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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
122a202f54b054489c734cac7176644851a8bea3
| 84
|
py
|
Python
|
notifyker/keras/__init__.py
|
Qwinpin/NotifyKer
|
18a82f37dbab8c1c526a49285403e3fba25b72a0
|
[
"MIT"
] | 11
|
2019-01-31T17:12:20.000Z
|
2020-04-22T20:23:58.000Z
|
notifyker/keras/__init__.py
|
Qwinpin/NotifyKer
|
18a82f37dbab8c1c526a49285403e3fba25b72a0
|
[
"MIT"
] | null | null | null |
notifyker/keras/__init__.py
|
Qwinpin/NotifyKer
|
18a82f37dbab8c1c526a49285403e3fba25b72a0
|
[
"MIT"
] | null | null | null |
from .callback_base import CallbackBase
from .callback_simple import CallbackSimple
| 28
| 43
| 0.880952
| 10
| 84
| 7.2
| 0.7
| 0.333333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.095238
| 84
| 2
| 44
| 42
| 0.947368
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
124f466537c9bf7152a03afa0443e720b16cc979
| 36
|
py
|
Python
|
petra_viewer/data_sources/sardana/__init__.py
|
yamedvedya/data_viewer
|
c6238b71edcf0178ebe8ab8f9bf6e56e41cd4916
|
[
"MIT"
] | null | null | null |
petra_viewer/data_sources/sardana/__init__.py
|
yamedvedya/data_viewer
|
c6238b71edcf0178ebe8ab8f9bf6e56e41cd4916
|
[
"MIT"
] | null | null | null |
petra_viewer/data_sources/sardana/__init__.py
|
yamedvedya/data_viewer
|
c6238b71edcf0178ebe8ab8f9bf6e56e41cd4916
|
[
"MIT"
] | null | null | null |
# Created by matveyev at 13.08.2021
| 18
| 35
| 0.75
| 7
| 36
| 3.857143
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.266667
| 0.166667
| 36
| 1
| 36
| 36
| 0.633333
| 0.916667
| 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
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
125afe6ce6eb5e89ad625b45342ed70452d34369
| 2,022
|
py
|
Python
|
tests/test_class/raises_class.py
|
jepperaskdk/doctest
|
b084223b971c4f52e8a97f7623729d8c256c10e4
|
[
"MIT"
] | 1
|
2022-02-25T14:30:57.000Z
|
2022-02-25T14:30:57.000Z
|
tests/test_class/raises_class.py
|
jepperaskdk/doctest
|
b084223b971c4f52e8a97f7623729d8c256c10e4
|
[
"MIT"
] | 13
|
2021-05-23T06:59:45.000Z
|
2021-10-14T06:10:10.000Z
|
tests/test_class/raises_class.py
|
jepperaskdk/pydoctest
|
b084223b971c4f52e8a97f7623729d8c256c10e4
|
[
"MIT"
] | null | null | null |
class RaisesClass():
def func_with_raise(self) -> None:
"""
Raises:
RuntimeError: [description]
ValueError: [description]
IndexError: [description]
"""
if 2 == 3:
raise RuntimeError()
if 2 == 4:
raise ValueError()
if 2 == 5:
raise IndexError()
def func_with_raise_and_args(self) -> None:
"""
Raises:
RuntimeError: [description]
ValueError: [description]
IndexError: [description]
"""
if 2 == 3:
raise RuntimeError()
if 2 == 4:
raise ValueError()
if 2 == 5:
raise IndexError()
def func_with_raise_and_args_and_return(self, a: int, b: float) -> bool:
"""[summary]
Args:
a (int): [description]
b (float): [description]
Raises:
RuntimeError: [description]
ValueError: [description]
IndexError: [description]
Returns:
bool: [description]
"""
if 2 == 3:
raise RuntimeError()
if 2 == 4:
raise ValueError()
if 2 == 5:
raise IndexError()
return True
def func_with_missing_raise(self) -> None:
"""
"""
if 2 == 5:
raise IndexError()
def func_with_incorrect_raise(self) -> None:
"""[summary]
Raises:
RuntimeError: [description]
IndexError: [description]
"""
if 2 == 4:
raise ValueError()
if 2 == 5:
raise IndexError()
def func_with_raise_count_mismatch(self) -> None:
"""[summary]
Raises:
RuntimeError: [description]
IndexError: [description]
"""
if 2 == 3:
raise RuntimeError()
if 2 == 4:
raise ValueError()
if 2 == 5:
raise IndexError()
| 21.741935
| 76
| 0.464392
| 173
| 2,022
| 5.300578
| 0.190751
| 0.049073
| 0.071974
| 0.058888
| 0.802617
| 0.802617
| 0.802617
| 0.725191
| 0.692475
| 0.692475
| 0
| 0.026042
| 0.430267
| 2,022
| 93
| 77
| 21.741935
| 0.769965
| 0.285856
| 0
| 0.789474
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.157895
| false
| 0
| 0
| 0
| 0.210526
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 6
|
d604ece38bb7ed564040265560c96f49a61bf4ed
| 183
|
py
|
Python
|
aos_sw_api/enums/time_window_type.py
|
KennethSoelberg/AOS-Switch
|
a5a2c54917bbb69fab044bf0b313bcf795642d30
|
[
"MIT"
] | null | null | null |
aos_sw_api/enums/time_window_type.py
|
KennethSoelberg/AOS-Switch
|
a5a2c54917bbb69fab044bf0b313bcf795642d30
|
[
"MIT"
] | 1
|
2020-12-24T15:36:56.000Z
|
2021-01-28T23:19:57.000Z
|
aos_sw_api/enums/time_window_type.py
|
KennethSoelberg/AOS-Switch
|
a5a2c54917bbb69fab044bf0b313bcf795642d30
|
[
"MIT"
] | 1
|
2021-02-16T23:26:28.000Z
|
2021-02-16T23:26:28.000Z
|
from enum import Enum
class TimeWindowTypeEnum(str, Enum):
TW_POSITIVE_TIME_WINDOW = "TW_POSITIVE_TIME_WINDOW"
TW_PLUS_OR_MINUS_TIME_WINDOW = "TW_PLUS_OR_MINUS_TIME_WINDOW"
| 26.142857
| 65
| 0.819672
| 28
| 183
| 4.785714
| 0.464286
| 0.298507
| 0.268657
| 0.298507
| 0.641791
| 0.41791
| 0.41791
| 0.41791
| 0
| 0
| 0
| 0
| 0.125683
| 183
| 6
| 66
| 30.5
| 0.8375
| 0
| 0
| 0
| 0
| 0
| 0.278689
| 0.278689
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.25
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 6
|
d6160b2fbc025c55f183ccea66b4e72394d161d1
| 214
|
py
|
Python
|
api/app/utils/mongo_users_utils.py
|
crtarsorg/istinomer-factchecker
|
eb0639f526fc2b75bf4628dcff9080a030f34f38
|
[
"CC0-1.0"
] | 2
|
2016-07-20T17:49:22.000Z
|
2016-07-21T12:31:26.000Z
|
api/app/utils/mongo_users_utils.py
|
crtarsorg/istinomer-factchecker
|
eb0639f526fc2b75bf4628dcff9080a030f34f38
|
[
"CC0-1.0"
] | null | null | null |
api/app/utils/mongo_users_utils.py
|
crtarsorg/istinomer-factchecker
|
eb0639f526fc2b75bf4628dcff9080a030f34f38
|
[
"CC0-1.0"
] | 9
|
2016-07-08T08:56:29.000Z
|
2019-06-26T11:59:30.000Z
|
class MongoUsersUtils:
def __init__(self, mongo):
self.mongo = mongo
self.collection_name = "users"
def save(self, user):
return self.mongo.db[self.collection_name].insert(user)
| 19.454545
| 63
| 0.649533
| 26
| 214
| 5.115385
| 0.538462
| 0.203008
| 0.270677
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.242991
| 214
| 10
| 64
| 21.4
| 0.820988
| 0
| 0
| 0
| 0
| 0
| 0.023585
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0.166667
| 0.666667
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 6
|
d61765463b7185039b6dd5e2a0b3452fb297323e
| 90
|
py
|
Python
|
test/tests/float.py
|
kevinxucs/pyston
|
bdb87c1706ac74a0d15d9bc2bae53798678a5f14
|
[
"Apache-2.0"
] | 1
|
2015-11-06T03:39:51.000Z
|
2015-11-06T03:39:51.000Z
|
test/tests/float.py
|
kevinxucs/pyston
|
bdb87c1706ac74a0d15d9bc2bae53798678a5f14
|
[
"Apache-2.0"
] | null | null | null |
test/tests/float.py
|
kevinxucs/pyston
|
bdb87c1706ac74a0d15d9bc2bae53798678a5f14
|
[
"Apache-2.0"
] | null | null | null |
print 123542598.12938712938192831293812983
f = 1.0
print f
print float(2)
# print f - 2
| 11.25
| 42
| 0.744444
| 14
| 90
| 4.785714
| 0.571429
| 0.179104
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.527027
| 0.177778
| 90
| 7
| 43
| 12.857143
| 0.378378
| 0.122222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.75
| 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
| 1
|
0
| 6
|
c3830fc4a1262c462b34898c8487f1648ff6f66f
| 21
|
py
|
Python
|
Engine/Extras/Maya_AnimationRiggingTools/ARTv1/MayaTools/General/Scripts/Modules/uExport/__init__.py
|
windystrife/UnrealEngine_NVIDIAGameWork
|
b50e6338a7c5b26374d66306ebc7807541ff815e
|
[
"MIT"
] | 42
|
2018-03-03T06:08:59.000Z
|
2022-03-12T07:14:41.000Z
|
Engine/Extras/Maya_AnimationRiggingTools/ARTv1/MayaTools/General/Scripts/Modules/uExport/__init__.py
|
windystrife/UnrealEngine_NVIDIAGameWork
|
b50e6338a7c5b26374d66306ebc7807541ff815e
|
[
"MIT"
] | 1
|
2018-03-04T20:00:36.000Z
|
2018-10-10T01:38:37.000Z
|
Engine/Extras/Maya_AnimationRiggingTools/ARTv1/MayaTools/General/Scripts/Modules/uExport/__init__.py
|
windystrife/UnrealEngine_NVIDIAGameWork
|
b50e6338a7c5b26374d66306ebc7807541ff815e
|
[
"MIT"
] | 13
|
2018-03-02T01:54:50.000Z
|
2022-02-17T22:54:25.000Z
|
from uExport import *
| 21
| 21
| 0.809524
| 3
| 21
| 5.666667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 21
| 1
| 21
| 21
| 0.944444
| 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
| 1
| 0
|
0
| 6
|
7f18b652833d528778b4dc6fc98364b62b511bdc
| 10,116
|
py
|
Python
|
datalayerprovider/nodes.py
|
bostroemc/rfs-parts-db
|
d49231239c3041daf40db35eb665cb4b983a9516
|
[
"MIT"
] | null | null | null |
datalayerprovider/nodes.py
|
bostroemc/rfs-parts-db
|
d49231239c3041daf40db35eb665cb4b983a9516
|
[
"MIT"
] | null | null | null |
datalayerprovider/nodes.py
|
bostroemc/rfs-parts-db
|
d49231239c3041daf40db35eb665cb4b983a9516
|
[
"MIT"
] | null | null | null |
# MIT License
#
# Copyright (c) 2020, Bosch Rexroth AG
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
import datalayer.clib
from datalayer.provider_node import ProviderNodeCallbacks, NodeCallback
from datalayer.variant import Result, Variant
import json
# import time
import os
# import sqlite3
from sqlite3 import Error
from jsonschema import validate
import datalayerprovider.utils
# add part to database; required format: {"description": "", "profile":{"dist": [], "vel": [], "accel":[]}}
class Push:
_value: str = ""
id : int = 0
schema = {
"type" : "object",
"properties" : {
"description" : {"type" : "string"},
"profile" : {"type" : "string"},
},
"required" : ["profile"]
}
def __init__(self, db):
self.cbs = ProviderNodeCallbacks(
self.__on_create,
self.__on_remove,
self.__on_browse,
self.__on_read,
self.__on_write,
self.__on_metadata
)
self.db = db
def __on_create(self, userdata: datalayer.clib.userData_c_void_p, address: str, data: Variant, cb: NodeCallback):
self._value
cb(Result(Result.OK), None)
def __on_remove(self, userdata: datalayer.clib.userData_c_void_p, address: str, cb: NodeCallback):
# Not implemented because no wildcard is registered
cb(Result(Result.UNSUPPORTED), None)
def __on_browse(self, userdata: datalayer.clib.userData_c_void_p, address: str, cb: NodeCallback):
_data = Variant()
_data.set_array_string([])
cb(Result(Result.OK), _data)
def __on_read(self, userdata: datalayer.clib.userData_c_void_p, address: str, data: Variant, cb: NodeCallback):
_data = Variant()
conn = datalayerprovider.utils.initialize(self.db)
if conn:
_data.set_string(json.dumps(datalayerprovider.utils.fetch(conn, 20, 0)))
conn.close()
cb(Result(Result.OK), _data)
def __on_write(self, userdata: datalayer.clib.userData_c_void_p, address: str, data: Variant, cb: NodeCallback):
_description = ""
_profile = {}
_test = json.loads(data.get_string())
if "description" in _test:
_description = _test["description"]
if "profile" in _test:
_profile = _test["profile"]
# _isValid = validate(_test, self.schema)
conn = datalayerprovider.utils.initialize(self.db)
if conn: # and _isValid:
datalayerprovider.utils.add_part(conn, _description, _profile)
conn.close()
cb(Result(Result.OK), None)
def __on_metadata(self, userdata: datalayer.clib.userData_c_void_p, address: str, cb: NodeCallback):
print("__on_metadata")
cb(Result(Result.OK), None)
# update part in database; required format: {"id": 1, "description": "", "profile":{"dist": [], "vel": [], "accel":[]}}
class Update:
_value: str = ""
id : int = 0
schema = {
"type" : "object",
"properties" : {
"description" : {"type" : "string"},
"profile" : {"type" : "string"},
},
"required" : ["profile"]
}
def __init__(self, db):
self.cbs = ProviderNodeCallbacks(
self.__on_create,
self.__on_remove,
self.__on_browse,
self.__on_read,
self.__on_write,
self.__on_metadata
)
self.db = db
def __on_create(self, userdata: datalayer.clib.userData_c_void_p, address: str, data: Variant, cb: NodeCallback):
self._value
cb(Result(Result.OK), None)
def __on_remove(self, userdata: datalayer.clib.userData_c_void_p, address: str, cb: NodeCallback):
# Not implemented because no wildcard is registered
cb(Result(Result.UNSUPPORTED), None)
def __on_browse(self, userdata: datalayer.clib.userData_c_void_p, address: str, cb: NodeCallback):
_data = Variant()
_data.set_array_string([])
cb(Result(Result.OK), _data)
def __on_read(self, userdata: datalayer.clib.userData_c_void_p, address: str, data: Variant, cb: NodeCallback):
_data = Variant()
conn = datalayerprovider.utils.initialize(self.db)
if conn:
_data.set_string(json.dumps(datalayerprovider.utils.fetch(conn, 20, 0)))
conn.close()
cb(Result(Result.OK), _data)
def __on_write(self, userdata: datalayer.clib.userData_c_void_p, address: str, data: Variant, cb: NodeCallback):
_id = 0
_description = ""
_profile = {}
_test = json.loads(data.get_string())
if "id" in _test:
_id = _test["id"]
if "description" in _test:
_description = _test["description"]
if "profile" in _test:
_profile = _test["profile"]
conn = datalayerprovider.utils.initialize(self.db)
if conn and _id:
datalayerprovider.utils.update_part(conn, _id, _description, _profile)
conn.close()
cb(Result(Result.OK), None)
def __on_metadata(self, userdata: datalayer.clib.userData_c_void_p, address: str, cb: NodeCallback):
print("__on_metadata")
cb(Result(Result.OK), None)
# retrieve database and write to file (verbose text format)
class Archive:
_value: str = ""
def __init__(self, db):
self.cbs = ProviderNodeCallbacks(
self.__on_create,
self.__on_remove,
self.__on_browse,
self.__on_read,
self.__on_write,
self.__on_metadata
)
self.db = db
def __on_create(self, userdata: datalayer.clib.userData_c_void_p, address: str, data: Variant, cb: NodeCallback):
self.data
cb(Result(Result.OK), None)
def __on_remove(self, userdata: datalayer.clib.userData_c_void_p, address: str, cb: NodeCallback):
# Not implemented because no wildcard is registered
cb(Result(Result.UNSUPPORTED), None)
def __on_browse(self, userdata: datalayer.clib.userData_c_void_p, address: str, cb: NodeCallback):
_data = Variant()
_data.set_array_string([])
cb(Result(Result.OK), _data)
def __on_read(self, userdata: datalayer.clib.userData_c_void_p, address: str, data: Variant, cb: NodeCallback):
_data = Variant()
_data.set_string(self._value)
cb(Result(Result.OK), _data)
def __on_write(self, userdata: datalayer.clib.userData_c_void_p, address: str, data: Variant, cb: NodeCallback):
_data = Variant()
print("rfs-parts-db attempting to write file")
conn = datalayerprovider.utils.initialize(self.db)
if conn and int(data.get_string()) == 1:
self._value = json.dumps(datalayerprovider.utils.archive(conn, "/media/sda1/BACKUP_RFS.txt")) # prev. "/media/mmcblk1p1/BACKUP_RFS.txt"
_data.set_string(self._value)
if conn:
conn.close()
cb(Result(Result.OK), _data)
def __on_metadata(self, userdata: datalayer.clib.userData_c_void_p, address: str, cb: NodeCallback):
cb(Result(Result.OK), None)
# read file in verbose text format and overwrite database
class Restore:
_value: str = ""
def __init__(self, db):
self.cbs = ProviderNodeCallbacks(
self.__on_create,
self.__on_remove,
self.__on_browse,
self.__on_read,
self.__on_write,
self.__on_metadata
)
self.db = db
def __on_create(self, userdata: datalayer.clib.userData_c_void_p, address: str, data: Variant, cb: NodeCallback):
self.data
cb(Result(Result.OK), None)
def __on_remove(self, userdata: datalayer.clib.userData_c_void_p, address: str, cb: NodeCallback):
# Not implemented because no wildcard is registered
cb(Result(Result.UNSUPPORTED), None)
def __on_browse(self, userdata: datalayer.clib.userData_c_void_p, address: str, cb: NodeCallback):
_data = Variant()
_data.set_array_string([])
cb(Result(Result.OK), _data)
def __on_read(self, userdata: datalayer.clib.userData_c_void_p, address: str, data: Variant, cb: NodeCallback):
_data = Variant()
_data.set_string(self._value)
cb(Result(Result.OK), _data)
def __on_write(self, userdata: datalayer.clib.userData_c_void_p, address: str, data: Variant, cb: NodeCallback):
_data = Variant()
conn = datalayerprovider.utils.initialize(self.db)
if conn and int(data.get_string()) == 1:
self._value = json.dumps(datalayerprovider.utils.restore(conn, "/media/sda1/BACKUP_RFS.txt")) # prev. "/media/mmcblk1p1/BACKUP_RFS.txt"
_data.set_string(self._value)
if conn:
conn.close()
cb(Result(Result.OK), _data)
def __on_metadata(self, userdata: datalayer.clib.userData_c_void_p, address: str, cb: NodeCallback):
cb(Result(Result.OK), None)
| 35.745583
| 150
| 0.640273
| 1,229
| 10,116
| 4.996745
| 0.158666
| 0.052923
| 0.082071
| 0.097704
| 0.75916
| 0.75916
| 0.747761
| 0.747761
| 0.747761
| 0.716496
| 0
| 0.003171
| 0.251878
| 10,116
| 283
| 151
| 35.745583
| 0.808272
| 0.175366
| 0
| 0.847368
| 0
| 0
| 0.040568
| 0.00626
| 0
| 0
| 0
| 0
| 0
| 1
| 0.147368
| false
| 0
| 0.042105
| 0
| 0.252632
| 0.015789
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 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
| 6
|
7f1c4f141c9d2ea8f3fd3f9b5081bae4ba61b2e6
| 129
|
py
|
Python
|
tfdet/model/__init__.py
|
Burf/tfdetection
|
658e67d6db71e04bda2965d5a5d506d304ab8ad6
|
[
"Apache-2.0"
] | null | null | null |
tfdet/model/__init__.py
|
Burf/tfdetection
|
658e67d6db71e04bda2965d5a5d506d304ab8ad6
|
[
"Apache-2.0"
] | null | null | null |
tfdet/model/__init__.py
|
Burf/tfdetection
|
658e67d6db71e04bda2965d5a5d506d304ab8ad6
|
[
"Apache-2.0"
] | null | null | null |
from . import backbone
from . import detector
from . import head
from . import neck
from . import postprocess
from . import train
| 21.5
| 25
| 0.775194
| 18
| 129
| 5.555556
| 0.444444
| 0.6
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.178295
| 129
| 6
| 26
| 21.5
| 0.943396
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
6141bd68401ea6d197fa67fc917370db40652293
| 71
|
py
|
Python
|
flask_application/profiles/__init__.py
|
dbdeadbeat/refurence
|
29e2b56751e6f69b0722ddc73c32a09e06c3c789
|
[
"MIT"
] | 4
|
2015-01-15T06:24:47.000Z
|
2015-10-28T18:36:53.000Z
|
flask_application/profiles/__init__.py
|
dbdeadbeat/refurence
|
29e2b56751e6f69b0722ddc73c32a09e06c3c789
|
[
"MIT"
] | 7
|
2015-01-21T02:31:40.000Z
|
2022-03-11T23:12:43.000Z
|
flask_application/profiles/__init__.py
|
dbdeadbeat/refurence
|
29e2b56751e6f69b0722ddc73c32a09e06c3c789
|
[
"MIT"
] | 2
|
2015-01-14T02:01:34.000Z
|
2015-01-14T06:52:01.000Z
|
from controllers import *
from models import *
from constants import *
| 17.75
| 25
| 0.788732
| 9
| 71
| 6.222222
| 0.555556
| 0.357143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.169014
| 71
| 3
| 26
| 23.666667
| 0.949153
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
61434bc1fb6b4169fda378d01033d8fb08b09b74
| 6,725
|
py
|
Python
|
tests/test_command.py
|
ppq200/sqlcsv
|
15b0cdcb924199bdbe2b6ed8ebf45397e486f244
|
[
"MIT"
] | 12
|
2018-11-27T04:17:40.000Z
|
2022-01-07T23:28:14.000Z
|
tests/test_command.py
|
ppq200/sqlcsv
|
15b0cdcb924199bdbe2b6ed8ebf45397e486f244
|
[
"MIT"
] | 1
|
2021-10-05T03:06:41.000Z
|
2021-10-05T04:12:15.000Z
|
tests/test_command.py
|
ppq200/sqlcsv
|
15b0cdcb924199bdbe2b6ed8ebf45397e486f244
|
[
"MIT"
] | 2
|
2020-02-04T18:46:28.000Z
|
2021-10-04T08:59:22.000Z
|
from io import StringIO
from unittest.mock import patch
from pytest import fixture, raises
from sqlalchemy import create_engine
import sqlcsv.command
SQL_CREATE_TABLE = '''
CREATE TABLE testtable (
id INTEGER PRIMARY KEY AUTOINCREMENT,
int_col INTEGER,
real_col REAL,
text_col TEXT
);
'''
SQL_DROP_TABLE = '''
DROP TABLE testtable;
'''
SQL_SELECT_ALL = '''
SELECT * FROM testtable;
'''
SQL_INSERT_ONE = '''
INSERT INTO testtable(int_col, real_col, text_col)
VALUES (1, 1.0, 'aaa');
'''
SQL_INSERT_PLACEHOLDER = '''
INSERT INTO testtable(int_col, real_col, text_col)
VALUES (?, ?, ?);
'''
@fixture
def db():
engine = create_engine('sqlite://')
engine.execute(SQL_CREATE_TABLE)
with patch('sqlcsv.command.create_engine', lambda any_url: engine):
yield engine
engine.execute(SQL_DROP_TABLE)
@fixture
def command_args():
return dict(
db_url='sqlite://',
pre_sql=None,
post_sql=None,
transaction=False,
header=True,
dialect=dict(
lineterminator='\n',
),
)
def test_connect_exec(db, command_args):
cmd = sqlcsv.command.Command(**command_args)
with cmd._connect_exec() as conn:
result = conn.execute(SQL_SELECT_ALL).fetchall()
assert result == []
def test_connect_exec_without_db_url(db, command_args):
command_args['db_url'] = None
cmd = sqlcsv.command.Command(**command_args)
with raises(ValueError):
with cmd._connect_exec():
pass
def test_connect_exec_with_transaction(db, command_args):
command_args['transaction'] = True
cmd = sqlcsv.command.Command(**command_args)
try:
with cmd._connect_exec() as conn:
conn.execute(SQL_INSERT_ONE)
raise Exception('An error')
except Exception:
pass
result = db.execute(SQL_SELECT_ALL).fetchall()
assert result == []
def test_connect_exec_without_transaction(db, command_args):
cmd = sqlcsv.command.Command(**command_args)
try:
with cmd._connect_exec() as conn:
conn.execute(SQL_INSERT_ONE)
raise Exception('An error')
except Exception:
pass
result = db.execute(SQL_SELECT_ALL).fetchall()
assert result == [(1, 1, 1.0, 'aaa')]
def test_connect_exec_pre_sql(db, command_args):
command_args['pre_sql'] = SQL_INSERT_ONE
cmd = sqlcsv.command.Command(**command_args)
with cmd._connect_exec() as conn:
result = conn.execute(SQL_SELECT_ALL).fetchall()
assert result == [(1, 1, 1.0, 'aaa')]
def test_connect_exec_post_sql(db, command_args):
command_args['post_sql'] = SQL_INSERT_ONE
cmd = sqlcsv.command.Command(**command_args)
with cmd._connect_exec() as conn:
result = conn.execute(SQL_SELECT_ALL).fetchall()
assert result == []
result = db.execute(SQL_SELECT_ALL).fetchall()
assert result == [(1, 1, 1.0, 'aaa')]
def test_select(db, command_args):
db.execute(SQL_INSERT_ONE)
outfile = StringIO()
cmd = sqlcsv.command.Command(**command_args)
cmd.select(SQL_SELECT_ALL, outfile)
outfile.seek(0)
assert outfile.read() == 'id,int_col,real_col,text_col\n1,1,1.0,aaa\n'
def test_select_no_header(db, command_args):
db.execute(SQL_INSERT_ONE)
outfile = StringIO()
command_args['header'] = False
cmd = sqlcsv.command.Command(**command_args)
cmd.select(SQL_SELECT_ALL, outfile)
outfile.seek(0)
assert outfile.read() == '1,1,1.0,aaa\n'
def test_insert(db, command_args):
infile = StringIO('int_col,real_col,text_col\n1,1.0,aaa\n')
types = [int, float, str]
nullables = [False, False, False]
chunk_size = None
cmd = sqlcsv.command.Command(**command_args)
cmd.insert(SQL_INSERT_PLACEHOLDER, infile, types, nullables, chunk_size)
result = db.execute(SQL_SELECT_ALL).fetchall()
assert result == [(1, 1, 1.0, 'aaa')]
def test_insert_no_header(db, command_args):
infile = StringIO('1,1.0,aaa\n')
types = [int, float, str]
nullables = [False, False, False]
chunk_size = None
command_args['header'] = False
cmd = sqlcsv.command.Command(**command_args)
cmd.insert(SQL_INSERT_PLACEHOLDER, infile, types, nullables, chunk_size)
result = db.execute(SQL_SELECT_ALL).fetchall()
assert result == [(1, 1, 1.0, 'aaa')]
def test_insert_nullable(db, command_args):
infile = StringIO('int_col,real_col,text_col\n,,\n')
types = [int, float, str]
nullables = [True, True, True]
chunk_size = None
cmd = sqlcsv.command.Command(**command_args)
cmd.insert(SQL_INSERT_PLACEHOLDER, infile, types, nullables, chunk_size)
result = db.execute(SQL_SELECT_ALL).fetchall()
assert result == [(1, None, None, None)]
def test_insert_chunk_size(db, command_args):
infile = StringIO('''int_col,real_col,text_col
1,1.0,aaa
2,2.0,bbb
3,3.0,ccc
4,4.0,ddd
5,5.0,eee
'''.replace(' ', '').strip())
types = [int, float, str]
nullables = [False, False, False]
chunk_size = 2
cmd = sqlcsv.command.Command(**command_args)
cmd.insert(SQL_INSERT_PLACEHOLDER, infile, types, nullables, chunk_size)
result = db.execute(SQL_SELECT_ALL).fetchall()
assert result == [
(1, 1, 1.0, 'aaa'),
(2, 2, 2.0, 'bbb'),
(3, 3, 3.0, 'ccc'),
(4, 4, 4.0, 'ddd'),
(5, 5, 5.0, 'eee'),
]
def test_insert_chunk_size_contaminated(db, command_args):
infile = StringIO('''int_col,real_col,text_col
1,1.0,aaa
2,2.0,bbb
3,3.0,ccc
xxx,4.0,ddd
5,5.0,eee
'''.replace(' ', '').strip())
types = [int, float, str]
nullables = [False, False, False]
chunk_size = 2
cmd = sqlcsv.command.Command(**command_args)
try:
cmd.insert(SQL_INSERT_PLACEHOLDER, infile, types, nullables, chunk_size)
except ValueError:
pass
result = db.execute(SQL_SELECT_ALL).fetchall()
assert result == [
(1, 1, 1.0, 'aaa'),
(2, 2, 2.0, 'bbb'),
]
def test_insert_chunk_size_contaminated_with_transaction(db, command_args):
infile = StringIO('''int_col,real_col,text_col
1,1.0,aaa
2,2.0,bbb
3,3.0,ccc
xxx,4.0,ddd
5,5.0,eee
'''.replace(' ', '').strip())
types = [int, float, str]
nullables = [False, False, False]
chunk_size = 2
command_args['transaction'] = True
cmd = sqlcsv.command.Command(**command_args)
try:
cmd.insert(SQL_INSERT_PLACEHOLDER, infile, types, nullables, chunk_size)
except ValueError:
pass
result = db.execute(SQL_SELECT_ALL).fetchall()
assert result == []
| 27.337398
| 80
| 0.639703
| 918
| 6,725
| 4.458606
| 0.1122
| 0.096751
| 0.043978
| 0.020523
| 0.814317
| 0.781578
| 0.741266
| 0.724408
| 0.7183
| 0.711947
| 0
| 0.021868
| 0.224833
| 6,725
| 245
| 81
| 27.44898
| 0.763284
| 0
| 0
| 0.647959
| 0
| 0
| 0.15316
| 0.03197
| 0
| 0
| 0
| 0
| 0.071429
| 1
| 0.081633
| false
| 0.02551
| 0.02551
| 0.005102
| 0.112245
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 6
|
619d253c38d02d6e28920205c51b1add0fed04f3
| 307
|
py
|
Python
|
tests/test_puzzle10.py
|
harbenml/Advent_of_Code_2020
|
b86596416a90980483f2d1b4ae507ad783cb6296
|
[
"MIT"
] | 1
|
2020-12-10T20:01:04.000Z
|
2020-12-10T20:01:04.000Z
|
tests/test_puzzle10.py
|
harbenml/advent-of-code-2020
|
b86596416a90980483f2d1b4ae507ad783cb6296
|
[
"MIT"
] | null | null | null |
tests/test_puzzle10.py
|
harbenml/advent-of-code-2020
|
b86596416a90980483f2d1b4ae507ad783cb6296
|
[
"MIT"
] | null | null | null |
from puzzles.puzzle10 import load_data
from puzzles.puzzle10 import solve_part_1
from puzzles.puzzle10 import solve_part_2
filename = "./data/test_data10.txt"
X = load_data(filename)
def test_solve_part_1():
assert solve_part_1(X) == 220
def test_solve_part_2():
assert solve_part_2(X) == 4410
| 20.466667
| 41
| 0.771987
| 51
| 307
| 4.313725
| 0.372549
| 0.245455
| 0.259091
| 0.340909
| 0.309091
| 0.309091
| 0
| 0
| 0
| 0
| 0
| 0.079545
| 0.140065
| 307
| 14
| 42
| 21.928571
| 0.753788
| 0
| 0
| 0
| 0
| 0
| 0.071661
| 0.071661
| 0
| 0
| 0
| 0
| 0.222222
| 1
| 0.222222
| false
| 0
| 0.333333
| 0
| 0.555556
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
61a50590a16edd82fdb9bcbd4b9dea9a577121b0
| 95
|
py
|
Python
|
simsam/__init__.py
|
erooke/Simsam
|
e89e9a6c6d87ca77d764e84f8c381b52ee0e504d
|
[
"BSD-3-Clause"
] | 4
|
2021-05-09T10:11:48.000Z
|
2021-08-02T19:53:55.000Z
|
simsam/__init__.py
|
erooke/Simsam
|
e89e9a6c6d87ca77d764e84f8c381b52ee0e504d
|
[
"BSD-3-Clause"
] | 1
|
2021-08-23T07:13:12.000Z
|
2021-08-23T07:13:12.000Z
|
simsam/__init__.py
|
erooke/Simsam
|
e89e9a6c6d87ca77d764e84f8c381b52ee0e504d
|
[
"BSD-3-Clause"
] | 1
|
2021-08-22T18:05:57.000Z
|
2021-08-22T18:05:57.000Z
|
__version__ = '0.1.0'
from .simsam import kraemer_sampling
from .simsam import naive_sampling
| 19
| 36
| 0.8
| 14
| 95
| 5
| 0.642857
| 0.285714
| 0.457143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.036145
| 0.126316
| 95
| 4
| 37
| 23.75
| 0.807229
| 0
| 0
| 0
| 0
| 0
| 0.052632
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 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
| 1
| 0
|
0
| 6
|
61bf12f445b26f5151f6b30f6e4a190333b6ea74
| 3,504
|
py
|
Python
|
tests/menulist_test.py
|
aguilarjose11/ParachuteTimeSheetTimeMngmntSystem
|
9cc6b179a114be930eb3c5abe86cd21e15a9db45
|
[
"MIT"
] | 1
|
2018-12-18T15:15:21.000Z
|
2018-12-18T15:15:21.000Z
|
tests/menulist_test.py
|
aguilarjose11/ParachuteTimeSheetTimeMngmntSystem
|
9cc6b179a114be930eb3c5abe86cd21e15a9db45
|
[
"MIT"
] | 3
|
2019-01-17T01:55:16.000Z
|
2019-02-21T16:27:35.000Z
|
tests/menulist_test.py
|
aguilarjose11/ParachuteTimeSheetTimeMngmntSystem
|
9cc6b179a114be930eb3c5abe86cd21e15a9db45
|
[
"MIT"
] | 1
|
2019-01-16T21:51:08.000Z
|
2019-01-16T21:51:08.000Z
|
import pytest, os, sys
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '../parachuteCore')))
from parachuteCore import menulist, menu
class Test_menulist():
@pytest.mark.parametrize("keys, expected", [
([72, 72, 72, 72, 13], "0"),
([80, 80, 80, 72, 13], "1"),
([80, 80, 13], "2"),
([127, 13], "0"),
(["sys.exit", 27], "-1")
])
def test_mainMenu(self, keys, expected, capsys):
user_keys = keys
def mock_input(*args, **argv):
return keys.pop(0)
def mock_getch(*args, **argv):
return "testing..."
menulist.ord = mock_input
menulist.getch = mock_getch
testMenu = menulist.mainMenu()
if user_keys[0] == "sys.exit":
user_keys.pop(0)
with pytest.raises(SystemExit) as testee_exit:
menu.runmenu(testMenu)
assert testee_exit.type == SystemExit
assert testee_exit.value.code == 0
else:
returnVal = menu.runmenu(testMenu)
assert returnVal == expected
@pytest.mark.parametrize("keys, expected", [
([13], "0"),
([80, 13], "1"),
([80, 80, 13], "2"),
([80, 80, 80, 13], "3"),
([80, 80, 80, 80, 13], "4"),
([80, 80, 80, 80, 80, 13], "4"),
([80, 80, 80, 80, 80, 72, 13], "3"),
([80, 80, 80, 80, 80, 72, 72, 13], "2"),
([80, 80, 80, 80, 80, 72, 72, 72, 13], "1"),
([80, 80, 80, 80, 80, 72, 72, 72, 72, 13], "0"),
([80, 80, 80, 80, 80, 72, 72, 72, 72, 72, 13], "0"),
([127, 13], "0"),
(["sys.exit", 27], "-1")
])
def test_registerMenu(self, keys, expected, capsys):
user_keys = keys
def mock_ord(*argv, **args):
return user_keys.pop(0)
def mock_getch(*argv, **args):
return "...testing."
menulist.getch = mock_getch
menulist.ord = mock_ord
testMenu = menulist.registerMenu()
if user_keys[0] == "sys.exit":
user_keys.pop(0)
with pytest.raises(SystemExit) as testee_exit:
menu.runmenu(testMenu)
assert testee_exit.type == SystemExit
assert testee_exit.value.code == 0
else:
returnVal = menu.runmenu(testMenu)
assert returnVal == expected
@pytest.mark.parametrize("keys, expected", [
([13], "0"),
([80, 13], "1"),
([80, 80, 13], "2"),
([80, 80, 80, 13], "2"),
([80, 80, 80, 72, 13], "1"),
([80, 80, 80, 72, 72, 13], "0"),
([80, 80, 80, 72, 72, 72, 13], "0"),
([124, 13], "0"),
(["sys.exit", 27], "-1")
])
def test_loginMenu(self, keys, expected, capsys):
user_keys = keys
def mock_ord(*argv, **args):
return user_keys.pop(0)
def mock_getch(*argv, **args):
return "...testing."
