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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
bdbac4dd986b8cd8f42855a568b8f69822a8a76a | 6,527 | py | Python | relational/student_projects/2020_borukhson/models/TransitiveInference/Trabasso.py | monthie/cogmods | 62af4b8bf2effb77f26a8877d6a89949164d83f0 | [
"MIT"
] | null | null | null | relational/student_projects/2020_borukhson/models/TransitiveInference/Trabasso.py | monthie/cogmods | 62af4b8bf2effb77f26a8877d6a89949164d83f0 | [
"MIT"
] | 11 | 2020-05-04T09:05:29.000Z | 2021-04-08T13:22:34.000Z | relational/student_projects/2020_borukhson/models/TransitiveInference/Trabasso.py | monthie/cogmods | 62af4b8bf2effb77f26a8877d6a89949164d83f0 | [
"MIT"
] | 12 | 2020-05-02T09:36:14.000Z | 2021-06-22T08:10:45.000Z | """ Transitive-Inference model implementation.
"""
import ccobra
import random
import numpy as np
from modelfunctions import *
def setEq(a, b):
for aI in a:
if aI not in b:
return False
for bI in b:
if bI not in a:
return False
return True
class Trabasso(ccobra.CCobraModel):
""" News reasoning CCOBRA implementation.
"""
def __init__(self, name='Trabasso-Riley74'):
""" Initializes the news reasoning model.
Parameters
----------
name : str
Unique name of the model. Will be used throughout the ORCA
framework as a means for identifying the model.
"""
#Done; various other interpretations conceivable
self.intArrs = []
self.h = 0.5
super().__init__(name, ['spatial-relational'], ['single-choice'])
def predict(self, item, **kwargs):
""" Predicts weighted responses to a given syllogism.
"""
# Generate and return the current prediction
first, second = item.choices[0][0][0], item.choices[1][0][0]
for array in self.intArrs:
if first in array and second in array:
if array.index(first) < array.index(second):
chance = random.random()
if chance < array.index(first)/max(0.0001,len(array)*self.h):
return int(first)
if chance < (len(array) - array.index(second))/max(0.0001,len(array)*self.h):
return int(first)
elif array.index(second) < array.index(first):
chance = random.random()
if chance < array.index(second)/max(0.0001,len(array)*self.h):
return int(second)
if chance < (len(array) - array.index(first))/max(0.0001,len(array)*self.h):
return int(second)
return int([first, second][np.random.randint(0, len([first, second]))])
def predictS(self, pair):
first, second = pair
for array in self.intArrs:
if first in array and second in array:
if array.index(first) < array.index(second):
return max(array.index(first)/max(0.0001,len(array)*self.h), (len(array) - array.index(second))/max(0.0001,len(array)*self.h))
elif array.index(second) < array.index(first):
return max(1 - array.index(second)/max(0.0001,len(array)*self.h), 1 - array.index(first)/max(0.0001,len(array)*self.h))
return 0.5
def adaptS(self, pair):
first, second = sortedPair(pair)
first, second = str(first), str(second)
pairsFound = 0
for array in self.intArrs:
if first in array and second in array:
pairsFound += 1
if array.index(first) < array.index(second):
return
if array.index(first) > array.index(second):
array[array.index(first)] = second
array[array.index(second)] = first
elif first in array:
pairsFound += 1
newArrs = [array[:array.index(first)+1] + [second] + array[array.index(first)+1:]]
for eachArray in self.intArrs:
if not setEq(eachArray, array):
newArrs.append(eachArray)
self.intArrs = newArrs
elif second in array:
pairsFound += 1
newArrs = [array[:array.index(second)] + [first] + array[array.index(second):]]
for eachArray in self.intArrs:
if not setEq(eachArray, array):
newArrs.append(eachArray)
self.intArrs = newArrs
for otherArray in self.intArrs:
if array[0] == otherArray[-1]:
newArrs = [otherArray[:-1] + array]
for eachArray in self.intArrs:
if not setEq(eachArray, otherArray):
newArrs.append(eachArray)
self.intArrs = newArrs
if array[-1] == otherArray[0]:
newArrs = [array[:-1] + otherArray]
for eachArray in self.intArrs:
if not setEq(eachArray, otherArray):
newArrs.append(eachArray)
self.intArrs = newArrs
if pairsFound == 0:
self.intArrs.append([first, second])
def adapt(self, item, target, **kwargs):
first, second = sortedPair((item.choices[0][0][0], item.choices[1][0][0]))
pairsFound = 0
for array in self.intArrs:
if first in array and second in array:
pairsFound += 1
if array.index(first) < array.index(second):
return
if array.index(first) > array.index(second):
array[array.index(first)] = second
array[array.index(second)] = first
elif first in array:
pairsFound += 1
newArrs = [array[:array.index(first)+1] + [second] + array[array.index(first)+1:]]
for eachArray in self.intArrs:
if not setEq(eachArray, array):
newArrs.append(eachArray)
self.intArrs = newArrs
elif second in array:
pairsFound += 1
newArrs = [array[:array.index(second)] + [first] + array[array.index(second):]]
for eachArray in self.intArrs:
if not setEq(eachArray, array):
newArrs.append(eachArray)
self.intArrs = newArrs
for otherArray in self.intArrs:
if array[0] == otherArray[-1]:
newArrs = [otherArray[:-1] + array]
for eachArray in self.intArrs:
if not setEq(eachArray, otherArray):
newArrs.append(eachArray)
self.intArrs = newArrs
if array[-1] == otherArray[0]:
newArrs = [array[:-1] + otherArray]
for eachArray in self.intArrs:
if not setEq(eachArray, otherArray):
newArrs.append(eachArray)
self.intArrs = newArrs
if pairsFound == 0:
self.intArrs.append([first, second])
| 45.013793 | 146 | 0.513865 | 700 | 6,527 | 4.78 | 0.14 | 0.107591 | 0.080693 | 0.062762 | 0.748356 | 0.748356 | 0.741184 | 0.704722 | 0.702929 | 0.702929 | 0 | 0.021466 | 0.379041 | 6,527 | 144 | 147 | 45.326389 | 0.804096 | 0.064655 | 0 | 0.741935 | 0 | 0 | 0.007796 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.048387 | false | 0 | 0.032258 | 0 | 0.193548 | 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 |
da0468f7a5d289dde917f03cfa5d56b85dc2f4ae | 2,726 | py | Python | timeSerial/mlp/main.py | Patataman/Gw2PricePredictor | b07782e2d01e25208f2e20e225a2a2963dbe1f40 | [
"MIT"
] | 1 | 2022-03-20T21:49:27.000Z | 2022-03-20T21:49:27.000Z | timeSerial/mlp/main.py | Patataman/Gw2PricePredictor | b07782e2d01e25208f2e20e225a2a2963dbe1f40 | [
"MIT"
] | null | null | null | timeSerial/mlp/main.py | Patataman/Gw2PricePredictor | b07782e2d01e25208f2e20e225a2a2963dbe1f40 | [
"MIT"
] | 1 | 2021-01-20T10:37:48.000Z | 2021-01-20T10:37:48.000Z | from mlp_class import mlp
red_mlp = None
while True:
key = input("1. Crear una red para comprar\
\n2. Crear una red para vender\
\n3. Predecir precio (Necesaria una red)\
\n4. Salir\n >> ")
if key == '1':
objeto = input("Selecciona el objeto que quieres predecir (Escribe el número):\
\n\t- 19727\
\n\t- 24325\
\n\t- 24292\
\n\t- 24344\
\n\t- 24289\n")
previos = input("Número par de objetos usados para predecir. Por defecto 10.\n")
while int(previos)%2 != 0:
previos = input("Te dije número par! >:( \n")
iteraciones = input("Número de iteraciones para entrenar. Por defecto 100.\n")
while int(iteraciones) <= 0:
iteraciones = input("Pon un número grandote anda.\n")
neuronas_ocultas = input("Número de neuronas ocultas. Por defecto 10.\n")
while int(neuronas_ocultas) <= 0:
neuronas_ocultas = input("Pon un número más mejor.\n")
alpha = input("Ratio de aprendizaje. Por defecto 0.01.\n")
while float(alpha) <= 0:
alpha = input("Pon un número más mejor.\n")
red_mlp = mlp('buy', objeto, int(previos), int(iteraciones), int(neuronas_ocultas), float(alpha))
print(">>> Red entrenada! <<<\n")
elif key == '2':
objeto = input("Selecciona el objeto que quieres predecir (Escribe el número):\
\n\t- 19727\
\n\t- 24325\
\n\t- 24292\
\n\t- 24344\
\n\t- 24289\n")
previos = input("Número par de objetos usados para predecir. Por defecto 10.\n")
while int(previos)%2 != 0:
previos = input("Te dije número par! >:( \n")
iteraciones = input("Número de iteraciones para entrenar. Por defecto 100.\n")
while int(iteraciones) <= 0:
iteraciones = input("Pon un número grandote anda.\n")
neuronas_ocultas = input("Número de neuronas ocultas. Por defecto 10.\n")
while int(neuronas_ocultas) <= 0:
neuronas_ocultas = input("Pon un número más mejor.\n")
alpha = input("Ratio de aprendizaje. Por defecto 0.01.\n")
while float(alpha) <= 0:
alpha = input("Pon un número más mejor.\n")
red_mlp = mlp('sell', objeto, int(previos), int(iteraciones), int(neuronas_ocultas), float(alpha))
print(">>> Red entrenada! <<<\n")
elif key == '3':
pasos = input("Introduce cuantos pasos de 2h quieres predecir\n")
print("El proximo valor será %s" % red_mlp.predict(int(pasos)))
elif key == '4':
print("Bye bye!")
exit()
else:
print("%s no, eso caca.\n" % key)
| 38.942857 | 106 | 0.569699 | 358 | 2,726 | 4.301676 | 0.248603 | 0.012987 | 0.035065 | 0.062338 | 0.811688 | 0.811688 | 0.811688 | 0.811688 | 0.811688 | 0.811688 | 0 | 0.046427 | 0.296772 | 2,726 | 69 | 107 | 39.507246 | 0.756912 | 0 | 0 | 0.666667 | 0 | 0 | 0.285138 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.017544 | 0 | 0.017544 | 0.087719 | 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 |
da18c52a2693650f4dc489f44b85f78fe7e5969e | 120 | py | Python | jh_hpc_interface/__init__.py | pc2/JHub-HPC-Interface | 6c205d2269d134dc3cbac55375eeec0ec586d921 | [
"MIT"
] | 2 | 2021-04-09T08:28:34.000Z | 2021-04-09T11:12:08.000Z | jh_hpc_interface/__init__.py | pc2/JHub-HPC-Interface | 6c205d2269d134dc3cbac55375eeec0ec586d921 | [
"MIT"
] | null | null | null | jh_hpc_interface/__init__.py | pc2/JHub-HPC-Interface | 6c205d2269d134dc3cbac55375eeec0ec586d921 | [
"MIT"
] | null | null | null | from jh_hpc_interface.jh_interface import manageInstance
from jh_hpc_interface.jh_environment import JupyterEnvironment
| 40 | 62 | 0.916667 | 16 | 120 | 6.5 | 0.5 | 0.115385 | 0.173077 | 0.346154 | 0.384615 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.066667 | 120 | 2 | 63 | 60 | 0.928571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 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 |
da2397c8e4d8f0dbdd49405e9a1e57d8ef73fe68 | 38 | py | Python | test/system/benchmark/pos/__init__.py | iljoongkr/poseidonos | 01ed7c323c4f6dbd99970f4b036ade2f0a4e4383 | [
"BSD-3-Clause"
] | 38 | 2021-04-06T03:20:55.000Z | 2022-03-02T09:33:28.000Z | test/system/benchmark/pos/__init__.py | iljoongkr/poseidonos | 01ed7c323c4f6dbd99970f4b036ade2f0a4e4383 | [
"BSD-3-Clause"
] | 19 | 2021-04-08T02:27:44.000Z | 2022-03-23T00:59:04.000Z | test/system/benchmark/pos/__init__.py | iljoongkr/poseidonos | 01ed7c323c4f6dbd99970f4b036ade2f0a4e4383 | [
"BSD-3-Clause"
] | 28 | 2021-04-08T04:39:18.000Z | 2022-03-24T05:56:00.000Z | from .env import *
from .cli import *
| 12.666667 | 18 | 0.684211 | 6 | 38 | 4.333333 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.210526 | 38 | 2 | 19 | 19 | 0.866667 | 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 |
da3a1f1214fb5a0f44a5ab80ae2b8a8e4adc82ef | 11,304 | py | Python | python/fonts.py | wyojustin/WorldClock | 2a2b0c40c0f5bbaded5cef0553cc61436d1fec7d | [
"Apache-2.0"
] | null | null | null | python/fonts.py | wyojustin/WorldClock | 2a2b0c40c0f5bbaded5cef0553cc61436d1fec7d | [
"Apache-2.0"
] | null | null | null | python/fonts.py | wyojustin/WorldClock | 2a2b0c40c0f5bbaded5cef0553cc61436d1fec7d | [
"Apache-2.0"
] | null | null | null | font_5x6 = [
[0x00,0x00,0x00,0x00,0x00,0x00], #
[0x5c,0x00,0x00,0x00,0x00,0x00], # !
[0x06,0x00,0x06,0x00,0x00,0x00], # "
[0x28,0x7c,0x28,0x7c,0x28,0x00], # #
[0x5c,0x54,0xfe,0x54,0x74,0x00], # $
[0x44,0x20,0x10,0x08,0x44,0x00], # %
[0x28,0x54,0x54,0x20,0x50,0x00], # &
[0x06,0x00,0x00,0x00,0x00,0x00], # '
[0x38,0x44,0x00,0x00,0x00,0x00], # (
[0x44,0x38,0x00,0x00,0x00,0x00], # )
[0x02,0x07,0x02,0x00,0x00,0x00], # *
[0x10,0x10,0x7c,0x10,0x10,0x00], # +
[0xc0,0x00,0x00,0x00,0x00,0x00], # ,
[0x10,0x10,0x10,0x10,0x10,0x00], # -
[0x40,0x00,0x00,0x00,0x00,0x00], # .
[0x60,0x10,0x0c,0x00,0x00,0x00], # /
[0x7c,0x64,0x54,0x4c,0x7c,0x00], # 0
[0x48,0x7c,0x40,0x00,0x00,0x00], # 1
[0x64,0x54,0x54,0x54,0x48,0x00], # 2
[0x44,0x54,0x54,0x54,0x6c,0x00], # 3
[0x3c,0x20,0x70,0x20,0x20,0x00], # 4
[0x5c,0x54,0x54,0x54,0x24,0x00], # 5
[0x7c,0x54,0x54,0x54,0x74,0x00], # 6
[0x04,0x04,0x64,0x14,0x0c,0x00], # 7
[0x7c,0x54,0x54,0x54,0x7c,0x00], # 8
[0x5c,0x54,0x54,0x54,0x7c,0x00], # 9
[0x44,0x00,0x00,0x00,0x00,0x00], # :
[0xc4,0x00,0x00,0x00,0x00,0x00], # ;
[0x10,0x28,0x44,0x00,0x00,0x00], # <
[0x28,0x28,0x28,0x28,0x28,0x00], # =
[0x44,0x28,0x10,0x00,0x00,0x00], # >
[0x08,0x04,0x54,0x08,0x00,0x00], # ?
[0x7c,0x44,0x54,0x54,0x5c,0x00], # @
[0x7c,0x24,0x24,0x24,0x7c,0x00], # A
[0x7c,0x54,0x54,0x54,0x6c,0x00], # B
[0x7c,0x44,0x44,0x44,0x44,0x00], # C
[0x7c,0x44,0x44,0x44,0x38,0x00], # D
[0x7c,0x54,0x54,0x54,0x44,0x00], # E
[0x7c,0x14,0x14,0x14,0x04,0x00], # F
[0x7c,0x44,0x44,0x54,0x74,0x00], # G
[0x7c,0x10,0x10,0x10,0x7c,0x00], # H
[0x44,0x44,0x7c,0x44,0x44,0x00], # I
[0x60,0x40,0x40,0x44,0x7c,0x00], # J
[0x7c,0x10,0x10,0x28,0x44,0x00], # K
[0x7c,0x40,0x40,0x40,0x40,0x00], # L
[0x7c,0x08,0x10,0x08,0x7c,0x00], # M
[0x7c,0x08,0x10,0x20,0x7c,0x00], # N
[0x38,0x44,0x44,0x44,0x38,0x00], # O
[0x7c,0x14,0x14,0x14,0x08,0x00], # P
[0x3c,0x24,0x64,0x24,0x3c,0x00], # Q
[0x7c,0x14,0x14,0x14,0x68,0x00], # R
[0x5c,0x54,0x54,0x54,0x74,0x00], # S
[0x04,0x04,0x7c,0x04,0x04,0x00], # T
[0x7c,0x40,0x40,0x40,0x7c,0x00], # U
[0x0c,0x30,0x40,0x30,0x0c,0x00], # V
[0x3c,0x40,0x30,0x40,0x3c,0x00], # W
[0x44,0x28,0x10,0x28,0x44,0x00], # X
[0x0c,0x10,0x60,0x10,0x0c,0x00], # Y
[0x44,0x64,0x54,0x4c,0x44,0x00], # Z
[0x7c,0x44,0x00,0x00,0x00,0x00], # [
[0x0c,0x10,0x60,0x00,0x00,0x00], # "\"
[0x44,0x7c,0x00,0x00,0x00,0x00], # ]
[0x00,0x01,0x00,0x01,0x00,0x00], # ^
[0x40,0x40,0x40,0x40,0x40,0x40], # _
[0x00,0x01,0x00,0x00,0x00,0x00], # `
[0x7c,0x24,0x24,0x24,0x7c,0x00], # a
[0x7c,0x54,0x54,0x54,0x6c,0x00], # b
[0x7c,0x44,0x44,0x44,0x44,0x00], # c
[0x7c,0x44,0x44,0x44,0x38,0x00], # d
[0x7c,0x54,0x54,0x54,0x44,0x00], # e
[0x7c,0x14,0x14,0x14,0x04,0x00], # f
[0x7c,0x44,0x44,0x54,0x74,0x00], # g
[0x7c,0x10,0x10,0x10,0x7c,0x00], # h
[0x44,0x44,0x7c,0x44,0x44,0x00], # i
[0x60,0x40,0x40,0x44,0x7c,0x00], # j
[0x7c,0x10,0x10,0x28,0x44,0x00], # k
[0x7c,0x40,0x40,0x40,0x40,0x00], # l
[0x7c,0x08,0x10,0x08,0x7c,0x00], # m
[0x7c,0x08,0x10,0x20,0x7c,0x00], # n
[0x38,0x44,0x44,0x44,0x38,0x00], # o
[0x7c,0x14,0x14,0x14,0x08,0x00], # p
[0x3c,0x24,0x64,0x24,0x3c,0x00], # q
[0x7c,0x14,0x14,0x14,0x68,0x00], # r
[0x5c,0x54,0x54,0x54,0x74,0x00], # s
[0x04,0x04,0x7c,0x04,0x04,0x00], # t
[0x7c,0x40,0x40,0x40,0x7c,0x00], # u
[0x0c,0x30,0x40,0x30,0x0c,0x00], # v
[0x3c,0x40,0x30,0x40,0x3c,0x00], # w
[0x44,0x28,0x10,0x28,0x44,0x00], # x
[0x0c,0x10,0x60,0x10,0x0c,0x00], # y
[0x44,0x64,0x54,0x4c,0x44,0x00], # z
[0x10,0x7c,0x44,0x00,0x00,0x00], # [
[0x6c,0x00,0x00,0x00,0x00,0x00], # |
[0x44,0x7c,0x10,0x00,0x00,0x00], # ]
[0x02,0x01,0x02,0x01,0x00,0x00], # ~
[0x00,0x00,0x00,0x00,0x00,0x00]
]
font_7x13 = [
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00],# space :32 0
[0x00, 0x00, 0x18, 0x18, 0x00, 0x00, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18],# ! :33
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x36, 0x36, 0x36, 0x36],
[0x00, 0x00, 0x00, 0x66, 0x66, 0xff, 0x66, 0x66, 0xff, 0x66, 0x66, 0x00, 0x00],
[0x00, 0x00, 0x18, 0x7e, 0xff, 0x1b, 0x1f, 0x7e, 0xf8, 0xd8, 0xff, 0x7e, 0x18],
[0x00, 0x00, 0x0e, 0x1b, 0xdb, 0x6e, 0x30, 0x18, 0x0c, 0x76, 0xdb, 0xd8, 0x70],
[0x00, 0x00, 0x7f, 0xc6, 0xcf, 0xd8, 0x70, 0x70, 0xd8, 0xcc, 0xcc, 0x6c, 0x38],
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x18, 0x1c, 0x0c, 0x0e],
[0x00, 0x00, 0x0c, 0x18, 0x30, 0x30, 0x30, 0x30, 0x30, 0x30, 0x30, 0x18, 0x0c],
[0x00, 0x00, 0x30, 0x18, 0x0c, 0x0c, 0x0c, 0x0c, 0x0c, 0x0c, 0x0c, 0x18, 0x30],
[0x00, 0x00, 0x00, 0x00, 0x99, 0x5a, 0x3c, 0xff, 0x3c, 0x5a, 0x99, 0x00, 0x00],
[0x00, 0x00, 0x00, 0x18, 0x18, 0x18, 0xff, 0xff, 0x18, 0x18, 0x18, 0x00, 0x00],
[0x00, 0x00, 0x30, 0x18, 0x1c, 0x1c, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00],
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0x00, 0x00, 0x00, 0x00, 0x00],
[0x00, 0x00, 0x00, 0x38, 0x38, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00],
[0x00, 0x60, 0x60, 0x30, 0x30, 0x18, 0x18, 0x0c, 0x0c, 0x06, 0x06, 0x03, 0x03],
[0x00, 0x00, 0x3c, 0x66, 0xc3, 0xe3, 0xf3, 0xdb, 0xcf, 0xc7, 0xc3, 0x66, 0x3c],
[0x00, 0x00, 0x7e, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x78, 0x38, 0x18],
[0x00, 0x00, 0xff, 0xc0, 0xc0, 0x60, 0x30, 0x18, 0x0c, 0x06, 0x03, 0xe7, 0x7e],
[0x00, 0x00, 0x7e, 0xe7, 0x03, 0x03, 0x07, 0x7e, 0x07, 0x03, 0x03, 0xe7, 0x7e],
[0x00, 0x00, 0x0c, 0x0c, 0x0c, 0x0c, 0x0c, 0xff, 0xcc, 0x6c, 0x3c, 0x1c, 0x0c],
[0x00, 0x00, 0x7e, 0xe7, 0x03, 0x03, 0x07, 0xfe, 0xc0, 0xc0, 0xc0, 0xc0, 0xff],
[0x00, 0x00, 0x7e, 0xe7, 0xc3, 0xc3, 0xc7, 0xfe, 0xc0, 0xc0, 0xc0, 0xe7, 0x7e],
[0x00, 0x00, 0x30, 0x30, 0x30, 0x30, 0x18, 0x0c, 0x06, 0x03, 0x03, 0x03, 0xff],
[0x00, 0x00, 0x7e, 0xe7, 0xc3, 0xc3, 0xe7, 0x7e, 0xe7, 0xc3, 0xc3, 0xe7, 0x7e],
[0x00, 0x00, 0x7e, 0xe7, 0x03, 0x03, 0x03, 0x7f, 0xe7, 0xc3, 0xc3, 0xe7, 0x7e],
[0x00, 0x00, 0x00, 0x38, 0x38, 0x00, 0x00, 0x38, 0x38, 0x00, 0x00, 0x00, 0x00],
[0x00, 0x00, 0x30, 0x18, 0x1c, 0x1c, 0x00, 0x00, 0x1c, 0x1c, 0x00, 0x00, 0x00],
[0x00, 0x00, 0x06, 0x0c, 0x18, 0x30, 0x60, 0xc0, 0x60, 0x30, 0x18, 0x0c, 0x06],
[0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0x00, 0xff, 0xff, 0x00, 0x00, 0x00, 0x00],
[0x00, 0x00, 0x60, 0x30, 0x18, 0x0c, 0x06, 0x03, 0x06, 0x0c, 0x18, 0x30, 0x60],
[0x00, 0x00, 0x18, 0x00, 0x00, 0x18, 0x18, 0x0c, 0x06, 0x03, 0xc3, 0xc3, 0x7e],
[0x00, 0x00, 0x3f, 0x60, 0xcf, 0xdb, 0xd3, 0xdd, 0xc3, 0x7e, 0x00, 0x00, 0x00],
[0x00, 0x00, 0xc3, 0xc3, 0xc3, 0xc3, 0xff, 0xc3, 0xc3, 0xc3, 0x66, 0x3c, 0x18],
[0x00, 0x00, 0xfe, 0xc7, 0xc3, 0xc3, 0xc7, 0xfe, 0xc7, 0xc3, 0xc3, 0xc7, 0xfe],
[0x00, 0x00, 0x7e, 0xe7, 0xc0, 0xc0, 0xc0, 0xc0, 0xc0, 0xc0, 0xc0, 0xe7, 0x7e],
[0x00, 0x00, 0xfc, 0xce, 0xc7, 0xc3, 0xc3, 0xc3, 0xc3, 0xc3, 0xc7, 0xce, 0xfc],
[0x00, 0x00, 0xff, 0xc0, 0xc0, 0xc0, 0xc0, 0xfc, 0xc0, 0xc0, 0xc0, 0xc0, 0xff],
[0x00, 0x00, 0xc0, 0xc0, 0xc0, 0xc0, 0xc0, 0xc0, 0xfc, 0xc0, 0xc0, 0xc0, 0xff],
[0x00, 0x00, 0x7e, 0xe7, 0xc3, 0xc3, 0xcf, 0xc0, 0xc0, 0xc0, 0xc0, 0xe7, 0x7e],
[0x00, 0x00, 0xc3, 0xc3, 0xc3, 0xc3, 0xc3, 0xff, 0xc3, 0xc3, 0xc3, 0xc3, 0xc3],
[0x00, 0x00, 0x7e, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x7e],
[0x00, 0x00, 0x7c, 0xee, 0xc6, 0x06, 0x06, 0x06, 0x06, 0x06, 0x06, 0x06, 0x06],
[0x00, 0x00, 0xc3, 0xc6, 0xcc, 0xd8, 0xf0, 0xe0, 0xf0, 0xd8, 0xcc, 0xc6, 0xc3],
[0x00, 0x00, 0xff, 0xc0, 0xc0, 0xc0, 0xc0, 0xc0, 0xc0, 0xc0, 0xc0, 0xc0, 0xc0],
[0x00, 0x00, 0xc3, 0xc3, 0xc3, 0xc3, 0xc3, 0xc3, 0xdb, 0xff, 0xff, 0xe7, 0xc3],
[0x00, 0x00, 0xc7, 0xc7, 0xcf, 0xcf, 0xdf, 0xdb, 0xfb, 0xf3, 0xf3, 0xe3, 0xe3],
[0x00, 0x00, 0x7e, 0xe7, 0xc3, 0xc3, 0xc3, 0xc3, 0xc3, 0xc3, 0xc3, 0xe7, 0x7e],
[0x00, 0x00, 0xc0, 0xc0, 0xc0, 0xc0, 0xc0, 0xfe, 0xc7, 0xc3, 0xc3, 0xc7, 0xfe],
[0x00, 0x00, 0x3f, 0x6e, 0xdf, 0xdb, 0xc3, 0xc3, 0xc3, 0xc3, 0xc3, 0x66, 0x3c],
[0x00, 0x00, 0xc3, 0xc6, 0xcc, 0xd8, 0xf0, 0xfe, 0xc7, 0xc3, 0xc3, 0xc7, 0xfe],
[0x00, 0x00, 0x7e, 0xe7, 0x03, 0x03, 0x07, 0x7e, 0xe0, 0xc0, 0xc0, 0xe7, 0x7e],
[0x00, 0x00, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0xff],
[0x00, 0x00, 0x7e, 0xe7, 0xc3, 0xc3, 0xc3, 0xc3, 0xc3, 0xc3, 0xc3, 0xc3, 0xc3],
[0x00, 0x00, 0x18, 0x3c, 0x3c, 0x66, 0x66, 0xc3, 0xc3, 0xc3, 0xc3, 0xc3, 0xc3],
[0x00, 0x00, 0xc3, 0xe7, 0xff, 0xff, 0xdb, 0xdb, 0xc3, 0xc3, 0xc3, 0xc3, 0xc3],
[0x00, 0x00, 0xc3, 0x66, 0x66, 0x3c, 0x3c, 0x18, 0x3c, 0x3c, 0x66, 0x66, 0xc3],
[0x00, 0x00, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x3c, 0x3c, 0x66, 0x66, 0xc3],
[0x00, 0x00, 0xff, 0xc0, 0xc0, 0x60, 0x30, 0x7e, 0x0c, 0x06, 0x03, 0x03, 0xff],
[0x00, 0x00, 0x3c, 0x30, 0x30, 0x30, 0x30, 0x30, 0x30, 0x30, 0x30, 0x30, 0x3c],
[0x00, 0x03, 0x03, 0x06, 0x06, 0x0c, 0x0c, 0x18, 0x18, 0x30, 0x30, 0x60, 0x60],
[0x00, 0x00, 0x3c, 0x0c, 0x0c, 0x0c, 0x0c, 0x0c, 0x0c, 0x0c, 0x0c, 0x0c, 0x3c],
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xc3, 0x66, 0x3c, 0x18],
[0xff, 0xff, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00],
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x18, 0x38, 0x30, 0x70],
[0x00, 0x00, 0x7f, 0xc3, 0xc3, 0x7f, 0x03, 0xc3, 0x7e, 0x00, 0x00, 0x00, 0x00],
[0x00, 0x00, 0xfe, 0xc3, 0xc3, 0xc3, 0xc3, 0xfe, 0xc0, 0xc0, 0xc0, 0xc0, 0xc0],
[0x00, 0x00, 0x7e, 0xc3, 0xc0, 0xc0, 0xc0, 0xc3, 0x7e, 0x00, 0x00, 0x00, 0x00],
[0x00, 0x00, 0x7f, 0xc3, 0xc3, 0xc3, 0xc3, 0x7f, 0x03, 0x03, 0x03, 0x03, 0x03],
[0x00, 0x00, 0x7f, 0xc0, 0xc0, 0xfe, 0xc3, 0xc3, 0x7e, 0x00, 0x00, 0x00, 0x00],
[0x00, 0x00, 0x30, 0x30, 0x30, 0x30, 0x30, 0xfc, 0x30, 0x30, 0x30, 0x33, 0x1e],
[0x7e, 0xc3, 0x03, 0x03, 0x7f, 0xc3, 0xc3, 0xc3, 0x7e, 0x00, 0x00, 0x00, 0x00],
[0x00, 0x00, 0xc3, 0xc3, 0xc3, 0xc3, 0xc3, 0xc3, 0xfe, 0xc0, 0xc0, 0xc0, 0xc0],
[0x00, 0x00, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x00, 0x00, 0x18, 0x00],
[0x38, 0x6c, 0x0c, 0x0c, 0x0c, 0x0c, 0x0c, 0x0c, 0x0c, 0x00, 0x00, 0x0c, 0x00],
[0x00, 0x00, 0xc6, 0xcc, 0xf8, 0xf0, 0xd8, 0xcc, 0xc6, 0xc0, 0xc0, 0xc0, 0xc0],
[0x00, 0x00, 0x7e, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x78],
[0x00, 0x00, 0xdb, 0xdb, 0xdb, 0xdb, 0xdb, 0xdb, 0xfe, 0x00, 0x00, 0x00, 0x00],
[0x00, 0x00, 0xc6, 0xc6, 0xc6, 0xc6, 0xc6, 0xc6, 0xfc, 0x00, 0x00, 0x00, 0x00],
[0x00, 0x00, 0x7c, 0xc6, 0xc6, 0xc6, 0xc6, 0xc6, 0x7c, 0x00, 0x00, 0x00, 0x00],
[0xc0, 0xc0, 0xc0, 0xfe, 0xc3, 0xc3, 0xc3, 0xc3, 0xfe, 0x00, 0x00, 0x00, 0x00],
[0x03, 0x03, 0x03, 0x7f, 0xc3, 0xc3, 0xc3, 0xc3, 0x7f, 0x00, 0x00, 0x00, 0x00],
[0x00, 0x00, 0xc0, 0xc0, 0xc0, 0xc0, 0xc0, 0xe0, 0xfe, 0x00, 0x00, 0x00, 0x00],
[0x00, 0x00, 0xfe, 0x03, 0x03, 0x7e, 0xc0, 0xc0, 0x7f, 0x00, 0x00, 0x00, 0x00],
[0x00, 0x00, 0x1c, 0x36, 0x30, 0x30, 0x30, 0x30, 0xfc, 0x30, 0x30, 0x30, 0x00],
[0x00, 0x00, 0x7e, 0xc6, 0xc6, 0xc6, 0xc6, 0xc6, 0xc6, 0x00, 0x00, 0x00, 0x00],
[0x00, 0x00, 0x18, 0x3c, 0x3c, 0x66, 0x66, 0xc3, 0xc3, 0x00, 0x00, 0x00, 0x00],
[0x00, 0x00, 0xc3, 0xe7, 0xff, 0xdb, 0xc3, 0xc3, 0xc3, 0x00, 0x00, 0x00, 0x00],
[0x00, 0x00, 0xc3, 0x66, 0x3c, 0x18, 0x3c, 0x66, 0xc3, 0x00, 0x00, 0x00, 0x00],
[0xc0, 0x60, 0x60, 0x30, 0x18, 0x3c, 0x66, 0x66, 0xc3, 0x00, 0x00, 0x00, 0x00],
[0x00, 0x00, 0xff, 0x60, 0x30, 0x18, 0x0c, 0x06, 0xff, 0x00, 0x00, 0x00, 0x00],
[0x00, 0x00, 0x0f, 0x18, 0x18, 0x18, 0x38, 0xf0, 0x38, 0x18, 0x18, 0x18, 0x0f],
[0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18],
[0x00, 0x00, 0xf0, 0x18, 0x18, 0x18, 0x1c, 0x0f, 0x1c, 0x18, 0x18, 0x18, 0xf0],
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x8f, 0xf1, 0x60, 0x00, 0x00, 0x00]
] # :126
| 57.380711 | 92 | 0.649062 | 1,882 | 11,304 | 3.896918 | 0.062699 | 0.374148 | 0.361603 | 0.344696 | 0.775566 | 0.667576 | 0.589037 | 0.47832 | 0.381783 | 0.311426 | 0 | 0.485676 | 0.144639 | 11,304 | 196 | 93 | 57.673469 | 0.272831 | 0.018666 | 0 | 0.266667 | 0 | 0 | 0 | 0 | 0 | 0 | 0.659085 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 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 |
da3e7985da6fe7af1743ec9a51897e69a8ad933b | 79 | py | Python | faceformer/models/__init__.py | manycore-research/faceformer | d0dd196013db034ecd74c3150aed2b89e4a84fc3 | [
"MIT"
] | 27 | 2022-03-04T15:37:41.000Z | 2022-03-30T08:20:47.000Z | faceformer/models/__init__.py | manycore-research/faceformer | d0dd196013db034ecd74c3150aed2b89e4a84fc3 | [
"MIT"
] | null | null | null | faceformer/models/__init__.py | manycore-research/faceformer | d0dd196013db034ecd74c3150aed2b89e4a84fc3 | [
"MIT"
] | 2 | 2022-03-10T05:47:08.000Z | 2022-03-10T18:48:48.000Z | from .model import SurfaceFormer
from .model_para import SurfaceFormer_Parallel | 39.5 | 46 | 0.886076 | 10 | 79 | 6.8 | 0.6 | 0.264706 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.088608 | 79 | 2 | 46 | 39.5 | 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 |
e54082d4f9dfd2235250b4dda22fdd8b665b0bd7 | 41 | py | Python | inverse_covariance/pyquic/__init__.py | aldanor/skggm | d2e29d692d1654285653ab07fd24534628fcb076 | [
"MIT"
] | 199 | 2016-10-21T14:36:02.000Z | 2022-03-29T20:59:08.000Z | inverse_covariance/pyquic/__init__.py | aldanor/skggm | d2e29d692d1654285653ab07fd24534628fcb076 | [
"MIT"
] | 66 | 2016-10-17T01:47:28.000Z | 2022-03-06T11:02:56.000Z | inverse_covariance/pyquic/__init__.py | aldanor/skggm | d2e29d692d1654285653ab07fd24534628fcb076 | [
"MIT"
] | 36 | 2016-10-15T23:42:10.000Z | 2022-03-06T00:03:13.000Z | from .pyquic import quic # NOQA # NOQA
| 20.5 | 40 | 0.682927 | 6 | 41 | 4.666667 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.243902 | 41 | 1 | 41 | 41 | 0.903226 | 0.268293 | 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 |
e5a8c8ecb432638a6b5bf5c0b1672a3962ecbdca | 39,224 | py | Python | tests/vmf_converter_test.py | project-schumann/nmf-converter-core | 31592bdcf75e4a09e60848be0024c0f2c331e2f6 | [
"MIT"
] | null | null | null | tests/vmf_converter_test.py | project-schumann/nmf-converter-core | 31592bdcf75e4a09e60848be0024c0f2c331e2f6 | [
"MIT"
] | 37 | 2015-01-20T19:05:12.000Z | 2015-05-09T13:28:02.000Z | tests/vmf_converter_test.py | project-schumann/vmf-converter | 31592bdcf75e4a09e60848be0024c0f2c331e2f6 | [
"MIT"
] | null | null | null | import unittest
import json
from music21 import converter
from music21 import duration
from music21.chord import Chord
from music21.meter import TimeSignature
from music21.note import Note, Rest
from music21.key import KeySignature
from music21.tempo import MetronomeMark
from vmf_converter.core import vmf_converter_core
class vmfConverterTest(unittest.TestCase):
"""Test Class for vmf_converter_core module"""
def test_convert_score_to_vmf_001(self):
"""
Tests the conversion of a score stream to an vmf data structure.
"""
score = converter.parse('./fixtures/simple.mid')
first_phrase = score.measures(0, 2)
actual = vmf_converter_core.convert_score_to_vmf(first_phrase)
with open('./expected/simple.vmf', 'r') as expected_file:
expected_json = expected_file.read()
expected = json.loads(expected_json)
assert expected == actual
def test_convert_score_to_vmf_002(self):
"""
Tests the conversion of a score stream with ties to a vmf data structure.
"""
score = converter.parse('./fixtures/ties.mid')
first_phrase = score.measures(0, 2)
actual = vmf_converter_core.convert_score_to_vmf(first_phrase)
with open('./expected/ties.vmf', 'r') as expected_file:
expected_json = expected_file.read()
expected = json.loads(expected_json)
assert expected == actual
def test_convert_score_to_vmf_003(self):
"""
Tests the conversion of a score stream with triplets to a vmf data structure.
"""
score = converter.parse('./fixtures/triplets.mid')
first_phrase = score.measures(0, 2)
actual = vmf_converter_core.convert_score_to_vmf(first_phrase)
with open('./expected/triplets.vmf', 'r') as expected_file:
expected_json = expected_file.read()
expected = json.loads(expected_json)
assert expected == actual
def test_convert_score_to_vmf_004(self):
"""
Tests the conversion of a score stream with duplets to a vmf data structure.
"""
score = converter.parse('./fixtures/duplets.mid')
first_phrase = score.measures(0, 2)
actual = vmf_converter_core.convert_score_to_vmf(first_phrase)
with open('./expected/duplets.vmf', 'r') as expected_file:
expected_json = expected_file.read()
expected = json.loads(expected_json)
assert expected == actual
def test_convert_score_to_vmf_005(self):
"""
Tests the conversion of a score stream with quintuplets to a vmf data structure.
"""
score = converter.parse('./fixtures/quintuplets.xml')
first_phrase = score.measures(0, 2)
actual = vmf_converter_core.convert_score_to_vmf(first_phrase)
with open('./expected/quintuplets.vmf', 'r') as expected_file:
expected_json = expected_file.read()
expected = json.loads(expected_json)
assert expected == actual
def test_convert_score_to_vmf_006(self):
"""
Tests the conversion of a score stream with a simple to simple meter change to a vmf data structure.
"""
score = converter.parse('./fixtures/SimpleToSimple.mid')
first_phrase = score.measures(0, 2)
actual = vmf_converter_core.convert_score_to_vmf(first_phrase)
with open('./expected/SimpleToSimple.vmf', 'r') as expected_file:
expected_json = expected_file.read()
expected = json.loads(expected_json)
print(actual)
assert expected == actual
def test_convert_score_to_vmf_007(self):
"""
Tests the conversion of a score stream with a compound to compound meter change to a vmf data structure.
"""
score = converter.parse('./fixtures/CompoundToCompound.mid')
first_phrase = score.measures(0, 2)
actual = vmf_converter_core.convert_score_to_vmf(first_phrase)
with open('./expected/CompoundToCompound.vmf', 'r') as expected_file:
expected_json = expected_file.read()
expected = json.loads(expected_json)
print(actual)
assert expected == actual
def test_convert_score_to_vmf_008(self):
"""
Tests the conversion of a score stream with a simple to compound meter change to a vmf data structure.
"""
score = converter.parse('./fixtures/SimpleToCompound.mid')
first_phrase = score.measures(0, 2)
actual = vmf_converter_core.convert_score_to_vmf(first_phrase)
with open('./expected/SimpleToCompound.vmf', 'r') as expected_file:
expected_json = expected_file.read()
expected = json.loads(expected_json)
assert expected == actual
def test_convert_score_to_vmf_009(self):
"""
Tests the conversion of a score stream with a compound to simple meter change to a vmf data structure.
"""
score = converter.parse('./fixtures/CompoundToSimple.mid')
first_phrase = score.measures(0, 2)
actual = vmf_converter_core.convert_score_to_vmf(first_phrase)
with open('./expected/CompoundToSimple.vmf', 'r') as expected_file:
expected_json = expected_file.read()
expected = json.loads(expected_json)
assert expected == actual
def test_convert_score_to_vmf_010(self):
"""
Tests the conversion of a score stream with chords to a vmf data structure.
"""
score = converter.parse('./fixtures/chords.mid')
first_phrase = score.measures(0, 2)
actual = vmf_converter_core.convert_score_to_vmf(first_phrase)
with open('./expected/chords.vmf', 'r') as expected_file:
expected_json = expected_file.read()
expected = json.loads(expected_json)
assert expected == actual
def test_convert_score_to_vmf_011(self):
"""
Tests the conversion of a score stream with multiple voices to a vmf data structure.
"""
score = converter.parse('./fixtures/voices.mid')
first_phrase = score.measures(0, 2)
actual = vmf_converter_core.convert_score_to_vmf(first_phrase)
with open('./expected/voices.vmf', 'r') as expected_file:
expected_json = expected_file.read()
expected = json.loads(expected_json)
assert expected == actual
def test_convert_score_to_vmf_012(self):
"""
Tests the conversion of a score stream with dynamics to a vmf data structure.
"""
score = converter.parse('./fixtures/dynamics.mid')
first_phrase = score.measures(0, 5)
actual = vmf_converter_core.convert_score_to_vmf(first_phrase)
with open('./expected/dynamics.vmf', 'r') as expected_file:
expected_json = expected_file.read()
expected = json.loads(expected_json)
assert expected == actual
def test_convert_score_to_vmf_013(self):
"""
Tests the conversion of a score stream with dynamics to a vmf data structure.
"""
score = converter.parse('./fixtures/dottedQuarter.mid')
first_phrase = score.measures(0, 2)
actual = vmf_converter_core.convert_score_to_vmf(first_phrase)
with open('./expected/dottedQuarter.vmf', 'r') as expected_file:
expected_json = expected_file.read()
expected = json.loads(expected_json)
assert expected == actual
def test_convert_score_to_vmf_014(self):
"""
Tests a key signature change.
"""
score = converter.parse('./fixtures/keyChange.mid')
actual = vmf_converter_core.convert_score_to_vmf(score)
with open('./expected/keyChange.vmf', 'r') as expected_file:
expected_json = expected_file.read()
expected = json.loads(expected_json)
assert expected == actual
def test_convert_score_to_vmf_015(self):
"""
Tests a tempo change.
"""
score = converter.parse('./fixtures/tempoChange.mid')
actual = vmf_converter_core.convert_score_to_vmf(score)
with open('./expected/tempoChange.vmf', 'r') as expected_file:
expected_json = expected_file.read()
expected = json.loads(expected_json)
assert expected == actual
def test_convert_score_to_vmf_016(self):
"""
Tests an explicit anacrusis.
"""
score = converter.parse('./fixtures/anacrusis2.xml')
actual = vmf_converter_core.convert_score_to_vmf(score)
with open('./expected/anacrusis.vmf', 'r') as expected_file:
expected_json = expected_file.read()
expected = json.loads(expected_json)
assert expected == actual
def test_convert_score_to_vmf_017(self):
"""
Tests the conversion of a score stream with chords and sustained notes..
"""
score = converter.parse('./fixtures/chordsAndSustain.xml')
actual = vmf_converter_core.convert_score_to_vmf(score)
with open('./expected/chordsAndSustain.vmf', 'r') as expected_file:
expected_json = expected_file.read()
expected = json.loads(expected_json)
assert expected == actual
def test_convert_score_to_vmf_018(self):
"""
Tests the conversion of a score stream with syncopated chords..
"""
score = converter.parse('./fixtures/syncopated.xml')
actual = vmf_converter_core.convert_score_to_vmf(score)
with open('./expected/syncopated.vmf', 'r') as expected_file:
expected_json = expected_file.read()
expected = json.loads(expected_json)
assert expected == actual
def test_scan_score_durations_001(self):
"""
Tests the scanning function which pre-analyzes the score to determine the
smallest necessary note value to accurately encode the score as a vmf.
"""
score = converter.parse('./fixtures/aus_meines_herz.mid')
shortest_duration = vmf_converter_core.scan_score_durations(score)
assert shortest_duration == duration.convertTypeToQuarterLength('eighth')
def test_scan_score_for_largest_chord_001(self):
"""
Tests the scanning function which pre-analyzes the score to determine the
largest chord size.
"""
score = converter.parse('./fixtures/chords.mid')
largest_chord_size = vmf_converter_core.scan_score_for_largest_chord(score)
assert largest_chord_size == 3
def test_scan_score_for_number_of_voices_001(self):
"""
Tests the scanning function which pre-analyzes the score to determine the
number of voices in each part.
"""
score = converter.parse('./fixtures/voices.mid')
first_phrase = score.measures(0, 2)
number_of_parts = vmf_converter_core.scan_score_for_number_of_voices(first_phrase)
assert number_of_parts == 3
def test_convert_vmf_to_midi_001(self):
"""
Tests the conversion of a simple vmf file to a midi file.
"""
actual_score = vmf_converter_core.read_vmf_file('./expected/simple.vmf')
expected_score = converter.parse('./fixtures/simple.mid')
# Assert that the file has the right number of parts.
assert len(expected_score.parts) == len(actual_score.parts)
# Assert that the notes and rests match
for expected, actual in zip(expected_score.parts, actual_score.parts):
for expected_element, actual_element in zip(expected.flat.notesAndRests.elements, actual.flat.notesAndRests.elements):
if type(expected_element) is Note:
assert expected_element.quarterLength == actual_element.quarterLength
assert expected_element.pitch.pitchClass == actual_element.pitch.pitchClass
assert expected_element.pitch.octave == actual_element.pitch.octave
elif type(expected_element) is Rest:
assert expected_element.quarterLength == actual_element.quarterLength
def test_convert_vmf_to_midi_002(self):
"""
Tests the conversion of a vmf file with ties to a midi file.
"""
actual_score = vmf_converter_core.read_vmf_file('./expected/ties.vmf')
expected_score = converter.parse('./fixtures/ties.mid')
# Assert that the file has the right number of parts.
assert len(expected_score.parts) == len(actual_score.parts)
# Assert that the notes and rests match
for expected, actual in zip(expected_score.parts, actual_score.parts):
for expected_element, actual_element in zip(expected.flat.notesAndRests.elements, actual.flat.notesAndRests.elements):
if type(expected_element) is Note:
assert expected_element.quarterLength == actual_element.quarterLength
assert expected_element.pitch.pitchClass == actual_element.pitch.pitchClass
assert expected_element.pitch.octave == actual_element.pitch.octave
elif type(expected_element) is Rest:
assert expected_element.quarterLength == actual_element.quarterLength
def test_convert_vmf_to_midi_003(self):
"""
Tests the conversion of a vmf file with rhythmic dots to a midi file.
"""
actual_score = vmf_converter_core.read_vmf_file('./expected/dottedQuarter.vmf')
expected_score = converter.parse('./fixtures/dottedQuarter.mid')
# Assert that the file has the right number of parts.
assert len(expected_score.parts) == len(actual_score.parts)
# Assert that the notes and rests match
for expected, actual in zip(expected_score.parts, actual_score.parts):
for expected_element, actual_element in zip(expected.flat.notesAndRests.elements, actual.flat.notesAndRests.elements):
if type(expected_element) is Note:
assert expected_element.quarterLength == actual_element.quarterLength
assert expected_element.pitch.pitchClass == actual_element.pitch.pitchClass
assert expected_element.pitch.octave == actual_element.pitch.octave
elif type(expected_element) is Rest:
assert expected_element.quarterLength == actual_element.quarterLength
def test_convert_vmf_to_midi_004(self):
"""
Tests the conversion of a vmf file with triplets to a midi file.
"""
actual_score = vmf_converter_core.read_vmf_file('./expected/triplets.vmf')
expected_score = converter.parse('./fixtures/triplets.mid')
# Assert that the file has the right number of parts.
assert len(expected_score.parts) == len(actual_score.parts)
# Assert that the notes and rests match
for expected, actual in zip(expected_score.parts, actual_score.parts):
for expected_element, actual_element in zip(expected.flat.notesAndRests.elements, actual.flat.notesAndRests.elements):
if type(expected_element) is Note:
assert expected_element.quarterLength == actual_element.quarterLength
assert expected_element.pitch.pitchClass == actual_element.pitch.pitchClass
assert expected_element.pitch.octave == actual_element.pitch.octave
elif type(expected_element) is Rest:
assert expected_element.quarterLength == actual_element.quarterLength
def test_convert_vmf_to_midi_005(self):
"""
Tests the conversion of a vmf file with duplets to a midi file.
"""
actual_score = vmf_converter_core.read_vmf_file('./expected/duplets.vmf')
expected_score = converter.parse('./fixtures/duplets.mid')
# Assert that the file has the right number of parts.
assert len(expected_score.parts) == len(actual_score.parts)
# Assert that the notes and rests match
for expected, actual in zip(expected_score.parts, actual_score.parts):
for expected_element, actual_element in zip(expected.flat.notesAndRests.elements, actual.flat.notesAndRests.elements):
if type(expected_element) is Note:
assert expected_element.quarterLength == actual_element.quarterLength
assert expected_element.pitch.pitchClass == actual_element.pitch.pitchClass
assert expected_element.pitch.octave == actual_element.pitch.octave
elif type(expected_element) is Rest:
assert expected_element.quarterLength == actual_element.quarterLength
def test_convert_vmf_to_midi_006(self):
"""
Tests the conversion of a vmf file with a simple to simple meter change to a midi file.
"""
actual_score = vmf_converter_core.read_vmf_file('./expected/SimpleToSimple.vmf')
expected_score = converter.parse('./fixtures/SimpleToSimple.mid')
# Assert that the file has the right number of parts.
assert len(expected_score.parts) == len(actual_score.parts)
# Assert that the notes and rests match
for expected, actual in zip(expected_score.parts, actual_score.parts):
for expected_element, actual_element in zip(expected.flat.notesAndRests.elements, actual.flat.notesAndRests.elements):
if type(expected_element) is Note:
assert expected_element.quarterLength == actual_element.quarterLength
assert expected_element.pitch.pitchClass == actual_element.pitch.pitchClass
assert expected_element.pitch.octave == actual_element.pitch.octave
elif type(expected_element) is Rest:
assert expected_element.quarterLength == actual_element.quarterLength
# Check that the time signatures are encoded.
expected_time_signatures = expected_score.flat.getElementsByClass(TimeSignature)
actual_time_signatures = actual_score.flat.getElementsByClass(TimeSignature)
# Ensure we have the right number of time signatures.
assert len(expected_time_signatures) == len(actual_time_signatures)
for expected, actual in zip(expected_time_signatures, actual_time_signatures):
assert expected.ratioString == actual.ratioString
assert expected.offset == actual.offset
def test_convert_vmf_to_midi_007(self):
"""
Tests the conversion of a vmf file with a compound to compound meter change to a midi file.
"""
actual_score = vmf_converter_core.read_vmf_file('./expected/CompoundToCompound.vmf')
expected_score = converter.parse('./fixtures/CompoundToCompound.mid')
# Assert that the file has the right number of parts.
assert len(expected_score.parts) == len(actual_score.parts)
# Assert that the notes and rests match
for expected, actual in zip(expected_score.parts, actual_score.parts):
for expected_element, actual_element in zip(expected.flat.notesAndRests.elements, actual.flat.notesAndRests.elements):
if type(expected_element) is Note:
assert expected_element.quarterLength == actual_element.quarterLength
assert expected_element.pitch.pitchClass == actual_element.pitch.pitchClass
assert expected_element.pitch.octave == actual_element.pitch.octave
elif type(expected_element) is Rest:
assert expected_element.quarterLength == actual_element.quarterLength
# Check that the time signatures are encoded.
expected_time_signatures = expected_score.flat.getElementsByClass(TimeSignature)
actual_time_signatures = actual_score.flat.getElementsByClass(TimeSignature)
# Ensure we have the right number of time signatures.
assert len(expected_time_signatures) == len(actual_time_signatures)
for expected, actual in zip(expected_time_signatures, actual_time_signatures):
assert expected.ratioString == actual.ratioString
assert expected.offset == actual.offset
def test_convert_vmf_to_midi_008(self):
"""
Tests the conversion of a vmf file with a simple to compound meter change to a midi file.
"""
actual_score = vmf_converter_core.read_vmf_file('./expected/SimpleToCompound.vmf')
expected_score = converter.parse('./fixtures/SimpleToCompound.mid')
# Assert that the file has the right number of parts.
assert len(expected_score.parts) == len(actual_score.parts)
# Assert that the notes and rests match
for expected, actual in zip(expected_score.parts, actual_score.parts):
for expected_element, actual_element in zip(expected.flat.notesAndRests.elements, actual.flat.notesAndRests.elements):
if type(expected_element) is Note:
assert expected_element.quarterLength == actual_element.quarterLength
assert expected_element.pitch.pitchClass == actual_element.pitch.pitchClass
assert expected_element.pitch.octave == actual_element.pitch.octave
elif type(expected_element) is Rest:
assert expected_element.quarterLength == actual_element.quarterLength
# Check that the time signatures are encoded.
expected_time_signatures = expected_score.flat.getElementsByClass(TimeSignature)
actual_time_signatures = actual_score.flat.getElementsByClass(TimeSignature)
# Ensure we have the right number of time signatures.
assert len(expected_time_signatures) == len(actual_time_signatures)
for expected, actual in zip(expected_time_signatures, actual_time_signatures):
assert expected.ratioString == actual.ratioString
assert expected.offset == actual.offset
def test_convert_vmf_to_midi_009(self):
"""
Tests the conversion of a vmf file with a compound to simple meter change to a midi file.
"""
actual_score = vmf_converter_core.read_vmf_file('./expected/CompoundToSimple.vmf')
expected_score = converter.parse('./fixtures/CompoundToSimple.mid')
# Assert that the file has the right number of parts.
assert len(expected_score.parts) == len(actual_score.parts)
# Assert that the notes and rests match
for expected, actual in zip(expected_score.parts, actual_score.parts):
for expected_element, actual_element in zip(expected.flat.notesAndRests.elements, actual.flat.notesAndRests.elements):
if type(expected_element) is Note:
assert expected_element.quarterLength == actual_element.quarterLength
assert expected_element.pitch.pitchClass == actual_element.pitch.pitchClass
assert expected_element.pitch.octave == actual_element.pitch.octave
elif type(expected_element) is Rest:
assert expected_element.quarterLength == actual_element.quarterLength
# Check that the time signatures are encoded.
expected_time_signatures = expected_score.flat.getElementsByClass(TimeSignature)
actual_time_signatures = actual_score.flat.getElementsByClass(TimeSignature)
# Ensure we have the right number of time signatures.
assert len(expected_time_signatures) == len(actual_time_signatures)
for expected, actual in zip(expected_time_signatures, actual_time_signatures):
assert expected.ratioString == actual.ratioString
assert expected.offset == actual.offset
def test_convert_vmf_to_midi_010(self):
"""
Tests the conversion of a vmf file with chords to a midi file.
"""
actual_score = vmf_converter_core.read_vmf_file('./expected/chords.vmf')
expected_score = converter.parse('./fixtures/chords.mid')
# Assert that the file has the right number of parts.
assert len(expected_score.parts) == len(actual_score.parts)
# Assert that the notes and rests match
for expected, actual in zip(expected_score.parts, actual_score.parts):
for expected_element, actual_element in zip(expected.flat.notesAndRests.elements, actual.flat.notesAndRests.elements):
if type(expected_element) is Chord:
assert len(expected_element.pitches) == len(actual_element.pitches)
assert expected_element.quarterLength == actual_element.quarterLength
for actual_pitch, expected_pitch in zip(expected_element.pitches, actual_element.pitches):
assert expected_pitch.pitchClass == actual_pitch.pitchClass
assert expected_pitch.octave == actual_pitch.octave
if type(expected_element) is Note:
assert expected_element.quarterLength == actual_element.quarterLength
assert expected_element.pitch.pitchClass == actual_element.pitch.pitchClass
assert expected_element.pitch.octave == actual_element.pitch.octave
elif type(expected_element) is Rest:
assert expected_element.quarterLength == actual_element.quarterLength
# Check that the time signatures are encoded.
expected_time_signatures = expected_score.flat.getElementsByClass(TimeSignature)
actual_time_signatures = actual_score.flat.getElementsByClass(TimeSignature)
# Ensure we have the right number of time signatures.
assert len(expected_time_signatures) == len(actual_time_signatures)
for expected, actual in zip(expected_time_signatures, actual_time_signatures):
assert expected.ratioString == actual.ratioString
assert expected.offset == actual.offset
def test_convert_vmf_to_midi_011(self):
"""
Tests the conversion of a vmf file with multiple voices to a midi file.
"""
actual_score = vmf_converter_core.read_vmf_file('./expected/voices.vmf')
expected_score = converter.parse('./fixtures/voices.mid')
# Assert that the file has the right number of parts.
assert len(expected_score.parts) == len(actual_score.parts)
# Assert that the notes and rests match
for expected, actual in zip(expected_score.parts, actual_score.parts):
for expected_element, actual_element in zip(expected.flat.notesAndRests.elements, actual.flat.notesAndRests.elements):
if type(expected_element) is Chord:
assert len(expected_element.pitches) == len(actual_element.pitches)
assert expected_element.quarterLength == actual_element.quarterLength
for actual_pitch, expected_pitch in zip(expected_element.pitches, actual_element.pitches):
assert expected_pitch.pitchClass == actual_pitch.pitchClass
assert expected_pitch.octave == actual_pitch.octave
if type(expected_element) is Note:
assert expected_element.quarterLength == actual_element.quarterLength
assert expected_element.pitch.pitchClass == actual_element.pitch.pitchClass
assert expected_element.pitch.octave == actual_element.pitch.octave
elif type(expected_element) is Rest:
assert expected_element.quarterLength == actual_element.quarterLength
def test_convert_vmf_to_midi_012(self):
"""
Tests the conversion of a vmf file with dynamics to a midi file.
"""
actual_score = vmf_converter_core.read_vmf_file('./expected/dynamics.vmf')
expected_score = converter.parse('./fixtures/dynamics.mid')
# Assert that the file has the right number of parts.
assert len(expected_score.parts) == len(actual_score.parts)
# Assert that the notes and rests match
for expected, actual in zip(expected_score.parts, actual_score.parts):
for expected_element, actual_element in zip(expected.flat.notesAndRests.elements, actual.flat.notesAndRests.elements):
if type(expected_element) is Chord:
assert len(expected_element.pitches) == len(actual_element.pitches)
assert expected_element.quarterLength == actual_element.quarterLength
assert expected_element.volume.velocity == actual_element.volume.velocity
for actual_pitch, expected_pitch in zip(expected_element.pitches, actual_element.pitches):
assert expected_pitch.pitchClass == actual_pitch.pitchClass
assert expected_pitch.octave == actual_pitch.octave
elif type(expected_element) is Note:
assert expected_element.quarterLength == actual_element.quarterLength
assert expected_element.pitch.pitchClass == actual_element.pitch.pitchClass
assert expected_element.pitch.octave == actual_element.pitch.octave
assert expected_element.volume.velocity == actual_element.volume.velocity
elif type(expected_element) is Rest:
assert expected_element.quarterLength == actual_element.quarterLength
def test_convert_vmf_to_midi_013(self):
"""
Tests a key signature change.
"""
actual_score = vmf_converter_core.read_vmf_file('./expected/keyChange.vmf')
expected_score = converter.parse('./fixtures/keyChange.mid')
# Assert that the file has the right number of parts.
assert len(expected_score.parts) == len(actual_score.parts)
# Assert that the notes and rests match
for expected, actual in zip(expected_score.parts, actual_score.parts):
for expected_element, actual_element in zip(expected.flat.notesAndRests.elements,
actual.flat.notesAndRests.elements):
if type(expected_element) is Note:
assert expected_element.quarterLength == actual_element.quarterLength
assert expected_element.pitch.pitchClass == actual_element.pitch.pitchClass
assert expected_element.pitch.octave == actual_element.pitch.octave
elif type(expected_element) is Rest:
assert expected_element.quarterLength == actual_element.quarterLength
# Check that the key signatures are encoded.
expected_key_signatures = expected_score.flat.getElementsByClass(KeySignature)
actual_key_signatures = actual_score.flat.getElementsByClass(KeySignature)
# Ensure we have the right number of key signatures.
assert len(expected_key_signatures) == len(actual_key_signatures)
for expected, actual in zip(expected_key_signatures, actual_key_signatures):
assert expected.sharps == actual.sharps
assert expected.offset == actual.offset
def test_convert_vmf_to_midi_014(self):
"""
Tests a tempo change.
"""
actual_score = vmf_converter_core.read_vmf_file('./expected/tempoChange.vmf')
expected_score = converter.parse('./fixtures/tempoChange.mid')
# Assert that the file has the right number of parts.
assert len(expected_score.parts) == len(actual_score.parts)
# Assert that the notes and rests match
for expected, actual in zip(expected_score.parts, actual_score.parts):
for expected_element, actual_element in zip(expected.flat.notesAndRests.elements,
actual.flat.notesAndRests.elements):
if type(expected_element) is Note:
assert expected_element.quarterLength == actual_element.quarterLength
assert expected_element.pitch.pitchClass == actual_element.pitch.pitchClass
assert expected_element.pitch.octave == actual_element.pitch.octave
elif type(expected_element) is Rest:
assert expected_element.quarterLength == actual_element.quarterLength
# Check that the tempos are encoded.
expected_tempos = expected_score.flat.getElementsByClass(MetronomeMark)
actual_tempos = actual_score.flat.getElementsByClass(MetronomeMark)
# Ensure we have the right number of tempos.
assert len(expected_tempos) == len(actual_tempos)
for expected, actual in zip(expected_tempos, actual_tempos):
assert expected.number == actual.number
assert expected.offset == actual.offset
def test_read_vmf_string_001(self):
"""
Tests reading a VMF file with articulations
"""
actual_score = vmf_converter_core.read_vmf_file('./expected/articulation.vmf')
expected_score = converter.parse('./fixtures/articulation.xml')
# Assert that the file has the right number of parts.
assert len(expected_score.parts) == len(actual_score.parts)
# Assert that the notes and rests match
for expected, actual in zip(expected_score.parts, actual_score.parts):
for expected_element, actual_element in zip(expected.flat.notesAndRests.elements,
actual.flat.notesAndRests.elements):
if type(expected_element) is Chord:
assert len(expected_element.pitches) == len(actual_element.pitches)
assert expected_element.quarterLength == actual_element.quarterLength
assert expected_element.volume.velocity == actual_element.volume.velocity
for actual_pitch, expected_pitch in zip(expected_element.pitches, actual_element.pitches):
assert expected_pitch.pitchClass == actual_pitch.pitchClass
assert expected_pitch.octave == actual_pitch.octave
elif type(expected_element) is Note:
assert expected_element.quarterLength == actual_element.quarterLength
assert expected_element.pitch.pitchClass == actual_element.pitch.pitchClass
assert expected_element.pitch.octave == actual_element.pitch.octave
# Equality on articulations is not well implemented in music21.
for a, b in zip(expected_element.articulations, actual_element.articulations):
assert type(a) == type(b)
elif type(expected_element) is Rest:
assert expected_element.quarterLength == actual_element.quarterLength
def test_read_vmf_string_002(self):
"""
Tests reading a VMF file with a pickup measure.
"""
actual_score = vmf_converter_core.read_vmf_file('./expected/anacrusis.vmf')
expected_score = converter.parse('./fixtures/anacrusis.xml')
# Assert that the file has the right number of parts.
assert len(expected_score.parts) == len(actual_score.parts)
# Assert that the notes and rests match
for expected, actual in zip(expected_score.parts, actual_score.parts):
for expected_element, actual_element in zip(expected.flat.notesAndRests.elements,
actual.flat.notesAndRests.elements):
if type(expected_element) is Note:
assert expected_element.quarterLength == actual_element.quarterLength
assert expected_element.pitch.pitchClass == actual_element.pitch.pitchClass
assert expected_element.pitch.octave == actual_element.pitch.octave
elif type(expected_element) is Rest:
assert expected_element.quarterLength == actual_element.quarterLength
def test_read_vmf_string_003(self):
"""
Tests reading a VMF file with a pickup and a measure of rests.
"""
actual_score = vmf_converter_core.read_vmf_file('./expected/anacrusisAndRests.vmf')
expected_score = converter.parse('./fixtures/anacrusisAndRests.xml')
# Assert that the file has the right number of parts.
assert len(expected_score.parts) == len(actual_score.parts)
# Assert that the notes and rests match
for expected, actual in zip(expected_score.parts, actual_score.parts):
for expected_element, actual_element in zip(expected.flat.notesAndRests.elements,
actual.flat.notesAndRests.elements):
if type(expected_element) is Note:
assert expected_element.quarterLength == actual_element.quarterLength
assert expected_element.pitch.pitchClass == actual_element.pitch.pitchClass
assert expected_element.pitch.octave == actual_element.pitch.octave
elif type(expected_element) is Rest:
assert expected_element.quarterLength == actual_element.quarterLength
def test_read_vmf_string_004(self):
"""
Tests reading a VMF file with a quintuplet.
"""
actual_score = vmf_converter_core.read_vmf_file('./expected/quintuplets.vmf')
expected_score = converter.parse('./fixtures/quintuplets.xml')
# Assert that the file has the right number of parts.
assert len(expected_score.parts) == len(actual_score.parts)
# Assert that the notes and rests match
for expected, actual in zip(expected_score.parts, actual_score.parts):
for expected_element, actual_element in zip(expected.flat.notesAndRests.elements,
actual.flat.notesAndRests.elements):
if type(expected_element) is Note:
assert expected_element.quarterLength == actual_element.quarterLength
assert expected_element.pitch.pitchClass == actual_element.pitch.pitchClass
assert expected_element.pitch.octave == actual_element.pitch.octave
elif type(expected_element) is Rest:
assert expected_element.quarterLength == actual_element.quarterLength
def test_find_number_of_notes_in_tick_001(self):
"""
Tests finding the number of notes in a tick
"""
tick = [1,-1,0,0,4,-1,-1,-1,-1,0]
number_of_notes = vmf_converter_core.find_number_of_notes_in_tick(tick)
assert number_of_notes == 1
def test_find_number_of_notes_in_tick_002(self):
"""
Tests finding the number of notes in a tick
"""
tick = [1,-1,0,0,4,0,0,-1,-1,0]
number_of_notes = vmf_converter_core.find_number_of_notes_in_tick(tick)
assert number_of_notes == 2 | 48.604709 | 130 | 0.667678 | 4,543 | 39,224 | 5.544354 | 0.041382 | 0.086946 | 0.065865 | 0.033349 | 0.919922 | 0.910394 | 0.85767 | 0.845641 | 0.840956 | 0.798992 | 0 | 0.006582 | 0.256297 | 39,224 | 807 | 131 | 48.604709 | 0.856878 | 0.134051 | 0 | 0.686695 | 0 | 0 | 0.058736 | 0.055701 | 0 | 0 | 0 | 0 | 0.330472 | 1 | 0.087983 | false | 0 | 0.021459 | 0 | 0.111588 | 0.004292 | 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 |
e5b65de6caaa51982c061649267b4e8734c7f5a8 | 2,314 | py | Python | cogs/owneronly.py | mossyegghead01/Mossy-The-Bot | da044651fe7dd2dee62515d7b07938f4d774c650 | [
"MIT"
] | 1 | 2020-11-29T11:13:06.000Z | 2020-11-29T11:13:06.000Z | cogs/owneronly.py | mossyegghead01/Mossy-The-Bot | da044651fe7dd2dee62515d7b07938f4d774c650 | [
"MIT"
] | null | null | null | cogs/owneronly.py | mossyegghead01/Mossy-The-Bot | da044651fe7dd2dee62515d7b07938f4d774c650 | [
"MIT"
] | null | null | null | import discord
from discord.ext import commands
class owneronly(commands.Cog):
def __init__(self, client):
self.client = client
@commands.command(hidden=True)
@commands.is_owner()
async def resetstatus(self, ctx):
""" Reset the bot status, owner only, hidden """
if ctx.author.id == 645405908309901322 or ctx.author.id == 689802280102527124:
guilds = list(self.client.guilds)
await self.client.change_presence(activity=discord.Activity(type=discord.ActivityType.watching, name=f'!help in {str(len(guilds))} servers'))
else:
await ctx.send("I won't change to that, you not my creator or the choosed.")
@commands.command(hidden=True)
@commands.is_owner()
async def status(self, ctx, *, name):
""" change the bot status, owner only, hidden """
if ctx.author.id == 645405908309901322 or ctx.author.id == 689802280102527124:
await self.client.change_presence(activity=discord.Activity(type=discord.ActivityType.watching, name=name))
else:
await ctx.send("I won't change to that, you not my creator or the choosed.")
