto("type_test_modified.onnx") # Load the model as an onnx model again # modified_onnx_model = onnx.load(proto) modified_onnx_model = onnx.load("type_test_modified.onnx") # Make sure the graph is still good onnx.checker.check_model(modified_onnx_model) # Get only the first input of the input array (there should only be one) i = modified_onnx_model.graph.input[0] o = modified_onnx_model.graph.output[0] input_type = i.type.tensor_type output_type = o.type.tensor_type # Make sure shapes remain untouched assert (input_type.HasField("shape") ), "Modified graph output has no shape attribute" assert (output_type.HasField("shape") ), "Modified graph output has no shape attribute" assert (input_type.shape.dim[0].dim_value == 3 ), "Dimensions were not conserved by cast" assert (input_type.shape.dim[1].dim_value == 2 ), "Dimensions were not conserved by cast" assert (output_type.shape.dim[0].dim_value == 3 ), "Dimensions were not conserved by cast" assert (output_type.shape.dim[1].dim_value == 2 ), "Dimensions were not conserved by cast" # Test whether the new tensor has the right size assert (len( modified_onnx_model.graph.node[0].attribute[0].t.raw_data) == 2 * len(onnx_model.graph.node[0].attribute[0].t.double_data) ), "Wrong number of Bytes in casted version." # Retrieve the two constant tensors and compare the values (note that even if numpy does some magic there, # normal cast from double to half will not be able to preserve correctly some values such as 0.3, hence the high rtol) assert np.allclose(np.frombuffer( modified_onnx_model.graph.node[0].attribute[0].t.raw_data, dtype=np.half), onnx_model.graph.node[0].attribute[0].t.double_data, rtol=1e-3), "Data was not conserved by cast" def test_type_cast_DoubleToFloat(): # Build an onnx proto with a single constant node # Create output tensors of the type to cast X = helper.make_tensor_value_info('X', TensorProto.DOUBLE, [3, 2]) Y = helper.make_tensor_value_info('Y', TensorProto.DOUBLE, [3, 2]) values = np.array([[0.1, 0.2], [0.3, 0.4], [0.5, 0.6]]).astype(np.double) node_def = onnx.helper.make_node( 'ConstantOfShape', inputs=['X'], outputs=['Y'], value=onnx.helper.make_tensor(name='const_tensor', data_type=onnx.TensorProto.DOUBLE, dims=values.shape, vals=values.flatten().astype(np.double), raw=False)) # Create the graph (GraphProto) graph_def = helper.make_graph( [node_def], 'test-model', [X], [Y], ) # Create the model (ModelProto) onnx_model = helper.make_model(graph_def) # Make sure the opset version is version 9 (by default it would be 11 # which would crash subsequent function calls) onnx_model = version_converter.convert_version(onnx_model, 9) # Compile the model to an onnx graph onnx.save_model(onnx_model, "type_test.onnx") # Load proto into a graph transfomer and apply cast graph_transformer = popart.GraphTransformer("type_test.onnx") graph_transformer.convertDoublesToFloats() # Retrieve modeified graph proto proto = graph_transformer.getModelProto() popart.Builder(proto).saveModelProto("type_test_modified.onnx") # Load the model as an onnx model again # modified_onnx_model = onnx.load(proto) modified_onnx_model = onnx.load("type_test_modified.onnx") # Make sure the graph is still good onnx.checker.check_model(modified_onnx_model) # Get only the first input of the input array (there should only be one) i = modified_onnx_model.graph.input[0] o = modified_onnx_model.graph.output[0] input_type = i.type.tensor_type output_type = o.type.tensor_type # Make sure shapes remain untouched assert (input_type.HasField("shape") ), "Modified graph output has no shape attribute" assert (output_type.HasField("shape") ), "Modified graph output has no shape attribute" assert (input_type.shape.dim[0].dim_value == 3 ), "Dimensions were not conserved by cast" assert (input_type.shape.dim[1].dim_value == 2 ), "Dimensions were not conserved by cast" assert (output_type.shape.dim[0].dim_value == 3 ), "Dimensions were not conserved by cast" assert (output_type.shape.dim[1].dim_value == 2 ), "Dimensions were not conserved by cast" # Test whether the new tensor has the right size assert (len( modified_onnx_model.graph.node[0].attribute[0].t.float_data) == len( onnx_model.graph.node[0].attribute[0].t.double_data) ), "Wrong number of Bytes in casted version." # Retrieve the two constant tensors and compare the values assert np.allclose( modified_onnx_model.graph.node[0].attribute[0].t.float_data, values.flatten()), "Data was not conserved by cast" def test_type_cast_BFloatToFloat(): # Build an onnx proto with a single constant node # Create output tensors of the type to cast X = helper.make_tensor_value_info('X', TensorProto.BFLOAT16, [3, 2]) Y = helper.make_tensor_value_info('Y', TensorProto.BFLOAT16, [3, 2]) # Define the target values as float32 and cast to bytes float_values = np.array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6]).astype(np.float32) float_bytes = float_values.tobytes() # Reinterpret byte string as int16 values. That way we have split the floats # in 2 sets of 16bits int16_values = np.frombuffer(float_bytes, dtype=np.uint16) # Keep only the second 2 bytes of each float (for some reason it seems # that np.array.tobytes() puts the fractional bytes first), ie every other int16 # and convert back to bytes. We should now have some bfloat which values # are close enough to the original floats (precision loss of around 5e-3) bfloat_as_int16 = int16_values[1::2] bfloat = bfloat_as_int16.tobytes() # This data is generated to check against to make sure that we actually get # the same "truncated" data with our method bfloat_values = np.frombuffer(bfloat, dtype=np.uint16) int16_from_bfloat = bfloat_values for i in range(6): int16_from_bfloat = np.insert(int16_from_bfloat, 5 - i, 0) float_again_bytes = np.array(int16_from_bfloat).tobytes() float_again = np.frombuffer(float_again_bytes, dtype=np.float32) node_def = onnx.helper.make_node('ConstantOfShape', inputs=['X'], outputs=['Y'], value=onnx.helper.make_tensor( name='const_tensor', data_type=onnx.TensorProto.BFLOAT16, dims=[3, 2], vals=bfloat, raw=True)) # Create the graph (GraphProto) graph_def = helper.make_graph( [node_def], 'test-model', [X], [Y], ) # Create the model (ModelProto) onnx_model = helper.make_model(graph_def) # Make sure the opset version is version 9 (by default it would be 11 # which would crash subsequent function calls) onnx_model = version_converter.convert_version(onnx_model, 9) # Compile the model to an onnx graph onnx.save_model(onnx_model, "type_test.onnx") # Load proto into a graph transfomer and apply cast graph_transformer = popart.GraphTransformer("type_test.onnx") graph_transformer.convertBFloats16ToFloat32() # Retrieve modeified graph proto proto = graph_transformer.getModelProto() popart.Builder(proto).saveModelProto("type_test_modified.onnx") # Load the model as an onnx model again # modified_onnx_model = onnx.load(proto) modified_onnx_model = onnx.load("type_test_modified.onnx") # Make sure the graph is still good onnx.checker.check_model(modified_onnx_model) # Get only the first input of the input array (there should only be one) i = modified_onnx_model.graph.input[0] o = modified_onnx_model.graph.output[0] input_type = i.type.tensor_type output_type = o.type.tensor_type # Make sure shapes remain untouched assert (input_type.HasField("shape") ), "Modified graph output has no shape attribute" assert (output_type.HasField("shape") ), "Modified graph output has no shape attribute" assert (input_type.shape.dim[0].dim_value == 3 ), "Dimensions were not conserved by cast" assert (input_type.shape.dim[1].dim_value == 2 ), "Dimensions were not conserved by cast" assert (output_type.shape.dim[0].dim_value == 3 ), "Dimensions were not conserved by cast" assert (output_type.shape.dim[1].dim_value == 2 ), "Dimensions were not conserved by cast" # Test whether the new tensor has the right size assert (len( modified_onnx_model.graph.node[0].attribute[0].t.float_data) == 6 ), "Wrong number of Bytes in casted version." # Retrieve the two constant tensors and compare the values assert np.allclose( modified_onnx_model.graph.node[0].attribute[0].t.float_data, float_values, rtol=1e-2), "Data was not conserved by cast" assert np.allclose( modified_onnx_model.graph.node[0].attribute[0].t.float_data, float_again), "Data was not conserved by cast" def test_type_cast_INT64ToINT32_clip(): """ The model: starts,ends,axes (int64) | t0 -----------.------- Slice -- t1 ------. | | indices ---- Gather ----------- t2 ----- Add - o (int64) - Gather takes two inputs: - Constant int64 'indices' - 't0'. A data input - It cannot be evaluated on host by the const expression util, as it takes a variable input - The IPU does not support int64. Therefore we must convert the int64 tensors of the onnx model to int32 - But conversion is only possible if all int64 tensor data is within the range of int32, unless we clip the tensor data to int32's numeric limits - In this case the 'starts' tensor of the slice is valid according to the onnxspec, but out of range of int32. - But we know in this case it is safe to clip it, as we will still get the same result """ d1 = np.array([[-1, -2, -3], [4, 5, 6], [7, 8, 9]]).astype(np.float32) d2 = np.array([0, 1]).astype(np.int64) axis = 0 axesV = np.array([0], dtype=np.int64) # Out of range value for int32! startsV = np.array([-9223372036854775807], dtype=np.int64) endsV = np.array([2], dtype=np.int64) builder = popart.Builder() i1 = builder.addInputTensor("FLOAT", d1.shape) i2 = builder.addInputTensor("INT64", d2.shape) g = builder.aiOnnx.gather([i1, i2], axis) axes = builder.aiOnnx.constant(axesV) starts = builder.aiOnnx.constant(startsV) ends = builder.aiOnnx.constant(endsV) s = builder.aiOnnx.slice([i1, starts, ends, axes]) o = builder.aiOnnx.add([g, s]) int64_proto = builder.getModelProto() graph_transformer = popart.GraphTransformer(int64_proto) graph_transformer.convertINT64ToINT32(clip=True) int32_proto = graph_transformer.getModelProto() session = popart.InferenceSession(fnModel=int32_proto, dataFlow=popart.DataFlow(1, [o]), deviceInfo=tu.create_test_device()) session.prepareDevice() anchors = session.initAnchorArrays() stepio = popart.PyStepIO({i1: d1, i2: d2}, anchors) session.run(stepio) reference = 2 * np.take(d1, d2, axis=axis) assert np.allclose(anchors[o], reference)
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fedc673ddbc0b9ca0dc8b385f8a4974260cbfd0b
5,003
py
Python
alfabeto.py
Graciella-Favoreto/Cinematica_em_Biomecanica
8d1373e1eb7368df89c03d74cb84a91434bcf73f
[ "MIT" ]
null
null
null
alfabeto.py
Graciella-Favoreto/Cinematica_em_Biomecanica
8d1373e1eb7368df89c03d74cb84a91434bcf73f
[ "MIT" ]
1
2022-01-10T12:52:13.000Z
2022-01-10T12:52:13.000Z
alfabeto.py
Graciella-Favoreto/Reconhecimento_Gestos_Alfabeto_Libras
8d1373e1eb7368df89c03d74cb84a91434bcf73f
[ "MIT" ]
null
null
null
A = ['polegar esticado vertical: afastado do indicador', 'indicador dobrado: proximo ao medio', 'medio dobrado: proximo ao anelar', 'anelar dobrado: proximo ao minimo', 'minimo dobrado: proximo ao anelar'] B = ['polegar dobrado: afastado do indicador', 'indicador esticado vertical: proximo ao medio', 'medio esticado vertical: proximo ao anelar', 'anelar esticado vertical: proximo ao minimo', 'minimo esticado vertical: proximo ao anelar'] C = ['polegar esticado horizontal: afastado do indicador', 'indicador esticado vertical: proximo ao medio', 'medio esticado vertical: proximo ao anelar', 'anelar esticado vertical: proximo ao minimo', 'minimo esticado vertical: proximo ao anelar'] D = ['polegar esticado horizontal: afastado do indicador', 'indicador esticado vertical: afastado do medio', 'medio dobrado: proximo ao anelar', 'anelar dobrado: proximo ao minimo', 'minimo dobrado: proximo ao anelar'] E = ['polegar dobrado: afastado do indicador', 'indicador dobrado: proximo ao medio', 'medio dobrado: proximo ao anelar', 'anelar dobrado: proximo ao minimo', 'minimo dobrado: proximo ao anelar'] F = ['polegar esticado vertical: proximo ao indicador', 'indicador esticado vertical: proximo ao medio', 'medio esticado vertical: afastado do anelar', 'anelar dobrado: proximo ao minimo', 'minimo dobrado: proximo ao anelar'] G = ['polegar esticado vertical: proximo ao indicador', 'indicador esticado vertical: afastado do medio', 'medio dobrado: proximo ao anelar', 'anelar dobrado: proximo ao minimo', 'minimo dobrado: proximo ao anelar'] I = ['polegar dobrado: proximo ao indicador', 'indicador dobrado: proximo ao medio', 'medio dobrado: proximo ao anelar', 'anelar dobrado: afastado do minimo', 'minimo esticado vertical: afastado do anelar'] L = ['polegar esticado vertical: afastado do indicador', 'indicador esticado vertical: afastado do medio', 'medio dobrado: proximo ao anelar', 'anelar dobrado: proximo ao minimo', 'minimo dobrado: proximo ao anelar'] M = ['polegar esticado vertical: proximo ao indicador', 'indicador esticado vertical: proximo ao medio', 'medio esticado vertical: proximo ao anelar', 'anelar esticado vertical: proximo ao minimo', 'minimo esticado vertical: proximo ao anelar'] N = ['polegar esticado horizontal: afastado do indicador', 'indicador esticado vertical: proximo ao medio', 'medio esticado vertical: afastado do anelar', 'anelar dobrado: proximo ao minimo', 'minimo dobrado: proximo ao anelar'] O = ['polegar esticado horizontal: afastado do indicador', 'indicador dobrado: proximo ao medio', 'medio dobrado: proximo ao anelar', 'anelar dobrado: proximo ao minimo', 'minimo dobrado: proximo ao anelar'] P = ['polegar esticado vertical: afastado do indicador', 'indicador esticado vertical: afastado do medio', 'medio esticado vertical: afastado do anelar', 'anelar dobrado: proximo ao minimo', 'minimo dobrado: proximo ao anelar'] Q = ['polegar esticado vertical: afastado do indicador', 'indicador esticado vertical: afastado do medio', 'medio dobrado: proximo ao anelar', 'anelar dobrado: afastado do minimo', 'minimo esticado vertical: afastado do anelar'] R = ['polegar dobrado: afastado do indicador', 'indicador esticado vertical: proximo ao medio', 'medio esticado vertical: afastado do anelar', 'anelar dobrado: proximo ao minimo', 'minimo dobrado: proximo ao anelar'] S = ['polegar dobrado: proximo ao indicador', 'indicador dobrado: proximo ao medio', 'medio dobrado: proximo ao anelar', 'anelar dobrado: proximo ao minimo', 'minimo dobrado: proximo ao anelar'] T = ['polegar esticado horizontal: afastado do indicador', 'indicador dobrado: afastado do medio', 'medio esticado vertical: proximo ao anelar', 'anelar esticado vertical: proximo ao minimo', 'minimo esticado vertical: proximo ao anelar'] U = ['polegar esticado horizontal: afastado do indicador', 'indicador esticado vertical: proximo ao medio', 'medio esticado vertical: afastado do anelar', 'anelar dobrado: proximo ao minimo', 'minimo dobrado: proximo ao anelar'] V = ['polegar esticado horizontal: afastado do indicador', 'indicador esticado vertical: afastado do medio', 'medio esticado vertical: afastado do anelar', 'anelar dobrado: proximo ao minimo', 'minimo dobrado: proximo ao anelar'] W = ['polegar esticado horizontal: afastado do indicador', 'indicador esticado vertical: afastado do medio', 'medio esticado vertical: proximo ao anelar', 'anelar esticado vertical: afastado do minimo', 'minimo dobrado: afastado do anelar'] letras = [A, B, C, D, E, F, G, I, L, M, N, O, P, Q, R, S, T, U, V, W] # não foram usadas as letras: H, J, K, X, ,Y , Z # devido ao movimento adicional para a execução correta das letras. # Estas letras podem ser analisadas em uma função diferente, semelhante a função de # análise de posicionamento do corpo, onde comparamos a transição entre pontos # Letra T: para o dedo polegar, devido a estar sobreposto pelo dedo indicador, o algoritmo não reconhece os pontos da ponta do dedo # Letra N e U se confundem
161.387097
248
0.758545
666
5,003
5.698198
0.121622
0.15415
0.177075
0.151515
0.886693
0.886693
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0.876943
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28bd8d978e8d0aadd7e9006c1b1a31f1d436b736
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py
Python
tally_ho/libs/utils/time.py
crononauta/tally-ho
ba2207bfaef27bee3ff13a393983ca493f767238
[ "Apache-2.0" ]
12
2015-09-07T17:12:42.000Z
2021-12-29T07:51:18.000Z
tally_ho/libs/utils/time.py
crononauta/tally-ho
ba2207bfaef27bee3ff13a393983ca493f767238
[ "Apache-2.0" ]
122
2018-09-18T04:05:39.000Z
2022-01-17T10:12:48.000Z
tally_ho/libs/utils/time.py
crononauta/tally-ho
ba2207bfaef27bee3ff13a393983ca493f767238
[ "Apache-2.0" ]
13
2015-06-06T17:32:34.000Z
2020-09-10T12:58:07.000Z
from datetime import datetime from django.utils.timezone import utc def now(): return datetime.utcnow().replace(tzinfo=utc)
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py
Python
midprice_profit_label/profit_evaluate/profit_evaluate_2010/overall_viz.py
anakinanakin/neural-network-on-finance-data
1842606294ca3d5dafa7387d6db95a1c21d323eb
[ "MIT" ]
1
2021-05-11T09:11:53.000Z
2021-05-11T09:11:53.000Z
midprice_profit_label/profit_evaluate/profit_evaluate_2010/overall_viz.py
anakinanakin/neural-network-on-finance-data
1842606294ca3d5dafa7387d6db95a1c21d323eb
[ "MIT" ]
null
null
null
midprice_profit_label/profit_evaluate/profit_evaluate_2010/overall_viz.py
anakinanakin/neural-network-on-finance-data
1842606294ca3d5dafa7387d6db95a1c21d323eb
[ "MIT" ]
1
2020-07-28T03:59:31.000Z
2020-07-28T03:59:31.000Z
import sys import numpy as np import pandas as pd import matplotlib.pyplot as plt from matplotlib.pyplot import figure from statistics import mean, median total_return = np.load('total_return.npy') trade_time = np.load('trade_time.npy') def sharpe_ratio(total_return, trade_time, data_type): for k in range(20): if data_type == 1: data_list = total_return[:,k,:]-trade_time[:,k,:]*1 elif data_type == 2: data_list = total_return[:,k,:]-trade_time[:,k,:]*2 elif data_type == 3: data_list = total_return[:,k,:]-trade_time[:,k,:]*3 else: sys.exit("type incorrect") print(len(data_list)) print(data_list) def draw_k(total_return, trade_time, data_type): total = [] avg_list = [np.nan] med_list = [np.nan] zero_list = [np.nan] for k in range(20): if data_type == 1: data_list = trade_time[:,k,:] elif data_type == 2: data_list = total_return[:,k,:] elif data_type == 3: data_list = total_return[:,k,:]/trade_time[:,k,:] elif data_type == 4: data_list = total_return[:,k,:]-trade_time[:,k,:]*1 elif data_type == 5: data_list = total_return[:,k,:]-trade_time[:,k,:]*2 elif data_type == 6: data_list = total_return[:,k,:]-trade_time[:,k,:]*3 else: sys.exit("type incorrect") trade_time_month = [] for column in range(len(data_list[0,:])): trade_time_month = trade_time_month + [sum(row[column] for row in data_list)] # print(len(trade_time_month)) #print(trade_time_month) avg = mean(trade_time_month) med = median(trade_time_month) total = total + [trade_time_month] avg_list = avg_list + [avg] med_list = med_list + [med] zero_list = zero_list + [0] return total, avg_list, med_list, zero_list def draw_threshold(total_return, trade_time, data_type): total = [] avg_list = [np.nan] med_list = [np.nan] zero_list = [np.nan] for th in range(24): if data_type == 1: data_list = trade_time[:,:,th] elif data_type == 2: data_list = total_return[:,:,th] elif data_type == 3: data_list = total_return[:,:,th]/trade_time[:,:,th] elif data_type == 4: data_list = total_return[:,:,th]-trade_time[:,:,th]*1 elif data_type == 5: data_list = total_return[:,:,th]-trade_time[:,:,th]*2 elif data_type == 6: data_list = total_return[:,:,th]-trade_time[:,:,th]*3 else: sys.exit("type incorrect") trade_time_month = [] for column in range(len(data_list[0,:])): trade_time_month = trade_time_month + [sum(row[column] for row in data_list)] # print(len(trade_time_month)) #print(trade_time_month) avg = mean(trade_time_month) med = median(trade_time_month) total = total + [trade_time_month] avg_list = avg_list + [avg] med_list = med_list + [med] zero_list = zero_list + [0] return total, avg_list, med_list, zero_list def draw_day(total_return, trade_time, data_type): total = [] avg_list = [np.nan] med_list = [np.nan] zero_list = [np.nan] with open('dt_all.txt', 'r') as f: dates = f.readlines() for index, date in enumerate(dates): if data_type == 1: data_list = trade_time[index,:,:] elif data_type == 2: data_list = total_return[index,:,:] elif data_type == 3: data_list = total_return[index,:,:]/trade_time[index,:,:] elif data_type == 4: data_list = total_return[index,:,:]-trade_time[index,:,:]*1 elif data_type == 5: data_list = total_return[index,:,:]-trade_time[index,:,:]*2 elif data_type == 6: data_list = total_return[index,:,:]-trade_time[index,:,:]*3 else: sys.exit("type incorrect") trade_time_month = list() # print(len(data_list)) # print(len(data_list[0,:])) # print(data_list) for l in data_list: # trade_time_month = trade_time_month + [sum(row[column] for row in data_list)] #plot every point, no aggregation trade_time_month.extend(l) #print(trade_time_month) # print(len(trade_time_month)) #print(trade_time_month) avg = mean(trade_time_month) med = median(trade_time_month) total = total + [trade_time_month] avg_list = avg_list + [avg] med_list = med_list + [med] zero_list = zero_list + [0] return total, avg_list, med_list, zero_list def plot_by_k(): plt.rcParams.update({'font.size': 20}) figure(figsize=(80,32), dpi=80) plt.suptitle('2010/06 K') total_trade_time, avg_list , med_list, zero_list = draw_k(total_return, trade_time, 1) plt.subplot(231) plt.title('#Trades') plt.plot(avg_list) plt.plot(med_list) plt.plot(zero_list) plt.legend(['Average', 'Median', 'Zero']) plt.boxplot(total_trade_time) plt.xticks(np.arange(1, 21, step=1), (str((i+1)*10) for i in range(20))) plt.xlabel('K') plt.ylabel('#Trades') #plt.show() # plt.savefig('#Trades.png') # plt.clf() total_trade_return, avg_list , med_list, zero_list = draw_k(total_return, trade_time, 2) plt.subplot(232) plt.title('Total Profit') plt.plot(avg_list) plt.plot(med_list) plt.plot(zero_list) plt.legend(['Average', 'Median', 'Zero']) plt.boxplot(total_trade_return) plt.xticks(np.arange(1, 21, step=1), (str((i+1)*10) for i in range(20))) plt.xlabel('K') plt.ylabel('Profit') #plt.show() # plt.savefig('total_profit.png') # plt.clf() total_avg_return, avg_list , med_list, zero_list = draw_k(total_return, trade_time, 3) plt.subplot(233) plt.title('Average Profit') plt.plot(avg_list) plt.plot(med_list) plt.plot(zero_list) plt.legend(['Average', 'Median', 'Zero']) plt.boxplot(total_avg_return) plt.xticks(np.arange(1, 21, step=1), (str((i+1)*10) for i in range(20))) plt.xlabel('K') plt.ylabel('Profit') #plt.show() # plt.savefig('average_profit.png') # plt.clf() total_cost_return1, avg_list , med_list, zero_list = draw_k(total_return, trade_time, 4) plt.subplot(234) plt.title('Profit with cost bp1') plt.plot(avg_list) plt.plot(med_list) plt.plot(zero_list) plt.legend(['Average', 'Median', 'Zero']) plt.boxplot(total_cost_return1) plt.xticks(np.arange(1, 21, step=1), (str((i+1)*10) for i in range(20))) plt.xlabel('K') plt.ylabel('Profit') #plt.show() # plt.savefig('profit_cost1.png') # plt.clf() total_cost_return2, avg_list , med_list, zero_list = draw_k(total_return, trade_time, 5) plt.subplot(235) plt.title('Profit with cost bp2') plt.plot(avg_list) plt.plot(med_list) plt.plot(zero_list) plt.legend(['Average', 'Median', 'Zero']) plt.boxplot(total_cost_return2) plt.xticks(np.arange(1, 21, step=1), (str((i+1)*10) for i in range(20))) plt.xlabel('K') plt.ylabel('Profit') #plt.show() # plt.savefig('profit_cost2.png') # plt.clf() total_cost_return3, avg_list , med_list, zero_list = draw_k(total_return, trade_time, 6) plt.subplot(236) plt.title('Profit with cost bp3') plt.plot(avg_list) plt.plot(med_list) plt.plot(zero_list) plt.legend(['Average', 'Median', 'Zero']) plt.boxplot(total_cost_return3) plt.xticks(np.arange(1, 21, step=1), (str((i+1)*10) for i in range(20))) plt.xlabel('K') plt.ylabel('Profit') #plt.show() plt.savefig('201006_k.png') plt.clf() def plot_by_threshold(): plt.rcParams.update({'font.size': 20}) figure(figsize=(80,32), dpi=80) plt.suptitle('2010/06 Threshold') total_trade_time, avg_list , med_list, zero_list = draw_threshold(total_return, trade_time, 1) plt.subplot(231) plt.title('#Trades') plt.plot(avg_list) plt.plot(med_list) plt.plot(zero_list) plt.legend(['Average', 'Median', 'Zero']) plt.boxplot(total_trade_time) plt.xticks(np.arange(1, 25, step=1), (str(i+2) for i in range(24))) plt.xlabel('Threshold') plt.ylabel('#Trades') #plt.show() # plt.savefig('#Trades.png') # plt.clf() total_trade_return, avg_list , med_list, zero_list = draw_threshold(total_return, trade_time, 2) plt.subplot(232) plt.title('Total Profit') plt.plot(avg_list) plt.plot(med_list) plt.plot(zero_list) plt.legend(['Average', 'Median', 'Zero']) plt.boxplot(total_trade_return) plt.xticks(np.arange(1, 25, step=1), (str(i+2) for i in range(24))) plt.xlabel('Threshold') plt.ylabel('Profit') #plt.show() # plt.savefig('total_profit.png') # plt.clf() total_avg_return, avg_list , med_list, zero_list = draw_threshold(total_return, trade_time, 3) plt.subplot(233) plt.title('Average Profit') plt.plot(avg_list) plt.plot(med_list) plt.plot(zero_list) plt.legend(['Average', 'Median', 'Zero']) plt.boxplot(total_avg_return) plt.xticks(np.arange(1, 25, step=1), (str(i+2) for i in range(24))) plt.xlabel('Threshold') plt.ylabel('Profit') #plt.show() # plt.savefig('average_profit.png') # plt.clf() total_cost_return1, avg_list , med_list, zero_list = draw_threshold(total_return, trade_time, 4) plt.subplot(234) plt.title('Profit with cost bp1') plt.plot(avg_list) plt.plot(med_list) plt.plot(zero_list) plt.legend(['Average', 'Median', 'Zero']) plt.boxplot(total_cost_return1) plt.xticks(np.arange(1, 25, step=1), (str(i+2) for i in range(24))) plt.xlabel('Threshold') plt.ylabel('Profit') #plt.show() # plt.savefig('profit_cost1.png') # plt.clf() total_cost_return2, avg_list , med_list, zero_list = draw_threshold(total_return, trade_time, 5) plt.subplot(235) plt.title('Profit with cost bp2') plt.plot(avg_list) plt.plot(med_list) plt.plot(zero_list) plt.legend(['Average', 'Median', 'Zero']) plt.boxplot(total_cost_return2) plt.xticks(np.arange(1, 25, step=1), (str(i+2) for i in range(24))) plt.xlabel('Threshold') plt.ylabel('Profit') #plt.show() # plt.savefig('profit_cost2.png') # plt.clf() total_cost_return3, avg_list , med_list, zero_list = draw_threshold(total_return, trade_time, 6) plt.subplot(236) plt.title('Profit with cost bp3') plt.plot(avg_list) plt.plot(med_list) plt.plot(zero_list) plt.legend(['Average', 'Median', 'Zero']) plt.boxplot(total_cost_return3) plt.xticks(np.arange(1, 25, step=1), (str(i+2) for i in range(24))) plt.xlabel('Threshold') plt.ylabel('Profit') #plt.show() plt.savefig('201006_threshold.png') plt.clf() def plot_by_day(): figure(figsize=(200,80), dpi=80) plt.rcParams.update({'font.size': 35}) plt.suptitle('2010 Price all') # plt.subplots_adjust(wspace=0.5) # plt.subplots_adjust(hspace=0.5) total_trade_time, avg_list, med_list, zero_list = draw_day(total_return, trade_time, 1) days = len(avg_list) plt.subplot(231) plt.title('#Trades') plt.plot(avg_list) plt.plot(med_list) plt.plot(zero_list) plt.legend(['Average', 'Median', 'Zero']) plt.boxplot(total_trade_time) plt.xticks(np.arange(1, 260, step=20), (str(i*20+1) for i in range(days))) plt.xlabel('Day') plt.ylabel('#Trades') total_trade_return, avg_list, med_list, zero_list = draw_day(total_return, trade_time, 2) plt.subplot(232) plt.title('Total Profit') plt.plot(avg_list) plt.plot(med_list) plt.plot(zero_list) plt.legend(['Average', 'Median', 'Zero']) plt.boxplot(total_trade_return) plt.xticks(np.arange(1, 260, step=20), (str(i*20+1) for i in range(days))) plt.xlabel('Day') plt.ylabel('Profit') total_avg_return, avg_list, med_list, zero_list = draw_day(total_return, trade_time, 3) plt.subplot(233) plt.title('Average Profit') plt.plot(avg_list) plt.plot(med_list) plt.plot(zero_list) plt.legend(['Average', 'Median', 'Zero']) plt.boxplot(total_avg_return) plt.xticks(np.arange(1, 260, step=20), (str(i*20+1) for i in range(days))) plt.xlabel('Day') plt.ylabel('Profit') total_cost_return1, avg_list, med_list, zero_list = draw_day(total_return, trade_time, 4) plt.subplot(234) plt.title('Profit with cost bp1') plt.plot(avg_list) plt.plot(med_list) plt.plot(zero_list) plt.legend(['Average', 'Median', 'Zero']) plt.boxplot(total_cost_return1) plt.xticks(np.arange(1, 260, step=20), (str(i*20+1) for i in range(days))) plt.xlabel('Day') plt.ylabel('Profit') total_cost_return2, avg_list, med_list, zero_list = draw_day(total_return, trade_time, 5) plt.subplot(235) plt.title('Profit with cost bp2') plt.plot(avg_list) plt.plot(med_list) plt.plot(zero_list) plt.legend(['Average', 'Median', 'Zero']) plt.boxplot(total_cost_return2) plt.xticks(np.arange(1, 260, step=20), (str(i*20+1) for i in range(days))) plt.xlabel('Day') plt.ylabel('Profit') total_cost_return3, avg_list, med_list, zero_list = draw_day(total_return, trade_time, 6) plt.subplot(236) plt.title('Profit with cost bp3') plt.plot(avg_list) plt.plot(med_list) plt.plot(zero_list) plt.legend(['Average', 'Median', 'Zero']) plt.boxplot(total_cost_return3) plt.xticks(np.arange(1, 260, step=20), (str(i*20+1) for i in range(days))) plt.xlabel('Day') plt.ylabel('Profit') plt.savefig('price_all.png') def plot_heatmap(): plt.rcParams.update({'font.size': 20}) figure(figsize=(80,32), dpi=80) plt.suptitle('2010/01~06') total_trade_time, avg_list , med_list, zero_list = draw_k(total_return, trade_time, 1) plt.subplot(231) plt.title('#Trades') plt.imshow(total_trade_time,cmap='YlOrRd') plt.colorbar() plt.xticks(np.arange(0, 51, step=5), (str((i*5)) for i in range(51))) plt.yticks(np.arange(0, 20, step=1), (str((i+1)*10) for i in range(20))) plt.xlabel('Threshold') plt.ylabel('K') total_trade_return, avg_list , med_list, zero_list = draw_k(total_return, trade_time, 2) plt.subplot(232) plt.title('Total Profit') plt.imshow(total_trade_return,cmap='YlOrRd') plt.colorbar() plt.xticks(np.arange(0, 51, step=5), (str((i*5)) for i in range(51))) plt.yticks(np.arange(0, 20, step=1), (str((i+1)*10) for i in range(20))) plt.xlabel('Threshold') plt.ylabel('K') total_avg_return, avg_list , med_list, zero_list = draw_k(total_return, trade_time, 3) plt.subplot(233) plt.title('Average Profit') plt.imshow(total_avg_return,cmap='YlOrRd') plt.colorbar() plt.xticks(np.arange(0, 51, step=5), (str((i*5)) for i in range(51))) plt.yticks(np.arange(0, 20, step=1), (str((i+1)*10) for i in range(20))) plt.xlabel('Threshold') plt.ylabel('K') total_cost_return1, avg_list , med_list, zero_list = draw_k(total_return, trade_time, 4) plt.subplot(234) plt.title('Profit with cost bp1') plt.imshow(total_cost_return1,cmap='tab20c') plt.colorbar() plt.xticks(np.arange(0, 51, step=5), (str((i*5)) for i in range(51))) plt.yticks(np.arange(0, 20, step=1), (str((i+1)*10) for i in range(20))) plt.xlabel('Threshold') plt.ylabel('K') total_cost_return2, avg_list , med_list, zero_list = draw_k(total_return, trade_time, 5) plt.subplot(235) plt.title('Profit with cost bp2') plt.imshow(total_cost_return2,cmap='tab20c') plt.colorbar() plt.xticks(np.arange(0, 51, step=5), (str((i*5)) for i in range(51))) plt.yticks(np.arange(0, 20, step=1), (str((i+1)*10) for i in range(20))) plt.xlabel('Threshold') plt.ylabel('K') total_cost_return3, avg_list , med_list, zero_list = draw_k(total_return, trade_time, 6) plt.subplot(236) plt.title('Profit with cost bp3') plt.imshow(total_cost_return3,cmap='tab20c') plt.colorbar() plt.xticks(np.arange(0, 51, step=5), (str((i*5)) for i in range(51))) plt.yticks(np.arange(0, 20, step=1), (str((i+1)*10) for i in range(20))) plt.xlabel('Threshold') plt.ylabel('K') plt.savefig('201001~06_heatmap.png') plt.clf() def plot_contour(): total_cost_return1, avg_list , med_list, zero_list = draw_k(total_return, trade_time, 4) plt.title('Profit with cost bp1') # plt.imshow(total_cost_return1,cmap='tab20c') # plt.colorbar() c = plt.contour(total_cost_return1, levels=20) # plt.clabel(c, inline=True, fmt='%1.0f') plt.colorbar() plt.xticks(np.arange(0, 51, step=5), (str((i*5)) for i in range(51))) plt.yticks(np.arange(0, 20, step=1), (str((i+1)*10) for i in range(20))) plt.xlabel('Threshold') plt.ylabel('K') plt.savefig('contour.png') if __name__ == '__main__': #plot_by_k() #plot_by_threshold() #plot_by_day() #draw_day(total_return, trade_time, 1) # plot_heatmap() plot_contour() #sharpe_ratio(total_return, trade_time, 1)
