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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
46880ad28d510a275a0ef3b605187be19076f07b
| 125
|
py
|
Python
|
tests/test_doctest.py
|
nlaurance/sourceparse
|
f7e1a6b7d35b5189b50a68a174260e4d9bd4e4d1
|
[
"MIT"
] | null | null | null |
tests/test_doctest.py
|
nlaurance/sourceparse
|
f7e1a6b7d35b5189b50a68a174260e4d9bd4e4d1
|
[
"MIT"
] | 1
|
2018-01-09T13:52:58.000Z
|
2018-01-09T14:00:43.000Z
|
tests/test_doctest.py
|
nlaurance/sourceparse
|
f7e1a6b7d35b5189b50a68a174260e4d9bd4e4d1
|
[
"MIT"
] | 1
|
2018-01-04T17:59:36.000Z
|
2018-01-04T17:59:36.000Z
|
import doctest
def test_doctests():
doctest.testfile("../README.rst")
if __name__ == "__main__":
test_doctests()
| 12.5
| 37
| 0.672
| 14
| 125
| 5.285714
| 0.785714
| 0.324324
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.176
| 125
| 9
| 38
| 13.888889
| 0.718447
| 0
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| 0
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| 0
| 0.168
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| 1
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| true
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| 0.4
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| 0
| null | 1
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| 0
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| 0
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| 0
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| null | 0
| 0
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| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
46b2b8e9399a85c379f4285c77e5661d7da16017
| 182
|
py
|
Python
|
bin/django-admin.py
|
aonrobot/MSC-thug-auth-provider
|
aef37ef5a000586b8502cc536244f31e08b9c2db
|
[
"Apache-2.0"
] | null | null | null |
bin/django-admin.py
|
aonrobot/MSC-thug-auth-provider
|
aef37ef5a000586b8502cc536244f31e08b9c2db
|
[
"Apache-2.0"
] | 13
|
2019-07-03T21:28:31.000Z
|
2022-02-26T10:42:05.000Z
|
bin/django-admin.py
|
aonrobot/MSC-thug-auth-provider
|
aef37ef5a000586b8502cc536244f31e08b9c2db
|
[
"Apache-2.0"
] | null | null | null |
#!/Users/propaganda/Documents/work/msc/MSC-thug-auth-provider/bin/python3.7
from django.core import management
if __name__ == "__main__":
management.execute_from_command_line()
| 30.333333
| 75
| 0.791209
| 25
| 182
| 5.32
| 0.88
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.011976
| 0.082418
| 182
| 5
| 76
| 36.4
| 0.784431
| 0.406593
| 0
| 0
| 0
| 0
| 0.074766
| 0
| 0
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| 0
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| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 0
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| 0
| null | 0
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| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
d3b3f8ee565bda866609352e1aa4ec4098fc8f0d
| 301
|
py
|
Python
|
Scripts/selected-glyphs/transform/gridfit.py
|
miguelsousa/hTools2
|
eab400677c1b21bb2519a7354a142e167c2b39ba
|
[
"BSD-3-Clause"
] | null | null | null |
Scripts/selected-glyphs/transform/gridfit.py
|
miguelsousa/hTools2
|
eab400677c1b21bb2519a7354a142e167c2b39ba
|
[
"BSD-3-Clause"
] | null | null | null |
Scripts/selected-glyphs/transform/gridfit.py
|
miguelsousa/hTools2
|
eab400677c1b21bb2519a7354a142e167c2b39ba
|
[
"BSD-3-Clause"
] | null | null | null |
# [h] fit to grid dialog
'''Round different glyph features to a given grid.'''
# debug
import hTools2
reload(hTools2)
if hTools2.DEBUG:
import hTools2.dialogs.glyphs
reload(hTools2.dialogs.glyphs)
# import
from hTools2.dialogs.glyphs import roundToGridDialog
# run
roundToGridDialog()
| 14.333333
| 53
| 0.747508
| 38
| 301
| 5.921053
| 0.552632
| 0.186667
| 0.266667
| 0.231111
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.02381
| 0.162791
| 301
| 20
| 54
| 15.05
| 0.869048
| 0.292359
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 1
| 0
| true
| 0
| 0.428571
| 0
| 0.428571
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| null | 0
| 1
| 1
| 0
| 0
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| 0
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| 0
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| 0
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| null | 0
| 0
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| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
d3cc42aa621427cf5a1dc9c215804beb42adfd74
| 69
|
py
|
Python
|
coding/optimization/alphabet.py
|
Tom83B/rate-code-eff-2019
|
d494d20334fcbbf94865eafef2ec54a4d12557f2
|
[
"MIT"
] | null | null | null |
coding/optimization/alphabet.py
|
Tom83B/rate-code-eff-2019
|
d494d20334fcbbf94865eafef2ec54a4d12557f2
|
[
"MIT"
] | null | null | null |
coding/optimization/alphabet.py
|
Tom83B/rate-code-eff-2019
|
d494d20334fcbbf94865eafef2ec54a4d12557f2
|
[
"MIT"
] | null | null | null |
from optimization.blahut_arimoto import optimize
def kostal_method()
| 23
| 48
| 0.869565
| 9
| 69
| 6.444444
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.086957
| 69
| 3
| 49
| 23
| 0.920635
| 0
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| 0
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| 0
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| 0
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| 0
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| null | null | 0
| 0.5
| null | null | 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 1
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| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
d3efd2a42368c30bf100211718a26f15e4eb78db
| 5,499
|
py
|
Python
|
ietf/group/migrations/0002_groupfeatures_historicalgroupfeatures.py
|
omunroe-com/ietfdb2
|
aeaae292fbd55aca1b6043227ec105e67d73367f
|
[
"BSD-3-Clause"
] | 2
|
2021-11-20T03:40:56.000Z
|
2021-11-20T03:40:59.000Z
|
ietf/group/migrations/0002_groupfeatures_historicalgroupfeatures.py
|
omunroe-com/ietfdb2
|
aeaae292fbd55aca1b6043227ec105e67d73367f
|
[
"BSD-3-Clause"
] | null | null | null |
ietf/group/migrations/0002_groupfeatures_historicalgroupfeatures.py
|
omunroe-com/ietfdb2
|
aeaae292fbd55aca1b6043227ec105e67d73367f
|
[
"BSD-3-Clause"
] | null | null | null |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.13 on 2018-07-10 15:58
from __future__ import unicode_literals
import django.core.validators
import django.db.models.deletion
from django.conf import settings
from django.db import migrations, models
import debug # pyflakes:ignore
import ietf.utils.models
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('name', '0002_agendatypename'),
('group', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='GroupFeatures',
fields=[
('type', ietf.utils.models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, primary_key=True, serialize=False, to='name.GroupTypeName', related_name='features')),
('has_milestones', models.BooleanField(default=False, verbose_name=b'Milestones')),
('has_chartering_process', models.BooleanField(default=False, verbose_name=b'Chartering')),
('has_documents', models.BooleanField(default=False, verbose_name=b'Documents')),
('has_dependencies', models.BooleanField(default=False, verbose_name=b'Dependencies')),
('has_nonsession_materials', models.BooleanField(default=False, verbose_name=b'Materials')),
('has_meetings', models.BooleanField(default=False, verbose_name=b'Meetings')),
('has_reviews', models.BooleanField(default=False, verbose_name=b'Reviews')),
('has_default_jabber', models.BooleanField(default=False, verbose_name=b'Jabber')),
('customize_workflow', models.BooleanField(default=False, verbose_name=b'Workflow')),
('about_page', models.CharField(default=b'ietf.group.views.group_about', max_length=64)),
('default_tab', models.CharField(default=b'ietf.group.views.group_about', max_length=64)),
('material_types', models.CharField(default=b'slides', max_length=64, validators=[django.core.validators.RegexValidator(code=b'invalid', message=b'Enter a comma-separated list of material types', regex=b'[a-z0-9_-]+(,[a-z0-9_-]+)*')])),
('admin_roles', models.CharField(default=b'chair', max_length=64, validators=[django.core.validators.RegexValidator(code=b'invalid', message=b'Enter a comma-separated list of role slugs', regex=b'[a-z0-9_-]+(,[a-z0-9_-]+)*')])),
('agenda_type', models.ForeignKey(default=b'ietf', null=True, on_delete=django.db.models.deletion.CASCADE, to='name.AgendaTypeName')),
],
),
migrations.CreateModel(
name='HistoricalGroupFeatures',
fields=[
('has_milestones', models.BooleanField(default=False, verbose_name=b'Milestones')),
('has_chartering_process', models.BooleanField(default=False, verbose_name=b'Chartering')),
('has_documents', models.BooleanField(default=False, verbose_name=b'Documents')),
('has_dependencies', models.BooleanField(default=False, verbose_name=b'Dependencies')),
('has_nonsession_materials', models.BooleanField(default=False, verbose_name=b'Materials')),
('has_meetings', models.BooleanField(default=False, verbose_name=b'Meetings')),
('has_reviews', models.BooleanField(default=False, verbose_name=b'Reviews')),
('has_default_jabber', models.BooleanField(default=False, verbose_name=b'Jabber')),
('customize_workflow', models.BooleanField(default=False, verbose_name=b'Workflow')),
('about_page', models.CharField(default=b'ietf.group.views.group_about', max_length=64)),
('default_tab', models.CharField(default=b'ietf.group.views.group_about', max_length=64)),
('material_types', models.CharField(default=b'slides', max_length=64, validators=[django.core.validators.RegexValidator(code=b'invalid', message=b'Enter a comma-separated list of material types', regex=b'[a-z0-9_-]+(,[a-z0-9_-]+)*')])),
('admin_roles', models.CharField(default=b'chair', max_length=64, validators=[django.core.validators.RegexValidator(code=b'invalid', message=b'Enter a comma-separated list of role slugs', regex=b'[a-z0-9_-]+(,[a-z0-9_-]+)*')])),
('history_id', models.AutoField(primary_key=True, serialize=False)),
('history_change_reason', models.CharField(max_length=100, null=True)),
('history_date', models.DateTimeField()),
('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)),
('agenda_type', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='name.AgendaTypeName')),
('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)),
('type', ietf.utils.models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='name.GroupTypeName')),
],
options={
'ordering': ('-history_date', '-history_id'),
'get_latest_by': 'history_date',
'verbose_name': 'historical group features',
},
),
]
| 72.355263
| 252
| 0.656119
| 625
| 5,499
| 5.5904
| 0.2144
| 0.059817
| 0.128792
| 0.154551
| 0.729823
| 0.701774
| 0.701774
| 0.689181
| 0.66743
| 0.66743
| 0
| 0.013914
| 0.189671
| 5,499
| 75
| 253
| 73.32
| 0.770197
| 0.015457
| 0
| 0.523077
| 1
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| 0.252865
| 0.065065
| 0
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| 1
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| false
| 0
| 0.107692
| 0
| 0.153846
| 0
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| 0
| 0
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| 1
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
3147cc650f2d70af3229ec8bc54399ea9b246fbf
| 725
|
py
|
Python
|
cifti/__init__.py
|
pauldmccarthy/cifti
|
f9f55d67307732ebfaf97a2417e684f480c97f5e
|
[
"MIT"
] | null | null | null |
cifti/__init__.py
|
pauldmccarthy/cifti
|
f9f55d67307732ebfaf97a2417e684f480c97f5e
|
[
"MIT"
] | null | null | null |
cifti/__init__.py
|
pauldmccarthy/cifti
|
f9f55d67307732ebfaf97a2417e684f480c97f5e
|
[
"MIT"
] | null | null | null |
"""Contains helper objects to easily create, read, write, and manipulate CIFTI files
Functions
---------
load : Loads a CIFTI file returning the matrix and two Axis objects describing the row/columns
save : Saves a matrix and two Axis objects into a CIFTI file
Classes
-------
Axis : Parent class of all cifti axes
BrainModel : cifti axis, where each row/column is a voxel/vertex
Parcels : cifti axis, where each row/column is a parcel
Series : cifti axis describing a time series
Scalar : cifti axis where each row/column has its own name
Label : cifti axis where each row/column has its own name and label table
"""
from .io import read, write, get_axes
from .axis import Axis, Series, Parcels, BrainModel, Label, Scalar
| 38.157895
| 94
| 0.76
| 118
| 725
| 4.661017
| 0.474576
| 0.081818
| 0.101818
| 0.130909
| 0.338182
| 0.254545
| 0.254545
| 0.254545
| 0.145455
| 0.145455
| 0
| 0
| 0.171034
| 725
| 18
| 95
| 40.277778
| 0.915141
| 0.844138
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| 0
| true
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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
|
314bb3efff938f05c401c7b083ea7a05844e32cb
| 99
|
py
|
Python
|
bcpy/features/__init__.py
|
bneurd/bcpy
|
f52b64d3206c38f3131e91b4067a35765991891e
|
[
"MIT"
] | 2
|
2019-05-08T17:35:55.000Z
|
2020-03-06T18:23:40.000Z
|
bcpy/features/__init__.py
|
igornfaustino/bcpy
|
f52b64d3206c38f3131e91b4067a35765991891e
|
[
"MIT"
] | 17
|
2019-07-17T01:36:15.000Z
|
2020-05-02T13:22:27.000Z
|
bcpy/features/__init__.py
|
bneurd/bcpy
|
f52b64d3206c38f3131e91b4067a35765991891e
|
[
"MIT"
] | 1
|
2019-05-08T17:38:35.000Z
|
2019-05-08T17:38:35.000Z
|
from .feature_extract import extract
from . import strategies
__all__ = ['extract', 'strategies']
| 19.8
| 36
| 0.767677
| 11
| 99
| 6.454545
| 0.545455
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.131313
| 99
| 4
| 37
| 24.75
| 0.825581
| 0
| 0
| 0
| 0
| 0
| 0.171717
| 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
|
3160eef83d7d1091c4693eee24410eb01a0f73dc
| 322
|
py
|
Python
|
scripts/ssc/models/TopoAE/debug_topoae.py
|
MrBellamonte/MT-VAEs-TDA
|
8881b5db607c673fb558f7b74ece27f244b16b77
|
[
"MIT"
] | null | null | null |
scripts/ssc/models/TopoAE/debug_topoae.py
|
MrBellamonte/MT-VAEs-TDA
|
8881b5db607c673fb558f7b74ece27f244b16b77
|
[
"MIT"
] | 1
|
2020-09-22T13:04:58.000Z
|
2020-09-22T13:05:23.000Z
|
scripts/ssc/models/TopoAE/debug_topoae.py
|
MrBellamonte/AEs-VAEs-TDA
|
8881b5db607c673fb558f7b74ece27f244b16b77
|
[
"MIT"
] | null | null | null |
from scripts.ssc.models.TopoAE.config_libraries.local_configs.mnist2 import mnist_test_loc
from scripts.ssc.models.TopoAE.config_libraries.swissroll import swissroll_testing
from src.models.TopoAE.train_engine import simulator_TopoAE
if __name__ == "__main__":
simulator_TopoAE(mnist_test_loc.configs_from_grid()[0])
| 46
| 90
| 0.850932
| 46
| 322
| 5.5
| 0.543478
| 0.142292
| 0.110672
| 0.158103
| 0.324111
| 0.324111
| 0.324111
| 0
| 0
| 0
| 0
| 0.006667
| 0.068323
| 322
| 6
| 91
| 53.666667
| 0.836667
| 0
| 0
| 0
| 0
| 0
| 0.024845
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.6
| 0
| 0.6
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
3185b73908fc8c18742ab8325fd0e54fb24f6848
| 206
|
py
|
Python
|
serif/theory/alternate_pos.py
|
BBN-E/ZS4IE
|
357965f3068cfe5098422d8cb0ca4b0f99c99fd4
|
[
"Apache-2.0"
] | 7
|
2022-03-24T11:04:08.000Z
|
2022-03-31T17:12:46.000Z
|
serif/theory/alternate_pos.py
|
BBN-E/ZS4IE
|
357965f3068cfe5098422d8cb0ca4b0f99c99fd4
|
[
"Apache-2.0"
] | null | null | null |
serif/theory/alternate_pos.py
|
BBN-E/ZS4IE
|
357965f3068cfe5098422d8cb0ca4b0f99c99fd4
|
[
"Apache-2.0"
] | null | null | null |
from serif.theory.serif_theory import SerifTheory
from serif.xmlio import _SimpleAttribute
class AlternatePOS(SerifTheory):
tag = _SimpleAttribute(is_required=True)
prob = _SimpleAttribute(float)
| 25.75
| 49
| 0.81068
| 23
| 206
| 7.043478
| 0.652174
| 0.111111
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.126214
| 206
| 7
| 50
| 29.428571
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.4
| 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
|
318f94eff68650f69b0ce90ebb1c9a529c77ab67
| 21,240
|
py
|
Python
|
rllab/envs/mujoco/maze/maze_env_utils.py
|
andrewli77/HAAR-A-Hierarchical-RL-Algorithm
|
e652da781a03435c904d967211be935f437fb64a
|
[
"MIT"
] | 19
|
2019-10-07T15:19:29.000Z
|
2022-01-26T21:26:46.000Z
|
rllab/envs/mujoco/maze/maze_env_utils.py
|
WeiChengTseng/HAAR-A-Hierarchical-RL-Algorithm
|
f468118e231938606593202898551035a8e60166
|
[
"MIT"
] | 1
|
2020-11-18T12:39:35.000Z
|
2020-11-19T05:44:56.000Z
|
rllab/envs/mujoco/maze/maze_env_utils.py
|
WeiChengTseng/HAAR-A-Hierarchical-RL-Algorithm
|
f468118e231938606593202898551035a8e60166
|
[
"MIT"
] | 5
|
2020-05-04T15:21:54.000Z
|
2021-06-01T18:40:26.000Z
|
from rllab.misc import logger
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
import os.path as osp
import numpy as np
import math
import random
def line_intersect(pt1, pt2, ptA, ptB):
"""
Taken from https://www.cs.hmc.edu/ACM/lectures/intersections.html
this returns the intersection of Line(pt1,pt2) and Line(ptA,ptB)
returns a tuple: (xi, yi, valid, r, s), where
(xi, yi) is the intersection
r is the scalar multiple such that (xi,yi) = pt1 + r*(pt2-pt1)
s is the scalar multiple such that (xi,yi) = pt1 + s*(ptB-ptA)
valid == 0 if there are 0 or inf. intersections (invalid)
valid == 1 if it has a unique intersection ON the segment
"""
DET_TOLERANCE = 0.00000001
# the first line is pt1 + r*(pt2-pt1)
# in component form:
x1, y1 = pt1
x2, y2 = pt2
dx1 = x2 - x1
dy1 = y2 - y1
# the second line is ptA + s*(ptB-ptA)
x, y = ptA
xB, yB = ptB
dx = xB - x
dy = yB - y
# we need to find the (typically unique) values of r and s
# that will satisfy
#
# (x1, y1) + r(dx1, dy1) = (x, y) + s(dx, dy)
#
# which is the same as
#
# [ dx1 -dx ][ r ] = [ x-x1 ]
# [ dy1 -dy ][ s ] = [ y-y1 ]
#
# whose solution is
#
# [ r ] = _1_ [ -dy dx ] [ x-x1 ]
# [ s ] = DET [ -dy1 dx1 ] [ y-y1 ]
#
# where DET = (-dx1 * dy + dy1 * dx)
#
# if DET is too small, they're parallel
#
DET = (-dx1 * dy + dy1 * dx)
if math.fabs(DET) < DET_TOLERANCE: return (0, 0, 0, 0, 0)
# now, the determinant should be OK
DETinv = 1.0 / DET
# find the scalar amount along the "self" segment
r = DETinv * (-dy * (x - x1) + dx * (y - y1))
# find the scalar amount along the input line
s = DETinv * (-dy1 * (x - x1) + dx1 * (y - y1))
# return the average of the two descriptions
xi = (x1 + r * dx1 + x + s * dx) / 2.0
yi = (y1 + r * dy1 + y + s * dy) / 2.0
return (xi, yi, 1, r, s)
def ray_segment_intersect(ray, segment):
"""
Check if the ray originated from (x, y) with direction theta intersects the line segment (x1, y1) -- (x2, y2),
and return the intersection point if there is one
"""
(x, y), theta = ray
# (x1, y1), (x2, y2) = segment
pt1 = (x, y)
len = 1
pt2 = (x + len * math.cos(theta), y + len * math.sin(theta))
xo, yo, valid, r, s = line_intersect(pt1, pt2, *segment)
if valid and r >= 0 and 0 <= s <= 1:
return (xo, yo)
return None
def point_distance(p1, p2):
x1, y1 = p1
x2, y2 = p2
return ((x1 - x2) ** 2 + (y1 - y2) ** 2) ** 0.5
def construct_maze(maze_id=0, length=1):
# define the maze to use
if maze_id == 0:
if length != 1:
raise NotImplementedError("Maze_id 0 only has length 1!")
structure = [
[1, 1, 1, 1, 1],
[1, 0, 0, 0, 1],
[1, 1, 1, 0, 1],
[1, 'r', 0, 'g', 1],
[1, 1, 1, 1, 1],
]
# structure = [
# [0, 0, 0, 0, 0],
# [0, 'r', 0, 0, 0],
# [0, 0, 0, 0, 0],
# [0, 0, 0, 'g', 0],
# [0, 0, 0, 0, 0],
# ]
# structure = [
# [1, 1, 1, 1, 1, 1, 1],
# [1, 0, 0, 0, 0, 'g', 1],
# [1, 0, 0, 0, 0, 0, 1],
# [1, 'r', 0, 0, 0, 0, 1],
# [1, 1, 1, 1, 1, 1, 1],
# ]
elif maze_id == 1: # donuts maze: can reach the single goal by 2 equal paths
c = length + 4
M = np.ones((c, c))
M[1:c - 1, (1, c - 2)] = 0
M[(1, c - 2), 1:c - 1] = 0
M = M.astype(int).tolist()
M[1][c // 2] = 'r'
M[c - 2][c // 2] = 'g'
structure = M
elif maze_id == 2: # spiral maze: need to use all the keys (only makes sense for length >=3)
c = length + 4
M = np.ones((c, c))
M[1:c - 1, (1, c - 2)] = 0
M[(1, c - 2), 1:c - 1] = 0
M = M.astype(int).tolist()
M[1][c // 2] = 'r'
# now block one of the ways and put the goal on the other side
M[1][c // 2 - 1] = 1
M[1][c // 2 - 2] = 'g'
structure = M
elif maze_id == 3: # corridor with goals at the 2 extremes
structure = [
[1] * (2 * length + 5),
[1, 'g'] + [0] * length + ['r'] + [0] * length + ['g', 1],
[1] * (2 * length + 5),
]
elif 4 <= maze_id <= 7: # cross corridor, goal in
c = 2 * length + 5
M = np.ones((c, c))
M = M - np.diag(np.ones(c))
M = M - np.diag(np.ones(c - 1), 1) - np.diag(np.ones(c - 1), -1)
i = np.arange(c)
j = i[::-1]
M[i, j] = 0
M[i[:-1], j[1:]] = 0
M[i[1:], j[:-1]] = 0
M[np.array([0, c - 1]), :] = 1
M[:, np.array([0, c - 1])] = 1
M = M.astype(int).tolist()
M[c // 2][c // 2] = 'r'
if maze_id == 4:
M[1][1] = 'g'
if maze_id == 5:
M[1][c - 2] = 'g'
if maze_id == 6:
M[c - 2][1] = 'g'
if maze_id == 7:
M[c - 2][c - 2] = 'g'
structure = M
elif maze_id == 8: # reflexion of benchmark maze
structure = [
[1, 1, 1, 1, 1],
[1, 'g', 0, 0, 1],
[1, 1, 1, 0, 1],
[1, 'r', 0, 0, 1],
[1, 1, 1, 1, 1],
]
elif maze_id == 9: # sym benchmark maze
structure = [
[1, 1, 1, 1, 1],
[1, 0, 0, 'r', 1],
[1, 0, 1, 1, 1],
[1, 0, 0, 'g', 1],
[1, 1, 1, 1, 1],
]
elif maze_id == 10: # reflexion of sym of benchmark maze
structure = [
[1, 1, 1, 1, 1],
[1, 0, 0, 'g', 1],
[1, 0, 1, 1, 1],
[1, 0, 0, 'r', 1],
[1, 1, 1, 1, 1],
]
elif maze_id == 11: # four room
structure = [
[1, 1, 1, 1, 1, 1, 1, 1, 1],
[1, 0, 0, 0, 1, 0, 0, 0, 1],
[1, 0, 0, 0, 0, 0, 0, 0, 1],
[1,'r',0,'g',1, 0, 0, 0, 1],
[1, 1, 0, 1, 1, 0, 0, 0, 1],
[1, 0, 0, 0, 1, 1, 0, 1, 1],
[1, 0, 0, 0, 1, 0, 0, 0, 1],
[1, 0, 0, 0, 0, 0, 0, 0, 1],
[1, 0, 0, 0, 1, 0, 0, 0, 1],
[1, 1, 1, 1, 1, 1, 1, 1, 1],
]
if structure:
return structure
else:
raise NotImplementedError("The provided MazeId is not recognized")
def construct_maze_random(maze_id=0, length=1): # random start, only correct for maze_id == 8 for now!
x_relative = y_relative = 0 # for random start position
# define the maze to use
if maze_id == 0:
if length != 1:
raise NotImplementedError("Maze_id 0 only has length 1!")
structure = [
[1, 1, 1, 1, 1],
[1, 0, 0, 0, 1],
[1, 1, 1, 0, 1],
[1, 'r', 0, 'g', 1],
[1, 1, 1, 1, 1],
]
elif maze_id == 1: # donuts maze: can reach the single goal by 2 equal paths
c = length + 4
M = np.ones((c, c))
M[1:c - 1, (1, c - 2)] = 0
M[(1, c - 2), 1:c - 1] = 0
M = M.astype(int).tolist()
M[1][c // 2] = 'r'
M[c - 2][c // 2] = 'g'
structure = M
elif maze_id == 2: # spiral maze: need to use all the keys (only makes sense for length >=3)
c = length + 4
M = np.ones((c, c))
M[1:c - 1, (1, c - 2)] = 0
M[(1, c - 2), 1:c - 1] = 0
M = M.astype(int).tolist()
M[1][c // 2] = 'r'
# now block one of the ways and put the goal on the other side
M[1][c // 2 - 1] = 1
M[1][c // 2 - 2] = 'g'
structure = M
elif maze_id == 3: # corridor with goals at the 2 extremes
structure = [
[1] * (2 * length + 5),
[1, 'g'] + [0] * length + ['r'] + [0] * length + ['g', 1],
[1] * (2 * length + 5),
]
elif 4 <= maze_id <= 7: # cross corridor, goal in
c = 2 * length + 5
M = np.ones((c, c))
M = M - np.diag(np.ones(c))
M = M - np.diag(np.ones(c - 1), 1) - np.diag(np.ones(c - 1), -1)
i = np.arange(c)
j = i[::-1]
M[i, j] = 0
M[i[:-1], j[1:]] = 0
M[i[1:], j[:-1]] = 0
M[np.array([0, c - 1]), :] = 1
M[:, np.array([0, c - 1])] = 1
M = M.astype(int).tolist()
M[c // 2][c // 2] = 'r'
if maze_id == 4:
M[1][1] = 'g'
if maze_id == 5:
M[1][c - 2] = 'g'
if maze_id == 6:
M[c - 2][1] = 'g'
if maze_id == 7:
M[c - 2][c - 2] = 'g'
structure = M
elif maze_id == 8: # benchmark maze
# not used random seed here. Not necessary?
# random.seed(1)
pool = [(1, 2), (1, 3), (2, 3), (3, 3), (3, 2), (3, 1)]
random_i = np.random.choice(len(pool), p=[0.07, 0.08, 0.11, 0.14, 0.2, 0.4])
x_r, y_r = pool[random_i]
# (3, 1) was the initial choice!
structure = [
[1, 1, 1, 1, 1],
[1, 'g', 0, 0, 1],
[1, 1, 1, 0, 1],
[1, 0, 0, 0, 1],
[1, 1, 1, 1, 1],
]
x_r, y_r = 3, 1 # fix start, only for the maze
x_g, y_g = 1, 1 # useless for this env
structure[x_r][y_r] = 'r'
x_relative = x_r - 3 # the x index relative to (0, 0)
y_relative = y_r - 1
pool = [(1, 2), (1, 3), (2, 3), (3, 3), (3, 2), (3, 1)] # random pool
p = [0.07, 0.08, 0.11, 0.14, 0.2, 0.4] # choice probability from pool
elif maze_id == 9: # mirrored maze, for transfer
structure = [
[1, 1, 1, 1, 1],
[1, 0, 0, 'g', 1],
[1, 0, 1, 1, 1],
[1, 0, 0, 0, 1],
[1, 1, 1, 1, 1],
]
x_r, y_r = 3, 1 # fix start, only for the maze
x_g, y_g = 1, 3 # useless for this env
structure[x_r][y_r] = 'r'
# print("x_r, y_r", x_r, y_r)
x_relative = x_r - 3 # the x index relative to (0, 0)
y_relative = y_r - 1
pool = [(1, 2), (1, 1), (2, 1), (3, 1), (3, 2), (3, 3)]
p = [0.07, 0.08, 0.11, 0.14, 0.2, 0.4] # hand-crafted possibility, higher possibility for farther starting pt
elif maze_id == 11:
structure = [
[1, 1, 1, 1, 1, 1, 1, 1, 1],
[1, 0, 0, 0, 1, 0, 0, 0, 1],
[1, 0, 0, 0, 0, 0, 0, 0, 1],
[1,'r',0,'g',1, 0, 0, 0, 1],
[1, 1, 0, 1, 1, 0, 0, 0, 1],
[1, 0, 0, 0, 1, 1, 0, 1, 1],
[1, 0, 0, 0, 1, 0, 0, 0, 1],
[1, 0, 0, 0, 0, 0, 0, 0, 1],
[1, 0, 0, 0, 1, 0, 0, 0, 1],
[1, 1, 1, 1, 1, 1, 1, 1, 1],
]
x_r, y_r = 3, 1
x_g, y_g = 3, 3 # this is hard-coded in maze_env.py!
x_relative = 0 # x_r, y_r relative to a fixed point
y_relative = 0
pool = [(1, 1), (1, 2), (1, 3), (1, 5), (1, 6), (1, 7),
(2, 1), (2, 2), (2, 3), (2, 4), (2, 5), (2, 6), (2, 7),
(3, 1), (3, 2), (3, 3), (3, 5), (3, 6), (3, 7),
(4, 2), (4, 5), (4, 6), (4, 7),
(5, 1), (5, 2), (5, 3), (5, 6),
(6, 1), (6, 2), (6, 3), (6, 5), (6, 6), (6, 7),
(7, 1), (7, 2), (7, 3), (7, 4), (7, 5), (7, 6), (7, 7),
(8, 1), (8, 2), (8, 3), (8, 5), (8, 6), (8, 7),
] # random pool for r or g
p = [0.02174] * 45 + [0.0217] # choice probability from pool
elif maze_id == 12: # a maze that deviates from the original maze a little (to test its transferability)
structure = [ # a spiral matrix
[1, 1, 1, 1, 1],
[1, 0, 0, 0, 1],
[1, 'g', 1, 0, 1],
[1, 1, 1, 0, 1],
[1, 0, 0, 0, 1],
[1, 1, 1, 1, 1]
]
x_r, y_r = 4, 1
# x_g, y_g = 2, 1 # these are hard-coded in maze_env.py! need to modify!!!
structure[x_r][y_r] = 'r'
x_relative = 1 # x_r, y_r relative to (3, 1)
y_relative = 0
pool = [(1, 1), (1, 2), (1, 3), (2, 3), (3, 3), (4, 3), (4, 2), (4, 1)] # random pool for r or g
p = [0.028, 0.056, 0.083, 0.11, 0.139, 0.17, 0.194, 0.22]
elif maze_id == 14: # a maze that deviates from the original maze a little (to test its transferability)
structure = [ # a mirrored spiral matrix
[1, 1, 1, 1, 1],
[1, 0, 0, 0, 1],
[1, 0, 1, 'g', 1],
[1, 0, 1, 1, 1],
[1, 0, 0, 0, 1],
[1, 1, 1, 1, 1]
]
x_r, y_r = 4, 3
structure[x_r][y_r] = 'r'
x_relative = 1 # x_r, y_r relative to (3, 1)
y_relative = 2
pool = [(1, 3), (1, 2), (1, 1), (2, 1), (3, 1), (4, 1), (4, 2), (4, 3)] # random pool for r or g
p = [0.028, 0.056, 0.083, 0.11, 0.139, 0.17, 0.194, 0.22]
elif maze_id == 13: # a maze that is elongated
structure = [
[1, 1, 1, 1, 1, 1, 1],
[1, 'g', 0, 0, 0, 0, 1],
[1, 1, 1, 1, 1, 0, 1],
[1, 1, 1, 1, 1, 0, 1],
[1, 1, 1, 1, 1, 0, 1],
[1, 0, 0, 0, 0, 0, 1],
[1, 1, 1, 1, 1, 1, 1]
]
x_r, y_r = 5, 1
structure[x_r][y_r] = 'r'
x_relative = 2 # x_r, y_r relative to a fixed point (3, 1)
y_relative = 0
pool = [(1, 2), (1, 3), (1, 4), (1, 5), (2, 5), (3, 5), (4, 5), (5, 5), (5, 4), (5, 3), (5, 2), (5, 1)] # random pool for r or g
p = [0.013, 0.026, 0.028, 0.051, 0.064, 0.077, 0.090, 0.103, 0.115, 0.128, 0.141, 0.164]
elif maze_id == 10: # reflexion of sym of benchmark maze
structure = [
[1, 1, 1, 1, 1],
[1, 0, 0, 'g', 1],
[1, 0, 1, 1, 1],
[1, 0, 0, 'r', 1],
[1, 1, 1, 1, 1],
]
if structure:
return pool, p, structure, x_relative, y_relative
else:
raise NotImplementedError("The provided MazeId is not recognized")
def plot_ray(self, reading, ray_idx, color='r'):
structure = self.MAZE_STRUCTURE
size_scaling = self.MAZE_SIZE_SCALING
# duplicate cells to plot the maze
structure_plot = np.zeros(((len(structure) - 1) * 2, (len(structure[0]) - 1) * 2))
for i in range(len(structure)):
for j in range(len(structure[0])):
cell = structure[i][j]
if type(cell) is not int:
cell = 0.3 if cell == 'r' else 0.7
if i == 0:
if j == 0:
structure_plot[i, j] = cell
elif j == len(structure[0]) - 1:
structure_plot[i, 2 * j - 1] = cell
else:
structure_plot[i, 2 * j - 1:2 * j + 1] = cell
elif i == len(structure) - 1:
if j == 0:
structure_plot[2 * i - 1, j] = cell
elif j == len(structure[0]) - 1:
structure_plot[2 * i - 1, 2 * j - 1] = cell
else:
structure_plot[2 * i - 1, 2 * j - 1:2 * j + 1] = cell
else:
if j == 0:
structure_plot[2 * i - 1:2 * i + 1, j] = cell
elif j == len(structure[0]) - 1:
structure_plot[2 * i - 1:2 * i + 1, 2 * j - 1] = cell
else:
structure_plot[2 * i - 1:2 * i + 1, 2 * j - 1:2 * j + 1] = cell
fig, ax = plt.subplots()
im = ax.pcolor(-np.array(structure_plot), cmap='gray', edgecolor='black', linestyle=':', lw=1)
x_labels = list(range(len(structure[0])))
y_labels = list(range(len(structure)))
ax.grid(True) # elimiate this to avoid inner lines
ax.xaxis.set(ticks=2 * np.arange(len(x_labels)), ticklabels=x_labels)
ax.yaxis.set(ticks=2 * np.arange(len(y_labels)), ticklabels=y_labels)
robot_xy = np.array(self.wrapped_env.get_body_com("torso")[:2]) # the coordinates of this are wrt the init!!
ori = self.get_ori() # for Ant this is computed with atan2, which gives [-pi, pi]
# compute origin cell i_o, j_o coordinates and center of it x_o, y_o (with 0,0 in the top-right corner of struc)
o_xy = np.array(self._find_robot()) # this is self.init_torso_x, self.init_torso_y !!: center of the cell xy!
o_ij = (o_xy / size_scaling).astype(int) # this is the position in the grid (check if correct..)
