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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
cd59865cc99bbd34a4c7b6f23e90da1b530b8294
| 436
|
py
|
Python
|
features/__init__.py
|
jcq15/wechaty
|
b41d15c8d348dad0dbb2e16ad412006b9a1f2f54
|
[
"MIT"
] | 9
|
2020-09-07T03:12:04.000Z
|
2022-02-22T15:22:33.000Z
|
features/__init__.py
|
jcq15/wechaty
|
b41d15c8d348dad0dbb2e16ad412006b9a1f2f54
|
[
"MIT"
] | null | null | null |
features/__init__.py
|
jcq15/wechaty
|
b41d15c8d348dad0dbb2e16ad412006b9a1f2f54
|
[
"MIT"
] | 4
|
2020-09-09T13:31:14.000Z
|
2022-03-05T00:57:21.000Z
|
from features.response_message import ResponseMessage
from features.feature_manager import FeatureManager
from features.self_intro_manager import SelfIntroManager
from features.twenty_four_manager import TwentyFourManager
from features.weather_manager import WeatherManager
from features.astrology_manager import AstrologyManager
from features.calculator_manager import CalculatorManager
from features.oj_manager import OJManager
| 54.5
| 59
| 0.894495
| 50
| 436
| 7.6
| 0.46
| 0.252632
| 0
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| 0
| 0
| 0
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| 0
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| 0
| 0.087156
| 436
| 8
| 60
| 54.5
| 0.954774
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| 1
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| 1
| 0
|
0
| 5
|
26ddead54f55db38747fa0d195dd948adc95ba73
| 147
|
py
|
Python
|
sglib/_gene_annotation_functions/_print_exon_statistics.py
|
mvinyard/guideID
|
fec14c8713960428fc31f68ece7ac36a7b2bcab9
|
[
"MIT"
] | null | null | null |
sglib/_gene_annotation_functions/_print_exon_statistics.py
|
mvinyard/guideID
|
fec14c8713960428fc31f68ece7ac36a7b2bcab9
|
[
"MIT"
] | null | null | null |
sglib/_gene_annotation_functions/_print_exon_statistics.py
|
mvinyard/guideID
|
fec14c8713960428fc31f68ece7ac36a7b2bcab9
|
[
"MIT"
] | null | null | null |
def _print_exon_statistics(feature_df):
groupby_feature = feature_df.groupby("gene_feature")
return groupby_feature.describe()["length"].T
| 36.75
| 56
| 0.782313
| 19
| 147
| 5.631579
| 0.631579
| 0.168224
| 0.299065
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| 4
| 57
| 36.75
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| 0.333333
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| 0
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| 1
| 0
|
0
| 5
|
f80ca7093e5438be9637f9343133867d130408d6
| 86
|
py
|
Python
|
social/apps/flask_app/utils.py
|
raccoongang/python-social-auth
|
81c0a542d158772bd3486d31834c10af5d5f08b0
|
[
"BSD-3-Clause"
] | 1,987
|
2015-01-01T16:12:45.000Z
|
2022-03-29T14:24:25.000Z
|
social/apps/flask_app/utils.py
|
raccoongang/python-social-auth
|
81c0a542d158772bd3486d31834c10af5d5f08b0
|
[
"BSD-3-Clause"
] | 731
|
2015-01-01T22:55:25.000Z
|
2022-03-10T15:07:51.000Z
|
virtual/lib/python3.6/site-packages/social/apps/flask_app/utils.py
|
dennismwaniki67/awards
|
80ed10541f5f751aee5f8285ab1ad54cfecba95f
|
[
"MIT"
] | 1,082
|
2015-01-01T16:27:26.000Z
|
2022-03-22T21:18:33.000Z
|
from social_flask.utils import get_helper, load_strategy, load_backend, psa, strategy
| 43
| 85
| 0.848837
| 13
| 86
| 5.307692
| 0.846154
| 0
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| 0.884615
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| 1
| 0
|
0
| 5
|
f82e00e015218bb60d23d375745d910b30f15373
| 116
|
py
|
Python
|
plugins/demotoo.py
|
Fusion/reasonable-fidelity
|
02265c0d6fcc70305a6f5ef8627da1b3cb89b90f
|
[
"Apache-2.0"
] | 2
|
2018-11-19T14:07:37.000Z
|
2018-12-13T19:03:59.000Z
|
plugins/demotoo.py
|
Fusion/reasonable-fidelity
|
02265c0d6fcc70305a6f5ef8627da1b3cb89b90f
|
[
"Apache-2.0"
] | null | null | null |
plugins/demotoo.py
|
Fusion/reasonable-fidelity
|
02265c0d6fcc70305a6f5ef8627da1b3cb89b90f
|
[
"Apache-2.0"
] | null | null | null |
def get_capabilities():
return [
"bogus_capability"
]
def should_ignore_response():
return True
| 12.888889
| 29
| 0.655172
| 12
| 116
| 6
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.258621
| 116
| 8
| 30
| 14.5
| 0.837209
| 0
| 0
| 0
| 0
| 0
| 0.13913
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| true
| 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
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| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 0
| 0
|
0
| 5
|
3e07459aa034795df7de45dfd14b761927181111
| 142
|
py
|
Python
|
start.py
|
WoohTao/Scrapy_historical_weather
|
5001711287b5c8b175603fc65d704d12ee3b322e
|
[
"Apache-2.0"
] | 6
|
2018-10-20T07:34:12.000Z
|
2019-11-19T06:03:30.000Z
|
start.py
|
WoohTao/Scrapy_historical_weather
|
5001711287b5c8b175603fc65d704d12ee3b322e
|
[
"Apache-2.0"
] | 1
|
2019-11-19T06:40:16.000Z
|
2019-11-19T06:40:16.000Z
|
start.py
|
WoohTao/Scrapy_historical_weather
|
5001711287b5c8b175603fc65d704d12ee3b322e
|
[
"Apache-2.0"
] | null | null | null |
# -*- coding:utf-8 -*-
from scrapy import cmdline
# scrapy crawl itcast （itcast为爬虫名）
cmdline.execute("scrapy crawl ChineseWeather".split())
| 20.285714
| 54
| 0.732394
| 17
| 142
| 6.117647
| 0.764706
| 0.211538
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.008065
| 0.126761
| 142
| 6
| 55
| 23.666667
| 0.830645
| 0.373239
| 0
| 0
| 0
| 0
| 0.313953
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
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| null | 1
| 0
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| null | 0
| 0
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| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
3e1caf622ea42abbd3bae66bebafc2fefcea7c75
| 134
|
py
|
Python
|
code/python/driver/pathmagic.py
|
alguru/metagenemark-2
|
3389a6bb306acea87ab3ccb63c47281aadafb273
|
[
"MIT"
] | null | null | null |
code/python/driver/pathmagic.py
|
alguru/metagenemark-2
|
3389a6bb306acea87ab3ccb63c47281aadafb273
|
[
"MIT"
] | 1
|
2022-03-30T10:18:15.000Z
|
2022-03-30T10:18:15.000Z
|
code/python/driver/pathmagic.py
|
gatech-genemark/MetaGeneMark-2-exp
|
99f8cf091911b9200af97e722543ad84a247770f
|
[
"MIT"
] | 1
|
2021-04-06T12:43:12.000Z
|
2021-04-06T12:43:12.000Z
|
import os
import sys
sys.path.append(os.path.join(os.path.dirname(__file__), "../lib")) # add custom library directory to path
| 26.8
| 111
| 0.708955
| 21
| 134
| 4.333333
| 0.666667
| 0.131868
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.149254
| 134
| 4
| 112
| 33.5
| 0.798246
| 0.268657
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| 1
| 0
|
0
| 5
|
3e2eca57edb66833f56c0c1f5a18618bae70fd34
| 250
|
py
|
Python
|
python/cendalytics/budapest/dmo/__init__.py
|
jiportilla/ontology
|
8a66bb7f76f805c64fc76cfc40ab7dfbc1146f40
|
[
"MIT"
] | null | null | null |
python/cendalytics/budapest/dmo/__init__.py
|
jiportilla/ontology
|
8a66bb7f76f805c64fc76cfc40ab7dfbc1146f40
|
[
"MIT"
] | null | null | null |
python/cendalytics/budapest/dmo/__init__.py
|
jiportilla/ontology
|
8a66bb7f76f805c64fc76cfc40ab7dfbc1146f40
|
[
"MIT"
] | null | null | null |
from .cv_assembler_by_cnum import CvAssemblerByCnum
from .data_reader_for_conference import DataReaderForConference
from .data_transformer_for_conference import DataTransformerForConference
from .data_transformer_for_jrs import DataTransformerForJrs
| 50
| 73
| 0.92
| 28
| 250
| 7.785714
| 0.571429
| 0.110092
| 0.174312
| 0.201835
| 0
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| 0.064
| 250
| 4
| 74
| 62.5
| 0.931624
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| null | 0
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| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
3e392903dca6834e62559dc51edf6285188215b2
| 680
|
py
|
Python
|
dodo.py
|
sondreod/pysj
|
e3bdfbf8990edd298b39eb144426139643a0edde
|
[
"MIT"
] | 1
|
2021-12-15T14:10:48.000Z
|
2021-12-15T14:10:48.000Z
|
dodo.py
|
sondreod/pysj
|
e3bdfbf8990edd298b39eb144426139643a0edde
|
[
"MIT"
] | null | null | null |
dodo.py
|
sondreod/pysj
|
e3bdfbf8990edd298b39eb144426139643a0edde
|
[
"MIT"
] | null | null | null |
def task_format():
return {
"actions": ["black .", "isort ."],
"verbosity": 2,
}
def task_test():
return {
"actions": ["tox -e py39"],
"verbosity": 2,
}
def task_fulltest():
return {
"actions": ["tox --skip-missing-interpreters"],
"verbosity": 2,
}
def task_build():
return {
"actions": ["flit build"],
"task_dep": ["precommit"],
"verbosity": 2,
}
def task_publish():
return {
"actions": ["flit publish"],
"task_dep": ["build"],
"verbosity": 2,
}
def task_precommit():
return {"actions": None, "task_dep": ["format", "fulltest"]}
| 17
| 64
| 0.492647
| 64
| 680
| 5.09375
| 0.359375
| 0.128834
| 0.199387
| 0.260736
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.015054
| 0.316176
| 680
| 39
| 65
| 17.435897
| 0.686022
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| 0.344828
| 0
| 0
| 0.319118
| 0.039706
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| 0.206897
| true
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| 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
| 0
| 0
|
0
| 5
|
3e5012a8e7a11a50de0e51ca1f0179e87e5483ac
| 189
|
py
|
Python
|
cm/framework/messages/utils.py
|
adrianppg/cloudman
|
0e9dd73584847a0125251bd9b6c3e4633007d928
|
[
"MIT"
] | 1
|
2021-02-28T18:59:50.000Z
|
2021-02-28T18:59:50.000Z
|
cm/framework/messages/utils.py
|
almahmoud/cloudman
|
41067dfd66c6334313069874f5f26e5a06884b71
|
[
"MIT"
] | 1
|
2015-04-13T01:45:41.000Z
|
2015-04-17T01:17:01.000Z
|
cm/framework/messages/utils.py
|
almahmoud/cloudman
|
41067dfd66c6334313069874f5f26e5a06884b71
|
[
"MIT"
] | null | null | null |
from cm.framework.messages import constants
def get_level_tags():
"""
Returns the message level tags.
"""
level_tags = constants.DEFAULT_TAGS.copy()
return level_tags
| 18.9
| 46
| 0.698413
| 24
| 189
| 5.291667
| 0.666667
| 0.283465
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.21164
| 189
| 9
| 47
| 21
| 0.852349
| 0.164021
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0
| 0.75
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 5
|
e44ed57975c64db4895a48588b048a1e8c6329a4
| 523
|
py
|
Python
|
d2ix/preprocess/__init__.py
|
tum-ewk/d2ix_public
|
dffcb474f51ccdc03a339e306b61b88c224a332d
|
[
"Apache-2.0"
] | 2
|
2019-12-16T20:48:10.000Z
|
2020-11-24T03:20:36.000Z
|
d2ix/preprocess/__init__.py
|
tum-ewk/d2ix_public
|
dffcb474f51ccdc03a339e306b61b88c224a332d
|
[
"Apache-2.0"
] | 4
|
2019-04-15T08:03:23.000Z
|
2019-04-15T08:05:17.000Z
|
d2ix/preprocess/__init__.py
|
tum-ewk/d2ix_public
|
dffcb474f51ccdc03a339e306b61b88c224a332d
|
[
"Apache-2.0"
] | 8
|
2019-03-13T06:51:22.000Z
|
2020-08-31T11:04:56.000Z
|
from d2ix.preprocess.base_techs import process_base_techs
from d2ix.preprocess.demand import process_demand
from d2ix.preprocess.level import process_level
from d2ix.preprocess.lvl_spatial import process_lvl_spatial
from d2ix.preprocess.map_spatial_hierarchy import process_map_spatial_hierarchy
from d2ix.preprocess.spatial_locations import process_spatial_locations
from d2ix.preprocess.spec_techs import process_spec_techs
from d2ix.preprocess.units import process_units
from d2ix.preprocess.util import get_year_vector
| 52.3
| 79
| 0.89675
| 76
| 523
| 5.881579
| 0.263158
| 0.161074
| 0.362416
| 0.102908
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.01848
| 0.068834
| 523
| 9
| 80
| 58.111111
| 0.899384
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 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
| 1
| 0
|
0
| 5
|
e470798fa3cc0f60106bdf8506637d5fa96a3489
| 250
|
py
|
Python
|
generated-libraries/python/netapp/snapmirror_policy/sm_transfer_priority_enum.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/snapmirror_policy/sm_transfer_priority_enum.py
|
radekg/netapp-ontap-lib-get
|
6445ebb071ec147ea82a486fbe9f094c56c5c40d
|
[
"MIT"
] | null | null | null |
generated-libraries/python/netapp/snapmirror_policy/sm_transfer_priority_enum.py
|
radekg/netapp-ontap-lib-get
|
6445ebb071ec147ea82a486fbe9f094c56c5c40d
|
[
"MIT"
] | null | null | null |
class SmTransferPriorityEnum(basestring):
"""
low|normal
Possible values:
<ul>
<li> "low" ,
<li> "normal"
</ul>
"""
@staticmethod
def get_api_name():
return "sm-transfer-priority-enum"
| 16.666667
| 44
| 0.528
| 23
| 250
| 5.652174
| 0.826087
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.336
| 250
| 14
| 45
| 17.857143
| 0.783133
| 0.28
| 0
| 0
| 0
| 0
| 0.173611
| 0.173611
| 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
|
e476b381a79e451ab834eb18dd23ad107708f77a
| 1,254
|
py
|
Python
|
Gravity Engine/Gravity_Maths/Feeder.py
|
pootatookun/Gravity-Engine
|
d9b35dc20e85338ef045833a320c41667bf55ce0
|
[
"MIT"
] | 1
|
2021-06-11T11:18:52.000Z
|
2021-06-11T11:18:52.000Z
|
Gravity Engine/Gravity_Maths/Feeder.py
|
pootatookun/Gravity-Engine-Beta-v1.0-0_0
|
d9b35dc20e85338ef045833a320c41667bf55ce0
|
[
"MIT"
] | 1
|
2021-06-20T13:11:44.000Z
|
2021-06-20T13:11:44.000Z
|
Gravity Engine/Gravity_Maths/Feeder.py
|
pootatookun/Gravity-Engine
|
d9b35dc20e85338ef045833a320c41667bf55ce0
|
[
"MIT"
] | null | null | null |
import numpy as nn
class Feeder(object):
def __init__(self, mass_array, multiplier, *position_coordinates) -> None:
self.position_coordinates_ = nn.array([i for i in list(zip(position_coordinates[0],position_coordinates[1]))])
self.multiplier_ = multiplier
self.mass_array_ = nn.array(mass_array)
self.initial_speed_array_ = nn.zeros([len(self.position_coordinates_)])
self.multiplying_multiplier()
def multiplying_multiplier(self):
self.position_coordinates_ = self.position_coordinates_ * self.multiplier_
def multiplier(self):
return self.multiplier_
def no_of_particles(self):
return len(self.position_coordinates_)
def position_coordinates(self):
return self.position_coordinates_
def mass_array(self):
return self.mass_array_
def initial_speed_array(self):
return self.initial_speed_array_
def set_position_coordinates(self, position_coordinates):
self.position_coordinates_ = position_coordinates
def set_mass_array(self, mass_array):
self.mass_array_ = mass_array
def set_initial_speed_array(self, inital_speed_array):
self.initial_speed_array_ = inital_speed_array
| 32.153846
| 118
| 0.720096
| 150
| 1,254
| 5.593333
| 0.226667
| 0.317044
| 0.219309
| 0.128725
| 0.240763
| 0.137068
| 0
| 0
| 0
| 0
| 0
| 0.002002
| 0.203349
| 1,254
| 38
| 119
| 33
| 0.837838
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.384615
| false
| 0
| 0.038462
| 0.192308
| 0.653846
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
e48576a388ce0abbc98084078fdfa291351bb93f
| 2,088
|
py
|
Python
|
GeoPrivacy/metrics.py
|
quao627/GeoPrivacy
|
681a2ea8c403407a9c66a24e69f84cf0debc14f6
|
[
"MIT"
] | 4
|
2021-07-01T07:52:48.000Z
|
2022-01-06T07:51:41.000Z
|
GeoPrivacy/metrics.py
|
quao627/GeoPrivacy
|
681a2ea8c403407a9c66a24e69f84cf0debc14f6
|
[
"MIT"
] | null | null | null |
GeoPrivacy/metrics.py
|
quao627/GeoPrivacy
|
681a2ea8c403407a9c66a24e69f84cf0debc14f6
|
[
"MIT"
] | null | null | null |
import math
from geopy.distance import geodesic
def euclidean(pt1, pt2):
"""
This function calculates the euclidean distance between two points.
Parameters
----------
pt1 : tuple or list
The coordinates of the first point. Eg. (41.58, -74.35)
pt2 : tuple or list
The coordinates of the second point. Eg. (41.58, -74.35)
Returns
-------
dist : float
The euclidean distance between pt1 and pt2.
"""
x_diff = pt1[0] - pt2[0]
y_diff = pt1[1] - pt2[1]
dist = math.sqrt(pow(x_diff, 2) + pow(y_diff, 2))
return dist
def geodesic_mile(pt1, pt2, lat_first=True):
"""
This function calculates the mile distance between two points.
Parameters
----------
pt1 : tuple or list
The coordinates of the first point. Eg. (41.58, -74.35)
pt2 : tuple or list
The coordinates of the second point. Eg. (41.58, -74.35)
lat_first (optional) : boolean, default True
True if the format of coordinates is (lat, lon).
Returns
-------
dist : float
The mile distance between pt1 and pt2.
"""
if not lat_first:
pt1 = (pt1[1], pt1[0])
pt2 = (pt2[1], pt2[0])
dist = geodesic(pt1, pt2).miles
return dist
def geodesic_km(pt1, pt2, lat_first=True):
"""
This function calculates the kilometer distance between two points.
Parameters
----------
pt1 : tuple or list
The coordinates of the first point. Eg. (41.58, -74.35)
pt2 : tuple or list
The coordinates of the second point. Eg. (41.58, -74.35)
lat_first (optional) : boolean, default True
True if the format of coordinates is (lat, lon).
Returns
-------
dist : float
The kilometer distance between pt1 and pt2.
"""
if not lat_first:
pt1 = (pt1[1], pt1[0])
pt2 = (pt2[1], pt2[0])
dist = geodesic(pt1, pt2).km
return dist
| 26.43038
| 75
| 0.548372
| 274
| 2,088
| 4.135037
| 0.211679
| 0.079435
| 0.058252
| 0.074139
| 0.76346
| 0.742277
| 0.742277
| 0.742277
| 0.742277
| 0.666372
| 0
| 0.072622
| 0.340517
| 2,088
| 78
| 76
| 26.769231
| 0.750182
| 0.562739
| 0
| 0.473684
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.157895
| false
| 0
| 0.105263
| 0
| 0.421053
| 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
|
e49b742549cab2b9d1745648fabf3160bdb11acc
| 2,278
|
py
|
Python
|
testing/data_validation/generate-random-ansatz-params.py
|
kottmanj/z-quantum-core
|
21752e92e79aafedbfeb6e7ae196bdc2fd5803e4
|
[
"Apache-2.0"
] | null | null | null |
testing/data_validation/generate-random-ansatz-params.py
|
kottmanj/z-quantum-core
|
21752e92e79aafedbfeb6e7ae196bdc2fd5803e4
|
[
"Apache-2.0"
] | null | null | null |
testing/data_validation/generate-random-ansatz-params.py
|
kottmanj/z-quantum-core
|
21752e92e79aafedbfeb6e7ae196bdc2fd5803e4
|
[
"Apache-2.0"
] | null | null | null |
import json
import sys
with open(sys.argv[1], "r") as f:
workflowresult = json.loads(f.read())
assert len(workflowresult.keys()) == 2
for key in workflowresult.keys():
assert workflowresult[key]["class"] == "generate-random-ansatz-params"
if workflowresult[key]["inputParam:ansatz-specs"] != "None":
assert (
workflowresult[key]["inputParam:ansatz-specs"]
== "{'module_name': 'zquantum.core.interfaces.mock_objects', 'function_name': 'MockAnsatz', 'number_of_layers': 2, 'problem_size': 2}"
)
assert workflowresult[key]["inputParam:number-of-params"] == "None"
assert workflowresult[key]["inputParam:min-val"] == "-3.14"
assert workflowresult[key]["inputParam:max-val"] == "3.14"
assert workflowresult[key]["inputParam:seed"] == "1234"
assert (
workflowresult[key]["params"]["schema"]
== "zapata-v1-circuit_template_params"
)
assert (
workflowresult[key]["params"]["parameters"]["real"][0]
== -1.9372578516205565
)
assert (
workflowresult[key]["params"]["parameters"]["real"][1] == 0.7668430821301442
)
if workflowresult[key]["inputParam:number-of-params"] != "None":
assert workflowresult[key]["inputParam:ansatz-specs"] == "None"
assert workflowresult[key]["inputParam:number-of-params"] == "4"
assert workflowresult[key]["inputParam:min-val"] == "-3.14"
assert workflowresult[key]["inputParam:max-val"] == "3.14"
assert workflowresult[key]["inputParam:seed"] == "1234"
assert (
workflowresult[key]["params"]["schema"]
== "zapata-v1-circuit_template_params"
)
assert (
workflowresult[key]["params"]["parameters"]["real"][0]
== -1.9372578516205565
)
assert (
workflowresult[key]["params"]["parameters"]["real"][1] == 0.7668430821301442
)
assert (
workflowresult[key]["params"]["parameters"]["real"][2]
== -0.3910697990353209
)
assert (
workflowresult[key]["params"]["parameters"]["real"][3] == 1.7920519057224706
)
print("Workflow result is as expected")
| 36.15873
| 146
| 0.585601
| 220
| 2,278
| 6.018182
| 0.309091
| 0.269637
| 0.33006
| 0.249245
| 0.743958
| 0.743958
| 0.679003
| 0.655589
| 0.655589
| 0.655589
| 0
| 0.078397
| 0.244074
| 2,278
| 62
| 147
| 36.741935
| 0.690476
| 0
| 0
| 0.480769
| 0
| 0.019231
| 0.306848
| 0.12511
| 0
| 0
| 0
| 0
| 0.384615
| 1
| 0
| false
| 0
| 0.038462
| 0
| 0.038462
| 0.019231
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
e4a0cc44cd348cb8fadb281e70ec8b3a9e720410
| 52
|
py
|
Python
|
src/gridemissions/viz/__init__.py
|
elijahjpassmore/gridemissions
|
18f773494c49034a5dc1488cd16f1f8b52445c18
|
[
"MIT"
] | 4
|
2021-03-24T06:06:03.000Z
|
2022-03-12T13:55:30.000Z
|
src/gridemissions/viz/__init__.py
|
elijahjpassmore/gridemissions
|
18f773494c49034a5dc1488cd16f1f8b52445c18
|
[
"MIT"
] | null | null | null |
src/gridemissions/viz/__init__.py
|
elijahjpassmore/gridemissions
|
18f773494c49034a5dc1488cd16f1f8b52445c18
|
[
"MIT"
] | 1
|
2022-03-28T16:58:54.000Z
|
2022-03-28T16:58:54.000Z
|
from .base import set_plots, heatmap, add_watermark
| 26
| 51
| 0.826923
| 8
| 52
| 5.125
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.115385
| 52
| 1
| 52
| 52
| 0.891304
| 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
|
e4cebe93b7f98fe96eba2b4400344e16a3f3353d
| 102
|
py
|
Python
|
nncls/utils/__init__.py
|
xiaohu2015/nncls
|
b7071b69c0ca9521e914eab2f8dcfaf1a80723d6
|
[
"Apache-2.0"
] | 8
|
2021-11-10T13:09:26.000Z
|
2021-12-12T00:11:46.000Z
|
nncls/utils/__init__.py
|
xiaohu2015/nncls
|
b7071b69c0ca9521e914eab2f8dcfaf1a80723d6
|
[
"Apache-2.0"
] | null | null | null |
nncls/utils/__init__.py
|
xiaohu2015/nncls
|
b7071b69c0ca9521e914eab2f8dcfaf1a80723d6
|
[
"Apache-2.0"
] | null | null | null |
from .registry import Registry
from .torch_utils import load_state_dict_from_url, _log_api_usage_once
| 34
| 70
| 0.882353
| 17
| 102
| 4.764706
| 0.764706
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.088235
| 102
| 2
| 71
| 51
| 0.870968
| 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
|
e4eed99229a7f821d7de536596e36e61ede0d7e0
| 69
|
py
|
Python
|
f1.py
|
fengshou12/test001
|
58d325b2d3816dd1ff65d87fb68f696cd417ab08
|
[
"MIT"
] | 1
|
2019-12-30T02:55:03.000Z
|
2019-12-30T02:55:03.000Z
|
f1.py
|
fengshou12/test001
|
58d325b2d3816dd1ff65d87fb68f696cd417ab08
|
[
"MIT"
] | null | null | null |
f1.py
|
fengshou12/test001
|
58d325b2d3816dd1ff65d87fb68f696cd417ab08
|
[
"MIT"
] | null | null | null |
num1 = 10, num=10
num2 = 20
num3=213412
print('ｄｅｖ写的')
=
123231312
| 7.666667
| 17
| 0.666667
| 11
| 69
| 4.181818
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.428571
| 0.188406
| 69
| 8
| 18
| 8.625
| 0.392857
| 0
| 0
| 0
| 0
| 0
| 0.072464
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.166667
| 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
|
903609aa1026f91d672d62f00da65259dba612ec
| 972
|
py
|
Python
|
spec/python/test_bits_simple_le.py
|
DarkShadow44/kaitai_struct_tests
|
4bb13cef82965cca66dda2eb2b77cd64e9f70a12
|
[
"MIT"
] | 11
|
2018-04-01T03:58:15.000Z
|
2021-08-14T09:04:55.000Z
|
spec/python/test_bits_simple_le.py
|
DarkShadow44/kaitai_struct_tests
|
4bb13cef82965cca66dda2eb2b77cd64e9f70a12
|
[
"MIT"
] | 73
|
2016-07-20T10:27:15.000Z
|
2020-12-17T18:56:46.000Z
|
spec/python/test_bits_simple_le.py
|
DarkShadow44/kaitai_struct_tests
|
4bb13cef82965cca66dda2eb2b77cd64e9f70a12
|
[
"MIT"
] | 37
|
2016-08-15T08:25:56.000Z
|
2021-08-28T14:48:46.000Z
|
# Autogenerated from KST: please remove this line if doing any edits by hand!
import unittest
from bits_simple_le import BitsSimpleLe
class TestBitsSimpleLe(unittest.TestCase):
def test_bits_simple_le(self):
with BitsSimpleLe.from_file('src/fixed_struct.bin') as r:
self.assertEqual(r.byte_1, 80)
self.assertEqual(r.byte_2, 65)
self.assertEqual(r.bits_a, True)
self.assertEqual(r.bits_b, 1)
self.assertEqual(r.bits_c, 4)
self.assertEqual(r.large_bits_1, 331)
self.assertEqual(r.spacer, 3)
self.assertEqual(r.large_bits_2, 393)
self.assertEqual(r.normal_s2, -1)
self.assertEqual(r.byte_8_9_10, 4407632)
self.assertEqual(r.byte_11_to_14, 760556875)
self.assertEqual(r.byte_15_to_19, 1099499455812)
self.assertEqual(r.byte_20_to_27, 18446744073709551615)
self.assertEqual(r.test_if_b1, 123)
| 38.88
| 77
| 0.661523
| 135
| 972
| 4.533333
| 0.496296
| 0.343137
| 0.366013
| 0.196078
| 0.081699
| 0
| 0
| 0
| 0
| 0
| 0
| 0.120219
| 0.246914
| 972
| 24
| 78
| 40.5
| 0.715847
| 0.07716
| 0
| 0
| 1
| 0
| 0.022346
| 0
| 0
| 0
| 0
| 0
| 0.736842
| 1
| 0.052632
| false
| 0
| 0.105263
| 0
| 0.210526
| 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
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
90424f3b405014b5b48a03073590bd2a9b2c35f5
| 164
|
py
|
Python
|
facebook/feincms/urls.py
|
christianbertschy/django-facebook-graph
|
066e4b6a179d04a548795a48e122a7db687619ae
|
[
"Apache-2.0"
] | 1
|
2015-09-24T00:36:28.000Z
|
2015-09-24T00:36:28.000Z
|
facebook/feincms/urls.py
|
christianbertschy/django-facebook-graph
|
066e4b6a179d04a548795a48e122a7db687619ae
|
[
"Apache-2.0"
] | null | null | null |
facebook/feincms/urls.py
|
christianbertschy/django-facebook-graph
|
066e4b6a179d04a548795a48e122a7db687619ae
|
[
"Apache-2.0"
] | null | null | null |
from django.conf.urls.defaults import *
from views import redirect_to_slug
urlpatterns = patterns('',
url(r'^$', redirect_to_slug, name='redirect_to_slug'),
)
| 23.428571
| 58
| 0.743902
| 23
| 164
| 5.043478
| 0.652174
| 0.258621
| 0.362069
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.121951
| 164
| 7
| 59
| 23.428571
| 0.805556
| 0
| 0
| 0
| 0
| 0
| 0.109091
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.4
| 0
| 0.4
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
5f39db4cd3e4b72a89d9712dca06e829fd0fd085
| 22
|
py
|
Python
|
src/tests.py
|
itsMatiYo/Wikipedia-pictures-downloader-bot
|
594ceed94aec3543fc78c41e674c32b3e53b8366
|
[
"MIT"
] | 7
|
2021-11-08T09:10:41.000Z
|
2022-03-04T10:38:49.000Z
|
src/tests.py
|
itsMatiYo/Wikipedia-pictures-downloader-bot
|
594ceed94aec3543fc78c41e674c32b3e53b8366
|
[
"MIT"
] | null | null | null |
src/tests.py
|
itsMatiYo/Wikipedia-pictures-downloader-bot
|
594ceed94aec3543fc78c41e674c32b3e53b8366
|
[
"MIT"
] | null | null | null |
# pytests coming soon
| 11
| 21
| 0.772727
| 3
| 22
| 5.666667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.181818
| 22
| 1
| 22
| 22
| 0.944444
| 0.863636
| 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
|
5f43212f119a1ff4afa6858fc13f7c21007d8da9
| 989
|
py
|
Python
|
third_party/saltedge/test/test_providers_api.py
|
ltowarek/budget-supervisor
|
862a2d720aecd4ad2fded9c63bc839190ebbc77e
|
[
"MIT"
] | 1
|
2022-03-01T10:28:31.000Z
|
2022-03-01T10:28:31.000Z
|
third_party/saltedge/test/test_providers_api.py
|
ltowarek/budget-supervisor
|
862a2d720aecd4ad2fded9c63bc839190ebbc77e
|
[
"MIT"
] | 75
|
2020-11-07T20:14:55.000Z
|
2021-10-05T15:08:22.000Z
|
third_party/saltedge/test/test_providers_api.py
|
ltowarek/budget-supervisor
|
862a2d720aecd4ad2fded9c63bc839190ebbc77e
|
[
"MIT"
] | null | null | null |
# coding: utf-8
"""
Salt Edge Account Information API
API Reference for services # noqa: E501
OpenAPI spec version: 5.0.0
Contact: support@saltedge.com
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import unittest
import swagger_client
from swagger_client.api.providers_api import ProvidersApi # noqa: E501
from swagger_client.rest import ApiException
class TestProvidersApi(unittest.TestCase):
"""ProvidersApi unit test stubs"""
def setUp(self):
self.api = ProvidersApi() # noqa: E501
def tearDown(self):
pass
def test_providers_get(self):
"""Test case for providers_get
List of providers # noqa: E501
"""
pass
def test_providers_provider_code_get(self):
"""Test case for providers_provider_code_get
Show a provider # noqa: E501
"""
pass
if __name__ == '__main__':
unittest.main()
| 20.604167
| 71
| 0.672396
| 121
| 989
| 5.272727
| 0.504132
| 0.062696
| 0.053292
| 0.062696
| 0.08464
| 0.08464
| 0
| 0
| 0
| 0
| 0
| 0.025367
| 0.242669
| 989
| 47
| 72
| 21.042553
| 0.826435
| 0.403438
| 0
| 0.1875
| 1
| 0
| 0.015656
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0.1875
| 0.3125
| 0
| 0.625
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 1
| 0
| 1
| 0
|
0
| 5
|
5f58059ae0b8051c288c7cac431227947bd08d35
| 130
|
py
|
Python
|
survey/admin.py
|
viethngn/Data_Collection_Demo
|
c83b648ad066083d3df52f8dab3f280e9713e51f
|
[
"MIT"
] | null | null | null |
survey/admin.py
|
viethngn/Data_Collection_Demo
|
c83b648ad066083d3df52f8dab3f280e9713e51f
|
[
"MIT"
] | null | null | null |
survey/admin.py
|
viethngn/Data_Collection_Demo
|
c83b648ad066083d3df52f8dab3f280e9713e51f
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
# Register your models here.
from .models import SurveyResult
admin.site.register(SurveyResult)
| 21.666667
| 33
| 0.823077
| 17
| 130
| 6.294118
| 0.647059
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.115385
| 130
| 5
| 34
| 26
| 0.930435
| 0.2
| 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
|
5fc8e9cc9b73d2784094080988dc5d4820700b46
| 253
|
py
|
Python
|
RecoLocalTracker/SiStripRecHitConverter/python/customiseNewStripCPE.py
|
ckamtsikis/cmssw
|
ea19fe642bb7537cbf58451dcf73aa5fd1b66250
|
[
"Apache-2.0"
] | 852
|
2015-01-11T21:03:51.000Z
|
2022-03-25T21:14:00.000Z
|
RecoLocalTracker/SiStripRecHitConverter/python/customiseNewStripCPE.py
|
ckamtsikis/cmssw
|
ea19fe642bb7537cbf58451dcf73aa5fd1b66250
|
[
"Apache-2.0"
] | 30,371
|
2015-01-02T00:14:40.000Z
|
2022-03-31T23:26:05.000Z
|
RecoLocalTracker/SiStripRecHitConverter/python/customiseNewStripCPE.py
|
ckamtsikis/cmssw
|
ea19fe642bb7537cbf58451dcf73aa5fd1b66250
|
[
"Apache-2.0"
] | 3,240
|
2015-01-02T05:53:18.000Z
|
2022-03-31T17:24:21.000Z
|
import FWCore.ParameterSet.Config as cms
def customiseNewStripCPE(process):
process.StripCPEfromTrackAngleESProducer.parameters.useLegacyError = True
process.StripCPEfromTrackAngleESProducer.parameters.maxChgOneMIP = -6000.
return process
| 31.625
| 77
| 0.83004
| 21
| 253
| 10
| 0.761905
| 0.371429
| 0.466667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.017778
| 0.110672
| 253
| 7
| 78
| 36.142857
| 0.915556
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.2
| 0
| 0.6
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 5
|
39a8a539955b45a1f2d27fed752e7287009ebe30
| 125
|
py
|
Python
|
DiamondModels/modelos/admin.py
|
FR98/diamond-models
|
d478aca90481baef13ba604de180ed89f5964f17
|
[
"MIT"
] | null | null | null |
DiamondModels/modelos/admin.py
|
FR98/diamond-models
|
d478aca90481baef13ba604de180ed89f5964f17
|
[
"MIT"
] | null | null | null |
DiamondModels/modelos/admin.py
|
FR98/diamond-models
|
d478aca90481baef13ba604de180ed89f5964f17
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from modelos.models import Modelo
# Register your models here.
admin.site.register(Modelo)
| 20.833333
| 33
| 0.816
| 18
| 125
| 5.666667
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.12
| 125
| 6
| 34
| 20.833333
| 0.927273
| 0.208
| 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
|
39ccc06864ab736d85f84828c7eaaa194b46cb90
| 1,305
|
py
|
Python
|
smbl/prog/plugins/gnuplot.py
|
karel-brinda/snakemake-lib
|
5922fa2fc4060d86172e991361a1cceb0af51af8
|
[
"MIT"
] | 26
|
2015-03-16T03:37:02.000Z
|
2021-01-18T17:34:16.000Z
|
smbl/prog/plugins/gnuplot.py
|
karel-brinda/smbl
|
5922fa2fc4060d86172e991361a1cceb0af51af8
|
[
"MIT"
] | 12
|
2015-02-05T10:57:16.000Z
|
2016-06-07T18:09:57.000Z
|
smbl/prog/plugins/gnuplot.py
|
karel-brinda/snakemake-lib
|
5922fa2fc4060d86172e991361a1cceb0af51af8
|
[
"MIT"
] | 6
|
2015-06-03T20:06:49.000Z
|
2020-12-13T09:48:03.000Z
|
#
# TODO:
# - fix CygWin error
#
import smbl
import snakemake
import os
from ._program import *
GNUPLOT4 = get_bin_file_path("gnuplot4")
GNUPLOT5 = get_bin_file_path("gnuplot5")
##########################################
##########################################
class GnuPlot4(Program):
@classmethod
def get_installation_files(cls):
return [
GNUPLOT4,
]
@classmethod
def install(cls):
fn=cls.download_file("http://sourceforge.net/projects/gnuplot/files/gnuplot/4.6.6/gnuplot-4.6.6.tar.gz/download","gnuplot.tar.gz")
dir=cls.extract_tar(fn,strip=1)
cls.run_configure(dir,other_args="--with-pdf")
cls.run_make(dir)
cls.install_file("src/gnuplot",GNUPLOT4)
@classmethod
def supported_platforms(cls):
return ["osx","linux"]
class GnuPlot5(Program):
@classmethod
def get_installation_files(cls):
return [
GNUPLOT5,
]
@classmethod
def install(cls):
fn=cls.download_file("http://sourceforge.net/projects/gnuplot/files/gnuplot/5.0.0/gnuplot-5.0.0.tar.gz/download","gnuplot.tar.gz")
dir=cls.extract_tar(fn,strip=1)
cls.run_configure(dir,other_args="--with-pdf")
cls.run_make(dir)
cls.install_file("src/gnuplot",GNUPLOT5)
@classmethod
def supported_platforms(cls):
return ["osx","linux"]
| 22.5
| 133
| 0.649042
| 169
| 1,305
| 4.863905
| 0.313609
| 0.10219
| 0.024331
| 0.034063
| 0.742092
| 0.742092
| 0.742092
| 0.742092
| 0.501217
| 0.501217
| 0
| 0.021641
| 0.150192
| 1,305
| 57
| 134
| 22.894737
| 0.719567
| 0.019157
| 0
| 0.578947
| 0
| 0.052632
| 0.246914
| 0
| 0
| 0
| 0
| 0.017544
| 0
| 1
| 0.157895
| false
| 0
| 0.105263
| 0.105263
| 0.421053
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 5
|
39d60e36698e11fb22a4745fc2718a4460abb0aa
| 201
|
py
|
Python
|
fanfou/__init__.py
|
LitoMore/fanfou-py
|
775f34c47b8d3ae03b877e853c0c194d0769f460
|
[
"MIT"
] | 42
|
2017-05-28T01:32:33.000Z
|
2021-12-30T12:32:11.000Z
|
fanfou/__init__.py
|
LitoMore/fanfou-py
|
775f34c47b8d3ae03b877e853c0c194d0769f460
|
[
"MIT"
] | null | null | null |
fanfou/__init__.py
|
LitoMore/fanfou-py
|
775f34c47b8d3ae03b877e853c0c194d0769f460
|
[
"MIT"
] | 11
|
2017-07-21T08:00:36.000Z
|
2021-12-30T12:32:12.000Z
|
from fanfou.auth import OAuth, XAuth
from fanfou.photo import pack_image
from fanfou.api import bound, print_api
__version__ = '0.2.6'
__all__ = ['OAuth', 'XAuth', 'pack_image', 'bound', 'print_api']
| 28.714286
| 64
| 0.741294
| 31
| 201
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| 0
| 1
| 0
|
0
| 5
|
39e77ff7ec36ba1dfe2bc1178e17e2fad6b9a03c
| 1,588
|
py
|
Python
|
src/utils/permissions_manager.py
|
gastbob40/discord_brawl_bot
|
90ee7ef6492b5e4272a8baa42fd97f8369b07864
|
[
"MIT"
] | null | null | null |
src/utils/permissions_manager.py
|
gastbob40/discord_brawl_bot
|
90ee7ef6492b5e4272a8baa42fd97f8369b07864
|
[
"MIT"
] | null | null | null |
src/utils/permissions_manager.py
|
gastbob40/discord_brawl_bot
|
90ee7ef6492b5e4272a8baa42fd97f8369b07864
|
[
"MIT"
] | null | null | null |
import discord
import yaml
class PermissionsManager:
@staticmethod
def has_perm(member: discord.Member, perm_name: str) -> bool:
with open('src/_data/permissions.yml', 'r') as file:
permissions = yaml.safe_load(file)
if perm_name not in permissions:
raise Exception(f'{perm_name} not found in configuration file')
for role in member.roles:
if role.id in permissions[perm_name]:
return True
return False
@staticmethod
def add_perm(perm_name: str, role_id: int) -> bool:
with open('src/_data/permissions.yml', 'r') as file:
permissions = yaml.safe_load(file)
if perm_name not in permissions:
raise Exception(f'{perm_name} not found in configuration file')
permissions[perm_name].append(role_id)
with open('src/_data/permissions.yml', 'w', encoding='utf8') as outfile:
yaml.dump(permissions, outfile, default_flow_style=False, allow_unicode=True)
return True
@staticmethod
def remove_perm(perm_name: str, role_id: int) -> bool:
with open('src/_data/permissions.yml', 'r') as file:
permissions = yaml.safe_load(file)
if perm_name not in permissions:
raise Exception(f'{perm_name} not found in configuration file')
permissions[perm_name].remove(role_id)
with open('src/_data/permissions.yml', 'w', encoding='utf8') as outfile:
yaml.dump(permissions, outfile, default_flow_style=False, allow_unicode=True)
return True
| 31.76
| 89
| 0.646725
| 205
| 1,588
| 4.84878
| 0.258537
| 0.096579
| 0.066398
| 0.075453
| 0.779678
| 0.779678
| 0.779678
| 0.779678
| 0.779678
| 0.779678
| 0
| 0.001689
| 0.254408
| 1,588
| 49
| 90
| 32.408163
| 0.837838
| 0
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| 0.666667
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| 0.168242
| 0.078765
| 0
| 0
| 0
| 0
| 0
| 1
| 0.090909
| false
| 0
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| 0
| 0.30303
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| null | 0
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| null | 0
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| 0
|
0
| 5
|
39f408f98eb75288db151c22ba359196abecf1b8
| 157
|
py
|
Python
|
src/drf_yasg2/apps.py
|
gdalmau/drf-yasg
|
acff90ac26eba01e363bfd3ecc75b71a6a37088a
|
[
"BSD-3-Clause"
] | 65
|
2020-10-06T15:37:49.000Z
|
2022-02-24T05:18:28.000Z
|
src/drf_yasg2/apps.py
|
gdalmau/drf-yasg
|
acff90ac26eba01e363bfd3ecc75b71a6a37088a
|
[
"BSD-3-Clause"
] | 48
|
2020-10-07T11:14:40.000Z
|
2021-02-03T15:07:39.000Z
|
src/drf_yasg2/apps.py
|
gdalmau/drf-yasg
|
acff90ac26eba01e363bfd3ecc75b71a6a37088a
|
[
"BSD-3-Clause"
] | 4
|
2020-10-10T18:03:33.000Z
|
2020-10-23T07:56:34.000Z
|
from django.apps import AppConfig
class DrfYasgConfig(AppConfig):
name = "drf_yasg2"
verbose_name = "drf_yasg2"
def ready(self):
pass
| 15.7
| 33
| 0.675159
| 19
| 157
| 5.421053
| 0.789474
| 0.135922
| 0.23301
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| 0
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| 0
| 0
| 0
| 0
| 0
| 0.016807
| 0.242038
| 157
| 9
| 34
| 17.444444
| 0.84874
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| 1
| 0.166667
| false
| 0.166667
| 0.166667
| 0
| 0.833333
| 0
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| null | 0
| 1
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 5
|
843e59b7ef643a04bb00d678b8aea0ae94cdbc74
| 87
|
py
|
Python
|
07 Capstone - Detect breast cancer metastases/utils/__init__.py
|
jhorchler/udacity-machine-learning-engineer
|
65b806951c9c0c4faef1ec2db7f0dbb987f11922
|
[
"MIT"
] | null | null | null |
07 Capstone - Detect breast cancer metastases/utils/__init__.py
|
jhorchler/udacity-machine-learning-engineer
|
65b806951c9c0c4faef1ec2db7f0dbb987f11922
|
[
"MIT"
] | null | null | null |
07 Capstone - Detect breast cancer metastases/utils/__init__.py
|
jhorchler/udacity-machine-learning-engineer
|
65b806951c9c0c4faef1ec2db7f0dbb987f11922
|
[
"MIT"
] | null | null | null |
from .data import HDF5Matrix, PCamDataset, get_matrixes, get_mean_std, ImgAugTransform
| 43.5
| 86
| 0.850575
| 11
| 87
| 6.454545
| 0.909091
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| 0.091954
| 87
| 1
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| 87
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| null | 0
| 0
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| 0
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| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
845fb8ce9b3556487d1dffd64a50589462dabb85
| 124,154
|
py
|
Python
|
gen_city.py
|
kevin-ewing/city_blender_scripting
|
022a0e35aac1736c67c0ccc755f12b2c69e5051c
|
[
"Unlicense"
] | null | null | null |
gen_city.py
|
kevin-ewing/city_blender_scripting
|
022a0e35aac1736c67c0ccc755f12b2c69e5051c
|
[
"Unlicense"
] | null | null | null |
gen_city.py
|
kevin-ewing/city_blender_scripting
|
022a0e35aac1736c67c0ccc755f12b2c69e5051c
|
[
"Unlicense"
] | null | null | null |
'''
Procedural generation of a citycape
By Kevin Ewing
Spring 2022
Middlebury Animation Studio Independent project
'''
from colorsys import hsv_to_rgb
from dataclasses import dataclass
from random import randint, uniform
from os import getcwd
from sys import argv
from time import time
import math as m
import bpy
# To render or not to render that is the question
RENDER = True
# City global variables
SIZE_OF_CITY = 120
CENTER_FACTOR = 5
CENTER_SIZE = 9
MAX_BRIGHT = 13
RIVER_CURVE_FACTOR = .20
RIVER_SIZE = 4
# Render global variables
RENDER_SIZE_FACTOR = 1
RENDER_SAMPLE_FACTOR = 1
'''
Each building is initialized with a Building struct:
conjoined: false
exists: true
x:
y:
height:
threshold:
'''
@dataclass
class Building:
conjoined: bool
exists: bool
x: float
y: float
height: float
tier_threshold: float
# Blender will update the view with each primitive addition, we do not want that, instead
# lets block it from updating the view until the end
# https://blender.stackexchange.com/questions/7358/python-performance-with-blender-
# operators
def run_ops_without_view_layer_update(func):
'''
Workaround function as mentioned above to only update the meshes after everything
has been generated, severely shortens the amount of time building generation takes
'''
from bpy.ops import _BPyOpsSubModOp
view_layer_update = _BPyOpsSubModOp._view_layer_update
def dummy_view_layer_update(context):
pass
try:
_BPyOpsSubModOp._view_layer_update = dummy_view_layer_update
func()
finally:
_BPyOpsSubModOp._view_layer_update = view_layer_update
def main():
'''
Main function
clears scene, sets conditions, generates building plan then starts generation
does not do the rendering
'''
# Initializing the empty array of the full city plan, will make 2d
city_plan = []
# Checkpoint before buildings are cleared
checkpoint = time()
print("Clearing all buildings...")