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e909a177667ffa1fe4c626dfd2bc79cada75d434
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py
Python
src/pyc/__main__.py
ahojukka5/pyc
9c75dd76073d70b155c77624edd32d87c7911276
[ "MIT" ]
2
2021-02-07T06:20:34.000Z
2021-02-07T06:22:54.000Z
src/pyc/__main__.py
ahojukka5/pyc
9c75dd76073d70b155c77624edd32d87c7911276
[ "MIT" ]
null
null
null
src/pyc/__main__.py
ahojukka5/pyc
9c75dd76073d70b155c77624edd32d87c7911276
[ "MIT" ]
null
null
null
import sys from .cli import compile_and_run sys.exit(compile_and_run())
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e925c2dcf746121cf0e780e2c04c07f305b5b8a9
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py
Python
calib/corner_kernels.py
Algomorph/cvcalib
4ed638ea523b6d1059556a135576c7afa3a4b07f
[ "Apache-2.0" ]
28
2016-07-15T09:03:57.000Z
2022-02-07T11:13:26.000Z
calib/corner_kernels.py
Algomorph/calib_video_opencv
4ed638ea523b6d1059556a135576c7afa3a4b07f
[ "Apache-2.0" ]
58
2018-12-19T16:57:38.000Z
2019-06-06T19:52:36.000Z
calib/corner_kernels.py
Algomorph/calib_video_opencv
4ed638ea523b6d1059556a135576c7afa3a4b07f
[ "Apache-2.0" ]
10
2016-12-31T00:07:12.000Z
2022-03-10T21:49:25.000Z
import numpy as np KERN_UL = np.array([[5, 11, 20, 29, 37, 0, 0, 0, 0, 0, 0], [11, 23, 40, 60, 77, 0, 0, 0, 0, 0, 0], [20, 40, 71, 106, 134, 0, 0, 0, 0, 0, 0], [29, 60, 106, 158, 201, 0, 0, 0, 0, 0, 0], [37, 77, 134, 201, 255, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], dtype=np.uint8) KERN_UR = np.array([[0, 0, 0, 0, 0, 0, 37, 29, 20, 11, 5], [0, 0, 0, 0, 0, 0, 77, 60, 40, 23, 11], [0, 0, 0, 0, 0, 0, 134, 106, 71, 40, 20], [0, 0, 0, 0, 0, 0, 201, 158, 106, 60, 29], [0, 0, 0, 0, 0, 0, 255, 201, 134, 77, 37], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], dtype=np.uint8) KERN_BL = np.array([[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [37, 77, 134, 201, 255, 0, 0, 0, 0, 0, 0], [29, 60, 106, 158, 201, 0, 0, 0, 0, 0, 0], [20, 40, 71, 106, 134, 0, 0, 0, 0, 0, 0], [11, 23, 40, 60, 77, 0, 0, 0, 0, 0, 0], [5, 11, 20, 29, 37, 0, 0, 0, 0, 0, 0]], dtype=np.uint8) KERN_BR = np.array([[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 255, 201, 134, 77, 37], [0, 0, 0, 0, 0, 0, 201, 158, 106, 60, 29], [0, 0, 0, 0, 0, 0, 134, 106, 71, 40, 20], [0, 0, 0, 0, 0, 0, 77, 60, 40, 23, 11], [0, 0, 0, 0, 0, 0, 37, 29, 20, 11, 5]], dtype=np.uint8) KERN_L = np.array([[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [18, 37, 0, 0, 0, 0, 0, 0, 0, 0, 0], [27, 56, 98, 0, 0, 0, 0, 0, 0, 0, 0], [35, 71, 124, 185, 0, 0, 0, 0, 0, 0, 0], [37, 77, 134, 201, 255, 0, 0, 0, 0, 0, 0], [35, 71, 124, 185, 0, 0, 0, 0, 0, 0, 0], [27, 56, 98, 0, 0, 0, 0, 0, 0, 0, 0], [18, 37, 0, 0, 0, 0, 0, 0, 0, 0, 0], [10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], dtype=np.uint8) KERN_R = np.array([[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10], [0, 0, 0, 0, 0, 0, 0, 0, 0, 37, 18], [0, 0, 0, 0, 0, 0, 0, 0, 98, 56, 27], [0, 0, 0, 0, 0, 0, 0, 185, 124, 71, 35], [0, 0, 0, 0, 0, 0, 255, 201, 134, 77, 37], [0, 0, 0, 0, 0, 0, 0, 185, 124, 71, 35], [0, 0, 0, 0, 0, 0, 0, 0, 98, 56, 27], [0, 0, 0, 0, 0, 0, 0, 0, 0, 37, 18], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], dtype=np.uint8) KERN_U = np.array([[0, 10, 18, 27, 35, 37, 35, 27, 18, 10, 0], [0, 0, 37, 56, 71, 77, 71, 56, 37, 0, 0], [0, 0, 0, 98, 124, 134, 124, 98, 0, 0, 0], [0, 0, 0, 0, 185, 201, 185, 0, 0, 0, 0], [0, 0, 0, 0, 0, 255, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], dtype=np.uint8) KERN_B = np.array([[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 255, 0, 0, 0, 0, 0], [0, 0, 0, 0, 185, 201, 185, 0, 0, 0, 0], [0, 0, 0, 98, 124, 134, 124, 98, 0, 0, 0], [0, 0, 37, 56, 71, 77, 71, 56, 37, 0, 0], [0, 10, 18, 27, 35, 37, 35, 27, 18, 10, 0]], dtype=np.uint8) KERNELS_PROTOTYPE_STRAIGHT = [KERN_UR, KERN_BL, KERN_UL, KERN_BR] KERNELS_PROTOTYPE_DIAGONAL = [KERN_U, KERN_B, KERN_R, KERN_L] CORNER_KERNEL_PROTOTYPES = [KERNELS_PROTOTYPE_STRAIGHT, KERNELS_PROTOTYPE_DIAGONAL]
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0.852849
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13
3af1fa9551b876029cdf6e617e30544bc2c33838
7,850
py
Python
test/test_more_bisect.py
kkew3/more_bisect
7c9f0508bf2e617a0e761d1571fc3c0f7549927f
[ "MIT" ]
null
null
null
test/test_more_bisect.py
kkew3/more_bisect
7c9f0508bf2e617a0e761d1571fc3c0f7549927f
[ "MIT" ]
null
null
null
test/test_more_bisect.py
kkew3/more_bisect
7c9f0508bf2e617a0e761d1571fc3c0f7549927f
[ "MIT" ]
null
null
null
import pytest import more_bisect def test__validate_args(): a, lo, hi = more_bisect._validate_args([1, 2], None, None, None) assert lo == 0 assert hi == 2 assert a[0] == 1 and a[1] == 2 with pytest.raises(IndexError): _ = a[2] a, lo, hi = more_bisect._validate_args([('a', 1), ('a', 2)], None, 1, key=lambda x: x[1]) assert lo == 0 assert hi == 1 assert a[0] == 1 and a[1] == 2 with pytest.raises(IndexError): _ = a[2] a = [1, 2] a_, lo, hi = more_bisect._validate_args(None, 0, 1, lambda i: a[i]) assert lo == 0 assert hi == 1 assert a_[0] == 1 and a_[1] == 2 with pytest.raises(IndexError): _ = a_[2] a = [('a', 1), ('a', 2)] a_, lo, hi = more_bisect._validate_args(None, 0, 1, lambda i: a[i][1]) assert lo == 0 assert hi == 1 assert a_[0] == 1 and a_[1] == 2 with pytest.raises(IndexError): _ = a_[2] def revlst(x): return list(reversed(x)) def test_first_pos_eq(): a = [1, 3, 3, 3, 3, 4, 5, 6, 7, 8, 9, 10] pos = more_bisect.first_pos_eq(3, a) assert pos == 1 pos = more_bisect.first_pos_eq(-3, revlst(a), key=lambda x: -x) assert pos == 7 a = [2, 3] assert more_bisect.first_pos_eq(3, a) == 1 a = [3, 4] assert more_bisect.first_pos_eq(3, a) == 0 a = [] assert more_bisect.first_pos_eq(3, a) is None a = [1, 4, 5, 6, 7, 8, 9, 10] assert more_bisect.first_pos_eq(3, a) is None def test_first_pos_eq_called_with_fakearray(): a = [1, 3, 3, 3, 3, 4, 5, 6, 7, 8, 9, 10] pos = more_bisect.first_pos_eq(3, lo=0, hi=len(a), key=lambda i: a[i]) assert pos == 1 def test_last_pos_eq(): a = [1, 3, 3, 3, 3, 4, 5, 6, 7, 8, 9, 10] pos = more_bisect.last_pos_eq(3, a) assert pos == 4 pos = more_bisect.last_pos_eq(-3, revlst(a), key=lambda x: -x) assert pos == 10 a = [2, 3] assert more_bisect.last_pos_eq(3, a) == 1 a = [3, 4] assert more_bisect.last_pos_eq(3, a) == 0 a = [] assert more_bisect.last_pos_eq(3, a) is None a = [1, 4, 5, 6, 7, 8, 9, 10] assert more_bisect.last_pos_eq(3, a) is None def test_last_pos_eq_called_with_fakearray(): a = [1, 3, 3, 3, 3, 4, 5, 6, 7, 8, 9, 10] pos = more_bisect.last_pos_eq(3, lo=0, hi=len(a), key=lambda i: a[i]) assert pos == 4 def test_last_pos_lt(): a = [1, 3, 3, 3, 3, 4, 5, 6, 7, 8, 9, 10] assert more_bisect.last_pos_lt(3, a) == 0 a = [3, 3, 3, 3, 4, 5, 6, 7, 8, 9, 10] assert more_bisect.last_pos_lt(3, a) is None a = [2, 3] assert more_bisect.last_pos_lt(3, a) == 0 a = [3, 4] assert more_bisect.last_pos_lt(3, a) is None a = [1, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4, 5, 6, 7, 8, 9, 10] assert more_bisect.last_pos_lt(3, a) == 3 def test_last_pos_le(): a = [1, 3, 3, 3, 3, 4, 5, 6, 7, 8, 9, 10] assert more_bisect.last_pos_le(3, a) == 4 a = [3, 3, 3, 3, 4, 5, 6, 7, 8, 9, 10] assert more_bisect.last_pos_le(3, a) == 3 a = [4, 5, 6, 7, 8, 9, 10] assert more_bisect.last_pos_le(3, a) is None a = [2, 3] assert more_bisect.last_pos_le(3, a) == 1 a = [3, 4] assert more_bisect.last_pos_le(3, a) == 0 a = [1, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4, 5, 6, 7, 8, 9, 10] assert more_bisect.last_pos_le(3, a) == 7 def test_last_pos_le_called_with_fakearray(): a = [1, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4, 5, 6, 7, 8, 9, 10] assert more_bisect.last_pos_le(3, lo=0, hi=len(a), key=lambda i: a[i]) == 7 def test_first_pos_gt(): a = [1, 3, 3, 3, 3, 4, 5, 6, 7, 8, 9, 10] assert more_bisect.first_pos_gt(3, a) == 5 a = [1, 3, 3, 3, 3] assert more_bisect.first_pos_gt(3, a) is None a = [2, 3] assert more_bisect.first_pos_gt(3, a) is None a = [3, 4] assert more_bisect.first_pos_gt(3, a) == 1 a = [1, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4, 5, 6, 7, 8, 9, 10] assert more_bisect.first_pos_gt(3, a) == 8 def test_first_pos_ge(): a = [1, 3, 3, 3, 3, 4, 5, 6, 7, 8, 9, 10] assert more_bisect.first_pos_ge(3, a) == 1 a = [1, 3, 3, 3, 3] assert more_bisect.first_pos_ge(3, a) == 1 a = [1] assert more_bisect.first_pos_ge(3, a) is None a = [2, 3] assert more_bisect.first_pos_ge(3, a) == 1 a = [3, 4] assert more_bisect.first_pos_ge(3, a) == 0 a = [1, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4, 5, 6, 7, 8, 9, 10] assert more_bisect.first_pos_ge(3, a) == 4 def test_bisect_left(): a = [1, 3, 3, 3, 3, 4, 5, 6, 7, 8, 9, 10] assert more_bisect.bisect_left(3, a) == 1 pos = more_bisect.bisect_left(-3, revlst(a), key=lambda x: -x) assert pos == 7 a = [2, 3] assert more_bisect.bisect_left(3, a) == 1 assert more_bisect.bisect_left(4, a) == 2 a = [3, 4] assert more_bisect.bisect_left(3, a) == 0 a = [] assert more_bisect.bisect_left(3, a) == 0 a = [1, 2, 2, 2, 4, 4, 4, 5, 6, 7, 8, 9, 10] assert more_bisect.bisect_left(3, a) == 4 pos = more_bisect.bisect_left(-3, revlst(a), key=lambda x: -x) assert pos == 9 a = [1, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4, 5, 6, 7, 8, 9, 10] assert more_bisect.bisect_left(3, a) == 4 def test_bisect_left_called_with_fakearray(): a = [1, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4, 5, 6, 7, 8, 9, 10] assert more_bisect.bisect_left(3, lo=0, hi=len(a), key=lambda i: a[i]) == 4 def test_bisect_right(): a = [1, 3, 3, 3, 3, 4, 5, 6, 7, 8, 9, 10] assert more_bisect.bisect_right(3, a) == 5 pos = more_bisect.bisect_right(-3, revlst(a), key=lambda x: -x) assert pos == 11 a = [2, 3] assert more_bisect.bisect_right(2, a) == 1 assert more_bisect.bisect_right(3, a) == 2 assert more_bisect.bisect_right(4, a) == 2 a = [3, 4] assert more_bisect.bisect_right(3, a) == 1 a = [] assert more_bisect.bisect_right(3, a) == 0 a = [1, 2, 2, 2, 4, 4, 4, 5, 6, 7, 8, 9, 10] assert more_bisect.bisect_right(3, a) == 4 pos = more_bisect.bisect_right(-3, revlst(a), key=lambda x: -x) assert pos == 9 a = [1, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4, 5, 6, 7, 8, 9, 10] assert more_bisect.bisect_right(3, a) == 8 def test_last_closest_to(): a = [2, 3, 4] assert more_bisect.last_closest_to(1, a) == 0 pos = more_bisect.last_closest_to(-1, revlst(a), key=lambda x: -x) assert pos == 2 a = [-2, -1, 0] assert more_bisect.last_closest_to(1, a) == 2 pos = more_bisect.last_closest_to(-1, revlst(a), key=lambda x: -x) assert pos == 0 a = [-2, -1, 0, 1, 3, 4] assert more_bisect.last_closest_to(1, a) == 3 pos = more_bisect.last_closest_to(-1, revlst(a), key=lambda x: -x) assert pos == 2 a = [-2, -1, 0, 3, 4, 5] assert more_bisect.last_closest_to(1, a) == 2 pos = more_bisect.last_closest_to(-1, revlst(a), key=lambda x: -x) assert pos == 3 a = [-2, -1, 0, 1, 1, 1, 3, 4] assert more_bisect.last_closest_to(1, a) == 5 pos = more_bisect.last_closest_to(-1, revlst(a), key=lambda x: -x) assert pos == 4 def test_first_closest_to(): a = [2, 3, 4] assert more_bisect.first_closest_to(1, a) == 0 pos = more_bisect.first_closest_to(-1, revlst(a), key=lambda x: -x) assert pos == 2 a = [-2, -1, 0] assert more_bisect.first_closest_to(1, a) == 2 pos = more_bisect.first_closest_to(-1, revlst(a), key=lambda x: -x) assert pos == 0 a = [-2, -1, 0, 1, 3, 4] assert more_bisect.first_closest_to(1, a) == 3 pos = more_bisect.first_closest_to(-1, revlst(a), key=lambda x: -x) assert pos == 2 a = [-2, -1, 0, 3, 4, 5] assert more_bisect.first_closest_to(1, a) == 2 pos = more_bisect.first_closest_to(-1, revlst(a), key=lambda x: -x) assert pos == 3 a = [-2, -1, 0, 1, 1, 1, 3, 4] assert more_bisect.first_closest_to(1, a) == 3 pos = more_bisect.first_closest_to(-1, revlst(a), key=lambda x: -x) assert pos == 2
32.983193
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8
aaef5ba0e1d7c701e2f60dc486c01cbba6968c20
3,841
py
Python
setup.py
symblai/symbl-python-sdk
948fa0d52583d47eba091ed0fcc0ba1e28ec9bf3
[ "Apache-2.0" ]
4
2021-09-25T15:25:00.000Z
2022-01-11T14:05:56.000Z
setup.py
symblai/symbl-python-sdk
948fa0d52583d47eba091ed0fcc0ba1e28ec9bf3
[ "Apache-2.0" ]
1
2021-11-25T11:12:10.000Z
2021-11-25T11:12:10.000Z
setup.py
symblai/symbl-python-sdk
948fa0d52583d47eba091ed0fcc0ba1e28ec9bf3
[ "Apache-2.0" ]
3
2021-08-23T06:33:55.000Z
2022-01-11T14:05:59.000Z
# coding: utf-8 """ symbl.ai APIs <h1>Symbl's APIs for external consumers.</h1> <h2>Language Insights API</h2> Symbl's Language Insights API provides an interface for applications to perform the analysis on the raw text and get insights from it. The API automatically detects sentence boundaries and punctuates the sentences, and also returns the updated messages in the response. Conversations are the most unstructured piece of information that we represent information in, and which most of the leads to lot of loss of information by not being able to capture them correctly.<br/> Language Insights API focuses on understanding such texts and generate the useful and important information from them. <br/> Currently the API supports detection of the Action Items in any type of unstructured text. In future the same API will also have support to detect \"Information\" and \"Event\", where Information is any informational piece and Event is a reference to something that has happened in the past.<br/> <h2>Telephony Integration</h2> Symbl can currently integrate with two types of telephony endpoints: 1. SIP trunks<br/> 2. PSTN endpoints<br/> Results are sent via HTTP WebHooks as and when they are available.<br/> <h2>Flow</h2> 1. External Application invokes REST API to join a meeting/session, with the mode (SIP/PSTN) and joining details<br/> 2. Symbl joins the meeting via SIP or PSTN integration<br/> 3. Symbl continuously processes the audio stream received<br/> 4. Symbl calls WebHook whenever transcription results are available<br/> # noqa: E501 Contact: info@symbl.ai """ from setuptools import setup, find_packages # noqa: H301 # To install the library, run the following # # python setup.py install # # prerequisite: setuptools # http://pypi.python.org/pypi/setuptools setup( name="symbl", version="1.0.17", description="symbl.ai SDK", author_email="info@symbl.ai", url="", keywords=["Symbl.ai SDK"], install_requires=["symbl_rest >= 1.0.11", "websocket-client >= 0.59.0", "sounddevice >= 0.4.1", "numpy"], packages=find_packages(), include_package_data=True, long_description="""\ &lt;h1&gt;Symbl&#x27;s APIs for external consumers.&lt;/h1&gt; &lt;h2&gt;Language Insights API&lt;/h2&gt; Symbl&#x27;s Language Insights API provides an interface for applications to perform the analysis on the raw text and get insights from it. The API automatically detects sentence boundaries and punctuates the sentences, and also returns the updated messages in the response. Conversations are the most unstructured piece of information that we represent information in, and which most of the leads to lot of loss of information by not being able to capture them correctly.&lt;br/&gt; Language Insights API focuses on understanding such texts and generate the useful and important information from them. &lt;br/&gt; Currently the API supports detection of the Action Items in any type of unstructured text. In future the same API will also have support to detect \&quot;Information\&quot; and \&quot;Event\&quot;, where Information is any informational piece and Event is a reference to something that has happened in the past.&lt;br/&gt; &lt;h2&gt;Telephony Integration&lt;/h2&gt; Symbl can currently integrate with two types of telephony endpoints: 1. SIP trunks&lt;br/&gt; 2. PSTN endpoints&lt;br/&gt; Results are sent via HTTP WebHooks as and when they are available.&lt;br/&gt; &lt;h2&gt;Flow&lt;/h2&gt; 1. External Application invokes REST API to join a meeting/session, with the mode (SIP/PSTN) and joining details&lt;br/&gt; 2. Symbl joins the meeting via SIP or PSTN integration&lt;br/&gt; 3. Symbl continuously processes the audio stream received&lt;br/&gt; 4. Symbl calls WebHook whenever transcription results are available&lt;br/&gt; # noqa: E501 """ )
109.742857
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py
Python
psm/icecore/__init__.py
amoodie/PRYSM
99cf02145e3df0aad8b4d9103ab6c081d97bff1f
[ "MIT" ]
21
2015-07-20T21:37:14.000Z
2022-02-14T04:10:11.000Z
psm/icecore/__init__.py
amoodie/PRYSM
99cf02145e3df0aad8b4d9103ab6c081d97bff1f
[ "MIT" ]
8
2015-10-08T16:37:04.000Z
2019-01-04T21:02:09.000Z
psm/icecore/__init__.py
amoodie/PRYSM
99cf02145e3df0aad8b4d9103ab6c081d97bff1f
[ "MIT" ]
13
2015-01-30T10:05:14.000Z
2022-02-05T21:56:21.000Z
import psm.icecore.archive import psm.icecore.sensor
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py
Python
regreg/paths/tests/test_lasso.py
vishalbelsare/regreg
d1b62cc43cdd83331f2b0817b0ae099d5ef97966
[ "BSD-2-Clause" ]
11
2016-02-25T01:53:03.000Z
2020-11-30T00:59:46.000Z
regreg/paths/tests/test_lasso.py
vishalbelsare/regreg
d1b62cc43cdd83331f2b0817b0ae099d5ef97966
[ "BSD-2-Clause" ]
21
2015-09-17T19:18:09.000Z
2021-04-28T06:15:02.000Z
regreg/paths/tests/test_lasso.py
vishalbelsare/regreg
d1b62cc43cdd83331f2b0817b0ae099d5ef97966
[ "BSD-2-Clause" ]
8
2016-03-24T00:03:03.000Z
2019-08-25T23:40:42.000Z
import numpy as np from .. import lasso, strong_rules, warm_start from ..basil import basil_inner_loop, basil from ...tests.decorators import set_seed_for_test @set_seed_for_test() def test_path(n=200,p=50): ''' run a basic path algorithm ''' X = np.random.standard_normal((n,p)) Y = np.random.standard_normal(n) betaX = np.zeros(p) betaX[:3] = [3,4,5] Y += np.dot(X, betaX) + np.random.standard_normal(n) lasso1 = lasso.gaussian(X, Y, np.ones(X.shape[1])) lagrange_sequence = lasso.default_lagrange_sequence(lasso1.penalty, lasso1.grad_solution, nstep=23) # initialized at "null" model sol1 = strong_rules(lasso1, lagrange_sequence, (lasso1.solution.copy(), lasso1.grad_solution.copy()), inner_tol=1.e-5) beta1 = sol1['beta'] @set_seed_for_test() def test_warm_start(n=200,p=50): ''' compare full problem with warm start to strong rules path ''' X = np.random.standard_normal((n,p)) Y = np.random.standard_normal(n) betaX = np.zeros(p) betaX[:3] = [3,4,5] Y += np.dot(X, betaX) + np.random.standard_normal(n) lasso1 = lasso.gaussian(X, Y, np.ones(X.shape[1])) lagrange_sequence = lasso.default_lagrange_sequence(lasso1.penalty, lasso1.grad_solution, nstep=23) # initialized at "null" model sol1 = strong_rules(lasso1, lagrange_sequence, (lasso1.solution.copy(), lasso1.grad_solution.copy()), inner_tol=1.e-14) beta1 = sol1['beta'] sol2 = warm_start(lasso1, lagrange_sequence, (lasso1.solution.copy(), lasso1.grad_solution.copy()), inner_tol=1.e-14) beta2 = sol2['beta'] np.testing.assert_allclose(beta1, beta2, rtol=1.e-4) @set_seed_for_test() def test_warm_start_enet(n=200,p=50): ''' compare full problem with warm start to strong rules path including elastic net ''' X = np.random.standard_normal((n,p)) Y = np.random.standard_normal(n) betaX = np.zeros(p) betaX[:3] = [3,4,5] Y += np.dot(X, betaX) + np.random.standard_normal(n) enet = np.ones(X.shape[1]) enet[4:8] = 0 lasso1 = lasso.gaussian(X, Y, np.ones(X.shape[1]), alpha=0.5, elastic_net_param=enet) lagrange_sequence = lasso.default_lagrange_sequence(lasso1.penalty, lasso1.grad_solution, nstep=23, alpha=lasso1.alpha) # initialized at "null" model sol1 = strong_rules(lasso1, lagrange_sequence, (lasso1.solution.copy(), lasso1.grad_solution.copy()), inner_tol=1.e-14) beta1 = sol1['beta'] sol2 = warm_start(lasso1, lagrange_sequence, (lasso1.solution.copy(), lasso1.grad_solution.copy()), inner_tol=1.e-14) beta2 = sol2['beta'] assert(np.linalg.norm(beta1 - beta2)/np.linalg.norm(beta1) < 1.e-4) @set_seed_for_test() def test_path_subsample(n=200,p=50): ''' compare a subsample path to the full path on subsampled data ''' X = np.random.standard_normal((n,p)) Y = np.random.standard_normal(n) betaX = np.zeros(p) betaX[:3] = [3,4,5] Y += np.dot(X, betaX) + np.random.standard_normal(n) cases = range(n//2) lasso1 = lasso.gaussian(X, Y, np.ones(X.shape[1])) lasso1_sub = lasso1.subsample(cases) lagrange_sequence = lasso.default_lagrange_sequence(lasso1_sub.penalty, lasso1_sub.grad_solution, nstep=23) # initialized at "null" model sol1 = strong_rules(lasso1_sub, lagrange_sequence, (lasso1_sub.solution.copy(), lasso1_sub.grad_solution.copy()), inner_tol=1.e-10) beta1 = sol1['beta'] lasso2 = lasso.gaussian(X[cases], Y[cases], np.ones(X.shape[1])) sol2 = strong_rules(lasso2, lagrange_sequence, (lasso2.solution.copy(), lasso2.grad_solution.copy()), inner_tol=1.e-10) beta2 = sol2['beta'] yield np.testing.assert_allclose, beta1, beta2, 1.e-3 # check that the subsample did not change the original # path object lasso3 = lasso.gaussian(X, Y, np.ones(X.shape[1])) beta3 = strong_rules(lasso1, lagrange_sequence, (lasso1.solution.copy(), lasso1.grad_solution.copy()), inner_tol=1.e-10)['beta'] beta4 = strong_rules(lasso3, lagrange_sequence, (lasso3.solution.copy(), lasso3.grad_solution.copy()), inner_tol=1.e-10)['beta'] yield np.testing.assert_allclose, beta3, beta4, 1.e-3 @set_seed_for_test() def test_unpenalized(n=200, p=50): ''' run a basic path algorithm with some unpenalized variables ''' X = np.random.standard_normal((n,p)) Y = np.random.standard_normal(n) betaX = np.zeros(p) betaX[:3] = [3,4,5] Y += np.dot(X, betaX) + np.random.standard_normal(n) weights = np.ones(X.shape[1]) weights[0:2] = 0 lasso1 = lasso.gaussian(X, Y, weights) lagrange_sequence = lasso.default_lagrange_sequence(lasso1.penalty, lasso1.grad_solution, nstep=23) # initialized at "null" model sol1 = strong_rules(lasso1, lagrange_sequence, (lasso1.solution.copy(), lasso1.grad_solution.copy()), inner_tol=1.e-5) beta1 = sol1['beta'] @set_seed_for_test() def test_elastic_net(n=200, p=50): ''' run a basic elastic net path algorithm ''' X = np.random.standard_normal((n,p)) Y = np.random.standard_normal(n) betaX = np.zeros(p) betaX[:3] = [3,4,5] Y += np.dot(X, betaX) + np.random.standard_normal(n) weights = np.ones(X.shape[1]) lasso1 = lasso.gaussian(X, Y, weights, alpha=0.5, elastic_net_param=np.ones(X.shape[1])) lagrange_sequence = lasso.default_lagrange_sequence(lasso1.penalty, lasso1.grad_solution, nstep=23, alpha=lasso1.alpha) # initialized at "null" model sol1 = strong_rules(lasso1, lagrange_sequence, (lasso1.solution.copy(), lasso1.grad_solution.copy()), inner_tol=1.e-5) beta1 = sol1['beta'] @set_seed_for_test() def test_elastic_net_unpenalized(n=200, p=50): ''' run a basic elastic net path algorithm with unpenalized ''' X = np.random.standard_normal((n,p)) Y = np.random.standard_normal(n) betaX = np.zeros(p) betaX[:3] = [3,4,5] Y += np.dot(X, betaX) + np.random.standard_normal(n) enet = np.ones(X.shape[1]) enet[0] = 0 weights = np.ones(X.shape[1]) weights[0] = 0 lasso1 = lasso.gaussian(X, Y, weights, alpha=0.5, elastic_net_param=enet) lagrange_sequence = lasso.default_lagrange_sequence(lasso1.penalty, lasso1.grad_solution, nstep=23, alpha=lasso1.alpha) # initialized at "null" model sol1 = strong_rules(lasso1, lagrange_sequence, (lasso1.solution.copy(), lasso1.grad_solution.copy()), inner_tol=1.e-5) beta1 = sol1['beta'] @set_seed_for_test() def test_basil_inner_loop(n=1000,p=600): ''' test one run of the BASIL inner loop ''' X = np.random.standard_normal((n,p)) Y = np.random.standard_normal(n) betaX = np.zeros(p) betaX[:3] = [3,4,5] / np.sqrt(n) Y += np.dot(X, betaX) + np.random.standard_normal(n) lasso1 = lasso.gaussian(X, Y, np.ones(X.shape[1])) lagrange_sequence = lasso.default_lagrange_sequence(lasso1.penalty, lasso1.grad_solution, nstep=100) # initialized at "null" model sol1 = basil_inner_loop(lasso1, lagrange_sequence[:50], (lasso1.solution.copy(), lasso1.grad_solution.copy()), inner_tol=1.e-14, step_nvar=10) lagrange1, beta1, grad1, active1 = sol1 print(np.array(beta1).shape, 'chunk of path') print(active1, 'active') @set_seed_for_test() def test_basil(n=1000,p=600): ''' test BASIL ''' X = np.random.standard_normal((n,p)) Y = np.random.standard_normal(n) betaX = np.zeros(p) betaX[:3] = [3,4,5] / np.sqrt(n) Y += np.dot(X, betaX) + np.random.standard_normal(n) lasso1 = lasso.gaussian(X, Y, np.ones(X.shape[1])) lagrange_sequence = lasso.default_lagrange_sequence(lasso1.penalty, lasso1.grad_solution, nstep=100) # initialized at "null" model sol1 = basil(lasso1, lagrange_sequence, (lasso1.solution.copy(), lasso1.grad_solution.copy()), inner_tol=1.e-14, step_nvar=10, step_lagrange=20) lasso2 = lasso.gaussian(X, Y, np.ones(X.shape[1])) sol2 = warm_start(lasso2, lagrange_sequence, (lasso2.solution.copy(), lasso2.grad_solution.copy()), inner_tol=1.e-14)['beta'] assert(np.linalg.norm(sol1 - sol2) / np.linalg.norm(sol2) < 1.e-4) @set_seed_for_test() def test_basil_unpenalized(n=500,p=200): ''' test BASIL ''' X = np.random.standard_normal((n,p)) Y = np.random.standard_normal(n) betaX = np.zeros(p) betaX[:3] = [3,4,5] / np.sqrt(n) Y += np.dot(X, betaX) + np.random.standard_normal(n) W = np.ones(X.shape[1]) W[2:4] = 0 lasso1 = lasso.gaussian(X, Y, W) lagrange_sequence = lasso.default_lagrange_sequence(lasso1.penalty, lasso1.grad_solution, lagrange_proportion=0.4, nstep=20) # initialized at "null" model sol1 = basil(lasso1, lagrange_sequence, (lasso1.solution.copy(), lasso1.grad_solution.copy()), inner_tol=1.e-14, step_nvar=10, step_lagrange=20) lasso2 = lasso.gaussian(X, Y, W) sol2 = warm_start(lasso2, lagrange_sequence, (lasso2.solution.copy(), lasso2.grad_solution.copy()), inner_tol=1.e-14)['beta'] assert(np.linalg.norm(sol1 - sol2) / np.linalg.norm(sol2) < 1.e-4) @set_seed_for_test() def test_basil_enet(n=500,p=200): ''' test BASIL w/enet ''' X = np.random.standard_normal((n,p)) Y = np.random.standard_normal(n) betaX = np.zeros(p) betaX[:3] = [3,4,5] / np.sqrt(n) Y += np.dot(X, betaX) + np.random.standard_normal(n) enet = np.ones(X.shape[1]) enet[4:8] = 0 lasso1 = lasso.gaussian(X, Y, np.ones(X.shape[1]), alpha=0.5, elastic_net_param=enet) lagrange_sequence = lasso.default_lagrange_sequence(lasso1.penalty, lasso1.grad_solution, lagrange_proportion=0.5, nstep=50, alpha=lasso1.alpha) # initialized at "null" model sol1 = basil(lasso1, lagrange_sequence, (lasso1.solution.copy(), lasso1.grad_solution.copy()), inner_tol=1.e-14, step_nvar=10, step_lagrange=20) lasso2 = lasso.gaussian(X, Y, np.ones(X.shape[1]), alpha=0.5, elastic_net_param=enet) sol2 = warm_start(lasso2, lagrange_sequence, (lasso2.solution.copy(), lasso2.grad_solution.copy()), inner_tol=1.e-14)['beta'] lagrange_sequence2 = lasso.default_lagrange_sequence(lasso2.penalty, lasso2.grad_solution, lagrange_proportion=0.5, nstep=50, alpha=lasso2.alpha) # initialized at "null" model rel_errors = np.array([np.linalg.norm(sol1[i]-sol2[i]) / np.linalg.norm(sol1[i]) for i in range(1, sol1.shape[0])]) assert(np.percentile(rel_errors, 90) < 1.e-4)
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a3126e080521b27301510e90642fb2815a1b4efa
164,830
py
Python
HwTestReport.py
stingbo/selenium_python_test
9da8a6e01beb3dcfbbf3fee47dd747dc8b5e5966
[ "MIT" ]
26
2020-12-18T08:03:28.000Z
2022-01-27T02:11:51.000Z
HwTestReport.py
stingbo/selenium_python_test
9da8a6e01beb3dcfbbf3fee47dd747dc8b5e5966
[ "MIT" ]
1
2021-11-25T11:07:22.000Z
2022-01-19T10:39:13.000Z
HwTestReport.py
stingbo/selenium_python_test
9da8a6e01beb3dcfbbf3fee47dd747dc8b5e5966
[ "MIT" ]
7
2021-03-03T12:42:55.000Z
2021-08-05T09:14:19.000Z
#!/usr/bin/env python3 # coding=utf-8 __version__ = "0.1" import datetime import importlib import sys import unittest from xml.sax import saxutils # 支持 python2 and python3 python3 = (sys.version_info[0] > 2) if python3: import io as StringIO else: import StringIO importlib.reload(sys) sys.setdefaultencoding('utf-8') class OutputRedirector(object): """ Wrapper to redirect stdout or stderr """ def __init__(self, fp): self.fp = fp def write(self, s): self.fp.write(s) def writelines(self, lines): self.fp.writelines(lines) def flush(self): self.fp.flush() stdout_redirector = OutputRedirector(sys.stdout) stderr_redirector = OutputRedirector(sys.stderr) # ---------------------------------------------------------------------- # Template Chinese class Template_CN(object): STATUS = { 0: u'通过', 1: u'失败', 2: u'错误', } # 增加 tester DEFAULT_TITLE = '测试报告' DEFAULT_DESCRIPTION = '' DEFAULT_TESTER = 'pystest' # ------------------------------------------------------------------------ # HTML Template HTML_TMPL = r"""<?xml version="1.0" encoding="UTF-8"?> <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"> <html xmlns="http://www.w3.org/1999/xhtml"> <head> <title>%(title)s</title> <meta name="generator" content="%(generator)s"/> <meta http-equiv="Content-Type" content="text/html; charset=UTF-8"/> <link href="http://cdn.bootcss.com/bootstrap/3.3.0/css/bootstrap.min.css" rel="stylesheet"> %(stylesheet)s <script src="https://cdn.bootcss.com/echarts/3.8.5/echarts.common.min.js"></script> </head> <body> <script language="javascript" type="text/javascript"><!-- output_list = Array(); /*level 增加测试结果的筛选条件 0:Summary //all hiddenRow 1:Pass //pt none, ft hiddenRow, et hiddenRow 2:Failed //pt hiddenRow, ft none, et hiddenRow 3:Error //pt hiddenRow, ft hiddenRow, et none 4:All //pt none, ft none, et none */ /* level - 0:Summary; 1:Pass; 2:Failed; 3:Error; 4: All*/ function showCase(level) { trs = document.getElementsByTagName("tr"); for (var i = 0; i < trs.length; i++) { tr = trs[i]; id = tr.id; if (id.substr(0,2) == 'ft') { if (level == 1 || level == 3 || level == 0) { tr.className = 'hiddenRow'; } else { tr.className = ''; } } if (id.substr(0,2) == 'pt') { if (level == 2 || level == 3 || level == 0){ tr.className = 'hiddenRow'; } else { tr.className = ''; } } if (id.substr(0,2) == 'et') { if (level == 1 || level == 2 || level == 0 ){ tr.className = 'hiddenRow'; } else { tr.className = ''; } } } } /* 优化详情与收缩不生效 */ function showClassDetail(cid, count) { var id_list = Array(count); var toHide = 1; for (var i = 0; i < count; i++) { tid0 = 't' + cid.substr(1) + '_' + (i+1); tid = 'f' + tid0; tr = document.getElementById(tid); if (!tr) { tid = 'p' + tid0; tr = document.getElementById(tid); } /* 增加error */ if (!tr) { tid = 'e' + tid0; tr = document.getElementById(tid); } id_list[i] = tid; if (tr.className) { toHide = 0; } } for (var i = 0; i < count; i++) { tid = id_list[i]; if (toHide) { document.getElementById('div_'+tid).style.display = 'none' document.getElementById(tid).className = 'hiddenRow'; } else { document.getElementById(tid).className = ''; } } } function showTestDetail(div_id){ var details_div = document.getElementById(div_id) var displayState = details_div.style.display // alert(displayState) if (displayState != 'block' ) { displayState = 'block' details_div.style.display = 'block' } else { details_div.style.display = 'none' } } function html_escape(s) { s = s.replace(/&/g,'&amp;'); s = s.replace(/</g,'&lt;'); s = s.replace(/>/g,'&gt;'); return s; } /* 增加selenium结合unittest测试的结果截图 引用自GoverSky*/ function show_img(obj) { var obj1 = obj.nextElementSibling obj1.style.display='block' var index = 0;//每张图片的下标, var len = obj1.getElementsByTagName('img').length; var imgyuan = obj1.getElementsByClassName('imgyuan')[0] //var start=setInterval(autoPlay,500); obj1.onmouseover=function(){//当鼠标光标停在图片上,则停止轮播 clearInterval(start); } obj1.onmouseout=function(){//当鼠标光标停在图片上,则开始轮播 start=setInterval(autoPlay,1000); } for (var i = 0; i < len; i++) { var font = document.createElement('font') imgyuan.appendChild(font) } var lis = obj1.getElementsByTagName('font');//得到所有圆圈 changeImg(0) var funny = function (i) { lis[i].onmouseover = function () { index=i changeImg(i) } } for (var i = 0; i < lis.length; i++) { funny(i); } function autoPlay(){ if(index>len-1){ index=0; clearInterval(start); //运行一轮后停止 } changeImg(index++); } imgyuan.style.width= 25*len +"px"; //对应圆圈和图片同步 function changeImg(index) { var list = obj1.getElementsByTagName('img'); var list1 = obj1.getElementsByTagName('font'); for (i = 0; i < list.length; i++) { list[i].style.display = 'none'; list1[i].style.backgroundColor = 'white'; } list[index].style.display = 'block'; list1[index].style.backgroundColor = 'blue'; } } function hide_img(obj){ obj.parentElement.style.display = "none"; obj.parentElement.getElementsByClassName('imgyuan')[0].innerHTML = ""; } --></script> <div id="div_base"> %(heading)s %(report)s %(ending)s %(chart_script)s </div> </body> </html> """ # variables: (title, generator, stylesheet, heading, report, ending, chart_script) # 增加饼图 引用自huilansame ECHARTS_SCRIPT = """ <script type="text/javascript"> // 基于准备好的dom,初始化echarts实例 var myChart = echarts.init(document.getElementById('chart')); // 指定图表的配置项和数据 var option = { title : { text: '测试执行情况', x:'center' }, tooltip : { trigger: 'item', formatter: "{a} <br/>{b} : {c} ({d}%%)" }, color: ['#00A600', '#FF5151', '#FF8A19'], legend: { orient: 'vertical', left: 'left', data: ['通过','失败','错误'] }, series : [ { name: '测试执行情况', type: 'pie', radius : '60%%', center: ['50%%', '60%%'], data:[ {value:%(Pass)s, name:'通过'}, {value:%(fail)s, name:'失败'}, {value:%(error)s, name:'错误'} ], itemStyle: { emphasis: { shadowBlur: 10, shadowOffsetX: 0, shadowColor: 'rgba(0, 0, 0, 0.5)' } } } ] }; // 使用刚指定的配置项和数据显示图表。 