menulist.getch = mock_getch
menulist.ord = mock_ord
testMenu = menulist.loginMenu()
if user_keys[0] == "sys.exit":
user_keys.pop(0)
with pytest.raises(SystemExit) as testee_exit:
menu.runmenu(testMenu)
assert testee_exit.type == SystemExit
assert testee_exit.value.code == 0
else:
returnVal = menu.runmenu(testMenu)
assert returnVal == expected
| 32.747664
| 96
| 0.503995
| 435
| 3,504
| 3.958621
| 0.142529
| 0.097561
| 0.090592
| 0.060395
| 0.860046
| 0.839721
| 0.817073
| 0.803717
| 0.760163
| 0.67712
| 0
| 0.116162
| 0.321918
| 3,504
| 106
| 97
| 33.056604
| 0.608586
| 0
| 0
| 0.684783
| 0
| 0
| 0.048516
| 0
| 0
| 0
| 0
| 0
| 0.097826
| 1
| 0.097826
| false
| 0
| 0.021739
| 0.065217
| 0.195652
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 6
|
4ef7c3ed4544ed9c246654602062f32764fa9d2f
| 20
|
py
|
Python
|
fython/lex/__init__.py
|
nicolasessisbreton/fython
|
988f5a94cee8b16b0000501a22239195c73424a1
|
[
"Apache-2.0"
] | 41
|
2016-01-21T05:14:45.000Z
|
2021-11-24T20:37:21.000Z
|
fython/lex/__init__.py
|
nicolasessisbreton/fython
|
988f5a94cee8b16b0000501a22239195c73424a1
|
[
"Apache-2.0"
] | 5
|
2016-01-21T05:36:37.000Z
|
2016-08-22T19:26:51.000Z
|
fython/lex/__init__.py
|
nicolasessisbreton/fython
|
988f5a94cee8b16b0000501a22239195c73424a1
|
[
"Apache-2.0"
] | 3
|
2016-01-23T04:03:44.000Z
|
2016-08-21T15:58:38.000Z
|
from .lex import lex
| 20
| 20
| 0.8
| 4
| 20
| 4
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.15
| 20
| 1
| 20
| 20
| 0.941176
| 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
| 1
| 0
|
0
| 6
|
f675844c3c7fa0c12950cf877f4571484f1336eb
| 480
|
py
|
Python
|
glocal_merchant_request.py
|
akashglocal/payglocal-python-sdk
|
737ee5c7bb232bdcc43f0c13b56377d98113ad4a
|
[
"MIT"
] | null | null | null |
glocal_merchant_request.py
|
akashglocal/payglocal-python-sdk
|
737ee5c7bb232bdcc43f0c13b56377d98113ad4a
|
[
"MIT"
] | 2
|
2021-12-10T14:18:31.000Z
|
2021-12-14T11:23:17.000Z
|
glocal_merchant_request.py
|
akashglocal/payglocal-python-sdk
|
737ee5c7bb232bdcc43f0c13b56377d98113ad4a
|
[
"MIT"
] | 1
|
2021-12-10T13:48:26.000Z
|
2021-12-10T13:48:26.000Z
|
class GlocalMerchantRequest:
def __init__(self, xgl_token_external, payload):
self.xgl_token_external = xgl_token_external
self.payload = payload
def get_payload(self):
return self.payload
def get_xgl_token_external(self):
return self.xgl_token_external
def set_xgl_token_external(self, xgl_token_external):
self.xgl_token_external = xgl_token_external
def set_payload(self, payload):
self.payload = payload
| 28.235294
| 57
| 0.720833
| 61
| 480
| 5.245902
| 0.196721
| 0.225
| 0.45
| 0.3125
| 0.425
| 0.3375
| 0.3375
| 0
| 0
| 0
| 0
| 0
| 0.216667
| 480
| 16
| 58
| 30
| 0.851064
| 0
| 0
| 0.333333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.416667
| false
| 0
| 0
| 0.166667
| 0.666667
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 6
|
9c9865663c6131e2a4bb13789de42f0e2cf9476c
| 99
|
py
|
Python
|
src/flask/__init__.py
|
masterbee/mini-mead
|
8d78320352eb90502b0265a466f382c1d585658a
|
[
"MIT"
] | null | null | null |
src/flask/__init__.py
|
masterbee/mini-mead
|
8d78320352eb90502b0265a466f382c1d585658a
|
[
"MIT"
] | null | null | null |
src/flask/__init__.py
|
masterbee/mini-mead
|
8d78320352eb90502b0265a466f382c1d585658a
|
[
"MIT"
] | null | null | null |
from .threaded import ThreadedServer
def get( config ):
return ThreadedServer.create( config )
| 14.142857
| 39
| 0.767677
| 11
| 99
| 6.909091
| 0.818182
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.161616
| 99
| 6
| 40
| 16.5
| 0.915663
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0.333333
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 6
|
9cf889b939fa4a90e6d7b7832e398f37aa151e0b
| 2,745
|
py
|
Python
|
MetaScreener/external_sw/mgltools/MGLToolsPckgs/DejaVu2/cursors.py
|
bio-hpc/metascreener
|
6900497629f601c4b6c0c37da26de58ffa221988
|
[
"Apache-2.0"
] | 8
|
2021-12-14T21:30:01.000Z
|
2022-02-14T11:30:03.000Z
|
MetaScreener/external_sw/mgltools/MGLToolsPckgs/DejaVu2/cursors.py
|
bio-hpc/metascreener
|
6900497629f601c4b6c0c37da26de58ffa221988
|
[
"Apache-2.0"
] | null | null | null |
MetaScreener/external_sw/mgltools/MGLToolsPckgs/DejaVu2/cursors.py
|
bio-hpc/metascreener
|
6900497629f601c4b6c0c37da26de58ffa221988
|
[
"Apache-2.0"
] | null | null | null |
#############################################################################
#
# Author: Michel F. SANNER
#
# Copyright: M. Sanner TSRI 2010
#
#############################################################################
#
# $Header: /opt/cvs/DejaVu2/cursors.py,v 1.1.1.1 2014/06/19 19:41:03 sanner Exp $
#
# $Id: cursors.py,v 1.1.1.1 2014/06/19 19:41:03 sanner Exp $
#
import sys, os
## define cursors
cursorsDict = {
'default':'',
'busy':'watch',
'None':'pirate',
'default':'',
'addToSelection':'',
'removeFromSelection':'',
'rotation':'exchange',
'XYtranslation':'fleur',
'Ztranslation':'double_arrow',
'scale':'',
'zoom':'sizing',
'pivotOnPixel':'cross_reverse',
'picking':'dotbox'
# '':'',
}
import DejaVu2
cpath = os.path.join(DejaVu2.__path__[0], 'Cursors')
if sys.platform=='linux2':
cursorsDict['addToSelection'] = (
'@'+os.path.join(cpath, 'AddSel.xbm'),
os.path.join(cpath, 'AddSelMask.xbm'),
'black', 'white')
cursorsDict['removeFromSelection'] = (
'@'+os.path.join(cpath, 'MinusSel.xbm'),
os.path.join(cpath, 'MinusSelMask.xbm'),
'black', 'white')
cursorsDict['Ztranslation'] = (
'@'+os.path.join(cpath, 'Ztrans.xbm'),
os.path.join(cpath, 'ZtransMask.xbm'),
'black', 'white')
elif os.name == 'nt':
pass
## cursorsDict['None']='@'+os.path.join(cpath, 'NoAction.cur')
## cursorsDict['addToSelection']='@'+os.path.join(cpath, 'AddSel.cur')
## cursorsDict['removeFromSelection']='@'+os.path.join(cpath,
## 'MinusSel.cur')
## cursorsDict['XYtranslation']='@'+os.path.join(cpath, 'XYtrans.cur')
## cursorsDict['Ztranslation']='@'+os.path.join(cpath, 'Ztrans.cur')
elif sys.platform=='darwin':
cursorsDict['addToSelection'] = (
'@'+os.path.join(cpath, 'AddSel.xbm'),
os.path.join(cpath, 'AddSelMask.xbm'),
'black', 'white')
cursorsDict['removeFromSelection'] = (
'@'+os.path.join(cpath, 'MinusSel.xbm'),
os.path.join(cpath, 'MinusSelMask.xbm'),
'black', 'white')
cursorsDict['Ztranslation'] = (
'@'+os.path.join(cpath, 'Ztrans.xbm'),
os.path.join(cpath, 'ZtransMask.xbm'),
'black', 'white')
## cursorsDict['None']='@'+os.path.join(cpath, 'NoAction.cur')
## cursorsDict['addToSelection']='@'+os.path.join(cpath, 'AddSel.cur')
## cursorsDict['removeFromSelection']='@'+os.path.join(cpath,
## 'MinusSel.cur')
## cursorsDict['XYtranslation']='@'+os.path.join(cpath, 'XYtrans.cur')
## cursorsDict['Ztranslation']='@'+os.path.join(cpath, 'Ztrans.cur')
| 34.746835
| 81
| 0.538069
| 272
| 2,745
| 5.408088
| 0.272059
| 0.093814
| 0.156356
| 0.224337
| 0.743712
| 0.743712
| 0.743712
| 0.743712
| 0.743712
| 0.743712
| 0
| 0.020548
| 0.202186
| 2,745
| 78
| 82
| 35.192308
| 0.651142
| 0.364299
| 0
| 0.565217
| 0
| 0
| 0.325821
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.021739
| 0.043478
| 0
| 0.043478
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 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
| 6
|
9cfd624bc6dc3d85e47695b05705c9605bb051b8
| 12,073
|
py
|
Python
|
src/unet/blocks.py
|
t-rice/PyTorch-UNet
|
762b8e40d4fc66228fec8efae9dfc0a0b18e9110
|
[
"MIT"
] | 9
|
2019-08-15T15:39:42.000Z
|
2021-07-23T05:18:50.000Z
|
src/unet/blocks.py
|
t-rice/PyTorch-UNet
|
762b8e40d4fc66228fec8efae9dfc0a0b18e9110
|
[
"MIT"
] | 3
|
2020-07-29T02:36:36.000Z
|
2022-02-17T11:12:18.000Z
|
src/unet/blocks.py
|
t-rice/PyTorch-UNet
|
762b8e40d4fc66228fec8efae9dfc0a0b18e9110
|
[
"MIT"
] | 2
|
2021-09-27T20:05:37.000Z
|
2021-12-16T13:01:15.000Z
|
"""
Class definitions for a standard U-Net Up-and Down-sampling blocks
http://arxiv.org/abs/1505.0.397
"""
import torch
import torch.nn as nn
import torch.nn.functional as F
class EncoderBlock(nn.Module):
"""
Instances the Encoder block that forms a part of a U-Net
Parameters:
in_channels (int): Depth (or number of channels) of the tensor that the block acts on
filter_num (int) : Number of filters used in the convolution ops inside the block,
depth of the output of the enc block
dropout(bool) : Flag to decide whether a dropout layer should be applied
dropout_rate (float) : Probability of dropping a convolution output feature channel
"""
def __init__(self, filter_num=64, in_channels=1, dropout=False, dropout_rate=0.3):
super(EncoderBlock,self).__init__()
self.filter_num = int(filter_num)
self.in_channels = int(in_channels)
self.dropout = dropout
self.dropout_rate = dropout_rate
self.conv1 = nn.Conv2d(in_channels=self.in_channels,
out_channels=self.filter_num,
kernel_size=3,
padding=1)
self.conv2 = nn.Conv2d(in_channels=self.filter_num,
out_channels=self.filter_num,
kernel_size=3,
padding=1)
self.bn_op_1 = nn.InstanceNorm2d(num_features=self.filter_num, affine=True)
self.bn_op_2 = nn.InstanceNorm2d(num_features=self.filter_num, affine=True)
# Use Dropout ops as nn.Module instead of nn.functional definition
# So using .train() and .eval() flags, can modify their behavior for MC-Dropout
if dropout is True:
self.dropout_1 = nn.Dropout(p=dropout_rate)
self.dropout_2 = nn.Dropout(p=dropout_rate)
def apply_manual_dropout_mask(self, x, seed):
# Mask size : [Batch_size, Channels, Height, Width]
dropout_mask = torch.bernoulli(input=torch.empty(x.shape[0], x.shape[1], x.shape[2], x.shape[3]).fill_(self.dropout_rate),
generator=torch.Generator().manual_seed(seed))
x = x*dropout_mask.to(x.device)
return x
def forward(self, x, seeds=None):
if seeds is not None:
assert(seeds.shape[0] == 2)
x = self.conv1(x)
x = self.bn_op_1(x)
x = F.leaky_relu(x)
if self.dropout is True:
if seeds is None:
x = self.dropout_1(x)
else:
x = self.apply_manual_dropout_mask(x, seeds[0].item())
x = self.conv2(x)
x = self.bn_op_2(x)
x = F.leaky_relu(x)
if self.dropout is True:
if seeds is None:
x = self.dropout_2(x)
else:
x = self.apply_manual_dropout_mask(x, seeds[1].item())
return x
class DecoderBlock(nn.Module):
"""
Decoder block used in the U-Net
Parameters:
in_channels (int) : Number of channels of the incoming tensor for the upsampling op
concat_layer_depth (int) : Number of channels to be concatenated via skip connections
filter_num (int) : Number of filters used in convolution, the depth of the output of the dec block
interpolate (bool) : Decides if upsampling needs to performed via interpolation or transposed convolution
dropout(bool) : Flag to decide whether a dropout layer should be applied
dropout_rate (float) : Probability of dropping a convolution output feature channel
"""
def __init__(self, in_channels, concat_layer_depth, filter_num, interpolate=False, dropout=False, dropout_rate=0.3):
# Up-sampling (interpolation or transposed conv) --> EncoderBlock
super(DecoderBlock, self).__init__()
self.filter_num = int(filter_num)
self.in_channels = int(in_channels)
self.concat_layer_depth = int(concat_layer_depth)
self.interpolate = interpolate
self.dropout = dropout
self.dropout_rate = dropout_rate
# Upsample by interpolation followed by a 3x3 convolution to obtain desired depth
self.up_sample_interpolate = nn.Sequential(nn.Upsample(scale_factor=2,
mode='bilinear',
align_corners=True),
nn.Conv2d(in_channels=self.in_channels,
out_channels=self.in_channels,
kernel_size=3,
padding=1)
)
# Upsample via transposed convolution (know to produce artifacts)
self.up_sample_tranposed = nn.ConvTranspose2d(in_channels=self.in_channels,
out_channels=self.in_channels,
kernel_size=3,
stride=2,
padding=1,
output_padding=1)
self.down_sample = EncoderBlock(in_channels=self.in_channels+self.concat_layer_depth,
filter_num=self.filter_num,
dropout=self.dropout,
dropout_rate=self.dropout_rate)
def forward(self, x, skip_layer, seeds=None):
if self.interpolate is True:
up_sample_out = F.leaky_relu(self.up_sample_interpolate(x))
else:
up_sample_out = F.leaky_relu(self.up_sample_tranposed(x))
merged_out = torch.cat([up_sample_out, skip_layer], dim=1)
out = self.down_sample(merged_out, seeds=seeds)
return out
class EncoderBlock3D(nn.Module):
"""
Instances the 3D Encoder block that forms a part of a 3D U-Net
Parameters:
in_channels (int): Depth (or number of channels) of the tensor that the block acts on
filter_num (int) : Number of filters used in the convolution ops inside the block,
depth of the output of the enc block
"""
def __init__(self, filter_num=64, in_channels=1, dropout=False):
super(EncoderBlock3D, self).__init__()
self.filter_num = int(filter_num)
self.in_channels = int(in_channels)
self.dropout = dropout
self.conv1 = nn.Conv3d(in_channels=self.in_channels,
out_channels=self.filter_num,
kernel_size=3,
padding=1)
self.conv2 = nn.Conv3d(in_channels=self.filter_num,
out_channels=self.filter_num*2,
kernel_size=3,
padding=1)
self.bn_op_1 = nn.InstanceNorm3d(num_features=self.filter_num)
self.bn_op_2 = nn.InstanceNorm3d(num_features=self.filter_num*2)
def forward(self, x):
x = self.conv1(x)
x = self.bn_op_1(x)
x = F.leaky_relu(x)
if self.dropout is True:
x = F.dropout3d(x, p=0.3)
x = self.conv2(x)
x = self.bn_op_2(x)
x = F.leaky_relu(x)
if self.dropout is True:
x = F.dropout3d(x, p=0.3)
return x
class DecoderBlock3D(nn.Module):
"""
Decoder block used in the 3D U-Net
Parameters:
in_channels (int) : Number of channels of the incoming tensor for the upsampling op
concat_layer_depth (int) : Number of channels to be concatenated via skip connections
filter_num (int) : Number of filters used in convolution, the depth of the output of the dec block
interpolate (bool) : Decides if upsampling needs to performed via interpolation or transposed convolution
"""
def __init__(self, in_channels, concat_layer_depth, filter_num, interpolate=False, dropout=False):
super(DecoderBlock3D, self).__init__()
self.filter_num = int(filter_num)
self.in_channels = int(in_channels)
self.concat_layer_depth = int(concat_layer_depth)
self.interpolate = interpolate
self.dropout = dropout
# Upsample by interpolation followed by a 3x3x3 convolution to obtain desired depth
self.up_sample_interpolate = nn.Sequential(nn.Upsample(scale_factor=2,
mode='nearest'),
nn.Conv3d(in_channels=self.in_channels,
out_channels=self.in_channels,
kernel_size=3,
padding=1)
)
# Upsample via transposed convolution (know to produce artifacts)
self.up_sample_transposed = nn.ConvTranspose3d(in_channels=self.in_channels,
out_channels=self.in_channels,
kernel_size=3,
stride=2,
padding=1,
output_padding=1)
if self.dropout is True:
self.down_sample = nn.Sequential(nn.Conv3d(in_channels=self.in_channels+self.concat_layer_depth,
out_channels=self.filter_num,
kernel_size=3,
padding=1),
nn.InstanceNorm3d(num_features=self.filter_num),
nn.LeakyReLU(),
nn.Dropout3d(p=0.3),
nn.Conv3d(in_channels=self.filter_num,
out_channels=self.filter_num,
kernel_size=3,
padding=1),
nn.InstanceNorm3d(num_features=self.filter_num),
nn.LeakyReLU(),
nn.Dropout3d(p=0.3))
else:
self.down_sample = nn.Sequential(nn.Conv3d(in_channels=self.in_channels+self.concat_layer_depth,
out_channels=self.filter_num,
kernel_size=3,
padding=1),
nn.InstanceNorm3d(num_features=self.filter_num),
nn.LeakyReLU(),
nn.Conv3d(in_channels=self.filter_num,
out_channels=self.filter_num,
kernel_size=3,
padding=1),
nn.InstanceNorm3d(num_features=self.filter_num),
nn.LeakyReLU())
def forward(self, x, skip_layer):
if self.interpolate is True:
up_sample_out = F.leaky_relu(self.up_sample_interpolate(x))
else:
up_sample_out = F.leaky_relu(self.up_sample_transposed(x))
merged_out = torch.cat([up_sample_out, skip_layer], dim=1)
out = self.down_sample(merged_out)
return out
| 42.964413
| 130
| 0.514537
| 1,314
| 12,073
| 4.524353
| 0.139269
| 0.070648
| 0.059041
| 0.048108
| 0.816148
| 0.800336
| 0.776451
| 0.759294
| 0.735071
| 0.711186
| 0
| 0.017556
| 0.414976
| 12,073
| 280
| 131
| 43.117857
| 0.824154
| 0.204837
| 0
| 0.636905
| 0
| 0
| 0.001591
| 0
| 0
| 0
| 0
| 0
| 0.005952
| 1
| 0.053571
| false
| 0
| 0.017857
| 0
| 0.125
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 6
|
1422a5ffdf09b19e196823595321ab7308935649
| 21,159
|
py
|
Python
|
picbackend/views/v2/provider_plan_network_views/plans_views/tools/create_update_delete.py
|
bbcawodu/careadvisors-backend
|
5ebd3c0fc189b2486cea92b2a13c0bd8a0ee3838
|
[
"MIT"
] | null | null | null |
picbackend/views/v2/provider_plan_network_views/plans_views/tools/create_update_delete.py
|
bbcawodu/careadvisors-backend
|
5ebd3c0fc189b2486cea92b2a13c0bd8a0ee3838
|
[
"MIT"
] | null | null | null |
picbackend/views/v2/provider_plan_network_views/plans_views/tools/create_update_delete.py
|
bbcawodu/careadvisors-backend
|
5ebd3c0fc189b2486cea92b2a13c0bd8a0ee3838
|
[
"MIT"
] | null | null | null |
"""
This module defines utility functions and classes for views that handle accepted plans for provider networks contracted
with PIC
"""
import re
from picbackend.views.utils import clean_float_value_from_dict_object
from picbackend.views.utils import clean_int_value_from_dict_object
from picbackend.views.utils import clean_string_value_from_dict_object
from picmodels.models import HealthcareServiceCostEntry
def validate_put_rqst_params(rqst_body, rqst_errors):
validated_params = {
'rqst_action': clean_string_value_from_dict_object(rqst_body, "root", "db_action", rqst_errors)
}
rqst_action = validated_params['rqst_action']
if rqst_action == 'create':
validate_create_row_params(rqst_body, validated_params, rqst_errors)
elif rqst_action == 'update':
validated_params['rqst_id'] = clean_int_value_from_dict_object(rqst_body, "root", "id", rqst_errors)
validate_update_row_params(rqst_body, validated_params, rqst_errors)
elif rqst_action == 'delete':
validated_params['rqst_id'] = clean_int_value_from_dict_object(rqst_body, "root", "id", rqst_errors)
return validated_params
def validate_create_row_params(rqst_body, validated_params, rqst_errors):
"""
This function parses the BODY of requests for PIC consumer management PUT requests, checks for errors, and returns
relevant information as a dictionary
:param rqst_body: (type: dictionary) Carrier information to be parsed
:param rqst_errors: (type: list) list of error messages
:return: (type: dictionary) dictionary with relevant consumer information
"""
# Summary report fields
validated_params["medical_deductible_individual_standard"] = clean_float_value_from_dict_object(
rqst_body,
"root",
"medical_deductible_individual_standard",
rqst_errors,
none_allowed=True,
no_key_allowed=True
)
validated_params["medical_out_of_pocket_max_individual_standard"] = clean_float_value_from_dict_object(
rqst_body,
"root",
"medical_out_of_pocket_max_individual_standard",
rqst_errors,
none_allowed=True,
no_key_allowed=True
)
rqst_primary_care_physician_standard_cost = create_healthcare_service_cost_instances_from_string(
clean_string_value_from_dict_object(
rqst_body,
"root",
"primary_care_physician_standard_cost",
rqst_errors,
none_allowed=True,
no_key_allowed=True
),
"primary_care_physician_individual_standard_cost",
rqst_errors
)
validated_params["primary_care_physician_standard_cost"] = rqst_primary_care_physician_standard_cost
# Detailed report fields
validated_params["rqst_plan_name"] = clean_string_value_from_dict_object(rqst_body, "root", "name", rqst_errors)
validated_params["rqst_carrier_id"] = clean_int_value_from_dict_object(
rqst_body,
"root",
"Carrier Database ID",
rqst_errors
)
validated_params["rqst_plan_premium_type"] = clean_string_value_from_dict_object(
rqst_body,
"root",
"premium_type",
rqst_errors,
none_allowed=True,
no_key_allowed=True
)
validated_params["rqst_plan_metal_level"] = clean_string_value_from_dict_object(
rqst_body,
"root",
"metal_level",
rqst_errors,
none_allowed=True,
no_key_allowed=True
)
validated_params["county"] = clean_string_value_from_dict_object(
rqst_body,
"root",
"county",
rqst_errors,
none_allowed=True,
no_key_allowed=True
)
rqst_specialist_standard_cost = create_healthcare_service_cost_instances_from_string(
clean_string_value_from_dict_object(
rqst_body,
"root",
"specialist_standard_cost",
rqst_errors,
none_allowed=True,
no_key_allowed=True
),
"specialist_standard_cost",
rqst_errors
)
validated_params["specialist_standard_cost"] = rqst_specialist_standard_cost
rqst_emergency_room_standard_cost = create_healthcare_service_cost_instances_from_string(
clean_string_value_from_dict_object(
rqst_body,
"root",
"emergency_room_standard_cost",
rqst_errors,
none_allowed=True,
no_key_allowed=True
),
"emergency_room_standard_cost",
rqst_errors
)
validated_params["emergency_room_standard_cost"] = rqst_emergency_room_standard_cost
rqst_inpatient_facility_standard_cost = create_healthcare_service_cost_instances_from_string(
clean_string_value_from_dict_object(
rqst_body,
"root",
"inpatient_facility_standard_cost",
rqst_errors,
none_allowed=True,
no_key_allowed=True
),
"inpatient_facility_standard_cost",
rqst_errors
)
validated_params["inpatient_facility_standard_cost"] = rqst_inpatient_facility_standard_cost
rqst_generic_drugs_standard_cost = create_healthcare_service_cost_instances_from_string(
clean_string_value_from_dict_object(
rqst_body,
"root",
"generic_drugs_standard_cost",
rqst_errors,
none_allowed=True,
no_key_allowed=True
),
"generic_drugs_standard_cost",
rqst_errors
)
validated_params["generic_drugs_standard_cost"] = rqst_generic_drugs_standard_cost
rqst_preferred_brand_drugs_standard_cost = create_healthcare_service_cost_instances_from_string(
clean_string_value_from_dict_object(
rqst_body,
"root",
"preferred_brand_drugs_standard_cost",
rqst_errors,
none_allowed=True,
no_key_allowed=True
),
"preferred_brand_drugs_standard_cost",
rqst_errors
)
validated_params["preferred_brand_drugs_standard_cost"] = rqst_preferred_brand_drugs_standard_cost
rqst_non_preferred_brand_drugs_standard_cost = create_healthcare_service_cost_instances_from_string(
clean_string_value_from_dict_object(
rqst_body,
"root",
"non_preferred_brand_drugs_standard_cost",
rqst_errors,
none_allowed=True,
no_key_allowed=True
),
"non_preferred_brand_drugs_standard_cost",
rqst_errors
)
validated_params["non_preferred_brand_drugs_standard_cost"] = rqst_non_preferred_brand_drugs_standard_cost
rqst_specialty_drugs_standard_cost = create_healthcare_service_cost_instances_from_string(
clean_string_value_from_dict_object(
rqst_body,
"root",
"specialty_drugs_standard_cost",
rqst_errors,
none_allowed=True,
no_key_allowed=True
),
"specialty_drugs_standard_cost",
rqst_errors
)
validated_params["specialty_drugs_standard_cost"] = rqst_specialty_drugs_standard_cost
# Extra benefit report fields
validated_params["medical_deductible_family_standard"] = clean_float_value_from_dict_object(
rqst_body,
"root",
"medical_deductible_family_standard",
rqst_errors,
none_allowed=True,
no_key_allowed=True
)
validated_params["medical_out_of_pocket_max_family_standard"] = clean_float_value_from_dict_object(
rqst_body,
"root",
"medical_out_of_pocket_max_family_standard",
rqst_errors,
none_allowed=True,
no_key_allowed=True
)
def validate_update_row_params(rqst_body, validated_params, rqst_errors):
"""
This function parses the BODY of requests for PIC consumer management PUT requests, checks for errors, and returns
relevant information as a dictionary
:param rqst_body: (type: dictionary) Carrier information to be parsed
:param rqst_errors: (type: list) list of error messages
:return: (type: dictionary) dictionary with relevant consumer information
"""
# Summary report fields
if "medical_deductible_individual_standard" in rqst_body:
validated_params["medical_deductible_individual_standard"] = clean_float_value_from_dict_object(
rqst_body,
"root",
"medical_deductible_individual_standard",
rqst_errors,
none_allowed=True,
no_key_allowed=True
)
if "medical_out_of_pocket_max_individual_standard" in rqst_body:
validated_params["medical_out_of_pocket_max_individual_standard"] = clean_float_value_from_dict_object(
rqst_body,
"root",
"medical_out_of_pocket_max_individual_standard",
rqst_errors,
none_allowed=True,
no_key_allowed=True
)
if "primary_care_physician_standard_cost" in rqst_body:
rqst_primary_care_physician_standard_cost = create_healthcare_service_cost_instances_from_string(
clean_string_value_from_dict_object(
rqst_body,
"root",
"primary_care_physician_standard_cost",
rqst_errors,
none_allowed=True,
no_key_allowed=True
),
"primary_care_physician_individual_standard_cost",
rqst_errors
)
validated_params["primary_care_physician_standard_cost"] = rqst_primary_care_physician_standard_cost
# Detailed report fields
if "name" in rqst_body:
validated_params["rqst_plan_name"] = clean_string_value_from_dict_object(rqst_body, "root", "name", rqst_errors)
if "Carrier Database ID" in rqst_body:
validated_params["rqst_carrier_id"] = clean_int_value_from_dict_object(
rqst_body,
"root",
"Carrier Database ID",
rqst_errors
)
if "premium_type" in rqst_body:
validated_params["rqst_plan_premium_type"] = clean_string_value_from_dict_object(
rqst_body,
"root",
"premium_type",
rqst_errors,
none_allowed=True,
no_key_allowed=True
)
if "metal_level" in rqst_body:
validated_params["rqst_plan_metal_level"] = clean_string_value_from_dict_object(
rqst_body,
"root",
"metal_level",
rqst_errors,
none_allowed=True,
no_key_allowed=True
)
if "county" in rqst_body:
validated_params["county"] = clean_string_value_from_dict_object(
rqst_body,
"root",
"county",
rqst_errors,
none_allowed=True,
no_key_allowed=True
)
if "specialist_standard_cost" in rqst_body:
rqst_specialist_standard_cost = create_healthcare_service_cost_instances_from_string(
clean_string_value_from_dict_object(
rqst_body,
"root",
"specialist_standard_cost",
rqst_errors,
none_allowed=True,
no_key_allowed=True
),
"specialist_standard_cost",
rqst_errors
)
validated_params["specialist_standard_cost"] = rqst_specialist_standard_cost
if "emergency_room_standard_cost" in rqst_body:
rqst_emergency_room_standard_cost = create_healthcare_service_cost_instances_from_string(
clean_string_value_from_dict_object(
rqst_body,
"root",
"emergency_room_standard_cost",
rqst_errors,
none_allowed=True,
no_key_allowed=True
),
"emergency_room_standard_cost",
rqst_errors
)
validated_params["emergency_room_standard_cost"] = rqst_emergency_room_standard_cost
if "inpatient_facility_standard_cost" in rqst_body:
rqst_inpatient_facility_standard_cost = create_healthcare_service_cost_instances_from_string(
clean_string_value_from_dict_object(
rqst_body,
"root",
"inpatient_facility_standard_cost",
rqst_errors,
none_allowed=True,
no_key_allowed=True
),
"inpatient_facility_standard_cost",
rqst_errors
)
validated_params["inpatient_facility_standard_cost"] = rqst_inpatient_facility_standard_cost
if "generic_drugs_standard_cost" in rqst_body:
rqst_generic_drugs_standard_cost = create_healthcare_service_cost_instances_from_string(
clean_string_value_from_dict_object(
rqst_body,
"root",
"generic_drugs_standard_cost",
rqst_errors,
none_allowed=True,
no_key_allowed=True
),
"generic_drugs_standard_cost",
rqst_errors
)
validated_params["generic_drugs_standard_cost"] = rqst_generic_drugs_standard_cost
if "preferred_brand_drugs_standard_cost" in rqst_body:
rqst_preferred_brand_drugs_standard_cost = create_healthcare_service_cost_instances_from_string(
clean_string_value_from_dict_object(
rqst_body,
"root",
"preferred_brand_drugs_standard_cost",
rqst_errors,
none_allowed=True,
no_key_allowed=True
),
"preferred_brand_drugs_standard_cost",
rqst_errors
)
validated_params["preferred_brand_drugs_standard_cost"] = rqst_preferred_brand_drugs_standard_cost
if "non_preferred_brand_drugs_standard_cost" in rqst_body:
rqst_non_preferred_brand_drugs_standard_cost = create_healthcare_service_cost_instances_from_string(
clean_string_value_from_dict_object(
rqst_body,
"root",
"non_preferred_brand_drugs_standard_cost",
rqst_errors,
none_allowed=True,
no_key_allowed=True
),
"non_preferred_brand_drugs_standard_cost",
rqst_errors
)
validated_params["non_preferred_brand_drugs_standard_cost"] = rqst_non_preferred_brand_drugs_standard_cost
if "specialty_drugs_standard_cost" in rqst_body:
rqst_specialty_drugs_standard_cost = create_healthcare_service_cost_instances_from_string(
clean_string_value_from_dict_object(
rqst_body,
"root",
"specialty_drugs_standard_cost",
rqst_errors,
none_allowed=True,
no_key_allowed=True
),
"specialty_drugs_standard_cost",
rqst_errors
)
validated_params["specialty_drugs_standard_cost"] = rqst_specialty_drugs_standard_cost
# Extra benefit report fields
if "medical_deductible_family_standard" in rqst_body:
validated_params["medical_deductible_family_standard"] = clean_float_value_from_dict_object(
rqst_body,
"root",
"medical_deductible_family_standard",
rqst_errors,
none_allowed=True,
no_key_allowed=True
)
if "medical_out_of_pocket_max_family_standard" in rqst_body:
validated_params["medical_out_of_pocket_max_family_standard"] = clean_float_value_from_dict_object(
rqst_body,
"root",
"medical_out_of_pocket_max_family_standard",
rqst_errors,
none_allowed=True,
no_key_allowed=True
)
def create_healthcare_service_cost_instances_from_string(cost_string, field_name, rqst_errors):
healthcare_service_cost_instances = []
if cost_string:
cost_string = cost_string.lower()
cost_string_list = re.split(" and ", cost_string)
def create_healthcare_service_cost_instance_from_cost_string_fragment(cost_string_fragment):
def get_coinsurance_percentage_from_cost_string():
coinsurance_percentage_return_value = None
coinsurance_percentage_string_list = re.findall("\d+%", cost_string_fragment)
no_of_coinsurance_percentages = len(coinsurance_percentage_string_list)
if no_of_coinsurance_percentages == 1:
coinsurance_percentage_numbers = re.findall("\d+", coinsurance_percentage_string_list[0])
no_of_coinsurance_percentage_numbers = len(coinsurance_percentage_numbers)
if no_of_coinsurance_percentage_numbers == 1:
if coinsurance_percentage_numbers[0] != "0":
coinsurance_percentage_return_value = float(coinsurance_percentage_numbers[0])
else:
rqst_errors.append("Coinsurance percentage is improperly formatted(returned 0) for field: {}".format(field_name))
elif no_of_coinsurance_percentage_numbers == 0 or no_of_coinsurance_percentage_numbers > 1:
rqst_errors.append("Coinsurance percentage is improperly formatted for field: {}".format(field_name))
elif no_of_coinsurance_percentages > 1:
rqst_errors.append("More than one coinsurance percentage is included in field: {}".format(field_name))
return coinsurance_percentage_return_value
coinsurance_percentage = get_coinsurance_percentage_from_cost_string()
def get_copay_from_cost_string():
copay_return_value = None
copay_string_list = re.findall("\$\d+", cost_string_fragment)
no_of_copays = len(copay_string_list)
if no_of_copays == 1:
copay_numbers = re.findall("\d+", copay_string_list[0])
no_of_copay_numbers = len(copay_numbers)
if no_of_copay_numbers == 1:
if copay_numbers[0] != "0":
copay_return_value = float(copay_numbers[0])
else:
rqst_errors.append("Copay cost is improperly formatted(returned 0) for field: {}".format(field_name))
elif no_of_copay_numbers == 0 or no_of_copay_numbers > 1:
rqst_errors.append("Copay cost is improperly formatted for field: {}".format(field_name))
elif no_of_copays > 1:
rqst_errors.append("More than one copay cost is included in field: {}".format(field_name))
return copay_return_value
copay = get_copay_from_cost_string()
def check_for_no_charge_in_cost_string():
no_charge_in_string_return_value = False
if re.findall("no charge", cost_string_fragment):
no_charge_in_string_return_value = True
return no_charge_in_string_return_value
no_charge_in_cost_string = check_for_no_charge_in_cost_string()
if no_charge_in_cost_string:
coinsurance_percentage = 0.0
copay = 0.0
if not rqst_errors:
if coinsurance_percentage is not None or copay is not None:
healthcare_service_cost_instance = HealthcareServiceCostEntry(coinsurance=coinsurance_percentage,
copay=copay)
def check_for_deductible_info_in_cost_string():
relation_to_deductible_return_value = None
if re.findall("after deductible", cost_string_fragment):
relation_to_deductible_return_value = "After"
elif re.findall("before deductible", cost_string_fragment):
relation_to_deductible_return_value = "Before"
return relation_to_deductible_return_value
relation_to_deductible = check_for_deductible_info_in_cost_string()
healthcare_service_cost_instance.cost_relation_to_deductible = relation_to_deductible
if not healthcare_service_cost_instance.check_relative_to_deductible_choices():
rqst_errors.append("Valid cost relation to deductible was not able to be processed for field: {}".format(field_name))
if not rqst_errors:
healthcare_service_cost_instances.append(healthcare_service_cost_instance)
else:
rqst_errors.append("Valid cost was not able to be processed for field: {}".format(field_name))
for cost_string_piece in cost_string_list:
create_healthcare_service_cost_instance_from_cost_string_fragment(cost_string_piece)
return healthcare_service_cost_instances
| 39.402235
| 141
| 0.656553
| 2,330
| 21,159
| 5.408584
| 0.070386
| 0.083796
| 0.068561
| 0.060308
| 0.866688
| 0.827964
| 0.788288
| 0.763688
| 0.742422
| 0.721473
| 0
| 0.001589
| 0.286167
| 21,159
| 536
| 142
| 39.475746
| 0.83276
| 0.046363
| 0
| 0.695946
| 0
| 0
| 0.181217
| 0.131722
| 0
| 0
| 0
| 0
| 0
| 1
| 0.02027
| false
| 0
| 0.011261
| 0
| 0.045045
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 6
|
1af38f0362d85c2dfaff7ca439d94e6da0f2f424
| 36
|
py
|
Python
|
eod/plugins/yolox/models/neck/__init__.py
|
Helicopt/EOD
|
b5db36f4ce267bf64d093b8174bde2c4097b4718
|
[
"Apache-2.0"
] | 196
|
2021-10-30T05:15:36.000Z
|
2022-03-30T18:43:40.000Z
|
eod/tasks/det/plugins/yolox/models/neck/__init__.py
|
YZW-explorer/EOD
|
f10e64de86c0f356ebf5c7e923f4042eec4207b1
|
[
"Apache-2.0"
] | 12
|
2021-10-30T11:33:28.000Z
|
2022-03-31T14:22:58.000Z
|
eod/tasks/det/plugins/yolox/models/neck/__init__.py
|
YZW-explorer/EOD
|
f10e64de86c0f356ebf5c7e923f4042eec4207b1
|
[
"Apache-2.0"
] | 23
|
2021-11-01T07:26:17.000Z
|
2022-03-27T05:55:37.000Z
|
from .pafpn import YoloxPAFPN # noqa
| 36
| 36
| 0.805556
| 5
| 36
| 5.8
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.138889
| 36
| 1
| 36
| 36
| 0.935484
| 0.111111
| 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
| 1
| 0
|
0
| 6
|
215b55e6b36fddc0043934336c9eb9d08c71ebf4
| 122
|
py
|
Python
|
neclib/parameters/parser/__init__.py
|
nanten2/necst-lib
|
763477825c24b4307028b2d8ac1d08954512899b
|
[
"MIT"
] | 1
|
2022-02-04T12:12:46.000Z
|
2022-02-04T12:12:46.000Z
|
neclib/parameters/parser/__init__.py
|
nanten2/neclib
|
763477825c24b4307028b2d8ac1d08954512899b
|
[
"MIT"
] | 14
|
2022-02-09T06:32:28.000Z
|
2022-03-27T10:27:20.000Z
|
neclib/parameters/parser/__init__.py
|
nanten2/neclib
|
763477825c24b4307028b2d8ac1d08954512899b
|
[
"MIT"
] | null | null | null |
# flake8: noqa
"""Parsers for NECST parameter files."""
from .obsparam_data import *
from .pointing_error_data import *
| 17.428571
| 40
| 0.745902
| 16
| 122
| 5.5
| 0.8125
| 0.227273
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.009615
| 0.147541
| 122
| 6
| 41
| 20.333333
| 0.836538
| 0.393443
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
21608a9ab2ba59b8800f5884f3f6f383b77bc7ed
| 11,055
|
py
|
Python
|
src/main/python/tensorframes/core_test.py
|
ai2008/-
|
3b299d69ab12f1ea84d89484e0d89a321ac20b97
|
[
"Apache-2.0"
] | 789
|
2016-06-27T11:14:49.000Z
|
2021-10-31T11:15:35.000Z
|
src/main/python/tensorframes/core_test.py
|
ai2008/-
|
3b299d69ab12f1ea84d89484e0d89a321ac20b97
|
[
"Apache-2.0"
] | 117
|
2016-06-24T22:55:46.000Z
|
2022-02-09T23:38:49.000Z
|
src/main/python/tensorframes/core_test.py
|
ai2008/-
|
3b299d69ab12f1ea84d89484e0d89a321ac20b97
|
[
"Apache-2.0"
] | 169
|
2016-06-27T07:55:27.000Z
|
2021-09-02T10:18:01.000Z
|
from __future__ import print_function
from pyspark import SparkContext
from pyspark.sql import DataFrame, SQLContext
from pyspark.sql import Row
from pyspark.sql.functions import col
import tensorflow as tf
import pandas as pd
import tensorframes as tfs
from tensorframes.core import _java_api
class TestCore(object):
@classmethod
def setup_class(cls):
print("setup ", cls)
cls.sc = SparkContext('local[1]', cls.__name__)
@classmethod
def teardown_class(cls):
print("teardown ", cls)
cls.sc.stop()
def setUp(self):
self.sql = SQLContext(TestCore.sc)
self.api = _java_api()
self.api.initialize_logging()
print("setup")
def teardown(self):
print("teardown")
def test_schema(self):
data = [Row(x=float(x)) for x in range(100)]
df = self.sql.createDataFrame(data)
tfs.print_schema(df)
def test_map_blocks_0(self):
data = [Row(x=float(x)) for x in range(10)]
df = self.sql.createDataFrame(data)
with tf.Graph().as_default():
# The placeholder that corresponds to column 'x'
x = tf.placeholder(tf.double, shape=[None], name="x")
# The output that adds 3 to x
y = tf.Variable(3.0, dtype=tf.double, name='y')
z = tf.add(x, y, name='z')
# The resulting dataframe
df2 = tfs.map_blocks(z, df)
data2 = df2.collect()
assert data2[0].z == 3.0, data2
def test_map_blocks_1(self):
data = [Row(x=float(x)) for x in range(10)]
df = self.sql.createDataFrame(data)
with tf.Graph().as_default():
# The placeholder that corresponds to column 'x'
x = tf.placeholder(tf.double, shape=[None], name="x")
# The output that adds 3 to x
z = tf.add(x, 3, name='z')
# The resulting dataframe
df2 = tfs.map_blocks(z, df)
data2 = df2.collect()
assert data2[0].z == 3.0, data2
def test_map_blocks_2(self):
data = [dict(x=float(x)) for x in range(10)]
df = pd.DataFrame(data)
with tf.Graph().as_default():
# The placeholder that corresponds to column 'x'
x = tf.placeholder(tf.double, shape=[None], name="x")
# The output that adds 3 to x
z = tf.add(x, 3, name='z')
# The resulting dataframe
df2 = tfs.map_blocks(z, df)
data2 = df2
assert data2.z[0] == 3.0, data2
def test_map_blocks_3(self):
data = [dict(x=float(x)) for x in range(10)]
df = pd.DataFrame(data)
with tf.Graph().as_default():
# The placeholder that corresponds to column 'x'
x = tf.placeholder(tf.double, shape=[None], name="x")
# The output that adds 3 to x
y = tf.Variable(3.0, dtype=tf.double, name='y')
z = tf.add(x, y, name='z')
# The resulting dataframe
df2 = tfs.map_blocks(z, df)
data2 = df2
assert data2.z[0] == 3.0, data2
def test_map_blocks_feed_dict(self):
data = [dict(x_spark=float(x)) for x in range(10)]
df = self.sql.createDataFrame(data)
with tf.Graph().as_default():
# The placeholder that corresponds to column 'x'
x = tf.placeholder(tf.double, shape=[None], name="x_tf")
# The output that adds 3 to x
y = tf.Variable(3.0, dtype=tf.double, name='y')
z = tf.add(x, y, name='z')
# The resulting dataframe
df2 = tfs.map_blocks(z, df, feed_dict={'x_tf': 'x_spark'})
data2 = df2.collect()
assert data2[0].z == 3.0, data2
def test_map_rows_1(self):
data = [Row(x=float(x)) for x in range(5)]
df = self.sql.createDataFrame(data)
with tf.Graph().as_default():
# The placeholder that corresponds to column 'x'
x = tf.placeholder(tf.double, shape=[], name="x")
# The output that adds 3 to x
z = tf.add(x, 3, name='z')
# The resulting dataframe
df2 = tfs.map_rows(z, df)
data2 = df2.collect()
assert data2[0].z == 3.0, data2
def test_map_rows_2(self):
data = [Row(y=float(y)) for y in range(5)]
df = self.sql.createDataFrame(data)
with tf.Graph().as_default():
# The placeholder that corresponds to column 'x'
x = tf.placeholder(tf.double, shape=[], name="x")
# The output that adds 3 to x
z = tf.add(x, 3, name='z')
# The resulting dataframe
df2 = tfs.map_rows(z, df, feed_dict={'x':'y'})
data2 = df2.collect()
assert data2[0].z == 3.0, data2
def test_map_rows_3(self):
data = [dict(x=float(x)) for x in range(5)]
df = pd.DataFrame(data)
with tf.Graph().as_default():
# The placeholder that corresponds to column 'x'
x = tf.placeholder(tf.double, shape=[None], name="x")
# The output that adds 3 to x
z = tf.add(x, 3, name='z')
# The resulting dataframe
df2 = tfs.map_rows(z, df)
data2 = df2
assert data2.z[0] == 3.0, data2
def test_map_rows_feed_dict(self):
data = [dict(x_spark=float(x)) for x in range(5)]
df = self.sql.createDataFrame(data)
with tf.Graph().as_default():
# The placeholder that corresponds to column 'x'
x = tf.placeholder(tf.double, shape=[], name="x_tf")
# The output that adds 3 to x
z = tf.add(x, 3, name='z')
# The resulting dataframe
df2 = tfs.map_rows(z, df, feed_dict={'x_tf': 'x_spark'})
data2 = df2.collect()
assert data2[0].z == 3.0, data2
def test_map_rows_4(self):
data = [dict(y=float(x)) for x in range(5)]
df = pd.DataFrame(data)
with tf.Graph().as_default():
# The placeholder that corresponds to column 'x'
x = tf.placeholder(tf.double, shape=[None], name="x")
# The output that adds 3 to x
z = tf.add(x, 3, name='z')
# The resulting dataframe
df2 = tfs.map_rows(z, df, feed_dict={'x':'y'})
data2 = df2
assert data2.z[0] == 3.0, data2
def test_reduce_rows_0(self):
data = [Row(x=float(x)) for x in range(5)]
df = self.sql.createDataFrame(data)
with tf.Graph().as_default():
# The placeholder that corresponds to column 'x'
x_1 = tf.placeholder(tf.double, shape=[], name="x_1")
x_2 = tf.placeholder(tf.double, shape=[], name="x_2")
y = tf.Variable(0.0, dtype=tf.double, name='y')
x_0 = tf.add(y, x_1, name='x_0')
# The output that adds 3 to x
x = tf.add(x_0, x_2, name='x')
# The resulting number
res = tfs.reduce_rows(x, df)
assert res == sum([r.x for r in data])
def test_reduce_rows_1(self):
data = [Row(x=float(x)) for x in range(5)]
df = self.sql.createDataFrame(data)
with tf.Graph().as_default():
# The placeholder that corresponds to column 'x'
x_1 = tf.placeholder(tf.double, shape=[], name="x_1")
x_2 = tf.placeholder(tf.double, shape=[], name="x_2")
# The output that adds 3 to x
x = tf.add(x_1, x_2, name='x')
# The resulting number
res = tfs.reduce_rows(x, df)
assert res == sum([r.x for r in data])
def test_append_shape(self):
data = [Row(x=float(x)) for x in range(5)]
df = self.sql.createDataFrame(data)
ddf = tfs.append_shape(df, col('x'), [-1])
with tf.Graph().as_default():
# The placeholder that corresponds to column 'x'
x_1 = tf.placeholder(tf.double, shape=[], name="x_1")
x_2 = tf.placeholder(tf.double, shape=[], name="x_2")
# The output that adds 3 to x
x = tf.add(x_1, x_2, name='x')
# The resulting number
res = tfs.reduce_rows(x, ddf)
assert res == sum([r.x for r in data])
# This test fails
def test_reduce_blocks_1(self):
data = [Row(x=float(x)) for x in range(5)]
df = self.sql.createDataFrame(data)
with tf.Graph().as_default():
# The placeholder that corresponds to column 'x'
x_input = tf.placeholder(tf.double, shape=[None], name="x_input")
# The output that adds 3 to x
x = tf.reduce_sum(x_input, name='x')
# The resulting dataframe
res = tfs.reduce_blocks(x, df)
assert res == sum([r.x for r in data])
def test_map_blocks_trimmed_0(self):
data = [Row(x=float(x)) for x in range(3)]
df = self.sql.createDataFrame(data)
with tf.Graph().as_default():
# The placeholder that corresponds to column 'x'
x = tf.placeholder(tf.double, shape=[None], name="x")
# The output discards the input and return a single row of data
z = tf.Variable([2], dtype=tf.double, name='z')
# The resulting dataframe
df2 = tfs.map_blocks(z, df, trim=True)
data2 = df2.collect()
assert data2[0].z == 2, data2
def test_map_blocks_trimmed_1(self):
data = [Row(x=float(x)) for x in range(3)]
df = self.sql.createDataFrame(data)
with tf.Graph().as_default():
