hexsha string | size int64 | ext string | lang string | max_stars_repo_path string | max_stars_repo_name string | max_stars_repo_head_hexsha string | max_stars_repo_licenses list | max_stars_count int64 | max_stars_repo_stars_event_min_datetime string | max_stars_repo_stars_event_max_datetime string | max_issues_repo_path string | max_issues_repo_name string | max_issues_repo_head_hexsha string | max_issues_repo_licenses list | max_issues_count int64 | max_issues_repo_issues_event_min_datetime string | max_issues_repo_issues_event_max_datetime string | max_forks_repo_path string | max_forks_repo_name string | max_forks_repo_head_hexsha string | max_forks_repo_licenses list | max_forks_count int64 | max_forks_repo_forks_event_min_datetime string | max_forks_repo_forks_event_max_datetime string | content string | avg_line_length float64 | max_line_length int64 | alphanum_fraction float64 | qsc_code_num_words_quality_signal int64 | qsc_code_num_chars_quality_signal float64 | qsc_code_mean_word_length_quality_signal float64 | qsc_code_frac_words_unique_quality_signal float64 | qsc_code_frac_chars_top_2grams_quality_signal float64 | qsc_code_frac_chars_top_3grams_quality_signal float64 | qsc_code_frac_chars_top_4grams_quality_signal float64 | qsc_code_frac_chars_dupe_5grams_quality_signal float64 | qsc_code_frac_chars_dupe_6grams_quality_signal float64 | qsc_code_frac_chars_dupe_7grams_quality_signal float64 | qsc_code_frac_chars_dupe_8grams_quality_signal float64 | qsc_code_frac_chars_dupe_9grams_quality_signal float64 | qsc_code_frac_chars_dupe_10grams_quality_signal float64 | qsc_code_frac_chars_replacement_symbols_quality_signal float64 | qsc_code_frac_chars_digital_quality_signal float64 | qsc_code_frac_chars_whitespace_quality_signal float64 | qsc_code_size_file_byte_quality_signal float64 | qsc_code_num_lines_quality_signal float64 | qsc_code_num_chars_line_max_quality_signal float64 | qsc_code_num_chars_line_mean_quality_signal float64 | qsc_code_frac_chars_alphabet_quality_signal float64 | qsc_code_frac_chars_comments_quality_signal float64 | qsc_code_cate_xml_start_quality_signal float64 | qsc_code_frac_lines_dupe_lines_quality_signal float64 | qsc_code_cate_autogen_quality_signal float64 | qsc_code_frac_lines_long_string_quality_signal float64 | qsc_code_frac_chars_string_length_quality_signal float64 | qsc_code_frac_chars_long_word_length_quality_signal float64 | qsc_code_frac_lines_string_concat_quality_signal float64 | qsc_code_cate_encoded_data_quality_signal float64 | qsc_code_frac_chars_hex_words_quality_signal float64 | qsc_code_frac_lines_prompt_comments_quality_signal float64 | qsc_code_frac_lines_assert_quality_signal float64 | qsc_codepython_cate_ast_quality_signal float64 | qsc_codepython_frac_lines_func_ratio_quality_signal float64 | qsc_codepython_cate_var_zero_quality_signal bool | qsc_codepython_frac_lines_pass_quality_signal float64 | qsc_codepython_frac_lines_import_quality_signal float64 | qsc_codepython_frac_lines_simplefunc_quality_signal float64 | qsc_codepython_score_lines_no_logic_quality_signal float64 | qsc_codepython_frac_lines_print_quality_signal float64 | qsc_code_num_words int64 | qsc_code_num_chars int64 | qsc_code_mean_word_length int64 | qsc_code_frac_words_unique null | qsc_code_frac_chars_top_2grams int64 | qsc_code_frac_chars_top_3grams int64 | qsc_code_frac_chars_top_4grams int64 | qsc_code_frac_chars_dupe_5grams int64 | qsc_code_frac_chars_dupe_6grams int64 | qsc_code_frac_chars_dupe_7grams int64 | qsc_code_frac_chars_dupe_8grams int64 | qsc_code_frac_chars_dupe_9grams int64 | qsc_code_frac_chars_dupe_10grams int64 | qsc_code_frac_chars_replacement_symbols int64 | qsc_code_frac_chars_digital int64 | qsc_code_frac_chars_whitespace int64 | qsc_code_size_file_byte int64 | qsc_code_num_lines int64 | qsc_code_num_chars_line_max int64 | qsc_code_num_chars_line_mean int64 | qsc_code_frac_chars_alphabet int64 | qsc_code_frac_chars_comments int64 | qsc_code_cate_xml_start int64 | qsc_code_frac_lines_dupe_lines int64 | qsc_code_cate_autogen int64 | qsc_code_frac_lines_long_string int64 | qsc_code_frac_chars_string_length int64 | qsc_code_frac_chars_long_word_length int64 | qsc_code_frac_lines_string_concat null | qsc_code_cate_encoded_data int64 | qsc_code_frac_chars_hex_words int64 | qsc_code_frac_lines_prompt_comments int64 | qsc_code_frac_lines_assert int64 | qsc_codepython_cate_ast int64 | qsc_codepython_frac_lines_func_ratio int64 | qsc_codepython_cate_var_zero int64 | qsc_codepython_frac_lines_pass int64 | qsc_codepython_frac_lines_import int64 | qsc_codepython_frac_lines_simplefunc int64 | qsc_codepython_score_lines_no_logic int64 | qsc_codepython_frac_lines_print int64 | effective string | hits int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ba1ef5d24ccbf2a971832aa246a86c2ee1b37525 | 176 | py | Python | removecaractere.py | DiegoMGouveia/validadordecnpj | c982911cf00ba5c3202d4501a52c6d6e27d15c3a | [
"CC0-1.0"
] | null | null | null | removecaractere.py | DiegoMGouveia/validadordecnpj | c982911cf00ba5c3202d4501a52c6d6e27d15c3a | [
"CC0-1.0"
] | null | null | null | removecaractere.py | DiegoMGouveia/validadordecnpj | c982911cf00ba5c3202d4501a52c6d6e27d15c3a | [
"CC0-1.0"
] | null | null | null | def removcaract(cnpj):
documento = []
for x in cnpj:
if x.isnumeric():
documento.append(x)
documento = ''.join(documento)
return documento
| 19.555556 | 34 | 0.579545 | 19 | 176 | 5.368421 | 0.631579 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.306818 | 176 | 8 | 35 | 22 | 0.836066 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0 | 0 | 0.285714 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
ba1fb220aa59dba58d3443a661c782258ca19b13 | 54 | py | Python | src/python/WMCore/DQMCat/__init__.py | khurtado/WMCore | f74e252412e49189a92962945a94f93bec81cd1e | [
"Apache-2.0"
] | 21 | 2015-11-19T16:18:45.000Z | 2021-12-02T18:20:39.000Z | src/python/WMCore/DQMCat/__init__.py | khurtado/WMCore | f74e252412e49189a92962945a94f93bec81cd1e | [
"Apache-2.0"
] | 5,671 | 2015-01-06T14:38:52.000Z | 2022-03-31T22:11:14.000Z | src/python/WMCore/DQMCat/__init__.py | khurtado/WMCore | f74e252412e49189a92962945a94f93bec81cd1e | [
"Apache-2.0"
] | 67 | 2015-01-21T15:55:38.000Z | 2022-02-03T19:53:13.000Z | #!/usr/bin/env python
"""
_DQMCat_
"""
__all__ = []
| 6.75 | 21 | 0.555556 | 6 | 54 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.185185 | 54 | 7 | 22 | 7.714286 | 0.545455 | 0.537037 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
ba26069bf439820986a841df4e9fba10364c2283 | 583 | py | Python | python/API_test/test.py | GG-yuki/bugs | aabd576e9e57012a3390007af890b7c6ab6cdda8 | [
"MIT"
] | null | null | null | python/API_test/test.py | GG-yuki/bugs | aabd576e9e57012a3390007af890b7c6ab6cdda8 | [
"MIT"
] | null | null | null | python/API_test/test.py | GG-yuki/bugs | aabd576e9e57012a3390007af890b7c6ab6cdda8 | [
"MIT"
] | null | null | null | # import numpy as np
# import matplotlib.pyplot as plt
#
# def f(t):
# return np.exp(-t) * np.cos(2*np.pi*t)
#
# t1 = np.arange(0.0, 5.0, 0.1)
# t2 = np.arange(0.0, 5.0, 0.02)
#
# plt.figure("2suplot")
# plt.subplot(211)
# plt.plot(t1, f(t1), 'bo', t2, f(t2), 'k')
#
# plt.subplot(212)
# plt.plot(t2, np.cos(2*np.pi*t2), 'r--')
# plt.show()
# plt.figure("2suplot222")
# plt.subplot(211)
# plt.plot(t1, f(t1), 'bo', t2, f(t2), 'k')
#
# plt.subplot(212)
# plt.plot(t2, np.cos(2*np.pi*t2), 'r--')
# plt.show()
if __name__ == '__main__':
print('程序自身在运行')
else:
print('我来自另一模块') | 21.592593 | 43 | 0.572899 | 110 | 583 | 2.963636 | 0.363636 | 0.02454 | 0.055215 | 0.07362 | 0.570552 | 0.539877 | 0.539877 | 0.460123 | 0.460123 | 0.460123 | 0 | 0.095142 | 0.152659 | 583 | 27 | 44 | 21.592593 | 0.564777 | 0.795883 | 0 | 0 | 0 | 0 | 0.229167 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 0.5 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 2 |
e83b2680f00ceeb1442b4300ebb740aea12fe54c | 1,372 | py | Python | tests/test_providers/test_food.py | chinghwayu/mimesis | 3afcda8e68ee2f6feb61a5c7ca663328909828fa | [
"MIT"
] | 2,619 | 2017-07-18T13:25:46.000Z | 2022-03-31T17:52:53.000Z | tests/test_providers/test_food.py | chinghwayu/mimesis | 3afcda8e68ee2f6feb61a5c7ca663328909828fa | [
"MIT"
] | 947 | 2017-07-15T18:32:12.000Z | 2022-03-28T10:04:15.000Z | tests/test_providers/test_food.py | chinghwayu/mimesis | 3afcda8e68ee2f6feb61a5c7ca663328909828fa | [
"MIT"
] | 328 | 2017-07-18T01:11:12.000Z | 2022-03-30T09:20:48.000Z | # -*- coding: utf-8 -*-
import re
import pytest
from mimesis import Food
from . import patterns
class TestFood(object):
def test_str(self, food):
assert re.match(patterns.DATA_PROVIDER_STR_REGEX, str(food))
def test_vegetable(self, food):
result = food.vegetable()
assert result in food._data["vegetables"]
def test_fruit(self, food):
result = food.fruit()
assert result in food._data["fruits"]
def test_dish(self, food):
result = food.dish()
assert result in food._data["dishes"]
def test_drink(self, food):
result = food.drink()
assert result in food._data["drinks"]
def test_spices(self, food):
result = food.spices()
assert result in food._data["spices"]
class TestSeededFood(object):
@pytest.fixture
def fd1(self, seed):
return Food(seed=seed)
@pytest.fixture
def fd2(self, seed):
return Food(seed=seed)
def test_vegetable(self, fd1, fd2):
assert fd1.vegetable() == fd2.vegetable()
def test_fruit(self, fd1, fd2):
assert fd1.fruit() == fd2.fruit()
def test_dish(self, fd1, fd2):
assert fd1.dish() == fd2.dish()
def test_drink(self, fd1, fd2):
assert fd1.drink() == fd2.drink()
def test_spices(self, fd1, fd2):
assert fd1.spices() == fd2.spices()
| 23.655172 | 68 | 0.617347 | 180 | 1,372 | 4.6 | 0.216667 | 0.092995 | 0.084541 | 0.108696 | 0.310386 | 0.062802 | 0 | 0 | 0 | 0 | 0 | 0.022505 | 0.255102 | 1,372 | 57 | 69 | 24.070175 | 0.787671 | 0.015306 | 0 | 0.102564 | 0 | 0 | 0.025204 | 0 | 0 | 0 | 0 | 0 | 0.282051 | 1 | 0.333333 | false | 0 | 0.102564 | 0.051282 | 0.538462 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
e842075d02d5122efe26798a667e10eb60633e5d | 22,017 | py | Python | AutomatedTesting/Gem/PythonTests/Atom/tests/hydra_AtomEditorComponents_DeferredFogAdded.py | BreakerOfThings/o3de | f4c59f868c726470ec910623facd836047d059c3 | [
"Apache-2.0",
"MIT"
] | 1 | 2022-03-28T08:06:58.000Z | 2022-03-28T08:06:58.000Z | AutomatedTesting/Gem/PythonTests/Atom/tests/hydra_AtomEditorComponents_DeferredFogAdded.py | BreakerOfThings/o3de | f4c59f868c726470ec910623facd836047d059c3 | [
"Apache-2.0",
"MIT"
] | null | null | null | AutomatedTesting/Gem/PythonTests/Atom/tests/hydra_AtomEditorComponents_DeferredFogAdded.py | BreakerOfThings/o3de | f4c59f868c726470ec910623facd836047d059c3 | [
"Apache-2.0",
"MIT"
] | null | null | null | """
Copyright (c) Contributors to the Open 3D Engine Project.
For complete copyright and license terms please see the LICENSE at the root of this distribution.
SPDX-License-Identifier: Apache-2.0 OR MIT
"""
class Tests:
deferred_fog_creation = (
"Deferred Fog Entity successfully created",
"P0: Deferred Fog Entity failed to be created")
deferred_fog_component = (
"Entity has a Deferred Fog component",
"P0: Entity failed to find Deferred Fog component")
deferred_fog_component_removal = (
"Deferred Fog component successfully removed",
"P0: Deferred Fog component failed to be removed")
removal_undo = (
"UNDO Deferred Fog component removal success",
"P0: UNDO Deferred Fog component removal failed")
deferred_fog_disabled = (
"Deferred Fog component disabled",
"P0: Deferred Fog component was not disabled")
postfx_layer_component = (
"Entity has a PostFX Layer component",
"P0: Entity did not have an PostFX Layer component")
deferred_fog_enabled = (
"Deferred Fog component enabled",
"P0: Deferred Fog component was not enabled")
enable_deferred_fog_parameter_enabled = (
"Enable Deferred Fog parameter enabled",
"P0: Enable Deferred Fog parameter was not enabled")
enable_deferred_fog_parameter_disabled = (
"Enable Deferred Fog parameter disabled",
"P0: Enable Deferred Fog parameter was not disabled")
enable_turbulence_properties_parameter_enabled = (
"Enable Turbulence Properties parameter enabled",
"P1: Enable Turbulence Properties parameter was not enabled")
enable_turbulence_properties_parameter_disabled = (
"Enable Turbulence Properties parameter disabled",
"P1: Enable Turbulence Properties parameter was not disabled")
enable_fog_layer_parameter_enabled = (
"Enable Fog Layer parameter enabled",
"P1: Enable Fog Layer parameter was not enabled")
enable_fog_layer_parameter_disabled = (
"Enable Fog Layer parameter disabled",
"P1: Enable Fog Layer parameter was not disabled")
edit_fog_color = (
"Fog Color parameter updated",
"P1: Fog Color parameter failed to update")
fog_start_min = (
"Fog Start Distance set to minimum value",
"P1: Fog Start Distance failed to be set to minimum value")
fog_start_max = (
"Fog Start Distance set to maximum value",
"P1: Fog Start Distance failed to be set to maximum value")
fog_end_min = (
"Fog End Distance set to minimum value",
"P1: Fog End Distance failed to be set to minimum value")
fog_end_max = (
"Fog End Distance set to maximum value",
"P1: Fog End Distance failed to be set to maximum value")
fog_bottom_height_min = (
"Fog Bottom Height set to minimum value",
"P1: Fog Bottom Height failed to be set to minimum value")
fog_bottom_height_max = (
"Fog Bottom Height set to maximum value",
"P1: Fog Bottom Height failed to be set to maximum value")
fog_max_height_min = (
"Fog Max Height set to minimum value",
"P1: Fog Max Height failed to be set to minimum value")
fog_max_height_max = (
"Fog Max Height set to maximum value",
"P1: Fog Max Height failed to be set to maximum value")
first_octave_scale = (
"Noise Texture First Octave Scale updated",
"P1: Noise Texture First Octave Scale failed to be updated")
first_octave_velocity = (
"Noise Texture First Octave Velocity updated",
"P1: Noise Texture First Octave Velocity failed to be updated")
second_octave_scale = (
"Noise Texture Second Octave Scale updated",
"P1: Noise Texture Second Octave Scale failed to be updated")
second_octave_velocity = (
"Noise Texture Second Octave Velocity updated",
"P1: Noise Texture Second Octave Velocity failed to be updated")
octaves_blend_factor_min = (
"Octaves Blend Factor set to minimum value",
"P1: Octaves Blend Factort failed to be set to minimum value")
octaves_blend_factor_max = (
"Octaves Blend Factor set to maximum value",
"P1: Octaves Blend Factort failed to be set to maximum value")
enter_game_mode = (
"Entered game mode",
"P0: Failed to enter game mode")
exit_game_mode = (
"Exited game mode",
"P0: Couldn't exit game mode")
is_visible = (
"Entity is visible",
"P0: Entity was not visible")
is_hidden = (
"Entity is hidden",
"P0: Entity was not hidden")
entity_deleted = (
"Entity deleted",
"P0: Entity was not deleted")
deletion_undo = (
"UNDO deletion success",
"P0: UNDO deletion failed")
deletion_redo = (
"REDO deletion success",
"P0: REDO deletion failed")
def AtomEditorComponents_DeferredFog_AddedToEntity():
"""
Summary:
Tests the Deferred Fog component can be added to an entity and has the expected functionality.
Test setup:
- Wait for Editor idle loop.
- Open the "Base" level.
Expected Behavior:
The component can be added, used in game mode, hidden/shown, deleted, and has accurate required components.
Creation and deletion undo/redo should also work.
Test Steps:
1) Create an Deferred Fog entity with no components.
2) Add Deferred Fog component to Deferred Fog entity.
3) Remove the Deferred Fog component.
4) Undo Bloom component removal.
5) Verify Deferred Fog component not enabled.
6) Add PostFX Layer component since it is required by the Deferred Fog component.
7) Verify Deferred Fog component is enabled.
8) Enable/Disable the "Enable Deferred Fog" parameter.
9) Enable/Disable the Enable Turbulence Properties parameter.
10) Enable/Disable the Enable Fog Layer parameter.
11) Edit the Fog Color parameter.
12) Update the Fog Start Distance parameter to min/max values.
13) Update the Fog End Distance parameter to min/max values.
14) Update the Fog Bottom Height parameter to min/max values.
15) Update the Fog Max Height parameter to min/max values.
16) Edit the Noise Texture parameter.
17) Update the Noise Texture First Octave Scale parameter to low/high values.
18) Update the Noise Texture First Octave Velocity parameter to low/high values.
19) Update the Noise Texture Second Octave Scale parameter to low/high values.
20) Update the Noise Texture Second Octave Velocity parameter to low/high values.
21) Update the Octaves Blend Factor parameter to min/max values.
22 Enter/Exit game mode.
23) Test IsHidden.
24) Test IsVisible.
25) Delete Deferred Fog entity.
26) UNDO deletion.
27) REDO deletion.
28) Look for errors.
:return: None
"""
import azlmbr.legacy.general as general
import azlmbr.math as math
from editor_python_test_tools.editor_entity_utils import EditorEntity
from editor_python_test_tools.utils import Report, Tracer, TestHelper
from Atom.atom_utils.atom_constants import AtomComponentProperties
with Tracer() as error_tracer:
# Test setup begins.
# Setup: Wait for Editor idle loop before executing Python hydra scripts then open "Base" level.
TestHelper.init_idle()
TestHelper.open_level("Graphics", "base_empty")
# Test steps begin.
# 1. Create an Deferred Fog entity with no components.
deferred_fog_entity = EditorEntity.create_editor_entity(AtomComponentProperties.deferred_fog())
Report.critical_result(Tests.deferred_fog_creation, deferred_fog_entity.exists())
# 2. Add Deferred Fog component to Deferred Fog entity.
deferred_fog_component = deferred_fog_entity.add_component(
AtomComponentProperties.deferred_fog())
Report.critical_result(
Tests.deferred_fog_component,
deferred_fog_entity.has_component(AtomComponentProperties.deferred_fog()))
# 3. Remove the Deferred Fog component.
deferred_fog_component.remove()
general.idle_wait_frames(1)
Report.critical_result(Tests.deferred_fog_component_removal,
not deferred_fog_entity.has_component(AtomComponentProperties.deferred_fog()))
# 4. Undo Bloom component removal.
general.undo()
general.idle_wait_frames(1)
Report.result(Tests.removal_undo, deferred_fog_entity.has_component(AtomComponentProperties.deferred_fog()))
# 5. Verify Deferred Fog component not enabled.
Report.result(Tests.deferred_fog_disabled, not deferred_fog_component.is_enabled())
# 6. Add PostFX Layer component since it is required by the Deferred Fog component.
deferred_fog_entity.add_component(AtomComponentProperties.postfx_layer())
general.idle_wait_frames(1)
Report.result(
Tests.postfx_layer_component,
deferred_fog_entity.has_component(AtomComponentProperties.postfx_layer()))
# 7. Verify Deferred Fog component is enabled.
Report.result(Tests.deferred_fog_enabled, deferred_fog_component.is_enabled())
# 8. Enable/Disable the Enable Deferred Fog parameter.
# Enable the Enable Deferred Fog parameter.
deferred_fog_component.set_component_property_value(
AtomComponentProperties.deferred_fog('Enable Deferred Fog'), True)
Report.result(Tests.enable_deferred_fog_parameter_enabled,
deferred_fog_component.get_component_property_value(
AtomComponentProperties.deferred_fog('Enable Deferred Fog')) is True)
# Disable the Enable Deferred Fog parameter.
deferred_fog_component.set_component_property_value(
AtomComponentProperties.deferred_fog('Enable Deferred Fog'), False)
Report.result(Tests.enable_deferred_fog_parameter_disabled,
deferred_fog_component.get_component_property_value(
AtomComponentProperties.deferred_fog('Enable Deferred Fog')) is False)
# Re-enable the Enable Deferred Fog parameter for game mode verification.
deferred_fog_component.set_component_property_value(
AtomComponentProperties.deferred_fog('Enable Deferred Fog'), True)
general.idle_wait_frames(1)
# 9. Enable/Disable the Enable Turbulence Properties parameter.
# Enable the Enable Turbulence Properties parameter.
deferred_fog_component.set_component_property_value(
AtomComponentProperties.deferred_fog('Enable Turbulence Properties'), True)
Report.result(Tests.enable_turbulence_properties_parameter_enabled,
deferred_fog_component.get_component_property_value(
AtomComponentProperties.deferred_fog('Enable Turbulence Properties')) is True)
# Disable the Enable Turbulence Properties parameter.
deferred_fog_component.set_component_property_value(
AtomComponentProperties.deferred_fog('Enable Turbulence Properties'), False)
Report.result(Tests.enable_turbulence_properties_parameter_disabled,
deferred_fog_component.get_component_property_value(
AtomComponentProperties.deferred_fog('Enable Turbulence Properties')) is False)
# Re-enable the Enable Turbulence Properties parameter for game mode verification.
deferred_fog_component.set_component_property_value(
AtomComponentProperties.deferred_fog('Enable Turbulence Properties'), True)
# 10. Enable/Disable the Enable Fog Layer parameter.
# Enable the Enable Fog Layer parameter.
deferred_fog_component.set_component_property_value(
AtomComponentProperties.deferred_fog('Enable Fog Layer'), True)
Report.result(Tests.enable_fog_layer_parameter_enabled,
deferred_fog_component.get_component_property_value(
AtomComponentProperties.deferred_fog('Enable Fog Layer')) is True)
# Disable the Enable Fog Layer parameter.
deferred_fog_component.set_component_property_value(
AtomComponentProperties.deferred_fog('Enable Fog Layer'), False)
Report.result(Tests.enable_fog_layer_parameter_disabled,
deferred_fog_component.get_component_property_value(
AtomComponentProperties.deferred_fog('Enable Fog Layer')) is False)
# Re-enable the Enable Fog Layer parameter for game mode verification.
deferred_fog_component.set_component_property_value(
AtomComponentProperties.deferred_fog('Enable Fog Layer'), True)
general.idle_wait_frames(1)
# 11. Edit the Fog Color parameter.
violet_color_value = math.Vector3(0.498, 0.0, 1.0)
deferred_fog_component.set_component_property_value(
AtomComponentProperties.deferred_fog('Fog Color'), violet_color_value)
fog_color_value = deferred_fog_component.get_component_property_value(
AtomComponentProperties.deferred_fog('Fog Color'))
Report.result(Tests.edit_fog_color, fog_color_value.IsClose(violet_color_value))
# 12. Update the Fog Start Distance parameter to min/max values.
# Update the Fog Start Distance parameter to its minimum value.
deferred_fog_component.set_component_property_value(
AtomComponentProperties.deferred_fog('Fog Start Distance'), 0.0)
Report.result(Tests.fog_start_min,
deferred_fog_component.get_component_property_value(
AtomComponentProperties.deferred_fog('Fog Start Distance')) == 0.0)
# Update the Fog Start Distance parameter to its maximum value.
deferred_fog_component.set_component_property_value(
AtomComponentProperties.deferred_fog('Fog Start Distance'), 5000.0)
Report.result(Tests.fog_start_max,
deferred_fog_component.get_component_property_value(
AtomComponentProperties.deferred_fog('Fog Start Distance')) == 5000.0)
# 13. Update the Fog End Distance parameter to min/max values.
# Update the Fog End Distance parameter to its maximum value.
deferred_fog_component.set_component_property_value(
AtomComponentProperties.deferred_fog('Fog End Distance'), 5000.0)
Report.result(Tests.fog_end_max,
deferred_fog_component.get_component_property_value(
AtomComponentProperties.deferred_fog('Fog End Distance')) == 5000.0)
# Update the Fog End Distance parameter to its minimum value.
deferred_fog_component.set_component_property_value(
AtomComponentProperties.deferred_fog('Fog End Distance'), 0.0)
Report.result(Tests.fog_end_min,
deferred_fog_component.get_component_property_value(
AtomComponentProperties.deferred_fog('Fog End Distance')) == 0.0)
# 14. Update the Fog Bottom Height parameter to min/max values.
# Update the Fog Bottom Height parameter to its maximum value.
deferred_fog_component.set_component_property_value(
AtomComponentProperties.deferred_fog('Fog Bottom Height'), 5000.0)
Report.result(Tests.fog_bottom_height_max,
deferred_fog_component.get_component_property_value(
AtomComponentProperties.deferred_fog('Fog Bottom Height')) == 5000.0)
# Update the Fog Bottom Height parameter to its minimum value.
deferred_fog_component.set_component_property_value(
AtomComponentProperties.deferred_fog('Fog Bottom Height'), -5000.0)
Report.result(Tests.fog_bottom_height_min,
deferred_fog_component.get_component_property_value(
AtomComponentProperties.deferred_fog('Fog Bottom Height')) == -5000.0)
# 15. Update the Fog Max Height parameter to min/max values.
# Update the Fog Max Height parameter to its minimum value.
deferred_fog_component.set_component_property_value(
AtomComponentProperties.deferred_fog('Fog Max Height'), -5000.0)
Report.result(Tests.fog_max_height_min,
deferred_fog_component.get_component_property_value(
AtomComponentProperties.deferred_fog('Fog Max Height')) == -5000.0)
# Update the Fog Max Height parameter to its maximum value.
deferred_fog_component.set_component_property_value(
AtomComponentProperties.deferred_fog('Fog Max Height'), 5000.0)
Report.result(Tests.fog_max_height_max,
deferred_fog_component.get_component_property_value(
AtomComponentProperties.deferred_fog('Fog Max Height')) == 5000.0)
general.idle_wait_frames(1)
# 16. Edit the Noise Texture parameter.
# This field cannot currently be edited. It will be fixed in a future sprint.
# Store Noise Texture First/Second Scale & Velocity value:
set_octave = math.Vector2(-100.0, 100.0)
# 17. Update the Noise Texture First Octave Scale parameter to low/high values.
deferred_fog_component.set_component_property_value(
AtomComponentProperties.deferred_fog('Noise Texture First Octave Scale'), set_octave)
get_first_octave_scale = deferred_fog_component.get_component_property_value(
AtomComponentProperties.deferred_fog('Noise Texture First Octave Scale'))
Report.result(Tests.first_octave_scale, get_first_octave_scale.IsClose(set_octave))
# 18. Update the Noise Texture First Octave Velocity parameter to low/high values.
deferred_fog_component.set_component_property_value(
AtomComponentProperties.deferred_fog('Noise Texture First Octave Velocity'), set_octave)
get_first_octave_velocity = deferred_fog_component.get_component_property_value(
AtomComponentProperties.deferred_fog('Noise Texture First Octave Velocity'))
Report.result(Tests.first_octave_velocity, get_first_octave_velocity.IsClose(set_octave))
# 19. Update the Noise Texture Second Octave Scale parameter to low/high values.
deferred_fog_component.set_component_property_value(
AtomComponentProperties.deferred_fog('Noise Texture Second Octave Scale'), set_octave)
get_second_octave_scale = deferred_fog_component.get_component_property_value(
AtomComponentProperties.deferred_fog('Noise Texture Second Octave Scale'))
Report.result(Tests.second_octave_scale, get_second_octave_scale.IsClose(set_octave))
# 20. Update the Noise Texture Second Octave Velocity parameter to low/high values.
deferred_fog_component.set_component_property_value(
AtomComponentProperties.deferred_fog('Noise Texture Second Octave Velocity'), set_octave)
get_second_octave_velocity = deferred_fog_component.get_component_property_value(
AtomComponentProperties.deferred_fog('Noise Texture Second Octave Velocity'))
Report.result(Tests.second_octave_velocity, get_second_octave_velocity.IsClose(set_octave))
# 21. Update the Octaves Blend Factor parameter to min/max values.
# Update the Octaves Blend Factor to its minimum value.
deferred_fog_component.set_component_property_value(
AtomComponentProperties.deferred_fog('Octaves Blend Factor'), 0.0)
Report.result(Tests.octaves_blend_factor_min,
deferred_fog_component.get_component_property_value(
AtomComponentProperties.deferred_fog('Octaves Blend Factor')) == 0.0)
# Update the Octave Blend Factor to its maximum value.
deferred_fog_component.set_component_property_value(
AtomComponentProperties.deferred_fog('Octaves Blend Factor'), 1.0)
Report.result(Tests.octaves_blend_factor_max,
deferred_fog_component.get_component_property_value(
AtomComponentProperties.deferred_fog('Octaves Blend Factor')) == 1.0)
# 22. Enter/Exit game mode.
TestHelper.enter_game_mode(Tests.enter_game_mode)
general.idle_wait_frames(1)
TestHelper.exit_game_mode(Tests.exit_game_mode)
# 23. Test IsHidden.
deferred_fog_entity.set_visibility_state(False)
Report.result(Tests.is_hidden, deferred_fog_entity.is_hidden() is True)
# 24. Test IsVisible.
deferred_fog_entity.set_visibility_state(True)
general.idle_wait_frames(1)
Report.result(Tests.is_visible, deferred_fog_entity.is_visible() is True)
# 25. Delete Deferred Fog entity.
deferred_fog_entity.delete()
Report.result(Tests.entity_deleted, not deferred_fog_entity.exists())
# 26. UNDO deletion.
general.undo()
general.idle_wait_frames(1)
Report.result(Tests.deletion_undo, deferred_fog_entity.exists())
# 27. REDO deletion.
general.redo()
general.idle_wait_frames(1)
Report.result(Tests.deletion_redo, not deferred_fog_entity.exists())
# 28. Look for errors and asserts.
TestHelper.wait_for_condition(lambda: error_tracer.has_errors or error_tracer.has_asserts, 1.0)
for error_info in error_tracer.errors:
Report.info(f"Error: {error_info.filename} {error_info.function} | {error_info.message}")
for assert_info in error_tracer.asserts:
Report.info(f"Assert: {assert_info.filename} {assert_info.function} | {assert_info.message}")
if __name__ == "__main__":
from editor_python_test_tools.utils import Report
Report.start_test(AtomEditorComponents_DeferredFog_AddedToEntity)
| 51.441589 | 116 | 0.703774 | 2,641 | 22,017 | 5.634229 | 0.093147 | 0.127151 | 0.099462 | 0.136089 | 0.804839 | 0.716801 | 0.641196 | 0.565255 | 0.521169 | 0.480578 | 0 | 0.014071 | 0.231775 | 22,017 | 427 | 117 | 51.562061 | 0.865673 | 0.212699 | 0 | 0.210145 | 0 | 0 | 0.230774 | 0.006253 | 0 | 0 | 0 | 0 | 0.01087 | 1 | 0.003623 | false | 0 | 0.021739 | 0 | 0.155797 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
e86b6d9c3698570962ab3ef870fc56b4ef2f8095 | 2,336 | py | Python | setup.py | InsightSoftwareConsortium/ITKGenericLabelInterpolator | d804834d5af635241cb92ab0ef2197d6e4f4e50c | [
"Apache-2.0"
] | 3 | 2019-09-09T03:16:26.000Z | 2020-05-21T15:19:51.000Z | setup.py | InsightSoftwareConsortium/ITKGenericLabelInterpolator | d804834d5af635241cb92ab0ef2197d6e4f4e50c | [
"Apache-2.0"
] | 12 | 2016-10-14T15:44:48.000Z | 2020-06-17T02:33:46.000Z | setup.py | InsightSoftwareConsortium/ITKGenericLabelInterpolator | d804834d5af635241cb92ab0ef2197d6e4f4e50c | [
"Apache-2.0"
] | 5 | 2018-01-17T15:08:24.000Z | 2020-05-18T19:26:18.000Z | # -*- coding: utf-8 -*-
from __future__ import print_function
from os import sys
try:
from skbuild import setup
except ImportError:
print('scikit-build is required to build from source.', file=sys.stderr)
print('Please run:', file=sys.stderr)
print('', file=sys.stderr)
print(' python -m pip install scikit-build')
sys.exit(1)
setup(
name='itk-genericlabelinterpolator',
version='1.1.0',
author='Joël Schaerer',
author_email='joelthelion@laposte.net',
packages=['itk'],
package_dir={'itk': 'itk'},
download_url=r'https://github.com/InsightSoftwareConsortium/ITKGenericLabelInterpolator',
description=r'ITK classes for generic interpolation of label images.',
long_description='itk-genericlabelinterpolator provides a generic '
'interpolator for label images to interpolate each '
'label with an ordinary image interpolator, and return '
'the label with the highest value.\n'
'Please refer to:\n'
'Schaerer J., Roche F., Belaroussi B., '
'"A generic interpolator for multi-label images.", '
'Insight Journal, January-December 2014, http://hdl.handle.net/10380/3506.',
classifiers=[
"License :: OSI Approved :: Apache Software License",
"Programming Language :: Python",
"Programming Language :: C++",
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"Intended Audience :: Education",
"Intended Audience :: Healthcare Industry",
"Intended Audience :: Science/Research",
"Topic :: Scientific/Engineering",
"Topic :: Scientific/Engineering :: Medical Science Apps.",
"Topic :: Scientific/Engineering :: Information Analysis",
"Topic :: Software Development :: Libraries",
"Operating System :: Android",
"Operating System :: Microsoft :: Windows",
"Operating System :: POSIX",
"Operating System :: Unix",
"Operating System :: MacOS"
],
license='Apache',
keywords='ITK InsightToolkit Label-images Interpolation',
url=r'https://github.com/InsightSoftwareConsortium/ITKGenericLabelInterpolator',
install_requires=[
r'itk>=5.2rc1'
]
)
| 40.982456 | 97 | 0.627997 | 234 | 2,336 | 6.226496 | 0.58547 | 0.051476 | 0.026767 | 0.037062 | 0.096088 | 0.096088 | 0.096088 | 0 | 0 | 0 | 0 | 0.012622 | 0.253853 | 2,336 | 56 | 98 | 41.714286 | 0.823293 | 0.00899 | 0 | 0 | 0 | 0 | 0.603978 | 0.062689 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.075472 | 0 | 0.075472 | 0.09434 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
e86eac78d1bfe7828b2d429f638b50510a0cf862 | 366 | py | Python | OOP/first_steps_in_OOP_excercise/cup.py | petel3/Softuni_education | 4fd80f8c6ce6c3d6a838edecdb091dda2ed1084c | [
"MIT"
] | 2 | 2022-03-05T13:17:12.000Z | 2022-03-05T13:17:16.000Z | first_steps_in_OOP_excercise/cup.py | petel3/Softuni_education | 4fd80f8c6ce6c3d6a838edecdb091dda2ed1084c | [
"MIT"
] | null | null | null | first_steps_in_OOP_excercise/cup.py | petel3/Softuni_education | 4fd80f8c6ce6c3d6a838edecdb091dda2ed1084c | [
"MIT"
] | null | null | null | class Cup:
def __init__(self,size,quantity):
self.size = size
self.quantity = quantity
def status(self):
return self.size-self.quantity
def fill(self, quantity):
if self.quantity<=self.status():
self.quantity+=quantity
cup = Cup(100, 50)
print(cup.status())
cup.fill(40)
cup.fill(20)
print(cup.status())
| 17.428571 | 40 | 0.617486 | 49 | 366 | 4.530612 | 0.326531 | 0.27027 | 0.144144 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.032609 | 0.245902 | 366 | 20 | 41 | 18.3 | 0.771739 | 0 | 0 | 0.142857 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.214286 | false | 0 | 0 | 0.071429 | 0.357143 | 0.142857 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
e87da2084cf844776c8fc20cab98cfd12d1d9d68 | 1,454 | py | Python | apps/accounts/views.py | Chamane/django-starter-project | 11ee773c3d105826d9d9b8ee492bb57252c2e75c | [
"MIT"
] | 1 | 2019-10-20T05:11:33.000Z | 2019-10-20T05:11:33.000Z | apps/accounts/views.py | Chamane/django-skeleton | 11ee773c3d105826d9d9b8ee492bb57252c2e75c | [
"MIT"
] | 4 | 2021-06-08T20:30:10.000Z | 2022-03-12T00:02:36.000Z | apps/accounts/views.py | Chamane/django-foundation | 11ee773c3d105826d9d9b8ee492bb57252c2e75c | [
"MIT"
] | 1 | 2020-08-12T10:49:25.000Z | 2020-08-12T10:49:25.000Z | from django.shortcuts import render, redirect
from django.contrib.auth import login as auth_login, authenticate, get_user_model
from django.urls import reverse
from .forms import LoginForm, RegisterForm
def login(request):
# if request is a HTTP POST try to pull out the relevant information
if request.method == 'POST':
login_form = LoginForm(request.POST)
if login_form.is_valid():
email = login_form.cleaned_data['email']
password = login_form.cleaned_data['password']
user = authenticate(request, username=email, password=password)
#if user is not None:
#auth_login(request, user)
#if user.is_activate:
#return redirect('doctor_dashboard', user_slug=user.slug)
#else:
#return redirect(reverse('home'))
else:
login_form = LoginForm()
return render(request, 'accounts/login.html', {'login_form': login_form,})
def register(request):
if request.method == 'POST':
register_form = RegisterForm(request.POST)
if register_form.is_valid(): # TODO: add recaptcha validation
user = register_form.save()
auth_login(request, user)
return redirect(reverse('home'))
else:
register_form = RegisterForm()
return render(
request, 'accounts/register.html',
{'register_form': register_form}
)
| 33.813953 | 81 | 0.634801 | 165 | 1,454 | 5.442424 | 0.351515 | 0.070156 | 0.035635 | 0.042316 | 0.064588 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.269601 | 1,454 | 42 | 82 | 34.619048 | 0.845574 | 0.175378 | 0 | 0.148148 | 0 | 0 | 0.07479 | 0.018487 | 0 | 0 | 0 | 0.02381 | 0 | 1 | 0.074074 | false | 0.074074 | 0.148148 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
e898946db1164b75a4ff3727c9d47e0cde0c12ab | 1,969 | py | Python | oo2/modelo.py | DuduMontezuma/curso_python_poo | 2163649741d14dfa1b7fb410f131971abb3858fe | [
"MIT"
] | null | null | null | oo2/modelo.py | DuduMontezuma/curso_python_poo | 2163649741d14dfa1b7fb410f131971abb3858fe | [
"MIT"
] | null | null | null | oo2/modelo.py | DuduMontezuma/curso_python_poo | 2163649741d14dfa1b7fb410f131971abb3858fe | [
"MIT"
] | null | null | null | class Programa:
def __init__(self, nome, ano):
self._nome = nome.title()
self.ano = ano
self._likes = 0
@property
def likes(self):
return self._likes
def dar_like(self):
self._likes += 1
@property
def nome(self):
return self._nome
@nome.setter
def nome(self, novo_nome):
self._nome = novo_nome.title()
def __str__(self):
return f"{self.nome} - {self.ano} - {self.likes} Likes"
class Filme(Programa):
def __init__(self, nome, ano, duracao):
super().__init__(nome, ano)
self.duracao = duracao
def __str__(self):
return f"{self.nome} - {self.ano} - {self.duracao} min - {self.likes} Likes"
class Serie(Programa):
def __init__(self, nome, ano, temporadas):
super().__init__(nome, ano)
self.temporadas = temporadas
def __str__(self):
return f"{self.nome} - {self.ano} - {self.temporadas} temporadas - {self.likes} Likes"
class Playlist:
def __init__(self, nome, programas):
self.nome = nome
self._programas = programas
def __getitem__(self, item):
return self._programas[item]
@property
def listagem(self):
return self._programas
def __len__(self):
return len(self._programas)
vingadores = Filme("Vingadores - Guerra infinita", 2018, 160)
atlanta = Serie("Atlanta", 2018, 2)
tmep = Filme("Todo mundo em pânico", 1999, 100)
demolidor = Serie("Demolidor", 2016, 2)
vingadores.dar_like()
tmep.dar_like()
tmep.dar_like()
tmep.dar_like()
tmep.dar_like()
demolidor.dar_like()
demolidor.dar_like()
atlanta.dar_like()
atlanta.dar_like()
atlanta.dar_like()
filmes_e_series = [vingadores, atlanta, tmep]
playlist_fim_de_semana = Playlist("fim de semana", filmes_e_series)
print(f"Tamanho do Playlist: {len(playlist_fim_de_semana)}")
print(playlist_fim_de_semana[0])
for programa in playlist_fim_de_semana.listagem:
print(programa)
| 22.632184 | 94 | 0.656171 | 257 | 1,969 | 4.70428 | 0.225681 | 0.072787 | 0.053763 | 0.078577 | 0.290323 | 0.236559 | 0.172043 | 0.172043 | 0.131514 | 0.131514 | 0 | 0.017544 | 0.218385 | 1,969 | 86 | 95 | 22.895349 | 0.768031 | 0 | 0 | 0.278689 | 0 | 0.032787 | 0.159472 | 0.014728 | 0 | 0 | 0 | 0 | 0 | 1 | 0.229508 | false | 0 | 0 | 0.131148 | 0.42623 | 0.04918 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
e8bf5045e9ca64b173db4de3074c8f6695d4a027 | 898 | py | Python | reconsec.py | Corshine-Official/Eztools | 9278ef4916172505895071c4fc82ee68f4b92e18 | [
"MIT"
] | 1 | 2020-05-02T17:14:46.000Z | 2020-05-02T17:14:46.000Z | reconsec.py | Corshine-Official/Eztools | 9278ef4916172505895071c4fc82ee68f4b92e18 | [
"MIT"
] | null | null | null | reconsec.py | Corshine-Official/Eztools | 9278ef4916172505895071c4fc82ee68f4b92e18 | [
"MIT"
] | null | null | null | ##Author: CORSHINE
##################################################
## / ___/ _ \| _ \/ ___|| | | |_ _| \ | | ____|##
##| | | | | | |_) \___ \| |_| || || \| | _| ##
##| |__| |_| | _ < ___) | _ || || |\ | |___ ##
## \____\___/|_| \_\____/|_| |_|___|_| \_|_____|##
##################################################
import sys
import requests
import socket
import json
if len(sys.argv) < 2:
print("Usage: " + sys.argv[0] + "<url>")
sys.exit(1)
req = requests.get("https://"+sys.argv[1])
print("\n"+str(req.headers))
gethostby_ = socket.gethostbyname(sys.argv[1])
print("\nThe IP address of "+sys.argv[1]+" is: "+gethostby_ + "\n")
#ipinfo.io
req_two = requests.get("https://ipinfo.io/"+gethostby_+"/json")
resp_ = json.loads(req_two.text)
print("Location: "+resp_["loc"])
print("Region: "+resp_["region"])
print("City: "+resp_["city"])
print("Country: "+resp_["country"])
| 27.212121 | 67 | 0.494432 | 86 | 898 | 4.395349 | 0.476744 | 0.092593 | 0.063492 | 0.068783 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007833 | 0.146993 | 898 | 32 | 68 | 28.0625 | 0.48564 | 0.232739 | 0 | 0 | 0 | 0 | 0.219684 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.235294 | 0 | 0.235294 | 0.411765 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 1 | 0 | 2 |
e8d42944bf85008756e6f87a53f4073b97be7f98 | 244 | py | Python | leetcode/python/504_base_7.py | VVKot/leetcode-solutions | 7d6e599b223d89a7861929190be715d3b3604fa4 | [
"MIT"
] | 4 | 2019-04-22T11:57:36.000Z | 2019-10-29T09:12:56.000Z | leetcode/python/504_base_7.py | VVKot/coding-competitions | 7d6e599b223d89a7861929190be715d3b3604fa4 | [
"MIT"
] | null | null | null | leetcode/python/504_base_7.py | VVKot/coding-competitions | 7d6e599b223d89a7861929190be715d3b3604fa4 | [
"MIT"
] | null | null | null | class Solution:
def convertToBase7(self, num: int) -> str:
result = ''
n = abs(num)
while n:
n, curr = divmod(n, 7)
result = str(curr) + result
return '-' * (num < 0) + result or '0'
| 24.4 | 46 | 0.463115 | 29 | 244 | 3.896552 | 0.62069 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.027211 | 0.397541 | 244 | 9 | 47 | 27.111111 | 0.741497 | 0 | 0 | 0 | 0 | 0 | 0.008197 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0 | 0 | 0.375 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
2ce19310597369332c9e74b49bd510aea31275cc | 434 | py | Python | test/test_file.py | dawoodkhan82/Maniac-Bot-Test | 536a37f9bde5ba97bf8b7ec450ec24dae33ab6cd | [
"0BSD"
] | null | null | null | test/test_file.py | dawoodkhan82/Maniac-Bot-Test | 536a37f9bde5ba97bf8b7ec450ec24dae33ab6cd | [
"0BSD"
] | null | null | null | test/test_file.py | dawoodkhan82/Maniac-Bot-Test | 536a37f9bde5ba97bf8b7ec450ec24dae33ab6cd | [
"0BSD"
] | null | null | null | """
test:
"""
def sum_function(a, b, c):
"""
returns sum of a and b
:param a: array
:param b: integer
:return: sum of a and b
change
"""
c = a
return c
def average_function(a, b):
"""
returns the average of the squares of a and b
:param a: integer
:param b: integer
:return: average of a and b
"""
c = (a**2 + b**2) / 2
return c
def no_docs(c):
return c
| 14 | 49 | 0.525346 | 71 | 434 | 3.169014 | 0.295775 | 0.053333 | 0.106667 | 0.124444 | 0.173333 | 0.115556 | 0 | 0 | 0 | 0 | 0 | 0.010676 | 0.352535 | 434 | 30 | 50 | 14.466667 | 0.790036 | 0.467742 | 0 | 0.375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.375 | false | 0 | 0 | 0.125 | 0.75 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
2ce886f7acef4d60af3f9bc82c962bf6389e0074 | 1,590 | py | Python | python/lib/Lib/site-packages/django/views/static.py | truthiswill/intellij-community | fff88cfb0dc168eea18ecb745d3e5b93f57b0b95 | [
"Apache-2.0"
] | 2 | 2019-03-10T03:34:14.000Z | 2020-06-09T22:53:32.000Z | python/lib/Lib/site-packages/django/views/static.py | truthiswill/intellij-community | fff88cfb0dc168eea18ecb745d3e5b93f57b0b95 | [
"Apache-2.0"
] | null | null | null | python/lib/Lib/site-packages/django/views/static.py | truthiswill/intellij-community | fff88cfb0dc168eea18ecb745d3e5b93f57b0b95 | [
"Apache-2.0"
] | 1 | 2018-10-03T12:35:06.000Z | 2018-10-03T12:35:06.000Z | """
Views and functions for serving static files. These are only to be used
during development, and SHOULD NOT be used in a production setting.
"""
import mimetypes
import os
import posixpath
import re
import stat
import urllib
import warnings
from email.Utils import parsedate_tz, mktime_tz
from django.template import loader
from django.http import Http404, HttpResponse, HttpResponseRedirect, HttpResponseNotModified
from django.template import Template, Context, TemplateDoesNotExist
from django.utils.http import http_date
from django.contrib.staticfiles.views import (directory_index,
was_modified_since, serve as staticfiles_serve)
def serve(request, path, document_root=None, show_indexes=False, insecure=False):
"""
Serve static files below a given point in the directory structure.
To use, put a URL pattern such as::
(r'^(?P<path>.*)$', 'django.views.static.serve', {'document_root' : '/path/to/my/files/'})
in your URLconf. You must provide the ``document_root`` param. You may
also set ``show_indexes`` to ``True`` if you'd like to serve a basic index
of the directory. This index view will use the template hardcoded below,
but if you'd like to override it, you can create a template called
``static/directory_index.html``.
"""
warnings.warn("The view at `django.views.static.serve` is deprecated; "
"use the path `django.contrib.staticfiles.views.serve` "
"instead.", PendingDeprecationWarning)
return staticfiles_serve(request, path, document_root, show_indexes, insecure)
| 37.857143 | 98 | 0.740881 | 220 | 1,590 | 5.281818 | 0.504545 | 0.043029 | 0.030981 | 0.041308 | 0.068847 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002285 | 0.174214 | 1,590 | 41 | 99 | 38.780488 | 0.882711 | 0.415094 | 0 | 0 | 0 | 0 | 0.133106 | 0.076223 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.684211 | 0 | 0.789474 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
2ce8c5d6bfb3409043fe9182f3a832f5b173e331 | 220 | py | Python | test/util.py | pyrige/greedypacker | ca6a302af2b0275a52df91be01831c87ee428aa2 | [
"Apache-2.0"
] | 108 | 2017-11-04T02:26:44.000Z | 2021-09-19T01:27:37.000Z | test/util.py | pyrige/greedypacker | ca6a302af2b0275a52df91be01831c87ee428aa2 | [
"Apache-2.0"
] | 10 | 2018-05-31T08:08:47.000Z | 2021-06-01T22:02:19.000Z | test/util.py | pyrige/greedypacker | ca6a302af2b0275a52df91be01831c87ee428aa2 | [
"Apache-2.0"
] | 24 | 2017-12-01T04:22:09.000Z | 2021-11-02T07:37:49.000Z | import sys
import contextlib
@contextlib.contextmanager
def stdout_redirect(stringIO):
sys.stdout = stringIO
try:
yield stringIO
finally:
sys.stdout = sys.__stdout__
stringIO.seek(0)
| 18.333333 | 35 | 0.681818 | 24 | 220 | 6.041667 | 0.541667 | 0.186207 | 0.234483 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006061 | 0.25 | 220 | 11 | 36 | 20 | 0.872727 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.2 | 0 | 0.3 | 0 | 1 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
2cf099bfde81fc69bf5322d331fa296b309dfadf | 95 | py | Python | day09/test05.py | jaywoong/python | 99daedd5a9418b72b2d5c3b800080e730eb9b3ea | [
"Apache-2.0"
] | null | null | null | day09/test05.py | jaywoong/python | 99daedd5a9418b72b2d5c3b800080e730eb9b3ea | [
"Apache-2.0"
] | null | null | null | day09/test05.py | jaywoong/python | 99daedd5a9418b72b2d5c3b800080e730eb9b3ea | [
"Apache-2.0"
] | null | null | null | import wx;
app = wx.App();
frame = wx.Frame(None,0,'wxPython');
frame.Show();
app.MainLoop();
| 13.571429 | 36 | 0.642105 | 15 | 95 | 4.066667 | 0.6 | 0.163934 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011905 | 0.115789 | 95 | 6 | 37 | 15.833333 | 0.714286 | 0 | 0 | 0 | 0 | 0 | 0.084211 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
fa08e7120d71853d269a946a4c5a5a461272fdb7 | 2,466 | py | Python | syncstream/webtools.py | cainmagi/sync-stream | 8d50bd2c9f13071b057dd2583b80f63229f89b0e | [
"MIT"
] | null | null | null | syncstream/webtools.py | cainmagi/sync-stream | 8d50bd2c9f13071b057dd2583b80f63229f89b0e | [
"MIT"
] | null | null | null | syncstream/webtools.py | cainmagi/sync-stream | 8d50bd2c9f13071b057dd2583b80f63229f89b0e | [
"MIT"
] | null | null | null | #!python
# -*- coding: UTF-8 -*-
'''
################################################################
# Tools used for web connections and services.
# @ Sync-stream
# Produced by
# Yuchen Jin @ cainmagi@gmail.com,
# yjin4@uh.edu.
# Requirements: (Pay attention to version)
# python 3.6+
# fasteners 0.16+
# This module contains the basic tools for the host module,
# and would be only used by the host module.
################################################################
'''
import sys
import types
import urllib3
class StdoutWrapper:
'''A wrapper for ensuring that the stdout is always directed to the
same position.
'''
def __init__(self):
self.__stdout = sys.stdout
self.__stderr = sys.stderr
self.__stdout_ = None
self.__stderr_ = None
def __enter__(self):
self.__stdout_ = sys.stdout
self.__stderr_ = sys.stderr
sys.stdout = self.__stdout
sys.stderr = self.__stderr
return
def __exit__(self, exc_type: type, exc_value: Exception, exc_traceback: types.TracebackType) -> None:
sys.stdout = self.__stdout_
sys.stderr = self.__stderr_
class SafePoolManager(urllib3.PoolManager):
'''A wrapped urllib3.PoolManager with context supported.
This is a private class. Should not be used by users.
'''
def __enter__(self):
return self
def __exit__(self, exc_type: type, exc_value: Exception, exc_traceback: types.TracebackType) -> None:
self.clear()
class SafeRequest:
'''A wrapper for providing context for the urllib3.HTTPResponse.
This is a private class. Should not be used by users.
'''
def __init__(self, request: urllib3.HTTPResponse) -> None:
self.request = request
def __enter__(self) -> urllib3.HTTPResponse:
return self.request
def __exit__(self, exc_type: type, exc_value: Exception, exc_traceback: types.TracebackType) -> None:
self.request.release_conn()
def clean_http_manager(http: urllib3.HTTPSConnectionPool) -> None:
'''A callback for the finializer, this function would be used for cleaning the http
requests, if the connection does not need to exist.
'''
http.clear()
def close_request_session(sess: urllib3.PoolManager) -> None:
'''A callback for the finializer, this function would be used for cleaning the requests
session, if the connection does not need to exist.
