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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0499b16f0be9eca146bbacbe9fd290e5df88778d
| 7,658
|
py
|
Python
|
tests/sdk/test_service.py
|
testruction/databricks-cli
|
4e74b10ed3e3f017f1444fc1b7842c5b25f1fe7c
|
[
"Apache-2.0"
] | 252
|
2017-06-03T06:08:02.000Z
|
2022-03-24T16:43:02.000Z
|
tests/sdk/test_service.py
|
testruction/databricks-cli
|
4e74b10ed3e3f017f1444fc1b7842c5b25f1fe7c
|
[
"Apache-2.0"
] | 310
|
2017-06-28T06:00:07.000Z
|
2022-03-31T15:23:07.000Z
|
tests/sdk/test_service.py
|
testruction/databricks-cli
|
4e74b10ed3e3f017f1444fc1b7842c5b25f1fe7c
|
[
"Apache-2.0"
] | 192
|
2017-07-31T01:00:43.000Z
|
2022-03-13T19:19:21.000Z
|
# Databricks CLI
# Copyright 2017 Databricks, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"), except
# that the use of services to which certain application programming
# interfaces (each, an "API") connect requires that the user first obtain
# a license for the use of the APIs from Databricks, Inc. ("Databricks"),
# by creating an account at www.databricks.com and agreeing to either (a)
# the Community Edition Terms of Service, (b) the Databricks Terms of
# Service, or (c) another written agreement between Licensee and Databricks
# for the use of the APIs.
#
# You may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import pytest
import mock
from databricks_cli.sdk.service import JobsService
from tests.utils import provide_conf
@pytest.fixture()
def jobs_service():
with mock.patch('databricks_cli.sdk.ApiClient') as api_client:
yield JobsService(api_client)
@provide_conf
def test_delete_job(jobs_service):
jobs_service.delete_job(None)
jobs_service.client.perform_query.assert_called_with('POST', '/jobs/delete', data={}, headers=None, version=None)
jobs_service.delete_job(1)
jobs_service.client.perform_query.assert_called_with('POST', '/jobs/delete', data={'job_id': 1}, headers=None, version=None)
jobs_service.delete_job(1, version='2.1')
jobs_service.client.perform_query.assert_called_with('POST', '/jobs/delete', data={'job_id': 1}, headers=None, version='2.1')
@provide_conf
def test_get_job(jobs_service):
jobs_service.get_job(None)
jobs_service.client.perform_query.assert_called_with('GET', '/jobs/get', data={}, headers=None, version=None)
jobs_service.get_job(1)
jobs_service.client.perform_query.assert_called_with('GET', '/jobs/get', data={'job_id': 1}, headers=None, version=None)
jobs_service.get_job(1, version='2.1')
jobs_service.client.perform_query.assert_called_with('GET', '/jobs/get', data={'job_id': 1}, headers=None, version='2.1')
@provide_conf
def test_list_jobs(jobs_service):
jobs_service.list_jobs()
jobs_service.client.perform_query.assert_called_with('GET', '/jobs/list', data={}, headers=None, version=None)
jobs_service.list_jobs(offset=1, limit=1)
jobs_service.client.perform_query.assert_called_with('GET', '/jobs/list', data={'offset': 1, 'limit': 1}, headers=None, version=None)
jobs_service.list_jobs(expand_tasks=True, version='2.1')
jobs_service.client.perform_query.assert_called_with('GET', '/jobs/list', data={'expand_tasks': True}, headers=None, version='2.1')
@provide_conf
def test_get_run_output(jobs_service):
jobs_service.get_run_output(None)
jobs_service.client.perform_query.assert_called_with('GET', '/jobs/runs/get-output', data={}, headers=None, version=None)
jobs_service.get_run_output(1)
jobs_service.client.perform_query.assert_called_with('GET', '/jobs/runs/get-output', data={'run_id': 1}, headers=None, version=None)
jobs_service.get_run_output(1, version='2.1')
jobs_service.client.perform_query.assert_called_with('GET', '/jobs/runs/get-output', data={'run_id': 1}, headers=None, version='2.1')
@provide_conf
def test_get_run(jobs_service):
jobs_service.get_run(None)
jobs_service.client.perform_query.assert_called_with('GET', '/jobs/runs/get', data={}, headers=None, version=None)
jobs_service.get_run(1)
jobs_service.client.perform_query.assert_called_with('GET', '/jobs/runs/get', data={'run_id': 1}, headers=None, version=None)
jobs_service.get_run(1, version='2.1')
jobs_service.client.perform_query.assert_called_with('GET', '/jobs/runs/get', data={'run_id': 1}, headers=None, version='2.1')
@provide_conf
def test_delete_run(jobs_service):
jobs_service.delete_run(None)
jobs_service.client.perform_query.assert_called_with('POST', '/jobs/runs/delete', data={}, headers=None, version=None)
jobs_service.delete_run(1)
jobs_service.client.perform_query.assert_called_with('POST', '/jobs/runs/delete', data={'run_id': 1}, headers=None, version=None)
jobs_service.delete_run(1, version='2.1')
jobs_service.client.perform_query.assert_called_with('POST', '/jobs/runs/delete', data={'run_id': 1}, headers=None, version='2.1')
@provide_conf
def test_cancel_run(jobs_service):
jobs_service.cancel_run(None)
jobs_service.client.perform_query.assert_called_with('POST', '/jobs/runs/cancel', data={}, headers=None, version=None)
jobs_service.cancel_run(1)
jobs_service.client.perform_query.assert_called_with('POST', '/jobs/runs/cancel', data={'run_id': 1}, headers=None, version=None)
jobs_service.cancel_run(1, version='2.1')
jobs_service.client.perform_query.assert_called_with('POST', '/jobs/runs/cancel', data={'run_id': 1}, headers=None, version='2.1')
@provide_conf
def test_create_job(jobs_service):
jobs_service.create_job(None)
jobs_service.client.perform_query.assert_called_with('POST', '/jobs/create', data={}, headers=None, version=None)
tasks = {'task_key': '123', 'notebook_task': {'notebook_path': '/test'}}
jobs_service.create_job(tasks=tasks)
jobs_service.client.perform_query.assert_called_with('POST', '/jobs/create', data={'tasks': tasks}, headers=None, version=None)
tasks = {'task_key': '123', 'notebook_task': {'notebook_path': '/test'}}
jobs_service.create_job(tasks=tasks, version='2.1')
jobs_service.client.perform_query.assert_called_with('POST', '/jobs/create', data={'tasks': tasks}, headers=None, version='2.1')
@provide_conf
def test_create_job_invalid_types(jobs_service):
with pytest.raises(TypeError, match='new_cluster'):
jobs_service.create_job(new_cluster=[])
with pytest.raises(TypeError, match='email_notifications'):
jobs_service.create_job(email_notifications=[])
with pytest.raises(TypeError, match='schedule'):
jobs_service.create_job(schedule=[])
with pytest.raises(TypeError, match='notebook_task'):
jobs_service.create_job(notebook_task=[])
with pytest.raises(TypeError, match='spark_jar_task'):
jobs_service.create_job(spark_jar_task=[])
with pytest.raises(TypeError, match='spark_python_task'):
jobs_service.create_job(spark_python_task=[])
with pytest.raises(TypeError, match='spark_submit_task'):
jobs_service.create_job(spark_submit_task=[])
@provide_conf
def test_submit_run_invalid_types(jobs_service):
with pytest.raises(TypeError, match='new_cluster'):
jobs_service.submit_run(new_cluster=[])
with pytest.raises(TypeError, match='email_notifications'):
jobs_service.submit_run(email_notifications=[])
with pytest.raises(TypeError, match='schedule'):
jobs_service.submit_run(schedule=[])
with pytest.raises(TypeError, match='notebook_task'):
jobs_service.submit_run(notebook_task=[])
with pytest.raises(TypeError, match='spark_jar_task'):
jobs_service.submit_run(spark_jar_task=[])
with pytest.raises(TypeError, match='spark_python_task'):
jobs_service.submit_run(spark_python_task=[])
with pytest.raises(TypeError, match='spark_submit_task'):
jobs_service.submit_run(spark_submit_task=[])
| 42.782123
| 137
| 0.735832
| 1,102
| 7,658
| 4.857532
| 0.139746
| 0.150009
| 0.076219
| 0.107603
| 0.776761
| 0.74108
| 0.712498
| 0.712311
| 0.696992
| 0.657762
| 0
| 0.01106
| 0.126273
| 7,658
| 178
| 138
| 43.022472
| 0.78897
| 0.133586
| 0
| 0.245283
| 0
| 0
| 0.133545
| 0.013763
| 0
| 0
| 0
| 0
| 0.226415
| 1
| 0.103774
| false
| 0
| 0.037736
| 0
| 0.141509
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
04d7c3bbf541a3b5662eb9c5fd3b0b976c4a2592
| 223
|
py
|
Python
|
portalsite/portal/models/__init__.py
|
AntonSamojlow/authenticity-portal
|
d3a38096c9c6aaf688ed9783464396be3ebbe673
|
[
"MIT"
] | null | null | null |
portalsite/portal/models/__init__.py
|
AntonSamojlow/authenticity-portal
|
d3a38096c9c6aaf688ed9783464396be3ebbe673
|
[
"MIT"
] | 2
|
2021-11-06T14:31:24.000Z
|
2021-11-06T17:10:58.000Z
|
portalsite/portal/models/__init__.py
|
AntonSamojlow/authenticity-portal
|
d3a38096c9c6aaf688ed9783464396be3ebbe673
|
[
"MIT"
] | null | null | null |
"""
Contains all DJANGO database models
"""
from .group import Group
from .measurement import Measurement
from .model import Model
from .scoring import Scoring
from .source import Source
from .prediction import Prediction
| 20.272727
| 36
| 0.802691
| 29
| 223
| 6.172414
| 0.448276
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.143498
| 223
| 10
| 37
| 22.3
| 0.937173
| 0.156951
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 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
| 1
| 0
| 1
| 0
|
0
| 4
|
04efd151e0421dd0409bb456bc7efac18722cb8f
| 223
|
py
|
Python
|
Part_1_beginner/19_Functions/Functions_solutions/exercise_1.py
|
Mikma03/InfoShareacademy_Python_Courses
|
3df1008c8c92831bebf1625f960f25b39d6987e6
|
[
"MIT"
] | null | null | null |
Part_1_beginner/19_Functions/Functions_solutions/exercise_1.py
|
Mikma03/InfoShareacademy_Python_Courses
|
3df1008c8c92831bebf1625f960f25b39d6987e6
|
[
"MIT"
] | null | null | null |
Part_1_beginner/19_Functions/Functions_solutions/exercise_1.py
|
Mikma03/InfoShareacademy_Python_Courses
|
3df1008c8c92831bebf1625f960f25b39d6987e6
|
[
"MIT"
] | null | null | null |
# Napisz funkcję, która obliczy pole powierzchni prostokąta na podstawie długości jego boków.
def rectangle_area(long, width):
return long * width
print(f"Pole prostokąta o bokach 5 i 18 to {rectangle_area(5, 18)}")
| 27.875
| 93
| 0.757848
| 34
| 223
| 4.911765
| 0.764706
| 0.155689
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.032258
| 0.165919
| 223
| 7
| 94
| 31.857143
| 0.865591
| 0.408072
| 0
| 0
| 0
| 0
| 0.453125
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0.333333
| 0.666667
| 0.333333
| 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
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
04fd4676538e82ed9f2dde8f06cd24561b680e6c
| 366
|
py
|
Python
|
dummy_object.py
|
Robinson04/inoft_vocal_framework
|
9659e0852604bc628b01e0440535add0ae5fc5d1
|
[
"MIT"
] | 11
|
2020-04-15T07:47:34.000Z
|
2022-03-30T21:47:36.000Z
|
dummy_object.py
|
Robinson04/inoft_vocal_framework
|
9659e0852604bc628b01e0440535add0ae5fc5d1
|
[
"MIT"
] | 20
|
2020-08-09T00:11:49.000Z
|
2021-09-11T11:34:02.000Z
|
dummy_object.py
|
Robinson04/inoft_vocal_framework
|
9659e0852604bc628b01e0440535add0ae5fc5d1
|
[
"MIT"
] | 6
|
2020-02-21T04:45:19.000Z
|
2021-07-18T22:13:55.000Z
|
class DummyObject:
# When we try to access any attribute of the
# dummy object, it will return himself.
def __getattr__(self, item):
return self
# And if dummy object is called, nothing is being done,
# and error created if the function did not exist.
def __call__(self, *args, **kwargs):
pass
dummy_object = DummyObject()
| 26.142857
| 59
| 0.669399
| 51
| 366
| 4.627451
| 0.745098
| 0.139831
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.262295
| 366
| 13
| 60
| 28.153846
| 0.874074
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0.166667
| 0
| 0.166667
| 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
| 1
| 0
| 1
| 0
| 1
| 1
| 0
|
0
| 4
|
b6c736fbfedc24af0ee9152e5a0c8a823dacde1a
| 86
|
py
|
Python
|
gitgud/skills/custom/__init__.py
|
sahansk2/git-gud
|
882b704d9e6274ebfe73a3f402de18e4826efb00
|
[
"MIT"
] | null | null | null |
gitgud/skills/custom/__init__.py
|
sahansk2/git-gud
|
882b704d9e6274ebfe73a3f402de18e4826efb00
|
[
"MIT"
] | 1
|
2021-05-07T01:27:28.000Z
|
2021-05-07T01:27:28.000Z
|
gitgud/skills/custom/__init__.py
|
sahansk2/git-gud
|
882b704d9e6274ebfe73a3f402de18e4826efb00
|
[
"MIT"
] | null | null | null |
"""
Module containing levels packaged with Git Gud requiring unique functionality.
"""
| 28.666667
| 78
| 0.790698
| 10
| 86
| 6.8
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.127907
| 86
| 3
| 79
| 28.666667
| 0.906667
| 0.906977
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
b6fa7e1a595fba34471351b4abd695dbaf00c7ba
| 405
|
py
|
Python
|
Lib/site-packages/pylint_django/tests/input/func_model_does_not_use_unicode_py33.py
|
cristian-12/ProyectoDjango
|
bf1d1c6ca7f8a50bcbfbfe556d3d81dbdb5533d4
|
[
"bzip2-1.0.6"
] | 1
|
2020-11-25T17:14:45.000Z
|
2020-11-25T17:14:45.000Z
|
Lib/site-packages/pylint_django/tests/input/func_model_does_not_use_unicode_py33.py
|
cristian-12/ProyectoDjango
|
bf1d1c6ca7f8a50bcbfbfe556d3d81dbdb5533d4
|
[
"bzip2-1.0.6"
] | 7
|
2020-06-05T18:16:38.000Z
|
2022-03-11T23:20:31.000Z
|
env/lib/python3.9/site-packages/pylint_django/tests/input/func_model_does_not_use_unicode_py33.py
|
simotwo/AbileneParadox-ddd
|
c85961efb37aba43c0d99ed1c36d083507e2b2d3
|
[
"MIT"
] | 7
|
2021-04-26T15:52:19.000Z
|
2021-05-04T02:18:56.000Z
|
"""
Ensures that under PY3 django models with a __unicode__ method are flagged
"""
# pylint: disable=missing-docstring
from django.db import models
class SomeModel(models.Model): # [model-has-unicode]
something = models.CharField(max_length=255)
# no __str__ method
something.something_else = 1
def lala(self):
pass
def __unicode__(self):
return self.something
| 20.25
| 74
| 0.701235
| 51
| 405
| 5.294118
| 0.72549
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.015674
| 0.212346
| 405
| 19
| 75
| 21.315789
| 0.830721
| 0.365432
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0.125
| 0.125
| 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
| 1
| 0
| 1
| 1
| 0
|
0
| 4
|
b6fed9d0a84abf21b6bf43e723e9909d51d73bf4
| 640
|
py
|
Python
|
py_css_styleguide/exceptions.py
|
sveetch/py-css-styleguide
|
27aed5cf7e992e4a8e8d0f997c29af8063419657
|
[
"MIT"
] | null | null | null |
py_css_styleguide/exceptions.py
|
sveetch/py-css-styleguide
|
27aed5cf7e992e4a8e8d0f997c29af8063419657
|
[
"MIT"
] | 17
|
2018-04-14T15:10:29.000Z
|
2022-03-26T17:59:18.000Z
|
py_css_styleguide/exceptions.py
|
sveetch/py-css-styleguide
|
27aed5cf7e992e4a8e8d0f997c29af8063419657
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
"""
Exceptions
==========
Specific application exceptions.
"""
class PyCssStyleguideException(Exception):
"""
Exception base.
You should never use it directly except for test purpose. Instead make or
use a dedicated exception related to the error context.
"""
pass
class SerializerError(PyCssStyleguideException):
"""
Exception to raise when there is a syntax issue during serialization.
"""
pass
class StyleguideValidationError(PyCssStyleguideException):
"""
Exception to raise when there is invalid naming in reference rules and properties.
"""
pass
| 20
| 86
| 0.692188
| 67
| 640
| 6.61194
| 0.716418
| 0.223476
| 0.158014
| 0.180587
| 0.230248
| 0.230248
| 0.230248
| 0
| 0
| 0
| 0
| 0.001996
| 0.217188
| 640
| 31
| 87
| 20.645161
| 0.882236
| 0.590625
| 0
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.5
| 0
| 0
| 0.5
| 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
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
8e1c1ec73c77a5bbb37379bd5170cdd7eecc2fab
| 151
|
py
|
Python
|
icbd/type_analyzer/tests/import_test/__init__.py
|
kmod/icbd
|
9636564eb3993afa07c6220d589bbd1991923d74
|
[
"MIT"
] | 7
|
2015-04-06T15:17:13.000Z
|
2020-10-21T04:57:00.000Z
|
icbd/type_analyzer/tests/import_test/__init__.py
|
kmod/icbd
|
9636564eb3993afa07c6220d589bbd1991923d74
|
[
"MIT"
] | null | null | null |
icbd/type_analyzer/tests/import_test/__init__.py
|
kmod/icbd
|
9636564eb3993afa07c6220d589bbd1991923d74
|
[
"MIT"
] | 4
|
2016-05-16T17:53:08.000Z
|
2020-11-28T17:18:50.000Z
|
from . import b
import c
from .b import x
from b import y
from .c import x
from c import y
dup = 1
not_m = "not_m"
__all__ = ['b', 'dup', 'not_m']
| 10.785714
| 31
| 0.635762
| 32
| 151
| 2.78125
| 0.34375
| 0.235955
| 0.247191
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.008772
| 0.245033
| 151
| 13
| 32
| 11.615385
| 0.77193
| 0
| 0
| 0
| 0
| 0
| 0.092715
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0
| 0
| 0
| 0
| null | 1
| 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
| 1
| 0
|
0
| 4
|
8e1d2cc5ac7e723a2ea8024a77c16d380465c6f1
| 99
|
py
|
Python
|
test/test_files/test_dynamic/test_dynamic_import_alias.py
|
SoftwareUnderstanding/inspect4py
|
9c4d7252535082ad938b26baf281d93f3a27285e
|
[
"BSD-3-Clause"
] | 2
|
2022-02-15T20:30:57.000Z
|
2022-03-17T00:50:37.000Z
|
test/test_files/test_dynamic/test_dynamic_import_alias.py
|
SoftwareUnderstanding/code_inspector
|
a820b5a7bb18f5df9c3e79346108d8280b20c39a
|
[
"BSD-3-Clause"
] | 101
|
2021-06-09T14:19:59.000Z
|
2022-01-24T13:24:39.000Z
|
test/test_files/test_dynamic/test_dynamic_import_alias.py
|
SoftwareUnderstanding/inspect4py
|
9c4d7252535082ad938b26baf281d93f3a27285e
|
[
"BSD-3-Clause"
] | 1
|
2021-09-22T06:59:32.000Z
|
2021-09-22T06:59:32.000Z
|
import test_dynamic_func as td
def func_3(func):
return func()
a=func_3(td.func_1)
print(a)
| 11
| 30
| 0.717172
| 20
| 99
| 3.3
| 0.6
| 0.151515
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.036585
| 0.171717
| 99
| 8
| 31
| 12.375
| 0.768293
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.2
| 0.2
| 0.6
| 0.2
| 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
| 1
| 1
| 0
|
0
| 4
|
8e30b4c05be4ff74d36bf391862224e22ffe1deb
| 242
|
py
|
Python
|
djangolive/core/models.py
|
Tomvictor/djangolive
|
fbb482395e4b9be5b947480047868870bb77f344
|
[
"MIT"
] | 1
|
2021-04-06T17:53:06.000Z
|
2021-04-06T17:53:06.000Z
|
djangolive/core/models.py
|
Tomvictor/djangolive
|
fbb482395e4b9be5b947480047868870bb77f344
|
[
"MIT"
] | 6
|
2021-04-16T16:06:55.000Z
|
2021-04-24T07:13:07.000Z
|
djangolive/core/models.py
|
Tomvictor/djangolive
|
fbb482395e4b9be5b947480047868870bb77f344
|
[
"MIT"
] | null | null | null |
from django.db import models
# Create your models here.
class CoreModel(models.Model):
timestamp = models.DateTimeField(auto_now_add=True)
last_updated = models.DateTimeField(auto_now=True)
class Meta:
abstract = True
| 20.166667
| 55
| 0.731405
| 31
| 242
| 5.580645
| 0.677419
| 0.219653
| 0.265896
| 0.300578
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.190083
| 242
| 11
| 56
| 22
| 0.882653
| 0.099174
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.166667
| 0
| 0.833333
| 0
| 0
| 0
| 0
| null | 1
| 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
| 1
| 0
|
0
| 4
|
8e3bcf7c63f15630dcb3ccc4d2fec40cfda81b3e
| 122
|
py
|
Python
|
mypythonpackage/__init__.py
|
pypyr/pypyr-example
|
1fb9379628da8c120d40d9aea0e71cdc2434f08a
|
[
"Apache-2.0"
] | 13
|
2017-04-09T21:29:05.000Z
|
2022-02-10T18:39:47.000Z
|
mypythonpackage/__init__.py
|
pypyr/pypyr-example
|
1fb9379628da8c120d40d9aea0e71cdc2434f08a
|
[
"Apache-2.0"
] | 1
|
2019-01-02T23:01:50.000Z
|
2019-01-02T23:01:50.000Z
|
mypythonpackage/__init__.py
|
pypyr/pypyr-example
|
1fb9379628da8c120d40d9aea0e71cdc2434f08a
|
[
"Apache-2.0"
] | null | null | null |
"""init py module tells python this folder contains a package.
You don't particularly need this file for python 3.6.
"""
| 24.4
| 62
| 0.745902
| 21
| 122
| 4.333333
| 0.904762
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.019802
| 0.172131
| 122
| 4
| 63
| 30.5
| 0.881188
| 0.934426
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
6d2b35fe36eef1f9bbdc595b24f63012ef94578d
| 132
|
py
|
Python
|
scripts/portal/market13.py
|
Snewmy/swordie
|
ae01ed4ec0eb20a18730e8cd209eea0b84a8dd17
|
[
"MIT"
] | 9
|
2021-04-26T11:59:29.000Z
|
2021-12-20T13:15:27.000Z
|
scripts/portal/market13.py
|
Snewmy/swordie
|
ae01ed4ec0eb20a18730e8cd209eea0b84a8dd17
|
[
"MIT"
] | null | null | null |
scripts/portal/market13.py
|
Snewmy/swordie
|
ae01ed4ec0eb20a18730e8cd209eea0b84a8dd17
|
[
"MIT"
] | 6
|
2021-07-14T06:32:05.000Z
|
2022-02-06T02:32:56.000Z
|
# Magatia (261000000) / NLC Town Center (600000000) => Free Market
sm.setReturnField()
sm.setReturnPortal()
sm.warp(910000000, 36)
| 26.4
| 67
| 0.742424
| 16
| 132
| 6.125
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.25
| 0.121212
| 132
| 4
| 68
| 33
| 0.594828
| 0.492424
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
6d308564e55a194fe56c9329c76cdfcd63c0f2a1
| 23
|
py
|
Python
|
nixpkgs_review/tests/__init__.py
|
slekwati/nixpkgs-review
|
fb6143435e91756f7447c34653d96de4c7c1be21
|
[
"MIT"
] | null | null | null |
nixpkgs_review/tests/__init__.py
|
slekwati/nixpkgs-review
|
fb6143435e91756f7447c34653d96de4c7c1be21
|
[
"MIT"
] | null | null | null |
nixpkgs_review/tests/__init__.py
|
slekwati/nixpkgs-review
|
fb6143435e91756f7447c34653d96de4c7c1be21
|
[
"MIT"
] | null | null | null |
"""
The test suite
"""
| 5.75
| 14
| 0.521739
| 3
| 23
| 4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.217391
| 23
| 3
| 15
| 7.666667
| 0.666667
| 0.608696
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 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
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
edba87910b8621d3935c2e7f2ea1d5bbc15641fc
| 321
|
py
|
Python
|
translator/auth.py
|
gsi-upm/eurosentiment-translator
|
565a70daafba9fc626589bb9a665f1d30890450a
|
[
"Apache-2.0"
] | 1
|
2020-06-04T02:19:51.000Z
|
2020-06-04T02:19:51.000Z
|
translator/auth.py
|
gsi-upm/eurosentiment-translator
|
565a70daafba9fc626589bb9a665f1d30890450a
|
[
"Apache-2.0"
] | 2
|
2021-03-22T17:14:34.000Z
|
2021-12-13T19:41:01.000Z
|
docon/auth.py
|
gsi-upm/docon
|
ca1ddd4731f46ad3194bf8ec85e433a7bc4f3b44
|
[
"Apache-2.0"
] | null | null | null |
import os
from flask.ext import login
from .models import User
# Initialize flask-login
def init_login(app):
login_manager = login.LoginManager()
login_manager.init_app(app)
# Create user loader function
@login_manager.user_loader
def load_user(user_id):
return User.objects.get(pk=user_id)
| 22.928571
| 43
| 0.738318
| 47
| 321
| 4.851064
| 0.489362
| 0.157895
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.183801
| 321
| 13
| 44
| 24.692308
| 0.870229
| 0.155763
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.222222
| false
| 0
| 0.333333
| 0.111111
| 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
| 1
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 4
|
ede206e6bbefde0cc54f3f3ec37a072fb6b86856
| 134
|
py
|
Python
|
python-modules/twisted/twisted/application/test/__init__.py
|
stormtheh4ck3r/python-for-android
|
b9ea9161392f60566b81482b1e25cd77004d5c45
|
[
"Apache-2.0"
] | 267
|
2015-03-22T15:23:48.000Z
|
2022-03-05T21:57:34.000Z
|
python-modules/twisted/twisted/application/test/__init__.py
|
stormtheh4ck3r/python-for-android
|
b9ea9161392f60566b81482b1e25cd77004d5c45
|
[
"Apache-2.0"
] | 133
|
2015-03-21T15:13:43.000Z
|
2021-12-11T23:37:58.000Z
|
python-modules/twisted/twisted/application/test/__init__.py
|
stormtheh4ck3r/python-for-android
|
b9ea9161392f60566b81482b1e25cd77004d5c45
|
[
"Apache-2.0"
] | 119
|
2015-04-28T16:07:10.000Z
|
2022-03-18T03:49:48.000Z
|
# Copyright (c) 2007-2010 Twisted Matrix Laboratories.
# See LICENSE for details.
"""
Tests for L{twisted.internet.application}.
"""
| 19.142857
| 54
| 0.731343
| 17
| 134
| 5.764706
| 0.882353
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.068966
| 0.134328
| 134
| 6
| 55
| 22.333333
| 0.775862
| 0.902985
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
ede83dabe0c021c5c4af4a0e48c4d259170384a0
| 66
|
py
|
Python
|
test/__init__.py
|
Lukeeeeee/FISDNN
|
49361770fe987337b16a296c00cfd6562a7e95ed
|
[
"MIT"
] | null | null | null |
test/__init__.py
|
Lukeeeeee/FISDNN
|
49361770fe987337b16a296c00cfd6562a7e95ed
|
[
"MIT"
] | null | null | null |
test/__init__.py
|
Lukeeeeee/FISDNN
|
49361770fe987337b16a296c00cfd6562a7e95ed
|
[
"MIT"
] | null | null | null |
import os
TEST_PATH = os.path.dirname(os.path.realpath(__file__))
| 22
| 55
| 0.787879
| 11
| 66
| 4.272727
| 0.636364
| 0.255319
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.075758
| 66
| 2
| 56
| 33
| 0.770492
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
edf1a276aafe7247da822e020faef8199efdd458
| 96
|
py
|
Python
|
frictionless/__main__.py
|
augusto-herrmann/frictionless-py
|
b4ff35f064141a2c04882edb592666ca6b066776
|
[
"MIT"
] | 247
|
2020-08-04T16:42:09.000Z
|
2022-03-30T11:54:54.000Z
|
frictionless/__main__.py
|
augusto-herrmann/frictionless-py
|
b4ff35f064141a2c04882edb592666ca6b066776
|
[
"MIT"
] | 444
|
2020-07-29T09:13:59.000Z
|
2022-03-31T14:54:57.000Z
|
frictionless/__main__.py
|
augusto-herrmann/frictionless-py
|
b4ff35f064141a2c04882edb592666ca6b066776
|
[
"MIT"
] | 60
|
2020-09-04T11:39:34.000Z
|
2022-03-23T18:59:51.000Z
|
from .program import program
if __name__ == "__main__":
program(prog_name="frictionless")
| 16
| 37
| 0.729167
| 11
| 96
| 5.545455
| 0.727273
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.15625
| 96
| 5
| 38
| 19.2
| 0.753086
| 0
| 0
| 0
| 0
| 0
| 0.208333
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 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
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
b615453e9a3ecd183c211dc425622124a7d7eb85
| 2,068
|
py
|
Python
|
tests/data/networks/G_C.py
|
uw-ipd/privileged_residues
|
78078c22ba537651a1b6bd1404c05246ab73a3e3
|
[
"Apache-2.0"
] | null | null | null |
tests/data/networks/G_C.py
|
uw-ipd/privileged_residues
|
78078c22ba537651a1b6bd1404c05246ab73a3e3
|
[
"Apache-2.0"
] | 20
|
2018-08-13T22:50:46.000Z
|
2018-11-03T22:29:03.000Z
|
tests/data/networks/G_C.py
|
uw-ipd/privileged_residues
|
78078c22ba537651a1b6bd1404c05246ab73a3e3
|
[
"Apache-2.0"
] | 1
|
2018-08-25T06:03:43.000Z
|
2018-08-25T06:03:43.000Z
|
from tests.util import pick_ray
from pyrosetta import Pose
from pyrosetta.rosetta.core.import_pose import pose_from_pdbstring
name = "G_C"
contents = """
HETNAM G__ A 1 G__
HETNAM C__ A 2 C__
HETATM 1 CV G__ A 1 11.103 -5.324 0.225 1.00 0.00 X
HETATM 2 NE G__ A 1 11.107 -3.872 0.139 1.00 0.00 N
HETATM 3 CZ G__ A 1 10.031 -3.121 -0.165 1.00 0.00 C
HETATM 4 NH1 G__ A 1 8.875 -3.697 -0.409 1.00 0.00 N
HETATM 5 NH2 G__ A 1 10.137 -1.811 -0.218 1.00 0.00 N
HETATM 6 HE G__ A 1 11.979 -3.393 0.320 1.00 0.00 H
HETATM 7 1HH1 G__ A 1 8.797 -4.706 -0.367 1.00 0.00 H
HETATM 8 2HH1 G__ A 1 8.068 -3.133 -0.637 1.00 0.00 H
HETATM 9 1HH2 G__ A 1 11.024 -1.368 -0.031 1.00 0.00 H
HETATM 10 2HH2 G__ A 1 9.330 -1.249 -0.446 1.00 0.00 H
HETATM 11 CV C__ A 2 9.842 -4.360 -4.397 1.00 0.00 X
HETATM 12 CD C__ A 2 8.947 -4.296 -3.191 1.00 0.00 C
HETATM 13 OE1 C__ A 2 8.358 -3.263 -2.964 1.00 0.00 O
HETATM 14 OE2 C__ A 2 8.851 -5.281 -2.494 1.00 0.00 O
TER
CONECT 1 2
CONECT 2 1 3 6
CONECT 3 2 4 5
CONECT 4 3 7 8
CONECT 5 3 9 10
CONECT 6 2
CONECT 7 4
CONECT 8 4
CONECT 9 5
CONECT 10 5
CONECT 11 12
CONECT 12 11 13 14
CONECT 13 12
CONECT 14 12
"""
pose = Pose()
pose_from_pdbstring(pose, contents)
sc_donor = {
1: [
pick_ray(pose.residue(1), "HE", "NE"),
pick_ray(pose.residue(1), "1HH1", "NH1"),
pick_ray(pose.residue(1), "2HH1", "NH1"),
pick_ray(pose.residue(1), "1HH2", "NH2"),
pick_ray(pose.residue(1), "2HH2", "NH2")
]
}
sc_acceptor = {
2: [
pick_ray(pose.residue(2), "OE1", "CD"),
pick_ray(pose.residue(2), "OE2", "CD")
]
}
| 33.901639
| 78
| 0.491779
| 387
| 2,068
| 2.49354
| 0.25323
| 0.043523
| 0.058031
| 0.087047
| 0.320207
| 0.207254
| 0
| 0
| 0
| 0
| 0
| 0.30832
| 0.407157
| 2,068
| 60
| 79
| 34.466667
| 0.478793
| 0
| 0
| 0
| 0
| 0.259259
| 0.723404
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.055556
| 0
| 0.055556
| 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
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
b61d4277ea096a6639f11fa5818b6d91b65fb58a
| 38
|
py
|
Python
|
tutorials/Strings/hello.py
|
sserperior/pythonstuff
|
6f80d005f3fdcf5047dd415beeb8b4603677d27d
|
[
"MIT"
] | null | null | null |
tutorials/Strings/hello.py
|
sserperior/pythonstuff
|
6f80d005f3fdcf5047dd415beeb8b4603677d27d
|
[
"MIT"
] | null | null | null |
tutorials/Strings/hello.py
|
sserperior/pythonstuff
|
6f80d005f3fdcf5047dd415beeb8b4603677d27d
|
[
"MIT"
] | null | null | null |
message = 'Hello World'
print(message)
| 19
| 23
| 0.763158
| 5
| 38
| 5.8
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.105263
| 38
| 2
| 24
| 19
| 0.852941
| 0
| 0
| 0
| 0
| 0
| 0.282051
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.5
| 1
| 1
| 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
| 1
|
0
| 4
|
b6730c9ecb019aecf7090fb721b4526478869061
| 112
|
py
|
Python
|
BCNF/__init__.py
|
jaantollander/BCNF
|
b3108733224f106af7070c360b2327b2022733e2
|
[
"MIT"
] | 1
|
2019-12-16T14:34:31.000Z
|
2019-12-16T14:34:31.000Z
|
BCNF/__init__.py
|
jaantollander/BCNF
|
b3108733224f106af7070c360b2327b2022733e2
|
[
"MIT"
] | null | null | null |
BCNF/__init__.py
|
jaantollander/BCNF
|
b3108733224f106af7070c360b2327b2022733e2
|
[
"MIT"
] | null | null | null |
__version__ = '0.1'
from ._version import get_versions
__version__ = get_versions()['version']
del get_versions
| 22.4
| 39
| 0.785714
| 15
| 112
| 5.066667
| 0.533333
| 0.434211
| 0.473684
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.02
| 0.107143
| 112
| 4
| 40
| 28
| 0.74
| 0
| 0
| 0
| 0
| 0
| 0.089286
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.25
| 0
| 0.25
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
b6938376271932dca4490496609a4a2ff7f2f732
| 62
|
py
|
Python
|
cotidia/stripe/forms/public.py
|
guillaumepiot/cotidia-stripe
|
f23329e8363c3d8577acf9633966d6af61c090eb
|
[
"BSD-3-Clause"
] | null | null | null |
cotidia/stripe/forms/public.py
|
guillaumepiot/cotidia-stripe
|
f23329e8363c3d8577acf9633966d6af61c090eb
|
[
"BSD-3-Clause"
] | null | null | null |
cotidia/stripe/forms/public.py
|
guillaumepiot/cotidia-stripe
|
f23329e8363c3d8577acf9633966d6af61c090eb
|
[
"BSD-3-Clause"
] | null | null | null |
from django import forms
class StripeCardForm(forms.Form):
| 10.333333
| 33
| 0.790323
| 8
| 62
| 6.125
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.145161
| 62
| 5
| 34
| 12.4
| 0.924528
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.5
| null | null | 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
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
fcd4688ffcaf459e95ba4b08b5439ef0d5dc9220
| 73
|
py
|
Python
|
firewood/models/semantic_segmentation/__init__.py
|
kynk94/torch-firewood
|
8ecd03c166bcadaae22a6cb2c1457a82f2c644eb
|
[
"MIT"
] | 1
|
2022-03-26T12:51:27.000Z
|
2022-03-26T12:51:27.000Z
|
firewood/models/semantic_segmentation/__init__.py
|
kynk94/torch-firewood
|
8ecd03c166bcadaae22a6cb2c1457a82f2c644eb
|
[
"MIT"
] | null | null | null |
firewood/models/semantic_segmentation/__init__.py
|
kynk94/torch-firewood
|
8ecd03c166bcadaae22a6cb2c1457a82f2c644eb
|
[
"MIT"
] | null | null | null |
from . import BiSeNetV1, BiSeNetV2
__all__ = ["BiSeNetV1", "BiSeNetV2"]
| 18.25
| 36
| 0.726027
| 7
| 73
| 7
| 0.714286
| 0.734694
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.063492
| 0.136986
| 73
| 3
| 37
| 24.333333
| 0.714286
| 0
| 0
| 0
| 0
| 0
| 0.246575
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
1e33bf1c8952e6bb22b466f115b75ed5bf39ccfe
| 143
|
py
|
Python
|
pyleecan/Methods/Elmer/Section/__reversed__.py
|
IrakozeFD/pyleecan
|
5a93bd98755d880176c1ce8ac90f36ca1b907055
|
[
"Apache-2.0"
] | 95
|
2019-01-23T04:19:45.000Z
|
2022-03-17T18:22:10.000Z
|
pyleecan/Methods/Elmer/Section/__reversed__.py
|
IrakozeFD/pyleecan
|
5a93bd98755d880176c1ce8ac90f36ca1b907055
|
[
"Apache-2.0"
] | 366
|
2019-02-20T07:15:08.000Z
|
2022-03-31T13:37:23.000Z
|
pyleecan/Methods/Elmer/Section/__reversed__.py
|
IrakozeFD/pyleecan
|
5a93bd98755d880176c1ce8ac90f36ca1b907055
|
[
"Apache-2.0"
] | 74
|
2019-01-24T01:47:31.000Z
|
2022-02-25T05:44:42.000Z
|
# -*- coding: utf-8 -*-
def __reversed__(self):
"""Built-in to implement reverse iteration"""
return self._statements.__reversed__()
| 20.428571
| 49
| 0.671329
| 16
| 143
| 5.4375
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.008403
| 0.167832
| 143
| 6
| 50
| 23.833333
| 0.722689
| 0.433566
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
1e389155b9cecbaeb6c3f713bc4e9bfeef240eed
| 118
|
py
|
Python
|
Actividad6/main.py
|
Donluigimx/SeminarioSO
|
5042ef79580b817644d1acaf39e99df22c37bd24
|
[
"MIT"
] | null | null | null |
Actividad6/main.py
|
Donluigimx/SeminarioSO
|
5042ef79580b817644d1acaf39e99df22c37bd24
|
[
"MIT"
] | null | null | null |
Actividad6/main.py
|
Donluigimx/SeminarioSO
|
5042ef79580b817644d1acaf39e99df22c37bd24
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python3
from .pro_con import ProductorConsumidor
if __name__ == '__main__':
ProductorConsumidor()
| 19.666667
| 40
| 0.754237
| 13
| 118
| 6.153846
| 0.923077
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.009804
| 0.135593
| 118
| 5
| 41
| 23.6
| 0.77451
| 0.177966
| 0
| 0
| 0
| 0
| 0.083333
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 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
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
1e8e008471c3aa653c0cf3154ce9ecc93646c7c5
| 71
|
py
|
Python
|
modulo 3/exercicios/hello world.py
|
GabrielBrotas/Python
|
9441b6b86ff3cb7fa5921b508c484075adac08b3
|
[
"MIT"
] | null | null | null |
modulo 3/exercicios/hello world.py
|
GabrielBrotas/Python
|
9441b6b86ff3cb7fa5921b508c484075adac08b3
|
[
"MIT"
] | null | null | null |
modulo 3/exercicios/hello world.py
|
GabrielBrotas/Python
|
9441b6b86ff3cb7fa5921b508c484075adac08b3
|
[
"MIT"
] | null | null | null |
import pyautogui as pag
pag.typewrite('Hello World', interval=0.25)
| 11.833333
| 43
| 0.746479
| 11
| 71
| 4.818182
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.04918
| 0.140845
| 71
| 5
| 44
| 14.2
| 0.819672
| 0
| 0
| 0
| 0
| 0
| 0.15942
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
1ea4c26d2d87e3f2f6fcce6b2e1d63eb51a45b1a
| 138
|
py
|
Python
|
modules/2.79/bpy/types/CyclesCurveSettings.py
|
cmbasnett/fake-bpy-module
|
acb8b0f102751a9563e5b5e5c7cd69a4e8aa2a55
|
[
"MIT"
] | null | null | null |
modules/2.79/bpy/types/CyclesCurveSettings.py
|
cmbasnett/fake-bpy-module
|
acb8b0f102751a9563e5b5e5c7cd69a4e8aa2a55
|
[
"MIT"
] | null | null | null |
modules/2.79/bpy/types/CyclesCurveSettings.py
|
cmbasnett/fake-bpy-module
|
acb8b0f102751a9563e5b5e5c7cd69a4e8aa2a55
|
[
"MIT"
] | null | null | null |
class CyclesCurveSettings:
radius_scale = None
root_width = None
shape = None
tip_width = None
use_closetip = None
| 13.8
| 26
| 0.666667
| 16
| 138
| 5.5
| 0.6875
| 0.204545
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.289855
| 138
| 9
| 27
| 15.333333
| 0.897959
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
1eac3c9f1ee1ec801eff802ed1972306ffea358b
| 809
|
py
|
Python
|
Book.py
|
EvilKhaosKat/books_buying_optimizer
|
ef6a2f2537db3bf402de293f1db58ddec635535d
|
[
"Apache-2.0"
] | null | null | null |
Book.py
|
EvilKhaosKat/books_buying_optimizer
|
ef6a2f2537db3bf402de293f1db58ddec635535d
|
[
"Apache-2.0"
] | null | null | null |
Book.py
|
EvilKhaosKat/books_buying_optimizer
|
ef6a2f2537db3bf402de293f1db58ddec635535d
|
[
"Apache-2.0"
] | null | null | null |
import unittest
class Book:
title = "No title"
cost = 0
def __init__(self, title, cost):
self.title = title
self.cost = cost
def __eq__(self, other):
return self.title == other.title # TODO check strictly on title/cost?