@commands.command(hidden=True)
@commands.is_owner()
async def load(self, ctx, *, module : str):
"""Loads a module."""
try:
self.client.load_extension(f'cogs.{module}')
except Exception as e:
await ctx.send('\N{PISTOL}')
await ctx.send('{}: {}'.format(type(e).__name__, e))
else:
await ctx.send('\N{OK HAND SIGN}')
@commands.command(hidden=True)
@commands.is_owner()
async def unload(self, ctx, *, module : str):
"""Unloads a module."""
try:
self.client.unload_extension(f'cogs.{module}')
except Exception as e:
await ctx.send('\N{PISTOL}')
await ctx.send('{}: {}'.format(type(e).__name__, e))
else:
await ctx.send('\N{OK HAND SIGN}')
@commands.command(hidden=True)
@commands.is_owner()
async def reload(self,ctx, *, module : str):
"""Reloads a module."""
try:
self.client.unload_extension(f'cogs.{module}')
self.client.load_extension(f'cogs.{module}')
except Exception as e:
await ctx.send('\N{PISTOL}')
await ctx.send('{}: {}'.format(type(e).__name__, e))
else:
await ctx.send('\N{OK HAND SIGN}')
def setup(client):
client.add_cog(owneronly(client)) | 35.6 | 147 | 0.652982 | 315 | 2,314 | 4.707937 | 0.260317 | 0.059339 | 0.089009 | 0.052596 | 0.78085 | 0.774107 | 0.774107 | 0.774107 | 0.774107 | 0.74174 | 0 | 0.038565 | 0.193172 | 2,314 | 65 | 148 | 35.6 | 0.755758 | 0 | 0 | 0.716981 | 0 | 0 | 0.139005 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037736 | false | 0 | 0.037736 | 0 | 0.09434 | 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 |
e5da074c762dc1b38888d24890745a7f41bfb2f7 | 46 | py | Python | wlpac/__init__.py | sevagh/warped-linear-prediction | 43663aeffe14f979fe465457f369afce5494f7cf | [
"MIT"
] | 2 | 2019-07-13T16:16:22.000Z | 2022-03-26T06:46:13.000Z | wlpac/__init__.py | sevagh/warped-linear-prediction | 43663aeffe14f979fe465457f369afce5494f7cf | [
"MIT"
] | null | null | null | wlpac/__init__.py | sevagh/warped-linear-prediction | 43663aeffe14f979fe465457f369afce5494f7cf | [
"MIT"
] | 2 | 2020-12-31T08:23:42.000Z | 2021-04-20T06:41:32.000Z | from .wlpac import wlpac_encode, wlpac_decode
| 23 | 45 | 0.847826 | 7 | 46 | 5.285714 | 0.714286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.108696 | 46 | 1 | 46 | 46 | 0.902439 | 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 |
e5ea1d3bf665001fa7466855fa82acb2130f6bbd | 43 | py | Python | packages/auto-nlp-deployment/src/projects/__init__.py | fhswf/tagflip-autonlp | f94abb35ed06198567e5d9cbb7abb7e112149d6c | [
"MIT"
] | 4 | 2021-10-05T17:34:02.000Z | 2022-03-23T07:33:19.000Z | packages/auto-nlp-deployment/src/projects/__init__.py | fhswf/tagflip-autonlp | f94abb35ed06198567e5d9cbb7abb7e112149d6c | [
"MIT"
] | 11 | 2022-03-01T14:37:52.000Z | 2022-03-31T05:11:23.000Z | packages/auto-nlp-deployment/src/projects/__init__.py | fhswf/tagflip-autonlp | f94abb35ed06198567e5d9cbb7abb7e112149d6c | [
"MIT"
] | 1 | 2022-01-29T13:32:22.000Z | 2022-01-29T13:32:22.000Z | from .project_service import ProjectService | 43 | 43 | 0.906977 | 5 | 43 | 7.6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.069767 | 43 | 1 | 43 | 43 | 0.95 | 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 |
f90065e75a7bd2a1d97f6cc718c131489c3144c2 | 6,592 | py | Python | tests/test_datasets.py | EliotBerriot/django-modelstats | b111c887b1c98c479e33f8919a9adaaf2b9bfbc2 | [
"BSD-3-Clause"
] | 1 | 2015-06-22T11:57:51.000Z | 2015-06-22T11:57:51.000Z | tests/test_datasets.py | EliotBerriot/django-modelstats | b111c887b1c98c479e33f8919a9adaaf2b9bfbc2 | [
"BSD-3-Clause"
] | null | null | null | tests/test_datasets.py | EliotBerriot/django-modelstats | b111c887b1c98c479e33f8919a9adaaf2b9bfbc2 | [
"BSD-3-Clause"
] | null | null | null | import datetime
from .base import TestBase
from modelstats import models
from modelstats import datasets
class TestDateDataSet(TestBase):
def test_datedataset(self):
self.create_users()
queryset = self.user_model.objects.all()
dataset = datasets.DateDataSet(field='date_joined', fill_missing_dates=False, queryset=queryset).process()
for i, date_data in enumerate(self.default_dates_joined):
date, quantity = date_data
self.assertEqual(dataset.data[i]['key'], date.strftime('%Y-%m-%d'))
self.assertEqual(dataset.data[i]['value'], quantity)
def test_datedataset_lookup_year(self):
dates_joined = [
(datetime.datetime(2016, 1, 1, 12, 12), 11),
(datetime.datetime(2016, 2, 1, 12, 12), 9),
(datetime.datetime(2017, 1, 2, 12, 12), 8),
(datetime.datetime(2018, 1, 5, 12, 12), 7),
]
self.create_users(dates_joined)
queryset = self.user_model.objects.all()
dataset = datasets.DateDataSet(field='date_joined', queryset=queryset, fill_missing_dates=False, year=2016).process()
self.assertEqual(sum([d['value'] for d in dataset.data]), 20)
def test_datedataset_lookup_month(self):
dates_joined = [
(datetime.datetime(2016, 1, 1, 12, 12), 11),
(datetime.datetime(2016, 2, 1, 12, 12), 9),
(datetime.datetime(2017, 1, 2, 12, 12), 8),
(datetime.datetime(2018, 1, 1, 12, 12), 8),
(datetime.datetime(2019, 2, 1, 12, 12), 5),
]
self.create_users(dates_joined)
queryset = self.user_model.objects.all()
dataset = datasets.DateDataSet(field='date_joined', queryset=queryset, fill_missing_dates=False, month=2).process()
self.assertEqual(sum([d['value'] for d in dataset.data]), 14)
def test_datedataset_lookup_day(self):
dates_joined = [
(datetime.datetime(2016, 1, 1, 12, 12), 11),
(datetime.datetime(2016, 2, 2, 12, 12), 9),
(datetime.datetime(2017, 1, 1, 12, 12), 8),
(datetime.datetime(2018, 1, 4, 12, 12), 8),
(datetime.datetime(2019, 2, 5, 12, 12), 5),
]
self.create_users(dates_joined)
queryset = self.user_model.objects.all()
dataset = datasets.DateDataSet(field='date_joined', queryset=queryset, fill_missing_dates=False, day=1).process()
self.assertEqual(sum([d['value'] for d in dataset.data]), 19)
def test_datedataset_group_by_month(self):
self.create_users()
queryset = self.user_model.objects.all()
dataset = datasets.DateDataSet(field='date_joined', group_by='month', fill_missing_dates=False, queryset=queryset).process()
total_quantity = sum([quantity for date, quantity in self.default_dates_joined])
self.assertEqual(dataset.data[0]['key'], '2015-01-01')
self.assertEqual(dataset.data[0]['value'], total_quantity)
def test_datedataset_group_by_year(self):
self.create_users()
queryset = self.user_model.objects.all()
dataset = datasets.DateDataSet(field='date_joined', group_by='year', fill_missing_dates=False, queryset=queryset).process()
total_quantity = sum([quantity for date, quantity in self.default_dates_joined])
self.assertEqual(dataset.data[0]['key'], '2015-01-01')
self.assertEqual(dataset.data[0]['value'], total_quantity)
def test_datedataset_sort_reverse(self):
dates_joined = [
(datetime.datetime(2015, 1, 1, 12, 12), 11),
(datetime.datetime(2015, 1, 2, 12, 12), 8),
(datetime.datetime(2015, 1, 3, 12, 12), 7),
]
users = self.create_users(dates_joined)
queryset = self.user_model.objects.all()
dataset = datasets.DateDataSet(field='date_joined', sort='reverse', fill_missing_dates=False, queryset=queryset).process()
self.assertEqual(dataset.data[0]['key'], '2015-01-03')
self.assertEqual(dataset.data[1]['key'], '2015-01-02')
self.assertEqual(dataset.data[2]['key'], '2015-01-01')
def test_datedataset_fill_missing_dates_day(self):
dates_joined = [
(datetime.datetime(2015, 1, 1, 12, 12), 11),
(datetime.datetime(2015, 1, 2, 12, 12), 8),
(datetime.datetime(2015, 1, 5, 12, 12), 7),
]
users = self.create_users(dates_joined)
queryset = self.user_model.objects.all()
dataset = datasets.DateDataSet(field='date_joined', fill_missing_dates=True, queryset=queryset).process()
self.assertEqual(dataset.data[0]['key'], '2015/01/01')
self.assertEqual(dataset.data[1]['key'], '2015/01/02')
self.assertEqual(dataset.data[2]['key'], '2015/01/03')
self.assertEqual(dataset.data[3]['key'], '2015/01/04')
self.assertEqual(dataset.data[4]['key'], '2015/01/05')
self.assertEqual(dataset.data[2]['value'], 0)
def test_datedataset_fill_missing_dates_month(self):
dates_joined = [
(datetime.datetime(2015, 1, 1, 12, 12), 11),
(datetime.datetime(2015, 3, 1, 12, 12), 8),
(datetime.datetime(2015, 5, 1, 12, 12), 7),
]
users = self.create_users(dates_joined)
queryset = self.user_model.objects.all()
dataset = datasets.DateDataSet(field='date_joined', group_by='month', fill_missing_dates=True, queryset=queryset).process()
self.assertEqual(dataset.data[0]['key'], '2015/01')
self.assertEqual(dataset.data[1]['key'], '2015/02')
self.assertEqual(dataset.data[2]['key'], '2015/03')
self.assertEqual(dataset.data[3]['key'], '2015/04')
self.assertEqual(dataset.data[4]['key'], '2015/05')
def test_datedataset_fill_missing_dates_year(self):
dates_joined = [
(datetime.datetime(2015, 1, 1, 12, 12), 11),
(datetime.datetime(2017, 3, 1, 12, 12), 8),
(datetime.datetime(2020, 5, 1, 12, 12), 7),
]
users = self.create_users(dates_joined)
queryset = self.user_model.objects.all()
dataset = datasets.DateDataSet(field='date_joined', group_by='year', fill_missing_dates=True, queryset=queryset).process()
self.assertEqual(dataset.data[0]['key'], '2015')
self.assertEqual(dataset.data[1]['key'], '2016')
self.assertEqual(dataset.data[2]['key'], '2017')
self.assertEqual(dataset.data[3]['key'], '2018')
self.assertEqual(dataset.data[4]['key'], '2019')
self.assertEqual(dataset.data[5]['key'], '2020')
| 43.655629 | 132 | 0.627275 | 847 | 6,592 | 4.744982 | 0.094451 | 0.108236 | 0.142324 | 0.168201 | 0.891018 | 0.861159 | 0.798955 | 0.748943 | 0.695198 | 0.695198 | 0 | 0.08994 | 0.217385 | 6,592 | 150 | 133 | 43.946667 | 0.689087 | 0 | 0 | 0.389831 | 0 | 0 | 0.061135 | 0 | 0 | 0 | 0 | 0 | 0.245763 | 1 | 0.084746 | false | 0 | 0.033898 | 0 | 0.127119 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
005a2faa5a5b937d3a949d88137367f81b53c7ae | 29 | py | Python | src/services/__init__.py | kirill-kundik/CinemaChallengeBackend | aea4ac801a9a5c907f36f07b67df162b4bd85044 | [
"MIT"
] | null | null | null | src/services/__init__.py | kirill-kundik/CinemaChallengeBackend | aea4ac801a9a5c907f36f07b67df162b4bd85044 | [
"MIT"
] | null | null | null | src/services/__init__.py | kirill-kundik/CinemaChallengeBackend | aea4ac801a9a5c907f36f07b67df162b4bd85044 | [
"MIT"
] | null | null | null | from .oauth import with_auth
| 14.5 | 28 | 0.827586 | 5 | 29 | 4.6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.137931 | 29 | 1 | 29 | 29 | 0.92 | 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 |
0089235efe4802bc1d040d25a405656c926d55b5 | 329 | py | Python | mrinversion/kernel/nmr.py | DeepanshS/mrinversion | b1060f3150a5bf04162dfed499221f040b3bae21 | [
"BSD-3-Clause"
] | 1 | 2020-10-27T14:48:50.000Z | 2020-10-27T14:48:50.000Z | mrinversion/kernel/nmr.py | deepanshs/mrinversion | b1060f3150a5bf04162dfed499221f040b3bae21 | [
"BSD-3-Clause"
] | 13 | 2021-06-07T00:59:53.000Z | 2022-03-02T16:31:54.000Z | mrinversion/kernel/nmr.py | deepanshs/mrinversion | b1060f3150a5bf04162dfed499221f040b3bae21 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from mrinversion.kernel.csa_aniso import MAF # NOQA
from mrinversion.kernel.csa_aniso import ShieldingPALineshape # NOQA
from mrinversion.kernel.csa_aniso import SpinningSidebands # NOQA
# from mrinversion.kernel.quad_aniso import MQMAS # NOQA
# from mrinversion.kernel.lineshape import DAS # NOQA
| 36.555556 | 69 | 0.787234 | 42 | 329 | 6.071429 | 0.404762 | 0.294118 | 0.411765 | 0.392157 | 0.443137 | 0.443137 | 0.305882 | 0 | 0 | 0 | 0 | 0.003509 | 0.133739 | 329 | 8 | 70 | 41.125 | 0.891228 | 0.43465 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 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 |
00c542765a56fa63620b1b57b612ba54d4f1bd47 | 105 | py | Python | tensorflow_datasets_bw/waterloo_exploration/__init__.py | HedgehogCode/tensorflow-datasets-bw | a6de02cbcdce77fffb8767dfb1cd0d15c071f69d | [
"RSA-MD"
] | 1 | 2021-12-09T09:53:32.000Z | 2021-12-09T09:53:32.000Z | tensorflow_datasets_bw/waterloo_exploration/__init__.py | HedgehogCode/tensorflow-datasets-bw | a6de02cbcdce77fffb8767dfb1cd0d15c071f69d | [
"RSA-MD"
] | null | null | null | tensorflow_datasets_bw/waterloo_exploration/__init__.py | HedgehogCode/tensorflow-datasets-bw | a6de02cbcdce77fffb8767dfb1cd0d15c071f69d | [
"RSA-MD"
] | null | null | null | """waterloo_exploration dataset."""
from .waterloo_exploration import WaterlooExploration # noqa: F401
| 26.25 | 67 | 0.8 | 10 | 105 | 8.2 | 0.8 | 0.463415 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.031915 | 0.104762 | 105 | 3 | 68 | 35 | 0.840426 | 0.390476 | 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 |
00f0581cacf709c9351acb07f0af8a350e497989 | 6,868 | py | Python | tests/unit/project_lifecycle/project/ansiblermtests/test_validate.py | manojn97/lmctl | 844925cb414722351efac90cb97f10c1185eef7a | [
"Apache-2.0"
] | 3 | 2021-07-19T09:46:01.000Z | 2022-03-07T13:51:25.000Z | tests/unit/project_lifecycle/project/ansiblermtests/test_validate.py | manojn97/lmctl | 844925cb414722351efac90cb97f10c1185eef7a | [
"Apache-2.0"
] | 43 | 2019-08-27T12:36:29.000Z | 2020-08-27T14:50:40.000Z | tests/unit/project_lifecycle/project/ansiblermtests/test_validate.py | manojn97/lmctl | 844925cb414722351efac90cb97f10c1185eef7a | [
"Apache-2.0"
] | 7 | 2020-09-22T20:32:17.000Z | 2022-03-29T12:25:51.000Z | import os
from tests.common.project_testing import (ProjectSimTestCase,
PROJECT_CONTAINS_DIR,
ARM_DESCRIPTOR_DIR, ARM_LIFECYCLE_DIR, ARM_METAINF_DIR, ARM_MANIFEST_FILE)
from lmctl.project.source.core import Project, Options, ValidateOptions, BuildOptions
from lmctl.project.validation import ValidationResult
import tests.common.simulations.project_lab as project_lab
class TestValidateAnsibleRmProjects(ProjectSimTestCase):
def test_validate_resource(self):
project_sim = self.simlab.simulate_arm_basic()
project = Project(project_sim.path)
validate_options = ValidateOptions()
result = project.validate(validate_options)
self.assertIsInstance(result, ValidationResult)
self.assertFalse(result.has_errors())
self.assertFalse(result.has_warnings())
def test_validate_resource_descriptor_name(self):
project_sim = self.simlab.simulate_invalid_arm_mismatch_descriptor_name()
project = Project(project_sim.path)
validate_options = ValidateOptions()
result = project.validate(validate_options)
descriptor_path = os.path.join(project_sim.path, ARM_DESCRIPTOR_DIR, 'invalid_mismatch_descriptor_name.yml')
expected_errors = []
expected_errors.append(
'Descriptor [{0}]: name \'assembly::notvalid::9.7\' includes type \'assembly\' but this should be \'resource\' based on project configuration'.format(descriptor_path))
expected_errors.append(
'Descriptor [{0}]: name \'assembly::notvalid::9.7\' includes \'notvalid\' but this should be \'invalid_mismatch_descriptor_name\' based on project configuration'.format(descriptor_path))
expected_errors.append('Descriptor [{0}]: name \'assembly::notvalid::9.7\' includes version \'9.7\' but this should be \'1.0\' based on project configuration'.format(descriptor_path))
self.assert_validation_errors(result, *expected_errors)
def test_validate_resource_without_descriptor(self):
project_sim = self.simlab.simulate_invalid_arm_no_descriptor()
project = Project(project_sim.path)
validate_options = ValidateOptions()
result = project.validate(validate_options)
descriptor_path = os.path.join(project_sim.path, ARM_DESCRIPTOR_DIR, 'invalid_no_descriptor.yml')
self.assert_validation_errors(result, 'No descriptor found at: {0}'.format(descriptor_path))
def test_validate_resource_without_lifecycle(self):
project_sim = self.simlab.simulate_invalid_arm_no_lifecycle()
project = Project(project_sim.path)
validate_options = ValidateOptions()
result = project.validate(validate_options)
lifecycle_path = os.path.join(project_sim.path, ARM_LIFECYCLE_DIR)
self.assert_validation_errors(result, 'No lifecycle sources found at: {0}'.format(lifecycle_path))
def test_validate_resource_without_manifest(self):
project_sim = self.simlab.simulate_invalid_arm_no_manifest()
project = Project(project_sim.path)
validate_options = ValidateOptions()
result = project.validate(validate_options)
manifest_path = os.path.join(project_sim.path, ARM_METAINF_DIR, ARM_MANIFEST_FILE)
self.assert_validation_errors(result, 'No manifest found at: {0}'.format(manifest_path))
class TestValidateAnsibleRmSubprojects(ProjectSimTestCase):
def test_validate_resource_subproject(self):
project_sim = self.simlab.simulate_assembly_contains_arm_basic()
project = Project(project_sim.path)
validate_options = ValidateOptions()
result = project.validate(validate_options)
self.assertIsInstance(result, ValidationResult)
self.assertFalse(result.has_errors())
self.assertFalse(result.has_warnings())
def test_validate_resource_descriptor_name(self):
project_sim = self.simlab.simulate_assembly_contains_invalid_arm_mismatch_descriptor_name()
project = Project(project_sim.path)
validate_options = ValidateOptions()
result = project.validate(validate_options)
descriptor_path = os.path.join(project_sim.path, PROJECT_CONTAINS_DIR, project_lab.SUBPROJECT_NAME_INVALID_ARM_MISMATCH_DESCRIPTOR_NAME,
ARM_DESCRIPTOR_DIR, 'sub_invalid_mismatch_descriptor_name.yml')
expected_errors = []
expected_errors.append(
'Descriptor [{0}]: name \'assembly::notvalid::9.7\' includes type \'assembly\' but this should be \'resource\' based on project configuration'.format(descriptor_path))
expected_errors.append(
'Descriptor [{0}]: name \'assembly::notvalid::9.7\' includes \'notvalid\' but this should be \'sub_invalid_mismatch_descriptor_name-contains_invalid_mismatch_descriptor_name\' based on project configuration'.format(descriptor_path))
expected_errors.append('Descriptor [{0}]: name \'assembly::notvalid::9.7\' includes version \'9.7\' but this should be \'1.0\' based on project configuration'.format(descriptor_path))
self.assert_validation_errors(result, *expected_errors)
def test_validate_subproject_without_descriptor(self):
project_sim = self.simlab.simulate_assembly_contains_invalid_arm_no_descriptor()
project = Project(project_sim.path)
validate_options = ValidateOptions()
result = project.validate(validate_options)
descriptor_path = os.path.join(project_sim.path, PROJECT_CONTAINS_DIR, project_lab.SUBPROJECT_NAME_INVALID_ARM_NO_DESCRIPTOR, ARM_DESCRIPTOR_DIR, 'sub_invalid_no_descriptor.yml')
self.assert_validation_errors(result, 'No descriptor found at: {0}'.format(descriptor_path))
def test_validate_subproject_without_lifecycle(self):
project_sim = self.simlab.simulate_assembly_contains_invalid_arm_no_lifecycle()
project = Project(project_sim.path)
validate_options = ValidateOptions()
result = project.validate(validate_options)
lifecycle_path = os.path.join(project_sim.path, PROJECT_CONTAINS_DIR, project_lab.SUBPROJECT_NAME_INVALID_ARM_NO_LIFECYCLE, ARM_LIFECYCLE_DIR)
self.assert_validation_errors(result, 'No lifecycle sources found at: {0}'.format(lifecycle_path))
def test_validate_subproject_without_manifest(self):
project_sim = self.simlab.simulate_assembly_contains_invalid_arm_no_manifest()
project = Project(project_sim.path)
validate_options = ValidateOptions()
result = project.validate(validate_options)
manifest_path = os.path.join(project_sim.path, PROJECT_CONTAINS_DIR, project_lab.SUBPROJECT_NAME_INVALID_ARM_NO_MANIFEST, ARM_METAINF_DIR, ARM_MANIFEST_FILE)
self.assert_validation_errors(result, 'No manifest found at: {0}'.format(manifest_path))
| 63.009174 | 244 | 0.743302 | 799 | 6,868 | 6.048811 | 0.097622 | 0.057935 | 0.052142 | 0.037244 | 0.917856 | 0.87813 | 0.858266 | 0.858266 | 0.828471 | 0.808607 | 0 | 0.005602 | 0.168317 | 6,868 | 108 | 245 | 63.592593 | 0.840511 | 0 | 0 | 0.595745 | 0 | 0 | 0.123762 | 0.018928 | 0 | 0 | 0 | 0 | 0.148936 | 1 | 0.106383 | false | 0 | 0.053191 | 0 | 0.180851 | 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 |
dac568e219c76329ac797a4612de712c2b0fc76f | 4,907 | py | Python | authors/apps/friends/tests/test_friends.py | andela/ah-django-unchained | a4e5f6cd11fdc0b9422020693ac1200b849cf0f3 | [
"BSD-3-Clause"
] | null | null | null | authors/apps/friends/tests/test_friends.py | andela/ah-django-unchained | a4e5f6cd11fdc0b9422020693ac1200b849cf0f3 | [
"BSD-3-Clause"
] | 26 | 2019-01-07T14:22:05.000Z | 2019-02-28T17:11:48.000Z | authors/apps/friends/tests/test_friends.py | andela/ah-django-unchained | a4e5f6cd11fdc0b9422020693ac1200b849cf0f3 | [
"BSD-3-Clause"
] | 3 | 2019-09-19T22:16:09.000Z | 2019-10-16T21:16:16.000Z | from rest_framework import status
from .base_tests import BaseTestCase
from authors.apps.authentication.models import User
class TestUserFollow(BaseTestCase):
"""Test the follow/unfollow functionality"""
friend_url = 'http://127.0.0.1:8000/api/profiles'
def test_follow_other_user(self):
self.client.credentials(HTTP_AUTHORIZATION='Token ' + self.token)
response = self.client.post(self.friend_url + '/andrew/follow')
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(response.data["number_of_followers"], 1)
def test_only_authenticated_users_can_follow(self):
response = self.client.post(self.friend_url + '/andrew/follow')
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
def test_unfollow_other_user(self):
# test that a user is followed successfully
self.client.credentials(HTTP_AUTHORIZATION='Token ' + self.token)
res1 = self.client.post(self.friend_url + '/andrew/follow')
self.assertEqual(res1.status_code, status.HTTP_200_OK)
self.assertEqual(res1.data["number_of_followers"], 1)
# test that a user is unfollowed successfullly
res2 = self.client.delete(self.friend_url + '/andrew/follow')
self.assertEqual(res2.status_code, status.HTTP_200_OK)
self.assertEqual(res2.data["number_of_followers"], 0)
def test_follow_self(self):
self.client.credentials(HTTP_AUTHORIZATION='Token ' + self.token)
response = self.client.post(self.friend_url + '/testuser/follow')
self.assertEqual(response.status_code, status.HTTP_406_NOT_ACCEPTABLE)
self.assertEqual(
response.data['message'], 'You cannot follow yourself')
def test_unfollow_self(self):
self.client.credentials(HTTP_AUTHORIZATION='Token ' + self.token)
response = self.client.delete(self.friend_url + '/testuser/follow')
self.assertEqual(response.status_code, status.HTTP_406_NOT_ACCEPTABLE)
self.assertEqual(
response.data['message'], 'You cannot unfollow yourself')
def test_follow_nonexisting_user(self):
self.client.credentials(HTTP_AUTHORIZATION='Token ' + self.token)
response = self.client.post(self.friend_url + '/ken/follow')
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
assert response.data['detail'] == 'Not found.'
def test_unfollow_nonexisting_user(self):
self.client.credentials(HTTP_AUTHORIZATION='Token ' + self.token)
response = self.client.delete(self.friend_url + '/ken/follow')
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
assert response.data['detail'] == 'Not found.'
def test_get_followers(self):
self.client.credentials(HTTP_AUTHORIZATION='Token ' + self.token)
response = self.client.get(self.friend_url + '/andrew/followers')
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(len(response.data), 0)
def test_get_following(self):
self.client.credentials(HTTP_AUTHORIZATION='Token ' + self.token)
response = self.client.get(self.friend_url + '/andrew/following')
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(len(response.data), 0)
def test_follow_user_that_i_follow(self):
# first test to follow a user
self.client.credentials(HTTP_AUTHORIZATION='Token ' + self.token)
response = self.client.post(self.friend_url + '/andrew/follow')
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(response.data["number_of_followers"], 1)
# second test to follow the same user
res2 = self.client.post(self.friend_url + '/andrew/follow')
self.assertEqual(res2.status_code, status.HTTP_406_NOT_ACCEPTABLE)
self.assertEqual(
res2.data['message'], 'you already follow this user')
def test_unfollow_user_i_dont_follow(self):
# first test that a user is followed successfully
self.client.credentials(HTTP_AUTHORIZATION='Token ' + self.token)
res1 = self.client.post(self.friend_url + '/andrew/follow')
self.assertEqual(res1.status_code, status.HTTP_200_OK)
self.assertEqual(res1.data["number_of_followers"], 1)
# second test that a user is unfollowed successfullly
res2 = self.client.delete(self.friend_url + '/andrew/follow')
self.assertEqual(res2.status_code, status.HTTP_200_OK)
self.assertEqual(res2.data["number_of_followers"], 0)
# third test that i cannot unfollow a user i don't follow
res3 = self.client.delete(self.friend_url + '/andrew/follow')
self.assertEqual(res3.status_code, status.HTTP_406_NOT_ACCEPTABLE)
self.assertEqual(res3.data['message'], "you don't follow this user")
| 51.652632 | 78 | 0.707764 | 625 | 4,907 | 5.3552 | 0.1472 | 0.121004 | 0.058261 | 0.089633 | 0.80251 | 0.80251 | 0.80251 | 0.797729 | 0.797729 | 0.77323 | 0 | 0.020159 | 0.18117 | 4,907 | 94 | 79 | 52.202128 | 0.812842 | 0.070512 | 0 | 0.575342 | 0 | 0 | 0.129699 | 0 | 0 | 0 | 0 | 0 | 0.39726 | 1 | 0.150685 | false | 0 | 0.041096 | 0 | 0.219178 | 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 |
dae147d828ef914b684f72988603f621480682f7 | 18 | py | Python | tests/integrate_test/samples/sample_deploy_scores/import_test/exec_in_indirect_submodule/subpackage/sub_module2.py | bayeshack2016/icon-service | 36cab484d2e41548d7f2f74526f127ee3a4423fc | [
"Apache-2.0"
] | 52 | 2018-08-24T02:28:43.000Z | 2021-07-06T04:44:22.000Z | tests/integrate_test/samples/sample_deploy_scores/import_test/exec_in_indirect_submodule/subpackage/sub_module2.py | bayeshack2016/icon-service | 36cab484d2e41548d7f2f74526f127ee3a4423fc | [
"Apache-2.0"
] | 62 | 2018-09-17T06:59:16.000Z | 2021-12-15T06:02:51.000Z | tests/integrate_test/samples/sample_deploy_scores/import_test/exec_in_indirect_submodule/subpackage/sub_module2.py | bayeshack2016/icon-service | 36cab484d2e41548d7f2f74526f127ee3a4423fc | [
"Apache-2.0"
] | 35 | 2018-09-14T02:42:10.000Z | 2022-02-05T10:34:46.000Z | exec('import os')
| 9 | 17 | 0.666667 | 3 | 18 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.111111 | 18 | 1 | 18 | 18 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0.5 | 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 |
9727ae532dcbde0b66237ba430d97e7e1c63b419 | 158 | py | Python | examples/app.py | kgz/Quart-Sockets-Extended | 938bccd870f65b58b43bdc17a91d199bb8fe735c | [
"MIT"
] | null | null | null | examples/app.py | kgz/Quart-Sockets-Extended | 938bccd870f65b58b43bdc17a91d199bb8fe735c | [
"MIT"
] | null | null | null | examples/app.py | kgz/Quart-Sockets-Extended | 938bccd870f65b58b43bdc17a91d199bb8fe735c | [
"MIT"
] | null | null | null | """."""
from quart import (Quart, jsonify, render_template, render_template_string,
request, websocket, send_file)
from QSE import Socket
| 26.333333 | 75 | 0.683544 | 18 | 158 | 5.777778 | 0.722222 | 0.269231 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.221519 | 158 | 5 | 76 | 31.6 | 0.845528 | 0.006329 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.666667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 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 |
972cb43385b61c953fe57d8416477cdd5070ca3c | 160 | py | Python | components/buttons.py | cruor99/kivy-gopher-client | 7768b51b69c6235a3f2c0a90e2ca9c057b6cbc27 | [
"WTFPL"
] | 1 | 2017-12-24T16:41:17.000Z | 2017-12-24T16:41:17.000Z | components/buttons.py | cruor99/kivy-gopher-client | 7768b51b69c6235a3f2c0a90e2ca9c057b6cbc27 | [
"WTFPL"
] | null | null | null | components/buttons.py | cruor99/kivy-gopher-client | 7768b51b69c6235a3f2c0a90e2ca9c057b6cbc27 | [
"WTFPL"
] | null | null | null | from kivymd.label import MDLabel
from kivy.lang import Builder
Builder.load_file("kv/components/buttons.kv")
class MDScrollableTextButton(MDLabel):
pass
| 17.777778 | 45 | 0.8 | 21 | 160 | 6.047619 | 0.761905 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.11875 | 160 | 8 | 46 | 20 | 0.900709 | 0 | 0 | 0 | 0 | 0 | 0.15 | 0.15 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.2 | 0.4 | 0 | 0.6 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 6 |
979a39f7fdd3ddf131bd3f9e40e053bf8c2a5de3 | 19,891 | py | Python | pybind/slxos/v17r_2_00/isis_state/ipv6_routes/__init__.py | extremenetworks/pybind | 44c467e71b2b425be63867aba6e6fa28b2cfe7fb | [
"Apache-2.0"
] | null | null | null | pybind/slxos/v17r_2_00/isis_state/ipv6_routes/__init__.py | extremenetworks/pybind | 44c467e71b2b425be63867aba6e6fa28b2cfe7fb | [
"Apache-2.0"
] | null | null | null | pybind/slxos/v17r_2_00/isis_state/ipv6_routes/__init__.py | extremenetworks/pybind | 44c467e71b2b425be63867aba6e6fa28b2cfe7fb | [
"Apache-2.0"
] | 1 | 2021-11-05T22:15:42.000Z | 2021-11-05T22:15:42.000Z |
from operator import attrgetter
import pyangbind.lib.xpathhelper as xpathhelper
from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType, RestrictedClassType, TypedListType
from pyangbind.lib.yangtypes import YANGBool, YANGListType, YANGDynClass, ReferenceType
from pyangbind.lib.base import PybindBase
from decimal import Decimal
from bitarray import bitarray
import __builtin__
import ipv6_route_entry
class ipv6_routes(PybindBase):
"""
This class was auto-generated by the PythonClass plugin for PYANG
from YANG module brocade-isis-operational - based on the path /isis-state/ipv6-routes. Each member element of
the container is represented as a class variable - with a specific
YANG type.
YANG Description: ISIS IPv6 Route Table
"""
__slots__ = ('_pybind_generated_by', '_path_helper', '_yang_name', '_rest_name', '_extmethods', '__level1_route_count','__level2_route_count','__ecmp_route_count','__total_routes_count','__ipv6_route_entry',)
_yang_name = 'ipv6-routes'
_rest_name = 'ipv6-routes'
_pybind_generated_by = 'container'
def __init__(self, *args, **kwargs):
path_helper_ = kwargs.pop("path_helper", None)
if path_helper_ is False:
self._path_helper = False
elif path_helper_ is not None and isinstance(path_helper_, xpathhelper.YANGPathHelper):
self._path_helper = path_helper_
elif hasattr(self, "_parent"):
path_helper_ = getattr(self._parent, "_path_helper", False)
self._path_helper = path_helper_
else:
self._path_helper = False
extmethods = kwargs.pop("extmethods", None)
if extmethods is False:
self._extmethods = False
elif extmethods is not None and isinstance(extmethods, dict):
self._extmethods = extmethods
elif hasattr(self, "_parent"):
extmethods = getattr(self._parent, "_extmethods", None)
self._extmethods = extmethods
else:
self._extmethods = False
self.__level2_route_count = YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="level2-route-count", rest_name="level2-route-count", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-isis-operational', defining_module='brocade-isis-operational', yang_type='uint32', is_config=False)
self.__ecmp_route_count = YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="ecmp-route-count", rest_name="ecmp-route-count", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-isis-operational', defining_module='brocade-isis-operational', yang_type='uint32', is_config=False)
self.__ipv6_route_entry = YANGDynClass(base=YANGListType("ipv6_dest_addr ipv6_prefix_len",ipv6_route_entry.ipv6_route_entry, yang_name="ipv6-route-entry", rest_name="ipv6-route-entry", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='ipv6-dest-addr ipv6-prefix-len', extensions={u'tailf-common': {u'callpoint': u'isis-ipv6-route', u'cli-suppress-show-path': None}}), is_container='list', yang_name="ipv6-route-entry", rest_name="ipv6-route-entry", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'callpoint': u'isis-ipv6-route', u'cli-suppress-show-path': None}}, namespace='urn:brocade.com:mgmt:brocade-isis-operational', defining_module='brocade-isis-operational', yang_type='list', is_config=False)
self.__total_routes_count = YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="total-routes-count", rest_name="total-routes-count", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-isis-operational', defining_module='brocade-isis-operational', yang_type='uint32', is_config=False)
self.__level1_route_count = YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="level1-route-count", rest_name="level1-route-count", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-isis-operational', defining_module='brocade-isis-operational', yang_type='uint32', is_config=False)
load = kwargs.pop("load", None)
if args:
if len(args) > 1:
raise TypeError("cannot create a YANG container with >1 argument")
all_attr = True
for e in self._pyangbind_elements:
if not hasattr(args[0], e):
all_attr = False
break
if not all_attr:
raise ValueError("Supplied object did not have the correct attributes")
for e in self._pyangbind_elements:
nobj = getattr(args[0], e)
if nobj._changed() is False:
continue
setmethod = getattr(self, "_set_%s" % e)
if load is None:
setmethod(getattr(args[0], e))
else:
setmethod(getattr(args[0], e), load=load)
def _path(self):
if hasattr(self, "_parent"):
return self._parent._path()+[self._yang_name]
else:
return [u'isis-state', u'ipv6-routes']
def _rest_path(self):
if hasattr(self, "_parent"):
if self._rest_name:
return self._parent._rest_path()+[self._rest_name]
else:
return self._parent._rest_path()
else:
return [u'isis-state', u'ipv6-routes']
def _get_level1_route_count(self):
"""
Getter method for level1_route_count, mapped from YANG variable /isis_state/ipv6_routes/level1_route_count (uint32)
YANG Description: Number of Level-1 Routes
"""
return self.__level1_route_count
def _set_level1_route_count(self, v, load=False):
"""
Setter method for level1_route_count, mapped from YANG variable /isis_state/ipv6_routes/level1_route_count (uint32)
If this variable is read-only (config: false) in the
source YANG file, then _set_level1_route_count is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_level1_route_count() directly.
YANG Description: Number of Level-1 Routes
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(v,base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="level1-route-count", rest_name="level1-route-count", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-isis-operational', defining_module='brocade-isis-operational', yang_type='uint32', is_config=False)
except (TypeError, ValueError):
raise ValueError({
'error-string': """level1_route_count must be of a type compatible with uint32""",
'defined-type': "uint32",
'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="level1-route-count", rest_name="level1-route-count", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-isis-operational', defining_module='brocade-isis-operational', yang_type='uint32', is_config=False)""",
})
self.__level1_route_count = t
if hasattr(self, '_set'):
self._set()
def _unset_level1_route_count(self):
self.__level1_route_count = YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="level1-route-count", rest_name="level1-route-count", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-isis-operational', defining_module='brocade-isis-operational', yang_type='uint32', is_config=False)
def _get_level2_route_count(self):
"""
Getter method for level2_route_count, mapped from YANG variable /isis_state/ipv6_routes/level2_route_count (uint32)
YANG Description: Number of Level-1 Routes
"""
return self.__level2_route_count
def _set_level2_route_count(self, v, load=False):
"""
Setter method for level2_route_count, mapped from YANG variable /isis_state/ipv6_routes/level2_route_count (uint32)
If this variable is read-only (config: false) in the
source YANG file, then _set_level2_route_count is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_level2_route_count() directly.
YANG Description: Number of Level-1 Routes
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(v,base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="level2-route-count", rest_name="level2-route-count", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-isis-operational', defining_module='brocade-isis-operational', yang_type='uint32', is_config=False)
except (TypeError, ValueError):
raise ValueError({
'error-string': """level2_route_count must be of a type compatible with uint32""",
'defined-type': "uint32",
'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="level2-route-count", rest_name="level2-route-count", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-isis-operational', defining_module='brocade-isis-operational', yang_type='uint32', is_config=False)""",
})
self.__level2_route_count = t
if hasattr(self, '_set'):
self._set()
def _unset_level2_route_count(self):
self.__level2_route_count = YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="level2-route-count", rest_name="level2-route-count", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-isis-operational', defining_module='brocade-isis-operational', yang_type='uint32', is_config=False)
def _get_ecmp_route_count(self):
"""
Getter method for ecmp_route_count, mapped from YANG variable /isis_state/ipv6_routes/ecmp_route_count (uint32)
YANG Description: Equal-cost multi-path Routes
"""
return self.__ecmp_route_count
def _set_ecmp_route_count(self, v, load=False):
"""
Setter method for ecmp_route_count, mapped from YANG variable /isis_state/ipv6_routes/ecmp_route_count (uint32)
If this variable is read-only (config: false) in the
source YANG file, then _set_ecmp_route_count is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_ecmp_route_count() directly.
YANG Description: Equal-cost multi-path Routes
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(v,base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="ecmp-route-count", rest_name="ecmp-route-count", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-isis-operational', defining_module='brocade-isis-operational', yang_type='uint32', is_config=False)
except (TypeError, ValueError):
raise ValueError({
'error-string': """ecmp_route_count must be of a type compatible with uint32""",
'defined-type': "uint32",
'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="ecmp-route-count", rest_name="ecmp-route-count", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-isis-operational', defining_module='brocade-isis-operational', yang_type='uint32', is_config=False)""",
})
self.__ecmp_route_count = t
if hasattr(self, '_set'):
self._set()
def _unset_ecmp_route_count(self):
self.__ecmp_route_count = YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="ecmp-route-count", rest_name="ecmp-route-count", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-isis-operational', defining_module='brocade-isis-operational', yang_type='uint32', is_config=False)
def _get_total_routes_count(self):
"""
Getter method for total_routes_count, mapped from YANG variable /isis_state/ipv6_routes/total_routes_count (uint32)
YANG Description: Total number of IPv6 ISIS routes
"""
return self.__total_routes_count
def _set_total_routes_count(self, v, load=False):
"""
Setter method for total_routes_count, mapped from YANG variable /isis_state/ipv6_routes/total_routes_count (uint32)
If this variable is read-only (config: false) in the
source YANG file, then _set_total_routes_count is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_total_routes_count() directly.
YANG Description: Total number of IPv6 ISIS routes
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(v,base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="total-routes-count", rest_name="total-routes-count", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-isis-operational', defining_module='brocade-isis-operational', yang_type='uint32', is_config=False)
except (TypeError, ValueError):
raise ValueError({
'error-string': """total_routes_count must be of a type compatible with uint32""",
'defined-type': "uint32",
'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="total-routes-count", rest_name="total-routes-count", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-isis-operational', defining_module='brocade-isis-operational', yang_type='uint32', is_config=False)""",
})
self.__total_routes_count = t
if hasattr(self, '_set'):
self._set()
def _unset_total_routes_count(self):
self.__total_routes_count = YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="total-routes-count", rest_name="total-routes-count", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-isis-operational', defining_module='brocade-isis-operational', yang_type='uint32', is_config=False)
def _get_ipv6_route_entry(self):
"""
Getter method for ipv6_route_entry, mapped from YANG variable /isis_state/ipv6_routes/ipv6_route_entry (list)
YANG Description: ISIS IPv6 Route Entry
"""
return self.__ipv6_route_entry
def _set_ipv6_route_entry(self, v, load=False):
"""
Setter method for ipv6_route_entry, mapped from YANG variable /isis_state/ipv6_routes/ipv6_route_entry (list)
If this variable is read-only (config: false) in the
source YANG file, then _set_ipv6_route_entry is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_ipv6_route_entry() directly.
YANG Description: ISIS IPv6 Route Entry
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(v,base=YANGListType("ipv6_dest_addr ipv6_prefix_len",ipv6_route_entry.ipv6_route_entry, yang_name="ipv6-route-entry", rest_name="ipv6-route-entry", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='ipv6-dest-addr ipv6-prefix-len', extensions={u'tailf-common': {u'callpoint': u'isis-ipv6-route', u'cli-suppress-show-path': None}}), is_container='list', yang_name="ipv6-route-entry", rest_name="ipv6-route-entry", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'callpoint': u'isis-ipv6-route', u'cli-suppress-show-path': None}}, namespace='urn:brocade.com:mgmt:brocade-isis-operational', defining_module='brocade-isis-operational', yang_type='list', is_config=False)
except (TypeError, ValueError):
raise ValueError({
'error-string': """ipv6_route_entry must be of a type compatible with list""",
'defined-type': "list",
'generated-type': """YANGDynClass(base=YANGListType("ipv6_dest_addr ipv6_prefix_len",ipv6_route_entry.ipv6_route_entry, yang_name="ipv6-route-entry", rest_name="ipv6-route-entry", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='ipv6-dest-addr ipv6-prefix-len', extensions={u'tailf-common': {u'callpoint': u'isis-ipv6-route', u'cli-suppress-show-path': None}}), is_container='list', yang_name="ipv6-route-entry", rest_name="ipv6-route-entry", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'callpoint': u'isis-ipv6-route', u'cli-suppress-show-path': None}}, namespace='urn:brocade.com:mgmt:brocade-isis-operational', defining_module='brocade-isis-operational', yang_type='list', is_config=False)""",
})
self.__ipv6_route_entry = t
if hasattr(self, '_set'):
self._set()
def _unset_ipv6_route_entry(self):
self.__ipv6_route_entry = YANGDynClass(base=YANGListType("ipv6_dest_addr ipv6_prefix_len",ipv6_route_entry.ipv6_route_entry, yang_name="ipv6-route-entry", rest_name="ipv6-route-entry", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='ipv6-dest-addr ipv6-prefix-len', extensions={u'tailf-common': {u'callpoint': u'isis-ipv6-route', u'cli-suppress-show-path': None}}), is_container='list', yang_name="ipv6-route-entry", rest_name="ipv6-route-entry", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'callpoint': u'isis-ipv6-route', u'cli-suppress-show-path': None}}, namespace='urn:brocade.com:mgmt:brocade-isis-operational', defining_module='brocade-isis-operational', yang_type='list', is_config=False)
level1_route_count = __builtin__.property(_get_level1_route_count)
level2_route_count = __builtin__.property(_get_level2_route_count)
ecmp_route_count = __builtin__.property(_get_ecmp_route_count)
total_routes_count = __builtin__.property(_get_total_routes_count)
ipv6_route_entry = __builtin__.property(_get_ipv6_route_entry)
_pyangbind_elements = {'level1_route_count': level1_route_count, 'level2_route_count': level2_route_count, 'ecmp_route_count': ecmp_route_count, 'total_routes_count': total_routes_count, 'ipv6_route_entry': ipv6_route_entry, }
| 69.548951 | 834 | 0.750138 | 2,751 | 19,891 | 5.137041 | 0.069793 | 0.057317 | 0.047552 | 0.030569 | 0.854585 | 0.827554 | 0.798542 | 0.785239 | 0.769035 | 0.75559 | 0 | 0.024361 | 0.12292 | 19,891 | 285 | 835 | 69.792982 | 0.785682 | 0.157106 | 0 | 0.449704 | 0 | 0.029586 | 0.36751 | 0.175924 | 0 | 0 | 0 | 0 | 0 | 1 | 0.106509 | false | 0 | 0.053254 | 0 | 0.284024 | 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 |
c102039b916f5ede671a074e4b877d0428c61e2d | 122 | py | Python | Configuration/PyReleaseValidation/python/Options.py | nistefan/cmssw | ea13af97f7f2117a4f590a5e654e06ecd9825a5b | [
"Apache-2.0"
] | null | null | null | Configuration/PyReleaseValidation/python/Options.py | nistefan/cmssw | ea13af97f7f2117a4f590a5e654e06ecd9825a5b | [
"Apache-2.0"
] | null | null | null | Configuration/PyReleaseValidation/python/Options.py | nistefan/cmssw | ea13af97f7f2117a4f590a5e654e06ecd9825a5b | [
"Apache-2.0"
] | null | null | null | print "This file has moved to Configuration/Applications; please update"
from Configuration.Applications.Options import *
| 40.666667 | 72 | 0.836066 | 15 | 122 | 6.8 | 0.866667 | 0.490196 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.106557 | 122 | 2 | 73 | 61 | 0.93578 | 0 | 0 | 0 | 0 | 0 | 0.52459 | 0.221311 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.5 | null | null | 0.5 | 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 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 6 |
c1992cdbcb45f6883c234b38594827b01c95a6db | 5,445 | py | Python | poda/layers/optimizer.py | gideonmanurung/poda | 0a64cfa474f82acb891454141bc537d81bc77092 | [
"MIT"
] | null | null | null | poda/layers/optimizer.py | gideonmanurung/poda | 0a64cfa474f82acb891454141bc537d81bc77092 | [
"MIT"
] | 4 | 2020-09-26T01:08:59.000Z | 2022-02-10T01:40:42.000Z | poda/layers/optimizer.py | gideonmanurung/poda | 0a64cfa474f82acb891454141bc537d81bc77092 | [
"MIT"
] | null | null | null | import tensorflow as tf
def adadelta(learning_rates=0.0001, rho=0.95, epsilon=1e-08, use_lockings=False, names=None):
"""[summary]
Keyword Arguments:
learning_rates {float} -- [Value of learning rate] (default: {0.0001})
rho {float} -- [Value of learning rho] (default: {0.999})
epsilons {[type]} -- [Value of learning epsilons] (default: {1e-08})
use_lockings {bool} -- [State of locking] (default: {False})
names {[type]} -- [Name of the optimizer] (default: {None})
Returns:
[Optimizer] -- [Optimizer for training graph]
"""
if names!=None:
names = str(names)
else:
names= ''
optimizer = tf.compat.v1.train.AdadeltaOptimizer(learning_rate=learning_rates,rho=rho,epsilon=epsilon,use_locking=use_lockings,name=names)
return optimizer
def adagrad(learning_rates=0.0001, initial_accumulator_value=0.1, use_lockings=False, names=None):
"""[summary]
Keyword Arguments:
learning_rates {float} -- [Value of learning rate] (default: {0.0001})
initial_accumulator_value {float} -- [Value of learning rho] (default: {0.999})
use_lockings {bool} -- [State of locking] (default: {False})
names {[type]} -- [Name of the optimizer] (default: {None})
Returns:
[Optimizer] -- [Optimizer for training graph]
"""
if names!=None:
names = str(names)
else:
names= ''
optimizer = tf.compat.v1.train.AdagradOptimizer(learning_rate=learning_rates,initial_accumulator_value=initial_accumulator_value,use_locking=use_lockings,name=names)
return optimizer
def adam(learning_rates=0.0001, beta1=0.9, beta2=0.999, epsilon=1e-08, use_lockings=False, names=None):
"""[summary]
Keyword Arguments:
learning_rates {float} -- [Value of learning rate] (default: {0.0001})
beta1 {float} -- [Value of learning beta1] (default: {0.9})
beta2 {float} -- [Value of learning beta2] (default: {0.999})
epsilons {[type]} -- [Value of learning epsilons] (default: {1e-08})
use_lockings {bool} -- [State of locking] (default: {False})
names {[type]} -- [Name of the optimizer] (default: {None})
Returns:
[Optimizer] -- [Optimizer for training graph]
"""
if names!=None:
names = str(names)
else:
names= ''
optimizer = tf.compat.v1.train.AdamOptimizer(learning_rate=learning_rates,beta1=beta1,beta2=beta2,epsilon=epsilon,use_locking=use_lockings,name=names)
return optimizer
def optimizers(optimizers_names='adam', learning_rates=0.0001):
"""[summary]
Keyword Arguments:
optimizers_names {str} -- [Type of optimizer] (default: {'adam'})
learning_rates {float} -- [Value of learning rate] (default: {0.0001})
Returns:
[Optimizer] -- [Optimizer for training graph]
"""
optimizers_function = None
if optimizers_names=='adam':
optimizers_function = tf.compat.v1.train.AdamOptimizer(learning_rate=learning_rates,beta1=0.9,beta2=0.999,epsilon=1e-08,use_locking=False,name='Adam')
elif optimizers_names=='adadelta':
optimizers_function = tf.compat.v1.train.AdadeltaOptimizer(learning_rate=learning_rates,rho=0.95,epsilon=1e-08,use_locking=False,name='Adadelta')
elif optimizers_names=='adagrad':
optimizers_function = tf.compat.v1.train.AdagradOptimizer(learning_rate=learning_rates,initial_accumulator_value=0.1,use_locking=False,name='Adagrad')
elif optimizers_names=='sgd':
optimizers_function = tf.compat.v1.train.GradientDescentOptimizer(learning_rate=learning_rates,use_locking=False,name='GradientDescent')
elif optimizers_names=='rmsprop':
optimizers_function = tf.compat.v1.train.RMSPropOptimizer(learning_rate=learning_rates,decay=0.9,momentum=0.0,epsilon=1e-10,use_locking=False,centered=False,name='RMSProp')
return optimizers_function
def rmsprop(learning_rates=0.0001, decay=0.9, momentum=0.0, epsilon=1e-10, use_lockings=False, centered=False, names=None):
"""[summary]
Keyword Arguments:
learning_rates {float} -- [Value of learning rate] (default: {0.0001})
rho {float} -- [Value of learning rho] (default: {0.999})
epsilons {[type]} -- [Value of learning epsilons] (default: {1e-08})
use_lockings {bool} -- [State of locking] (default: {False})
names {[type]} -- [Name of the optimizer] (default: {None})
Returns:
[Optimizer] -- [Optimizer for training graph]
"""
if names!=None:
names = str(names)
else:
names= ''
optimizer = tf.compat.v1.train.RMSPropOptimizer(learning_rate=learning_rates,decay=decay,momentum=momentum,epsilon=epsilon,use_locking=use_lockings,centered=centered,name=names)
return optimizer
def sgd(learning_rates=0.0001, use_lockings=False, names=None):
"""[summary]
Keyword Arguments:
learning_rates {float} -- [Value of learning rate] (default: {0.0001})
use_lockings {bool} -- [State of locking] (default: {False})
names {[type]} -- [Name of the optimizer] (default: {None})
Returns:
[Optimizer] -- [Optimizer for training graph]
"""
if names!=None:
names = str(names)
else:
names= ''
optimizer = tf.compat.v1.train.GradientDescentOptimizer(learning_rate=learning_rates,use_locking=use_lockings,name=names)
return optimizer | 42.874016 | 181 | 0.670891 | 666 | 5,445 | 5.363363 | 0.106607 | 0.080067 | 0.058791 | 0.06159 | 0.820549 | 0.792833 | 0.737962 | 0.722564 | 0.703247 | 0.68981 | 0 | 0.035731 | 0.193021 | 5,445 | 127 | 182 | 42.874016 | 0.777196 | 0.415243 | 0 | 0.510204 | 0 | 0 | 0.025308 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.122449 | false | 0 | 0.020408 | 0 | 0.265306 | 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 |
c1cde5511f2e6d0432126990275b64fbe2b23a30 | 81,613 | py | Python | src/pyensae/languages/CSharpParserListener.py | sdpython/pyensae | ada4dbb0b9901bf481eff2ea239e74ed964d93b0 | [
"MIT"
] | 28 | 2015-07-19T21:20:51.000Z | 2022-02-16T11:50:53.000Z | src/pyensae/languages/CSharpParserListener.py | sdpython/pyensae | ada4dbb0b9901bf481eff2ea239e74ed964d93b0 | [
"MIT"
] | 34 | 2015-06-16T15:38:25.000Z | 2021-12-29T11:04:01.000Z | src/pyensae/languages/CSharpParserListener.py | sdpython/pyensae | ada4dbb0b9901bf481eff2ea239e74ed964d93b0 | [
"MIT"
] | 27 | 2015-01-13T08:24:22.000Z | 2022-03-31T14:51:23.000Z | # Generated from \CSharpParser.g4 by ANTLR 4.9
from antlr4 import *
if __name__ is not None and "." in __name__:
from .CSharpParser import CSharpParser
else:
from CSharpParser import CSharpParser
# This class defines a complete listener for a parse tree produced by CSharpParser.
class CSharpParserListener(ParseTreeListener):
# Enter a parse tree produced by CSharpParser#compilation_unit.
def enterCompilation_unit(self, ctx: CSharpParser.Compilation_unitContext):
pass
# Exit a parse tree produced by CSharpParser#compilation_unit.
def exitCompilation_unit(self, ctx: CSharpParser.Compilation_unitContext):
pass
# Enter a parse tree produced by CSharpParser#namespace_or_type_name.
def enterNamespace_or_type_name(self, ctx: CSharpParser.Namespace_or_type_nameContext):
pass
# Exit a parse tree produced by CSharpParser#namespace_or_type_name.
def exitNamespace_or_type_name(self, ctx: CSharpParser.Namespace_or_type_nameContext):
pass
# Enter a parse tree produced by CSharpParser#cstype.
def enterCstype(self, ctx: CSharpParser.CstypeContext):
pass
# Exit a parse tree produced by CSharpParser#cstype.
def exitCstype(self, ctx: CSharpParser.CstypeContext):
pass
# Enter a parse tree produced by CSharpParser#base_type.
def enterBase_type(self, ctx: CSharpParser.Base_typeContext):
pass
# Exit a parse tree produced by CSharpParser#base_type.
def exitBase_type(self, ctx: CSharpParser.Base_typeContext):
pass
# Enter a parse tree produced by CSharpParser#simple_type.
def enterSimple_type(self, ctx: CSharpParser.Simple_typeContext):
pass
# Exit a parse tree produced by CSharpParser#simple_type.
def exitSimple_type(self, ctx: CSharpParser.Simple_typeContext):
pass
# Enter a parse tree produced by CSharpParser#numeric_type.
def enterNumeric_type(self, ctx: CSharpParser.Numeric_typeContext):
pass
# Exit a parse tree produced by CSharpParser#numeric_type.
def exitNumeric_type(self, ctx: CSharpParser.Numeric_typeContext):
pass
# Enter a parse tree produced by CSharpParser#integral_type.
def enterIntegral_type(self, ctx: CSharpParser.Integral_typeContext):
pass
# Exit a parse tree produced by CSharpParser#integral_type.
def exitIntegral_type(self, ctx: CSharpParser.Integral_typeContext):
pass
# Enter a parse tree produced by CSharpParser#floating_point_type.
def enterFloating_point_type(self, ctx: CSharpParser.Floating_point_typeContext):
pass
# Exit a parse tree produced by CSharpParser#floating_point_type.
def exitFloating_point_type(self, ctx: CSharpParser.Floating_point_typeContext):
pass
# Enter a parse tree produced by CSharpParser#class_type.
def enterClass_type(self, ctx: CSharpParser.Class_typeContext):
pass
# Exit a parse tree produced by CSharpParser#class_type.
def exitClass_type(self, ctx: CSharpParser.Class_typeContext):
pass
# Enter a parse tree produced by CSharpParser#type_argument_list.
def enterType_argument_list(self, ctx: CSharpParser.Type_argument_listContext):
pass
# Exit a parse tree produced by CSharpParser#type_argument_list.
def exitType_argument_list(self, ctx: CSharpParser.Type_argument_listContext):
pass
# Enter a parse tree produced by CSharpParser#argument_list.
def enterArgument_list(self, ctx: CSharpParser.Argument_listContext):
pass
# Exit a parse tree produced by CSharpParser#argument_list.
def exitArgument_list(self, ctx: CSharpParser.Argument_listContext):
pass
# Enter a parse tree produced by CSharpParser#argument.
def enterArgument(self, ctx: CSharpParser.ArgumentContext):
pass
# Exit a parse tree produced by CSharpParser#argument.
def exitArgument(self, ctx: CSharpParser.ArgumentContext):
pass
# Enter a parse tree produced by CSharpParser#expression.
def enterExpression(self, ctx: CSharpParser.ExpressionContext):
pass
# Exit a parse tree produced by CSharpParser#expression.
def exitExpression(self, ctx: CSharpParser.ExpressionContext):
pass
# Enter a parse tree produced by CSharpParser#non_assignment_expression.
def enterNon_assignment_expression(self, ctx: CSharpParser.Non_assignment_expressionContext):
pass
# Exit a parse tree produced by CSharpParser#non_assignment_expression.
def exitNon_assignment_expression(self, ctx: CSharpParser.Non_assignment_expressionContext):
pass
# Enter a parse tree produced by CSharpParser#assignment.
def enterAssignment(self, ctx: CSharpParser.AssignmentContext):
pass
# Exit a parse tree produced by CSharpParser#assignment.
def exitAssignment(self, ctx: CSharpParser.AssignmentContext):
pass
# Enter a parse tree produced by CSharpParser#assignment_operator.
def enterAssignment_operator(self, ctx: CSharpParser.Assignment_operatorContext):
pass
# Exit a parse tree produced by CSharpParser#assignment_operator.
def exitAssignment_operator(self, ctx: CSharpParser.Assignment_operatorContext):
pass
# Enter a parse tree produced by CSharpParser#conditional_expression.
def enterConditional_expression(self, ctx: CSharpParser.Conditional_expressionContext):
pass
# Exit a parse tree produced by CSharpParser#conditional_expression.
def exitConditional_expression(self, ctx: CSharpParser.Conditional_expressionContext):
pass
# Enter a parse tree produced by CSharpParser#null_coalescing_expression.
def enterNull_coalescing_expression(self, ctx: CSharpParser.Null_coalescing_expressionContext):
pass
# Exit a parse tree produced by CSharpParser#null_coalescing_expression.
def exitNull_coalescing_expression(self, ctx: CSharpParser.Null_coalescing_expressionContext):
pass
# Enter a parse tree produced by CSharpParser#conditional_or_expression.
def enterConditional_or_expression(self, ctx: CSharpParser.Conditional_or_expressionContext):
pass
# Exit a parse tree produced by CSharpParser#conditional_or_expression.
def exitConditional_or_expression(self, ctx: CSharpParser.Conditional_or_expressionContext):
pass
# Enter a parse tree produced by CSharpParser#conditional_and_expression.
def enterConditional_and_expression(self, ctx: CSharpParser.Conditional_and_expressionContext):
pass
# Exit a parse tree produced by CSharpParser#conditional_and_expression.
def exitConditional_and_expression(self, ctx: CSharpParser.Conditional_and_expressionContext):
pass
# Enter a parse tree produced by CSharpParser#inclusive_or_expression.
def enterInclusive_or_expression(self, ctx: CSharpParser.Inclusive_or_expressionContext):
pass
# Exit a parse tree produced by CSharpParser#inclusive_or_expression.
def exitInclusive_or_expression(self, ctx: CSharpParser.Inclusive_or_expressionContext):
pass
# Enter a parse tree produced by CSharpParser#exclusive_or_expression.
def enterExclusive_or_expression(self, ctx: CSharpParser.Exclusive_or_expressionContext):
pass
# Exit a parse tree produced by CSharpParser#exclusive_or_expression.
def exitExclusive_or_expression(self, ctx: CSharpParser.Exclusive_or_expressionContext):
pass
# Enter a parse tree produced by CSharpParser#and_expression.
def enterAnd_expression(self, ctx: CSharpParser.And_expressionContext):
pass
# Exit a parse tree produced by CSharpParser#and_expression.
def exitAnd_expression(self, ctx: CSharpParser.And_expressionContext):
pass
# Enter a parse tree produced by CSharpParser#equality_expression.
def enterEquality_expression(self, ctx: CSharpParser.Equality_expressionContext):
pass
# Exit a parse tree produced by CSharpParser#equality_expression.
def exitEquality_expression(self, ctx: CSharpParser.Equality_expressionContext):
pass
# Enter a parse tree produced by CSharpParser#relational_expression.
def enterRelational_expression(self, ctx: CSharpParser.Relational_expressionContext):
pass
# Exit a parse tree produced by CSharpParser#relational_expression.
def exitRelational_expression(self, ctx: CSharpParser.Relational_expressionContext):
pass
# Enter a parse tree produced by CSharpParser#shift_expression.
def enterShift_expression(self, ctx: CSharpParser.Shift_expressionContext):
pass
# Exit a parse tree produced by CSharpParser#shift_expression.
def exitShift_expression(self, ctx: CSharpParser.Shift_expressionContext):
pass
# Enter a parse tree produced by CSharpParser#additive_expression.
def enterAdditive_expression(self, ctx: CSharpParser.Additive_expressionContext):
pass
# Exit a parse tree produced by CSharpParser#additive_expression.
def exitAdditive_expression(self, ctx: CSharpParser.Additive_expressionContext):
pass
# Enter a parse tree produced by CSharpParser#multiplicative_expression.
def enterMultiplicative_expression(self, ctx: CSharpParser.Multiplicative_expressionContext):
pass
# Exit a parse tree produced by CSharpParser#multiplicative_expression.
def exitMultiplicative_expression(self, ctx: CSharpParser.Multiplicative_expressionContext):
pass
# Enter a parse tree produced by CSharpParser#unary_expression.
def enterUnary_expression(self, ctx: CSharpParser.Unary_expressionContext):
pass
# Exit a parse tree produced by CSharpParser#unary_expression.
def exitUnary_expression(self, ctx: CSharpParser.Unary_expressionContext):
pass
# Enter a parse tree produced by CSharpParser#primary_expression.
def enterPrimary_expression(self, ctx: CSharpParser.Primary_expressionContext):
pass
# Exit a parse tree produced by CSharpParser#primary_expression.
def exitPrimary_expression(self, ctx: CSharpParser.Primary_expressionContext):
pass
# Enter a parse tree produced by CSharpParser#literalExpression.
def enterLiteralExpression(self, ctx: CSharpParser.LiteralExpressionContext):
pass
# Exit a parse tree produced by CSharpParser#literalExpression.
def exitLiteralExpression(self, ctx: CSharpParser.LiteralExpressionContext):
pass
# Enter a parse tree produced by CSharpParser#simpleNameExpression.
def enterSimpleNameExpression(self, ctx: CSharpParser.SimpleNameExpressionContext):
pass
# Exit a parse tree produced by CSharpParser#simpleNameExpression.
def exitSimpleNameExpression(self, ctx: CSharpParser.SimpleNameExpressionContext):
pass
# Enter a parse tree produced by CSharpParser#parenthesisExpressions.
def enterParenthesisExpressions(self, ctx: CSharpParser.ParenthesisExpressionsContext):
pass
# Exit a parse tree produced by CSharpParser#parenthesisExpressions.
def exitParenthesisExpressions(self, ctx: CSharpParser.ParenthesisExpressionsContext):
pass
# Enter a parse tree produced by CSharpParser#memberAccessExpression.
def enterMemberAccessExpression(self, ctx: CSharpParser.MemberAccessExpressionContext):
pass
# Exit a parse tree produced by CSharpParser#memberAccessExpression.
def exitMemberAccessExpression(self, ctx: CSharpParser.MemberAccessExpressionContext):
pass
# Enter a parse tree produced by CSharpParser#literalAccessExpression.
def enterLiteralAccessExpression(self, ctx: CSharpParser.LiteralAccessExpressionContext):
pass
# Exit a parse tree produced by CSharpParser#literalAccessExpression.
def exitLiteralAccessExpression(self, ctx: CSharpParser.LiteralAccessExpressionContext):
pass
# Enter a parse tree produced by CSharpParser#thisReferenceExpression.
def enterThisReferenceExpression(self, ctx: CSharpParser.ThisReferenceExpressionContext):
pass
# Exit a parse tree produced by CSharpParser#thisReferenceExpression.
def exitThisReferenceExpression(self, ctx: CSharpParser.ThisReferenceExpressionContext):
pass
# Enter a parse tree produced by CSharpParser#baseAccessExpression.
def enterBaseAccessExpression(self, ctx: CSharpParser.BaseAccessExpressionContext):
pass
# Exit a parse tree produced by CSharpParser#baseAccessExpression.
def exitBaseAccessExpression(self, ctx: CSharpParser.BaseAccessExpressionContext):
pass
# Enter a parse tree produced by CSharpParser#objectCreationExpression.
def enterObjectCreationExpression(self, ctx: CSharpParser.ObjectCreationExpressionContext):
pass
# Exit a parse tree produced by CSharpParser#objectCreationExpression.
def exitObjectCreationExpression(self, ctx: CSharpParser.ObjectCreationExpressionContext):
pass
# Enter a parse tree produced by CSharpParser#typeofExpression.
def enterTypeofExpression(self, ctx: CSharpParser.TypeofExpressionContext):
pass
# Exit a parse tree produced by CSharpParser#typeofExpression.
def exitTypeofExpression(self, ctx: CSharpParser.TypeofExpressionContext):
pass
# Enter a parse tree produced by CSharpParser#checkedExpression.
def enterCheckedExpression(self, ctx: CSharpParser.CheckedExpressionContext):
pass
# Exit a parse tree produced by CSharpParser#checkedExpression.
def exitCheckedExpression(self, ctx: CSharpParser.CheckedExpressionContext):
pass
# Enter a parse tree produced by CSharpParser#uncheckedExpression.
def enterUncheckedExpression(self, ctx: CSharpParser.UncheckedExpressionContext):
pass
# Exit a parse tree produced by CSharpParser#uncheckedExpression.
def exitUncheckedExpression(self, ctx: CSharpParser.UncheckedExpressionContext):
pass
# Enter a parse tree produced by CSharpParser#defaultValueExpression.
def enterDefaultValueExpression(self, ctx: CSharpParser.DefaultValueExpressionContext):
pass
# Exit a parse tree produced by CSharpParser#defaultValueExpression.
def exitDefaultValueExpression(self, ctx: CSharpParser.DefaultValueExpressionContext):
pass
# Enter a parse tree produced by CSharpParser#anonymousMethodExpression.
def enterAnonymousMethodExpression(self, ctx: CSharpParser.AnonymousMethodExpressionContext):
pass
# Exit a parse tree produced by CSharpParser#anonymousMethodExpression.
def exitAnonymousMethodExpression(self, ctx: CSharpParser.AnonymousMethodExpressionContext):
pass
# Enter a parse tree produced by CSharpParser#sizeofExpression.
def enterSizeofExpression(self, ctx: CSharpParser.SizeofExpressionContext):
pass
# Exit a parse tree produced by CSharpParser#sizeofExpression.
def exitSizeofExpression(self, ctx: CSharpParser.SizeofExpressionContext):
pass
# Enter a parse tree produced by CSharpParser#nameofExpression.
def enterNameofExpression(self, ctx: CSharpParser.NameofExpressionContext):
pass
# Exit a parse tree produced by CSharpParser#nameofExpression.
def exitNameofExpression(self, ctx: CSharpParser.NameofExpressionContext):
pass
# Enter a parse tree produced by CSharpParser#member_access.
def enterMember_access(self, ctx: CSharpParser.Member_accessContext):
pass
# Exit a parse tree produced by CSharpParser#member_access.
def exitMember_access(self, ctx: CSharpParser.Member_accessContext):
pass
# Enter a parse tree produced by CSharpParser#bracket_expression.
def enterBracket_expression(self, ctx: CSharpParser.Bracket_expressionContext):
pass
# Exit a parse tree produced by CSharpParser#bracket_expression.
def exitBracket_expression(self, ctx: CSharpParser.Bracket_expressionContext):
pass
# Enter a parse tree produced by CSharpParser#indexer_argument.
def enterIndexer_argument(self, ctx: CSharpParser.Indexer_argumentContext):
pass
# Exit a parse tree produced by CSharpParser#indexer_argument.
def exitIndexer_argument(self, ctx: CSharpParser.Indexer_argumentContext):
pass
# Enter a parse tree produced by CSharpParser#predefined_type.
def enterPredefined_type(self, ctx: CSharpParser.Predefined_typeContext):
pass
# Exit a parse tree produced by CSharpParser#predefined_type.
def exitPredefined_type(self, ctx: CSharpParser.Predefined_typeContext):
pass
# Enter a parse tree produced by CSharpParser#expression_list.
def enterExpression_list(self, ctx: CSharpParser.Expression_listContext):
pass
# Exit a parse tree produced by CSharpParser#expression_list.
def exitExpression_list(self, ctx: CSharpParser.Expression_listContext):
pass
# Enter a parse tree produced by CSharpParser#object_or_collection_initializer.
def enterObject_or_collection_initializer(self, ctx: CSharpParser.Object_or_collection_initializerContext):
pass
# Exit a parse tree produced by CSharpParser#object_or_collection_initializer.
def exitObject_or_collection_initializer(self, ctx: CSharpParser.Object_or_collection_initializerContext):
pass
# Enter a parse tree produced by CSharpParser#object_initializer.
def enterObject_initializer(self, ctx: CSharpParser.Object_initializerContext):
pass
# Exit a parse tree produced by CSharpParser#object_initializer.
def exitObject_initializer(self, ctx: CSharpParser.Object_initializerContext):
pass
# Enter a parse tree produced by CSharpParser#member_initializer_list.
def enterMember_initializer_list(self, ctx: CSharpParser.Member_initializer_listContext):
pass
# Exit a parse tree produced by CSharpParser#member_initializer_list.
def exitMember_initializer_list(self, ctx: CSharpParser.Member_initializer_listContext):
pass
# Enter a parse tree produced by CSharpParser#member_initializer.
def enterMember_initializer(self, ctx: CSharpParser.Member_initializerContext):
pass
# Exit a parse tree produced by CSharpParser#member_initializer.
def exitMember_initializer(self, ctx: CSharpParser.Member_initializerContext):
pass
# Enter a parse tree produced by CSharpParser#initializer_value.
def enterInitializer_value(self, ctx: CSharpParser.Initializer_valueContext):
pass
# Exit a parse tree produced by CSharpParser#initializer_value.
def exitInitializer_value(self, ctx: CSharpParser.Initializer_valueContext):
pass
# Enter a parse tree produced by CSharpParser#collection_initializer.
def enterCollection_initializer(self, ctx: CSharpParser.Collection_initializerContext):
pass
# Exit a parse tree produced by CSharpParser#collection_initializer.
def exitCollection_initializer(self, ctx: CSharpParser.Collection_initializerContext):
pass
# Enter a parse tree produced by CSharpParser#element_initializer.
def enterElement_initializer(self, ctx: CSharpParser.Element_initializerContext):
pass
# Exit a parse tree produced by CSharpParser#element_initializer.
def exitElement_initializer(self, ctx: CSharpParser.Element_initializerContext):
pass
# Enter a parse tree produced by CSharpParser#anonymous_object_initializer.
def enterAnonymous_object_initializer(self, ctx: CSharpParser.Anonymous_object_initializerContext):
pass
# Exit a parse tree produced by CSharpParser#anonymous_object_initializer.
def exitAnonymous_object_initializer(self, ctx: CSharpParser.Anonymous_object_initializerContext):
pass
# Enter a parse tree produced by CSharpParser#member_declarator_list.
def enterMember_declarator_list(self, ctx: CSharpParser.Member_declarator_listContext):
pass
# Exit a parse tree produced by CSharpParser#member_declarator_list.
def exitMember_declarator_list(self, ctx: CSharpParser.Member_declarator_listContext):
pass
# Enter a parse tree produced by CSharpParser#member_declarator.
def enterMember_declarator(self, ctx: CSharpParser.Member_declaratorContext):
pass
# Exit a parse tree produced by CSharpParser#member_declarator.
def exitMember_declarator(self, ctx: CSharpParser.Member_declaratorContext):
pass
# Enter a parse tree produced by CSharpParser#unbound_type_name.
def enterUnbound_type_name(self, ctx: CSharpParser.Unbound_type_nameContext):
pass
# Exit a parse tree produced by CSharpParser#unbound_type_name.
def exitUnbound_type_name(self, ctx: CSharpParser.Unbound_type_nameContext):
pass
# Enter a parse tree produced by CSharpParser#generic_dimension_specifier.
def enterGeneric_dimension_specifier(self, ctx: CSharpParser.Generic_dimension_specifierContext):
pass
# Exit a parse tree produced by CSharpParser#generic_dimension_specifier.
def exitGeneric_dimension_specifier(self, ctx: CSharpParser.Generic_dimension_specifierContext):
pass
# Enter a parse tree produced by CSharpParser#isType.
def enterIsType(self, ctx: CSharpParser.IsTypeContext):
pass
# Exit a parse tree produced by CSharpParser#isType.
def exitIsType(self, ctx: CSharpParser.IsTypeContext):
pass
# Enter a parse tree produced by CSharpParser#lambda_expression.
def enterLambda_expression(self, ctx: CSharpParser.Lambda_expressionContext):
pass
# Exit a parse tree produced by CSharpParser#lambda_expression.
def exitLambda_expression(self, ctx: CSharpParser.Lambda_expressionContext):
pass
# Enter a parse tree produced by CSharpParser#anonymous_function_signature.
def enterAnonymous_function_signature(self, ctx: CSharpParser.Anonymous_function_signatureContext):
pass
# Exit a parse tree produced by CSharpParser#anonymous_function_signature.
def exitAnonymous_function_signature(self, ctx: CSharpParser.Anonymous_function_signatureContext):
pass
# Enter a parse tree produced by CSharpParser#explicit_anonymous_function_parameter_list.
def enterExplicit_anonymous_function_parameter_list(self, ctx: CSharpParser.Explicit_anonymous_function_parameter_listContext):
pass
# Exit a parse tree produced by CSharpParser#explicit_anonymous_function_parameter_list.
def exitExplicit_anonymous_function_parameter_list(self, ctx: CSharpParser.Explicit_anonymous_function_parameter_listContext):
pass
# Enter a parse tree produced by CSharpParser#explicit_anonymous_function_parameter.
def enterExplicit_anonymous_function_parameter(self, ctx: CSharpParser.Explicit_anonymous_function_parameterContext):
pass
# Exit a parse tree produced by CSharpParser#explicit_anonymous_function_parameter.
def exitExplicit_anonymous_function_parameter(self, ctx: CSharpParser.Explicit_anonymous_function_parameterContext):
pass
# Enter a parse tree produced by CSharpParser#implicit_anonymous_function_parameter_list.
def enterImplicit_anonymous_function_parameter_list(self, ctx: CSharpParser.Implicit_anonymous_function_parameter_listContext):
pass
# Exit a parse tree produced by CSharpParser#implicit_anonymous_function_parameter_list.
def exitImplicit_anonymous_function_parameter_list(self, ctx: CSharpParser.Implicit_anonymous_function_parameter_listContext):
pass
# Enter a parse tree produced by CSharpParser#anonymous_function_body.
def enterAnonymous_function_body(self, ctx: CSharpParser.Anonymous_function_bodyContext):
pass
# Exit a parse tree produced by CSharpParser#anonymous_function_body.
def exitAnonymous_function_body(self, ctx: CSharpParser.Anonymous_function_bodyContext):
pass
# Enter a parse tree produced by CSharpParser#query_expression.
def enterQuery_expression(self, ctx: CSharpParser.Query_expressionContext):
pass
# Exit a parse tree produced by CSharpParser#query_expression.
def exitQuery_expression(self, ctx: CSharpParser.Query_expressionContext):
pass
# Enter a parse tree produced by CSharpParser#from_clause.
def enterFrom_clause(self, ctx: CSharpParser.From_clauseContext):
pass
# Exit a parse tree produced by CSharpParser#from_clause.
def exitFrom_clause(self, ctx: CSharpParser.From_clauseContext):
pass
# Enter a parse tree produced by CSharpParser#query_body.
def enterQuery_body(self, ctx: CSharpParser.Query_bodyContext):
pass
# Exit a parse tree produced by CSharpParser#query_body.
def exitQuery_body(self, ctx: CSharpParser.Query_bodyContext):
pass
# Enter a parse tree produced by CSharpParser#query_body_clause.
def enterQuery_body_clause(self, ctx: CSharpParser.Query_body_clauseContext):
pass
# Exit a parse tree produced by CSharpParser#query_body_clause.
def exitQuery_body_clause(self, ctx: CSharpParser.Query_body_clauseContext):
pass
# Enter a parse tree produced by CSharpParser#let_clause.
def enterLet_clause(self, ctx: CSharpParser.Let_clauseContext):
pass
# Exit a parse tree produced by CSharpParser#let_clause.
def exitLet_clause(self, ctx: CSharpParser.Let_clauseContext):
pass
# Enter a parse tree produced by CSharpParser#where_clause.
def enterWhere_clause(self, ctx: CSharpParser.Where_clauseContext):