myChart.setOption(option); </script> """ # variables: (Pass, fail, error) # ------------------------------------------------------------------------ # Stylesheet # # alternatively use a <link> for external style sheet, e.g. # <link rel="stylesheet" href="$url" type="text/css"> STYLESHEET_TMPL = """ <style type="text/css" media="screen"> body { font-family: verdana, arial, helvetica, sans-serif; font-size: 80%; } table { font-size: 100%; } pre { white-space: pre-wrap;word-wrap: break-word; } /* -- heading ---------------------------------------------------------------------- */ h1 { font-size: 16pt; color: gray; } .heading { margin-top: 0ex; margin-bottom: 1ex; } .heading .attribute { margin-top: 1ex; margin-bottom: 0; } .heading .description { margin-top: 2ex; margin-bottom: 3ex; } /* -- css div popup ------------------------------------------------------------------------ */ a.popup_link { } a.popup_link:hover { color: red; } .popup_window { display: none; position: relative; left: 0px; top: 0px; /*border: solid #627173 1px; */ padding: 10px; background-color: #E6E6D6; font-family: "Lucida Console", "Courier New", Courier, monospace; text-align: left; font-size: 8pt; /* width: 500px;*/ } .img{ height: 100%; border-collapse: collapse; border: 2px solid #777; } .screenshots { z-index: 100; position:fixed; height: 80%; left: 50%; top: 50%; transform: translate(-50%,-50%); display: none; } .imgyuan{ height: 20px; border-radius: 12px; background-color: red; padding-left: 13px; margin: 0 auto; position: relative; top: -40px; background-color: rgba(1, 150, 0, 0.3); } .imgyuan font{ border:1px solid white; width:11px; height:11px; border-radius:50%; margin-right: 9px; margin-top: 4px; display: block; float: left; background-color: white; } .close_shots { background-image: 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); background-size: 22px 22px; -moz-background-size: 22px 22px; background-repeat: no-repeat; position: absolute; top: 5px; right: 5px; height: 22px; z-index: 99; width: 22px; } } /* -- report ------------------------------------------------------------------------ */ #show_detail_line { margin-top: 3ex; margin-bottom: 1ex; } #result_table { width: 99%; } #header_row { font-weight: bold; color: white; background-color: #777; } #total_row { font-weight: bold; } .passClass { background-color: #00DB00; } .failClass { background-color: #FF5151; } .errorClass { background-color: #FF8A19; } .passCase { color: #00A600; } .failCase { color: #FF5151; font-weight: bold; } .errorCase { color: #FF8A19; font-weight: bold; } .hiddenRow { display: none; } .testcase { margin-left: 2em; } /* -- ending ---------------------------------------------------------------------- */ #ending { } #div_base { position:absolute; top:0%; left:5%; right:5%; width: auto; height: auto; margin: -15px 0 0 0; } </style> """ # ------------------------------------------------------------------------ # Heading # # 修改饼图位置 HEADING_TMPL = """ <div class='page-header'> <h1>%(title)s </h1> <div style="float:left;width:50%%;"> <p class='parameters'> %(parameters)s</p> <br> <br> <p class='description'> %(description)s</p> </div> <div id="chart" style="float:left;width:50%%;height:250px;"></di> </div> """ # variables: (title, parameters, description) HEADING_ATTRIBUTE_TMPL = """<p class='attribute'><strong>%(name)s:</strong> %(value)s</p> """ # variables: (name, value) # ------------------------------------------------------------------------ # Report # REPORT_TMPL = u""" <div class="btn-group btn-group-sm"> <button class="btn btn-primary" onclick='javascript:showCase(0)'>概览</button> <button class="btn btn-success" onclick='javascript:showCase(1)'>成功</button> <button class="btn btn-danger" onclick='javascript:showCase(2)'>失败</button> <button class="btn btn-warning" onclick='javascript:showCase(3)'>错误</button> <button class="btn btn-info" onclick='javascript:showCase(4)'>全部</button> </div> <p></p> <table id='result_table' class="table table-bordered"> <colgroup> <col align='left' /> <col align='right' /> <col align='right' /> <col align='right' /> <col align='right' /> <col align='right' /> </colgroup> <tr id='header_row'> <td>测试套件/测试用例</td> <td>总数</td> <td>通过</td> <td>失败</td> <td>错误</td> <td>查看</td> </tr> %(test_list)s <tr id='total_row'> <td>总计</td> <td>%(count)s</td> <td>%(Pass)s</td> <td>%(fail)s</td> <td>%(error)s</td> <td>通过率:%(passrate)s</td> </tr> </table> """ # variables: (test_list, count, Pass, fail, error) REPORT_TMPL_IMAGES = u""" <div class="btn-group btn-group-sm"> <button class="btn btn-primary" onclick='javascript:showCase(0)'>概览</button> <button class="btn btn-success" onclick='javascript:showCase(1)'>成功</button> <button class="btn btn-danger" onclick='javascript:showCase(2)'>失败</button> <button class="btn btn-warning" onclick='javascript:showCase(3)'>错误</button> <button class="btn btn-info" onclick='javascript:showCase(4)'>全部</button> </div> <p></p> <table id='result_table' class="table table-bordered"> <colgroup> <col align='left' /> <col align='right' /> <col align='right' /> <col align='right' /> <col align='right' /> <col align='right' /> </colgroup> <tr id='header_row'> <td>测试套件/测试用例</td> <td>总数</td> <td>通过</td> <td>失败</td> <td>错误</td> <td>查看</td> <td>截图</td> </tr> %(test_list)s <tr id='total_row'> <td>总计</td> <td>%(count)s</td> <td>%(Pass)s</td> <td>%(fail)s</td> <td>%(error)s</td> <td>通过率:%(passrate)s</td> <td>&nbsp;</td> </tr> </table> """ # variables: (test_list, count, Pass, fail, error) REPORT_CLASS_TMPL = u""" <tr class='%(style)s'> <td>%(desc)s</td> <td>%(count)s</td> <td>%(Pass)s</td> <td>%(fail)s</td> <td>%(error)s</td> <td><a href="javascript:showClassDetail('%(cid)s',%(count)s)">详情</a></td> </tr> """ # variables: (style, desc, count, Pass, fail, error, cid) REPORT_CLASS_TMPL_IMAGES = u""" <tr class='%(style)s'> <td>%(desc)s</td> <td>%(count)s</td> <td>%(Pass)s</td> <td>%(fail)s</td> <td>%(error)s</td> <td><a href="javascript:showClassDetail('%(cid)s',%(count)s)">详情</a></td> <td>&nbsp;</td> </tr> """ # variables: (style, desc, count, Pass, fail, error, cid) # 修改详情展开与收缩 REPORT_TEST_WITH_OUTPUT_TMPL = r""" <tr id='%(tid)s' class='%(Class)s'> <td class='%(style)s'><div class='testcase'>%(desc)s</div></td> <td colspan='5' align='center'> <!--css div popup start--> <a class="popup_link" onfocus='this.blur();' href="javascript:showTestDetail('div_%(tid)s')" > %(status)s</a> <div id='div_%(tid)s' class="popup_window"> <div style='text-align: right; color:red;cursor:pointer'> <a onfocus='this.blur();' onclick="document.getElementById('div_%(tid)s').style.display = 'none' " > [x]</a> </div> <pre> %(script)s </pre> </div> <!--css div popup end--> </td> </tr> """ # variables: (tid, Class, style, desc, status) REPORT_TEST_WITH_OUTPUT_TMPL_IMAGES = r""" <tr id='%(tid)s' class='%(Class)s'> <td class='%(style)s'><div class='testcase'>%(desc)s</div></td> <td colspan='5' align='center'> <!--css div popup start--> <a class="popup_link" onfocus='this.blur();' href="javascript:showTestDetail('div_%(tid)s')" > %(status)s</a> <div id='div_%(tid)s' class="popup_window"> <div style='text-align: right; color:red;cursor:pointer'> <a onfocus='this.blur();' onclick="document.getElementById('div_%(tid)s').style.display = 'none' " > [x]</a> </div> <pre> %(script)s </pre> </div> <!--css div popup end--> </td> <td>%(img)s</td> </tr> """ # variables: (tid, Class, style, desc, status) REPORT_TEST_NO_OUTPUT_TMPL = r""" <tr id='%(tid)s' class='%(Class)s'> <td class='%(style)s'><div class='testcase'>%(desc)s</div></td> <td colspan='5' align='center'>%(status)s</td> </tr> """ # variables: (tid, Class, style, desc, status) REPORT_TEST_NO_OUTPUT_TMPL_IMAGES = r""" <tr id='%(tid)s' class='%(Class)s'> <td class='%(style)s'><div class='testcase'>%(desc)s</div></td> <td colspan='5' align='center'>%(status)s</td> <td>%(img)s</td> </tr> """ # variables: (tid, Class, style, desc, status) REPORT_TEST_OUTPUT_TMPL = r""" %(id)s: %(output)s """ # variables: (id, output) IMG_TMPL = r""" <a onfocus='this.blur();' href="javacript:void(0);" onclick="show_img(this)">显示截图</a> <div align="center" class="screenshots" style="display:none"> <a class="close_shots" onclick="hide_img(this)"></a> %(imgs)s <div class="imgyuan"></div> </div> """ # ------------------------------------------------------------------------ # ENDING # # 版权和返回顶部 ENDING_TMPL = r""" <div id='ending'> <p align="center"> Copyright &copy 2016 <a href="https://github.com/stingbo/pystest" target="_blank"> StingBo </a> Inc. All rights reserved. </p> </div> <div style=" position:fixed;right:50px; bottom:30px; width:20px; height:20px;cursor:pointer"> <a href="#"><span class="glyphicon glyphicon-chevron-up" style = "font-size:30px;" aria-hidden="true"> </span></a></div> """ # ---------------------------------------------------------------------- # Template English class Template_EN(object): STATUS = { 0: u'pass', 1: u'fail', 2: u'error', } # add tester DEFAULT_TITLE = 'Test Report' DEFAULT_DESCRIPTION = '' DEFAULT_TESTER = 'pystest' # ------------------------------------------------------------------------ # HTML Template HTML_TMPL = r"""<?xml version="1.0" encoding="UTF-8"?> <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"> <html xmlns="http://www.w3.org/1999/xhtml"> <head> <title>%(title)s</title> <meta name="generator" content="%(generator)s"/> <meta http-equiv="Content-Type" content="text/html; charset=UTF-8"/> <link href="http://cdn.bootcss.com/bootstrap/3.3.0/css/bootstrap.min.css" rel="stylesheet"> %(stylesheet)s <script src="https://cdn.bootcss.com/echarts/3.8.5/echarts.common.min.js"></script> </head> <body> <script language="javascript" type="text/javascript"><!-- output_list = Array(); /*level add test choice 0:Summary //all hiddenRow 1:Pass //pt none, ft hiddenRow, et hiddenRow 2:Failed //pt hiddenRow, ft none, et hiddenRow 3:Error //pt hiddenRow, ft hiddenRow, et none 4:All //pt none, ft none, et none */ /* level - 0:Summary; 1:Pass; 2:Failed; 3:Error; 4: All*/ function showCase(level) { trs = document.getElementsByTagName("tr"); for (var i = 0; i < trs.length; i++) { tr = trs[i]; id = tr.id; if (id.substr(0,2) == 'ft') { if (level == 1 || level == 3 || level == 0) { tr.className = 'hiddenRow'; } else { tr.className = ''; } } if (id.substr(0,2) == 'pt') { if (level == 2 || level == 3 || level == 0){ tr.className = 'hiddenRow'; } else { tr.className = ''; } } if (id.substr(0,2) == 'et') { if (level == 1 || level == 2 || level == 0 ){ tr.className = 'hiddenRow'; } else { tr.className = ''; } } } } /* Optimizing Details and Contraction Not Effective */ function showClassDetail(cid, count) { var id_list = Array(count); var toHide = 1; for (var i = 0; i < count; i++) { tid0 = 't' + cid.substr(1) + '_' + (i+1); tid = 'f' + tid0; tr = document.getElementById(tid); if (!tr) { tid = 'p' + tid0; tr = document.getElementById(tid); } /* 增加error */ if (!tr) { tid = 'e' + tid0; tr = document.getElementById(tid); } id_list[i] = tid; if (tr.className) { toHide = 0; } } for (var i = 0; i < count; i++) { tid = id_list[i]; if (toHide) { document.getElementById('div_'+tid).style.display = 'none' document.getElementById(tid).className = 'hiddenRow'; } else { document.getElementById(tid).className = ''; } } } function showTestDetail(div_id){ var details_div = document.getElementById(div_id) var displayState = details_div.style.display // alert(displayState) if (displayState != 'block' ) { displayState = 'block' details_div.style.display = 'block' } else { details_div.style.display = 'none' } } function html_escape(s) { s = s.replace(/&/g,'&amp;'); s = s.replace(/</g,'&lt;'); s = s.replace(/>/g,'&gt;'); return s; } /* add test screenshot from GoverSky*/ function show_img(obj) { var obj1 = obj.nextElementSibling obj1.style.display='block' var index = 0; var len = obj1.getElementsByTagName('img').length; var imgyuan = obj1.getElementsByClassName('imgyuan')[0] //var start=setInterval(autoPlay,500); obj1.onmouseover=function(){ clearInterval(start); } obj1.onmouseout=function(){ start=setInterval(autoPlay,1000); } for (var i = 0; i < len; i++) { var font = document.createElement('font') imgyuan.appendChild(font) } var lis = obj1.getElementsByTagName('font'); changeImg(0) var funny = function (i) { lis[i].onmouseover = function () { index=i changeImg(i) } } for (var i = 0; i < lis.length; i++) { funny(i); } function autoPlay(){ if(index>len-1){ index=0; clearInterval(start); } changeImg(index++); } imgyuan.style.width= 25*len +"px"; function changeImg(index) { var list = obj1.getElementsByTagName('img'); var list1 = obj1.getElementsByTagName('font'); for (i = 0; i < list.length; i++) { list[i].style.display = 'none'; list1[i].style.backgroundColor = 'white'; } list[index].style.display = 'block'; list1[index].style.backgroundColor = 'blue'; } } function hide_img(obj){ obj.parentElement.style.display = "none"; obj.parentElement.getElementsByClassName('imgyuan')[0].innerHTML = ""; } --></script> <div id="div_base"> %(heading)s %(report)s %(ending)s %(chart_script)s </div> </body> </html> """ # variables: (title, generator, stylesheet, heading, report, ending, chart_script) # add Pie chart from huilansame ECHARTS_SCRIPT = """ <script type="text/javascript"> var myChart = echarts.init(document.getElementById('chart')); var option = { title : { text: 'Test Result', x:'center' }, tooltip : { trigger: 'item', formatter: "{a} <br/>{b} : {c} ({d}%%)" }, color: ['#00A600', '#FF5151', '#FF8A19'], legend: { orient: 'vertical', left: 'left', data: ['pass','fail','error'] }, series : [ { name: 'Test Result', type: 'pie', radius : '60%%', center: ['50%%', '60%%'], data:[ {value:%(Pass)s, name:'pass'}, {value:%(fail)s, name:'fail'}, {value:%(error)s, name:'error'} ], itemStyle: { emphasis: { shadowBlur: 10, shadowOffsetX: 0, shadowColor: 'rgba(0, 0, 0, 0.5)' } } } ] }; myChart.setOption(option); </script> """ # variables: (Pass, fail, error) # ------------------------------------------------------------------------ # Stylesheet # # alternatively use a <link> for external style sheet, e.g. # <link rel="stylesheet" href="$url" type="text/css"> STYLESHEET_TMPL = """ <style type="text/css" media="screen"> body { font-family: verdana, arial, helvetica, sans-serif; font-size: 80%; } table { font-size: 100%; } pre { white-space: pre-wrap;word-wrap: break-word; } /* -- heading ---------------------------------------------------------------------- */ h1 { font-size: 16pt; color: gray; } .heading { margin-top: 0ex; margin-bottom: 1ex; } .heading .attribute { margin-top: 1ex; margin-bottom: 0; } .heading .description { margin-top: 2ex; margin-bottom: 3ex; } /* -- css div popup ------------------------------------------------------------------------ */ a.popup_link { } a.popup_link:hover { color: red; } .popup_window { display: none; position: relative; left: 0px; top: 0px; /*border: solid #627173 1px; */ padding: 10px; background-color: #E6E6D6; font-family: "Lucida Console", "Courier New", Courier, monospace; text-align: left; font-size: 8pt; /* width: 500px;*/ } .img{ height: 100%; border-collapse: collapse; border: 2px solid #777; } .screenshots { z-index: 100; position:fixed; height: 80%; left: 50%; top: 50%; transform: translate(-50%,-50%); display: none; } .imgyuan{ height: 20px; border-radius: 12px; background-color: red; padding-left: 13px; margin: 0 auto; position: relative; top: -40px; background-color: rgba(1, 150, 0, 0.3); } .imgyuan font{ border:1px solid white; width:11px; height:11px; border-radius:50%; margin-right: 9px; margin-top: 4px; display: block; float: left; background-color: white; } .close_shots { background-image: 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); background-size: 22px 22px; -moz-background-size: 22px 22px; background-repeat: no-repeat; position: absolute; top: 5px; right: 5px; height: 22px; z-index: 99; width: 22px; } } /* -- report ------------------------------------------------------------------------ */ #show_detail_line { margin-top: 3ex; margin-bottom: 1ex; } #result_table { width: 99%; } #header_row { font-weight: bold; color: white; background-color: #777; } #total_row { font-weight: bold; } .passClass { background-color: #00DB00; } .failClass { background-color: #FF5151; } .errorClass { background-color: #FF8A19; } .passCase { color: #00A600; } .failCase { color: #FF5151; font-weight: bold; } .errorCase { color: #FF8A19; font-weight: bold; } .hiddenRow { display: none; } .testcase { margin-left: 2em; } /* -- ending ---------------------------------------------------------------------- */ #ending { } #div_base { position:absolute; top:0%; left:5%; right:5%; width: auto; height: auto; margin: -15px 0 0 0; } </style> """ # ------------------------------------------------------------------------ # Heading # # change Pie chart local HEADING_TMPL = """ <div class='page-header'> <h1>%(title)s </h1> <div style="float:left;width:50%%;"> <p class='parameters'> %(parameters)s</p> <br> <br> <p class='description'> %(description)s</p> </div> <div id="chart" style="float:left;width:50%%;height:250px;"></di> </div> """ # variables: (title, parameters, description) HEADING_ATTRIBUTE_TMPL = """<p class='attribute'><strong>%(name)s:</strong> %(value)s</p> """ # variables: (name, value) # ------------------------------------------------------------------------ # Report # REPORT_TMPL = u""" <div class="btn-group btn-group-sm"> <button class="btn btn-primary" onclick='javascript:showCase(0)'>Overview</button> <button class="btn btn-success" onclick='javascript:showCase(1)'>Passed</button> <button class="btn btn-danger" onclick='javascript:showCase(2)'>Failed</button> <button class="btn btn-warning" onclick='javascript:showCase(3)'>Error</button> <button class="btn btn-info" onclick='javascript:showCase(4)'>ALL</button> </div> <p></p> <table id='result_table' class="table table-bordered"> <colgroup> <col align='left' /> <col align='right' /> <col align='right' /> <col align='right' /> <col align='right' /> <col align='right' /> </colgroup> <tr id='header_row'> <td>Test Group/Test case</td> <td>Count</td> <td>Pass</td> <td>Fail</td> <td>Error</td> <td>View</td> </tr> %(test_list)s <tr id='total_row'> <td>Total</td> <td>%(count)s</td> <td>%(Pass)s</td> <td>%(fail)s</td> <td>%(error)s</td> <td>Passing rate:%(passrate)s</td> </tr> </table> """ # variables: (test_list, count, Pass, fail, error) REPORT_TMPL_IMAGES = u""" <div class="btn-group btn-group-sm"> <button class="btn btn-primary" onclick='javascript:showCase(0)'>Overview</button> <button class="btn btn-success" onclick='javascript:showCase(1)'>Passed</button> <button class="btn btn-danger" onclick='javascript:showCase(2)'>Failed</button> <button class="btn btn-warning" onclick='javascript:showCase(3)'>Error</button> <button class="btn btn-info" onclick='javascript:showCase(4)'>ALL</button> </div> <p></p> <table id='result_table' class="table table-bordered"> <colgroup> <col align='left' /> <col align='right' /> <col align='right' /> <col align='right' /> <col align='right' /> <col align='right' /> </colgroup> <tr id='header_row'> <td>Test Group/Test case</td> <td>Count</td> <td>Pass</td> <td>Fail</td> <td>Error</td> <td>View</td> <td>Screenshot</td> </tr> %(test_list)s <tr id='total_row'> <td>Total</td> <td>%(count)s</td> <td>%(Pass)s</td> <td>%(fail)s</td> <td>%(error)s</td> <td>Passing rate:%(passrate)s</td> <td>&nbsp;</td> </tr> </table> """ # variables: (test_list, count, Pass, fail, error) REPORT_CLASS_TMPL = u""" <tr class='%(style)s'> <td>%(desc)s</td> <td>%(count)s</td> <td>%(Pass)s</td> <td>%(fail)s</td> <td>%(error)s</td> <td><a href="javascript:showClassDetail('%(cid)s',%(count)s)">Details</a></td> </tr> """ # variables: (style, desc, count, Pass, fail, error, cid) REPORT_CLASS_TMPL_IMAGES = u""" <tr class='%(style)s'> <td>%(desc)s</td> <td>%(count)s</td> <td>%(Pass)s</td> <td>%(fail)s</td> <td>%(error)s</td> <td><a href="javascript:showClassDetail('%(cid)s',%(count)s)">Details</a></td> <td>&nbsp;</td> </tr> """ # variables: (style, desc, count, Pass, fail, error, cid) # Modification Details Expansion and Contraction REPORT_TEST_WITH_OUTPUT_TMPL = r""" <tr id='%(tid)s' class='%(Class)s'> <td class='%(style)s'><div class='testcase'>%(desc)s</div></td> <td colspan='5' align='center'> <!--css div popup start--> <a class="popup_link" onfocus='this.blur();' href="javascript:showTestDetail('div_%(tid)s')" > %(status)s</a> <div id='div_%(tid)s' class="popup_window"> <div style='text-align: right; color:red;cursor:pointer'> <a onfocus='this.blur();' onclick="document.getElementById('div_%(tid)s').style.display = 'none' " > [x]</a> </div> <pre> %(script)s </pre> </div> <!--css div popup end--> </td> </tr> """ # variables: (tid, Class, style, desc, status) REPORT_TEST_WITH_OUTPUT_TMPL_IMAGES = r""" <tr id='%(tid)s' class='%(Class)s'> <td class='%(style)s'><div class='testcase'>%(desc)s</div></td> <td colspan='5' align='center'> <!--css div popup start--> <a class="popup_link" onfocus='this.blur();' href="javascript:showTestDetail('div_%(tid)s')" > %(status)s</a> <div id='div_%(tid)s' class="popup_window"> <div style='text-align: right; color:red;cursor:pointer'> <a onfocus='this.blur();' onclick="document.getElementById('div_%(tid)s').style.display = 'none' " > [x]</a> </div> <pre> %(script)s </pre> </div> <!--css div popup end--> </td> <td>%(img)s</td> </tr> """ # variables: (tid, Class, style, desc, status) REPORT_TEST_NO_OUTPUT_TMPL = r""" <tr id='%(tid)s' class='%(Class)s'> <td class='%(style)s'><div class='testcase'>%(desc)s</div></td> <td colspan='5' align='center'>%(status)s</td> </tr> """ # variables: (tid, Class, style, desc, status) REPORT_TEST_NO_OUTPUT_TMPL_IMAGES = r""" <tr id='%(tid)s' class='%(Class)s'> <td class='%(style)s'><div class='testcase'>%(desc)s</div></td> <td colspan='5' align='center'>%(status)s</td> <td>%(img)s</td> </tr> """ # variables: (tid, Class, style, desc, status) REPORT_TEST_OUTPUT_TMPL = r""" %(id)s: %(output)s """ # variables: (id, output) IMG_TMPL = r""" <a onfocus='this.blur();' href="javacript:void(0);" onclick="show_img(this)">Show</a> <div align="center" class="screenshots" style="display:none"> <a class="close_shots" onclick="hide_img(this)"></a> %(imgs)s <div class="imgyuan"></div> </div> """ # ------------------------------------------------------------------------ # ENDING # # 版权和返回顶部 ENDING_TMPL = r""" <div id='ending'> <p align="center"> Copyright &copy 2016 <a href="https://github.com/stingbo/pystest" target="_blank"> StingBo </a> Inc. All rights reserved. </p> </div> <div style=" position:fixed;right:50px; bottom:30px; width:20px; height:20px;cursor:pointer"> <a href="#"><span class="glyphicon glyphicon-chevron-up" style = "font-size:30px;" aria-hidden="true"> </span></a></div> """ # -------------------- The end of the Template class ------------------- TestResult = unittest.TestResult class _TestResult(TestResult): # note: _TestResult is a pure representation of results. # It lacks the output and reporting ability compares to unittest._TextTestResult. # 增加subtest和通过率 def __init__(self, verbosity=1): TestResult.__init__(self) self.stdout0 = None self.stderr0 = None self.success_count = 0 self.failure_count = 0 self.error_count = 0 self.verbosity = verbosity # result is a list of result in 4 tuple # ( # result code (0: success; 1: fail; 2: error), # TestCase object, # Test output (byte string), # stack trace, # ) self.result = [] self.subtestlist = [] self.passrate = float(0) def startTest(self, test): '''增加截图''' test.imgs = getattr(test, "imgs", []) TestResult.startTest(self, test) # just one buffer for both stdout and stderr self.outputBuffer = StringIO.StringIO() stdout_redirector.fp = self.outputBuffer stderr_redirector.fp = self.outputBuffer self.stdout0 = sys.stdout self.stderr0 = sys.stderr sys.stdout = stdout_redirector sys.stderr = stderr_redirector def complete_output(self): """ Disconnect output redirection and return buffer. Safe to call multiple times. """ if self.stdout0: sys.stdout = self.stdout0 sys.stderr = self.stderr0 self.stdout0 = None self.stderr0 = None return self.outputBuffer.getvalue() def stopTest(self, test): # Usually one of addSuccess, addError or addFailure would have been called. # But there are some path in unittest that would bypass this. # We must disconnect stdout in stopTest(), which is guaranteed to be called. self.complete_output() def addSuccess(self, test): if test not in self.subtestlist: self.success_count += 1 TestResult.addSuccess(self, test) output = self.complete_output() self.result.append((0, test, output, '')) if self.verbosity > 1: sys.stderr.write(u'ok ') sys.stderr.write(str(test)) sys.stderr.write(u'\n') else: sys.stderr.write(u'.') def addError(self, test, err): '''增加截图''' self.error_count += 1 TestResult.addError(self, test, err) _, _exc_str = self.errors[-1] output = self.complete_output() self.result.append((2, test, output, _exc_str)) if python3: if not getattr(test, "driver",""): pass else: try: driver = getattr(test, "driver") test.imgs.append(driver.get_screenshot_as_base64()) except Exception: pass if self.verbosity > 1: sys.stderr.write(u'E ') sys.stderr.write(str(test)) sys.stderr.write('\n') else: sys.stderr.write(u'E') def addFailure(self, test, err): '''增加截图''' self.failure_count += 1 TestResult.addFailure(self, test, err) _, _exc_str = self.failures[-1] output = self.complete_output() self.result.append((1, test, output, _exc_str)) if python3: if not getattr(test, "driver",""): pass else: try: driver = getattr(test, "driver") test.imgs.append(driver.get_screenshot_as_base64()) except Exception as e: pass if self.verbosity > 1: sys.stderr.write(u'F ') sys.stderr.write(str(test)) sys.stderr.write(u'\n') else: sys.stderr.write(u'F') def addSubTest(self, test, subtest, err): if err is not None: if getattr(self, 'failfast', False): self.stop() if issubclass(err[0], test.failureException): self.failure_count += 1 errors = self.failures errors.append((subtest, self._exc_info_to_string(err, subtest))) output = self.complete_output() self.result.append((1, test, output + '\nSubTestCase Failed:\n' + str(subtest), self._exc_info_to_string(err, subtest))) if self.verbosity > 1: sys.stderr.write('F ') sys.stderr.write(str(subtest)) sys.stderr.write('\n') else: sys.stderr.write('F') else: self.error_count += 1 errors = self.errors errors.append((subtest, self._exc_info_to_string(err, subtest))) output = self.complete_output() self.result.append( (2, test, output + '\nSubTestCase Error:\n' + str(subtest), self._exc_info_to_string(err, subtest))) if self.verbosity > 1: sys.stderr.write('E ') sys.stderr.write(str(subtest)) sys.stderr.write('\n') else: sys.stderr.write('E') self._mirrorOutput = True else: self.subtestlist.append(subtest) self.subtestlist.append(test) self.success_count += 1 output = self.complete_output() self.result.append((0, test, output + '\nSubTestCase Pass:\n' + str(subtest), '')) if self.verbosity > 1: sys.stderr.write('ok ') sys.stderr.write(str(subtest)) sys.stderr.write('\n') else: sys.stderr.write('.') class HTMLTestReport(Template_CN): def __init__(self, stream=sys.stdout, verbosity=1, title=None, description=None,tester=None,images=False): '''增加测试者''' self.stream = stream self.verbosity = verbosity if title is None: self.title = self.DEFAULT_TITLE else: self.title = title if description is None: self.description = self.DEFAULT_DESCRIPTION else: self.description = description if tester is None: self.tester = self.DEFAULT_TESTER else: self.tester = tester self.IMAGES = images self.startTime = datetime.datetime.now() def run(self, test): "Run the given test case or test suite." result = _TestResult(self.verbosity) test(result) self.stopTime = datetime.datetime.now() self.generateReport(test, result) if python3: sys.stderr.write('\nTime Elapsed: %s\n' % (self.stopTime - self.startTime)) else: print >>sys.stderr, u'\nTime Elapsed: %s' % (self.stopTime-self.startTime) return result def sortResult(self, result_list): # unittest does not seems to run in any particular order. # Here at least we want to group them together by class. rmap = {} classes = [] for n,t,o,e in result_list: cls = t.__class__ if not cls in rmap: rmap[cls] = [] classes.append(cls) rmap[cls].append((n,t,o,e)) r = [(cls, rmap[cls]) for cls in classes] return r def getReportAttributes(self, result): """ Return report attributes as a list of (name, value). Override this to add custom attributes. """ startTime = str(self.startTime)[:19] duration = str(self.stopTime - self.startTime) status = [] if result.success_count: status.append(u'通过 %s' % result.success_count) if result.failure_count: status.append(u'失败 %s' % result.failure_count) if result.error_count: status.append(u'错误 %s' % result.error_count) total = result.success_count+result.failure_count+result.error_count if status: status = ' '.join(status) self.passrate = str('%.1f%%' % (float(result.success_count) / total*100)) else: status = 'none' return [ (u'测试人员', self.tester), (u'开始时间', startTime), (u'运行时长', duration), (u'测试结果', '共 {} {} 通过率:{}'.format(total, status, self.passrate)) ] def generateReport(self, test, result): report_attrs = self.getReportAttributes(result) generator = u'HTMLTestRunner %s' % __version__ stylesheet = self._generate_stylesheet() heading = self._generate_heading(report_attrs) report = self._generate_report(result) ending = self._generate_ending() chart = self._generate_chart(result) output = self.HTML_TMPL % dict( title = saxutils.escape(self.title), generator = generator, stylesheet = stylesheet, heading = heading, report = report, ending = ending, chart_script= chart ) self.stream.write(output.encode('utf8')) def _generate_stylesheet(self): return self.STYLESHEET_TMPL def _generate_heading(self, report_attrs): a_lines = [] for name, value in report_attrs: line = self.HEADING_ATTRIBUTE_TMPL % dict( name = saxutils.escape(name), value = saxutils.escape(value), ) a_lines.append(line) heading = self.HEADING_TMPL % dict( title = saxutils.escape(self.title), parameters = ''.join(a_lines), description = saxutils.escape(self.description), tester=saxutils.escape(self.tester), ) return heading def _generate_report(self, result): rows = [] sortedResult = self.sortResult(result.result) for cid, (cls, cls_results) in enumerate(sortedResult): # subtotal for a class np = nf = ne = 0 for n,t,o,e in cls_results: if n == 0: np += 1 elif n == 1: nf += 1 else: ne += 1 # format class description if cls.__module__ == "__main__": name = cls.__name__ else: name = "%s.%s" % (cls.__module__, cls.__name__) doc = cls.__doc__ and cls.__doc__.split("\n")[0] or "" desc = doc and '%s: %s' % (name, doc) or name if self.IMAGES: row = self.REPORT_CLASS_TMPL_IMAGES % dict( style = ne > 0 and 'errorClass' or nf > 0 and 'failClass' or 'passClass', desc = desc, count = np+nf+ne, Pass = np, fail = nf, error = ne, cid = u'c%s' % (cid+1), ) else: row = self.REPORT_CLASS_TMPL % dict( style = ne > 0 and 'errorClass' or nf > 0 and 'failClass' or 'passClass', desc = desc, count = np+nf+ne, Pass = np, fail = nf, error = ne, cid = u'c%s' % (cid+1), ) rows.append(row) for tid, (n,t,o,e) in enumerate(cls_results): self._generate_report_test(rows, cid, tid, n, t, o, e) if self.IMAGES: report = self.REPORT_TMPL_IMAGES % dict( test_list = ''.join(rows), count = str(result.success_count+result.failure_count+result.error_count), Pass = str(result.success_count), fail = str(result.failure_count), error = str(result.error_count), passrate=self.passrate, ) else: report = self.REPORT_TMPL % dict( test_list = ''.join(rows), count = str(result.success_count+result.failure_count+result.error_count), Pass = str(result.success_count), fail = str(result.failure_count), error = str(result.error_count), passrate=self.passrate, ) return report def _generate_chart(self, result): chart = self.ECHARTS_SCRIPT % dict( Pass=str(result.success_count), fail=str(result.failure_count), error=str(result.error_count), ) return chart def _generate_report_test(self, rows, cid, tid, n, t, o, e): # e.g. 