def __repr__(self):
return "Book(title='{}', cost={})".format(self.title, self.cost)
def __str__(self, *args, **kwargs):
return self.__repr__()
def __hash__(self):
return hash(self.title) ^ hash(self.cost)
class TestBook(unittest.TestCase):
def test_equals(self):
book_1 = Book(title='Book 1', cost=1)
book_1_copy = Book(title='Book 1', cost=1)
book_2 = Book(title='Book 2', cost=2)
self.assertEqual(book_1, book_1_copy)
self.assertNotEqual(book_1, book_2)
| 23.794118
| 78
| 0.611867
| 111
| 809
| 4.153153
| 0.297297
| 0.075922
| 0.058568
| 0.060738
| 0.099783
| 0.099783
| 0.099783
| 0
| 0
| 0
| 0
| 0.023256
| 0.255871
| 809
| 33
| 79
| 24.515152
| 0.742525
| 0.042027
| 0
| 0
| 0
| 0
| 0.065977
| 0
| 0
| 0
| 0
| 0.030303
| 0.090909
| 1
| 0.272727
| false
| 0
| 0.045455
| 0.181818
| 0.681818
| 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
| 1
| 1
| 0
|
0
| 4
|
1eb316202f72cc6dbfbbd16fdd9c680af3767fc4
| 250
|
py
|
Python
|
src/cocoa/toga_cocoa/widgets/passwordinput.py
|
jrwdunham/toga
|
db343c99d0f174aea86c4656849ea25ffb7bfe7a
|
[
"BSD-3-Clause"
] | null | null | null |
src/cocoa/toga_cocoa/widgets/passwordinput.py
|
jrwdunham/toga
|
db343c99d0f174aea86c4656849ea25ffb7bfe7a
|
[
"BSD-3-Clause"
] | null | null | null |
src/cocoa/toga_cocoa/widgets/passwordinput.py
|
jrwdunham/toga
|
db343c99d0f174aea86c4656849ea25ffb7bfe7a
|
[
"BSD-3-Clause"
] | null | null | null |
from ..libs import NSSecureTextField
from .textinput import TextInput
class PasswordInput(TextInput):
_IMPL_CLASS = NSSecureTextField
def __init__(self, id=None, style=None):
super(PasswordInput, self).__init__(id=id, style=style)
| 25
| 63
| 0.752
| 29
| 250
| 6.137931
| 0.517241
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.156
| 250
| 9
| 64
| 27.777778
| 0.843602
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| false
| 0.333333
| 0.333333
| 0
| 0.833333
| 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
| 1
| 1
| 0
| 0
| 0
|
0
| 4
|
94a56a4c64d8b56670dc35765aa0f482f4918bb8
| 141,568
|
py
|
Python
|
Kamael/beard_states.py
|
azeemba/invisibot
|
a172d285c5eae0628111e5b73f60fcd266de4592
|
[
"MIT"
] | null | null | null |
Kamael/beard_states.py
|
azeemba/invisibot
|
a172d285c5eae0628111e5b73f60fcd266de4592
|
[
"MIT"
] | null | null | null |
Kamael/beard_states.py
|
azeemba/invisibot
|
a172d285c5eae0628111e5b73f60fcd266de4592
|
[
"MIT"
] | null | null | null |
from beard_utilities import *
import math
from rlbot.agents.base_agent import BaseAgent, SimpleControllerState
from rlbot.utils.structures.game_data_struct import GameTickPacket
from rlbot.utils.game_state_util import (
GameState,
BallState,
CarState,
Physics,
Vector3,
Rotator,
)
import random
"""
Right corner loc: (-2048, -2560), yaw: 0.25 pi loc: (2048, 2560), yaw: -0.75 pi
Left corner loc: (2048, -2560), yaw: 0.75 pi loc: (-2048, 2560), yaw: -0.25 pi
Back right loc: (-256.0, -3840), yaw: 0.5 pi loc: (256.0, 3840), yaw: -0.5 pi
Back left loc: (256.0, -3840), yaw: 0.5 pi loc: (-256.0, 3840), yaw: -0.5 pi
Far back center loc: (0.0, -4608), yaw: 0.5 pi loc: (0.0, 4608), yaw: -0.5 pi
"""
def locked_in(agent, agentType):
if agentType == LeapOfFaith:
if agent.activeState.active != False:
return True
if agentType == Divine_Mandate:
if agent.activeState.active != False:
return True
if agentType == airLaunch:
if agent.activeState.active != False:
return True
if agentType == BlessingOfDexterity:
if agent.activeState.active != False:
return True
if agentType == Wings_Of_Justice:
if agent.activeState.active != False:
return True
# if agentType == DivineGrace:
# if agent.activeState.active != False:
# return True
if agentType == DivineGuidance:
if agent.activeState.active != False:
return True
if agentType == RighteousVolley:
if agent.activeState.active != False:
return True
return False
def getKickoffPosition(vec):
kickoff_locations = [[2048, 2560], [256, 3848], [0, 4608]]
# 0 == wide diagonal, 1 == short disgonal, 2 == middle
if abs(vec[0]) >= 350:
return 0
elif abs(vec[0]) > 5:
return 1
else:
return 2
class baseState:
def __init__(self, agent):
self.agent = agent
self.active = True
def __repr__(self):
return f"{type(self).__name__}"
class Player_reporter(baseState):
def update(self):
if len(self.agent.allies) > 0:
center = Vector([0, 5200 * -sign(self.agent.team), 200])
dummy = self.agent.allies[0]
shotAngle = math.degrees(angle2(dummy.location, center))
correctedAngle = correctAngle(shotAngle + 90 * -sign(self.agent.team))
# agent.log.append(
# f"natural angle: {shotAngle} || corrected angle: {correctedAngle}"
# )
print(distance2D(self.agent.allies[0].location,self.agent.ball.location))
else:
self.agent.log.append("waiting on player to join bot team")
return SimpleControllerState()
class State:
RESET = 0
WAIT = 1
INITIALIZE = 2
RUNNING = 3
class Kickoff_boosties(baseState):
def update(self):
return kickoff_boost_grabber(self.agent)
class airLaunch(baseState):
def __init__(self, agent):
baseState.__init__(self, agent)
self.initiated = agent.time
self.jumpTimer = agent.time
self.firstJump = False
self.secondJump = False
self.firstJumpHold = 0.5
self.secondJumpHold = 0.4
self.active = True
def update(self):
stateController = SimpleControllerState()
if not self.firstJump:
self.firstJump = True
stateController.jump = True
self.jumpTimer = self.agent.time
elif self.firstJump and not self.secondJump:
if self.agent.time - self.jumpTimer < self.firstJumpHold:
stateController.jump = True
elif (
self.agent.time - self.jumpTimer > self.firstJumpHold
and self.agent.time - self.jumpTimer < self.firstJumpHold + 0.05
):
stateController.boost = True
stateController.jump = False
else:
self.secondJump = True
stateController.boost = True
self.jumpTimer = self.agent.time
else:
if self.agent.time - self.jumpTimer < self.secondJumpHold:
stateController.jump = True
stateController.boost = True
else:
self.active = False
self.jump = False
self.agent.activeState = DivineGrace(self.agent)
if (
self.agent.time - self.jumpTimer > 0.15
and self.agent.time - self.jumpTimer < 0.35
):
stateController.pitch = 1
return stateController
class Aerial_Charge:
def __init__(self, agent, target: Vector):
self.target = target
self.agent = agent
self.active = True
self.anti_gravity_vec = Vector([0,0,1])
self.timer = 0
self.wallJump = self.agent.onWall
def update(self):
controls = SimpleControllerState()
controls.throttle = 0
self.timer += self.agent.deltaTime
#print(self.timer)
delta_a = calculate_delta_acceleration(self.target - self.agent.me.location, self.agent.me.velocity,
0.01, self.agent.gravity)
if not self.agent.onSurface:
align_car_to(controls, self.agent.me.avelocity, delta_a, self.agent)
aim_target = (delta_a.normalize()+self.anti_gravity_vec).normalize().scale(2300)
if self.wallJump:
if self.timer <= 0.2:
controls.boost = self.agent._forward.dotProduct(delta_a.normalize()) > 0.6 and delta_a.magnitude() > 100
controls.jump = True
return controls
elif self.timer <= 0.2+self.agent.fakeDeltaTime*3:
controls.jump = False
controls.boost = self.agent._forward.dotProduct(delta_a.normalize()) > 0.6 and delta_a.magnitude() > 100
return controls
elif self.timer > 0.2+self.agent.fakeDeltaTime*3:
controls.steer,controls.roll,controls.yaw,controls.pitch = 0,0,0,0
controls.jump = True
controls.boost = self.agent._forward.dotProduct(delta_a.normalize()) > 0.6 and delta_a.magnitude() > 100
if self.timer > 0.2 + self.agent.fakeDeltaTime * 6:
#print("Launch complete")
self.active = False
return controls
else:
controls.boost = self.agent._forward.dotProduct(delta_a.normalize()) > 0.6 and delta_a.magnitude() > 100
if self.timer < 0.2:
controls.jump = True
elif self.timer < 0.2 + self.agent.fakeDeltaTime * 3:
controls.jump = False
elif self.timer < 0.2 + self.agent.fakeDeltaTime * 5:
controls.steer,controls.roll,controls.yaw,controls.pitch = 0,0,0,0
controls.jump = True
else:
controls.jump = True
self.active = False
return controls
print("error, launch condition out of range!")
self.active = False
return controls
class Wings_Of_Justice:
def __init__(self, agent, pred, target:Vector, time:float):
self.active = False
self.agent = agent
self.time = clamp(10, 0.0001, time)
self.airborne = False
self.launcher = None
self.pred = predictionStruct(
convertStructLocationToVector(pred), pred.game_seconds
)
self.target = target
self.drive_controls = SimpleControllerState()
self.launch_projection = None
self.started = self.agent.time
self.powershot = distance2D(target,Vector([0,5200*-sign(agent.team),0])) > 2000
# def validateExistingPred(self):
# updatedPredAtTime = find_pred_at_time(self.agent, self.pred.time)
# if self.pred.time <= self.agent.time:
# return False
#
# if (
# findDistance(
# convertStructLocationToVector(updatedPredAtTime), self.pred.location
# )
# > 10
# ):
# return False
# return True
def setup(self):
#print(f"in setup {self.agent.time}")
if self.agent.onSurface:
launching = False
dt = self.pred.time - self.agent.time
delta_a = calculate_delta_acceleration(self.target - self.agent.me.location, self.agent.jumpPhysics.velocity,
dt, self.agent.gravity)
expedite = 1060 * (self.agent.me.boostLevel-10 / 33.333) > delta_a.scale(dt).magnitude()
_direction = direction(self.agent.me.location,self.target)
destination = self.target + _direction.scale(150)
self.drive_controls = driveController(self.agent, destination,
self.pred.time,
expedite=expedite, flippant=False,
maintainSpeed=False)
#zoneInfo= takeoff_goldielox_zone(self.agent,self.target)
if delta_a.magnitude() < 1000:
if abs(self.drive_controls.steer) <= 0.15: #self.agent.currentSpd < 300 or
if not self.agent.onWall:
projection = self.agent.me.location + self.agent.jumpPhysics.velocity.scale(1.5)
projected_delta_a = calculate_delta_acceleration(self.target - projection,
self.agent.jumpPhysics.velocity,
dt, self.agent.gravity)
if projected_delta_a.magnitude() < 1000:
launching = True
#print(delta_a.magnitude(),projected_delta_a.magnitude())
self.launch_projection = projected_delta_a.magnitude()
else:
self.agent.log.append("Averting a bad launch")
launching = False
else:
launching = True
if not launching:
self.active = False
#print(f"required delta: {delta_a.magnitude()}")
else:
if distance2D(self.target,self.agent.me.location) <= 5000:
if not self.agent.onWall:
self.launcher = self.agent.createJumpChain(2, 400, jumpSim = None,set_state = False)
else:
self.launcher = Aerial_Charge(self.agent,self.target)
self.active = True
else:
self.active = False
else:
self.active = True
def update(self):
controls = SimpleControllerState()
controls.throttle = 0
dt = self.pred.time - self.agent.time
if dt > 1 or not self.powershot:
target = self.target
else:
target = self.pred.location
delta_a = calculate_delta_acceleration(target-self.agent.me.location, self.agent.me.velocity,dt , self.agent.gravity)
if self.agent.time - self.started > .5:
if self.launch_projection != None:
self.agent.log.append(f"Projected delta_a after launcher: {str(self.launch_projection)[:6]}, in reality: {str(delta_a.magnitude())[:6]}")
self.launch_projection = None
pred_valid = validateExistingPred(self.agent,self.pred)
if self.agent.onSurface and self.launcher == None:
self.setup()
if self.launcher == None:
return self.drive_controls
if self.launcher != None:
controls = self.launcher.update()
if not self.launcher.active:
self.launcher = None
#print("killed launcher")
return controls
boost_req = 100
#if dt >1 or delta_a.magnitude() > boost_req:
align_car_to(controls, self.agent.me.avelocity, delta_a, self.agent)
aligned = self.agent._forward.dotProduct(delta_a.normalize()) > 0.7
controls.boost = aligned and delta_a.magnitude() > boost_req
if delta_a.magnitude() > 50 and aligned:
controls.throttle = 1
if delta_a.magnitude() > 1060 and dt > 1:
self.active = False
self.agent.log.append(f"required acceleration too high {delta_a.magnitude()}")
# else:
# controls.steer,controls.yaw,controls.pitch,controls.roll,angle_diff= point_at_position(self.agent, self.pred.location)
if not pred_valid:
if self.launch_projection != None:
self.agent.log.append(
f"Projected delta_a after launcher: {str(self.launch_projection)[:6]}, in reality: {str(delta_a.magnitude())[:6]}")
self.launch_projection = None
if self.launcher == None:
self.active = False
if dt <=0:
self.active = False
self.agent.log.append("Aerial timed out")
if self.agent.onSurface:
self.agent.log.append("canceling aerial since we're on surface")
self.active = False
return controls
# class Wings_Of_Justice:
# def __init__(self, agent, pred, target:Vector, time:float):
# self.active = False
# self.agent = agent
# self.time = clamp(10, 0.0001, time)
# self.airborne = False
# self.launcher = None
# self.pred = predictionStruct(
# convertStructLocationToVector(pred), pred.game_seconds
# )
# self.target = target
# self.drive_controls = SimpleControllerState()
# self.launch_projection = None
# self.started = self.agent.time
# #self.powershot = distance2D(target,Vector([0,5200*-sign(agent.team),0])) > 2000
#
# def validateExistingPred(self):
# updatedPredAtTime = find_pred_at_time(self.agent, self.pred.time)
# if self.pred.time <= self.agent.time:
# return False
#
# if (
# findDistance(
# convertStructLocationToVector(updatedPredAtTime), self.pred.location
# )
# > 10
# ):
# return False
# return True
#
# def setup(self):
# #print(f"in setup {self.agent.time}")
# if self.agent.onSurface:
# launching = False
# dt = self.pred.time - self.agent.time
# delta_a = calculate_delta_acceleration(self.target - self.agent.me.location, self.agent.jumpPhysics.velocity,
# dt, self.agent.gravity)
# expedite = 1060 * (self.agent.me.boostLevel-10 / 33.333) > delta_a.scale(dt).magnitude()
#
# _direction = direction(self.agent.me.location,self.target)
# destination = self.target + _direction.scale(150)
#
# self.drive_controls = driveController(self.agent, destination,
# self.pred.time,
# expedite=expedite, flippant=False,
# maintainSpeed=False)
#
# #zoneInfo= takeoff_goldielox_zone(self.agent,self.target)
#
#
#
# if delta_a.magnitude() < 1000:
# if abs(self.drive_controls.steer) <= 0.15: #or (self.agent.team == 0 and self.agent.currentSpd < (self.pred.time-self.agent.time)*100):
# if not self.agent.onWall:# or self.agent.team == 0:
# projection = self.agent.me.location + self.agent.jumpPhysics.velocity.scale(1.5)
# projected_delta_a = calculate_delta_acceleration(self.target - projection,
# self.agent.jumpPhysics.velocity,
# dt, self.agent.gravity)
# if projected_delta_a.magnitude() < 1000:
# launching = True
# #print(delta_a.magnitude(),projected_delta_a.magnitude())
# self.launch_projection = projected_delta_a.magnitude()
# else:
# self.agent.log.append("Averting a bad launch")
# launching = False
# else:
# launching = True
#
#
#
# if not launching:
# self.active = False
# #print(f"required delta: {delta_a.magnitude()}")
#
# else:
# if distance2D(self.target,self.agent.me.location) <= 5000:
# if not self.agent.onWall:
# self.launcher = self.agent.createJumpChain(2, 400, jumpSim = None,set_state = False)
# else:
# self.launcher = Aerial_Charge(self.agent,self.target)
# self.active = True
# else:
# self.active = False
# else:
# self.active = True
#
#
#
# def update(self):
# controls = SimpleControllerState()
# controls.throttle = 0
# dt = self.pred.time - self.agent.time
# if dt > 1:
# target = self.target
# else:
# target = self.pred.location
#
# delta_a = calculate_delta_acceleration(target-self.agent.me.location, self.agent.me.velocity,dt , self.agent.gravity)
# if self.agent.time - self.started > .5:
# if self.launch_projection != None:
# self.agent.log.append(f"Projected delta_a after launcher: {str(self.launch_projection)[:6]}, in reality: {str(delta_a.magnitude())[:6]}")
# self.launch_projection = None
#
# pred_valid = self.validateExistingPred()
#
# if self.agent.onSurface and self.launcher == None:
# self.setup()
# if self.launcher == None:
# return self.drive_controls
#
# if self.launcher != None:
# controls = self.launcher.update()
# if not self.launcher.active:
# self.launcher = None
# #print("killed launcher")
# return controls
# boost_req = 100
#
# #if dt >1 or delta_a.magnitude() > boost_req:
# align_car_to(controls, self.agent.me.avelocity, delta_a, self.agent)
# aligned = self.agent._forward.dotProduct(delta_a.normalize()) > 0.6
# controls.boost = aligned and delta_a.magnitude() > boost_req
# if delta_a.magnitude() > 50 and aligned:
# controls.throttle = 1
# if delta_a.magnitude() > 1060 and dt > 1:
# self.active = False
# self.agent.log.append(f"required acceleration too high {delta_a.magnitude()}")
# # else:
# # controls.steer,controls.yaw,controls.pitch,controls.roll,angle_diff= point_at_position(self.agent, self.pred.location)
#
# if not pred_valid:
# if self.launch_projection != None:
# self.agent.log.append(
# f"Projected delta_a after launcher: {str(self.launch_projection)[:6]}, in reality: {str(delta_a.magnitude())[:6]}")
# self.launch_projection = None
# if self.launcher == None:
# self.active = False
#
# if dt <=0:
# self.active = False
# self.agent.log.append("Aerial timed out")
#
# if self.agent.onSurface:
# self.agent.log.append("canceling aerial since we're on surface")
# self.active = False
# return controls
# class Wings_Of_Justice:
# def __init__(self, agent, pred, target, time):
# self.active = False
# self.agent = agent
# self.time = clamp(10, 0.0001, time)
# self.airborne = False
# self.launcher = None
# self.pred = predictionStruct(
# convertStructLocationToVector(pred), pred.game_seconds
# )
# # self.pred = pred
# self.target = target
# self.vel_target = Vector([0, 0, 0])
# self.driveController = SimpleControllerState()
# self.setup()
#
# def create_copy(self):
# return Wings_Of_Justice(self.agent, self.pred, self.target, self.time)
#
# def setup(self):
# vel_target = self.agent.calcDeltaV(self.target, self.time)
# if self.agent.deltaV >= vel_target.magnitude():
#
# if vel_target.magnitude() < 2300:
#
# # if self.pred.game_seconds - self.agent.time > 0:
# if self.pred.time - self.agent.time > 0:
# self.vel_target = vel_target
# self.active = True
# if self.agent.onSurface:
# # self.launcher = airLaunch(self.agent)
# controls = []
# timers = []
# controls.append(SimpleControllerState(jump=True))
# timers.append(0.2)
# controls.append(SimpleControllerState())
# timers.append(self.agent.fakeDeltaTime)
# controls.append(SimpleControllerState(jump=False))
# timers.append(self.agent.fakeDeltaTime)
# controls.append(SimpleControllerState(jump=True))
#
# self.launcher = Divine_Mandate(self.agent, controls, timers)
# # print(f"activated with dv_target of {dv_target}")
#
# def validateExistingPred(self):
# updatedPredAtTime = find_pred_at_time(self.agent, self.pred.time)
# # if self.pred.game_seconds <= self.agent.time:
# if self.pred.time <= self.agent.time:
# return False
#
# if (
# findDistance(
# convertStructLocationToVector(updatedPredAtTime), self.pred.location
# )
# > 10
# ):
# return False
# return True
#
# def update(self):
# createBox(self.agent, self.target)
# self.time = clamp(6, 0, self.pred.time - self.agent.time)
# vel_target = self.agent.calcDeltaV(self.target, self.time)
# vel_mag = vel_target.magnitude()
#
# vel_local = matrixDot(self.agent.me.matrix, vel_target)
# self.controller = SimpleControllerState()
#
# (
# self.controller.steer,
# self.controller.yaw,
# self.controller.pitch,
# self.controller.roll,
# angle_diff,
# ) = match_vel(self.agent, vel_local)
#
# acceptable_difference = 0.65
#
# if self.launcher != None and self.launcher.active:
# return self.launcher.update()
#
# else:
# if self.agent.deltaV < vel_mag:
# self.active = False
#
# if self.agent.onSurface:
# self.active = False
#
# if vel_mag > 2300:
# self.active = False
#
# if self.pred.time - self.agent.time <= 0:
# self.active = False
#
# if not self.validateExistingPred():
# self.active = False
#
# if self.agent.onSurface:
# self.active = False
# if vel_mag > 10:
# if angle_diff <= acceptable_difference:
# self.controller.boost = True
# else:
# self.controller.boost = False
# else:
# if self.time <= 1:
# (
# self.controller.steer,
# self.controller.yaw,
# self.controller.pitch,
# self.controller.roll,
# angle_diff,
# ) = point_at_position(self.agent, self.pred.location)
#
# if self.time <= 0:
# self.active = False
# # print("timed out?")
# return self.controller
class Celestial_Arrest(baseState):
def update(self):
return catch_ball(self.agent)
class LeapOfFaith(baseState):
def __init__(self, agent, targetCode, target=None):
self.agent = agent
self.active = True
self.targetCode = targetCode # 0 flip at ball , 1 flip forward, 2 double jump, 3 flip backwards, 4 flip left, 5 flip right, 6 flip at target ,7 left forward diagnal flip, 8 right forward diagnal flip
self.flip_obj = FlipStatus(agent.time)
self.target = target
self.cancelTimerCap = 0.3
self.cancelStartTime = None
self.jumped = False
def update(self):
controller_state = SimpleControllerState()
jump = flipHandler(self.agent, self.flip_obj)
if jump:
if self.targetCode == 1:
controller_state.pitch = -1
controller_state.steer = 0
controller_state.throttle = 1
elif self.targetCode == 0:
# ball_local = toLocal(
# self.agent.ball.location, self.agent.me
# ).normalize()
ball_local = self.agent.ball.local_location
ball_angle = math.atan2(ball_local.data[1], ball_local.data[0])
controller_state.jump = True
controller_state.yaw = math.sin(ball_angle)
pitch = -math.cos(ball_angle)
controller_state.pitch = pitch
if pitch > 0:
controller_state.throttle = -1
else:
controller_state.throttle = 1
elif self.targetCode == 2:
controller_state.pitch = 0
controller_state.steer = 0
controller_state.yaw = 0
elif self.targetCode == 3:
controller_state.pitch = 1
controller_state.steer = 0
controller_state.throttle = -1
elif self.targetCode == -1:
controller_state.pitch = 0
controller_state.steer = 0
controller_state.throttle = 0
elif self.targetCode == 4:
controller_state.pitch = 0
controller_state.yaw = -1
controller_state.steer = -1
controller_state.throttle = 1
#print("in left side flip")
elif self.targetCode == 5:
controller_state.pitch = 0
controller_state.yaw = 1
controller_state.steer = 1
controller_state.throttle = 1
#print("in right side flip")
elif self.targetCode == 6:
target_local = toLocal(self.target, self.agent.me).normalize()
target_angle = math.atan2(target_local.data[1], target_local.data[0])
controller_state.jump = True
controller_state.yaw = math.sin(target_angle)
pitch = -math.cos(target_angle)
controller_state.pitch = pitch
if pitch > 0:
controller_state.throttle = -1
else:
controller_state.throttle = 1
elif self.targetCode == 7:
controller_state.pitch = -1
controller_state.yaw = -1
controller_state.steer = -1
controller_state.throttle = 1
elif self.targetCode == 8:
controller_state.pitch = -1
controller_state.yaw = 1
controller_state.steer = 1
controller_state.throttle = 1
elif self.targetCode == 9:
# diagnal flip cancel
controller_state.pitch = -1
controller_state.roll = -1
# controller_state.steer = -1
controller_state.throttle = 1
elif self.targetCode == 10:
# diagnal flip cancel
controller_state.pitch = -1
controller_state.roll = 1
# controller_state.steer = -1
controller_state.throttle = 1
elif self.targetCode == -1:
controller_state.pitch = 0
controller_state.steer = 0
controller_state.throttle = 0
controller_state.jump = jump
controller_state.boost = False
if self.targetCode == 7 or self.targetCode == 8:
controller_state.boost = True
if self.flip_obj.flipDone:
if self.targetCode != 9 or self.targetCode != 10:
self.active = False
else:
if not self.cancelStartTime:
self.cancelStartTime = self.agent.time
return controller_state
if self.targetCode == 9:
controller_state.pitch = 1
controller_state.roll = 1
controller_state.throttle = 1
else:
controller_state.pitch = 1
controller_state.roll = -1
controller_state.throttle = 1
if self.agent.time - self.cancelStartTime >= self.cancelTimerCap:
self.active = False
# if self.agent.forward:
# controller_state.throttle = 1
# else:
# controller_state.throttle = -1
return controller_state
class Divine_Mandate:
# class for performing consecutive actions over a period of time. Example: Flipping forward
def __init__(self, agent, controls_list: list, durations_list: list):
self.controls = controls_list
self.durations = durations_list
self.complete = False
self.index = 0
self.current_duration = 0
self.agent = agent
# there should be a duration in the durations for every controller given in the list. This inserts 0 for any lacking
if len(durations_list) < len(controls_list):
self.durations += [0 * len(controls_list) - len(durations_list)]
self.active = True
def create_custom_controls(self, actionCode):
# perform specialized actions if creating controlers at creation time wasn't feasible
controller_state = SimpleControllerState()
if actionCode == 0:
ball_local = self.agent.ball.local_location
ball_angle = math.atan2(ball_local.data[1], ball_local.data[0])
controller_state.jump = True
controller_state.yaw = math.sin(ball_angle)
pitch = -math.cos(ball_angle)
controller_state.pitch = pitch
if pitch > 0:
controller_state.throttle = -1
else:
controller_state.throttle = 1
# ball_local = toLocal(self.agent.ball.location, self.agent.me).normalize()
# ball_angle = math.atan2(ball_local.data[1], ball_local.data[0])
# controller_state.jump = True
# controller_state.yaw = clamp(1, -1, math.sin(ball_angle))
# controller_state.pitch = clamp(1, -1, -math.cos(ball_angle))
if actionCode == 1:
controller_state.steer,controller_state.yaw,controller_state.pitch, controller_state.roll,_ = point_at_position(self.agent, self.agent.ball.location)
controller_state.jump = False
return controller_state
def update(
self,
): # call this once per frame with delta time to recieve updated controls
self.current_duration += self.agent.deltaTime
if self.current_duration > self.durations[self.index]:
self.index += 1
self.current_duration = self.current_duration - self.agent.deltaTime
# self.current_duration = 0
if self.index == len(self.controls):
self.active = False
return SimpleControllerState()
if type(self.controls[self.index]) == SimpleControllerState:
return self.controls[self.index]
else:
return self.create_custom_controls(self.controls[self.index])
class RighteousVolley(baseState):
def __init__(self, agent, delay, target):
baseState.__init__(self, agent)
self.smartAngle = False
self.target = target
height = target[2]
boomerDelay = 0.05
# if len(agent.allies) < 1:
# boomerDelay = 0
delay = clamp(1.25, 0.3, delay + boomerDelay)
if delay >= 0.3:
if height <= 200:
# print("tiny powershot")
self.jumpTimerMax = 0.1
self.angleTimer = clamp(0.15, 0.05, self.jumpTimerMax / 2)
else:
# print("normal powershot")
self.jumpTimerMax = delay - 0.2
self.angleTimer = clamp(0.15, 0.1, self.jumpTimerMax / 2)
self.delay = delay
if self.delay >= 0.5:
self.smartAngle = True
self.jumped = False
self.jumpTimer = 0
# print("setting action to powershot")
def update(self):
controller_state = SimpleControllerState()
controller_state.throttle = 0
controller_state.boost = False
ball_local = toLocal(self.agent.ball.location, self.agent.me).normalize()
# ball_local = toLocal(self.target, self.agent.me)
ball_angle = math.atan2(ball_local.data[1], ball_local.data[0])
angle_degrees = correctAngle(math.degrees(ball_angle))
if not self.jumped:
self.jumped = True
controller_state.jump = True
return controller_state
else:
self.jumpTimer += self.agent.deltaTime
if self.jumpTimer < self.angleTimer:
controller_state.pitch = 1
if self.jumpTimer < self.jumpTimerMax:
controller_state.jump = True
else:
controller_state.jump = False
if self.jumpTimer > self.jumpTimerMax:
if (
self.jumpTimer >= self.delay - 0.2
and self.jumpTimer < self.delay - 0.15
):
controller_state.jump = False
elif (
self.jumpTimer >= self.delay - 0.15
and self.jumpTimer < self.delay
):
controller_state.yaw = math.sin(ball_angle)
controller_state.pitch = -math.cos(ball_angle)
controller_state.jump = True
elif self.jumpTimer < self.delay + 0.1:
controller_state.jump = False
else:
self.active = False
controller_state.jump = False
return controller_state
class DivineRetribution:
def __init__(self, agent, targetCar):
self.agent = agent
self.targetCar = targetCar
self.active = True
def update(self,):
action = demoTarget(self.agent, self.targetCar)
return action
class DemolitionBot:
def __init__(self, agent):
self.agent = agent
self.active = True
def update(self):
target = self.agent.closestEnemyToBall
valid = False
if target.location[2] <= 90:
if (
target.location[1] > self.agent.ball.location[1]
and target.location[1] < self.agent.me.location[1]
) or (
target.location[1] < self.agent.ball.location[1]
and target.location[1] > self.agent.me.location[1]
):
valid = True
if valid:
return demoEnemyCar(self.agent, target)
else:
self.active = False
return ShellTime(self.agent)
class GroundShot(baseState):
def __init__(self, agent):
self.agent = agent
self.active = True
def update(self):
return lineupShot(self.agent, 3)
class GroundAssault(baseState):
def __init__(self, agent):
self.agent = agent
self.active = True
def update(self):
return lineupShot(self.agent, 1)
class DivineGuidance(baseState):
def __init__(self, agent, target):
self.controller = SimpleControllerState()
self.controller.jump = True
self.agent = agent
self.target = Vector([target[0],target[1],30])
self.start_time = agent.time
self.active = True
def update(self):
temp_controller = SimpleControllerState(jump=True)
if self.agent.time - self.start_time < self.agent.fakeDeltaTime * 10:
temp_controller.jump = True
elif self.agent.time - self.start_time > 0.1:
temp_controller.jump = False
else:
temp_controller.jump = False
(
temp_controller.steer,
temp_controller.yaw,
temp_controller.pitch,
temp_controller.roll,
_,
) = point_at_position(self.agent, self.target.flatten())
if self.agent.time - self.start_time > 1.2:
self.active = False
if self.agent.onSurface:
if self.agent.time - self.start_time > 0.2:
self.active = False
return temp_controller
class HolyGrenade(baseState):
def __init__(self, agent):
self.agent = agent
self.active = True
def update(self):
return handleBounceShot(self.agent)
class HolyProtector(baseState):
def update(self):
return ShellTime(self.agent)
class AerialDefend(baseState):
pass
class TurnTowardsPosition(baseState):
def __init__(self, agent, target, targetCode): # 0 = ball.location
baseState.__init__(self, agent)
self.target = target
self.threshold = 1
self.targetCode = targetCode
def update(self):
if self.targetCode == 0:
self.target = self.agent.ball.location
localTarg = toLocal(self.target, self.agent.me)
localAngle = correctAngle(math.degrees(math.atan2(localTarg[1], localTarg[0])))
controls = SimpleControllerState()
if abs(localAngle) > self.threshold:
if self.agent.forward:
if localAngle > 0:
controls.steer = 1
else:
controls.steer = -1
controls.handbrake = True
if self.agent.currentSpd < 300:
controls.throttle = 0.5
else:
if localAngle > 0:
controls.steer = -0.5
else:
controls.steer = 1
controls.handbrake = True
if self.agent.currentSpd < 300:
controls.throttle = -0.5
else:
self.active = False
return controls
class Obstruct(baseState):
def update(self):
if not kickOffTest(self.agent):
return turtleTime(self.agent)
else:
self.active = False
self.agent.activeState = PreemptiveStrike(self.agent)
return self.agent.activeState.update()
"""
def getKickoffPosition(vec):
kickoff_locations = [[2048, 2560], [256, 3848], [0, 4608]]
for i in range(len(kickoff_locations)):
if kickoff_locations[i] == [abs(vec[0]),abs(vec[1])]:
return i
return -1
"""
class Kickoff(baseState):
def __init__(self, agent):
self.agent = agent
self.started = False
self.firstFlip = False
self.secondFlip = False
# if agent.team == 1:
# # self.finalFlipDistance = 500
# # else:
self.finalFlipDistance = 750
self.active = True
self.startTime = agent.time
self.flipState = None
def fakeKickOffChecker(self):
closestToBall, bDist = findEnemyClosestToLocation(
self.agent, self.agent.ball.location
)
myDist = findDistance(self.agent.me.location, self.agent.ball.location)
if bDist:
if bDist <= myDist * 0.75:
return True
else:
return False
return False
def retire(self):
self.active = False
self.agent.activeState = None
self.flipState = None
def update(self):
spd = self.agent.currentSpd
if self.flipState != None:
if self.flipState.active:
controller = self.flipState.update()
if self.agent.time - self.flipState.flip_obj.flipStartedTimer <= 0.15:
if spd < maxPossibleSpeed:
controller.boost = True
return controller
if self.secondFlip:
self.retire()
jumping = False
ballDistance = distance2D(self.agent.me.location, self.agent.ball.location)
if not self.started:
if not kickOffTest(self.agent):
self.started = True
self.startTime = self.agent.time
if self.started and self.agent.time - self.startTime > 2.5:
self.retire()
if not self.firstFlip:
if spd > 1100:
self.flipState = LeapOfFaith(
self.agent, 0, target=self.agent.ball.location
)
self.firstFlip = True
return self.flipState.update()
if ballDistance > self.finalFlipDistance:
destination = self.agent.ball.location
if not self.firstFlip:
if self.agent.me.location[0] > self.agent.ball.location[0]:
destination.data[0] -= 200
else:
destination.data[0] += 200
else:
if self.agent.me.location[0] > self.agent.ball.location[0]:
destination.data[0] -= 5
else:
destination.data[0] += 5
return greedyMover(self.agent, destination)
else:
# if self.agent.onSurface:
# if self.agent.team == 0:
self.flipState = LeapOfFaith(self.agent, 0)
self.secondFlip = True
return self.flipState.update()
# else:
# ball_local = self.agent.ball.local_location
# # 4 flip left, 5 flip right,
# if ball_local[0] > 10:
# self.flipState = LeapOfFaith(self.agent, 4)
# print("flipping left")
#
# elif ball_local[0] < -10:
# self.flipState = LeapOfFaith(self.agent, 5)
# print("flipping right")
# else:
# self.flipState = LeapOfFaith(self.agent, 0)
# print("flipping at ball")
#
# self.secondFlip = True
# return self.flipState.update()
# self.flipState = LeapOfFaith(self.agent, 0, self.agent.ball.location)
# self.secondFlip = True
# return self.flipState.update()
class HeavenylyReprieve(baseState):
def __init__(self, agent, boostloc):
self.agent = agent
self.boostLoc = boostloc
self.active = True
def update(self):
result = inCornerWithBoost(self.agent)
if result != False:
return refuel(self.agent, result[0])
else:
self.active = False
return ShellTime(self.agent)
# class PreemptiveStrike(baseState):
# def __init__(self, agent):
# self.agent = agent
# self.started = False
# self.firstFlip = None
# self.secondFlip = None
# self.active = True
# self.startTime = agent.time
# self.kickoff_type = getKickoffPosition(agent.me.location)
# # 0 == wide diagonal, 1 == short disgonal, 2 == middle
# agent.stubbornessTimer = 5
# self.onRight = True
# self.short_offset = 75
# self.setup()
# self.enemyGoal = Vector([0,5200 * -sign(self.agent.team),0])
# self.phase = 1
# # if agent.team == 0:
# # self.KO_option = PreemptiveStrike_botpack(agent)
# # else:
# self.KO_option = None
#
#
# def create_diagonal_speed_flip(self,left=False):
# controls = []
# timers = []
# #jump start
# first_controller = SimpleControllerState()
# first_controller.jump = True
# first_controller.boost = True
# first_controller.throttle = 1
# controls.append(first_controller)
# timers.append(0.1)
#
# #jump delay
# second_controller = SimpleControllerState()
# second_controller.jump = False
# second_controller.boost = True
# second_controller.throttle = 1
# if left:
# yaw = -0.85
# else:
# yaw = 0.85
#
# pitch = -0.15
#
# second_controller.yaw = yaw
# second_controller.pitch = pitch
#
# controls.append(second_controller)
# timers.append(self.agent.deltaTime*3)
#
#
# #jump flip
# third_controller = SimpleControllerState()
# third_controller.jump = True
# third_controller.boost = True
# third_controller.throttle = 1
#
# if left:
# yaw = -0.85
# else:
# yaw = 0.85
#
# pitch = -0.15
#
# third_controller.yaw = yaw
# third_controller.pitch = pitch
# controls.append(third_controller)
# timers.append(0.5)
#
# action = Divine_Mandate(self.agent, controls, timers)
# #print(type(action))
# return action
#
#
# def setup(self):
# #setup randomness like offsets to either side of the ball. Make sure it's slightly offset from middle so we can flip center
# #setup flips
# if self.kickoff_type == 0:
# ball_local = localizeVector(Vector([0,0,0]),self.agent.me)
# #print(ball_local)
# if ball_local[1] > 0:
# self.firstFlip = self.create_diagonal_speed_flip(left=True)
# self.onRight = True
# #print("flipping left")
# else:
# self.firstFlip = self.create_diagonal_speed_flip(left=False)
# self.onRight = False
# #print("flipping right")
#
# elif self.kickoff_type == 1:
# if self.agent.ball.local_location[1] < 0:
# self.firstFlip = self.create_diagonal_speed_flip(left=False)
# self.onRight = True
# self.short_offset = -50 *sign(self.agent.team)
# else:
# self.firstFlip = self.create_diagonal_speed_flip(left=True)
# self.onRight = False
# self.short_offset = 50 *sign(self.agent.team)
# #print(f"on left and short offset == {self.short_offset}")
#
# else:
# # middle kickoff defaulting to right
# self.firstFlip = self.create_diagonal_speed_flip(left=True)
# #self.onRight shouldn't matter
#
# def wide_handler(self):
# #stage 1 - drive to boost pad
# if self.phase == 1:
# if distance2D(self.agent.me.location,self.agent.ball.location) > 2650:
# return driveController(self.agent, self.agent.ball.location,
# 0,
# expedite=True, flippant=False,
# maintainSpeed=False)
# else:
# self.phase = 2
#
# #stage 2 - angle towards outside of ball
# if self.phase == 2:
# if distance2D(self.agent.me.location, self.agent.ball.location) > 2380:
# return driveController(self.agent, self.enemyGoal,
# 0,
# expedite=True, flippant=False,
# maintainSpeed=False)
# else:
# self.phase = 3
# #stage 3 - first flip
# if self.phase == 3:
# if self.firstFlip.active:
# return self.firstFlip.update()
# else:
# self.phase = 4
#
# #stage 4 - aim towards just offcenter of ball
# if self.phase == 4:
# if distance2D(self.agent.me.location,self.agent.ball.location) > 750:
# if self.agent.me.location[0] > self.agent.ball.location[0]:
# dummy_location = self.agent.ball.location + Vector([0,180*sign(self.agent.team),0])
# _direction = direction(self.enemyGoal,self.agent.ball.location)
# drive_target = dummy_location + _direction.scale(distance2D(self.agent.me.location,dummy_location)*.5)
# else:
# dummy_location = self.agent.ball.location + Vector([0, 180 * sign(self.agent.team), 0])
# _direction = direction(self.enemyGoal, self.agent.ball.location)
# drive_target = dummy_location + _direction.scale(
# distance2D(self.agent.me.location, dummy_location) * .5)
#
# return driveController(self.agent, drive_target,
# 0,
# expedite=not self.agent.superSonic, flippant=False,
# maintainSpeed=False)
# else:
# self.phase = 5
#
#
# #stage 5 - flip through center and end kickoff
# # 4 flip left, 5 flip right
# if self.phase == 5:
# if self.secondFlip == None:
# if self.onRight:
# _code = 0
# else:
# _code = 0
#
# self.secondFlip = LeapOfFaith(self.agent, _code, target=None)
# controls = self.secondFlip.update()
# if not self.secondFlip.active:
# self.retire()
# return controls
#
#
# def short_handler(self):
# # stage 1 - drive to boost pad
# if self.phase == 1:
# drive_target = Vector([self.short_offset, sign(self.agent.team)*2850.0,0])
# if distance2D(self.agent.me.location, drive_target) > 200:
# return driveController(self.agent, drive_target,
# 0,
# expedite=True, flippant=False,
# maintainSpeed=False)
# else:
# self.phase = 2
#
# # stage 2 - angle towards outside of ball
# if self.phase == 2:
# controls = SimpleControllerState()
# if not self.agent.onSurface:
# controls.steer, controls.yaw, controls.pitch, controls.roll, alignment_error = point_at_position(
# self.agent, self.agent.ball.location)
# return controls
# else:
# self.phase = 3
# # stage 3 - first flip
# if self.phase == 3:
# if self.firstFlip.active:
# return self.firstFlip.update()
# else:
# self.phase = 4
#
# # stage 4 - aim towards just offcenter of ball
# if self.phase == 4:
# if distance2D(self.agent.me.location, self.agent.ball.location) > 750:
# if self.agent.me.location[0] > self.agent.ball.location[0]:
# dummy_location = self.agent.ball.location + Vector([0, 180 * sign(self.agent.team), 0])
# _direction = direction(self.enemyGoal, self.agent.ball.location)
# drive_target = dummy_location + _direction.scale(
# distance2D(self.agent.me.location, dummy_location) * .5)
# else:
# dummy_location = self.agent.ball.location + Vector([0, 180 * sign(self.agent.team), 0])
# _direction = direction(self.enemyGoal, self.agent.ball.location)
# drive_target = dummy_location + _direction.scale(
# distance2D(self.agent.me.location, dummy_location) * .5)
#
# return driveController(self.agent, drive_target,
# 0,
# expedite=not self.agent.superSonic, flippant=False,
# maintainSpeed=False)
# else:
# self.phase = 5
#
# # stage 5 - flip through center and end kickoff
# # 4 flip left, 5 flip right
# if self.phase == 5:
# if self.secondFlip == None:
# if self.onRight:
# _code = 0
# else:
# _code = 0
#
# self.secondFlip = LeapOfFaith(self.agent, _code, target=None)
# controls = self.secondFlip.update()
# if not self.secondFlip.active:
# self.retire()
# return controls
#
# def middle_handler(self):
# # stage 1 - drive to boost pad
# if self.phase == 1:
# drive_target = Vector([0, sign(self.agent.team) * 4000, 0])
# if distance2D(self.agent.me.location, drive_target) > 75:
# return driveController(self.agent, drive_target,
# 0,
# expedite=True, flippant=False,
# maintainSpeed=False)
# else:
# self.phase = 2
#
# # stage 2 - angle towards outside of ball
# if self.phase == 2:
# drive_target = Vector([4500*sign(self.agent.team), 0, 0])
# if distance2D(self.agent.me.location, self.agent.ball.location) > 3850:
# return driveController(self.agent, drive_target,
# 0,
# expedite=True, flippant=False,
# maintainSpeed=False)
# else:
# self.phase = 3
# # stage 3 - first flip
# if self.phase == 3:
# if self.firstFlip.active:
# return self.firstFlip.update()
# else:
# self.phase = 4
#
# # stage 4 - aim towards just offcenter of ball
# if self.phase == 4:
# if distance2D(self.agent.me.location, self.agent.ball.location) > 750:
# if self.agent.me.location[0] > self.agent.ball.location[0]:
# dummy_location = self.agent.ball.location + Vector([0, 180 * sign(self.agent.team), 0])
# _direction = direction(self.enemyGoal, self.agent.ball.location)
# drive_target = dummy_location + _direction.scale(
# distance2D(self.agent.me.location, dummy_location) * .5)
# else:
# dummy_location = self.agent.ball.location + Vector([0, 180 * sign(self.agent.team), 0])
# _direction = direction(self.enemyGoal, self.agent.ball.location)
# drive_target = dummy_location + _direction.scale(
# distance2D(self.agent.me.location, dummy_location) * .5)
#
# return driveController(self.agent, drive_target,
# 0,
# expedite=not self.agent.superSonic, flippant=False,
# maintainSpeed=False)
# else:
# self.phase = 5
#
# # stage 5 - flip through center and end kickoff
# # 4 flip left, 5 flip right
# if self.phase == 5:
# if self.secondFlip == None:
# if self.onRight:
# _code = 0
# else:
# _code = 0
#
# self.secondFlip = LeapOfFaith(self.agent, _code, target=None)
# controls = self.secondFlip.update()
# if not self.secondFlip.active:
# self.retire()
# return controls
#
#
# def retire(self):
# self.active = False
# self.agent.activeState = None
#
# def update(self):
# if not self.agent.gameInfo.is_kickoff_pause:
# self.retire()
#
# if self.KO_option != None:
# if not self.KO_option.active:
# self.retire()
# return self.KO_option.update()
#
# # 0 == wide diagonal, 1 == short disgonal, 2 == middle
# if self.kickoff_type == 0:
# return self.wide_handler()
# elif self.kickoff_type == 1:
# return self.short_handler()
# else:
# return self.middle_handler()
#class PreemptiveStrike_botpack(baseState):