pass
# Exit a parse tree produced by CSharpParser#where_clause.
def exitWhere_clause(self, ctx: CSharpParser.Where_clauseContext):
pass
# Enter a parse tree produced by CSharpParser#combined_join_clause.
def enterCombined_join_clause(self, ctx: CSharpParser.Combined_join_clauseContext):
pass
# Exit a parse tree produced by CSharpParser#combined_join_clause.
def exitCombined_join_clause(self, ctx: CSharpParser.Combined_join_clauseContext):
pass
# Enter a parse tree produced by CSharpParser#orderby_clause.
def enterOrderby_clause(self, ctx: CSharpParser.Orderby_clauseContext):
pass
# Exit a parse tree produced by CSharpParser#orderby_clause.
def exitOrderby_clause(self, ctx: CSharpParser.Orderby_clauseContext):
pass
# Enter a parse tree produced by CSharpParser#ordering.
def enterOrdering(self, ctx: CSharpParser.OrderingContext):
pass
# Exit a parse tree produced by CSharpParser#ordering.
def exitOrdering(self, ctx: CSharpParser.OrderingContext):
pass
# Enter a parse tree produced by CSharpParser#select_or_group_clause.
def enterSelect_or_group_clause(self, ctx: CSharpParser.Select_or_group_clauseContext):
pass
# Exit a parse tree produced by CSharpParser#select_or_group_clause.
def exitSelect_or_group_clause(self, ctx: CSharpParser.Select_or_group_clauseContext):
pass
# Enter a parse tree produced by CSharpParser#query_continuation.
def enterQuery_continuation(self, ctx: CSharpParser.Query_continuationContext):
pass
# Exit a parse tree produced by CSharpParser#query_continuation.
def exitQuery_continuation(self, ctx: CSharpParser.Query_continuationContext):
pass
# Enter a parse tree produced by CSharpParser#labeledStatement.
def enterLabeledStatement(self, ctx: CSharpParser.LabeledStatementContext):
pass
# Exit a parse tree produced by CSharpParser#labeledStatement.
def exitLabeledStatement(self, ctx: CSharpParser.LabeledStatementContext):
pass
# Enter a parse tree produced by CSharpParser#declarationStatement.
def enterDeclarationStatement(self, ctx: CSharpParser.DeclarationStatementContext):
pass
# Exit a parse tree produced by CSharpParser#declarationStatement.
def exitDeclarationStatement(self, ctx: CSharpParser.DeclarationStatementContext):
pass
# Enter a parse tree produced by CSharpParser#embeddedStatement.
def enterEmbeddedStatement(self, ctx: CSharpParser.EmbeddedStatementContext):
pass
# Exit a parse tree produced by CSharpParser#embeddedStatement.
def exitEmbeddedStatement(self, ctx: CSharpParser.EmbeddedStatementContext):
pass
# Enter a parse tree produced by CSharpParser#labeled_Statement.
def enterLabeled_Statement(self, ctx: CSharpParser.Labeled_StatementContext):
pass
# Exit a parse tree produced by CSharpParser#labeled_Statement.
def exitLabeled_Statement(self, ctx: CSharpParser.Labeled_StatementContext):
pass
# Enter a parse tree produced by CSharpParser#embedded_statement.
def enterEmbedded_statement(self, ctx: CSharpParser.Embedded_statementContext):
pass
# Exit a parse tree produced by CSharpParser#embedded_statement.
def exitEmbedded_statement(self, ctx: CSharpParser.Embedded_statementContext):
pass
# Enter a parse tree produced by CSharpParser#emptyStatement.
def enterEmptyStatement(self, ctx: CSharpParser.EmptyStatementContext):
pass
# Exit a parse tree produced by CSharpParser#emptyStatement.
def exitEmptyStatement(self, ctx: CSharpParser.EmptyStatementContext):
pass
# Enter a parse tree produced by CSharpParser#expressionStatement.
def enterExpressionStatement(self, ctx: CSharpParser.ExpressionStatementContext):
pass
# Exit a parse tree produced by CSharpParser#expressionStatement.
def exitExpressionStatement(self, ctx: CSharpParser.ExpressionStatementContext):
pass
# Enter a parse tree produced by CSharpParser#ifStatement.
def enterIfStatement(self, ctx: CSharpParser.IfStatementContext):
pass
# Exit a parse tree produced by CSharpParser#ifStatement.
def exitIfStatement(self, ctx: CSharpParser.IfStatementContext):
pass
# Enter a parse tree produced by CSharpParser#switchStatement.
def enterSwitchStatement(self, ctx: CSharpParser.SwitchStatementContext):
pass
# Exit a parse tree produced by CSharpParser#switchStatement.
def exitSwitchStatement(self, ctx: CSharpParser.SwitchStatementContext):
pass
# Enter a parse tree produced by CSharpParser#whileStatement.
def enterWhileStatement(self, ctx: CSharpParser.WhileStatementContext):
pass
# Exit a parse tree produced by CSharpParser#whileStatement.
def exitWhileStatement(self, ctx: CSharpParser.WhileStatementContext):
pass
# Enter a parse tree produced by CSharpParser#doStatement.
def enterDoStatement(self, ctx: CSharpParser.DoStatementContext):
pass
# Exit a parse tree produced by CSharpParser#doStatement.
def exitDoStatement(self, ctx: CSharpParser.DoStatementContext):
pass
# Enter a parse tree produced by CSharpParser#forStatement.
def enterForStatement(self, ctx: CSharpParser.ForStatementContext):
pass
# Exit a parse tree produced by CSharpParser#forStatement.
def exitForStatement(self, ctx: CSharpParser.ForStatementContext):
pass
# Enter a parse tree produced by CSharpParser#foreachStatement.
def enterForeachStatement(self, ctx: CSharpParser.ForeachStatementContext):
pass
# Exit a parse tree produced by CSharpParser#foreachStatement.
def exitForeachStatement(self, ctx: CSharpParser.ForeachStatementContext):
pass
# Enter a parse tree produced by CSharpParser#breakStatement.
def enterBreakStatement(self, ctx: CSharpParser.BreakStatementContext):
pass
# Exit a parse tree produced by CSharpParser#breakStatement.
def exitBreakStatement(self, ctx: CSharpParser.BreakStatementContext):
pass
# Enter a parse tree produced by CSharpParser#continueStatement.
def enterContinueStatement(self, ctx: CSharpParser.ContinueStatementContext):
pass
# Exit a parse tree produced by CSharpParser#continueStatement.
def exitContinueStatement(self, ctx: CSharpParser.ContinueStatementContext):
pass
# Enter a parse tree produced by CSharpParser#gotoStatement.
def enterGotoStatement(self, ctx: CSharpParser.GotoStatementContext):
pass
# Exit a parse tree produced by CSharpParser#gotoStatement.
def exitGotoStatement(self, ctx: CSharpParser.GotoStatementContext):
pass
# Enter a parse tree produced by CSharpParser#returnStatement.
def enterReturnStatement(self, ctx: CSharpParser.ReturnStatementContext):
pass
# Exit a parse tree produced by CSharpParser#returnStatement.
def exitReturnStatement(self, ctx: CSharpParser.ReturnStatementContext):
pass
# Enter a parse tree produced by CSharpParser#throwStatement.
def enterThrowStatement(self, ctx: CSharpParser.ThrowStatementContext):
pass
# Exit a parse tree produced by CSharpParser#throwStatement.
def exitThrowStatement(self, ctx: CSharpParser.ThrowStatementContext):
pass
# Enter a parse tree produced by CSharpParser#tryStatement.
def enterTryStatement(self, ctx: CSharpParser.TryStatementContext):
pass
# Exit a parse tree produced by CSharpParser#tryStatement.
def exitTryStatement(self, ctx: CSharpParser.TryStatementContext):
pass
# Enter a parse tree produced by CSharpParser#checkedStatement.
def enterCheckedStatement(self, ctx: CSharpParser.CheckedStatementContext):
pass
# Exit a parse tree produced by CSharpParser#checkedStatement.
def exitCheckedStatement(self, ctx: CSharpParser.CheckedStatementContext):
pass
# Enter a parse tree produced by CSharpParser#uncheckedStatement.
def enterUncheckedStatement(self, ctx: CSharpParser.UncheckedStatementContext):
pass
# Exit a parse tree produced by CSharpParser#uncheckedStatement.
def exitUncheckedStatement(self, ctx: CSharpParser.UncheckedStatementContext):
pass
# Enter a parse tree produced by CSharpParser#lockStatement.
def enterLockStatement(self, ctx: CSharpParser.LockStatementContext):
pass
# Exit a parse tree produced by CSharpParser#lockStatement.
def exitLockStatement(self, ctx: CSharpParser.LockStatementContext):
pass
# Enter a parse tree produced by CSharpParser#usingStatement.
def enterUsingStatement(self, ctx: CSharpParser.UsingStatementContext):
pass
# Exit a parse tree produced by CSharpParser#usingStatement.
def exitUsingStatement(self, ctx: CSharpParser.UsingStatementContext):
pass
# Enter a parse tree produced by CSharpParser#yieldStatement.
def enterYieldStatement(self, ctx: CSharpParser.YieldStatementContext):
pass
# Exit a parse tree produced by CSharpParser#yieldStatement.
def exitYieldStatement(self, ctx: CSharpParser.YieldStatementContext):
pass
# Enter a parse tree produced by CSharpParser#unsafeStatement.
def enterUnsafeStatement(self, ctx: CSharpParser.UnsafeStatementContext):
pass
# Exit a parse tree produced by CSharpParser#unsafeStatement.
def exitUnsafeStatement(self, ctx: CSharpParser.UnsafeStatementContext):
pass
# Enter a parse tree produced by CSharpParser#fixedStatement.
def enterFixedStatement(self, ctx: CSharpParser.FixedStatementContext):
pass
# Exit a parse tree produced by CSharpParser#fixedStatement.
def exitFixedStatement(self, ctx: CSharpParser.FixedStatementContext):
pass
# Enter a parse tree produced by CSharpParser#block.
def enterBlock(self, ctx: CSharpParser.BlockContext):
pass
# Exit a parse tree produced by CSharpParser#block.
def exitBlock(self, ctx: CSharpParser.BlockContext):
pass
# Enter a parse tree produced by CSharpParser#local_variable_declaration.
def enterLocal_variable_declaration(self, ctx: CSharpParser.Local_variable_declarationContext):
pass
# Exit a parse tree produced by CSharpParser#local_variable_declaration.
def exitLocal_variable_declaration(self, ctx: CSharpParser.Local_variable_declarationContext):
pass
# Enter a parse tree produced by CSharpParser#local_variable_type.
def enterLocal_variable_type(self, ctx: CSharpParser.Local_variable_typeContext):
pass
# Exit a parse tree produced by CSharpParser#local_variable_type.
def exitLocal_variable_type(self, ctx: CSharpParser.Local_variable_typeContext):
pass
# Enter a parse tree produced by CSharpParser#local_variable_declarator.
def enterLocal_variable_declarator(self, ctx: CSharpParser.Local_variable_declaratorContext):
pass
# Exit a parse tree produced by CSharpParser#local_variable_declarator.
def exitLocal_variable_declarator(self, ctx: CSharpParser.Local_variable_declaratorContext):
pass
# Enter a parse tree produced by CSharpParser#local_variable_initializer.
def enterLocal_variable_initializer(self, ctx: CSharpParser.Local_variable_initializerContext):
pass
# Exit a parse tree produced by CSharpParser#local_variable_initializer.
def exitLocal_variable_initializer(self, ctx: CSharpParser.Local_variable_initializerContext):
pass
# Enter a parse tree produced by CSharpParser#local_constant_declaration.
def enterLocal_constant_declaration(self, ctx: CSharpParser.Local_constant_declarationContext):
pass
# Exit a parse tree produced by CSharpParser#local_constant_declaration.
def exitLocal_constant_declaration(self, ctx: CSharpParser.Local_constant_declarationContext):
pass
# Enter a parse tree produced by CSharpParser#if_body.
def enterIf_body(self, ctx: CSharpParser.If_bodyContext):
pass
# Exit a parse tree produced by CSharpParser#if_body.
def exitIf_body(self, ctx: CSharpParser.If_bodyContext):
pass
# Enter a parse tree produced by CSharpParser#switch_section.
def enterSwitch_section(self, ctx: CSharpParser.Switch_sectionContext):
pass
# Exit a parse tree produced by CSharpParser#switch_section.
def exitSwitch_section(self, ctx: CSharpParser.Switch_sectionContext):
pass
# Enter a parse tree produced by CSharpParser#switch_label.
def enterSwitch_label(self, ctx: CSharpParser.Switch_labelContext):
pass
# Exit a parse tree produced by CSharpParser#switch_label.
def exitSwitch_label(self, ctx: CSharpParser.Switch_labelContext):
pass
# Enter a parse tree produced by CSharpParser#statement_list.
def enterStatement_list(self, ctx: CSharpParser.Statement_listContext):
pass
# Exit a parse tree produced by CSharpParser#statement_list.
def exitStatement_list(self, ctx: CSharpParser.Statement_listContext):
pass
# Enter a parse tree produced by CSharpParser#for_initializer.
def enterFor_initializer(self, ctx: CSharpParser.For_initializerContext):
pass
# Exit a parse tree produced by CSharpParser#for_initializer.
def exitFor_initializer(self, ctx: CSharpParser.For_initializerContext):
pass
# Enter a parse tree produced by CSharpParser#for_iterator.
def enterFor_iterator(self, ctx: CSharpParser.For_iteratorContext):
pass
# Exit a parse tree produced by CSharpParser#for_iterator.
def exitFor_iterator(self, ctx: CSharpParser.For_iteratorContext):
pass
# Enter a parse tree produced by CSharpParser#catch_clauses.
def enterCatch_clauses(self, ctx: CSharpParser.Catch_clausesContext):
pass
# Exit a parse tree produced by CSharpParser#catch_clauses.
def exitCatch_clauses(self, ctx: CSharpParser.Catch_clausesContext):
pass
# Enter a parse tree produced by CSharpParser#specific_catch_clause.
def enterSpecific_catch_clause(self, ctx: CSharpParser.Specific_catch_clauseContext):
pass
# Exit a parse tree produced by CSharpParser#specific_catch_clause.
def exitSpecific_catch_clause(self, ctx: CSharpParser.Specific_catch_clauseContext):
pass
# Enter a parse tree produced by CSharpParser#general_catch_clause.
def enterGeneral_catch_clause(self, ctx: CSharpParser.General_catch_clauseContext):
pass
# Exit a parse tree produced by CSharpParser#general_catch_clause.
def exitGeneral_catch_clause(self, ctx: CSharpParser.General_catch_clauseContext):
pass
# Enter a parse tree produced by CSharpParser#exception_filter.
def enterException_filter(self, ctx: CSharpParser.Exception_filterContext):
pass
# Exit a parse tree produced by CSharpParser#exception_filter.
def exitException_filter(self, ctx: CSharpParser.Exception_filterContext):
pass
# Enter a parse tree produced by CSharpParser#finally_clause.
def enterFinally_clause(self, ctx: CSharpParser.Finally_clauseContext):
pass
# Exit a parse tree produced by CSharpParser#finally_clause.
def exitFinally_clause(self, ctx: CSharpParser.Finally_clauseContext):
pass
# Enter a parse tree produced by CSharpParser#resource_acquisition.
def enterResource_acquisition(self, ctx: CSharpParser.Resource_acquisitionContext):
pass
# Exit a parse tree produced by CSharpParser#resource_acquisition.
def exitResource_acquisition(self, ctx: CSharpParser.Resource_acquisitionContext):
pass
# Enter a parse tree produced by CSharpParser#namespace_declaration.
def enterNamespace_declaration(self, ctx: CSharpParser.Namespace_declarationContext):
pass
# Exit a parse tree produced by CSharpParser#namespace_declaration.
def exitNamespace_declaration(self, ctx: CSharpParser.Namespace_declarationContext):
pass
# Enter a parse tree produced by CSharpParser#qualified_identifier.
def enterQualified_identifier(self, ctx: CSharpParser.Qualified_identifierContext):
pass
# Exit a parse tree produced by CSharpParser#qualified_identifier.
def exitQualified_identifier(self, ctx: CSharpParser.Qualified_identifierContext):
pass
# Enter a parse tree produced by CSharpParser#namespace_body.
def enterNamespace_body(self, ctx: CSharpParser.Namespace_bodyContext):
pass
# Exit a parse tree produced by CSharpParser#namespace_body.
def exitNamespace_body(self, ctx: CSharpParser.Namespace_bodyContext):
pass
# Enter a parse tree produced by CSharpParser#extern_alias_directives.
def enterExtern_alias_directives(self, ctx: CSharpParser.Extern_alias_directivesContext):
pass
# Exit a parse tree produced by CSharpParser#extern_alias_directives.
def exitExtern_alias_directives(self, ctx: CSharpParser.Extern_alias_directivesContext):
pass
# Enter a parse tree produced by CSharpParser#extern_alias_directive.
def enterExtern_alias_directive(self, ctx: CSharpParser.Extern_alias_directiveContext):
pass
# Exit a parse tree produced by CSharpParser#extern_alias_directive.
def exitExtern_alias_directive(self, ctx: CSharpParser.Extern_alias_directiveContext):
pass
# Enter a parse tree produced by CSharpParser#using_directives.
def enterUsing_directives(self, ctx: CSharpParser.Using_directivesContext):
pass
# Exit a parse tree produced by CSharpParser#using_directives.
def exitUsing_directives(self, ctx: CSharpParser.Using_directivesContext):
pass
# Enter a parse tree produced by CSharpParser#usingAliasDirective.
def enterUsingAliasDirective(self, ctx: CSharpParser.UsingAliasDirectiveContext):
pass
# Exit a parse tree produced by CSharpParser#usingAliasDirective.
def exitUsingAliasDirective(self, ctx: CSharpParser.UsingAliasDirectiveContext):
pass
# Enter a parse tree produced by CSharpParser#usingNamespaceDirective.
def enterUsingNamespaceDirective(self, ctx: CSharpParser.UsingNamespaceDirectiveContext):
pass
# Exit a parse tree produced by CSharpParser#usingNamespaceDirective.
def exitUsingNamespaceDirective(self, ctx: CSharpParser.UsingNamespaceDirectiveContext):
pass
# Enter a parse tree produced by CSharpParser#usingStaticDirective.
def enterUsingStaticDirective(self, ctx: CSharpParser.UsingStaticDirectiveContext):
pass
# Exit a parse tree produced by CSharpParser#usingStaticDirective.
def exitUsingStaticDirective(self, ctx: CSharpParser.UsingStaticDirectiveContext):
pass
# Enter a parse tree produced by CSharpParser#namespace_member_declarations.
def enterNamespace_member_declarations(self, ctx: CSharpParser.Namespace_member_declarationsContext):
pass
# Exit a parse tree produced by CSharpParser#namespace_member_declarations.
def exitNamespace_member_declarations(self, ctx: CSharpParser.Namespace_member_declarationsContext):
pass
# Enter a parse tree produced by CSharpParser#namespace_member_declaration.
def enterNamespace_member_declaration(self, ctx: CSharpParser.Namespace_member_declarationContext):
pass
# Exit a parse tree produced by CSharpParser#namespace_member_declaration.
def exitNamespace_member_declaration(self, ctx: CSharpParser.Namespace_member_declarationContext):
pass
# Enter a parse tree produced by CSharpParser#type_declaration.
def enterType_declaration(self, ctx: CSharpParser.Type_declarationContext):
pass
# Exit a parse tree produced by CSharpParser#type_declaration.
def exitType_declaration(self, ctx: CSharpParser.Type_declarationContext):
pass
# Enter a parse tree produced by CSharpParser#qualified_alias_member.
def enterQualified_alias_member(self, ctx: CSharpParser.Qualified_alias_memberContext):
pass
# Exit a parse tree produced by CSharpParser#qualified_alias_member.
def exitQualified_alias_member(self, ctx: CSharpParser.Qualified_alias_memberContext):
pass
# Enter a parse tree produced by CSharpParser#type_parameter_list.
def enterType_parameter_list(self, ctx: CSharpParser.Type_parameter_listContext):
pass
# Exit a parse tree produced by CSharpParser#type_parameter_list.
def exitType_parameter_list(self, ctx: CSharpParser.Type_parameter_listContext):
pass
# Enter a parse tree produced by CSharpParser#type_parameter.
def enterType_parameter(self, ctx: CSharpParser.Type_parameterContext):
pass
# Exit a parse tree produced by CSharpParser#type_parameter.
def exitType_parameter(self, ctx: CSharpParser.Type_parameterContext):
pass
# Enter a parse tree produced by CSharpParser#class_base.
def enterClass_base(self, ctx: CSharpParser.Class_baseContext):
pass
# Exit a parse tree produced by CSharpParser#class_base.
def exitClass_base(self, ctx: CSharpParser.Class_baseContext):
pass
# Enter a parse tree produced by CSharpParser#interface_type_list.
def enterInterface_type_list(self, ctx: CSharpParser.Interface_type_listContext):
pass
# Exit a parse tree produced by CSharpParser#interface_type_list.
def exitInterface_type_list(self, ctx: CSharpParser.Interface_type_listContext):
pass
# Enter a parse tree produced by CSharpParser#type_parameter_constraints_clauses.
def enterType_parameter_constraints_clauses(self, ctx: CSharpParser.Type_parameter_constraints_clausesContext):
pass
# Exit a parse tree produced by CSharpParser#type_parameter_constraints_clauses.
def exitType_parameter_constraints_clauses(self, ctx: CSharpParser.Type_parameter_constraints_clausesContext):
pass
# Enter a parse tree produced by CSharpParser#type_parameter_constraints_clause.
def enterType_parameter_constraints_clause(self, ctx: CSharpParser.Type_parameter_constraints_clauseContext):
pass
# Exit a parse tree produced by CSharpParser#type_parameter_constraints_clause.
def exitType_parameter_constraints_clause(self, ctx: CSharpParser.Type_parameter_constraints_clauseContext):
pass
# Enter a parse tree produced by CSharpParser#type_parameter_constraints.
def enterType_parameter_constraints(self, ctx: CSharpParser.Type_parameter_constraintsContext):
pass
# Exit a parse tree produced by CSharpParser#type_parameter_constraints.
def exitType_parameter_constraints(self, ctx: CSharpParser.Type_parameter_constraintsContext):
pass
# Enter a parse tree produced by CSharpParser#primary_constraint.
def enterPrimary_constraint(self, ctx: CSharpParser.Primary_constraintContext):
pass
# Exit a parse tree produced by CSharpParser#primary_constraint.
def exitPrimary_constraint(self, ctx: CSharpParser.Primary_constraintContext):
pass
# Enter a parse tree produced by CSharpParser#secondary_constraints.
def enterSecondary_constraints(self, ctx: CSharpParser.Secondary_constraintsContext):
pass
# Exit a parse tree produced by CSharpParser#secondary_constraints.
def exitSecondary_constraints(self, ctx: CSharpParser.Secondary_constraintsContext):
pass
# Enter a parse tree produced by CSharpParser#constructor_constraint.
def enterConstructor_constraint(self, ctx: CSharpParser.Constructor_constraintContext):
pass
# Exit a parse tree produced by CSharpParser#constructor_constraint.
def exitConstructor_constraint(self, ctx: CSharpParser.Constructor_constraintContext):
pass
# Enter a parse tree produced by CSharpParser#class_body.
def enterClass_body(self, ctx: CSharpParser.Class_bodyContext):
pass
# Exit a parse tree produced by CSharpParser#class_body.
def exitClass_body(self, ctx: CSharpParser.Class_bodyContext):
pass
# Enter a parse tree produced by CSharpParser#class_member_declarations.
def enterClass_member_declarations(self, ctx: CSharpParser.Class_member_declarationsContext):
pass
# Exit a parse tree produced by CSharpParser#class_member_declarations.
def exitClass_member_declarations(self, ctx: CSharpParser.Class_member_declarationsContext):
pass
# Enter a parse tree produced by CSharpParser#class_member_declaration.
def enterClass_member_declaration(self, ctx: CSharpParser.Class_member_declarationContext):
pass
# Exit a parse tree produced by CSharpParser#class_member_declaration.
def exitClass_member_declaration(self, ctx: CSharpParser.Class_member_declarationContext):
pass
# Enter a parse tree produced by CSharpParser#all_member_modifiers.
def enterAll_member_modifiers(self, ctx: CSharpParser.All_member_modifiersContext):
pass
# Exit a parse tree produced by CSharpParser#all_member_modifiers.
def exitAll_member_modifiers(self, ctx: CSharpParser.All_member_modifiersContext):
pass
# Enter a parse tree produced by CSharpParser#all_member_modifier.
def enterAll_member_modifier(self, ctx: CSharpParser.All_member_modifierContext):
pass
# Exit a parse tree produced by CSharpParser#all_member_modifier.
def exitAll_member_modifier(self, ctx: CSharpParser.All_member_modifierContext):
pass
# Enter a parse tree produced by CSharpParser#common_member_declaration.
def enterCommon_member_declaration(self, ctx: CSharpParser.Common_member_declarationContext):
pass
# Exit a parse tree produced by CSharpParser#common_member_declaration.
def exitCommon_member_declaration(self, ctx: CSharpParser.Common_member_declarationContext):
pass
# Enter a parse tree produced by CSharpParser#typed_member_declaration.
def enterTyped_member_declaration(self, ctx: CSharpParser.Typed_member_declarationContext):
pass
# Exit a parse tree produced by CSharpParser#typed_member_declaration.
def exitTyped_member_declaration(self, ctx: CSharpParser.Typed_member_declarationContext):
pass
# Enter a parse tree produced by CSharpParser#constant_declarators.
def enterConstant_declarators(self, ctx: CSharpParser.Constant_declaratorsContext):
pass
# Exit a parse tree produced by CSharpParser#constant_declarators.
def exitConstant_declarators(self, ctx: CSharpParser.Constant_declaratorsContext):
pass
# Enter a parse tree produced by CSharpParser#constant_declarator.
def enterConstant_declarator(self, ctx: CSharpParser.Constant_declaratorContext):
pass
# Exit a parse tree produced by CSharpParser#constant_declarator.
def exitConstant_declarator(self, ctx: CSharpParser.Constant_declaratorContext):
pass
# Enter a parse tree produced by CSharpParser#variable_declarators.
def enterVariable_declarators(self, ctx: CSharpParser.Variable_declaratorsContext):
pass
# Exit a parse tree produced by CSharpParser#variable_declarators.
def exitVariable_declarators(self, ctx: CSharpParser.Variable_declaratorsContext):
pass
# Enter a parse tree produced by CSharpParser#variable_declarator.
def enterVariable_declarator(self, ctx: CSharpParser.Variable_declaratorContext):
pass
# Exit a parse tree produced by CSharpParser#variable_declarator.
def exitVariable_declarator(self, ctx: CSharpParser.Variable_declaratorContext):
pass
# Enter a parse tree produced by CSharpParser#variable_initializer.
def enterVariable_initializer(self, ctx: CSharpParser.Variable_initializerContext):
pass
# Exit a parse tree produced by CSharpParser#variable_initializer.
def exitVariable_initializer(self, ctx: CSharpParser.Variable_initializerContext):
pass
# Enter a parse tree produced by CSharpParser#return_type.
def enterReturn_type(self, ctx: CSharpParser.Return_typeContext):
pass
# Exit a parse tree produced by CSharpParser#return_type.
def exitReturn_type(self, ctx: CSharpParser.Return_typeContext):
pass
# Enter a parse tree produced by CSharpParser#member_name.
def enterMember_name(self, ctx: CSharpParser.Member_nameContext):
pass
# Exit a parse tree produced by CSharpParser#member_name.
def exitMember_name(self, ctx: CSharpParser.Member_nameContext):
pass
# Enter a parse tree produced by CSharpParser#method_body.
def enterMethod_body(self, ctx: CSharpParser.Method_bodyContext):
pass
# Exit a parse tree produced by CSharpParser#method_body.
def exitMethod_body(self, ctx: CSharpParser.Method_bodyContext):
pass
# Enter a parse tree produced by CSharpParser#formal_parameter_list.
def enterFormal_parameter_list(self, ctx: CSharpParser.Formal_parameter_listContext):
pass
# Exit a parse tree produced by CSharpParser#formal_parameter_list.
def exitFormal_parameter_list(self, ctx: CSharpParser.Formal_parameter_listContext):
pass
# Enter a parse tree produced by CSharpParser#fixed_parameters.
def enterFixed_parameters(self, ctx: CSharpParser.Fixed_parametersContext):
pass
# Exit a parse tree produced by CSharpParser#fixed_parameters.
def exitFixed_parameters(self, ctx: CSharpParser.Fixed_parametersContext):
pass
# Enter a parse tree produced by CSharpParser#fixed_parameter.
def enterFixed_parameter(self, ctx: CSharpParser.Fixed_parameterContext):
pass
# Exit a parse tree produced by CSharpParser#fixed_parameter.
def exitFixed_parameter(self, ctx: CSharpParser.Fixed_parameterContext):
pass
# Enter a parse tree produced by CSharpParser#parameter_modifier.
def enterParameter_modifier(self, ctx: CSharpParser.Parameter_modifierContext):
pass
# Exit a parse tree produced by CSharpParser#parameter_modifier.
def exitParameter_modifier(self, ctx: CSharpParser.Parameter_modifierContext):
pass
# Enter a parse tree produced by CSharpParser#parameter_array.
def enterParameter_array(self, ctx: CSharpParser.Parameter_arrayContext):
pass
# Exit a parse tree produced by CSharpParser#parameter_array.
def exitParameter_array(self, ctx: CSharpParser.Parameter_arrayContext):
pass
# Enter a parse tree produced by CSharpParser#accessor_declarations.
def enterAccessor_declarations(self, ctx: CSharpParser.Accessor_declarationsContext):
pass
# Exit a parse tree produced by CSharpParser#accessor_declarations.
def exitAccessor_declarations(self, ctx: CSharpParser.Accessor_declarationsContext):
pass
# Enter a parse tree produced by CSharpParser#get_accessor_declaration.
def enterGet_accessor_declaration(self, ctx: CSharpParser.Get_accessor_declarationContext):
pass
# Exit a parse tree produced by CSharpParser#get_accessor_declaration.
def exitGet_accessor_declaration(self, ctx: CSharpParser.Get_accessor_declarationContext):
pass
# Enter a parse tree produced by CSharpParser#set_accessor_declaration.
def enterSet_accessor_declaration(self, ctx: CSharpParser.Set_accessor_declarationContext):
pass
# Exit a parse tree produced by CSharpParser#set_accessor_declaration.
def exitSet_accessor_declaration(self, ctx: CSharpParser.Set_accessor_declarationContext):
pass
# Enter a parse tree produced by CSharpParser#accessor_modifier.
def enterAccessor_modifier(self, ctx: CSharpParser.Accessor_modifierContext):
pass
# Exit a parse tree produced by CSharpParser#accessor_modifier.
def exitAccessor_modifier(self, ctx: CSharpParser.Accessor_modifierContext):
pass
# Enter a parse tree produced by CSharpParser#accessor_body.
def enterAccessor_body(self, ctx: CSharpParser.Accessor_bodyContext):
pass
# Exit a parse tree produced by CSharpParser#accessor_body.
def exitAccessor_body(self, ctx: CSharpParser.Accessor_bodyContext):
pass
# Enter a parse tree produced by CSharpParser#event_accessor_declarations.
def enterEvent_accessor_declarations(self, ctx: CSharpParser.Event_accessor_declarationsContext):
pass
# Exit a parse tree produced by CSharpParser#event_accessor_declarations.
def exitEvent_accessor_declarations(self, ctx: CSharpParser.Event_accessor_declarationsContext):
pass
# Enter a parse tree produced by CSharpParser#add_accessor_declaration.
def enterAdd_accessor_declaration(self, ctx: CSharpParser.Add_accessor_declarationContext):
pass
# Exit a parse tree produced by CSharpParser#add_accessor_declaration.
def exitAdd_accessor_declaration(self, ctx: CSharpParser.Add_accessor_declarationContext):
pass
# Enter a parse tree produced by CSharpParser#remove_accessor_declaration.
def enterRemove_accessor_declaration(self, ctx: CSharpParser.Remove_accessor_declarationContext):
pass
# Exit a parse tree produced by CSharpParser#remove_accessor_declaration.
def exitRemove_accessor_declaration(self, ctx: CSharpParser.Remove_accessor_declarationContext):
pass
# Enter a parse tree produced by CSharpParser#overloadable_operator.
def enterOverloadable_operator(self, ctx: CSharpParser.Overloadable_operatorContext):
pass
# Exit a parse tree produced by CSharpParser#overloadable_operator.
def exitOverloadable_operator(self, ctx: CSharpParser.Overloadable_operatorContext):
pass
# Enter a parse tree produced by CSharpParser#conversion_operator_declarator.
def enterConversion_operator_declarator(self, ctx: CSharpParser.Conversion_operator_declaratorContext):
pass
# Exit a parse tree produced by CSharpParser#conversion_operator_declarator.
def exitConversion_operator_declarator(self, ctx: CSharpParser.Conversion_operator_declaratorContext):
pass
# Enter a parse tree produced by CSharpParser#constructor_initializer.
def enterConstructor_initializer(self, ctx: CSharpParser.Constructor_initializerContext):
pass
# Exit a parse tree produced by CSharpParser#constructor_initializer.
def exitConstructor_initializer(self, ctx: CSharpParser.Constructor_initializerContext):
pass
# Enter a parse tree produced by CSharpParser#body.
def enterBody(self, ctx: CSharpParser.BodyContext):
pass
# Exit a parse tree produced by CSharpParser#body.
def exitBody(self, ctx: CSharpParser.BodyContext):
pass
# Enter a parse tree produced by CSharpParser#struct_interfaces.
def enterStruct_interfaces(self, ctx: CSharpParser.Struct_interfacesContext):
pass
# Exit a parse tree produced by CSharpParser#struct_interfaces.
def exitStruct_interfaces(self, ctx: CSharpParser.Struct_interfacesContext):
pass
# Enter a parse tree produced by CSharpParser#struct_body.
def enterStruct_body(self, ctx: CSharpParser.Struct_bodyContext):
pass
# Exit a parse tree produced by CSharpParser#struct_body.
def exitStruct_body(self, ctx: CSharpParser.Struct_bodyContext):
pass
# Enter a parse tree produced by CSharpParser#struct_member_declaration.
def enterStruct_member_declaration(self, ctx: CSharpParser.Struct_member_declarationContext):
pass
# Exit a parse tree produced by CSharpParser#struct_member_declaration.
def exitStruct_member_declaration(self, ctx: CSharpParser.Struct_member_declarationContext):
pass
# Enter a parse tree produced by CSharpParser#array_type.
def enterArray_type(self, ctx: CSharpParser.Array_typeContext):
pass
# Exit a parse tree produced by CSharpParser#array_type.
def exitArray_type(self, ctx: CSharpParser.Array_typeContext):
pass
# Enter a parse tree produced by CSharpParser#rank_specifier.
def enterRank_specifier(self, ctx: CSharpParser.Rank_specifierContext):
pass
# Exit a parse tree produced by CSharpParser#rank_specifier.
def exitRank_specifier(self, ctx: CSharpParser.Rank_specifierContext):
pass
# Enter a parse tree produced by CSharpParser#array_initializer.
def enterArray_initializer(self, ctx: CSharpParser.Array_initializerContext):
pass
# Exit a parse tree produced by CSharpParser#array_initializer.
def exitArray_initializer(self, ctx: CSharpParser.Array_initializerContext):
pass
# Enter a parse tree produced by CSharpParser#variant_type_parameter_list.
def enterVariant_type_parameter_list(self, ctx: CSharpParser.Variant_type_parameter_listContext):
pass
# Exit a parse tree produced by CSharpParser#variant_type_parameter_list.
def exitVariant_type_parameter_list(self, ctx: CSharpParser.Variant_type_parameter_listContext):
pass
# Enter a parse tree produced by CSharpParser#variant_type_parameter.
def enterVariant_type_parameter(self, ctx: CSharpParser.Variant_type_parameterContext):
pass
# Exit a parse tree produced by CSharpParser#variant_type_parameter.
def exitVariant_type_parameter(self, ctx: CSharpParser.Variant_type_parameterContext):
pass
# Enter a parse tree produced by CSharpParser#variance_annotation.
def enterVariance_annotation(self, ctx: CSharpParser.Variance_annotationContext):
pass
# Exit a parse tree produced by CSharpParser#variance_annotation.
def exitVariance_annotation(self, ctx: CSharpParser.Variance_annotationContext):
pass
# Enter a parse tree produced by CSharpParser#interface_base.
def enterInterface_base(self, ctx: CSharpParser.Interface_baseContext):
pass
# Exit a parse tree produced by CSharpParser#interface_base.
def exitInterface_base(self, ctx: CSharpParser.Interface_baseContext):
pass
# Enter a parse tree produced by CSharpParser#interface_body.
def enterInterface_body(self, ctx: CSharpParser.Interface_bodyContext):
pass
# Exit a parse tree produced by CSharpParser#interface_body.
def exitInterface_body(self, ctx: CSharpParser.Interface_bodyContext):
pass
# Enter a parse tree produced by CSharpParser#interface_member_declaration.
def enterInterface_member_declaration(self, ctx: CSharpParser.Interface_member_declarationContext):
pass
# Exit a parse tree produced by CSharpParser#interface_member_declaration.
def exitInterface_member_declaration(self, ctx: CSharpParser.Interface_member_declarationContext):
pass
# Enter a parse tree produced by CSharpParser#interface_accessors.
def enterInterface_accessors(self, ctx: CSharpParser.Interface_accessorsContext):
pass
# Exit a parse tree produced by CSharpParser#interface_accessors.
def exitInterface_accessors(self, ctx: CSharpParser.Interface_accessorsContext):
pass
# Enter a parse tree produced by CSharpParser#enum_base.
def enterEnum_base(self, ctx: CSharpParser.Enum_baseContext):
pass
# Exit a parse tree produced by CSharpParser#enum_base.
def exitEnum_base(self, ctx: CSharpParser.Enum_baseContext):
pass
# Enter a parse tree produced by CSharpParser#enum_body.
def enterEnum_body(self, ctx: CSharpParser.Enum_bodyContext):
pass
# Exit a parse tree produced by CSharpParser#enum_body.
def exitEnum_body(self, ctx: CSharpParser.Enum_bodyContext):
pass
# Enter a parse tree produced by CSharpParser#enum_member_declaration.
def enterEnum_member_declaration(self, ctx: CSharpParser.Enum_member_declarationContext):
pass
# Exit a parse tree produced by CSharpParser#enum_member_declaration.
def exitEnum_member_declaration(self, ctx: CSharpParser.Enum_member_declarationContext):
pass
# Enter a parse tree produced by CSharpParser#global_attribute_section.
def enterGlobal_attribute_section(self, ctx: CSharpParser.Global_attribute_sectionContext):
pass
# Exit a parse tree produced by CSharpParser#global_attribute_section.
def exitGlobal_attribute_section(self, ctx: CSharpParser.Global_attribute_sectionContext):
pass
# Enter a parse tree produced by CSharpParser#global_attribute_target.
def enterGlobal_attribute_target(self, ctx: CSharpParser.Global_attribute_targetContext):
pass
# Exit a parse tree produced by CSharpParser#global_attribute_target.
def exitGlobal_attribute_target(self, ctx: CSharpParser.Global_attribute_targetContext):
pass
# Enter a parse tree produced by CSharpParser#attributes.
def enterAttributes(self, ctx: CSharpParser.AttributesContext):
pass
# Exit a parse tree produced by CSharpParser#attributes.
def exitAttributes(self, ctx: CSharpParser.AttributesContext):
pass
# Enter a parse tree produced by CSharpParser#attribute_section.
def enterAttribute_section(self, ctx: CSharpParser.Attribute_sectionContext):
pass
# Exit a parse tree produced by CSharpParser#attribute_section.
def exitAttribute_section(self, ctx: CSharpParser.Attribute_sectionContext):
pass
# Enter a parse tree produced by CSharpParser#attribute_target.
def enterAttribute_target(self, ctx: CSharpParser.Attribute_targetContext):
pass
# Exit a parse tree produced by CSharpParser#attribute_target.
def exitAttribute_target(self, ctx: CSharpParser.Attribute_targetContext):
pass
# Enter a parse tree produced by CSharpParser#attribute_list.
def enterAttribute_list(self, ctx: CSharpParser.Attribute_listContext):
pass
# Exit a parse tree produced by CSharpParser#attribute_list.
def exitAttribute_list(self, ctx: CSharpParser.Attribute_listContext):
pass
# Enter a parse tree produced by CSharpParser#attribute.
def enterAttribute(self, ctx: CSharpParser.AttributeContext):
pass
# Exit a parse tree produced by CSharpParser#attribute.
def exitAttribute(self, ctx: CSharpParser.AttributeContext):
pass
# Enter a parse tree produced by CSharpParser#attribute_argument.
def enterAttribute_argument(self, ctx: CSharpParser.Attribute_argumentContext):
pass
# Exit a parse tree produced by CSharpParser#attribute_argument.
def exitAttribute_argument(self, ctx: CSharpParser.Attribute_argumentContext):
pass
# Enter a parse tree produced by CSharpParser#pointer_type.
def enterPointer_type(self, ctx: CSharpParser.Pointer_typeContext):
pass
# Exit a parse tree produced by CSharpParser#pointer_type.
def exitPointer_type(self, ctx: CSharpParser.Pointer_typeContext):
pass
# Enter a parse tree produced by CSharpParser#fixed_pointer_declarators.
def enterFixed_pointer_declarators(self, ctx: CSharpParser.Fixed_pointer_declaratorsContext):
pass
# Exit a parse tree produced by CSharpParser#fixed_pointer_declarators.
def exitFixed_pointer_declarators(self, ctx: CSharpParser.Fixed_pointer_declaratorsContext):
pass
# Enter a parse tree produced by CSharpParser#fixed_pointer_declarator.
def enterFixed_pointer_declarator(self, ctx: CSharpParser.Fixed_pointer_declaratorContext):
pass
# Exit a parse tree produced by CSharpParser#fixed_pointer_declarator.
def exitFixed_pointer_declarator(self, ctx: CSharpParser.Fixed_pointer_declaratorContext):
pass
# Enter a parse tree produced by CSharpParser#fixed_pointer_initializer.
def enterFixed_pointer_initializer(self, ctx: CSharpParser.Fixed_pointer_initializerContext):
pass
# Exit a parse tree produced by CSharpParser#fixed_pointer_initializer.
def exitFixed_pointer_initializer(self, ctx: CSharpParser.Fixed_pointer_initializerContext):
pass
# Enter a parse tree produced by CSharpParser#fixed_size_buffer_declarator.
def enterFixed_size_buffer_declarator(self, ctx: CSharpParser.Fixed_size_buffer_declaratorContext):
pass
# Exit a parse tree produced by CSharpParser#fixed_size_buffer_declarator.
def exitFixed_size_buffer_declarator(self, ctx: CSharpParser.Fixed_size_buffer_declaratorContext):
pass
# Enter a parse tree produced by CSharpParser#local_variable_initializer_unsafe.
def enterLocal_variable_initializer_unsafe(self, ctx: CSharpParser.Local_variable_initializer_unsafeContext):
pass
# Exit a parse tree produced by CSharpParser#local_variable_initializer_unsafe.
def exitLocal_variable_initializer_unsafe(self, ctx: CSharpParser.Local_variable_initializer_unsafeContext):
pass
# Enter a parse tree produced by CSharpParser#right_arrow.
def enterRight_arrow(self, ctx: CSharpParser.Right_arrowContext):
pass
# Exit a parse tree produced by CSharpParser#right_arrow.
def exitRight_arrow(self, ctx: CSharpParser.Right_arrowContext):
pass
# Enter a parse tree produced by CSharpParser#right_shift.
def enterRight_shift(self, ctx: CSharpParser.Right_shiftContext):
pass
# Exit a parse tree produced by CSharpParser#right_shift.
def exitRight_shift(self, ctx: CSharpParser.Right_shiftContext):
pass
# Enter a parse tree produced by CSharpParser#right_shift_assignment.
def enterRight_shift_assignment(self, ctx: CSharpParser.Right_shift_assignmentContext):
pass
# Exit a parse tree produced by CSharpParser#right_shift_assignment.
def exitRight_shift_assignment(self, ctx: CSharpParser.Right_shift_assignmentContext):
pass
# Enter a parse tree produced by CSharpParser#literal.
def enterLiteral(self, ctx: CSharpParser.LiteralContext):
pass
# Exit a parse tree produced by CSharpParser#literal.
def exitLiteral(self, ctx: CSharpParser.LiteralContext):
pass
# Enter a parse tree produced by CSharpParser#boolean_literal.
def enterBoolean_literal(self, ctx: CSharpParser.Boolean_literalContext):
pass
# Exit a parse tree produced by CSharpParser#boolean_literal.
def exitBoolean_literal(self, ctx: CSharpParser.Boolean_literalContext):
pass
# Enter a parse tree produced by CSharpParser#string_literal.
def enterString_literal(self, ctx: CSharpParser.String_literalContext):
pass
# Exit a parse tree produced by CSharpParser#string_literal.
def exitString_literal(self, ctx: CSharpParser.String_literalContext):
pass
# Enter a parse tree produced by CSharpParser#interpolated_regular_string.
def enterInterpolated_regular_string(self, ctx: CSharpParser.Interpolated_regular_stringContext):
pass
# Exit a parse tree produced by CSharpParser#interpolated_regular_string.
def exitInterpolated_regular_string(self, ctx: CSharpParser.Interpolated_regular_stringContext):
pass
# Enter a parse tree produced by CSharpParser#interpolated_verbatium_string.
def enterInterpolated_verbatium_string(self, ctx: CSharpParser.Interpolated_verbatium_stringContext):
pass
# Exit a parse tree produced by CSharpParser#interpolated_verbatium_string.
def exitInterpolated_verbatium_string(self, ctx: CSharpParser.Interpolated_verbatium_stringContext):
pass
# Enter a parse tree produced by CSharpParser#interpolated_regular_string_part.
def enterInterpolated_regular_string_part(self, ctx: CSharpParser.Interpolated_regular_string_partContext):
pass
# Exit a parse tree produced by CSharpParser#interpolated_regular_string_part.
def exitInterpolated_regular_string_part(self, ctx: CSharpParser.Interpolated_regular_string_partContext):
pass
# Enter a parse tree produced by CSharpParser#interpolated_verbatium_string_part.
def enterInterpolated_verbatium_string_part(self, ctx: CSharpParser.Interpolated_verbatium_string_partContext):
pass
# Exit a parse tree produced by CSharpParser#interpolated_verbatium_string_part.
def exitInterpolated_verbatium_string_part(self, ctx: CSharpParser.Interpolated_verbatium_string_partContext):
pass
# Enter a parse tree produced by CSharpParser#interpolated_string_expression.
def enterInterpolated_string_expression(self, ctx: CSharpParser.Interpolated_string_expressionContext):
pass
# Exit a parse tree produced by CSharpParser#interpolated_string_expression.
def exitInterpolated_string_expression(self, ctx: CSharpParser.Interpolated_string_expressionContext):
pass
# Enter a parse tree produced by CSharpParser#keyword.
def enterKeyword(self, ctx: CSharpParser.KeywordContext):
pass
# Exit a parse tree produced by CSharpParser#keyword.
def exitKeyword(self, ctx: CSharpParser.KeywordContext):
pass
# Enter a parse tree produced by CSharpParser#class_definition.
def enterClass_definition(self, ctx: CSharpParser.Class_definitionContext):
pass
# Exit a parse tree produced by CSharpParser#class_definition.
def exitClass_definition(self, ctx: CSharpParser.Class_definitionContext):
pass
# Enter a parse tree produced by CSharpParser#struct_definition.
def enterStruct_definition(self, ctx: CSharpParser.Struct_definitionContext):
pass
# Exit a parse tree produced by CSharpParser#struct_definition.
def exitStruct_definition(self, ctx: CSharpParser.Struct_definitionContext):
pass
# Enter a parse tree produced by CSharpParser#interface_definition.
def enterInterface_definition(self, ctx: CSharpParser.Interface_definitionContext):
pass
# Exit a parse tree produced by CSharpParser#interface_definition.
def exitInterface_definition(self, ctx: CSharpParser.Interface_definitionContext):
pass
# Enter a parse tree produced by CSharpParser#enum_definition.
def enterEnum_definition(self, ctx: CSharpParser.Enum_definitionContext):
pass
# Exit a parse tree produced by CSharpParser#enum_definition.
def exitEnum_definition(self, ctx: CSharpParser.Enum_definitionContext):
pass
# Enter a parse tree produced by CSharpParser#delegate_definition.
def enterDelegate_definition(self, ctx: CSharpParser.Delegate_definitionContext):
pass
# Exit a parse tree produced by CSharpParser#delegate_definition.
def exitDelegate_definition(self, ctx: CSharpParser.Delegate_definitionContext):
pass
# Enter a parse tree produced by CSharpParser#event_declaration.
def enterEvent_declaration(self, ctx: CSharpParser.Event_declarationContext):
pass
# Exit a parse tree produced by CSharpParser#event_declaration.
def exitEvent_declaration(self, ctx: CSharpParser.Event_declarationContext):
pass
# Enter a parse tree produced by CSharpParser#field_declaration.
def enterField_declaration(self, ctx: CSharpParser.Field_declarationContext):
pass
# Exit a parse tree produced by CSharpParser#field_declaration.
def exitField_declaration(self, ctx: CSharpParser.Field_declarationContext):
pass
# Enter a parse tree produced by CSharpParser#property_declaration.
def enterProperty_declaration(self, ctx: CSharpParser.Property_declarationContext):
pass
# Exit a parse tree produced by CSharpParser#property_declaration.
def exitProperty_declaration(self, ctx: CSharpParser.Property_declarationContext):
pass
# Enter a parse tree produced by CSharpParser#constant_declaration.
def enterConstant_declaration(self, ctx: CSharpParser.Constant_declarationContext):
pass
# Exit a parse tree produced by CSharpParser#constant_declaration.
def exitConstant_declaration(self, ctx: CSharpParser.Constant_declarationContext):
pass
# Enter a parse tree produced by CSharpParser#indexer_declaration.
def enterIndexer_declaration(self, ctx: CSharpParser.Indexer_declarationContext):
pass
# Exit a parse tree produced by CSharpParser#indexer_declaration.
def exitIndexer_declaration(self, ctx: CSharpParser.Indexer_declarationContext):
pass
# Enter a parse tree produced by CSharpParser#destructor_definition.
def enterDestructor_definition(self, ctx: CSharpParser.Destructor_definitionContext):
pass
# Exit a parse tree produced by CSharpParser#destructor_definition.
def exitDestructor_definition(self, ctx: CSharpParser.Destructor_definitionContext):
pass
# Enter a parse tree produced by CSharpParser#constructor_declaration.
def enterConstructor_declaration(self, ctx: CSharpParser.Constructor_declarationContext):
pass
# Exit a parse tree produced by CSharpParser#constructor_declaration.
def exitConstructor_declaration(self, ctx: CSharpParser.Constructor_declarationContext):
pass
# Enter a parse tree produced by CSharpParser#method_declaration.
def enterMethod_declaration(self, ctx: CSharpParser.Method_declarationContext):
pass
# Exit a parse tree produced by CSharpParser#method_declaration.
def exitMethod_declaration(self, ctx: CSharpParser.Method_declarationContext):
pass
# Enter a parse tree produced by CSharpParser#method_member_name.
def enterMethod_member_name(self, ctx: CSharpParser.Method_member_nameContext):
pass
# Exit a parse tree produced by CSharpParser#method_member_name.
def exitMethod_member_name(self, ctx: CSharpParser.Method_member_nameContext):
pass
# Enter a parse tree produced by CSharpParser#operator_declaration.
def enterOperator_declaration(self, ctx: CSharpParser.Operator_declarationContext):
pass
# Exit a parse tree produced by CSharpParser#operator_declaration.
def exitOperator_declaration(self, ctx: CSharpParser.Operator_declarationContext):
pass
# Enter a parse tree produced by CSharpParser#arg_declaration.
def enterArg_declaration(self, ctx: CSharpParser.Arg_declarationContext):
pass
# Exit a parse tree produced by CSharpParser#arg_declaration.
def exitArg_declaration(self, ctx: CSharpParser.Arg_declarationContext):
pass
# Enter a parse tree produced by CSharpParser#method_invocation.
def enterMethod_invocation(self, ctx: CSharpParser.Method_invocationContext):
pass
# Exit a parse tree produced by CSharpParser#method_invocation.
def exitMethod_invocation(self, ctx: CSharpParser.Method_invocationContext):
pass
# Enter a parse tree produced by CSharpParser#object_creation_expression.
def enterObject_creation_expression(self, ctx: CSharpParser.Object_creation_expressionContext):
pass
# Exit a parse tree produced by CSharpParser#object_creation_expression.
def exitObject_creation_expression(self, ctx: CSharpParser.Object_creation_expressionContext):
pass
# Enter a parse tree produced by CSharpParser#documented_item.
def enterDocumented_item(self, ctx: CSharpParser.Documented_itemContext):
pass
# Exit a parse tree produced by CSharpParser#documented_item.
def exitDocumented_item(self, ctx: CSharpParser.Documented_itemContext):
pass
# Enter a parse tree produced by CSharpParser#identifier.
def enterIdentifier(self, ctx: CSharpParser.IdentifierContext):