'''
sess.close()
| 29.710843 | 105 | 0.643552 | 301 | 2,466 | 5.033223 | 0.352159 | 0.033003 | 0.034323 | 0.027723 | 0.444224 | 0.444224 | 0.444224 | 0.444224 | 0.350495 | 0.29505 | 0 | 0.007776 | 0.217762 | 2,466 | 82 | 106 | 30.073171 | 0.777605 | 0.428629 | 0 | 0.147059 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.294118 | false | 0 | 0.088235 | 0.058824 | 0.558824 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
fa097d090d49a098699f5d92400d2487139dd4c9 | 153 | py | Python | emgen/storage/config.py | emgenio/emgen-site | 76b958390fe9e81245e0b6af2dd7de63bf5dc857 | [
"Artistic-2.0"
] | null | null | null | emgen/storage/config.py | emgenio/emgen-site | 76b958390fe9e81245e0b6af2dd7de63bf5dc857 | [
"Artistic-2.0"
] | null | null | null | emgen/storage/config.py | emgenio/emgen-site | 76b958390fe9e81245e0b6af2dd7de63bf5dc857 | [
"Artistic-2.0"
] | null | null | null | STORAGE_DSN="mongodb://mongo/emgenstore"
STORAGE_DB="emgenstore"
TTL=14400
#db.log_events.createIndex( { "createdAt": 1 }, { expireAfterSeconds: 3600 } ) | 38.25 | 78 | 0.75817 | 18 | 153 | 6.277778 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.070922 | 0.078431 | 153 | 4 | 78 | 38.25 | 0.730496 | 0.503268 | 0 | 0 | 0 | 0 | 0.473684 | 0.342105 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
fa0d712343974ab9859f38111ecfd7a47a070be1 | 223 | py | Python | check_eda.py | rblcoder/Analyzing-open-data-edd-ca | 04dc0df7606eadd3a71317847237397b98aeabe1 | [
"Apache-2.0"
] | null | null | null | check_eda.py | rblcoder/Analyzing-open-data-edd-ca | 04dc0df7606eadd3a71317847237397b98aeabe1 | [
"Apache-2.0"
] | null | null | null | check_eda.py | rblcoder/Analyzing-open-data-edd-ca | 04dc0df7606eadd3a71317847237397b98aeabe1 | [
"Apache-2.0"
] | null | null | null | from utils import eda, eda_plotting
import ipywidgets as widgets
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
def check1():
eda_iv = eda_plotting.Eda_Plotting()
check1() | 20.272727 | 40 | 0.789238 | 36 | 223 | 4.777778 | 0.555556 | 0.19186 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010695 | 0.161435 | 223 | 11 | 41 | 20.272727 | 0.909091 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.666667 | 0 | 0.777778 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
fa13bc00e8286199880821e6c04e099ce857be14 | 347 | py | Python | examples/mnist_efficientnet/mnist_efficientnet/network.py | ar90n/kkt | e772860b20231e067973478350a4f0edb8bf5db1 | [
"Apache-2.0"
] | 1 | 2020-09-03T08:19:46.000Z | 2020-09-03T08:19:46.000Z | examples/mnist_efficientnet/mnist_efficientnet/network.py | ar90n/kkt | e772860b20231e067973478350a4f0edb8bf5db1 | [
"Apache-2.0"
] | null | null | null | examples/mnist_efficientnet/mnist_efficientnet/network.py | ar90n/kkt | e772860b20231e067973478350a4f0edb8bf5db1 | [
"Apache-2.0"
] | null | null | null | import timm
import torch
import torch.nn as nn
class Network(nn.Module):
def __init__(self):
super(Network, self).__init__()
self.net = timm.create_model("efficientnet_b0", num_classes=10)
def forward(self, x):
return self.net(x)
def extract_result(net_out):
return (torch.max(net_out.data, 1)[1]).numpy()
| 20.411765 | 71 | 0.67147 | 52 | 347 | 4.211538 | 0.576923 | 0.100457 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017986 | 0.198847 | 347 | 16 | 72 | 21.6875 | 0.769784 | 0 | 0 | 0 | 0 | 0 | 0.043228 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.272727 | false | 0 | 0.272727 | 0.181818 | 0.818182 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
fa24c06f6cb71d0d132ad5eaf12a37f9f961d403 | 3,896 | py | Python | examples/relationship/manytoonefield/views.py | zhengtong0898/django-decode | 69680853a4a5b07f6a9c4b65c7d86b2d401a92b1 | [
"MIT"
] | 5 | 2020-07-14T07:48:10.000Z | 2021-12-20T21:20:10.000Z | examples/relationship/manytoonefield/views.py | zhengtong0898/django-decode | 69680853a4a5b07f6a9c4b65c7d86b2d401a92b1 | [
"MIT"
] | 7 | 2021-03-26T03:13:38.000Z | 2022-03-12T00:42:03.000Z | examples/relationship/manytoonefield/views.py | zhengtong0898/django-decode | 69680853a4a5b07f6a9c4b65c7d86b2d401a92b1 | [
"MIT"
] | 1 | 2021-02-16T07:04:25.000Z | 2021-02-16T07:04:25.000Z | from django.shortcuts import render, HttpResponse
from .models import Reporter, Article
from datetime import date
def single_create(request):
# 测试用例-1: 创建一条维表数据和一条主表数据.
# 1. 创建维表数据.
# INSERT INTO `manytoonefield_reporter` (`first_name`, `last_name`, `email`)
# VALUES ('John', 'Smith', 'john@example.com')
# RETURNING `manytoonefield_reporter`.`id`;
r = Reporter(first_name='John', last_name='Smith', email='john@example.com')
r.save()
# 2. 创建主表数据, 同时将维表数据作为参数
# INSERT INTO `manytoonefield_article` (`headline`, `pub_date`, `reporter_id`)
# VALUES ('This is a test', '2005-07-27', 1)
# RETURNING `manytoonefield_article`.`id`;
a = Article(headline="This is a test", pub_date=date(2005, 7, 27), reporter=r)
a.save()
# 3. 正向查询.
# SELECT `manytoonefield_article`.`id`,
# `manytoonefield_article`.`headline`,
# `manytoonefield_article`.`pub_date`,
# `manytoonefield_article`.`reporter_id`
# FROM `manytoonefield_article`
# WHERE `manytoonefield_article`.`id` = 1 LIMIT 21;
af = Article.objects.get(pk=1)
# N+1 查询
# SELECT `manytoonefield_reporter`.`id`,
# `manytoonefield_reporter`.`first_name`,
# `manytoonefield_reporter`.`last_name`,
# `manytoonefield_reporter`.`email`
# FROM `manytoonefield_reporter`
# WHERE `manytoonefield_reporter`.`id` = 1 LIMIT 21;
print("af.reporter.id: ", af.reporter.id)
# 4. 反向查询.
# SELECT `manytoonefield_reporter`.`id`,
# `manytoonefield_reporter`.`first_name`,
# `manytoonefield_reporter`.`last_name`,
# `manytoonefield_reporter`.`email`
# FROM `manytoonefield_reporter`
# WHERE `manytoonefield_reporter`.`id` = 1 LIMIT 21;
r = Reporter.objects.get(pk=1)
# SELECT `manytoonefield_article`.`id`,
# `manytoonefield_article`.`headline`,
# `manytoonefield_article`.`pub_date`,
# `manytoonefield_article`.`reporter_id`
# FROM `manytoonefield_article`
# WHERE `manytoonefield_article`.`reporter_id` = 1 LIMIT 21; # TODO: 为什么 all 对应的是limit 21?
print(r.article_set.all())
return HttpResponse("view_create")
def multi_create(request):
# 测试用例-2: 创建一条维表数据和多条主表数据.
# 1. 创建维表数据.
r = Reporter.objects.create(first_name='John', last_name='Smith', email='john@example.com')
# 2. 创建30条主表数据, 同时将维表数据作为参数
for i in range(30):
Article.objects.create(headline=f"This is a test-{i}", pub_date=date(2005, 7, 27), reporter=r)
# 3. 正向查询
af = Article.objects.get(pk=1) # Article 是 Many; Reporter 是 One;
print("af.reporter.id: ", af.reporter.id) # 触发N+1;
# 4. 反向查询
# SELECT `manytoonefield_reporter`.`id`,
# `manytoonefield_reporter`.`first_name`,
# `manytoonefield_reporter`.`last_name`,
# `manytoonefield_reporter`.`email`
# FROM `manytoonefield_reporter`
# WHERE `manytoonefield_reporter`.`id` = 1 LIMIT 21;
r = Reporter.objects.get(pk=1)
# SELECT `manytoonefield_article`.`id`,
# `manytoonefield_article`.`headline`,
# `manytoonefield_article`.`pub_date`,
# `manytoonefield_article`.`reporter_id`
# FROM `manytoonefield_article`
# WHERE `manytoonefield_article`.`reporter_id` = 1 LIMIT 21
articles = r.article_set.all()
print("articles: ", articles)
# SELECT `manytoonefield_article`.`id`,
# `manytoonefield_article`.`headline`,
# `manytoonefield_article`.`pub_date`,
# `manytoonefield_article`.`reporter_id`
# FROM `manytoonefield_article`
# WHERE `manytoonefield_article`.`reporter_id` = 1;
for article in articles:
print("article.id: ", article.id)
return HttpResponse("view_query")
| 42.813187 | 118 | 0.630903 | 416 | 3,896 | 5.71875 | 0.204327 | 0.229508 | 0.070618 | 0.091215 | 0.656578 | 0.656578 | 0.638083 | 0.613703 | 0.591005 | 0.591005 | 0 | 0.021398 | 0.23229 | 3,896 | 90 | 119 | 43.288889 | 0.773989 | 0.611653 | 0 | 0.24 | 0 | 0 | 0.108276 | 0 | 0 | 0 | 0 | 0.011111 | 0 | 1 | 0.08 | false | 0 | 0.12 | 0 | 0.28 | 0.2 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
fa3f5463140c204c3bff9a9b399127aa2571317e | 604 | py | Python | corehq/motech/repeaters/migrations/0004_attempt_strings.py | akashkj/commcare-hq | b00a62336ec26cea1477dfb8c048c548cc462831 | [
"BSD-3-Clause"
] | 471 | 2015-01-10T02:55:01.000Z | 2022-03-29T18:07:18.000Z | corehq/motech/repeaters/migrations/0004_attempt_strings.py | akashkj/commcare-hq | b00a62336ec26cea1477dfb8c048c548cc462831 | [
"BSD-3-Clause"
] | 14,354 | 2015-01-01T07:38:23.000Z | 2022-03-31T20:55:14.000Z | corehq/motech/repeaters/migrations/0004_attempt_strings.py | akashkj/commcare-hq | b00a62336ec26cea1477dfb8c048c548cc462831 | [
"BSD-3-Clause"
] | 175 | 2015-01-06T07:16:47.000Z | 2022-03-29T13:27:01.000Z | # Generated by Django 2.2.19 on 2021-04-10 14:10
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('repeaters', '0003_migrate_connectionsettings'),
]
operations = [
migrations.AlterField(
model_name='sqlrepeatrecordattempt',
name='message',
field=models.TextField(blank=True, default=''),
),
migrations.AlterField(
model_name='sqlrepeatrecordattempt',
name='traceback',
field=models.TextField(blank=True, default=''),
),
]
| 25.166667 | 59 | 0.602649 | 54 | 604 | 6.666667 | 0.62963 | 0.111111 | 0.138889 | 0.161111 | 0.505556 | 0.505556 | 0 | 0 | 0 | 0 | 0 | 0.046083 | 0.281457 | 604 | 23 | 60 | 26.26087 | 0.78341 | 0.076159 | 0 | 0.470588 | 1 | 0 | 0.179856 | 0.134892 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.058824 | 0 | 0.235294 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
fa3facbe147c10169ce12c2ef4fdeb7436c59421 | 601 | py | Python | errorScreen.py | Heliodex/HybridOS | 27024daa336159d6a300b3463e8a0cbd98dee93e | [
"Unlicense"
] | 2 | 2021-03-19T02:39:18.000Z | 2021-07-31T18:05:28.000Z | errorScreen.py | HelioDex/HybridOS | 4cf2fba325f18a86b7b0e744dbf5cf2cf7271d61 | [
"Unlicense"
] | null | null | null | errorScreen.py | HelioDex/HybridOS | 4cf2fba325f18a86b7b0e744dbf5cf2cf7271d61 | [
"Unlicense"
] | null | null | null | def error():
from colorama import Fore
from os import system
system("clear")
print(Fore.BLUE + """
A problem has occured and HybridOS needs to shut down.
We will shut down and display the error when you press enter.
We're sorry if we caused any inconvenience.
== TEST BEGIN == {
T0cgPSBUcnVlCk1PRCA9IElORE
VWCkVOQyA9IExld2luCkVESVQg
PSBUcnVlCgpWR2hwY3lCcGN5Q
mhiaUJ2Y21sCm5hVzVoYkNCMlp
YSnphVzl1SQpHOW1JRWg1WW5
KcFpFOVRMaUJKCmRDQm9ZWE
1nWVNCa2FYTjBjCm04Z2JHbGpa
VzV6WlM0PQo=
} == TEST END ==
You weren't expected or supposed to understand that.
""")
input()
raise | 16.243243 | 62 | 0.758735 | 68 | 601 | 6.705882 | 0.808824 | 0.035088 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.04878 | 0.181364 | 601 | 37 | 63 | 16.243243 | 0.878049 | 0 | 0 | 0 | 0 | 0 | 0.800664 | 0.292359 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | true | 0 | 0.090909 | 0 | 0.136364 | 0.045455 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
fa4de4dcfaefaff226e9de2f8d35f31a08f4c8e9 | 66,216 | py | Python | analyze/check_analyze.py | JunboLu/CP2K_kit | 0950f37f253c3f90d6a0539c57f1be1045e7317d | [
"Apache-2.0"
] | 16 | 2021-04-19T03:40:32.000Z | 2022-02-21T12:53:33.000Z | analyze/check_analyze.py | JunboLu/CP2K_kit | 0950f37f253c3f90d6a0539c57f1be1045e7317d | [
"Apache-2.0"
] | null | null | null | analyze/check_analyze.py | JunboLu/CP2K_kit | 0950f37f253c3f90d6a0539c57f1be1045e7317d | [
"Apache-2.0"
] | 2 | 2021-11-28T02:55:31.000Z | 2022-02-21T12:54:52.000Z | #! /use/env/bin python
import os
import copy
from collections import OrderedDict
from CP2K_kit.tools import data_op
from CP2K_kit.tools import log_info
from CP2K_kit.tools import traj_info
def check_step(init_step, end_step, start_frame_id, end_frame_id):
'''
check_step: check the input step
Args:
init_step : int
init_step is the initial frame id.
end_step : int
end_step is the endding frame id.
start_frame_id: int
start_frame_id is the starting frame id in the trajectory file.
end_frame_id: int
end_frame_id is the endding frame id in the trajectory file.
Returns :
none
'''
if ( init_step > end_step ):
log_info.log_error('Input error: the endding step is less than initial step, please check or reset init_step and end_step')
exit()
if ( init_step < start_frame_id ):
log_info.log_error('Input error: the initial step is less than initial step in trajectory, please check or reset init_step')
exit()
if ( end_step > end_frame_id ):
log_info.log_error('Input error: the endding step is large than endding step in trajectory, please check or reset end_step')
exit()
def check_center_inp(center_dic):
'''
check_center_inp: check the input file of center.
Args:
center_dic: dictionary
center_dic contains the parameter for center.
Returns:
new_center_dic: dictionary
new_center_dic is the revised center_dic
'''
#As we use pop, so we copy the dic.
new_center_dic = copy.deepcopy(center_dic)
if ( 'center_type' in new_center_dic.keys() ):
center_type = new_center_dic['center_type']
if ( center_type == 'center_box' or center_type == 'center_image' ):
pass
else:
log_info.log_error('Input error: only center_box and center_image are supported, please check or set analyze/center/type ')
exit()
else:
log_info.log_error('Input error: no center type, please set analyze/center/type')
exit()
if ( new_center_dic['center_type'] == 'center_image' ):
if ( 'center_atom_id' in new_center_dic.keys() ):
center_id = new_center_dic['center_atom_id']
if ( data_op.eval_str(center_id) == 1 ):
new_center_dic['center_atom_id'] = int(center_id)
else:
log_info.log_error('Input error: center atom id should be integer, please check or set analyze/center/center_id')
exit()
else:
log_info.log_error('Input error: no center atom id for center_image, please set analyze/center/center_id')
exit()
if ( 'traj_coord_file' in new_center_dic.keys() ):
traj_coord_file = new_center_dic['traj_coord_file']
if ( os.path.exists(os.path.abspath(traj_coord_file)) ):
new_center_dic['traj_coord_file'] = os.path.abspath(traj_coord_file)
else:
log_info.log_error('%s file does not exist' %(traj_coord_file))
exit()
else:
log_info.log_error('Input error: no coordination trajectory file, please set analyze/center/traj_coord_file')
exit()
if ( 'box' in new_center_dic.keys() ):
A_exist = 'A' in new_center_dic['box'].keys()
B_exist = 'B' in new_center_dic['box'].keys()
C_exist = 'C' in new_center_dic['box'].keys()
else:
log_info.log_error('Input error: no box, please set analyze/center/box')
exit()
if ( A_exist and B_exist and C_exist ):
box_A = new_center_dic['box']['A']
box_B = new_center_dic['box']['B']
box_C = new_center_dic['box']['C']
else:
log_info.log_error('Input error: box setting error, please check analyze/center/box')
exit()
if ( len(box_A) == 3 and all(data_op.eval_str(i) == 1 or data_op.eval_str(i) == 2 for i in box_A) ):
new_center_dic['box']['A'] = [float(x) for x in box_A]
else:
log_info.log_error('Input error: A vector of box wrong, please check analyze/center/box/A')
exit()
if ( len(box_B) == 3 and all(data_op.eval_str(i) == 1 or data_op.eval_str(i) == 2 for i in box_B) ):
new_center_dic['box']['B'] = [float(x) for x in box_B]
else:
log_info.log_error('Input error: B vector of box wrong, please check analyze/center/box/B')
exit()
if ( len(box_C) == 3 and all(data_op.eval_str(i) == 1 or data_op.eval_str(i) == 2 for i in box_C) ):
new_center_dic['box']['C'] = [float(x) for x in box_C]
else:
log_info.log_error('Input error: C vector of box wrong, please check analyze/center/box/C')
exit()
if ( 'connect0' in new_center_dic.keys() ):
group_atom = []
atom_id = []
group_num = 0
for i in new_center_dic['connect0'].keys():
if ( 'group' in i ):
group_num = group_num+1
if ( 'atom_id' in new_center_dic['connect0'][i].keys() ):
atom_id_i = data_op.get_id_list(new_center_dic['connect0'][i]['atom_id'])
atom_id.append(atom_id_i)
else:
log_info.log_error('Input error: no atom id, please set analyze/center/connect/group/atom_id')
exit()
if ( 'group_atom' in new_center_dic['connect0'][i].keys() ):
group_atom_i = new_center_dic['connect0'][i]['group_atom']
if ( isinstance(group_atom_i, list)):
if ( all(data_op.eval_str(x) == 0 for x in group_atom_i) ):
group_atom.append(group_atom_i)
else:
log_info.log_error('Input error: group atoms wrong, please check or reset analyze/center/connect/group/group_atom')
exit()
else:
group_atom.append([group_atom_i])
else:
log_info.log_error('Input error: no group atoms, please set analyze/center/connect/group/group_atom')
exit()
for i in center_dic['connect0'].keys():
new_center_dic['connect0'].pop(i)
new_center_dic['connect0']['atom_id'] = atom_id
new_center_dic['connect0']['group_atom'] = group_atom
return new_center_dic
def check_diffusion_inp(diffusion_dic):
'''
check_diffusion_inp: check the input of diffusion.
Args:
diffusion_dic: dictionary
diffusion_dic contains parameters for diffusion
Returns:
diffusion_dic: dictionary
diffusion_dic is the revised diffusion_dic
'''
#new_diffusion_dic = copy.deepcopy(diffusion_dic)
if ( 'method' in diffusion_dic.keys() ):
method = diffusion_dic['method']
if ( method == 'einstein_sum' or method == 'green_kubo' ):
pass
else:
log_info.log_error('Input error: only einstein_sum or green_kubo are supported for diffusion calculation')
exit()
else:
diffusion_dic['method'] = 'einstein_sum'
method = diffusion_dic['method']
if ( method == 'einstein_sum' ):
if ( 'traj_coord_file' in diffusion_dic.keys() ):
traj_coord_file = diffusion_dic['traj_coord_file']
if ( os.path.exists(os.path.abspath(traj_coord_file)) ):
diffusion_dic['traj_coord_file'] = os.path.abspath(traj_coord_file)
atoms_num, pre_base_block, end_base_block, pre_base, frames_num, each, start_frame_id, end_frame_id, time_step = \
traj_info.get_traj_info(traj_coord_file, 'coord_xyz')
else:
log_info.log_error('Input error: %s file does not exist' %(traj_coord_file))
exit()
else:
log_info.log_error('Input error: no coordination trajectory file, please set analyze/diffusion/traj_coord_file')
exit()
if ( 'remove_com' in diffusion_dic.keys() ):
remove_com = data_op.str_to_bool(diffusion_dic['remove_com'])
if ( isinstance(remove_com, bool) ):
diffusion_dic['remove_com'] = remove_com
else:
log_info.log_error('Input error: remove_com must be bool, please check or reset analyze/diffusion/remove_com')
else:
diffusion_dic['remove_com'] = True
elif ( method == 'green_kubo' ):
if ( 'traj_vel_file' in diffusion_dic.keys() ):
traj_vel_file = diffusion_dic['traj_vel_file']
if ( os.path.exists(os.path.abspath(traj_vel_file)) ):
diffusion_dic['traj_vel_file'] = os.path.abspath(traj_vel_file)
atoms_num, pre_base_block, end_base_block, pre_base, frames_num, each, start_frame_id, end_frame_id, time_step = \
traj_info.get_traj_info(traj_vel_file, 'vel')
else:
log_info.log_error('Input error: %s file does not exist' %(traj_vel_file))
exit()
else:
log_info.log_error('Input error: no velocity trajectory file, please set analyze/diffusion/traj_vel_file')
exit()
if ( 'atom_id' in diffusion_dic.keys() ):
atom_id = data_op.get_id_list(diffusion_dic['atom_id'])
diffusion_dic['atom_id'] = atom_id
else:
log_info.log_error('Input error: no atom_id, please set analyze/diffusion/atom_id')
exit()
if ( 'init_step' in diffusion_dic.keys() ):
init_step = diffusion_dic['init_step']
if ( data_op.eval_str(init_step) == 1 ):
diffusion_dic['init_step'] = int(init_step)
else:
log_info.log_error('Input error: init_step wrong, please check or set analyze/diffusion/init_step')
exit()
else:
diffusion_dic['init_step'] = start_frame_id
if ( 'end_step' in diffusion_dic.keys() ):
end_step = diffusion_dic['end_step']
if ( data_op.eval_str(end_step) == 1 ):
diffusion_dic['end_step'] = int(end_step)
else:
log_info.log_error('Input error: end_step wrong, please check or set analyze/diffusion/end_step')
exit()
else:
diffusion_dic['end_step'] = end_frame_id
init_step = diffusion_dic['init_step']
end_step = diffusion_dic['end_step']
check_step(init_step, end_step, start_frame_id, end_frame_id)
if ( 'max_frame_corr' in diffusion_dic.keys() ):
max_frame_corr = diffusion_dic['max_frame_corr']
if ( data_op.eval_str(max_frame_corr) == 1 ):
if ( int(max_frame_corr) > int(frames_num/2) ):
log_info.log_error('Input error: max_frame_corr should be less than frames_num/2, please check or reset analyze/diffusion/max_frame_corr')
exit()
else:
diffusion_dic['max_frame_corr'] = int(max_frame_corr)
else:
log_info.log_error('Input error: max_frame_corr should be integer, please check or set analyze/diffusion/max_frame_corr')
exit()
else:
diffusion_dic['max_frame_corr'] = int(frames_num/2)
return diffusion_dic
def check_file_trans_inp(file_trans_dic):
'''
check_file_trans_inp: check the input of file_trans.
Args:
file_trans_dic: dictionary
file_trans_dic contains parameters for file_trans.
Returns:
file_trans_dic: dictionary
file_trans_dic is the revised file_trans_dic
'''
if ( 'transd_file' in file_trans_dic.keys() ):
transd_file = file_trans_dic['transd_file']
if ( os.path.exists(os.path.abspath(transd_file)) ):
file_trans_dic['transd_file'] = os.path.abspath(transd_file)
else:
log_info.log_error('Input error: %s does not exist' %(transd_file))
exit()
else:
log_info.log_error('Input error: no transfered file, please set analzye/file_trans/transd_file')
exit()
if ( 'trans_type' in file_trans_dic.keys() ):
trans_type = file_trans_dic['trans_type']
if ( trans_type == 'pdb2xyz' or trans_type == 'xyz2pdb' ):
pass
else:
log_info.log_error('Input error: only pbd2xyz and xyz2pdb are supported, please check or reset analyze/file_trans/trans_type')
exit()
else:
log_info.log_error('Input error: no transfer type, please set analyze/file_trans/trans_type')
exit()
return file_trans_dic
def check_geometry_inp(geometry_dic):
'''
check_geometry_inp: check the input of geometry.
Args:
geometry_dic: dictionary
geometry_dic contains parameters for geometry.
Returns:
geometry_dic: dictionary
geometry_dic is the revised geometry_dic
'''
if ( 'coord_num' in geometry_dic ):
coord_num_dic = geometry_dic['coord_num']
if ( 'traj_coord_file' in coord_num_dic.keys() ):
traj_coord_file = coord_num_dic['traj_coord_file']
if ( os.path.exists(os.path.abspath(traj_coord_file)) ):
geometry_dic['coord_num']['traj_coord_file'] = os.path.abspath(traj_coord_file)
atoms_num, pre_base_block, end_base_block, pre_base, frames_num, each, start_frame_id, end_frame_id, time_step = \
traj_info.get_traj_info(os.path.abspath(traj_coord_file), 'coord_xyz')
else:
log_info.log_error('Input error: %s does not exist' %(traj_coord_file))
exit()
else:
log_info.log_error('Input error: no coordination trajectory file, please set analyze/geometry/coord_num/traj_coord_file')
exit()
if ( 'init_step' in coord_num_dic.keys() ):
init_step = coord_num_dic['init_step']
if ( data_op.eval_str(init_step) == 1 ):
geometry_dic['coord_num']['init_step'] = int(init_step)
else:
log_info.log_error('Input error: init_step should be integer, please check or reset analyze/geometry/coord_num/init_step')
exit()
else:
geometry_dic['coord_num']['init_step'] = start_frame_id
if ( 'end_step' in coord_num_dic.keys() ):
end_step = coord_num_dic['end_step']
if ( data_op.eval_str(end_step) == 1 ):
geometry_dic['coord_num']['end_step'] = int(end_step)
else:
log_info.log_error('Input error: end_step should be integer, please check or reset analyze/geometry/coord_num/end_step')
exit()
else:
geometry_dic['coord_num']['end_step'] = end_frame_id
init_step = geometry_dic['coord_num']['init_step']
end_step = geometry_dic['coord_num']['end_step']
check_step(init_step, end_step, start_frame_id, end_frame_id)
if ( 'r_cut' in coord_num_dic.keys() ):
r_cut = coord_num_dic['r_cut']
if ( data_op.eval_str(r_cut) == 1 or data_op.eval_str(r_cut) ==2 ):
geometry_dic['coord_num']['r_cut'] = float(r_cut)
else:
log_info.log_error('Input error: r_cut must be float, please check or reset analyze/geometry/coord_num/r_cut')
else:
geometry_dic['coord_num']['r_cut'] = 6.0
if ( 'box' in coord_num_dic.keys() ):
A_exist = 'A' in coord_num_dic['box'].keys()
B_exist = 'B' in coord_num_dic['box'].keys()
C_exist = 'C' in coord_num_dic['box'].keys()
else:
log_info.log_error('Input error: no box, please set analyze/geometry/coord_num/box')
exit()
if ( A_exist and B_exist and C_exist ):
box_A = coord_num_dic['box']['A']
box_B = coord_num_dic['box']['B']
box_C = coord_num_dic['box']['C']
else:
log_info.log_error('Input error: box setting error, please check analyze/geometry/coord_num/box')
exit()
if ( len(box_A) == 3 and all(data_op.eval_str(i) == 1 or data_op.eval_str(i) == 2 for i in box_A) ):
geometry_dic['coord_num']['box']['A'] = [float(x) for x in box_A]
else:
log_info.log_error('Input error: A vector of box wrong, please check analyze/geometry/coord_num//box/A')
exit()
if ( len(box_B) == 3 and all(data_op.eval_str(i) == 1 or data_op.eval_str(i) == 2 for i in box_B) ):
geometry_dic['coord_num']['box']['B'] = [float(x) for x in box_B]
else:
log_info.log_error('Input error: B vector of box wrong, please check analyze/geometry/coord_num/box/B')
exit()
if ( len(box_C) == 3 and all(data_op.eval_str(i) == 1 or data_op.eval_str(i) == 2 for i in box_C) ):
geometry_dic['coord_num']['box']['C'] = [float(x) for x in box_C]
else:
log_info.log_error('Input error: C vector of box wrong, please check analyze/geometry/coord_num/box/C')
exit()
return geometry_dic
elif ( 'bond_length' in geometry_dic ):
bond_length_dic = geometry_dic['bond_length']
if ( 'traj_coord_file' in bond_length_dic.keys() ):
traj_coord_file = bond_length_dic['traj_coord_file']
if ( os.path.exists(os.path.abspath(traj_coord_file)) ):
geometry_dic['bond_length']['traj_coord_file'] = os.path.abspath(traj_coord_file)
atoms_num, pre_base_block, end_base_block, pre_base, frames_num, each, start_frame_id, end_frame_id, time_step = \
traj_info.get_traj_info(os.path.abspath(traj_coord_file), 'coord_xyz')
else:
log_info.log_error('Input error: %s file does not exist' %(traj_coord_file))
exit()
else:
log_info.log_error('Input error: no coordination trajectory file, please set analyze/geometry/bond_length/traj_coord_file')
exit()
if ( 'atom_pair' in bond_length_dic.keys() ):
atom_pair = bond_length_dic['atom_pair']
if ( len(atom_pair) == 2 and all(data_op.eval_str(x) == 1 for x in atom_pair) ):
geometry_dic['bond_length']['atom_pair'] = [int (x) for x in atom_pair]
else:
log_info.log_error('Input error: atom_pair should be 2 integer, please check or reset analyze/geometry/bond_length/atom_pair')
exit()
else:
log_info.log_error('Input error: no atom_pair, please set analyze/geometry/bond_length/atom_pair')
exit()
if ( 'init_step' in bond_length_dic.keys() ):
init_step = bond_length_dic['init_step']
if ( data_op.eval_str(init_step) == 1 ):
geometry_dic['bond_length']['init_step'] = int(init_step)
else:
log_info.log_error('Input error: init_step should be integer, please check or reset analyze/geometry/bond_length/init_step')
exit()
else:
geometry_dic['bond_length']['init_step'] = start_frame_id
if ( 'end_step' in bond_length_dic.keys() ):
end_step = bond_length_dic['end_step']
if ( data_op.eval_str(end_step) == 1 ):
geometry_dic['bond_length']['end_step'] = int(end_step)
else:
log_info.log_error('Input error: end_step should be integer, please check or reset analyze/geometry/bond_length/end_step')
exit()
else:
geometry_dic['bond_length']['end_step'] = end_frame_id
init_step = geometry_dic['bond_length']['init_step']
end_step = geometry_dic['bond_length']['end_step']
check_step(init_step, end_step, start_frame_id, end_frame_id)
if ( 'box' in bond_length_dic.keys() ):
A_exist = 'A' in bond_length_dic['box'].keys()
B_exist = 'B' in bond_length_dic['box'].keys()
C_exist = 'C' in bond_length_dic['box'].keys()
else:
log_info.log_error('Input error: no box, please set analyze/geometry/bond_length/box')
exit()
if ( A_exist and B_exist and C_exist ):
box_A = bond_length_dic['box']['A']
box_B = bond_length_dic['box']['B']
box_C = bond_length_dic['box']['C']
else:
log_info.log_error('Input error: box setting error, please check analyze/geometry/bond_length/box')
exit()
if ( len(box_A) == 3 and all(data_op.eval_str(i) == 1 or data_op.eval_str(i) == 2 for i in box_A) ):
geometry_dic['bond_length']['box']['A'] = [float(x) for x in box_A]
else:
log_info.log_error('Input error: A vector of box wrong, please check analyze/geometry/bond_length//box/A')
exit()
if ( len(box_B) == 3 and all(data_op.eval_str(i) == 1 or data_op.eval_str(i) == 2 for i in box_B) ):
geometry_dic['bond_length']['box']['B'] = [float(x) for x in box_B]
else:
log_info.log_error('Input error: B vector of box wrong, please check analyze/geometry/bond_length/box/B')
exit()
if ( len(box_C) == 3 and all(data_op.eval_str(i) == 1 or data_op.eval_str(i) == 2 for i in box_C) ):
geometry_dic['bond_length']['box']['C'] = [float(x) for x in box_C]
else:
log_info.log_error('Input error: C vector of box wrong, please check analyze/geometry/bond_length/box/C')
exit()
return geometry_dic
elif ( 'bond_angle' in geometry_dic ):
bond_angle_dic = geometry_dic['bond_angle']
if ( 'traj_coord_file' in bond_angle_dic.keys() ):
traj_coord_file = bond_angle_dic['traj_coord_file']
if ( os.path.exists(os.path.abspath(traj_coord_file)) ):
geometry_dic['bond_angle']['traj_coord_file'] = os.path.abspath(traj_coord_file)
atoms_num, pre_base_block, end_base_block, pre_base, frames_num, each, start_frame_id, end_frame_id, time_step = \
traj_info.get_traj_info(traj_coord_file, 'coord_xyz')
else:
log_info.log_error('Input error: %s does not exist' %(traj_coord_file))
else:
log_info.log_error('Input error: no coordination trajectory file, please set analyze/geometry/bond_angle/traj_coord_file')
exit()
if ( 'atom_pair' in bond_angle_dic.keys() ):
atom_pair = bond_angle_dic['atom_pair']
if ( len(atom_pair) == 3 and all(data_op.eval_str(x) == 1 for x in atom_pair) ):
geometry_dic['bond_angle']['atom_pair'] = [int(x) for x in atom_pair]
else:
log_info.log_error('Input error: atom_pair should be 3 integers, please check or reset analyze/geometry/bond_angle/atom_pair')
exit()
else:
log_info.log_error('Input error: no atom_pair, please set analyze/geometry/bond_angle/atom_pair')
exit()
if ( 'init_step' in bond_angle_dic.keys() ):
init_step = bond_angle_dic['init_step']
if ( data_op.eval_str(init_step) == 1 ):
geometry_dic['bond_angle']['init_step'] = int(init_step)
else:
log_info.log_error('Input error: init_step shoule be integer, please check or reset analyze/geometry/bond_angle/init_step')
exit()
else:
geometry_dic['bond_angle']['init_step'] = start_frame_id
if ( 'end_step' in bond_angle_dic.keys() ):
end_step = bond_angle_dic['end_step']
if ( data_op.eval_str(end_step) == 1 ):
geometry_dic['bond_angle']['end_step'] = int(end_step)
else:
log_info.log_error('Input error: end_step shoule be integer, please check or reset analyze/geometry/bond_angle/end_step')
exit()
else:
geometry_dic['bond_angle']['end_step'] = end_frame_id
init_step = geometry_dic['bond_angle']['init_step']
end_step = geometry_dic['bond_angle']['end_step']
check_step(init_step, end_step, start_frame_id, end_frame_id)
return geometry_dic
elif ( 'first_shell' in geometry_dic ):
first_shell_dic = geometry_dic['first_shell']
if ( 'traj_coord_file' in first_shell_dic.keys() ):
traj_coord_file = first_shell_dic['traj_coord_file']
if ( os.path.exists(os.path.abspath(traj_coord_file)) ):
geometry_dic['first_shell']['traj_coord_file'] = os.path.abspath(traj_coord_file)
atoms_num, pre_base_block, end_base_block, pre_base, frames_num, each, start_frame_id, end_frame_id, time_step = \
traj_info.get_traj_info(os.path.abspath(traj_coord_file), 'coord_xyz')
else:
log_info.log_error('Input error: %s does not exist' %(traj_coord_file))
exit()
if ( 'atom_type_pair' in first_shell_dic.keys() ):
atom_type_pair = first_shell_dic['atom_type_pair']
if ( len(atom_type_pair) == 2 and all(data_op.eval_str(x) == 0 for x in atom_type_pair) ):
pass
else:
log_info.log_error('Input error: atom_type_pair should be 2 string, please check or reset analyze/geometry/first_shell/atom_type_pair')
exit()
else:
log_info.log_error('Input error: no atom_type_pair, please set analyze/geometry/first_shell/atom_type_pair')
exit()
if ( 'first_shell_dist' in first_shell_dic.keys() ):
first_shell_dist = first_shell_dic['first_shell_dist']
if ( data_op.eval_str(first_shell_dist) == 2 ):
geometry_dic['first_shell']['first_shell_dist'] = float(first_shell_dist)
else:
log_info.log_error('Input error: first_shell_dist should be float, please check or reset analyze/geometry/first_shell/first_shell_dist')
exit()
else:
log_info.log_error('Input error: no first_shell_dist, please set analyze/geometry/first_shell/first_shell_dist')
exit()
if ( 'dist_conv' in first_shell_dic.keys() ):
dist_conv = first_shell_dic['dist_conv']
if ( data_op.eval_str(dist_conv) == 2 ):
geometry_dic['first_shell']['dist_conv'] = float(dist_conv)
else:
log_info.log_error('Input error: dist_conv should be float, please check or reset analyze/geometry/first_shell/dist_conv')
exit()
else:
geometry_dic['first_shell']['dist_conv'] = 0.1
if ( 'init_step' in first_shell_dic.keys() ):
init_step = first_shell_dic['init_step']
if ( data_op.eval_str(init_step) == 1 ):
geometry_dic['first_shell']['init_step'] = int(init_step)
else:
log_info.log_error('Input error: init_step should be integer, please check or reset analyze/geometry/first_shell/init_step')
else:
geometry_dic['first_shell']['init_step'] = start_frame_id
if ( 'end_step' in first_shell_dic.keys() ):
end_step = first_shell_dic['end_step']
if ( data_op.eval_str(end_step) == 1 ):
geometry_dic['first_shell']['end_step'] = int(end_step)
else:
log_info.log_error('Input error: end_step should be integer, please check or reset analyze/geometry/first_shell/end_step')
else:
geometry_dic['first_shell']['end_step'] = end_frame_id
init_step = geometry_dic['first_shell']['init_step']
end_step = geometry_dic['first_shell']['end_step']
check_step(init_step, end_step, start_frame_id, end_frame_id)
if ( 'box' in first_shell_dic.keys() ):
A_exist = 'A' in first_shell_dic['box'].keys()
B_exist = 'B' in first_shell_dic['box'].keys()
C_exist = 'C' in first_shell_dic['box'].keys()
else:
log_info.log_error('Input error: no box, please set analyze/geometry/first_shell/box')
exit()
if ( A_exist and B_exist and C_exist ):
box_A = first_shell_dic['box']['A']
box_B = first_shell_dic['box']['B']
box_C = first_shell_dic['box']['C']
else:
log_info.log_error('Input error: box setting error, please check analyze/geometry/first_shell/box')
exit()
if ( len(box_A) == 3 and all(data_op.eval_str(i) == 1 or data_op.eval_str(i) == 2 for i in box_A) ):
geometry_dic['first_shell']['box']['A'] = [float(x) for x in box_A]
else:
log_info.log_error('Input error: A vector of box wrong, please check analyze/geometry/first_shell//box/A')
exit()
if ( len(box_B) == 3 and all(data_op.eval_str(i) == 1 or data_op.eval_str(i) == 2 for i in box_B) ):
geometry_dic['first_shell']['box']['B'] = [float(x) for x in box_B]
else:
log_info.log_error('Input error: B vector of box wrong, please check analyze/geometry/first_shell/box/B')
exit()
if ( len(box_C) == 3 and all(data_op.eval_str(i) == 1 or data_op.eval_str(i) == 2 for i in box_C) ):
geometry_dic['first_shell']['box']['C'] = [float(x) for x in box_C]
else:
log_info.log_error('Input error: C vector of box wrong, please check analyze/geometry/first_shell/box/C')
exit()
return geometry_dic
elif ( 'choose_structure' in geometry_dic ):
choose_str_dic = geometry_dic['choose_structure']
if ( 'file_type' in choose_str_dic.keys() ):
file_type = choose_str_dic['file_type']
valid_file_type = ['coord_xyz', 'vel', 'frc']
if ( file_type in valid_file_type ):
pass
else:
log_info.log_error('Input error: only coord, vel, and frc are supported for file_type,\
please check or reset analyze/geometry/choose_structure/file_type')
exit()
else:
log_info.log_error('Input error: no file type, please set analyze/geometry/choose_structure/file_type')
exit()
file_type = choose_str_dic['file_type']
if ( 'traj_file' in choose_str_dic.keys() ):
traj_file = choose_str_dic['traj_file']
if ( os.path.exists(os.path.abspath(traj_file)) ):
geometry_dic['choose_structure']['traj_file'] = os.path.abspath(traj_file)
atoms_num, pre_base_block, end_base_block, pre_base, frames_num, each, start_frame_id, end_frame_id, time_step = \
traj_info.get_traj_info(traj_file, 'coord_xyz')
else:
log_info.log_error('Input error: %s file does not exist' %(traj_file))
exit()
else:
log_info.log_error('Input error: no trajectory file, please set analyze/geometry/choose_structure/traj_file')
exit()
if ( 'init_step' in choose_str_dic.keys() ):
init_step = choose_str_dic['init_step']
if ( data_op.eval_str(init_step) == 1 ):
geometry_dic['choose_structure']['init_step'] = int(init_step)
else:
log_info.log_error('Input error: init_step should be integer, please check or reset analyze/geometry/choose_structure/init_step')
else:
geometry_dic['choose_structure']['init_step'] = start_frame_id
if ( 'end_step' in choose_str_dic.keys() ):
end_step = choose_str_dic['end_step']
if ( data_op.eval_str(end_step) == 1 ):
geometry_dic['choose_structure']['end_step'] = int(end_step)
else:
log_info.log_error('Input error: end_step should be integer, please check or reset analyze/geometry/choose_structure/end_step')
else:
geometry_dic['choose_structure']['end_step'] = end_frame_id
init_step = geometry_dic['choose_structure']['init_step']
end_step = geometry_dic['choose_structure']['end_step']
check_step(init_step, end_step, start_frame_id, end_frame_id)
if ( 'atom_id' in choose_str_dic.keys() ):
geometry_dic['choose_structure']['atom_id'] = data_op.get_id_list(choose_str_dic['atom_id'])
else:
log_info.log_error('Input error: no atom_id, please set analyze/geometry/choose_structure/atom_id')
exit()
return geometry_dic
elif ( 'order_structure' in geometry_dic.keys() ):
new_geometry_dic = copy.deepcopy(geometry_dic)
order_str_dic = new_geometry_dic['order_structure']
if ( 'traj_coord_file' in order_str_dic.keys() ):
traj_coord_file = order_str_dic['traj_coord_file']
if ( os.path.exists(os.path.abspath(traj_coord_file)) ):
new_geometry_dic['order_structure']['traj_coord_file'] = os.path.abspath(traj_coord_file)
else:
log_info.log_error('Input error: %s file does not exist' %(traj_coord_file))
exit()
else:
log_info.log_error('Input error: no coordination trajectory file, please set analyze/geometry/order_structure/traj_coord_file')
exit()
if ( 'box' in order_str_dic.keys() ):
A_exist = 'A' in order_str_dic['box'].keys()
B_exist = 'B' in order_str_dic['box'].keys()
C_exist = 'C' in order_str_dic['box'].keys()
else:
log_info.log_error('Input error: no box, please set analyze/geometry/order_structure/box')
exit()
if ( A_exist and B_exist and C_exist ):
box_A = order_str_dic['box']['A']
box_B = order_str_dic['box']['B']
box_C = order_str_dic['box']['C']
else:
log_info.log_error('Input error: box setting error, please check analyze/geometry/order_structure/box')
exit()
if ( len(box_A) == 3 and all(data_op.eval_str(i) == 1 or data_op.eval_str(i) == 2 for i in box_A) ):
new_geometry_dic['order_structure']['box']['A'] = [float(x) for x in box_A]
else:
log_info.log_error('Input error: A vector of box wrong, please check analyze/geometry/order_structure//box/A')
exit()
if ( len(box_B) == 3 and all(data_op.eval_str(i) == 1 or data_op.eval_str(i) == 2 for i in box_B) ):
new_geometry_dic['order_structure']['box']['B'] = [float(x) for x in box_B]
else:
log_info.log_error('Input error: B vector of box wrong, please check analyze/geometry/order_structure/box/B')
exit()
if ( len(box_C) == 3 and all(data_op.eval_str(i) == 1 or data_op.eval_str(i) == 2 for i in box_C) ):
new_geometry_dic['order_structure']['box']['C'] = [float(x) for x in box_C]
else:
log_info.log_error('Input error: C vector of box wrong, please check analyze/geometry/order_structure/box/C')
exit()
group_atom = []
atom_id = []
group_num = 0
for i in order_str_dic.keys():
if ( 'connect' in i ):
group_num = group_num+1
if ( 'atom_id' in order_str_dic[i].keys() ):
atom_id_i = data_op.get_id_list(order_str_dic[i]['atom_id'])
atom_id.append(atom_id_i)
else:
log_info.log_error('Input error: no atom_id, please set analyze/geometry/order_structure/connect/atom_id')
exit()
if ( 'group_atom' in order_str_dic[i].keys() ):
group_atom_i = order_str_dic[i]['group_atom']
if ( isinstance(group_atom_i, list)):
if ( all(data_op.eval_str(x) == 0 for x in group_atom_i) ):
group_atom.append(group_atom_i)
else:
log_info.log_error('Input error: group_atom wrong, please check or reset analyze/geometry/order_structure/connect/group_atom')
exit()
else:
group_atom.append([group_atom_i])
else:
log_info.log_error('Input error: no group_atom, please set analyze/geometry/order_structure/connect/group_atom')
exit()
if ( group_num == 0 ):
log_info.log_error('Input error: no connect information, please check or reset analyze/geometry/order_structure/connect')
exit()
else:
for i in geometry_dic['order_structure'].keys():
if ( 'connect' in i ):
new_geometry_dic['order_structure'].pop(i)
new_geometry_dic['order_structure']['atom_id'] = atom_id
new_geometry_dic['order_structure']['group_atom'] = group_atom
return new_geometry_dic
def check_lmp2cp2k_inp(lmp2cp2k_dic):
'''
check_lmp2cp2k_inp: check the input of lmp2cp2k.
Args:
lmp2cp2k_dic: dictionary
lmp2cp2k_dic contains parameters for lmp2cp2k.
Returns:
lmp2cp2k_dic: dictionary
lmp2cp2k_dic is the revised lmp2cp2k_dic.
'''
lmp2cp2k_dic = copy.deepcopy(lmp2cp2k_dic)
if ( 'lmp_log_file' in lmp2cp2k_dic.keys() ):
lmp_log_file = lmp2cp2k_dic['lmp_log_file']
if ( os.path.exists(os.path.abspath(lmp_log_file)) ):
lmp2cp2k_dic['lmp_log_file'] = os.path.abspath(lmp_log_file)
else:
log_info.log_error('Input error: %s file does not exist' %(lmp_log_file))
exit()
else:
log_info.log_error('Input error: no lmp_log_file, please set analyze/lmp2cp2k/lmp_log_file')
exit()
if ( 'lmp_traj_file' in lmp2cp2k_dic.keys() ):
lmp_traj_file = lmp2cp2k_dic['lmp_traj_file']
if ( os.path.exists(os.path.abspath(lmp_traj_file)) ):
lmp2cp2k_dic['lmp_traj_file'] = os.path.abspath(lmp_traj_file)
else:
log_info.log_error('Input error: %s file does not exist' %(lmp_traj_file))
exit()
else:
log_info.log_error('Input error: no lmp_traj_file, please set analyze/lmp2cp2k/lmp_traj_file')
exit()
if ( 'atom_label' in lmp2cp2k_dic.keys() ):
atom_label = lmp2cp2k_dic['atom_label']
atom_label_dic = OrderedDict()
for i in range (len(atom_label)):
label_split = data_op.split_str(atom_label[i], ':')
atom_label_dic[int(label_split[0])] = label_split[1]
lmp2cp2k_dic['atom_label'] = atom_label_dic
else:
log_info.log_error('Input error: no atom_label, please set analyze/lmp2cp2k/atom_label')
exit()
if ( 'time_step' in lmp2cp2k_dic.keys() ):
time_step = lmp2cp2k_dic['time_step']
if ( data_op.eval_str(time_step) == 1 or data_op.eval_str(time_step) == 2 ):
lmp2cp2k_dic['time_step'] = float(time_step)
else:
log_info.log_error('Input error: time_step should float, please set analyze/lmp2cp2k/time_step')
exit()
else:
log_info.log_error('Input error: no time_step, please set analyze/lmp2cp2k/time_step')
exit()
valid_unit = ['metal', 'real']
if ( 'lmp_unit' in lmp2cp2k_dic.keys() ):
lmp_unit = lmp2cp2k_dic['lmp_unit']
if ( lmp_unit in valid_unit ):
pass
else:
log_info.log_error('Input error: %s is not supported, please check or reset analyze/lmp2cp2k/lmp_unit')
exit()
else:
log_info.log_error('Input error: no lmp_unit, please set analyze/lmp2cp2k/lmp_unit')
exit()
if ( 'unwrap' in lmp2cp2k_dic.keys() ):
unwrap = data_op.str_to_bool(lmp2cp2k_dic['unwrap'])
if ( isinstance(unwrap, bool) ):
lmp2cp2k_dic['unwrap'] = unwrap
else:
log_info.log_error('Input error: unwrap should be bool, please set analyze/lmp2cp2k/unwrap')
exit()
else:
lmp2cp2k_dic['unwrap'] = False
if ( 'box' in lmp2cp2k_dic.keys() ):
A_exist = 'A' in lmp2cp2k_dic['box'].keys()
B_exist = 'B' in lmp2cp2k_dic['box'].keys()
C_exist = 'C' in lmp2cp2k_dic['box'].keys()
else:
log_info.log_error('Input error: no box, please set analyze/lmp2cp2k/box')
exit()
if ( A_exist and B_exist and C_exist ):
box_A = lmp2cp2k_dic['box']['A']
box_B = lmp2cp2k_dic['box']['B']
box_C = lmp2cp2k_dic['box']['C']
else:
log_info.log_error('Input error: box setting error, please check analyze/lmp2cp2k/box')
exit()
if ( len(box_A) == 3 and all(data_op.eval_str(i) == 1 or data_op.eval_str(i) == 2 for i in box_A) ):
lmp2cp2k_dic['box']['A'] = [float(x) for x in box_A]
else:
log_info.log_error('Input error: A vector of box wrong, please check analyze/lmp2cp2k/box/A')
exit()
if ( len(box_B) == 3 and all(data_op.eval_str(i) == 1 or data_op.eval_str(i) == 2 for i in box_B) ):
lmp2cp2k_dic['box']['B'] = [float(x) for x in box_B]
else:
log_info.log_error('Input error: B vector of box wrong, please check analyze/lmp2cp2k/box/B')
exit()
if ( len(box_C) == 3 and all(data_op.eval_str(i) == 1 or data_op.eval_str(i) == 2 for i in box_C) ):
lmp2cp2k_dic['box']['C'] = [float(x) for x in box_C]
else:
log_info.log_error('Input error: C vector of box wrong, please check analyze/lmp2cp2k/box/C')
exit()
return lmp2cp2k_dic
def check_rdf_inp(rdf_dic):
'''
check_lmp2cp2k_inp: check the input of rdf.
Args:
rdf_dic: dictionary
rdf_dic contains parameters for rdf.
Returns:
rdf_dic: dictionary
rdf_dic is the revised rdf_dic.
'''
rdf_dic = copy.deepcopy(rdf_dic)
if ( 'traj_coord_file' in rdf_dic.keys() ):
traj_coord_file = rdf_dic['traj_coord_file']
if ( os.path.exists(os.path.abspath(traj_coord_file)) ):
rdf_dic['traj_coord_file'] = os.path.abspath(traj_coord_file)
atoms_num, pre_base_block, end_base_block, pre_base, frames_num, each, start_frame_id, end_frame_id, time_step = \
traj_info.get_traj_info(os.path.abspath(traj_coord_file), 'coord_xyz')
else:
log_info.log_error('Input error: %s file does not exist' %(traj_coord_file))
exit()
else:
log_info.log_error('Input error: no coordination trajectroy file, please set analyze/rdf/traj_coord_file')
exit()
if ( 'atom_type_pair' in rdf_dic.keys() ):
atom_type_pair = rdf_dic['atom_type_pair']
if ( len(atom_type_pair) == 2 and all(data_op.eval_str(x) == 0 for x in atom_type_pair) ):
pass
else:
log_info.log_error('Input error: atom_type_pair should be 2 string, please check or reset analyze/rdf/atom_type_pair')
exit()
else:
log_info.log_error('Input error: no atom type, please set analyze/rdf/atom_type_pair')
exit()
if ( 'init_step' in rdf_dic.keys() ):
init_step = rdf_dic['init_step']
if ( data_op.eval_str(init_step) == 1 ):
rdf_dic['init_step'] = int(init_step)
else:
log_info.log_error('Input error: init_step should be integer, please check or reset analyze/rdf/init_step')
else:
rdf_dic['init_step'] = start_frame_id
if ( 'end_step' in rdf_dic.keys() ):
end_step = rdf_dic['end_step']
if ( data_op.eval_str(end_step) == 1 ):
rdf_dic['end_step'] = int(end_step)
else:
log_info.log_error('Input error: end_step should be integer, please check or reset analyze/rdf/end_step')
else:
rdf_dic['end_step'] = end_frame_id
init_step = rdf_dic['init_step']
end_step = rdf_dic['end_step']
check_step(init_step, end_step, start_frame_id, end_frame_id)
if ( 'r_increment' in rdf_dic.keys() ):
r_increment = rdf_dic['r_increment']
if ( data_op.eval_str(r_increment) == 2 ):
rdf_dic['r_increment'] = float(r_increment)
else:
log_info.log_error('Input error: r_increment should be float, please check or reset analyze/rdf/r_increment')
else:
rdf_dic['r_increment'] = 0.1
if ( 'box' in rdf_dic.keys() ):
A_exist = 'A' in rdf_dic['box'].keys()
B_exist = 'B' in rdf_dic['box'].keys()
C_exist = 'C' in rdf_dic['box'].keys()
else:
log_info.log_error('Input error: no box, please set analyze/rdf/box')
exit()
if ( A_exist and B_exist and C_exist ):
box_A = rdf_dic['box']['A']
box_B = rdf_dic['box']['B']
box_C = rdf_dic['box']['C']
else:
log_info.log_error('Input error: box setting error, please check analyze/rdf/box')
exit()
if ( len(box_A) == 3 and all(data_op.eval_str(i) == 1 or data_op.eval_str(i) == 2 for i in box_A) ):
rdf_dic['box']['A'] = [float(x) for x in box_A]
else:
log_info.log_error('Input error: A vector of box wrong, please check analyze/rdf/box/A')
exit()
if ( len(box_B) == 3 and all(data_op.eval_str(i) == 1 or data_op.eval_str(i) == 2 for i in box_B) ):
rdf_dic['box']['B'] = [float(x) for x in box_B]
else:
log_info.log_error('Input error: B vector of box wrong, please check analyze/rdf/box/B')
exit()
if ( len(box_C) == 3 and all(data_op.eval_str(i) == 1 or data_op.eval_str(i) == 2 for i in box_C) ):
rdf_dic['box']['C'] = [float(x) for x in box_C]
else:
log_info.log_error('Input error: C vector of box wrong, please check analyze/rdf/box/C')
exit()
return rdf_dic
def check_spectrum_inp(spectrum_dic):
'''
check_spectrum_inp: check the input of spectrum.
Args:
spectrum_dic: dictionary
spectrum_dic contains parameters for spectrum.
Returns:
spectrum_dic: dictionary
spectrum_dic is the revised spectrum_dic.
'''
valid_type = ['general', 'water_mode', 'hydration_mode']
if ( 'type' in spectrum_dic.keys() ):
spec_type = spectrum_dic['type']
if ( spec_type in valid_type ):
pass
else:
log_info.log_error('Input error: %s is not supported, but check or reset analyze/power_spectrum/type' %(spec_type))
exit()
else:
log_info('Input error: no type, please set analyze/power_spectrum/type')
exit()
if ( 'traj_vel_file' in spectrum_dic.keys() ):
traj_vel_file = spectrum_dic['traj_vel_file']
if ( os.path.exists(os.path.abspath(traj_vel_file)) ):
spectrum_dic['traj_vel_file'] = os.path.abspath(traj_vel_file)
atoms_num, pre_base_block, end_base_block, pre_base, frames_num, each, start_frame_id, end_frame_id, time_step = \
traj_info.get_traj_info(os.path.abspath(traj_vel_file), 'vel')
else:
log_info.log_error('Input error: %s file does not exist' %(traj_vel_file))
exit()
else:
log_info.log_error('Input error: traj_vel_file, please set analyze/power_spectrum/traj_vel_file')
exit()
spec_type = spectrum_dic['type']
if ( spec_type == 'water_mode' or spec_type == 'hydration_mode' ):
if ( 'traj_coord_file' in spectrum_dic.keys() ):
traj_coord_file = spectrum_dic['traj_coord_file']
if ( os.path.exists(os.path.abspath(traj_coord_file)) ):
spectrum_dic['traj_coord_file'] = os.path.abspath(traj_coord_file)
else:
log_info.log_error('Input error: %s file does not exist' %(traj_coord_file))
exit()
else:
log_info.log_error('Input error: no traj_coord_file, please set analyze/power_spectrum/traj_coord_file')
exit()
if ( 'init_step' in spectrum_dic.keys() ):
init_step = spectrum_dic['init_step']
if ( data_op.eval_str(init_step) == 1 ):
spectrum_dic['init_step'] = int(init_step)
else:
log_info.log_error('Input error: init_step should be integer, please check or reset analyze/power_spectrum/init_step')
exit()
else:
spectrum_dic['init_step'] = start_frame_id
if ( 'end_step' in spectrum_dic.keys() ):
end_step = spectrum_dic['end_step']
if ( data_op.eval_str(end_step) == 1 ):
spectrum_dic['end_step'] = int(end_step)
else:
log_info.log_error('Input error: end_step should be integer, please check or reset analyze/power_spectrum/end_step')
exit()
else:
spectrum_dic['end_step'] = end_frame_id
init_step = spectrum_dic['init_step']
end_step = spectrum_dic['end_step']
check_step(init_step, end_step, start_frame_id, end_frame_id)
if ( 'max_frame_corr' in spectrum_dic.keys() ):
max_frame_corr = spectrum_dic['max_frame_corr']
if ( data_op.eval_str(max_frame_corr) == 1 ):
spectrum_dic['max_frame_corr'] = int(max_frame_corr)
else:
log_info.log_error('Input error: max_frame_corr should be integer, please check or reset analyze/power_spectrum/max_frame_corr')
exit()
else:
spectrum_dic['max_frame_corr'] = int(frames_num/3)
if ( 'start_wave' in spectrum_dic.keys() ):
start_wave = spectrum_dic['start_wave']
if ( data_op.eval_str(start_wave) == 1 or data_op.eval_str(start_wave) == 2 ):
spectrum_dic['start_wave'] = float(start_wave)
else:
log_info.log_error('Input error: start_wave should be float, please check or reset analyze/power_spectrum/start_wave')
exit()
else:
spectrum_dic['start_wave'] = 0
if ( 'end_wave' in spectrum_dic.keys() ):
end_wave = spectrum_dic['end_wave']
if ( data_op.eval_str(end_wave) == 1 or data_op.eval_str(end_wave) == 2 ):
spectrum_dic['end_wave'] = float(end_wave)
else:
log_info.log_error('Input error: end_wave should be float, please check or reset analyze/power_spectrum/end_wave')
exit()
else:
spectrum_dic['end_wave'] = 0
if ( 'normalize' in spectrum_dic.keys() ):
normalize = spectrum_dic['normalize']
if ( data_op.eval_str(normalize) == 1 ):
if ( int(normalize) == 0 or int(normalize) == 1 ):
spectrum_dic['normalize'] = int(normalize)
else:
log_info.log_error('Input error: normalize should be 0 or 1, please check or reset analyze/power_spectrum/normalize')
exit()
else:
log_info.log_error('Input error: normalize should be 0 or 1, please check or reset analyze/power_spectrum/normalize')
exit()
else:
spectrum_dic['normalize'] = 1
if ( spec_type == 'general' or spec_type == 'water_mode' ):
if ( 'atom_id' in spectrum_dic.keys() ):
atom_id_list = data_op.get_id_list(spectrum_dic['atom_id'])
spectrum_dic['atom_id'] = atom_id_list
else:
log_info.log_error('Input error: no atom_id, please set analyze/power_spectrum/atom_id')
exit()
else:
if ( 'box' in spectrum_dic.keys() ):
A_exist = 'A' in spectrum_dic['box'].keys()
B_exist = 'B' in spectrum_dic['box'].keys()
C_exist = 'C' in spectrum_dic['box'].keys()
else:
log_info.log_error('Input error: no box, please set analyze/power_spectrum/box')
exit()
if ( A_exist and B_exist and C_exist ):
box_A = spectrum_dic['box']['A']
box_B = spectrum_dic['box']['B']
box_C = spectrum_dic['box']['C']
else:
log_info.log_error('Input error: box setting error, please check analyze/power_sepctrum/box')
exit()
if ( len(box_A) == 3 and all(data_op.eval_str(i) == 1 or data_op.eval_str(i) == 2 for i in box_A) ):
spectrum_dic['box']['A'] = [float(x) for x in box_A]
else:
log_info.log_error('Input error: A vector of box wrong, please check analyze/power_spectrum/box/A')
exit()
if ( len(box_B) == 3 and all(data_op.eval_str(i) == 1 or data_op.eval_str(i) == 2 for i in box_B) ):
spectrum_dic['box']['B'] = [float(x) for x in box_B]
else:
log_info.log_error('Input error: B vector of box wrong, please check analyze/power_spectrum/box/B')
exit()
if ( len(box_C) == 3 and all(data_op.eval_str(i) == 1 or data_op.eval_str(i) == 2 for i in box_C) ):
spectrum_dic['box']['C'] = [float(x) for x in box_C]
else:
log_info.log_error('Input error: C vector of box wrong, please check analyze/power_spectrum/box/C')
exit()
if ( spec_type == 'hydration_mode' ):
if ( 'hyd_shell_dist' in spectrum_dic.keys() ):
hyd_shell_dist = spectrum_dic['hyd_shell_dist']
if ( data_op.eval_str(hyd_shell_dist) == 1 or data_op.eval_str(hyd_shell_dist) == 2 ):
spectrum_dic['hyd_shell_dist'] = float(hyd_shell_dist)
else:
log_info.log_error('Input error: hyd_shell_dist should be float, please check or reset analyze/power_spectrum/hyd_shell_dist')
exit()
else:
log_info.log_error('Input error: no hyd_shell_dist, please set analyze/power_spectrum/hyd_shell_dist')
exit()
if ( 'dist_conv' in spectrum_dic.keys() ):
dist_conv = spectrum_dic['dist_conv']
if ( data_op.eval_str(dist_conv) == 1 or data_op.eval_str(dist_conv) == 2 ):
spectrum_dic['dist_conv'] = float(dist_conv)
else:
log_info.log_error('Input error: dist_conv should be float, please check or reset analyze/power_spectrum/dist_conv')
exit()
else:
spectrum_dic['dist_conv'] = 0.3
if ( 'atom_type_pair' in spectrum_dic.keys() ):
atom_type_pair = spectrum_dic['atom_type_pair']
if ( len(atom_type_pair) == 2 and all(data_op.eval_str(x) == 0 for x in atom_type_pair) ):
pass
else:
log_info.log_error('Input error: atom_type_pair should be 2 string, please check or reset analyze/power_spectrum/atom_type_pair')
exit()
else:
log_info.log_error('Input error: no atom_type_pair, please set analyze/power_spectrum/atom_type_pair')
exit()
return spectrum_dic
def check_v_hartree_inp(v_hartree_dic):
'''
check_v_hartree_inp: check the input of v_hartree.