o_xy_plot = o_xy / size_scaling * 2
robot_xy_plot = o_xy_plot + robot_xy / size_scaling * 2
plt.scatter(*robot_xy_plot)
# for ray_idx in range(self._n_bins):
length_wall = self._sensor_range - reading * self._sensor_range if reading else 1e-6
ray_ori = ori - self._sensor_span * 0.5 + ray_idx / (self._n_bins - 1) * self._sensor_span
if ray_ori > math.pi:
ray_ori -= 2 * math.pi
elif ray_ori < - math.pi:
ray_ori += 2 * math.pi
# find the end point wall
end_xy = (robot_xy + length_wall * np.array([math.cos(ray_ori), math.sin(ray_ori)]))
end_xy_plot = (o_ij + end_xy / size_scaling) * 2
plt.plot([robot_xy_plot[0], end_xy_plot[0]], [robot_xy_plot[1], end_xy_plot[1]], color)
ax.set_title('sensors debug')
print('plotting now, close the window')
# plt.show(fig)
# plt.close()
def plot_state(self, name='sensors', state=None):
if state:
self.wrapped_env.reset(state)
structure = self.__class__.MAZE_STRUCTURE
size_scaling = self.__class__.MAZE_SIZE_SCALING
# duplicate cells to plot the maze
structure_plot = np.zeros(((len(structure) - 1) * 2, (len(structure[0]) - 1) * 2))
for i in range(len(structure)):
for j in range(len(structure[0])):
cell = structure[i][j]
if type(cell) is not int:
cell = 0.3 if cell == 'r' else 0.7
if i == 0:
if j == 0:
structure_plot[i, j] = cell
elif j == len(structure[0]) - 1:
structure_plot[i, 2 * j - 1] = cell
else:
structure_plot[i, 2 * j - 1:2 * j + 1] = cell
elif i == len(structure) - 1:
if j == 0:
structure_plot[2 * i - 1, j] = cell
elif j == len(structure[0]) - 1:
structure_plot[2 * i - 1, 2 * j - 1] = cell
else:
structure_plot[2 * i - 1, 2 * j - 1:2 * j + 1] = cell
else:
if j == 0:
structure_plot[2 * i - 1:2 * i + 1, j] = cell
elif j == len(structure[0]) - 1:
structure_plot[2 * i - 1:2 * i + 1, 2 * j - 1] = cell
else:
structure_plot[2 * i - 1:2 * i + 1, 2 * j - 1:2 * j + 1] = cell
fig, ax = plt.subplots()
im = ax.pcolor(-np.array(structure_plot), cmap='gray', edgecolor='black', linestyle=':', lw=1)
x_labels = list(range(len(structure[0])))
y_labels = list(range(len(structure)))
ax.grid(True) # elimiate this to avoid inner lines
ax.xaxis.set(ticks=2 * np.arange(len(x_labels)), ticklabels=x_labels)
ax.yaxis.set(ticks=2 * np.arange(len(y_labels)), ticklabels=y_labels)
obs = self.get_current_maze_obs()
robot_xy = np.array(self.wrapped_env.get_body_com("torso")[:2]) # the coordinates of this are wrt the init
ori = self.get_ori() # for Ant this is computed with atan2, which gives [-pi, pi]
# compute origin cell i_o, j_o coordinates and center of it x_o, y_o (with 0,0 in the top-right corner of struc)
o_xy = np.array(self._find_robot()) # this is self.init_torso_x, self.init_torso_y: center of the cell xy!
o_ij = (o_xy / size_scaling).astype(int) # this is the position in the grid
o_xy_plot = o_xy / size_scaling * 2
robot_xy_plot = o_xy_plot + robot_xy / size_scaling * 2
plt.scatter(*robot_xy_plot)
for ray_idx in range(self._n_bins):
length_wall = self._sensor_range - obs[ray_idx] * self._sensor_range if obs[ray_idx] else 1e-6
ray_ori = ori - self._sensor_span * 0.5 + ray_idx / (self._n_bins - 1) * self._sensor_span
if ray_ori > math.pi:
ray_ori -= 2 * math.pi
elif ray_ori < - math.pi:
ray_ori += 2 * math.pi
# find the end point wall
end_xy = (robot_xy + length_wall * np.array([math.cos(ray_ori), math.sin(ray_ori)]))
end_xy_plot = (o_ij + end_xy / size_scaling) * 2
plt.plot([robot_xy_plot[0], end_xy_plot[0]], [robot_xy_plot[1], end_xy_plot[1]], 'r')
length_goal = self._sensor_range - obs[ray_idx + self._n_bins] * self._sensor_range if obs[
ray_idx + self._n_bins] else 1e-6
ray_ori = ori - self._sensor_span * 0.5 + ray_idx / (self._n_bins - 1) * self._sensor_span
# find the end point goal
end_xy = (robot_xy + length_goal * np.array([math.cos(ray_ori), math.sin(ray_ori)]))
end_xy_plot = (o_ij + end_xy / size_scaling) * 2
plt.plot([robot_xy_plot[0], end_xy_plot[0]], [robot_xy_plot[1], end_xy_plot[1]], 'g')
log_dir = logger.get_snapshot_dir()
ax.set_title('sensors: ' + name)
plt.savefig(osp.join(log_dir, name + '_sesors.png')) # this saves the current figure, here f
plt.close()
| 36.494845
| 137
| 0.460734
| 3,544
| 21,240
| 2.661117
| 0.102709
| 0.05747
| 0.055349
| 0.053865
| 0.750928
| 0.737674
| 0.719118
| 0.699502
| 0.69314
| 0.666949
| 0
| 0.1044
| 0.368644
| 21,240
| 581
| 138
| 36.557659
| 0.598881
| 0.202072
| 0
| 0.728929
| 0
| 0
| 0.01717
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.015945
| false
| 0
| 0.015945
| 0
| 0.045558
| 0.002278
| 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
|
31a21cf806781c03b1fd741f310934e24a3d7c37
| 154
|
py
|
Python
|
core/tempCodeRunnerFile.py
|
chart21/Verification-of-Outsourced-Object-Detection
|
ed1c27e5de6e6c98098969262aa8bd41da140c8b
|
[
"MIT"
] | null | null | null |
core/tempCodeRunnerFile.py
|
chart21/Verification-of-Outsourced-Object-Detection
|
ed1c27e5de6e6c98098969262aa8bd41da140c8b
|
[
"MIT"
] | null | null | null |
core/tempCodeRunnerFile.py
|
chart21/Verification-of-Outsourced-Object-Detection
|
ed1c27e5de6e6c98098969262aa8bd41da140c8b
|
[
"MIT"
] | null | null | null |
Object found: {}, Confidence: {:.2f}, BBox Coords (xmin, ymin, xmax, ymax): {}, {}, {}, {} ;".format(class_name, score, coor[0], coor[1], coor[2], coor[3]
| 154
| 154
| 0.584416
| 22
| 154
| 4.045455
| 0.863636
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.037313
| 0.12987
| 154
| 1
| 154
| 154
| 0.626866
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
31b0b0ed3ce3b9701aafedbb978e33a03be213bc
| 77
|
py
|
Python
|
Codefights/arcade/python-arcade/level-9/55.Twins-Score/Python/solution1.py
|
RevansChen/online-judge
|
ad1b07fee7bd3c49418becccda904e17505f3018
|
[
"MIT"
] | 7
|
2017-09-20T16:40:39.000Z
|
2021-08-31T18:15:08.000Z
|
Codefights/arcade/python-arcade/level-9/55.Twins-Score/Python/solution1.py
|
RevansChen/online-judge
|
ad1b07fee7bd3c49418becccda904e17505f3018
|
[
"MIT"
] | null | null | null |
Codefights/arcade/python-arcade/level-9/55.Twins-Score/Python/solution1.py
|
RevansChen/online-judge
|
ad1b07fee7bd3c49418becccda904e17505f3018
|
[
"MIT"
] | null | null | null |
# Python3
# 有限制修改區域
def twinsScore(b, m):
return [*map(sum, zip(b, m))]
| 12.833333
| 33
| 0.597403
| 12
| 77
| 3.833333
| 0.833333
| 0.086957
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.016393
| 0.207792
| 77
| 5
| 34
| 15.4
| 0.737705
| 0.194805
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0
| 0
| 0.5
| 1
| 0
| 1
| 0
| 0
| null | 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
|
31d607c74ea216640e772177dc61923a8d4718e6
| 83
|
py
|
Python
|
boot/wifi.py
|
swissbyte/symlite
|
e46e4d95986da5716e153a22c59b229004ac2a70
|
[
"MIT"
] | null | null | null |
boot/wifi.py
|
swissbyte/symlite
|
e46e4d95986da5716e153a22c59b229004ac2a70
|
[
"MIT"
] | null | null | null |
boot/wifi.py
|
swissbyte/symlite
|
e46e4d95986da5716e153a22c59b229004ac2a70
|
[
"MIT"
] | null | null | null |
import os
if "wlan0" in os.listdir('/sys/class/net/'):
print("WLAN0 exists!")
| 16.6
| 44
| 0.638554
| 13
| 83
| 4.076923
| 0.846154
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.028571
| 0.156627
| 83
| 4
| 45
| 20.75
| 0.728571
| 0
| 0
| 0
| 0
| 0
| 0.39759
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 0.333333
| 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
|
9ec7325170a19bd49f3443e396c495bc772c76b9
| 14,657
|
py
|
Python
|
knc/features.py
|
rmorgan10/KNC-Live
|
5a3f97b0b791c84433c118c087acbb68a9e473e6
|
[
"BSD-3-Clause"
] | null | null | null |
knc/features.py
|
rmorgan10/KNC-Live
|
5a3f97b0b791c84433c118c087acbb68a9e473e6
|
[
"BSD-3-Clause"
] | null | null | null |
knc/features.py
|
rmorgan10/KNC-Live
|
5a3f97b0b791c84433c118c087acbb68a9e473e6
|
[
"BSD-3-Clause"
] | 1
|
2021-05-08T03:10:13.000Z
|
2021-05-08T03:10:13.000Z
|
"""
KN-Classify hand-engineered lightcurve features
"""
import numpy as np
import pandas as pd
class FeatureExtractor():
"""
Class to contain all feature extraction methods
"""
def __init__(self):
# Establish feature families
self.features = [x for x in dir(self) if x[0:1] != '_']
self.families = ['nobs_brighter_than',
'slope',
'same_nite_color_diff',
'total_color_diff',
'snr',
'flat',
'half',
'mag']
self.feat_families = {fam: [x for x in self.features
if x.find(fam) != -1]
for fam in self.families}
self.single_features = [x for x in self.features
if x.find('color') == -1]
self.double_features = [x for x in self.features
if x.find('color') != -1]
return
# Family 1: Nobs bright than
def __family1(self, lc, flt, threshold):
mag_arr = self.__get_mags(lc, flt)
if len(mag_arr) > 0:
return sum((mag_arr < threshold))
else:
return 'N'
@staticmethod
def __get_mags(lc, flt):
if flt is None:
return lc['MAG'].values.astype(float)
else:
return lc['MAG'].values[lc['FLT'].values == flt].astype(float)
def nobs_brighter_than_17(self, lc, flt1, flt2=None):
return self.__family1(lc, flt1, 17.0)
def nobs_brighter_than_18(self, lc, flt1, flt2=None):
return self.__family1(lc, flt1, 18.0)
def nobs_brighter_than_19(self, lc, flt1, flt2=None):
return self.__family1(lc, flt1, 19.0)
def nobs_brighter_than_20(self, lc, flt1, flt2=None):
return self.__family1(lc, flt1, 20.0)
def nobs_brighter_than_21(self, lc, flt1, flt2=None):
return self.__family1(lc, flt1, 21.0)
def nobs_brighter_than_215(self, lc, flt1, flt2=None):
return self.__family1(lc, flt1, 21.5)
def nobs_brighter_than_22(self, lc, flt1, flt2=None):
return self.__family1(lc, flt1, 22.0)
def nobs_brighter_than_225(self, lc, flt1, flt2=None):
return self.__family1(lc, flt1, 22.5)
def nobs_brighter_than_23(self, lc, flt1, flt2=None):
return self.__family1(lc, flt1, 23.0)
def nobs_brighter_than_17_any_flt(self, lc, flt1, flt2=None):
return self.__family1(lc, None, 17.0)
def nobs_brighter_than_18_any_flt(self, lc, flt1, flt2=None):
return self.__family1(lc, None, 18.0)
def nobs_brighter_than_19_any_flt(self, lc, flt1, flt2=None):
return self.__family1(lc, None, 19.0)
def nobs_brighter_than_20_any_flt(self, lc, flt1, flt2=None):
return self.__family1(lc, None, 20.0)
def nobs_brighter_than_21_any_flt(self, lc, flt1, flt2=None):
return self.__family1(lc, None, 20.0)
def nobs_brighter_than_215_any_flt(self, lc, flt1, flt2=None):
return self.__family1(lc, None, 20.0)
def nobs_brighter_than_22_any_flt(self, lc, flt1, flt2=None):
return self.__family1(lc, None, 20.0)
def nobs_brighter_than_225_any_flt(self, lc, flt1, flt2=None):
return self.__family1(lc, None, 20.0)
def nobs_brighter_than_23_any_flt(self, lc, flt1, flt2=None):
return self.__family1(lc, None, 20.0)
# Family 2: Slope
@staticmethod
def __get_mjds(lc, flt):
if flt is None:
mjds = lc['MJD'].values.astype(float)
else:
mjds = lc['MJD'].values[lc['FLT'].values == flt].astype(float)
if len(mjds) != 0:
return mjds - mjds.min()
else:
return mjds
@staticmethod
def __combine_nites(mags, mjds):
nites = mjds.round().astype(int)
data = {}
out_mjds, out_mags = [], []
for idx, nite in enumerate(nites):
if not nite in data:
data[nite] = None
out_mjds.append(mjds[idx])
out_mags.append(mags[idx])
return np.array(out_mjds), np.array(out_mags)
def slope_average(self, lc, flt1, flt2=None):
mags = self.__get_mags(lc, flt1)
mjds = self.__get_mjds(lc, flt1)
mjds, mags = self.__combine_nites(mags, mjds)
if len(mags) > 1:
if mjds[-1] != mjds[0]:
return (mags[-1] - mags[0]) / (mjds[-1] - mjds[0])
else:
return 'N'
else:
return 'N'
def slope_max(self, lc, flt1, flt2=None):
mags = self.__get_mags(lc, flt1)
mjds = self.__get_mjds(lc, flt1)
mjds, mags = self.__combine_nites(mags, mjds)
if len(mags) > 1:
return np.max(np.diff(mags) / np.diff(mjds))
else:
return 'N'
def slope_min(self, lc, flt1, flt2=None):
mags = self.__get_mags(lc, flt1)
mjds = self.__get_mjds(lc, flt1)
mjds, mags = self.__combine_nites(mags, mjds)
if len(mags) > 1:
return np.min(np.diff(mags) / np.diff(mjds))
else:
return 'N'
def slope_mjd_of_max(self, lc, flt1, flt2=None):
mags = self.__get_mags(lc, flt1)
mjds = self.__get_mjds(lc, flt1)
mjds, mags = self.__combine_nites(mags, mjds)
if len(mags) > 1:
return mjds[np.argmax(np.diff(mags) / np.diff(mjds))]
else:
return 'N'
def slope_mjd_of_min(self, lc, flt1, flt2=None):
mags = self.__get_mags(lc, flt1)
mjds = self.__get_mjds(lc, flt1)
mjds, mags = self.__combine_nites(mags, mjds)
if len(mags) > 1:
return mjds[np.argmin(np.diff(mags) / np.diff(mjds))]
else:
return 'N'
# Family 3: Same night color difference
def __get_nite_color(self, lc, flt1, flt2):
lc['NITE'] = lc['MJD'].values.astype(float).round().astype(int)
nites = lc.groupby('NITE')
colors = []
for (nite, df) in nites:
mags_1 = self.__get_mags(df, flt1)
mags_2 = self.__get_mags(df, flt2)
if len(mags_1) == 0 or len(mags_2) == 0:
continue
colors.append(mags_1.mean() - mags_2.mean())
return colors
def same_nite_color_diff_max(self, lc, flt1, flt2):
colors = self.__get_nite_color(lc, flt1, flt2)
if len(colors) == 0:
return 'N'
else:
return max(colors)
def same_nite_color_diff_min(self, lc, flt1, flt2):
colors = self.__get_nite_color(lc, flt1, flt2)
if len(colors) == 0:
return 'N'
else:
return min(colors)
def same_nite_color_diff_average(self, lc, flt1, flt2):
colors = self.__get_nite_color(lc, flt1, flt2)
if len(colors) == 0:
return 'N'
else:
return np.mean(colors)
# Family 4: Total color differences
def total_color_diff_max_max(self, lc, flt1, flt2):
mags_1 = self.__get_mags(lc, flt1)
mags_2 = self.__get_mags(lc, flt2)
if len(mags_1) == 0 or len(mags_2) == 0:
return 'N'
else:
return mags_1.max() - mags_2.max()
def total_color_diff_max_min(self, lc, flt1, flt2):
mags_1 = self.__get_mags(lc, flt1)
mags_2 = self.__get_mags(lc, flt2)
if len(mags_1) == 0 or len(mags_2) == 0:
return 'N'
else:
return mags_1.max() - mags_2.min()
def total_color_diff_min_max(self, lc, flt1, flt2):
mags_1 = self.__get_mags(lc, flt1)
mags_2 = self.__get_mags(lc, flt2)
if len(mags_1) == 0 or len(mags_2) == 0:
return 'N'
else:
return mags_1.min() - mags_2.max()
def total_color_diff_min_min(self, lc, flt1, flt2):
mags_1 = self.__get_mags(lc, flt1)
mags_2 = self.__get_mags(lc, flt2)
if len(mags_1) == 0 or len(mags_2) == 0:
return 'N'
else:
return mags_1.min() - mags_2.min()
def total_color_diff_mean_mean(self, lc, flt1, flt2):
mags_1 = self.__get_mags(lc, flt1)
mags_2 = self.__get_mags(lc, flt2)
if len(mags_1) == 0 or len(mags_2) == 0:
return 'N'
else:
return mags_1.mean() - mags_2.mean()
# Family 5: SNR
@staticmethod
def __get_flux_and_fluxerr(lc, flt):
return (lc['FLUXCAL'].values[lc['FLT'].values == flt].astype(float),
lc['FLUXCALERR'].values[lc['FLT'].values == flt].astype(float))
def snr_max(self, lc, flt1, flt2=None):
if not ('FLUXCAL' in lc.columns and 'FLUXCALERR' in lc.columns):
return 'N'
flux, fluxerr = self.__get_flux_and_fluxerr(lc, flt1)
if len(flux) == 0:
return 'N'
else:
return (flux / fluxerr).max()
def snr_mean(self, lc, flt1, flt2=None):
if not ('FLUXCAL' in lc.columns and 'FLUXCALERR' in lc.columns):
return 'N'
flux, fluxerr = self.__get_flux_and_fluxerr(lc, flt1)
if len(flux) == 0:
return 'N'
else:
return (flux / fluxerr).mean()
def snr_mjd_of_max(self, lc, flt1, flt2=None):
if not ('FLUXCAL' in lc.columns and 'FLUXCALERR' in lc.columns):
return 'N'
flux, fluxerr = self.__get_flux_and_fluxerr(lc, flt1)
if len(flux) == 0:
return 'N'
mjds = self.__get_mjds(lc, flt1)
return mjds[np.argmax(flux / fluxerr)]
# Family 6: Flat line fitting
@staticmethod
def __get_magerrs(lc, flt):
return lc['MAGERR'].values[lc['FLT'].values == flt].astype(float)
def flat_reduced_chi2(self, lc, flt1, flt2=None):
mags = self.__get_mags(lc, flt1)
magerrs = self.__get_magerrs(lc, flt1)
if len(mags) < 3:
return 'N'
chi2 = sum((mags - mags.mean())**2 / magerrs**2)
dof = len(mags) - 1
return chi2 / dof
def flat_reduced_chi2_weighted(self, lc, flt1, flt2=None):
mags = self.__get_mags(lc, flt1)
magerrs = self.__get_magerrs(lc, flt1)
if len(mags) < 3:
return 'N'
weighted_av = sum(mags / magerrs**2) / sum(1 / magerrs**2)
chi2 = sum((mags - weighted_av) ** 2 / magerrs ** 2)
dof = len(mags) - 1
return chi2 / dof
def flat_nobs_3_sigma_from_line(self, lc, flt1, flt2=None):
mags = self.__get_mags(lc, flt1)
magerrs = self.__get_magerrs(lc, flt1)
if len(mags) < 3:
return 'N'
return sum(np.abs((mags - mags.mean()) / magerrs) > 3)
def flat_nobs_3_sigma_from_line_weighted(self, lc, flt1, flt2=None):
mags = self.__get_mags(lc, flt1)
magerrs = self.__get_magerrs(lc, flt1)
if len(mags) < 3:
return 'N'
weighted_av = sum(mags / magerrs**2) / sum(1 / magerrs**2)
return sum(np.abs((mags - weighted_av) / magerrs) > 3)
def flat_nobs_2_sigma_from_line(self, lc, flt1, flt2=None):
mags = self.__get_mags(lc, flt1)
magerrs = self.__get_magerrs(lc, flt1)
if len(mags) < 3:
return 'N'
return sum(np.abs((mags - mags.mean()) / magerrs) > 2)
def flat_nobs_2_sigma_from_line_weighted(self, lc, flt1, flt2=None):
mags = self.__get_mags(lc, flt1)
magerrs = self.__get_magerrs(lc, flt1)
if len(mags) < 3:
return 'N'
weighted_av = sum(mags / magerrs**2) / sum(1 / magerrs**2)
return sum(np.abs((mags - weighted_av) / magerrs) > 2)
# Familiy 7: Half lightcurve mags
def half_first_average_mag(self, lc, flt1, flt2=None):
mags = self.__get_mags(lc, flt1)
mjds = self.__get_mjds(lc, flt1)
if len(mags) < 4:
return 'N'
split = mjds.mean()
return mags[mjds < split].mean()
def half_second_average_mag(self, lc, flt1, flt2=None):
mags = self.__get_mags(lc, flt1)
mjds = self.__get_mjds(lc, flt1)
if len(mags) < 4:
return 'N'
split = mjds.mean()
return mags[mjds > split].mean()
def half_first_average_mag_weighted(self, lc, flt1, flt2=None):
mags = self.__get_mags(lc, flt1)
mjds = self.__get_mjds(lc, flt1)
magerrs = self.__get_magerrs(lc, flt1)
if len(mags) < 4:
return 'N'
mask = (mjds < mjds.mean())
return sum(mags[mask] / magerrs[mask]**2) / sum(1 / magerrs[mask]**2)
def half_second_average_mag_weighted(self, lc, flt1, flt2=None):
mags = self.__get_mags(lc, flt1)
mjds = self.__get_mjds(lc, flt1)
magerrs = self.__get_magerrs(lc, flt1)
if len(mags) < 4:
return 'N'
mask = (mjds > mjds.mean())
return sum(mags[mask] / magerrs[mask]**2) / sum(1 / magerrs[mask]**2)
def half_split_average_mag_difference(self, lc, flt1, flt2=None):
mags = self.__get_mags(lc, flt1)
mjds = self.__get_mjds(lc, flt1)
if len(mags) < 4:
return 'N'
mask = (mjds < mjds.mean())
return mags[mask].mean() - mags[~mask].mean()
def half_split_average_mag_difference_weighted(self, lc, flt1, flt2=None):
mags = self.__get_mags(lc, flt1)
mjds = self.__get_mjds(lc, flt1)
magerrs = self.__get_magerrs(lc, flt1)
if len(mags) < 4:
return 'N'
mask = (mjds < mjds.mean())
lav = sum(mags[mask] / magerrs[mask]**2) / sum(1 / magerrs[mask]**2)
rav = sum(mags[~mask] / magerrs[~mask]**2) / sum(1 / magerrs[~mask]**2)
return lav - rav
# Family 8: Full lightcurve mags
def mag_average(self, lc, flt1, flt2=None):
mags = self.__get_mags(lc, flt1)
if len(mags) == 0:
return 'N'
return mags.mean()
def mag_average_weighted(self, lc, flt1, flt2=None):
mags = self.__get_mags(lc, flt1)
magerrs = self.__get_mags(lc, flt1)
if len(mags) == 0:
return 'N'
return sum(mags / magerrs**2) / sum(1 / magerrs**2)
def mag_brightest(self, lc, flt1, flt2=None):
mags = self.__get_mags(lc, flt1)
if len(mags) == 0:
return 'N'
return mags.min()
def mag_total_change(self, lc, flt1, flt2=None):
mags = self.__get_mags(lc, flt1)
if len(mags) == 0:
return 'N'
return mags[0] - mags[-1]
| 33.160633
| 79
| 0.558027
| 2,042
| 14,657
| 3.756121
| 0.071009
| 0.089179
| 0.070404
| 0.09309
| 0.809126
| 0.769622
| 0.731682
| 0.685658
| 0.668188
| 0.660756
| 0
| 0.042846
| 0.315276
| 14,657
| 441
| 80
| 33.235828
| 0.721403
| 0.023402
| 0
| 0.539823
| 0
| 0
| 0.016314
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.171091
| false
| 0
| 0.0059
| 0.058997
| 0.466077
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 1
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| 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
|
9edbed95eacb767b490ff9cf2a409be36143f146
| 176
|
py
|
Python
|
api/podcasts/apps.py
|
urfonline/api
|
fbd76c246eb1c64c9a12dbcffb21a317e64f8ada
|
[
"MIT"
] | 4
|
2017-06-13T16:20:34.000Z
|
2019-10-03T09:19:54.000Z
|
api/podcasts/apps.py
|
urfonline/api
|
fbd76c246eb1c64c9a12dbcffb21a317e64f8ada
|
[
"MIT"
] | 162
|
2017-05-23T11:41:33.000Z
|
2022-03-11T23:26:15.000Z
|
api/podcasts/apps.py
|
urfonline/api
|
fbd76c246eb1c64c9a12dbcffb21a317e64f8ada
|
[
"MIT"
] | 1
|
2017-05-19T09:25:25.000Z
|
2017-05-19T09:25:25.000Z
|
from django.apps import AppConfig
class PodcastConfig(AppConfig):
name = 'api.podcasts'
verbose_name = 'Podcasts'
def ready(self):
from . import signals
| 17.6
| 33
| 0.681818
| 20
| 176
| 5.95
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.232955
| 176
| 9
| 34
| 19.555556
| 0.881481
| 0
| 0
| 0
| 0
| 0
| 0.113636
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| false
| 0
| 0.333333
| 0
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| 1
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| 0
| null | 0
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| 0
| 0
| 0
| 0
| 1
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| 0
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| 0
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| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
9ee08a8dc9d0a076b4ce186a7f5292df2c4e80aa
| 108
|
py
|
Python
|
test/resources/hello_data/python/main.py
|
Manu343726/biicode-common
|
91b32c6fd1e4a72ce5451183f1766d313cd0e420
|
[
"MIT"
] | 17
|
2015-04-15T09:40:23.000Z
|
2017-05-17T20:34:49.000Z
|
test/resources/hello_data/python/main.py
|
Manu343726/biicode-common
|
91b32c6fd1e4a72ce5451183f1766d313cd0e420
|
[
"MIT"
] | 2
|
2015-04-22T11:29:36.000Z
|
2018-09-25T09:31:09.000Z
|
test/resources/hello_virtual/python/main.py
|
bowlofstew/common
|
45e9ca902be7bbbdd73dafe3ab8957bc4a006020
|
[
"MIT"
] | 22
|
2015-04-15T09:46:00.000Z
|
2020-09-29T17:03:31.000Z
|
'''
Created on 17/07/2013
@author: drodri
'''
import pretty
if __name__ == '__main__':
pretty.pretty()
| 12
| 26
| 0.657407
| 14
| 108
| 4.5
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.089888
| 0.175926
| 108
| 9
| 27
| 12
| 0.617978
| 0.351852
| 0
| 0
| 0
| 0
| 0.126984
| 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
|
9ef0828b5d323aca66ea9e3547693c10b7927a75
| 238
|
py
|
Python
|
tests/functional/test_whoami.py
|
lipak2345/python-ecsclient
|
d3f61497348f7c89c760c036d010aa6ca1317c22
|
[
"Apache-2.0"
] | null | null | null |
tests/functional/test_whoami.py
|
lipak2345/python-ecsclient
|
d3f61497348f7c89c760c036d010aa6ca1317c22
|
[
"Apache-2.0"
] | 1
|
2021-09-01T13:39:01.000Z
|
2021-12-30T21:07:38.000Z
|
tests/functional/test_whoami.py
|
lipak2345/python-ecsclient
|
d3f61497348f7c89c760c036d010aa6ca1317c22
|
[
"Apache-2.0"
] | null | null | null |
from ecsclient import schemas
from tests import functional
class TestWhoami(functional.BaseTestCase):
def test_whoami(self):
response = self.client.user_info.whoami()
self.assertValidSchema(response, schemas.WHOAMI)
| 26.444444
| 56
| 0.760504
| 27
| 238
| 6.62963
| 0.666667
| 0.111732
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.163866
| 238
| 8
| 57
| 29.75
| 0.899497
| 0
| 0
| 0
| 0
| 0
| 0
| 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
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| 0
| 1
| 0
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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
|
9ef1464117cd9e29bfcaf01ed2b1db032ea940f5
| 25
|
py
|
Python
|
tests/__init__.py
|
writepython/fmrest
|
c3eab39c5cfd97a1879f14f62a06e1b904471eb1
|
[
"MIT"
] | null | null | null |
tests/__init__.py
|
writepython/fmrest
|
c3eab39c5cfd97a1879f14f62a06e1b904471eb1
|
[
"MIT"
] | null | null | null |
tests/__init__.py
|
writepython/fmrest
|
c3eab39c5cfd97a1879f14f62a06e1b904471eb1
|
[
"MIT"
] | null | null | null |
u"""fmrest test suite"""
| 12.5
| 24
| 0.64
| 4
| 25
| 4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.12
| 25
| 1
| 25
| 25
| 0.727273
| 0.68
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
7303a26aee6cd10fd12037674a8473150cdda495
| 62
|
py
|
Python
|
epimargin/etl/__init__.py
|
dilawar/epimargin
|
0261117cb29dd233600d8f0410d79c93ba261fd3
|
[
"MIT"
] | 6
|
2021-06-19T14:01:10.000Z
|
2021-12-31T23:49:34.000Z
|
epimargin/etl/__init__.py
|
dilawar/epimargin
|
0261117cb29dd233600d8f0410d79c93ba261fd3
|
[
"MIT"
] | 34
|
2020-04-26T05:50:39.000Z
|
2020-06-17T14:02:32.000Z
|
epimargin/etl/__init__.py
|
dilawar/epimargin
|
0261117cb29dd233600d8f0410d79c93ba261fd3
|
[
"MIT"
] | 5
|
2021-05-26T16:35:15.000Z
|
2021-09-10T02:20:34.000Z
|
from .commons import download_data
__all__ = ["download_data"]
| 31
| 34
| 0.806452
| 8
| 62
| 5.5
| 0.75
| 0.545455
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.096774
| 62
| 2
| 35
| 31
| 0.785714
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| 0.206349
| 0
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| 0
| false
| 0
| 0.5
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| null | 1
| 0
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| 0
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| null | 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
734ad07da89c635db8109f0513835342e1c6ff52
| 206
|
py
|
Python
|
en/056/python/main.py
|
franciscogomes2020/exercises
|
8b33c4b9349a9331e4002a8225adc2a482c70024
|
[
"MIT"
] | null | null | null |
en/056/python/main.py
|
franciscogomes2020/exercises
|
8b33c4b9349a9331e4002a8225adc2a482c70024
|
[
"MIT"
] | null | null | null |
en/056/python/main.py
|
franciscogomes2020/exercises
|
8b33c4b9349a9331e4002a8225adc2a482c70024
|
[
"MIT"
] | null | null | null |
# Develop a program that reads the name, age and gender of 4 people. At the end of the program, show: the average age of the group, what the oldest man's name is, and how many women are under 20 years old.