'pt1.1', 'ft1.1', etc has_output = bool(o or e) # 增加error tid = (n == 0 and 'p' or n == 1 and 'f' or 'e') + 't%s_%s' % (cid + 1, tid + 1) name = t.id().split('.')[-1] doc = t.shortDescription() or "" desc = doc and ('%s: %s' % (name, doc)) or name if self.IMAGES: tmpl = has_output and self.REPORT_TEST_WITH_OUTPUT_TMPL_IMAGES or self.REPORT_TEST_NO_OUTPUT_TMPL_IMAGES else: tmpl = has_output and self.REPORT_TEST_WITH_OUTPUT_TMPL or self.REPORT_TEST_NO_OUTPUT_TMPL # o and e should be byte string because they are collected from stdout and stderr? if isinstance(o, str): # uo = unicode(o.encode('string_escape')) if python3: uo = o else: uo = o.decode('utf-8', 'ignore') else: uo = o if isinstance(e,str): # TODO: some problem with 'string_escape': it escape \n and mess up formating # ue = unicode(e.encode('string_escape')) if python3: ue = e else: # ue = e.decode('latin-1') ue = e.decode('utf-8', 'ignore') else: ue = e script = self.REPORT_TEST_OUTPUT_TMPL % dict( id = tid, output = saxutils.escape(uo+ue), ) if getattr(t, 'imgs', []): # 判断截图列表,如果有则追加 tmp = u"" for i, img in enumerate(t.imgs): if i == 0: tmp += """ <img src="data:image/jpg;base64,%s" style="display: block;" class="img"/>\n""" % img else: tmp += """ <img src="data:image/jpg;base64,%s" style="display: none;" class="img"/>\n""" % img imgs = self.IMG_TMPL % dict(imgs=tmp) else: imgs = u"""没有截图""" row = tmpl % dict( tid = tid, Class = (n == 0 and 'hiddenRow' or 'none'), style = (n == 2 and 'errorCase') or (n == 1 and 'failCase') or (n == 0 and 'passCase'), desc = desc, script = script, status = self.STATUS[n], img=imgs, ) rows.append(row) if not has_output: return def _generate_ending(self): return self.ENDING_TMPL class HTMLTestReportEN(Template_EN): def __init__(self, stream=sys.stdout, verbosity=1, title=None, description=None,tester=None,images=False): '''add tester''' self.stream = stream self.verbosity = verbosity if title is None: self.title = self.DEFAULT_TITLE else: self.title = title if description is None: self.description = self.DEFAULT_DESCRIPTION else: self.description = description if tester is None: self.tester = self.DEFAULT_TESTER else: self.tester = tester self.IMAGES = images self.startTime = datetime.datetime.now() def run(self, test): "Run the given test case or test suite." result = _TestResult(self.verbosity) test(result) self.stopTime = datetime.datetime.now() self.generateReport(test, result) if python3: sys.stderr.write('\nTime Elapsed: %s\n' % (self.stopTime - self.startTime)) else: print >>sys.stderr, u'\nTime Elapsed: %s' % (self.stopTime-self.startTime) return result def sortResult(self, result_list): # unittest does not seems to run in any particular order. # Here at least we want to group them together by class. rmap = {} classes = [] for n,t,o,e in result_list: cls = t.__class__ if not cls in rmap: rmap[cls] = [] classes.append(cls) rmap[cls].append((n,t,o,e)) r = [(cls, rmap[cls]) for cls in classes] return r def getReportAttributes(self, result): """ Return report attributes as a list of (name, value). Override this to add custom attributes. """ startTime = str(self.startTime)[:19] duration = str(self.stopTime - self.startTime) status = [] if result.success_count: status.append(u'Pass %s' % result.success_count) if result.failure_count: status.append(u'Failed %s' % result.failure_count) if result.error_count: status.append(u'Error %s' % result.error_count) total = result.success_count+result.failure_count+result.error_count if status: status = ' '.join(status) self.passrate = str('%.1f%%' % (float(result.success_count) / total*100)) else: status = 'none' return [ (u'Tester', self.tester), (u'Start Time', startTime), (u'Duration', duration), (u'Status', 'All {} {} Passing Rate:{}'.format(total, status, self.passrate)) ] def generateReport(self, test, result): report_attrs = self.getReportAttributes(result) generator = u'HTMLTestRunner %s' % __version__ stylesheet = self._generate_stylesheet() heading = self._generate_heading(report_attrs) report = self._generate_report(result) ending = self._generate_ending() chart = self._generate_chart(result) output = self.HTML_TMPL % dict( title = saxutils.escape(self.title), generator = generator, stylesheet = stylesheet, heading = heading, report = report, ending = ending, chart_script= chart ) self.stream.write(output.encode('utf8')) def _generate_stylesheet(self): return self.STYLESHEET_TMPL def _generate_heading(self, report_attrs): a_lines = [] for name, value in report_attrs: line = self.HEADING_ATTRIBUTE_TMPL % dict( name = saxutils.escape(name), value = saxutils.escape(value), ) a_lines.append(line) heading = self.HEADING_TMPL % dict( title = saxutils.escape(self.title), parameters = ''.join(a_lines), description = saxutils.escape(self.description), tester=saxutils.escape(self.tester), ) return heading def _generate_report(self, result): rows = [] sortedResult = self.sortResult(result.result) for cid, (cls, cls_results) in enumerate(sortedResult): # subtotal for a class np = nf = ne = 0 for n,t,o,e in cls_results: if n == 0: np += 1 elif n == 1: nf += 1 else: ne += 1 # format class description if cls.__module__ == "__main__": name = cls.__name__ else: name = "%s.%s" % (cls.__module__, cls.__name__) doc = cls.__doc__ and cls.__doc__.split("\n")[0] or "" desc = doc and '%s: %s' % (name, doc) or name if self.IMAGES: row = self.REPORT_CLASS_TMPL_IMAGES % dict( style = ne > 0 and 'errorClass' or nf > 0 and 'failClass' or 'passClass', desc = desc, count = np+nf+ne, Pass = np, fail = nf, error = ne, cid = u'c%s' % (cid+1), ) else: row = self.REPORT_CLASS_TMPL % dict( style = ne > 0 and 'errorClass' or nf > 0 and 'failClass' or 'passClass', desc = desc, count = np+nf+ne, Pass = np, fail = nf, error = ne, cid = u'c%s' % (cid+1), ) rows.append(row) for tid, (n,t,o,e) in enumerate(cls_results): self._generate_report_test(rows, cid, tid, n, t, o, e) if self.IMAGES: report = self.REPORT_TMPL_IMAGES % dict( test_list = ''.join(rows), count = str(result.success_count+result.failure_count+result.error_count), Pass = str(result.success_count), fail = str(result.failure_count), error = str(result.error_count), passrate=self.passrate, ) else: report = self.REPORT_TMPL % dict( test_list = ''.join(rows), count = str(result.success_count+result.failure_count+result.error_count), Pass = str(result.success_count), fail = str(result.failure_count), error = str(result.error_count), passrate=self.passrate, ) return report def _generate_chart(self, result): chart = self.ECHARTS_SCRIPT % dict( Pass=str(result.success_count), fail=str(result.failure_count), error=str(result.error_count), ) return chart def _generate_report_test(self, rows, cid, tid, n, t, o, e): # e.g. 'pt1.1', 'ft1.1', etc has_output = bool(o or e) # add error tid = (n == 0 and 'p' or n == 1 and 'f' or 'e') + 't%s_%s' % (cid + 1, tid + 1) name = t.id().split('.')[-1] doc = t.shortDescription() or "" desc = doc and ('%s: %s' % (name, doc)) or name if self.IMAGES: tmpl = has_output and self.REPORT_TEST_WITH_OUTPUT_TMPL_IMAGES or self.REPORT_TEST_NO_OUTPUT_TMPL_IMAGES else: tmpl = has_output and self.REPORT_TEST_WITH_OUTPUT_TMPL or self.REPORT_TEST_NO_OUTPUT_TMPL # o and e should be byte string because they are collected from stdout and stderr? if isinstance(o, str): # uo = unicode(o.encode('string_escape')) if python3: uo = o else: uo = o.decode('utf-8', 'ignore') else: uo = o if isinstance(e,str): # TODO: some problem with 'string_escape': it escape \n and mess up formating # ue = unicode(e.encode('string_escape')) if python3: ue = e else: # ue = e.decode('latin-1') ue = e.decode('utf-8', 'ignore') else: ue = e script = self.REPORT_TEST_OUTPUT_TMPL % dict( id = tid, output = saxutils.escape(uo+ue), ) if getattr(t, 'imgs', []): # 判断截图列表,如果有则追加 tmp = u"" for i, img in enumerate(t.imgs): if i == 0: tmp += """ <img src="data:image/jpg;base64,%s" style="display: block;" class="img"/>\n""" % img else: tmp += """ <img src="data:image/jpg;base64,%s" style="display: none;" class="img"/>\n""" % img imgs = self.IMG_TMPL % dict(imgs=tmp) else: imgs = u"""no screenshot""" row = tmpl % dict( tid = tid, Class = (n == 0 and 'hiddenRow' or 'none'), style = (n == 2 and 'errorCase') or (n == 1 and 'failCase') or (n == 0 and 'passCase'), desc = desc, script = script, status = self.STATUS[n], img=imgs, ) rows.append(row) if not has_output: return def _generate_ending(self): return self.ENDING_TMPL ############################################################################## # Facilities for running tests from the command line ############################################################################## # Note: Reuse unittest.TestProgram to launch test. In the future we may # build our own launcher to support more specific command line # parameters like test title, CSS, etc. class TestProgram(unittest.TestProgram): """ A variation of the unittest.TestProgram. Please refer to the base class for command line parameters. """ def runTests(self): # Pick HTMLTestRunner as the default test runner. # base class's testRunner parameter is not useful because it means # we have to instantiate HTMLTestRunner before we know self.verbosity. if self.testRunner is None: # self.testRunner = HTMLTestRunner(verbosity=self.verbosity) self.testRunner = HTMLTestReport(verbosity=self.verbosity) unittest.TestProgram.runTests(self) main = TestProgram ############################################################################## # Executing this module from the command line ############################################################################## if __name__ == "__main__": main(module=None)
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a31af76d5a53cc3cbe59f9464455bbb3e93651e0
3,051
py
Python
polliwog/line/test_line_intersect.py
algrs/polliwog
faa6531e8e2f7d0b52e928d64a4c1914199c4023
[ "BSD-2-Clause" ]
null
null
null
polliwog/line/test_line_intersect.py
algrs/polliwog
faa6531e8e2f7d0b52e928d64a4c1914199c4023
[ "BSD-2-Clause" ]
null
null
null
polliwog/line/test_line_intersect.py
algrs/polliwog
faa6531e8e2f7d0b52e928d64a4c1914199c4023
[ "BSD-2-Clause" ]
null
null
null
import numpy as np from .line_intersect import line_intersect2, line_intersect3 def test_line_intersect2(): p0, q0 = np.array([[0.0, 3.0], [4.0, 11.0]]) p1, q1 = np.array([[-2.0, 8.0], [6.0, 4.0]]) np.testing.assert_array_equal(line_intersect2(p0, q0, p1, q1), [1.6, 6.2]) def test_line_intersect2_duplicate_point(): p0, q0 = np.array([[0.0, 3.0], [5.0, 5.0]]) p1, q1 = np.array([[5.0, 5.0], [6.0, 4.0]]) np.testing.assert_array_equal(line_intersect2(p0, q0, p1, q1), [5.0, 5.0]) def test_line_intersect2_with_collinear_lines(): p0, q0 = np.array([[0.0, 1.0], [0.0, 10.0]]) p1, q1 = np.array([[0.0, 2.0], [0.0, 4.0]]) assert line_intersect2(p0, q0, p1, q1) is None def test_line_intersect2_with_parallel_lines(): p0, q0 = np.array([[0.0, 1.0], [0.0, 10.0]]) p1, q1 = np.array([[1.0, 2.0], [1.0, 11.0]]) assert line_intersect2(p0, q0, p1, q1) is None def test_line_intersect3_with_collinear_lines(): p0, q0 = np.array([[0.0, 1.0, 2.0], [0.0, 10.0, 20.0]]) p1, q1 = np.array([[0.0, 2.0, 4.0], [0.0, 4.0, 8.0]]) assert line_intersect3(p0, q0, p1, q1) is None def test_line_intersect3_with_parallel_lines(): p0, q0 = np.array([[0.0, 1.0, 2.0], [0.0, 10.0, 20.0]]) p1, q1 = np.array([[1.0, 2.0, 3.0], [1.0, 11.0, 21.0]]) assert line_intersect3(p0, q0, p1, q1) is None def test_line_intersect3_with_degenerate_input_p(): p0, q0 = np.array([[0.0, 1.0, 2.0], [0.0, 10.0, 20.0]]) p1, q1 = np.array([[0.0, 1.0, 2.0], [1.0, 11.0, 21.0]]) np.testing.assert_array_equal(line_intersect3(p0, q0, p1, q1), [0.0, 1.0, 2.0]) def test_line_intersect3_with_degenerate_input_q(): p0, q0 = np.array([[0.0, 1.0, 2.0], [0.0, 10.0, 20.0]]) p1, q1 = np.array([[1.0, 2.0, 3.0], [0.0, 10.0, 20.0]]) np.testing.assert_array_equal(line_intersect3(p0, q0, p1, q1), [0.0, 10.0, 20.0]) def test_line_intersect3_with_degenerate_input_q_2(): p0, q0 = np.array([[0.0, 1.0, 2.0], [0.0, 10.0, 20.0]]) p1, q1 = np.array([[0.0, 10.0, 20.0], [1.0, 2.0, 3.0]]) np.testing.assert_array_equal(line_intersect3(p0, q0, p1, q1), [0.0, 10.0, 20.0]) def test_line_intersect3_example_1(): """ This example tests the codirectional cross product case. """ p0, q0 = np.array([[5.0, 5.0, 4.0], [10.0, 10.0, 6.0]]) p1, q1 = np.array([[5.0, 5.0, 5.0], [10.0, 10.0, 3.0]]) np.testing.assert_array_equal( line_intersect3(p0, q0, p1, q1), [25.0 / 4, 25.0 / 4, 9.0 / 2] ) def test_line_intersect3_example_2(): """ This example tests the opposite direction cross product case. """ p0, q0 = np.array([[5.0, 5.0, 4.0], [10.0, 10.0, -6.0]]) p1, q1 = np.array([[5.0, 5.0, 5.0], [10.0, 10.0, -3.0]]) np.testing.assert_array_equal(line_intersect3(p0, q0, p1, q1), [2.5, 2.5, 9]) def test_line_intersect3_example_3(): p0, q0 = np.array([[6.0, 8.0, 4.0], [12.0, 15.0, 4.0]]) p1, q1 = np.array([[6.0, 8.0, 2.0], [12.0, 15.0, 6.0]]) np.testing.assert_array_equal(line_intersect3(p0, q0, p1, q1), [9.0, 23.0 / 2, 4.0])
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a369d96a87f229db0991f69e07470e49b5275ed3
43,716
py
Python
obp/ope/estimators_slate.py
Tanvikapoor14/zr-obp
51eba00f0dda5c26c1fa6826f544c60de485da52
[ "Apache-2.0" ]
null
null
null
obp/ope/estimators_slate.py
Tanvikapoor14/zr-obp
51eba00f0dda5c26c1fa6826f544c60de485da52
[ "Apache-2.0" ]
null
null
null
obp/ope/estimators_slate.py
Tanvikapoor14/zr-obp
51eba00f0dda5c26c1fa6826f544c60de485da52
[ "Apache-2.0" ]
null
null
null
# Copyright (c) Yuta Saito, Yusuke Narita, and ZOZO Technologies, Inc. All rights reserved. # Licensed under the Apache 2.0 License. """Off-Policy Estimators for Slate/Ranking Policies.""" from abc import ABCMeta from abc import abstractmethod from dataclasses import dataclass from typing import Dict from typing import Optional import numpy as np from sklearn.utils import check_scalar from ..utils import check_cascade_dr_inputs from ..utils import check_iips_inputs from ..utils import check_rips_inputs from ..utils import check_sips_inputs from ..utils import estimate_confidence_interval_by_bootstrap @dataclass class BaseSlateOffPolicyEstimator(metaclass=ABCMeta): """Base class for Slate OPE estimators.""" @abstractmethod def _estimate_round_rewards(self) -> np.ndarray: """Estimate round-wise (or sample-wise) rewards.""" raise NotImplementedError @abstractmethod def estimate_policy_value(self) -> float: """Estimate the policy value of evaluation policy.""" raise NotImplementedError @abstractmethod def estimate_interval(self) -> Dict[str, float]: """Estimate the confidence interval of the policy value using bootstrap.""" raise NotImplementedError @dataclass class BaseSlateInverseProbabilityWeighting(BaseSlateOffPolicyEstimator): """Base Class of Inverse Probability Weighting Estimators for the slate contextual bandit setting. len_list: int (> 1) Length of a list of actions in a recommendation/ranking inferface, slate size. When Open Bandit Dataset is used, `len_list=3`. """ len_list: int def _estimate_round_rewards( self, reward: np.ndarray, position: np.ndarray, behavior_policy_pscore: np.ndarray, evaluation_policy_pscore: np.ndarray, **kwargs, ) -> np.ndarray: """Estimate rewards for each slate and slot (position). Parameters ---------- reward: array-like, shape (<= n_rounds * len_list,) Slot-level rewards, i.e., :math:`r_{i}(l)`. position: array-like, shape (<= n_rounds * len_list,) Indices to differentiate slots/positions in a slate/ranking. behavior_policy_pscore: array-like, shape (<= n_rounds * len_list,) Marginal probabilities of behavior policy choosing a particular action at each position (slot) or joint probabilities of behavior policy choosing a whole slate/ranking of actions. evaluation_policy_pscore: array-like, shape (<= n_rounds * len_list,) Marginal probabilities of evaluation policy choosing a particular action at each slot/position or joint probabilities of evaluation policy choosing a whole slate/ranking of actions. Returns ---------- estimated_rewards: array-like, shape (<= n_rounds * len_list,) Rewards estimated for each slate and slot (position). """ iw = evaluation_policy_pscore / behavior_policy_pscore estimated_rewards = reward * iw return estimated_rewards def _estimate_slate_confidence_interval_by_bootstrap( self, slate_id: np.ndarray, estimated_rewards: np.ndarray, alpha: float = 0.05, n_bootstrap_samples: int = 10000, random_state: Optional[int] = None, ) -> Dict[str, float]: """Estimate the confidence interval of the policy value using bootstrap. Parameters ---------- slate_id: array-like, shape (<= n_rounds * len_list,) Indices to differentiate slates (i.e., ranking or list of actions) estimated_rewards: array-like, shape (<= n_rounds * len_list,) Rewards estimated for each slate and slot (position). alpha: float, default=0.05 Significance level. n_bootstrap_samples: int, default=10000 Number of resampling performed in bootstrap sampling. random_state: int, default=None Controls the random seed in bootstrap sampling. Returns ---------- estimated_confidence_interval: Dict[str, float] Dictionary storing the estimated mean and upper-lower confidence bounds. """ unique_slate = np.unique(slate_id) # sum estimated_rewards in each slate estimated_round_rewards = list() for slate in unique_slate: estimated_round_rewards.append(estimated_rewards[slate_id == slate].sum()) estimated_round_rewards = np.array(estimated_round_rewards) return estimate_confidence_interval_by_bootstrap( samples=estimated_round_rewards, alpha=alpha, n_bootstrap_samples=n_bootstrap_samples, random_state=random_state, ) @dataclass class SlateStandardIPS(BaseSlateInverseProbabilityWeighting): """Standard Inverse Propensity Scoring (SIPS) Estimator. Note ------- SIPS estimates the policy value of evaluation policy :math:`\\pi_e` without imposing any assumption on user behavior. Please refer to Eq.(1) in Section 3 of McInerney et al.(2020) for more details. Parameters ---------- estimator_name: str, default='sips'. Name of the estimator. References ------------ James McInerney, Brian Brost, Praveen Chandar, Rishabh Mehrotra, and Ben Carterette. "Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions.", 2020. """ estimator_name: str = "sips" def estimate_policy_value( self, slate_id: np.ndarray, reward: np.ndarray, position: np.ndarray, pscore: np.ndarray, evaluation_policy_pscore: np.ndarray, **kwargs, ) -> float: """Estimate the policy value of evaluation policy. Parameters ---------- slate_id: array-like, shape (<= n_rounds * len_list,) Indices to differentiate slates (i.e., ranking or list of actions) reward: array-like, shape (<= n_rounds * len_list,) Slot-level rewards, i.e., :math:`r_{i}(l)`. position: array-like, shape (<= n_rounds * len_list,) Indices to differentiate slots/positions in a slate/ranking. pscore: array-like, shape (<= n_rounds * len_list,) Joint probabilities of behavior policy choosing a slate action, i.e., :math:`\\pi_b(a_i|x_i)`. This parameter must be unique in each slate. evaluation_policy_pscore: array-like, shape (<= n_rounds * len_list,) Joint probabilities of evaluation policy choosing a slate action, i.e., :math:`\\pi_e(a_i|x_i)`. This parameter must be unique in each slate. Returns ---------- V_hat: float Estimated policy value of evaluation policy. """ check_sips_inputs( slate_id=slate_id, reward=reward, position=position, pscore=pscore, evaluation_policy_pscore=evaluation_policy_pscore, ) return ( self._estimate_round_rewards( reward=reward, position=position, behavior_policy_pscore=pscore, evaluation_policy_pscore=evaluation_policy_pscore, ).sum() / np.unique(slate_id).shape[0] ) def estimate_interval( self, slate_id: np.ndarray, reward: np.ndarray, position: np.ndarray, pscore: np.ndarray, evaluation_policy_pscore: np.ndarray, alpha: float = 0.05, n_bootstrap_samples: int = 10000, random_state: Optional[int] = None, **kwargs, ) -> Dict[str, float]: """Estimate the confidence interval of the policy value using bootstrap. Parameters ---------- slate_id: array-like, shape (<= n_rounds * len_list,) Indices to differentiate slates (i.e., ranking or list of actions) reward: array-like, shape (<= n_rounds * len_list,) Slot-level rewards, i.e., :math:`r_{i}(l)`. position: array-like, shape (<= n_rounds * len_list,) Indices to differentiate slots/positions in a slate/ranking. pscore: array-like, shape (<= n_rounds * len_list,) Joint probabilities of behavior policy choosing a slate action, i.e., :math:`\\pi_b(a_i|x_i)`. This parameter must be unique in each slate. evaluation_policy_pscore: array-like, shape (<= n_rounds * len_list,) Joint probabilities of evaluation policy choosing a slate action, i.e., :math:`\\pi_e(a_i|x_i)`. This parameter must be unique in each slate. alpha: float, default=0.05 Significance level. n_bootstrap_samples: int, default=10000 Number of resampling performed in bootstrap sampling. random_state: int, default=None Controls the random seed in bootstrap sampling. Returns ---------- estimated_confidence_interval: Dict[str, float] Dictionary storing the estimated mean and upper-lower confidence bounds. """ check_sips_inputs( slate_id=slate_id, reward=reward, position=position, pscore=pscore, evaluation_policy_pscore=evaluation_policy_pscore, ) estimated_rewards = self._estimate_round_rewards( reward=reward, position=position, behavior_policy_pscore=pscore, evaluation_policy_pscore=evaluation_policy_pscore, ) return self._estimate_slate_confidence_interval_by_bootstrap( slate_id=slate_id, estimated_rewards=estimated_rewards, alpha=alpha, n_bootstrap_samples=n_bootstrap_samples, random_state=random_state, ) @dataclass class SlateIndependentIPS(BaseSlateInverseProbabilityWeighting): """Independent Inverse Propensity Scoring (IIPS) Estimator. Note ------- IIPS estimates the policy value of evaluation policy :math:`\\pi_e` assuming the item-position click model (rewards observed at each position are assumed to be independent of any other positions.). Please refer to Eq.(2) in Section 3 of McInerney et al.(2020) for more details. Parameters ---------- estimator_name: str, default='iips'. Name of the estimator. References ------------ Shuai Li, Yasin Abbasi-Yadkori, Branislav Kveton, S. Muthukrishnan, Vishwa Vinay, Zheng Wen. "Offline Evaluation of Ranking Policies with Click Models", 2018. James McInerney, Brian Brost, Praveen Chandar, Rishabh Mehrotra, and Ben Carterette. "Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions.", 2020. """ estimator_name: str = "iips" def estimate_policy_value( self, slate_id: np.ndarray, reward: np.ndarray, position: np.ndarray, pscore_item_position: np.ndarray, evaluation_policy_pscore_item_position: np.ndarray, **kwargs, ) -> float: """Estimate the policy value of evaluation policy. Parameters ---------- slate_id: array-like, shape (<= n_rounds * len_list,) Indices to differentiate slates (i.e., ranking or list of actions) reward: array-like, shape (<= n_rounds * len_list,) Slot-level rewards, i.e., :math:`r_{i}(l)`. position: array-like, shape (<= n_rounds * len_list,) Indices to differentiate slots/positions in a slate/ranking. pscore_item_position: array-like, shape (<= n_rounds * len_list,) Marginal probabilities of behavior policy choosing a particular action at each position (slot), i.e., :math:`\\pi_b(a_{i}(l) |x_i)`. evaluation_policy_pscore_item_position: array-like, shape (<= n_rounds * len_list,) Marginal probabilities of evaluation policy choosing a particular action at each position (slot), i.e., :math:`\\pi_e(a_{i}(l) |x_i)`. Returns ---------- V_hat: float Estimated policy value of evaluation policy. """ check_iips_inputs( slate_id=slate_id, reward=reward, position=position, pscore_item_position=pscore_item_position, evaluation_policy_pscore_item_position=evaluation_policy_pscore_item_position, ) return ( self._estimate_round_rewards( reward=reward, position=position, behavior_policy_pscore=pscore_item_position, evaluation_policy_pscore=evaluation_policy_pscore_item_position, ).sum() / np.unique(slate_id).shape[0] ) def estimate_interval( self, slate_id: np.ndarray, reward: np.ndarray, position: np.ndarray, pscore_item_position: np.ndarray, evaluation_policy_pscore_item_position: np.ndarray, alpha: float = 0.05, n_bootstrap_samples: int = 10000, random_state: Optional[int] = None, **kwargs, ) -> Dict[str, float]: """Estimate the confidence interval of the policy value using bootstrap. Parameters ---------- slate_id: array-like, shape (<= n_rounds * len_list,) Indices to differentiate slates (i.e., ranking or list of actions) reward: array-like, shape (<= n_rounds * len_list,) Slot-level rewards, i.e., :math:`r_{i}(l)`. position: array-like, shape (<= n_rounds * len_list,) Indices to differentiate slots/positions in a slate/ranking. pscore_item_position: array-like, shape (<= n_rounds * len_list,) Marginal probabilities of behavior policy choosing a particular action at each position (slot), i.e., :math:`\\pi_b(a_{i}(l) |x_i)`. evaluation_policy_pscore_item_position: array-like, shape (<= n_rounds * len_list,) Marginal probabilities of evaluation policy choosing a particular action at each position (slot), i.e., :math:`\\pi_e(a_{i}(l) |x_i)`. alpha: float, default=0.05 Significance level. n_bootstrap_samples: int, default=10000 Number of resampling performed in bootstrap sampling. random_state: int, default=None Controls the random seed in bootstrap sampling. Returns ---------- estimated_confidence_interval: Dict[str, float] Dictionary storing the estimated mean and upper-lower confidence bounds. """ check_iips_inputs( slate_id=slate_id, reward=reward, position=position, pscore_item_position=pscore_item_position, evaluation_policy_pscore_item_position=evaluation_policy_pscore_item_position, ) estimated_rewards = self._estimate_round_rewards( reward=reward, position=position, behavior_policy_pscore=pscore_item_position, evaluation_policy_pscore=evaluation_policy_pscore_item_position, ) return self._estimate_slate_confidence_interval_by_bootstrap( slate_id=slate_id, estimated_rewards=estimated_rewards, alpha=alpha, n_bootstrap_samples=n_bootstrap_samples, random_state=random_state, ) @dataclass class SlateRewardInteractionIPS(BaseSlateInverseProbabilityWeighting): """Reward Interaction Inverse Propensity Scoring (RIPS) Estimator. Note ------- RIPS estimates the policy value of evaluation policy :math:`\\pi_e` assuming the cascade click model (users interact with actions from the top position to the bottom in a slate). Please refer to Eq.(3)-Eq.(4) in Section 3 of McInerney et al.(2020) for more details. Parameters ---------- estimator_name: str, default='rips'. Name of the estimator. References ------------ James McInerney, Brian Brost, Praveen Chandar, Rishabh Mehrotra, and Ben Carterette. "Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions.", 2020. """ estimator_name: str = "rips" def estimate_policy_value( self, slate_id: np.ndarray, reward: np.ndarray, position: np.ndarray, pscore_cascade: np.ndarray, evaluation_policy_pscore_cascade: np.ndarray, **kwargs, ) -> float: """Estimate the policy value of evaluation policy. Parameters ---------- slate_id: array-like, shape (<= n_rounds * len_list,) Indices to differentiate slates (i.e., ranking or list of actions) reward: array-like, shape (<= n_rounds * len_list,) Slot-level rewards, i.e., :math:`r_{i}(l)`. position: array-like, shape (<= n_rounds * len_list,) Indices to differentiate slots/positions in a slate/ranking. pscore_cascade: array-like, shape (<= n_rounds * len_list,) Joint probabilities of behavior policy choosing a particular sequence of actions from the top position to the :math:`l`-th position (:math:`a_{1:l}`). This type of action choice probabilities corresponds to the cascade model. evaluation_policy_pscore_cascade: array-like, shape (<= n_rounds * len_list,) Joint probabilities of behavior policy choosing a particular sequence of actions from the top position to the :math:`l`-th position (:math:`a_{1:l}`). This type of action choice probabilities corresponds to the cascade model. Returns ---------- V_hat: float Estimated policy value of evaluation policy. """ check_rips_inputs( slate_id=slate_id, reward=reward, position=position, pscore_cascade=pscore_cascade, evaluation_policy_pscore_cascade=evaluation_policy_pscore_cascade, ) return ( self._estimate_round_rewards( reward=reward, position=position, behavior_policy_pscore=pscore_cascade, evaluation_policy_pscore=evaluation_policy_pscore_cascade, ).sum() / np.unique(slate_id).shape[0] ) def estimate_interval( self, slate_id: np.ndarray, reward: np.ndarray, position: np.ndarray, pscore_cascade: np.ndarray, evaluation_policy_pscore_cascade: np.ndarray, alpha: float = 0.05, n_bootstrap_samples: int = 10000, random_state: Optional[int] = None, **kwargs, ) -> Dict[str, float]: """Estimate the confidence interval of the policy value using bootstrap. Parameters ---------- slate_id: array-like, shape (<= n_rounds * len_list,) Indices to differentiate slates (i.e., ranking or list of actions) reward: array-like, shape (<= n_rounds * len_list,) Slot-level rewards, i.e., :math:`r_{i}(l)`. position: array-like, shape (<= n_rounds * len_list,) Indices to differentiate slots/positions in a slate/ranking. pscore_cascade: array-like, shape (<= n_rounds * len_list,) Joint probabilities of behavior policy choosing a particular sequence of actions from the top position to the :math:`l`-th position (:math:`a_{1:l}`). This type of action choice probabilities corresponds to the cascade model. evaluation_policy_pscore_cascade: array-like, shape (<= n_rounds * len_list,) Joint probabilities of behavior policy choosing a particular sequence of actions from the top position to the :math:`l`-th position (:math:`a_{1:l}`). This type of action choice probabilities corresponds to the cascade model. alpha: float, default=0.05 Significance level. n_bootstrap_samples: int, default=10000 Number of resampling performed in bootstrap sampling. random_state: int, default=None Controls the random seed in bootstrap sampling. Returns ---------- estimated_confidence_interval: Dict[str, float] Dictionary storing the estimated mean and upper-lower confidence bounds. """ check_rips_inputs( slate_id=slate_id, reward=reward, position=position, pscore_cascade=pscore_cascade, evaluation_policy_pscore_cascade=evaluation_policy_pscore_cascade, ) estimated_rewards = self._estimate_round_rewards( reward=reward, position=position, behavior_policy_pscore=pscore_cascade, evaluation_policy_pscore=evaluation_policy_pscore_cascade, ) return self._estimate_slate_confidence_interval_by_bootstrap( slate_id=slate_id, estimated_rewards=estimated_rewards, alpha=alpha, n_bootstrap_samples=n_bootstrap_samples, random_state=random_state, ) @dataclass class SlateCascadeDoublyRobust(BaseSlateOffPolicyEstimator): """Cascade Doubly Robust (Cascade-DR) Estimator. Note ------- Cascade-DR estimates the policy value of evaluation (ranking) policy :math:`\\pi_e` assuming the cascade click model (users interact with actions from the top position to the bottom in a slate). It also uses the Q function estimates :math:`\\hat{Q}_l` as a control variate, which is derived using `obp.ope.SlateRegressionModel`. Please refer to Section 3.1 of Kiyohara et al.