Args:
v_hartree_dic: dictionary
v_hartree_dic contains parameters for v_hartree.
Returns:
v_hartree_dic: dictionary
v_hartree_dic is the revised v_hartree_dic.
'''
v_hartree_dic = copy.deepcopy(v_hartree)
if ( 'cube_file' in v_hartree_dic.keys() ):
cube_file = v_hartree_dic['cube_file']
if ( os.path.exists(os.path.abspath(cube_file)) ):
v_hartree_dic['cube_file'] = os.path.abspath(cube_file)
else:
log_info.log_error('Input error: %s file does not exist' %(cube_file))
exit()
else:
log_info.log_error('Input error: no charge cube file, please set analyze/v_hartree/cube_file')
exit()
if ( 'surface' in v_hartree_dic.keys() ):
surface = v_hartree_dic['surface']
if ( len(surface) == 3 and all(data_op.eval_str(x) == 1 for x in surface) ):
v_hartree_dic['surface'] = [int(x) for x in surface]
else:
log_info.log_error('Input error: surface should be 3 integer, please check or set analyze/v_hartree/surface')
exit()
else:
log_info.log_error('Input error: no surface, please set analyze/v_hartree/surface')
exit()
return v_hartree_dic
def check_arrange_data_inp(arrange_data_dic):
'''
check_arrange_data_inp: check the input of arrange_data.
Args:
arrange_data_dic: dictionary
arrange_data_dic contains parameters for arrange_data.
Returns:
arrange_data_dic: dictionary
arrange_data_dic is the revised arrange_data_dic.
'''
if ( 'temperature' in arrange_data_dic):
temp_dic = arrange_data_dic['temperature']
if ( 'traj_ener_file' in temp_dic.keys() ):
traj_ener_file = temp_dic['traj_ener_file']
if ( os.path.exists(os.path.abspath(traj_ener_file)) ):
arrange_data_dic['temperature']['traj_ener_file'] = os.path.abspath(traj_ener_file)
else:
log_info.log_error('Input error: %s file does not exist' %(traj_ener_file))
exit()
else:
log_info.log_error('Input error: energy trajectory file, please set analyze/arranage_data/temperature/traj_ener_file')
exit()
#arrange potential energy
elif ( 'potential' in arrange_data_dic ):
pot_dic = arrange_data_dic['potential']
if ( 'traj_ener_file' in pot_dic.keys() ):
traj_ener_file = pot_dic['traj_ener_file']
if ( os.path.exists(os.path.abspath(traj_ener_file)) ):
arrange_data_dic['potential']['traj_ener_file'] = os.path.abspath(traj_ener_file)
else:
log_info.log_error('Input error: %s file does not exist' %(traj_ener_file))
exit()
else:
log_info.log_error('Input error: no energy trajectory file, please set analyze/arranage_data/potential/traj_ener_file')
exit()
#arrange mulliken charge
elif ( 'mulliken' in arrange_data_dic ):
mulliken_dic = arrange_data_dic['mulliken']
if ( 'traj_mul_file' in mulliken_dic.keys() ):
traj_mul_file = mulliken_dic['traj_mul_file']
if ( os.path.exists(os.path.abspath(traj_mul_file)) ):
arrange_data_dic['mulliken']['traj_mul_file'] = os.path.abspath(traj_mul_file)
else:
log_info.log_error('Input error: %s file does not exist' %(traj_mul_file))
exit()
else:
log_info.log_error('Input error: no mulliken trajectory file, please set analyze/arranage_data/mulliken/traj_mul_file')
exit()
if ( 'atom_id' in mulliken_dic.keys() ):
arrange_data_dic['mulliken']['atom_id'] = data_op.get_id_list(mulliken_dic['atom_id'])
else:
log_info.log_error('Input error: no atom id, please set analyze/arranage_data/mulliken/atom_id')
exit()
if ( 'time_step' in mulliken_dic.keys() ):
time_step = mulliken_dic['time_step']
if ( data_op.eval_str(time_step) == 2 ):
arrange_data_dic['mulliken']['time_step'] = float(time_step)
else:
log_info.log_error('Input error: time step should be float, please check or set analyze/arranage_data/mulliken/atom_id')
exit()
else:
arrange_data_dic['mulliken']['time_step'] = 0.5
if ( 'each' in mulliken_dic.keys() ):
each = mulliken_dic['each']
if ( data_op.eval_str(each) == 1 ):
arrange_data_dic['mulliken']['each'] = int(each)
else:
log_info.log_error('Input error: each should be integer, please check or set analyze/arranage_data/mulliken/each')
exit()
else:
arrange_data_dic['mulliken']['each'] = 1
#arrange vertical energy
elif ( 'vertical_energy' in arrange_data_dic ):
vert_ene_dic = arrange_data_dic['vertical_energy']
if ( 'traj_mix_ener_file' in vert_ene_dic.keys() ):
traj_mix_ener_file = vert_ene_dic['traj_mix_ener_file']
if ( os.path.exists(os.path.abspath(traj_mix_ener_file)) ):
arrange_data_dic['vertical_energy']['traj_mix_ener_file'] = os.path.abspath(traj_mix_ener_file)
blocks_num, pre_base_block, end_base_block, pre_base, frames_num, each, start_frame_id, end_frame_id, time_step = \
traj_info.get_traj_info(os.path.abspath(traj_mix_ener_file), 'mix_ener')
else:
log_info.log_error('Input error: %s file does not exist' %(traj_mix_ener_file))
exit()
else:
log_info.log_error('Input error: no mix energy trajectory file, please set analyze/arranage_data/vertical_energy/traj_mix_ener_file')
exit()
if ( 'row_ox' in vert_ene_dic.keys() ):
row_ox = vert_ene_dic['row_ox']
if ( data_op.eval_str(row_ox) == 1 ):
arrange_data_dic['vertical_energy']['row_ox'] = int(row_ox)
else:
log_info.log_error('Input error: row_ox should be integer, please check or reset analyze/arranage_data/vertical_energy/row_ox')
exit()
else:
log_info.log_error('Input error: no row_ox, please set analyze/arranage_data/vertical_energy/row_ox')
exit()
if ( 'row_red' in vert_ene_dic.keys() ):
row_red = vert_ene_dic['row_red']
if ( data_op.eval_str(row_red) == 1 ):
arrange_data_dic['vertical_energy']['row_red'] = int(row_red)
else:
log_info.log_error('Input error: row_red should be integer, please check or reset analyze/arranage_data/vertical_energy/row_red')
exit()
else:
log_info.log_error('Input error: no row_red, please set analyze/arranage_data/vertical_energy/row_red')
exit()
if ( 'redox_type' in vert_ene_dic.keys() ):
redox_type = vert_ene_dic['redox_type']
if ( redox_type == 'oxidation' or redox_type == 'reduction' ):
pass
else:
log_info.log_error('Input error: only oxidation and reduction are supported for redox_type')
exit()
else:
log_info.log_error('Input error: no redox_type, please set analyze/arranage_data/vertical_energy/redox_type')
exit()
if ( 'slow_growth' in vert_ene_dic.keys() ):
slow_growth = vert_ene_dic['slow_growth']
if ( data_op.eval_str(slow_growth) == 1 ):
if ( int(slow_growth) == 0 or int(slow_growth) == 1 ):
arrange_data_dic['vertical_energy']['slow_growth'] = int(slow_growth)
else:
log_info.log_error('Input error: slow_growth should be 0 or 1, please check or reset analyze/arranage_data/vertical_energy/slow_growth')
exit()
else:
log_info.log_error('Input error: slow_growth should be integer, please set analyze/arranage_data/vertical_energy/slow_growth')
exit()
else:
arrange_data_dic['vertical_energy']['slow_growth'] = 0 #0 means no slow_growth
slow_growth = arrange_data_dic['vertical_energy']['slow_growth']
if ( slow_growth == 1 ):
if ( 'increment' in vert_ene_dic.keys() ):
increment = vert_ene_dic['increment']
if ( data_op.eval_str(increment) == 2 ):
arrange_data_dic['vertical_energy']['increment'] = float(increment)
else:
log_info.log_error('Input error: increment should be float, please check or reset analyze/arranage_data/vertical_energy/increment')
exit()
else:
log_info.log_error('Input error: no increment, please set analyze/arranage_data/vertical_energy/increment')
exit()
if ( 'init_step' in vert_ene_dic.keys() ):
init_step = vert_ene_dic['init_step']
if ( data_op.eval_str(init_step) == 1 ):
arrange_data_dic['vertical_energy']['init_step'] = int(init_step)
else:
log_info.log_error('Input error: init_step should be integer, please check or reset analyze/arranage_data/vertical_energy/init_step')
exit()
else:
arrange_data_dic['vertical_energy']['init_step'] = start_id
if ( 'end_step' in vert_ene_dic.keys() ):
end_step = vert_ene_dic['end_step']
if ( data_op.eval_str(end_step) == 1 ):
arrange_data_dic['vertical_energy']['end_step'] = int(end_step)
else:
log_info.log_error('Input error: end_step should be integer, please check or reset analyze/arranage_data/vertical_energy/end_step')
exit()
else:
arrange_data_dic['vertical_energy']['end_step'] = end_id
init_step = arrange_data_dic['vertical_energy']['init_step']
end_step = arrange_data_dic['vertical_energy']['end_step']
check_step(init_step, end_step, start_frame_id, end_frame_id)
if ( 'final_time_unit' in vert_ene_dic.keys() ):
final_time_unit = vert_ene_dic['final_time_unit']
if ( final_time_unit in ['fs', 'ps', 'ns'] ):
pass
else:
log_info.log_error('Input error: final_time_unit wrong, please check or reset analyze/arranage_data/vertical_energy/final_time_unit')
exit()
else:
arrange_data_dic['vertical_energy']['final_time_unit'] = 'fs'
elif ( 'ti_force' in arrange_data_dic ):
ti_force_dic = arrange_data_dic['ti_force']
if ( 'traj_lag_file' in ti_force_dic.keys() ):
traj_lag_file = ti_force_dic['traj_lag_file']
if ( os.path.exists(os.path.abspath(traj_lag_file)) ):
arrange_data_dic['ti_force']['traj_lag_file'] = os.path.abspath(traj_lag_file)
else:
log_info.log_error('Input error: %s file does not exist' %(traj_lag_file))
exit()
else:
log_info.log_error('Input error: no lagrange trajectory file, please set analyze/arrange_data/ti_force/traj_lag_file')
exit()
if ( 'stat_num' in ti_force_dic.keys() ):
stat_num = ti_force_dic['stat_num']
if ( data_op.eval_str(stat_num) == 1 ):
arrange_data_dic['ti_force']['stat_num'] = int(stat_num)
else:
log_info.log_error('Input error: stat_num should be integer, please check or reset analyze/arrange_data/ti_force/stat_num')
exit()
else:
arrange_data_dic['ti_force']['stat_num'] = 1
return arrange_data_dic
def check_free_energy_inp(free_energy_dic):
'''
check_free_energy_inp: check the input of free_energy.
Args:
free_energy_dic: dictionary
free_energy_dic contains parameters for free_energy.
Returns:
free_energy_dic: dictionary
free_energy_dic is the revised free_energy_dic.
'''
free_energy_dic = copy.deepcopy(free_energy_dic)
if ( 'method' in free_energy_dic.keys() ):
method = free_energy_dic['method']
else:
log_info.log_error('Input error: no method, please set analyze/free_energy/method')
exit()
if ( method == 'ti' ):
if ( 'ti_file' in free_energy_dic.keys() ):
ti_file = free_energy_dic['ti_file']
if ( os.path.exists(os.path.abspath(ti_file)) ):
free_energy_dic['ti_file'] = os.path.abspath(ti_file)
else:
log_info.log_error('Input error: %s does not exist' %(ti_file))
exit()
else:
log_info.log_error('Input error: no ti_file, please set analyze/free_energy/ti_file')
exit()
return free_energy_dic
def check_rmsd_inp(rmsd_dic):
'''
check_rmsd_inp: check the input of rmsd.
Args:
rmsd_dic: dictionary
rmsd_dic contains parameters for rmsd.
Returns:
rmsd_dic: dictionary
rmsd_dic is the revised rmsd_dic.
'''
if ( 'traj_coord_file' in rmsd_dic.keys() ):
traj_coord_file = rmsd_dic['traj_coord_file']
if ( os.path.exists(os.path.abspath(traj_coord_file)) ):
rmsd_dic['traj_coord_file'] = os.path.abspath(traj_coord_file)
else:
log_info.log_error('Input error: %s file does not exist' %(traj_coord_file))
exit()
else:
log_info.log_error('Input error: no coordination trajectory file, please set analyze/rmsd/traj_coord_file')
exit()
if ( 'atom_id' in rmsd_dic.keys() ):
rmsd_dic['atom_id'] = data_op.get_id_list(rmsd_dic['atom_id'])
else:
log_info.log_error('Input error: no atom id, please set analyze/rmsd/atom_id')
exit()
if ( 'ref_frame' in rmsd_dic.keys() ):
ref_frame = rmsd_dic['ref_frame']
if ( data_op.eval_str(ref_frame) == 1 ):
rmsd_dic['ref_frame'] = int(ref_frame)
else:
log_info.log_error('Input error: ref_frame should be integer, please check or reset analyze/rmsd/ref_frame')
eixt()
else:
log_info.log_error('Input error: no reference frame, please set analyze/rmsd/ref_frame')
exit()
if ( 'compare_frame' in rmsd_dic.keys() ):
compare_frame = rmsd_dic['compare_frame']
rmsd_dic['compare_frame'] = data_op.get_id_list(compare_frame)
else:
log_info.log_error('Input error: no compare frame, please set analyze/rmsd/compare_frame')
exit()
return rmsd_dic
def check_time_correlation_inp(time_corr_dic):
'''
check_time_correlation_inp: check the input of time_correlation.
Args:
time_corr_dic: dictionary
time_corr_dic contains parameters for time_corr.
Returns:
time_corr_dic: dictionary
time_corr_dic is the revised time_corr_dic.
'''
if ( 'traj_file' in time_corr_dic.keys() ):
traj_file = time_corr_dic['traj_file']
if ( os.path.exists(os.path.abspath(traj_file)) ):
time_corr_dic['traj_file'] = os.path.abspath(traj_file)
atoms_num, pre_base_block, end_base_block, pre_base, frames_num, each, start_frame_id, end_frame_id, time_step = \
traj_info.get_traj_info(os.path.abspath(traj_file), 'coord_xyz')
else:
log_info.log_error('Input error: %s file does not exists' %(traj_file))
exit()
else:
log_info.log_error('Input error: no trajectory file, please set analyze/time_correlation/traj_file')
exit()
if ( 'atom_id' in time_corr_dic.keys() ):
atom_id = time_corr_dic['atom_id']
time_corr_dic['atom_id'] = data_op.get_id_list(atom_id)
else:
log_info.log_error('Input error: no atom_id, please set analyze/time_correlation/atom_id')
exit()
if ( 'max_frame_corr' in time_corr_dic.keys() ):
max_frame_corr = time_corr_dic['max_frame_corr']
if ( data_op.eval_str(max_frame_corr) == 1 ):
time_corr_dic['max_frame_corr'] = int(max_frame_corr)
else:
log_info.log_error('Input error: max_frame_corr should be integer, please check or reset analyze/time_correlation/max_frame_corr')
exit()
else:
time_corr_dic['max_frame_corr'] = int(frames_num/3)
if ( 'init_step' in time_corr_dic.keys() ):
init_step = time_corr_dic['init_step']
if ( data_op.eval_str(init_step) == 1 ):
time_corr_dic['init_step'] = int(init_step)
else:
log_info.log_error('Input error: init_step should be integer, please check or reset analyze/time_correlation/init_step')
exit()
else:
time_corr_dic['init_step'] = start_frame_id
if ( 'end_step' in time_corr_dic.keys() ):
end_step = time_corr_dic['end_step']
if ( data_op.eval_str(end_step) == 1 ):
time_corr_dic['end_step'] = int(end_step)
else:
log_info.log_error('Input error: end_step should be integer, please check or reset analyze/time_correlation/end_step')
exit()
else:
time_corr_dic['end_step'] = end_frame_id
init_step = time_corr_dic['init_step']
end_step = time_corr_dic['end_step']
check_step(init_step, end_step, start_frame_id, end_frame_id)
if ( 'normalize' in time_corr_dic.keys() ):
normalize = time_corr_dic['normalize']
if ( data_op.eval_str(normalize) == 1 ):
if ( int(normalize) == 0 or int(normalize) == 1 ):
time_corr_dic['normalize'] = int(normalize)
else:
log_info.log_error('Input error: only 0 and 1 are supported for normalize, please check or reset analyze/time_correlation/normalize')
exit()
else:
log_info.log_error('Input error: init_step should be integer, please check or reset analyze/time_correlation/normalize')
exit()
else:
time_corr_dic['normalize'] = 1
return time_corr_dic
| 40.400244 | 146 | 0.677978 | 10,353 | 66,216 | 4.012267 | 0.023375 | 0.032018 | 0.045259 | 0.067888 | 0.823299 | 0.727894 | 0.647705 | 0.568911 | 0.513204 | 0.477527 | 0 | 0.005909 | 0.200042 | 66,216 | 1,638 | 147 | 40.424908 | 0.77829 | 0.047859 | 0 | 0.453344 | 0 | 0.002333 | 0.320304 | 0.079403 | 0 | 0 | 0 | 0 | 0 | 1 | 0.010109 | false | 0.008554 | 0.004666 | 0 | 0.027994 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
fa4fcf11c3e0d7848affc502abed9001f5ba7a11 | 276 | py | Python | probability/measure/algebra/borel.py | jedhsu/probability | cd94726315cd6d9e537925cdd2f13cf7911dbb92 | [
"Apache-2.0"
] | null | null | null | probability/measure/algebra/borel.py | jedhsu/probability | cd94726315cd6d9e537925cdd2f13cf7911dbb92 | [
"Apache-2.0"
] | null | null | null | probability/measure/algebra/borel.py | jedhsu/probability | cd94726315cd6d9e537925cdd2f13cf7911dbb92 | [
"Apache-2.0"
] | null | null | null | # just do power set for now. ez
__all__ = ["BorelAlgebra"]
from .sigma import SigmaAlgebra
# this step is not super explicitly necessary as long as you handle the borel mechanism implicitly
class BorelAlgebra(SigmalAlgebra):
symbol = "B"
class BorelSpace:
pass
| 17.25 | 98 | 0.742754 | 37 | 276 | 5.432432 | 0.918919 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.199275 | 276 | 15 | 99 | 18.4 | 0.909502 | 0.456522 | 0 | 0 | 0 | 0 | 0.088435 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.166667 | 0.166667 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 |
fa5083b2cae596caa53eabcc4d2defeeab957579 | 362 | py | Python | copulas/multivariate/__init__.py | pvk-developer/Copulas | 4de54e946ecb1e2bf831874e6a00a7d04d302804 | [
"MIT"
] | 71 | 2018-06-20T12:07:34.000Z | 2020-01-03T21:43:01.000Z | copulas/multivariate/__init__.py | Hooddi/Copulas | 86dc1304fe4ffb51302fc37801d7f18c4ab4d88d | [
"MIT"
] | 75 | 2018-06-20T09:46:07.000Z | 2019-12-23T15:04:19.000Z | copulas/multivariate/__init__.py | Hooddi/Copulas | 86dc1304fe4ffb51302fc37801d7f18c4ab4d88d | [
"MIT"
] | 25 | 2018-06-24T18:01:11.000Z | 2020-01-02T14:30:09.000Z | """Multivariate copulas module."""
from copulas.multivariate.base import Multivariate
from copulas.multivariate.gaussian import GaussianMultivariate
from copulas.multivariate.tree import Tree, TreeTypes
from copulas.multivariate.vine import VineCopula
__all__ = (
'Multivariate',
'GaussianMultivariate',
'VineCopula',
'Tree',
'TreeTypes'
)
| 24.133333 | 62 | 0.767956 | 34 | 362 | 8.058824 | 0.382353 | 0.160584 | 0.335766 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.140884 | 362 | 14 | 63 | 25.857143 | 0.881029 | 0.077348 | 0 | 0 | 0 | 0 | 0.167683 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.363636 | 0 | 0.363636 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
fa583b36546ffd32a550057f809cc32efb9ae476 | 3,929 | py | Python | venv/Include/Tuple.py | matthijsvanvliet/raytracing-python | 73d692b47330ab94eedde579a51063e3a907e92b | [
"MIT"
] | 1 | 2021-06-03T11:34:15.000Z | 2021-06-03T11:34:15.000Z | venv/Include/Tuple.py | matthijsvanvliet/raytracing-python | 73d692b47330ab94eedde579a51063e3a907e92b | [
"MIT"
] | null | null | null | venv/Include/Tuple.py | matthijsvanvliet/raytracing-python | 73d692b47330ab94eedde579a51063e3a907e92b | [
"MIT"
] | null | null | null | from dataclasses import dataclass
from enum import Enum
import math
import sys
EPSILON = 0.00001
def isEqual(a, b):
return True if abs(a - b) < EPSILON else False
# Tuple types enum
class TupleTypes(Enum):
VECTOR = 0
POINT = 1
# Tuple struct
# Implement tuple as numpy array of 4 elements with properties for x, y, z and w
class Tuple:
def __init__(self, x: float, y: float, z: float, w: float):
self.x = x
self.y = y
self.z = z
self.w = w
def magnitude(self):
return math.sqrt(pow(self.x, 2) +
pow(self.y, 2) +
pow(self.z, 2) +
pow(self.w, 2))
def normalize(self):
magnitude = self.magnitude()
return Tuple(self.x / magnitude,
self.y / magnitude,
self.z / magnitude,
self.w / magnitude)
def dot(self, other):
return (self.x * other.x +
self.y * other.y +
self.z * other.z +
self.w * other.w)
def cross(self, other):
return vector(self.y * other.z - self.z * other.y,
self.z * other.x - self.x * other.z,
self.x * other.y - self.y * other.x)
def reflect(self, normal):
return self - normal * 2 * self.dot(normal)
def get_type(self):
if (self.w == 0):
return TupleTypes.VECTOR
elif (self.w == 1):
return TupleTypes.POINT
def __eq__(self, other):
return True if isEqual(self.x, other.x) and isEqual(self.y, other.y) and isEqual(self.z, other.z) and isEqual(self.w, other.w) else False
def __add__(self, other):
return Tuple((self.x + other.x), (self.y + other.y), (self.z + other.z), (self.w + other.w))
def __sub__(self, other):
return Tuple((self.x - other.x), (self.y - other.y), (self.z - other.z), (self.w - other.w))
def __neg__(self):
return Tuple(-self.x, -self.y, -self.z, -self.w)
def __mul__(self, other):
return Tuple((self.x * other), (self.y * other), (self.z * other), (self.w * other))
def __truediv__(self, other):
return Tuple((self.x / other), (self.y / other), (self.z / other), (self.w / other))
def __abs__(self):
return Tuple(abs(self.x), abs(self.y), abs(self.z), abs(self.w))
def __str__(self):
return f'{self.x, self.y, self.z, self.w}'
class Color:
def __init__(self, red: float, green: float, blue: float):
self.red = red
self.green = green
self.blue = blue
def hadamard_product(self, other):
return Color((self.red * other.red), (self.green * other.green), (self.blue * other.blue))
def __eq__(self, other):
return True if isEqual(self.red, other.red) and isEqual(self.green, other.green) and isEqual(self.blue, other.blue) else False
def __add__(self, other):
return Color((self.red + other.red), (self.green + other.green), (self.blue + other.blue))
def __sub__(self, other):
return Color((self.red - other.red), (self.green - other.green), (self.blue - other.blue))
def __neg__(self):
return Color(-self.red, -self.green, -self.blue)
def __mul__(self, other):
return self.hadamard_product(other) if type(other) is Color else Color((self.red * other), (self.green * other), (self.blue * other))
def __truediv__(self, other: float):
return Color((self.red / other), (self.green / other), (self.blue / other))
def __abs__(self):
return Color(abs(self.red), abs(self.green), abs(self.blue))
def __str__(self):
return f'{self.red, self.green, self.blue}'
# Functions to instantiate Tuples as different types
def point(x, y, z):
return Tuple(x, y, z, TupleTypes.POINT.value)
def vector(x, y, z):
return Tuple(x, y, z, TupleTypes.VECTOR.value)
| 31.943089 | 145 | 0.576992 | 569 | 3,929 | 3.852373 | 0.140598 | 0.034215 | 0.082117 | 0.043796 | 0.458029 | 0.410584 | 0.373175 | 0.359489 | 0.341241 | 0.284215 | 0 | 0.00566 | 0.280478 | 3,929 | 122 | 146 | 32.204918 | 0.769721 | 0.040468 | 0 | 0.162791 | 0 | 0 | 0.017273 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.325581 | false | 0 | 0.046512 | 0.27907 | 0.744186 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
fa6dbab6702b162536c6542a80ba754c79e3c51e | 4,065 | py | Python | scripts/clean_dataset.py | bonaventuredossou/fakenews_detection | 062d4348ab76860a48f745cda883db8ab416c250 | [
"MIT"
] | null | null | null | scripts/clean_dataset.py | bonaventuredossou/fakenews_detection | 062d4348ab76860a48f745cda883db8ab416c250 | [
"MIT"
] | null | null | null | scripts/clean_dataset.py | bonaventuredossou/fakenews_detection | 062d4348ab76860a48f745cda883db8ab416c250 | [
"MIT"
] | 1 | 2022-01-10T02:45:30.000Z | 2022-01-10T02:45:30.000Z | # Bonaventure F. P. Dossou - MSc in Data Engineering
# Project: RL Approach in Fake News Detection
# Task at hand in this script: Clean a (.csv) dataframe (dataset)
# imports
import pandas as pd
import string
import re
from nltk import word_tokenize
from nltk.corpus import stopwords
# from geograpy import places
true_file_name = "../dataset/True.csv"
fake_file_name = "../dataset/Fake.csv"
true_dataset = pd.read_csv(true_file_name)
true_dataset.dropna(axis=0, how='any', inplace=True)
fake_dataset = pd.read_csv(fake_file_name)
fake_dataset.dropna(axis=0, how='any', inplace=True)
punctuations = string.punctuation
punctuations = punctuations.replace("-", "")
def explode_characters(article):
"""
Task: Explode abbreviations
Args: article: an article
returns: the article with the abbreviations expanded in a proper form
"""
article = re.sub('<u>', '', article)
article = re.sub('</u>', '', article)
article = re.sub('\[', '', article)
article = re.sub('\]', '', article)
article = re.sub('\^', '', article)
article = re.sub('\#', '', article)
article = re.sub('\$', '', article)
article = re.sub('\*', '', article)
article = re.sub(" ’ ", "'", article)
article = re.sub(r"i'm", "i am", article)
article = re.sub(r"he's", "he is", article)
article = re.sub(r"she's", "she is", article)
article = re.sub(r"it's", "it is", article)
article = re.sub(r"that's", "that is", article)
article = re.sub(r"there's", "there is", article)
article = re.sub(r"what's", "what is", article)
article = re.sub(r"where's", "where is", article)
article = re.sub(r"how's", "how is", article)
article = re.sub(r"\'ll", " will", article)
article = re.sub(r"\'ve", " have", article)
article = re.sub(r"\'ve", " have", article)
article = re.sub(r"\'re", " are", article)
article = re.sub(r"\'d", " would", article)
article = re.sub(r"\'re", " are", article)
article = re.sub(r"won't", "will not", article)
article = re.sub(r"can't", "cannot", article)
article = re.sub(r"n't", " not", article)
article = re.sub(r"n'", "ing", article)
article = re.sub(r"'bout", "about", article)
article = re.sub(r"'til", "until", article)
article = re.sub(r"[()\"#/@;:<>{}`+=~|.!?,]", "", article)
return article
def unicodeToAscii(s):
return ''.join(
c for c in unicodedata.normalize('NFD', s)
if unicodedata.category(c) != 'Mn')
def preprocess_sentence(article_):
"""
Task: preprocessed the exploded article by removing punctuations, non-ascii characters etc.
Args: article exploded from explode_characters()
return: cleaned and preprocessed article
"""
article_ = article_.lower().strip()
article_ = explode_characters(article_)
article_ = re.sub(r"([?.!,¿])", r" \1 ", article_)
article_ = re.sub(r"[^a-zA-Z.!?]+", r" ", article_)
article_ = re.sub(r"\s+", r" ", article_).strip()
article_ = re.sub(r'[" "]+', " ", article_)
article_ = ' '.join([word for word in article_.split() if word.isalpha()])
# remove stop words
stop_words = set(stopwords.words('english'))
word_tokens = word_tokenize(article_)
article_ = ' '.join(w.strip() for w in word_tokens if w not in stop_words)
return article_
# Before pre-processing
print("Real articles dataset before cleaning")
print(true_dataset['text'].head(5))
print("\n")
print("Fake articles dataset before cleaning")
print(fake_dataset['text'].head(5))
print("\n")
true_dataset['text'] = true_dataset['text'].apply(preprocess_sentence)
fake_dataset['text'] = fake_dataset['text'].apply(preprocess_sentence)
# After pre-processing
print("Real articles dataset after cleaning")
print(true_dataset['text'].head(5))
print("\n")
print("Fake articles dataset after cleaning")
print(fake_dataset['text'].head(5))
print("\n")
# saving the entire preprocessed dataset
true_dataset.to_csv("../dataset/preprocessed_true.csv", index=False)
fake_dataset.to_csv("../dataset/preprocessed_fake.csv", index=False) | 35.043103 | 95 | 0.647724 | 567 | 4,065 | 4.54321 | 0.268078 | 0.201087 | 0.163043 | 0.243401 | 0.480978 | 0.356755 | 0.233307 | 0.233307 | 0.193323 | 0.163043 | 0 | 0.002074 | 0.169742 | 4,065 | 116 | 96 | 35.043103 | 0.760889 | 0.147847 | 0 | 0.153846 | 0 | 0 | 0.171848 | 0.018768 | 0 | 0 | 0 | 0 | 0 | 1 | 0.038462 | false | 0 | 0.064103 | 0.012821 | 0.141026 | 0.153846 | 0 | 0 | 0 | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
fa7022cd3a8c7679fcdb3a3b88b0a0f8f90cf327 | 628 | py | Python | AzureConnect.py | BK-Uni-Projects/IoT_Python | 7eda60d83ae2d184555f4be5f59e23c8e0bcc2d4 | [
"MIT"
] | null | null | null | AzureConnect.py | BK-Uni-Projects/IoT_Python | 7eda60d83ae2d184555f4be5f59e23c8e0bcc2d4 | [
"MIT"
] | null | null | null | AzureConnect.py | BK-Uni-Projects/IoT_Python | 7eda60d83ae2d184555f4be5f59e23c8e0bcc2d4 | [
"MIT"
] | null | null | null | import requests
import json
def mysensor(sensor):
senseid = {"sensorid": sensor}
return senseid
def AddData(id, type, value):
payload = {"sensorid":id, "sensortype":type, "value":value}
return payload
def getSensorData(reqsensor):
RespGet = requests.get(MainURL+GetURL, params=mysensor(reqsensor))
return RespGet
MainURL='http://bksiotworkshop.azurewebsites.net/index.php'
PostURL='/sensors/postsensordata'
GetURL='/sensors/getsensordata'
def UploadData(sensorid, sensortype, sensorvalue):
RespPost = requests.post(MainURL+PostURL, params=AddData(sensorid, sensortype, sensorvalue))
| 23.259259 | 94 | 0.737261 | 67 | 628 | 6.910448 | 0.522388 | 0.038877 | 0.12527 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.14172 | 628 | 26 | 95 | 24.153846 | 0.858998 | 0 | 0 | 0 | 0 | 0 | 0.20903 | 0.075251 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.125 | 0 | 0.5625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
3afa9521abc326b66cde24e738f4278d45952338 | 946 | py | Python | src/modax/training/losses/.ipynb_checkpoints/utils-checkpoint.py | GJBoth/modax | c7e1c128d4dd48b776f8ec4fa724c2e4b6e13c82 | [
"MIT"
] | 2 | 2021-12-10T14:36:37.000Z | 2022-02-10T11:47:03.000Z | src/modax/training/losses/.ipynb_checkpoints/utils-checkpoint.py | GJBoth/modax | c7e1c128d4dd48b776f8ec4fa724c2e4b6e13c82 | [
"MIT"
] | null | null | null | src/modax/training/losses/.ipynb_checkpoints/utils-checkpoint.py | GJBoth/modax | c7e1c128d4dd48b776f8ec4fa724c2e4b6e13c82 | [
"MIT"
] | 2 | 2020-12-22T14:49:13.000Z | 2021-04-09T08:52:08.000Z | import jax
import jax.numpy as jnp
from jax.scipy.stats import norm
def mse(y_pred, y):
"""Helper fuction to calculate MSE.
"""
def squared_error(y, y_pred):
return jnp.inner(y - y_pred, y - y_pred)
return jnp.mean(jax.vmap(squared_error)(y, y_pred), axis=0)
def normal_LL(x, mu, tau):
# tau = 1 / sigma**2, for numerical reasons.
n_samples = x.shape[0]
mse = jnp.mean((x - mu) ** 2)
# 2 before tau to compensate for 1/2
p = -n_samples / 2 * (tau * mse - jnp.log(tau) + jnp.log(2 * jnp.pi))
return p, mse
def gamma_LL(x, alpha, beta):
# log pdf of gamma dist, dropped constant factors since it can be improper.
p = (alpha - 1) * jnp.log(x) - beta * x
return p
def precision(y, x, alpha, beta):
# calculates precision parameter with a gamma prior
n_samples = y.shape[0]
tau = (n_samples + 2 * (alpha - 1)) / (jnp.linalg.norm(y - x) ** 2 + 2 * beta)
return tau
| 25.567568 | 82 | 0.613108 | 162 | 946 | 3.5 | 0.401235 | 0.044092 | 0.042328 | 0.049383 | 0.10582 | 0 | 0 | 0 | 0 | 0 | 0 | 0.022567 | 0.250529 | 946 | 36 | 83 | 26.277778 | 0.777151 | 0.2537 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.263158 | false | 0 | 0.157895 | 0.052632 | 0.684211 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
d704cb054c560656e280923fda0403a0e8c5ab58 | 598 | py | Python | tests/test_datasets.py | v715/popcon | b0874d68c0051cae6971710521a4031c16c54b12 | [
"Apache-2.0"
] | 1 | 2020-08-06T17:49:26.000Z | 2020-08-06T17:49:26.000Z | tests/test_datasets.py | v715/popcon | b0874d68c0051cae6971710521a4031c16c54b12 | [
"Apache-2.0"
] | null | null | null | tests/test_datasets.py | v715/popcon | b0874d68c0051cae6971710521a4031c16c54b12 | [
"Apache-2.0"
] | null | null | null | import pytest
from popcon.datasets import load_mice
def test_mice():
# Load the mouse dataset
mice = load_mice()
# Split population by genotype
_, btbr = mice.multigraph.query("genotype == 'BTBR'")
_, b6 = mice.multigraph.query("genotype == 'B6'")
_, cast = mice.multigraph.query("genotype == 'CAST'")
_, dba2 = mice.multigraph.query("genotype == 'DBA2'")
assert mice.multigraph.participants.shape == (32, 3)
assert mice.metrics.shape == (32 * 333, 11)
assert mice.blocks.shape == (14, 4)
assert len(btbr) == len(b6) == len(cast) == len(dba2) == 8
| 28.47619 | 62 | 0.635452 | 76 | 598 | 4.907895 | 0.460526 | 0.187668 | 0.203753 | 0.289544 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.042017 | 0.204013 | 598 | 20 | 63 | 29.9 | 0.741597 | 0.085284 | 0 | 0 | 0 | 0 | 0.128676 | 0 | 0 | 0 | 0 | 0 | 0.333333 | 1 | 0.083333 | false | 0 | 0.166667 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
d713b3463e8b0d9c675736b4c1100aa9e514d3c9 | 2,183 | py | Python | tests/test_compress.py | elkinsd/couchapp | 944797b03e4dfb2a5fbd0b5710568104e3775b31 | [
"Apache-2.0"
] | 224 | 2015-01-03T13:35:56.000Z | 2022-02-13T14:27:17.000Z | tests/test_compress.py | elkinsd/couchapp | 944797b03e4dfb2a5fbd0b5710568104e3775b31 | [
"Apache-2.0"
] | 79 | 2015-03-11T15:28:00.000Z | 2022-02-17T13:53:46.000Z | tests/test_compress.py | elkinsd/couchapp | 944797b03e4dfb2a5fbd0b5710568104e3775b31 | [
"Apache-2.0"
] | 56 | 2015-01-03T13:37:22.000Z | 2022-01-11T08:33:38.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# This software is licensed as described in the file LICENSE, which
# you should have received as part of this distribution.
import unittest2 as unittest
import mock
import os
class CompressTest(unittest.TestCase):
def test_compress_js(self):
from couchapp.config import Config
config = Config()
config.conf['compress'] = {'js': {'foo':['shows/example-show.js']}}
with mock.patch('couchapp.hooks.compress.default.compress', return_value='foo') as mock_compress:
from couchapp.hooks.compress import Compress
compress = Compress(os.path.join(os.path.dirname(__file__), 'testapp'))
compress.conf = config
with mock.patch('couchapp.util.write'):
compress.run()
self.assertTrue(mock_compress.called, 'Default compressor has been called')
def test_our_jsmin_loading(self):
orig_import = __import__
def import_mock(name, *args):
if name == 'jsmin':
raise ImportError()
return orig_import(name, *args)
with mock.patch('__builtin__.__import__', side_effect=import_mock):
with mock.patch('couchapp.hooks.compress.jsmin.jsmin', return_value='foo'):
from couchapp.hooks.compress import default
result = default.compress('bar')
self.assertEqual(result, 'foo', 'Our module is called when it is not installed in the system')
def test_system_jsmin_loading(self):
orig_import = __import__
def import_mock(name, *args):
if name == 'couchapp.hooks.compress.jsmin':
raise ImportError()
return orig_import(name, *args)
with mock.patch('__builtin__.__import__', side_effect=import_mock):
with mock.patch('jsmin.jsmin', return_value='foo'):
from couchapp.hooks.compress import default
result = default.compress('bar')
self.assertEqual(result, 'foo', 'The system module is called when it is installed')
if __name__ == "__main__":
# import sys;sys.argv = ['', 'Test.testName']
unittest.main()
| 38.298246 | 105 | 0.640861 | 259 | 2,183 | 5.173745 | 0.343629 | 0.035821 | 0.058209 | 0.047015 | 0.504478 | 0.481343 | 0.407463 | 0.407463 | 0.407463 | 0.407463 | 0 | 0.001218 | 0.247824 | 2,183 | 56 | 106 | 38.982143 | 0.81486 | 0.094824 | 0 | 0.358974 | 0 | 0 | 0.2 | 0.085787 | 0 | 0 | 0 | 0 | 0.076923 | 1 | 0.128205 | false | 0 | 0.435897 | 0 | 0.641026 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
d71c31b14c19cfcb4d90c252a380c9ffe98fe7af | 8,517 | py | Python | src/the_tale/the_tale/game/bills/tests/test_road_change.py | Alacrate/the-tale | 43b211f3a99e93964e95abc20a8ed649a205ffcf | [
"BSD-3-Clause"
] | 85 | 2017-11-21T12:22:02.000Z | 2022-03-27T23:07:17.000Z | src/the_tale/the_tale/game/bills/tests/test_road_change.py | Alacrate/the-tale | 43b211f3a99e93964e95abc20a8ed649a205ffcf | [
"BSD-3-Clause"
] | 545 | 2017-11-04T14:15:04.000Z | 2022-03-27T14:19:27.000Z | src/the_tale/the_tale/game/bills/tests/test_road_change.py | Alacrate/the-tale | 43b211f3a99e93964e95abc20a8ed649a205ffcf | [
"BSD-3-Clause"
] | 45 | 2017-11-11T12:36:30.000Z | 2022-02-25T06:10:44.000Z |
import smart_imports
smart_imports.all()
class RoadChangeTests(helpers.BaseTestPrototypes):
def setUp(self):
super().setUp()
self.new_path = 'rddr'
self.old_road = roads_logic.road_between_places(self.place1, self.place2)
self.assertNotEqual(self.new_path, self.old_road.path)
self.bill_data = bills.road_change.RoadChange(place_1_id=self.place1.id,
place_2_id=self.place2.id,
path=self.new_path)
self.bill = prototypes.BillPrototype.create(self.account1,
'bill-1-caption', self.bill_data,
chronicle_on_accepted='chronicle-on-accepted')
def test_create(self):
self.assertEqual(self.bill.data.place_1_id, self.place1.id)
self.assertEqual(self.bill.data.place_2_id, self.place2.id)
self.assertEqual(self.bill.data.path, self.new_path)
self.assertEqual(self.bill.data.old_place_1_name_forms, self.place1.utg_name)
self.assertEqual(self.bill.data.old_place_2_name_forms, self.place2.utg_name)
self.assertEqual(self.bill.data.old_path, self.old_road.path)
self.assertEqual(self.bill.data.place_1.id, self.place1.id)
self.assertEqual(self.bill.data.place_2.id, self.place2.id)
self.assertEqual(self.bill.data.old_place_1_name, self.place1.utg_name.normal_form())
self.assertEqual(self.bill.data.old_place_2_name, self.place2.utg_name.normal_form())
self.assertFalse(self.bill.data.place_1_name_changed)
self.assertFalse(self.bill.data.place_2_name_changed)
def test_user_form_initials(self):
self.assertEqual(self.bill.data.user_form_initials(),
{'place_1': self.bill.data.place_1_id,
'place_2': self.bill.data.place_2_id,
'path': self.bill.data.path})
def test_actors(self):
self.assertEqual(set(id(a) for a in self.bill_data.actors), set([id(self.place1), id(self.place2)]))
def test_update(self):
form = self.bill.data.get_user_form_update(post={'caption': 'new-caption',
'chronicle_on_accepted': 'chronicle-on-accepted-2',
'place_1': self.place2.id,
'place_2': self.place3.id,
'path': 'luld'})
self.assertTrue(form.is_valid())
self.bill.update(form)
self.bill = prototypes.BillPrototype.get_by_id(self.bill.id)
old_road = roads_logic.road_between_places(self.place2, self.place3)
self.assertEqual(self.bill.data.place_1_id, self.place2.id)
self.assertEqual(self.bill.data.place_2_id, self.place3.id)
self.assertEqual(self.bill.data.path, 'luld')
self.assertEqual(self.bill.data.old_place_1_name_forms, self.place2.utg_name)
self.assertEqual(self.bill.data.old_place_2_name_forms, self.place3.utg_name)
self.assertEqual(self.bill.data.old_path, old_road.path)
self.assertEqual(self.bill.data.place_1.id, self.place2.id)
self.assertEqual(self.bill.data.place_2.id, self.place3.id)
self.assertEqual(self.bill.data.old_place_1_name, self.place2.utg_name.normal_form())
self.assertEqual(self.bill.data.old_place_2_name, self.place3.utg_name.normal_form())
self.assertFalse(self.bill.data.place_2_name_changed)
self.assertFalse(self.bill.data.place_1_name_changed)
def test_form_validation__success(self):
form = self.bill.data.get_user_form_update(post={'caption': 'long caption',
'chronicle_on_accepted': 'chronicle-on-accepted',
'place_1': self.place1.id,
'place_2': self.place2.id,
'path': self.new_path})
self.assertTrue(form.is_valid())
def test_form_validation__wrong_end_place(self):
form = self.bill.data.get_user_form_update(post={'caption': 'long caption',
'chronicle_on_accepted': 'chronicle-on-accepted',
'place_1': self.place1.id,
'place_2': self.place3.id,
'path': 'drrd'})
self.assertFalse(form.is_valid())
def test_user_form_validation__not_exists(self):
self.assertEqual(roads_logic.road_between_places(self.place1, self.place3), None)
form = self.bill.data.get_user_form_update(post={'caption': 'long caption',
'chronicle_on_accepted': 'chronicle-on-accepted',
'place_1': self.place1.id,
'place_2': self.place3.id,
'path': 'rdrd'})
self.assertFalse(form.is_valid())
@mock.patch('the_tale.game.roads.logic.is_path_suitable_for_road',
lambda **kwargs: roads_relations.ROAD_PATH_ERRORS.random(exclude=[roads_relations.ROAD_PATH_ERRORS.NO_ERRORS]))
def test_user_form_validation__bad_path(self):
form = self.bill.data.get_user_form_update(post={'caption': 'long caption',
'chronicle_on_accepted': 'chronicle-on-accepted',
'place_1': self.place1.id,
'place_2': self.place2.id,
'path': self.new_path})
self.assertFalse(form.is_valid())
@mock.patch('the_tale.game.bills.conf.settings.MIN_VOTES_PERCENT', 0.6)
@mock.patch('the_tale.game.bills.prototypes.BillPrototype.time_before_voting_end', datetime.timedelta(seconds=0))
def apply_bill(self):
prototypes.VotePrototype.create(self.account2, self.bill, relations.VOTE_TYPE.AGAINST)
prototypes.VotePrototype.create(self.account3, self.bill, relations.VOTE_TYPE.FOR)
data = self.bill.user_form_initials
data['approved'] = True
form = self.bill.data.get_moderator_form_update(data)
self.assertTrue(form.is_valid())
self.bill.update_by_moderator(form, self.account1)
self.assertTrue(self.bill.apply())
def test_apply(self):
old_storage_version = roads_storage.roads._version
with self.check_not_changed(lambda: len(roads_storage.roads.all())):
self.apply_bill()
self.assertNotEqual(old_storage_version, roads_storage.roads._version)
bill = prototypes.BillPrototype.get_by_id(self.bill.id)
self.assertTrue(bill.state.is_ACCEPTED)
road = roads_logic.road_between_places(self.place1, self.place2)
self.assertEqual(road.path, self.new_path)
def test_has_meaning__not_exists(self):
bill_data = bills.road_change.RoadChange(place_1_id=self.place1.id,
place_2_id=self.place3.id,
path='rdrd')
bill = prototypes.BillPrototype.create(self.account1, 'bill-1-caption', bill_data,
chronicle_on_accepted='chronicle-on-accepted')
self.assertFalse(bill.has_meaning())
@mock.patch('the_tale.game.roads.logic.is_path_suitable_for_road',
lambda **kwargs: roads_relations.ROAD_PATH_ERRORS.random(exclude=[roads_relations.ROAD_PATH_ERRORS.NO_ERRORS]))
def test_has_meaning__wrong_path(self):
bill_data = bills.road_change.RoadChange(place_1_id=self.place1.id,
place_2_id=self.place2.id,
path=self.new_path)
bill = prototypes.BillPrototype.create(self.account1, 'bill-1-caption', bill_data,
chronicle_on_accepted='chronicle-on-accepted')
self.assertFalse(bill.has_meaning())
| 49.807018 | 127 | 0.581073 | 985 | 8,517 | 4.751269 | 0.122843 | 0.083761 | 0.1 | 0.103205 | 0.782051 | 0.738675 | 0.709615 | 0.675641 | 0.628205 | 0.563675 | 0 | 0.01627 | 0.31443 | 8,517 | 170 | 128 | 50.1 | 0.785237 | 0 | 0 | 0.373984 | 0 | 0 | 0.090535 | 0.058126 | 0 | 0 | 0 | 0 | 0.325203 | 1 | 0.105691 | false | 0 | 0.01626 | 0 | 0.130081 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
d71cb68f9bdc1071b4aafeec40b87a85c10fe5e7 | 383 | py | Python | custom_layers/pad_layer.py | bobenxia/Centripetal-SGD | e33350464504085a641a2a969d3c06e3d5cc4765 | [
"Apache-2.0"
] | 767 | 2019-10-08T01:32:47.000Z | 2022-03-27T14:39:44.000Z | custom_layers/pad_layer.py | ShawnDing1994/ACNet | 9586a269d7065805aafb8f1d69d425e84cec55f1 | [
"MIT"
] | 48 | 2019-11-04T12:05:15.000Z | 2021-11-28T06:50:30.000Z | custom_layers/pad_layer.py | ShawnDing1994/ACNet | 9586a269d7065805aafb8f1d69d425e84cec55f1 | [
"MIT"
] | 140 | 2019-10-29T07:49:24.000Z | 2022-03-27T13:01:22.000Z | import torch.nn as nn
import torch.nn.functional as F
class PadLayer(nn.Module):
# E.g., (-1, 0) means this layer should crop the first and last rows of the feature map. And (0, -1) crops the first and last columns
def __init__(self, pad):
super(PadLayer, self).__init__()
self.pad = pad
def forward(self, input):
F.pad(input, [self.pad] * 4) | 31.916667 | 139 | 0.644909 | 63 | 383 | 3.793651 | 0.571429 | 0.087866 | 0.108787 | 0.125523 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017182 | 0.240209 | 383 | 12 | 140 | 31.916667 | 0.804124 | 0.342037 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.25 | 0 | 0.625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
d721feae5478cacb7636788cfeec491dc6623a53 | 711 | py | Python | groundstation/broadcast_discoverer.py | richo/groundstation | 7ed48dd355051ee6b71164fc801e3893c09d11db | [
"MIT"
] | 26 | 2015-06-18T20:17:07.000Z | 2019-09-26T09:55:35.000Z | groundstation/broadcast_discoverer.py | richo/groundstation | 7ed48dd355051ee6b71164fc801e3893c09d11db | [
"MIT"
] | null | null | null | groundstation/broadcast_discoverer.py | richo/groundstation | 7ed48dd355051ee6b71164fc801e3893c09d11db | [
"MIT"
] | 5 | 2015-07-20T01:52:47.000Z | 2017-01-08T09:54:07.000Z | import socket
from sockets.broadcast_socket import BroadcastSocket
import logger
log = logger.getLogger(__name__)
class BroadcastDiscoverer(BroadcastSocket):
def __init__(self, port):
super(BroadcastDiscoverer, self).__init__()
self.socket.bind(('0.0.0.0', port))
def __del__(self):
"Shutdown and close the underlying socket."
self._sock.close()
@property
def timeout(self):
'Receive timeout'
return self._sock.gettimeout()
@timeout.setter
def timeout(self, value):
self._sock.settimeout(value)
def recv(self, size):
"Receive a broadcast through the underlying socket."
return self._sock.recvfrom(size)
| 23.7 | 60 | 0.673699 | 81 | 711 | 5.654321 | 0.481481 | 0.069869 | 0.0131 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007273 | 0.226442 | 711 | 29 | 61 | 24.517241 | 0.825455 | 0.151899 | 0 | 0 | 0 | 0 | 0.159155 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.238095 | false | 0 | 0.142857 | 0 | 0.52381 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
d722485ae10f9a522da2ef41afd138479c7a923b | 219 | py | Python | falkon/ooc_ops/__init__.py | fwilliams/falkon | 26deb0aeeaa867ac370b9316bdfa4f4a1160b3e6 | [
"MIT"
] | 1 | 2021-11-10T16:50:53.000Z | 2021-11-10T16:50:53.000Z | falkon/ooc_ops/__init__.py | fwilliams/falkon | 26deb0aeeaa867ac370b9316bdfa4f4a1160b3e6 | [
"MIT"
] | null | null | null | falkon/ooc_ops/__init__.py | fwilliams/falkon | 26deb0aeeaa867ac370b9316bdfa4f4a1160b3e6 | [
"MIT"
] | null | null | null | try:
from .ooc_lauum import gpu_lauum
from .ooc_potrf import gpu_cholesky
except (OSError, ModuleNotFoundError):
# No GPU
gpu_lauum = None
gpu_cholesky = None
__all__ = ("gpu_lauum", "gpu_cholesky") | 24.333333 | 39 | 0.712329 | 29 | 219 | 4.965517 | 0.482759 | 0.166667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.205479 | 219 | 9 | 40 | 24.333333 | 0.827586 | 0.027397 | 0 | 0 | 0 | 0 | 0.099057 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.285714 | 0 | 0.285714 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
d7389fa33af8ef8bf4ec941edbc596f33da32e3b | 1,569 | py | Python | gap.py | BakaBBQ/gap | b133cb0d57a04d8750d66e5c46125fe7d9edc4bf | [
"MIT"
] | null | null | null | gap.py | BakaBBQ/gap | b133cb0d57a04d8750d66e5c46125fe7d9edc4bf | [
"MIT"
] | null | null | null | gap.py | BakaBBQ/gap | b133cb0d57a04d8750d66e5c46125fe7d9edc4bf | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import urllib
import urllib2
import argparse
import spur
import os
parser = argparse.ArgumentParser(description="retrieve a file from a server")
parser.add_argument('server', metavar='server', help='server in favor of user@host')
parser.add_argument('file_url', metavar='file_url')
parser.add_argument('-n', metavar='filename', default='',help='the final filename of the downloaded file')
parser.add_argument('-p', metavar='password', help='ssh password', required=True)
args = parser.parse_args()
host = args.server.split('@')[1]
user = args.server.split('@')[0]
if '' == args.n:
args.n = args.file_url.split('/')[-1]
def remote_retrieve_file():
shell = spur.SshShell(hostname=host, username=user, password=args.p)
with shell:
com = """import urllib
urllib.urlretrieve('{url}', '{file}')
print 'finished'
"""
com = com.format(url=args.file_url, file=args.n)
print com
result = shell.run(["python", '-c', com])
print result.output
def curl_file():
shell = spur.LocalShell()
cmd = "curl -o {filename} sftp://{user}:{password}@{host}/~/{filename}".format(filename=args.n, user=user, host=host, password=args.p)
os.system(cmd)
print cmd
def clean_trash():
shell = spur.SshShell(hostname=host, username=user, password=args.p)
with shell:
result = shell.run(["rm", args.n])
print result.output
#the server will fetch the file
remote_retrieve_file()
#then your computer gets it from the server
curl_file()
#server trash cleanup
clean_trash()
| 28.527273 | 138 | 0.681326 | 220 | 1,569 | 4.781818 | 0.354545 | 0.023764 | 0.064639 | 0.047529 | 0.119772 | 0.119772 | 0.119772 | 0.119772 | 0.119772 | 0.119772 | 0 | 0.00304 | 0.161249 | 1,569 | 54 | 139 | 29.055556 | 0.796353 | 0.071383 | 0 | 0.153846 | 0 | 0 | 0.21404 | 0.048864 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.102564 | 0.153846 | null | null | 0.128205 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
d739ec32c1366663f8e0014aff0d0aab644da947 | 611 | py | Python | src/server/master/master_manager/change_password.py | dpaola2/djangy | 4b10e681cb49e5c16aba4429dfbfadfd9b512463 | [
"NCSA"
] | 15 | 2015-02-14T02:39:04.000Z | 2021-12-13T14:17:15.000Z | src/server/master/master_manager/change_password.py | ojengwa/djangy | 4b10e681cb49e5c16aba4429dfbfadfd9b512463 | [
"NCSA"
] | null | null | null | src/server/master/master_manager/change_password.py | ojengwa/djangy | 4b10e681cb49e5c16aba4429dfbfadfd9b512463 | [
"NCSA"
] | 11 | 2015-08-07T11:47:02.000Z | 2021-04-29T08:08:24.000Z | import sys
from hashlib import md5
from management_database import User
def hash_password(email, password):
return md5("%s:%s" % (email, password)).hexdigest()
def main(email, password):
try:
user = User.get_by_email(email)
user.passwd = hash_password(email, password)
user.save()
except Exception as e:
print "Exception: %s" % e
print "Success."