class PreemptiveStrike(baseState):
def __init__(self, agent):
self.agent = agent
self.started = False
self.firstFlip = False
self.secondFlip = False
# if agent.team == 1:
# self.finalFlipDistance = 550
# else:
self.finalFlipDistance = 850
# self.finalFlipDistance = 1400
self.active = True
self.startTime = agent.time
self.flipState = None
self.kickoff_type = getKickoffPosition(agent.me.location)
self.method = 0
self.setup()
agent.stubbornessTimer = 5
agent.stubborness = agent.stubbornessMax
agent.stubborness = agent.stubbornessMax
self.maxOffset = 1300.0
self.minOffset = 900.0
self.xOffset = random.randrange(self.minOffset, self.maxOffset)
def setup(self):
if abs(self.agent.me.location[0]) < 257:
self.method = 1
self.replacement = Kickoff(self.agent)
def rightSelf(self):
controller_state = SimpleControllerState()
if self.agent.me.rotation[2] > 0:
controller_state.roll = -1
elif self.agent.me.rotation[2] < 0:
controller_state.roll = 1
if self.agent.me.rotation[0] > self.agent.velAngle:
controller_state.yaw = -1
elif self.agent.me.rotation[0] < self.agent.velAngle:
controller_state.yaw = 1
if self.agent.me.rotation[0] > 0:
controller_state.pitch = -1
elif self.agent.me.rotation[0] < 0:
controller_state.pitch = 1
controller_state.throttle = 1
return controller_state
def fakeKickOffChecker(self):
closestToBall, bDist = findEnemyClosestToLocation(
self.agent, self.agent.ball.location
)
myDist = findDistance(self.agent.me.location, self.agent.ball.location)
if bDist:
if bDist <= myDist * 0.75:
return True
else:
return False
return False
def retire(self):
self.active = False
self.agent.activeState = None
self.flipState = None
def update(self):
# print(self.agent.time - self.startTime)
if self.method == 1:
action = self.replacement.update()
if not self.replacement.active:
self.retire()
return action
else:
spd = self.agent.currentSpd
if self.flipState != None:
if self.flipState.active:
controller = self.flipState.update()
controller.boost = True
return controller
if self.secondFlip:
self.retire()
jumping = False
ballDistance = distance2D(self.agent.me.location, self.agent.ball.location)
if ballDistance < 200:
self.retire()
if not self.started:
if not kickOffTest(self.agent):
self.started = True
self.startTime = self.agent.time
if self.started and self.agent.time - self.startTime > 2.5:
self.retire()
if not self.firstFlip:
if spd > 1050:
localBall = self.agent.ball.local_location
angle = correctAngle(
math.degrees(math.atan2(localBall[1], localBall[0]))
)
# if self.agent.team == 0:
if angle < 0:
self.flipState = LeapOfFaith(self.agent, 9)
else:
self.flipState = LeapOfFaith(self.agent, 10)
# else:
# if angle > 0:
# self.flipState = LeapOfFaith(self.agent, 9)
# else:
# self.flipState = LeapOfFaith(self.agent, 10)
self.firstFlip = True
controller = self.flipState.update()
controller.boost = True
return controller
destination = self.agent.ball.location
if ballDistance > self.finalFlipDistance:
# destination.data[1] += -sign(self.agent.team)*100
if not self.firstFlip:
# print(self.kickoff_type)
if self.agent.team == 1:
if self.kickoff_type == 0:
if destination[0] > self.agent.me.location[0]:
# print("greater than 0")
destination.data[0] += self.xOffset # 1100
else:
destination.data[0] -= self.xOffset # 1100
# print("less than 0")
elif self.kickoff_type == 1:
if destination[0] > self.agent.me.location[0]:
# print("greater than 0")
destination.data[0] += 900
else:
destination.data[0] -= 900
# print("less than 0")
elif self.kickoff_type == 2:
destination.data[0] -= 750
else:
if (
destination[0] > self.agent.me.location[0]
or self.kickoff_type == -1
):
destination.data[0] += 1100
else:
destination.data[0] -= 1100
else:
if self.kickoff_type == 0:
if destination[0] > self.agent.me.location[0]:
# print("greater than 0")
destination.data[0] += self.xOffset # 1100
else:
destination.data[0] -= self.xOffset # 1100
# print("less than 0")
elif self.kickoff_type == 1:
if destination[0] > self.agent.me.location[0]:
# print("greater than 0")
destination.data[0] += 900
else:
destination.data[0] -= 900
# print("less than 0")
elif self.kickoff_type == 2:
destination.data[0] += 750
else:
if (
destination[0] > self.agent.me.location[0]
or self.kickoff_type == -1
):
destination.data[0] -= 1100
else:
destination.data[0] += 1100
else:
if destination[0] > self.agent.me.location[0]:
destination.data[0] -= 25
else:
destination.data[0] += 25
controls = greedyMover(self.agent, destination)
if self.firstFlip and not self.secondFlip:
if self.flipState:
if not self.flipState.active:
if not self.agent.onSurface:
controls = self.rightSelf()
if spd < 2200:
controls.boost = True
else:
controls.boost = False
return controls
else:
if self.agent.onSurface:
# if self.agent.team == 0:
self.flipState = LeapOfFaith(self.agent, 0)
self.secondFlip = True
return self.flipState.update()
# else:
# ball_local = self.agent.ball.local_location
# #4 flip left, 5 flip right,
# if ball_local[0] > 10:
# self.flipState = LeapOfFaith(self.agent, 4)
# print("flipping left")
#
# elif ball_local[0] < -10:
# self.flipState = LeapOfFaith(self.agent, 5)
# print("flipping right")
# else:
# self.flipState = LeapOfFaith(self.agent, 0)
# print("flipping at ball")
#
# self.secondFlip = True
# return self.flipState.update()
else:
controls = self.rightSelf()
if spd < maxPossibleSpeed:
controls.boost = True
if ballDistance < 150:
self.retire()
return controls
class DivineGrace(baseState):
def update(self):
controller_state = SimpleControllerState()
controller_state.throttle = 1
vel_local = matrixDot(self.agent.me.matrix, self.agent.me.velocity.flatten())
(
controller_state.steer,
controller_state.yaw,
controller_state.pitch,
controller_state.roll,
__,
) = match_vel(self.agent, vel_local)
if self.agent.onSurface or self.agent.me.location[1] <= self.agent.recovery_height:
self.active = False
return controller_state
class catchTesting(baseState):
def update(self):
return catch_ball(self.agent)
# class WardAgainstEvil(baseState):
# def __init__(self, agent):
# self.agent = agent
# self.active = True
# self.timeCreated = self.agent.time
#
# def update(self):
# # print(f"We're too scared! {self.agent.time}")
# return scaredyCat(self.agent)
class WardAgainstEvil(baseState):
def __init__(self, agent):
self.agent = agent
self.active = True
def update(self):
if goalie_shot(self.agent,self.agent.currentHit):
return ShellTime(self.agent)
else:
return gate(self.agent)
class BlessingOfDexterity(baseState):
def __init__(self, agent):
self.agent = agent
self.active = True
self.firstJump = False
self.secondJump = False
self.jumpStart = 0
self.timeCreated = self.agent.time
def update(self):
controller_state = SimpleControllerState()
controller_state.throttle = -1
if not self.firstJump:
controller_state.jump = True
controller_state.pitch = 1
self.firstJump = True
self.jumpStart = self.agent.time
return controller_state
elif self.firstJump and not self.secondJump:
jumpTimer = self.agent.time - self.jumpStart
controller_state.pitch = 1
controller_state.jump = False
if jumpTimer < 0.12:
controller_state.jump = True
if jumpTimer > 0.15:
controller_state.jump = True
self.jumpStart = self.agent.time
self.secondJump = True
return controller_state
elif self.firstJump and self.secondJump:
timer = self.agent.time - self.jumpStart
if timer < 0.15:
controller_state.pitch = 1
else:
controller_state.pitch = -1
controller_state.roll = 1
if timer > 0.8:
controller_state.roll = 0
if timer > 1.15:
self.active = False
return controller_state
else:
agent.log.append(
"halfFlip else conditional called in update. This should not be happening"
)
class Chase(baseState):
def __init__(self, agent):
self.agent = agent
self.active = True
def update(self):
if not kickOffTest(self.agent):
return efficientMover(self.agent, self.agent.ball, self.agent.maxSpd)
else:
self.active = False
self.agent.activeState = PreemptiveStrike(self.agent)
return self.agent.activeState.update()
class HeetSeekerDefense(baseState):
def update(self):
return goFarPost(self.agent)
class Goalie(baseState):
def update(self):
distMin = 2000
if self.agent.ignore_kickoffs:
distMin = 3000
if (
distance2D(
Vector([0, 5200 * sign(self.agent.team), 0]), self.agent.ball.location
)
< distMin or distance2D(
Vector([0, 5200 * sign(self.agent.team), 0]), self.agent.currentHit.pred_vector
)
< distMin
):
return ShellTime(self.agent)
offensive = sign(self.agent.team) * self.agent.ball.location[1] < 0
if offensive and self.agent.me.boostLevel < self.agent.boostThreshold:
return backmanBoostGrabber(self.agent)
return gate(self.agent,hurry=False)
class BlessingOfSafety(baseState):
def update(self):
distMin = 1500
offensive = sign(self.agent.team) * self.agent.ball.location[1] < 0
if self.agent.rotationNumber == 1:
return ShellTime(self.agent)
if (
distance2D(
Vector([0, 5200 * sign(self.agent.team), 0]), self.agent.ball.location
)
< distMin or distance2D(
Vector([0, 5200 * sign(self.agent.team), 0]), self.agent.currentHit.pred_vector
)
< distMin
):
#return ShellTime(self.agent,retreat_enabled=self.agent.me.location == self.agent.lastMan) #retreat_enabled=self.agent.me.location != self.agent.lastMan
return ShellTime(self.agent)
else:
if True:
if (self.agent.rotationNumber == 2):
if len(self.agent.allies) > 0:
#if self.agent.team !=0 or self.agent.lastMan != self.agent.me.location:
if self.agent.lastMan != self.agent.me.location:
return secondManPositioning(self.agent)
else:
return thirdManPositioning(self.agent)
return playBack(self.agent,buffer = 4000)
else:
return thirdManPositioning(self.agent)
# def update(self):
# if self.agent.team == 0:
# return self.update_old()
#
# distMin = 2000
#
# offensive = self.agent.ball.location[1] * -sign(self.agent.team) > 1000
#
# if offensive:
# if self.agent.rotationNumber == 2:
# if self.agent.me.location[1] != self.agent.lastManY:
# return secondManPositioning(self.agent)
# else:
# if len(self.agent.allies) >= 2:
# return thirdManPositioning(self.agent)
# else:
# if self.agent.rotationNumber == 2:
# if self.agent.me.location[1] != self.agent.lastManY:
# return playBack(self.agent,buffer=2000)
# else:
# return playBack(self.agent, buffer=3500)
#
# return playBack(self.agent, buffer=3000)
class DivineAssistance(baseState):
def update(self):
return secondManSupport(self.agent)
def halfFlipStateManager(agent):
if agent.activeState.active == False:
agent.activeState = BlessingOfDexterity(agent)
else:
if type(agent.activeState) != BlessingOfDexterity:
agent.activeState = BlessingOfDexterity(agent)
class soloDefense(baseState):
def update(self):
if (
distance2D(
Vector([0, 5200 * sign(self.agent.team), 200]),
convertStructLocationToVector(self.agent.selectedBallPred),
)
< 1500
):
return ShellTime(self.agent)
else:
return playBack(self.agent)
class ScaleTheWalls(baseState):
def update(self):
return handleWallShot(self.agent)
class AngelicEmbrace(baseState):
def update(self):
# return carry_flick(self.agent,cradled = True)
return carry_flick_new(self.agent, cradled=True)
# return newCarry(self.agent)
class Holy_Shield(baseState):
def update(self):
return defensive_posture(self.agent)
class emergencyDefend(baseState):
def update(self):
penetrationPosition = convertStructLocationToVector(self.agent.goalPred)
penetrationPosition.data[1] = 5350 * sign(self.agent.team)
if self.agent.goalPred.game_seconds - self.agent.gameInfo.seconds_elapsed > 0.1:
if distance2D(self.agent.me.location, penetrationPosition) > 100:
return testMover(self.agent, penetrationPosition, 2300)
else:
if penetrationPosition[2] > 300:
self.activeState = LeapOfFaith(self.agent, -1)
return self.activeState.update()
else:
self.activeState = LeapOfFaith(self.agent, 0)
return self.activeState.update()
def parseCarInfo(carList, index, _max=False):
val = 0
best = None
for each in carList:
if _max:
if each[index] > val:
best = each
val = each[index]
else:
if each[index] < val:
best = each
val = each[index]
return best
def aerialStateManager(agent):
center = Vector([0, 5500 * -sign(agent.team), 200])
if agent.ball.location[2] < 110:
car_state = CarState(
physics=Physics(
velocity=Vector3(z=0, x=0, y=0), location=Vector3(0, 0, 17.1)
)
)
ball_state = BallState(
physics=Physics(
velocity=Vector3(
z=1550,
x=random.randrange(-1500, 1500),
y=random.randrange(-1500, 1500),
),
location=Vector3(0, 0, 350),
)
)
game_state = GameState(cars={agent.index: car_state}, ball=ball_state)
agent.set_game_state(game_state)
agent.activeState = None
if type(agent.activeState) != Wings_Of_Justice or not agent.activeState.active:
pred = agent.ballPred.slices[0]
for i in range(0, agent.ballPred.num_slices):
if i > 60 and i % 3 != 0:
continue
pred = agent.ballPred.slices[i]
tth = pred.game_seconds - agent.gameInfo.seconds_elapsed
if tth <= 0:
continue
if agent.onSurface:
if pred.physics.location.z < 300:
continue
pred_vec = convertStructLocationToVector(pred)
if findDistance(agent.me.location, pred_vec) < 2300 * tth:
_direction = direction(center, pred_vec).flatten()
positioningOffset = 90
aim_loc = pred_vec - _direction.scale(90)
tempAerial = Wings_Of_Justice(agent, pred, aim_loc, tth)
if tempAerial.active:
break
if tempAerial.active:
agent.activeState = tempAerial
def demoTest(agent):
targ = findEnemyClosestToLocation(agent, agent.ball.location)[0]
return demoEnemyCar(agent, targ)
def twos_manager(agent):
agentType = type(agent.activeState)
if agentType != PreemptiveStrike:
if not kickOffTest(agent):
myGoalLoc = Vector([0, 5200 * sign(agent.team), 200])
ballDistanceFromGoal = distance2D(myGoalLoc, agent.ball)
carDistanceFromGoal = distance2D(myGoalLoc, agent.me)
if agentType == LeapOfFaith:
if agent.activeState.active != False:
return
if agentType == Divine_Mandate:
if agent.activeState.active != False:
return
if agentType == airLaunch:
if agent.activeState.active != False:
return
if agentType == BlessingOfDexterity:
if agent.activeState.active != False:
return
if agentType == Wings_Of_Justice:
if agent.activeState.active != False:
return
if agentType == DivineGrace:
if agent.activeState.active != False:
return
if agentType == RighteousVolley:
if agent.activeState.active != False:
return
fastesthit = find_soonest_hit(agent)
hit = fastesthit
openNet = openGoalOpportunity(agent)
agent.openGoal = openNet
agent.timid = False
scared = False
tempDelay = hit.prediction_time - agent.gameInfo.seconds_elapsed
if tempDelay >= agent.enemyBallInterceptDelay - agent.contestedTimeLimit:
if agent.enemyAttacking:
agent.contested = True
if (
distance2D(hit.pred_vector, myGoalLoc) <= 2000
or distance2D(agent.enemyTargetVec, myGoalLoc) <= 2000
or ballDistanceFromGoal <= 2000
):
if agent.enemyAttacking:
agent.contested = True
agent.timid = False
scared = False
if hit.hit_type == 5:
if agentType != Wings_Of_Justice:
agent.activeState = hit.aerialState
return
if not agent.onSurface:
if agent.me.location[2] > agent.recovery_height:
if agentType != DivineGrace:
agent.activeState = DivineGrace(agent)
return
else:
agent.activeState = PreemptiveStrike(agent)
def team_synergy(agent):
agentType = type(agent.activeState)
if agentType != PreemptiveStrike:
if not kickOffTest(agent):
if locked_in(agent, agentType):
return
my_goal = Vector([0, 5200 * sign(agent.team), 200])
inclusive_team = agent.allies[:]
inclusive_team.append(agent.me)
inclusive_team = sorted(inclusive_team, key=lambda x: x.index)
ballDistanceFromGoal = distance2D(my_goal, agent.ball.location)
carDistanceFromGoal = distance2D(my_goal, agent.me.location)
current_ball_position = agent.ball.location
offensive = current_ball_position[1] * sign(agent.team) > 0
team_info = []
if agent.dribbling:
if agentType != AngelicEmbrace:
agent.activeState = AngelicEmbrace(agent)
return
for tm in inclusive_team:
# if agent.team == 1:
if tm.location[1] * sign(agent.team) > current_ball_position[1] * sign(
agent.team
):
dist = distance2D(tm.location, current_ball_position)
# if offensive:
# if player_retreat_status(tm,agent.team):
# dist+=1500
# if agent.ball.location[0] > 1000:
# if tm.location[0] >= agent.ball.location[0]:
# dist = clamp(dist, 0, dist - 1000)
# elif agent.ball.location[0] < -1000:
# if tm.location[0] <= agent.ball.location[0]:
# dist = clamp(dist, 0, dist - 1000)
else:
dist = distance2D(tm.location, my_goal) * 2
team_info.append((tm, dist))
rotations = sorted(team_info, key=lambda x: x[1])
if agent.me.location == rotations[0][0].location:
agent.rotationNumber = 1
elif agent.me.location == rotations[1][0].location:
agent.rotationNumber = 2
else:
agent.rotationNumber = 3
# if agent.hits[4] != None:
# print(f"agent {agent.index} found an aerial target! {agent.time}")
if agent.rotationNumber != 1 and agent.rotationNumber != 2:
if agent.hits[4] != None:
agent.currentHit = agent.hits[4]
agent.ballDelay = agent.currentHit.time_difference()
if agentType != Wings_Of_Justice:
agent.activeState = agent.hits[4].aerialState # .create_copy()
# agent.log.append(f"Going for aerial! {agent.time}")
return
agent.currentHit = find_soonest_hit(agent)
agent.ballDelay = agent.currentHit.time_difference()
if agentType == DivineGrace:
if agent.activeState.active != False:
return
if not agent.onSurface:
if agent.me.location[2] > agent.recovery_height:
if agentType != DivineGrace:
agent.activeState = DivineGrace(agent)
return
if agentType != BlessingOfSafety:
agent.activeState = BlessingOfSafety(agent)
return
boostOpportunity = inCornerWithBoost(agent)
if boostOpportunity != False:
if agent.me.boostLevel <= 50:
getBoost = False
if agent.team == 0:
if boostOpportunity[1] == 0 or boostOpportunity[1] == 1:
getBoost = True
else:
if boostOpportunity[1] == 2 or boostOpportunity[1] == 3:
getBoost = True
if getBoost:
if agentType != HeavenylyReprieve:
agent.activeState = HeavenylyReprieve(
agent, boostOpportunity[0]
)
return
if agent.rotationNumber == 2:
if agent.hits[4] != None:
agent.currentHit = agent.hits[4]
agent.ballDelay = agent.currentHit.time_difference()
if agentType != Wings_Of_Justice:
agent.activeState = agent.hits[4].aerialState # .create_copy()
# agent.log.append(f"Going for aerial! {agent.time}")
return
else:
agent.currentHit = find_soonest_hit(agent)
agent.ballDelay = agent.currentHit.time_difference()
if agentType == DivineGrace:
if agent.activeState.active != False:
return
if not agent.onSurface:
if agent.me.location[2] > agent.recovery_height:
if agentType != DivineGrace:
agent.activeState = DivineGrace(agent)
return
if agentType != BlessingOfSafety:
agent.activeState = BlessingOfSafety(agent)
return
fastesthit = find_soonest_hit(agent)
hit = fastesthit
openNet = openGoalOpportunity(agent)
agent.openGoal = openNet
tempDelay = hit.prediction_time - agent.gameInfo.seconds_elapsed
if tempDelay >= agent.enemyBallInterceptDelay - agent.contestedTimeLimit:
if agent.enemyAttacking:
agent.contested = True
if hit.hit_type == 5:
# print(f"going for aerial {agent.time}")
if agentType != Wings_Of_Justice:
agent.activeState = hit.aerialState # .create_copy()
# agent.log.append(f"Going for aerial! {agent.time}")
return
if agentType == DivineGrace:
if agent.activeState.active != False:
return
if not agent.onSurface:
if agent.me.location[2] > agent.recovery_height:
if agentType != DivineGrace:
agent.activeState = DivineGrace(agent)
return
if butterZone(hit.pred_vector):
agent.contested = True
agent.enemyAttacking = True
if agent.goalPred != None:
agent.contested = True
agent.enemyAttacking = True
goalward = ballHeadedTowardsMyGoal_testing(agent, hit)
agent.goalward = goalward
# if not agent.contested and not goalward:
# if hit.hit_type == 4:
# if agent.hits[1] != None:
# if not butterZone(hit.pred_vector):
# temptime = agent.hits[1].prediction_time - agent.time
# if (
# temptime
# < agent.enemyBallInterceptDelay
# - agent.contestedTimeLimit
# ):
# hit = agent.hits[1]
#
# elif hit.hit_type == 1:
# if agent.hits[0] != None:
# if not butterZone(hit.pred_vector):
# if agent.me.boostLevel > 30:
# temptime = agent.hits[0].prediction_time - agent.time
# if (
# temptime
# < agent.enemyBallInterceptDelay
# - agent.contestedTimeLimit
# ):
# hit = agent.hits[0]
if not agent.contested:
if hit.hit_type == 4:
if agent.hits[1] != None:
if hit.pred_vel[1] * -sign(agent.team) >= 1:
if not butterZone(hit.pred_vector):
temptime = agent.hits[1].prediction_time - agent.time
if (
temptime
< agent.enemyBallInterceptDelay
- agent.contestedTimeLimit
):
hit = agent.hits[1]
if hit.hit_type == 1:
if agent.hits[0] != None:
if agent.hits[0].pred_vel[1] * -sign(agent.team) >= 1:
if not butterZone(hit.pred_vector):
if agent.me.boostLevel > 30:
temptime = (
agent.hits[0].prediction_time - agent.time
)
if (
temptime
< agent.enemyBallInterceptDelay
- agent.contestedTimeLimit
):
hit = agent.hits[0]
if hit.hit_type == 5:
# print(f"going for aerial {agent.time}")
if agentType != Wings_Of_Justice:
agent.activeState = hit.aerialState # .create_copy()
# agent.log.append(f"Going for aerial! {agent.time}")
return
if carDistanceFromGoal > ballDistanceFromGoal:
if agentType != HolyProtector:
agent.activeState = HolyProtector(agent)
return
agent.currentHit = hit
agent.ballDelay = hit.prediction_time - agent.gameInfo.seconds_elapsed
# if agent.team == 1:
# catchViable = ballCatchViable(agent)
# else:
catchViable = False
if goalward:
if hit.hit_type != 2:
if agentType != HolyProtector:
agent.activeState = HolyProtector(agent)
return
else:
if agentType != ScaleTheWalls:
agent.activeState = ScaleTheWalls(agent)
return
else:
if catchViable:
if not agent.dribbling:
agent.currentHit = agent.hits[1]
agent.ballDelay = agent.currentHit.time_difference()
if agent.activeState != Celestial_Arrest:
agent.activeState = Celestial_Arrest(agent)
return
if hit.hit_type == 0: # hit.pred_vector[2] <= agent.groundCutOff:
if agentType != GroundAssault:
agent.activeState = GroundAssault(agent)
return
elif hit.hit_type == 1:
if agentType != HolyGrenade:
agent.activeState = HolyGrenade(agent)
return
elif hit.hit_type == 4:
if agentType != HolyGrenade:
agent.activeState = HolyGrenade(agent)
# print("would have been wallshot before")
return
elif hit.hit_type == 2:
if agentType != ScaleTheWalls:
agent.activeState = ScaleTheWalls(agent)
return
else:
agent.log.append(f"condition leaked through! {hit.hit_type}")
else:
agent.activeState = PreemptiveStrike(agent)
def newTeamStateManager(agent):
agentType = type(agent.activeState)
if agentType != PreemptiveStrike:
if not kickOffTest(agent):
myGoalLoc = Vector([0, 5200 * sign(agent.team), 200])
enemyGoalLoc = Vector([0, 5200 * -sign(agent.team), 200])
ballDistanceFromGoal = distance2D(myGoalLoc, agent.ball.location)
carDistanceFromGoal = distance2D(myGoalLoc, agent.me.location)
if locked_in(agent, agentType):
return
fastesthit = agent.sorted_hits[0] #find_soonest_hit(agent)
hit = fastesthit
openNet = openGoalOpportunity(agent)
agent.openGoal = openNet
agent.timid = False
scared = False
tempDelay = hit.prediction_time - agent.gameInfo.seconds_elapsed
# if not agent.dribbling:
# agent.enemyAttacking = True
if tempDelay >= agent.enemyBallInterceptDelay - agent.contestedTimeLimit:
if agent.enemyAttacking:
agent.contested = True
# agent.enemyAttacking = True
if agent.goalPred != None:
agent.contested = True
agent.enemyAttacking = True
if butterZone(hit.pred_vector):
agent.contested = True
agent.enemyAttacking = True
if hit.hit_type == 5:
# print(f"going for aerial {agent.time}")
if not agent.onSurface:
if agentType != Wings_Of_Justice:
agent.activeState = hit.aerialState # .create_copy()
# agent.log.append(f"Going for aerial! {agent.time}")
return
if agentType == DivineGrace:
if agent.activeState.active != False:
return
if not agent.onSurface:
if agent.me.location[2] > agent.recovery_height:
if agentType != DivineGrace:
agent.activeState = DivineGrace(agent)
return
lastMan = agent.lastMan
#catchViable = ballCatchViable(agent)
catchViable = False
# if agent.team == 1:
# catchViable = ballCatchViable(agent)
inclusive_team = agent.allies[:]
inclusive_team.append(agent.me)
inclusive_team = sorted(inclusive_team, key=lambda x: x.index)
offensive = agent.ball.location[1] * -sign(agent.team) > 0
if agent.team ==3:
#if True:
rotations = assign_rotations(inclusive_team, agent.ball.location, lastMan)
if agent.me.location == rotations[0].location:
man = 1
elif agent.me.location == rotations[1].location:
man = 2
else:
man = 3
#agent.rotationNumber=man
else:
man = 1
if agent.me.location[1] * sign(agent.team) < hit.pred_vector[1] * sign(
agent.team
):
if agent.me.location != lastMan:
#if hit.pred_vector[1] * sign(agent.time) < 4000:
man = len(agent.allies) + 1
if offensive:
if retreating_tally(agent.allies) != len(agent.allies):
if agent.me.retreating:
if agent.me.location != lastMan:
if distance2D(hit.pred_vector, myGoalLoc) > 2000:
man = len(agent.allies) + 1
if man != len(agent.allies) + 1:
myDist = distance2D(agent.me.location, agent.ball.location)
for ally in agent.allies:
if not ally.demolished:
if ally.location[1] * sign(agent.team) > agent.ball.location[1] * sign(agent.team):
allyDist = distance2D(ally.location, agent.ball.location)
if allyDist < myDist:
if not ally.retreating:
man += 1
man = clamp(3, 1, man)
if False:
#if not agent.contested and agent.lastMan != agent.me.location and man == 1 and hit.hit_type != 0 and agent.goalPred == None and not ballHeadedTowardsMyGoal_testing(agent, hit) and not agent.ignore_kickoffs:# and agent.team == 1:
chrono_hits = agent.sorted_hits
prev_hit = hit
for h in chrono_hits:
# if h.time_difference() < 1:
# break
if h.hit_type == 5:
continue
if distance2D(h.pred_vector,enemyGoalLoc) >= distance2D(agent.me.location,enemyGoalLoc):
break
if h.pred_vel[1] * -sign(agent.team) >= 1:
if not butterZone(prev_hit.pred_vector):
temptime = h.time_difference()
if (
temptime
< agent.enemyBallInterceptDelay
- agent.contestedTimeLimit
):
hit = h
else:
break
else:
break
prev_hit = h
hit = prev_hit
agent.ballDelay = hit.time_difference()
if man == 2:
if agent.lastMan != agent.me.location:
if hit.pred_vector[1]* -sign(agent.team) > 4000 * -sign(agent.team):
if butterZone(hit.pred_vector):
if hit.time_difference() < agent.enemyBallInterceptDelay or (hit.time_difference() < 2 and agent.lastMan[1] * sign(agent.team) > 0 and agent.team == 0):
man = 1
agent.log.append(
f"risking it for the biscuit! {agent.time} {agent.team}"
)
agent.rotationNumber = man
goalward = ballHeadedTowardsMyGoal_testing(agent, hit)
agent.goalward = goalward
agent.currentHit = hit
agent.ballDelay = hit.time_difference()
agent.ballGrounded = False
if hit.hit_type == 2:
agent.wallShot = True
agent.ballGrounded = False
else:
agent.wallShot = False
if hit.hit_type == 1:
if hit.pred_vector[2] <= agent.groundCutOff:
agent.ballGrounded = True
else:
agent.ballGrounded = False
createBox(agent, hit.pred_vector)
if agent.dribbling:
if agentType != AngelicEmbrace:
agent.activeState = AngelicEmbrace(agent)
return
boostOpportunity = inCornerWithBoost(agent)
if boostOpportunity != False:
if agent.me.boostLevel <= 50:
getBoost = False
if agent.team == 0:
if boostOpportunity[1] == 0 or boostOpportunity[1] == 1:
getBoost = True
else:
if boostOpportunity[1] == 2 or boostOpportunity[1] == 3:
getBoost = True
if getBoost:
if agentType != HeavenylyReprieve:
agent.activeState = HeavenylyReprieve(
agent, boostOpportunity[0]
)
return
if agent.ignore_kickoffs:
if distance2D(hit.pred_vector, myGoalLoc) > 3000:
if agent.activeState != HeetSeekerDefense:
agent.activeState = HeetSeekerDefense(agent)
return
if agent.goalie:
if agent.activeState != Goalie:
agent.activeState = Goalie(agent)
return
if man == 1:
if catchViable:
if not agent.dribbling:
#if agent.hits[1].pred_vel[1] * -sign(agent.team) >= 1:
agent.currentHit = agent.hits[1]
agent.ballDelay = agent.currentHit.time_difference()
if agent.activeState != Celestial_Arrest:
agent.activeState = Celestial_Arrest(agent)
return
if carDistanceFromGoal > ballDistanceFromGoal:
if agentType != HolyProtector:
agent.activeState = HolyProtector(agent)
return
# if agent.contested and agent.enemyBallInterceptDelay +.2 < hit.time_difference() and agent.goalPred == None:
# if agent.team == 1:
# if agentType != Holy_Shield:
# agent.activeState = Holy_Shield(agent)
# return
if goalward:
if hit.hit_type != 2:
if agentType != HolyProtector:
agent.activeState = HolyProtector(agent)
return
else:
if agentType != ScaleTheWalls:
agent.activeState = ScaleTheWalls(agent)
return
else:
if hit.hit_type == 0: # hit.pred_vector[2] <= agent.groundCutOff:
if agentType != GroundAssault:
agent.activeState = GroundAssault(agent)
return
elif hit.hit_type == 1:
if agentType != HolyGrenade:
agent.activeState = HolyGrenade(agent)
return
elif hit.hit_type == 4:
if agentType != HolyGrenade:
agent.activeState = HolyGrenade(agent)
# print("would have been wallshot before")
return
elif hit.hit_type == 2:
if agentType != ScaleTheWalls:
agent.activeState = ScaleTheWalls(agent)
return
elif hit.hit_type == 5:
if agentType != Wings_Of_Justice:
agent.activeState = hit.aerialState # .create_copy()
# agent.log.append(f"Going for aerial! {agent.time}")
return
else:
agent.log.append(f"condition leaked through! {hit.hit_type}")
else:
#if agent.team == 0:
# if agent.ball.location[1] * sign(agent.team) >= 0:
# if agent.lastMan == agent.me.location:
# if agentType != WardAgainstEvil:
# agent.activeState = WardAgainstEvil(agent)
# return
if agentType != BlessingOfSafety:
agent.activeState = BlessingOfSafety(agent)
return
else:
agent.activeState = PreemptiveStrike(agent)
# def newTeamStateManager(agent):
# agentType = type(agent.activeState)
# if agentType != PreemptiveStrike:
#
# if not kickOffTest(agent):
# myGoalLoc = Vector([0, 5200 * sign(agent.team), 200])
# enemyGoalLoc = Vector([0, 5200 * -sign(agent.team), 200])
#
# ballDistanceFromGoal = distance2D(myGoalLoc, agent.ball.location)
# carDistanceFromGoal = distance2D(myGoalLoc, agent.me.location)
#
# if locked_in(agent, agentType):
# return
#
# fastesthit = find_soonest_hit(agent)
# hit = fastesthit
#
# openNet = openGoalOpportunity(agent)
# agent.openGoal = openNet
# agent.timid = False
# scared = False
# tempDelay = hit.prediction_time - agent.gameInfo.seconds_elapsed
# # if not agent.dribbling:
# # agent.enemyAttacking = True
#
# if tempDelay >= agent.enemyBallInterceptDelay - agent.contestedTimeLimit:
# if agent.enemyAttacking:
# agent.contested = True
# # agent.enemyAttacking = True
#
# if agent.goalPred != None:
# agent.contested = True
# agent.enemyAttacking = True
#
# if butterZone(hit.pred_vector):
# agent.contested = True
# agent.enemyAttacking = True
#
# if hit.hit_type == 5:
# # print(f"going for aerial {agent.time}")
# if not agent.onSurface:
# if agentType != Wings_Of_Justice:
# agent.activeState = hit.aerialState # .create_copy()
# # agent.log.append(f"Going for aerial! {agent.time}")
# return
#
# if agentType == DivineGrace:
# if agent.activeState.active != False:
# return
#
# if not agent.onSurface:
# if agent.me.location[2] > 220:
# if agentType != DivineGrace:
# agent.activeState = DivineGrace(agent)
# return
#
# lastMan = agent.lastMan
# # determine which man in rotation I am #1, #2, #3, forward
# man = 1
# # if agent.me.location[1] * sign(agent.team) < agent.ball.location[1] * sign(agent.team):
# if agent.me.location[1] * sign(agent.team) < hit.pred_vector[1] * sign(
# agent.team
# ):
# if agent.me.location != lastMan:
# man = len(agent.allies) + 1
# offensive = agent.ball.location[1] * -sign(agent.team) > 0
# if offensive:
# if retreating_tally(agent.allies) != len(agent.allies):
# if agent.me.retreating:
# if agent.me.location != lastMan:
# if distance2D(hit.pred_vector, myGoalLoc) > 2000:
# man = len(agent.allies) + 1
#
# if man != len(agent.allies) + 1:
#
# myDist = distance2D(agent.me.location, agent.ball.location)
# for ally in agent.allies:
# if not ally.demolished:
# # if not offensive:
# # if ally.location == lastMan:
# # if agent.team == 0:
# # continue
# if ally.location[1] * sign(agent.team) > agent.ball.location[1] * sign(agent.team):
# allyDist = distance2D(ally.location, agent.ball.location)
# if allyDist < myDist:
# #if ally.location != agent.lastMan and agent.ball.location[1] * sign(agent.team) < 0:
# if not ally.retreating:
# #if agent.ball.location[1] * -sign(agent.team) < 0:
# man += 1
#
# man = clamp(3, 1, man)
#
# # if man == 1 or man == 2:
# # if hit.hit_type == 5:
# # # print(f"going for aerial {agent.time}")
# # if agentType != Wings_Of_Justice:
# # agent.activeState = hit.aerialState # .create_copy()
# # # agent.log.append(f"Going for aerial! {agent.time}")
# # return
#
# # if agent.team == 1:
# # print(agent.index,man)
# catchViable = False
# # if agent.team == 1:
# # catchViable = False
# # else:
# # catchViable = ballCatchViable(agent)
# #if agent.team == 0:
# #if True:
# if not agent.contested and agent.lastMan != agent.me.location and man == 1 and agent.team == 0:
# chrono_hits = SortHits(agent.hits)
# prev_hit = hit
# for h in chrono_hits:
# if h.time_difference() < 1:
# break
#
# if distance2D(h.pred_vector,enemyGoalLoc) >= distance2D(agent.me.location,enemyGoalLoc):
# break
# if h.pred_vel[1] * -sign(agent.team) >= 1:
# if not butterZone(prev_hit.pred_vector):
# temptime = h.time_difference()
# if (
# temptime
# < agent.enemyBallInterceptDelay
# - agent.contestedTimeLimit
# ):
# hit = h
# else:
# break
# else:
# break
# prev_hit = h
#
# hit = prev_hit
# agent.ballDelay = hit.time_difference()
#
# # print(f"bot: {agent.index} man: {man} {agent.time}")
#
# if man != 1:
# if man < len(agent.allies):
# if hit.pred_vector[1] < 4000 * -sign(agent.team):
# if butterZone(hit.pred_vector):
# if hit.time_difference() < agent.enemyBallInterceptDelay:
# man = 1
# agent.log.append(
# f"risking it for the biscuit! {agent.time} {agent.index}"
# )
#
# agent.rotationNumber = man
#
# goalward = ballHeadedTowardsMyGoal_testing(agent, hit)
# agent.goalward = goalward
# agent.currentHit = hit
# agent.ballDelay = hit.time_difference()
# agent.ballGrounded = False
#
# if hit.hit_type == 2:
# agent.wallShot = True
# agent.ballGrounded = False
# else:
# agent.wallShot = False
# if hit.hit_type == 1:
# if hit.pred_vector[2] <= agent.groundCutOff:
# agent.ballGrounded = True
# else:
# agent.ballGrounded = False
#
# createBox(agent, hit.pred_vector)
#
# if agent.dribbling:
# if agentType != AngelicEmbrace:
# agent.activeState = AngelicEmbrace(agent)
# return
#
# boostOpportunity = inCornerWithBoost(agent)
# if boostOpportunity != False:
# if agent.me.boostLevel <= 50:
# getBoost = False
# if agent.team == 0:
# if boostOpportunity[1] == 0 or boostOpportunity[1] == 1:
# getBoost = True
# else:
# if boostOpportunity[1] == 2 or boostOpportunity[1] == 3:
# getBoost = True
# if getBoost:
# if agentType != HeavenylyReprieve:
# agent.activeState = HeavenylyReprieve(
# agent, boostOpportunity[0]
# )
# return
#
# if agent.team == 0 and man == 1 or (agent.team == 1 and man == 1 and agent.ball.location[1] * sign(agent.team) < 0 and agent.lastMan != agent.me.location):
#
# if catchViable:
# if not agent.dribbling:
# if agent.hits[1].pred_vel[1] * -sign(agent.team) >= 1:
# agent.currentHit = agent.hits[1]
# agent.ballDelay = agent.currentHit.time_difference()
# if agent.activeState != Celestial_Arrest:
# agent.activeState = Celestial_Arrest(agent)
# return
#
# if carDistanceFromGoal > ballDistanceFromGoal:
# if agentType != HolyProtector:
# agent.activeState = HolyProtector(agent)
# return
#
# if goalward:
# if hit.hit_type != 2:
# if agentType != HolyProtector:
# agent.activeState = HolyProtector(agent)
# return
# else:
# if agentType != ScaleTheWalls:
# agent.activeState = ScaleTheWalls(agent)
# return
#
# else:
#
# if hit.hit_type == 0: # hit.pred_vector[2] <= agent.groundCutOff:
# if agentType != GroundAssault:
# agent.activeState = GroundAssault(agent)
# return
#
# elif hit.hit_type == 1:
# if agentType != HolyGrenade:
# agent.activeState = HolyGrenade(agent)
# return
#
# elif hit.hit_type == 4:
# if agentType != HolyGrenade:
# agent.activeState = HolyGrenade(agent)
# # print("would have been wallshot before")
# return
#
# elif hit.hit_type == 2:
# if agentType != ScaleTheWalls:
# agent.activeState = ScaleTheWalls(agent)
# return
#
# elif hit.hit_type == 5:
# if agentType != Wings_Of_Justice:
# agent.activeState = hit.aerialState # .create_copy()
# # agent.log.append(f"Going for aerial! {agent.time}")
# return
#
# else:
# agent.log.append(f"condition leaked through! {hit.hit_type}")
#
# else:
# #if agent.team == 0:
# # if agent.ball.location[1] * sign(agent.team) >= 0:
# # if agent.lastMan == agent.me.location:
# # if agentType != WardAgainstEvil:
# # agent.activeState = WardAgainstEvil(agent)
# # return
#
#
# if agentType != BlessingOfSafety:
# agent.activeState = BlessingOfSafety(agent)
# return
#
# else:
# agent.activeState = PreemptiveStrike(agent)
def soloStateManager(agent):
agentType = type(agent.activeState)
if agentType != PreemptiveStrike:
if not kickOffTest(agent):
myGoalLoc = Vector([0, 5200 * sign(agent.team), 200])
ballDistanceFromGoal = distance2D(myGoalLoc, agent.ball)
carDistanceFromGoal = distance2D(myGoalLoc, agent.me)
enemyGoalLoc = Vector([0, 5200 * -sign(agent.team), 200])
# agent.resetTimer += agent.deltaTime
if agentType == LeapOfFaith:
if agent.activeState.active != False:
return
if agentType == airLaunch:
if agent.activeState.active != False:
return
if agentType == BlessingOfDexterity:
if agent.activeState.active != False:
return
if agentType == DivineGrace:
if agent.activeState.active != False:
return
if agentType == RighteousVolley:
if agent.activeState.active != False:
return
hit = find_soonest_hit(agent)
openNet = openGoalOpportunity(agent)
agent.openGoal = openNet
agent.timid = False
scared = False
tempDelay = hit.prediction_time - agent.time
# print(tempDelay)
if tempDelay >= agent.enemyBallInterceptDelay - 0.5:
if agent.enemyAttacking:
agent.contested = True
if tempDelay >= agent.enemyBallInterceptDelay + 1:
if not butterZone(hit.pred_vector):
if ballDistanceFromGoal <= 5000:
agent.timid = True
else:
scared = True
# print(tempDelay,agent.enemyBallInterceptDelay)
# pass
if (
distance2D(hit.pred_vector, myGoalLoc) <= 2000
or distance2D(agent.enemyTargetVec, myGoalLoc) <= 2000
):
agent.contested = True
agent.timid = False
scared = False
# if not agent.contested or not agent.enemyAttacking:
# if agent.hits[0] != None:
# temptime = (
# agent.hits[0].prediction_time - agent.gameInfo.seconds_elapsed
# )
# # if temptime >=1:
# if hit.hit_type != 2:
# # if temptime < agent.enemyBallInterceptDelay - .5:
# hit = agent.hits[0]
#if False:
if not agent.contested:
chrono_hits = agent.sorted_hits
prev_hit = hit
for h in chrono_hits:
if h.time_difference() < 1:
break
if h.hit_type == 5:
continue
if distance2D(h.pred_vector,enemyGoalLoc) >= distance2D(agent.me.location,enemyGoalLoc):
break
if h.pred_vel[1] * -sign(agent.team) >= 1:
if not butterZone(prev_hit.pred_vector):
temptime = h.time_difference()
if (
temptime
< agent.enemyBallInterceptDelay
- agent.contestedTimeLimit
):
hit = h
else:
break
else:
break
prev_hit = h
hit = prev_hit
agent.ballDelay = hit.time_difference()
goalward = ballHeadedTowardsMyGoal_testing(agent, hit)
agent.goalward = goalward
agent.currentHit = hit
agent.ballDelay = hit.prediction_time - agent.time
agent.ballGrounded = False
# print(agent.ballDelay, agent.enemyBallInterceptDelay,agent.contested,agent.timid)
if hit.hit_type == 2:
agent.wallShot = True
agent.ballGrounded = False
else:
agent.wallShot = False
if hit.hit_type == 1:
if hit.pred_vector[2] <= agent.groundCutOff:
agent.ballGrounded = True
else:
agent.ballGrounded = False
createBox(agent, hit.pred_vector)
if agentType == Wings_Of_Justice:
if agent.activeState.active != False:
return
if not agent.onSurface:
if agent.me.location[2] > agent.recovery_height:
if agentType != DivineGrace:
agent.activeState = DivineGrace(agent)
return
if agent.dribbling:
if not goalward:
if agentType != AngelicEmbrace:
agent.activeState = AngelicEmbrace(agent)
return
# else:
# agent.resetTimer += agent.deltaTime
# if agent.resetTimer >= 5:
# agent.resetTimer = 0
# print("setting up dribble training")
# #game_state = GameState()
# #self.set_game_state(game_state)
# ball_state = BallState(Physics(location=Vector3(agent.me.location[0], agent.me.location[1], agent.me.location[2]+160),velocity=Vector3(agent.me.velocity[0],agent.me.velocity[1],agent.me.velocity[2])))
# game_state = GameState(ball=ball_state)
# agent.set_game_state(game_state)
# if agentType != AngelicEmbrace:
# agent.activeState = AngelicEmbrace(agent)
# return
# if agent.timid or scared:
# #print(f"being timid {agent.time}")
# if agentType != WardAgainstEvil:
# agent.activeState = WardAgainstEvil(agent)
# return
# if scared or agent.timid:
# if agentType != BlessingOfSafety:
# agent.activeState = BlessingOfSafety(agent)
# return
if carDistanceFromGoal > ballDistanceFromGoal:
if agentType != HolyProtector:
agent.activeState = HolyProtector(agent)
return
elif goalward:
if hit.hit_type != 2:
if agentType != HolyProtector:
agent.activeState = HolyProtector(agent)
return
else:
if agentType != ScaleTheWalls:
agent.activeState = ScaleTheWalls(agent)
# print("scaling walls")
# print(f"scale the walls defensive {agent.time}")
return
else:
if hit.hit_type == 0:
if agentType != GroundAssault:
agent.activeState = GroundAssault(agent)
return
elif hit.hit_type == 1:
if agentType != HolyGrenade:
agent.activeState = HolyGrenade(agent)
return
elif hit.hit_type == 2:
if agentType != ScaleTheWalls:
agent.activeState = ScaleTheWalls(agent)
return
else:
agent.log.append("we got an eroneous hit_type somehow")
agent.log.append("rawr")
else:
agent.activeState = PreemptiveStrike(agent)
def soloStateManager_testing(agent):
agentType = type(agent.activeState)
if agentType != PreemptiveStrike:
if not kickOffTest(agent):
myGoalLoc = Vector([0, 5200 * sign(agent.team), 200])
enemyGoalLoc = Vector([0, 5200 * -sign(agent.team), 200])
ballDistanceFromGoal = distance2D(myGoalLoc, agent.ball)