pass
# Exit a parse tree produced by CSharpParser#identifier.
def exitIdentifier(self, ctx: CSharpParser.IdentifierContext):
pass
del CSharpParser
| 42.003603 | 131 | 0.768738 | 8,920 | 81,613 | 6.848318 | 0.072085 | 0.047441 | 0.079068 | 0.142322 | 0.892858 | 0.821075 | 0.821075 | 0.689345 | 0.59723 | 0.269534 | 0 | 0.00006 | 0.177913 | 81,613 | 1,942 | 132 | 42.025232 | 0.910423 | 0.373776 | 0 | 0.496395 | 1 | 0 | 0.00002 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.496395 | false | 0.496395 | 0.00309 | 0 | 0.500515 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 6 |
c1dc1801f8e667104127231816ffba59c670030f | 50 | py | Python | hs_core/tests/__init__.py | tommac7/hydroshare | 87c4543a55f98103d2614bf4c47f7904c3f9c029 | [
"BSD-3-Clause"
] | 178 | 2015-01-08T23:03:36.000Z | 2022-03-03T13:56:45.000Z | hs_core/tests/__init__.py | tommac7/hydroshare | 87c4543a55f98103d2614bf4c47f7904c3f9c029 | [
"BSD-3-Clause"
] | 4,125 | 2015-01-01T14:26:15.000Z | 2022-03-31T16:38:55.000Z | hs_core/tests/__init__.py | tommac7/hydroshare | 87c4543a55f98103d2614bf4c47f7904c3f9c029 | [
"BSD-3-Clause"
] | 53 | 2015-03-15T17:56:51.000Z | 2022-03-17T00:32:16.000Z | from .api.native import *
from .api.rest import *
| 16.666667 | 25 | 0.72 | 8 | 50 | 4.5 | 0.625 | 0.388889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.16 | 50 | 2 | 26 | 25 | 0.857143 | 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 |
de02c0e636b0ca273b2dda8605194a81ddf05c08 | 40 | py | Python | build/lib/ESINet/ann/__init__.py | The-Platypus/ESINet | b9b4e8ed8c6a0fa6d082e303014859a054233fd4 | [
"MIT"
] | null | null | null | build/lib/ESINet/ann/__init__.py | The-Platypus/ESINet | b9b4e8ed8c6a0fa6d082e303014859a054233fd4 | [
"MIT"
] | null | null | null | build/lib/ESINet/ann/__init__.py | The-Platypus/ESINet | b9b4e8ed8c6a0fa6d082e303014859a054233fd4 | [
"MIT"
] | null | null | null | from .ann import *
from .losses import * | 20 | 21 | 0.725 | 6 | 40 | 4.833333 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.175 | 40 | 2 | 21 | 20 | 0.878788 | 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 |
de140e5f99c03df15195c0f944af711d12e0df18 | 365 | py | Python | tests/plugins/task.py | jason-azze/dispatch | 56a9435d08b32429c6b44f83cb0f5aff5a8b6931 | [
"Apache-2.0"
] | 1 | 2020-07-21T20:07:27.000Z | 2020-07-21T20:07:27.000Z | tests/plugins/task.py | jason-azze/dispatch | 56a9435d08b32429c6b44f83cb0f5aff5a8b6931 | [
"Apache-2.0"
] | 2 | 2021-03-11T04:29:11.000Z | 2021-10-06T21:12:45.000Z | tests/plugins/task.py | jason-azze/dispatch | 56a9435d08b32429c6b44f83cb0f5aff5a8b6931 | [
"Apache-2.0"
] | null | null | null | from dispatch.plugins.bases import TaskPlugin
class TestTaskPlugin(TaskPlugin):
title = "Test Task"
slug = "test-task"
def get(self, **kwargs):
return
def create(self, **kwargs):
return
def delete(self, **kwargs):
return
def list(self, **kwargs):
return
def resolve(self, **kwargs):
return
| 16.590909 | 45 | 0.589041 | 40 | 365 | 5.375 | 0.525 | 0.232558 | 0.372093 | 0.353488 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.29589 | 365 | 21 | 46 | 17.380952 | 0.836576 | 0 | 0 | 0.357143 | 0 | 0 | 0.049315 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.357143 | false | 0 | 0.071429 | 0.357143 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 6 |
a9e631ea8844798036512a318c499b5372f6f8c8 | 260,830 | py | Python | instances/passenger_demand/pas-20210422-1717-int14000000000000001e/71.py | LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure | bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11 | [
"BSD-3-Clause"
] | null | null | null | instances/passenger_demand/pas-20210422-1717-int14000000000000001e/71.py | LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure | bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11 | [
"BSD-3-Clause"
] | null | null | null | instances/passenger_demand/pas-20210422-1717-int14000000000000001e/71.py | LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure | bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11 | [
"BSD-3-Clause"
] | null | null | null |
"""
PASSENGERS
"""
numPassengers = 26857
passenger_arriving = (
(11, 6, 8, 11, 5, 4, 6, 5, 2, 1, 1, 1, 0, 8, 2, 7, 3, 8, 6, 6, 2, 3, 2, 2, 2, 0), # 0
(5, 4, 4, 7, 2, 3, 5, 4, 1, 2, 1, 1, 0, 4, 4, 6, 3, 7, 4, 3, 1, 6, 3, 3, 0, 0), # 1
(9, 8, 6, 3, 5, 4, 2, 3, 3, 3, 0, 1, 0, 7, 9, 5, 5, 3, 3, 3, 1, 4, 4, 2, 0, 0), # 2
(14, 7, 9, 11, 7, 4, 5, 5, 3, 3, 2, 0, 0, 4, 6, 7, 5, 9, 10, 5, 2, 6, 1, 1, 0, 0), # 3
(9, 12, 6, 11, 4, 3, 5, 1, 3, 0, 0, 3, 0, 7, 4, 8, 9, 10, 4, 3, 6, 4, 2, 2, 0, 0), # 4
(11, 8, 8, 9, 6, 1, 5, 6, 4, 2, 1, 2, 0, 5, 10, 5, 8, 9, 1, 1, 1, 4, 4, 2, 0, 0), # 5
(11, 14, 8, 5, 13, 2, 3, 3, 5, 0, 1, 1, 0, 6, 7, 8, 6, 11, 7, 10, 1, 9, 4, 0, 1, 0), # 6
(7, 12, 5, 13, 5, 5, 1, 4, 5, 0, 2, 1, 0, 12, 5, 10, 5, 8, 6, 5, 2, 4, 1, 1, 0, 0), # 7
(14, 15, 6, 12, 7, 2, 3, 5, 7, 2, 1, 0, 0, 24, 6, 4, 6, 4, 3, 6, 2, 4, 1, 1, 1, 0), # 8
(17, 9, 5, 8, 5, 4, 5, 6, 9, 1, 2, 0, 0, 8, 10, 3, 8, 9, 5, 4, 5, 3, 3, 1, 2, 0), # 9
(12, 9, 7, 13, 6, 5, 5, 3, 5, 1, 0, 0, 0, 8, 15, 6, 4, 11, 6, 2, 6, 1, 4, 3, 2, 0), # 10
(17, 20, 11, 15, 5, 4, 7, 4, 2, 0, 0, 0, 0, 6, 7, 10, 13, 11, 1, 9, 4, 5, 2, 2, 0, 0), # 11
(8, 14, 9, 6, 9, 5, 5, 2, 2, 1, 2, 1, 0, 10, 4, 11, 8, 13, 9, 4, 2, 4, 3, 3, 0, 0), # 12
(7, 10, 12, 5, 10, 6, 2, 4, 9, 1, 1, 0, 0, 13, 12, 5, 11, 14, 8, 11, 4, 5, 2, 2, 1, 0), # 13
(9, 10, 9, 11, 5, 2, 4, 2, 3, 3, 3, 1, 0, 18, 7, 9, 6, 12, 2, 4, 2, 6, 3, 4, 1, 0), # 14
(11, 14, 10, 7, 14, 4, 4, 5, 6, 3, 0, 4, 0, 17, 11, 15, 6, 12, 10, 6, 9, 4, 6, 1, 1, 0), # 15
(14, 14, 4, 7, 10, 5, 6, 8, 3, 1, 1, 1, 0, 5, 15, 10, 7, 9, 11, 10, 3, 6, 2, 4, 0, 0), # 16
(10, 8, 12, 11, 3, 3, 6, 5, 9, 3, 2, 0, 0, 12, 11, 13, 11, 8, 5, 2, 1, 8, 4, 2, 1, 0), # 17
(10, 12, 13, 7, 8, 3, 8, 5, 13, 5, 5, 2, 0, 15, 11, 13, 7, 8, 11, 7, 2, 2, 1, 2, 1, 0), # 18
(10, 13, 19, 15, 1, 7, 6, 9, 6, 2, 2, 0, 0, 18, 6, 12, 9, 7, 13, 8, 2, 3, 6, 2, 2, 0), # 19
(13, 13, 10, 10, 13, 4, 4, 5, 8, 4, 3, 1, 0, 14, 8, 3, 7, 9, 10, 6, 2, 7, 7, 2, 1, 0), # 20
(12, 15, 14, 9, 9, 3, 9, 4, 6, 5, 1, 0, 0, 9, 18, 11, 9, 11, 10, 7, 1, 4, 5, 3, 2, 0), # 21
(17, 10, 9, 11, 3, 5, 11, 3, 8, 1, 4, 3, 0, 12, 10, 13, 6, 9, 11, 7, 6, 4, 7, 1, 2, 0), # 22
(11, 10, 7, 13, 5, 2, 2, 7, 7, 2, 5, 1, 0, 12, 15, 10, 9, 7, 5, 3, 5, 6, 5, 3, 0, 0), # 23
(12, 12, 15, 13, 5, 6, 5, 7, 5, 1, 3, 0, 0, 14, 13, 10, 7, 8, 5, 5, 2, 6, 3, 1, 1, 0), # 24
(19, 9, 7, 17, 8, 1, 9, 5, 6, 1, 2, 1, 0, 12, 12, 9, 10, 7, 13, 8, 2, 3, 2, 3, 0, 0), # 25
(19, 15, 6, 13, 5, 4, 2, 7, 5, 2, 2, 0, 0, 11, 16, 15, 6, 12, 8, 6, 4, 9, 6, 3, 0, 0), # 26
(18, 15, 15, 10, 13, 7, 1, 6, 4, 4, 2, 1, 0, 9, 17, 10, 7, 17, 9, 2, 4, 3, 2, 2, 1, 0), # 27
(19, 16, 12, 15, 7, 5, 12, 5, 9, 2, 1, 1, 0, 15, 7, 10, 8, 14, 7, 7, 3, 3, 6, 4, 3, 0), # 28
(18, 13, 12, 13, 11, 5, 9, 5, 3, 1, 2, 0, 0, 18, 14, 14, 7, 12, 11, 7, 3, 4, 3, 3, 0, 0), # 29
(14, 10, 12, 11, 8, 5, 3, 6, 7, 4, 3, 1, 0, 23, 9, 7, 11, 12, 13, 5, 2, 5, 3, 2, 1, 0), # 30
(11, 22, 17, 14, 8, 6, 3, 2, 5, 4, 3, 0, 0, 18, 13, 14, 7, 14, 4, 9, 3, 8, 2, 2, 1, 0), # 31
(9, 8, 9, 15, 8, 5, 8, 2, 4, 2, 1, 0, 0, 16, 11, 11, 11, 9, 7, 4, 4, 3, 3, 7, 1, 0), # 32
(11, 15, 7, 15, 10, 7, 6, 3, 6, 4, 2, 0, 0, 8, 13, 14, 4, 11, 11, 8, 0, 7, 7, 3, 2, 0), # 33
(16, 11, 12, 24, 13, 7, 3, 6, 4, 2, 5, 4, 0, 17, 12, 9, 11, 12, 4, 8, 5, 5, 8, 4, 2, 0), # 34
(12, 20, 10, 14, 13, 4, 5, 9, 4, 1, 1, 0, 0, 21, 14, 10, 8, 14, 8, 4, 4, 9, 2, 1, 1, 0), # 35
(16, 13, 12, 19, 9, 8, 14, 6, 3, 3, 6, 1, 0, 12, 12, 6, 10, 11, 3, 6, 7, 6, 5, 5, 1, 0), # 36
(15, 15, 11, 13, 16, 2, 7, 5, 4, 3, 1, 3, 0, 11, 18, 9, 11, 10, 11, 4, 2, 5, 3, 2, 1, 0), # 37
(12, 6, 15, 20, 10, 7, 5, 3, 6, 2, 2, 4, 0, 15, 10, 5, 8, 12, 4, 5, 4, 7, 8, 2, 1, 0), # 38
(18, 16, 23, 19, 11, 7, 12, 7, 7, 3, 1, 1, 0, 21, 15, 9, 7, 11, 6, 4, 2, 6, 4, 3, 3, 0), # 39
(14, 11, 10, 16, 16, 3, 7, 5, 4, 4, 2, 1, 0, 18, 7, 11, 10, 7, 6, 6, 1, 4, 8, 2, 4, 0), # 40
(13, 17, 13, 13, 6, 5, 8, 5, 4, 5, 2, 0, 0, 13, 12, 10, 8, 11, 5, 5, 2, 5, 5, 1, 2, 0), # 41
(24, 13, 5, 11, 11, 3, 6, 6, 4, 2, 4, 3, 0, 11, 20, 20, 4, 13, 8, 8, 5, 7, 1, 1, 0, 0), # 42
(11, 13, 8, 11, 11, 7, 6, 7, 5, 4, 2, 2, 0, 20, 7, 7, 7, 11, 6, 5, 1, 7, 6, 4, 0, 0), # 43
(13, 14, 11, 13, 9, 2, 5, 6, 4, 2, 1, 1, 0, 18, 10, 10, 7, 11, 5, 2, 3, 5, 1, 2, 1, 0), # 44
(11, 12, 10, 8, 12, 4, 7, 2, 8, 3, 3, 1, 0, 18, 13, 8, 6, 8, 11, 3, 1, 4, 3, 1, 1, 0), # 45
(15, 11, 11, 14, 8, 5, 1, 6, 4, 2, 2, 2, 0, 12, 15, 8, 12, 12, 10, 6, 5, 2, 4, 4, 2, 0), # 46
(12, 12, 11, 12, 13, 5, 5, 3, 8, 1, 1, 1, 0, 13, 20, 9, 3, 9, 8, 5, 5, 2, 5, 1, 1, 0), # 47
(14, 15, 15, 10, 13, 6, 6, 6, 3, 0, 2, 2, 0, 11, 10, 11, 11, 15, 8, 9, 3, 10, 5, 3, 1, 0), # 48
(17, 13, 13, 12, 10, 4, 2, 8, 6, 4, 0, 0, 0, 13, 9, 10, 3, 13, 8, 7, 1, 8, 3, 2, 1, 0), # 49
(15, 22, 18, 8, 4, 4, 2, 11, 5, 1, 6, 0, 0, 15, 14, 11, 10, 11, 7, 5, 13, 6, 5, 0, 1, 0), # 50
(8, 16, 8, 9, 12, 5, 3, 4, 8, 1, 0, 1, 0, 21, 9, 12, 7, 9, 3, 4, 5, 3, 2, 1, 0, 0), # 51
(14, 18, 12, 11, 12, 4, 8, 4, 4, 4, 2, 1, 0, 10, 13, 18, 11, 11, 8, 2, 5, 4, 5, 1, 4, 0), # 52
(9, 11, 14, 13, 7, 8, 7, 4, 6, 2, 3, 0, 0, 12, 14, 9, 6, 15, 8, 11, 6, 2, 3, 5, 0, 0), # 53
(15, 6, 12, 12, 8, 3, 4, 4, 8, 3, 2, 1, 0, 11, 15, 9, 7, 14, 8, 7, 1, 10, 5, 2, 1, 0), # 54
(18, 14, 11, 20, 17, 3, 5, 4, 4, 0, 3, 0, 0, 9, 14, 11, 4, 10, 8, 8, 2, 5, 1, 2, 1, 0), # 55
(16, 13, 13, 20, 13, 5, 9, 10, 5, 2, 3, 0, 0, 13, 12, 4, 7, 14, 6, 3, 2, 7, 2, 4, 1, 0), # 56
(13, 14, 13, 14, 13, 4, 6, 7, 7, 3, 2, 1, 0, 14, 24, 10, 4, 17, 5, 4, 5, 2, 9, 4, 1, 0), # 57
(15, 15, 8, 10, 12, 5, 3, 5, 8, 1, 3, 2, 0, 14, 16, 9, 7, 9, 5, 5, 5, 4, 4, 1, 1, 0), # 58
(16, 10, 20, 9, 13, 2, 2, 5, 3, 3, 4, 2, 0, 10, 11, 5, 3, 11, 2, 5, 4, 7, 3, 1, 1, 0), # 59
(15, 14, 13, 11, 9, 6, 7, 3, 4, 4, 1, 1, 0, 16, 11, 14, 4, 14, 3, 8, 4, 6, 1, 3, 1, 0), # 60
(18, 11, 17, 11, 5, 5, 5, 3, 5, 0, 2, 2, 0, 15, 5, 12, 10, 7, 10, 10, 5, 4, 8, 2, 0, 0), # 61
(16, 19, 12, 13, 14, 1, 6, 5, 6, 1, 1, 1, 0, 18, 6, 8, 11, 3, 6, 5, 3, 7, 5, 1, 0, 0), # 62
(10, 13, 23, 14, 8, 4, 8, 2, 5, 5, 2, 0, 0, 16, 12, 7, 9, 11, 6, 8, 6, 6, 6, 2, 0, 0), # 63
(15, 15, 14, 16, 9, 6, 3, 2, 4, 4, 0, 0, 0, 17, 10, 11, 11, 10, 5, 3, 2, 7, 4, 0, 1, 0), # 64
(22, 10, 15, 9, 11, 4, 4, 6, 7, 2, 0, 0, 0, 15, 11, 5, 11, 8, 9, 3, 9, 8, 2, 1, 1, 0), # 65
(11, 24, 11, 15, 8, 3, 8, 2, 3, 4, 2, 4, 0, 16, 11, 8, 9, 12, 3, 5, 6, 7, 4, 0, 1, 0), # 66
(11, 11, 10, 9, 9, 3, 4, 2, 4, 2, 4, 4, 0, 14, 8, 9, 7, 14, 3, 4, 3, 6, 5, 8, 1, 0), # 67
(18, 15, 8, 9, 6, 7, 9, 2, 2, 1, 4, 1, 0, 10, 12, 9, 11, 14, 2, 6, 2, 6, 4, 2, 1, 0), # 68
(18, 10, 13, 4, 5, 8, 4, 7, 0, 0, 0, 1, 0, 10, 9, 9, 5, 8, 6, 3, 5, 9, 6, 3, 1, 0), # 69
(19, 16, 14, 10, 5, 7, 5, 4, 8, 4, 1, 1, 0, 15, 11, 6, 5, 10, 7, 3, 2, 8, 4, 0, 1, 0), # 70
(12, 16, 17, 15, 11, 2, 10, 3, 2, 1, 1, 0, 0, 8, 15, 11, 9, 7, 5, 4, 1, 6, 2, 2, 2, 0), # 71
(21, 14, 14, 10, 8, 4, 6, 5, 6, 1, 1, 1, 0, 12, 11, 16, 9, 8, 7, 3, 2, 5, 3, 1, 0, 0), # 72
(14, 5, 15, 9, 9, 4, 5, 4, 5, 1, 1, 1, 0, 18, 13, 7, 10, 15, 7, 4, 4, 4, 3, 4, 1, 0), # 73
(10, 12, 15, 6, 7, 10, 6, 5, 6, 2, 2, 4, 0, 21, 12, 8, 10, 8, 5, 5, 4, 6, 4, 3, 2, 0), # 74
(19, 14, 8, 12, 13, 4, 5, 4, 5, 3, 1, 2, 0, 11, 17, 13, 10, 12, 3, 8, 3, 7, 6, 2, 0, 0), # 75
(11, 15, 11, 6, 17, 3, 6, 6, 6, 3, 2, 0, 0, 14, 12, 7, 3, 8, 5, 2, 4, 2, 5, 2, 0, 0), # 76
(14, 6, 13, 19, 15, 8, 3, 3, 2, 2, 0, 0, 0, 16, 11, 6, 11, 10, 3, 2, 3, 4, 6, 4, 0, 0), # 77
(13, 10, 12, 16, 8, 4, 4, 4, 7, 0, 2, 0, 0, 13, 9, 12, 8, 13, 5, 4, 3, 11, 5, 1, 2, 0), # 78
(9, 12, 19, 12, 9, 3, 7, 6, 8, 2, 5, 0, 0, 14, 11, 6, 4, 8, 6, 7, 5, 5, 7, 2, 1, 0), # 79
(9, 10, 11, 13, 8, 4, 3, 4, 10, 4, 1, 1, 0, 12, 12, 7, 7, 11, 5, 4, 0, 9, 2, 1, 4, 0), # 80
(12, 11, 12, 10, 6, 4, 7, 2, 9, 2, 1, 0, 0, 13, 10, 16, 3, 9, 7, 11, 3, 4, 5, 2, 3, 0), # 81
(14, 9, 12, 11, 9, 3, 6, 3, 4, 3, 0, 0, 0, 19, 12, 10, 4, 9, 6, 3, 2, 9, 2, 3, 1, 0), # 82
(20, 8, 11, 9, 6, 8, 2, 7, 7, 1, 3, 2, 0, 13, 14, 9, 8, 18, 7, 7, 3, 4, 4, 5, 0, 0), # 83
(13, 12, 13, 12, 12, 1, 6, 4, 4, 2, 0, 0, 0, 12, 13, 6, 10, 9, 10, 7, 2, 4, 6, 2, 0, 0), # 84
(11, 16, 14, 3, 6, 1, 5, 3, 4, 3, 0, 0, 0, 16, 13, 12, 7, 9, 5, 6, 4, 6, 2, 3, 1, 0), # 85
(15, 13, 12, 6, 8, 8, 8, 2, 5, 1, 3, 2, 0, 13, 17, 9, 8, 15, 1, 3, 6, 7, 3, 4, 3, 0), # 86
(16, 13, 18, 13, 10, 7, 4, 3, 4, 3, 1, 1, 0, 12, 10, 11, 9, 6, 4, 4, 6, 4, 1, 2, 1, 0), # 87
(11, 6, 9, 17, 7, 5, 3, 4, 4, 2, 1, 2, 0, 16, 12, 3, 6, 16, 3, 7, 6, 4, 5, 3, 0, 0), # 88
(21, 15, 6, 14, 8, 2, 8, 1, 3, 3, 3, 0, 0, 16, 11, 10, 5, 4, 5, 7, 4, 4, 7, 4, 0, 0), # 89
(19, 14, 11, 18, 10, 5, 5, 5, 2, 3, 2, 1, 0, 13, 10, 12, 3, 11, 6, 8, 2, 5, 5, 4, 3, 0), # 90
(11, 14, 17, 12, 6, 7, 4, 5, 6, 1, 1, 0, 0, 10, 11, 9, 3, 12, 4, 7, 0, 3, 5, 2, 2, 0), # 91
(16, 14, 3, 16, 16, 4, 1, 1, 3, 2, 4, 0, 0, 20, 10, 5, 3, 19, 8, 7, 5, 7, 3, 2, 4, 0), # 92
(12, 12, 15, 10, 14, 5, 6, 4, 3, 1, 3, 2, 0, 10, 8, 8, 4, 19, 9, 5, 0, 7, 3, 4, 0, 0), # 93
(14, 14, 14, 15, 10, 6, 6, 3, 10, 7, 2, 1, 0, 7, 13, 7, 5, 5, 3, 5, 4, 9, 3, 1, 1, 0), # 94
(22, 12, 9, 12, 11, 3, 1, 3, 4, 1, 0, 2, 0, 18, 9, 5, 4, 9, 4, 7, 2, 11, 8, 0, 0, 0), # 95
(15, 12, 9, 16, 8, 6, 2, 3, 7, 0, 1, 0, 0, 21, 9, 8, 6, 13, 5, 6, 6, 2, 2, 1, 0, 0), # 96
(10, 7, 16, 13, 12, 3, 7, 3, 5, 1, 0, 1, 0, 20, 11, 12, 7, 11, 7, 7, 8, 12, 5, 2, 2, 0), # 97
(10, 12, 8, 11, 13, 6, 4, 3, 5, 2, 2, 1, 0, 12, 16, 15, 8, 12, 8, 3, 3, 3, 5, 2, 1, 0), # 98
(15, 13, 13, 14, 8, 6, 2, 5, 9, 2, 2, 1, 0, 15, 9, 13, 4, 7, 7, 10, 1, 4, 3, 3, 1, 0), # 99
(13, 9, 12, 11, 7, 8, 5, 2, 9, 1, 2, 0, 0, 15, 10, 5, 4, 16, 5, 4, 4, 5, 2, 3, 1, 0), # 100
(13, 10, 8, 10, 7, 3, 6, 7, 4, 3, 3, 0, 0, 14, 12, 4, 9, 13, 2, 8, 4, 8, 7, 4, 2, 0), # 101
(16, 14, 11, 7, 4, 7, 4, 1, 4, 0, 5, 0, 0, 8, 10, 10, 4, 10, 5, 5, 4, 9, 6, 2, 2, 0), # 102
(17, 19, 16, 17, 8, 8, 7, 4, 4, 3, 0, 0, 0, 11, 12, 13, 6, 6, 6, 2, 3, 7, 3, 1, 0, 0), # 103
(13, 5, 12, 18, 9, 8, 3, 6, 5, 1, 2, 0, 0, 11, 11, 10, 2, 9, 6, 3, 5, 4, 4, 3, 2, 0), # 104
(15, 11, 10, 9, 13, 6, 3, 5, 8, 1, 4, 1, 0, 13, 10, 9, 8, 8, 6, 5, 3, 7, 7, 0, 0, 0), # 105
(13, 9, 10, 7, 4, 2, 4, 8, 5, 3, 0, 2, 0, 11, 5, 7, 7, 16, 3, 4, 4, 3, 5, 4, 0, 0), # 106
(10, 11, 5, 13, 14, 4, 6, 3, 7, 1, 1, 0, 0, 9, 9, 13, 2, 8, 5, 5, 3, 4, 6, 1, 0, 0), # 107
(14, 16, 11, 11, 12, 3, 2, 4, 5, 4, 2, 0, 0, 15, 7, 8, 3, 11, 1, 2, 6, 6, 4, 3, 0, 0), # 108
(16, 18, 3, 10, 12, 6, 4, 6, 7, 1, 3, 2, 0, 16, 11, 13, 3, 10, 8, 5, 5, 6, 8, 1, 3, 0), # 109
(19, 12, 7, 10, 7, 2, 9, 3, 4, 2, 1, 0, 0, 17, 12, 3, 4, 12, 5, 4, 5, 3, 3, 2, 0, 0), # 110
(18, 12, 14, 8, 10, 5, 4, 4, 5, 3, 3, 0, 0, 13, 11, 6, 3, 7, 8, 2, 3, 8, 7, 1, 0, 0), # 111
(17, 9, 12, 18, 9, 5, 5, 4, 0, 3, 1, 1, 0, 9, 12, 12, 9, 12, 5, 3, 5, 4, 7, 2, 0, 0), # 112
(20, 7, 14, 17, 13, 4, 5, 2, 2, 4, 4, 2, 0, 16, 12, 7, 8, 13, 4, 7, 3, 8, 8, 1, 2, 0), # 113
(12, 6, 10, 14, 11, 3, 4, 6, 3, 3, 2, 1, 0, 9, 6, 12, 5, 7, 5, 3, 3, 4, 5, 2, 4, 0), # 114
(14, 12, 11, 8, 11, 4, 2, 3, 5, 2, 1, 1, 0, 13, 10, 10, 8, 15, 7, 8, 5, 6, 3, 0, 0, 0), # 115
(14, 8, 6, 13, 14, 6, 4, 3, 2, 2, 0, 0, 0, 11, 11, 6, 6, 14, 1, 4, 6, 10, 0, 0, 2, 0), # 116
(19, 7, 8, 11, 10, 4, 7, 2, 7, 3, 2, 2, 0, 25, 13, 6, 3, 14, 3, 4, 3, 6, 2, 0, 1, 0), # 117
(15, 10, 15, 15, 10, 1, 4, 1, 3, 2, 0, 1, 0, 15, 13, 11, 6, 7, 4, 2, 6, 7, 9, 1, 0, 0), # 118
(11, 10, 7, 9, 13, 5, 2, 3, 2, 7, 1, 0, 0, 13, 10, 7, 7, 8, 3, 1, 3, 9, 3, 0, 0, 0), # 119
(9, 13, 16, 12, 11, 5, 4, 2, 6, 1, 1, 0, 0, 10, 11, 6, 3, 7, 3, 10, 6, 5, 3, 0, 1, 0), # 120
(10, 11, 13, 12, 12, 5, 5, 6, 6, 2, 2, 2, 0, 13, 11, 5, 6, 13, 7, 8, 5, 3, 1, 3, 0, 0), # 121
(13, 10, 7, 12, 10, 3, 3, 6, 4, 5, 3, 1, 0, 9, 14, 8, 6, 9, 3, 6, 2, 7, 9, 2, 0, 0), # 122
(12, 9, 7, 16, 3, 3, 1, 3, 5, 0, 3, 1, 0, 16, 11, 5, 5, 10, 6, 6, 1, 3, 3, 1, 2, 0), # 123
(12, 10, 20, 10, 10, 8, 2, 7, 1, 2, 3, 1, 0, 11, 14, 6, 3, 12, 1, 5, 5, 8, 4, 0, 1, 0), # 124
(13, 10, 5, 3, 11, 0, 4, 2, 3, 3, 1, 1, 0, 17, 12, 10, 8, 5, 3, 3, 4, 7, 5, 0, 2, 0), # 125
(10, 9, 10, 10, 6, 4, 3, 3, 5, 1, 0, 1, 0, 15, 10, 9, 6, 15, 8, 4, 4, 1, 4, 3, 1, 0), # 126
(8, 9, 5, 9, 7, 4, 2, 5, 4, 2, 0, 2, 0, 14, 4, 5, 8, 11, 4, 9, 9, 6, 5, 3, 3, 0), # 127
(10, 12, 5, 11, 14, 6, 3, 3, 7, 4, 1, 1, 0, 11, 17, 9, 13, 5, 1, 2, 4, 5, 2, 0, 0, 0), # 128
(19, 6, 11, 7, 17, 2, 8, 7, 7, 5, 0, 1, 0, 16, 11, 9, 6, 12, 6, 1, 1, 6, 2, 2, 0, 0), # 129
(10, 9, 9, 17, 8, 2, 3, 0, 3, 2, 0, 1, 0, 11, 12, 4, 8, 13, 4, 3, 6, 0, 6, 4, 0, 0), # 130
(12, 7, 12, 9, 7, 2, 7, 4, 8, 3, 3, 1, 0, 10, 7, 9, 9, 13, 3, 3, 4, 4, 4, 4, 1, 0), # 131
(14, 9, 9, 13, 9, 5, 2, 1, 4, 0, 4, 2, 0, 7, 13, 10, 5, 9, 3, 1, 5, 5, 3, 2, 2, 0), # 132
(18, 9, 10, 15, 7, 5, 1, 7, 7, 4, 3, 1, 0, 9, 6, 7, 4, 12, 3, 8, 3, 3, 6, 1, 0, 0), # 133
(11, 10, 13, 13, 6, 5, 4, 5, 6, 1, 0, 1, 0, 13, 15, 1, 9, 14, 5, 4, 2, 4, 3, 1, 1, 0), # 134
(10, 12, 5, 11, 10, 4, 8, 4, 2, 2, 2, 0, 0, 12, 12, 12, 4, 11, 3, 1, 3, 6, 3, 4, 0, 0), # 135
(12, 7, 10, 13, 9, 3, 3, 6, 3, 1, 1, 1, 0, 15, 12, 3, 9, 16, 4, 5, 1, 4, 1, 0, 0, 0), # 136
(12, 3, 12, 7, 9, 6, 2, 3, 8, 0, 4, 0, 0, 11, 9, 12, 6, 9, 3, 4, 6, 3, 2, 4, 1, 0), # 137
(11, 9, 8, 10, 15, 6, 0, 0, 5, 3, 1, 0, 0, 14, 9, 8, 3, 7, 5, 5, 1, 3, 2, 2, 1, 0), # 138
(12, 13, 14, 8, 12, 1, 6, 4, 9, 3, 1, 0, 0, 15, 10, 8, 4, 16, 7, 6, 0, 1, 2, 3, 0, 0), # 139
(15, 13, 12, 13, 18, 1, 5, 1, 6, 2, 1, 0, 0, 7, 9, 4, 9, 6, 9, 7, 3, 3, 7, 1, 2, 0), # 140
(5, 8, 12, 9, 16, 5, 5, 4, 4, 3, 1, 0, 0, 12, 5, 10, 2, 4, 4, 5, 6, 1, 2, 2, 0, 0), # 141
(13, 11, 11, 10, 16, 3, 3, 1, 6, 2, 2, 0, 0, 10, 10, 4, 3, 7, 2, 3, 4, 5, 7, 2, 0, 0), # 142
(7, 8, 5, 18, 8, 7, 4, 3, 1, 3, 4, 2, 0, 21, 12, 6, 5, 10, 3, 5, 2, 6, 4, 2, 3, 0), # 143
(9, 7, 9, 10, 8, 7, 2, 4, 3, 2, 1, 0, 0, 10, 11, 4, 4, 11, 2, 2, 1, 9, 4, 5, 2, 0), # 144
(9, 4, 6, 8, 13, 3, 3, 1, 9, 2, 5, 0, 0, 12, 10, 7, 7, 13, 11, 3, 2, 7, 3, 1, 1, 0), # 145
(11, 12, 16, 9, 10, 2, 4, 5, 5, 4, 3, 3, 0, 9, 9, 7, 5, 12, 2, 1, 4, 2, 2, 0, 0, 0), # 146
(9, 10, 7, 11, 9, 6, 7, 4, 4, 4, 5, 3, 0, 18, 6, 6, 4, 9, 4, 2, 2, 6, 4, 2, 1, 0), # 147
(16, 6, 15, 11, 11, 3, 3, 4, 6, 3, 2, 1, 0, 12, 9, 7, 6, 15, 6, 4, 3, 5, 2, 2, 1, 0), # 148
(9, 5, 13, 9, 6, 4, 1, 3, 5, 3, 3, 1, 0, 10, 8, 14, 4, 7, 6, 2, 5, 5, 4, 1, 1, 0), # 149
(14, 9, 13, 13, 8, 4, 7, 5, 3, 3, 0, 1, 0, 6, 10, 3, 5, 10, 5, 2, 1, 3, 4, 2, 1, 0), # 150
(11, 10, 15, 9, 7, 6, 5, 3, 7, 1, 3, 2, 0, 7, 8, 9, 2, 7, 5, 3, 3, 1, 3, 3, 1, 0), # 151
(8, 16, 7, 12, 10, 4, 4, 5, 2, 2, 0, 0, 0, 13, 6, 12, 2, 11, 3, 5, 3, 3, 2, 1, 1, 0), # 152
(15, 7, 11, 8, 10, 2, 1, 0, 4, 2, 1, 1, 0, 14, 7, 12, 7, 9, 3, 4, 2, 4, 2, 0, 1, 0), # 153
(18, 9, 15, 13, 7, 5, 4, 4, 3, 3, 1, 0, 0, 12, 11, 8, 9, 13, 8, 6, 1, 3, 0, 5, 2, 0), # 154
(10, 2, 12, 11, 11, 5, 4, 2, 5, 1, 0, 0, 0, 9, 5, 13, 3, 5, 3, 4, 1, 9, 3, 2, 0, 0), # 155
(16, 7, 9, 9, 7, 6, 5, 2, 5, 1, 2, 0, 0, 18, 12, 3, 2, 9, 3, 3, 4, 6, 2, 3, 1, 0), # 156
(7, 5, 8, 9, 8, 7, 5, 4, 7, 2, 0, 0, 0, 15, 11, 4, 2, 12, 4, 3, 4, 5, 3, 3, 1, 0), # 157
(15, 6, 9, 13, 9, 8, 0, 2, 3, 4, 0, 2, 0, 15, 8, 5, 9, 10, 6, 5, 3, 2, 2, 1, 1, 0), # 158
(12, 5, 10, 10, 11, 5, 2, 5, 3, 2, 0, 2, 0, 10, 5, 4, 3, 10, 4, 1, 2, 4, 2, 3, 1, 0), # 159
(6, 12, 10, 2, 6, 4, 0, 4, 5, 0, 0, 2, 0, 13, 5, 10, 6, 7, 7, 3, 1, 7, 1, 2, 1, 0), # 160
(10, 6, 9, 14, 8, 0, 5, 1, 2, 1, 3, 2, 0, 14, 10, 5, 9, 7, 3, 2, 2, 4, 1, 0, 0, 0), # 161
(9, 11, 12, 2, 8, 1, 2, 5, 2, 3, 3, 0, 0, 12, 7, 7, 2, 12, 3, 5, 5, 6, 6, 1, 2, 0), # 162
(9, 6, 12, 12, 8, 2, 5, 2, 5, 3, 0, 2, 0, 8, 6, 1, 2, 8, 5, 6, 0, 4, 3, 0, 0, 0), # 163
(8, 8, 9, 9, 10, 5, 4, 3, 6, 2, 0, 0, 0, 9, 9, 7, 5, 7, 2, 3, 2, 4, 1, 1, 1, 0), # 164
(5, 7, 10, 5, 7, 6, 3, 2, 2, 0, 3, 2, 0, 15, 8, 4, 6, 7, 4, 4, 4, 1, 3, 0, 0, 0), # 165
(3, 7, 5, 9, 7, 3, 4, 4, 4, 2, 3, 1, 0, 6, 9, 6, 3, 6, 4, 3, 4, 2, 2, 2, 0, 0), # 166
(9, 5, 9, 8, 11, 3, 2, 1, 3, 1, 1, 2, 0, 10, 9, 4, 6, 9, 6, 0, 2, 3, 2, 1, 1, 0), # 167
(4, 3, 11, 10, 8, 6, 3, 2, 3, 3, 0, 1, 0, 6, 8, 4, 2, 11, 2, 3, 2, 4, 3, 2, 1, 0), # 168
(9, 1, 5, 4, 7, 4, 3, 1, 3, 1, 1, 1, 0, 10, 5, 3, 2, 11, 3, 3, 2, 3, 3, 0, 1, 0), # 169
(7, 5, 5, 5, 5, 4, 0, 4, 0, 0, 2, 4, 0, 9, 9, 5, 3, 8, 1, 0, 4, 1, 2, 1, 0, 0), # 170
(8, 4, 11, 6, 5, 3, 2, 2, 4, 3, 2, 0, 0, 8, 10, 5, 2, 8, 3, 2, 1, 3, 2, 1, 0, 0), # 171
(7, 3, 11, 4, 7, 1, 1, 5, 5, 1, 1, 0, 0, 10, 9, 7, 2, 12, 1, 1, 2, 3, 2, 0, 0, 0), # 172
(8, 2, 12, 10, 4, 2, 4, 5, 3, 0, 2, 0, 0, 8, 4, 6, 1, 11, 2, 3, 1, 1, 3, 2, 3, 0), # 173
(4, 4, 6, 4, 4, 0, 2, 4, 1, 1, 0, 1, 0, 3, 7, 5, 2, 9, 6, 1, 0, 0, 1, 1, 1, 0), # 174
(7, 3, 1, 6, 6, 1, 1, 4, 4, 2, 2, 0, 0, 6, 10, 4, 6, 6, 2, 1, 1, 1, 4, 1, 1, 0), # 175
(4, 8, 4, 7, 4, 3, 1, 4, 9, 2, 1, 0, 0, 6, 1, 4, 3, 6, 2, 1, 0, 1, 3, 0, 0, 0), # 176
(6, 5, 4, 8, 5, 5, 2, 2, 4, 0, 1, 0, 0, 4, 7, 1, 3, 3, 2, 3, 1, 1, 2, 2, 1, 0), # 177
(7, 5, 6, 5, 5, 2, 1, 1, 3, 0, 0, 0, 0, 7, 5, 3, 1, 3, 2, 1, 2, 5, 1, 2, 0, 0), # 178
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # 179
)
station_arriving_intensity = (
(7.029211809720476, 7.735403983570434, 7.29579652145751, 8.700534883408807, 7.776559850653457, 4.394116904852274, 5.804449861523481, 6.514446642171193, 8.52613868703521, 5.541221021731318, 5.887371229439844, 6.857081109628643, 7.117432297609708), # 0
(7.496058012827964, 8.246084971802663, 7.777485227862214, 9.275201954587263, 8.291486472463932, 4.684377017659578, 6.187256517769172, 6.943319212067992, 9.089143456866074, 5.90657296918801, 6.2763345903385845, 7.309703325140097, 7.587708306415797), # 1
(7.9614122125716245, 8.754739239247371, 8.257259199766379, 9.847582786530712, 8.804548163249642, 4.9734791603174235, 6.568545911144986, 7.370475347066188, 9.64990152962857, 6.270479285028765, 6.663752408286839, 7.760525712874277, 8.056110759493567), # 2
(8.423460910405188, 9.259348702711026, 8.733215217047796, 10.415406970544904, 9.313726346402664, 5.260276871619158, 6.946805098307138, 7.79422162049231, 10.206189225289531, 6.631495777796654, 7.0480877765583365, 8.207759958902646, 8.520781928755916), # 3
(8.880390607782374, 9.757895279000085, 9.203450059584252, 10.976404097935598, 9.81700244531509, 5.543623690358135, 7.320521135911843, 8.212864605672882, 10.75578286381579, 6.988178256034751, 7.4278037884268056, 8.64961774929667, 8.979864086115745), # 4
(9.330387806156915, 10.248360884921025, 9.666060507253526, 11.528303760008551, 10.312357883378994, 5.822373155327701, 7.688181080615314, 8.62471087593443, 11.296458765174183, 7.339082528286129, 7.801363537165986, 9.084310770127807, 9.43149950348596), # 5
(9.771639006982534, 10.728727437280302, 10.119143339933412, 12.068835548069513, 10.79777408398646, 6.09537880532121, 8.048271989073768, 9.028067004603484, 11.825993249331543, 7.682764403093862, 8.167230116049597, 9.510050707467531, 9.87383045277945), # 6
(10.202330711712957, 11.196976852884385, 10.56079533750169, 12.595729053424249, 11.271232470529577, 6.36149417913201, 8.39928091794342, 9.421239565006573, 12.342162636254702, 8.017779689001022, 8.523866618351377, 9.925049247387301, 10.304999205909127), # 7
(10.62064942180191, 11.651091048539739, 10.989113279836156, 13.1067138673785, 11.730714466400421, 6.619572815553446, 8.739694923880478, 9.802535130470215, 12.842743245910489, 8.342684194550685, 8.86973613734505, 10.327518075958585, 10.723148034787885), # 8
(11.02478163870312, 12.089051941052832, 11.402193946814586, 13.599519581238038, 12.174201494991074, 6.868468253378878, 9.068001063541168, 10.170260274320949, 13.325511398265744, 8.65603372828592, 9.20330176630435, 10.71566887925284, 11.126419211328628), # 9
(11.412913863870306, 12.508841447230123, 11.798134118314776, 14.071875786308604, 12.599674979693622, 7.107034031401651, 9.382686393581697, 10.522721569885295, 13.7882434132873, 8.956384098749801, 9.523026598503003, 11.087713343341534, 11.512955007444255), # 10
(11.783232598757209, 12.90844148387809, 12.175030574214501, 14.521512073895957, 13.005116343900148, 7.334123688415116, 9.682237970658283, 10.85822559048978, 14.228715610941991, 9.242291114485408, 9.82737372721475, 11.441863154296136, 11.880897695047656), # 11
(12.133924344817538, 13.285833967803178, 12.530980094391557, 14.946158035305858, 13.38850701100273, 7.5485907632126175, 9.965142851427137, 11.17507890946093, 14.644704311196652, 9.512310584035802, 10.114806245713309, 11.776329998188096, 12.22838954605175), # 12
(12.463175603505027, 13.639000815811869, 12.864079458723728, 15.343543261844063, 13.747828404393443, 7.749288794587514, 10.22988809254448, 11.471588100125276, 15.033985834018106, 9.764998315944066, 10.383787247272418, 12.08932556108889, 12.55357283236943), # 13
(12.769172876273403, 13.965923944710624, 13.172425447088806, 15.71139734481631, 14.081061947464386, 7.935071321333148, 10.474960750666526, 11.746059735809345, 15.39433649937319, 9.998910118753269, 10.6327798251658, 12.379061529069986, 12.85458982591359), # 14
(13.050102664576398, 14.264585271305906, 13.45411483936456, 16.047449875528383, 14.386189063607633, 8.104791882242878, 10.698847882449478, 11.99680038983966, 15.723532627228748, 10.212601801006487, 10.860247072667189, 12.64374958820284, 13.129582798597134), # 15
(13.30415146986772, 14.532966712404187, 13.707244415428796, 16.349430445286004, 14.661191176215267, 8.257304016110044, 10.900036544549568, 12.222116635542745, 16.019350537551603, 10.404629171246796, 11.06465208305032, 12.881601424558916, 13.376694022332964), # 16
(13.529505793601107, 14.769050184811926, 13.929910955159293, 16.61506864539496, 14.904049708679375, 8.391461261728, 11.077013793622996, 12.420315046245145, 16.27956655030858, 10.573548038017254, 11.24445794958892, 13.090828724209679, 13.594065769033982), # 17
(13.724352137230287, 14.970817605335585, 14.120211238433834, 16.842094067160993, 15.112746084392025, 8.506117157890104, 11.228266686325993, 12.589702195273366, 16.501956985466535, 10.717914209860952, 11.398127765556712, 13.269643173226603, 13.779840310613086), # 18
(13.88687700220898, 15.136250890781643, 14.27624204513021, 17.02823630188984, 15.285261726745313, 8.600125243389693, 11.352282279314753, 12.728584655953943, 16.68429816299229, 10.83628349532096, 11.52412462422743, 13.416256457681136, 13.932159918983176), # 19
(14.015266889990915, 15.263331957956549, 14.396100155126206, 17.171224940887296, 15.419578059131322, 8.672339057020126, 11.44754762924551, 12.835269001613405, 16.82436640285268, 10.927211702940342, 11.62091161887481, 13.528880263644748, 14.049166866057154), # 20
(14.107708302029813, 15.350042723666784, 14.477882348299607, 17.26878957545908, 15.513676504942126, 8.72161213757475, 11.512549792774463, 12.908061805578273, 16.91993802501453, 10.989254641262178, 11.686951842772585, 13.60572627718891, 14.12900342374791), # 21
(14.162387739779412, 15.394365104718803, 14.5196854045282, 17.31865979691097, 15.565538487569807, 8.746798023846914, 11.54577582655784, 12.945269641175082, 16.968789349444684, 11.02096811882954, 11.720708389194478, 13.645006184385087, 14.16981186396836), # 22
(14.182550708679697, 15.39961303155007, 14.524892455418383, 17.324903137860087, 15.578824878445637, 8.75, 11.549725603163076, 12.949291358024693, 16.974896728395063, 11.024709181527207, 11.724941252026436, 13.649856607224509, 14.175), # 23
(14.197417378247815, 15.396551851851854, 14.524040740740743, 17.324134722222226, 15.586350659060795, 8.75, 11.547555337690634, 12.943700000000002, 16.974078333333335, 11.02241086419753, 11.724474410774413, 13.648720987654322, 14.175), # 24
(14.211970122296213, 15.390517832647463, 14.522359396433473, 17.322614454732513, 15.593710923832306, 8.75, 11.543278463648836, 12.932716049382718, 16.97246141975309, 11.01788637402835, 11.723548759196907, 13.646479195244629, 14.175), # 25
(14.226207826667249, 15.381603155006863, 14.519871467764064, 17.320359619341563, 15.600905415789548, 8.75, 11.53696140563221, 12.916546913580248, 16.97006672839506, 11.011210992226795, 11.722172677391198, 13.643161957018751, 14.175), # 26
(14.240129377203292, 15.3699, 14.5166, 17.3173875, 15.607933877961901, 8.75, 11.528670588235297, 12.895400000000002, 16.966915, 11.00246, 11.720354545454546, 13.638800000000003, 14.175), # 27
(14.253733659746702, 15.355500548696845, 14.51256803840878, 17.313715380658437, 15.614796053378763, 8.75, 11.518472436052612, 12.869482716049385, 16.963026975308644, 10.9917086785551, 11.718102743484225, 13.633424051211708, 14.175), # 28
(14.26701956013985, 15.338496982167355, 14.50779862825789, 17.30936054526749, 15.62149168506951, 8.75, 11.506433373678693, 12.839002469135803, 16.95842339506173, 10.979032309099225, 11.715425651577503, 13.627064837677183, 14.175), # 29
(14.279985964225098, 15.318981481481483, 14.502314814814815, 17.30434027777778, 15.628020516063533, 8.75, 11.492619825708061, 12.804166666666665, 16.953125, 10.964506172839508, 11.71233164983165, 13.619753086419752, 14.175), # 30
(14.292631757844802, 15.297046227709194, 14.496139643347053, 17.29867186213992, 15.634382289390214, 8.75, 11.477098216735257, 12.765182716049384, 16.947152530864198, 10.948205550983083, 11.708829118343933, 13.611519524462738, 14.175), # 31
(14.304955826841338, 15.27278340192044, 14.489296159122084, 17.29237258230453, 15.640576748078935, 8.75, 11.4599349713548, 12.72225802469136, 16.940526728395064, 10.930205724737084, 11.704926437211622, 13.602394878829449, 14.175), # 32
(14.316957057057056, 15.246285185185185, 14.481807407407409, 17.28545972222222, 15.646603635159089, 8.75, 11.441196514161222, 12.675600000000001, 16.933268333333334, 10.910581975308643, 11.700631986531986, 13.59240987654321, 14.175), # 33
(14.328634334334335, 15.217643758573388, 14.473696433470508, 17.27795056584362, 15.652462693660054, 8.75, 11.420949269749054, 12.625416049382716, 16.925398086419758, 10.889409583904893, 11.695954146402293, 13.581595244627344, 14.175), # 34
(14.339986544515531, 15.186951303155007, 14.464986282578877, 17.26986239711934, 15.65815366661122, 8.75, 11.399259662712824, 12.571913580246914, 16.916936728395065, 10.866763831732968, 11.690901296919815, 13.569981710105168, 14.175), # 35
(14.35101257344301, 15.1543, 14.455700000000002, 17.2612125, 15.663676297041972, 8.75, 11.37619411764706, 12.515300000000002, 16.907905, 10.84272, 11.685481818181819, 13.557600000000003, 14.175), # 36
(14.361711306959135, 15.119782030178326, 14.445860631001374, 17.252018158436215, 15.669030327981691, 8.75, 11.351819059146292, 12.455782716049384, 16.89832364197531, 10.817353369913125, 11.679704090285574, 13.544480841335163, 14.175), # 37
(14.372081630906267, 15.083489574759948, 14.43549122085048, 17.242296656378603, 15.674215502459768, 8.75, 11.326200911805053, 12.393569135802473, 16.88821339506173, 10.790739222679472, 11.673576493328346, 13.530654961133976, 14.175), # 38
(14.382122431126781, 15.045514814814815, 14.424614814814818, 17.232065277777778, 15.679231563505585, 8.75, 11.299406100217867, 12.328866666666666, 16.877595000000003, 10.762952839506175, 11.667107407407409, 13.516153086419752, 14.175), # 39
(14.39183259346303, 15.005949931412895, 14.413254458161866, 17.221341306584364, 15.684078254148528, 8.75, 11.271501048979264, 12.261882716049385, 16.866489197530868, 10.734069501600368, 11.660305212620028, 13.501005944215823, 14.175), # 40
(14.40121100375738, 14.964887105624143, 14.401433196159124, 17.210142026748972, 15.688755317417984, 8.75, 11.242552182683774, 12.192824691358027, 16.85491672839506, 10.704164490169182, 11.653178289063476, 13.485244261545498, 14.175), # 41
(14.410256547852201, 14.922418518518521, 14.389174074074077, 17.198484722222226, 15.693262496343333, 8.75, 11.212625925925927, 12.121900000000002, 16.842898333333338, 10.673313086419753, 11.645735016835017, 13.4688987654321, 14.175), # 42
(14.418968111589852, 14.878636351165984, 14.376500137174213, 17.186386676954736, 15.697599533953966, 8.75, 11.181788703300251, 12.049316049382718, 16.83045475308642, 10.641590571559215, 11.637983776031925, 13.452000182898951, 14.175), # 43
(14.427344580812699, 14.83363278463649, 14.363434430727025, 17.173865174897124, 15.701766173279264, 8.75, 11.150106939401276, 11.975280246913583, 16.817606728395063, 10.609072226794698, 11.629932946751465, 13.434579240969367, 14.175), # 44
(14.435384841363105, 14.787500000000001, 14.350000000000001, 17.160937500000003, 15.705762157348616, 8.75, 11.11764705882353, 11.9, 16.804375, 10.575833333333335, 11.62159090909091, 13.416666666666666, 14.175), # 45
(14.443087779083434, 14.740330178326476, 14.336219890260631, 17.147620936213993, 15.709587229191404, 8.75, 11.084475486161544, 11.823682716049385, 16.790780308641974, 10.541949172382258, 11.612966043147525, 13.398293187014175, 14.175), # 46
(14.45045227981605, 14.692215500685872, 14.322117146776408, 17.133932767489714, 15.713241131837016, 8.75, 11.050658646009847, 11.746535802469136, 16.776843395061732, 10.507495025148607, 11.604066729018582, 13.37948952903521, 14.175), # 47
(14.457477229403315, 14.64324814814815, 14.307714814814817, 17.11989027777778, 15.716723608314837, 8.75, 11.016262962962964, 11.668766666666668, 16.762585, 10.472546172839506, 11.594901346801347, 13.360286419753088, 14.175), # 48
(14.464161513687602, 14.593520301783265, 14.29303593964335, 17.10551075102881, 15.720034401654251, 8.75, 10.981354861615428, 11.590582716049383, 16.748025864197533, 10.437177896662096, 11.585478276593093, 13.340714586191131, 14.175), # 49
(14.470504018511264, 14.543124142661183, 14.278103566529495, 17.090811471193415, 15.723173254884642, 8.75, 10.94600076656177, 11.512191358024692, 16.73318672839506, 10.401465477823503, 11.575805898491085, 13.32080475537266, 14.175), # 50
(14.476503629716676, 14.492151851851853, 14.262940740740742, 17.075809722222225, 15.726139911035398, 8.75, 10.910267102396515, 11.433800000000002, 16.718088333333338, 10.365484197530865, 11.565892592592595, 13.30058765432099, 14.175), # 51
(14.482159233146191, 14.440695610425243, 14.247570507544584, 17.060522788065846, 15.728934113135901, 8.75, 10.874220293714194, 11.355616049382716, 16.70275141975309, 10.329309336991313, 11.555746738994888, 13.280094010059445, 14.175), # 52
(14.487469714642183, 14.388847599451307, 14.232015912208508, 17.0449679526749, 15.731555604215542, 8.75, 10.837926765109337, 11.277846913580248, 16.687196728395065, 10.293016177411982, 11.545376717795238, 13.259354549611341, 14.175), # 53
(14.492433960047004, 14.336700000000002, 14.2163, 17.0291625, 15.734004127303704, 8.75, 10.801452941176471, 11.2007, 16.671445000000002, 10.256680000000001, 11.534790909090908, 13.2384, 14.175), # 54
(14.497050855203032, 14.284344993141291, 14.200445816186559, 17.01312371399177, 15.736279425429768, 8.75, 10.764865246510128, 11.124382716049384, 16.655516975308643, 10.220376085962506, 11.523997692979176, 13.217261088248744, 14.175), # 55
(14.501319285952622, 14.231874759945132, 14.184476406035667, 16.996868878600825, 15.738381241623124, 8.75, 10.728230105704835, 11.049102469135804, 16.63943339506173, 10.184179716506632, 11.513005449557303, 13.195968541380887, 14.175), # 56
(14.505238138138138, 14.179381481481483, 14.168414814814819, 16.98041527777778, 15.740309318913155, 8.75, 10.69161394335512, 10.975066666666669, 16.623215000000002, 10.148166172839508, 11.50182255892256, 13.174553086419753, 14.175), # 57
(14.508806297601952, 14.126957338820304, 14.152284087791497, 16.96378019547325, 15.742063400329245, 8.75, 10.655083184055517, 10.902482716049382, 16.606882530864198, 10.112410736168268, 11.490457401172218, 13.153045450388662, 14.175), # 58
(14.51202265018642, 14.07469451303155, 14.136107270233198, 16.946980915637862, 15.743643228900785, 8.75, 10.61870425240055, 10.83155802469136, 16.590456728395065, 10.076988687700048, 11.478918356403542, 13.131476360310929, 14.175), # 59
(14.51488608173391, 14.022685185185187, 14.119907407407407, 16.930034722222224, 15.745048547657152, 8.75, 10.582543572984749, 10.762500000000001, 16.573958333333337, 10.041975308641977, 11.467213804713806, 13.109876543209879, 14.175), # 60
(14.517395478086781, 13.971021536351168, 14.10370754458162, 16.912958899176957, 15.746279099627737, 8.75, 10.546667570402647, 10.695516049382718, 16.557408086419755, 10.00744588020119, 11.455352126200275, 13.088276726108827, 14.175), # 61
(14.519549725087407, 13.919795747599453, 14.087530727023323, 16.89577073045268, 15.74733462784193, 8.75, 10.51114266924877, 10.630813580246915, 16.540826728395064, 9.973475683584821, 11.44334170096022, 13.066707636031095, 14.175), # 62
(14.521347708578144, 13.869100000000001, 14.071400000000002, 16.878487500000002, 15.7482148753291, 8.75, 10.476035294117647, 10.568600000000002, 16.524235, 9.94014, 11.43119090909091, 13.045200000000001, 14.175), # 63
(14.522788314401359, 13.819026474622772, 14.05533840877915, 16.86112649176955, 15.74891958511865, 8.75, 10.44141186960381, 10.509082716049384, 16.50765364197531, 9.907514110653864, 11.41890813068961, 13.023784545038868, 14.175), # 64
(14.523870428399414, 13.769667352537724, 14.03936899862826, 16.843704989711934, 15.749448500239955, 8.75, 10.407338820301785, 10.45246913580247, 16.49110339506173, 9.875673296753543, 11.4065017458536, 13.00249199817101, 14.175), # 65
(14.524592936414676, 13.721114814814818, 14.023514814814817, 16.826240277777778, 15.749801363722403, 8.75, 10.373882570806101, 10.398966666666668, 16.474605000000004, 9.844692839506173, 11.393980134680135, 12.981353086419755, 14.175), # 66
(14.524954724289511, 13.673461042524005, 14.00779890260631, 16.808749639917696, 15.749977918595382, 8.75, 10.341109545711289, 10.348782716049385, 16.458179197530864, 9.814648020118886, 11.381351677266494, 12.960398536808412, 14.175), # 67
(14.524708260273156, 13.626548095048452, 13.99216832990398, 16.7910984366613, 15.749829137416285, 8.74983761621704, 10.308921272761506, 10.301681390032009, 16.44172298811157, 9.785468618306034, 11.368400383956526, 12.939542030659641, 14.174825210048013), # 68
(14.522398389694043, 13.578943727598569, 13.976183796296295, 16.772396920289854, 15.748474945533768, 8.748553909465022, 10.27637545388526, 10.25513827160494, 16.424516975308645, 9.756328946986201, 11.35380797448166, 12.918106562703056, 14.17344039351852), # 69
(14.517840102582454, 13.5304294437807, 13.95977580589849, 16.752521973966722, 15.74579903978052, 8.746025758268557, 10.243324188385918, 10.208733424782809, 16.40646404892547, 9.727087334247829, 11.337408441136512, 12.895991865809934, 14.170705268347055), # 70
(14.511097524900102, 13.481034236028144, 13.942950120027435, 16.731502905260335, 15.74183531025579, 8.742294131992075, 10.209782323354585, 10.162482213077277, 16.387591095107457, 9.697744503079695, 11.319262319097408, 12.873214112097802, 14.166655842764062), # 71
(14.502234782608697, 13.430787096774193, 13.9257125, 16.709369021739132, 15.736617647058825, 8.737400000000001, 10.175764705882354, 10.1164, 16.367925000000003, 9.668301176470589, 11.299430143540672, 12.849789473684211, 14.161328125), # 72
(14.491316001669949, 13.379717018452144, 13.90806870713306, 16.686149630971553, 15.730179940288872, 8.73138433165676, 10.141286183060329, 10.070502149062644, 16.347492649748517, 9.63875807740929, 11.277972449642624, 12.825734122686688, 14.154758123285324), # 73
(14.478405308045566, 13.32785299349529, 13.890024502743485, 16.661874040526033, 15.722556080045187, 8.72428809632678, 10.106361601979613, 10.024804023776863, 16.3263209304984, 9.609115928884586, 11.254949772579598, 12.801064231222776, 14.146981845850483), # 74
(14.463566827697262, 13.275224014336917, 13.871585648148148, 16.636571557971017, 15.713779956427018, 8.716152263374488, 10.0710058097313, 9.979320987654322, 16.30443672839506, 9.579375453885259, 11.23042264752791, 12.775795971410007, 14.138035300925928), # 75
(14.44686468658675, 13.22185907341033, 13.852757904663925, 16.610271490874936, 15.703885459533609, 8.707017802164305, 10.035233653406493, 9.934068404206677, 16.281866929583906, 9.549537375400092, 11.20445160966389, 12.749945515365916, 14.127954496742113), # 76
(14.428363010675731, 13.167787163148816, 13.833547033607681, 16.583003146806227, 15.692906479464213, 8.696925682060662, 9.999059980096293, 9.88906163694559, 16.258638420210335, 9.519602416417872, 11.177097194163862, 12.723529035208049, 14.116775441529496), # 77
(14.408125925925928, 13.113037275985667, 13.813958796296298, 16.554795833333333, 15.680876906318085, 8.685916872427983, 9.962499636891796, 9.844316049382718, 16.23477808641975, 9.489571299927379, 11.148419936204148, 12.696562703053933, 14.10453414351852), # 78
(14.386217558299041, 13.057638404354178, 13.793998954046641, 16.525678858024694, 15.667830630194468, 8.674032342630696, 9.925567470884102, 9.799847005029722, 16.210312814357568, 9.4594447489174, 11.118480370961072, 12.669062691021107, 14.091266610939643), # 79
(14.362702033756786, 13.001619540687642, 13.773673268175584, 16.495681528448742, 15.653801541192612, 8.661313062033226, 9.888278329164315, 9.755669867398264, 16.185269490169183, 9.429223486376719, 11.087339033610965, 12.64104517122711, 14.07700885202332), # 80
(14.337643478260873, 12.945009677419357, 13.752987500000001, 16.464833152173917, 15.638823529411765, 8.6478, 9.85064705882353, 9.711800000000002, 16.159675, 9.398908235294119, 11.055056459330146, 12.612526315789475, 14.061796875), # 81
(14.311106017773009, 12.887837806982612, 13.731947410836765, 16.433163036768654, 15.622930484951183, 8.633534125895444, 9.812688506952853, 9.668252766346594, 16.133556229995428, 9.368499718658382, 11.02169318329494, 12.583522296825743, 14.045666688100141), # 82
(14.283153778254908, 12.8301329218107, 13.710558762002744, 16.400700489801395, 15.606156297910111, 8.618556409083983, 9.774417520643375, 9.625043529949703, 16.10694006630087, 9.337998659458297, 10.987309740681672, 12.554049286453447, 14.028654299554185), # 83
(14.253850885668278, 12.77192401433692, 13.688827314814816, 16.36747481884058, 15.588534858387801, 8.602907818930042, 9.735848946986202, 9.582187654320988, 16.07985339506173, 9.307405780682645, 10.951966666666667, 12.524123456790125, 14.010795717592593), # 84
(14.223261465974833, 12.713240076994557, 13.666758830589849, 16.333515331454645, 15.5701000564835, 8.58662932479805, 9.696997633072435, 9.53970050297211, 16.05232310242341, 9.276721805320209, 10.915724496426252, 12.493760979953313, 13.992126950445819), # 85
(14.191449645136279, 12.654110102216913, 13.644359070644722, 16.298851335212028, 15.550885782296458, 8.569761896052432, 9.65787842599317, 9.497597439414724, 16.024376074531325, 9.245947456359774, 10.878643765136749, 12.462978028060553, 13.97268400634431), # 86
(14.15847954911433, 12.594563082437277, 13.621633796296296, 16.26351213768116, 15.53092592592593, 8.552346502057613, 9.618506172839506, 9.455893827160494, 15.996039197530868, 9.215083456790124, 10.840785007974482, 12.43179077322937, 13.95250289351852), # 87
(14.124415303870702, 12.534628010088941, 13.598588768861456, 16.22752704643049, 15.510254377471155, 8.534424112178023, 9.578895720702548, 9.414605029721079, 15.967339357567447, 9.184130529600042, 10.802208760115779, 12.400215387577312, 13.931619620198905), # 88
(14.089321035367092, 12.474333877605204, 13.575229749657066, 16.19092536902845, 15.488905027031391, 8.516035695778085, 9.539061916673392, 9.37374641060814, 15.938303440786468, 9.153089397778317, 10.762975556736963, 12.36826804322191, 13.910070194615912), # 89
(14.053260869565218, 12.413709677419357, 13.551562500000001, 16.153736413043482, 15.466911764705886, 8.497222222222224, 9.499019607843138, 9.333333333333334, 15.908958333333336, 9.121960784313726, 10.723145933014354, 12.335964912280703, 13.887890625), # 90
(14.016298932426789, 12.352784401964689, 13.527592781207133, 16.11598948604402, 15.444308480593882, 8.478024660874867, 9.458783641302887, 9.293381161408323, 15.879330921353455, 9.090745412195057, 10.682780424124285, 12.303322166871226, 13.865116919581618), # 91
(13.978499349913523, 12.2915870436745, 13.503326354595337, 16.0777138955985, 15.421129064794641, 8.458483981100443, 9.418368864143739, 9.253905258344766, 15.84944809099223, 9.059444004411093, 10.641939565243074, 12.270355979111017, 13.841785086591221), # 92
(13.939926247987117, 12.230146594982081, 13.478768981481483, 16.038938949275366, 15.397407407407409, 8.438641152263374, 9.37779012345679, 9.214920987654322, 15.819336728395063, 9.028057283950616, 10.600683891547051, 12.23708252111761, 13.81793113425926), # 93
(13.900643752609293, 12.168492048320722, 13.453926423182445, 15.999693954643051, 15.37317739853143, 8.418537143728091, 9.337062266333147, 9.176443712848654, 15.789023719707364, 8.996585973802416, 10.559073938212535, 12.203517965008546, 13.793591070816188), # 94
(13.860715989741754, 12.106652396123724, 13.42880444101509, 15.960008219269996, 15.34847292826596, 8.398212924859017, 9.296200139863902, 9.138488797439416, 15.758535951074533, 8.96503079695527, 10.517170240415854, 12.169678482901354, 13.768800904492457), # 95
(13.820207085346219, 12.044656630824377, 13.403408796296299, 15.91991105072464, 15.32332788671024, 8.377709465020576, 9.25521859114016, 9.101071604938273, 15.727900308641976, 8.933392476397968, 10.475033333333334, 12.135580246913582, 13.74359664351852), # 96
(13.779181165384388, 11.98253374485597, 13.377745250342937, 15.879431756575416, 15.297776163963531, 8.357067733577198, 9.21413246725302, 9.064207498856883, 15.6971436785551, 8.901671735119288, 10.432723752141296, 12.101239429162758, 13.718014296124831), # 97
(13.737702355817978, 11.9203127306518, 13.35181956447188, 15.83859964439077, 15.271851650125074, 8.336328699893311, 9.17295661529358, 9.027911842706905, 15.666292946959304, 8.86986929610802, 10.390302032016068, 12.066672201766417, 13.69208987054184), # 98
(13.695834782608697, 11.858022580645162, 13.325637500000003, 15.797444021739132, 15.24558823529412, 8.315533333333335, 9.131705882352943, 8.9922, 15.635375000000002, 8.83798588235294, 10.347828708133973, 12.031894736842107, 13.665859375000002), # 99
(13.653642571718258, 11.795692287269347, 13.29920481824417, 15.755994196188944, 15.21901980956992, 8.294722603261699, 9.090395115522204, 8.957087334247829, 15.60441672382259, 8.806022216842843, 10.305364315671335, 11.996923206507354, 13.639358817729768), # 100
(13.611189849108369, 11.733350842957654, 13.272527280521263, 15.714279475308645, 15.192180263051725, 8.273937479042829, 9.049039161892468, 8.922589208962048, 15.573445004572475, 8.773979022566504, 10.262969389804478, 11.961773782879694, 13.612624206961591), # 101
(13.568540740740744, 11.67102724014337, 13.245610648148148, 15.67232916666667, 15.165103485838781, 8.253218930041154, 9.00765286855483, 8.888720987654322, 15.542486728395062, 8.741857022512711, 10.22070446570973, 11.926462638076675, 13.585691550925928), # 102
(13.525759372577088, 11.60875047125979, 13.218460682441702, 15.630172577831457, 15.137823368030341, 8.232607925621096, 8.966251082600394, 8.855498033836307, 15.511568781435757, 8.709656939670245, 10.178630078563414, 11.891005944215824, 13.558596857853223), # 103
(13.482909870579116, 11.546549528740211, 13.191083144718794, 15.587839016371445, 15.110373799725652, 8.212145435147082, 8.924848651120257, 8.822935711019662, 15.480718049839965, 8.677379497027893, 10.13680676354185, 11.855419873414677, 13.53137613597394), # 104
(13.440056360708535, 11.484453405017922, 13.163483796296298, 15.545357789855073, 15.082788671023966, 8.19187242798354, 8.883460421205521, 8.79104938271605, 15.449961419753087, 8.64502541757444, 10.095295055821373, 11.819720597790775, 13.50406539351852), # 105
(13.39726296892706, 11.42249109252622, 13.135668398491084, 15.50275820585078, 15.055101872024531, 8.171829873494895, 8.842101239947283, 8.759854412437129, 15.41932577732053, 8.612595424298663, 10.054155490578298, 11.783924289461654, 13.476700638717421), # 106
(13.3545938211964, 11.360691583698395, 13.10764271262003, 15.460069571927, 15.027347292826596, 8.152058741045574, 8.800785954436646, 8.72936616369456, 15.388838008687703, 8.580090240189355, 10.013448602988953, 11.748047120544847, 13.449317879801098), # 107
(13.312113043478263, 11.299083870967744, 13.079412500000002, 15.417321195652177, 14.999558823529412, 8.132600000000002, 8.759529411764706, 8.699600000000002, 15.358525000000002, 8.547510588235296, 9.973234928229665, 11.712105263157897, 13.421953125000002), # 108
(13.26988476173436, 11.237696946767558, 13.050983521947876, 15.374542384594738, 14.97177035423223, 8.113494619722603, 8.718346459022568, 8.670571284865114, 15.328413637402836, 8.514857191425268, 9.933575001476758, 11.676114889418335, 13.394642382544584), # 109
(13.227973101926404, 11.176559803531132, 13.022361539780524, 15.331762446323136, 14.944015775034297, 8.094783569577809, 8.677251943301325, 8.642295381801555, 15.29853080704161, 8.482130772748057, 9.894529357906551, 11.640092171443701, 13.367421660665297), # 110
(13.186442190016104, 11.11570143369176, 12.993552314814819, 15.2890106884058, 14.91632897603486, 8.076507818930043, 8.636260711692085, 8.614787654320988, 15.26890339506173, 8.449332055192448, 9.856158532695375, 11.60405328135153, 13.340326967592594), # 111
(13.14535615196517, 11.055150829682729, 12.96456160836763, 15.246316418411165, 14.888743847333174, 8.05870833714373, 8.595387611285942, 8.588063465935072, 15.239558287608595, 8.416461761747223, 9.818523061019553, 11.568014391259355, 13.313394311556928), # 112
(13.104705913184263, 10.995038066300333, 12.935464959552897, 15.203767435488858, 14.861245952243188, 8.04141767690032, 8.554736349119478, 8.562193596292849, 15.21059793576207, 8.383626631257822, 9.781693468614014, 11.5320701111062, 13.286621461180511), # 113
(13.064073257060091, 10.935956056935751, 12.906663945030267, 15.161705189788272, 14.833550696392859, 8.024596451941862, 8.514825491774811, 8.537495763307168, 15.182466649998286, 8.351441235077896, 9.745742071958476, 11.496677040958165, 13.25978557982405), # 114
(13.023338864205595, 10.877926078156266, 12.878175705790246, 15.120118307254492, 14.805570749044042, 8.008200917498272, 8.475683510268187, 8.513963715990194, 15.155174970136306, 8.319955459183308, 9.710616315997932, 11.461852615582393, 13.232809284324528), # 115
(12.982451822532688, 10.820863593808383, 12.849945065977423, 15.078932610372966, 14.777263936937292, 7.992192428201937, 8.43724674453905, 8.491532438058591, 15.128653874918964, 8.289110701829367, 9.676248303780074, 11.427532476482286, 13.205650163658248), # 116
(12.941361219953283, 10.76468406773861, 12.82191684973638, 15.038073921629142, 14.748588086813156, 7.976532338685248, 8.399451534526854, 8.47013691322902, 15.102834343089086, 8.258848361271381, 9.642570138352598, 11.39365226516125, 13.178265806801516), # 117
(12.900016144379297, 10.709302963793455, 12.794035881211714, 14.997468063508467, 14.71950102541218, 7.9611820035805945, 8.362234220171041, 8.449712125218136, 15.07764735338951, 8.229109835764664, 9.609513922763194, 11.36014762312269, 13.150613802730636), # 118
(12.858365683722639, 10.654635745819421, 12.766246984548014, 14.95704085849639, 14.689960579474912, 7.946102777520366, 8.325531141411059, 8.430193057742605, 15.053023884563062, 8.199836523564521, 9.577011760059559, 11.326954191870009, 13.122651740421906), # 119
(12.816358925895228, 10.600597877663022, 12.738494983889867, 14.916718129078353, 14.659924575741897, 7.931256015136952, 8.289278638186355, 8.41151469451908, 15.028894915352582, 8.170969822926269, 9.544995753289383, 11.294007612906617, 13.094337208851638), # 120
(12.773944958808976, 10.547104823170763, 12.710724703381864, 14.876425697739808, 14.629350840953688, 7.9166030710627435, 8.253413050436373, 8.39361201926423, 15.0051914245009, 8.142451132105215, 9.513398005500363, 11.261243527735912, 13.065627796996127), # 121
(12.731072870375797, 10.494072046189146, 12.682880967168597, 14.836089386966199, 14.598197201850828, 7.902105299930128, 8.217870718100565, 8.376420015694709, 14.981844390750846, 8.11422184935667, 9.482150619740192, 11.228597577861303, 13.036481093831679), # 122
(12.687691748507607, 10.441415010564684, 12.65490859939465, 14.795635019242972, 14.56642148517387, 7.887724056371495, 8.182587981118376, 8.359873667527177, 14.958784792845258, 8.086223372935942, 9.451185699056563, 11.19600540478619, 13.0068546883346), # 123
(12.643750681116316, 10.389049180143882, 12.62675242420462, 14.754988417055582, 14.533981517663353, 7.873420695019235, 8.147501179429248, 8.343907958478297, 14.935943609526962, 8.058397101098347, 9.420435346497168, 11.163402650013985, 12.976706169481197), # 124
(12.599198756113843, 10.33689001877325, 12.598357265743093, 14.714075402889465, 14.500835126059833, 7.859156570505739, 8.112546652972636, 8.328457872264728, 14.913251819538791, 8.030684432099187, 9.389831665109703, 11.130724955048088, 12.94599312624776), # 125
(12.553985061412101, 10.284852990299292, 12.56966794815466, 14.672821799230077, 14.466940137103851, 7.844893037463395, 8.077660741687978, 8.31345839260313, 14.890640401623585, 8.00302676419378, 9.359306757941859, 11.097907961391908, 12.91467314761061), # 126
(12.508058684923006, 10.232853558568515, 12.540629295583907, 14.63115342856286, 14.432254377535958, 7.830591450524592, 8.042779785514732, 8.298844503210164, 14.86804033452417, 7.975365495637434, 9.32879272804133, 11.064887310548842, 12.88270382254604), # 127
(12.461368714558466, 10.18080718742743, 12.51118613217543, 14.588996113373266, 14.396735674096707, 7.816213164321722, 8.007840124392336, 8.284551187802489, 14.845382596983379, 7.947642024685458, 9.298221678455814, 11.031598644022305, 12.850042740030352), # 128
(12.413864238230394, 10.128629340722538, 12.481283282073816, 14.546275676146736, 14.360341853526638, 7.801719533487173, 7.972778098260239, 8.270513430096765, 14.822598167744045, 7.919797749593164, 9.267525712233, 10.997977603315691, 12.816647489039854), # 129
(12.365494343850713, 10.076235482300353, 12.450865569423652, 14.502917939368722, 14.3230307425663, 7.7870719126533325, 7.937530047057888, 8.256666213809652, 14.799618025549002, 7.89177406861586, 9.236636932420582, 10.963959829932413, 12.78247565855085), # 130
(12.316208119331334, 10.023541076007378, 12.419877818369534, 14.458848725524668, 14.284760167956243, 7.772231656452593, 7.902032310724733, 8.24294452265781, 14.776373149141081, 7.86351238000886, 9.205487442066255, 10.929480965375875, 12.747484837539638), # 131
(12.265954652584163, 9.970461585690122, 12.388264853056045, 14.413993857100023, 14.245487956437017, 7.757160119517344, 7.8662212292002165, 8.229283340357902, 14.752794517263117, 7.834954082027471, 9.17400934421771, 10.894476651149478, 12.711632614982527), # 132
(12.21468303152113, 9.91691247519509, 12.355971497627777, 14.368279156580234, 14.205171934749162, 7.741818656479974, 7.830033142423786, 8.215617650626585, 14.728813108657938, 7.806040572927006, 9.142134741922645, 10.85888252875663, 12.674876579855821), # 133
(12.162342344054133, 9.862809208368793, 12.322942576229327, 14.321630446450746, 14.163769929633231, 7.726168621972872, 7.79340439033489, 8.201882437180522, 14.704359902068381, 7.776713250962773, 9.109795738228751, 10.822634239700733, 12.637174321135817), # 134
(12.108881678095097, 9.808067249057736, 12.289122913005274, 14.273973549197011, 14.12123976782977, 7.710171370628429, 7.756271312872975, 8.18801268373637, 14.679365876237274, 7.746913514390087, 9.07692443618372, 10.785667425485194, 12.59848342779883), # 135
(12.05425012155593, 9.752602061108423, 12.254457332100213, 14.225234287304469, 14.077539276079325, 7.693788257079036, 7.718570249977489, 8.173943374010788, 14.65376200990745, 7.716582761464252, 9.043452938835248, 10.747917727613418, 12.558761488821151), # 136
(11.998396762348548, 9.696329108367367, 12.218890657658735, 14.175338483258576, 14.032626281122448, 7.6769806359570785, 7.6802375415878785, 8.159609491720442, 14.627479281821747, 7.685662390440583, 9.009313349231029, 10.709320787588808, 12.517966093179089), # 137
(11.941270688384867, 9.639163854681073, 12.182367713825425, 14.12421195954477, 13.986458609699687, 7.6597098618949495, 7.6412095276435865, 8.144946020581987, 14.600448670722995, 7.654093799574386, 8.974437770418753, 10.66981224691477, 12.476054829848946), # 138
(11.882820987576796, 9.581021763896047, 12.144833324744877, 14.071780538648504, 13.938994088551583, 7.641937289525037, 7.601422548084064, 8.129887944312085, 14.572601155354022, 7.621818387120976, 8.938758305446116, 10.62932774709471, 12.432985287807028), # 139
(11.822996747836257, 9.521818299858795, 12.106232314561684, 14.017970043055223, 13.890190544418692, 7.623624273479732, 7.560812942848756, 8.114370246627395, 14.543867714457667, 7.588777551335661, 8.902207057360812, 10.58780292963203, 12.38871505602964), # 140
(11.761747057075162, 9.46146892641583, 12.066509507420426, 13.962706295250376, 13.840005804041555, 7.604732168391422, 7.519317051877113, 8.09832791124458, 14.514179326776754, 7.554912690473753, 8.864716129210535, 10.545173436030137, 12.34320172349308), # 141
(11.69902100320542, 9.399889107413653, 12.0256097274657, 13.90591511771941, 13.788397694160723, 7.585222328892499, 7.476871215108577, 8.081695921880296, 14.48346697105412, 7.52016520279056, 8.826217624042977, 10.501374907792433, 12.296402879173653), # 142
(11.634767674138946, 9.336994306698774, 11.983477798842097, 13.847522332947767, 13.735324041516742, 7.56505610961535, 7.4334117724825965, 8.064409262251205, 14.451661626032607, 7.484476486541395, 8.786643644905832, 10.456342986422326, 12.248276112047666), # 143
(11.56893615778766, 9.2726999881177, 11.9400585456942, 13.787453763420901, 13.680742672850162, 7.544194865192366, 7.3888750639386185, 8.04640291607397, 14.418694270455035, 7.4477879399815645, 8.745926294846791, 10.41001331342322, 12.198779011091421), # 144
(11.501475542063469, 9.20692161551694, 11.895296792166606, 13.725635231624254, 13.624611414901528, 7.5225999502559375, 7.343197429416091, 8.027611867065247, 14.384495883064238, 7.410040961366383, 8.703997676913554, 10.36232153029852, 12.14786916528122), # 145
(11.432334914878291, 9.139574652742999, 11.849137362403903, 13.661992560043277, 13.566888094411391, 7.500232719438453, 7.2963152088544625, 8.007971098941699, 14.34899744260305, 7.37117694895116, 8.660789894153808, 10.313203278551628, 12.095504163593366), # 146
(11.361463364144042, 9.070574563642383, 11.801525080550675, 13.596451571163414, 13.507530538120294, 7.477054527372301, 7.2481647421931745, 7.987415595419982, 14.312129927814308, 7.331137300991204, 8.616235049615252, 10.262594199685955, 12.041641595004167), # 147
(11.288809977772631, 8.999836812061604, 11.752404770751518, 13.528938087470117, 13.446496572768787, 7.453026728689875, 7.198682369371678, 7.965880340216761, 14.273824317440841, 7.289863415741826, 8.570265246345576, 10.210429935204898, 11.986239048489919), # 148
(11.214323843675977, 8.927276861847163, 11.701721257151021, 13.459377931448826, 13.38374402509742, 7.42811067802356, 7.147804430329418, 7.943300317048694, 14.234011590225474, 7.247296691458339, 8.522812587392474, 10.156646126611868, 11.929254113026934), # 149
(11.137954049765991, 8.852810176845571, 11.649419363893772, 13.387696925584994, 13.319230721846738, 7.402267730005749, 7.0954672650058415, 7.91961050963244, 14.192622724911054, 7.2033785263960475, 8.473809175803641, 10.101178415410269, 11.870644377591507), # 150
(11.059649683954586, 8.776352220903336, 11.59544391512436, 13.313820892364063, 13.252914489757288, 7.375459239268828, 7.041607213340397, 7.8947459016846615, 14.149588700240406, 7.15805031881027, 8.423187114626767, 10.043962443103501, 11.810367431159946), # 151
(10.979359834153682, 8.697818457866962, 11.539739734987382, 13.237675654271488, 13.184753155569618, 7.34764656044519, 6.986160615272531, 7.8686414769220185, 14.10484049495636, 7.11125346695631, 8.37087850690955, 9.984933851194974, 11.748380862708558), # 152
(10.897033588275185, 8.61712435158296, 11.482251647627416, 13.159187033792707, 13.11470454602428, 7.318791048167222, 6.929063810741687, 7.841232219061167, 14.058309087801755, 7.062929369089481, 8.316815455699683, 9.92402828118809, 11.68464226121364), # 153
(10.81262003423102, 8.534185365897834, 11.422924477189063, 13.078280853413174, 13.042726487861813, 7.288854057067317, 6.87025313968732, 7.8124531118187726, 14.009925457519413, 7.013019423465095, 8.260930064044857, 9.861181374586256, 11.6191092156515), # 154
(10.72606825993309, 8.448916964658093, 11.361703047816906, 12.99488293561833, 12.968776807822776, 7.257796941777861, 6.809664942048866, 7.782239138911491, 13.95962058285218, 6.9614650283384565, 8.203154434992767, 9.796328772892876, 11.551739314998438), # 155
(10.637327353293314, 8.361234611710243, 11.298532183655539, 12.908919102893627, 12.892813332647707, 7.225581056931246, 6.74723555776578, 7.750525284055986, 13.907325442542877, 6.9082075819648825, 8.143420671591107, 9.729406117611353, 11.48249014823076), # 156
(10.546346402223609, 8.271053770900794, 11.233356708849547, 12.820315177724513, 12.81479388907716, 7.19216775715986, 6.6829013267775075, 7.717246530968915, 13.852971015334345, 6.853188482599679, 8.08166087688757, 9.660349050245092, 11.411319304324769), # 157
(10.450553324967336, 8.176634369081162, 11.163028735463298, 12.725677414311741, 12.731153548219398, 7.155434266843955, 6.615149409299001, 7.680115733289122, 13.792326928238738, 6.794712282807602, 8.01583405355452, 9.586639389872076, 11.335080203181485), # 158
(10.335201473769764, 8.06829144743927, 11.069432945764184, 12.605568022303835, 12.62126783369428, 7.103165507209945, 6.535497868740003, 7.626098945870136, 13.700998165711002, 6.723193391738244, 7.934383709866593, 9.493907533156353, 11.235598705688274), # 159
(10.198820932866035, 7.945135419957, 10.950689341138245, 12.458008514572404, 12.482988183885514, 7.034077814466758, 6.443141247737298, 7.553838865338286, 13.576395318120113, 6.637687912608051, 7.8361633120533565, 9.380702728442985, 11.110988852451014), # 160
(10.042510876420344, 7.8079692153126565, 10.808065760674433, 12.28440150525942, 12.317750373994958, 6.94900813819844, 6.338754024409627, 7.464240746353693, 13.420161673798626, 6.5389214704393135, 7.7220383164395905, 9.248074456470599, 10.962523662746737), # 161
(9.8673704785969, 7.657595762184535, 10.642830043461695, 12.086149608506858, 12.126990179224487, 6.848793427989039, 6.223010676875733, 7.358209843576484, 13.233940521079093, 6.427619690254325, 7.592874179350069, 9.09707219797781, 10.791476155852466), # 162
(9.674498913559898, 7.494817989250934, 10.456250028588983, 11.864655438456708, 11.912143374775964, 6.734270633422602, 6.096585683254362, 7.2366514116667755, 13.019375148294069, 6.304508197075376, 7.449536357109572, 8.928745433703247, 10.599119351045232), # 163
(9.464995355473539, 7.320438825190149, 10.249593555145248, 11.621321609250947, 11.674645735851264, 6.606276704083181, 5.960153521664253, 7.100470705284697, 12.778108843776113, 6.170312615924756, 7.292890306042875, 8.744143644385526, 10.386726267602059), # 164
(9.239958978502024, 7.135261198680485, 10.024128462219437, 11.357550735031554, 11.415933037652254, 6.465648589554821, 5.814388670224151, 6.950572979090365, 12.511784895857772, 6.02575857182476, 7.123801482474756, 8.544316310763268, 10.155569924799979), # 165