if __name__ == '__main__':
if len(sys.argv) < 3:
print "Usage: python change_password.py <email> <new_password>"
email = str(sys.argv[1])
password = str(sys.argv[2])
main(email, password)
| 25.458333 | 71 | 0.646481 | 82 | 611 | 4.634146 | 0.487805 | 0.171053 | 0.089474 | 0.131579 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010593 | 0.227496 | 611 | 23 | 72 | 26.565217 | 0.794492 | 0 | 0 | 0 | 0 | 0 | 0.145663 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.368421 | 0.157895 | null | null | 0.157895 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
d74c61016501e6ac4b0e3407fce3c76d6a388c16 | 90 | py | Python | output/models/ms_data/regex/myanmar_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 1 | 2021-08-14T17:59:21.000Z | 2021-08-14T17:59:21.000Z | output/models/ms_data/regex/myanmar_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 4 | 2020-02-12T21:30:44.000Z | 2020-04-15T20:06:46.000Z | output/models/ms_data/regex/myanmar_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | null | null | null | from output.models.ms_data.regex.myanmar_xsd.myanmar import Doc
__all__ = [
"Doc",
]
| 15 | 63 | 0.722222 | 13 | 90 | 4.538462 | 0.846154 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.155556 | 90 | 5 | 64 | 18 | 0.776316 | 0 | 0 | 0 | 0 | 0 | 0.033333 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
d77fe952058c784f76973734ce34ffc2765b9d43 | 117 | py | Python | aiourlshortener/__init__.py | das7pad/aiourlshortener | 457e6ceb2d2674a60dbca455e214b52c0a3ed484 | [
"MIT"
] | 3 | 2018-02-02T07:08:59.000Z | 2021-01-23T17:01:19.000Z | aiourlshortener/__init__.py | das7pad/aiourlshortener | 457e6ceb2d2674a60dbca455e214b52c0a3ed484 | [
"MIT"
] | 7 | 2018-01-28T15:38:55.000Z | 2018-03-31T12:34:44.000Z | aiourlshortener/__init__.py | das7pad/aiourlshortener | 457e6ceb2d2674a60dbca455e214b52c0a3ed484 | [
"MIT"
] | 1 | 2018-01-27T13:21:13.000Z | 2018-01-27T13:21:13.000Z | from .shorteners import Shortener, Shorteners
__version__ = '0.0.3'
__author__ = 'Chirag Patel'
__license__ = 'MIT'
| 19.5 | 45 | 0.752137 | 14 | 117 | 5.428571 | 0.857143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.029703 | 0.136752 | 117 | 5 | 46 | 23.4 | 0.722772 | 0 | 0 | 0 | 0 | 0 | 0.17094 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
d78b711b403b547eedf363063cb0c6ac808aa5f2 | 135 | py | Python | output/models/ms_data/identity_constraint/id_g001_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 1 | 2021-08-14T17:59:21.000Z | 2021-08-14T17:59:21.000Z | output/models/ms_data/identity_constraint/id_g001_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 4 | 2020-02-12T21:30:44.000Z | 2020-04-15T20:06:46.000Z | output/models/ms_data/identity_constraint/id_g001_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | null | null | null | from output.models.ms_data.identity_constraint.id_g001_xsd.id_g001 import (
Root,
Uid,
)
__all__ = [
"Root",
"Uid",
]
| 13.5 | 75 | 0.644444 | 18 | 135 | 4.333333 | 0.777778 | 0.153846 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.057143 | 0.222222 | 135 | 9 | 76 | 15 | 0.685714 | 0 | 0 | 0 | 0 | 0 | 0.051852 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.125 | 0 | 0.125 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
d79167e89e926007816c6a460257c0bed5504a94 | 5,829 | py | Python | tests/test_distance.py | rionbr/distanceclosure | f773af27e11112fc2a71fe7eaed7f56d8835ed9d | [
"MIT"
] | 9 | 2016-02-12T22:09:47.000Z | 2022-02-17T17:02:37.000Z | tests/test_distance.py | rionbr/distanceclosure | f773af27e11112fc2a71fe7eaed7f56d8835ed9d | [
"MIT"
] | 3 | 2022-01-13T15:09:35.000Z | 2022-02-14T13:50:28.000Z | tests/test_distance.py | rionbr/distanceclosure | f773af27e11112fc2a71fe7eaed7f56d8835ed9d | [
"MIT"
] | 3 | 2017-10-27T16:42:41.000Z | 2022-01-20T08:54:51.000Z | from distanceclosure.distance import pairwise_proximity, _jaccard_coef_scipy, _jaccard_coef_binary, _jaccard_coef_set, _jaccard_coef_weighted_numpy
import numpy as np
from scipy.sparse import csr_matrix
B = np.array([
[1, 1, 1, 1],
[1, 1, 1, 0],
[1, 1, 0, 0],
[1, 0, 0, 0],
])
N = np.array([
[2, 3, 4, 2],
[2, 3, 4, 2],
[2, 3, 3, 2],
[2, 1, 3, 4]
])
W = np.array([
[4, 3, 2, 1],
[3, 2, 1, 0],
[2, 1, 0, 0],
[1, 0, 0, 0],
])
def test_jaccard_scipy():
""" Test Jaccard: scipy.spatial.dist.jaccard """
u = np.array([2, 3, 4, 5])
v = np.array([2, 3, 4, 2])
d = _jaccard_coef_scipy(u, v, min_support=1)
assert (d == 0.75)
def test_jaccard_binary():
""" Test Jaccard: binary (bitwise) coef """
u = np.array([1, 1, 1, 1])
v = np.array([1, 1, 1, 0])
d = _jaccard_coef_binary(u, v, min_support=1)
assert (d == 0.75)
def test_jaccard_set():
""" Test Jaccard: set coef """
u = np.array([4, 3, 2, 1])
v = np.array([3, 2, 1, 0])
d = _jaccard_coef_set(u, v, min_support=1)
assert (d == 0.6)
def test_jaccard_weighted():
""" Test Jaccard: weighted coef """
u = np.array([4, 3, 2, 1])
v = np.array([3, 2, 1, 0])
d = _jaccard_coef_weighted_numpy(u, v, min_support=1)
assert (d == 0.6)
def test_pairwise_distance_numpy_scipy():
""" Test pairwise distance: using the Numpy (dense matrix) implemmentation for numer jaccard (scipy) coef """
D = pairwise_proximity(N, metric='jaccard')
true = np.array([
[1., 1., 0.75, 0.25],
[1., 1., 0.75, 0.25],
[0.75, 0.75, 1., 0.5],
[0.25, 0.25, 0.5, 1.]], dtype=float)
assert np.isclose(D, true). all()
def test_pairwise_distance_numpy_binary():
""" Test pairwise distance: using the Numpy (dense matrix) implementation for jaccard binary coef """
D = pairwise_proximity(B, metric='jaccard_binary', min_support=1, verbose=True)
true = np.array([
[1., 0.75, 0.5, 0.25],
[0.75, 1., 0.66666667, 0.33333333],
[0.5, 0.66666667, 1., 0.5],
[0.25, 0.33333333, 0.5, 1.]], dtype=float)
assert np.isclose(D, true).all()
def test_pairwise_distance_numpy_set():
""" Test pairwise distance: using the Numpy (dense matrix) implementation for jaccard set coef """
D = pairwise_proximity(W, metric='jaccard_set', min_support=1)
true = np.array([
[1., 0.6, 0.4, 0.2],
[0.6, 1., 0.75, 0.5],
[0.4, 0.75, 1., 0.66666667],
[0.2, 0.5, 0.66666667, 1.]], dtype=float)
assert np.isclose(D, true).all()
def test_pairwise_distance_numpy_weighted():
""" Test pairwise distance: using Numpy (dense matrix) using weighted jaccard """
D = pairwise_proximity(W, metric='weighted_jaccard', min_support=10)
true = np.array([
[1., 0.6, 0.3, 0.1],
[0.6, 1., 0., 0.],
[0.3, 0., 1., 0.],
[0.1, 0., 0., 1.]], dtype=float)
assert np.isclose(D, true).all()
def test_pairwise_distance_sparse_scipy():
""" Test pairwise distance: using the Scipy (sparse matrix) implemmentation for jaccard scipy coef """
N_sparse = csr_matrix(N)
D = pairwise_proximity(N_sparse, metric='jaccard', min_support=1)
true = np.array([
[1., 1., 0.75, 0.25],
[1., 1., 0.75, 0.25],
[0.75, 0.75, 1., 0.5],
[0.25, 0.25, 0.5, 1.]], dtype=float)
assert np.isclose(D.todense(), true). all()
def test_pairwise_distance_sparse_binary():
""" Test pairwise distance: using the Scipy (sparse matrix) implementation for jaccard bitwise coef """
B_sparse = csr_matrix(B)
D = pairwise_proximity(B_sparse, metric='jaccard_binary', min_support=1)
true = np.array([
[1., 0.75, 0.5, 0.25],
[0.75, 1., 0.66666667, 0.33333333],
[0.5, 0.66666667, 1., 0.5],
[0.25, 0.33333333, 0.5, 1.]], dtype=float)
assert np.isclose(D.todense(), true).all()
def test_pairwise_distance_sparse_set():
""" Test pairwise distance: using the Scipy (sparse matrix) implementation for jaccard set coef """
W_sparse = csr_matrix(W)
D = pairwise_proximity(W_sparse, metric='jaccard_set', min_support=1)
true = np.array([
[1., 0.75, 0.5, 0.25],
[0.75, 1., 0.66666667, 0.33333333],
[0.5, 0.66666667, 1., 0.5],
[0.25, 0.33333333, 0.5, 1.]], dtype=float)
assert np.isclose(D.todense(), true).all()
def test_pairwise_distance_sparse_weighted():
""" Test pairwise distance: using the Scipy (sparse matrix) implementation for jaccard weighted coef """
W_sparse = csr_matrix(W)
D = pairwise_proximity(W_sparse, metric='jaccard_weighted', min_support=1)
true = np.array([
[1., 0.6, 0.3, 0.1],
[0.6, 1., 0., 0.],
[0.3, 0., 1., 0.],
[0.1, 0., 0., 1.]], dtype=float)
assert np.isclose(D.todense(), true).all()
def test_pairwise_distance_dense_my_own_metric():
""" Test pairwise distance: using the numpy (dense matrix) implementation and my own metric function """
def my_coef(u, v):
return 0.25
D = pairwise_proximity(W, metric=my_coef, verbose=True)
true = np.array([
[1., .25, .25, .25],
[.25, 1., .25, .25],
[.25, .25, 1., .25],
[.25, .25, .25, 1.]], dtype=float)
assert np.isclose(D, true).all()
def test_pairwise_distance_sparse_my_own_metric():
""" Test pairwise distance: using the Scipy (sparse matrix) implementation and my own metric function """
def my_coef(u, v):
return 0.25
W_sparse = csr_matrix(W)
D = pairwise_proximity(W_sparse, metric=('indices', my_coef), verbose=True)
true = np.array([
[1., .25, .25, .25],
[.25, 1., .25, .25],
[.25, .25, 1., .25],
[.25, .25, .25, 1.]], dtype=float)
assert np.isclose(D.todense(), true).all()
| 32.383333 | 147 | 0.587236 | 921 | 5,829 | 3.579805 | 0.071661 | 0.022445 | 0.121322 | 0.06976 | 0.786473 | 0.733394 | 0.677889 | 0.670306 | 0.636639 | 0.613285 | 0 | 0.111807 | 0.232802 | 5,829 | 179 | 148 | 32.564246 | 0.625447 | 0.184594 | 0 | 0.6 | 0 | 0 | 0.02207 | 0 | 0 | 0 | 0 | 0 | 0.107692 | 1 | 0.123077 | false | 0 | 0.023077 | 0.015385 | 0.161538 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
ad11fd7e89e6fdb4e2f78714134c097905da987e | 1,124 | py | Python | testes/teste_pontos.py | nanapereira/python-introducao | 092fdf775c680149df3e329d832b7c4d120b19be | [
"MIT"
] | null | null | null | testes/teste_pontos.py | nanapereira/python-introducao | 092fdf775c680149df3e329d832b7c4d120b19be | [
"MIT"
] | null | null | null | testes/teste_pontos.py | nanapereira/python-introducao | 092fdf775c680149df3e329d832b7c4d120b19be | [
"MIT"
] | null | null | null | import unittest
def remove_pontos(palavra):
resultado = palavra.split('.')
return "".join(resultado)
def adiciona_pontos(palavra):
resultado = list(palavra)
return ".".join(resultado)
class RemovePontosTest(unittest.TestCase):
def test_com_pontos(self):
esperado = "teste"
resultado = remove_pontos("t.e.s.t.e")
self.assertEqual(esperado, resultado)
def test_com_outros_pontos(self):
esperado = "virginia"
resultado = remove_pontos("v.i.r.g.i.n.i.a")
self.assertEqual(esperado, resultado)
def test_sem_pontos(self):
esperado = "nana"
resultado = remove_pontos("nana")
self.assertEqual(esperado, resultado)
class AdicionaPontosTest(unittest.TestCase):
def test_com_pontos(self):
esperado = "t.e.s.t.e"
resultado = adiciona_pontos("teste")
self.assertEqual(esperado, resultado)
def test_com_outros_pontos(self):
esperado = "d.o.u.g.l.a.s"
resultado = adiciona_pontos("douglas")
self.assertEqual(esperado, resultado)
if __name__ == '__main__':
unittest.main() | 28.820513 | 52 | 0.661032 | 133 | 1,124 | 5.383459 | 0.323308 | 0.048883 | 0.125698 | 0.223464 | 0.375698 | 0.361732 | 0.307263 | 0.307263 | 0.184358 | 0.184358 | 0 | 0 | 0.215302 | 1,124 | 39 | 53 | 28.820513 | 0.811791 | 0 | 0 | 0.290323 | 0 | 0 | 0.079111 | 0 | 0 | 0 | 0 | 0 | 0.16129 | 1 | 0.225806 | false | 0 | 0.032258 | 0 | 0.387097 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
ad1bfb7a43f3d893acaa48b26237faea58b95632 | 644 | py | Python | {{cookiecutter.project_slug}}/run.py | bwrsandman/cookiecutter-tornado | 94f9ce23de3f65c84bd20ca1bff3f775ae8880b2 | [
"MIT"
] | null | null | null | {{cookiecutter.project_slug}}/run.py | bwrsandman/cookiecutter-tornado | 94f9ce23de3f65c84bd20ca1bff3f775ae8880b2 | [
"MIT"
] | null | null | null | {{cookiecutter.project_slug}}/run.py | bwrsandman/cookiecutter-tornado | 94f9ce23de3f65c84bd20ca1bff3f775ae8880b2 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Basic run script"""
import tornado.httpserver
import tornado.ioloop
import tornado.options
import tornado.web
import tornado.autoreload
from tornado.options import options
import tornado.web
from settings import settings
from {{ cookiecutter.project_slug }}.urls import url_patterns
class TornadoApplication(tornado.web.Application):
def __init__(self):
tornado.web.Application.__init__(self, url_patterns, **settings)
def main():
app = TornadoApplication()
app.listen(options.port)
tornado.ioloop.IOLoop.current().start()
if __name__ == "__main__":
main()
| 20.125 | 72 | 0.73913 | 78 | 644 | 5.858974 | 0.5 | 0.170678 | 0.087527 | 0.100656 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001815 | 0.14441 | 644 | 31 | 73 | 20.774194 | 0.827586 | 0.065217 | 0 | 0.111111 | 0 | 0 | 0.013841 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.5 | null | null | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
ad20020ffdc1081bd8832fee449e6a1bc337c282 | 471 | py | Python | login.py | nishthapant/cgi-lab | 3fed251f8b62e6e307f3fc7836e1a1a0c8caf861 | [
"Apache-2.0"
] | null | null | null | login.py | nishthapant/cgi-lab | 3fed251f8b62e6e307f3fc7836e1a1a0c8caf861 | [
"Apache-2.0"
] | null | null | null | login.py | nishthapant/cgi-lab | 3fed251f8b62e6e307f3fc7836e1a1a0c8caf861 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
import cgi, cgitb
import secret
from templates import secret_page
# instance of FieldStorage
form = cgi.FieldStorage()
# get data from fields
username = form.getvalue('username')
password = form.getvalue('password')
if(username == secret.username and password == secret.password):
print("Set-Cookie: username=%s\r\nSet-Cookie: password=%s\r\nContent-type: text/html\r\n\r\n" % (username, password))
print(secret_page(username, password)) | 31.4 | 121 | 0.745223 | 66 | 471 | 5.287879 | 0.515152 | 0.137536 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002404 | 0.116773 | 471 | 15 | 122 | 31.4 | 0.836538 | 0.142251 | 0 | 0 | 0 | 0.111111 | 0.251244 | 0.134328 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.444444 | 0.333333 | 0 | 0.333333 | 0.222222 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 2 |
ad2d0a2470fb330580fcc10da01db5d19640c734 | 775 | py | Python | data.py | gsel9/ConvOpt02953 | 78ee69b1b857a24fb3effdb6283ec2b5e013c33e | [
"MIT"
] | null | null | null | data.py | gsel9/ConvOpt02953 | 78ee69b1b857a24fb3effdb6283ec2b5e013c33e | [
"MIT"
] | null | null | null | data.py | gsel9/ConvOpt02953 | 78ee69b1b857a24fb3effdb6283ec2b5e013c33e | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
from scipy.stats import bernoulli
def eval_loss(M, M_hat):
return np.linalg.norm(M - M_hat) ** 2 / np.linalg.norm(M) ** 2
def mask_matrix(m=200, n=20, prob_masked=0.5, seed=42):
"""
Generate a binary mask for m users and n movies.
Note that 1 denotes observed, and 0 denotes unobserved.
"""
np.random.seed(seed)
return 1 - bernoulli.rvs(p=prob_masked, size=(m, n))
def data_matrix(m=200, n=20, k=15, seed=42):
"""
Generate non-noisy data for m users and n movies with k latent factors.
Draws factors U, V from Gaussian noise and returns U Vᵀ.
"""
np.random.seed(seed)
U = np.random.randn(m, k)
V = np.random.randn(n, k)
return np.dot(U, V.T)
| 22.794118 | 75 | 0.64129 | 137 | 775 | 3.576642 | 0.481752 | 0.065306 | 0.020408 | 0.053061 | 0.130612 | 0.077551 | 0 | 0 | 0 | 0 | 0 | 0.038851 | 0.236129 | 775 | 33 | 76 | 23.484848 | 0.788851 | 0.300645 | 0 | 0.153846 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.230769 | false | 0 | 0.230769 | 0.076923 | 0.692308 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
ad31ea07ac42dffdd82b4812a5ba7cad9eae68cf | 54 | py | Python | lines/__init__.py | AlexTaguchi/lines | d091d52350d0bedc3c8af0aa5438b6a1da95151d | [
"MIT"
] | null | null | null | lines/__init__.py | AlexTaguchi/lines | d091d52350d0bedc3c8af0aa5438b6a1da95151d | [
"MIT"
] | null | null | null | lines/__init__.py | AlexTaguchi/lines | d091d52350d0bedc3c8af0aa5438b6a1da95151d | [
"MIT"
] | null | null | null | __all__ = ['Lines', 'Segment', 'Point']
version = 0.1
| 18 | 39 | 0.611111 | 7 | 54 | 4.142857 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.043478 | 0.148148 | 54 | 2 | 40 | 27 | 0.586957 | 0 | 0 | 0 | 0 | 0 | 0.314815 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
ad45adb3476ffe351aba1b2cf066867c4bbeaa29 | 232 | py | Python | saleor/core/utils/date_time.py | eanknd/saleor | 08aa724176be00d7aaf654f14e9ae99dd4327f97 | [
"CC-BY-4.0"
] | 1,392 | 2021-10-06T15:54:28.000Z | 2022-03-31T20:50:55.000Z | saleor/core/utils/date_time.py | eanknd/saleor | 08aa724176be00d7aaf654f14e9ae99dd4327f97 | [
"CC-BY-4.0"
] | 888 | 2021-10-06T10:48:54.000Z | 2022-03-31T11:00:30.000Z | saleor/core/utils/date_time.py | eanknd/saleor | 08aa724176be00d7aaf654f14e9ae99dd4327f97 | [
"CC-BY-4.0"
] | 538 | 2021-10-07T16:21:27.000Z | 2022-03-31T22:58:57.000Z | from datetime import datetime
import pytz
def convert_to_utc_date_time(date):
"""Convert date into utc date time."""
if date is None:
return
return datetime.combine(date, datetime.min.time(), tzinfo=pytz.UTC)
| 21.090909 | 71 | 0.706897 | 34 | 232 | 4.705882 | 0.529412 | 0.175 | 0.1375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.198276 | 232 | 10 | 72 | 23.2 | 0.860215 | 0.137931 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.333333 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
ad4bb834c7ac1f8085f612a3214ab44b6466cca2 | 546 | py | Python | pyedflib/data/_readers.py | dthkao/pyedflib | 0f787fc1202b84a6f30d098296acf72666eaeeb4 | [
"BSD-2-Clause"
] | 7 | 2018-11-07T14:40:13.000Z | 2019-11-03T20:38:52.000Z | pyedflib/data/_readers.py | dthkao/pyedflib | 0f787fc1202b84a6f30d098296acf72666eaeeb4 | [
"BSD-2-Clause"
] | null | null | null | pyedflib/data/_readers.py | dthkao/pyedflib | 0f787fc1202b84a6f30d098296acf72666eaeeb4 | [
"BSD-2-Clause"
] | 1 | 2019-06-02T07:50:41.000Z | 2019-06-02T07:50:41.000Z | import os
import numpy as np
import pyedflib
def test_generator():
"""
Get an sample EDF-file
Parameters
----------
None
Returns
-------
f : EdfReader object
object containing the handle to the file
Examples
--------
>>> import pyedflib.data
>>> f = pyedflib.data.test_generator()
>>> f.signals_in_file == 11
True
>>> f._close()
>>> del f
"""
fname = os.path.join(os.path.dirname(__file__), 'test_generator.edf')
f = pyedflib.EdfReader(fname)
return f
| 16.545455 | 73 | 0.571429 | 65 | 546 | 4.646154 | 0.569231 | 0.129139 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005102 | 0.282051 | 546 | 32 | 74 | 17.0625 | 0.765306 | 0.5 | 0 | 0 | 0 | 0 | 0.091837 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.428571 | 0 | 0.714286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
ad5c23841d93fc85b5c13254ebddc0e6601f78eb | 196 | py | Python | settings.py | stshrewsburyDev/raspberrypi_status_website | 282498cb89ddc3c1a9c6538500b7bab5f3ab26f7 | [
"MIT"
] | null | null | null | settings.py | stshrewsburyDev/raspberrypi_status_website | 282498cb89ddc3c1a9c6538500b7bab5f3ab26f7 | [
"MIT"
] | null | null | null | settings.py | stshrewsburyDev/raspberrypi_status_website | 282498cb89ddc3c1a9c6538500b7bab5f3ab26f7 | [
"MIT"
] | null | null | null | from os.path import join, dirname
from dotenv import load_dotenv
# Get .env file path
path = join(dirname(__file__), ".env")
# Load .env vars and delete path variable
load_dotenv(path)
del path
| 19.6 | 41 | 0.755102 | 32 | 196 | 4.4375 | 0.5 | 0.15493 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.158163 | 196 | 9 | 42 | 21.777778 | 0.860606 | 0.295918 | 0 | 0 | 0 | 0 | 0.02963 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.4 | 0 | 0.4 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
ad5f1ec88a7313c3654db98f06bb05369b2fe550 | 662 | py | Python | generate_config.py | shawn-bluce/server_tag | 9d99ec44803c550046418d6d440b7e96ce3a74a4 | [
"MIT"
] | 16 | 2020-08-19T15:16:55.000Z | 2020-12-02T06:01:37.000Z | generate_config.py | shawn-bluce/server_tag | 9d99ec44803c550046418d6d440b7e96ce3a74a4 | [
"MIT"
] | 1 | 2020-08-30T04:51:27.000Z | 2021-02-17T14:46:39.000Z | generate_config.py | shawn-bluce/server_tag | 9d99ec44803c550046418d6d440b7e96ce3a74a4 | [
"MIT"
] | 1 | 2020-08-24T11:07:05.000Z | 2020-08-24T11:07:05.000Z | #!/usr/bin/env python3
# generate template file config.json, when it not exists.
# run this command: `python3 generate_config.py`
import os
import json
from utils import color_text
from settings import config_file_name
from template_config import config as template_config
if __name__ == '__main__':
file_content = json.dumps(template_config, indent=4)
if os.path.exists(config_file_name):
color_text.error('[error] {} is already exists, not generate.'.format(config_file_name))
exit(1)
else:
open(config_file_name, 'w').write(file_content)
color_text.success('[success] {} is generated.'.format(config_file_name))
| 33.1 | 96 | 0.73565 | 95 | 662 | 4.842105 | 0.473684 | 0.108696 | 0.152174 | 0.086957 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007207 | 0.161631 | 662 | 19 | 97 | 34.842105 | 0.821622 | 0.187311 | 0 | 0 | 1 | 0 | 0.145794 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.384615 | 0 | 0.384615 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
ad6189192d0343724fb83243fe236fb1261af574 | 1,151 | py | Python | ansible_runner/tests/test_filter_ansibleprojects.py | smk4664/nautobot-plugin-ansible-runner | 14e3c57e9d4b21abe9bf81484fc3e26114fc7056 | [
"Apache-2.0"
] | null | null | null | ansible_runner/tests/test_filter_ansibleprojects.py | smk4664/nautobot-plugin-ansible-runner | 14e3c57e9d4b21abe9bf81484fc3e26114fc7056 | [
"Apache-2.0"
] | null | null | null | ansible_runner/tests/test_filter_ansibleprojects.py | smk4664/nautobot-plugin-ansible-runner | 14e3c57e9d4b21abe9bf81484fc3e26114fc7056 | [
"Apache-2.0"
] | null | null | null | """Test AnsibleProjects Filter."""
from django.test import TestCase
from ansible_runner import filters
from ansible_runner import models
from ansible_runner.tests import fixtures
class AnsibleProjectsFilterTestCase(TestCase):
"""AnsibleProjects Filter Test Case."""
queryset = models.AnsibleProjects.objects.all()
filterset = filters.AnsibleProjectsFilterSet
@classmethod
def setUpTestData(cls):
"""Setup test data for AnsibleProjects Model."""
fixtures.create_ansibleprojects()
def test_q_search_name(self):
"""Test using Q search with name of AnsibleProjects."""
params = {"q": "Test One"}
self.assertEqual(self.filterset(params, self.queryset).qs.count(), 1)
def test_q_search_slug(self):
"""Test using Q search with slug of AnsibleProjects."""
params = {"q": "test-one"}
self.assertEqual(self.filterset(params, self.queryset).qs.count(), 1)
def test_q_invalid(self):
"""Test using invalid Q search for AnsibleProjects."""
params = {"q": "test-five"}
self.assertEqual(self.filterset(params, self.queryset).qs.count(), 0)
| 34.878788 | 77 | 0.691573 | 134 | 1,151 | 5.850746 | 0.350746 | 0.044643 | 0.065051 | 0.09949 | 0.366071 | 0.366071 | 0.304847 | 0.304847 | 0.304847 | 0.237245 | 0 | 0.003219 | 0.190269 | 1,151 | 32 | 78 | 35.96875 | 0.837983 | 0.220678 | 0 | 0.105263 | 0 | 0 | 0.032333 | 0 | 0 | 0 | 0 | 0 | 0.157895 | 1 | 0.210526 | false | 0 | 0.210526 | 0 | 0.578947 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
ad64d77e24b1cc4b06e2178562d1de481f016083 | 30,055 | py | Python | tests/features/test_plinkio.py | cnr-ibba/SMARTER-database | 837f7d514c33e458ad0e39e26784c761df29e004 | [
"MIT"
] | null | null | null | tests/features/test_plinkio.py | cnr-ibba/SMARTER-database | 837f7d514c33e458ad0e39e26784c761df29e004 | [
"MIT"
] | 44 | 2021-05-25T16:00:34.000Z | 2022-03-12T01:12:45.000Z | tests/features/test_plinkio.py | cnr-ibba/SMARTER-database | 837f7d514c33e458ad0e39e26784c761df29e004 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Apr 9 17:42:03 2021
@author: Paolo Cozzi <paolo.cozzi@ibba.cnr.it>
"""
import types
import unittest
import pathlib
import tempfile
from copy import deepcopy
from src.features.smarterdb import (
VariantSheep, Location, Breed, Dataset, SampleSheep, SEX)
from src.features.plinkio import (
TextPlinkIO, MapRecord, CodingException, IlluminaReportIO, BinaryPlinkIO,
AffyPlinkIO)
from ..common import (
MongoMockMixin, SmarterIDMixin, VariantsMixin, SupportedChipMixin)
# set data dir
DATA_DIR = pathlib.Path(__file__).parent / "data"
class TextPlinkIOMap(VariantsMixin, MongoMockMixin, unittest.TestCase):
def setUp(self):
super().setUp()
self.plinkio = TextPlinkIO(
prefix=str(DATA_DIR / "plinktest"),
species="Sheep")
def test_read_mapfile(self):
self.plinkio.read_mapfile()
self.assertIsInstance(self.plinkio.mapdata, list)
self.assertEqual(len(self.plinkio.mapdata), 4)
for record in self.plinkio.mapdata:
self.assertIsInstance(record, MapRecord)
def test_fetch_coordinates(self):
self.plinkio.read_mapfile()
self.plinkio.fetch_coordinates(
version="Oar_v3.1", imported_from="SNPchiMp v.3")
self.assertIsInstance(self.plinkio.locations, list)
self.assertEqual(len(self.plinkio.locations), 4)
self.assertIsInstance(self.plinkio.filtered, set)
self.assertEqual(len(self.plinkio.filtered), 1)
# assert filtered items
self.assertIn(3, self.plinkio.filtered)
for idx, record in enumerate(self.plinkio.locations):
if idx in self.plinkio.filtered:
self.assertIsNone(record)
else:
self.assertIsInstance(record, Location)
def test_update_mapfile(self):
# create a temporary directory using the context manager
with tempfile.TemporaryDirectory() as tmpdirname:
outfile = pathlib.Path(tmpdirname) / "plinktest_updated.map"
self.plinkio.read_mapfile()
self.plinkio.fetch_coordinates(
version="Oar_v3.1", imported_from="SNPchiMp v.3")
self.plinkio.update_mapfile(str(outfile))
# now open outputfile and test stuff
test = TextPlinkIO(
mapfile=str(outfile),
pedfile=str(DATA_DIR / "plinktest.ped"))
test.read_mapfile()
# one snp cannot be mapped
self.assertEqual(len(test.mapdata), 3)
for record in test.mapdata:
variant = VariantSheep.objects(name=record.name).get()
location = variant.get_location(
version="Oar_v3.1", imported_from="SNPchiMp v.3")
self.assertEqual(location.chrom, record.chrom)
self.assertEqual(location.position, record.position)
class TextPlinkIOPed(
VariantsMixin, SmarterIDMixin, MongoMockMixin, unittest.TestCase):
def setUp(self):
super().setUp()
self.plinkio = TextPlinkIO(
prefix=str(DATA_DIR / "plinktest"),
species="Sheep")
# read info from map
self.plinkio.read_mapfile()
self.plinkio.fetch_coordinates(
version="Oar_v3.1", imported_from="SNPchiMp v.3")
# read first line of ped file
self.lines = list(self.plinkio.read_pedfile())
# get a dataset
self.dataset = Dataset.objects(file="test.zip").get()
def test_read_pedfile(self):
test = self.plinkio.read_pedfile()
self.assertIsInstance(test, types.GeneratorType)
# consume data and count rows
test = list(test)
self.assertEqual(len(test), 2)
def test_process_genotypes_top(self):
# first record is in top coordinates
line = self.lines[0]
test = self.plinkio._process_genotypes(line, 'top')
# a genotype in forward coordinates isn't modified
self.assertEqual(line, test)
# searching forward coordinates throws exception
self.assertRaisesRegex(
CodingException,
"Not illumina forward format",
self.plinkio._process_genotypes,
line,
"forward"
)
# searching ab coordinates throws exception
self.assertRaisesRegex(
CodingException,
"Not illumina ab format",
self.plinkio._process_genotypes,
line,
"ab"
)
def test_process_genotypes_half_missing(self):
# read a file in forward coordinates
self.plinkio.pedfile = str(DATA_DIR / "plinktest_half-missing.ped")
half_missing = next(self.plinkio.read_pedfile())
# processing top genotype
test = self.plinkio._process_genotypes(half_missing, 'top')
# an half-missing genotype should be set as MISSING
reference = [
'TEX_IT', '1', '0', '0', '0', '-9',
'0', '0', 'A', 'G', '0', '0', '0', '0']
self.assertEqual(reference, test)
def test_process_genotypes_forward(self):
# read a file in forward coordinates
self.plinkio.pedfile = str(DATA_DIR / "plinktest_forward.ped")
forward = next(self.plinkio.read_pedfile())
# searching top coordinates throws exception
self.assertRaisesRegex(
CodingException,
"Not illumina top format",
self.plinkio._process_genotypes,
forward,
"top"
)
# searching ab coordinates throws exception
self.assertRaisesRegex(
CodingException,
"Not illumina ab format",
self.plinkio._process_genotypes,
forward,
"ab"
)
test = self.plinkio._process_genotypes(forward, 'forward')
# a genotype in forward coordinates returns in top
reference = self.lines[0]
self.assertEqual(reference, test)
def test_process_genotypes_ab(self):
# read a file in forward coordinates
self.plinkio.pedfile = str(DATA_DIR / "plinktest_ab.ped")
ab = next(self.plinkio.read_pedfile())
# searching top coordinates throws exception
self.assertRaisesRegex(
CodingException,
"Not illumina top format",
self.plinkio._process_genotypes,
ab,
"top"
)
# searching forward coordinates throws exception
self.assertRaisesRegex(
CodingException,
"Not illumina forward format",
self.plinkio._process_genotypes,
ab,
"forward"
)
test = self.plinkio._process_genotypes(ab, 'ab')
# a genotype in forward coordinates returns in top
reference = self.lines[0]
self.assertEqual(reference, test)
def test_get_or_create_sample(self):
# get a sample line
line = self.lines[0]
# get a breed
breed = Breed.objects(
aliases__match={'fid': line[0], 'dataset': self.dataset}).get()
# no individulas for such breeds
self.assertEqual(breed.n_individuals, 0)
self.assertEqual(SampleSheep.objects.count(), 0)
# calling my function and collect sample
reference = self.plinkio.get_or_create_sample(
line, self.dataset, breed)
self.assertIsInstance(reference, SampleSheep)
# assert an element in database
self.assertEqual(SampleSheep.objects.count(), 1)
# check individuals updated
breed.reload()
self.assertEqual(breed.n_individuals, 1)
# calling this function twice, returns the same individual
test = self.plinkio.get_or_create_sample(line, self.dataset, breed)
self.assertIsInstance(test, SampleSheep)
# assert an element in database
self.assertEqual(SampleSheep.objects.count(), 1)
# check individuals updated
breed.reload()
self.assertEqual(breed.n_individuals, 1)
self.assertEqual(reference, test)
def test_get_sample(self):
"""get a sample without creating item"""
# get a sample line
line = self.lines[0]
# get a breed
breed = Breed.objects(
aliases__match={'fid': line[0], 'dataset': self.dataset}).get()
# no individulas for such breeds
self.assertEqual(breed.n_individuals, 0)
self.assertEqual(SampleSheep.objects.count(), 0)
# calling my function and collect sample
reference = self.plinkio.get_sample(
line, self.dataset)
# there are no sample in database, so get_sample returns none
self.assertIsNone(reference)
# assert an element in database
self.assertEqual(SampleSheep.objects.count(), 0)
# check individuals updated
breed.reload()
self.assertEqual(breed.n_individuals, 0)
# call get_or_create to insert this sample in database
test = self.plinkio.get_or_create_sample(line, self.dataset, breed)
self.assertIsInstance(test, SampleSheep)
# assert an element in database
self.assertEqual(SampleSheep.objects.count(), 1)
# check individuals updated
breed.reload()
self.assertEqual(breed.n_individuals, 1)
# calling get_sample again to collect the sample
reference = self.plinkio.get_sample(
line,
self.dataset
)
# now reference is a sample.
self.assertIsInstance(reference, SampleSheep)
# Check how many samples I have
breed.reload()
self.assertEqual(breed.n_individuals, 1)
self.assertEqual(SampleSheep.objects.count(), 1)
# check that objects are the same
self.assertEqual(reference, test)
def test_get_sample_by_alias(self):
"""get a sample without creating item"""
# get a sample line
line = self.lines[0].copy()
# get a breed
breed = Breed.objects(
aliases__match={'fid': line[0], 'dataset': self.dataset}).get()
# call get_or_create to insert this sample in database
test = self.plinkio.get_or_create_sample(line, self.dataset, breed)
# add an alias to this sample
test.alias = "alias-1"
test.save()
# replace sample name with alias
line[1] = "alias-1"
# calling get_sample again to collect the sample
reference = self.plinkio.get_sample(
line,
self.dataset,
sample_field='alias'
)
# now reference is a sample.
self.assertIsInstance(reference, SampleSheep)
# Check how many samples I have
breed.reload()
self.assertEqual(breed.n_individuals, 1)
self.assertEqual(SampleSheep.objects.count(), 1)
# check that objects are the same
self.assertEqual(reference, test)
def test_sample_relies_dataset(self):
"""Getting two sample with the same original id is not a problem"""
# get a sample line
line = self.lines[0]
# get a breed
breed = Breed.objects(
aliases__match={'fid': line[0], 'dataset': self.dataset}).get()
# create a copy of dataset
new_dataset = deepcopy(self.dataset)
new_dataset.file = "test2.zip"
new_dataset.id = None
new_dataset.save()
# ok create a samplesheep object with the same original_id
first = self.plinkio.get_or_create_sample(line, self.dataset, breed)
second = self.plinkio.get_or_create_sample(line, new_dataset, breed)
self.assertEqual(SampleSheep.objects.count(), 2)
self.assertEqual(first.original_id, second.original_id)
# need to delete second sample in order to remove the new dataset
# (mongoengine.DENY behaviour for deleting samples)
second.delete()
first.delete()
# reset database to original state
new_dataset.delete()
def test_process_pedline(self):
# get a sample line
line = self.lines[0]
test = self.plinkio._process_pedline(line, self.dataset, 'top', True)
# define reference
reference = line.copy()
reference[0], reference[1] = ['TEX', 'ITOA-TEX-000000001']
# trow away the last snps (not found in database)
del(reference[-2:])
self.assertEqual(reference, test)
def get_relationships(self):
"""Helper function to define fake relationships"""
# get a sample line
line = self.lines[0]
# make a copy and change some values
father = deepcopy(line)
mother = deepcopy(line)
child = deepcopy(line)
# let's start with father. Change id and sex column
father[1], father[4] = "1", "1"
# now the mother (same columns)
mother[1], mother[4] = "2", "2"
# the last is child. set id and and other records (unknown sex)
child[1], child[2], child[3] = "3", "1", "2"
return father, mother, child
def test_process_pedline_relationship(self):
"""Test a pedline with father or mother ids"""
father, mother, child = self.get_relationships()
# process data and insert records
for i, item in enumerate([father, mother, child]):
test = self.plinkio._process_pedline(
item, self.dataset, 'top', True)
# define smarter_id
smarter_id = f"ITOA-TEX-00000000{i+1}"
# test ped line items
self.assertEqual(test[0], "TEX")
self.assertEqual(test[1], smarter_id)
self.assertEqual(test[4], item[4])
# assert database objects
sample = SampleSheep.objects(smarter_id=smarter_id).get()
# special child case
if item == child:
sample_father = SampleSheep.objects(
original_id=item[2],
dataset=self.dataset).get()
sample_mother = SampleSheep.objects(
original_id=item[3],
dataset=self.dataset).get()
self.assertIsNone(sample.sex)
self.assertEqual(sample.father_id, sample_father)
self.assertEqual(sample.mother_id, sample_mother)
self.assertEqual(test[2], sample_father.smarter_id)
self.assertEqual(test[3], sample_mother.smarter_id)
else:
self.assertEqual(sample.sex, SEX(int(item[4])))
def test_update_relationship(self):
"""Test the possibility to update a sample relationship"""
# ped lines could be in the wrong order. In such way, a child sample
# could be written before its parents, and so ped lines can't be
# written correctly
# define fake relationships
father, mother, child = self.get_relationships()
# process data and insert records
for i, item in enumerate([child, father, mother]):
self.plinkio._process_pedline(item, self.dataset, 'top', True)
# special child case
if item == child:
# define smarter_id
smarter_id = f"ITOA-TEX-00000000{i+1}"
# assert database objects
sample_child = SampleSheep.objects(smarter_id=smarter_id).get()
# assert child has no relationship
self.assertIsNone(sample_child.father_id)
self.assertIsNone(sample_child.mother_id)
self.assertIsNone(sample_child.sex)
# ok now try to process child again
test = self.plinkio._process_pedline(child, self.dataset, 'top', True)
# refresh database object
sample_child.reload()
sample_father = sample_child.father_id.fetch()
sample_mother = sample_child.mother_id.fetch()
self.assertEqual(sample_child.smarter_id, test[1])
self.assertEqual(sample_father.smarter_id, test[2])
self.assertEqual(sample_mother.smarter_id, test[3])
def test_unmanaged_relationship(self):
"test unsetting ped columns if relationship can be derived from data"
# define fake relationships
child = self.get_relationships()[-1]
# insert child without parents
test = self.plinkio._process_pedline(child, self.dataset, 'top', True)
# define smarter_id
smarter_id = "ITOA-TEX-000000001"
self.assertEqual(test[1], smarter_id)
self.assertEqual(test[2], "0")
self.assertEqual(test[3], "0")
def test_update_pedfile(self):
# create a temporary directory using the context manager
with tempfile.TemporaryDirectory() as tmpdirname:
outfile = pathlib.Path(tmpdirname) / "plinktest_updated.ped"
self.plinkio.update_pedfile(
str(outfile), self.dataset, 'top', True)
# now open outputfile and test stuff
test = TextPlinkIO(
mapfile=str(DATA_DIR / "plinktest.map"),
pedfile=str(outfile))
# assert two records written
self.assertEqual(len(list(test.read_pedfile())), 2)
def test_update_pedfile_no_insert(self):
"""Test no sample creating while processing genotypes"""
# create a temporary directory using the context manager
with tempfile.TemporaryDirectory() as tmpdirname:
outfile = pathlib.Path(tmpdirname) / "plinktest_updated.ped"
self.plinkio.update_pedfile(
str(outfile), self.dataset, 'top', False)
with open(outfile) as handle:
data = handle.read()
# outfile is an empty
self.assertEqual(data, '')
# no sample created
self.assertEqual(SampleSheep.objects.count(), 0)
class BinaryPlinkIOTest(
VariantsMixin, SmarterIDMixin, MongoMockMixin, unittest.TestCase):
def setUp(self):
super().setUp()
self.plinkio = BinaryPlinkIO(
prefix=str(DATA_DIR / "plinktest"),
species="Sheep")
# read info from map
self.plinkio.read_mapfile()
self.plinkio.fetch_coordinates(
version="Oar_v3.1", imported_from="SNPchiMp v.3")
# read first line of ped file
self.lines = list(self.plinkio.read_pedfile())
def test_read_mapfile(self):
self.assertIsInstance(self.plinkio.mapdata, list)
self.assertEqual(len(self.plinkio.mapdata), 4)
for record in self.plinkio.mapdata:
self.assertIsInstance(record, MapRecord)
def test_read_pedfile(self):
test = self.plinkio.read_pedfile()
self.assertIsInstance(test, types.GeneratorType)
# consume data and count rows
test = list(test)
self.assertEqual(len(test), 2)
def test_process_pedline(self):
# define reference
reference = [
'TEX', 'ITOA-TEX-000000001', '0', '0', '0', -9,
'A', 'A', 'A', 'G', 'G', 'G']
# get a line for testing
line = self.lines[0]
# get a dataset
dataset = Dataset.objects(file="test.zip").get()
test = self.plinkio._process_pedline(line, dataset, 'top', True)
self.assertEqual(reference, test)
class IlluminaReportIOMap(VariantsMixin, MongoMockMixin, unittest.TestCase):
def setUp(self):
super().setUp()
self.plinkio = IlluminaReportIO(
snpfile=str(DATA_DIR / "snplist.txt"),
report=str(DATA_DIR / "finalreport.txt"),
species="Sheep")
self.plinkio.read_snpfile()
def test_read_snpfile(self):
self.assertIsInstance(self.plinkio.mapdata, list)
self.assertEqual(len(self.plinkio.mapdata), 2)
for record in self.plinkio.mapdata:
self.assertIsInstance(record, tuple)
def test_fetch_coordinates(self):
self.plinkio.fetch_coordinates(
version="Oar_v3.1", imported_from="SNPchiMp v.3")
self.assertIsInstance(self.plinkio.locations, list)
self.assertEqual(len(self.plinkio.locations), 2)
self.assertIsInstance(self.plinkio.filtered, set)
self.assertEqual(len(self.plinkio.filtered), 0)
for idx, record in enumerate(self.plinkio.locations):
self.assertIsInstance(record, Location)
def test_update_mapfile(self):
# create a temporary directory using the context manager
with tempfile.TemporaryDirectory() as tmpdirname:
# this is the temporary output file
outfile = pathlib.Path(tmpdirname) / "plinktest_updated.map"
self.plinkio.fetch_coordinates(
version="Oar_v3.1", imported_from="SNPchiMp v.3")
self.plinkio.update_mapfile(str(outfile))
# now open outputfile and test stuff
test = TextPlinkIO(mapfile=str(outfile))
test.read_mapfile()
# there was only two snps into dataset
# HINT: could be in final report SNPs not included in database?
self.assertEqual(len(test.mapdata), 2)
for record in test.mapdata:
variant = VariantSheep.objects(name=record.name).get()
location = variant.get_location(
version="Oar_v3.1", imported_from="SNPchiMp v.3")
self.assertEqual(location.chrom, record.chrom)
self.assertEqual(location.position, record.position)
class IlluminaReportIOPed(
VariantsMixin, SmarterIDMixin, SupportedChipMixin, MongoMockMixin,
unittest.TestCase):
def setUp(self):
super().setUp()
self.dataset = Dataset.objects.get(file="test.zip")
self.plinkio = IlluminaReportIO(
snpfile=str(DATA_DIR / "snplist.txt"),
report=str(DATA_DIR / "finalreport.txt"),
species="Sheep")
# read info from map
self.plinkio.read_snpfile()
self.plinkio.fetch_coordinates(
version="Oar_v3.1", imported_from="SNPchiMp v.3")
# read first line of ped file
self.lines = list(self.plinkio.read_reportfile(fid="TEX"))
def test_read_reportfile(self):
test = self.plinkio.read_reportfile(fid="TEX")
self.assertIsInstance(test, types.GeneratorType)
# consume data and count rows
test = list(test)
self.assertEqual(len(test), 2)
def test_read_reportfile_no_fid(self):
"""Try to determine fid from database"""
# create two fake samples to colled fid relying on database
for i in range(2):
sample = SampleSheep(
original_id=f"{i+1}",
country="Italy",
breed="Texel",
breed_code="TEX",
species="Sheep",
dataset=self.dataset,
type_="background",
chip_name=self.chip_name
)
sample.save()
test = self.plinkio.read_reportfile(dataset=self.dataset)
self.assertIsInstance(test, types.GeneratorType)
# consume data and count rows
test = list(test)
self.assertEqual(len(test), 2)
def test_process_pedline(self):
# define reference
reference = [
'TEX', 'ITOA-TEX-000000001', '0', '0', '0', -9,
'A', 'A', 'G', 'G']
# get a line for testing
line = self.lines[0]
# get a dataset
dataset = Dataset.objects(file="test.zip").get()
test = self.plinkio._process_pedline(line, dataset, 'ab', True)
self.assertEqual(reference, test)
def test_update_pedfile(self):
# get a dataset
dataset = Dataset.objects(file="test.zip").get()
# create a temporary directory using the context manager
with tempfile.TemporaryDirectory() as tmpdirname:
outfile = pathlib.Path(tmpdirname) / "plinktest_updated.ped"
self.plinkio.update_pedfile(
str(outfile), dataset, 'ab', fid="TEX", create_samples=True)
# now open outputfile and test stuff
test = TextPlinkIO(
mapfile=str(DATA_DIR / "plinktest.map"),
pedfile=str(outfile))
# assert two records written
self.assertEqual(len(list(test.read_pedfile())), 2)
class AffyPlinkIOMapTest(VariantsMixin, MongoMockMixin, unittest.TestCase):
# load a custom fixture for this class
variant_fixture = "affy_variants.json"
def setUp(self):
super().setUp()
self.plinkio = AffyPlinkIO(
prefix=str(DATA_DIR / "affytest"),
species="Sheep",
chip_name="AffymetrixAxiomOviCan"
)
def test_read_mapfile(self):
self.plinkio.read_mapfile()
self.assertIsInstance(self.plinkio.mapdata, list)
self.assertEqual(len(self.plinkio.mapdata), 4)
for record in self.plinkio.mapdata:
self.assertIsInstance(record, MapRecord)
def test_fetch_coordinates(self):
self.plinkio.read_mapfile()
self.plinkio.fetch_coordinates(
version="Oar_v3.1",
imported_from="SNPchiMp v.3",
search_field='probeset_id'
)
self.assertIsInstance(self.plinkio.locations, list)
self.assertEqual(len(self.plinkio.locations), 4)
self.assertIsInstance(self.plinkio.filtered, set)
self.assertEqual(len(self.plinkio.filtered), 2)
# assert filtered items
self.assertIn(2, self.plinkio.filtered)
self.assertIn(3, self.plinkio.filtered)
for idx, record in enumerate(self.plinkio.locations):
if idx in self.plinkio.filtered:
self.assertIsNone(record)
else:
self.assertIsInstance(record, Location)
def test_update_mapfile(self):
# create a temporary directory using the context manager
with tempfile.TemporaryDirectory() as tmpdirname:
outfile = pathlib.Path(tmpdirname) / "affytest_updated.map"
self.plinkio.read_mapfile()
self.plinkio.fetch_coordinates(
version="Oar_v3.1",
imported_from="SNPchiMp v.3",
search_field='probeset_id'
)
self.plinkio.update_mapfile(str(outfile))
# now open outputfile and test stuff
test = TextPlinkIO(mapfile=str(outfile))
test.read_mapfile()
# one snp cannot be mapped
self.assertEqual(len(test.mapdata), 2)
for record in test.mapdata:
variant = VariantSheep.objects(name=record.name).get()
location = variant.get_location(
version="Oar_v3.1", imported_from="SNPchiMp v.3")
self.assertEqual(location.chrom, record.chrom)
self.assertEqual(location.position, record.position)
class AffyPlinkIOPedTest(
VariantsMixin, SmarterIDMixin, MongoMockMixin, unittest.TestCase):
# load a custom fixture for this class
variant_fixture = "affy_variants.json"
def setUp(self):
super().setUp()
self.plinkio = AffyPlinkIO(
prefix=str(DATA_DIR / "affytest"),
species="Sheep",
chip_name="AffymetrixAxiomOviCan"
)
# read info from map
self.plinkio.read_mapfile()
# need to read the destination coordinates once, to determine which
# SNPs don't have a position on the destination assembly
self.plinkio.fetch_coordinates(
version="Oar_v3.1",
imported_from="SNPchiMp v.3",
search_field='probeset_id'
)
# need to track filtered SNPs
self.filtered_snps = self.plinkio.filtered
# now read the original coordinates
self.plinkio.fetch_coordinates(
version="Oar_v4.0",
imported_from="affymetrix",
search_field='probeset_id'
)
# then updated the filtered SNPs using the desiderate coordinate sys
self.plinkio.filtered.update(self.filtered_snps)
# read ped files
self.lines = list(self.plinkio.read_pedfile(fid="TEX"))
def test_assert_filtered(self):
self.assertEqual(self.plinkio.filtered, {2, 3})
def test_read_pedfile(self):
test = self.plinkio.read_pedfile(fid="TEX")
self.assertIsInstance(test, types.GeneratorType)
# consume data and count rows
test = list(test)
self.assertEqual(len(test), 2)
def test_process_pedline(self):
# define reference
reference = [
'TEX', 'ITOA-TEX-000000001', '0', '0', '0', -9,
'A', 'G', 'A', 'A']
# get a line for testing
line = self.lines[0]
# get a dataset
dataset = Dataset.objects(file="test.zip").get()
test = self.plinkio._process_pedline(line, dataset, 'affymetrix', True)
self.assertEqual(reference, test)
for sample in SampleSheep.objects.all():
print(sample, sample.original_id)
def test_update_pedfile(self):
# get a dataset
dataset = Dataset.objects(file="test.zip").get()
# create a temporary directory using the context manager
with tempfile.TemporaryDirectory() as tmpdirname:
outfile = pathlib.Path(tmpdirname) / "affytes_updated.ped"
self.plinkio.update_pedfile(
str(outfile),
dataset,
'affymetrix',
fid="TEX",
create_samples=True)
# now open outputfile and test stuff
test = TextPlinkIO(
mapfile=str(DATA_DIR / "plinktest.map"),
pedfile=str(outfile))
# assert two records written
self.assertEqual(len(list(test.read_pedfile())), 2)
if __name__ == '__main__':
unittest.main()
| 33.173289 | 79 | 0.611745 | 3,347 | 30,055 | 5.383926 | 0.106961 | 0.068979 | 0.019145 | 0.009378 | 0.749445 | 0.709767 | 0.695228 | 0.683574 | 0.672253 | 0.639789 | 0 | 0.011316 | 0.291366 | 30,055 | 905 | 80 | 33.209945 | 0.834773 | 0.170388 | 0 | 0.642722 | 0 | 0 | 0.059445 | 0.009592 | 0 | 0 | 0 | 0 | 0.221172 | 1 | 0.081285 | false | 0 | 0.041588 | 0 | 0.141777 | 0.00189 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
ad818906801685ab3f1a9a9809e540bf3af04839 | 1,637 | py | Python | sklearn/gaussian_process/tests/_mini_sequence_kernel.py | MaiRajborirug/scikit-learn | c18d015372f7041099d19c215cd4c36ffd6fe5c5 | [
"BSD-3-Clause"
] | 50,961 | 2015-01-01T06:06:31.000Z | 2022-03-31T23:40:12.000Z | sklearn/gaussian_process/tests/_mini_sequence_kernel.py | MaiRajborirug/scikit-learn | c18d015372f7041099d19c215cd4c36ffd6fe5c5 | [
"BSD-3-Clause"
] | 17,065 | 2015-01-01T02:01:58.000Z | 2022-03-31T23:48:34.000Z | sklearn/gaussian_process/tests/_mini_sequence_kernel.py | MaiRajborirug/scikit-learn | c18d015372f7041099d19c215cd4c36ffd6fe5c5 | [
"BSD-3-Clause"
] | 26,886 | 2015-01-01T00:59:27.000Z | 2022-03-31T18:03:23.000Z | from sklearn.gaussian_process.kernels import Kernel, Hyperparameter
from sklearn.gaussian_process.kernels import GenericKernelMixin
from sklearn.gaussian_process.kernels import StationaryKernelMixin
import numpy as np
from sklearn.base import clone
class MiniSeqKernel(GenericKernelMixin, StationaryKernelMixin, Kernel):
"""
A minimal (but valid) convolutional kernel for sequences of variable
length.