# The placeholder that corresponds to column 'x'
x = tf.placeholder(tf.double, shape=[None], name="x")
# The output discards the input and return a single row of data
z = tf.constant([2], name='z')
# The resulting dataframe
df2 = tfs.map_blocks(z, df, trim=True)
data2 = df2.collect()
assert data2[0].z == 2, data2
def test_groupby_1(self):
data = [Row(x=float(x), key=str(x % 2)) for x in range(4)]
df = self.sql.createDataFrame(data)
gb = df.groupBy("key")
with tf.Graph().as_default():
x_input = tfs.block(df, "x", tf_name="x_input")
x = tf.reduce_sum(x_input, [0], name='x')
df2 = tfs.aggregate(x, gb)
data2 = df2.collect()
assert data2 == [Row(key='0', x=2.0), Row(key='1', x=4.0)], data2
if __name__ == "__main__":
# Some testing stuff that should not be executed
with tf.Graph().as_default():
x_input = tf.placeholder(tf.double, shape=[2, 3], name="x_input")
x = tf.reduce_sum(x_input, [0], name='x')
print(g.as_graph_def())
with tf.Graph().as_default():
x = tf.constant([1, 1], name="x")
y = tf.reduce_sum(x, [0], name='y')
print(g.as_graph_def())
with tf.Graph().as_default():
tf.constant(1, name="x1")
tf.constant(1.0, name="x2")
tf.constant([1.0], name="x3")
tf.constant([1.0, 2.0], name="x4")
print(g.as_graph_def())
| 38.789474
| 77
| 0.553596
| 1,624
| 11,055
| 3.664409
| 0.077586
| 0.024366
| 0.036969
| 0.04369
| 0.831457
| 0.804235
| 0.798353
| 0.780541
| 0.77466
| 0.766594
| 0
| 0.028695
| 0.309634
| 11,055
| 284
| 78
| 38.926056
| 0.751048
| 0.154229
| 0
| 0.630542
| 0
| 0
| 0.018176
| 0
| 0
| 0
| 0
| 0
| 0.083744
| 1
| 0.108374
| false
| 0
| 0.044335
| 0
| 0.157635
| 0.044335
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 6
|
216b5746faa8062eca734359c9bfd1956146b675
| 46
|
py
|
Python
|
src/core/__init__.py
|
lokaimoma/Flask-QR-Code-Web-APP
|
5789753757aa1939119a799cbc6bda023ea75bbc
|
[
"MIT"
] | 2
|
2022-03-05T18:54:15.000Z
|
2022-03-24T12:19:22.000Z
|
src/core/__init__.py
|
lokaimoma/Flask-QR-Code-Web-APP
|
5789753757aa1939119a799cbc6bda023ea75bbc
|
[
"MIT"
] | null | null | null |
src/core/__init__.py
|
lokaimoma/Flask-QR-Code-Web-APP
|
5789753757aa1939119a799cbc6bda023ea75bbc
|
[
"MIT"
] | null | null | null |
# Created by Kelvin_Clark on 3/13/22, 6:24 PM
| 23
| 45
| 0.717391
| 11
| 46
| 2.909091
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.210526
| 0.173913
| 46
| 1
| 46
| 46
| 0.631579
| 0.934783
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
dcd81de62bb49b3c841b68d1fb1765984071461f
| 117
|
py
|
Python
|
tasks/diamond/__init__.py
|
shu65/sequence_alinger_evaluation
|
37bbb6f199f7ee12b4dc7313f3eecc5d84f8cc51
|
[
"BSD-2-Clause"
] | null | null | null |
tasks/diamond/__init__.py
|
shu65/sequence_alinger_evaluation
|
37bbb6f199f7ee12b4dc7313f3eecc5d84f8cc51
|
[
"BSD-2-Clause"
] | null | null | null |
tasks/diamond/__init__.py
|
shu65/sequence_alinger_evaluation
|
37bbb6f199f7ee12b4dc7313f3eecc5d84f8cc51
|
[
"BSD-2-Clause"
] | null | null | null |
from tasks.diamond.main import Main
from tasks.diamond.make_db import MakeDb
from tasks.diamond.blastx import Blastx
| 29.25
| 40
| 0.846154
| 19
| 117
| 5.157895
| 0.473684
| 0.27551
| 0.489796
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.102564
| 117
| 3
| 41
| 39
| 0.933333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 6
|
dcf0dd05fa9ac82cf46b5c576814db3c0b69f9b3
| 31
|
py
|
Python
|
cazoo_cloudwatch_events/__init__.py
|
Cazoo-uk/cazoo-cloudwatch-events
|
c3af34a0a8e533c5d659b30edd0b4b47f0b1ee52
|
[
"MIT"
] | 1
|
2021-02-19T21:12:09.000Z
|
2021-02-19T21:12:09.000Z
|
cazoo_cloudwatch_events/__init__.py
|
Cazoo-uk/cazoo-cloudwatch-events
|
c3af34a0a8e533c5d659b30edd0b4b47f0b1ee52
|
[
"MIT"
] | 1
|
2021-06-02T01:50:46.000Z
|
2021-06-02T01:50:46.000Z
|
cazoo_cloudwatch_events/__init__.py
|
Cazoo-uk/cazoo-cloudwatch-events
|
c3af34a0a8e533c5d659b30edd0b4b47f0b1ee52
|
[
"MIT"
] | null | null | null |
from .events import put_events
| 15.5
| 30
| 0.83871
| 5
| 31
| 5
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.129032
| 31
| 1
| 31
| 31
| 0.925926
| 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
| 1
| 0
|
0
| 6
|
0d10e341564cb603383db2c9576cea09a186b6a2
| 818,722
|
py
|
Python
|
data/chimera_wt_dup_overlay.py
|
agorelick/akt1
|
9e6452b6c84fde2594186456e108aeae21fd35ba
|
[
"MIT"
] | null | null | null |
data/chimera_wt_dup_overlay.py
|
agorelick/akt1
|
9e6452b6c84fde2594186456e108aeae21fd35ba
|
[
"MIT"
] | null | null | null |
data/chimera_wt_dup_overlay.py
|
agorelick/akt1
|
9e6452b6c84fde2594186456e108aeae21fd35ba
|
[
"MIT"
] | 1
|
2021-07-17T00:35:29.000Z
|
2021-07-17T00:35:29.000Z
|
import cPickle, base64
try:
from SimpleSession.versions.v65 import beginRestore,\
registerAfterModelsCB, reportRestoreError, checkVersion
except ImportError:
from chimera import UserError
raise UserError('Cannot open session that was saved in a'
' newer version of Chimera; update your version')
checkVersion([1, 12, 41623])
import chimera
from chimera import replyobj
replyobj.status('Restoring session...', \
blankAfter=0)
replyobj.status('Beginning session restore...', \
blankAfter=0, secondary=True)
beginRestore()
def restoreCoreModels():
from SimpleSession.versions.v65 import init, restoreViewer, \
restoreMolecules, restoreColors, restoreSurfaces, \
restoreVRML, restorePseudoBondGroups, restoreModelAssociations
molInfo = cPickle.loads(base64.b64decode('gAJ9cQEoVRFyaWJib25JbnNpZGVDb2xvcnECSwJOfYdVCWJhbGxTY2FsZXEDSwJHP9AAAAAAAAB9h1UJcG9pbnRTaXplcQRLAkc/8AAAAAAAAH2HVQVjb2xvcnEFSwJLAH1xBksBXXEHSwFhc4dVCnJpYmJvblR5cGVxCEsCSwB9h1UKc3RpY2tTY2FsZXEJSwJHP/AAAAAAAAB9h1UMbW1DSUZIZWFkZXJzcQpdcQsoTk5lVQxhcm9tYXRpY01vZGVxDEsCSwF9h1UKdmR3RGVuc2l0eXENSwJHQBQAAAAAAAB9h1UGaGlkZGVucQ5LAol9h1UNYXJvbWF0aWNDb2xvcnEPSwJOfYdVD3JpYmJvblNtb290aGluZ3EQSwJLAH2HVQlhdXRvY2hhaW5xEUsCiH2HVQpwZGJWZXJzaW9ucRJLAksCfYdVCG9wdGlvbmFscRN9cRRVCG9wZW5lZEFzcRWIiUsCKFVFL1VzZXJzL2dvcmVsaWNhL0dvb2dsZSBEcml2ZS9NU0tDQy9BS1QxL01EL3d0X21kXzBfMTAwL2F2ZXJhZ2Vfd3QucGRiTk5LAXRxFn1xFyhVSS9Vc2Vycy9nb3JlbGljYS9Hb29nbGUgRHJpdmUvTVNLQ0MvQUtUMS9NRC9kdXBlX21kXzBfMTAwL2F2ZXJhZ2VfZHVwZS5wZGJOTol0cRhdcRlLAWFzh4dzVQ9sb3dlckNhc2VDaGFpbnNxGksCiX2HVQlsaW5lV2lkdGhxG0sCRz/wAAAAAAAAfYdVD3Jlc2lkdWVMYWJlbFBvc3EcSwJLAH2HVQRuYW1lcR1LAlgQAAAAYXZlcmFnZV9kdXBlLnBkYn1xHlgOAAAAYXZlcmFnZV93dC5wZGJdcR9LAGFzh1UPYXJvbWF0aWNEaXNwbGF5cSBLAol9h1UPcmliYm9uU3RpZmZuZXNzcSFLAkc/6ZmZmZmZmn2HVQpwZGJIZWFkZXJzcSJdcSMofXEkKFgFAAAAU0hFRVRdcSUoWCgAAABTSEVFVCAgICAxICAgMSAxIElMRSBBICAgNiAgQVJHIEEgIDE1ICAwcSZYKAAAAFNIRUVUICAgIDIgICAyIDEgVFJQIEEgIDIyICBMWVMgQSAgMzAgIDBxJ1goAAAAU0hFRVQgICAgMyAgIDMgMSBQSEUgQSAgMzUgIFRZUiBBICAzOCAgMHEoWCgAAABTSEVFVCAgICA0ICAgNCAxIENZUyBBICA2MCAgVEhSIEEgIDY1ICAwcSlYKAAAAFNIRUVUICAgIDUgICA1IDEgVEhSIEEgIDcyICBMRVUgQSAgNzggIDBxKlgoAAAAU0hFRVQgICAgNiAgIDYgMSBWQUwgQSAgODMgIFRIUiBBICA4NyAgMHErWCgAAABTSEVFVCAgICA3ICAgNyAxIFBIRSBBIDE1MCAgTEVVIEEgMTU1ICAwcSxYKAAAAFNIRUVUICAgIDggICA4IDEgR0xZIEEgMTU3ICBHTFkgQSAxNTkgIDBxLVgoAAAAU0hFRVQgICAgOSAgIDkgMSBHTFkgQSAxNjIgIEdMVSBBIDE2OSAgMHEuWCgAAABTSEVFVCAgIDEwICAxMCAxIFRZUiBBIDE3NSAgTFlTIEEgMTgyICAwcS9YKAAAAFNIRUVUICAgMTEgIDExIDEgTEVVIEEgMjEzICBHTE4gQSAyMTggIDBxMFgoAAAAU0hFRVQgICAxMiAgMTIgMSBBUkcgQSAyMjIgIEdMVSBBIDIyOCAgMHExWCgAAABTSEVFVCAgIDEzICAxMyAxIExFVSBBIDI4MCAgTEVVIEEgMjgyICAwcTJYKAAAAFNIRUVUICAgMTQgIDE0IDEgSUxFIEEgMjg4ICBJTEUgQSAyOTAgIDBxM2VYBQAAAEhFTElYXXE0KFhMAAAASEVMSVggICAgMSAgIDEgQVNOIEEgICA1MyAgUEhFIEEgICA1NSAgMSAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgM3E1WEwAAABIRUxJWCAgICAyICAgMiBQUk8gQSAgIDkzICBHTFkgQSAgMTA5ICAxICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIDE3cTZYTAAAAEhFTElYICAgIDMgICAzIExZUyBBICAxODMgIElMRSBBICAxODYgIDEgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIDRxN1hMAAAASEVMSVggICAgNCAgIDQgQVNQIEEgIDE5MCAgR0xOIEEgIDIwMyAgMSAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAxNHE4WEwAAABIRUxJWCAgICA1ICAgNSBMRVUgQSAgMjM1ICBHTFUgQSAgMjQyICAxICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICA4cTlYTAAAAEhFTElYICAgIDYgICA2IEdMVSBBICAyNDcgIExZUyBBICAyNjggIDEgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgMjJxOlhMAAAASEVMSVggICAgNyAgIDcgTEVVIEEgIDI3NyAgQVNOIEEgIDI3OSAgMSAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgM3E7WEwAAABIRUxJWCAgICA4ICAgOCBQUk8gQSAgMzE4ICBHTFUgQSAgMzIyICAxICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICA1cTxYTAAAAEhFTElYICAgIDkgICA5IEFSRyBBICAzMjggIENZUyBBICAzNDQgIDEgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgMTdxPVhMAAAASEVMSVggICAxMCAgMTAgSElTIEEgIDM1NCAgTUVUIEEgIDM2MyAgMSAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAxMHE+WEwAAABIRUxJWCAgIDExICAxMSBQUk8gQSAgMzc0ICBMRVUgQSAgMzgzICAxICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIDEwcT9YTAAAAEhFTElYICAgMTIgIDEyIEFTUCBBICAzOTggIE1FVCBBICA0MDMgIDEgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIDZxQFhMAAAASEVMSVggICAxMyAgMTMgVFJQIEEgIDQxMyAgVFlSIEEgIDQxNyAgMSAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgNXFBWEwAAABIRUxJWCAgIDE0ICAxNCBHTFUgQSAgNDQwICBBTEEgQSAgNDQ0ICAxICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICA1cUJldX1xQyhYBQAAAFNIRUVUXXFEKFgoAAAAU0hFRVQgICAgMSAgIDEgMSBJTEUgQSAgIDYgIEFSRyBBICAxNSAgMHFFWCgAAABTSEVFVCAgICAyICAgMiAxIFRSUCBBICAyMiAgTFlTIEEgIDMwICAwcUZYKAAAAFNIRUVUICAgIDMgICAzIDEgR0xOIEEgIDYxICBUSFIgQSAgNjUgIDBxR1goAAAAU0hFRVQgICAgNCAgIDQgMSBUSFIgQSAgNzIgIEFSRyBBICA3NiAgMHFIWCgAAABTSEVFVCAgICA1ICAgNSAxIFBIRSBBIDE2MCAgTEVVIEEgMTY1ICAwcUlYKAAAAFNIRUVUICAgIDYgICA2IDEgR0xZIEEgMTcyICBHTFUgQSAxNzkgIDBxSlgoAAAAU0hFRVQgICAgNyAgIDcgMSBUWVIgQSAxODUgIExZUyBBIDE5MiAgMHFLWCgAAABTSEVFVCAgICA4ICAgOCAxIFNFUiBBIDIyNiAgVEhSIEEgMjI5ICAwcUxYKAAAAFNIRUVUICAgIDkgICA5IDEgQVJHIEEgMjMyICBNRVQgQSAyMzcgIDBxTVgoAAAAU0hFRVQgICAxMCAgMTAgMSBMRVUgQSAyOTAgIExFVSBBIDI5MiAgMHFOWCgAAABTSEVFVCAgIDExICAxMSAxIElMRSBBIDI5OCAgSUxFIEEgMzAwICAwcU9lWAUAAABIRUxJWF1xUChYTAAAAEhFTElYICAgIDEgICAxIFRIUiBBICAxMDIgIEdMVSBBICAxMDggIDEgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIDdxUVhMAAAASEVMSVggICAgMiAgIDIgR0xOIEEgIDEyMyAgR0xVIEEgIDEyNiAgMSAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgNHFSWEwAAABIRUxJWCAgICAzICAgMyBQUk8gQSAgMTM1ICBHTFUgQSAgMTQyICAxICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICA4cVNYTAAAAEhFTElYICAgIDQgICA0IExZUyBBICAxOTMgIFZBTCBBICAxOTUgIDEgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIDNxVFhMAAAASEVMSVggICAgNSAgIDUgVkFMIEEgIDIwMiAgQVNOIEEgIDIxNCAgMSAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAxM3FVWEwAAABIRUxJWCAgICA2ICAgNiBMRVUgQSAgMjQ1ICBHTFUgQSAgMjUyICAxICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICA4cVZYTAAAAEhFTElYICAgIDcgICA3IEdMVSBBICAyNTcgIExFVSBBICAyNzQgIDEgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgMThxV1hMAAAASEVMSVggICAgOCAgIDggTEVVIEEgIDI4NyAgQVNOIEEgIDI4OSAgMSAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgM3FYWEwAAABIRUxJWCAgICA5ICAgOSBBTEEgQSAgMzI3ICBHTFUgQSAgMzMyICAxICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICA2cVlYTAAAAEhFTElYICAgMTAgIDEwIEFTUCBBICAzNDEgIENZUyBBICAzNTQgIDEgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgMTRxWlhMAAAASEVMSVggICAxMSAgMTEgSElTIEEgIDM2NCAgTUVUIEEgIDM3MyAgMSAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAxMHFbWEwAAABIRUxJWCAgIDEyICAxMiBBTEEgQSAgMzg2ICBMRVUgQSAgMzk0ICAxICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICA5cVxYTAAAAEhFTElYICAgMTMgIDEzIExZUyBBICA0MTAgIE1FVCBBICA0MTMgIDEgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIDRxXVhMAAAASEVMSVggICAxNCAgMTQgQVJHIEEgIDQxNiAgUEhFIEEgIDQxOCAgMSAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgM3FeWEwAAABIRUxJWCAgIDE1ICAxNSBUUlAgQSAgNDIzICBHTFUgQSAgNDI4ICAxICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICA2cV9YTAAAAEhFTElYICAgMTYgIDE2IEdMVSBBICA0NTAgIFRIUiBBICA0NTMgIDEgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIDRxYFhMAAAASEVMSVggICAxNyAgMTcgQVNQIEEgIDQ2NSAgU0VSIEEgIDQ3MyAgMSAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgOXFhZXVlVQNpZHNxYksCSwFLAIZ9cWNLAEsAhl1xZEsAYXOHVQ5zdXJmYWNlT3BhY2l0eXFlSwJHv/AAAAAAAAB9h1UQYXJvbWF0aWNMaW5lVHlwZXFmSwJLAn2HVRRyaWJib25IaWRlc01haW5jaGFpbnFnSwKIfYdVB2Rpc3BsYXlxaEsCiH2HdS4='))
resInfo = cPickle.loads(base64.b64decode('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'))
atomInfo = cPickle.loads(base64.b64decode('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'))
bondInfo = cPickle.loads(base64.b64decode('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'))
crdInfo = cPickle.loads(base64.b64decode('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'))
surfInfo = {'category': (1, u'main', {}), 'probeRadius': (1, 1.4, {}), 'pointSize': (1, 1, {}), 'name': [u'MSMS main surface of average_wt.pdb'], 'density': (1, 2, {}), 'colorMode': (1, 1, {}), 'useLighting': (1, True, {}), 'transparencyBlendMode': (1, 1, {}), 'molecule': [0], 'smoothLines': (1, False, {}), 'lineWidth': (1, 1, {}), 'allComponents': (1, False, {}), 'twoSidedLighting': (1, True, {}), 'customVisibility': [None], 'drawMode': (1, 0, {}), 'display': (1, True, {}), 'customColors': [(0, None, {})]}
vrmlInfo = {'subid': (0, None, {}), 'display': (0, None, {}), 'id': (0, None, {}), 'vrmlString': [], 'name': (0, None, {})}
colors = {u'': ((0.721569, 0.721569, 0.815686), 1, u''), u'Ru': ((0.141176, 0.560784, 0.560784), 1, u'default'), u'firebrick': ((0.698039, 0.133333, 0.133333), 1, u'default'), u'Re': ((0.14902, 0.490196, 0.670588), 1, u'default'), u'Rf': ((0.8, 0, 0.34902), 1, u'default'), u'Ra': ((0, 0.490196, 0), 1, u'default'), u'Rb': ((0.439216, 0.180392, 0.690196), 1, u'default'), u'Rn': ((0.258824, 0.509804, 0.588235), 1, u'default'), u'Rh': ((0.0392157, 0.490196, 0.54902), 1, u'default'), u'Sr': ((0, 1, 0), 1, u'default'), u'Be': ((0.760784, 1, 0), 1, u'default'), u'Ba': ((0, 0.788235, 0), 1, u'default'), u'Bh': ((0.878431, 0, 0.219608), 1, u'default'), u'Bi': ((0.619608, 0.309804, 0.709804), 1, u'default'), u'Bk': ((0.541176, 0.309804, 0.890196), 1, u'default'), u'Br': ((0.65098, 0.160784, 0.160784), 1, u'default'), u'orange': ((1, 0.498039, 0), 1, u'default'), u'H': ((1, 1, 1), 1, u'default'), u'P': ((1, 0.501961, 0), 1, u'default'), u'Os': ((0.14902, 0.4, 0.588235), 1, u'default'), u'Ge': ((0.4, 0.560784, 0.560784), 1, u'default'), u'Gd': ((0.270588, 1, 0.780392), 1, u'default'),
u'Ga': ((0.760784, 0.560784, 0.560784), 1, u'default'), u'Pr': ((0.85098, 1, 0.780392), 1, u'default'), u'Pt': ((0.815686, 0.815686, 0.878431), 1, u'default'), u'Pu': ((0, 0.419608, 1), 1, u'default'), u'C': ((0.564706, 0.564706, 0.564706), 1, u'default'), u'Pb': ((0.341176, 0.34902, 0.380392), 1, u'default'), u'forest green': ((0.133333, 0.545098, 0.133333), 1, u'default'), u'Pa': ((0, 0.631373, 1), 1, u'default'), u'Pd': ((0, 0.411765, 0.521569), 1, u'default'), u'Cd': ((1, 0.85098, 0.560784), 1, u'default'), u'Po': ((0.670588, 0.360784, 0), 1, u'default'), u'Pm': ((0.639216, 1, 0.780392), 1, u'default'), u'Hs': ((0.901961, 0, 0.180392), 1, u'default'), u'Ho': ((0, 1, 0.611765), 1, u'default'), u'Hf': ((0.301961, 0.760784, 1), 1, u'default'), u'Hg': ((0.721569, 0.721569, 0.815686), 1, u'default'), u'He': ((0.85098, 1, 1), 1, u'default'), u'Md': ((0.701961, 0.0509804, 0.65098), 1, u'default'), u'Mg': ((0.541176, 1, 0), 1, u'default'), u'dim gray': ((0.411765, 0.411765, 0.411765), 1, u'default'), u'K': ((0.560784, 0.25098, 0.831373), 1, u'default'), u'Mn': ((0.611765, 0.478431, 0.780392), 1, u'default'),
u'O': ((1, 0.0509804, 0.0509804), 1, u'default'), u'dark gray': ((0.662745, 0.662745, 0.662745), 1, u'default'), u'Mt': ((0.921569, 0, 0.14902), 1, u'default'), u'S': ((1, 1, 0.188235), 1, u'default'), u'W': ((0.129412, 0.580392, 0.839216), 1, u'default'), u'sky blue': ((0.529412, 0.807843, 0.921569), 1, u'default'), u'cornflower blue': ((0.392157, 0.584314, 0.929412), 1, u'default'), u'plum': ((0.866667, 0.627451, 0.866667), 1, u'default'), u'Eu': ((0.380392, 1, 0.780392), 1, u'default'), u'Es': ((0.701961, 0.121569, 0.831373), 1, u'default'), u'Er': ((0, 0.901961, 0.458824), 1, u'default'), u'Ni': ((0.313725, 0.815686, 0.313725), 1, u'default'), u'No': ((0.741176, 0.0509804, 0.529412), 1, u'default'), u'Na': ((0.670588, 0.360784, 0.94902), 1, u'default'), u'Nb': ((0.45098, 0.760784, 0.788235), 1, u'default'), u'Nd': ((0.780392, 1, 0.780392), 1, u'default'), u'Ne': ((0.701961, 0.890196, 0.960784), 1, u'default'), u'Np': ((0, 0.501961, 1), 1, u'default'), u'Fr': ((0.258824, 0, 0.4), 1, u'default'), u'Fe': ((0.878431, 0.4, 0.2), 1, u'default'), u'Fm': ((0.701961, 0.121569, 0.729412), 1, u'default'),
u'B': ((1, 0.709804, 0.709804), 1, u'default'), u'F': ((0.564706, 0.878431, 0.313725), 1, u'default'), u'navy blue': ((0, 0, 0.501961), 1, u'default'), u'Zn': ((0.490196, 0.501961, 0.690196), 1, u'default'), u'N': ((0.188235, 0.313725, 0.972549), 1, u'default'), u'Kr': ((0.360784, 0.721569, 0.819608), 1, u'default'), u'Si': ((0.941176, 0.784314, 0.627451), 1, u'default'), u'Sn': ((0.4, 0.501961, 0.501961), 1, u'default'), u'Sm': ((0.560784, 1, 0.780392), 1, u'default'), u'V': ((0.65098, 0.65098, 0.670588), 1, u'default'), u'Sc': ((0.901961, 0.901961, 0.901961), 1, u'default'), u'Sb': ((0.619608, 0.388235, 0.709804), 1, u'default'), u'Sg': ((0.85098, 0, 0.270588), 1, u'default'), u'Se': ((1, 0.631373, 0), 1, u'default'), u'Co': ((0.941176, 0.564706, 0.627451), 1, u'default'), u'Cm': ((0.470588, 0.360784, 0.890196), 1, u'default'), u'Cl': ((0.121569, 0.941176, 0.121569), 1, u'default'), u'dark red': ((0.545098, 0, 0), 1, u'default'), u'Ca': ((0.239216, 1, 0), 1, u'default'), u'medium blue': ((0.196078, 0.196078, 0.803922), 1, u'default'), u'Cf': ((0.631373, 0.211765, 0.831373), 1, u'default'),
u'Ce': ((1, 1, 0.780392), 1, u'default'), u'Xe': ((0.258824, 0.619608, 0.690196), 1, u'default'), u'Tm': ((0, 0.831373, 0.321569), 1, u'default'), u'Cs': ((0.341176, 0.0901961, 0.560784), 1, u'default'), u'Cr': ((0.541176, 0.6, 0.780392), 1, u'default'), u'Cu': ((0.784314, 0.501961, 0.2), 1, u'default'), u'La': ((0.439216, 0.831373, 1), 1, u'default'), u'Li': ((0.8, 0.501961, 1), 1, u'default'), u'Tl': ((0.65098, 0.329412, 0.301961), 1, u'default'), u'Lu': ((0, 0.670588, 0.141176), 1, u'default'), u'Lr': ((0.780392, 0, 0.4), 1, u'default'), u'Th': ((0, 0.729412, 1), 1, u'default'), u'Ti': ((0.74902, 0.760784, 0.780392), 1, u'default'), u'tan': ((0.823529, 0.705882, 0.54902), 1, u'default'), u'Te': ((0.831373, 0.478431, 0), 1, u'default'), u'Tb': ((0.188235, 1, 0.780392), 1, u'default'), u'Tc': ((0.231373, 0.619608, 0.619608), 1, u'default'), u'Ta': ((0.301961, 0.65098, 1), 1, u'default'), u'Yb': ((0, 0.74902, 0.219608), 1, u'default'), u'Db': ((0.819608, 0, 0.309804), 1, u'default'), u'Zr': ((0.580392, 0.878431, 0.878431), 1, u'default'), u'Dy': ((0.121569, 1, 0.780392), 1, u'default'),
u'I': ((0.580392, 0, 0.580392), 1, u'default'), u'medium purple': ((0.576471, 0.439216, 0.858824), 1, u'default'), u'U': ((0, 0.560784, 1), 1, u'default'), u'Y': ((0.580392, 1, 1), 1, u'default'), u'Ac': ((0.439216, 0.670588, 0.980392), 1, u'default'), u'Ag': ((0.752941, 0.752941, 0.752941), 1, u'default'), u'Ir': ((0.0901961, 0.329412, 0.529412), 1, u'default'), u'Am': ((0.329412, 0.360784, 0.94902), 1, u'default'), u'Al': ((0.74902, 0.65098, 0.65098), 1, u'default'), u'As': ((0.741176, 0.501961, 0.890196), 1, u'default'), u'Ar': ((0.501961, 0.819608, 0.890196), 1, u'default'), u'Au': ((1, 0.819608, 0.137255), 1, u'default'), u'At': ((0.458824, 0.309804, 0.270588), 1, u'default'), u'In': ((0.65098, 0.458824, 0.45098), 1, u'default'), u'Mo': ((0.329412, 0.709804, 0.709804), 1, u'default'), u'light gray': ((0.827451, 0.827451, 0.827451), 1, u'default')}
materials = {u'default': ((0.85, 0.85, 0.85), 30), u'': ((0.85, 0.85, 0.85), 30)}
pbInfo = {'category': [u'distance monitor'], 'bondInfo': [{'color': (0, None, {}), 'atoms': [], 'label': (0, None, {}), 'halfbond': (0, None, {}), 'labelColor': (0, None, {}), 'labelOffset': (0, None, {}), 'drawMode': (0, None, {}), 'display': (0, None, {})}], 'lineType': (1, 2, {}), 'color': (1, 11, {}), 'optional': {'fixedLabels': (True, False, (1, False, {}))}, 'display': (1, True, {}), 'showStubBonds': (1, False, {}), 'lineWidth': (1, 1, {}), 'stickScale': (1, 1, {}), 'id': [-2]}
modelAssociations = {}
colorInfo = (14, (u'green', (0, 1, 0, 1)), {(u'navy blue', (0, 0, 0.501961, 1)): [9], (u'', (0.866667, 0.627451, 0.866667, 1)): [3], (u'', (0.847059, 0.847059, 0.847059, 1)): [2], (u'', (0.964706, 0.964706, 0.964706, 1)): [10], (u'sky blue', (0.529412, 0.807843, 0.921569, 1)): [1], (u'', (0.392157, 0.584314, 0.929412, 0.185185)): [6], (u'', (0.6, 0.6, 0.6, 1)): [5], (u'tan', (0.823529, 0.705882, 0.54902, 1)): [0], (u'', (0.392157, 0.584314, 0.929412, 1)): [4], (u'yellow', (1, 1, 0, 1)): [11], (u'cornflower blue', (0.392157, 0.584314, 0.929412, 1)): [7], (u'white', (1, 1, 1, 1)): [12], (u'red', (1, 0, 0, 1)): [8]})
viewerInfo = {'cameraAttrs': {'center': (11.6575, 31.060999985695, 66.617242120401), 'fieldOfView': 48.223439400501, 'nearFar': (106.85146852349, 24.733250082095), 'ortho': False, 'eyeSeparation': 50.8, 'focal': 67.929499995232}, 'viewerAttrs': {'silhouetteColor': None, 'clipping': False, 'showSilhouette': False, 'showShadows': False, 'viewSize': 42.618179987528, 'labelsOnTop': True, 'depthCueRange': (0.5, 1), 'silhouetteWidth': 2, 'singleLayerTransparency': True, 'shadowTextureSize': 2048, 'backgroundImage': [None, 1, 2, 1, 0, 0], 'backgroundGradient': [('Chimera default', [(1, 1, 1, 1), (0, 0, 1, 1)], 1), 1, 0, 0], 'depthCue': True, 'highlight': 0, 'scaleFactor': 1.1580423340922, 'angleDependentTransparency': True, 'backgroundMethod': 0}, 'viewerHL': 13, 'screenWidthMM': 508, 'cameraMode': 'mono', 'detail': 5, 'viewerFog': None, 'viewerBG': 12}
replyobj.status("Initializing session restore...", blankAfter=0,
secondary=True)
from SimpleSession.versions.v65 import expandSummary
init(dict(enumerate(expandSummary(colorInfo))))
replyobj.status("Restoring colors...", blankAfter=0,
secondary=True)
restoreColors(colors, materials)
replyobj.status("Restoring molecules...", blankAfter=0,
secondary=True)
restoreMolecules(molInfo, resInfo, atomInfo, bondInfo, crdInfo)
replyobj.status("Restoring surfaces...", blankAfter=0,
secondary=True)
restoreSurfaces(surfInfo)
replyobj.status("Restoring VRML models...", blankAfter=0,
secondary=True)
restoreVRML(vrmlInfo)
replyobj.status("Restoring pseudobond groups...", blankAfter=0,
secondary=True)
restorePseudoBondGroups(pbInfo)
replyobj.status("Restoring model associations...", blankAfter=0,
secondary=True)
restoreModelAssociations(modelAssociations)
replyobj.status("Restoring camera...", blankAfter=0,
secondary=True)
restoreViewer(viewerInfo)
try:
restoreCoreModels()
except:
reportRestoreError("Error restoring core models")
replyobj.status("Restoring extension info...", blankAfter=0,
secondary=True)
try:
import StructMeasure
from StructMeasure.DistMonitor import restoreDistances
registerAfterModelsCB(restoreDistances, 1)
except:
reportRestoreError("Error restoring distances in session")
def restoreMidasBase():
formattedPositions = {'session-start': (1.3221962895048, 43.121238989583, (11.6575, 31.060999985695, 65.842107751114), (106.90121697183, 24.782998530439), 67.929499995232, {(1, 0): ((-37.327304979059, 75.966538577231, 111.76524221926), (-0.9847573844034725, -0.0023463698321184246, -0.17391776335798045, 160.06763263321)), (0, 0): ((82.160317609531, 15.842391391122, 74.224175364188), (0.06253486699613185, -0.9921424038723574, 0.10836438920676972, 105.11780385927))}, {(1, 0, 'Molecule'): (False, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, False, 5.0), (0, 0, 'Molecule'): (False, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, False, 5.0)}, 4, (10.192427291246752, 34.30812641345891, 65.8421077511078), False, 48.223439400501)}
import Midas
Midas.restoreMidasBase(formattedPositions)
try:
restoreMidasBase()
except:
reportRestoreError('Error restoring Midas base state')
def restoreMidasText():
from Midas import midas_text
midas_text.aliases = {}
midas_text.userSurfCategories = {}
try:
restoreMidasText()
except:
reportRestoreError('Error restoring Midas text state')
def restore_cap_attributes():
cap_attributes = \
{
'cap_attributes': [
{
'cap_color': None,
'class': 'Model_Capper_State',
'display_style': None,
'surface': ( 0, 0, ),
'version': 1,
},
],
'cap_color': None,
'cap_offset': 0.01,
'class': 'Caps_State',
'default_cap_offset': 0.01,
'mesh_style': False,
'shown': True,
'subdivision_factor': 1.0,
'version': 1,
}
import SurfaceCap.session
SurfaceCap.session.restore_cap_attributes(cap_attributes)
registerAfterModelsCB(restore_cap_attributes)
def restore_volume_data():
volume_data_state = \
{
'class': 'Volume_Manager_State',
'data_and_regions_state': [ ],
'version': 2,
}
from VolumeViewer import session
session.restore_volume_data_state(volume_data_state)
try:
restore_volume_data()
except:
reportRestoreError('Error restoring volume data')
geomData = {'AxisManager': {}, 'CentroidManager': {}, 'PlaneManager': {}}
try:
from StructMeasure.Geometry import geomManager
geomManager._restoreSession(geomData)
except:
reportRestoreError("Error restoring geometry objects in session")
def restoreSession_RibbonStyleEditor():
import SimpleSession
import RibbonStyleEditor
userScalings = [('licorice', [[0.35, 0.35], [0.35, 0.35], [0.35, 0.35], [0.35, 0.35, 0.35, 0.35], [0.35, 0.35]])]
userXSections = []
userResidueClasses = []
residueData = [(2, 'Chimera default', 'rounded', u'amino acid'), (3, 'Chimera default', 'rounded', u'amino acid'), (4, 'Chimera default', 'rounded', u'amino acid'), (5, 'Chimera default', 'rounded', u'amino acid'), (6, 'Chimera default', 'rounded', u'amino acid'), (7, 'Chimera default', 'rounded', u'amino acid'), (8, 'Chimera default', 'rounded', u'amino acid'), (9, 'Chimera default', 'rounded', u'amino acid'), (10, 'Chimera default', 'rounded', u'amino acid'), (11, 'Chimera default', 'rounded', u'amino acid'), (12, 'Chimera default', 'rounded', u'amino acid'), (13, 'Chimera default', 'rounded', u'amino acid'), (14, 'Chimera default', 'rounded', u'amino acid'), (15, 'Chimera default', 'rounded', u'amino acid'), (16, 'Chimera default', 'rounded', u'amino acid'), (17, 'Chimera default', 'rounded', u'amino acid'), (18, 'Chimera default', 'rounded', u'amino acid'), (19, 'Chimera default', 'rounded', u'amino acid'), (20, 'Chimera default', 'rounded', u'amino acid'), (21, 'Chimera default', 'rounded', u'amino acid'), (22, 'Chimera default', 'rounded', u'amino acid'), (23, 'Chimera default', 'rounded', u'amino acid'),
(24, 'Chimera default', 'rounded', u'amino acid'), (25, 'Chimera default', 'rounded', u'amino acid'), (26, 'Chimera default', 'rounded', u'amino acid'), (27, 'Chimera default', 'rounded', u'amino acid'), (28, 'Chimera default', 'rounded', u'amino acid'), (29, 'Chimera default', 'rounded', u'amino acid'), (30, 'Chimera default', 'rounded', u'amino acid'), (31, 'Chimera default', 'rounded', u'amino acid'), (32, 'Chimera default', 'rounded', u'amino acid'), (33, 'Chimera default', 'rounded', u'amino acid'), (34, 'Chimera default', 'rounded', u'amino acid'), (35, 'Chimera default', 'rounded', u'amino acid'), (36, 'Chimera default', 'rounded', u'amino acid'), (37, 'Chimera default', 'rounded', u'amino acid'), (38, 'Chimera default', 'rounded', u'amino acid'), (39, 'Chimera default', 'rounded', u'amino acid'), (40, 'Chimera default', 'rounded', u'amino acid'), (41, 'Chimera default', 'rounded', u'amino acid'), (42, 'Chimera default', 'rounded', u'amino acid'), (43, 'Chimera default', 'rounded', u'amino acid'), (44, 'Chimera default', 'rounded', u'amino acid'),
(45, 'Chimera default', 'rounded', u'amino acid'), (46, 'Chimera default', 'rounded', u'amino acid'), (47, 'Chimera default', 'rounded', u'amino acid'), (48, 'Chimera default', 'rounded', u'amino acid'), (49, 'Chimera default', 'rounded', u'amino acid'), (50, 'Chimera default', 'rounded', u'amino acid'), (51, 'Chimera default', 'rounded', u'amino acid'), (52, 'Chimera default', 'rounded', u'amino acid'), (53, 'Chimera default', 'rounded', u'amino acid'), (54, 'Chimera default', 'rounded', u'amino acid'), (55, 'Chimera default', 'rounded', u'amino acid'), (56, 'Chimera default', 'rounded', u'amino acid'), (57, 'Chimera default', 'rounded', u'amino acid'), (58, 'Chimera default', 'rounded', u'amino acid'), (59, 'Chimera default', 'rounded', u'amino acid'), (60, 'Chimera default', 'rounded', u'amino acid'), (61, 'Chimera default', 'rounded', u'amino acid'), (62, 'Chimera default', 'rounded', u'amino acid'), (63, 'Chimera default', 'rounded', u'amino acid'), (64, 'Chimera default', 'rounded', u'amino acid'), (65, 'Chimera default', 'rounded', u'amino acid'),
(66, 'Chimera default', 'rounded', u'amino acid'), (67, 'Chimera default', 'rounded', u'amino acid'), (68, 'Chimera default', 'rounded', u'amino acid'), (69, 'Chimera default', 'rounded', u'amino acid'), (70, 'Chimera default', 'rounded', u'amino acid'), (71, 'Chimera default', 'rounded', u'amino acid'), (72, 'Chimera default', 'rounded', u'amino acid'), (73, 'Chimera default', 'rounded', u'amino acid'), (74, 'Chimera default', 'rounded', u'amino acid'), (75, 'Chimera default', 'rounded', u'amino acid'), (76, 'Chimera default', 'rounded', u'amino acid'), (77, 'Chimera default', 'rounded', u'amino acid'), (78, 'Chimera default', 'rounded', u'amino acid'), (79, 'Chimera default', 'rounded', u'amino acid'), (80, 'Chimera default', 'rounded', u'amino acid'), (81, 'Chimera default', 'rounded', u'amino acid'), (82, 'Chimera default', 'rounded', u'amino acid'), (83, 'Chimera default', 'rounded', u'amino acid'), (84, 'Chimera default', 'rounded', u'amino acid'), (85, 'Chimera default', 'rounded', u'amino acid'), (86, 'Chimera default', 'rounded', u'amino acid'),
(87, 'Chimera default', 'rounded', u'amino acid'), (88, 'Chimera default', 'rounded', u'amino acid'), (89, 'Chimera default', 'rounded', u'amino acid'), (90, 'Chimera default', 'rounded', u'amino acid'), (91, 'Chimera default', 'rounded', u'amino acid'), (92, 'Chimera default', 'rounded', u'amino acid'), (93, 'Chimera default', 'rounded', u'amino acid'), (94, 'Chimera default', 'rounded', u'amino acid'), (95, 'Chimera default', 'rounded', u'amino acid'), (96, 'Chimera default', 'rounded', u'amino acid'), (97, 'Chimera default', 'rounded', u'amino acid'), (98, 'Chimera default', 'rounded', u'amino acid'), (99, 'Chimera default', 'rounded', u'amino acid'), (100, 'Chimera default', 'rounded', u'amino acid'), (101, 'Chimera default', 'rounded', u'amino acid'), (102, 'Chimera default', 'rounded', u'amino acid'), (103, 'Chimera default', 'rounded', u'amino acid'), (104, 'Chimera default', 'rounded', u'amino acid'), (105, 'Chimera default', 'rounded', u'amino acid'), (106, 'Chimera default', 'rounded', u'amino acid'), (107, 'Chimera default', 'rounded', u'amino acid'),
(108, 'Chimera default', 'rounded', u'amino acid'), (109, 'Chimera default', 'rounded', u'amino acid'), (110, 'Chimera default', 'rounded', u'amino acid'), (111, 'Chimera default', 'rounded', u'amino acid'), (112, 'Chimera default', 'rounded', u'amino acid'), (113, 'Chimera default', 'rounded', u'amino acid'), (114, 'Chimera default', 'rounded', u'amino acid'), (115, 'Chimera default', 'rounded', u'amino acid'), (116, 'Chimera default', 'rounded', u'amino acid'), (117, 'Chimera default', 'rounded', u'amino acid'), (118, 'Chimera default', 'rounded', u'amino acid'), (119, 'Chimera default', 'rounded', u'amino acid'), (120, 'Chimera default', 'rounded', u'amino acid'), (121, 'Chimera default', 'rounded', u'amino acid'), (122, 'Chimera default', 'rounded', u'amino acid'), (123, 'Chimera default', 'rounded', u'amino acid'), (124, 'Chimera default', 'rounded', u'amino acid'), (125, 'Chimera default', 'rounded', u'amino acid'), (126, 'Chimera default', 'rounded', u'amino acid'), (127, 'Chimera default', 'rounded', u'amino acid'), (128, 'Chimera default', 'rounded', u'amino acid'),
(129, 'Chimera default', 'rounded', u'amino acid'), (130, 'Chimera default', 'rounded', u'amino acid'), (131, 'Chimera default', 'rounded', u'amino acid'), (132, 'Chimera default', 'rounded', u'amino acid'), (133, 'Chimera default', 'rounded', u'amino acid'), (134, 'Chimera default', 'rounded', u'amino acid'), (135, 'Chimera default', 'rounded', u'amino acid'), (136, 'Chimera default', 'rounded', u'amino acid'), (137, 'Chimera default', 'rounded', u'amino acid'), (138, 'Chimera default', 'rounded', u'amino acid'), (139, 'Chimera default', 'rounded', u'amino acid'), (140, 'Chimera default', 'rounded', u'amino acid'), (141, 'Chimera default', 'rounded', u'amino acid'), (142, 'Chimera default', 'rounded', u'amino acid'), (143, 'Chimera default', 'rounded', u'amino acid'), (144, 'Chimera default', 'rounded', u'amino acid'), (145, 'Chimera default', 'rounded', u'amino acid'), (146, 'Chimera default', 'rounded', u'amino acid'), (147, 'Chimera default', 'rounded', u'amino acid'), (148, 'Chimera default', 'rounded', u'amino acid'), (149, 'Chimera default', 'rounded', u'amino acid'),
(150, 'Chimera default', 'rounded', u'amino acid'), (151, 'Chimera default', 'rounded', u'amino acid'), (152, 'Chimera default', 'rounded', u'amino acid'), (153, 'Chimera default', 'rounded', u'amino acid'), (154, 'Chimera default', 'rounded', u'amino acid'), (155, 'Chimera default', 'rounded', u'amino acid'), (156, 'Chimera default', 'rounded', u'amino acid'), (157, 'Chimera default', 'rounded', u'amino acid'), (158, 'Chimera default', 'rounded', u'amino acid'), (159, 'Chimera default', 'rounded', u'amino acid'), (160, 'Chimera default', 'rounded', u'amino acid'), (161, 'Chimera default', 'rounded', u'amino acid'), (162, 'Chimera default', 'rounded', u'amino acid'), (163, 'Chimera default', 'rounded', u'amino acid'), (164, 'Chimera default', 'rounded', u'amino acid'), (165, 'Chimera default', 'rounded', u'amino acid'), (166, 'Chimera default', 'rounded', u'amino acid'), (167, 'Chimera default', 'rounded', u'amino acid'), (168, 'Chimera default', 'rounded', u'amino acid'), (169, 'Chimera default', 'rounded', u'amino acid'), (170, 'Chimera default', 'rounded', u'amino acid'),
(171, 'Chimera default', 'rounded', u'amino acid'), (172, 'Chimera default', 'rounded', u'amino acid'), (173, 'Chimera default', 'rounded', u'amino acid'), (174, 'Chimera default', 'rounded', u'amino acid'), (175, 'Chimera default', 'rounded', u'amino acid'), (176, 'Chimera default', 'rounded', u'amino acid'), (177, 'Chimera default', 'rounded', u'amino acid'), (178, 'Chimera default', 'rounded', u'amino acid'), (179, 'Chimera default', 'rounded', u'amino acid'), (180, 'Chimera default', 'rounded', u'amino acid'), (181, 'Chimera default', 'rounded', u'amino acid'), (182, 'Chimera default', 'rounded', u'amino acid'), (183, 'Chimera default', 'rounded', u'amino acid'), (184, 'Chimera default', 'rounded', u'amino acid'), (185, 'Chimera default', 'rounded', u'amino acid'), (186, 'Chimera default', 'rounded', u'amino acid'), (187, 'Chimera default', 'rounded', u'amino acid'), (188, 'Chimera default', 'rounded', u'amino acid'), (189, 'Chimera default', 'rounded', u'amino acid'), (190, 'Chimera default', 'rounded', u'amino acid'), (191, 'Chimera default', 'rounded', u'amino acid'),
(192, 'Chimera default', 'rounded', u'amino acid'), (193, 'Chimera default', 'rounded', u'amino acid'), (194, 'Chimera default', 'rounded', u'amino acid'), (195, 'Chimera default', 'rounded', u'amino acid'), (196, 'Chimera default', 'rounded', u'amino acid'), (197, 'Chimera default', 'rounded', u'amino acid'), (198, 'Chimera default', 'rounded', u'amino acid'), (199, 'Chimera default', 'rounded', u'amino acid'), (200, 'Chimera default', 'rounded', u'amino acid'), (201, 'Chimera default', 'rounded', u'amino acid'), (202, 'Chimera default', 'rounded', u'amino acid'), (203, 'Chimera default', 'rounded', u'amino acid'), (204, 'Chimera default', 'rounded', u'amino acid'), (205, 'Chimera default', 'rounded', u'amino acid'), (206, 'Chimera default', 'rounded', u'amino acid'), (207, 'Chimera default', 'rounded', u'amino acid'), (208, 'Chimera default', 'rounded', u'amino acid'), (209, 'Chimera default', 'rounded', u'amino acid'), (210, 'Chimera default', 'rounded', u'amino acid'), (211, 'Chimera default', 'rounded', u'amino acid'), (212, 'Chimera default', 'rounded', u'amino acid'),
(213, 'Chimera default', 'rounded', u'amino acid'), (214, 'Chimera default', 'rounded', u'amino acid'), (215, 'Chimera default', 'rounded', u'amino acid'), (216, 'Chimera default', 'rounded', u'amino acid'), (217, 'Chimera default', 'rounded', u'amino acid'), (218, 'Chimera default', 'rounded', u'amino acid'), (219, 'Chimera default', 'rounded', u'amino acid'), (220, 'Chimera default', 'rounded', u'amino acid'), (221, 'Chimera default', 'rounded', u'amino acid'), (222, 'Chimera default', 'rounded', u'amino acid'), (223, 'Chimera default', 'rounded', u'amino acid'), (224, 'Chimera default', 'rounded', u'amino acid'), (225, 'Chimera default', 'rounded', u'amino acid'), (226, 'Chimera default', 'rounded', u'amino acid'), (227, 'Chimera default', 'rounded', u'amino acid'), (228, 'Chimera default', 'rounded', u'amino acid'), (229, 'Chimera default', 'rounded', u'amino acid'), (230, 'Chimera default', 'rounded', u'amino acid'), (231, 'Chimera default', 'rounded', u'amino acid'), (232, 'Chimera default', 'rounded', u'amino acid'), (233, 'Chimera default', 'rounded', u'amino acid'),
(234, 'Chimera default', 'rounded', u'amino acid'), (235, 'Chimera default', 'rounded', u'amino acid'), (236, 'Chimera default', 'rounded', u'amino acid'), (237, 'Chimera default', 'rounded', u'amino acid'), (238, 'Chimera default', 'rounded', u'amino acid'), (239, 'Chimera default', 'rounded', u'amino acid'), (240, 'Chimera default', 'rounded', u'amino acid'), (241, 'Chimera default', 'rounded', u'amino acid'), (242, 'Chimera default', 'rounded', u'amino acid'), (243, 'Chimera default', 'rounded', u'amino acid'), (244, 'Chimera default', 'rounded', u'amino acid'), (245, 'Chimera default', 'rounded', u'amino acid'), (246, 'Chimera default', 'rounded', u'amino acid'), (247, 'Chimera default', 'rounded', u'amino acid'), (248, 'Chimera default', 'rounded', u'amino acid'), (249, 'Chimera default', 'rounded', u'amino acid'), (250, 'Chimera default', 'rounded', u'amino acid'), (251, 'Chimera default', 'rounded', u'amino acid'), (252, 'Chimera default', 'rounded', u'amino acid'), (253, 'Chimera default', 'rounded', u'amino acid'), (254, 'Chimera default', 'rounded', u'amino acid'),
(255, 'Chimera default', 'rounded', u'amino acid'), (256, 'Chimera default', 'rounded', u'amino acid'), (257, 'Chimera default', 'rounded', u'amino acid'), (258, 'Chimera default', 'rounded', u'amino acid'), (259, 'Chimera default', 'rounded', u'amino acid'), (260, 'Chimera default', 'rounded', u'amino acid'), (261, 'Chimera default', 'rounded', u'amino acid'), (262, 'Chimera default', 'rounded', u'amino acid'), (263, 'Chimera default', 'rounded', u'amino acid'), (264, 'Chimera default', 'rounded', u'amino acid'), (265, 'Chimera default', 'rounded', u'amino acid'), (266, 'Chimera default', 'rounded', u'amino acid'), (267, 'Chimera default', 'rounded', u'amino acid'), (268, 'Chimera default', 'rounded', u'amino acid'), (269, 'Chimera default', 'rounded', u'amino acid'), (270, 'Chimera default', 'rounded', u'amino acid'), (271, 'Chimera default', 'rounded', u'amino acid'), (272, 'Chimera default', 'rounded', u'amino acid'), (273, 'Chimera default', 'rounded', u'amino acid'), (274, 'Chimera default', 'rounded', u'amino acid'), (275, 'Chimera default', 'rounded', u'amino acid'),
(276, 'Chimera default', 'rounded', u'amino acid'), (277, 'Chimera default', 'rounded', u'amino acid'), (278, 'Chimera default', 'rounded', u'amino acid'), (279, 'Chimera default', 'rounded', u'amino acid'), (280, 'Chimera default', 'rounded', u'amino acid'), (281, 'Chimera default', 'rounded', u'amino acid'), (282, 'Chimera default', 'rounded', u'amino acid'), (283, 'Chimera default', 'rounded', u'amino acid'), (284, 'Chimera default', 'rounded', u'amino acid'), (285, 'Chimera default', 'rounded', u'amino acid'), (286, 'Chimera default', 'rounded', u'amino acid'), (287, 'Chimera default', 'rounded', u'amino acid'), (288, 'Chimera default', 'rounded', u'amino acid'), (289, 'Chimera default', 'rounded', u'amino acid'), (290, 'Chimera default', 'rounded', u'amino acid'), (291, 'Chimera default', 'rounded', u'amino acid'), (292, 'Chimera default', 'rounded', u'amino acid'), (293, 'Chimera default', 'rounded', u'amino acid'), (294, 'Chimera default', 'rounded', u'amino acid'), (295, 'Chimera default', 'rounded', u'amino acid'), (296, 'Chimera default', 'rounded', u'amino acid'),
(297, 'Chimera default', 'rounded', u'amino acid'), (298, 'Chimera default', 'rounded', u'amino acid'), (299, 'Chimera default', 'rounded', u'amino acid'), (300, 'Chimera default', 'rounded', u'amino acid'), (301, 'Chimera default', 'rounded', u'amino acid'), (302, 'Chimera default', 'rounded', u'amino acid'), (303, 'Chimera default', 'rounded', u'amino acid'), (304, 'Chimera default', 'rounded', u'amino acid'), (305, 'Chimera default', 'rounded', u'amino acid'), (306, 'Chimera default', 'rounded', u'amino acid'), (307, 'Chimera default', 'rounded', u'amino acid'), (308, 'Chimera default', 'rounded', u'amino acid'), (309, 'Chimera default', 'rounded', u'amino acid'), (310, 'Chimera default', 'rounded', u'amino acid'), (311, 'Chimera default', 'rounded', u'amino acid'), (312, 'Chimera default', 'rounded', u'amino acid'), (313, 'Chimera default', 'rounded', u'amino acid'), (314, 'Chimera default', 'rounded', u'amino acid'), (315, 'Chimera default', 'rounded', u'amino acid'), (316, 'Chimera default', 'rounded', u'amino acid'), (317, 'Chimera default', 'rounded', u'amino acid'),
(318, 'Chimera default', 'rounded', u'amino acid'), (319, 'Chimera default', 'rounded', u'amino acid'), (320, 'Chimera default', 'rounded', u'amino acid'), (321, 'Chimera default', 'rounded', u'amino acid'), (322, 'Chimera default', 'rounded', u'amino acid'), (323, 'Chimera default', 'rounded', u'amino acid'), (324, 'Chimera default', 'rounded', u'amino acid'), (325, 'Chimera default', 'rounded', u'amino acid'), (326, 'Chimera default', 'rounded', u'amino acid'), (327, 'Chimera default', 'rounded', u'amino acid'), (328, 'Chimera default', 'rounded', u'amino acid'), (329, 'Chimera default', 'rounded', u'amino acid'), (330, 'Chimera default', 'rounded', u'amino acid'), (331, 'Chimera default', 'rounded', u'amino acid'), (332, 'Chimera default', 'rounded', u'amino acid'), (333, 'Chimera default', 'rounded', u'amino acid'), (334, 'Chimera default', 'rounded', u'amino acid'), (335, 'Chimera default', 'rounded', u'amino acid'), (336, 'Chimera default', 'rounded', u'amino acid'), (337, 'Chimera default', 'rounded', u'amino acid'), (338, 'Chimera default', 'rounded', u'amino acid'),
(339, 'Chimera default', 'rounded', u'amino acid'), (340, 'Chimera default', 'rounded', u'amino acid'), (341, 'Chimera default', 'rounded', u'amino acid'), (342, 'Chimera default', 'rounded', u'amino acid'), (343, 'Chimera default', 'rounded', u'amino acid'), (344, 'Chimera default', 'rounded', u'amino acid'), (345, 'Chimera default', 'rounded', u'amino acid'), (346, 'Chimera default', 'rounded', u'amino acid'), (347, 'Chimera default', 'rounded', u'amino acid'), (348, 'Chimera default', 'rounded', u'amino acid'), (349, 'Chimera default', 'rounded', u'amino acid'), (350, 'Chimera default', 'rounded', u'amino acid'), (351, 'Chimera default', 'rounded', u'amino acid'), (352, 'Chimera default', 'rounded', u'amino acid'), (353, 'Chimera default', 'rounded', u'amino acid'), (354, 'Chimera default', 'rounded', u'amino acid'), (355, 'Chimera default', 'rounded', u'amino acid'), (356, 'Chimera default', 'rounded', u'amino acid'), (357, 'Chimera default', 'rounded', u'amino acid'), (358, 'Chimera default', 'rounded', u'amino acid'), (359, 'Chimera default', 'rounded', u'amino acid'),