| 103
| 205
| 0.752427
| 42
| 206
| 3.690476
| 0.738095
| 0.064516
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.018293
| 0.203884
| 206
| 1
| 206
| 206
| 0.926829
| 0.985437
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
b413c86041a0b2a5cd3c8b16af72285a6a7c71f9
| 158
|
py
|
Python
|
templatestore/apps.py
|
ackotech/django-templatestore
|
ec96f9b1f5b3d129bea0b2e8f3773bfcea440f36
|
[
"Apache-2.0"
] | 7
|
2020-03-06T12:17:50.000Z
|
2020-10-19T22:52:55.000Z
|
templatestore/apps.py
|
nilinswap/django-templatestore
|
bbf288a096b3a1e9d188d3dbd203cae2fc38b96c
|
[
"Apache-2.0"
] | 82
|
2020-03-11T11:10:48.000Z
|
2022-02-28T03:20:52.000Z
|
templatestore/apps.py
|
wilspi/django-template-editor
|
1c255ec408b209014039cc5d7907766d0c6475f3
|
[
"Apache-2.0"
] | 3
|
2020-05-12T08:42:50.000Z
|
2020-08-31T16:28:39.000Z
|
from django.apps import AppConfig
from templatestore import app_settings as ts_settings
class TemplateStoreAppConfig(AppConfig):
name = "templatestore"
| 22.571429
| 53
| 0.822785
| 18
| 158
| 7.111111
| 0.722222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.132911
| 158
| 6
| 54
| 26.333333
| 0.934307
| 0
| 0
| 0
| 0
| 0
| 0.082278
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 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
|
b45c03c065f3eef9a864748dad01da36e0574707
| 302
|
py
|
Python
|
insult.py
|
mrmilosz/kosmibot
|
cb129958a9ec526d86d54035a1951b575166132e
|
[
"MIT"
] | null | null | null |
insult.py
|
mrmilosz/kosmibot
|
cb129958a9ec526d86d54035a1951b575166132e
|
[
"MIT"
] | null | null | null |
insult.py
|
mrmilosz/kosmibot
|
cb129958a9ec526d86d54035a1951b575166132e
|
[
"MIT"
] | null | null | null |
import random
class Insult:
def __init__(self, filename):
self.insults = open(filename).read().splitlines()
def get(self, victim_name):
insult_format = random.choice(self.insults)
return insult_format % victim_name if insult_format.count('%s') == 1 else insult_format
| 30.2
| 95
| 0.692053
| 39
| 302
| 5.102564
| 0.589744
| 0.241206
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.004132
| 0.198676
| 302
| 9
| 96
| 33.555556
| 0.818182
| 0
| 0
| 0
| 0
| 0
| 0.006623
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.285714
| false
| 0
| 0.142857
| 0
| 0.714286
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
b475c19d7b1c708cb6b0f64175e80d2b65bc8baf
| 164
|
py
|
Python
|
Python-Basics/11.While/07. Min Number.py
|
Xamaneone/SoftUni-Intro
|
985fe3249cd2adf021c2003372e840219811d989
|
[
"MIT"
] | null | null | null |
Python-Basics/11.While/07. Min Number.py
|
Xamaneone/SoftUni-Intro
|
985fe3249cd2adf021c2003372e840219811d989
|
[
"MIT"
] | null | null | null |
Python-Basics/11.While/07. Min Number.py
|
Xamaneone/SoftUni-Intro
|
985fe3249cd2adf021c2003372e840219811d989
|
[
"MIT"
] | null | null | null |
import sys
num = input()
max_num = sys.maxsize
while num != "Stop":
num = int(num)
if num < max_num:
max_num = num
num = input()
print (max_num)
| 18.222222
| 21
| 0.591463
| 26
| 164
| 3.576923
| 0.423077
| 0.258065
| 0.193548
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.280488
| 164
| 9
| 22
| 18.222222
| 0.788136
| 0
| 0
| 0.222222
| 0
| 0
| 0.024242
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.111111
| 0
| 0.111111
| 0.111111
| 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
|
b47d94e2a42cf52292a95a7028763f65c377a38a
| 786
|
py
|
Python
|
Customers/search_indexes.py
|
solvable/rr
|
314ae475ac9a56779d5deb3c457427bf6d8dcb5f
|
[
"MIT"
] | null | null | null |
Customers/search_indexes.py
|
solvable/rr
|
314ae475ac9a56779d5deb3c457427bf6d8dcb5f
|
[
"MIT"
] | null | null | null |
Customers/search_indexes.py
|
solvable/rr
|
314ae475ac9a56779d5deb3c457427bf6d8dcb5f
|
[
"MIT"
] | null | null | null |
import datetime
from haystack import indexes
from .models import Customer
class CustomerIndex(indexes.SearchIndex, indexes.Indexable):
text = indexes.CharField(document = True, use_template=True)
billStreet = indexes.CharField(model_attr='billStreet')
billCity = indexes.CharField(model_attr = 'billCity')
billState = indexes.CharField(model_attr = 'billState')
billZip = indexes.CharField(model_attr = 'billZip')
phone1 = indexes.CharField(model_attr='phone1')
phone2 = indexes.CharField(model_attr='phone2')
email = indexes.CharField(model_attr='email')
def get_model(self):
return Customer
def index_queryset(self, using=None):
"""Used when the entire index for model is updated"""
return self.get_model().objects
| 34.173913
| 64
| 0.727735
| 92
| 786
| 6.097826
| 0.456522
| 0.228164
| 0.262032
| 0.311943
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.006126
| 0.169211
| 786
| 22
| 65
| 35.727273
| 0.852986
| 0.059796
| 0
| 0
| 0
| 0
| 0.069672
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.125
| false
| 0
| 0.1875
| 0.0625
| 1
| 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
|
b481d03cd45d6bbc9fa1956712ad4f93c3d5d91f
| 171
|
py
|
Python
|
Networking/checkip.py
|
inflatus/python
|
bc87e2ca9f40c0e53c0d6e15e364cb7dff1c6fc0
|
[
"MIT"
] | null | null | null |
Networking/checkip.py
|
inflatus/python
|
bc87e2ca9f40c0e53c0d6e15e364cb7dff1c6fc0
|
[
"MIT"
] | 7
|
2021-02-08T20:43:38.000Z
|
2022-03-12T00:17:16.000Z
|
Networking/checkip.py
|
inflatus/python
|
bc87e2ca9f40c0e53c0d6e15e364cb7dff1c6fc0
|
[
"MIT"
] | null | null | null |
import bs4 as bs
import urllib.request
sauce = urllib.request.urlopen('http://checkip.dyndns.com/').read()
soup = bs.BeautifulSoup(sauce, 'lxml')
print(soup.body.text)
| 19
| 67
| 0.736842
| 25
| 171
| 5.04
| 0.76
| 0.206349
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.006494
| 0.099415
| 171
| 8
| 68
| 21.375
| 0.811688
| 0
| 0
| 0
| 0
| 0
| 0.175439
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.4
| 0
| 0.4
| 0.2
| 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
|
b48eeba6140b93856bd85f47bb610f870ec796c5
| 17,239
|
py
|
Python
|
test/test_config_api.py
|
dcompane/controlm_py
|
c521208be2f00303383bb32ca5eb2b7ff91999d3
|
[
"MIT"
] | 2
|
2020-03-20T18:24:23.000Z
|
2021-03-05T22:05:04.000Z
|
test/test_config_api.py
|
dcompane/controlm_py
|
c521208be2f00303383bb32ca5eb2b7ff91999d3
|
[
"MIT"
] | null | null | null |
test/test_config_api.py
|
dcompane/controlm_py
|
c521208be2f00303383bb32ca5eb2b7ff91999d3
|
[
"MIT"
] | 1
|
2021-05-27T15:54:37.000Z
|
2021-05-27T15:54:37.000Z
|
# coding: utf-8
"""
Control-M Services
Provides access to BMC Control-M Services # noqa: E501
OpenAPI spec version: 9.20.220
Contact: customer_support@bmc.com
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import unittest
import controlm_py
from controlm_py.api.config_api import ConfigApi # noqa: E501
from controlm_py.rest import ApiException
class TestConfigApi(unittest.TestCase):
"""ConfigApi unit test stubs"""
def setUp(self):
self.api = ConfigApi() # noqa: E501
def tearDown(self):
pass
def test_add_agent(self):
"""Test case for add_agent
add agent to Server # noqa: E501
"""
pass
def test_add_archive_rule(self):
"""Test case for add_archive_rule
Add Workload Archiving rule # noqa: E501
"""
pass
def test_add_external_user(self):
"""Test case for add_external_user
Add and external user # noqa: E501
"""
pass
def test_add_external_user_or_user_group_to_mft_folder(self):
"""Test case for add_external_user_or_user_group_to_mft_folder
Add external user or user groups to virtual folder external users list. # noqa: E501
"""
pass
def test_add_gateway(self):
"""Test case for add_gateway
add gateway. # noqa: E501
"""
pass
def test_add_host_to_hostgroup(self):
"""Test case for add_host_to_hostgroup
add agent to hostgroup # noqa: E501
"""
pass
def test_add_hub_to_cluster(self):
"""Test case for add_hub_to_cluster
add hub to cluster. # noqa: E501
"""
pass
def test_add_mft_folder(self):
"""Test case for add_mft_folder
Add virtual folder # noqa: E501
"""
pass
def test_add_mft_user_group(self):
"""Test case for add_mft_user_group
Add user group. # noqa: E501
"""
pass
def test_add_pgp_template(self):
"""Test case for add_pgp_template
Add PGP Template # noqa: E501
"""
pass
def test_add_remote_host(self):
"""Test case for add_remote_host
add remote host to Server # noqa: E501
"""
pass
def test_add_role(self):
"""Test case for add_role
Add Authorization Role # noqa: E501
"""
pass
def test_add_role_to_ldap_group(self):
"""Test case for add_role_to_ldap_group
Add a role to LDAP group # noqa: E501
"""
pass
def test_add_role_to_user(self):
"""Test case for add_role_to_user
Add a role to user # noqa: E501
"""
pass
def test_add_secret(self):
"""Test case for add_secret
Add a new secret # noqa: E501
"""
pass
def test_add_server(self):
"""Test case for add_server
add server to the system # noqa: E501
"""
pass
def test_add_user(self):
"""Test case for add_user
Add user # noqa: E501
"""
pass
def test_add_zos_template(self):
"""Test case for add_zos_template
Add z/OS Template # noqa: E501
"""
pass
def test_authorize_mft_ssh_cluster(self):
"""Test case for authorize_mft_ssh_cluster
Authorize SSH Cluster # noqa: E501
"""
pass
def test_authorize_mft_ssh_host(self):
"""Test case for authorize_mft_ssh_host
Authorize SSH Host # noqa: E501
"""
pass
def test_authorize_ssh_known_remotehost(self):
"""Test case for authorize_ssh_known_remotehost
Authorize # noqa: E501
"""
pass
def test_change_user_password(self):
"""Test case for change_user_password
Change user password # noqa: E501
"""
pass
def test_create_agent_certificate_signing_request(self):
"""Test case for create_agent_certificate_signing_request
Create certificate signing request (CSR). # noqa: E501
"""
pass
def test_create_run_as_user(self):
"""Test case for create_run_as_user
Add a new Run-as user # noqa: E501
"""
pass
def test_delete_agent(self):
"""Test case for delete_agent
delete an agent from Server # noqa: E501
"""
pass
def test_delete_archive_rule(self):
"""Test case for delete_archive_rule
Delete Workload Archiving rule # noqa: E501
"""
pass
def test_delete_authorization_role(self):
"""Test case for delete_authorization_role
Delete Authorization Role # noqa: E501
"""
pass
def test_delete_external_user(self):
"""Test case for delete_external_user
Delete an external user # noqa: E501
"""
pass
def test_delete_external_user_or_user_group_from_mft_folder(self):
"""Test case for delete_external_user_or_user_group_from_mft_folder
Remove an external user or user group from an existing virtual folder in MFT. # noqa: E501
"""
pass
def test_delete_host_from_group(self):
"""Test case for delete_host_from_group
delete an agent from a hostgroup # noqa: E501
"""
pass
def test_delete_host_group(self):
"""Test case for delete_host_group
delete host group # noqa: E501
"""
pass
def test_delete_mft_folder(self):
"""Test case for delete_mft_folder
Delete a virtual folder. # noqa: E501
"""
pass
def test_delete_mft_user_group(self):
"""Test case for delete_mft_user_group
Delete user group. # noqa: E501
"""
pass
def test_delete_pgp_template(self):
"""Test case for delete_pgp_template
Delete PGP Template # noqa: E501
"""
pass
def test_delete_remote_host(self):
"""Test case for delete_remote_host
delete a remote host from Server # noqa: E501
"""
pass
def test_delete_role_from_ldap_group(self):
"""Test case for delete_role_from_ldap_group
Delete a role from LDAP group # noqa: E501
"""
pass
def test_delete_run_as_user(self):
"""Test case for delete_run_as_user
delete Run-as user # noqa: E501
"""
pass
def test_delete_secret(self):
"""Test case for delete_secret
Delete an existing secret # noqa: E501
"""
pass
def test_delete_user(self):
"""Test case for delete_user
Delete user # noqa: E501
"""
pass
def test_delete_zos_template(self):
"""Test case for delete_zos_template
Delete z/OS Template # noqa: E501
"""
pass
def test_deploy_agent_certificate(self):
"""Test case for deploy_agent_certificate
Deploy certificate (CRT). # noqa: E501
"""
pass
def test_disable_agent(self):
"""Test case for disable_agent
disable agent from the Server # noqa: E501
"""
pass
def test_enable_agent(self):
"""Test case for enable_agent
enable agent from the Server # noqa: E501
"""
pass
def test_failover(self):
"""Test case for failover
Perform Manual Failover on a specified Server # noqa: E501
"""
pass
def test_generate_mft_rsa_ssh_key(self):
"""Test case for generate_mft_rsa_ssh_key
Generate RSA SSH Key # noqa: E501
"""
pass
def test_get_agent_certificate_expiration_date(self):
"""Test case for get_agent_certificate_expiration_date
Get certificate expiration date. # noqa: E501
"""
pass
def test_get_agent_parameters(self):
"""Test case for get_agent_parameters
get agent parameters # noqa: E501
"""
pass
def test_get_agents(self):
"""Test case for get_agents
get Server agents # noqa: E501
"""
pass
def test_get_all_archive_rules(self):
"""Test case for get_all_archive_rules
Get all Workload Archiving rules # noqa: E501
"""
pass
def test_get_all_authorization_roles(self):
"""Test case for get_all_authorization_roles
Get Authorization Roles # noqa: E501
"""
pass
def test_get_all_organization_groups(self):
"""Test case for get_all_organization_groups
Get All organization groups # noqa: E501
"""
pass
def test_get_all_roles_associated_with_organization_group(self):
"""Test case for get_all_roles_associated_with_organization_group
Get Authorization Roles associated with an organization group # noqa: E501
"""
pass
def test_get_all_users(self):
"""Test case for get_all_users
Get users # noqa: E501
"""
pass
def test_get_archive_statistics(self):
"""Test case for get_archive_statistics
Get Workload Archiving statistics # noqa: E501
"""
pass
def test_get_external_user_authorized_folders(self):
"""Test case for get_external_user_authorized_folders
Get MFT external user authorized folders # noqa: E501
"""
pass
def test_get_external_users(self):
"""Test case for get_external_users
Get MFT external users that match the search criteria. # noqa: E501
"""
pass
def test_get_fts_settings(self):
"""Test case for get_fts_settings
Get File Transfer Server (FTS) configuration data. # noqa: E501
"""
pass
def test_get_hostgroups(self):
"""Test case for get_hostgroups
get Server hostgroups # noqa: E501
"""
pass
def test_get_hosts_in_group(self):
"""Test case for get_hosts_in_group
get hostgroup agents # noqa: E501
"""
pass
def test_get_hub_status_details(self):
"""Test case for get_hub_status_details
Get hub status. # noqa: E501
"""
pass
def test_get_mft_configuration(self):
"""Test case for get_mft_configuration
Get MFT Configuration # noqa: E501
"""
pass
def test_get_mft_folders(self):
"""Test case for get_mft_folders
Get MFT virtual folders that match the search criteria. # noqa: E501
"""
pass
def test_get_mft_gateways(self):
"""Test case for get_mft_gateways
Get MFT gateways # noqa: E501
"""
pass
def test_get_mft_user_groups(self):
"""Test case for get_mft_user_groups
Get all user groups that match the search criteria. # noqa: E501
"""
pass
def test_get_pgp_templates(self):
"""Test case for get_pgp_templates
Get PGP Templates # noqa: E501
"""
pass
def test_get_remote_host_properties(self):
"""Test case for get_remote_host_properties
get a remote host configuration from Server # noqa: E501
"""
pass
def test_get_remote_hosts(self):
"""Test case for get_remote_hosts
get Server remote hosts # noqa: E501
"""
pass
def test_get_role(self):
"""Test case for get_role
Get Authorization Role # noqa: E501
"""
pass
def test_get_role_associates(self):
"""Test case for get_role_associates
Get all authorization entities associated with role # noqa: E501
"""
pass
def test_get_run_as_user(self):
"""Test case for get_run_as_user
Get Run-as user # noqa: E501
"""
pass
def test_get_run_as_users_list(self):
"""Test case for get_run_as_users_list
Get Run-as user list that match the requested search criteria. # noqa: E501
"""
pass
def test_get_server_parameters(self):
"""Test case for get_server_parameters
get Server parameters # noqa: E501
"""
pass
def test_get_servers(self):
"""Test case for get_servers
get all the Servers name and hostname in the system # noqa: E501
"""
pass
def test_get_user(self):
"""Test case for get_user
Get user # noqa: E501
"""
pass
def test_get_user_effective_rights(self):
"""Test case for get_user_effective_rights
Get user real effective authorizations # noqa: E501
"""
pass
def test_get_workflow_insights_status(self):
"""Test case for get_workflow_insights_status
get Workflow Insights status # noqa: E501
"""
pass
def test_get_zos_templates(self):
"""Test case for get_zos_templates
Get z/OS Templates # noqa: E501
"""
pass
def test_list_secrets(self):
"""Test case for list_secrets
Get list of secret names # noqa: E501
"""
pass
def test_ping_agent(self):
"""Test case for ping_agent
ping to the agent in the Server # noqa: E501
"""
pass
def test_recycle_item(self):
"""Test case for recycle_item
recycle item # noqa: E501
"""
pass
def test_remove_controlm_server(self):
"""Test case for remove_controlm_server
Delete Server # noqa: E501
"""
pass
def test_remove_gateway(self):
"""Test case for remove_gateway
remove gateway. # noqa: E501
"""
pass
def test_remove_hub_from_cluster(self):
"""Test case for remove_hub_from_cluster
remove hub from cluster. # noqa: E501
"""
pass
def test_remove_role_from_user(self):
"""Test case for remove_role_from_user
Remove a role from a user # noqa: E501
"""
pass
def test_send_archive_cleanup_request(self):
"""Test case for send_archive_cleanup_request
Deletes data (jobs including outputs and logs) from the Workload Archiving database. # noqa: E501
"""
pass
def test_set_agent_parameter(self):
"""Test case for set_agent_parameter
set agent parameter # noqa: E501
"""
pass
def test_set_system_param(self):
"""Test case for set_system_param
set value of a an em system parameter # noqa: E501
"""
pass
def test_setasprimary(self):
"""Test case for setasprimary
Set secondary server as Primary on a specified Server # noqa: E501
"""
pass
def test_test_run_as_user(self):
"""Test case for test_run_as_user
Test existed Run-as user # noqa: E501
"""
pass
def test_update_archive_rule(self):
"""Test case for update_archive_rule
Edit Workload Archiving rule # noqa: E501
"""
pass
def test_update_external_user(self):
"""Test case for update_external_user
Update an external user # noqa: E501
"""
pass
def test_update_fts_settings(self):
"""Test case for update_fts_settings
Update File Transfer Server (FTS) configuration data. # noqa: E501
"""
pass
def test_update_hosts_in_hostgroup(self):
"""Test case for update_hosts_in_hostgroup
update agents in hostgroup. # noqa: E501
"""
pass
def test_update_mft_configuration(self):
"""Test case for update_mft_configuration
Update MFT Configuration # noqa: E501
"""
pass
def test_update_mft_folder(self):
"""Test case for update_mft_folder
Update an existing virtual folder in MFT. # noqa: E501
"""
pass
def test_update_mft_user_group(self):
"""Test case for update_mft_user_group
Update user group. # noqa: E501
"""
pass
def test_update_pgp_template(self):
"""Test case for update_pgp_template
Update PGP Template # noqa: E501
"""
pass
def test_update_role(self):
"""Test case for update_role
Update Authorization Role # noqa: E501
"""
pass
def test_update_run_as_user(self):
"""Test case for update_run_as_user
Update Run-as user # noqa: E501
"""
pass
def test_update_secret(self):
"""Test case for update_secret
Update an existing secret # noqa: E501
"""
pass
def test_update_user(self):
"""Test case for update_user
Update user # noqa: E501
"""
pass
def test_update_zos_template(self):
"""Test case for update_zos_template
Update z/OS Template # noqa: E501
"""
pass
if __name__ == '__main__':
unittest.main()
| 23.046791
| 106
| 0.598353
| 2,151
| 17,239
| 4.521153
| 0.088796
| 0.086375
| 0.115373
| 0.157326
| 0.665913
| 0.557738
| 0.36329
| 0.155784
| 0.081645
| 0.036195
| 0
| 0.027893
| 0.330356
| 17,239
| 747
| 107
| 23.077644
| 0.814536
| 0.473519
| 0
| 0.476852
| 1
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.481481
| false
| 0.481481
| 0.023148
| 0
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| 0
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| 0
| null | 0
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| null | 0
| 0
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| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
c30168b513edbca9538354032bfa2c8a29a52dd2
| 1,547
|
py
|
Python
|
sounds/sound.py
|
liuzihau/OutdoorAtHome
|
aaf928c8e8e347b5ed9809e20b4536250236eca5
|
[
"Apache-2.0"
] | null | null | null |
sounds/sound.py
|
liuzihau/OutdoorAtHome
|
aaf928c8e8e347b5ed9809e20b4536250236eca5
|
[
"Apache-2.0"
] | null | null | null |
sounds/sound.py
|
liuzihau/OutdoorAtHome
|
aaf928c8e8e347b5ed9809e20b4536250236eca5
|
[
"Apache-2.0"
] | null | null | null |
import pygame
import time
class fitness_sound():
def __init__(self):
self.soundon = 0
def play_my_sound(self,type,timer):
if timer < 10 and (self.soundon) == 0:
file = f"sounds/{type}.wav"
pygame.mixer.init()
pygame.mixer.music.load(file)
pygame.mixer.music.play()
self.soundon = 1
else:
pass
# def sound_of_all():
# pygame.mixer.init()
# pygame.mixer.Sound.play(pygame.mixer.Sound("sounds/bent_over_row.wav"))
# pygame.time.delay(26000)
# pygame.mixer.Sound.play(pygame.mixer.Sound("sounds/bicycle_crunch.wav"))
# pygame.time.delay(35000)
# pygame.mixer.Sound.play(pygame.mixer.Sound("sounds/bridge.wav"))
# pygame.time.delay(23000)
# pygame.mixer.Sound.play(pygame.mixer.Sound("sounds/dumbbell_bench_press.wav"))
# pygame.time.delay(45000)
# pygame.mixer.Sound.play(pygame.mixer.Sound("sounds/hip_thrust.wav"))
# pygame.time.delay(57000)
# pygame.mixer.Sound.play(pygame.mixer.Sound("sounds/lying_leg_raises.wav"))
# pygame.time.delay(23000)
# pygame.mixer.Sound.play(pygame.mixer.Sound("sounds/side_lateral_raise.wav"))
# pygame.time.delay(38000)
# pygame.mixer.Sound.play(pygame.mixer.Sound("sounds/squat.wav"))
# pygame.time.delay(44000)
# return
if __name__ == '__main__':
fitness_sound.sound_of_all()
| 32.229167
| 89
| 0.593407
| 187
| 1,547
| 4.748663
| 0.315508
| 0.247748
| 0.288288
| 0.18018
| 0.476351
| 0.43018
| 0.43018
| 0.43018
| 0.146396
| 0.146396
| 0
| 0.039753
| 0.268261
| 1,547
| 47
| 90
| 32.914894
| 0.7447
| 0.581771
| 0
| 0
| 0
| 0
| 0.043783
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.125
| false
| 0.0625
| 0.125
| 0
| 0.3125
| 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
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
c30d2d844087c5379759af26dd7d4435667f3e44
| 212
|
py
|
Python
|
ComicPub/homepage/urls.py
|
Xonshiz/ComicPub
|
d332ee1b62d6c28347954280696c86898de6d125
|
[
"MIT"
] | 8
|
2017-09-02T07:04:59.000Z
|
2020-12-17T17:30:34.000Z
|
ComicPub/homepage/urls.py
|
Xonshiz/ComicPub
|
d332ee1b62d6c28347954280696c86898de6d125
|
[
"MIT"
] | 1
|
2017-10-24T12:49:57.000Z
|
2017-10-24T15:04:44.000Z
|
ComicPub/homepage/urls.py
|
Xonshiz/ComicPub
|
d332ee1b62d6c28347954280696c86898de6d125
|
[
"MIT"
] | 4
|
2017-10-24T14:13:13.000Z
|
2021-12-15T17:09:23.000Z
|
from django.conf.urls import url
from homepage import views
urlpatterns = [
url(r'^$', views.homepage_index, name="homepage_index"),
# url(r'^$', views.HomePageIndex.as_view(), name="homepage_index"),
]
| 26.5
| 71
| 0.70283
| 28
| 212
| 5.178571
| 0.535714
| 0.268966
| 0.124138
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.132075
| 212
| 7
| 72
| 30.285714
| 0.788043
| 0.306604
| 0
| 0
| 0
| 0
| 0.110345
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.4
| 0
| 0.4
| 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
|
c3430dbaae1e18444157551926f94a3cdeac9fd6
| 5,164
|
py
|
Python
|
Dynamic_HD_Scripts/Dynamic_HD_Script_Tests/test_create_connected_lsmask_wrapper.py
|
ThomasRiddick/DynamicHD
|
bff378a49ff6c709dc59c2d6835852e1083df20a
|
[
"BSD-3-Clause"
] | 1
|
2021-08-04T07:51:18.000Z
|
2021-08-04T07:51:18.000Z
|
Dynamic_HD_Scripts/Dynamic_HD_Script_Tests/test_create_connected_lsmask_wrapper.py
|
ThomasRiddick/DynamicHD
|
bff378a49ff6c709dc59c2d6835852e1083df20a
|
[
"BSD-3-Clause"
] | 1
|
2022-01-27T22:12:45.000Z
|
2022-02-01T10:16:47.000Z
|
Dynamic_HD_Scripts/Dynamic_HD_Script_Tests/test_create_connected_lsmask_wrapper.py
|
ThomasRiddick/DynamicHD
|
bff378a49ff6c709dc59c2d6835852e1083df20a
|
[
"BSD-3-Clause"
] | null | null | null |
'''
Unit test of the wrapper for the connected ls mask creation c++ code
Created on May 25, 2016
@author: thomasriddick
'''
import unittest
import numpy as np
from Dynamic_HD_Scripts.interface.cpp_interface.libs \
import create_connected_lsmask_wrapper as cc_lsmask_wrapper #@UnresolvedImport
class Test(unittest.TestCase):
"""Unit test object"""
def setUp(self):
"""Unit test setup function. Prepare test data"""
self.landsea_in = np.asarray([[0,0,1,0,1,1,0,1,0,1],
[1,0,0,0,0,1,0,1,1,1],
[0,0,0,1,1,1,1,1,1,0],
[0,0,1,0,1,0,0,1,1,1],
[0,0,0,1,0,0,0,0,0,1],
[0,1,0,1,0,0,1,0,1,0],
[0,1,0,0,0,0,0,1,0,0],
[0,0,0,0,0,1,0,0,0,0],
[1,1,0,0,1,1,1,0,1,0],
[1,1,1,0,0,0,0,0,0,0]],
dtype=np.int32, order='C')
self.ocean_seed_points = np.asarray([[0,0,1,0,0,0,0,0,0,0],
[0,0,0,0,0,0,0,0,1,0],
[0,0,0,0,0,0,0,0,0,0],
[0,0,0,0,0,0,0,0,0,0],
[0,0,0,0,0,0,0,0,0,0],
[0,1,0,0,0,0,0,0,0,0],
[0,1,0,0,0,0,0,0,0,0],
[0,0,0,0,0,0,0,0,0,0],
[0,0,0,0,0,0,0,0,0,0],
[1,0,0,0,0,0,0,0,0,0]],
dtype=np.int32, order='C')
self.expected_output_using_diagonals = np.asarray([[0,0,1,0,1,1,0,1,0,1],
[1,0,0,0,0,1,0,1,1,1],
[0,0,0,1,1,1,1,1,1,0],
[0,0,1,0,1,0,0,1,1,1],
[0,0,0,1,0,0,0,0,0,1],
[0,1,0,1,0,0,1,0,1,0],
[0,1,0,0,0,0,0,1,0,0],
[0,0,0,0,0,0,0,0,0,0],
[1,1,0,0,0,0,0,0,0,0],
[1,1,1,0,0,0,0,0,0,0]],
dtype=np.int32, order='C')
self.expected_output_not_using_diagonals = np.asarray([[0,0,1,0,1,1,0,1,0,1],
[1,0,0,0,0,1,0,1,1,1],
[0,0,0,1,1,1,1,1,1,0],
[0,0,0,0,1,0,0,1,1,1],
[0,0,0,0,0,0,0,0,0,1],
[0,1,0,0,0,0,0,0,0,0],
[0,1,0,0,0,0,0,0,0,0],
[0,0,0,0,0,0,0,0,0,0],
[1,1,0,0,0,0,0,0,0,0],
[1,1,1,0,0,0,0,0,0,0]],
dtype=np.int32, order='C')
def testCreateConnectedLsmaskWrapperUsingDiagonals(self):
"""Test creating a connected ls mask including diagonal connections"""
cc_lsmask_wrapper.create_connected_ls_mask(self.landsea_in, #@UndefinedVariable
self.ocean_seed_points,
True)
np.testing.assert_array_equal(self.landsea_in,
self.expected_output_using_diagonals,
"Creating a connected ls mask using diagonal doesn't produce"
" expected results")
def testCreateConnectedLsmaskWrapperWithoutUsingDiagonals(self):
"""Test creating a connected ls mask not including diagonal connections"""
cc_lsmask_wrapper.create_connected_ls_mask(self.landsea_in, #@UndefinedVariable
self.ocean_seed_points,
False)
np.testing.assert_array_equal(self.landsea_in,
self.expected_output_not_using_diagonals,
"Creating a connected ls mask not using diagonals doesn't produce"
" expected results")
if __name__ == "__main__":
#import sys;sys.argv = ['', 'Test.testName']
unittest.main()
| 56.747253
| 104
| 0.332107
| 627
| 5,164
| 2.647528
| 0.133971
| 0.274699
| 0.334337
| 0.371084
| 0.675904
| 0.642169
| 0.629518
| 0.543373
| 0.540964
| 0.539157
| 0
| 0.174979
| 0.541828
| 5,164
| 90
| 105
| 57.377778
| 0.526627
| 0.079202
| 0
| 0.617647
| 0
| 0
| 0.035775
| 0
| 0
| 0
| 0
| 0
| 0.029412
| 1
| 0.044118
| false
| 0
| 0.044118
| 0
| 0.102941
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
5ee7fd8c534c68c54c2fb265b67760d2ddc3122c
| 535
|
py
|
Python
|
detectron/lib/python3.6/site-packages/torch/distributed/__init__.py
|
JustinBear99/Mask_RCNN
|
d43eaf7c6ebf29d4d6da796a0f7ff5561e21acff
|
[
"Apache-2.0"
] | null | null | null |
detectron/lib/python3.6/site-packages/torch/distributed/__init__.py
|
JustinBear99/Mask_RCNN
|
d43eaf7c6ebf29d4d6da796a0f7ff5561e21acff
|
[
"Apache-2.0"
] | null | null | null |
detectron/lib/python3.6/site-packages/torch/distributed/__init__.py
|
JustinBear99/Mask_RCNN
|
d43eaf7c6ebf29d4d6da796a0f7ff5561e21acff
|
[
"Apache-2.0"
] | null | null | null |
from __future__ import absolute_import, division, print_function, unicode_literals
import torch
def is_available():
return hasattr(torch._C, "_c10d_init")
if is_available() and not torch._C._c10d_init():
raise RuntimeError("Failed to initialize torch.distributed")
if is_available():
from .distributed_c10d import *
# Variables prefixed with underscore are not auto imported
# See the comment in `distributed_c10d.py` above `_backend` on why we expose
# this.
from .distributed_c10d import _backend
| 25.47619
| 82
| 0.753271
| 71
| 535
| 5.380282
| 0.647887
| 0.086387
| 0.052356
| 0.073298
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.022624
| 0.173832
| 535
| 20
| 83
| 26.75
| 0.841629
| 0.256075
| 0
| 0
| 0
| 0
| 0.121827
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.111111
| true
| 0
| 0.444444
| 0.111111
| 0.666667
| 0.111111
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 1
| 1
| 0
|
0
| 4
|
5eff80f47e96a0ee278f12733fb14f20ac08f80f
| 184
|
py
|
Python
|
demos/consts.py
|
Linusp/soph
|
46822f347795f51c3872a164fbbe416fa0e91807
|
[
"MIT"
] | 41
|
2016-04-28T03:14:27.000Z
|
2021-02-21T18:55:09.000Z
|
demos/consts.py
|
Linusp/soph
|
46822f347795f51c3872a164fbbe416fa0e91807
|
[
"MIT"
] | 3
|
2016-06-19T07:29:56.000Z
|
2017-12-15T09:39:05.000Z
|
demos/consts.py
|
Linusp/soph
|
46822f347795f51c3872a164fbbe416fa0e91807
|
[
"MIT"
] | 25
|
2016-06-07T17:29:02.000Z
|
2021-05-08T08:43:36.000Z
|
import os
PROJECT_ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
MODEL_PATH = os.path.join(PROJECT_ROOT, 'models')
DATA_PATH = os.path.join(PROJECT_ROOT, 'data')
| 26.285714
| 74
| 0.76087
| 30
| 184
| 4.366667
| 0.4
| 0.229008
| 0.198473
| 0.229008
| 0.625954
| 0.381679
| 0
| 0
| 0
| 0
| 0
| 0
| 0.081522
| 184
| 6
| 75
| 30.666667
| 0.775148
| 0
| 0
| 0
| 0
| 0
| 0.054348
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.25
| 0
| 0.25
| 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
|
6f04a19a9c1a981eb21b779442f0b4bc0fe57542
| 765
|
py
|
Python
|
meta_features/base.py
|
mostafaelaraby/generalization-gap-features-tensorflow
|
efec157d790a43a3fdeed81f3bf521023f6a83af
|
[
"Apache-2.0"
] | null | null | null |
meta_features/base.py
|
mostafaelaraby/generalization-gap-features-tensorflow
|
efec157d790a43a3fdeed81f3bf521023f6a83af
|
[
"Apache-2.0"
] | null | null | null |
meta_features/base.py
|
mostafaelaraby/generalization-gap-features-tensorflow
|
efec157d790a43a3fdeed81f3bf521023f6a83af
|
[
"Apache-2.0"
] | null | null | null |
import tensorflow as tf
class Base:
def __init__(self, name, feature_names,is_demogen=False):
self.name = name
self.feature_names = [feature_name +"_" + name for feature_name in feature_names]
self.last_runtime = -1
self.is_demogen = is_demogen
def get_name(self):
return self.name
def get_feature_names(self):
return self.feature_names
def extract_features(self, model, dataset):
pass
def get_run_time(self):
return self.last_runtime
def get_input_target(self, data):
if self.is_demogen:
# this is for demogen dataset only working on cifar-10
return data["inputs"], tf.squeeze(tf.cast(data["targets"], tf.int32))
return data
| 29.423077
| 90
| 0.645752
| 104
| 765
| 4.509615
| 0.423077
| 0.127932
| 0.089552
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.008945
| 0.269281
| 765
| 25
| 91
| 30.6
| 0.830054
| 0.067974
| 0
| 0
| 0
| 0
| 0.019691
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.315789
| false
| 0.052632
| 0.052632
| 0.157895
| 0.684211
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
|
0
| 4
|
6f0bca427672985c83338cd9e7a168273972ffbc
| 124
|
py
|
Python
|
exercicios/007.py
|
daldantas/Curso-Python
|
96d09393b1ad278990156906e965c0d7adb4f4aa
|
[
"MIT"
] | null | null | null |
exercicios/007.py
|
daldantas/Curso-Python
|
96d09393b1ad278990156906e965c0d7adb4f4aa
|
[
"MIT"
] | null | null | null |
exercicios/007.py
|
daldantas/Curso-Python
|
96d09393b1ad278990156906e965c0d7adb4f4aa
|
[
"MIT"
] | null | null | null |
n1 = float(input("Digite um número: "))
n2 = float(input("Digite outro: "))
m = (n1 + n2) / 2
print('{:.2f}'.format(m))
| 24.8
| 40
| 0.556452
| 19
| 124
| 3.631579
| 0.684211
| 0.289855
| 0.463768
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.059406
| 0.185484
| 124
| 4
| 41
| 31
| 0.623762
| 0
| 0
| 0
| 0
| 0
| 0.316667
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.25
| 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
|
6f31f0c7e51779dad4dfb9c66baaa199153ee423
| 76
|
py
|
Python
|
ex41.py
|
cohadar/learn-python-the-hard-way
|
10d88fe59a8abc5303661cfe91c6db9fa71bdd56
|
[
"MIT"
] | null | null | null |
ex41.py
|
cohadar/learn-python-the-hard-way
|
10d88fe59a8abc5303661cfe91c6db9fa71bdd56
|
[
"MIT"
] | null | null | null |
ex41.py
|
cohadar/learn-python-the-hard-way
|
10d88fe59a8abc5303661cfe91c6db9fa71bdd56
|
[
"MIT"
] | null | null | null |
# list.copy is done with lst[:]
# This tutorial is gettingg more insane
| 10.857143
| 39
| 0.697368
| 12
| 76
| 4.416667
| 0.916667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.223684
| 76
| 6
| 40
| 12.666667
| 0.898305
| 0.881579
| 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
|
6f3309530d706d96b59228aae1ae630bdda51555
| 421
|
py
|
Python
|
Droit/views/errors.py
|
Halleloya/DBAC
|
af149fdcb18cb12817ea44b45750ede502d114a2
|
[
"BSD-3-Clause"
] | null | null | null |
Droit/views/errors.py
|
Halleloya/DBAC
|
af149fdcb18cb12817ea44b45750ede502d114a2
|
[
"BSD-3-Clause"
] | null | null | null |
Droit/views/errors.py
|
Halleloya/DBAC
|
af149fdcb18cb12817ea44b45750ede502d114a2
|
[
"BSD-3-Clause"
] | null | null | null |
"""
Define the error pages for the project
"""
from flask import render_template
def register_error_page(app):
@app.errorhandler(404)
def page_not_found(e):
# note that we set the 404 status explicitly
return render_template('/errors/404.html', description = e), 404
@app.errorhandler(401)
def unauthorized (e):
return render_template('/errors/401.html', description = e), 401
| 24.764706
| 72
| 0.688836
| 57
| 421
| 4.964912
| 0.561404
| 0.14841
| 0.141343
| 0.183746
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.062874
| 0.206651
| 421
| 16
| 73
| 26.3125
| 0.784431
| 0.194774
| 0
| 0
| 0
| 0
| 0.096677
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.375
| false
| 0
| 0.125
| 0.25
| 0.75
| 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
|
6f39bd3d68171b799a53acf6028ddb77cbf33f05
| 531
|
py
|
Python
|
test/test_main_view.py
|
pixb/great-hero-beard-robot
|
5c2b9549e43f756f1604e98fb06b15ad437c11f3
|
[
"MIT"
] | null | null | null |
test/test_main_view.py
|
pixb/great-hero-beard-robot
|
5c2b9549e43f756f1604e98fb06b15ad437c11f3
|
[
"MIT"
] | null | null | null |
test/test_main_view.py
|
pixb/great-hero-beard-robot
|
5c2b9549e43f756f1604e98fb06b15ad437c11f3
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
# @Time : 2021/8/25 8:15
# @Author : pixb
# @Email : tpxsky@163.com
# @File : test_main_view.py
# @Software: PyCharm
# @Description:
from view.main_view import main_view
def test_main_back():
main_view().click_back()
def test_click_enter():
main_view().click_enter()
def test_add_speed():
main_view().click_add_speed()
def test_select_level():
main_view().select_level()
def test_click_sale():
main_view().click_sale()
def test_w_click():
main_view().double_click()
| 18.310345
| 36
| 0.676083
| 79
| 531
| 4.177215
| 0.43038
| 0.218182
| 0.157576
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.031746
| 0.169492
| 531
| 28
| 37
| 18.964286
| 0.716553
| 0.284369
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.461538
| true
| 0
| 0.076923
| 0
| 0.538462
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
6f451f7ac64563044fa2508a7e4f4b2ced214879
| 45
|
py
|
Python
|
lang/py/cookbook/v2/source/cb2_2_1_sol_5.py
|
ch1huizong/learning
|
632267634a9fd84a5f5116de09ff1e2681a6cc85
|
[
"MIT"
] | null | null | null |
lang/py/cookbook/v2/source/cb2_2_1_sol_5.py
|
ch1huizong/learning
|
632267634a9fd84a5f5116de09ff1e2681a6cc85
|
[
"MIT"
] | null | null | null |
lang/py/cookbook/v2/source/cb2_2_1_sol_5.py
|
ch1huizong/learning
|
632267634a9fd84a5f5116de09ff1e2681a6cc85
|
[
"MIT"
] | null | null | null |
for line in file_object:
## process line
| 15
| 24
| 0.688889
| 7
| 45
| 4.285714
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.244444
| 45
| 2
| 25
| 22.5
| 0.882353
| 0.266667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
489f8c5a279d112759479481c820706af52d0b4e
| 115
|
py
|
Python
|
Scripts/support/textManipulation.py
|
MainDuelo/Python-Tkinter-and-SQLite
|
7f69780ce9c1c8ebe807197448030aed94c3a082
|
[
"MIT"
] | null | null | null |
Scripts/support/textManipulation.py
|
MainDuelo/Python-Tkinter-and-SQLite
|
7f69780ce9c1c8ebe807197448030aed94c3a082
|
[
"MIT"
] | null | null | null |
Scripts/support/textManipulation.py
|
MainDuelo/Python-Tkinter-and-SQLite
|
7f69780ce9c1c8ebe807197448030aed94c3a082
|
[
"MIT"
] | null | null | null |
class TextManipulation:
def formatText(text):
newText = text.replace("&", "\n")
return newText
| 23
| 41
| 0.608696
| 11
| 115
| 6.363636
| 0.818182
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.26087
| 115
| 5
| 42
| 23
| 0.823529
| 0
| 0
| 0
| 0
| 0
| 0.025862
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0
| 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
|
48a91e52dcde69b0ac65d9abba9b30445878565f
| 249
|
py
|
Python
|
setup.py
|
PublicMapping/districtbuilder-classic-config
|
a83fd3d8c541475b80eb056d1d3a0f297986ba63
|
[
"Apache-2.0"
] | null | null | null |
setup.py
|
PublicMapping/districtbuilder-classic-config
|
a83fd3d8c541475b80eb056d1d3a0f297986ba63
|
[
"Apache-2.0"
] | 1
|
2018-03-01T21:44:48.000Z
|
2018-03-01T21:44:48.000Z
|
setup.py
|
PublicMapping/district-builder-config
|
a83fd3d8c541475b80eb056d1d3a0f297986ba63
|
[
"Apache-2.0"
] | null | null | null |
from distutils.core import setup
setup(
name="district_builder_config",
version="0.1.0",
packages=["district_builder_config"],
package_data={'': ['templates/*.j2']},
install_requires=[
'jinja2',
'lxml',
],
)
| 19.153846
| 42
| 0.60241
| 26
| 249
| 5.538462
| 0.807692
| 0.208333
| 0.291667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.025907
| 0.2249
| 249
| 12
| 43
| 20.75
| 0.720207
| 0
| 0
| 0
| 0
| 0
| 0.301205
| 0.184739
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.090909
| 0
| 0.090909
| 0
| 1
| 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
| 0
| 0
| 0
| 0
|
0
| 4
|
48e39fdcd0c968124ac508cfc46fb1d14ee18ae9
| 96
|
py
|
Python
|
Lesson 5 Miniflow/Backpropagation/nn.py
|
alchemz/Self-Driving-Car-Engineer-Nanodegree
|
70d6ae9d741b6c53712e0099af04597dc0ba0291
|
[
"MIT"
] | 1
|
2021-03-20T12:32:35.000Z
|
2021-03-20T12:32:35.000Z
|
Lesson 5 Miniflow/Backpropagation/nn.py
|
alchemz/Self-Driving-Car-Engineer-Nanodegree
|
70d6ae9d741b6c53712e0099af04597dc0ba0291
|
[
"MIT"
] | null | null | null |
Lesson 5 Miniflow/Backpropagation/nn.py
|
alchemz/Self-Driving-Car-Engineer-Nanodegree
|
70d6ae9d741b6c53712e0099af04597dc0ba0291
|
[
"MIT"
] | null | null | null |
import numpy as np
from miniflow import *
X, W, b = Input(), Input(), Input()
y = Input()
f= li
| 16
| 35
| 0.625
| 17
| 96
| 3.529412
| 0.764706
| 0.333333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.208333
| 96
| 6
| 36
| 16
| 0.789474
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.4
| 0
| 0.4
| 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
|
5b01b43a5925ea007b714242cb2e97f79df2f191
| 318
|
py
|
Python
|
config_handler/exceptions.py
|
amphinicy/config-handler
|
3f787b569eba253bf013a4f8e7324a56153d0d2c
|
[
"MIT"
] | null | null | null |
config_handler/exceptions.py
|
amphinicy/config-handler
|
3f787b569eba253bf013a4f8e7324a56153d0d2c
|
[
"MIT"
] | 1
|
2019-04-10T13:27:32.000Z
|
2019-04-10T13:27:32.000Z
|
config_handler/exceptions.py
|
amphinicy/config-handler
|
3f787b569eba253bf013a4f8e7324a56153d0d2c
|
[
"MIT"
] | null | null | null |
class ConfigHandlerException(Exception):
"""Main Config Handler Exception class"""
class ConfigHandlerFileReadException(ConfigHandlerException):
"""Config Handler ConfigFile Read Exception class"""
class ConfigHandlerNamingException(ConfigHandlerException):
"""Config Handler Naming Exception class"""
| 28.909091
| 61
| 0.795597
| 25
| 318
| 10.12
| 0.44
| 0.15415
| 0.150198
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.119497
| 318
| 10
| 62
| 31.8
| 0.903571
| 0.377358
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
5b0459c3b7ef7ef2b7d03a3837c86bc10528d470
| 173
|
py
|
Python
|
lab-taxi/main.py
|
piotrbazan/deep-reinforcement-learning
|
165ab29a1d85630b7baa7ccb31a1ab91cd0c6413
|
[
"MIT"
] | null | null | null |
lab-taxi/main.py
|
piotrbazan/deep-reinforcement-learning
|
165ab29a1d85630b7baa7ccb31a1ab91cd0c6413
|
[
"MIT"
] | null | null | null |
lab-taxi/main.py
|
piotrbazan/deep-reinforcement-learning
|
165ab29a1d85630b7baa7ccb31a1ab91cd0c6413
|
[
"MIT"
] | null | null | null |
from agent import *
from monitor import interact
import gym
import numpy as np
env = gym.make('Taxi-v2')
agent = Sarsa()
avg_rewards, best_avg_reward = interact(env, agent)
| 21.625
| 51
| 0.763006
| 28
| 173
| 4.607143
| 0.642857
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.006757
| 0.144509
| 173
| 8
| 51
| 21.625
| 0.864865
| 0
| 0
| 0
| 0
| 0
| 0.04023
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.571429
| 0
| 0.571429
| 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
|
5b095a6e5b2e6b4226aeb79c336118f61aed7522
| 211
|
py
|
Python
|
301-400/381-390/389-findTheDifference/findTheDifference.py
|
xuychen/Leetcode
|
c8bf33af30569177c5276ffcd72a8d93ba4c402a
|
[
"MIT"
] | null | null | null |
301-400/381-390/389-findTheDifference/findTheDifference.py
|
xuychen/Leetcode
|
c8bf33af30569177c5276ffcd72a8d93ba4c402a
|
[
"MIT"
] | null | null | null |
301-400/381-390/389-findTheDifference/findTheDifference.py
|
xuychen/Leetcode
|
c8bf33af30569177c5276ffcd72a8d93ba4c402a
|
[
"MIT"
] | null | null | null |
class Solution(object):
def findTheDifference(self, s, t):
"""
:type s: str
:type t: str
:rtype: str
"""
return chr(reduce(lambda a, b: a ^ ord(b), s + t, 0))
| 23.444444
| 61
| 0.473934
| 28
| 211
| 3.571429
| 0.678571
| 0.04
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007576
| 0.374408
| 211
| 9
| 61
| 23.444444
| 0.75
| 0.175355
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| 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
|
5b2386fcb0b3e8b285fc398f98e7d07a722a8b64
| 215
|
py
|
Python
|
tests/context.py
|
alethiophile/openakun
|
6e9a6aee403c3b94dd3e323ff39a6bdfd80e2374
|
[
"MIT"
] | null | null | null |
tests/context.py
|
alethiophile/openakun
|
6e9a6aee403c3b94dd3e323ff39a6bdfd80e2374
|
[
"MIT"
] | null | null | null |
tests/context.py
|
alethiophile/openakun
|
6e9a6aee403c3b94dd3e323ff39a6bdfd80e2374
|
[
"MIT"
] | null | null | null |
import os, sys
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__),
'..')))