carDistanceFromGoal = distance2D(myGoalLoc, agent.me)
# agent.resetTimer += agent.deltaTime
if locked_in(agent, agentType):
return
hit = agent.sorted_hits[0] #find_soonest_hit(agent)
#print(hit)
if agent.goalPred != None:
agent.enemyAttacking = True
openNet = openGoalOpportunity(agent)
agent.openGoal = openNet
agent.timid = False
scared = False
tempDelay = hit.time_difference()
# print(tempDelay)
# print(agent.enemyBallInterceptDelay)
if tempDelay >= agent.enemyBallInterceptDelay - agent.contestedTimeLimit:
if agent.enemyAttacking:
# agent.enemyAttacking = True
agent.contested = True
# else:
# print(f"{tempDelay} {agent.enemyBallInterceptDelay}")
if (
distance2D(hit.pred_vector, myGoalLoc) <= 2000
or distance2D(agent.enemyTargetVec, myGoalLoc) <= 2000
or ballDistanceFromGoal <= 2000
):
if agent.enemyAttacking:
agent.contested = True
agent.timid = False
scared = False
# agent.enemyAttacking = True
if agent.goalPred != None:
agent.contested = True
agent.enemyAttacking = True
# if not agent.contested and not butterZone(hit.pred_vector) and not ballHeadedTowardsMyGoal_testing(agent, hit):
# chrono_hits = SortHits(agent.hits)
# prev_hit = hit
# for h in chrono_hits:
# # if h.time_difference() < 1:
# # break
# if ballHeadedTowardsMyGoal_testing(agent, h):
# continue
#
# if h.hit_type == 5:
# continue
#
# # if distance2D(h.pred_vector,enemyGoalLoc) >= distance2D(agent.me.location,enemyGoalLoc):
# # break
# if h.pred_vel[1] * -sign(agent.team) >= 1:
# if not butterZone(prev_hit.pred_vector):
# temptime = h.time_difference()
# if (
# temptime
# < agent.enemyBallInterceptDelay
# - agent.contestedTimeLimit
# ):
# hit = h
# else:
# break
# else:
# break
# prev_hit = h
#
# hit = prev_hit
# agent.ballDelay = hit.time_difference()
# if agent.team == 0:
if not agent.contested and not agent.ignore_kickoffs:
if hit.hit_type == 4:
if agent.hits[1] != None:
if not butterZone(hit.pred_vector):
temptime = agent.hits[1].prediction_time - agent.time
if (
temptime
< agent.enemyBallInterceptDelay - agent.contestedTimeLimit
# and hit.time_difference() > 1
):
hit = agent.hits[1]
if hit.hit_type == 1:
if agent.hits[0] != None:
if not butterZone(hit.pred_vector):
temptime = agent.hits[0].prediction_time - agent.time
if (
temptime
< agent.enemyBallInterceptDelay - agent.contestedTimeLimit
# and hit.time_difference() > 1
):
# if not ballHeadedTowardsMyGoal_testing(agent, agent.hits[0]):
hit = agent.hits[0]
# if agent.hits[0] != None:
# if hit.hit_type != 2:
# temptime = agent.hits[0].prediction_time - agent.time
# # if temptime >=1:
#
# if temptime < agent.enemyBallInterceptDelay - agent.contestedTimeLimit:
# if not ballHeadedTowardsMyGoal_testing(agent, agent.hits[0]):
# hit = agent.hits[0]
# if agent.index == 1:
# print(agent.gameInfo.is_kickoff_pause)
# if agent.gameInfo.is_kickoff_pause and agent.ignore_kickoffs:
# if agent.index == 1:
# print("in here")
# if distance2D(agent.me.location,agent.ball.location) < 5000:
# agent.currentHit = agent.sorted_hits[0]
# agent.ballDelay = agent.currentHit.time_difference()
# if agent.activeState != HolyGrenade:
# agent.activeState= HolyGrenade(agent)
# return
catchViable = False #ballCatchViable(agent)
if hit.hit_type == 2:
agent.wallShot = True
else:
agent.wallShot = False
createBox(agent, hit.pred_vector)
if hit.hit_type == 5:
if agentType != Wings_Of_Justice:
agent.activeState = hit.aerialState
return
if not agent.onSurface:
if agent.me.location[2] > agent.recovery_height:
if agentType != DivineGrace:
agent.activeState = DivineGrace(agent)
return
if agent.dribbling:
# if not goalward:
if agentType != AngelicEmbrace:
agent.activeState = AngelicEmbrace(agent)
return
goalward = ballHeadedTowardsMyGoal_testing(agent, hit)
agent.goalward = goalward
agent.currentHit = hit
agent.ballDelay = hit.prediction_time - agent.time
boostOpportunity = inCornerWithBoost(agent)
if boostOpportunity != False:
if agent.me.boostLevel <= 50:
getBoost = False
if agent.team == 0:
if boostOpportunity[1] == 0 or boostOpportunity[1] == 1:
getBoost = True
else:
if boostOpportunity[1] == 2 or boostOpportunity[1] == 3:
getBoost = True
if getBoost:
if agentType != HeavenylyReprieve:
agent.activeState = HeavenylyReprieve(
agent, boostOpportunity[0]
)
return
if agent.goalie:
if agent.activeState != Goalie:
agent.activeState = Goalie(agent)
return
if agent.ignore_kickoffs:
if distance2D(hit.pred_vector, myGoalLoc) > 3000:
if agent.activeState != HeetSeekerDefense:
agent.activeState = HeetSeekerDefense(agent)
return
if carDistanceFromGoal > ballDistanceFromGoal:
if agentType != HolyProtector:
agent.activeState = HolyProtector(agent)
return
if goalward:
if hit.hit_type != 2:
if agentType != HolyProtector:
agent.activeState = HolyProtector(agent)
return
else:
if agentType != ScaleTheWalls:
agent.activeState = ScaleTheWalls(agent)
return
else:
# if hit.hit_type == 0: #hit.pred_vector[2] <= agent.groundCutOff:
# if agentType != GroundAssault:
# agent.activeState = GroundAssault(agent)
# return
#
# elif hit.hit_type == 1 or hit.hit_type == 4:
# if agentType != HolyGrenade:
# agent.activeState = HolyGrenade(agent)
# return
#
# else:
# if agentType != ScaleTheWalls:
# agent.activeState = ScaleTheWalls(agent)
# return
if catchViable:
# if agent.team == 1:
hit = agent.hits[1]
goalward = False
agent.goalward = False
agent.currentHit = hit
agent.ballDelay = hit.prediction_time - agent.time
agent.ballGrounded = False
if agent.activeState != Celestial_Arrest:
agent.activeState = Celestial_Arrest(agent)
agent.log.append(f"catching? {agent.time}")
return
if hit.hit_type == 0: # hit.pred_vector[2] <= agent.groundCutOff:
if agentType != GroundAssault:
agent.activeState = GroundAssault(agent)
return
elif hit.hit_type == 1:
if agentType != HolyGrenade:
agent.activeState = HolyGrenade(agent)
return
elif hit.hit_type == 4:
if agentType != HolyGrenade:
agent.activeState = HolyGrenade(agent)
# print("would have been wallshot before")
return
elif hit.hit_type == 2:
if agentType != ScaleTheWalls:
agent.activeState = ScaleTheWalls(agent)
return
else:
agent.log.append(f"condition leaked through! {hit.hit_type}")
else:
agent.activeState = PreemptiveStrike(agent)
def guidanceTesting(agent):
# print("in guidance testing")
if type(agent.activeState) != DivineGuidance:
agent.activeState = DivineGuidance(agent, agent.ball.location)
if agent.onSurface:
if not agent.activeState.active:
agent.activeState = DivineGuidance(agent, agent.ball.location)
# def aerialTesting(agent):
# if agent.activeState == None or not agent.activeState.active:
# center = Vector([0, 5200 * -sign(agent.team), 0])
# _offset = agent.reachLength
#
# picked = agent.ballPred.slices[agent.ballPred.num_slices-1]
# pred = agent.ballPred.slices[0]
# selected = False
# for i in range(0, agent.ballPred.num_slices):
# if i > 60 and i % 3 != 0:
# continue
#
# pred = agent.ballPred.slices[i]
# tth = pred.game_seconds - agent.gameInfo.seconds_elapsed
#
# if tth <= 0:
# continue
# pred_vec = convertStructLocationToVector(pred)
# pred_vel = convertStructVelocityToVector(pred)
#
# _direction = direction(
# pred_vec, center.flatten()
# )
#
# target = pred_vec + _direction.scale(agent.reachLength * 0.9)
# req_delta_a = calculate_delta_acceleration(target-agent.me.location, agent.me.velocity,
# tth, agent.gravity)
# req_delta_v = req_delta_a.magnitude()*tth
# if req_delta_v < agent.available_delta_v and req_delta_a.magnitude() < 1060:
# agent.activeState = Wings_Of_Justice(agent,pred, target, tth)
# selected = True
# break
# if not selected:
# agent.activeState = Wings_Of_Justice(agent, picked, convertStructLocationToVector(picked), 6)
def reset_aerial_test(agent):
ball_state = BallState(
physics=Physics(
velocity=Vector3(
z=random.randrange(500, 1000),
x=random.randrange(-100, 100),
y=random.randrange(-100, 100),
),
location=Vector3(random.randrange(-100, 100),
random.randrange(-100, 100),
random.randrange(1200, 1750))
)
)
car_state = CarState(
physics=Physics(velocity=Vector3(z=0, x=0, y=0), location=Vector3(random.randrange(-1500, 1500),
sign(agent.team) * random.randrange(1500,2500),
50),rotation=agent.defaultRotation))
game_state = GameState(ball=ball_state,cars={agent.index: car_state})
agent.set_game_state(game_state)
agent.activeState = None
def aerialTesting(agent):
if agent.ball.location[2] < 110:
reset_aerial_test(agent)
if agent.activeState == None or not agent.activeState.active:
center = Vector([0, 5200 * -sign(agent.team), 0])
_offset = agent.reachLength
picked = agent.ballPred.slices[agent.ballPred.num_slices-1]
pred = agent.ballPred.slices[0]
selected = False
for i in range(0, agent.ballPred.num_slices):
if i > 60 and i % 3 != 0:
continue
pred = agent.ballPred.slices[i]
tth = pred.game_seconds - agent.gameInfo.seconds_elapsed
if tth <= 0:
continue
pred_vec = convertStructLocationToVector(pred)
pred_vel = convertStructVelocityToVector(pred)
if pred_vec[2] < 600:
break
_direction = direction(
pred_vec, center.flatten()
)
target = pred_vec + _direction.scale(agent.reachLength * 0.9)
aerial_accepted = False
if agent.onSurface:
#if (inaccurateArrivalEstimator(agent, pred_vec, False, offset=_offset) + 1 < tth):
delta_a = calculate_delta_acceleration(target - agent.me.location,
agent.me.velocity + agent.up.scale(600),
tth, agent.gravity)
if delta_a.magnitude() <= 900:
aerial_accepted = True
else:
approach_direction = direction(agent.me.location.flatten(), pred_vec.flatten()).normalize()
pseudo_position = pred_vec.flatten() - approach_direction.scale(pred_vec[2])
req_delta_a = calculate_delta_acceleration(pseudo_position - agent.me.location,
approach_direction.scale(1800) + agent.up.scale(500),
tth, agent.gravity)
req_delta_v = req_delta_a.magnitude() * tth
if req_delta_v < agent.available_delta_v - 50 and req_delta_a.magnitude() < 1000:
aerial_accepted = True
else:
delta_a = calculate_delta_acceleration(target - agent.me.location, agent.me.velocity,
tth, agent.gravity)
if delta_a.magnitude() < 950:
req_delta_v = delta_a.magnitude() * tth
if req_delta_v < agent.available_delta_v - 50:
aerial_accepted = True
if aerial_accepted:
agent.activeState = Wings_Of_Justice(agent, pred, target, tth)
selected = True
break
if not selected:
#agent.activeState = Wings_Of_Justice(agent, picked, convertStructLocationToVector(picked), 6)
agent.activeState = DivineGrace(agent)
def dribbleTesting(agent):
agent.activeState = AngelicEmbrace(agent)
if agent.dribbling:
return
else:
agent.resetTimer += agent.deltaTime
if agent.resetTimer >= 5:
agent.resetTimer = 0
agent.log.append("setting up dribble training")
# game_state = GameState()
# self.set_game_state(game_state)
ball_state = BallState(
Physics(
location=Vector3(
agent.me.location[0],
agent.me.location[1],
agent.me.location[2] + 160,
),
velocity=Vector3(
agent.me.velocity[0] * 0.8,
agent.me.velocity[1] * 0.8,
agent.me.velocity[2],
),
)
)
game_state = GameState(ball=ball_state)
agent.set_game_state(game_state)
# if agentType != AngelicEmbrace:
# agent.activeState = AngelicEmbrace(agent)
return
def orientationStateManager(agent):
if agent.ball.location < 110:
agent.log.append("resetting orientations")
car_state = CarState(
physics=Physics(velocity=Vector3(z=0, x=0, y=0), location=Vector3(0, 0, 20))
)
game_state = GameState(cars={agent.index: car_state})
agent.set_game_state(game_state)
if agent.dribbling:
if type(agent.activeState) != AngelicEmbrace:
agent.activeState = AngelicEmbrace(agent)
return
else:
agent.activeState
# return agent.activeState
def dummyState(agent):
if type(agent.activeState) != Player_reporter:
agent.activeState = Player_reporter(agent)
| 38.605945
| 241
| 0.500791
| 13,096
| 141,568
| 5.324068
| 0.052153
| 0.06312
| 0.021729
| 0.01417
| 0.801101
| 0.748724
| 0.715937
| 0.681315
| 0.665797
| 0.63846
| 0
| 0.024144
| 0.409888
| 141,568
| 3,666
| 242
| 38.616476
| 0.810464
| 0.346858
| 0
| 0.683965
| 0
| 0.001038
| 0.008812
| 0.00188
| 0
| 0
| 0
| 0
| 0
| 1
| 0.042034
| false
| 0.000519
| 0.003114
| 0.006746
| 0.157239
| 0.001038
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 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
| 4
|
94b41e08465cde8ed5840760e1873e0d2346998f
| 219
|
py
|
Python
|
resources/__init__.py
|
Pedroglp/flask-login
|
d85de3450106f5ead3c15bcb91279dd55e25e936
|
[
"MIT"
] | null | null | null |
resources/__init__.py
|
Pedroglp/flask-login
|
d85de3450106f5ead3c15bcb91279dd55e25e936
|
[
"MIT"
] | null | null | null |
resources/__init__.py
|
Pedroglp/flask-login
|
d85de3450106f5ead3c15bcb91279dd55e25e936
|
[
"MIT"
] | null | null | null |
from resources.ItemResource import ItemResource, ItemsListResource
from resources.UserAPI import SignUpAPI
from resources.ProtectedAPI import ProtectedAPI
from resources.LoginAPI import getAuthToken
__all__ = ['items']
| 36.5
| 66
| 0.863014
| 23
| 219
| 8.043478
| 0.521739
| 0.281081
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.091324
| 219
| 6
| 67
| 36.5
| 0.929648
| 0
| 0
| 0
| 0
| 0
| 0.022727
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.8
| 0
| 0.8
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
94fecd1817ed40c50fe93e711c1c59818118253e
| 66
|
py
|
Python
|
apps/app-docs/app-pandas-docs/src/installDocs/Running the test suite.py
|
reyou/Ggg.MachineLearning
|
47c40e98ad163ef5b5c6e83cfd41e09f2497522b
|
[
"Apache-2.0"
] | null | null | null |
apps/app-docs/app-pandas-docs/src/installDocs/Running the test suite.py
|
reyou/Ggg.MachineLearning
|
47c40e98ad163ef5b5c6e83cfd41e09f2497522b
|
[
"Apache-2.0"
] | null | null | null |
apps/app-docs/app-pandas-docs/src/installDocs/Running the test suite.py
|
reyou/Ggg.MachineLearning
|
47c40e98ad163ef5b5c6e83cfd41e09f2497522b
|
[
"Apache-2.0"
] | null | null | null |
import sys
print(sys.version_info)
import pandas as pd
pd.test()
| 11
| 23
| 0.772727
| 12
| 66
| 4.166667
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.136364
| 66
| 5
| 24
| 13.2
| 0.877193
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 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
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
94ff6239fdef4030ca1e7176584a3c940e06017d
| 161
|
py
|
Python
|
src/models/UserProfile/forms.py
|
yonathanF/bazaar-clone
|
b878cc818b7e86293256d2abfdbec040b125362d
|
[
"MIT"
] | null | null | null |
src/models/UserProfile/forms.py
|
yonathanF/bazaar-clone
|
b878cc818b7e86293256d2abfdbec040b125362d
|
[
"MIT"
] | null | null | null |
src/models/UserProfile/forms.py
|
yonathanF/bazaar-clone
|
b878cc818b7e86293256d2abfdbec040b125362d
|
[
"MIT"
] | null | null | null |
from django.forms import ModelForm
from .models import Profile
class ProfileForm(ModelForm):
class Meta:
model = Profile
fields = '__all__'
| 20.125
| 34
| 0.695652
| 18
| 161
| 6
| 0.722222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.242236
| 161
| 8
| 35
| 20.125
| 0.885246
| 0
| 0
| 0
| 0
| 0
| 0.04321
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
bf98d18f3965385837e8d4cd4a0fdb92cda6b4bc
| 150
|
py
|
Python
|
netCDF4_enhancement/__init__.py
|
david-salac/NetCDF4-variable-streamer
|
c7b13a54936e5e1180b5c8f25193e6aa0347f0bf
|
[
"MIT"
] | 20
|
2020-01-20T14:34:41.000Z
|
2021-10-01T14:19:44.000Z
|
netCDF4_enhancement/__init__.py
|
david-salac/NetCDF4-variable-streamer
|
c7b13a54936e5e1180b5c8f25193e6aa0347f0bf
|
[
"MIT"
] | 1
|
2020-08-26T10:39:30.000Z
|
2020-08-26T10:39:30.000Z
|
netCDF4_enhancement/__init__.py
|
david-salac/NetCDF4-variable-streamer
|
c7b13a54936e5e1180b5c8f25193e6aa0347f0bf
|
[
"MIT"
] | 1
|
2020-10-10T12:23:25.000Z
|
2020-10-10T12:23:25.000Z
|
from netCDF4_enhancement.netCDF4_enhancement import NetCDF4Streamer, NetCDF4StreamerVariable # noqa
__version__ = "0.1.2"
__status__ = "Production"
| 30
| 100
| 0.826667
| 15
| 150
| 7.6
| 0.866667
| 0.315789
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.051852
| 0.1
| 150
| 4
| 101
| 37.5
| 0.792593
| 0.026667
| 0
| 0
| 0
| 0
| 0.104167
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
bfcc6bf426b33ac3070b8c1f19549df81fb66502
| 27
|
py
|
Python
|
lib/__init__.py
|
TCSOSM-20/LW-UI
|
70c3331278f71d3b22fc3a090d526b4b8106d155
|
[
"Apache-2.0"
] | 8
|
2017-03-13T16:34:28.000Z
|
2021-11-16T11:35:56.000Z
|
code/lib/__init__.py
|
superfluidity/osm-light-ui
|
d3189687009f23f32e877c36db1ebd206fca972f
|
[
"Apache-2.0"
] | 1
|
2020-02-12T03:23:39.000Z
|
2020-02-12T03:23:39.000Z
|
code/lib/__init__.py
|
superfluidity/osm-light-ui
|
d3189687009f23f32e877c36db1ebd206fca972f
|
[
"Apache-2.0"
] | 3
|
2017-03-28T09:26:40.000Z
|
2020-12-08T14:16:12.000Z
|
__all__ = ["Util", 'etsi']
| 13.5
| 26
| 0.555556
| 3
| 27
| 3.666667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.148148
| 27
| 1
| 27
| 27
| 0.478261
| 0
| 0
| 0
| 0
| 0
| 0.296296
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
44f8ed5d7ebf0f5a9e3a363400a4d369e59e93d3
| 137
|
py
|
Python
|
Thonny/Lib/site-packages/thonny/shared/thonny/__init__.py
|
byache/thonny
|
197925d51be64bc1ff1f8488d3755697f5121025
|
[
"MIT"
] | null | null | null |
Thonny/Lib/site-packages/thonny/shared/thonny/__init__.py
|
byache/thonny
|
197925d51be64bc1ff1f8488d3755697f5121025
|
[
"MIT"
] | null | null | null |
Thonny/Lib/site-packages/thonny/shared/thonny/__init__.py
|
byache/thonny
|
197925d51be64bc1ff1f8488d3755697f5121025
|
[
"MIT"
] | null | null | null |
# Frontend will interpret this folder as thonny.shared.thonny
# For backend parent folder will be in path, so this will be package thonny
| 68.5
| 75
| 0.80292
| 23
| 137
| 4.782609
| 0.695652
| 0.109091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.160584
| 137
| 2
| 75
| 68.5
| 0.956522
| 0.970803
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
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| 0
| 0
| 1
| 0
| 0
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| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
7840f3f37ff8db94955eb0ba2e5d4410aadee57d
| 109
|
py
|
Python
|
helper.py
|
annettechun25/cs3240-labdemo
|
647e3b463d1b71ea1a3bd34d11e6a5855b4ea70d
|
[
"MIT"
] | null | null | null |
helper.py
|
annettechun25/cs3240-labdemo
|
647e3b463d1b71ea1a3bd34d11e6a5855b4ea70d
|
[
"MIT"
] | null | null | null |
helper.py
|
annettechun25/cs3240-labdemo
|
647e3b463d1b71ea1a3bd34d11e6a5855b4ea70d
|
[
"MIT"
] | null | null | null |
# Annette Chun
# amc4sq
# 02/22/16
# helper.py
__author__ = 'Annette Chun'
def greeting(msg):
print(msg)
| 10.9
| 27
| 0.678899
| 16
| 109
| 4.375
| 0.8125
| 0.314286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.078652
| 0.183486
| 109
| 9
| 28
| 12.111111
| 0.707865
| 0.348624
| 0
| 0
| 0
| 0
| 0.181818
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0
| 0.333333
| 0.333333
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
78804020dffa48360eb05d75f56a9c01b4bbd4dc
| 419
|
py
|
Python
|
wtf_helpers.py
|
spratiman/udenbrus
|
213d18db075ac515e2fba0737c67c8f873832e15
|
[
"MIT"
] | 10
|
2015-01-11T22:22:39.000Z
|
2021-03-21T18:09:17.000Z
|
wtf_helpers.py
|
spratiman/udenbrus
|
213d18db075ac515e2fba0737c67c8f873832e15
|
[
"MIT"
] | null | null | null |
wtf_helpers.py
|
spratiman/udenbrus
|
213d18db075ac515e2fba0737c67c8f873832e15
|
[
"MIT"
] | 8
|
2015-02-10T01:02:30.000Z
|
2021-08-08T17:29:54.000Z
|
# Helpers for form generation
from wtforms.fields import HiddenField, BooleanField
def add_helpers(app):
def is_hidden_field_filter(field):
return isinstance(field, HiddenField)
def is_boolean_field_filter(field):
return isinstance(field, BooleanField)
app.jinja_env.filters['is_hidden_field'] = is_hidden_field_filter
app.jinja_env.filters['is_boolean_field'] = is_boolean_field_filter
| 41.9
| 71
| 0.78043
| 56
| 419
| 5.5
| 0.410714
| 0.142857
| 0.126623
| 0.123377
| 0.37013
| 0.24026
| 0
| 0
| 0
| 0
| 0
| 0
| 0.143198
| 419
| 9
| 72
| 46.555556
| 0.857939
| 0.064439
| 0
| 0
| 0
| 0
| 0.079487
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.375
| false
| 0
| 0.125
| 0.25
| 0.75
| 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
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
78ba69fa0000d1e3d13e83e3df8be2f8dfee0fea
| 846
|
py
|
Python
|
tests/test_windows.py
|
Numerlor/taskipy
|
0d90a5204bf2eb50ee8c7513af1fae88a2f33e1b
|
[
"MIT"
] | 208
|
2019-12-24T20:53:31.000Z
|
2022-03-29T23:37:25.000Z
|
tests/test_windows.py
|
Numerlor/taskipy
|
0d90a5204bf2eb50ee8c7513af1fae88a2f33e1b
|
[
"MIT"
] | 40
|
2020-01-02T15:58:03.000Z
|
2022-03-02T21:38:33.000Z
|
tests/test_windows.py
|
Numerlor/taskipy
|
0d90a5204bf2eb50ee8c7513af1fae88a2f33e1b
|
[
"MIT"
] | 18
|
2019-12-29T03:23:27.000Z
|
2022-02-15T14:51:30.000Z
|
import platform
import unittest
@unittest.skipIf(platform.system() != 'Windows', 'Windows only tests')
class WindowsTestCase(unittest.TestCase):
def test_windows_path_sanity(self):
'''
This test case is a no-op, and exists only to ensure that windows paths work
as part of the windows sanity ci test.
'''
print('sanity passed - test was run')
def test_mslex_install(self):
'''Ensure that mslex is installed on Windows'''
try:
import mslex # type: ignore # pylint: disable=W0611,C0415
except ImportError:
self.fail('Unable to import mslex')
def test_mslex_import(self):
'''Ensure that mslex is used as shlex'''
from taskipy.task_runner import shlex # pylint: disable=C0415
self.assertEqual(shlex.__name__, 'mslex')
| 31.333333
| 84
| 0.650118
| 107
| 846
| 5.028037
| 0.570093
| 0.039033
| 0.04461
| 0.070632
| 0.078067
| 0
| 0
| 0
| 0
| 0
| 0
| 0.019139
| 0.258865
| 846
| 26
| 85
| 32.538462
| 0.838915
| 0.303783
| 0
| 0
| 0
| 0
| 0.146789
| 0
| 0
| 0
| 0
| 0
| 0.071429
| 1
| 0.214286
| false
| 0.071429
| 0.5
| 0
| 0.785714
| 0.071429
| 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
| 1
| 0
| 1
| 0
|
0
| 4
|
78cada4c9f1012f64cd886f17d65eddc15afbb84
| 263
|
py
|
Python
|
tests/molecular/molecules/molecule/get_maximum_diameter/utilities.py
|
stevenbennett96/stk
|
6e5af87625b83e0bfc7243bc42d8c7a860cbeb76
|
[
"MIT"
] | 21
|
2018-04-12T16:25:24.000Z
|
2022-02-14T23:05:43.000Z
|
tests/molecular/molecules/molecule/get_maximum_diameter/utilities.py
|
stevenbennett96/stk
|
6e5af87625b83e0bfc7243bc42d8c7a860cbeb76
|
[
"MIT"
] | 8
|
2019-03-19T12:36:36.000Z
|
2020-11-11T12:46:00.000Z
|
tests/molecular/molecules/molecule/get_maximum_diameter/utilities.py
|
stevenbennett96/stk
|
6e5af87625b83e0bfc7243bc42d8c7a860cbeb76
|
[
"MIT"
] | 5
|
2018-08-07T13:00:16.000Z
|
2021-11-01T00:55:10.000Z
|
from scipy.spatial.distance import euclidean
def get_maximum_diameter(position_matrix, atom_ids):
atomic_positions = position_matrix[atom_ids, :]
return float(euclidean(
atomic_positions.min(axis=0),
atomic_positions.max(axis=0),
))
| 26.3
| 52
| 0.730038
| 33
| 263
| 5.545455
| 0.666667
| 0.245902
| 0.196721
| 0.229508
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.009217
| 0.174905
| 263
| 9
| 53
| 29.222222
| 0.834101
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.142857
| false
| 0
| 0.142857
| 0
| 0.428571
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
153b53007b0c641c1382391e58fc84c0760d6032
| 799
|
py
|
Python
|
tests/taunts/aoe_test.py
|
Sidesplitter/Wololobot
|
4209a8bd7e2e7ed424dab41e5793d72756ba3980
|
[
"WTFPL"
] | null | null | null |
tests/taunts/aoe_test.py
|
Sidesplitter/Wololobot
|
4209a8bd7e2e7ed424dab41e5793d72756ba3980
|
[
"WTFPL"
] | null | null | null |
tests/taunts/aoe_test.py
|
Sidesplitter/Wololobot
|
4209a8bd7e2e7ed424dab41e5793d72756ba3980
|
[
"WTFPL"
] | null | null | null |
import unittest
from src.tauntpackfactory import TauntPackFactory
class AoETest(unittest.TestCase):
tauntPack = None
def setUp(self):
factory = TauntPackFactory()
self.tauntPack = factory.create('taunts/aoe')
def tearDown(self):
self.tauntPack = None
def test_amount(self):
self.assertEqual(43, len(self.tauntPack.taunts))
def test_oh(self):
self.assertIsNotNone(self.tauntPack.findMatch('Oh'))
self.assertIsNotNone(self.tauntPack.findMatch('ooh'))
self.assertIsNotNone(self.tauntPack.findMatch('ohh'))
def test_ah(self):
self.assertIsNotNone(self.tauntPack.findMatch('Ah'))
self.assertIsNotNone(self.tauntPack.findMatch('aah'))
self.assertIsNotNone(self.tauntPack.findMatch('ahh'))
| 24.96875
| 61
| 0.687109
| 85
| 799
| 6.423529
| 0.364706
| 0.214286
| 0.252747
| 0.351648
| 0.465201
| 0.164835
| 0
| 0
| 0
| 0
| 0
| 0.003101
| 0.192741
| 799
| 31
| 62
| 25.774194
| 0.843411
| 0
| 0
| 0
| 0
| 0
| 0.032581
| 0
| 0
| 0
| 0
| 0
| 0.368421
| 1
| 0.263158
| false
| 0
| 0.105263
| 0
| 0.473684
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
15744d21556d871e7e491b6ce28bdf9cb512b756
| 65
|
py
|
Python
|
wagtail/api/v2/__init__.py
|
brownaa/wagtail
|
c97bc56c6822eb1b6589d5c33e07f71acfc48845
|
[
"BSD-3-Clause"
] | 8,851
|
2016-12-09T19:01:45.000Z
|
2022-03-31T04:45:06.000Z
|
wagtail/api/v2/__init__.py
|
brownaa/wagtail
|
c97bc56c6822eb1b6589d5c33e07f71acfc48845
|
[
"BSD-3-Clause"
] | 5,197
|
2016-12-09T19:24:37.000Z
|
2022-03-31T22:17:55.000Z
|
wagtail/api/v2/__init__.py
|
brownaa/wagtail
|
c97bc56c6822eb1b6589d5c33e07f71acfc48845
|
[
"BSD-3-Clause"
] | 2,548
|
2016-12-09T18:16:55.000Z
|
2022-03-31T21:34:38.000Z
|
default_app_config = 'wagtail.api.v2.apps.WagtailAPIV2AppConfig'
| 32.5
| 64
| 0.846154
| 8
| 65
| 6.625
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.032258
| 0.046154
| 65
| 1
| 65
| 65
| 0.822581
| 0
| 0
| 0
| 0
| 0
| 0.630769
| 0.630769
| 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
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
157e8cf15b196e274a4d5f2b55e503c56301dfbe
| 572
|
py
|
Python
|
conjur/controller/__init__.py
|
mbjahnoon/conjur-api-python3
|
ec1f62bb1baf2bdcd34d2fb92c97db724f761020
|
[
"Apache-2.0"
] | 16
|
2019-05-17T15:34:59.000Z
|
2021-11-08T10:30:21.000Z
|
conjur/controller/__init__.py
|
mbjahnoon/conjur-api-python3
|
ec1f62bb1baf2bdcd34d2fb92c97db724f761020
|
[
"Apache-2.0"
] | 301
|
2019-05-07T18:27:10.000Z
|
2022-01-26T13:03:49.000Z
|
conjur/controller/__init__.py
|
cyberark/cyberark-conjur-cli
|
2507e8769808643d89efa7e2496cfc14f505bd7e
|
[
"Apache-2.0"
] | 10
|
2019-07-30T17:00:13.000Z
|
2022-01-20T17:00:34.000Z
|
"""
controller
This package contains the controller classes
"""
from conjur.controller.host_controller import HostController
from conjur.controller.init_controller import InitController
from conjur.controller.list_controller import ListController
from conjur.controller.login_controller import LoginController
from conjur.controller.logout_controller import LogoutController
from conjur.controller.policy_controller import PolicyController
from conjur.controller.user_controller import UserController
from conjur.controller.variable_controller import VariableController
| 38.133333
| 68
| 0.886364
| 63
| 572
| 7.920635
| 0.396825
| 0.160321
| 0.320641
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.075175
| 572
| 14
| 69
| 40.857143
| 0.943289
| 0.097902
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
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| 0
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
159b04596de6f88a2f16b7927254279cc5b6f181
| 1,878
|
py
|
Python
|
test/test_analysis_api.py
|
ariadnext/IDCheckIO
|
62804f78e02b9ef42e10f1fe7b4b4f3abbf703fd
|
[
"Apache-2.0"
] | 3
|
2016-03-24T11:08:57.000Z
|
2016-10-05T13:32:45.000Z
|
test/test_analysis_api.py
|
ariadnext/IDCheckIO
|
62804f78e02b9ef42e10f1fe7b4b4f3abbf703fd
|
[
"Apache-2.0"
] | null | null | null |
test/test_analysis_api.py
|
ariadnext/IDCheckIO
|
62804f78e02b9ef42e10f1fe7b4b4f3abbf703fd
|
[
"Apache-2.0"
] | 2
|
2019-10-18T14:25:08.000Z
|
2020-12-12T17:07:07.000Z
|
# coding: utf-8
"""
IdCheck.IO API
Check identity documents
OpenAPI spec version: 0.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
from __future__ import absolute_import
import os
import sys
import unittest
import idcheckio_python_client
from idcheckio_python_client.rest import ApiException
from idcheckio_python_client.apis.analysis_api import AnalysisApi
class TestAnalysisApi(unittest.TestCase):
""" AnalysisApi unit test stubs """
def setUp(self):
self.api = idcheckio_python_client.apis.analysis_api.AnalysisApi()
def tearDown(self):
pass
def test_get_report(self):
"""
Test case for get_report
HTTP GET report (demo)
"""
pass
def test_get_result(self):
"""
Test case for get_result
HTTP GET result
"""
pass
def test_get_task(self):
"""
Test case for get_task
HTTP GET task
"""
pass
def test_post_image(self):
"""
Test case for post_image
HTTP POST task image
"""
pass
def test_post_mrz(self):
"""
Test case for post_mrz
HTTP POST task mrz
"""
pass
if __name__ == '__main__':
unittest.main()
| 21.340909
| 76
| 0.646432
| 243
| 1,878
| 4.839506
| 0.473251
| 0.05102
| 0.046769
| 0.063776
| 0.139456
| 0.061224
| 0
| 0
| 0
| 0
| 0
| 0.00522
| 0.285942
| 1,878
| 87
| 77
| 21.586207
| 0.871738
| 0.490415
| 0
| 0.25
| 1
| 0
| 0.010929
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.291667
| false
| 0.25
| 0.291667
| 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
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
15ad69462a062e84e93651fdec8e6d2fdc1e8ef1
| 89
|
py
|
Python
|
Django-Book-WebSite-main/bookapp/apps.py
|
tenzinsparkss/Recommendation-system-on-python-django
|
5ecf8b2ff15d0b8f466d38f966ff1fce362fe0bf
|
[
"BSD-4-Clause-UC"
] | 2
|
2020-10-18T16:59:22.000Z
|
2020-10-18T21:03:22.000Z
|
Django-Book-WebSite-main/bookapp/apps.py
|
tenzinsparkss/Recommendation-system-on-python-django
|
5ecf8b2ff15d0b8f466d38f966ff1fce362fe0bf
|
[
"BSD-4-Clause-UC"
] | 101
|
2021-03-29T16:20:09.000Z
|
2021-06-12T08:53:20.000Z
|
Django-Book-WebSite-main/bookapp/apps.py
|
tenzinsparkss/Recommendation-system-on-python-django
|
5ecf8b2ff15d0b8f466d38f966ff1fce362fe0bf
|
[
"BSD-4-Clause-UC"
] | null | null | null |
from django.apps import AppConfig
class BookappConfig(AppConfig):
name = 'bookapp'
| 14.833333
| 33
| 0.752809
| 10
| 89
| 6.7
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.168539
| 89
| 5
| 34
| 17.8
| 0.905405
| 0
| 0
| 0
| 0
| 0
| 0.078652
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
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| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
ec81ef3eee4a2af3461e91c361947042e025b27f
| 6,308
|
py
|
Python
|
Source/kb_layout.py
|
Aho-Senpai/InputDisplayPython
|
dbf778765821fc35d075892d6f8885ecbf0dd847
|
[
"MIT"
] | null | null | null |
Source/kb_layout.py
|
Aho-Senpai/InputDisplayPython
|
dbf778765821fc35d075892d6f8885ecbf0dd847
|
[
"MIT"
] | null | null | null |
Source/kb_layout.py
|
Aho-Senpai/InputDisplayPython
|
dbf778765821fc35d075892d6f8885ecbf0dd847
|
[
"MIT"
] | null | null | null |
ANSI_TKL = [
{'Key': 'Key.esc', 'Pos': [0, 0], 'Size': [1, 1], },
{'Key': "SPACER", 'Pos': [0, 1], 'Size': [1, 1], }, # Spacer
{'Key': 'Key.f1', 'Pos': [0, 2], 'Size': [1, 1], },
{'Key': 'Key.f2', 'Pos': [0, 3], 'Size': [1, 1], },
{'Key': 'Key.f3', 'Pos': [0, 4], 'Size': [1, 1], },
{'Key': 'Key.f4', 'Pos': [0, 5], 'Size': [1, 1], },
{'Key': "SPACER", 'Pos': [0, 6], 'Size': [1, 0.5], }, # Spacer
{'Key': 'Key.f5', 'Pos': [0, 6.5], 'Size': [1, 1], },
{'Key': 'Key.f6', 'Pos': [0, 7.5], 'Size': [1, 1], },
{'Key': 'Key.f7', 'Pos': [0, 8.5], 'Size': [1, 1], },
{'Key': 'Key.f8', 'Pos': [0, 9.5], 'Size': [1, 1], },
{'Key': "SPACER", 'Pos': [0, 10.5], 'Size': [1, 0.5], }, # Spacer
{'Key': 'Key.f9', 'Pos': [0, 11], 'Size': [1, 1], },
{'Key': 'Key.f10', 'Pos': [0, 12], 'Size': [1, 1], },
{'Key': 'Key.f11', 'Pos': [0, 13], 'Size': [1, 1], },
{'Key': 'Key.f12', 'Pos': [0, 14], 'Size': [1, 1], },
{'Key': "SPACER", 'Pos': [0, 15], 'Size': [1, 0.25], }, # Spacer
{'Key': 'Key.print_screen', 'Pos': [0, 15.25], 'Size': [1, 1], },
{'Key': 'Key.scroll_lock', 'Pos': [0, 16.25], 'Size': [1, 1], },
{'Key': 'Key.pause', 'Pos': [0, 17.25], 'Size': [1, 1], },
{'Key': "SPACER", 'Pos': [1, 0], 'Size': [0.5, 18.25]},
{'Key': '`', 'Pos': [2, 0], 'Shift': '~', 'Size': [1, 1], },
{'Key': '1', 'Pos': [2, 1], 'Shift': '!', 'Size': [1, 1], },
{'Key': '2', 'Pos': [2, 2], 'Shift': '@', 'Size': [1, 1], },
{'Key': '3', 'Pos': [2, 3], 'Shift': '#', 'Size': [1, 1], },
{'Key': '4', 'Pos': [2, 4], 'Shift': '$', 'Size': [1, 1], },
{'Key': '5', 'Pos': [2, 5], 'Shift': '%', 'Size': [1, 1], },
{'Key': '6', 'Pos': [2, 6], 'Shift': '^', 'Size': [1, 1], },
{'Key': '7', 'Pos': [2, 7], 'Shift': '&', 'Size': [1, 1], },
{'Key': '8', 'Pos': [2, 8], 'Shift': '*', 'Size': [1, 1], },
{'Key': '9', 'Pos': [2, 9], 'Shift': '(', 'Size': [1, 1], },
{'Key': '0', 'Pos': [2, 10], 'Shift': ')', 'Size': [1, 1], },
{'Key': '-', 'Pos': [2, 11], 'Shift': '_', 'Size': [1, 1], },
{'Key': '=', 'Pos': [2, 12], 'Shift': '+', 'Size': [1, 1], },
{'Key': 'Key.backspace', 'Pos': [2, 13], 'Size': [1, 2], },
{'Key': "SPACER", 'Pos': [2, 15], 'Size': [1, 0.25], }, # Spacer
{'Key': 'Key.insert', 'Pos': [2, 15.25], 'Size': [1, 1], },
{'Key': 'Key.home', 'Pos': [2, 16.25], 'Size': [1, 1], },
{'Key': 'Key.page_up', 'Pos': [2, 17.25], 'Size': [1, 1], },
{'Key': 'Key.tab', 'Pos': [3, 0], 'Size': [1, 1.5], },
{'Key': 'q', 'Pos': [3, 1.5], 'Shift': 'Q', 'Size': [1, 1], },
{'Key': 'w', 'Pos': [3, 2.5], 'Shift': 'W', 'Size': [1, 1], },
{'Key': 'e', 'Pos': [3, 3.5], 'Shift': 'E', 'Size': [1, 1], },
{'Key': 'r', 'Pos': [3, 4.5], 'Shift': 'R', 'Size': [1, 1], },
{'Key': 't', 'Pos': [3, 5.5], 'Shift': 'T', 'Size': [1, 1], },
{'Key': 'y', 'Pos': [3, 6.5], 'Shift': 'Y', 'Size': [1, 1], },
{'Key': 'u', 'Pos': [3, 7.5], 'Shift': 'U', 'Size': [1, 1], },
{'Key': 'i', 'Pos': [3, 8.5], 'Shift': 'I', 'Size': [1, 1], },
{'Key': 'o', 'Pos': [3, 9.5], 'Shift': 'O', 'Size': [1, 1], },
{'Key': 'p', 'Pos': [3, 10.5], 'Shift': 'P', 'Size': [1, 1], },
{'Key': '[', 'Pos': [3, 11.5], 'Shift': '{', 'Size': [1, 1], },
{'Key': ']', 'Pos': [3, 12.5], 'Shift': '}', 'Size': [1, 1], },
{'Key': '\\', 'Pos': [3, 13.5], 'Shift': '|', 'Size': [1, 1.5], },
{'Key': "SPACER", 'Pos': [3, 15], 'Size': [1, 0.25], }, # Spacer
{'Key': 'Key.delete', 'Pos': [3, 15.25], 'Size': [1, 1], },
{'Key': 'Key.end', 'Pos': [3, 16.25], 'Size': [1, 1], },
{'Key': 'Key.page_down', 'Pos': [3, 17.25], 'Size': [1, 1], },
{'Key': 'Key.caps_lock', 'Pos': [4, 0], 'Size': [1, 1.75], },
{'Key': 'a', 'Pos': [4, 1.75], 'Shift': 'A', 'Size': [1, 1], },
{'Key': 's', 'Pos': [4, 2.75], 'Shift': 'S', 'Size': [1, 1], },
{'Key': 'd', 'Pos': [4, 3.75], 'Shift': 'D', 'Size': [1, 1], },
{'Key': 'f', 'Pos': [4, 4.75], 'Shift': 'F', 'Size': [1, 1], },
{'Key': 'g', 'Pos': [4, 5.75], 'Shift': 'G', 'Size': [1, 1], },
{'Key': 'h', 'Pos': [4, 6.75], 'Shift': 'H', 'Size': [1, 1], },
{'Key': 'j', 'Pos': [4, 7.75], 'Shift': 'J', 'Size': [1, 1], },
{'Key': 'k', 'Pos': [4, 8.75], 'Shift': 'K', 'Size': [1, 1], },
{'Key': 'l', 'Pos': [4, 9.75], 'Shift': 'L', 'Size': [1, 1], },
{'Key': ';', 'Pos': [4, 10.75], 'Shift': ':', 'Size': [1, 1], },
{'Key': "'", 'Pos': [4, 11.75], 'Shift': '"', 'Size': [1, 1], },
{'Key': 'Key.enter', 'Pos': [4, 12.75], 'Size': [1, 2.25], },
{'Key': 'Key.shift', 'Pos': [5, 0], 'Size': [1, 2.25], },
{'Key': 'z', 'Pos': [5, 2.25], 'Shift': 'Z', 'Size': [1, 1], },
{'Key': 'x', 'Pos': [5, 3.25], 'Shift': 'X', 'Size': [1, 1], },
{'Key': 'c', 'Pos': [5, 4.25], 'Shift': 'C', 'Size': [1, 1], },
{'Key': 'v', 'Pos': [5, 5.25], 'Shift': 'V', 'Size': [1, 1], },
{'Key': 'b', 'Pos': [5, 6.25], 'Shift': 'B', 'Size': [1, 1], },
{'Key': 'n', 'Pos': [5, 7.25], 'Shift': 'N', 'Size': [1, 1], },
{'Key': 'm', 'Pos': [5, 8.25], 'Shift': 'M', 'Size': [1, 1], },
{'Key': ',', 'Pos': [5, 9.25], 'Shift': '<', 'Size': [1, 1], },
{'Key': '.', 'Pos': [5, 10.25], 'Shift': '>', 'Size': [1, 1], },
{'Key': '/', 'Pos': [5, 11.25], 'Shift': '?', 'Size': [1, 1], },
{'Key': 'Key.shift_r', 'Pos': [5, 12.25], 'Size': [1, 2.75], },
{'Key': "SPACER", 'Pos': [5, 15], 'Size': [1, 1.25], }, # Spacer
{'Key': 'Key.up', 'Pos': [5, 16.25], 'Size': [1, 1], },
{'Key': 'Key.ctrl_l', 'Pos': [6, 0], 'Size': [1, 1.25], },
{'Key': 'Key.cmd', 'Pos': [6, 1.25], 'Size': [1, 1.25], },
{'Key': 'Key.alt_l', 'Pos': [6, 2.5], 'Size': [1, 1.25], },
{'Key': 'Key.space', 'Pos': [6, 3.75], 'Size': [1, 6.25], },
{'Key': 'Key.alt_gr', 'Pos': [6, 10], 'Size': [1, 1.25], },
{'Key': 'Key.cmd_r', 'Pos': [6, 11.25], 'Size': [1, 1.25], },
{'Key': "SPACER", 'Pos': [6, 12.5], 'Size': [1, 1.25], }, # Spacer (Menu Key doesn't show?)
{'Key': 'Key.ctrl_r', 'Pos': [6, 13.75], 'Size': [1, 1.25], },
{'Key': "SPACER", 'Pos': [6, 15.75], 'Size': [1, 0.25], }, # Spacer
{'Key': 'Key.left', 'Pos': [6, 15.25], 'Size': [1, 1], },
{'Key': 'Key.down', 'Pos': [6, 16.25], 'Size': [1, 1], },
{'Key': 'Key.right', 'Pos': [6, 17.25], 'Size': [1, 1], },
]
| 60.07619
| 96
| 0.359068
| 980
| 6,308
| 2.297959
| 0.094898
| 0.210924
| 0.223801
| 0.283748
| 0.48135
| 0.354352
| 0.255773
| 0.118117
| 0
| 0
| 0
| 0.120609
| 0.219245
| 6,308
| 104
| 97
| 60.653846
| 0.33665
| 0.013792
| 0
| 0
| 0
| 0
| 0.271776
| 0
| 0.010204
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.010204
| 0
| 0
| 0
| null | 1
| 1
| 1
| 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
| 0
|
0
| 4
|
ec8362c94078e10e84cf407902299abacd500aac
| 1,199
|
py
|
Python
|
authors/apps/articles/tests/test_share.py
|
andela/ah-backend-thanos
|
baf7f20a023cc3c3ecae0fcf91bb7d9165e79fc8
|
[
"BSD-3-Clause"
] | null | null | null |
authors/apps/articles/tests/test_share.py
|
andela/ah-backend-thanos
|
baf7f20a023cc3c3ecae0fcf91bb7d9165e79fc8
|
[
"BSD-3-Clause"
] | 42
|
2018-10-24T08:21:07.000Z
|
2021-06-10T20:54:39.000Z
|
authors/apps/articles/tests/test_share.py
|
andela/ah-backend-thanos
|
baf7f20a023cc3c3ecae0fcf91bb7d9165e79fc8
|
[
"BSD-3-Clause"
] | 2
|
2018-11-05T08:56:42.000Z
|
2019-05-03T12:40:43.000Z
|
from rest_framework import status
from .Basetest import BaseTest
class ReportArticleTestCase(BaseTest):
def test_share_email(self):
"""Test user can share an article by email"""
self.client.post(self.url, self.comment_data,
format='json')
response = self.client.post(
self.share_email_url, format='json')
self.assertEqual(response.status_code,
status.HTTP_200_OK)
def test_share_facebook(self):
"""Test user can share an article by facebook"""
self.client.post(self.url, self.comment_data,
format='json')
response = self.client.post(
self.share_facebook_url, format='json')
self.assertEqual(response.status_code,
status.HTTP_200_OK)
def test_share_twitter(self):
"""Test user can share an article by twitter"""
self.client.post(self.url, self.comment_data,
format='json')
response = self.client.post(
self.share_twitter_url, format='json')
self.assertEqual(response.status_code,
status.HTTP_200_OK)
| 35.264706
| 56
| 0.597998
| 138
| 1,199
| 5.014493
| 0.23913
| 0.086705
| 0.121387
| 0.156069
| 0.767341
| 0.767341
| 0.767341
| 0.767341
| 0.632948
| 0.632948
| 0
| 0.010856
| 0.30859
| 1,199
| 33
| 57
| 36.333333
| 0.823884
| 0.10342
| 0
| 0.625
| 0
| 0
| 0.022663
| 0
| 0
| 0
| 0
| 0
| 0.125
| 1
| 0.125
| false
| 0
| 0.083333
| 0
| 0.25
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
ec8736eb3aacf9cebf7f256055bee08c64902f38
| 172
|
py
|
Python
|
ex14.py
|
eng-lenin/Python
|
6038f052b8343878760ed133dd43869927e39b3d
|
[
"MIT"
] | 1
|
2021-01-30T14:50:55.000Z
|
2021-01-30T14:50:55.000Z
|
ex14.py
|
eng-lenin/Python
|
6038f052b8343878760ed133dd43869927e39b3d
|
[
"MIT"
] | null | null | null |
ex14.py
|
eng-lenin/Python
|
6038f052b8343878760ed133dd43869927e39b3d
|
[
"MIT"
] | null | null | null |
c=float(input('Insira a temperatura em graus celsius: '))
f=c*(9/5) + 32
print('A temperatura de {} graus celsius corresponde a {:.2f} graus farenheit.'.format(c,f)
)
| 43
| 91
| 0.674419
| 28
| 172
| 4.142857
| 0.678571
| 0.206897
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.034483
| 0.156977
| 172
| 4
| 92
| 43
| 0.765517
| 0
| 0
| 0
| 0
| 0
| 0.635838
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.25
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
01a98f87b84c1d00d335404aeb0548baf37c8bc7
| 65
|
py
|
Python
|
project/test_utils.py
|
GWU-CS2021/CSCI6461
|
a0b276aa6ba294a1c28132334d64f6326dd2eace
|
[
"MIT"
] | null | null | null |
project/test_utils.py
|
GWU-CS2021/CSCI6461
|
a0b276aa6ba294a1c28132334d64f6326dd2eace
|
[
"MIT"
] | null | null | null |
project/test_utils.py
|
GWU-CS2021/CSCI6461
|
a0b276aa6ba294a1c28132334d64f6326dd2eace
|
[
"MIT"
] | null | null | null |
from src.cpu import CPU
instance = CPU()
instance.trigger_mfr(1)
| 16.25
| 23
| 0.769231
| 11
| 65
| 4.454545
| 0.727273
| 0.44898
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.017544
| 0.123077
| 65
| 4
| 24
| 16.25
| 0.842105
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
01fe318cbb6c3773a83de7b5a0abcf5437a42010
| 4,212
|
py
|
Python
|
src/neuralNetwork.py
|
AmitNiz/NeuralNetwork
|
b8d85d5196c93ce813571af69361b0a0b3c56a18
|
[
"MIT"
] | 1
|
2020-01-23T09:09:45.000Z
|
2020-01-23T09:09:45.000Z
|
src/neuralNetwork.py
|
AmitNiz/neuralNetwork
|
b8d85d5196c93ce813571af69361b0a0b3c56a18
|
[
"MIT"
] | null | null | null |
src/neuralNetwork.py
|
AmitNiz/neuralNetwork
|
b8d85d5196c93ce813571af69361b0a0b3c56a18
|
[
"MIT"
] | null | null | null |
import numpy
import scipy.special
import os.path as pf
class createNeuralNetwork:
def __init__(self,inputnodes,hiddennodes,outputnodes,learningrate):
#Set num of nodes in each layer
self.inodes = inputnodes
self.hnodes = hiddennodes
self.onodes = outputnodes
#Learning rate
self.lr = learningrate
#Setting the Weights
self.wih = numpy.random.normal(0.0,pow(self.hnodes,-0.5),(self.hnodes,self.inodes))
self.who = numpy.random.normal(0.0,pow(self.onodes,-0.5),(self.onodes,self.hnodes))
if(pf.isfile("../data/wih.npy")==1):
self.wih = numpy.load("../data/wih.npy")
if(pf.isfile("../data/who.npy")==1):
self.who = numpy.load("../data/who.npy")
#Sigmoid function
self.activationFunction = lambda x: scipy.special.expit(x)
def train(self,inputsList,targetsList):
#Convert the inputs into an Array
inputs = numpy.array(inputsList,ndmin=2).T
targets = numpy.array(targetsList,ndmin=2).T
#Calculate signals into hidden layer
hiddenInputs = numpy.dot(self.wih,inputs)
#Calculate the outputs of the hidden layer
hiddenOutputs = self.activationFunction(hiddenInputs)
#Calculate signals into the output layer
finalInputs = numpy.dot(self.who,hiddenOutputs)
#Calculate the final output
finalOutputs = self.activationFunction(finalInputs)
#Calculate the output errors
outputErrors = targets - finalOutputs
#Calculate the hidden layer errors
hiddenErrors = numpy.dot(self.who.T,outputErrors)
#Update the Weights between the hidden and the output layers
self.who += self.lr * numpy.dot((outputErrors*finalOutputs*(1.0-finalOutputs)),numpy.transpose(hiddenOutputs))
#Update the weights between the input and the hidden layers
self.wih += self.lr * numpy.dot((hiddenErrors*hiddenOutputs*(1.0-hiddenOutputs)),numpy.transpose(inputs))
#Save the new weights
numpy.save('data/who.npy',self.who)
numpy.save('data/wih.npy',self.wih)
return numpy.argmax(finalOutputs)
def train(self, inputsList):
# Convert the inputs into an Array
inputs = numpy.array(inputsList, ndmin=2).T
targets = int(input("What is the Number?"))