(9.000488956809557, 6.940088038400237, 9.7811225889005, 11.074745429940503, 11.137441055380801, 6.313223239421572, 5.659965607052801, 6.787863487743908, 12.222046592871603, 5.871571689797677, 6.943135342729992, 8.330312913575103, 9.906923341916015), # 166
(8.747684464560333, 6.735722273027703, 9.521843774277388, 10.774308308119782, 10.840605564238773, 6.149837603267482, 5.497558810268945, 6.613247485905448, 11.91053722315016, 5.7084775948658, 6.751757343133359, 8.103182933559642, 9.642059538227196), # 167
(8.482644675918554, 6.52296683124118, 9.247559857439049, 10.457641983711365, 10.526862339428039, 5.9763286306765995, 5.327842757991326, 6.427630228235103, 11.578900075025999, 5.5372019120514215, 6.550532940009634, 7.863975851455517, 9.362251533010546), # 168
(8.206468765048422, 6.302624641718972, 8.959538677474432, 10.126149070857236, 10.197647156150468, 5.793533271232973, 5.151491928338689, 6.231916969393004, 11.228778436831673, 5.358470266376831, 6.3403275896835956, 7.613741148001342, 9.0687723455431), # 169
(7.9202559061141375, 6.0754986331393726, 8.659048073472489, 9.781232183699368, 9.854395789607928, 5.60228847452065, 4.9691807994297745, 6.027012964039266, 10.861815596899735, 5.173008282864322, 6.122006748480023, 7.353528303935743, 8.762894995101878), # 170
(7.6251052732799005, 5.842391734180682, 8.34735588452217, 9.424293936379751, 9.498544015002288, 5.403431190123678, 4.781583849383328, 5.813823466834017, 10.47965484356274, 4.981541586536184, 5.896435872723688, 7.0843867999973416, 8.445892500963913), # 171
(7.322116040709912, 5.604106873521197, 8.025729949712423, 9.056736943040356, 9.131527607535416, 5.197798367626108, 4.5893755563180925, 5.593253732437379, 10.083939465153241, 4.784795802414712, 5.664480418739371, 6.80736611692476, 8.119037882406225), # 172
(7.012387382568372, 5.3614469798392195, 7.695438108132197, 8.679963817823166, 8.754782342409182, 4.9862269566119855, 4.39323039835281, 5.366209015509473, 9.676312750003792, 4.583496555522195, 5.427005842851849, 6.523515735456615, 7.783604158705848), # 173
(6.697018473019482, 5.115214981813045, 7.357748198870443, 8.295377174870158, 8.369743994825454, 4.76955390666536, 4.193822853606226, 5.133594570710425, 9.25841798644695, 4.3783694708809255, 5.1848776013858995, 6.233885136331535, 7.440864349139807), # 174
(6.377108486227438, 4.866213808120973, 7.013928061016112, 7.904379628323315, 7.977848339986097, 4.54861616737028, 3.9918274001970815, 4.896315652700355, 8.831898462815268, 4.170140173513194, 4.938961150666297, 5.939523800288141, 7.092091472985131), # 175
(6.053756596356447, 4.615246387441302, 6.66524553365815, 7.508373792324615, 7.580531153092983, 4.324250688310793, 3.787918516244121, 4.655277516139389, 8.3983974674413, 3.959534288441294, 4.690121947017822, 5.641481208065051, 6.738558549518844), # 176
(5.7280619775707065, 4.363115648452332, 6.3129684558855095, 7.108762281016037, 7.179228209347984, 4.097294419070949, 3.582770679866088, 4.411385415687646, 7.959558288657599, 3.7472774406875144, 4.43922544676525, 5.340806840400891, 6.381538598017975), # 177
(5.401123804034416, 4.11062451983236, 5.95836466678714, 6.7069477085395635, 6.775375283952959, 3.8685843092347962, 3.3770583691817246, 4.165544606005252, 7.51702421479672, 3.5340952552741505, 4.187137106233358, 5.038550178034279, 6.022304637759553), # 178
(0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0), # 179
)
passenger_arriving_acc = (
(11, 6, 8, 11, 5, 4, 6, 5, 2, 1, 1, 1, 0, 8, 2, 7, 3, 8, 6, 6, 2, 3, 2, 2, 2, 0), # 0
(16, 10, 12, 18, 7, 7, 11, 9, 3, 3, 2, 2, 0, 12, 6, 13, 6, 15, 10, 9, 3, 9, 5, 5, 2, 0), # 1
(25, 18, 18, 21, 12, 11, 13, 12, 6, 6, 2, 3, 0, 19, 15, 18, 11, 18, 13, 12, 4, 13, 9, 7, 2, 0), # 2
(39, 25, 27, 32, 19, 15, 18, 17, 9, 9, 4, 3, 0, 23, 21, 25, 16, 27, 23, 17, 6, 19, 10, 8, 2, 0), # 3
(48, 37, 33, 43, 23, 18, 23, 18, 12, 9, 4, 6, 0, 30, 25, 33, 25, 37, 27, 20, 12, 23, 12, 10, 2, 0), # 4
(59, 45, 41, 52, 29, 19, 28, 24, 16, 11, 5, 8, 0, 35, 35, 38, 33, 46, 28, 21, 13, 27, 16, 12, 2, 0), # 5
(70, 59, 49, 57, 42, 21, 31, 27, 21, 11, 6, 9, 0, 41, 42, 46, 39, 57, 35, 31, 14, 36, 20, 12, 3, 0), # 6
(77, 71, 54, 70, 47, 26, 32, 31, 26, 11, 8, 10, 0, 53, 47, 56, 44, 65, 41, 36, 16, 40, 21, 13, 3, 0), # 7
(91, 86, 60, 82, 54, 28, 35, 36, 33, 13, 9, 10, 0, 77, 53, 60, 50, 69, 44, 42, 18, 44, 22, 14, 4, 0), # 8
(108, 95, 65, 90, 59, 32, 40, 42, 42, 14, 11, 10, 0, 85, 63, 63, 58, 78, 49, 46, 23, 47, 25, 15, 6, 0), # 9
(120, 104, 72, 103, 65, 37, 45, 45, 47, 15, 11, 10, 0, 93, 78, 69, 62, 89, 55, 48, 29, 48, 29, 18, 8, 0), # 10
(137, 124, 83, 118, 70, 41, 52, 49, 49, 15, 11, 10, 0, 99, 85, 79, 75, 100, 56, 57, 33, 53, 31, 20, 8, 0), # 11
(145, 138, 92, 124, 79, 46, 57, 51, 51, 16, 13, 11, 0, 109, 89, 90, 83, 113, 65, 61, 35, 57, 34, 23, 8, 0), # 12
(152, 148, 104, 129, 89, 52, 59, 55, 60, 17, 14, 11, 0, 122, 101, 95, 94, 127, 73, 72, 39, 62, 36, 25, 9, 0), # 13
(161, 158, 113, 140, 94, 54, 63, 57, 63, 20, 17, 12, 0, 140, 108, 104, 100, 139, 75, 76, 41, 68, 39, 29, 10, 0), # 14
(172, 172, 123, 147, 108, 58, 67, 62, 69, 23, 17, 16, 0, 157, 119, 119, 106, 151, 85, 82, 50, 72, 45, 30, 11, 0), # 15
(186, 186, 127, 154, 118, 63, 73, 70, 72, 24, 18, 17, 0, 162, 134, 129, 113, 160, 96, 92, 53, 78, 47, 34, 11, 0), # 16
(196, 194, 139, 165, 121, 66, 79, 75, 81, 27, 20, 17, 0, 174, 145, 142, 124, 168, 101, 94, 54, 86, 51, 36, 12, 0), # 17
(206, 206, 152, 172, 129, 69, 87, 80, 94, 32, 25, 19, 0, 189, 156, 155, 131, 176, 112, 101, 56, 88, 52, 38, 13, 0), # 18
(216, 219, 171, 187, 130, 76, 93, 89, 100, 34, 27, 19, 0, 207, 162, 167, 140, 183, 125, 109, 58, 91, 58, 40, 15, 0), # 19
(229, 232, 181, 197, 143, 80, 97, 94, 108, 38, 30, 20, 0, 221, 170, 170, 147, 192, 135, 115, 60, 98, 65, 42, 16, 0), # 20
(241, 247, 195, 206, 152, 83, 106, 98, 114, 43, 31, 20, 0, 230, 188, 181, 156, 203, 145, 122, 61, 102, 70, 45, 18, 0), # 21
(258, 257, 204, 217, 155, 88, 117, 101, 122, 44, 35, 23, 0, 242, 198, 194, 162, 212, 156, 129, 67, 106, 77, 46, 20, 0), # 22
(269, 267, 211, 230, 160, 90, 119, 108, 129, 46, 40, 24, 0, 254, 213, 204, 171, 219, 161, 132, 72, 112, 82, 49, 20, 0), # 23
(281, 279, 226, 243, 165, 96, 124, 115, 134, 47, 43, 24, 0, 268, 226, 214, 178, 227, 166, 137, 74, 118, 85, 50, 21, 0), # 24
(300, 288, 233, 260, 173, 97, 133, 120, 140, 48, 45, 25, 0, 280, 238, 223, 188, 234, 179, 145, 76, 121, 87, 53, 21, 0), # 25
(319, 303, 239, 273, 178, 101, 135, 127, 145, 50, 47, 25, 0, 291, 254, 238, 194, 246, 187, 151, 80, 130, 93, 56, 21, 0), # 26
(337, 318, 254, 283, 191, 108, 136, 133, 149, 54, 49, 26, 0, 300, 271, 248, 201, 263, 196, 153, 84, 133, 95, 58, 22, 0), # 27
(356, 334, 266, 298, 198, 113, 148, 138, 158, 56, 50, 27, 0, 315, 278, 258, 209, 277, 203, 160, 87, 136, 101, 62, 25, 0), # 28
(374, 347, 278, 311, 209, 118, 157, 143, 161, 57, 52, 27, 0, 333, 292, 272, 216, 289, 214, 167, 90, 140, 104, 65, 25, 0), # 29
(388, 357, 290, 322, 217, 123, 160, 149, 168, 61, 55, 28, 0, 356, 301, 279, 227, 301, 227, 172, 92, 145, 107, 67, 26, 0), # 30
(399, 379, 307, 336, 225, 129, 163, 151, 173, 65, 58, 28, 0, 374, 314, 293, 234, 315, 231, 181, 95, 153, 109, 69, 27, 0), # 31
(408, 387, 316, 351, 233, 134, 171, 153, 177, 67, 59, 28, 0, 390, 325, 304, 245, 324, 238, 185, 99, 156, 112, 76, 28, 0), # 32
(419, 402, 323, 366, 243, 141, 177, 156, 183, 71, 61, 28, 0, 398, 338, 318, 249, 335, 249, 193, 99, 163, 119, 79, 30, 0), # 33
(435, 413, 335, 390, 256, 148, 180, 162, 187, 73, 66, 32, 0, 415, 350, 327, 260, 347, 253, 201, 104, 168, 127, 83, 32, 0), # 34
(447, 433, 345, 404, 269, 152, 185, 171, 191, 74, 67, 32, 0, 436, 364, 337, 268, 361, 261, 205, 108, 177, 129, 84, 33, 0), # 35
(463, 446, 357, 423, 278, 160, 199, 177, 194, 77, 73, 33, 0, 448, 376, 343, 278, 372, 264, 211, 115, 183, 134, 89, 34, 0), # 36
(478, 461, 368, 436, 294, 162, 206, 182, 198, 80, 74, 36, 0, 459, 394, 352, 289, 382, 275, 215, 117, 188, 137, 91, 35, 0), # 37
(490, 467, 383, 456, 304, 169, 211, 185, 204, 82, 76, 40, 0, 474, 404, 357, 297, 394, 279, 220, 121, 195, 145, 93, 36, 0), # 38
(508, 483, 406, 475, 315, 176, 223, 192, 211, 85, 77, 41, 0, 495, 419, 366, 304, 405, 285, 224, 123, 201, 149, 96, 39, 0), # 39
(522, 494, 416, 491, 331, 179, 230, 197, 215, 89, 79, 42, 0, 513, 426, 377, 314, 412, 291, 230, 124, 205, 157, 98, 43, 0), # 40
(535, 511, 429, 504, 337, 184, 238, 202, 219, 94, 81, 42, 0, 526, 438, 387, 322, 423, 296, 235, 126, 210, 162, 99, 45, 0), # 41
(559, 524, 434, 515, 348, 187, 244, 208, 223, 96, 85, 45, 0, 537, 458, 407, 326, 436, 304, 243, 131, 217, 163, 100, 45, 0), # 42
(570, 537, 442, 526, 359, 194, 250, 215, 228, 100, 87, 47, 0, 557, 465, 414, 333, 447, 310, 248, 132, 224, 169, 104, 45, 0), # 43
(583, 551, 453, 539, 368, 196, 255, 221, 232, 102, 88, 48, 0, 575, 475, 424, 340, 458, 315, 250, 135, 229, 170, 106, 46, 0), # 44
(594, 563, 463, 547, 380, 200, 262, 223, 240, 105, 91, 49, 0, 593, 488, 432, 346, 466, 326, 253, 136, 233, 173, 107, 47, 0), # 45
(609, 574, 474, 561, 388, 205, 263, 229, 244, 107, 93, 51, 0, 605, 503, 440, 358, 478, 336, 259, 141, 235, 177, 111, 49, 0), # 46
(621, 586, 485, 573, 401, 210, 268, 232, 252, 108, 94, 52, 0, 618, 523, 449, 361, 487, 344, 264, 146, 237, 182, 112, 50, 0), # 47
(635, 601, 500, 583, 414, 216, 274, 238, 255, 108, 96, 54, 0, 629, 533, 460, 372, 502, 352, 273, 149, 247, 187, 115, 51, 0), # 48
(652, 614, 513, 595, 424, 220, 276, 246, 261, 112, 96, 54, 0, 642, 542, 470, 375, 515, 360, 280, 150, 255, 190, 117, 52, 0), # 49
(667, 636, 531, 603, 428, 224, 278, 257, 266, 113, 102, 54, 0, 657, 556, 481, 385, 526, 367, 285, 163, 261, 195, 117, 53, 0), # 50
(675, 652, 539, 612, 440, 229, 281, 261, 274, 114, 102, 55, 0, 678, 565, 493, 392, 535, 370, 289, 168, 264, 197, 118, 53, 0), # 51
(689, 670, 551, 623, 452, 233, 289, 265, 278, 118, 104, 56, 0, 688, 578, 511, 403, 546, 378, 291, 173, 268, 202, 119, 57, 0), # 52
(698, 681, 565, 636, 459, 241, 296, 269, 284, 120, 107, 56, 0, 700, 592, 520, 409, 561, 386, 302, 179, 270, 205, 124, 57, 0), # 53
(713, 687, 577, 648, 467, 244, 300, 273, 292, 123, 109, 57, 0, 711, 607, 529, 416, 575, 394, 309, 180, 280, 210, 126, 58, 0), # 54
(731, 701, 588, 668, 484, 247, 305, 277, 296, 123, 112, 57, 0, 720, 621, 540, 420, 585, 402, 317, 182, 285, 211, 128, 59, 0), # 55
(747, 714, 601, 688, 497, 252, 314, 287, 301, 125, 115, 57, 0, 733, 633, 544, 427, 599, 408, 320, 184, 292, 213, 132, 60, 0), # 56
(760, 728, 614, 702, 510, 256, 320, 294, 308, 128, 117, 58, 0, 747, 657, 554, 431, 616, 413, 324, 189, 294, 222, 136, 61, 0), # 57
(775, 743, 622, 712, 522, 261, 323, 299, 316, 129, 120, 60, 0, 761, 673, 563, 438, 625, 418, 329, 194, 298, 226, 137, 62, 0), # 58
(791, 753, 642, 721, 535, 263, 325, 304, 319, 132, 124, 62, 0, 771, 684, 568, 441, 636, 420, 334, 198, 305, 229, 138, 63, 0), # 59
(806, 767, 655, 732, 544, 269, 332, 307, 323, 136, 125, 63, 0, 787, 695, 582, 445, 650, 423, 342, 202, 311, 230, 141, 64, 0), # 60
(824, 778, 672, 743, 549, 274, 337, 310, 328, 136, 127, 65, 0, 802, 700, 594, 455, 657, 433, 352, 207, 315, 238, 143, 64, 0), # 61
(840, 797, 684, 756, 563, 275, 343, 315, 334, 137, 128, 66, 0, 820, 706, 602, 466, 660, 439, 357, 210, 322, 243, 144, 64, 0), # 62
(850, 810, 707, 770, 571, 279, 351, 317, 339, 142, 130, 66, 0, 836, 718, 609, 475, 671, 445, 365, 216, 328, 249, 146, 64, 0), # 63
(865, 825, 721, 786, 580, 285, 354, 319, 343, 146, 130, 66, 0, 853, 728, 620, 486, 681, 450, 368, 218, 335, 253, 146, 65, 0), # 64
(887, 835, 736, 795, 591, 289, 358, 325, 350, 148, 130, 66, 0, 868, 739, 625, 497, 689, 459, 371, 227, 343, 255, 147, 66, 0), # 65
(898, 859, 747, 810, 599, 292, 366, 327, 353, 152, 132, 70, 0, 884, 750, 633, 506, 701, 462, 376, 233, 350, 259, 147, 67, 0), # 66
(909, 870, 757, 819, 608, 295, 370, 329, 357, 154, 136, 74, 0, 898, 758, 642, 513, 715, 465, 380, 236, 356, 264, 155, 68, 0), # 67
(927, 885, 765, 828, 614, 302, 379, 331, 359, 155, 140, 75, 0, 908, 770, 651, 524, 729, 467, 386, 238, 362, 268, 157, 69, 0), # 68
(945, 895, 778, 832, 619, 310, 383, 338, 359, 155, 140, 76, 0, 918, 779, 660, 529, 737, 473, 389, 243, 371, 274, 160, 70, 0), # 69
(964, 911, 792, 842, 624, 317, 388, 342, 367, 159, 141, 77, 0, 933, 790, 666, 534, 747, 480, 392, 245, 379, 278, 160, 71, 0), # 70
(976, 927, 809, 857, 635, 319, 398, 345, 369, 160, 142, 77, 0, 941, 805, 677, 543, 754, 485, 396, 246, 385, 280, 162, 73, 0), # 71
(997, 941, 823, 867, 643, 323, 404, 350, 375, 161, 143, 78, 0, 953, 816, 693, 552, 762, 492, 399, 248, 390, 283, 163, 73, 0), # 72
(1011, 946, 838, 876, 652, 327, 409, 354, 380, 162, 144, 79, 0, 971, 829, 700, 562, 777, 499, 403, 252, 394, 286, 167, 74, 0), # 73
(1021, 958, 853, 882, 659, 337, 415, 359, 386, 164, 146, 83, 0, 992, 841, 708, 572, 785, 504, 408, 256, 400, 290, 170, 76, 0), # 74
(1040, 972, 861, 894, 672, 341, 420, 363, 391, 167, 147, 85, 0, 1003, 858, 721, 582, 797, 507, 416, 259, 407, 296, 172, 76, 0), # 75
(1051, 987, 872, 900, 689, 344, 426, 369, 397, 170, 149, 85, 0, 1017, 870, 728, 585, 805, 512, 418, 263, 409, 301, 174, 76, 0), # 76
(1065, 993, 885, 919, 704, 352, 429, 372, 399, 172, 149, 85, 0, 1033, 881, 734, 596, 815, 515, 420, 266, 413, 307, 178, 76, 0), # 77
(1078, 1003, 897, 935, 712, 356, 433, 376, 406, 172, 151, 85, 0, 1046, 890, 746, 604, 828, 520, 424, 269, 424, 312, 179, 78, 0), # 78
(1087, 1015, 916, 947, 721, 359, 440, 382, 414, 174, 156, 85, 0, 1060, 901, 752, 608, 836, 526, 431, 274, 429, 319, 181, 79, 0), # 79
(1096, 1025, 927, 960, 729, 363, 443, 386, 424, 178, 157, 86, 0, 1072, 913, 759, 615, 847, 531, 435, 274, 438, 321, 182, 83, 0), # 80
(1108, 1036, 939, 970, 735, 367, 450, 388, 433, 180, 158, 86, 0, 1085, 923, 775, 618, 856, 538, 446, 277, 442, 326, 184, 86, 0), # 81
(1122, 1045, 951, 981, 744, 370, 456, 391, 437, 183, 158, 86, 0, 1104, 935, 785, 622, 865, 544, 449, 279, 451, 328, 187, 87, 0), # 82
(1142, 1053, 962, 990, 750, 378, 458, 398, 444, 184, 161, 88, 0, 1117, 949, 794, 630, 883, 551, 456, 282, 455, 332, 192, 87, 0), # 83
(1155, 1065, 975, 1002, 762, 379, 464, 402, 448, 186, 161, 88, 0, 1129, 962, 800, 640, 892, 561, 463, 284, 459, 338, 194, 87, 0), # 84
(1166, 1081, 989, 1005, 768, 380, 469, 405, 452, 189, 161, 88, 0, 1145, 975, 812, 647, 901, 566, 469, 288, 465, 340, 197, 88, 0), # 85
(1181, 1094, 1001, 1011, 776, 388, 477, 407, 457, 190, 164, 90, 0, 1158, 992, 821, 655, 916, 567, 472, 294, 472, 343, 201, 91, 0), # 86
(1197, 1107, 1019, 1024, 786, 395, 481, 410, 461, 193, 165, 91, 0, 1170, 1002, 832, 664, 922, 571, 476, 300, 476, 344, 203, 92, 0), # 87
(1208, 1113, 1028, 1041, 793, 400, 484, 414, 465, 195, 166, 93, 0, 1186, 1014, 835, 670, 938, 574, 483, 306, 480, 349, 206, 92, 0), # 88
(1229, 1128, 1034, 1055, 801, 402, 492, 415, 468, 198, 169, 93, 0, 1202, 1025, 845, 675, 942, 579, 490, 310, 484, 356, 210, 92, 0), # 89
(1248, 1142, 1045, 1073, 811, 407, 497, 420, 470, 201, 171, 94, 0, 1215, 1035, 857, 678, 953, 585, 498, 312, 489, 361, 214, 95, 0), # 90
(1259, 1156, 1062, 1085, 817, 414, 501, 425, 476, 202, 172, 94, 0, 1225, 1046, 866, 681, 965, 589, 505, 312, 492, 366, 216, 97, 0), # 91
(1275, 1170, 1065, 1101, 833, 418, 502, 426, 479, 204, 176, 94, 0, 1245, 1056, 871, 684, 984, 597, 512, 317, 499, 369, 218, 101, 0), # 92
(1287, 1182, 1080, 1111, 847, 423, 508, 430, 482, 205, 179, 96, 0, 1255, 1064, 879, 688, 1003, 606, 517, 317, 506, 372, 222, 101, 0), # 93
(1301, 1196, 1094, 1126, 857, 429, 514, 433, 492, 212, 181, 97, 0, 1262, 1077, 886, 693, 1008, 609, 522, 321, 515, 375, 223, 102, 0), # 94
(1323, 1208, 1103, 1138, 868, 432, 515, 436, 496, 213, 181, 99, 0, 1280, 1086, 891, 697, 1017, 613, 529, 323, 526, 383, 223, 102, 0), # 95
(1338, 1220, 1112, 1154, 876, 438, 517, 439, 503, 213, 182, 99, 0, 1301, 1095, 899, 703, 1030, 618, 535, 329, 528, 385, 224, 102, 0), # 96
(1348, 1227, 1128, 1167, 888, 441, 524, 442, 508, 214, 182, 100, 0, 1321, 1106, 911, 710, 1041, 625, 542, 337, 540, 390, 226, 104, 0), # 97
(1358, 1239, 1136, 1178, 901, 447, 528, 445, 513, 216, 184, 101, 0, 1333, 1122, 926, 718, 1053, 633, 545, 340, 543, 395, 228, 105, 0), # 98
(1373, 1252, 1149, 1192, 909, 453, 530, 450, 522, 218, 186, 102, 0, 1348, 1131, 939, 722, 1060, 640, 555, 341, 547, 398, 231, 106, 0), # 99
(1386, 1261, 1161, 1203, 916, 461, 535, 452, 531, 219, 188, 102, 0, 1363, 1141, 944, 726, 1076, 645, 559, 345, 552, 400, 234, 107, 0), # 100
(1399, 1271, 1169, 1213, 923, 464, 541, 459, 535, 222, 191, 102, 0, 1377, 1153, 948, 735, 1089, 647, 567, 349, 560, 407, 238, 109, 0), # 101
(1415, 1285, 1180, 1220, 927, 471, 545, 460, 539, 222, 196, 102, 0, 1385, 1163, 958, 739, 1099, 652, 572, 353, 569, 413, 240, 111, 0), # 102
(1432, 1304, 1196, 1237, 935, 479, 552, 464, 543, 225, 196, 102, 0, 1396, 1175, 971, 745, 1105, 658, 574, 356, 576, 416, 241, 111, 0), # 103
(1445, 1309, 1208, 1255, 944, 487, 555, 470, 548, 226, 198, 102, 0, 1407, 1186, 981, 747, 1114, 664, 577, 361, 580, 420, 244, 113, 0), # 104
(1460, 1320, 1218, 1264, 957, 493, 558, 475, 556, 227, 202, 103, 0, 1420, 1196, 990, 755, 1122, 670, 582, 364, 587, 427, 244, 113, 0), # 105
(1473, 1329, 1228, 1271, 961, 495, 562, 483, 561, 230, 202, 105, 0, 1431, 1201, 997, 762, 1138, 673, 586, 368, 590, 432, 248, 113, 0), # 106
(1483, 1340, 1233, 1284, 975, 499, 568, 486, 568, 231, 203, 105, 0, 1440, 1210, 1010, 764, 1146, 678, 591, 371, 594, 438, 249, 113, 0), # 107
(1497, 1356, 1244, 1295, 987, 502, 570, 490, 573, 235, 205, 105, 0, 1455, 1217, 1018, 767, 1157, 679, 593, 377, 600, 442, 252, 113, 0), # 108
(1513, 1374, 1247, 1305, 999, 508, 574, 496, 580, 236, 208, 107, 0, 1471, 1228, 1031, 770, 1167, 687, 598, 382, 606, 450, 253, 116, 0), # 109
(1532, 1386, 1254, 1315, 1006, 510, 583, 499, 584, 238, 209, 107, 0, 1488, 1240, 1034, 774, 1179, 692, 602, 387, 609, 453, 255, 116, 0), # 110
(1550, 1398, 1268, 1323, 1016, 515, 587, 503, 589, 241, 212, 107, 0, 1501, 1251, 1040, 777, 1186, 700, 604, 390, 617, 460, 256, 116, 0), # 111
(1567, 1407, 1280, 1341, 1025, 520, 592, 507, 589, 244, 213, 108, 0, 1510, 1263, 1052, 786, 1198, 705, 607, 395, 621, 467, 258, 116, 0), # 112
(1587, 1414, 1294, 1358, 1038, 524, 597, 509, 591, 248, 217, 110, 0, 1526, 1275, 1059, 794, 1211, 709, 614, 398, 629, 475, 259, 118, 0), # 113
(1599, 1420, 1304, 1372, 1049, 527, 601, 515, 594, 251, 219, 111, 0, 1535, 1281, 1071, 799, 1218, 714, 617, 401, 633, 480, 261, 122, 0), # 114
(1613, 1432, 1315, 1380, 1060, 531, 603, 518, 599, 253, 220, 112, 0, 1548, 1291, 1081, 807, 1233, 721, 625, 406, 639, 483, 261, 122, 0), # 115
(1627, 1440, 1321, 1393, 1074, 537, 607, 521, 601, 255, 220, 112, 0, 1559, 1302, 1087, 813, 1247, 722, 629, 412, 649, 483, 261, 124, 0), # 116
(1646, 1447, 1329, 1404, 1084, 541, 614, 523, 608, 258, 222, 114, 0, 1584, 1315, 1093, 816, 1261, 725, 633, 415, 655, 485, 261, 125, 0), # 117
(1661, 1457, 1344, 1419, 1094, 542, 618, 524, 611, 260, 222, 115, 0, 1599, 1328, 1104, 822, 1268, 729, 635, 421, 662, 494, 262, 125, 0), # 118
(1672, 1467, 1351, 1428, 1107, 547, 620, 527, 613, 267, 223, 115, 0, 1612, 1338, 1111, 829, 1276, 732, 636, 424, 671, 497, 262, 125, 0), # 119
(1681, 1480, 1367, 1440, 1118, 552, 624, 529, 619, 268, 224, 115, 0, 1622, 1349, 1117, 832, 1283, 735, 646, 430, 676, 500, 262, 126, 0), # 120
(1691, 1491, 1380, 1452, 1130, 557, 629, 535, 625, 270, 226, 117, 0, 1635, 1360, 1122, 838, 1296, 742, 654, 435, 679, 501, 265, 126, 0), # 121
(1704, 1501, 1387, 1464, 1140, 560, 632, 541, 629, 275, 229, 118, 0, 1644, 1374, 1130, 844, 1305, 745, 660, 437, 686, 510, 267, 126, 0), # 122
(1716, 1510, 1394, 1480, 1143, 563, 633, 544, 634, 275, 232, 119, 0, 1660, 1385, 1135, 849, 1315, 751, 666, 438, 689, 513, 268, 128, 0), # 123
(1728, 1520, 1414, 1490, 1153, 571, 635, 551, 635, 277, 235, 120, 0, 1671, 1399, 1141, 852, 1327, 752, 671, 443, 697, 517, 268, 129, 0), # 124
(1741, 1530, 1419, 1493, 1164, 571, 639, 553, 638, 280, 236, 121, 0, 1688, 1411, 1151, 860, 1332, 755, 674, 447, 704, 522, 268, 131, 0), # 125
(1751, 1539, 1429, 1503, 1170, 575, 642, 556, 643, 281, 236, 122, 0, 1703, 1421, 1160, 866, 1347, 763, 678, 451, 705, 526, 271, 132, 0), # 126
(1759, 1548, 1434, 1512, 1177, 579, 644, 561, 647, 283, 236, 124, 0, 1717, 1425, 1165, 874, 1358, 767, 687, 460, 711, 531, 274, 135, 0), # 127
(1769, 1560, 1439, 1523, 1191, 585, 647, 564, 654, 287, 237, 125, 0, 1728, 1442, 1174, 887, 1363, 768, 689, 464, 716, 533, 274, 135, 0), # 128
(1788, 1566, 1450, 1530, 1208, 587, 655, 571, 661, 292, 237, 126, 0, 1744, 1453, 1183, 893, 1375, 774, 690, 465, 722, 535, 276, 135, 0), # 129
(1798, 1575, 1459, 1547, 1216, 589, 658, 571, 664, 294, 237, 127, 0, 1755, 1465, 1187, 901, 1388, 778, 693, 471, 722, 541, 280, 135, 0), # 130
(1810, 1582, 1471, 1556, 1223, 591, 665, 575, 672, 297, 240, 128, 0, 1765, 1472, 1196, 910, 1401, 781, 696, 475, 726, 545, 284, 136, 0), # 131
(1824, 1591, 1480, 1569, 1232, 596, 667, 576, 676, 297, 244, 130, 0, 1772, 1485, 1206, 915, 1410, 784, 697, 480, 731, 548, 286, 138, 0), # 132
(1842, 1600, 1490, 1584, 1239, 601, 668, 583, 683, 301, 247, 131, 0, 1781, 1491, 1213, 919, 1422, 787, 705, 483, 734, 554, 287, 138, 0), # 133
(1853, 1610, 1503, 1597, 1245, 606, 672, 588, 689, 302, 247, 132, 0, 1794, 1506, 1214, 928, 1436, 792, 709, 485, 738, 557, 288, 139, 0), # 134
(1863, 1622, 1508, 1608, 1255, 610, 680, 592, 691, 304, 249, 132, 0, 1806, 1518, 1226, 932, 1447, 795, 710, 488, 744, 560, 292, 139, 0), # 135
(1875, 1629, 1518, 1621, 1264, 613, 683, 598, 694, 305, 250, 133, 0, 1821, 1530, 1229, 941, 1463, 799, 715, 489, 748, 561, 292, 139, 0), # 136
(1887, 1632, 1530, 1628, 1273, 619, 685, 601, 702, 305, 254, 133, 0, 1832, 1539, 1241, 947, 1472, 802, 719, 495, 751, 563, 296, 140, 0), # 137
(1898, 1641, 1538, 1638, 1288, 625, 685, 601, 707, 308, 255, 133, 0, 1846, 1548, 1249, 950, 1479, 807, 724, 496, 754, 565, 298, 141, 0), # 138
(1910, 1654, 1552, 1646, 1300, 626, 691, 605, 716, 311, 256, 133, 0, 1861, 1558, 1257, 954, 1495, 814, 730, 496, 755, 567, 301, 141, 0), # 139
(1925, 1667, 1564, 1659, 1318, 627, 696, 606, 722, 313, 257, 133, 0, 1868, 1567, 1261, 963, 1501, 823, 737, 499, 758, 574, 302, 143, 0), # 140
(1930, 1675, 1576, 1668, 1334, 632, 701, 610, 726, 316, 258, 133, 0, 1880, 1572, 1271, 965, 1505, 827, 742, 505, 759, 576, 304, 143, 0), # 141
(1943, 1686, 1587, 1678, 1350, 635, 704, 611, 732, 318, 260, 133, 0, 1890, 1582, 1275, 968, 1512, 829, 745, 509, 764, 583, 306, 143, 0), # 142
(1950, 1694, 1592, 1696, 1358, 642, 708, 614, 733, 321, 264, 135, 0, 1911, 1594, 1281, 973, 1522, 832, 750, 511, 770, 587, 308, 146, 0), # 143
(1959, 1701, 1601, 1706, 1366, 649, 710, 618, 736, 323, 265, 135, 0, 1921, 1605, 1285, 977, 1533, 834, 752, 512, 779, 591, 313, 148, 0), # 144
(1968, 1705, 1607, 1714, 1379, 652, 713, 619, 745, 325, 270, 135, 0, 1933, 1615, 1292, 984, 1546, 845, 755, 514, 786, 594, 314, 149, 0), # 145
(1979, 1717, 1623, 1723, 1389, 654, 717, 624, 750, 329, 273, 138, 0, 1942, 1624, 1299, 989, 1558, 847, 756, 518, 788, 596, 314, 149, 0), # 146
(1988, 1727, 1630, 1734, 1398, 660, 724, 628, 754, 333, 278, 141, 0, 1960, 1630, 1305, 993, 1567, 851, 758, 520, 794, 600, 316, 150, 0), # 147
(2004, 1733, 1645, 1745, 1409, 663, 727, 632, 760, 336, 280, 142, 0, 1972, 1639, 1312, 999, 1582, 857, 762, 523, 799, 602, 318, 151, 0), # 148
(2013, 1738, 1658, 1754, 1415, 667, 728, 635, 765, 339, 283, 143, 0, 1982, 1647, 1326, 1003, 1589, 863, 764, 528, 804, 606, 319, 152, 0), # 149
(2027, 1747, 1671, 1767, 1423, 671, 735, 640, 768, 342, 283, 144, 0, 1988, 1657, 1329, 1008, 1599, 868, 766, 529, 807, 610, 321, 153, 0), # 150
(2038, 1757, 1686, 1776, 1430, 677, 740, 643, 775, 343, 286, 146, 0, 1995, 1665, 1338, 1010, 1606, 873, 769, 532, 808, 613, 324, 154, 0), # 151
(2046, 1773, 1693, 1788, 1440, 681, 744, 648, 777, 345, 286, 146, 0, 2008, 1671, 1350, 1012, 1617, 876, 774, 535, 811, 615, 325, 155, 0), # 152
(2061, 1780, 1704, 1796, 1450, 683, 745, 648, 781, 347, 287, 147, 0, 2022, 1678, 1362, 1019, 1626, 879, 778, 537, 815, 617, 325, 156, 0), # 153
(2079, 1789, 1719, 1809, 1457, 688, 749, 652, 784, 350, 288, 147, 0, 2034, 1689, 1370, 1028, 1639, 887, 784, 538, 818, 617, 330, 158, 0), # 154
(2089, 1791, 1731, 1820, 1468, 693, 753, 654, 789, 351, 288, 147, 0, 2043, 1694, 1383, 1031, 1644, 890, 788, 539, 827, 620, 332, 158, 0), # 155
(2105, 1798, 1740, 1829, 1475, 699, 758, 656, 794, 352, 290, 147, 0, 2061, 1706, 1386, 1033, 1653, 893, 791, 543, 833, 622, 335, 159, 0), # 156
(2112, 1803, 1748, 1838, 1483, 706, 763, 660, 801, 354, 290, 147, 0, 2076, 1717, 1390, 1035, 1665, 897, 794, 547, 838, 625, 338, 160, 0), # 157
(2127, 1809, 1757, 1851, 1492, 714, 763, 662, 804, 358, 290, 149, 0, 2091, 1725, 1395, 1044, 1675, 903, 799, 550, 840, 627, 339, 161, 0), # 158
(2139, 1814, 1767, 1861, 1503, 719, 765, 667, 807, 360, 290, 151, 0, 2101, 1730, 1399, 1047, 1685, 907, 800, 552, 844, 629, 342, 162, 0), # 159
(2145, 1826, 1777, 1863, 1509, 723, 765, 671, 812, 360, 290, 153, 0, 2114, 1735, 1409, 1053, 1692, 914, 803, 553, 851, 630, 344, 163, 0), # 160
(2155, 1832, 1786, 1877, 1517, 723, 770, 672, 814, 361, 293, 155, 0, 2128, 1745, 1414, 1062, 1699, 917, 805, 555, 855, 631, 344, 163, 0), # 161
(2164, 1843, 1798, 1879, 1525, 724, 772, 677, 816, 364, 296, 155, 0, 2140, 1752, 1421, 1064, 1711, 920, 810, 560, 861, 637, 345, 165, 0), # 162
(2173, 1849, 1810, 1891, 1533, 726, 777, 679, 821, 367, 296, 157, 0, 2148, 1758, 1422, 1066, 1719, 925, 816, 560, 865, 640, 345, 165, 0), # 163
(2181, 1857, 1819, 1900, 1543, 731, 781, 682, 827, 369, 296, 157, 0, 2157, 1767, 1429, 1071, 1726, 927, 819, 562, 869, 641, 346, 166, 0), # 164
(2186, 1864, 1829, 1905, 1550, 737, 784, 684, 829, 369, 299, 159, 0, 2172, 1775, 1433, 1077, 1733, 931, 823, 566, 870, 644, 346, 166, 0), # 165
(2189, 1871, 1834, 1914, 1557, 740, 788, 688, 833, 371, 302, 160, 0, 2178, 1784, 1439, 1080, 1739, 935, 826, 570, 872, 646, 348, 166, 0), # 166
(2198, 1876, 1843, 1922, 1568, 743, 790, 689, 836, 372, 303, 162, 0, 2188, 1793, 1443, 1086, 1748, 941, 826, 572, 875, 648, 349, 167, 0), # 167
(2202, 1879, 1854, 1932, 1576, 749, 793, 691, 839, 375, 303, 163, 0, 2194, 1801, 1447, 1088, 1759, 943, 829, 574, 879, 651, 351, 168, 0), # 168
(2211, 1880, 1859, 1936, 1583, 753, 796, 692, 842, 376, 304, 164, 0, 2204, 1806, 1450, 1090, 1770, 946, 832, 576, 882, 654, 351, 169, 0), # 169
(2218, 1885, 1864, 1941, 1588, 757, 796, 696, 842, 376, 306, 168, 0, 2213, 1815, 1455, 1093, 1778, 947, 832, 580, 883, 656, 352, 169, 0), # 170
(2226, 1889, 1875, 1947, 1593, 760, 798, 698, 846, 379, 308, 168, 0, 2221, 1825, 1460, 1095, 1786, 950, 834, 581, 886, 658, 353, 169, 0), # 171
(2233, 1892, 1886, 1951, 1600, 761, 799, 703, 851, 380, 309, 168, 0, 2231, 1834, 1467, 1097, 1798, 951, 835, 583, 889, 660, 353, 169, 0), # 172
(2241, 1894, 1898, 1961, 1604, 763, 803, 708, 854, 380, 311, 168, 0, 2239, 1838, 1473, 1098, 1809, 953, 838, 584, 890, 663, 355, 172, 0), # 173
(2245, 1898, 1904, 1965, 1608, 763, 805, 712, 855, 381, 311, 169, 0, 2242, 1845, 1478, 1100, 1818, 959, 839, 584, 890, 664, 356, 173, 0), # 174
(2252, 1901, 1905, 1971, 1614, 764, 806, 716, 859, 383, 313, 169, 0, 2248, 1855, 1482, 1106, 1824, 961, 840, 585, 891, 668, 357, 174, 0), # 175
(2256, 1909, 1909, 1978, 1618, 767, 807, 720, 868, 385, 314, 169, 0, 2254, 1856, 1486, 1109, 1830, 963, 841, 585, 892, 671, 357, 174, 0), # 176
(2262, 1914, 1913, 1986, 1623, 772, 809, 722, 872, 385, 315, 169, 0, 2258, 1863, 1487, 1112, 1833, 965, 844, 586, 893, 673, 359, 175, 0), # 177
(2269, 1919, 1919, 1991, 1628, 774, 810, 723, 875, 385, 315, 169, 0, 2265, 1868, 1490, 1113, 1836, 967, 845, 588, 898, 674, 361, 175, 0), # 178
(2269, 1919, 1919, 1991, 1628, 774, 810, 723, 875, 385, 315, 169, 0, 2265, 1868, 1490, 1113, 1836, 967, 845, 588, 898, 674, 361, 175, 0), # 179
)
passenger_arriving_rate = (
(7.029211809720476, 7.090786984939564, 6.079830434547925, 6.525401162556605, 5.184373233768971, 2.563234861163827, 2.9022249307617405, 2.7143527675713304, 2.8420462290117365, 1.3853052554328298, 0.9812285382399741, 0.571423425802387, 0.0, 7.117432297609708, 6.285657683826256, 4.90614269119987, 4.155915766298489, 5.684092458023473, 3.8000938745998627, 2.9022249307617405, 1.8308820436884476, 2.5921866168844856, 2.175133720852202, 1.2159660869095852, 0.6446169986308695, 0.0), # 0
(7.496058012827964, 7.558911224152441, 6.4812376898851785, 6.956401465940448, 5.527657648309288, 2.7325532603014207, 3.093628258884586, 2.893049671694997, 3.0297144856220246, 1.4766432422970026, 1.0460557650564308, 0.6091419437616749, 0.0, 7.587708306415797, 6.700561381378422, 5.230278825282154, 4.429929726891007, 6.059428971244049, 4.050269540372995, 3.093628258884586, 1.9518237573581576, 2.763828824154644, 2.3188004886468163, 1.2962475379770357, 0.687173747650222, 0.0), # 1
(7.9614122125716245, 8.025177635976757, 6.881049333138649, 7.385687089898034, 5.869698775499761, 2.9011961768518306, 3.284272955572493, 3.071031394610912, 3.2166338432095234, 1.5676198212571917, 1.1106254013811399, 0.6467104760728565, 0.0, 8.056110759493567, 7.113815236801421, 5.553127006905699, 4.702859463771574, 6.433267686419047, 4.2994439524552766, 3.284272955572493, 2.0722829834655934, 2.9348493877498805, 2.4618956966326784, 1.37620986662773, 0.7295616032706144, 0.0), # 2
(8.423460910405188, 8.487736310818441, 7.277679347539831, 7.811555227908678, 6.209150897601775, 3.0684948417778424, 3.473402549153569, 3.2475923418717962, 3.4020630750965104, 1.657873944449164, 1.1746812960930562, 0.6839799965752206, 0.0, 8.520781928755916, 7.523779962327425, 5.873406480465281, 4.97362183334749, 6.804126150193021, 4.5466292786205145, 3.473402549153569, 2.191782029841316, 3.1045754488008876, 2.6038517426362264, 1.455535869507966, 0.7716123918925856, 0.0), # 3
(8.880390607782374, 8.94473733908341, 7.669541716320211, 8.232303073451698, 6.5446682968767265, 3.233780486042246, 3.6602605679559215, 3.4220269190303676, 3.585260954605263, 1.7470445640086882, 1.2379672980711345, 0.7208014791080559, 0.0, 8.979864086115745, 7.928816270188614, 6.189836490355671, 5.241133692026064, 7.170521909210526, 4.790837686642515, 3.6602605679559215, 2.30984320431589, 3.2723341484383632, 2.7441010244839, 1.5339083432640421, 0.8131579399166738, 0.0), # 4
(9.330387806156915, 9.394330811177607, 8.055050422711272, 8.646227820006413, 6.874905255585995, 3.396384340607826, 3.844090540307657, 3.593629531639346, 3.765486255058061, 1.8347706320715327, 1.300227256194331, 0.7570258975106506, 0.0, 9.43149950348596, 8.327284872617156, 6.501136280971655, 5.504311896214597, 7.530972510116122, 5.031081344295084, 3.844090540307657, 2.4259888147198754, 3.4374526277929975, 2.8820759400021383, 1.6110100845422546, 0.8540300737434189, 0.0), # 5
(9.771639006982534, 9.834666817506942, 8.43261944994451, 9.051626661052135, 7.198516055990973, 3.5556376364373725, 4.024135994536884, 3.7616945852514516, 3.9419977497771805, 1.920691100773466, 1.3612050193415997, 0.7925042256222944, 0.0, 9.87383045277945, 8.717546481845236, 6.806025096707997, 5.762073302320396, 7.883995499554361, 5.266372419352033, 4.024135994536884, 2.5397411688838374, 3.5992580279954867, 3.017208887017379, 1.6865238899889023, 0.8940606197733586, 0.0), # 6
(10.202330711712957, 10.263895448477353, 8.800662781251408, 9.446796790068186, 7.514154980353052, 3.710871604493673, 4.19964045897171, 3.9255164854194056, 4.1140542120849, 2.004444922250256, 1.4206444363918964, 0.8270874372822752, 0.0, 10.304999205909127, 9.097961810105026, 7.103222181959481, 6.013334766750766, 8.2281084241698, 5.495723079587168, 4.19964045897171, 2.6506225746383376, 3.757077490176526, 3.148932263356063, 1.7601325562502819, 0.9330814044070321, 0.0), # 7
(10.62064942180191, 10.68016679449476, 9.157594399863463, 9.830035400533875, 7.820476310933614, 3.8614174757395103, 4.369847461940239, 4.0843896376959234, 4.280914415303496, 2.0856710486376717, 1.4782893562241752, 0.8606265063298821, 0.0, 10.723148034787885, 9.466891569628702, 7.391446781120876, 6.257013145913014, 8.561828830606991, 5.718145492774292, 4.369847461940239, 2.758155339813936, 3.910238155466807, 3.276678466844626, 1.831518879972693, 0.9709242540449783, 0.0), # 8
(11.02478163870312, 11.081630945965095, 9.501828289012156, 10.199639685928528, 8.116134329994049, 4.006606481137679, 4.534000531770584, 4.237608447633729, 4.441837132755248, 2.1640084320714803, 1.5338836277173917, 0.8929724066044035, 0.0, 11.126419211328628, 9.822696472648436, 7.669418138586958, 6.49202529621444, 8.883674265510496, 5.932651826687221, 4.534000531770584, 2.861861772241199, 4.058067164997024, 3.3998798953095104, 1.9003656578024313, 1.0074209950877362, 0.0), # 9
(11.412913863870306, 11.46643799329428, 9.83177843192898, 10.553906839731454, 8.399783319795748, 4.145769851650964, 4.691343196790848, 4.38446732078554, 4.596081137762433, 2.2390960246874507, 1.5871710997505006, 0.923976111945128, 0.0, 11.512955007444255, 10.163737231396405, 7.935855498752503, 6.717288074062351, 9.192162275524867, 6.138254249099756, 4.691343196790848, 2.961264179750688, 4.199891659897874, 3.517968946577152, 1.9663556863857963, 1.0424034539358438, 0.0), # 10
(11.783232598757209, 11.832738026888249, 10.145858811845418, 10.891134055421968, 8.670077562600099, 4.278238818242151, 4.841118985329142, 4.524260662704076, 4.7429052036473305, 2.3105727786213524, 1.6378956212024585, 0.9534885961913449, 0.0, 11.880897695047656, 10.488374558104791, 8.189478106012292, 6.931718335864056, 9.485810407294661, 6.333964927785706, 4.841118985329142, 3.055884870172965, 4.3350387813000495, 3.63037801847399, 2.0291717623690837, 1.075703456989841, 0.0), # 11
(12.133924344817538, 12.178681137152912, 10.442483411992965, 11.209618526479394, 8.925671340668487, 4.403344611874027, 4.9825714257135685, 4.656282878942054, 4.881568103732217, 2.378077646008951, 1.6858010409522184, 0.9813608331823415, 0.0, 12.22838954605175, 10.794969165005755, 8.429005204761092, 7.134232938026852, 9.763136207464434, 6.518796030518876, 4.9825714257135685, 3.1452461513385908, 4.462835670334243, 3.7365395088264655, 2.0884966823985933, 1.107152830650265, 0.0), # 12
(12.463175603505027, 12.502417414494213, 10.720066215603106, 11.507657446383048, 9.165218936262296, 4.520418463509383, 5.11494404627224, 4.779828375052198, 5.011328611339368, 2.441249578986017, 1.7306312078787365, 1.0074437967574077, 0.0, 12.55357283236943, 11.08188176433148, 8.653156039393682, 7.323748736958049, 10.022657222678736, 6.691759725073078, 5.11494404627224, 3.228870331078131, 4.582609468131148, 3.8358858154610167, 2.1440132431206216, 1.136583401317656, 0.0), # 13
(12.769172876273403, 12.802096949318072, 10.977021205907338, 11.783548008612232, 9.387374631642924, 4.6287916041110035, 5.237480375333263, 4.894191556587227, 5.131445499791063, 2.4997275296883177, 1.7721299708609668, 1.0315884607558323, 0.0, 12.85458982591359, 11.347473068314153, 8.860649854304834, 7.499182589064952, 10.262890999582126, 6.8518681792221185, 5.237480375333263, 3.306279717222145, 4.693687315821462, 3.9278493362040785, 2.195404241181468, 1.1638269953925522, 0.0), # 14
(13.050102664576398, 13.075869832030413, 11.211762366137135, 12.035587406646286, 9.590792709071755, 4.72779526464168, 5.349423941224739, 4.998666829099858, 5.241177542409583, 2.5531504502516222, 1.810041178777865, 1.0536457990169035, 0.0, 13.129582798597134, 11.590103789185937, 9.050205893889325, 7.659451350754866, 10.482355084819165, 6.998133560739801, 5.349423941224739, 3.3769966176011996, 4.795396354535877, 4.0118624688820965, 2.242352473227427, 1.1887154392754924, 0.0), # 15
(13.30415146986772, 13.321886153037171, 11.422703679523998, 12.262072833964503, 9.774127450810177, 4.816760676064193, 5.450018272274784, 5.092548598142811, 5.339783512517201, 2.6011572928116995, 1.8441086805083868, 1.0734667853799098, 0.0, 13.376694022332964, 11.808134639179006, 9.220543402541933, 7.803471878435097, 10.679567025034402, 7.1295680373999355, 5.450018272274784, 3.440543340045852, 4.887063725405088, 4.087357611321502, 2.2845407359047996, 1.2110805593670158, 0.0), # 16
(13.529505793601107, 13.538296002744264, 11.608259129299412, 12.46130148404622, 9.936033139119584, 4.895019069341334, 5.538506896811498, 5.17513126926881, 5.426522183436193, 2.643387009504314, 1.874076324931487, 1.09090239368414, 0.0, 13.594065769033982, 11.999926330525538, 9.370381624657433, 7.9301610285129405, 10.853044366872385, 7.245183776976335, 5.538506896811498, 3.496442192386667, 4.968016569559792, 4.153767161348741, 2.3216518258598824, 1.2307541820676606, 0.0), # 17
(13.724352137230287, 13.723249471557619, 11.766842698694862, 12.631570550370744, 10.07516405626135, 4.961901675435895, 5.6141333431629965, 5.245709248030569, 5.500652328488845, 2.6794785524652385, 1.8996879609261188, 1.1058035977688838, 0.0, 13.779840310613086, 12.163839575457718, 9.498439804630594, 8.038435657395715, 11.00130465697769, 7.343992947242797, 5.6141333431629965, 3.5442154824542103, 5.037582028130675, 4.210523516790249, 2.3533685397389728, 1.2475681337779656, 0.0), # 18
(13.88687700220898, 13.874896649883173, 11.896868370941842, 12.77117722641738, 10.190174484496875, 5.0167397253106545, 5.676141139657377, 5.30357693998081, 5.561432720997431, 2.7090708738302403, 1.9206874373712384, 1.1180213714734282, 0.0, 13.932159918983176, 12.298235086207708, 9.603437186856192, 8.12721262149072, 11.122865441994861, 7.425007715973134, 5.676141139657377, 3.5833855180790386, 5.095087242248438, 4.257059075472461, 2.379373674188369, 1.2613542408984704, 0.0), # 19
(14.015266889990915, 13.991387628126835, 11.996750129271838, 12.87841870566547, 10.279718706087547, 5.058864449928407, 5.723773814622755, 5.348028750672253, 5.608122134284226, 2.731802925735086, 1.936818603145802, 1.1274066886370624, 0.0, 14.049166866057154, 12.401473575007685, 9.68409301572901, 8.195408777205257, 11.216244268568452, 7.487240250941153, 5.723773814622755, 3.6134746070917196, 5.139859353043773, 4.292806235221825, 2.399350025854368, 1.2719443298297126, 0.0), # 20
(14.107708302029813, 14.070872496694552, 12.064901956916339, 12.951592181594311, 10.34245100329475, 5.087607080251938, 5.756274896387231, 5.378359085657614, 5.63997934167151, 2.747313660315545, 1.9478253071287643, 1.133810523099076, 0.0, 14.12900342374791, 12.471915754089835, 9.739126535643821, 8.241940980946634, 11.27995868334302, 7.529702719920659, 5.756274896387231, 3.634005057322813, 5.171225501647375, 4.317197393864771, 2.412980391383268, 1.279170226972232, 0.0), # 21
(14.162387739779412, 14.111501345992236, 12.099737837106835, 12.988994847683228, 10.377025658379871, 5.102298847244033, 5.77288791327892, 5.393862350489618, 5.656263116481561, 2.7552420297073854, 1.9534513981990798, 1.1370838486987573, 0.0, 14.16981186396836, 12.50792233568633, 9.7672569909954, 8.265726089122154, 11.312526232963123, 7.551407290685465, 5.77288791327892, 3.644499176602881, 5.188512829189936, 4.329664949227744, 2.419947567421367, 1.282863758726567, 0.0), # 22
(14.182550708679697, 14.116311945587563, 12.104077046181986, 12.993677353395064, 10.385883252297091, 5.104166666666667, 5.774862801581538, 5.395538065843622, 5.658298909465021, 2.7561772953818022, 1.9541568753377396, 1.1374880506020426, 0.0, 14.175, 12.512368556622466, 9.770784376688697, 8.268531886145405, 11.316597818930042, 7.553753292181072, 5.774862801581538, 3.6458333333333335, 5.192941626148546, 4.331225784465023, 2.4208154092363974, 1.283301085962506, 0.0), # 23
(14.197417378247815, 14.113505864197531, 12.10336728395062, 12.99310104166667, 10.390900439373862, 5.104166666666667, 5.773777668845317, 5.393208333333334, 5.658026111111111, 2.755602716049383, 1.9540790684624023, 1.1373934156378602, 0.0, 14.175, 12.51132757201646, 9.77039534231201, 8.266808148148147, 11.316052222222222, 7.550491666666668, 5.773777668845317, 3.6458333333333335, 5.195450219686931, 4.331033680555557, 2.4206734567901242, 1.2830459876543212, 0.0), # 24
(14.211970122296213, 14.10797467992684, 12.101966163694561, 12.991960841049384, 10.39580728255487, 5.104166666666667, 5.771639231824418, 5.388631687242799, 5.657487139917696, 2.754471593507088, 1.9539247931994848, 1.1372065996037193, 0.0, 14.175, 12.509272595640908, 9.769623965997424, 8.263414780521263, 11.314974279835392, 7.544084362139919, 5.771639231824418, 3.6458333333333335, 5.197903641277435, 4.330653613683129, 2.4203932327389124, 1.2825431527206221, 0.0), # 25
(14.226207826667249, 14.099802892089624, 12.099892889803387, 12.990269714506173, 10.400603610526364, 5.104166666666667, 5.768480702816105, 5.381894547325103, 5.65668890946502, 2.7528027480566992, 1.9536954462318665, 1.136930163084896, 0.0, 14.175, 12.506231793933855, 9.768477231159332, 8.258408244170097, 11.31337781893004, 7.534652366255146, 5.768480702816105, 3.6458333333333335, 5.200301805263182, 4.330089904835392, 2.4199785779606775, 1.2818002629172387, 0.0), # 26
(14.240129377203292, 14.089075, 12.097166666666668, 12.988040625, 10.405289251974601, 5.104166666666667, 5.7643352941176484, 5.3730833333333345, 5.655638333333333, 2.7506150000000003, 1.9533924242424245, 1.1365666666666672, 0.0, 14.175, 12.502233333333336, 9.766962121212122, 8.251845, 11.311276666666666, 7.5223166666666685, 5.7643352941176484, 3.6458333333333335, 5.2026446259873005, 4.329346875000001, 2.4194333333333335, 1.280825, 0.0), # 27
(14.253733659746702, 14.075875502972108, 12.093806698673983, 12.985286535493827, 10.40986403558584, 5.104166666666667, 5.759236218026306, 5.362284465020577, 5.654342325102881, 2.7479271696387753, 1.9530171239140377, 1.1361186709343092, 0.0, 14.175, 12.4973053802774, 9.765085619570188, 8.243781508916324, 11.308684650205763, 7.507198251028808, 5.759236218026306, 3.6458333333333335, 5.20493201779292, 4.32842884516461, 2.418761339734797, 1.2796250457247373, 0.0), # 28
(14.26701956013985, 14.060288900320074, 12.089832190214908, 12.982020408950618, 10.41432779004634, 5.104166666666667, 5.753216686839346, 5.349584362139918, 5.652807798353909, 2.7447580772748066, 1.952570941929584, 1.1355887364730988, 0.0, 14.175, 12.491476101204084, 9.76285470964792, 8.234274231824418, 11.305615596707819, 7.489418106995886, 5.753216686839346, 3.6458333333333335, 5.20716389502317, 4.327340136316874, 2.4179664380429817, 1.2782080818472796, 0.0), # 29
(14.279985964225098, 14.042399691358026, 12.085262345679013, 12.978255208333334, 10.418680344042354, 5.104166666666667, 5.746309912854031, 5.335069444444444, 5.651041666666666, 2.7411265432098775, 1.952055274971942, 1.1349794238683129, 0.0, 14.175, 12.48477366255144, 9.760276374859709, 8.223379629629632, 11.302083333333332, 7.469097222222222, 5.746309912854031, 3.6458333333333335, 5.209340172021177, 4.326085069444446, 2.4170524691358026, 1.276581790123457, 0.0), # 30
(14.292631757844802, 14.022292375400093, 12.080116369455878, 12.97400389660494, 10.422921526260142, 5.104166666666667, 5.7385491083676285, 5.318826131687244, 5.649050843621399, 2.737051387745771, 1.9514715197239891, 1.1342932937052284, 0.0, 14.175, 12.477226230757509, 9.757357598619945, 8.211154163237312, 11.298101687242799, 7.4463565843621415, 5.7385491083676285, 3.6458333333333335, 5.211460763130071, 4.324667965534981, 2.416023273891176, 1.2747538523090995, 0.0), # 31
(14.304955826841338, 14.000051451760402, 12.07441346593507, 12.969279436728398, 10.427051165385956, 5.104166666666667, 5.7299674856774, 5.3009408436214, 5.646842242798354, 2.7325514311842714, 1.950821072868604, 1.1335329065691209, 0.0, 14.175, 12.468861972260328, 9.754105364343019, 8.197654293552812, 11.293684485596708, 7.421317181069961, 5.7299674856774, 3.6458333333333335, 5.213525582692978, 4.3230931455761334, 2.4148826931870144, 1.272731950160037, 0.0), # 32
(14.316957057057056, 13.975761419753086, 12.068172839506175, 12.964094791666666, 10.431069090106059, 5.104166666666667, 5.720598257080611, 5.2815, 5.644422777777778, 2.7276454938271613, 1.9501053310886647, 1.1327008230452675, 0.0, 14.175, 12.459709053497942, 9.750526655443322, 8.182936481481482, 11.288845555555556, 7.394100000000001, 5.720598257080611, 3.6458333333333335, 5.215534545053029, 4.321364930555556, 2.413634567901235, 1.2705237654320989, 0.0), # 33
(14.328634334334335, 13.949506778692271, 12.061413694558757, 12.958462924382715, 10.434975129106702, 5.104166666666667, 5.710474634874527, 5.260590020576132, 5.641799362139919, 2.7223523959762237, 1.9493256910670491, 1.1317996037189455, 0.0, 14.175, 12.449795640908398, 9.746628455335244, 8.16705718792867, 11.283598724279837, 7.3648260288065845, 5.710474634874527, 3.6458333333333335, 5.217487564553351, 4.319487641460906, 2.4122827389117516, 1.2681369798811157, 0.0), # 34
(14.339986544515531, 13.92137202789209, 12.054155235482398, 12.952396797839505, 10.438769111074146, 5.104166666666667, 5.699629831356412, 5.238297325102881, 5.638978909465021, 2.7166909579332423, 1.9484835494866362, 1.1308318091754308, 0.0, 14.175, 12.439149900929737, 9.74241774743318, 8.150072873799726, 11.277957818930043, 7.333616255144034, 5.699629831356412, 3.6458333333333335, 5.219384555537073, 4.317465599279836, 2.41083104709648, 1.2655792752629174, 0.0), # 35
(14.35101257344301, 13.891441666666665, 12.04641666666667, 12.945909375, 10.442450864694647, 5.104166666666667, 5.68809705882353, 5.214708333333334, 5.635968333333333, 2.7106800000000004, 1.9475803030303034, 1.1298000000000004, 0.0, 14.175, 12.427800000000001, 9.737901515151515, 8.13204, 11.271936666666665, 7.300591666666668, 5.68809705882353, 3.6458333333333335, 5.221225432347324, 4.315303125000001, 2.409283333333334, 1.2628583333333334, 0.0), # 36
(14.361711306959135, 13.859800194330132, 12.038217192501145, 12.939013618827161, 10.44602021865446, 5.104166666666667, 5.675909529573146, 5.189909465020577, 5.632774547325103, 2.7043383424782816, 1.9466173483809293, 1.1287067367779304, 0.0, 14.175, 12.415774104557233, 9.733086741904645, 8.113015027434844, 11.265549094650206, 7.265873251028808, 5.675909529573146, 3.6458333333333335, 5.22301010932723, 4.313004539609055, 2.407643438500229, 1.259981835848194, 0.0), # 37
(14.372081630906267, 13.826532110196618, 12.029576017375401, 12.931722492283953, 10.449477001639845, 5.104166666666667, 5.663100455902526, 5.1639871399176975, 5.629404465020576, 2.6976848056698683, 1.9455960822213911, 1.1275545800944982, 0.0, 14.175, 12.403100381039478, 9.727980411106955, 8.093054417009604, 11.258808930041152, 7.229581995884776, 5.663100455902526, 3.6458333333333335, 5.224738500819923, 4.3105741640946516, 2.40591520347508, 1.2569574645633292, 0.0), # 38
(14.382122431126781, 13.791721913580247, 12.020512345679016, 12.924048958333334, 10.452821042337057, 5.104166666666667, 5.649703050108934, 5.137027777777778, 5.625865000000001, 2.690738209876544, 1.9445179012345684, 1.1263460905349796, 0.0, 14.175, 12.389806995884772, 9.722589506172842, 8.07221462962963, 11.251730000000002, 7.191838888888889, 5.649703050108934, 3.6458333333333335, 5.226410521168528, 4.308016319444445, 2.4041024691358035, 1.253792901234568, 0.0), # 39
(14.39183259346303, 13.755454103795152, 12.011045381801555, 12.916005979938273, 10.45605216943235, 5.104166666666667, 5.635750524489632, 5.1091177983539104, 5.622163065843623, 2.6835173754000925, 1.943384202103338, 1.125083828684652, 0.0, 14.175, 12.375922115531171, 9.71692101051669, 8.050552126200277, 11.244326131687245, 7.1527649176954755, 5.635750524489632, 3.6458333333333335, 5.228026084716175, 4.305335326646092, 2.4022090763603114, 1.2504958276177414, 0.0), # 40
(14.40121100375738, 13.717813180155463, 12.001194330132604, 12.90760652006173, 10.459170211611989, 5.104166666666667, 5.621276091341887, 5.080343621399178, 5.618305576131687, 2.676041122542296, 1.9421963815105796, 1.1237703551287916, 0.0, 14.175, 12.361473906416705, 9.710981907552897, 8.028123367626886, 11.236611152263373, 7.112481069958849, 5.621276091341887, 3.6458333333333335, 5.229585105805994, 4.302535506687244, 2.400238866026521, 1.2470739254686787, 0.0), # 41
(14.410256547852201, 13.678883641975311, 11.990978395061731, 12.89886354166667, 10.462174997562222, 5.104166666666667, 5.6063129629629636, 5.050791666666668, 5.614299444444446, 2.668328271604939, 1.9409558361391697, 1.122408230452675, 0.0, 14.175, 12.346490534979424, 9.704779180695848, 8.004984814814815, 11.228598888888891, 7.071108333333335, 5.6063129629629636, 3.6458333333333335, 5.231087498781111, 4.299621180555557, 2.3981956790123466, 1.2435348765432102, 0.0), # 42
(14.418968111589852, 13.638749988568819, 11.980416780978512, 12.889790007716051, 10.46506635596931, 5.104166666666667, 5.5908943516501255, 5.020548353909466, 5.61015158436214, 2.660397642889804, 1.9396639626719878, 1.1210000152415793, 0.0, 14.175, 12.331000167657372, 9.698319813359937, 7.981192928669412, 11.22030316872428, 7.0287676954732525, 5.5908943516501255, 3.6458333333333335, 5.232533177984655, 4.296596669238685, 2.3960833561957027, 1.2398863625971654, 0.0), # 43
(14.427344580812699, 13.597496719250115, 11.969528692272522, 12.880398881172843, 10.467844115519508, 5.104166666666667, 5.575053469700638, 4.98970010288066, 5.605868909465021, 2.652268056698675, 1.938322157791911, 1.1195482700807806, 0.0, 14.175, 12.315030970888586, 9.691610788959554, 7.9568041700960235, 11.211737818930041, 6.985580144032924, 5.575053469700638, 3.6458333333333335, 5.233922057759754, 4.293466293724282, 2.3939057384545044, 1.2361360653863744, 0.0), # 44
(14.435384841363105, 13.555208333333335, 11.958333333333336, 12.870703125000002, 10.470508104899077, 5.104166666666667, 5.558823529411765, 4.958333333333334, 5.601458333333333, 2.6439583333333343, 1.9369318181818187, 1.1180555555555556, 0.0, 14.175, 12.29861111111111, 9.684659090909092, 7.931875000000002, 11.202916666666667, 6.941666666666667, 5.558823529411765, 3.6458333333333335, 5.235254052449538, 4.290234375000002, 2.391666666666667, 1.232291666666667, 0.0), # 45
(14.443087779083434, 13.511969330132603, 11.946849908550526, 12.860715702160494, 10.47305815279427, 5.104166666666667, 5.542237743080772, 4.926534465020577, 5.596926769547324, 2.635487293095565, 1.9354943405245877, 1.1165244322511814, 0.0, 14.175, 12.281768754762993, 9.677471702622938, 7.906461879286693, 11.193853539094649, 6.897148251028808, 5.542237743080772, 3.6458333333333335, 5.236529076397135, 4.286905234053499, 2.3893699817101055, 1.228360848193873, 0.0), # 46
(14.45045227981605, 13.46786420896205, 11.935097622313673, 12.850449575617287, 10.475494087891343, 5.104166666666667, 5.525329323004923, 4.894389917695474, 5.592281131687244, 2.6268737562871523, 1.9340111215030973, 1.1149574607529342, 0.0, 14.175, 12.264532068282275, 9.670055607515485, 7.880621268861455, 11.184562263374488, 6.852145884773663, 5.525329323004923, 3.6458333333333335, 5.237747043945672, 4.283483191872429, 2.387019524462735, 1.2243512917238228, 0.0), # 47
(14.457477229403315, 13.422977469135803, 11.923095679012349, 12.839917708333335, 10.477815738876558, 5.104166666666667, 5.508131481481482, 4.861986111111112, 5.587528333333333, 2.618136543209877, 1.9324835578002246, 1.1133572016460909, 0.0, 14.175, 12.246929218106997, 9.662417789001124, 7.854409629629629, 11.175056666666666, 6.806780555555557, 5.508131481481482, 3.6458333333333335, 5.238907869438279, 4.279972569444446, 2.38461913580247, 1.2202706790123459, 0.0), # 48
(14.464161513687602, 13.377393609967992, 11.910863283036125, 12.829133063271607, 10.480022934436168, 5.104166666666667, 5.490677430807714, 4.829409465020577, 5.582675288065844, 2.6092944741655244, 1.930913046098849, 1.1117262155159278, 0.0, 14.175, 12.228988370675204, 9.654565230494246, 7.827883422496572, 11.165350576131688, 6.761173251028807, 5.490677430807714, 3.6458333333333335, 5.240011467218084, 4.276377687757203, 2.382172656607225, 1.2161266918152722, 0.0), # 49
(14.470504018511264, 13.33119713077275, 11.89841963877458, 12.81810860339506, 10.482115503256427, 5.104166666666667, 5.473000383280885, 4.796746399176955, 5.57772890946502, 2.6003663694558763, 1.9293009830818477, 1.1100670629477218, 0.0, 14.175, 12.210737692424937, 9.646504915409238, 7.8010991083676275, 11.15545781893004, 6.715444958847738, 5.473000383280885, 3.6458333333333335, 5.2410577516282135, 4.272702867798355, 2.379683927754916, 1.211927011888432, 0.0), # 50
(14.476503629716676, 13.284472530864198, 11.885783950617286, 12.806857291666669, 10.484093274023598, 5.104166666666667, 5.455133551198258, 4.764083333333335, 5.572696111111112, 2.5913710493827167, 1.9276487654320995, 1.1083823045267494, 0.0, 14.175, 12.192205349794241, 9.638243827160496, 7.774113148148149, 11.145392222222224, 6.669716666666668, 5.455133551198258, 3.6458333333333335, 5.242046637011799, 4.268952430555557, 2.377156790123457, 1.2076793209876546, 0.0), # 51
(14.482159233146191, 13.237304309556471, 11.87297542295382, 12.795392091049385, 10.485956075423934, 5.104166666666667, 5.437110146857097, 4.731506687242798, 5.567583806584363, 2.582327334247829, 1.9259577898324816, 1.1066745008382872, 0.0, 14.175, 12.173419509221157, 9.629788949162407, 7.746982002743485, 11.135167613168726, 6.624109362139918, 5.437110146857097, 3.6458333333333335, 5.242978037711967, 4.265130697016462, 2.3745950845907644, 1.2033913008687704, 0.0), # 52
(14.487469714642183, 13.189776966163697, 11.860013260173757, 12.783725964506175, 10.487703736143693, 5.104166666666667, 5.418963382554669, 4.699102880658437, 5.5623989094650215, 2.573254044352996, 1.9242294529658732, 1.104946212467612, 0.0, 14.175, 12.15440833714373, 9.621147264829364, 7.719762133058986, 11.124797818930043, 6.578744032921811, 5.418963382554669, 3.6458333333333335, 5.243851868071847, 4.261241988168726, 2.3720026520347517, 1.199070633287609, 0.0), # 53
(14.492433960047004, 13.141975000000002, 11.846916666666667, 12.771871875000002, 10.489336084869135, 5.104166666666667, 5.400726470588236, 4.6669583333333335, 5.557148333333334, 2.5641700000000007, 1.9224651515151516, 1.1032000000000002, 0.0, 14.175, 12.1352, 9.612325757575757, 7.69251, 11.114296666666668, 6.533741666666667, 5.400726470588236, 3.6458333333333335, 5.244668042434568, 4.257290625000001, 2.369383333333334, 1.1947250000000003, 0.0), # 54
(14.497050855203032, 13.093982910379516, 11.833704846822133, 12.759842785493827, 10.490852950286511, 5.104166666666667, 5.382432623255064, 4.6351594650205765, 5.551838991769547, 2.555094021490627, 1.9206662821631961, 1.101438424020729, 0.0, 14.175, 12.115822664228014, 9.603331410815981, 7.66528206447188, 11.103677983539095, 6.4892232510288075, 5.382432623255064, 3.6458333333333335, 5.2454264751432556, 4.253280928497944, 2.3667409693644266, 1.1903620827617745, 0.0), # 55
(14.501319285952622, 13.045885196616371, 11.820397005029724, 12.74765165895062, 10.492254161082082, 5.104166666666667, 5.3641150528524175, 4.603792695473252, 5.5464777983539095, 2.5460449291266585, 1.918834241592884, 1.099664045115074, 0.0, 14.175, 12.096304496265812, 9.59417120796442, 7.638134787379974, 11.092955596707819, 6.445309773662553, 5.3641150528524175, 3.6458333333333335, 5.246127080541041, 4.249217219650207, 2.3640794010059447, 1.1859895633287612, 0.0), # 56
(14.505238138138138, 12.997766358024693, 11.807012345679016, 12.735311458333335, 10.493539545942102, 5.104166666666667, 5.34580697167756, 4.572944444444445, 5.541071666666667, 2.5370415432098774, 1.9169704264870937, 1.097879423868313, 0.0, 14.175, 12.076673662551439, 9.584852132435467, 7.61112462962963, 11.082143333333335, 6.402122222222224, 5.34580697167756, 3.6458333333333335, 5.246769772971051, 4.245103819444446, 2.3614024691358035, 1.1816151234567904, 0.0), # 57
(14.508806297601952, 12.949710893918612, 11.79357007315958, 12.72283514660494, 10.494708933552829, 5.104166666666667, 5.3275415920277585, 4.5427011316872425, 5.535627510288066, 2.5281026840420675, 1.9150762335287033, 1.096087120865722, 0.0, 14.175, 12.05695832952294, 9.575381167643515, 7.584308052126201, 11.071255020576132, 6.35978158436214, 5.3275415920277585, 3.6458333333333335, 5.2473544667764145, 4.240945048868314, 2.3587140146319165, 1.1772464449016922, 0.0), # 58
(14.51202265018642, 12.901803303612255, 11.780089391860999, 12.710235686728396, 10.495762152600523, 5.104166666666667, 5.309352126200275, 4.513149176954733, 5.530152242798355, 2.5192471719250125, 1.9131530594005905, 1.0942896966925775, 0.0, 14.175, 12.037186663618352, 9.565765297002951, 7.557741515775036, 11.06030448559671, 6.3184088477366265, 5.309352126200275, 3.6458333333333335, 5.247881076300262, 4.2367452289094665, 2.3560178783722, 1.172891209419296, 0.0), # 59
(14.51488608173391, 12.854128086419754, 11.76658950617284, 12.697526041666668, 10.496699031771435, 5.104166666666667, 5.291271786492374, 4.484375000000001, 5.524652777777779, 2.5104938271604946, 1.9112023007856345, 1.0924897119341568, 0.0, 14.175, 12.017386831275722, 9.556011503928172, 7.5314814814814826, 11.049305555555557, 6.278125000000001, 5.291271786492374, 3.6458333333333335, 5.248349515885717, 4.232508680555557, 2.353317901234568, 1.1685570987654323, 0.0), # 60
(14.517395478086781, 12.806769741655238, 11.753089620484685, 12.684719174382717, 10.497519399751823, 5.104166666666667, 5.273333785201324, 4.4564650205761325, 5.519136028806585, 2.501861470050298, 1.9092253543667126, 1.0906897271757356, 0.0, 14.175, 11.997586998933091, 9.546126771833563, 7.5055844101508935, 11.03827205761317, 6.2390510288065855, 5.273333785201324, 3.6458333333333335, 5.248759699875912, 4.22823972479424, 2.350617924096937, 1.1642517946959308, 0.0), # 61
(14.519549725087407, 12.759812768632832, 11.739608939186102, 12.671828047839508, 10.498223085227952, 5.104166666666667, 5.255571334624385, 4.429505658436215, 5.513608909465021, 2.4933689208962058, 1.9072236168267036, 1.0888923030025914, 0.0, 14.175, 11.977815333028504, 9.536118084133516, 7.4801067626886155, 11.027217818930042, 6.201307921810701, 5.255571334624385, 3.6458333333333335, 5.249111542613976, 4.2239426826131705, 2.3479217878372207, 1.1599829789666212, 0.0), # 62
(14.521347708578144, 12.713341666666667, 11.72616666666667, 12.658865625, 10.498809916886067, 5.104166666666667, 5.238017647058824, 4.4035833333333345, 5.508078333333334, 2.4850350000000003, 1.9051984848484853, 1.0871000000000002, 0.0, 14.175, 11.9581, 9.525992424242425, 7.455105, 11.016156666666667, 6.165016666666668, 5.238017647058824, 3.6458333333333335, 5.249404958443034, 4.219621875000001, 2.345233333333334, 1.1557583333333337, 0.0), # 63
(14.522788314401359, 12.667440935070873, 11.712782007315958, 12.645844868827162, 10.499279723412432, 5.104166666666667, 5.220705934801905, 4.378784465020577, 5.50255121399177, 2.4768785276634664, 1.9031513551149353, 1.0853153787532392, 0.0, 14.175, 11.938469166285628, 9.515756775574676, 7.430635582990398, 11.00510242798354, 6.130298251028808, 5.220705934801905, 3.6458333333333335, 5.249639861706216, 4.215281622942388, 2.342556401463192, 1.151585539551898, 0.0), # 64
(14.523870428399414, 12.62219507315958, 11.69947416552355, 12.63277874228395, 10.499632333493302, 5.104166666666667, 5.2036694101508925, 4.35519547325103, 5.497034465020577, 2.4689183241883863, 1.9010836243089335, 1.0835409998475842, 0.0, 14.175, 11.918950998323425, 9.505418121544666, 7.406754972565158, 10.994068930041154, 6.097273662551442, 5.2036694101508925, 3.6458333333333335, 5.249816166746651, 4.2109262474279845, 2.3398948331047102, 1.1474722793781438, 0.0), # 65
(14.524592936414676, 12.577688580246916, 11.686262345679015, 12.619680208333333, 10.499867575814935, 5.104166666666667, 5.1869412854030505, 4.332902777777779, 5.491535000000001, 2.4611732098765438, 1.898996689113356, 1.0817794238683132, 0.0, 14.175, 11.899573662551441, 9.49498344556678, 7.38351962962963, 10.983070000000001, 6.06606388888889, 5.1869412854030505, 3.6458333333333335, 5.249933787907468, 4.206560069444445, 2.337252469135803, 1.1434262345679016, 0.0), # 66
(14.524954724289511, 12.534005955647004, 11.673165752171926, 12.606562229938273, 10.499985279063587, 5.104166666666667, 5.1705547728556445, 4.311992798353911, 5.486059732510288, 2.453662005029722, 1.8968919462110825, 1.0800332114007012, 0.0, 14.175, 11.88036532540771, 9.484459731055413, 7.360986015089164, 10.972119465020576, 6.036789917695475, 5.1705547728556445, 3.6458333333333335, 5.2499926395317935, 4.202187409979425, 2.3346331504343856, 1.1394550868770006, 0.0), # 67
(14.524708260273156, 12.491002420461081, 11.660140274919984, 12.593323827495976, 10.499886091610856, 5.104071942793273, 5.154460636380753, 4.292367245846671, 5.480574329370524, 2.446367154576509, 1.894733397326088, 1.078295169221637, 0.0, 14.174825210048013, 11.861246861438005, 9.47366698663044, 7.339101463729525, 10.961148658741047, 6.009314144185339, 5.154460636380753, 3.6457656734237665, 5.249943045805428, 4.197774609165326, 2.3320280549839967, 1.135545674587371, 0.0), # 68
(14.522398389694043, 12.44736508363202, 11.646819830246914, 12.579297690217391, 10.498983297022512, 5.1033231138545965, 5.13818772694263, 4.272974279835392, 5.474838991769548, 2.439082236746551, 1.8923013290802768, 1.0765088802252547, 0.0, 14.17344039351852, 11.8415976824778, 9.461506645401384, 7.317246710239651, 10.949677983539097, 5.982163991769549, 5.13818772694263, 3.6452307956104257, 5.249491648511256, 4.193099230072464, 2.329363966049383, 1.1315786439665476, 0.0), # 69
(14.517840102582454, 12.402893656798973, 11.633146504915409, 12.564391480475042, 10.49719935985368, 5.101848358989992, 5.121662094192959, 4.253638926992837, 5.468821349641823, 2.4317718335619576, 1.8895680735227522, 1.0746659888174948, 0.0, 14.170705268347055, 11.82132587699244, 9.447840367613761, 7.295315500685872, 10.937642699283646, 5.955094497789972, 5.121662094192959, 3.6441773992785653, 5.24859967992684, 4.188130493491681, 2.326629300983082, 1.127535786981725, 0.0), # 70
(14.511097524900102, 12.357614716359132, 11.619125100022863, 12.548627178945251, 10.49455687350386, 5.0996715769953775, 5.104891161677292, 4.234367588782199, 5.462530365035819, 2.4244361257699243, 1.8865437198495683, 1.072767842674817, 0.0, 14.166655842764062, 11.800446269422984, 9.43271859924784, 7.273308377309771, 10.925060730071637, 5.928114624295079, 5.104891161677292, 3.642622554996698, 5.24727843675193, 4.182875726315085, 2.323825020004573, 1.1234195196690122, 0.0), # 71
(14.502234782608697, 12.311554838709677, 11.604760416666666, 12.532026766304348, 10.49107843137255, 5.096816666666667, 5.087882352941177, 4.215166666666667, 5.4559750000000005, 2.4170752941176477, 1.8832383572567788, 1.0708157894736845, 0.0, 14.161328125, 11.778973684210527, 9.416191786283894, 7.251225882352942, 10.911950000000001, 5.901233333333334, 5.087882352941177, 3.6405833333333337, 5.245539215686275, 4.177342255434784, 2.3209520833333337, 1.1192322580645162, 0.0), # 72
(14.491316001669949, 12.264740600247798, 11.590057255944217, 12.514612223228664, 10.486786626859248, 5.0933075267997765, 5.070643091530164, 4.196042562109436, 5.4491642165828384, 2.409689519352323, 1.8796620749404376, 1.0688111768905575, 0.0, 14.154758123285324, 11.75692294579613, 9.398310374702186, 7.229068558056968, 10.898328433165677, 5.8744595869532095, 5.070643091530164, 3.638076804856983, 5.243393313429624, 4.171537407742889, 2.3180114511888434, 1.1149764182043456, 0.0), # 73