os.environ['OPENAKUN_TESTING'] = '1'
import openakun.pages as pages
| 30.714286
| 74
| 0.562791
| 27
| 215
| 4.296296
| 0.592593
| 0.155172
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.013072
| 0.288372
| 215
| 6
| 75
| 35.833333
| 0.745098
| 0
| 0
| 0
| 0
| 0
| 0.088372
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.4
| 0
| 0.4
| 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
|
d2ef21259f46a9a9c179cd80888c657a70a2e47d
| 89
|
py
|
Python
|
src/Server/backend/GnC/apps.py
|
tejpratap545/denselight_system
|
af927da71113e48c9673e3f72623f1f28785ae7c
|
[
"Apache-2.0"
] | null | null | null |
src/Server/backend/GnC/apps.py
|
tejpratap545/denselight_system
|
af927da71113e48c9673e3f72623f1f28785ae7c
|
[
"Apache-2.0"
] | null | null | null |
src/Server/backend/GnC/apps.py
|
tejpratap545/denselight_system
|
af927da71113e48c9673e3f72623f1f28785ae7c
|
[
"Apache-2.0"
] | null | null | null |
from django.apps import AppConfig
class GncConfig(AppConfig):
name = "backend.GnC"
| 14.833333
| 33
| 0.741573
| 11
| 89
| 6
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.168539
| 89
| 5
| 34
| 17.8
| 0.891892
| 0
| 0
| 0
| 0
| 0
| 0.123596
| 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
|
9623396c4d30354ea50b7124a5736fecdcb321a7
| 646
|
py
|
Python
|
tests/test_utils.py
|
Copper-Head/RoboSanta
|
1e9ca5d7c21bc8e893dcb6f25e9c6baadfe08ba4
|
[
"MIT"
] | null | null | null |
tests/test_utils.py
|
Copper-Head/RoboSanta
|
1e9ca5d7c21bc8e893dcb6f25e9c6baadfe08ba4
|
[
"MIT"
] | 1
|
2019-12-16T10:48:16.000Z
|
2019-12-16T10:48:16.000Z
|
tests/test_utils.py
|
iliakur/RoboSanta
|
1e9ca5d7c21bc8e893dcb6f25e9c6baadfe08ba4
|
[
"MIT"
] | null | null | null |
from fileIO import experiment_item_name
def test_experiment_item_name():
path = "some-file.lp"
assert experiment_item_name(path) == "some-file"
nested_path = "/some-dir/some-file.lp"
assert experiment_item_name(nested_path) == "some-file"
different_extension = "some-file.txt"
assert experiment_item_name(different_extension) == "some-file"
many_extensions = "some-file.txt.lp"
assert experiment_item_name(many_extensions) == "some-file.txt"
hidden_path = "/some-dir/.hidden"
assert experiment_item_name(hidden_path) == ".hidden"
empty_path = ""
assert experiment_item_name(empty_path) == ""
| 30.761905
| 67
| 0.719814
| 85
| 646
| 5.152941
| 0.258824
| 0.255708
| 0.328767
| 0.328767
| 0.406393
| 0.232877
| 0.155251
| 0
| 0
| 0
| 0
| 0
| 0.157895
| 646
| 20
| 68
| 32.3
| 0.805147
| 0
| 0
| 0
| 0
| 0
| 0.196594
| 0.034056
| 0
| 0
| 0
| 0
| 0.428571
| 1
| 0.071429
| false
| 0
| 0.071429
| 0
| 0.142857
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
82593e4646811dacb505111ef4336f562e786178
| 1,356
|
py
|
Python
|
cirq/ion/ion_gates.py
|
alexisshaw/Cirq
|
f907314fdce765c433206d6ad3c4cff02df07cd9
|
[
"Apache-2.0"
] | 1
|
2020-07-16T07:09:10.000Z
|
2020-07-16T07:09:10.000Z
|
cirq/ion/ion_gates.py
|
alexisshaw/Cirq
|
f907314fdce765c433206d6ad3c4cff02df07cd9
|
[
"Apache-2.0"
] | null | null | null |
cirq/ion/ion_gates.py
|
alexisshaw/Cirq
|
f907314fdce765c433206d6ad3c4cff02df07cd9
|
[
"Apache-2.0"
] | null | null | null |
# Copyright 2018 The Cirq Developers
#
# 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
#
# https://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.
"""Operations native to iontrap systems."""
import numpy as np
from cirq import ops
def ms(rads: float) -> ops.XXPowGate:
"""The Mølmer–Sørensen gate, a native two-qubit operation in ion traps.
A rotation around the XX axis in the two-qubit bloch sphere.
The gate implements the following unitary:
exp(-i t XX) = [ cos(t) 0 0 -isin(t)]
[ 0 cos(t) -isin(t) 0 ]
[ 0 -isin(t) cos(t) 0 ]
[-isin(t) 0 0 cos(t) ]
Args:
rads: The rotation angle in radians.
Returns:
Mølmer–Sørensen gate rotating by the desired amount.
"""
return ops.XXPowGate(exponent=rads * 2 / np.pi, global_shift=-0.5)
| 33.073171
| 75
| 0.634218
| 198
| 1,356
| 4.348485
| 0.570707
| 0.069686
| 0.010453
| 0.037166
| 0.018583
| 0
| 0
| 0
| 0
| 0
| 0
| 0.019527
| 0.282448
| 1,356
| 40
| 76
| 33.9
| 0.863309
| 0.822271
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.5
| 0
| 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
| 1
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
82612217373354876b13477c4703bf972232dbe2
| 66
|
py
|
Python
|
tonga/services/consumer/__init__.py
|
Qotto/tonga
|
a6ae223ebf0fb7b317118b762102f1909435d1cf
|
[
"MIT"
] | 1
|
2019-12-17T10:06:03.000Z
|
2019-12-17T10:06:03.000Z
|
tonga/services/consumer/__init__.py
|
Qotto/tonga
|
a6ae223ebf0fb7b317118b762102f1909435d1cf
|
[
"MIT"
] | 1
|
2019-07-04T15:22:58.000Z
|
2019-07-05T07:23:31.000Z
|
tonga/services/consumer/__init__.py
|
Qotto/tonga
|
a6ae223ebf0fb7b317118b762102f1909435d1cf
|
[
"MIT"
] | 2
|
2019-06-05T15:40:49.000Z
|
2019-12-10T09:24:23.000Z
|
#!/usr/bin/env python
# coding: utf-8
# Copyright (c) Qotto, 2019
| 16.5
| 27
| 0.666667
| 11
| 66
| 4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.089286
| 0.151515
| 66
| 3
| 28
| 22
| 0.696429
| 0.909091
| 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
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| 0
| 1
| 0
| 0
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| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
82694872601c915d96e15a32375bdbef43a5183a
| 970
|
py
|
Python
|
app.py
|
pwentrys/app_factory
|
17081ef7c8e5867f33323d2f78880f8657693d3c
|
[
"MIT"
] | null | null | null |
app.py
|
pwentrys/app_factory
|
17081ef7c8e5867f33323d2f78880f8657693d3c
|
[
"MIT"
] | null | null | null |
app.py
|
pwentrys/app_factory
|
17081ef7c8e5867f33323d2f78880f8657693d3c
|
[
"MIT"
] | null | null | null |
# --------------------------------------------------------------------------- #
# #
# Core Imports #
# #
# --------------------------------------------------------------------------- #
from config.configuration import DEBUG, NAME, IP, PORT, THREADED
from flaskfactory import FlaskFactory as Factory
# --------------------------------------------------------------------------- #
# #
# Default Configuration #
# #
# --------------------------------------------------------------------------- #
app = Factory.create(NAME, IP, PORT, DEBUG, THREADED)
| 60.625
| 79
| 0.170103
| 27
| 970
| 6.111111
| 0.62963
| 0.072727
| 0.121212
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.486598
| 970
| 15
| 80
| 64.666667
| 0.331325
| 0.791753
| 0
| 0
| 0
| 0
| 0
| 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
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
8273757df88786f297c61ff04cedfdae61e481d7
| 300
|
py
|
Python
|
tdd/chap1/superlists/lists/views.py
|
peter-wangxu/python_play
|
5774c192a49ea0c35504697dd75e1c2c8e366097
|
[
"Apache-2.0"
] | null | null | null |
tdd/chap1/superlists/lists/views.py
|
peter-wangxu/python_play
|
5774c192a49ea0c35504697dd75e1c2c8e366097
|
[
"Apache-2.0"
] | null | null | null |
tdd/chap1/superlists/lists/views.py
|
peter-wangxu/python_play
|
5774c192a49ea0c35504697dd75e1c2c8e366097
|
[
"Apache-2.0"
] | null | null | null |
from django.shortcuts import render
from django.http import HttpResponse
# Create your views here.
def home_page(request):
if request.method == 'POST':
return render(request, 'home.html',
{'new_item_text': request.POST['item_text']})
return render(request, 'home.html')
| 30
| 57
| 0.69
| 39
| 300
| 5.205128
| 0.589744
| 0.098522
| 0.187192
| 0.226601
| 0.26601
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.19
| 300
| 9
| 58
| 33.333333
| 0.835391
| 0.076667
| 0
| 0
| 0
| 0
| 0.16
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.142857
| false
| 0
| 0.285714
| 0
| 0.714286
| 0
| 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
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
8280cecb7c7dcd1eedb6b5aa0ff542a5d44743f8
| 172
|
py
|
Python
|
app/secure.py
|
ttkltll/fisher
|
8889705c7bde10304cfde7972b805226ac59d735
|
[
"MIT"
] | null | null | null |
app/secure.py
|
ttkltll/fisher
|
8889705c7bde10304cfde7972b805226ac59d735
|
[
"MIT"
] | 3
|
2020-09-15T23:37:18.000Z
|
2020-09-16T00:36:55.000Z
|
app/secure.py
|
ttkltll/fisher
|
8889705c7bde10304cfde7972b805226ac59d735
|
[
"MIT"
] | 1
|
2020-09-15T02:55:54.000Z
|
2020-09-15T02:55:54.000Z
|
DEBUG = True
SECRET_KEY = "iECgbYWReMNxkRprrzMo5KAQYnb2UeZ3bwvReTSt+VSESW0OB8zbglT+6rEcDW9X"
SQLALCHEMY_DATABASE_URI = "mysql+pymysql://root:999999@127.0.0.1:3306/fisher"
| 34.4
| 79
| 0.825581
| 20
| 172
| 6.95
| 0.95
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.141975
| 0.05814
| 172
| 4
| 80
| 43
| 0.716049
| 0
| 0
| 0
| 0
| 0
| 0.656977
| 0.656977
| 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
|
8286e87e74c0a3b6aaf9f7f538e426e74f579609
| 2,696
|
py
|
Python
|
tests/chadlib/utility/test_hex_math.py
|
cjreynol/chadlib
|
e417a6c5b100b7124a7d9b61d0120b3caa897bb8
|
[
"MIT"
] | 1
|
2021-08-06T21:56:52.000Z
|
2021-08-06T21:56:52.000Z
|
tests/chadlib/utility/test_hex_math.py
|
cjreynol/chadlib
|
e417a6c5b100b7124a7d9b61d0120b3caa897bb8
|
[
"MIT"
] | null | null | null |
tests/chadlib/utility/test_hex_math.py
|
cjreynol/chadlib
|
e417a6c5b100b7124a7d9b61d0120b3caa897bb8
|
[
"MIT"
] | null | null | null |
from unittest import TestCase
from chadlib.utility.hex_math import *
class TestHexMath(TestCase):
def setUp(self):
self.position0 = (0, 0, 0)
self.position1 = (3, 2, -5)
self.cubic_positions = [self.position0, self.position1]
self.axial_positions = [cubic_to_axial(*pos)
for pos in self.cubic_positions]
def tearDown(self):
pass
def test_cubic_to_axial_to_cubic(self):
for pos in self.cubic_positions:
axial = cubic_to_axial(*self.position0)
cubic = axial_to_cubic(*axial)
self.assertTupleEqual(self.position0, cubic)
def test_cubic_inverse_movements(self):
for pos in self.cubic_positions:
self.assertTupleEqual(pos, cubic_north(*cubic_south(*pos)))
self.assertTupleEqual(pos, cubic_south(*cubic_north(*pos)))
self.assertTupleEqual(pos, cubic_northeast(*cubic_southwest(*pos)))
self.assertTupleEqual(pos, cubic_southwest(*cubic_northeast(*pos)))
self.assertTupleEqual(pos, cubic_northwest(*cubic_southeast(*pos)))
self.assertTupleEqual(pos, cubic_southeast(*cubic_northwest(*pos)))
self.assertTupleEqual(pos, cubic_east(*cubic_west(*pos)))
self.assertTupleEqual(pos, cubic_west(*cubic_east(*pos)))
def test_axial_inverse_movements(self):
for pos in self.axial_positions:
self.assertTupleEqual(pos, axial_north(*axial_south(*pos)))
self.assertTupleEqual(pos, axial_south(*axial_north(*pos)))
self.assertTupleEqual(pos, axial_northeast(*axial_southwest(*pos)))
self.assertTupleEqual(pos, axial_southwest(*axial_northeast(*pos)))
self.assertTupleEqual(pos, axial_northwest(*axial_southeast(*pos)))
self.assertTupleEqual(pos, axial_southeast(*axial_northwest(*pos)))
self.assertTupleEqual(pos, axial_east(*axial_west(*pos)))
self.assertTupleEqual(pos, axial_west(*axial_east(*pos)))
def test_cubic_n_inverse_movement(self):
n = 10
for pos in self.cubic_positions:
self.assertTupleEqual(pos, cubic_n_moves(cubic_north, n,
*cubic_n_moves(cubic_south, n, *pos)))
def test_axial_n_inverse_movement(self):
n = 10
for pos in self.axial_positions:
self.assertTupleEqual(pos, axial_n_moves(axial_north, n,
*axial_n_moves(axial_south, n, *pos)))
def test_cubic_validation(self):
for pos in self.cubic_positions:
self.assertTrue(is_valid_cubic_coord(*pos))
| 40.238806
| 79
| 0.642804
| 312
| 2,696
| 5.285256
| 0.157051
| 0.230443
| 0.251061
| 0.22074
| 0.580958
| 0.23772
| 0.221953
| 0.181928
| 0.158884
| 0.158884
| 0
| 0.007948
| 0.253338
| 2,696
| 66
| 80
| 40.848485
| 0.811227
| 0
| 0
| 0.163265
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.408163
| 1
| 0.163265
| false
| 0.020408
| 0.040816
| 0
| 0.22449
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
82d56627eeab3ffbe585d54cc8f75f3c576e1b38
| 953
|
py
|
Python
|
Products/CMFDefault/browser/membership/tests/test_password.py
|
zopefoundation/Products.CMFDefault
|
a176d9aac5a7e04725dbd0f7b76c6ac357062139
|
[
"ZPL-2.1"
] | null | null | null |
Products/CMFDefault/browser/membership/tests/test_password.py
|
zopefoundation/Products.CMFDefault
|
a176d9aac5a7e04725dbd0f7b76c6ac357062139
|
[
"ZPL-2.1"
] | 5
|
2017-07-13T00:51:25.000Z
|
2021-02-04T15:08:39.000Z
|
Products/CMFDefault/browser/membership/tests/test_password.py
|
zopefoundation/Products.CMFDefault
|
a176d9aac5a7e04725dbd0f7b76c6ac357062139
|
[
"ZPL-2.1"
] | 3
|
2017-07-08T03:22:35.000Z
|
2018-05-20T06:42:03.000Z
|
##############################################################################
#
# Copyright (c) 2010 Zope Foundation and Contributors.
#
# This software is subject to the provisions of the Zope Public License,
# Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution.
# THIS SOFTWARE IS PROVIDED "AS IS" AND ANY AND ALL EXPRESS OR IMPLIED
# WARRANTIES ARE DISCLAIMED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
# WARRANTIES OF TITLE, MERCHANTABILITY, AGAINST INFRINGEMENT, AND FITNESS
# FOR A PARTICULAR PURPOSE.
#
##############################################################################
""" Test Products.CMFDefault.browser.password
"""
import unittest
from Testing import ZopeTestCase
from Products.CMFDefault.testing import FunctionalLayer
ftest_suite = ZopeTestCase.FunctionalDocFileSuite('password.txt')
ftest_suite.layer = FunctionalLayer
def test_suite():
return unittest.TestSuite((
ftest_suite,
))
| 32.862069
| 78
| 0.644281
| 102
| 953
| 5.980392
| 0.656863
| 0.04918
| 0.045902
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007255
| 0.132214
| 953
| 28
| 79
| 34.035714
| 0.730351
| 0.500525
| 0
| 0
| 0
| 0
| 0.039604
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.111111
| false
| 0.111111
| 0.333333
| 0.111111
| 0.555556
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
|
0
| 4
|
7d5a78f6c67bd1f330633bff6ded50e2ddfe0ba1
| 116
|
py
|
Python
|
Chapter 4, Working with lists/Dimensions.py
|
EdgarCastillo101/Crash-Course-Python-2nd-edition
|
484c9096076c0ba69b1b9d78c6c974064fc1eda3
|
[
"MIT"
] | null | null | null |
Chapter 4, Working with lists/Dimensions.py
|
EdgarCastillo101/Crash-Course-Python-2nd-edition
|
484c9096076c0ba69b1b9d78c6c974064fc1eda3
|
[
"MIT"
] | null | null | null |
Chapter 4, Working with lists/Dimensions.py
|
EdgarCastillo101/Crash-Course-Python-2nd-edition
|
484c9096076c0ba69b1b9d78c6c974064fc1eda3
|
[
"MIT"
] | null | null | null |
dimensions = (200, 50)
print(dimensions[0])
print(dimensions[1])
for dimension in dimensions:
print(dimension)
| 16.571429
| 28
| 0.732759
| 15
| 116
| 5.666667
| 0.6
| 0.352941
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.07
| 0.137931
| 116
| 6
| 29
| 19.333333
| 0.78
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.6
| 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
| 0
| 1
|
0
| 4
|
7d6c22baeb76c6b284171db438291f9c73274cbd
| 158
|
py
|
Python
|
tests/web_platform/css_grid_1/placement/test_grid_layout_grid_span.py
|
fletchgraham/colosseum
|
77be4896ee52b8f5956a3d77b5f2ccd2c8608e8f
|
[
"BSD-3-Clause"
] | null | null | null |
tests/web_platform/css_grid_1/placement/test_grid_layout_grid_span.py
|
fletchgraham/colosseum
|
77be4896ee52b8f5956a3d77b5f2ccd2c8608e8f
|
[
"BSD-3-Clause"
] | null | null | null |
tests/web_platform/css_grid_1/placement/test_grid_layout_grid_span.py
|
fletchgraham/colosseum
|
77be4896ee52b8f5956a3d77b5f2ccd2c8608e8f
|
[
"BSD-3-Clause"
] | 1
|
2020-01-16T01:56:41.000Z
|
2020-01-16T01:56:41.000Z
|
from tests.utils import W3CTestCase
class TestGridLayoutGridSpan(W3CTestCase):
vars().update(W3CTestCase.find_tests(__file__, 'grid-layout-grid-span'))
| 26.333333
| 76
| 0.797468
| 18
| 158
| 6.722222
| 0.777778
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.020833
| 0.088608
| 158
| 5
| 77
| 31.6
| 0.819444
| 0
| 0
| 0
| 0
| 0
| 0.133758
| 0.133758
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 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
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
7d729d85a98251daea415fb32ab2c34067197ac1
| 47
|
py
|
Python
|
gunmel/__init__.py
|
zhenkai/xgunicorn
|
33fc122fdc9435ba0b6562186d3c86d983eb992a
|
[
"Apache-2.0"
] | null | null | null |
gunmel/__init__.py
|
zhenkai/xgunicorn
|
33fc122fdc9435ba0b6562186d3c86d983eb992a
|
[
"Apache-2.0"
] | null | null | null |
gunmel/__init__.py
|
zhenkai/xgunicorn
|
33fc122fdc9435ba0b6562186d3c86d983eb992a
|
[
"Apache-2.0"
] | 1
|
2020-03-03T04:04:56.000Z
|
2020-03-03T04:04:56.000Z
|
default_app_config = 'gunmel.apps.GunmelConfig'
| 47
| 47
| 0.851064
| 6
| 47
| 6.333333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.042553
| 47
| 1
| 47
| 47
| 0.844444
| 0
| 0
| 0
| 0
| 0
| 0.5
| 0.5
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
7d94251483a50c8aa6ab8c10c219bd54c68dc27e
| 130
|
py
|
Python
|
my_test.py
|
CT-assignments-S20-E/farm-problem-natanbrook
|
230b113a674a5af0c0fea60b790ea39ae1fef131
|
[
"Apache-2.0"
] | null | null | null |
my_test.py
|
CT-assignments-S20-E/farm-problem-natanbrook
|
230b113a674a5af0c0fea60b790ea39ae1fef131
|
[
"Apache-2.0"
] | null | null | null |
my_test.py
|
CT-assignments-S20-E/farm-problem-natanbrook
|
230b113a674a5af0c0fea60b790ea39ae1fef131
|
[
"Apache-2.0"
] | 1
|
2020-05-28T14:46:21.000Z
|
2020-05-28T14:46:21.000Z
|
from my_code import legs
def test_inc():
assert 20 == legs(2,2,2)
assert 34 == legs(5,2,4)
assert 22 == legs(1,3,2)
| 16.25
| 28
| 0.592308
| 26
| 130
| 2.884615
| 0.653846
| 0.053333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.153061
| 0.246154
| 130
| 7
| 29
| 18.571429
| 0.612245
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.6
| 1
| 0.2
| true
| 0
| 0.2
| 0
| 0.4
| 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
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
7db3d422b2d20a3a1284dae52404eb114c7e72c3
| 62
|
py
|
Python
|
lmtuners/models/__init__.py
|
shoarora/polytune
|
86f31ba3f41ea47edcfa0442a29a79a2a46deaeb
|
[
"MIT"
] | 2
|
2020-09-17T10:12:36.000Z
|
2020-11-22T16:34:08.000Z
|
lmtuners/models/__init__.py
|
shoarora/polytune
|
86f31ba3f41ea47edcfa0442a29a79a2a46deaeb
|
[
"MIT"
] | null | null | null |
lmtuners/models/__init__.py
|
shoarora/polytune
|
86f31ba3f41ea47edcfa0442a29a79a2a46deaeb
|
[
"MIT"
] | null | null | null |
from .albert import AlbertForTokenClassification # noqa: 401
| 31
| 61
| 0.822581
| 6
| 62
| 8.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.055556
| 0.129032
| 62
| 1
| 62
| 62
| 0.888889
| 0.145161
| 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
|
7dd8a6371d1d52668aaf08043b62f34886f3abaf
| 134
|
py
|
Python
|
iioy/movies/external/data_sources/__init__.py
|
tizz98/iioy-v4
|
64d12fafb3c758f8291c6f577aba203932c44cbd
|
[
"MIT"
] | null | null | null |
iioy/movies/external/data_sources/__init__.py
|
tizz98/iioy-v4
|
64d12fafb3c758f8291c6f577aba203932c44cbd
|
[
"MIT"
] | 2
|
2020-06-05T18:23:54.000Z
|
2021-03-19T22:02:23.000Z
|
iioy/movies/external/data_sources/__init__.py
|
tizz98/iioy-v4
|
64d12fafb3c758f8291c6f577aba203932c44cbd
|
[
"MIT"
] | null | null | null |
# flake8: noqa
from .tmdb import (
TmdbMovieAdapter,
TmdbMovieCastAdapter,
TmdbMovieListAdapter,
TmdbPersonAdapter,
)
| 16.75
| 25
| 0.723881
| 9
| 134
| 10.777778
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.009434
| 0.208955
| 134
| 7
| 26
| 19.142857
| 0.90566
| 0.089552
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.166667
| 0
| 0.166667
| 0
| 1
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
7dd8de4089dd9251588b49f9d3dfa7d324619338
| 164
|
py
|
Python
|
data/wind/wind.py
|
QUANTAXIS/quant
|
d3b76799b20cac7a876fbdeb6f97c48295dde06f
|
[
"MIT"
] | null | null | null |
data/wind/wind.py
|
QUANTAXIS/quant
|
d3b76799b20cac7a876fbdeb6f97c48295dde06f
|
[
"MIT"
] | null | null | null |
data/wind/wind.py
|
QUANTAXIS/quant
|
d3b76799b20cac7a876fbdeb6f97c48295dde06f
|
[
"MIT"
] | 1
|
2021-04-10T07:10:42.000Z
|
2021-04-10T07:10:42.000Z
|
from WindPy import *
w.start()
from datetime import datetime
#前复权：复权后价格=[(复权前价格-现金红利)+配(新)股价格×流通股份变动比例]÷(1+流通股份变动比例)
#后复权：复权后价格=复权前价格×(1+流通股份变动比例)+现金红利
import talib
| 27.333333
| 55
| 0.756098
| 30
| 164
| 4.233333
| 0.633333
| 0.15748
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.013158
| 0.073171
| 164
| 6
| 56
| 27.333333
| 0.802632
| 0.530488
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.75
| 0
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
817c38b3b2acfbd538ca61f855a6810f414983b1
| 917
|
py
|
Python
|
editor_api/database/output/aquifer.py
|
jphuart/swatplus-automatic-workflow
|
dd2eeb7f882eb2d4ab7e1e5265c10b9beb93ddc4
|
[
"MIT"
] | 8
|
2020-06-28T07:50:29.000Z
|
2022-01-05T16:29:48.000Z
|
editor_api/database/output/aquifer.py
|
jphuart/swatplus-automatic-workflow
|
dd2eeb7f882eb2d4ab7e1e5265c10b9beb93ddc4
|
[
"MIT"
] | null | null | null |
editor_api/database/output/aquifer.py
|
jphuart/swatplus-automatic-workflow
|
dd2eeb7f882eb2d4ab7e1e5265c10b9beb93ddc4
|
[
"MIT"
] | 5
|
2020-06-28T07:50:31.000Z
|
2021-08-16T07:09:59.000Z
|
from peewee import *
from .base import OutputBase
class Aquifer(OutputBase):
flo = DoubleField(null=True)
stor = DoubleField(null=True)
rchrg = DoubleField(null=True)
seep = DoubleField(null=True)
revap = DoubleField(null=True)
dep_wt = DoubleField(null=True)
no3_st = DoubleField(null=True)
min = DoubleField(null=True)
orgn = DoubleField(null=True)
orgp = DoubleField(null=True)
rchrgn = DoubleField(null=True)
nloss = DoubleField(null=True)
no3gw = DoubleField(null=True)
seepno3 = DoubleField(null=True)
flo_cha = DoubleField(null=True)
flo_res = DoubleField(null=True)
flo_ls = DoubleField(null=True)
class Basin_aqu_day(Aquifer):
pass
class Basin_aqu_mon(Aquifer):
pass
class Basin_aqu_yr(Aquifer):
pass
class Basin_aqu_aa(Aquifer):
pass
class Aquifer_day(Aquifer):
pass
class Aquifer_mon(Aquifer):
pass
class Aquifer_yr(Aquifer):
pass
class Aquifer_aa(Aquifer):
pass
| 16.672727
| 33
| 0.754635
| 127
| 917
| 5.314961
| 0.283465
| 0.377778
| 0.478519
| 0.136296
| 0.106667
| 0
| 0
| 0
| 0
| 0
| 0
| 0.003802
| 0.139586
| 917
| 54
| 34
| 16.981481
| 0.851711
| 0
| 0
| 0.222222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.222222
| 0.055556
| 0
| 0.777778
| 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
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
81828806966f4f5e182b92f3a3c4e469b4cc7662
| 306
|
py
|
Python
|
problems/dividenconquer/Solution240.py
|
akalu/cs-problems-python
|
9b1bd8e3932be62135a38a77f955ded9a766b654
|
[
"MIT"
] | null | null | null |
problems/dividenconquer/Solution240.py
|
akalu/cs-problems-python
|
9b1bd8e3932be62135a38a77f955ded9a766b654
|
[
"MIT"
] | null | null | null |
problems/dividenconquer/Solution240.py
|
akalu/cs-problems-python
|
9b1bd8e3932be62135a38a77f955ded9a766b654
|
[
"MIT"
] | null | null | null |
""" Write an efficient algorithm that searches for a value in an m x n matrix.
This matrix has the following properties:
Integers in each row are sorted in ascending from left to right. Integers in
each column are sorted in ascending from top to bottom.