# Clearing all objects and materials from the prior scene
bpy.ops.object.select_all(action='SELECT')
bpy.ops.object.delete()
bpy.context.scene.render.engine = 'CYCLES'
for material in bpy.data.materials:
bpy.data.materials.remove(material)
# Checkpoint after the buildings are cleared; before city is planned
print("--- %s seconds ---\n" % (time() - checkpoint))
checkpoint = time()
print("Randomizing center of city and sun...")
# Randomly generates the "city center"
center_coord = SIZE_OF_CITY // CENTER_FACTOR
center_x = randint(-center_coord, center_coord)
center_y = randint(-center_coord, center_coord)
sun_distance = 2 * SIZE_OF_CITY
sun_x = uniform(-sun_distance, sun_distance)
sun_decider = randint(0, 1)
if sun_decider:
sun_y = m.sqrt(m.pow(sun_distance, 2) - m.pow(sun_x, 2))
else:
sun_y = - m.sqrt(m.pow(sun_distance, 2) - m.pow(sun_x, 2))
sun_z = uniform(1, 50)
# Adds Sun
sun_angle_z = m.pi - m.atan(sun_x / sun_y)
if sun_decider:
sun_angle_x = m.atan(sun_distance / (sun_z))
else:
sun_angle_x = -m.atan(sun_distance / (sun_z))
sun_strength = uniform(1, MAX_BRIGHT)
bpy.ops.object.light_add(
type='SUN', radius=1, location=(
sun_x, sun_y, sun_z), rotation=(
sun_angle_x, 0, sun_angle_z), scale=(
1, 1, 1))
bpy.context.object.data.energy = sun_strength
sun_mat = bpy.data.materials.new(name="sun_mat")
sun_mat.use_nodes = True
for n in sun_mat.node_tree.nodes:
if n.type == 'BSDF_PRINCIPLED':
n.inputs["Emission Strength"].default_value = 10
n.inputs["Emission"].default_value = (1, 1, 1, 1)
bpy.ops.mesh.primitive_ico_sphere_add(
subdivisions=5, radius=5, enter_editmode=False, align='WORLD', location=(
sun_x, sun_y, sun_z), scale=(
1, 1, 1))
bpy.context.object.data.materials.append(sun_mat)
bpy.context.object.visible_shadow = False
# Checkpoint after generating city center and placing sun; before camera
print("--- %s seconds ---\n" % (time() - checkpoint))
checkpoint = time()
print("Randomizing camera...")
# Randomly places the Camera in the first quadrant of the scene
camera_distance = uniform(.8 * SIZE_OF_CITY, 1 * SIZE_OF_CITY)
camera_x = uniform(0, camera_distance)
camera_y = m.sqrt(m.pow(camera_distance, 2) - m.pow(camera_x, 2))
camera_z = uniform(5, 20)
# Adds Camera
camera_angle_z = m.pi - m.atan(camera_x / camera_y)
camera_angle_x = m.atan(camera_distance / (camera_z - 5))
bpy.ops.object.camera_add(
enter_editmode=False, align='VIEW', location=(
camera_x, camera_y, camera_z), rotation=(
camera_angle_x, 0, camera_angle_z), scale=(
1, 1, 1))
bpy.context.scene.camera = bpy.context.object
# Checkpoint after creating sun before floor
print("--- %s seconds ---\n" % (time() - checkpoint))
checkpoint = time()
print("Creating floor...")
# Adds floor facing the camera
mat = bpy.data.materials.new(name="floor")
mat.use_nodes = True
for n in mat.node_tree.nodes:
if n.type == 'BSDF_PRINCIPLED':
n.inputs["Metallic"].default_value = 0.65
n.inputs["Roughness"].default_value = 0.15
# Creates the geometry node tree in create_mountain_tree()
# And assigns that to the geometry node modifier
bpy.ops.mesh.primitive_plane_add(
size=400, enter_editmode=False, align='WORLD', location=(
0, 0, 0), scale=(
1, 1, 1))
bpy.ops.object.modifier_add(type='NODES')
bpy.data.node_groups["Geometry Nodes"].name = "mountain"
create_mountain_tree()
bpy.ops.object.shade_smooth()
bpy.context.object.data.materials.append(mat)
# Checkpoint after floor is generated
print("--- %s seconds ---\n" % (time() - checkpoint))
checkpoint = time()
print("Creating color palette and setting world color...")
world_fixed_color = uniform(0.4, 0.85)
world_saturation = uniform(0.4, 0.8)
world_value = uniform(0.2, 1)
# Sets world color
world_strength = uniform(0, sun_strength / MAX_BRIGHT)
bpy.data.worlds["World"].node_tree.nodes["Background"].inputs[0].default_value = (
hsv_to_rgb(
world_fixed_color, world_saturation, world_value)[0], hsv_to_rgb(
world_fixed_color, world_saturation, world_value)[1], hsv_to_rgb(
world_fixed_color, world_saturation, world_value)[2], world_strength)
# Checkpoint after creating the pallette but before planning city
print("--- %s seconds ---\n" % (time() - checkpoint))
checkpoint = time()
print("Generating building plans...")
for i in range(-SIZE_OF_CITY // 2, SIZE_OF_CITY // 2):
temp = []
for j in range(-SIZE_OF_CITY // 2, SIZE_OF_CITY // 2):
temp.append(plan_building(i, j, center_x, center_y))
city_plan.append(temp)
print("--- %s seconds ---\n" % (time() - checkpoint))
checkpoint = time()
print("Carving River...")
carve_river(city_plan)
print("--- %s seconds ---\n" % (time() - checkpoint))
checkpoint = time()
print("Joining Buildings...")
fixed_color = uniform(0, 1)
saturation = uniform(0.1, 1)
value = uniform(0.2, 1)
join_buildings(city_plan, fixed_color, saturation, value)
print("--- %s seconds ---\n" % (time() - checkpoint))
checkpoint = time()
print("Building all buildings...")
build_all_buildings(city_plan, fixed_color, saturation, value)
print("--- %s seconds ---\n" % (time() - checkpoint))
checkpoint = time()
print("Seting up composite...")
setup_composite()
print("--- %s seconds ---\n" % (time() - checkpoint))
checkpoint = time()
def carve_park(city_plan):
'''
Carves out a park in the city
'''
center = randint(-SIZE_OF_CITY // 2, SIZE_OF_CITY)
height = randint(0, 12)
width = randint(0, 12)
for i in range(center + (-height // 2), center + (height // 2)):
for j in range(center + (-width // 2), center + (width // 2)):
try:
city_plan[i][j].exists = False
except IndexError:
pass
def carve_river(city_plan):
'''
Carves out a river through the city
'''
edge = False
direction = 0
for cols in city_plan:
rand_start = randint(0, len(cols))
current_x = rand_start
current_y = 0
while edge == False:
dir_change = uniform(0, 1)
if dir_change < RIVER_CURVE_FACTOR:
direction = (direction - 1) % 4
elif dir_change < RIVER_CURVE_FACTOR * 2:
direction = (direction + 1) % 4
try:
if direction == 0:
current_y += 1
elif direction == 1:
current_x += 1
elif direction == 2:
current_y -= 1
else:
current_x -= 1
# clear around
try:
for i in range(-RIVER_SIZE // 2, RIVER_SIZE // 2):
for j in range(-RIVER_SIZE // 2, RIVER_SIZE // 2):
city_plan[current_x + i][current_y + j].exists = False
except IndexError:
pass
# If actual plan is at edge then we do exit loop
city_plan[current_x][current_y].exists = False
except IndexError:
edge = True
def join_buildings(city_plan, fixed_color, saturation, value):
'''
Will randomly join two neighboring buildings if they are not already joined
Assigns one to be twice the width and marks the other's stuct as exists = false
'''
for cols in range(len(city_plan)):
for rows in range(len(city_plan[cols])):
if (uniform(0, 1) < 0.08 and city_plan[cols][rows].height < 4 and
city_plan[cols][rows].conjoined == False):
if uniform(0, 1) < 0.5:
try:
if (city_plan[cols][rows + 1].conjoined == False and
city_plan[cols][rows + 1].exists and
city_plan[cols][rows].exists):
city_plan[cols][rows].exists = False
city_plan[cols][rows + 1].exists = False
city_plan[cols][rows + 1].conjoined = True
bpy.ops.mesh.primitive_cube_add(location=(
city_plan[cols][rows].x, city_plan[cols][rows].y + .5,
city_plan[cols][rows].height), scale=(.40, .90,
city_plan[cols][rows].height))
bpy.context.object.data.materials.append(build_mat(
fixed_color, saturation, value, 0))
except IndexError:
# Erroring is OK, if it has just gone off the edge of
# the map
pass
else:
try:
if (city_plan[cols + 1][rows].conjoined == False and
city_plan[cols + 1][rows].exists and
city_plan[cols][rows].exists):
city_plan[cols][rows].exists = False
city_plan[cols + 1][rows].exists = False
city_plan[cols + 1][rows].conjoined = True
bpy.ops.mesh.primitive_cube_add(location=(
city_plan[cols][rows].x +
0.5, city_plan[cols][rows].y,
city_plan[cols][rows].height), scale=(.90, .40,
city_plan[cols][rows].height))
bpy.context.object.data.materials.append(
build_mat(fixed_color, saturation, value, 0))
except IndexError:
# Erroring is OK, if it has just gone off the edge of
# the map
pass
def setup_composite():
'''
Sets up the composite node tree for denoise and glare
help with: https://blender.stackexchange.com/questions/19500/controling-compositor-by-python
'''
# switch on nodes and get reference
bpy.context.scene.use_nodes = True
tree = bpy.context.scene.node_tree
# clear default nodes
for node in tree.nodes:
tree.nodes.remove(node)
# create input image node
image_node = tree.nodes.new(type='CompositorNodeRLayers')
# create glare node
glare_node = tree.nodes.new('CompositorNodeGlare')
glare_node.glare_type = "FOG_GLOW"
glare_node.size = 5
# create output node
comp_node = tree.nodes.new('CompositorNodeComposite')
# link nodes
links = tree.links
links.new(image_node.outputs[0], glare_node.inputs[0])
links.new(glare_node.outputs[0], comp_node.inputs[0])
def plan_building(x, y, center_x, center_y):
'''
Initializes the building based of the x and y of the building and how far from
the city center it is going to be
'''
height = determine_building_height(x, y, center_x, center_y, SIZE_OF_CITY)
tier_threshold = randint(0, 20) * height
# Building is first actually initialized
return Building(False, True, x, y, height, tier_threshold)
def build_mat(fixed_color, saturation, value, shiny):
'''
Helper function to build the material based on predetermined
parameters defined in main
'''
color_addition = uniform(-0.15, 0.15)
varied_color = fixed_color + color_addition
if varied_color > 1:
varied_color - 1
if varied_color < 0:
varied_color + 1
sat_addition = uniform(-0.1, 0.1)
varied_saturation = saturation + sat_addition
value_addition = uniform(-0.1, 0.1)
varied_value = value + value_addition
if shiny:
built_mat = bpy.data.materials.new(name=str(
varied_color + varied_saturation + varied_value))
built_mat.use_nodes = True
for n in built_mat.node_tree.nodes:
if n.type == 'BSDF_PRINCIPLED':
n.inputs["Metallic"].default_value = 0.5
n.inputs["Roughness"].default_value = 0.05
n.inputs["Base Color"].default_value = (
hsv_to_rgb(
varied_color, varied_saturation, varied_value)[0], hsv_to_rgb(
varied_color, varied_saturation, varied_value)[1], hsv_to_rgb(
varied_color, varied_saturation, varied_value)[2], 1.0)
else:
built_mat = bpy.data.materials.new(name="mat")
built_mat.diffuse_color = (
hsv_to_rgb(
varied_color, varied_saturation, varied_value)[0], hsv_to_rgb(
varied_color, varied_saturation, varied_value)[1], hsv_to_rgb(
varied_color, varied_saturation, varied_value)[2], 1.0)
return built_mat
def build_all_buildings(city_plan, fixed_color, saturation, value):
'''
Actually places the cubes in blender based on the city plan, and will generate
the color on the fly
'''
# Determines the highest tiered building in the city
th_max = 0
for cols in city_plan:
for row in cols:
if row.tier_threshold > th_max:
th_max = row.tier_threshold
# Breaks down the building tiers based from the maximum one generated
for cols in city_plan:
for row in cols:
if not row.exists:
pass
elif row.tier_threshold > (11 * (th_max / 15)):
pointed_building(
row.x, row.y, row.height, build_mat(
fixed_color, saturation, value, 0))
elif row.tier_threshold > (9 * (th_max / 15)):
tiered_building(
row.x, row.y, row.height, build_mat(
fixed_color, saturation, value, 0))
elif row.tier_threshold > (8 * (th_max / 15)):
striped_building(
row.x, row.y, row.height, build_mat(
fixed_color, saturation, value, 0))
elif row.tier_threshold > (7 * (th_max / 15)):
spired_building(
row.x, row.y, row.height, build_mat(
fixed_color, saturation, value, 0))
elif row.tier_threshold > (6 * (th_max / 15)):
crossed_building(
row.x, row.y, row.height, build_mat(
fixed_color, saturation, value, 0))
elif row.tier_threshold > (5 * (th_max / 15)):
glass_building(
row.x, row.y, row.height, build_mat(
fixed_color, saturation, value, 1))
elif row.tier_threshold > (4 * (th_max / 15)):
slotted_building(
row.x, row.y, row.height, build_mat(
fixed_color, saturation, value, 0))
elif row.tier_threshold > (2 * (th_max / 15)):
pass
else:
bpy.ops.mesh.primitive_cube_add(location=(row.x, row.y, row.height),
scale=(.40, .40, row.height))
bpy.context.object.data.materials.append(
build_mat(fixed_color, saturation, value, 0))
def determine_building_height(x, y, center_x, center_y, SIZE_OF_CITY):
'''
Determines the building threshold based on the distance from the city center
Designed to ease in and out of the downtown area
Uses a sigmoid growth curve
'''
distance = m.sqrt((x - center_x)**2 + (y - center_y)**2)
minimum = (distance ** 0.25) / (SIZE_OF_CITY / 10)
maximum = 9 - (8 / (1 + m.pow(1.3, (-1.4 * (distance - CENTER_SIZE)))))
return uniform(minimum, maximum)
def pointed_building(x, y, height, mat):
'''
Generates the pointed building given the location height and passed the mat
'''
bpy.ops.mesh.primitive_cube_add(location=(x, y, height), scale=(.45, .45,
height))
bpy.context.object.data.materials.append(mat)
size_of_point = uniform(0.05, 0.12)
length_of_point = uniform(10, 20) * size_of_point
bpy.ops.object.duplicate_move(
OBJECT_OT_duplicate={
"linked": False,
"mode": 'TRANSLATION'},
TRANSFORM_OT_translate={
"value": (0, 0, 0),
"orient_type": 'GLOBAL',
"orient_matrix": (
(0, 0, 0),
(0, 0, 0),
(0, 0, 0)),
"orient_matrix_type": 'GLOBAL',
"constraint_axis": (False, False, False),
"mirror": False,
"use_proportional_edit": False,
"proportional_edit_falloff": 'SMOOTH',
"proportional_size": 1,
"use_proportional_connected": False,
"use_proportional_projected": False,
"snap": False,
"snap_target": 'CLOSEST',
"snap_point": (0, 0, 0),
"snap_align": False,
"snap_normal": (0, 0, 0),
"gpencil_strokes": False,
"cursor_transform": False,
"texture_space": False,
"remove_on_cancel": False,
"release_confirm": False,
"use_accurate": False,
"use_automerge_and_split": False})
bpy.ops.transform.resize(
value=(size_of_point, size_of_point, 1),
orient_type='GLOBAL',
orient_matrix=(
(1, 0, 0),
(0, 1, 0),
(0, 0, 1)),
orient_matrix_type='GLOBAL',
constraint_axis=(True, True, False),
mirror=True,
use_proportional_edit=False,
proportional_edit_falloff='SMOOTH',
proportional_size=1,
use_proportional_connected=False,
use_proportional_projected=False)
bpy.ops.transform.translate(
value=(0, 0, length_of_point),
orient_type='GLOBAL',
orient_matrix=(
(1, 0, 0),
(0, 1, 0),
(0, 0, 1)),
orient_matrix_type='GLOBAL',
constraint_axis=(
False,
False,
True),
mirror=True,
use_proportional_edit=False,
proportional_edit_falloff='SMOOTH',
proportional_size=1,
use_proportional_connected=False,
use_proportional_projected=False)
def tiered_building(x, y, height, mat):
'''
Generates the tiered building given the location height and passed the mat
'''
bpy.ops.mesh.primitive_cube_add(location=(x, y, height / 4), scale=(
.45, .45, height / 4))
bpy.context.object.data.materials.append(mat)
bpy.ops.mesh.primitive_cube_add(location=(x, y, 3 * (height / 4)), scale=(
.4, .4, height / 4))
bpy.context.object.data.materials.append(mat)
bpy.ops.mesh.primitive_cube_add(location=(x, y, 5 * (height / 4)), scale=(
.35, .35, height / 4))
bpy.context.object.data.materials.append(mat)
bpy.ops.mesh.primitive_cube_add(location=(x, y, 7 * (height / 4)), scale=(
.3, .3, height / 4))
bpy.context.object.data.materials.append(mat)
def striped_building(x, y, height, mat):
'''
Generates the striped building given the location height and passed the mat
'''
step_height_factor = uniform(1.05, 1.2)
bpy.ops.mesh.primitive_cube_add(location=(x, y, height), scale=(
.35, .35, height))
bpy.context.object.data.materials.append(mat)
bpy.ops.mesh.primitive_cube_add(location=(x + .25, y + .25, height / step_height_factor),
scale=(.13, .13, height / step_height_factor))
bpy.context.object.data.materials.append(mat)
bpy.ops.mesh.primitive_cube_add(location=(x - .25, y + .25, height / step_height_factor),
scale=(.13, .13, height / step_height_factor))
bpy.context.object.data.materials.append(mat)
bpy.ops.mesh.primitive_cube_add(location=(x + .25, y - .25, height / step_height_factor),
scale=(.13, .13, height / step_height_factor))
bpy.context.object.data.materials.append(mat)
bpy.ops.mesh.primitive_cube_add(location=(x - .25, y - .25, height / step_height_factor),
scale=(.13, .13, height / step_height_factor))
bpy.context.object.data.materials.append(mat)
bpy.ops.mesh.primitive_cube_add(location=(
x, y, height + 2 * (step_height_factor - 1)), scale=(.3, .3, height))
bpy.context.object.data.materials.append(mat)
def spired_building(x, y, height, mat):
'''
Generates the spired building given the location height and passed the mat
'''
bpy.ops.mesh.primitive_cube_add(location=(x, y, height), scale=(
.40, .40, height))
bpy.context.object.data.materials.append(mat)
bpy.ops.mesh.primitive_cone_add(location=(x, y, 2 * height + .14), scale=(
.34, .34, .7))
bpy.ops.object.shade_smooth()
bpy.context.object.data.materials.append(mat)
bpy.ops.mesh.primitive_cube_add(location=(x, y, 2 * height + .14), scale=(
.38, .38, .08))
bpy.context.object.data.materials.append(mat)
def crossed_building(x, y, height, mat):
'''
Generates the crossed building given the location height and passed the mat
'''
max_beam_count = 12
number_beams = randint(3, max_beam_count)
bpy.ops.mesh.primitive_cube_add(location=(x, y, height), scale=(
.35, .35, height + .04))
bpy.context.object.data.materials.append(mat)
beam_offset = 2 * (.35 / number_beams)
for i in range(number_beams + 1):
bpy.ops.mesh.primitive_cube_add(location=(x, y - .35 + (beam_offset * i), height),
scale=(.4, .4 / (3 * number_beams), height))
bpy.context.object.data.materials.append(mat)
bpy.ops.mesh.primitive_cube_add(location=(x - .35 + (beam_offset * i), y, height),
scale=(.4 / (3 * number_beams), .4, height))
bpy.context.object.data.materials.append(mat)
def glass_building(x, y, height, mat):
'''
Generates the spired building given the location height and passed the mat
'''
bpy.ops.mesh.primitive_cube_add(location=(x, y, height), scale=(
.40, .40, height))
bpy.context.object.data.materials.append(mat)
def slotted_building(x, y, height, mat):
'''
Generates the slotted building given the location height and passed the mat
'''
bpy.ops.mesh.primitive_cube_add(location=(x, y, height), scale=(
.39, .39, height))
bpy.context.object.data.materials.append(mat)
floors = int(height // .2)
for i in range(floors + 1):
bpy.ops.mesh.primitive_cube_add(location=(x, y, i * .4), scale=(
.4, .4, .02))
bpy.context.object.data.materials.append(mat)
def create_mountain_tree():
'''
Generates the node tree for the mountain geometry node to be applied to the plane mesh
Code created with https://github.com/Korchy/blender_nodetree_source
'''
# MATERIAL
node_tree1 = bpy.data.node_groups.get('mountain')
for node in node_tree1.nodes:
node_tree1.nodes.remove(node)
# INPUTS
input = node_tree1.inputs.new('NodeSocketGeometry', 'Geometry')
if hasattr(input, 'attribute_domain'):
input.attribute_domain = 'POINT'
if hasattr(input, 'hide_value'):
input.hide_value = False
if hasattr(input, 'name'):
input.name = 'Geometry'
# OUTPUTS
output = node_tree1.outputs.new('NodeSocketGeometry', 'Geometry')
if hasattr(output, 'attribute_domain'):
output.attribute_domain = 'POINT'
if hasattr(output, 'hide_value'):
output.hide_value = False
if hasattr(output, 'name'):
output.name = 'Geometry'
# NODES
group_output_1 = node_tree1.nodes.new('NodeGroupOutput')
if hasattr(group_output_1, 'color'):
group_output_1.color = (0.6079999804496765, 0.6079999804496765,
0.6079999804496765)
if hasattr(group_output_1, 'hide'):
group_output_1.hide = False
if hasattr(group_output_1, 'is_active_output'):
group_output_1.is_active_output = True
if hasattr(group_output_1, 'location'):
group_output_1.location = (998.134765625, 181.331298828125)
if hasattr(group_output_1, 'mute'):
group_output_1.mute = False
if hasattr(group_output_1, 'name'):
group_output_1.name = 'Group Output'
if hasattr(group_output_1, 'use_custom_color'):
group_output_1.use_custom_color = False
if hasattr(group_output_1, 'width'):
group_output_1.width = 140.0
subdivide_mesh_1 = node_tree1.nodes.new('GeometryNodeSubdivideMesh')
if hasattr(subdivide_mesh_1, 'color'):
subdivide_mesh_1.color = (
0.6079999804496765,
0.6079999804496765,
0.6079999804496765)
if hasattr(subdivide_mesh_1, 'hide'):
subdivide_mesh_1.hide = False
if hasattr(subdivide_mesh_1, 'location'):
subdivide_mesh_1.location = (-539.3538818359375, 257.773681640625)
if hasattr(subdivide_mesh_1, 'mute'):
subdivide_mesh_1.mute = False
if hasattr(subdivide_mesh_1, 'name'):
subdivide_mesh_1.name = 'Subdivide Mesh'
if hasattr(subdivide_mesh_1, 'use_custom_color'):
subdivide_mesh_1.use_custom_color = False
if hasattr(subdivide_mesh_1, 'width'):
subdivide_mesh_1.width = 140.0
input_ = next((input_ for input_ in subdivide_mesh_1.inputs
if input_.identifier == 'Level'), None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 1
if hasattr(input_, 'display_shape'):
input_.display_shape = 'CIRCLE'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Level'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
position_1 = node_tree1.nodes.new('GeometryNodeInputPosition')
if hasattr(position_1, 'color'):
position_1.color = (
0.6079999804496765,
0.6079999804496765,
0.6079999804496765)
if hasattr(position_1, 'hide'):
position_1.hide = False
if hasattr(position_1, 'location'):
position_1.location = (-457.5484619140625, 73.76937866210938)
if hasattr(position_1, 'mute'):
position_1.mute = False
if hasattr(position_1, 'name'):
position_1.name = 'Position'
if hasattr(position_1, 'use_custom_color'):
position_1.use_custom_color = False
if hasattr(position_1, 'width'):
position_1.width = 140.0
output = next((output for output in position_1.outputs
if output.identifier == 'Position'), None)
if output:
if hasattr(output, 'default_value'):
output.default_value = (0.0, 0.0, 0.0)
if hasattr(output, 'display_shape'):
output.display_shape = 'DIAMOND'
if hasattr(output, 'enabled'):
output.enabled = True
if hasattr(output, 'hide'):
output.hide = False
if hasattr(output, 'hide_value'):
output.hide_value = False
if hasattr(output, 'name'):
output.name = 'Position'
if hasattr(output, 'show_expanded'):
output.show_expanded = False
math_002_1 = node_tree1.nodes.new('ShaderNodeMath')
if hasattr(math_002_1, 'color'):
math_002_1.color = (
0.6079999804496765,
0.6079999804496765,
0.6079999804496765)
if hasattr(math_002_1, 'hide'):
math_002_1.hide = False
if hasattr(math_002_1, 'location'):
math_002_1.location = (-1863.360595703125, -196.51612854003906)
if hasattr(math_002_1, 'mute'):
math_002_1.mute = False
if hasattr(math_002_1, 'name'):
math_002_1.name = 'Math.002'
if hasattr(math_002_1, 'operation'):
math_002_1.operation = 'ABSOLUTE'
if hasattr(math_002_1, 'use_clamp'):
math_002_1.use_clamp = False
if hasattr(math_002_1, 'use_custom_color'):
math_002_1.use_custom_color = False
if hasattr(math_002_1, 'width'):
math_002_1.width = 140.0
input_ = next(
(input_ for input_ in math_002_1.inputs if input_.identifier == 'Value'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 0.5
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Value'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in math_002_1.inputs if input_.identifier == 'Value_001'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 0.5
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = False
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Value'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in math_002_1.inputs if input_.identifier == 'Value_002'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 0.5
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = False
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Value'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
output = next(
(output for output in math_002_1.outputs if output.identifier == 'Value'),
None)
if output:
if hasattr(output, 'default_value'):
output.default_value = 0.0
if hasattr(output, 'display_shape'):
output.display_shape = 'DIAMOND_DOT'
if hasattr(output, 'enabled'):
output.enabled = True
if hasattr(output, 'hide'):
output.hide = False
if hasattr(output, 'hide_value'):
output.hide_value = False
if hasattr(output, 'name'):
output.name = 'Value'
if hasattr(output, 'show_expanded'):
output.show_expanded = False
math_1 = node_tree1.nodes.new('ShaderNodeMath')
if hasattr(math_1, 'color'):
math_1.color = (
0.6079999804496765,
0.6079999804496765,
0.6079999804496765)
if hasattr(math_1, 'hide'):
math_1.hide = False
if hasattr(math_1, 'location'):
math_1.location = (-1860.6793212890625, -58.374664306640625)
if hasattr(math_1, 'mute'):
math_1.mute = False
if hasattr(math_1, 'name'):
math_1.name = 'Math'
if hasattr(math_1, 'operation'):
math_1.operation = 'INVERSE_SQRT'
if hasattr(math_1, 'use_clamp'):
math_1.use_clamp = False
if hasattr(math_1, 'use_custom_color'):
math_1.use_custom_color = False
if hasattr(math_1, 'width'):
math_1.width = 140.0
input_ = next(
(input_ for input_ in math_1.inputs if input_.identifier == 'Value'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 0.5
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Value'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in math_1.inputs if input_.identifier == 'Value_001'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 0.5
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = False
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Value'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in math_1.inputs if input_.identifier == 'Value_002'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 0.5
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = False
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Value'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
output = next(
(output for output in math_1.outputs if output.identifier == 'Value'),
None)
if output:
if hasattr(output, 'default_value'):
output.default_value = 0.0
if hasattr(output, 'display_shape'):
output.display_shape = 'DIAMOND_DOT'
if hasattr(output, 'enabled'):
output.enabled = True
if hasattr(output, 'hide'):
output.hide = False
if hasattr(output, 'hide_value'):
output.hide_value = False
if hasattr(output, 'name'):
output.name = 'Value'
if hasattr(output, 'show_expanded'):
output.show_expanded = False
colorramp_1 = node_tree1.nodes.new('ShaderNodeValToRGB')
if hasattr(colorramp_1, 'color'):
colorramp_1.color = (
0.6079999804496765,
0.6079999804496765,
0.6079999804496765)
if hasattr(colorramp_1, 'color_ramp'):
if hasattr(colorramp_1.color_ramp, 'color_mode'):
colorramp_1.color_ramp.color_mode = 'RGB'
if hasattr(colorramp_1.color_ramp, 'elements'):
if 0 >= len(colorramp_1.color_ramp.elements):
colorramp_1.color_ramp.elements.new(0.0)
if hasattr(colorramp_1.color_ramp.elements[0], 'alpha'):
colorramp_1.color_ramp.elements[0].alpha = 1.0
if hasattr(colorramp_1.color_ramp.elements[0], 'color'):
colorramp_1.color_ramp.elements[0].color = (0.0, 0.0, 0.0, 1.0)
if hasattr(colorramp_1.color_ramp.elements[0], 'position'):
colorramp_1.color_ramp.elements[0].position = 0.0
if 1 >= len(colorramp_1.color_ramp.elements):
colorramp_1.color_ramp.elements.new(1.0)
if hasattr(colorramp_1.color_ramp.elements[1], 'alpha'):
colorramp_1.color_ramp.elements[1].alpha = 1.0
if hasattr(colorramp_1.color_ramp.elements[1], 'color'):
colorramp_1.color_ramp.elements[1].color = (1.0, 1.0, 1.0, 1.0)
if hasattr(colorramp_1.color_ramp.elements[1], 'position'):
colorramp_1.color_ramp.elements[1].position = 1.0
if hasattr(colorramp_1.color_ramp, 'hue_interpolation'):
colorramp_1.color_ramp.hue_interpolation = 'NEAR'
if hasattr(colorramp_1.color_ramp, 'interpolation'):
colorramp_1.color_ramp.interpolation = 'LINEAR'
if hasattr(colorramp_1, 'hide'):
colorramp_1.hide = False
if hasattr(colorramp_1, 'location'):
colorramp_1.location = (-1057.744140625, -89.62713623046875)
if hasattr(colorramp_1, 'mute'):
colorramp_1.mute = False
if hasattr(colorramp_1, 'name'):
colorramp_1.name = 'ColorRamp'
if hasattr(colorramp_1, 'use_custom_color'):
colorramp_1.use_custom_color = False
if hasattr(colorramp_1, 'width'):
colorramp_1.width = 240.0
input_ = next(
(input_ for input_ in colorramp_1.inputs if input_.identifier == 'Fac'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 0.5
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Fac'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
output = next(
(output for output in colorramp_1.outputs if output.identifier == 'Color'),
None)
if output:
if hasattr(output, 'default_value'):
output.default_value = (0.0, 0.0, 0.0, 0.0)
if hasattr(output, 'display_shape'):
output.display_shape = 'DIAMOND'
if hasattr(output, 'enabled'):
output.enabled = True
if hasattr(output, 'hide'):
output.hide = False
if hasattr(output, 'hide_value'):
output.hide_value = False
if hasattr(output, 'name'):
output.name = 'Color'
if hasattr(output, 'show_expanded'):
output.show_expanded = False
output = next(
(output for output in colorramp_1.outputs if output.identifier == 'Alpha'),
None)
if output:
if hasattr(output, 'default_value'):
output.default_value = 0.0
if hasattr(output, 'display_shape'):
output.display_shape = 'DIAMOND'
if hasattr(output, 'enabled'):
output.enabled = True
if hasattr(output, 'hide'):
output.hide = False
if hasattr(output, 'hide_value'):
output.hide_value = False
if hasattr(output, 'name'):
output.name = 'Alpha'
if hasattr(output, 'show_expanded'):
output.show_expanded = False
vector_math_001_1 = node_tree1.nodes.new('ShaderNodeVectorMath')
if hasattr(vector_math_001_1, 'color'):
vector_math_001_1.color = (
0.6079999804496765,
0.6079999804496765,
0.6079999804496765)
if hasattr(vector_math_001_1, 'hide'):
vector_math_001_1.hide = False
if hasattr(vector_math_001_1, 'location'):
vector_math_001_1.location = (-1266.610107421875, -412.4996032714844)
if hasattr(vector_math_001_1, 'mute'):
vector_math_001_1.mute = False
if hasattr(vector_math_001_1, 'name'):
vector_math_001_1.name = 'Vector Math.001'
if hasattr(vector_math_001_1, 'operation'):
vector_math_001_1.operation = 'MULTIPLY'
if hasattr(vector_math_001_1, 'use_custom_color'):
vector_math_001_1.use_custom_color = False
if hasattr(vector_math_001_1, 'width'):
vector_math_001_1.width = 140.0
input_ = next(
(input_ for input_ in vector_math_001_1.inputs if input_.identifier == 'Vector'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = (0.0, 0.0, 0.0)
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Vector'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in vector_math_001_1.inputs if input_.identifier == 'Vector_001'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = (
0.004000000189989805, 0.004000000189989805, 0.0)
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Vector'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in vector_math_001_1.inputs if input_.identifier == 'Vector_002'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = (0.0, 0.0, 0.0)
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = False
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Vector'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in vector_math_001_1.inputs if input_.identifier == 'Scale'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 1.0
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = False
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Scale'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
output = next(
(output for output in vector_math_001_1.outputs if output.identifier == 'Vector'),
None)
if output:
if hasattr(output, 'default_value'):
output.default_value = (0.0, 0.0, 0.0)
if hasattr(output, 'display_shape'):
output.display_shape = 'DIAMOND'
if hasattr(output, 'enabled'):
output.enabled = True
if hasattr(output, 'hide'):
output.hide = False
if hasattr(output, 'hide_value'):
output.hide_value = False
if hasattr(output, 'name'):
output.name = 'Vector'
if hasattr(output, 'show_expanded'):
output.show_expanded = False
output = next(
(output for output in vector_math_001_1.outputs if output.identifier == 'Value'),
None)
if output:
if hasattr(output, 'default_value'):
output.default_value = 0.0
if hasattr(output, 'display_shape'):
output.display_shape = 'DIAMOND'
if hasattr(output, 'enabled'):
output.enabled = False
if hasattr(output, 'hide'):
output.hide = False
if hasattr(output, 'hide_value'):
output.hide_value = False
if hasattr(output, 'name'):
output.name = 'Value'
if hasattr(output, 'show_expanded'):
output.show_expanded = False
colorramp_001_1 = node_tree1.nodes.new('ShaderNodeValToRGB')
if hasattr(colorramp_001_1, 'color'):
colorramp_001_1.color = (
0.6079999804496765,
0.6079999804496765,
0.6079999804496765)
if hasattr(colorramp_001_1, 'color_ramp'):
if hasattr(colorramp_001_1.color_ramp, 'color_mode'):
colorramp_001_1.color_ramp.color_mode = 'RGB'
if hasattr(colorramp_001_1.color_ramp, 'elements'):
if 0 >= len(colorramp_001_1.color_ramp.elements):
colorramp_001_1.color_ramp.elements.new(0.468181848526001)
if hasattr(colorramp_001_1.color_ramp.elements[0], 'alpha'):
colorramp_001_1.color_ramp.elements[0].alpha = 1.0
if hasattr(colorramp_001_1.color_ramp.elements[0], 'color'):
colorramp_001_1.color_ramp.elements[0].color = (
1.0, 1.0, 1.0, 1.0)
if hasattr(colorramp_001_1.color_ramp.elements[0], 'position'):
colorramp_001_1.color_ramp.elements[0].position = 0.468181848526001
if 1 >= len(colorramp_001_1.color_ramp.elements):
colorramp_001_1.color_ramp.elements.new(0.6454545259475708)
if hasattr(colorramp_001_1.color_ramp.elements[1], 'alpha'):
colorramp_001_1.color_ramp.elements[1].alpha = 1.0
if hasattr(colorramp_001_1.color_ramp.elements[1], 'color'):
colorramp_001_1.color_ramp.elements[1].color = (
0.05730096995830536, 0.05730096995830536, 0.05730096995830536, 1.0)
if hasattr(colorramp_001_1.color_ramp.elements[1], 'position'):
colorramp_001_1.color_ramp.elements[1].position = 0.6454545259475708
if hasattr(colorramp_001_1.color_ramp, 'hue_interpolation'):
colorramp_001_1.color_ramp.hue_interpolation = 'NEAR'
if hasattr(colorramp_001_1.color_ramp, 'interpolation'):
colorramp_001_1.color_ramp.interpolation = 'EASE'
if hasattr(colorramp_001_1, 'hide'):
colorramp_001_1.hide = False
if hasattr(colorramp_001_1, 'location'):
colorramp_001_1.location = (-784.2443237304688, -350.30657958984375)
if hasattr(colorramp_001_1, 'mute'):
colorramp_001_1.mute = False
if hasattr(colorramp_001_1, 'name'):
colorramp_001_1.name = 'ColorRamp.001'
if hasattr(colorramp_001_1, 'use_custom_color'):
colorramp_001_1.use_custom_color = False
if hasattr(colorramp_001_1, 'width'):
colorramp_001_1.width = 240.0
input_ = next(
(input_ for input_ in colorramp_001_1.inputs if input_.identifier == 'Fac'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 0.5
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Fac'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
output = next(
(output for output in colorramp_001_1.outputs if output.identifier == 'Color'),
None)
if output:
if hasattr(output, 'default_value'):
output.default_value = (0.0, 0.0, 0.0, 0.0)
if hasattr(output, 'display_shape'):
output.display_shape = 'DIAMOND'
if hasattr(output, 'enabled'):
output.enabled = True
if hasattr(output, 'hide'):
output.hide = False
if hasattr(output, 'hide_value'):
output.hide_value = False
if hasattr(output, 'name'):
output.name = 'Color'
if hasattr(output, 'show_expanded'):
output.show_expanded = False
output = next(
(output for output in colorramp_001_1.outputs if output.identifier == 'Alpha'),
None)
if output:
if hasattr(output, 'default_value'):
output.default_value = 0.0
if hasattr(output, 'display_shape'):
output.display_shape = 'DIAMOND'
if hasattr(output, 'enabled'):
output.enabled = True
if hasattr(output, 'hide'):
output.hide = False
if hasattr(output, 'hide_value'):
output.hide_value = False
if hasattr(output, 'name'):
output.name = 'Alpha'
if hasattr(output, 'show_expanded'):
output.show_expanded = False
colorramp_002_1 = node_tree1.nodes.new('ShaderNodeValToRGB')
if hasattr(colorramp_002_1, 'color'):
colorramp_002_1.color = (
0.6079999804496765,
0.6079999804496765,
0.6079999804496765)
if hasattr(colorramp_002_1, 'color_ramp'):
if hasattr(colorramp_002_1.color_ramp, 'color_mode'):
colorramp_002_1.color_ramp.color_mode = 'RGB'
if hasattr(colorramp_002_1.color_ramp, 'elements'):
if 0 >= len(colorramp_002_1.color_ramp.elements):
colorramp_002_1.color_ramp.elements.new(0.0)
if hasattr(colorramp_002_1.color_ramp.elements[0], 'alpha'):
colorramp_002_1.color_ramp.elements[0].alpha = 1.0
if hasattr(colorramp_002_1.color_ramp.elements[0], 'color'):
colorramp_002_1.color_ramp.elements[0].color = (
1.0, 1.0, 1.0, 1.0)
if hasattr(colorramp_002_1.color_ramp.elements[0], 'position'):
colorramp_002_1.color_ramp.elements[0].position = 0.0
if 1 >= len(colorramp_002_1.color_ramp.elements):
colorramp_002_1.color_ramp.elements.new(1.0)
if hasattr(colorramp_002_1.color_ramp.elements[1], 'alpha'):
colorramp_002_1.color_ramp.elements[1].alpha = 1.0
if hasattr(colorramp_002_1.color_ramp.elements[1], 'color'):
colorramp_002_1.color_ramp.elements[1].color = (
0.0, 0.0, 0.0, 1.0)
if hasattr(colorramp_002_1.color_ramp.elements[1], 'position'):
colorramp_002_1.color_ramp.elements[1].position = 1.0
if hasattr(colorramp_002_1.color_ramp, 'hue_interpolation'):
colorramp_002_1.color_ramp.hue_interpolation = 'NEAR'
if hasattr(colorramp_002_1.color_ramp, 'interpolation'):
colorramp_002_1.color_ramp.interpolation = 'EASE'
if hasattr(colorramp_002_1, 'hide'):
colorramp_002_1.hide = False
if hasattr(colorramp_002_1, 'location'):
colorramp_002_1.location = (-794.784423828125, -639.2159423828125)
if hasattr(colorramp_002_1, 'mute'):
colorramp_002_1.mute = False
if hasattr(colorramp_002_1, 'name'):
colorramp_002_1.name = 'ColorRamp.002'
if hasattr(colorramp_002_1, 'use_custom_color'):
colorramp_002_1.use_custom_color = False
if hasattr(colorramp_002_1, 'width'):
colorramp_002_1.width = 240.0
input_ = next(
(input_ for input_ in colorramp_002_1.inputs if input_.identifier == 'Fac'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 0.5
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Fac'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
output = next(
(output for output in colorramp_002_1.outputs if output.identifier == 'Color'),
None)
if output:
if hasattr(output, 'default_value'):
output.default_value = (0.0, 0.0, 0.0, 0.0)
if hasattr(output, 'display_shape'):
output.display_shape = 'DIAMOND'
if hasattr(output, 'enabled'):
output.enabled = True
if hasattr(output, 'hide'):
output.hide = False
if hasattr(output, 'hide_value'):
output.hide_value = False
if hasattr(output, 'name'):
output.name = 'Color'
if hasattr(output, 'show_expanded'):
output.show_expanded = False
output = next(
(output for output in colorramp_002_1.outputs if output.identifier == 'Alpha'),
None)
if output:
if hasattr(output, 'default_value'):
output.default_value = 0.0
if hasattr(output, 'display_shape'):
output.display_shape = 'DIAMOND'
if hasattr(output, 'enabled'):
output.enabled = True
if hasattr(output, 'hide'):
output.hide = False
if hasattr(output, 'hide_value'):
output.hide_value = False
if hasattr(output, 'name'):
output.name = 'Alpha'
if hasattr(output, 'show_expanded'):
output.show_expanded = False
math_006_1 = node_tree1.nodes.new('ShaderNodeMath')
if hasattr(math_006_1, 'color'):
math_006_1.color = (
0.6079999804496765,
0.6079999804496765,
0.6079999804496765)
if hasattr(math_006_1, 'hide'):
math_006_1.hide = False
if hasattr(math_006_1, 'location'):
math_006_1.location = (-397.509033203125, -615.8211669921875)
if hasattr(math_006_1, 'mute'):
math_006_1.mute = False
if hasattr(math_006_1, 'name'):
math_006_1.name = 'Math.006'
if hasattr(math_006_1, 'operation'):
math_006_1.operation = 'MULTIPLY'
if hasattr(math_006_1, 'use_clamp'):
math_006_1.use_clamp = False
if hasattr(math_006_1, 'use_custom_color'):
math_006_1.use_custom_color = False
if hasattr(math_006_1, 'width'):
math_006_1.width = 140.0
input_ = next(
(input_ for input_ in math_006_1.inputs if input_.identifier == 'Value'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 0.5
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Value'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in math_006_1.inputs if input_.identifier == 'Value_001'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = randint(0, 9) + 1
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Value'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in math_006_1.inputs if input_.identifier == 'Value_002'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 0.5
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = False
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Value'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
output = next(
(output for output in math_006_1.outputs if output.identifier == 'Value'),
None)
if output:
if hasattr(output, 'default_value'):
output.default_value = 0.0
if hasattr(output, 'display_shape'):
output.display_shape = 'DIAMOND'
if hasattr(output, 'enabled'):
output.enabled = True
if hasattr(output, 'hide'):
output.hide = False
if hasattr(output, 'hide_value'):
output.hide_value = False
if hasattr(output, 'name'):
output.name = 'Value'
if hasattr(output, 'show_expanded'):
output.show_expanded = False
math_004_1 = node_tree1.nodes.new('ShaderNodeMath')
if hasattr(math_004_1, 'color'):
math_004_1.color = (
0.6079999804496765,
0.6079999804496765,
0.6079999804496765)
if hasattr(math_004_1, 'hide'):
math_004_1.hide = False
if hasattr(math_004_1, 'location'):
math_004_1.location = (-386.968994140625, -326.9117431640625)
if hasattr(math_004_1, 'mute'):
math_004_1.mute = False
if hasattr(math_004_1, 'name'):
math_004_1.name = 'Math.004'
if hasattr(math_004_1, 'operation'):
math_004_1.operation = 'MULTIPLY'
if hasattr(math_004_1, 'use_clamp'):
math_004_1.use_clamp = False
if hasattr(math_004_1, 'use_custom_color'):
math_004_1.use_custom_color = False