(14.478405308045566, 12.21719857737068, 11.575020418952905, 12.496405530394526, 10.481704053363458, 5.089168056190623, 5.053180800989806, 4.177001676573693, 5.4421069768328, 2.402278982221147, 1.8758249620965999, 1.0667553526018982, 0.0, 14.146981845850483, 11.734308878620878, 9.379124810482999, 7.20683694666344, 10.8842139536656, 5.84780234720317, 5.053180800989806, 3.635120040136159, 5.240852026681729, 4.165468510131509, 2.315004083790581, 1.1106544161246077, 0.0), # 74
(14.463566827697262, 12.168955346475506, 11.559654706790123, 12.477428668478263, 10.475853304284678, 5.084422153635118, 5.03550290486565, 4.158050411522635, 5.434812242798353, 2.394843863471315, 1.8717371079213185, 1.0646496642841674, 0.0, 14.138035300925928, 11.711146307125839, 9.358685539606592, 7.184531590413944, 10.869624485596706, 5.821270576131688, 5.03550290486565, 3.63173010973937, 5.237926652142339, 4.159142889492755, 2.311930941358025, 1.10626866786141, 0.0), # 75
(14.44686468658675, 12.12003748395947, 11.543964920553272, 12.457703618156202, 10.469256973022405, 5.079093717929179, 5.017616826703247, 4.139195168419449, 5.427288976527969, 2.3873843438500235, 1.8674086016106486, 1.0624954596138265, 0.0, 14.127954496742113, 11.68745005575209, 9.337043008053241, 7.162153031550069, 10.854577953055937, 5.794873235787229, 5.017616826703247, 3.6279240842351275, 5.234628486511203, 4.152567872718735, 2.3087929841106543, 1.101821589450861, 0.0), # 76
(14.428363010675731, 12.070471566219748, 11.527955861339734, 12.43725236010467, 10.461937652976141, 5.07320664786872, 4.9995299900481465, 4.120442348727329, 5.4195461400701115, 2.3799006041044684, 1.8628495323606438, 1.0602940862673376, 0.0, 14.116775441529496, 11.663234948940712, 9.314247661803218, 7.139701812313404, 10.839092280140223, 5.768619288218261, 4.9995299900481465, 3.623719034191943, 5.230968826488071, 4.145750786701558, 2.305591172267947, 1.0973155969290682, 0.0), # 77
(14.408125925925928, 12.020284169653527, 11.511632330246915, 12.416096875000001, 10.45391793754539, 5.066784842249657, 4.981249818445898, 4.101798353909466, 5.41159269547325, 2.372392824981845, 1.8580699893673582, 1.0580468919211612, 0.0, 14.10453414351852, 11.638515811132772, 9.29034994683679, 7.1171784749455345, 10.8231853909465, 5.742517695473253, 4.981249818445898, 3.6191320301783265, 5.226958968772695, 4.138698958333334, 2.3023264660493834, 1.092753106332139, 0.0), # 78
(14.386217558299041, 11.969501870657995, 11.494999128372202, 12.394259143518521, 10.445220420129644, 5.0598521998679065, 4.962783735442051, 4.0832695854290515, 5.403437604785855, 2.3648611872293506, 1.8530800618268455, 1.0557552242517592, 0.0, 14.091266610939643, 11.613307466769347, 9.265400309134227, 7.094583561688051, 10.80687520957171, 5.716577419600672, 4.962783735442051, 3.61418014276279, 5.222610210064822, 4.131419714506174, 2.2989998256744406, 1.0881365336961817, 0.0), # 79
(14.362702033756786, 11.918151245630337, 11.478061056812987, 12.371761146336556, 10.435867694128408, 5.052432619519382, 4.9441391645821575, 4.064862444749277, 5.395089830056394, 2.35730587159418, 1.847889838935161, 1.0534204309355928, 0.0, 14.07700885202332, 11.587624740291517, 9.239449194675805, 7.071917614782539, 10.790179660112788, 5.690807422648988, 4.9441391645821575, 3.6088804425138443, 5.217933847064204, 4.123920382112186, 2.2956122113625974, 1.0834682950573036, 0.0), # 80
(14.337643478260873, 11.866258870967743, 11.460822916666668, 12.348624864130437, 10.425882352941176, 5.04455, 4.925323529411765, 4.046583333333334, 5.386558333333333, 2.34972705882353, 1.8425094098883579, 1.0510438596491232, 0.0, 14.061796875, 11.561482456140352, 9.212547049441788, 7.049181176470589, 10.773116666666667, 5.665216666666669, 4.925323529411765, 3.60325, 5.212941176470588, 4.11620828804348, 2.2921645833333337, 1.0787508064516131, 0.0), # 81
(14.311106017773009, 11.813851323067393, 11.443289509030638, 12.32487227757649, 10.415286989967456, 5.036228240105676, 4.906344253476426, 4.0284386526444145, 5.3778520766651425, 2.342124929664596, 1.83694886388249, 1.048626858068812, 0.0, 14.045666688100141, 11.53489543875693, 9.18474431941245, 7.026374788993786, 10.755704153330285, 5.63981411370218, 4.906344253476426, 3.5973058857897686, 5.207643494983728, 4.1082907591921645, 2.2886579018061277, 1.0739864839152178, 0.0), # 82
(14.283153778254908, 11.760955178326475, 11.425465635002288, 12.300525367351046, 10.40410419860674, 5.027491238632323, 4.887208760321688, 4.01043480414571, 5.368980022100289, 2.3344996648645746, 1.8312182901136123, 1.0461707738711208, 0.0, 14.028654299554185, 11.507878512582325, 9.156091450568061, 7.0034989945937225, 10.737960044200578, 5.614608725803994, 4.887208760321688, 3.5910651704516594, 5.20205209930337, 4.1001751224503495, 2.2850931270004575, 1.0691777434842251, 0.0), # 83
(14.253850885668278, 11.707597013142175, 11.407356095679013, 12.275606114130436, 10.392356572258533, 5.0183628943758585, 4.867924473493101, 3.9925781893004118, 5.359951131687243, 2.3268514451706617, 1.825327777777778, 1.0436769547325107, 0.0, 14.010795717592593, 11.480446502057614, 9.12663888888889, 6.980554335511984, 10.719902263374486, 5.589609465020577, 4.867924473493101, 3.5845449245541845, 5.196178286129267, 4.091868704710146, 2.281471219135803, 1.0643270011947434, 0.0), # 84
(14.223261465974833, 11.653803403911677, 11.388965692158209, 12.250136498590983, 10.380066704322333, 5.008867106132196, 4.8484988165362175, 3.974875209571713, 5.35077436747447, 2.3191804513300527, 1.8192874160710422, 1.041146748329443, 0.0, 13.992126950445819, 11.452614231623869, 9.09643708035521, 6.957541353990157, 10.70154873494894, 5.564825293400398, 4.8484988165362175, 3.577762218665854, 5.190033352161167, 4.083378832863662, 2.2777931384316417, 1.05943667308288, 0.0), # 85
(14.191449645136279, 11.59960092703217, 11.370299225537268, 12.224138501409021, 10.367257188197637, 4.999027772697253, 4.828939212996585, 3.9573322664228017, 5.341458691510441, 2.311486864089944, 1.8131072941894584, 1.0385815023383795, 0.0, 13.97268400634431, 11.424396525722173, 9.065536470947292, 6.934460592269831, 10.682917383020882, 5.540265172991923, 4.828939212996585, 3.57073412335518, 5.183628594098819, 4.074712833803008, 2.274059845107454, 1.0545091751847429, 0.0), # 86
(14.15847954911433, 11.545016158900838, 11.35136149691358, 12.19763410326087, 10.353950617283953, 4.988868792866941, 4.809253086419753, 3.939955761316873, 5.332013065843622, 2.3037708641975314, 1.8067975013290805, 1.035982564435781, 0.0, 13.95250289351852, 11.39580820879359, 9.033987506645403, 6.9113125925925925, 10.664026131687244, 5.515938065843622, 4.809253086419753, 3.563477709190672, 5.1769753086419765, 4.065878034420291, 2.2702722993827162, 1.0495469235364399, 0.0), # 87
(14.124415303870702, 11.490075675914863, 11.332157307384547, 12.170645284822868, 10.340169584980769, 4.97841406543718, 4.789447860351274, 3.9227520957171165, 5.322446452522482, 2.296032632400011, 1.8003681266859632, 1.0333512822981095, 0.0, 13.931619620198905, 11.366864105279202, 9.001840633429817, 6.888097897200032, 10.644892905044964, 5.491852934003963, 4.789447860351274, 3.556010046740843, 5.1700847924903846, 4.056881761607624, 2.2664314614769094, 1.0445523341740786, 0.0), # 88
(14.089321035367092, 11.434806054471437, 11.312691458047555, 12.143194026771337, 10.325936684687594, 4.967687489203883, 4.769530958336696, 3.905727671086725, 5.312767813595489, 2.2882723494445796, 1.7938292594561607, 1.030689003601826, 0.0, 13.910070194615912, 11.337579039620083, 8.969146297280803, 6.864817048333737, 10.625535627190978, 5.4680187395214155, 4.769530958336696, 3.548348206574202, 5.162968342343797, 4.047731342257113, 2.2625382916095114, 1.0395278231337672, 0.0), # 89
(14.053260869565218, 11.379233870967743, 11.292968750000002, 12.115302309782612, 10.311274509803923, 4.956712962962964, 4.749509803921569, 3.8888888888888893, 5.302986111111112, 2.280490196078432, 1.787190988835726, 1.027997076023392, 0.0, 13.887890625, 11.30796783625731, 8.93595494417863, 6.841470588235294, 10.605972222222224, 5.4444444444444455, 4.749509803921569, 3.54050925925926, 5.155637254901961, 4.0384341032608715, 2.2585937500000006, 1.0344758064516133, 0.0), # 90
(14.016298932426789, 11.323385701800964, 11.272993984339278, 12.086992114533015, 10.296205653729254, 4.945514385510339, 4.729391820651443, 3.8722421505868017, 5.293110307117818, 2.2726863530487647, 1.7804634040207143, 1.025276847239269, 0.0, 13.865116919581618, 11.278045319631957, 8.902317020103572, 6.818059059146293, 10.586220614235636, 5.4211390108215225, 4.729391820651443, 3.5325102753645283, 5.148102826864627, 4.0289973715110055, 2.254598796867856, 1.0293987001637241, 0.0), # 91
(13.978499349913523, 11.267288123368292, 11.252771962162782, 12.058285421698875, 10.280752709863094, 4.934115655641925, 4.709184432071869, 3.8557938576436523, 5.2831493636640765, 2.2648610011027737, 1.7736565942071794, 1.0225296649259181, 0.0, 13.841785086591221, 11.247826314185097, 8.868282971035896, 6.79458300330832, 10.566298727328153, 5.398111400701113, 4.709184432071869, 3.524368325458518, 5.140376354931547, 4.019428473899626, 2.2505543924325564, 1.0242989203062085, 0.0), # 92
(13.939926247987117, 11.210967712066907, 11.232307484567903, 12.029204211956525, 10.264938271604938, 4.9225406721536356, 4.688895061728395, 3.839550411522634, 5.273112242798354, 2.2570143209876545, 1.7667806485911755, 1.019756876759801, 0.0, 13.81793113425926, 11.217325644357809, 8.833903242955877, 6.771042962962962, 10.546224485596708, 5.375370576131688, 4.688895061728395, 3.5161004801097393, 5.132469135802469, 4.009734737318842, 2.246461496913581, 1.0191788829151736, 0.0), # 93
(13.900643752609293, 11.154451044293994, 11.211605352652038, 11.999770465982289, 10.248784932354287, 4.910813333841387, 4.6685311331665735, 3.8235182136869392, 5.263007906569121, 2.2491464934506045, 1.7598456563687561, 1.016959830417379, 0.0, 13.793591070816188, 11.186558134591166, 8.79922828184378, 6.747439480351812, 10.526015813138242, 5.3529254991617155, 4.6685311331665735, 3.5077238098867047, 5.124392466177143, 3.9999234886607637, 2.2423210705304077, 1.014041004026727, 0.0), # 94
(13.860715989741754, 11.097764696446747, 11.190670367512576, 11.970006164452498, 10.232315285510639, 4.898957539501094, 4.648100069931951, 3.807703665599757, 5.252845317024844, 2.241257699238818, 1.752861706735976, 1.014139873575113, 0.0, 13.768800904492457, 11.155538609326241, 8.764308533679879, 6.723773097716453, 10.505690634049689, 5.33078513183966, 4.648100069931951, 3.499255385357924, 5.1161576427553195, 3.9900020548175, 2.2381340735025153, 1.0088876996769771, 0.0), # 95
(13.820207085346219, 11.040935244922345, 11.169507330246915, 11.93993328804348, 10.215551924473493, 4.88699718792867, 4.62760929557008, 3.7921131687242804, 5.242633436213992, 2.2333481190994924, 1.7458388888888892, 1.0112983539094653, 0.0, 13.74359664351852, 11.124281893004117, 8.729194444444445, 6.700044357298475, 10.485266872427983, 5.3089584362139925, 4.62760929557008, 3.490712277091907, 5.1077759622367465, 3.9799777626811608, 2.2339014660493834, 1.0037213859020315, 0.0), # 96
(13.779181165384388, 10.983989266117973, 11.148121041952448, 11.909573817431562, 10.198517442642354, 4.8749561779200326, 4.60706623362651, 3.7767531245237014, 5.2323812261850335, 2.2254179337798226, 1.7387872920235496, 1.0084366190968967, 0.0, 13.718014296124831, 11.09280281006586, 8.693936460117747, 6.676253801339467, 10.464762452370067, 5.287454374333182, 4.60706623362651, 3.482111555657166, 5.099258721321177, 3.969857939143855, 2.2296242083904896, 0.9985444787379977, 0.0), # 97
(13.737702355817978, 10.926953336430817, 11.126516303726566, 11.878949733293078, 10.181234433416716, 4.862858408271099, 4.58647830764679, 3.7616299344612103, 5.222097648986434, 2.2174673240270053, 1.7317170053360116, 1.0055560168138682, 0.0, 13.69208987054184, 11.06111618495255, 8.658585026680058, 6.652401972081014, 10.444195297972868, 5.266281908245695, 4.58647830764679, 3.4734702916222133, 5.090617216708358, 3.9596499110976935, 2.2253032607453136, 0.9933593942209834, 0.0), # 98
(13.695834782608697, 10.869854032258065, 11.10469791666667, 11.848083016304349, 10.163725490196079, 4.850727777777779, 4.5658529411764714, 3.7467500000000005, 5.211791666666667, 2.2094964705882356, 1.724638118022329, 1.0026578947368423, 0.0, 13.665859375000002, 11.029236842105265, 8.623190590111644, 6.628489411764706, 10.423583333333333, 5.245450000000001, 4.5658529411764714, 3.4648055555555564, 5.081862745098039, 3.949361005434784, 2.220939583333334, 0.988168548387097, 0.0), # 99
(13.653642571718258, 10.8127179299969, 11.082670681870143, 11.816995647141708, 10.146013206379946, 4.8385881852359915, 4.545197557761102, 3.732119722603262, 5.201472241274196, 2.201505554210711, 1.717560719278556, 0.9997436005422796, 0.0, 13.639358817729768, 10.997179605965075, 8.58780359639278, 6.6045166626321326, 10.402944482548392, 5.224967611644567, 4.545197557761102, 3.456134418025708, 5.073006603189973, 3.938998549047237, 2.2165341363740287, 0.9829743572724456, 0.0), # 100
(13.611189849108369, 10.755571606044516, 11.060439400434387, 11.785709606481484, 10.128120175367815, 4.82646352944165, 4.524519580946234, 3.7177455037341867, 5.191148334857491, 2.1934947556416264, 1.7104948983007466, 0.9968144819066413, 0.0, 13.612624206961591, 10.964959300973053, 8.552474491503732, 6.580484266924878, 10.382296669714982, 5.204843705227861, 4.524519580946234, 3.4474739496011786, 5.064060087683908, 3.928569868827162, 2.2120878800868775, 0.977779236913138, 0.0), # 101
(13.568540740740744, 10.698441636798089, 11.038008873456791, 11.754246875000002, 10.110068990559187, 4.814377709190674, 4.503826434277415, 3.7036337448559675, 5.180828909465021, 2.1854642556281783, 1.7034507442849551, 0.9938718865063897, 0.0, 13.585691550925928, 10.932590751570284, 8.517253721424776, 6.556392766884533, 10.361657818930041, 5.185087242798355, 4.503826434277415, 3.438841220850481, 5.055034495279593, 3.918082291666668, 2.207601774691358, 0.972585603345281, 0.0), # 102
(13.525759372577088, 10.641354598654807, 11.015383902034753, 11.722629433373593, 10.09188224535356, 4.802354623278973, 4.483125541300197, 3.689790847431795, 5.170522927145252, 2.1774142349175616, 1.696438346427236, 0.9909171620179854, 0.0, 13.558596857853223, 10.900088782197837, 8.482191732136178, 6.532242704752683, 10.341045854290504, 5.1657071864045125, 4.483125541300197, 3.4302533023421233, 5.04594112267678, 3.907543144457865, 2.2030767804069504, 0.9673958726049827, 0.0), # 103
(13.482909870579116, 10.58433706801186, 10.992569287265662, 11.690879262278584, 10.073582533150434, 4.790418170502465, 4.462424325560129, 3.6762232129248593, 5.160239349946655, 2.1693448742569736, 1.689467793923642, 0.9879516561178898, 0.0, 13.53137613597394, 10.867468217296787, 8.447338969618208, 6.50803462277092, 10.32047869989331, 5.146712498094804, 4.462424325560129, 3.421727264644618, 5.036791266575217, 3.896959754092862, 2.1985138574531327, 0.9622124607283511, 0.0), # 104
(13.440056360708535, 10.527415621266428, 10.969569830246915, 11.659018342391304, 10.05519244734931, 4.778592249657065, 4.441730210602761, 3.662937242798354, 5.1499871399176955, 2.1612563543936103, 1.682549175970229, 0.9849767164825647, 0.0, 13.50406539351852, 10.83474388130821, 8.412745879851144, 6.48376906318083, 10.299974279835391, 5.128112139917696, 4.441730210602761, 3.4132801783264752, 5.027596223674655, 3.886339447463769, 2.1939139660493834, 0.9570377837514936, 0.0), # 105
(13.39726296892706, 10.470616834815702, 10.946390332075904, 11.627068654388085, 10.036734581349688, 4.766900759538689, 4.4210506199736415, 3.6499393385154706, 5.139775259106843, 2.153148856074666, 1.67569258176305, 0.9819936907884712, 0.0, 13.476700638717421, 10.801930598673183, 8.378462908815248, 6.459446568223997, 10.279550518213686, 5.109915073921659, 4.4210506199736415, 3.4049291139562063, 5.018367290674844, 3.875689551462696, 2.189278066415181, 0.9518742577105185, 0.0), # 106
(13.3545938211964, 10.413967285056863, 10.923035593850026, 11.59505217894525, 10.018231528551063, 4.755367598943252, 4.400392977218323, 3.6372359015394005, 5.129612669562567, 2.145022560047339, 1.6689081004981592, 0.9790039267120707, 0.0, 13.449317879801098, 10.769043193832776, 8.344540502490794, 6.435067680142016, 10.259225339125134, 5.092130262155161, 4.400392977218323, 3.3966911421023225, 5.009115764275531, 3.865017392981751, 2.1846071187700056, 0.9467242986415331, 0.0), # 107
(13.312113043478263, 10.357493548387097, 10.899510416666669, 11.562990896739132, 9.999705882352941, 4.744016666666668, 4.379764705882353, 3.6248333333333345, 5.119508333333334, 2.1368776470588244, 1.662205821371611, 0.9760087719298248, 0.0, 13.421953125000002, 10.736096491228071, 8.311029106858054, 6.4106329411764715, 10.239016666666668, 5.074766666666668, 4.379764705882353, 3.3885833333333344, 4.999852941176471, 3.854330298913045, 2.179902083333334, 0.9415903225806455, 0.0), # 108
(13.26988476173436, 10.301222201203595, 10.87581960162323, 11.530906788446053, 9.98118023615482, 4.732871861504853, 4.359173229511284, 3.612738035360464, 5.109471212467612, 2.1287142978563174, 1.6555958335794598, 0.9730095741181947, 0.0, 13.394642382544584, 10.70310531530014, 8.277979167897298, 6.386142893568951, 10.218942424935223, 5.05783324950465, 4.359173229511284, 3.3806227582177515, 4.99059011807741, 3.8436355961486854, 2.1751639203246462, 0.9364747455639633, 0.0), # 109
(13.227973101926404, 10.245179819903537, 10.851967949817103, 11.498821834742351, 9.962677183356197, 4.721957082253722, 4.3386259716506625, 3.6009564090839814, 5.099510269013869, 2.1205326931870148, 1.6490882263177586, 0.9700076809536419, 0.0, 13.367421660665297, 10.670084490490058, 8.245441131588793, 6.361598079561043, 10.199020538027739, 5.041338972717574, 4.3386259716506625, 3.372826487324087, 4.981338591678099, 3.832940611580785, 2.170393589963421, 0.9313799836275944, 0.0), # 110
(13.186442190016104, 10.189392980884113, 10.827960262345682, 11.46675801630435, 9.944219317356573, 4.711296227709192, 4.318130355846042, 3.5894948559670787, 5.089634465020577, 2.1123330137981124, 1.6426930887825626, 0.9670044401126275, 0.0, 13.340326967592594, 10.6370488412389, 8.213465443912813, 6.336999041394336, 10.179268930041154, 5.02529279835391, 4.318130355846042, 3.3652115912208513, 4.972109658678287, 3.8222526721014507, 2.1655920524691368, 0.9263084528076467, 0.0), # 111
(13.14535615196517, 10.133888260542502, 10.803801340306359, 11.434737313808373, 9.925829231555449, 4.700913196667176, 4.297693805642971, 3.5783597774729468, 5.079852762536198, 2.1041154404368063, 1.6364205101699256, 0.9640011992716131, 0.0, 13.313394311556928, 10.604013191987741, 8.182102550849628, 6.312346321310418, 10.159705525072397, 5.0097036884621255, 4.297693805642971, 3.357795140476554, 4.962914615777724, 3.8115791046027923, 2.160760268061272, 0.9212625691402275, 0.0), # 112
(13.104705913184263, 10.078784894108638, 10.779554132960747, 11.402825576616644, 9.907497301495457, 4.690826978191853, 4.277368174559739, 3.5675806651220205, 5.07019931192069, 2.095906657814456, 1.6302822447690024, 0.9610058425921835, 0.0, 13.286621461180511, 10.571064268514016, 8.151411223845011, 6.287719973443367, 10.14039862384138, 4.9946129311708285, 4.277368174559739, 3.3505906987084666, 4.953748650747729, 3.8009418588722155, 2.15591082659215, 0.9162531721916946, 0.0), # 113
(13.064073257060091, 10.024626385524439, 10.755553287525224, 11.371278892341204, 9.88903379759524, 4.681014596966087, 4.257412745887406, 3.557289901377987, 5.060822216666095, 2.0878603087694745, 1.6242903453264128, 0.9580564200798471, 0.0, 13.25978557982405, 10.538620620878318, 8.121451726632063, 6.263580926308422, 10.12164443333219, 4.980205861929182, 4.257412745887406, 3.3435818549757763, 4.94451689879762, 3.790426297447069, 2.1511106575050447, 0.9113296714113127, 0.0), # 114
(13.023338864205595, 9.97143223830991, 10.731813088158539, 11.340088730440868, 9.870380499362694, 4.671450535207326, 4.2378417551340934, 3.547484881662581, 5.051724990045435, 2.0799888647958276, 1.6184360526663222, 0.9551543846318662, 0.0, 13.232809284324528, 10.506698230950526, 8.09218026333161, 6.239966594387481, 10.10344998009087, 4.966478834327614, 4.2378417551340934, 3.336750382290947, 4.935190249681347, 3.780029576813624, 2.146362617631708, 0.9064938398463556, 0.0), # 115
(12.982451822532688, 9.919124960991017, 10.708287554981187, 11.309199457779725, 9.851509291291528, 4.662112249784464, 4.218623372269525, 3.5381385158577467, 5.042884624972988, 2.072277675457342, 1.6127080506300124, 0.9522943730401906, 0.0, 13.205650163658248, 10.475238103442095, 8.063540253150062, 6.216833026372026, 10.085769249945976, 4.953393922200846, 4.218623372269525, 3.330080178417474, 4.925754645645764, 3.7697331525932425, 2.1416575109962372, 0.9017386328173653, 0.0), # 116
(12.941361219953283, 9.867627062093726, 10.68493070811365, 11.278555441221856, 9.832392057875436, 4.652977197566394, 4.199725767263427, 3.529223713845425, 5.034278114363028, 2.0647120903178457, 1.6070950230587664, 0.949471022096771, 0.0, 13.178265806801516, 10.44418124306448, 8.035475115293831, 6.1941362709535355, 10.068556228726056, 4.940913199383595, 4.199725767263427, 3.3235551411188533, 4.916196028937718, 3.7595184804072863, 2.1369861416227303, 0.8970570056448843, 0.0), # 117
(12.900016144379297, 9.816861050144, 10.66169656767643, 11.248101047631351, 9.81300068360812, 4.644022835422014, 4.181117110085521, 3.5207133855075567, 5.025882451129837, 2.0572774589411664, 1.6015856537938657, 0.9466789685935577, 0.0, 13.150613802730636, 10.413468654529133, 8.007928268969328, 6.171832376823498, 10.051764902259674, 4.92899873971058, 4.181117110085521, 3.317159168158581, 4.90650034180406, 3.7493670158771177, 2.132339313535286, 0.8924419136494547, 0.0), # 118
(12.858365683722639, 9.766749433667803, 10.638539153790012, 11.217780643872292, 9.793307052983273, 4.635226620220214, 4.162765570705529, 3.512580440726085, 5.017674628187687, 2.0499591308911307, 1.5961686266765933, 0.9439128493225009, 0.0, 13.122651740421906, 10.383041342547507, 7.980843133382966, 6.149877392673391, 10.035349256375374, 4.91761261701652, 4.162765570705529, 3.310876157300153, 4.896653526491637, 3.7392602146240983, 2.1277078307580024, 0.8878863121516185, 0.0), # 119
(12.816358925895228, 9.717214721191104, 10.61541248657489, 11.187538596808764, 9.773283050494598, 4.626566008829889, 4.144639319093177, 3.5047977893829505, 5.009631638450861, 2.0427424557315677, 1.5908326255482306, 0.9411673010755515, 0.0, 13.094337208851638, 10.352840311831065, 7.954163127741153, 6.128227367194702, 10.019263276901722, 4.906716905136131, 4.144639319093177, 3.3046900063070637, 4.886641525247299, 3.729179532269589, 2.1230824973149782, 0.8833831564719186, 0.0), # 120
(12.773944958808976, 9.668179421239865, 10.592270586151553, 11.157319273304857, 9.75290056063579, 4.618018458119934, 4.126706525218187, 3.4973383413600962, 5.001730474833633, 2.035612783026304, 1.5855663342500608, 0.9384369606446594, 0.0, 13.065627796996127, 10.322806567091252, 7.927831671250303, 6.106838349078911, 10.003460949667266, 4.8962736779041345, 4.126706525218187, 3.29858461294281, 4.876450280317895, 3.719106424434953, 2.118454117230311, 0.878925401930897, 0.0), # 121
(12.731072870375797, 9.61956604234005, 10.569067472640498, 11.127067040224649, 9.732131467900551, 4.609561424959241, 4.108935359050283, 3.490175006539462, 4.993948130250281, 2.0285554623391677, 1.5803584366233656, 0.9357164648217753, 0.0, 13.036481093831679, 10.292881113039527, 7.901792183116827, 6.085666387017502, 9.987896260500563, 4.886245009155247, 4.108935359050283, 3.2925438749708866, 4.8660657339502755, 3.7090223467415506, 2.1138134945280997, 0.8745060038490956, 0.0), # 122
(12.687691748507607, 9.571297093017627, 10.54575716616221, 11.09672626443223, 9.71094765678258, 4.601172366216706, 4.091293990559188, 3.4832806948029904, 4.986261597615085, 2.021555843233986, 1.5751976165094272, 0.9330004503988493, 0.0, 13.0068546883346, 10.263004954387341, 7.875988082547136, 6.064667529701957, 9.97252319523017, 4.876592972724187, 4.091293990559188, 3.28655169015479, 4.85547382839129, 3.698908754810744, 2.109151433232442, 0.8701179175470571, 0.0), # 123
(12.643750681116316, 9.523295081798558, 10.522293686837184, 11.066241312791686, 9.689321011775569, 4.592828738761221, 4.073750589714624, 3.476628316032624, 4.97864786984232, 2.014599275274587, 1.5700725577495283, 0.9302835541678323, 0.0, 12.976706169481197, 10.233119095846153, 7.85036278874764, 6.04379782582376, 9.95729573968464, 4.8672796424456735, 4.073750589714624, 3.280591956258015, 4.844660505887784, 3.6887471042638964, 2.104458737367437, 0.8657540983453236, 0.0), # 124
(12.599198756113843, 9.475482517208812, 10.498631054785912, 11.0355565521671, 9.667223417373222, 4.584507999461682, 4.056273326486318, 3.4701907801103036, 4.971083939846263, 2.0076711080247973, 1.5649719441849508, 0.927560412920674, 0.0, 12.94599312624776, 10.203164542127412, 7.824859720924753, 6.023013324074391, 9.942167879692526, 4.858267092154425, 4.056273326486318, 3.2746485710440583, 4.833611708686611, 3.678518850722367, 2.0997262109571824, 0.8614075015644376, 0.0), # 125
(12.553985061412101, 9.427781907774351, 10.474723290128884, 11.004616349422557, 9.644626758069233, 4.5761876051869805, 4.038830370843989, 3.463940996917971, 4.963546800541195, 2.0007566910484456, 1.5598844596569765, 0.9248256634493257, 0.0, 12.91467314761061, 10.173082297942582, 7.799422298284883, 6.002270073145335, 9.92709360108239, 4.849517395685159, 4.038830370843989, 3.268705432276415, 4.822313379034616, 3.66820544980752, 2.094944658025777, 0.8570710825249411, 0.0), # 126
(12.508058684923006, 9.380115762021138, 10.450524412986589, 10.973365071422144, 9.621502918357304, 4.567845012806012, 4.021389892757366, 3.4578518763375685, 4.95601344484139, 1.993841373909359, 1.5547987880068885, 0.9220739425457369, 0.0, 12.88270382254604, 10.142813368003106, 7.773993940034442, 5.981524121728076, 9.91202688968278, 4.8409926268725965, 4.021389892757366, 3.26274643771858, 4.810751459178652, 3.6577883571407157, 2.090104882597318, 0.8527377965473764, 0.0), # 127
(12.461368714558466, 9.332406588475143, 10.425988443479525, 10.941747085029949, 9.597823782731137, 4.5594576791876715, 4.003920062196168, 3.451896328251037, 4.948460865661126, 1.986910506171365, 1.5497036130759692, 0.9192998870018588, 0.0, 12.850042740030352, 10.112298757020445, 7.748518065379845, 5.960731518514094, 9.896921731322252, 4.832654859551452, 4.003920062196168, 3.2567554851340508, 4.798911891365568, 3.6472490283433174, 2.085197688695905, 0.8484005989522859, 0.0), # 128
(12.413864238230394, 9.284576895662326, 10.401069401728181, 10.909706757110053, 9.573561235684425, 4.551003061200851, 3.9863890491301195, 3.446047262540319, 4.9408660559146815, 1.9799494373982915, 1.5445876187055003, 0.916498133609641, 0.0, 12.816647489039854, 10.08147946970605, 7.7229380935275005, 5.939848312194873, 9.881732111829363, 4.824466167556446, 3.9863890491301195, 3.250716472286322, 4.786780617842212, 3.636568919036685, 2.0802138803456365, 0.8440524450602116, 0.0), # 129
(12.365494343850713, 9.236549192108656, 10.375721307853043, 10.877188454526541, 9.548687161710866, 4.542458615714445, 3.968765023528944, 3.440277589087355, 4.933206008516334, 1.9729435171539655, 1.539439488736764, 0.9136633191610346, 0.0, 12.78247565855085, 10.050296510771378, 7.697197443683819, 5.9188305514618955, 9.866412017032667, 4.816388624722297, 3.968765023528944, 3.244613296938889, 4.774343580855433, 3.6257294848421813, 2.075144261570609, 0.8396862901916962, 0.0), # 130
(12.316208119331334, 9.188245986340096, 10.349898181974611, 10.8441365441435, 9.523173445304161, 4.533801799597346, 3.9510161553623666, 3.4345602177740875, 4.92545771638036, 1.9658780950022154, 1.5342479070110426, 0.9107900804479897, 0.0, 12.747484837539638, 10.018690884927885, 7.671239535055213, 5.897634285006645, 9.85091543276072, 4.808384304883723, 3.9510161553623666, 3.238429856855247, 4.761586722652081, 3.614712181381168, 2.0699796363949226, 0.8352950896672816, 0.0), # 131
(12.265954652584163, 9.139589786882611, 10.32355404421337, 10.810495392825016, 9.49699197095801, 4.525010069718451, 3.9331106146001082, 3.4288680584824593, 4.917598172421039, 1.9587385205068681, 1.5290015573696185, 0.9078730542624567, 0.0, 12.711632614982527, 9.986603596887022, 7.645007786848092, 5.876215561520603, 9.835196344842078, 4.800415281875443, 3.9331106146001082, 3.2321500497988938, 4.748495985479005, 3.6034984642750065, 2.0647108088426744, 0.8308717988075103, 0.0), # 132
(12.21468303152113, 9.090503102262165, 10.296642914689816, 10.776209367435175, 9.470114623166108, 4.516060882946651, 3.915016571211893, 3.4231740210944106, 4.909604369552646, 1.9515101432317519, 1.5236891236537742, 0.904906877396386, 0.0, 12.674876579855821, 9.953975651360244, 7.618445618268871, 5.854530429695254, 9.819208739105292, 4.792443629532175, 3.915016571211893, 3.2257577735333225, 4.735057311583054, 3.5920697891450595, 2.059328582937963, 0.8264093729329243, 0.0), # 133
(12.162342344054133, 9.040908441004726, 10.26911881352444, 10.741222834838059, 9.442513286422153, 4.5069316961508425, 3.896702195167445, 3.4174510154918845, 4.90145330068946, 1.9441783127406937, 1.518299289704792, 0.9018861866417278, 0.0, 12.637174321135817, 9.920748053059004, 7.5914964485239596, 5.83253493822208, 9.80290660137892, 4.784431421688638, 3.896702195167445, 3.21923692582203, 4.721256643211077, 3.5804076116126873, 2.053823762704888, 0.8219007673640661, 0.0), # 134
(12.108881678095097, 8.990728311636257, 10.24093576083773, 10.705480161897759, 9.414159845219846, 4.4975999661999175, 3.8781356564364877, 3.4116719515568206, 4.893121958745757, 1.9367283785975222, 1.5128207393639534, 0.898805618790433, 0.0, 12.59848342779883, 9.88686180669476, 7.5641036968197675, 5.810185135792565, 9.786243917491515, 4.776340732179549, 3.8781356564364877, 3.212571404428512, 4.707079922609923, 3.5684933872992537, 2.048187152167546, 0.817338937421478, 0.0), # 135
(12.05425012155593, 8.93988522268272, 10.212047776750177, 10.668925715478352, 9.385026184052883, 4.488043149962771, 3.8592851249887445, 3.4058097391711617, 4.884587336635816, 1.9291456903660635, 1.5072421564725416, 0.8956598106344515, 0.0, 12.558761488821151, 9.852257916978965, 7.536210782362707, 5.787437071098189, 9.769174673271632, 4.768133634839627, 3.8592851249887445, 3.205745107116265, 4.6925130920264415, 3.556308571826118, 2.042409555350036, 0.812716838425702, 0.0), # 136
(11.998396762348548, 8.888301682670086, 10.18240888138228, 10.631503862443932, 9.355084187414965, 4.478238704308296, 3.8401187707939393, 3.399837288216851, 4.875826427273916, 1.9214155976101461, 1.5015522248718383, 0.8924433989657341, 0.0, 12.517966093179089, 9.816877388623073, 7.507761124359191, 5.764246792830437, 9.751652854547832, 4.759772203503592, 3.8401187707939393, 3.1987419316487826, 4.6775420937074825, 3.543834620814645, 2.036481776276456, 0.8080274256972807, 0.0), # 137
(11.941270688384867, 8.835900200124316, 10.15197309485452, 10.593158969658578, 9.32430573979979, 4.4681640861053875, 3.8206047638217933, 3.393727508575828, 4.8668162235743315, 1.913523449893597, 1.4957396284031257, 0.889151020576231, 0.0, 12.476054829848946, 9.78066122633854, 7.478698142015627, 5.740570349680789, 9.733632447148663, 4.751218512006159, 3.8206047638217933, 3.1915457757895624, 4.662152869899895, 3.5310529898861933, 2.0303946189709046, 0.8032636545567561, 0.0), # 138
(11.882820987576796, 8.782603283571376, 10.120694437287398, 10.553835403986378, 9.292662725701055, 4.457796752222938, 3.800711274042032, 3.3874533101300353, 4.85753371845134, 1.9054545967802445, 1.4897930509076862, 0.8857773122578926, 0.0, 12.432985287807028, 9.743550434836816, 7.448965254538431, 5.716363790340733, 9.71506743690268, 4.742434634182049, 3.800711274042032, 3.184140537302099, 4.646331362850527, 3.517945134662127, 2.0241388874574797, 0.7984184803246707, 0.0), # 139
(11.822996747836257, 8.72833344153723, 10.088526928801404, 10.513477532291418, 9.26012702961246, 4.447114159529844, 3.780406471424378, 3.3809876027614147, 4.847955904819222, 1.8971943878339157, 1.4837011762268022, 0.8823169108026693, 0.0, 12.38871505602964, 9.70548601882936, 7.41850588113401, 5.691583163501746, 9.695911809638444, 4.733382643865981, 3.780406471424378, 3.176510113949888, 4.63006351480623, 3.5044925107638067, 2.017705385760281, 0.7934848583215663, 0.0), # 140
(11.761747057075162, 8.673013182547843, 10.055424589517022, 10.472029721437782, 9.226670536027703, 4.436093764894997, 3.7596585259385567, 3.374303296351908, 4.838059775592251, 1.8887281726184386, 1.477452688201756, 0.8787644530025115, 0.0, 12.34320172349308, 9.666408983027624, 7.38726344100878, 5.6661845178553145, 9.676119551184502, 4.724024614892672, 3.7596585259385567, 3.168638403496426, 4.613335268013851, 3.490676573812595, 2.0110849179034047, 0.7884557438679859, 0.0), # 141
(11.69902100320542, 8.616565015129181, 10.02134143955475, 10.429436338289557, 9.192265129440482, 4.424713025187291, 3.7384356075542886, 3.367373300783457, 4.827822323684707, 1.8800413006976404, 1.4710362706738296, 0.8751145756493696, 0.0, 12.296402879173653, 9.626260332143064, 7.355181353369148, 5.64012390209292, 9.655644647369414, 4.71432262109684, 3.7384356075542886, 3.160509303705208, 4.596132564720241, 3.4764787794298533, 2.0042682879109504, 0.7833240922844712, 0.0), # 142
(11.634767674138946, 8.558911447807208, 9.986231499035082, 10.385641749710825, 9.156882694344494, 4.412949397275621, 3.7167058862412983, 3.360170525938002, 4.817220542010869, 1.871119121635349, 1.4644406074843055, 0.8713619155351939, 0.0, 12.248276112047666, 9.584981070887132, 7.322203037421526, 5.6133573649060455, 9.634441084021738, 4.704238736313203, 3.7167058862412983, 3.1521067123397293, 4.578441347172247, 3.4618805832369426, 1.9972462998070164, 0.7780828588915646, 0.0), # 143
(11.56893615778766, 8.499974989107892, 9.950048788078501, 10.340590322565676, 9.12049511523344, 4.400780338028881, 3.6944375319693092, 3.3526678816974873, 4.806231423485011, 1.8619469849953916, 1.4576543824744654, 0.867501109451935, 0.0, 12.198779011091421, 9.542512203971285, 7.288271912372326, 5.585840954986173, 9.612462846970022, 4.693735034376482, 3.6944375319693092, 3.1434145271634857, 4.56024755761672, 3.446863440855226, 1.9900097576157, 0.7727249990098085, 0.0), # 144
(11.501475542063469, 8.439678147557194, 9.912747326805505, 10.294226423718191, 9.083074276601018, 4.388183304315964, 3.6715987147080456, 3.344838277943853, 4.794831961021412, 1.8525102403415963, 1.4506662794855925, 0.8635267941915434, 0.0, 12.14786916528122, 9.498794736106976, 7.253331397427962, 5.557530721024787, 9.589663922042824, 4.682773589121394, 3.6715987147080456, 3.1344166459399743, 4.541537138300509, 3.4314088079060645, 1.9825494653611013, 0.7672434679597451, 0.0), # 145
(11.432334914878291, 8.377943431681082, 9.874281135336586, 10.246494420032459, 9.044592062940927, 4.375135753005765, 3.6481576044272312, 3.336654624559041, 4.782999147534349, 1.8427942372377903, 1.4434649823589683, 0.8594336065459691, 0.0, 12.095504163593366, 9.453769672005658, 7.21732491179484, 5.52838271171337, 9.565998295068699, 4.671316474382658, 3.6481576044272312, 3.125096966432689, 4.522296031470463, 3.41549814001082, 1.9748562270673173, 0.7616312210619166, 0.0), # 146
(11.361463364144042, 8.314693350005518, 9.83460423379223, 10.19733867837256, 9.005020358746862, 4.361615140967176, 3.6240823710965873, 3.3280898314249927, 4.770709975938102, 1.8327843252478015, 1.4360391749358754, 0.855216183307163, 0.0, 12.041641595004167, 9.407378016378791, 7.180195874679377, 5.498352975743403, 9.541419951876204, 4.65932576399499, 3.6240823710965873, 3.1154393864051255, 4.502510179373431, 3.3991128927908543, 1.966920846758446, 0.7558812136368653, 0.0), # 147
(11.288809977772631, 8.24985041105647, 9.793670642292932, 10.146703565602587, 8.964331048512523, 4.347598925069094, 3.599341184685839, 3.3191168084236504, 4.757941439146947, 1.822465853935457, 1.428377541057596, 0.8508691612670749, 0.0, 11.986239048489919, 9.359560773937822, 7.141887705287981, 5.4673975618063695, 9.515882878293894, 4.646763531793111, 3.599341184685839, 3.105427803620781, 4.482165524256262, 3.38223452186753, 1.9587341284585866, 0.7499864010051337, 0.0), # 148
(11.214323843675977, 8.1833371233599, 9.751434380959186, 10.094533448586619, 8.922496016731612, 4.33306456218041, 3.573902215164709, 3.3097084654369557, 4.744670530075158, 1.8118241728645852, 1.4204687645654126, 0.8463871772176558, 0.0, 11.929254113026934, 9.310258949394212, 7.102343822827062, 5.4354725185937545, 9.489341060150316, 4.6335918516117385, 3.573902215164709, 3.09504611584315, 4.461248008365806, 3.3648444828622073, 1.950286876191837, 0.7439397384872637, 0.0), # 149
(11.137954049765991, 8.115075995441773, 9.707849469911476, 10.040772694188746, 8.879487147897825, 4.317989509170021, 3.5477336325029207, 3.29983771234685, 4.730874241637018, 1.8008446315990123, 1.412301529300607, 0.8417648679508558, 0.0, 11.870644377591507, 9.259413547459413, 7.061507646503035, 5.402533894797036, 9.461748483274036, 4.61977279728559, 3.5477336325029207, 3.084278220835729, 4.439743573948912, 3.3469242313962493, 1.9415698939822956, 0.7377341814037977, 0.0), # 150
(11.059649683954586, 8.044989535828057, 9.6628699292703, 9.985365669273047, 8.835276326504857, 4.302351222906816, 3.5208036066701984, 3.2894774590352758, 4.716529566746802, 1.789512579702568, 1.4038645191044614, 0.8369968702586252, 0.0, 11.810367431159946, 9.206965572844876, 7.019322595522306, 5.368537739107703, 9.433059133493604, 4.605268442649386, 3.5208036066701984, 3.0731080163620117, 4.417638163252429, 3.3284552230910167, 1.9325739858540603, 0.731362685075278, 0.0), # 151
(10.979359834153682, 7.973000253044715, 9.616449779156152, 9.928256740703617, 8.789835437046412, 4.286127160259694, 3.4930803076362653, 3.2786006153841747, 4.701613498318786, 1.7778133667390779, 1.3951464178182584, 0.8320778209329146, 0.0, 11.748380862708558, 9.15285603026206, 6.975732089091292, 5.333440100217232, 9.403226996637573, 4.590040861537845, 3.4930803076362653, 3.061519400185496, 4.394917718523206, 3.309418913567873, 1.9232899558312306, 0.7248182048222469, 0.0), # 152
(10.897033588275185, 7.899030655617714, 9.568543039689514, 9.86939027534453, 8.743136364016186, 4.269294778097547, 3.4645319053708437, 3.2671800912754865, 4.686103029267251, 1.7657323422723707, 1.3861359092832806, 0.8270023567656742, 0.0, 11.68464226121364, 9.097025924422415, 6.930679546416402, 5.297197026817111, 9.372206058534502, 4.574052127785681, 3.4645319053708437, 3.049496270069676, 4.371568182008093, 3.2897967584481775, 1.9137086079379029, 0.7180936959652467, 0.0), # 153
(10.81262003423102, 7.823003252073014, 9.519103730990887, 9.80871064005988, 8.695150991907875, 4.251831533289268, 3.43512656984366, 3.2551887965911552, 4.6699751525064706, 1.7532548558662742, 1.3768216773408095, 0.8217651145488547, 0.0, 11.6191092156515, 9.0394162600374, 6.884108386704048, 5.259764567598821, 9.339950305012941, 4.557264315227617, 3.43512656984366, 3.037022523778049, 4.347575495953937, 3.2695702133532945, 1.9038207461981775, 0.7111821138248196, 0.0), # 154
(10.72606825993309, 7.744840550936584, 9.468085873180756, 9.746162201713748, 8.645851205215184, 4.233714882703753, 3.404832471024433, 3.2425996412131215, 4.653206860950727, 1.7403662570846146, 1.3671924058321279, 0.8163607310744064, 0.0, 11.551739314998438, 8.97996804181847, 6.8359620291606396, 5.221098771253843, 9.306413721901453, 4.53963949769837, 3.404832471024433, 3.0240820590741087, 4.322925602607592, 3.2487207339045834, 1.8936171746361512, 0.7040764137215078, 0.0), # 155
(10.637327353293314, 7.664465060734389, 9.415443486379615, 9.68168932717022, 8.595208888431804, 4.214922283209894, 3.37361777888289, 3.2293855350233276, 4.635775147514292, 1.727051895491221, 1.357236778598518, 0.8107838431342794, 0.0, 11.48249014823076, 8.918622274477073, 6.7861838929925895, 5.181155686473662, 9.271550295028584, 4.521139749032659, 3.37361777888289, 3.0106587737213526, 4.297604444215902, 3.2272297757234076, 1.8830886972759233, 0.6967695509758537, 0.0), # 156
(10.546346402223609, 7.581799289992394, 9.361130590707957, 9.615236383293386, 8.543195926051439, 4.195431191676585, 3.3414506633887537, 3.215519387903715, 4.6176570051114485, 1.7132971206499201, 1.3469434794812618, 0.8050290875204243, 0.0, 11.411319304324769, 8.855319962724668, 6.734717397406309, 5.1398913619497595, 9.235314010222897, 4.501727143065201, 3.3414506633887537, 2.996736565483275, 4.2715979630257195, 3.205078794431129, 1.8722261181415913, 0.6892544809083996, 0.0), # 157
(10.450553324967336, 7.495248171657732, 9.302523946219415, 9.544258060733807, 8.48743569881293, 4.174003322325641, 3.3075747046495003, 3.200048222203801, 4.597442309412912, 1.698678070701901, 1.335972342259087, 0.7988866158226731, 0.0, 11.335080203181485, 8.787752774049402, 6.679861711295434, 5.096034212105701, 9.194884618825824, 4.480067511085322, 3.3075747046495003, 2.9814309445183147, 4.243717849406465, 3.1814193535779363, 1.8605047892438833, 0.6813861974234302, 0.0), # 158
(10.335201473769764, 7.395933826819331, 9.224527454803487, 9.454176016727876, 8.414178555796186, 4.143513212539135, 3.2677489343700015, 3.17754122744589, 4.566999388570334, 1.6807983479345614, 1.3223972849777657, 0.7911589610963629, 0.0, 11.235598705688274, 8.70274857205999, 6.611986424888827, 5.042395043803683, 9.133998777140668, 4.448557718424246, 3.2677489343700015, 2.9596522946708106, 4.207089277898093, 3.1513920055759597, 1.8449054909606977, 0.6723576206199392, 0.0), # 159
(10.198820932866035, 7.28304080162725, 9.125574450948537, 9.343506385929302, 8.321992122590341, 4.103212058438943, 3.221570623868649, 3.147432860557619, 4.525465106040038, 1.6594219781520132, 1.3060272186755595, 0.7817252273702489, 0.0, 11.110988852451014, 8.598977501072737, 6.530136093377798, 4.978265934456038, 9.050930212080075, 4.406406004780667, 3.221570623868649, 2.9308657560278157, 4.160996061295171, 3.114502128643102, 1.8251148901897079, 0.6620946183297501, 0.0), # 160
(10.042510876420344, 7.1573051140366015, 9.006721467228694, 9.213301128944565, 8.211833582663305, 4.053588080615757, 3.1693770122048135, 3.1101003109807053, 4.473387224599541, 1.6347303676098288, 1.2870063860732652, 0.77067287137255, 0.0, 10.962523662746737, 8.477401585098049, 6.435031930366326, 4.904191102829485, 8.946774449199083, 4.354140435372988, 3.1693770122048135, 2.8954200575826836, 4.105916791331652, 3.071100376314856, 1.801344293445739, 0.6506641012760548, 0.0), # 161
(9.8673704785969, 7.01946278200249, 8.86902503621808, 9.064612206380144, 8.08466011948299, 3.9951294996602726, 3.1115053384378664, 3.0659207681568685, 4.411313507026364, 1.6069049225635816, 1.2654790298916783, 0.7580893498314843, 0.0, 10.791476155852466, 8.338982848146326, 6.3273951494583915, 4.820714767690744, 8.822627014052728, 4.292289075419616, 3.1115053384378664, 2.8536639283287664, 4.042330059741495, 3.0215374021267154, 1.773805007243616, 0.6381329801820447, 0.0), # 162
(9.674498913559898, 6.870249823480022, 8.71354169049082, 8.898491578842531, 7.941428916517308, 3.928324536163185, 3.048292841627181, 3.015271421527823, 4.339791716098023, 1.5761270492688444, 1.2415893928515955, 0.7440621194752707, 0.0, 10.599119351045232, 8.184683314227977, 6.207946964257977, 4.728381147806532, 8.679583432196045, 4.221379990138953, 3.048292841627181, 2.8059460972594175, 3.970714458258654, 2.9661638596141775, 1.742708338098164, 0.6245681657709112, 0.0), # 163
(9.464995355473539, 6.710402256424303, 8.54132796262104, 8.71599120693821, 7.783097157234176, 3.853661410715189, 2.9800767608321266, 2.9585294605352903, 4.259369614592037, 1.5425781539811894, 1.2154817176738126, 0.7286786370321272, 0.0, 10.386726267602059, 8.015465007353399, 6.077408588369063, 4.627734461943566, 8.518739229184074, 4.141941244749407, 2.9800767608321266, 2.752615293367992, 3.891548578617088, 2.905330402312737, 1.7082655925242083, 0.6100365687658459, 0.0), # 164
(9.239958978502024, 6.5406560987904445, 8.353440385182864, 8.518163051273666, 7.610622025101502, 3.771628343906979, 2.9071943351120755, 2.8960720746209856, 4.1705949652859235, 1.5064396429561904, 1.1873002470791263, 0.7120263592302724, 0.0, 10.155569924799979, 7.832289951532995, 5.936501235395631, 4.51931892886857, 8.341189930571847, 4.05450090446938, 2.9071943351120755, 2.694020245647842, 3.805311012550751, 2.839387683757889, 1.670688077036573, 0.5946050998900405, 0.0), # 165
(9.000488956809557, 6.361747368533551, 8.150935490750417, 8.306059072455376, 7.4249607035872005, 3.682713556329251, 2.8299828035264003, 2.8282764532266285, 4.074015530957201, 1.4678929224494195, 1.157189223788332, 0.6941927427979253, 0.0, 9.906923341916015, 7.636120170777177, 5.78594611894166, 4.403678767348258, 8.148031061914402, 3.95958703451728, 2.8299828035264003, 2.630509683092322, 3.7124803517936003, 2.768686357485126, 1.6301870981500834, 0.5783406698666865, 0.0), # 166
(8.747684464560333, 6.174412083608727, 7.934869811897824, 8.080731231089835, 7.2270703761591815, 3.5874052685726983, 2.7487794051344725, 2.7555197857939366, 3.9701790743833865, 1.4271193987164503, 1.1252928905222266, 0.6752652444633036, 0.0, 9.642059538227196, 7.427917689096338, 5.626464452611132, 4.28135819614935, 7.940358148766773, 3.8577277001115116, 2.7487794051344725, 2.562432334694784, 3.6135351880795907, 2.693577077029946, 1.5869739623795647, 0.5613101894189753, 0.0), # 167
(8.482644675918554, 5.979386261971081, 7.706299881199207, 7.843231487783524, 7.017908226285359, 3.4861917012280164, 2.663921378995663, 2.6781792617646265, 3.8596333583419993, 1.3843004780128556, 1.0917554900016058, 0.6553313209546264, 0.0, 9.362251533010546, 7.20864453050089, 5.458777450008029, 4.152901434038566, 7.7192667166839986, 3.7494509664704774, 2.663921378995663, 2.490136929448583, 3.5089541131426794, 2.614410495927842, 1.5412599762398416, 0.5435805692700985, 0.0), # 168
(8.206468765048422, 5.777405921575724, 7.466282231228694, 7.594611803142927, 6.798431437433646, 3.3795610748859013, 2.5757459641693443, 2.5966320705804184, 3.7429261456105576, 1.339617566594208, 1.0567212649472661, 0.6344784290001119, 0.0, 9.0687723455431, 6.9792627190012295, 5.28360632473633, 4.018852699782624, 7.485852291221115, 3.635284898812586, 2.5757459641693443, 2.413972196347072, 3.399215718716823, 2.5315372677143095, 1.493256446245739, 0.5252187201432478, 0.0), # 169
(7.9202559061141375, 5.569207080377758, 7.215873394560408, 7.335924137774526, 6.569597193071951, 3.268001610137046, 2.4845903997148873, 2.5112554016830275, 3.620605198966578, 1.2932520707160806, 1.020334458080004, 0.6127940253279787, 0.0, 8.762894995101878, 6.740734278607764, 5.101672290400019, 3.879756212148241, 7.241210397933156, 3.5157575623562387, 2.4845903997148873, 2.3342868643836043, 3.2847985965359756, 2.4453080459248424, 1.4431746789120816, 0.5062915527616144, 0.0), # 170
(7.6251052732799005, 5.355525756332291, 6.956129903768475, 7.068220452284813, 6.3323626766681915, 3.152001527572146, 2.390791924691664, 2.4224264445141737, 3.4932182811875796, 1.2453853966340462, 0.9827393121206148, 0.5903655666664452, 0.0, 8.445892500963913, 6.494021233330896, 4.913696560603074, 3.736156189902138, 6.986436562375159, 3.3913970223198433, 2.390791924691664, 2.2514296625515327, 3.1661813383340958, 2.356073484094938, 1.391225980753695, 0.4868659778483902, 0.0), # 171
(7.322116040709912, 5.137097967394431, 6.688108291427019, 6.792552707280267, 6.087685071690277, 3.0320490477818964, 2.2946877781590462, 2.3305223885155746, 3.3613131550510804, 1.1961989506036783, 0.9440800697898953, 0.56728050974373, 0.0, 8.119037882406225, 6.24008560718103, 4.720400348949476, 3.588596851811034, 6.722626310102161, 3.2627313439218044, 2.2946877781590462, 2.165749319844212, 3.0438425358451386, 2.2641842357600894, 1.337621658285404, 0.4670089061267665, 0.0), # 172
(7.012387382568372, 4.914659731519285, 6.412865090110164, 6.509972863367375, 5.836521561606121, 2.9086323913569916, 2.196615199176405, 2.235920423128947, 3.225437583334597, 1.145874138880549, 0.9045009738086416, 0.5436263112880514, 0.0, 7.783604158705848, 5.979889424168563, 4.522504869043208, 3.437622416641646, 6.450875166669194, 3.130288592380526, 2.196615199176405, 2.077594565254994, 2.9182607808030605, 2.169990954455792, 1.282573018022033, 0.446787248319935, 0.0), # 173
(6.697018473019482, 4.6889470666619575, 6.131456832392036, 6.221532881152618, 5.579829329883635, 2.7822397788881266, 2.096911426803113, 2.1389977377960108, 3.08613932881565, 1.0945923677202316, 0.8641462668976501, 0.519490428027628, 0.0, 7.440864349139807, 5.7143947083039075, 4.32073133448825, 3.283777103160694, 6.1722786576313, 2.994596832914415, 2.096911426803113, 1.9873141277772333, 2.7899146649418176, 2.07384429371754, 1.2262913664784072, 0.42626791515108714, 0.0), # 174
(6.377108486227438, 4.460695990777558, 5.84494005084676, 5.928284721242486, 5.318565559990731, 2.653359430965997, 1.9959137000985407, 2.040131521958481, 2.943966154271756, 1.0425350433782987, 0.8231601917777163, 0.49496031669067847, 0.0, 7.092091472985131, 5.444563483597462, 4.115800958888581, 3.1276051301348957, 5.887932308543512, 2.8561841307418736, 1.9959137000985407, 1.8952567364042836, 2.6592827799953653, 1.9760949070808291, 1.1689880101693522, 0.40551781734341447, 0.0), # 175
(6.053756596356447, 4.230642521821194, 5.554371278048459, 5.631280344243462, 5.053687435395322, 2.5224795681812964, 1.8939592581220606, 1.9396989650580787, 2.7994658224804327, 0.9898835721103237, 0.781686991169637, 0.470123434005421, 0.0, 6.738558549518844, 5.17135777405963, 3.9084349558481852, 2.9696507163309707, 5.5989316449608655, 2.71557855108131, 1.8939592581220606, 1.8017711201294973, 2.526843717697661, 1.8770934480811543, 1.1108742556096918, 0.38460386562010856, 0.0), # 176
(5.7280619775707065, 3.9995226777479713, 5.260807046571258, 5.331571710762027, 4.786152139565322, 2.3900884111247205, 1.791385339933044, 1.8380772565365193, 2.6531860962191995, 0.9368193601718788, 0.7398709077942084, 0.4450672367000743, 0.0, 6.381538598017975, 4.895739603700816, 3.699354538971042, 2.8104580805156356, 5.306372192438399, 2.5733081591511273, 1.791385339933044, 1.707206007946229, 2.393076069782661, 1.7771905702540096, 1.0521614093142517, 0.3635929707043611, 0.0), # 177
(5.401123804034416, 3.7680724765129963, 4.9653038889892835, 5.030210781404673, 4.516916855968639, 2.2566741803869648, 1.6885291845908623, 1.7356435858355217, 2.505674738265573, 0.8835238138185378, 0.6978561843722264, 0.41987918150285664, 0.0, 6.022304637759553, 4.618670996531422, 3.489280921861132, 2.6505714414556127, 5.011349476531146, 2.4299010201697304, 1.6885291845908623, 1.611910128847832, 2.2584584279843196, 1.6767369271348913, 0.9930607777978567, 0.34255204331936334, 0.0), # 178
(0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0), # 179
)
passenger_allighting_rate = (
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 0
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 1
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 2
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 3
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 4
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 5
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 6
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 7
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 8
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 9
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 10
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 11
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 12
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 13
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 14
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 15
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 16
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 17
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 18
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 19
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 20
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 21
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 22
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 23
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 24
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 25
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 26
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 27
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 28
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 29
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 30
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 31
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 32
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 33
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 34
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 35
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 36
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 37
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 38
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 39
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 40
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 41
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 42
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 43
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 44
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 45
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 46
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 47
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 48
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 49
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 50
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 51
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 52
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 53
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 54
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 55
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 56
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 57
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 58
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 59
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 60
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 61
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 62
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 63
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 64
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 65
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 66
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 67
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 68
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 69
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 70
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 71
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 72
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 73
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 74
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 75
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 76
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 77
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 78
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 79
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 80
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 81
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 82
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 83
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 84
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 85
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 86
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 87
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 88
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 89
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 90
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 91
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 92
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 93
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 94
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 95
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 96
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 97
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 98
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 99
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 100
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 101
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 102
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 103
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 104
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 105
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 106
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 107
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 108
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 109
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 110
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 111
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 112
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(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 118
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(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 120
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 121
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 122
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(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 125
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 126
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(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 171
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 172
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 173
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 174
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 175
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 176
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 177
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 178
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 179
)
"""
parameters for reproducibiliy. More information: https://numpy.org/doc/stable/reference/random/parallel.html
"""
#initial entropy
entropy = 8991598675325360468762009371570610170
#index for seed sequence child
child_seed_index = (
1, # 0
70, # 1
)
| 278.962567 | 492 | 0.77179 | 32,987 | 260,830 | 6.102252 | 0.22712 | 0.354107 | 0.3398 | 0.643831 | 0.367207 | 0.361097 | 0.359929 | 0.359612 | 0.359532 | 0.359532 | 0 | 0.851416 | 0.094828 | 260,830 | 934 | 493 | 279.261242 | 0.001182 | 0.015378 | 0 | 0.200873 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.005459 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
e7061df923a2202dde12cd9c135dba5a5ad0d8a3 | 43 | py | Python | app/usecase/__init__.py | wax911/anime-meta | 5a707a75b277a9c0dc5b9d9447cea44a73d2f83c | [
"Apache-2.0"
] | 2 | 2021-04-08T19:55:02.000Z | 2021-04-08T19:57:07.000Z | app/usecase/__init__.py | wax911/anime-meta | 5a707a75b277a9c0dc5b9d9447cea44a73d2f83c | [
"Apache-2.0"
] | null | null | null | app/usecase/__init__.py | wax911/anime-meta | 5a707a75b277a9c0dc5b9d9447cea44a73d2f83c | [
"Apache-2.0"
] | null | null | null | from .interactors import ServiceInteractor
| 21.5 | 42 | 0.883721 | 4 | 43 | 9.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.093023 | 43 | 1 | 43 | 43 | 0.974359 | 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 |
e709caab4f3b3907930183ea4c6f3039dd6e9645 | 112 | py | Python | generator.py | Marma92/nodeprojectsampler | fd3078ec2c1e870b146e19acd75a7b106872dcc2 | [
"MIT"
] | null | null | null | generator.py | Marma92/nodeprojectsampler | fd3078ec2c1e870b146e19acd75a7b106872dcc2 | [
"MIT"
] | null | null | null | generator.py | Marma92/nodeprojectsampler | fd3078ec2c1e870b146e19acd75a7b106872dcc2 | [
"MIT"
] | null | null | null | #This file will contain the main, will ask you to do some choices to generate a project that fits to your needs
| 56 | 111 | 0.785714 | 22 | 112 | 4 | 0.863636 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.196429 | 112 | 1 | 112 | 112 | 0.977778 | 0.982143 | 0 | null | 1 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
e7196d85b15a1e5e7dc07bf761748f5a8923aac2 | 38 | py | Python | alarme/extras/common/__init__.py | insolite/alarme | 2312e88299a07d47435f475e5617213404e6d365 | [
"MIT"
] | null | null | null | alarme/extras/common/__init__.py | insolite/alarme | 2312e88299a07d47435f475e5617213404e6d365 | [
"MIT"
] | 1 | 2017-02-04T13:03:05.000Z | 2017-02-04T13:03:05.000Z | alarme/extras/common/__init__.py | insolite/alarme | 2312e88299a07d47435f475e5617213404e6d365 | [
"MIT"
] | null | null | null | from .rf_device import SingleRFDevice
| 19 | 37 | 0.868421 | 5 | 38 | 6.4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.105263 | 38 | 1 | 38 | 38 | 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 |
e74e945e467760bfe7fb71f2868ce3ee7467e3f9 | 96 | py | Python | venv/lib/python3.8/site-packages/urllib3/contrib/socks.py | GiulianaPola/select_repeats | 17a0d053d4f874e42cf654dd142168c2ec8fbd11 | [
"MIT"
] | 2 | 2022-03-13T01:58:52.000Z | 2022-03-31T06:07:54.000Z | venv/lib/python3.8/site-packages/urllib3/contrib/socks.py | DesmoSearch/Desmobot | b70b45df3485351f471080deb5c785c4bc5c4beb | [
"MIT"
] | 19 | 2021-11-20T04:09:18.000Z | 2022-03-23T15:05:55.000Z | venv/lib/python3.8/site-packages/urllib3/contrib/socks.py | DesmoSearch/Desmobot | b70b45df3485351f471080deb5c785c4bc5c4beb | [
"MIT"
] | null | null | null | /home/runner/.cache/pip/pool/69/18/bd/7965e8f5911bf795d4c5e7f8676d421659e78db122028f473ac7a832de | 96 | 96 | 0.895833 | 9 | 96 | 9.555556 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.458333 | 0 | 96 | 1 | 96 | 96 | 0.4375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
99feffd7d63af6168eb35f8696b55508c677414c | 57 | py | Python | app/domain/repository/interfaces/abstract_repository.py | dmaiabjj/luiza-lab-api-challenger | 8f55ebbdd49a170ca3fdf38da229d29bd0548adf | [
"MIT"
] | null | null | null | app/domain/repository/interfaces/abstract_repository.py | dmaiabjj/luiza-lab-api-challenger | 8f55ebbdd49a170ca3fdf38da229d29bd0548adf | [
"MIT"
] | null | null | null | app/domain/repository/interfaces/abstract_repository.py | dmaiabjj/luiza-lab-api-challenger | 8f55ebbdd49a170ca3fdf38da229d29bd0548adf | [