(360, 'Chimera default', 'rounded', u'amino acid'), (361, 'Chimera default', 'rounded', u'amino acid'), (362, 'Chimera default', 'rounded', u'amino acid'), (363, 'Chimera default', 'rounded', u'amino acid'), (364, 'Chimera default', 'rounded', u'amino acid'), (365, 'Chimera default', 'rounded', u'amino acid'), (366, 'Chimera default', 'rounded', u'amino acid'), (367, 'Chimera default', 'rounded', u'amino acid'), (368, 'Chimera default', 'rounded', u'amino acid'), (369, 'Chimera default', 'rounded', u'amino acid'), (370, 'Chimera default', 'rounded', u'amino acid'), (371, 'Chimera default', 'rounded', u'amino acid'), (372, 'Chimera default', 'rounded', u'amino acid'), (373, 'Chimera default', 'rounded', u'amino acid'), (374, 'Chimera default', 'rounded', u'amino acid'), (375, 'Chimera default', 'rounded', u'amino acid'), (376, 'Chimera default', 'rounded', u'amino acid'), (377, 'Chimera default', 'rounded', u'amino acid'), (378, 'Chimera default', 'rounded', u'amino acid'), (379, 'Chimera default', 'rounded', u'amino acid'), (380, 'Chimera default', 'rounded', u'amino acid'),
(381, 'Chimera default', 'rounded', u'amino acid'), (382, 'Chimera default', 'rounded', u'amino acid'), (383, 'Chimera default', 'rounded', u'amino acid'), (384, 'Chimera default', 'rounded', u'amino acid'), (385, 'Chimera default', 'rounded', u'amino acid'), (386, 'Chimera default', 'rounded', u'amino acid'), (387, 'Chimera default', 'rounded', u'amino acid'), (388, 'Chimera default', 'rounded', u'amino acid'), (389, 'Chimera default', 'rounded', u'amino acid'), (390, 'Chimera default', 'rounded', u'amino acid'), (391, 'Chimera default', 'rounded', u'amino acid'), (392, 'Chimera default', 'rounded', u'amino acid'), (393, 'Chimera default', 'rounded', u'amino acid'), (394, 'Chimera default', 'rounded', u'amino acid'), (395, 'Chimera default', 'rounded', u'amino acid'), (396, 'Chimera default', 'rounded', u'amino acid'), (397, 'Chimera default', 'rounded', u'amino acid'), (398, 'Chimera default', 'rounded', u'amino acid'), (399, 'Chimera default', 'rounded', u'amino acid'), (400, 'Chimera default', 'rounded', u'amino acid'), (401, 'Chimera default', 'rounded', u'amino acid'),
(402, 'Chimera default', 'rounded', u'amino acid'), (403, 'Chimera default', 'rounded', u'amino acid'), (404, 'Chimera default', 'rounded', u'amino acid'), (405, 'Chimera default', 'rounded', u'amino acid'), (406, 'Chimera default', 'rounded', u'amino acid'), (407, 'Chimera default', 'rounded', u'amino acid'), (408, 'Chimera default', 'rounded', u'amino acid'), (409, 'Chimera default', 'rounded', u'amino acid'), (410, 'Chimera default', 'rounded', u'amino acid'), (411, 'Chimera default', 'rounded', u'amino acid'), (412, 'Chimera default', 'rounded', u'amino acid'), (413, 'Chimera default', 'rounded', u'amino acid'), (414, 'Chimera default', 'rounded', u'amino acid'), (415, 'Chimera default', 'rounded', u'amino acid'), (416, 'Chimera default', 'rounded', u'amino acid'), (417, 'Chimera default', 'rounded', u'amino acid'), (418, 'Chimera default', 'rounded', u'amino acid'), (419, 'Chimera default', 'rounded', u'amino acid'), (420, 'Chimera default', 'rounded', u'amino acid'), (421, 'Chimera default', 'rounded', u'amino acid'), (422, 'Chimera default', 'rounded', u'amino acid'),
(423, 'Chimera default', 'rounded', u'amino acid'), (424, 'Chimera default', 'rounded', u'amino acid'), (425, 'Chimera default', 'rounded', u'amino acid'), (426, 'Chimera default', 'rounded', u'amino acid'), (427, 'Chimera default', 'rounded', u'amino acid'), (428, 'Chimera default', 'rounded', u'amino acid'), (429, 'Chimera default', 'rounded', u'amino acid'), (430, 'Chimera default', 'rounded', u'amino acid'), (431, 'Chimera default', 'rounded', u'amino acid'), (432, 'Chimera default', 'rounded', u'amino acid'), (433, 'Chimera default', 'rounded', u'amino acid'), (434, 'Chimera default', 'rounded', u'amino acid'), (435, 'Chimera default', 'rounded', u'amino acid'), (436, 'Chimera default', 'rounded', u'amino acid'), (437, 'Chimera default', 'rounded', u'amino acid'), (438, 'Chimera default', 'rounded', u'amino acid'), (439, 'Chimera default', 'rounded', u'amino acid'), (440, 'Chimera default', 'rounded', u'amino acid'), (441, 'Chimera default', 'rounded', u'amino acid'), (442, 'Chimera default', 'rounded', u'amino acid'), (443, 'Chimera default', 'rounded', u'amino acid'),
(444, 'Chimera default', 'rounded', u'amino acid'), (445, 'Chimera default', 'rounded', u'amino acid'), (446, 'Chimera default', 'rounded', u'amino acid'), (447, 'Chimera default', 'rounded', u'amino acid'), (448, 'Chimera default', 'rounded', u'amino acid'), (449, 'Chimera default', 'rounded', u'amino acid'), (450, 'Chimera default', 'rounded', u'amino acid'), (451, 'Chimera default', 'rounded', u'amino acid'), (452, 'Chimera default', 'rounded', u'amino acid'), (453, 'Chimera default', 'rounded', u'amino acid'), (454, 'Chimera default', 'rounded', u'amino acid'), (455, 'Chimera default', 'rounded', u'amino acid'), (456, 'Chimera default', 'rounded', u'amino acid'), (457, 'Chimera default', 'rounded', u'amino acid'), (458, 'Chimera default', 'rounded', u'amino acid'), (459, 'Chimera default', 'rounded', u'amino acid'), (460, 'Chimera default', 'rounded', u'amino acid'), (461, 'Chimera default', 'rounded', u'amino acid'), (462, 'Chimera default', 'rounded', u'amino acid'), (463, 'Chimera default', 'rounded', u'amino acid'), (464, 'Chimera default', 'rounded', u'amino acid'),
(465, 'Chimera default', 'rounded', u'amino acid'), (466, 'Chimera default', 'rounded', u'amino acid'), (467, 'Chimera default', 'rounded', u'amino acid'), (468, 'Chimera default', 'rounded', u'amino acid'), (469, 'Chimera default', 'rounded', u'amino acid'), (470, 'Chimera default', 'rounded', u'amino acid'), (471, 'Chimera default', 'rounded', u'amino acid'), (472, 'Chimera default', 'rounded', u'amino acid'), (473, 'Chimera default', 'rounded', u'amino acid'), (474, 'Chimera default', 'rounded', u'amino acid'), (475, 'Chimera default', 'rounded', u'amino acid'), (476, 'Chimera default', 'rounded', u'amino acid'), (477, 'Chimera default', 'rounded', u'amino acid'), (478, 'Chimera default', 'rounded', u'amino acid'), (479, 'Chimera default', 'rounded', u'amino acid'), (480, 'Chimera default', 'rounded', u'amino acid'), (481, 'Chimera default', 'rounded', u'amino acid'), (482, 'Chimera default', 'rounded', u'amino acid'), (483, 'Chimera default', 'rounded', u'amino acid'), (484, 'Chimera default', 'rounded', u'amino acid'), (485, 'Chimera default', 'rounded', u'amino acid'),
(486, 'Chimera default', 'rounded', u'amino acid'), (487, 'Chimera default', 'rounded', u'amino acid'), (488, 'Chimera default', 'rounded', u'amino acid'), (489, 'Chimera default', 'rounded', u'amino acid'), (490, 'Chimera default', 'rounded', u'amino acid'), (491, 'Chimera default', 'rounded', u'amino acid'), (492, 'Chimera default', 'rounded', u'amino acid'), (493, 'Chimera default', 'rounded', u'amino acid'), (494, 'Chimera default', 'rounded', u'amino acid'), (495, 'Chimera default', 'rounded', u'amino acid'), (496, 'Chimera default', 'rounded', u'amino acid'), (497, 'Chimera default', 'rounded', u'amino acid'), (498, 'Chimera default', 'rounded', u'amino acid'), (499, 'Chimera default', 'rounded', u'amino acid'), (500, 'Chimera default', 'rounded', u'amino acid'), (501, 'Chimera default', 'rounded', u'amino acid'), (502, 'Chimera default', 'rounded', u'amino acid'), (503, 'Chimera default', 'rounded', u'amino acid'), (504, 'Chimera default', 'rounded', u'amino acid'), (505, 'Chimera default', 'rounded', u'amino acid'), (506, 'Chimera default', 'rounded', u'amino acid'),
(507, 'Chimera default', 'rounded', u'amino acid'), (508, 'Chimera default', 'rounded', u'amino acid'), (509, 'Chimera default', 'rounded', u'amino acid'), (510, 'Chimera default', 'rounded', u'amino acid'), (511, 'Chimera default', 'rounded', u'amino acid'), (512, 'Chimera default', 'rounded', u'amino acid'), (513, 'Chimera default', 'rounded', u'amino acid'), (514, 'Chimera default', 'rounded', u'amino acid'), (515, 'Chimera default', 'rounded', u'amino acid'), (516, 'Chimera default', 'rounded', u'amino acid'), (517, 'Chimera default', 'rounded', u'amino acid'), (518, 'Chimera default', 'rounded', u'amino acid'), (519, 'Chimera default', 'rounded', u'amino acid'), (520, 'Chimera default', 'rounded', u'amino acid'), (521, 'Chimera default', 'rounded', u'amino acid'), (522, 'Chimera default', 'rounded', u'amino acid'), (523, 'Chimera default', 'rounded', u'amino acid'), (524, 'Chimera default', 'rounded', u'amino acid'), (525, 'Chimera default', 'rounded', u'amino acid'), (526, 'Chimera default', 'rounded', u'amino acid'), (527, 'Chimera default', 'rounded', u'amino acid'),
(528, 'Chimera default', 'rounded', u'amino acid'), (529, 'Chimera default', 'rounded', u'amino acid'), (530, 'Chimera default', 'rounded', u'amino acid'), (531, 'Chimera default', 'rounded', u'amino acid'), (532, 'Chimera default', 'rounded', u'amino acid'), (533, 'Chimera default', 'rounded', u'amino acid'), (534, 'Chimera default', 'rounded', u'amino acid'), (535, 'Chimera default', 'rounded', u'amino acid'), (536, 'Chimera default', 'rounded', u'amino acid'), (537, 'Chimera default', 'rounded', u'amino acid'), (538, 'Chimera default', 'rounded', u'amino acid'), (539, 'Chimera default', 'rounded', u'amino acid'), (540, 'Chimera default', 'rounded', u'amino acid'), (541, 'Chimera default', 'rounded', u'amino acid'), (542, 'Chimera default', 'rounded', u'amino acid'), (543, 'Chimera default', 'rounded', u'amino acid'), (544, 'Chimera default', 'rounded', u'amino acid'), (545, 'Chimera default', 'rounded', u'amino acid'), (546, 'Chimera default', 'rounded', u'amino acid'), (547, 'Chimera default', 'rounded', u'amino acid'), (548, 'Chimera default', 'rounded', u'amino acid'),
(549, 'Chimera default', 'rounded', u'amino acid'), (550, 'Chimera default', 'rounded', u'amino acid'), (551, 'Chimera default', 'rounded', u'amino acid'), (552, 'Chimera default', 'rounded', u'amino acid'), (553, 'Chimera default', 'rounded', u'amino acid'), (554, 'Chimera default', 'rounded', u'amino acid'), (555, 'Chimera default', 'rounded', u'amino acid'), (556, 'Chimera default', 'rounded', u'amino acid'), (557, 'Chimera default', 'rounded', u'amino acid'), (558, 'Chimera default', 'rounded', u'amino acid'), (559, 'Chimera default', 'rounded', u'amino acid'), (560, 'Chimera default', 'rounded', u'amino acid'), (561, 'Chimera default', 'rounded', u'amino acid'), (562, 'Chimera default', 'rounded', u'amino acid'), (563, 'Chimera default', 'rounded', u'amino acid'), (564, 'Chimera default', 'rounded', u'amino acid'), (565, 'Chimera default', 'rounded', u'amino acid'), (566, 'Chimera default', 'rounded', u'amino acid'), (567, 'Chimera default', 'rounded', u'amino acid'), (568, 'Chimera default', 'rounded', u'amino acid'), (569, 'Chimera default', 'rounded', u'amino acid'),
(570, 'Chimera default', 'rounded', u'amino acid'), (571, 'Chimera default', 'rounded', u'amino acid'), (572, 'Chimera default', 'rounded', u'amino acid'), (573, 'Chimera default', 'rounded', u'amino acid'), (574, 'Chimera default', 'rounded', u'amino acid'), (575, 'Chimera default', 'rounded', u'amino acid'), (576, 'Chimera default', 'rounded', u'amino acid'), (577, 'Chimera default', 'rounded', u'amino acid'), (578, 'Chimera default', 'rounded', u'amino acid'), (579, 'Chimera default', 'rounded', u'amino acid'), (580, 'Chimera default', 'rounded', u'amino acid'), (581, 'Chimera default', 'rounded', u'amino acid'), (582, 'Chimera default', 'rounded', u'amino acid'), (583, 'Chimera default', 'rounded', u'amino acid'), (584, 'Chimera default', 'rounded', u'amino acid'), (585, 'Chimera default', 'rounded', u'amino acid'), (586, 'Chimera default', 'rounded', u'amino acid'), (587, 'Chimera default', 'rounded', u'amino acid'), (588, 'Chimera default', 'rounded', u'amino acid'), (589, 'Chimera default', 'rounded', u'amino acid'), (590, 'Chimera default', 'rounded', u'amino acid'),
(591, 'Chimera default', 'rounded', u'amino acid'), (592, 'Chimera default', 'rounded', u'amino acid'), (593, 'Chimera default', 'rounded', u'amino acid'), (594, 'Chimera default', 'rounded', u'amino acid'), (595, 'Chimera default', 'rounded', u'amino acid'), (596, 'Chimera default', 'rounded', u'amino acid'), (597, 'Chimera default', 'rounded', u'amino acid'), (598, 'Chimera default', 'rounded', u'amino acid'), (599, 'Chimera default', 'rounded', u'amino acid'), (600, 'Chimera default', 'rounded', u'amino acid'), (601, 'Chimera default', 'rounded', u'amino acid'), (602, 'Chimera default', 'rounded', u'amino acid'), (603, 'Chimera default', 'rounded', u'amino acid'), (604, 'Chimera default', 'rounded', u'amino acid'), (605, 'Chimera default', 'rounded', u'amino acid'), (606, 'Chimera default', 'rounded', u'amino acid'), (607, 'Chimera default', 'rounded', u'amino acid'), (608, 'Chimera default', 'rounded', u'amino acid'), (609, 'Chimera default', 'rounded', u'amino acid'), (610, 'Chimera default', 'rounded', u'amino acid'), (611, 'Chimera default', 'rounded', u'amino acid'),
(612, 'Chimera default', 'rounded', u'amino acid'), (613, 'Chimera default', 'rounded', u'amino acid'), (614, 'Chimera default', 'rounded', u'amino acid'), (615, 'Chimera default', 'rounded', u'amino acid'), (616, 'Chimera default', 'rounded', u'amino acid'), (617, 'Chimera default', 'rounded', u'amino acid'), (618, 'Chimera default', 'rounded', u'amino acid'), (619, 'Chimera default', 'rounded', u'amino acid'), (620, 'Chimera default', 'rounded', u'amino acid'), (621, 'Chimera default', 'rounded', u'amino acid'), (622, 'Chimera default', 'rounded', u'amino acid'), (623, 'Chimera default', 'rounded', u'amino acid'), (624, 'Chimera default', 'rounded', u'amino acid'), (625, 'Chimera default', 'rounded', u'amino acid'), (626, 'Chimera default', 'rounded', u'amino acid'), (627, 'Chimera default', 'rounded', u'amino acid'), (628, 'Chimera default', 'rounded', u'amino acid'), (629, 'Chimera default', 'rounded', u'amino acid'), (630, 'Chimera default', 'rounded', u'amino acid'), (631, 'Chimera default', 'rounded', u'amino acid'), (632, 'Chimera default', 'rounded', u'amino acid'),
(633, 'Chimera default', 'rounded', u'amino acid'), (634, 'Chimera default', 'rounded', u'amino acid'), (635, 'Chimera default', 'rounded', u'amino acid'), (636, 'Chimera default', 'rounded', u'amino acid'), (637, 'Chimera default', 'rounded', u'amino acid'), (638, 'Chimera default', 'rounded', u'amino acid'), (639, 'Chimera default', 'rounded', u'amino acid'), (640, 'Chimera default', 'rounded', u'amino acid'), (641, 'Chimera default', 'rounded', u'amino acid'), (642, 'Chimera default', 'rounded', u'amino acid'), (643, 'Chimera default', 'rounded', u'amino acid'), (644, 'Chimera default', 'rounded', u'amino acid'), (645, 'Chimera default', 'rounded', u'amino acid'), (646, 'Chimera default', 'rounded', u'amino acid'), (647, 'Chimera default', 'rounded', u'amino acid'), (648, 'Chimera default', 'rounded', u'amino acid'), (649, 'Chimera default', 'rounded', u'amino acid'), (650, 'Chimera default', 'rounded', u'amino acid'), (651, 'Chimera default', 'rounded', u'amino acid'), (652, 'Chimera default', 'rounded', u'amino acid'), (653, 'Chimera default', 'rounded', u'amino acid'),
(654, 'Chimera default', 'rounded', u'amino acid'), (655, 'Chimera default', 'rounded', u'amino acid'), (656, 'Chimera default', 'rounded', u'amino acid'), (657, 'Chimera default', 'rounded', u'amino acid'), (658, 'Chimera default', 'rounded', u'amino acid'), (659, 'Chimera default', 'rounded', u'amino acid'), (660, 'Chimera default', 'rounded', u'amino acid'), (661, 'Chimera default', 'rounded', u'amino acid'), (662, 'Chimera default', 'rounded', u'amino acid'), (663, 'Chimera default', 'rounded', u'amino acid'), (664, 'Chimera default', 'rounded', u'amino acid'), (665, 'Chimera default', 'rounded', u'amino acid'), (666, 'Chimera default', 'rounded', u'amino acid'), (667, 'Chimera default', 'rounded', u'amino acid'), (668, 'Chimera default', 'rounded', u'amino acid'), (669, 'Chimera default', 'rounded', u'amino acid'), (670, 'Chimera default', 'rounded', u'amino acid'), (671, 'Chimera default', 'rounded', u'amino acid'), (672, 'Chimera default', 'rounded', u'amino acid'), (673, 'Chimera default', 'rounded', u'amino acid'), (674, 'Chimera default', 'rounded', u'amino acid'),
(675, 'Chimera default', 'rounded', u'amino acid'), (676, 'Chimera default', 'rounded', u'amino acid'), (677, 'Chimera default', 'rounded', u'amino acid'), (678, 'Chimera default', 'rounded', u'amino acid'), (679, 'Chimera default', 'rounded', u'amino acid'), (680, 'Chimera default', 'rounded', u'amino acid'), (681, 'Chimera default', 'rounded', u'amino acid'), (682, 'Chimera default', 'rounded', u'amino acid'), (683, 'Chimera default', 'rounded', u'amino acid'), (684, 'Chimera default', 'rounded', u'amino acid'), (685, 'Chimera default', 'rounded', u'amino acid'), (686, 'Chimera default', 'rounded', u'amino acid'), (687, 'Chimera default', 'rounded', u'amino acid'), (688, 'Chimera default', 'rounded', u'amino acid'), (689, 'Chimera default', 'rounded', u'amino acid'), (690, 'Chimera default', 'rounded', u'amino acid'), (691, 'Chimera default', 'rounded', u'amino acid'), (692, 'Chimera default', 'rounded', u'amino acid'), (693, 'Chimera default', 'rounded', u'amino acid'), (694, 'Chimera default', 'rounded', u'amino acid'), (695, 'Chimera default', 'rounded', u'amino acid'),
(696, 'Chimera default', 'rounded', u'amino acid'), (697, 'Chimera default', 'rounded', u'amino acid'), (698, 'Chimera default', 'rounded', u'amino acid'), (699, 'Chimera default', 'rounded', u'amino acid'), (700, 'Chimera default', 'rounded', u'amino acid'), (701, 'Chimera default', 'rounded', u'amino acid'), (702, 'Chimera default', 'rounded', u'amino acid'), (703, 'Chimera default', 'rounded', u'amino acid'), (704, 'Chimera default', 'rounded', u'amino acid'), (705, 'Chimera default', 'rounded', u'amino acid'), (706, 'Chimera default', 'rounded', u'amino acid'), (707, 'Chimera default', 'rounded', u'amino acid'), (708, 'Chimera default', 'rounded', u'amino acid'), (709, 'Chimera default', 'rounded', u'amino acid'), (710, 'Chimera default', 'rounded', u'amino acid'), (711, 'Chimera default', 'rounded', u'amino acid'), (712, 'Chimera default', 'rounded', u'amino acid'), (713, 'Chimera default', 'rounded', u'amino acid'), (714, 'Chimera default', 'rounded', u'amino acid'), (715, 'Chimera default', 'rounded', u'amino acid'), (716, 'Chimera default', 'rounded', u'amino acid'),
(717, 'Chimera default', 'rounded', u'amino acid'), (718, 'Chimera default', 'rounded', u'amino acid'), (719, 'Chimera default', 'rounded', u'amino acid'), (720, 'Chimera default', 'rounded', u'amino acid'), (721, 'Chimera default', 'rounded', u'amino acid'), (722, 'Chimera default', 'rounded', u'amino acid'), (723, 'Chimera default', 'rounded', u'amino acid'), (724, 'Chimera default', 'rounded', u'amino acid'), (725, 'Chimera default', 'rounded', u'amino acid'), (726, 'Chimera default', 'rounded', u'amino acid'), (727, 'Chimera default', 'rounded', u'amino acid'), (728, 'Chimera default', 'rounded', u'amino acid'), (729, 'Chimera default', 'rounded', u'amino acid'), (730, 'Chimera default', 'rounded', u'amino acid'), (731, 'Chimera default', 'rounded', u'amino acid'), (732, 'Chimera default', 'rounded', u'amino acid'), (733, 'Chimera default', 'rounded', u'amino acid'), (734, 'Chimera default', 'rounded', u'amino acid'), (735, 'Chimera default', 'rounded', u'amino acid'), (736, 'Chimera default', 'rounded', u'amino acid'), (737, 'Chimera default', 'rounded', u'amino acid'),
(738, 'Chimera default', 'rounded', u'amino acid'), (739, 'Chimera default', 'rounded', u'amino acid'), (740, 'Chimera default', 'rounded', u'amino acid'), (741, 'Chimera default', 'rounded', u'amino acid'), (742, 'Chimera default', 'rounded', u'amino acid'), (743, 'Chimera default', 'rounded', u'amino acid'), (744, 'Chimera default', 'rounded', u'amino acid'), (745, 'Chimera default', 'rounded', u'amino acid'), (746, 'Chimera default', 'rounded', u'amino acid'), (747, 'Chimera default', 'rounded', u'amino acid'), (748, 'Chimera default', 'rounded', u'amino acid'), (749, 'Chimera default', 'rounded', u'amino acid'), (750, 'Chimera default', 'rounded', u'amino acid'), (751, 'Chimera default', 'rounded', u'amino acid'), (752, 'Chimera default', 'rounded', u'amino acid'), (753, 'Chimera default', 'rounded', u'amino acid'), (754, 'Chimera default', 'rounded', u'amino acid'), (755, 'Chimera default', 'rounded', u'amino acid'), (756, 'Chimera default', 'rounded', u'amino acid'), (757, 'Chimera default', 'rounded', u'amino acid'), (758, 'Chimera default', 'rounded', u'amino acid'),
(759, 'Chimera default', 'rounded', u'amino acid'), (760, 'Chimera default', 'rounded', u'amino acid'), (761, 'Chimera default', 'rounded', u'amino acid'), (762, 'Chimera default', 'rounded', u'amino acid'), (763, 'Chimera default', 'rounded', u'amino acid'), (764, 'Chimera default', 'rounded', u'amino acid'), (765, 'Chimera default', 'rounded', u'amino acid'), (766, 'Chimera default', 'rounded', u'amino acid'), (767, 'Chimera default', 'rounded', u'amino acid'), (768, 'Chimera default', 'rounded', u'amino acid'), (769, 'Chimera default', 'rounded', u'amino acid'), (770, 'Chimera default', 'rounded', u'amino acid'), (771, 'Chimera default', 'rounded', u'amino acid'), (772, 'Chimera default', 'rounded', u'amino acid'), (773, 'Chimera default', 'rounded', u'amino acid'), (774, 'Chimera default', 'rounded', u'amino acid'), (775, 'Chimera default', 'rounded', u'amino acid'), (776, 'Chimera default', 'rounded', u'amino acid'), (777, 'Chimera default', 'rounded', u'amino acid'), (778, 'Chimera default', 'rounded', u'amino acid'), (779, 'Chimera default', 'rounded', u'amino acid'),
(780, 'Chimera default', 'rounded', u'amino acid'), (781, 'Chimera default', 'rounded', u'amino acid'), (782, 'Chimera default', 'rounded', u'amino acid'), (783, 'Chimera default', 'rounded', u'amino acid'), (784, 'Chimera default', 'rounded', u'amino acid'), (785, 'Chimera default', 'rounded', u'amino acid'), (786, 'Chimera default', 'rounded', u'amino acid'), (787, 'Chimera default', 'rounded', u'amino acid'), (788, 'Chimera default', 'rounded', u'amino acid'), (789, 'Chimera default', 'rounded', u'amino acid'), (790, 'Chimera default', 'rounded', u'amino acid'), (791, 'Chimera default', 'rounded', u'amino acid'), (792, 'Chimera default', 'rounded', u'amino acid'), (793, 'Chimera default', 'rounded', u'amino acid'), (794, 'Chimera default', 'rounded', u'amino acid'), (795, 'Chimera default', 'rounded', u'amino acid'), (796, 'Chimera default', 'rounded', u'amino acid'), (797, 'Chimera default', 'rounded', u'amino acid'), (798, 'Chimera default', 'rounded', u'amino acid'), (799, 'Chimera default', 'rounded', u'amino acid'), (800, 'Chimera default', 'rounded', u'amino acid'),
(801, 'Chimera default', 'rounded', u'amino acid'), (802, 'Chimera default', 'rounded', u'amino acid'), (803, 'Chimera default', 'rounded', u'amino acid'), (804, 'Chimera default', 'rounded', u'amino acid'), (805, 'Chimera default', 'rounded', u'amino acid'), (806, 'Chimera default', 'rounded', u'amino acid'), (807, 'Chimera default', 'rounded', u'amino acid'), (808, 'Chimera default', 'rounded', u'amino acid'), (809, 'Chimera default', 'rounded', u'amino acid'), (810, 'Chimera default', 'rounded', u'amino acid'), (811, 'Chimera default', 'rounded', u'amino acid'), (812, 'Chimera default', 'rounded', u'amino acid'), (813, 'Chimera default', 'rounded', u'amino acid'), (814, 'Chimera default', 'rounded', u'amino acid'), (815, 'Chimera default', 'rounded', u'amino acid'), (816, 'Chimera default', 'rounded', u'amino acid'), (817, 'Chimera default', 'rounded', u'amino acid'), (818, 'Chimera default', 'rounded', u'amino acid'), (819, 'Chimera default', 'rounded', u'amino acid'), (820, 'Chimera default', 'rounded', u'amino acid'), (821, 'Chimera default', 'rounded', u'amino acid'),
(822, 'Chimera default', 'rounded', u'amino acid'), (823, 'Chimera default', 'rounded', u'amino acid'), (824, 'Chimera default', 'rounded', u'amino acid'), (825, 'Chimera default', 'rounded', u'amino acid'), (826, 'Chimera default', 'rounded', u'amino acid'), (827, 'Chimera default', 'rounded', u'amino acid'), (828, 'Chimera default', 'rounded', u'amino acid'), (829, 'Chimera default', 'rounded', u'amino acid'), (830, 'Chimera default', 'rounded', u'amino acid'), (831, 'Chimera default', 'rounded', u'amino acid'), (832, 'Chimera default', 'rounded', u'amino acid'), (833, 'Chimera default', 'rounded', u'amino acid'), (834, 'Chimera default', 'rounded', u'amino acid'), (835, 'Chimera default', 'rounded', u'amino acid'), (836, 'Chimera default', 'rounded', u'amino acid'), (837, 'Chimera default', 'rounded', u'amino acid'), (838, 'Chimera default', 'rounded', u'amino acid'), (839, 'Chimera default', 'rounded', u'amino acid'), (840, 'Chimera default', 'rounded', u'amino acid'), (841, 'Chimera default', 'rounded', u'amino acid'), (842, 'Chimera default', 'rounded', u'amino acid'),
(843, 'Chimera default', 'rounded', u'amino acid'), (844, 'Chimera default', 'rounded', u'amino acid'), (845, 'Chimera default', 'rounded', u'amino acid'), (846, 'Chimera default', 'rounded', u'amino acid'), (847, 'Chimera default', 'rounded', u'amino acid'), (848, 'Chimera default', 'rounded', u'amino acid'), (849, 'Chimera default', 'rounded', u'amino acid'), (850, 'Chimera default', 'rounded', u'amino acid'), (851, 'Chimera default', 'rounded', u'amino acid'), (852, 'Chimera default', 'rounded', u'amino acid'), (853, 'Chimera default', 'rounded', u'amino acid'), (854, 'Chimera default', 'rounded', u'amino acid'), (855, 'Chimera default', 'rounded', u'amino acid'), (856, 'Chimera default', 'rounded', u'amino acid'), (857, 'Chimera default', 'rounded', u'amino acid'), (858, 'Chimera default', 'rounded', u'amino acid'), (859, 'Chimera default', 'rounded', u'amino acid'), (860, 'Chimera default', 'rounded', u'amino acid'), (861, 'Chimera default', 'rounded', u'amino acid'), (862, 'Chimera default', 'rounded', u'amino acid'), (863, 'Chimera default', 'rounded', u'amino acid'),
(864, 'Chimera default', 'rounded', u'amino acid'), (865, 'Chimera default', 'rounded', u'amino acid'), (866, 'Chimera default', 'rounded', u'amino acid'), (867, 'Chimera default', 'rounded', u'amino acid'), (868, 'Chimera default', 'rounded', u'amino acid'), (869, 'Chimera default', 'rounded', u'amino acid'), (870, 'Chimera default', 'rounded', u'amino acid'), (871, 'Chimera default', 'rounded', u'amino acid'), (872, 'Chimera default', 'rounded', u'amino acid'), (873, 'Chimera default', 'rounded', u'amino acid'), (874, 'Chimera default', 'rounded', u'amino acid'), (875, 'Chimera default', 'rounded', u'amino acid'), (876, 'Chimera default', 'rounded', u'amino acid'), (877, 'Chimera default', 'rounded', u'amino acid'), (878, 'Chimera default', 'rounded', u'amino acid'), (879, 'Chimera default', 'rounded', u'amino acid'), (880, 'Chimera default', 'rounded', u'amino acid'), (881, 'Chimera default', 'rounded', u'amino acid'), (882, 'Chimera default', 'rounded', u'amino acid'), (883, 'Chimera default', 'rounded', u'amino acid'), (884, 'Chimera default', 'rounded', u'amino acid'),
(885, 'Chimera default', 'rounded', u'amino acid'), (886, 'Chimera default', 'rounded', u'amino acid'), (887, 'Chimera default', 'rounded', u'amino acid'), (888, 'Chimera default', 'rounded', u'amino acid'), (889, 'Chimera default', 'rounded', u'amino acid'), (890, 'Chimera default', 'rounded', u'amino acid'), (891, 'Chimera default', 'rounded', u'amino acid'), (892, 'Chimera default', 'rounded', u'amino acid'), (893, 'Chimera default', 'rounded', u'amino acid'), (894, 'Chimera default', 'rounded', u'amino acid'), (895, 'Chimera default', 'rounded', u'amino acid'), (896, 'Chimera default', 'rounded', u'amino acid'), (897, 'Chimera default', 'rounded', u'amino acid'), (898, 'Chimera default', 'rounded', u'amino acid'), (899, 'Chimera default', 'rounded', u'amino acid'), (900, 'Chimera default', 'rounded', u'amino acid'), (901, 'Chimera default', 'rounded', u'amino acid'), (902, 'Chimera default', 'rounded', u'amino acid'), (903, 'Chimera default', 'rounded', u'amino acid'), (904, 'Chimera default', 'rounded', u'amino acid'), (905, 'Chimera default', 'rounded', u'amino acid'),
(906, 'Chimera default', 'rounded', u'amino acid'), (907, 'Chimera default', 'rounded', u'amino acid'), (908, 'Chimera default', 'rounded', u'amino acid'), (909, 'Chimera default', 'rounded', u'amino acid'), (910, 'Chimera default', 'rounded', u'amino acid'), (911, 'Chimera default', 'rounded', u'amino acid'), (912, 'Chimera default', 'rounded', u'amino acid'), (913, 'Chimera default', 'rounded', u'amino acid'), (914, 'Chimera default', 'rounded', u'amino acid'), (915, 'Chimera default', 'rounded', u'amino acid'), (916, 'Chimera default', 'rounded', u'amino acid'), (917, 'Chimera default', 'rounded', u'amino acid'), (918, 'Chimera default', 'rounded', u'amino acid'), (919, 'Chimera default', 'rounded', u'amino acid'), (920, 'Chimera default', 'rounded', u'amino acid'), (921, 'Chimera default', 'rounded', u'amino acid'), (922, 'Chimera default', 'rounded', u'amino acid'), (923, 'Chimera default', 'rounded', u'amino acid'), (924, 'Chimera default', 'rounded', u'amino acid'), (925, 'Chimera default', 'rounded', u'amino acid'), (926, 'Chimera default', 'rounded', u'amino acid'),
(927, 'Chimera default', 'rounded', u'amino acid'), (928, 'Chimera default', 'rounded', u'amino acid'), (929, 'Chimera default', 'rounded', u'amino acid'), (930, 'Chimera default', 'rounded', u'amino acid'), (931, 'Chimera default', 'rounded', u'amino acid'), (932, 'Chimera default', 'rounded', u'amino acid'), (933, 'Chimera default', 'rounded', u'amino acid'), (934, 'Chimera default', 'rounded', u'amino acid'), (935, 'Chimera default', 'rounded', u'amino acid'), (936, 'Chimera default', 'rounded', u'amino acid'), (937, 'Chimera default', 'rounded', u'amino acid'), (938, 'Chimera default', 'rounded', u'amino acid'), (939, 'Chimera default', 'rounded', u'amino acid'), (940, 'Chimera default', 'rounded', u'amino acid'), (941, 'Chimera default', 'rounded', u'amino acid'), (942, 'Chimera default', 'rounded', u'amino acid'), (943, 'Chimera default', 'rounded', u'amino acid'), (944, 'Chimera default', 'rounded', u'amino acid'), (945, 'Chimera default', 'rounded', u'amino acid'), (946, 'Chimera default', 'rounded', u'amino acid'), (947, 'Chimera default', 'rounded', u'amino acid'),
(948, 'Chimera default', 'rounded', u'amino acid'), (949, 'Chimera default', 'rounded', u'amino acid'), (950, 'Chimera default', 'rounded', u'amino acid'), (951, 'Chimera default', 'rounded', u'amino acid'), (952, 'Chimera default', 'rounded', u'amino acid'), (953, 'Chimera default', 'rounded', u'amino acid'), (954, 'Chimera default', 'rounded', u'amino acid'), (955, 'Chimera default', 'rounded', u'amino acid'), (956, 'Chimera default', 'rounded', u'amino acid'), (957, 'Chimera default', 'rounded', u'amino acid'), (958, 'Chimera default', 'rounded', u'amino acid'), (959, 'Chimera default', 'rounded', u'amino acid'), (960, 'Chimera default', 'rounded', u'amino acid'), (961, 'Chimera default', 'rounded', u'amino acid'), (962, 'Chimera default', 'rounded', u'amino acid'), (963, 'Chimera default', 'rounded', u'amino acid'), (964, 'Chimera default', 'rounded', u'amino acid'), (965, 'Chimera default', 'rounded', u'amino acid'), (966, 'Chimera default', 'rounded', u'amino acid'), (967, 'Chimera default', 'rounded', u'amino acid'), (968, 'Chimera default', 'rounded', u'amino acid'),
(969, 'Chimera default', 'rounded', u'amino acid'), (970, 'Chimera default', 'rounded', u'amino acid'), (971, 'Chimera default', 'rounded', u'amino acid')]
flags = RibbonStyleEditor.NucleicDefault1
SimpleSession.registerAfterModelsCB(RibbonStyleEditor.restoreState,
(userScalings, userXSections,
userResidueClasses, residueData, flags))
try:
restoreSession_RibbonStyleEditor()
except:
reportRestoreError("Error restoring RibbonStyleEditor state")
trPickle = 'gAJjQW5pbWF0ZS5UcmFuc2l0aW9ucwpUcmFuc2l0aW9ucwpxASmBcQJ9cQMoVQxjdXN0b21fc2NlbmVxBGNBbmltYXRlLlRyYW5zaXRpb24KVHJhbnNpdGlvbgpxBSmBcQZ9cQcoVQZmcmFtZXNxCEsBVQ1kaXNjcmV0ZUZyYW1lcQlLAVUKcHJvcGVydGllc3EKXXELVQNhbGxxDGFVBG5hbWVxDVUMY3VzdG9tX3NjZW5lcQ5VBG1vZGVxD1UGbGluZWFycRB1YlUIa2V5ZnJhbWVxEWgFKYFxEn1xEyhoCEsUaAlLAWgKXXEUaAxhaA1VCGtleWZyYW1lcRVoD2gQdWJVBXNjZW5lcRZoBSmBcRd9cRgoaAhLAWgJSwFoCl1xGWgMYWgNVQVzY2VuZXEaaA9oEHVidWIu'
scPickle = 'gAJjQW5pbWF0ZS5TY2VuZXMKU2NlbmVzCnEBKYFxAn1xA1UHbWFwX2lkc3EEfXNiLg=='
kfPickle = 'gAJjQW5pbWF0ZS5LZXlmcmFtZXMKS2V5ZnJhbWVzCnEBKYFxAn1xA1UHZW50cmllc3EEXXEFc2Iu'
def restoreAnimation():
'A method to unpickle and restore animation objects'
# Scenes must be unpickled after restoring transitions, because each
# scene links to a 'scene' transition. Likewise, keyframes must be
# unpickled after restoring scenes, because each keyframe links to a scene.
# The unpickle process is left to the restore* functions, it's
# important that it doesn't happen prior to calling those functions.
import SimpleSession
from Animate.Session import restoreTransitions
from Animate.Session import restoreScenes
from Animate.Session import restoreKeyframes
SimpleSession.registerAfterModelsCB(restoreTransitions, trPickle)
SimpleSession.registerAfterModelsCB(restoreScenes, scPickle)
SimpleSession.registerAfterModelsCB(restoreKeyframes, kfPickle)
try:
restoreAnimation()
except:
reportRestoreError('Error in Animate.Session')
def restoreLightController():
import Lighting
Lighting._setFromParams({'ratio': 1.25, 'brightness': 1.16, 'material': [30.0, (0.85, 0.85, 0.85), 1.0], 'back': [(0.3574067443365933, 0.6604015517481455, -0.6604015517481456), (1.0, 1.0, 1.0), 0.0], 'mode': 'two-point', 'key': [(-0.3574067443365933, 0.6604015517481455, 0.6604015517481456), (1.0, 1.0, 1.0), 1.0], 'contrast': 0.83, 'fill': [(0.2505628070857316, 0.2505628070857316, 0.9351131265310294), (1.0, 1.0, 1.0), 0.0]})
try:
restoreLightController()
except:
reportRestoreError("Error restoring lighting parameters")
def restoreRemainder():
from SimpleSession.versions.v65 import restoreWindowSize, \
restoreOpenStates, restoreSelections, restoreFontInfo, \
restoreOpenModelsAttrs, restoreModelClip, restoreSilhouettes
curSelIds = []
savedSels = []
openModelsAttrs = { 'cofrMethod': 4 }
windowSize = (1840, 1274)
xformMap = {0: (((-0.026568788739498, -0.99572492071403, 0.088464578979097), 100.9891697581), (79.141234263029, 4.8076268373339, 71.544342543514), True), 1: (((-0.98578184666705, 0.063304261419001, -0.15564935357368), 165.03189204941), (-28.748482388437, 82.795214025752, 111.28452388108), True)}
fontInfo = {'face': (u'Sans Serif', 'Bold', 62)}
clipPlaneInfo = {}
silhouettes = {0: True, 1: True, 17005: True, 17006: True}
replyobj.status("Restoring window...", blankAfter=0,
secondary=True)
restoreWindowSize(windowSize)
replyobj.status("Restoring open states...", blankAfter=0,
secondary=True)
restoreOpenStates(xformMap)
replyobj.status("Restoring font info...", blankAfter=0,
secondary=True)
restoreFontInfo(fontInfo)
replyobj.status("Restoring selections...", blankAfter=0,
secondary=True)
restoreSelections(curSelIds, savedSels)
replyobj.status("Restoring openModel attributes...", blankAfter=0,
secondary=True)
restoreOpenModelsAttrs(openModelsAttrs)
replyobj.status("Restoring model clipping...", blankAfter=0,
secondary=True)
restoreModelClip(clipPlaneInfo)
replyobj.status("Restoring per-model silhouettes...", blankAfter=0,
secondary=True)
restoreSilhouettes(silhouettes)
replyobj.status("Restoring remaining extension info...", blankAfter=0,
secondary=True)
try:
restoreRemainder()
except:
reportRestoreError("Error restoring post-model state")
from SimpleSession.versions.v65 import makeAfterModelsCBs
makeAfterModelsCBs()
from SimpleSession.versions.v65 import endRestore
replyobj.status('Finishing restore...', blankAfter=0, secondary=True)
endRestore({})
replyobj.status('', secondary=True)
replyobj.status('Restore finished.')
| 2,738.200669
| 347,710
| 0.962279
| 15,588
| 818,722
| 50.538555
| 0.473056
| 0.017256
| 0.025857
| 0.027088
| 0.087642
| 0.086592
| 0.047302
| 0.046748
| 0.046418
| 0.046355
| 0
| 0.120129
| 0.009683
| 818,722
| 298
| 347,711
| 2,747.389262
| 0.851505
| 0.000473
| 0
| 0.166667
| 0
| 0.015152
| 0.95934
| 0.917359
| 0
| 1
| 0
| 0
| 0
| 1
| 0.034091
| false
| 0
| 0.094697
| 0
| 0.128788
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
0d4a4d23990762708c1b47f76b123e034a9c5386
| 66
|
py
|
Python
|
Lib/test/test_compiler/testcorpus/40_import.py
|
diogommartins/cinder
|
79103e9119cbecef3b085ccf2878f00c26e1d175
|
[
"CNRI-Python-GPL-Compatible"
] | 1,886
|
2021-05-03T23:58:43.000Z
|
2022-03-31T19:15:58.000Z
|
Lib/test/test_compiler/testcorpus/40_import.py
|
diogommartins/cinder
|
79103e9119cbecef3b085ccf2878f00c26e1d175
|
[
"CNRI-Python-GPL-Compatible"
] | 70
|
2021-05-04T23:25:35.000Z
|
2022-03-31T18:42:08.000Z
|
Lib/test/test_compiler/testcorpus/40_import.py
|
diogommartins/cinder
|
79103e9119cbecef3b085ccf2878f00c26e1d175
|
[
"CNRI-Python-GPL-Compatible"
] | 52
|
2021-05-04T21:26:03.000Z
|
2022-03-08T18:02:56.000Z
|
import foo
import foo2, bar
import foo3 as baz
import foo.bar.baz
| 13.2
| 18
| 0.787879
| 13
| 66
| 4
| 0.538462
| 0.346154
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.036364
| 0.166667
| 66
| 4
| 19
| 16.5
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
371c6733ae58095e3db81cec55ffbe113c8ca9f9
| 134
|
py
|
Python
|
src/wrappers/modules/vae.py
|
ElementAI/beyond-trivial-explanations
|
c517d7bdbab68b6a26f74cee4d15e948b3b47238
|
[
"Apache-2.0"
] | 3
|
2021-08-15T00:51:37.000Z
|
2022-01-13T15:21:16.000Z
|
src/wrappers/modules/vae.py
|
ElementAI/beyond-trivial-explanations
|
c517d7bdbab68b6a26f74cee4d15e948b3b47238
|
[
"Apache-2.0"
] | null | null | null |
src/wrappers/modules/vae.py
|
ElementAI/beyond-trivial-explanations
|
c517d7bdbab68b6a26f74cee4d15e948b3b47238
|
[
"Apache-2.0"
] | null | null | null |
import torch
def get_kl_loss(mu, logvar, prior_mu=0):
return 0.5 * (-1 - logvar + mu ** 2 + torch.exp(logvar)).sum() / mu.size(0)
| 33.5
| 79
| 0.626866
| 25
| 134
| 3.24
| 0.68
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.054545
| 0.179104
| 134
| 4
| 79
| 33.5
| 0.681818
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0.333333
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 6
|
3725444bada3c3457907bd9164393a853ab1d43b
| 170
|
py
|
Python
|
examples/setuptools-rust-starter/setup.py
|
mrl5/pyo3
|
edf03c12a7fb5f45b4dec71745e31498d43dfad8
|
[
"Apache-2.0"
] | null | null | null |
examples/setuptools-rust-starter/setup.py
|
mrl5/pyo3
|
edf03c12a7fb5f45b4dec71745e31498d43dfad8
|
[
"Apache-2.0"
] | 1
|
2021-10-14T00:25:33.000Z
|
2021-10-14T00:25:33.000Z
|
examples/setuptools-rust-starter/setup.py
|
mrl5/pyo3
|
edf03c12a7fb5f45b4dec71745e31498d43dfad8
|
[
"Apache-2.0"
] | null | null | null |
from setuptools import setup
from setuptools_rust import RustExtension
setup(
rust_extensions=[RustExtension("setuptools_rust_starter._setuptools_rust_starter")],
)
| 24.285714
| 88
| 0.841176
| 19
| 170
| 7.157895
| 0.421053
| 0.308824
| 0.308824
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.094118
| 170
| 6
| 89
| 28.333333
| 0.883117
| 0
| 0
| 0
| 0
| 0
| 0.282353
| 0.282353
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 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
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 6
|
2e9b23892bda539f3b4cc418855049945f72f65c
| 73
|
py
|
Python
|
probtorch/objectives/__init__.py
|
alicanb/probtorch
|
bab762abbc94f7e9fb1391956ba353e7845fdeca
|
[
"Apache-2.0"
] | 876
|
2017-11-30T14:19:11.000Z
|
2022-03-30T08:06:56.000Z
|
probtorch/objectives/__init__.py
|
alicanb/probtorch
|
bab762abbc94f7e9fb1391956ba353e7845fdeca
|
[
"Apache-2.0"
] | 29
|
2017-11-30T08:15:44.000Z
|
2022-01-24T17:24:29.000Z
|
probtorch/objectives/__init__.py
|
alicanb/probtorch
|
bab762abbc94f7e9fb1391956ba353e7845fdeca
|
[
"Apache-2.0"
] | 75
|
2017-12-04T01:26:11.000Z
|
2022-03-25T00:15:59.000Z
|
from . import montecarlo
from . import importance
from . import marginal
| 18.25
| 24
| 0.794521
| 9
| 73
| 6.444444
| 0.555556
| 0.517241
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.164384
| 73
| 3
| 25
| 24.333333
| 0.95082
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
2ee5d213486fbac6801b600116ec885cdcd52087
| 121
|
py
|
Python
|
djangoapp/website/views.py
|
jaysridhar/fuzzy-spoon
|
43ff6c424c6fe8e0d46cbb1555ada57957bf0cb4
|
[
"MIT"
] | null | null | null |
djangoapp/website/views.py
|
jaysridhar/fuzzy-spoon
|
43ff6c424c6fe8e0d46cbb1555ada57957bf0cb4
|
[
"MIT"
] | null | null | null |
djangoapp/website/views.py
|
jaysridhar/fuzzy-spoon
|
43ff6c424c6fe8e0d46cbb1555ada57957bf0cb4
|
[
"MIT"
] | null | null | null |
from django.shortcuts import render
def index(request):
return render(request, 'home.html', {'user': request.user})
| 24.2
| 63
| 0.727273
| 16
| 121
| 5.5
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.132231
| 121
| 4
| 64
| 30.25
| 0.838095
| 0
| 0
| 0
| 0
| 0
| 0.107438
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0.333333
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 6
|
2ef78f99b5fa86d3830bc04d72717eb60ba6259d
| 980
|
py
|
Python
|
graphene_django/utils/tests/test_testing.py
|
mebel-akvareli/graphene-django
|
23008ad22094f3e7b8fb26b73811ce49b20cca25
|
[
"MIT"
] | 4,038
|
2016-09-18T01:45:22.000Z
|
2022-03-31T01:06:57.000Z
|
graphene_django/utils/tests/test_testing.py
|
mebel-akvareli/graphene-django
|
23008ad22094f3e7b8fb26b73811ce49b20cca25
|
[
"MIT"
] | 1,104
|
2016-09-19T20:10:22.000Z
|
2022-03-30T17:37:46.000Z
|
graphene_django/utils/tests/test_testing.py
|
mebel-akvareli/graphene-django
|
23008ad22094f3e7b8fb26b73811ce49b20cca25
|
[
"MIT"
] | 791
|
2016-09-18T13:48:11.000Z
|
2022-03-29T08:32:06.000Z
|
import pytest
from .. import GraphQLTestCase
from ...tests.test_types import with_local_registry
from django.test import Client
@with_local_registry
def test_graphql_test_case_deprecated_client_getter():
"""
`GraphQLTestCase._client`' getter should raise pending deprecation warning.
"""
class TestClass(GraphQLTestCase):
GRAPHQL_SCHEMA = True
def runTest(self):
pass
tc = TestClass()
tc._pre_setup()
tc.setUpClass()
with pytest.warns(PendingDeprecationWarning):
tc._client
@with_local_registry
def test_graphql_test_case_deprecated_client_setter():
"""
`GraphQLTestCase._client`' setter should raise pending deprecation warning.