(2022) for more details. Parameters ---------- len_list: int Length of a list of actions in a recommendation/ranking interface, slate size. When Open Bandit Dataset is used, 3 should be set. n_unique_action: int Number of unique actions. estimator_name: str, default='cascade-dr'. Name of the estimator. References ------------ Haruka Kiyohara, Yuta Saito, Tatsuya Matsuhiro, Yusuke Narita, Nobuyuki Shimizu, and Yasuo Yamamoto. "Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model.", 2022. """ len_list: int n_unique_action: int estimator_name: str = "cascade-dr" def __post_init__(self): """Initialize Class.""" check_scalar(self.n_unique_action, "n_unique_action", int, min_val=1) def _estimate_round_rewards( self, action: np.ndarray, reward: np.ndarray, position: np.ndarray, behavior_policy_pscore: np.ndarray, evaluation_policy_pscore: np.ndarray, q_hat: np.ndarray, evaluation_policy_action_dist: np.ndarray, **kwargs, ) -> np.ndarray: """Estimate rewards for each slate and slot (position). Parameters ---------- action: array-like, (n_rounds * len_list,) Actions observed at each slot in a ranking/slate in logged bandit data, i.e., :math:`a_{i}(l)`, which is chosen by the behavior policy :math:`\\pi_b`. reward: array-like, shape (n_rounds * len_list,) Slot-level rewards observed for each data in logged bandit data, i.e., :math:`r_{i}(l)`. position: array-like, shape (n_rounds * len_list,) Indices to differentiate slots/positions in a slate/ranking. pscore_cascade: array-like, shape (n_rounds * len_list,) Joint probabilities of behavior policy choosing a particular sequence of actions from the top position to the :math:`l`-th position (:math:`a_{1:l}`). This type of action choice probabilities corresponds to the cascade model. evaluation_policy_pscore_cascade: array-like, shape (n_rounds * len_list,) Joint probabilities of evaluation policy choosing a particular sequence of actions from the top position to the :math:`l`-th position (:math:`a_{1:l}`). This type of action choice probabilities corresponds to the cascade model. q_hat: array-like (n_rounds * len_list * n_unique_actions, ) :math:`\\hat{Q}_l` for all unique actions, i.e., :math:`\\hat{Q}_{i,l}(x_i, a_i(1), \\ldots, a_i(l-1), a_i(l)) \\forall a_i(l) \\in \\mathcal{A}`. evaluation_policy_action_dist: array-like (n_rounds * len_list * n_unique_actions, ) Plackett-luce style action distribution induced by evaluation policy (action choice probabilities at each slot given previous action choices) , i.e., :math:`\\pi_e(a_i(l) | x_i, a_i(1), \\ldots, a_i(l-1)) \\forall a_i(l) \\in \\mathcal{A}`. Returns ---------- estimated_rewards: array-like, shape (n_rounds * len_list,) Rewards rewards for each slate and slot (position). """ # (n_rounds_ * len_list * n_unique_action, ) -> (n_rounds_, len_list, n_unique_action) q_hat_3d = q_hat.reshape((-1, self.len_list, self.n_unique_action)) # the estimated Q functions for the action taken by the behavior policy # (n_rounds_, len_list, n_unique_action) -> (n_rounds_ * len_list, ) q_hat_for_observed_action = [] for i in range(self.n_rounds_): for pos_ in range(self.len_list): q_hat_for_observed_action.append( q_hat_3d[i, pos_, action[i * self.len_list + pos_]] ) q_hat_for_observed_action = np.array(q_hat_for_observed_action) # the expected Q function under the evaluation policy # (n_rounds_ * len_list * n_unique_action, ) -> (n_rounds_, len_list, n_unique_action) -> (n_rounds_, len_list) -> (n_rounds_ * len_list, ) expected_q_hat_under_eval_policy = ( (evaluation_policy_action_dist * q_hat) .reshape((-1, self.len_list, self.n_unique_action)) .sum(axis=2) .flatten() ) # importance weights # (n_rounds * len_list, ) iw = evaluation_policy_pscore / behavior_policy_pscore iw_prev = np.roll(iw, 1) iw_prev[np.array([i * self.len_list for i in range(self.n_rounds_)])] = 1 # estimate policy value given each round and slot in a doubly robust manner estimated_rewards = ( iw * (reward - q_hat_for_observed_action) + iw_prev * expected_q_hat_under_eval_policy ) return estimated_rewards def estimate_policy_value( self, slate_id: np.ndarray, action: np.ndarray, reward: np.ndarray, position: np.ndarray, pscore_cascade: np.ndarray, evaluation_policy_pscore_cascade: np.ndarray, q_hat: np.ndarray, evaluation_policy_action_dist: np.ndarray, **kwargs, ) -> float: """Estimate the policy value of evaluation policy. Parameters ---------- slate_id: array-like, shape (n_rounds * len_list,) Indices to differentiate slates (i.e., ranking or list of actions) action: array-like, (n_rounds * len_list,) Actions observed at each slot in a ranking/slate in logged bandit data, i.e., :math:`a_{i}(l)`, which is chosen by the behavior policy :math:`\\pi_b`. reward: array-like, shape (n_rounds * len_list,) Slot-level rewards observed for each data in logged bandit data, i.e., :math:`r_{i}(l)`. position: array-like, shape (n_rounds * len_list,) Indices to differentiate slots/positions in a slate/ranking. pscore_cascade: array-like, shape (n_rounds * len_list,) Joint probabilities of behavior policy choosing a particular sequence of actions from the top position to the :math:`l`-th position (:math:`a_{1:l}`). evaluation_policy_pscore_cascade: array-like, shape (n_rounds * len_list,) Joint probabilities of evaluation policy choosing a particular sequence of actions from the top position to the :math:`l`-th position (:math:`a_{1:l}`). This type of action choice probabilities corresponds to the cascade model. q_hat: array-like (n_rounds * len_list * n_unique_actions, ) :math:`\\hat{Q}_l` for all unique actions, i.e., :math:`\\hat{Q}_{i,l}(x_i, a_i(1), \\ldots, a_i(l-1), a_i(l)) \\forall a_i(l) \\in \\mathcal{A}`. evaluation_policy_action_dist: array-like (n_rounds * len_list * n_unique_actions, ) Plackett-luce style action distribution induced by evaluation policy (action choice probabilities at each slot given previous action choices) , i.e., :math:`\\pi_e(a_i(l) | x_i, a_i(1), \\ldots, a_i(l-1)) \\forall a_i(l) \\in \\mathcal{A}`. Returns ---------- V_hat: array-like, shape (n_rounds * len_list,) Estimated policy value of evaluation policy. """ check_cascade_dr_inputs( n_unique_action=self.n_unique_action, slate_id=slate_id, action=action, reward=reward, position=position, pscore_cascade=pscore_cascade, evaluation_policy_pscore_cascade=evaluation_policy_pscore_cascade, q_hat=q_hat, evaluation_policy_action_dist=evaluation_policy_action_dist, ) self.n_rounds_ = np.unique(slate_id).shape[0] return ( self._estimate_round_rewards( action=action, reward=reward, position=position, behavior_policy_pscore=pscore_cascade, evaluation_policy_pscore=evaluation_policy_pscore_cascade, q_hat=q_hat, evaluation_policy_action_dist=evaluation_policy_action_dist, ).sum() / self.n_rounds_ ) def estimate_interval( self, slate_id: np.ndarray, action: np.ndarray, reward: np.ndarray, position: np.ndarray, pscore_cascade: np.ndarray, evaluation_policy_pscore_cascade: np.ndarray, q_hat: np.ndarray, evaluation_policy_action_dist: np.ndarray, alpha: float = 0.05, n_bootstrap_samples: int = 10000, random_state: Optional[int] = None, **kwargs, ) -> Dict[str, float]: """Estimate the confidence interval of the policy value using bootstrap. Parameters ---------- slate_id: array-like, shape (n_rounds * len_list,) Indices to differentiate slates (i.e., ranking or list of actions) action: array-like, (n_rounds * len_list,) Actions observed at each slot in a ranking/slate in logged bandit data, i.e., :math:`a_{i}(l)`, which is chosen by the behavior policy :math:`\\pi_b`. reward: array-like, shape (n_rounds * len_list,) Slot-level rewards observed for each data in logged bandit data, i.e., :math:`r_{i}(l)`. position: array-like, shape (n_rounds * len_list,) Indices to differentiate slots/positions in a slate/ranking. pscore_cascade: array-like, shape (n_rounds * len_list,) Joint probabilities of behavior policy choosing a particular sequence of actions from the top position to the :math:`l`-th position (:math:`a_{1:l}`). evaluation_policy_pscore_cascade: array-like, shape (n_rounds * len_list,) Joint probabilities of evaluation policy choosing a particular sequence of actions from the top position to the :math:`l`-th position (:math:`a_{1:l}`). This type of action choice probabilities corresponds to the cascade model. q_hat: array-like (n_rounds * len_list * n_unique_actions, ) :math:`\\hat{Q}_l` for all unique actions, i.e., :math:`\\hat{Q}_{i,l}(x_i, a_i(1), \\ldots, a_i(l-1), a_i(l)) \\forall a_i(l) \\in \\mathcal{A}`. evaluation_policy_action_dist: array-like (n_rounds * len_list * n_unique_actions, ) Plackett-luce style action distribution induced by evaluation policy (action choice probabilities at each slot given previous action choices) , i.e., :math:`\\pi_e(a_i(l) | x_i, a_i(1), \\ldots, a_i(l-1)) \\forall a_i(l) \\in \\mathcal{A}`. alpha: float, default=0.05 Significance level. n_bootstrap_samples: int, default=10000 Number of resampling performed in bootstrap sampling. random_state: int, default=None Controls the random seed in bootstrap sampling. Returns ---------- estimated_confidence_interval: Dict[str, float] Dictionary storing the estimated mean and upper-lower confidence bounds. """ check_cascade_dr_inputs( n_unique_action=self.n_unique_action, slate_id=slate_id, action=action, reward=reward, position=position, pscore_cascade=pscore_cascade, evaluation_policy_pscore_cascade=evaluation_policy_pscore_cascade, q_hat=q_hat, evaluation_policy_action_dist=evaluation_policy_action_dist, ) self.n_rounds_ = np.unique(slate_id).shape[0] estimated_rewards = self._estimate_round_rewards( action=action, reward=reward, position=position, behavior_policy_pscore=pscore_cascade, evaluation_policy_pscore=evaluation_policy_pscore_cascade, q_hat=q_hat, evaluation_policy_action_dist=evaluation_policy_action_dist, ) return self._estimate_slate_confidence_interval_by_bootstrap( slate_id=slate_id, estimated_rewards=estimated_rewards, alpha=alpha, n_bootstrap_samples=n_bootstrap_samples, random_state=random_state, ) def _estimate_slate_confidence_interval_by_bootstrap( self, slate_id: np.ndarray, estimated_rewards: np.ndarray, alpha: float = 0.05, n_bootstrap_samples: int = 10000, random_state: Optional[int] = None, ) -> Dict[str, float]: """Estimate the confidence interval of the policy value using bootstrap. Parameters ---------- slate_id: array-like, shape (<= n_rounds * len_list,) Indices to differentiate slates (i.e., ranking or list of actions) estimated_rewards: array-like, shape (<= n_rounds * len_list,) Rewards estimated for each slate and slot (position). alpha: float, default=0.05 Significance level. n_bootstrap_samples: int, default=10000 Number of resampling performed in bootstrap sampling. random_state: int, default=None Controls the random seed in bootstrap sampling. Returns ---------- estimated_confidence_interval: Dict[str, float] Dictionary storing the estimated mean and upper-lower confidence bounds. """ unique_slate = np.unique(slate_id) # sum estimated_rewards in each slate estimated_round_rewards = list() for slate in unique_slate: estimated_round_rewards.append(estimated_rewards[slate_id == slate].sum()) estimated_round_rewards = np.array(estimated_round_rewards) return estimate_confidence_interval_by_bootstrap( samples=estimated_round_rewards, alpha=alpha, n_bootstrap_samples=n_bootstrap_samples, random_state=random_state, ) @dataclass class BaseSlateSelfNormalizedInverseProbabilityWeighting( BaseSlateInverseProbabilityWeighting ): """Base Class of Self-Normalized Inverse Probability Weighting Estimators for the slate contextual bandit setting. len_list: int (> 1) Length of a list of actions in a recommendation/ranking inferface, slate size. When Open Bandit Dataset is used, `len_list=3`. """ len_list: int def _estimate_round_rewards( self, reward: np.ndarray, position: np.ndarray, behavior_policy_pscore: np.ndarray, evaluation_policy_pscore: np.ndarray, **kwargs, ) -> np.ndarray: """Self-Normalized estimated rewards for each slate and slot (position). Parameters ---------- reward: array-like, shape (<= n_rounds * len_list,) Slot-level rewards, i.e., :math:`r_{i}(l)`. position: array-like, shape (<= n_rounds * len_list,) Indices to differentiate slots/positions in a slate/ranking. behavior_policy_pscore: array-like, shape (<= n_rounds * len_list,) Marginal probabilities of behavior policy choosing a particular action at each position (slot) or joint probabilities of behavior policy choosing a whole slate/ranking of actions. evaluation_policy_pscore: array-like, shape (<= n_rounds * len_list,) Marginal probabilities of evaluation policy choosing a particular action at each slot/position or joint probabilities of evaluation policy choosing a whole slate/ranking of actions. Returns ---------- estimated_rewards: array-like, shape (<= n_rounds * len_list,) Self-Normalized rewards estimated for each slate and slot (position). """ estimated_rewards = np.zeros_like(behavior_policy_pscore) iw = np.zeros_like(behavior_policy_pscore) for pos_ in range(self.len_list): idx = position == pos_ iw[idx] = evaluation_policy_pscore[idx] / behavior_policy_pscore[idx] estimated_rewards[idx] = reward[idx] * iw[idx] / iw[idx].mean() return estimated_rewards @dataclass class SelfNormalizedSlateStandardIPS( SlateStandardIPS, BaseSlateSelfNormalizedInverseProbabilityWeighting ): """Self-Normalized Standard Inverse Propensity Scoring (SNSIPS) Estimator. Note ------- SNSIPS is the self-normalized version of `obp.ope.SlateStandardIPS`. SNSIPS calculates the empirical average of importance weights and normalizes the observed slate-level rewards by the empirical average of the importance weights. A Self-Normalized estimator is not unbiased even when the behavior policy is known. However, it is still consistent for the true policy value and gains some stability in OPE. See the reference papers for more details. Parameters ---------- estimator_name: str, default='snsips'. Name of the estimator. References ---------- James McInerney, Brian Brost, Praveen Chandar, Rishabh Mehrotra, and Ben Carterette. "Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions.", 2020. Adith Swaminathan and Thorsten Joachims. "The Self-normalized Estimator for Counterfactual Learning.", 2015. Nathan Kallus and Masatoshi Uehara. "Intrinsically Efficient, Stable, and Bounded Off-Policy Evaluation for Reinforcement Learning.", 2019. """ estimator_name: str = "snsips" def _estimate_round_rewards( self, reward: np.ndarray, position: np.ndarray, behavior_policy_pscore: np.ndarray, evaluation_policy_pscore: np.ndarray, **kwargs, ) -> np.ndarray: """Estimate rewards for each slate and slot (position). Parameters ---------- reward: array-like, shape (<= n_rounds * len_list,) Slot-level rewards, i.e., :math:`r_{i}(l)`. position: array-like, shape (<= n_rounds * len_list,) Indices to differentiate slots/positions in a slate/ranking. pscore: array-like, shape (<= n_rounds * len_list,) Joint probabilities of behavior policy choosing a slate action, i.e., :math:`\\pi_b(a_i|x_i)`. This parameter must be unique in each slate. evaluation_policy_pscore: array-like, shape (<= n_rounds * len_list,) Joint probabilities of evaluation policy choosing a slate action, i.e., :math:`\\pi_e(a_i|x_i)`. This parameter must be unique in each slate. Returns ---------- estimated_rewards: array-like, shape (<= n_rounds * len_list,) Rewards estimated by the SNSIPS estimator for each slate and slot (position). """ estimated_rewards = np.zeros_like(behavior_policy_pscore) iw = evaluation_policy_pscore / behavior_policy_pscore estimated_rewards = reward * iw / iw.mean() return estimated_rewards @dataclass class SelfNormalizedSlateIndependentIPS( SlateIndependentIPS, BaseSlateSelfNormalizedInverseProbabilityWeighting ): """Self-Normalized Independent Inverse Propensity Scoring (SNIIPS) Estimator. Note ------- SNIIPS is the self-normalized version of `obp.ope.SlateIndependentIPS`. SNIIPS calculates the slot-level empirical average of importance weights and normalizes the observed slot-level rewards by the empirical average of the importance weights. A Self-Normalized estimator is not unbiased even when the behavior policy is known. However, it is still consistent for the true policy value and gains some stability in OPE. See the reference papers for more details. Parameters ---------- estimator_name: str, default='sniips'. Name of the estimator. References ---------- Shuai Li, Yasin Abbasi-Yadkori, Branislav Kveton, S. Muthukrishnan, Vishwa Vinay, Zheng Wen. "Offline Evaluation of Ranking Policies with Click Models", 2018. James McInerney, Brian Brost, Praveen Chandar, Rishabh Mehrotra, and Ben Carterette. "Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions.", 2020. Adith Swaminathan and Thorsten Joachims. "The Self-normalized Estimator for Counterfactual Learning.", 2015. Nathan Kallus and Masatoshi Uehara. "Intrinsically Efficient, Stable, and Bounded Off-Policy Evaluation for Reinforcement Learning.", 2019. """ estimator_name: str = "sniips" @dataclass class SelfNormalizedSlateRewardInteractionIPS( SlateRewardInteractionIPS, BaseSlateSelfNormalizedInverseProbabilityWeighting ): """Self-Normalized Reward Interaction Inverse Propensity Scoring (SNRIPS) Estimator. Note ------- SNRIPS is the self-normalized version of `obp.ope.SlateRewardInteractionIPS`. SNRIPS calculates the slot-level empirical average of the importance weights and normalizes the observed slot-level rewards by the empirical average of the importance weights. A Self-Normalized estimator is not unbiased even when the behavior policy is known. However, it is still consistent for the true policy value and gains some stability in OPE. See the reference papers for more details. Parameters ---------- estimator_name: str, default='snrips'. Name of the estimator. References ---------- James McInerney, Brian Brost, Praveen Chandar, Rishabh Mehrotra, and Ben Carterette. "Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions.", 2020. Adith Swaminathan and Thorsten Joachims. "The Self-normalized Estimator for Counterfactual Learning.", 2015. Nathan Kallus and Masatoshi Uehara. "Intrinsically Efficient, Stable, and Bounded Off-Policy Evaluation for Reinforcement Learning.", 2019. """ estimator_name: str = "snrips"
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7
6e678d1ca600ccf2b1b89f797f78a8fba0778072
1,246
py
Python
Server/core/pnetserver.py
PNet-Communications/PNet
3274ba511e09dea0a05c63999a1c0da9bc081303
[ "Apache-2.0" ]
null
null
null
Server/core/pnetserver.py
PNet-Communications/PNet
3274ba511e09dea0a05c63999a1c0da9bc081303
[ "Apache-2.0" ]
null
null
null
Server/core/pnetserver.py
PNet-Communications/PNet
3274ba511e09dea0a05c63999a1c0da9bc081303
[ "Apache-2.0" ]
null
null
null
#!/usr/bin/python import socket from pathlib import Path import keyboard from getpass import getpass pwd = Path("key.txt") if pwd.is_file(): s = socket.socket() hostip = socket.gethostbyname(socket.gethostname()) host = socket.gethostname() port = 9090 s.bind((host,port)) print("PNet server IP: " + hostip) print("Waiting for connection...") s.listen(5) while True: conn,addr = s.accept() print('Got Connection from', addr) message = "Successfully connected to " + hostip conn.send(message.encode()) else: password_provided = getpass("Enter a secure password: ") file = open(r"key.txt", "w") file.write(password_provided) file.close() s = socket.socket() hostip = socket.gethostbyname(socket.gethostname()) host = socket.gethostname() port = 9090 s.bind((host,port)) print("PNet server IP: " + hostip) print("Waiting for connection...") s.listen(5) while True: conn,addr = s.accept() print('Got Connection from', addr) message = "Successfully connected to " + hostip conn.send(message.encode())
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1,246
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7
6e680e3238315926616c50adf544fb1e816b70d8
1,435
py
Python
temporalio/bridge/proto/bridge/__init__.py
cretz/temporal-sdk-python
431ca1967d365556a9cf5aa9aac00243b71059f8
[ "MIT" ]
55
2022-01-31T22:02:22.000Z
2022-03-30T11:17:21.000Z
temporalio/bridge/proto/bridge/__init__.py
cretz/temporal-sdk-python
431ca1967d365556a9cf5aa9aac00243b71059f8
[ "MIT" ]
7
2022-02-04T14:08:46.000Z
2022-03-22T13:27:30.000Z
temporalio/bridge/proto/bridge/__init__.py
cretz/temporal-sdk-python
431ca1967d365556a9cf5aa9aac00243b71059f8
[ "MIT" ]
4
2022-01-31T17:31:49.000Z
2022-03-29T01:04:46.000Z
from .bridge_pb2 import ( CompleteActivityTaskRequest, CompleteActivityTaskResponse, CompleteWorkflowActivationRequest, CompleteWorkflowActivationResponse, CreateClientRequest, CreateWorkerRequest, FetchBufferedLogsRequest, FetchBufferedLogsResponse, InitResponse, InitTelemetryRequest, LogLevel, PollActivityTaskRequest, PollActivityTaskResponse, PollWorkflowActivationRequest, PollWorkflowActivationResponse, RecordActivityHeartbeatRequest, RecordActivityHeartbeatResponse, RegisterWorkerResponse, RequestWorkflowEvictionRequest, RequestWorkflowEvictionResponse, ShutdownWorkerRequest, ShutdownWorkerResponse, ) __all__ = [ "CompleteActivityTaskRequest", "CompleteActivityTaskResponse", "CompleteWorkflowActivationRequest", "CompleteWorkflowActivationResponse", "CreateClientRequest", "CreateWorkerRequest", "FetchBufferedLogsRequest", "FetchBufferedLogsResponse", "InitResponse", "InitTelemetryRequest", "LogLevel", "PollActivityTaskRequest", "PollActivityTaskResponse", "PollWorkflowActivationRequest", "PollWorkflowActivationResponse", "RecordActivityHeartbeatRequest", "RecordActivityHeartbeatResponse", "RegisterWorkerResponse", "RequestWorkflowEvictionRequest", "RequestWorkflowEvictionResponse", "ShutdownWorkerRequest", "ShutdownWorkerResponse", ]
28.7
41
0.774216
49
1,435
22.571429
0.55102
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1,435
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0
0
0
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0
0
0
8
6e6bd2c417ec8bbe4c80b362190d353d960fffc9
12,139
py
Python
tests/unit/html_elements_test_io/html_elements_6_functions_io.py
MickyHCorbett/MorfLess
9761197d7767c250cc27262e1ab41adf21c59333
[ "MIT" ]
null
null
null
tests/unit/html_elements_test_io/html_elements_6_functions_io.py
MickyHCorbett/MorfLess
9761197d7767c250cc27262e1ab41adf21c59333
[ "MIT" ]
null
null
null
tests/unit/html_elements_test_io/html_elements_6_functions_io.py
MickyHCorbett/MorfLess
9761197d7767c250cc27262e1ab41adf21c59333
[ "MIT" ]
null
null
null
# import libraries.constants as ct import libraries.globals as gb import libraries.schematics as sch from collections import OrderedDict # test_values_1 = [\ { 'remark': 'Test Case 1:pcom_insert_quote_box_command - HEADER placement, empty syntax', 'syntax': '', 'custom_class': '', 'placement': ct.PCOM_HEADER_PLACEMENT, 'type': '', 'settings': gb.DEFAULT_SETTINGS, 'assertEqual': """ <div class="post pm-quote clearfix-small"> <span class="pm-quotation-marks"><i class="fa fa-quote-left fa-3x fa-pull-left" aria-hidden="true"></i></span> <span class="pm-quote-ref"> </span><!-- end of .pm-quote-ref --> </div><!-- end of .pm-quote --> """ }, { 'remark': 'Test Case 2:pcom_insert_quote_box_command - MAIN placement, body only and custom class', 'syntax': 'body={ This is the body of the quote with various things in it }:', 'custom_class': 'my-class', 'placement': ct.PCOM_MAIN_PLACEMENT, 'type': '', 'settings': gb.DEFAULT_SETTINGS, 'assertEqual': """ <div class="main-outer clearfix-small pm-quote-wrap my-class"> <div class="main-inner clearfix-small pm-quote-wrap my-class"> <div class="post pm-quote clearfix-small my-class"> <span class="pm-quotation-marks"><i class="fa fa-quote-left fa-3x fa-pull-left" aria-hidden="true"></i></span> This is the body of the quote with various things in it <span class="pm-quote-ref"> </span><!-- end of .pm-quote-ref --> </div><!-- end of .pm-quote --> </div><!-- end of .main-inner --> </div><!-- end of .main-outer --> """ }, { 'remark': 'Test Case 3:pcom_insert_quote_box_command - MAIN placement, body and ref, custom class', 'syntax': """ body={ This is the body of the quote with various things in it }: ref={ John of Old }: """, 'custom_class': 'my-class', 'placement': ct.PCOM_MAIN_PLACEMENT, 'type': '', 'settings': gb.DEFAULT_SETTINGS, 'assertEqual': """ <div class="main-outer clearfix-small pm-quote-wrap my-class"> <div class="main-inner clearfix-small pm-quote-wrap my-class"> <div class="post pm-quote clearfix-small my-class"> <span class="pm-quotation-marks"><i class="fa fa-quote-left fa-3x fa-pull-left" aria-hidden="true"></i></span> This is the body of the quote with various things in it <span class="pm-quote-ref">John of Old </span><!-- end of .pm-quote-ref --> </div><!-- end of .pm-quote --> </div><!-- end of .main-inner --> </div><!-- end of .main-outer --> """ }, { 'remark': 'Test Case 4:pcom_insert_quote_box_command - FOOTER placement, body, ref, url custom class', 'syntax': """ body={ This is the body of the quote with various things in it }: ref={ John of Old }: link={ http://something/to/linkto/ }: """, 'custom_class': 'my-class', 'placement': ct.PCOM_FOOTER_PLACEMENT, 'type': '', 'settings': gb.DEFAULT_SETTINGS, 'assertEqual': """ <div class="post pm-quote clearfix-small my-class"> <span class="pm-quotation-marks"><i class="fa fa-quote-left fa-3x fa-pull-left" aria-hidden="true"></i></span> This is the body of the quote with various things in it <span class="pm-quote-ref"> <a href="http://something/to/linkto/">John of Old</a> </span><!-- end of .pm-quote-ref --> </div><!-- end of .pm-quote --> """ }, ] test_values_2 = [\ { 'remark': 'Test Case 1:pcom_add_header_content_to_head - FOOTER placement, syntax', 'syntax': """ content={ Something here Something there }: """, 'custom_class': 'my-class', 'placement': ct.PCOM_FOOTER_PLACEMENT, 'type': '', 'settings': gb.DEFAULT_SETTINGS, 'assertEqual': [] }, { 'remark': 'Test Case 2:pcom_add_header_content_to_head - HEADER placement, empty syntax', 'syntax': """ """, 'custom_class': 'my-class', 'placement': ct.PCOM_HEADER_PLACEMENT, 'type': '', 'settings': gb.DEFAULT_SETTINGS, 'assertEqual': [] }, { 'remark': 'Test Case 3:pcom_add_header_content_to_head - HEADER placement, syntax', 'syntax': """ content={ Something here Something there }: """, 'custom_class': 'my-class', 'placement': ct.PCOM_HEADER_PLACEMENT, 'type': '', 'settings': gb.DEFAULT_SETTINGS, 'assertEqual': ['Something here\n Something there'] }, { 'remark': 'Test Case 4:pcom_add_header_content_to_head - HEADER placement, syntax with custom added', 'syntax': """ content_CUSTOM: this thing ={ Something here Something there }: """, 'custom_class': 'my-class', 'placement': ct.PCOM_HEADER_PLACEMENT, 'type': '', 'settings': gb.DEFAULT_SETTINGS, 'assertEqual': ['Something here\n Something there'] }, { 'remark': 'Test Case 5:pcom_add_header_content_to_head - HEADER placement, syntax with custom added and other keywords', 'syntax': """ content_CUSTOM: this thing ={ Something here Something there }: ref={ I know }: """, 'custom_class': 'my-class', 'placement': ct.PCOM_HEADER_PLACEMENT, 'type': '', 'settings': gb.DEFAULT_SETTINGS, 'assertEqual': ['Something here\n Something there'] }, ] test_values_3 = [\ { 'remark': 'Test Case 1:pcom_add_footer_content_to_footer - HEADER placement, syntax', 'syntax': """ content={ Something here Something there }: """, 'custom_class': 'my-class', 'placement': ct.PCOM_HEADER_PLACEMENT, 'type': '', 'settings': gb.DEFAULT_SETTINGS, 'assertEqual': [] }, { 'remark': 'Test Case 2:pcom_add_footer_content_to_footer - FOOTER placement, empty syntax', 'syntax': """ """, 'custom_class': 'my-class', 'placement': ct.PCOM_FOOTER_PLACEMENT, 'type': '', 'settings': gb.DEFAULT_SETTINGS, 'assertEqual': [] }, { 'remark': 'Test Case 3:pcom_add_footer_content_to_footer - FOOTER placement, syntax', 'syntax': """ content={ Something here Something there }: """, 'custom_class': 'my-class', 'placement': ct.PCOM_FOOTER_PLACEMENT, 'type': '', 'settings': gb.DEFAULT_SETTINGS, 'assertEqual': ['Something here\n Something there'] }, { 'remark': 'Test Case 4:pcom_add_footer_content_to_footer - FOOTER placement, syntax with custom added', 'syntax': """ content_CUSTOM: this thing ={ Something here Something there }: """, 'custom_class': 'my-class', 'placement': ct.PCOM_FOOTER_PLACEMENT, 'type': '', 'settings': gb.DEFAULT_SETTINGS, 'assertEqual': ['Something here\n Something there'] }, { 'remark': 'Test Case 5:pcom_add_footer_content_to_footer - FOOTER placement, syntax with custom added and other keywords', 'syntax': """ content_CUSTOM: this thing ={ Something here Something there }: ref={ I know }: """, 'custom_class': 'my-class', 'placement': ct.PCOM_FOOTER_PLACEMENT, 'type': '', 'settings': gb.DEFAULT_SETTINGS, 'assertEqual': ['Something here\n Something there'] }, ] test_values_4 = [\ { 'remark': 'Test Case 1:pcom_process_section_command - FOOTER placement, empty syntax', 'syntax': """ """, 'custom_class': '', 'placement': ct.PCOM_FOOTER_PLACEMENT, 'type': '', 'settings': gb.DEFAULT_SETTINGS, 'assertEqual': """ """ }, { 'remark': 'Test Case 2:pcom_process_section_command - FOOTER placement, syntax - name identifier only but empty name', 'syntax': """ {{ }} """, 'custom_class': '', 'placement': ct.PCOM_FOOTER_PLACEMENT, 'type': '', 'settings': gb.DEFAULT_SETTINGS, 'assertEqual': """ """ }, { 'remark': 'Test Case 3:pcom_process_section_command - FOOTER placement, syntax - name identifier', 'syntax': """ {{ section-1 }} """, 'custom_class': '', 'placement': ct.PCOM_FOOTER_PLACEMENT, 'type': '', 'settings': gb.DEFAULT_SETTINGS, 'assertEqual': ct.PCOM_NO_ENTRY }, { 'remark': 'Test Case 4:pcom_process_section_command - FOOTER placement, syntax - name identifier, commands before and after but with wrong identifiers', 'syntax': """ %%CONTENT:: {{ section-1 }} %%CONTENT_META:: """, 'custom_class': '', 'placement': ct.PCOM_FOOTER_PLACEMENT, 'type': '', 'settings': gb.DEFAULT_SETTINGS, 'assertEqual': """ <div id="section-1" class="pm-section "> NONE </div><!-- end of section --> """ }, { 'remark': 'Test Case 5:pcom_process_section_command - MAIN placement, syntax - name identifier, commands before and after but with wrong identifiers, custom class', 'syntax': """ [%CONTENT:] TEXT=[ Something here]: {{ section-1 }} [%CONTENT_META:] """, 'custom_class': 'my-class', 'placement': ct.PCOM_MAIN_PLACEMENT, 'type': '', 'settings': gb.DEFAULT_SETTINGS, 'assertEqual': '\ $$SIDEBAR_TAB%%<div id="section-1" class="pm-section my-class">\n\ \n\ \n\ <div class="main-outer clearfix-small">\n\ <div class="main-inner clearfix-small">\n\ <div class="post">\n\ Something here\n\ </div><!-- end of .post -->\n\ </div><!-- end of .main-inner -->\n\ </div><!-- end of .main-outer -->\n\ \n\ CONTENT_META=[MAIN:title,author,date_created,date_modified]:\n\ $$SIDEBAR_TAB%%</div><!-- end of section -->\n' }, { 'remark': 'Test Case 6:pcom_process_section_command - MAIN WITH SIDEBAR placement, syntax - name identifier, commands before and after but with wrong identifiers, custom class', 'syntax': """ [%CONTENT:] TEXT=[ Something here]: {{ section-1 }} [%CONTENT_META:] """, 'custom_class': 'my-class', 'placement': ct.PCOM_MAIN_WITH_SIDEBAR_PLACEMENT, 'type': '', 'settings': gb.DEFAULT_SETTINGS, 'assertEqual': '\ <div id="section-1" class="pm-section my-class">\n\ \n\ <div class="post">\n\ Something here\n\ </div><!-- end of .post -->\n\ \n\ CONTENT_META=[MAIN_WITH_SIDEBAR:title,author,date_created,date_modified]:\n\ </div><!-- end of section -->' }, ] test_values_5 = [\ { 'remark': 'Test Case 1:pcom_add_raw_content_command - custom class, no syntax, main with sidebar placement', 'syntax': """ """, 'custom_class': 'my-class', 'placement': ct.PCOM_MAIN_WITH_SIDEBAR_PLACEMENT, 'type': '', 'settings': gb.DEFAULT_SETTINGS, 'assertEqual': '' }, { 'remark': 'Test Case 2:pcom_add_raw_content_command - custom class, wrong subcommand, main placement', 'syntax': """ THING=[ This text here And this ]: """, 'custom_class': 'my-class', 'placement': ct.PCOM_MAIN_PLACEMENT, 'type': '', 'settings': gb.DEFAULT_SETTINGS, 'assertEqual': '' }, { 'remark': 'Test Case 3:pcom_add_raw_content_command - custom class, subcommand, main placement', 'syntax': """ TEXT=[ This text here And this ]: """, 'custom_class': 'my-class', 'placement': ct.PCOM_MAIN_PLACEMENT, 'type': '', 'settings': gb.DEFAULT_SETTINGS, 'assertEqual': """ This text here And this """ }, { 'remark': 'Test Case 4:pcom_add_raw_content_command - custom class, subcommand, footer placement', 'syntax': """ TEXT=[ This text here again And this ]: """, 'custom_class': 'my-class', 'placement': ct.PCOM_FOOTER_PLACEMENT, 'type': 'this', 'settings': gb.DEFAULT_SETTINGS, 'assertEqual': """ This text here again And this """ }, { 'remark': 'Test Case 5:pcom_add_raw_content_command - custom class, keyword, footer placement', 'syntax': """ text={ This text here again And this }: """, 'custom_class': 'my-class', 'placement': ct.PCOM_FOOTER_PLACEMENT, 'type': 'this', 'settings': gb.DEFAULT_SETTINGS, 'assertEqual': """ """ }, ]
24.424547
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0.60285
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8
42b553d0ee2c231e4a6c9d5f4d6eb496c202a390
214
py
Python
tiny_router/__init__.py
nekonoshiri/tiny-router
3bb808bcc9f9eb368ee390179dfc5e9d48cf8600
[ "MIT" ]
null
null
null
tiny_router/__init__.py
nekonoshiri/tiny-router
3bb808bcc9f9eb368ee390179dfc5e9d48cf8600
[ "MIT" ]
null
null
null
tiny_router/__init__.py
nekonoshiri/tiny-router
3bb808bcc9f9eb368ee390179dfc5e9d48cf8600