# Calculate signals into hidden layer
hiddenInputs = numpy.dot(self.wih, inputs)
# Calculate the outputs of the hidden layer
hiddenOutputs = self.activationFunction(hiddenInputs)
# Calculate signals into the output layer
finalInputs = numpy.dot(self.who, hiddenOutputs)
# Calculate the final output
finalOutputs = self.activationFunction(finalInputs)
# Calculate the output errors
outputErrors = targets - finalOutputs
# Calculate the hidden layer errors
hiddenErrors = numpy.dot(self.who.T, outputErrors)
# Update the Weights between the hidden and the output layers
self.who += self.lr * numpy.dot((outputErrors * finalOutputs * (1.0 - finalOutputs)),
numpy.transpose(hiddenOutputs))
# Update the weights between the input and the hidden layers
self.wih += self.lr * numpy.dot((hiddenErrors * hiddenOutputs * (1.0 - hiddenOutputs)), numpy.transpose(inputs))
# Save the new weights
numpy.save('../data/who.npy', self.who)
numpy.save('../data/wih.npy', self.wih)
return finalOutputs
def query(self, inputsList):
#Convert inputs into a 2D Array
inputs = numpy.array(inputsList,ndmin=2).T
#Calculate signals into hidden layer
hiddenInputs = numpy.dot(self.wih, inputs)
#Calculate the output of the hidden layer
hiddenOutputs = self.activationFunction(hiddenInputs)
#calculate signals into the output layer
finalInputs = numpy.dot(self.who,hiddenOutputs)
#Calculate the results
finalOutputs = self.activationFunction(finalInputs)
return finalOutputs
| 39.735849
| 121
| 0.640551
| 482
| 4,212
| 5.589212
| 0.19917
| 0.035635
| 0.035635
| 0.02784
| 0.727171
| 0.727171
| 0.727171
| 0.707869
| 0.696362
| 0.696362
| 0
| 0.007424
| 0.264482
| 4,212
| 105
| 122
| 40.114286
| 0.862169
| 0.235755
| 0
| 0.442308
| 0
| 0
| 0.043126
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.076923
| false
| 0
| 0.057692
| 0
| 0.211538
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
bf09ecfcb4beb7385271c4898287fe0dd265c0de
| 145
|
py
|
Python
|
reddit2telegram/channels/r_tiktok_tits/app.py
|
mainyordle/reddit2telegram
|
1163e15aed3b6ff0fba65b222d3d9798f644c386
|
[
"MIT"
] | 187
|
2016-09-20T09:15:54.000Z
|
2022-03-29T12:22:33.000Z
|
reddit2telegram/channels/r_tiktok_tits/app.py
|
mainyordle/reddit2telegram
|
1163e15aed3b6ff0fba65b222d3d9798f644c386
|
[
"MIT"
] | 84
|
2016-09-22T14:25:07.000Z
|
2022-03-19T01:26:17.000Z
|
reddit2telegram/channels/r_tiktok_tits/app.py
|
mainyordle/reddit2telegram
|
1163e15aed3b6ff0fba65b222d3d9798f644c386
|
[
"MIT"
] | 172
|
2016-09-21T15:39:39.000Z
|
2022-03-16T15:15:58.000Z
|
#encoding:utf-8
subreddit = 'TikTok_Tits'
t_channel = '@r_TikTok_Tits'
def send_post(submission, r2t):
return r2t.send_simple(submission)
| 16.111111
| 38
| 0.751724
| 21
| 145
| 4.904762
| 0.761905
| 0.194175
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.02381
| 0.131034
| 145
| 8
| 39
| 18.125
| 0.793651
| 0.096552
| 0
| 0
| 0
| 0
| 0.192308
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0
| 0.25
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 4
|
17111a7e7c8e456d0ce1828439ee40e36c5a274e
| 70
|
py
|
Python
|
tests/wasp1/AllAnswerSets/builtins_9__N_2.test.py
|
bernardocuteri/wasp
|
05c8f961776dbdbf7afbf905ee00fc262eba51ad
|
[
"Apache-2.0"
] | 19
|
2015-12-03T08:53:45.000Z
|
2022-03-31T02:09:43.000Z
|
tests/wasp1/AllAnswerSets/builtins_9__N_2.test.py
|
bernardocuteri/wasp
|
05c8f961776dbdbf7afbf905ee00fc262eba51ad
|
[
"Apache-2.0"
] | 80
|
2017-11-25T07:57:32.000Z
|
2018-06-10T19:03:30.000Z
|
tests/wasp1/AllAnswerSets/builtins_9__N_2.test.py
|
bernardocuteri/wasp
|
05c8f961776dbdbf7afbf905ee00fc262eba51ad
|
[
"Apache-2.0"
] | 6
|
2015-01-15T07:51:48.000Z
|
2020-06-18T14:47:48.000Z
|
input = """
"""
output = """
{-p(1), number(1), number(2), p(2)}
"""
| 10
| 35
| 0.414286
| 10
| 70
| 2.9
| 0.6
| 0.482759
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.070175
| 0.185714
| 70
| 6
| 36
| 11.666667
| 0.438596
| 0
| 0
| 0.4
| 0
| 0
| 0.542857
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
173892fd367b03715db93579415d459a7ab61aa5
| 266
|
py
|
Python
|
d2go/modeling/modeldef/__init__.py
|
tsubauaaa/d2go
|
9f746159ebf78ce79f644c405ca8695bc29d1075
|
[
"Apache-2.0"
] | null | null | null |
d2go/modeling/modeldef/__init__.py
|
tsubauaaa/d2go
|
9f746159ebf78ce79f644c405ca8695bc29d1075
|
[
"Apache-2.0"
] | null | null | null |
d2go/modeling/modeldef/__init__.py
|
tsubauaaa/d2go
|
9f746159ebf78ce79f644c405ca8695bc29d1075
|
[
"Apache-2.0"
] | null | null | null |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
This is the centralized place to define modeldef for all projects under D2Go.
"""
# @fb-only: from . import fb # isort:skip # noqa
from . import modeldef # noqa
| 24.181818
| 77
| 0.703008
| 39
| 266
| 4.794872
| 0.846154
| 0.106952
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.009302
| 0.191729
| 266
| 10
| 78
| 26.6
| 0.860465
| 0.830827
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
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| 1
| 0
| 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
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
1762400608eddb787be2ae6189253513849bedfe
| 175
|
py
|
Python
|
app-django-demo/mysite/auction/forms.py
|
Xingkai98/AntiqueID-1
|
0daf9ebcdbc59182e5e11a845546f29a289a7c34
|
[
"MIT"
] | 6
|
2018-09-20T03:39:15.000Z
|
2021-02-23T06:20:51.000Z
|
app-django-demo/mysite/auction/forms.py
|
Xingkai98/AntiqueID-1
|
0daf9ebcdbc59182e5e11a845546f29a289a7c34
|
[
"MIT"
] | 3
|
2018-11-03T09:55:38.000Z
|
2018-12-16T13:34:05.000Z
|
app-django-demo/mysite/auction/forms.py
|
Xingkai98/AntiqueID-1
|
0daf9ebcdbc59182e5e11a845546f29a289a7c34
|
[
"MIT"
] | 2
|
2018-09-20T03:39:16.000Z
|
2019-10-21T04:27:58.000Z
|
from django import forms
class PirceForm(forms.Form):
userpirce = forms.CharField(label="用户报价", max_length=128, widget=forms.TextInput(attrs={'class': 'form-control'}))
| 29.166667
| 118
| 0.742857
| 23
| 175
| 5.608696
| 0.782609
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.019108
| 0.102857
| 175
| 5
| 119
| 35
| 0.802548
| 0
| 0
| 0
| 0
| 0
| 0.12
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
176d5d27cf320f25a026bf6ecbf195abf5a91e38
| 236
|
py
|
Python
|
extensions.py
|
sambacha/spdx
|
b4141802a9e59745c3c330d15214237c7289d1d6
|
[
"MIT"
] | 1
|
2021-03-19T04:53:16.000Z
|
2021-03-19T04:53:16.000Z
|
extensions.py
|
sambacha/spdx
|
b4141802a9e59745c3c330d15214237c7289d1d6
|
[
"MIT"
] | 2
|
2020-08-17T01:14:58.000Z
|
2020-08-17T01:16:51.000Z
|
extensions.py
|
sambacha/spdx-runner
|
b4141802a9e59745c3c330d15214237c7289d1d6
|
[
"MIT"
] | null | null | null |
# SPDX-License-Identifier: Apache-2.0
# @version 1.0.0
rules = {
"sol": {"shebang": False, "comment": ["///", "/*", "//"],},
"rs": {"shebang": False, "comment": ["//", "/*"],},
"py": {"shebang": True, "comment": ["#"],},
}
| 26.222222
| 63
| 0.45339
| 23
| 236
| 4.652174
| 0.695652
| 0.224299
| 0.35514
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.025641
| 0.173729
| 236
| 8
| 64
| 29.5
| 0.523077
| 0.211864
| 0
| 0
| 0
| 0
| 0.333333
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
1799e65cdf9dfb66b909b308ca20e778801044de
| 313
|
py
|
Python
|
tests/schema/product/gql/fragments/fragment_product_relation_type_connection.py
|
simonsobs/acondbs
|
6ca11c2889d827ecdb2b54d0cf3b94b8cdd281e6
|
[
"MIT"
] | null | null | null |
tests/schema/product/gql/fragments/fragment_product_relation_type_connection.py
|
simonsobs/acondbs
|
6ca11c2889d827ecdb2b54d0cf3b94b8cdd281e6
|
[
"MIT"
] | 24
|
2020-04-02T19:29:07.000Z
|
2022-03-08T03:05:43.000Z
|
tests/schema/product/gql/fragments/fragment_product_relation_type_connection.py
|
simonsobs/acondbs
|
6ca11c2889d827ecdb2b54d0cf3b94b8cdd281e6
|
[
"MIT"
] | 1
|
2020-04-08T15:48:28.000Z
|
2020-04-08T15:48:28.000Z
|
from .fragment_product_relation_type import FRAGMENT_PRODUCT_RELATION_TYPE
FRAGMENT_PRODUCT_RELATION_TYPE_CONNECTION = '''
fragment fragmentProductRelationTypeConnection on ProductRelationTypeConnection {
edges {
node {
...fragmentProductRelationType
}
}
}
''' + FRAGMENT_PRODUCT_RELATION_TYPE
| 26.083333
| 81
| 0.808307
| 26
| 313
| 9.230769
| 0.5
| 0.25
| 0.383333
| 0.45
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.134185
| 313
| 11
| 82
| 28.454545
| 0.885609
| 0
| 0
| 0
| 0
| 0
| 0.488818
| 0.306709
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.1
| 0
| 0.1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
bd57bdc32754f8ef9f349378c01c700169d32018
| 215
|
py
|
Python
|
tests/test_projectname.py
|
agrc/health-index-indicators
|
4efb9639c878d090ac3f888391dec18ca38d6b16
|
[
"MIT"
] | 1
|
2021-03-17T02:34:52.000Z
|
2021-03-17T02:34:52.000Z
|
tests/test_projectname.py
|
agrc/health-index-indicators
|
4efb9639c878d090ac3f888391dec18ca38d6b16
|
[
"MIT"
] | 12
|
2020-05-18T23:30:34.000Z
|
2021-11-01T21:12:56.000Z
|
tests/test_projectname.py
|
agrc/health-index-indicators
|
4efb9639c878d090ac3f888391dec18ca38d6b16
|
[
"MIT"
] | 5
|
2020-06-17T15:02:09.000Z
|
2021-03-12T17:17:41.000Z
|
#!/usr/bin/env python
# * coding: utf8 *
"""
test_projectname.py
A module that contains tests for the project module.
"""
from projectname import main
def test_hello_returns_hi():
assert main.hello() == 'hi'
| 16.538462
| 52
| 0.706977
| 31
| 215
| 4.774194
| 0.806452
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.005587
| 0.167442
| 215
| 12
| 53
| 17.916667
| 0.821229
| 0.511628
| 0
| 0
| 0
| 0
| 0.020833
| 0
| 0
| 0
| 0
| 0
| 0.333333
| 1
| 0.333333
| true
| 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
| 1
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
bd75a78611cb2c6c9faad044e4eb7ba83aa9e854
| 94
|
py
|
Python
|
__init__.py
|
Severson-Group/MachEval
|
dbb7999188133f8744636da53cab475ae538ce80
|
[
"BSD-3-Clause"
] | 6
|
2021-11-02T20:12:32.000Z
|
2021-11-13T10:50:35.000Z
|
__init__.py
|
Severson-Group/MachEval
|
dbb7999188133f8744636da53cab475ae538ce80
|
[
"BSD-3-Clause"
] | 18
|
2021-11-29T20:14:55.000Z
|
2022-03-02T07:17:37.000Z
|
__init__.py
|
Severson-Group/MachEval
|
dbb7999188133f8744636da53cab475ae538ce80
|
[
"BSD-3-Clause"
] | 1
|
2022-01-29T00:52:38.000Z
|
2022-01-29T00:52:38.000Z
|
# -*- coding: utf-8 -*-
"""
Created on Mon May 30 18:27:14 2022
@author: Martin Johnson
"""
| 11.75
| 35
| 0.595745
| 15
| 94
| 3.733333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.173333
| 0.202128
| 94
| 7
| 36
| 13.428571
| 0.573333
| 0.882979
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
bd7813b0880579a91bdf6fd6c2f80f92913de3ba
| 24
|
py
|
Python
|
variables/prodeu/pdfgeneration_spot.py
|
rohithasrk-bidgely/cloudformation-config-generation
|
d72d362c77b220169b3ccdd0b4a921910f7172ff
|
[
"MIT"
] | null | null | null |
variables/prodeu/pdfgeneration_spot.py
|
rohithasrk-bidgely/cloudformation-config-generation
|
d72d362c77b220169b3ccdd0b4a921910f7172ff
|
[
"MIT"
] | 9
|
2018-07-09T08:46:12.000Z
|
2018-07-18T09:13:03.000Z
|
variables/uat/pdfgeneration_spot.py
|
rohithasrk-bidgely/cloudformation-config-generation
|
d72d362c77b220169b3ccdd0b4a921910f7172ff
|
[
"MIT"
] | null | null | null |
ami_id = "ami-e341c59b"
| 12
| 23
| 0.708333
| 4
| 24
| 4
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.238095
| 0.125
| 24
| 1
| 24
| 24
| 0.52381
| 0
| 0
| 0
| 0
| 0
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 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
| 4
|
bde049a5f5b93f23cb6b637fc340fa2816a27959
| 311
|
py
|
Python
|
Ex4.py
|
EduarTeixeira/Exercicios_LP_3B
|
dfbbd58e1a1c2033ee4f643cc5b60a86a7213f0a
|
[
"MIT"
] | null | null | null |
Ex4.py
|
EduarTeixeira/Exercicios_LP_3B
|
dfbbd58e1a1c2033ee4f643cc5b60a86a7213f0a
|
[
"MIT"
] | null | null | null |
Ex4.py
|
EduarTeixeira/Exercicios_LP_3B
|
dfbbd58e1a1c2033ee4f643cc5b60a86a7213f0a
|
[
"MIT"
] | null | null | null |
n1 = int(input("Digite um número inteiro: "))
n2 = int(input("Digite um número inteiro: "))
n3 = int(input("Digite um número inteiro: "))
n4 = int(input("Digite um número inteiro: "))
n5 = int(input("Digite um número inteiro: "))
lista = [n1, n2, n3, n4, n5]
print("A soma dos números da lista é: ", sum(lista))
| 44.428571
| 52
| 0.662379
| 51
| 311
| 4.039216
| 0.392157
| 0.194175
| 0.339806
| 0.38835
| 0.703884
| 0.703884
| 0
| 0
| 0
| 0
| 0
| 0.038314
| 0.160772
| 311
| 7
| 52
| 44.428571
| 0.750958
| 0
| 0
| 0
| 0
| 0
| 0.516026
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.142857
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
bde9629654eaed70d611f5b2f43f25f3a7a81337
| 86
|
py
|
Python
|
pymapillary/__init__.py
|
khmurakami/pymapillary
|
01412fc4470b0fd0fd9c4eb7540ed6d44fbd0877
|
[
"MIT"
] | 3
|
2019-05-02T21:16:55.000Z
|
2020-10-30T05:07:27.000Z
|
pymapillary/__init__.py
|
khmurakami/pymapillary
|
01412fc4470b0fd0fd9c4eb7540ed6d44fbd0877
|
[
"MIT"
] | null | null | null |
pymapillary/__init__.py
|
khmurakami/pymapillary
|
01412fc4470b0fd0fd9c4eb7540ed6d44fbd0877
|
[
"MIT"
] | 1
|
2020-01-15T08:43:30.000Z
|
2020-01-15T08:43:30.000Z
|
from .pymapillary import Mapillary
from .error_handling import *
from .utils import *
| 21.5
| 34
| 0.802326
| 11
| 86
| 6.181818
| 0.636364
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.139535
| 86
| 3
| 35
| 28.666667
| 0.918919
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
da0bf05662c645dc00767830209590ee55777a4b
| 436
|
py
|
Python
|
code/backend/app/api/service/product_group_service.py
|
ndhngoc91/COMP90082_S1_TO_2021
|
91cc5d039df3b4d271b100a9afec99897a9501a2
|
[
"MIT"
] | 2
|
2021-08-22T05:10:27.000Z
|
2021-11-08T12:57:27.000Z
|
code/backend/app/api/service/product_group_service.py
|
ndhngoc91/COMP90082_S1_TO_2021
|
91cc5d039df3b4d271b100a9afec99897a9501a2
|
[
"MIT"
] | null | null | null |
code/backend/app/api/service/product_group_service.py
|
ndhngoc91/COMP90082_S1_TO_2021
|
91cc5d039df3b4d271b100a9afec99897a9501a2
|
[
"MIT"
] | 1
|
2021-08-21T19:51:33.000Z
|
2021-08-21T19:51:33.000Z
|
from typing import Optional, List
from sqlalchemy.orm import Session
from app.api import models, schemas
from app.api.repository import product_group_repo
def get_all_product_groups(db: Session):
return product_group_repo.get_all_product_groups(db=db)
def get_product_groups_of_many_pacakges(package_ids: List[int], db: Session):
return product_group_repo.get_product_groups_of_many_packages(package_ids=package_ids, db=db)
| 33.538462
| 97
| 0.837156
| 70
| 436
| 4.857143
| 0.414286
| 0.152941
| 0.141176
| 0.111765
| 0.429412
| 0.2
| 0.2
| 0
| 0
| 0
| 0
| 0
| 0.098624
| 436
| 12
| 98
| 36.333333
| 0.86514
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.5
| 0.25
| 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
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 4
|
da34ab3a2897bed596ca847819cc59538c9ad8ef
| 115
|
py
|
Python
|
python/testData/refactoring/pullup/fieldMove/Class.after.py
|
teddywest32/intellij-community
|
e0268d7a1da1d318b441001448cdd3e8929b2f29
|
[
"Apache-2.0"
] | null | null | null |
python/testData/refactoring/pullup/fieldMove/Class.after.py
|
teddywest32/intellij-community
|
e0268d7a1da1d318b441001448cdd3e8929b2f29
|
[
"Apache-2.0"
] | null | null | null |
python/testData/refactoring/pullup/fieldMove/Class.after.py
|
teddywest32/intellij-community
|
e0268d7a1da1d318b441001448cdd3e8929b2f29
|
[
"Apache-2.0"
] | 1
|
2020-11-27T10:36:50.000Z
|
2020-11-27T10:36:50.000Z
|
from SuperClass import SuperClass
class AnyClass(SuperClass):
def __init__(self):
super().__init__()
| 16.428571
| 33
| 0.704348
| 12
| 115
| 6.083333
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.2
| 115
| 6
| 34
| 19.166667
| 0.793478
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0
| 0.75
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
da3c85053d535171d2ed14e1061c937653f66123
| 72
|
py
|
Python
|
code/tools/__init__.py
|
LordZagreus/LodeRunner
|
68aab36be47cabe31e52f3ee43520bdafcdf3c95
|
[
"MIT"
] | 1
|
2017-10-31T22:26:22.000Z
|
2017-10-31T22:26:22.000Z
|
code/tools/__init__.py
|
team-sparrow/LodeRunner
|
68aab36be47cabe31e52f3ee43520bdafcdf3c95
|
[
"MIT"
] | 2
|
2019-07-05T03:17:18.000Z
|
2019-07-08T16:15:29.000Z
|
code/tools/__init__.py
|
team-sparrow/LodeRunner
|
68aab36be47cabe31e52f3ee43520bdafcdf3c95
|
[
"MIT"
] | 1
|
2020-10-15T09:03:20.000Z
|
2020-10-15T09:03:20.000Z
|
# This directory contains tool-type modules.
# DO NOT REMOVE THIS FILE.
| 24
| 44
| 0.763889
| 11
| 72
| 5
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 72
| 2
| 45
| 36
| 0.916667
| 0.930556
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
da3f591512cf71ae340d0c9cc4d376063566c847
| 535
|
py
|
Python
|
apps/common/baseResp.py
|
Iamnilaoba/pojian
|
5972233254c6852c8a6661c8327d5da2d2105530
|
[
"Apache-2.0"
] | 2
|
2018-10-24T07:42:55.000Z
|
2018-10-24T07:43:02.000Z
|
apps/common/baseResp.py
|
Iamnilaoba/pojian
|
5972233254c6852c8a6661c8327d5da2d2105530
|
[
"Apache-2.0"
] | null | null | null |
apps/common/baseResp.py
|
Iamnilaoba/pojian
|
5972233254c6852c8a6661c8327d5da2d2105530
|
[
"Apache-2.0"
] | null | null | null |
#定义个返回response类，方便使用
class BaseResp:
def __init__(self,code,msg,data=None):
self.code=code
self.msg=msg
self.data=data
class respCode:
SUCCESS=200
UNAUTHERROR=401
PARAMERR=402
def respSuccess(msg,data=None):
return BaseResp(code=respCode.SUCCESS,msg=msg,data=data).__dict__
def respParamErr(msg='参数错误',data=None):
return BaseResp(code=respCode.PARAMERR,msg=msg,data=data).__dict__
def respUnAutherr(msg='没有访问权限'):
return BaseResp(code=respCode.UNAUTHERROR,msg=msg).__dict__
| 20.576923
| 70
| 0.719626
| 71
| 535
| 5.197183
| 0.352113
| 0.075881
| 0.146341
| 0.211382
| 0.298103
| 0.298103
| 0
| 0
| 0
| 0
| 0
| 0.020045
| 0.160748
| 535
| 25
| 71
| 21.4
| 0.801782
| 0.035514
| 0
| 0
| 0
| 0
| 0.019608
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.266667
| false
| 0
| 0
| 0.2
| 0.8
| 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
| 1
| 1
| 0
|
0
| 4
|
da5f2dc9aea7c1f6b66fc3bf31c01a66c0c8f00c
| 57
|
py
|
Python
|
nn/model/__init__.py
|
yuzuka4573/Dialog
|
8485e916458efcd21a414c4ecb09b79b2f439b99
|
[
"MIT"
] | 61
|
2019-10-24T00:11:31.000Z
|
2022-02-27T15:21:40.000Z
|
nn/model/__init__.py
|
yuzuka4573/Dialog
|
8485e916458efcd21a414c4ecb09b79b2f439b99
|
[
"MIT"
] | 10
|
2019-10-23T07:03:02.000Z
|
2021-07-29T06:54:27.000Z
|
nn/model/__init__.py
|
yuzuka4573/Dialog
|
8485e916458efcd21a414c4ecb09b79b2f439b99
|
[
"MIT"
] | 27
|
2019-11-27T22:18:47.000Z
|
2022-03-01T15:35:37.000Z
|
from .encoder_decoder import EncoderDecoder, build_model
| 28.5
| 56
| 0.877193
| 7
| 57
| 6.857143
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.087719
| 57
| 1
| 57
| 57
| 0.923077
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 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
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
e515c8f20d4646fb9da983daa0f8c6005645f44f
| 10,642
|
py
|
Python
|
src/intelliflow/core/application/context/node/marshaling/nodes.py
|
amzn/rheoceros
|
5e8f79d97f8b21d693d3c869b0df70de3d5fd068
|
[
"Apache-2.0",
"MIT-0"
] | 4
|
2022-03-24T04:39:02.000Z
|
2022-03-31T16:41:50.000Z
|
src/intelliflow/core/application/context/node/marshaling/nodes.py
|
amzn/rheoceros
|
5e8f79d97f8b21d693d3c869b0df70de3d5fd068
|
[
"Apache-2.0",
"MIT-0"
] | null | null | null |
src/intelliflow/core/application/context/node/marshaling/nodes.py
|
amzn/rheoceros
|
5e8f79d97f8b21d693d3c869b0df70de3d5fd068
|
[
"Apache-2.0",
"MIT-0"
] | null | null | null |
# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
# SPDX-License-Identifier: Apache-2.0
import copy
import json
from typing import Any, Dict, List, Optional, Sequence
from intelliflow.core.application.context.node.filtered_views import FilteredView
from intelliflow.core.platform.development import HostPlatform
from intelliflow.core.signal_processing import DimensionFilter, Signal, Slot
from intelliflow.core.signal_processing.dimension_constructs import Dimension, DimensionSpec, RawDimensionFilterInput
from intelliflow.core.signal_processing.routing_runtime_constructs import Route
from intelliflow.core.signal_processing.signal import SignalDimensionTuple, SignalDomainSpec, SignalLinkNode, SignalProvider
from ..base import Node
from ..internal import MonitoringConfig
from ..internal.nodes import MonitoringView
class MarshalerNode(Node, SignalProvider):
"""TODO refer doc
Underlying node impls exposes themselves to user-level code via this node which provides a unified API across almost
all of the high-level, generic operations in the framework.
"""
def __init__(
self,
bound: Node,
desc: str
# TODO extended marshaling support
) -> None:
if bound is None:
raise RuntimeError("'bound' is None. MarshalerNode should be bound to a Node")
super().__init__(bound)
self._bound = bound
self._desc = desc
@property
def bound(self) -> Node:
return self._bound
# overrides
@property
def _id(self) -> str:
return self.bound._id
def __call__(self, *dimension_name: Sequence[str]) -> SignalDimensionTuple:
"""Convenience method wrapping `dimension()`"""
return self.dimension(*dimension_name)
def dimension(self, *dimensions: Sequence[str]) -> SignalDimensionTuple:
signal: Signal = self._bound.signal().clone(None)
dims: List[Dimension] = []
for dimension_name in dimensions:
dim: Optional[Dimension] = signal.domain_spec.dimension_spec.find_dimension_by_name(dimension_name)
if not dim:
raise ValueError(f"Cannot find dimension {dimension_name} in {signal!r}")
dims.append(dim)
return SignalDimensionTuple(signal, *dims)
def as_reference(self) -> "MarshalingView":
return MarshalingView(self, self.signal(), None).as_reference()
def reference(self) -> "MarshalingView":
return self.as_reference()
@property
def ref(self) -> "MarshalingView":
return self.as_reference()
def range_check(self, enabled: Optional[bool] = True) -> "MarshalingView":
return MarshalingView(self, self.signal(), None).range_check(enabled)
def check_range(self) -> "MarshalingView":
return self.range_check(True)
def nearest(self) -> "MarshalingView":
return MarshalingView(self, self.signal(), None).nearest()
def latest(self) -> "MarshalingView":
return self.nearest()
def filter(self, new_filter: RawDimensionFilterInput, new_alias: str) -> Signal:
"""Build a new filtered version of the signal this node is tracking / bound to"""
return self._bound.signal().chain(new_filter, new_alias)
def __invert__(self) -> Any:
"""Overwrite bitwise not for high-level convenient operations between Signals."""
return ~self.signal()
def __and__(self, other) -> Any:
"""Overwrite bitwise & for high-level operations operations between Signals."""
return self.signal() & other
def __or__(self, other) -> Any:
"""Overwrite bitwise | for high-level operations operations between Signals."""
return self.signal() | other
def __getitem__(self, slice_filter) -> "MarshalingView":
"""Convenience indexing method for high-level modules to build new filters for a Signal.
Please see :class:`FilteredView` :: `__getitem__` for more details.
This initiates the first level for the target filter and returns a FilteredView.
After that, nested levels of the filter can be created by subsequent (cascaded) calls
to FilterView chain.
Parameters
----------
slice_filter: a single value or a slice (i.e [start:end] without step) or multiple slices (numpy style).
Returns
-------
:class:`FilteredView` : a new filtered view wrapping the same source `Signal` (copy semantics)
"""
if self.signal().domain_spec.dimension_filter_spec:
dimension = next(iter(self.signal().domain_spec.dimension_spec.get_flattened_dimension_map().keys()))
return MarshalingView(self, self.signal(), FilteredView.get_raw_filtering_input(slice_filter, dimension))
else:
raise ValueError(f"Cannot create a filtered view on a Signal with no dimensions! Signal: {self.signal()!r}")
# overrides
def do_activate(self, platform: HostPlatform) -> None:
"""TODO post-MVP
auto-generate marshaler/listener code to extract our metadata/marshalling
info from the input data node.
platform.connect_internal(Route(self._node_id,
self._signal_link_node,
self._output_signal,
self._output_dim_matrix,
self._slots(),
self._auto_backfilling_enabled))
"""
pass
# overrides
def signal(self) -> Optional[Signal]:
return self._bound.signal()
# overrides SignalProvider::get_signal
def get_signal(self, alias: str = None) -> Signal:
signal = self._bound.signal()
return signal.clone(signal.alias if alias is None else alias)
# overrides
def _slots(self) -> Optional[List[Slot]]:
pass
def add_monitor(self, filter: DimensionFilter, config: MonitoringConfig):
# TODO post-MVP create a child MonitoringNode.
# - (?) append another MarshalerNode to it, and return that new marshaler.
pass
def describe(self) -> str:
# TODO merge with FilteredView::stats. Move to a common node analyzer module.
signal: Signal = self._bound.signal()
stats = {"id/alias": signal.alias, "source_type": signal.resource_access_spec.source.value}
if signal.type.is_metric():
stats.update({"metric_stats": signal.resource_access_spec.create_stats_from_filter(signal.domain_spec.dimension_filter_spec)})
else:
stats.update(
{
"dimensions": [
(dim_name, dim.type, dim.params)
for dim_name, dim in signal.domain_spec.dimension_spec.get_flattened_dimension_map().items()
],
"current_filter_values": signal.domain_spec.dimension_filter_spec.pretty(),
}
)
return json.dumps(stats, indent=10, default=repr)
def access_spec(self) -> Dict[str, Any]:
signal: Signal = self._bound.signal()
return {
"id": self._bound._id,
"source_type": signal.resource_access_spec.source.value,
"path_format": signal.resource_access_spec.path_format,
"attributes": copy.deepcopy(signal.resource_access_spec.attrs),
}
def attributes(self) -> Dict[Any, Any]:
return self.access_spec()["attributes"]
def metadata(self) -> str:
return json.dumps(self.attributes(), indent=6, default=repr)
''' TODO enable this functionality once there is an workaround for calls onto this from serialization.
def __getattr__(self, item) -> Any:
"""Enables convenient access into attributes/metadata.
Gets called whenever an item is not found via __getattribute__
Example (based on user defined / custom metadata:
my_data.CTI
my_data.partition_keys
my_data.columns
"""
attrs = self.attributes()
for key, value in attrs.items():
if item.lower() == key.lower():
return value
raise AttributeError(f"item {item!r} cannot be found in {json.dumps(attrs, indent=6)}")
'''
def domain_spec(self) -> SignalDomainSpec:
return copy.deepcopy(self._bound.signal().domain_spec)
def dimension_spec(self) -> DimensionSpec:
return copy.deepcopy(self._bound.signal().domain_spec.dimension_spec)
def dimension_filter_spec(self) -> DimensionFilter:
return copy.deepcopy(self._bound.signal().domain_spec.dimension_filter_spec)
def paths(self) -> List[str]:
return self._bound.signal().get_materialized_resource_paths()
def path_format(self) -> str:
return self._bound.signal().resource_access_spec.path_format
def dimensions(self) -> str:
"""render human-readable dimension spec in name:type pairs and also render dimension filter."""
return json.dumps(
{
"dimensions": [
(dim_name, dim.type, dim.params)
for dim_name, dim in self._bound.signal().domain_spec.dimension_spec.get_flattened_dimension_map().items()
],
"current_filter_values": self._bound.signal().domain_spec.dimension_filter_spec.pretty(),
},
indent=11,
)
def partitions(self) -> str:
return self.dimensions()
def dimension_values(self) -> str:
return json.dumps(self._bound.signal().domain_spec.dimension_filter_spec.pretty(), indent=10)
def partition_values(self) -> str:
return self.dimension_values()
class MarshalingView(FilteredView):
def __init__(self, marshaler_node: MarshalerNode, signal: Signal, filtering_levels: RawDimensionFilterInput) -> None:
self._marshaler_node = marshaler_node
super().__init__(signal, filtering_levels)
@property
def marshaler_node(self) -> MarshalerNode:
return self._marshaler_node
# overrides
def _chain(self, signal: Signal, filtering_levels: RawDimensionFilterInput) -> "FilterView":
return self.__class__(self._marshaler_node, signal, filtering_levels)
def is_ready(self) -> bool:
target_resource_range: Signal = self.get_signal()
# TODO post-MVP
# using the integrity check protocol from the signal
# check each
# target_resource_range.get_materialized_access_specs()
pass
def add_monitoring(self) -> MonitoringView:
# TODO post-MVP
# add
pass
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|
0
| 4
|
e51924b07a5072140d6a432d31fb946aa3093b51
| 8,141
|
py
|
Python
|
sales_analysis/data_pipeline/tests/test_data.py
|
jbmoorhouse/sales_analysis
|
229db8de3cd7e742142effd7fd8b74f0827bb5f7
|
[
"BSD-3-Clause"
] | null | null | null |
sales_analysis/data_pipeline/tests/test_data.py
|
jbmoorhouse/sales_analysis
|
229db8de3cd7e742142effd7fd8b74f0827bb5f7
|
[
"BSD-3-Clause"
] | null | null | null |
sales_analysis/data_pipeline/tests/test_data.py
|
jbmoorhouse/sales_analysis
|
229db8de3cd7e742142effd7fd8b74f0827bb5f7
|
[
"BSD-3-Clause"
] | null | null | null |
from sales_analysis.data_pipeline import BASEPATH
from sales_analysis.data_pipeline._pipeline import SalesPipeline
import pytest
import os
import pandas as pd
# --------------------------------------------------------------------------
# Fixtures
@pytest.fixture
def pipeline():
FILEPATH = os.path.join(BASEPATH, "data")
DATA_FILES = [f for f in os.listdir(FILEPATH) if f.endswith('.csv')]
DATA = {f : pd.read_csv(os.path.join(FILEPATH, f)) for f in DATA_FILES}
return SalesPipeline(**DATA)
# --------------------------------------------------------------------------
# Data
data = {'customers': {pd.Timestamp('2019-08-01 00:00:00'): 9,
pd.Timestamp('2019-08-02 00:00:00'): 10,
pd.Timestamp('2019-08-03 00:00:00'): 10,
pd.Timestamp('2019-08-04 00:00:00'): 10,
pd.Timestamp('2019-08-05 00:00:00'): 9,
pd.Timestamp('2019-08-06 00:00:00'): 9,
pd.Timestamp('2019-08-07 00:00:00'): 10,
pd.Timestamp('2019-08-08 00:00:00'): 8,
pd.Timestamp('2019-08-09 00:00:00'): 5,
pd.Timestamp('2019-08-10 00:00:00'): 5,
pd.Timestamp('2019-08-11 00:00:00'): 10,
pd.Timestamp('2019-08-12 00:00:00'): 10,
pd.Timestamp('2019-08-13 00:00:00'): 6,
pd.Timestamp('2019-08-14 00:00:00'): 7,
pd.Timestamp('2019-08-15 00:00:00'): 10,
pd.Timestamp('2019-08-16 00:00:00'): 8,
pd.Timestamp('2019-08-17 00:00:00'): 7,
pd.Timestamp('2019-08-18 00:00:00'): 9,
pd.Timestamp('2019-08-19 00:00:00'): 5,
pd.Timestamp('2019-08-20 00:00:00'): 5},
'total_discount_amount': {pd.Timestamp('2019-08-01 00:00:00'): 15152814.736907512,
pd.Timestamp('2019-08-02 00:00:00'): 20061245.64408109,
pd.Timestamp('2019-08-03 00:00:00'): 26441693.751396574,
pd.Timestamp('2019-08-04 00:00:00'): 25783015.567048658,
pd.Timestamp('2019-08-05 00:00:00'): 16649773.993076814,
pd.Timestamp('2019-08-06 00:00:00'): 24744027.428384878,
pd.Timestamp('2019-08-07 00:00:00'): 21641181.771564845,
pd.Timestamp('2019-08-08 00:00:00'): 27012160.85245146,
pd.Timestamp('2019-08-09 00:00:00'): 13806814.237002019,
pd.Timestamp('2019-08-10 00:00:00'): 9722459.599448118,
pd.Timestamp('2019-08-11 00:00:00'): 20450260.26194652,
pd.Timestamp('2019-08-12 00:00:00'): 22125711.151501,
pd.Timestamp('2019-08-13 00:00:00'): 11444206.200090334,
pd.Timestamp('2019-08-14 00:00:00'): 17677326.65707852,
pd.Timestamp('2019-08-15 00:00:00'): 26968819.12338184,
pd.Timestamp('2019-08-16 00:00:00'): 22592246.991756547,
pd.Timestamp('2019-08-17 00:00:00'): 15997597.519811645,
pd.Timestamp('2019-08-18 00:00:00'): 17731498.506244037,
pd.Timestamp('2019-08-19 00:00:00'): 22127822.876592986,
pd.Timestamp('2019-08-20 00:00:00'): 5550506.789972418},
'items': {pd.Timestamp('2019-08-01 00:00:00'): 2895,
pd.Timestamp('2019-08-02 00:00:00'): 3082,
pd.Timestamp('2019-08-03 00:00:00'): 3559,
pd.Timestamp('2019-08-04 00:00:00'): 3582,
pd.Timestamp('2019-08-05 00:00:00'): 2768,
pd.Timestamp('2019-08-06 00:00:00'): 3431,
pd.Timestamp('2019-08-07 00:00:00'): 2767,
pd.Timestamp('2019-08-08 00:00:00'): 2643,
pd.Timestamp('2019-08-09 00:00:00'): 1506,
pd.Timestamp('2019-08-10 00:00:00'): 1443,
pd.Timestamp('2019-08-11 00:00:00'): 2466,
pd.Timestamp('2019-08-12 00:00:00'): 3482,
pd.Timestamp('2019-08-13 00:00:00'): 1940,
pd.Timestamp('2019-08-14 00:00:00'): 1921,
pd.Timestamp('2019-08-15 00:00:00'): 3479,
pd.Timestamp('2019-08-16 00:00:00'): 3053,
pd.Timestamp('2019-08-17 00:00:00'): 2519,
pd.Timestamp('2019-08-18 00:00:00'): 2865,
pd.Timestamp('2019-08-19 00:00:00'): 1735,
pd.Timestamp('2019-08-20 00:00:00'): 1250},
'order_total_avg': {pd.Timestamp('2019-08-01 00:00:00'): 1182286.0960463749,
pd.Timestamp('2019-08-02 00:00:00'): 1341449.559055637,
pd.Timestamp('2019-08-03 00:00:00'): 1270616.0372525519,
pd.Timestamp('2019-08-04 00:00:00'): 1069011.1516039693,
pd.Timestamp('2019-08-05 00:00:00'): 1355304.7342628485,
pd.Timestamp('2019-08-06 00:00:00'): 1283968.435650978,
pd.Timestamp('2019-08-07 00:00:00'): 1319110.4787216866,
pd.Timestamp('2019-08-08 00:00:00'): 1027231.5196824896,
pd.Timestamp('2019-08-09 00:00:00'): 1201471.0717715647,
pd.Timestamp('2019-08-10 00:00:00'): 1314611.2300065856,
pd.Timestamp('2019-08-11 00:00:00'): 1186152.4565363638,
pd.Timestamp('2019-08-12 00:00:00'): 1155226.4552911327,
pd.Timestamp('2019-08-13 00:00:00'): 1346981.8930212667,
pd.Timestamp('2019-08-14 00:00:00'): 1019646.0386455443,
pd.Timestamp('2019-08-15 00:00:00'): 1286793.278547962,
pd.Timestamp('2019-08-16 00:00:00'): 1254721.8660029566,
pd.Timestamp('2019-08-17 00:00:00'): 1419237.673786449,
pd.Timestamp('2019-08-18 00:00:00'): 1173087.9508403398,
pd.Timestamp('2019-08-19 00:00:00'): 1162434.8033358732,
pd.Timestamp('2019-08-20 00:00:00'): 1046669.750923031},
'discount_rate_avg': {pd.Timestamp('2019-08-01 00:00:00'): 0.1252497888814673,
pd.Timestamp('2019-08-02 00:00:00'): 0.12950211356271726,
pd.Timestamp('2019-08-03 00:00:00'): 0.1490744307031331,
pd.Timestamp('2019-08-04 00:00:00'): 0.15162918618667656,
pd.Timestamp('2019-08-05 00:00:00'): 0.13130630218741238,
pd.Timestamp('2019-08-06 00:00:00'): 0.13373546744128126,
pd.Timestamp('2019-08-07 00:00:00'): 0.15567735848995318,
pd.Timestamp('2019-08-08 00:00:00'): 0.20265603603112725,
pd.Timestamp('2019-08-09 00:00:00'): 0.17727372441724282,
pd.Timestamp('2019-08-10 00:00:00'): 0.1420197829256685,
pd.Timestamp('2019-08-11 00:00:00'): 0.15144502071841046,
pd.Timestamp('2019-08-12 00:00:00'): 0.12961399577196853,
pd.Timestamp('2019-08-13 00:00:00'): 0.12731849238164458,
pd.Timestamp('2019-08-14 00:00:00'): 0.20101097686303473,
pd.Timestamp('2019-08-15 00:00:00'): 0.14895723666327493,
pd.Timestamp('2019-08-16 00:00:00'): 0.12871697115230343,
pd.Timestamp('2019-08-17 00:00:00'): 0.14041300964840808,
pd.Timestamp('2019-08-18 00:00:00'): 0.13535199553408908,
pd.Timestamp('2019-08-19 00:00:00'): 0.21438859223995432,
pd.Timestamp('2019-08-20 00:00:00'): 0.11914043920600781}}
# --------------------------------------------------------------------------
# Tests
@pytest.mark.parametrize(
"attribute",
[
("orders"),
("commissions"),
("order_lines"),
("product_promotions"),
("products"),
("promotions")
]
)
def test_instance(pipeline, attribute):
assert hasattr(pipeline, attribute)
@pytest.mark.parametrize("solution", [data])
def test_summary(pipeline, solution):
summary = pipeline.summary()
assert summary.iloc[:20].equals(pd.DataFrame.from_dict(data))
| 56.93007
| 83
| 0.531139
| 1,083
| 8,141
| 3.975069
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0
| 4
|
e55ba7b6a5aff26fe575bdd5535fad045ffcbb3e
| 254
|
py
|
Python
|
test/test_import.py
|
jlubken/dsdk
|
ffd8a3ebab0488612396640578deb463ce0e8e74
|
[
"MIT"
] | 6
|
2020-03-27T20:56:27.000Z
|
2022-01-11T16:10:22.000Z
|
test/test_import.py
|
jlubken/dsdk
|
ffd8a3ebab0488612396640578deb463ce0e8e74
|
[
"MIT"
] | 37
|
2019-12-11T21:15:21.000Z
|
2021-12-22T14:57:38.000Z
|
test/test_import.py
|
jlubken/dsdk
|
ffd8a3ebab0488612396640578deb463ce0e8e74
|
[
"MIT"
] | 5
|
2020-03-31T16:30:48.000Z
|
2022-02-10T20:50:34.000Z
|
# -*- coding: utf-8 -*-
"""Test import."""
def test_import():
"""Test import."""