"""
class Solution240:
pass
| 27.818182
| 80
| 0.722222
| 48
| 306
| 4.604167
| 0.729167
| 0.090498
| 0.126697
| 0.180995
| 0.217195
| 0
| 0
| 0
| 0
| 0
| 0
| 0.012931
| 0.24183
| 306
| 10
| 81
| 30.6
| 0.939655
| 0.816993
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.5
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| null | 0
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| 0
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| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
81988d660e9694fc9b4a2171b2b15e0828c2e1e6
| 206
|
py
|
Python
|
gans/utils/data_utils.py
|
tlatkowski/gans-2.0
|
974efc5bbcea39c0a7dec9405ba4514ada6dc39c
|
[
"MIT"
] | 78
|
2019-09-25T15:09:18.000Z
|
2022-02-09T09:56:15.000Z
|
gans/utils/data_utils.py
|
tlatkowski/gans-2.0
|
974efc5bbcea39c0a7dec9405ba4514ada6dc39c
|
[
"MIT"
] | 23
|
2019-10-09T21:24:39.000Z
|
2022-03-12T00:00:53.000Z
|
gans/utils/data_utils.py
|
tlatkowski/gans-2.0
|
974efc5bbcea39c0a7dec9405ba4514ada6dc39c
|
[
"MIT"
] | 18
|
2020-01-24T13:13:57.000Z
|
2022-02-15T18:58:12.000Z
|
def normalize_inputs(data):
"""
Normalizes the inputs to [-1, 1]
:param data: input data array
:return: normalized data to [-1, 1]
"""
data = (data - 127.5) / 127.5
return data
| 20.6
| 39
| 0.57767
| 29
| 206
| 4.068966
| 0.517241
| 0.050847
| 0.067797
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.081633
| 0.286408
| 206
| 9
| 40
| 22.888889
| 0.721088
| 0.480583
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
81db3652bf57d9462b69f466dc7642f0e7f66cf5
| 4,602
|
py
|
Python
|
samples/client/petstore/python-experimental/petstore_api/models/__init__.py
|
tek08/openapi-generator
|
5d14b46a5e305b8f1c541b1d6d96751f0626e363
|
[
"Apache-2.0"
] | null | null | null |
samples/client/petstore/python-experimental/petstore_api/models/__init__.py
|
tek08/openapi-generator
|
5d14b46a5e305b8f1c541b1d6d96751f0626e363
|
[
"Apache-2.0"
] | null | null | null |
samples/client/petstore/python-experimental/petstore_api/models/__init__.py
|
tek08/openapi-generator
|
5d14b46a5e305b8f1c541b1d6d96751f0626e363
|
[
"Apache-2.0"
] | null | null | null |
# coding: utf-8
# flake8: noqa
<<<<<<< HEAD
# import all models into this package
# if you have many models here with many references from one model to another this may
# raise a RecursionError
# to avoid this, import only the models that you directly need like:
# from from petstore_api.model.pet import Pet
# or import this package, but before doing it, use:
# import sys
# sys.setrecursionlimit(n)
from petstore_api.model.additional_properties_any_type import AdditionalPropertiesAnyType
from petstore_api.model.additional_properties_array import AdditionalPropertiesArray
from petstore_api.model.additional_properties_boolean import AdditionalPropertiesBoolean
from petstore_api.model.additional_properties_class import AdditionalPropertiesClass
from petstore_api.model.additional_properties_integer import AdditionalPropertiesInteger
from petstore_api.model.additional_properties_number import AdditionalPropertiesNumber
from petstore_api.model.additional_properties_object import AdditionalPropertiesObject
from petstore_api.model.additional_properties_string import AdditionalPropertiesString
from petstore_api.model.animal import Animal
from petstore_api.model.animal_farm import AnimalFarm
from petstore_api.model.api_response import ApiResponse
from petstore_api.model.array_of_array_of_number_only import ArrayOfArrayOfNumberOnly
from petstore_api.model.array_of_number_only import ArrayOfNumberOnly
from petstore_api.model.array_test import ArrayTest
from petstore_api.model.capitalization import Capitalization
from petstore_api.model.cat import Cat
from petstore_api.model.cat_all_of import CatAllOf
from petstore_api.model.category import Category
from petstore_api.model.child import Child
from petstore_api.model.child_all_of import ChildAllOf
from petstore_api.model.child_cat import ChildCat
from petstore_api.model.child_cat_all_of import ChildCatAllOf
from petstore_api.model.child_dog import ChildDog
from petstore_api.model.child_dog_all_of import ChildDogAllOf
from petstore_api.model.child_lizard import ChildLizard
from petstore_api.model.child_lizard_all_of import ChildLizardAllOf
from petstore_api.model.class_model import ClassModel
from petstore_api.model.client import Client
from petstore_api.model.dog import Dog
from petstore_api.model.dog_all_of import DogAllOf
from petstore_api.model.enum_arrays import EnumArrays
from petstore_api.model.enum_class import EnumClass
from petstore_api.model.enum_test import EnumTest
from petstore_api.model.file import File
from petstore_api.model.file_schema_test_class import FileSchemaTestClass
from petstore_api.model.format_test import FormatTest
from petstore_api.model.grandparent import Grandparent
from petstore_api.model.grandparent_animal import GrandparentAnimal
from petstore_api.model.has_only_read_only import HasOnlyReadOnly
from petstore_api.model.list import List
from petstore_api.model.map_test import MapTest
from petstore_api.model.mixed_properties_and_additional_properties_class import MixedPropertiesAndAdditionalPropertiesClass
from petstore_api.model.model200_response import Model200Response
from petstore_api.model.model_return import ModelReturn
from petstore_api.model.name import Name
from petstore_api.model.number_only import NumberOnly
from petstore_api.model.order import Order
from petstore_api.model.outer_composite import OuterComposite
from petstore_api.model.outer_enum import OuterEnum
from petstore_api.model.outer_number import OuterNumber
from petstore_api.model.parent import Parent
from petstore_api.model.parent_all_of import ParentAllOf
from petstore_api.model.parent_pet import ParentPet
from petstore_api.model.pet import Pet
from petstore_api.model.player import Player
from petstore_api.model.read_only_first import ReadOnlyFirst
from petstore_api.model.special_model_name import SpecialModelName
from petstore_api.model.string_boolean_map import StringBooleanMap
from petstore_api.model.tag import Tag
from petstore_api.model.type_holder_default import TypeHolderDefault
from petstore_api.model.type_holder_example import TypeHolderExample
from petstore_api.model.user import User
from petstore_api.model.xml_item import XmlItem
=======
"""
OpenAPI Petstore
This spec is mainly for testing Petstore server and contains fake endpoints, models. Please do not use this for any other purpose. Special characters: \" \\ # noqa: E501
The version of the OpenAPI document: 1.0.0
Generated by: https://openapi-generator.tech
"""
# we can not import model classes here because that would create a circular
# reference which would not work in python2
>>>>>>> ooof
| 50.021739
| 174
| 0.867232
| 654
| 4,602
| 5.876147
| 0.281346
| 0.199844
| 0.249805
| 0.333073
| 0.32917
| 0.174863
| 0.016654
| 0
| 0
| 0
| 0
| 0.003582
| 0.089961
| 4,602
| 91
| 175
| 50.571429
| 0.91404
| 0.104954
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.954545
| null | null | 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
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
81e3bbb4ae6386583c41a13ddddbfd94118b0e75
| 171
|
py
|
Python
|
Business_Coaching_Platform/dedicated_page/forms.py
|
SDOS2020/Team_1_Business_Coaching_Platform
|
0b61f67ce3158cf727d3570daf60bff1b0417360
|
[
"MIT"
] | null | null | null |
Business_Coaching_Platform/dedicated_page/forms.py
|
SDOS2020/Team_1_Business_Coaching_Platform
|
0b61f67ce3158cf727d3570daf60bff1b0417360
|
[
"MIT"
] | 30
|
2020-11-23T22:09:51.000Z
|
2020-12-21T21:55:04.000Z
|
Business_Coaching_Platform/dedicated_page/forms.py
|
SDOS2020/Team_1_Business_Coaching_Platform
|
0b61f67ce3158cf727d3570daf60bff1b0417360
|
[
"MIT"
] | null | null | null |
from django import forms
from .models import Post
class customForm(forms.Form):
content = forms.CharField(required=False)
pk = forms.IntegerField(required=False)
| 24.428571
| 45
| 0.766082
| 22
| 171
| 5.954545
| 0.681818
| 0.198473
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.146199
| 171
| 6
| 46
| 28.5
| 0.89726
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.4
| 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
|
c49d9e427ad4cce7a6f8fba4fac50d65a3820781
| 168
|
py
|
Python
|
reddit2telegram/channels/~inactive/r_hermitcraft/app.py
|
CaringCat/reddit2telegram
|
aa3195d9964dfe0f5d822b37a41d567d1af423b7
|
[
"MIT"
] | 187
|
2016-09-20T09:15:54.000Z
|
2022-03-29T12:22:33.000Z
|
reddit2telegram/channels/~inactive/r_hermitcraft/app.py
|
CaringCat/reddit2telegram
|
aa3195d9964dfe0f5d822b37a41d567d1af423b7
|
[
"MIT"
] | 84
|
2016-09-22T14:25:07.000Z
|
2022-03-19T01:26:17.000Z
|
reddit2telegram/channels/~inactive/r_hermitcraft/app.py
|
CaringCat/reddit2telegram
|
aa3195d9964dfe0f5d822b37a41d567d1af423b7
|
[
"MIT"
] | 172
|
2016-09-21T15:39:39.000Z
|
2022-03-16T15:15:58.000Z
|
#encoding:utf-8
subreddit = 'HermitCraft'
t_channel = '@r_HermitCraft'
def send_post(submission, r2t):
return r2t.send_simple(submission, min_upvotes_limit=100)
| 18.666667
| 61
| 0.767857
| 23
| 168
| 5.347826
| 0.826087
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.040541
| 0.119048
| 168
| 8
| 62
| 21
| 0.790541
| 0.083333
| 0
| 0
| 0
| 0
| 0.163399
| 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
|
c4bded62f8176ca710884248045625ece952f747
| 731
|
py
|
Python
|
utils/graphql/scalars.py
|
getmetamapper/metamapper
|
0b2f67eec03fbf7ece35ff9f58ea9bb2dde4d85f
|
[
"BSD-2-Clause"
] | 53
|
2020-07-01T23:11:59.000Z
|
2022-03-31T19:10:28.000Z
|
utils/graphql/scalars.py
|
metamapper-io/metamapper
|
376716e72bcaca62f1ec09ca9a13a0346e5502f9
|
[
"BSD-2-Clause"
] | 5
|
2020-11-25T19:48:57.000Z
|
2022-02-27T23:50:18.000Z
|
utils/graphql/scalars.py
|
metamapper-io/metamapper
|
376716e72bcaca62f1ec09ca9a13a0346e5502f9
|
[
"BSD-2-Clause"
] | 5
|
2020-08-29T16:43:59.000Z
|
2022-01-17T19:05:30.000Z
|
# -*- coding: utf-8 -*-
import graphene
class Upload(graphene.types.Scalar):
"""Create scalar that ignores normal serialization/deserialization, since
that will be handled by the multipart request spec"""
@staticmethod
def serialize(value):
return value
@staticmethod
def parse_literal(node):
return node
@staticmethod
def parse_value(value):
return value
class JSONObject(graphene.types.Scalar):
"""Handle serialization/deserialization of a JSON object.
"""
@staticmethod
def serialize(value):
return value
@staticmethod
def parse_literal(node):
return node
@staticmethod
def parse_value(value):
return value
| 20.305556
| 77
| 0.666211
| 79
| 731
| 6.113924
| 0.481013
| 0.186335
| 0.132505
| 0.120083
| 0.505176
| 0.505176
| 0.505176
| 0.505176
| 0.505176
| 0.505176
| 0
| 0.001832
| 0.253078
| 731
| 35
| 78
| 20.885714
| 0.882784
| 0.27907
| 0
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.285714
| false
| 0
| 0.047619
| 0.285714
| 0.714286
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
c4d81ddbca265a219fed65029e926604be03fcbc
| 195
|
py
|
Python
|
pythonCore/ch04/E06.py
|
Furzoom/learnpython
|
a3034584e481d4e7c55912d9da06439688aa67ea
|
[
"MIT"
] | null | null | null |
pythonCore/ch04/E06.py
|
Furzoom/learnpython
|
a3034584e481d4e7c55912d9da06439688aa67ea
|
[
"MIT"
] | null | null | null |
pythonCore/ch04/E06.py
|
Furzoom/learnpython
|
a3034584e481d4e7c55912d9da06439688aa67ea
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# type(a) == type(b) - whether value of type(a) is equivalent to value of type(b)
# type(a) is type(b) - whether type(a) and type(b) have same type
| 32.5
| 81
| 0.635897
| 37
| 195
| 3.351351
| 0.513514
| 0.16129
| 0.193548
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.00625
| 0.179487
| 195
| 5
| 82
| 39
| 0.76875
| 0.953846
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 0
| 0
| 0
| null | 0
| 1
| 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
|
c4e33e361b16e0a3f92ccdc928d57e2b186120bb
| 1,299
|
py
|
Python
|
src/winforms/toga_winforms/widgets/tree.py
|
luizoti/toga
|
3c49e685f325f1aba2ce048b253402d7e4519f97
|
[
"BSD-3-Clause"
] | 1,261
|
2019-03-31T16:28:47.000Z
|
2022-03-31T09:01:23.000Z
|
src/winforms/toga_winforms/widgets/tree.py
|
luizoti/toga
|
3c49e685f325f1aba2ce048b253402d7e4519f97
|
[
"BSD-3-Clause"
] | 597
|
2019-04-02T20:02:42.000Z
|
2022-03-30T10:28:47.000Z
|
src/winforms/toga_winforms/widgets/tree.py
|
luizoti/toga
|
3c49e685f325f1aba2ce048b253402d7e4519f97
|
[
"BSD-3-Clause"
] | 318
|
2019-03-31T18:32:00.000Z
|
2022-03-30T18:07:13.000Z
|
from toga_winforms.libs import WinForms
from .base import Widget
class Tree(Widget):
def create(self):
self.native = WinForms.TreeView()
def row_data(self, item):
self.interface.factory.not_implemented('Tree.row_data()')
def on_select(self, selection):
self.interface.factory.not_implemented('Tree.on_select()')
def change_source(self, source):
self.interface.factory.not_implemented('Tree.change_source()')
def insert(self, parent, index, item):
self.interface.factory.not_implemented('Tree.insert()')
def change(self, item):
self.interface.factory.not_implemented('Tree.change()')
def remove(self, parent, index, item):
self.interface.factory.not_implemented('Tree.remove()')
def clear(self):
self.interface.factory.not_implemented('Tree.clear()')
def get_selection(self):
self.interface.factory.not_implemented('Tree.get_selection()')
def set_on_select(self, handler):
self.interface.factory.not_implemented('Tree.set_on_select()')
def set_on_double_click(self, handler):
self.interface.factory.not_implemented('Table.set_on_double_click()')
def scroll_to_node(self, node):
self.interface.factory.not_implemented('Tree.scroll_to_node()')
| 30.928571
| 77
| 0.701309
| 165
| 1,299
| 5.315152
| 0.242424
| 0.163056
| 0.250855
| 0.288483
| 0.581528
| 0.581528
| 0.490308
| 0.234892
| 0.129989
| 0.129989
| 0
| 0
| 0.168591
| 1,299
| 41
| 78
| 31.682927
| 0.812037
| 0
| 0
| 0
| 0
| 0
| 0.146266
| 0.036952
| 0
| 0
| 0
| 0
| 0
| 1
| 0.444444
| false
| 0
| 0.074074
| 0
| 0.555556
| 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
|
c4f61f81576f1be30cdfe8969732ef2af9dcec32
| 125
|
py
|
Python
|
multithread.py
|
kgh-85/werkzeug
|
0e6f5ef25552ed0a4e800de4395d780a202d2053
|
[
"Apache-2.0"
] | 1
|
2022-01-12T06:58:37.000Z
|
2022-01-12T06:58:37.000Z
|
multithread.py
|
kgh-85/werkzeug
|
0e6f5ef25552ed0a4e800de4395d780a202d2053
|
[
"Apache-2.0"
] | null | null | null |
multithread.py
|
kgh-85/werkzeug
|
0e6f5ef25552ed0a4e800de4395d780a202d2053
|
[
"Apache-2.0"
] | 1
|
2022-01-11T15:12:01.000Z
|
2022-01-11T15:12:01.000Z
|
from multiprocessing import Pool, cpu_count
def myFunction(func, data):
p = Pool(cpu_count())
p.map(func, data)
| 12.5
| 43
| 0.68
| 18
| 125
| 4.611111
| 0.666667
| 0.168675
| 0.289157
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.208
| 125
| 9
| 44
| 13.888889
| 0.838384
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
c4fbb098a998345d64b84f320c746617f09de9cf
| 5,705
|
py
|
Python
|
seleniumbase/translate/japanese.py
|
kawarada-san/SeleniumBase
|
8e601717fdef0814aae01c6411ea0e1fb114a269
|
[
"MIT"
] | null | null | null |
seleniumbase/translate/japanese.py
|
kawarada-san/SeleniumBase
|
8e601717fdef0814aae01c6411ea0e1fb114a269
|
[
"MIT"
] | null | null | null |
seleniumbase/translate/japanese.py
|
kawarada-san/SeleniumBase
|
8e601717fdef0814aae01c6411ea0e1fb114a269
|
[
"MIT"
] | null | null | null |
# Japanese Language Translations - Python 3 Only!
from seleniumbase import BaseCase
class セレンテストケース(BaseCase): # noqa
def URLを開く(self, *args, **kwargs):
# open(url)
self.open(*args, **kwargs)
def クリックして(self, *args, **kwargs):
# click(selector)
self.click(*args, **kwargs)
def ダブルクリックして(self, *args, **kwargs):
# double_click(selector)
self.double_click(*args, **kwargs)
def ゆっくりクリックして(self, *args, **kwargs):
# slow_click(selector)
self.slow_click(*args, **kwargs)
def リンクテキストをクリックします(self, *args, **kwargs):
# click_link_text(link_text)
self.click_link_text(*args, **kwargs)
def テキストを更新(self, *args, **kwargs):
# update_text(selector, new_value)
self.update_text(*args, **kwargs)
def テキストを追加(self, *args, **kwargs):
# add_text(selector, new_value)
self.add_text(*args, **kwargs)
def テキストを取得(self, *args, **kwargs):
# get_text(selector, new_value)
self.get_text(*args, **kwargs)
def テキストを確認する(self, *args, **kwargs):
# assert_text(text, selector)
self.assert_text(*args, **kwargs)
def 正確なテキストを確認する(self, *args, **kwargs):
# assert_exact_text(text, selector)
self.assert_exact_text(*args, **kwargs)
def 要素を確認する(self, *args, **kwargs):
# assert_element(selector)
self.assert_element(*args, **kwargs)
def タイトルを確認(self, *args, **kwargs):
# assert_title(title)
self.assert_title(*args, **kwargs)
def 検証が正しい(self, *args, **kwargs):
# assert_true(expr)
self.assert_true(*args, **kwargs)
def 検証は偽です(self, *args, **kwargs):
# assert_false(expr)
self.assert_false(*args, **kwargs)
def 検証が等しい(self, *args, **kwargs):
# assert_equal(first, second)
self.assert_equal(*args, **kwargs)
def 検証が等しくない(self, *args, **kwargs):
# assert_not_equal(first, second)
self.assert_not_equal(*args, **kwargs)
def ページを更新する(self, *args, **kwargs):
# refresh_page()
self.refresh_page(*args, **kwargs)
def 現在のURLを取得(self, *args, **kwargs):
# get_current_url()
self.get_current_url(*args, **kwargs)
def ページのソースコードを取得する(self, *args, **kwargs):
# get_page_source()
self.get_page_source(*args, **kwargs)
def 戻る(self, *args, **kwargs):
# go_back()
self.go_back(*args, **kwargs)
def 進む(self, *args, **kwargs):
# go_forward()
self.go_forward(*args, **kwargs)
def テキストが表示されています(self, *args, **kwargs):
# is_text_visible(text, selector="html")
self.is_text_visible(*args, **kwargs)
def 要素は表示されますか(self, *args, **kwargs):
# is_element_visible(selector)
self.is_element_visible(*args, **kwargs)
def 要素が存在するかどうか(self, *args, **kwargs):
# is_element_present(selector)
self.is_element_present(*args, **kwargs)
def テキストを待つ(self, *args, **kwargs):
# wait_for_text(text, selector)
self.wait_for_text(*args, **kwargs)
def 要素を待つ(self, *args, **kwargs):
# wait_for_element(selector)
self.wait_for_element(*args, **kwargs)
def 眠る(self, *args, **kwargs):
# sleep(seconds)
self.sleep(*args, **kwargs)
def を提出す(self, *args, **kwargs):
# submit(selector)
self.submit(*args, **kwargs)
def JSクリックして(self, *args, **kwargs):
# js_click(selector)
self.js_click(*args, **kwargs)
def htmlをチェック(self, *args, **kwargs):
# inspect_html()
self.inspect_html(*args, **kwargs)
def スクリーンショットを保存(self, *args, **kwargs):
# save_screenshot(name)
self.save_screenshot(*args, **kwargs)
def ファイルを選択(self, *args, **kwargs):
# choose_file(selector, file_path)
self.choose_file(*args, **kwargs)
def スクリプトを実行する(self, *args, **kwargs):
# execute_script(script)
self.execute_script(*args, **kwargs)
def 広告ブロック(self, *args, **kwargs):
# ad_block()
self.ad_block(*args, **kwargs)
def スキップする(self, *args, **kwargs):
# skip(reason="")
self.skip(*args, **kwargs)
def リンク切れを確認する(self, *args, **kwargs):
# assert_no_404_errors()
self.assert_no_404_errors(*args, **kwargs)
def JSエラーを確認する(self, *args, **kwargs):
# assert_no_js_errors()
self.assert_no_js_errors(*args, **kwargs)
def フレームに切り替え(self, *args, **kwargs):
# switch_to_frame(frame)
self.switch_to_frame(*args, **kwargs)
def デフォルトのコンテンツに切り替える(self, *args, **kwargs):
# switch_to_default_content()
self.switch_to_default_content(*args, **kwargs)
def 新しいウィンドウを開く(self, *args, **kwargs):
# open_new_window()
self.open_new_window(*args, **kwargs)
def ウィンドウに切り替え(self, *args, **kwargs):
# switch_to_window(window)
self.switch_to_window(*args, **kwargs)
def デフォルトのウィンドウに切り替える(self, *args, **kwargs):
# switch_to_default_window()
self.switch_to_default_window(*args, **kwargs)
def ハイライト(self, *args, **kwargs):
# highlight(selector)
self.highlight(*args, **kwargs)
def ハイライトしてクリックして(self, *args, **kwargs):
# highlight_click(selector)
self.highlight_click(*args, **kwargs)
def スクロールして(self, *args, **kwargs):
# scroll_to(selector)
self.scroll_to(*args, **kwargs)
def 一番上までスクロール(self, *args, **kwargs):
# scroll_to_top()
self.scroll_to_top(*args, **kwargs)
def 一番下までスクロール(self, *args, **kwargs):
# scroll_to_bottom()
self.scroll_to_bottom(*args, **kwargs)
| 29.407216
| 55
| 0.603681
| 661
| 5,705
| 5.009077
| 0.198185
| 0.283902
| 0.198732
| 0.060405
| 0.143763
| 0.017517
| 0
| 0
| 0
| 0
| 0
| 0.001623
| 0.243996
| 5,705
| 193
| 56
| 29.559585
| 0.766056
| 0.194917
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.104167
| 1
| 0.489583
| false
| 0
| 0.010417
| 0
| 0.510417
| 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
|
1eecbaa9483cb3e261d89a46864b2a0c09bfd108
| 52
|
py
|
Python
|
src/tests/unit/converters/__init__.py
|
wilsonGmn/pyrin
|
25dbe3ce17e80a43eee7cfc7140b4c268a6948e0
|
[
"BSD-3-Clause"
] | null | null | null |
src/tests/unit/converters/__init__.py
|
wilsonGmn/pyrin
|
25dbe3ce17e80a43eee7cfc7140b4c268a6948e0
|
[
"BSD-3-Clause"
] | null | null | null |
src/tests/unit/converters/__init__.py
|
wilsonGmn/pyrin
|
25dbe3ce17e80a43eee7cfc7140b4c268a6948e0
|
[
"BSD-3-Clause"
] | null | null | null |
# -*- coding: utf-8 -*-
"""
converters package.
"""
| 10.4
| 23
| 0.519231
| 5
| 52
| 5.4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.023256
| 0.173077
| 52
| 4
| 24
| 13
| 0.604651
| 0.807692
| 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
|
1efe7e69ae2639862bb59b0c4b8bbabff425c59e
| 1,333
|
py
|
Python
|
examples/all_refs.py
|
wyfo/apimodel
|
99e6b23504e8ca775fda9dfa93c4e350211c1b8a
|
[
"MIT"
] | 118
|
2020-05-24T20:22:27.000Z
|
2022-03-23T23:04:50.000Z
|
examples/all_refs.py
|
wyfo/apimodel
|
99e6b23504e8ca775fda9dfa93c4e350211c1b8a
|
[
"MIT"
] | 89
|
2021-02-26T14:22:41.000Z
|
2022-03-30T22:17:06.000Z
|
examples/all_refs.py
|
wyfo/apimodel
|
99e6b23504e8ca775fda9dfa93c4e350211c1b8a
|
[
"MIT"
] | 13
|
2020-12-24T22:43:50.000Z
|
2022-03-13T15:03:44.000Z
|
from dataclasses import dataclass
from apischema.json_schema import deserialization_schema
@dataclass
class Bar:
baz: str
@dataclass
class Foo:
bar1: Bar
bar2: Bar
assert deserialization_schema(Foo, all_refs=False) == {
"$schema": "http://json-schema.org/draft/2020-12/schema#",
"$defs": {
"Bar": {
"additionalProperties": False,
"properties": {"baz": {"type": "string"}},
"required": ["baz"],
"type": "object",
}
},
"additionalProperties": False,
"properties": {"bar1": {"$ref": "#/$defs/Bar"}, "bar2": {"$ref": "#/$defs/Bar"}},
"required": ["bar1", "bar2"],
"type": "object",
}
assert deserialization_schema(Foo, all_refs=True) == {
"$schema": "http://json-schema.org/draft/2020-12/schema#",
"$defs": {
"Bar": {
"additionalProperties": False,
"properties": {"baz": {"type": "string"}},
"required": ["baz"],
"type": "object",
},
"Foo": {
"additionalProperties": False,
"properties": {
"bar1": {"$ref": "#/$defs/Bar"},
"bar2": {"$ref": "#/$defs/Bar"},
},
"required": ["bar1", "bar2"],
"type": "object",
},
},
"$ref": "#/$defs/Foo",
}
| 25.150943
| 85
| 0.484621
| 115
| 1,333
| 5.565217
| 0.286957
| 0.065625
| 0.21875
| 0.09375
| 0.75625
| 0.75625
| 0.640625
| 0.640625
| 0.640625
| 0.640625
| 0
| 0.023631
| 0.301575
| 1,333
| 52
| 86
| 25.634615
| 0.663802
| 0
| 0
| 0.488889
| 0
| 0
| 0.339085
| 0
| 0
| 0
| 0
| 0
| 0.044444
| 1
| 0
| true
| 0
| 0.044444
| 0
| 0.155556
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
1effcc148875bb56588ce97d11cc6a6fca1e44c6
| 60
|
py
|
Python
|
enthought/pyface/grid/grid_cell_renderer.py
|
enthought/etsproxy
|
4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347
|
[
"BSD-3-Clause"
] | 3
|
2016-12-09T06:05:18.000Z
|
2018-03-01T13:00:29.000Z
|
enthought/pyface/grid/grid_cell_renderer.py
|
enthought/etsproxy
|
4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347
|
[
"BSD-3-Clause"
] | 1
|
2020-12-02T00:51:32.000Z
|
2020-12-02T08:48:55.000Z
|
enthought/pyface/grid/grid_cell_renderer.py
|
enthought/etsproxy
|
4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347
|
[
"BSD-3-Clause"
] | null | null | null |
# proxy module
from pyface.grid.grid_cell_renderer import *
| 20
| 44
| 0.816667
| 9
| 60
| 5.222222
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.116667
| 60
| 2
| 45
| 30
| 0.886792
| 0.2
| 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
|
481dc994f0265de6e62cf6e6f268a16dc7ee3be2
| 184
|
py
|
Python
|
problems/camelcase_method.py
|
stereoabuse/codewars
|
d6437afaef38c3601903891b8b9cb0f84c108c54
|
[
"MIT"
] | null | null | null |
problems/camelcase_method.py
|
stereoabuse/codewars
|
d6437afaef38c3601903891b8b9cb0f84c108c54
|
[
"MIT"
] | null | null | null |
problems/camelcase_method.py
|
stereoabuse/codewars
|
d6437afaef38c3601903891b8b9cb0f84c108c54
|
[
"MIT"
] | null | null | null |
## CamelCase Method
## 6 kyu
## https://www.codewars.com//kata/587731fda577b3d1b0001196
def camel_case(string):
return ''.join([word.title() for word in string.split()])
| 26.285714
| 61
| 0.673913
| 23
| 184
| 5.347826
| 0.913043
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.123377
| 0.163043
| 184
| 7
| 61
| 26.285714
| 0.675325
| 0.434783
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0
| 0
| 0.5
| 1
| 0
| 1
| 0
| 0
| null | 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
|
48267f9674d9e86a273364ef9f1162e51b0f46a0
| 6,909
|
py
|
Python
|
pymove/tests/test_core_pandas_discrete.py
|
JuniorNunes15/PyMove
|
ee5b68282502bfcb9cf38b52dcdefed5bd927a90
|
[
"MIT"
] | 63
|
2019-08-06T14:24:36.000Z
|
2022-03-22T11:11:03.000Z
|
pymove/tests/test_core_pandas_discrete.py
|
JuniorNunes15/PyMove
|
ee5b68282502bfcb9cf38b52dcdefed5bd927a90
|
[
"MIT"
] | 49
|
2019-09-20T14:06:50.000Z
|
2022-03-11T22:13:43.000Z
|
pymove/tests/test_core_pandas_discrete.py
|
JuniorNunes15/PyMove
|
ee5b68282502bfcb9cf38b52dcdefed5bd927a90
|
[
"MIT"
] | 18
|
2019-08-15T18:13:10.000Z
|
2021-11-30T16:26:19.000Z
|
import numpy as np
from pandas.testing import assert_frame_equal
from pymove.core.pandas_discrete import PandasDiscreteMoveDataFrame
from pymove.utils.constants import (
DATETIME,
DIST_TO_PREV,
INDEX_GRID,
LATITUDE,
LOCAL_LABEL,
LONGITUDE,
PREV_LOCAL,
SPEED_TO_PREV,
TID_STAT,
TIME_TO_PREV,
TRAJ_ID,
)
def test_discretize_based_grid():
discrete_df = PandasDiscreteMoveDataFrame(
data={DATETIME: ['2020-01-01 01:08:29',
'2020-01-05 01:13:24',
'2020-01-06 02:21:53',
'2020-01-06 03:34:48',
'2020-01-08 05:55:41'],
LATITUDE: [3.754245,
3.150849,
3.754249,
3.165933,
3.920178],
LONGITUDE: [38.3456743,
38.6913486,
38.3456743,
38.2715962,
38.5161605],
TRAJ_ID: ['pwe-5089',
'xjt-1579',
'tre-1890',
'xjt-1579',
'pwe-5089'],
LOCAL_LABEL: [1, 4, 2, 16, 32]},
)
expected = PandasDiscreteMoveDataFrame(
data={DATETIME: ['2020-01-01 01:08:29',
'2020-01-08 05:55:41',
'2020-01-06 02:21:53',
'2020-01-05 01:13:24',
'2020-01-06 03:34:48'],
LATITUDE: [3.754245,
3.920178,
3.754249,
3.150849,
3.165933],
LONGITUDE: [38.3456743,
38.5161605,
38.3456743,
38.6913486,
38.2715962],
TRAJ_ID: ['pwe-5089',
'pwe-5089',
'tre-1890',
'xjt-1579',
'xjt-1579'],
LOCAL_LABEL: [1, 32, 2, 4, 16],
INDEX_GRID: [754, 2407, 754, 3956, 1]},
)
discrete_df.discretize_based_grid()
assert_frame_equal(discrete_df, expected)
def test_generate_prev_local_features():
discrete_df = PandasDiscreteMoveDataFrame(
data={DATETIME: ['2020-01-01 01:08:29',
'2020-01-01 01:10:29',
'2020-01-01 10:15:00',
'2020-01-05 01:13:24',
'2020-01-06 02:21:53',
],
LATITUDE: [3.754245,
3.150849,
3.754249,
3.165933,
3.920178,
],
LONGITUDE: [38.3456743,
38.6913486,
38.3456743,
38.2715962,
38.5161605,
],
TRAJ_ID: ['pwe-5089',
'pwe-5089',
'pwe-5089',
'pwe-5089',
'pwe-5089',
],
LOCAL_LABEL: [1.0, 2.0, 1.0, 2.0, 1.0]},
)
expected = PandasDiscreteMoveDataFrame(
data={
TRAJ_ID: ['pwe-5089',
'pwe-5089',
'pwe-5089',
'pwe-5089',
'pwe-5089',],
DATETIME: ['2020-01-01 01:08:29',
'2020-01-01 01:10:29',
'2020-01-01 10:15:00',
'2020-01-05 01:13:24',
'2020-01-06 02:21:53',],
LATITUDE: [3.754245,
3.150849,
3.754249,
3.165933,
3.920178,
],
LONGITUDE: [38.3456743,
38.6913486,
38.3456743,
38.2715962,
38.5161605,
],
LOCAL_LABEL: [1.0, 2.0, 1.0, 2.0, 1.0],
PREV_LOCAL: [np.nan, 1.0, 2.0, 1.0, 2.0]},
)
discrete_df.generate_prev_local_features()
assert_frame_equal(discrete_df, expected)
def test_generate_tid_based_statistics():
discrete_df = PandasDiscreteMoveDataFrame(
data={
TRAJ_ID: ['pwe-5089',
'pwe-5089',
'pwe-5089',
'pwe-5089',
'pwe-5089'
],
DATETIME: ['2020-01-01 01:08:29',
'2020-01-01 01:10:29',
'2020-01-01 10:15:00',
'2020-01-05 01:13:24',
'2020-01-06 02:21:53',
],
LATITUDE: [3.754245,
3.150849,
3.754249,
3.165933,
3.920178,
],
LONGITUDE: [38.3456743,
38.6913486,
38.3456743,
38.2715962,
38.5161605
],
LOCAL_LABEL: [1.0, 2.0, 1.0, 2.0, 1.0],
PREV_LOCAL: [np.nan, 1.0, 2.0, 1.0, 2.0]}
)
expected = PandasDiscreteMoveDataFrame(
data={
TRAJ_ID: ['pwe-5089',
'pwe-5089',
'pwe-5089',
'pwe-5089',
'pwe-5089',
],
DATETIME: ['2020-01-01 01:08:29',
'2020-01-01 01:10:29',
'2020-01-01 10:15:00',
'2020-01-05 01:13:24',
'2020-01-06 02:21:53',
],
LATITUDE: [3.754245,
3.150849,
3.754249,
3.165933,
3.920178,
],
LONGITUDE: [38.3456743,
38.6913486,
38.3456743,
38.2715962,
38.5161605,
],
LOCAL_LABEL: [1.0, 2.0, 1.0, 2.0, 1.0],
PREV_LOCAL: [np.nan, 1.0, 2.0, 1.0, 2.0],
DIST_TO_PREV: [np.nan, 77289.911988, 77290.298056,
65932.426141, 88150.855250],
TIME_TO_PREV: [np.nan, 120.0, 32671.0, 313104.0, 90509.0],
SPEED_TO_PREV: [np.nan, 644.082600, 2.365716, 0.210577, 0.973946],
TID_STAT: [1, 1, 1, 1, 1]},
)
discrete_df.generate_tid_based_statistics()
assert_frame_equal(discrete_df, expected)
| 33.538835
| 78
| 0.361992
| 659
| 6,909
| 3.687405
| 0.159332
| 0.074074
| 0.069959
| 0.097942
| 0.69465
| 0.679012
| 0.641975
| 0.641975
| 0.633745
| 0.584362
| 0
| 0.37054
| 0.525402
| 6,909
| 205
| 79
| 33.702439
| 0.37054
| 0
| 0
| 0.714286
| 0
| 0
| 0.117238
| 0
| 0
| 0
| 0
| 0
| 0.021164
| 1
| 0.015873
| false
| 0
| 0.021164
| 0
| 0.037037
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
484e1321817f004c2f06cc3d1d70f41523918835
| 77
|
py
|
Python
|
src/main/python/ui/distribution/__init__.py
|
boom-roasted/ImageWAO
|
944505dab1a7c97b8eae2bf9fb30006d0f471f89
|
[
"MIT"
] | 1
|
2020-03-22T01:52:52.000Z
|
2020-03-22T01:52:52.000Z
|
src/main/python/ui/distribution/__init__.py
|
leftaltkey/ImageWAO
|
944505dab1a7c97b8eae2bf9fb30006d0f471f89
|
[
"MIT"
] | 2
|
2021-06-08T21:12:47.000Z
|
2021-06-08T21:30:32.000Z
|
src/main/python/ui/distribution/__init__.py
|
leftaltkey/ImageWAO
|
944505dab1a7c97b8eae2bf9fb30006d0f471f89
|
[
"MIT"
] | null | null | null |
from .distributionform import DistributionForm
__all__ = [DistributionForm]
| 19.25
| 46
| 0.844156
| 6
| 77
| 10.166667
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.103896
| 77
| 3
| 47
| 25.666667
| 0.884058
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
487964188e1046cce660c12fb7dca469bdd35e11
| 1,693
|
py
|
Python
|
src/main/java/neqsim/util/python/Copy of init.py
|
asmfstatoil/neqsim
|
21b3034b1c51a481c1347eec3b87b641bc56def2
|
[
"Apache-2.0"
] | 28
|
2019-07-27T13:41:28.000Z
|
2022-02-24T08:39:18.000Z
|
src/main/java/neqsim/util/python/Copy of init.py
|
asmfstatoil/neqsim
|
21b3034b1c51a481c1347eec3b87b641bc56def2
|
[
"Apache-2.0"
] | 76
|
2019-05-12T08:26:46.000Z
|
2022-03-29T11:23:44.000Z
|
src/main/java/neqsim/util/python/Copy of init.py
|
asmfstatoil/neqsim
|
21b3034b1c51a481c1347eec3b87b641bc56def2
|
[
"Apache-2.0"
] | 16
|
2019-05-06T09:23:22.000Z
|
2022-03-27T01:48:50.000Z
|
from javax.swing import *
from thermo.system import *
from thermodynamicOperations import *
from processSimulation import *
from processSimulation.processEquipment import *
from processSimulation.processEquipment.stream import *
from processSimulation.processEquipment.mixer import *
from processSimulation.processEquipment.stream import *
from processSimulation.processEquipment.separator import *
from processSimulation.processEquipment.valve import *
from processSimulation.processEquipment.pipeline import *
from processSimulation.processSystem import *
from Numeric import *
from java.sql import *
from java import *
from util.database import *
from visad.python.JPythonMethods import *
#from visad.python import *
#from util.pythonScript.pythonTools.mathTools import *
#from fluidMechanics.geometryDefinitions import *
#from fluidMechanics.flowSystem import *
#
#from fluidMechanics.geometryDefinitions.pipe import *
#from fluidMechanics.flowSystem.twoPhaseFlowSystem.twoPhasePipeFlowSystem import *
#import sys
#sys.path.append('c:\\java\\Thermo_with_Java\\util\\pythonScript\\pythonTools\\mathTools')
#sys.path.append('c:\\java\\Thermo_with_Java\\util\\pythonScript\\pythonTools\\visAdScripts')
#sys.path.append('c:\\java\\jython-2.0\\Lib')
#sys.path.append('c:\\java\\Thermo_with_Java\\util\\pythonScript\\pythonTools\\DataHandeling')
#from NetCDFcreate import *
#from newtonSolver import *
##from util.pythonScript.Even.visAdScripts import *
#from statistics.parameterFitting.nonLinearParameterFitting import *
#from statistics.parameterFitting import *
##from statistics.parameterFitting.nonLinearParameterFitting.thermodynamicParameterFitting.binaryInteractionParameters import *
| 47.027778
| 127
| 0.831069
| 175
| 1,693
| 8.005714
| 0.291429
| 0.192719
| 0.173448
| 0.214847
| 0.357602
| 0.257673
| 0.257673
| 0.257673
| 0.257673
| 0.126338
| 0
| 0.001275
| 0.073243
| 1,693
| 35
| 128
| 48.371429
| 0.891651
| 0.568813
| 0
| 0.117647
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
6fc540bca2e56a0b1c317a5db52a85cf2d3245ee
| 241
|
py
|
Python
|
ganjoor/__init__.py
|
MmeK/ganjoor_api_wrapper
|
b7457ea42efd8a29d5e37868c2db1e6355fcaf54
|
[
"MIT"
] | 1
|
2021-12-09T23:30:17.000Z
|
2021-12-09T23:30:17.000Z
|
ganjoor/__init__.py
|
MmeK/ganjoor_api_wrapper
|
b7457ea42efd8a29d5e37868c2db1e6355fcaf54
|
[
"MIT"
] | 4
|
2021-10-16T18:44:31.000Z
|
2021-11-06T18:46:33.000Z
|
ganjoor/__init__.py
|
MmeK/ganjoor_api_wrapper
|
b7457ea42efd8a29d5e37868c2db1e6355fcaf54
|
[
"MIT"