[ "MIT" ]
null
null
null
from .exceptions import MethodNotAllowed as MethodNotAllowed from .exceptions import ResourceNotFound as ResourceNotFound from .exceptions import RouteNotFound as RouteNotFound from .router import Router as Router
42.8
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42b86bec71cb812a2c306eea76367497f61de011
10,015
py
Python
django/electric_power_sale/migrations/0006_auto_20220309_0900.py
zcjwin/hasura-django-auth
fd052bb05f051ee7fdaecf9433d5f6d7db580ca9
[ "MIT" ]
null
null
null
django/electric_power_sale/migrations/0006_auto_20220309_0900.py
zcjwin/hasura-django-auth
fd052bb05f051ee7fdaecf9433d5f6d7db580ca9
[ "MIT" ]
1
2022-03-21T03:04:31.000Z
2022-03-21T03:04:31.000Z
django/electric_power_sale/migrations/0006_auto_20220309_0900.py
zcjwin/hasura-django-auth
fd052bb05f051ee7fdaecf9433d5f6d7db580ca9
[ "MIT" ]
null
null
null
# Generated by Django 3.2.12 on 2022-03-09 09:00 from django.conf import settings from django.db import migrations, models import django.db.models.deletion import electric_power_sale.models class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('api', '0008_auto_20220309_0900'), ('electric_power_sale', '0005_auto_20220303_0722'), ] operations = [ migrations.CreateModel( name='Contract', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200, verbose_name='合同名称')), ('contract_no', models.CharField(blank=True, max_length=40, null=True, verbose_name='合同编号')), ('contract_year', models.IntegerField(default=electric_power_sale.models.default_cur_year, verbose_name='所属年度')), ('contract_start_date', models.DateField(default=electric_power_sale.models.default_year_start_date, verbose_name='合同生效日期')), ('contract_end_date', models.DateField(default=electric_power_sale.models.default_year_end_date, verbose_name='合同结束日期')), ('contract_price_type', models.CharField(choices=[('price_type_common', '常规'), ('price_type_seprate_time', '分时段')], default='price_type_common', max_length=40, verbose_name='电价价方式')), ('price_common', models.DecimalField(decimal_places=4, default=0, max_digits=20, verbose_name='常规时段电价(元/KWA)')), ('price_peak', models.DecimalField(decimal_places=4, default=0, max_digits=20, verbose_name='峰时段电价(元/KWA)')), ('price_flat', models.DecimalField(decimal_places=4, default=0, max_digits=20, verbose_name='平时段电价(元/KWA)')), ('price_valley', models.DecimalField(decimal_places=4, default=0, max_digits=20, verbose_name='谷时段电价(元/KWA)')), ('state', models.CharField(default='draft', max_length=40, verbose_name='状态')), ('note', models.TextField(blank=True, null=True, verbose_name='备注1')), ('created_at', models.DateTimeField(default=electric_power_sale.models.default_cur_datetime, verbose_name='录入时间')), ('created_by', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, to=settings.AUTH_USER_MODEL, verbose_name='录入人')), ], ), migrations.CreateModel( name='MthAdjust', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('mth', models.IntegerField(default=electric_power_sale.models.default_cur_mth, verbose_name='月份')), ('state', models.CharField(default='draft', max_length=40, verbose_name='状态')), ('note', models.TextField(blank=True, null=True, verbose_name='备注')), ('created_at', models.DateTimeField(default=electric_power_sale.models.default_cur_datetime, verbose_name='录入时间')), ('created_by', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, to=settings.AUTH_USER_MODEL, verbose_name='录入人')), ('organization', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.organization', verbose_name='所属机构')), ], ), migrations.CreateModel( name='MthAdjustLine', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('state', models.CharField(default='draft', max_length=40, verbose_name='状态')), ('note', models.TextField(blank=True, null=True, verbose_name='备注')), ], ), migrations.AddField( model_name='agent', name='created_at', field=models.DateTimeField(default=electric_power_sale.models.default_cur_datetime, verbose_name='录入时间'), ), migrations.AddField( model_name='agent', name='created_by', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, to=settings.AUTH_USER_MODEL, verbose_name='录入人'), ), migrations.AlterField( model_name='customer', name='organization', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.organization', verbose_name='所属机构'), ), migrations.CreateModel( name='MthAdjustLineDetail', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('mth', models.IntegerField(default=electric_power_sale.models.default_cur_mth, verbose_name='月份')), ('previous_plan_common', models.DecimalField(decimal_places=4, default=0, max_digits=20, verbose_name='调整前计划电量-常规')), ('previous_plan_flat', models.DecimalField(decimal_places=4, default=0, max_digits=20, verbose_name='调整前计划电量-平时段')), ('previous_plan_valley', models.DecimalField(decimal_places=4, default=0, max_digits=20, verbose_name='调整前计划电量-谷时段')), ('previous_plan_peak', models.DecimalField(decimal_places=4, default=0, max_digits=20, verbose_name='调整前计划电量-峰时段')), ('adjust_plan_common', models.DecimalField(decimal_places=4, default=0, max_digits=20, verbose_name='计划电量调整-常规')), ('adjust_plan_flat', models.DecimalField(decimal_places=4, default=0, max_digits=20, verbose_name='计划电量调整-平时段')), ('adjust_plan_valley', models.DecimalField(decimal_places=4, default=0, max_digits=20, verbose_name='计划电量调整-谷时段')), ('adjust_plan_peak', models.DecimalField(decimal_places=4, default=0, max_digits=20, verbose_name='计划电量调整-峰时段')), ('state', models.CharField(default='draft', max_length=40, verbose_name='状态')), ('note', models.TextField(blank=True, null=True, verbose_name='备注')), ('mth_adjust_line', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='electric_power_sale.mthadjustline', verbose_name='月度电量调整子表')), ], ), migrations.AddField( model_name='mthadjustline', name='customer', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, to='electric_power_sale.customer', verbose_name='关联客户'), ), migrations.AddField( model_name='mthadjustline', name='mth_adjust', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='electric_power_sale.mthadjust', verbose_name='月度电量调整主表'), ), migrations.CreateModel( name='ContractLine', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('mth', models.IntegerField(default=electric_power_sale.models.default_cur_mth, verbose_name='月份')), ('plan_common', models.DecimalField(decimal_places=4, default=0, max_digits=20, verbose_name='计划电量-常规')), ('plan_flat', models.DecimalField(decimal_places=4, default=0, max_digits=20, verbose_name='计划电量-平时段')), ('plan_valley', models.DecimalField(decimal_places=4, default=0, max_digits=20, verbose_name='计划电量-谷时段')), ('plan_peak', models.DecimalField(decimal_places=4, default=0, max_digits=20, verbose_name='计划电量-峰时段')), ('adjust_plan_common', models.DecimalField(decimal_places=4, default=0, max_digits=20, verbose_name='计划电量调整-常规')), ('adjust_plan_flat', models.DecimalField(decimal_places=4, default=0, max_digits=20, verbose_name='计划电量调整-平时段')), ('adjust_plan_valley', models.DecimalField(decimal_places=4, default=0, max_digits=20, verbose_name='计划电量调整-谷时段')), ('adjust_plan_peak', models.DecimalField(decimal_places=4, default=0, max_digits=20, verbose_name='计划电量调整-峰时段')), ('act_common', models.DecimalField(decimal_places=4, default=0, max_digits=20, verbose_name='电量结算-常规')), ('act_flat', models.DecimalField(decimal_places=4, default=0, max_digits=20, verbose_name='电量结算-平时段')), ('act_valley', models.DecimalField(decimal_places=4, default=0, max_digits=20, verbose_name='电量结算-谷时段')), ('act_peak', models.DecimalField(decimal_places=4, default=0, max_digits=20, verbose_name='电量结算-峰时段')), ('price_common', models.DecimalField(decimal_places=4, default=0, max_digits=20, verbose_name='常规时段电价(元/KWA)')), ('price_peak', models.DecimalField(decimal_places=4, default=0, max_digits=20, verbose_name='峰时段电价(元/KWA)')), ('price_flat', models.DecimalField(decimal_places=4, default=0, max_digits=20, verbose_name='平时段电价(元/KWA)')), ('price_valley', models.DecimalField(decimal_places=4, default=0, max_digits=20, verbose_name='谷时段电价(元/KWA)')), ('state', models.CharField(default='draft', max_length=40, verbose_name='状态')), ('note', models.TextField(blank=True, null=True, verbose_name='备注1')), ('contract', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='electric_power_sale.contract', verbose_name='合同')), ], ), migrations.AddField( model_name='contract', name='customer', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, to='electric_power_sale.customer', verbose_name='关联客户'), ), migrations.AddField( model_name='contract', name='organization', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.organization', verbose_name='所属机构'), ), ]
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7
42dcb5755e55744e0fa7d78c77a8e24f869943e8
104
py
Python
crawler/crawler/services/config/__init__.py
amosproj/amos-ss2020-metadata-hub
f8434b27b306332c117a8dd20a8a55a3104d0f89
[ "MIT" ]
9
2020-04-23T14:22:48.000Z
2022-02-25T21:35:05.000Z
crawler/crawler/services/config/__init__.py
amosproj/amos-ss2020-metadata-hub
f8434b27b306332c117a8dd20a8a55a3104d0f89
[ "MIT" ]
42
2020-04-24T17:59:33.000Z
2022-02-16T01:09:23.000Z
crawler/crawler/services/config/__init__.py
amosproj/amos-ss2020-metadata-hub
f8434b27b306332c117a8dd20a8a55a3104d0f89
[ "MIT" ]
2
2020-08-17T11:19:44.000Z
2021-04-30T08:32:05.000Z
from .typedef import Config from .parser import ConfigParser from .parser import ConfigParsingException
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42f116c1a97ae3aa32e40cfcb80b11e23697abb4
13,917
py
Python
models/blocks.py
salmank255/ROADSlowFast
e939d8f79fe3eb6f3dd32e967a34530d00f45c8e
[ "Apache-2.0" ]
null
null
null
models/blocks.py
salmank255/ROADSlowFast
e939d8f79fe3eb6f3dd32e967a34530d00f45c8e
[ "Apache-2.0" ]
null
null
null
models/blocks.py
salmank255/ROADSlowFast
e939d8f79fe3eb6f3dd32e967a34530d00f45c8e
[ "Apache-2.0" ]
null
null
null
import torch.nn as nn import torch class RCU(nn.Module): def __init__(self, planes, kernel_size=1, stride=1, bias=False): super(RCU, self).__init__() # Module for recurrent part self.conv_whh = nn.Conv3d( planes, planes, kernel_size=kernel_size, stride=stride, bias=bias) def forward(self, in_data): h = in_data[:, :, 0, :, :] h = h.unsqueeze(2) out = h for i in range(1, in_data.size(2)): h = self.conv_whh(h) h = (h + in_data[:, :, i, :, :].unsqueeze(2)) / 2.0 out = torch.cat((out, h), 2) return out class BottleneckRCN(nn.Module): expansion = 4 def __init__(self, inplanes, planes, stride=1, temp_kernal=1, downsample=None): super(BottleneckRCN, self).__init__() self.temp_kernal = temp_kernal temp_pad = 1 if temp_kernal == 1: temp_pad = 0 self.conv1 = nn.Conv3d(inplanes, planes, kernel_size=( 1, 1, 1), padding=(0, 0, 0), bias=False) if self.temp_kernal > 1: self.rcu = RCU(planes, kernel_size=1, stride=1, bias=False) self.bn1 = nn.BatchNorm3d(planes) self.conv2 = nn.Conv3d(planes, planes, kernel_size=(1, 3, 3), stride=( 1, stride, stride), padding=(0, 1, 1), bias=False) self.bn2 = nn.BatchNorm3d(planes) self.conv3 = nn.Conv3d( planes, planes * self.expansion, kernel_size=1, bias=False) self.bn3 = nn.BatchNorm3d(planes * self.expansion) self.relu = nn.ReLU(inplace=True) self.downsample = downsample self.stride = stride def forward(self, x): residual = x # print(x.shape) out = self.conv1(x) if self.temp_kernal > 1: out = self.rcu(out) out = self.bn1(out) out = self.relu(out) out = self.conv2(out) out = self.bn2(out) out = self.relu(out) out = self.conv3(out) out = self.bn3(out) # print(out.shape) if self.downsample is not None: residual = self.downsample(x) # print(residual.shape) out += residual out = self.relu(out) return out class CLSTM(nn.Module): def __init__(self, planes, kernel_size=1, stride=1, bias=True): super(CLSTM, self).__init__() self.hidden_dim = planes self.recurrent_conv = nn.Conv2d( planes*2, planes*4, kernel_size=kernel_size, stride=stride, bias=bias) def forward(self, in_data): in_shape = in_data.shape h_curr = torch.zeros(in_shape[0], in_shape[1], in_shape[3], in_shape[4], device=in_data.device) c_curr = torch.zeros(in_shape[0], in_shape[1], in_shape[3], in_shape[4], device=in_data.device) out = None for i in range(in_data.size(2)): x = torch.cat((in_data[:, :, i, :, :], h_curr), 1) cx = self.recurrent_conv(x) it, ft, ot, gt = torch.split(cx, self.hidden_dim, dim=1) it = torch.sigmoid(it) ft = torch.sigmoid(ft) ot = torch.sigmoid(ot) gt = torch.tanh(gt) c_curr = ft * c_curr + it * gt h_curr = ot * torch.tanh(c_curr) if out is None: out = h_curr.unsqueeze(2) else: out = torch.cat((out, h_curr.unsqueeze(2)), 2) return out class BottleneckRCLSTM(nn.Module): expansion = 4 def __init__(self, inplanes, planes, stride=1, temp_kernal=1, downsample=None): super(BottleneckRCLSTM, self).__init__() self.temp_kernal = temp_kernal temp_pad = 1 if temp_kernal == 1: temp_pad = 0 self.conv1 = nn.Conv3d(inplanes, planes, kernel_size=( 1, 1, 1), padding=(0, 0, 0), bias=False) if self.temp_kernal > 1: self.clstm = CLSTM(planes, kernel_size=1, stride=1, bias=True) self.bn1 = nn.BatchNorm3d(planes) self.conv2 = nn.Conv3d(planes, planes, kernel_size=(1, 3, 3), stride=( 1, stride, stride), padding=(0, 1, 1), bias=False) self.bn2 = nn.BatchNorm3d(planes) self.conv3 = nn.Conv3d( planes, planes * self.expansion, kernel_size=1, bias=False) self.bn3 = nn.BatchNorm3d(planes * self.expansion) self.relu = nn.ReLU(inplace=True) self.downsample = downsample self.stride = stride def forward(self, x): residual = x # print(x.shape) out = self.conv1(x) if self.temp_kernal > 1: out1 = self.clstm(out) out = out1 + out out = self.bn1(out) out = self.relu(out) out = self.conv2(out) out = self.bn2(out) out = self.relu(out) out = self.conv3(out) out = self.bn3(out) # print(out.shape) if self.downsample is not None: residual = self.downsample(x) # print(residual.shape) out += residual out = self.relu(out) return out class CGRU(nn.Module): def __init__(self, planes, kernel_size=1, stride=1, bias=True): super(CGRU, self).__init__() self.hidden_dim = planes self.recurrent_conv_gates = nn.Conv2d( planes*2, planes*2, kernel_size=kernel_size, stride=stride, bias=bias) self.recurrent_conv_out = nn.Conv2d( planes*2, planes, kernel_size=kernel_size, stride=stride, bias=bias) def forward(self, in_data): in_shape = in_data.shape # h_curr = torch.zeros(in_shape[0], in_shape[1], in_shape[3], in_shape[4], device=in_data.device) # h_curr = torch.zeros(in_shape[0], in_shape[1], in_shape[3], in_shape[4], device=in_data.device) h_curr = in_data[:,:,0,:,:] out = None for i in range(in_data.size(2)): xin = torch.cat((in_data[:, :, i, :, :], h_curr), 1) cx = self.recurrent_conv_gates(xin) update, reset = torch.split(cx, self.hidden_dim, dim=1) update = torch.sigmoid(update) reset = torch.sigmoid(reset) x_out = torch.tanh(self.recurrent_conv_out(torch.cat([in_data[:, :, i, :, :], h_curr * reset], dim=1))) h_curr = h_curr * (1 - update) + x_out * update if out is None: out = h_curr.unsqueeze(2) else: out = torch.cat((out, h_curr.unsqueeze(2)), 2) return out class BottleneckRCGRU(nn.Module): expansion = 4 def __init__(self, inplanes, planes, stride=1, temp_kernal=1, downsample=None): super(BottleneckRCGRU, self).__init__() self.temp_kernal = temp_kernal temp_pad = 1 if temp_kernal == 1: temp_pad = 0 self.conv1 = nn.Conv3d(inplanes, planes, kernel_size=( 1, 1, 1), padding=(0, 0, 0), bias=False) if self.temp_kernal > 1: self.cgru = CGRU(planes, kernel_size=1, stride=1, bias=True) self.bn1 = nn.BatchNorm3d(planes) self.conv2 = nn.Conv3d(planes, planes, kernel_size=(1, 3, 3), stride=( 1, stride, stride), padding=(0, 1, 1), bias=False) self.bn2 = nn.BatchNorm3d(planes) self.conv3 = nn.Conv3d( planes, planes * self.expansion, kernel_size=1, bias=False) self.bn3 = nn.BatchNorm3d(planes * self.expansion) self.relu = nn.ReLU(inplace=True) self.downsample = downsample self.stride = stride def forward(self, x): residual = x # print(x.shape) out = self.conv1(x) if self.temp_kernal > 1: out1 = self.cgru(out) out = out1 + out out = self.bn1(out) out = self.relu(out) out = self.conv2(out) out = self.bn2(out) out = self.relu(out) out = self.conv3(out) out = self.bn3(out) # print(out.shape) if self.downsample is not None: residual = self.downsample(x) # print(residual.shape) out += residual out = self.relu(out) return out class BottleneckI3D(nn.Module): expansion = 4 def __init__(self, inplanes, planes, stride=1, temp_kernal=1, downsample=None): super(BottleneckI3D, self).__init__() # self.expansion = 4 temp_pad = 1 if temp_kernal == 1: temp_pad = 0 self.conv1 = nn.Conv3d(inplanes, planes, kernel_size=( temp_kernal, 1, 1), padding=(temp_pad, 0, 0), bias=False) self.bn1 = nn.BatchNorm3d(planes) self.conv2 = nn.Conv3d(planes, planes, kernel_size=(1, 3, 3), stride=( 1, stride, stride), padding=(0, 1, 1), bias=False) self.bn2 = nn.BatchNorm3d(planes) self.conv3 = nn.Conv3d( planes, planes * self.expansion, kernel_size=1, bias=False) self.bn3 = nn.BatchNorm3d(planes * self.expansion) self.relu = nn.ReLU(inplace=True) self.downsample = downsample self.stride = stride def forward(self, x): residual = x out = self.conv1(x) out = self.bn1(out) out = self.relu(out) out = self.conv2(out) out = self.bn2(out) out = self.relu(out) out = self.conv3(out) out = self.bn3(out) if self.downsample is not None: residual = self.downsample(x) out += residual out = self.relu(out) return out class Bottleneck2PD(nn.Module): expansion = 4 def __init__(self, inplanes, planes, stride=1, temp_kernal=1, downsample=None): super(Bottleneck2PD, self).__init__() self.temp_kernal = temp_kernal middle_filters = planes if self.temp_kernal>1: i = 1 * inplanes * planes * 1 * 1 i /= inplanes * 1 * 1 + 1 * planes middle_filters = int(i) print('Middlefilters are 1', middle_filters) self.conv1 = nn.Conv3d(inplanes, middle_filters, kernel_size=1, bias=False) self.bn1 = nn.BatchNorm3d(middle_filters) if self.temp_kernal > 1: self.conv1_seprated = nn.Conv3d( middle_filters, planes, kernel_size=1, bias=False) self.bn1s = nn.BatchNorm3d(planes) if self.temp_kernal > 1: i = 3 * planes * planes * 3 * 3 i /= planes * 3 * 3 + 3 * planes middle_filters = int(i) print('Middlefilters are 2', middle_filters) self.conv2 = nn.Conv3d(planes, middle_filters, kernel_size=(1, 3, 3), stride=(1, stride, stride), padding=(0, 1, 1), bias=False) self.bn2 = nn.BatchNorm3d(middle_filters) if self.temp_kernal > 1: self.conv2_seprated = nn.Conv3d(middle_filters, planes, kernel_size=(3, 1, 1), stride=(stride, 1, 1), padding=(1, 0, 0), bias=False) self.bn2s = nn.BatchNorm3d(planes) out_planes = planes * self.expansion middle_filters = out_planes if self.temp_kernal > 1: i = 1 * out_planes * planes * 1 * 1 i /= planes * 1 * 1 + 1 * out_planes middle_filters = int(i) self.conv3 = nn.Conv3d(planes, middle_filters, kernel_size=1, bias=False) self.bn3 = nn.BatchNorm3d(middle_filters) if self.temp_kernal > 1: self.conv3_seprated = nn.Conv3d( middle_filters, out_planes, kernel_size=1, bias=False) self.bn3s = nn.BatchNorm3d(out_planes) self.relu = nn.ReLU(inplace=True) self.downsample = downsample self.stride = stride def forward(self, x): residual = x out = self.conv1(x) out = self.bn1(out) out = self.relu(out) if self.temp_kernal>1: out = self.conv1_seprated(out) out = self.bn1s(out) out = self.relu(out) out = self.conv2(out) out = self.bn2(out) out = self.relu(out) if self.temp_kernal > 1: out = self.conv2_seprated(out) out = self.bn2s(out) out = self.relu(out) out = self.conv3(out) out = self.bn3(out) if self.temp_kernal > 1: out = self.relu(out) out = self.conv3_seprated(out) out = self.bn3s(out) if self.downsample is not None: residual = self.downsample(x) out += residual out = self.relu(out) return out class BottleneckC2D(nn.Module): expansion = 4 def __init__(self, inplanes, planes, stride=1, temp_kernal=1, downsample=None): super(BottleneckC2D, self).__init__() # self.expansion = 4 self.conv1 = nn.Conv3d(inplanes, planes, kernel_size=1, bias=False) self.bn1 = nn.BatchNorm3d(planes) self.conv2 = nn.Conv3d(planes, planes, kernel_size=(1, 3, 3), stride=( 1, stride, stride), padding=(0, 1, 1), bias=False) self.bn2 = nn.BatchNorm3d(planes) self.conv3 = nn.Conv3d( planes, planes * self.expansion, kernel_size=1, bias=False) self.bn3 = nn.BatchNorm3d(planes * self.expansion) self.relu = nn.ReLU(inplace=True) self.downsample = downsample self.stride = stride # self.apply(c2_msra_fill) def forward(self, x): residual = x out = self.conv1(x) out = self.bn1(out) out = self.relu(out) out = self.conv2(out) out = self.bn2(out) out = self.relu(out) out = self.conv3(out) out = self.bn3(out) if self.downsample is not None: residual = self.downsample(x) out += residual out = self.relu(out) return out
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7
6e4abd7743e424c5e80cf44c349878bc63ec184f
119
py
Python
Python practice/Mit opencourceware(2.7)/first.py
chiranjeevbitp/Python27new
d366efee57857402bae16cabf1df94c657490750
[ "bzip2-1.0.6" ]
null
null
null
Python practice/Mit opencourceware(2.7)/first.py
chiranjeevbitp/Python27new
d366efee57857402bae16cabf1df94c657490750
[ "bzip2-1.0.6" ]
null
null
null
Python practice/Mit opencourceware(2.7)/first.py
chiranjeevbitp/Python27new
d366efee57857402bae16cabf1df94c657490750
[ "bzip2-1.0.6" ]
null
null
null
y= raw_input('enter a nuber: ') print type(y) print y y =float(raw_input('enter a nuber: ')) print type(y) print y
19.833333
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0.663866
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119
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13
281123b336b60f59823e227e281fa1cdbffc3b7f
1,813
py
Python
backend/benefit/applications/migrations/0016_benefit_amount.py
jannetasa/yjdh
5d86a56c722dfbcee03110f66c7e7ddbea966db9
[ "MIT" ]
2
2021-05-10T09:28:35.000Z
2021-05-17T12:15:34.000Z
backend/benefit/applications/migrations/0016_benefit_amount.py
jannetasa/yjdh
5d86a56c722dfbcee03110f66c7e7ddbea966db9
[ "MIT" ]
931
2021-05-21T15:24:35.000Z
2022-03-31T20:07:40.000Z
backend/benefit/applications/migrations/0016_benefit_amount.py
jannetasa/yjdh
5d86a56c722dfbcee03110f66c7e7ddbea966db9
[ "MIT" ]
6
2021-07-06T11:07:02.000Z
2022-02-07T12:42:21.000Z
# Generated by Django 3.2.4 on 2021-08-24 06:41 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ("applications", "0015_application_batch_api"), ] operations = [ migrations.AddField( model_name="application", name="calculated_benefit_amount", field=models.DecimalField( blank=True, decimal_places=2, max_digits=8, null=True, verbose_name="amount of the benefit granted, calculated by the system", ), ), migrations.AddField( model_name="application", name="manual_benefit_amount", field=models.DecimalField( blank=True, decimal_places=2, max_digits=8, null=True, verbose_name="amount of the benefit manually entered by the application handler", ), ), migrations.AddField( model_name="historicalapplication", name="calculated_benefit_amount", field=models.DecimalField( blank=True, decimal_places=2, max_digits=8, null=True, verbose_name="amount of the benefit granted, calculated by the system", ), ), migrations.AddField( model_name="historicalapplication", name="manual_benefit_amount", field=models.DecimalField( blank=True, decimal_places=2, max_digits=8, null=True, verbose_name="amount of the benefit manually entered by the application handler", ), ), ]
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8
28152a5fdc8a3b60562186083ccfc2b96e0d5890
241
py
Python
scripts/item/consume_2436741.py
G00dBye/YYMS
1de816fc842b6598d5b4b7896b6ab0ee8f7cdcfb
[ "MIT" ]
54
2019-04-16T23:24:48.000Z
2021-12-18T11:41:50.000Z
scripts/item/consume_2436741.py
G00dBye/YYMS
1de816fc842b6598d5b4b7896b6ab0ee8f7cdcfb
[ "MIT" ]
3
2019-05-19T15:19:41.000Z
2020-04-27T16:29:16.000Z
scripts/item/consume_2436741.py
G00dBye/YYMS
1de816fc842b6598d5b4b7896b6ab0ee8f7cdcfb
[ "MIT" ]
49
2020-11-25T23:29:16.000Z
2022-03-26T16:20:24.000Z
# Created by MechAviv # Chinese Text Damage Skin (30 Day) | (2436741) if sm.addDamageSkin(2436741): sm.chat("'Chinese Text Damage Skin (30 Day)' Damage Skin has been added to your account's damage skin collection.") sm.consumeItem()
48.2
120
0.726141
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0.228571
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0.24
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0.297143
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95467f48eee829b2cc2f0ddb435cc116a07d9b51
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py
Python
api/tests/test_company_upload.py
matchd-ch/matchd-backend
84be4aab1b4708cae50a8988301b15df877c8db0
[ "Apache-2.0" ]
1
2022-03-03T09:55:57.000Z
2022-03-03T09:55:57.000Z
api/tests/test_company_upload.py
matchd-ch/matchd-backend
84be4aab1b4708cae50a8988301b15df877c8db0
[ "Apache-2.0" ]
7
2022-02-09T10:44:53.000Z
2022-03-28T03:29:43.000Z
api/tests/test_company_upload.py
matchd-ch/matchd-backend
84be4aab1b4708cae50a8988301b15df877c8db0
[ "Apache-2.0" ]
null
null
null
import pytest from django.contrib.auth.models import AnonymousUser from db.models import AttachmentKey @pytest.mark.django_db def test_upload_company_image(login, user_employee, upload, file_image_jpg, attachments_for_user): login(user_employee) data, errors = upload(user_employee, AttachmentKey.COMPANY_AVATAR, file_image_jpg) assert data is not None assert errors is None assert data.get('upload') is not None assert data.get('upload').get('success') attachments = attachments_for_user(user_employee, AttachmentKey.COMPANY_AVATAR) assert len(attachments) == 1 @pytest.mark.django_db def test_upload_company_document(login, user_employee, upload, file_document_pdf, attachments_for_user): login(user_employee) data, errors = upload(user_employee, AttachmentKey.COMPANY_DOCUMENTS, file_document_pdf) assert data is not None assert errors is None assert data.get('upload') is not None assert data.get('upload').get('success') is False errors = data.get('upload').get('errors') assert errors is not None assert 'file' in errors attachments = attachments_for_user(user_employee, AttachmentKey.COMPANY_DOCUMENTS) assert len(attachments) == 0 @pytest.mark.django_db def test_upload_company_video(login, user_employee, upload, file_video_mp4, attachments_for_user): login(user_employee) data, errors = upload(user_employee, AttachmentKey.COMPANY_DOCUMENTS, file_video_mp4) assert data is not None assert errors is None assert data.get('upload') is not None assert data.get('upload').get('success') attachments = attachments_for_user(user_employee, AttachmentKey.COMPANY_DOCUMENTS) assert len(attachments) == 1 @pytest.mark.django_db def test_upload_company_without_login(upload, file_image_jpg): data, errors = upload(AnonymousUser(), AttachmentKey.COMPANY_AVATAR, file_image_jpg) assert data is not None assert errors is not None assert data.get('upload') is None @pytest.mark.django_db def test_upload_student_avatar_as_company(login, user_employee, upload, file_image_jpg, attachments_for_user): login(user_employee) data, errors = upload(user_employee, AttachmentKey.STUDENT_AVATAR, file_image_jpg) assert data is not None assert errors is None assert data.get('upload') is not None assert data.get('upload').get('success') is False errors = data.get('upload').get('errors') assert errors is not None assert 'key' in errors attachments = attachments_for_user(user_employee, AttachmentKey.STUDENT_AVATAR) assert len(attachments) == 0 @pytest.mark.django_db def test_upload_too_many_uploads(login, user_employee, upload, file_image_jpg, attachments_for_user): login(user_employee) upload(user_employee, AttachmentKey.COMPANY_AVATAR, file_image_jpg) data, errors = upload(user_employee, AttachmentKey.COMPANY_AVATAR, file_image_jpg) assert data is not None assert errors is None assert data.get('upload') is not None assert data.get('upload').get('success') is False errors = data.get('upload').get('errors') assert errors is not None assert 'key' in errors attachments = attachments_for_user(user_employee, AttachmentKey.COMPANY_AVATAR) assert len(attachments) == 1
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8
959e5d8edc5f41df17eb1794debd929404789e8e
15,528
py
Python
tests/unittests/test_team.py
ZPascal/grafana_api_sdk
97c347790200e8e9a2aafd47e322297aa97b964c
[ "Apache-2.0" ]
2
2022-02-01T20:18:48.000Z
2022-02-02T01:22:14.000Z
tests/unittests/test_team.py
ZPascal/grafana_api_sdk
97c347790200e8e9a2aafd47e322297aa97b964c
[ "Apache-2.0" ]
5
2022-01-12T06:55:54.000Z
2022-03-26T13:35:50.000Z
tests/unittests/test_team.py
ZPascal/grafana_api_sdk
97c347790200e8e9a2aafd47e322297aa97b964c
[ "Apache-2.0" ]
null
null
null