import dsdk # pylint: disable=import-outside-toplevel
assert dsdk.Asset is not None
assert dsdk.Interval is not None
assert dsdk.Service is not None
| 21.166667
| 58
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|
0
| 4
|
e564d44f352fd7ef3897146798ec9870c6b3d51e
| 7,502
|
py
|
Python
|
oidc/tests/conftest.py
|
didx-xyz/yoma-oidc-bridge
|
7e3ff6ab3ea4fed01cd7d4c113c7c3b3244356eb
|
[
"Apache-2.0"
] | 4
|
2020-10-08T07:36:22.000Z
|
2022-02-04T12:31:31.000Z
|
oidc/tests/conftest.py
|
didx-xyz/yoma-oidc-bridge
|
7e3ff6ab3ea4fed01cd7d4c113c7c3b3244356eb
|
[
"Apache-2.0"
] | 1
|
2021-04-10T08:32:42.000Z
|
2021-04-10T08:32:42.000Z
|
oidc/tests/conftest.py
|
didx-xyz/yoma-oidc-bridge
|
7e3ff6ab3ea4fed01cd7d4c113c7c3b3244356eb
|
[
"Apache-2.0"
] | 7
|
2021-02-10T16:04:29.000Z
|
2022-03-16T08:04:48.000Z
|
import pytest
from oidc.models import AuthSession, PresentationConfigurations, MappedUrl
from django.utils import timezone
from datetime import timedelta
from oidc_provider.models import RSAKey
@pytest.fixture
def email_presentation_configuration():
return PresentationConfigurations.objects.create(
id="verified-email",
subject_identifier="email",
configuration={
"name": "Basic Proof",
"version": "1.0",
"requested_attributes": [{"name": "email", "restrictions": []}],
"requested_predicates": [],
},
)
@pytest.fixture
def name_presentation_configuration():
return PresentationConfigurations.objects.create(
id="verified-email",
subject_identifier="name",
configuration={
"name": "Basic Proof",
"version": "1.0",
"requested_attributes": [{"name": "email", "restrictions": []}],
"requested_predicates": [],
},
)
@pytest.fixture
def jwt_key():
# kid 3e3ee3f767a83d16f3cee02eb5e5eb92
return RSAKey.objects.create(
key="""-----BEGIN RSA PRIVATE KEY-----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-----END RSA PRIVATE KEY-----"""
)
@pytest.fixture
def validated_session():
return AuthSession.objects.create(
id="0942a7b2-015d-420a-ac13-242694bcbf6f",
presentation_record_id="verified-email",
presentation_request_id="e2e1b664-5fd9-401d-96bc-26a62c4777a8",
presentation_request={
"@id": "e505dc2a-5320-478f-8c65-a68f04562a47",
"@type": "did:sov:BzCbsNYhMrjHiqZDTUASHg;spec/present-proof/1.0/request-presentation",
"comment": None,
"~service": {
"routingKeys": None,
"recipientKeys": ["2BbGm6Mo9BVkXkn1YGjUoEUBB85Ba7XZW6qfgpMXD3XP"],
"serviceEndpoint": "http://127.0.0.1:8090",
},
"request_presentations~attach": [
{
"@id": "libindy-request-presentation-0",
"data": {
"base64": "eyJuYW1lIjogIkJhc2ljIFByb29mIiwgInZlcnNpb24iOiAiMS4wIiwgInJlcXVlc3RlZF9hdHRyaWJ1dGVzIjogeyJlMmQwMjJiMi0xNDNiLTRiNDctYjI4OS1lMmJhNzYyNTUyZjQiOiB7Im5hbWUiOiAiZW1haWwiLCAicmVzdHJpY3Rpb25zIjogW119fSwgInJlcXVlc3RlZF9wcmVkaWNhdGVzIjoge30sICJub25jZSI6ICIyMDUwOTE3MDc1Mzk4NDk3MDk3MTQyODg0MDIzNjQ5MDQyNDIxMTUifQ=="
},
"mime-type": "application/json",
}
],
},
presentation_request_satisfied=True,
expired_timestamp=timezone.now() + timedelta(days=1),
request_parameters={
"nonce": "vdoOCIrMvSRn2vYcgAV3vszUKb3ACJlD",
"scope": "openid profile vc_authn",
"state": "O8ALJmGFm5ByvYMyWhT7vkzdc3dc5Yds",
"client_id": "770241",
"redirect_uri": "http://127.0.0.1:8080/oidc/auth/cb/",
"response_type": "code",
"pres_req_conf_id": "verified-email",
},
presentation={
"predicates": {},
"revealed_attrs": {
"e2d022b2-143b-4b47-b289-e2ba762552f4": {
"raw": "test@mail.org",
"encoded": "69775574976209370463886362368455342215648530278529236721860183817752792728556",
"sub_proof_index": 0,
}
},
"unrevealed_attrs": {},
"self_attested_attrs": {},
},
)
@pytest.fixture
def non_validated_session():
return AuthSession.objects.create(
id="0942a7b2-015d-420a-ac13-242694bcbf6f",
presentation_record_id="verified-email",
presentation_request_id="e2e1b664-5fd9-401d-96bc-26a62c4777a8",
presentation_request={
"@id": "e505dc2a-5320-478f-8c65-a68f04562a47",
"@type": "did:sov:BzCbsNYhMrjHiqZDTUASHg;spec/present-proof/1.0/request-presentation",
"comment": None,
"~service": {
"routingKeys": None,
"recipientKeys": ["2BbGm6Mo9BVkXkn1YGjUoEUBB85Ba7XZW6qfgpMXD3XP"],
"serviceEndpoint": "http://127.0.0.1:8090",
},
"request_presentations~attach": [
{
"@id": "libindy-request-presentation-0",
"data": {
"base64": "eyJuYW1lIjogIkJhc2ljIFByb29mIiwgInZlcnNpb24iOiAiMS4wIiwgInJlcXVlc3RlZF9hdHRyaWJ1dGVzIjogeyJlMmQwMjJiMi0xNDNiLTRiNDctYjI4OS1lMmJhNzYyNTUyZjQiOiB7Im5hbWUiOiAiZW1haWwiLCAicmVzdHJpY3Rpb25zIjogW119fSwgInJlcXVlc3RlZF9wcmVkaWNhdGVzIjoge30sICJub25jZSI6ICIyMDUwOTE3MDc1Mzk4NDk3MDk3MTQyODg0MDIzNjQ5MDQyNDIxMTUifQ=="
},
"mime-type": "application/json",
}
],
},
presentation_request_satisfied=False,
expired_timestamp=timezone.now() + timedelta(days=1),
request_parameters={
"nonce": "vdoOCIrMvSRn2vYcgAV3vszUKb3ACJlD",
"scope": "openid profile vc_authn",
"state": "O8ALJmGFm5ByvYMyWhT7vkzdc3dc5Yds",
"client_id": "770241",
"redirect_uri": "http://127.0.0.1:8080/oidc/auth/cb/",
"response_type": "code",
"pres_req_conf_id": "verified-email",
},
presentation={
"predicates": {},
"revealed_attrs": {
"e2d022b2-143b-4b47-b289-e2ba762552f4": {
"raw": "test@mail.org",
"encoded": "69775574976209370463886362368455342215648530278529236721860183817752792728556",
"sub_proof_index": 0,
}
},
"unrevealed_attrs": {},
"self_attested_attrs": {},
},
)
@pytest.fixture
def mapped_url(non_validated_session):
return MappedUrl.objects.create(url="http://url.com", session=non_validated_session)
| 42.868571
| 340
| 0.675153
| 482
| 7,502
| 10.371369
| 0.429461
| 0.015603
| 0.019204
| 0.021604
| 0.605321
| 0.605321
| 0.605321
| 0.605321
| 0.605321
| 0.605321
| 0
| 0.133299
| 0.225007
| 7,502
| 174
| 341
| 43.114943
| 0.726522
| 0.004799
| 0
| 0.571429
| 0
| 0
| 0.561227
| 0.418274
| 0
| 1
| 0
| 0
| 0
| 1
| 0.037267
| false
| 0
| 0.031056
| 0.037267
| 0.10559
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
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| 0
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| null | 1
| 0
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| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
e594290d2512b9d1f6fb0279b552a067dff1ff1d
| 157
|
py
|
Python
|
entities/status.py
|
MiKoronjoo/snappfood-database
|
d413e96f0063f971051ecb7b9ace6608c97e3017
|
[
"MIT"
] | 2
|
2020-07-24T07:12:50.000Z
|
2020-08-11T09:13:14.000Z
|
entities/status.py
|
MiKoronjoo/snappfood-database
|
d413e96f0063f971051ecb7b9ace6608c97e3017
|
[
"MIT"
] | null | null | null |
entities/status.py
|
MiKoronjoo/snappfood-database
|
d413e96f0063f971051ecb7b9ace6608c97e3017
|
[
"MIT"
] | null | null | null |
from entities.entity import Entity
class Status(Entity):
def __init__(self, statusId, name):
self.statusId = statusId
self.name = name
| 19.625
| 39
| 0.675159
| 19
| 157
| 5.368421
| 0.578947
| 0.235294
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.242038
| 157
| 7
| 40
| 22.428571
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.2
| 0
| 0.6
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
e59ed03763f8f180fb491d37d97e9eb0dff2c878
| 62,809
|
py
|
Python
|
pacu/models/awsapi/autoscaling.py
|
RyanJarv/Pacu2
|
27df4bcf296fc8f467d3dc671a47bf9519ce7a24
|
[
"MIT"
] | 1
|
2022-03-09T14:51:54.000Z
|
2022-03-09T14:51:54.000Z
|
pacu/models/awsapi/autoscaling.py
|
RyanJarv/Pacu2
|
27df4bcf296fc8f467d3dc671a47bf9519ce7a24
|
[
"MIT"
] | null | null | null |
pacu/models/awsapi/autoscaling.py
|
RyanJarv/Pacu2
|
27df4bcf296fc8f467d3dc671a47bf9519ce7a24
|
[
"MIT"
] | null | null | null |
# generated by datamodel-codegen:
# filename: openapi.yaml
# timestamp: 2021-12-31T02:45:28+00:00
from __future__ import annotations
from datetime import datetime
from enum import Enum
from typing import Annotated, Any, List, Optional
from pydantic import BaseModel, Field
class XmlStringMaxLen19(BaseModel):
__root__: Annotated[str, Field(max_length=19, min_length=1)]
class ResourceContentionFault(BaseModel):
__root__: Any
class ServiceLinkedRoleFailure(ResourceContentionFault):
pass
class AttachLoadBalancerTargetGroupsResultType(BaseModel):
pass
class XmlStringMaxLen511(BaseModel):
__root__: Annotated[str, Field(max_length=511, min_length=1)]
class AttachLoadBalancersResultType(AttachLoadBalancerTargetGroupsResultType):
pass
class XmlStringMaxLen255(BaseModel):
__root__: Annotated[str, Field(max_length=255, min_length=1)]
class AlreadyExistsFault(ResourceContentionFault):
pass
class LimitExceededFault(ResourceContentionFault):
pass
class CancelInstanceRefreshAnswer(BaseModel):
InstanceRefreshId: Optional[XmlStringMaxLen255] = None
class ActiveInstanceRefreshNotFoundFault(ResourceContentionFault):
pass
class CompleteLifecycleActionAnswer(AttachLoadBalancerTargetGroupsResultType):
pass
class LaunchTemplateName(BaseModel):
__root__: Annotated[
str, Field(max_length=128, min_length=3, regex='[a-zA-Z0-9\\(\\)\\.\\-/_]+')
]
class XmlStringMaxLen1600(BaseModel):
__root__: Annotated[str, Field(max_length=1600, min_length=1)]
class XmlString(BaseModel):
__root__: str
class MonitoringEnabled(BaseModel):
__root__: bool
class InstanceMetadataHttpTokensState(Enum):
optional = 'optional'
required = 'required'
class InstanceMetadataHttpPutResponseHopLimit(BaseModel):
__root__: Annotated[int, Field(ge=1.0, le=64.0)]
class InstanceMetadataEndpointState(Enum):
disabled = 'disabled'
enabled = 'enabled'
class ResourceInUseFault(ResourceContentionFault):
pass
class ScalingActivityInProgressFault(ResourceContentionFault):
pass
class DeleteLifecycleHookAnswer(AttachLoadBalancerTargetGroupsResultType):
pass
class DeleteWarmPoolAnswer(AttachLoadBalancerTargetGroupsResultType):
pass
class InvalidNextToken(ResourceContentionFault):
pass
class AsciiStringMaxLen255(BaseModel):
__root__: Annotated[
str, Field(max_length=255, min_length=1, regex='[A-Za-z0-9\\-_\\/]+')
]
class ResourceName(XmlStringMaxLen1600):
pass
class XmlStringMaxLen64(BaseModel):
__root__: Annotated[str, Field(max_length=64, min_length=1)]
class DetachLoadBalancerTargetGroupsResultType(
AttachLoadBalancerTargetGroupsResultType
):
pass
class DetachLoadBalancersResultType(AttachLoadBalancerTargetGroupsResultType):
pass
class PutLifecycleHookAnswer(AttachLoadBalancerTargetGroupsResultType):
pass
class MetricScale(BaseModel):
__root__: float
class DisableScaleIn(MonitoringEnabled):
pass
class PredictiveScalingMode(Enum):
ForecastAndScale = 'ForecastAndScale'
ForecastOnly = 'ForecastOnly'
class PredictiveScalingSchedulingBufferTime(BaseModel):
__root__: Annotated[int, Field(ge=0.0)]
class PredictiveScalingMaxCapacityBreachBehavior(Enum):
HonorMaxCapacity = 'HonorMaxCapacity'
IncreaseMaxCapacity = 'IncreaseMaxCapacity'
class PredictiveScalingMaxCapacityBuffer(BaseModel):
__root__: Annotated[int, Field(ge=0.0, le=100.0)]
class PutWarmPoolAnswer(AttachLoadBalancerTargetGroupsResultType):
pass
class RecordLifecycleActionHeartbeatAnswer(AttachLoadBalancerTargetGroupsResultType):
pass
class SetInstanceProtectionAnswer(AttachLoadBalancerTargetGroupsResultType):
pass
class StartInstanceRefreshAnswer(CancelInstanceRefreshAnswer):
pass
class LaunchTemplateSpecification(BaseModel):
"""
Describes the launch template and the version of the launch template that Amazon EC2 Auto Scaling uses to launch Amazon EC2 instances. For more information about launch templates, see <a href="https://docs.aws.amazon.com/autoscaling/ec2/userguide/LaunchTemplates.html">Launch templates</a> in the <i>Amazon EC2 Auto Scaling User Guide</i>.
"""
LaunchTemplateId: Optional[XmlStringMaxLen255] = None
LaunchTemplateName: Optional[LaunchTemplateName] = None
Version: Optional[XmlStringMaxLen255] = None
class IntPercent(PredictiveScalingMaxCapacityBuffer):
pass
class RefreshInstanceWarmup(PredictiveScalingSchedulingBufferTime):
pass
class CheckpointDelay(BaseModel):
__root__: Annotated[int, Field(ge=0.0, le=172800.0)]
class SkipMatching(MonitoringEnabled):
pass
class InstanceRefreshInProgressFault(ResourceContentionFault):
pass
class XmlStringMaxLen1023(BaseModel):
__root__: Annotated[str, Field(max_length=1023, min_length=1)]
class TimestampType(BaseModel):
__root__: datetime
class ScalingActivityStatusCode(Enum):
PendingSpotBidPlacement = 'PendingSpotBidPlacement'
WaitingForSpotInstanceRequestId = 'WaitingForSpotInstanceRequestId'
WaitingForSpotInstanceId = 'WaitingForSpotInstanceId'
WaitingForInstanceId = 'WaitingForInstanceId'
PreInService = 'PreInService'
InProgress = 'InProgress'
WaitingForELBConnectionDraining = 'WaitingForELBConnectionDraining'
MidLifecycleAction = 'MidLifecycleAction'
WaitingForInstanceWarmup = 'WaitingForInstanceWarmup'
Successful = 'Successful'
Failed = 'Failed'
Cancelled = 'Cancelled'
class Progress(BaseModel):
__root__: int
class AutoScalingGroupState(BaseModel):
__root__: Annotated[str, Field(max_length=32, min_length=1)]
class ActivityIds(BaseModel):
__root__: List[XmlString]
class AdjustmentType(BaseModel):
"""
Describes a policy adjustment type.
"""
AdjustmentType: Optional[XmlStringMaxLen255] = None
class AdjustmentTypes(BaseModel):
__root__: List[AdjustmentType]
class Alarm(BaseModel):
"""
Describes an alarm.
"""
AlarmName: Optional[XmlStringMaxLen255] = None
AlarmARN: Optional[ResourceName] = None
class Alarms(BaseModel):
__root__: List[Alarm]
class AssociatePublicIpAddress(MonitoringEnabled):
pass
class InstanceIds(BaseModel):
__root__: List[XmlStringMaxLen19]
class AttachInstancesQuery(BaseModel):
InstanceIds: Optional[InstanceIds] = None
AutoScalingGroupName: XmlStringMaxLen255
class TargetGroupARNs(BaseModel):
__root__: List[XmlStringMaxLen511]
class AttachLoadBalancerTargetGroupsType(BaseModel):
AutoScalingGroupName: XmlStringMaxLen255
TargetGroupARNs: TargetGroupARNs
class LoadBalancerNames(BaseModel):
__root__: List[XmlStringMaxLen255]
class AttachLoadBalancersType(BaseModel):
AutoScalingGroupName: XmlStringMaxLen255
LoadBalancerNames: LoadBalancerNames
class AutoScalingGroupMinSize(Progress):
pass
class AutoScalingGroupMaxSize(Progress):
pass
class AutoScalingGroupDesiredCapacity(Progress):
pass
class AutoScalingGroupPredictedCapacity(Progress):
pass
class Cooldown(Progress):
pass
class AvailabilityZones(LoadBalancerNames):
pass
class XmlStringMaxLen32(AutoScalingGroupState):
pass
class HealthCheckGracePeriod(Progress):
pass
class XmlStringMaxLen2047(BaseModel):
__root__: Annotated[str, Field(max_length=2047, min_length=1)]
class TerminationPolicies(BaseModel):
__root__: List[XmlStringMaxLen1600]
class InstanceProtected(MonitoringEnabled):
pass
class MaxInstanceLifetime(Progress):
pass
class CapacityRebalanceEnabled(MonitoringEnabled):
pass
class WarmPoolSize(Progress):
pass
class Context(XmlString):
pass
class AutoScalingGroupNames(LoadBalancerNames):
pass
class MaxRecords(Progress):
pass
class AutoScalingGroupNamesType(BaseModel):
AutoScalingGroupNames: Optional[AutoScalingGroupNames] = None
NextToken: Optional[XmlString] = None
MaxRecords: Optional[MaxRecords] = None
class AutoScalingInstanceDetails(BaseModel):
"""
Describes an EC2 instance associated with an Auto Scaling group.
"""
InstanceId: XmlStringMaxLen19
InstanceType: Optional[XmlStringMaxLen255] = None
AutoScalingGroupName: XmlStringMaxLen255
AvailabilityZone: XmlStringMaxLen255
LifecycleState: XmlStringMaxLen32
HealthStatus: XmlStringMaxLen32
LaunchConfigurationName: Optional[XmlStringMaxLen255] = None
LaunchTemplate: Optional[LaunchTemplateSpecification] = None
ProtectedFromScaleIn: InstanceProtected
WeightedCapacity: Optional[XmlStringMaxLen32] = None
class AutoScalingInstances(BaseModel):
__root__: List[AutoScalingInstanceDetails]
class AutoScalingNotificationTypes(LoadBalancerNames):
pass
class ScheduledActionNames(LoadBalancerNames):
pass
class BatchDeleteScheduledActionType(BaseModel):
AutoScalingGroupName: XmlStringMaxLen255
ScheduledActionNames: ScheduledActionNames
class BlockDeviceEbsDeleteOnTermination(MonitoringEnabled):
pass
class BlockDeviceEbsEncrypted(MonitoringEnabled):
pass
class BlockDeviceEbsIops(BaseModel):
__root__: Annotated[int, Field(ge=100.0, le=20000.0)]
class BlockDeviceEbsThroughput(BaseModel):
__root__: Annotated[int, Field(ge=125.0, le=1000.0)]
class BlockDeviceEbsVolumeSize(BaseModel):
__root__: Annotated[int, Field(ge=1.0, le=16384.0)]
class BlockDeviceEbsVolumeType(XmlStringMaxLen255):
pass
class Ebs(BaseModel):
"""
Describes information used to set up an Amazon EBS volume specified in a block device mapping.
"""
SnapshotId: Optional[XmlStringMaxLen255] = None
VolumeSize: Optional[BlockDeviceEbsVolumeSize] = None
VolumeType: Optional[BlockDeviceEbsVolumeType] = None
DeleteOnTermination: Optional[BlockDeviceEbsDeleteOnTermination] = None
Iops: Optional[BlockDeviceEbsIops] = None
Encrypted: Optional[BlockDeviceEbsEncrypted] = None
Throughput: Optional[BlockDeviceEbsThroughput] = None
class NoDevice(MonitoringEnabled):
pass
class CancelInstanceRefreshType(BaseModel):
AutoScalingGroupName: XmlStringMaxLen255
class PredictiveScalingForecastTimestamps(BaseModel):
__root__: List[TimestampType]
class PredictiveScalingForecastValues(BaseModel):
__root__: List[MetricScale]
class CapacityForecast(BaseModel):
"""
A <code>GetPredictiveScalingForecast</code> call returns the capacity forecast for a predictive scaling policy. This structure includes the data points for that capacity forecast, along with the timestamps of those data points.
"""
Timestamps: PredictiveScalingForecastTimestamps
Values: PredictiveScalingForecastValues
class NonZeroIntPercent(BaseModel):
__root__: Annotated[int, Field(ge=1.0, le=100.0)]
class ClassicLinkVPCSecurityGroups(LoadBalancerNames):
pass
class LifecycleActionToken(BaseModel):
__root__: Annotated[str, Field(max_length=36, min_length=36)]
class LifecycleActionResult(XmlString):
pass
class CompleteLifecycleActionType(BaseModel):
LifecycleHookName: AsciiStringMaxLen255
AutoScalingGroupName: ResourceName
LifecycleActionToken: Optional[LifecycleActionToken] = None
LifecycleActionResult: LifecycleActionResult
InstanceId: Optional[XmlStringMaxLen19] = None
class SecurityGroups(ActivityIds):
pass
class XmlStringUserData(BaseModel):
__root__: Annotated[str, Field(max_length=21847)]
class InstanceMonitoring(BaseModel):
"""
Describes whether detailed monitoring is enabled for the Auto Scaling instances.
"""
Enabled: Optional[MonitoringEnabled] = None
class SpotPrice(XmlStringMaxLen255):
pass
class EbsOptimized(MonitoringEnabled):
pass
class InstanceMetadataOptions(BaseModel):
"""
The metadata options for the instances. For more information, see <a href="https://docs.aws.amazon.com/autoscaling/ec2/userguide/create-launch-config.html#launch-configurations-imds">Configuring the Instance Metadata Options</a> in the <i>Amazon EC2 Auto Scaling User Guide</i>.
"""
HttpTokens: Optional[InstanceMetadataHttpTokensState] = None
HttpPutResponseHopLimit: Optional[InstanceMetadataHttpPutResponseHopLimit] = None
HttpEndpoint: Optional[InstanceMetadataEndpointState] = None
class MetricName(XmlString):
pass
class MetricNamespace(XmlString):
pass
class MetricStatistic(Enum):
Average = 'Average'
Minimum = 'Minimum'
Maximum = 'Maximum'
SampleCount = 'SampleCount'
Sum = 'Sum'
class MetricUnit(XmlString):
pass
class ForceDelete(MonitoringEnabled):
pass
class DeleteAutoScalingGroupType(BaseModel):
AutoScalingGroupName: XmlStringMaxLen255
ForceDelete: Optional[ForceDelete] = None
class DeleteLifecycleHookType(BaseModel):
LifecycleHookName: AsciiStringMaxLen255
AutoScalingGroupName: XmlStringMaxLen255
class DeleteNotificationConfigurationType(BaseModel):
AutoScalingGroupName: XmlStringMaxLen255
TopicARN: XmlStringMaxLen255
class DeletePolicyType(BaseModel):
AutoScalingGroupName: Optional[XmlStringMaxLen255] = None
PolicyName: ResourceName
class DeleteScheduledActionType(BaseModel):
AutoScalingGroupName: XmlStringMaxLen255
ScheduledActionName: XmlStringMaxLen255
class DeleteWarmPoolType(BaseModel):
AutoScalingGroupName: XmlStringMaxLen255
ForceDelete: Optional[ForceDelete] = None
class MaxNumberOfAutoScalingGroups(Progress):
pass
class MaxNumberOfLaunchConfigurations(Progress):
pass
class NumberOfAutoScalingGroups(Progress):
pass
class NumberOfLaunchConfigurations(Progress):
pass
class DescribeAutoScalingInstancesType(BaseModel):
InstanceIds: Optional[InstanceIds] = None
MaxRecords: Optional[MaxRecords] = None
NextToken: Optional[XmlString] = None
class InstanceRefreshIds(LoadBalancerNames):
pass
class DescribeInstanceRefreshesType(BaseModel):
AutoScalingGroupName: XmlStringMaxLen255
InstanceRefreshIds: Optional[InstanceRefreshIds] = None
NextToken: Optional[XmlString] = None
MaxRecords: Optional[MaxRecords] = None
class LifecycleHookNames(BaseModel):
__root__: Annotated[List[AsciiStringMaxLen255], Field(max_items=50)]
class DescribeLifecycleHooksType(BaseModel):
AutoScalingGroupName: XmlStringMaxLen255
LifecycleHookNames: Optional[LifecycleHookNames] = None
class DescribeLoadBalancerTargetGroupsRequest(BaseModel):
AutoScalingGroupName: XmlStringMaxLen255
NextToken: Optional[XmlString] = None
MaxRecords: Optional[MaxRecords] = None
class DescribeLoadBalancersRequest(BaseModel):
AutoScalingGroupName: XmlStringMaxLen255
NextToken: Optional[XmlString] = None
MaxRecords: Optional[MaxRecords] = None
class DescribeNotificationConfigurationsType(BaseModel):
AutoScalingGroupNames: Optional[AutoScalingGroupNames] = None
NextToken: Optional[XmlString] = None
MaxRecords: Optional[MaxRecords] = None
class PolicyNames(BaseModel):
__root__: List[ResourceName]
class PolicyTypes(BaseModel):
__root__: List[XmlStringMaxLen64]
class DescribePoliciesType(BaseModel):
AutoScalingGroupName: Optional[XmlStringMaxLen255] = None
PolicyNames: Optional[PolicyNames] = None
PolicyTypes: Optional[PolicyTypes] = None
NextToken: Optional[XmlString] = None
MaxRecords: Optional[MaxRecords] = None
class IncludeDeletedGroups(MonitoringEnabled):
pass
class DescribeScalingActivitiesType(BaseModel):
ActivityIds: Optional[ActivityIds] = None
AutoScalingGroupName: Optional[XmlStringMaxLen255] = None
IncludeDeletedGroups: Optional[IncludeDeletedGroups] = None
MaxRecords: Optional[MaxRecords] = None
NextToken: Optional[XmlString] = None
class DescribeScheduledActionsType(BaseModel):
AutoScalingGroupName: Optional[XmlStringMaxLen255] = None
ScheduledActionNames: Optional[ScheduledActionNames] = None
StartTime: Optional[TimestampType] = None
EndTime: Optional[TimestampType] = None
NextToken: Optional[XmlString] = None
MaxRecords: Optional[MaxRecords] = None
class DescribeWarmPoolType(BaseModel):
AutoScalingGroupName: XmlStringMaxLen255
MaxRecords: Optional[MaxRecords] = None
NextToken: Optional[XmlString] = None
class ShouldDecrementDesiredCapacity(MonitoringEnabled):
pass
class DetachInstancesQuery(BaseModel):
InstanceIds: Optional[InstanceIds] = None
AutoScalingGroupName: XmlStringMaxLen255
ShouldDecrementDesiredCapacity: ShouldDecrementDesiredCapacity
class DetachLoadBalancerTargetGroupsType(BaseModel):
AutoScalingGroupName: XmlStringMaxLen255
TargetGroupARNs: TargetGroupARNs
class DetachLoadBalancersType(BaseModel):
AutoScalingGroupName: XmlStringMaxLen255
LoadBalancerNames: LoadBalancerNames
class Metrics1(LoadBalancerNames):
pass
class DisableMetricsCollectionQuery(BaseModel):
AutoScalingGroupName: XmlStringMaxLen255
Metrics: Optional[Metrics1] = None
class EnableMetricsCollectionQuery(BaseModel):
AutoScalingGroupName: XmlStringMaxLen255
Metrics: Optional[Metrics1] = None
Granularity: XmlStringMaxLen255
class EnabledMetric(BaseModel):
"""
Describes an enabled metric.
"""
Metric: Optional[XmlStringMaxLen255] = None
Granularity: Optional[XmlStringMaxLen255] = None
class EnterStandbyQuery(BaseModel):
InstanceIds: Optional[InstanceIds] = None
AutoScalingGroupName: XmlStringMaxLen255
ShouldDecrementDesiredCapacity: ShouldDecrementDesiredCapacity
class EstimatedInstanceWarmup(Progress):
pass
class HonorCooldown(MonitoringEnabled):
pass
class ExecutePolicyType(BaseModel):
AutoScalingGroupName: Optional[XmlStringMaxLen255] = None
PolicyName: ResourceName
HonorCooldown: Optional[HonorCooldown] = None
MetricValue: Optional[MetricScale] = None
BreachThreshold: Optional[MetricScale] = None
class ExitStandbyQuery(BaseModel):
InstanceIds: Optional[InstanceIds] = None
AutoScalingGroupName: XmlStringMaxLen255
class FailedScheduledUpdateGroupActionRequest(BaseModel):
"""
Describes a scheduled action that could not be created, updated, or deleted.
"""
ScheduledActionName: XmlStringMaxLen255
ErrorCode: Optional[XmlStringMaxLen64] = None
ErrorMessage: Optional[XmlString] = None
class Values(ActivityIds):
pass
class GetPredictiveScalingForecastType(BaseModel):
AutoScalingGroupName: XmlStringMaxLen255
PolicyName: XmlStringMaxLen255
StartTime: TimestampType
EndTime: TimestampType
class GlobalTimeout(Progress):
pass
class HeartbeatTimeout(Progress):
pass
class LifecycleState1(Enum):
Pending = 'Pending'
Pending_Wait = 'Pending:Wait'
Pending_Proceed = 'Pending:Proceed'
Quarantined = 'Quarantined'
InService = 'InService'
Terminating = 'Terminating'
Terminating_Wait = 'Terminating:Wait'
Terminating_Proceed = 'Terminating:Proceed'
Terminated = 'Terminated'
Detaching = 'Detaching'
Detached = 'Detached'
EnteringStandby = 'EnteringStandby'
Standby = 'Standby'
Warmed_Pending = 'Warmed:Pending'
Warmed_Pending_Wait = 'Warmed:Pending:Wait'
Warmed_Pending_Proceed = 'Warmed:Pending:Proceed'
Warmed_Terminating = 'Warmed:Terminating'
Warmed_Terminating_Wait = 'Warmed:Terminating:Wait'
Warmed_Terminating_Proceed = 'Warmed:Terminating:Proceed'
Warmed_Terminated = 'Warmed:Terminated'
Warmed_Stopped = 'Warmed:Stopped'
Warmed_Running = 'Warmed:Running'
class Instance(BaseModel):
"""
Describes an EC2 instance.
"""
InstanceId: XmlStringMaxLen19
InstanceType: Optional[XmlStringMaxLen255] = None
AvailabilityZone: XmlStringMaxLen255
LifecycleState: LifecycleState1
HealthStatus: XmlStringMaxLen32
LaunchConfigurationName: Optional[XmlStringMaxLen255] = None
LaunchTemplate: Optional[LaunchTemplateSpecification] = None
ProtectedFromScaleIn: InstanceProtected
WeightedCapacity: Optional[XmlStringMaxLen32] = None
class InstanceRefreshStatus(Enum):
Pending = 'Pending'
InProgress = 'InProgress'
Successful = 'Successful'
Failed = 'Failed'
Cancelling = 'Cancelling'
Cancelled = 'Cancelled'
class InstancesToUpdate(PredictiveScalingSchedulingBufferTime):
pass
class InstanceRefreshLivePoolProgress(BaseModel):
"""
Reports the progress of an instance refresh on instances that are in the Auto Scaling group.
"""
PercentageComplete: Optional[IntPercent] = None
InstancesToUpdate: Optional[InstancesToUpdate] = None
class InstanceRefreshWarmPoolProgress(InstanceRefreshLivePoolProgress):
"""
Reports the progress of an instance refresh on instances that are in the warm pool.
"""
pass
class OnDemandBaseCapacity(Progress):
pass
class OnDemandPercentageAboveBaseCapacity(Progress):
pass
class SpotInstancePools(Progress):
pass
class MixedInstanceSpotPrice(BaseModel):
__root__: Annotated[str, Field(max_length=255, min_length=0)]
class LaunchConfigurationNameType(BaseModel):
LaunchConfigurationName: XmlStringMaxLen255
class LaunchConfigurationNames(LoadBalancerNames):
pass
class LaunchConfigurationNamesType(BaseModel):
LaunchConfigurationNames: Optional[LaunchConfigurationNames] = None
NextToken: Optional[XmlString] = None
MaxRecords: Optional[MaxRecords] = None
class LaunchTemplateOverrides(BaseModel):
"""
Describes an override for a launch template. The maximum number of instance types that can be associated with an Auto Scaling group is 40. The maximum number of distinct launch templates you can define for an Auto Scaling group is 20. For more information about configuring overrides, see <a href="https://docs.aws.amazon.com/autoscaling/ec2/userguide/asg-override-options.html">Configuring overrides</a> in the <i>Amazon EC2 Auto Scaling User Guide</i>.
"""
InstanceType: Optional[XmlStringMaxLen255] = None
WeightedCapacity: Optional[XmlStringMaxLen32] = None
LaunchTemplateSpecification: Optional[LaunchTemplateSpecification] = None
class LifecycleTransition(XmlString):
pass
class NotificationTargetResourceName(MixedInstanceSpotPrice):
pass
class LifecycleHook(BaseModel):
"""
Describes a lifecycle hook, which tells Amazon EC2 Auto Scaling that you want to perform an action whenever it launches instances or terminates instances.
"""
LifecycleHookName: Optional[AsciiStringMaxLen255] = None
AutoScalingGroupName: Optional[XmlStringMaxLen255] = None
LifecycleTransition: Optional[LifecycleTransition] = None
NotificationTargetARN: Optional[NotificationTargetResourceName] = None
RoleARN: Optional[XmlStringMaxLen255] = None
NotificationMetadata: Optional[XmlStringMaxLen1023] = None
HeartbeatTimeout: Optional[HeartbeatTimeout] = None
GlobalTimeout: Optional[GlobalTimeout] = None
DefaultResult: Optional[LifecycleActionResult] = None
class LoadBalancerState(BaseModel):
"""
Describes the state of a Classic Load Balancer.
"""
LoadBalancerName: Optional[XmlStringMaxLen255] = None
State: Optional[XmlStringMaxLen255] = None
class LoadBalancerTargetGroupState(BaseModel):
"""
Describes the state of a target group.
"""
LoadBalancerTargetGroupARN: Optional[XmlStringMaxLen511] = None
State: Optional[XmlStringMaxLen255] = None
class MaxGroupPreparedCapacity(BaseModel):
__root__: Annotated[int, Field(ge=-1.0)]
class MetricCollectionType(BaseModel):
"""
Describes a metric.
"""
Metric: Optional[XmlStringMaxLen255] = None
class MetricDimensionName(XmlString):
pass
class MetricDimensionValue(XmlString):
pass
class MetricDimension(BaseModel):
"""
Describes the dimension of a metric.
"""
Name: MetricDimensionName
Value: MetricDimensionValue
class MetricGranularityType(BaseModel):
"""
Describes a granularity of a metric.
"""
Granularity: Optional[XmlStringMaxLen255] = None
class MetricType(Enum):
ASGAverageCPUUtilization = 'ASGAverageCPUUtilization'
ASGAverageNetworkIn = 'ASGAverageNetworkIn'
ASGAverageNetworkOut = 'ASGAverageNetworkOut'
ALBRequestCountPerTarget = 'ALBRequestCountPerTarget'
class MinAdjustmentMagnitude(Progress):
pass
class MinAdjustmentStep(Progress):
pass
class NotificationConfiguration(BaseModel):
"""
Describes a notification.
"""
AutoScalingGroupName: Optional[XmlStringMaxLen255] = None
TopicARN: Optional[XmlStringMaxLen255] = None
NotificationType: Optional[XmlStringMaxLen255] = None
class PolicyIncrement(Progress):
pass
class PredefinedLoadMetricType(Enum):
ASGTotalCPUUtilization = 'ASGTotalCPUUtilization'
ASGTotalNetworkIn = 'ASGTotalNetworkIn'
ASGTotalNetworkOut = 'ASGTotalNetworkOut'
ALBTargetGroupRequestCount = 'ALBTargetGroupRequestCount'
class PredefinedMetricPairType(Enum):
ASGCPUUtilization = 'ASGCPUUtilization'
ASGNetworkIn = 'ASGNetworkIn'
ASGNetworkOut = 'ASGNetworkOut'
ALBRequestCount = 'ALBRequestCount'
class PredictiveScalingPredefinedMetricPair(BaseModel):
"""
Represents a metric pair for a predictive scaling policy.
"""
PredefinedMetricType: PredefinedMetricPairType
ResourceLabel: Optional[XmlStringMaxLen1023] = None
class PredictiveScalingPredefinedScalingMetric(BaseModel):
"""
<p>Describes a scaling metric for a predictive scaling policy.</p> <p>When returned in the output of <code>DescribePolicies</code>, it indicates that a predictive scaling policy uses individually specified load and scaling metrics instead of a metric pair.</p>
"""
PredefinedMetricType: MetricType
ResourceLabel: Optional[XmlStringMaxLen1023] = None
class PredictiveScalingPredefinedLoadMetric(BaseModel):
"""
<p>Describes a load metric for a predictive scaling policy.</p> <p>When returned in the output of <code>DescribePolicies</code>, it indicates that a predictive scaling policy uses individually specified load and scaling metrics instead of a metric pair.</p>
"""
PredefinedMetricType: PredefinedLoadMetricType
ResourceLabel: Optional[XmlStringMaxLen1023] = None
class ProcessNames(LoadBalancerNames):
pass
class ProcessType(BaseModel):
"""
<p>Describes a process type.</p> <p>For more information, see <a href="https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-suspend-resume-processes.html#process-types">Scaling processes</a> in the <i>Amazon EC2 Auto Scaling User Guide</i>.</p>
"""
ProcessName: XmlStringMaxLen255
class Processes(BaseModel):
__root__: List[ProcessType]
class PropagateAtLaunch(MonitoringEnabled):
pass
class ProtectedFromScaleIn2(MonitoringEnabled):
pass
class PutLifecycleHookType(BaseModel):
LifecycleHookName: AsciiStringMaxLen255
AutoScalingGroupName: XmlStringMaxLen255
LifecycleTransition: Optional[LifecycleTransition] = None
RoleARN: Optional[XmlStringMaxLen255] = None
NotificationTargetARN: Optional[NotificationTargetResourceName] = None
NotificationMetadata: Optional[XmlStringMaxLen1023] = None
HeartbeatTimeout: Optional[HeartbeatTimeout] = None
DefaultResult: Optional[LifecycleActionResult] = None
class PutNotificationConfigurationType(BaseModel):
AutoScalingGroupName: XmlStringMaxLen255
TopicARN: XmlStringMaxLen255
NotificationTypes: AutoScalingNotificationTypes
class ScalingPolicyEnabled(MonitoringEnabled):
pass
class PutScheduledUpdateGroupActionType(BaseModel):
AutoScalingGroupName: XmlStringMaxLen255
ScheduledActionName: XmlStringMaxLen255
Time: Optional[TimestampType] = None
StartTime: Optional[TimestampType] = None
EndTime: Optional[TimestampType] = None
Recurrence: Optional[XmlStringMaxLen255] = None
MinSize: Optional[AutoScalingGroupMinSize] = None
MaxSize: Optional[AutoScalingGroupMaxSize] = None
DesiredCapacity: Optional[AutoScalingGroupDesiredCapacity] = None
TimeZone: Optional[XmlStringMaxLen255] = None
class WarmPoolMinSize(PredictiveScalingSchedulingBufferTime):
pass
class WarmPoolState(Enum):
Stopped = 'Stopped'
Running = 'Running'
class PutWarmPoolType(BaseModel):
AutoScalingGroupName: XmlStringMaxLen255
MaxGroupPreparedCapacity: Optional[MaxGroupPreparedCapacity] = None
MinSize: Optional[WarmPoolMinSize] = None
PoolState: Optional[WarmPoolState] = None
class RecordLifecycleActionHeartbeatType(BaseModel):
LifecycleHookName: AsciiStringMaxLen255
AutoScalingGroupName: ResourceName
LifecycleActionToken: Optional[LifecycleActionToken] = None
InstanceId: Optional[XmlStringMaxLen19] = None
class RefreshStrategy(Enum):
Rolling = 'Rolling'
class ScalingProcessQuery(BaseModel):
AutoScalingGroupName: XmlStringMaxLen255
ScalingProcesses: Optional[ProcessNames] = None
class ScheduledUpdateGroupAction(BaseModel):
"""
Describes a scheduled scaling action.
"""
AutoScalingGroupName: Optional[XmlStringMaxLen255] = None
ScheduledActionName: Optional[XmlStringMaxLen255] = None
ScheduledActionARN: Optional[ResourceName] = None
Time: Optional[TimestampType] = None
StartTime: Optional[TimestampType] = None
EndTime: Optional[TimestampType] = None
Recurrence: Optional[XmlStringMaxLen255] = None
MinSize: Optional[AutoScalingGroupMinSize] = None
MaxSize: Optional[AutoScalingGroupMaxSize] = None
DesiredCapacity: Optional[AutoScalingGroupDesiredCapacity] = None
TimeZone: Optional[XmlStringMaxLen255] = None
class SetDesiredCapacityType(BaseModel):
AutoScalingGroupName: XmlStringMaxLen255
DesiredCapacity: AutoScalingGroupDesiredCapacity
HonorCooldown: Optional[HonorCooldown] = None
class ShouldRespectGracePeriod(MonitoringEnabled):
pass
class SetInstanceHealthQuery(BaseModel):
InstanceId: XmlStringMaxLen19
HealthStatus: XmlStringMaxLen32
ShouldRespectGracePeriod: Optional[ShouldRespectGracePeriod] = None
class SetInstanceProtectionQuery(BaseModel):
InstanceIds: InstanceIds
AutoScalingGroupName: XmlStringMaxLen255
ProtectedFromScaleIn: ProtectedFromScaleIn2
class SuspendedProcess(BaseModel):
"""
<p>Describes an auto scaling process that has been suspended.</p> <p>For more information, see <a href="https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-suspend-resume-processes.html#process-types">Scaling processes</a> in the <i>Amazon EC2 Auto Scaling User Guide</i>.</p>
"""
ProcessName: Optional[XmlStringMaxLen255] = None
SuspensionReason: Optional[XmlStringMaxLen255] = None
class TagKey(BaseModel):
__root__: Annotated[str, Field(max_length=128, min_length=1)]
class TagValue(BaseModel):
__root__: Annotated[str, Field(max_length=256, min_length=0)]
class TagDescription(BaseModel):
"""
Describes a tag for an Auto Scaling group.
"""
ResourceId: Optional[XmlString] = None
ResourceType: Optional[XmlString] = None
Key: Optional[TagKey] = None
Value: Optional[TagValue] = None
PropagateAtLaunch: Optional[PropagateAtLaunch] = None
class TerminateInstanceInAutoScalingGroupType(BaseModel):
InstanceId: XmlStringMaxLen19
ShouldDecrementDesiredCapacity: ShouldDecrementDesiredCapacity
class WarmPoolStatus(Enum):
PendingDelete = 'PendingDelete'
class ScheduledUpdateGroupActionRequest(BaseModel):
"""
Describes information used for one or more scheduled scaling action updates in a <a>BatchPutScheduledUpdateGroupAction</a> operation.
"""
ScheduledActionName: XmlStringMaxLen255
StartTime: Optional[TimestampType] = None
EndTime: Optional[TimestampType] = None
Recurrence: Optional[XmlStringMaxLen255] = None
MinSize: Optional[AutoScalingGroupMinSize] = None
MaxSize: Optional[AutoScalingGroupMaxSize] = None
DesiredCapacity: Optional[AutoScalingGroupDesiredCapacity] = None
TimeZone: Optional[XmlStringMaxLen255] = None
class InstancesDistribution(BaseModel):
"""
<p>Describes an instances distribution for an Auto Scaling group with a <a>MixedInstancesPolicy</a>.</p> <p>The instances distribution specifies the distribution of On-Demand Instances and Spot Instances, the maximum price to pay for Spot Instances, and how the Auto Scaling group allocates instance types to fulfill On-Demand and Spot capacities.</p> <p>When you modify <code>SpotAllocationStrategy</code>, <code>SpotInstancePools</code>, or <code>SpotMaxPrice</code> in the <a>UpdateAutoScalingGroup</a> API call, this update action does not deploy any changes across the running Amazon EC2 instances in the group. Your existing Spot Instances continue to run as long as the maximum price for those instances is higher than the current Spot price. When scale out occurs, Amazon EC2 Auto Scaling launches instances based on the new settings. When scale in occurs, Amazon EC2 Auto Scaling terminates instances according to the group's termination policies.</p>
"""
OnDemandAllocationStrategy: Optional[XmlString] = None
OnDemandBaseCapacity: Optional[OnDemandBaseCapacity] = None
OnDemandPercentageAboveBaseCapacity: Optional[
OnDemandPercentageAboveBaseCapacity
] = None
SpotAllocationStrategy: Optional[XmlString] = None
SpotInstancePools: Optional[SpotInstancePools] = None
SpotMaxPrice: Optional[MixedInstanceSpotPrice] = None
class LifecycleHookSpecification(BaseModel):
"""
<p>Describes information used to specify a lifecycle hook for an Auto Scaling group.</p> <p>A lifecycle hook tells Amazon EC2 Auto Scaling to perform an action on an instance when the instance launches (before it is put into service) or as the instance terminates (before it is fully terminated).</p> <p>This step is a part of the procedure for creating a lifecycle hook for an Auto Scaling group:</p> <ol> <li> <p>(Optional) Create a Lambda function and a rule that allows CloudWatch Events to invoke your Lambda function when Amazon EC2 Auto Scaling launches or terminates instances.</p> </li> <li> <p>(Optional) Create a notification target and an IAM role. The target can be either an Amazon SQS queue or an Amazon SNS topic. The role allows Amazon EC2 Auto Scaling to publish lifecycle notifications to the target.</p> </li> <li> <p> <b>Create the lifecycle hook. Specify whether the hook is used when the instances launch or terminate.</b> </p> </li> <li> <p>If you need more time, record the lifecycle action heartbeat to keep the instance in a pending state.</p> </li> <li> <p>If you finish before the timeout period ends, complete the lifecycle action.</p> </li> </ol> <p>For more information, see <a href="https://docs.aws.amazon.com/autoscaling/ec2/userguide/lifecycle-hooks.html">Amazon EC2 Auto Scaling lifecycle hooks</a> in the <i>Amazon EC2 Auto Scaling User Guide</i>.</p>
"""
LifecycleHookName: AsciiStringMaxLen255
LifecycleTransition: LifecycleTransition
NotificationMetadata: Optional[XmlStringMaxLen1023] = None
HeartbeatTimeout: Optional[HeartbeatTimeout] = None
DefaultResult: Optional[LifecycleActionResult] = None
NotificationTargetARN: Optional[NotificationTargetResourceName] = None
RoleARN: Optional[XmlStringMaxLen255] = None
class Tag(BaseModel):
"""
Describes a tag for an Auto Scaling group.