] | null | null | null |
# Copyright 2021 Mohammad Kazemi <kazemi.me.222@gmail.com>.
# SPDX-License-Identifier: MIT
from .models import (Poet, Poem, Category)
from .ganjoor import Ganjoor
from .config import GANJGAH_BASE_URL
from .exceptions import GanjoorException
| 34.428571
| 59
| 0.804979
| 33
| 241
| 5.818182
| 0.757576
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.03271
| 0.112033
| 241
| 6
| 60
| 40.166667
| 0.864486
| 0.356846
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
6fd9d29c489e5d996cf6d793173a7387ff6cdbfa
| 210
|
py
|
Python
|
master/utils-master/utils-master/.startup.py
|
AlexRogalskiy/DevArtifacts
|
931aabb8cbf27656151c54856eb2ea7d1153203a
|
[
"MIT"
] | 4
|
2018-09-07T15:35:24.000Z
|
2019-03-27T09:48:12.000Z
|
master/utils-master/utils-master/.startup.py
|
AlexRogalskiy/DevArtifacts
|
931aabb8cbf27656151c54856eb2ea7d1153203a
|
[
"MIT"
] | 371
|
2020-03-04T21:51:56.000Z
|
2022-03-31T20:59:11.000Z
|
master/utils-master/utils-master/.startup.py
|
AlexRogalskiy/DevArtifacts
|
931aabb8cbf27656151c54856eb2ea7d1153203a
|
[
"MIT"
] | 3
|
2019-06-18T19:57:17.000Z
|
2020-11-06T03:55:08.000Z
|
# python startup file to toggle autocomplete on.
# e.g. export PYTHONSTARTUPFILE=pythonstartup.py
#
import readline
import rlcompleter
readline.parse_and_bind('tab: complete')
print "Auto complete is enabled"
| 23.333333
| 48
| 0.804762
| 28
| 210
| 5.964286
| 0.892857
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.119048
| 210
| 8
| 49
| 26.25
| 0.902703
| 0.442857
| 0
| 0
| 0
| 0
| 0.327434
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.5
| null | null | 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
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
82f6619313d12666d72c316412a1654c4a856f22
| 229
|
py
|
Python
|
shallow_backup/__init__.py
|
jules-kim/shallow-backup
|
672d71e94e44c09baccdbfa3618ca4eef4930073
|
[
"MIT"
] | null | null | null |
shallow_backup/__init__.py
|
jules-kim/shallow-backup
|
672d71e94e44c09baccdbfa3618ca4eef4930073
|
[
"MIT"
] | null | null | null |
shallow_backup/__init__.py
|
jules-kim/shallow-backup
|
672d71e94e44c09baccdbfa3618ca4eef4930073
|
[
"MIT"
] | null | null | null |
__all__ = ['config', 'utils', 'git_wrapper', 'reinstall', 'constants', 'backup', 'printing', 'prompts']
import config
import utils
import git_wrapper
import constants
import backup
import printing
import prompts
import reinstall
| 22.9
| 103
| 0.772926
| 27
| 229
| 6.333333
| 0.407407
| 0.116959
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.113537
| 229
| 9
| 104
| 25.444444
| 0.842365
| 0
| 0
| 0
| 0
| 0
| 0.266376
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.888889
| 0
| 0.888889
| 0.222222
| 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
|
d213719075c354beb9ff49a675766eefe97337cd
| 66
|
py
|
Python
|
frontend/__init__.py
|
karllindmark/IsYourProjectUpToDate
|
ce2df36b8fa39a4732b05dfd75558a914e4e990b
|
[
"Apache-2.0"
] | null | null | null |
frontend/__init__.py
|
karllindmark/IsYourProjectUpToDate
|
ce2df36b8fa39a4732b05dfd75558a914e4e990b
|
[
"Apache-2.0"
] | null | null | null |
frontend/__init__.py
|
karllindmark/IsYourProjectUpToDate
|
ce2df36b8fa39a4732b05dfd75558a914e4e990b
|
[
"Apache-2.0"
] | null | null | null |
""" Module for the frontend, ie the UI and presentation layer """
| 33
| 65
| 0.712121
| 10
| 66
| 4.7
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.181818
| 66
| 1
| 66
| 66
| 0.87037
| 0.863636
| 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
|
d22ad5487bc6bc76170ebfbd782e2b680fc1df82
| 216
|
py
|
Python
|
tests/tests/test_settings.py
|
einsfr/commontail
|
a7421b7aac89dead7e4f7e0da0dff317157c3fea
|
[
"MIT"
] | null | null | null |
tests/tests/test_settings.py
|
einsfr/commontail
|
a7421b7aac89dead7e4f7e0da0dff317157c3fea
|
[
"MIT"
] | null | null | null |
tests/tests/test_settings.py
|
einsfr/commontail
|
a7421b7aac89dead7e4f7e0da0dff317157c3fea
|
[
"MIT"
] | null | null | null |
from unittest import TestCase
from django.conf import settings
class SettingsTestCase(TestCase):
def test_import(self):
self.assertEqual(settings.COMMONTAIL_NO_IMAGE_PLACEHOLDER_TITLE, 'image later')
| 21.6
| 87
| 0.791667
| 26
| 216
| 6.384615
| 0.730769
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.143519
| 216
| 9
| 88
| 24
| 0.897297
| 0
| 0
| 0
| 0
| 0
| 0.050926
| 0
| 0
| 0
| 0
| 0
| 0.2
| 1
| 0.2
| false
| 0
| 0.6
| 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
|
d24747b2c99fbf0680128ad8b972b9c219d91e54
| 101
|
py
|
Python
|
service_and_process/apps.py
|
rameshgopalakrishnan/v_excel_inventory
|
5e7e8cfeb5b0217d7029feb917f84614aa384601
|
[
"Apache-2.0"
] | null | null | null |
service_and_process/apps.py
|
rameshgopalakrishnan/v_excel_inventory
|
5e7e8cfeb5b0217d7029feb917f84614aa384601
|
[
"Apache-2.0"
] | null | null | null |
service_and_process/apps.py
|
rameshgopalakrishnan/v_excel_inventory
|
5e7e8cfeb5b0217d7029feb917f84614aa384601
|
[
"Apache-2.0"
] | null | null | null |
from django.apps import AppConfig
class LaundryConfig(AppConfig):
name = 'service_and_process'
| 16.833333
| 33
| 0.782178
| 12
| 101
| 6.416667
| 0.916667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.148515
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| 1
| 0
|
0
| 4
|
d281c21601382dde76e9d4534fe470f7c677cb5e
| 2,777
|
py
|
Python
|
pytissueoptics/tests/testsMaterial.py
|
DCC-Lab/PyTissueOptics
|
2e1920a970d62c1e2aeca25749ba88969c300325
|
[
"MIT"
] | 3
|
2021-02-01T19:30:35.000Z
|
2021-06-14T20:08:10.000Z
|
pytissueoptics/tests/testsMaterial.py
|
DCC-Lab/PyTissueOptics
|
2e1920a970d62c1e2aeca25749ba88969c300325
|
[
"MIT"
] | 25
|
2021-02-03T15:53:18.000Z
|
2022-03-30T22:53:29.000Z
|
pytissueoptics/tests/testsMaterial.py
|
DCC-Lab/PyTissueOptics
|
2e1920a970d62c1e2aeca25749ba88969c300325
|
[
"MIT"
] | 2
|
2022-02-12T03:51:53.000Z
|
2022-02-14T04:52:28.000Z
|
import envtest # modifies path
from pytissueoptics import *
import numpy as np
import random
from math import cos
inf = float("+inf")
class TestVector(envtest.PyTissueTestCase):
def testMateiralInit(self):
mat = Material()
self.assertIsNotNone(mat)
def testMaterialG0(self):
mat = Material(g=0)
sumTheta = 0
sumPhi = 0
N = 1000000
for i in range(N):
theta, phi = mat.getScatteringAngles(None)
sumTheta += cos(theta)
sumPhi += phi
self.assertAlmostEqual((sumTheta)/N, 0, 2)
self.assertAlmostEqual(sumPhi/N, 3.1416, 2)
def testMaterialG08(self):
mat = Material(g=0.8)
sumTheta = 0
sumPhi = 0
N = 1000000
for i in range(N):
theta, phi = mat.getScatteringAngles(None)
sumTheta += cos(theta)
sumPhi += phi
self.assertAlmostEqual((sumTheta)/N, 0.8, 2)
self.assertAlmostEqual(sumPhi/N, 3.1416, 2)
def testMaterialG1(self):
mat = Material(g=1)
sumTheta = 0
sumPhi = 0
N = 1000000
for i in range(N):
theta, phi = mat.getScatteringAngles(None)
sumTheta += cos(theta)
sumPhi += phi
self.assertAlmostEqual((sumTheta)/N, 1, 2)
self.assertAlmostEqual(sumPhi/N, 3.1416, 2)
def testMaterialG1(self):
mat = Material(g=-0.5)
sumTheta = 0
sumPhi = 0
N = 1000000
for i in range(N):
theta, phi = mat.getScatteringAngles(None)
sumTheta += cos(theta)
sumPhi += phi
self.assertAlmostEqual((sumTheta)/N, -0.5, 2)
self.assertAlmostEqual(sumPhi/N, 3.1416, 2)
def testMaterialMus(self):
mat = Material(mu_s = 10, mu_a = 0, g = 0.8)
sumDist = 0
N = 1000000
for i in range(N):
d = mat.getScatteringDistance(None)
sumDist += d
self.assertAlmostEqual((sumDist)/N, 1/mat.mu_s, 2)
def testMaterialMua(self):
mat = Material(mu_s = 0, mu_a = 20, g = 0.8)
sumDist = 0
N = 1000000
for i in range(N):
d = mat.getScatteringDistance(None)
sumDist += d
self.assertAlmostEqual((sumDist)/N, 1/mat.mu_a, 2)
def testMaterialMut(self):
mat = Material(mu_s = 10, mu_a = 20, g = 0.8)
sumDist = 0
N = 1000000
for i in range(N):
d = mat.getScatteringDistance(None)
sumDist += d
self.assertAlmostEqual((sumDist)/N, 1/mat.mu_t, 2)
def testMaterialAlbedo(self):
mat = Material(mu_s = 0, mu_a = 0, g = 0.8)
self.assertAlmostEqual(mat.albedo,0, 2)
if __name__ == '__main__':
envtest.main()
| 29.231579
| 58
| 0.555996
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| 2,777
| 4.498525
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| 0.165246
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| 0.759344
| 0.736393
| 0.733115
| 0.733115
| 0.678033
| 0.628197
| 0
| 0.071814
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| 2,777
| 94
| 59
| 29.542553
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| 0
|
0
| 4
|
d2844539b7c0cc28e8877d969cac37af9a6ad7d1
| 12,240
|
py
|
Python
|
bpmninja/song_metadata.py
|
chelseadole/bpmninja
|
37495114777c3c6b2c2654ae1b74b29224b80293
|
[
"MIT"
] | null | null | null |
bpmninja/song_metadata.py
|
chelseadole/bpmninja
|
37495114777c3c6b2c2654ae1b74b29224b80293
|
[
"MIT"
] | null | null | null |
bpmninja/song_metadata.py
|
chelseadole/bpmninja
|
37495114777c3c6b2c2654ae1b74b29224b80293
|
[
"MIT"
] | null | null | null |
"""All song metadata."""
song_metadata = {0: {'title': 'A Sheridan Square', 'artist': 'Henry Red Allen', 'album': 'Allen, Henry Red: Original 1933-1941 Recordings', 'bpm': 124, 'filepath': 'a-sheridan-square.mp3', 'id': 0}, 1: {'title': "Ain't Misbehavin'", 'artist': 'Sidney Bechet', 'album': 'VICTOR 26746', 'bpm': 145, 'filepath': 'aint-misbehavin.mp3', 'id': 1}, 2: {'title': 'All Of Me', 'artist': 'Sidney Bechet', 'album': 'Sidney Bechet Vol. 9', 'bpm': 113, 'filepath': 'all-of-me.mp3', 'id': 2}, 3: {'title': 'All Right Okay You Win', 'artist': 'Count Basie', 'album': 'Count Basie at Newport', 'bpm': 146, 'filepath': 'all-right-okay-you-win.m4a', 'id': 3}, 4: {'title': 'Are You All Reet?', 'artist': 'Cab Calloway', 'album': 'Are You Hep To The Jive?', 'bpm': 158, 'filepath': 'are-you-alreet.mp3', 'id': 4}, 5: {'title': 'Artillerie Lourde', 'artist': 'Henri Crolla & Co.', 'album': 'Notre Ami Django', 'bpm': 129, 'filepath': 'artillerie-lourde.mp3', 'id': 5}, 6: {'title': 'Back Beat Boogie', 'artist': 'Harry James & His Orchestra', 'album': 'The Best of Harry James Orchestra', 'bpm': 197, 'filepath': 'back-beat-boogie.mp3', 'id': 6}, 7: {'title': 'Battle Axe', 'artist': 'Jimmie Lunceford', 'album': 'Jimmie Lunceford and His Orchestra (1940)', 'bpm': 249, 'filepath': 'battle-axe.mp3', 'id': 7}, 8: {'title': 'Bloodhound', 'artist': 'Hot Lips Page', 'album': '1944-1946', 'bpm': 185, 'filepath': 'bloodhound.mp3', 'id': 8}, 9: {'title': 'Blow, Illinois, Blow', 'artist': 'Illinois Jacquet', 'album': 'Illinois Jacquet', 'bpm': 217, 'filepath': 'blow-illinois-blow.mp3', 'id': 9}, 10: {'title': 'Boo Wah Boo Wah', 'artist': 'Cab Calloway', 'album': 'Boo Wah Boo Wah', 'bpm': 200, 'filepath': 'boo-wah-boo-wah.mp3', 'id': 10}, 11: {'title': 'Buddy Bolden Stomp', 'artist': 'Sidney Bechet', 'album': 'Sidney Bechet Vol. 9', 'bpm': 204, 'filepath': 'buddy-bolden-stomp.mp3', 'id': 11}, 12: {'title': 'Celery Stalks At Midnight', 'artist': 'Will Bradley and his Orchestra', 'album': 'Ultimate Collection', 'bpm': 154, 'filepath': 'celery-stalks-at-midnight.mp3', 'id': 12}, 13: {'title': 'Cherokee', 'artist': 'Charlie Barnet', 'album': 'Charlie Barnet', 'bpm': 177, 'filepath': 'cherokee.mp3', 'id': 13}, 14: {'title': 'Dig It', 'artist': 'Doris Day', 'album': 'The Music Plays On', 'bpm': 150, 'filepath': 'dig-it.mp3', 'id': 14}, 15: {'title': 'Diga Diga Doo', 'artist': "Mill's Hotsy Totsy Gang", 'album': 'BRUNSWICK 4014', 'bpm': 221, 'filepath': 'diga-diga-doo.mp3', 'id': 15}, 16: {'title': 'Esquire Bounce', 'artist': 'Coleman Hawkins', 'album': 'Jazz & Blues World Presents: Coleman Hawkins', 'bpm': 168, 'filepath': 'esquire-bounce.mp3', 'id': 16}, 17: {'title': 'Flying Home', 'artist': 'Lionel Hampton', 'album': 'Flying Home', 'bpm': 190, 'filepath': 'flying-home.mp3', 'id': 17}, 18: {'title': 'Four Or Five Times', 'artist': 'Bechet-Spanier Big Four', 'album': 'The Essential Collection (Digitally Remastered)', 'bpm': 112, 'filepath': 'four-or-five-times.mp3', 'id': 18}, 19: {'title': 'Gimme, Gimme, Gimme', 'artist': 'Hot Lips Page', 'album': '1946-1950', 'bpm': 100, 'filepath': 'gimme-gimme-gimme.mp3', 'id': 19}, 20: {'title': 'How Come', 'artist': "Anita O'Day", 'album': '1945-1950', 'bpm': 140, 'filepath': 'how-come.mp3', 'id': 20}, 21: {'title': 'Johnny Come Lately', 'artist': 'Duke Ellington', 'album': 'Sophisticated', 'bpm': 173, 'filepath': 'johnny-come-lately.mp3', 'id': 21}, 22: {'title': 'Leap Frog', 'artist': 'Les Brown', 'album': 'Les Brown & Doris Day & Friends', 'bpm': 187, 'filepath': 'leap-frog.mp3', 'id': 22}, 23: {'title': "Let's Get Drunk And Truck", 'artist': 'The Harlem Hamfats', 'album': 'Harlem Hamfats Vol. 2 1936-1937', 'bpm': 183, 'filepath': 'lets-get-drunk-and-truck.mp3', 'id': 23}, 24: {'title': 'Little Jazz', 'artist': 'Roy Eldridge', 'album': '1957 Live (Jazz Band Records)', 'bpm': 170, 'filepath': 'little-jazz.mp3', 'id': 24}, 25: {'title': 'Love in My Heart (Swing Baby Swing)', 'artist': 'Duke Ellington ft. Rex Stewart & His 52nd Street S', 'album': 'At The Piano', 'bpm': 164, 'filepath': 'love-in-my-heart.mp3', 'id': 25}, 26: {'title': 'Love You Madly', 'artist': 'Ella Fitzgerald', 'album': 'Love You Madly', 'bpm': 121, 'filepath': 'love-you-madly.mp3', 'id': 26}, 27: {'title': 'Make Me A Pallet On The Floor', 'artist': 'Sidney Bechet and His New Orleans Feetwarmers', 'album': 1940, 'bpm': 104, 'filepath': 'make-me-a-pallet-on-the-floor.mp3', 'id': 27}, 28: {'title': 'Midnight Alley (Remastered)', 'artist': 'Ray Anthony', 'album': "Ray's Star", 'bpm': 176, 'filepath': 'midnight-alley.mp3', 'id': 28}, 29: {'title': 'Midnight In Moscow', 'artist': 'Kenny Ball and his Jazzmen', 'album': 'Kenny Ball', 'bpm': 171, 'filepath': 'midnight-in-moscow.mp3', 'id': 29}, 30: {'title': 'Moonglow (Take 2)', 'artist': 'Benny Goodman Quartet', 'album': 'The Complete RCA Victor Small Recordings', 'bpm': 123, 'filepath': 'moonglow-take-2.mp3', 'id': 30}, 31: {'title': 'Moten Swing', 'artist': 'Glen Gray & The Casa Loma Orchestra', 'album': 'Jazz Band Greats', 'bpm': 166, 'filepath': 'moten-swing.mp3', 'id': 31}, 32: {'title': 'Muddy River Blues', 'artist': 'Jack Teagarden and His Orchestra', 'album': '1939-1940', 'bpm': 133, 'filepath': 'muddy-river-blues.m4a', 'id': 32}, 33: {'title': 'My Baby Just Cares', 'artist': 'Nina Simone', 'album': 'My Baby Just Cares', 'bpm': 118, 'filepath': 'my-baby-just-cares.mp3', 'id': 33}, 34: {'title': 'Old Paree', 'artist': 'Hot Lips Page', 'album': '1950-1953', 'bpm': 122, 'filepath': 'old-paree.mp3', 'id': 34}, 35: {'title': 'One Foot In The Groove', 'artist': 'Artie Shaw', 'album': 'Artie Shaw Fifty Favourites', 'bpm': 163, 'filepath': 'one-foot-in-the-groove.mp3', 'id': 35}, 36: {'title': 'Opus One', 'artist': 'Tommy Dorsey', 'album': 'The Ultimate Big Band Theme Collection', 'bpm': 163, 'filepath': 'opus-one.mp3', 'id': 36}, 37: {'title': 'Perdido', 'artist': 'Duke Ellington', 'album': 'Duke Ellington Et Son Orchestre: 1940', 'bpm': 132, 'filepath': 'perdido.mp3', 'id': 37}, 38: {'title': 'Rose Room', 'artist': 'Benny Goodman', 'album': 'Benny Goodman LIVE', 'bpm': 136, 'filepath': 'rose-room.mp3', 'id': 38}, 39: {'title': 'Rosetta', 'artist': 'Albert Nicholas', 'album': 'The Golden Era of Dixieland Jazz', 'bpm': 213, 'filepath': 'rosetta.mp3', 'id': 39}, 40: {'title': 'Save The Bones For Henry Jones', 'artist': 'Pat Flowers', 'album': '1945-1947 {Chronological Classics, 1093}', 'bpm': 154, 'filepath': 'save-the-bones-for-henry-jones.mp3', 'id': 40}, 41: {'title': 'Savoy', 'artist': 'Lucky Millinder', 'album': 'Lucky Millinder', 'bpm': 196, 'filepath': 'savoy.mp3', 'id': 41}, 42: {'title': 'Shivers', 'artist': 'Charlie Christian with Benny Goodman & His Sextet', 'album': 'All My Life', 'bpm': 186, 'filepath': 'shivers.mp3', 'id': 42}, 43: {'title': 'Singing A Happy Song', 'artist': 'Benny Goodman', 'album': 'Complete Jazz Series 1935', 'bpm': 194, 'filepath': 'singing-a-happy-song.m4a', 'id': 43}, 44: {'title': 'Slip Horn Jive', 'artist': 'Glenn Miller', 'album': 'Glenn Miller & His Orchestra', 'bpm': 254, 'filepath': 'slip-horn-jive.mp3', 'id': 44}, 45: {'title': 'Solid Mama', 'artist': 'Earl Hines and his Orchestra', 'album': 'Remastered Collection (Remastered 2015)', 'bpm': 177, 'filepath': 'solid-mama.mp3', 'id': 45}, 46: {'title': 'Sophisticated Jump', 'artist': 'Al Cooper & His Savoy Sultans', 'album': 'Al Cooper (Doxy Collection)', 'bpm': 154, 'filepath': 'sophisticated-jump.mp3', 'id': 46}, 47: {'title': 'St. James Infirmary', 'artist': 'Hot Lips Page', 'album': '1946-1950', 'bpm': 119, 'filepath': 'st-james-infirmary.mp3', 'id': 47}, 48: {'title': 'Stitches', 'artist': 'Al Cooper & His Savoy Sultans', 'album': 'Al Cooper (Doxy Collection)', 'bpm': 187, 'filepath': 'stitches.mp3', 'id': 48}, 49: {'title': 'Stomp, Stomp', 'artist': 'The Cats & the Fiddle', 'album': "The Jive is Jumpin'", 'bpm': 201, 'filepath': 'stomp-stomp.mp3', 'id': 49}, 50: {'title': 'Sultan Serenade', 'artist': 'Horace Henderson and His Orchestra', 'album': '1940-1941', 'bpm': 216, 'filepath': 'sultan-serenade.mp3', 'id': 50}, 51: {'title': 'Sweet Sue, Just You', 'artist': 'Benny Goodman', 'album': 'Sweet Sue, Just You', 'bpm': 168, 'filepath': 'sweet-sue-just-you.mp3', 'id': 51}, 52: {'title': 'Swinging On Nothing', 'artist': 'Tommy Dorsey', 'album': 'Tommy Dorsey', 'bpm': 126, 'filepath': 'swinging-on-nothing.mp3', 'id': 52}, 53: {'title': 'The Fox', 'artist': 'Ray Anthony Orchestra', 'album': 'Ray Anthony & His Orchestra 1949-53', 'bpm': 162, 'filepath': 'the-fox.mp3', 'id': 53}, 54: {'title': "The Jeep Is Jumpin'", 'artist': 'Johnny Hodges', 'album': 'Johnny Hodges', 'bpm': 178, 'filepath': 'the-jeep-is-jumpin.mp3', 'id': 54}, 55: {'title': 'The Right Idea', 'artist': 'Charlie Barnet and his Orchestra', 'album': 'Essential, Vol. 4', 'bpm': 184, 'filepath': 'the-right-idea.m4a', 'id': 55}, 56: {'title': 'Too Young for the Blues', 'artist': 'Ella Fitzgerald', 'album': 'First Lady of Song (Box Set)', 'bpm': 137, 'filepath': 'too-young-for-the-blues.mp3', 'id': 56}, 57: {'title': 'Undecided', 'artist': 'Ella Fitzgerald And Her Famous Orchestra', 'album': 'Live At The Savoy - 1939-40', 'bpm': 205, 'filepath': 'undecided.mp3', 'id': 57}, 58: {'title': "Walk 'Em", 'artist': 'Buddy Johnson', 'album': 'Jukebox Hits 1940-1951', 'bpm': 122, 'filepath': 'walk-em.mp3', 'id': 58}, 59: {'title': 'Whatcha Know Joe', 'artist': 'Will Bradley', 'album': 1941, 'bpm': 175, 'filepath': 'whatcha-know-joe.mp3', 'id': 59}, 60: {'title': 'When A Woman Loves A Man', 'artist': 'Billie Holiday', 'album': 'Billie Holiday 1937-1939', 'bpm': 89, 'filepath': 'when-a-woman-loves-a-man.m4a', 'id': 60}, 61: {'title': 'Honeysuckle Rose', 'artist': 'Sarah Vaughan', 'album': 'Live In Chicago', 'bpm': 140, 'filepath': 'honeysuckle-rose.mp3', 'id': 61}, 62: {'title': 'Duck Fever', 'artist': 'Freddie Jackson', 'album': 'Something Saxy: Jazz In The Lounge', 'bpm': 191, 'filepath': 'duck-fever.mp3', 'id': 62}, 63: {'title': "When You're Smiling (1938)", 'artist': 'Nat Gonella & His Georgians', 'album': 'Georgia On My Mind', 'bpm': 191, 'filepath': 'when-youre-smiling.mp3', 'id': 63}, 64: {'title': 'Bottoms Up', 'artist': 'Illinois Jacquet', 'album': '1945-1946', 'bpm': 203, 'filepath': 'bottoms-up.mp3', 'id': 64}, 65: {'title': 'Blow Top Blues', 'artist': 'Etta Jones with Barney Bigard and His Orchestra', 'album': '0:00', 'bpm': 91, 'filepath': 'blow-top-blues.mp3', 'id': 65}, 66: {'title': "Your Father's Moustache", 'artist': 'Woody Herman', 'album': 'Original Hits: Woody Herman', 'bpm': 228, 'filepath': 'your-fathers-moustache.m4a', 'id': 66}, 67: {'title': 'Wolverine Blues', 'artist': 'Jack Teagarden and His Orchestra', 'album': '1939-1940', 'bpm': 213, 'filepath': 'wolverine-blues.m4a', 'id': 67}, 68: {'title': 'Second Balcony Jump', 'artist': 'Earl Hines', 'album': '1942-1945', 'bpm': 144, 'filepath': 'second-balcony-jump.mp3', 'id': 68}, 69: {'title': 'They Raided The Joint', 'artist': 'Roy Eldridge', 'album': "Vintage 50's Swedish Jazz 1949-1969", 'bpm': 153, 'filepath': 'they-raided-the-joint.mp3', 'id': 69}, 70: {'title': 'Mr. Five By Five', 'artist': 'Jimmy Rushing', 'album': 'The Humphrey Lyttelton Big Band with Jimmy Rushing', 'bpm': 157, 'filepath': 'mr-five-by-five.mp3', 'id': 70}, 71: {'title': 'Joshua Fit The Battle of Jericho', 'artist': 'Kid Ory & His Creole Jazz Band', 'album': 'In The Forties', 'bpm': 159, 'filepath': 'joshua-fit-the-battle-of-jericho.mp3', 'id': 71}, 72: {'title': "Evenin' (1936)", 'artist': 'Count Basie and his Orchestra with Jimmy Rushing', 'album': "Evenin'", 'bpm': 168, 'filepath': 'evenin.mp3', 'id': 72}, 73: {'title': 'Call Me A Taxi', 'artist': 'Will Bradley', 'album': 'Will Bradley', 'bpm': 172, 'filepath': 'call-me-a-taxi.mp3', 'id': 73}, 74: {'title': '9:20 Special', 'artist': 'John Kirby', 'album': 'The Best Of 1937-1945', 'bpm': 173, 'filepath': '920-special.mp3', 'id': 74}, 75: {'title': 'Move Your Hand', 'artist': 'The Harlem Hamfats', 'album': "Weed Smoker's Dream", 'bpm': 176, 'filepath': 'move-your-hand.mp3', 'id': 75}, 76: {'title': 'Till Tom Special', 'artist': 'Charlie Christian', 'album': 'With The Benny Goodman Sextet', 'bpm': 177, 'filepath': 'till-tom-special.mp3', 'id': 76}}
| 4,080
| 12,214
| 0.628758
| 1,755
| 12,240
| 4.384615
| 0.303704
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| 0.100585
| 0.073554
| 0.055101
| 0.049123
| 0.040546
| 0.02963
| 0
| 0.07556
| 0.124183
| 12,240
| 2
| 12,215
| 6,120
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0
| 4
|
963319c419f5a5869aff0543c93322fd99e95ece
| 474
|
py
|
Python
|
dbaas/drivers/mysqlpercona.py
|
didindinn/database-as-a-service
|
747de31ff8546f7874ddd654af860e130afd17a0
|
[
"BSD-3-Clause"
] | 303
|
2015-01-08T10:35:54.000Z
|
2022-02-28T08:54:06.000Z
|
dbaas/drivers/mysqlpercona.py
|
nouraellm/database-as-a-service
|
5e655c9347bea991b7218a01549f5e44f161d7be
|
[
"BSD-3-Clause"
] | 124
|
2015-01-14T12:56:15.000Z
|
2022-03-22T20:45:11.000Z
|
dbaas/drivers/mysqlpercona.py
|
nouraellm/database-as-a-service
|
5e655c9347bea991b7218a01549f5e44f161d7be
|
[
"BSD-3-Clause"
] | 110
|
2015-01-02T11:59:48.000Z
|
2022-02-28T08:54:06.000Z
|
from . import mysqldb
from physical.models import Instance
class MySQLPercona(mysqldb.MySQL):
def get_default_instance_type(self):
return Instance.MYSQL_PERCONA
@classmethod
def topology_name(cls):
return ['mysql_percona_single']
class MySQLPerconaFOXHA(mysqldb.MySQLFOXHA):
def get_default_instance_type(self):
return Instance.MYSQL_PERCONA
@classmethod
def topology_name(cls):
return ['mysql_percona_foxha']
| 20.608696
| 44
| 0.729958
| 54
| 474
| 6.148148
| 0.444444
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| 0.614458
| 0.614458
| 0.614458
| 0.614458
| 0
| 0
| 0.198312
| 474
| 22
| 45
| 21.545455
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| 0.285714
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0
| 4
|
9638cd5f59df1b8284b707583af3625677c72f58
| 7,158
|
py
|
Python
|
libs/configs/DOTA/retinanet/cfgs_res50_dota_atan_v3.py
|
Karlinik/RotationDetection
|
efd20d56d3964b89fa356e79a052bb53f6ac8ddb
|
[
"Apache-2.0"
] | 850
|
2020-10-27T08:51:54.000Z
|
2022-03-30T15:12:06.000Z
|
libs/configs/DOTA/retinanet/cfgs_res50_dota_atan_v3.py
|
Karlinik/RotationDetection
|
efd20d56d3964b89fa356e79a052bb53f6ac8ddb
|
[
"Apache-2.0"
] | 94
|
2020-12-01T02:18:47.000Z
|
2022-03-30T08:14:27.000Z
|
libs/configs/DOTA/retinanet/cfgs_res50_dota_atan_v3.py
|
Karlinik/RotationDetection
|
efd20d56d3964b89fa356e79a052bb53f6ac8ddb
|
[
"Apache-2.0"
] | 149
|
2020-10-29T03:30:32.000Z
|
2022-03-29T09:53:23.000Z
|
# -*- coding: utf-8 -*-
from __future__ import division, print_function, absolute_import
import numpy as np
from libs.configs._base_.models.retinanet_r50_fpn import *
from libs.configs._base_.datasets.dota_detection import *
from libs.configs._base_.schedules.schedule_1x import *
from dataloader.pretrained_weights.pretrain_zoo import PretrainModelZoo
# schedule
BATCH_SIZE = 1
GPU_GROUP = "0"
NUM_GPU = len(GPU_GROUP.strip().split(','))
SAVE_WEIGHTS_INTE = 20673
DECAY_STEP = np.array(DECAY_EPOCH, np.int32) * SAVE_WEIGHTS_INTE
MAX_ITERATION = SAVE_WEIGHTS_INTE * MAX_EPOCH
WARM_SETP = int(WARM_EPOCH * SAVE_WEIGHTS_INTE)
# dataset
DATASET_NAME = 'DOTATrain'
# model
# backbone
pretrain_zoo = PretrainModelZoo()
PRETRAINED_CKPT = pretrain_zoo.pretrain_weight_path(NET_NAME, ROOT_PATH)
TRAINED_CKPT = os.path.join(ROOT_PATH, 'output/trained_weights')
# bbox head
ANGLE_RANGE = 180
# loss
CLS_WEIGHT = 1.0
REG_WEIGHT = 1.0 / 5.0
REG_LOSS_MODE = None
VERSION = 'RetinaNet_DOTA_1x_20210726'
"""
RetinaNet-H + theta=atan(sin(theta)/cos(theta)) + 180, sin^2(theta) + cos^2(theta) = 1
[-90, 90] sin in [-1, 1] cos in [0, 1]
FLOPs: 485784881; Trainable params: 33051321
AP50:95: [0.6219588395799995, 0.5900819156180207, 0.5517010615222904, 0.4838942320308083, 0.4041809009083858, 0.29513475504257797, 0.1950400605938477, 0.10536651197643225, 0.042175716518712755, 0.0022298248960640693]
mmAP: 0.32917638186871395
++--++--++--++--++--++--++--++--++--++--++--++--++--++--++--++--++--++--++--++--
{'0.95': {'mAP': 0.0022298248960640693, 'storage-tank': 0.0101010101010101, 'ground-track-field': 0.0018181818181818182, 'tennis-court': 0.019762845849802372, 'baseball-diamond': 0.0, 'plane': 0.0009045680687471732, 'small-vehicle': 0.0, 'ship': 9.620009620009621e-05, 'harbor': 0.00012436264146250465, 'soccer-ball-field': 0.0, 'bridge': 0.0, 'large-vehicle': 0.0006402048655569782, 'basketball-court': 0.0, 'helicopter': 0.0, 'swimming-pool': 0.0, 'roundabout': 0.0}, '0.55': {'mAP': 0.5900819156180207, 'storage-tank': 0.7821167176986156, 'ground-track-field': 0.585923162177455, 'tennis-court': 0.89640544738318, 'baseball-diamond': 0.6409370785429295, 'plane': 0.8947763065481882, 'small-vehicle': 0.5225800235695158, 'ship': 0.6589287858729878, 'harbor': 0.42278808647875477, 'soccer-ball-field': 0.6168358732455926, 'bridge': 0.28673021434045987, 'large-vehicle': 0.443459314075796, 'basketball-court': 0.5860753133353813, 'helicopter': 0.39321579219288605, 'swimming-pool': 0.4966172021220622, 'roundabout': 0.623839416686508}, '0.65': {'mAP': 0.4838942320308083, 'storage-tank': 0.703686486850428, 'ground-track-field': 0.4582121295547346, 'tennis-court': 0.8929762974960739, 'baseball-diamond': 0.516330396851967, 'plane': 0.8820386553458407, 'small-vehicle': 0.4341109792559855, 'ship': 0.545882257415277, 'harbor': 0.23702298020522927, 'soccer-ball-field': 0.48594326905482227, 'bridge': 0.13793997570138036, 'large-vehicle': 0.3159858646685459, 'basketball-court': 0.5493799221023796, 'helicopter': 0.2644069261535571, 'swimming-pool': 0.3177772367426935, 'roundabout': 0.5167201030632094}, '0.8': {'mAP': 0.1950400605938477, 'storage-tank': 0.23437333952706677, 'ground-track-field': 0.26611867664499245, 'tennis-court': 0.763372516747552, 'baseball-diamond': 0.11260330578512397, 'plane': 0.4760154511924117, 'small-vehicle': 0.0705332644598394, 'ship': 0.16903432269060098, 'harbor': 0.015777610818933134, 'soccer-ball-field': 0.2528386156572064, 'bridge': 0.045454545454545456, 'large-vehicle': 0.04220779220779221, 'basketball-court': 0.22395577395577396, 'helicopter': 0.08682983682983683, 'swimming-pool': 0.020527859237536656, 'roundabout': 0.14595799769850404}, '0.7': {'mAP': 0.4041809009083858, 'storage-tank': 0.5713030835234201, 'ground-track-field': 0.4411286793357105, 'tennis-court': 0.8750232359772143, 'baseball-diamond': 0.3587099269790509, 'plane': 0.7775672061947545, 'small-vehicle': 0.31359852405275784, 'ship': 0.4820215706587658, 'harbor': 0.1638949393047754, 'soccer-ball-field': 0.4344227064365303, 'bridge': 0.08468408684059858, 'large-vehicle': 0.22843088785212995, 'basketball-court': 0.5295997338562823, 'helicopter': 0.1604646737537103, 'swimming-pool': 0.2158296016933543, 'roundabout': 0.42603465716673267}, 'mmAP': 0.32917638186871395, '0.85': {'mAP': 0.10536651197643225, 'storage-tank': 0.10199029604826304, 'ground-track-field': 0.12953474135292317, 'tennis-court': 0.5438413412390602, 'baseball-diamond': 0.045454545454545456, 'plane': 0.2016801962722456, 'small-vehicle': 0.045454545454545456, 'ship': 0.10533936357128913, 'harbor': 0.009767092411720512, 'soccer-ball-field': 0.13636363636363635, 'bridge': 0.011363636363636364, 'large-vehicle': 0.0087730451366815, 'basketball-court': 0.11842167759095656, 'helicopter': 0.045454545454545456, 'swimming-pool': 0.00974025974025974, 'roundabout': 0.06731875719217492}, '0.9': {'mAP': 0.042175716518712755, 'storage-tank': 0.028409090909090908, 'ground-track-field': 0.045454545454545456, 'tennis-court': 0.27613068993864825, 'baseball-diamond': 0.0048484848484848485, 'plane': 0.03693058210824708, 'small-vehicle': 0.0017575757575757577, 'ship': 0.09090909090909091, 'harbor': 0.002331002331002331, 'soccer-ball-field': 0.09090909090909091, 'bridge': 0.0, 'large-vehicle': 0.001918925401775006, 'basketball-court': 0.03409090909090909, 'helicopter': 0.0, 'swimming-pool': 0.0007639419404125286, 'roundabout': 0.018181818181818184}, '0.6': {'mAP': 0.5517010615222904, 'storage-tank': 0.7683112603670017, 'ground-track-field': 0.5278721455490211, 'tennis-court': 0.8961420380991326, 'baseball-diamond': 0.6077399640401626, 'plane': 0.8912951789284248, 'small-vehicle': 0.48169553694012035, 'ship': 0.6401545188085672, 'harbor': 0.3246909175564914, 'soccer-ball-field': 0.5525343072133332, 'bridge': 0.22316835013203135, 'large-vehicle': 0.3906635166271324, 'basketball-court': 0.5846588273927832, 'helicopter': 0.37095318043973435, 'swimming-pool': 0.42964586334191024, 'roundabout': 0.5859903173985088}, '0.75': {'mAP': 0.29513475504257797, 'storage-tank': 0.43778091624743337, 'ground-track-field': 0.3278443778443778, 'tennis-court': 0.7880930350773967, 'baseball-diamond': 0.17719101354088848, 'plane': 0.6489820655043292, 'small-vehicle': 0.18688721191247495, 'ship': 0.3141654459468437, 'harbor': 0.06063518693276478, 'soccer-ball-field': 0.36103287827425756, 'bridge': 0.05344859639338167, 'large-vehicle': 0.13618491201796437, 'basketball-court': 0.43017442167072706, 'helicopter': 0.11521531100478467, 'swimming-pool': 0.14012085535264343, 'roundabout': 0.249265097918402}, '0.5': {'mAP': 0.6219588395799995, 'storage-tank': 0.80839288248404, 'ground-track-field': 0.5945511971124983, 'tennis-court': 0.89640544738318, 'baseball-diamond': 0.6745779464169431, 'plane': 0.8960316622598585, 'small-vehicle': 0.5393852534010024, 'ship': 0.7264871486973908, 'harbor': 0.5127510533352412, 'soccer-ball-field': 0.6561298946271076, 'bridge': 0.34196740290156447, 'large-vehicle': 0.5099733378468009, 'basketball-court': 0.5916845976680699, 'helicopter': 0.4040989826472015, 'swimming-pool': 0.5368336801446979, 'roundabout': 0.6401121067743961}}