from unittest import TestCase from unittest.mock import MagicMock, Mock, patch from src.grafana_api.model import APIModel, TeamObject from src.grafana_api.team import Team class TeamTestCase(TestCase): @patch("src.grafana_api.api.Api.call_the_api") def test_search_team(self, call_the_api_mock): model: APIModel = APIModel( host=MagicMock(), username=MagicMock(), password=MagicMock() ) team: Team = Team(grafana_api_model=model) mock: Mock = Mock() mock.json = Mock(return_value=dict({"totalCount": 1})) call_the_api_mock.return_value = mock self.assertEqual(dict({"totalCount": 1}), team.search_team()) @patch("src.grafana_api.api.Api.call_the_api") def test_search_team_query(self, call_the_api_mock): model: APIModel = APIModel( host=MagicMock(), username=MagicMock(), password=MagicMock() ) team: Team = Team(grafana_api_model=model) mock: Mock = Mock() mock.json = Mock(return_value=dict({"totalCount": 1})) call_the_api_mock.return_value = mock self.assertEqual( dict({"totalCount": 1}), team.search_team(query="Test"), ) @patch("src.grafana_api.api.Api.call_the_api") def test_search_team_no_team(self, call_the_api_mock): model: APIModel = APIModel( host=MagicMock(), username=MagicMock(), password=MagicMock() ) team: Team = Team(grafana_api_model=model) mock: Mock = Mock() mock.json = Mock(return_value=dict()) call_the_api_mock.return_value = mock with self.assertRaises(Exception): team.search_team() @patch("src.grafana_api.api.Api.call_the_api") def test_get_team_by_id(self, call_the_api_mock): model: APIModel = APIModel( host=MagicMock(), username=MagicMock(), password=MagicMock() ) team: Team = Team(grafana_api_model=model) mock: Mock = Mock() mock.json = Mock(return_value=dict({"id": 1})) call_the_api_mock.return_value = mock self.assertEqual(dict({"id": 1}), team.get_team_by_id(1)) @patch("src.grafana_api.api.Api.call_the_api") def test_get_team_by_id_no_id(self, call_the_api_mock): model: APIModel = APIModel( host=MagicMock(), username=MagicMock(), password=MagicMock() ) team: Team = Team(grafana_api_model=model) mock: Mock = Mock() mock.json = Mock(return_value=dict()) call_the_api_mock.return_value = mock with self.assertRaises(ValueError): team.get_team_by_id(0) @patch("src.grafana_api.api.Api.call_the_api") def test_get_team_by_id_no_team(self, call_the_api_mock): model: APIModel = APIModel( host=MagicMock(), username=MagicMock(), password=MagicMock() ) team: Team = Team(grafana_api_model=model) mock: Mock = Mock() mock.json = Mock(return_value=dict()) call_the_api_mock.return_value = mock with self.assertRaises(Exception): team.get_team_by_id(1) @patch("src.grafana_api.api.Api.call_the_api") def test_add_team(self, call_the_api_mock): model: APIModel = APIModel( host=MagicMock(), username=MagicMock(), password=MagicMock() ) team: Team = Team(grafana_api_model=model) team_object: TeamObject = TeamObject(name="test", email="test", org_id=1) mock: Mock = Mock() mock.json = Mock(return_value=dict({"message": "Team created", "teamId": 1})) call_the_api_mock.return_value = mock self.assertEqual(1, team.add_team(team_object)) @patch("src.grafana_api.api.Api.call_the_api") def test_add_team_no_team(self, call_the_api_mock): model: APIModel = APIModel( host=MagicMock(), username=MagicMock(), password=MagicMock() ) team: Team = Team(grafana_api_model=model) mock: Mock = Mock() mock.json = Mock(return_value=dict()) call_the_api_mock.return_value = mock with self.assertRaises(ValueError): team.add_team(None) @patch("src.grafana_api.api.Api.call_the_api") def test_add_team_add_not_possible(self, call_the_api_mock): model: APIModel = APIModel( host=MagicMock(), username=MagicMock(), password=MagicMock() ) team: Team = Team(grafana_api_model=model) team_object: TeamObject = TeamObject(name="test", email="test", org_id=1) mock: Mock = Mock() mock.json = Mock(return_value=dict({"message": "Test"})) call_the_api_mock.return_value = mock with self.assertRaises(Exception): team.add_team(team_object) @patch("src.grafana_api.api.Api.call_the_api") def test_update_team(self, call_the_api_mock): model: APIModel = APIModel( host=MagicMock(), username=MagicMock(), password=MagicMock() ) team: Team = Team(grafana_api_model=model) mock: Mock = Mock() mock.json = Mock(return_value=dict({"message": "Team updated"})) call_the_api_mock.return_value = mock self.assertEqual(None, team.update_team(1, "test", "test")) @patch("src.grafana_api.api.Api.call_the_api") def test_update_team_no_id(self, call_the_api_mock): model: APIModel = APIModel( host=MagicMock(), username=MagicMock(), password=MagicMock() ) team: Team = Team(grafana_api_model=model) mock: Mock = Mock() mock.json = Mock(return_value=dict()) call_the_api_mock.return_value = mock with self.assertRaises(ValueError): team.update_team(0, None, None) @patch("src.grafana_api.api.Api.call_the_api") def test_update_team_update_not_possible(self, call_the_api_mock): model: APIModel = APIModel( host=MagicMock(), username=MagicMock(), password=MagicMock() ) team: Team = Team(grafana_api_model=model) mock: Mock = Mock() mock.json = Mock(return_value=dict({"message": "Test"})) call_the_api_mock.return_value = mock with self.assertRaises(Exception): team.update_team(1, "test", "test") @patch("src.grafana_api.api.Api.call_the_api") def test_delete_team_by_id(self, call_the_api_mock): model: APIModel = APIModel( host=MagicMock(), username=MagicMock(), password=MagicMock() ) team: Team = Team(grafana_api_model=model) mock: Mock = Mock() mock.json = Mock(return_value=dict({"message": "Team deleted"})) call_the_api_mock.return_value = mock self.assertEqual(None, team.delete_team_by_id(1)) @patch("src.grafana_api.api.Api.call_the_api") def test_delete_team_by_id_no_id(self, call_the_api_mock): model: APIModel = APIModel( host=MagicMock(), username=MagicMock(), password=MagicMock() ) team: Team = Team(grafana_api_model=model) mock: Mock = Mock() mock.json = Mock(return_value=dict()) call_the_api_mock.return_value = mock with self.assertRaises(ValueError): team.delete_team_by_id(0) @patch("src.grafana_api.api.Api.call_the_api") def test_delete_team_by_id_delete_not_possible(self, call_the_api_mock): model: APIModel = APIModel( host=MagicMock(), username=MagicMock(), password=MagicMock() ) team: Team = Team(grafana_api_model=model) mock: Mock = Mock() mock.json = Mock(return_value=dict({"message": "Test"})) call_the_api_mock.return_value = mock with self.assertRaises(Exception): team.delete_team_by_id(1) @patch("src.grafana_api.api.Api.call_the_api") def test_get_team_members(self, call_the_api_mock): model: APIModel = APIModel( host=MagicMock(), username=MagicMock(), password=MagicMock() ) team: Team = Team(grafana_api_model=model) mock: Mock = Mock() mock.json = Mock(return_value=list([{"userId": 1}])) call_the_api_mock.return_value = mock self.assertEqual(list([{"userId": 1}]), team.get_team_members(1)) @patch("src.grafana_api.api.Api.call_the_api") def test_get_team_members_no_id(self, call_the_api_mock): model: APIModel = APIModel( host=MagicMock(), username=MagicMock(), password=MagicMock() ) team: Team = Team(grafana_api_model=model) mock: Mock = Mock() mock.json = Mock(return_value=list()) call_the_api_mock.return_value = mock with self.assertRaises(ValueError): team.get_team_members(0) @patch("src.grafana_api.api.Api.call_the_api") def test_get_team_members_no_team_members(self, call_the_api_mock): model: APIModel = APIModel( host=MagicMock(), username=MagicMock(), password=MagicMock() ) team: Team = Team(grafana_api_model=model) mock: Mock = Mock() mock.json = Mock(return_value=list()) call_the_api_mock.return_value = mock with self.assertRaises(Exception): team.get_team_members(1) @patch("src.grafana_api.api.Api.call_the_api") def test_add_team_member(self, call_the_api_mock): model: APIModel = APIModel( host=MagicMock(), username=MagicMock(), password=MagicMock() ) team: Team = Team(grafana_api_model=model) mock: Mock = Mock() mock.json = Mock(return_value=dict({"message": "Member added to Team"})) call_the_api_mock.return_value = mock self.assertEqual(None, team.add_team_member(1, 1)) @patch("src.grafana_api.api.Api.call_the_api") def test_add_team_member_no_id(self, call_the_api_mock): model: APIModel = APIModel( host=MagicMock(), username=MagicMock(), password=MagicMock() ) team: Team = Team(grafana_api_model=model) mock: Mock = Mock() mock.json = Mock(return_value=dict()) call_the_api_mock.return_value = mock with self.assertRaises(ValueError): team.add_team_member(0, 0) @patch("src.grafana_api.api.Api.call_the_api") def test_add_team_member_add_not_possible(self, call_the_api_mock): model: APIModel = APIModel( host=MagicMock(), username=MagicMock(), password=MagicMock() ) team: Team = Team(grafana_api_model=model) mock: Mock = Mock() mock.json = Mock(return_value=dict({"message": "Test"})) call_the_api_mock.return_value = mock with self.assertRaises(Exception): team.add_team_member(1, 1) @patch("src.grafana_api.api.Api.call_the_api") def test_delete_team_member(self, call_the_api_mock): model: APIModel = APIModel( host=MagicMock(), username=MagicMock(), password=MagicMock() ) team: Team = Team(grafana_api_model=model) mock: Mock = Mock() mock.json = Mock(return_value=dict({"message": "Team Member removed"})) call_the_api_mock.return_value = mock self.assertEqual(None, team.delete_team_member(1, 1)) @patch("src.grafana_api.api.Api.call_the_api") def test_delete_team_member_no_id(self, call_the_api_mock): model: APIModel = APIModel( host=MagicMock(), username=MagicMock(), password=MagicMock() ) team: Team = Team(grafana_api_model=model) mock: Mock = Mock() mock.json = Mock(return_value=dict()) call_the_api_mock.return_value = mock with self.assertRaises(ValueError): team.delete_team_member(0, 0) @patch("src.grafana_api.api.Api.call_the_api") def test_delete_team_member_deletion_not_possible(self, call_the_api_mock): model: APIModel = APIModel( host=MagicMock(), username=MagicMock(), password=MagicMock() ) team: Team = Team(grafana_api_model=model) mock: Mock = Mock() mock.json = Mock(return_value=dict({"message": "Test"})) call_the_api_mock.return_value = mock with self.assertRaises(Exception): team.delete_team_member(1, 1) @patch("src.grafana_api.api.Api.call_the_api") def test_get_team_preferences(self, call_the_api_mock): model: APIModel = APIModel( host=MagicMock(), username=MagicMock(), password=MagicMock() ) team: Team = Team(grafana_api_model=model) mock: Mock = Mock() mock.json = Mock( return_value=dict( {"theme": "light", "homeDashboardId": "Test", "timezone": "utc"} ) ) call_the_api_mock.return_value = mock self.assertEqual( dict({"theme": "light", "homeDashboardId": "Test", "timezone": "utc"}), team.get_team_preferences(1), ) @patch("src.grafana_api.api.Api.call_the_api") def test_get_team_preferences_no_id(self, call_the_api_mock): model: APIModel = APIModel( host=MagicMock(), username=MagicMock(), password=MagicMock() ) team: Team = Team(grafana_api_model=model) mock: Mock = Mock() mock.json = Mock(return_value=dict()) call_the_api_mock.return_value = mock with self.assertRaises(ValueError): team.get_team_preferences(0) @patch("src.grafana_api.api.Api.call_the_api") def test_get_team_preferences_no_preferences_available(self, call_the_api_mock): model: APIModel = APIModel( host=MagicMock(), username=MagicMock(), password=MagicMock() ) team: Team = Team(grafana_api_model=model) mock: Mock = Mock() mock.json = Mock(return_value=dict()) call_the_api_mock.return_value = mock with self.assertRaises(Exception): team.get_team_preferences(1) @patch("src.grafana_api.api.Api.call_the_api") def test_update_team_preferences(self, call_the_api_mock): model: APIModel = APIModel( host=MagicMock(), username=MagicMock(), password=MagicMock() ) team: Team = Team(grafana_api_model=model) mock: Mock = Mock() mock.json = Mock(return_value=dict({"message": "Preferences updated"})) call_the_api_mock.return_value = mock self.assertEqual(None, team.update_team_preferences(1, 1)) @patch("src.grafana_api.api.Api.call_the_api") def test_update_team_preferences_no_id(self, call_the_api_mock): model: APIModel = APIModel( host=MagicMock(), username=MagicMock(), password=MagicMock() ) team: Team = Team(grafana_api_model=model) mock: Mock = Mock() mock.json = Mock(return_value=dict()) call_the_api_mock.return_value = mock with self.assertRaises(ValueError): team.update_team_preferences(0) @patch("src.grafana_api.api.Api.call_the_api") def test_update_team_preferences_update_not_possible(self, call_the_api_mock): model: APIModel = APIModel( host=MagicMock(), username=MagicMock(), password=MagicMock() ) team: Team = Team(grafana_api_model=model) mock: Mock = Mock() mock.json = Mock(return_value=dict({"message": "Test"})) call_the_api_mock.return_value = mock with self.assertRaises(Exception): team.update_team_preferences(1)
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1,958
15,528
4.797753
0.036772
0.067064
0.095806
0.089419
0.967213
0.964765
0.964765
0.956249
0.956249
0.956249
0
0.003639
0.239052
15,528
458
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33.90393
0.791385
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0.666667
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0.094024
0.069552
0
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false
0.089286
0.011905
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7
251b9cbf15005781ce5a7a3824d7cf3c522c2e7b
98,693
py
Python
tests/EVM/test_EVMSIGNEXTEND.py
mroll/manticore
d731562f7761ed9437cce406b24c815303de370c
[ "Apache-2.0" ]
null
null
null
tests/EVM/test_EVMSIGNEXTEND.py
mroll/manticore
d731562f7761ed9437cce406b24c815303de370c
[ "Apache-2.0" ]
null
null
null
tests/EVM/test_EVMSIGNEXTEND.py
mroll/manticore
d731562f7761ed9437cce406b24c815303de370c
[ "Apache-2.0" ]
null
null
null
import struct import unittest import json from manticore.platforms import evm from manticore.core import state from manticore.core.smtlib import Operators, ConstraintSet import os class EVMTest_SIGNEXTEND(unittest.TestCase): _multiprocess_can_split_ = True maxDiff=None def _execute(self, new_vm): last_returned = None last_exception = None try: new_vm.execute() except evm.Stop, e: last_exception = "STOP" except evm.NotEnoughGas: last_exception = "OOG" except evm.StackUnderflow: last_exception = "INSUFICIENT STACK" except evm.InvalidOpcode: last_exception = "INVALID" except evm.SelfDestruct: last_exception = "SUICIDED" except evm.Return as e: last_exception = "RETURN" last_returned = e.data except evm.Revert: last_exception = "REVERT" return last_exception, last_returned def test_SIGNEXTEND_1(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935L) new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639935L]) def test_SIGNEXTEND_2(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935L) new_vm._push(0) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639935L]) def test_SIGNEXTEND_3(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935L) new_vm._push(1) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639935L]) def test_SIGNEXTEND_4(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935L) new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639935L]) def test_SIGNEXTEND_5(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935L) new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639935L]) def test_SIGNEXTEND_6(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935L) new_vm._push(16) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639935L]) def test_SIGNEXTEND_7(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935L) new_vm._push(32) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639935L]) def test_SIGNEXTEND_8(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935L) new_vm._push(48) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639935L]) def test_SIGNEXTEND_9(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935L) new_vm._push(6089590155545428825848686802984512581899718912L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639935L]) def test_SIGNEXTEND_10(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(0) new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [0]) def test_SIGNEXTEND_11(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(0) new_vm._push(0) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [0]) def test_SIGNEXTEND_12(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(0) new_vm._push(1) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [0]) def test_SIGNEXTEND_13(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(0) new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [0]) def test_SIGNEXTEND_14(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(0) new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [0]) def test_SIGNEXTEND_15(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(0) new_vm._push(16) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [0L]) def test_SIGNEXTEND_16(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(0) new_vm._push(32) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [0]) def test_SIGNEXTEND_17(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(0) new_vm._push(48) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [0]) def test_SIGNEXTEND_18(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(0) new_vm._push(6089590155545428825848686802984512581899718912L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [0]) def test_SIGNEXTEND_19(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(1) new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [1]) def test_SIGNEXTEND_20(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(1) new_vm._push(0) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [1]) def test_SIGNEXTEND_21(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(1) new_vm._push(1) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [1]) def test_SIGNEXTEND_22(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(1) new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [1]) def test_SIGNEXTEND_23(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(1) new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [1]) def test_SIGNEXTEND_24(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(1) new_vm._push(16) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [1L]) def test_SIGNEXTEND_25(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(1) new_vm._push(32) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [1]) def test_SIGNEXTEND_26(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(1) new_vm._push(48) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [1]) def test_SIGNEXTEND_27(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(1) new_vm._push(6089590155545428825848686802984512581899718912L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [1]) def test_SIGNEXTEND_28(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952L) new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [57896044618658097711785492504343953926634992332820282019728792003956564819952L]) def test_SIGNEXTEND_29(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952L) new_vm._push(0) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639920L]) def test_SIGNEXTEND_30(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952L) new_vm._push(1) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639920L]) def test_SIGNEXTEND_31(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952L) new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [57896044618658097711785492504343953926634992332820282019728792003956564819952L]) def test_SIGNEXTEND_32(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952L) new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [57896044618658097711785492504343953926634992332820282019728792003956564819952L]) def test_SIGNEXTEND_33(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952L) new_vm._push(16) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639920L]) def test_SIGNEXTEND_34(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952L) new_vm._push(32) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [57896044618658097711785492504343953926634992332820282019728792003956564819952L]) def test_SIGNEXTEND_35(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952L) new_vm._push(48) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [57896044618658097711785492504343953926634992332820282019728792003956564819952L]) def test_SIGNEXTEND_36(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952L) new_vm._push(6089590155545428825848686802984512581899718912L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [57896044618658097711785492504343953926634992332820282019728792003956564819952L]) def test_SIGNEXTEND_37(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263L) new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [3618502788666131106986593281521497120414687020801267626233049500247285301263L]) def test_SIGNEXTEND_38(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263L) new_vm._push(0) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [15L]) def test_SIGNEXTEND_39(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263L) new_vm._push(1) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [15L]) def test_SIGNEXTEND_40(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263L) new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [3618502788666131106986593281521497120414687020801267626233049500247285301263L]) def test_SIGNEXTEND_41(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263L) new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [3618502788666131106986593281521497120414687020801267626233049500247285301263L]) def test_SIGNEXTEND_42(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263L) new_vm._push(16) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [15L]) def test_SIGNEXTEND_43(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263L) new_vm._push(32) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [3618502788666131106986593281521497120414687020801267626233049500247285301263L]) def test_SIGNEXTEND_44(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263L) new_vm._push(48) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [3618502788666131106986593281521497120414687020801267626233049500247285301263L]) def test_SIGNEXTEND_45(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263L) new_vm._push(6089590155545428825848686802984512581899718912L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [3618502788666131106986593281521497120414687020801267626233049500247285301263L]) def test_SIGNEXTEND_46(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(16) new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [16]) def test_SIGNEXTEND_47(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(16) new_vm._push(0) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [16]) def test_SIGNEXTEND_48(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(16) new_vm._push(1) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [16]) def test_SIGNEXTEND_49(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(16) new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [16]) def test_SIGNEXTEND_50(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(16) new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [16]) def test_SIGNEXTEND_51(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(16) new_vm._push(16) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [16L]) def test_SIGNEXTEND_52(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(16) new_vm._push(32) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [16]) def test_SIGNEXTEND_53(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(16) new_vm._push(48) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [16]) def test_SIGNEXTEND_54(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(16) new_vm._push(6089590155545428825848686802984512581899718912L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [16]) def test_SIGNEXTEND_55(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(32) new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [32]) def test_SIGNEXTEND_56(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(32) new_vm._push(0) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [32]) def test_SIGNEXTEND_57(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(32) new_vm._push(1) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [32]) def test_SIGNEXTEND_58(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(32) new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [32]) def test_SIGNEXTEND_59(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(32) new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [32]) def test_SIGNEXTEND_60(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(32) new_vm._push(16) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [32L]) def test_SIGNEXTEND_61(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(32) new_vm._push(32) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [32]) def test_SIGNEXTEND_62(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(32) new_vm._push(48) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [32]) def test_SIGNEXTEND_63(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(32) new_vm._push(6089590155545428825848686802984512581899718912L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [32]) def test_SIGNEXTEND_64(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(48) new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [48]) def test_SIGNEXTEND_65(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(48) new_vm._push(0) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [48]) def test_SIGNEXTEND_66(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(48) new_vm._push(1) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [48]) def test_SIGNEXTEND_67(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(48) new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [48]) def test_SIGNEXTEND_68(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(48) new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [48]) def test_SIGNEXTEND_69(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(48) new_vm._push(16) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [48L]) def test_SIGNEXTEND_70(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(48) new_vm._push(32) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [48]) def test_SIGNEXTEND_71(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(48) new_vm._push(48) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [48]) def test_SIGNEXTEND_72(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(48) new_vm._push(6089590155545428825848686802984512581899718912L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [48]) def test_SIGNEXTEND_73(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(6089590155545428825848686802984512581899718912L) new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [6089590155545428825848686802984512581899718912L]) def test_SIGNEXTEND_74(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(6089590155545428825848686802984512581899718912L) new_vm._push(0) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [0L]) def test_SIGNEXTEND_75(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(6089590155545428825848686802984512581899718912L) new_vm._push(1) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [4352L]) def test_SIGNEXTEND_76(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(6089590155545428825848686802984512581899718912L) new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [6089590155545428825848686802984512581899718912L]) def test_SIGNEXTEND_77(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(6089590155545428825848686802984512581899718912L) new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [6089590155545428825848686802984512581899718912L]) def test_SIGNEXTEND_78(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(6089590155545428825848686802984512581899718912L) new_vm._push(16) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [5807485728784016443108259966835510808832L]) def test_SIGNEXTEND_79(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(6089590155545428825848686802984512581899718912L) new_vm._push(32) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [6089590155545428825848686802984512581899718912L]) def test_SIGNEXTEND_80(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(6089590155545428825848686802984512581899718912L) new_vm._push(48) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [6089590155545428825848686802984512581899718912L]) def test_SIGNEXTEND_81(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x0b' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(6089590155545428825848686802984512581899718912L) new_vm._push(6089590155545428825848686802984512581899718912L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [6089590155545428825848686802984512581899718912L]) if __name__ == '__main__': unittest.main()
42.779801
143
0.574235
8,049
98,693
6.88657
0.022363
0.044019
0.026303
0.058452
0.982537
0.982537
0.982537
0.982537
0.982537
0.982537
0
0.243578
0.349569
98,693
2,306
144
42.798352
0.619912
0.044319
0
0.893987
0
0
0.065147
0.025808
0
0
0.070543
0
0.128165
0
null
null
0
0.003692
null
null
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
1
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
0
0
9
255025d2ef4d9bfa9b734e532b8743f4da26379e
131
py
Python
app/component/topic/__init__.py
melphi/kafkaform
391c4c70b6aff9fd5ad703dcf4b6e863e92d53b6
[ "MIT" ]
null
null
null
app/component/topic/__init__.py
melphi/kafkaform
391c4c70b6aff9fd5ad703dcf4b6e863e92d53b6
[ "MIT" ]
null
null
null
app/component/topic/__init__.py
melphi/kafkaform
391c4c70b6aff9fd5ad703dcf4b6e863e92d53b6
[ "MIT" ]
null
null
null
from app.component.topic.parser import * from app.component.topic.resolver import * from app.component.topic.transitioner import *
32.75
46
0.816794
18
131
5.944444
0.444444
0.196262
0.448598
0.588785
0.504673
0
0
0
0
0
0
0
0.091603
131
3
47
43.666667
0.89916
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
0
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
255d6a66001eb4f8ec32511b7a33445aae76a23d
428
py
Python
src/SocialNetwork_API/arango_services/__init__.py
HoangNguyenHuy/SocialNetwork
495062d9b85cfdaa3df41002c2c4a88ab4b53446
[ "MIT" ]
null
null
null
src/SocialNetwork_API/arango_services/__init__.py
HoangNguyenHuy/SocialNetwork
495062d9b85cfdaa3df41002c2c4a88ab4b53446
[ "MIT" ]
null
null
null
src/SocialNetwork_API/arango_services/__init__.py
HoangNguyenHuy/SocialNetwork
495062d9b85cfdaa3df41002c2c4a88ab4b53446
[ "MIT" ]
null
null
null
from SocialNetwork_API.arango_services.base import ArangoBaseService from SocialNetwork_API.arango_services.user import ArangoUserService from SocialNetwork_API.arango_services.data import ArangoDataService from SocialNetwork_API.arango_services.post import ArangoPostService from SocialNetwork_API.arango_services.comment import ArangoCommentService from SocialNetwork_API.arango_services.download import ArangoDownloadService
61.142857
76
0.915888
48
428
7.916667
0.375
0.268421
0.315789
0.410526
0.536842
0
0
0
0
0
0
0
0.056075
428
6
77
71.333333
0.940594
0
0
0
0
0
0
0
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Python
pyboto3/applicationautoscaling.py
thecraftman/pyboto3
653a0db2b00b06708334431da8f169d1f7c7734f
[ "MIT" ]
null
null
null
pyboto3/applicationautoscaling.py
thecraftman/pyboto3
653a0db2b00b06708334431da8f169d1f7c7734f
[ "MIT" ]
null
null
null
pyboto3/applicationautoscaling.py
thecraftman/pyboto3
653a0db2b00b06708334431da8f169d1f7c7734f
[ "MIT" ]
null
null
null