"""
class TestClass(GraphQLTestCase):
GRAPHQL_SCHEMA = True
def runTest(self):
pass
tc = TestClass()
tc._pre_setup()
tc.setUpClass()
with pytest.warns(PendingDeprecationWarning):
tc._client = Client()
| 21.304348
| 79
| 0.690816
| 103
| 980
| 6.291262
| 0.349515
| 0.041667
| 0.078704
| 0.070988
| 0.737654
| 0.737654
| 0.737654
| 0.737654
| 0.737654
| 0.737654
| 0
| 0
| 0.22551
| 980
| 45
| 80
| 21.777778
| 0.853755
| 0.154082
| 0
| 0.692308
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.153846
| false
| 0.076923
| 0.153846
| 0
| 0.461538
| 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
| 1
| 0
| 0
| 0
| 0
|
0
| 6
|
2c066460b180d0f8b8e4b3781180093269acd3db
| 8,935
|
py
|
Python
|
grplot/features/text/check_text.py
|
ghiffaryr/grplot
|
43ea08febac4ffecbce0a6a3d679850f5013aa28
|
[
"BSD-3-Clause"
] | null | null | null |
grplot/features/text/check_text.py
|
ghiffaryr/grplot
|
43ea08febac4ffecbce0a6a3d679850f5013aa28
|
[
"BSD-3-Clause"
] | null | null | null |
grplot/features/text/check_text.py
|
ghiffaryr/grplot
|
43ea08febac4ffecbce0a6a3d679850f5013aa28
|
[
"BSD-3-Clause"
] | null | null | null |
from grplot.features.text.text_type import text_type
def check_text(plot, df, x, y, ax, ci, hue, multiple, text, xtext, ytext, sep, xsep, ysep, add, xadd, yadd, text_fontsize, xaxislabel, yaxislabel, axes):
if plot in ['pieplot', 'treemapsplot', 'packedbubblesplot']:
if x is not None:
if xtext is not None:
if xsep is not None:
if xadd is not None:
text_type(plot=plot, df=df, ax=ax, ci=None, hue=None, multiple=None, axis=None, text=xtext, sep=xsep, add=xadd, text_fontsize=text_fontsize, naxislabel=x, axislabel=None, axes=axes)
else:
text_type(plot=plot, df=df, ax=ax, ci=None, hue=None, multiple=None, axis=None, text=xtext, sep=xsep, add=add, text_fontsize=text_fontsize, naxislabel=x, axislabel=None, axes=axes)
else:
if xadd is not None:
text_type(plot=plot, df=df, ax=ax, ci=None, hue=None, multiple=None, axis=None, text=xtext, sep=sep, add=xadd, text_fontsize=text_fontsize, naxislabel=x, axislabel=None, axes=axes)
else:
text_type(plot=plot, df=df, ax=ax, ci=None, hue=None, multiple=None, axis=None, text=xtext, sep=sep, add=add, text_fontsize=text_fontsize, naxislabel=x, axislabel=None, axes=axes)
else:
if xsep is not None:
if xadd is not None:
text_type(plot=plot, df=df, ax=ax, ci=None, hue=None, multiple=None, axis=None, text=text, sep=xsep, add=xadd, text_fontsize=text_fontsize, naxislabel=x, axislabel=None, axes=axes)
else:
text_type(plot=plot, df=df, ax=ax, ci=None, hue=None, multiple=None, axis=None, text=text, sep=xsep, add=add, text_fontsize=text_fontsize, naxislabel=x, axislabel=None, axes=axes)
else:
if xadd is not None:
text_type(plot=plot, df=df, ax=ax, ci=None, hue=None, multiple=None, axis=None, text=text, sep=sep, add=xadd, text_fontsize=text_fontsize, naxislabel=x, axislabel=None, axes=axes)
else:
text_type(plot=plot, df=df, ax=ax, ci=None, hue=None, multiple=None, axis=None, text=text, sep=sep, add=add, text_fontsize=text_fontsize, naxislabel=x, axislabel=None, axes=axes)
else:
pass
if y is not None:
if ytext is not None:
if ysep is not None:
if yadd is not None:
text_type(plot=plot, df=df, ax=ax, ci=None, hue=None, multiple=None, axis=None, text=ytext, sep=ysep, add=yadd, text_fontsize=text_fontsize, naxislabel=y, axislabel=None, axes=axes)
else:
text_type(plot=plot, df=df, ax=ax, ci=None, hue=None, multiple=None, axis=None, text=ytext, sep=ysep, add=add, text_fontsize=text_fontsize, naxislabel=y, axislabel=None, axes=axes)
else:
if yadd is not None:
text_type(plot=plot, df=df, ax=ax, ci=None, hue=None, multiple=None, axis=None, text=ytext, sep=sep, add=yadd, text_fontsize=text_fontsize, naxislabel=y, axislabel=None, axes=axes)
else:
text_type(plot=plot, df=df, ax=ax, ci=None, hue=None, multiple=None, axis=None, text=ytext, sep=sep, add=add, text_fontsize=text_fontsize, naxislabel=y, axislabel=None, axes=axes)
else:
if ysep is not None:
if yadd is not None:
text_type(plot=plot, df=df, ax=ax, ci=None, hue=None, multiple=None, axis=None, text=text, sep=ysep, add=yadd, text_fontsize=text_fontsize, naxislabel=y, axislabel=None, axes=axes)
else:
text_type(plot=plot, df=df, ax=ax, ci=None, hue=None, multiple=None, axis=None, text=text, sep=ysep, add=add, text_fontsize=text_fontsize, naxislabel=y, axislabel=None, axes=axes)
else:
if yadd is not None:
text_type(plot=plot, df=df, ax=ax, ci=None, hue=None, multiple=None, axis=None, text=text, sep=sep, add=yadd, text_fontsize=text_fontsize, naxislabel=y, axislabel=None, axes=axes)
else:
text_type(plot=plot, df=df, ax=ax, ci=None, hue=None, multiple=None, axis=None, text=text, sep=sep, add=add, text_fontsize=text_fontsize, naxislabel=y, axislabel=None, axes=axes)
else:
pass
else:
if xaxislabel is not None:
if xtext is not None:
if xsep is not None:
if xadd is not None:
text_type(plot=plot, df=df, ax=ax, ci=ci, hue=hue, multiple=multiple, axis='x', text=xtext, sep=xsep, add=xadd, text_fontsize=text_fontsize, naxislabel=x, axislabel=xaxislabel, axes=axes)
else:
text_type(plot=plot, df=df, ax=ax, ci=ci, hue=hue, multiple=multiple, axis='x', text=xtext, sep=xsep, add=add, text_fontsize=text_fontsize, naxislabel=x, axislabel=xaxislabel, axes=axes)
else:
if xadd is not None:
text_type(plot=plot, df=df, ax=ax, ci=ci, hue=hue, multiple=multiple, axis='x', text=xtext, sep=sep, add=xadd, text_fontsize=text_fontsize, naxislabel=x, axislabel=xaxislabel, axes=axes)
else:
text_type(plot=plot, df=df, ax=ax, ci=ci, hue=hue, multiple=multiple, axis='x', text=xtext, sep=sep, add=add, text_fontsize=text_fontsize, naxislabel=x, axislabel=xaxislabel, axes=axes)
else:
if xsep is not None:
if xadd is not None:
text_type(plot=plot, df=df, ax=ax, ci=ci, hue=hue, multiple=multiple, axis='x', text=text, sep=xsep, add=xadd, text_fontsize=text_fontsize, naxislabel=x, axislabel=xaxislabel, axes=axes)
else:
text_type(plot=plot, df=df, ax=ax, ci=ci, hue=hue, multiple=multiple, axis='x', text=text, sep=xsep, add=add, text_fontsize=text_fontsize, naxislabel=x, axislabel=xaxislabel, axes=axes)
else:
if xadd is not None:
text_type(plot=plot, df=df, ax=ax, ci=ci, hue=hue, multiple=multiple, axis='x', text=text, sep=sep, add=xadd, text_fontsize=text_fontsize, naxislabel=x, axislabel=xaxislabel, axes=axes)
else:
text_type(plot=plot, df=df, ax=ax, ci=ci, hue=hue, multiple=multiple, axis='x', text=text, sep=sep, add=add, text_fontsize=text_fontsize, naxislabel=x, axislabel=xaxislabel, axes=axes)
else:
pass
if yaxislabel is not None:
if ytext is not None:
if ysep is not None:
if yadd is not None:
text_type(plot=plot, df=df, ax=ax, ci=ci, hue=hue, multiple=multiple, axis='y', text=ytext, sep=ysep, add=yadd, text_fontsize=text_fontsize, naxislabel=y, axislabel=yaxislabel, axes=axes)
else:
text_type(plot=plot, df=df, ax=ax, ci=ci, hue=hue, multiple=multiple, axis='y', text=ytext, sep=ysep, add=add, text_fontsize=text_fontsize, naxislabel=y, axislabel=yaxislabel, axes=axes)
else:
if yadd is not None:
text_type(plot=plot, df=df, ax=ax, ci=ci, hue=hue, multiple=multiple, axis='y', text=ytext, sep=sep, add=yadd, text_fontsize=text_fontsize, naxislabel=y, axislabel=yaxislabel, axes=axes)
else:
text_type(plot=plot, df=df, ax=ax, ci=ci, hue=hue, multiple=multiple, axis='y', text=ytext, sep=sep, add=add, text_fontsize=text_fontsize, naxislabel=y, axislabel=yaxislabel, axes=axes)
else:
if ysep is not None:
if yadd is not None:
text_type(plot=plot, df=df, ax=ax, ci=ci, hue=hue, multiple=multiple, axis='y', text=text, sep=ysep, add=yadd, text_fontsize=text_fontsize, naxislabel=y, axislabel=yaxislabel, axes=axes)
else:
text_type(plot=plot, df=df, ax=ax, ci=ci, hue=hue, multiple=multiple, axis='y', text=text, sep=ysep, add=add, text_fontsize=text_fontsize, naxislabel=y, axislabel=yaxislabel, axes=axes)
else:
if yadd is not None:
text_type(plot=plot, df=df, ax=ax, ci=ci, hue=hue, multiple=multiple, axis='y', text=text, sep=sep, add=yadd, text_fontsize=text_fontsize, naxislabel=y, axislabel=yaxislabel, axes=axes)
else:
text_type(plot=plot, df=df, ax=ax, ci=ci, hue=hue, multiple=multiple, axis='y', text=text, sep=sep, add=add, text_fontsize=text_fontsize, naxislabel=y, axislabel=yaxislabel, axes=axes)
else:
pass
return ax
| 83.504673
| 211
| 0.59418
| 1,263
| 8,935
| 4.124307
| 0.033254
| 0.149741
| 0.055289
| 0.098291
| 0.954502
| 0.952966
| 0.95143
| 0.95143
| 0.95143
| 0.95143
| 0
| 0
| 0.286961
| 8,935
| 107
| 212
| 83.504673
| 0.817611
| 0
| 0
| 0.619048
| 0
| 0
| 0.005819
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.009524
| false
| 0.038095
| 0.009524
| 0
| 0.028571
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 6
|
2c0e424e15c40de0a509a476a8d73c72fc4da4fb
| 48
|
py
|
Python
|
scenario_four/python/main.py
|
tpboudreau/protoc_python_import_examples
|
d2ba00187a157dd65f31a07ab12656f42ad68329
|
[
"MIT"
] | 1
|
2020-07-20T19:00:04.000Z
|
2020-07-20T19:00:04.000Z
|
scenario_four/python/main.py
|
tpboudreau/protoc_python_import_examples
|
d2ba00187a157dd65f31a07ab12656f42ad68329
|
[
"MIT"
] | null | null | null |
scenario_four/python/main.py
|
tpboudreau/protoc_python_import_examples
|
d2ba00187a157dd65f31a07ab12656f42ad68329
|
[
"MIT"
] | null | null | null |
import zeta.m_pb2
import sys
print(sys.path)
| 6.857143
| 17
| 0.75
| 9
| 48
| 3.888889
| 0.777778
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.025
| 0.166667
| 48
| 6
| 18
| 8
| 0.85
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 0.333333
| 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
| 1
| 0
|
0
| 6
|
2c2638e12681b2f65abe23200d2acc808681eb04
| 24
|
py
|
Python
|
iamzero/instrumentation/__init__.py
|
common-fate/iamzero-python
|
1f40bdc50d530e1b5d8cf583e00602ce615058e5
|
[
"Apache-2.0"
] | 1
|
2021-05-24T13:08:13.000Z
|
2021-05-24T13:08:13.000Z
|
iamzero/instrumentation/__init__.py
|
common-fate/iamzero-python
|
1f40bdc50d530e1b5d8cf583e00602ce615058e5
|
[
"Apache-2.0"
] | 2
|
2021-05-18T08:58:30.000Z
|
2021-05-18T10:04:51.000Z
|
iamzero/instrumentation/__init__.py
|
common-fate/iamzero-python
|
1f40bdc50d530e1b5d8cf583e00602ce615058e5
|
[
"Apache-2.0"
] | 1
|
2021-06-01T22:37:14.000Z
|
2021-06-01T22:37:14.000Z
|
from .botocore import *
| 12
| 23
| 0.75
| 3
| 24
| 6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 24
| 1
| 24
| 24
| 0.9
| 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
| 1
| 0
|
0
| 6
|
2c2a053ac6fc785743ba11e72569b0b5d6266075
| 156
|
py
|
Python
|
tests/test_packages.py
|
sigopt/requests
|
bf4a7f69412ece6f0acdb5894b3aa840e49d72a8
|
[
"Apache-2.0"
] | null | null | null |
tests/test_packages.py
|
sigopt/requests
|
bf4a7f69412ece6f0acdb5894b3aa840e49d72a8
|
[
"Apache-2.0"
] | 1
|
2018-11-08T01:01:01.000Z
|
2018-11-08T01:01:01.000Z
|
tests/test_packages.py
|
sigopt/requests
|
bf4a7f69412ece6f0acdb5894b3aa840e49d72a8
|
[
"Apache-2.0"
] | null | null | null |
import requests
def test_can_access_urllib3_attribute():
requests.packages.urllib3
def test_can_access_idna_attribute():
requests.packages.idna
| 15.6
| 40
| 0.807692
| 20
| 156
| 5.9
| 0.5
| 0.118644
| 0.169492
| 0.271186
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.014706
| 0.128205
| 156
| 9
| 41
| 17.333333
| 0.852941
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| true
| 0
| 0.2
| 0
| 0.6
| 0
| 1
| 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
| 1
| 1
| 0
| 0
| 0
| 1
| 0
|
0
| 6
|
2c2be237785cb1b2e572ab8416c387c04137545e
| 10,010
|
py
|
Python
|
fostool/model/gconv.py
|
meng-zha/FOST
|
2fc32ded470cc465a64f46a2c06c2a081e02f3e5
|
[
"MIT"
] | 181
|
2021-11-12T09:17:54.000Z
|
2022-03-22T05:53:35.000Z
|
fostool/model/gconv.py
|
meng-zha/FOST
|
2fc32ded470cc465a64f46a2c06c2a081e02f3e5
|
[
"MIT"
] | 12
|
2021-11-12T16:50:47.000Z
|
2022-03-07T09:22:16.000Z
|
fostool/model/gconv.py
|
meng-zha/FOST
|
2fc32ded470cc465a64f46a2c06c2a081e02f3e5
|
[
"MIT"
] | 41
|
2021-11-13T14:33:49.000Z
|
2022-03-11T04:19:58.000Z
|
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
from __future__ import absolute_import, division, print_function
import torch
import numpy as np
import torch.nn as nn
import torch.nn.functional as F
import torch_geometric.nn as PyG
from collections import OrderedDict
class GATConv(PyG.MessagePassing):
def __init__(self, in_channels, out_channels, edge_channels, aggr='max', normalize='none', **kwargs):
"""Build a gated graph convolutional layer.
Parameters
----------
in_channels : (int or tuple)
Size of each input sample
out_channels : int
Size of each output sample
edge_channels : (int)
Size of edge feature
aggr : str, optional
The aggregation operator, by default 'max'
normalize : str, optional
The normalizing operator, by default 'none'
**kwargs : optional
Additional arguments for PyG.MessagePassing
"""
super().__init__(aggr=aggr, node_dim=-3, **kwargs)
self.in_channels = in_channels
self.out_channels = out_channels
self.edge_channels = edge_channels
self.weight_n = nn.Parameter(torch.Tensor(in_channels, out_channels))
self.weight_e = nn.Parameter(torch.Tensor(edge_channels, out_channels))
self.u = nn.Parameter(torch.Tensor(out_channels, out_channels))
self.v = nn.Parameter(torch.Tensor(out_channels, out_channels))
self.normalize = normalize
if normalize == 'bn':
self.batch_norm = nn.BatchNorm1d(out_channels)
if normalize == 'ln':
self.layer_norm = nn.LayerNorm(out_channels)
self.reset_parameters()
def reset_parameters(self):
nn.init.xavier_uniform_(self.weight_n)
nn.init.xavier_uniform_(self.weight_e)
nn.init.xavier_uniform_(self.u)
nn.init.xavier_uniform_(self.v)
def forward(self, x, edge_index, edge_attr=None, edge_norm=None, size=None):
"""
Parameters
----------
x : torch.Tensor or (torch.Tensor, torch.Tensor)
Input data
edge_index : torch.Tensor
The index of edges
edge_attr : torch.Tensor or None, optional
Edge attributes, by default None
edge_norm : str or None, optional
The normalization type for edges, by default None
size : int, optional
The output dimension, by default None
Returns
-------
torch.Tensor
The enriched representations after message passing
"""
if isinstance(x, tuple) or isinstance(x, list):
x = [None if xi is None else torch.matmul(
xi, self.weight_n) for xi in x]
else:
x = torch.matmul(x, self.weight_n)
edge_attr = torch.matmul(edge_attr, self.weight_e)
return self.propagate(edge_index, size=size, x=x, edge_attr=edge_attr, edge_norm=edge_norm)
def message(self, edge_index_i, x_i, x_j, edge_attr, edge_norm):
"""
Parameters
----------
edge_index_i : torch.Tensor
The index of target nodes
x_i : torch.Tensor
The representations of target nodes indexed by edge_index_i
x_j : torch.Tensor
The representations of source nodes indexed by edge_index_j
edge_attr : torch.Tensor
Edge attributes
edge_norm : torch.Tensor
The normalization for edges
Returns
-------
torch.Tensor
Messages in edges
"""
x_i = torch.matmul(x_i, self.u)
x_j = torch.matmul(x_j, self.u)
gate = torch.sigmoid((x_i * x_j).sum(dim=-1)).unsqueeze(dim=-1)
msg = x_j * gate
if edge_norm is None:
return msg
else:
return msg * edge_norm.reshape(edge_norm.size(0), 1, 1)
def update(self, aggr_out, x):
"""
Parameters
----------
aggr_out : torch.Tensor
Aggregated messages
x : torch.Tensor
Raw inputs
Returns
-------
torch.Tensor
Updated representations
Raises
------
KeyError
Unsupported normalization type
"""
if isinstance(x, tuple) or isinstance(x, list):
x = x[1]
if self.normalize == 'bn':
aggr_out = aggr_out.permute(0, 2, 1)
aggr_out = self.batch_norm(aggr_out)
aggr_out = aggr_out.permute(0, 2, 1)
elif self.normalize == 'ln':
aggr_out = self.layer_norm(aggr_out)
elif self.normalize == 'none':
aggr_out = aggr_out
else:
raise KeyError(
(f'not support normalize type: {self.normalize}')
)
return x + aggr_out
class EGNNConv(PyG.MessagePassing):
def __init__(self, in_channels, out_channels, edge_channels, aggr='max', normalize='none', **kwargs):
"""Build an edge-attribute-aware graph convolutional layer.
Parameters
----------
in_channels : (int or tuple)
Size of each input sample
out_channels : int
Size of each output sample
edge_channels : (int)
Size of edge feature
aggr : str, optional
The aggregation operator, by default 'max'
normalize : str, optional
The normalizing operator, by default 'none'
**kwargs : optional
Additional arguments for PyG.MessagePassing
"""
super().__init__(aggr=aggr, **kwargs)
self.in_channels = in_channels
self.out_channels = out_channels
self.edge_channels = edge_channels
self.weight_n = nn.Parameter(torch.Tensor(in_channels, out_channels))
self.weight_e = nn.Parameter(torch.Tensor(edge_channels, out_channels))
self.query = nn.Parameter(torch.Tensor(out_channels, out_channels))
self.key = nn.Parameter(torch.Tensor(out_channels, out_channels))
self.linear_att = nn.Linear(3 * out_channels, 1)
self.linear_out = nn.Linear(2 * out_channels, out_channels)
self.normalize = normalize
if normalize == 'bn':
self.batch_norm = nn.BatchNorm1d(out_channels)
if normalize == 'ln':
self.layer_norm = nn.LayerNorm(out_channels)
self.reset_parameters()
def reset_parameters(self):
nn.init.xavier_uniform_(self.weight_n)
nn.init.xavier_uniform_(self.weight_e)
nn.init.xavier_uniform_(self.query)
nn.init.xavier_uniform_(self.key)
def forward(self, x, edge_index, edge_attr, size=None, indices=None, edge_norm=None):
"""
Parameters
----------
x : torch.Tensor or (torch.Tensor, torch.Tensor)
Input data
edge_index : torch.Tensor
The index of edges
edge_attr : torch.Tensor or None, optional
Edge attributes, by default None
size : int, optional
The output dimension, by default None
indicies: torch.Tensor or None, optional
The node indices
edge_norm : str or None, optional
The normalization type for edges, by default None
Returns
-------
torch.Tensor
The enriched representations after message passing
"""
if isinstance(x, tuple) or isinstance(x, list):
x = [None if xi is None else torch.matmul(
xi, self.weight_n) for xi in x]
else:
x = torch.matmul(x, self.weight_n)
edge_attr = torch.matmul(edge_attr, self.weight_e)
return self.propagate(edge_index, size=size, x=x, edge_attr=edge_attr, indices=indices, edge_norm=edge_norm)
def message(self, x_j, x_i, edge_attr, edge_norm):
"""
Parameters
----------
x_j : torch.Tensor
The representations of source nodes
x_i : torch.Tensor
The representations of target nodes
edge_attr : torch.Tensor
Edge attributes
edge_norm : torch.Tensor
The normalization factors for edges
Returns
-------
torch.Tensor
The messages in edges
"""
# cal att of shape [B, E, 1]
query = torch.matmul(x_j, self.query)
key = torch.matmul(x_i, self.key)
edge_attr = edge_attr.unsqueeze(dim=1).expand_as(query)
att_feature = torch.cat([query, key, edge_attr], dim=-1)
att = torch.sigmoid(self.linear_att(att_feature))
# gate of shape [1, E, C]
gate = torch.sigmoid(edge_attr)
msg = att * x_j * gate
if edge_norm is None:
return msg
else:
return msg * edge_norm.reshape(edge_norm.size(0), 1, 1)
def update(self, aggr_out, x, indices):
"""
Parameters
----------
aggr_out : torch.Tensor
Aggregated messages
x : torch.Tensor
Raw inputs
indices: torch.Tensor
Node indexes
Returns
-------
torch.Tensor
Updated representations
Raises
------
KeyError
Unsupported normalization type
"""
if isinstance(x, tuple) or isinstance(x, list):
x = x[1]
aggr_out = self.linear_out(torch.cat([x, aggr_out], dim=-1))
if self.normalize == 'bn':
aggr_out = aggr_out.permute(0, 2, 1)
aggr_out = self.batch_norm(aggr_out)
aggr_out = aggr_out.permute(0, 2, 1)
elif self.normalize == 'ln':
aggr_out = self.layer_norm(aggr_out)
elif self.normalize == 'none':
aggr_out = aggr_out
else:
raise KeyError(
(f'not support normalize type: {self.normalize}')
)
return x + aggr_out
| 31.878981
| 116
| 0.582318
| 1,215
| 10,010
| 4.618107
| 0.131687
| 0.076457
| 0.044021
| 0.04509
| 0.849759
| 0.796293
| 0.796293
| 0.7856
| 0.774194
| 0.729816
| 0
| 0.004872
| 0.323377
| 10,010
| 313
| 117
| 31.980831
| 0.823564
| 0.313986
| 0
| 0.644628
| 0
| 0
| 0.021841
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.082645
| false
| 0.016529
| 0.057851
| 0
| 0.223141
| 0.008264
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 6
|
25aea55823e70bda7ae44c1d870bf3926473b765
| 66
|
py
|
Python
|
test/test_main.py
|
ashwinmr/py_example
|
5a09c30d6361304a40ac1ff8e66ec9da6a8f6caa
|
[
"MIT"
] | null | null | null |
test/test_main.py
|
ashwinmr/py_example
|
5a09c30d6361304a40ac1ff8e66ec9da6a8f6caa
|
[
"MIT"
] | null | null | null |
test/test_main.py
|
ashwinmr/py_example
|
5a09c30d6361304a40ac1ff8e66ec9da6a8f6caa
|
[
"MIT"
] | null | null | null |
from pyex import pyex
def test_sqr():
assert pyex.sqr(2) == 4
| 16.5
| 27
| 0.666667
| 12
| 66
| 3.583333
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.038462
| 0.212121
| 66
| 4
| 27
| 16.5
| 0.788462
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.333333
| 1
| 0.333333
| 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
| 1
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
25b11ea1e84048d76f0e1635e9f73484360897d9
| 37
|
py
|
Python
|
ref_utils/__init__.py
|
IndigoPurple/EFENet
|
e88234486f19534274a0a20badc251788ac67e31
|
[
"MIT"
] | 11
|
2021-10-18T02:14:37.000Z
|
2022-02-10T13:17:07.000Z
|
ref_utils/__init__.py
|
IndigoPurple/EFENet
|
e88234486f19534274a0a20badc251788ac67e31
|
[
"MIT"
] | null | null | null |
ref_utils/__init__.py
|
IndigoPurple/EFENet
|
e88234486f19534274a0a20badc251788ac67e31
|
[
"MIT"
] | null | null | null |
from .DataGenerator_pytorch import *
| 18.5
| 36
| 0.837838
| 4
| 37
| 7.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.108108
| 37
| 1
| 37
| 37
| 0.909091
| 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
| 1
| 0
|
0
| 6
|
25bbe93f9d89a8e62795a5e8d23a40d84a8749a4
| 138
|
py
|
Python
|
tournament/tests.py
|
AfricaChess/lichesshub
|
833138d96cbf00c60719ae8f25ee882f2d4ba1ff
|
[
"MIT"
] | 2
|
2017-10-28T11:21:51.000Z
|
2018-01-10T19:39:03.000Z
|
tournament/tests.py
|
AfricaChess/lichesshub
|
833138d96cbf00c60719ae8f25ee882f2d4ba1ff
|
[
"MIT"
] | 5
|
2017-11-29T12:33:13.000Z
|
2021-06-10T19:00:27.000Z
|
tournament/tests.py
|
AfricaChess/lichesshub
|
833138d96cbf00c60719ae8f25ee882f2d4ba1ff
|
[
"MIT"
] | null | null | null |
import pytest
def test_late_registration():
'''
If you register late you will be given a bye (1 pt for previous rounds)
'''
| 17.25
| 75
| 0.666667
| 21
| 138
| 4.285714
| 0.904762
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.009709
| 0.253623
| 138
| 7
| 76
| 19.714286
| 0.864078
| 0.514493
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| true
| 0
| 0.5
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
25e0fcbba8383fba1d628f1dfaa0ce12872d29ff
| 90
|
py
|
Python
|
lichee/module/torch/loss/__init__.py
|
Tencent/Lichee
|
7653becd6fbf8b0715f788af3c0507c012be08b4
|
[
"Apache-2.0"
] | 91
|
2021-10-30T02:25:05.000Z
|
2022-03-28T06:51:52.000Z
|
lichee/module/torch/loss/__init__.py
|
zhaijunyu/Lichee
|
7653becd6fbf8b0715f788af3c0507c012be08b4
|
[
"Apache-2.0"
] | 1
|
2021-12-17T09:30:25.000Z
|
2022-03-05T12:30:13.000Z
|
lichee/module/torch/loss/__init__.py
|
zhaijunyu/Lichee
|
7653becd6fbf8b0715f788af3c0507c012be08b4
|
[
"Apache-2.0"
] | 17
|
2021-11-04T07:50:23.000Z
|
2022-03-24T14:24:11.000Z
|
# -*- coding: utf-8 -*-
"""
模型loss torch 实现
"""
from . import loss
from . import det_loss
| 12.857143
| 23
| 0.611111
| 13
| 90
| 4.153846
| 0.769231
| 0.37037
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.013889
| 0.2
| 90
| 6
| 24
| 15
| 0.736111
| 0.422222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
d30b19724afeae761aac5c7a7ca8a44f26ec0315
| 134
|
py
|
Python
|
lightmodels/tapered_compression/__init__.py
|
cshyundev/LW-PSMNet
|
d80d3b12c55ba30c781a7578a4728a2cd6321866
|
[
"MIT"
] | 1
|
2022-01-22T14:00:27.000Z
|
2022-01-22T14:00:27.000Z
|
lightmodels/tapered_compression/__init__.py
|
cshyundev/LW-PSMNet
|
d80d3b12c55ba30c781a7578a4728a2cd6321866
|
[
"MIT"
] | null | null | null |
lightmodels/tapered_compression/__init__.py
|
cshyundev/LW-PSMNet
|
d80d3b12c55ba30c781a7578a4728a2cd6321866
|
[
"MIT"
] | null | null | null |
from .basic import PSMNet as basic
from .stackhourglass import PSMNet as tapered_compression
# 2D CNN은 더 압축하고 3D CNN은 덜 압축한 경량화 실험 모델
| 33.5
| 57
| 0.798507
| 24
| 134
| 4.416667
| 0.75
| 0.226415
| 0.264151
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.018182
| 0.179104
| 134
| 3
| 58
| 44.666667
| 0.945455
| 0.283582
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 6
|
d34b024fcbeed1cb51cdb3541a39c65f1c4d4fb3
| 207
|
py
|
Python
|
data/__init__.py
|
dutraa/alpaca1
|
103eb3056ae6a561a75eca79b345b41c9e68e97c
|
[
"MIT"
] | null | null | null |
data/__init__.py
|
dutraa/alpaca1
|
103eb3056ae6a561a75eca79b345b41c9e68e97c
|
[
"MIT"
] | null | null | null |
data/__init__.py
|
dutraa/alpaca1
|
103eb3056ae6a561a75eca79b345b41c9e68e97c
|
[
"MIT"
] | 1
|
2022-03-22T19:18:06.000Z
|
2022-03-22T19:18:06.000Z
|
from .alpaca_data import Account, Asset, Calendar, Clock, Order, Position
from .earnings_data import EarningsDate
from .filter import Filter
from .polygon_data import PolygonSymbol
from .data import Data
| 41.4
| 74
| 0.816425
| 28
| 207
| 5.928571
| 0.535714
| 0.240964
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.135266
| 207
| 5
| 75
| 41.4
| 0.927374
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
d35a7ab3a374200d74c616482652ff827ee3df06
| 136
|
py
|
Python
|
efax/_src/distributions/cmvn/__init__.py
|
NeilGirdhar/efax
|
3a0f1ea3fafb456b024137dc5a20a9e7f9806a9f
|
[
"MIT"
] | 34
|
2020-03-24T06:21:08.000Z
|
2022-03-19T04:48:17.000Z
|
efax/_src/distributions/cmvn/__init__.py
|
NeilGirdhar/efax
|
3a0f1ea3fafb456b024137dc5a20a9e7f9806a9f
|
[
"MIT"
] | 8
|
2020-03-30T11:27:48.000Z
|
2021-07-05T06:10:06.000Z
|
efax/_src/distributions/cmvn/__init__.py
|
NeilGirdhar/efax
|
3a0f1ea3fafb456b024137dc5a20a9e7f9806a9f
|
[
"MIT"
] | 1
|
2022-03-17T01:34:07.000Z
|
2022-03-17T01:34:07.000Z
|
# from .arbitrary import *
# from .diagonal import *
# from .isotropic import *
from .circularly_symmetric import *
from .unit import *
| 22.666667
| 35
| 0.735294
| 16
| 136
| 6.1875
| 0.5
| 0.40404
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.169118
| 136
| 5
| 36
| 27.2
| 0.876106
| 0.536765
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
d3648d7062914c72eb703681f9a9eff4247ebaf1
| 70
|
py
|
Python
|
src/core/classes/players/__init__.py
|
javgomzar/chess
|
e40f784af4b8fb11e29c9c60b75ebd5800c7f643
|
[
"MIT"
] | null | null | null |
src/core/classes/players/__init__.py
|
javgomzar/chess
|
e40f784af4b8fb11e29c9c60b75ebd5800c7f643
|
[
"MIT"
] | null | null | null |
src/core/classes/players/__init__.py
|
javgomzar/chess
|
e40f784af4b8fb11e29c9c60b75ebd5800c7f643
|
[
"MIT"
] | null | null | null |
from .player import Player
from .terminal_player import TerminalPlayer
| 35
| 43
| 0.871429
| 9
| 70
| 6.666667
| 0.555556
| 0.4
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1
| 70
| 2
| 43
| 35
| 0.952381
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
6cbd7ed2f1e3e05360eb734691a711d5e029a613
| 415
|
py
|
Python
|
3-Encryption/Person.py
|
AdrianAndersen/TDT4113-Computer-Science-Programming-Project
|
7fa0043c67d27f2abc27f7e401ce19927df35eb4
|
[
"MIT"
] | null | null | null |
3-Encryption/Person.py
|
AdrianAndersen/TDT4113-Computer-Science-Programming-Project
|
7fa0043c67d27f2abc27f7e401ce19927df35eb4
|
[
"MIT"
] | 3
|
2021-09-08T03:36:42.000Z
|
2022-03-12T00:59:54.000Z
|
3-Encryption/Person.py
|
AdrianAndersen/TDT4113-Computer-Science-Programming-Project
|
7fa0043c67d27f2abc27f7e401ce19927df35eb4
|
[
"MIT"
] | null | null | null |
class Person:
__key = None
__cipher_algorithm = None
def get_key(self):
return self.__key
def set_key(self, new_key):
self.__key = new_key
def operate_cipher(self, encrypted_text):
pass
def set_cipher_algorithm(self, cipher_algorithm):
self.__cipher_algorithm = cipher_algorithm
def get_cipher_algorithm(self):
return self.__cipher_algorithm
| 21.842105
| 53
| 0.681928
| 52
| 415
| 4.923077
| 0.307692
| 0.410156
| 0.222656
| 0.195313
| 0.207031
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.253012
| 415
| 18
| 54
| 23.055556
| 0.825806
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.384615
| false
| 0.076923
| 0
| 0.153846
| 0.769231
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
|
0
| 6
|
9f115835a4de62cbf796ed4e8d4aa48d32b3c37f
| 3,681
|
py
|
Python
|
tools/font.py
|
shenchi/ascii_fps
|
4f370d3c2e6314bf212b6c09fe84795d179c02f6
|
[
"MIT"
] | null | null | null |
tools/font.py
|
shenchi/ascii_fps
|
4f370d3c2e6314bf212b6c09fe84795d179c02f6
|
[
"MIT"
] | null | null | null |
tools/font.py
|
shenchi/ascii_fps
|
4f370d3c2e6314bf212b6c09fe84795d179c02f6
|
[
"MIT"
] | null | null | null |
import struct
# these data in 'original' come from:
# http://opengameart.org/content/8x8-ascii-bitmap-font-with-c-source
original = [
0x7E7E7E7E7E7E0000,
0x7E7E7E7E7E7E0000,
0x7E7E7E7E7E7E0000,
0x7E7E7E7E7E7E0000,
0x7E7E7E7E7E7E0000,
0x7E7E7E7E7E7E0000,
0x7E7E7E7E7E7E0000,
0x7E7E7E7E7E7E0000,
0x7E7E7E7E7E7E0000,
0x0,
0x7E7E7E7E7E7E0000,
0x7E7E7E7E7E7E0000,
0x7E7E7E7E7E7E0000,
0x7E7E7E7E7E7E0000,
0x7E7E7E7E7E7E0000,
0x7E7E7E7E7E7E0000,
0x7E7E7E7E7E7E0000,
0x7E7E7E7E7E7E0000,
0x7E7E7E7E7E7E0000,
0x7E7E7E7E7E7E0000,
0x7E7E7E7E7E7E0000,
0x7E7E7E7E7E7E0000,
0x7E7E7E7E7E7E0000,
0x7E7E7E7E7E7E0000,
0x7E7E7E7E7E7E0000,
0x7E7E7E7E7E7E0000,
0x7E7E7E7E7E7E0000,
0x7E7E7E7E7E7E0000,
0x7E7E7E7E7E7E0000,
0x7E7E7E7E7E7E0000,
0x7E7E7E7E7E7E0000,
0x7E7E7E7E7E7E0000,
0x0,
0x808080800080000,
0x2828000000000000,
0x287C287C280000,
0x81E281C0A3C0800,
0x6094681629060000,
0x1C20201926190000,
0x808000000000000,
0x810202010080000,
0x1008040408100000,
0x2A1C3E1C2A000000,
0x8083E08080000,
0x81000,
0x3C00000000,
0x80000,
0x204081020400000,
0x1824424224180000,
0x8180808081C0000,
0x3C420418207E0000,
0x3C420418423C0000,
0x81828487C080000,
0x7E407C02423C0000,
0x3C407C42423C0000,
0x7E04081020400000,
0x3C423C42423C0000,
0x3C42423E023C0000,
0x80000080000,
0x80000081000,
0x6186018060000,
0x7E007E000000,
0x60180618600000,
0x3844041800100000,
0x3C449C945C201C,
0x1818243C42420000,
0x7844784444780000,
0x3844808044380000,
0x7844444444780000,
0x7C407840407C0000,
0x7C40784040400000,
0x3844809C44380000,
0x42427E4242420000,
0x3E080808083E0000,
0x1C04040444380000,
0x4448507048440000,
0x40404040407E0000,
0x4163554941410000,
0x4262524A46420000,
0x1C222222221C0000,
0x7844784040400000,
0x1C222222221C0200,
0x7844785048440000,
0x1C22100C221C0000,
0x7F08080808080000,
0x42424242423C0000,
0x8142422424180000,
0x4141495563410000,
0x4224181824420000,
0x4122140808080000,
0x7E040810207E0000,
0x3820202020380000,
0x4020100804020000,
0x3808080808380000,
0x1028000000000000,
0x7E0000,
0x1008000000000000,
0x3C023E463A0000,
0x40407C42625C0000,
0x1C20201C0000,
0x2023E42463A0000,
0x3C427E403C0000,
0x18103810100000,
0x344C44340438,
0x2020382424240000,
0x800080808080000,
0x800180808080870,
0x20202428302C0000,
0x1010101010180000,
0x665A42420000,
0x2E3222220000,
0x3C42423C0000,
0x5C62427C4040,
0x3A46423E0202,
0x2C3220200000,
0x1C201804380000,
0x103C1010180000,
0x2222261A0000,
0x424224180000,
0x81815A660000,
0x422418660000,
0x422214081060,
0x3C08103C0000,
0x1C103030101C0000,
0x808080808080800,
0x38080C0C08380000,
0x324C000000,
0x7E7E7E7E7E7E0000
]
def check(a, b):
return (a & (1 << b)) != 0
#f = open('font.bm', 'wb')
f = open('font.c', 'w')
f.write('const char bmFont_Half[] = {\n')
for i in range(0, 128):
bm = original[i]
for j in range(1, 5):
row1 = ((bm >> (8 * (8 - j * 2 + 1))) & 0xff)
row2 = ((bm >> (8 * (8 - j * 2))) & 0xff)
f.write('\t')
for k in range(7, -1, -1):
up = check(row1, k)
down = check(row2, k)
code = 32 # ' '
if up and down:
code = 219
elif up and not down:
code = 223
elif not up and down:
code = 220
#f.write(struct.pack('B', code))
f.write(hex(code) + ', ')
f.write('\n')
f.write('\n')
f.write('};\n')
f.write('const char bmFont[] = {\n')
for i in range(0, 128):
bm = original[i]
for j in range(0, 8):
row = ((bm >> (8 * (7 - j))) & 0xff)
f.write('\t')
for k in range(7, -1, -1):
code = 32 # ' '
if check(row, k):
code = 219
#f.write(struct.pack('B', code))
f.write(hex(code) + ', ')
f.write('\n')
f.write('\n')
f.write('};\n')
f.close()
| 19.47619
| 68
| 0.738386
| 329
| 3,681
| 8.258359
| 0.492401
| 0.384247
| 0.536621
| 0.662495
| 0.314685
| 0.297019
| 0.297019
| 0.297019
| 0.295179
| 0.295179
| 0
| 0.566068
| 0.152948
| 3,681
| 188
| 69
| 19.579787
| 0.305324
| 0.053518
| 0
| 0.311765
| 0
| 0
| 0.024755
| 0
| 0
| 0
| 0.615717
| 0
| 0
| 1
| 0.005882
| false
| 0
| 0.005882
| 0.005882
| 0.017647
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
9f1389cdc4c95969c9b25e3a564cac39c3e6ce42
| 88
|
py
|
Python
|
pysaintcoinach/xiv/collections/__init__.py
|
icykoneko/saintcoinach-py
|
66898385e1198203a7ec9da83787427bf6fe5c83
|
[
"MIT"
] | 7
|
2019-11-20T17:24:49.000Z
|
2022-03-29T04:17:53.000Z
|
pysaintcoinach/xiv/collections/__init__.py
|
icykoneko/saintcoinach-py
|
66898385e1198203a7ec9da83787427bf6fe5c83
|
[
"MIT"
] | 7
|
2019-04-08T07:36:46.000Z
|
2022-01-17T22:51:54.000Z
|
pysaintcoinach/xiv/collections/__init__.py
|
icykoneko/saintcoinach-py
|
66898385e1198203a7ec9da83787427bf6fe5c83
|
[
"MIT"
] | 3
|
2019-04-08T08:24:22.000Z
|
2021-06-27T22:19:15.000Z
|
from .shop_collection import ShopCollection
from .enpc_collection import ENpcCollection
| 29.333333
| 43
| 0.886364
| 10
| 88
| 7.6
| 0.7
| 0.421053
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.090909
| 88
| 2
| 44
| 44
| 0.95
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
9f82173ec624d55735f74447d14b7410898c0e19
| 248
|
py
|
Python
|
run_benchmarks_geopandas.py
|
geofileops/geobenchmark
|
573425fb9b3de2e4477b8a4c404092bbc9cd0d85
|
[
"BSD-3-Clause"
] | null | null | null |
run_benchmarks_geopandas.py
|
geofileops/geobenchmark
|
573425fb9b3de2e4477b8a4c404092bbc9cd0d85
|
[
"BSD-3-Clause"
] | 1
|
2022-03-31T18:12:23.000Z
|
2022-03-31T18:12:23.000Z
|
run_benchmarks_geopandas.py
|
geofileops/geobenchmark
|
573425fb9b3de2e4477b8a4c404092bbc9cd0d85
|
[
"BSD-3-Clause"
] | null | null | null |
import benchmarker
if __name__ == "__main__":
benchmarker.run_benchmarks(modules=["benchmarks_geopandas"])
# Only run specific benchmark function(s)
#benchmarker.run_benchmarks(modules=["benchmarks_geopandas"], functions=["buffer"])
| 27.555556
| 87
| 0.754032
| 25
| 248
| 7
| 0.64
| 0.16
| 0.274286
| 0.354286
| 0.571429
| 0.571429
| 0
| 0
| 0
| 0
| 0
| 0
| 0.120968
| 248
| 8
| 88
| 31
| 0.802752
| 0.487903
| 0
| 0
| 0
| 0
| 0.227642
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 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
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 6
|
9fad56091007dff0404b5bc6df566f42c1302ad0
| 12,768
|
py
|
Python
|
Components/piece.py
|
Bantchee/Chess
|
6c898c03cd1dfef82b9e7666026aaa7bc914800d
|
[
"MIT"
] | null | null | null |
Components/piece.py
|
Bantchee/Chess
|
6c898c03cd1dfef82b9e7666026aaa7bc914800d
|
[
"MIT"
] | null | null | null |
Components/piece.py
|
Bantchee/Chess
|
6c898c03cd1dfef82b9e7666026aaa7bc914800d
|
[
"MIT"
] | null | null | null |
from .position import Position
class Piece(object):
def __init__(self, color, name):
self.color = color
self.name = name
self.moves = []
def __str__(self):
if self.name == 'knight':
return str(self.color[0] + self.name[1])
return str(self.color[0] + self.name[0])
def getColor(self):
return self.color
def setColor(self, newColor):
self.color = newColor
def getName(self):
return self.name
def setName(self, newName):
self.name = newName
def getMoves(self):
return self.moves
def setMoves(self, list_of_positions):
self.moves = list_of_positions
def generateMoves(self, square, board):
"""
Piece Board String Numbers -> [List-of Positions]
generates a list of positions, which are moves that a piece can make
"""
if self.name == 'pawn':
return self.generatePawnMoves(square, board)
elif self.name == 'rook':
return self.generateRookMoves(square, board)
elif self.name == 'knight':
return self.generateKnightMoves(square, board)
elif self.name == 'bishop':
return self.generateBishopMoves(square, board)
elif self.name == 'queen':
return self.generateQueenMoves(square, board)
elif self.name == 'king':
return self.generateKingMoves(square, board)
def generatePawnMoves(self, square, board):
lst_of_pos = []
x = square.getPosition().getX()
y = square.getPosition().getY()
if self.getColor() == 'white':
if y - 1 >= 0:
# move forward 1
if isinstance(board.getSquare(x, y - 1).getPiece(), str):
lst_of_pos.append(Position(x, y - 1))
# initial two-square advance
if y == 6 and isinstance(board.getSquare(x, y - 2).getPiece(), str):
lst_of_pos.append(Position(x, y - 2))
# attack piece up left
if x - 1 >= 0:
if isinstance(board.getSquare(x - 1, y - 1).getPiece(), Piece):
lst_of_pos.append(Position(x - 1, y - 1))
# attack piece up right
if x + 1 <= 7:
if isinstance(board.getSquare(x + 1, y - 1).getPiece(), Piece):
lst_of_pos.append(Position(x + 1, y - 1))
elif self.getColor() == 'black':
if y + 1 <= 7:
# move up 1 square
if isinstance(board.getSquare(x, y + 1).getPiece(), str):
lst_of_pos.append(Position(x, y + 1))
# initial 2 square advance
if y == 1 and isinstance(board.getSquare(x, y + 2).getPiece(), str):
lst_of_pos.append(Position(x, y + 2))
# attack piece up left
if x - 1 >= 0:
if isinstance(board.getSquare(x - 1, y + 1).getPiece(), Piece):
lst_of_pos.append(Position(x - 1, y + 1))
# attack piece up right
if x + 1 <= 7:
if isinstance(board.getSquare(x + 1, y + 1).getPiece(), Piece):
lst_of_pos.append(Position(x + 1, y + 1))
return lst_of_pos
def generateRookMoves(self, square, board):
return self.generateUpMoves(square, board, 8) + self.generateDownMoves(square, board, 8) \
+ self.generateLeftMoves(square, board, 8) + self.generateRightMoves(square, board, 8)
def generateKnightMoves(self, square, board):
lst_of_pos = []
x = square.getPosition().getX()
y = square.getPosition().getY()
# down 1 right 3
if (x + 3 <= 7) and (y + 1 <= 7):
if isinstance(board.getSquare(x + 3, y + 1).getPiece(), str):
lst_of_pos.append(Position(x + 3, y + 1))
elif self.getColor() != board.getSquare(x + 3, y + 1).getPiece().getColor():
lst_of_pos.append(Position(x + 3, y + 1))
# up 1 right 3
if (x + 3 <= 7) and (y - 1 >= 0):
if isinstance(board.getSquare(x + 3, y - 1).getPiece(), str):
lst_of_pos.append(Position(x + 3, y - 1))
elif self.getColor() != board.getSquare(x + 3, y - 1).getPiece().getColor():
lst_of_pos.append(Position(x + 3, y - 1))
# down 1 left 3
if (x - 3 >= 0) and (y + 1 <= 7):
if isinstance(board.getSquare(x - 3, y + 1).getPiece(), str):
lst_of_pos.append(Position(x - 3, y + 1))
elif self.getColor() != board.getSquare(x - 3, y + 1).getPiece().getColor():
lst_of_pos.append(Position(x - 3, y + 1))
# up 1 left 3
if (x - 3 >= 0) and (y - 1 >= 0):
if isinstance(board.getSquare(x - 3, y - 1).getPiece(), str):
lst_of_pos.append(Position(x - 3, y - 1))
elif self.getColor() != board.getSquare(x - 3, y - 1).getPiece().getColor():
lst_of_pos.append(Position(x - 3, y - 1))
# down 3 right 1
if (x + 1 <= 7) and (y + 3 <= 7):
if isinstance(board.getSquare(x + 1, y + 3).getPiece(), str):
lst_of_pos.append(Position(x + 1, y + 3))
elif self.getColor() != board.getSquare(x + 1, y + 3).getPiece().getColor():
lst_of_pos.append(Position(x + 1, y + 3))
# up 3 right 1
if (x + 1 <= 7) and (y - 3 >= 0):
if isinstance(board.getSquare(x + 1, y - 3).getPiece(), str):
lst_of_pos.append(Position(x + 1, y - 3))
elif self.getColor() != board.getSquare(x + 1, y - 3).getPiece().getColor():
lst_of_pos.append(Position(x + 1, y - 3))
# down 3 left 1
if (x - 1 >= 0) and (y + 3 <= 7):
if isinstance(board.getSquare(x - 1, y + 3).getPiece(), str):
lst_of_pos.append(Position(x - 1, y + 3))
elif self.getColor() != board.getSquare(x - 1, y + 3).getPiece().getColor():
lst_of_pos.append(Position(x - 1, y + 3))
# up 3 left 1
if (x - 1 >= 0) and (y - 3 >= 0):
if isinstance(board.getSquare(x - 1, y - 3).getPiece(), str):
lst_of_pos.append(Position(x - 1, y - 3))
elif self.getColor() != board.getSquare(x - 1, y - 3).getPiece().getColor():
lst_of_pos.append(Position(x - 1, y - 3))
return lst_of_pos
def generateBishopMoves(self, square, board):
return self.generateLeftUpMoves(square, board, 8) + self.generateRightUpMoves(square, board, 8) \
+ self.generateLeftDownMoves(square, board, 8) + self.generateRightDownMoves(square, board, 8)
def generateQueenMoves(self, square, board):
return self.generateLeftUpMoves(square, board, 8) + self.generateUpMoves(square, board, 8) \
+ self.generateRightUpMoves(square, board, 8) + self.generateRightMoves(square, board, 8) \
+ self.generateRightDownMoves(square, board, 8) + self.generateDownMoves(square, board, 8) \
+ self.generateLeftDownMoves(square, board, 8) + self.generateLeftMoves(square, board, 8)
return lst_of_pos
def generateKingMoves(self, square, board):
return self.generateLeftUpMoves(square, board, 2) + self.generateUpMoves(square, board, 2) \
+ self.generateRightUpMoves(square, board, 2) + self.generateRightMoves(square, board, 2) \
+ self.generateRightDownMoves(square, board, 2) + self.generateDownMoves(square, board, 2) \
+ self.generateLeftDownMoves(square, board, 2) + self.generateLeftMoves(square, board, 2)
def generateUpMoves(self, square, board, number):
lst_of_pos = []
x = square.getPosition().getX()
y = square.getPosition().getY()
for val in range(1, number):
if y - val >= 0:
square = board.getSquare(x, y - val)
if isinstance(square.getPiece(), str):
lst_of_pos.append(Position(x, y - val))
continue
elif square.getPiece().getColor() != self.getColor():
lst_of_pos.append(Position(x, y - val))
break
return lst_of_pos
def generateDownMoves(self, square, board, number):
lst_of_pos = []
x = square.getPosition().getX()
y = square.getPosition().getY()
for val in range(1, number):
if y + val <= 7:
square = board.getSquare(x, y + val)
if isinstance(square.getPiece(), str):
lst_of_pos.append(Position(x, y + val))
continue
elif square.getPiece().getColor() != self.getColor():
lst_of_pos.append(Position(x, y + val))
break
return lst_of_pos
def generateLeftMoves(self, square, board, number):
lst_of_pos = []
x = square.getPosition().getX()
y = square.getPosition().getY()
for val in range(1, number):
if x - val >= 0:
square = board.getSquare(x - val, y)
if isinstance(square.getPiece(), str):
lst_of_pos.append(Position(x - val, y))
continue
elif square.getPiece().getColor() != self.getColor():
lst_of_pos.append(Position(x - val, y))
break
return lst_of_pos
def generateRightMoves(self, square, board, number):
lst_of_pos = []
x = square.getPosition().getX()
y = square.getPosition().getY()
for val in range(1, number):
if x + val <= 7:
square = board.getSquare(x + val, y)
if isinstance(square.getPiece(), str):
lst_of_pos.append(Position(x + val, y))
continue
elif square.getPiece().getColor() != self.getColor():
lst_of_pos.append(Position(x + val, y))
break
return lst_of_pos
def generateLeftUpMoves(self, square, board, number):
lst_of_pos = []
x = square.getPosition().getX()
y = square.getPosition().getY()
for val in range(1, number):
if x - val >= 0 and y - val >= 0:
square = board.getSquare(x - val, y - val)
if isinstance(square.getPiece(), str):
lst_of_pos.append(Position(x - val, y - val))
continue
elif square.getPiece().getColor() != self.getColor():
lst_of_pos.append(Position(x - val, y - val))
break
return lst_of_pos
def generateRightUpMoves(self, square, board, number):
lst_of_pos = []
x = square.getPosition().getX()
y = square.getPosition().getY()
for val in range(1, number):
if x + val <= 7 and y - val >= 0:
square = board.getSquare(x + val, y - val)
if isinstance(square.getPiece(), str):