"""
ResourceId: Optional[XmlString] = None
ResourceType: Optional[XmlString] = None
Key: TagKey
Value: Optional[TagValue] = None
PropagateAtLaunch: Optional[PropagateAtLaunch] = None
class BlockDeviceMapping(BaseModel):
"""
Describes a block device mapping.
"""
VirtualName: Optional[XmlStringMaxLen255] = None
DeviceName: XmlStringMaxLen255
Ebs: Optional[Ebs] = None
NoDevice: Optional[NoDevice] = None
class DescribeAccountLimitsAnswer(BaseModel):
MaxNumberOfAutoScalingGroups: Optional[MaxNumberOfAutoScalingGroups] = None
MaxNumberOfLaunchConfigurations: Optional[MaxNumberOfLaunchConfigurations] = None
NumberOfAutoScalingGroups: Optional[NumberOfAutoScalingGroups] = None
NumberOfLaunchConfigurations: Optional[NumberOfLaunchConfigurations] = None
class DescribeAdjustmentTypesAnswer(BaseModel):
AdjustmentTypes: Optional[AdjustmentTypes] = None
class AutoScalingInstancesType(BaseModel):
AutoScalingInstances: Optional[AutoScalingInstances] = None
NextToken: Optional[XmlString] = None
class DescribeAutoScalingNotificationTypesAnswer(BaseModel):
AutoScalingNotificationTypes: Optional[AutoScalingNotificationTypes] = None
class DescribeLifecycleHookTypesAnswer(BaseModel):
LifecycleHookTypes: Optional[AutoScalingNotificationTypes] = None
class ProcessesType(BaseModel):
Processes: Optional[Processes] = None
class Filter(BaseModel):
"""
<p>Describes a filter that is used to return a more specific list of results when describing tags.</p> <p>For more information, see <a href="https://docs.aws.amazon.com/autoscaling/ec2/userguide/autoscaling-tagging.html">Tagging Auto Scaling groups and instances</a> in the <i>Amazon EC2 Auto Scaling User Guide</i>.</p>
"""
Name: Optional[XmlString] = None
Values: Optional[Values] = None
class DescribeTerminationPolicyTypesAnswer(BaseModel):
TerminationPolicyTypes: Optional[TerminationPolicies] = None
class PolicyARNType(BaseModel):
"""
Contains the output of PutScalingPolicy.
"""
PolicyARN: Optional[ResourceName] = None
Alarms: Optional[Alarms] = None
class StepAdjustment(BaseModel):
"""
<p>Describes information used to create a step adjustment for a step scaling policy.</p> <p>For the following examples, suppose that you have an alarm with a breach threshold of 50:</p> <ul> <li> <p>To trigger the adjustment when the metric is greater than or equal to 50 and less than 60, specify a lower bound of 0 and an upper bound of 10.</p> </li> <li> <p>To trigger the adjustment when the metric is greater than 40 and less than or equal to 50, specify a lower bound of -10 and an upper bound of 0.</p> </li> </ul> <p>There are a few rules for the step adjustments for your step policy:</p> <ul> <li> <p>The ranges of your step adjustments can't overlap or have a gap.</p> </li> <li> <p>At most, one step adjustment can have a null lower bound. If one step adjustment has a negative lower bound, then there must be a step adjustment with a null lower bound.</p> </li> <li> <p>At most, one step adjustment can have a null upper bound. If one step adjustment has a positive upper bound, then there must be a step adjustment with a null upper bound.</p> </li> <li> <p>The upper and lower bound can't be null in the same step adjustment.</p> </li> </ul> <p>For more information, see <a href="https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-scaling-simple-step.html#as-scaling-steps">Step adjustments</a> in the <i>Amazon EC2 Auto Scaling User Guide</i>.</p>
"""
MetricIntervalLowerBound: Optional[MetricScale] = None
MetricIntervalUpperBound: Optional[MetricScale] = None
ScalingAdjustment: PolicyIncrement
class PredefinedMetricSpecification(PredictiveScalingPredefinedScalingMetric):
"""
Represents a predefined metric for a target tracking scaling policy to use with Amazon EC2 Auto Scaling.
"""
pass
class CheckpointPercentages(BaseModel):
__root__: List[NonZeroIntPercent]
class Activity(BaseModel):
"""
Describes scaling activity, which is a long-running process that represents a change to your Auto Scaling group, such as changing its size or replacing an instance.
"""
ActivityId: XmlString
AutoScalingGroupName: XmlStringMaxLen255
Description: Optional[XmlString] = None
Cause: XmlStringMaxLen1023
StartTime: TimestampType
EndTime: Optional[TimestampType] = None
StatusCode: ScalingActivityStatusCode
StatusMessage: Optional[XmlStringMaxLen255] = None
Progress: Optional[Progress] = None
Details: Optional[XmlString] = None
AutoScalingGroupState: Optional[AutoScalingGroupState] = None
AutoScalingGroupARN: Optional[ResourceName] = None
class Activities(BaseModel):
__root__: List[Activity]
class Instances(BaseModel):
__root__: List[Instance]
class SuspendedProcesses(BaseModel):
__root__: List[SuspendedProcess]
class EnabledMetrics(BaseModel):
__root__: List[EnabledMetric]
class TagDescriptionList(BaseModel):
__root__: List[TagDescription]
class WarmPoolConfiguration(BaseModel):
"""
Describes a warm pool configuration.
"""
MaxGroupPreparedCapacity: Optional[MaxGroupPreparedCapacity] = None
MinSize: Optional[WarmPoolMinSize] = None
PoolState: Optional[WarmPoolState] = None
Status: Optional[WarmPoolStatus] = None
class FailedScheduledUpdateGroupActionRequests(BaseModel):
__root__: List[FailedScheduledUpdateGroupActionRequest]
class ScheduledUpdateGroupActionRequests(BaseModel):
__root__: List[ScheduledUpdateGroupActionRequest]
class BatchPutScheduledUpdateGroupActionType(BaseModel):
AutoScalingGroupName: XmlStringMaxLen255
ScheduledUpdateGroupActions: ScheduledUpdateGroupActionRequests
class BlockDeviceMappings(BaseModel):
__root__: List[BlockDeviceMapping]
class LifecycleHookSpecifications(BaseModel):
__root__: List[LifecycleHookSpecification]
class Tags2(BaseModel):
__root__: List[Tag]
class CreateLaunchConfigurationType(BaseModel):
LaunchConfigurationName: XmlStringMaxLen255
ImageId: Optional[XmlStringMaxLen255] = None
KeyName: Optional[XmlStringMaxLen255] = None
SecurityGroups: Optional[SecurityGroups] = None
ClassicLinkVPCId: Optional[XmlStringMaxLen255] = None
ClassicLinkVPCSecurityGroups: Optional[ClassicLinkVPCSecurityGroups] = None
UserData: Optional[XmlStringUserData] = None
InstanceId: Optional[XmlStringMaxLen19] = None
InstanceType: Optional[XmlStringMaxLen255] = None
KernelId: Optional[XmlStringMaxLen255] = None
RamdiskId: Optional[XmlStringMaxLen255] = None
BlockDeviceMappings: Optional[BlockDeviceMappings] = None
InstanceMonitoring: Optional[InstanceMonitoring] = None
SpotPrice: Optional[SpotPrice] = None
IamInstanceProfile: Optional[XmlStringMaxLen1600] = None
EbsOptimized: Optional[EbsOptimized] = None
AssociatePublicIpAddress: Optional[AssociatePublicIpAddress] = None
PlacementTenancy: Optional[XmlStringMaxLen64] = None
MetadataOptions: Optional[InstanceMetadataOptions] = None
class CreateOrUpdateTagsType(BaseModel):
Tags: Tags2
class MetricDimensions(BaseModel):
__root__: List[MetricDimension]
class DeleteTagsType(BaseModel):
Tags: Tags2
class LifecycleHooks(BaseModel):
__root__: List[LifecycleHook]
class LoadBalancerTargetGroupStates(BaseModel):
__root__: List[LoadBalancerTargetGroupState]
class LoadBalancerStates(BaseModel):
__root__: List[LoadBalancerState]
class MetricCollectionTypes(BaseModel):
__root__: List[MetricCollectionType]
class MetricGranularityTypes(BaseModel):
__root__: List[MetricGranularityType]
class NotificationConfigurations(BaseModel):
__root__: List[NotificationConfiguration]
class Filters(BaseModel):
__root__: List[Filter]
class DescribeTagsType(BaseModel):
Filters: Optional[Filters] = None
NextToken: Optional[XmlString] = None
MaxRecords: Optional[MaxRecords] = None
class InstanceRefreshProgressDetails(BaseModel):
"""
Reports the progress of an instance refresh on an Auto Scaling group that has a warm pool. This includes separate details for instances in the warm pool and instances in the Auto Scaling group (the live pool).
"""
LivePoolProgress: Optional[InstanceRefreshLivePoolProgress] = None
WarmPoolProgress: Optional[InstanceRefreshWarmPoolProgress] = None
class RefreshPreferences(BaseModel):
"""
Describes the preferences for an instance refresh.
"""
MinHealthyPercentage: Optional[IntPercent] = None
InstanceWarmup: Optional[RefreshInstanceWarmup] = None
CheckpointPercentages: Optional[CheckpointPercentages] = None
CheckpointDelay: Optional[CheckpointDelay] = None
SkipMatching: Optional[SkipMatching] = None
class LaunchConfiguration(BaseModel):
"""
Describes a launch configuration.
"""
LaunchConfigurationName: XmlStringMaxLen255
LaunchConfigurationARN: Optional[ResourceName] = None
ImageId: XmlStringMaxLen255
KeyName: Optional[XmlStringMaxLen255] = None
SecurityGroups: Optional[SecurityGroups] = None
ClassicLinkVPCId: Optional[XmlStringMaxLen255] = None
ClassicLinkVPCSecurityGroups: Optional[ClassicLinkVPCSecurityGroups] = None
UserData: Optional[XmlStringUserData] = None
InstanceType: XmlStringMaxLen255
KernelId: Optional[XmlStringMaxLen255] = None
RamdiskId: Optional[XmlStringMaxLen255] = None
BlockDeviceMappings: Optional[BlockDeviceMappings] = None
InstanceMonitoring: Optional[InstanceMonitoring] = None
SpotPrice: Optional[SpotPrice] = None
IamInstanceProfile: Optional[XmlStringMaxLen1600] = None
CreatedTime: TimestampType
EbsOptimized: Optional[EbsOptimized] = None
AssociatePublicIpAddress: Optional[AssociatePublicIpAddress] = None
PlacementTenancy: Optional[XmlStringMaxLen64] = None
MetadataOptions: Optional[InstanceMetadataOptions] = None
class LaunchConfigurations(BaseModel):
__root__: List[LaunchConfiguration]
class Overrides(BaseModel):
__root__: List[LaunchTemplateOverrides]
class PredictiveScalingMetricSpecification(BaseModel):
"""
<p>This structure specifies the metrics and target utilization settings for a predictive scaling policy. </p> <p>You must specify either a metric pair, or a load metric and a scaling metric individually. Specifying a metric pair instead of individual metrics provides a simpler way to configure metrics for a scaling policy. You choose the metric pair, and the policy automatically knows the correct sum and average statistics to use for the load metric and the scaling metric.</p> <p>Example</p> <ul> <li> <p>You create a predictive scaling policy and specify <code>ALBRequestCount</code> as the value for the metric pair and <code>1000.0</code> as the target value. For this type of metric, you must provide the metric dimension for the corresponding target group, so you also provide a resource label for the Application Load Balancer target group that is attached to your Auto Scaling group.</p> </li> <li> <p>The number of requests the target group receives per minute provides the load metric, and the request count averaged between the members of the target group provides the scaling metric. In CloudWatch, this refers to the <code>RequestCount</code> and <code>RequestCountPerTarget</code> metrics, respectively.</p> </li> <li> <p>For optimal use of predictive scaling, you adhere to the best practice of using a dynamic scaling policy to automatically scale between the minimum capacity and maximum capacity in response to real-time changes in resource utilization.</p> </li> <li> <p>Amazon EC2 Auto Scaling consumes data points for the load metric over the last 14 days and creates an hourly load forecast for predictive scaling. (A minimum of 24 hours of data is required.)</p> </li> <li> <p>After creating the load forecast, Amazon EC2 Auto Scaling determines when to reduce or increase the capacity of your Auto Scaling group in each hour of the forecast period so that the average number of requests received by each instance is as close to 1000 requests per minute as possible at all times.</p> </li> </ul>
"""
TargetValue: MetricScale
PredefinedMetricPairSpecification: Optional[
PredictiveScalingPredefinedMetricPair
] = None
PredefinedScalingMetricSpecification: Optional[
PredictiveScalingPredefinedScalingMetric
] = None
PredefinedLoadMetricSpecification: Optional[
PredictiveScalingPredefinedLoadMetric
] = None
class LoadForecast(BaseModel):
"""
A <code>GetPredictiveScalingForecast</code> call returns the load forecast for a predictive scaling policy. This structure includes the data points for that load forecast, along with the timestamps of those data points and the metric specification.
"""
Timestamps: PredictiveScalingForecastTimestamps
Values: PredictiveScalingForecastValues
MetricSpecification: PredictiveScalingMetricSpecification
class StepAdjustments(BaseModel):
__root__: List[StepAdjustment]
class ScheduledUpdateGroupActions(BaseModel):
__root__: List[ScheduledUpdateGroupAction]
class BatchDeleteScheduledActionAnswer(BaseModel):
FailedScheduledActions: Optional[FailedScheduledUpdateGroupActionRequests] = None
class BatchPutScheduledUpdateGroupActionAnswer(BaseModel):
FailedScheduledUpdateGroupActions: Optional[
FailedScheduledUpdateGroupActionRequests
] = None
class LaunchTemplate(BaseModel):
"""
<p>Describes a launch template and overrides. </p> <p>You specify these properties as part of a mixed instances policy. </p> <p>When you update the launch template or overrides in the <a>UpdateAutoScalingGroup</a> API call, existing Amazon EC2 instances continue to run. When scale out occurs, Amazon EC2 Auto Scaling launches instances to match the new settings. When scale in occurs, Amazon EC2 Auto Scaling terminates instances according to the group's termination policies.</p>
"""
LaunchTemplateSpecification: Optional[LaunchTemplateSpecification] = None
Overrides: Optional[Overrides] = None
class LaunchConfigurationsType(BaseModel):
LaunchConfigurations: LaunchConfigurations
NextToken: Optional[XmlString] = None
class DescribeLifecycleHooksAnswer(BaseModel):
LifecycleHooks: Optional[LifecycleHooks] = None
class DescribeLoadBalancerTargetGroupsResponse(BaseModel):
LoadBalancerTargetGroups: Optional[LoadBalancerTargetGroupStates] = None
NextToken: Optional[XmlString] = None
class DescribeLoadBalancersResponse(BaseModel):
LoadBalancers: Optional[LoadBalancerStates] = None
NextToken: Optional[XmlString] = None
class DescribeMetricCollectionTypesAnswer(BaseModel):
Metrics: Optional[MetricCollectionTypes] = None
Granularities: Optional[MetricGranularityTypes] = None
class DescribeNotificationConfigurationsAnswer(BaseModel):
NotificationConfigurations: NotificationConfigurations
NextToken: Optional[XmlString] = None
class ActivitiesType(BaseModel):
Activities: Activities
NextToken: Optional[XmlString] = None
class ScheduledActionsType(BaseModel):
ScheduledUpdateGroupActions: Optional[ScheduledUpdateGroupActions] = None
NextToken: Optional[XmlString] = None
class TagsType(BaseModel):
Tags: Optional[TagDescriptionList] = None
NextToken: Optional[XmlString] = None
class DescribeWarmPoolAnswer(BaseModel):
WarmPoolConfiguration: Optional[WarmPoolConfiguration] = None
Instances: Optional[Instances] = None
NextToken: Optional[XmlString] = None
class DetachInstancesAnswer(BaseModel):
Activities: Optional[Activities] = None
class EnterStandbyAnswer(DetachInstancesAnswer):
pass
class ExitStandbyAnswer(DetachInstancesAnswer):
pass
class CustomizedMetricSpecification(BaseModel):
"""
<p>Represents a CloudWatch metric of your choosing for a target tracking scaling policy to use with Amazon EC2 Auto Scaling.</p> <p>To create your customized metric specification:</p> <ul> <li> <p>Add values for each required parameter from CloudWatch. You can use an existing metric, or a new metric that you create. To use your own metric, you must first publish the metric to CloudWatch. For more information, see <a href="https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/publishingMetrics.html">Publish Custom Metrics</a> in the <i>Amazon CloudWatch User Guide</i>.</p> </li> <li> <p>Choose a metric that changes proportionally with capacity. The value of the metric should increase or decrease in inverse proportion to the number of capacity units. That is, the value of the metric should decrease when capacity increases.</p> </li> </ul> <p>For more information about CloudWatch, see <a href="https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/cloudwatch_concepts.html">Amazon CloudWatch Concepts</a>.</p>
"""
MetricName: MetricName
Namespace: MetricNamespace
Dimensions: Optional[MetricDimensions] = None
Statistic: MetricStatistic
Unit: Optional[MetricUnit] = None
class PredictiveScalingMetricSpecifications(BaseModel):
__root__: List[PredictiveScalingMetricSpecification]
class MixedInstancesPolicy(BaseModel):
"""
Describes a mixed instances policy. A mixed instances policy contains the instance types Amazon EC2 Auto Scaling can launch, and other information Amazon EC2 Auto Scaling can use to launch instances to help you optimize your costs. For more information, see <a href="https://docs.aws.amazon.com/autoscaling/ec2/userguide/asg-purchase-options.html">Auto Scaling groups with multiple instance types and purchase options</a> in the <i>Amazon EC2 Auto Scaling User Guide</i>.
"""
LaunchTemplate: Optional[LaunchTemplate] = None
InstancesDistribution: Optional[InstancesDistribution] = None
class ActivityType(BaseModel):
Activity: Optional[Activity] = None
class AutoScalingGroup(BaseModel):
"""
Describes an Auto Scaling group.
"""
AutoScalingGroupName: XmlStringMaxLen255
AutoScalingGroupARN: Optional[ResourceName] = None
LaunchConfigurationName: Optional[XmlStringMaxLen255] = None
LaunchTemplate: Optional[LaunchTemplateSpecification] = None
MixedInstancesPolicy: Optional[MixedInstancesPolicy] = None
MinSize: AutoScalingGroupMinSize
MaxSize: AutoScalingGroupMaxSize
DesiredCapacity: AutoScalingGroupDesiredCapacity
PredictedCapacity: Optional[AutoScalingGroupPredictedCapacity] = None
DefaultCooldown: Cooldown
AvailabilityZones: AvailabilityZones
LoadBalancerNames: Optional[LoadBalancerNames] = None
TargetGroupARNs: Optional[TargetGroupARNs] = None
HealthCheckType: XmlStringMaxLen32
HealthCheckGracePeriod: Optional[HealthCheckGracePeriod] = None
Instances: Optional[Instances] = None
CreatedTime: TimestampType
SuspendedProcesses: Optional[SuspendedProcesses] = None
PlacementGroup: Optional[XmlStringMaxLen255] = None
VPCZoneIdentifier: Optional[XmlStringMaxLen2047] = None
EnabledMetrics: Optional[EnabledMetrics] = None
Status: Optional[XmlStringMaxLen255] = None
Tags: Optional[TagDescriptionList] = None
TerminationPolicies: Optional[TerminationPolicies] = None
NewInstancesProtectedFromScaleIn: Optional[InstanceProtected] = None
ServiceLinkedRoleARN: Optional[ResourceName] = None
MaxInstanceLifetime: Optional[MaxInstanceLifetime] = None
CapacityRebalance: Optional[CapacityRebalanceEnabled] = None
WarmPoolConfiguration: Optional[WarmPoolConfiguration] = None
WarmPoolSize: Optional[WarmPoolSize] = None
Context: Optional[Context] = None
class AutoScalingGroups(BaseModel):
__root__: List[AutoScalingGroup]
class CreateAutoScalingGroupType(BaseModel):
AutoScalingGroupName: XmlStringMaxLen255
LaunchConfigurationName: Optional[XmlStringMaxLen255] = None
LaunchTemplate: Optional[LaunchTemplateSpecification] = None
MixedInstancesPolicy: Optional[MixedInstancesPolicy] = None
InstanceId: Optional[XmlStringMaxLen19] = None
MinSize: AutoScalingGroupMinSize
MaxSize: AutoScalingGroupMaxSize
DesiredCapacity: Optional[AutoScalingGroupDesiredCapacity] = None
DefaultCooldown: Optional[Cooldown] = None
AvailabilityZones: Optional[AvailabilityZones] = None
LoadBalancerNames: Optional[LoadBalancerNames] = None
TargetGroupARNs: Optional[TargetGroupARNs] = None
HealthCheckType: Optional[XmlStringMaxLen32] = None
HealthCheckGracePeriod: Optional[HealthCheckGracePeriod] = None
PlacementGroup: Optional[XmlStringMaxLen255] = None
VPCZoneIdentifier: Optional[XmlStringMaxLen2047] = None
TerminationPolicies: Optional[TerminationPolicies] = None
NewInstancesProtectedFromScaleIn: Optional[InstanceProtected] = None
CapacityRebalance: Optional[CapacityRebalanceEnabled] = None
LifecycleHookSpecificationList: Optional[LifecycleHookSpecifications] = None
Tags: Optional[Tags2] = None
ServiceLinkedRoleARN: Optional[ResourceName] = None
MaxInstanceLifetime: Optional[MaxInstanceLifetime] = None
Context: Optional[Context] = None
class DesiredConfiguration(BaseModel):
"""
<p>Describes the desired configuration for an instance refresh. </p> <p>If you specify a desired configuration, you must specify either a <code>LaunchTemplate</code> or a <code>MixedInstancesPolicy</code>. </p>
"""
LaunchTemplate: Optional[LaunchTemplateSpecification] = None
MixedInstancesPolicy: Optional[MixedInstancesPolicy] = None
class LoadForecasts(BaseModel):
__root__: List[LoadForecast]
class InstanceRefresh(BaseModel):
"""
Describes an instance refresh for an Auto Scaling group.
"""
InstanceRefreshId: Optional[XmlStringMaxLen255] = None
AutoScalingGroupName: Optional[XmlStringMaxLen255] = None
Status: Optional[InstanceRefreshStatus] = None
StatusReason: Optional[XmlStringMaxLen1023] = None
StartTime: Optional[TimestampType] = None
EndTime: Optional[TimestampType] = None
PercentageComplete: Optional[IntPercent] = None
InstancesToUpdate: Optional[InstancesToUpdate] = None
ProgressDetails: Optional[InstanceRefreshProgressDetails] = None
Preferences: Optional[RefreshPreferences] = None
DesiredConfiguration: Optional[DesiredConfiguration] = None
class PredictiveScalingConfiguration(BaseModel):
"""
Represents a predictive scaling policy configuration to use with Amazon EC2 Auto Scaling.
"""
MetricSpecifications: PredictiveScalingMetricSpecifications
Mode: Optional[PredictiveScalingMode] = None
SchedulingBufferTime: Optional[PredictiveScalingSchedulingBufferTime] = None
MaxCapacityBreachBehavior: Optional[
PredictiveScalingMaxCapacityBreachBehavior
] = None
MaxCapacityBuffer: Optional[PredictiveScalingMaxCapacityBuffer] = None
class TargetTrackingConfiguration(BaseModel):
"""
Represents a target tracking scaling policy configuration to use with Amazon EC2 Auto Scaling.
"""
PredefinedMetricSpecification: Optional[PredefinedMetricSpecification] = None
CustomizedMetricSpecification: Optional[CustomizedMetricSpecification] = None
TargetValue: MetricScale
DisableScaleIn: Optional[DisableScaleIn] = None
class PutScalingPolicyType(BaseModel):
AutoScalingGroupName: XmlStringMaxLen255
PolicyName: XmlStringMaxLen255
PolicyType: Optional[XmlStringMaxLen64] = None
AdjustmentType: Optional[XmlStringMaxLen255] = None
MinAdjustmentStep: Optional[MinAdjustmentStep] = None
MinAdjustmentMagnitude: Optional[MinAdjustmentMagnitude] = None
ScalingAdjustment: Optional[PolicyIncrement] = None
Cooldown: Optional[Cooldown] = None
MetricAggregationType: Optional[XmlStringMaxLen32] = None
StepAdjustments: Optional[StepAdjustments] = None
EstimatedInstanceWarmup: Optional[EstimatedInstanceWarmup] = None
TargetTrackingConfiguration: Optional[TargetTrackingConfiguration] = None
Enabled: Optional[ScalingPolicyEnabled] = None
PredictiveScalingConfiguration: Optional[PredictiveScalingConfiguration] = None
class ScalingPolicy(BaseModel):
"""
Describes a scaling policy.
"""
AutoScalingGroupName: Optional[XmlStringMaxLen255] = None
PolicyName: Optional[XmlStringMaxLen255] = None
PolicyARN: Optional[ResourceName] = None
PolicyType: Optional[XmlStringMaxLen64] = None
AdjustmentType: Optional[XmlStringMaxLen255] = None
MinAdjustmentStep: Optional[MinAdjustmentStep] = None
MinAdjustmentMagnitude: Optional[MinAdjustmentMagnitude] = None
ScalingAdjustment: Optional[PolicyIncrement] = None
Cooldown: Optional[Cooldown] = None
StepAdjustments: Optional[StepAdjustments] = None
MetricAggregationType: Optional[XmlStringMaxLen32] = None
EstimatedInstanceWarmup: Optional[EstimatedInstanceWarmup] = None
Alarms: Optional[Alarms] = None
TargetTrackingConfiguration: Optional[TargetTrackingConfiguration] = None
Enabled: Optional[ScalingPolicyEnabled] = None
PredictiveScalingConfiguration: Optional[PredictiveScalingConfiguration] = None
class StartInstanceRefreshType(BaseModel):
AutoScalingGroupName: XmlStringMaxLen255
Strategy: Optional[RefreshStrategy] = None
DesiredConfiguration: Optional[DesiredConfiguration] = None
Preferences: Optional[RefreshPreferences] = None
class UpdateAutoScalingGroupType(BaseModel):
AutoScalingGroupName: XmlStringMaxLen255
LaunchConfigurationName: Optional[XmlStringMaxLen255] = None
LaunchTemplate: Optional[LaunchTemplateSpecification] = None
MixedInstancesPolicy: Optional[MixedInstancesPolicy] = None
MinSize: Optional[AutoScalingGroupMinSize] = None
MaxSize: Optional[AutoScalingGroupMaxSize] = None
DesiredCapacity: Optional[AutoScalingGroupDesiredCapacity] = None
DefaultCooldown: Optional[Cooldown] = None
AvailabilityZones: Optional[AvailabilityZones] = None
HealthCheckType: Optional[XmlStringMaxLen32] = None
HealthCheckGracePeriod: Optional[HealthCheckGracePeriod] = None
PlacementGroup: Optional[XmlStringMaxLen255] = None
VPCZoneIdentifier: Optional[XmlStringMaxLen2047] = None
TerminationPolicies: Optional[TerminationPolicies] = None
NewInstancesProtectedFromScaleIn: Optional[InstanceProtected] = None
ServiceLinkedRoleARN: Optional[ResourceName] = None
MaxInstanceLifetime: Optional[MaxInstanceLifetime] = None
CapacityRebalance: Optional[CapacityRebalanceEnabled] = None
Context: Optional[Context] = None
class AutoScalingGroupsType(BaseModel):
AutoScalingGroups: AutoScalingGroups
NextToken: Optional[XmlString] = None
class GetPredictiveScalingForecastAnswer(BaseModel):
LoadForecast: LoadForecasts
CapacityForecast: CapacityForecast
UpdateTime: TimestampType
class InstanceRefreshes(BaseModel):
__root__: List[InstanceRefresh]
class ScalingPolicies(BaseModel):
__root__: List[ScalingPolicy]
class DescribeInstanceRefreshesAnswer(BaseModel):
InstanceRefreshes: Optional[InstanceRefreshes] = None
NextToken: Optional[XmlString] = None
class PoliciesType(BaseModel):
ScalingPolicies: Optional[ScalingPolicies] = None
NextToken: Optional[XmlString] = None
| 32.661986
| 2,026
| 0.778232
| 5,610
| 62,809
| 8.65205
| 0.164528
| 0.018542
| 0.040175
| 0.011125
| 0.385554
| 0.319502
| 0.288887
| 0.270633
| 0.253966
| 0.218901
| 0
| 0.01436
| 0.149628
| 62,809
| 1,922
| 2,027
| 32.67898
| 0.894404
| 0.210655
| 0
| 0.438532
| 1
| 0
| 0.020931
| 0.006683
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.083486
| 0.004587
| 0
| 0.9
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
e5b29da3dababde5b2bd5133a5dc675c24fe8868
| 140
|
py
|
Python
|
drf_tweaks/settings.py
|
asudoma/drf_tweaks
|
0eef13015ab15bb2cf4f21ede2fb69d521456d3c
|
[
"MIT"
] | null | null | null |
drf_tweaks/settings.py
|
asudoma/drf_tweaks
|
0eef13015ab15bb2cf4f21ede2fb69d521456d3c
|
[
"MIT"
] | null | null | null |
drf_tweaks/settings.py
|
asudoma/drf_tweaks
|
0eef13015ab15bb2cf4f21ede2fb69d521456d3c
|
[
"MIT"
] | null | null | null |
from django.conf import settings
URL_PARSER = getattr(settings, 'DRF_TWEAKS_PARSER_CLASS', 'drf_tweaks.parsers.UnderlineQueryParamParser')
| 35
| 105
| 0.842857
| 17
| 140
| 6.647059
| 0.764706
| 0.159292
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.071429
| 140
| 3
| 106
| 46.666667
| 0.869231
| 0
| 0
| 0
| 0
| 0
| 0.478571
| 0.478571
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
e5f1091e3681e8b62c032e7b073b84e18d5012af
| 262
|
py
|
Python
|
ex019.py
|
almmessias/CursoPython
|
4cec6946f32002cbd5d3b802df11ea1ba74169f5
|
[
"MIT"
] | null | null | null |
ex019.py
|
almmessias/CursoPython
|
4cec6946f32002cbd5d3b802df11ea1ba74169f5
|
[
"MIT"
] | null | null | null |
ex019.py
|
almmessias/CursoPython
|
4cec6946f32002cbd5d3b802df11ea1ba74169f5
|
[
"MIT"
] | null | null | null |
import random
n1 = input ('Qual seu nome estudante1: ')
n2 = input ('Qual seu nome estudante2: ')
n3 = input ('Qual seu nome estudante3: ')
n4 = input ('Qual seu nome estudante4: ')
l = [n1, n2, n3, n4]
e = random.choice(l)
print ('O escolhido foi {}'.format(e))
| 32.75
| 41
| 0.656489
| 41
| 262
| 4.195122
| 0.536585
| 0.209302
| 0.27907
| 0.372093
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.055814
| 0.179389
| 262
| 8
| 42
| 32.75
| 0.744186
| 0
| 0
| 0
| 0
| 0
| 0.463878
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.125
| 0
| 0.125
| 0.125
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
e5f52d08053f57a78fc1476875008681966fd4be
| 101
|
py
|
Python
|
python/y2019/d19/__main__.py
|
luke-dixon/aoc
|
94851a5866a1ef29e3ba10098160cba883882683
|
[
"MIT"
] | 1
|
2021-01-12T20:04:01.000Z
|
2021-01-12T20:04:01.000Z
|
python/y2019/d19/__main__.py
|
luke-dixon/aoc
|
94851a5866a1ef29e3ba10098160cba883882683
|
[
"MIT"
] | null | null | null |
python/y2019/d19/__main__.py
|
luke-dixon/aoc
|
94851a5866a1ef29e3ba10098160cba883882683
|
[
"MIT"
] | null | null | null |
import sys
from .day19 import Day19
if __name__ == '__main__':
Day19(args=sys.argv[1:]).main()
| 14.428571
| 35
| 0.673267
| 15
| 101
| 4
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.083333
| 0.168317
| 101
| 6
| 36
| 16.833333
| 0.630952
| 0
| 0
| 0
| 0
| 0
| 0.079208
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
f92ba85dbc478399733e6b9f09792675486a371f
| 53
|
py
|
Python
|
tarea2.py
|
baudiramos/practicaGitHub-publico
|
68d2950bce273b46b5759137a143265409d6879d
|
[
"Unlicense"
] | null | null | null |
tarea2.py
|
baudiramos/practicaGitHub-publico
|
68d2950bce273b46b5759137a143265409d6879d
|
[
"Unlicense"
] | null | null | null |
tarea2.py
|
baudiramos/practicaGitHub-publico
|
68d2950bce273b46b5759137a143265409d6879d
|
[
"Unlicense"
] | null | null | null |
"""
Este es el comentario del archivo tarea2.py
"""
| 10.6
| 43
| 0.679245
| 8
| 53
| 4.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.023256
| 0.188679
| 53
| 5
| 44
| 10.6
| 0.813953
| 0.811321
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
005ee8dbc127a3960686b7b24db090fb97053538
| 83
|
py
|
Python
|
RaspberryPi/tests/cvtest1.py
|
FRC-Team-3242/IllumicatsVision
|
cc7370e1373832c42cc786174e97e11f8fb3f498
|
[
"MIT"
] | null | null | null |
RaspberryPi/tests/cvtest1.py
|
FRC-Team-3242/IllumicatsVision
|
cc7370e1373832c42cc786174e97e11f8fb3f498
|
[
"MIT"
] | null | null | null |
RaspberryPi/tests/cvtest1.py
|
FRC-Team-3242/IllumicatsVision
|
cc7370e1373832c42cc786174e97e11f8fb3f498
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
import numpy as np
import cv2
img = cv2.imread('tla.jpg',0)
| 13.833333
| 29
| 0.698795
| 16
| 83
| 3.625
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.042254
| 0.144578
| 83
| 5
| 30
| 16.6
| 0.774648
| 0.240964
| 0
| 0
| 0
| 0
| 0.112903
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
007aad29d0eb094177bb4ff9b0f846626ca8e9d2
| 47
|
py
|
Python
|
cornac/models/cdl/__init__.py
|
Andrew-DungLe/cornac
|
199ab9181f8b6387cc8748ccf8ee3e5c9df087fb
|
[
"Apache-2.0"
] | null | null | null |
cornac/models/cdl/__init__.py
|
Andrew-DungLe/cornac
|
199ab9181f8b6387cc8748ccf8ee3e5c9df087fb
|
[
"Apache-2.0"
] | null | null | null |
cornac/models/cdl/__init__.py
|
Andrew-DungLe/cornac
|
199ab9181f8b6387cc8748ccf8ee3e5c9df087fb
|
[
"Apache-2.0"
] | null | null | null |
from .recom_cdl import CDL
__all__ = ['CDL']
| 9.4
| 26
| 0.680851
| 7
| 47
| 3.857143
| 0.714286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.191489
| 47
| 5
| 27
| 9.4
| 0.710526
| 0
| 0
| 0
| 0
| 0
| 0.06383
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 1
| 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
| 4
|
009095e05e6f284d868feef3a58382ef96a007e4
| 35
|
py
|
Python
|
api/tests/opentrons/protocol_engine/__init__.py
|
faliester/opentrons
|
e945d0f72fed39b0f68c0b30b7afd1981644184f
|
[
"Apache-2.0"
] | 235
|
2017-10-27T20:37:27.000Z
|
2022-03-30T14:09:49.000Z
|
api/tests/opentrons/protocol_engine/__init__.py
|
faliester/opentrons
|
e945d0f72fed39b0f68c0b30b7afd1981644184f
|
[
"Apache-2.0"
] | 8,425
|
2017-10-26T15:25:43.000Z
|
2022-03-31T23:54:26.000Z
|
api/tests/opentrons/protocol_engine/__init__.py
|
faliester/opentrons
|
e945d0f72fed39b0f68c0b30b7afd1981644184f
|
[
"Apache-2.0"
] | 130
|
2017-11-09T21:02:37.000Z
|
2022-03-15T18:01:24.000Z
|
"""ProtocolEngine tests module."""
| 17.5
| 34
| 0.714286
| 3
| 35
| 8.333333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.085714
| 35
| 1
| 35
| 35
| 0.78125
| 0.8
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 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
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
00c98c7219500afc8cbecdd93ec1e4656504fd06
| 4,605
|
py
|
Python
|
midgard/data/sigma.py
|
annsilje/midgard
|
ffa81f6704f36dd86aea745fb24b7f7da4233828
|
[
"MIT"
] | 14
|
2018-05-04T11:34:26.000Z
|
2021-11-16T20:52:00.000Z
|
midgard/data/sigma.py
|
annsilje/midgard
|
ffa81f6704f36dd86aea745fb24b7f7da4233828
|
[
"MIT"
] | 2
|
2022-02-28T10:02:18.000Z
|
2022-03-04T14:47:59.000Z
|
midgard/data/sigma.py
|
annsilje/midgard
|
ffa81f6704f36dd86aea745fb24b7f7da4233828
|
[
"MIT"
] | 9
|
2018-04-27T14:30:59.000Z
|
2021-08-25T08:17:00.000Z
|
"""Array with sigma values
See https://docs.scipy.org/doc/numpy/user/basics.subclassing.html for information about subclassing Numpy arrays.
SigmaArray is a regular Numpy array with an added field, sigma.
"""
# Third party imports
import numpy as np
class SigmaArray(np.ndarray):
type = "sigma"
def __new__(cls, values, sigma=None, unit=None):
"""Create a new SigmaArray"""
obj = np.asarray(values, dtype=float).view(cls)
sigma = np.array(sigma) if sigma is not None else np.full(values.shape, np.nan)
if sigma.ndim == 0:
sigma = sigma.item()
obj._sigma = sigma
obj._unit = unit
return obj
def __array_finalize__(self, obj):
"""Called automatically when a new SigmaArray is created"""
if obj is None:
return
sigma_sliced = getattr(obj, "_sigma_sliced", None)
if sigma_sliced is not None:
self.sigma = sigma_sliced
@property
def sigma(self):
"""Sigma values"""
return self._sigma
@sigma.setter
def sigma(self, value):
"""Set sigma values"""
if value is None:
self._sigma = np.full(self.shape, np.nan)
else:
self._sigma = np.asarray(value) * np.ones(self.shape)
def unit(self, _):
"""Unit of SigmaArray
The subfield sigma share the same unit as the SigmaArray itself"""
return self._unit
def set_unit(self, new_unit):
"""Update unit of SigmaArray"""
self._unit = new_unit
@classmethod
def insert(cls, a, pos, b, memo):
""" Insert b into a at position pos"""
id_a = id(a)
if id_a in memo:
return memo[id_a][-1]
id_b = id(b)
if id_b in memo:
return memo[id_b][-1]
val = np.insert(np.asarray(a), pos, np.asarray(b))
sigma = np.insert(a.sigma, pos, b.sigma)
new_sigma = cls(val, sigma)
memo[id_a] = (a, new_sigma)
memo[id_b] = (b, new_sigma)
return new_sigma
def fieldnames(self):
return ["sigma"]
def __add__(self, _):
"""self + other"""
return NotImplemented
def __radd__(self, _):
"""other + self"""
return NotImplemented
def __sub__(self, _):
"""self - other"""
return NotImplemented
def __rsub__(self, _):
"""other - self"""
return NotImplemented
def __iadd__(self, _):
"""self += other"""
return NotImplemented
def __isub__(self, _):
"""self -= other"""
return NotImplemented
def __matmul__(self, _):
"""self @ _"""
return NotImplemented
def __rmatmul__(self, _):
"""_ @ self"""
return NotImplemented
def __imatmul__(self, _):
"""self @= _"""
return NotImplemented
def __mul__(self, other):
"""self * other """
val = np.asarray(self) * other
sigma = self.sigma * other
return self.__class__(val, sigma)
def __rmul__(self, other):
"""other * self"""
return self.__mul__(other)
def __imul__(self, _):
"""self *= _"""
return NotImplemented
def __truediv__(self, _):
"""self / _"""
return NotImplemented
def __rtruediv__(self, _):
"""_ / self"""
return NotImplemented
def __itruediv__(self, _):
"""self /= _"""
return NotImplemented
def __floordiv__(self, _):
"""self // _"""
return NotImplemented
def __rfloordiv__(self, _):
""" _ // self"""
return NotImplemented
def __ifloordiv__(self, _):
"""self //= _"""
return NotImplemented
def __pow__(self, _):
""" self ** _"""
return NotImplemented
def __rpow(self, _):
""" _ ** self """
return NotImplemented
def __ipow__(self, _):
""" self **= _"""
return NotImplemented
def __deepcopy__(self, memo):
new_sigma_array = self.__class__(np.asarray(self), self.sigma)
memo[id(self)] = new_sigma_array
return new_sigma_array
def __setitem__(self, item, value):
"""TODO"""
return super().__setitem__(item, value)
def __getitem__(self, item):
"""Update _sigma_sliced with correct shape, used by __array_finalize__"""
self._sigma_sliced = self.sigma[item]
from_super = super().__getitem__(item)
if isinstance(item, int):
return self.__class__(from_super, self._sigma_sliced)
return from_super
| 25.441989
| 113
| 0.567644
| 516
| 4,605
| 4.664729
| 0.238372
| 0.157873
| 0.181554
| 0.168259
| 0.272123
| 0.089738
| 0
| 0
| 0
| 0
| 0
| 0.000945
| 0.310749
| 4,605
| 180
| 114
| 25.583333
| 0.757404
| 0.170033
| 0
| 0.186275
| 0
| 0
| 0.006298
| 0
| 0
| 0
| 0
| 0.005556
| 0
| 1
| 0.313725
| false
| 0
| 0.009804
| 0.009804
| 0.666667
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
00e5169dc2c8c9b71d15857afdd4d4b2bd652542
| 54
|
py
|
Python
|
folder1/f1a.py
|
redeye999/pyneta
|
96aebbf5f59a9abdbd9d21d29a0e80a988fcf45a
|
[
"Apache-2.0"
] | null | null | null |
folder1/f1a.py
|
redeye999/pyneta
|
96aebbf5f59a9abdbd9d21d29a0e80a988fcf45a
|
[
"Apache-2.0"
] | null | null | null |
folder1/f1a.py
|
redeye999/pyneta
|
96aebbf5f59a9abdbd9d21d29a0e80a988fcf45a
|
[
"Apache-2.0"
] | null | null | null |
for i in range(10)
print i
print("editing file")
| 10.8
| 21
| 0.648148
| 10
| 54
| 3.5
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.04878
| 0.240741
| 54
| 4
| 22
| 13.5
| 0.804878
| 0
| 0
| 0
| 0
| 0
| 0.222222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.666667
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
00f0dc5f82345fa2b5ac9b64dc1efa74948b2162
| 226
|
py
|
Python
|
webinterface/tests/unit_tests/test_model_ScheduleGroup.py
|
monoclecat/Cleaning-Schedule-generator
|
b12fa8a6f834a89b805bf062a0df45279a7a8796
|
[
"MIT"
] | 2
|
2021-11-28T23:04:00.000Z
|
2022-01-13T19:47:45.000Z
|
webinterface/tests/unit_tests/test_model_ScheduleGroup.py
|
monoclecat/Cleaning-Schedule-generator
|
b12fa8a6f834a89b805bf062a0df45279a7a8796
|
[
"MIT"
] | 25
|
2020-03-29T14:40:46.000Z
|
2021-09-22T17:37:15.000Z
|
webinterface/tests/unit_tests/test_model_ScheduleGroup.py
|
monoclecat/cleaning-schedule-management-system
|
b12fa8a6f834a89b805bf062a0df45279a7a8796
|
[
"MIT"
] | 1
|
2020-07-04T11:42:17.000Z
|
2020-07-04T11:42:17.000Z
|
from django.test import TestCase
from webinterface.models import *
class ScheduleGroupTest(TestCase):
def test__str(self):
group = ScheduleGroup(name="test")
self.assertEqual(group.__str__(), group.name)
| 25.111111
| 53
| 0.725664
| 26
| 226
| 6.076923
| 0.615385
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.172566
| 226
| 8
| 54
| 28.25
| 0.84492
| 0
| 0
| 0
| 0
| 0
| 0.017699
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 1
| 0.166667
| false
| 0
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
da9580f18b81e6a03aa3a4b6cd151fd10e961516
| 110
|
py
|
Python
|
Lib/fontParts/base/errors.py
|
sanjaymsh/fontParts
|
dda5b23336d0d04f2ba5ffa371813991de20635d
|
[
"MIT"
] | 66
|
2019-01-17T13:50:12.000Z
|
2022-03-19T15:57:43.000Z
|
Lib/fontParts/base/errors.py
|
sanjaymsh/fontParts
|
dda5b23336d0d04f2ba5ffa371813991de20635d
|
[
"MIT"
] | 311
|
2016-03-03T19:52:56.000Z
|
2019-01-15T12:44:59.000Z
|
Lib/fontParts/base/errors.py
|
sanjaymsh/fontParts
|
dda5b23336d0d04f2ba5ffa371813991de20635d
|
[
"MIT"
] | 28
|
2019-02-21T01:54:19.000Z
|
2022-03-10T09:29:48.000Z
|
# -------------------
# Universal Exception
# -------------------
class FontPartsError(Exception):
pass
| 13.75
| 32
| 0.454545
| 6
| 110
| 8.333333
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.145455
| 110
| 7
| 33
| 15.714286
| 0.531915
| 0.536364
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.5
| 0
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
da999767fe0c4c023b326df174e282f951e94c3b
| 185
|
py
|
Python
|
venv/bin/django-admin.py
|
brennangw/sms_to_internet
|
0f1d5c4765f27c6ec76781f641a1314f5fd8507b
|
[
"MIT"
] | null | null | null |
venv/bin/django-admin.py
|
brennangw/sms_to_internet
|
0f1d5c4765f27c6ec76781f641a1314f5fd8507b
|
[
"MIT"
] | null | null | null |
venv/bin/django-admin.py
|
brennangw/sms_to_internet
|
0f1d5c4765f27c6ec76781f641a1314f5fd8507b
|
[
"MIT"
] | null | null | null |
#!/Users/Brennan/Downloads/server-notifications-django-master/venv/bin/python3
from django.core import management
if __name__ == "__main__":
management.execute_from_command_line()
| 30.833333
| 78
| 0.805405
| 23
| 185
| 6
| 0.869565
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.005882
| 0.081081
| 185
| 5
| 79
| 37
| 0.805882
| 0.416216
| 0
| 0
| 0
| 0
| 0.074766
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 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
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
dac9f56d1cf53ea24a37cb691031fe6278fe9a58
| 57
|
py
|
Python
|
ui_v2/first_time_setup.py
|
ranton256/cs510_ai_logo_generation
|
838855c047133368cab127ef3bbd60eef9e90ff4
|
[
"MIT"
] | 1
|
2021-12-02T09:55:08.000Z
|
2021-12-02T09:55:08.000Z
|
ui_v2/first_time_setup.py
|
ranton256/cs510_ai_logo_generation
|
838855c047133368cab127ef3bbd60eef9e90ff4
|
[
"MIT"
] | null | null | null |
ui_v2/first_time_setup.py
|
ranton256/cs510_ai_logo_generation
|
838855c047133368cab127ef3bbd60eef9e90ff4
|
[
"MIT"
] | 1
|
2021-12-02T09:55:51.000Z
|
2021-12-02T09:55:51.000Z
|
#!/usr/bin/python
import nltk
nltk.download('wordnet')
| 9.5
| 24
| 0.719298
| 8
| 57
| 5.125
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.105263
| 57
| 5
| 25
| 11.4
| 0.803922
| 0.280702
| 0
| 0
| 0
| 0
| 0.179487
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
dad7288e2f4cb0b13f8c319b8394bd30dece3c72
| 694
|
py
|
Python
|
datatype_redis/types/numeric/float.py
|
Heiss/py-datatype-redis
|
db75b94c22a3c5fecb202e9138892c674a62d47f
|
[
"MIT"
] | null | null | null |
datatype_redis/types/numeric/float.py
|
Heiss/py-datatype-redis
|
db75b94c22a3c5fecb202e9138892c674a62d47f
|
[
"MIT"
] | 2
|
2020-07-22T08:01:42.000Z
|
2020-08-17T11:11:07.000Z
|
datatype_redis/types/numeric/float.py
|
Heiss/py-datatype-redis
|
db75b94c22a3c5fecb202e9138892c674a62d47f
|
[
"MIT"
] | null | null | null |
from .numeric import Numeric
from ..operator import inplace
from ..pubsub import PubSub
class Float(Numeric):
"""
Redis float <-> Python float.