''' The MIT License (MIT) Copyright (c) 2016 WavyCloud Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. ''' def can_paginate(operation_name=None): """ Check if an operation can be paginated. :type operation_name: string :param operation_name: The operation name. This is the same name as the method name on the client. For example, if the method name is create_foo, and you'd normally invoke the operation as client.create_foo(**kwargs), if the create_foo operation can be paginated, you can use the call client.get_paginator('create_foo'). """ pass def delete_scaling_policy(PolicyName=None, ServiceNamespace=None, ResourceId=None, ScalableDimension=None): """ Deletes the specified Application Auto Scaling scaling policy. Deleting a policy deletes the underlying alarm action, but does not delete the CloudWatch alarm associated with the scaling policy, even if it no longer has an associated action. To create a scaling policy or update an existing one, see PutScalingPolicy . See also: AWS API Documentation Examples This example deletes a scaling policy for the Amazon ECS service called web-app, which is running in the default cluster. Expected Output: :example: response = client.delete_scaling_policy( PolicyName='string', ServiceNamespace='ecs'|'elasticmapreduce'|'ec2'|'appstream', ResourceId='string', ScalableDimension='ecs:service:DesiredCount'|'ec2:spot-fleet-request:TargetCapacity'|'elasticmapreduce:instancegroup:InstanceCount'|'appstream:fleet:DesiredCapacity' ) :type PolicyName: string :param PolicyName: [REQUIRED] The name of the scaling policy. :type ServiceNamespace: string :param ServiceNamespace: [REQUIRED] The namespace of the AWS service. For more information, see AWS Service Namespaces in the Amazon Web Services General Reference . :type ResourceId: string :param ResourceId: [REQUIRED] The identifier of the resource associated with the scalable target. This string consists of the resource type and unique identifier. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp . Spot fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE . EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0 . AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet . :type ScalableDimension: string :param ScalableDimension: [REQUIRED] The scalable dimension. This string consists of the service namespace, resource type, and scaling property. ecs:service:DesiredCount - The desired task count of an ECS service. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot fleet request. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. :rtype: dict :return: {} :returns: (dict) -- """ pass def deregister_scalable_target(ServiceNamespace=None, ResourceId=None, ScalableDimension=None): """ Deregisters a scalable target. Deregistering a scalable target deletes the scaling policies that are associated with it. To create a scalable target or update an existing one, see RegisterScalableTarget . See also: AWS API Documentation Examples This example deregisters a scalable target for an Amazon ECS service called web-app that is running in the default cluster. Expected Output: :example: response = client.deregister_scalable_target( ServiceNamespace='ecs'|'elasticmapreduce'|'ec2'|'appstream', ResourceId='string', ScalableDimension='ecs:service:DesiredCount'|'ec2:spot-fleet-request:TargetCapacity'|'elasticmapreduce:instancegroup:InstanceCount'|'appstream:fleet:DesiredCapacity' ) :type ServiceNamespace: string :param ServiceNamespace: [REQUIRED] The namespace of the AWS service. For more information, see AWS Service Namespaces in the Amazon Web Services General Reference . :type ResourceId: string :param ResourceId: [REQUIRED] The identifier of the resource associated with the scalable target. This string consists of the resource type and unique identifier. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp . Spot fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE . EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0 . AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet . :type ScalableDimension: string :param ScalableDimension: [REQUIRED] The scalable dimension associated with the scalable target. This string consists of the service namespace, resource type, and scaling property. ecs:service:DesiredCount - The desired task count of an ECS service. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot fleet request. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. :rtype: dict :return: {} :returns: (dict) -- """ pass def describe_scalable_targets(ServiceNamespace=None, ResourceIds=None, ScalableDimension=None, MaxResults=None, NextToken=None): """ Provides descriptive information about the scalable targets in the specified namespace. You can filter the results using the ResourceIds and ScalableDimension parameters. To create a scalable target or update an existing one, see RegisterScalableTarget . If you are no longer using a scalable target, you can deregister it using DeregisterScalableTarget . See also: AWS API Documentation Examples This example describes the scalable targets for the ecs service namespace. Expected Output: :example: response = client.describe_scalable_targets( ServiceNamespace='ecs'|'elasticmapreduce'|'ec2'|'appstream', ResourceIds=[ 'string', ], ScalableDimension='ecs:service:DesiredCount'|'ec2:spot-fleet-request:TargetCapacity'|'elasticmapreduce:instancegroup:InstanceCount'|'appstream:fleet:DesiredCapacity', MaxResults=123, NextToken='string' ) :type ServiceNamespace: string :param ServiceNamespace: [REQUIRED] The namespace of the AWS service. For more information, see AWS Service Namespaces in the Amazon Web Services General Reference . :type ResourceIds: list :param ResourceIds: The identifier of the resource associated with the scalable target. This string consists of the resource type and unique identifier. If you specify a scalable dimension, you must also specify a resource ID. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp . Spot fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE . EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0 . AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet . (string) -- :type ScalableDimension: string :param ScalableDimension: The scalable dimension associated with the scalable target. This string consists of the service namespace, resource type, and scaling property. If you specify a scalable dimension, you must also specify a resource ID. ecs:service:DesiredCount - The desired task count of an ECS service. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot fleet request. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. :type MaxResults: integer :param MaxResults: The maximum number of scalable target results. This value can be between 1 and 50. The default value is 50. If this parameter is used, the operation returns up to MaxResults results at a time, along with a NextToken value. To get the next set of results, include the NextToken value in a subsequent call. If this parameter is not used, the operation returns up to 50 results and a NextToken value, if applicable. :type NextToken: string :param NextToken: The token for the next set of results. :rtype: dict :return: { 'ScalableTargets': [ { 'ServiceNamespace': 'ecs'|'elasticmapreduce'|'ec2'|'appstream', 'ResourceId': 'string', 'ScalableDimension': 'ecs:service:DesiredCount'|'ec2:spot-fleet-request:TargetCapacity'|'elasticmapreduce:instancegroup:InstanceCount'|'appstream:fleet:DesiredCapacity', 'MinCapacity': 123, 'MaxCapacity': 123, 'RoleARN': 'string', 'CreationTime': datetime(2015, 1, 1) }, ], 'NextToken': 'string' } :returns: ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp . Spot fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE . EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0 . AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet . """ pass def describe_scaling_activities(ServiceNamespace=None, ResourceId=None, ScalableDimension=None, MaxResults=None, NextToken=None): """ Provides descriptive information about the scaling activities in the specified namespace from the previous six weeks. You can filter the results using the ResourceId and ScalableDimension parameters. Scaling activities are triggered by CloudWatch alarms that are associated with scaling policies. To view the scaling policies for a service namespace, see DescribeScalingPolicies . To create a scaling policy or update an existing one, see PutScalingPolicy . See also: AWS API Documentation Examples This example describes the scaling activities for an Amazon ECS service called web-app that is running in the default cluster. Expected Output: :example: response = client.describe_scaling_activities( ServiceNamespace='ecs'|'elasticmapreduce'|'ec2'|'appstream', ResourceId='string', ScalableDimension='ecs:service:DesiredCount'|'ec2:spot-fleet-request:TargetCapacity'|'elasticmapreduce:instancegroup:InstanceCount'|'appstream:fleet:DesiredCapacity', MaxResults=123, NextToken='string' ) :type ServiceNamespace: string :param ServiceNamespace: [REQUIRED] The namespace of the AWS service. For more information, see AWS Service Namespaces in the Amazon Web Services General Reference . :type ResourceId: string :param ResourceId: The identifier of the resource associated with the scaling activity. This string consists of the resource type and unique identifier. If you specify a scalable dimension, you must also specify a resource ID. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp . Spot fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE . EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0 . AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet . :type ScalableDimension: string :param ScalableDimension: The scalable dimension. This string consists of the service namespace, resource type, and scaling property. If you specify a scalable dimension, you must also specify a resource ID. ecs:service:DesiredCount - The desired task count of an ECS service. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot fleet request. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. :type MaxResults: integer :param MaxResults: The maximum number of scalable target results. This value can be between 1 and 50. The default value is 50. If this parameter is used, the operation returns up to MaxResults results at a time, along with a NextToken value. To get the next set of results, include the NextToken value in a subsequent call. If this parameter is not used, the operation returns up to 50 results and a NextToken value, if applicable. :type NextToken: string :param NextToken: The token for the next set of results. :rtype: dict :return: { 'ScalingActivities': [ { 'ActivityId': 'string', 'ServiceNamespace': 'ecs'|'elasticmapreduce'|'ec2'|'appstream', 'ResourceId': 'string', 'ScalableDimension': 'ecs:service:DesiredCount'|'ec2:spot-fleet-request:TargetCapacity'|'elasticmapreduce:instancegroup:InstanceCount'|'appstream:fleet:DesiredCapacity', 'Description': 'string', 'Cause': 'string', 'StartTime': datetime(2015, 1, 1), 'EndTime': datetime(2015, 1, 1), 'StatusCode': 'Pending'|'InProgress'|'Successful'|'Overridden'|'Unfulfilled'|'Failed', 'StatusMessage': 'string', 'Details': 'string' }, ], 'NextToken': 'string' } :returns: ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp . Spot fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE . EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0 . AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet . """ pass def describe_scaling_policies(PolicyNames=None, ServiceNamespace=None, ResourceId=None, ScalableDimension=None, MaxResults=None, NextToken=None): """ Provides descriptive information about the scaling policies in the specified namespace. You can filter the results using the ResourceId , ScalableDimension , and PolicyNames parameters. To create a scaling policy or update an existing one, see PutScalingPolicy . If you are no longer using a scaling policy, you can delete it using DeleteScalingPolicy . See also: AWS API Documentation Examples This example describes the scaling policies for the ecs service namespace. Expected Output: :example: response = client.describe_scaling_policies( PolicyNames=[ 'string', ], ServiceNamespace='ecs'|'elasticmapreduce'|'ec2'|'appstream', ResourceId='string', ScalableDimension='ecs:service:DesiredCount'|'ec2:spot-fleet-request:TargetCapacity'|'elasticmapreduce:instancegroup:InstanceCount'|'appstream:fleet:DesiredCapacity', MaxResults=123, NextToken='string' ) :type PolicyNames: list :param PolicyNames: The names of the scaling policies to describe. (string) -- :type ServiceNamespace: string :param ServiceNamespace: [REQUIRED] The namespace of the AWS service. For more information, see AWS Service Namespaces in the Amazon Web Services General Reference . :type ResourceId: string :param ResourceId: The identifier of the resource associated with the scaling policy. This string consists of the resource type and unique identifier. If you specify a scalable dimension, you must also specify a resource ID. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp . Spot fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE . EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0 . AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet . :type ScalableDimension: string :param ScalableDimension: The scalable dimension. This string consists of the service namespace, resource type, and scaling property. If you specify a scalable dimension, you must also specify a resource ID. ecs:service:DesiredCount - The desired task count of an ECS service. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot fleet request. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. :type MaxResults: integer :param MaxResults: The maximum number of scalable target results. This value can be between 1 and 50. The default value is 50. If this parameter is used, the operation returns up to MaxResults results at a time, along with a NextToken value. To get the next set of results, include the NextToken value in a subsequent call. If this parameter is not used, the operation returns up to 50 results and a NextToken value, if applicable. :type NextToken: string :param NextToken: The token for the next set of results. :rtype: dict :return: { 'ScalingPolicies': [ { 'PolicyARN': 'string', 'PolicyName': 'string', 'ServiceNamespace': 'ecs'|'elasticmapreduce'|'ec2'|'appstream', 'ResourceId': 'string', 'ScalableDimension': 'ecs:service:DesiredCount'|'ec2:spot-fleet-request:TargetCapacity'|'elasticmapreduce:instancegroup:InstanceCount'|'appstream:fleet:DesiredCapacity', 'PolicyType': 'StepScaling', 'StepScalingPolicyConfiguration': { 'AdjustmentType': 'ChangeInCapacity'|'PercentChangeInCapacity'|'ExactCapacity', 'StepAdjustments': [ { 'MetricIntervalLowerBound': 123.0, 'MetricIntervalUpperBound': 123.0, 'ScalingAdjustment': 123 }, ], 'MinAdjustmentMagnitude': 123, 'Cooldown': 123, 'MetricAggregationType': 'Average'|'Minimum'|'Maximum' }, 'Alarms': [ { 'AlarmName': 'string', 'AlarmARN': 'string' }, ], 'CreationTime': datetime(2015, 1, 1) }, ], 'NextToken': 'string' } :returns: ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp . Spot fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE . EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0 . AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet . """ pass def generate_presigned_url(ClientMethod=None, Params=None, ExpiresIn=None, HttpMethod=None): """ Generate a presigned url given a client, its method, and arguments :type ClientMethod: string :param ClientMethod: The client method to presign for :type Params: dict :param Params: The parameters normally passed to ClientMethod. :type ExpiresIn: int :param ExpiresIn: The number of seconds the presigned url is valid for. By default it expires in an hour (3600 seconds) :type HttpMethod: string :param HttpMethod: The http method to use on the generated url. By default, the http method is whatever is used in the method's model. """ pass def get_paginator(operation_name=None): """ Create a paginator for an operation. :type operation_name: string :param operation_name: The operation name. This is the same name as the method name on the client. For example, if the method name is create_foo, and you'd normally invoke the operation as client.create_foo(**kwargs), if the create_foo operation can be paginated, you can use the call client.get_paginator('create_foo'). :rtype: L{botocore.paginate.Paginator} """ pass def get_waiter(): """ """ pass def put_scaling_policy(PolicyName=None, ServiceNamespace=None, ResourceId=None, ScalableDimension=None, PolicyType=None, StepScalingPolicyConfiguration=None): """ Creates or updates a policy for an Application Auto Scaling scalable target. Each scalable target is identified by a service namespace, resource ID, and scalable dimension. A scaling policy applies to the scalable target identified by those three attributes. You cannot create a scaling policy without first registering a scalable target using RegisterScalableTarget . To update a policy, specify its policy name and the parameters that you want to change. Any parameters that you don't specify are not changed by this update request. You can view the scaling policies for a service namespace using DescribeScalingPolicies . If you are no longer using a scaling policy, you can delete it using DeleteScalingPolicy . See also: AWS API Documentation Examples This example applies a scaling policy to an Amazon ECS service called web-app in the default cluster. The policy increases the desired count of the service by 200%, with a cool down period of 60 seconds. Expected Output: This example applies a scaling policy to an Amazon EC2 Spot fleet. The policy increases the target capacity of the spot fleet by 200%, with a cool down period of 180 seconds.", Expected Output: :example: response = client.put_scaling_policy( PolicyName='string', ServiceNamespace='ecs'|'elasticmapreduce'|'ec2'|'appstream', ResourceId='string', ScalableDimension='ecs:service:DesiredCount'|'ec2:spot-fleet-request:TargetCapacity'|'elasticmapreduce:instancegroup:InstanceCount'|'appstream:fleet:DesiredCapacity', PolicyType='StepScaling', StepScalingPolicyConfiguration={ 'AdjustmentType': 'ChangeInCapacity'|'PercentChangeInCapacity'|'ExactCapacity', 'StepAdjustments': [ { 'MetricIntervalLowerBound': 123.0, 'MetricIntervalUpperBound': 123.0, 'ScalingAdjustment': 123 }, ], 'MinAdjustmentMagnitude': 123, 'Cooldown': 123, 'MetricAggregationType': 'Average'|'Minimum'|'Maximum' } ) :type PolicyName: string :param PolicyName: [REQUIRED] The name of the scaling policy. :type ServiceNamespace: string :param ServiceNamespace: [REQUIRED] The namespace of the AWS service. For more information, see AWS Service Namespaces in the Amazon Web Services General Reference . :type ResourceId: string :param ResourceId: [REQUIRED] The identifier of the resource associated with the scaling policy. This string consists of the resource type and unique identifier. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp . Spot fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE . EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0 . AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet . :type ScalableDimension: string :param ScalableDimension: [REQUIRED] The scalable dimension. This string consists of the service namespace, resource type, and scaling property. ecs:service:DesiredCount - The desired task count of an ECS service. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot fleet request. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. :type PolicyType: string :param PolicyType: The policy type. If you are creating a new policy, this parameter is required. If you are updating a policy, this parameter is not required. :type StepScalingPolicyConfiguration: dict :param StepScalingPolicyConfiguration: The configuration for the step scaling policy. If you are creating a new policy, this parameter is required. If you are updating a policy, this parameter is not required. For more information, see StepScalingPolicyConfiguration and StepAdjustment . AdjustmentType (string) --The adjustment type, which specifies how the ScalingAdjustment parameter in a StepAdjustment is interpreted. StepAdjustments (list) --A set of adjustments that enable you to scale based on the size of the alarm breach. (dict) --Represents a step adjustment for a StepScalingPolicyConfiguration . Describes an adjustment based on the difference between the value of the aggregated CloudWatch metric and the breach threshold that you've defined for the alarm. For the following examples, suppose that you have an alarm with a breach threshold of 50: To trigger the adjustment when the metric is greater than or equal to 50 and less than 60, specify a lower bound of 0 and an upper bound of 10. To trigger the adjustment when the metric is greater than 40 and less than or equal to 50, specify a lower bound of -10 and an upper bound of 0. There are a few rules for the step adjustments for your step policy: The ranges of your step adjustments can't overlap or have a gap. At most one step adjustment can have a null lower bound. If one step adjustment has a negative lower bound, then there must be a step adjustment with a null lower bound. At most one step adjustment can have a null upper bound. If one step adjustment has a positive upper bound, then there must be a step adjustment with a null upper bound. The upper and lower bound can't be null in the same step adjustment. MetricIntervalLowerBound (float) --The lower bound for the difference between the alarm threshold and the CloudWatch metric. If the metric value is above the breach threshold, the lower bound is inclusive (the metric must be greater than or equal to the threshold plus the lower bound). Otherwise, it is exclusive (the metric must be greater than the threshold plus the lower bound). A null value indicates negative infinity. MetricIntervalUpperBound (float) --The upper bound for the difference between the alarm threshold and the CloudWatch metric. If the metric value is above the breach threshold, the upper bound is exclusive (the metric must be less than the threshold plus the upper bound). Otherwise, it is inclusive (the metric must be less than or equal to the threshold plus the upper bound). A null value indicates positive infinity. The upper bound must be greater than the lower bound. ScalingAdjustment (integer) -- [REQUIRED]The amount by which to scale, based on the specified adjustment type. A positive value adds to the current scalable dimension while a negative number removes from the current scalable dimension. MinAdjustmentMagnitude (integer) --The minimum number to adjust your scalable dimension as a result of a scaling activity. If the adjustment type is PercentChangeInCapacity , the scaling policy changes the scalable dimension of the scalable target by this amount. Cooldown (integer) --The amount of time, in seconds, after a scaling activity completes where previous trigger-related scaling activities can influence future scaling events. For scale out policies, while Cooldown is in effect, the capacity that has been added by the previous scale out event that initiated the Cooldown is calculated as part of the desired capacity for the next scale out. The intention is to continuously (but not excessively) scale out. For example, an alarm triggers a step scaling policy to scale out an Amazon ECS service by 2 tasks, the scaling activity completes successfully, and a Cooldown period of 5 minutes starts. During the Cooldown period, if the alarm triggers the same policy again but at a more aggressive step adjustment to scale out the service by 3 tasks, the 2 tasks that were added in the previous scale out event are considered part of that capacity and only 1 additional task is added to the desired count. For scale in policies, the Cooldown period is used to block subsequent scale in requests until it has expired. The intention is to scale in conservatively to protect your application's availability. However, if another alarm triggers a scale out policy during the Cooldown period after a scale-in, Application Auto Scaling scales out your scalable target immediately. MetricAggregationType (string) --The aggregation type for the CloudWatch metrics. Valid values are Minimum , Maximum , and Average . :rtype: dict :return: { 'PolicyARN': 'string' } """ pass def register_scalable_target(ServiceNamespace=None, ResourceId=None, ScalableDimension=None, MinCapacity=None, MaxCapacity=None, RoleARN=None): """ Registers or updates a scalable target. A scalable target is a resource that Application Auto Scaling can scale out or scale in. After you have registered a scalable target, you can use this operation to update the minimum and maximum values for your scalable dimension. After you register a scalable target, you can create and apply scaling policies using PutScalingPolicy . You can view the scaling policies for a service namespace using DescribeScalableTargets . If you are no longer using a scalable target, you can deregister it using DeregisterScalableTarget . See also: AWS API Documentation Examples This example registers a scalable target from an Amazon ECS service called web-app that is running on the default cluster, with a minimum desired count of 1 task and a maximum desired count of 10 tasks. Expected Output: This example registers a scalable target from an Amazon EC2 Spot fleet with a minimum target capacity of 1 and a maximum of 10. Expected Output: :example: response = client.register_scalable_target( ServiceNamespace='ecs'|'elasticmapreduce'|'ec2'|'appstream', ResourceId='string', ScalableDimension='ecs:service:DesiredCount'|'ec2:spot-fleet-request:TargetCapacity'|'elasticmapreduce:instancegroup:InstanceCount'|'appstream:fleet:DesiredCapacity', MinCapacity=123, MaxCapacity=123, RoleARN='string' ) :type ServiceNamespace: string :param ServiceNamespace: [REQUIRED] The namespace of the AWS service. For more information, see AWS Service Namespaces in the Amazon Web Services General Reference . :type ResourceId: string :param ResourceId: [REQUIRED] The identifier of the resource associated with the scalable target. This string consists of the resource type and unique identifier. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp . Spot fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE . EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0 . AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet . :type ScalableDimension: string :param ScalableDimension: [REQUIRED] The scalable dimension associated with the scalable target. This string consists of the service namespace, resource type, and scaling property. ecs:service:DesiredCount - The desired task count of an ECS service. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot fleet request. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. :type MinCapacity: integer :param MinCapacity: The minimum value to scale to in response to a scale in event. This parameter is required if you are registering a scalable target and optional if you are updating one. :type MaxCapacity: integer :param MaxCapacity: The maximum value to scale to in response to a scale out event. This parameter is required if you are registering a scalable target and optional if you are updating one. :type RoleARN: string :param RoleARN: The ARN of an IAM role that allows Application Auto Scaling to modify the scalable target on your behalf. This parameter is required when you register a scalable target and optional when you update one. :rtype: dict :return: {} :returns: (dict) -- """ pass
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7
c2ab8003f1b753b5e1411f66ffb6ad6ccf0e3554
167
py
Python
kolibri/core/__init__.py
rtibbles/kolibri
7efdf0497738c793f281013f9913f8ecc1a55f10
[ "MIT" ]
1
2021-11-09T11:30:12.000Z
2021-11-09T11:30:12.000Z
kolibri/core/__init__.py
rtibbles/kolibri
7efdf0497738c793f281013f9913f8ecc1a55f10
[ "MIT" ]
7
2016-06-23T16:01:02.000Z
2018-12-01T22:15:13.000Z
kolibri/core/__init__.py
aronasorman/kolibri
940672bc849cd0b26d7d84ee08a34f072c4f6cd6
[ "MIT" ]
1
2021-06-01T23:15:26.000Z
2021-06-01T23:15:26.000Z
"""TODO: Write something about this module (everything in the docstring enters the docs) """ from __future__ import print_function, unicode_literals, absolute_import
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7
c2c24d3bdfe2dbff47146a874fac5e05d2815336
6,766
py
Python
logical/examples/examples_from_gate_to_serial_annealer/one_way_equal_dwave.py
malcolmregan/GateCircuit-to-AnnealerEmbedding
33a1a4ea2ebd707ade0677e0df468d5120a861db
[ "Apache-2.0" ]
null
null
null
logical/examples/examples_from_gate_to_serial_annealer/one_way_equal_dwave.py
malcolmregan/GateCircuit-to-AnnealerEmbedding
33a1a4ea2ebd707ade0677e0df468d5120a861db
[ "Apache-2.0" ]
null
null
null
logical/examples/examples_from_gate_to_serial_annealer/one_way_equal_dwave.py
malcolmregan/GateCircuit-to-AnnealerEmbedding
33a1a4ea2ebd707ade0677e0df468d5120a861db
[ "Apache-2.0" ]
null
null
null
#!/usr/bin/python3 import dimod ################################################################################ ## NOT - target: q0_0 ## ################################################################################ if 'q0_0' not in globals(): q0_0=0 bqm = dimod.BinaryQuadraticModel({'q0_0' : -4, 'outq0_0' : -4}, {('q0_0', 'outq0_0') : 8}, 4, dimod.BINARY) sampler = dimod.ExactSolver() response = sampler.sample(bqm) for sample, energy in response.data(['sample', 'energy']): if sample['q0_0']==q0_0 and int(energy)==0: q0_0_before = sample['q0_0'] q0_0=sample['outq0_0'] break print('#' * 80) print("NOT operation on q0_0:") print(" in: q0_0={0}".format(q0_0_before)) print(" out: q0_0={0}".format(q0_0)) print('#' * 80) print() ################################################################################ ## NOT - target: q1_0 ## ################################################################################ if 'q1_0' not in globals(): q1_0=0 bqm = dimod.BinaryQuadraticModel({'q1_0' : -4, 'outq1_0' : -4}, {('q1_0', 'outq1_0') : 8}, 4, dimod.BINARY) sampler = dimod.ExactSolver() response = sampler.sample(bqm) for sample, energy in response.data(['sample', 'energy']): if sample['q1_0']==q1_0 and int(energy)==0: q1_0_before = sample['q1_0'] q1_0=sample['outq1_0'] break print('#' * 80) print("NOT operation on q1_0:") print(" in: q1_0={0}".format(q1_0_before)) print(" out: q1_0={0}".format(q1_0)) print('#' * 80) print() ################################################################################ ## NOT - target: q3_0 ## ################################################################################ if 'q3_0' not in globals(): q3_0=0 bqm = dimod.BinaryQuadraticModel({'q3_0' : -4, 'outq3_0' : -4}, {('q3_0', 'outq3_0') : 8}, 4, dimod.BINARY) sampler = dimod.ExactSolver() response = sampler.sample(bqm) for sample, energy in response.data(['sample', 'energy']): if sample['q3_0']==q3_0 and int(energy)==0: q3_0_before = sample['q3_0'] q3_0=sample['outq3_0'] break print('#' * 80) print("NOT operation on q3_0:") print(" in: q3_0={0}".format(q3_0_before)) print(" out: q3_0={0}".format(q3_0)) print('#' * 80) print() ################################################################################ ## CNOT - control: q3_0 target: q2_0 ## ################################################################################ if 'q3_0' not in globals(): q3_0=0 if 'q2_0' not in globals(): q2_0=0 bqm = dimod.BinaryQuadraticModel({'q3_0' : 1, 'q2_0' : 1, 'outq2_0' : 1, 'anc' : 4}, {('q3_0', 'q2_0') : 2, ('q3_0', 'outq2_0') : -2, ('q2_0', 'outq2_0') : -2, ('q3_0', 'anc') : -4, ('q2_0', 'anc') : -4, ('outq2_0', 'anc') : 4}, 0, dimod.BINARY) sampler = dimod.ExactSolver() response = sampler.sample(bqm) for sample, energy in response.data(['sample', 'energy']): if sample['q3_0']==q3_0 and sample['q2_0']==q2_0 and int(energy)==0: q3_0=sample['q3_0'] q2_0=sample['outq2_0'] tgt_before = sample['q2_0'] break print('#' * 80) print("CNOT operation on q3_0 (control) and q2_0 (target):") print(" in: q3_0={0}, q2_0={1}".format(q3_0,tgt_before)) print(" out: q3_0={0}, q2_0={1}".format(q3_0,q2_0)) print('#' * 80) print() ################################################################################ ## CCNOT - control1: q0_0 control2: q3_0 target: q2_0 ## ################################################################################ if 'q0_0' not in globals(): q0_0=0 if 'q3_0' not in globals(): q3_0=0 if 'q2_0' not in globals(): q2_0=0 bqm = dimod.BinaryQuadraticModel({'anc1' : 4, 'anc2' : 4, 'outq2_0' : 1, 'q2_0' : 1}, {('anc1', 'anc2') : -4, ('anc1', 'outq2_0') : 4, ('anc1','q2_0') : -4, ('anc2', 'q0_0') : -2, ('anc2', 'q3_0') : -2, ('anc2', 'outq2_0') : -2, ('anc2', 'q2_0') : 2, ('q0_0', 'q3_0') : 1, ('outq2_0', 'q2_0') : -2}, 0, dimod.BINARY) sampler = dimod.ExactSolver() response = sampler.sample(bqm) for sample, energy in response.data(['sample', 'energy']): if sample['q0_0']==q0_0 and sample['q3_0']==q3_0 and sample['q2_0']==q2_0 and int(energy)==0: q0_0=sample['q0_0'] q3_0=sample['q3_0'] q2_0=sample['outq2_0'] tgt_before = sample['q2_0'] break print('#' * 80) print("CCNOT operation on q0_0 (control1), q3_0 (control2) and q2_0 (target):") print(" in: q0_0={0}, q3_0={1}, q2_0={2}".format(q0_0,q3_0,tgt_before)) print(" out: q0_0={0}, q3_0={1}, q2_0={2}".format(q0_0,q3_0,q2_0)) print('#' * 80) print() ################################################################################ ## CCNOT - control1: q1_0 control2: q3_0 target: q2_0 ## ################################################################################ if 'q1_0' not in globals(): q1_0=0 if 'q3_0' not in globals(): q3_0=0 if 'q2_0' not in globals(): q2_0=0 bqm = dimod.BinaryQuadraticModel({'anc1' : 4, 'anc2' : 4, 'outq2_0' : 1, 'q2_0' : 1}, {('anc1', 'anc2') : -4, ('anc1', 'outq2_0') : 4, ('anc1','q2_0') : -4, ('anc2', 'q1_0') : -2, ('anc2', 'q3_0') : -2, ('anc2', 'outq2_0') : -2, ('anc2', 'q2_0') : 2, ('q1_0', 'q3_0') : 1, ('outq2_0', 'q2_0') : -2}, 0, dimod.BINARY) sampler = dimod.ExactSolver() response = sampler.sample(bqm) for sample, energy in response.data(['sample', 'energy']): if sample['q1_0']==q1_0 and sample['q3_0']==q3_0 and sample['q2_0']==q2_0 and int(energy)==0: q1_0=sample['q1_0'] q3_0=sample['q3_0'] q2_0=sample['outq2_0'] tgt_before = sample['q2_0'] break print('#' * 80) print("CCNOT operation on q1_0 (control1), q3_0 (control2) and q2_0 (target):") print(" in: q1_0={0}, q3_0={1}, q2_0={2}".format(q1_0,q3_0,tgt_before)) print(" out: q1_0={0}, q3_0={1}, q2_0={2}".format(q1_0,q3_0,q2_0)) print('#' * 80) print() ################################################################################ ## NOT - target: q3_0 ## ################################################################################ if 'q3_0' not in globals(): q3_0=0 bqm = dimod.BinaryQuadraticModel({'q3_0' : -4, 'outq3_0' : -4}, {('q3_0', 'outq3_0') : 8}, 4, dimod.BINARY) sampler = dimod.ExactSolver() response = sampler.sample(bqm) for sample, energy in response.data(['sample', 'energy']): if sample['q3_0']==q3_0 and int(energy)==0: q3_0_before = sample['q3_0'] q3_0=sample['outq3_0'] break print('#' * 80) print("NOT operation on q3_0:") print(" in: q3_0={0}".format(q3_0_before)) print(" out: q3_0={0}".format(q3_0)) print('#' * 80) print() print("Measurement of q0_0 => {0}".format(q0_0)) print("Measurement of q1_0 => {0}".format(q1_0)) print("Measurement of q2_0 => {0}".format(q2_0))
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8
c2d7c15490cba5848ac44c0604efb2729042a2e1
633
py
Python
src/entities/projectiles/projectile_base.py
Oasixer/drive-and-survive
134ca725efed16fdd31df0bb76c520cd15d7b1ed
[ "MIT" ]
1
2019-02-24T23:37:34.000Z
2019-02-24T23:37:34.000Z
src/entities/projectiles/projectile_base.py
Oasixer/drive-and-survive
134ca725efed16fdd31df0bb76c520cd15d7b1ed
[ "MIT" ]
null
null
null
src/entities/projectiles/projectile_base.py
Oasixer/drive-and-survive
134ca725efed16fdd31df0bb76c520cd15d7b1ed
[ "MIT" ]
null
null
null
from entities.entity_base import Entity class Projectile(Entity): def __init__(self, position, velocity, sprite, movement="normal", duration=None): pass ''' class Bomb(Projectile): def __init__(self, position, velocity): sprite = None Projectile.__init__(position, velocity, sprite) pass class Bullet(Projectile): def __init__(self, position, velocity): sprite = None Projectile.__init__(position, velocity, sprite) class Laser(Projectile): def __init__(self, position, velocity): sprite = None Projectile.__init__(position, velocity, sprite)'''
24.346154
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8
6c5521b1ed1905de6d3de3673bb25d276dcb9ae4
124
py
Python
demo.py
WowCZ/strac
a55195a04ea4f1a4051fdcf11e83777b47ca83e1
[ "Apache-2.0" ]
null
null
null
demo.py
WowCZ/strac
a55195a04ea4f1a4051fdcf11e83777b47ca83e1
[ "Apache-2.0" ]
null
null
null
demo.py
WowCZ/strac
a55195a04ea4f1a4051fdcf11e83777b47ca83e1
[ "Apache-2.0" ]
null
null
null
import os os.system('sbatch -p cpu -n 1 -c 2 -o env1_parallel_log/LOG0 -e env1_parallel_log/ERR env1_parallel_log/run0.sh')
41.333333
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