"MIT"
] | null | null | null | import abc
class AbstractRepository(abc.ABC):
pass
| 9.5 | 34 | 0.736842 | 7 | 57 | 6 | 0.714286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.192982 | 57 | 5 | 35 | 11.4 | 0.913043 | 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 |
414b1df260be41cbdaf327357a459e988ca5ce6f | 297 | py | Python | src/builtins/iostream.py | macaquedev/cobralang | af070ee96cf94970d97a413798e3e9e022749c20 | [
"MIT"
] | null | null | null | src/builtins/iostream.py | macaquedev/cobralang | af070ee96cf94970d97a413798e3e9e022749c20 | [
"MIT"
] | null | null | null | src/builtins/iostream.py | macaquedev/cobralang | af070ee96cf94970d97a413798e3e9e022749c20 | [
"MIT"
] | null | null | null | from ..interpreter.interpreter import RTResult, Number, String
def cb_print(symbol_table):
print(str(symbol_table.get("value")))
return symbol_table.get("null")
def cb_input(symbol_table):
print(symbol_table.get("prompt"))
return String(input(str(symbol_table.get("prompt"))))
| 24.75 | 62 | 0.734007 | 41 | 297 | 5.121951 | 0.439024 | 0.314286 | 0.266667 | 0.161905 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.121212 | 297 | 11 | 63 | 27 | 0.804598 | 0 | 0 | 0 | 0 | 0 | 0.070707 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.285714 | false | 0 | 0.142857 | 0 | 0.714286 | 0.428571 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 6 |
ec0691cc330d5060f6d761e7a31e0b2cdf83c86b | 52,512 | py | Python | test/test_generator.py | gabrielmacedoanac/kgextension | 0551ca278bc3de5c39baf663467be3220ad20edd | [
"MIT"
] | 67 | 2021-01-17T20:12:44.000Z | 2022-03-07T06:57:01.000Z | test/test_generator.py | gabrielmacedoanac/kgextension | 0551ca278bc3de5c39baf663467be3220ad20edd | [
"MIT"
] | null | null | null | test/test_generator.py | gabrielmacedoanac/kgextension | 0551ca278bc3de5c39baf663467be3220ad20edd | [
"MIT"
] | 3 | 2021-04-17T09:19:31.000Z | 2021-10-03T21:29:56.000Z | import pandas as pd
import numpy as np
import networkx as nx
import pytest
from kgextension.endpoints import EUOpenData, DBpedia
from kgextension.generator import (
specific_relation_generator,
direct_type_generator,
unqualified_relation_generator,
qualified_relation_generator,
custom_sparql_generator,
data_properties_generator
)
class TestDirectTypeGenerator:
def test1_dbpedia_boolean(self):
df = pd.DataFrame({
"label": ["Explorair", "Rhein-Flugzeugbau", "Buxton Watermill"],
"uri": ["http://dbpedia.org/resource/Explorair", "http://dbpedia.org/resource/Rhein-Flugzeugbau", "http://dbpedia.org/resource/Buxton_Watermill"]
})
expected_result_df = pd.DataFrame({
"label": ["Explorair", "Rhein-Flugzeugbau", "Buxton Watermill"],
"uri": ["http://dbpedia.org/resource/Explorair", "http://dbpedia.org/resource/Rhein-Flugzeugbau", "http://dbpedia.org/resource/Buxton_Watermill"],
"uri_type_http://www.w3.org/2002/07/owl#Thing": [True, True, True],
"uri_type_http://dbpedia.org/ontology/Company": [True, True, False],
"uri_type_http://www.ontologydesignpatterns.org/ont/dul/DUL.owl#Agent": [True, True, False],
"uri_type_http://www.ontologydesignpatterns.org/ont/dul/DUL.owl#SocialPerson": [True, True, False],
"uri_type_http://www.wikidata.org/entity/Q24229398": [True, True, False],
"uri_type_http://www.wikidata.org/entity/Q43229": [True, True, False],
"uri_type_http://dbpedia.org/ontology/Agent": [True, True, False],
"uri_type_http://dbpedia.org/ontology/Organisation": [True, True, False],
"uri_type_http://schema.org/Organization": [True, True, False],
"uri_type_http://dbpedia.org/ontology/Place": [False, False, True],
"uri_type_http://dbpedia.org/ontology/Location": [False, False, True],
"uri_type_http://www.w3.org/2003/01/geo/wgs84_pos#SpatialThing": [False, False, True],
"uri_type_http://schema.org/Place": [False, False, True]
})
result = direct_type_generator(df, "uri", result_type = "boolean", bundled_mode=True)
pd.testing.assert_frame_equal(result, expected_result_df, check_like = True)
def test2_dbpedia_boolean_unbundled_multiplefilter(self):
df = pd.DataFrame({
"label": ["Explorair", "Rhein-Flugzeugbau", "Buxton Watermill"],
"uri": ["http://dbpedia.org/resource/Explorair", "http://dbpedia.org/resource/Rhein-Flugzeugbau", "http://dbpedia.org/resource/Buxton_Watermill"]
})
expected_result_df = pd.DataFrame({
"label": ["Explorair", "Rhein-Flugzeugbau", "Buxton Watermill"],
"uri": ["http://dbpedia.org/resource/Explorair", "http://dbpedia.org/resource/Rhein-Flugzeugbau", "http://dbpedia.org/resource/Buxton_Watermill"],
"uri_type_http://www.w3.org/2002/07/owl#Thing": [True, True, True],
"uri_type_http://schema.org/Organization": [True, True, False],
"uri_type_http://www.w3.org/2003/01/geo/wgs84_pos#SpatialThing": [False, False, True],
"uri_type_http://schema.org/Place": [False, False, True]
})
result = direct_type_generator(df, ["uri"], result_type = "boolean", bundled_mode=False, regex_filter=["w3.org", "schema.org"])
pd.testing.assert_frame_equal(result, expected_result_df, check_like = True)
def test3_dbpedia_boolean_brokenlink(self):
df = pd.DataFrame({
"label": ["Explorair", "Rhein-Flugzeugbau", "Buxton Watermill"],
"uri": ["http://dbpedia.org/resource/Explorair", "http://dbpedia.org/resource/Rhein-Flugzeugbau", "http://dbpedia.org/resource/Buxton_WatermillXX"]
})
expected_result_df = pd.DataFrame({
"label": ["Explorair", "Rhein-Flugzeugbau", "Buxton Watermill"],
"uri": ["http://dbpedia.org/resource/Explorair", "http://dbpedia.org/resource/Rhein-Flugzeugbau", "http://dbpedia.org/resource/Buxton_WatermillXX"],
"uri_type_http://www.w3.org/2002/07/owl#Thing": [True, True, False],
"uri_type_http://dbpedia.org/ontology/Company": [True, True, False],
"uri_type_http://www.ontologydesignpatterns.org/ont/dul/DUL.owl#Agent": [True, True, False],
"uri_type_http://www.ontologydesignpatterns.org/ont/dul/DUL.owl#SocialPerson": [True, True, False],
"uri_type_http://www.wikidata.org/entity/Q24229398": [True, True, False],
"uri_type_http://www.wikidata.org/entity/Q43229": [True, True, False],
"uri_type_http://dbpedia.org/ontology/Agent": [True, True, False],
"uri_type_http://dbpedia.org/ontology/Organisation": [True, True, False],
"uri_type_http://schema.org/Organization": [True, True, False]
})
result = direct_type_generator(df, ["uri"], result_type = "boolean", bundled_mode=True)
pd.testing.assert_frame_equal(result, expected_result_df, check_like = True)
def test4_dbpedia_boolean_unbundled_brokenlink_nofill(self):
df = pd.DataFrame({
"label": ["Explorair", "Rhein-Flugzeugbau", "Buxton Watermill"],
"uri": ["http://dbpedia.org/resource/Explorair", "http://dbpedia.org/resource/Rhein-Flugzeugbau", "http://dbpedia.org/resource/Buxton_WatermillXX"]
})
expected_result_df = pd.DataFrame({
"label": ["Explorair", "Rhein-Flugzeugbau", "Buxton Watermill"],
"uri": ["http://dbpedia.org/resource/Explorair", "http://dbpedia.org/resource/Rhein-Flugzeugbau", "http://dbpedia.org/resource/Buxton_WatermillXX"],
"uri_type_http://www.w3.org/2002/07/owl#Thing": [True, True, False],
"uri_type_http://dbpedia.org/ontology/Company": [True, True, False],
"uri_type_http://www.ontologydesignpatterns.org/ont/dul/DUL.owl#Agent": [True, True, False],
"uri_type_http://www.ontologydesignpatterns.org/ont/dul/DUL.owl#SocialPerson": [True, True, False],
"uri_type_http://www.wikidata.org/entity/Q24229398": [True, True, False],
"uri_type_http://www.wikidata.org/entity/Q43229": [True, True, False],
"uri_type_http://dbpedia.org/ontology/Agent": [True, True, False],
"uri_type_http://dbpedia.org/ontology/Organisation": [True, True, False],
"uri_type_http://schema.org/Organization": [True, True, False]
})
result = direct_type_generator(df, ["uri"], result_type = "boolean", bundled_mode=True)
pd.testing.assert_frame_equal(result, expected_result_df, check_like = True)
def test5_dbpedia_boolean_multipleinputs_brokenlink_missing(self):
df = pd.DataFrame({
"label": ["Explorair", "Rhein-Flugzeugbau", "Buxton Watermill"],
"uri1": ["http://dbpedia.org/resource/Explorair", "http://dbpedia.org/resource/Rhein-Flugzeugbau", "http://dbpedia.org/resource/Buxton_WatermillXX"],
"uri2": [np.nan, "http://dbpedia.org/resource/Rhein-Flugzeugbau", "http://dbpedia.org/resource/Buxton_Watermill"]
})
expected_result_df = pd.DataFrame({
"label": ["Explorair", "Rhein-Flugzeugbau", "Buxton Watermill"],
"uri1": ["http://dbpedia.org/resource/Explorair", "http://dbpedia.org/resource/Rhein-Flugzeugbau", "http://dbpedia.org/resource/Buxton_WatermillXX"],
"uri2": [np.nan, "http://dbpedia.org/resource/Rhein-Flugzeugbau", "http://dbpedia.org/resource/Buxton_Watermill"],
"type_http://www.w3.org/2002/07/owl#Thing": [True, True, True],
"type_http://dbpedia.org/ontology/Company": [True, True, False],
"type_http://www.ontologydesignpatterns.org/ont/dul/DUL.owl#Agent": [True, True, False],
"type_http://www.ontologydesignpatterns.org/ont/dul/DUL.owl#SocialPerson": [True, True, False],
"type_http://www.wikidata.org/entity/Q24229398": [True, True, False],
"type_http://www.wikidata.org/entity/Q43229": [True, True, False],
"type_http://dbpedia.org/ontology/Agent": [True, True, False],
"type_http://dbpedia.org/ontology/Organisation": [True, True, False],
"type_http://schema.org/Organization": [True, True, False],
"type_http://dbpedia.org/ontology/Location": [False, False, True],
"type_http://dbpedia.org/ontology/Place": [False, False, True],
"type_http://schema.org/Place": [False, False, True],
"type_http://www.w3.org/2003/01/geo/wgs84_pos#SpatialThing": [False, False, True]
})
result = direct_type_generator(df, ["uri1", "uri2"], result_type = "boolean", bundled_mode=True, endpoint=DBpedia)
pd.testing.assert_frame_equal(result, expected_result_df, check_like = True)
def test6_dbpedia_boolean_multipleinputs_brokenlink_missing_uridatamodel(self):
df = pd.DataFrame({
"label": ["Explorair", "Rhein-Flugzeugbau", "Buxton Watermill"],
"uri1": ["http://dbpedia.org/resource/Explorair", "http://dbpedia.org/resource/Rhein-Flugzeugbau", "http://dbpedia.org/resource/Buxton_WatermillXX"],
"uri2": [np.nan, "http://dbpedia.org/resource/Rhein-Flugzeugbau", "http://dbpedia.org/resource/Buxton_Watermill"]
})
expected_result_df = pd.DataFrame({
"label": ["Explorair", "Rhein-Flugzeugbau", "Buxton Watermill"],
"uri1": ["http://dbpedia.org/resource/Explorair", "http://dbpedia.org/resource/Rhein-Flugzeugbau", "http://dbpedia.org/resource/Buxton_WatermillXX"],
"uri2": [np.nan, "http://dbpedia.org/resource/Rhein-Flugzeugbau", "http://dbpedia.org/resource/Buxton_Watermill"],
"type_http://www.w3.org/2002/07/owl#Thing": [True, True, True],
"type_http://dbpedia.org/ontology/Company": [True, True, False],
"type_http://www.ontologydesignpatterns.org/ont/dul/DUL.owl#Agent": [True, True, False],
"type_http://www.ontologydesignpatterns.org/ont/dul/DUL.owl#SocialPerson": [True, True, False],
"type_http://www.wikidata.org/entity/Q24229398": [True, True, False],
"type_http://www.wikidata.org/entity/Q43229": [True, True, False],
"type_http://dbpedia.org/ontology/Agent": [True, True, False],
"type_http://dbpedia.org/ontology/Organisation": [True, True, False],
"type_http://schema.org/Organization": [True, True, False],
"type_http://dbpedia.org/ontology/Location": [False, False, True],
"type_http://dbpedia.org/ontology/Place": [False, False, True],
"type_http://schema.org/Place": [False, False, True],
"type_http://www.w3.org/2003/01/geo/wgs84_pos#SpatialThing": [False, False, True]
})
result = direct_type_generator(df, ["uri1", "uri2"], result_type = "boolean", bundled_mode=True, uri_data_model=True)
pd.testing.assert_frame_equal(result, expected_result_df, check_like = True)
def test7_eurostat_boolean(self):
df = pd.DataFrame({
"label": ["Element 1", "Element 2", "Element 3"],
"uri": ["http://data.europa.eu/4rx/ABB2018/SEC301_01_01", "http://data.europa.eu/4rx/ABB2018/SEC301_01_02_01", "http://data.europa.eu/4rx/ABB2018/SEC301_02_77_01"]
})
expected_result_df = pd.DataFrame({
"label": ["Element 1", "Element 2", "Element 3"],
"uri": ["http://data.europa.eu/4rx/ABB2018/SEC301_01_01", "http://data.europa.eu/4rx/ABB2018/SEC301_01_02_01", "http://data.europa.eu/4rx/ABB2018/SEC301_02_77_01"],
"uri_type_http://data.europa.eu/bud#Article": [True, False, False],
"uri_type_http://data.europa.eu/3rx#Article": [True, False, False],
"uri_type_http://data.europa.eu/bud#Item": [False, True, True],
"uri_type_http://data.europa.eu/3rx#Item": [False, True, True]
})
result = direct_type_generator(df, ["uri"], result_type = "boolean", bundled_mode=True, endpoint=EUOpenData)
pd.testing.assert_frame_equal(result, expected_result_df, check_like = True)
def test8_eurostat_count_multipleinputs(self):
df = pd.DataFrame({
"label": ["Element 1", "Element 2", "Element 3"],
"uri1": ["http://data.europa.eu/4rx/ABB2018/SEC301_01_01", "http://data.europa.eu/4rx/ABB2018/SEC301_01_02_01", "http://data.europa.eu/4rx/ABB2018/SEC301_02_77_01"],
"uri2": ["http://data.europa.eu/4rx/ABB2018/SEC301_03_02", "http://data.europa.eu/4rx/ABB2018/SEC301_02", "http://data.europa.eu/4rx/ABB2018/SEC301_01_03"]
})
expected_result_df = pd.DataFrame({
"label": ["Element 1", "Element 2", "Element 3"],
"uri1": ["http://data.europa.eu/4rx/ABB2018/SEC301_01_01", "http://data.europa.eu/4rx/ABB2018/SEC301_01_02_01", "http://data.europa.eu/4rx/ABB2018/SEC301_02_77_01"],
"uri2": ["http://data.europa.eu/4rx/ABB2018/SEC301_03_02", "http://data.europa.eu/4rx/ABB2018/SEC301_02", "http://data.europa.eu/4rx/ABB2018/SEC301_01_03"],
"type_http://data.europa.eu/bud#Article": [2, 0, 1],
"type_http://data.europa.eu/3rx#Article": [2, 0, 1],
"type_http://data.europa.eu/bud#Item": [0, 1, 1],
"type_http://data.europa.eu/3rx#Item": [0, 1, 1],
"type_http://data.europa.eu/bud#Chapter": [0, 1, 0],
"type_http://data.europa.eu/3rx#Chapter": [0, 1, 0]
})
result = direct_type_generator(df, ["uri1","uri2"], result_type = "count", bundled_mode=True, endpoint=EUOpenData)
pd.testing.assert_frame_equal(result, expected_result_df, check_like = True)
def test9_eurostat_boolean_multipleinputs(self):
df = pd.DataFrame({
"label": ["Element 1", "Element 2", "Element 3"],
"uri1": ["http://data.europa.eu/4rx/ABB2018/SEC301_01_01", "http://data.europa.eu/4rx/ABB2018/SEC301_01_02_01", "http://data.europa.eu/4rx/ABB2018/SEC301_02_77_01"],
"uri2": ["http://data.europa.eu/4rx/ABB2018/SEC301_03_02", "http://data.europa.eu/4rx/ABB2018/SEC301_02", "http://data.europa.eu/4rx/ABB2018/SEC301_01_03"]
})
expected_result_df = pd.DataFrame({
"label": ["Element 1", "Element 2", "Element 3"],
"uri1": ["http://data.europa.eu/4rx/ABB2018/SEC301_01_01", "http://data.europa.eu/4rx/ABB2018/SEC301_01_02_01", "http://data.europa.eu/4rx/ABB2018/SEC301_02_77_01"],
"uri2": ["http://data.europa.eu/4rx/ABB2018/SEC301_03_02", "http://data.europa.eu/4rx/ABB2018/SEC301_02", "http://data.europa.eu/4rx/ABB2018/SEC301_01_03"],
"type_http://data.europa.eu/bud#Article": [True, False, True],
"type_http://data.europa.eu/3rx#Article": [True, False, True],
"type_http://data.europa.eu/bud#Item": [False, True, True],
"type_http://data.europa.eu/3rx#Item": [False, True, True],
"type_http://data.europa.eu/bud#Chapter": [False, True, False],
"type_http://data.europa.eu/3rx#Chapter": [False, True, False]
})
result = direct_type_generator(df, ["uri1","uri2"], result_type = "boolean", bundled_mode=True, endpoint=EUOpenData)
pd.testing.assert_frame_equal(result, expected_result_df, check_like = True)
def test10_hierarchy(self):
df = pd.DataFrame({
"label": ["Explorair", "Rhein-Flugzeugbau", "Buxton Watermill"],
"uri": ["http://dbpedia.org/resource/Explorair", "http://dbpedia.org/resource/Rhein-Flugzeugbau", "http://dbpedia.org/resource/Buxton_Watermill"]
})
expected_nodes = ["http://dbpedia.org/ontology/Agent", "http://dbpedia.org/ontology/Company",
"http://dbpedia.org/ontology/Location", "http://dbpedia.org/ontology/Organisation",
"http://dbpedia.org/ontology/Place", "http://schema.org/Organization",
"http://schema.org/Place", "http://www.ontologydesignpatterns.org/ont/dul/DUL.owl#Agent",
"http://www.ontologydesignpatterns.org/ont/dul/DUL.owl#SocialPerson", "http://www.w3.org/2002/07/owl#Thing",
"http://www.w3.org/2003/01/geo/wgs84_pos#SpatialThing", "http://www.wikidata.org/entity/Q24229398",
"http://www.wikidata.org/entity/Q43229", 'http://umbel.org/umbel/rc/Agent-Generic',
'http://purl.org/goodrelations/v1#BusinessEntity',
'http://umbel.org/umbel/rc/Business','http://umbel.org/umbel/rc/Organization',
'http://www.openlinksw.com/virtpivot/icons/Business','http://www.openlinksw.com/virtpivot/icons/Organization',
'http://www.w3.org/2002/07/owl#Thing','http://xmlns.com/foaf/0.1/Organization',
'http://umbel.org/umbel/rc/Place','http://www.wikidata.org/entity/Q874405']
expected_edges = [('http://dbpedia.org/ontology/Company','http://purl.org/goodrelations/v1#BusinessEntity'),
('http://dbpedia.org/ontology/Company','http://dbpedia.org/ontology/Organisation'),
('http://dbpedia.org/ontology/Company', 'http://umbel.org/umbel/rc/Business'),
('http://purl.org/goodrelations/v1#BusinessEntity','http://xmlns.com/foaf/0.1/Organization'),
('http://purl.org/goodrelations/v1#BusinessEntity','http://www.openlinksw.com/virtpivot/icons/Business'),
('http://dbpedia.org/ontology/Organisation','http://dbpedia.org/ontology/Agent'),
('http://dbpedia.org/ontology/Organisation','http://umbel.org/umbel/rc/Organization'),
('http://dbpedia.org/ontology/Place',"http://www.w3.org/2002/07/owl#Thing"),
('http://dbpedia.org/ontology/Place','http://umbel.org/umbel/rc/Place'),
('http://www.wikidata.org/entity/Q43229','http://www.wikidata.org/entity/Q874405'),
('http://dbpedia.org/ontology/Agent', 'http://www.w3.org/2002/07/owl#Thing'),
('http://dbpedia.org/ontology/Agent','http://umbel.org/umbel/rc/Agent-Generic'),
('http://xmlns.com/foaf/0.1/Organization', 'http://www.openlinksw.com/virtpivot/icons/Organization')]
expectedGraph = nx.DiGraph()
expectedGraph.add_nodes_from(expected_nodes)
expectedGraph.add_edges_from(expected_edges)
result = direct_type_generator(df, ["uri"], result_type = "boolean", bundled_mode=False, hierarchy = True)
outputhierarchyGraph = result.attrs['hierarchy']
assert nx.is_isomorphic(expectedGraph, outputhierarchyGraph)
class TestSpecificRelationGenerator:
def test1_dbpedia_direct_relation_one_col(self):
input = pd.DataFrame({
'a':[0, 1],
'new_link': ['http://dbpedia.org/resource/Stuttgart',
'http://dbpedia.org/resource/Tübingen']
})
path_expected = "test/data/generator/srg_1_expected.csv"
expected = pd.read_csv(path_expected)
output = specific_relation_generator(input, 'new_link')
expected = expected.apply(lambda x: x.astype('object'))
output = output.apply(lambda x: x.astype('object'))
pd.testing.assert_frame_equal(output, expected, check_like = True)
def test2_dbpedia_direct_relation_two_cols(self):
input = pd.DataFrame({
'a':['http://dbpedia.org/resource/Boris_Palmer', 'http://dbpedia.org/resource/Patrick_Schmollinger'],
'b': ['http://dbpedia.org/resource/13', 'http://dbpedia.org/resource/753']
})
path_expected = "test/data/generator/srg_2_expected.csv"
expected = pd.read_csv(path_expected)
output = specific_relation_generator(input, ['a', 'b'])
expected = expected.apply(lambda x: x.astype('object'))
output = output.apply(lambda x: x.astype('object'))
pd.testing.assert_frame_equal(output, expected, check_like = True)
def test3_dbpedia_hierarchy_relation_depth_1(self):
input = pd.DataFrame({
'a': ['http://dbpedia.org/resource/1913', 'http://dbpedia.org/resource/2020']
})
expected_nodes = ['http://dbpedia.org/resource/Category:1913', 'http://dbpedia.org/resource/Category:2020',
'http://dbpedia.org/resource/Category:1910s', 'http://dbpedia.org/resource/Category:Years',
'http://dbpedia.org/resource/Category:2020s', 'http://dbpedia.org/resource/Category:Years_in_the_future']
expected_edges = [('http://dbpedia.org/resource/Category:1913','http://dbpedia.org/resource/Category:1910s'),
('http://dbpedia.org/resource/Category:1913','http://dbpedia.org/resource/Category:Years'),
('http://dbpedia.org/resource/Category:2020', 'http://dbpedia.org/resource/Category:2020s'),
('http://dbpedia.org/resource/Category:2020','http://dbpedia.org/resource/Category:Years'),
('http://dbpedia.org/resource/Category:2020','http://dbpedia.org/resource/Category:Years_in_the_future')]
expectedGraph = nx.DiGraph()
expectedGraph.add_nodes_from(expected_nodes)
expectedGraph.add_edges_from(expected_edges)
output = specific_relation_generator(input, 'a',
hierarchy_relation='http://www.w3.org/2004/02/skos/core#broader', max_hierarchy_depth=1)
outputhierarchyGraph = output.attrs['hierarchy']
assert nx.is_isomorphic(expectedGraph, outputhierarchyGraph)
def test4_dbpedia_nonexisting_uris(self):
input = pd.DataFrame({
'a': ['http://dbpedia.org/fake/Angela_Merkel', 'http://dbpedia.org/fake/Donald_Trump']
})
expected = pd.DataFrame({
'a': ['http://dbpedia.org/fake/Angela_Merkel', 'http://dbpedia.org/fake/Donald_Trump']
})
output = specific_relation_generator(input, 'a',
hierarchy_relation='http://www.w3.org/2004/02/skos/core#broader', max_hierarchy_depth=2)
pd.testing.assert_frame_equal(output, expected, check_like = True)
def test5_dbpedia_duplicate_uris(self):
input = pd.DataFrame({
'a': ['http://dbpedia.org/resource/1913',
'http://dbpedia.org/resource/1913',
'http://dbpedia.org/fake/1913']
})
expected = pd.DataFrame({
'a': ['http://dbpedia.org/resource/1913',
'http://dbpedia.org/resource/1913',
'http://dbpedia.org/fake/1913'],
'a_in_boolean_http://dbpedia.org/resource/Category:1913': [True, True, np.nan]
})
output = specific_relation_generator(input, 'a')
expected = expected.apply(lambda x: x.astype('object'))
output = output.apply(lambda x: x.astype('object'))
pd.testing.assert_frame_equal(output, expected, check_like = True)
def test6_dbpedia_hierarchy_relation_two_cols(self):
input = pd.DataFrame({
'a':['http://dbpedia.org/resource/1913'],
'b': ['http://dbpedia.org/resource/2020']
})
expected_nodes = ['http://dbpedia.org/resource/Category:1913', 'http://dbpedia.org/resource/Category:2020',
'http://dbpedia.org/resource/Category:1910s', 'http://dbpedia.org/resource/Category:Years',
'http://dbpedia.org/resource/Category:2020s', 'http://dbpedia.org/resource/Category:Years_in_the_future']
expected_edges = [('http://dbpedia.org/resource/Category:1913','http://dbpedia.org/resource/Category:1910s'),
('http://dbpedia.org/resource/Category:1913','http://dbpedia.org/resource/Category:Years'),
('http://dbpedia.org/resource/Category:2020', 'http://dbpedia.org/resource/Category:2020s'),
('http://dbpedia.org/resource/Category:2020','http://dbpedia.org/resource/Category:Years'),
('http://dbpedia.org/resource/Category:2020','http://dbpedia.org/resource/Category:Years_in_the_future')]
expectedGraph = nx.DiGraph()
expectedGraph.add_nodes_from(expected_nodes)
expectedGraph.add_edges_from(expected_edges)
output = specific_relation_generator(input, ['a', 'b'], hierarchy_relation='http://www.w3.org/2004/02/skos/core#broader', max_hierarchy_depth=1)
outputhierarchyGraph = output.attrs['hierarchy']
assert nx.is_isomorphic(expectedGraph, outputhierarchyGraph)
def test7_dbpedia_other_direct_relation(self):
input = pd.DataFrame({
'a':[0, 1],
'new_link': ['http://dbpedia.org/resource/Stuttgart',
'http://dbpedia.org/resource/Tübingen']
})
path_expected = "test/data/generator/srg_7_expected.csv"
expected = pd.read_csv(path_expected)
output = specific_relation_generator(input, 'new_link',
direct_relation='https://www.w3.org/2000/01/rdf-schema#seeAlso')
expected = expected.apply(lambda x: x.astype('object'))
output = output.apply(lambda x: x.astype('object'))
pd.testing.assert_frame_equal(output, expected, check_like = True)
def test8_one_nan(self):
input = pd.DataFrame({
'a':[0, 1],
'new_link': [np.nan,
'http://dbpedia.org/resource/Tübingen']
})
path_expected = "test/data/generator/srg_8_expected.csv"
expected = pd.read_csv(path_expected)
output = specific_relation_generator(input, 'new_link',
direct_relation='https://www.w3.org/2000/01/rdf-schema#seeAlso')
expected = expected.apply(lambda x: x.astype('object'))
output = output.apply(lambda x: x.astype('object'))
pd.testing.assert_frame_equal(output, expected, check_like = True)
def test9_all_nan(self):
input = pd.DataFrame({
'a':[0, 1],
'new_link': [np.nan,np.nan]
})
expected = input.copy()
output = specific_relation_generator(input, 'new_link',
direct_relation='https://www.w3.org/2000/01/rdf-schema#seeAlso')
expected = expected.apply(lambda x: x.astype('object'))
output = output.apply(lambda x: x.astype('object'))
pd.testing.assert_frame_equal(output, expected, check_like = True)
class TestUnqualifiedRelationGenerator:
def test1_out_boolean_bundled(self):
df = pd.DataFrame({
"label": ["Hamburg", "Bremen"],
"uri": ["http://dbpedia.org/resource/Hamburg", "http://dbpedia.org/resource/Bremen"]
})
path_expected = "test/data/generator/unqr_1_expected.csv"
expected = pd.read_csv(path_expected)
result = unqualified_relation_generator(df, columns="uri")
pd.testing.assert_frame_equal(result, expected, check_like = True)
def test2_out_count(self):
df = pd.DataFrame({
"label": ["Hamburg", "Bremen"],
"uri": ["http://dbpedia.org/resource/Hamburg", "http://dbpedia.org/resource/Bremen"]
})
path_expected = "test/data/generator/unqr_2_expected.csv"
expected = pd.read_csv(path_expected)
result = unqualified_relation_generator(df, columns="uri", direction="Out", result_type="count")
pd.testing.assert_frame_equal(result, expected, check_like = True)
def test3_in_filter_count(self):
df = pd.DataFrame({
"label": ["Hamburg", "Bremen"],
"uri": ["http://dbpedia.org/resource/Hamburg", "http://dbpedia.org/resource/Bremen"]
})
expected = pd.DataFrame({
"label": ["Hamburg", "Bremen"],
"uri": ["http://dbpedia.org/resource/Hamburg", "http://dbpedia.org/resource/Bremen"],
"Link_In_count_http://dbpedia.org/ontology/birthPlace": [1326, 302],
"Link_In_count_http://dbpedia.org/ontology/deathPlace": [768, 157],
"Link_In_count_http://dbpedia.org/ontology/wikiPageWikiLink": [7447, 0]
})
result = unqualified_relation_generator(df, columns="uri", direction="In", regex_filter=["ontology"], result_type="count")
pd.testing.assert_frame_equal(result, expected, check_like = True)
def test4_out_boolean_uri_data_model(self):
df = pd.DataFrame({
"label": ["Hamburg", "Bremen"],
"uri": ["http://dbpedia.org/resource/Hamburg", "http://dbpedia.org/resource/Bremen"]
})
path_expected = "test/data/generator/unqr_4_expected.csv"
expected = pd.read_csv(path_expected)
result = unqualified_relation_generator(df, columns="uri", uri_data_model=True, direction="Out", regex_filter=["ontology"], result_type="boolean")
pd.testing.assert_frame_equal(result, expected, check_like = True)
def test5_missingvalue(self):
df = pd.DataFrame({
"label": ["Hamburg", "Bremen","abc"],
"uri": ["http://dbpedia.org/resource/Hamburg", "http://dbpedia.org/resource/Bremen", "http://dbpedia.org/resource/abc"]
})
expected = pd.DataFrame({
"label": ["Hamburg", "Bremen", "abc"],
"uri": ["http://dbpedia.org/resource/Hamburg", "http://dbpedia.org/resource/Bremen","http://dbpedia.org/resource/abc"],
"Link_In_count_http://dbpedia.org/ontology/birthPlace": [1326.0, 302.0, 0.0],
"Link_In_count_http://dbpedia.org/ontology/deathPlace": [768.0, 157.0, 0.0],
"Link_In_count_http://dbpedia.org/ontology/wikiPageWikiLink": [7180.0, 0.0, 0.0],
"Link_In_count_http://dbpedia.org/property/birthPlace": [88, 27, 0],
"Link_In_count_http://dbpedia.org/property/deathPlace": [113, 27, 0],
"Link_In_count_http://www.w3.org/2000/01/rdf-schema#seeAlso": [12, 0, 0]
})
result = unqualified_relation_generator(df, columns="uri", direction="In", result_type="count")
pd.testing.assert_frame_equal(result, expected, check_like = True)
def test6_out_relative(self):
df = pd.DataFrame({
"label": ["Hamburg", "Bremen"],
"uri": ["http://dbpedia.org/resource/Hamburg", "http://dbpedia.org/resource/Bremen"]
})
path_expected = "test/data/generator/unqr_6_expected.csv"
expected = pd.read_csv(path_expected)
result = unqualified_relation_generator(df, columns="uri", direction="Out", result_type="relative")
pd.testing.assert_frame_equal(result, expected, check_like = True)
def test7_in_tfidf(self):
df = pd.DataFrame({
"label": ["Hamburg", "Bremen"],
"uri": ["http://dbpedia.org/resource/Hamburg", "http://dbpedia.org/resource/Bremen"]
})
path_expected = "test/data/generator/unqr_7_expected.csv"
expected = pd.read_csv(path_expected)
result = unqualified_relation_generator(df, columns="uri", direction="In", result_type="tfidf")
pd.testing.assert_frame_equal(result, expected, check_like = True)
class TestQualifiedRelationGenerator:
def test1_in_boolean_types_regex_filter(self):
df = pd.DataFrame({
"label": ["Hamburg", "Bremen"],
"uri": ["http://dbpedia.org/resource/Hamburg", "http://dbpedia.org/resource/Bremen"]
})
path_expected = "test/data/generator/qr_1_expected.csv"
expected = pd.read_csv(path_expected)
result = qualified_relation_generator(df, columns="uri", direction="In", types_regex_filter=["place"], result_type="boolean")
pd.testing.assert_frame_equal(result, expected, check_like = True)
def test2_in_count_properties_regex_filter(self):
df = pd.DataFrame({
"label": ["Hamburg", "Bremen"],
"uri": ["http://dbpedia.org/resource/Hamburg", "http://dbpedia.org/resource/Bremen"]
})
path_expected = "test/data/generator/qr_2_expected.csv"
expected = pd.read_csv(path_expected)
result = qualified_relation_generator(df, columns="uri", direction="In", properties_regex_filter=["place"], result_type="count")
pd.testing.assert_frame_equal(result, expected, check_like = True)
def test3_out_count_uri_data_model_filter(self):
df = pd.DataFrame({
"label": ["Hamburg", "Bremen"],
"uri": ["http://dbpedia.org/resource/Hamburg", "http://dbpedia.org/resource/Bremen"]
})
path_expected = "test/data/generator/qr_3_expected.csv"
expected = pd.read_csv(path_expected)
result = qualified_relation_generator(df, columns="uri", uri_data_model=True, direction="Out", types_regex_filter=['City'], result_type="count", hierarchy = False)
pd.testing.assert_frame_equal(result, expected, check_like = True)
def test4_missingvalue(self):
df = pd.DataFrame({
"label": ["Hamburg", "Bremen","abc"],
"uri": ["http://dbpedia.org/resource/Hamburg", "http://dbpedia.org/resource/Bremen", "http://dbpedia.org/resource/abc"]
})
path_expected = "test/data/generator/qr_4_expected.csv"
expected = pd.read_csv(path_expected)
result = qualified_relation_generator(df, columns="uri", direction="In", properties_regex_filter=["place"], result_type="count")
pd.testing.assert_frame_equal(result, expected, check_like = True)
def test5_in_relative_properties_regex_filter(self):
df = pd.DataFrame({
"label": ["Hamburg", "Bremen"],
"uri": ["http://dbpedia.org/resource/Hamburg", "http://dbpedia.org/resource/Bremen"]
})
path_expected = "test/data/generator/qr_5_expected.csv"
expected = pd.read_csv(path_expected)
result = qualified_relation_generator(df, columns="uri", direction="In", properties_regex_filter=["place"], result_type="relative")
pd.testing.assert_frame_equal(result, expected, check_like = True)
def test6_out_tfidf_types_regex_filter(self):
df = pd.DataFrame({
"label": ["Hamburg", "Bremen"],
"uri": ["http://dbpedia.org/resource/Hamburg", "http://dbpedia.org/resource/Bremen"]
})
path_expected = "test/data/generator/qr_6_expected.csv"
expected = pd.read_csv(path_expected)
result = qualified_relation_generator(df, columns="uri", direction="Out", types_regex_filter=['City'], result_type="tfidf")
pd.testing.assert_frame_equal(result, expected, check_like = True)
def test7_in_boolean_hierarchy(self):
df = pd.DataFrame({
"label": ["Hamburg", "Bremen"],
"uri": ["http://dbpedia.org/resource/Hamburg", "http://dbpedia.org/resource/Bremen"]
})
expected_nodes = ['http://dbpedia.org/class/yago/DisplacedPerson110017890', 'http://dbpedia.org/class/yago/Refugee110516016',
'http://dbpedia.org/class/yago/Marketplace103722288', 'http://dbpedia.org/class/yago/MercantileEstablishment103748162',
'http://dbpedia.org/class/yago/Workplace104602044', 'http://dbpedia.org/class/yago/GeographicPoint108578706',
'http://dbpedia.org/class/yago/WikicatDisplacedPersonsCampsInTheAftermathOfWorldWarII',
'http://dbpedia.org/class/yago/Camp102944826', 'http://dbpedia.org/class/yago/MilitaryQuarters103763727',
'http://dbpedia.org/class/yago/Point108620061', 'http://dbpedia.org/class/yago/PlaceOfBusiness103953020',
'http://dbpedia.org/class/yago/Exile110071332', 'http://dbpedia.org/class/yago/Absentee109757653',
'http://dbpedia.org/class/yago/LivingQuarters103679384', 'http://dbpedia.org/class/yago/Establishment103297735',
'http://dbpedia.org/class/yago/Location100027167', 'http://dbpedia.org/class/yago/Traveler109629752',
'http://dbpedia.org/class/yago/Structure104341686', 'http://dbpedia.org/class/yago/Housing103546340',
'http://dbpedia.org/class/yago/Object100002684', 'http://dbpedia.org/class/yago/YagoGeoEntity',
'http://dbpedia.org/class/yago/YagoLegalActorGeo', 'http://dbpedia.org/class/yago/PhysicalEntity100001930',
'http://dbpedia.org/class/yago/Artifact100021939', 'http://dbpedia.org/class/yago/Person100007846',
'http://dbpedia.org/class/yago/YagoPermanentlyLocatedEntity', 'http://dbpedia.org/class/yago/Whole100003553',
'http://dbpedia.org/class/yago/CausalAgent100007347', 'http://dbpedia.org/class/yago/Organism100004475',
'http://dbpedia.org/class/yago/YagoLegalActor', 'http://dbpedia.org/class/yago/LivingThing100004258']
expected_edges = [('http://dbpedia.org/class/yago/DisplacedPerson110017890', 'http://dbpedia.org/class/yago/Refugee110516016'),
('http://dbpedia.org/class/yago/Refugee110516016', 'http://dbpedia.org/class/yago/Exile110071332'),
('http://dbpedia.org/class/yago/Marketplace103722288', 'http://dbpedia.org/class/yago/MercantileEstablishment103748162'),
('http://dbpedia.org/class/yago/MercantileEstablishment103748162', 'http://dbpedia.org/class/yago/PlaceOfBusiness103953020'),
('http://dbpedia.org/class/yago/Workplace104602044', 'http://dbpedia.org/class/yago/GeographicPoint108578706'),
('http://dbpedia.org/class/yago/GeographicPoint108578706', 'http://dbpedia.org/class/yago/Point108620061'),
('http://dbpedia.org/class/yago/WikicatDisplacedPersonsCampsInTheAftermathOfWorldWarII', 'http://dbpedia.org/class/yago/Camp102944826'),
('http://dbpedia.org/class/yago/Camp102944826', 'http://dbpedia.org/class/yago/MilitaryQuarters103763727'),
('http://dbpedia.org/class/yago/MilitaryQuarters103763727', 'http://dbpedia.org/class/yago/LivingQuarters103679384'),
('http://dbpedia.org/class/yago/Point108620061', 'http://dbpedia.org/class/yago/Location100027167'),
('http://dbpedia.org/class/yago/PlaceOfBusiness103953020', 'http://dbpedia.org/class/yago/Establishment103297735'),
('http://dbpedia.org/class/yago/Exile110071332', 'http://dbpedia.org/class/yago/Absentee109757653'),
('http://dbpedia.org/class/yago/Absentee109757653', 'http://dbpedia.org/class/yago/Traveler109629752'),
('http://dbpedia.org/class/yago/LivingQuarters103679384', 'http://dbpedia.org/class/yago/Housing103546340'),
('http://dbpedia.org/class/yago/Establishment103297735', 'http://dbpedia.org/class/yago/Structure104341686'),
('http://dbpedia.org/class/yago/Location100027167', 'http://dbpedia.org/class/yago/Object100002684'),
('http://dbpedia.org/class/yago/Location100027167', 'http://dbpedia.org/class/yago/YagoGeoEntity'),
('http://dbpedia.org/class/yago/Location100027167', 'http://dbpedia.org/class/yago/YagoLegalActorGeo'),
('http://dbpedia.org/class/yago/Traveler109629752', 'http://dbpedia.org/class/yago/Person100007846'),
('http://dbpedia.org/class/yago/Structure104341686', 'http://dbpedia.org/class/yago/Artifact100021939'),
('http://dbpedia.org/class/yago/Structure104341686', 'http://dbpedia.org/class/yago/YagoGeoEntity'),
('http://dbpedia.org/class/yago/Housing103546340', 'http://dbpedia.org/class/yago/Structure104341686'),
('http://dbpedia.org/class/yago/Object100002684', 'http://dbpedia.org/class/yago/PhysicalEntity100001930'),
('http://dbpedia.org/class/yago/YagoGeoEntity', 'http://dbpedia.org/class/yago/YagoPermanentlyLocatedEntity'),
('http://dbpedia.org/class/yago/Artifact100021939', 'http://dbpedia.org/class/yago/Whole100003553'),
('http://dbpedia.org/class/yago/Person100007846', 'http://dbpedia.org/class/yago/CausalAgent100007347'),
('http://dbpedia.org/class/yago/Person100007846', 'http://dbpedia.org/class/yago/Organism100004475'),
('http://dbpedia.org/class/yago/Person100007846', 'http://dbpedia.org/class/yago/YagoLegalActor'),
('http://dbpedia.org/class/yago/Whole100003553', 'http://dbpedia.org/class/yago/Object100002684'),
('http://dbpedia.org/class/yago/CausalAgent100007347', 'http://dbpedia.org/class/yago/PhysicalEntity100001930'),
('http://dbpedia.org/class/yago/Organism100004475', 'http://dbpedia.org/class/yago/LivingThing100004258'),
('http://dbpedia.org/class/yago/YagoLegalActor', 'http://dbpedia.org/class/yago/YagoLegalActorGeo'),
('http://dbpedia.org/class/yago/LivingThing100004258', 'http://dbpedia.org/class/yago/Whole100003553')]
expectedGraph = nx.DiGraph()
expectedGraph.add_nodes_from(expected_nodes)
expectedGraph.add_edges_from(expected_edges)
result = qualified_relation_generator(df, columns="uri", direction="In", types_regex_filter=["place"], result_type="boolean", hierarchy=True)
outputhierarchyGraph = result.attrs['hierarchy']
assert nx.is_isomorphic(expectedGraph, outputhierarchyGraph)
class TestCustomSparqlGenerator:
def test1_dbpedia_one_result(self):
df = pd.DataFrame({
"label": ["Baden-Württemberg", "Brandenburg", "Saarland"],
"uri": ["http://dbpedia.org/resource/Baden-Württemberg", "http://dbpedia.org/resource/Brandenburg", "http://dbpedia.org/resource/Saarland"]
})
expected_result_df = pd.DataFrame({
"label": ["Baden-Württemberg", "Brandenburg", "Saarland"],
"uri": ["http://dbpedia.org/resource/Baden-Württemberg", "http://dbpedia.org/resource/Brandenburg", "http://dbpedia.org/resource/Saarland"],
"population": [10777514, 2449600, 1039000]
})
sparql_query = "select ?population where {*uri* <http://dbpedia.org/ontology/populationTotal> ?population .}"
result = custom_sparql_generator(df, ["uri"], endpoint = DBpedia, query = sparql_query)
pd.testing.assert_frame_equal(result, expected_result_df)
def test2_dbpedia_multiple_results(self):
df = pd.DataFrame({
"label": ["Baden-Württemberg", "Brandenburg", "Saarland"],
"uri": ["http://dbpedia.org/resource/Baden-Württemberg", "http://dbpedia.org/resource/Brandenburg", "http://dbpedia.org/resource/Saarland"]
})
expected_result_df = pd.DataFrame({
"label": ["Baden-Württemberg", "Brandenburg", "Saarland"],
"uri": ["http://dbpedia.org/resource/Baden-Württemberg", "http://dbpedia.org/resource/Brandenburg", "http://dbpedia.org/resource/Saarland"],
"capital": ["Stuttgart", "Potsdam", "Saarbrücken"],
"populationCap": [623738, 161468, 180515]
})
sparql_query = "select ?capital ?populationCap where {*uri* <http://dbpedia.org/ontology/capital> ?capitalLink . \
?capitalLink rdfs:label ?capital . \
?capitalLink <http://dbpedia.org/ontology/populationTotal> ?populationCap .}"
result = custom_sparql_generator(df, ["uri"], endpoint = DBpedia, query = sparql_query)
pd.testing.assert_frame_equal(result, expected_result_df)
class TestDataPropertiesGenerator:
def test1_dbpedia(self):
df = pd.DataFrame({
"label": ["Eratosthenes","Pytheas"],
"uri": ["http://dbpedia.org/resource/Eratosthenes","http://dbpedia.org/resource/Pytheas"]
})
expected_result_columns = ['label', 'uri', 'uri_data_http://dbpedia.org/ontology/abstract',
'uri_data_http://dbpedia.org/ontology/birthDate',
'uri_data_http://dbpedia.org/ontology/birthYear',
'uri_data_http://dbpedia.org/ontology/deathDate',
'uri_data_http://dbpedia.org/ontology/deathYear',
'uri_data_http://dbpedia.org/ontology/wikiPageID',
'uri_data_http://dbpedia.org/ontology/wikiPageRevisionID',
'uri_data_http://dbpedia.org/property/alt',
'uri_data_http://dbpedia.org/property/birthDate',
'uri_data_http://dbpedia.org/property/caption',
'uri_data_http://dbpedia.org/property/citizenship',
'uri_data_http://dbpedia.org/property/deathDate',
'uri_data_http://dbpedia.org/property/ethnicity',
'uri_data_http://dbpedia.org/property/fields',
'uri_data_http://dbpedia.org/property/imageSize',
'uri_data_http://dbpedia.org/property/influenced',
'uri_data_http://purl.org/dc/terms/description',
'uri_data_http://www.w3.org/2000/01/rdf-schema#comment',
'uri_data_http://www.w3.org/2000/01/rdf-schema#label',
'uri_data_http://xmlns.com/foaf/0.1/gender',
'uri_data_http://xmlns.com/foaf/0.1/name']
result = list(data_properties_generator(df, "uri").columns)
assert result == expected_result_columns
def test2_dbpedia_string(self):
df = pd.DataFrame({
"label": ["Eratosthenes","Pytheas"],
"uri": ["http://dbpedia.org/resource/Eratosthenes","http://dbpedia.org/resource/Pytheas"]
})
expected_result_columns = ['label', 'uri', 'uri_data_http://dbpedia.org/ontology/birthDate',
'uri_data_http://dbpedia.org/ontology/birthYear',
'uri_data_http://dbpedia.org/ontology/deathDate',
'uri_data_http://dbpedia.org/ontology/deathYear',
'uri_data_http://dbpedia.org/ontology/wikiPageID',
'uri_data_http://dbpedia.org/ontology/wikiPageRevisionID',
'uri_data_http://dbpedia.org/property/alt',
'uri_data_http://dbpedia.org/property/birthDate',
'uri_data_http://dbpedia.org/property/caption',
'uri_data_http://dbpedia.org/property/citizenship',
'uri_data_http://dbpedia.org/property/deathDate',
'uri_data_http://dbpedia.org/property/ethnicity',
'uri_data_http://dbpedia.org/property/fields',
'uri_data_http://dbpedia.org/property/imageSize',
'uri_data_http://dbpedia.org/property/influenced']
result = list(data_properties_generator(df, "uri", type_filter="- xsd:string").columns)
assert result == expected_result_columns
def test3_dbpedia_regex(self):
df = pd.DataFrame({
"label": ["Eratosthenes","Pytheas"],
"uri": ["http://dbpedia.org/resource/Eratosthenes","http://dbpedia.org/resource/Pytheas"]
})
expected_result_columns = ['label', 'uri',
'uri_data_http://dbpedia.org/property/alt',
'uri_data_http://dbpedia.org/property/birthDate',
'uri_data_http://dbpedia.org/property/caption',
'uri_data_http://dbpedia.org/property/citizenship',
'uri_data_http://dbpedia.org/property/deathDate',
'uri_data_http://dbpedia.org/property/ethnicity',
'uri_data_http://dbpedia.org/property/fields',
'uri_data_http://dbpedia.org/property/imageSize',
'uri_data_http://dbpedia.org/property/influenced']
result = list(data_properties_generator(df, "uri", regex_filter=".*property.*").columns)
assert result == expected_result_columns
def test4_dbpedia_date_regex(self):
df = pd.DataFrame({
"label": ["Eratosthenes","Pytheas"],
"uri": ["http://dbpedia.org/resource/Eratosthenes","http://dbpedia.org/resource/Pytheas"]
})
expected_result_columns = ['label', 'uri',
'uri_data_http://dbpedia.org/property/alt',
'uri_data_http://dbpedia.org/property/birthDate',
'uri_data_http://dbpedia.org/property/caption',
'uri_data_http://dbpedia.org/property/citizenship',
'uri_data_http://dbpedia.org/property/deathDate',
'uri_data_http://dbpedia.org/property/ethnicity',
'uri_data_http://dbpedia.org/property/fields',
'uri_data_http://dbpedia.org/property/imageSize',
'uri_data_http://dbpedia.org/property/influenced']
result = list(data_properties_generator(df, "uri", type_filter="xsd:date",regex_filter=".*property.*").columns)
assert result == expected_result_columns
| 59.002247 | 177 | 0.594359 | 5,568 | 52,512 | 5.438757 | 0.058908 | 0.127861 | 0.162732 | 0.110425 | 0.946075 | 0.937027 | 0.918403 | 0.896972 | 0.880725 | 0.843675 | 0 | 0.045635 | 0.254704 | 52,512 | 889 | 178 | 59.068616 | 0.728135 | 0 | 0 | 0.647147 | 0 | 0.003003 | 0.455058 | 0.010836 | 0 | 0 | 0 | 0 | 0.058559 | 1 | 0.058559 | false | 0 | 0.009009 | 0 | 0.076577 | 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 |
ec21c7ff5b9031c79c7fd3e568461d3f8ce96c18 | 126 | py | Python | vizutils/__init__.py | rbiswas4/Vizutils | 07f32093295a9364d7b284f94a168b0031b758e6 | [
"MIT"
] | null | null | null | vizutils/__init__.py | rbiswas4/Vizutils | 07f32093295a9364d7b284f94a168b0031b758e6 | [
"MIT"
] | null | null | null | vizutils/__init__.py | rbiswas4/Vizutils | 07f32093295a9364d7b284f94a168b0031b758e6 | [
"MIT"
] | null | null | null | from __future__ import absolute_import
from .projectedplots import *
from .subplots import *
from .version import __VERSION__
| 25.2 | 38 | 0.833333 | 15 | 126 | 6.4 | 0.466667 | 0.3125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.126984 | 126 | 4 | 39 | 31.5 | 0.872727 | 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 |
ec22f8b42e7167f1b3d8cd2821fb650176963336 | 55 | py | Python | roiextractors/extractors/tiffimagingextractor/__init__.py | cechava/roiextractors | 4a5348ce89f879eb6e068ab4640c50c42979e634 | [
"BSD-3-Clause"
] | 4 | 2020-09-23T00:01:08.000Z | 2021-11-16T11:49:58.000Z | roiextractors/extractors/tiffimagingextractor/__init__.py | cechava/roiextractors | 4a5348ce89f879eb6e068ab4640c50c42979e634 | [
"BSD-3-Clause"
] | 50 | 2020-08-14T17:12:24.000Z | 2022-03-01T22:20:37.000Z | roiextractors/extractors/tiffimagingextractor/__init__.py | cechava/roiextractors | 4a5348ce89f879eb6e068ab4640c50c42979e634 | [
"BSD-3-Clause"
] | 1 | 2020-12-15T22:57:54.000Z | 2020-12-15T22:57:54.000Z | from .tiffimagingextractor import TiffImagingExtractor
| 27.5 | 54 | 0.909091 | 4 | 55 | 12.5 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.072727 | 55 | 1 | 55 | 55 | 0.980392 | 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 |
6b6d15464f4e4943a81fd27578de4faaf2a1934f | 7,483 | py | Python | florense/portal/migrations/0001_initial.py | leoromanini/florense | eb547caa357562ab21fd37a5db3ad824fbca71a8 | [
"MIT"
] | null | null | null | florense/portal/migrations/0001_initial.py | leoromanini/florense | eb547caa357562ab21fd37a5db3ad824fbca71a8 | [
"MIT"
] | null | null | null | florense/portal/migrations/0001_initial.py | leoromanini/florense | eb547caa357562ab21fd37a5db3ad824fbca71a8 | [
"MIT"
] | null | null | null | # Generated by Django 2.2 on 2021-12-28 19:18
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import portal.models
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.CreateModel(
name='AllocationRoom',
fields=[
('id', models.AutoField(primary_key=True, serialize=False)),
('active', models.BooleanField(default=True)),
('created', models.DateTimeField(editable=False)),
('modified', models.DateTimeField()),
],
),
migrations.CreateModel(
name='Environment',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=150)),
('active', models.BooleanField(default=True)),
],
),
migrations.CreateModel(
name='Label',
fields=[
('id', models.AutoField(primary_key=True, serialize=False)),
('name', models.CharField(max_length=150)),
('active', models.BooleanField(default=True)),
('created', models.DateTimeField(editable=False)),
('modified', models.DateTimeField()),
],
),
migrations.CreateModel(
name='LabelPermission',
fields=[
('id', models.AutoField(primary_key=True, serialize=False)),
('active', models.BooleanField(default=True)),
('created', models.DateTimeField(editable=False)),
('modified', models.DateTimeField()),
('label', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='portal.Label')),
],
),
migrations.CreateModel(
name='Product',
fields=[
('id', models.AutoField(primary_key=True, serialize=False)),
('name', models.CharField(max_length=250)),
('active', models.BooleanField(default=True)),
('created', models.DateTimeField(editable=False)),
('modified', models.DateTimeField()),
],
),
migrations.CreateModel(
name='ProductPermission',
fields=[
('id', models.AutoField(primary_key=True, serialize=False)),
('active', models.BooleanField(default=True)),
('created', models.DateTimeField(editable=False)),
('modified', models.DateTimeField()),
('product', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='portal.Product')),
],
),
migrations.CreateModel(
name='Room',
fields=[
('id', models.AutoField(primary_key=True, serialize=False)),
('name', models.CharField(max_length=200)),
('active', models.BooleanField(default=True)),
('created', models.DateTimeField(editable=False)),
('modified', models.DateTimeField()),
('labels', models.ManyToManyField(through='portal.LabelPermission', to='portal.Label')),
('products', models.ManyToManyField(through='portal.ProductPermission', to='portal.Product')),
],
),
migrations.AddField(
model_name='productpermission',
name='room',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='portal.Room'),
),
migrations.CreateModel(
name='Order',
fields=[
('id', models.AutoField(primary_key=True, serialize=False)),
('number', models.CharField(max_length=100)),
('customer', models.CharField(max_length=250)),
('description', models.TextField(blank=True)),
('active', models.BooleanField(default=True)),
('created', models.DateTimeField(editable=False)),
('modified', models.DateTimeField()),
('environment', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, to='portal.Environment')),
('inspector', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='order_inspector', to=settings.AUTH_USER_MODEL)),
('rooms', models.ManyToManyField(through='portal.AllocationRoom', to='portal.Room')),
('salesmen', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='order_salesmen', to=settings.AUTH_USER_MODEL)),
],
),
migrations.AddField(
model_name='labelpermission',
name='room',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='portal.Room'),
),
migrations.CreateModel(
name='Employee',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('environment', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='portal.Environment')),
('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)),
],
),
migrations.AddField(
model_name='allocationroom',
name='order',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='portal.Order'),
),
migrations.AddField(
model_name='allocationroom',
name='room',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='portal.Room'),
),
migrations.CreateModel(
name='AllocationProduct',
fields=[
('id', models.AutoField(primary_key=True, serialize=False)),
('active', models.BooleanField(default=True)),
('approved', models.BooleanField(default=False)),
('image', models.ImageField(blank=True, upload_to=portal.models.get_product_images_path)),
('created', models.DateTimeField(editable=False)),
('modified', models.DateTimeField()),
('allocation_room', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='portal.AllocationRoom')),
('product_permission', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='portal.ProductPermission')),
],
),
migrations.CreateModel(
name='AllocationLabel',
fields=[
('id', models.AutoField(primary_key=True, serialize=False)),
('active', models.BooleanField(default=True)),
('content', models.TextField(blank=True)),
('created', models.DateTimeField(editable=False)),
('modified', models.DateTimeField()),
('allocation_room', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='portal.AllocationRoom')),
('label_permission', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='portal.LabelPermission')),
],
),
]
| 47.66242 | 167 | 0.578378 | 663 | 7,483 | 6.431373 | 0.146305 | 0.080206 | 0.052533 | 0.082552 | 0.730769 | 0.71834 | 0.704503 | 0.704503 | 0.704503 | 0.668621 | 0 | 0.005941 | 0.280235 | 7,483 | 156 | 168 | 47.967949 | 0.785741 | 0.005746 | 0 | 0.691275 | 1 | 0 | 0.126781 | 0.020839 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.026846 | 0 | 0.053691 | 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 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
6ba6328cd80383a06e5a1feb2d9a71e57a95b6fe | 26 | py | Python | mollom/__init__.py | disqus/mollom_python | 538ab8d24ee55d45f56b856b771cda25bd942d38 | [
"MIT"
] | 1 | 2015-07-14T14:16:31.000Z | 2015-07-14T14:16:31.000Z | mollom/__init__.py | disqus/mollom_python | 538ab8d24ee55d45f56b856b771cda25bd942d38 | [
"MIT"
] | null | null | null | mollom/__init__.py | disqus/mollom_python | 538ab8d24ee55d45f56b856b771cda25bd942d38 | [
"MIT"
] | null | null | null | from mollom import Mollom
| 13 | 25 | 0.846154 | 4 | 26 | 5.5 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.153846 | 26 | 1 | 26 | 26 | 1 | 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 |
6bdb2ece3a1af3db80ee430773b8ffb3da8b7cfd | 10,625 | py | Python | tests/board_tests.py | adamRoar/PyCheckers | d27743c28b7954aa707a2eaa85aad4dd7a6a51c7 | [
"Apache-2.0"
] | 2 | 2020-04-25T19:32:08.000Z | 2020-04-26T14:09:52.000Z | tests/board_tests.py | adamRoar/PyCheckers | d27743c28b7954aa707a2eaa85aad4dd7a6a51c7 | [
"Apache-2.0"
] | null | null | null | tests/board_tests.py | adamRoar/PyCheckers | d27743c28b7954aa707a2eaa85aad4dd7a6a51c7 | [
"Apache-2.0"
] | null | null | null | import copy
import unittest
from model.model import Board, Tile, MoveType, Color, Piece
class MyTestCase(unittest.TestCase):
def setUp(self) -> None:
self.b = Board()
def tearDown(self) -> None:
print()
print(self._testMethodName)
print(self.b)
def test_normal_moves(self):
# default turn is BLACK so we change it to RED first
self.b.turn = Color.RED
# Alternating forward moves
self.assertMoveType(MoveType.NORMAL, self.b.move_piece(Tile(2, 1), Tile(3, 2)))
self.assertMoveType(MoveType.NORMAL, self.b.move_piece(Tile(5, 6), Tile(4, 7)))
self.assertMoveType(MoveType.NORMAL, self.b.move_piece(Tile(2, 7), Tile(3, 6)))
self.assertMoveType(MoveType.NORMAL, self.b.move_piece(Tile(5, 2), Tile(4, 1)))
# Red moving back: INVALID
self.assertMoveType(MoveType.INVALID, self.b.move_piece(Tile(3, 2), Tile(2, 1)))
# INVALID RED move should not change turn so we change it manually to BLACK
self.b.turn = Color.BLACK
# Black moving back: INVALID
self.assertMoveType(MoveType.INVALID, self.b.move_piece(Tile(4, 1), Tile(5, 0)))
def test_king_normal_moves(self):
# default turn is BLACK so we change it to RED first
self.b.turn = Color.RED
piece = Piece(Color.RED)
self.b.set_piece_at(Tile(4, 3), piece)
piece.king()
# red king moves backwards
self.assertMoveType(MoveType.NORMAL, self.b.move_piece(Tile(4, 3), Tile(3, 4)))
# RED shouldn't be able to move 2 turns in a row so we set to RED
self.b.turn = Color.RED
# red king moves forwards
self.assertMoveType(MoveType.NORMAL, self.b.move_piece(Tile(3, 4), Tile(4, 3)))
def test_red_jump_right(self):
# default turn is BLACK so we change it to RED first
self.b.turn = Color.RED
# Set a black piece to a jumpable position
self.b.set_piece_at(Tile(3, 4), Piece(Color.BLACK))
self.assertMoveType(MoveType.JUMP, self.b.move_piece(Tile(2, 3), Tile(4, 5)))
self.assertIsNone(self.b.get_piece_at(Tile(3, 4)))
def test_red_jump_left(self):
# default turn is BLACK so we change it to RED first
self.b.turn = Color.RED
# Set a black piece to a jumpable position
self.b.set_piece_at(Tile(3, 4), Piece(Color.BLACK))
self.assertMoveType(MoveType.JUMP, self.b.move_piece(Tile(2, 5), Tile(4, 3)))
self.assertIsNone(self.b.get_piece_at(Tile(3, 4)))
def test_black_jump_right(self):
# Set a red piece to a jumpable position
self.b.set_piece_at(Tile(4, 3), Piece(Color.RED))
self.assertMoveType(MoveType.JUMP, self.b.move_piece(Tile(5, 2), Tile(3, 4)))
self.assertIsNone(self.b.get_piece_at(Tile(4, 3)))
def test_black_jump_left(self):
# Set a red piece to a jumpable position
self.b.set_piece_at(Tile(4, 3), Piece(Color.RED))
self.assertMoveType(MoveType.JUMP, self.b.move_piece(Tile(5, 4), Tile(3, 2)))
self.assertIsNone(self.b.get_piece_at(Tile(4, 3)))
def test_king_jump_back_left(self):
# default turn is BLACK so we change it to RED first
self.b.turn = Color.RED
# Set up the red king
piece = Piece(Color.RED)
self.b.set_piece_at(Tile(6, 5), piece)
piece.king()
# King jumping back is a valid JUMP move
self.assertMoveType(MoveType.JUMP, self.b.move_piece(Tile(6, 5), Tile(4, 3)))
# Piece the king jumped is removed
self.assertIsNone(self.b.get_piece_at(Tile(5, 4)))
def test_king_jump_back_right(self):
# default turn is BLACK so we change it to RED first
self.b.turn = Color.RED
# Set up the red king
piece = Piece(Color.RED)
self.b.set_piece_at(Tile(6, 1), piece)
piece.king()
# King jumping back is a valid JUMP move
self.assertMoveType(MoveType.JUMP, self.b.move_piece(Tile(6, 1), Tile(4, 3)))
# Piece the king jumped is removed
self.assertIsNone(self.b.get_piece_at(Tile(5, 2)))
def test_same_color_jump_invalid(self):
# default turn is BLACK so we change it to RED first
self.b.turn = Color.RED
# Red jumping red is INVALID and does not remove other red piece
self.assertMoveType(MoveType.INVALID, self.b.move_piece(Tile(1, 2), Tile(3, 4)))
self.assertIsNotNone(self.b.get_piece_at(Tile(2, 3)))
# INVALID RED move should not change turn so we change it manually to BLACK
self.b.turn = Color.BLACK
# Black jumping black is INVALID and does not remove other black piece
self.assertMoveType(MoveType.INVALID, self.b.move_piece(Tile(6, 1), Tile(4, 3)))
self.assertIsNotNone(self.b.get_piece_at(Tile(5, 2)))
def test_wrong_player_cannot_move(self):
# Black goes first - red move here should be INVALID
self.assertMoveType(MoveType.INVALID, self.b.move_piece(Tile(2, 1), Tile(3, 2)))
def test_turns_alternate(self):
self.assertMoveType(MoveType.NORMAL, self.b.move_piece(Tile(5, 0), Tile(4, 1)))
self.assertMoveType(MoveType.NORMAL, self.b.move_piece(Tile(2, 1), Tile(3, 2)))
def test_can_jump(self):
self.b.set_piece_at(Tile(4, 3), Piece(Color.RED))
self.assertEqual(True, self.b.can_jump(Tile(5, 4)))
def test_tile_addition(self):
self.assertEqual(Tile(3, 4), Tile(1, 3) + Tile(2, 1))
self.assertEqual(Tile(1, 1), Tile(4, 2) + Tile(-3, -1))
def test_double_jump(self):
self.b.set_piece_at(Tile(4, 3), Piece(Color.RED))
self.b.set_piece_at(Tile(1, 0), None)
self.assertMoveType(MoveType.JUMP, self.b.move_piece(Tile(5, 4), Tile(3, 2)))
# testing that pieces other than target_tile cannot move during a double jump
self.assertMoveType(MoveType.INVALID, self.b.move_piece(Tile(5, 0), Tile(4, 1)))
self.assertEqual(self.b.turn, Color.BLACK)
self.assertMoveType(MoveType.JUMP, self.b.move_piece(Tile(3, 2), Tile(1, 0)))
self.assertIsNone(self.b.target_tile)
self.assertEqual(self.b.turn, Color.RED)
def test_cannot_move_wrong_piece_after_jump(self):
self.b.set_piece_at(Tile(4, 3), Piece(Color.RED))
self.b.set_piece_at(Tile(1, 0), None)
self.assertMoveType(MoveType.JUMP, self.b.move_piece(Tile(5, 4), Tile(3, 2)))
self.assertEqual(self.b.turn, Color.BLACK)
self.assertMoveType(MoveType.INVALID, self.b.move_piece(Tile(5, 0), Tile(4, 1)))
def test_normal_move_after_jump_good(self):
self.test_double_jump()
self.assertMoveType(MoveType.NORMAL, self.b.move_piece(Tile(2, 7), Tile(3, 6)))
def test_triple_jump(self):
self.b = Board(True)
self.b.turn = Color.RED
self.b.red_checkers = 1
self.b.black_checkers = 3
self.b.set_piece_at(Tile(0, 0), Piece(Color.RED))
self.b.set_piece_at(Tile(1, 1), Piece(Color.BLACK))
self.b.set_piece_at(Tile(3, 3), Piece(Color.BLACK))
self.b.set_piece_at(Tile(5, 5), Piece(Color.BLACK))
print(self.b)
self.assertMoveType(MoveType.JUMP, self.b.move_piece(Tile(0, 0), Tile(2, 2)))
print(self.b)
self.assertMoveType(MoveType.JUMP, self.b.move_piece(Tile(2, 2), Tile(4, 4)))
print(self.b)
self.assertMoveType(MoveType.JUMP, self.b.move_piece(Tile(4, 4), Tile(6, 6)))
print(self.b)
self.assertEqual(self.b.turn, Color.BLACK)
def test_king_triple_jump_backwards(self):
self.b = Board(True)
king = Piece(Color.BLACK)
king.king()
self.b.red_checkers = 3
self.b.black_checkers = 1
self.b.set_piece_at(Tile(0, 0), king)
self.b.set_piece_at(Tile(1, 1), Piece(Color.RED))
self.b.set_piece_at(Tile(3, 3), Piece(Color.RED))
self.b.set_piece_at(Tile(5, 5), Piece(Color.RED))
print(self.b)
self.assertMoveType(MoveType.JUMP, self.b.move_piece(Tile(0, 0), Tile(2, 2)))
print(self.b)
self.assertMoveType(MoveType.JUMP, self.b.move_piece(Tile(2, 2), Tile(4, 4)))
print(self.b)
self.assertMoveType(MoveType.JUMP, self.b.move_piece(Tile(4, 4), Tile(6, 6)))
print(self.b)
self.assertEqual(self.b.turn, Color.RED)
def test_has_jump_after_normal_with_no_jump(self):
self.b.turn = Color.RED
self.assertMoveType(MoveType.NORMAL, self.b.move_piece(Tile(2, 1), Tile(3, 2)))
self.assertFalse(self.b.must_jump)
def test_has_jump_after_normal_with_jump(self):
self.test_has_jump_after_normal_with_no_jump()
self.assertMoveType(MoveType.NORMAL, self.b.move_piece(Tile(5, 4), Tile(4, 3)))
self.assertTrue(self.b.must_jump)
def test_has_jump_after_jump(self):
self.test_has_jump_after_normal_with_jump()
self.assertMoveType(MoveType.JUMP, self.b.move_piece(Tile(3, 2), Tile(5, 4)))
self.assertTrue(self.b.must_jump)
def test_cannot_move_piece_if_has_jump(self):
self.test_has_jump_after_normal_with_jump()
self.assertMoveType(MoveType.INVALID, self.b.move_piece(Tile(2, 7), Tile(3, 6)))
def test_win_condition(self):
self.b = Board(True)
self.b.set_piece_at(Tile(4, 1), Piece(Color.RED))
self.b.set_piece_at(Tile(5, 2), Piece(Color.BLACK))
self.b.red_checkers = 1
self.b.black_checkers = 1
self.b.move_piece(Tile(5, 2), Tile(3, 0))
self.assertEqual(Color.BLACK, self.b.winner())
def test_wrong_player(self):
self.assertMoveType(MoveType.INVALID, self.b.move_piece(Tile(2, 1), Tile(3, 2)))
self.assertIsNone(self.b.get_piece_at(Tile(3, 2)))
self.assertIsNotNone(self.b.get_piece_at(Tile(2, 1)))
self.assertEqual(Color.BLACK, self.b.turn)
def test_promotion(self):
self.b = Board(True)
self.b.set_piece_at(Tile(1, 0), Piece(Color.BLACK))
self.b.move_piece(Tile(1, 0), Tile(0, 1))
self.assertEqual(True, self.b.get_piece_at(Tile(0, 1)).is_king)
def test_deep_copy_board(self):
nb = copy.deepcopy(self.b)
piece = self.b.get_piece_at(Tile(2, 1))
piece.king()
self.assertEqual(False, nb.get_piece_at(Tile(2, 1)).is_king)
self.b.move_piece(Tile(2, 1), Tile(3, 0))
self.assertEqual(None, nb.get_piece_at(Tile(3, 0)))
def assertMoveType(self, expected: MoveType, actual: (MoveType, Piece)):
actual_move, _ = actual
self.assertEqual(expected, actual_move)
if __name__ == '__main__':
unittest.main()
| 44.456067 | 88 | 0.647906 | 1,694 | 10,625 | 3.916765 | 0.07379 | 0.089676 | 0.052901 | 0.082291 | 0.820045 | 0.786436 | 0.760814 | 0.744386 | 0.720422 | 0.644009 | 0 | 0.030237 | 0.218729 | 10,625 | 238 | 89 | 44.642857 | 0.769064 | 0.122165 | 0 | 0.434286 | 0 | 0 | 0.00086 | 0 | 0 | 0 | 0 | 0 | 0.371429 | 1 | 0.165714 | false | 0 | 0.017143 | 0 | 0.188571 | 0.062857 | 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 |
d481cdc1a1217ca280169da8510a0b65d1081629 | 289 | py | Python | src/python/qecirq/decompositions/__init__.py | zapatacomputing/qe-cirq | 416c2f02fd4866b453a780b607e8b0958369ef7a | [
"Apache-2.0"
] | null | null | null | src/python/qecirq/decompositions/__init__.py | zapatacomputing/qe-cirq | 416c2f02fd4866b453a780b607e8b0958369ef7a | [
"Apache-2.0"
] | 11 | 2021-09-28T18:16:03.000Z | 2022-03-30T22:35:04.000Z | src/python/qecirq/decompositions/__init__.py | zapatacomputing/qe-cirq | 416c2f02fd4866b453a780b607e8b0958369ef7a | [
"Apache-2.0"
] | 1 | 2022-02-19T18:20:31.000Z | 2022-02-19T18:20:31.000Z | ################################################################################