lst_of_pos.append(Position(x + val, y - val))
continue
elif square.getPiece().getColor() != self.getColor():
lst_of_pos.append(Position(x + val, y - val))
break
return lst_of_pos
def generateLeftDownMoves(self, square, board, number):
lst_of_pos = []
x = square.getPosition().getX()
y = square.getPosition().getY()
for val in range(1, number):
if x - val >= 0 and y + val <= 7:
square = board.getSquare(x - val, y + val)
if isinstance(square.getPiece(), str):
lst_of_pos.append(Position(x - val, y + val))
continue
elif square.getPiece().getColor() != self.getColor():
lst_of_pos.append(Position(x - val, y + val))
break
return lst_of_pos
def generateRightDownMoves(self, square, board, number):
lst_of_pos = []
x = square.getPosition().getX()
y = square.getPosition().getY()
for val in range(1, number):
if x + val <= 7 and y + val <= 7:
square = board.getSquare(x + val, y + val)
if isinstance(square.getPiece(), str):
lst_of_pos.append(Position(x + val, y + val))
continue
elif square.getPiece().getColor() != self.getColor():
lst_of_pos.append(Position(x + val, y + val))
break
return lst_of_pos
| 40.66242
| 106
| 0.524044
| 1,530
| 12,768
| 4.285621
| 0.063399
| 0.046515
| 0.074424
| 0.085405
| 0.801739
| 0.770779
| 0.765594
| 0.757054
| 0.720909
| 0.681257
| 0
| 0.02415
| 0.348136
| 12,768
| 314
| 107
| 40.66242
| 0.763667
| 0.031093
| 0
| 0.491597
| 0
| 0
| 0.003651
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.096639
| false
| 0
| 0.004202
| 0.02521
| 0.214286
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 6
|
9fbe94548bd9dc047ba92aa2890ee4f881fda40f
| 101
|
py
|
Python
|
terrafirma/store/views.py
|
AlexandraAlter/django-terrafirma
|
afce5946f173aded2b4bfea78cf1b1034ec32272
|
[
"MIT"
] | null | null | null |
terrafirma/store/views.py
|
AlexandraAlter/django-terrafirma
|
afce5946f173aded2b4bfea78cf1b1034ec32272
|
[
"MIT"
] | null | null | null |
terrafirma/store/views.py
|
AlexandraAlter/django-terrafirma
|
afce5946f173aded2b4bfea78cf1b1034ec32272
|
[
"MIT"
] | null | null | null |
from django.shortcuts import render
from django import views
class StoreView(views.View):
pass
| 14.428571
| 35
| 0.782178
| 14
| 101
| 5.642857
| 0.714286
| 0.253165
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.168317
| 101
| 6
| 36
| 16.833333
| 0.940476
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.25
| 0.5
| 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
| 0
| 1
| 1
| 1
| 0
| 0
| 0
|
0
| 6
|
9fcb9c8c319977d7913b995576c9c2516ee2eb63
| 5,180
|
py
|
Python
|
setup.py
|
pykit3/k3etcd
|
6c2cb48edf02fece8d7540c25a473b9c33505a61
|
[
"MIT"
] | null | null | null |
setup.py
|
pykit3/k3etcd
|
6c2cb48edf02fece8d7540c25a473b9c33505a61
|
[
"MIT"
] | 1
|
2022-03-23T06:58:17.000Z
|
2022-03-23T06:58:17.000Z
|
setup.py
|
pykit3/k3etcd
|
6c2cb48edf02fece8d7540c25a473b9c33505a61
|
[
"MIT"
] | 1
|
2021-08-24T03:06:42.000Z
|
2021-08-24T03:06:42.000Z
|
# DO NOT EDIT!!! built with `python _building/build_setup.py`
import setuptools
setuptools.setup(
name="k3etcd",
packages=["k3etcd"],
version="0.1.0",
license='MIT',
description='A python client for Etcd https://github.com/coreos/etcd This module will only work correctly with the etcd server version 2.3.x or later.',
long_description='# k3etcd\n\n[](https://github.com/pykit3/k3etcd/actions/workflows/python-package.yml)\n[](https://travis-ci.com/pykit3/k3etcd)\n[](https://k3etcd.readthedocs.io/en/stable/?badge=stable)\n[](https://pypi.org/project/k3etcd)\n\nA python client for Etcd https://github.com/coreos/etcd This module will only work correctly with the etcd server version 2.3.x or later.\n\nk3etcd is a component of [pykit3] project: a python3 toolkit set.\n\n\n# Description\n\nA python client for Etcd https://github.com/coreos/etcd\n\nThis module will only work correctly with the etcd server version 2.3.x or later.\n\n\n\n\n# Install\n\n```\npip install k3etcd\n```\n\n# Synopsis\n\n```python\n\nimport k3etcd\n\nhosts=(\n (\'192.168.0.100\', 2379),\n (\'192.168.0.101\', 2379),\n (\'192.168.0.102\', 2379),\n)\n\ntry:\n c = k3etcd.Client(host=hosts)\n c.set(\'test_key\', \'test_val\')\n res = c.get(\'test_key\')\n # type(res) is EtcdKeysResult\n # res.key == \'test_key\'\n # res.value == \'test_val\'\n # res.dir == False\n # ...\n\n # c.st_leader\n # out type is `dict`\n # {\n # "leader": "991200c666cc4678",\n # "followers":{\n # "183ebbe2e22ee250": {\n # "latency": {\n # "current": 0.00095,\n # "average": 0.09798531413612557,\n # "standardDeviation": 1.3282931634902915,\n # "minimum": 0.000635,\n # "maximum": 18.407235\n # },\n # "counts": {\n # "fail": 0,\n # "success": 191\n # }\n # },\n # "291578612bc6deb": {\n # "latency": {\n # "current": 0.000949,\n # "average": 0.001928250000000001,\n # "standardDeviation": 0.0018525034545722491,\n # "minimum": 0.000876,\n # "maximum": 0.017505\n # },\n # "counts": {\n # "fail": 0,\n # "success": 188\n # }\n # },\n # }\n # }\n\n # c.st_self\n # out type is `dict`\n # {\n # "name": "node_1",\n # "id": "991200c666cc4678",\n # "state": "StateLeader",\n # "startTime": "2017-06-14T05:20:04.334273309Z",\n # "leaderInfo": {\n # "leader": "991200c666cc4678",\n # "uptime": "4h41m55.43860796s",\n # "startTime": "2017-06-14T05:20:04.477688456Z"\n # },\n # "recvAppendRequestCnt": 0,\n # "sendAppendRequestCnt": 736\n # }\n\n # c.st_store\n # out type is `dict`\n # {\n # "getsSuccess": 4,\n # "getsFail": 7,\n # "setsSuccess": 53,\n # "setsFail": 0,\n # "deleteSuccess": 24,\n # "deleteFail": 2,\n # "updateSuccess": 2,\n # "updateFail": 0,\n # "createSuccess": 7,\n # "createFail": 1,\n # "compareAndSwapSuccess": 3,\n # "compareAndSwapFail": 1,\n # "compareAndDeleteSuccess": 0,\n # "compareAndDeleteFail": 0,\n # "expireCount": 3,\n # "watchers": 0\n # }\n\n n = c.names\n # get names of etcd servers\n # n=[\'node1\', \'node2\', \'node3\']\n\n ids = c.ids\n # get ids of etcd servers\n # ids=[\'fca771384ed46928\', \'991200c666cc4678\', \'4768ce54ee212c95\']\n\n peerurls = [\'http://192.168.0.103:2380\']\n c.add_member(*peerurls)\n # only register new node\n # after it, start the server\n\n peerurls = [\'http://192.168.0.102:4380\']\n c.change_peerurls(\'fca771384ed46928\', *peerurls)\nexcept k3etcd.EtcdException as e:\n print(repr(e))\n\n```\n\n# Author\n\nZhang Yanpo (张炎泼) <drdr.xp@gmail.com>\n\n# Copyright and License\n\nThe MIT License (MIT)\n\nCopyright (c) 2015 Zhang Yanpo (张炎泼) <drdr.xp@gmail.com>\n\n\n[pykit3]: https://github.com/pykit3',
long_description_content_type="text/markdown",
author='Zhang Yanpo',
author_email='drdr.xp@gmail.com',
url='https://github.com/pykit3/k3etcd',
keywords=['python', 'etcd'],
python_requires='>=3.0',
install_requires=['k3ut<0.2,>=0.1.15', 'k3utfjson>=0.1.1,<0.2', 'k3utdocker<0.2,>=0.1.0', 'k3http<0.2,>=0.1.0'],
classifiers=[
'Development Status :: 4 - Beta',
'Intended Audience :: Developers',
'Topic :: Software Development :: Libraries',
] + ['Programming Language :: Python :: 3'],
)
| 215.833333
| 4,293
| 0.562162
| 680
| 5,180
| 4.252941
| 0.348529
| 0.029046
| 0.017635
| 0.009682
| 0.295989
| 0.253112
| 0.233748
| 0.185339
| 0.153527
| 0.153527
| 0
| 0.115523
| 0.246332
| 5,180
| 23
| 4,294
| 225.217391
| 0.625256
| 0.01139
| 0
| 0
| 1
| 0.333333
| 0.873413
| 0.116038
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.095238
| 0
| 0.095238
| 0.047619
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
4c7d303292cb4dc388fd93cc5ea53a0ab7056f00
| 8,360
|
py
|
Python
|
healthcareai/tests/test_dataframe_filters.py
|
iEvidently/healthcareai-py
|
8aaf1f7f758ae7797859dc21eae1c38686931e4f
|
[
"MIT"
] | 263
|
2017-05-04T17:00:33.000Z
|
2022-03-31T20:57:27.000Z
|
healthcareai/tests/test_dataframe_filters.py
|
iEvidently/healthcareai-py
|
8aaf1f7f758ae7797859dc21eae1c38686931e4f
|
[
"MIT"
] | 290
|
2017-05-03T05:04:35.000Z
|
2020-08-14T20:18:23.000Z
|
healthcareai/tests/test_dataframe_filters.py
|
iEvidently/healthcareai-py
|
8aaf1f7f758ae7797859dc21eae1c38686931e4f
|
[
"MIT"
] | 168
|
2017-05-18T19:44:20.000Z
|
2022-03-16T19:55:51.000Z
|
import pandas as pd
import numpy as np
import unittest
import healthcareai.common.filters as filters
from healthcareai.common.healthcareai_error import HealthcareAIError
class TestIsDataframe(unittest.TestCase):
def test_is_dataframe(self):
df = pd.DataFrame({
'category': ['a', 'b', 'c'],
'gender': ['F', 'M', 'F'],
'age': [1, 5, 4]
})
self.assertTrue(filters.is_dataframe(df))
def test_is_not_dataframe(self):
junk_inputs = [
'foo',
42,
[1, 2, 3],
[[1, 2, 3], [1, 2, 3], [1, 2, 3], ],
{'a': 1}
]
for junk in junk_inputs:
self.assertFalse(filters.is_dataframe(junk))
class TestValidationError(unittest.TestCase):
def test_is_dataframe(self):
df = pd.DataFrame({
'category': ['a', 'b', 'c'],
'gender': ['F', 'M', 'F'],
'age': [1, 5, 4]
})
self.assertIsNone(filters.validate_dataframe_input(df))
def test_is_not_dataframe(self):
junk_inputs = [
'foo',
42,
[1, 2, 3],
[[1, 2, 3], [1, 2, 3], [1, 2, 3], ],
{'a': 1}
]
for junk in junk_inputs:
self.assertRaises(HealthcareAIError, filters.validate_dataframe_input, junk)
class TestDataframeColumnSuffixFilter(unittest.TestCase):
def test_raises_error_on_non_dataframe_inputs(self):
junk_inputs = [
'foo',
42,
[1, 2, 3],
[[1, 2, 3], [1, 2, 3], [1, 2, 3], ],
{'a': 1}
]
for junk in junk_inputs:
self.assertRaises(HealthcareAIError, filters.DataframeColumnSuffixFilter().fit_transform, junk)
def test_removes_nothing_when_it_finds_no_matches(self):
df = pd.DataFrame({
'category': ['a', 'b', 'c'],
'gender': ['F', 'M', 'F'],
'age': [1, 5, 4]
})
result = filters.DataframeColumnSuffixFilter().fit_transform(df)
self.assertEqual(len(result), 3)
self.assertEqual(list(result.columns).sort(), list(df.columns).sort())
def test_removes_three_character_match(self):
df = pd.DataFrame({
'category': ['a', 'b', 'c'],
'gender': ['F', 'M', 'F'],
'DTS': [1, 5, 4]
})
result = filters.DataframeColumnSuffixFilter().fit_transform(df)
expected = ['category', 'gender']
self.assertEqual(len(result), 3)
self.assertEqual(list(result.columns).sort(), expected.sort())
def test_removes_long_character_match(self):
df = pd.DataFrame({
'category': ['a', 'b', 'c'],
'gender': ['F', 'M', 'F'],
'admit_DTS': [1, 5, 4]
})
result = filters.DataframeColumnSuffixFilter().fit_transform(df)
expected = ['category', 'gender']
self.assertEqual(len(result), 3)
self.assertEqual(list(result.columns).sort(), expected.sort())
def test_does_not_remove_lowercase_match(self):
df = pd.DataFrame({
'category': ['a', 'b', 'c'],
'gender': ['F', 'M', 'F'],
'admit_dts': [1, 5, 4]
})
result = filters.DataframeColumnSuffixFilter().fit_transform(df)
expected = ['category', 'gender', 'admit_dts']
self.assertEqual(len(result), 3)
self.assertEqual(list(result.columns).sort(), expected.sort())
class TestDataframeColumnDatetimeFilter(unittest.TestCase):
def test_datetime_column_removal(self):
dates = pd.date_range('1/1/2011', periods=10, freq='H')
df = pd.DataFrame(data={"number": np.random.randn(len(dates)), "date": dates})
result = filters.DataFrameColumnDateTimeFilter().fit_transform(df)
expected = ['number']
self.assertEqual(list(result.columns).sort(), expected.sort())
class TestDataframeGrainColumnDataFilter(unittest.TestCase):
def test_raises_error_on_non_dataframe_inputs(self):
junk_inputs = [
'foo',
42,
[1, 2, 3],
[[1, 2, 3], [1, 2, 3], [1, 2, 3], ],
{'a': 1}
]
for junk in junk_inputs:
self.assertRaises(HealthcareAIError, filters.DataframeColumnRemover(None).fit_transform, junk)
def test_removes_nothing_when_it_finds_no_matches(self):
df = pd.DataFrame({
'category': ['a', 'b', 'c'],
'gender': ['F', 'M', 'F'],
'age': [1, 5, 4]
})
result = filters.DataframeColumnRemover('PatientID').fit_transform(df)
self.assertEqual(len(result.columns), 3)
self.assertEqual(list(result.columns).sort(), list(df.columns).sort())
def test_removes_nothing_when_none_is_passed(self):
df = pd.DataFrame({
'category': ['a', 'b', 'c'],
'gender': ['F', 'M', 'F'],
'age': [1, 5, 4]
})
result = filters.DataframeColumnRemover(None).fit_transform(df)
self.assertEqual(len(result.columns), 3)
self.assertEqual(list(result.columns).sort(), list(df.columns).sort())
def test_removes_match(self):
df = pd.DataFrame({
'category': ['a', 'b', 'c'],
'gender': ['F', 'M', 'F'],
'PatientID': [1, 5, 4]
})
result = filters.DataframeColumnRemover('PatientID').fit_transform(df)
expected = ['category', 'gender']
self.assertEqual(len(result.columns), 2)
self.assertEqual(list(result.columns).sort(), expected.sort())
def test_does_not_remove_lowercase_match(self):
df = pd.DataFrame({
'category': ['a', 'b', 'c'],
'gender': ['F', 'M', 'F'],
'patientid': [1, 5, 4]
})
result = filters.DataframeColumnRemover('PatientID').fit_transform(df)
expected = ['category', 'gender', 'patientid']
self.assertEqual(len(result.columns), 3)
self.assertEqual(list(result.columns).sort(), expected.sort())
def test_removes_list(self):
df = pd.DataFrame({
'category': ['a', 'b', 'c'],
'gender': ['F', 'M', 'F'],
'patientid': [1, 5, 4]
})
result = filters.DataframeColumnRemover(['gender', 'patientid', 'foo']).fit_transform(df)
expected = ['category']
self.assertEqual(len(result.columns), 1)
self.assertEqual(list(result.columns).sort(), expected.sort())
class TestDataframeNullValueFilter(unittest.TestCase):
# TODO test exclusions!
def test_raises_error_on_non_dataframe_inputs(self):
junk_inputs = [
'foo',
42,
[1, 2, 3],
[[1, 2, 3], [1, 2, 3], [1, 2, 3], ],
{'a': 1}
]
for junk in junk_inputs:
self.assertRaises(HealthcareAIError, filters.DataframeColumnRemover(None).fit_transform, junk)
def test_removes_nothing_when_no_nulls_exist(self):
df = pd.DataFrame({
'category': ['a', 'b', 'c'],
'gender': ['F', 'M', 'F'],
'age': [1, 5, 4]
})
result = filters.DataframeNullValueFilter().fit_transform(df)
self.assertEqual(len(result), 3)
def test_removes_row_with_single_null(self):
df = pd.DataFrame({
'category': ['a', 'b', 'c'],
'gender': ['F', 'M', 'F'],
'age': [1, 5, None]
})
result = filters.DataframeNullValueFilter().fit_transform(df)
self.assertEqual(len(result), 2)
def test_removes_row_with_all_nulls(self):
df = pd.DataFrame({
'category': ['a', None, None],
'gender': ['F', 'M', None],
'age': [1, 5, None]
})
result = filters.DataframeNullValueFilter().fit_transform(df)
self.assertEqual(len(result), 1)
def test_removes_row_all_nulls_exception(self):
df = pd.DataFrame({'a': [1, None, 2, 3],
'b': ['m', 'f', None, 'f'],
'c': [3, 4, 5, None],
'd': [None, 8, 1, 3],
'label': ['Y', 'N', 'Y', 'N']})
self.assertRaises(HealthcareAIError, filters.DataframeNullValueFilter().fit_transform, df)
if __name__ == '__main__':
unittest.main()
| 31.908397
| 107
| 0.541148
| 909
| 8,360
| 4.822882
| 0.133113
| 0.075274
| 0.013686
| 0.058166
| 0.776688
| 0.737911
| 0.73198
| 0.73198
| 0.731752
| 0.69708
| 0
| 0.024365
| 0.293062
| 8,360
| 261
| 108
| 32.030651
| 0.717428
| 0.002512
| 0
| 0.711443
| 0
| 0
| 0.067051
| 0
| 0
| 0
| 0
| 0.003831
| 0.149254
| 1
| 0.104478
| false
| 0.004975
| 0.024876
| 0
| 0.159204
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 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
| 6
|
e27a1c34e5312e9a612066f3282d708ba85d5ebc
| 41
|
py
|
Python
|
drl_atari/models/__init__.py
|
sebastianbujwid/drl-atari
|
ef2471e3e5fe339471b17ff5f08fcee626b8e464
|
[
"MIT"
] | null | null | null |
drl_atari/models/__init__.py
|
sebastianbujwid/drl-atari
|
ef2471e3e5fe339471b17ff5f08fcee626b8e464
|
[
"MIT"
] | null | null | null |
drl_atari/models/__init__.py
|
sebastianbujwid/drl-atari
|
ef2471e3e5fe339471b17ff5f08fcee626b8e464
|
[
"MIT"
] | null | null | null |
from .a2c import A2C
from .dqn import DQN
| 20.5
| 20
| 0.780488
| 8
| 41
| 4
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.058824
| 0.170732
| 41
| 2
| 21
| 20.5
| 0.882353
| 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
| 1
| 0
|
0
| 6
|
e27a90857e6dbc51e76f6ce75f96bb0a659ceb89
| 79
|
py
|
Python
|
tasks/hello-world/test_solution.py
|
mostly-harmless-ai/challenges
|
45e750d93a114faa43609dc7174e73254f5e041c
|
[
"MIT"
] | 11
|
2021-06-30T22:46:14.000Z
|
2022-01-08T04:24:59.000Z
|
tasks/hello-world/test_solution.py
|
Hardik357/challenges
|
901c8914cc4bddc3c910a3a4f122e66f43217ad7
|
[
"MIT"
] | 2
|
2021-07-06T13:48:06.000Z
|
2021-07-08T12:33:53.000Z
|
tasks/hello-world/test_solution.py
|
Hardik357/challenges
|
901c8914cc4bddc3c910a3a4f122e66f43217ad7
|
[
"MIT"
] | 2
|
2021-07-01T03:18:20.000Z
|
2021-07-08T07:36:58.000Z
|
from hello_world import answer
def test_solution():
assert answer() == 42
| 15.8
| 30
| 0.721519
| 11
| 79
| 5
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.03125
| 0.189873
| 79
| 4
| 31
| 19.75
| 0.828125
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.333333
| 1
| 0.333333
| 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
| 1
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
e287fe381f957f1e2d95dd8e72b62826d64cc61a
| 103
|
py
|
Python
|
holobot/extensions/moderation/exceptions/__init__.py
|
rexor12/holobot
|
89b7b416403d13ccfeee117ef942426b08d3651d
|
[
"MIT"
] | 1
|
2021-05-24T00:17:46.000Z
|
2021-05-24T00:17:46.000Z
|
holobot/extensions/moderation/exceptions/__init__.py
|
rexor12/holobot
|
89b7b416403d13ccfeee117ef942426b08d3651d
|
[
"MIT"
] | 41
|
2021-03-24T22:50:09.000Z
|
2021-12-17T12:15:13.000Z
|
holobot/extensions/moderation/exceptions/__init__.py
|
rexor12/holobot
|
89b7b416403d13ccfeee117ef942426b08d3651d
|
[
"MIT"
] | null | null | null |
from .no_permission_error import NoPermissionError
from .role_not_found_error import RoleNotFoundError
| 34.333333
| 51
| 0.902913
| 13
| 103
| 6.769231
| 0.769231
| 0.25
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.07767
| 103
| 2
| 52
| 51.5
| 0.926316
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
e2995a5c07a773a755c51bce2a8c9db3ec1f13f7
| 68
|
py
|
Python
|
src/reader/__init__.py
|
misssoft/Fan.Python
|
c9ffffefa44bc9a67dbf39089acc93b14c1d761c
|
[
"MIT"
] | null | null | null |
src/reader/__init__.py
|
misssoft/Fan.Python
|
c9ffffefa44bc9a67dbf39089acc93b14c1d761c
|
[
"MIT"
] | null | null | null |
src/reader/__init__.py
|
misssoft/Fan.Python
|
c9ffffefa44bc9a67dbf39089acc93b14c1d761c
|
[
"MIT"
] | null | null | null |
print('reader is being imported!')
from reader.reader import Reader
| 22.666667
| 34
| 0.794118
| 10
| 68
| 5.4
| 0.7
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.117647
| 68
| 3
| 35
| 22.666667
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0.362319
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0.5
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 1
|
0
| 6
|
2cc972be6b31e9e9f838c3dc53b739470acccee3
| 69
|
py
|
Python
|
jh_server/apps/jidou_hikki/models/__init__.py
|
agent-whisper/Jidou-Hikki-Django
|
aad3e2356f5dff91df3420359972f17c0784af53
|
[
"MIT"
] | null | null | null |
jh_server/apps/jidou_hikki/models/__init__.py
|
agent-whisper/Jidou-Hikki-Django
|
aad3e2356f5dff91df3420359972f17c0784af53
|
[
"MIT"
] | null | null | null |
jh_server/apps/jidou_hikki/models/__init__.py
|
agent-whisper/Jidou-Hikki-Django
|
aad3e2356f5dff91df3420359972f17c0784af53
|
[
"MIT"
] | null | null | null |
from .user import *
from .vocabulary import *
from .notebook import *
| 23
| 25
| 0.753623
| 9
| 69
| 5.777778
| 0.555556
| 0.384615
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.15942
| 69
| 3
| 26
| 23
| 0.896552
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
e2f6a5ad6294348e7d99446a68fc4337f7fcdaed
| 38
|
py
|
Python
|
src/model/__init__.py
|
menDDang/CycleGan-tf_2_1
|
073c5ebce92ba2cfa76804e43fdf6b4b5d4b279b
|
[
"Apache-2.0"
] | null | null | null |
src/model/__init__.py
|
menDDang/CycleGan-tf_2_1
|
073c5ebce92ba2cfa76804e43fdf6b4b5d4b279b
|
[
"Apache-2.0"
] | null | null | null |
src/model/__init__.py
|
menDDang/CycleGan-tf_2_1
|
073c5ebce92ba2cfa76804e43fdf6b4b5d4b279b
|
[
"Apache-2.0"
] | null | null | null |
from .generator import ResnetGenerator
| 38
| 38
| 0.894737
| 4
| 38
| 8.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.078947
| 38
| 1
| 38
| 38
| 0.971429
| 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
| 1
| 0
|
0
| 6
|
3915a2f67c24754b165d5f29c38617a5a7d88ef9
| 26
|
py
|
Python
|
dailycovid/__init__.py
|
Fitzy1293/daily-covid
|
b85daa17391fccd2f6ca0b348bbbeadd57290992
|
[
"MIT"
] | 5
|
2020-12-06T17:18:11.000Z
|
2020-12-17T00:14:24.000Z
|
dailycovid/__init__.py
|
Fitzy1293/daily-covid
|
b85daa17391fccd2f6ca0b348bbbeadd57290992
|
[
"MIT"
] | null | null | null |
dailycovid/__init__.py
|
Fitzy1293/daily-covid
|
b85daa17391fccd2f6ca0b348bbbeadd57290992
|
[
"MIT"
] | 1
|
2020-12-08T15:40:19.000Z
|
2020-12-08T15:40:19.000Z
|
from .dailycovid import *
| 13
| 25
| 0.769231
| 3
| 26
| 6.666667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.153846
| 26
| 1
| 26
| 26
| 0.909091
| 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
| 1
| 0
|
0
| 6
|
3918b78d14e40ac4175a621c8a6a1b8ba580ee5f
| 73
|
py
|
Python
|
kivymd/uix/bottomnavigation/__init__.py
|
AnEx07/KivyMD
|
e4004a570ad3f1874b3540cc1b0c243b3037bba8
|
[
"MIT"
] | null | null | null |
kivymd/uix/bottomnavigation/__init__.py
|
AnEx07/KivyMD
|
e4004a570ad3f1874b3540cc1b0c243b3037bba8
|
[
"MIT"
] | null | null | null |
kivymd/uix/bottomnavigation/__init__.py
|
AnEx07/KivyMD
|
e4004a570ad3f1874b3540cc1b0c243b3037bba8
|
[
"MIT"
] | null | null | null |
from .bottomnavigation import MDBottomNavigation, MDBottomNavigationItem
| 36.5
| 72
| 0.90411
| 5
| 73
| 13.2
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.068493
| 73
| 1
| 73
| 73
| 0.970588
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
3938658ac03cf0ed34b1a62a215891ed28f6d665
| 3,453
|
py
|
Python
|
pyEX/studies/technicals/volume.py
|
sourcery-ai-bot/pyEX
|
21be6b4f72e6f8593df40f6d3632b97ea60c9532
|
[
"Apache-2.0"
] | 107
|
2021-03-05T05:18:34.000Z
|
2022-03-30T22:25:13.000Z
|
pyEX/studies/technicals/volume.py
|
sourcery-ai-bot/pyEX
|
21be6b4f72e6f8593df40f6d3632b97ea60c9532
|
[
"Apache-2.0"
] | 112
|
2021-03-05T03:41:21.000Z
|
2021-12-01T03:24:22.000Z
|
pyEX/studies/technicals/volume.py
|
sourcery-ai-bot/pyEX
|
21be6b4f72e6f8593df40f6d3632b97ea60c9532
|
[
"Apache-2.0"
] | 37
|
2021-03-04T18:32:09.000Z
|
2022-03-24T02:20:12.000Z
|
# *****************************************************************************
#
# Copyright (c) 2020, the pyEX authors.
#
# This file is part of the pyEX library, distributed under the terms of
# the Apache License 2.0. The full license can be found in the LICENSE file.
#
import pandas as pd
import talib as t
def ad(
client,
symbol,
range="6m",
highcol="high",
lowcol="low",
closecol="close",
volumecol="volume",
):
"""This will return a dataframe of Chaikin A/D Line for the given symbol across
the given range
Args:
client (pyEX.Client): Client
symbol (string): Ticker
range (string): range to use, for pyEX.chart
highcol (string): column to use to calculate
lowcol (string): column to use to calculate
closecol (string): column to use to calculate
volumecol (string): column to use to calculate
Returns:
DataFrame: result
"""
df = client.chartDF(symbol, range)
ad = t.AD(
df[highcol].values.astype(float),
df[lowcol].values.astype(float),
df[closecol].values.astype(float),
df[volumecol].values.astype(float),
)
return pd.DataFrame(
{
highcol: df[highcol].values,
lowcol: df[lowcol].values,
closecol: df[closecol].values,
volumecol: df[volumecol].values,
"a/d": ad,
}
)
def adosc(
client,
symbol,
range="6m",
highcol="high",
lowcol="low",
closecol="close",
volumecol="volume",
fastperiod=3,
slowperiod=10,
):
"""This will return a dataframe of Chaikin A/D Oscillator for the given symbol across
the given range
Args:
client (pyEX.Client): Client
symbol (string): Ticker
range (string): range to use, for pyEX.chart
highcol (string): column to use to calculate
lowcol (string): column to use to calculate
closecol (string): column to use to calculate
volumecol (string): column to use to calculate
fastperiod (int): fast period to calculate across
slowperiod (int): slow period to calculate across
Returns:
DataFrame: result
"""
df = client.chartDF(symbol, range)
adosc = t.ADOSC(
df[highcol].values.astype(float),
df[lowcol].values.astype(float),
df[closecol].values.astype(float),
df[volumecol].values.astype(float),
fastperiod,
slowperiod,
)
return pd.DataFrame(
{
highcol: df[highcol].values,
lowcol: df[lowcol].values,
closecol: df[closecol].values,
volumecol: df[volumecol].values,
"a/d": adosc,
}
)
def obv(client, symbol, range="6m", closecol="close", volumecol="volume"):
"""This will return a dataframe of On Balance Volume for the given symbol across
the given range
Args:
client (pyEX.Client): Client
symbol (string): Ticker
range (string): range to use, for pyEX.chart
closecol (string): column to use to calculate
volumecol (string): column to use to calculate
Returns:
DataFrame: result
"""
df = client.chartDF(symbol, range)
obv = t.OBV(df[closecol].values.astype(float), df[volumecol].values.astype(float))
return pd.DataFrame(
{closecol: df[closecol].values, volumecol: df[volumecol].values, "obv": obv}
)
| 29.016807
| 89
| 0.594266
| 411
| 3,453
| 4.992701
| 0.199513
| 0.031676
| 0.068226
| 0.082846
| 0.806043
| 0.806043
| 0.806043
| 0.806043
| 0.758285
| 0.736842
| 0
| 0.004817
| 0.278598
| 3,453
| 118
| 90
| 29.262712
| 0.818948
| 0.462786
| 0
| 0.612903
| 0
| 0
| 0.036773
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.048387
| false
| 0
| 0.032258
| 0
| 0.129032
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 6
|
3948542936609bace22cf2942161a4a1a99f00cd
| 31
|
py
|
Python
|
johansen/__init__.py
|
scoursen/johansen
|
e4b815a09f60ce1e4d9473a3e6cad2f128d03a52
|
[
"MIT"
] | 38
|
2016-08-20T20:10:02.000Z
|
2022-03-25T23:17:22.000Z
|
johansen/__init__.py
|
scoursen/johansen
|
e4b815a09f60ce1e4d9473a3e6cad2f128d03a52
|
[
"MIT"
] | 4
|
2016-08-26T05:39:11.000Z
|
2020-02-29T15:37:40.000Z
|
johansen/__init__.py
|
scoursen/johansen
|
e4b815a09f60ce1e4d9473a3e6cad2f128d03a52
|
[
"MIT"
] | 24
|
2016-08-25T23:13:50.000Z
|
2022-01-18T07:42:30.000Z
|
from .johansen import Johansen
| 15.5
| 30
| 0.83871
| 4
| 31
| 6.5
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.129032
| 31
| 1
| 31
| 31
| 0.962963
| 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
| 1
| 0
|
0
| 6
|
1ac61fe88c526a5c2a35c8b926c7c99b31220223
| 77
|
py
|
Python
|
src/datasets/__init__.py
|
Avonite/context-project
|
03b9ecb6679d28ff8fc2b3bfec8793223fefc4a6
|
[
"MIT"
] | null | null | null |
src/datasets/__init__.py
|
Avonite/context-project
|
03b9ecb6679d28ff8fc2b3bfec8793223fefc4a6
|
[
"MIT"
] | null | null | null |
src/datasets/__init__.py
|
Avonite/context-project
|
03b9ecb6679d28ff8fc2b3bfec8793223fefc4a6
|
[
"MIT"
] | null | null | null |
from .datasets import MeanFashionMNIST, MedianFashionMNIST, StdFashionMNIST
| 38.5
| 76
| 0.87013
| 6
| 77
| 11.166667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.090909
| 77
| 1
| 77
| 77
| 0.957143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
46ea8c1b3eb3362cbf81c7f1615270154113b52c
| 47
|
py
|
Python
|
src/server/bo/__init__.py
|
JanCwik/SoftwarePraktikum
|
d4a2b196f21a5379188cb78b31c59d69f739964f
|
[
"RSA-MD"
] | 7
|
2020-05-18T14:20:17.000Z
|
2020-07-27T17:37:38.000Z
|
src/server/bo/__init__.py
|
JanCwik/SoftwarePraktikum
|
d4a2b196f21a5379188cb78b31c59d69f739964f
|
[
"RSA-MD"
] | null | null | null |
src/server/bo/__init__.py
|
JanCwik/SoftwarePraktikum
|
d4a2b196f21a5379188cb78b31c59d69f739964f
|
[
"RSA-MD"
] | 2
|
2020-05-18T14:20:22.000Z
|
2020-07-27T17:37:05.000Z
|
print("BusinessLogic package initialisiert...")
| 47
| 47
| 0.808511
| 4
| 47
| 9.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.042553
| 47
| 1
| 47
| 47
| 0.844444
| 0
| 0
| 0
| 0
| 0
| 0.791667
| 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
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 6
|
202218ee08621b579cd5905560abbc2d367f7d87
| 28
|
py
|
Python
|
odoo-13.0/odoo/addons/test_action_bindings/tests/__init__.py
|
VaibhavBhujade/Blockchain-ERP-interoperability
|
b5190a037fb6615386f7cbad024d51b0abd4ba03
|
[
"MIT"
] | null | null | null |
odoo-13.0/odoo/addons/test_action_bindings/tests/__init__.py
|
VaibhavBhujade/Blockchain-ERP-interoperability
|
b5190a037fb6615386f7cbad024d51b0abd4ba03
|
[
"MIT"
] | null | null | null |
odoo-13.0/odoo/addons/test_action_bindings/tests/__init__.py
|
VaibhavBhujade/Blockchain-ERP-interoperability
|
b5190a037fb6615386f7cbad024d51b0abd4ba03
|
[
"MIT"
] | null | null | null |
from . import test_bindings
| 14
| 27
| 0.821429
| 4
| 28
| 5.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 28
| 1
| 28
| 28
| 0.916667
| 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
| 1
| 0
|
0
| 6
|
2023d5682e2c6925851560c638e19ef231bbd58a
| 5,224
|
py
|
Python
|
tests/provider/test_views.py
|
lenarother/django-centralauth
|
dadd78191d879c96fc2730cb5625ab833c1ea0da
|
[
"MIT"
] | 6
|
2018-11-22T15:06:57.000Z
|
2021-03-16T18:44:41.000Z
|
tests/provider/test_views.py
|
lenarother/django-centralauth
|
dadd78191d879c96fc2730cb5625ab833c1ea0da
|
[
"MIT"
] | 10
|
2021-05-04T18:55:50.000Z
|
2021-06-01T22:58:43.000Z
|
tests/provider/test_views.py
|
lenarother/django-centralauth
|
dadd78191d879c96fc2730cb5625ab833c1ea0da
|
[
"MIT"
] | 1
|
2019-04-30T08:07:38.000Z
|
2019-04-30T08:07:38.000Z
|
import json
import pytest
from centralauth.provider.models import ApplicationPermission
from ..factories import ApplicationFactory
@pytest.mark.django_db
class TestPermsEndpoint:
def test_no_data(self, client):
response = client.post('/provider/perms/', content_type='application/json', secure=True)
assert response.status_code == 403
def test_incorrect_client_id(self, client):
ApplicationFactory.create(client_id='app1', client_secret='secret1')
response = client.post(
'/provider/perms/',
json.dumps({'client_id': 'foo', 'client_secret': 'secret1'}),
content_type='application/json',
secure=True,
)
assert response.status_code == 403
def test_incorrect_client_secret(self, client):
ApplicationFactory.create(client_id='app1', client_secret='secret1')
response = client.post(
'/provider/perms/',
json.dumps({'client_id': 'app1', 'client_secret': 'foo'}),
content_type='application/json',
secure=True,
)
assert response.status_code == 403
def test_permissions_synced(self, client):
ApplicationFactory.create(client_id='app1', client_secret='secret1')
# First permissions sync
response = client.post(
'/provider/perms/',
json.dumps(
{
'client_id': 'app1',
'client_secret': 'secret1',
'perms': [
{'app_label': 'label1', 'codename': 'codename1', 'repr': 'repr1'},
{'app_label': 'label2', 'codename': 'codename2', 'repr': 'repr2'},
],
}
),
content_type='application/json',
secure=True,
)
assert response.status_code == 200
response_json = response.json()
assert response_json['success'] is True
assert response_json['synced'] == 2
assert response_json['created'] == 2
assert response_json['deleted'] == 0
assert response_json['count'] == ApplicationPermission.objects.count() == 2
# Second permissions sync
response = client.post(
'/provider/perms/',
json.dumps(
{
'client_id': 'app1',
'client_secret': 'secret1',
'perms': [
{'app_label': 'label1', 'codename': 'codename1', 'repr': 'repr1'},
{'app_label': 'label2', 'codename': 'codename2', 'repr': 'repr2'},
{'app_label': 'label3', 'codename': 'codename3', 'repr': 'repr3'},
],
}
),
content_type='application/json',
secure=True,
)
assert response.status_code == 200
response_json = response.json()
assert response_json['success'] is True
assert response_json['synced'] == 3
assert response_json['created'] == 1
assert response_json['deleted'] == 0
assert response_json['count'] == ApplicationPermission.objects.count() == 3
def test_permissions_synced_remove_perms(self, client):
ApplicationFactory.create(client_id='app1', client_secret='secret1')
# First permissions sync
response = client.post(
'/provider/perms/',
json.dumps(
{
'client_id': 'app1',
'client_secret': 'secret1',
'perms': [
{'app_label': 'label1', 'codename': 'codename1', 'repr': 'repr1'},
{'app_label': 'label2', 'codename': 'codename2', 'repr': 'repr2'},
{'app_label': 'label3', 'codename': 'codename3', 'repr': 'repr3'},
],
}
),
content_type='application/json',
secure=True,
)
assert response.status_code == 200
response_json = response.json()
assert response_json['success'] is True
assert response_json['synced'] == 3
assert response_json['created'] == 3
assert response_json['deleted'] == 0
assert response_json['count'] == ApplicationPermission.objects.count() == 3
# Second permissions sync - some perms deleted
response = client.post(
'/provider/perms/',
json.dumps(
{
'client_id': 'app1',
'client_secret': 'secret1',
'perms': [
{'app_label': 'label1', 'codename': 'codename1', 'repr': 'repr1'},
],
}
),
content_type='application/json',
secure=True,
)
assert response.status_code == 200
response_json = response.json()
assert response_json['success'] is True
assert response_json['synced'] == 1
assert response_json['created'] == 0
assert response_json['deleted'] == 2
assert response_json['count'] == ApplicationPermission.objects.count() == 1
| 36.788732
| 96
| 0.527948
| 460
| 5,224
| 5.817391
| 0.156522
| 0.125561
| 0.134529
| 0.060538
| 0.85426
| 0.842676
| 0.842676
| 0.821749
| 0.821749
| 0.821749
| 0
| 0.023893
| 0.343032
| 5,224
| 141
| 97
| 37.049645
| 0.755828
| 0.021822
| 0
| 0.691667
| 0
| 0
| 0.191577
| 0
| 0
| 0
| 0
| 0
| 0.225
| 1
| 0.041667
| false
| 0
| 0.033333
| 0
| 0.083333
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 6
|
2047eba2c494df15e37bfbaeb574bfc543ebf527
| 59
|
py
|
Python
|
veruska/env.py
|
aricodes-oss/veruska
|
afa6264c12780ab59eacc39876992e1a92cde7c2
|
[
"MIT"
] | null | null | null |
veruska/env.py
|
aricodes-oss/veruska
|
afa6264c12780ab59eacc39876992e1a92cde7c2
|
[
"MIT"
] | null | null | null |
veruska/env.py
|
aricodes-oss/veruska
|
afa6264c12780ab59eacc39876992e1a92cde7c2
|
[
"MIT"
] | null | null | null |
import environ
env = environ.Env()
environ.Env.read_env()
| 11.8
| 22
| 0.745763
| 9
| 59
| 4.777778
| 0.444444
| 0.697674
| 0.790698
| 0.930233
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.118644
| 59
| 4
| 23
| 14.75
| 0.826923
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 1
| 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
| 6
|
64557a692e36dcfa4e35351c699b0ed52f3f22ee
| 25
|
py
|
Python
|
src/py_starter/__init__.py
|
jameskabbes/py_starter
|
0638d5835d58f889314f0afe273a628444c494f7
|
[
"MIT"
] | null | null | null |
src/py_starter/__init__.py
|
jameskabbes/py_starter
|
0638d5835d58f889314f0afe273a628444c494f7
|
[
"MIT"
] | null | null | null |
src/py_starter/__init__.py
|
jameskabbes/py_starter
|
0638d5835d58f889314f0afe273a628444c494f7
|
[
"MIT"
] | null | null | null |
from .py_starter import *
| 25
| 25
| 0.8
| 4
| 25
| 4.75
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.12
| 25
| 1
| 25
| 25
| 0.863636
| 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
| 1
| 0
|
0
| 6
|
647221d88db5aa3a67bcb7eac021d907eef8b920
| 9,483
|
py
|
Python
|
GDQN/Model_Converter.py
|
Dongyeongkim/Alphagene
|
60e4171ce2d3ae9507c637b1c4dc8f28dcae5a60
|
[
"MIT"
] | 5
|
2019-09-03T15:01:47.000Z
|
2020-09-13T11:55:33.000Z
|
GDQN/Model_Converter.py
|
Dongyeongkim/Alphagene-BreakOut
|
60e4171ce2d3ae9507c637b1c4dc8f28dcae5a60
|
[
"MIT"
] | null | null | null |
GDQN/Model_Converter.py
|
Dongyeongkim/Alphagene-BreakOut
|
60e4171ce2d3ae9507c637b1c4dc8f28dcae5a60
|
[
"MIT"
] | 2
|
2019-09-15T11:46:28.000Z
|
2022-02-04T00:57:17.000Z
|
import tensorflow as tf
class GeneticModel:
def __init__(self, Mgen, Sgen):
self.model = self.Convert2Model(Mgen, Sgen)
pass
def Calc_Conv_HP(self, PS_gen1, PS_gen2):
Kernel_Size = PS_gen1 - PS_gen2 + 1
return Kernel_Size
def Calc_Pool_HP(self, PS_gen1, PS_gen2):
strides = 1;
pooling_size = 1
if ((PS_gen1 + 1) % (PS_gen2 + 1) == 0):
strides = int((PS_gen1 + 1) / (PS_gen2 + 1));
pooling_size = strides
else:
strides = int((PS_gen1 + 2) / (PS_gen2 + 1));
pooling_size = strides - 1
return strides, pooling_size
def Calc_ConvTranspose_HP(self, PS_gen1, PS_gen2):
kernel_size = PS_gen2 - PS_gen1 + 1
return kernel_size
def Calc_UpSampling_HP(self, PS_gen1, PS_gen2):
size = int(PS_gen2 / PS_gen1)
return size
def lambda_out_shape(self, input_shape):
shape = list(input_shape)
shape[-1] = 1
return tuple(shape)
def Convert2Model(self, Mgen, Sgen):
model = tf.keras.models.Sequential()
Master_Gen = (lambda x: [x[3 * i:3 * i + 3] for i in range(11)])(Mgen)
Sgen = (lambda x: [x[2 * i:2 * i + 2] for i in range(11)])(Sgen)
Valid_Sgen_List = [];
Valid_Mgen_List = []
for i in range(len(Master_Gen)):
if ((Master_Gen[i] != '011') and (Master_Gen[i] != '110')):
Valid_Mgen_List.append(Master_Gen[i])
Valid_Sgen_List.append(Sgen[i])
if (Master_Gen[i] == '111'):
break
for i in range(len(Valid_Mgen_List)):
Prev = 1
try:
Prev = model.layers[i].output_shape[1]
Post = int(Valid_Sgen_List[i], 16)
except IndexError:
Post = 4
if(i==0):
if (Prev >= Post):
if (Valid_Mgen_List[i] == '010'):
# Sgen = Prev
t = Prev
model.add(tf.keras.layers.Dense(t ** 2, activation='relu',input_shape=(84,84,4)))
elif (Valid_Mgen_List[i] == '111'):
# Sgen = Prev
t = Prev
model.add(tf.keras.layers.Dense(t ** 2, activation='softmax',input_shape=(84,84,4)))
break
elif (Valid_Mgen_List[i] == '000'):
Kernel_Size = self.Calc_Conv_HP(Prev, Post)
model.add(tf.keras.layers.Conv2D(16, kernel_size=(Kernel_Size, Kernel_Size),
activation='relu',input_shape=(84,84,4)))
elif (Valid_Mgen_List[i] == '001'):
Strides, pooling_size = self.Calc_Pool_HP(Prev, Post)
model.add(tf.keras.layers.AveragePooling2D(pool_size=(pooling_size, pooling_size),
strides=(Strides, Strides),input_shape=(84,84,4)))
elif (Valid_Mgen_List[i] == '100'):
Kernel_Size = self.Calc_Conv_HP(Prev, Post)
model.add(tf.keras.layers.Conv2D(16, kernel_size=(Kernel_Size, Kernel_Size),
activation='sigmoid',input_shape=(84,84,4)))
elif (Valid_Mgen_List[i] == '101'):
Kernel_Size = self.Calc_Conv_HP(Prev, Post)
model.add(tf.keras.layers.Conv2D(16, kernel_size=(Kernel_Size, Kernel_Size),
activation='relu',input_shape=((84,84,4))))
model.add(tf.keras.layers.GaussianNoise(1))
else:
if (Valid_Mgen_List[i] == '010'):
t = Prev
model.add(tf.keras.layers.Dense(t ** 2, activation='relu',input_shape=((84,84,4))))
elif (Valid_Mgen_List[i] == '111'):
t = Prev
model.add(tf.keras.layers.Dense(t ** 2, activation='softmax',input_shape=((84,84,4))))
break
elif (Valid_Mgen_List[i] == '000'):
kernel_size = self.Calc_ConvTranspose_HP(Prev, Post)
model.add(tf.keras.layers.Conv2DTranspose(16, kernel_size=(kernel_size, kernel_size),
activation='relu',input_shape=((84,84,4))))
elif (Valid_Mgen_List[i] == '001'):
Size = self.Calc_UpSampling_HP(Prev, Post)
model.add(tf.keras.layers.UpSampling2D(size=(Size, Size),input_shape=((84,84,4))))
elif (Valid_Mgen_List[i] == '100'):
kernel_size = self.Calc_ConvTranspose_HP(Prev, Post)
model.add(tf.keras.layers.Conv2DTranspose(16, kernel_size=(kernel_size, kernel_size),
activation='sigmoid',input_shape=((84,84,4))))
elif (Valid_Mgen_List[i] == '101'):
kernel_size = self.Calc_ConvTranspose_HP(Prev, Post)
model.add(tf.keras.layers.Conv2DTranspose(16, kernel_size=(kernel_size, kernel_size),
activation='relu',input_shape=((84,84,4))))
model.add(tf.keras.layers.GaussianNoise(1))
else:
if (Prev >= Post):
if (Valid_Mgen_List[i] == '010'):
# Sgen = Prev
t = Prev
model.add(tf.keras.layers.Dense(t ** 2, activation='relu'))
elif (Valid_Mgen_List[i] == '111'):
# Sgen = Prev
t = Prev
model.add(tf.keras.layers.Dense(t ** 2, activation='softmax'))
break
elif (Valid_Mgen_List[i] == '000'):
Kernel_Size = self.Calc_Conv_HP(Prev, Post)
model.add(tf.keras.layers.Conv2D(16, kernel_size=(Kernel_Size, Kernel_Size),
activation='relu'))
elif (Valid_Mgen_List[i] == '001'):
Strides, pooling_size = self.Calc_Pool_HP(Prev, Post)
model.add(tf.keras.layers.AveragePooling2D(pool_size=(pooling_size, pooling_size),
strides=(Strides, Strides)))
elif (Valid_Mgen_List[i] == '100'):
Kernel_Size = self.Calc_Conv_HP(Prev, Post)
model.add(tf.keras.layers.Conv2D(16, kernel_size=(Kernel_Size, Kernel_Size),
activation='sigmoid'))
elif (Valid_Mgen_List[i] == '101'):
Kernel_Size = self.Calc_Conv_HP(Prev, Post)
model.add(tf.keras.layers.Conv2D(16, kernel_size=(Kernel_Size, Kernel_Size),
activation='relu'))
model.add(tf.keras.layers.GaussianNoise(1))
else:
if (Valid_Mgen_List[i] == '010'):
t = Prev
model.add(tf.keras.layers.Dense(t ** 2, activation='relu'))
elif (Valid_Mgen_List[i] == '111'):
t = Prev
model.add(tf.keras.layers.Dense(t ** 2, activation='softmax'))
break
elif (Valid_Mgen_List[i] == '000'):
kernel_size = self.Calc_ConvTranspose_HP(Prev, Post)
model.add(tf.keras.layers.Conv2DTranspose(16, kernel_size=(kernel_size, kernel_size),
activation='relu'))
elif (Valid_Mgen_List[i] == '001'):
Size = self.Calc_UpSampling_HP(Prev, Post)
model.add(tf.keras.layers.UpSampling2D(size=(Size, Size)))
elif (Valid_Mgen_List[i] == '100'):
kernel_size = self.Calc_ConvTranspose_HP(Prev, Post)
model.add(tf.keras.layers.Conv2DTranspose(16, kernel_size=(kernel_size, kernel_size),
activation='sigmoid'))
elif (Valid_Mgen_List[i] == '101'):
kernel_size = self.Calc_ConvTranspose_HP(Prev, Post)
model.add(tf.keras.layers.Conv2DTranspose(16, kernel_size=(kernel_size, kernel_size),
activation='relu'))
model.add(tf.keras.layers.GaussianNoise(1))
model.add(tf.keras.layers.Flatten());
model.add(tf.keras.layers.Dense(4))
print('MODEL Constructing has DONE')
print(type(model))
return model
| 49.910526
| 118
| 0.458294
| 983
| 9,483
| 4.206511
| 0.095626
| 0.125756
| 0.072551
| 0.108827
| 0.820798
| 0.80266
| 0.758888
| 0.758888
| 0.758888
| 0.744377
| 0
| 0.045497
| 0.429822
| 9,483
| 189
| 119
| 50.174603
| 0.719253
| 0.004956
| 0
| 0.592105
| 0
| 0
| 0.022939
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.046053
| false
| 0.006579
| 0.006579
| 0
| 0.098684
| 0.013158
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 6
|
64740336ad6f45dd22e5fe579364989864bcaf20
| 93
|
py
|
Python
|
exception/permission_error_exception.py
|
tuannguyendang/montypython
|
c0b8ff7a8130e811ba16bfab8d5e013eac37f432
|
[
"Apache-2.0"
] | null | null | null |
exception/permission_error_exception.py
|
tuannguyendang/montypython
|
c0b8ff7a8130e811ba16bfab8d5e013eac37f432
|
[
"Apache-2.0"
] | null | null | null |
exception/permission_error_exception.py
|
tuannguyendang/montypython
|
c0b8ff7a8130e811ba16bfab8d5e013eac37f432
|
[
"Apache-2.0"
] | null | null | null |
from exception import AuthException
class PermissionErrorException(AuthException):
pass
| 18.6
| 46
| 0.83871
| 8
| 93
| 9.75
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.129032
| 93
| 5
| 47
| 18.6
| 0.962963
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.333333
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
|
0
| 6
|
6485bc3ef344210e550ea7911b6e5f55ee2de3a1
| 10,200
|
py
|
Python
|
src/FlaUILibrary/keywords/element.py
|
GDATASoftwareAG/robotframework-flaui
|
81b654be0c4bdd7a176c7186eff2757f7e5da72a
|
[
"MIT"
] | 22
|
2020-05-04T14:40:53.000Z
|
2022-03-24T05:57:00.000Z
|
src/FlaUILibrary/keywords/element.py
|
Fxztam/robotframework-flaui
|
81b654be0c4bdd7a176c7186eff2757f7e5da72a
|
[
"MIT"
] | 33
|
2020-07-27T12:47:33.000Z
|
2022-03-29T11:16:30.000Z
|
src/FlaUILibrary/keywords/element.py
|
Fxztam/robotframework-flaui
|
81b654be0c4bdd7a176c7186eff2757f7e5da72a
|
[
"MIT"
] | 4
|
2020-07-23T09:50:25.000Z
|
2022-01-18T10:32:55.000Z
|
from robotlibcore import keyword
from FlaUILibrary.flaui.module.element import Element
class ElementKeywords:
"""
Interface implementation from robotframework usage for element keywords.