if hasattr(math_004_1, 'width'):
math_004_1.width = 140.0
input_ = next(
(input_ for input_ in math_004_1.inputs if input_.identifier == 'Value'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 0.5
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Value'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in math_004_1.inputs if input_.identifier == 'Value_001'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 10.0
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Value'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in math_004_1.inputs if input_.identifier == 'Value_002'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 0.5
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = False
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Value'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
output = next(
(output for output in math_004_1.outputs if output.identifier == 'Value'),
None)
if output:
if hasattr(output, 'default_value'):
output.default_value = 0.0
if hasattr(output, 'display_shape'):
output.display_shape = 'DIAMOND'
if hasattr(output, 'enabled'):
output.enabled = True
if hasattr(output, 'hide'):
output.hide = False
if hasattr(output, 'hide_value'):
output.hide_value = False
if hasattr(output, 'name'):
output.name = 'Value'
if hasattr(output, 'show_expanded'):
output.show_expanded = False
wave_texture_1 = node_tree1.nodes.new('ShaderNodeTexWave')
if hasattr(wave_texture_1, 'bands_direction'):
wave_texture_1.bands_direction = 'X'
if hasattr(wave_texture_1, 'color'):
wave_texture_1.color = (
0.6079999804496765,
0.6079999804496765,
0.6079999804496765)
if hasattr(wave_texture_1, 'hide'):
wave_texture_1.hide = False
if hasattr(wave_texture_1, 'location'):
wave_texture_1.location = (-1065.7056884765625, -631.5020141601562)
if hasattr(wave_texture_1, 'mute'):
wave_texture_1.mute = False
if hasattr(wave_texture_1, 'name'):
wave_texture_1.name = 'Wave Texture'
if hasattr(wave_texture_1, 'rings_direction'):
wave_texture_1.rings_direction = 'X'
if hasattr(wave_texture_1, 'use_custom_color'):
wave_texture_1.use_custom_color = False
if hasattr(wave_texture_1, 'wave_profile'):
wave_texture_1.wave_profile = 'TRI'
if hasattr(wave_texture_1, 'wave_type'):
wave_texture_1.wave_type = 'BANDS'
if hasattr(wave_texture_1, 'width'):
wave_texture_1.width = 150.0
input_ = next(
(input_ for input_ in wave_texture_1.inputs if input_.identifier == 'Vector'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = (0.0, 0.0, 0.0)
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = True
if hasattr(input_, 'name'):
input_.name = 'Vector'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in wave_texture_1.inputs if input_.identifier == 'Scale'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 0.00800000037997961
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Scale'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in wave_texture_1.inputs if input_.identifier == 'Distortion'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 14.0
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Distortion'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in wave_texture_1.inputs if input_.identifier == 'Detail'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 10.0
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Detail'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in wave_texture_1.inputs if input_.identifier == 'Detail Scale'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 1.0
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Detail Scale'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in wave_texture_1.inputs if input_.identifier ==
'Detail Roughness'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 0.5
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Detail Roughness'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in wave_texture_1.inputs if input_.identifier == 'Phase Offset'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 10.0
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Phase Offset'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
output = next(
(output for output in wave_texture_1.outputs if output.identifier == 'Color'),
None)
if output:
if hasattr(output, 'default_value'):
output.default_value = (0.0, 0.0, 0.0, 0.0)
if hasattr(output, 'display_shape'):
output.display_shape = 'DIAMOND'
if hasattr(output, 'enabled'):
output.enabled = True
if hasattr(output, 'hide'):
output.hide = False
if hasattr(output, 'hide_value'):
output.hide_value = False
if hasattr(output, 'name'):
output.name = 'Color'
if hasattr(output, 'show_expanded'):
output.show_expanded = False
output = next(
(output for output in wave_texture_1.outputs if output.identifier == 'Fac'),
None)
if output:
if hasattr(output, 'default_value'):
output.default_value = 0.0
if hasattr(output, 'display_shape'):
output.display_shape = 'DIAMOND'
if hasattr(output, 'enabled'):
output.enabled = True
if hasattr(output, 'hide'):
output.hide = False
if hasattr(output, 'hide_value'):
output.hide_value = False
if hasattr(output, 'name'):
output.name = 'Fac'
if hasattr(output, 'show_expanded'):
output.show_expanded = False
math_005_1 = node_tree1.nodes.new('ShaderNodeMath')
if hasattr(math_005_1, 'color'):
math_005_1.color = (
0.6079999804496765,
0.6079999804496765,
0.6079999804496765)
if hasattr(math_005_1, 'hide'):
math_005_1.hide = False
if hasattr(math_005_1, 'location'):
math_005_1.location = (-195.2022705078125, -56.4422607421875)
if hasattr(math_005_1, 'mute'):
math_005_1.mute = False
if hasattr(math_005_1, 'name'):
math_005_1.name = 'Math.005'
if hasattr(math_005_1, 'operation'):
math_005_1.operation = 'MULTIPLY'
if hasattr(math_005_1, 'use_clamp'):
math_005_1.use_clamp = False
if hasattr(math_005_1, 'use_custom_color'):
math_005_1.use_custom_color = False
if hasattr(math_005_1, 'width'):
math_005_1.width = 140.0
input_ = next(
(input_ for input_ in math_005_1.inputs if input_.identifier == 'Value'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 0.5
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Value'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in math_005_1.inputs if input_.identifier == 'Value_001'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 0.5
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Value'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in math_005_1.inputs if input_.identifier == 'Value_002'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 0.0
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = False
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Value'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
output = next(
(output for output in math_005_1.outputs if output.identifier == 'Value'),
None)
if output:
if hasattr(output, 'default_value'):
output.default_value = 0.0
if hasattr(output, 'display_shape'):
output.display_shape = 'DIAMOND'
if hasattr(output, 'enabled'):
output.enabled = True
if hasattr(output, 'hide'):
output.hide = False
if hasattr(output, 'hide_value'):
output.hide_value = False
if hasattr(output, 'name'):
output.name = 'Value'
if hasattr(output, 'show_expanded'):
output.show_expanded = False
math_007_1 = node_tree1.nodes.new('ShaderNodeMath')
if hasattr(math_007_1, 'color'):
math_007_1.color = (
0.6079999804496765,
0.6079999804496765,
0.6079999804496765)
if hasattr(math_007_1, 'hide'):
math_007_1.hide = False
if hasattr(math_007_1, 'location'):
math_007_1.location = (12.68963623046875, -68.28890991210938)
if hasattr(math_007_1, 'mute'):
math_007_1.mute = False
if hasattr(math_007_1, 'name'):
math_007_1.name = 'Math.007'
if hasattr(math_007_1, 'operation'):
math_007_1.operation = 'MULTIPLY'
if hasattr(math_007_1, 'use_clamp'):
math_007_1.use_clamp = False
if hasattr(math_007_1, 'use_custom_color'):
math_007_1.use_custom_color = False
if hasattr(math_007_1, 'width'):
math_007_1.width = 140.0
input_ = next(
(input_ for input_ in math_007_1.inputs if input_.identifier == 'Value'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 0.5
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Value'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in math_007_1.inputs if input_.identifier == 'Value_001'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 0.5
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Value'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in math_007_1.inputs if input_.identifier == 'Value_002'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 0.0
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = False
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Value'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
output = next(
(output for output in math_007_1.outputs if output.identifier == 'Value'),
None)
if output:
if hasattr(output, 'default_value'):
output.default_value = 0.0
if hasattr(output, 'display_shape'):
output.display_shape = 'DIAMOND'
if hasattr(output, 'enabled'):
output.enabled = True
if hasattr(output, 'hide'):
output.hide = False
if hasattr(output, 'hide_value'):
output.hide_value = False
if hasattr(output, 'name'):
output.name = 'Value'
if hasattr(output, 'show_expanded'):
output.show_expanded = False
math_008_1 = node_tree1.nodes.new('ShaderNodeMath')
if hasattr(math_008_1, 'color'):
math_008_1.color = (
0.6079999804496765,
0.6079999804496765,
0.6079999804496765)
if hasattr(math_008_1, 'hide'):
math_008_1.hide = False
if hasattr(math_008_1, 'location'):
math_008_1.location = (236.2149658203125, -64.6226806640625)
if hasattr(math_008_1, 'mute'):
math_008_1.mute = False
if hasattr(math_008_1, 'name'):
math_008_1.name = 'Math.008'
if hasattr(math_008_1, 'operation'):
math_008_1.operation = 'DIVIDE'
if hasattr(math_008_1, 'use_clamp'):
math_008_1.use_clamp = False
if hasattr(math_008_1, 'use_custom_color'):
math_008_1.use_custom_color = False
if hasattr(math_008_1, 'width'):
math_008_1.width = 140.0
input_ = next(
(input_ for input_ in math_008_1.inputs if input_.identifier == 'Value'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 0.5
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Value'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in math_008_1.inputs if input_.identifier == 'Value_001'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 5.0
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Value'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in math_008_1.inputs if input_.identifier == 'Value_002'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 0.0
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = False
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Value'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
output = next(
(output for output in math_008_1.outputs if output.identifier == 'Value'),
None)
if output:
if hasattr(output, 'default_value'):
output.default_value = 0.0
if hasattr(output, 'display_shape'):
output.display_shape = 'DIAMOND'
if hasattr(output, 'enabled'):
output.enabled = True
if hasattr(output, 'hide'):
output.hide = False
if hasattr(output, 'hide_value'):
output.hide_value = False
if hasattr(output, 'name'):
output.name = 'Value'
if hasattr(output, 'show_expanded'):
output.show_expanded = False
combine_xyz_1 = node_tree1.nodes.new('ShaderNodeCombineXYZ')
if hasattr(combine_xyz_1, 'color'):
combine_xyz_1.color = (
0.6079999804496765,
0.6079999804496765,
0.6079999804496765)
if hasattr(combine_xyz_1, 'hide'):
combine_xyz_1.hide = False
if hasattr(combine_xyz_1, 'location'):
combine_xyz_1.location = (466.69677734375, 18.8077392578125)
if hasattr(combine_xyz_1, 'mute'):
combine_xyz_1.mute = False
if hasattr(combine_xyz_1, 'name'):
combine_xyz_1.name = 'Combine XYZ'
if hasattr(combine_xyz_1, 'use_custom_color'):
combine_xyz_1.use_custom_color = False
if hasattr(combine_xyz_1, 'width'):
combine_xyz_1.width = 140.0
input_ = next(
(input_ for input_ in combine_xyz_1.inputs if input_.identifier == 'X'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 0.0
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'X'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in combine_xyz_1.inputs if input_.identifier == 'Y'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 0.0
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Y'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in combine_xyz_1.inputs if input_.identifier == 'Z'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 0.0
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Z'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
output = next(
(output for output in combine_xyz_1.outputs if output.identifier == 'Vector'),
None)
if output:
if hasattr(output, 'default_value'):
output.default_value = (0.0, 0.0, 0.0)
if hasattr(output, 'display_shape'):
output.display_shape = 'DIAMOND'
if hasattr(output, 'enabled'):
output.enabled = True
if hasattr(output, 'hide'):
output.hide = False
if hasattr(output, 'hide_value'):
output.hide_value = False
if hasattr(output, 'name'):
output.name = 'Vector'
if hasattr(output, 'show_expanded'):
output.show_expanded = False
set_position_1 = node_tree1.nodes.new('GeometryNodeSetPosition')
if hasattr(set_position_1, 'color'):
set_position_1.color = (
0.6079999804496765,
0.6079999804496765,
0.6079999804496765)
if hasattr(set_position_1, 'hide'):
set_position_1.hide = False
if hasattr(set_position_1, 'location'):
set_position_1.location = (732.45654296875, 177.203369140625)
if hasattr(set_position_1, 'mute'):
set_position_1.mute = False
if hasattr(set_position_1, 'name'):
set_position_1.name = 'Set Position'
if hasattr(set_position_1, 'use_custom_color'):
set_position_1.use_custom_color = False
if hasattr(set_position_1, 'width'):
set_position_1.width = 138.1842041015625
input_ = next(
(input_ for input_ in set_position_1.inputs if input_.identifier == 'Selection'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = True
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = True
if hasattr(input_, 'name'):
input_.name = 'Selection'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in set_position_1.inputs if input_.identifier == 'Position'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = (0.0, 0.0, 0.0)
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = True
if hasattr(input_, 'name'):
input_.name = 'Position'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in set_position_1.inputs if input_.identifier == 'Offset'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = (0.0, 0.0, 0.0)
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Offset'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
position_002_1 = node_tree1.nodes.new('GeometryNodeInputPosition')
if hasattr(position_002_1, 'color'):
position_002_1.color = (
0.6079999804496765,
0.6079999804496765,
0.6079999804496765)
if hasattr(position_002_1, 'hide'):
position_002_1.hide = False
if hasattr(position_002_1, 'location'):
position_002_1.location = (-1444.07763671875, -385.03790283203125)
if hasattr(position_002_1, 'mute'):
position_002_1.mute = False
if hasattr(position_002_1, 'name'):
position_002_1.name = 'Position.002'
if hasattr(position_002_1, 'use_custom_color'):
position_002_1.use_custom_color = False
if hasattr(position_002_1, 'width'):
position_002_1.width = 100.0
output = next(
(output for output in position_002_1.outputs if output.identifier == 'Position'),
None)
if output:
if hasattr(output, 'default_value'):
output.default_value = (0.0, 0.0, 0.0)
if hasattr(output, 'display_shape'):
output.display_shape = 'DIAMOND'
if hasattr(output, 'enabled'):
output.enabled = True
if hasattr(output, 'hide'):
output.hide = False
if hasattr(output, 'hide_value'):
output.hide_value = False
if hasattr(output, 'name'):
output.name = 'Position'
if hasattr(output, 'show_expanded'):
output.show_expanded = False
gradient_texture_1 = node_tree1.nodes.new('ShaderNodeTexGradient')
if hasattr(gradient_texture_1, 'color'):
gradient_texture_1.color = (
0.6079999804496765,
0.6079999804496765,
0.6079999804496765)
if hasattr(gradient_texture_1, 'gradient_type'):
gradient_texture_1.gradient_type = 'SPHERICAL'
if hasattr(gradient_texture_1, 'hide'):
gradient_texture_1.hide = False
if hasattr(gradient_texture_1, 'location'):
gradient_texture_1.location = (-1032.1865234375, -399.82275390625)
if hasattr(gradient_texture_1, 'mute'):
gradient_texture_1.mute = False
if hasattr(gradient_texture_1, 'name'):
gradient_texture_1.name = 'Gradient Texture'
if hasattr(gradient_texture_1, 'use_custom_color'):
gradient_texture_1.use_custom_color = False
if hasattr(gradient_texture_1, 'width'):
gradient_texture_1.width = 140.0
input_ = next(
(input_ for input_ in gradient_texture_1.inputs if input_.identifier == 'Vector'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = (0.0, 0.0, 0.0)
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = True
if hasattr(input_, 'name'):
input_.name = 'Vector'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
output = next(
(output for output in gradient_texture_1.outputs if output.identifier == 'Color'),
None)
if output:
if hasattr(output, 'default_value'):
output.default_value = (0.0, 0.0, 0.0, 0.0)
if hasattr(output, 'display_shape'):
output.display_shape = 'DIAMOND'
if hasattr(output, 'enabled'):
output.enabled = True
if hasattr(output, 'hide'):
output.hide = False
if hasattr(output, 'hide_value'):
output.hide_value = False
if hasattr(output, 'name'):
output.name = 'Color'
if hasattr(output, 'show_expanded'):
output.show_expanded = False
output = next(
(output for output in gradient_texture_1.outputs if output.identifier == 'Fac'),
None)
if output:
if hasattr(output, 'default_value'):
output.default_value = 0.0
if hasattr(output, 'display_shape'):
output.display_shape = 'DIAMOND'
if hasattr(output, 'enabled'):
output.enabled = True
if hasattr(output, 'hide'):
output.hide = False
if hasattr(output, 'hide_value'):
output.hide_value = False
if hasattr(output, 'name'):
output.name = 'Fac'
if hasattr(output, 'show_expanded'):
output.show_expanded = False
position_001_1 = node_tree1.nodes.new('GeometryNodeInputPosition')
if hasattr(position_001_1, 'color'):
position_001_1.color = (
0.6079999804496765,
0.6079999804496765,
0.6079999804496765)
if hasattr(position_001_1, 'hide'):
position_001_1.hide = False
if hasattr(position_001_1, 'location'):
position_001_1.location = (-1674.4951171875, -450.0364685058594)
if hasattr(position_001_1, 'mute'):
position_001_1.mute = False
if hasattr(position_001_1, 'name'):
position_001_1.name = 'Position.001'
if hasattr(position_001_1, 'use_custom_color'):
position_001_1.use_custom_color = False
if hasattr(position_001_1, 'width'):
position_001_1.width = 140.0
output = next(
(output for output in position_001_1.outputs if output.identifier == 'Position'),
None)
if output:
if hasattr(output, 'default_value'):
output.default_value = (0.0, 0.0, 0.0)
if hasattr(output, 'display_shape'):
output.display_shape = 'DIAMOND'
if hasattr(output, 'enabled'):
output.enabled = True
if hasattr(output, 'hide'):
output.hide = False
if hasattr(output, 'hide_value'):
output.hide_value = False
if hasattr(output, 'name'):
output.name = 'Position'
if hasattr(output, 'show_expanded'):
output.show_expanded = False
vector_math_1 = node_tree1.nodes.new('ShaderNodeVectorMath')
if hasattr(vector_math_1, 'color'):
vector_math_1.color = (
0.6079999804496765,
0.6079999804496765,
0.6079999804496765)
if hasattr(vector_math_1, 'hide'):
vector_math_1.hide = False
if hasattr(vector_math_1, 'location'):
vector_math_1.location = (-1458.2401123046875, -68.27154541015625)
if hasattr(vector_math_1, 'mute'):
vector_math_1.mute = False
if hasattr(vector_math_1, 'name'):
vector_math_1.name = 'Vector Math'
if hasattr(vector_math_1, 'operation'):
vector_math_1.operation = 'ADD'
if hasattr(vector_math_1, 'use_custom_color'):
vector_math_1.use_custom_color = False
if hasattr(vector_math_1, 'width'):
vector_math_1.width = 140.0
input_ = next(
(input_ for input_ in vector_math_1.inputs if input_.identifier == 'Vector'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = (0.0, 0.0, 0.0)
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Vector'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in vector_math_1.inputs if input_.identifier == 'Vector_001'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = (0.0, 0.0, 0.0)
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Vector'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in vector_math_1.inputs if input_.identifier == 'Vector_002'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = (0.0, 0.0, 0.0)
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = False
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Vector'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in vector_math_1.inputs if input_.identifier == 'Scale'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 1.0
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = False
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Scale'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
output = next(
(output for output in vector_math_1.outputs if output.identifier == 'Vector'),
None)
if output:
if hasattr(output, 'default_value'):
output.default_value = (0.0, 0.0, 0.0)
if hasattr(output, 'display_shape'):
output.display_shape = 'DIAMOND'
if hasattr(output, 'enabled'):
output.enabled = True
if hasattr(output, 'hide'):
output.hide = False
if hasattr(output, 'hide_value'):
output.hide_value = False
if hasattr(output, 'name'):
output.name = 'Vector'
if hasattr(output, 'show_expanded'):
output.show_expanded = False
output = next(
(output for output in vector_math_1.outputs if output.identifier == 'Value'),
None)
if output:
if hasattr(output, 'default_value'):
output.default_value = 0.0
if hasattr(output, 'display_shape'):
output.display_shape = 'DIAMOND'
if hasattr(output, 'enabled'):
output.enabled = False
if hasattr(output, 'hide'):
output.hide = False
if hasattr(output, 'hide_value'):
output.hide_value = False
if hasattr(output, 'name'):
output.name = 'Value'
if hasattr(output, 'show_expanded'):
output.show_expanded = False
combine_xyz_001_1 = node_tree1.nodes.new('ShaderNodeCombineXYZ')
if hasattr(combine_xyz_001_1, 'color'):
combine_xyz_001_1.color = (
0.6079999804496765,
0.6079999804496765,
0.6079999804496765)
if hasattr(combine_xyz_001_1, 'hide'):
combine_xyz_001_1.hide = False
if hasattr(combine_xyz_001_1, 'location'):
combine_xyz_001_1.location = (-1675.7265625, -680.0128173828125)
if hasattr(combine_xyz_001_1, 'mute'):
combine_xyz_001_1.mute = False
if hasattr(combine_xyz_001_1, 'name'):
combine_xyz_001_1.name = 'Combine XYZ.001'
if hasattr(combine_xyz_001_1, 'use_custom_color'):
combine_xyz_001_1.use_custom_color = False
if hasattr(combine_xyz_001_1, 'width'):
combine_xyz_001_1.width = 140.0
input_ = next(
(input_ for input_ in combine_xyz_001_1.inputs if input_.identifier == 'X'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 0.0
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'X'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in combine_xyz_001_1.inputs if input_.identifier == 'Y'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 0.0
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Y'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in combine_xyz_001_1.inputs if input_.identifier == 'Z'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 0.0
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Z'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
output = next(
(output for output in combine_xyz_001_1.outputs if output.identifier == 'Vector'),
None)
if output:
if hasattr(output, 'default_value'):
output.default_value = (0.0, 0.0, 0.0)
if hasattr(output, 'display_shape'):
output.display_shape = 'DIAMOND_DOT'
if hasattr(output, 'enabled'):
output.enabled = True
if hasattr(output, 'hide'):
output.hide = False
if hasattr(output, 'hide_value'):
output.hide_value = False
if hasattr(output, 'name'):
output.name = 'Vector'
if hasattr(output, 'show_expanded'):
output.show_expanded = False
vector_math_002_1 = node_tree1.nodes.new('ShaderNodeVectorMath')
if hasattr(vector_math_002_1, 'color'):
vector_math_002_1.color = (
0.6079999804496765,
0.6079999804496765,
0.6079999804496765)
if hasattr(vector_math_002_1, 'hide'):
vector_math_002_1.hide = False
if hasattr(vector_math_002_1, 'location'):
vector_math_002_1.location = (-1418.8975830078125, -645.041015625)
if hasattr(vector_math_002_1, 'mute'):
vector_math_002_1.mute = False
if hasattr(vector_math_002_1, 'name'):
vector_math_002_1.name = 'Vector Math.002'
if hasattr(vector_math_002_1, 'operation'):
vector_math_002_1.operation = 'ADD'
if hasattr(vector_math_002_1, 'use_custom_color'):
vector_math_002_1.use_custom_color = False
if hasattr(vector_math_002_1, 'width'):
vector_math_002_1.width = 140.0
input_ = next(
(input_ for input_ in vector_math_002_1.inputs if input_.identifier == 'Vector'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = (0.0, 0.0, 0.0)
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Vector'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in vector_math_002_1.inputs if input_.identifier == 'Vector_001'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = (0.0, 0.0, 0.0)
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Vector'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in vector_math_002_1.inputs if input_.identifier == 'Vector_002'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = (0.0, 0.0, 0.0)
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = False
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Vector'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in vector_math_002_1.inputs if input_.identifier == 'Scale'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 1.0
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = False
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Scale'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
output = next(
(output for output in vector_math_002_1.outputs if output.identifier == 'Vector'),
None)
if output:
if hasattr(output, 'default_value'):
output.default_value = (0.0, 0.0, 0.0)
if hasattr(output, 'display_shape'):
output.display_shape = 'DIAMOND'
if hasattr(output, 'enabled'):
output.enabled = True
if hasattr(output, 'hide'):
output.hide = False
if hasattr(output, 'hide_value'):
output.hide_value = False
if hasattr(output, 'name'):
output.name = 'Vector'
if hasattr(output, 'show_expanded'):
output.show_expanded = False
output = next(
(output for output in vector_math_002_1.outputs if output.identifier == 'Value'),
None)
if output:
if hasattr(output, 'default_value'):
output.default_value = 0.0
if hasattr(output, 'display_shape'):
output.display_shape = 'DIAMOND'
if hasattr(output, 'enabled'):
output.enabled = False
if hasattr(output, 'hide'):
output.hide = False
if hasattr(output, 'hide_value'):
output.hide_value = False
if hasattr(output, 'name'):
output.name = 'Value'
if hasattr(output, 'show_expanded'):
output.show_expanded = False
value_1 = node_tree1.nodes.new('ShaderNodeValue')
if hasattr(value_1, 'color'):
value_1.color = (
0.6079999804496765,
0.6079999804496765,
0.6079999804496765)
if hasattr(value_1, 'hide'):
value_1.hide = False
if hasattr(value_1, 'location'):
value_1.location = (-1039.0345458984375, 128.6600341796875)
if hasattr(value_1, 'mute'):
value_1.mute = False
if hasattr(value_1, 'name'):
value_1.name = 'Value'
if hasattr(value_1, 'use_custom_color'):
value_1.use_custom_color = False
if hasattr(value_1, 'width'):
value_1.width = 140.0
output = next(
(output for output in value_1.outputs if output.identifier == 'Value'),
None)
if output:
if hasattr(output, 'default_value'):
output.default_value = 30.12345
if hasattr(output, 'display_shape'):
output.display_shape = 'CIRCLE'
if hasattr(output, 'enabled'):
output.enabled = True
if hasattr(output, 'hide'):
output.hide = False
if hasattr(output, 'hide_value'):
output.hide_value = False
if hasattr(output, 'name'):
output.name = 'Value'
if hasattr(output, 'show_expanded'):
output.show_expanded = False
math_003_1 = node_tree1.nodes.new('ShaderNodeMath')
if hasattr(math_003_1, 'color'):
math_003_1.color = (
0.6079999804496765,
0.6079999804496765,
0.6079999804496765)
if hasattr(math_003_1, 'hide'):
math_003_1.hide = False
if hasattr(math_003_1, 'location'):
math_003_1.location = (-2056.113525390625, -80.286865234375)
if hasattr(math_003_1, 'mute'):
math_003_1.mute = False
if hasattr(math_003_1, 'name'):
math_003_1.name = 'Math.003'
if hasattr(math_003_1, 'operation'):
math_003_1.operation = 'MULTIPLY_ADD'
if hasattr(math_003_1, 'use_clamp'):
math_003_1.use_clamp = False
if hasattr(math_003_1, 'use_custom_color'):
math_003_1.use_custom_color = False
if hasattr(math_003_1, 'width'):
math_003_1.width = 140.0
input_ = next(
(input_ for input_ in math_003_1.inputs if input_.identifier == 'Value'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 0.5
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Value'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in math_003_1.inputs if input_.identifier == 'Value_001'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 100000.0
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Value'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in math_003_1.inputs if input_.identifier == 'Value_002'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 10000.0
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Value'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
output = next(
(output for output in math_003_1.outputs if output.identifier == 'Value'),
None)
if output:
if hasattr(output, 'default_value'):
output.default_value = 0.0
if hasattr(output, 'display_shape'):
output.display_shape = 'DIAMOND_DOT'
if hasattr(output, 'enabled'):
output.enabled = True
if hasattr(output, 'hide'):
output.hide = False
if hasattr(output, 'hide_value'):
output.hide_value = False
if hasattr(output, 'name'):
output.name = 'Value'
if hasattr(output, 'show_expanded'):
output.show_expanded = False
group_input_1 = node_tree1.nodes.new('NodeGroupInput')
if hasattr(group_input_1, 'color'):
group_input_1.color = (
0.6079999804496765,
0.6079999804496765,
0.6079999804496765)
if hasattr(group_input_1, 'hide'):
group_input_1.hide = False
if hasattr(group_input_1, 'location'):
group_input_1.location = (-2557.44189453125, 79.42236328125)
if hasattr(group_input_1, 'mute'):
group_input_1.mute = False
if hasattr(group_input_1, 'name'):
group_input_1.name = 'Group Input'
if hasattr(group_input_1, 'use_custom_color'):
group_input_1.use_custom_color = False
if hasattr(group_input_1, 'width'):
group_input_1.width = 140.0
value_001_1 = node_tree1.nodes.new('ShaderNodeValue')
if hasattr(value_001_1, 'color'):
value_001_1.color = (
0.6079999804496765,
0.6079999804496765,
0.6079999804496765)
if hasattr(value_001_1, 'hide'):
value_001_1.hide = False
if hasattr(value_001_1, 'location'):
value_001_1.location = (-2328.45849609375, -130.68389892578125)
if hasattr(value_001_1, 'mute'):
value_001_1.mute = False
if hasattr(value_001_1, 'name'):
value_001_1.name = 'Value.001'
if hasattr(value_001_1, 'use_custom_color'):
value_001_1.use_custom_color = False
if hasattr(value_001_1, 'width'):
value_001_1.width = 140.0
output = next(
(output for output in value_001_1.outputs if output.identifier == 'Value'),
None)
if output:
if hasattr(output, 'default_value'):
output.default_value = uniform(0, 10.12345)
if hasattr(output, 'display_shape'):
output.display_shape = 'CIRCLE'
if hasattr(output, 'enabled'):
output.enabled = True
if hasattr(output, 'hide'):
output.hide = False
if hasattr(output, 'hide_value'):
output.hide_value = False
if hasattr(output, 'name'):
output.name = 'Value'
if hasattr(output, 'show_expanded'):
output.show_expanded = False
noise_texture_1 = node_tree1.nodes.new('ShaderNodeTexNoise')
if hasattr(noise_texture_1, 'color'):
noise_texture_1.color = (
0.6079999804496765,
0.6079999804496765,
0.6079999804496765)
if hasattr(noise_texture_1, 'hide'):
noise_texture_1.hide = False
if hasattr(noise_texture_1, 'location'):
noise_texture_1.location = (-1280.82421875, -97.9427490234375)
if hasattr(noise_texture_1, 'mute'):
noise_texture_1.mute = False
if hasattr(noise_texture_1, 'name'):
noise_texture_1.name = 'Noise Texture'
if hasattr(noise_texture_1, 'noise_dimensions'):
noise_texture_1.noise_dimensions = '3D'
if hasattr(noise_texture_1, 'use_custom_color'):
noise_texture_1.use_custom_color = False
if hasattr(noise_texture_1, 'width'):
noise_texture_1.width = 140.0
input_ = next(
(input_ for input_ in noise_texture_1.inputs if input_.identifier == 'Vector'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = (0.0, 0.0, 0.0)
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = True
if hasattr(input_, 'name'):
input_.name = 'Vector'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in noise_texture_1.inputs if input_.identifier == 'W'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 0.0
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = False
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'W'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in noise_texture_1.inputs if input_.identifier == 'Scale'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 0.03999999910593033
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Scale'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in noise_texture_1.inputs if input_.identifier == 'Detail'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 10.0
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Detail'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in noise_texture_1.inputs if input_.identifier == 'Roughness'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 0.4000000059604645
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Roughness'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
input_ = next(
(input_ for input_ in noise_texture_1.inputs if input_.identifier == 'Distortion'),
None)
if input_:
if hasattr(input_, 'default_value'):
input_.default_value = 0.0
if hasattr(input_, 'display_shape'):
input_.display_shape = 'DIAMOND_DOT'
if hasattr(input_, 'enabled'):
input_.enabled = True
if hasattr(input_, 'hide'):
input_.hide = False
if hasattr(input_, 'hide_value'):
input_.hide_value = False
if hasattr(input_, 'name'):
input_.name = 'Distortion'
if hasattr(input_, 'show_expanded'):
input_.show_expanded = False
output = next(
(output for output in noise_texture_1.outputs if output.identifier == 'Fac'),
None)
if output:
if hasattr(output, 'default_value'):
output.default_value = 0.0
if hasattr(output, 'display_shape'):
output.display_shape = 'DIAMOND'
if hasattr(output, 'enabled'):
output.enabled = True
if hasattr(output, 'hide'):
output.hide = False
if hasattr(output, 'hide_value'):
output.hide_value = False
if hasattr(output, 'name'):
output.name = 'Fac'
if hasattr(output, 'show_expanded'):
output.show_expanded = False
output = next(
(output for output in noise_texture_1.outputs if output.identifier == 'Color'),
None)
if output:
if hasattr(output, 'default_value'):
output.default_value = (0.0, 0.0, 0.0, 0.0)
if hasattr(output, 'display_shape'):
output.display_shape = 'DIAMOND'
if hasattr(output, 'enabled'):
output.enabled = True
if hasattr(output, 'hide'):
output.hide = False
if hasattr(output, 'hide_value'):
output.hide_value = False
if hasattr(output, 'name'):
output.name = 'Color'
if hasattr(output, 'show_expanded'):
output.show_expanded = False
# LINKS
node_tree1.links.new(subdivide_mesh_1.outputs[0], set_position_1.inputs[0])
node_tree1.links.new(noise_texture_1.outputs[0], colorramp_1.inputs[0])
node_tree1.links.new(position_1.outputs[0], set_position_1.inputs[2])
node_tree1.links.new(position_001_1.outputs[0], vector_math_1.inputs[0])
node_tree1.links.new(vector_math_1.outputs[0], noise_texture_1.inputs[0])
node_tree1.links.new(combine_xyz_001_1.outputs[0], vector_math_1.inputs[1])
node_tree1.links.new(math_1.outputs[0], combine_xyz_001_1.inputs[0])
node_tree1.links.new(math_002_1.outputs[0], combine_xyz_001_1.inputs[1])
node_tree1.links.new(math_003_1.outputs[0], combine_xyz_001_1.inputs[2])
node_tree1.links.new(math_003_1.outputs[0], math_1.inputs[0])
node_tree1.links.new(math_003_1.outputs[0], math_002_1.inputs[0])
node_tree1.links.new(
position_002_1.outputs[0],
vector_math_001_1.inputs[0])
node_tree1.links.new(
vector_math_001_1.outputs[0],
gradient_texture_1.inputs[0])
node_tree1.links.new(
gradient_texture_1.outputs[0],
colorramp_001_1.inputs[0])
node_tree1.links.new(colorramp_001_1.outputs[0], math_004_1.inputs[0])
node_tree1.links.new(math_004_1.outputs[0], math_005_1.inputs[1])
node_tree1.links.new(combine_xyz_1.outputs[0], set_position_1.inputs[3])
node_tree1.links.new(math_005_1.outputs[0], math_007_1.inputs[0])
node_tree1.links.new(colorramp_002_1.outputs[0], math_006_1.inputs[0])
node_tree1.links.new(colorramp_1.outputs[0], math_005_1.inputs[0])
node_tree1.links.new(math_006_1.outputs[0], math_007_1.inputs[1])
node_tree1.links.new(wave_texture_1.outputs[0], colorramp_002_1.inputs[0])
node_tree1.links.new(math_007_1.outputs[0], math_008_1.inputs[0])
node_tree1.links.new(math_008_1.outputs[0], combine_xyz_1.inputs[2])
node_tree1.links.new(
position_001_1.outputs[0],
vector_math_002_1.inputs[0])
node_tree1.links.new(
vector_math_002_1.outputs[0],
wave_texture_1.inputs[0])
node_tree1.links.new(
combine_xyz_001_1.outputs[0],
vector_math_002_1.inputs[1])
node_tree1.links.new(value_1.outputs[0], subdivide_mesh_1.inputs[1])
node_tree1.links.new(group_input_1.outputs[0], subdivide_mesh_1.inputs[0])
node_tree1.links.new(set_position_1.outputs[0], group_output_1.inputs[0])
node_tree1.links.new(value_001_1.outputs[0], math_003_1.inputs[0])
if __name__ == "__main__":
start_checkpoint = time()
run_ops_without_view_layer_update(main)
if RENDER:
print("Rendering...")
checkpoint = time()
working_dir = getcwd()
bpy.context.scene.render.filepath = (working_dir + "/output/output_" + argv[7])
bpy.context.scene.cycles.samples = int(256 * RENDER_SAMPLE_FACTOR)
bpy.context.scene.render.resolution_x = 3840 * RENDER_SIZE_FACTOR
bpy.context.scene.render.resolution_y = 1644 * RENDER_SIZE_FACTOR
bpy.context.scene.cycles.device = 'GPU'
bpy.ops.render.render('INVOKE_DEFAULT', write_still=True)
print("--- %s seconds ---\n" % (time() - checkpoint))
print("Total Time: %s seconds \n" % (time() - start_checkpoint))
| 39.103622
| 100
| 0.598644
| 15,033
| 124,154
| 4.656423
| 0.044968
| 0.119957
| 0.0888
| 0.037457
| 0.839286
| 0.798629
| 0.737271
| 0.708571
| 0.674743
| 0.642686
| 0
| 0.064077
| 0.290422
| 124,154
| 3,174
| 101
| 39.115942
| 0.730502
| 0.027812
| 0
| 0.638364
| 0
| 0
| 0.102274
| 0.002571
| 0
| 0
| 0
| 0
| 0
| 1
| 0.006531
| false
| 0.002406
| 0.003094
| 0
| 0.013063
| 0.007907
| 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
|
ffbc090d2a8e8a9ba48ccacd3122b93d577ee955
| 122
|
py
|
Python
|
sistemas/admin.py
|
luisfarfan/django_intranetapp
|
bb7e0c08706d8fdf9b1eae437baa1f5850dbd0bd
|
[
"Apache-2.0"
] | null | null | null |
sistemas/admin.py
|
luisfarfan/django_intranetapp
|
bb7e0c08706d8fdf9b1eae437baa1f5850dbd0bd
|
[
"Apache-2.0"
] | null | null | null |
sistemas/admin.py
|
luisfarfan/django_intranetapp
|
bb7e0c08706d8fdf9b1eae437baa1f5850dbd0bd
|
[
"Apache-2.0"
] | null | null | null |
from django.contrib import admin
from .models import Sistema
# Register your models here.
#admin.site.register(Sistema)
| 17.428571
| 32
| 0.795082
| 17
| 122
| 5.705882
| 0.647059
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.131148
| 122
| 6
| 33
| 20.333333
| 0.915094
| 0.442623
| 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
|
ffc592bb5786f5c5f46ff5eaac75c00a2772bb7a
| 18,121
|
py
|
Python
|
context_free/tests/test_grammar.py
|
alekfrohlich/cfg
|
44c671a4eb0699f7ff86070b2c29bab76d1c981e
|
[
"MIT"
] | 1
|
2021-03-23T13:30:29.000Z
|
2021-03-23T13:30:29.000Z
|
context_free/tests/test_grammar.py
|
alekfrohlich/cfg
|
44c671a4eb0699f7ff86070b2c29bab76d1c981e
|
[
"MIT"
] | null | null | null |
context_free/tests/test_grammar.py
|
alekfrohlich/cfg
|
44c671a4eb0699f7ff86070b2c29bab76d1c981e
|
[
"MIT"
] | null | null | null |
"""ContextFreeGrammar unit tests."""
import os
import filecmp
import unittest
from context_free.grammar import CFGS_DIR, ContextFreeGrammar, OrderedSet
from context_free.parser import PredictiveParser
class TestContextFreeGrammar(unittest.TestCase):
def test_constructor(self):
cfg = ContextFreeGrammar("test_constructorA.cfg")
# Test well tokenized
self.assertEqual(cfg.rules["S"] , OrderedSet([("B", "d"), ("&",)]))
self.assertEqual(cfg.rules["B"] , OrderedSet([("A", "b", "❬B'❭")]))
self.assertEqual(cfg.rules["❬B'❭"], OrderedSet([("c", "❬B'❭"), ("&",)]))
self.assertEqual(cfg.rules["A"] , OrderedSet([("a", "❬A'❭"), ("❬A'❭",)]))
self.assertEqual(cfg.rules["❬A'❭"], OrderedSet([("b", "❬B'❭", "d", "a", "❬A'❭"), ("&",)]))
cfg.save_to_file("test_constructorT.cfg")
test_path = os.path.join(CFGS_DIR, "test_constructorT.cfg")
ref_path = os.path.join(CFGS_DIR, "test_constructorA.cfg")
self.assertTrue(filecmp.cmp(test_path, ref_path))
cfg2 = ContextFreeGrammar("test_constructorA.cfg")
self.assertEqual(cfg2.rules["S"] , OrderedSet([("B", "d"), ("&",)]))
self.assertEqual(cfg2.rules["B"] , OrderedSet([("A", "b", "❬B'❭")]))
self.assertEqual(cfg2.rules["❬B'❭"], OrderedSet([("c", "❬B'❭"), ("&",)]))
self.assertEqual(cfg2.rules["A"] , OrderedSet([("a", "❬A'❭"), ("❬A'❭",)]))
self.assertEqual(cfg2.rules["❬A'❭"], OrderedSet([("b", "❬B'❭", "d", "a", "❬A'❭"), ("&",)]))
# print(cfg)
# print(cfg2)
def test_escape_chars(self):
"""
Notes
-----
read().split('\n')[i].split() produces \\n and \\t, which are
considered two distinct symbols.