"""
def __init__(self, baseline_similarity=0.5, baseline_similarity_bounds=(1e-5, 1)):
self.baseline_similarity = baseline_similarity
self.baseline_similarity_bounds = baseline_similarity_bounds
@property
def hyperparameter_baseline_similarity(self):
return Hyperparameter(
"baseline_similarity", "numeric", self.baseline_similarity_bounds
)
def _f(self, s1, s2):
return sum(
[1.0 if c1 == c2 else self.baseline_similarity for c1 in s1 for c2 in s2]
)
def _g(self, s1, s2):
return sum([0.0 if c1 == c2 else 1.0 for c1 in s1 for c2 in s2])
def __call__(self, X, Y=None, eval_gradient=False):
if Y is None:
Y = X
if eval_gradient:
return (
np.array([[self._f(x, y) for y in Y] for x in X]),
np.array([[[self._g(x, y)] for y in Y] for x in X]),
)
else:
return np.array([[self._f(x, y) for y in Y] for x in X])
def diag(self, X):
return np.array([self._f(x, x) for x in X])
def clone_with_theta(self, theta):
cloned = clone(self)
cloned.theta = theta
return cloned
| 32.098039 | 86 | 0.637141 | 226 | 1,637 | 4.455752 | 0.278761 | 0.178749 | 0.109235 | 0.027805 | 0.328699 | 0.260179 | 0.125124 | 0.125124 | 0.125124 | 0.083416 | 0 | 0.022632 | 0.271228 | 1,637 | 50 | 87 | 32.74 | 0.821459 | 0.046426 | 0 | 0 | 0 | 0 | 0.016872 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.194444 | false | 0 | 0.138889 | 0.111111 | 0.555556 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 2 |
ad85fccfc5759ceb3c3b82da18eb50b3ebeb4483 | 1,576 | py | Python | setup.py | vvanholl/estop | d82537014e545cd154ef4f8686dbe557f8cc99d7 | [
"Apache-2.0"
] | 9 | 2018-10-02T11:37:46.000Z | 2019-08-26T04:22:24.000Z | setup.py | vvanholl/estop | d82537014e545cd154ef4f8686dbe557f8cc99d7 | [
"Apache-2.0"
] | null | null | null | setup.py | vvanholl/estop | d82537014e545cd154ef4f8686dbe557f8cc99d7 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
from setuptools import setup, find_packages
with open('VERSION') as version_file:
version = version_file.read()
with open('README.rst') as readme_file:
long_description = readme_file.read()
with open('requirements.txt') as requirements_file:
install_requires = requirements_file.read().splitlines()
classifiers = [
'Development Status :: 3 - Alpha',
'Intended Audience :: System Administrators',
'License :: OSI Approved :: Apache Software License',
'Programming Language :: Python',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.0',
'Programming Language :: Python :: 3.1',
'Programming Language :: Python :: 3.2',
'Programming Language :: Python :: 3.3',
'Programming Language :: Python :: 3.4',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
'Topic :: System :: Clustering',
'Topic :: System :: Networking',
'Topic :: System :: Networking :: Monitoring',
'Topic :: Utilities',
]
scripts = [
'bin/estop'
]
setup(
name='estop',
version=version,
description='Monitor and control Elasticsearch tasks',
long_description=long_description,
url='https://github.com/vvanholl/estop',
author='Vincent Van Hollebeke',
author_email='vincent@compuscene.org',
license='Apache License, Version 2.0',
install_requires=install_requires,
classifiers=classifiers,
packages=find_packages(exclude=('tests',)),
scripts=scripts
)
| 30.307692 | 60 | 0.670051 | 171 | 1,576 | 6.087719 | 0.438596 | 0.182517 | 0.240154 | 0.199808 | 0.051873 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015625 | 0.187817 | 1,576 | 51 | 61 | 30.901961 | 0.797656 | 0.01269 | 0 | 0 | 0 | 0 | 0.51254 | 0.014148 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.023256 | 0 | 0.023256 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
ad8eb06c4b7702a0f38236141b9ecfe474b64c86 | 5,233 | py | Python | solution/LP_MDS.py | Pro7ech/CryptoChallenge | 6ba33e2c9479ce2cefc36c6e0d0b45ddca05dfc9 | [
"Apache-2.0"
] | 4 | 2021-01-11T13:02:12.000Z | 2022-01-01T13:45:53.000Z | solution/LP_MDS.py | Pro7ech/CryptoChallenge | 6ba33e2c9479ce2cefc36c6e0d0b45ddca05dfc9 | [
"Apache-2.0"
] | null | null | null | solution/LP_MDS.py | Pro7ech/CryptoChallenge | 6ba33e2c9479ce2cefc36c6e0d0b45ddca05dfc9 | [
"Apache-2.0"
] | null | null | null | from random import randrange
# Precomputed parity S-BOX from 0 to 255
P = [0,1,1,0,1,0,0,1,1,0,0,1,0,1,1,0,1,0,0,1,0,1,1,0,0,1,1,0,1,0,0,1,
1,0,0,1,0,1,1,0,0,1,1,0,1,0,0,1,0,1,1,0,1,0,0,1,1,0,0,1,0,1,1,0,
1,0,0,1,0,1,1,0,0,1,1,0,1,0,0,1,0,1,1,0,1,0,0,1,1,0,0,1,0,1,1,0,
0,1,1,0,1,0,0,1,1,0,0,1,0,1,1,0,1,0,0,1,0,1,1,0,0,1,1,0,1,0,0,1,
1,0,0,1,0,1,1,0,0,1,1,0,1,0,0,1,0,1,1,0,1,0,0,1,1,0,0,1,0,1,1,0,
0,1,1,0,1,0,0,1,1,0,0,1,0,1,1,0,1,0,0,1,0,1,1,0,0,1,1,0,1,0,0,1,
0,1,1,0,1,0,0,1,1,0,0,1,0,1,1,0,1,0,0,1,0,1,1,0,0,1,1,0,1,0,0,1,
1,0,0,1,0,1,1,0,0,1,1,0,1,0,0,1,0,1,1,0,1,0,0,1,1,0,0,1,0,1,1,0]
# Computes the parity of a 64 bit unsigned integer
def parity(x):
x ^= x >> 64
x ^= x >> 32
x ^= x >> 16
x ^= x >> 8
return P[x&0xFF]
def M(x,m,s):
""" INPUT : x = vector (int),
m = matrix (as list of vectors),
s = vectors bit length
OUTPUT : vector (int), result of m*x
"""
z = 0
for i in range(s):
z<<=1
z |= parity(x & m[i])
return z
def transpose(x,s):
""" INPUT : x = matrix of masks (int),
s = mask bit length
OUTPUT : transposed masks
"""
#Converts the masks into binary lists
m = []
for mask in x:
tmp = []
for i in range(s):
tmp += [(mask>>(s-i-1))&1]
m += [tmp]
#Transposes
t = [[m[j][i] for j in range(len(m))] for i in range(len(m[0]))]
#Converts the binary lists back into masks
m = []
for x in t:
mask = 0
for bit in x:
mask<<=1
mask |= bit
m += [mask]
return m
def expand(x):
return [(x>>(120-(i<<3)) & 0xFF) for i in range(16)]
def squeeze(w):
x = 0
for i in w:
x<<=8
x|=i
return x
def mds(x):
w = expand(x)
z0 = w[0]
z1 = w[1]
z2 = w[2]
z3 = w[3]
z4 = w[4]
z5 = w[5]
z6 = w[6]
z7 = w[7]
z8 = w[8]
z9 = w[9]
z10 = w[10]
z11 = w[11]
z12 = w[12]
z13 = w[13]
z14 = w[14]
z15 = w[15]
w0 = z2 ^ z3 ^ z4 ^ z6 ^ z7
w1 = z0 ^ z1 ^ z3 ^ z4 ^ z7
w2 = z0 ^ z1 ^ z4 ^ z5 ^ z6
w3 = z1 ^ z2 ^ z3 ^ z5 ^ z6
w8 = z0 ^ z2 ^ z3 ^ z6 ^ z7
w9 = z0 ^ z3 ^ z4 ^ z5 ^ z7
w10 = z0 ^ z1 ^ z2 ^ z4 ^ z5
w11 = z1 ^ z2 ^ z5 ^ z6 ^ z7
w4 = z10 ^ z11 ^ z12 ^ z14 ^ z15
w5 = z8 ^ z9 ^ z11 ^ z12 ^ z15
w6 = z8 ^ z9 ^ z12 ^ z13 ^ z14
w7 = z9 ^ z10 ^ z11 ^ z13 ^ z14
w12 = z8 ^ z10 ^ z11 ^ z14 ^ z15
w13 = z8 ^ z11 ^ z12 ^ z13 ^ z15
w14 = z8 ^ z9 ^ z10 ^ z12 ^ z13
w15 = z9 ^ z10 ^ z13 ^ z14 ^ z15
return squeeze((w0,w1,w2,w3,w4,w5,w6,w7,w8,w9,w10,w11,w12,w13,w14,w15))
def mds_t(x):
w = expand(x)
z0 = w[0]
z1 = w[1]
z2 = w[2]
z3 = w[3]
z8 = w[4]
z9 = w[5]
z10 = w[6]
z11 = w[7]
z4 = w[8]
z5 = w[9]
z6 = w[10]
z7 = w[11]
z12 = w[12]
z13 = w[13]
z14 = w[14]
z15 = w[15]
w0 = z1 ^ z2 ^ z4 ^ z5 ^ z6
w1 = z1 ^ z2 ^ z3 ^ z6 ^ z7
w2 = z0 ^ z3 ^ z4 ^ z6 ^ z7
w3 = z0 ^ z1 ^ z3 ^ z4 ^ z5
w4 = z0 ^ z1 ^ z2 ^ z5 ^ z6
w5 = z2 ^ z3 ^ z5 ^ z6 ^ z7
w6 = z0 ^ z2 ^ z3 ^ z4 ^ z7
w7 = z0 ^ z1 ^ z4 ^ z5 ^ z7
w8 = z9 ^ z10 ^ z12 ^ z13 ^ z14
w9 = z9 ^ z10 ^ z11 ^ z14 ^ z15
w10 = z8 ^ z11 ^ z12 ^ z14 ^ z15
w11 = z8 ^ z9 ^ z11 ^ z12 ^ z13
w12 = z8 ^ z9 ^ z10 ^ z13 ^ z14
w13 = z10 ^ z11 ^ z13 ^ z14 ^ z15
w14 = z8 ^ z10 ^ z11 ^ z12 ^ z15
w15 = z8 ^ z9 ^ z12 ^ z13 ^ z15
return squeeze((w0,w1,w2,w3,w4,w5,w6,w7,w8,w9,w10,w11,w12,w13,w14,w15))
def mds_t_inv(x):
w = expand(x)
z0 = w[0]
z1 = w[1]
z2 = w[2]
z3 = w[3]
z4 = w[4]
z5 = w[5]
z6 = w[6]
z7 = w[7]
z8 = w[8]
z9 = w[9]
z10 = w[10]
z11 = w[11]
z12 = w[12]
z13 = w[13]
z14 = w[14]
z15 = w[15]
w0 = z1 ^ z2 ^ z4 ^ z5 ^ z6
w1 = z1 ^ z2 ^ z3 ^ z6 ^ z7
w2 = z0 ^ z3 ^ z4 ^ z6 ^ z7
w3 = z0 ^ z1 ^ z3 ^ z4 ^ z5
w8 = z0 ^ z1 ^ z2 ^ z5 ^ z6
w9 = z2 ^ z3 ^ z5 ^ z6 ^ z7
w10 = z0 ^ z2 ^ z3 ^ z4 ^ z7
w11 = z0 ^ z1 ^ z4 ^ z5 ^ z7
w4 = z9 ^ z10 ^ z12 ^ z13 ^ z14
w5 = z9 ^ z10 ^ z11 ^ z14 ^ z15
w6 = z8 ^ z11 ^ z12 ^ z14 ^ z15
w7 = z8 ^ z9 ^ z11 ^ z12 ^ z13
w12 = z8 ^ z9 ^ z10 ^ z13 ^ z14
w13 = z10 ^ z11 ^ z13 ^ z14 ^ z15
w14 = z8 ^ z10 ^ z11 ^ z12 ^ z15
w15 = z8 ^ z9 ^ z12 ^ z13 ^ z15
return squeeze((w0,w1,w2,w3,w4,w5,w6,w7,w8,w9,w10,w11,w12,w13,w14,w15))
def test():
state = True
for i in range(2560):
x = randrange(1<<128)
mask = randrange(1<<128)
if parity((x & mds_t(mask)) ^ (mds(x) & mask)):
state = False
break
if parity((x & mask) ^ (mds(x) & mds_t_inv(mask))):
state = False
break
if not(state):
break
if state : print('Success')
#test()
| 23.786364 | 77 | 0.411236 | 1,012 | 5,233 | 2.120553 | 0.118577 | 0.079217 | 0.060112 | 0.080149 | 0.530755 | 0.423579 | 0.423579 | 0.423579 | 0.423579 | 0.423579 | 0 | 0.287556 | 0.407223 | 5,233 | 219 | 78 | 23.894977 | 0.404255 | 0.077776 | 0 | 0.469512 | 0 | 0 | 0.001543 | 0 | 0 | 0 | 0.001763 | 0 | 0 | 1 | 0.054878 | false | 0 | 0.006098 | 0.006098 | 0.109756 | 0.006098 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 2 |
ad9479590c17eb2a528c60aa5a52ebaceddfe0da | 36,853 | py | Python | pysnmp/SMON2-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 11 | 2021-02-02T16:27:16.000Z | 2021-08-31T06:22:49.000Z | pysnmp/SMON2-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 75 | 2021-02-24T17:30:31.000Z | 2021-12-08T00:01:18.000Z | pysnmp/SMON2-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module SMON2-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/SMON2-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 20:59:43 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
smon, = mibBuilder.importSymbols("APPLIC-MIB", "smon")
ObjectIdentifier, Integer, OctetString = mibBuilder.importSymbols("ASN1", "ObjectIdentifier", "Integer", "OctetString")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ConstraintsIntersection, ValueSizeConstraint, ConstraintsUnion, SingleValueConstraint, ValueRangeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsIntersection", "ValueSizeConstraint", "ConstraintsUnion", "SingleValueConstraint", "ValueRangeConstraint")
OwnerString, = mibBuilder.importSymbols("RMON-MIB", "OwnerString")
DataSource, LastCreateTime, TimeFilter, hlMatrixControlIndex, ZeroBasedCounter32, protocolDirLocalIndex = mibBuilder.importSymbols("RMON2-MIB", "DataSource", "LastCreateTime", "TimeFilter", "hlMatrixControlIndex", "ZeroBasedCounter32", "protocolDirLocalIndex")
NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "ModuleCompliance")
Counter32, Unsigned32, IpAddress, MibScalar, MibTable, MibTableRow, MibTableColumn, Bits, ObjectIdentity, MibIdentifier, Integer32, TimeTicks, iso, NotificationType, Counter64, Bits, ModuleIdentity, Gauge32 = mibBuilder.importSymbols("SNMPv2-SMI", "Counter32", "Unsigned32", "IpAddress", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "Bits", "ObjectIdentity", "MibIdentifier", "Integer32", "TimeTicks", "iso", "NotificationType", "Counter64", "Bits", "ModuleIdentity", "Gauge32")
TimeStamp, TextualConvention, RowStatus, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TimeStamp", "TextualConvention", "RowStatus", "DisplayString")
xsSmon = MibIdentifier((1, 3, 6, 1, 4, 1, 81, 30, 2))
xsSmonResourceAllocation = MibScalar((1, 3, 6, 1, 4, 1, 81, 30, 2, 1), OctetString().subtype(subtypeSpec=ValueSizeConstraint(4, 4)).setFixedLength(4)).setMaxAccess("readonly")
if mibBuilder.loadTexts: xsSmonResourceAllocation.setStatus('current')
xsHostTopN = MibIdentifier((1, 3, 6, 1, 4, 1, 81, 30, 2, 2))
xsHostTopNControlTable = MibTable((1, 3, 6, 1, 4, 1, 81, 30, 2, 2, 1), )
if mibBuilder.loadTexts: xsHostTopNControlTable.setStatus('current')
xsHostTopNControlEntry = MibTableRow((1, 3, 6, 1, 4, 1, 81, 30, 2, 2, 1, 1), ).setIndexNames((0, "SMON2-MIB", "xsHostTopNControlIndex"))
if mibBuilder.loadTexts: xsHostTopNControlEntry.setStatus('current')
xsHostTopNControlIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 2, 1, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 65535)))
if mibBuilder.loadTexts: xsHostTopNControlIndex.setStatus('current')
xsHostTopNControlHostIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 2, 1, 1, 2), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 65535))).setMaxAccess("readcreate")
if mibBuilder.loadTexts: xsHostTopNControlHostIndex.setStatus('current')
xsHostTopNControlRateBase = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 2, 1, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("xsHostTopNInPkts", 1), ("xsHostTopNOutPkts", 2), ("xsHostTopNInOctets", 3), ("xsHostTopNOutOctets", 4)))).setMaxAccess("readcreate")
if mibBuilder.loadTexts: xsHostTopNControlRateBase.setStatus('current')
xsHostTopNControlTimeRemaining = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 2, 1, 1, 4), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 2147483647))).setMaxAccess("readcreate")
if mibBuilder.loadTexts: xsHostTopNControlTimeRemaining.setStatus('current')
xsHostTopNControlDuration = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 2, 1, 1, 5), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: xsHostTopNControlDuration.setStatus('current')
xsHostTopNControlRequestedSize = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 2, 1, 1, 6), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 2147483647)).clone(150)).setMaxAccess("readcreate")
if mibBuilder.loadTexts: xsHostTopNControlRequestedSize.setStatus('current')
xsHostTopNControlGrantedSize = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 2, 1, 1, 7), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 2147483647))).setMaxAccess("readonly")
if mibBuilder.loadTexts: xsHostTopNControlGrantedSize.setStatus('current')
xsHostTopNControlStartTime = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 2, 1, 1, 8), TimeStamp()).setMaxAccess("readonly")
if mibBuilder.loadTexts: xsHostTopNControlStartTime.setStatus('current')
xsHostTopNControlOwner = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 2, 1, 1, 9), OwnerString()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: xsHostTopNControlOwner.setStatus('current')
xsHostTopNControlStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 2, 1, 1, 10), RowStatus()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: xsHostTopNControlStatus.setStatus('current')
xsHostTopNTable = MibTable((1, 3, 6, 1, 4, 1, 81, 30, 2, 2, 2), )
if mibBuilder.loadTexts: xsHostTopNTable.setStatus('current')
xsHostTopNEntry = MibTableRow((1, 3, 6, 1, 4, 1, 81, 30, 2, 2, 2, 1), ).setIndexNames((0, "SMON2-MIB", "xsHostTopNControlIndex"), (0, "SMON2-MIB", "xsHostTopNIndex"))
if mibBuilder.loadTexts: xsHostTopNEntry.setStatus('current')
xsHostTopNIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 2, 2, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 65535)))
if mibBuilder.loadTexts: xsHostTopNIndex.setStatus('current')
xsHostTopNProtocolDirLocalIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 2, 2, 1, 2), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 2147483647))).setMaxAccess("readonly")
if mibBuilder.loadTexts: xsHostTopNProtocolDirLocalIndex.setStatus('current')
xsHostTopNNlAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 2, 2, 1, 3), OctetString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: xsHostTopNNlAddress.setStatus('current')
xsHostTopNRate = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 2, 2, 1, 4), Gauge32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: xsHostTopNRate.setStatus('current')
xsFilter = MibIdentifier((1, 3, 6, 1, 4, 1, 81, 30, 2, 3))
xsHostFilterTable = MibTable((1, 3, 6, 1, 4, 1, 81, 30, 2, 3, 1), )
if mibBuilder.loadTexts: xsHostFilterTable.setStatus('current')
xsHostFilterEntry = MibTableRow((1, 3, 6, 1, 4, 1, 81, 30, 2, 3, 1, 1), ).setIndexNames((0, "SMON2-MIB", "xsHostFilterIpAddress"))
if mibBuilder.loadTexts: xsHostFilterEntry.setStatus('current')
xsHostFilterType = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 3, 1, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("ipHost", 1), ("ipSubnet", 2), ("ipxNet", 3)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: xsHostFilterType.setStatus('current')
xsHostFilterIpAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 3, 1, 1, 2), OctetString()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: xsHostFilterIpAddress.setStatus('current')
xsHostFilterIpSubnet = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 3, 1, 1, 3), OctetString()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: xsHostFilterIpSubnet.setStatus('current')
xsHostFilterIpMask = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 3, 1, 1, 4), OctetString()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: xsHostFilterIpMask.setStatus('current')
xsHostFilterIpxAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 3, 1, 1, 5), OctetString()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: xsHostFilterIpxAddress.setStatus('current')
xsHostFilterStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 3, 1, 1, 6), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 4))).clone(namedValues=NamedValues(("valid", 1), ("invalid", 4)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: xsHostFilterStatus.setStatus('current')
xsHostFilterTableClear = MibScalar((1, 3, 6, 1, 4, 1, 81, 30, 2, 3, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("idle", 1), ("clear", 2)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: xsHostFilterTableClear.setStatus('current')
xsSubnet = MibIdentifier((1, 3, 6, 1, 4, 1, 81, 30, 2, 4))
xsSubnetControlTable = MibTable((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 1), )
if mibBuilder.loadTexts: xsSubnetControlTable.setStatus('current')
xsSubnetControlEntry = MibTableRow((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 1, 1), ).setIndexNames((0, "SMON2-MIB", "xsSubnetControlIndex"))
if mibBuilder.loadTexts: xsSubnetControlEntry.setStatus('current')
xsSubnetControlIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 1, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 65535)))
if mibBuilder.loadTexts: xsSubnetControlIndex.setStatus('current')
xsSubnetControlDataSource = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 1, 1, 2), DataSource()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: xsSubnetControlDataSource.setStatus('current')
xsSubnetControlInserts = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 1, 1, 3), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: xsSubnetControlInserts.setStatus('current')
xsSubnetControlDeletes = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 1, 1, 4), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: xsSubnetControlDeletes.setStatus('current')
xsSubnetControlMaxDesiredEntries = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 1, 1, 5), Integer32().subtype(subtypeSpec=ValueRangeConstraint(-1, 2147483647))).setMaxAccess("readcreate")
if mibBuilder.loadTexts: xsSubnetControlMaxDesiredEntries.setStatus('current')
xsSubnetControlOwner = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 1, 1, 6), OwnerString()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: xsSubnetControlOwner.setStatus('current')
xsSubnetControlStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 1, 1, 7), RowStatus()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: xsSubnetControlStatus.setStatus('current')
xsSubnetTable = MibTable((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 2), )
if mibBuilder.loadTexts: xsSubnetTable.setStatus('current')
xsSubnetEntry = MibTableRow((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 2, 1), ).setIndexNames((0, "SMON2-MIB", "xsSubnetControlIndex"), (0, "SMON2-MIB", "xsSubnetTimeMark"), (0, "RMON2-MIB", "protocolDirLocalIndex"), (0, "SMON2-MIB", "xsSubnetAddress"), (0, "SMON2-MIB", "xsSubnetMask"), (0, "RMON2-MIB", "protocolDirLocalIndex"))
if mibBuilder.loadTexts: xsSubnetEntry.setStatus('current')
xsSubnetTimeMark = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 2, 1, 1), TimeFilter())
if mibBuilder.loadTexts: xsSubnetTimeMark.setStatus('current')
xsSubnetAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 2, 1, 2), OctetString())
if mibBuilder.loadTexts: xsSubnetAddress.setStatus('current')
xsSubnetMask = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 2, 1, 3), OctetString())
if mibBuilder.loadTexts: xsSubnetMask.setStatus('current')
xsSubnetInPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 2, 1, 4), ZeroBasedCounter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: xsSubnetInPkts.setStatus('current')
xsSubnetOutPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 2, 1, 5), ZeroBasedCounter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: xsSubnetOutPkts.setStatus('current')
xsSubnetCreateTime = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 2, 1, 6), LastCreateTime()).setMaxAccess("readonly")
if mibBuilder.loadTexts: xsSubnetCreateTime.setStatus('current')
xsSubnetMatrixControlTable = MibTable((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 3), )
if mibBuilder.loadTexts: xsSubnetMatrixControlTable.setStatus('current')
xsSubnetMatrixControlEntry = MibTableRow((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 3, 1), ).setIndexNames((0, "SMON2-MIB", "xsSubnetMatrixControlIndex"))
if mibBuilder.loadTexts: xsSubnetMatrixControlEntry.setStatus('current')
xsSubnetMatrixControlIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 3, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 65535)))
if mibBuilder.loadTexts: xsSubnetMatrixControlIndex.setStatus('current')
xsSubnetMatrixControlDataSource = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 3, 1, 2), DataSource()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: xsSubnetMatrixControlDataSource.setStatus('current')
xsSubnetMatrixControlInserts = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 3, 1, 4), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: xsSubnetMatrixControlInserts.setStatus('current')
xsSubnetMatrixControlDeletes = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 3, 1, 5), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: xsSubnetMatrixControlDeletes.setStatus('current')
xsSubnetMatrixControlMaxDesiredEntries = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 3, 1, 6), Integer32().subtype(subtypeSpec=ValueRangeConstraint(-1, 2147483647))).setMaxAccess("readcreate")
if mibBuilder.loadTexts: xsSubnetMatrixControlMaxDesiredEntries.setStatus('current')
xsSubnetMatrixControlOwner = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 3, 1, 7), OwnerString()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: xsSubnetMatrixControlOwner.setStatus('current')
xsSubnetMatrixControlStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 3, 1, 8), RowStatus()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: xsSubnetMatrixControlStatus.setStatus('current')
xsSubnetMatrixSDTable = MibTable((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 4), )
if mibBuilder.loadTexts: xsSubnetMatrixSDTable.setStatus('current')
xsSubnetMatrixSDEntry = MibTableRow((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 4, 1), ).setIndexNames((0, "SMON2-MIB", "xsSubnetMatrixControlIndex"), (0, "SMON2-MIB", "xsSubnetMatrixSDTimeMark"), (0, "RMON2-MIB", "protocolDirLocalIndex"), (0, "SMON2-MIB", "xsSubnetMatrixSDSourceAddress"), (0, "SMON2-MIB", "xsSubnetMatrixSDSourceMask"), (0, "SMON2-MIB", "xsSubnetMatrixSDDestAddress"), (0, "SMON2-MIB", "xsSubnetMatrixSDDestMask"), (0, "RMON2-MIB", "protocolDirLocalIndex"))
if mibBuilder.loadTexts: xsSubnetMatrixSDEntry.setStatus('current')
xsSubnetMatrixSDTimeMark = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 4, 1, 1), TimeFilter())
if mibBuilder.loadTexts: xsSubnetMatrixSDTimeMark.setStatus('current')
xsSubnetMatrixSDSourceAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 4, 1, 2), OctetString())
if mibBuilder.loadTexts: xsSubnetMatrixSDSourceAddress.setStatus('current')
xsSubnetMatrixSDSourceMask = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 4, 1, 3), OctetString())
if mibBuilder.loadTexts: xsSubnetMatrixSDSourceMask.setStatus('current')
xsSubnetMatrixSDDestAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 4, 1, 4), OctetString())
if mibBuilder.loadTexts: xsSubnetMatrixSDDestAddress.setStatus('current')
xsSubnetMatrixSDDestMask = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 4, 1, 5), OctetString())
if mibBuilder.loadTexts: xsSubnetMatrixSDDestMask.setStatus('current')
xsSubnetMatrixSDPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 4, 1, 6), ZeroBasedCounter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: xsSubnetMatrixSDPkts.setStatus('current')
xsSubnetMatrixSDCreateTime = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 4, 1, 7), LastCreateTime()).setMaxAccess("readonly")
if mibBuilder.loadTexts: xsSubnetMatrixSDCreateTime.setStatus('current')
xsSubnetMatrixDSTable = MibTable((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 5), )
if mibBuilder.loadTexts: xsSubnetMatrixDSTable.setStatus('current')
xsSubnetMatrixDSEntry = MibTableRow((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 5, 1), ).setIndexNames((0, "RMON2-MIB", "hlMatrixControlIndex"), (0, "SMON2-MIB", "xsSubnetMatrixDSTimeMark"), (0, "RMON2-MIB", "protocolDirLocalIndex"), (0, "SMON2-MIB", "xsSubnetMatrixDSDestAddress"), (0, "SMON2-MIB", "xsSubnetMatrixDSDestMask"), (0, "SMON2-MIB", "xsSubnetMatrixDSSourceAddress"), (0, "SMON2-MIB", "xsSubnetMatrixDSSourceMask"), (0, "RMON2-MIB", "protocolDirLocalIndex"))
if mibBuilder.loadTexts: xsSubnetMatrixDSEntry.setStatus('current')
xsSubnetMatrixDSTimeMark = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 5, 1, 1), TimeFilter())
if mibBuilder.loadTexts: xsSubnetMatrixDSTimeMark.setStatus('current')
xsSubnetMatrixDSSourceAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 5, 1, 2), OctetString())
if mibBuilder.loadTexts: xsSubnetMatrixDSSourceAddress.setStatus('current')
xsSubnetMatrixDSSourceMask = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 5, 1, 3), OctetString())
if mibBuilder.loadTexts: xsSubnetMatrixDSSourceMask.setStatus('current')
xsSubnetMatrixDSDestAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 5, 1, 4), OctetString())
if mibBuilder.loadTexts: xsSubnetMatrixDSDestAddress.setStatus('current')
xsSubnetMatrixDSDestMask = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 5, 1, 5), OctetString())
if mibBuilder.loadTexts: xsSubnetMatrixDSDestMask.setStatus('current')
xsSubnetMatrixDSPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 5, 1, 6), ZeroBasedCounter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: xsSubnetMatrixDSPkts.setStatus('current')
xsSubnetMatrixDSCreateTime = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 4, 5, 1, 7), LastCreateTime()).setMaxAccess("readonly")
if mibBuilder.loadTexts: xsSubnetMatrixDSCreateTime.setStatus('current')
xsNumberOfProtocols = MibScalar((1, 3, 6, 1, 4, 1, 81, 30, 2, 5), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: xsNumberOfProtocols.setStatus('current')
xsProtocolDistStatsTimeStamp = MibScalar((1, 3, 6, 1, 4, 1, 81, 30, 2, 6), TimeTicks()).setMaxAccess("readonly")
if mibBuilder.loadTexts: xsProtocolDistStatsTimeStamp.setStatus('current')
xsNlHostTimeStamp = MibScalar((1, 3, 6, 1, 4, 1, 81, 30, 2, 7), TimeTicks()).setMaxAccess("readonly")
if mibBuilder.loadTexts: xsNlHostTimeStamp.setStatus('current')
xsSubnetStatsTimeStamp = MibScalar((1, 3, 6, 1, 4, 1, 81, 30, 2, 8), TimeTicks()).setMaxAccess("readonly")
if mibBuilder.loadTexts: xsSubnetStatsTimeStamp.setStatus('current')
xsActiveApplications = MibIdentifier((1, 3, 6, 1, 4, 1, 81, 30, 2, 9))
xsActiveApplicationsBitMask = MibScalar((1, 3, 6, 1, 4, 1, 81, 30, 2, 9, 1), OctetString().subtype(subtypeSpec=ValueSizeConstraint(128, 128)).setFixedLength(128)).setMaxAccess("readonly")
if mibBuilder.loadTexts: xsActiveApplicationsBitMask.setStatus('current')
xsActiveApplicationsTable = MibTable((1, 3, 6, 1, 4, 1, 81, 30, 2, 9, 2), )
if mibBuilder.loadTexts: xsActiveApplicationsTable.setStatus('current')
xsActiveApplicationsEntry = MibTableRow((1, 3, 6, 1, 4, 1, 81, 30, 2, 9, 2, 1), ).setIndexNames((0, "SMON2-MIB", "xsActiveApplicationsIndex"))
if mibBuilder.loadTexts: xsActiveApplicationsEntry.setStatus('current')
xsActiveApplicationsIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 9, 2, 1, 1), Integer32())
if mibBuilder.loadTexts: xsActiveApplicationsIndex.setStatus('current')
xsActiveApplicationsPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 2, 9, 2, 1, 2), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: xsActiveApplicationsPkts.setStatus('current')
xsSmonStatus = MibScalar((1, 3, 6, 1, 4, 1, 81, 30, 2, 10), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("operate", 1), ("paused", 2))).clone('paused')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: xsSmonStatus.setStatus('current')
drSmon = MibIdentifier((1, 3, 6, 1, 4, 1, 81, 30, 4))
drSmonConfiguration = MibIdentifier((1, 3, 6, 1, 4, 1, 81, 30, 4, 1))
drSmonControlTable = MibTable((1, 3, 6, 1, 4, 1, 81, 30, 4, 1, 1), )
if mibBuilder.loadTexts: drSmonControlTable.setStatus('current')
drSmonControlEntry = MibTableRow((1, 3, 6, 1, 4, 1, 81, 30, 4, 1, 1, 1), ).setIndexNames((0, "SMON2-MIB", "drSmonControlModuleID"))
if mibBuilder.loadTexts: drSmonControlEntry.setStatus('current')
drSmonControlModuleID = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 4, 1, 1, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 255)))
if mibBuilder.loadTexts: drSmonControlModuleID.setStatus('current')
drSmonControlRowAddressAutoLearnMode = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 4, 1, 1, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 255))).clone(namedValues=NamedValues(("enable", 1), ("disable", 2), ("notSupported", 255)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: drSmonControlRowAddressAutoLearnMode.setStatus('current')
drSmonControlRoutedPackets = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 4, 1, 1, 1, 3), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: drSmonControlRoutedPackets.setStatus('current')
drSmonControlProtocolDistStatsTimeStamp = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 4, 1, 1, 1, 4), TimeTicks()).setMaxAccess("readonly")
if mibBuilder.loadTexts: drSmonControlProtocolDistStatsTimeStamp.setStatus('current')
drSmonControlMatrixRows = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 4, 1, 1, 1, 5), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 2147483647))).setMaxAccess("readonly")
if mibBuilder.loadTexts: drSmonControlMatrixRows.setStatus('current')
drSmonControlMatrixCols = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 4, 1, 1, 1, 6), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 2147483647))).setMaxAccess("readonly")
if mibBuilder.loadTexts: drSmonControlMatrixCols.setStatus('current')
drSmonEntityPlacementTable = MibTable((1, 3, 6, 1, 4, 1, 81, 30, 4, 1, 2), )
if mibBuilder.loadTexts: drSmonEntityPlacementTable.setStatus('current')
drSmonEntityPlacementEntry = MibTableRow((1, 3, 6, 1, 4, 1, 81, 30, 4, 1, 2, 1), ).setIndexNames((0, "SMON2-MIB", "drSmonEntityPlacementModuleID"), (0, "SMON2-MIB", "drSmonEntityPlacementIndex"))
if mibBuilder.loadTexts: drSmonEntityPlacementEntry.setStatus('current')
drSmonEntityPlacementModuleID = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 4, 1, 2, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 255)))
if mibBuilder.loadTexts: drSmonEntityPlacementModuleID.setStatus('current')
drSmonEntityPlacementIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 4, 1, 2, 1, 2), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 2147483647)))
if mibBuilder.loadTexts: drSmonEntityPlacementIndex.setStatus('current')
drSmonEntityPlacementAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 4, 1, 2, 1, 3), IpAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: drSmonEntityPlacementAddress.setStatus('current')
drSmonEntityPlacementMask = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 4, 1, 2, 1, 4), IpAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: drSmonEntityPlacementMask.setStatus('current')
drSmonEntityPlacementType = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 4, 1, 2, 1, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("empty", 1), ("autoLearn", 2), ("filter", 3)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: drSmonEntityPlacementType.setStatus('current')
drSmonProtocolDir = MibIdentifier((1, 3, 6, 1, 4, 1, 81, 30, 4, 2))
drSmonProtocolDirLCTable = MibTable((1, 3, 6, 1, 4, 1, 81, 30, 4, 2, 1), )
if mibBuilder.loadTexts: drSmonProtocolDirLCTable.setStatus('current')
drSmonProtocolDirLCEntry = MibTableRow((1, 3, 6, 1, 4, 1, 81, 30, 4, 2, 1, 1), ).setIndexNames((0, "SMON2-MIB", "drSmonProtocolDirLCModuleID"))
if mibBuilder.loadTexts: drSmonProtocolDirLCEntry.setStatus('current')
drSmonProtocolDirLCModuleID = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 4, 2, 1, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 255)))
if mibBuilder.loadTexts: drSmonProtocolDirLCModuleID.setStatus('current')
drSmonProtocolDirLCLastChange = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 4, 2, 1, 1, 2), TimeStamp()).setMaxAccess("readonly")
if mibBuilder.loadTexts: drSmonProtocolDirLCLastChange.setStatus('current')
drSmonProtocolDirTable = MibTable((1, 3, 6, 1, 4, 1, 81, 30, 4, 2, 2), )
if mibBuilder.loadTexts: drSmonProtocolDirTable.setStatus('current')
drSmonProtocolDirEntry = MibTableRow((1, 3, 6, 1, 4, 1, 81, 30, 4, 2, 2, 1), ).setIndexNames((0, "SMON2-MIB", "drSmonProtocolDirModuleID"), (0, "SMON2-MIB", "drSmonProtocolDirID"), (0, "SMON2-MIB", "drSmonProtocolDirParameters"))
if mibBuilder.loadTexts: drSmonProtocolDirEntry.setStatus('current')
drSmonProtocolDirModuleID = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 4, 2, 2, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 255)))
if mibBuilder.loadTexts: drSmonProtocolDirModuleID.setStatus('current')
drSmonProtocolDirID = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 4, 2, 2, 1, 2), OctetString())
if mibBuilder.loadTexts: drSmonProtocolDirID.setStatus('current')
drSmonProtocolDirParameters = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 4, 2, 2, 1, 3), OctetString())
if mibBuilder.loadTexts: drSmonProtocolDirParameters.setStatus('current')
drSmonProtocolDirLocalIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 4, 2, 2, 1, 4), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 2147483647))).setMaxAccess("readonly")
if mibBuilder.loadTexts: drSmonProtocolDirLocalIndex.setStatus('current')
drSmonProtocolDirDescr = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 4, 2, 2, 1, 5), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(1, 64))).setMaxAccess("readcreate")
if mibBuilder.loadTexts: drSmonProtocolDirDescr.setStatus('current')
drSmonProtocolDirType = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 4, 2, 2, 1, 6), Bits().clone(namedValues=NamedValues(("extensible", 0), ("addressRecognitionCapable", 1)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: drSmonProtocolDirType.setStatus('current')
drSmonProtocolDirAddressMapConfig = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 4, 2, 2, 1, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("notSupported", 1), ("supportedOff", 2), ("supportedOn", 3)))).setMaxAccess("readcreate")
if mibBuilder.loadTexts: drSmonProtocolDirAddressMapConfig.setStatus('current')
drSmonProtocolDirHostConfig = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 4, 2, 2, 1, 8), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("notSupported", 1), ("supportedOff", 2), ("supportedOn", 3)))).setMaxAccess("readcreate")
if mibBuilder.loadTexts: drSmonProtocolDirHostConfig.setStatus('current')
drSmonProtocolDirMatrixConfig = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 4, 2, 2, 1, 9), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("notSupported", 1), ("supportedOff", 2), ("supportedOn", 3)))).setMaxAccess("readcreate")
if mibBuilder.loadTexts: drSmonProtocolDirMatrixConfig.setStatus('current')
drSmonProtocolDirOwner = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 4, 2, 2, 1, 10), OwnerString()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: drSmonProtocolDirOwner.setStatus('current')
drSmonProtocolDirStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 4, 2, 2, 1, 11), RowStatus()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: drSmonProtocolDirStatus.setStatus('current')
drSmonFilter = MibIdentifier((1, 3, 6, 1, 4, 1, 81, 30, 4, 3))
drSmonFilterTable = MibTable((1, 3, 6, 1, 4, 1, 81, 30, 4, 3, 1), )
if mibBuilder.loadTexts: drSmonFilterTable.setStatus('current')
drSmonFilterEntry = MibTableRow((1, 3, 6, 1, 4, 1, 81, 30, 4, 3, 1, 1), ).setIndexNames((0, "SMON2-MIB", "drSmonFilterModuleID"), (0, "SMON2-MIB", "drSmonFilterIndex"))
if mibBuilder.loadTexts: drSmonFilterEntry.setStatus('current')
drSmonFilterModuleID = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 4, 3, 1, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 255)))
if mibBuilder.loadTexts: drSmonFilterModuleID.setStatus('current')
drSmonFilterIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 4, 3, 1, 1, 2), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 2147483647)))
if mibBuilder.loadTexts: drSmonFilterIndex.setStatus('current')
drSmonFilterAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 4, 3, 1, 1, 3), IpAddress()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: drSmonFilterAddress.setStatus('current')
drSmonFilterMask = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 4, 3, 1, 1, 4), IpAddress()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: drSmonFilterMask.setStatus('current')
drSmonFilterStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 4, 3, 1, 1, 5), RowStatus()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: drSmonFilterStatus.setStatus('current')
drSmonActiveApplications = MibIdentifier((1, 3, 6, 1, 4, 1, 81, 30, 4, 4))
drSmonActiveApplicationsTable = MibTable((1, 3, 6, 1, 4, 1, 81, 30, 4, 4, 1), )
if mibBuilder.loadTexts: drSmonActiveApplicationsTable.setStatus('current')
drSmonActiveApplicationsEntry = MibTableRow((1, 3, 6, 1, 4, 1, 81, 30, 4, 4, 1, 1), ).setIndexNames((0, "SMON2-MIB", "drSmonActiveApplicationsModuleID"), (0, "SMON2-MIB", "drSmonActiveApplicationsType"), (0, "SMON2-MIB", "drSmonActiveApplicationsSubType"))
if mibBuilder.loadTexts: drSmonActiveApplicationsEntry.setStatus('current')
drSmonActiveApplicationsModuleID = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 4, 4, 1, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 255)))
if mibBuilder.loadTexts: drSmonActiveApplicationsModuleID.setStatus('current')
drSmonActiveApplicationsType = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 4, 4, 1, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("ethertype", 1), ("ipProtocol", 2), ("udpProtocol", 3), ("tcpProtocol", 4))))
if mibBuilder.loadTexts: drSmonActiveApplicationsType.setStatus('current')
drSmonActiveApplicationsSubType = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 4, 4, 1, 1, 3), Integer32())
if mibBuilder.loadTexts: drSmonActiveApplicationsSubType.setStatus('current')
drSmonActiveApplicationsPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 81, 30, 4, 4, 1, 1, 4), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: drSmonActiveApplicationsPkts.setStatus('current')
mibBuilder.exportSymbols("SMON2-MIB", xsSubnetMatrixDSSourceAddress=xsSubnetMatrixDSSourceAddress, xsActiveApplications=xsActiveApplications, drSmonProtocolDir=drSmonProtocolDir, drSmonControlRoutedPackets=drSmonControlRoutedPackets, xsFilter=xsFilter, xsHostTopNControlStatus=xsHostTopNControlStatus, xsSmon=xsSmon, drSmonProtocolDirHostConfig=drSmonProtocolDirHostConfig, drSmonFilter=drSmonFilter, xsSubnetMatrixControlMaxDesiredEntries=xsSubnetMatrixControlMaxDesiredEntries, xsSubnetMatrixDSSourceMask=xsSubnetMatrixDSSourceMask, xsSubnetControlEntry=xsSubnetControlEntry, xsSubnetEntry=xsSubnetEntry, xsSubnetMatrixSDTable=xsSubnetMatrixSDTable, drSmonConfiguration=drSmonConfiguration, drSmonControlMatrixRows=drSmonControlMatrixRows, drSmonProtocolDirStatus=drSmonProtocolDirStatus, xsHostFilterEntry=xsHostFilterEntry, drSmonControlModuleID=drSmonControlModuleID, drSmonEntityPlacementEntry=drSmonEntityPlacementEntry, xsSubnetControlTable=xsSubnetControlTable, drSmonProtocolDirAddressMapConfig=drSmonProtocolDirAddressMapConfig, drSmonActiveApplications=drSmonActiveApplications, drSmonEntityPlacementAddress=drSmonEntityPlacementAddress, xsSubnetControlMaxDesiredEntries=xsSubnetControlMaxDesiredEntries, xsSubnetAddress=xsSubnetAddress, xsSubnetMask=xsSubnetMask, drSmonProtocolDirID=drSmonProtocolDirID, drSmonProtocolDirModuleID=drSmonProtocolDirModuleID, drSmonControlEntry=drSmonControlEntry, drSmonActiveApplicationsSubType=drSmonActiveApplicationsSubType, drSmonEntityPlacementIndex=drSmonEntityPlacementIndex, drSmonProtocolDirMatrixConfig=drSmonProtocolDirMatrixConfig, xsHostTopNControlEntry=xsHostTopNControlEntry, drSmonActiveApplicationsEntry=drSmonActiveApplicationsEntry, drSmonProtocolDirParameters=drSmonProtocolDirParameters, xsSubnetControlOwner=xsSubnetControlOwner, xsSubnetMatrixSDPkts=xsSubnetMatrixSDPkts, drSmonProtocolDirLCLastChange=drSmonProtocolDirLCLastChange, drSmonEntityPlacementTable=drSmonEntityPlacementTable, drSmonControlProtocolDistStatsTimeStamp=drSmonControlProtocolDistStatsTimeStamp, drSmonEntityPlacementModuleID=drSmonEntityPlacementModuleID, xsHostTopNControlTimeRemaining=xsHostTopNControlTimeRemaining, drSmonFilterTable=drSmonFilterTable, drSmonEntityPlacementType=drSmonEntityPlacementType, xsSubnetMatrixControlInserts=xsSubnetMatrixControlInserts, xsHostFilterIpSubnet=xsHostFilterIpSubnet, xsHostTopNControlHostIndex=xsHostTopNControlHostIndex, xsSubnetControlInserts=xsSubnetControlInserts, xsSubnetMatrixSDTimeMark=xsSubnetMatrixSDTimeMark, xsHostFilterTableClear=xsHostFilterTableClear, xsSubnetInPkts=xsSubnetInPkts, xsHostFilterType=xsHostFilterType, drSmon=drSmon, xsHostTopNControlGrantedSize=xsHostTopNControlGrantedSize, xsHostTopNControlRequestedSize=xsHostTopNControlRequestedSize, xsActiveApplicationsEntry=xsActiveApplicationsEntry, drSmonActiveApplicationsTable=drSmonActiveApplicationsTable, drSmonFilterAddress=drSmonFilterAddress, xsHostTopNProtocolDirLocalIndex=xsHostTopNProtocolDirLocalIndex, xsProtocolDistStatsTimeStamp=xsProtocolDistStatsTimeStamp, drSmonFilterModuleID=drSmonFilterModuleID, drSmonControlMatrixCols=drSmonControlMatrixCols, xsSubnetMatrixDSTable=xsSubnetMatrixDSTable, xsHostTopNControlIndex=xsHostTopNControlIndex, xsSubnet=xsSubnet, xsHostTopNControlOwner=xsHostTopNControlOwner, xsSubnetMatrixDSCreateTime=xsSubnetMatrixDSCreateTime, xsHostTopNIndex=xsHostTopNIndex, xsSubnetTimeMark=xsSubnetTimeMark, xsSubnetMatrixDSPkts=xsSubnetMatrixDSPkts, drSmonProtocolDirLCModuleID=drSmonProtocolDirLCModuleID, xsSubnetMatrixSDSourceMask=xsSubnetMatrixSDSourceMask, drSmonProtocolDirLCEntry=drSmonProtocolDirLCEntry, xsHostTopNControlDuration=xsHostTopNControlDuration, drSmonControlRowAddressAutoLearnMode=drSmonControlRowAddressAutoLearnMode, xsSubnetMatrixSDDestAddress=xsSubnetMatrixSDDestAddress, xsSubnetMatrixSDDestMask=xsSubnetMatrixSDDestMask, xsHostTopNNlAddress=xsHostTopNNlAddress, xsSubnetMatrixDSTimeMark=xsSubnetMatrixDSTimeMark, drSmonActiveApplicationsPkts=drSmonActiveApplicationsPkts, drSmonProtocolDirDescr=drSmonProtocolDirDescr, xsHostFilterIpMask=xsHostFilterIpMask, drSmonProtocolDirLocalIndex=drSmonProtocolDirLocalIndex, xsHostFilterStatus=xsHostFilterStatus, xsSubnetMatrixControlEntry=xsSubnetMatrixControlEntry, drSmonEntityPlacementMask=drSmonEntityPlacementMask, xsHostFilterIpxAddress=xsHostFilterIpxAddress, drSmonActiveApplicationsType=drSmonActiveApplicationsType, xsNlHostTimeStamp=xsNlHostTimeStamp, xsSubnetMatrixControlStatus=xsSubnetMatrixControlStatus, xsSubnetMatrixControlDataSource=xsSubnetMatrixControlDataSource, xsHostTopNControlStartTime=xsHostTopNControlStartTime, xsSubnetMatrixControlIndex=xsSubnetMatrixControlIndex, xsSubnetMatrixDSDestMask=xsSubnetMatrixDSDestMask, xsNumberOfProtocols=xsNumberOfProtocols, xsActiveApplicationsBitMask=xsActiveApplicationsBitMask, xsActiveApplicationsIndex=xsActiveApplicationsIndex, xsHostTopNEntry=xsHostTopNEntry, drSmonProtocolDirTable=drSmonProtocolDirTable, xsSubnetControlStatus=xsSubnetControlStatus, xsSubnetMatrixControlOwner=xsSubnetMatrixControlOwner, xsSubnetMatrixControlTable=xsSubnetMatrixControlTable, xsSmonStatus=xsSmonStatus, xsSubnetControlIndex=xsSubnetControlIndex, drSmonFilterEntry=drSmonFilterEntry, drSmonProtocolDirEntry=drSmonProtocolDirEntry, drSmonFilterStatus=drSmonFilterStatus, xsHostTopN=xsHostTopN, xsSubnetControlDataSource=xsSubnetControlDataSource, xsSmonResourceAllocation=xsSmonResourceAllocation, drSmonProtocolDirLCTable=drSmonProtocolDirLCTable, drSmonFilterIndex=drSmonFilterIndex, xsSubnetMatrixSDSourceAddress=xsSubnetMatrixSDSourceAddress, xsSubnetMatrixSDCreateTime=xsSubnetMatrixSDCreateTime, xsHostTopNRate=xsHostTopNRate, xsHostFilterIpAddress=xsHostFilterIpAddress, xsSubnetOutPkts=xsSubnetOutPkts, xsSubnetMatrixControlDeletes=xsSubnetMatrixControlDeletes, drSmonProtocolDirOwner=drSmonProtocolDirOwner, xsSubnetMatrixDSDestAddress=xsSubnetMatrixDSDestAddress, xsSubnetControlDeletes=xsSubnetControlDeletes, xsSubnetCreateTime=xsSubnetCreateTime, xsActiveApplicationsTable=xsActiveApplicationsTable, drSmonControlTable=drSmonControlTable, xsHostTopNTable=xsHostTopNTable, drSmonProtocolDirType=drSmonProtocolDirType, drSmonActiveApplicationsModuleID=drSmonActiveApplicationsModuleID, xsSubnetTable=xsSubnetTable, drSmonFilterMask=drSmonFilterMask, xsActiveApplicationsPkts=xsActiveApplicationsPkts, xsSubnetStatsTimeStamp=xsSubnetStatsTimeStamp, xsSubnetMatrixDSEntry=xsSubnetMatrixDSEntry, xsHostTopNControlRateBase=xsHostTopNControlRateBase, xsSubnetMatrixSDEntry=xsSubnetMatrixSDEntry, xsHostFilterTable=xsHostFilterTable, xsHostTopNControlTable=xsHostTopNControlTable)
| 130.684397 | 6,612 | 0.775324 | 3,899 | 36,853 | 7.328289 | 0.074891 | 0.012319 | 0.014384 | 0.019179 | 0.407308 | 0.368565 | 0.285129 | 0.258776 | 0.243342 | 0.237637 | 0 | 0.073163 | 0.080211 | 36,853 | 281 | 6,613 | 131.149466 | 0.769773 | 0.008466 | 0 | 0 | 0 | 0 | 0.102896 | 0.023651 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.032847 | 0 | 0.032847 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
ad9a70fef5b367a97d03392ad628fb8575a45853 | 31,137 | py | Python | tensorlayer/googlenet.py | yellowei/AI | 594826348dfdfdde523622bb037ff6800b7b2367 | [
"MIT"
] | null | null | null | tensorlayer/googlenet.py | yellowei/AI | 594826348dfdfdde523622bb037ff6800b7b2367 | [
"MIT"
] | null | null | null | tensorlayer/googlenet.py | yellowei/AI | 594826348dfdfdde523622bb037ff6800b7b2367 | [
"MIT"
] | null | null | null | """ GoogLeNet.
Applying 'GoogLeNet' to Oxford's 17 Category Flower Dataset classification task.
References:
- Szegedy, Christian, et al.
Going deeper with convolutions.
- 17 Category Flower Dataset. Maria-Elena Nilsback and Andrew Zisserman.