"""
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0
| 4
|
967e01a90f8554f99516f7476aa71994fcd3d3e9
| 134
|
py
|
Python
|
site/thicc/apps/scape/apps.py
|
aldenjenkins/ThiccGaming
|
4790d2568b019438d1569d0fe4e9f9aba008b737
|
[
"BSD-3-Clause"
] | null | null | null |
site/thicc/apps/scape/apps.py
|
aldenjenkins/ThiccGaming
|
4790d2568b019438d1569d0fe4e9f9aba008b737
|
[
"BSD-3-Clause"
] | 9
|
2020-03-24T16:20:31.000Z
|
2022-03-11T23:32:38.000Z
|
site/thicc/apps/scape/apps.py
|
aldenjenkins/ThiccGaming
|
4790d2568b019438d1569d0fe4e9f9aba008b737
|
[
"BSD-3-Clause"
] | null | null | null |
from __future__ import unicode_literals
from django.apps import AppConfig
class RunescapeConfig(AppConfig):
name = 'runescape'
| 16.75
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| 0
|
0
| 4
|
96aa8cdd67bd0fd144ace6b2a284b6ed0df805a0
| 7,081
|
py
|
Python
|
tests/cpu/test_runtime_api_jit.py
|
Peach-He/intel-extension-for-pytorch
|
d3d4d2bc5e8637e251f49d70ae9982c4a1e65935
|
[
"Apache-2.0"
] | null | null | null |
tests/cpu/test_runtime_api_jit.py
|
Peach-He/intel-extension-for-pytorch
|
d3d4d2bc5e8637e251f49d70ae9982c4a1e65935
|
[
"Apache-2.0"
] | null | null | null |
tests/cpu/test_runtime_api_jit.py
|
Peach-He/intel-extension-for-pytorch
|
d3d4d2bc5e8637e251f49d70ae9982c4a1e65935
|
[
"Apache-2.0"
] | null | null | null |
import unittest, copy
import torch
import torch.nn as nn
import intel_extension_for_pytorch as ipex
from common_utils import TestCase
from torch.testing._internal.jit_utils import JitTestCase
import time, sys
from test_jit_llga_utils import JitLlgaTestCase, run_tests, LLGA_FUSION_GROUP
import torch.fx.experimental.optimization as optimization
class SimpleNet(torch.nn.Module):
def __init__(self):
super(SimpleNet, self).__init__()
self.conv = torch.nn.Conv2d(64, 128, (3, 3), stride=(2, 2), padding=(1, 1), bias=False)
def forward(self, x):
x1 = self.conv(x)
y = torch.flatten(x1, start_dim=1)
return y
class SimpleNet_v2(torch.nn.Module):
def __init__(self):
super(SimpleNet_v2, self).__init__()
self.conv = torch.nn.Conv2d(3, 64, (3, 3), stride=(2, 2), padding=(1, 1), bias=False)
self.conv2 = torch.nn.Conv2d(64, 64, (3, 3), stride=(2, 2), padding=(1, 1), bias=False)
def forward(self, x):
x1 = self.conv(x)
x1 = self.conv2(x1)
y = torch.flatten(x1, start_dim=1)
return y
class TestJitRuntimeAPI(JitTestCase):
@unittest.skipIf(not ipex.cpu.runtime.is_runtime_ext_enabled(), "Skip when IPEX Runtime extension is not enabled")
def test_trace_module(self):
model = SimpleNet()
model.eval()
x = torch.rand(64, 64, 3, 3)
# Calculate the reference result
trace_model = torch.jit.trace(model, x)
y = trace_model(x)
# Create task
cpu_pool = ipex.cpu.runtime.CPUPool(node_id=0)
task = ipex.cpu.runtime.Task(trace_model, cpu_pool)
# Task submit and get
y_runtime_future = task(x)
y_runtime = y_runtime_future.get()
self.assertEqual(y, y_runtime)
@unittest.skipIf(not ipex.cpu.runtime.is_runtime_ext_enabled(), "Skip when IPEX Runtime extension is not enabled")
def test_sync_trace_module(self):
model = SimpleNet()
model.eval()
x = torch.rand(64, 64, 3, 3)
# Calculate the reference result
trace_mode = torch.jit.trace(model, x)
y = trace_mode(x)
# Create task
cpu_pool = ipex.cpu.runtime.CPUPool(node_id=0)
task = ipex.cpu.runtime.Task(trace_mode, cpu_pool)
# Task sync run
y_runtime = task.run_sync(x)
self.assertEqual(y, y_runtime)
@unittest.skipIf(not ipex.cpu.runtime.is_runtime_ext_enabled(), "Skip when IPEX Runtime extension is not enabled")
def test_bf16_task_core_bind(self):
model = SimpleNet()
model.eval()
x = torch.rand(64, 64, 3, 3)
# Calculate the reference result
with torch.cpu.amp.autocast(enabled=True, dtype=torch.bfloat16), torch.no_grad():
trace_mode = torch.jit.trace(model, x)
y = trace_mode(x)
# Create task
cpu_pool = ipex.cpu.runtime.CPUPool(node_id=0)
task = ipex.cpu.runtime.Task(trace_mode, cpu_pool)
# Task submit and wait
y_runtime_future = task(x)
y_runtime = y_runtime_future.get()
self.assertEqual(y, y_runtime)
@unittest.skipIf(not ipex.cpu.runtime.is_runtime_ext_enabled(), "Skip when IPEX Runtime extension is not enabled")
def test_task_multi_submission(self):
model = SimpleNet()
model.eval()
x = torch.rand(64, 64, 3, 3)
# Calculate the reference result
with torch.cpu.amp.autocast(enabled=True, dtype=torch.bfloat16), torch.no_grad():
trace_mode = torch.jit.trace(model, x)
y = trace_mode(x)
# Create task
cpu_pool = ipex.cpu.runtime.CPUPool(node_id=0)
task = ipex.cpu.runtime.Task(trace_mode, cpu_pool)
# Submit task 3 times, then wait for result
y_runtime = []
y_runtime_future = []
for i in range(3):
y_runtime_future.append(task(x))
for item in y_runtime_future:
y_runtime.append(item.get())
self.assertEqual(y, y_runtime[0])
self.assertEqual(y, y_runtime[1])
self.assertEqual(y, y_runtime[2])
@unittest.skipIf(not ipex.cpu.runtime.is_runtime_ext_enabled(), "Skip when IPEX Runtime extension is not enabled")
def test_multi_stream_bf16_module(self):
model = SimpleNet()
model.eval()
batch_size = ipex.cpu.runtime.get_core_list_of_node_id(0).__len__()
x = torch.rand(batch_size, 64, 3, 3)
num_streams = batch_size
# Calculate the reference result
with torch.cpu.amp.autocast(enabled=True, dtype=torch.bfloat16), torch.no_grad():
trace_model = torch.jit.trace(model, x)
y = trace_model(x)
# Create MultiStreamModule
cpu_pool = ipex.cpu.runtime.CPUPool(node_id=0)
multi_stream_model = ipex.cpu.runtime.MultiStreamModule(trace_model, num_streams=num_streams, cpu_pool=cpu_pool)
y_runtime = multi_stream_model(x)
self.assertEqual(y, y_runtime)
@unittest.skipIf(not ipex.cpu.runtime.is_runtime_ext_enabled(), "Skip when IPEX Runtime extension is not enabled")
def test_multi_stream_concat_output(self):
model = SimpleNet()
model.eval()
batch_size = ipex.cpu.runtime.get_core_list_of_node_id(0).__len__()
x = torch.rand(batch_size, 64, 3, 3)
num_streams = batch_size
# Calculate the reference result
with torch.cpu.amp.autocast(enabled=True, dtype=torch.bfloat16), torch.no_grad():
trace_model = torch.jit.trace(model, x)
# Create MultiStreamModule
cpu_pool = ipex.cpu.runtime.CPUPool(node_id=0)
multi_stream_model = ipex.cpu.runtime.MultiStreamModule(trace_model, num_streams=num_streams, cpu_pool=cpu_pool)
y_runtime = multi_stream_model(x)
# Create MultiStreamModule with concat_output=False
multi_stream_model2 = ipex.cpu.runtime.MultiStreamModule(trace_model, num_streams=num_streams, cpu_pool=cpu_pool, concat_output=False)
y_runtime2 = multi_stream_model2(x)
self.assertEqual(y_runtime2.__len__(), num_streams)
self.assertEqual(y_runtime, torch.cat(y_runtime2))
class TestLLGARuntimeAPI(JitLlgaTestCase):
@unittest.skipIf(not ipex.cpu.runtime.is_runtime_ext_enabled(), "Skip when IPEX Runtime extension is not enabled")
def test_int8_simpleNet_task_core_bind(self):
with torch.no_grad():
model = SimpleNet_v2()
model.eval()
x = torch.rand(2, 3, 224, 224).contiguous(memory_format=torch.channels_last)
# Calculate the reference result
graph, m_llga, m_cpu = self.prepareModel(model, [x], folding=True, qscheme=torch.per_tensor_symmetric)
y = m_llga(x)
# Create task
cpu_pool = ipex.cpu.runtime.CPUPool(node_id=0)
task = ipex.cpu.runtime.Task(m_llga, cpu_pool)
# Task submit and wait
y_runtime_future = task(x)
y_runtime = y_runtime_future.get()
self.assertEqual(y, y_runtime)
if __name__ == '__main__':
test = unittest.main()
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| 0
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|
0
| 4
|
736f3280b963487dc9f2de292d6081975e3a8a5c
| 146
|
py
|
Python
|
Python/Tests/TestData/PydStdLib/Package/__init__.py
|
nanshuiyu/pytools
|
9f9271fe8cf564b4f94e9456d400f4306ea77c23
|
[
"Apache-2.0"
] | null | null | null |
Python/Tests/TestData/PydStdLib/Package/__init__.py
|
nanshuiyu/pytools
|
9f9271fe8cf564b4f94e9456d400f4306ea77c23
|
[
"Apache-2.0"
] | null | null | null |
Python/Tests/TestData/PydStdLib/Package/__init__.py
|
nanshuiyu/pytools
|
9f9271fe8cf564b4f94e9456d400f4306ea77c23
|
[
"Apache-2.0"
] | null | null | null |
import Package._testcapi
if False:
from Package import EphemeralReference
select = EphemeralReference
select = 123
select = str
| 16.222222
| 43
| 0.726027
| 15
| 146
| 7
| 0.666667
| 0.457143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.027027
| 0.239726
| 146
| 8
| 44
| 18.25
| 0.918919
| 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
|
7385509ed8199eda248959151aea9eb61dd42b33
| 38,649
|
py
|
Python
|
venv/lib/python3.6/site-packages/ansible_collections/netapp/ontap/tests/unit/plugins/modules/test_na_ontap_svm.py
|
usegalaxy-no/usegalaxy
|
75dad095769fe918eb39677f2c887e681a747f3a
|
[
"MIT"
] | 1
|
2020-01-22T13:11:23.000Z
|
2020-01-22T13:11:23.000Z
|
venv/lib/python3.6/site-packages/ansible_collections/netapp/ontap/tests/unit/plugins/modules/test_na_ontap_svm.py
|
usegalaxy-no/usegalaxy
|
75dad095769fe918eb39677f2c887e681a747f3a
|
[
"MIT"
] | 12
|
2020-02-21T07:24:52.000Z
|
2020-04-14T09:54:32.000Z
|
venv/lib/python3.6/site-packages/ansible_collections/netapp/ontap/tests/unit/plugins/modules/test_na_ontap_svm.py
|
usegalaxy-no/usegalaxy
|
75dad095769fe918eb39677f2c887e681a747f3a
|
[
"MIT"
] | null | null | null |
# (c) 2018, NetApp, Inc
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
''' unit test template for ONTAP Ansible module '''
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
import json
import pytest
from ansible.module_utils import basic
from ansible.module_utils._text import to_bytes
from ansible_collections.netapp.ontap.tests.unit.compat import unittest
from ansible_collections.netapp.ontap.tests.unit.compat.mock import patch, Mock, call
import ansible_collections.netapp.ontap.plugins.module_utils.netapp as netapp_utils
from ansible_collections.netapp.ontap.plugins.modules.na_ontap_svm \
import NetAppOntapSVM as svm_module # module under test
if not netapp_utils.has_netapp_lib():
pytestmark = pytest.mark.skip('skipping as missing required netapp_lib')
# REST API canned responses when mocking send_request
SRR = {
# common responses
'is_rest': (200, dict(version=dict(generation=9, major=9, minor=1, full='dummy_9_9_1')), None),
'is_rest_96': (200, dict(version=dict(generation=9, major=6, minor=0, full='dummy_9_6_0')), None),
'is_zapi': (400, {}, "Unreachable"),
'empty_good': (200, {'num_records': 0}, None),
'end_of_sequence': (500, None, "Unexpected call to send_request"),
'generic_error': (400, None, "Expected error"),
# module specific responses
'svm_record': (200,
{'records': [{"uuid": "09e9fd5e-8ebd-11e9-b162-005056b39fe7",
"name": "test_svm",
"subtype": "default",
"language": "c.utf_8",
"aggregates": [{"name": "aggr_1",
"uuid": "850dd65b-8811-4611-ac8c-6f6240475ff9"},
{"name": "aggr_2",
"uuid": "850dd65b-8811-4611-ac8c-6f6240475ff9"}],
"comment": "new comment",
"ipspace": {"name": "ansible_ipspace",
"uuid": "2b760d31-8dfd-11e9-b162-005056b39fe7"},
"snapshot_policy": {"uuid": "3b611707-8dfd-11e9-b162-005056b39fe7",
"name": "old_snapshot_policy"},
"nfs": {"enabled": True, "allowed": True},
"cifs": {"enabled": False},
"iscsi": {"enabled": False},
"fcp": {"enabled": False},
"nvme": {"enabled": False}}]}, None),
'svm_record_ap': (200,
{'records': [{"name": "test_svm",
"aggregates": [{"name": "aggr_1",
"uuid": "850dd65b-8811-4611-ac8c-6f6240475ff9"},
{"name": "aggr_2",
"uuid": "850dd65b-8811-4611-ac8c-6f6240475ff9"}],
"ipspace": {"name": "ansible_ipspace",
"uuid": "2b760d31-8dfd-11e9-b162-005056b39fe7"},
"snapshot_policy": {"uuid": "3b611707-8dfd-11e9-b162-005056b39fe7",
"name": "old_snapshot_policy"},
"nfs": {"enabled": False},
"cifs": {"enabled": True, "allowed": True},
"iscsi": {"enabled": True, "allowed": True},
"fcp": {"enabled": False},
"nvme": {"enabled": False}}]}, None),
'cli_record': (200,
{'records': [{"max_volumes": 100, "allowed_protocols": ['nfs', 'iscsi']}]}, None)
}
def set_module_args(args):
"""prepare arguments so that they will be picked up during module creation"""
args = json.dumps({'ANSIBLE_MODULE_ARGS': args})
basic._ANSIBLE_ARGS = to_bytes(args) # pylint: disable=protected-access
class AnsibleExitJson(Exception):
"""Exception class to be raised by module.exit_json and caught by the test case"""
class AnsibleFailJson(Exception):
"""Exception class to be raised by module.fail_json and caught by the test case"""
def exit_json(*args, **kwargs): # pylint: disable=unused-argument
"""function to patch over exit_json; package return data into an exception"""
if 'changed' not in kwargs:
kwargs['changed'] = False
raise AnsibleExitJson(kwargs)
def fail_json(*args, **kwargs): # pylint: disable=unused-argument
"""function to patch over fail_json; package return data into an exception"""
kwargs['failed'] = True
raise AnsibleFailJson(kwargs)
class MockONTAPConnection(object):
''' mock server connection to ONTAP host '''
def __init__(self, kind=None, data=None):
''' save arguments '''
self.type = kind
self.params = data
self.xml_in = None
self.xml_out = None
def invoke_successfully(self, xml, enable_tunneling): # pylint: disable=unused-argument
''' mock invoke_successfully returning xml data '''
self.xml_in = xml
if self.type == 'vserver':
xml = self.build_vserver_info(self.params)
self.xml_out = xml
return xml
@staticmethod
def build_vserver_info(vserver):
''' build xml data for vserser-info '''
xml = netapp_utils.zapi.NaElement('xml')
data = {'num-records': 1, 'attributes-list': {'vserver-info': {
'vserver-name': vserver['name'],
'ipspace': vserver['ipspace'],
'root-volume': vserver['root_volume'],
'root-volume-aggregate': vserver['root_volume_aggregate'],
'language': vserver['language'],
'comment': vserver['comment'],
'snapshot-policy': vserver['snapshot_policy'],
'vserver-subtype': vserver['subtype'],
'allowed-protocols': [{'protocol': 'nfs'}, {'protocol': 'cifs'}],
'aggr-list': [{'aggr-name': 'aggr_1'}, {'aggr-name': 'aggr_2'}],
}}}
xml.translate_struct(data)
return xml
class TestMyModule(unittest.TestCase):
''' a group of related Unit Tests '''
def setUp(self):
self.mock_module_helper = patch.multiple(basic.AnsibleModule,
exit_json=exit_json,
fail_json=fail_json)
self.mock_module_helper.start()
self.addCleanup(self.mock_module_helper.stop)
self.server = MockONTAPConnection()
self.mock_vserver = {
'name': 'test_svm',
'root_volume': 'ansible_vol',
'root_volume_aggregate': 'ansible_aggr',
'aggr_list': 'aggr_1,aggr_2',
'ipspace': 'ansible_ipspace',
'subtype': 'default',
'language': 'c.utf_8',
'snapshot_policy': 'old_snapshot_policy',
'comment': 'new comment'
}
def mock_args(self, rest=False):
if rest:
return {'name': self.mock_vserver['name'],
'aggr_list': self.mock_vserver['aggr_list'],
'ipspace': self.mock_vserver['ipspace'],
'comment': self.mock_vserver['comment'],
'subtype': 'default',
'hostname': 'test',
'username': 'test_user',
'password': 'test_pass!'}
else:
return {
'name': self.mock_vserver['name'],
'root_volume': self.mock_vserver['root_volume'],
'root_volume_aggregate': self.mock_vserver['root_volume_aggregate'],
'aggr_list': self.mock_vserver['aggr_list'],
'ipspace': self.mock_vserver['ipspace'],
'comment': self.mock_vserver['comment'],
'subtype': 'default',
'hostname': 'test',
'username': 'test_user',
'password': 'test_pass!',
'use_rest': 'never'
}
def get_vserver_mock_object(self, kind=None, data=None, cx_type='zapi'):
"""
Helper method to return an na_ontap_volume object
:param kind: passes this param to MockONTAPConnection()
:param data: passes this param to MockONTAPConnection()
:return: na_ontap_volume object
"""
vserver_obj = svm_module()
if cx_type == 'zapi':
vserver_obj.asup_log_for_cserver = Mock(return_value=None)
vserver_obj.cluster = Mock()
vserver_obj.cluster.invoke_successfully = Mock()
if kind is None:
vserver_obj.server = MockONTAPConnection()
elif data is None:
vserver_obj.server = MockONTAPConnection(kind='vserver', data=self.mock_vserver)
else:
vserver_obj.server = MockONTAPConnection(kind='vserver', data=data)
return vserver_obj
def test_module_fail_when_required_args_missing(self):
''' required arguments are reported as errors '''
with pytest.raises(AnsibleFailJson) as exc:
set_module_args({})
svm_module()
print('Info: %s' % exc.value.args[0]['msg'])
def test_get_nonexistent_vserver(self):
''' test if get_vserver() throws an error if vserver is not specified '''
data = self.mock_args()
set_module_args(data)
result = self.get_vserver_mock_object().get_vserver()
assert result is None
def test_create_error_missing_name(self):
''' Test if create throws an error if name is not specified'''
data = self.mock_args()
del data['name']
set_module_args(data)
with pytest.raises(AnsibleFailJson) as exc:
self.get_vserver_mock_object('vserver').create_vserver()
msg = 'missing required arguments: name'
assert exc.value.args[0]['msg'] == msg
@patch('ansible_collections.netapp.ontap.plugins.modules.na_ontap_svm.NetAppOntapSVM.create_vserver')
def test_successful_create(self, create_vserver):
'''Test successful create'''
data = self.mock_args()
set_module_args(data)
with pytest.raises(AnsibleExitJson) as exc:
self.get_vserver_mock_object().apply()
assert exc.value.args[0]['changed']
create_vserver.assert_called_with()
def test_successful_create_zapi(self):
'''Test successful create'''
data = self.mock_args()
set_module_args(data)
with pytest.raises(AnsibleExitJson) as exc:
self.get_vserver_mock_object().apply()
assert exc.value.args[0]['changed']
@patch('ansible_collections.netapp.ontap.plugins.modules.na_ontap_svm.NetAppOntapSVM.create_vserver')
def test_create_idempotency(self, create_vserver):
'''Test successful create'''
data = self.mock_args()
set_module_args(data)
with pytest.raises(AnsibleExitJson) as exc:
self.get_vserver_mock_object('vserver').apply()
assert not exc.value.args[0]['changed']
create_vserver.assert_not_called()
def test_successful_delete(self):
'''Test successful delete'''
self._modify_options_with_expected_change('state', 'absent')
@patch('ansible_collections.netapp.ontap.plugins.modules.na_ontap_svm.NetAppOntapSVM.delete_vserver')
def test_delete_idempotency(self, delete_vserver):
'''Test delete idempotency'''
data = self.mock_args()
data['state'] = 'absent'
set_module_args(data)
with pytest.raises(AnsibleExitJson) as exc:
self.get_vserver_mock_object().apply()
assert not exc.value.args[0]['changed']
delete_vserver.assert_not_called()
@patch('ansible_collections.netapp.ontap.plugins.modules.na_ontap_svm.NetAppOntapSVM.get_vserver')
def test_successful_rename(self, get_vserver):
'''Test successful rename'''
data = self.mock_args()
data['from_name'] = 'test_svm'
data['name'] = 'test_new_svm'
set_module_args(data)
current = {
'name': 'test_svm',
'root_volume': 'ansible_vol',
'root_volume_aggregate': 'ansible_aggr',
'ipspace': 'ansible_ipspace',
'subtype': 'default',
'language': 'c.utf_8'
}
get_vserver.side_effect = [
None,
current
]
with pytest.raises(AnsibleExitJson) as exc:
self.get_vserver_mock_object().apply()
assert exc.value.args[0]['changed']
def test_successful_modify_language(self):
'''Test successful modify language'''
self._modify_options_with_expected_change('language', 'c')
def test_successful_modify_snapshot_policy(self):
'''Test successful modify language'''
self._modify_options_with_expected_change(
'snapshot_policy', 'new_snapshot_policy'
)
def test_successful_modify_allowed_protocols(self):
'''Test successful modify allowed protocols'''
self._modify_options_with_expected_change(
'allowed_protocols', 'nvme,fcp'
)
def test_successful_modify_aggr_list(self):
'''Test successful modify aggr-list'''
self._modify_options_with_expected_change(
'aggr_list', 'aggr_3,aggr_4'
)
def _modify_options_with_expected_change(self, arg0, arg1):
data = self.mock_args()
data[arg0] = arg1
set_module_args(data)
with pytest.raises(AnsibleExitJson) as exc:
self.get_vserver_mock_object('vserver').apply()
assert exc.value.args[0]['changed']
@patch('ansible_collections.netapp.ontap.plugins.module_utils.netapp.OntapRestAPI.send_request')
def test_rest_error(self, mock_request):
data = self.mock_args(rest=True)
set_module_args(data)
mock_request.side_effect = [
SRR['is_rest'],
SRR['generic_error'],
SRR['end_of_sequence']
]
with pytest.raises(AnsibleFailJson) as exc:
self.get_vserver_mock_object(cx_type='rest').apply()
assert exc.value.args[0]['msg'] == 'calling: svm/svms: got %s.' % SRR['generic_error'][2]
@patch('ansible_collections.netapp.ontap.plugins.module_utils.netapp.OntapRestAPI.send_request')
def test_rest_error_unsupported_parm(self, mock_request):
data = self.mock_args(rest=True)
data['use_rest'] = 'Always'
data['root_volume'] = 'not_supported_by_rest'
set_module_args(data)
mock_request.side_effect = [
SRR['is_rest'],
SRR['end_of_sequence']
]
with pytest.raises(AnsibleFailJson) as exc:
self.get_vserver_mock_object(cx_type='rest').apply()
assert exc.value.args[0]['msg'] == "REST API currently does not support 'root_volume'"
@patch('ansible_collections.netapp.ontap.plugins.module_utils.netapp.OntapRestAPI.send_request')
def test_rest_successfully_create(self, mock_request):
data = self.mock_args(rest=True)
data['state'] = 'present'
set_module_args(data)
mock_request.side_effect = [
SRR['is_rest'],
SRR['empty_good'], # get
SRR['empty_good'], # post
SRR['end_of_sequence']
]
with pytest.raises(AnsibleExitJson) as exc:
self.get_vserver_mock_object(cx_type='rest').apply()
assert exc.value.args[0]['changed']
@patch('ansible_collections.netapp.ontap.plugins.module_utils.netapp.OntapRestAPI.send_request')
def test_rest_create_idempotency(self, mock_request):
data = self.mock_args(rest=True)
data['state'] = 'present'
set_module_args(data)
mock_request.side_effect = [
SRR['is_rest'],
SRR['svm_record'], # get
SRR['end_of_sequence']
]
with pytest.raises(AnsibleExitJson) as exc:
self.get_vserver_mock_object(cx_type='rest').apply()
assert not exc.value.args[0]['changed']
@patch('ansible_collections.netapp.ontap.plugins.module_utils.netapp.OntapRestAPI.send_request')
def test_rest_successful_delete(self, mock_request):
'''Test successful delete'''
data = self.mock_args(rest=True)
data['state'] = 'absent'
set_module_args(data)
mock_request.side_effect = [
SRR['is_rest'],
SRR['svm_record'], # get
SRR['empty_good'], # delete
SRR['end_of_sequence']
]
with pytest.raises(AnsibleExitJson) as exc:
self.get_vserver_mock_object(cx_type='rest').apply()
assert exc.value.args[0]['changed']
@patch('ansible_collections.netapp.ontap.plugins.module_utils.netapp.OntapRestAPI.send_request')
def test_rest_delete_idempotency(self, mock_request):
'''Test delete idempotency'''
data = self.mock_args(rest=True)
data['state'] = 'absent'
set_module_args(data)
mock_request.side_effect = [
SRR['is_rest'],
SRR['empty_good'], # get
SRR['end_of_sequence']
]
with pytest.raises(AnsibleExitJson) as exc:
self.get_vserver_mock_object(cx_type='rest').apply()
assert not exc.value.args[0]['changed']
@patch('ansible_collections.netapp.ontap.plugins.module_utils.netapp.OntapRestAPI.send_request')
def test_rest_successful_rename(self, mock_request):
'''Test successful rename'''
data = self.mock_args(rest=True)
data['from_name'] = 'test_svm'
data['name'] = 'test_new_svm'
set_module_args(data)
mock_request.side_effect = [
SRR['is_rest'],
SRR['svm_record'], # get
SRR['svm_record'], # get
SRR['empty_good'], # patch
SRR['end_of_sequence']
]
with pytest.raises(AnsibleExitJson) as exc:
self.get_vserver_mock_object(cx_type='rest').apply()
assert exc.value.args[0]['changed']
@patch('ansible_collections.netapp.ontap.plugins.module_utils.netapp.OntapRestAPI.send_request')
def test_rest_successful_modify_language(self, mock_request):
'''Test successful modify language'''
data = self.mock_args(rest=True)
data['language'] = 'c'
set_module_args(data)
mock_request.side_effect = [
SRR['is_rest'],
SRR['svm_record'], # get
SRR['svm_record'], # get
SRR['empty_good'], # patch
SRR['end_of_sequence']
]
with pytest.raises(AnsibleExitJson) as exc:
self.get_vserver_mock_object(cx_type='rest').apply()
assert exc.value.args[0]['changed']
@patch('ansible_collections.netapp.ontap.plugins.module_utils.netapp.OntapRestAPI.send_request')
def test_rest_successful_get(self, mock_request):
'''Test successful get'''
data = self.mock_args(rest=True)
data['language'] = 'c'
set_module_args(data)
mock_request.side_effect = [
SRR['is_rest'],
SRR['svm_record'], # get
SRR['svm_record_ap'], # get AP
SRR['end_of_sequence']
]
na_ontap_svm_object = self.get_vserver_mock_object(cx_type='rest')
current = na_ontap_svm_object.get_vserver()
print(current)
assert current['services']['nfs']['allowed']
assert not current['services']['cifs']['enabled']
current = na_ontap_svm_object.get_vserver()
print(current)
assert not current['services']['nfs']['enabled']
assert current['services']['cifs']['allowed']
assert current['services']['iscsi']['allowed']
@patch('ansible_collections.netapp.ontap.plugins.module_utils.netapp.OntapRestAPI.send_request')
def test_rest_successfully_create_ignore_zapi_option(self, mock_request):
data = self.mock_args(rest=True)
data['state'] = 'present'
data['root_volume'] = 'whatever'
data['aggr_list'] = '*'
data['ignore_rest_unsupported_options'] = 'true'
set_module_args(data)
mock_request.side_effect = [
SRR['is_rest'],
SRR['empty_good'], # get
SRR['empty_good'], # post
SRR['end_of_sequence']
]
module = self.get_vserver_mock_object(cx_type='rest')
with pytest.raises(AnsibleExitJson) as exc:
module.apply()
assert exc.value.args[0]['changed']
assert module.use_rest
@patch('ansible_collections.netapp.ontap.plugins.module_utils.netapp.OntapRestAPI.send_request')
def test_rest_successfully_create_with_service(self, mock_request):
data = self.mock_args(rest=True)
data['state'] = 'present'
data['services'] = {'nfs': {'allowed': True, 'enabled': True}}
set_module_args(data)
mock_request.side_effect = [
SRR['is_rest'],
SRR['empty_good'], # get
SRR['empty_good'], # post
SRR['end_of_sequence']
]
module = self.get_vserver_mock_object(cx_type='rest')
with pytest.raises(AnsibleExitJson) as exc:
module.apply()
assert exc.value.args[0]['changed']
assert module.use_rest
@patch('ansible_collections.netapp.ontap.plugins.module_utils.netapp.OntapRestAPI.send_request')
def test_rest_successfully_modify_with_service(self, mock_request):
data = self.mock_args(rest=True)
data['state'] = 'present'
data['services'] = {'nfs': {'allowed': True, 'enabled': True}, 'fcp': {'allowed': True, 'enabled': True}}
set_module_args(data)
mock_request.side_effect = [
SRR['is_rest'],
SRR['svm_record'], # get
SRR['empty_good'], # patch svm for allowed
SRR['empty_good'], # post to enable fcp service
SRR['end_of_sequence']
]
module = self.get_vserver_mock_object(cx_type='rest')
with pytest.raises(AnsibleExitJson) as exc:
module.apply()
assert exc.value.args[0]['changed']
assert module.use_rest
expected = call('POST', 'protocols/san/fcp/services', {'return_timeout': 30}, json={'enabled': True, 'svm.name': 'test_svm'}, headers=None)
print(mock_request.mock_calls)
assert expected in mock_request.mock_calls
@patch('ansible_collections.netapp.ontap.plugins.module_utils.netapp.OntapRestAPI.send_request')
def test_rest_successfully_enable_service(self, mock_request):
data = self.mock_args(rest=True)
data['state'] = 'present'
data['services'] = {'nfs': {'allowed': True, 'enabled': True}}
set_module_args(data)
mock_request.side_effect = [
SRR['is_rest'],
SRR['empty_good'], # post to enable FCP
SRR['end_of_sequence']
]
# modify = {'enabled_protocols': ['nfs', 'fcp']}
# current = {'enabled_protocols': ['nfs'], 'disabled_protocols': ['fcp', 'iscsi', 'nvme'], 'uuid': 'uuid'}
modify = {'services': {'nfs': {'allowed': True}, 'fcp': {'enabled': True}}}
current = {'services': {'nfs': {'allowed': True}}, 'uuid': 'uuid'}
module = self.get_vserver_mock_object(cx_type='rest')
module.modify_services(modify, current)
expected = call('POST', 'protocols/san/fcp/services', {'return_timeout': 30}, json={'enabled': True, 'svm.name': 'test_svm'}, headers=None)
print(mock_request.mock_calls)
assert expected in mock_request.mock_calls
@patch('ansible_collections.netapp.ontap.plugins.module_utils.netapp.OntapRestAPI.send_request')
def test_rest_successfully_reenable_service(self, mock_request):
data = self.mock_args(rest=True)
data['state'] = 'present'
data['services'] = {'nfs': {'allowed': True, 'enabled': True}}
set_module_args(data)
mock_request.side_effect = [
SRR['is_rest'],
SRR['empty_good'], # patch to reenable FCP
SRR['end_of_sequence']
]
# modify = {'enabled_protocols': ['nfs', 'fcp']}
fcp_dict = {'_links': {'self': {'href': 'fcp_link'}}}
# current = {'enabled_protocols': ['nfs'], 'disabled_protocols': ['fcp', 'iscsi', 'nvme'], 'uuid': 'uuid', 'fcp': fcp_dict}
modify = {'services': {'nfs': {'allowed': True}, 'fcp': {'enabled': True}}}
current = {'services': {'nfs': {'allowed': True}}, 'uuid': 'uuid', 'fcp': fcp_dict}
module = self.get_vserver_mock_object(cx_type='rest')
module.modify_services(modify, current)
expected = call('PATCH', 'protocols/san/fcp/services/uuid', {'return_timeout': 30}, json={'enabled': True}, headers=None)
print(mock_request.mock_calls)
assert expected in mock_request.mock_calls
@patch('ansible_collections.netapp.ontap.plugins.module_utils.netapp.OntapRestAPI.send_request')
def test_rest_negative_enable_service(self, mock_request):
data = self.mock_args(rest=True)
data['state'] = 'present'
data['services'] = {'nfs': {'allowed': True, 'enabled': True}}
set_module_args(data)
mock_request.side_effect = [
SRR['is_rest'],
SRR['empty_good'], # patch to reenable FCP
SRR['end_of_sequence']
]
# modify = {'enabled_protocols': ['nfs', 'bad_value']}
# current = {'enabled_protocols': ['nfs'], 'disabled_protocols': ['fcp', 'iscsi', 'nvme']}
modify = {'services': {'nfs': {'allowed': True}, 'bad_value': {'enabled': True}}, 'name': 'new_name'}
current = {'services': {'nfs': {'allowed': True}}, 'uuid': 'uuid'}
module = self.get_vserver_mock_object(cx_type='rest')
module.enablable_protocols = ['nfs', 'bad_value']
with pytest.raises(AnsibleFailJson) as exc:
module.modify_services(modify, current)
msg = 'Internal error, unexpecting service: bad_value.'