"""
cfg = ContextFreeGrammar("test_escape_chars.cfg")
self.assertNotEqual(cfg.rules["S"], OrderedSet([("\n",), ("\t",)]))
# print(cfg)
def test_spec(self):
with self.assertRaises(RuntimeError):
ContextFreeGrammar("test_spec_1.cfg")
def test_rlr(self):
cfg = ContextFreeGrammar("test_rlr_1.cfg")
cfg.remove_left_recursion()
cfg.save_to_file("test_rlr_1T.cfg")
test_path = os.path.join(CFGS_DIR, "test_rlr_1T.cfg")
ref_path = os.path.join(CFGS_DIR, "test_rlr_1A.cfg")
self.assertTrue(filecmp.cmp(test_path, ref_path))
ContextFreeGrammar("test_rlr_1A.cfg") # TEST .CFG CONFORMATION
cfg = ContextFreeGrammar("test_rlr_2.cfg")
cfg.remove_left_recursion()
cfg.save_to_file("test_rlr_2T.cfg")
test_path = os.path.join(CFGS_DIR, "test_rlr_2T.cfg")
ref_path = os.path.join(CFGS_DIR, "test_rlr_2A.cfg")
self.assertTrue(filecmp.cmp(test_path, ref_path))
ContextFreeGrammar("test_rlr_2A.cfg") # TEST .CFG CONFORMATION
cfg = ContextFreeGrammar("test_rlr_exs_3a.cfg")
cfg.remove_left_recursion()
cfg.save_to_file("test_rlr_exs_3aT.cfg")
test_path = os.path.join(CFGS_DIR, "test_rlr_exs_3aT.cfg")
ref_path = os.path.join(CFGS_DIR, "test_rlr_exs_3aA.cfg")
self.assertTrue(filecmp.cmp(test_path, ref_path))
ContextFreeGrammar("test_rlr_exs_3aA.cfg") # TEST .CFG CONFORMATION
def test_ru(self):
cfg = ContextFreeGrammar("test_ru_1.cfg")
cfg.remove_unit()
cfg.save_to_file("test_ru_1T.cfg")
test_path = os.path.join(CFGS_DIR, "test_ru_1T.cfg")
ref_path = os.path.join(CFGS_DIR, "test_ru_1A.cfg")
self.assertTrue(filecmp.cmp(test_path, ref_path))
ContextFreeGrammar("test_ru_1A.cfg") # TEST .CFG CONFORMATION
cfg = ContextFreeGrammar("test_ru_2.cfg")
cfg.remove_unit()
cfg.save_to_file("test_ru_2T.cfg")
test_path = os.path.join(CFGS_DIR, "test_ru_2T.cfg")
ref_path = os.path.join(CFGS_DIR, "test_ru_2A.cfg")
self.assertTrue(filecmp.cmp(test_path, ref_path))
ContextFreeGrammar("test_ru_2A.cfg") # TEST .CFG CONFORMATION
cfg = ContextFreeGrammar("test_ru_3.cfg")
cfg.remove_unit()
cfg.save_to_file("test_ru_3T.cfg")
test_path = os.path.join(CFGS_DIR, "test_ru_3T.cfg")
ref_path = os.path.join(CFGS_DIR, "test_ru_3A.cfg")
self.assertTrue(filecmp.cmp(test_path, ref_path))
ContextFreeGrammar("test_ru_3A.cfg") # TEST .CFG CONFORMATION
cfg = ContextFreeGrammar("test_ru_4.cfg")
cfg.remove_unit()
cfg.save_to_file("test_ru_4T.cfg")
test_path = os.path.join(CFGS_DIR, "test_ru_4T.cfg")
ref_path = os.path.join(CFGS_DIR, "test_ru_4A.cfg")
self.assertTrue(filecmp.cmp(test_path, ref_path))
ContextFreeGrammar("test_ru_4A.cfg") # TEST .CFG CONFORMATION
cfg = ContextFreeGrammar("test_ru_5.cfg")
cfg.remove_unit()
cfg.save_to_file("test_ru_5T.cfg")
test_path = os.path.join(CFGS_DIR, "test_ru_5T.cfg")
ref_path = os.path.join(CFGS_DIR, "test_ru_5A.cfg")
self.assertTrue(filecmp.cmp(test_path, ref_path))
ContextFreeGrammar("test_ru_5A.cfg") # TEST .CFG CONFORMATION
def test_re(self):
cfg = ContextFreeGrammar("test_re_1.cfg")
cfg.remove_epsilon()
cfg.save_to_file("test_re_1T.cfg")
test_path = os.path.join(CFGS_DIR, "test_re_1T.cfg")
ref_path = os.path.join(CFGS_DIR, "test_re_1A.cfg")
self.assertTrue(filecmp.cmp(test_path, ref_path))
cfg = ContextFreeGrammar("test_re_2.cfg")
cfg.remove_epsilon()
cfg.save_to_file("test_re_2T.cfg")
test_path = os.path.join(CFGS_DIR, "test_re_2T.cfg")
ref_path = os.path.join(CFGS_DIR, "test_re_2A.cfg")
self.assertTrue(filecmp.cmp(test_path, ref_path))
cfg = ContextFreeGrammar("test_re_3.cfg")
cfg.remove_epsilon()
cfg.save_to_file("test_re_3T.cfg")
test_path = os.path.join(CFGS_DIR, "test_re_3T.cfg")
ref_path = os.path.join(CFGS_DIR, "test_re_3A.cfg")
self.assertTrue(filecmp.cmp(test_path, ref_path))
def test_rup(self):
cfg = ContextFreeGrammar("test_rup_1.cfg")
cfg.remove_unproductives()
cfg.save_to_file("test_rup_1T.cfg")
test_path = os.path.join(CFGS_DIR, "test_rup_1T.cfg")
ref_path = os.path.join(CFGS_DIR, "test_rup_1A.cfg")
self.assertTrue(filecmp.cmp(test_path, ref_path))
cfg = ContextFreeGrammar("test_rup_2.cfg")
cfg.remove_unproductives()
cfg.save_to_file("test_rup_2T.cfg")
test_path = os.path.join(CFGS_DIR, "test_rup_2T.cfg")
ref_path = os.path.join(CFGS_DIR, "test_rup_2A.cfg")
self.assertTrue(filecmp.cmp(test_path, ref_path))
def test_rur(self):
cfg = ContextFreeGrammar("test_rur_1.cfg")
cfg.remove_unreachables()
cfg.save_to_file("test_rur_1T.cfg")
test_path = os.path.join(CFGS_DIR, "test_rur_1T.cfg")
ref_path = os.path.join(CFGS_DIR, "test_rur_1A.cfg")
self.assertTrue(filecmp.cmp(test_path, ref_path))
def test_rt(self):
cfg = ContextFreeGrammar("test_rt_1.cfg")
cfg.replace_terminals()
cfg.save_to_file("test_rt_1T.cfg")
test_path = os.path.join(CFGS_DIR, "test_rt_1T.cfg")
ref_path = os.path.join(CFGS_DIR, "test_rt_1A.cfg")
self.assertTrue(filecmp.cmp(test_path, ref_path))
def test_rs(self):
cfg = ContextFreeGrammar("test_rs_1.cfg")
cfg.reduce_size()
cfg.save_to_file("test_rs_1T.cfg")
test_path = os.path.join(CFGS_DIR, "test_rs_1T.cfg")
ref_path = os.path.join(CFGS_DIR, "test_rs_1A.cfg")
self.assertTrue(filecmp.cmp(test_path, ref_path))
cfg = ContextFreeGrammar("test_rs_2.cfg")
cfg.reduce_size()
cfg.save_to_file("test_rs_2T.cfg")
test_path = os.path.join(CFGS_DIR, "test_rs_2T.cfg")
ref_path = os.path.join(CFGS_DIR, "test_rs_2A.cfg")
self.assertTrue(filecmp.cmp(test_path, ref_path))
def test_fnc(self):
cfg = ContextFreeGrammar("test_fnc_1.cfg")
cfg.convert_to_cnf()
cfg.save_to_file("test_fnc_1T.cfg")
test_path = os.path.join(CFGS_DIR, "test_fnc_1T.cfg")
ref_path = os.path.join(CFGS_DIR, "test_fnc_1A.cfg")
self.assertTrue(filecmp.cmp(test_path, ref_path))
ContextFreeGrammar("test_fnc_1.cfg") # TEST .CFG CONFORMATION
def test_hlr(self):
cfg = ContextFreeGrammar("test_rlr_1.cfg")
self.assertTrue(cfg.has_left_recursion())
cfg = ContextFreeGrammar("test_rlr_2.cfg")
self.assertTrue(cfg.has_left_recursion())
cfg = ContextFreeGrammar("test_rlr_exs_3a.cfg")
self.assertTrue(cfg.has_left_recursion())
cfg = ContextFreeGrammar("test_rlr_1A.cfg")
self.assertFalse(cfg.has_left_recursion())
cfg = ContextFreeGrammar("test_rlr_2A.cfg")
self.assertFalse(cfg.has_left_recursion())
cfg = ContextFreeGrammar("test_rlr_exs_3aA.cfg")
self.assertFalse(cfg.has_left_recursion())
cfg = ContextFreeGrammar("test_ll1_1.cfg")
self.assertFalse(cfg.has_left_recursion())
cfg = ContextFreeGrammar("test_ll1_2.cfg")
self.assertFalse(cfg.has_left_recursion())
cfg = ContextFreeGrammar("test_ll1_3.cfg")
self.assertFalse(cfg.has_left_recursion())
def test_he(self):
cfg = ContextFreeGrammar("test_re_1.cfg")
self.assertTrue(cfg.has_e())
cfg = ContextFreeGrammar("test_re_2.cfg")
self.assertTrue(cfg.has_e())
cfg = ContextFreeGrammar("test_re_3.cfg")
self.assertTrue(cfg.has_e())
cfg = ContextFreeGrammar("test_re_1A.cfg")
self.assertFalse(cfg.has_e())
cfg = ContextFreeGrammar("test_re_2A.cfg")
self.assertFalse(cfg.has_e())
cfg = ContextFreeGrammar("test_re_3A.cfg")
self.assertFalse(cfg.has_e())
cfg = ContextFreeGrammar("test_rlr_exs_3aA.cfg")
self.assertTrue(cfg.has_e())
cfg = ContextFreeGrammar("test_rlr_exs_3aA.cfg")
cfg.remove_epsilon()
self.assertFalse(cfg.has_e())
def test_hc(self):
cfg = ContextFreeGrammar("test_hc_1.cfg")
self.assertTrue(cfg.has_cycle())
cfg = ContextFreeGrammar("test_hc_2.cfg")
self.assertTrue(cfg.has_cycle())
cfg = ContextFreeGrammar("test_hc_3.cfg")
self.assertTrue(cfg.has_cycle())
cfg = ContextFreeGrammar("test_hc_4.cfg")
self.assertTrue(cfg.has_cycle())
cfg = ContextFreeGrammar("test_hc_1.cfg")
cfg.remove_unit()
self.assertFalse(cfg.has_cycle())
cfg = ContextFreeGrammar("test_hc_2.cfg")
cfg.remove_unit()
self.assertFalse(cfg.has_cycle())
cfg = ContextFreeGrammar("test_hc_3.cfg")
cfg.remove_unit()
self.assertFalse(cfg.has_cycle())
cfg = ContextFreeGrammar("test_hc_4.cfg")
cfg.remove_unit()
self.assertFalse(cfg.has_cycle())
cfg = ContextFreeGrammar("test_fnc_1.cfg")
self.assertFalse(cfg.has_cycle())
def test_lf(self):
cfg = ContextFreeGrammar("test_lf_1.cfg")
cfg.left_factoring()
cfg.save_to_file("test_lf_1T.cfg")
test_path = os.path.join(CFGS_DIR, "test_lf_1T.cfg")
ref_path = os.path.join(CFGS_DIR, "test_lf_1A.cfg")
self.assertTrue(filecmp.cmp(test_path, ref_path))
ContextFreeGrammar("test_lf_1A.cfg") # TEST .CFG CONFORMATION
cfg = ContextFreeGrammar("test_lf_2.cfg")
cfg.left_factoring()
cfg.save_to_file("test_lf_2T.cfg")
test_path = os.path.join(CFGS_DIR, "test_lf_2T.cfg")
ref_path = os.path.join(CFGS_DIR, "test_lf_2A.cfg")
self.assertTrue(filecmp.cmp(test_path, ref_path))
ContextFreeGrammar("test_lf_2A.cfg") # TEST .CFG CONFORMATION
cfg = ContextFreeGrammar("test_lf_3.cfg")
cfg.left_factoring()
cfg.save_to_file("test_lf_3T.cfg")
test_path = os.path.join(CFGS_DIR, "test_lf_3T.cfg")
ref_path = os.path.join(CFGS_DIR, "test_lf_3A.cfg")
self.assertTrue(filecmp.cmp(test_path, ref_path))
ContextFreeGrammar("test_lf_3A.cfg") # TEST .CFG CONFORMATION
cfg = ContextFreeGrammar("test_lf_4.cfg")
self.assertFalse(cfg.left_factoring())
cfg = ContextFreeGrammar("test_lf_5.cfg")
self.assertFalse(cfg.left_factoring())
cfg = ContextFreeGrammar("test_lf_6.cfg")
cfg.left_factoring()
cfg.save_to_file("test_lf_6T.cfg")
test_path = os.path.join(CFGS_DIR, "test_lf_6T.cfg")
ref_path = os.path.join(CFGS_DIR, "test_lf_6A.cfg")
self.assertTrue(filecmp.cmp(test_path, ref_path))
ContextFreeGrammar("test_lf_6A.cfg") # TEST .CFG CONFORMATION
cfg = ContextFreeGrammar("test_lf_exs_4c.cfg")
cfg.left_factoring()
cfg.save_to_file("test_lf_exs_4cT.cfg")
test_path = os.path.join(CFGS_DIR, "test_lf_exs_4cT.cfg")
ref_path = os.path.join(CFGS_DIR, "test_lf_exs_4cA.cfg")
self.assertTrue(filecmp.cmp(test_path, ref_path))
ContextFreeGrammar("test_lf_exs_4cA.cfg") # TEST .CFG CONFORMATION
cfg = ContextFreeGrammar("test_lf_follow_1.cfg")
cfg.left_factoring()
cfg.save_to_file("test_lf_follow_1T.cfg")
test_path = os.path.join(CFGS_DIR, "test_lf_follow_1T.cfg")
ref_path = os.path.join(CFGS_DIR, "test_lf_follow_1A.cfg")
self.assertTrue(filecmp.cmp(test_path, ref_path))
ContextFreeGrammar("test_lf_follow_1A.cfg") # TEST .CFG CONFORMATION
cfg = ContextFreeGrammar("test_lf_1e.cfg")
cfg.left_factoring()
cfg.save_to_file("test_lf_1eT.cfg")
test_path = os.path.join(CFGS_DIR, "test_lf_1eT.cfg")
ref_path = os.path.join(CFGS_DIR, "test_lf_1eA.cfg")
self.assertTrue(filecmp.cmp(test_path, ref_path))
ContextFreeGrammar("test_lf_1eA.cfg") # TEST .CFG CONFORMATION
def test_firsts(self):
cfg = ContextFreeGrammar("test_ll1_1.cfg")
firsts = {t:OrderedSet([t]) for t in OrderedSet(['&']) | cfg.terminals}
firsts.update({
'P': OrderedSet(['c', '&', 'v', 'f', 'b', 'k']),
'K': OrderedSet(['c', '&']),
'V': OrderedSet(['v', 'f', '&']),
'F': OrderedSet(['f', '&']),
'C': OrderedSet(['b', 'k', '&']),
})
self.assertEqual(firsts, cfg.firsts())
cfg = ContextFreeGrammar("test_ll1_2.cfg")
firsts = {t:OrderedSet([t]) for t in OrderedSet(['&']) | cfg.terminals}
# NOTE: dict equality doesn't consider its order
firsts.update({
'A':OrderedSet(['a', '&']),
'B':OrderedSet(['b', 'a', 'd', '&']),
'S':OrderedSet(['a', 'b', 'd', 'c']),
})
self.assertEqual(firsts, cfg.firsts())
cfg = ContextFreeGrammar("test_ll1_3.cfg")
firsts = {t:OrderedSet([t]) for t in OrderedSet(['&']) | cfg.terminals}
firsts.update({
'S':OrderedSet(['a', 'b', 'c', 'd']),
'A':OrderedSet(['a', '&' ]),
'B':OrderedSet(['b', 'a', 'c', 'd']),
'C':OrderedSet(['c', '&' ]),
})
self.assertEqual(firsts, cfg.firsts())
def test_follows(self):
cfg = ContextFreeGrammar("test_ll1_1.cfg")
follows = {
'P': OrderedSet(['$', ';']),
'K': OrderedSet(['v', 'f', 'b', 'k', '$', ';']),
'V': OrderedSet(['b', 'k', '$', 'e', ';']),
'F': OrderedSet(['b', 'k', '$', 'e', ';']),
'C': OrderedSet(['$', 'e', ';']),
}
self.assertEqual(follows, cfg.follows())
cfg = ContextFreeGrammar("test_ll1_2.cfg")
follows = {
'S':OrderedSet(['$']),
'B':OrderedSet(['c']),
'A':OrderedSet(['b', 'a', 'd', 'c']),
}
self.assertEqual(follows, cfg.follows())
cfg = ContextFreeGrammar("test_ll1_3.cfg")
follows = {
'S':OrderedSet(['$']),
'A':OrderedSet(['b', 'a', 'c', 'd']),
'B':OrderedSet(['c', '$']),
'C':OrderedSet(['$', 'd']),
}
self.assertEqual(follows, cfg.follows())
def test_make_LL1_table(self):
cfg = ContextFreeGrammar("test_ll1_1.cfg")
prods = ['STARTS AT 1', ('K', 'V', 'C'), ('c', 'K'), ('&',), ('v', 'V'), ('F',), ('f', 'P', ';', 'F'), ('&',), ('b', 'V', 'C', 'e'), ('k', ';', 'C'), ('&',)]
table = {
('P', 'b'): prods[1], ('P', 'k'): prods[1], ('P', 'c'): prods[1], ('P', 'f'): prods[1], ('P', 'v'): prods[1], ('P', '$'): prods[1], ('P', ';'): prods[1],
('K', 'b'): prods[3], ('K', 'k'): prods[3], ('K', 'c'): prods[2], ('K', 'f'): prods[3], ('K', 'v'): prods[3], ('K', '$'): prods[3], ('K', ';'): prods[3],
('V', 'b'): prods[5], ('V', 'k'): prods[5], ('V', 'e'): prods[5], ('V', 'f'): prods[5], ('V', 'v'): prods[4], ('V', '$'): prods[5], ('V', ';'): prods[5],
('F', 'b'): prods[7], ('F', 'k'): prods[7], ('F', 'e'): prods[7], ('F', 'f'): prods[6], ('F', '$'): prods[7], ('F', ';'): prods[7],
('C', 'b'): prods[8], ('C', 'k'): prods[9], ('C', 'e'): prods[10], ('C', '$'): prods[10], ('C', ';'): prods[10],
}
self.assertEqual(table, cfg.make_LL1_table())
cfg = ContextFreeGrammar("test_ll1_4.cfg")
prods = ['STARTS AT 1', ('T', 'R'), ('o', 'T', 'R'), ('&',), ('F', 'U'), ('a', 'F', 'U'), ('&', ), ('n','F'), ('i',)]
table = {
('E', 'i'): prods[1], ('E', 'n'): prods[1],
('R', 'o'): prods[2], ('R', '$'): prods[3],
('T', 'i'): prods[4], ('T', 'n'): prods[4],
('U', 'o'): prods[6], ('U', 'a'): prods[5], ('U', '$'): prods[6],
('F', 'i'): prods[8], ('F', 'n'): prods[7]
}
self.assertEqual(table, cfg.make_LL1_table())
def test_make_LL1_parser(self):
cfg = ContextFreeGrammar("test_ll1_1.cfg")
parser = cfg.make_LL1_parser()
self.assertTrue(parser.parse("cvfbe;"))
self.assertFalse(parser.parse("&"))
| 41.466819
| 165
| 0.593345
| 2,440
| 18,121
| 4.154918
| 0.064344
| 0.177944
| 0.157822
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| 18,121
| 436
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| 41.561927
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0
| 5
|
ffcbe7d5edd06f00e49a052c4b179a2d0e7737b8
| 24
|
py
|
Python
|
JDjango/dialogs/dialogORM/__init__.py
|
JIYANG-PLUS/JDjango
|
57cbb13b2b4c07f34d546c0c637c22f60c1e692a
|
[
"MIT"
] | 3
|
2020-12-28T05:09:02.000Z
|
2021-06-23T10:02:03.000Z
|
JDjango/dialogs/dialogORM/__init__.py
|
JIYANG-PLUS/JDjango
|
57cbb13b2b4c07f34d546c0c637c22f60c1e692a
|
[
"MIT"
] | null | null | null |
JDjango/dialogs/dialogORM/__init__.py
|
JIYANG-PLUS/JDjango
|
57cbb13b2b4c07f34d546c0c637c22f60c1e692a
|
[
"MIT"
] | null | null | null |
from .dialogORM import *
| 24
| 24
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0
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4b8bb9d3b6f55ce971a9f1c428c8d726b07d9b13
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py
|
Python
|
src/openapi_dataclasses/types/openapi/requestbody.py
|
cal-pratt/openapi-dataclasses
|
106a0c7466dfd29beed1fa1734182f59d9c94393
|
[
"MIT"
] | null | null | null |
src/openapi_dataclasses/types/openapi/requestbody.py
|
cal-pratt/openapi-dataclasses
|
106a0c7466dfd29beed1fa1734182f59d9c94393
|
[
"MIT"
] | null | null | null |
src/openapi_dataclasses/types/openapi/requestbody.py
|
cal-pratt/openapi-dataclasses
|
106a0c7466dfd29beed1fa1734182f59d9c94393
|
[
"MIT"
] | null | null | null |
from dataclasses import dataclass
@dataclass
class OpenApiRequestBody:
""" """
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0
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|
4b8e7829a905a65f4a1199b1e14adf38cac40ccc
| 14,465
|
py
|
Python
|
clients/python/generated/pyaemcloudmanagerapi/models/pipeline_execution_step_state_links.py
|
shinesolutions/cloudmanager-api-clients
|
d73a25878f6cc57af954362ba8dccc90d54e6131
|
[
"Apache-2.0"
] | 3
|
2020-06-23T05:31:52.000Z
|
2020-11-26T05:34:57.000Z
|
clients/python/generated/pyaemcloudmanagerapi/models/pipeline_execution_step_state_links.py
|
shinesolutions/cloudmanager-api-clients
|
d73a25878f6cc57af954362ba8dccc90d54e6131
|
[
"Apache-2.0"
] | 2
|
2021-01-21T01:19:54.000Z
|
2021-12-09T22:30:22.000Z
|
clients/python/generated/pyaemcloudmanagerapi/models/pipeline_execution_step_state_links.py
|
shinesolutions/cloudmanager-api-clients
|
d73a25878f6cc57af954362ba8dccc90d54e6131
|
[
"Apache-2.0"
] | 1
|
2020-11-18T11:48:13.000Z
|
2020-11-18T11:48:13.000Z
|
# coding: utf-8
"""
Cloud Manager API
This API allows access to Cloud Manager programs, pipelines, and environments by an authorized technical account created through the Adobe I/O Console. The base url for this API is https://cloudmanager.adobe.io, e.g. to get the list of programs for an organization, you would make a GET request to https://cloudmanager.adobe.io/api/programs (with the correct set of headers as described below). This swagger file can be downloaded from https://raw.githubusercontent.com/AdobeDocs/cloudmanager-api-docs/master/swagger-specs/api.yaml. # noqa: E501
The version of the OpenAPI document: 1.0.0
Contact: opensource@shinesolutions.com
Generated by: https://openapi-generator.tech
"""
import pprint
import re # noqa: F401
import six
from pyaemcloudmanagerapi.configuration import Configuration
class PipelineExecutionStepStateLinks(object):
"""NOTE: This class is auto generated by OpenAPI Generator.
Ref: https://openapi-generator.tech
Do not edit the class manually.
"""
"""
Attributes:
openapi_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is attribute name
and the value is json key in definition.
"""
openapi_types = {
'http__ns_adobe_com_adobecloud_rel_execution': 'HalLink',
'http__ns_adobe_com_adobecloud_rel_pipeline': 'HalLink',
'http__ns_adobe_com_adobecloud_rel_pipeline_logs': 'HalLink',
'http__ns_adobe_com_adobecloud_rel_pipeline_metrics': 'HalLink',
'http__ns_adobe_com_adobecloud_rel_pipeline_advance': 'HalLink',
'http__ns_adobe_com_adobecloud_rel_pipeline_cancel': 'HalLink',
'http__ns_adobe_com_adobecloud_rel_program': 'HalLink',
'_self': 'HalLink'
}
attribute_map = {
'http__ns_adobe_com_adobecloud_rel_execution': 'http://ns.adobe.com/adobecloud/rel/execution',
'http__ns_adobe_com_adobecloud_rel_pipeline': 'http://ns.adobe.com/adobecloud/rel/pipeline',
'http__ns_adobe_com_adobecloud_rel_pipeline_logs': 'http://ns.adobe.com/adobecloud/rel/pipeline/logs',
'http__ns_adobe_com_adobecloud_rel_pipeline_metrics': 'http://ns.adobe.com/adobecloud/rel/pipeline/metrics',
'http__ns_adobe_com_adobecloud_rel_pipeline_advance': 'http://ns.adobe.com/adobecloud/rel/pipeline/advance',
'http__ns_adobe_com_adobecloud_rel_pipeline_cancel': 'http://ns.adobe.com/adobecloud/rel/pipeline/cancel',
'http__ns_adobe_com_adobecloud_rel_program': 'http://ns.adobe.com/adobecloud/rel/program',
'_self': 'self'
}
def __init__(self, http__ns_adobe_com_adobecloud_rel_execution=None, http__ns_adobe_com_adobecloud_rel_pipeline=None, http__ns_adobe_com_adobecloud_rel_pipeline_logs=None, http__ns_adobe_com_adobecloud_rel_pipeline_metrics=None, http__ns_adobe_com_adobecloud_rel_pipeline_advance=None, http__ns_adobe_com_adobecloud_rel_pipeline_cancel=None, http__ns_adobe_com_adobecloud_rel_program=None, _self=None, local_vars_configuration=None): # noqa: E501
"""PipelineExecutionStepStateLinks - a model defined in OpenAPI""" # noqa: E501
if local_vars_configuration is None:
local_vars_configuration = Configuration()
self.local_vars_configuration = local_vars_configuration
self._http__ns_adobe_com_adobecloud_rel_execution = None
self._http__ns_adobe_com_adobecloud_rel_pipeline = None
self._http__ns_adobe_com_adobecloud_rel_pipeline_logs = None
self._http__ns_adobe_com_adobecloud_rel_pipeline_metrics = None
self._http__ns_adobe_com_adobecloud_rel_pipeline_advance = None
self._http__ns_adobe_com_adobecloud_rel_pipeline_cancel = None
self._http__ns_adobe_com_adobecloud_rel_program = None
self.__self = None
self.discriminator = None
if http__ns_adobe_com_adobecloud_rel_execution is not None:
self.http__ns_adobe_com_adobecloud_rel_execution = http__ns_adobe_com_adobecloud_rel_execution
if http__ns_adobe_com_adobecloud_rel_pipeline is not None:
self.http__ns_adobe_com_adobecloud_rel_pipeline = http__ns_adobe_com_adobecloud_rel_pipeline
if http__ns_adobe_com_adobecloud_rel_pipeline_logs is not None:
self.http__ns_adobe_com_adobecloud_rel_pipeline_logs = http__ns_adobe_com_adobecloud_rel_pipeline_logs
if http__ns_adobe_com_adobecloud_rel_pipeline_metrics is not None:
self.http__ns_adobe_com_adobecloud_rel_pipeline_metrics = http__ns_adobe_com_adobecloud_rel_pipeline_metrics
if http__ns_adobe_com_adobecloud_rel_pipeline_advance is not None:
self.http__ns_adobe_com_adobecloud_rel_pipeline_advance = http__ns_adobe_com_adobecloud_rel_pipeline_advance
if http__ns_adobe_com_adobecloud_rel_pipeline_cancel is not None:
self.http__ns_adobe_com_adobecloud_rel_pipeline_cancel = http__ns_adobe_com_adobecloud_rel_pipeline_cancel
if http__ns_adobe_com_adobecloud_rel_program is not None:
self.http__ns_adobe_com_adobecloud_rel_program = http__ns_adobe_com_adobecloud_rel_program
if _self is not None:
self._self = _self
@property
def http__ns_adobe_com_adobecloud_rel_execution(self):
"""Gets the http__ns_adobe_com_adobecloud_rel_execution of this PipelineExecutionStepStateLinks. # noqa: E501
:return: The http__ns_adobe_com_adobecloud_rel_execution of this PipelineExecutionStepStateLinks. # noqa: E501
:rtype: HalLink
"""
return self._http__ns_adobe_com_adobecloud_rel_execution
@http__ns_adobe_com_adobecloud_rel_execution.setter
def http__ns_adobe_com_adobecloud_rel_execution(self, http__ns_adobe_com_adobecloud_rel_execution):
"""Sets the http__ns_adobe_com_adobecloud_rel_execution of this PipelineExecutionStepStateLinks.
:param http__ns_adobe_com_adobecloud_rel_execution: The http__ns_adobe_com_adobecloud_rel_execution of this PipelineExecutionStepStateLinks. # noqa: E501
:type: HalLink
"""
self._http__ns_adobe_com_adobecloud_rel_execution = http__ns_adobe_com_adobecloud_rel_execution
@property
def http__ns_adobe_com_adobecloud_rel_pipeline(self):
"""Gets the http__ns_adobe_com_adobecloud_rel_pipeline of this PipelineExecutionStepStateLinks. # noqa: E501
:return: The http__ns_adobe_com_adobecloud_rel_pipeline of this PipelineExecutionStepStateLinks. # noqa: E501
:rtype: HalLink
"""
return self._http__ns_adobe_com_adobecloud_rel_pipeline
@http__ns_adobe_com_adobecloud_rel_pipeline.setter
def http__ns_adobe_com_adobecloud_rel_pipeline(self, http__ns_adobe_com_adobecloud_rel_pipeline):
"""Sets the http__ns_adobe_com_adobecloud_rel_pipeline of this PipelineExecutionStepStateLinks.
:param http__ns_adobe_com_adobecloud_rel_pipeline: The http__ns_adobe_com_adobecloud_rel_pipeline of this PipelineExecutionStepStateLinks. # noqa: E501
:type: HalLink
"""
self._http__ns_adobe_com_adobecloud_rel_pipeline = http__ns_adobe_com_adobecloud_rel_pipeline
@property
def http__ns_adobe_com_adobecloud_rel_pipeline_logs(self):
"""Gets the http__ns_adobe_com_adobecloud_rel_pipeline_logs of this PipelineExecutionStepStateLinks. # noqa: E501
:return: The http__ns_adobe_com_adobecloud_rel_pipeline_logs of this PipelineExecutionStepStateLinks. # noqa: E501
:rtype: HalLink
"""
return self._http__ns_adobe_com_adobecloud_rel_pipeline_logs
@http__ns_adobe_com_adobecloud_rel_pipeline_logs.setter
def http__ns_adobe_com_adobecloud_rel_pipeline_logs(self, http__ns_adobe_com_adobecloud_rel_pipeline_logs):
"""Sets the http__ns_adobe_com_adobecloud_rel_pipeline_logs of this PipelineExecutionStepStateLinks.
:param http__ns_adobe_com_adobecloud_rel_pipeline_logs: The http__ns_adobe_com_adobecloud_rel_pipeline_logs of this PipelineExecutionStepStateLinks. # noqa: E501
:type: HalLink
"""
self._http__ns_adobe_com_adobecloud_rel_pipeline_logs = http__ns_adobe_com_adobecloud_rel_pipeline_logs
@property
def http__ns_adobe_com_adobecloud_rel_pipeline_metrics(self):
"""Gets the http__ns_adobe_com_adobecloud_rel_pipeline_metrics of this PipelineExecutionStepStateLinks. # noqa: E501
:return: The http__ns_adobe_com_adobecloud_rel_pipeline_metrics of this PipelineExecutionStepStateLinks. # noqa: E501
:rtype: HalLink
"""
return self._http__ns_adobe_com_adobecloud_rel_pipeline_metrics
@http__ns_adobe_com_adobecloud_rel_pipeline_metrics.setter
def http__ns_adobe_com_adobecloud_rel_pipeline_metrics(self, http__ns_adobe_com_adobecloud_rel_pipeline_metrics):
"""Sets the http__ns_adobe_com_adobecloud_rel_pipeline_metrics of this PipelineExecutionStepStateLinks.
:param http__ns_adobe_com_adobecloud_rel_pipeline_metrics: The http__ns_adobe_com_adobecloud_rel_pipeline_metrics of this PipelineExecutionStepStateLinks. # noqa: E501
:type: HalLink
"""
self._http__ns_adobe_com_adobecloud_rel_pipeline_metrics = http__ns_adobe_com_adobecloud_rel_pipeline_metrics
@property
def http__ns_adobe_com_adobecloud_rel_pipeline_advance(self):
"""Gets the http__ns_adobe_com_adobecloud_rel_pipeline_advance of this PipelineExecutionStepStateLinks. # noqa: E501
:return: The http__ns_adobe_com_adobecloud_rel_pipeline_advance of this PipelineExecutionStepStateLinks. # noqa: E501
:rtype: HalLink
"""
return self._http__ns_adobe_com_adobecloud_rel_pipeline_advance
@http__ns_adobe_com_adobecloud_rel_pipeline_advance.setter
def http__ns_adobe_com_adobecloud_rel_pipeline_advance(self, http__ns_adobe_com_adobecloud_rel_pipeline_advance):
"""Sets the http__ns_adobe_com_adobecloud_rel_pipeline_advance of this PipelineExecutionStepStateLinks.
:param http__ns_adobe_com_adobecloud_rel_pipeline_advance: The http__ns_adobe_com_adobecloud_rel_pipeline_advance of this PipelineExecutionStepStateLinks. # noqa: E501
:type: HalLink
"""
self._http__ns_adobe_com_adobecloud_rel_pipeline_advance = http__ns_adobe_com_adobecloud_rel_pipeline_advance
@property
def http__ns_adobe_com_adobecloud_rel_pipeline_cancel(self):
"""Gets the http__ns_adobe_com_adobecloud_rel_pipeline_cancel of this PipelineExecutionStepStateLinks. # noqa: E501
:return: The http__ns_adobe_com_adobecloud_rel_pipeline_cancel of this PipelineExecutionStepStateLinks. # noqa: E501
:rtype: HalLink
"""
return self._http__ns_adobe_com_adobecloud_rel_pipeline_cancel
@http__ns_adobe_com_adobecloud_rel_pipeline_cancel.setter
def http__ns_adobe_com_adobecloud_rel_pipeline_cancel(self, http__ns_adobe_com_adobecloud_rel_pipeline_cancel):
"""Sets the http__ns_adobe_com_adobecloud_rel_pipeline_cancel of this PipelineExecutionStepStateLinks.
:param http__ns_adobe_com_adobecloud_rel_pipeline_cancel: The http__ns_adobe_com_adobecloud_rel_pipeline_cancel of this PipelineExecutionStepStateLinks. # noqa: E501
:type: HalLink
"""
self._http__ns_adobe_com_adobecloud_rel_pipeline_cancel = http__ns_adobe_com_adobecloud_rel_pipeline_cancel
@property
def http__ns_adobe_com_adobecloud_rel_program(self):
"""Gets the http__ns_adobe_com_adobecloud_rel_program of this PipelineExecutionStepStateLinks. # noqa: E501
:return: The http__ns_adobe_com_adobecloud_rel_program of this PipelineExecutionStepStateLinks. # noqa: E501
:rtype: HalLink
"""
return self._http__ns_adobe_com_adobecloud_rel_program
@http__ns_adobe_com_adobecloud_rel_program.setter
def http__ns_adobe_com_adobecloud_rel_program(self, http__ns_adobe_com_adobecloud_rel_program):
"""Sets the http__ns_adobe_com_adobecloud_rel_program of this PipelineExecutionStepStateLinks.
:param http__ns_adobe_com_adobecloud_rel_program: The http__ns_adobe_com_adobecloud_rel_program of this PipelineExecutionStepStateLinks. # noqa: E501
:type: HalLink
"""
self._http__ns_adobe_com_adobecloud_rel_program = http__ns_adobe_com_adobecloud_rel_program
@property
def _self(self):
"""Gets the _self of this PipelineExecutionStepStateLinks. # noqa: E501
:return: The _self of this PipelineExecutionStepStateLinks. # noqa: E501
:rtype: HalLink
"""
return self.__self
@_self.setter
def _self(self, _self):
"""Sets the _self of this PipelineExecutionStepStateLinks.
:param _self: The _self of this PipelineExecutionStepStateLinks. # noqa: E501
:type: HalLink
"""
self.__self = _self
def to_dict(self):
"""Returns the model properties as a dict"""
result = {}
for attr, _ in six.iteritems(self.openapi_types):
value = getattr(self, attr)
if isinstance(value, list):
result[attr] = list(map(
lambda x: x.to_dict() if hasattr(x, "to_dict") else x,
value
))
elif hasattr(value, "to_dict"):
result[attr] = value.to_dict()
elif isinstance(value, dict):
result[attr] = dict(map(
lambda item: (item[0], item[1].to_dict())
if hasattr(item[1], "to_dict") else item,
value.items()
))
else:
result[attr] = value
return result
def to_str(self):
"""Returns the string representation of the model"""
return pprint.pformat(self.to_dict())
def __repr__(self):
"""For `print` and `pprint`"""
return self.to_str()
def __eq__(self, other):
"""Returns true if both objects are equal"""
if not isinstance(other, PipelineExecutionStepStateLinks):
return False
return self.to_dict() == other.to_dict()
def __ne__(self, other):
"""Returns true if both objects are not equal"""
if not isinstance(other, PipelineExecutionStepStateLinks):
return True
return self.to_dict() != other.to_dict()
| 47.582237
| 550
| 0.75617
| 1,852
| 14,465
| 5.314255
| 0.089093
| 0.085349
| 0.156472
| 0.199147
| 0.820159
| 0.815688
| 0.815688
| 0.773318
| 0.693761
| 0.594595
| 0
| 0.007721
| 0.185206
| 14,465
| 303
| 551
| 47.739274
| 0.827338
| 0.350363
| 0
| 0.089552
| 0
| 0
| 0.124111
| 0.07512
| 0
| 0
| 0
| 0
| 0
| 1
| 0.164179
| false
| 0
| 0.029851
| 0
| 0.328358
| 0.014925
| 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
|
4bb2234c01d06e3332f2e800db9cab21d477b4be
| 180
|
py
|
Python
|
opus/exceptions.py
|
svartalf/python-opus
|
a3c1d556d2772b5be659ddd08c033ddd4d566b3a
|
[
"BSD-3-Clause"
] | 22
|
2015-01-12T21:18:41.000Z
|
2021-08-10T04:07:15.000Z
|
opus/exceptions.py
|
svartalf/python-opus
|
a3c1d556d2772b5be659ddd08c033ddd4d566b3a
|
[
"BSD-3-Clause"
] | 3
|
2015-12-21T08:14:39.000Z
|
2020-12-08T15:36:17.000Z
|
opus/exceptions.py
|
svartalf/python-opus
|
a3c1d556d2772b5be659ddd08c033ddd4d566b3a
|
[
"BSD-3-Clause"
] | 21
|
2015-01-02T22:18:53.000Z
|
2021-02-03T15:44:43.000Z
|
from opus.api.info import strerror
class OpusError(Exception):
def __init__(self, code):
self.code = code
def __str__(self):
return strerror(self.code)
| 16.363636
| 34
| 0.661111
| 23
| 180
| 4.826087
| 0.652174
| 0.216216
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.244444
| 180
| 10
| 35
| 18
| 0.816176
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.166667
| 0.166667
| 0.833333
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
29c9943bd38b6960265abbd735174821fdf6cf30
| 36
|
py
|
Python
|
create_component/errorManager.py
|
isaacismaelx14/Project-Manager-CLI
|
2439334d20e75931d6023a123d4ee8069d936ac2
|
[
"MIT"
] | null | null | null |
create_component/errorManager.py
|
isaacismaelx14/Project-Manager-CLI
|
2439334d20e75931d6023a123d4ee8069d936ac2
|
[
"MIT"
] | null | null | null |
create_component/errorManager.py
|
isaacismaelx14/Project-Manager-CLI
|
2439334d20e75931d6023a123d4ee8069d936ac2
|
[
"MIT"
] | null | null | null |
class ErrorExp(Exception):
pass
| 12
| 26
| 0.722222
| 4
| 36
| 6.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.194444
| 36
| 2
| 27
| 18
| 0.896552
| 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
|
29ddd86d0866f3749bc95cce7beca82308e83e2b
| 54
|
py
|
Python
|
tests/bytecode/mp-tests/tuple3.py
|
LabAixBidouille/micropython
|
11aa6ba456287d6c80598a7ebbebd2887ce8f5a2
|
[
"MIT"
] | 303
|
2015-07-11T17:12:55.000Z
|
2018-01-08T03:02:37.000Z
|
tests/bytecode/mp-tests/tuple3.py
|
LabAixBidouille/micropython
|
11aa6ba456287d6c80598a7ebbebd2887ce8f5a2
|
[
"MIT"
] | 13
|
2016-05-12T16:51:22.000Z
|
2018-01-10T22:33:25.000Z
|
tests/bytecode/mp-tests/tuple3.py
|
LabAixBidouille/micropython
|
11aa6ba456287d6c80598a7ebbebd2887ce8f5a2
|
[
"MIT"
] | 26
|
2018-01-18T09:15:33.000Z
|
2022-02-07T13:09:14.000Z
|
def f(x):
return x, x + 1
for a in b, c:
f(a)
| 10.8
| 19
| 0.444444
| 14
| 54
| 1.714286
| 0.714286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.030303
| 0.388889
| 54
| 4
| 20
| 13.5
| 0.69697
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0
| 0.25
| 0.5
| 0
| 1
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 5
|
29e2e21adda9d6306c24fa4f31b723f9989914e7
| 189
|
py
|
Python
|
core/src/apps/management/apply_flags.py
|
Kayuii/trezor-crypto
|
6556616681a4e2d7e18817e8692d4f6e041dee01
|
[
"MIT"
] | null | null | null |
core/src/apps/management/apply_flags.py
|
Kayuii/trezor-crypto
|
6556616681a4e2d7e18817e8692d4f6e041dee01
|
[
"MIT"
] | 1
|
2019-02-08T00:22:42.000Z
|
2019-02-13T09:41:54.000Z
|
core/src/apps/management/apply_flags.py
|
Kayuii/trezor-crypto
|
6556616681a4e2d7e18817e8692d4f6e041dee01
|
[
"MIT"
] | 2
|
2019-02-07T23:57:09.000Z
|
2020-10-21T07:07:27.000Z
|
from trezor.messages.Success import Success
from apps.common import storage
async def apply_flags(ctx, msg):
storage.set_flags(msg.flags)
return Success(message="Flags applied")
| 21
| 43
| 0.772487
| 27
| 189
| 5.333333
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 189
| 8
| 44
| 23.625
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0.068783
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.4
| 0
| 0.6
| 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
|
29e71e7b895c91779a8dac45da12565a0782dd67
| 3,742
|
py
|
Python
|
SpaceHabitRPG/Tests/Frontend/LoginPageRequests.py
|
joelliusp/SpaceHabit
|
5656ef4d9c57f3e58d0ed756a3aa754c8a7dd6a5
|
[
"MIT"
] | null | null | null |
SpaceHabitRPG/Tests/Frontend/LoginPageRequests.py
|
joelliusp/SpaceHabit
|
5656ef4d9c57f3e58d0ed756a3aa754c8a7dd6a5
|
[
"MIT"
] | 13
|
2016-07-19T04:13:20.000Z
|
2016-08-17T06:06:47.000Z
|
SpaceHabitRPG/Tests/Frontend/LoginPageRequests.py
|
joelliusp/SpaceHabit
|
5656ef4d9c57f3e58d0ed756a3aa754c8a7dd6a5
|
[
"MIT"
] | null | null | null |
from SpaceUnitTest import SpaceUnitTest
import SpaceHabitServer
import DatabaseLayer
import threading
import cherrypy
import time
import requests
import json
import DatabaseTestSetupCleanup as dbHelp
class Test_LoginSaveNewUserWithRequests(SpaceUnitTest):
@classmethod
def setUpClass(cls):
DatabaseLayer.isUnitTestMode = True
cls.server = SpaceHabitServer.HabitServer()
cls.server.start()
ticks = 0
while cherrypy.engine.state != cherrypy.engine.states.STARTED:
time.sleep(1)
ticks += 1
if ticks >= 10:
raise TimeoutError("ran out of time")
return super().setUpClass()
@classmethod
def tearDownClass(cls):
dbHelp.clean_up()
cls.server.stop()
ticks = 0
while cherrypy.engine.state != cherrypy.engine.states.STOPPED:
time.sleep(1)
ticks += 1
if ticks >= 10:
raise TimeoutError("ran out of time")
return super().tearDownClass()
def test_send_success(self):
s = requests.Session()
r = s.post("http://127.0.0.1:8080/login/save_new_user/",params={'email1':"a@b.c",
'email2':"a@b.c",'pw1':"123456",'pw2':"123456",'shipName':"USS Enterprise"})
self.assertEqual(r.status_code,200)
data = json.loads(r.text)
self.assertEqual(data['success'], True)
def test_insert_user_missing_param(self):
s = requests.Session()
r = s.post("http://127.0.0.1:8080/login/save_new_user/",params={'email1':"a@b.c",
'email2':"a@b.c",'pw1':"123456",'pw2':"123456"})
self.assertEqual(r.status_code,404)
def test_send_missing_input2_pw1_pw2(self):
s = requests.Session()
r = s.post("http://127.0.0.1:8080/login/save_new_user/",params={'email1':"a@b.c",
'email2':"",'pw1':"",'pw2':"",'shipName':""})
self.assertEqual(r.status_code,200)
data = json.loads(r.text)
self.assertEqual(data['success'], False)
def test_send_missing_pw(self):
s = requests.Session()
r = s.post("http://127.0.0.1:8080/login/save_new_user/",params={'email1':"a@b.c",
'email2':"a@b.c",'pw1':"",'pw2':"",'shipName':""})
self.assertEqual(r.status_code,200)
data = json.loads(r.text)
self.assertEqual(data['success'], False)
def test_send_taken_email(self):
dbHelp.create_login_using_test_values()
s = requests.Session()
r = s.post("http://127.0.0.1:8080/login/save_new_user/",params={'email1':"a@b.c",
'email2':"a@b.c",'pw1':"123456",'pw2':"123456",'shipName':""})
self.assertEqual(r.status_code,200)
data = json.loads(r.text)
self.assertEqual(data['success'], False)
def test_send_mismatched_email(self):
s = requests.Session()
r = s.post("http://127.0.0.1:8080/login/save_new_user/",params={'email1':"a@b.c",
'email2':"b@c.d",'pw1':"123456",'pw2':"123456",'shipName':""})
self.assertEqual(r.status_code,200)
data = json.loads(r.text)
self.assertEqual(data['success'], False)
def test_send_bad_pw(self):
s = requests.Session()
r = s.post("http://127.0.0.1:8080/login/save_new_user/",params={'email1':"a@b.c",
'email2':"b@c.d",'pw1':"123",'pw2':"123",'shipName':""})
self.assertEqual(r.status_code,200)
data = json.loads(r.text)
self.assertEqual(data['success'], False)
def test_send_mismatched_pw(self):
s = requests.Session()
r = s.post("http://127.0.0.1:8080/login/save_new_user/",params={'email1':"a@b.c",
'email2':"b@c.d",'pw1':"123456",'pw2':"abcdef",'shipName':""})
self.assertEqual(r.status_code,200)
data = json.loads(r.text)
self.assertEqual(data['success'], False)
if __name__ == '__main__':
unittest.main()
| 34.330275
| 87
| 0.629075
| 517
| 3,742
| 4.4294
| 0.195358
| 0.0131
| 0.015721
| 0.059389
| 0.727511
| 0.716157
| 0.716157
| 0.716157
| 0.716157
| 0.672489
| 0
| 0.068547
| 0.185195
| 3,742
| 108
| 88
| 34.648148
| 0.682519
| 0
| 0
| 0.533333
| 0
| 0
| 0.214089
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 1
| 0.111111
| false
| 0
| 0.1
| 0
| 0.244444
| 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
|
29fa8ab11b6ff634c6e14e128d8e905e829b28da
| 212
|
py
|
Python
|
condo_app/tennis_app/views.py
|
amateur-dev/django_condo_facility_booking_app
|
ec3fd076ae2d459a2c0590c944755c7154dc2335
|
[
"BSD-3-Clause"
] | null | null | null |
condo_app/tennis_app/views.py
|
amateur-dev/django_condo_facility_booking_app
|
ec3fd076ae2d459a2c0590c944755c7154dc2335
|
[
"BSD-3-Clause"
] | null | null | null |
condo_app/tennis_app/views.py
|
amateur-dev/django_condo_facility_booking_app
|
ec3fd076ae2d459a2c0590c944755c7154dc2335
|
[
"BSD-3-Clause"