Links:
- [GoogLeNet Paper](http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Szegedy_Going_Deeper_With_2015_CVPR_paper.pdf)
- [Flower Dataset (17)](http://www.robots.ox.ac.uk/~vgg/data/flowers/17/)
"""
from __future__ import division, print_function, absolute_import
import tensorflow as tf
import tensorlayer as tl
import os
from skimage import io, transform
import numpy as np
from log import *
def rgb2gray(im):
#rgb图转灰度图
if im.ndim == 2:
return im
return np.uint8(np.dot(im[..., :3], [0.299, 0.587, 0.114]))
def ListFiles(dir,extension):
file_list = []
for path, subdirs, files in os.walk(dir):
for name in files:
if name.endswith(extension):
#将jpg图片文件全部全部存入file_list列表
file_list.extend([os.path.join(path, name)])
return file_list
def LoadImageData(folder, extension, size):
#将folder中后缀名为extension的图片文件转成大小为size的正方形矩阵
Log().info("getData, folder:" + folder)
file_list = []
for path, subdirs, files in os.walk(folder):
for name in files:
if name.endswith(extension):
#将jpg图片文件全部全部存入file_list列表
file_list.extend([os.path.join(path, name)])
#len(a):列表a长度
num = len(file_list)
data = np.zeros([num, size, size,1])
for i in range(0,num):
im = io.imread(file_list[i])
size0 = np.max(im.shape)
scale = (size-1)/size0
#print(i," , ",file_list[i],", ndim: " + str(im.ndim))
x = rgb2gray(im)
im = transform.rescale(x, scale)
data[i, 0:im.shape[0], 0:im.shape[1],0] = im[:, :]
if i%20 == 0:
Log().info("getData, file index:" + str(i) + ",total:" + str(num))
return data
def PicClassModel(x,inputSize):
#图像分类的神经网络模型
# Define the neural network structure
with tf.variable_scope("googleNet_1"):
network = tl.layers.InputLayer(x, name='input_layer')
conv1_7_7 = tl.layers.Conv2dLayer(network,
act = tf.nn.relu,
shape = [7, 7, 1, 64],
strides = [1,2,2,1],
padding='SAME',
name='conv1_7_7_s2')
pool1_3_3 = tl.layers.PoolLayer(conv1_7_7,
ksize=[1, 3, 3, 1],
strides=[1, 2, 2, 1],
padding='SAME',
pool=tf.nn.max_pool,
name='pool1_3_3_m')
pool1_3_3 = tl.layers.LocalResponseNormLayer(pool1_3_3,depth_radius=5, bias=1.0,alpha=0.0001, beta=0.75,name='pool1_3_3')
conv2_3_3_reduce = tl.layers.Conv2dLayer(pool1_3_3,
act = tf.nn.relu,
shape = [1, 1, 64, 1],
strides = [1,1,1,1],
padding='SAME',
name='conv2_3_3_reduce')
conv2_3_3 = tl.layers.Conv2dLayer(conv2_3_3_reduce,
act = tf.nn.relu,
shape = [3, 3, 1, 192],
strides = [1,1,1,1],
padding='SAME',
name='conv2_3_3')
norm2_3_3 = tl.layers.LocalResponseNormLayer(conv2_3_3,depth_radius=5, bias=1.0,alpha=0.0001, beta=0.75,name='norm2_3_3')
pool2_3_3 = tl.layers.PoolLayer(conv2_3_3,
ksize=[1, 3, 3, 1],
strides=[1, 2, 2, 1],
padding='SAME',
pool=tf.nn.max_pool,
name='pool2_3_3_s2')
inception_3a_1_1 = tl.layers.Conv2dLayer(pool2_3_3,
act = tf.nn.relu,
shape = [1, 1, 192, 64],
strides = [1,1,1,1],
padding='SAME',
name='inception_3a_1_1')
inception_3a_3_3_reduce = tl.layers.Conv2dLayer(pool2_3_3,
act = tf.nn.relu,
shape = [1, 1, 192, 96],
strides = [1,1,1,1],
padding='SAME',
name='inception_3a_3_3_reduce')
inception_3a_3_3 = tl.layers.Conv2dLayer(inception_3a_3_3_reduce,
act = tf.nn.relu,
shape = [3,3,96,128],
strides = [1,1,1,1],
padding='SAME',
name='inception_3a_3_3')
inception_3a_5_5_reduce = tl.layers.Conv2dLayer(pool2_3_3,
act = tf.nn.relu,
shape = [16,16,192,1],
strides = [1,1,1,1],
padding='SAME',
name='inception_3a_5_5_reduce')
inception_3a_5_5 = tl.layers.Conv2dLayer(inception_3a_5_5_reduce,
act = tf.nn.relu,
shape = [32,32,1,5],
strides = [1,1,1,1],
padding='SAME',
name='inception_3a_5_5')
inception_3a_pool = tl.layers.PoolLayer(pool2_3_3,
ksize=[1, 3, 3, 1],
strides=[1, 1, 1, 1],
padding='SAME',
pool=tf.nn.max_pool,
name='inception_3a_pool')
inception_3a_pool_1_1 = tl.layers.Conv2dLayer(inception_3a_pool,
act = tf.nn.relu,
shape = [32,32,192,1],
strides = [1,1,1,1],
padding='SAME',
name='inception_3a_pool_1_1')
# merge the inception_3a__
inception_3a_output = tl.layers.ConcatLayer([inception_3a_1_1, inception_3a_3_3, inception_3a_5_5, inception_3a_pool_1_1],concat_dim=3)
inception_3b_1_1 = tl.layers.Conv2dLayer(inception_3a_output,
act = tf.nn.relu,
shape = [128,128,198,1],
strides = [1,1,1,1],
padding='SAME',
name='inception_3b_1_1')
inception_3b_3_3_reduce = tl.layers.Conv2dLayer(inception_3a_output,
act = tf.nn.relu,
shape = [128,128,198,1],
strides = [1,1,1,1],
padding='SAME',
name='inception_3b_3_3_reduce')
inception_3b_3_3 = tl.layers.Conv2dLayer(inception_3b_3_3_reduce,
act = tf.nn.relu,
shape = [192,192,1,3],
strides = [1,1,1,1],
padding='SAME',
name='inception_3b_3_3')
inception_3b_5_5_reduce = tl.layers.Conv2dLayer(inception_3b_3_3_reduce,
act = tf.nn.relu,
shape = [32,32,1,1],
strides = [1,1,1,1],
padding='SAME',
name='inception_3b_5_5_reduce')
inception_3b_5_5 = tl.layers.Conv2dLayer(inception_3b_3_3_reduce,
act = tf.nn.relu,
shape = [96,96,1,5],
strides = [1,1,1,1],
padding='SAME',
name='inception_3b_5_5')
inception_3b_pool = tl.layers.PoolLayer(inception_3a_output,
ksize=[1, 3, 3, 1],
strides=[1, 1, 1, 1],
padding='SAME',
pool=tf.nn.max_pool,
name='inception_3b_pool')
inception_3b_pool_1_1 = tl.layers.Conv2dLayer(inception_3b_pool,
act = tf.nn.relu,
shape = [64,64,198,1],
strides = [1,1,1,1],
padding='SAME',
name='inception_3b_pool_1_1')
#merge the inception_3b_*
inception_3b_output = tl.layers.ConcatLayer([inception_3b_1_1, inception_3b_3_3, inception_3b_5_5, inception_3b_pool_1_1],concat_dim=3,name='inception_3b_output')
pool3_3_3 = tl.layers.PoolLayer(inception_3b_output,
ksize=[1, 3, 3, 1],
strides=[1, 2, 2, 1],
padding='SAME',
pool=tf.nn.max_pool,
name='pool3_3_3')
inception_4a_1_1 = tl.layers.Conv2dLayer(pool3_3_3,
act = tf.nn.relu,
shape = [192,192,10,1],
strides = [1,1,1,1],
padding='SAME',
name='inception_4a_1_1')
inception_4a_3_3_reduce = tl.layers.Conv2dLayer(pool3_3_3,
act = tf.nn.relu,
shape = [96,96,10,1],
strides = [1,1,1,1],
padding='SAME',
name='inception_4a_3_3_reduce')
inception_4a_3_3 = tl.layers.Conv2dLayer(inception_4a_3_3_reduce,
act = tf.nn.relu,
shape = [208,208,1,3],
strides = [1,1,1,1],
padding='SAME',
name='inception_4a_3_3')
inception_4a_5_5_reduce = tl.layers.Conv2dLayer(pool3_3_3,
act = tf.nn.relu,
shape = [16,16,10,1],
strides = [1,1,1,1],
padding='SAME',
name='inception_4a_5_5_reduce')
inception_4a_5_5 = tl.layers.Conv2dLayer(inception_4a_5_5_reduce,
act = tf.nn.relu,
shape = [48,48,1,5],
strides = [1,1,1,1],
padding='SAME',
name='inception_4a_5_5')
inception_4a_pool = tl.layers.PoolLayer(pool3_3_3,
ksize=[1, 3, 3, 1],
strides=[1, 1, 1, 1],
padding='SAME',
pool=tf.nn.max_pool,
name='inception_4a_pool')
inception_4a_pool_1_1 = tl.layers.Conv2dLayer(inception_4a_pool,
act = tf.nn.relu,
shape = [64,64,10,1],
strides = [1,1,1,1],
padding='SAME',
name='inception_4a_pool_1_1')
inception_4a_output = tl.layers.ConcatLayer([inception_4a_1_1, inception_4a_3_3, inception_4a_5_5, inception_4a_pool_1_1],concat_dim=3,name='inception_4a_output')
inception_4b_1_1 = tl.layers.Conv2dLayer(inception_4a_output,
act = tf.nn.relu,
shape = [160,160,10,1],
strides = [1,1,1,1],
padding='SAME',
name='inception_4b_1_1')
inception_4b_3_3_reduce = tl.layers.Conv2dLayer(inception_4a_output,
act = tf.nn.relu,
shape = [112,112,10,1],
strides = [1,1,1,1],
padding='SAME',
name='inception_4b_3_3_reduce')
inception_4b_3_3 = tl.layers.Conv2dLayer(inception_4b_3_3_reduce,
act = tf.nn.relu,
shape = [224,224,1,3],
strides = [1,1,1,1],
padding='SAME',
name='inception_4b_3_3')
inception_4b_5_5_reduce = tl.layers.Conv2dLayer(inception_4a_output,
act = tf.nn.relu,
shape = [24,24,10,1],
strides = [1,1,1,1],
padding='SAME',
name='inception_4b_5_5_reduce')
inception_4b_5_5 = tl.layers.Conv2dLayer(inception_4b_5_5_reduce,
act = tf.nn.relu,
shape = [64,64,1,5],
strides = [1,1,1,1],
padding='SAME',
name='inception_4b_5_5')
inception_4b_pool = tl.layers.PoolLayer(inception_4a_output,
ksize=[1, 3, 3, 1],
strides=[1, 1, 1, 1],
padding='SAME',
pool=tf.nn.max_pool,
name='inception_4b_pool')
inception_4b_pool_1_1 = tl.layers.Conv2dLayer(inception_4b_pool,
act = tf.nn.relu,
shape = [64,64,10,1],
strides = [1,1,1,1],
padding='SAME',
name='inception_4b_pool_1_1')
inception_4b_output = tl.layers.ConcatLayer([inception_4b_1_1, inception_4b_3_3, inception_4b_5_5, inception_4b_pool_1_1],concat_dim=3,name='inception_4b_output')
inception_4c_1_1 = tl.layers.Conv2dLayer(inception_4b_output,
act = tf.nn.relu,
shape = [128,128,10,1],
strides = [1,1,1,1],
padding='SAME',
name='inception_4c_1_1')
inception_4c_3_3_reduce = tl.layers.Conv2dLayer(inception_4b_output,
act = tf.nn.relu,
shape = [128,128,10,1],
strides = [1,1,1,1],
padding='SAME',
name='inception_4c_3_3_reduce')
inception_4c_3_3 = tl.layers.Conv2dLayer(inception_4c_3_3_reduce,
act = tf.nn.relu,
shape = [256,256,1,3],
strides = [1,1,1,1],
padding='SAME',
name='inception_4c_3_3')
inception_4c_5_5_reduce = tl.layers.Conv2dLayer(inception_4b_output,
act = tf.nn.relu,
shape = [24,24,10,1],
strides = [1,1,1,1],
padding='SAME',
name='inception_4c_5_5_reduce')
inception_4c_5_5 = tl.layers.Conv2dLayer(inception_4c_5_5_reduce,
act = tf.nn.relu,
shape = [64,64,1,5],
strides = [1,1,1,1],
padding='SAME',
name='inception_4c_5_5')
inception_4c_pool = tl.layers.PoolLayer(inception_4b_output,
ksize=[1, 3, 3, 1],
strides=[1, 1, 1, 1],
padding='SAME',
pool=tf.nn.max_pool,
name='inception_4c_pool')
inception_4c_pool_1_1 = tl.layers.Conv2dLayer(inception_4c_pool,
act = tf.nn.relu,
shape = [64,64,10,1],
strides = [1,1,1,1],
padding='SAME',
name='inception_4c_pool_1_1')
inception_4c_output = tl.layers.ConcatLayer([inception_4c_1_1, inception_4c_3_3, inception_4c_5_5, inception_4c_pool_1_1],concat_dim=3,name='inception_4c_output')
inception_4d_1_1 = tl.layers.Conv2dLayer(inception_4c_output,
act = tf.nn.relu,
shape = [112,112,10,1],
strides = [1,1,1,1],
padding='SAME',
name='inception_4d_1_1')
inception_4d_3_3_reduce = tl.layers.Conv2dLayer(inception_4c_output,
act = tf.nn.relu,
shape = [144,144,10,1],
strides = [1,1,1,1],
padding='SAME',
name='inception_4d_3_3_reduce')
inception_4d_3_3 = tl.layers.Conv2dLayer(inception_4d_3_3_reduce,
act = tf.nn.relu,
shape = [288,288,1,3],
strides = [1,1,1,1],
padding='SAME',
name='inception_4d_3_3')
inception_4d_5_5_reduce = tl.layers.Conv2dLayer(inception_4c_output,
act = tf.nn.relu,
shape = [32,32,10,1],
strides = [1,1,1,1],
padding='SAME',
name='inception_4d_5_5_reduce')
inception_4d_5_5 = tl.layers.Conv2dLayer(inception_4d_5_5_reduce,
act = tf.nn.relu,
shape = [64,64,1,5],
strides = [1,1,1,1],
padding='SAME',
name='inception_4d_5_5')
inception_4d_pool = tl.layers.PoolLayer(inception_4c_output,
ksize=[1, 3, 3, 1],
strides=[1, 1, 1, 1],
padding='SAME',
pool=tf.nn.max_pool,
name='inception_4d_pool')
inception_4d_pool_1_1 = tl.layers.Conv2dLayer(inception_4d_pool,
act = tf.nn.relu,
shape = [64,64,10,1],
strides = [1,1,1,1],
padding='SAME',
name='inception_4d_pool_1_1')
inception_4d_output = tl.layers.ConcatLayer([inception_4d_1_1, inception_4d_3_3, inception_4d_5_5, inception_4d_pool_1_1],concat_dim=3,name='inception_4d_output')
inception_4e_1_1 = tl.layers.Conv2dLayer(inception_4d_output,
act = tf.nn.relu,
shape = [256,256,10,1],
strides = [1,1,1,1],
padding='SAME',
name='inception_4e_1_1')
inception_4e_3_3_reduce = tl.layers.Conv2dLayer(inception_4d_output,
act = tf.nn.relu,
shape = [160,160,10,1],
strides = [1,1,1,1],
padding='SAME',
name='inception_4e_3_3_reduce')
inception_4e_3_3 = tl.layers.Conv2dLayer(inception_4e_3_3_reduce,
act = tf.nn.relu,
shape = [320,320,1,3],
strides = [1,1,1,1],
padding='SAME',
name='inception_4e_3_3')
inception_4e_5_5_reduce = tl.layers.Conv2dLayer(inception_4d_output,
act = tf.nn.relu,
shape = [32,32,10,1],
strides = [1,1,1,1],
padding='SAME',
name='inception_4e_5_5_reduce')
inception_4e_5_5 = tl.layers.Conv2dLayer(inception_4e_5_5_reduce,
act = tf.nn.relu,
shape = [128,128,1,5],
strides = [1,1,1,1],
padding='SAME',
name='inception_4e_5_5')
inception_4e_pool = tl.layers.PoolLayer(inception_4d_output,
ksize=[1, 3, 3, 1],
strides=[1, 1, 1, 1],
padding='SAME',
pool=tf.nn.max_pool,
name='inception_4e_pool')
inception_4e_pool_1_1 = tl.layers.Conv2dLayer(inception_4e_pool,
act = tf.nn.relu,
shape = [128,128,10,1],
strides = [1,1,1,1],
padding='SAME',
name='inception_4e_pool_1_1')
inception_4e_output = tl.layers.ConcatLayer([inception_4e_1_1, inception_4e_3_3, inception_4e_5_5, inception_4e_pool_1_1],concat_dim=3,name='inception_4e_output')
pool4_3_3 = tl.layers.PoolLayer(inception_4e_output,
ksize=[1, 3, 3, 1],
strides=[1, 2, 2, 1],
padding='SAME',
pool=tf.nn.max_pool,
name='pool4_3_3')
inception_5a_1_1 = tl.layers.Conv2dLayer(pool4_3_3,
act = tf.nn.relu,
shape = [256,256,10,1],
strides = [1,1,1,1],
padding='SAME',
name='inception_5a_1_1')
inception_5a_3_3_reduce = tl.layers.Conv2dLayer(pool4_3_3,
act = tf.nn.relu,
shape = [160,160,10,1],
strides = [1,1,1,1],
padding='SAME',
name='inception_5a_3_3_reduce')
inception_5a_3_3 = tl.layers.Conv2dLayer(inception_5a_3_3_reduce,
act = tf.nn.relu,
shape = [320,320,1,3],
strides = [1,1,1,1],
padding='SAME',
name='inception_5a_3_3')
inception_5a_5_5_reduce = tl.layers.Conv2dLayer(pool4_3_3,
act = tf.nn.relu,
shape = [32,32,10,1],
strides = [1,1,1,1],
padding='SAME',
name='inception_5a_5_5_reduce')
inception_5a_5_5 = tl.layers.Conv2dLayer(inception_5a_5_5_reduce,
act = tf.nn.relu,
shape = [128,128,1,5],
strides = [1,1,1,1],
padding='SAME',
name='inception_5a_5_5')
inception_5a_pool = tl.layers.PoolLayer(pool4_3_3,
ksize=[1, 3, 3, 1],
strides=[1, 1, 1, 1],
padding='SAME',
pool=tf.nn.max_pool,
name='inception_5a_pool')
inception_5a_pool_1_1 = tl.layers.Conv2dLayer(inception_5a_pool,
act = tf.nn.relu,
shape = [128,128,10,1],
strides = [1,1,1,1],
padding='SAME',
name='inception_5a_pool_1_1')
inception_5a_output = tl.layers.ConcatLayer([inception_5a_1_1, inception_5a_3_3, inception_5a_5_5, inception_5a_pool_1_1],concat_dim=3,name='inception_5a_output')
inception_5b_1_1 = tl.layers.Conv2dLayer(inception_5a_output,
act = tf.nn.relu,
shape = [384,384,10,1],
strides = [1,1,1,1],
padding='SAME',
name='inception_5b_1_1')
inception_5b_3_3_reduce = tl.layers.Conv2dLayer(inception_5a_output,
act = tf.nn.relu,
shape = [192,192,10,1],
strides = [1,1,1,1],
padding='SAME',
name='inception_5b_3_3_reduce')
inception_5b_3_3 = tl.layers.Conv2dLayer(inception_5b_3_3_reduce,
act = tf.nn.relu,
shape = [384,384,1,3],
strides = [1,1,1,1],
padding='SAME',
name='inception_5b_3_3')
inception_5b_5_5_reduce = tl.layers.Conv2dLayer(inception_5a_output,
act = tf.nn.relu,
shape = [48,48,10,1],
strides = [1,1,1,1],
padding='SAME',
name='inception_5b_5_5_reduce')
inception_5b_5_5 = tl.layers.Conv2dLayer(inception_5b_5_5_reduce,
act = tf.nn.relu,
shape = [128,128,1,5],
strides = [1,1,1,1],
padding='SAME',
name='inception_5b_5_5')
inception_5b_pool = tl.layers.PoolLayer(inception_5a_output,
ksize=[1, 3, 3, 1],
strides=[1, 1, 1, 1],
padding='SAME',
pool=tf.nn.max_pool,
name='inception_5b_pool')
inception_5b_pool_1_1 = tl.layers.Conv2dLayer(inception_5b_pool,
act = tf.nn.relu,
shape = [128,128,10,1],
strides = [1,1,1,1],
padding='SAME',
name='inception_5b_pool_1_1')
inception_5b_output = tl.layers.ConcatLayer([inception_5b_1_1, inception_5b_3_3, inception_5b_5_5, inception_5b_pool_1_1],concat_dim=3,name='inception_5b_output')
pool5_7_7 = tl.layers.PoolLayer(inception_5b_output,
ksize=[1, 7, 7, 1],
strides=[1, 1, 1, 1],
padding='SAME',
pool=tf.nn.avg_pool,
name='pool5_7_7')
#防止CNN过拟合
#当迭代次数增多的时候，可能出现网络对训练集拟合的很好（在训练集上loss很小），但是对验证集的拟合程度很差的情况
gnet = tl.layers.DropoutLayer(pool5_7_7, keep =0.4,name='dropout5_7_7')
print(gnet.outputs._shape)
#全连接 负责对网络最终输出的特征进行分类预测，得出分类结果
gnet = tl.layers.FlattenLayer(gnet, name='flatten_layer')
print(gnet.outputs._shape)
gnet = tl.layers.DenseLayer(gnet,n_units=4,act = tf.identity,name='output_layer')
print(gnet.outputs._shape)
return gnet | 60.343023 | 170 | 0.381026 | 2,955 | 31,137 | 3.723858 | 0.075127 | 0.046529 | 0.035987 | 0.059978 | 0.795165 | 0.715649 | 0.658488 | 0.598328 | 0.506997 | 0.495002 | 0 | 0.109657 | 0.531394 | 31,137 | 516 | 171 | 60.343023 | 0.644507 | 0.026464 | 0 | 0.555785 | 0 | 0 | 0.060441 | 0.019905 | 0 | 0 | 0 | 0 | 0 | 1 | 0.008264 | false | 0 | 0.014463 | 0 | 0.033058 | 0.008264 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
a8de9a4d1a76af0c606999504bb3f8bc1cc7ddbd | 868 | py | Python | club/middleware.py | dimabory/vas3k.club | 178154a8d6d2925fb392599d65da3e60082c8f37 | [
"MIT"
] | 1 | 2021-04-12T13:38:41.000Z | 2021-04-12T13:38:41.000Z | club/middleware.py | dimabory/vas3k.club | 178154a8d6d2925fb392599d65da3e60082c8f37 | [
"MIT"
] | null | null | null | club/middleware.py | dimabory/vas3k.club | 178154a8d6d2925fb392599d65da3e60082c8f37 | [
"MIT"
] | null | null | null | from django.shortcuts import render
from auth.helpers import authorized_user_with_session
from club.exceptions import ClubException
def me(get_response):
def middleware(request):
request.me, request.my_session = authorized_user_with_session(request)
response = get_response(request)
return response
return middleware
class ExceptionMiddleware:
def __init__(self, get_response):
self.get_response = get_response
def __call__(self, request):
response = self.get_response(request)
return response
def process_exception(self, request, exception):
if isinstance(exception, ClubException):
return render(
request,
"error.html",
{"title": exception.title, "message": exception.message},
status=400,
)
| 25.529412 | 78 | 0.657834 | 89 | 868 | 6.168539 | 0.41573 | 0.120219 | 0.081967 | 0.091075 | 0.116576 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004732 | 0.269585 | 868 | 33 | 79 | 26.30303 | 0.861199 | 0 | 0 | 0.086957 | 0 | 0 | 0.025346 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.217391 | false | 0 | 0.130435 | 0 | 0.565217 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
a8e38ded37ea0162533cc3250c84122b3d0b316f | 600 | py | Python | applications/qa/search.py | aliyun/alibabacloud-AnalyticDB-python-demo-AI | 84ac16aea20841561375cff982d4eb7e2fd2fb04 | [
"MIT"
] | 42 | 2020-06-28T03:51:14.000Z | 2021-10-22T03:04:11.000Z | applications/qa/search.py | aliyun/alibabacloud-AnalyticDB-python-demo-AI- | 84ac16aea20841561375cff982d4eb7e2fd2fb04 | [
"MIT"
] | 9 | 2020-07-13T10:53:51.000Z | 2022-03-12T00:45:59.000Z | applications/qa/search.py | aliyun/alibabacloud-AnalyticDB-python-demo-AI- | 84ac16aea20841561375cff982d4eb7e2fd2fb04 | [
"MIT"
] | 8 | 2020-06-28T05:50:30.000Z | 2022-02-11T06:41:19.000Z | # coding: utf-8
import requests
import json
import base64
import os
import random
import uuid
import multiprocessing
import traceback
def search(q, url):
try:
data = {
'question': q
}
response = requests.post(url, data)
for r in json.loads(response.content)['result']:
print r[0].encode('utf-8'), r[2]
except:
traceback.print_exc()
image_list_path = 'qa_data.json'
url = 'http://0.0.0.0:8004/qa/search'
q = u'如何提升网络带宽'
search(q, url)
response = requests.get('http://0.0.0.0:8004/qa/get_all_questions')
| 22.222222 | 67 | 0.61 | 86 | 600 | 4.186047 | 0.511628 | 0.033333 | 0.033333 | 0.038889 | 0.077778 | 0.077778 | 0.077778 | 0 | 0 | 0 | 0 | 0.049327 | 0.256667 | 600 | 26 | 68 | 23.076923 | 0.757848 | 0.021667 | 0 | 0 | 0 | 0 | 0.184615 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.347826 | null | null | 0.086957 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
a8ec7e2486df413a0bcdcab5a1da0476776ad5e5 | 5,867 | py | Python | cellular-automata/cellular_automata/automata_recorder.py | enthought/ets-examples | 3b2894bfe25c9f57f76996bd5818d1f0cdc77e8a | [
"Apache-2.0",
"BSD-3-Clause"
] | 3 | 2017-07-22T11:04:20.000Z | 2018-10-01T15:30:16.000Z | cellular-automata/cellular_automata/automata_recorder.py | enthought/ets-examples | 3b2894bfe25c9f57f76996bd5818d1f0cdc77e8a | [
"Apache-2.0",
"BSD-3-Clause"
] | 11 | 2018-01-18T17:06:59.000Z | 2019-12-17T12:08:42.000Z | cellular-automata/cellular_automata/automata_recorder.py | enthought/ets-examples | 3b2894bfe25c9f57f76996bd5818d1f0cdc77e8a | [
"Apache-2.0",
"BSD-3-Clause"
] | 1 | 2018-12-28T14:15:15.000Z | 2018-12-28T14:15:15.000Z | # Copyright (c) 2017, Enthought, Inc.
# All rights reserved.
#
# This software is provided without warranty under the terms of the BSD
# license included in LICENSE.txt and may be redistributed only
# under the conditions described in the aforementioned license. The license
# is also available online at http://www.enthought.com/licenses/BSD.txt
#
# Thanks for using Enthought open source!
"""
This module provides tools for recording information about a cellular automata
over time as it evolves. This includes the :py:class:`AutomataReader` class
which performs the actual recording of values, and a collection of callables
that transform states in useful ways.
"""
from functools import wraps
import numpy as np
from traits.api import Callable, HasStrictTraits, Instance, List, on_trait_change
from .cellular_automaton import CellularAutomaton
class AutomataRecorder(HasStrictTraits):
""" An object that records changes to the states of a cellular automata.
An optional :py:attr:`transform` function can be provided that will be used
to compute derived values from the states (such as counts of different
states) or only recording on certain time ticks.
Recording happens on changes to the the :py:attr:`automaton.ticks` value.
If the :py:attr:`transform` trait is :py:obj:`None`, then the current
value of the automaton's states will be added to the record.
If the :py:attr:`transform` trait is not :py:obj:`None` then that will
be called with the automaton passed to it as the only argument, and any
non-:py:obj:`None` value that is returned will be added to the
:py:attr:`record` list.
"""
#: The CellularAutomaton to record.
automaton = Instance(CellularAutomaton)
#: The record of states.
record = List
#: A function to call to compute the value to record. This should accept
#: a single CellularAutomaton as an argument and return an arbitrary value.
transform = Callable
# ------------------------------------------------------------------------
# AutomataRecorder interface
# ------------------------------------------------------------------------
def as_array(self):
""" Return the record as a single stacked array.
This presumes that the recorded values are all arrays with compatible
shapes to be stacked.
"""
return np.stack(self.record)
# ------------------------------------------------------------------------
# object interface
# ------------------------------------------------------------------------
def __init__(self, automaton=None, **traits):
super(AutomataRecorder, self).__init__(**traits)
# ensure that the automaton is set _after_ everything is set up
# this means in particular that we get first state if it is not None.
if automaton is not None:
self.automaton = automaton
# ------------------------------------------------------------------------
# Private interface
# ------------------------------------------------------------------------
def _record(self):
""" Record the (possibly transformed) states.
If the :py:attr:`transform` trait is not :py:obj:`None` then that will
be called with the automaton passed to it as the only argument, and any
non-:py:obj:`None` value that is returned will be added to the
:py:attr:`record` list.
Subclasses that want to do something more sophisticated can override
this method.
Parameters
----------
states : array
The states that will be recorded.
"""
if self.automaton is None or self.automaton.states is None:
return
if self.transform is not None:
value = self.transform(self.automaton)
else:
value = self.automaton.states
if value is not None:
self.record.append(value)
# Trait change handlers --------------------------------------------------
@on_trait_change('automaton:tick')
def _time_updated(self):
if self.automaton.tick == -1:
# automaton was reset, dump
self.record = []
else:
self._record()
@on_trait_change('automaton')
def _automaton_updated(self, automaton):
# reset the record for the new automaton
self.record = []
self._record()
def count_states(automaton):
""" A function that counts the unique states of the automata.
This is suitable for use as the :py:attr:`transform` of an
:py:class:`AutomataRecorder`.
Parameters
----------
automaton : CellularAutomaton
The cellular automaton being analyzed.
Returns
-------
counts : array
A 1D array of size 256 containing the counts of each value.
"""
states = automaton.states
uniques, counts = np.unique(states, return_counts=True)
full_counts = np.zeros(256, dtype=int)
full_counts[uniques] = counts
return full_counts
def call_if(test):
""" Decorator factory that records automaton state only if test is True.
Parameters
----------
test : callable
A callable that takes an automaton as input and returns a bool.
Returns
-------
decorator : function
The decorator that wraps the function with the test.
"""
def decorator(fn):
""" Decorator that records automaton state every only if test is True. """
@wraps(fn)
def f(automaton):
if test(automaton):
return fn(automaton)
return None
return f
return decorator
def every_nth(n):
""" Decorator factory that records automaton state every nth tick. """
def is_nth(automaton):
return automaton.tick % n == 0
return call_if(is_nth)
| 32.960674 | 82 | 0.605761 | 708 | 5,867 | 4.970339 | 0.298023 | 0.011367 | 0.017903 | 0.02046 | 0.151748 | 0.128161 | 0.104859 | 0.097187 | 0.097187 | 0.097187 | 0 | 0.002923 | 0.241861 | 5,867 | 177 | 83 | 33.146893 | 0.788219 | 0.618885 | 0 | 0.115385 | 0 | 0 | 0.011985 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.211538 | false | 0 | 0.076923 | 0.019231 | 0.538462 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
d103f2911af32ac4be2501dfd6e7d61b700508dc | 295 | py | Python | fermentor/src/WebService/FermentorsWebService.py | vortexau/OpenBrew-Py | c6ab11ed5bc45fc2776ffbfc140bf3a6113c9445 | [
"Beerware"
] | 1 | 2015-11-23T11:25:03.000Z | 2015-11-23T11:25:03.000Z | fermentor/src/WebService/FermentorsWebService.py | vortexau/OpenBrew-Py | c6ab11ed5bc45fc2776ffbfc140bf3a6113c9445 | [
"Beerware"
] | null | null | null | fermentor/src/WebService/FermentorsWebService.py | vortexau/OpenBrew-Py | c6ab11ed5bc45fc2776ffbfc140bf3a6113c9445 | [
"Beerware"
] | null | null | null |
import cherrypy
class FermentorsWebService:
def __init__(self, dbconn):
self.dbconn = dbconn
@cherrypy.expose
@cherrypy.tools.accept(media='application/json')
@cherrypy.tools.json_out()
def index(self, fermentor=0):
return 'Data for fermentor', fermentor
| 21.071429 | 52 | 0.688136 | 33 | 295 | 6 | 0.636364 | 0.10101 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004274 | 0.20678 | 295 | 13 | 53 | 22.692308 | 0.84188 | 0 | 0 | 0 | 0 | 0 | 0.115646 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0 | 0.111111 | 0.111111 | 0.555556 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
d1103caab3a22733b2f1fc56312a71ece7fa4617 | 281 | py | Python | main.py | daniilpeshkov/OPI_labs | 42ab08def8195c6ff76f845d783aa13ef10158fb | [
"MIT"
] | null | null | null | main.py | daniilpeshkov/OPI_labs | 42ab08def8195c6ff76f845d783aa13ef10158fb | [
"MIT"
] | 1 | 2022-03-30T12:49:33.000Z | 2022-03-30T13:00:00.000Z | main.py | daniilpeshkov/OPI_labs | 42ab08def8195c6ff76f845d783aa13ef10158fb | [
"MIT"
] | null | null | null | import requests
import time
def get_usd_exchange():
data = requests.get('https://www.cbr-xml-daily.ru/daily_json.js').json()
return float(data['Valute']['USD']['Value'])
def main():
print('Курс доллара:', get_usd_exchange() )
if __name__ == '__main__':
main()
| 18.733333 | 76 | 0.658363 | 39 | 281 | 4.410256 | 0.666667 | 0.069767 | 0.162791 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.153025 | 281 | 14 | 77 | 20.071429 | 0.722689 | 0 | 0 | 0 | 0 | 0 | 0.274021 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0 | 0.222222 | 0 | 0.555556 | 0.111111 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
d1311da645ec9e5a43667e92b197fce085cbb3b1 | 2,680 | py | Python | braille_experience/braille_translators/mapBrailleToAlpha.py | firekim2/testserver | 0ebd7be0e254fa825dad8be314fbfcb7b03f7a30 | [
"MIT"
] | null | null | null | braille_experience/braille_translators/mapBrailleToAlpha.py | firekim2/testserver | 0ebd7be0e254fa825dad8be314fbfcb7b03f7a30 | [
"MIT"
] | null | null | null | braille_experience/braille_translators/mapBrailleToAlpha.py | firekim2/testserver | 0ebd7be0e254fa825dad8be314fbfcb7b03f7a30 | [
"MIT"
] | null | null | null | # Contains dictionaries that map braille to English letters.
letters = {chr(10241): 'a',
chr(10243): 'b',
chr(10249): 'c',
chr(10265): 'd',
chr(10257): 'e',
chr(10251): 'f',
chr(10267): 'g',
chr(10259): 'h',
chr(10250): 'i',
chr(10266): 'j',
chr(10245): 'k',
chr(10247): 'l',
chr(10253): 'm',
chr(10269): 'n',
chr(10261): 'o',
chr(10255): 'p',
chr(10271): 'q',
chr(10263): 'r',
chr(10254): 's',
chr(10270): 't',
chr(10277): 'u',
chr(10279): 'v',
chr(10298): 'w',
chr(10285): 'x',
chr(10301): 'y',
chr(10293): 'z'}
contractions = {chr(10243): 'but',
chr(10249): 'can',
chr(10265): 'do',
chr(10257): 'every',
chr(10251): 'from',
chr(10267): 'go',
chr(10259): 'have',
chr(10266): 'just',
chr(10280): 'knowledge',
chr(10296): 'like',
chr(10253): 'more',
chr(10269): 'not',
chr(10255): 'people',
chr(10271): 'quite',
chr(10263): 'rather',
chr(10254): 'so',
chr(10270): 'that',
chr(10277): 'us',
chr(10279): 'very',
chr(10285): 'it',
chr(10301): 'you',
chr(10293): 'as',
chr(10287): 'and',
chr(10303): 'for',
chr(10295): 'of',
chr(10286): 'the',
chr(10302): 'with',
chr(10298): 'will',
chr(10278): 'his',
chr(10260): 'in',
chr(10292): 'was',
chr(10262): 'to'}
punctuation = {chr(10242): ',',
chr(10246): ';',
chr(10258): ':',
chr(10290): '.',
chr(10262): '!',
chr(10294): '()',
chr(10278): '“',
chr(10292): '”',
chr(10252): '/',
chr(10300): '#',
chr(10244): '\'',
chr(10276): '-'}
numbers = {chr(10241): '1',
chr(10243): '2',
chr(10249): '3',
chr(10265): '4',
chr(10257): '5',
chr(10251): '6',
chr(10267): '7',
chr(10259): '8',
chr(10250): '9',
chr(10266): '0'}
| 31.162791 | 61 | 0.326493 | 240 | 2,680 | 3.645833 | 0.516667 | 0.027429 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.297317 | 0.485448 | 2,680 | 85 | 62 | 31.529412 | 0.337201 | 0.021642 | 0 | 0 | 0 | 0 | 0.063511 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 2 |
d13745c8ebc99cb12665ec5074d1140a16727787 | 346 | py | Python | tds/request/sql_batch.py | by46/geek | 04b08d0dff80c524bd471ead3fe524423eebf123 | [
"MIT"
] | null | null | null | tds/request/sql_batch.py | by46/geek | 04b08d0dff80c524bd471ead3fe524423eebf123 | [
"MIT"
] | null | null | null | tds/request/sql_batch.py | by46/geek | 04b08d0dff80c524bd471ead3fe524423eebf123 | [
"MIT"
] | null | null | null | from io import BytesIO
from tds.tokens import SQLBatchStream
from .base import Request
class SQLBatchRequest(Request):
def __init__(self, buf):
"""
:param BytesIO buf:
"""
super(SQLBatchRequest, self).__init__()
self.stream = stream = SQLBatchStream()
stream.unmarshal(buf)
| 21.625 | 48 | 0.615607 | 34 | 346 | 6.029412 | 0.558824 | 0.078049 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.294798 | 346 | 15 | 49 | 23.066667 | 0.840164 | 0.054913 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.375 | 0 | 0.625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
d14d2f478c64d7d2310b6766069f4de62f52485f | 54 | py | Python | src/tensor/tensor/shape/__init__.py | jedhsu/tensor | 3b2fe21029fa7c50b034190e77d79d1a94ea5e8f | [
"Apache-2.0"
] | null | null | null | src/tensor/tensor/shape/__init__.py | jedhsu/tensor | 3b2fe21029fa7c50b034190e77d79d1a94ea5e8f | [
"Apache-2.0"
] | null | null | null | src/tensor/tensor/shape/__init__.py | jedhsu/tensor | 3b2fe21029fa7c50b034190e77d79d1a94ea5e8f | [
"Apache-2.0"
] | null | null | null | from ._shape import Shape
__all__ = [
"Shape",
]
| 9 | 25 | 0.611111 | 6 | 54 | 4.666667 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.259259 | 54 | 5 | 26 | 10.8 | 0.7 | 0 | 0 | 0 | 0 | 0 | 0.092593 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
d173091ef1fe16743c30cf15562c759ebcada11a | 2,205 | py | Python | personal/models.py | JamesMutahi/personal-gallery | 05ddec214c397cfdd16e5b029c315690cc4e9257 | [
"MIT"
] | 1 | 2019-07-18T11:03:08.000Z | 2019-07-18T11:03:08.000Z | personal/models.py | JamesMutahi/personal-gallery | 05ddec214c397cfdd16e5b029c315690cc4e9257 | [
"MIT"
] | 1 | 2021-06-10T21:44:49.000Z | 2021-06-10T21:44:49.000Z | personal/models.py | JamesMutahi/personal-gallery | 05ddec214c397cfdd16e5b029c315690cc4e9257 | [
"MIT"
] | 3 | 2019-08-26T07:00:05.000Z | 2020-10-09T11:22:23.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models
Deafult_desc = '''Lorem ipsum dolor sit amet,
agam probatus indoctum cu quo.
Est eu quod rationibus,
nam platonem sententiae no.
Eu mel vero oporteat elaboraret.'''
class Category(models.Model):
Name = models.CharField(max_length=30)
@property
def preview(self):
first = self.images.last()
return first.image.url
def __str__(self):
return self.Name
# Create your models here.
class Location(models.Model):
location_name = models.CharField(max_length=255)
def __str__(self):
return self.location_name
def save_location(self):
self.save()
def delete_location(self):
self.delete()
@classmethod
def update_location(cls, id, value):
cls.objects.filter(id=id).update(location_name=value)
class Image(models.Model):
Name = models.CharField(max_length=60)
description = models.TextField(default=Deafult_desc)
category = models.ForeignKey(Category, related_name="images")
location = models.ForeignKey(Location)
submited = models.DateTimeField(auto_now_add=True)
image = models.ImageField(upload_to='images/')
@property
def allinfo(self):
info = {
'name': self.Name,
'desc': self.description,
'image': self.image.url,
'id': self.id,
}
return str(info)
def save_image(self):
self.save()
def delete_image(self):
self.delete()
def update_image(self, Name=None, category=None):
self.Name = Name if Name else self.Name
self.category = category if category else self.category
self.save()
@classmethod
def get_image_by_id(cls, id):
return cls.objects.get(pk=id)
@classmethod
def search_by_category(cls, search_term):
images = cls.objects.filter(category__icontains=search_term)
return images
@classmethod
def filter_by_location(cls, search_term):
locations = cls.objects.filter(location__location_name__icontains=search_term)
return locations
class Meta:
ordering = ['submited']
| 25.056818 | 86 | 0.661678 | 271 | 2,205 | 5.202952 | 0.357934 | 0.028369 | 0.040426 | 0.046809 | 0.133333 | 0.055319 | 0.055319 | 0 | 0 | 0 | 0 | 0.004756 | 0.237188 | 2,205 | 87 | 87 | 25.344828 | 0.833532 | 0.020862 | 0 | 0.206349 | 0 | 0 | 0.083024 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.206349 | false | 0 | 0.031746 | 0.047619 | 0.539683 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
66faccf952a064caf3fc48f3ca13aedaf3e49932 | 212 | py | Python | setup.py | MalteHB/stedsans | 73c2bc9fe77038c80e196d2bb1d91e38c8f02e4f | [
"Apache-2.0"
] | 2 | 2021-06-07T04:22:42.000Z | 2021-06-07T06:46:10.000Z | setup.py | MalteHB/stedsans | 73c2bc9fe77038c80e196d2bb1d91e38c8f02e4f | [
"Apache-2.0"
] | null | null | null | setup.py | MalteHB/stedsans | 73c2bc9fe77038c80e196d2bb1d91e38c8f02e4f | [
"Apache-2.0"
] | null | null | null | import setuptools
with open("requirements.txt", encoding='utf-8') as f:
requirements = f.read()
setuptools.setup(
install_requires=requirements,
keywords="Geospatial Analysis NLP Danish English",
)
| 21.2 | 54 | 0.735849 | 25 | 212 | 6.2 | 0.84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005556 | 0.150943 | 212 | 9 | 55 | 23.555556 | 0.855556 | 0 | 0 | 0 | 0 | 0 | 0.278302 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.142857 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
0f01c352df4624444a8fea82fcaa3e2a1fb58a3f | 99 | py | Python | Aug - Dec 2021 JOC Course/Week 5/New Week 5 Programming Assignment 2.py | Slow-Rain/NPTEL-The-Joy-of-Computing-using-Python | e4bd830ef7a3f171a14a88f94df626c766a7649b | [
"MIT"
] | 29 | 2021-01-25T16:13:17.000Z | 2022-03-23T16:34:06.000Z | Aug - Dec 2021 JOC Course/Week 5/New Week 5 Programming Assignment 2.py | Slow-Rain/NPTEL-The-Joy-of-Computing-using-Python | e4bd830ef7a3f171a14a88f94df626c766a7649b | [
"MIT"
] | 12 | 2021-02-11T13:47:07.000Z | 2021-10-10T04:26:45.000Z | Aug - Dec 2021 JOC Course/Week 5/New Week 5 Programming Assignment 2.py | Slow-Rain/NPTEL-The-Joy-of-Computing-using-Python | e4bd830ef7a3f171a14a88f94df626c766a7649b | [
"MIT"
] | 30 | 2021-02-10T05:54:31.000Z | 2022-02-25T11:24:36.000Z | lst = [int(x) for x in input().split()]
k = int(input())
lst.sort()
print(lst[-k], end="") | 14.142857 | 40 | 0.515152 | 17 | 99 | 3 | 0.647059 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.212121 | 99 | 7 | 41 | 14.142857 | 0.653846 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.25 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
0f04a8f3b4b121d4cb8248675c3d35cf8402c50d | 148 | py | Python | BOJ2559.py | INYEONGKIM/BOJ | 5e83d77a92d18b0d20d26645c7cfe4ba3e2d25bc | [
"MIT"
] | 2 | 2019-03-05T15:42:46.000Z | 2019-07-24T15:52:36.000Z | BOJ2559.py | INYEONGKIM/BOJ | 5e83d77a92d18b0d20d26645c7cfe4ba3e2d25bc | [
"MIT"
] | null | null | null | BOJ2559.py | INYEONGKIM/BOJ | 5e83d77a92d18b0d20d26645c7cfe4ba3e2d25bc | [
"MIT"
] | null | null | null | n,k=map(int,input().split());a=[int(i) for i in input().split()];m=sum(a[:k]);s=m
for i in range(k,n):
s+=(a[i]-a[i-k])
if s>m:m=s
print(m)
| 24.666667 | 81 | 0.527027 | 39 | 148 | 2 | 0.410256 | 0.25641 | 0.153846 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.141892 | 148 | 5 | 82 | 29.6 | 0.614173 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.2 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
0f1b1ef095407f7b2c83d4abc6cd4dc671eb3f2c | 1,349 | py | Python | code/descriptor_track/train_eval/preprocess/make_external_simpt_debug.py | seungkee/2nd-place-solution-to-facebook-image-similarity-matching-track | 716667bf416239f448e4ea2730a2cc5146536719 | [
"Apache-2.0"
] | 13 | 2021-12-07T17:15:10.000Z | 2022-02-23T08:45:58.000Z | code/descriptor_track/train_eval/preprocess/make_external_simpt_debug.py | seungkee/2nd-place-solution-to-facebook-image-similarity-matching-track | 716667bf416239f448e4ea2730a2cc5146536719 | [
"Apache-2.0"
] | 2 | 2021-12-16T14:33:10.000Z | 2021-12-28T07:15:33.000Z | code/descriptor_track/train_eval/preprocess/make_external_simpt_debug.py | seungkee/2nd-place-solution-to-facebook-image-similarity-matching-track | 716667bf416239f448e4ea2730a2cc5146536719 | [
"Apache-2.0"
] | 4 | 2021-12-08T07:52:28.000Z | 2022-03-29T05:50:38.000Z | import torch
from tqdm import tqdm
import os
import numpy as np
train_features=torch.load('train_features.pt')
n = len(list(np.load('/facebook/data/images/train_imlist.npy')))
print(n)
os.makedirs('/siim/sim_pt_256', exist_ok=True)
for i in tqdm(range(n)):
a=torch.mm(train_features[i:i+1],train_features.t())
torch.save(torch.tensor(np.argpartition(np.array(a),-256)[0][-256:]),os.path.join('/siim/sim_pt_256',f'{i}_sim256.pt'))
for i in tqdm(range(n)):
a=torch.mm(train_features[i:i+1],train_features.t())
torch.save(torch.tensor(np.argpartition(np.array(a),-512)[0][-512:]),os.path.join('/siim/sim_pt',f'{i}_sim512.pt'))
os.makedirs('/storage1/sim_pt',exist_ok=True)
if n < 65746:
for i in tqdm(range(n)):
a=torch.mm(train_features[i:i+1],train_features.t())
torch.save(torch.argsort(a,descending=True)[0][:300],os.path.join('/storage1/sim_pt', f'{i}_sim2000.pt'))
else:
for i in tqdm(range(65746)):
a=torch.mm(train_features[i:i+1],train_features.t())
torch.save(torch.argsort(a,descending=True)[0][:300],os.path.join('/storage1/sim_pt', f'{i}_sim2000.pt'))
for i in tqdm(range(65746,1000000)):
a=torch.mm(train_features[i:i+1],train_features.t())
torch.save(torch.tensor(np.argpartition(np.array(a),-24)[0][-24:]), os.path.join('/storage1/sim_pt',f'{i}_sim2000.pt'))
| 48.178571 | 127 | 0.683469 | 244 | 1,349 | 3.659836 | 0.233607 | 0.174692 | 0.033595 | 0.055991 | 0.701008 | 0.701008 | 0.611422 | 0.611422 | 0.611422 | 0.611422 | 0 | 0.067545 | 0.100074 | 1,349 | 27 | 128 | 49.962963 | 0.66804 | 0 | 0 | 0.384615 | 0 | 0 | 0.171238 | 0.028169 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.153846 | 0 | 0.153846 | 0.038462 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
0f2dd70f3a13a641369f0d289155bb97f0366583 | 455 | py | Python | quantity/digger/widgets/qtwidgets/techwidget.py | wyjcpu/quantity | a53126a430f12b5bac81a52b2fe749cc497faf36 | [
"MIT"
] | null | null | null | quantity/digger/widgets/qtwidgets/techwidget.py | wyjcpu/quantity | a53126a430f12b5bac81a52b2fe749cc497faf36 | [
"MIT"
] | null | null | null | quantity/digger/widgets/qtwidgets/techwidget.py | wyjcpu/quantity | a53126a430f12b5bac81a52b2fe749cc497faf36 | [
"MIT"
] | 1 | 2021-05-11T09:33:59.000Z | 2021-05-11T09:33:59.000Z | # -*- coding: utf-8 -*-
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg
from quantity.digger.widgets.mplotwidgets.widgets import MultiWidgets
import matplotlib.pyplot as plt
class TechWidget(MultiWidgets, FigureCanvasQTAgg):
def __init__(self, parent=None, *args):
self.fig = plt.figure()
FigureCanvasQTAgg.__init__(self, self.fig)
MultiWidgets.__init__(self, self.fig, *args)
self.setParent(parent)
| 35 | 69 | 0.740659 | 51 | 455 | 6.352941 | 0.568627 | 0.074074 | 0.074074 | 0.092593 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005208 | 0.156044 | 455 | 12 | 70 | 37.916667 | 0.838542 | 0.046154 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.333333 | 0 | 0.555556 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
0f2f421bc7034f1c189702148daf7d137eb011eb | 707 | py | Python | scripts/addons/render_batcher/helper.py | Tilapiatsu/blender-custom_conf | 05592fedf74e4b7075a6228b8448a5cda10f7753 | [
"MIT"
] | 2 | 2020-04-16T22:12:40.000Z | 2022-01-22T17:18:45.000Z | scripts/addons/render_batcher/helper.py | Tilapiatsu/blender-custom_conf | 05592fedf74e4b7075a6228b8448a5cda10f7753 | [
"MIT"
] | null | null | null | scripts/addons/render_batcher/helper.py | Tilapiatsu/blender-custom_conf | 05592fedf74e4b7075a6228b8448a5cda10f7753 | [
"MIT"
] | 2 | 2019-05-16T04:01:09.000Z | 2020-08-25T11:42:26.000Z | import bpy, os, shutil, stat
def create_folder_if_neeed(path):
if not os.path.exists(path):
os.makedirs(path)
def delete_folder_if_exist(path):
if os.path.exists(path):
shutil.rmtree(path, onerror=file_acces_handler)
def file_acces_handler(func, path, exc_info):
print('Handling Error for file ' , path)
print(exc_info)
# Check if file access issue
if not os.access(path, os.W_OK):
# Try to change the permision of file
os.chmod(path, stat.S_IWUSR)
# call the calling function again
func(path)
def get_current_frame_range(context):
return context.scene.frame_end + 1 - context.scene.frame_start
def get_curr_render_extension(context):
return '.png'
| 27.192308 | 63 | 0.722772 | 112 | 707 | 4.366071 | 0.535714 | 0.03272 | 0.02863 | 0.06544 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001721 | 0.178218 | 707 | 25 | 64 | 28.28 | 0.839931 | 0.132956 | 0 | 0 | 0 | 0 | 0.045977 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.294118 | false | 0 | 0.058824 | 0.117647 | 0.470588 | 0.117647 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
0f2f92cec8069a2ac369d54a8a325970f90747a5 | 731 | py | Python | src/myblog/tests/test_views.py | kangheeyong/TEST-sanic-blog | cfd9993868de8675133324ebd410fcafa41adc19 | [
"MIT"
] | null | null | null | src/myblog/tests/test_views.py | kangheeyong/TEST-sanic-blog | cfd9993868de8675133324ebd410fcafa41adc19 | [
"MIT"
] | null | null | null | src/myblog/tests/test_views.py | kangheeyong/TEST-sanic-blog | cfd9993868de8675133324ebd410fcafa41adc19 | [
"MIT"
] | null | null | null | from .. import app
def test_url_for():
assert app.url_for('index') == '/'
assert app.url_for('about') == '/about'
assert app.url_for('static', filename='layout.css', name='css') == '/css/layout.css'
assert app.url_for('static', filename='default.png', name='profile_imgs') == '/profile_imgs/default.png'
def test_response_200():
request, response = app.test_client.get('/')
assert response.status == 200
request, response = app.test_client.get('/about')
assert response.status == 200
request, response = app.test_client.get('/css/layout.css')
assert response.status == 200
request, response = app.test_client.get('/profile_imgs/default.png')
assert response.status == 200
| 27.074074 | 108 | 0.670315 | 98 | 731 | 4.846939 | 0.255102 | 0.063158 | 0.101053 | 0.126316 | 0.534737 | 0.534737 | 0.412632 | 0.341053 | 0.341053 | 0.341053 | 0 | 0.02451 | 0.162791 | 731 | 26 | 109 | 28.115385 | 0.751634 | 0 | 0 | 0.266667 | 0 | 0 | 0.208791 | 0.068681 | 0 | 0 | 0 | 0 | 0.533333 | 1 | 0.133333 | true | 0 | 0.066667 | 0 | 0.2 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
0f4865755087766deb6030c1567368a888b5b5f2 | 24,407 | py | Python | feedbag/day2/2.passwords.py | chadnetzer/advent2020 | b992eb202ff9dd5cc353914a136337412c8bd074 | [
"MIT"
] | null | null | null | feedbag/day2/2.passwords.py | chadnetzer/advent2020 | b992eb202ff9dd5cc353914a136337412c8bd074 | [
"MIT"
] | 1 | 2020-12-06T07:51:48.000Z | 2020-12-08T05:03:11.000Z | feedbag/day2/2.passwords.py | chadnetzer/advent2020 | b992eb202ff9dd5cc353914a136337412c8bd074 | [
"MIT"
] | 8 | 2020-12-01T21:29:21.000Z | 2020-12-09T23:55:15.000Z | #original sample data
#policy = [
#"1-3 a: abcde",
#"1-3 b: cdefg",
#"2-9 c: ccccccccc"
#]
# Given puzzle data
policy = [
"3-5 f: fgfff",
"6-20 n: qlzsnnnndwnlhwnxhvjn",
"6-7 j: jjjjjwrj",
"8-10 g: gggggggggg",
"5-6 t: ttttttft",
"6-11 h: khmchszhmzm",
"4-6 q: qqbjqqqj",
"6-8 j: gtkwwjjj",
"13-14 w: lwgwrwczwwhkww",
"2-4 p: vcnptzdppvpdzp",
"4-6 n: pmlnzwrnbnxnpmwmhbnz",
"4-9 w: wwprdwwwx",
"13-20 b: rbbcbbbbbbbbsbbbbbmj",
"1-3 r: zwhrnvr",
"4-6 f: fmfgfcf",
"13-15 z: zxzzzzzzzzvxkplvzzz",
"12-18 r: phjqccgmgzmdwxgtrtb",
"5-19 s: ssssssssssssssssssss",
"6-7 d: pddqmdd",
"7-9 p: pwrlpvlhpfpppzp",
"4-5 m: mpmmmm",
"9-10 s: ssxsssssrj",
"6-9 p: lpjrvpppp",
"6-13 r: rrrzvtrgrhqxqrvrvwzr",
"1-3 p: dpjp",
"6-7 w: wkjnmww",
"1-5 r: cfqhhr",
"5-9 m: wmmlpgmqmmrm",
"12-13 x: sxgnwxxkjwrxr",
"6-8 n: lnnrnnnnn",
"10-11 q: kqqqzqqfqqqqq",
"12-17 k: kkkkkkkkkkpkkhgvnjhk",
"12-13 v: vvvvvvvvvvvvvv",
"12-15 h: hhhhhhhjkhhhhhth",
"6-7 l: hmqtlllnllnlmtqnn",
"6-9 m: mcmmmdnmh",
"3-5 k: kkhtn",
"2-4 n: tnfjmnnn",
"5-6 j: cjwlmn",
"4-11 b: bcbbkrlgcbbc",
"5-10 r: rcrcgrrrzwrrxgpzwrcm",
"3-4 n: znnn",
"11-14 s: sssjsssssssssss",
"6-7 d: rwdddddmdddddkdd",
"1-4 s: gssssskssss",
"4-5 j: jjjjzj",
"11-12 j: cjjjgpjxnjjk",
"3-6 z: zzkdzzz",
"7-9 d: mkddddqdhddgdd",
"1-9 d: rxwqcdrswdg",
"2-4 m: gmmmn",
"2-4 k: kkkmk",
"15-16 r: rrrrrrrrlrrrrrrr",
"1-11 g: grgggcgggcggp",
"7-8 q: qqqjqqgq",
"13-14 c: cxccccgccvcpccccc",
"2-5 j: txvwlls",
"3-13 w: plwqwhbwdgxcwfmwjl",
"9-11 g: ggggggggggggggggdgg",
"3-12 g: ggsggggggpgm",
"3-11 g: bcgqgxmbjpwm",
"8-9 z: zxvzrzzzzzdvzzgz",
"17-18 z: zzzxzzzzzzzzzzzzsw",
"9-10 t: ftrmtttktttttdtmdk",
"15-17 r: rjrrprrrrrrrrrrfrrrr",
"7-8 k: kkkkkkkkk",
"6-13 n: nnnvnfgntnnnjnnxh",
"17-19 l: llllflllllllllllqlrl",
"11-13 d: hdlddddddhxddddkd",
"13-17 h: hhhhhhhhhhhhnhhhjhhh",
"1-12 c: ncccczwcnctcwcc",
"4-5 w: wgwkl",
"12-13 w: wwwwwwwwwwwwfwww",
"3-12 s: scssgwshsspsss",
"15-17 w: wwwwwcwxmhwwwwwwwww",
"1-3 x: xxxxw",
"8-9 p: mpppppppzptp",
"11-12 n: nntnbnnnnnmx",
"2-10 x: xrspbmkcthqsdxrdxwx",
"13-14 l: lllllllpllllll",
"5-10 x: xxxxjxjdrx",
"7-8 k: kkkkkkjk",
"9-11 k: vkkkkkkvkkzddbzr",
"3-8 r: lbrrcwbdf",
"6-14 l: lgwllrgllllllgllll",
"6-9 q: nqqkhqqtqgqc",
"2-4 g: ggxggggggg",
"12-13 k: kkkkkjkkkkkvf",
"5-9 b: scvbbpzbbbzbfb",
"16-17 d: mdddddddddddddcttd",
"4-10 l: lllflllllllllllllll",
"3-6 q: qqqqqtqqqq",
"1-3 n: pblsghl",
"9-11 v: bvvvmvfvvgtvfpv",
"4-5 s: ssshq",
"5-8 g: ggwgnggp",
"1-4 f: ffmr",
"4-5 g: ggwzs",
"4-5 h: fhhqs",
"10-17 l: clhlllhslxpgljpvlrkl",
"7-9 m: pnswhtmvmsrmjwrbfz",
"6-16 v: vvvvqcvvvdzvjvldvv",
"5-6 c: cntcrl",
"12-13 n: nnnnnnnnnnnnln",
"2-4 w: wwww",
"2-13 w: swrqssmmwrxtw",
"15-16 z: zzzzzzzzzzzzzzgqzzz",
"6-8 c: cctvkbdcwcbvhc",
"1-2 w: wwzdwjtm",
"1-3 z: mzzh",
"6-13 t: fttttdwtttttkht",
"3-9 g: cggfjgqngwmj",
"1-5 k: pkkkkkkrk",
"1-5 q: qknqd",
"7-11 t: tttttckttkb",
"6-7 q: qqqqqbl",
"16-17 c: ccccccccccccccctc",
"2-5 v: vfcnvlvvvxvrnvvvvvv",
"1-5 w: nwtwnnwwhtwwdwwww",
"2-10 v: ftvxxbjzlqctp",
"5-7 d: nddddgddjdbk",
"8-11 s: wxqjwkcsflssm",
"17-20 v: vvvvvvvvpvgvvvvvvvvv",
"6-8 w: wwlwwwqfw",
"13-14 r: rrrrgrrrrrrrrr",
"5-6 t: ttttzq",
"13-14 c: cccccccccccccc",
"11-12 k: kwzkkkbdkjkk",
"10-11 t: ttttpttttrwwtttt",
"3-4 w: ljwwww",
"7-8 q: ggqzdvqqw",
"1-3 z: zzsg",
"1-2 c: crjvdhgwckszmzpcjmr",
"10-11 n: nngnntnnnqn",
"7-16 w: bwdgwwwgwwnnqtcwc",
"4-16 v: vfkvqvvsvnjhfvvv",
"10-11 p: fgbhpzqvkmn",
"10-11 w: wswgwqwszwwhwnwww",
"15-16 t: stwtfxttthptttttt",
"1-3 v: vlvsdmrv",
"5-8 z: zzzzfzzz",
"14-15 t: ttpvtrlqtlcdrlv",
"2-6 b: qwfnbkc",
"6-9 p: jppjpspplm",
"3-4 s: brgqssz",
"2-6 q: cqwqlq",
"13-14 d: rrdljqdddddcxzdc",
"8-13 s: tsnssssssssrcssrssq",
"7-8 d: dwddddgl",
"9-15 b: gspmhlgbbzbbbrbt",
"3-4 h: khhh",
"3-4 c: nkccpmcct",
"6-7 g: ggggggg",
"17-18 p: ppppppppppppppppjnp",
"2-6 f: rfjxtff",
"3-4 g: ggvg",
"7-9 k: kkkkkkkkkkk",
"11-16 f: fjdffrtfffjfdffcln",
"4-8 w: lhpdwbnfssswwfswwwrw",
"5-9 l: lvlllflll",
"5-6 t: wtrtlr",
"4-8 m: mnmmjgqtgs",
"5-11 n: nnrngbnntnk",
"5-8 s: ssssfssss",
"7-14 m: hrnbhsfcvdmxbmvzfvnq",
"1-5 x: xxxxxxxxwxxdg",
"1-10 v: vcjvvjvvvv",
"5-10 l: vvdmhskmprszklvvl",
"3-17 d: dsddkddddddqddddfjdd",
"9-13 p: pppppppptpppqp",
"12-13 h: hhhhhhhhhhjhh",
"1-4 z: mrvlzlzhzlp",
"3-4 h: hhmc",
"7-17 w: wwwwwwwwwwwwwwwwww",
"6-8 z: cgzxzznzzdhcvwh",
"4-5 g: mgggg",
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"14-15 q: qqqqqdqqqqqqqqq",
"7-10 r: rrxrrqrrxcbr",
"1-13 d: fmgjzgqhdhddd",
"4-6 g: mnggxttn",
"6-7 v: gwtmscl",
"11-14 g: gggnmgggggjggcgggrgg",
"17-18 k: gcslskskkkwkwkklkk",
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"1-9 d: dddddddddddd",
"1-13 j: mnjjzckxzjjdj",
"1-2 j: hwrqjxxcj",
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"2-10 x: wxnqjddpxxpxw",
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"3-4 q: qnqs",
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"7-9 t: jdsltcgttdttd",
"9-10 q: xvqjqqqwqqqqqpqq",
"6-9 b: bbkbnbgbbb",
"2-5 t: ttcjtbkb",
"7-8 r: rdrrqrnrrrrrvp",
"2-4 f: pnfqfffvpfffffhbffv",
"10-12 z: kzzzzzzzzrzpzszz",
"4-5 m: tmmgxlm",
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"1-5 d: dwdkd",
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"8-20 h: hhgnchpthzhhhhqqwhcz",
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"5-13 b: bbbbtbbbbbbbfbbbg",
"7-10 d: cddlddgdqkld",
"4-6 q: kqqqqq",
"5-11 r: rrrvrrrsrjrr",
"7-10 t: tttgtltttbt",
"13-14 h: hhhhhqhhhhhhndh",
"3-4 s: dsss",
"6-12 w: jwwtxwwwkkwbw",
"7-8 v: cvvgnvvv",
"12-16 q: qqqqqqqqxvqqqrqqqq",
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"15-16 c: ckcccdccccccgccdcccn",
"2-7 s: sscxswskxhchxpfs",
"2-3 h: hhlh",
"2-6 p: ppppppp",
"6-8 r: ztmrsjqtrk",
"1-2 r: drsdvpmzdn",
"6-7 v: vqvvvgp",
"5-6 g: gggggg",
"3-7 d: tfkddmjzjgdxzlkd",
"16-17 b: bbwbbbbbbbbbbbwbt",
"2-11 b: hbrwqqhkcrbbvmx",
"5-11 f: ffffqfffffffff",
"2-5 n: nnwhn",
"8-11 j: jxjsjjmjkjkjhjx",
"1-3 h: hhhh",
"5-12 t: pttttszttwvlt",
"7-8 q: mqqqqqqqtkq",
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"6-7 l: ljzqklhmm",
"3-5 k: bkkkrk",
"6-8 x: xxxxxlxcxxxbx",
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"8-9 l: cwmllhslwv",
"14-15 z: zzzzzzzzrzzzzcz",
"11-12 f: sfccmxxffsfg",
"5-6 q: qqqqqqqq",
"12-15 t: tttttttttttttttt",
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"4-5 b: fbcbb",
"5-7 t: tttstft",
"2-4 h: vjmr",
"4-6 r: rrfrprr",
"18-19 x: xxkxxxxxxxxxxxxxxxxx",
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"6-11 t: cxtttnnfttt",
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"12-13 x: lzvxjxxxcxxxq",
"12-13 p: ltwhhhqvdjptbsw",
"7-9 z: zzzzzztzn",
"4-5 g: ggqlgg",
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"3-5 g: grhgk",
"14-19 z: zrzzbzztszpzvzbdfzm",
"7-11 d: tdjbcdpdddb",
"3-7 j: jpqjjjj",
"1-2 m: mcxklcmmws",
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"1-5 g: kgngw",
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"9-11 t: tbtbtrsrfzntwqq",
"13-16 m: mmmmmmmmmmmmmmmmm",
"13-18 b: bbbbbbbpqlbbbtbtpxb",
"9-11 w: wclwwwrwwwkhww",
"7-13 b: bbbbbbbwbbbbb",
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"3-4 r: rjrr",
"4-6 m: mdmdmmmm",
"6-17 h: kjrkchhnfhqqcrmhhhdh",
"6-9 j: vjjgcjjjpdj",
"7-9 x: xxxxsxxxxx",
"8-16 j: jjjjjgjnjjjjjjjczd",
"6-8 t: tttttttd",
"7-17 s: ssmsspvsssspssssfssl",
"3-10 f: cgffsqxhdmrvdf",
"1-3 f: wfpf",
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"3-4 n: nnkn",
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"10-11 l: lllxlllllllsl",
"5-7 d: ddbddtddv",
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"11-12 s: ssssssssssss",
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"8-10 q: lnwqqqqqqsqhgqgbq",
"2-3 l: llll",
"14-17 d: gdddtlfmrdscgsqcmkm",
"5-8 w: tmmskwpq",
"16-17 b: cbbbpzbbrrbnkbbbbgj",
"14-17 b: bbbjbbbbbbbxbvbdszbb",
"9-10 q: qqqqqtqqqqr",
"5-6 t: ctgttztrtn",
"2-3 f: gcfgw",
"3-8 d: ddzddddsddddddd",
"15-16 g: ggggggjggggggggg",
"4-10 m: mcmmmmmmmmmvmmmm",
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"2-5 j: zjjjjj",
"2-3 r: xrrrqlxl",
"17-19 c: cccrcccgcwcchccccdcc",
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"17-18 n: nnnnnnnnnnnnnnnnqv",
"8-10 b: lqzrtbzbrb",
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"5-9 x: xxxsnxnxk",
"2-11 t: stxbxwssmgthttx",
"6-13 t: ktbktrtqcnlrgtvtwt",
"10-12 q: qqqqqqqqqrqq",
"14-15 q: znptzmgllrfrqrf",
"2-13 f: ffffffcffffff",
"9-10 h: hrbhnhhhhhhhh",
"8-14 k: lskskkkfzkkkkmkkm",
"1-3 g: kbmswhmghvwvnwxzzk",
"2-4 v: vttv",
"2-3 h: qhhmhghbh",
"6-13 t: ttgtttttktttdttt",
"7-9 v: vvrrvvvvvv",
"5-6 z: hcfwdr",
"5-13 g: sgmgggcggggggjrggggk",
"10-14 k: kzkkkkkkdskkktkkk",
"1-2 j: ptjj",
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"6-14 f: ffffffffffffff",
"11-15 d: ddddddddddzdpdn",
"3-5 t: ttmtz",
"6-7 x: kxvxxxx",
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"3-4 w: gwpq",
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"1-5 f: ffffg",
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"8-9 n: nnknnnxmnnn",
"9-10 v: vvsvvsvvqcvvpp",
"9-11 x: xxxxxxxxxwl",
"3-6 h: bwqxnrhkhhwhhh",
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"6-7 j: jjjjjjj",
"15-16 g: sggggggggqgclgggmggw",
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"5-10 n: nnnnznnnnrn",
"4-6 m: zmmbzg",
"10-11 c: cpdndvlfltc",
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"1-2 t: rwxgz",
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"1-2 n: snnn",
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"3-4 b: bsnjzbb",
"13-14 g: tggztfgdggngmglgg",
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"7-8 h: wpmjhbgg",
"4-5 p: pcpkvp",
"14-15 s: ssrssssssssssjs",
"14-15 x: xxxzxxgxxtxxxxqx",
"6-7 m: nwmfmxmm",
"6-8 k: hsknkmvhkgkkfzkjf",
"4-5 s: sssms",
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"11-12 r: zrrkcrrrrrlh",
"7-9 v: vhqvlvwvzqwqvrxvjnf",
"1-5 r: rvmjr"
]
valid_pass = 0
for line in (policy):
num,name,letters = line.split()
pos1,pos2 = num.split("-")
value = name[0]
pos1 = int(pos1) - 1
pos2 = int(pos2) - 1
if letters[pos1] == value and letters[pos2] == value :
pass
elif letters[pos1] != value and letters[pos2] != value:
pass
elif letters[pos1] == value or letters[pos2] == value:
valid_pass += 1
print valid_pass
| 23.765336 | 59 | 0.663007 | 4,079 | 24,407 | 3.966413 | 0.261829 | 0.004821 | 0.000927 | 0.002349 | 0.006304 | 0.006304 | 0.006304 | 0.006304 | 0.006304 | 0.006304 | 0 | 0.128891 | 0.128693 | 24,407 | 1,026 | 60 | 23.788499 | 0.631901 | 0.003974 | 0 | 0.001969 | 0 | 0 | 0.81734 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.004921 | 0 | null | null | 0.000984 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
0f5166632f87139e788fa82b75befacc268c0b0f | 3,129 | py | Python | Pandas_test/test1.py | Grade-pan/python-base | bcb69052a6e9299dee45b91468e30b1305d82db3 | [
"MulanPSL-1.0"
] | 3 | 2021-12-05T02:57:21.000Z | 2022-01-02T01:23:41.000Z | Pandas_test/test1.py | Grade-pan/python-base | bcb69052a6e9299dee45b91468e30b1305d82db3 | [
"MulanPSL-1.0"
] | null | null | null | Pandas_test/test1.py | Grade-pan/python-base | bcb69052a6e9299dee45b91468e30b1305d82db3 | [
"MulanPSL-1.0"
] | null | null | null | import pandas as pd
import numpy as np
# s = pd.Series([1, 2, 3, np.nan], index=['A', 'B', 'C', 'D'])
# print(s)
# dates = pd.date_range('20191029', periods=5)
# print(dates)
# df = pd.DataFrame(np.random.rand(5, 5), columns=['a', 'b', 'c', 'd', 'e'])
# print(df)
# df1 = pd.DataFrame({
# 'A': 1,
# 'B': pd.date_range('20191029', periods=4),
# 'C': pd.Series(np.arange(4)),
# 'D': pd.Categorical(['test', 'train', 'test', 'train'])
# })
# print(df1)
# print(df1.dtypes)
# print(df1.index)
# print(df1.columns)
# print(df1.values)
# noteSeries = pd.Series(['C', 'D', 'E', 'F', 'G', 'A', 'B'])
# index = [1, 2, 3, 4, 5, 6, 7]
# weekdaySeries = pd.Series(['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun'])
# index = [1, 2, 3, 4, 5, 6, 7]
# df2 = pd.DataFrame([noteSeries, weekdaySeries])
# print(df2)
# # df2["No."] = pd.Series([1, 2, 3, 4, 5, 6, 7])
# # print('df2:\n{}\n'.format(df2))
#
# df3 = pd.DataFrame({"note": ["C", "D", "E", "F", "G", "A", "B"],
# "weekday": ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"]})
# print("df3:\n{}\n".format(df3))
# del df3["note"]
# print('df3:\n{}\n'.format(df3))
# df1 = pd.DataFrame(np.arange(400).reshape(20, 20))
# df1.columns = ['column1', 'column2', 'column3', 'column4', 'column5', 'column6', 'column7', 'column8', 'column9',
# 'column10', 'column10', 'column12', 'column13', 'column14', 'column15', 'column16', 'column17',
# 'column18',
# 'column19', 'column20']
# df1.index = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T']
# print(df1)
# print(df1.index)
# print(df1.columns)
# print(df1.iloc[[1], 0])
# print(df1.loc[['B'], 'column1'])
# df1 = pd.read_excel('D:\\China_weather\\db_weather.xlsx')
# print(df1)
# print(df1.iloc[[128], np.arange(9)])
# print(df1.describe()) # 数字总结
# print(df1.T) # 数据翻转
# url = 'http://www.weather.com.cn/textFC/xn.shtml'
# dfs = pd.read_html(url)
# print(dfs)
from PIL._imaging import display
# print(7 in [1, 2, 3, 4, 5])
# print(set([1, 2, 3]) & set([2, 3, 4])) # 交集
# print(set([1, 2, 3]) | set([2, 3, 4])) # 并集
# number = pd.read_csv('H:\\pandas中文参考手册 (cookbook翻译版) 完整版PDF\\pandas-cookbook-code-notes_jb51\\t1.csv')
# # A = number['A']
# # print(A)
# # A = A.isnull().sum()
# # print(A)
# print(number.tail())
# print(number.columns)
# print(number.count())
# print(number.describe())
# print(number.isnull().any().any())
# print(number != np.nan)
# print(number.shape)
# print(number.T)
# print(number.info())
# print(number.describe(include=[np.number], percentiles=[.01, .05, .10, .25, .5, .75, .9, .95, .99]).T)
# A = number.memory_usage(deep=True)
# print(A)
# # 改变数据类型 由int64变为int8
# # 任何数值类型的列，只要有一个缺失值，就会成为浮点型；这列中的任何整数都会强 制成为浮点型
# number['A'] = number['A'].astype(np.int8)
# number['B'] = number['B'].astype(np.int8)
# number['C'] = number['C'].astype(np.int8)
# number['1'] = number['1'].astype(np.int8)
# A = number.memory_usage(deep=True)
# print(A)
# print(number.dtypes)
data_url = "https://kyfw.12306.cn/otn/leftTicket/init?linktypeid=dc" # 填写url读取
df = pd.read_html(data_url)
print(df)
| 35.556818 | 115 | 0.569831 | 475 | 3,129 | 3.724211 | 0.364211 | 0.063313 | 0.011871 | 0.009045 | 0.224421 | 0.166761 | 0.14528 | 0.109666 | 0.01922 | 0 | 0 | 0.064783 | 0.151486 | 3,129 | 87 | 116 | 35.965517 | 0.601507 | 0.886545 | 0 | 0 | 0 | 0 | 0.209924 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 0.166667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
0f58e88aaabefc0b08a28dda07a7046980d8c0bd | 262 | py | Python | src/iert_news/migrations/0005_auto_20190211_1640.py | MetricsGroup/IERT-Webapp | 9e43f1775767412898f9340b9cc84196eb4abfdb | [
"MIT"
] | 3 | 2019-04-25T11:19:22.000Z | 2020-05-10T20:41:12.000Z | src/iert_news/migrations/0005_auto_20190211_1640.py | MetricsGroup/IERT-Webapp | 9e43f1775767412898f9340b9cc84196eb4abfdb | [
"MIT"
] | 5 | 2020-06-17T05:16:27.000Z | 2022-01-13T02:15:56.000Z | src/iert_news/migrations/0005_auto_20190211_1640.py | MetricsGroup/IERT-Webapp | 9e43f1775767412898f9340b9cc84196eb4abfdb | [
"MIT"
] | 3 | 2020-06-13T10:40:27.000Z | 2021-10-13T15:45:50.000Z | # Generated by Django 2.1.5 on 2019-02-11 16:40
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [("iert_news", "0004_auto_20190211_1631")]
operations = [migrations.RenameModel(old_name="news", new_name="new")]
| 23.818182 | 74 | 0.736641 | 37 | 262 | 5.054054 | 0.810811 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.136564 | 0.133588 | 262 | 10 | 75 | 26.2 | 0.687225 | 0.171756 | 0 | 0 | 1 | 0 | 0.181395 | 0.106977 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
0f78901716c866eb2c049c99786575c2fe82ea8b | 1,172 | py | Python | setup.py | andrewdodd/docopt_uc | 2540ce6121c37f59e2c82cd5dfc59f50784f40cb | [
"MIT"
] | 6 | 2019-08-25T16:14:41.000Z | 2022-01-24T02:24:19.000Z | setup.py | andrewdodd/docopt_uc | 2540ce6121c37f59e2c82cd5dfc59f50784f40cb | [
"MIT"
] | null | null | null | setup.py | andrewdodd/docopt_uc | 2540ce6121c37f59e2c82cd5dfc59f50784f40cb | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from setuptools import setup, find_packages
setup(
name="docopt-uc",
description="A docopt library suitable for microcontrollers.",
license="MIT",
version="1.0.2",
author="Andrew Dodd",
author_email="andrew.john.dodd@gmail.com",
maintainer="Andrew Dodd",
maintainer_email="andrew.john.dodd@gmail.com",
keywords=["docopt", "microcontroller", "cli"],
packages=find_packages(where="src"),
package_dir={"": "src"},
package_data={'docopt_uc': ['templates/*.c', 'templates/*.h']},
zip_safe=False,
classifiers=[
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"License :: OSI Approved :: MIT License",
"Natural Language :: English",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.3",
"Programming Language :: Python :: 3.4",
"Programming Language :: Python :: 3.5",
"Programming Language :: Python :: 3.6",
],
install_requires=["docopt", "jinja2"],
entry_points={'console_scripts': [
'docopt-uc = docopt_uc.docopt_uc:main',
]})
| 33.485714 | 67 | 0.612628 | 128 | 1,172 | 5.507813 | 0.585938 | 0.056738 | 0.177305 | 0.184397 | 0.153191 | 0.076596 | 0 | 0 | 0 | 0 | 0 | 0.016322 | 0.21587 | 1,172 | 34 | 68 | 34.470588 | 0.750816 | 0.035836 | 0 | 0 | 0 | 0 | 0.510638 | 0.067376 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.033333 | 0 | 0.033333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
7e1f2dd8db4f77b587d25ee0a26186e9bb8f397a | 418 | py | Python | appserver/datetimefield/admin.py | sinag/SWE574-Horuscope | 9725dd356cbfd19f0ce88d4a208c872be765bd88 | [
"MIT"
] | null | null | null | appserver/datetimefield/admin.py | sinag/SWE574-Horuscope | 9725dd356cbfd19f0ce88d4a208c872be765bd88 | [
"MIT"
] | null | null | null | appserver/datetimefield/admin.py | sinag/SWE574-Horuscope | 9725dd356cbfd19f0ce88d4a208c872be765bd88 | [
"MIT"
] | 1 | 2020-08-07T12:54:51.000Z | 2020-08-07T12:54:51.000Z | from django.contrib import admin
from datetimefield.models import DateTimeField
class DateTimeFieldAdmin(admin.ModelAdmin):
fieldsets = [
(None, {'fields': ['instance', 'property', 'value']}),
]
list_display = ('id', 'instance', 'property', 'value')
list_filter = ['instance', 'property']
search_fields = ['instance', 'property']
admin.site.register(DateTimeField, DateTimeFieldAdmin)
| 26.125 | 62 | 0.686603 | 39 | 418 | 7.282051 | 0.589744 | 0.225352 | 0.15493 | 0.176056 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.162679 | 418 | 15 | 63 | 27.866667 | 0.811429 | 0 | 0 | 0 | 0 | 0 | 0.196172 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.7 | 0 | 0 | 0 | 0 | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
7e254c7c7fbd33244e8e6021609ebce5b6dca24b | 654 | py | Python | supriya/ugens/Dbufwr.py | deeuu/supriya | 14fcb5316eccb4dafbe498932ceff56e1abb9d27 | [
"MIT"
] | null | null | null | supriya/ugens/Dbufwr.py | deeuu/supriya | 14fcb5316eccb4dafbe498932ceff56e1abb9d27 | [
"MIT"
] | null | null | null | supriya/ugens/Dbufwr.py | deeuu/supriya | 14fcb5316eccb4dafbe498932ceff56e1abb9d27 | [
"MIT"
] | null | null | null | import collections
from supriya import CalculationRate
from supriya.ugens.DUGen import DUGen
class Dbufwr(DUGen):
"""
A buffer-writing demand-rate UGen.