"""
def __init__(self, module):
"""
Constructor for element keywords.
``module`` UIA3 module to handle element interaction.
"""
self._module = module
@keyword
def element_should_exist(self, identifier, msg=None):
"""
Checks if element exists. If element exists True will be returned otherwise False.
XPath syntax is explained in `XPath locator`.
If element could not be found by xpath an error message will be thrown.
Arguments:
| Argument | Type | Description |
| identifier | string | XPath identifier from element |
| msg | string | Custom error message |
Example:
| Element Should Exist <XPATH> |
"""
self._module.action(Element.Action.GET_ELEMENT,
Element.create_value_container(xpath=identifier, msg=msg),
msg)
@keyword
def element_should_not_exist(self, identifier, msg=None):
"""
Checks if element exists. If element exists False will be returned otherwise True.
XPath syntax is explained in `XPath locator`.
If element could not be found by xpath an error message will be thrown.
Arguments:
| Argument | Type | Description |
| identifier | string | XPath identifier from element |
| msg | string | Custom error message |
Example:
| Element Should Exist <XPATH> |
"""
self._module.action(Element.Action.ELEMENT_SHOULD_NOT_EXIST,
Element.create_value_container(xpath=identifier, msg=msg),
msg)
@keyword
def focus(self, identifier, msg=None):
"""
Try to focus element by given xpath.
XPath syntax is explained in `XPath locator`.
Arguments:
| Argument | Type | Description |
| identifier | string | XPath identifier from element |
| msg | string | Custom error message |
Example:
| Focus <XPATH> |
"""
self._module.action(Element.Action.FOCUS_ELEMENT,
Element.create_value_container(xpath=identifier, msg=msg),
msg)
@keyword
def get_name_from_element(self, identifier, msg=None):
"""
Return name value from element.
XPath syntax is explained in `XPath locator`.
If element could not be found by xpath an error message will be thrown.
Arguments:
| Argument | Type | Description |
| identifier | string | XPath identifier from element |
| msg | string | Custom error message |
Examples:
| ${NAME} Get Name From Element <XPATH> |
Returns:
| Name from element if set otherwise empty string |
"""
return self._module.action(Element.Action.GET_ELEMENT_NAME,
Element.create_value_container(xpath=identifier, msg=msg),
msg)
@keyword
def name_should_be(self, name, identifier, msg=None):
"""
Verifies if name from element is equal.
Arguments:
| Argument | Type | Description |
| name | string | Name to compare |
| identifier | string | XPath identifier from element |
| msg | string | Custom error message |
Example:
| Name Should Be <NAME> <XPATH> |
"""
self._module.action(Element.Action.NAME_SHOULD_BE,
Element.create_value_container(xpath=identifier, name=name, msg=msg),
msg)
@keyword
def name_contains_text(self, name, identifier, msg=None):
"""
Verifies if element name contains to name.
Arguments:
| Argument | Type | Description |
| name | string | Name to compare |
| identifier | string | XPath identifier from element |
| msg | string | Custom error message |
Example:
| Name Contains Text <NAME> <XPATH> |
"""
self._module.action(Element.Action.NAME_SHOULD_CONTAINS,
Element.create_value_container(xpath=identifier, name=name, msg=msg),
msg)
@keyword
def is_element_enabled(self, identifier, msg=None):
"""
Verifies if element is enabled (true) or not (false).
XPath syntax is explained in `XPath locator`.
If element could not be found by xpath an error message will be thrown.
Arguments:
| Argument | Type | Description |
| identifier | string | XPath identifier from element |
| msg | string | Custom error message |
Example:
| ${IS_ENABLED} = Is Item Enabled <XPATH> |
Returns:
| <True> if element is enabled otherwise <False> |
"""
return self._module.action(Element.Action.IS_ELEMENT_ENABLED,
Element.create_value_container(xpath=identifier, msg=msg),
msg)
@keyword
def is_element_visible(self, identifier, msg=None):
"""
Checks if element is visible (true) or not (false).
XPath syntax is explained in `XPath locator`.
If element could not be found by xpath an error message will be thrown.
Arguments:
| Argument | Type | Description |
| identifier | string | XPath identifier from element |
| msg | string | Custom error message |
Example:
| ${IS_VISIBLE} Is Element Visible <XPATH> |
"""
return not self._module.action(Element.Action.IS_ELEMENT_VISIBLE,
Element.create_value_container(xpath=identifier, msg=msg),
msg)
@keyword
def element_should_be_visible(self, identifier, msg=None):
"""
Checks if element is visible.
XPath syntax is explained in `XPath locator`.
If element could not be found by xpath an error message will be thrown.
Arguments:
| Argument | Type | Description |
| identifier | string | XPath identifier from element |
| msg | string | Custom error message |
Example:
| Element Should Be Visible <XPATH> |
"""
self._module.action(Element.Action.ELEMENT_SHOULD_BE_VISIBLE,
Element.create_value_container(xpath=identifier, msg=msg),
msg)
@keyword
def element_should_not_be_visible(self, identifier, msg=None):
"""
Checks if element is visible.
XPath syntax is explained in `XPath locator`.
If element could not be found by xpath an error message will be thrown.
Arguments:
| Argument | Type | Description |
| identifier | string | XPath identifier from element |
| msg | string | Custom error message |
Example:
| Element Should Not Be Visible <XPATH> |
"""
self._module.action(Element.Action.ELEMENT_SHOULD_NOT_BE_VISIBLE,
Element.create_value_container(xpath=identifier, msg=msg),
msg)
@keyword
def wait_until_element_is_hidden(self, identifier, retries=10, msg=None):
"""
Waits until element is hidden or timeout was reached. If timeout was reached an FlaUIError occurred.
Checks if element exists before Wait Until Element Is Hidden is called.
XPath syntax is explained in `XPath locator`.
Arguments:
| Argument | Type | Description |
| identifier | string | XPath identifier from element |
| retries | number | Maximum amount of retries per seconds to wait. By default 10 retries. |
| msg | string | Custom error message |
Example:
| Wait Until Element Is Hidden <XPATH> <RETRIES=10> |
| Wait Until Element Is Hidden <XPATH> <RETRIES=10> <MSG> |
"""
self.element_should_exist(identifier, msg)
self._module.action(Element.Action.WAIT_UNTIL_ELEMENT_IS_HIDDEN,
Element.create_value_container(xpath=identifier, retries=retries),
msg)
@keyword
def wait_until_element_is_visible(self, identifier, retries=10, msg=None):
"""
Waits until element is visible or timeout was reached. If timeout was reached an FlaUIError occurred.
XPath syntax is explained in `XPath locator`.
Arguments:
| Argument | Type | Description |
| identifier | string | XPath identifier from element |
| retries | number | Maximum amount of retries per seconds to wait. By default 10 retries. |
| msg | string | Custom error message |
Example:
| Wait Until Element Is VISIBLE <XPATH> <RETRIES=10> |
| Wait Until Element Is VISIBLE <XPATH> <RETRIES=10> <MSG> |
"""
self._module.action(Element.Action.WAIT_UNTIL_ELEMENT_IS_VISIBLE,
Element.create_value_container(xpath=identifier, retries=retries),
msg)
| 36.55914
| 109
| 0.548235
| 1,006
| 10,200
| 5.45328
| 0.101392
| 0.065622
| 0.045935
| 0.069996
| 0.842326
| 0.832665
| 0.815348
| 0.768137
| 0.746628
| 0.704156
| 0
| 0.002696
| 0.381863
| 10,200
| 278
| 110
| 36.690647
| 0.867407
| 0.536471
| 0
| 0.545455
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.19697
| false
| 0
| 0.030303
| 0
| 0.287879
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 6
|
649c6459f9116cf1b38b238212567379fbe1551d
| 32
|
py
|
Python
|
mbench/intervention/__init__.py
|
sepmein/mBench
|
5f2d7115ac8178ca0e076cfceebc75fa8d46127d
|
[
"BSD-3-Clause"
] | 1
|
2022-03-21T14:18:11.000Z
|
2022-03-21T14:18:11.000Z
|
mbench/intervention/__init__.py
|
sepmein/mBench
|
5f2d7115ac8178ca0e076cfceebc75fa8d46127d
|
[
"BSD-3-Clause"
] | 6
|
2022-03-04T11:37:52.000Z
|
2022-03-31T19:13:43.000Z
|
mbench/intervention/__init__.py
|
sepmein/mBench
|
5f2d7115ac8178ca0e076cfceebc75fa8d46127d
|
[
"BSD-3-Clause"
] | null | null | null |
from .efficacy import Converter
| 16
| 31
| 0.84375
| 4
| 32
| 6.75
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.125
| 32
| 1
| 32
| 32
| 0.964286
| 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
| 1
| 0
|
0
| 6
|
64b146e6a88ea6f15313739ced32ec8db1670295
| 12,933
|
py
|
Python
|
tests/test_mobile_client.py
|
danwagnerco/similarweb
|
3b87690869bedd695bfd95a58b67011ae9df897d
|
[
"MIT"
] | 38
|
2015-03-27T13:20:55.000Z
|
2022-03-21T14:05:27.000Z
|
tests/test_mobile_client.py
|
danwagnerco/similarweb
|
3b87690869bedd695bfd95a58b67011ae9df897d
|
[
"MIT"
] | 4
|
2015-02-11T15:33:23.000Z
|
2017-03-10T15:45:23.000Z
|
tests/test_mobile_client.py
|
danwagnerco/similarweb
|
3b87690869bedd695bfd95a58b67011ae9df897d
|
[
"MIT"
] | 20
|
2015-03-27T13:25:06.000Z
|
2021-06-18T09:25:07.000Z
|
import json
import httpretty
import os
from similarweb import MobileClient
TD = os.path.dirname(os.path.realpath(__file__))
def test_mobile_client_has_user_key():
client = MobileClient("test_key")
assert client.user_key == "test_key"
def test_mobile_client_has_base_url():
client = MobileClient("test_key")
assert client.base_url == "https://api.similarweb.com/Mobile/{0}/{1}/"
def test_mobile_client_has_empty_full_url():
client = MobileClient("test_key")
assert client.full_url == ""
@httpretty.activate
def test_mobile_client_app_details_completes_full_url():
target_url = ("https://api.similarweb.com/Mobile/0/"
"com.yahoo.mobile.client.android.mail/v1/GetAppDetails"
"?UserKey=test_key")
f = "{0}/fixtures/mobile_client_app_details_good_response.json".format(TD)
with open(f) as data_file:
stringified = json.dumps(json.load(data_file))
httpretty.register_uri(httpretty.GET, target_url, body=stringified)
client = MobileClient("test_key")
client.app_details("com.yahoo.mobile.client.android.mail", "google")
assert client.full_url == target_url
def test_mobile_client_app_details_response_from_bad_store():
expected = {"Error": "App store must be 'apple' or 'google'"}
client = MobileClient("test_key")
result = client.app_details("com.yahoo.mobile.client.android.mail", "shrimp")
assert result == expected
@httpretty.activate
def test_mobile_client_app_details_response_from_invalid_api_key():
expected = {"Error": "user_key_invalid"}
target_url = ("https://api.similarweb.com/Mobile/0/"
"com.yahoo.mobile.client.android.mail/v1/GetAppDetails"
"?UserKey=invalid_key")
f = "{0}/fixtures/mobile_client_app_details_invalid_api_key_response.json".format(TD)
with open(f) as data_file:
stringified = json.dumps(json.load(data_file))
httpretty.register_uri(httpretty.GET, target_url, body=stringified)
client = MobileClient("invalid_key")
result = client.app_details("com.yahoo.mobile.client.android.mail",
"google")
assert result == expected
@httpretty.activate
def test_mobile_client_app_details_response_from_malformed_app_id():
expected = {"Title": None,
"Cover": None,
"Author": None,
"Price": None,
"MainCategory": None,
"MainCategoryId": None,
"Rating": 0}
target_url = ("https://api.similarweb.com/Mobile/0/"
"com.bad_app_id/v1/GetAppDetails?UserKey=invalid_key")
f = "{0}/fixtures/mobile_client_app_details_malformed_app_id_response.json".format(TD)
with open(f) as data_file:
stringified = json.dumps(json.load(data_file))
httpretty.register_uri(httpretty.GET, target_url, body=stringified)
client = MobileClient("test_key")
result = client.app_details("com.bad_app_id",
"google")
assert result == expected
@httpretty.activate
def test_mobile_client_app_details_response_from_oddly_nil_response():
expected = {"Title": None,
"Cover": None,
"Author": None,
"Price": None,
"MainCategory": None,
"MainCategoryId": None,
"Rating": 0}
target_url = ("https://api.similarweb.com/Mobile/1/"
"com.clickgamer.angrybirds/v1/"
"GetAppDetails?UserKey=invalid_key")
f = "{0}/fixtures/mobile_client_app_details_oddly_nil_response.json".format(TD)
with open(f) as data_file:
stringified = json.dumps(json.load(data_file))
httpretty.register_uri(httpretty.GET, target_url, body=stringified)
client = MobileClient("test_key")
result = client.app_details("com.clickgamer.angrybirds",
"apple")
assert result == expected
@httpretty.activate
def test_mobile_client_app_details_response_from_empty_response():
expected = {"Error": "Unknown Error"}
target_url = ("https://api.similarweb.com/Mobile/1/"
"com.cnn.cnnmoney/v1/GetAppDetails?UserKey=test_key")
f = "{0}/fixtures/mobile_client_app_details_empty_response.json".format(TD)
with open(f) as data_file:
stringified = json.dumps(json.load(data_file))
httpretty.register_uri(httpretty.GET, target_url, body=stringified)
client = MobileClient("test_key")
result = client.app_details("com.cnn.cnnmoney",
"apple")
assert result == expected
@httpretty.activate
def test_mobile_client_app_details_response_from_good_inputs():
expected = {"Title": "Yahoo Mail",
"Cover": "http://www.shrimp.com",
"Author": "Yahoo",
"Price": "Free",
"MainCategory": "Communication",
"MainCategoryId": "communication",
"Rating": 4.186773300170898}
target_url = ("https://api.similarweb.com/Mobile/0/"
"com.yahoo.mobile.client.android.mail/v1/"
"GetAppDetails?UserKey=test_key")
f = "{0}/fixtures/mobile_client_app_details_good_response.json".format(TD)
with open(f) as data_file:
stringified = json.dumps(json.load(data_file))
httpretty.register_uri(httpretty.GET, target_url, body=stringified)
client = MobileClient("test_key")
result = client.app_details("com.yahoo.mobile.client.android.mail",
"google")
assert result == expected
@httpretty.activate
def test_mobile_client_google_app_installs_completes_full_url():
target_url = ("https://api.similarweb.com/Mobile/0/"
"com.yahoo.mobile.client.android.mail/v1/GetAppInstalls"
"?UserKey=test_key")
f = "{0}/fixtures/mobile_client_google_app_installs_good_response.json".format(TD)
with open(f) as data_file:
stringified = json.dumps(json.load(data_file))
httpretty.register_uri(httpretty.GET, target_url, body=stringified)
client = MobileClient("test_key")
client.google_app_installs("com.yahoo.mobile.client.android.mail")
assert client.full_url == target_url
@httpretty.activate
def test_mobile_client_google_app_installs_response_from_invalid_api_key():
expected = {"Error": "user_key_invalid"}
target_url = ("https://api.similarweb.com/Mobile/0/"
"com.yahoo.mobile.client.android.mail/v1/GetAppInstalls"
"?UserKey=invalid_key")
f = "{0}/fixtures/mobile_client_google_app_installs_invalid_api_key_response.json".format(TD)
with open(f) as data_file:
stringified = json.dumps(json.load(data_file))
httpretty.register_uri(httpretty.GET, target_url, body=stringified)
client = MobileClient("invalid_key")
result = client.google_app_installs("com.yahoo.mobile.client.android.mail")
assert result == expected
@httpretty.activate
def test_mobile_client_google_app_installs_response_oddly_nil_response():
expected = {"InstallsMin": 0,
"InstallsMax": 0}
target_url = ("https://api.similarweb.com/Mobile/0/"
"com.clickgamer.angrybirds/v1/"
"GetAppInstalls?UserKey=test_key")
f = "{0}/fixtures/mobile_client_google_app_installs_oddly_nil_response.json".format(TD)
with open(f) as data_file:
stringified = json.dumps(json.load(data_file))
httpretty.register_uri(httpretty.GET, target_url, body=stringified)
client = MobileClient("test_key")
result = client.google_app_installs("com.clickgamer.angrybirds")
assert result == expected
@httpretty.activate
def test_mobile_client_google_app_installs_response_from_empty_response():
expected = {"Error": "Unknown Error"}
target_url = ("https://api.similarweb.com/Mobile/0/"
"com.cnn.cnnmoney/v1/GetAppInstalls?UserKey=test_key")
f = "{0}/fixtures/mobile_client_google_app_installs_empty_response.json".format(TD)
with open(f) as data_file:
stringified = json.dumps(json.load(data_file))
httpretty.register_uri(httpretty.GET, target_url, body=stringified)
client = MobileClient("test_key")
result = client.google_app_installs("com.cnn.cnnmoney")
assert result == expected
def test_mobile_client_site_related_apps_response_from_bad_store():
expected = {"Error": "App store must be 'apple' or 'google'"}
client = MobileClient("test_key")
result = client.site_related_apps("google.com", "shrimp")
assert result == expected
@httpretty.activate
def test_mobile_client_site_related_apps_completes_full_url():
target_url = ("https://api.similarweb.com/Mobile/0/"
"google.com/v1/GetRelatedSiteApps?UserKey=test_key")
f = "{0}/fixtures/mobile_client_site_related_apps_good_response.json".format(TD)
with open(f) as data_file:
stringified = json.dumps(json.load(data_file))
print(stringified)
httpretty.register_uri(httpretty.GET, target_url, body=stringified)
client = MobileClient("test_key")
client.site_related_apps("google.com", "google")
assert client.full_url == target_url
@httpretty.activate
def test_mobile_client_site_related_apps_response_from_invalid_api_key():
expected = {"Error": "user_key_invalid"}
target_url = ("https://api.similarweb.com/Mobile/0/"
"google.com/v1/GetRelatedSiteApps?UserKey=invalid_key")
f = "{0}/fixtures/mobile_client_site_related_apps_invalid_api_key_response.json".format(TD)
with open(f) as data_file:
stringified = json.dumps(json.load(data_file))
httpretty.register_uri(httpretty.GET, target_url, body=stringified)
client = MobileClient("invalid_key")
result = client.site_related_apps("google.com", "google")
assert result == expected
@httpretty.activate
def test_mobile_client_site_related_apps_response_from_malformed_url():
expected = {"Error": "Malformed or Unknown URL"}
target_url = ("https://api.similarweb.com/Mobile/1/"
"bad_url/v1/GetRelatedSiteApps?UserKey=test_key")
f = "{0}/fixtures/mobile_client_site_related_apps_url_malformed_response.json".format(TD)
with open(f) as data_file:
stringified = json.dumps(json.load(data_file))
httpretty.register_uri(httpretty.GET, target_url, body=stringified)
client = MobileClient("test_key")
result = client.site_related_apps("bad_url", "apple")
assert result == expected
@httpretty.activate
def test_mobile_client_site_related_apps_response_from_empty_response():
expected = {"Error": "Unknown Error"}
target_url = ("https://api.similarweb.com/Mobile/1/"
"apple.com/v1/GetRelatedSiteApps?UserKey=test_key")
f = "{0}/fixtures/mobile_client_site_related_apps_empty_response.json".format(TD)
with open(f) as data_file:
stringified = json.dumps(json.load(data_file))
httpretty.register_uri(httpretty.GET, target_url, body=stringified)
client = MobileClient("test_key")
result = client.site_related_apps("apple.com", "apple")
assert result == expected
@httpretty.activate
def test_mobile_client_site_related_apps_response_from_good_inputs_google():
expected = {"com.google.android.youtube": "YouTube",
"com.google.android.apps.maps": "Maps",
"com.google.android.gms": "Google Play services"}
target_url = ("https://api.similarweb.com/Mobile/0/"
"google.com/v1/GetRelatedSiteApps?UserKey=test_key")
f = "{0}/fixtures/mobile_client_site_related_apps_good_response.json".format(TD)
with open(f) as data_file:
stringified = json.dumps(json.load(data_file))
httpretty.register_uri(httpretty.GET, target_url, body=stringified)
client = MobileClient("test_key")
result = client.site_related_apps("google.com", "google")
assert result == expected
@httpretty.activate
def test_mobile_client_site_related_apps_response_from_good_inputs_apple():
expected = {"284417350": "Remote",
"364709193": "iBooks",
"376101648": "Find My iPhone"}
target_url = ("https://api.similarweb.com/Mobile/1/"
"apple.com/v1/GetRelatedSiteApps?UserKey=test_key")
f = "{0}/fixtures/mobile_client_site_related_apps_good_apple_response.json".format(TD)
with open(f) as data_file:
stringified = json.dumps(json.load(data_file))
httpretty.register_uri(httpretty.GET, target_url, body=stringified)
client = MobileClient("test_key")
result = client.site_related_apps("apple.com", "apple")
assert result == expected
| 41.187898
| 97
| 0.676332
| 1,563
| 12,933
| 5.309021
| 0.072937
| 0.069414
| 0.032899
| 0.048084
| 0.903591
| 0.895638
| 0.891179
| 0.874789
| 0.855628
| 0.840323
| 0
| 0.009445
| 0.205907
| 12,933
| 313
| 98
| 41.319489
| 0.798539
| 0
| 0
| 0.682731
| 0
| 0
| 0.29949
| 0.1736
| 0
| 0
| 0
| 0
| 0.084337
| 1
| 0.084337
| false
| 0
| 0.016064
| 0
| 0.100402
| 0.004016
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 6
|
64b91ce535faf38acccf9c3c5dcb4b1f4ddec5c4
| 200
|
py
|
Python
|
bin/Old/test.py
|
echaussidon/LSS
|
205ce48a288acacbd41358e6d0215f4aff355049
|
[
"BSD-3-Clause"
] | 8
|
2017-04-12T14:52:26.000Z
|
2022-01-04T08:54:18.000Z
|
bin/Old/test.py
|
echaussidon/LSS
|
205ce48a288acacbd41358e6d0215f4aff355049
|
[
"BSD-3-Clause"
] | 13
|
2017-10-26T22:06:24.000Z
|
2022-03-31T15:29:06.000Z
|
bin/Old/test.py
|
echaussidon/LSS
|
205ce48a288acacbd41358e6d0215f4aff355049
|
[
"BSD-3-Clause"
] | 13
|
2015-10-26T17:30:10.000Z
|
2022-02-22T09:24:38.000Z
|
#just test loading modules etc.
import sys
#sys.path.append('../py')
import LSS.mkCat_singletile.cattools as ct
import LSS.mkCat_singletile.fa4lsscat as fa
import LSS.mkCat_singletile.xitools as xt
| 22.222222
| 43
| 0.8
| 32
| 200
| 4.90625
| 0.625
| 0.171975
| 0.267516
| 0.458599
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.005618
| 0.11
| 200
| 8
| 44
| 25
| 0.876404
| 0.27
| 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
| 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
| 6
|
373f0a40761f432284adf657c1f861e8669c3506
| 12,289
|
py
|
Python
|
Packs/CybleThreatIntel/Integrations/CybleThreatIntel/CybleThreatIntel_test.py
|
mazmat-panw/content
|
024a65c1dea2548e2637a9cbbe54966e9e34a722
|
[
"MIT"
] | 2
|
2021-12-06T21:38:24.000Z
|
2022-01-13T08:23:36.000Z
|
Packs/CybleThreatIntel/Integrations/CybleThreatIntel/CybleThreatIntel_test.py
|
mazmat-panw/content
|
024a65c1dea2548e2637a9cbbe54966e9e34a722
|
[
"MIT"
] | 87
|
2022-02-23T12:10:53.000Z
|
2022-03-31T11:29:05.000Z
|
Packs/CybleThreatIntel/Integrations/CybleThreatIntel/CybleThreatIntel_test.py
|
henry-sue-pa/content
|
043c6badfb4f9c80673cad9242fdea72efe301f7
|
[
"MIT"
] | 2
|
2022-01-05T15:27:01.000Z
|
2022-02-01T19:27:43.000Z
|
from datetime import datetime, timedelta
import json
import pytest
def load_json_file(filename):
"""
Loads the json content and return the json object
:param filename:
:return:
"""
content = None
with open("test_data/{0}".format(filename), 'r') as f:
content = json.load(f)
return content
def test_module(requests_mock):
"""
Test the basic test command for Cyble Threat Intel
:return:
"""
from CybleThreatIntel import Client, get_test_response
mock_response = load_json_file("cyble_threat_intel.json")
requests_mock.post('https://test.com/taxii/stix-data/v21/get', json=mock_response)
args = {
'token': 'some_random_token',
"page": 1,
"limit": 1,
"start_date": "2022-02-22",
"end_date": "2022-02-22",
"start_time": "00:00:00",
"end_time": "00:00:00",
}
client = Client(
base_url='https://test.com',
verify=False
)
response = get_test_response(client=client, method='POST', params=args)
assert isinstance(response, str)
assert response == 'ok'
def test_response_failure(requests_mock):
"""
Test the basic test-module command in case of a failure.
"""
from CybleThreatIntel import Client, get_test_response
mock_response = load_json_file("cyble_threat_intel.json")
requests_mock.post('https://test.com/taxii/stix-data/v21/get', json=mock_response)
args = {
"page": 1,
"limit": 1,
"start_date": "2022-02-22",
"end_date": "2022-02-22",
"start_time": "00:00:00",
"end_time": "00:00:00",
}
client = Client(
base_url='https://test.com',
verify=False
)
response = get_test_response(client=client, method='POST', params=args)
assert isinstance(response, str)
assert response == 'Access token missing.'
def test_module_failure(requests_mock):
"""
Test the basic test-module command in case of a failure.
"""
from CybleThreatIntel import Client, get_test_response
requests_mock.post('https://test.com/taxii/stix-data/v21/get', json={})
args = {
'token': 'some_random_token',
"page": 1,
"limit": 1,
"start_date": "2022-02-22",
"end_date": "2022-02-22",
"start_time": "00:00:00",
"end_time": "00:00:00",
}
client = Client(
base_url='https://test.com',
verify=False
)
response = get_test_response(client=client, method='POST', params=args)
assert isinstance(response, str)
assert response == 'Failed to fetch feed!!'
@pytest.mark.parametrize(
"page,limit", [
(1, 1), (3, 5), (5, 15), (7, 7), (9, 20)
]
)
def test_cyble_vision_fetch_taxii(requests_mock, page, limit):
"""
Tests the cyble_vision_fetch_taxii command
Configures requests_mock instance to generate the appropriate cyble_vision_fetch_taxii
API response when the correct cyble_vision_fetch_taxii API request is performed. Checks
the output of the command function with the expected output.
Uses
:param requests_mock:
:return:
"""
from CybleThreatIntel import Client, cyble_fetch_taxii
mock_response = load_json_file("cyble_threat_intel.json")
requests_mock.post('https://test.com/taxii/stix-data/v21/get', json=mock_response)
client = Client(
base_url='https://test.com',
verify=False
)
args = {
'token': 'some_random_token',
"page": page,
"limit": limit,
"start_date": "2022-02-22",
"end_date": "2022-02-22",
"start_time": "00:00:00",
"end_time": "00:00:00",
}
response = cyble_fetch_taxii(client=client, method='POST', args=args).outputs
# assert the response object
# check if the response object is a dict
assert isinstance(response, dict)
# each result entry is a list
assert isinstance(response['result'], list)
# check if the result entry is a dict
assert isinstance(response['result'][0], dict)
# assert the entries for indicator key
assert isinstance(response['result'][0]['indicator'], dict)
assert response['result'][0]['indicator']['type'] == 'some_type'
assert response['result'][0]['indicator']['spec_version'] == 'some_spec_version'
assert response['result'][0]['indicator']['id'] == 'some_id'
assert response['result'][0]['indicator']['created'] == '2022-02-04T22:54:38Z'
assert response['result'][0]['indicator']['modified'] == '2022-02-04T22:54:38Z'
assert response['result'][0]['indicator']['description'] == ''
assert response['result'][0]['indicator']['indicator_types'] == 'some_indicator_type'
assert response['result'][0]['indicator']['pattern'] == 'some_pattern'
assert response['result'][0]['indicator']['pattern_type'] == 'some_pattern_type'
def test_failure_cyble_vision_fetch_taxii(requests_mock):
"""
Tests the cyble_vision_fetch_taxii command failure case
Configures requests_mock instance to generate the appropriate cyble_vision_fetch_taxii
API response when the correct cyble_vision_fetch_taxii API request is performed. Checks
the output of the command function with the expected output.
Uses
:param requests_mock:
:return:
"""
from CybleThreatIntel import Client, cyble_fetch_taxii
requests_mock.post('https://test.com/taxii/stix-data/v21/get', json={})
client = Client(
base_url='https://test.com',
verify=False
)
args = {
'token': 'some_random_token',
"page": 1,
"limit": 1,
"start_date": "2022-02-22",
"end_date": "2022-02-22",
"start_time": "00:00:00",
"end_time": "00:00:00",
}
response = cyble_fetch_taxii(client=client, method='POST', args=args).outputs
# assert the response object
# check if the response object is a dict
assert isinstance(response, dict)
# each result entry is a list
assert response == {}
def test_failure_fetch_taxii(requests_mock):
"""
Tests the cyble_fetch_taxii command failure case
Configures requests_mock instance to generate the appropriate cyble_vision_fetch_taxii
API response when the correct cyble_vision_fetch_taxii API request is performed. Checks
the output of the command function with the expected output.
Uses
:param requests_mock:
:return:
"""
from CybleThreatIntel import Client, cyble_fetch_taxii
mock_response = load_json_file("cyble_threat_intel.json")
requests_mock.post('https://test.com/taxii/stix-data/v21/get', json=mock_response)
client = Client(
base_url='https://test.com',
verify=False
)
args = {
"page": 1,
"limit": 1,
"start_date": "2022-02-22",
"end_date": "2022-02-22"
}
response = cyble_fetch_taxii(client=client, method='POST', args=args).outputs
# assert the response object
# check if the response object is a dict
assert isinstance(response, dict)
# each result entry is a list
assert response['error'] == 'Invalid Token!!'
def test_fail_fetch_taxii(requests_mock):
"""
Tests the cyble_fetch_taxii command failure case
Configures requests_mock instance to generate the appropriate cyble_vision_fetch_taxii
API response when the correct cyble_vision_fetch_taxii API request is performed. Checks
the output of the command function with the expected output.
Uses
:param requests_mock:
:return:
"""
from CybleThreatIntel import Client, cyble_fetch_taxii
requests_mock.post('https://test.com/taxii/stix-data/v21/get', json={})
client = Client(
base_url='https://test.com',
verify=False
)
response = cyble_fetch_taxii(client=client, method='POST', args={}).outputs
# assert the response object
# check if the response object is a dict
assert isinstance(response, dict)
# each result entry is a list
assert response['error'] == 'Invalid Token!!'
def test_failure_cyble_fetch_taxii(requests_mock):
"""
Tests the cyble_vision_fetch_taxii command failure case
Configures requests_mock instance to generate the appropriate cyble_vision_fetch_taxii
API response when the correct cyble_vision_fetch_taxii API request is performed. Checks
the output of the command function with the expected output.
Uses
:param requests_mock:
:return:
"""
from CybleThreatIntel import Client, cyble_fetch_taxii
requests_mock.post('https://test.com/taxii/stix-data/v21/get', json={})
client = Client(
base_url='https://test.com',
verify=False
)
response = cyble_fetch_taxii(client=client, method='POST', args={}).outputs
# assert the response object
# check if the response object is a dict
assert isinstance(response, dict)
# each result entry is a list
assert response['error'] == 'Invalid Token!!'