] | null | null | null |
from django.shortcuts import render
from django.http import HttpRequest, HttpResponse
# Create your views here.
def index(request):
return HttpResponse("Hello you are in the landing page of the tennis_app")
| 30.285714
| 78
| 0.792453
| 31
| 212
| 5.387097
| 0.83871
| 0.11976
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.150943
| 212
| 7
| 78
| 30.285714
| 0.927778
| 0.108491
| 0
| 0
| 0
| 0
| 0.271277
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.5
| 0.25
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 5
|
4b13d9e22a556375856b1d5e79c2e0ff97ad2112
| 353
|
py
|
Python
|
lib/googlecloudapis/sqladmin/v1beta3/__init__.py
|
IsaacHuang/google-cloud-sdk
|
52afa5d1a75dff08f4f5380c5cccc015bf796ca5
|
[
"Apache-2.0"
] | null | null | null |
lib/googlecloudapis/sqladmin/v1beta3/__init__.py
|
IsaacHuang/google-cloud-sdk
|
52afa5d1a75dff08f4f5380c5cccc015bf796ca5
|
[
"Apache-2.0"
] | null | null | null |
lib/googlecloudapis/sqladmin/v1beta3/__init__.py
|
IsaacHuang/google-cloud-sdk
|
52afa5d1a75dff08f4f5380c5cccc015bf796ca5
|
[
"Apache-2.0"
] | 2
|
2020-07-25T05:03:06.000Z
|
2020-11-04T04:55:57.000Z
|
"""Common imports for generated sqladmin client library."""
# pylint:disable=wildcard-import
import pkgutil
from googlecloudapis.apitools.base.py import *
from googlecloudapis.sqladmin.v1beta3.sqladmin_v1beta3_client import *
from googlecloudapis.sqladmin.v1beta3.sqladmin_v1beta3_messages import *
__path__ = pkgutil.extend_path(__path__, __name__)
| 32.090909
| 72
| 0.835694
| 41
| 353
| 6.780488
| 0.536585
| 0.215827
| 0.179856
| 0.23741
| 0.395683
| 0.395683
| 0.395683
| 0
| 0
| 0
| 0
| 0.024768
| 0.084986
| 353
| 10
| 73
| 35.3
| 0.835913
| 0.240793
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.8
| 0
| 0.8
| 0
| 0
| 0
| 0
| null | 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
d9c3c9d3cf3dae5bc821e6c09098e26495ba10fd
| 20
|
py
|
Python
|
register.py
|
tao-sang/test
|
152c5bdf76af4ae148d8018132590afac3cdebda
|
[
"MIT"
] | null | null | null |
register.py
|
tao-sang/test
|
152c5bdf76af4ae148d8018132590afac3cdebda
|
[
"MIT"
] | null | null | null |
register.py
|
tao-sang/test
|
152c5bdf76af4ae148d8018132590afac3cdebda
|
[
"MIT"
] | null | null | null |
num = 100
num = 200
| 6.666667
| 9
| 0.6
| 4
| 20
| 3
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.428571
| 0.3
| 20
| 3
| 10
| 6.666667
| 0.428571
| 0
| 0
| 0
| 0
| 0
| 0
| 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
|
d9c9ee13d44f44d889c445b7737c4013ad81a8ea
| 107
|
py
|
Python
|
evm_trace/__init__.py
|
NotPeopling2day/evm-trace
|
f344d29af17bf565e0b740faf62933ba0d5bff66
|
[
"Apache-2.0"
] | null | null | null |
evm_trace/__init__.py
|
NotPeopling2day/evm-trace
|
f344d29af17bf565e0b740faf62933ba0d5bff66
|
[
"Apache-2.0"
] | null | null | null |
evm_trace/__init__.py
|
NotPeopling2day/evm-trace
|
f344d29af17bf565e0b740faf62933ba0d5bff66
|
[
"Apache-2.0"
] | null | null | null |
from .base import CallTreeNode, CallType, TraceFrame
__all__ = ["CallTreeNode", "CallType", "TraceFrame"]
| 26.75
| 52
| 0.757009
| 10
| 107
| 7.7
| 0.7
| 0.519481
| 0.779221
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.11215
| 107
| 3
| 53
| 35.666667
| 0.810526
| 0
| 0
| 0
| 0
| 0
| 0.280374
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
d9ccecd6dcd612a79203dc54e91832c7a341e260
| 1,007
|
py
|
Python
|
setup.py
|
DeflatedPickle/MenuMaker
|
05038896fdda78cfbc3b9d696bd19e2d1bff60ff
|
[
"MIT"
] | 4
|
2017-10-06T19:32:41.000Z
|
2018-02-26T13:02:21.000Z
|
setup.py
|
DeflatedPickle/menumaker
|
05038896fdda78cfbc3b9d696bd19e2d1bff60ff
|
[
"MIT"
] | 8
|
2017-10-06T18:58:59.000Z
|
2017-12-11T23:28:52.000Z
|
setup.py
|
DeflatedPickle/menumaker
|
05038896fdda78cfbc3b9d696bd19e2d1bff60ff
|
[
"MIT"
] | null | null | null |
from setuptools import setup
setup(name="menumaker",
version="1.4.1",
description="An easy solution for creating menus for TkInter applications in just a few lines.",
author="DeflatedPickle",
author_email="DeflatedPickle@gmail.com",
url="https://github.com/DeflatedPickle/MenuMaker",
license="MIT",
classifiers=[
"Intended Audience :: Developers",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 2.6",
"Programming Language :: Python :: 2.7",
"Programming Language :: Python :: 3.0",
"Programming Language :: Python :: 3.1",
"Programming Language :: Python :: 3.2",
"Programming Language :: Python :: 3.3",
"Programming Language :: Python :: 3.4",
"Programming Language :: Python :: 3.5",
"Programming Language :: Python :: 3.6",
],
keywords=["menumaker", "tkinter", "GUI", "menu"],
packages=["menumaker"])
| 40.28
| 102
| 0.586892
| 102
| 1,007
| 5.784314
| 0.509804
| 0.289831
| 0.381356
| 0.308475
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.028378
| 0.265144
| 1,007
| 24
| 103
| 41.958333
| 0.768919
| 0
| 0
| 0
| 0
| 0
| 0.608739
| 0.023833
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.043478
| 0
| 0.043478
| 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
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
d9ea1aef9f6ac544c65c9d689289689695e1edeb
| 3,151
|
py
|
Python
|
jumodjango/lib/bebop/model.py
|
jumoconnect/openjumo
|
828d993bfbb83777d10a68de6964c7d5bb2c7bd0
|
[
"MIT"
] | 5
|
2015-03-11T18:59:46.000Z
|
2018-08-17T17:49:45.000Z
|
jumodjango/lib/bebop/model.py
|
kmrifat/openjumo
|
828d993bfbb83777d10a68de6964c7d5bb2c7bd0
|
[
"MIT"
] | 2
|
2020-06-05T16:52:17.000Z
|
2021-02-08T20:24:26.000Z
|
jumodjango/lib/bebop/model.py
|
kmrifat/openjumo
|
828d993bfbb83777d10a68de6964c7d5bb2c7bd0
|
[
"MIT"
] | 6
|
2016-02-04T00:45:30.000Z
|
2021-07-07T17:14:50.000Z
|
'''
Created on Jan 21, 2011
@author: al
'''
from connection import *
from schema import *
from config import *
def SearchIndex(name, config=StandardSolrConfig, generate_schema=True):
def _Index(cls):
cls.__index__ = name
if not hasattr(cls, '_target') or cls._target is None:
raise Exception('Class "%s" must have attribute _target' % cls.__name__)
fields = filter(lambda attr: isinstance(getattr(cls,attr), Field), dir(cls))
cls._fields = fields
cls._models_to_solr = dict([(field, getattr(cls, field).name) for field in fields])
cls._solr_to_models = dict([(v,k) for k,v in cls._models_to_solr.iteritems()])
cls.schema=None
if generate_schema:
field_types=set()
schema_fields=[]
for attr in fields:
schema_fields.append(getattr(cls, attr))
field_types.add(getattr(cls,attr)._type)
cls.schema=SolrSchema(name=name,
fields=SolrSchemaFields(*schema_fields),
field_types=SolrFieldTypes(*field_types)
)
cls.config=config
return cls
return _Index
class SearchableModel(object):
_target = None
@classmethod
def _to_solr_doc(cls, obj):
return dict([(v, getattr(obj, k)) for k, v in cls._models_to_solr.iteritems()])
@classmethod
def _create_target(cls, doc):
return cls._target(**dict([(k, v) for k,v in cls._solr_to_models.iteritems()]))
class Field(SolrSchemaField):
def __init__(self, name, type, multi_valued=None, indexed=None, stored=None, model_attr=None):
super(Field, self).__init__(name=name, type=type)
self._type = type
if indexed is not None:
self.indexed = indexed
if stored is not None:
self.stored = stored
if multi_valued is not None:
self.multi_valued = multi_valued
if model_attr:
self._model_attr = model_attr
def _op(self, *components):
# TODO: probably need some serialization crap in here
components = [self.name,':'] + [unicode(component) for component in components]
return ''.join(components)
def __gt__(self, other):
return self._op('[',other,' TO *]')
def __lt__(self, other):
return self._op('[* TO ',other,']')
def __gte__(self, other):
return self.__gt__(self, other)
def __lte__(self, other):
return self.__lt__(other)
def __eq__(self, other):
return self._op(other)
def between(self, lower, upper):
return self._op('[', lower, ' TO ', upper, ']')
def exists(self):
return self._op('[* TO *]')
def and_(*args):
return '(' + ' AND '.join(args) + ')'
def or_(*args):
return '(' + ' OR '.join(args) + ')'
class DocumentId(Field):
def __init__(self, name, type, model_attr=None):
self.unique_key = UniqueKey(name)
return super(DocumentId, self).__init__(name, type, model_attr=model_attr)
| 32.822917
| 103
| 0.590924
| 381
| 3,151
| 4.593176
| 0.270341
| 0.036
| 0.042857
| 0.054286
| 0.105714
| 0.066286
| 0.036571
| 0.036571
| 0.036571
| 0.036571
| 0
| 0.002682
| 0.290067
| 3,151
| 96
| 104
| 32.822917
| 0.779616
| 0.028245
| 0
| 0.028169
| 1
| 0
| 0.028478
| 0
| 0
| 0
| 0
| 0.010417
| 0
| 1
| 0.225352
| false
| 0
| 0.042254
| 0.15493
| 0.535211
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
d9f06669960ef8b681ee04be0971b0a6430fbf83
| 508
|
py
|
Python
|
droxi/drox/omcdbase/relation1/models.py
|
andydude/droxtools
|
d608ceb715908fb00398c0d28eee74286fef3750
|
[
"MIT"
] | null | null | null |
droxi/drox/omcdbase/relation1/models.py
|
andydude/droxtools
|
d608ceb715908fb00398c0d28eee74286fef3750
|
[
"MIT"
] | null | null | null |
droxi/drox/omcdbase/relation1/models.py
|
andydude/droxtools
|
d608ceb715908fb00398c0d28eee74286fef3750
|
[
"MIT"
] | null | null | null |
'''
Created on Mar 31, 2014
@author: ajr
'''
from ..models import OMSym
@OMSym.called("relation1", "approx")
class Approx(OMSym):
pass
@OMSym.called("relation1", "eq")
class Eq(OMSym):
pass
@OMSym.called("relation1", "geq")
class Geq(OMSym):
pass
@OMSym.called("relation1", "gt")
class Gt(OMSym):
pass
@OMSym.called("relation1", "leq")
class Leq(OMSym):
pass
@OMSym.called("relation1", "lt")
class Lt(OMSym):
pass
@OMSym.called("relation1", "neq")
class Neq(OMSym):
pass
| 14.111111
| 36
| 0.645669
| 67
| 508
| 4.895522
| 0.328358
| 0.234756
| 0.426829
| 0.365854
| 0.530488
| 0
| 0
| 0
| 0
| 0
| 0
| 0.030733
| 0.167323
| 508
| 35
| 37
| 14.514286
| 0.744681
| 0.072835
| 0
| 0.318182
| 0
| 0
| 0.181425
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.318182
| 0.045455
| 0
| 0.363636
| 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
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
8a25470edc99a25db17254a644a7afebd348f331
| 48
|
py
|
Python
|
app-testing/src/resources/__init__.py
|
anuwrag/opentrons
|
28c8d76a19e367c6bd38f5290faaa32abf378715
|
[
"Apache-2.0"
] | 235
|
2017-10-27T20:37:27.000Z
|
2022-03-30T14:09:49.000Z
|
app-testing/src/resources/__init__.py
|
anuwrag/opentrons
|
28c8d76a19e367c6bd38f5290faaa32abf378715
|
[
"Apache-2.0"
] | 8,425
|
2017-10-26T15:25:43.000Z
|
2022-03-31T23:54:26.000Z
|
app-testing/src/resources/__init__.py
|
anuwrag/opentrons
|
28c8d76a19e367c6bd38f5290faaa32abf378715
|
[
"Apache-2.0"
] | 130
|
2017-11-09T21:02:37.000Z
|
2022-03-15T18:01:24.000Z
|
"""Definitions of resources needed in tests."""
| 24
| 47
| 0.729167
| 6
| 48
| 5.833333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.125
| 48
| 1
| 48
| 48
| 0.833333
| 0.854167
| 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
|
8a3f9237fb5944982dffae4cb1f1a1fddcb406fe
| 96
|
py
|
Python
|
py_src/ethers/providers/__init__.py
|
elyase/ethers-py
|
06d3162c23c68a42cef3f81b72ce8ae842be7a6b
|
[
"MIT"
] | null | null | null |
py_src/ethers/providers/__init__.py
|
elyase/ethers-py
|
06d3162c23c68a42cef3f81b72ce8ae842be7a6b
|
[
"MIT"
] | null | null | null |
py_src/ethers/providers/__init__.py
|
elyase/ethers-py
|
06d3162c23c68a42cef3f81b72ce8ae842be7a6b
|
[
"MIT"
] | null | null | null |
# Generated content DO NOT EDIT
from .. import providers
HTTPProvider = providers.HTTPProvider
| 19.2
| 37
| 0.802083
| 11
| 96
| 7
| 0.818182
| 0.545455
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.145833
| 96
| 4
| 38
| 24
| 0.939024
| 0.302083
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
8a4866b89c039cbf316507eab6f408cc3d6d5e71
| 14,928
|
py
|
Python
|
tests/test_defaults.py
|
StefanBrand/prometheus_flask_exporter
|
2b8c5fd42b721576a69bf29587d7b5fdc19a5fe6
|
[
"MIT"
] | null | null | null |
tests/test_defaults.py
|
StefanBrand/prometheus_flask_exporter
|
2b8c5fd42b721576a69bf29587d7b5fdc19a5fe6
|
[
"MIT"
] | null | null | null |
tests/test_defaults.py
|
StefanBrand/prometheus_flask_exporter
|
2b8c5fd42b721576a69bf29587d7b5fdc19a5fe6
|
[
"MIT"
] | null | null | null |
from unittest_helper import BaseTestCase
from prometheus_flask_exporter import NO_PREFIX
from flask import make_response
class DefaultsTest(BaseTestCase):
def test_simple(self):
metrics = self.metrics()
self.assertMetric(
'flask_exporter_info', '1.0',
('version', metrics.version)
)
@self.app.route('/test')
def test():
return 'OK'
self.client.get('/test')
self.client.get('/test')
self.assertMetric(
'flask_http_request_total', '2.0',
('method', 'GET'), ('status', 200)
)
self.assertMetric(
'flask_http_request_duration_seconds_count', '2.0',
('method', 'GET'), ('path', '/test'), ('status', 200)
)
self.assertAbsent(
'flask_http_request_duration_seconds_count',
('method', 'GET'), ('path', '/metrics'), ('status', 200)
)
self.assertMetric(
'flask_http_request_duration_seconds_bucket', '2.0',
('le', '0.1'), ('method', 'GET'), ('path', '/test'), ('status', 200)
)
self.assertMetric(
'flask_http_request_duration_seconds_bucket', '2.0',
('le', '0.5'), ('method', 'GET'), ('path', '/test'), ('status', 200)
)
self.assertMetric(
'flask_http_request_duration_seconds_bucket', '2.0',
('le', '1.0'), ('method', 'GET'), ('path', '/test'), ('status', 200)
)
self.assertMetric(
'flask_http_request_duration_seconds_bucket', '2.0',
('le', '5.0'), ('method', 'GET'), ('path', '/test'), ('status', 200)
)
self.assertMetric(
'flask_http_request_duration_seconds_bucket', '2.0',
('le', '+Inf'), ('method', 'GET'), ('path', '/test'), ('status', 200)
)
self.client.get('/test')
self.assertMetric(
'flask_http_request_total', '3.0',
('method', 'GET'), ('status', 200)
)
self.assertMetric(
'flask_http_request_duration_seconds_count', '3.0',
('method', 'GET'), ('path', '/test'), ('status', 200)
)
def test_response_object(self):
metrics = self.metrics()
@metrics.counter('success_invocation', 'Successful invocation')
def success():
return 200
@self.app.route('/test')
def test():
return make_response('OK', success())
self.client.get('/test')
self.client.get('/test')
self.assertMetric(
'flask_http_request_total', '2.0',
('method', 'GET'), ('status', 200)
)
self.assertMetric(
'flask_http_request_duration_seconds_count', '2.0',
('method', 'GET'), ('path', '/test'), ('status', 200)
)
self.assertMetric('success_invocation_total', '2.0')
def test_skip(self):
metrics = self.metrics()
@self.app.route('/skip')
@metrics.do_not_track()
def test():
return 'OK'
self.client.get('/skip')
self.client.get('/skip')
self.assertAbsent(
'flask_http_request_total',
('method', 'GET'), ('status', 200)
)
self.assertAbsent(
'flask_http_request_duration_seconds_count',
('method', 'GET'), ('path', '/skip'), ('status', 200)
)
def test_do_not_track_only_excludes_defaults(self):
metrics = self.metrics()
@self.app.route('/skip/defaults')
@metrics.counter('cnt_before', 'Counter before')
@metrics.do_not_track()
@metrics.counter('cnt_after', 'Counter after')
def test():
return 'OK'
self.client.get('/skip/defaults')
self.client.get('/skip/defaults')
self.assertAbsent(
'flask_http_request_total',
('method', 'GET'), ('status', 200)
)
self.assertAbsent(
'flask_http_request_duration_seconds_count',
('method', 'GET'), ('path', '/skip/defaults'), ('status', 200)
)
self.assertMetric('cnt_before_total', 2.0)
self.assertMetric('cnt_after_total', 2.0)
def test_exclude_all_wrapping(self):
metrics = self.metrics()
@self.app.route('/skip')
@metrics.gauge('gauge_before', 'Gauge before')
@metrics.counter('cnt_before', 'Counter before')
@metrics.exclude_all_metrics()
@metrics.counter('cnt_after', 'Counter after')
@metrics.gauge('gauge_after', 'Gauge after')
def test():
return 'OK'
self.client.get('/skip')
self.client.get('/skip')
self.assertAbsent(
'flask_http_request_total',
('method', 'GET'), ('status', 200)
)
self.assertMetric('cnt_before_total', 0.0)
self.assertMetric('cnt_after_total', 0.0)
self.assertMetric('gauge_before', 0.0)
self.assertMetric('gauge_after', 0.0)
def test_custom_path(self):
self.metrics(path='/my-metrics')
@self.app.route('/test')
def test():
return 'OK'
self.client.get('/test')
self.assertMetric(
'flask_http_request_total', '1.0',
('method', 'GET'), ('status', 200),
endpoint='/my-metrics'
)
self.assertMetric(
'flask_http_request_duration_seconds_count', '1.0',
('method', 'GET'), ('path', '/test'), ('status', 200),
endpoint='/my-metrics'
)
def test_no_default_export(self):
self.metrics(export_defaults=False)
@self.app.route('/test')
def test():
return 'OK'
self.client.get('/test')
self.assertAbsent(
'flask_http_request_total',
('method', 'GET'), ('status', 200),
endpoint='/metrics'
)
self.assertAbsent(
'flask_http_request_duration_seconds_count',
('method', 'GET'), ('path', '/test'), ('status', 200),
endpoint='/metrics'
)
def test_custom_defaults_prefix(self):
metrics = self.metrics(defaults_prefix='www')
self.assertAbsent(
'flask_exporter_info',
('version', metrics.version)
)
self.assertMetric(
'www_exporter_info', '1.0',
('version', metrics.version)
)
@self.app.route('/test')
def test():
return 'OK'
self.client.get('/test')
self.client.get('/test')
self.assertAbsent(
'flask_http_request_total',
('method', 'GET'), ('status', 200)
)
self.assertMetric(
'www_http_request_total', '2.0',
('method', 'GET'), ('status', 200)
)
self.assertMetric(
'www_http_request_duration_seconds_count', '2.0',
('method', 'GET'), ('path', '/test'), ('status', 200)
)
def test_no_defaults_prefix(self):
metrics = self.metrics(defaults_prefix=NO_PREFIX)
self.assertAbsent(
'flask_exporter_info',
('version', metrics.version)
)
self.assertMetric(
'exporter_info', '1.0',
('version', metrics.version)
)
@self.app.route('/test')
def test():
return 'OK'
self.client.get('/test')
self.client.get('/test')
self.client.get('/test')
self.assertAbsent(
'flask_http_request_total',
('method', 'GET'), ('status', 200)
)
self.assertMetric(
'http_request_total', '3.0',
('method', 'GET'), ('status', 200)
)
self.assertMetric(
'http_request_duration_seconds_count', '3.0',
('method', 'GET'), ('path', '/test'), ('status', 200)
)
def test_late_defaults_export(self):
metrics = self.metrics(export_defaults=False)
@self.app.route('/test')
def test():
return 'OK'
self.client.get('/test')
self.client.get('/test')
self.assertAbsent(
'flask_exporter_info',
('version', metrics.version)
)
self.assertAbsent(
'late_exporter_info',
('version', metrics.version)
)
self.assertAbsent(
'flask_http_request_total',
('method', 'GET'), ('status', 200)
)
self.assertAbsent(
'late_http_request_total',
('method', 'GET'), ('status', 200)
)
metrics.export_defaults(prefix='late')
self.assertMetric(
'late_exporter_info', '1.0',
('version', metrics.version)
)
self.client.get('/test')
self.client.get('/test')
self.client.get('/test')
self.assertMetric(
'late_http_request_total', '3.0',
('method', 'GET'), ('status', 200)
)
self.assertMetric(
'late_http_request_duration_seconds_count', '3.0',
('method', 'GET'), ('path', '/test'), ('status', 200)
)
def test_non_automatic_endpoint_registration(self):
metrics = self.metrics(path=None)
@self.app.route('/test')
def test():
return 'OK'
self.client.get('/test')
no_metrics_response = self.client.get('/metrics')
self.assertEqual(no_metrics_response.status_code, 404)
metrics.register_endpoint('/manual/metrics')
self.client.get('/test')
self.assertMetric(
'flask_http_request_total', '2.0',
('method', 'GET'), ('status', 200),
endpoint='/manual/metrics'
)
def test_custom_buckets(self):
self.metrics(buckets=(0.2, 2, 4))
@self.app.route('/test')
def test():
return 'OK'
self.client.get('/test')
self.client.get('/test')
self.assertMetric(
'flask_http_request_duration_seconds_bucket', '2.0',
('le', '0.2'), ('method', 'GET'), ('path', '/test'), ('status', 200)
)
self.assertMetric(
'flask_http_request_duration_seconds_bucket', '2.0',
('le', '2.0'), ('method', 'GET'), ('path', '/test'), ('status', 200)
)
self.assertMetric(
'flask_http_request_duration_seconds_bucket', '2.0',
('le', '4.0'), ('method', 'GET'), ('path', '/test'), ('status', 200)
)
self.assertMetric(
'flask_http_request_duration_seconds_bucket', '2.0',
('le', '+Inf'), ('method', 'GET'), ('path', '/test'), ('status', 200)
)
self.assertAbsent(
'flask_http_request_duration_seconds_bucket',
('le', '0.1'), ('method', 'GET'), ('path', '/test'), ('status', 200)
)
self.assertAbsent(
'flask_http_request_duration_seconds_bucket',
('le', '0.3'), ('method', 'GET'), ('path', '/test'), ('status', 200)
)
self.assertAbsent(
'flask_http_request_duration_seconds_bucket',
('le', '1.2'), ('method', 'GET'), ('path', '/test'), ('status', 200)
)
self.assertAbsent(
'flask_http_request_duration_seconds_bucket',
('le', '5.0'), ('method', 'GET'), ('path', '/test'), ('status', 200)
)
def test_invalid_labels(self):
metrics = self.metrics()
self.assertRaises(
TypeError, metrics.counter,
'invalid_counter', 'Counter with invalid labels',
labels=('name', 'value')
)
def test_info(self):
metrics = self.metrics()
metrics.info('info', 'Info', x=1, y=2)
self.assertMetric('info', '1.0', ('x', 1), ('y', 2))
sample = metrics.info(
'sample', 'Sample', ('key',), ('value',)
)
sample.set(5)
self.assertMetric('sample', '5.0', ('key', 'value'))
self.assertRaises(
ValueError, metrics.info, 'invalid', 'Invalid',
('both', 'names'), ('and', 'values'), are='defined'
)
metrics.info('no_labels', 'Without labels')
self.assertMetric('no_labels', '1.0')
def test_static_labels(self):
metrics = self.metrics(static_labels={
'app_name': 'Test-App',
'api_version': 1
})
@self.app.route('/test')
@metrics.counter('test_counter', 'Test Counter',
labels={'code': lambda r: r.status_code})
def test():
return 'OK'
self.client.get('/test')
self.client.get('/test')
self.assertMetric(
'flask_http_request_total', '2.0',
('method', 'GET'), ('status', 200),
('app_name', 'Test-App'), ('api_version', 1)
)
self.assertMetric(
'flask_http_request_duration_seconds_count', '2.0',
('method', 'GET'), ('path', '/test'), ('status', 200),
('app_name', 'Test-App'), ('api_version', 1)
)
self.assertMetric(
'test_counter_total', '2.0',
('code', 200),
('app_name', 'Test-App'), ('api_version', 1)
)
self.assertMetric(
'test_counter_created', '.',
('code', 200),
('app_name', 'Test-App'), ('api_version', 1)
)
self.assertMetric(
'flask_exporter_info', '',
('version', metrics.version),
('app_name', 'Test-App'), ('api_version', 1)
)
def test_static_labels_without_metric_labels(self):
metrics = self.metrics(static_labels={
'app_name': 'Test-App',
'api_version': 1
})
@self.app.route('/test')
@metrics.counter('test_counter', 'Test Counter')
def test():
return 'OK'
self.client.get('/test')
self.client.get('/test')
self.assertMetric(
'flask_http_request_total', '2.0',
('method', 'GET'), ('status', 200),
('app_name', 'Test-App'), ('api_version', 1)
)
self.assertMetric(
'flask_http_request_duration_seconds_count', '2.0',
('method', 'GET'), ('path', '/test'), ('status', 200),
('app_name', 'Test-App'), ('api_version', 1)
)
self.assertMetric(
'test_counter_total', '2.0',
('app_name', 'Test-App'), ('api_version', 1)
)
self.assertMetric(
'test_counter_created', '.',
('app_name', 'Test-App'), ('api_version', 1)
)
self.assertMetric(
'flask_exporter_info', '',
('version', metrics.version),
('app_name', 'Test-App'), ('api_version', 1)
)
| 30.157576
| 81
| 0.513666
| 1,495
| 14,928
| 4.910368
| 0.074247
| 0.104618
| 0.080643
| 0.092086
| 0.817464
| 0.785179
| 0.759161
| 0.721564
| 0.686691
| 0.656995
| 0
| 0.0269
| 0.31518
| 14,928
| 494
| 82
| 30.218623
| 0.691187
| 0
| 0
| 0.628713
| 0
| 0
| 0.276058
| 0.100348
| 0
| 0
| 0
| 0
| 0.175743
| 1
| 0.076733
| false
| 0
| 0.007426
| 0.037129
| 0.123762
| 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
|
8a9e0097cd2455da6c26d2fb7ec80bca1b000590
| 6,493
|
py
|
Python
|
tests/test_agent.py
|
SharifElfouly/Tic-Tac-Toe-Reinforcement-Learning
|
06b824d5622950fbcaa2f72dd0f24ccd064cf5d7
|
[
"MIT"
] | 3
|
2017-12-19T07:12:12.000Z
|
2019-09-15T23:47:10.000Z
|
tests/test_agent.py
|
SharifElfouly/Tic-Tac-Toe-Reinforcement-Learning
|
06b824d5622950fbcaa2f72dd0f24ccd064cf5d7
|
[
"MIT"
] | null | null | null |
tests/test_agent.py
|
SharifElfouly/Tic-Tac-Toe-Reinforcement-Learning
|
06b824d5622950fbcaa2f72dd0f24ccd064cf5d7
|
[
"MIT"
] | 1
|
2019-09-15T23:47:21.000Z
|
2019-09-15T23:47:21.000Z
|
import unittest
from training.agent import Agent
class TestAgent(unittest.TestCase):
def test_add_state(self):
state1 = [[0, 0, 0, 0, 0, 0, 0, 0, 0], [0.5]]
state2 = [[1, 0, 0, 0, 0, 0, 0, 0, 0], [0.75]]
state3 = [[0, 0, 0, 0, 0, 0, 0, 0, 0], [0.5]]
state4 = [[0, 0, 0, 0, 0, 0, 0, 0, 0], [0.8]]
state5 = [[0, 0, 0, 0, 0, -1, 0, 0, 0], [0.5]]
agent = Agent(1)
agent.add_state(state1)
agent.add_state(state2)
agent.add_state(state3)
agent.add_state(state4)
agent.add_state(state5)
self.assertEqual(len(agent.states), 5)
def test_next_states(self):
board = [1, 0, 0, 0, 0, -1, 0, 0, 0]
state1 = [[1, 0, 0, 1, 0, -1, 0, 0, 0], [0.5]]
state2 = [[1, 0, 0, 0, 0, 0, 0, 0, 0], [0.75]]
state3 = [[0, 0, 0, 0, 0, 0, 0, 0, 0], [0.5]]
state4 = [[1, 0, 0, 0, 0, -1, 0, 1, 0], [0.8]]
agent = Agent(1)
agent.add_state(state1)
agent.add_state(state2)
agent.add_state(state3)
agent.add_state(state4)
self.assertEqual(agent.next_states(board), [[[1, 0, 0, 1, 0, -1, 0, 0, 0], [0.5]],
[[1, 0, 0, 0, 0, -1, 0, 1, 0], [0.8]]])
board = [1, 0, 0, 1, 0, -1, 0, -1, 0]
state5 = [[1, 0, 0, 1, 0, -1, 0, 0, 0], [0.5]]
state6 = [[1, 0, 0, 0, 0, 0, 0, 0, 0], [0.75]]
state7 = [[0, 0, 0, 0, 0, 0, 0, 0, 0], [0.5]]
state8 = [[1, 0, 0, 0, 0, -1, 0, 1, 0], [0.8]]
state9 = [[1, 0, 1, 1, 0, -1, 0, -1, 0], [0.8]]
state10 = [[1, 0, -1, 1, 0, -1, 0, -1, 0], [0.8]]
state11 = [[1, 0, 0, 1, 0, -1, 0, -1, 1], [0.9]]
agent.add_state(state5)
agent.add_state(state6)
agent.add_state(state7)
agent.add_state(state8)
agent.add_state(state9)
agent.add_state(state10)
agent.add_state(state11)
self.assertEqual(agent.next_states(board), [[[1, 0, 1, 1, 0, -1, 0, -1, 0], [0.8]],
[[1, 0, 0, 1, 0, -1, 0, -1, 1], [0.9]]])
agent = Agent(-1)
board = [1, 1, 0, 1, 0, -1, 0, -1, 0]
state1 = [[1, 1, 0, 1, 0, -1, 0, -1, -1], [0.5]]
state2 = [[1, 1, 0, 1, 0, -1, 0, -1, 0], [0.75]]
agent.add_state(state1)
agent.add_state(state2)
self.assertEqual(agent.next_states(board), [[[1, 1, 0, 1, 0, -1, 0, -1, -1], [0.5]]])
agent = Agent(-1)
board = [1, 1, 0, 1, 0, -1, 0, -1, 0]
state1 = [[1, 1, 1, 1, 0, -1, 0, -1, -1], [0.5]]
state2 = [[1, 1, 0, 1, 0, -1, 1, -1, 0], [0.75]]
agent.add_state(state1)
agent.add_state(state2)
self.assertEqual(agent.next_states(board), [])
def test_greedy(self):
agent = Agent(1)
board = [1, 0, 0, 0, 0, -1, 0, 0, 0]
state1 = [[1, 0, 1, 0, 0, -1, 0, 0, 0], [0.5]]
state2 = [[1, 0, 0, 0, 1, -1, 0, 0, 0], [0.95]]
state3 = [[1, 1, 0, 0, 0, -1, 0, 0, 0], [0.5]]
state4 = [[1, 0, 0, 0, 0, -1, 0, 0, 1], [0.8]]
agent.add_state(state1)
agent.add_state(state2)
agent.add_state(state3)
agent.add_state(state4)
self.assertEqual(agent.greedy(board), [[1, 0, 0, 0, 1, -1, 0, 0, 0], [0.95]])
agent = Agent(-1)
board = [1, 0, 0, 0, 0, -1, 0, 1, 0]
state1 = [[1, 0, 0, 0, 0, -1, 0, 1, -1], [0.5]]
state2 = [[1, 0, 0, 0, 0, -1, 0, 1, 0], [0.95]]
state3 = [[1, 0, 0, -1, 0, -1, 0, 1, 0], [0.75]]
state4 = [[1, 0, 0, 0, 0, -1, 0, 1, 0], [0.8]]
agent.add_state(state1)
agent.add_state(state2)
agent.add_state(state3)
agent.add_state(state4)
self.assertEqual(agent.greedy(board), [[1, 0, 0, -1, 0, -1, 0, 1, 0], [0.75]])
agent = Agent(-1)
board = [1, 1, 0, 1, 0, -1, 0, -1, 0]
state1 = [[1, 1, 1, 1, 0, -1, 0, -1, -1], [0.5]]
state2 = [[1, 1, 0, 1, 0, -1, 1, -1, 0], [0.75]]
agent.add_state(state1)
agent.add_state(state2)
self.assertEqual(agent.greedy(board), [[], [0]])
# contains randomness
def test_backprop_state_value(self):
state1 = [[1, 1, 0, 1, 1, -1, -1, -1, 0], [0.5]]
state2 = [[1, 1, 0, 1, 1, -1, -1, -1, 0], [0.7]]
agent = Agent(1)
agent.add_state(state1)
agent.add_state(state2)
board = [1, 1, 0, 1, 0, -1, -1, -1, 0]
agent.turn(board)
self.assertEqual(agent.pre_state[1], [0.7])
self.assertEqual(agent.current_state[1], [0.7])
# not used
def test_update_state(self):
agent = Agent(1)
state1 = [[1, 0, 0, 1, 0, -1, 0, 0, 0], [0.5]]
state2 = [[1, 0, 0, 0, 0, 0, 0, 0, 0], [0.75]]
state3 = [[0, 0, 0, 0, 0, 0, 0, 0, 0], [0.5]]
state4 = [[1, 0, 0, 0, 0, -1, 0, 1, 0], [0.8]]
agent.add_state(state1)
agent.add_state(state2)
agent.add_state(state3)
agent.add_state(state4)
new_state_2 = [[1, 0, 0, 0, 0, 0, 0, 0, 0], [0.75]]
new_state_4 = [[1, 0, 0, 0, 0, -1, 0, 1, 0], [0.15]]
agent.update_state(new_state_2)
agent.update_state(new_state_4)
self.assertEqual(agent.states[1], new_state_2)
self.assertEqual(agent.states[3], new_state_4)
def test_is_state_in_states(self):
agent = Agent(1)
state1 = [[1, 0, 0, 1, 0, -1, 0, 0, 0], [0.5]]
state2 = [[1, 0, 0, 0, 0, 0, 0, 0, 0], [0.75]]
state3 = [[1, 0, 0, 1, 0, -1, 0, 0, 0], [0.5]]
state4 = [[1, 0, 0, 0, 0, -1, 0, 1, 0], [0.8]]
state5 = [[1, -1, 0, 0, 0, -1, 0, 1, 0], [0.8]]
agent.add_state(state1)
agent.add_state(state2)
agent.add_state(state3)
agent.add_state(state4)
self.assertEqual(agent.is_state_in_states(state3), True)
self.assertEqual(agent.is_state_in_states(state5), False)
# contains randomness
def test_turn(self):
agent = Agent(1)
board = [1, 0, 0, 1, 0, -1, 0, -1, 0]
state1 = [[1, 1, 0, 1, 0, -1, 0, -1, 0], [0.5]]
state2 = [[1, 1, 0, 1, 0, -1, 0, -1, 0], [0.75]]
state3 = [[1, 1, 0, 1, 0, -1, 0, -1, 0], [0.95]]
state4 = [[1, 1, 0, 1, 0, -1, 0, -1, 0], [0.8]]
agent.add_state(state1)
agent.add_state(state2)
agent.add_state(state3)
agent.add_state(state4)
self.assertEqual(agent.turn(board), [1, 1, 0, 1, 0, -1, 0, -1, 0])
| 30.919048
| 93
| 0.451255
| 1,122
| 6,493
| 2.535651
| 0.050802
| 0.159578
| 0.155009
| 0.146221
| 0.755009
| 0.727592
| 0.726889
| 0.702636
| 0.673814
| 0.659051
| 0
| 0.188157
| 0.326351
| 6,493
| 209
| 94
| 31.066986
| 0.462277
| 0.007393
| 0
| 0.539007
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.106383
| 1
| 0.049645
| false
| 0
| 0.014184
| 0
| 0.070922
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
0a1f435c8d9b28a3f2743ecb501279a00fc8f72c
| 6,578
|
py
|
Python
|
nimbleclient/v1/client.py
|
datamattsson/nimble-python-sdk
|
0d57d1de92e450332f483243140d29eeb18ad903
|
[
"Apache-2.0"
] | null | null | null |
nimbleclient/v1/client.py
|
datamattsson/nimble-python-sdk
|
0d57d1de92e450332f483243140d29eeb18ad903
|
[
"Apache-2.0"
] | null | null | null |
nimbleclient/v1/client.py
|
datamattsson/nimble-python-sdk
|
0d57d1de92e450332f483243140d29eeb18ad903
|
[
"Apache-2.0"