assert exc.value.args[0]['msg'] == msg
@patch('ansible_collections.netapp.ontap.plugins.module_utils.netapp.OntapRestAPI.send_request')
def test_rest_negative_modify_services(self, mock_request):
data = self.mock_args(rest=True)
data['state'] = 'present'
data['services'] = {'nfs': {'allowed': True, 'enabled': True}}
set_module_args(data)
mock_request.side_effect = [
SRR['is_rest'],
SRR['generic_error'], # patch to reenable FCP
SRR['end_of_sequence']
]
# modify = {'enabled_protocols': ['nfs', 'fcp']}
# current = {'enabled_protocols': ['nfs'], 'disabled_protocols': ['fcp', 'iscsi', 'nvme'], 'uuid': 'uuid'}
modify = {'services': {'nfs': {'allowed': True}, 'fcp': {'enabled': True}}, 'name': 'new_name'}
current = {'services': {'nfs': {'allowed': True}}, 'uuid': 'uuid'}
module = self.get_vserver_mock_object(cx_type='rest')
with pytest.raises(AnsibleFailJson) as exc:
module.modify_services(modify, current)
msg = 'Error in modify service for fcp: calling: protocols/san/fcp/services: got Expected error.'
assert exc.value.args[0]['msg'] == msg
@patch('ansible_collections.netapp.ontap.plugins.module_utils.netapp.OntapRestAPI.send_request')
def test_rest_negative_modify_current_none(self, mock_request):
data = self.mock_args(rest=True)
data['state'] = 'present'
data['services'] = {'nfs': {'allowed': True, 'enabled': True}}
set_module_args(data)
mock_request.side_effect = [
SRR['is_rest'],
SRR['end_of_sequence']
]
modify = {'enabled_protocols': ['nfs', 'fcp']}
current = None
module = self.get_vserver_mock_object(cx_type='rest')
with pytest.raises(AnsibleFailJson) as exc:
module.modify_vserver(modify, current)
msg = 'Internal error, expecting SVM object in modify.'
assert exc.value.args[0]['msg'] == msg
@patch('ansible_collections.netapp.ontap.plugins.module_utils.netapp.OntapRestAPI.send_request')
def test_rest_negative_modify_modify_none(self, mock_request):
data = self.mock_args(rest=True)
data['state'] = 'present'
data['services'] = {'nfs': {'allowed': True, 'enabled': True}}
set_module_args(data)
mock_request.side_effect = [
SRR['is_rest'],
SRR['end_of_sequence']
]
modify = {}
current = {'enabled_protocols': ['nfs'], 'disabled_protocols': ['fcp', 'iscsi', 'nvme'], 'uuid': 'uuid'}
module = self.get_vserver_mock_object(cx_type='rest')
with pytest.raises(AnsibleFailJson) as exc:
module.modify_vserver(modify, current)
msg = 'Internal error, expecting something to modify in modify.'
assert exc.value.args[0]['msg'] == msg
@patch('ansible_collections.netapp.ontap.plugins.module_utils.netapp.OntapRestAPI.send_request')
def test_rest_negative_modify_error_1(self, mock_request):
data = self.mock_args(rest=True)
data['state'] = 'present'
data['services'] = {'nfs': {'allowed': True, 'enabled': True}}
set_module_args(data)
mock_request.side_effect = [
SRR['is_rest'],
SRR['generic_error'], # patch to rename
SRR['end_of_sequence']
]
# modify = {'enabled_protocols': ['nfs', 'fcp'], 'name': 'new_name'}
# current = {'enabled_protocols': ['nfs'], 'disabled_protocols': ['fcp', 'iscsi', 'nvme'], 'uuid': 'uuid'}
modify = {'services': {'nfs': {'allowed': True}, 'fcp': {'allowed': True}}, 'name': 'new_name'}
current = {'services': {'nfs': {'allowed': True}}, 'uuid': 'uuid'}
module = self.get_vserver_mock_object(cx_type='rest')
with pytest.raises(AnsibleFailJson) as exc:
module.modify_vserver(modify, current)
msg = 'Error in rename: calling: svm/svms/uuid: got Expected error.'
assert exc.value.args[0]['msg'] == msg
@patch('ansible_collections.netapp.ontap.plugins.module_utils.netapp.OntapRestAPI.send_request')
def test_rest_negative_modify_error_2(self, mock_request):
data = self.mock_args(rest=True)
data['state'] = 'present'
data['services'] = {'nfs': {'allowed': True, 'enabled': True}}
data['language'] = 'klingon'
set_module_args(data)
mock_request.side_effect = [
SRR['is_rest'],
SRR['empty_good'], # patch to rename
SRR['generic_error'], # patch for other options
SRR['end_of_sequence']
]
modify = {'enabled_protocols': ['nfs', 'fcp'], 'name': 'new_name', 'language': 'klingon'}
current = {'enabled_protocols': ['nfs'], 'disabled_protocols': ['fcp', 'iscsi', 'nvme'], 'uuid': 'uuid'}
module = self.get_vserver_mock_object(cx_type='rest')
with pytest.raises(AnsibleFailJson) as exc:
module.modify_vserver(modify, current)
msg = 'Error in modify: calling: svm/svms/uuid: got Expected error.'
assert exc.value.args[0]['msg'] == msg
# print(mock_request.mock_calls)
@patch('ansible_collections.netapp.ontap.plugins.module_utils.netapp.OntapRestAPI.send_request')
def test_rest_successfully_get_older_rest(self, mock_request):
data = self.mock_args(rest=True)
data['state'] = 'present'
data['services'] = {'nfs': {'allowed': True, 'enabled': True}}
set_module_args(data)
mock_request.side_effect = [
SRR['is_rest_96'],
SRR['svm_record'], # get
SRR['empty_good'], # get using REST CLI
SRR['end_of_sequence']
]
module = self.get_vserver_mock_object(cx_type='rest')
details = module.get_vserver()
expected = call('GET', 'private/cli/vserver', {'fields': 'allowed_protocols', 'vserver': 'test_svm'}, headers=None)
print(mock_request.mock_calls)
print(details)
assert expected in mock_request.mock_calls
@patch('ansible_collections.netapp.ontap.plugins.module_utils.netapp.OntapRestAPI.send_request')
def test_rest_successfully_add_protocols_on_create(self, mock_request):
data = self.mock_args(rest=True)
data['state'] = 'present'
data['services'] = {'nfs': {'allowed': True, 'enabled': True}}
set_module_args(data)
mock_request.side_effect = [
SRR['is_rest_96'],
SRR['empty_good'], # get
SRR['empty_good'], # POST for create
SRR['empty_good'], # PATCH for add-protocols
SRR['end_of_sequence']
]
module = self.get_vserver_mock_object(cx_type='rest')
with pytest.raises(AnsibleExitJson) as exc:
module.apply()
expected = call('PATCH', 'private/cli/vserver/add-protocols', {'return_timeout': 30, 'vserver': 'test_svm'}, json={'protocols': ['nfs']}, headers=None)
print(mock_request.mock_calls)
assert expected in mock_request.mock_calls
@patch('ansible_collections.netapp.ontap.plugins.module_utils.netapp.OntapRestAPI.send_request')
def test_rest_successfully_add_remove_protocols_on_modify(self, mock_request):
data = self.mock_args(rest=True)
data['state'] = 'present'
data['services'] = {'nfs': {'allowed': True, 'enabled': True}, 'iscsi': {'allowed': False}, 'fcp': {'allowed': True}}
set_module_args(data)
mock_request.side_effect = [
SRR['is_rest_96'],
SRR['svm_record'], # get
SRR['cli_record'], # get for protocols
SRR['empty_good'], # PATCH for add-protocols
SRR['empty_good'], # PATCH for remove-protocols
SRR['end_of_sequence']
]
module = self.get_vserver_mock_object(cx_type='rest')
with pytest.raises(AnsibleExitJson) as exc:
module.apply()
print(mock_request.mock_calls)
expected = call('PATCH', 'private/cli/vserver/add-protocols', {'return_timeout': 30, 'vserver': 'test_svm'},
json={'protocols': ['fcp']}, headers=None)
assert expected in mock_request.mock_calls
expected = call('PATCH', 'private/cli/vserver/remove-protocols', {'return_timeout': 30, 'vserver': 'test_svm'},
json={'protocols': ['iscsi']}, headers=None)
assert expected in mock_request.mock_calls
@patch('ansible_collections.netapp.ontap.plugins.module_utils.netapp.OntapRestAPI.send_request')
def test_rest_successfully_add_remove_protocols_on_modify_old_style(self, mock_request):
data = self.mock_args(rest=True)
data['state'] = 'present'
data['allowed_protocols'] = ['nfs', 'fcp']
set_module_args(data)
mock_request.side_effect = [
SRR['is_rest_96'],
SRR['svm_record'], # get
SRR['cli_record'], # get for protocols
SRR['empty_good'], # PATCH for add-protocols
SRR['empty_good'], # PATCH for remove-protocols
SRR['end_of_sequence']
]
module = self.get_vserver_mock_object(cx_type='rest')
with pytest.raises(AnsibleExitJson) as exc:
module.apply()
print(mock_request.mock_calls)
expected = call('PATCH', 'private/cli/vserver/add-protocols', {'return_timeout': 30, 'vserver': 'test_svm'},
json={'protocols': ['fcp']}, headers=None)
assert expected in mock_request.mock_calls
expected = call('PATCH', 'private/cli/vserver/remove-protocols', {'return_timeout': 30, 'vserver': 'test_svm'},
json={'protocols': ['iscsi']}, headers=None)
assert expected in mock_request.mock_calls
@patch('ansible_collections.netapp.ontap.plugins.module_utils.netapp.OntapRestAPI.send_request')
def test_validate_int_or_string_as_int(self, mock_request):
data = self.mock_args(rest=True)
data['state'] = 'present'
data['services'] = {'nfs': {'allowed': True, 'enabled': True}}
set_module_args(data)
mock_request.side_effect = [
SRR['is_rest'],
SRR['end_of_sequence']
]
modify = {}
current = {'enabled_protocols': ['nfs'], 'disabled_protocols': ['fcp', 'iscsi', 'nvme'], 'uuid': 'uuid'}
module = self.get_vserver_mock_object(cx_type='rest')
module.validate_int_or_string('10', 'whatever')
@patch('ansible_collections.netapp.ontap.plugins.module_utils.netapp.OntapRestAPI.send_request')
def test_validate_int_or_string_as_str(self, mock_request):
data = self.mock_args(rest=True)
data['state'] = 'present'
data['services'] = {'nfs': {'allowed': True, 'enabled': True}}
set_module_args(data)
mock_request.side_effect = [
SRR['is_rest'],
SRR['end_of_sequence']
]
modify = {}
current = {'enabled_protocols': ['nfs'], 'disabled_protocols': ['fcp', 'iscsi', 'nvme'], 'uuid': 'uuid'}
module = self.get_vserver_mock_object(cx_type='rest')
module.validate_int_or_string('whatever', 'whatever')
@patch('ansible_collections.netapp.ontap.plugins.module_utils.netapp.OntapRestAPI.send_request')
def test_negative_validate_int_or_string(self, mock_request):
data = self.mock_args(rest=True)
data['state'] = 'present'
data['services'] = {'nfs': {'allowed': True, 'enabled': True}}
set_module_args(data)
mock_request.side_effect = [
SRR['is_rest'],
SRR['end_of_sequence']
]
modify = {}
current = {'enabled_protocols': ['nfs'], 'disabled_protocols': ['fcp', 'iscsi', 'nvme'], 'uuid': 'uuid'}
module = self.get_vserver_mock_object(cx_type='rest')
astring = 'testme'
with pytest.raises(AnsibleFailJson) as exc:
module.validate_int_or_string('10a', astring)
msg = "expecting int value or '%s'" % astring
assert msg in exc.value.args[0]['msg']
| 46.453125
| 159
| 0.601956
| 4,352
| 38,649
| 5.09398
| 0.079733
| 0.027787
| 0.021697
| 0.032478
| 0.784384
| 0.763138
| 0.73923
| 0.709189
| 0.689115
| 0.676395
| 0
| 0.011572
| 0.26218
| 38,649
| 831
| 160
| 46.509025
| 0.765851
| 0.077673
| 0
| 0.643258
| 0
| 0.001404
| 0.256048
| 0.097954
| 0
| 0
| 0
| 0
| 0.064607
| 1
| 0.070225
| false
| 0.002809
| 0.01264
| 0
| 0.095506
| 0.016854
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
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|
0
| 4
|
73a787b0b91377907da788cb5b3ca6ed14c0a3aa
| 7,475
|
py
|
Python
|
tests/units/transformers/test_per_column_imputer.py
|
shubhada-2019/tsfresh
|
ff69073bbb4df787fcbf277a611c6b40632e767d
|
[
"MIT"
] | 6,596
|
2016-10-26T13:05:43.000Z
|
2022-03-31T04:12:38.000Z
|
tests/units/transformers/test_per_column_imputer.py
|
shubhada-2019/tsfresh
|
ff69073bbb4df787fcbf277a611c6b40632e767d
|
[
"MIT"
] | 849
|
2016-10-26T13:52:09.000Z
|
2022-03-11T14:34:12.000Z
|
tests/units/transformers/test_per_column_imputer.py
|
shubhada-2019/tsfresh
|
ff69073bbb4df787fcbf277a611c6b40632e767d
|
[
"MIT"
] | 1,113
|
2016-10-27T19:23:54.000Z
|
2022-03-31T15:59:49.000Z
|
# -*- coding: utf-8 -*-
# This file as well as the whole tsfresh package are licenced under the MIT licence (see the LICENCE.txt)
# Maximilian Christ (maximilianchrist.com), Blue Yonder Gmbh, 2016
import warnings
from builtins import range
from unittest import TestCase
import numpy as np
import numpy.testing as npt
import pandas as pd
import pandas.testing as pdt
from sklearn.exceptions import NotFittedError
from tsfresh.transformers.per_column_imputer import PerColumnImputer
class PerColumnImputerTestCase(TestCase):
def setUp(self):
np.random.seed(0)
def test_not_fitted(self):
imputer = PerColumnImputer()
X = pd.DataFrame()
self.assertRaises(NotFittedError, imputer.transform, X)
def test_only_nans_and_infs(self):
imputer = PerColumnImputer()
X = pd.DataFrame(index=list(range(100)))
X["NaNs"] = np.nan * np.ones(100)
X["PINF"] = np.PINF * np.ones(100)
X["NINF"] = np.NINF * np.ones(100)
with warnings.catch_warnings(record=True) as w:
imputer.fit(X)
self.assertEqual(len(w), 1)
self.assertEqual(
"The columns ['NaNs' 'PINF' 'NINF'] did not have any finite values. Filling with zeros.",
str(w[0].message),
)
selected_X = imputer.transform(X)
self.assertTrue((selected_X.values == 0).all())
def test_with_numpy_array(self):
imputer = PerColumnImputer()
X = pd.DataFrame(index=list(range(100)))
X["NaNs"] = np.nan * np.ones(100)
X["PINF"] = np.PINF * np.ones(100)
X["NINF"] = np.NINF * np.ones(100)
X_numpy = X.values.copy()
with warnings.catch_warnings(record=True) as w:
imputer.fit(X)
self.assertEqual(len(w), 1)
self.assertEqual(
"The columns ['NaNs' 'PINF' 'NINF'] did not have any finite values. Filling with zeros.",
str(w[0].message),
)
selected_X = imputer.transform(X)
# re-initialize for new dicts
imputer = PerColumnImputer()
with warnings.catch_warnings(record=True) as w:
imputer.fit(X_numpy)
self.assertEqual(len(w), 1)
self.assertEqual(
"The columns [0 1 2] did not have any finite values. Filling with zeros.",
str(w[0].message),
)
selected_X_numpy = imputer.transform(X_numpy)
npt.assert_array_equal(selected_X.values, selected_X_numpy.values)
self.assertTrue(selected_X_numpy.shape, (1, 100))
def test_standard_replacement_behavior(self):
imputer = PerColumnImputer()
data = [np.NINF, np.PINF, np.nan, 100.0, -100.0, 1.0, 1.0]
truth = [-100.0, 100.0, 1.0, 100.0, -100.0, 1.0, 1.0]
X = pd.DataFrame({"a": data})
true_X = pd.DataFrame({"a": truth})
imputer.fit(X)
selected_X = imputer.transform(X)
pdt.assert_frame_equal(selected_X, true_X)
def test_partial_preset_col_to_NINF_given(self):
data = [np.NINF, np.PINF, np.nan, 100.0, -100.0, 1.0, 1.0]
truth = [-100.0, 100.0, 1.0, 100.0, -100.0, 1.0, 1.0]
X = pd.DataFrame({"a": data})
true_X = pd.DataFrame({"a": truth})
col_to_min = {"a": -100}
imputer = PerColumnImputer(col_to_NINF_repl_preset=col_to_min)
imputer.fit(X)
selected_X = imputer.transform(X)
pdt.assert_frame_equal(selected_X, true_X)
def test_partial_preset_col_to_PINF_given(self):
data = [np.NINF, np.PINF, np.nan, 100.0, -100.0, 1.0, 1.0]
truth = [-100.0, 100.0, 1.0, 100.0, -100.0, 1.0, 1.0]
X = pd.DataFrame({"a": data})
true_X = pd.DataFrame({"a": truth})
col_to_max = {"a": 100}
imputer = PerColumnImputer(col_to_PINF_repl_preset=col_to_max)
imputer.fit(X)
selected_X = imputer.transform(X)
pdt.assert_frame_equal(selected_X, true_X)
def test_partial_preset_col_to_NAN_given(self):
data = [np.NINF, np.PINF, np.nan, 100.0, -100.0, 1.0, 1.0]
truth = [-100.0, 100.0, 1.0, 100.0, -100.0, 1.0, 1.0]
X = pd.DataFrame({"a": data})
true_X = pd.DataFrame({"a": truth})
col_to_median = {"a": 1}
imputer = PerColumnImputer(col_to_NAN_repl_preset=col_to_median)
imputer.fit(X)
selected_X = imputer.transform(X)
pdt.assert_frame_equal(selected_X, true_X)
def test_different_shapes_fitted_and_transformed(self):
imputer = PerColumnImputer()
X = pd.DataFrame(index=list(range(10)))
X["a"] = np.ones(10)
imputer.fit(X)
X["b"] = np.ones(10)
self.assertRaises(ValueError, imputer.transform, X)
def test_preset_has_higher_priority_than_fit(self):
data = [np.NINF, np.PINF, np.nan, 100.0, -100.0, 1.0, 1.0]
truth = [-100.0, 100.0, 0.0, 100.0, -100.0, 1.0, 1.0]
X = pd.DataFrame({"a": data})
true_X = pd.DataFrame({"a": truth})
col_to_median = {"a": 0}
imputer = PerColumnImputer(col_to_NAN_repl_preset=col_to_median)
imputer.fit(X)
selected_X = imputer.transform(X)
pdt.assert_frame_equal(selected_X, true_X)
def test_only_parameters_of_last_fit_count(self):
data = [np.NINF, np.PINF, np.nan, 100.0, -100.0, 1.0, 1.0]
data_2 = [np.NINF, np.PINF, np.nan, 10.0, -10.0, 3.0, 3.0]
truth_a = [-10.0, 10.0, 3.0, 10.0, -10.0, 3.0, 3.0]
truth_b = [-10.0, 10.0, 3.0, 10.0, -10.0, 3.0, 3.0]
X = pd.DataFrame({"a": data, "b": data})
X_2 = pd.DataFrame({"a": data_2, "b": data_2})
true_X = pd.DataFrame({"a": truth_a, "b": truth_b})
imputer = PerColumnImputer()
imputer.fit(X)
imputer.fit(X_2)
selected_X = imputer.transform(X_2)
pdt.assert_frame_equal(selected_X, true_X)
def test_only_subset_of_columns_given(self):
data = [np.NINF, np.PINF, np.nan, 100.0, -100.0, 1.0, 1.0]
truth_a = [-100.0, 100.0, 0.0, 100.0, -100.0, 1.0, 1.0]
truth_b = [-100.0, 100.0, 1.0, 100.0, -100.0, 1.0, 1.0]
X = pd.DataFrame({"a": data, "b": data})
true_X = pd.DataFrame({"a": truth_a, "b": truth_b})
col_to_median = {"a": 0}
imputer = PerColumnImputer(col_to_NAN_repl_preset=col_to_median)
imputer.fit(X)
selected_X = imputer.transform(X)
pdt.assert_frame_equal(selected_X, true_X)
def test_NINF_preset_contains_more_columns_than_dataframe_to_fit(self):
X = pd.DataFrame(index=list(range(10)))
X["a"] = np.ones(10)
col_to_min = {"a": 0, "b": 0}
imputer = PerColumnImputer(col_to_NINF_repl_preset=col_to_min)
self.assertRaises(ValueError, imputer.fit, X)
def test_PINF_preset_contains_more_columns_than_dataframe_to_fit(self):
X = pd.DataFrame(index=list(range(10)))
X["a"] = np.ones(10)
col_to_max = {"a": 0, "b": 0}
imputer = PerColumnImputer(col_to_PINF_repl_preset=col_to_max)
self.assertRaises(ValueError, imputer.fit, X)
def test_NAN_preset_contains_more_columns_than_dataframe_to_fit(self):
X = pd.DataFrame(index=list(range(10)))
X["a"] = np.ones(10)
col_to_median = {"a": 0, "b": 0}
imputer = PerColumnImputer(col_to_NAN_repl_preset=col_to_median)
self.assertRaises(ValueError, imputer.fit, X)
| 32.359307
| 105
| 0.603746
| 1,125
| 7,475
| 3.816889
| 0.125333
| 0.039124
| 0.023055
| 0.039124
| 0.747788
| 0.729157
| 0.705636
| 0.705636
| 0.676293
| 0.653703
| 0
| 0.065853
| 0.254448
| 7,475
| 230
| 106
| 32.5
| 0.704647
| 0.029164
| 0
| 0.645161
| 0
| 0.012903
| 0.041782
| 0
| 0
| 0
| 0
| 0
| 0.135484
| 1
| 0.096774
| false
| 0
| 0.058065
| 0
| 0.16129
| 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
|
73d8a8844a2208c89ea2b1f0603dc40c3a9a54eb
| 81
|
py
|
Python
|
doc/workshop/advancedReliability/inputs/goalFunction.py
|
rinelson456/raven
|
1114246136a2f72969e75b5e99a11b35500d4eef
|
[
"Apache-2.0"
] | 159
|
2017-03-24T21:07:06.000Z
|
2022-03-20T13:44:40.000Z
|
doc/workshop/advancedReliability/inputs/goalFunction.py
|
rinelson456/raven
|
1114246136a2f72969e75b5e99a11b35500d4eef
|
[
"Apache-2.0"
] | 1,667
|
2017-03-27T14:41:22.000Z
|
2022-03-31T19:50:06.000Z
|
doc/workshop/advancedReliability/inputs/goalFunction.py
|
rinelson456/raven
|
1114246136a2f72969e75b5e99a11b35500d4eef
|
[
"Apache-2.0"
] | 95
|
2017-03-24T21:05:03.000Z
|
2022-03-08T17:30:22.000Z
|
def __residuumSign(self):
if self.outcome == 0:
return -1
else: return 1
| 16.2
| 25
| 0.654321
| 12
| 81
| 4.25
| 0.75
| 0.27451
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.048387
| 0.234568
| 81
| 4
| 26
| 20.25
| 0.774194
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
73e2319af9d7750b7289eb5afb569e209c9d68cb
| 75
|
py
|
Python
|
peekpy/exception.py
|
Xeladem/PeekPy
|
cff6f73ff5d29a022e60f6927b3e188bb10186cd
|
[
"MIT"
] | null | null | null |
peekpy/exception.py
|
Xeladem/PeekPy
|
cff6f73ff5d29a022e60f6927b3e188bb10186cd
|
[
"MIT"
] | null | null | null |
peekpy/exception.py
|
Xeladem/PeekPy
|
cff6f73ff5d29a022e60f6927b3e188bb10186cd
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
class RedisServiceException(Exception):
pass
| 12.5
| 39
| 0.653333
| 7
| 75
| 7
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.016393
| 0.186667
| 75
| 5
| 40
| 15
| 0.786885
| 0.28
| 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
|
73f6db17deb83073c79fa7b78872de4a6b4895b2
| 359
|
py
|
Python
|
regression_tests/parsers/c_parser/exprs/binary_ops/lt_op_expr.py
|
mehrdad-shokri/retdec-regression-tests-framework
|
9c3edcd0a7bc292a0d5b5cbfb4315010c78d3bc3
|
[
"MIT"
] | 21
|
2017-12-12T20:38:43.000Z
|
2019-04-14T12:46:10.000Z
|
regression_tests/parsers/c_parser/exprs/binary_ops/lt_op_expr.py
|
mehrdad-shokri/retdec-regression-tests-framework
|
9c3edcd0a7bc292a0d5b5cbfb4315010c78d3bc3
|
[
"MIT"
] | 6
|
2018-01-06T13:32:23.000Z
|
2018-09-14T15:09:11.000Z
|
regression_tests/parsers/c_parser/exprs/binary_ops/lt_op_expr.py
|
mehrdad-shokri/retdec-regression-tests-framework
|
9c3edcd0a7bc292a0d5b5cbfb4315010c78d3bc3
|
[
"MIT"
] | 11
|
2017-12-12T20:38:46.000Z
|
2018-07-19T03:12:03.000Z
|
"""
A less than operator (``<``).
"""
from regression_tests.parsers.c_parser.exprs.binary_ops.binary_op_expr import BinaryOpExpr
class LtOpExpr(BinaryOpExpr):
"""A less than operator (``<``)."""
def is_lt_op(self):
"""Returns ``True``."""
return True
def __str__(self):
return '{} < {}'.format(self.lhs, self.rhs)
| 21.117647
| 90
| 0.604457
| 43
| 359
| 4.790698
| 0.697674
| 0.048544
| 0.087379
| 0.165049
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.211699
| 359
| 16
| 91
| 22.4375
| 0.727915
| 0.214485
| 0
| 0
| 0
| 0
| 0.026923
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.166667
| 0.166667
| 1
| 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
|
fb75a8d72586d15a84032a5f168befdd13d16fc8
| 82
|
py
|
Python
|
src/hello_konsou/hello.py
|
konsou/packaging_tutorial
|
2e722a3a05043394087a122570ffddbe6f9a5550
|
[
"MIT"
] | null | null | null |
src/hello_konsou/hello.py
|
konsou/packaging_tutorial
|
2e722a3a05043394087a122570ffddbe6f9a5550
|
[
"MIT"
] | null | null | null |
src/hello_konsou/hello.py
|
konsou/packaging_tutorial
|
2e722a3a05043394087a122570ffddbe6f9a5550
|
[
"MIT"
] | null | null | null |
def hello():
print(f"Hello, world!")
if __name__ == '__main__':
hello()
| 11.714286
| 27
| 0.573171
| 10
| 82
| 3.9
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.231707
| 82
| 6
| 28
| 13.666667
| 0.619048
| 0
| 0
| 0
| 0
| 0
| 0.256098
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| true
| 0
| 0
| 0
| 0.25
| 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
| 1
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
fb8b8af6e9c56325bc0d8d78bcb9f450f6b1bb77
| 2,148
|
py
|
Python
|
test/fields_identity_tests/test_emails.py
|
koppeltatyana/python_training
|
bc07671dcb85b783a13a6b00247e4500fc3c2265
|
[
"Apache-2.0"
] | null | null | null |
test/fields_identity_tests/test_emails.py
|
koppeltatyana/python_training
|
bc07671dcb85b783a13a6b00247e4500fc3c2265
|
[
"Apache-2.0"
] | null | null | null |
test/fields_identity_tests/test_emails.py
|
koppeltatyana/python_training
|
bc07671dcb85b783a13a6b00247e4500fc3c2265
|
[
"Apache-2.0"
] | null | null | null |
from random import randrange
import allure
from model.contact import Contact
def test_emails_on_home_page(app, db):
if len(db.get_contact_list()) == 0:
with allure.step("If contact's list is empty, I'll create a new contact"):
app.contact.create(Contact(firstname="NAME"))
with allure.step("Given an index for compering"):
index = randrange(len(app.contact.get_contact_list()))
with allure.step("Given contact's by index information from home page"):
contact_from_home_page = app.contact.get_contact_list()[index]
with allure.step("Given contact's by index information from edit page"):
contact_from_edit_page = app.contact.get_contact_info_from_edit_page(index)
with allure.step("Then the contact's emails from home page is equal to the contact's emails from edit page"):
assert merge_emails_like_on_home_page(contact_from_edit_page) == contact_from_home_page.all_emails_from_home_page
def test_emails_on_contact_view_page(app, db):
if len(db.get_contact_list()) == 0:
with allure.step("If contact's list is empty, I'll create a new contact"):
app.contact.create(Contact(firstname="NAME"))
with allure.step("Given an index for compering"):
index = randrange(len(app.contact.get_contact_list()))
with allure.step("Given contact's by index information from edit page"):
contact_from_edit_page = app.contact.get_contact_info_from_edit_page(index)
with allure.step("Given contact's by index information from view page"):
contact_from_view_page = app.contact.get_contact_info_from_view_page(index)
with allure.step("Then the contact's emails from edit page is equal to the contact's emails from view page"):
assert merge_emails_like_on_home_page(contact_from_edit_page) == merge_emails_list_from_view_page(contact_from_view_page.all_emails_from_view_page)
def merge_emails_like_on_home_page(contact):
return "\n".join(filter(lambda x: x != "", [contact.email, contact.email2, contact.email3]))
def merge_emails_list_from_view_page(lst):
return "\n".join(filter(lambda x: x != "", lst))
| 53.7
| 155
| 0.743017
| 338
| 2,148
| 4.452663
| 0.177515
| 0.066445
| 0.093023
| 0.075748
| 0.854485
| 0.810631
| 0.782724
| 0.665781
| 0.665781
| 0.620598
| 0
| 0.002215
| 0.159218
| 2,148
| 39
| 156
| 55.076923
| 0.831118
| 0
| 0
| 0.451613
| 0
| 0
| 0.258845
| 0
| 0
| 0
| 0
| 0
| 0.064516
| 1
| 0.129032
| false
| 0
| 0.096774
| 0.064516
| 0.290323
| 0
| 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
|
fbb88f7d6e3d8a3d0714008f462c4915499abc5e
| 42
|
py
|
Python
|
src/web-scrapers/config.py
|
CharlesFrankum/FF_Team_Selector
|
f230904faa6713dcec97e086e14eb7d841de9278
|
[
"Apache-2.0"
] | null | null | null |
src/web-scrapers/config.py
|
CharlesFrankum/FF_Team_Selector
|
f230904faa6713dcec97e086e14eb7d841de9278
|
[
"Apache-2.0"
] | 3
|
2021-03-31T19:24:31.000Z
|
2021-12-13T20:07:43.000Z
|
src/web-scrapers/config.py
|
CharlesFrankum/FF_Team_Selector
|
f230904faa6713dcec97e086e14eb7d841de9278
|
[
"Apache-2.0"
] | 1
|
2019-08-08T06:46:13.000Z
|
2019-08-08T06:46:13.000Z
|
fantasy_email = ''
fantasy_password = ''
| 14
| 22
| 0.690476
| 4
| 42
| 6.75
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 42
| 2
| 23
| 21
| 0.771429
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.5
| 0
| 0
| 0
| 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
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
83729fdd2780eaffe278a15aded511948991a2a4
| 778
|
py
|
Python
|
test_parse_license.py
|
hjwp/tdd-fridays
|
4c2fd8c7eb25d1ebb7c43e4fbd5ba550a23af448
|
[
"Unlicense"
] | 2
|
2019-08-04T09:27:24.000Z
|
2019-09-06T10:48:08.000Z
|
test_parse_license.py
|
hjwp/tdd-fridays
|
4c2fd8c7eb25d1ebb7c43e4fbd5ba550a23af448
|
[
"Unlicense"
] | null | null | null |
test_parse_license.py
|
hjwp/tdd-fridays
|
4c2fd8c7eb25d1ebb7c43e4fbd5ba550a23af448
|
[
"Unlicense"
] | null | null | null |
import pytest
from parse_license import parse, parse_one
def test_no_children_sums_metadata():
assert parse('0 3 4 5 6') == 4 + 5 + 6
assert parse('0 2 0 7') == 7
def test_one_child():
assert parse('1 2 0 1 9 2 7') == 18
# @pytest.mark.xfail
def test_two_child():
assert parse('2 2 0 1 9 0 3 6 6 6 2 7') == 9 + 6+6+6 + 2+7
def test_two_child():
assert parse_one([1, 0, 2, 2, 0 ,1 ,9 ,0 ,3 ,6 ,6 ,6 ,2 ,7]) == (9 + 6+6+6 + 2+7, [])
def test_parse_one_for_no_children():
assert parse_one([0, 3, 4, 5, 6, 7, 8, 9]) == (4 + 5 + 6, [7, 8, 9])
assert parse_one([0, 3, 5, 6, 7, 8, 9, 10]) == (5 + 6 + 7, [8, 9, 10])
def test_parse_one_for_one_children():
assert parse_one([1, 3, 0, 2, 1, 1, 4, 5, 6, 7, 8, 9]) == (1 + 1 + 4 + 5 + 6, [7, 8, 9])
| 29.923077
| 92
| 0.551414
| 171
| 778
| 2.356725
| 0.175439
| 0.218362
| 0.044665
| 0.059553
| 0.503722
| 0.33995
| 0.163772
| 0.163772
| 0.124069
| 0.124069
| 0
| 0.188356
| 0.249357
| 778
| 26
| 93
| 29.923077
| 0.501712
| 0.023136
| 0
| 0.125
| 0
| 0
| 0.068511
| 0
| 0
| 0
| 0
| 0
| 0.5
| 1
| 0.375
| true
| 0
| 0.125
| 0
| 0.5
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
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