def test_page_validate_input(capfd):
from CybleThreatIntel import validate_input
args = {
'start_date': datetime.today().strftime('%Y-%m-%d'),
'end_date': datetime.today().strftime('%Y-%m-%d'),
'page': '-1',
'limit': '1',
}
with capfd.disabled():
with pytest.raises(ValueError, match=f"Parameter should be positive number, page: {args.get('page')}"):
validate_input(args=args)
def test_limit_validate_input(capfd):
from CybleThreatIntel import validate_input
args = {
'start_date': datetime.today().strftime('%Y-%m-%d'),
'end_date': datetime.today().strftime('%Y-%m-%d'),
'page': '1',
'limit': '40',
}
with capfd.disabled():
with pytest.raises(ValueError, match=f"Limit should be positive number upto 20, limit: {args.get('limit', 0)}"):
validate_input(args=args)
def test_sdate_validate_input(capfd):
from CybleThreatIntel import validate_input
args = {
'start_date': (datetime.today() + timedelta(days=4)).strftime('%Y-%m-%d'),
'end_date': datetime.today().strftime('%Y-%m-%d'),
'page': '1',
'limit': '1'
}
with capfd.disabled():
with pytest.raises(ValueError,
match=f"Start date must be a date before or equal to {datetime.today().strftime('%Y-%m-%d')}"):
validate_input(args=args)
def test_edate_validate_input(capfd):
from CybleThreatIntel import validate_input
args = {
'start_date': datetime.today().strftime('%Y-%m-%d'),
'end_date': (datetime.today() + timedelta(days=4)).strftime('%Y-%m-%d'),
'page': '1',
'limit': '1'
}
with capfd.disabled():
with pytest.raises(ValueError,
match=f"End date must be a date before or equal to {datetime.today().strftime('%Y-%m-%d')}"):
validate_input(args=args)
def test_date_validate_input(capfd):
from CybleThreatIntel import validate_input
args = {
'start_date': datetime.today().strftime('%Y-%m-%d'),
'end_date': (datetime.today() - timedelta(days=4)).strftime('%Y-%m-%d'),
'page': '1',
'limit': '1'
}
with capfd.disabled():
with pytest.raises(ValueError,
match=f"Start date {args.get('start_date')} cannot be after end date {args.get('end_date')}"):
validate_input(args=args)
def test_idate_validate_input(capfd):
from CybleThreatIntel import validate_input
args = {
'start_date': '2001-18-12',
'end_date': datetime.today().strftime('%Y-%m-%d')
}
with capfd.disabled():
with pytest.raises(ValueError, match="Invalid date format received"):
validate_input(args=args)
def test_time_validate_input(capfd):
from CybleThreatIntel import validate_input
args = {
'start_date': datetime.today().strftime('%Y-%m-%d'),
'end_date': datetime.today().strftime('%Y-%m-%d'),
'page': '1',
'limit': '1',
'start_time': '12:34:23',
'end_time': '16:83:45'
}
with capfd.disabled():
with pytest.raises(ValueError, match="Invalid time format received"):
validate_input(args=args)
| 29.612048
| 122
| 0.641956
| 1,570
| 12,289
| 4.86242
| 0.109554
| 0.039298
| 0.025151
| 0.041263
| 0.885381
| 0.862588
| 0.813335
| 0.808619
| 0.804559
| 0.783731
| 0
| 0.028707
| 0.226137
| 12,289
| 414
| 123
| 29.683575
| 0.774027
| 0.196599
| 0
| 0.647059
| 0
| 0.012605
| 0.248201
| 0.022526
| 0
| 0
| 0
| 0
| 0.113445
| 1
| 0.067227
| false
| 0
| 0.07563
| 0
| 0.147059
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 6
|
3756955dd74fb0c35b9ab4c119a84e1c4dc450b3
| 210
|
py
|
Python
|
CommunicationServer/OnCommandListener.py
|
CryDeb/hslu_fs18_pren2_highlevel_python
|
7e6b4b7ba7fadf54b9e52e0f5f4bf357734dcfc0
|
[
"MIT"
] | 1
|
2019-12-05T13:10:47.000Z
|
2019-12-05T13:10:47.000Z
|
CommunicationServer/OnCommandListener.py
|
CryDeb/hslu_fs18_pren2_highlevel_python
|
7e6b4b7ba7fadf54b9e52e0f5f4bf357734dcfc0
|
[
"MIT"
] | null | null | null |
CommunicationServer/OnCommandListener.py
|
CryDeb/hslu_fs18_pren2_highlevel_python
|
7e6b4b7ba7fadf54b9e52e0f5f4bf357734dcfc0
|
[
"MIT"
] | null | null | null |
from abc import ABCMeta, abstractmethod
class OnCommandListener:
__metaclass__ = ABCMeta
@abstractmethod
def on_start_command(self): pass
@abstractmethod
def on_stop_command(self): pass
| 17.5
| 39
| 0.747619
| 23
| 210
| 6.478261
| 0.652174
| 0.281879
| 0.255034
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.2
| 210
| 11
| 40
| 19.090909
| 0.886905
| 0
| 0
| 0.285714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.285714
| false
| 0.285714
| 0.142857
| 0
| 0.714286
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 6
|
37794fbdb17801016017d4b6f26d4f0ef7586ace
| 32
|
py
|
Python
|
fastpunct/__init__.py
|
notAI-tech/fastpunct
|
061eefe69eaad0ff60d96785fcbf0a518d7a83b8
|
[
"MIT"
] | 208
|
2020-04-16T09:18:24.000Z
|
2022-03-09T14:20:08.000Z
|
fastpunct/__init__.py
|
notAI-tech/fastpunct
|
061eefe69eaad0ff60d96785fcbf0a518d7a83b8
|
[
"MIT"
] | 25
|
2020-05-24T05:38:57.000Z
|
2021-10-10T10:45:43.000Z
|
fastpunct/__init__.py
|
notAI-tech/fastpunct
|
061eefe69eaad0ff60d96785fcbf0a518d7a83b8
|
[
"MIT"
] | 24
|
2020-05-31T02:22:08.000Z
|
2022-02-28T14:33:58.000Z
|
from .fastpunct import FastPunct
| 32
| 32
| 0.875
| 4
| 32
| 7
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.09375
| 32
| 1
| 32
| 32
| 0.965517
| 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
| 1
| 0
|
0
| 6
|
3783e005d0dd641c0ff6d48a9515da372ee27b81
| 13,445
|
py
|
Python
|
qddate/patterns/base.py
|
ivbeg/qddate
|
f7730610611f2509ab264bc8d77a902742daf08c
|
[
"BSD-3-Clause"
] | 11
|
2018-01-15T08:54:33.000Z
|
2022-01-25T09:08:48.000Z
|
qddate/patterns/base.py
|
ivbeg/qddate
|
f7730610611f2509ab264bc8d77a902742daf08c
|
[
"BSD-3-Clause"
] | null | null | null |
qddate/patterns/base.py
|
ivbeg/qddate
|
f7730610611f2509ab264bc8d77a902742daf08c
|
[
"BSD-3-Clause"
] | 2
|
2018-01-14T10:25:55.000Z
|
2018-03-09T13:27:49.000Z
|
# -*- coding: utf-8 -*-
from pyparsing import Word, nums, alphas, oneOf, lineStart, lineEnd, Optional, restOfLine, Literal, ParseException, CaselessLiteral
EN_NUMERIC_SUFFIXES = ['nd', 'rd', 'th', 'st']
PAT_EN_DAY_NUMERIC = Word(nums, min=1, max=2).setResultsName('day') + oneOf(EN_NUMERIC_SUFFIXES).suppress()
BASE_DATE_PATTERNS = {
'pat:date:d.m' : Word(nums, exact=2) + Literal('.').suppress() + Word(nums, exact=2),
'pat:date:d/m/yyyy': Word(nums, min=1, max=2).setResultsName('day') + Literal('/').suppress() + Word(nums, min=1, max=2).setResultsName('month') + Literal('/').suppress() + Word(nums, exact=4).setResultsName('year'),
'pat:date:m/d/yy' : Word(nums, min=1, max=2).setResultsName('month') + Literal('/').suppress() + Word(nums, min=1, max=2).setResultsName('day') + Literal('/').suppress() + Word(nums, exact=2).setResultsName('year'),
'pat:date:d/m/yy' : Word(nums, min=1, max=2).setResultsName('day') + Literal('/').suppress() + Word(nums, min=1, max=2).setResultsName('month') + Literal('/').suppress() + Word(nums, exact=2).setResultsName('year'),
'pat:date:d.m.yyyy': Word(nums, min=1, max=2).setResultsName('day') + Literal('.').suppress() + Word(nums, min=1, max=2).setResultsName('month') + Literal('.').suppress() + Word(nums, exact=4).setResultsName('year'),
'pat:date:yyyy/m/d': Word(nums, exact=4).setResultsName('year') + '/' + Word(nums, min=1, max=2).setResultsName('month') + '/' + Word(nums, min=1, max=2).setResultsName('day'),
'pat:date:d.m.yy' : Word(nums, min=1, max=2).setResultsName('day') + Literal('.').suppress() + Word(nums, min=1, max=2).setResultsName('month') + Literal('.').suppress() + Word(nums, exact=2).setResultsName('year'),
'pat:date:d-m-yy': Word(nums, min=1, max=2).setResultsName('day') + Literal('-').suppress() + Word(nums, min=1, max=2).setResultsName('month') + Literal('-').suppress() + Word(nums, exact=2).setResultsName('year'),
'pat:date:d-m-yyyy': Word(nums, min=1, max=2).setResultsName('day') + Literal('-').suppress() + Word(nums, min=1, max=2).setResultsName('month') + Literal('-').suppress() + Word(nums, exact=4).setResultsName('year'),
'pat:date:yyyy-m-d': Word(nums, exact=4).setResultsName('year') + Literal('-').suppress() + Word(nums, min=1, max=2).setResultsName('month') + Literal('-').suppress() + Word(nums, min=1, max=2).setResultsName('day'),
'pat:date:yyyy.m.d': Word(nums, exact=4).setResultsName('year') + Literal('.').suppress() + Word(nums, min=1, max=2).setResultsName('month') + Literal('.').suppress() + Word(nums, min=1, max=2).setResultsName('day'),
'pat:date:ddmmyyyy': Word(nums, exact=2).setResultsName('day') + Word(nums, exact=2).setResultsName('month') + Word(nums, exact=4).setResultsName('year'),
'pat:date:mmyyyy' : Word(nums, exact=2).setResultsName('month') + Word(nums, exact=4).setResultsName('year'),
'pat:date:yyyymmdd': Word(nums, exact=4).setResultsName('year') + Word(nums, exact=2).setResultsName('month') + Word(nums, exact=2).setResultsName('day'),
'pat:date:mm/dd/yyyy': Word(nums, min=1, max=2).setResultsName('month') + Literal('/').suppress() + Word(nums, min=1, max=2).setResultsName('day') + Literal('/').suppress() + Word(nums, exact=4).setResultsName('year'),
# Rare patterns
'pat:date:d/m yy': Word(nums, min=1, max=2).setResultsName('day') + Literal('/').suppress() + Word(nums, min=1, max=2).setResultsName('month') + Literal('‘').suppress() + Word(nums, exact=2).setResultsName('year'),
}
BASE_TIME_PATTERNS = {
'pat:time:minutes': Word(nums, exact=2).setResultsName('hour') + Literal(':').suppress() + Word(nums, exact=2).setResultsName('minute'),
'pat:time:full': Word(nums, exact=2).setResultsName('hour') + Literal(':').suppress() + Word(nums, exact=2).setResultsName('minute') + Literal(':').suppress() + Word(nums, exact=2).setResultsName('second'),
}
ENG_MONTHS = ['January', 'February', 'March', 'April', 'May', 'June', 'July', 'August', 'September', 'October', 'November', 'December']
ENG_MONTHS_LC = ['january', 'february', 'march', 'april', 'may', 'june', 'jule', 'august', 'september', 'october', 'november', 'december']
ENG_MONTHS_SHORT = ['jan', 'feb', 'mar', 'apr', 'may', 'jun', 'jul', 'aug', 'sep', 'oct', 'nov', 'dec']
ENG_WEEKDAYS = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Satuday', 'Sunday']
ENG_WEEKDAYS_SHORT = ['mon', 'tue', 'wed', 'thu', 'fri', 'sat', 'sun']
# English months map
en_mname2mon = dict((m,i+1) for i,m in enumerate(ENG_MONTHS) if m)
ensh_mname2mon = dict((m,i+1) for i,m in enumerate(ENG_MONTHS_SHORT) if m)
enlc_mname2mon = dict((m,i+1) for i,m in enumerate(ENG_MONTHS_LC) if m)
ensh_wday2weekday = dict((m,i+1) for i,m in enumerate(ENG_WEEKDAYS_SHORT) if m)
BASE_PATTERNS_EN = {
'pat:eng:months' : oneOf(ENG_MONTHS).setParseAction(lambda t: en_mname2mon[t[0]]),
'pat:eng:months:lc' : oneOf(ENG_MONTHS_LC).setParseAction(lambda t: enlc_mname2mon[t[0]]),
'pat:eng:months:short' : oneOf(ENG_MONTHS_SHORT, caseless=True).setParseAction(lambda t: ensh_mname2mon[t[0].lower()]),
'pat:eng:weekdays': oneOf(ENG_WEEKDAYS),
'pat:eng:weekdays:short': oneOf(ENG_WEEKDAYS_SHORT, caseless=True).setParseAction(lambda t: ensh_wday2weekday[t[0].lower()]),
}
PATTERNS_EN = [
# Universal patterns
{'key':'dt:date:date_1', 'name': 'Datetime string', 'pattern': BASE_DATE_PATTERNS['pat:date:d/m/yyyy'], 'length': {'min': 8, 'max': 10}, 'format': "%d/%m/%Y",},
{'key':'dt:date:date_2', 'name': 'Datetime string', 'pattern': BASE_DATE_PATTERNS['pat:date:d.m.yyyy'], 'length': {'min': 8, 'max': 10}, 'format': "%d.%m.%Y"},
{'key': 'dt:date:date_3', 'name': 'Datetime string', 'pattern': BASE_DATE_PATTERNS['pat:date:yyyy/m/d'], 'length': {'min': 8, 'max': 10}, 'format': "%Y/%m/%d"},
{'key': 'dt:date:date_4', 'name': 'Datetime string', 'pattern': BASE_DATE_PATTERNS['pat:date:d.m.yy'], 'length': {'min': 6, 'max': 8}, 'format': "%d.%m.%y", 'yearshort': True},
{'key': 'dt:date:date_iso8601', 'name': 'ISO 8601 date', 'pattern': BASE_DATE_PATTERNS['pat:date:d-m-yyyy'], 'length': {'min': 8, 'max': 10}, 'format': "%d-%m-%Y"},
{'key': 'dt:date:date_iso8601_short', 'name': 'ISO 8601 date shorted', 'pattern': BASE_DATE_PATTERNS['pat:date:d-m-yy'], 'length': {'min': 6, 'max': 8}, 'format': "%d-%m-%Y", 'yearshort': True},
{'key': 'dt:date:date_5', 'name': 'Datetime string as ddmmyyyy', 'pattern': BASE_DATE_PATTERNS['pat:date:ddmmyyyy'], 'length': {'min': 8, 'max': 8}, 'format': "%d%m%Y"},
{'key': 'dt:date:date_6', 'name': 'Datetime string as yyyymmdd', 'pattern': BASE_DATE_PATTERNS['pat:date:yyyymmdd'], 'length': {'min': 8, 'max': 8}, 'format': "%Y%m%d"},
{'key': 'dt:date:date_7', 'name': 'Year-month string', 'pattern': BASE_DATE_PATTERNS['pat:date:mmyyyy'], 'length': {'min': 6, 'max': 6}, 'format': "%m.%Y"},
{'key': 'dt:date:date_8', 'name': 'Date with 2-digits year', 'pattern': BASE_DATE_PATTERNS['pat:date:d/m/yy'], 'length': {'min': 6, 'max': 8}, 'format': "%d/%m/%y", 'yearshort': True},
{'key': 'dt:date:date_9', 'name': 'Date as ISO', 'pattern': BASE_DATE_PATTERNS['pat:date:yyyy-m-d'], 'length': {'min': 6, 'max': 10}, 'format': "%Y-%m-%d"},
{'key': 'dt:date:date_10', 'name': 'Date as yyyy.mm.dd', 'pattern': BASE_DATE_PATTERNS['pat:date:yyyy.m.d'], 'length': {'min': 6, 'max': 10}, 'format': "%Y.%m.%d"},
# USA patterns
{'key': 'dt:date:date_usa_1', 'name': 'Date with 2-digits year', 'pattern': BASE_DATE_PATTERNS['pat:date:m/d/yy'], 'length': {'min': 6, 'max': 8}, 'format': "%m/%d/%y", 'yearshort': True},
{'key': 'dt:date:date_usa', 'name': 'USA mm/dd/yyyy string', 'pattern': BASE_DATE_PATTERNS['pat:date:mm/dd/yyyy'], 'length': {'min': 8, 'max': 10}, 'format': "%m/%d/%Y"},
# English patterns
{'key': 'dt:date:date_eng1', 'name': 'Date with english month and possible dots',
'pattern': Word(nums, min=1, max=2).setResultsName('day') + Optional('.').suppress() + BASE_PATTERNS_EN[
'pat:eng:months'].setResultsName('month') + Optional('.').suppress() + Word(nums, exact=4).setResultsName(
'year'), 'length': {'min': 10, 'max': 20}, 'format': "%d.%b.%Y"},
{'key': 'dt:date:date_eng1x', 'name': 'Date with english month and , ',
'pattern': Word(nums, min=1, max=2).setResultsName('day') + BASE_PATTERNS_EN[
'pat:eng:months'].setResultsName('month') + Optional(',').suppress() + Word(nums, exact=4).setResultsName(
'year'), 'length': {'min': 10, 'max': 20}, 'format': "%d.%b.%Y"},
{'key': 'dt:date:date_eng1_lc', 'name': 'Date with english month lowcase',
'pattern': Word(nums, min=1, max=2).setResultsName('day') + Optional('.').suppress() + BASE_PATTERNS_EN[
'pat:eng:months:lc'].setResultsName('month') + Optional('.').suppress() + Word(nums, exact=4).setResultsName(
'year'), 'length': {'min': 10, 'max': 20}, 'format': "%d.%b.%Y"},
{'key': 'dt:date:date_eng1_short', 'name': 'Date with english month short',
'pattern': Word(nums, min=1, max=2).setResultsName('day') + Optional('.').suppress() + BASE_PATTERNS_EN[
'pat:eng:months:short'].setResultsName('month') + Optional('.').suppress() + Word(nums,
exact=4).setResultsName(
'year'), 'length': {'min': 10, 'max': 10}, 'format': "%d.%b.%Y"},
{'key': 'dt:date:date_eng2', 'name': 'Date with english month 2',
'pattern': BASE_PATTERNS_EN['pat:eng:months'].setResultsName('month') + Word(nums, min=1, max=2).setResultsName(
'day') + Optional(',').suppress() + Word(nums, exact=4).setResultsName('year'),
'length': {'min': 10, 'max': 20}, 'format': "%b %d, %Y"},
{'key': 'dt:date:date_eng2_lc', 'name': 'Date with english month 2 lowcase', 'pattern': BASE_PATTERNS_EN['pat:eng:months:lc'].setResultsName('month') + Word(nums, min=1, max=2).setResultsName('day') + Optional(',').suppress() + Word(nums, exact=4).setResultsName('year'), 'length': {'min': 10, 'max': 20}, 'format': "%b %d, %Y"},
{'key': 'dt:date:date_eng2_short', 'name': 'Date with english month 2 short', 'pattern': BASE_PATTERNS_EN['pat:eng:months:short'].setResultsName('month') + Word(nums, min=1, max=2).setResultsName('day') + Optional(',').suppress() + Word(nums, exact=4).setResultsName('year'), 'length': {'min': 10, 'max': 10}, 'format': "%b %d, %Y"},
{'key': 'dt:date:date_eng3', 'name': 'Date with english month full', 'pattern': BASE_PATTERNS_EN['pat:eng:months:lc'].setResultsName('month') + Word(nums, min=1, max=2).setResultsName('day') + Optional(',').suppress() + Word(nums, exact=4).setResultsName('year'), 'length': {'min': 10, 'max': 20}, 'format': "%b %d, %Y", 'filter': 2},
{'key': 'dt:date:noyear_1', 'name': 'Datetime string without year', 'pattern': BASE_DATE_PATTERNS['pat:date:d.m'], 'length': {'min': 5, 'max': 5}, 'format': "%d.%m", 'noyear': True},
{'key': 'dt:date:date_4_point', 'name': 'Datetime string', 'pattern': BASE_DATE_PATTERNS['pat:date:d.m.yy'] + Literal('.').suppress(), 'length': {'min': 6, 'max': 9}, 'format': "%d.%m.%y", 'yearshort': True },
{'key': 'dt:date:weekday_eng', 'name': 'Date with english month and weekday', 'pattern': BASE_PATTERNS_EN['pat:eng:weekdays'].suppress() + Optional(',').suppress() + Word(nums, min=1, max=2).setResultsName('day') + BASE_PATTERNS_EN['pat:eng:months'].setResultsName('month') + Optional(Literal(',')).suppress() + Word(nums, exact=4).setResultsName('year') , 'length': {'min': 17, 'max': 27}, 'format': "%d %m %Y", 'filter': 1},
{'key': 'dt:date:weekday_eng_lc', 'name': 'Date with english month and weekday', 'pattern': BASE_PATTERNS_EN['pat:eng:weekdays'].suppress() + Optional(',').suppress() + Word(nums, min=1, max=2).setResultsName('day') + BASE_PATTERNS_EN['pat:eng:months:lc'].setResultsName('month') + Optional(Literal(',')).suppress() + Word(nums, exact=4).setResultsName('year'), 'length': {'min': 17, 'max': 27}, 'format': "%d %m %Y", 'filter': 1},
{'key': 'dt:date:weekday_eng_wshort', 'name': 'Date with english month and weekday', 'pattern': BASE_PATTERNS_EN['pat:eng:weekdays:short'].suppress() + Optional(',').suppress() + Word(nums, min=1, max=2).setResultsName('day') + BASE_PATTERNS_EN['pat:eng:months'].setResultsName('month') + Optional(Literal(',')).suppress() + Word(nums, exact=4).setResultsName('year') , 'length': {'min': 16, 'max': 27}, 'format': "%d %m %Y", 'filter': 1},
{'key': 'dt:date:weekday_eng_mshort_wshort', 'name': 'Date with short english month and short weekday', 'pattern': BASE_PATTERNS_EN['pat:eng:weekdays:short'].suppress() + Word(nums, min=1, max=2).setResultsName('day') + BASE_PATTERNS_EN['pat:eng:months:short'].setResultsName('month') + Word(nums, exact=4).setResultsName('year') , 'length': {'min': 15, 'max': 15}, 'format': "%d %m %Y", 'filter': 1},
{'key': 'dt:date:weekday_eng_iso', 'name': 'Date with english weekday and iso date', 'pattern': BASE_PATTERNS_EN['pat:eng:weekdays'].suppress() + Optional(',').suppress() + BASE_DATE_PATTERNS['pat:date:d/m/yyyy'] , 'length': {'min': 13, 'max': 25}, 'format': "%d/%m/%Y", 'filter': 1},
{'key': 'dt:date:weekday_short_eng_iso', 'name': 'Date with english short weekday and iso date', 'pattern': BASE_PATTERNS_EN['pat:eng:weekdays:short'].suppress() + Optional(',').suppress() + BASE_DATE_PATTERNS['pat:date:d/m/yyyy'] , 'length': {'min': 13, 'max': 18}, 'format': "%d/%m/%Y", 'filter': 1},
]
| 114.91453
| 443
| 0.629676
| 1,894
| 13,445
| 4.3849
| 0.087645
| 0.074172
| 0.078989
| 0.053462
| 0.858158
| 0.839013
| 0.768453
| 0.722577
| 0.689585
| 0.672366
| 0
| 0.023162
| 0.116921
| 13,445
| 116
| 444
| 115.905172
| 0.676324
| 0.007661
| 0
| 0.067416
| 0
| 0
| 0.320609
| 0.021974
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.011236
| 0
| 0.011236
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
37874f78dbea0ddbafddfd483dab275b6759932d
| 405
|
py
|
Python
|
tests/unit/video/sources/test_ColorSource.py
|
DrakenZA/mugen
|
9f929b9713f3304a6ceb9980114365fcd5a2afa2
|
[
"MIT"
] | 1
|
2020-09-10T17:37:25.000Z
|
2020-09-10T17:37:25.000Z
|
tests/unit/video/sources/test_ColorSource.py
|
DrakenZA/mugen
|
9f929b9713f3304a6ceb9980114365fcd5a2afa2
|
[
"MIT"
] | null | null | null |
tests/unit/video/sources/test_ColorSource.py
|
DrakenZA/mugen
|
9f929b9713f3304a6ceb9980114365fcd5a2afa2
|
[
"MIT"
] | null | null | null |
import pytest
from mugen.video.sources import ColorSource
@pytest.fixture
def black_source() -> ColorSource:
return ColorSource('black')
@pytest.fixture
def white_source() -> ColorSource:
return ColorSource('white')
@pytest.fixture
def orange_source() -> ColorSource:
return ColorSource('#FFA500')
@pytest.fixture
def purple_source() -> ColorSource:
return ColorSource('#800080')
| 16.875
| 43
| 0.735802
| 44
| 405
| 6.681818
| 0.386364
| 0.176871
| 0.217687
| 0.462585
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.026012
| 0.145679
| 405
| 23
| 44
| 17.608696
| 0.823699
| 0
| 0
| 0.285714
| 0
| 0
| 0.059259
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.285714
| true
| 0
| 0.142857
| 0.285714
| 0.714286
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 1
| 0
|
0
| 6
|
8061972b487350efb18298bd8c0fa57d09eca937
| 91
|
py
|
Python
|
ls_axon_segmentation/transform/__init__.py
|
quantitative-mri-and-in-vivo-histology/ls_axon_segmentation
|
607f5945d6d958a73b80de7f7e9322baa2b58a89
|
[
"MIT"
] | null | null | null |
ls_axon_segmentation/transform/__init__.py
|
quantitative-mri-and-in-vivo-histology/ls_axon_segmentation
|
607f5945d6d958a73b80de7f7e9322baa2b58a89
|
[
"MIT"
] | null | null | null |
ls_axon_segmentation/transform/__init__.py
|
quantitative-mri-and-in-vivo-histology/ls_axon_segmentation
|
607f5945d6d958a73b80de7f7e9322baa2b58a89
|
[
"MIT"
] | null | null | null |
from .augmentation import *
from .preprocessing import *
from .stain_augmentation import *
| 22.75
| 33
| 0.802198
| 10
| 91
| 7.2
| 0.5
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.131868
| 91
| 3
| 34
| 30.333333
| 0.911392
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
80ac17ab6213f7899e7bc99d7ccf5f21bc8f57e0
| 190
|
py
|
Python
|
torchtext/datasets/__init__.py
|
kobikun/text
|
7bcf8b7a67da59ca3da416017218fd996b4902a9
|
[
"BSD-3-Clause"
] | 3
|
2017-11-15T22:36:40.000Z
|
2021-01-19T10:53:36.000Z
|
torchtext/datasets/__init__.py
|
kobikun/text
|
7bcf8b7a67da59ca3da416017218fd996b4902a9
|
[
"BSD-3-Clause"
] | null | null | null |
torchtext/datasets/__init__.py
|
kobikun/text
|
7bcf8b7a67da59ca3da416017218fd996b4902a9
|
[
"BSD-3-Clause"
] | 1
|
2021-01-19T10:53:37.000Z
|
2021-01-19T10:53:37.000Z
|
from .language_modeling import LanguageModelingDataset
from .language_modeling import WikiText2
from .snli import SNLI
from .sentiment import SST
from .translation import TranslationDataset
| 31.666667
| 54
| 0.868421
| 22
| 190
| 7.409091
| 0.5
| 0.147239
| 0.245399
| 0.319018
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.005882
| 0.105263
| 190
| 5
| 55
| 38
| 0.952941
| 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
| 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
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 6
|
80c09244252b56e35d5927a19bad0d8702954fbd
| 412
|
py
|
Python
|
helpcenter/admin.py
|
delitamakanda/cautious-journey
|
a1d58e6ae649fc1ba84dc22ce7be30b4c1712b46
|
[
"MIT"
] | 3
|
2018-06-24T16:53:47.000Z
|
2021-04-02T03:11:24.000Z
|
helpcenter/admin.py
|
delitamakanda/cautious-journey
|
a1d58e6ae649fc1ba84dc22ce7be30b4c1712b46
|
[
"MIT"
] | 8
|
2019-03-29T22:58:58.000Z
|
2022-03-03T21:59:48.000Z
|
helpcenter/admin.py
|
delitamakanda/cautious-journey
|
a1d58e6ae649fc1ba84dc22ce7be30b4c1712b46
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from helpcenter.models import Lexique
from helpcenter.models import FoireAuxQuestions
from helpcenter.models import Board
from helpcenter.models import Topic
from helpcenter.models import Message
# Register your models here.
admin.site.register(Lexique)
admin.site.register(FoireAuxQuestions)
admin.site.register(Board)
admin.site.register(Topic)
admin.site.register(Message)
| 25.75
| 47
| 0.842233
| 54
| 412
| 6.425926
| 0.296296
| 0.201729
| 0.288184
| 0.37464
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.089806
| 412
| 15
| 48
| 27.466667
| 0.925333
| 0.063107
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.545455
| 0
| 0.545455
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
80ee2cac981da01f93689918a7064e0144757627
| 99
|
py
|
Python
|
losses/pytorch_msssim/__init__.py
|
zack466/autoreg-sr
|
88146370c04bc299c0f4fa3a43d9dbc237bb102c
|
[
"BSD-3-Clause"
] | null | null | null |
losses/pytorch_msssim/__init__.py
|
zack466/autoreg-sr
|
88146370c04bc299c0f4fa3a43d9dbc237bb102c
|
[
"BSD-3-Clause"
] | null | null | null |
losses/pytorch_msssim/__init__.py
|
zack466/autoreg-sr
|
88146370c04bc299c0f4fa3a43d9dbc237bb102c
|
[
"BSD-3-Clause"
] | null | null | null |
# taken from https://github.com/VainF/pytorch-msssim
from .ssim import ssim, ms_ssim, SSIM, MS_SSIM
| 49.5
| 52
| 0.777778
| 17
| 99
| 4.411765
| 0.647059
| 0.16
| 0.266667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.10101
| 99
| 2
| 53
| 49.5
| 0.842697
| 0.505051
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
037f5e0938daaec6c3c788f01e2b6bdeb33c3424
| 41
|
py
|
Python
|
protonets/data/__init__.py
|
pockerman/prototypical-networks
|
d19cac9637c9497181e613bb327fb0e93ee39929
|
[
"MIT"
] | null | null | null |
protonets/data/__init__.py
|
pockerman/prototypical-networks
|
d19cac9637c9497181e613bb327fb0e93ee39929
|
[
"MIT"
] | null | null | null |
protonets/data/__init__.py
|
pockerman/prototypical-networks
|
d19cac9637c9497181e613bb327fb0e93ee39929
|
[
"MIT"
] | null | null | null |
from . import omniglot
from . import tuf
| 13.666667
| 22
| 0.756098
| 6
| 41
| 5.166667
| 0.666667
| 0.645161
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.195122
| 41
| 2
| 23
| 20.5
| 0.939394
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 6
|
03889bfbce8fe14bbf958f572e90fbf537051ad3
| 65
|
py
|
Python
|
KwikTeam/spikedetekt2/spikedetekt2/core/__init__.py
|
VH-Lab/vhlab_thirdparty
|
e2a0e2898962ed45c748c9a32ac83dae101dad09
|
[
"MIT"
] | null | null | null |
KwikTeam/spikedetekt2/spikedetekt2/core/__init__.py
|
VH-Lab/vhlab_thirdparty
|
e2a0e2898962ed45c748c9a32ac83dae101dad09
|
[
"MIT"
] | null | null | null |
KwikTeam/spikedetekt2/spikedetekt2/core/__init__.py
|
VH-Lab/vhlab_thirdparty
|
e2a0e2898962ed45c748c9a32ac83dae101dad09
|
[
"MIT"
] | null | null | null |
from progressbar import *
from main import *
from script import *
| 21.666667
| 25
| 0.784615
| 9
| 65
| 5.666667
| 0.555556
| 0.392157
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.169231
| 65
| 3
| 26
| 21.666667
| 0.944444
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
03ae7330abe1762020e2726a7b218e5656667bdd
| 116
|
py
|
Python
|
packages/pieces/GN3.py
|
kirbysebastian/Salpakan
|
e05a43491f7c3c2528a3f9126cee3eba8308a94d
|
[
"MIT"
] | null | null | null |
packages/pieces/GN3.py
|
kirbysebastian/Salpakan
|
e05a43491f7c3c2528a3f9126cee3eba8308a94d
|
[
"MIT"
] | null | null | null |
packages/pieces/GN3.py
|
kirbysebastian/Salpakan
|
e05a43491f7c3c2528a3f9126cee3eba8308a94d
|
[
"MIT"
] | null | null | null |
class GN3:
def __init__(self):
self.name = 'GN3'
def __str__(self):
return self.name
| 16.571429
| 26
| 0.534483
| 14
| 116
| 3.857143
| 0.571429
| 0.222222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.027027
| 0.362069
| 116
| 7
| 27
| 16.571429
| 0.702703
| 0
| 0
| 0
| 0
| 0
| 0.027273
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| false
| 0
| 0
| 0.2
| 0.8
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 6
|
03f5c030f46eaf6b56b17950bcb87cae5645105f
| 245
|
py
|
Python
|
tests/conftest.py
|
TimotheDavid/web-miner
|
fd63943656671e2188c6d8d7b3a672bbd7b5a1e6
|
[
"MIT"
] | 38
|
2018-12-09T10:33:53.000Z
|
2022-01-01T05:59:44.000Z
|
tests/conftest.py
|
Createdd/web-miner
|
fd63943656671e2188c6d8d7b3a672bbd7b5a1e6
|
[
"MIT"
] | null | null | null |
tests/conftest.py
|
Createdd/web-miner
|
fd63943656671e2188c6d8d7b3a672bbd7b5a1e6
|
[
"MIT"
] | 16
|
2018-10-02T17:06:27.000Z
|
2022-03-16T22:12:30.000Z
|
import pytest
from webminer.external_interfaces.flask_server.app import create_app
from webminer.external_interfaces.flask_server.settings import TestConfig
@pytest.yield_fixture(scope='function')
def app():
return create_app(TestConfig)
| 24.5
| 73
| 0.836735
| 32
| 245
| 6.1875
| 0.5625
| 0.121212
| 0.20202
| 0.30303
| 0.414141
| 0.414141
| 0
| 0
| 0
| 0
| 0
| 0
| 0.089796
| 245
| 10
| 74
| 24.5
| 0.887892
| 0
| 0
| 0
| 0
| 0
| 0.03252
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| true
| 0
| 0.5
| 0.166667
| 0.833333
| 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
| 1
| 1
| 0
|
0
| 6
|
ff1d0b64782bcf4876bdfc9ad5cd0e082608aa52
| 27
|
py
|
Python
|
src/python/zquantum/core/testing/__init__.py
|
kottmanj/z-quantum-core
|
21752e92e79aafedbfeb6e7ae196bdc2fd5803e4
|
[
"Apache-2.0"
] | 1
|
2020-05-08T15:27:19.000Z
|
2020-05-08T15:27:19.000Z
|
src/python/zquantum/core/testing/__init__.py
|
kottmanj/z-quantum-core
|
21752e92e79aafedbfeb6e7ae196bdc2fd5803e4
|
[
"Apache-2.0"
] | null | null | null |
src/python/zquantum/core/testing/__init__.py
|
kottmanj/z-quantum-core
|
21752e92e79aafedbfeb6e7ae196bdc2fd5803e4
|
[
"Apache-2.0"
] | null | null | null |
from ._initialize import *
| 13.5
| 26
| 0.777778
| 3
| 27
| 6.666667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.148148
| 27
| 1
| 27
| 27
| 0.869565
| 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
| 1
| 0
|
0
| 6
|
205ae2e5881b3518e5733ad55af181fe9b5a5fba
| 22
|
py
|
Python
|
dpmhm/datasets/cwru/__init__.py
|
yanncalec/dpmhm
|
0a242bc8add0ba1463bb2b63b2c15abb80b83fa7
|
[
"MIT"
] | null | null | null |
dpmhm/datasets/cwru/__init__.py
|
yanncalec/dpmhm
|
0a242bc8add0ba1463bb2b63b2c15abb80b83fa7
|
[
"MIT"
] | null | null | null |
dpmhm/datasets/cwru/__init__.py
|
yanncalec/dpmhm
|
0a242bc8add0ba1463bb2b63b2c15abb80b83fa7
|
[
"MIT"
] | null | null | null |
from .cwru import CWRU
| 22
| 22
| 0.818182
| 4
| 22
| 4.5
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.136364
| 22
| 1
| 22
| 22
| 0.947368
| 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
| 1
| 0
|
0
| 6
|
205bb56c957fc9e20a06bec369e570010ed79d59
| 2,899
|
py
|
Python
|
Python/Practices/Trees/path_sum_ii.py
|
Mr-Perfection/coding_practice
|
41df85292a151eef3266b01545124aeb4e831286
|
[
"Unlicense"
] | null | null | null |
Python/Practices/Trees/path_sum_ii.py
|
Mr-Perfection/coding_practice
|
41df85292a151eef3266b01545124aeb4e831286
|
[
"Unlicense"
] | null | null | null |
Python/Practices/Trees/path_sum_ii.py
|
Mr-Perfection/coding_practice
|
41df85292a151eef3266b01545124aeb4e831286
|
[
"Unlicense"
] | null | null | null |
# Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution(object):
def search_paths(self, root, sum, path, paths):
if not(root): return
sum -= root.val
if sum < 0: return
path.append(root.val)
if sum == 0:
paths.append(path[:])
self.search_paths(root.left, sum, path, paths)
self.search_paths(root.right, sum, path, paths)
path.pop()
def pathSum(self, root, sum):
"""
:type root: TreeNode
:type sum: int
:rtype: List[List[int]]
Assumptions:
root to leaf paths (root has to be included)
return list of all the possible paths.
Path is a list of integers that sum up to sum.
Approach #1: DFS
search_paths(root, sum, path, paths)
if root == null, return
sum -= root.val
if sum < 0, return
path.append(root.val)
if sum == 0,
paths.append(path)
path.pop()
return
search_paths(root.left, sum, path, paths)
search_paths(root.right, sum, path, paths)
path.pop()
"""
path = []
paths = []
self.search_paths(root, sum, path, paths)
return paths
# Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution(object):
def search_paths(self, root, sum, path, paths):
if not(root): return
path.append(root.val)
if not(root.left) and not(root.right) and sum == root.val:
paths.append(path[:])
if root.left:
self.search_paths(root.left, sum-root.val, path, paths)
if root.right:
self.search_paths(root.right, sum-root.val, path, paths)
path.pop()
def pathSum(self, root, sum):
"""
:type root: TreeNode
:type sum: int
:rtype: List[List[int]]
Assumptions:
root to leaf paths (root has to be included)
return list of all the possible paths.
Path is a list of integers that sum up to sum.
Approach #1: DFS
search_paths(root, sum, path, paths)
if root == null, return
sum -= root.val
if sum < 0, return
path.append(root.val)
if sum == 0,
paths.append(path)
path.pop()
return
search_paths(root.left, sum, path, paths)
search_paths(root.right, sum, path, paths)
path.pop()
"""
path = []
paths = []
self.search_paths(root, sum, path, paths)
return paths
| 27.349057
| 68
| 0.521559
| 362
| 2,899
| 4.116022
| 0.146409
| 0.096644
| 0.096644
| 0.06443
| 0.949664
| 0.934228
| 0.880537
| 0.859732
| 0.859732
| 0.844295
| 0
| 0.004396
| 0.372197
| 2,899
| 105
| 69
| 27.609524
| 0.814286
| 0.483615
| 0
| 0.6875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.125
| false
| 0
| 0
| 0
| 0.25
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 6
|
20600c58bc6712f6f05d3fc5fb5dbd3b250a1ea8
| 70
|
py
|
Python
|
discordland/__init__.py
|
Hype3808/DiscordLand.py
|
061379b721ccb207c7f313230e67155174e63c32
|
[
"MIT"
] | null | null | null |
discordland/__init__.py
|
Hype3808/DiscordLand.py
|
061379b721ccb207c7f313230e67155174e63c32
|
[
"MIT"
] | 1
|
2021-12-03T03:40:04.000Z
|
2022-01-06T07:56:29.000Z
|
discordland/__init__.py
|
Hype3808/DiscordLand.py
|
061379b721ccb207c7f313230e67155174e63c32
|
[
"MIT"
] | null | null | null |
from .client import *
from .results import *
from .errors import *
| 17.5
| 23
| 0.7
| 9
| 70
| 5.444444
| 0.555556
| 0.408163
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.214286
| 70
| 3
| 24
| 23.333333
| 0.890909
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
208094d983fa3d671d9cd089a85e9ff6b73f822c
| 41
|
py
|
Python
|
examen.py
|
haroldmasterr/examen_1
|
e420203b48a8739fbc51f35a7e4cbe49bce4b3f8
|
[
"MIT"
] | null | null | null |
examen.py
|
haroldmasterr/examen_1
|
e420203b48a8739fbc51f35a7e4cbe49bce4b3f8
|
[
"MIT"
] | null | null | null |
examen.py
|
haroldmasterr/examen_1
|
e420203b48a8739fbc51f35a7e4cbe49bce4b3f8
|
[
"MIT"
] | null | null | null |
print("git UNT ")
print("git lunes")
| 6.833333
| 19
| 0.585366
| 6
| 41
| 4
| 0.666667
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.219512
| 41
| 5
| 20
| 8.2
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0.435897
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 6
|
afe36ee3c494ff8cabeb5cbe5568b6793459e70e
| 90
|
py
|
Python
|
xwavfreq/__init__.py
|
AndrewWilliams3142/xwavfreq
|
716cb341b170d387dac53d321b9fc1c5bd81ec26
|
[
"MIT"
] | null | null | null |
xwavfreq/__init__.py
|
AndrewWilliams3142/xwavfreq
|
716cb341b170d387dac53d321b9fc1c5bd81ec26
|
[
"MIT"
] | null | null | null |
xwavfreq/__init__.py
|
AndrewWilliams3142/xwavfreq
|
716cb341b170d387dac53d321b9fc1c5bd81ec26
|
[
"MIT"
] | null | null | null |
from . import analysis
from . import plotting
from . import utils
from . import constants
| 18
| 23
| 0.777778
| 12
| 90
| 5.833333
| 0.5
| 0.571429
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.177778
| 90
| 4
| 24
| 22.5
| 0.945946
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
afe7bf93c6ddb11f7ca065ec38ab5a67d1f15372
| 1,995
|
py
|
Python
|
tests/test_callbacks.py
|
SimonBlanke/hyperactive
|
2137f682dd6351dc5c4de8d0d3ad3bd637af57dd
|
[
"MIT"
] | 4
|
2019-06-09T08:04:01.000Z
|
2019-06-26T05:45:09.000Z
|
tests/test_callbacks.py
|
SimonBlanke/hyperactive
|
2137f682dd6351dc5c4de8d0d3ad3bd637af57dd
|
[
"MIT"
] | null | null | null |
tests/test_callbacks.py
|
SimonBlanke/hyperactive
|
2137f682dd6351dc5c4de8d0d3ad3bd637af57dd
|
[
"MIT"
] | null | null | null |
import copy
import pytest
import numpy as np
import pandas as pd
from hyperactive import Hyperactive
search_space = {
"x1": list(np.arange(-100, 100, 1)),
}
def test_callback_0():
def callback_1(access):
access.stuff1 = 1
def callback_2(access):
access.stuff2 = 2
def objective_function(access):
assert access.stuff1 == 1
assert access.stuff2 == 2
return 0
hyper = Hyperactive()
hyper.add_search(
objective_function,
search_space,
n_iter=100,
callbacks={"before": [callback_1, callback_2]},
)
hyper.run()
def test_callback_1():
def callback_1(access):
access.stuff1 = 1
def callback_2(access):
access.stuff1 = 2
def objective_function(access):
assert access.stuff1 == 1
return 0
hyper = Hyperactive()
hyper.add_search(
objective_function,
search_space,
n_iter=100,
callbacks={"before": [callback_1], "after": [callback_2]},
)
hyper.run()
def test_callback_2():
def callback_1(access):
access.pass_through["stuff1"] = 1
def objective_function(access):
assert access.pass_through["stuff1"] == 1
return 0
hyper = Hyperactive()
hyper.add_search(
objective_function,
search_space,
n_iter=100,
callbacks={"before": [callback_1]},
pass_through={"stuff1": 0},
)
hyper.run()
def test_callback_3():
def callback_1(access):
access.pass_through["stuff1"] = 1
def objective_function(access):
if access.nth_iter == 0:
assert access.pass_through["stuff1"] == 0
else:
assert access.pass_through["stuff1"] == 1
return 0
hyper = Hyperactive()
hyper.add_search(
objective_function,
search_space,
n_iter=100,
callbacks={"after": [callback_1]},
pass_through={"stuff1": 0},
)
hyper.run()
| 19.95
| 66
| 0.594987
| 232
| 1,995
| 4.905172
| 0.185345
| 0.071178
| 0.104569
| 0.101054
| 0.826011
| 0.787346
| 0.787346
| 0.731107
| 0.677504
| 0.602812
| 0
| 0.049006
| 0.294236
| 1,995
| 99
| 67
| 20.151515
| 0.759233
| 0
| 0
| 0.648649
| 0
| 0
| 0.03609
| 0
| 0
| 0
| 0
| 0
| 0.081081
| 1
| 0.189189
| false
| 0.094595
| 0.067568
| 0
| 0.310811
| 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
| 1
| 0
| 0
| 0
| 0
|
0
| 6
|
b316a3f5ef749355542e9aa1e6e6f2c1d2ffc250
| 27
|
py
|
Python
|
voxel_array/__init__.py
|
bcov77/npose
|
0b448b8a5d0ee18f991c9dc00c914def351af548
|
[
"MIT"
] | 1
|
2021-12-10T02:02:22.000Z
|
2021-12-10T02:02:22.000Z
|
voxel_array/__init__.py
|
bcov77/npose
|
0b448b8a5d0ee18f991c9dc00c914def351af548
|
[
"MIT"
] | null | null | null |
voxel_array/__init__.py
|
bcov77/npose
|
0b448b8a5d0ee18f991c9dc00c914def351af548
|
[
"MIT"
] | 2
|
2020-05-05T20:03:41.000Z
|
2020-06-13T15:31:35.000Z
|
from .voxel_array import *
| 13.5
| 26
| 0.777778
| 4
| 27
| 5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.148148
| 27
| 1
| 27
| 27
| 0.869565
| 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
| 1
| 0
|
0
| 6
|
b337e9606cb0d898650bfce4bfc92778be53bb4e
| 5,732
|
py
|
Python
|
contractpy/test/test_contract_verifier.py
|
KumarManoj-S/pycontract
|
5682741af0f98ac40819bd7c6ff7b48d0e9abf6b
|
[
"MIT"
] | 8
|
2020-03-23T12:50:08.000Z
|
2021-04-05T02:27:34.000Z
|
contractpy/test/test_contract_verifier.py
|
KumarManoj-S/pycontract
|
5682741af0f98ac40819bd7c6ff7b48d0e9abf6b
|
[
"MIT"
] | 1
|
2020-07-26T16:20:37.000Z
|
2020-07-27T06:19:33.000Z
|
contractpy/test/test_contract_verifier.py
|
KumarManoj-S/pycontract
|
5682741af0f98ac40819bd7c6ff7b48d0e9abf6b
|
[
"MIT"
] | 2
|
2020-03-24T15:39:20.000Z
|
2020-07-26T16:49:34.000Z
|
from contractpy.main.contract_verifier import ContractVerifier
from contractpy.main.types import Types
def test_contract_verifier_for_single_value():
assert ContractVerifier.verify(str, "manoj") is True
assert ContractVerifier.verify(int, 10) is True
assert ContractVerifier.verify(float, 2.0) is True
assert ContractVerifier.verify(int, 10.3) is False
assert ContractVerifier.verify(str, 10) is False
def test_contract_verifier_for_list_of_values():
assert ContractVerifier.verify([Types.STRING], ["str1", "str2"]) is True
assert ContractVerifier.verify([Types.INTEGER], [123, 45]) is True
assert ContractVerifier.verify([Types.FLOAT], [4.0, 5.2]) is True
assert ContractVerifier.verify([Types.STRING], ["str1", 1]) is False
assert ContractVerifier.verify([Types.INTEGER], [1, 2.0]) is False
def test_contract_verifier_for_flat_dict():
assert ContractVerifier.verify({
'a': Types.INTEGER,
'b': Types.FLOAT,
'c': Types.STRING
}, {
'a': 5,
'b': 3.4,
'c': 'manoj'
}) is True
assert ContractVerifier.verify({
'a': Types.INTEGER,
'b': Types.FLOAT,
'c': Types.STRING
}, {
'a': '5',
'b': 3.4,
'c': 'manoj'
}) is False
assert ContractVerifier.verify({
'a': Types.INTEGER,
'b': Types.FLOAT,
'c': Types.STRING
}, {
'a': 5,
'b': 3,
'c': 'manoj'
}) is False
def test_contract_verifier_for_flat_dict_contains_value_as_list_of_primitive_types():
assert ContractVerifier.verify({
'a': Types.INTEGER,
'b': Types.FLOAT,
'c': [Types.STRING]
}, {
'a': 5,
'b': 3.0,
'c': ['manoj', 'kumar']
}) is True
assert ContractVerifier.verify({
'a': [Types.INTEGER],
'b': Types.FLOAT,
'c': Types.STRING
}, {
'a': [5],
'b': 3.0,
'c': 'abc'
}) is True
assert ContractVerifier.verify({
'a': [Types.INTEGER],
'b': Types.FLOAT,
'c': Types.STRING
}, {
'a': [5],
'b': [3.0],
'c': 'abc'
}) is False
def test_contract_verifier_for_nested_dict():
assert ContractVerifier.verify({
'a': [Types.INTEGER],
'b': Types.FLOAT,
'c': {
'd': [Types.STRING],
'e': Types.INTEGER,
'a': {'f': [Types.FLOAT]}
}
}, {
'a': [5],
'b': 3.0,
'c': {
'd': ["def"],
'e': 45,
'a': {'f': [4.0]}
}
}) is True
assert ContractVerifier.verify({
'a': [Types.INTEGER],
'b': Types.FLOAT,
'c': {
'd': [Types.STRING],
'e': Types.INTEGER,
'a': {'f': [Types.FLOAT]}
}
}, {
'a': [5],
'b': 3.0,
'c': {
'd': ["def"],
'e': 45,
'a': {'f': 4.0}
}
}) is False
def test_contract_verifier_for_dict_contains_list_dict():
assert ContractVerifier.verify({
'a': [{'b': Types.INTEGER, 'c': [Types.STRING]}]
}, {
'a': [
{'b': 45, 'c': ['manoj']},
{'b': 34, 'c': ['abc', 'cde'], 'e': 'er'}
]
}) is True
assert ContractVerifier.verify({
'a': [{'b': Types.INTEGER, 'c': [Types.STRING]}]
}, {
'a': [
{'b': 45, 'c': ['manoj']},
{'b': 34, 'c': ['abc', 'cde'], 'e': 'er'},
{'b': "manoj", 'c': ['a']}
]
}) is False
assert ContractVerifier.verify({
'a': [{'b': Types.INTEGER, 'c': [Types.STRING]}]
}, {
'a': [
{'b': 45, 'c': ['manoj']},
{'b': 34, 'c': ['abc', 'cde'], 'e': 'er'},
{'b': 34, 'c': ['a', 5]}
]
}) is False
def test_contract_verifier_should_return_true_if_data_matches_the_contract():
contract = {
'abc': {
'bcd': {
'efg': [Types.STRING]
},
'erf': Types.INTEGER
},
'xyz': [{
'qwerty': [Types.INTEGER]
}]
}
data = {
'abc': {
'bcd': {
'efg': ['I', 'Love', 'my', 'country']
},
'erf': 12345
},
'xyz': [
{'qwerty': [1, 2, 3, 4, 5]}, {'qwerty': [10, 20, 30, 40, 50]}
]
}
assert ContractVerifier.verify(contract, data) is True
def test_contract_verifier_should_return_false_if_data_does_not_matches_the_contract():
contract = {
'abc': {
'bcd': {
'efg': [Types.STRING]
},
'erf': Types.INTEGER
},
'xyz': [{
'qwerty': [Types.INTEGER]
}]
}
data = {
'abc': {
'bcd': {
'efg': ['I', 'Love', 'my', 'country']
},
'erf': 12345
},
'xyz': [
{'qwerty': [1, 2, 3, 4, 5]}, {'qwerty': [10, 20, 30, 40, "string"]}
]
}
assert ContractVerifier.verify(contract, data) is False
def test_contract_verifier_should_return_false_if_data_does_not_contain_any_mandatory_field():
contract = {
'abc': {
'bcd': {
'efg': [Types.STRING]
},
'erf': Types.INTEGER
},
'xyz': [{
'qwerty': [Types.INTEGER]
}]
}
data = {
'abc': {
'bcd': {
'efg': ['I', 'Love', 'my', 'country']
}
},
'xyz': [
{'qwerty': [1, 2, 3, 4, 5]}, {'qwerty': [10, 20, 30, 40, 50]}
]
}
assert ContractVerifier.verify(contract, data) is False
| 24.495726
| 94
| 0.45307
| 597
| 5,732
| 4.222781
| 0.135678
| 0.209441
| 0.266561
| 0.122174
| 0.87862
| 0.817929
| 0.740976
| 0.666799
| 0.634669
| 0.603729
| 0
| 0.033889
| 0.361654
| 5,732
| 234
| 95
| 24.495727
| 0.655097
| 0
| 0
| 0.699507
| 0
| 0
| 0.067155
| 0
| 0
| 0
| 0
| 0
| 0.118227
| 1
| 0.044335
| false
| 0
| 0.009852
| 0
| 0.054187
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
b35ee430852709036dad0cfbf886b73580e7364a
| 144
|
py
|
Python
|
automl_infrastructure/experiment/__init__.py
|
barak1412/automl_infrastructure
|
e8a291d175237bb7f74ebae5d6f5d2f8bcf5dc32
|
[
"MIT"
] | null | null | null |
automl_infrastructure/experiment/__init__.py
|
barak1412/automl_infrastructure
|
e8a291d175237bb7f74ebae5d6f5d2f8bcf5dc32
|
[
"MIT"
] | null | null | null |
automl_infrastructure/experiment/__init__.py
|
barak1412/automl_infrastructure
|
e8a291d175237bb7f74ebae5d6f5d2f8bcf5dc32
|
[
"MIT"
] | null | null | null |
from automl_infrastructure.experiment.base import Experiment
from automl_infrastructure.experiment.params import RangedParameter, ListParameter
| 48
| 82
| 0.902778
| 15
| 144
| 8.533333
| 0.6
| 0.15625
| 0.375
| 0.53125
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.0625
| 144
| 2
| 83
| 72
| 0.948148
| 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
| 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
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 6
|
b36091f6a355b6685e52b0f58f2767ac8ff9725b
| 45
|
py
|
Python
|
spitzer/lib/core/rollback.py
|
feliphebueno/Spitzer
|
a1bf88184f7ddef629c0be9ff4e157fc8ba2a0ac
|
[
"MIT"
] | null | null | null |
spitzer/lib/core/rollback.py
|
feliphebueno/Spitzer
|
a1bf88184f7ddef629c0be9ff4e157fc8ba2a0ac
|
[
"MIT"
] | 1
|
2017-09-06T13:22:35.000Z
|
2017-09-06T13:22:39.000Z
|
spitzer/lib/core/rollback.py
|
feliphebueno/Spitzer
|
a1bf88184f7ddef629c0be9ff4e157fc8ba2a0ac
|
[
"MIT"
] | null | null | null |
from django.db import connection, connections
| 45
| 45
| 0.866667
| 6
| 45
| 6.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.088889
| 45
| 1
| 45
| 45
| 0.95122
| 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
| 1
| 0
|
0
| 6
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.