] | null | null | null |
#
# © Copyright 2020 Hewlett Packard Enterprise Development LP
#
# This file was auto-generated by the Python SDK generator; DO NOT EDIT.
#
from .restclient import NimOSAPIClient
from .api.versions import VersionList
from .api.application_categories import ApplicationCategoryList
from .api.chap_users import ChapUserList
from .api.master_key import MasterKeyList
from .api.alarms import AlarmList
from .api.volumes import VolumeList
from .api.shelves import ShelfList
from .api.key_managers import KeyManagerList
from .api.protection_templates import ProtectionTemplateList
from .api.folders import FolderList
from .api.tokens import TokenList
from .api.fibre_channel_interfaces import FibreChannelInterfaceList
from .api.network_interfaces import NetworkInterfaceList
from .api.arrays import ArrayList
from .api.fibre_channel_configs import FibreChannelConfigList
from .api.initiators import InitiatorList
from .api.performance_policies import PerformancePolicyList
from .api.space_domains import SpaceDomainList
from .api.snapshot_collections import SnapshotCollectionList
from .api.replication_partners import ReplicationPartnerList
from .api.events import EventList
from .api.snapshots import SnapshotList
from .api.application_servers import ApplicationServerList
from .api.user_policies import UserPolicyList
from .api.user_groups import UserGroupList
from .api.subnets import SubnetList
from .api.controllers import ControllerList
from .api.fibre_channel_sessions import FibreChannelSessionList
from .api.users import UserList
from .api.protection_schedules import ProtectionScheduleList
from .api.initiator_groups import InitiatorGroupList
from .api.access_control_records import AccessControlRecordList
from .api.active_directory_memberships import ActiveDirectoryMembershipList
from .api.fibre_channel_ports import FibreChannelPortList
from .api.protocol_endpoints import ProtocolEndpointList
from .api.witnesses import WitnessList
from .api.jobs import JobList
from .api.audit_log import AuditLogList
from .api.pools import PoolList
from .api.volume_collections import VolumeCollectionList
from .api.disks import DiskList
from .api.fibre_channel_initiator_aliases import FibreChannelInitiatorAliasList
from .api.groups import GroupList
from .api.software_versions import SoftwareVersionList
from .api.network_configs import NetworkConfigList
class Client:
def __init__(self, hostname, username, password, port=5392):
self._client = NimOSAPIClient(hostname, username, password, port)
@property
def versions(self):
return VersionList(self._client)
@property
def application_categories(self):
return ApplicationCategoryList(self._client)
@property
def chap_users(self):
return ChapUserList(self._client)
@property
def master_key(self):
return MasterKeyList(self._client)
@property
def alarms(self):
return AlarmList(self._client)
@property
def volumes(self):
return VolumeList(self._client)
@property
def shelves(self):
return ShelfList(self._client)
@property
def key_managers(self):
return KeyManagerList(self._client)
@property
def protection_templates(self):
return ProtectionTemplateList(self._client)
@property
def folders(self):
return FolderList(self._client)
@property
def tokens(self):
return TokenList(self._client)
@property
def fibre_channel_interfaces(self):
return FibreChannelInterfaceList(self._client)
@property
def network_interfaces(self):
return NetworkInterfaceList(self._client)
@property
def arrays(self):
return ArrayList(self._client)
@property
def fibre_channel_configs(self):
return FibreChannelConfigList(self._client)
@property
def initiators(self):
return InitiatorList(self._client)
@property
def performance_policies(self):
return PerformancePolicyList(self._client)
@property
def space_domains(self):
return SpaceDomainList(self._client)
@property
def snapshot_collections(self):
return SnapshotCollectionList(self._client)
@property
def replication_partners(self):
return ReplicationPartnerList(self._client)
@property
def events(self):
return EventList(self._client)
@property
def snapshots(self):
return SnapshotList(self._client)
@property
def application_servers(self):
return ApplicationServerList(self._client)
@property
def user_policies(self):
return UserPolicyList(self._client)
@property
def user_groups(self):
return UserGroupList(self._client)
@property
def subnets(self):
return SubnetList(self._client)
@property
def controllers(self):
return ControllerList(self._client)
@property
def fibre_channel_sessions(self):
return FibreChannelSessionList(self._client)
@property
def users(self):
return UserList(self._client)
@property
def protection_schedules(self):
return ProtectionScheduleList(self._client)
@property
def initiator_groups(self):
return InitiatorGroupList(self._client)
@property
def access_control_records(self):
return AccessControlRecordList(self._client)
@property
def active_directory_memberships(self):
return ActiveDirectoryMembershipList(self._client)
@property
def fibre_channel_ports(self):
return FibreChannelPortList(self._client)
@property
def protocol_endpoints(self):
return ProtocolEndpointList(self._client)
@property
def witnesses(self):
return WitnessList(self._client)
@property
def jobs(self):
return JobList(self._client)
@property
def audit_log(self):
return AuditLogList(self._client)
@property
def pools(self):
return PoolList(self._client)
@property
def volume_collections(self):
return VolumeCollectionList(self._client)
@property
def disks(self):
return DiskList(self._client)
@property
def fibre_channel_initiator_aliases(self):
return FibreChannelInitiatorAliasList(self._client)
@property
def groups(self):
return GroupList(self._client)
@property
def software_versions(self):
return SoftwareVersionList(self._client)
@property
def network_configs(self):
return NetworkConfigList(self._client)
| 27.755274
| 79
| 0.74734
| 697
| 6,578
| 6.882353
| 0.202296
| 0.095893
| 0.165103
| 0.19262
| 0.08276
| 0.034397
| 0
| 0
| 0
| 0
| 0
| 0.001496
| 0.187139
| 6,578
| 236
| 80
| 27.872881
| 0.895455
| 0.019915
| 0
| 0.244565
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0.01087
| 0.25
| 0.244565
| 0.75
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
0a328ff98106bbbaa1644a6c65e3564c33569899
| 301
|
py
|
Python
|
dbaas_credentials/admin/__init__.py
|
globocom/dbaas-credentials
|
0ddecadacbf98ee05917167006190a7b7613d219
|
[
"BSD-3-Clause"
] | 7
|
2015-05-23T20:27:32.000Z
|
2021-07-05T16:42:01.000Z
|
dbaas_credentials/admin/__init__.py
|
globocom/dbaas-credentials
|
0ddecadacbf98ee05917167006190a7b7613d219
|
[
"BSD-3-Clause"
] | 5
|
2017-09-03T23:54:01.000Z
|
2021-12-10T20:33:22.000Z
|
dbaas_credentials/admin/__init__.py
|
globocom/dbaas-credentials
|
0ddecadacbf98ee05917167006190a7b7613d219
|
[
"BSD-3-Clause"
] | 1
|
2016-09-12T07:38:29.000Z
|
2016-09-12T07:38:29.000Z
|
# -*- coding:utf-8 -*-
from django.contrib import admin
from .integration_credential import CredentialAdmin
from .integration_type import CredentialTypeAdmin
from .. import models
admin.site.register(models.CredentialType, CredentialTypeAdmin)
admin.site.register(models.Credential, CredentialAdmin)
| 33.444444
| 63
| 0.830565
| 33
| 301
| 7.515152
| 0.515152
| 0.120968
| 0.137097
| 0.185484
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.003623
| 0.083056
| 301
| 8
| 64
| 37.625
| 0.894928
| 0.066445
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
0a601452393abd3a20b12f43faf8e8a2150214b5
| 17,259
|
py
|
Python
|
tests/components/automation/test_init.py
|
gwendalg/home-assistant
|
fb94aaa5a1a1e125dafb681e50c18be45dfe1b19
|
[
"MIT"
] | 1
|
2017-02-12T18:44:18.000Z
|
2017-02-12T18:44:18.000Z
|
tests/components/automation/test_init.py
|
gwendalg/home-assistant
|
fb94aaa5a1a1e125dafb681e50c18be45dfe1b19
|
[
"MIT"
] | null | null | null |
tests/components/automation/test_init.py
|
gwendalg/home-assistant
|
fb94aaa5a1a1e125dafb681e50c18be45dfe1b19
|
[
"MIT"
] | null | null | null |
"""The tests for the automation component."""
import unittest
from unittest.mock import patch
from homeassistant.bootstrap import setup_component
import homeassistant.components.automation as automation
from homeassistant.const import ATTR_ENTITY_ID
from homeassistant.exceptions import HomeAssistantError
import homeassistant.util.dt as dt_util
from tests.common import get_test_home_assistant
class TestAutomation(unittest.TestCase):
"""Test the event automation."""
def setUp(self): # pylint: disable=invalid-name
"""Setup things to be run when tests are started."""
self.hass = get_test_home_assistant()
self.hass.config.components.append('group')
self.calls = []
def record_call(service):
self.calls.append(service)
self.hass.services.register('test', 'automation', record_call)
def tearDown(self): # pylint: disable=invalid-name
"""Stop everything that was started."""
self.hass.stop()
def test_service_data_not_a_dict(self):
"""Test service data not dict."""
assert not setup_component(self.hass, automation.DOMAIN, {
automation.DOMAIN: {
'trigger': {
'platform': 'event',
'event_type': 'test_event',
},
'action': {
'service': 'test.automation',
'data': 100,
}
}
})
def test_service_specify_data(self):
"""Test service data."""
assert setup_component(self.hass, automation.DOMAIN, {
automation.DOMAIN: {
'alias': 'hello',
'trigger': {
'platform': 'event',
'event_type': 'test_event',
},
'action': {
'service': 'test.automation',
'data_template': {
'some': '{{ trigger.platform }} - '
'{{ trigger.event.event_type }}'
},
}
}
})
time = dt_util.utcnow()
with patch('homeassistant.components.automation.utcnow',
return_value=time):
self.hass.bus.fire('test_event')
self.hass.block_till_done()
assert len(self.calls) == 1
assert 'event - test_event' == self.calls[0].data['some']
state = self.hass.states.get('automation.hello')
assert state is not None
assert state.attributes.get('last_triggered') == time
state = self.hass.states.get('group.all_automations')
assert state is not None
assert state.attributes.get('entity_id') == ('automation.hello',)
def test_service_specify_entity_id(self):
"""Test service data."""
assert setup_component(self.hass, automation.DOMAIN, {
automation.DOMAIN: {
'trigger': {
'platform': 'event',
'event_type': 'test_event',
},
'action': {
'service': 'test.automation',
'entity_id': 'hello.world'
}
}
})
self.hass.bus.fire('test_event')
self.hass.block_till_done()
self.assertEqual(1, len(self.calls))
self.assertEqual(['hello.world'],
self.calls[0].data.get(ATTR_ENTITY_ID))
def test_service_initial_value_off(self):
"""Test initial value off."""
entity_id = 'automation.hello'
assert setup_component(self.hass, automation.DOMAIN, {
automation.DOMAIN: {
'alias': 'hello',
'initial_state': 'off',
'trigger': {
'platform': 'event',
'event_type': 'test_event',
},
'action': {
'service': 'test.automation',
'entity_id': ['hello.world', 'hello.world2']
}
}
})
assert not automation.is_on(self.hass, entity_id)
def test_service_initial_value_on(self):
"""Test initial value on."""
entity_id = 'automation.hello'
assert setup_component(self.hass, automation.DOMAIN, {
automation.DOMAIN: {
'alias': 'hello',
'initial_state': 'on',
'trigger': {
'platform': 'event',
'event_type': 'test_event',
},
'action': {
'service': 'test.automation',
'entity_id': ['hello.world', 'hello.world2']
}
}
})
assert automation.is_on(self.hass, entity_id)
def test_service_specify_entity_id_list(self):
"""Test service data."""
assert setup_component(self.hass, automation.DOMAIN, {
automation.DOMAIN: {
'trigger': {
'platform': 'event',
'event_type': 'test_event',
},
'action': {
'service': 'test.automation',
'entity_id': ['hello.world', 'hello.world2']
}
}
})
self.hass.bus.fire('test_event')
self.hass.block_till_done()
self.assertEqual(1, len(self.calls))
self.assertEqual(['hello.world', 'hello.world2'],
self.calls[0].data.get(ATTR_ENTITY_ID))
def test_two_triggers(self):
"""Test triggers."""
assert setup_component(self.hass, automation.DOMAIN, {
automation.DOMAIN: {
'trigger': [
{
'platform': 'event',
'event_type': 'test_event',
},
{
'platform': 'state',
'entity_id': 'test.entity',
}
],
'action': {
'service': 'test.automation',
}
}
})
self.hass.bus.fire('test_event')
self.hass.block_till_done()
self.assertEqual(1, len(self.calls))
self.hass.states.set('test.entity', 'hello')
self.hass.block_till_done()
self.assertEqual(2, len(self.calls))
def test_trigger_service_ignoring_condition(self):
"""Test triggers."""
assert setup_component(self.hass, automation.DOMAIN, {
automation.DOMAIN: {
'trigger': [
{
'platform': 'event',
'event_type': 'test_event',
},
],
'condition': {
'condition': 'state',
'entity_id': 'non.existing',
'state': 'beer',
},
'action': {
'service': 'test.automation',
}
}
})
self.hass.bus.fire('test_event')
self.hass.block_till_done()
assert len(self.calls) == 0
self.hass.services.call('automation', 'trigger', blocking=True)
self.hass.block_till_done()
assert len(self.calls) == 1
def test_two_conditions_with_and(self):
"""Test two and conditions."""
entity_id = 'test.entity'
assert setup_component(self.hass, automation.DOMAIN, {
automation.DOMAIN: {
'trigger': [
{
'platform': 'event',
'event_type': 'test_event',
},
],
'condition': [
{
'condition': 'state',
'entity_id': entity_id,
'state': '100'
},
{
'condition': 'numeric_state',
'entity_id': entity_id,
'below': 150
}
],
'action': {
'service': 'test.automation',
}
}
})
self.hass.states.set(entity_id, 100)
self.hass.bus.fire('test_event')
self.hass.block_till_done()
self.assertEqual(1, len(self.calls))
self.hass.states.set(entity_id, 101)
self.hass.bus.fire('test_event')
self.hass.block_till_done()
self.assertEqual(1, len(self.calls))
self.hass.states.set(entity_id, 151)
self.hass.bus.fire('test_event')
self.hass.block_till_done()
self.assertEqual(1, len(self.calls))
def test_automation_list_setting(self):
"""Event is not a valid condition."""
self.assertTrue(setup_component(self.hass, automation.DOMAIN, {
automation.DOMAIN: [{
'trigger': {
'platform': 'event',
'event_type': 'test_event',
},
'action': {
'service': 'test.automation',
}
}, {
'trigger': {
'platform': 'event',
'event_type': 'test_event_2',
},
'action': {
'service': 'test.automation',
}
}]
}))
self.hass.bus.fire('test_event')
self.hass.block_till_done()
self.assertEqual(1, len(self.calls))
self.hass.bus.fire('test_event_2')
self.hass.block_till_done()
self.assertEqual(2, len(self.calls))
def test_automation_calling_two_actions(self):
"""Test if we can call two actions from automation definition."""
self.assertTrue(setup_component(self.hass, automation.DOMAIN, {
automation.DOMAIN: {
'trigger': {
'platform': 'event',
'event_type': 'test_event',
},
'action': [{
'service': 'test.automation',
'data': {'position': 0},
}, {
'service': 'test.automation',
'data': {'position': 1},
}],
}
}))
self.hass.bus.fire('test_event')
self.hass.block_till_done()
assert len(self.calls) == 2
assert self.calls[0].data['position'] == 0
assert self.calls[1].data['position'] == 1
def test_services(self):
"""Test the automation services for turning entities on/off."""
entity_id = 'automation.hello'
assert self.hass.states.get(entity_id) is None
assert not automation.is_on(self.hass, entity_id)
assert setup_component(self.hass, automation.DOMAIN, {
automation.DOMAIN: {
'alias': 'hello',
'trigger': {
'platform': 'event',
'event_type': 'test_event',
},
'action': {
'service': 'test.automation',
}
}
})
assert self.hass.states.get(entity_id) is not None
assert automation.is_on(self.hass, entity_id)
self.hass.bus.fire('test_event')
self.hass.block_till_done()
assert len(self.calls) == 1
automation.turn_off(self.hass, entity_id)
self.hass.block_till_done()
assert not automation.is_on(self.hass, entity_id)
self.hass.bus.fire('test_event')
self.hass.block_till_done()
assert len(self.calls) == 1
automation.toggle(self.hass, entity_id)
self.hass.block_till_done()
assert automation.is_on(self.hass, entity_id)
self.hass.bus.fire('test_event')
self.hass.block_till_done()
assert len(self.calls) == 2
automation.trigger(self.hass, entity_id)
self.hass.block_till_done()
assert len(self.calls) == 3
automation.turn_off(self.hass, entity_id)
self.hass.block_till_done()
automation.trigger(self.hass, entity_id)
self.hass.block_till_done()
assert len(self.calls) == 4
automation.turn_on(self.hass, entity_id)
self.hass.block_till_done()
assert automation.is_on(self.hass, entity_id)
@patch('homeassistant.config.load_yaml_config_file', return_value={
automation.DOMAIN: {
'alias': 'bye',
'trigger': {
'platform': 'event',
'event_type': 'test_event2',
},
'action': {
'service': 'test.automation',
'data_template': {
'event': '{{ trigger.event.event_type }}'
}
}
}
})
def test_reload_config_service(self, mock_load_yaml):
"""Test the reload config service."""
assert setup_component(self.hass, automation.DOMAIN, {
automation.DOMAIN: {
'alias': 'hello',
'trigger': {
'platform': 'event',
'event_type': 'test_event',
},
'action': {
'service': 'test.automation',
'data_template': {
'event': '{{ trigger.event.event_type }}'
}
}
}
})
assert self.hass.states.get('automation.hello') is not None
assert self.hass.states.get('automation.bye') is None
listeners = self.hass.bus.listeners
assert listeners.get('test_event') == 1
assert listeners.get('test_event2') is None
self.hass.bus.fire('test_event')
self.hass.block_till_done()
assert len(self.calls) == 1
assert self.calls[0].data.get('event') == 'test_event'
automation.reload(self.hass)
self.hass.block_till_done()
# De-flake ?!
self.hass.block_till_done()
assert self.hass.states.get('automation.hello') is None
assert self.hass.states.get('automation.bye') is not None
listeners = self.hass.bus.listeners
assert listeners.get('test_event') is None
assert listeners.get('test_event2') == 1
self.hass.bus.fire('test_event')
self.hass.block_till_done()
assert len(self.calls) == 1
self.hass.bus.fire('test_event2')
self.hass.block_till_done()
assert len(self.calls) == 2
assert self.calls[1].data.get('event') == 'test_event2'
@patch('homeassistant.config.load_yaml_config_file', return_value={
automation.DOMAIN: 'not valid',
})
def test_reload_config_when_invalid_config(self, mock_load_yaml):
"""Test the reload config service handling invalid config."""
assert setup_component(self.hass, automation.DOMAIN, {
automation.DOMAIN: {
'alias': 'hello',
'trigger': {
'platform': 'event',
'event_type': 'test_event',
},
'action': {
'service': 'test.automation',
'data_template': {
'event': '{{ trigger.event.event_type }}'
}
}
}
})
assert self.hass.states.get('automation.hello') is not None
self.hass.bus.fire('test_event')
self.hass.block_till_done()
assert len(self.calls) == 1
assert self.calls[0].data.get('event') == 'test_event'
automation.reload(self.hass)
self.hass.block_till_done()
assert self.hass.states.get('automation.hello') is not None
self.hass.bus.fire('test_event')
self.hass.block_till_done()
assert len(self.calls) == 2
def test_reload_config_handles_load_fails(self):
"""Test the reload config service."""
assert setup_component(self.hass, automation.DOMAIN, {
automation.DOMAIN: {
'alias': 'hello',
'trigger': {
'platform': 'event',
'event_type': 'test_event',
},
'action': {
'service': 'test.automation',
'data_template': {
'event': '{{ trigger.event.event_type }}'
}
}
}
})
assert self.hass.states.get('automation.hello') is not None
self.hass.bus.fire('test_event')
self.hass.block_till_done()
assert len(self.calls) == 1
assert self.calls[0].data.get('event') == 'test_event'
with patch('homeassistant.config.load_yaml_config_file',
side_effect=HomeAssistantError('bla')):
automation.reload(self.hass)
self.hass.block_till_done()
assert self.hass.states.get('automation.hello') is not None
self.hass.bus.fire('test_event')
self.hass.block_till_done()
assert len(self.calls) == 2
| 33.577821
| 73
| 0.497827
| 1,649
| 17,259
| 5.031534
| 0.09339
| 0.104134
| 0.051705
| 0.067615
| 0.792214
| 0.762083
| 0.73171
| 0.718091
| 0.710136
| 0.677474
| 0
| 0.006426
| 0.377832
| 17,259
| 513
| 74
| 33.643275
| 0.766251
| 0.03911
| 0
| 0.625
| 0
| 0
| 0.166141
| 0.018743
| 0
| 0
| 0
| 0
| 0.174528
| 1
| 0.042453
| false
| 0
| 0.018868
| 0
| 0.063679
| 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
|
6a4ff4e921a7092acf678b87aa309a02845e7f8c
| 118
|
py
|
Python
|
webapps/experimental/fastapi-example/app/dependencies.py
|
mandarup/lab140
|
fe235e8068793b74b7c5ca5d129dad09485dc5d3
|
[
"MIT"
] | null | null | null |
webapps/experimental/fastapi-example/app/dependencies.py
|
mandarup/lab140
|
fe235e8068793b74b7c5ca5d129dad09485dc5d3
|
[
"MIT"
] | 4
|
2021-06-02T00:31:05.000Z
|
2022-03-12T00:03:01.000Z
|
webapps/experimental/fastapi-example/app/dependencies.py
|
mandarup/lab140
|
fe235e8068793b74b7c5ca5d129dad09485dc5d3
|
[
"MIT"
] | null | null | null |
from starlette.requests import Request
# Dependency
async def get_db(request: Request):
return request.state.db
| 16.857143
| 38
| 0.779661
| 16
| 118
| 5.6875
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.152542
| 118
| 6
| 39
| 19.666667
| 0.91
| 0.084746
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
6a6b61c835220061fb1972c4cd894e71548590c1
| 67
|
py
|
Python
|
scripts/test/test/__init__.py
|
cedar101/quepy-ko
|
532744e50d9754befeea2eff6a261fa9cd095473
|
[
"BSD-3-Clause"
] | null | null | null |
scripts/test/test/__init__.py
|
cedar101/quepy-ko
|
532744e50d9754befeea2eff6a261fa9cd095473
|
[
"BSD-3-Clause"
] | null | null | null |
scripts/test/test/__init__.py
|
cedar101/quepy-ko
|
532744e50d9754befeea2eff6a261fa9cd095473
|
[
"BSD-3-Clause"
] | null | null | null |
# coding: utf-8
"""
Init for test quepy.
"""
from basic import *
| 8.375
| 20
| 0.61194
| 10
| 67
| 4.1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.019231
| 0.223881
| 67
| 7
| 21
| 9.571429
| 0.769231
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| true
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| null | 0
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| 0
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| 1
| 0
| 1
| 0
|
0
| 5
|
6adee711283eb350b34e3371779770e0ada8e606
| 6,765
|
py
|
Python
|
test/test_snc_api_fields.py
|
ServiceNow/PySNC
|
4be8fa19e1a15fa2d0cc1b1e5d4c96ed4857b735
|
[
"MIT"
] | 22
|
2020-10-22T23:44:50.000Z
|
2022-03-26T11:21:39.000Z
|
test/test_snc_api_fields.py
|
vetsin/PySNC
|
c44558ad0ca118861183d304369600d7fb5e45f3
|
[
"MIT"
] | 15
|
2020-11-09T23:27:05.000Z
|
2021-05-20T02:47:55.000Z
|
test/test_snc_api_fields.py
|
vetsin/PySNC
|
c44558ad0ca118861183d304369600d7fb5e45f3
|
[
"MIT"
] | 9
|
2020-10-23T01:58:13.000Z
|
2022-03-22T22:32:03.000Z
|
from unittest import TestCase
from pysnc import ServiceNowClient
from constants import Constants
class TestRecordFields(TestCase):
c = Constants()
def test_field_limit(self):
client = ServiceNowClient(self.c.server, self.c.credentials)
gr = client.GlideRecord('sys_user')
gr.fields = 'sys_id,name'
r = gr.get('6816f79cc0a8016401c5a33be04be441')
print(gr.serialize())
self.assertEqual(r, True)
sobj = gr.serialize()
self.assertTrue('sys_id' in sobj)
self.assertFalse('sys_created_on' in sobj)
client.session.close()
def test_field_limit_query(self):
client = ServiceNowClient(self.c.server, self.c.credentials)
gr = client.GlideRecord('sys_user')
gr.limit = 1
gr.fields = 'sys_id,name'
gr.query()
gr.next()
print(gr.serialize())
sobj = gr.serialize()
self.assertTrue('sys_id' in sobj)
self.assertFalse('sys_created_on' in sobj)
client.session.close()
def test_field_bool(self):
client = ServiceNowClient(self.c.server, self.c.credentials)
gr = client.GlideRecord('sys_user')
gr.fields = 'sys_id,active'
gr.get('6816f79cc0a8016401c5a33be04be441')
print(gr.serialize())
self.assertEqual(gr.active, 'true')
client.session.close()
def test_field_access(self):
client = ServiceNowClient(self.c.server, self.c.credentials)
gr = client.GlideRecord('sys_user')
gr.fields = 'sys_id,name'
gr.get('6816f79cc0a8016401c5a33be04be441')
print(gr.serialize())
name = 'System Administrator'
self.assertEqual(gr.name, name)
self.assertEqual(gr.get_value('name'), name)
self.assertEqual(gr.get_display_value('name'), name)
client.session.close()
def test_field_contains(self):
client = ServiceNowClient(self.c.server, self.c.credentials)
gr = client.GlideRecord('sys_user')
gr.fields = 'sys_id,name'
gr.get('6816f79cc0a8016401c5a33be04be441')
print(gr.serialize())
self.assertTrue('name' in gr)
self.assertFalse('whatever' in gr)
client.session.close()
def test_field_set(self):
client = ServiceNowClient(self.c.server, self.c.credentials)
gr = client.GlideRecord('sys_user')
gr.fields = 'sys_id,name'
gr.get('6816f79cc0a8016401c5a33be04be441')
print(gr.serialize())
name = 'System Administrator'
self.assertEqual(gr.name, name)
gr.name = 'Whatever'
self.assertEqual(gr.name, 'Whatever')
gr.set_value('name', 'Test')
self.assertEqual(gr.name, 'Test')
self.assertEqual(gr.get_value('name'), 'Test')
client.session.close()
def test_field_set_init(self):
client = ServiceNowClient(self.c.server, self.c.credentials)
gr = client.GlideRecord('sys_user')
gr.initialize()
name = 'System Administrator'
gr.name = name
self.assertEqual(gr.name, name)
gr.set_value('name', 'Test')
self.assertEqual(gr.name, 'Test')
self.assertEqual(gr.get_value('name'), 'Test')
client.session.close()
def test_fields(self):
client = ServiceNowClient(self.c.server, self.c.credentials)
gr = client.GlideRecord('sys_user')
gr.fields = ['sys_id']
gr.limit = 4
gr.query()
count = 0
while gr.next():
count = count + 1
assert len(gr._current().keys()) == 1
self.assertEqual(count, 4)
client.session.close()
def test_field_getter(self):
client = ServiceNowClient(self.c.server, self.c.credentials)
gr = client.GlideRecord('sys_user')
gr.fields = ['sys_id']
self.assertEqual(gr.fields, ['sys_id'])
client.session.close()
def test_field_all(self):
client = ServiceNowClient(self.c.server, self.c.credentials)
gr = client.GlideRecord('sys_user')
self.assertIsNone(gr.fields)
gr.query()
self.assertIsNotNone(gr.fields)
client.session.close()
def test_field_getter_query(self):
client = ServiceNowClient(self.c.server, self.c.credentials)
gr = client.GlideRecord('sys_user')
self.assertEqual(gr.fields, None)
gr.limit = 1
gr.query()
self.assertIsNotNone(gr.fields)
self.assertGreater(len(gr.fields), 10)
gr.next()
print(gr.fields)
self.assertGreater(len(gr.fields), 10)
client.session.close()
def test_attrs(self):
client = ServiceNowClient(self.c.server, self.c.credentials)
gr = client.GlideRecord('sys_user')
r = gr.get('6816f79cc0a8016401c5a33be04be441')
self.assertEqual(r, True)
self.assertEqual(gr.sys_id, '6816f79cc0a8016401c5a33be04be441')
self.assertEqual(gr.get_value('sys_id'), '6816f79cc0a8016401c5a33be04be441')
self.assertEqual(gr.get_display_value('user_password'), '********')
client.session.close()
def test_attrs_nil(self):
client = ServiceNowClient(self.c.server, self.c.credentials)
gr = client.GlideRecord('sys_user')
r = gr.get('6816f79cc0a8016401c5a33be04be441')
self.assertEqual(r, True)
self.assertIsNotNone(gr.get_element('sys_id'))
self.assertIsNone(gr.get_element('asdf'))
self.assertEqual(gr.get_element('sys_id').nil(), False)
gr.sys_id = ''
self.assertEqual(gr.get_element('sys_id').nil(), True)
client.session.close()
def test_attrs_changes(self):
client = ServiceNowClient(self.c.server, self.c.credentials)
gr = client.GlideRecord('sys_user')
r = gr.get('6816f79cc0a8016401c5a33be04be441')
self.assertEqual(r, True)
self.assertIsNotNone(gr.get_element('sys_id'))
self.assertIsNone(gr.get_element('asdf'))
self.assertEqual(gr.get_element('sys_id').changes(), False)
gr.sys_id = '1234'
self.assertEqual(gr.get_element('sys_id').changes(), True)
client.session.close()
def test_attrs_changes(self):
client = ServiceNowClient(self.c.server, self.c.credentials)
gr = client.GlideRecord('sys_user')
gr.initialize()
self.assertTrue(gr.is_new_record())
self.assertIsNone(gr.get_element('sys_id'))
gr.sys_id = 'zzzz'
# i am not considering a state of nothing to something a change, merely the start of existence
self.assertEqual(gr.get_element('sys_id').changes(), False)
gr.sys_id = '1234'
self.assertEqual(gr.get_element('sys_id').changes(), True)
client.session.close()
| 36.370968
| 102
| 0.632816
| 792
| 6,765
| 5.277778
| 0.122475
| 0.035885
| 0.089474
| 0.107656
| 0.843301
| 0.828947
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| 0
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| 6,765
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| 36.567568
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| 0.09375
| false
| 0.00625
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| null | 0
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| 0
| 0
| 0
| 0
|
0
| 5
|
6ae4ecb2d916c8dfba2415d54ea44254c0564119
| 209
|
py
|
Python
|
src/auth_session.py
|
galiarmero/yahoo-login
|
3415c1c00efc37af87b203b5576435dd823059db
|
[
"MIT"
] | 5
|
2019-04-11T13:30:35.000Z
|
2021-11-28T17:05:54.000Z
|
src/auth_session.py
|
galiarmero/yahoo-login
|
3415c1c00efc37af87b203b5576435dd823059db
|
[
"MIT"
] | null | null | null |
src/auth_session.py
|
galiarmero/yahoo-login
|
3415c1c00efc37af87b203b5576435dd823059db
|
[
"MIT"
] | null | null | null |
class AuthSession(object):
def __init__(self, session):
self._session = session
def __enter__(self):
return self._session
def __exit__(self, *args):
self._session.close()
| 20.9
| 32
| 0.636364
| 23
| 209
| 5.130435
| 0.521739
| 0.372881
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.258373
| 209
| 10
| 33
| 20.9
| 0.76129
| 0
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| 0
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| 0
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| 0
| 1
| 0.428571
| false
| 0
| 0
| 0.142857
| 0.714286
| 0
| 1
| 0
| 0
| null | 1
| 0
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| 0
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| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
7c28a72a883e1bed11a0bd7f4f5101284397f670
| 15,327
|
py
|
Python
|
tests/components/group/test_light.py
|
alindeman/home-assistant
|
b274b10f3874c196f0db8f9cfa5f47eb756d1f8e
|
[
"Apache-2.0"
] | 4
|
2019-07-03T22:36:57.000Z
|
2019-08-10T15:33:25.000Z
|
tests/components/group/test_light.py
|
alindeman/home-assistant
|
b274b10f3874c196f0db8f9cfa5f47eb756d1f8e
|
[
"Apache-2.0"
] | 7
|
2019-08-23T05:26:02.000Z
|
2022-03-11T23:57:18.000Z
|
tests/components/group/test_light.py
|
alindeman/home-assistant
|
b274b10f3874c196f0db8f9cfa5f47eb756d1f8e
|
[
"Apache-2.0"
] | 3
|
2019-04-28T16:35:45.000Z
|
2020-05-28T15:21:59.000Z
|
"""The tests for the Group Light platform."""
from unittest.mock import MagicMock
import asynctest
import homeassistant.components.group.light as group
from homeassistant.setup import async_setup_component
from tests.components.light import common
async def test_default_state(hass):
"""Test light group default state."""
await async_setup_component(hass, 'light', {'light': {
'platform': 'group', 'entities': [], 'name': 'Bedroom Group'
}})
await hass.async_block_till_done()
state = hass.states.get('light.bedroom_group')
assert state is not None
assert state.state == 'unavailable'
assert state.attributes['supported_features'] == 0
assert state.attributes.get('brightness') is None
assert state.attributes.get('hs_color') is None
assert state.attributes.get('color_temp') is None
assert state.attributes.get('white_value') is None
assert state.attributes.get('effect_list') is None
assert state.attributes.get('effect') is None
async def test_state_reporting(hass):
"""Test the state reporting."""
await async_setup_component(hass, 'light', {'light': {
'platform': 'group', 'entities': ['light.test1', 'light.test2']
}})
hass.states.async_set('light.test1', 'on')
hass.states.async_set('light.test2', 'unavailable')
await hass.async_block_till_done()
assert hass.states.get('light.light_group').state == 'on'
hass.states.async_set('light.test1', 'on')
hass.states.async_set('light.test2', 'off')
await hass.async_block_till_done()
assert hass.states.get('light.light_group').state == 'on'
hass.states.async_set('light.test1', 'off')
hass.states.async_set('light.test2', 'off')
await hass.async_block_till_done()
assert hass.states.get('light.light_group').state == 'off'
hass.states.async_set('light.test1', 'unavailable')
hass.states.async_set('light.test2', 'unavailable')
await hass.async_block_till_done()
assert hass.states.get('light.light_group').state == 'unavailable'
async def test_brightness(hass):
"""Test brightness reporting."""
await async_setup_component(hass, 'light', {'light': {
'platform': 'group', 'entities': ['light.test1', 'light.test2']
}})
hass.states.async_set('light.test1', 'on',
{'brightness': 255, 'supported_features': 1})
await hass.async_block_till_done()
state = hass.states.get('light.light_group')
assert state.state == 'on'
assert state.attributes['supported_features'] == 1
assert state.attributes['brightness'] == 255
hass.states.async_set('light.test2', 'on',
{'brightness': 100, 'supported_features': 1})
await hass.async_block_till_done()
state = hass.states.get('light.light_group')
assert state.state == 'on'
assert state.attributes['brightness'] == 177
hass.states.async_set('light.test1', 'off',
{'brightness': 255, 'supported_features': 1})
await hass.async_block_till_done()
state = hass.states.get('light.light_group')
assert state.state == 'on'
assert state.attributes['supported_features'] == 1
assert state.attributes['brightness'] == 100
async def test_color(hass):
"""Test RGB reporting."""
await async_setup_component(hass, 'light', {'light': {
'platform': 'group', 'entities': ['light.test1', 'light.test2']
}})
hass.states.async_set('light.test1', 'on',
{'hs_color': (0, 100), 'supported_features': 16})
await hass.async_block_till_done()
state = hass.states.get('light.light_group')
assert state.state == 'on'
assert state.attributes['supported_features'] == 16
assert state.attributes['hs_color'] == (0, 100)
hass.states.async_set('light.test2', 'on',
{'hs_color': (0, 50),
'supported_features': 16})
await hass.async_block_till_done()
state = hass.states.get('light.light_group')
assert state.attributes['hs_color'] == (0, 75)
hass.states.async_set('light.test1', 'off',
{'hs_color': (0, 0), 'supported_features': 16})
await hass.async_block_till_done()
state = hass.states.get('light.light_group')
assert state.attributes['hs_color'] == (0, 50)
async def test_white_value(hass):
"""Test white value reporting."""
await async_setup_component(hass, 'light', {'light': {
'platform': 'group', 'entities': ['light.test1', 'light.test2']
}})
hass.states.async_set('light.test1', 'on',
{'white_value': 255, 'supported_features': 128})
await hass.async_block_till_done()
state = hass.states.get('light.light_group')
assert state.attributes['white_value'] == 255
hass.states.async_set('light.test2', 'on',
{'white_value': 100, 'supported_features': 128})
await hass.async_block_till_done()
state = hass.states.get('light.light_group')
assert state.attributes['white_value'] == 177
hass.states.async_set('light.test1', 'off',
{'white_value': 255, 'supported_features': 128})
await hass.async_block_till_done()
state = hass.states.get('light.light_group')
assert state.attributes['white_value'] == 100
async def test_color_temp(hass):
"""Test color temp reporting."""
await async_setup_component(hass, 'light', {'light': {
'platform': 'group', 'entities': ['light.test1', 'light.test2']
}})
hass.states.async_set('light.test1', 'on',
{'color_temp': 2, 'supported_features': 2})
await hass.async_block_till_done()
state = hass.states.get('light.light_group')
assert state.attributes['color_temp'] == 2
hass.states.async_set('light.test2', 'on',
{'color_temp': 1000, 'supported_features': 2})
await hass.async_block_till_done()
state = hass.states.get('light.light_group')
assert state.attributes['color_temp'] == 501
hass.states.async_set('light.test1', 'off',
{'color_temp': 2, 'supported_features': 2})
await hass.async_block_till_done()
state = hass.states.get('light.light_group')
assert state.attributes['color_temp'] == 1000
async def test_min_max_mireds(hass):
"""Test min/max mireds reporting."""
await async_setup_component(hass, 'light', {'light': {
'platform': 'group', 'entities': ['light.test1', 'light.test2']
}})
hass.states.async_set('light.test1', 'on',
{'min_mireds': 2, 'max_mireds': 5,
'supported_features': 2})
await hass.async_block_till_done()
state = hass.states.get('light.light_group')
assert state.attributes['min_mireds'] == 2
assert state.attributes['max_mireds'] == 5
hass.states.async_set('light.test2', 'on',
{'min_mireds': 7, 'max_mireds': 1234567890,
'supported_features': 2})
await hass.async_block_till_done()
state = hass.states.get('light.light_group')
assert state.attributes['min_mireds'] == 2
assert state.attributes['max_mireds'] == 1234567890
hass.states.async_set('light.test1', 'off',
{'min_mireds': 1, 'max_mireds': 2,
'supported_features': 2})
await hass.async_block_till_done()
state = hass.states.get('light.light_group')
assert state.attributes['min_mireds'] == 1
assert state.attributes['max_mireds'] == 1234567890
async def test_effect_list(hass):
"""Test effect_list reporting."""
await async_setup_component(hass, 'light', {'light': {
'platform': 'group', 'entities': ['light.test1', 'light.test2']
}})
hass.states.async_set('light.test1', 'on',
{'effect_list': ['None', 'Random', 'Colorloop'],
'supported_features': 4})
await hass.async_block_till_done()
state = hass.states.get('light.light_group')
assert set(state.attributes['effect_list']) == {
'None', 'Random', 'Colorloop'}
hass.states.async_set('light.test2', 'on',
{'effect_list': ['None', 'Random', 'Rainbow'],
'supported_features': 4})
await hass.async_block_till_done()
state = hass.states.get('light.light_group')
assert set(state.attributes['effect_list']) == {
'None', 'Random', 'Colorloop', 'Rainbow'}
hass.states.async_set('light.test1', 'off',
{'effect_list': ['None', 'Colorloop', 'Seven'],
'supported_features': 4})
await hass.async_block_till_done()
state = hass.states.get('light.light_group')
assert set(state.attributes['effect_list']) == {
'None', 'Random', 'Colorloop', 'Seven', 'Rainbow'}
async def test_effect(hass):
"""Test effect reporting."""
await async_setup_component(hass, 'light', {'light': {
'platform': 'group', 'entities': ['light.test1', 'light.test2',
'light.test3']
}})
hass.states.async_set('light.test1', 'on',
{'effect': 'None', 'supported_features': 6})
await hass.async_block_till_done()
state = hass.states.get('light.light_group')
assert state.attributes['effect'] == 'None'
hass.states.async_set('light.test2', 'on',
{'effect': 'None', 'supported_features': 6})
await hass.async_block_till_done()
state = hass.states.get('light.light_group')
assert state.attributes['effect'] == 'None'
hass.states.async_set('light.test3', 'on',
{'effect': 'Random', 'supported_features': 6})
await hass.async_block_till_done()
state = hass.states.get('light.light_group')
assert state.attributes['effect'] == 'None'
hass.states.async_set('light.test1', 'off',
{'effect': 'None', 'supported_features': 6})
hass.states.async_set('light.test2', 'off',
{'effect': 'None', 'supported_features': 6})
await hass.async_block_till_done()
state = hass.states.get('light.light_group')
assert state.attributes['effect'] == 'Random'
async def test_supported_features(hass):
"""Test supported features reporting."""
await async_setup_component(hass, 'light', {'light': {
'platform': 'group', 'entities': ['light.test1', 'light.test2']
}})
hass.states.async_set('light.test1', 'on',
{'supported_features': 0})
await hass.async_block_till_done()
state = hass.states.get('light.light_group')
assert state.attributes['supported_features'] == 0
hass.states.async_set('light.test2', 'on',
{'supported_features': 2})
await hass.async_block_till_done()
state = hass.states.get('light.light_group')
assert state.attributes['supported_features'] == 2
hass.states.async_set('light.test1', 'off',
{'supported_features': 41})
await hass.async_block_till_done()
state = hass.states.get('light.light_group')
assert state.attributes['supported_features'] == 43
hass.states.async_set('light.test2', 'off',
{'supported_features': 256})
await hass.async_block_till_done()
state = hass.states.get('light.light_group')
assert state.attributes['supported_features'] == 41
async def test_service_calls(hass):
"""Test service calls."""
await async_setup_component(hass, 'light', {'light': [
{'platform': 'demo'},
{'platform': 'group', 'entities': ['light.bed_light',
'light.ceiling_lights',
'light.kitchen_lights']}
]})
await hass.async_block_till_done()
assert hass.states.get('light.light_group').state == 'on'
await common.async_toggle(hass, 'light.light_group')
assert hass.states.get('light.bed_light').state == 'off'
assert hass.states.get('light.ceiling_lights').state == 'off'
assert hass.states.get('light.kitchen_lights').state == 'off'
await common.async_turn_on(hass, 'light.light_group')
assert hass.states.get('light.bed_light').state == 'on'
assert hass.states.get('light.ceiling_lights').state == 'on'
assert hass.states.get('light.kitchen_lights').state == 'on'
await common.async_turn_off(hass, 'light.light_group')
assert hass.states.get('light.bed_light').state == 'off'
assert hass.states.get('light.ceiling_lights').state == 'off'
assert hass.states.get('light.kitchen_lights').state == 'off'
await common.async_turn_on(hass, 'light.light_group', brightness=128,
effect='Random', rgb_color=(42, 255, 255))
state = hass.states.get('light.bed_light')
assert state.state == 'on'
assert state.attributes['brightness'] == 128
assert state.attributes['effect'] == 'Random'
assert state.attributes['rgb_color'] == (42, 255, 255)
state = hass.states.get('light.ceiling_lights')
assert state.state == 'on'
assert state.attributes['brightness'] == 128
assert state.attributes['effect'] == 'Random'
assert state.attributes['rgb_color'] == (42, 255, 255)
state = hass.states.get('light.kitchen_lights')
assert state.state == 'on'
assert state.attributes['brightness'] == 128
assert state.attributes['effect'] == 'Random'
assert state.attributes['rgb_color'] == (42, 255, 255)
async def test_invalid_service_calls(hass):
"""Test invalid service call arguments get discarded."""