"""
@property
def value(self):
return float(self.client.get(self.prefixer(self.key)) or 0)
@value.setter
def value(self, value):
if value is not None:
self.client.set(self.prefixer(self.key), value)
def __isub__(self, f):
self.client.incrbyfloat(self.prefixer(self.key), f * -1)
return self
def __iadd__(self, f):
self.client.incrbyfloat(self.prefixer(self.key), f * 1) # this fixes conversion
return self
class PubSubFloat(Float, PubSub):
pass
| 24.785714
| 87
| 0.636888
| 91
| 694
| 4.769231
| 0.406593
| 0.092166
| 0.147465
| 0.175115
| 0.21659
| 0.21659
| 0.21659
| 0.21659
| 0.21659
| 0.21659
| 0
| 0.005725
| 0.244957
| 694
| 28
| 88
| 24.785714
| 0.822519
| 0.074928
| 0
| 0.105263
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.210526
| false
| 0.052632
| 0.157895
| 0.052632
| 0.631579
| 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
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
dae3c7fe2e144286cca41125f622f1c538aca990
| 930
|
py
|
Python
|
python/pylibcugraph/pylibcugraph/tests/conftest.py
|
BradReesWork/cugraph
|
9ddea03a724e9b32950ed6282120007c76482cbc
|
[
"Apache-2.0"
] | 991
|
2018-12-05T22:07:52.000Z
|
2022-03-31T10:45:45.000Z
|
python/pylibcugraph/pylibcugraph/tests/conftest.py
|
BradReesWork/cugraph
|
9ddea03a724e9b32950ed6282120007c76482cbc
|
[
"Apache-2.0"
] | 1,929
|
2018-12-06T14:06:18.000Z
|
2022-03-31T20:01:00.000Z
|
python/pylibcugraph/pylibcugraph/tests/conftest.py
|
BradReesWork/cugraph
|
9ddea03a724e9b32950ed6282120007c76482cbc
|
[
"Apache-2.0"
] | 227
|
2018-12-06T18:10:15.000Z
|
2022-03-28T19:03:15.000Z
|
# Copyright (c) 2021, NVIDIA CORPORATION.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import pytest
@pytest.fixture
def package_under_test():
"""
Create a fixture to import the package under test. This is useful since
bugs that prevent the package under test from being imported will not
prevent pytest from collecting, listing, running, etc. the tests.
"""
import pylibcugraph
return pylibcugraph
| 35.769231
| 76
| 0.749462
| 137
| 930
| 5.072993
| 0.635037
| 0.086331
| 0.069065
| 0.046043
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.01061
| 0.189247
| 930
| 25
| 77
| 37.2
| 0.911141
| 0.829032
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| true
| 0
| 0.4
| 0
| 0.8
| 0
| 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
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
dafd8dcd94b6b72de7f643af9793e0d2d384d274
| 124
|
py
|
Python
|
run.py
|
chienius/anicolle
|
687fe1ddb8675b33f6f5f6fde4936fef7542f0f9
|
[
"MIT"
] | 3
|
2015-10-15T11:05:23.000Z
|
2016-03-28T21:37:49.000Z
|
run.py
|
chienius/anicolle
|
687fe1ddb8675b33f6f5f6fde4936fef7542f0f9
|
[
"MIT"
] | 4
|
2015-12-28T07:27:56.000Z
|
2017-12-24T07:34:45.000Z
|
run.py
|
chienius/anicolle
|
687fe1ddb8675b33f6f5f6fde4936fef7542f0f9
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
from anicolle import command
if __name__ == '__main__':
command.main()
| 15.5
| 28
| 0.645161
| 16
| 124
| 4.5
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.019608
| 0.177419
| 124
| 7
| 29
| 17.714286
| 0.686275
| 0.346774
| 0
| 0
| 0
| 0
| 0.101266
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 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
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
970f3ed367260f3ae0f1b982bcde506cce2d1ebe
| 1,794
|
py
|
Python
|
Exscript/stdlib/crypt.py
|
saveshodhan/exscript
|
72718eee3e87b345d5a5255be9824e867e42927b
|
[
"MIT"
] | 226
|
2015-01-20T19:59:06.000Z
|
2022-01-02T11:13:01.000Z
|
Exscript/stdlib/crypt.py
|
saveshodhan/exscript
|
72718eee3e87b345d5a5255be9824e867e42927b
|
[
"MIT"
] | 155
|
2015-01-02T07:56:27.000Z
|
2022-01-09T20:56:19.000Z
|
Exscript/stdlib/crypt.py
|
saveshodhan/exscript
|
72718eee3e87b345d5a5255be9824e867e42927b
|
[
"MIT"
] | 114
|
2015-01-03T11:48:17.000Z
|
2022-01-26T02:50:43.000Z
|
#
# Copyright (C) 2010-2017 Samuel Abels
# The MIT License (MIT)
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files
# (the "Software"), to deal in the Software without restriction,
# including without limitation the rights to use, copy, modify, merge,
# publish, distribute, sublicense, and/or sell copies of the Software,
# and to permit persons to whom the Software is furnished to do so,
# subject to the following conditions:
#
# The above copyright notice and this permission notice shall be
# included in all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
# IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
# CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
# TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
# SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
from Exscript.util import crypt
from Exscript.stdlib.util import secure_function
@secure_function
def otp(scope, password, seed, seqs):
"""
Calculates a one-time password hash using the given password, seed, and
sequence number and returns it.
Uses the md4/sixword algorithm as supported by TACACS+ servers.
:type password: string
:param password: A password.
:type seed: string
:param seed: A username.
:type seqs: int
:param seqs: A sequence number, or a list of sequence numbers.
:rtype: string
:return: A hash, or a list of hashes.
"""
return [crypt.otp(password[0], seed[0], int(seq)) for seq in seqs]
| 40.772727
| 75
| 0.743032
| 271
| 1,794
| 4.911439
| 0.520295
| 0.066116
| 0.019534
| 0.013524
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007581
| 0.191193
| 1,794
| 43
| 76
| 41.72093
| 0.909717
| 0.82553
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0.4
| 0.4
| 0
| 0.8
| 0
| 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
| 1
| 1
| 0
| 1
| 0
|
0
| 4
|
971cab3d727f8cdb84b56a56ab9c1cfae599c51f
| 409
|
py
|
Python
|
src/permission/logics/__init__.py
|
dkopitsa/django-permission
|
0319ea3bf0993ca1bd7232e4d60c4b8ec635787d
|
[
"MIT"
] | 234
|
2015-01-05T17:09:08.000Z
|
2021-11-15T09:52:43.000Z
|
src/permission/logics/__init__.py
|
dkopitsa/django-permission
|
0319ea3bf0993ca1bd7232e4d60c4b8ec635787d
|
[
"MIT"
] | 54
|
2015-02-13T08:06:32.000Z
|
2021-05-19T14:07:03.000Z
|
src/permission/logics/__init__.py
|
dkopitsa/django-permission
|
0319ea3bf0993ca1bd7232e4d60c4b8ec635787d
|
[
"MIT"
] | 35
|
2015-04-13T09:10:38.000Z
|
2022-02-15T01:43:03.000Z
|
# coding=utf-8
"""
Permission logic module
"""
from permission.logics.base import PermissionLogic
from permission.logics.author import AuthorPermissionLogic
from permission.logics.collaborators import CollaboratorsPermissionLogic
from permission.logics.groupin import GroupInPermissionLogic
from permission.logics.oneself import OneselfPermissionLogic
from permission.logics.staff import StaffPermissionLogic
| 37.181818
| 72
| 0.872861
| 42
| 409
| 8.5
| 0.5
| 0.235294
| 0.336134
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.002646
| 0.075795
| 409
| 10
| 73
| 40.9
| 0.941799
| 0.090465
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 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
| 1
| 0
| 0
| 0
|
0
| 4
|
973b30d520c4f835b1d1c8d17242ebe04e5a6684
| 1,562
|
py
|
Python
|
marqeta/response_models/access_token_response.py
|
marqeta/marqeta-python
|
66fa690eb910825c510a391720b0fe717fac0234
|
[
"MIT"
] | 21
|
2019-04-12T09:02:17.000Z
|
2022-02-18T11:39:06.000Z
|
marqeta/response_models/access_token_response.py
|
marqeta/marqeta-python
|
66fa690eb910825c510a391720b0fe717fac0234
|
[
"MIT"
] | 1
|
2020-07-22T21:27:40.000Z
|
2020-07-23T17:38:43.000Z
|
marqeta/response_models/access_token_response.py
|
marqeta/marqeta-python
|
66fa690eb910825c510a391720b0fe717fac0234
|
[
"MIT"
] | 10
|
2019-05-08T14:20:37.000Z
|
2021-09-20T18:09:26.000Z
|
from datetime import datetime, date
from marqeta.response_models.application import Application
from marqeta.response_models import datetime_object
import json
import re
class AccessTokenResponse(object):
def __init__(self, json_response):
self.json_response = json_response
def __str__(self):
return json.dumps(self.json_response, default=self.json_serial)
@staticmethod
def json_serial(o):
if isinstance(o, datetime) or isinstance(o, date):
return o.__str__()
@property
def token(self):
return self.json_response.get('token', None)
@property
def expires(self):
if 'expires' in self.json_response:
return datetime_object('expires', self.json_response)
@property
def application(self):
if 'application' in self.json_response:
return Application(self.json_response['application'])
@property
def tokenTypeMarqetaMaster(self):
return self.json_response.get('tokenTypeMarqetaMaster', None)
@property
def user_token(self):
return self.json_response.get('user_token', None)
@property
def master_roles(self):
return self.json_response.get('master_roles', None)
@property
def token_type(self):
return self.json_response.get('token_type', None)
@property
def one_time(self):
return self.json_response.get('one_time', None)
def __repr__(self):
return '<Marqeta.response_models.access_token_response.AccessTokenResponse>' + self.__str__()
| 26.033333
| 102
| 0.691421
| 185
| 1,562
| 5.562162
| 0.221622
| 0.108844
| 0.202138
| 0.104956
| 0.23518
| 0.188533
| 0.103984
| 0
| 0
| 0
| 0
| 0
| 0.215109
| 1,562
| 59
| 103
| 26.474576
| 0.839315
| 0
| 0
| 0.190476
| 0
| 0
| 0.108835
| 0.056978
| 0
| 0
| 0
| 0
| 0
| 1
| 0.285714
| false
| 0
| 0.119048
| 0.190476
| 0.690476
| 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
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
976d354e4b4d38f8b27c274706071c4b452b2bf6
| 174
|
py
|
Python
|
gym/vizdoomgym/vizdoomgym/envs/vizdoommywayhome_dense.py
|
utanashati/curiosity-recast
|
00c6efedb110eed8f37a1d1a152371d7a8707a92
|
[
"MIT"
] | null | null | null |
gym/vizdoomgym/vizdoomgym/envs/vizdoommywayhome_dense.py
|
utanashati/curiosity-recast
|
00c6efedb110eed8f37a1d1a152371d7a8707a92
|
[
"MIT"
] | null | null | null |
gym/vizdoomgym/vizdoomgym/envs/vizdoommywayhome_dense.py
|
utanashati/curiosity-recast
|
00c6efedb110eed8f37a1d1a152371d7a8707a92
|
[
"MIT"
] | 1
|
2021-12-14T12:20:39.000Z
|
2021-12-14T12:20:39.000Z
|
from vizdoomgym.envs.vizdoomenv import VizdoomEnv
class VizdoomMyWayHomeDense(VizdoomEnv):
def __init__(self):
super(VizdoomMyWayHomeDense, self).__init__(10)
| 21.75
| 55
| 0.775862
| 17
| 174
| 7.470588
| 0.705882
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.013423
| 0.143678
| 174
| 7
| 56
| 24.857143
| 0.838926
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0
| 0.75
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
97738449d05b1dfbeb6ebeb4879958c3d8fca483
| 82
|
py
|
Python
|
wiki/apps.py
|
sjsafranek/django_wiki
|
f73723f6e9e17c9b9ace6519d9a3cd6e1e42bf7a
|
[
"MIT"
] | 1
|
2020-05-12T05:39:03.000Z
|
2020-05-12T05:39:03.000Z
|
wiki/apps.py
|
sjsafranek/django_wiki
|
f73723f6e9e17c9b9ace6519d9a3cd6e1e42bf7a
|
[
"MIT"
] | 8
|
2019-12-25T21:32:49.000Z
|
2022-02-11T19:28:33.000Z
|
wiki/apps.py
|
kalevhark/kroonika
|
a2d7a80666e742e62a3d2bcf72a597bf103ab9c7
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class WikiConfig(AppConfig):
name = 'wiki'
| 16.4
| 33
| 0.743902
| 10
| 82
| 6.1
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.170732
| 82
| 4
| 34
| 20.5
| 0.897059
| 0
| 0
| 0
| 0
| 0
| 0.04878
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
9782d689b3007f2f19d9216439cc231cff63a397
| 182
|
py
|
Python
|
FHIRPower/DataInterface/sqlinterface_test.py
|
NematiLab/Streaming-Sepsis-Prediction-System-for-Intensive-Care-Units
|
fb5ad260fb8d264d85aea9e6c895d1700eea4d11
|
[
"Apache-2.0"
] | 2
|
2019-05-16T16:41:22.000Z
|
2021-04-22T22:06:49.000Z
|
FHIRPower/DataInterface/sqlinterface_test.py
|
NematiLab/Streaming-Sepsis-Prediction-System-for-Intensive-Care-Units
|
fb5ad260fb8d264d85aea9e6c895d1700eea4d11
|
[
"Apache-2.0"
] | null | null | null |
FHIRPower/DataInterface/sqlinterface_test.py
|
NematiLab/Streaming-Sepsis-Prediction-System-for-Intensive-Care-Units
|
fb5ad260fb8d264d85aea9e6c895d1700eea4d11
|
[
"Apache-2.0"
] | 3
|
2019-03-26T01:39:18.000Z
|
2020-02-02T19:06:33.000Z
|
from sqlinterface import SqlInterface
a = SqlInterface()
a.addObservationToDatabase(123,'Joel','2017-01-01T01:01:01',0.0,0.0,0.0,0.0,0.0,0.0,0.0)
print a.retrieveLatestRecord('3')
| 26
| 88
| 0.741758
| 33
| 182
| 4.090909
| 0.424242
| 0.192593
| 0.266667
| 0.325926
| 0.103704
| 0.103704
| 0.103704
| 0.103704
| 0.103704
| 0.103704
| 0
| 0.188235
| 0.065934
| 182
| 6
| 89
| 30.333333
| 0.605882
| 0
| 0
| 0
| 0
| 0
| 0.131868
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.25
| null | null | 0.25
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
978f22e375467aa43164a00cf6d86426f674e41a
| 217
|
py
|
Python
|
Programming Languages/Python/Theory/100_Python_Challenges/Section_3_List/55. highest number in a list.py
|
jaswinder9051998/Resources
|
fd468af37bf24ca57555d153ee64693c018e822e
|
[
"MIT"
] | 101
|
2021-12-20T11:57:11.000Z
|
2022-03-23T09:49:13.000Z
|
Programming Languages/Python/Theory/100_Python_Challenges/Section_3_List/55. highest number in a list.py
|
Sid-1164/Resources
|
3987dcaeddc8825f9bc79609ff26094282b8ece1
|
[
"MIT"
] | 4
|
2022-01-12T11:55:56.000Z
|
2022-02-12T04:53:33.000Z
|
Programming Languages/Python/Theory/100_Python_Challenges/Section_3_List/55. highest number in a list.py
|
Sid-1164/Resources
|
3987dcaeddc8825f9bc79609ff26094282b8ece1
|
[
"MIT"
] | 38
|
2022-01-12T11:56:16.000Z
|
2022-03-23T10:07:52.000Z
|
"""
Write a Python function that returns the highest number in a list.
input_list = [9,6,45,67,12]
Expected output = 67
"""
def high_num(input_list):
input_list.sort()
return input_list[-1]
| 14.466667
| 66
| 0.645161
| 34
| 217
| 3.970588
| 0.735294
| 0.266667
| 0.192593
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.067073
| 0.24424
| 217
| 14
| 67
| 15.5
| 0.756098
| 0.543779
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0
| 0.666667
| 0
| 0
| 0
| 0
| null | 1
| 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
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
9794c0a84c640c2c2e36fc6a853d13294258139f
| 87
|
py
|
Python
|
main.py
|
leonelcs/python_learning
|
f583cda1797e9b2e6658ac32659b79ccd29073fa
|
[
"MIT"
] | null | null | null |
main.py
|
leonelcs/python_learning
|
f583cda1797e9b2e6658ac32659b79ccd29073fa
|
[
"MIT"
] | null | null | null |
main.py
|
leonelcs/python_learning
|
f583cda1797e9b2e6658ac32659b79ccd29073fa
|
[
"MIT"
] | null | null | null |
from learning.trees import traversals
if __name__ == "__main__":
traversals.main()
| 21.75
| 37
| 0.747126
| 10
| 87
| 5.7
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.149425
| 87
| 4
| 38
| 21.75
| 0.77027
| 0
| 0
| 0
| 0
| 0
| 0.090909
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 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
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
97b4882b83fa90e484f32190eda21b1fc5c11753
| 15,434
|
py
|
Python
|
tests/unit/modules/readers/test_WeightQcdEwk.py
|
shane-breeze/zinv-analysis
|
496abf9cb0e77831d580be417bcad7845c347704
|
[
"MIT"
] | 1
|
2019-02-06T12:15:42.000Z
|
2019-02-06T12:15:42.000Z
|
tests/unit/modules/readers/test_WeightQcdEwk.py
|
shane-breeze/zinv-analysis
|
496abf9cb0e77831d580be417bcad7845c347704
|
[
"MIT"
] | 12
|
2019-03-27T15:52:34.000Z
|
2020-02-06T12:09:37.000Z
|
tests/unit/modules/readers/test_WeightQcdEwk.py
|
shane-breeze/zinv-analysis
|
496abf9cb0e77831d580be417bcad7845c347704
|
[
"MIT"
] | 1
|
2019-03-14T17:23:33.000Z
|
2019-03-14T17:23:33.000Z
|
import pytest
import mock
import os
import numpy as np
import awkward as awk
from zinv.modules.readers import WeightQcdEwk
class DummyEvent(object):
def __init__(self):
self.iblock = 0
self.source = ''
self.nsig = 0.
self.cache = {}
self.config = mock.MagicMock()
def register_function(self, event, name, function):
self.__dict__[name] = function
@pytest.fixture()
def event():
return DummyEvent()
@pytest.fixture()
def module():
return WeightQcdEwk(
input_paths = {
"ZJetsToNuNu": ("http://www.hep.ph.ic.ac.uk/~sdb15/Analysis/ZinvWidth/data/qcd_ewk/vvj.dat", "vvj_pTV_{}"),
"WJetsToLNu": ("http://www.hep.ph.ic.ac.uk/~sdb15/Analysis/ZinvWidth/data/qcd_ewk/evj.dat", "evj_pTV_{}"),
"DYJetsToLL": ("http://www.hep.ph.ic.ac.uk/~sdb15/Analysis/ZinvWidth/data/qcd_ewk/eej.dat", "eej_pTV_{}"),
},
underflow = True,
overflow = True,
formula = "((K_NNLO + d1k_qcd*d1K_NNLO + d2k_qcd*d2K_NNLO + d3k_qcd*d3K_NNLO)"\
"*(1 + kappa_EW + d1k_ew*d1kappa_EW + isz*(d2k_ew_z*d2kappa_EW + d3k_ew_z*d3kappa_EW)"\
"+ isw*(d2k_ew_w*d2kappa_EW + d3k_ew_w*d3kappa_EW))"\
"+ dk_mix*dK_NNLO_mix)"\
"/(K_NLO + d1k_qcd*d1K_NLO + d2k_qcd*d2K_NLO + d3k_qcd*d3K_NLO)",
params = ["K_NLO", "d1K_NLO", "d2K_NLO", "d3K_NLO", "K_NNLO", "d1K_NNLO",
"d2K_NNLO", "d3K_NNLO", "kappa_EW", "d1kappa_EW", "d2kappa_EW",
"d3kappa_EW", "dK_NNLO_mix"],
variation_names = ["d1k_qcd", "d2k_qcd", "d3k_qcd", "d1k_ew", "d2k_ew_z",
"d2k_ew_w", "d3k_ew_z", "d3k_ew_w", "dk_mix"],
)
def test_weightqcdewk_init(module):
assert module.input_paths == {
"ZJetsToNuNu": ("http://www.hep.ph.ic.ac.uk/~sdb15/Analysis/ZinvWidth/data/qcd_ewk/vvj.dat", "vvj_pTV_{}"),
"WJetsToLNu": ("http://www.hep.ph.ic.ac.uk/~sdb15/Analysis/ZinvWidth/data/qcd_ewk/evj.dat", "evj_pTV_{}"),
"DYJetsToLL": ("http://www.hep.ph.ic.ac.uk/~sdb15/Analysis/ZinvWidth/data/qcd_ewk/eej.dat", "eej_pTV_{}"),
}
assert module.underflow == True
assert module.overflow == True
assert module.formula == "((K_NNLO + d1k_qcd*d1K_NNLO + d2k_qcd*d2K_NNLO + d3k_qcd*d3K_NNLO)"\
"*(1 + kappa_EW + d1k_ew*d1kappa_EW + isz*(d2k_ew_z*d2kappa_EW + d3k_ew_z*d3kappa_EW)"\
"+ isw*(d2k_ew_w*d2kappa_EW + d3k_ew_w*d3kappa_EW))"\
"+ dk_mix*dK_NNLO_mix)"\
"/(K_NLO + d1k_qcd*d1K_NLO + d2k_qcd*d2K_NLO + d3k_qcd*d3K_NLO)"
assert module.params == [
"K_NLO", "d1K_NLO", "d2K_NLO", "d3K_NLO", "K_NNLO", "d1K_NNLO",
"d2K_NNLO", "d3K_NNLO", "kappa_EW", "d1kappa_EW", "d2kappa_EW",
"d3kappa_EW", "dK_NNLO_mix",
]
assert module.variation_names == [
"d1k_qcd", "d2k_qcd", "d3k_qcd", "d1k_ew", "d2k_ew_z",
"d2k_ew_w", "d3k_ew_z", "d3k_ew_w", "dk_mix",
]
@pytest.mark.parametrize(
"inputs,outputs", (
[{
"parent": "ZJetsToNuNu",
"underflow": True,
"overflow": True,
}, {
"result": True,
}], [{
"parent": "ZJetsToNuNu",
"underflow": False,
"overflow": False,
}, {
"result": True,
}], [{
"parent": "WJetsToLNu",
"underflow": True,
"overflow": True,
}, {
"result": True,
}], [{
"parent": "DYJetsToLL",
"underflow": True,
"overflow": True,
}, {
"result": True,
}], [{
"parent": "Other",
"underflow": True,
"overflow": True,
}, {
"result": True,
}],
)
)
def test_weightqcdewk_begin(module, event, inputs, outputs):
event.config.dataset.parent = inputs["parent"]
module.underflow = inputs["underflow"]
module.overflow = inputs["overflow"]
module.begin(event)
assert hasattr(module, "input_df") == outputs["result"]
@pytest.mark.parametrize(
"inputs,outputs", (
[{
"parent": "ZJetsToNuNu",
"vpt": [0., 10., 20., 30., 50., 100., 200., 500., 1000., 2000., 5000., 10000.],
"source": "",
"nsig": 0.,
}, {
"weight": [1.000000000000000, 1.000000000000000, 1.000000000000000, 1.071991350069300, 1.085072600134150, 1.069131960784340, 1.030109454980090, 0.943911876078431, 0.864166469122489, 0.774704840108300, 0.721218007769897, 0.721218007769897],
}], [{
"parent": "ZJetsToNuNu",
"vpt": [0., 10., 20., 30., 50., 100., 200., 500., 1000., 2000., 5000., 10000.],
"source": "d1k_qcd",
"nsig": 1.,
}, {
"weight": [1.000000000000000, 1.000000000000000, 1.000000000000000, 1.030696018270610, 1.047052839720330, 1.028880006209720, 0.983430952350240, 0.893472013440240, 0.812196867984426, 0.724960805696453, 0.669169906367341, 0.669169906367341],
}], [{
"parent": "ZJetsToNuNu",
"vpt": [0., 10., 20., 30., 50., 100., 200., 500., 1000., 2000., 5000., 10000.],
"source": "d1k_qcd",
"nsig": -1.,
}, {
"weight": [1.000000000000000, 1.000000000000000, 1.000000000000000, 1.118116532226270, 1.127671526399130, 1.114356625413100, 1.083723429282010, 1.003526722622880, 0.927100703776154, 0.837949066500746, 0.791748390727572, 0.791748390727572],
}], [{
"parent": "ZJetsToNuNu",
"vpt": [0., 10., 20., 30., 50., 100., 200., 500., 1000., 2000., 5000., 10000.],
"source": "d2k_qcd",
"nsig": 1.,
}, {
"weight": [1.000000000000000, 1.000000000000000, 1.000000000000000, 1.117909027020050, 1.127140552545750, 1.112142453111700, 1.073887137958910, 0.958234879552157, 0.841916736146612, 0.733627645604361, 0.673274194374568, 0.673274194374568],
}], [{
"parent": "ZJetsToNuNu",
"vpt": [0., 10., 20., 30., 50., 100., 200., 500., 1000., 2000., 5000., 10000.],
"source": "d3k_qcd",
"nsig": 1.,
}, {
"weight": [1.000000000000000, 1.000000000000000, 1.000000000000000, 1.082327160627540, 1.092411784236760, 1.073723566545470, 1.031150128579600, 0.942417841941239, 0.860581484315055, 0.768699259163798, 0.712640895377803, 0.712640895377803],
}], [{
"parent": "ZJetsToNuNu",
"vpt": [0., 10., 20., 30., 50., 100., 200., 500., 1000., 2000., 5000., 10000.],
"source": "d1k_ew",
"nsig": 1.,
}, {
"weight": [1.000000000000000, 1.000000000000000, 1.000000000000000, 1.071991749507280, 1.085073070394590, 1.069132821120370, 1.030186252380140, 0.945344716388350, 0.871445952688314, 0.801250740529584, 0.774453223619960, 0.774453223619960],
}], [{
"parent": "ZJetsToNuNu",
"vpt": [0., 10., 20., 30., 50., 100., 200., 500., 1000., 2000., 5000., 10000.],
"source": "d2k_ew_z",
"nsig": 1.,
}, {
"weight": [1.000000000000000, 1.000000000000000, 1.000000000000000, 1.072396129258980, 1.085415071405440, 1.069300713259830, 1.032380364575490, 0.951036728220107, 0.877034497455687, 0.795210818772591, 0.747938032557757, 0.747938032557757],
}], [{
"parent": "ZJetsToNuNu",
"vpt": [0., 10., 20., 30., 50., 100., 200., 500., 1000., 2000., 5000., 10000.],
"source": "d2k_ew_w",
"nsig": 1.,
}, {
"weight": [1.000000000000000, 1.000000000000000, 1.000000000000000, 1.071991350069300, 1.085072600134150, 1.069131960784340, 1.030109454980090, 0.943911876078431, 0.864166469122489, 0.774704840108300, 0.721218007769897, 0.721218007769897],
}], [{
"parent": "ZJetsToNuNu",
"vpt": [0., 10., 20., 30., 50., 100., 200., 500., 1000., 2000., 5000., 10000.],
"source": "d3k_ew_z",
"nsig": 1.,
}, {
"weight": [1.000000000000000, 1.000000000000000, 1.000000000000000, 1.072039280090420, 1.085161872164570, 1.069536581692570, 1.031869050982240, 0.950568389353791, 0.879032083520971, 0.801688322421896, 0.753732857417780, 0.753732857417780],
}], [{
"parent": "ZJetsToNuNu",
"vpt": [0., 10., 20., 30., 50., 100., 200., 500., 1000., 2000., 5000., 10000.],
"source": "d3k_ew_w",
"nsig": 1.,
}, {
"weight": [1.000000000000000, 1.000000000000000, 1.000000000000000, 1.071991350069300, 1.085072600134150, 1.069131960784340, 1.030109454980090, 0.943911876078431, 0.864166469122489, 0.774704840108300, 0.721218007769897, 0.721218007769897],
}], [{
"parent": "ZJetsToNuNu",
"vpt": [0., 10., 20., 30., 50., 100., 200., 500., 1000., 2000., 5000., 10000.],
"source": "dk_mix",
"nsig": 1.,
}, {
"weight": [1.000000000000000, 1.000000000000000, 1.000000000000000, 1.071739594941190, 1.084841705104440, 1.069235891413690, 1.031720721296600, 0.948853206957072, 0.872806553702445, 0.788247086111982, 0.739514507629186, 0.739514507629186],
}], [{
"parent": "Other",
"vpt": [0., 10., 20., 30., 50., 100., 200., 500., 1000., 2000., 5000., 10000.],
"source": "",
"nsig": 0.,
}, {
"weight": [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.],
}], [{
"parent": "ZJetsToNuNu",
"vpt": [0., 10., 20., 30., 50., 100., 200., 500., 1000., 2000., 5000., 10000.],
"source": "Other",
"nsig": 1.,
}, {
"weight": [1.000000000000000, 1.000000000000000, 1.000000000000000, 1.071991350069300, 1.085072600134150, 1.069131960784340, 1.030109454980090, 0.943911876078431, 0.864166469122489, 0.774704840108300, 0.721218007769897, 0.721218007769897],
}], [{
"parent": "WJetsToLNu",
"vpt": [0., 10., 20., 30., 50., 100., 200., 500., 1000., 2000., 5000., 10000.],
"source": "",
"nsig": 0.,
}, {
"weight": [1.000000000000000, 1.000000000000000, 1.000000000000000, 1.023410820320550, 1.024130192347730, 1.020314922339990, 0.990417237421081, 0.903637981081761, 0.819501618321920, 0.712597842165201, 0.588238663003707, 0.588238663003707],
}], [{
"parent": "WJetsToLNu",
"vpt": [0., 10., 20., 30., 50., 100., 200., 500., 1000., 2000., 5000., 10000.],
"source": "d2k_ew_z",
"nsig": 1.,
}, {
"weight": [1.000000000000000, 1.000000000000000, 1.000000000000000, 1.023410820320550, 1.024130192347730, 1.020314922339990, 0.990417237421081, 0.903637981081761, 0.819501618321920, 0.712597842165201, 0.588238663003707, 0.588238663003707],
}], [{
"parent": "WJetsToLNu",
"vpt": [0., 10., 20., 30., 50., 100., 200., 500., 1000., 2000., 5000., 10000.],
"source": "d2k_ew_w",
"nsig": 1.,
}, {
"weight": [1.000000000000000, 1.000000000000000, 1.000000000000000, 1.023589821835780, 1.024624881588750, 1.021715924807730, 0.994258370841088, 0.912723304594549, 0.834961499333771, 0.737826329444925, 0.624669558858385, 0.624669558858385],
}], [{
"parent": "WJetsToLNu",
"vpt": [0., 10., 20., 30., 50., 100., 200., 500., 1000., 2000., 5000., 10000.],
"source": "d3k_ew_z",
"nsig": 1.,
}, {
"weight": [1.000000000000000, 1.000000000000000, 1.000000000000000, 1.023410820320550, 1.024130192347730, 1.020314922339990, 0.990417237421081, 0.903637981081761, 0.819501618321920, 0.712597842165201, 0.588238663003707, 0.588238663003707],
}], [{
"parent": "WJetsToLNu",
"vpt": [0., 10., 20., 30., 50., 100., 200., 500., 1000., 2000., 5000., 10000.],
"source": "d3k_ew_w",
"nsig": 1.,
}, {
"weight": [1.000000000000000, 1.000000000000000, 1.000000000000000, 1.023481240006130, 1.024178658506250, 1.020342371632680, 0.990579502649820, 0.905652659464953, 0.825173382215209, 0.710119702126497, 0.522045582148113, 0.522045582148113],
}], [{
"parent": "DYJetsToLL",
"vpt": [0., 10., 20., 30., 50., 100., 200., 500., 1000., 2000., 5000., 10000.],
"source": "",
"nsig": 0.,
}, {
"weight": [1.000000000000000, 1.000000000000000, 1.000000000000000, 1.057695056859910, 1.065163565548090, 1.040220306435990, 1.003716881754210, 0.929583009857246, 0.866283824910207, 0.798585450112642, 0.762354801796986, 0.762354801796986],
}], [{
"parent": "DYJetsToLL",
"vpt": [0., 10., 20., 30., 50., 100., 200., 500., 1000., 2000., 5000., 10000.],
"source": "d2k_ew_z",
"nsig": 1.,
}, {
"weight": [1.000000000000000, 1.000000000000000, 1.000000000000000, 1.057893818386340, 1.065452466733380, 1.041603936377610, 1.007252710288180, 0.937512118447112, 0.879286702498615, 0.818381967026762, 0.787824254431365, 0.787824254431365],
}], [{
"parent": "DYJetsToLL",
"vpt": [0., 10., 20., 30., 50., 100., 200., 500., 1000., 2000., 5000., 10000.],
"source": "d2k_ew_w",
"nsig": 0.,
}, {
"weight": [1.000000000000000, 1.000000000000000, 1.000000000000000, 1.057695056859910, 1.065163565548090, 1.040220306435990, 1.003716881754210, 0.929583009857246, 0.866283824910207, 0.798585450112642, 0.762354801796986, 0.762354801796986],
}], [{
"parent": "DYJetsToLL",
"vpt": [0., 10., 20., 30., 50., 100., 200., 500., 1000., 2000., 5000., 10000.],
"source": "d3k_ew_z",
"nsig": 1.,
}, {
"weight": [1.000000000000000, 1.000000000000000, 1.000000000000000, 1.057765538281910, 1.065258256901350, 1.040269795465800, 1.004102021154720, 0.934022109645626, 0.880831209866396, 0.832310598300416, 0.810421192941440, 0.810421192941440],
}], [{
"parent": "DYJetsToLL",
"vpt": [0., 10., 20., 30., 50., 100., 200., 500., 1000., 2000., 5000., 10000.],
"source": "d3k_ew_w",
"nsig": 0.,
}, {
"weight": [1.000000000000000, 1.000000000000000, 1.000000000000000, 1.057695056859910, 1.065163565548090, 1.040220306435990, 1.003716881754210, 0.929583009857246, 0.866283824910207, 0.798585450112642, 0.762354801796986, 0.762354801796986],
}],
)
)
def test_weightqcdewk_event(module, event, inputs, outputs):
event.config.dataset.parent = inputs["parent"]
event.source = inputs["source"]
event.nsig = inputs["nsig"]
event.size = len(inputs["vpt"])
module.begin(event)
vpt = np.array(inputs["vpt"], dtype=np.float32)
event.GenPartBoson = mock.Mock(side_effect=lambda ev, attr: vpt)
weight = event.WeightQcdEwk(event, event.source, event.nsig)
oweight = np.array(outputs["weight"], dtype=np.float32)
print(inputs["parent"])
print(inputs["source"])
print(inputs["nsig"])
print(weight)
print(oweight)
assert np.allclose(weight, oweight, rtol=1e-6, equal_nan=True)
| 51.791946
| 251
| 0.57017
| 1,626
| 15,434
| 5.296433
| 0.153752
| 0.12262
| 0.130283
| 0.163493
| 0.670808
| 0.670808
| 0.666744
| 0.642592
| 0.642592
| 0.642592
| 0
| 0.449701
| 0.253531
| 15,434
| 297
| 252
| 51.96633
| 0.297804
| 0
| 0
| 0.690141
| 0
| 0.021127
| 0.176234
| 0.008941
| 0
| 0
| 0
| 0
| 0.028169
| 1
| 0.024648
| false
| 0
| 0.021127
| 0.007042
| 0.056338
| 0.017606
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
97b667a9cedc4b60671ca68969e83be1afeb391d
| 595
|
py
|
Python
|
src/lib/mine/src_gen/document/markdown/complete.py
|
rdw20170120/workstation
|
ed19aa930a83885c2a8cb58eb0bb5afe58f95df3
|
[
"MIT"
] | null | null | null |
src/lib/mine/src_gen/document/markdown/complete.py
|
rdw20170120/workstation
|
ed19aa930a83885c2a8cb58eb0bb5afe58f95df3
|
[
"MIT"
] | 2
|
2021-04-06T18:07:32.000Z
|
2021-06-02T01:50:40.000Z
|
src/lib/mine/src_gen/document/markdown/complete.py
|
rdw20170120/workstation
|
ed19aa930a83885c2a8cb58eb0bb5afe58f95df3
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env false
"""TODO: Write
"""
# Internal packages (absolute references, distributed with Python)
# External packages (absolute references, NOT distributed with Python)
# Library modules (absolute references, NOT packaged, in project)
from src_gen.document.markdown.source import generate
from src_gen.document.markdown.structure import *
# Project modules (relative references, NOT packaged, in project)
def _document():
return [
h1("TODO"),
]
def generate_document(directory, filename):
generate(_document(), directory, filename)
"""DisabledContent
"""
| 23.8
| 70
| 0.737815
| 67
| 595
| 6.477612
| 0.537313
| 0.124424
| 0.119816
| 0.105991
| 0.258065
| 0
| 0
| 0
| 0
| 0
| 0
| 0.001992
| 0.156303
| 595
| 24
| 71
| 24.791667
| 0.86255
| 0.49916
| 0
| 0
| 0
| 0
| 0.015094
| 0
| 0
| 0
| 0
| 0.041667
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0.125
| 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
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
97b99d04285bdc8f7182d65d897a9c477e4bc413
| 4,569
|
py
|
Python
|
django_pgpool/tests.py
|
tru-software/django_pgpool
|
a21082299dc4c89476b00e06826963fbcb1de85c
|
[
"MIT"
] | null | null | null |
django_pgpool/tests.py
|
tru-software/django_pgpool
|
a21082299dc4c89476b00e06826963fbcb1de85c
|
[
"MIT"
] | null | null | null |
django_pgpool/tests.py
|
tru-software/django_pgpool
|
a21082299dc4c89476b00e06826963fbcb1de85c
|
[
"MIT"
] | null | null | null |
import sys
import time
import gevent
import pytest
import collections
from psycopg2 import OperationalError
from .psycopg2_pool import PostgresConnectionPool
dsn = "dbname=template1"
def test1():
"""
Waiting for one slot - total 0.2s
"""
pool = PostgresConnectionPool(dsn, maxsize=3, maxwait=1)
start = time.time()
for _ in range(4):
gevent.spawn(pool.execute, 'select pg_sleep(0.1);')
gevent.wait()
delay = time.time() - start
assert int(delay * 10) == 2
pool.closeall()
def test2():
"""
Waiting for 4 slots - total 0.3s
"""
pool = PostgresConnectionPool(dsn, maxsize=2, maxwait=2)
start = time.time()
for _ in range(6):
gevent.spawn(pool.execute, 'select pg_sleep(0.1);')
gevent.wait()
delay = time.time() - start
assert int(delay * 10) == 3
pool.closeall()
def test_overflow():
"""
Running "select pg_sleep(0.1);" and reaching the overflow exception
"""
def exec_sleep():
try:
pool.execute('select pg_sleep(0.1);')
exec_sleep.passed += 1
except OperationalError:
exec_sleep.raised += 1
exec_sleep.passed = 0
exec_sleep.raised = 0
pool = PostgresConnectionPool(dsn, maxsize=3, maxwait=0.15)
for _ in range(8):
gevent.spawn(exec_sleep)
gevent.wait()
assert exec_sleep.passed == 6
assert exec_sleep.raised == 2
def test_no_expires():
"""
"""
def exec_sleep():
with pool.cursor() as cursor:
cursor.execute('select pg_backend_pid();')
pid = cursor.fetchone()[0]
exec_sleep.conns_pids[pid] += 1
cursor.execute('select pg_sleep(0.15);')
exec_sleep.conns_pids = collections.defaultdict(int)
pool = PostgresConnectionPool(dsn, maxsize=2, maxwait=0.5, expires=0.4)
for _ in range(8):
gevent.spawn(exec_sleep)
gevent.wait()
assert len(exec_sleep.conns_pids) == 2
gevent.sleep(0.4)
pool.cleanup()
assert pool._size == 0
def test_expires():
"""
"""
def exec_sleep():
with pool.cursor() as cursor:
cursor.execute('select pg_backend_pid();')
pid = cursor.fetchone()[0]
exec_sleep.conns_pids[pid] += 1
cursor.execute('select pg_sleep(0.15);')
exec_sleep.conns_pids = collections.defaultdict(int)
pool = PostgresConnectionPool(dsn, maxsize=2, maxwait=0.5, expires=0.1)
assert pool._size == 0
gevent.spawn(exec_sleep)
gevent.wait()
assert pool._size == 0
assert len(pool._pool) == 0
assert len(exec_sleep.conns_pids) == 1
# Old connection should expire and new one should be created
gevent.spawn(exec_sleep)
gevent.wait()
assert pool._size == 0
assert len(pool._pool) == 0
assert len(exec_sleep.conns_pids) == 2
def test_cleanup():
"""
"""
def exec_sleep():
with pool.cursor() as cursor:
cursor.execute('select pg_backend_pid();')
pid = cursor.fetchone()[0]
exec_sleep.conns_pids[pid] += 1
cursor.execute('select pg_sleep(0.15);')
exec_sleep.conns_pids = collections.defaultdict(int)
pool = PostgresConnectionPool(dsn, maxsize=4, maxwait=0.5, expires=2.0, cleanup=0.2)
assert pool._size == 0
for _ in range(4):
gevent.spawn(exec_sleep)
gevent.wait()
assert pool._size == 4
assert len(pool._pool) == 4
assert len(exec_sleep.conns_pids) == 4
gevent.spawn(exec_sleep)
gevent.wait()
# latest_use = 0, 0, 0, 0
gevent.spawn(exec_sleep)
assert pool._size == 4
gevent.wait()
# latest_use = 0, 0.15, 0.15, 0.15
gevent.spawn(exec_sleep)
assert pool._size == 1
gevent.wait()
# latest_use = 0, --> 0.30, 0.30, 0.30 <--
gevent.spawn(exec_sleep)
assert pool._size == 1
gevent.wait()
time.sleep(0.25)
pool.cleanup()
assert pool._size == 0
def test_overflow_and_cleanup():
"""
"""
def exec_sleep():
try:
pool.execute('select pg_sleep(0.1);')
exec_sleep.passed += 1
except OperationalError:
exec_sleep.raised += 1
exec_sleep.passed = 0
exec_sleep.raised = 0
pool = PostgresConnectionPool(dsn, maxsize=3, maxwait=0.15, cleanup=0.0001)
for _ in range(8):
gevent.spawn(exec_sleep)
gevent.wait()
assert exec_sleep.passed == 6
assert exec_sleep.raised == 2
if __name__ == '__main__':
print("usage: python -m pytest -v ./tests.py")
| 21.861244
| 88
| 0.609543
| 604
| 4,569
| 4.445364
| 0.162252
| 0.124022
| 0.055866
| 0.074488
| 0.788454
| 0.782123
| 0.702048
| 0.668901
| 0.64432
| 0.627933
| 0
| 0.041197
| 0.261545
| 4,569
| 208
| 89
| 21.966346
| 0.754594
| 0.068286
| 0
| 0.741935
| 0
| 0
| 0.067639
| 0
| 0
| 0
| 0
| 0
| 0.185484
| 1
| 0.096774
| false
| 0.048387
| 0.056452
| 0
| 0.153226
| 0.008065
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
97ce769b15e130995f9da751d7e6dfd32cb2fff7
| 20
|
py
|
Python
|
11.py
|
Outman888/test
|
af8a903ddde6cf8506effe72914bb6099d3009a9
|
[
"MIT"
] | null | null | null |
11.py
|
Outman888/test
|
af8a903ddde6cf8506effe72914bb6099d3009a9
|
[
"MIT"
] | null | null | null |
11.py
|
Outman888/test
|
af8a903ddde6cf8506effe72914bb6099d3009a9
|
[
"MIT"
] | null | null | null |
i='1'
print(int(i))
| 6.666667
| 13
| 0.55
| 5
| 20
| 2.2
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.055556
| 0.1
| 20
| 2
| 14
| 10
| 0.555556
| 0
| 0
| 0
| 0
| 0
| 0.05
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.5
| 1
| 1
| 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
| 1
|
0
| 4
|
8ae2a366f172b8768cf21d84f7f450b4463ce210
| 110
|
py
|
Python
|
example_consumer_a.py
|
rihorn2/flask-env
|
6d3af9758947011aa5f4c79fe283aaa3543266da
|
[
"MIT"
] | null | null | null |
example_consumer_a.py
|
rihorn2/flask-env
|
6d3af9758947011aa5f4c79fe283aaa3543266da
|
[
"MIT"
] | null | null | null |
example_consumer_a.py
|
rihorn2/flask-env
|
6d3af9758947011aa5f4c79fe283aaa3543266da
|
[
"MIT"
] | null | null | null |
from .shared_server_base import SharedServerBase
class ExampleConsumerA(SharedServerBase):
def __init__()
| 27.5
| 48
| 0.836364
| 11
| 110
| 7.818182
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.109091
| 110
| 4
| 49
| 27.5
| 0.877551
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.333333
| null | null | 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
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
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