::
>>> dbufwr = supriya.ugens.Dbufwr(
... buffer_id=0,
... source=0,
... loop=1,
... phase=0,
... )
>>> dbufwr
Dbufwr()
"""
### CLASS VARIABLES ###
__documentation_section__ = "Demand UGens"
_ordered_input_names = collections.OrderedDict(
[("source", 0.0), ("buffer_id", 0.0), ("phase", 0.0), ("loop", 1.0)]
)
_valid_calculation_rates = (CalculationRate.DEMAND,)
| 19.818182 | 76 | 0.547401 | 65 | 654 | 5.307692 | 0.476923 | 0.017391 | 0.052174 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.026258 | 0.301223 | 654 | 32 | 77 | 20.4375 | 0.728665 | 0.344037 | 0 | 0 | 0 | 0 | 0.097297 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.777778 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
7e2a07fc37e09f74448ba47450f84919292d9d08 | 360 | py | Python | creational/prototype.py | kimgea/design_patterns | def656f50c4f26e25f8a0d2920041c2f002dc2d0 | [
"MIT"
] | null | null | null | creational/prototype.py | kimgea/design_patterns | def656f50c4f26e25f8a0d2920041c2f002dc2d0 | [
"MIT"
] | null | null | null | creational/prototype.py | kimgea/design_patterns | def656f50c4f26e25f8a0d2920041c2f002dc2d0 | [
"MIT"
] | null | null | null | """
Lol, only need to use copy.deepcopy in python
"""
import copy
class A(object):
def __init__(self,text="test"):
self.text = text
def __str__(self):
return self.text
def clone(self):
return copy.deepcopy(self)
a = A("test2")
b = copy.deepcopy(a)
c = a.clone()
print (a)
print (b)
print (c) | 13.846154 | 49 | 0.558333 | 51 | 360 | 3.784314 | 0.490196 | 0.186529 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004 | 0.305556 | 360 | 26 | 50 | 13.846154 | 0.768 | 0.125 | 0 | 0 | 0 | 0 | 0.029605 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.214286 | false | 0 | 0.071429 | 0.142857 | 0.5 | 0.214286 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
7e2da4166b578747734c00a74db2a1363372b6bd | 1,985 | py | Python | com/wy/study/S_Test.py | mygodness100/Python | bc3f979156d5de5e698371cc23885323cbc32d9d | [
"Apache-2.0"
] | null | null | null | com/wy/study/S_Test.py | mygodness100/Python | bc3f979156d5de5e698371cc23885323cbc32d9d | [
"Apache-2.0"
] | null | null | null | com/wy/study/S_Test.py | mygodness100/Python | bc3f979156d5de5e698371cc23885323cbc32d9d | [
"Apache-2.0"
] | null | null | null | """
Created on 2018�?5�?13�?
@author: wanyang
twisted框架暂不支持python3,只是还没修改�?,现在是否支持,可查官网,类似于httpclient
数据结构:frozenset(不可变集�?),双向队列(队列),单项队列(�?)
当执行某故意python文件的时�?,可以直接在该文件中取得__name__,入口文件的__name__就是__main__的字符串,
若是被其他py文件调用,则__name__就是被调用文件的完整路径�?
深浅拷贝:深拷贝就是重新开辟一块内存放入新的变�?,浅拷贝就是都有原变量的地�?
异常:
try:
except Exception,e:
finally:
方法或其他需要进行操作的地方,若不进行操作,可使用pass关键�?,但是不能�?么都不写,会报�?
异常,日志,python自带,但是不知道有没有框架
zip:将2个元组强行合并成一个类似map一样的组成的元组,可以强制转换为list,可以用enumerate迭代,
使用enumerate对一个数组或list或map进行迭代的时候会返回�?个类似map的对�?
第一个参数是array或list中的元素在列表中的位�?,第二个参数是元素的�??
用zip转换的元�?,若元组个数不�?,以短的为�?,多个舍弃
__init__:每个包下面自动生成的__init__文件,可以让该包中的所有文件都能被其他包导入使�?,如果没有这个文件
其他包将无法使用该包下的文件,在每个文件中都会有一个内置的__init__,当直接指定该文件的使�?,
__init__=="__main__",当该文件是被其他文件调用的使�?,__init__等于该文件的名称
__all__:写在自动生成的__init__文件�?,以元组的形式,写入可以导入的包�?,只要不在这个元组里的,即使导入也无法使用类里的方法
制作�?个可以安装到系统的自己的模块:�?上查�?,�?要先制作�?个安装包,然后打包之后安装,之后可以像系统自带的
包一�?,直接在任务python中用import引入
在一个方法里面不能修改一个基本类型全�?变量,包括str,必须要加上global,例如global a,之后才可以修�?.
否则只能引用,但是可以直接修改对象
当这个基本类型当作参数传递到方法里时,是可以修改的,但是只在�? 方法内改变参�?,不影响全�?
在方法里面对参数进行运算�?,a+=a,和a=a+a是不�?样的结果,后一种是先定义一个变�?,已经不再是传递的参数
的地�?�?,这跟java里很不一�?,可变性太�?,因为java里的元组等不能使�?+=运算,但是python中各种类型都可以
"""
# !/usr/bin/env python
from _functools import reduce
# python的源码格式为py,编译后的为pyc,经过优化的为pyo
# 编译
# import py_compile
# py_compile("study")
# 优化
# python -O -m py_compile study.py
# '''3个单引号或双引号里可使用制表符
print("""d,
fdsfd
dsfdwe
""")
str1 = input("输入参数:")
print(str1)
print(__name__)
# 可定义对应个数的参数直接取出元组或数组的参数,并赋值到变量
aa, bb, cc = ["fdsf", "fdsgfd", "gfdg"]
# lambda表达式,必须使用关键字lambda,并且需要赋值给一个变量,类似js中的变量方法
l = lambda x, y: x * y
# 调用lambda函数
l(5, 6)
listArr = [1, 2, 34, 56, 6]
tupl1=(1,2,34,56,6)
# reduce函数类似于递归,第一个参数可以是一个方法,第二个参数是方法作用的列表
# 第一个参数会从list中拿值作为第一个参数的参数,然后将返回值作为参数,继续和下一个参数进行运算,直到list末尾
n=reduce(lambda x,y: x*y, range(1,9))
print(n)
| 25.779221 | 75 | 0.711335 | 257 | 1,985 | 5.447471 | 0.661479 | 0.005714 | 0.02 | 0.012857 | 0.024286 | 0 | 0 | 0 | 0 | 0 | 0.022166 | 0.018278 | 0.145592 | 1,985 | 76 | 76 | 26.118421 | 0.78125 | 0.831738 | 0 | 0 | 0 | 0 | 0.162939 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.066667 | 0 | 0.066667 | 0.266667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
7e5a52d8c0a3d15fabe0b6b863a2f4eae377fcd8 | 4,001 | py | Python | test/test_links_generator.py | cuamckuu/tg-inviter | 80b8d4664d1e2628b46ac1a6d58f8495c408d4b4 | [
"MIT"
] | 20 | 2020-08-24T19:11:38.000Z | 2022-03-17T19:24:50.000Z | test/test_links_generator.py | bequirky12/tg-inviter | 5cad1bc1afce101be03a2cee805931e77b7f6842 | [
"MIT"
] | null | null | null | test/test_links_generator.py | bequirky12/tg-inviter | 5cad1bc1afce101be03a2cee805931e77b7f6842 | [
"MIT"
] | 8 | 2021-02-05T11:51:21.000Z | 2022-03-22T08:48:44.000Z | import unittest
from tginviter import generate_invite_link, get_random_token, \
generate_joinchat_link
class TestLinksGeneration(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.bot_name = "test_bot"
cls.token = get_random_token()
def test_keywords_param_only(self):
with self.assertRaises(TypeError):
generate_invite_link(self.bot_name, self.token, 2)
generate_invite_link(self.bot_name, max_uses=2)
def test_proto_exist(self):
with self.assertRaises(ValueError):
generate_invite_link(self.bot_name, proto="qwe")
generate_invite_link(self.bot_name, token=self.token, proto="tg")
generate_invite_link(self.bot_name, token=self.token, proto="http")
generate_invite_link(self.bot_name, token=self.token, proto="https")
def test_return_token(self):
link, token = generate_invite_link(self.bot_name)
self.assertTrue(link.endswith(token))
def test_generate_full_deeplink(self):
http = f"http://telegram.me/{self.bot_name}?start={self.token}"
https = f"https://telegram.me/{self.bot_name}?start={self.token}"
link, _ = generate_invite_link(self.bot_name, token=self.token, short=False)
self.assertEqual(link, https)
link, _ = generate_invite_link(
self.bot_name, token=self.token, short=False, proto="https"
)
self.assertEqual(link, https)
link, _ = generate_invite_link(
self.bot_name, token=self.token, short=False, proto="http"
)
self.assertEqual(link, http)
def test_generate_short_deeplink(self):
http = f"http://t.me/{self.bot_name}?start={self.token}"
https = f"https://t.me/{self.bot_name}?start={self.token}"
link, _ = generate_invite_link(self.bot_name, token=self.token)
self.assertEqual(link, https)
link, _ = generate_invite_link(self.bot_name, token=self.token, short=True)
self.assertEqual(link, https)
link, _ = generate_invite_link(self.bot_name, token=self.token, proto="http")
self.assertEqual(link, http)
link, _ = generate_invite_link(
self.bot_name, token=self.token, proto="https"
)
self.assertEqual(link, https)
def test_random_tokens(self):
token1 = get_random_token()
token2 = get_random_token()
self.assertNotEqual(token1, token2)
def test_random_deeplinks(self):
https = f"https://t.me/{self.bot_name}?start="
link1, token1 = generate_invite_link(self.bot_name)
self.assertTrue(link1.startswith(https))
link2, token2 = generate_invite_link(self.bot_name)
self.assertTrue(link1.startswith(https))
self.assertNotEqual(token1, token2)
self.assertNotEqual(link1, link2)
def test_generate_tg_proto_deeplink(self):
tg = f"tg://resolve?domain={self.bot_name}&start={self.token}"
link, _ = generate_invite_link(self.bot_name, token=self.token, proto="tg")
self.assertEqual(link, tg)
link, _ = generate_invite_link(
self.bot_name, token=self.token, proto="tg", short=True
)
self.assertEqual(link, tg)
link, _ = generate_invite_link(
self.bot_name, token=self.token, proto="tg", short=False
)
self.assertEqual(link, tg)
def test_joinchat_short_link(self):
https = f"https://t.me/joinchat/{self.token}"
http = f"http://t.me/joinchat/{self.token}"
link = generate_joinchat_link(self.token)
self.assertEqual(link, https)
link = generate_joinchat_link(self.token, short=True)
self.assertEqual(link, https)
def test_joinchat_full_link(self):
https = f"https://telegram.me/joinchat/{self.token}"
http = f"http://telegram.me/joinchat/{self.token}"
link = generate_joinchat_link(self.token, short=False)
self.assertEqual(link, https)
| 33.90678 | 85 | 0.658585 | 511 | 4,001 | 4.919765 | 0.121331 | 0.072395 | 0.109387 | 0.166269 | 0.728719 | 0.684964 | 0.616945 | 0.57677 | 0.506762 | 0.494431 | 0 | 0.005128 | 0.220195 | 4,001 | 117 | 86 | 34.196581 | 0.800641 | 0 | 0 | 0.26506 | 1 | 0 | 0.12072 | 0.013497 | 0 | 0 | 0 | 0 | 0.253012 | 1 | 0.13253 | false | 0 | 0.024096 | 0 | 0.168675 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
7e677acbbb11f5ed4eec843f7cf6ab3defcf50c6 | 1,583 | py | Python | VGOS/make_ready_message.py | varenius/oso | eda6247b55796b3e82be6214acd55daf81676836 | [
"MIT"
] | null | null | null | VGOS/make_ready_message.py | varenius/oso | eda6247b55796b3e82be6214acd55daf81676836 | [
"MIT"
] | null | null | null | VGOS/make_ready_message.py | varenius/oso | eda6247b55796b3e82be6214acd55daf81676836 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import sys
logfile = "/usr2/log/"+sys.argv[1]+".log"
lines = []
for line in open(logfile):
lines.append(line)
def get_lines(log,pattern,nlines):
revlog = list(reversed(log))
ans = []
# Loop through logfile backwards to find the latest entry
for i,d in enumerate(revlog):
if pattern in d:
for n in range(0,nlines):
ans.append(revlog[i-n])
break
return ans
def print_lines(ls):
for l in ls:
print str(l),
print
print "READY MESSAGE DATA FROM LOGFILE ", logfile
print
print "DBBC3 timing:"
time = get_lines(lines, "#dbbcn#dbbc3/time/",26)
print_lines(time)
print
print "Pointing:"
point = get_lines(lines, "#fivpt#xoffset",1)
print_lines(point)
print
print "CDMS:"
cdms = get_lines(lines, "/CDMS/",1)
print_lines(cdms)
print
print "Weather:"
wx = get_lines(lines, "/wx/",1)
print_lines(wx)
print
print "SEFD:"
header = get_lines(lines, "Center Comp Tsys SEFD ",1)
print_lines(header)
sefda = get_lines(lines, "l 3432.40",1)
print_lines(sefda)
sefdb = get_lines(lines, "r 3432.40",1)
print_lines(sefdb)
sefdc = get_lines(lines, "l 5672.40",1)
print_lines(sefdc)
sefdd = get_lines(lines, "r 5672.40",1)
print_lines(sefdd)
sefde = get_lines(lines, "l 6824.40",1)
print_lines(sefde)
sefdf = get_lines(lines, "r 6824.40",1)
print_lines(sefdf)
sefdg = get_lines(lines, "l 10664.40",1)
print_lines(sefdg)
sefdh = get_lines(lines, "r 10664.40",1)
print_lines(sefdh)
print
print "First source:"
wx = get_lines(lines, "/source/",1)
print_lines(wx)
print
| 21.391892 | 61 | 0.67151 | 254 | 1,583 | 4.066929 | 0.326772 | 0.116167 | 0.176186 | 0.100678 | 0.168441 | 0 | 0 | 0 | 0 | 0 | 0 | 0.054096 | 0.182565 | 1,583 | 73 | 62 | 21.684932 | 0.744204 | 0.048642 | 0 | 0.166667 | 0 | 0 | 0.175532 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.016667 | null | null | 0.516667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 |
7e7e4fdebc925dc06d87c1a0fb80f0ae90da5a87 | 15,495 | py | Python | nibbler/tests/test_nibbler.py | rrodakowski/nibbler | 833b82b6eee3a118808886a8165def519dbab04f | [
"MIT"
] | null | null | null | nibbler/tests/test_nibbler.py | rrodakowski/nibbler | 833b82b6eee3a118808886a8165def519dbab04f | [
"MIT"
] | null | null | null | nibbler/tests/test_nibbler.py | rrodakowski/nibbler | 833b82b6eee3a118808886a8165def519dbab04f | [
"MIT"
] | null | null | null | # python3 library
import unittest
from unittest.mock import Mock, patch
import logging
# dependency imports
import feedparser
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
# nibbler imports
from nibbler.nibbler import NibblerConfig
from nibbler.nibbler import HTMLNormalizer
#from nibbler.nibbler import FeedAcquirer
#from nibbler.nibbler import DatabaseAccess
import nibbler.nibbler
class NibblerTestCase(unittest.TestCase):
"""Base class for all Nibbler tests."""
arguments = {'from_email': 'randall.rodakowski@gmail.com', 'to_email': 'randall.rodakowski@gmail.com', 'log_dir': '/app-data/logs/nibbler-logs', 'sub_dir': '/app-bin', 'smtp_ini': './nibbler/tests/smtp_testdata.ini'}
def assertCostEqual(self, p, cost):
"""Custom assert here: `p`'s cost is equal to `cost`."""
self.assertEqual(p.cost(), cost)
class TestNibblerConfig(NibblerTestCase):
def setUp(self):
self.config = NibblerConfig(**self.arguments)
def test_smtp_ini_with_values(self):
smtp_config = self.config.get_smtp_config()
self.assertEqual(smtp_config['username'], "sample_username")
self.assertEqual(smtp_config['password'], "Sample_Password/")
self.assertEqual(smtp_config['host'], "hostname.test.com")
self.assertEqual(smtp_config['port'], '587')
def test_smtp_ini_without_values(self):
arguments = {'from_email': 'randall.rodakowski@gmail.com', 'to_email': 'randall.rodakowski@gmail.com', 'sub_dir': '/app-bin'}
no_smtp_config = NibblerConfig(**arguments)
self.assertEqual(no_smtp_config.get_smtp_config(), None)
def test_log_dir(self):
self.assertEqual(self.config.get_log_dir(), "/app-data/logs/nibbler-logs")
def test_database_connection(self):
self.assertEqual(self.config.get_database_connection(), "sqlite:///nibbler.db")
def test_email_image_styles(self):
values = self.config.get_email_image_styles()
self.assertEqual(values["width"], 480)
self.assertEqual(values["height"], 320)
self.assertEqual(values["border"], 0)
def tearDown(self):
pass
class TestHTMLNormalizer(NibblerTestCase):
def setUp(self):
self.normalizer = HTMLNormalizer(NibblerConfig(**self.arguments))
def test_clean_html(self):
input_html = '<p>I <br/><span id="id-styles-text-to-remove">added some text </span><a class="my-class-to-remove" href="http://www.jamesaltucher.com/2017/03/matt-mullenweg/">joined in for the James Altucher<img width="480" id="id-to-remove" class=" size-full wp-image-47258 aligncenter" src="https://i1.wp.com/ma.tt/files/2017/04/ultralight.gif?resize=500%2C288&ssl=1" alt="ultralight.gif"> podcast in an episode that covered a lot of ground</a>. It just needs to be two-way.</p>'
clean_html = '<p>I added some text <a href="http://www.jamesaltucher.com/2017/03/matt-mullenweg/">joined in for the James Altucher<img src="https://i1.wp.com/ma.tt/files/2017/04/ultralight.gif?resize=500%2C288&ssl=1" alt="ultralight.gif"> podcast in an episode that covered a lot of ground</a>. It just needs to be two-way.</p>'
self.assertEqual(clean_html, self.normalizer.clean_html(input_html))
def test_add_email_markup(self):
clean_html = '<p>I added some text <a href="http://www.jamesaltucher.com/2017/03/matt-mullenweg/">joined in for the James Altucher<img src="https://i1.wp.com/ma.tt/files/2017/04/ultralight.gif?resize=500%2C288&ssl=1" alt="ultralight.gif"> podcast in an episode that covered a lot of ground</a>. It just needs to be two-way.</p>'
email_html = '<p>I added some text <a href="http://www.jamesaltucher.com/2017/03/matt-mullenweg/">joined in for the James Altucher<img src="https://i1.wp.com/ma.tt/files/2017/04/ultralight.gif?resize=500%2C288&ssl=1" alt="ultralight.gif" width="480" height="320" border="0"> podcast in an episode that covered a lot of ground</a>. It just needs to be two-way.</p>'
self.assertEqual(email_html, self.normalizer.add_email_markup(clean_html))
def test_add_full_image_path(self):
link = 'https://kottke.org/18/06/the-problem-with-action-scenes-in-dc-movies'
input_html= '<p><img src="/plus/misc/images/ai-image-iso-02.jpg" alt="AI image in the dark"></p>'
email_html = '<p><img src="https://kottke.org/plus/misc/images/ai-image-iso-02.jpg" alt="AI image in the dark"></p>'
self.assertEqual(email_html, self.normalizer.add_full_image_path(input_html, link))
def tearDown(self):
pass
class TestFeedAcquirer(NibblerTestCase):
def setUp(self):
self.dal = Mock()
self.feedacquirer = nibbler.nibbler.FeedAcquirer(self.dal, NibblerConfig(**self.arguments))
def test_parse_rss_post_no_title(self):
test_feed = """
<feed xmlns="http://www.w3.org/2005/Atom">
<title>Daring Fireball</title>
<entry>
<link rel="alternate" type="text/html" href="https://secure.actblue.com/donate/great_slate"/>
<link rel="shorturl" type="text/html" href="http://df4.us/r7j"/>
<link rel="related" type="text/html" href="https://daringfireball.net/linked/2018/10/25/donate-to-the-great-slate"/>
<id>tag:daringfireball.net,2018:/linked//6.35263</id>
<published>2018-10-26T03:59:00Z</published>
<updated>2018-10-26T04:30:33Z</updated>
<content type="html" xml:base="https://daringfireball.net/linked/" xml:lang="en">
<![CDATA[
<p>The Great Slate:</p> <blockquote> <p>Tech Solidarity is endorsing thirteen candidates for Congress. Each of them is a first-time progressive candidate with no ties to the political establishment, an excellent campaign team, and a clear path to victory in a poor, rural district that is being i
]]>
</content>
</entry>"""
rss_feed = feedparser.parse(test_feed)
title = 'https://secure.actblue.com/donate/great_slate'
for entry in rss_feed.entries:
article = self.feedacquirer.parse_rss_post(entry)
self.assertEqual(title, article.title, msg='{}, {}'.format(title, article.title))
def test_parse_rss_post_with_title(self):
test_feed = """
<feed xmlns="http://www.w3.org/2005/Atom">
<title>Daring Fireball</title>
<entry>
<title>Daring Fireball post</title>
<link rel="alternate" type="text/html" href="https://secure.actblue.com/donate/great_slate"/>
<link rel="shorturl" type="text/html" href="http://df4.us/r7j"/>
<link rel="related" type="text/html" href="https://daringfireball.net/linked/2018/10/25/donate-to-the-great-slate"/>
<id>tag:daringfireball.net,2018:/linked//6.35263</id>
<published>2018-10-26T03:59:00Z</published>
<updated>2018-10-26T04:30:33Z</updated>
<content type="html" xml:base="https://daringfireball.net/linked/" xml:lang="en">
<![CDATA[
<p>The Great Slate:</p> <blockquote> <p>Tech Solidarity is endorsing thirteen candidates for Congress. Each of them is a first-time progressive candidate with no ties to the political establishment, an excellent campaign team, and a clear path to victory in a poor, rural district that is being i
]]>
</content>
</entry>"""
rss_feed = feedparser.parse(test_feed)
title = 'Daring Fireball post'
for entry in rss_feed.entries:
article = self.feedacquirer.parse_rss_post(entry)
self.assertEqual(title, article.title, msg='{}, {}'.format(title, article.title))
def test_parse_rss_post_no_guid(self):
test_feed = """
<feed xmlns="http://www.w3.org/2005/Atom">
<title>Daring Fireball</title>
<entry>
<title>Daring Fireball post</title>
<link rel="alternate" type="text/html" href="https://secure.actblue.com/donate/great_slate"/>
<link rel="shorturl" type="text/html" href="http://df4.us/r7j"/>
<link rel="related" type="text/html" href="https://daringfireball.net/linked/2018/10/25/donate-to-the-great-slate"/>
<published>2018-10-26T03:59:00Z</published>
<updated>2018-10-26T04:30:33Z</updated>
<content type="html" xml:base="https://daringfireball.net/linked/" xml:lang="en">
<![CDATA[
<p>The Great Slate:</p> <blockquote> <p>Tech Solidarity is endorsing thirteen candidates for Congress. Each of them is a first-time progressive candidate with no ties to the political establishment, an excellent campaign team, and a clear path to victory in a poor, rural district that is being i
]]>
</content>
</entry>"""
rss_feed = feedparser.parse(test_feed)
guid = 'Daring Fireball post'
for entry in rss_feed.entries:
article = self.feedacquirer.parse_rss_post(entry)
self.assertEqual(guid, article.guid, msg='{}, {}'.format(guid, article.guid))
def test_parse_rss_post_with_guid(self):
test_feed = """
<feed xmlns="http://www.w3.org/2005/Atom">
<title>Daring Fireball</title>
<entry>
<link rel="alternate" type="text/html" href="https://secure.actblue.com/donate/great_slate"/>
<link rel="shorturl" type="text/html" href="http://df4.us/r7j"/>
<link rel="related" type="text/html" href="https://daringfireball.net/linked/2018/10/25/donate-to-the-great-slate"/>
<id>tag:daringfireball.net,2018:/linked//6.35263</id>
<published>2018-10-26T03:59:00Z</published>
<updated>2018-10-26T04:30:33Z</updated>
<content type="html" xml:base="https://daringfireball.net/linked/" xml:lang="en">
<![CDATA[
<p>The Great Slate:</p> <blockquote> <p>Tech Solidarity is endorsing thirteen candidates for Congress. Each of them is a first-time progressive candidate with no ties to the political establishment, an excellent campaign team, and a clear path to victory in a poor, rural district that is being i
]]>
</content>
</entry>"""
rss_feed = feedparser.parse(test_feed)
guid = 'tag:daringfireball.net,2018:/linked//6.35263'
for entry in rss_feed.entries:
article = self.feedacquirer.parse_rss_post(entry)
self.assertEqual(guid, article.guid, msg='{}, {}'.format(guid, article.guid))
def test_parse_rss_post_with_pub_date(self):
test_feed = """
<feed xmlns="http://www.w3.org/2005/Atom">
<title>Daring Fireball</title>
<entry>
<link rel="alternate" type="text/html" href="https://secure.actblue.com/donate/great_slate"/>
<link rel="shorturl" type="text/html" href="http://df4.us/r7j"/>
<link rel="related" type="text/html" href="https://daringfireball.net/linked/2018/10/25/donate-to-the-great-slate"/>
<id>tag:daringfireball.net,2018:/linked//6.35263</id>
<published>2018-10-26T03:59:00Z</published>
<updated>2018-10-26T04:30:33Z</updated>
<content type="html" xml:base="https://daringfireball.net/linked/" xml:lang="en">
<![CDATA[
<p>The Great Slate:</p> <blockquote> <p>Tech Solidarity is endorsing thirteen candidates for Congress. Each of them is a first-time progressive candidate with no ties to the political establishment, an excellent campaign team, and a clear path to victory in a poor, rural district that is being i
]]>
</content>
</entry>"""
rss_feed = feedparser.parse(test_feed)
pub_date = '2018-10-26T03:59:00Z'
for entry in rss_feed.entries:
article = self.feedacquirer.parse_rss_post(entry)
self.assertEqual(pub_date, article.pub_date, msg='{}, {}'.format(pub_date, article.pub_date))
def test_parse_rss_post_it_should_return_boilerplate_if_empty_content(self):
test_feed = """
<channel>
<atom:link href="https://unchained.libsyn.com/unchained" rel="self" type="application/rss+xml"/>
<title>Unchained</title>
<item>
<title>This Noble Family's Art Was Taken by Nazis, But Is Being Saved by NFTs - Ep.300</title>
<itunes:title>This Noble Family's Art Was Taken by Nazis, But Is Being Saved by NFTs</itunes:title>
<pubDate>Tue, 21 Dec 2021 08:30:00 +0000</pubDate>
<guid isPermaLink="false"><![CDATA[8d3ec14d-16e6-4f62-8847-917fe13a8b7c]]></guid>
<link><![CDATA[https://unchainedpodcast.com/this-noble-familys-art-was-taken-by-nazis-but-is-being-saved-by-nfts/]]></link>
<itunes:image href="https://ssl-static.libsyn.com/p/assets/5/e/5/0/5e507f50ba05203140be95ea3302a6a1/Unchained-Podcast-Artwork-2000x2000.png" />
<description><![CDATA[]]></description>
<content:encoded><![CDATA[]]></content:encoded>
<enclosure length="33490781" type="audio/mpeg" url="https://traffic.libsyn.com/secure/unchained/Unchained_-_Ep.300_-_This_Noble_Familys_Art_Was_Taken_by_Nazis_But_Is_Being_Saved_by_NFTs.mp3?dest-id=619174" />
<itunes:duration>01:07:16</itunes:duration>
<itunes:explicit>clean</itunes:explicit>
<itunes:keywords />
<itunes:subtitle><![CDATA[]]></itunes:subtitle>
<itunes:episode>300</itunes:episode>
<itunes:episodeType>full</itunes:episodeType>
</item>
"""
rss_feed = feedparser.parse(test_feed)
article_text = '<p>No Content Provided in this article.</p>'
for entry in rss_feed.entries:
article = self.feedacquirer.parse_rss_post(entry)
self.assertEqual(article_text, article.article_text, msg='{}, {}'.format(article_text, article.article_text))
#@patch('nibbler.nibbler.DatabaseAccess.is_post_in_db')
#@patch('nibbler.nibbler.DatabaseAccess.store_post')
@patch('nibbler.nibbler.DatabaseAccess')
def test_store_new_content(self, mock_dal):
feed = Mock()
feed.xmlUrl = """
<feed xmlns="http://www.w3.org/2005/Atom">
<title>Daring Fireball</title>
<entry>
<title>Daring post</title>
<link rel="alternate" type="text/html" href="https://secure.actblue.com/donate/great_slate"/>
<link rel="shorturl" type="text/html" href="http://df4.us/r7j"/>
<link rel="related" type="text/html" href="https://daringfireball.net/linked/2018/10/25/donate-to-the-great-slate"/>
<id>tag:daringfireball.net,2018:/linked//6.35263</id>
<published>2018-10-26T03:59:00Z</published>
<updated>2018-10-26T04:30:33Z</updated>
<content type="html" xml:base="https://daringfireball.net/linked/" xml:lang="en">
<![CDATA[
<p>The Great Slate:</p> <blockquote> <p>Tech Solidarity is endorsing thirteen candidates for Congress. Each of them is a first-time progressive candidate with no ties to the political establishment, an excellent campaign team, and a clear path to victory in a poor, rural district that is being i
]]>
</content>
</entry>"""
feed.feed_id = 1
mock_dal.is_post_in_db.return_value = False
mock_dal.store_post.return_value = True
#mock_is_post_in_db.return_value.is_post_in_db.return_value = False # means we will add it
#mock_store_post.return_value = True
feedacquirer = nibbler.nibbler.FeedAcquirer(mock_dal, NibblerConfig(**self.arguments))
articles_stored = feedacquirer.store_new_content(feed)
self.assertEqual("tag:daringfireball.net,2018:/linked//6.35263", articles_stored[0])
def tearDown(self):
pass
if __name__ == '__main__':
unittest.main()
| 56.345455 | 491 | 0.68009 | 2,167 | 15,495 | 4.76096 | 0.155053 | 0.030532 | 0.020936 | 0.027915 | 0.717166 | 0.674809 | 0.661045 | 0.640012 | 0.633518 | 0.633518 | 0 | 0.043848 | 0.17283 | 15,495 | 274 | 492 | 56.551095 | 0.761099 | 0.028783 | 0 | 0.570175 | 0 | 0.188596 | 0.665181 | 0.110786 | 0 | 0 | 0 | 0 | 0.096491 | 1 | 0.096491 | false | 0.017544 | 0.039474 | 0 | 0.157895 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
7e7f51520c0ad9de41b4c59131f95b28303ac34a | 1,542 | py | Python | Sketches/MPS/BugReports/FixTests/Kamaelia/Examples/TCP_Systems/FortuneCookie_ServerClient.py | sparkslabs/kamaelia_orig | 24b5f855a63421a1f7c6c7a35a7f4629ed955316 | [
"Apache-2.0"
] | 12 | 2015-10-20T10:22:01.000Z | 2021-07-19T10:09:44.000Z | Sketches/MPS/BugReports/FixTests/Kamaelia/Examples/TCP_Systems/FortuneCookie_ServerClient.py | sparkslabs/kamaelia_orig | 24b5f855a63421a1f7c6c7a35a7f4629ed955316 | [
"Apache-2.0"
] | 2 | 2015-10-20T10:22:55.000Z | 2017-02-13T11:05:25.000Z | Sketches/MPS/BugReports/FixTests/Kamaelia/Examples/TCP_Systems/FortuneCookie_ServerClient.py | sparkslabs/kamaelia_orig | 24b5f855a63421a1f7c6c7a35a7f4629ed955316 | [
"Apache-2.0"
] | 6 | 2015-03-09T12:51:59.000Z | 2020-03-01T13:06:21.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright 2010 British Broadcasting Corporation and Kamaelia Contributors(1)
#
# (1) Kamaelia Contributors are listed in the AUTHORS file and at
# http://www.kamaelia.org/AUTHORS - please extend this file,
# not this notice.
#
# 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.
# -------------------------------------------------------------------------
#
# Simple test harness for integrating TCP clients and servers in one system, sharing selector components etc.
#
#
from Kamaelia.Protocol.FortuneCookieProtocol import FortuneCookieProtocol
from Kamaelia.Chassis.ConnectedServer import SimpleServer
from Kamaelia.Internet.TCPClient import TCPClient
from Kamaelia.Util.Console import ConsoleEchoer
from Kamaelia.Chassis.Pipeline import Pipeline
import random
clientServerTestPort=random.randint(1500,1599)
SimpleServer(protocol=FortuneCookieProtocol, port=clientServerTestPort).activate()
Pipeline(TCPClient("127.0.0.1",clientServerTestPort),
ConsoleEchoer()
).run()
| 36.714286 | 109 | 0.738651 | 193 | 1,542 | 5.901554 | 0.595855 | 0.052678 | 0.015803 | 0.028095 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.018839 | 0.139429 | 1,542 | 41 | 110 | 37.609756 | 0.839488 | 0.629702 | 0 | 0 | 0 | 0 | 0.016514 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.545455 | 0 | 0.545455 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
7eac2cdbbfc7e81bb6e3f6db4a35a537f92f27b4 | 28,193 | py | Python | python/sandbox/property.py | geometer/sandbox | 373ec96e69df76744a19b51f7caa865cbc6b58cd | [
"Apache-2.0"
] | 6 | 2020-04-19T11:26:18.000Z | 2021-06-21T18:42:51.000Z | python/sandbox/property.py | geometer/sandbox | 373ec96e69df76744a19b51f7caa865cbc6b58cd | [
"Apache-2.0"
] | 31 | 2020-04-21T17:24:39.000Z | 2020-08-27T15:59:12.000Z | python/sandbox/property.py | geometer/sandbox | 373ec96e69df76744a19b51f7caa865cbc6b58cd | [
"Apache-2.0"
] | null | null | null | from enum import Enum, auto
import itertools
from .figure import Figure, Circle
from .scene import Scene
from .util import Comment, divide, normalize_number, keys_for_triangle
class Property:
def __init__(self, property_key, point_set):
self.implications = []
self.property_key = property_key
self.point_set = point_set
self.__hash = None
self.__reason = None
@property
def reason(self):
return self.__reason
@reason.setter
def reason(self, value):
if self.__reason:
for pre in self.__reason.premises:
pre.implications = [p for p in pre.implications if p is not self]
while self in value.all_premises:
# TODO: select the best variant
for prop in value.all_premises:
if prop == self:
value = prop.reason
self.__reason = value
for pre in self.__reason.premises:
pre.implications.append(self)
self.fire_premises_change()
@property
def priority(self):
if not hasattr(self, 'rule'):
return self.__priority__ * 2
else:
return self.__priority__ * self.rule.priority()
@property
def __priority__(self):
return 3
def fire_premises_change(self):
self.reason.reset_premises()
for impl in self.implications:
impl.fire_premises_change()
def keys(self):
return []
def stringify(self, printer):
return self.description.stringify(printer)
def compare_values(self, other):
return True
def __str__(self):
return str(self.description)
def __eq__(self, other):
return type(self) == type(other) and self.property_key == other.property_key
def __hash__(self):
if self.__hash is None:
self.__hash = hash(type(self)) + hash(self.property_key)
return self.__hash
class PointAndCircleProperty(Property):
"""
Point location relative to circle
"""
class Kind(Enum):
inside = auto()
on = auto()
outside = auto()
def __str__(self):
return self.name
@staticmethod
def unique_key(point, cpoints_set):
return (point, cpoints_set)
def __init__(self, point, cpoint0, cpoint1, cpoint2, location):
self.point = point
self.circle_key = frozenset((cpoint0, cpoint1, cpoint2))
self.location = location
super().__init__(PointAndCircleProperty.unique_key(self.point, self.circle_key), {point, cpoint0, cpoint1, cpoint2})
def keys(self):
return self.property_key
@property
def description(self):
if self.location == PointAndCircleProperty.Kind.inside:
pattern ='$%{point:pt}$ lies inside $%{circle:circ}$'
elif self.location == PointAndCircleProperty.Kind.outside:
pattern ='$%{point:pt}$ lies outside of $%{circle:circ}$'
elif self.location == PointAndCircleProperty.Kind.on:
pattern ='$%{point:pt}$ lies on $%{circle:circ}$'
return Comment(pattern, {'pt': self.point, 'circ': Circle(*self.circle_key)})
def compare_values(self, other):
return self.location == other.location
class CircleCoincidenceProperty(Property):
"""
Two circles (defined by triples of points) are [not] coincident
"""
def __init__(self, triple0, triple1, coincident):
self.circle_keys = (frozenset(triple0), frozenset(triple1))
super().__init__(frozenset(self.circle_keys), {*triple0, *triple1})
self.coincident = coincident
@property
def __priority__(self):
return 1
@property
def description(self):
if self.coincident:
pattern = '$%{circle:c0}$ coincides with $%{circle:c1}$'
else:
pattern = '$%{circle:c0}$ and $%{circle:c1}$ differ'
return Comment(
pattern, {'c0': Circle(*self.circle_keys[0]), 'c1': Circle(*self.circle_keys[1])}
)
def compare_values(self, other):
return self.coincident == other.coincident
class ConcyclicPointsProperty(Property):
"""
Concyclic points
"""
def __init__(self, *points):
assert len(points) == 4
self.points = points
super().__init__(frozenset(self.points), set(points))
@property
def __priority__(self):
return 1
@property
def description(self):
return Comment(
'Points $%{point:pt0}$, $%{point:pt1}$, $%{point:pt2}$, and $%{point:pt3}$ are concyclic',
dict(('pt%d' % index, pt) for index, pt in enumerate(self.points))
)
class PointOnLineProperty(Property):
"""
A point lies [not] on a line
"""
def __init__(self, point, segment, on_line):
super().__init__((point, segment), {point, *segment.points})
self.point = point
self.segment = segment
self.on_line = on_line
@property
def __priority__(self):
return 1
@property
def description(self):
if self.on_line:
pattern = '$%{point:point}$ lies on line $%{line:line}$'
else:
pattern = '$%{point:point}$ does not lie on line $%{line:line}$'
return Comment(pattern, {'point': self.point, 'line': self.segment})
def compare_values(self, other):
return self.on_line == other.on_line
class LinesCoincidenceProperty(Property):
"""
Two lines (defined by segments) are [not] coincident
"""
def __init__(self, segment0, segment1, coincident):
self.segments = (segment0, segment1)
super().__init__(frozenset(self.segments), {*segment0.points, *segment1.points})
self.coincident = coincident
@property
def __priority__(self):
return 1
@property
def description(self):
if self.coincident:
pattern = '$%{line:line0}$ is the same line as $%{line:line1}$'
else:
pattern = '$%{line:line0}$ and $%{line:line1}$ are different lines'
return Comment(pattern, {'line0': self.segments[0], 'line1': self.segments[1]})
def compare_values(self, other):
return self.coincident == other.coincident
class PointsCollinearityProperty(Property):
"""
[Not] collinear points
"""
def __init__(self, point0, point1, point2, collinear):
self.points = (point0, point1, point2)
super().__init__(frozenset(self.points), {point0, point1, point2})
self.collinear = collinear
@property
def __priority__(self):
return 1
def keys(self, lengths=None):
return keys_for_triangle(Scene.Triangle(*self.points), lengths)
@property
def description(self):
if self.collinear:
pattern = 'Points $%{point:pt0}$, $%{point:pt1}$, and $%{point:pt2}$ are collinear'
else:
pattern = 'Points $%{point:pt0}$, $%{point:pt1}$, and $%{point:pt2}$ are not collinear'
return Comment(pattern, {'pt0': self.points[0], 'pt1': self.points[1], 'pt2': self.points[2]})
def compare_values(self, other):
return self.collinear == other.collinear
class ParallelVectorsProperty(Property):
"""
Two vectors are parallel (or at least one of them has zero length)
"""
def __init__(self, vector0, vector1):
self.vectors = (vector0, vector1)
super().__init__(frozenset(self.vectors), {*vector0.points, *vector1.points})
def keys(self):
return [self.vectors[0].as_segment, self.vectors[1].as_segment]
@property
def __priority__(self):
return 1
@property
def description(self):
return Comment(
'$%{vector:vec0} \\uparrow\\!\\!\\!\\uparrow %{vector:vec1}$',
{'vec0': self.vectors[0], 'vec1': self.vectors[1]}
)
class ParallelSegmentsProperty(Property):
"""
Two segments are parallel (or at least one of them has zero length)
"""
def __init__(self, segment0, segment1):
self.segments = (segment0, segment1)
super().__init__(frozenset(self.segments), {*segment0.points, *segment1.points})
def keys(self):
return self.segments
@property
def __priority__(self):
return 1
@property
def description(self):
return Comment(
'$%{segment:seg0} \\,\\|\\, %{segment:seg1}$',
{'seg0': self.segments[0], 'seg1': self.segments[1]}
)
class PerpendicularSegmentsProperty(Property):
"""
Two segments are perpendicular (or at least one of them has zero length)
"""
def __init__(self, segment0, segment1):
self.segments = (segment0, segment1)
super().__init__(frozenset(self.segments), {*segment0.points, *segment1.points})
def keys(self):
return self.segments
@property
def __priority__(self):
return 1
@property
def description(self):
return Comment(
'$%{segment:seg0} \\perp %{segment:seg1}$',
{'seg0': self.segments[0], 'seg1': self.segments[1]}
)
class PointsCoincidenceProperty(Property):
"""
[Not] coincident points
"""
def __init__(self, point0, point1, coincident):
assert isinstance(point0, Scene.Point)
assert isinstance(point1, Scene.Point)
assert point0 != point1
self.points = [point0, point1]
super().__init__(frozenset(self.points), {point0, point1})
self.coincident = coincident
@property
def __priority__(self):
return 3 if self.coincident else 1
def keys(self):
return [self.points[0].segment(self.points[1]), *self.points]
@property
def description(self):
if self.coincident:
pattern = 'Points $%{point:pt0}$ and $%{point:pt1}$ are coincident'
else:
pattern = 'Points $%{point:pt0}$ and $%{point:pt1}$ are not coincident'
return Comment(pattern, {'pt0': self.points[0], 'pt1': self.points[1]})
def compare_values(self, other):
return self.coincident == other.coincident
class SameOrOppositeSideProperty(Property):
"""
Two points on opposite/same sides of a line
"""
@staticmethod
def unique_key(segment, point0, point1):
return frozenset([segment, point0, point1])
def __init__(self, segment, point0, point1, same):
self.segment = segment
self.points = (point0, point1)
self.same = same
super().__init__(SameOrOppositeSideProperty.unique_key(segment, point0, point1), {point0, point1, *segment.points})
@property
def __priority__(self):
return 1
def keys(self):
return [self.segment]
@property
def description(self):
if self.same:
pattern = '$%{point:pt0}$, $%{point:pt1}$ located on the same side of line $%{line:line}$'
else:
pattern = '$%{point:pt0}$, $%{point:pt1}$ located on opposite sides of line $%{line:line}$'
return Comment(pattern, {'pt0': self.points[0], 'pt1': self.points[1], 'line': self.segment})
def compare_values(self, other):
return self.same == other.same
class PointInsideAngleProperty(Property):
"""
A point lies inside an angle
"""
def __init__(self, point, angle):
self.point = point
self.angle = angle
super().__init__((point, angle), {point, *angle.point_set})
@property
def __priority__(self):
return 1
@property
def description(self):
return Comment('$%{point:pt}$ lies inside $%{angle:angle}$', {'pt': self.point, 'angle': self.angle})
def keys(self):
return [self.point, self.angle]
class EquilateralTriangleProperty(Property):
"""
Equilateral triangle
"""
def __init__(self, points):
self.triangle = points if isinstance(points, Scene.Triangle) else Scene.Triangle(*points)
super().__init__(frozenset(self.triangle.points), {*self.triangle.points})
def keys(self, lengths=None):
return keys_for_triangle(self.triangle, lengths)
@property
def __priority__(self):
return 4.5
@property
def description(self):
return Comment('$%{triangle:triangle}$ is equilateral', {'triangle': self.triangle})
class SquareProperty(Property):
"""
Square
"""
@staticmethod
def unique_key(four_points):
def perms(four):
return [four, (*four[1:], four[0]), (*four[2:], *four[:2]), (four[3], *four[:3])]
return frozenset(perms(four_points) + perms(tuple(reversed(four_points))))
def __init__(self, square):
assert len(square.points) == 4
self.square = square
super().__init__(SquareProperty.unique_key(square.points), {*square.points})
@property
def __priority__(self):
return 4
@property
def description(self):
return Comment('$%{polygon:square}$ is a square', {'square': self.square})
class NondegenerateSquareProperty(Property):
"""
Non-degenerate square
"""
def __init__(self, square):
assert len(square.points) == 4
self.square = square
super().__init__(SquareProperty.unique_key(square.points), {*square.points})
@property
def __priority__(self):
return 4.5
@property
def description(self):
return Comment('$%{polygon:square}$ is a non-degenerate square', {'square': self.square})
class CentreOfEquilateralTriangleProperty(Property):
"""
A point is the centre of equilateral triangle
"""
def __init__(self, centre, triangle):
self.centre = centre
self.triangle = triangle
super().__init__((centre, frozenset(triangle.points)), {centre, *self.triangle.points})
@property
def __priority__(self):
return 4.5
@property
def description(self):
return Comment(
'$%{point:centre}$ is the centre of equilateral $%{triangle:triangle}$',
{'centre': self.centre, 'triangle': self.triangle}
)
class AngleKindProperty(Property):
"""
An angle is acute/obtuse/right
"""
class Kind(Enum):
acute = auto()
right = auto()
obtuse = auto()
def __str__(self):
return self.name
def __init__(self, angle, kind):
self.angle = angle
self.kind = kind
super().__init__(angle, self.angle.point_set)
def keys(self):
return [self.angle]
@property
def __priority__(self):
return 1
@property
def description(self):
if self.kind == AngleKindProperty.Kind.acute:
pattern = '$%{angle:angle}$ is acute'
elif self.kind == AngleKindProperty.Kind.obtuse:
pattern = '$%{angle:angle}$ is obtuse'
else:
pattern = '$%{angle:angle}$ is right'
return Comment(pattern, {'angle': self.angle})
def compare_values(self, other):
return self.kind == other.kind
class AngleValueProperty(Property):
"""
Angle value
"""
@staticmethod
def generate(vector0, vector1, value):
def rev(first, second):
vec0 = vector0.reversed if first else vector0
vec1 = vector1.reversed if second else vector1
return vec0.angle(vec1)
if vector0.start == vector1.start:
angles = [(rev(False, False), False)]
elif vector0.start == vector1.end:
angles = [(rev(False, True), True)]
elif vector0.end == vector1.start:
angles = [(rev(True, False), True)]
elif vector0.end == vector1.end:
angles = [(rev(True, True), False)]
else:
angles = [
(rev(False, False), False),
(rev(False, True), True),
(rev(True, False), True),
(rev(True, True), False),
]
for ngl, supplementary in angles:
yield AngleValueProperty(ngl, 180 - value if supplementary else value)
def __init__(self, angle, degree):
assert isinstance(angle, Scene.Angle)
self.angle = angle
self.degree = normalize_number(degree)
super().__init__(angle, self.angle.point_set)
@property
def __priority__(self):
return 1 if self.degree in (0, 90, 180) else 3.5
def keys(self):
return [self.angle]
@property
def description(self):
if self.angle.vertex:
if self.degree == 0:
return Comment(
'$%{point:pt0}$, $%{point:pt1}$ in the same direction from $%{point:vertex}$',
{'pt0': self.angle.vectors[0].end, 'pt1': self.angle.vectors[1].end, 'vertex': self.angle.vertex}
)
if self.degree == 180:
return Comment(
'$%{point:pt}$ lies inside segment $%{segment:seg}$',
{'pt': self.angle.vertex, 'seg': self.angle.vectors[0].end.segment(self.angle.vectors[1].end)}
)
return Comment('$%{anglemeasure:ang} = %{degree:deg}$', {'ang': self.angle, 'deg': self.degree})
def compare_values(self, other):
return self.degree == other.degree
class MiddleOfSegmentProperty(Property):
"""
A point is the middle of segment
"""
def __init__(self, point, segment):
self.point = point
self.segment = segment
super().__init__((point, segment), {point, *segment.points})
@property
def __priority__(self):
return 2
@property
def description(self):
return Comment(
'$%{point:point}$ is the middle of $%{segment:segment}$',
{'point': self.point, 'segment': self.segment}
)
class AngleRatioProperty(Property):
"""
Two angle values ratio
"""
def __init__(self, angle0, angle1, ratio, same=False):
assert isinstance(angle0, Scene.Angle)
assert isinstance(angle1, Scene.Angle)
# angle0 / angle1 = ratio
if ratio >= 1:
self.angle0 = angle0
self.angle1 = angle1
self.value = normalize_number(ratio)
else:
self.angle0 = angle1
self.angle1 = angle0
self.value = divide(1, ratio)
self.same = same
super().__init__(frozenset([angle0, angle1]), {*self.angle0.point_set, *self.angle1.point_set})
def keys(self):
return [self.angle0, self.angle1]
@property
def __priority__(self):
return 1 if self.same else 3
@property
def description(self):
params = {
'angle0': self.angle0,
'angle1': self.angle1,
'ratio': self.value
}
if self.same:
pattern = '$%{anglemeasure:angle0} \\equiv %{anglemeasure:angle1}$'
elif self.value == 1:
pattern = '$%{anglemeasure:angle0} = %{anglemeasure:angle1}$'
else:
pattern = '$%{anglemeasure:angle0} = %{multiplier:ratio}\\,%{anglemeasure:angle1}$'
return Comment(pattern, params)
def compare_values(self, other):
return self.value == other.value
class SumOfThreeAnglesProperty(Property):
"""
Sum of three angles is equal to degree
"""
def __init__(self, angle0, angle1, angle2, degree):
self.angles = (angle0, angle1, angle2)
self.degree = degree
super().__init__(frozenset(self.angles), {*angle0.point_set, *angle1.point_set, *angle2.point_set})
def keys(self):
return self.angles
@property
def description(self):
return Comment(
'$%{anglemeasure:a0} + %{anglemeasure:a1} + %{anglemeasure:a2} = %{degree:value}$',
{'a0': self.angles[0], 'a1': self.angles[1], 'a2': self.angles[2], 'value': self.degree}
)
def compare_values(self, other):
return self.degree == other.degree
class SumOfTwoAnglesProperty(Property):
"""
Sum of two angles is equal to degree
"""
def __init__(self, angle0, angle1, degree):
self.angles = (angle0, angle1)
self.degree = degree
super().__init__(frozenset([angle0, angle1]), {*angle0.point_set, *angle1.point_set})
def keys(self):
return self.angles
@property
def __priority__(self):
return 1 if self.degree == 180 else 3
@property
def description(self):
return Comment(
'$%{anglemeasure:a0} + %{anglemeasure:a1} = %{degree:value}$',
{'a0': self.angles[0], 'a1': self.angles[1], 'value': self.degree}
)
def compare_values(self, other):
return self.degree == other.degree
class LengthRatioProperty(Property):
"""
Two non-zero segment lengths ratio
"""
def __init__(self, segment0, segment1, ratio):
if ratio >= 1:
self.segment0 = segment0
self.segment1 = segment1
self.value = normalize_number(ratio)
else:
self.segment0 = segment1
self.segment1 = segment0
self.value = divide(1, ratio)
super().__init__(frozenset([segment0, segment1]), {*self.segment0.points, *self.segment1.points})
def keys(self):
return [self.segment0, self.segment1]
@property
def description(self):
return Comment(
'$|%{segment:seg0}| / |%{segment:seg1}| = %{number:value}$',
{'seg0': self.segment0, 'seg1': self.segment1, 'value': self.value}
)
def compare_values(self, other):
return self.value == other.value
class ProportionalLengthsProperty(Property):
"""
Two segment lengths ratio
"""
def __init__(self, segment0, segment1, ratio):
if ratio >= 1:
self.segment0 = segment0
self.segment1 = segment1
self.value = normalize_number(ratio)
else:
self.segment0 = segment1
self.segment1 = segment0
self.value = divide(1, ratio)
super().__init__(frozenset([segment0, segment1]), {*self.segment0.points, *self.segment1.points})
def keys(self):
return [self.segment0, self.segment1]
@property
def description(self):
if self.value == 1:
return Comment('$|%{segment:seg0}| = |%{segment:seg1}|$', {
'seg0': self.segment0,
'seg1': self.segment1
})
return Comment('$|%{segment:seg0}| = %{multiplier:value}|%{segment:seg1}|$', {
'seg0': self.segment0,
'seg1': self.segment1,
'value': self.value
})
def compare_values(self, other):
return self.value == other.value
class EqualLengthProductsProperty(Property):
"""
Two segment lengths products are equal
"""
@staticmethod
def unique_key(segment0, segment1, segment2, segment3):
return frozenset([
frozenset([segment0, segment3]),
frozenset([segment1, segment2])
])
def __init__(self, segment0, segment1, segment2, segment3):
"""
|segment0| * |segment3| == |segment1| * |segment2|
"""
self.segments = (segment0, segment1, segment2, segment3)
super().__init__(EqualLengthProductsProperty.unique_key(segment0, segment1, segment2, segment3), {*segment0.points, *segment1.points, *segment2.points, *segment3.points})
@property
def description(self):
return Comment(
'$|%{segment:seg0}| * |%{segment:seg3}| = |%{segment:seg1}| * |%{segment:seg2}|$',
dict(('seg%d' % index, segment) for index, segment in enumerate(self.segments))
)
class EqualLengthRatiosProperty(Property):
"""
Two segment lengths ratios are equal
"""
@staticmethod
def unique_key(segment0, segment1, segment2, segment3):
return frozenset([
(segment0, segment1),
(segment2, segment3)
])
def __init__(self, segment0, segment1, segment2, segment3):
"""
|segment0| / |segment1| == |segment2| / |segment3|
"""
self.segments = (segment0, segment1, segment2, segment3)
super().__init__(EqualLengthRatiosProperty.unique_key(segment0, segment1, segment2, segment3), {*segment0.points, *segment1.points, *segment2.points, *segment3.points})
@property
def description(self):
return Comment(
'$|%{segment:seg0}| / |%{segment:seg1}| = |%{segment:seg2}| / |%{segment:seg3}|$',
dict(('seg%d' % index, segment) for index, segment in enumerate(self.segments))
)
class SimilarTrianglesProperty(Property):
"""
Two triangles are similar
"""
def __init__(self, points0, points1):
self.triangle0 = points0 if isinstance(points0, Scene.Triangle) else Scene.Triangle(*points0)
self.triangle1 = points1 if isinstance(points1, Scene.Triangle) else Scene.Triangle(*points1)
pairs = [frozenset(perms) for perms in zip(self.triangle0.permutations, self.triangle1.permutations)]
super().__init__(frozenset(pairs), {*self.triangle0.points, *self.triangle1.points})
def keys(self, lengths=None):
return keys_for_triangle(self.triangle0, lengths) + keys_for_triangle(self.triangle1, lengths)
@property
def __priority__(self):
return 5
@property
def description(self):
return Comment('$%{triangle:t0} \\sim %{triangle:t1}$', {'t0': self.triangle0, 't1': self.triangle1})
class CongruentTrianglesProperty(Property):
"""
Two triangles are congruent
"""
def __init__(self, points0, points1):
self.triangle0 = points0 if isinstance(points0, Scene.Triangle) else Scene.Triangle(*points0)
self.triangle1 = points1 if isinstance(points1, Scene.Triangle) else Scene.Triangle(*points1)
pairs = [frozenset(perms) for perms in zip(self.triangle0.permutations, self.triangle1.permutations)]
super().__init__(frozenset(pairs), {*self.triangle0.points, *self.triangle1.points})
def keys(self, lengths=None):
return keys_for_triangle(self.triangle0, lengths) + keys_for_triangle(self.triangle1, lengths)
@property
def __priority__(self):
return 5
@property
def description(self):
return Comment('$%{triangle:t0} \\cong %{triangle:t1}$', {'t0': self.triangle0, 't1': self.triangle1})
class IsoscelesTriangleProperty(Property):
"""
Isosceles triangle
"""
def __init__(self, apex, base):
self.apex = apex
self.base = base
self.triangle = Scene.Triangle(apex, *base.points)
super().__init__((apex, base), {apex, *base.points})
def keys(self, lengths=None):
return keys_for_triangle(self.triangle, lengths)
@property
def __priority__(self):
return 4
@property
def description(self):
return Comment(
'$%{triangle:isosceles}$ is isosceles with apex $%{point:apex}$',
{'isosceles': self.triangle, 'apex': self.apex}
)
class Cycle(Figure):
def __init__(self, pt0, pt1, pt2):
self.points = (pt0, pt1, pt2)
self.__key = frozenset([(pt0, pt1, pt2), (pt1, pt2, pt0), (pt2, pt0, pt1)])
self.__reversed = None
@property
def reversed(self):
if self.__reversed is None:
self.__reversed = Cycle(*reversed(self.points))
self.__reversed.__reversed = self
return self.__reversed
def __str__(self):
return '\\circlearrowleft %s %s %s' % self.points
def __eq__(self, other):
return self.__key == other.__key
def __hash__(self):
return hash(self.__key)
class SameCyclicOrderProperty(Property):
"""
Two triples of points have the same cyclic order
"""
def __init__(self, cycle0, cycle1):
self.cycle0 = cycle0
self.cycle1 = cycle1
super().__init__(frozenset([cycle0, cycle1]), {*cycle0.points, *cycle1.points})
@property
def __priority__(self):
return 1
@property
def description(self):
return Comment(
'$%{cycle:cycle0}$ and $%{cycle:cycle1}$ have the same order',
{'cycle0': self.cycle0, 'cycle1': self.cycle1}
)
| 31.713161 | 178 | 0.604654 | 3,036 | 28,193 | 5.442358 | 0.09025 | 0.039944 | 0.021304 | 0.047207 | 0.557768 | 0.502088 | 0.450039 | 0.409066 | 0.367851 | 0.349513 | 0 | 0.023331 | 0.264179 | 28,193 | 888 | 179 | 31.748874 | 0.77315 | 0.042954 | 0 | 0.5117 | 0 | 0.00936 | 0.102099 | 0.010988 | 0 | 0 | 0 | 0.001126 | 0.014041 | 1 | 0.224649 | false | 0 | 0.0078 | 0.145086 | 0.461778 | 0.00312 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
7eb2db3dec520e7305b4a8da4402eff2e207cc78 | 310 | py | Python | hpc-historias-clinicas/inter_consultas/templatetags/inter_consultas_tags.py | btenaglia/hpc-historias-clinicas | 649d8660381381b1c591667760c122d73071d5ec | [
"BSD-3-Clause"
] | null | null | null | hpc-historias-clinicas/inter_consultas/templatetags/inter_consultas_tags.py | btenaglia/hpc-historias-clinicas | 649d8660381381b1c591667760c122d73071d5ec | [
"BSD-3-Clause"
] | null | null | null | hpc-historias-clinicas/inter_consultas/templatetags/inter_consultas_tags.py | btenaglia/hpc-historias-clinicas | 649d8660381381b1c591667760c122d73071d5ec | [
"BSD-3-Clause"
] | null | null | null | from django import template
from ..models import InterConsultas
register = template.Library()
@register.simple_tag
def total_inter_consultas(historia_id):
"""
Devuelve el total de inter consultas para una historia clinica
"""
return InterConsultas.objects.filter(historia=historia_id).count() | 28.181818 | 70 | 0.774194 | 38 | 310 | 6.184211 | 0.684211 | 0.119149 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.145161 | 310 | 11 | 70 | 28.181818 | 0.886792 | 0.2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.333333 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
0e1bbb0df00b6e82654050d4532839d24b905f49 | 1,956 | py | Python | pyrrigate/controllers.py | hstefan/pyrrigate | 8e83a401b88044a51e4dfdc74500c3f93552a1a3 | [
"MIT"
] | 1 | 2017-05-19T03:41:14.000Z | 2017-05-19T03:41:14.000Z | pyrrigate/controllers.py | hstefan/pyrrigate | 8e83a401b88044a51e4dfdc74500c3f93552a1a3 | [
"MIT"
] | null | null | null | pyrrigate/controllers.py | hstefan/pyrrigate | 8e83a401b88044a51e4dfdc74500c3f93552a1a3 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import abc
import logging
try:
import wiringpi
except ModuleNotFoundError:
logging.warning('wiringpi is not installed! This should only be used with --use-dummy-gpio.')