add_entities = MagicMock()
await group.async_setup_platform(hass, {
'entities': ['light.test1', 'light.test2']
}, add_entities)
assert add_entities.call_count == 1
grouped_light = add_entities.call_args[0][0][0]
grouped_light.hass = hass
with asynctest.patch.object(hass.services, 'async_call') as mock_call:
await grouped_light.async_turn_on(brightness=150, four_oh_four='404')
data = {
'entity_id': ['light.test1', 'light.test2'],
'brightness': 150
}
mock_call.assert_called_once_with('light', 'turn_on', data,
blocking=True)
mock_call.reset_mock()
await grouped_light.async_turn_off(transition=4, four_oh_four='404')
data = {
'entity_id': ['light.test1', 'light.test2'],
'transition': 4
}
mock_call.assert_called_once_with('light', 'turn_off', data,
blocking=True)
mock_call.reset_mock()
data = {
'brightness': 150,
'xy_color': (0.5, 0.42),
'rgb_color': (80, 120, 50),
'color_temp': 1234,
'white_value': 1,
'effect': 'Sunshine',
'transition': 4,
'flash': 'long'
}
await grouped_light.async_turn_on(**data)
data['entity_id'] = ['light.test1', 'light.test2']
data.pop('rgb_color')
data.pop('xy_color')
mock_call.assert_called_once_with('light', 'turn_on', data,
blocking=True)
| 39.3
| 77
| 0.617342
| 1,816
| 15,327
| 5.007159
| 0.069934
| 0.08688
| 0.103926
| 0.0871
| 0.816672
| 0.797866
| 0.760255
| 0.708897
| 0.660838
| 0.660838
| 0
| 0.025619
| 0.228355
| 15,327
| 389
| 78
| 39.401028
| 0.743215
| 0.002545
| 0
| 0.611842
| 0
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| 0.252454
| 0
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| 0
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| 0
| 0.246711
| 1
| 0
| false
| 0
| 0.016447
| 0
| 0.016447
| 0
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| 0
| 0
| null | 0
| 0
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| 1
| 1
| 1
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| 1
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| 0
| 0
| 0
| 0
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| 0
| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
7c37df20ee1faccd13333ada0194aec57abd54bc
| 114
|
py
|
Python
|
bumblebee/bases/__init__.py
|
Eye-C-U/bumblebee
|
7c5f41ae719ca75e103c52e5269e25a813720367
|
[
"MIT"
] | 6
|
2020-12-27T16:13:33.000Z
|
2021-01-15T15:07:54.000Z
|
bumblebee/bases/__init__.py
|
Eye-C-U/bumblebee
|
7c5f41ae719ca75e103c52e5269e25a813720367
|
[
"MIT"
] | null | null | null |
bumblebee/bases/__init__.py
|
Eye-C-U/bumblebee
|
7c5f41ae719ca75e103c52e5269e25a813720367
|
[
"MIT"
] | null | null | null |
from .Dataset import Dataset
from .Source import Source
from .Effect import Effect
from .IManager import IManager
| 22.8
| 30
| 0.824561
| 16
| 114
| 5.875
| 0.375
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.140351
| 114
| 4
| 31
| 28.5
| 0.959184
| 0
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| 0
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| true
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| 0
| 0
| 0
| 0
| 0
| 0
| 1
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| 0
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| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
7c7012ebbf472f676a9a5124871926406910da57
| 24
|
py
|
Python
|
ml_helpers/__init__.py
|
zlee406/ml_helpers
|
2916be71c09639d091d823c2673e7b4fae5e9ce3
|
[
"MIT"
] | null | null | null |
ml_helpers/__init__.py
|
zlee406/ml_helpers
|
2916be71c09639d091d823c2673e7b4fae5e9ce3
|
[
"MIT"
] | null | null | null |
ml_helpers/__init__.py
|
zlee406/ml_helpers
|
2916be71c09639d091d823c2673e7b4fae5e9ce3
|
[
"MIT"
] | null | null | null |
from . import MLPrograms
| 24
| 24
| 0.833333
| 3
| 24
| 6.666667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.125
| 24
| 1
| 24
| 24
| 0.952381
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
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| 1
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| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
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| 0
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
7c7fb8ece5a556c3eec3cc7c8f58087aaa36e6af
| 315
|
py
|
Python
|
toga/platform/gtk/widgets/passwordinput.py
|
r1chardj0n3s/toga
|
76a8aa44854cac31c7c29d96a2717a711411cde0
|
[
"BSD-3-Clause"
] | null | null | null |
toga/platform/gtk/widgets/passwordinput.py
|
r1chardj0n3s/toga
|
76a8aa44854cac31c7c29d96a2717a711411cde0
|
[
"BSD-3-Clause"
] | null | null | null |
toga/platform/gtk/widgets/passwordinput.py
|
r1chardj0n3s/toga
|
76a8aa44854cac31c7c29d96a2717a711411cde0
|
[
"BSD-3-Clause"
] | null | null | null |
from __future__ import print_function, absolute_import, division
from .textinput import TextInput
class PasswordInput(TextInput):
def __init__(self):
super(PasswordInput, self).__init__()
def _startup(self):
super(PasswordInput, self)._startup()
self._impl.set_visibility(False)
| 24.230769
| 64
| 0.730159
| 34
| 315
| 6.235294
| 0.558824
| 0.084906
| 0.207547
| 0.245283
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.180952
| 315
| 12
| 65
| 26.25
| 0.821705
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0.375
| 0.25
| 0
| 0.625
| 0.125
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 5
|
7cbbda508107ac002766265c3acff4a4311b2301
| 2,284
|
py
|
Python
|
tests/terraform/checks/resource/aws/test_RDSClusterEncrypted.py
|
jamesholland-uk/checkov
|
d73fd4bd7096d48ab3434a92a177bcc55605460a
|
[
"Apache-2.0"
] | 4,013
|
2019-12-09T13:16:54.000Z
|
2022-03-31T14:31:01.000Z
|
tests/terraform/checks/resource/aws/test_RDSClusterEncrypted.py
|
jamesholland-uk/checkov
|
d73fd4bd7096d48ab3434a92a177bcc55605460a
|
[
"Apache-2.0"
] | 1,258
|
2019-12-17T09:55:51.000Z
|
2022-03-31T19:17:17.000Z
|
tests/terraform/checks/resource/aws/test_RDSClusterEncrypted.py
|
jamesholland-uk/checkov
|
d73fd4bd7096d48ab3434a92a177bcc55605460a
|
[
"Apache-2.0"
] | 638
|
2019-12-19T08:57:38.000Z
|
2022-03-30T21:38:37.000Z
|
import unittest
import hcl2
from checkov.terraform.checks.resource.aws.RDSClusterEncrypted import check
from checkov.common.models.enums import CheckResult
class TestRDSClusterEncrypted(unittest.TestCase):
def test_failure(self):
hcl_res = hcl2.loads("""
resource "aws_rds_global_cluster" "example" {
provider = aws.primary
global_cluster_identifier = "example"
}
""")
resource_conf = hcl_res['resource'][0]['aws_rds_global_cluster']['example']
scan_result = check.scan_resource_conf(conf=resource_conf)
self.assertEqual(CheckResult.FAILED, scan_result)
def test_failure_explicit(self):
hcl_res = hcl2.loads("""
resource "aws_rds_global_cluster" "example" {
provider = aws.primary
global_cluster_identifier = "example"
storage_encrypted = false
}
""")
resource_conf = hcl_res['resource'][0]['aws_rds_global_cluster']['example']
scan_result = check.scan_resource_conf(conf=resource_conf)
self.assertEqual(CheckResult.FAILED, scan_result)
def test_success(self):
hcl_res = hcl2.loads("""
resource "aws_rds_global_cluster" "example" {
provider = aws.primary
global_cluster_identifier = "example"
storage_encrypted = true
}
""")
resource_conf = hcl_res['resource'][0]['aws_rds_global_cluster']['example']
scan_result = check.scan_resource_conf(conf=resource_conf)
self.assertEqual(CheckResult.PASSED, scan_result)
def test_success_with_source_db_cluster_identifier(self):
hcl_res = hcl2.loads("""
resource "aws_rds_global_cluster" "example" {
provider = aws.primary
global_cluster_identifier = "example"
source_db_cluster_identifier = "some_arn"
}
""")
resource_conf = hcl_res['resource'][0]['aws_rds_global_cluster']['example']
scan_result = check.scan_resource_conf(conf=resource_conf)
self.assertEqual(CheckResult.UNKNOWN, scan_result)
if __name__ == '__main__':
unittest.main()
| 36.253968
| 83
| 0.625657
| 235
| 2,284
| 5.706383
| 0.229787
| 0.116331
| 0.071588
| 0.113348
| 0.758389
| 0.735272
| 0.735272
| 0.735272
| 0.735272
| 0.735272
| 0
| 0.005455
| 0.277583
| 2,284
| 62
| 84
| 36.83871
| 0.807273
| 0
| 0
| 0.6
| 0
| 0
| 0.454904
| 0.136602
| 0
| 0
| 0
| 0
| 0.08
| 1
| 0.08
| false
| 0.02
| 0.08
| 0
| 0.18
| 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
|
7cc99714418101c12a01b1538a0f4e89e4b68e1b
| 8,192
|
py
|
Python
|
test/functional/tests/lazy_writes/recovery/test_recovery_flush_reset.py
|
sirizhou/open-cas-linux
|
e623c44b3b637238a8c6041f8659d8eb3766b91c
|
[
"BSD-3-Clause-Clear"
] | null | null | null |
test/functional/tests/lazy_writes/recovery/test_recovery_flush_reset.py
|
sirizhou/open-cas-linux
|
e623c44b3b637238a8c6041f8659d8eb3766b91c
|
[
"BSD-3-Clause-Clear"
] | null | null | null |
test/functional/tests/lazy_writes/recovery/test_recovery_flush_reset.py
|
sirizhou/open-cas-linux
|
e623c44b3b637238a8c6041f8659d8eb3766b91c
|
[
"BSD-3-Clause-Clear"
] | null | null | null |
#
# Copyright(c) 2019-2020 Intel Corporation
# SPDX-License-Identifier: BSD-3-Clause-Clear
#
import os
import pytest
from api.cas import casadm, cli
from api.cas.cache_config import CacheMode, CacheModeTrait, CleaningPolicy, SeqCutOffPolicy
from core.test_run import TestRun
from storage_devices.disk import DiskTypeSet, DiskType, DiskTypeLowerThan
from test_tools.dd import Dd
from test_tools.disk_utils import Filesystem
from test_utils import os_utils
from test_utils.os_utils import Udev
from test_utils.output import CmdException
from test_utils.size import Size, Unit
from tests.lazy_writes.recovery.recovery_tests_methods import create_test_files, copy_file, \
compare_files, power_cycle_dut
mount_point = "/mnt"
test_file_size = Size(1.5, Unit.GibiByte)
@pytest.mark.require_disk("cache", DiskTypeSet([DiskType.optane, DiskType.nand]))
@pytest.mark.require_disk("core", DiskTypeLowerThan("cache"))
@pytest.mark.parametrizex("cache_mode", CacheMode.with_traits(CacheModeTrait.LazyWrites))
@pytest.mark.require_plugin("power_control")
def test_recovery_flush_reset_raw(cache_mode):
"""
title: Recovery after reset during cache flushing - test on raw device.
description: |
Verify that unflushed data can be safely recovered, when reset was pressed during
data flushing on raw device.
pass_criteria:
- CAS recovers successfully after reboot
- No data corruption
"""
with TestRun.step("Prepare cache and core devices."):
cache_disk = TestRun.disks['cache']
core_disk = TestRun.disks['core']
cache_disk.create_partitions([Size(2, Unit.GibiByte)])
core_disk.create_partitions([Size(16, Unit.GibiByte)] * 2)
cache_device = cache_disk.partitions[0]
core_device = core_disk.partitions[0]
core_device_link = core_device.get_device_link("/dev/disk/by-id")
cache_device_link = cache_device.get_device_link("/dev/disk/by-id")
with TestRun.step("Create test files."):
source_file, target_file = create_test_files(test_file_size)
with TestRun.step("Setup cache and add core."):
cache = casadm.start_cache(cache_device, cache_mode)
core = cache.add_core(core_device)
cache.set_cleaning_policy(CleaningPolicy.nop)
cache.set_seq_cutoff_policy(SeqCutOffPolicy.never)
with TestRun.step("Copy file to CAS."):
copy_file(source=source_file.full_path, target=core.path, size=test_file_size,
direct="oflag")
with TestRun.step("Sync and flush buffers."):
os_utils.sync()
output = TestRun.executor.run(f"hdparm -f {core.path}")
if output.exit_code != 0:
raise CmdException("Error during hdparm", output)
with TestRun.step("Trigger flush."):
TestRun.executor.run_in_background(cli.flush_cache_cmd(f"{cache.cache_id}"))
with TestRun.step("Hard reset DUT during data flushing."):
power_cycle_dut(wait_for_flush_begin=True, core_device=core_device)
cache_device.path = cache_device_link.get_target()
core_device.path = core_device_link.get_target()
with TestRun.step("Copy file from core and check if current md5sum is different than "
"before restart."):
copy_file(source=core_device_link.get_target(), target=target_file.full_path,
size=test_file_size, direct="iflag")
compare_files(source_file, target_file, should_differ=True)
with TestRun.step("Load cache."):
cache = casadm.load_cache(cache_device)
if cache.get_dirty_blocks() == Size.zero():
TestRun.fail("There are no dirty blocks on cache device.")
with TestRun.step("Stop cache with dirty data flush."):
core_writes_before = core_device.get_io_stats().sectors_written
cache.stop()
if core_writes_before >= core_device.get_io_stats().sectors_written:
TestRun.fail("No data was flushed after stopping cache started with load option.")
with TestRun.step("Copy test file from core device to temporary location. "
"Compare it with the first version – they should be the same."):
copy_file(source=core_device_link.get_target(), target=target_file.full_path,
size=test_file_size, direct="iflag")
compare_files(source_file, target_file)
with TestRun.step("Cleanup core device and remove test files."):
target_file.remove()
source_file.remove()
@pytest.mark.require_disk("cache", DiskTypeSet([DiskType.optane, DiskType.nand]))
@pytest.mark.require_disk("core", DiskTypeLowerThan("cache"))
@pytest.mark.parametrizex("cache_mode", CacheMode.with_traits(CacheModeTrait.LazyWrites))
@pytest.mark.parametrizex("fs", [Filesystem.xfs, Filesystem.ext4])
@pytest.mark.require_plugin("power_control")
def test_recovery_flush_reset_fs(cache_mode, fs):
"""
title: Recovery after reset during cache flushing - test on filesystem.
description: |
Verify that unflushed data can be safely recovered, when reset was pressed during
data flushing on filesystem.
pass_criteria:
- CAS recovers successfully after reboot
- No data corruption
"""
with TestRun.step("Prepare cache and core devices."):
cache_disk = TestRun.disks['cache']
core_disk = TestRun.disks['core']
cache_disk.create_partitions([Size(2, Unit.GibiByte)])
core_disk.create_partitions([Size(16, Unit.GibiByte)] * 2)
cache_device = cache_disk.partitions[0]
core_device = core_disk.partitions[0]
core_device_link = core_device.get_device_link("/dev/disk/by-id")
cache_device_link = cache_device.get_device_link("/dev/disk/by-id")
with TestRun.step(f"Create {fs} filesystem on core."):
core_device.create_filesystem(fs)
with TestRun.step("Create test files."):
source_file, target_file = create_test_files(test_file_size)
with TestRun.step("Setup cache and add core."):
cache = casadm.start_cache(cache_device, cache_mode)
Udev.disable()
core = cache.add_core(core_device)
cache.set_cleaning_policy(CleaningPolicy.nop)
cache.set_seq_cutoff_policy(SeqCutOffPolicy.never)
with TestRun.step("Mount CAS device."):
core.mount(mount_point)
with TestRun.step("Copy file to CAS."):
copy_file(source=source_file.full_path,
target=os.path.join(mount_point, "source_test_file"),
size=test_file_size, direct="oflag")
with TestRun.step("Unmount CAS device."):
core.unmount()
with TestRun.step("Trigger flush."):
TestRun.executor.run_in_background(cli.flush_cache_cmd(f"{cache.cache_id}"))
with TestRun.step("Hard reset DUT during data flushing."):
power_cycle_dut(True, core_device)
cache_device.path = cache_device_link.get_target()
core_device.path = core_device_link.get_target()
with TestRun.step("Load cache."):
cache = casadm.load_cache(cache_device)
if cache.get_dirty_blocks() == Size.zero():
TestRun.fail("There are no dirty blocks on cache device.")
with TestRun.step("Stop cache with dirty data flush."):
core_writes_before = core_device.get_io_stats().sectors_written
cache.stop()
if core_writes_before >= core_device.get_io_stats().sectors_written:
TestRun.fail("No data was flushed after stopping cache started with load option.")
with TestRun.step("Mount core device."):
core_device.mount(mount_point)
with TestRun.step("Copy test file from core device to temporary location. "
"Compare it with the first version – they should be the same."):
copy_file(source=os.path.join(mount_point, "source_test_file"),
target=target_file.full_path,
size=test_file_size, direct="iflag")
compare_files(source_file, target_file)
with TestRun.step("Unmount core device and remove test files."):
core_device.unmount()
target_file.remove()
source_file.remove()
Udev.enable()
| 43.807487
| 94
| 0.69812
| 1,089
| 8,192
| 5.02663
| 0.182736
| 0.052978
| 0.071246
| 0.020826
| 0.792656
| 0.791195
| 0.768542
| 0.763062
| 0.750639
| 0.717757
| 0
| 0.003973
| 0.201172
| 8,192
| 186
| 95
| 44.043011
| 0.832213
| 0.079468
| 0
| 0.634328
| 0
| 0
| 0.185871
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.014925
| false
| 0
| 0.097015
| 0
| 0.11194
| 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
|
7cd9bf4101235d33dd0851006fb5355fa7094f36
| 96
|
py
|
Python
|
venv/lib/python3.8/site-packages/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_console.py
|
Retraces/UkraineBot
|
3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71
|
[
"MIT"
] | 2
|
2022-03-13T01:58:52.000Z
|
2022-03-31T06:07:54.000Z
|
venv/lib/python3.8/site-packages/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_console.py
|
DesmoSearch/Desmobot
|
b70b45df3485351f471080deb5c785c4bc5c4beb
|
[
"MIT"
] | 19
|
2021-11-20T04:09:18.000Z
|
2022-03-23T15:05:55.000Z
|
venv/lib/python3.8/site-packages/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_console.py
|
DesmoSearch/Desmobot
|
b70b45df3485351f471080deb5c785c4bc5c4beb
|
[
"MIT"
] | null | null | null |
/home/runner/.cache/pip/pool/1a/0b/a9/7aeda443ffd94fe933beaae28851149219464eb70b6492d03202acdcb2
| 96
| 96
| 0.895833
| 9
| 96
| 9.555556
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.395833
| 0
| 96
| 1
| 96
| 96
| 0.5
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
7ce76a609247df1043721d1381fac454aa1dfdb8
| 196
|
py
|
Python
|
adv_train/model/cifar/__init__.py
|
busycalibrating/Adversarial-Training
|
e1fe4061f72e1379d9920b02c1cc281e1be2606f
|
[
"MIT"
] | null | null | null |
adv_train/model/cifar/__init__.py
|
busycalibrating/Adversarial-Training
|
e1fe4061f72e1379d9920b02c1cc281e1be2606f
|
[
"MIT"
] | null | null | null |
adv_train/model/cifar/__init__.py
|
busycalibrating/Adversarial-Training
|
e1fe4061f72e1379d9920b02c1cc281e1be2606f
|
[
"MIT"
] | 1
|
2022-01-31T06:14:41.000Z
|
2022-01-31T06:14:41.000Z
|
# from .train import train_cifar as train
# from .params import CifarTrainingParams as TrainingParams
from .models import CifarModel, load_cifar_classifier
from .dataset import load_cifar_dataset
| 39.2
| 59
| 0.846939
| 26
| 196
| 6.192308
| 0.5
| 0.111801
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.117347
| 196
| 4
| 60
| 49
| 0.930636
| 0.494898
| 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
|
8611c0484d4c406329a70127b75ee90eb18f2597
| 194
|
py
|
Python
|
main/management/commands/listen_for_tweets.py
|
Aaron1011/texting_wall
|
c20b421652fbdaef927e9d206fc17d8f1f40ae46
|
[
"MIT"
] | null | null | null |
main/management/commands/listen_for_tweets.py
|
Aaron1011/texting_wall
|
c20b421652fbdaef927e9d206fc17d8f1f40ae46
|
[
"MIT"
] | null | null | null |
main/management/commands/listen_for_tweets.py
|
Aaron1011/texting_wall
|
c20b421652fbdaef927e9d206fc17d8f1f40ae46
|
[
"MIT"
] | null | null | null |
from django.core.management.base import BaseCommand, CommandError
import _listen_for_tweets
class Command(BaseCommand):
def handle(self, *args, **options):
_listen_for_tweets.main()
| 32.333333
| 65
| 0.773196
| 24
| 194
| 6
| 0.791667
| 0.125
| 0.208333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.134021
| 194
| 5
| 66
| 38.8
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.4
| 0
| 0.8
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
8612edf5bc9f01b55c9895af1666687c2dbd1ef7
| 55
|
py
|
Python
|
hello_world.py
|
mvndinesh/profiles-rest-api
|
5dfa11be2a7c1e83e34fcd502ef3b2515d2ef690
|
[
"MIT"
] | null | null | null |
hello_world.py
|
mvndinesh/profiles-rest-api
|
5dfa11be2a7c1e83e34fcd502ef3b2515d2ef690
|
[
"MIT"
] | null | null | null |
hello_world.py
|
mvndinesh/profiles-rest-api
|
5dfa11be2a7c1e83e34fcd502ef3b2515d2ef690
|
[
"MIT"
] | null | null | null |
print("hello world how are you Dinesh Sruthi Ishan")
| 55
| 55
| 0.745455
| 9
| 55
| 4.555556
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.181818
| 55
| 1
| 55
| 55
| 0.911111
| 0
| 0
| 0
| 0
| 0
| 0.821429
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 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
|
86260c5a4cb8249a92687577759a3a34cc0eb9c8
| 131
|
py
|
Python
|
day_1/print_function.py
|
anishLearnsToCode/python-workshop-7
|
2d5933be2629600f5f9e8efea58403421737a299
|
[
"MIT"
] | 4
|
2020-12-22T14:28:22.000Z
|
2021-09-15T20:28:15.000Z
|
day_1/print_function.py
|
anishLearnsToCode/python-workshop-7
|
2d5933be2629600f5f9e8efea58403421737a299
|
[
"MIT"
] | null | null | null |
day_1/print_function.py
|
anishLearnsToCode/python-workshop-7
|
2d5933be2629600f5f9e8efea58403421737a299
|
[
"MIT"
] | null | null | null |
print('i am batman', end='\n')
print('hello world', end='\t\t')
print('this is cool\n', end=' ----- ')
print('i am still here')
| 26.2
| 41
| 0.564885
| 23
| 131
| 3.217391
| 0.608696
| 0.162162
| 0.216216
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.152672
| 131
| 4
| 42
| 32.75
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0.51145
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 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
| 0
| 0
| 0
| 1
|
0
| 5
|
862c031004c575cf7c71610f990283c7c3f04324
| 153
|
py
|
Python
|
caffe2/python/build.py
|
Hacky-DH/pytorch
|
80dc4be615854570aa39a7e36495897d8a040ecc
|
[
"Intel"
] | 60,067
|
2017-01-18T17:21:31.000Z
|
2022-03-31T21:37:45.000Z
|
caffe2/python/build.py
|
Hacky-DH/pytorch
|
80dc4be615854570aa39a7e36495897d8a040ecc
|
[
"Intel"
] | 66,955
|
2017-01-18T17:21:38.000Z
|
2022-03-31T23:56:11.000Z
|
caffe2/python/build.py
|
Hacky-DH/pytorch
|
80dc4be615854570aa39a7e36495897d8a040ecc
|
[
"Intel"
] | 19,210
|
2017-01-18T17:45:04.000Z
|
2022-03-31T23:51:56.000Z
|
import caffe2.python._import_c_extension as C
CAFFE2_NO_OPERATOR_SCHEMA = C.define_caffe2_no_operator_schema
build_options = C.get_build_options()
| 15.3
| 62
| 0.843137
| 24
| 153
| 4.833333
| 0.541667
| 0.137931
| 0.275862
| 0.37931
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.021898
| 0.104575
| 153
| 9
| 63
| 17
| 0.824818
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 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
|
863991457f3e770de9f9fb5c31b7d553f3a1ffb4
| 494
|
py
|
Python
|
core/src/zeit/content/article/edit/embed.py
|
rickdg/vivi
|
16134ac954bf8425646d4ad47bdd1f372e089355
|
[
"BSD-3-Clause"
] | 5
|
2019-05-16T09:51:29.000Z
|
2021-05-31T09:30:03.000Z
|
core/src/zeit/content/article/edit/embed.py
|
rickdg/vivi
|
16134ac954bf8425646d4ad47bdd1f372e089355
|
[
"BSD-3-Clause"
] | 107
|
2019-05-24T12:19:02.000Z
|
2022-03-23T15:05:56.000Z
|
core/src/zeit/content/article/edit/embed.py
|
rickdg/vivi
|
16134ac954bf8425646d4ad47bdd1f372e089355
|
[
"BSD-3-Clause"
] | 3
|
2020-08-14T11:01:17.000Z
|
2022-01-08T17:32:19.000Z
|
from zeit.cms.i18n import MessageFactory as _
import grokcore.component as grok
import zeit.content.article.edit.block
import zeit.content.article.edit.interfaces
import zeit.content.modules.embed
@grok.implementer(zeit.content.article.edit.interfaces.IEmbed)
class Embed(zeit.content.modules.embed.Embed,
zeit.content.article.edit.block.Block):
type = 'embed'
class Factory(zeit.content.article.edit.block.BlockFactory):
produces = Embed
title = _('Embed block')
| 26
| 62
| 0.767206
| 65
| 494
| 5.8
| 0.384615
| 0.204244
| 0.238727
| 0.291777
| 0.416446
| 0
| 0
| 0
| 0
| 0
| 0
| 0.00463
| 0.125506
| 494
| 18
| 63
| 27.444444
| 0.868056
| 0
| 0
| 0
| 0
| 0
| 0.032389
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.416667
| 0
| 0.833333
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
864f4a703851f6091c5596d05bc946585437b5e4
| 28
|
py
|
Python
|
terrascript/spotinst/r.py
|
hugovk/python-terrascript
|
08fe185904a70246822f5cfbdc9e64e9769ec494
|
[
"BSD-2-Clause"
] | 507
|
2017-07-26T02:58:38.000Z
|
2022-01-21T12:35:13.000Z
|
terrascript/spotinst/r.py
|
hugovk/python-terrascript
|
08fe185904a70246822f5cfbdc9e64e9769ec494
|
[
"BSD-2-Clause"
] | 135
|
2017-07-20T12:01:59.000Z
|
2021-10-04T22:25:40.000Z
|
terrascript/spotinst/r.py
|
hugovk/python-terrascript
|
08fe185904a70246822f5cfbdc9e64e9769ec494
|
[
"BSD-2-Clause"
] | 81
|
2018-02-20T17:55:28.000Z
|
2022-01-31T07:08:40.000Z
|
# terrascript/spotinst/r.py
| 14
| 27
| 0.785714
| 4
| 28
| 5.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.071429
| 28
| 1
| 28
| 28
| 0.846154
| 0.892857
| 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
|
8666049d3798740011426e99277a81ec098a6f10
| 248
|
py
|
Python
|
src/cbapi/psc/threathunter/__init__.py
|
dewiestr/cbapi-python
|
e8bac7accd9100b585cd960a14f5eba4a1a57d4f
|
[
"MIT"
] | null | null | null |
src/cbapi/psc/threathunter/__init__.py
|
dewiestr/cbapi-python
|
e8bac7accd9100b585cd960a14f5eba4a1a57d4f
|
[
"MIT"
] | null | null | null |
src/cbapi/psc/threathunter/__init__.py
|
dewiestr/cbapi-python
|
e8bac7accd9100b585cd960a14f5eba4a1a57d4f
|
[
"MIT"
] | null | null | null |
# Exported public API for the Cb ThreatHunter API
from __future__ import absolute_import
from .rest_api import CbThreatHunterAPI
from cbapi.psc.threathunter.models import Process, Event, Tree
from cbapi.psc.threathunter.query import QueryBuilder
| 31
| 62
| 0.842742
| 34
| 248
| 5.970588
| 0.617647
| 0.08867
| 0.118227
| 0.236453
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.116935
| 248
| 7
| 63
| 35.428571
| 0.926941
| 0.189516
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
866e855103435a3c6e361d6af64598e0fef2b343
| 82
|
py
|
Python
|
cupy/functional/__init__.py
|
mnicely/cupy
|
9ed1d0db1404e9baa3c139032515d6028078bc91
|
[
"MIT"
] | 1
|
2020-03-30T20:56:52.000Z
|
2020-03-30T20:56:52.000Z
|
cupy/functional/__init__.py
|
mnicely/cupy
|
9ed1d0db1404e9baa3c139032515d6028078bc91
|
[
"MIT"
] | null | null | null |
cupy/functional/__init__.py
|
mnicely/cupy
|
9ed1d0db1404e9baa3c139032515d6028078bc91
|
[
"MIT"
] | null | null | null |
# "NOQA" to suppress flake8 warning
from cupy.functional import piecewise # NOQA
| 27.333333
| 45
| 0.780488
| 11
| 82
| 5.818182
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.014493
| 0.158537
| 82
| 2
| 46
| 41
| 0.913043
| 0.463415
| 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
|
8671a268eb3fc99a21cbfae2643da4e6a1d0b9a9
| 25
|
py
|
Python
|
stdlibs/__version__.py
|
jreese/stdlibs
|
bec3f977378cd4424b06b9dbb735d4e36d70283d
|
[
"MIT"
] | 5
|
2021-03-26T03:01:35.000Z
|
2022-01-21T18:00:46.000Z
|
stdlibs/__version__.py
|
jreese/stdlibs
|
bec3f977378cd4424b06b9dbb735d4e36d70283d
|
[
"MIT"
] | 2
|
2021-03-29T05:40:09.000Z
|
2022-03-01T17:05:31.000Z
|
stdlibs/__version__.py
|
jreese/stdlibs
|
bec3f977378cd4424b06b9dbb735d4e36d70283d
|
[
"MIT"
] | 2
|
2021-03-28T18:29:19.000Z
|
2022-01-27T13:32:38.000Z
|
__version__ = "2021.4.1"
| 12.5
| 24
| 0.68
| 4
| 25
| 3.25
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.272727
| 0.12
| 25
| 1
| 25
| 25
| 0.318182
| 0
| 0
| 0
| 0
| 0
| 0.32
| 0
| 0
| 0
| 0
| 0
| 0
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| false
| 0
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| 1
| 0
| null | 0
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| 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
|
868a5ff9c2a599ecc7cb81340b9cedf2738bbb5c
| 46
|
py
|
Python
|
src/plugins/console/__init__.py
|
andreaswatch/piTomation
|
140bff77ad0b84ad17898106c7be7dc48a2d0783
|
[
"MIT"
] | null | null | null |
src/plugins/console/__init__.py
|
andreaswatch/piTomation
|
140bff77ad0b84ad17898106c7be7dc48a2d0783
|
[
"MIT"
] | null | null | null |
src/plugins/console/__init__.py
|
andreaswatch/piTomation
|
140bff77ad0b84ad17898106c7be7dc48a2d0783
|
[
"MIT"
] | null | null | null |
"""
Allows to write to the System Console.
"""
| 15.333333
| 38
| 0.673913
| 7
| 46
| 4.428571
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.173913
| 46
| 3
| 39
| 15.333333
| 0.815789
| 0.826087
| 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
|
86c49c070ff015a40480d44ad48aa68f28b4aa72
| 148
|
py
|
Python
|
argus/__init__.py
|
NickVeld/argus
|
37c1cade3b82a9bffc289894458d80cf1720532d
|
[
"MIT"
] | null | null | null |
argus/__init__.py
|
NickVeld/argus
|
37c1cade3b82a9bffc289894458d80cf1720532d
|
[
"MIT"
] | null | null | null |
argus/__init__.py
|
NickVeld/argus
|
37c1cade3b82a9bffc289894458d80cf1720532d
|
[
"MIT"
] | null | null | null |
from argus.model import Model, load_model
import argus.engine
import argus.callbacks
import argus.metrics
import argus.types
__version__ = '0.2.1'
| 18.5
| 41
| 0.810811
| 23
| 148
| 5
| 0.565217
| 0.382609
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.022901
| 0.114865
| 148
| 7
| 42
| 21.142857
| 0.854962
| 0
| 0
| 0
| 0
| 0
| 0.033784
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.833333
| 0
| 0.833333
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
86c56d8c5b867f772d8628fa462736bee17c1d4d
| 971
|
py
|
Python
|
numpyScratch.py
|
juliuso/exercises
|
3c0e997728fe9d4b636cca23bd11db86dc710560
|
[
"MIT"
] | null | null | null |
numpyScratch.py
|
juliuso/exercises
|
3c0e997728fe9d4b636cca23bd11db86dc710560
|
[
"MIT"
] | null | null | null |
numpyScratch.py
|
juliuso/exercises
|
3c0e997728fe9d4b636cca23bd11db86dc710560
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
import os
import numpy as np
puzzle = [
[5, 3, 0, 0, 7, 0, 0, 0, 0],
[6, 0, 0, 1, 9, 5, 0, 0, 0],
[0, 9, 8, 0, 0, 0, 0, 6, 0],
[8, 0, 0, 0, 6, 0, 0, 0, 3],
[4, 0, 0, 8, 0, 3, 0, 0, 1],
[7, 0, 0, 0, 2, 0, 0, 0, 6],
[0, 6, 0, 0, 0, 0, 2, 8, 0],
[0, 0, 0, 4, 1, 9, 0, 0, 5],
[0, 0, 0, 0, 8, 0, 0, 7, 9],
]
if __name__ == "__main__":
p = np.array(puzzle)
puzzle_groups = []
for split_row_thirds in np.vsplit(p, 3):
for split_col_thirds in np.hsplit(split_row_thirds, 3):
puzzle_groups.append(split_col_thirds.flatten())
print(puzzle_groups)
"""
[array([5, 3, 0, 6, 0, 0, 0, 9, 8]),
array([0, 7, 0, 1, 9, 5, 0, 0, 0]),
array([0, 0, 0, 0, 0, 0, 0, 6, 0]),
array([8, 0, 0, 4, 0, 0, 7, 0, 0]),
array([0, 6, 0, 8, 0, 3, 0, 2, 0]),
array([0, 0, 3, 0, 0, 1, 0, 0, 6]),
array([0, 6, 0, 0, 0, 0, 0, 0, 0]),
array([0, 0, 0, 4, 1, 9, 0, 8, 0]),
array([2, 8, 0, 0, 0, 5, 0, 7, 9])]
"""
| 24.275
| 63
| 0.445932
| 221
| 971
| 1.873303
| 0.167421
| 0.280193
| 0.217391
| 0.135266
| 0.328502
| 0.193237
| 0.125604
| 0
| 0
| 0
| 0
| 0.236311
| 0.285273
| 971
| 39
| 64
| 24.897436
| 0.360231
| 0.020597
| 0
| 0
| 0
| 0
| 0.012966
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.1
| 0
| 0.1
| 0.05
| 0
| 0
| 1
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
86ca7219a9b7170516164fc74a109443f913c4e9
| 702
|
py
|
Python
|
assets/game_projects/fighter/src/hit_box.py
|
PineTreePizza/roll-back-engine
|
fc1fc19f9f8fdff52055064980349024aa1c2324
|
[
"MIT"
] | null | null | null |
assets/game_projects/fighter/src/hit_box.py
|
PineTreePizza/roll-back-engine
|
fc1fc19f9f8fdff52055064980349024aa1c2324
|
[
"MIT"
] | null | null | null |
assets/game_projects/fighter/src/hit_box.py
|
PineTreePizza/roll-back-engine
|
fc1fc19f9f8fdff52055064980349024aa1c2324
|
[
"MIT"
] | null | null | null |
import roll_engine_api
from roll.node import CollisionShape2D
from roll.physics import Collision
class HitBox(CollisionShape2D):
# TODO: Investigate way to make child not have to implement
@classmethod
def new(cls):
return roll_engine_api.node_new(
class_path=f"{__name__}",
class_name=f"{cls.__name__}",
node_type=f"{cls.extract_valid_inheritance_node()}",
)
def _start(self) -> None:
pass
class Attack(HitBox):
def _start(self) -> None:
self.frame_life_time = 0
self.has_hit = False
def has_collided_with_anything(self) -> bool:
return len(Collision.get_collided_nodes(node=self)) > 0
| 25.071429
| 64
| 0.662393
| 91
| 702
| 4.791209
| 0.56044
| 0.045872
| 0.059633
| 0.073395
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007547
| 0.245014
| 702
| 27
| 65
| 26
| 0.815094
| 0.081197
| 0
| 0.105263
| 0
| 0
| 0.096423
| 0.059098
| 0
| 0
| 0
| 0.037037
| 0
| 1
| 0.210526
| false
| 0.052632
| 0.157895
| 0.105263
| 0.578947
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
|
0
| 5
|
86cc15a713e145e16bf973b870a4d858cb257c37
| 7,688
|
py
|
Python
|
python/paddle/fluid/tests/unittests/ir/inference/test_trt_matmul_quant_dequant.py
|
wwqgtxx/Paddle
|
109ca9d250e37e723e364366e8402c307b110169
|
[
"Apache-2.0"
] | 17,085
|
2016-11-18T06:40:52.000Z
|
2022-03-31T22:52:32.000Z
|
python/paddle/fluid/tests/unittests/ir/inference/test_trt_matmul_quant_dequant.py
|
wwqgtxx/Paddle
|
109ca9d250e37e723e364366e8402c307b110169
|
[
"Apache-2.0"
] | 29,769
|
2016-11-18T06:35:22.000Z
|
2022-03-31T16:46:15.000Z
|
python/paddle/fluid/tests/unittests/ir/inference/test_trt_matmul_quant_dequant.py
|
wwqgtxx/Paddle
|
109ca9d250e37e723e364366e8402c307b110169
|
[
"Apache-2.0"
] | 4,641
|
2016-11-18T07:43:33.000Z
|
2022-03-31T15:15:02.000Z
|
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import unittest
import numpy as np
from inference_pass_test import InferencePassTest
from quant_dequant_test import QuantDequantTest
import paddle.fluid as fluid
import paddle.fluid.core as core
from paddle.fluid.core import PassVersionChecker
from paddle.fluid.core import AnalysisConfig
class TensorRTMatMulQuantDequantDims3Test(QuantDequantTest):
def setUp(self):
self.set_params()
def network():
self.data = fluid.data(
name='data', shape=[1, 28, 28], dtype='float32')
self.label = fluid.data(name='label', shape=[1, 1], dtype='int64')
matmul_out = fluid.layers.matmul(
x=self.data,
y=self.data,
transpose_x=self.transpose_x,
transpose_y=self.transpose_y,
alpha=self.alpha)
fc_out = fluid.layers.fc(input=matmul_out,
size=10,
num_flatten_dims=1,
bias_attr=False,
act=None)
result = fluid.layers.relu(fc_out)
loss = fluid.layers.cross_entropy(input=result, label=self.label)
avg_loss = fluid.layers.mean(loss)
return avg_loss, result
self.main_program.random_seed = 2
self.startup_program.random_seed = 2
self.test_main_program.random_seed = 2
#self.test_startup_program.random_seed = 2
with fluid.unique_name.guard():
with fluid.program_guard(self.main_program, self.startup_program):
self.loss, result = network()
opt = fluid.optimizer.Adam(learning_rate=0.0001)
opt.minimize(self.loss)
with fluid.unique_name.guard():
with fluid.program_guard(self.test_main_program,
self.startup_program):
network()
self.feeds = {"data": np.random.random([1, 28, 28]).astype("float32")}
self.fetch_list = [result]
self.enable_trt = True
self.trt_parameters = TensorRTMatMulQuantDequantDims3Test.TensorRTParam(
1 << 30, 32, 0, AnalysisConfig.Precision.Int8, False, False)
self.activation_quantize_type = 'moving_average_abs_max'
self.weight_quantize_type = 'channel_wise_abs_max'
def set_params(self):
self.transpose_x = False
self.transpose_y = False
self.alpha = 1.0
def test_check_output(self):
#self.quant_dequant()
if core.is_compiled_with_cuda():
use_gpu = True
self.check_output_with_option(
use_gpu, atol=1e-1, flatten=False, rtol=1e-1)
self.assertTrue(
PassVersionChecker.IsCompatible('tensorrt_subgraph_pass'))
class TensorRTMatMulQuantDequantDims3TransposeXTest(
TensorRTMatMulQuantDequantDims3Test):
def set_params(self):
self.transpose_x = True
self.transpose_y = False
self.alpha = 1.0
class TensorRTMatMulQuantDequantDims3TransposeYTest(
TensorRTMatMulQuantDequantDims3Test):
def set_params(self):
self.transpose_x = False
self.transpose_y = True
self.alpha = 1.0
class TensorRTMatMulQuantDequantDims3TransposeXYTest(
TensorRTMatMulQuantDequantDims3Test):
def set_params(self):
self.transpose_x = True
self.transpose_y = True
self.alpha = 1.0
class TensorRTMatMulQuantDequantDims4Test(QuantDequantTest):
def setUp(self):
self.set_params()
def network():
self.data = fluid.data(
name='data', shape=[1, 28, 28], dtype='float32')
self.label = fluid.data(name='label', shape=[1, 1], dtype='int64')
reshape_out = fluid.layers.reshape(self.data, shape=[1, 4, 14, 14])
matmul_out = fluid.layers.matmul(
x=reshape_out,
y=reshape_out,
transpose_x=self.transpose_x,
transpose_y=self.transpose_y,
alpha=self.alpha)
out = fluid.layers.batch_norm(matmul_out, is_test=True)
fc_out = fluid.layers.fc(input=matmul_out,
size=10,
num_flatten_dims=1,
bias_attr=False,
act=None)
result = fluid.layers.relu(fc_out)
loss = fluid.layers.cross_entropy(input=result, label=self.label)
avg_loss = fluid.layers.mean(loss)
return avg_loss, result
self.main_program.random_seed = 2
self.startup_program.random_seed = 2
self.test_main_program.random_seed = 2
#self.test_startup_program.random_seed = 2
with fluid.unique_name.guard():
with fluid.program_guard(self.main_program, self.startup_program):
self.loss, result = network()
opt = fluid.optimizer.Adam(learning_rate=0.0001)
opt.minimize(self.loss)
with fluid.unique_name.guard():
with fluid.program_guard(self.test_main_program,
self.startup_program):
network()
self.feeds = {"data": np.random.random([1, 28, 28]).astype("float32")}
self.fetch_list = [result]
self.enable_trt = True
self.trt_parameters = TensorRTMatMulQuantDequantDims4Test.TensorRTParam(
1 << 30, 32, 0, AnalysisConfig.Precision.Int8, False, False)
self.activation_quantize_type = 'moving_average_abs_max'
self.weight_quantize_type = 'channel_wise_abs_max'
def set_params(self):
self.transpose_x = False
self.transpose_y = False
self.alpha = 1.0
def test_check_output(self):
#self.quant_dequant()
if core.is_compiled_with_cuda():
use_gpu = True
self.check_output_with_option(
use_gpu, atol=1e-1, flatten=False, rtol=1e-1)
self.assertTrue(
PassVersionChecker.IsCompatible('tensorrt_subgraph_pass'))
class TensorRTMatMulQuantDequantDims4TransposeXTest(
TensorRTMatMulQuantDequantDims4Test):
def set_params(self):
self.transpose_x = True
self.transpose_y = False
self.alpha = 1.0
class TensorRTMatMulQuantDequantDims4TransposeYTest(
TensorRTMatMulQuantDequantDims4Test):
def set_params(self):
self.transpose_x = False
self.transpose_y = True
self.alpha = 1.0
class TensorRTMatMulQuantDequantDims4TransposeXYTest(
TensorRTMatMulQuantDequantDims4Test):
def set_params(self):
self.transpose_x = True
self.transpose_y = True
self.alpha = 1.0
class TensorRTMatMulQuantDequantDims4ScaleTest(
TensorRTMatMulQuantDequantDims4Test):
def set_params(self):
self.transpose_x = False
self.transpose_y = False
self.alpha = 2.0
if __name__ == "__main__":
unittest.main()
| 37.502439
| 80
| 0.623179
| 857
| 7,688
| 5.395566
| 0.224037
| 0.061851
| 0.033305
| 0.031142
| 0.724913
| 0.7141
| 0.702422
| 0.702422
| 0.694853
| 0.694853
| 0
| 0.024247
| 0.291883
| 7,688
| 204
| 81
| 37.686275
| 0.825129
| 0.091701
| 0
| 0.822785
| 0
| 0
| 0.028715
| 0.012635
| 0
| 0
| 0
| 0
| 0.012658
| 1
| 0.094937
| false
| 0.025316
| 0.050633
| 0
| 0.21519
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
86d39b58700719d2a3819b583f90786b1b326d7e
| 261
|
py
|
Python
|
rebuild_classifier_table.py
|
RomeroLaura/Axelrod
|
5dd874de295a5796c365ce0bb3028f4a532f4377
|
[
"MIT"
] | 596
|
2015-03-30T17:34:14.000Z
|
2022-03-21T19:32:38.000Z
|
rebuild_classifier_table.py
|
RomeroLaura/Axelrod
|
5dd874de295a5796c365ce0bb3028f4a532f4377
|
[
"MIT"
] | 1,018
|
2015-03-30T14:57:33.000Z
|
2022-03-14T14:57:48.000Z
|
rebuild_classifier_table.py
|
Nikoleta-v3/Axelrod
|
d535a7471ef4565495653d2cfc10e3c5ce04cfc6
|
[
"MIT"
] | 263
|
2015-03-31T10:26:28.000Z
|
2022-03-29T09:26:02.000Z
|
import os
from axelrod import all_strategies
from axelrod.classifier import all_classifiers, rebuild_classifier_table
if __name__ == "__main__":
# Change to relative path inside axelrod folder
rebuild_classifier_table(all_classifiers, all_strategies)
| 29
| 72
| 0.823755
| 33
| 261
| 6.030303
| 0.575758
| 0.110553
| 0.221106
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1341
| 261
| 8
| 73
| 32.625
| 0.880531
| 0.172414
| 0
| 0
| 0
| 0
| 0.037383
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.6
| 0
| 0.6
| 0
| 0
| 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
| 1
| 0
|
0
| 5
|
86dc500ab51e2404b1e6ae6689b45acb04b03d7e
| 85
|
py
|
Python
|
napari/components/experimental/monitor/__init__.py
|
MaksHess/napari
|
64a144607342c02177fc62fa83a3442ace0a98e7
|
[
"BSD-3-Clause"
] | 1,345
|
2019-03-03T21:14:14.000Z
|
2022-03-31T19:46:39.000Z
|
napari/components/experimental/monitor/__init__.py
|
MaksHess/napari
|
64a144607342c02177fc62fa83a3442ace0a98e7
|
[
"BSD-3-Clause"
] | 3,904
|
2019-03-02T01:30:24.000Z
|
2022-03-31T20:17:27.000Z
|
napari/components/experimental/monitor/__init__.py
|
MaksHess/napari
|
64a144607342c02177fc62fa83a3442ace0a98e7
|
[
"BSD-3-Clause"
] | 306
|
2019-03-29T17:09:10.000Z
|
2022-03-30T09:54:11.000Z
|
"""Monitor service."""
from ._monitor import monitor
from ._utils import numpy_dumps
| 21.25
| 31
| 0.776471
| 11
| 85
| 5.727273
| 0.636364
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.117647
| 85
| 3
| 32
| 28.333333
| 0.84
| 0.188235
| 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
|
86de83affb4247942b004c1d70a701081aa25779
| 36
|
py
|
Python
|
hpe3d/filter/__init__.py
|
dorianhenning/hpe3d
|
14ea2b0f76145793e2b15ce6fd31736c4be26b5b
|
[
"MIT"
] | 2
|
2020-05-27T08:21:20.000Z
|
2021-06-28T15:42:58.000Z
|
hpe3d/filter/__init__.py
|
dorianhenning/hpe3d
|
14ea2b0f76145793e2b15ce6fd31736c4be26b5b
|
[
"MIT"
] | 1
|
2022-03-22T14:07:05.000Z
|
2022-03-22T14:07:08.000Z
|
hpe3d/filter/__init__.py
|
dorianhenning/hpe3d
|
14ea2b0f76145793e2b15ce6fd31736c4be26b5b
|
[
"MIT"
] | 4
|
2020-05-27T08:21:21.000Z
|
2021-08-08T19:17:13.000Z
|
from .kalman import filter_variable
| 18
| 35
| 0.861111
| 5
| 36
| 6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.111111
| 36
| 1
| 36
| 36
| 0.9375
| 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
|
8122dc4d6d7687ee6f3e719c8338cdcb036a922e
| 436
|
py
|
Python
|
SNA/analytics/plot.py
|
deepesch/decentralizedtrustscore
|
406ac219cfa0eb37efa2bf5add484381fd78eb4a
|
[
"MIT"
] | null | null | null |
SNA/analytics/plot.py
|
deepesch/decentralizedtrustscore
|
406ac219cfa0eb37efa2bf5add484381fd78eb4a
|
[
"MIT"
] | null | null | null |
SNA/analytics/plot.py
|
deepesch/decentralizedtrustscore
|
406ac219cfa0eb37efa2bf5add484381fd78eb4a
|
[
"MIT"
] | 1
|
2020-09-06T02:53:47.000Z
|
2020-09-06T02:53:47.000Z
|
import matplotlib.pyplot as plt
# Bitcoinalpha Results
# Bitcoinotc Results
# MOI
"""
modelTime = [13.552489996, 14.1718680859, 14.3160290718, 14.1594519615, 13.8515219688]
predictions = [0.774728, 0.742073, 0.752958, 0.766682, 0.770104]
labels = [0.722196, 0.724562, 0.724562, 0.732608, 0.723273]
accuracy = [0.910317, 0.906058, 0.907714, 0.910080, 0.908940]
falsePositive = [0.417376, 0.372852, 0.386598, 0.400000, 0.413675]
"""
| 27.25
| 86
| 0.715596
| 65
| 436
| 4.8
| 0.630769
| 0.044872
| 0.051282
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.520942
| 0.123853
| 436
| 15
| 87
| 29.066667
| 0.295812
| 0.098624
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
d4b918445ff1913f866cfd0f8303c2844df4b920
| 39
|
py
|
Python
|
better_card_match.py
|
samdrivendevelopment/matching_monkey
|
ec42241759fcd9b03584df5265da686362c7b8bd
|
[
"BSD-2-Clause"
] | null | null | null |
better_card_match.py
|
samdrivendevelopment/matching_monkey
|
ec42241759fcd9b03584df5265da686362c7b8bd
|
[
"BSD-2-Clause"
] | null | null | null |
better_card_match.py
|
samdrivendevelopment/matching_monkey
|
ec42241759fcd9b03584df5265da686362c7b8bd
|
[
"BSD-2-Clause"
] | null | null | null |
def should_quit(user_input):
pass
| 9.75
| 28
| 0.717949
| 6
| 39
| 4.333333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.205128
| 39
| 3
| 29
| 13
| 0.83871
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 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
| 1
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
d4dcab8e8fa1a4cdd4d1260d01a3866393ac57b8
| 416
|
py
|
Python
|
Python/Warmup_2/array_front9.py
|
RCoon/CodingBat
|
c5004c03e668c62751dc7f13154c79e25ea34339
|
[
"MIT"
] | 1
|
2015-11-06T02:26:50.000Z
|
2015-11-06T02:26:50.000Z
|
Python/Warmup_2/array_front9.py
|
RCoon/CodingBat
|
c5004c03e668c62751dc7f13154c79e25ea34339
|
[
"MIT"
] | null | null | null |
Python/Warmup_2/array_front9.py
|
RCoon/CodingBat
|
c5004c03e668c62751dc7f13154c79e25ea34339
|
[
"MIT"
] | null | null | null |
# Given an array of ints, return True if one of the first 4 elements in the
# array is a 9. The array length may be less than 4.
# array_front9([1, 2, 9, 3, 4]) --> True
# array_front9([1, 2, 3, 4, 9]) --> False
# array_front9([1, 2, 3, 4, 5]) --> False
def array_front9(nums):
return 9 in nums[:4]
print(array_front9([1, 2, 9, 3, 4]))
print(array_front9([1, 2, 3, 4, 9]))
print(array_front9([1, 2, 3, 4, 5]))
| 29.714286
| 75
| 0.620192
| 85
| 416
| 2.952941
| 0.364706
| 0.306773
| 0.286853
| 0.310757
| 0.446215
| 0.446215
| 0.422311
| 0
| 0
| 0
| 0
| 0.125373
| 0.194712
| 416
| 13
| 76
| 32
| 0.623881
| 0.586538
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0
| 0.2
| 0.4
| 0.6
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
|
0
| 5
|
d4fe4faadec3f2478f2e3000c8dfdc4f70dda4d3
| 51
|
py
|
Python
|
examples/scripts/startup.py
|
fossabot/django-mirage
|
814b3f2486af31f9dca42ef4bb0215655fe0aea6
|
[
"Apache-2.0"
] | 4
|
2019-05-16T09:26:21.000Z
|
2022-02-14T06:21:40.000Z
|
examples/scripts/startup.py
|
fossabot/django-mirage
|
814b3f2486af31f9dca42ef4bb0215655fe0aea6
|
[
"Apache-2.0"
] | 59
|
2019-07-01T16:20:22.000Z
|
2022-02-14T03:36:04.000Z
|
examples/scripts/startup.py
|
fossabot/django-mirage
|
814b3f2486af31f9dca42ef4bb0215655fe0aea6
|
[
"Apache-2.0"
] | 1
|
2018-12-08T09:57:54.000Z
|
2018-12-08T09:57:54.000Z
|
def startUP():
pass
def carmDown():
pass
| 7.285714
| 15
| 0.568627
| 6
| 51
| 4.833333
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.313725
| 51
| 6
| 16
| 8.5
| 0.828571
| 0
| 0
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| true
| 0.5
| 0
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
be1c65156fa463c2c9ee1414aa28bf4314c52fea
| 100
|
py
|
Python
|
enthought/tvtk/pyface/ui/qt4/actor_editor.py
|
enthought/etsproxy
|
4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347
|
[
"BSD-3-Clause"
] | 3
|
2016-12-09T06:05:18.000Z
|
2018-03-01T13:00:29.000Z
|
enthought/tvtk/pyface/ui/qt4/actor_editor.py
|
enthought/etsproxy
|
4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347
|
[
"BSD-3-Clause"
] | 1
|
2020-12-02T00:51:32.000Z
|
2020-12-02T08:48:55.000Z
|
enthought/tvtk/pyface/ui/qt4/actor_editor.py
|
enthought/etsproxy
|
4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347
|
[
"BSD-3-Clause"
] | null | null | null |
# proxy module
from __future__ import absolute_import
from tvtk.pyface.ui.qt4.actor_editor import *
| 25
| 45
| 0.83
| 15
| 100
| 5.133333
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.011236
| 0.11
| 100
| 3
| 46
| 33.333333
| 0.853933
| 0.12
| 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
|
07ad3360f53fb54a5d7c8b49eb0b1800034b7d79
| 47
|
py
|
Python
|
test.py
|
TrungTri/profiles-REST-API
|
b31407ad4999166bf743b5272003fed94fae0882
|
[
"MIT"
] | null | null | null |
test.py
|
TrungTri/profiles-REST-API
|
b31407ad4999166bf743b5272003fed94fae0882
|
[
"MIT"
] | null | null | null |
test.py
|
TrungTri/profiles-REST-API
|
b31407ad4999166bf743b5272003fed94fae0882
|
[
"MIT"
] | null | null | null |
print("Hello world")
print("hi")
print("hi3`")
| 11.75
| 20
| 0.638298
| 7
| 47
| 4.285714
| 0.714286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.023256
| 0.085106
| 47
| 3
| 21
| 15.666667
| 0.674419
| 0
| 0
| 0
| 0
| 0
| 0.361702
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 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
| 1
|
0
| 5
|
07b9512a329d587cefe6ec696e52e2f796c2e976
| 145
|
py
|
Python
|
argos/apps/common/admin.py
|
daedafusion/django-argos
|
f28081be13d450baf8a7eaecef1e71e22a6e8833
|
[
"Apache-2.0"
] | null | null | null |
argos/apps/common/admin.py
|
daedafusion/django-argos
|
f28081be13d450baf8a7eaecef1e71e22a6e8833
|
[
"Apache-2.0"
] | null | null | null |
argos/apps/common/admin.py
|
daedafusion/django-argos
|
f28081be13d450baf8a7eaecef1e71e22a6e8833
|
[
"Apache-2.0"
] | null | null | null |
from django.contrib import admin
# Register your models here.
from argos.apps.common.models import UserProfile
admin.site.register(UserProfile)
| 24.166667
| 48
| 0.827586
| 20
| 145
| 6
| 0.7
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.103448
| 145
| 6
| 49
| 24.166667
| 0.923077
| 0.17931
| 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
|
07db4536e8c3a0a469539ed14e4d330f72736054
| 20,244
|
py
|
Python
|
src/python/AxisAlignedBox_TEST.py
|
jwnimmer-tri/ign-math
|
5201e53836a7acf67d6a491387cdb6c244f0c4d1
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
src/python/AxisAlignedBox_TEST.py
|
jwnimmer-tri/ign-math
|
5201e53836a7acf67d6a491387cdb6c244f0c4d1
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
src/python/AxisAlignedBox_TEST.py
|
jwnimmer-tri/ign-math
|
5201e53836a7acf67d6a491387cdb6c244f0c4d1
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
# Copyright (C) 2021 Open Source Robotics Foundation
#
# Licensed under the Apache License, Version 2.0 (the "License")
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http:#www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import math
import unittest
from ignition.math import AxisAlignedBox, Line3d, Vector3d
from ignition.math import IGN_SQRT2, LOW_D, MAX_D
class TestAxisAlignedBox(unittest.TestCase):
def test_empty_constructor(self):
box = AxisAlignedBox()
self.assertEqual(Vector3d(MAX_D, MAX_D, MAX_D), box.min())
self.assertEqual(Vector3d(LOW_D, LOW_D, LOW_D), box.max())
def test_constructor(self):
box = AxisAlignedBox(Vector3d(0, -1, 2), Vector3d(1, -2, 3))
self.assertEqual(Vector3d(0, -2, 2), box.min())
self.assertEqual(Vector3d(1, -1, 3), box.max())
box1 = AxisAlignedBox(box)
self.assertEqual(box1.min(), box.min())
self.assertEqual(box1.max(), box.max())
def test_manual_set(self):
box = AxisAlignedBox(Vector3d(0, -1, 2), Vector3d(1, -2, 3))
box1 = AxisAlignedBox()
box1.min().set(-2, 2, 3)
box1.max().set(0, 0, 3)
box1 += box
self.assertEqual(box1.min().x(), -2)
self.assertEqual(box1.min().y(), -2)
self.assertEqual(box1.min().z(), 2)
self.assertEqual(box1.max().x(), 1)
self.assertEqual(box1.max().y(), 0)
self.assertEqual(box1.max().z(), 3)
box2 = AxisAlignedBox()
box2.max().set(1, 1, 1)
self.assertEqual(box2.size().x(), 0)
self.assertEqual(box2.size().y(), 0)
self.assertEqual(box2.size().z(), 0)
box3 = AxisAlignedBox()
box3.min().set(1, 1, 1)
self.assertEqual(box3.size().x(), 0)
self.assertEqual(box3.size().y(), 0)
self.assertEqual(box3.size().z(), 0)
def test_length(self):
box = AxisAlignedBox(Vector3d(0, -1, 2), Vector3d(1, -2, 3))
self.assertEqual(box.x_length(), 1)
self.assertEqual(box.y_length(), 1)
self.assertEqual(box.z_length(), 1)
def test_size(self):
box = AxisAlignedBox(Vector3d(0, -1, 2), Vector3d(1, -2, 3))
self.assertEqual(box.size(), Vector3d(1, 1, 1))
def test_center(self):
box = AxisAlignedBox(Vector3d(0, -1, 2), Vector3d(1, -2, 3))
self.assertEqual(box.center(), Vector3d(0.5, -1.5, 2.5))
def test_merge_empty(self):
box1 = AxisAlignedBox()
box2 = AxisAlignedBox()
box1.merge(box2)
self.assertEqual(Vector3d(MAX_D, MAX_D, MAX_D), box1.min())
self.assertEqual(Vector3d(LOW_D, LOW_D, LOW_D), box1.max())
def test_default_constructor(self):
defaultAxisAlignedBox1 = AxisAlignedBox()
defaultAxisAlignedBox2 = AxisAlignedBox()
defaultAxisAlignedBox3 = AxisAlignedBox(Vector3d(0, 0, 0), Vector3d(1, 1, 1))
self.assertEqual(defaultAxisAlignedBox1.size(), Vector3d(0, 0, 0))
self.assertEqual(defaultAxisAlignedBox1.x_length(), 0)
self.assertEqual(defaultAxisAlignedBox1.y_length(), 0)
self.assertEqual(defaultAxisAlignedBox1.z_length(), 0)
self.assertEqual(defaultAxisAlignedBox1.center(), Vector3d(0, 0, 0))
self.assertFalse(defaultAxisAlignedBox1.intersects(defaultAxisAlignedBox2))
self.assertFalse(defaultAxisAlignedBox1.intersects(defaultAxisAlignedBox3))
self.assertFalse(defaultAxisAlignedBox1.contains(Vector3d.ZERO))
def test_minus(self):
box1 = AxisAlignedBox(1, 2, 3, 4, 5, 6)
sub = Vector3d(1, 1, 1)
box2 = box1 - sub
self.assertEqual(box2.min(), box1.min() - sub)
self.assertEqual(box2.max(), box1.max() - sub)
def test_plus(self):
box1 = AxisAlignedBox(1, 2, 3, 4, 5, 6)
add = Vector3d(1, 1, 1)
box2 = box1 + add
self.assertEqual(box2.min(), box1.min() + add)
self.assertEqual(box2.max(), box1.max() + add)
def test_plus_empty(self):
box1 = AxisAlignedBox()
box2 = AxisAlignedBox()
box1 += box2
self.assertEqual(Vector3d(MAX_D, MAX_D, MAX_D), box1.min())
self.assertEqual(Vector3d(LOW_D, LOW_D, LOW_D), box1.max())
box3 = box2 + box1
self.assertEqual(Vector3d(MAX_D, MAX_D, MAX_D), box3.min())
self.assertEqual(Vector3d(LOW_D, LOW_D, LOW_D), box3.max())
def test_merge(self):
box = AxisAlignedBox(Vector3d(0, -1, 2), Vector3d(1, -2, 3))
box.merge(AxisAlignedBox(Vector3d(-1, -1, -1), Vector3d(2, 2, 2)))
self.assertEqual(box, AxisAlignedBox(Vector3d(-1, -2, -1), Vector3d(2, 2, 3)))
def test_volume(self):
box = AxisAlignedBox(Vector3d(0, -1, 2), Vector3d(1, -2, 3))
self.assertEqual(box.volume(), 1.0)
def test_operator_equal(self):
box = AxisAlignedBox(Vector3d(1, 1, 1), Vector3d(3, 3, 3))
box2 = AxisAlignedBox(Vector3d(1, 1, 1), Vector3d(1, 3, 3))
box3 = AxisAlignedBox(Vector3d(0, 1, 1), Vector3d(1, 3, 3))
self.assertTrue(box == AxisAlignedBox(Vector3d(1, 1, 1), Vector3d(3, 3, 3)))
self.assertFalse(box == box2)
self.assertFalse(box3 == box)
def test_operator_not_equal(self):
box = AxisAlignedBox(Vector3d(1, 1, 1), Vector3d(3, 3, 3))
box2 = AxisAlignedBox(Vector3d(1, 1, 1), Vector3d(1, 3, 3))
box3 = AxisAlignedBox(Vector3d(0, 1, 1), Vector3d(1, 3, 3))
self.assertFalse(box != AxisAlignedBox(Vector3d(1, 1, 1), Vector3d(3, 3, 3)))
self.assertTrue(box != box2)
self.assertTrue(box3 != box)
def test_operator_plus_equal(self):
box = AxisAlignedBox(Vector3d(1, 1, 1), Vector3d(3, 3, 3))
box += AxisAlignedBox(Vector3d(2, 2, 2), Vector3d(4, 4, 4))
self.assertTrue(box == AxisAlignedBox(Vector3d(1, 1, 1),
Vector3d(4, 4, 4)))
def test_operator_plus(self):
box = AxisAlignedBox(Vector3d(1, 1, 1), Vector3d(3, 3, 3))
box = box + AxisAlignedBox(Vector3d(-2, -2, -2), Vector3d(4, 4, 4))
self.assertTrue(box == AxisAlignedBox(Vector3d(-2, -2, -2),
Vector3d(4, 4, 4)))
def test_intersects(self):
box = AxisAlignedBox(Vector3d(0, 0, 0), Vector3d(1, 1, 1))
self.assertFalse(box.intersects(AxisAlignedBox(
Vector3d(1.1, 0, 0), Vector3d(2, 1, 1))))
self.assertFalse(box.intersects(AxisAlignedBox(
Vector3d(0, 1.1, 0), Vector3d(1, 2, 1))))
self.assertFalse(box.intersects(AxisAlignedBox(
Vector3d(0, 0, 1.1), Vector3d(1, 1, 2))))
self.assertFalse(box.intersects(AxisAlignedBox(
Vector3d(-1, -1, -1), Vector3d(-0.1, 0, 0))))
self.assertFalse(box.intersects(AxisAlignedBox(
Vector3d(-1, -1, -1), Vector3d(0, -0.1, 0))))
self.assertFalse(box.intersects(AxisAlignedBox(
Vector3d(-1, -1, -1), Vector3d(0, 0, -0.1))))
self.assertTrue(box.intersects(AxisAlignedBox(
Vector3d(0, 0, 0), Vector3d(1, 1, 1))))
def test_contains(self):
box = AxisAlignedBox(Vector3d(0, 0, 0), Vector3d(1, 1, 1))
self.assertTrue(box.contains(Vector3d(0, 0, 0)))
self.assertTrue(box.contains(Vector3d(0, 0, 1)))
self.assertTrue(box.contains(Vector3d(0, 1, 1)))
self.assertTrue(box.contains(Vector3d(1, 1, 1)))
self.assertTrue(box.contains(Vector3d(1, 1, 0)))
self.assertTrue(box.contains(Vector3d(1, 0, 0)))
self.assertTrue(box.contains(Vector3d(0.5, 0.5, 0.5)))
self.assertFalse(box.contains(Vector3d(0, 0, -1)))
self.assertFalse(box.contains(Vector3d(0, -1, -1)))
self.assertFalse(box.contains(Vector3d(-1, -1, -1)))
self.assertFalse(box.contains(Vector3d(-1, -1, 0)))
self.assertFalse(box.contains(Vector3d(-1, 0, 0)))
self.assertFalse(box.contains(Vector3d(0.5, 0.5, -0.5)))
self.assertFalse(box.contains(Vector3d(0.5, -0.5, 0.5)))
self.assertFalse(box.contains(Vector3d(-0.5, 0.5, 0.5)))
self.assertFalse(box.contains(Vector3d(-0.5, -0.5, 0.5)))
self.assertFalse(box.contains(Vector3d(-0.5, -0.5, -0.5)))
self.assertFalse(box.contains(Vector3d(0, 0, -0.01)))
self.assertFalse(box.contains(Vector3d(0, -0.01, 0)))
self.assertFalse(box.contains(Vector3d(-0.01, 0, 0)))
def test_volume2(self):
box = AxisAlignedBox()
self.assertEqual(0.0, box.volume())
box = AxisAlignedBox(Vector3d(-1, -2, -3), Vector3d(1, 2, 3))
self.assertEqual(48.0, box.volume())
def test_intersect(self):
b = AxisAlignedBox(0, 0, 0, 1, 1, 1)
intersect = False
dist = 0
pt = Vector3d()
intersect, dist, pt = b.intersect(Vector3d(-1, 0, 0),
Vector3d(1, 0, 0), 0, 1000)
self.assertTrue(intersect)
self.assertTrue(b.intersect_check(Vector3d(-1, 0, 0),
Vector3d(1, 0, 0), 0, 1000))
self.assertEqual(dist, 1)
self.assertEqual(b.intersect(Vector3d(-1, 0, 0),
Vector3d(1, 0, 0), 0, 1000)[1], dist)
self.assertEqual(pt, Vector3d.ZERO)
(intersect, dist, pt) = b.intersect(Vector3d(1, 0, 0),
Vector3d(-1, 0, 0), 0, 1000)
self.assertTrue(intersect)
self.assertTrue(b.intersect_check(Vector3d(1, 0, 0),
Vector3d(-1, 0, 0), 0, 1000))
self.assertEqual(dist, 0)
self.assertEqual(b.intersect_dist(Vector3d(1, 0, 0),
Vector3d(-1, 0, 0), 0, 1000)[1], dist)
self.assertEqual(pt, Vector3d(1, 0, 0))
(intersect, dist, pt) = b.intersect(Vector3d(2, 2, 0),
Vector3d(-1, -1, 0), 0, 1000)
self.assertTrue(intersect)
self.assertTrue(b.intersect_check(Vector3d(2, 2, 0),
Vector3d(-1, -1, 0), 0, 1000))
self.assertEqual(dist, IGN_SQRT2)
self.assertEqual(b.intersect_dist(Vector3d(2, 2, 0),
Vector3d(-1, -1, 0), 0, 1000)[1], dist)
self.assertEqual(pt, Vector3d(1, 1, 0))
(intersect, dist, pt) = b.intersect(Vector3d(-10, -10, 0),
Vector3d(1, 1, 0), 0, 1000)
self.assertTrue(intersect)
self.assertTrue(b.intersect_check(Vector3d(-10, -10, 0),
Vector3d(1, 1, 0), 0, 1000))
self.assertEqual(dist, math.sqrt(200))
self.assertEqual(b.intersect_dist(Vector3d(-10, -10, 0),
Vector3d(1, 1, 0), 0, 1000)[1], dist)
self.assertEqual(pt, Vector3d.ZERO)
(intersect, dist, pt) = b.intersect(Vector3d(-1, -2, 0),
Vector3d(1, 1, 0), 0, 1000)
self.assertTrue(intersect)
self.assertTrue(b.intersect_check(Vector3d(-1, -2, 0),
Vector3d(1, 1, 0), 0, 1000))
self.assertEqual(dist, 2*IGN_SQRT2)
self.assertEqual(b.intersect_dist(Vector3d(-1, -2, 0),
Vector3d(1, 1, 0), 0, 1000)[1], dist)
self.assertEqual(pt, Vector3d(1, 0, 0))
(intersect, dist, pt) = b.intersect(Vector3d(2, 1, 0),
Vector3d(-1, -1, 0), 0, 1000)
self.assertTrue(intersect)
self.assertTrue(b.intersect_check(Vector3d(2, 1, 0),
Vector3d(-1, -1, 0), 0, 1000))
self.assertEqual(dist, IGN_SQRT2)
self.assertEqual(b.intersect_dist(Vector3d(2, 1, 0),
Vector3d(-1, -1, 0), 0, 1000)[1], dist)
self.assertEqual(pt, Vector3d(1, 0, 0))
(intersect, dist, pt) = b.intersect(Vector3d(0.5, 0.5, 2),
Vector3d(0, 0, -1), 0, 1000)
self.assertTrue(intersect)
self.assertTrue(b.intersect_check(Vector3d(0.5, 0.5, 2),
Vector3d(0, 0, -1), 0, 1000))
self.assertEqual(dist, 1)
self.assertEqual(b.intersect_dist(Vector3d(0.5, 0.5, 2),
Vector3d(0, 0, -1), 0, 1000)[1], dist)
self.assertEqual(pt, Vector3d(0.5, 0.5, 1))
(intersect, dist, pt) = b.intersect(Vector3d(0.5, 0.5, 2),
Vector3d(0, 0, 1), 0, 1000)
self.assertFalse(intersect)
self.assertFalse(b.intersect_check(Vector3d(0.5, 0.5, 2),
Vector3d(0, 0, 1), 0, 1000))
self.assertEqual(pt, Vector3d.ZERO)
(intersect, dist, pt) = b.intersect(Vector3d(-1, -1, 1),
Vector3d(0, 0, -1), 0, 1000)
self.assertFalse(intersect)
self.assertFalse(b.intersect_check(Vector3d(-1, -1, 1),
Vector3d(0, 0, -1), 0, 1000))
self.assertEqual(pt, Vector3d.ZERO)
(intersect, dist, pt) = b.intersect(Vector3d(2, 2, 0),
Vector3d(1, 1, 0), 0, 1000)
self.assertFalse(intersect)
self.assertFalse(b.intersect_check(Vector3d(2, 2, 0),
Vector3d(1, 1, 0), 0, 1000))
self.assertEqual(pt, Vector3d.ZERO)
(intersect, dist, pt) = b.intersect(Vector3d(2, 2, 0),
Vector3d(0, 1, 0), 0, 1000)
self.assertFalse(intersect)
self.assertFalse(b.intersect_check(Vector3d(2, 2, 0),
Vector3d(0, 1, 0), 0, 1000))
self.assertEqual(pt, Vector3d.ZERO)
(intersect, dist, pt) = b.intersect(Vector3d(0.1, 0.1, 200),
Vector3d(0, 0, -1), 0, 100)
self.assertFalse(intersect)
self.assertFalse(b.intersect_check(Vector3d(0.1, 0.1, 200),
Vector3d(0, 0, -1), 0, 100))
self.assertEqual(dist, 0)
self.assertEqual(b.intersect_dist(Vector3d(0.1, 0.1, 200),
Vector3d(0, 0, -1), 0, 100)[1], dist)
self.assertEqual(pt, Vector3d.ZERO)
(intersect, dist, pt) = b.intersect(Vector3d(0.1, 0.1, 1),
Vector3d(0, 0, -1), 1.0, 1000)
self.assertTrue(intersect)
self.assertTrue(b.intersect_check(Vector3d(0.1, 0.1, 1),
Vector3d(0, 0, -1), 1.0, 1000))
self.assertEqual(dist, 0.0)
self.assertEqual(b.intersect_dist(Vector3d(0.1, 0.1, 1),
Vector3d(0, 0, -1), 1.0, 1000)[1], dist)
self.assertEqual(pt, Vector3d(0.1, 0.1, 0))
(intersect, dist, pt) = b.intersect(Vector3d(0.1, 0.1, 1),
Vector3d(0, 0, -1), 1.1, 1000)
self.assertFalse(intersect)
self.assertFalse(b.intersect_check(Vector3d(0.1, 0.1, 1),
Vector3d(0, 0, -1), 1.1, 1000))
self.assertEqual(pt, Vector3d.ZERO)
(intersect, dist, pt) = b.intersect(Vector3d(0.1, 0.1, 10),
Vector3d(0, 0, -1), 1.1, 5)
self.assertFalse(intersect)
self.assertFalse(b.intersect_check(Vector3d(0.1, 0.1, 10),
Vector3d(0, 0, -1), 1.1, 5))
self.assertEqual(dist, 0)
self.assertEqual(b.intersect_dist(Vector3d(0.1, 0.1, 10),
Vector3d(0, 0, -1), 1.1, 5)[1], dist)
self.assertEqual(pt, Vector3d.ZERO)
(intersect, dist, pt) = b.intersect(
Line3d(Vector3d(4, 0, 0.5), Vector3d(0, 10, 0.5)))
self.assertFalse(intersect)
self.assertEqual(dist, 0)
self.assertEqual(pt, Vector3d.ZERO)
(intersect, dist, pt) = b.intersect(
Line3d(Vector3d(1, -1, 1.5), Vector3d(0, 1, 1.5)))
self.assertFalse(intersect)
self.assertEqual(dist, 0)
self.assertEqual(pt, Vector3d.ZERO)
(intersect, dist, pt) = b.intersect(Vector3d(0, 0, 1),
Vector3d(0, 0, -1), 0, 1000)
self.assertTrue(intersect)
self.assertTrue(b.intersect_check(Vector3d(0, 0, 1),
Vector3d(0, 0, -1), 0, 1000))
self.assertEqual(dist, 0)
self.assertEqual(b.intersect_dist(Vector3d(0, 0, 1),
Vector3d(0, 0, -1), 0, 1000)[1], dist)
self.assertEqual(pt, Vector3d(0, 0, 1))
(intersect, dist, pt) = b.intersect(Vector3d(0, 0, 0),
Vector3d(1, 0, 0), 0, 1000)
self.assertTrue(intersect)
self.assertTrue(b.intersect_check(Vector3d(0, 0, 0),
Vector3d(1, 0, 0), 0, 1000))
self.assertEqual(dist, 0)
self.assertEqual(b.intersect_dist(Vector3d(0, 0, 0),
Vector3d(1, 0, 0), 0, 1000)[1], dist)
self.assertEqual(pt, Vector3d.ZERO)
(intersect, dist, pt) = b.intersect(Vector3d(0, 0, 0),
Vector3d(-1, 0, 0), 0, 1000)
self.assertTrue(intersect)
self.assertTrue(b.intersect_check(Vector3d(0, 0, 0),
Vector3d(-1, 0, 0), 0, 1000))
self.assertEqual(dist, 0)
self.assertEqual(b.intersect_dist(Vector3d(0, 0, 0),
Vector3d(-1, 0, 0), 0, 1000)[1], dist)
self.assertEqual(pt, Vector3d.ZERO)
(intersect, dist, pt) = b.intersect(Vector3d(0, 0, 0),
Vector3d(0, 1, 0), 0, 1000)
self.assertTrue(intersect)
self.assertTrue(b.intersect_check(Vector3d(0, 0, 0),
Vector3d(0, 1, 0), 0, 1000))
self.assertEqual(dist, 0)
self.assertEqual(b.intersect_dist(Vector3d(0, 0, 0),
Vector3d(0, 1, 0), 0, 1000)[1], dist)
self.assertEqual(pt, Vector3d.ZERO)
(intersect, dist, pt) = b.intersect(Vector3d(0.5, 0.5, 0.5),
Vector3d(-.707107, 0, -0.707107), 0, 1000)
self.assertTrue(intersect)
self.assertTrue(b.intersect_check(Vector3d(0.5, 0.5, 0.5),
Vector3d(-.707107, 0, -0.707107), 0, 1000))
self.assertAlmostEqual(dist, 0, 1e-5)
self.assertAlmostEqual(b.intersect(Vector3d(0.5, 0.5, 0.5),
Vector3d(-.707107, 0, -0.707107), 0, 1000)[1],
dist,
1e-5)
self.assertEqual(pt, Vector3d(0.5, 0.5, 0.5))
(intersect, dist, pt) = b.intersect(Vector3d(1.2, 0, 0.5),
Vector3d(-0.707107, 0, -0.707107), 0, 1000)
self.assertTrue(intersect)
self.assertTrue(b.intersect_check(Vector3d(1.2, 0, 0.5),
Vector3d(-0.707107, 0, -0.707107), 0, 1000))
self.assertAlmostEqual(dist, 0.28284, delta=1e-5)
self.assertAlmostEqual(b.intersect(Vector3d(1.2, 0, 0.5),
Vector3d(-0.707107, 0, -0.707107), 0, 1000)[1],
dist,
1e-5)
self.assertEqual(pt, Vector3d(1, 0, 0.3))
if __name__ == '__main__':
unittest.main()
| 44.886918
| 90
| 0.532405
| 2,514
| 20,244
| 4.243437
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| 91
| 44.986667
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| 1
| 0.058824
| false
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| 0
| 0
|
0
| 5
|
07e8393e2f32e5cb0052648ab32c7e63c698a175
| 49
|
py
|
Python
|
test/tests/fun.py
|
RangelReale/libpypa
|
e4b3c359d3d2a9ccbea1cbb0a977af8219dd64ef
|
[
"Apache-2.0"
] | 152
|
2015-01-01T02:26:21.000Z
|
2022-03-04T12:18:15.000Z
|
test/tests/fun.py
|
kattkieru/libpypa
|
5e7a4833da515d0cd2d850d51f082000c9e9f651
|
[
"Apache-2.0"
] | 43
|
2015-01-22T00:49:10.000Z
|
2019-02-26T22:42:59.000Z
|
test/tests/fun.py
|
kattkieru/libpypa
|
5e7a4833da515d0cd2d850d51f082000c9e9f651
|
[
"Apache-2.0"
] | 42
|
2015-01-02T11:29:49.000Z
|
2022-03-04T12:18:17.000Z
|
def fun(a, b, k=None, *argc, **kwargs):
pass
| 16.333333
| 39
| 0.55102
| 9
| 49
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| 0.22449
| 49
| 2
| 40
| 24.5
| 0.710526
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0
| 5
|
07eb0df310490af6420a7747b9d4fb0e28d599e5
| 58
|
py
|
Python
|
trinity-external-plugins/examples/peer_count_reporter/peer_count_reporter_plugin/__init__.py
|
renaynay/trinity
|
b85f37281b21c00dce91b7c61ba018788467c270
|
[
"MIT"
] | 3
|
2019-06-17T13:59:20.000Z
|
2021-05-02T22:09:13.000Z
|
trinity-external-plugins/examples/peer_count_reporter/peer_count_reporter_plugin/__init__.py
|
renaynay/trinity
|
b85f37281b21c00dce91b7c61ba018788467c270
|
[
"MIT"
] | null | null | null |
trinity-external-plugins/examples/peer_count_reporter/peer_count_reporter_plugin/__init__.py
|
renaynay/trinity
|
b85f37281b21c00dce91b7c61ba018788467c270
|
[
"MIT"
] | 2
|
2019-12-14T02:52:32.000Z
|
2021-02-18T23:04:44.000Z
|
from .plugin import PeerCountReporterPlugin # noqa: F401
| 29
| 57
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0
| 5
|
ed001d33b7d79b444b92fcd2c8665e40e2298181
| 115
|
py
|
Python
|
todo_list/admin.py
|
SumnanAzadi/django-Todo-app
|
93902cb4f41f5eeda809e16bf1b9e378635e1598
|
[
"MIT"
] | null | null | null |
todo_list/admin.py
|
SumnanAzadi/django-Todo-app
|
93902cb4f41f5eeda809e16bf1b9e378635e1598
|
[
"MIT"
] | null | null | null |
todo_list/admin.py
|
SumnanAzadi/django-Todo-app
|
93902cb4f41f5eeda809e16bf1b9e378635e1598
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from .models import List
# Register your models here.
admin.site.register(List)
| 16.428571
| 32
| 0.791304
| 17
| 115
| 5.352941
| 0.647059
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.13913
| 115
| 6
| 33
| 19.166667
| 0.919192
| 0.226087
| 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
|
ed313ec0eddd3f374e03ed6f238bf3f8ed65effb
| 42
|
py
|
Python
|
tests/test_client.py
|
lendingblock/lb-py
|
56466d1e45013e2817cc0c1db7a20b911a1ac0e4
|
[
"BSD-3-Clause"
] | 1
|
2018-05-13T18:37:06.000Z
|
2018-05-13T18:37:06.000Z
|
tests/test_client.py
|
lendingblock/lb-py
|
56466d1e45013e2817cc0c1db7a20b911a1ac0e4
|
[
"BSD-3-Clause"
] | 2
|
2018-05-14T08:46:33.000Z
|
2018-05-14T08:52:48.000Z
|
tests/test_client.py
|
lendingblock/lb-py
|
56466d1e45013e2817cc0c1db7a20b911a1ac0e4
|
[
"BSD-3-Clause"
] | null | null | null |
def test_countries(lb):
assert lb.url
| 14
| 23
| 0.714286
| 7
| 42
| 4.142857
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.190476
| 42
| 2
| 24
| 21
| 0.852941
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.5
| 1
| 0.5
| false
| 0
| 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
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
ed353c45df6d607508b5533c81ec748b2d1194f5
| 70
|
py
|
Python
|
savecode/threeyears/datacontract/apps/__init__.py
|
Octoberr/swm0920
|
8f05a6b91fc205960edd57f9076facec04f49a1a
|
[
"Apache-2.0"
] | 2
|
2019-05-19T11:54:26.000Z
|
2019-05-19T12:03:49.000Z
|
savecode/threeyears/datacontract/apps/__init__.py
|
Octoberr/swm0920
|
8f05a6b91fc205960edd57f9076facec04f49a1a
|
[
"Apache-2.0"
] | 1
|
2020-11-27T07:55:15.000Z
|
2020-11-27T07:55:15.000Z
|
savecode/threeyears/datacontract/apps/__init__.py
|
Octoberr/swm0920
|
8f05a6b91fc205960edd57f9076facec04f49a1a
|
[
"Apache-2.0"
] | 2
|
2021-09-06T18:06:12.000Z
|
2021-12-31T07:44:43.000Z
|
"""apps"""
# -*- coding:utf-8 -*-
from .appbase import EAppClassify
| 11.666667
| 33
| 0.614286
| 8
| 70
| 5.375
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.016949
| 0.157143
| 70
| 5
| 34
| 14
| 0.711864
| 0.371429
| 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
|
ed84fea19a8c88366806a8c8e48f4efce4215953
| 141
|
py
|
Python
|
siteUpdateNotifier/sun/views.py
|
k00n/site_update_notifier
|
05f3614c4976598166d2be899f79c389fc9d5fe5
|
[
"MIT"
] | null | null | null |
siteUpdateNotifier/sun/views.py
|
k00n/site_update_notifier
|
05f3614c4976598166d2be899f79c389fc9d5fe5
|
[
"MIT"
] | null | null | null |
siteUpdateNotifier/sun/views.py
|
k00n/site_update_notifier
|
05f3614c4976598166d2be899f79c389fc9d5fe5
|
[
"MIT"
] | null | null | null |
from django.shortcuts import render
from django.views import View
class SiteUpdateNotifier(View):
def get(self, request):
pass
| 17.625
| 35
| 0.737589
| 18
| 141
| 5.777778
| 0.777778
| 0.192308
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.198582
| 141
| 7
| 36
| 20.142857
| 0.920354
| 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
|
71ebf3c73b81633d14cd5bf7bd9031122fe94a80
| 80
|
py
|
Python
|
bravado/compat.py
|
analogue/swagger-py
|
ded3a811579ea4e0d1adb3582b90d8d941b7fb17
|
[
"BSD-3-Clause"
] | null | null | null |
bravado/compat.py
|
analogue/swagger-py
|
ded3a811579ea4e0d1adb3582b90d8d941b7fb17
|
[
"BSD-3-Clause"
] | 2
|
2016-12-14T07:33:33.000Z
|
2017-05-11T13:40:48.000Z
|
bravado/compat.py
|
Cloudlock/bravado
|
bacf49ea9d791ec9f564a3a141c77995d2f395b0
|
[
"BSD-3-Clause"
] | null | null | null |
try:
import simplejson as json
except ImportError:
import json # noqa
| 13.333333
| 29
| 0.7
| 10
| 80
| 5.6
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.2625
| 80
| 5
| 30
| 16
| 0.949153
| 0.05
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.75
| 0
| 0.75
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
92d40114d3542b872feaf887c44e15a659169772
| 27
|
py
|
Python
|
local/make_vctk_wav.py
|
ishine/pytorch-kaldi-neural-speaker-embeddings
|
dab06a85c3c759fdacd5b90173eb7ba93f356e88
|
[
"BSD-3-Clause"
] | 141
|
2019-11-13T10:04:00.000Z
|
2022-03-16T13:28:27.000Z
|
local/make_vctk_wav.py
|
swhan9873/pytorch-kaldi-neural-speaker-embeddings
|
a6196c5c580be0f26cd31ce9394e4aa78a9ed315
|
[
"BSD-3-Clause"
] | 6
|
2020-02-04T13:10:34.000Z
|
2021-12-21T13:18:29.000Z
|
local/make_vctk_wav.py
|
swhan9873/pytorch-kaldi-neural-speaker-embeddings
|
a6196c5c580be0f26cd31ce9394e4aa78a9ed315
|
[
"BSD-3-Clause"
] | 30
|
2019-11-10T06:54:34.000Z
|
2022-02-13T01:36:48.000Z
|
import os
import sys
path
| 5.4
| 10
| 0.777778
| 5
| 27
| 4.2
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.222222
| 27
| 4
| 11
| 6.75
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 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
|
92fd16e80b9d1ce24accaf81c5836cdd510d048c
| 452
|
py
|
Python
|
pygromos/files/blocks/__init__.py
|
SalomeRonja/PyGromosTools
|
5a17740a0ec634b8b591ef74d8a420e3fd3e38ba
|
[
"MIT"
] | 13
|
2021-03-17T09:29:37.000Z
|
2022-01-14T20:42:16.000Z
|
pygromos/files/blocks/__init__.py
|
SchroederB/PyGromosTools
|
c31c38455a849c864241a962efee9e6575f27b06
|
[
"MIT"
] | 185
|
2021-03-03T14:24:55.000Z
|
2022-03-31T18:39:29.000Z
|
pygromos/files/blocks/__init__.py
|
SchroederB/PyGromosTools
|
c31c38455a849c864241a962efee9e6575f27b06
|
[
"MIT"
] | 13
|
2021-03-03T14:18:06.000Z
|
2022-02-17T09:48:55.000Z
|
from pygromos.files.blocks import coord_blocks as coords
from pygromos.files.blocks import imd_blocks as imd
from pygromos.files.blocks import topology_blocks as topo
from pygromos.files.blocks import replica_exchange_blocks as repdat
from pygromos.files.blocks import energy_blocks as ene
from pygromos.files.blocks._general_blocks import TITLE, TIMESTEP, TRAJ
# forward declarations
TITLE:TITLE = TITLE
TIMESTEP:TIMESTEP = TIMESTEP
TRAJ:TRAJ = TRAJ
| 37.666667
| 71
| 0.84292
| 67
| 452
| 5.567164
| 0.328358
| 0.193029
| 0.273458
| 0.369973
| 0.38874
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.108407
| 452
| 12
| 72
| 37.666667
| 0.925558
| 0.044248
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
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