from pyrrigate.PyrrigateConfig_pb2 import ControllerConf
class Controller(metaclass=abc.ABCMeta):
@staticmethod
def from_config(conf: ControllerConf, dummy=False):
"""Creates a controller object for the given configuration."""
# TODO: more controller types
assert conf.type == ControllerConf.CONTROLLER_DIGITAL_PIN
return DigitalPinController(conf.id, conf.pinNumber, conf.reversed, dummy)
def __init__(self, controller_id):
self.controller_id = controller_id
@abc.abstractclassmethod
def activate(self):
raise NotImplementedError
@abc.abstractclassmethod
def deactivate(self):
raise NotImplementedError
@abc.abstractclassmethod
def configure(self):
raise NotImplementedError
class DigitalPinController(Controller):
def __init__(self, controller_id: str, pin: int, reverse: bool=False, dummy=False):
super().__init__(controller_id)
self.pin = pin
self.reverse = reverse
self.dummy = dummy
def activate(self):
logging.info('Activating controller "%s".', self.controller_id)
self._digital_write(not self.reverse)
def deactivate(self):
logging.info('Deactivating controller "%s".', self.controller_id)
self._digital_write(self.reverse)
def _digital_write(self, value: bool):
if self.dummy:
logging.info('digital_write(%d, %r)', self.pin, value)
else:
wiringpi.digitalWrite(self.pin, wiringpi.HIGH if value else wiringpi.LOW)
def configure(self):
if self.dummy:
logging.info('pin_mode(%d, OUTPUT)', self.pin)
else:
wiringpi.pinMode(self.pin, wiringpi.OUTPUT)
| 31.047619 | 97 | 0.680982 | 222 | 1,956 | 5.86036 | 0.400901 | 0.064566 | 0.061491 | 0.046118 | 0.216756 | 0.147579 | 0.066103 | 0.066103 | 0 | 0 | 0 | 0.001965 | 0.219325 | 1,956 | 62 | 98 | 31.548387 | 0.850033 | 0.06544 | 0 | 0.355556 | 0 | 0 | 0.093956 | 0 | 0 | 0 | 0 | 0.016129 | 0.022222 | 1 | 0.222222 | false | 0 | 0.088889 | 0 | 0.377778 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
0e359457160d6667e3a0621da01b28b0e49843f4 | 4,186 | py | Python | library/pyvim_umount_cd.py | Rthur/alt-pyvim | 9d4dc8be79949972ae80c5ee79ffbc4d70aacb54 | [
"Apache-2.0"
] | null | null | null | library/pyvim_umount_cd.py | Rthur/alt-pyvim | 9d4dc8be79949972ae80c5ee79ffbc4d70aacb54 | [
"Apache-2.0"
] | null | null | null | library/pyvim_umount_cd.py | Rthur/alt-pyvim | 9d4dc8be79949972ae80c5ee79ffbc4d70aacb54 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
DOCUMENTATION = '''
---
author: Arthur Reyes
module: pyvim_umount_cd
description:
- unmount an iso on Virtual Machine
version_added: "0.1"
requirements:
- pyVim
notes:
- This module disables SSL Security and warnings for invalid certificates.
- Tested with Ansible 2.0.1.0
options:
host:
description:
- The vSphere server that manages the cluster where the guest is
located on.
required: true
aliases: ['vsphere']
login:
description:
- A login name which can authenticate to the vSphere cluster.
required: true
aliases: ['admin']
password:
description:
- The password used to authenticate to the vSphere cluster.
required: true
aliases: ['secret']
port:
description:
- The port the vSphere listens on.
required: false
default: 443
uuid:
description:
- the instanceUuid of the guest. Useful to identify a unique guest
when multiple virtual machines with the same name exist across
clusters.
required: true
device:
description:
- the virtual device name where media will be mounded.
required: true
'''
import atexit
import sys
import requests
try:
from pyVim import connect
from pyVmomi import vmodl
from pyVmomi import vim
from tools import cli
from tools import tasks
except ImportError:
print "failed=True msg='pyvmoni python module unavailable'"
sys.exit(1)
def main():
module = AnsibleModule(
argument_spec = dict(
host = dict(required=True, aliases=['vsphere']),
port = dict(required=False, default=443),
login = dict(required=True, aliases=['admin']),
password = dict(required=True, aliases=['secret']),
uuid = dict(required=False, default=None),
device = dict(required=True),
)
)
host = module.params.get('host')
port = module.params.get('port')
login = module.params.get('login')
password = module.params.get('password')
uuid = module.params.get('uuid')
device = module.params.get('device')
context = connect.ssl.SSLContext(connect.ssl.PROTOCOL_TLSv1)
context.verify_mode = connect.ssl.CERT_NONE
requests.packages.urllib3.disable_warnings()
try:
si = connect.SmartConnect(host=host, port=int(port), user=login,
pwd=password, sslContext=context)
except Exception, e:
module.fail_json(msg='Failed to connect to %s: %s' % (host, e))
atexit.register(connect.Disconnect, si)
content = si.RetrieveContent()
container = content.viewManager.CreateContainerView(content.rootFolder,
[vim.VirtualMachine], True)
target = None
children = container.view
for child in children:
if uuid and child.summary.config.instanceUuid == uuid:
target = child
if not target:
module.fail_json(msg='guest machine not found: %s' % (uuid))
for dev in target.config.hardware.device:
if isinstance(dev, vim.vm.device.VirtualCdrom) \
and dev.deviceInfo.label == device:
cdrom = dev
if not cdrom:
module.fail_json(msg='virtual device not found: %s' % (device))
if hasattr(cdrom.backing, 'RemotePassthroughBackingInfo'):
module.exit_json(changed=False)
cdrom_spec = vim.vm.device.VirtualDeviceSpec()
cdrom_spec.operation = vim.vm.device.VirtualDeviceSpec.Operation.edit
cdrom_spec.device = vim.vm.device.VirtualCdrom()
cdrom_spec.device.controllerKey = cdrom.controllerKey
cdrom_spec.device.key = cdrom.key
cdrom_spec.device.connectable = vim.vm.device.VirtualDevice.ConnectInfo()
cdrom_spec.device.backing = \
vim.vm.device.VirtualCdrom.RemotePassthroughBackingInfo()
cdrom_spec.device.connectable.allowGuestControl = True
container.Destroy()
dev_changes = []
dev_changes.append(cdrom_spec)
spec = vim.vm.ConfigSpec()
spec.deviceChange = dev_changes
task = target.ReconfigVM_Task(spec=spec)
tasks.wait_for_tasks(si, [task])
if str(dev_changes[0]).find('vim.vm.device.VirtualCdrom.RemotePassthroughBackingInfo') > 0:
module.exit_json(changed=True)
else:
module.fail_json(msg='Device in unknown state: %s, %s' % (device, dev_changes[0]))
#<<INCLUDE_ANSIBLE_MODULE_COMMON>>
main()
| 28.868966 | 93 | 0.701147 | 522 | 4,186 | 5.557471 | 0.3659 | 0.037229 | 0.026543 | 0.02344 | 0.085143 | 0.034471 | 0.034471 | 0.034471 | 0 | 0 | 0 | 0.005325 | 0.192547 | 4,186 | 144 | 94 | 29.069444 | 0.852959 | 0.011706 | 0 | 0.114754 | 0 | 0 | 0.343009 | 0.020077 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.065574 | 0.07377 | null | null | 0.008197 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
0e36cdaf39db8bd29d0f785719fbaa8ca3114a95 | 1,480 | py | Python | stdplugins/follow.py | PratikGoswamiPM/BotHub | d02f9773418d2651d85e6cc3d797e78a3afef325 | [
"Apache-2.0"
] | 1 | 2021-07-18T06:57:27.000Z | 2021-07-18T06:57:27.000Z | stdplugins/follow.py | PratikGoswamiPM/BotHub | d02f9773418d2651d85e6cc3d797e78a3afef325 | [
"Apache-2.0"
] | null | null | null | stdplugins/follow.py | PratikGoswamiPM/BotHub | d02f9773418d2651d85e6cc3d797e78a3afef325 | [
"Apache-2.0"
] | null | null | null | """ Userbot module for getting information about the social media. """
from asyncio import create_subprocess_shell as asyncrunapp
from asyncio.subprocess import PIPE as asyncPIPE
from platform import python_version, uname
from shutil import which
from os import remove
from telethon import version
from random import randint
from asyncio import sleep
from os import execl
import sys
import os
import io
import sys
import json
from sample_config import Config
from uniborg.util import admin_cmd
import uniborg
# ================= CONSTANT =================
DEFAULTUSER = Config.ALIVE_NAME if Config.ALIVE_NAME else uname().node
# ============================================
@borg.on(admin_cmd(pattern="follow ?(.*)"))
async def follow(follow):
""" For .follow command, check if the bot is running. """
await follow.edit(
f"`FOLLOW {DEFAULTUSER} ON` \n\n"
f"[Instagram](https://www.instagram.com/pm_the_angry) \n\n"
f"[Telegram](https://www.instagram.com/PM_The_Angry) \n\n"
f"[Messenger](https://m.me/pratikgoswami9141) \n\n"
f"[GitHub](https://github.com/puribapu9141) \n\n"
f"[Facebook](https://www.facebook.com/pratikgoswami9141) \n\n"
f"[Twitter](https://twitter.com/PM_The_Angry) \n\n"
f"[LinkedIn](https://www.linkedin.com/in/pratik-goswami-pm-94122415b) \n\n"
)
| 36.097561 | 96 | 0.618243 | 187 | 1,480 | 4.818182 | 0.44385 | 0.017758 | 0.023307 | 0.043285 | 0.09101 | 0.09101 | 0.09101 | 0.073252 | 0.073252 | 0.073252 | 0 | 0.017437 | 0.225 | 1,480 | 40 | 97 | 37 | 0.768091 | 0 | 0 | 0.066667 | 0 | 0.033333 | 0.338364 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.566667 | null | null | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
0e3c2c0f177e307b955c9b1a44dda9edb96e7f53 | 551 | py | Python | gpt2_bot/__init__.py | chenyaoBOYqu/albino | 8c43893b8d8dc3f92a01c2a6f8f66f2bd123b333 | [
"CC0-1.0"
] | 8 | 2020-06-30T20:16:14.000Z | 2021-01-26T00:51:27.000Z | gpt2_bot/__init__.py | chenyaoBOYqu/albino | 8c43893b8d8dc3f92a01c2a6f8f66f2bd123b333 | [
"CC0-1.0"
] | null | null | null | gpt2_bot/__init__.py | chenyaoBOYqu/albino | 8c43893b8d8dc3f92a01c2a6f8f66f2bd123b333 | [
"CC0-1.0"
] | 3 | 2020-09-02T23:03:04.000Z | 2021-03-21T23:47:46.000Z | import gpt2_bot.irc, gpt2_bot.commands, gpt2_bot.gpt2
def assemble_bot(config_path):
ircbot = gpt2_bot.irc.IRCBot(config_path)
ircbot.register_command("ping", gpt2_bot.commands.ping_command)
ircbot.register_command("ignore", gpt2_bot.commands.ignore_command)
ircbot.register_command("unignore", gpt2_bot.commands.unignore_command)
ircbot.register_command("temp", gpt2_bot.commands.temp_command)
ircbot.register_command("shitposting", gpt2_bot.commands.shitposting_command)
gpt2_bot.gpt2.init(ircbot)
return ircbot
| 34.4375 | 81 | 0.789474 | 74 | 551 | 5.567568 | 0.256757 | 0.169903 | 0.218447 | 0.271845 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02439 | 0.107078 | 551 | 15 | 82 | 36.733333 | 0.813008 | 0 | 0 | 0 | 0 | 0 | 0.059891 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.1 | 0 | 0.3 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
0e484b20f678e870513027b30be016da2c77c8b9 | 11,218 | py | Python | insights/tests/client/test_archive.py | TZ3070/insights-core | 13f4fc6bfcb89d76f0255c6259902360a298d619 | [
"Apache-2.0"
] | null | null | null | insights/tests/client/test_archive.py | TZ3070/insights-core | 13f4fc6bfcb89d76f0255c6259902360a298d619 | [
"Apache-2.0"
] | null | null | null | insights/tests/client/test_archive.py | TZ3070/insights-core | 13f4fc6bfcb89d76f0255c6259902360a298d619 | [
"Apache-2.0"
] | null | null | null | from insights.client.archive import InsightsArchive
from mock.mock import patch, Mock, call
from unittest import TestCase
from pytest import raises
test_timestamp = '000000'
test_hostname = 'testhostname'
test_archive_name = 'insights-testhostname-000000'
test_archive_dir = '/var/tmp/test/insights-testhostname-000000'
test_obfuscated_archive_dir = '/var/tmp/test/insights-localhost-000000'
test_cmd_dir = '/var/tmp/test/insights-testhostname-000000/insights_commands'
test_tmp_dir = '/var/tmp/insights-archive-000000'
@patch('insights.client.archive.time.strftime', Mock(return_value=test_timestamp))
@patch('insights.client.archive.determine_hostname', Mock(return_value=test_hostname))
@patch('insights.client.archive.tempfile.mkdtemp')
@patch('insights.client.archive.atexit.register')
class TestInsightsArchive(TestCase):
@patch('insights.client.archive.InsightsArchive.cleanup_previous_archive')
def test_init_archive(self, cleanup, register, mkdtemp):
'''
Verify archive is created with default parameters
'''
config = Mock()
config.obfuscate_hostname = False
archive = InsightsArchive(config)
assert archive.config == config
assert archive.tmp_dir
assert archive.archive_dir is None
assert archive.cmd_dir is None
assert archive.compressor == config.compressor
assert archive.archive_name == test_archive_name
cleanup.assert_called_once()
mkdtemp.assert_has_calls([call(dir='/var/tmp/', prefix='insights-archive-')])
register.assert_called_once()
@patch('insights.client.archive.os.makedirs')
@patch('insights.client.archive.os.path.exists', Mock(return_value=False))
def test_create_archive_dir_default(self, makedirs, _, __):
'''
Verify archive_dir is created when it does not already exist
'''
config = Mock()
config.obfuscate_hostname = False
archive = InsightsArchive(config)
# give this a discrete value so we can check the results
archive.tmp_dir = '/var/tmp/test'
result = archive.create_archive_dir()
makedirs.assert_called_once_with(test_archive_dir, 0o700)
# ensure the archive_dir is returned from the function
assert result == test_archive_dir
# ensure the class attr is set
assert archive.archive_dir == test_archive_dir
# ensure the retval and attr are the same
assert result == archive.archive_dir
@patch('insights.client.archive.glob.glob', return_value=[])
@patch('insights.client.archive.shutil.rmtree')
def test_tmp_directory_no_cleanup(self, rmtree, glob, _, __):
InsightsArchive(Mock())
glob.assert_called_with('/var/tmp/insights-archive-*')
rmtree.assert_not_called()
@patch('insights.client.archive.glob.glob', return_value=[test_tmp_dir])
@patch('insights.client.archive.shutil.rmtree')
def test_tmp_directory_cleanup(self, rmtree, glob, _, __):
InsightsArchive(Mock())
glob.assert_called_with('/var/tmp/insights-archive-*')
rmtree.assert_called_with(test_tmp_dir, True)
@patch('insights.client.archive.os.makedirs')
@patch('insights.client.archive.os.path.exists', Mock(return_value=False))
def test_create_archive_dir_obfuscated(self, makedirs, _, __):
'''
Verify archive_dir is created when it does not already exist
'''
config = Mock()
config.obfuscate_hostname = True
archive = InsightsArchive(config)
# give this a discrete value so we can check the results
archive.tmp_dir = '/var/tmp/test'
result = archive.create_archive_dir()
makedirs.assert_called_once_with(test_obfuscated_archive_dir, 0o700)
# ensure the archive_dir is returned from the function
assert result == test_obfuscated_archive_dir
# ensure the class attr is set
assert archive.archive_dir == test_obfuscated_archive_dir
# ensure the retval and attr are the same
assert result == archive.archive_dir
@patch('insights.client.archive.os.makedirs')
@patch('insights.client.archive.os.path.exists', return_value=False)
def test_create_archive_dir_defined_path_DNE(self, exists, makedirs, _, __):
'''
Verify archive_dir is created when the attr is defined but
the path does not exist
'''
config = Mock()
config.obfuscate_hostname = False
archive = InsightsArchive(config)
# give this a discrete value so we can check the results
archive.tmp_dir = '/var/tmp/test'
archive.archive_dir = test_archive_dir
result = archive.create_archive_dir()
exists.assert_has_calls([call(archive.archive_dir),
call(test_archive_dir)])
makedirs.assert_called_once_with(test_archive_dir, 0o700)
# ensure the archive_dir is returned from the function
assert result == test_archive_dir
# ensure the class attr is set
assert archive.archive_dir == test_archive_dir
# ensure the retval and attr are the same
assert result == archive.archive_dir
@patch('insights.client.archive.os.makedirs')
@patch('insights.client.archive.os.path.exists', return_value=True)
def test_create_archive_dir_undef_path_exists(self, exists, makedirs, _, __):
'''
Verify archive_dir is not re-created when the attr is undefined but
the path exists
'''
config = Mock()
config.obfuscate_hostname = False
archive = InsightsArchive(config)
# give this a discrete value so we can check the results
archive.tmp_dir = '/var/tmp/test'
result = archive.create_archive_dir()
makedirs.assert_not_called()
exists.assert_called_once_with(test_archive_dir)
# ensure the archive_dir is returned from the function
assert result == test_archive_dir
# ensure the class attr is set
assert archive.archive_dir == test_archive_dir
# ensure the retval and attr are the same
assert result == archive.archive_dir
@patch('insights.client.archive.os.makedirs')
@patch('insights.client.archive.os.path.exists', return_value=True)
def test_create_archive_dir_defined_path_exists(self, exists, makedirs, _, __):
'''
When archive_dir is defined and exists, simply return the
class attr and do not attempt to create it
'''
archive = InsightsArchive(Mock())
# give this a discrete value so we can check the results
archive.tmp_dir = '/var/tmp/test'
archive.archive_dir = test_archive_dir
result = archive.create_archive_dir()
makedirs.assert_not_called()
exists.assert_called_once_with(archive.archive_dir)
# ensure the archive_dir is returned from the function
assert result == test_archive_dir
# ensure the class attr is set
assert archive.archive_dir == test_archive_dir
# ensure the retval and attr are the same
assert result == archive.archive_dir
@patch('insights.client.archive.InsightsArchive.create_archive_dir', return_value=test_archive_dir)
@patch('insights.client.archive.os.makedirs')
@patch('insights.client.archive.os.path.exists', return_value=False)
def test_create_command_dir(self, exists, makedirs, create_archive_dir, _, __):
'''
Verify insights_commands dir is created
'''
archive = InsightsArchive(Mock())
archive.archive_dir = test_archive_dir
result = archive.create_command_dir()
create_archive_dir.assert_called_once()
makedirs.assert_called_once_with(test_cmd_dir, 0o700)
# ensure the cmd_dir is returned from the function
assert result == test_cmd_dir
# ensure the class attr is set
assert archive.cmd_dir == test_cmd_dir
# ensure the retval and attr are the same
assert result == archive.cmd_dir
@patch('insights.client.archive.InsightsArchive.create_archive_dir', return_value=test_archive_dir)
@patch('insights.client.archive.os.path.join', Mock())
def test_get_full_archive_path(self, create_archive_dir, _, __):
'''
Verify create_archive_dir is called when calling get_full_archive_path
'''
archive = InsightsArchive(Mock())
archive.get_full_archive_path('test')
create_archive_dir.assert_called_once()
@patch('insights.client.archive.InsightsArchive.create_archive_dir', return_value=test_archive_dir)
@patch('insights.client.archive.os.path.join', Mock())
@patch('insights.client.archive.os.path.isdir', Mock())
@patch('insights.client.archive.shutil.copytree', Mock())
def test_copy_dir(self, create_archive_dir, _, __):
'''
Verify create_archive_dir is called when calling copy_dir
'''
archive = InsightsArchive(Mock())
archive.copy_dir('test')
create_archive_dir.assert_called_once()
@patch('insights.client.archive.shutil.copyfile')
@patch('insights.client.archive.os.path.isdir', Mock())
@patch('insights.client.archive.os.path.exists', return_value=True)
def test_keep_archive(self, path_exists, copyfile, _, __):
archive = InsightsArchive(Mock())
archive.tar_file = '/var/tmp/insights-archive-test.tar.gz'
archive.keep_archive_dir = '/var/tmp/test-archive'
archive.storing_archive()
copyfile.assert_called_once_with(archive.tar_file, '/var/tmp/test-archive/insights-archive-test.tar.gz')
@patch('insights.client.archive.shutil.copyfile', side_effect=OSError)
@patch('insights.client.archive.os.path.join', Mock())
@patch('insights.client.archive.os.path.isdir', Mock())
@patch('insights.client.archive.os.path.basename', Mock())
@patch('insights.client.archive.logger')
@patch('insights.client.archive.os.path.exists', return_value=True)
def test_keep_archive_err_during_copy(self, path_exists, logger, copyfile, _, __):
archive = InsightsArchive(Mock())
archive.archive_stored = '/var/tmp/test-archive/test-store-archive'
archive.keep_archive_dir = '/var/tmp/test-archive'
with raises(Exception):
archive.storing_archive()
logger.error.assert_called_once_with('ERROR: Could not stored archive to %s', archive.archive_stored)
@patch('insights.client.archive.os.makedirs', side_effect=OSError)
@patch('insights.client.archive.os.path.exists', return_value=False)
@patch('insights.client.archive.os.path.join', Mock())
@patch('insights.client.archive.os.path.isdir', Mock())
@patch('insights.client.archive.os.path.basename', Mock())
@patch('insights.client.archive.logger')
def test_keep_arhive_err_creating_directory(self, logger, path_exists, mkdir, _, __):
archive = InsightsArchive(Mock())
archive.keep_archive_dir = '/var/tmp/test-archive'
with raises(Exception):
archive.storing_archive()
logger.error.assert_called_once_with('ERROR: Could not create %s', archive.keep_archive_dir)
| 46.937238 | 112 | 0.698431 | 1,410 | 11,218 | 5.312057 | 0.097163 | 0.098798 | 0.123364 | 0.149266 | 0.769426 | 0.717356 | 0.688518 | 0.661415 | 0.646462 | 0.615354 | 0 | 0.005798 | 0.200571 | 11,218 | 238 | 113 | 47.134454 | 0.829393 | 0.143698 | 0 | 0.590361 | 0 | 0 | 0.245616 | 0.226369 | 0 | 0 | 0 | 0 | 0.277108 | 1 | 0.084337 | false | 0 | 0.024096 | 0 | 0.114458 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
0e5a1ff8837a7f80b75f3c34fcfe94fefd792abd | 778 | py | Python | proxyid/exceptions.py | felipepaes/proxyid | 122112f5495c5075765c1dd5669fd34be5f2de3a | [
"BSD-2-Clause"
] | null | null | null | proxyid/exceptions.py | felipepaes/proxyid | 122112f5495c5075765c1dd5669fd34be5f2de3a | [
"BSD-2-Clause"
] | null | null | null | proxyid/exceptions.py | felipepaes/proxyid | 122112f5495c5075765c1dd5669fd34be5f2de3a | [
"BSD-2-Clause"
] | null | null | null | from typing import Union
class UnkownProxiedValueError(Exception):
"""Exception for unkown values given to be decoded"""
def __init__(self, value: str):
self.value = value
def __str__(self) -> str:
return (f"Proxied value {self.value} is unkown. "
"The value is wrong or was hashed with a different salt.")
class ProxyidConfigurationError(Exception):
"""Exception for missing configuration"""
def __init__(self, value: Union[str, None] = None):
self.value = value
def __str__(self) -> str:
if self.value is not None:
return (f"PROXYID[{self.value}] is missing, "
"check settings.py")
else:
return "PROXYID dict could not be found in settings.py"
| 28.814815 | 74 | 0.623393 | 95 | 778 | 4.936842 | 0.494737 | 0.134328 | 0.070362 | 0.06823 | 0.115139 | 0.115139 | 0.115139 | 0 | 0 | 0 | 0 | 0 | 0.27892 | 778 | 26 | 75 | 29.923077 | 0.836007 | 0.106684 | 0 | 0.25 | 0 | 0 | 0.277778 | 0.030702 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.0625 | 0.0625 | 0.625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
0e94b7f304aadae2a7fece27e15ff19ea3cef175 | 1,006 | py | Python | poetry/utils/toml_file.py | radek-sprta/poetry | c57e1ddfd50da4e4ec60c3c27152811e07bdba2a | [
"MIT"
] | null | null | null | poetry/utils/toml_file.py | radek-sprta/poetry | c57e1ddfd50da4e4ec60c3c27152811e07bdba2a | [
"MIT"
] | null | null | null | poetry/utils/toml_file.py | radek-sprta/poetry | c57e1ddfd50da4e4ec60c3c27152811e07bdba2a | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import pytoml as toml
from poetry.toml import dumps
from poetry.toml import loads
from poetry.toml import TOMLFile
from ._compat import Path
class TomlFile:
def __init__(self, path):
self._path = Path(path)
@property
def path(self):
return self._path
def read(self, raw=False): # type: (bool) -> dict
with self._path.open(encoding="utf-8") as f:
if raw:
return toml.loads(f.read())
return loads(f.read())
def dumps(self, data, sort=False): # type: (...) -> str
if not isinstance(data, TOMLFile):
data = toml.dumps(data, sort_keys=sort)
else:
data = dumps(data)
return data
def write(self, data, sort=False): # type: (...) -> None
data = self.dumps(data, sort=sort)
with self._path.open("w", encoding="utf-8") as f:
f.write(data)
def __getattr__(self, item):
return getattr(self._path, item)
| 23.952381 | 61 | 0.575547 | 133 | 1,006 | 4.240602 | 0.323308 | 0.085106 | 0.074468 | 0.106383 | 0.12766 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004219 | 0.293241 | 1,006 | 41 | 62 | 24.536585 | 0.78903 | 0.080517 | 0 | 0 | 0 | 0 | 0.011957 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.214286 | false | 0 | 0.178571 | 0.071429 | 0.607143 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
0ea17ccfe6e690af5fcca0d6e2be9635465f9c66 | 2,502 | py | Python | termicoder/models/Judge.py | diveshuttam/termicoder_beta | fe8f8dcaf1696630380c803d404cc370278b2e77 | [
"MIT"
] | null | null | null | termicoder/models/Judge.py | diveshuttam/termicoder_beta | fe8f8dcaf1696630380c803d404cc370278b2e77 | [
"MIT"
] | null | null | null | termicoder/models/Judge.py | diveshuttam/termicoder_beta | fe8f8dcaf1696630380c803d404cc370278b2e77 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
# ABC is the AbstractBaseClass in python
from abc import ABC, abstractmethod
# Judge is an abstract class to be subclassed and implemented
# by Judge developers.
# Judge class kind of doubles up for login-logout as well as a Factory
# for the contest and problem classes for the particular judge
class Judge(ABC):
@abstractmethod
def __init__(self, session_data=None):
# Init should not have any network requests
# do them in login, logout, check_running_contest
self.session_data = session_data
@abstractmethod
def check_login(self):
pass
@abstractmethod
def login(self):
# login also controls all the messages being displayed to the user
pass
@abstractmethod
def logout(self):
# logout also controls all the messages displayed to the user
pass
@abstractmethod
def get_running_contests(self):
# return a string of running contest, do it in form of a table.
pass
# This method serves both as a problem getter as well as kind of factory
# for problem
@abstractmethod
def get_problem(self, problem_code, contest_code):
# Method should call the respective Problem.__init__ method to create a
# problem instance and return it
pass
@abstractmethod
def get_contest(self, contest_code):
# Method should call the respective Problem.__init__ method to create a
# contest instance with all its problems and return it
pass
@abstractmethod
def get_problem_url(self, problem_code, contest_code):
# Method should return the url used by judge for a particular problem
pass
@abstractmethod
def get_contest_url(self, contest_code):
# Method should return the url used by judge for a particular contest
pass
@abstractmethod
def get_contests_list_url(self):
# Method should return the url used by judge for listing contest
pass
@abstractmethod
def submit(self, problem, code_text, extension):
# problem is an instance of judge's problem class
# code test is the code to be submitted
# extension is the extension of the code file to determine
# language of submission
pass
@abstractmethod
def get_testcase(self, inp, ans, code):
# returns the testcase with inp, ans and code
# used by termicoder test to output diff
pass
| 30.888889 | 79 | 0.682254 | 337 | 2,502 | 4.95549 | 0.311573 | 0.122156 | 0.113174 | 0.086228 | 0.338922 | 0.28024 | 0.28024 | 0.173653 | 0.173653 | 0.150898 | 0 | 0.000548 | 0.270983 | 2,502 | 80 | 80 | 31.275 | 0.915022 | 0.527578 | 0 | 0.605263 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.315789 | false | 0.289474 | 0.026316 | 0 | 0.368421 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
7eb7ce4862b50c32cfc7e1509cea7e7c1c736b99 | 612 | py | Python | tests/utils.py | SmartDataAnalytics/KEEN-Model-Zoo | 11856a2828c0010e8955a555730c7ba1a009399e | [
"MIT"
] | 2 | 2020-03-01T08:45:49.000Z | 2020-03-11T02:40:39.000Z | tests/utils.py | SmartDataAnalytics/KEEN-Model-Zoo | 11856a2828c0010e8955a555730c7ba1a009399e | [
"MIT"
] | null | null | null | tests/utils.py | SmartDataAnalytics/KEEN-Model-Zoo | 11856a2828c0010e8955a555730c7ba1a009399e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Utilities for test cases."""
import json
import os
import torch
from pykeen.kge_models import get_kge_model
from torch.nn import Module
def load_model(model_directory: str) -> Module:
"""Load trained KGE model."""
# Load configuration file
with open(os.path.join(model_directory, 'configuration.json')) as f:
config = json.load(f)
trained_kge_model: Module = get_kge_model(config=config)
path_to_model = os.path.join(model_directory, 'trained_model.pkl')
trained_kge_model.load_state_dict(torch.load(path_to_model))
return trained_kge_model
| 24.48 | 72 | 0.728758 | 90 | 612 | 4.711111 | 0.422222 | 0.113208 | 0.141509 | 0.089623 | 0.113208 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001949 | 0.161765 | 612 | 24 | 73 | 25.5 | 0.824561 | 0.156863 | 0 | 0 | 0 | 0 | 0.069444 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.416667 | 0 | 0.583333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
7ec9bd3b77169671912625d50d256d936158668c | 4,635 | py | Python | backend/models.py | aj212/group-expense-manager | 001c0d413b24a4eb124a0a6d540a2b81654bc01a | [
"MIT"
] | 2 | 2020-05-03T15:12:01.000Z | 2021-05-17T14:11:25.000Z | backend/models.py | aj212/group-expense-manager | 001c0d413b24a4eb124a0a6d540a2b81654bc01a | [
"MIT"
] | 5 | 2020-09-06T18:37:23.000Z | 2022-02-18T06:52:08.000Z | backend/models.py | akashvermaofskt/group-expense-manager | 001c0d413b24a4eb124a0a6d540a2b81654bc01a | [
"MIT"
] | 4 | 2019-08-06T10:44:20.000Z | 2021-08-23T17:37:54.000Z | from sqlalchemy import Column,Integer,String, DateTime
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import relationship, sessionmaker
from sqlalchemy import create_engine
from passlib.apps import custom_app_context as pwd_context
import random, string
from itsdangerous import(TimedJSONWebSignatureSerializer as Serializer, BadSignature, SignatureExpired)
import datetime
Base = declarative_base()
secret_key = ''.join(random.choice(string.ascii_uppercase + string.digits) for x in range(32))
class UserInfo(Base):
__tablename__ = "UserData"
#attributes for userdata table
id = Column(Integer, primary_key = True )
name = Column( String(100), nullable = False )
email = Column( String(120), unique = True )
password_hash = Column( String(100), nullable = False )
status = Column( String(10), nullable = False ) #for verify email
phone_number = Column(Integer,nullable = True)
created_on = Column(DateTime, nullable=False, default=datetime.datetime.utcnow)
updated_on = Column(DateTime(), nullable=False, default=datetime.datetime.utcnow)
def hash_password(self, password):
self.password_hash = pwd_context.encrypt(password)
def verify_password(self, password):
return pwd_context.verify(password, self.password_hash)
def generate_auth_token(self, expiration=600000):
s = Serializer(secret_key, expires_in = expiration)
return s.dumps({'email': self.email })
@staticmethod
def verify_auth_token(token):
s = Serializer(secret_key)
try:
data = s.loads(token)
except SignatureExpired:
#Valid Token, but expired
return None
except BadSignature:
#Invalid Token
return None
email = data['email']
return email
def __init__(self, name, email):
self.name = name
self.email = email
self.status = "Not Verified"
def toJSON(self):
return { "login_details" : {
"email" : self.email,
"name" : self.name,
"status" : self.status
}
}
class GroupInfo(Base):
__tablename__ = "GroupData"
#attributes for userdata table
id = Column(Integer, primary_key = True )
name = Column( String(100), nullable = False)
owner = Column( String(120), nullable = False)
status = Column( String(10), nullable = False ) #active or not
created_on = Column(DateTime(), nullable=False, default=datetime.datetime.utcnow)
updated_on = Column(DateTime(), nullable=False, default=datetime.datetime.utcnow)
def __init__(self, name, owner):
self.name = name
self.owner = owner
self.status = "Active"
def toJSON(self):
return { "Group Details" : {
"owner" : self.owner,
"name" : self.name,
"status" : self.status
}
}
class GroupMapping(Base):
__tablename__ = "GroupMapping"
#attributes for userdata table
id = Column(Integer, primary_key = True )
user_id = Column( Integer, nullable = False)
group_id = Column( Integer, nullable = False )
spent = Column( Integer, nullable = False )
paid = Column( Integer, nullable = False )
created_on = Column(DateTime(), nullable=False, default=datetime.datetime.utcnow)
updated_on = Column(DateTime(), nullable=False, default=datetime.datetime.utcnow)
def __init__(self, user_id, group_id):
self.user_id = user_id
self.group_id = group_id
self.spent = 0
self.paid = 0
def toJSON(self):
return { "Group Mapping Details" : {
"Group" : self.group_id,
"User" : self.user_id
}
}
class FriendMapping(Base):
__tablename__ = "Friends"
#attributes for userdata table
user_id = Column( Integer, nullable = False, primary_key = True)
friend_id = Column( Integer, nullable = False, primary_key = True)
created_on = Column(DateTime(), nullable=False, default=datetime.datetime.utcnow)
updated_on = Column(DateTime(), nullable=False, default=datetime.datetime.utcnow)
def __init__(self, user_id, friend_id):
self.user_id = user_id
self.friend_id = friend_id
def toJSON(self):
return { "Friend Mapping Details" : {
"User_id" : self.user_id,
"Friend_id" : self.friend_id
}
}
# sqlite://<nohostname>/<path>
# where <path> is relative:
engine = create_engine('sqlite:///version1.db',connect_args={'check_same_thread': False})
Base.metadata.create_all(engine)
| 34.849624 | 103 | 0.654585 | 529 | 4,635 | 5.553875 | 0.238185 | 0.088496 | 0.043567 | 0.065351 | 0.422737 | 0.391763 | 0.36998 | 0.332539 | 0.273996 | 0.273996 | 0 | 0.008547 | 0.242718 | 4,635 | 132 | 104 | 35.113636 | 0.82849 | 0.051133 | 0 | 0.266667 | 0 | 0 | 0.051504 | 0.004786 | 0 | 0 | 0 | 0 | 0 | 1 | 0.114286 | false | 0.057143 | 0.07619 | 0.047619 | 0.590476 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 |
7ecb31f73d3266cb79c9e59df821ed3f9582be9a | 1,389 | py | Python | tempest/services/compute/v3/xml/version_client.py | BeenzSyed/tempest | 7a64ee1216d844f6b99928b53f5c665b84cb8719 | [
"Apache-2.0"
] | null | null | null | tempest/services/compute/v3/xml/version_client.py | BeenzSyed/tempest | 7a64ee1216d844f6b99928b53f5c665b84cb8719 | [
"Apache-2.0"
] | null | null | null | tempest/services/compute/v3/xml/version_client.py | BeenzSyed/tempest | 7a64ee1216d844f6b99928b53f5c665b84cb8719 | [
"Apache-2.0"
] | null | null | null | # Copyright 2014 NEC Corporation
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
from lxml import etree
from tempest.common import rest_client
from tempest.services.compute.xml import common
class VersionV3ClientXML(rest_client.RestClientXML):
def __init__(self, config, username, password, auth_url, tenant_name=None):
super(VersionV3ClientXML, self).__init__(config, username,
password, auth_url,
tenant_name)
self.service = self.config.compute.catalog_v3_type
def _parse_array(self, node):
json = common.xml_to_json(node)
return json
def get_version(self):
resp, body = self.get('', self.headers)
body = self._parse_array(etree.fromstring(body))
return resp, body
| 36.552632 | 79 | 0.673146 | 178 | 1,389 | 5.123596 | 0.595506 | 0.065789 | 0.028509 | 0.035088 | 0.085526 | 0.085526 | 0.085526 | 0 | 0 | 0 | 0 | 0.010638 | 0.25558 | 1,389 | 37 | 80 | 37.540541 | 0.871373 | 0.432685 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1875 | false | 0.125 | 0.1875 | 0 | 0.5625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 |
7ed0ea9fc79c14ad82d0621372bfaf4de4ad04da | 729 | py | Python | conjur/resource.py | jdumas/conjur-api-python3 | 96e438765d580722357a070507305feafcb59d2a | [
"Apache-2.0"
] | 16 | 2019-05-17T15:34:59.000Z | 2021-11-08T10:30:21.000Z | conjur/resource.py | jdumas/conjur-api-python3 | 96e438765d580722357a070507305feafcb59d2a | [
"Apache-2.0"
] | 301 | 2019-05-07T18:27:10.000Z | 2022-01-26T13:03:49.000Z | conjur/resource.py | jdumas/conjur-api-python3 | 96e438765d580722357a070507305feafcb59d2a | [
"Apache-2.0"
] | 10 | 2019-07-30T17:00:13.000Z | 2022-01-20T17:00:34.000Z | # -*- coding: utf-8 -*-
"""
Resource module
"""
# pylint: disable=too-few-public-methods
class Resource:
"""
Used for representing Conjur resources
"""
def __init__(self, type_:type, name:str):
self.type = type_
self.name = name
def full_id(self):
"""
Method for building the full resource ID in the format 'user:someuser' for example
"""
return f"{self.type}:{self.name}"
def __eq__(self, other):
"""
Method for comparing resources by their values and not by reference
"""
return self.type == other.type and self.name == other.name
def __repr__(self):
return f"'type': '{self.type}', 'name': '{self.name}'"
| 24.3 | 90 | 0.585734 | 91 | 729 | 4.527473 | 0.494505 | 0.097087 | 0.058252 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001898 | 0.277092 | 729 | 29 | 91 | 25.137931 | 0.779886 | 0.366255 | 0 | 0 | 0 | 0 | 0.170918 | 0.058673 | 0 | 0 | 0 | 0 | 0 | 1 | 0.4 | false | 0 | 0 | 0.1 | 0.8 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
7ed1e1c13fe9f63fc269a82e6ba0d76bf3493edb | 5,131 | py | Python | winregeditor.py | U-23/UinstallTool | d2066a583c15666e6f377ae63cc613b4c96663e2 | [
"MIT"
] | 1 | 2019-08-07T08:32:11.000Z | 2019-08-07T08:32:11.000Z | winregeditor.py | U-23/UinstallTool | d2066a583c15666e6f377ae63cc613b4c96663e2 | [
"MIT"
] | 3 | 2021-03-19T02:36:27.000Z | 2022-01-13T01:30:07.000Z | winregeditor.py | U-23/UinstallTool | d2066a583c15666e6f377ae63cc613b4c96663e2 | [
"MIT"
] | null | null | null | import winreg
import re
# 注册表操作
class winregeditor:
dicList = {}
def orderDict(self, numkey, DisplayName, DisplayIcon,UninstallString,KeyPath,InstallLocation):
self.dicList[numkey] = {'DisplayName': DisplayName, 'DisplayIcon': DisplayIcon,'UninstallString':UninstallString,'KeyPath':KeyPath,'InstallLocation':InstallLocation}
exeIcon = re.compile('.*DLL|.*exe',re.I)
match = exeIcon.match(DisplayIcon)
if match: #匹配到exe， 可直接打开
self.dicList[numkey]['exe'] = match.group()
#去除双引号
self.dicList[numkey]['exe'] = self.dicList[numkey]['exe'].replace("\"", "")
else: # 没有exe，Icon可为ico 文件
self.dicList[numkey]['icon'] =DisplayIcon
return self.dicList
def getwinreg(self):
software_name = list()
result = {}
try:
# 定义检测位置
sub_key = [r'SOFTWARE\Microsoft\Windows\CurrentVersion\Uninstall',
r'SOFTWARE\Wow6432Node\Microsoft\Windows\CurrentVersion\Uninstall']
q=0
for i in sub_key:
key = winreg.OpenKey(winreg.HKEY_LOCAL_MACHINE, i, 0, winreg.KEY_ALL_ACCESS)
h = winreg.QueryInfoKey(key)[0]
for j in range(0, winreg.QueryInfoKey(key)[0] - 1):
DisplayName = ''
DisplayIcon = ''
UninstallString = ''
InstallLocation = ''
try:
key_name = winreg.EnumKey(key, j)
key_path = i + '\\' + key_name
KeyPath = 'HKEY_LOCAL_MACHINE\\'+key_path
each_key = winreg.OpenKey(winreg.HKEY_LOCAL_MACHINE, key_path, 0, winreg.KEY_ALL_ACCESS)
DisplayName, REG_SZ = winreg.QueryValueEx(each_key, 'DisplayName')
DisplayName = DisplayName.encode('utf-8')
try:
DisplayIcon, REG_SZ = winreg.QueryValueEx(each_key, "DisplayIcon")
DisplayIcon = DisplayIcon.encode('utf-8')
UninstallString,REG_SZ = winreg.QueryValueEx(each_key, "UninstallString")
UninstallString = UninstallString.encode('utf-8')
InstallLocation,REG_SZ = winreg.QueryValueEx(each_key, "InstallLocation")
InstallLocation = InstallLocation.encode('utf-8')
except WindowsError:
pass
# 注册表中同时满足DisplayName 和 DisplayIcon
if DisplayName and DisplayIcon :
software_name.append(str(DisplayName,encoding='utf-8'))
result = self.orderDict(str(q+j), str(DisplayName,encoding='utf-8'),str(DisplayIcon,encoding='utf-8'),UninstallString,KeyPath,InstallLocation)
except WindowsError:
pass
#获取到总得数目
k=q+h
#将获取到的值重新赋值
q = h
except IOError:
pass
else:
# 定义检测位置
i = r'SOFTWARE\Microsoft\Windows\CurrentVersion\Uninstall'
key = winreg.OpenKey(winreg.HKEY_CURRENT_USER, i, 0, winreg.KEY_ALL_ACCESS)
for j in range(0, winreg.QueryInfoKey(key)[0] - 1):
DisplayName = ''
DisplayIcon = ''
UninstallString = ''
InstallLocation = ''
try:
key_name = winreg.EnumKey(key, j)
key_path = i + '\\' + key_name
KeyPath = 'HKEY_CURRENT_USER\\'+key_path
each_key = winreg.OpenKey(winreg.HKEY_CURRENT_USER, key_path, 0, winreg.KEY_ALL_ACCESS)
DisplayName, REG_SZ = winreg.QueryValueEx(each_key, 'DisplayName')
DisplayName = DisplayName.encode('utf-8')
try:
DisplayIcon, REG_SZ = winreg.QueryValueEx(each_key, "DisplayIcon")
DisplayIcon = DisplayIcon.encode('utf-8')
UninstallString,REG_SZ = winreg.QueryValueEx(each_key, "UninstallString")
UninstallString = UninstallString.encode('utf-8')
InstallLocation,REG_SZ = winreg.QueryValueEx(each_key, "InstallLocation")
InstallLocation = InstallLocation.encode('utf-8')
except WindowsError:
pass
# 注册表中同时满足DisplayName 和 DisplayIcon
if DisplayName and DisplayIcon:
software_name.append(str(DisplayName,encoding='utf-8'))
result = self.orderDict(str(q+j), str(DisplayName,encoding='utf-8'),str(DisplayIcon,encoding='utf-8'),UninstallString,KeyPath,InstallLocation)
except WindowsError:
pass
software_name = list(set(software_name))
software_name = sorted(software_name)
return software_name,result | 50.80198 | 173 | 0.536348 | 449 | 5,131 | 6 | 0.200445 | 0.020787 | 0.032665 | 0.0683 | 0.713808 | 0.705271 | 0.654788 | 0.618411 | 0.590943 | 0.590943 | 0 | 0.009259 | 0.368544 | 5,131 | 101 | 174 | 50.80198 | 0.822222 | 0.02748 | 0 | 0.604651 | 0 | 0.011628 | 0.093976 | 0.033133 | 0 | 0 | 0 | 0 | 0 | 1 | 0.023256 | false | 0.05814 | 0.023256 | 0 | 0.093023 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
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