# © Copyright 2021 Zapata Computing Inc.
################################################################################
from ._cirq_decompositions import PowerGateToPhaseAndRotation, decompose_cirq_circuit
| 57.8 | 85 | 0.380623 | 14 | 289 | 7.642857 | 0.928571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014545 | 0.048443 | 289 | 4 | 86 | 72.25 | 0.370909 | 0.131488 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
2e395c745e691f519f4120118bd91b5f955bec58 | 46 | py | Python | kd_splicing/kd_splicing/dataset/__init__.py | konovalovdmitry/catsnap | d5f1d7c37dcee1ad3fee2cdc12a3b44b56f4c63f | [
"MIT"
] | null | null | null | kd_splicing/kd_splicing/dataset/__init__.py | konovalovdmitry/catsnap | d5f1d7c37dcee1ad3fee2cdc12a3b44b56f4c63f | [
"MIT"
] | null | null | null | kd_splicing/kd_splicing/dataset/__init__.py | konovalovdmitry/catsnap | d5f1d7c37dcee1ad3fee2cdc12a3b44b56f4c63f | [
"MIT"
] | 1 | 2021-09-30T08:06:20.000Z | 2021-09-30T08:06:20.000Z | from kd_splicing.dataset import utils, models
| 23 | 45 | 0.847826 | 7 | 46 | 5.428571 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.108696 | 46 | 1 | 46 | 46 | 0.926829 | 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 |
5cedbf056e9af8cb7f1974018ad4885db680ba1c | 8,944 | py | Python | assets/data_and_scripts/Functions/tgac.py | GTPB/PPB18 | fe19c9b8c6b91dce22c554bc1fa48c97834f8a87 | [
"CC-BY-4.0"
] | 4 | 2020-01-14T18:23:24.000Z | 2021-07-30T10:15:10.000Z | assets/data_and_scripts/Functions/tgac.py | GTPB/PPB18 | fe19c9b8c6b91dce22c554bc1fa48c97834f8a87 | [
"CC-BY-4.0"
] | null | null | null | assets/data_and_scripts/Functions/tgac.py | GTPB/PPB18 | fe19c9b8c6b91dce22c554bc1fa48c97834f8a87 | [
"CC-BY-4.0"
] | 1 | 2021-07-30T10:11:35.000Z | 2021-07-30T10:11:35.000Z | # alcohol dehydrogenase - ahd4 - amino acid sequence
S_prot = "mgtkgkvikckaaiaweagkplcieevevappkahevriqiiatslchtdatvidskfeglafpvivgheaagivesigpgvtnvkpgdkviplyaplcrkckfclspltnlcgkisnlkspasdqqlmedktsrftckgkpvyhffgtstfsqytvvsdinlakidddanlervcllgcgfstgygaainnakvtpgstcavfglggvglsavmgckaagasriigidinsekfvkakalgatdclnprdlhkpiqeviieltkggvdfaldcaggsetmkaaldcttagwgsctfigvaagskgltifpeeliigrtingtffggwksvdsipklvtdyknkkfnldalvthtlpfdkiseafdlmnqgksvrtilif"
aa = ['A','C','D','E','F','G','H', 'K','I','L','M','N','P','Q','R','S','T','V','Y','W']
aa_hydrofobic = ['A', 'F', 'G', 'I', 'L', 'M', 'P', 'V', 'W']
aa_hydrofile = ['C', 'N', 'Q', 'S', 'T', 'Y']
aa_basic = ['H', 'K', 'R']
aa_acid = ['D', 'E']
S_dna = "gatcctccatatacaacggtatctccacctcaggtttagatctcaacaacggaaccattgccgacatgagacagttaggtatcgtcgagagttacaagctaaaacgagcagtagtcagctctgcatctgaagccgctgaagttctactaagggtggataacatcatccgtgcaagaccaagaaccgccaatagacaacatatgtaacatatttaggatatacctcgaaaataataaaccgccacactgtcattattataattagaaacagaacgcaaaaattatccactatataattcaaagacgcgaaaaaaaaagaacaacgcgtcatagaacttttggcaattcgcgtcacaaataaattttggcaacttatgtttcctcttcgagcagtactcgagccctgtctcaagaatgtaataatacccatcgtaggtatggttaaagatagcatctccacaacctcaaagctccttgccgagagtcgccctcctttgtcgagtaattttcacttttcatatgagaacttattttcttattctttactctcacatcctgtagtgattgacactgcaacagccaccatcactagaagaacagaacaattacttaatagaaaaattatatcttcctcgaaacgatttcctgcttccaacatctacgtatatcaagaagcattcacttaccatgacacagcttcagatttcattattgctgacagctactatatcactactccatctagtagtggccacgccctatgaggcatatcctatcggaaaacaataccccccagtggcaagagtcaatgaatcgtttacatttcaaatttccaatgatacctataaatcgtctgtagacaagacagctcaaataacatacaattgcttcgacttaccgagctggctttcgtttgactctagttctagaacgttctcaggtgaaccttcttctgacttactatctgatgcgaacaccacgttgtatttcaatgtaatactcgagggtacggactctgccgacagcacgtctttgaacaatacataccaatttgttgttacaaaccgtccatccatctcgctatcgtcagatttcaatctattggcgttgttaaaaaactatggttatactaacggcaaaaacgctctgaaactagatcctaatgaagtcttcaacgtgacttttgaccgttcaatgttcactaacgaagaatccattgtgtcgtattacggacgttctcagttgtataatgcgccgttacccaattggctgttcttcgattctggcgagttgaagtttactgggacggcaccggtgataaactcggcgattgctccagaaacaagctacagttttgtcatcatcgctacagacattgaaggattttctgccgttgaggtagaattcgaattagtcatcggggctcaccagttaactacctctattcaaaatagtttgataatcaacgttactgacacaggtaacgtttcatatgacttacctctaaactatgtttatctcgatgacgatcctatttcttctgataaattgggttctataaacttattggatgctccagactgggtggcattagataatgctaccatttccgggtctgtcccagatgaattactcggtaagaactccaatcctgccaatttttctgtgtccatttatgatacttatggtgatgtgatttatttcaacttcgaagttgtctccacaacggatttgtttgccattagttctcttcccaatattaacgctacaaggggtgaatggttctcctactattttttgccttctcagtttacagactacgtgaatacaaacgtttcattagagtttactaattcaagccaagaccatgactgggtgaaattccaatcatctaatttaacattagctggagaagtgcccaagaatttcgacaagctttcattaggtttgaaagcgaaccaaggttcacaatctcaagagctatattttaacatcattggcatggattcaaagataactcactcaaaccacagtgcgaatgcaacgtccacaagaagttctcaccactccacctcaacaagttcttacacatcttctacttaccagtttatccattgcttccttcagtttggcttcactgtcttctagctgttgttctagatcctggtttttcttggtgtagttctcattattagatctcaagttattggagtcttcagccaattgctttgtatcagacaattgactctctaacttctccacttcactgtcgagttgctcgtttttagcggacaaagatttaatctcgttttctttttcagtgttagattgctctaattctttgagctgttctctcagctcctcatatttttcttgccatgactcagattctaattttaagctattcaatttctctttgatc"
dna_symbols = ['A', 'G', 'C', 'T']
distancePoint = [('N-ALA-1', 42.471, 29.826, 88.811), ('CA-ALA-1', 43.646, 30.725, 88.954), ('C-ALA-1', 44.095, 30.664, 90.419), ('O-ALA-1', 43.363, 30.177, 91.284),
('CB-ALA-1', 43.280, 32.145, 88.564), ('N-ASN-2', 45.290, 31.175, 90.697), ('CA-ASN-2', 45.839, 31.111, 92.046), ('C-ASN-2', 46.093, 32.391, 92.816),
('O-ASN-2', 46.812, 33.276, 92.355), ('CB-ASN-2', 47.141, 30.322, 92.019), ('CG-ASN-2', 46.929, 28.881, 91.678), ('OD1-ASN-2', 45.862, 28.322, 91.929),
('ND2-ASN-2', 47.940, 28.262, 91.099), ('N-ALA-3', 45.502, 32.474, 94.000), ('CA-ALA-3', 45.704, 33.611, 94.891), ('C-ALA-3', 46.318, 33.061, 96.196),
('O-ALA-3', 46.318, 31.847, 96.415), ('CB-ALA-3', 44.380, 34.287, 95.174), ('N-PHE-4', 46.834, 33.949, 97.048), ('CA-PHE-4', 47.440, 33.579, 98.331),
('C-PHE-4', 46.494, 32.722, 99.185), ('0-PHE-4', 45.371, 33.128, 99.497), ('CB-PHE-4', 47.860, 34.858, 99.094), ('CG-PHE-4', 48.252, 34.641, 100.527),
('CD1-PHE-4', 49.531, 34.210, 100.858), ('CD2-PHE-4', 47.337, 34.867, 101.550), ('CD1-PHE-4', 49.901, 34.019, 102.187), ('CE2-PHE-4', 47.696, 34.679, 102.884),
('CZ-PHE-4', 48.985, 34.262, 103.200), ('N-LEU-5', 46.973, 31.535, 99.553) ]
FastaF = [ '>MT dna_rm:chromosome chromosome:GRCh37:MT:1:16569:1', 'GATCACAGGTCTATCACCCTATTAACCACTCACGGGAGCTCTCCATGCATTTGGTATTTT', 'CGTCTGGGGGGTATGCACGCGATAGCATTGCGAGACGCTGGAGCCGGAGCACCCTATGTC',
'GCAGTATCTGTCTTTGATTCCTGCCTCATCCTATTATTTATCGCACCTACGTTCAATATT', 'ACAGGCGAACATACTTACTAAAGTGTGTTAATTAATTAATGCTTGTAGGACATAATAATA', 'ACAATTGAATGTCTGCACAGCCACTTTCCACACAGACATCATAACAAAAAATTTCCACCA',
'AACCCCCCCTCCCCCGCTTCTGGCCACAGCACTTAAACACATCTCTGCCAAACCCCAAAA', 'ACAAAGAACCCTAACACCAGCCTAACCAGATTTCAAATTTTATCTTTTGGCGGTATGCAC', 'TTTTAACAGTCACCCCCCAACTAACACATTATTTTCCCCTCCCACTCCCATACTACTAAT',
'CTCATCAATACAACCCCCGCCCATCCTACCCAGCACACACACACCGCTGCTAACCCCATA', 'CCCCGAACCAACCAAACCCCAAAGACACCCCCCACAGTTTATGTAGCTTACCTCCTCAAA', 'GCAATACACTGAAAATGTTTAGACGGGCTCACATCACCCCATAAACAAATAGGTTTGGTC',
'CTAGCCTTTCTATTAGCTCTTAGTAAGATTACACATGCAAGCATCCCCGTTCCAGTGAGT', 'TCACCCTCTAAATCACCACGATCAAAAGGAACAAGCATCAAGCACGCAGCAATGCAGCTC', 'AAAACGCTTAGCCTAGCCACACCCCCACGGGAAACAGCAGTGATTAACCTTTAGCAATAA',
'ACGAAAGTTTAACTAAGCTATACTAACCCCAGGGTTGGTCAATTTCGTGCCAGCCACCGC', 'GGTCACACGATTAACCCAAGTCAATAGAAGCCGGCGTAAAGAGTGTTTTAGATCACCCCC', 'TCCCCAATAAAGCTAAAACTCACCTGAGTTGTAAAAAACTCCAGTTGACACAAAATAGAC',
'TACGAAAGTGGCTTTAACATATCTGAACACACAATAGCTAAGACCCAAACTGGGATTAGA', 'TACCCCACTATGCTTAGCCCTAAACCTCAACAGTTAAATCAACAAAACTGCTCGCCAGAA', 'CACTACGAGCCACAGCTTAAAACTCAAAGGACCTGGCGGTGCTTCATATCCCTCTAGAGG',
'AGCCTGTTCTGTAATCGATAAACCCCGATCAACCTCACCACCTCTTGCTCAGCCTATATA', 'CCGCCATCTTCAGCAAACCCTGATGAAGGCTACAAAGTAAGCGCAAGTACCCACGTAAAG', 'ACGTTAGGTCAAGGTGTAGCCCATGAGGTGGCAAGAAATGGGCTACATTTTCTACCCCAG',
'AAAACTACGATAGCCCTTATGAAACTTAAGGGTCGAAGGTGGATTTAGCAGTAAACTAAG', 'AGTAGAGTGCTTAGTTGAACAGGGCCCTGAAGCGCGTACACACCGCCCGTCACCCTCCTC', 'AAGTATACTTCAAAGGACATTTAACTAAAACCCCTACGCATTTATATAGAGGAGACAAGT',
'CGTAACATGGTAAGTGTACTGGAAAGTGCACTTGGACGAACCAGAGTGTAGCTTAACACA', 'AAGCACCCAACTTACACTTAGGAGATTTCAACTTAACTTGACCGCTCTGAGCTAAACCTA', 'GCCCCAAACCCACTCCACCTTACTACCAGACAACCTTAGCCAAACCATTTACCCAAATAA',
'AGTATAGGCGATAGAAATTGAAACCTGGCGCAATAGATATAGTACCGCAAGGGAAAGATG', 'AAAAATTATAACCAAGCATAATATAGCAAGGACTAACCCCTATACCTTCTGCATAATGAA', 'TTAACTAGAAATAACTTTGCAAGGAGAGCCAAAGCTAAGACCCCCGAAACCAGACGAGCT',
'ACCTAAGAACAGCTAAAAGAGCACACCCGTCTATGTAGCAAAATAGTGGGAAGATTTATA', 'GGTAGAGGCGACAAACCTACCGAGCCTGGTGATAGCTGGTTGTCCAAGATAGAATCTTAG', 'TTCAACTTTAAATTTGCCCACAGAACCCTCTAAATCCCCTTGTAAATTTAACTGTTAGTC',
'CAAAGAGGAACAGCTCTTTGGACACTAGGAAAAAACCTTGTAGAGAGAGTAAAAAATTTA', 'ACACCCATAGTAGGCCTAAAAGCAGCCACCAATTAAGAAAGCGTTCAAGCTCAACACCCA', 'CTACCTAAAAAATCCCAAACATATAACTGAACTCCTCACACCCAATTGGACCAATCTATC',
'ACCCTATAGAAGAACTAATGTTAGTATAAGTAACATGAAAACATTCTCCTCCGCATAAGC', 'CTGCGTCAGATTAAAACACTGAACTGACAATTAACAGCCCAATATCTACAATCAACCAAC', 'AAGTCATTATTACCCTCACTGTCAACCCAACACAGGCATGCTCATAAGGAAAGGTTAAAA',
'AAAGTAAAAGGAACTCGGCAAATCTTACCCCGCCTGTTTACCAAAAACATCACCTCTAGC', 'ATCACCAGTATTAGAGGCACCGCCTGCCCAGTGACACATGTTTAACGGCCGCGGTACCCT', 'AACCGTGCAAAGGTAGCATAATCACTTGTTCCTTAAATAGGGACCTGTATGAATGGCTCC',
'ACGAGGGTTCAGCTGTCTCTTACTTTTAACCAGTGAAATTGACCTGCCCGTGAAGAGGCG' ]
SIMBOLI2 = {'ALA':'A','CYS':'C','ASP':'D',
'GLU':'E','PHE':'F','GLY':'G',
'HIS':'H','LYS':'K','ILE':'I',
'LEU':'L','MET':'M','ASN':'N',
'PRO':'P','GLN':'Q','ARG':'R',
'SER':'S','THR':'T','VAL':'V',
'TYR':'Y','TRP':'W','XXX':'X'}
propensities = {'N' : 0.22989, 'P': 0.55232, 'Q': -0.187677,
'A': -0.26154, 'R': -0.17659, 'S': 0.14288,
'C': -0.015152,'T': 0.0088780, 'D': 0.22763,
'E': -0.20469, 'V': -0.38618, 'F': -0.22557,
'W': -0.243375,'G': 0.43323, 'H': -0.0012174,
'Y': -0.20751, 'I': -0.42224, 'K': -0.100092,
'L': -0.33793,'M': -0.22590}
codonAMINO = { 'GCU':'A','GCC':'A','GCA':'A', 'GCG':'A',
'CGU':'R','CGC':'R','CGA':'R', 'CGG':'R', 'AGA':'R', 'AGG':'R',
'AAU':'N','AAC':'N',
'GAU':'D','GAC':'D',
'UGU':'C','UGC':'C',
'CAA':'Q','CAG':'Q',
'GAA':'E','GAG':'E',
'GGU':'G','GGC':'G','GGA':'G', 'GGG':'G',
'CAU':'H','CAC':'H',
'AUU':'I','AUC':'I', 'AUA':'I',
'UUA':'L','UUG':'L','CUU':'L', 'CUC':'L', 'CUA':'L', 'CUG':'L',
'AAA':'K','AAG':'K',
'AUG':'M',
'UUU':'F','UUC':'F',
'CCU':'P','CCC':'P','CCA':'P','CCG':'P',
'UCU':'S','UCC':'S','UCA':'S','UCG':'S','AGU':'S', 'AGC':'S',
'ACU':'T','ACC':'T','ACA':'T','ACG':'T',
'UGG':'W',
'UAU':'Y', 'UAC':'Y',
'GUU':'V', 'GUC':'V', 'GUA':'V', 'GUG':'V',
'UAG':'STOP', 'UGA':'STOP', 'UAA':'STOP' }
| 113.21519 | 2,432 | 0.767889 | 627 | 8,944 | 10.940989 | 0.519936 | 0.006414 | 0.003499 | 0.002624 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.077167 | 0.084302 | 8,944 | 78 | 2,433 | 114.666667 | 0.76044 | 0.00559 | 0 | 0 | 0 | 0 | 0.703393 | 0.627596 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 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 |
5cffede6b2f559d0288fe212e4c318e188624331 | 196 | py | Python | web/modeltr/__init__.py | LaudateCorpus1/labmanager-unit-vsphere | e02819c15c9bedfd1cbd783465f03c3d351addb9 | [
"Apache-2.0"
] | 1 | 2020-03-03T06:56:40.000Z | 2020-03-03T06:56:40.000Z | web/modeltr/__init__.py | LaudateCorpus1/labmanager-unit-vsphere | e02819c15c9bedfd1cbd783465f03c3d351addb9 | [
"Apache-2.0"
] | 13 | 2019-03-20T08:37:16.000Z | 2021-10-15T08:38:31.000Z | web/modeltr/__init__.py | LaudateCorpus1/labmanager-unit-vsphere | e02819c15c9bedfd1cbd783465f03c3d351addb9 | [
"Apache-2.0"
] | 3 | 2019-02-07T08:28:59.000Z | 2022-02-05T09:05:14.000Z | from .enums import *
from .connection import *
from .document import *
from .machine import *
from .request import *
from .action import *
from .screenshot import *
from .snapshot import Snapshot
| 21.777778 | 30 | 0.760204 | 25 | 196 | 5.96 | 0.4 | 0.469799 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.163265 | 196 | 8 | 31 | 24.5 | 0.908537 | 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 |
cf34db69f4424326807f100c9e6659916cb3023f | 2,096 | py | Python | tests/unitary/Minter/test_inflation_delay.py | hedgx/ribbonomics | 84a212a82eaaa2824ebe3c072413e143eaca02a2 | [
"MIT"
] | 2 | 2022-01-13T21:11:30.000Z | 2022-03-10T08:20:42.000Z | tests/unitary/Minter/test_inflation_delay.py | hedgx/ribbonomics | 84a212a82eaaa2824ebe3c072413e143eaca02a2 | [
"MIT"
] | null | null | null | tests/unitary/Minter/test_inflation_delay.py | hedgx/ribbonomics | 84a212a82eaaa2824ebe3c072413e143eaca02a2 | [
"MIT"
] | 2 | 2022-01-30T20:54:55.000Z | 2022-03-05T17:49:19.000Z | WEEK = 86400 * 7
def test_rate(accounts, chain, three_gauges, minter, token):
assert minter.rate() == 0
chain.sleep(86401)
minter.update_mining_parameters({"from": accounts[0]})
assert minter.rate() > 0
# changes to new rate
def test_commit_next_emission(accounts, chain, three_gauges, minter, token):
chain.sleep(86401)
minter.update_mining_parameters({"from": accounts[0]})
assert minter.rate() == 413359788359788359
minter.commit_next_emission(9_000_000 * 10 ** 18, {"from": accounts[0]})
assert minter.committed_rate() == 14880952380952380952
assert minter.rate() == 413359788359788359
chain.sleep(1209601)
minter.update_mining_parameters({"from": accounts[0]})
assert minter.committed_rate() != 9_000_000 * 10 ** 18 / WEEK
assert minter.rate() == 14880952380952380952
# changes to new rate
def test_commit_next_emission_zero(accounts, chain, three_gauges, minter, token):
chain.sleep(86401)
minter.update_mining_parameters({"from": accounts[0]})
assert minter.rate() == 413359788359788359
minter.commit_next_emission(0, {"from": accounts[0]})
assert minter.committed_rate() == 0
assert minter.rate() == 413359788359788359
chain.sleep(1209601)
minter.update_mining_parameters({"from": accounts[0]})
assert minter.committed_rate() != 0
assert minter.rate() == 0
chain.sleep(1209601)
minter.update_mining_parameters({"from": accounts[0]})
assert minter.committed_rate() != 0
assert minter.rate() == 0
def test_start_epoch_time(accounts, chain, three_gauges, minter, token):
creation_time = minter.start_epoch_time()
assert creation_time == minter.tx.timestamp + 86400 - WEEK * 2
chain.sleep(86401)
minter.update_mining_parameters({"from": accounts[0]})
assert minter.start_epoch_time() == creation_time + WEEK * 2
def test_mining_epoch(accounts, chain, three_gauges, minter, token):
assert minter.mining_epoch() == -1
chain.sleep(86401)
minter.update_mining_parameters({"from": accounts[0]})
assert minter.mining_epoch() == 0
| 31.757576 | 81 | 0.709924 | 264 | 2,096 | 5.424242 | 0.162879 | 0.142458 | 0.118017 | 0.132682 | 0.820531 | 0.804469 | 0.776536 | 0.75 | 0.684358 | 0.627095 | 0 | 0.12116 | 0.16126 | 2,096 | 65 | 82 | 32.246154 | 0.693402 | 0.018607 | 0 | 0.581395 | 0 | 0 | 0.019474 | 0 | 0 | 0 | 0 | 0 | 0.418605 | 1 | 0.116279 | false | 0 | 0 | 0 | 0.116279 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
cf41b029325d98aeac487ae0470049764227984c | 8,088 | py | Python | tests/cli/test_agent.py | aliza-miller/prefect | a537e20a8b81192f12a7df575897596347b8a307 | [
"Apache-2.0"
] | null | null | null | tests/cli/test_agent.py | aliza-miller/prefect | a537e20a8b81192f12a7df575897596347b8a307 | [
"Apache-2.0"
] | null | null | null | tests/cli/test_agent.py | aliza-miller/prefect | a537e20a8b81192f12a7df575897596347b8a307 | [
"Apache-2.0"
] | null | null | null | from unittest.mock import MagicMock
from click.testing import CliRunner
import pytest
from prefect.cli.agent import agent
pytest.importorskip("boto3")
pytest.importorskip("botocore")
pytest.importorskip("kubernetes")
def test_agent_init():
runner = CliRunner()
result = runner.invoke(agent)
assert result.exit_code == 0
assert "Manage Prefect agents." in result.output
def test_agent_help():
runner = CliRunner()
result = runner.invoke(agent, ["--help"])
assert result.exit_code == 0
assert "Manage Prefect agents." in result.output
def test_agent_start_fails_no_token(monkeypatch):
start = MagicMock()
monkeypatch.setattr("prefect.agent.local.LocalAgent.start", start)
docker_client = MagicMock()
monkeypatch.setattr("prefect.agent.local.agent.docker.APIClient", docker_client)
runner = CliRunner()
result = runner.invoke(agent, ["start"])
assert result.exit_code == 1
def test_agent_start_token(monkeypatch, runner_token):
start = MagicMock()
monkeypatch.setattr("prefect.agent.local.LocalAgent.start", start)
docker_client = MagicMock()
monkeypatch.setattr("prefect.agent.local.agent.docker.APIClient", docker_client)
runner = CliRunner()
result = runner.invoke(agent, ["start", "-t", "test"])
assert result.exit_code == 0
def test_agent_start_verbose(monkeypatch, runner_token):
start = MagicMock()
monkeypatch.setattr("prefect.agent.local.LocalAgent.start", start)
docker_client = MagicMock()
monkeypatch.setattr("prefect.agent.local.agent.docker.APIClient", docker_client)
runner = CliRunner()
result = runner.invoke(agent, ["start", "-v"])
assert result.exit_code == 0
def test_agent_start_local(monkeypatch, runner_token):
start = MagicMock()
monkeypatch.setattr("prefect.agent.local.LocalAgent.start", start)
docker_client = MagicMock()
monkeypatch.setattr("prefect.agent.local.agent.docker.APIClient", docker_client)
runner = CliRunner()
result = runner.invoke(agent, ["start", "local"])
assert result.exit_code == 0
def test_agent_start_kubernetes(monkeypatch, runner_token):
start = MagicMock()
monkeypatch.setattr("prefect.agent.kubernetes.KubernetesAgent.start", start)
k8s_config = MagicMock()
monkeypatch.setattr("kubernetes.config", k8s_config)
runner = CliRunner()
result = runner.invoke(agent, ["start", "kubernetes"])
assert result.exit_code == 0
def test_agent_start_kubernetes_kwargs_ignored(monkeypatch, runner_token):
start = MagicMock()
monkeypatch.setattr("prefect.agent.kubernetes.KubernetesAgent.start", start)
k8s_config = MagicMock()
monkeypatch.setattr("kubernetes.config", k8s_config)
runner = CliRunner()
result = runner.invoke(agent, ["start", "kubernetes", "test_kwarg=ignored"])
assert result.exit_code == 0
def test_agent_start_fargate(monkeypatch, runner_token):
start = MagicMock()
monkeypatch.setattr("prefect.agent.fargate.FargateAgent.start", start)
boto3_client = MagicMock()
monkeypatch.setattr("boto3.client", boto3_client)
runner = CliRunner()
result = runner.invoke(agent, ["start", "fargate"])
assert result.exit_code == 0
def test_agent_start_fargate_kwargs(monkeypatch, runner_token):
start = MagicMock()
monkeypatch.setattr("prefect.agent.fargate.FargateAgent.start", start)
boto3_client = MagicMock()
monkeypatch.setattr("boto3.client", boto3_client)
runner = CliRunner()
result = runner.invoke(agent, ["start", "fargate", "taskRoleArn=test"])
assert result.exit_code == 0
def test_agent_start_fargate_kwargs_received(monkeypatch, runner_token):
start = MagicMock()
monkeypatch.setattr("prefect.agent.fargate.FargateAgent.start", start)
fargate_agent = MagicMock()
monkeypatch.setattr("prefect.agent.fargate.FargateAgent", fargate_agent)
boto3_client = MagicMock()
monkeypatch.setattr("boto3.client", boto3_client)
runner = CliRunner()
result = runner.invoke(
agent, ["start", "fargate", "taskRoleArn=arn", "--volumes=vol"]
)
assert result.exit_code == 0
assert fargate_agent.called
fargate_agent.assert_called_with(
labels=[], name=None, taskRoleArn="arn", volumes="vol"
)
def test_agent_start_name(monkeypatch, runner_token):
start = MagicMock()
monkeypatch.setattr("prefect.agent.local.LocalAgent.start", start)
docker_client = MagicMock()
monkeypatch.setattr("prefect.agent.local.agent.docker.APIClient", docker_client)
runner = CliRunner()
result = runner.invoke(agent, ["start", "--name", "test_agent"])
assert result.exit_code == 0
def test_agent_start_local_vars(monkeypatch, runner_token):
start = MagicMock()
monkeypatch.setattr("prefect.agent.local.LocalAgent.start", start)
docker_client = MagicMock()
monkeypatch.setattr("prefect.agent.local.agent.docker.APIClient", docker_client)
runner = CliRunner()
result = runner.invoke(
agent, ["start", "-t", "test", "--base-url", "url", "--no-pull"]
)
assert result.exit_code == 0
def test_agent_start_local_labels(monkeypatch, runner_token):
start = MagicMock()
monkeypatch.setattr("prefect.agent.local.LocalAgent.start", start)
docker_client = MagicMock()
monkeypatch.setattr("prefect.agent.local.agent.docker.APIClient", docker_client)
runner = CliRunner()
result = runner.invoke(
agent, ["start", "-t", "test", "--label", "label1", "-l", "label2"]
)
assert result.exit_code == 0
def test_agent_start_fails(monkeypatch):
start = MagicMock()
monkeypatch.setattr("prefect.agent.local.LocalAgent.start", start)
docker_client = MagicMock()
monkeypatch.setattr("prefect.agent.local.agent.docker.APIClient", docker_client)
runner = CliRunner()
result = runner.invoke(agent, ["start", "TEST"])
assert result.exit_code == 0
assert "TEST is not a valid agent" in result.output
def test_agent_install():
runner = CliRunner()
result = runner.invoke(agent, ["install"])
assert result.exit_code == 0
assert "apiVersion" in result.output
def test_agent_install_kubernetes():
runner = CliRunner()
result = runner.invoke(agent, ["install", "kubernetes"])
assert result.exit_code == 0
assert "apiVersion" in result.output
def test_agent_install_fails_non_valid_agent():
runner = CliRunner()
result = runner.invoke(agent, ["install", "fake_agent"])
assert result.exit_code == 0
assert "fake_agent is not a supported agent for `install`" in result.output
def test_agent_install_passes_args():
runner = CliRunner()
result = runner.invoke(
agent,
[
"install",
"--token",
"TEST_TOKEN",
"--api",
"TEST_API",
"--namespace",
"TEST_NAMESPACE",
"--resource-manager",
"--image-pull-secrets",
"secret-test",
"--label",
"test_label1",
"-l",
"test_label2",
],
)
assert result.exit_code == 0
assert "TEST_TOKEN" in result.output
assert "TEST_API" in result.output
assert "TEST_NAMESPACE" in result.output
assert "resource-manager" in result.output
assert "secret-test" in result.output
assert "test_label1" in result.output
assert "test_label2" in result.output
def test_agent_install_no_resource_manager():
runner = CliRunner()
result = runner.invoke(
agent,
[
"install",
"--token",
"TEST_TOKEN",
"--api",
"TEST_API",
"--namespace",
"TEST_NAMESPACE",
"--image-pull-secrets",
"secret-test",
],
)
assert result.exit_code == 0
assert "TEST_TOKEN" in result.output
assert "TEST_API" in result.output
assert "TEST_NAMESPACE" in result.output
assert not "resource-manager" in result.output
assert "secret-test" in result.output
| 29.735294 | 84 | 0.680762 | 913 | 8,088 | 5.860898 | 0.099671 | 0.100916 | 0.136236 | 0.139787 | 0.877219 | 0.859092 | 0.835732 | 0.774248 | 0.766959 | 0.759858 | 0 | 0.006137 | 0.194115 | 8,088 | 271 | 85 | 29.845018 | 0.814821 | 0 | 0 | 0.65 | 0 | 0 | 0.220697 | 0.107567 | 0 | 0 | 0 | 0 | 0.2 | 1 | 0.1 | false | 0.005 | 0.035 | 0 | 0.135 | 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 |
cf5a896568977f1db0de74ce4c22d96cf841b22d | 1,889 | py | Python | helper.py | akarp0v/orderbook | 0f4c4aeff5cbf5a9fcac52de1e8e2ca3dc0d4521 | [
"MIT"
] | null | null | null | helper.py | akarp0v/orderbook | 0f4c4aeff5cbf5a9fcac52de1e8e2ca3dc0d4521 | [
"MIT"
] | null | null | null | helper.py | akarp0v/orderbook | 0f4c4aeff5cbf5a9fcac52de1e8e2ca3dc0d4521 | [
"MIT"
] | null | null | null | from order_book import OrderBook
class Helper:
@staticmethod
def try_to_set_ask(book: OrderBook, price: float, quantity: int) -> str:
try:
book.set_ask(price, quantity)
except ValueError as err:
return err.__str__()
except Exception as exp:
return exp.__str__()
@staticmethod
def try_to_set_bid(book: OrderBook, price: float, quantity: int) -> str:
try:
book.set_bid(price, quantity)
except ValueError as err:
return err.__str__()
except Exception as exp:
return exp.__str__()
@staticmethod
def try_to_get_ask(book: OrderBook, ask_id: int) -> str:
try:
book.get_ask(ask_id)
except ValueError as err:
return err.__str__()
except Exception as exp:
return exp.__str__()
@staticmethod
def try_to_get_bid(book: OrderBook, bid_id: int) -> str:
try:
book.get_bid(bid_id)
except ValueError as err:
return err.__str__()
except Exception as exp:
return exp.__str__()
@staticmethod
def try_to_del_ask(book: OrderBook, ask_id: int) -> str:
try:
book.del_ask(ask_id)
except ValueError as err:
return err.__str__()
except Exception as exp:
return exp.__str__()
@staticmethod
def try_to_del_bid(book: OrderBook, bid_id: int) -> str:
try:
book.del_bid(bid_id)
except ValueError as err:
return err.__str__()
except Exception as exp:
return exp.__str__()
@staticmethod
def is_sorted_by_price(objects: list) -> bool:
for i in range(len(objects)-1):
if objects[i]['price'] > objects[i+1]['price']:
return False
else:
return True
| 28.621212 | 76 | 0.573849 | 230 | 1,889 | 4.347826 | 0.195652 | 0.105 | 0.108 | 0.12 | 0.843 | 0.817 | 0.805 | 0.805 | 0.805 | 0.669 | 0 | 0.001605 | 0.340392 | 1,889 | 65 | 77 | 29.061538 | 0.800963 | 0 | 0 | 0.649123 | 0 | 0 | 0.005294 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.122807 | false | 0 | 0.017544 | 0 | 0.403509 | 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 |
d8904c31d95df02e2db3a2b113f3cef7ace4c60e | 1,003 | py | Python | extensions/.stubs/clrclasses/Autodesk/AutoCAD/__init__.py | vicwjb/Pycad | 7391cd694b7a91ad9f9964ec95833c1081bc1f84 | [
"MIT"
] | 1 | 2020-03-25T03:27:24.000Z | 2020-03-25T03:27:24.000Z | extensions/.stubs/clrclasses/Autodesk/AutoCAD/__init__.py | vicwjb/Pycad | 7391cd694b7a91ad9f9964ec95833c1081bc1f84 | [
"MIT"
] | null | null | null | extensions/.stubs/clrclasses/Autodesk/AutoCAD/__init__.py | vicwjb/Pycad | 7391cd694b7a91ad9f9964ec95833c1081bc1f84 | [
"MIT"
] | null | null | null | import __clrclasses__.Autodesk.AutoCAD.DatabaseServices as DatabaseServices
import __clrclasses__.Autodesk.AutoCAD.Geometry as Geometry
import __clrclasses__.Autodesk.AutoCAD.GraphicsInterface as GraphicsInterface
import __clrclasses__.Autodesk.AutoCAD.Colors as Colors
import __clrclasses__.Autodesk.AutoCAD.LayerManager as LayerManager
import __clrclasses__.Autodesk.AutoCAD.ComponentModel as ComponentModel
import __clrclasses__.Autodesk.AutoCAD.Windows as Windows
import __clrclasses__.Autodesk.AutoCAD.Internal as Internal
import __clrclasses__.Autodesk.AutoCAD.ApplicationServices as ApplicationServices
import __clrclasses__.Autodesk.AutoCAD.EditorInput as EditorInput
import __clrclasses__.Autodesk.AutoCAD.Runtime as Runtime
import __clrclasses__.Autodesk.AutoCAD.PlottingServices as PlottingServices
import __clrclasses__.Autodesk.AutoCAD.Publishing as Publishing
import __clrclasses__.Autodesk.AutoCAD.GraphicsSystem as GraphicsSystem
from __clrclasses__.Autodesk.AutoCAD import UniqueString
| 62.6875 | 81 | 0.896311 | 104 | 1,003 | 8.067308 | 0.201923 | 0.321812 | 0.446961 | 0.517282 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.059821 | 1,003 | 15 | 82 | 66.866667 | 0.889714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 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 |
d8aef5ecfaacba6e5cad207a7829f07958167cce | 38,187 | py | Python | tests/backward_conv.py | airbus/decomon | f3668fbd8edd0def4e23aa0634eebfec58349c35 | [
"MIT"
] | 11 | 2021-11-03T12:09:50.000Z | 2022-02-20T21:42:13.000Z | tests/backward_conv.py | airbus/decomon | f3668fbd8edd0def4e23aa0634eebfec58349c35 | [
"MIT"
] | 1 | 2022-02-18T13:40:46.000Z | 2022-02-18T13:40:46.000Z | tests/backward_conv.py | airbus/decomon | f3668fbd8edd0def4e23aa0634eebfec58349c35 | [
"MIT"
] | null | null | null | # Test unit for decomon with Dense layers
from __future__ import absolute_import
import pytest
import numpy as np
from . import (
get_standard_values_images_box,
get_tensor_decomposition_images_box,
assert_output_properties_box_linear,
)
import tensorflow.python.keras.backend as K
from tensorflow.keras.layers import Input
from decomon.layers.decomon_layers import DecomonConv2D
from decomon.backward_layers.backward_layers import get_backward
@pytest.mark.parametrize(
"data_format, odd, m_0, m_1, activation, padding, use_bias, mode, floatx, previous",
[
("channels_last", 0, 0, 1, None, "same", True, "hybrid", 32, True),
("channels_last", 0, 0, 1, "linear", "same", True, "hybrid", 32, True),
("channels_last", 0, 0, 1, "relu", "same", True, "hybrid", 32, True),
("channels_last", 0, 0, 1, None, "valid", True, "hybrid", 32, True),
("channels_last", 0, 0, 1, "linear", "valid", True, "hybrid", 32, True),
("channels_last", 0, 0, 1, "relu", "valid", True, "hybrid", 32, True),
("channels_first", 0, 0, 1, None, "same", True, "hybrid", 32, True),
("channels_first", 0, 0, 1, "linear", "same", True, "hybrid", 32, True),
("channels_first", 0, 0, 1, "relu", "same", True, "hybrid", 32, True),
("channels_first", 0, 0, 1, None, "valid", True, "hybrid", 32, True),
("channels_first", 0, 0, 1, "linear", "valid", True, "hybrid", 32, True),
("channels_first", 0, 0, 1, "relu", "valid", True, "hybrid", 32, True),
("channels_last", 0, 0, 1, None, "same", False, "hybrid", 32, True),
("channels_last", 0, 0, 1, "linear", "same", False, "hybrid", 32, True),
("channels_last", 0, 0, 1, "relu", "same", False, "hybrid", 32, True),
("channels_last", 0, 0, 1, None, "valid", False, "hybrid", 32, True),
("channels_last", 0, 0, 1, "linear", "valid", False, "hybrid", 32, True),
("channels_last", 0, 0, 1, "relu", "valid", False, "hybrid", 32, True),
("channels_first", 0, 0, 1, None, "same", False, "hybrid", 32, True),
("channels_first", 0, 0, 1, "linear", "same", False, "hybrid", 32, True),
("channels_first", 0, 0, 1, "relu", "same", False, "hybrid", 32, True),
("channels_first", 0, 0, 1, None, "valid", False, "hybrid", 32, True),
("channels_first", 0, 0, 1, "linear", "valid", False, "hybrid", 32, True),
("channels_first", 0, 0, 1, "relu", "valid", False, "hybrid", 32, True),
("channels_last", 0, 0, 1, None, "same", True, "forward", 32, True),
("channels_last", 0, 0, 1, "linear", "same", True, "forward", 32, True),
("channels_last", 0, 0, 1, "relu", "same", True, "forward", 32, True),
("channels_last", 0, 0, 1, None, "valid", True, "forward", 32, True),
("channels_last", 0, 0, 1, "linear", "valid", True, "forward", 32, True),
("channels_last", 0, 0, 1, "relu", "valid", True, "forward", 32, True),
("channels_first", 0, 0, 1, None, "same", True, "forward", 32, True),
("channels_first", 0, 0, 1, "linear", "same", True, "forward", 32, True),
("channels_first", 0, 0, 1, "relu", "same", True, "forward", 32, True),
("channels_first", 0, 0, 1, None, "valid", True, "forward", 32, True),
("channels_first", 0, 0, 1, "linear", "valid", True, "forward", 32, True),
("channels_first", 0, 0, 1, "relu", "valid", True, "forward", 32, True),
("channels_last", 0, 0, 1, None, "same", False, "forward", 32, True),
("channels_last", 0, 0, 1, "linear", "same", False, "forward", 32, True),
("channels_last", 0, 0, 1, "relu", "same", False, "forward", 32, True),
("channels_last", 0, 0, 1, None, "valid", False, "forward", 32, True),
("channels_last", 0, 0, 1, "linear", "valid", False, "forward", 32, True),
("channels_last", 0, 0, 1, "relu", "valid", False, "forward", 32, True),
("channels_first", 0, 0, 1, None, "same", False, "forward", 32, True),
("channels_first", 0, 0, 1, "linear", "same", False, "forward", 32, True),
("channels_first", 0, 0, 1, "relu", "same", False, "forward", 32, True),
("channels_first", 0, 0, 1, None, "valid", False, "forward", 32, True),
("channels_first", 0, 0, 1, "linear", "valid", False, "forward", 32, True),
("channels_first", 0, 0, 1, "relu", "valid", False, "forward", 32, True),
("channels_last", 0, 0, 1, None, "same", True, "ibp", 32, True),
("channels_last", 0, 0, 1, "linear", "same", True, "ibp", 32, True),
("channels_last", 0, 0, 1, "relu", "same", True, "ibp", 32, True),
("channels_last", 0, 0, 1, None, "valid", True, "ibp", 32, True),
("channels_last", 0, 0, 1, "linear", "valid", True, "ibp", 32, True),
("channels_last", 0, 0, 1, "relu", "valid", True, "ibp", 32, True),
("channels_first", 0, 0, 1, None, "same", True, "ibp", 32, True),
("channels_first", 0, 0, 1, "linear", "same", True, "ibp", 32, True),
("channels_first", 0, 0, 1, "relu", "same", True, "ibp", 32, True),
("channels_first", 0, 0, 1, None, "valid", True, "ibp", 32, True),
("channels_first", 0, 0, 1, "linear", "valid", True, "ibp", 32, True),
("channels_first", 0, 0, 1, "relu", "valid", True, "ibp", 32, True),
("channels_last", 0, 0, 1, None, "same", False, "ibp", 32, True),
("channels_last", 0, 0, 1, "linear", "same", False, "ibp", 32, True),
("channels_last", 0, 0, 1, "relu", "same", False, "ibp", 32, True),
("channels_last", 0, 0, 1, None, "valid", False, "ibp", 32, True),
("channels_last", 0, 0, 1, "linear", "valid", False, "ibp", 32, True),
("channels_last", 0, 0, 1, "relu", "valid", False, "ibp", 32, True),
("channels_first", 0, 0, 1, None, "same", False, "ibp", 32, True),
("channels_first", 0, 0, 1, "linear", "same", False, "ibp", 32, True),
("channels_first", 0, 0, 1, "relu", "same", False, "ibp", 32, True),
("channels_first", 0, 0, 1, None, "valid", False, "ibp", 32, True),
("channels_first", 0, 0, 1, "linear", "valid", False, "ibp", 32, True),
("channels_first", 0, 0, 1, "relu", "valid", False, "ibp", 32, True),
("channels_last", 0, 0, 1, None, "same", True, "hybrid", 64, True),
("channels_last", 0, 0, 1, "linear", "same", True, "hybrid", 64, True),
("channels_last", 0, 0, 1, "relu", "same", True, "hybrid", 64, True),
("channels_last", 0, 0, 1, None, "valid", True, "hybrid", 64, True),
("channels_last", 0, 0, 1, "linear", "valid", True, "hybrid", 64, True),
("channels_last", 0, 0, 1, "relu", "valid", True, "hybrid", 64, True),
("channels_first", 0, 0, 1, None, "same", True, "hybrid", 64, True),
("channels_first", 0, 0, 1, "linear", "same", True, "hybrid", 64, True),
("channels_first", 0, 0, 1, "relu", "same", True, "hybrid", 64, True),
("channels_first", 0, 0, 1, None, "valid", True, "hybrid", 64, True),
("channels_first", 0, 0, 1, "linear", "valid", True, "hybrid", 64, True),
("channels_first", 0, 0, 1, "relu", "valid", True, "hybrid", 64, True),
("channels_last", 0, 0, 1, None, "same", False, "hybrid", 64, True),
("channels_last", 0, 0, 1, "linear", "same", False, "hybrid", 64, True),
("channels_last", 0, 0, 1, "relu", "same", False, "hybrid", 64, True),
("channels_last", 0, 0, 1, None, "valid", False, "hybrid", 64, True),
("channels_last", 0, 0, 1, "linear", "valid", False, "hybrid", 64, True),
("channels_last", 0, 0, 1, "relu", "valid", False, "hybrid", 64, True),
("channels_first", 0, 0, 1, None, "same", False, "hybrid", 64, True),
("channels_first", 0, 0, 1, "linear", "same", False, "hybrid", 64, True),
("channels_first", 0, 0, 1, "relu", "same", False, "hybrid", 64, True),
("channels_first", 0, 0, 1, None, "valid", False, "hybrid", 64, True),
("channels_first", 0, 0, 1, "linear", "valid", False, "hybrid", 64, True),
("channels_first", 0, 0, 1, "relu", "valid", False, "hybrid", 64, True),
("channels_last", 0, 0, 1, None, "same", True, "forward", 64, True),
("channels_last", 0, 0, 1, "linear", "same", True, "forward", 64, True),
("channels_last", 0, 0, 1, "relu", "same", True, "forward", 64, True),
("channels_last", 0, 0, 1, None, "valid", True, "forward", 64, True),
("channels_last", 0, 0, 1, "linear", "valid", True, "forward", 64, True),
("channels_last", 0, 0, 1, "relu", "valid", True, "forward", 64, True),
("channels_first", 0, 0, 1, None, "same", True, "forward", 64, True),
("channels_first", 0, 0, 1, "linear", "same", True, "forward", 64, True),
("channels_first", 0, 0, 1, "relu", "same", True, "forward", 64, True),
("channels_first", 0, 0, 1, None, "valid", True, "forward", 64, True),
("channels_first", 0, 0, 1, "linear", "valid", True, "forward", 64, True),
("channels_first", 0, 0, 1, "relu", "valid", True, "forward", 64, True),
("channels_last", 0, 0, 1, None, "same", False, "forward", 64, True),
("channels_last", 0, 0, 1, "linear", "same", False, "forward", 64, True),
("channels_last", 0, 0, 1, "relu", "same", False, "forward", 64, True),
("channels_last", 0, 0, 1, None, "valid", False, "forward", 64, True),
("channels_last", 0, 0, 1, "linear", "valid", False, "forward", 64, True),
("channels_last", 0, 0, 1, "relu", "valid", False, "forward", 64, True),
("channels_first", 0, 0, 1, None, "same", False, "forward", 64, True),
("channels_first", 0, 0, 1, "linear", "same", False, "forward", 64, True),
("channels_first", 0, 0, 1, "relu", "same", False, "forward", 64, True),
("channels_first", 0, 0, 1, None, "valid", False, "forward", 64, True),
("channels_first", 0, 0, 1, "linear", "valid", False, "forward", 64, True),
("channels_first", 0, 0, 1, "relu", "valid", False, "forward", 64, True),
("channels_last", 0, 0, 1, None, "same", True, "ibp", 64, True),
("channels_last", 0, 0, 1, "linear", "same", True, "ibp", 64, True),
("channels_last", 0, 0, 1, "relu", "same", True, "ibp", 64, True),
("channels_last", 0, 0, 1, None, "valid", True, "ibp", 64, True),
("channels_last", 0, 0, 1, "linear", "valid", True, "ibp", 64, True),
("channels_last", 0, 0, 1, "relu", "valid", True, "ibp", 64, True),
("channels_first", 0, 0, 1, None, "same", True, "ibp", 64, True),
("channels_first", 0, 0, 1, "linear", "same", True, "ibp", 64, True),
("channels_first", 0, 0, 1, "relu", "same", True, "ibp", 64, True),
("channels_first", 0, 0, 1, None, "valid", True, "ibp", 64, True),
("channels_first", 0, 0, 1, "linear", "valid", True, "ibp", 64, True),
("channels_first", 0, 0, 1, "relu", "valid", True, "ibp", 64, True),
("channels_last", 0, 0, 1, None, "same", False, "ibp", 64, True),
("channels_last", 0, 0, 1, "linear", "same", False, "ibp", 64, True),
("channels_last", 0, 0, 1, "relu", "same", False, "ibp", 64, True),
("channels_last", 0, 0, 1, None, "valid", False, "ibp", 64, True),
("channels_last", 0, 0, 1, "linear", "valid", False, "ibp", 64, True),
("channels_last", 0, 0, 1, "relu", "valid", False, "ibp", 64, True),
("channels_first", 0, 0, 1, None, "same", False, "ibp", 64, True),
("channels_first", 0, 0, 1, "linear", "same", False, "ibp", 64, True),
("channels_first", 0, 0, 1, "relu", "same", False, "ibp", 64, True),
("channels_first", 0, 0, 1, None, "valid", False, "ibp", 64, True),
("channels_first", 0, 0, 1, "linear", "valid", False, "ibp", 64, True),
("channels_first", 0, 0, 1, "relu", "valid", False, "ibp", 64, True),
("channels_last", 0, 0, 1, None, "same", True, "hybrid", 16, True),
("channels_last", 0, 0, 1, "linear", "same", True, "hybrid", 16, True),
("channels_last", 0, 0, 1, "relu", "same", True, "hybrid", 16, True),
("channels_last", 0, 0, 1, None, "valid", True, "hybrid", 16, True),
("channels_last", 0, 0, 1, "linear", "valid", True, "hybrid", 16, True),
("channels_last", 0, 0, 1, "relu", "valid", True, "hybrid", 16, True),
("channels_first", 0, 0, 1, None, "same", True, "hybrid", 16, True),
("channels_first", 0, 0, 1, "linear", "same", True, "hybrid", 16, True),
("channels_first", 0, 0, 1, "relu", "same", True, "hybrid", 16, True),
("channels_first", 0, 0, 1, None, "valid", True, "hybrid", 16, True),
("channels_first", 0, 0, 1, "linear", "valid", True, "hybrid", 16, True),
("channels_first", 0, 0, 1, "relu", "valid", True, "hybrid", 16, True),
("channels_last", 0, 0, 1, None, "same", False, "hybrid", 16, True),
("channels_last", 0, 0, 1, "linear", "same", False, "hybrid", 16, True),
("channels_last", 0, 0, 1, "relu", "same", False, "hybrid", 16, True),
("channels_last", 0, 0, 1, None, "valid", False, "hybrid", 16, True),
("channels_last", 0, 0, 1, "linear", "valid", False, "hybrid", 16, True),
("channels_last", 0, 0, 1, "relu", "valid", False, "hybrid", 16, True),
("channels_first", 0, 0, 1, None, "same", False, "hybrid", 16, True),
("channels_first", 0, 0, 1, "linear", "same", False, "hybrid", 16, True),
("channels_first", 0, 0, 1, "relu", "same", False, "hybrid", 16, True),
("channels_first", 0, 0, 1, None, "valid", False, "hybrid", 16, True),
("channels_first", 0, 0, 1, "linear", "valid", False, "hybrid", 16, True),
("channels_first", 0, 0, 1, "relu", "valid", False, "hybrid", 16, True),
("channels_last", 0, 0, 1, None, "same", True, "forward", 16, True),
("channels_last", 0, 0, 1, "linear", "same", True, "forward", 16, True),
("channels_last", 0, 0, 1, "relu", "same", True, "forward", 16, True),
("channels_last", 0, 0, 1, None, "valid", True, "forward", 16, True),
("channels_last", 0, 0, 1, "linear", "valid", True, "forward", 16, True),
("channels_last", 0, 0, 1, "relu", "valid", True, "forward", 16, True),
("channels_first", 0, 0, 1, None, "same", True, "forward", 16, True),
("channels_first", 0, 0, 1, "linear", "same", True, "forward", 16, True),
("channels_first", 0, 0, 1, "relu", "same", True, "forward", 16, True),
("channels_first", 0, 0, 1, None, "valid", True, "forward", 16, True),
("channels_first", 0, 0, 1, "linear", "valid", True, "forward", 16, True),
("channels_first", 0, 0, 1, "relu", "valid", True, "forward", 16, True),
("channels_last", 0, 0, 1, None, "same", False, "forward", 16, True),
("channels_last", 0, 0, 1, "linear", "same", False, "forward", 16, True),
("channels_last", 0, 0, 1, "relu", "same", False, "forward", 16, True),
("channels_last", 0, 0, 1, None, "valid", False, "forward", 16, True),
("channels_last", 0, 0, 1, "linear", "valid", False, "forward", 16, True),
("channels_last", 0, 0, 1, "relu", "valid", False, "forward", 16, True),
("channels_first", 0, 0, 1, None, "same", False, "forward", 16, True),
("channels_first", 0, 0, 1, "linear", "same", False, "forward", 16, True),
("channels_first", 0, 0, 1, "relu", "same", False, "forward", 16, True),
("channels_first", 0, 0, 1, None, "valid", False, "forward", 16, True),
("channels_first", 0, 0, 1, "linear", "valid", False, "forward", 16, True),
("channels_first", 0, 0, 1, "relu", "valid", False, "forward", 16, True),
("channels_last", 0, 0, 1, None, "same", True, "ibp", 16, True),
("channels_last", 0, 0, 1, "linear", "same", True, "ibp", 16, True),
("channels_last", 0, 0, 1, "relu", "same", True, "ibp", 16, True),
("channels_last", 0, 0, 1, None, "valid", True, "ibp", 16, True),
("channels_last", 0, 0, 1, "linear", "valid", True, "ibp", 16, True),
("channels_last", 0, 0, 1, "relu", "valid", True, "ibp", 16, True),
("channels_first", 0, 0, 1, None, "same", True, "ibp", 16, True),
("channels_first", 0, 0, 1, "linear", "same", True, "ibp", 16, True),
("channels_first", 0, 0, 1, "relu", "same", True, "ibp", 16, True),
("channels_first", 0, 0, 1, None, "valid", True, "ibp", 16, True),
("channels_first", 0, 0, 1, "linear", "valid", True, "ibp", 16, True),
("channels_first", 0, 0, 1, "relu", "valid", True, "ibp", 16, True),
("channels_last", 0, 0, 1, None, "same", False, "ibp", 16, True),
("channels_last", 0, 0, 1, "linear", "same", False, "ibp", 16, True),
("channels_last", 0, 0, 1, "relu", "same", False, "ibp", 16, True),
("channels_last", 0, 0, 1, None, "valid", False, "ibp", 16, True),
("channels_last", 0, 0, 1, "linear", "valid", False, "ibp", 16, True),
("channels_last", 0, 0, 1, "relu", "valid", False, "ibp", 16, True),
("channels_first", 0, 0, 1, None, "same", False, "ibp", 16, True),
("channels_first", 0, 0, 1, "linear", "same", False, "ibp", 16, True),
("channels_first", 0, 0, 1, "relu", "same", False, "ibp", 16, True),
("channels_first", 0, 0, 1, None, "valid", False, "ibp", 16, True),
("channels_first", 0, 0, 1, "linear", "valid", False, "ibp", 16, True),
("channels_first", 0, 0, 1, "relu", "valid", False, "ibp", 16, True),
("channels_last", 0, 0, 1, None, "same", True, "hybrid", 32, False),
("channels_last", 0, 0, 1, "linear", "same", True, "hybrid", 32, False),
("channels_last", 0, 0, 1, "relu", "same", True, "hybrid", 32, False),
("channels_last", 0, 0, 1, None, "valid", True, "hybrid", 32, False),
("channels_last", 0, 0, 1, "linear", "valid", True, "hybrid", 32, False),
("channels_last", 0, 0, 1, "relu", "valid", True, "hybrid", 32, False),
("channels_first", 0, 0, 1, None, "same", True, "hybrid", 32, False),
("channels_first", 0, 0, 1, "linear", "same", True, "hybrid", 32, False),
("channels_first", 0, 0, 1, "relu", "same", True, "hybrid", 32, False),
("channels_first", 0, 0, 1, None, "valid", True, "hybrid", 32, False),
("channels_first", 0, 0, 1, "linear", "valid", True, "hybrid", 32, False),
("channels_first", 0, 0, 1, "relu", "valid", True, "hybrid", 32, False),
("channels_last", 0, 0, 1, None, "same", False, "hybrid", 32, False),
("channels_last", 0, 0, 1, "linear", "same", False, "hybrid", 32, False),
("channels_last", 0, 0, 1, "relu", "same", False, "hybrid", 32, False),
("channels_last", 0, 0, 1, None, "valid", False, "hybrid", 32, False),
("channels_last", 0, 0, 1, "linear", "valid", False, "hybrid", 32, False),
("channels_last", 0, 0, 1, "relu", "valid", False, "hybrid", 32, False),
("channels_first", 0, 0, 1, None, "same", False, "hybrid", 32, False),
("channels_first", 0, 0, 1, "linear", "same", False, "hybrid", 32, False),
("channels_first", 0, 0, 1, "relu", "same", False, "hybrid", 32, False),
("channels_first", 0, 0, 1, None, "valid", False, "hybrid", 32, False),
("channels_first", 0, 0, 1, "linear", "valid", False, "hybrid", 32, False),
("channels_first", 0, 0, 1, "relu", "valid", False, "hybrid", 32, False),
("channels_last", 0, 0, 1, None, "same", True, "forward", 32, False),
("channels_last", 0, 0, 1, "linear", "same", True, "forward", 32, False),
("channels_last", 0, 0, 1, "relu", "same", True, "forward", 32, False),
("channels_last", 0, 0, 1, None, "valid", True, "forward", 32, False),
("channels_last", 0, 0, 1, "linear", "valid", True, "forward", 32, False),
("channels_last", 0, 0, 1, "relu", "valid", True, "forward", 32, False),
("channels_first", 0, 0, 1, None, "same", True, "forward", 32, False),
("channels_first", 0, 0, 1, "linear", "same", True, "forward", 32, False),
("channels_first", 0, 0, 1, "relu", "same", True, "forward", 32, False),
("channels_first", 0, 0, 1, None, "valid", True, "forward", 32, False),
("channels_first", 0, 0, 1, "linear", "valid", True, "forward", 32, False),
("channels_first", 0, 0, 1, "relu", "valid", True, "forward", 32, False),
("channels_last", 0, 0, 1, None, "same", False, "forward", 32, False),
("channels_last", 0, 0, 1, "linear", "same", False, "forward", 32, False),
("channels_last", 0, 0, 1, "relu", "same", False, "forward", 32, False),
("channels_last", 0, 0, 1, None, "valid", False, "forward", 32, False),
("channels_last", 0, 0, 1, "linear", "valid", False, "forward", 32, False),
("channels_last", 0, 0, 1, "relu", "valid", False, "forward", 32, False),
("channels_first", 0, 0, 1, None, "same", False, "forward", 32, False),
("channels_first", 0, 0, 1, "linear", "same", False, "forward", 32, False),
("channels_first", 0, 0, 1, "relu", "same", False, "forward", 32, False),
("channels_first", 0, 0, 1, None, "valid", False, "forward", 32, False),
("channels_first", 0, 0, 1, "linear", "valid", False, "forward", 32, False),
("channels_first", 0, 0, 1, "relu", "valid", False, "forward", 32, False),
("channels_last", 0, 0, 1, None, "same", True, "ibp", 32, False),
("channels_last", 0, 0, 1, "linear", "same", True, "ibp", 32, False),
("channels_last", 0, 0, 1, "relu", "same", True, "ibp", 32, False),
("channels_last", 0, 0, 1, None, "valid", True, "ibp", 32, False),
("channels_last", 0, 0, 1, "linear", "valid", True, "ibp", 32, False),
("channels_last", 0, 0, 1, "relu", "valid", True, "ibp", 32, False),
("channels_first", 0, 0, 1, None, "same", True, "ibp", 32, False),
("channels_first", 0, 0, 1, "linear", "same", True, "ibp", 32, False),
("channels_first", 0, 0, 1, "relu", "same", True, "ibp", 32, False),
("channels_first", 0, 0, 1, None, "valid", True, "ibp", 32, False),
("channels_first", 0, 0, 1, "linear", "valid", True, "ibp", 32, False),
("channels_first", 0, 0, 1, "relu", "valid", True, "ibp", 32, False),
("channels_last", 0, 0, 1, None, "same", False, "ibp", 32, False),
("channels_last", 0, 0, 1, "linear", "same", False, "ibp", 32, False),
("channels_last", 0, 0, 1, "relu", "same", False, "ibp", 32, False),
("channels_last", 0, 0, 1, None, "valid", False, "ibp", 32, False),
("channels_last", 0, 0, 1, "linear", "valid", False, "ibp", 32, False),
("channels_last", 0, 0, 1, "relu", "valid", False, "ibp", 32, False),
("channels_first", 0, 0, 1, None, "same", False, "ibp", 32, False),
("channels_first", 0, 0, 1, "linear", "same", False, "ibp", 32, False),
("channels_first", 0, 0, 1, "relu", "same", False, "ibp", 32, False),
("channels_first", 0, 0, 1, None, "valid", False, "ibp", 32, False),
("channels_first", 0, 0, 1, "linear", "valid", False, "ibp", 32, False),
("channels_first", 0, 0, 1, "relu", "valid", False, "ibp", 32, False),
("channels_last", 0, 0, 1, None, "same", True, "hybrid", 64, False),
("channels_last", 0, 0, 1, "linear", "same", True, "hybrid", 64, False),
("channels_last", 0, 0, 1, "relu", "same", True, "hybrid", 64, False),
("channels_last", 0, 0, 1, None, "valid", True, "hybrid", 64, False),
("channels_last", 0, 0, 1, "linear", "valid", True, "hybrid", 64, False),
("channels_last", 0, 0, 1, "relu", "valid", True, "hybrid", 64, False),
("channels_first", 0, 0, 1, None, "same", True, "hybrid", 64, False),
("channels_first", 0, 0, 1, "linear", "same", True, "hybrid", 64, False),
("channels_first", 0, 0, 1, "relu", "same", True, "hybrid", 64, False),
("channels_first", 0, 0, 1, None, "valid", True, "hybrid", 64, False),
("channels_first", 0, 0, 1, "linear", "valid", True, "hybrid", 64, False),
("channels_first", 0, 0, 1, "relu", "valid", True, "hybrid", 64, False),
("channels_last", 0, 0, 1, None, "same", False, "hybrid", 64, False),
("channels_last", 0, 0, 1, "linear", "same", False, "hybrid", 64, False),
("channels_last", 0, 0, 1, "relu", "same", False, "hybrid", 64, False),
("channels_last", 0, 0, 1, None, "valid", False, "hybrid", 64, False),
("channels_last", 0, 0, 1, "linear", "valid", False, "hybrid", 64, False),
("channels_last", 0, 0, 1, "relu", "valid", False, "hybrid", 64, False),
("channels_first", 0, 0, 1, None, "same", False, "hybrid", 64, False),
("channels_first", 0, 0, 1, "linear", "same", False, "hybrid", 64, False),
("channels_first", 0, 0, 1, "relu", "same", False, "hybrid", 64, False),
("channels_first", 0, 0, 1, None, "valid", False, "hybrid", 64, False),
("channels_first", 0, 0, 1, "linear", "valid", False, "hybrid", 64, False),
("channels_first", 0, 0, 1, "relu", "valid", False, "hybrid", 64, False),
("channels_last", 0, 0, 1, None, "same", True, "forward", 64, False),
("channels_last", 0, 0, 1, "linear", "same", True, "forward", 64, False),
("channels_last", 0, 0, 1, "relu", "same", True, "forward", 64, False),
("channels_last", 0, 0, 1, None, "valid", True, "forward", 64, False),
("channels_last", 0, 0, 1, "linear", "valid", True, "forward", 64, False),
("channels_last", 0, 0, 1, "relu", "valid", True, "forward", 64, False),
("channels_first", 0, 0, 1, None, "same", True, "forward", 64, False),
("channels_first", 0, 0, 1, "linear", "same", True, "forward", 64, False),
("channels_first", 0, 0, 1, "relu", "same", True, "forward", 64, False),
("channels_first", 0, 0, 1, None, "valid", True, "forward", 64, False),
("channels_first", 0, 0, 1, "linear", "valid", True, "forward", 64, False),
("channels_first", 0, 0, 1, "relu", "valid", True, "forward", 64, False),
("channels_last", 0, 0, 1, None, "same", False, "forward", 64, False),
("channels_last", 0, 0, 1, "linear", "same", False, "forward", 64, False),
("channels_last", 0, 0, 1, "relu", "same", False, "forward", 64, False),
("channels_last", 0, 0, 1, None, "valid", False, "forward", 64, False),
("channels_last", 0, 0, 1, "linear", "valid", False, "forward", 64, False),
("channels_last", 0, 0, 1, "relu", "valid", False, "forward", 64, False),
("channels_first", 0, 0, 1, None, "same", False, "forward", 64, False),
("channels_first", 0, 0, 1, "linear", "same", False, "forward", 64, False),
("channels_first", 0, 0, 1, "relu", "same", False, "forward", 64, False),
("channels_first", 0, 0, 1, None, "valid", False, "forward", 64, False),
("channels_first", 0, 0, 1, "linear", "valid", False, "forward", 64, False),
("channels_first", 0, 0, 1, "relu", "valid", False, "forward", 64, False),
("channels_last", 0, 0, 1, None, "same", True, "ibp", 64, False),
("channels_last", 0, 0, 1, "linear", "same", True, "ibp", 64, False),
("channels_last", 0, 0, 1, "relu", "same", True, "ibp", 64, False),
("channels_last", 0, 0, 1, None, "valid", True, "ibp", 64, False),
("channels_last", 0, 0, 1, "linear", "valid", True, "ibp", 64, False),
("channels_last", 0, 0, 1, "relu", "valid", True, "ibp", 64, False),
("channels_first", 0, 0, 1, None, "same", True, "ibp", 64, False),
("channels_first", 0, 0, 1, "linear", "same", True, "ibp", 64, False),
("channels_first", 0, 0, 1, "relu", "same", True, "ibp", 64, False),
("channels_first", 0, 0, 1, None, "valid", True, "ibp", 64, False),
("channels_first", 0, 0, 1, "linear", "valid", True, "ibp", 64, False),
("channels_first", 0, 0, 1, "relu", "valid", True, "ibp", 64, False),
("channels_last", 0, 0, 1, None, "same", False, "ibp", 64, False),
("channels_last", 0, 0, 1, "linear", "same", False, "ibp", 64, False),
("channels_last", 0, 0, 1, "relu", "same", False, "ibp", 64, False),
("channels_last", 0, 0, 1, None, "valid", False, "ibp", 64, False),
("channels_last", 0, 0, 1, "linear", "valid", False, "ibp", 64, False),
("channels_last", 0, 0, 1, "relu", "valid", False, "ibp", 64, False),
("channels_first", 0, 0, 1, None, "same", False, "ibp", 64, False),
("channels_first", 0, 0, 1, "linear", "same", False, "ibp", 64, False),
("channels_first", 0, 0, 1, "relu", "same", False, "ibp", 64, False),
("channels_first", 0, 0, 1, None, "valid", False, "ibp", 64, False),
("channels_first", 0, 0, 1, "linear", "valid", False, "ibp", 64, False),
("channels_first", 0, 0, 1, "relu", "valid", False, "ibp", 64, False),
("channels_last", 0, 0, 1, None, "same", True, "hybrid", 16, False),
("channels_last", 0, 0, 1, "linear", "same", True, "hybrid", 16, False),
("channels_last", 0, 0, 1, "relu", "same", True, "hybrid", 16, False),
("channels_last", 0, 0, 1, None, "valid", True, "hybrid", 16, False),
("channels_last", 0, 0, 1, "linear", "valid", True, "hybrid", 16, False),
("channels_last", 0, 0, 1, "relu", "valid", True, "hybrid", 16, False),
("channels_first", 0, 0, 1, None, "same", True, "hybrid", 16, False),
("channels_first", 0, 0, 1, "linear", "same", True, "hybrid", 16, False),
("channels_first", 0, 0, 1, "relu", "same", True, "hybrid", 16, False),
("channels_first", 0, 0, 1, None, "valid", True, "hybrid", 16, False),
("channels_first", 0, 0, 1, "linear", "valid", True, "hybrid", 16, False),
("channels_first", 0, 0, 1, "relu", "valid", True, "hybrid", 16, False),
("channels_last", 0, 0, 1, None, "same", False, "hybrid", 16, False),
("channels_last", 0, 0, 1, "linear", "same", False, "hybrid", 16, False),
("channels_last", 0, 0, 1, "relu", "same", False, "hybrid", 16, False),
("channels_last", 0, 0, 1, None, "valid", False, "hybrid", 16, False),
("channels_last", 0, 0, 1, "linear", "valid", False, "hybrid", 16, False),
("channels_last", 0, 0, 1, "relu", "valid", False, "hybrid", 16, False),
("channels_first", 0, 0, 1, None, "same", False, "hybrid", 16, False),
("channels_first", 0, 0, 1, "linear", "same", False, "hybrid", 16, False),
("channels_first", 0, 0, 1, "relu", "same", False, "hybrid", 16, False),
("channels_first", 0, 0, 1, None, "valid", False, "hybrid", 16, False),
("channels_first", 0, 0, 1, "linear", "valid", False, "hybrid", 16, False),
("channels_first", 0, 0, 1, "relu", "valid", False, "hybrid", 16, False),
("channels_last", 0, 0, 1, None, "same", True, "forward", 16, False),
("channels_last", 0, 0, 1, "linear", "same", True, "forward", 16, False),
("channels_last", 0, 0, 1, "relu", "same", True, "forward", 16, False),
("channels_last", 0, 0, 1, None, "valid", True, "forward", 16, False),
("channels_last", 0, 0, 1, "linear", "valid", True, "forward", 16, False),
("channels_last", 0, 0, 1, "relu", "valid", True, "forward", 16, False),
("channels_first", 0, 0, 1, None, "same", True, "forward", 16, False),
("channels_first", 0, 0, 1, "linear", "same", True, "forward", 16, False),
("channels_first", 0, 0, 1, "relu", "same", True, "forward", 16, False),
("channels_first", 0, 0, 1, None, "valid", True, "forward", 16, False),
("channels_first", 0, 0, 1, "linear", "valid", True, "forward", 16, False),
("channels_first", 0, 0, 1, "relu", "valid", True, "forward", 16, False),
("channels_last", 0, 0, 1, None, "same", False, "forward", 16, False),
("channels_last", 0, 0, 1, "linear", "same", False, "forward", 16, False),
("channels_last", 0, 0, 1, "relu", "same", False, "forward", 16, False),
("channels_last", 0, 0, 1, None, "valid", False, "forward", 16, False),
("channels_last", 0, 0, 1, "linear", "valid", False, "forward", 16, False),
("channels_last", 0, 0, 1, "relu", "valid", False, "forward", 16, False),
("channels_first", 0, 0, 1, None, "same", False, "forward", 16, False),
("channels_first", 0, 0, 1, "linear", "same", False, "forward", 16, False),
("channels_first", 0, 0, 1, "relu", "same", False, "forward", 16, False),
("channels_first", 0, 0, 1, None, "valid", False, "forward", 16, False),
("channels_first", 0, 0, 1, "linear", "valid", False, "forward", 16, False),
("channels_first", 0, 0, 1, "relu", "valid", False, "forward", 16, False),
("channels_last", 0, 0, 1, None, "same", True, "ibp", 16, False),
("channels_last", 0, 0, 1, "linear", "same", True, "ibp", 16, False),
("channels_last", 0, 0, 1, "relu", "same", True, "ibp", 16, False),
("channels_last", 0, 0, 1, None, "valid", True, "ibp", 16, False),
("channels_last", 0, 0, 1, "linear", "valid", True, "ibp", 16, False),
("channels_last", 0, 0, 1, "relu", "valid", True, "ibp", 16, False),
("channels_first", 0, 0, 1, None, "same", True, "ibp", 16, False),
("channels_first", 0, 0, 1, "linear", "same", True, "ibp", 16, False),
("channels_first", 0, 0, 1, "relu", "same", True, "ibp", 16, False),
("channels_first", 0, 0, 1, None, "valid", True, "ibp", 16, False),
("channels_first", 0, 0, 1, "linear", "valid", True, "ibp", 16, False),
("channels_first", 0, 0, 1, "relu", "valid", True, "ibp", 16, False),
("channels_last", 0, 0, 1, None, "same", False, "ibp", 16, False),
("channels_last", 0, 0, 1, "linear", "same", False, "ibp", 16, False),
("channels_last", 0, 0, 1, "relu", "same", False, "ibp", 16, False),
("channels_last", 0, 0, 1, None, "valid", False, "ibp", 16, False),
("channels_last", 0, 0, 1, "linear", "valid", False, "ibp", 16, False),
("channels_last", 0, 0, 1, "relu", "valid", False, "ibp", 16, False),
("channels_first", 0, 0, 1, None, "same", False, "ibp", 16, False),
("channels_first", 0, 0, 1, "linear", "same", False, "ibp", 16, False),
("channels_first", 0, 0, 1, "relu", "same", False, "ibp", 16, False),
("channels_first", 0, 0, 1, None, "valid", False, "ibp", 16, False),
("channels_first", 0, 0, 1, "linear", "valid", False, "ibp", 16, False),
("channels_first", 0, 0, 1, "relu", "valid", False, "ibp", 16, False),
],
)
def test_Decomon_conv_box(data_format, odd, m_0, m_1, activation, padding, use_bias, mode, floatx, previous):
if data_format == "channels_first" and not len(K._get_available_gpus()):
return
K.set_floatx("float{}".format(floatx))
eps = K.epsilon()
decimal = 5
if floatx == 16:
K.set_epsilon(1e-2)
decimal = 2
layer = DecomonConv2D(
10, kernel_size=(3, 3), activation=activation, dc_decomp=False, padding=padding, use_bias=use_bias, mode=mode
)
inputs = get_tensor_decomposition_images_box(data_format, odd, dc_decomp=False)
inputs_ = get_standard_values_images_box(data_format, odd, m0=m_0, m1=m_1, dc_decomp=False)
x, y, z_, u_c, W_u, b_u, l_c, W_l, b_l = inputs_
if mode == "hybrid":
input_mode = inputs[2:]
output = layer(input_mode)
z_0, u_c_0, _, _, l_c_0, _, _ = output
if mode == "forward":
input_mode = [inputs[2], inputs[4], inputs[5], inputs[7], inputs[8]]
output = layer(input_mode)
z_0, _, _, _, _ = output
if mode == "ibp":
input_mode = [inputs[3], inputs[6]]
output = layer(input_mode)
u_c_0, l_c_0 = output
output_shape = np.prod(output[-1].shape[1:])
w_out = Input((output_shape, output_shape))
b_out = Input((output_shape,))
# get backward layer
layer_backward = get_backward(layer, previous=previous)
if previous:
w_out_u, b_out_u, w_out_l, b_out_l = layer_backward(input_mode + [w_out, b_out, w_out, b_out])
f_conv = K.function(inputs + [w_out, b_out], [w_out_u, b_out_u, w_out_l, b_out_l])
w_init = np.concatenate([np.diag([1.0] * output_shape)[None]] * len(x)).reshape(
(-1, output_shape, output_shape)
)
b_init = np.zeros((len(x), output_shape))
output_ = f_conv(inputs_ + [w_init, b_init])
else:
w_out_u, b_out_u, w_out_l, b_out_l = layer_backward(input_mode)
f_conv = K.function(inputs, [w_out_u, b_out_u, w_out_l, b_out_l])
output_ = f_conv(inputs_)
# import pdb; pdb.set_trace()
# import pdb; pdb.set_trace()
w_u_, b_u_, w_l_, b_l_ = output_
w_u_ = w_u_[:, None]
w_l_ = w_l_[:, None]
b_u_ = b_u_[:, None]
b_l_ = b_l_[:, None]
# step 1: flatten W_u
W_u = W_u.reshape((len(W_u), W_u.shape[1], -1))
W_l = W_l.reshape((len(W_l), W_l.shape[1], -1))
w_r_u = np.sum(np.maximum(0.0, w_u_) * np.expand_dims(W_u, -1), 2) + np.sum(
np.minimum(0.0, w_u_) * np.expand_dims(W_l, -1), 2
)
w_r_l = np.sum(np.maximum(0.0, w_l_) * np.expand_dims(W_l, -1), 2) + np.sum(
np.minimum(0.0, w_l_) * np.expand_dims(W_u, -1), 2
)
b_l = b_l.reshape((len(b_l), -1))
b_u = b_u.reshape((len(b_u), -1))
b_r_u = (
np.sum(np.maximum(0, w_u_[:, 0]) * np.expand_dims(b_u, -1), 1)[:, None]
+ np.sum(np.minimum(0, w_u_[:, 0]) * np.expand_dims(b_l, -1), 1)[:, None]
+ b_u_
)
b_r_l = (
np.sum(np.maximum(0, w_l_[:, 0]) * np.expand_dims(b_l, -1), 1)[:, None]
+ np.sum(np.minimum(0, w_l_[:, 0]) * np.expand_dims(b_u, -1), 1)[:, None]
+ b_l_
)
assert_output_properties_box_linear(x, None, z_[:, 0], z_[:, 1], None, w_r_u, b_r_u, None, w_r_l, b_r_l, "nodc")
K.set_floatx("float32")
K.set_epsilon(eps)
| 69.8117 | 117 | 0.539398 | 5,426 | 38,187 | 3.669001 | 0.023222 | 0.043801 | 0.065099 | 0.151899 | 0.937613 | 0.923146 | 0.920133 | 0.9131 | 0.909584 | 0.901597 | 0 | 0.07591 | 0.226569 | 38,187 | 546 | 118 | 69.93956 | 0.598138 | 0.003509 | 0 | 0.005769 | 0 | 0 | 0.306174 | 0 | 0 | 0 | 0 | 0 | 0.003846 | 1 | 0.001923 | false | 0 | 0.015385 | 0 | 0.019231 | 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 |
2b0524f45ed8e6588a208d87eb51b56420a73388 | 271 | py | Python | 7kyu/(7 kyu) Remove duplicate words/(7 kyu) Remove duplicate words.py | e1r0nd/codewars | dc98484281345e7675eb5e8a51c192e2fa77c443 | [
"MIT"
] | 49 | 2018-04-30T06:42:45.000Z | 2021-07-22T16:39:02.000Z | (7 kyu) Remove duplicate words/(7 kyu) Remove duplicate words.py | novsunheng/codewars | c54b1d822356889b91587b088d02ca0bd3d8dc9e | [
"MIT"
] | 1 | 2020-08-31T02:36:53.000Z | 2020-08-31T10:14:00.000Z | (7 kyu) Remove duplicate words/(7 kyu) Remove duplicate words.py | novsunheng/codewars | c54b1d822356889b91587b088d02ca0bd3d8dc9e | [
"MIT"
] | 25 | 2018-04-02T20:57:58.000Z | 2021-05-28T15:24:51.000Z | # #1 py 3.4.3
# from collections import OrderedDict
# def remove_duplicate_words(s):
# str = s.split(' ')
# return ' '.join(list(OrderedDict((x, True) for x in str).keys()))
#2 py 3.6.0
def remove_duplicate_words(s):
return ' '.join(dict.fromkeys(s.split()))
| 30.111111 | 71 | 0.649446 | 44 | 271 | 3.909091 | 0.636364 | 0.034884 | 0.209302 | 0.267442 | 0.27907 | 0 | 0 | 0 | 0 | 0 | 0 | 0.035556 | 0.169742 | 271 | 8 | 72 | 33.875 | 0.728889 | 0.664207 | 0 | 0 | 0 | 0 | 0.012048 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | false | 0 | 0 | 0.5 | 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 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 6 |
2b1421bc74810242a5ec7eba40f482fab5121507 | 172 | py | Python | oscar/apps/payment/datacash/models.py | owad/django-oscar | cfa69e37dc9abc97a7aff5c8616da319e1771008 | [
"BSD-3-Clause"
] | 1 | 2022-03-17T19:26:13.000Z | 2022-03-17T19:26:13.000Z | oscar/apps/payment/datacash/models.py | aykut/django-oscar | ca3629e74ea1e0affc55d3de4e97f523e352d267 | [
"BSD-3-Clause"
] | null | null | null | oscar/apps/payment/datacash/models.py | aykut/django-oscar | ca3629e74ea1e0affc55d3de4e97f523e352d267 | [
"BSD-3-Clause"
] | 1 | 2019-03-23T10:26:02.000Z | 2019-03-23T10:26:02.000Z | from django.db import models
from oscar.apps.payment.datacash.abstract_models import AbstractOrderTransaction
class OrderTransaction(AbstractOrderTransaction):
pass
| 21.5 | 80 | 0.848837 | 18 | 172 | 8.055556 | 0.777778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.104651 | 172 | 7 | 81 | 24.571429 | 0.941558 | 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 | 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 |
2b1fa98fc8a51e69895d7243f64ebfa68cc814ab | 23 | py | Python | tempCodeRunnerFile.py | anthonykrivonos/nba-ml | 3b4c7fcc30d699351eb506be775890446b4f2739 | [
"MIT"
] | 3 | 2019-03-07T02:59:46.000Z | 2020-03-05T14:25:34.000Z | tempCodeRunnerFile.py | anthonykrivonos/nba-ml | 3b4c7fcc30d699351eb506be775890446b4f2739 | [
"MIT"
] | null | null | null | tempCodeRunnerFile.py | anthonykrivonos/nba-ml | 3b4c7fcc30d699351eb506be775890446b4f2739 | [
"MIT"
] | null | null | null |
print(row) | 11.5 | 22 | 0.347826 | 2 | 23 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.565217 | 23 | 2 | 22 | 11.5 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 1 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6 |
2b38d549740a16825f56249b173d1b45cccb2275 | 63 | py | Python | mdp_playground/config_processor/__init__.py | RaghuSpaceRajan/mdp-playground | 4dd00ae3d58620f27b4c14befb7ce47c6df83d00 | [
"Apache-2.0"
] | 11 | 2021-06-01T08:46:08.000Z | 2022-03-18T16:46:22.000Z | mdp_playground/config_processor/__init__.py | RaghuSpaceRajan/mdp-playground | 4dd00ae3d58620f27b4c14befb7ce47c6df83d00 | [
"Apache-2.0"
] | 6 | 2021-05-30T09:30:12.000Z | 2021-10-20T12:31:03.000Z | mdp_playground/config_processor/__init__.py | automl/mdp-playground | 4dd00ae3d58620f27b4c14befb7ce47c6df83d00 | [
"Apache-2.0"
] | 4 | 2021-07-07T15:52:04.000Z | 2022-03-14T06:18:30.000Z | from mdp_playground.config_processor.config_processor import *
| 31.5 | 62 | 0.888889 | 8 | 63 | 6.625 | 0.75 | 0.566038 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.063492 | 63 | 1 | 63 | 63 | 0.898305 | 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 |
9937c09e41000343c318633dd2f43d44b6d8f615 | 3,519 | py | Python | dapy/utils/localisation.py | hassaniqbal209/data-assimilation | ec52d655395dbed547edf4b4f3df29f017633f1b | [
"MIT"
] | 11 | 2020-07-29T07:46:39.000Z | 2022-03-17T01:28:07.000Z | dapy/utils/localisation.py | hassaniqbal209/data-assimilation | ec52d655395dbed547edf4b4f3df29f017633f1b | [
"MIT"
] | 1 | 2020-07-14T11:49:17.000Z | 2020-07-29T07:43:22.000Z | dapy/utils/localisation.py | hassaniqbal209/data-assimilation | ec52d655395dbed547edf4b4f3df29f017633f1b | [
"MIT"
] | 10 | 2020-07-14T11:34:24.000Z | 2022-03-07T09:08:12.000Z | """Locally supported weighting functions."""
import numpy as np
import numba as nb
@nb.njit(nb.double[:](nb.double[:], nb.double), parallel=True)
def gaspari_and_cohn_weighting(distances, radius):
"""Compactly supported smooth weighting kernel function.
Args:
distances: One-dimensional array of distances.
radius: Positive scaling parameter determining distance over which weights are
non-zero, with distances greater than `radius` mapping to zero weights and
distances in `[0, radius]` mapping to non-zero weights that smoothly
decrease from 1 to 0.
Returns:
One-dimensional array of weight values in [0, 1] with zero weights for all
distances greater than radius i.e. `all(weights[d > radius] == 0) == True`.
References:
1. Gaspari, G., & Cohn, S. E. (1999).
Construction of correlation functions in two and three dimensions.
Quarterly Journal of the Royal Meteorological Society,
125(554), 723-757.
"""
weights = np.empty(distances.shape[0])
for i in nb.prange(distances.shape[0]):
u = 2 * abs(distances[i]) / radius
if u <= 1:
weights[i] = (
-(u ** 5) / 4.0 + u ** 4 / 2.0 + 5 * u ** 3 / 8.0 - 5 * u ** 2 / 3.0 + 1
)
elif u <= 2:
weights[i] = (
u ** 5 / 12.0
- u ** 4 / 2.0
+ 5 * u ** 3 / 8.0
+ 5 * u ** 2 / 3.0
- 5 * u
+ 4
- 2 / (3 * u)
)
else:
weights[i] = 0
return weights
@nb.njit(nb.double[:](nb.double[:], nb.double), parallel=True)
def triangular_weighting(distances, radius):
"""Compactly supported piecewise linear weighting kernel function.
Args:
distances: One-dimensional array of distances.
radius: Positive scaling parameter determining distance over which weights are
non-zero, with distances greater than `radius` mapping to zero weights and
distances in `[0, radius]` mapping to non-zero weights that linearly
decrease from 1 to 0.
Returns:
One-dimensional array of weight values in [0, 1] with zero weights for all
distances greater than radius i.e. `all(weights[d > radius] == 0) == True`.
"""
weights = np.empty(distances.shape[0])
for i in nb.prange(distances.shape[0]):
u = abs(distances[i]) / radius
if u <= 1.0:
weights[i] = 1.0 - u
else:
weights[i] = 0.0
return weights
@nb.njit(nb.double[:](nb.double[:], nb.double), parallel=True)
def uniform_weighting(distances, radius):
"""Compactly supported uniform (rectangular) kernel function.
Args:
distances: One-dimensional array of distances.
radius: Positive scaling parameter determining distance over which weights are
non-zero, with distances greater than `radius` mapping to zero weights and
distances in `[0, radius]` mapping to unit weights.
Returns:
One-dimensional array of weight values in [0, 1] with zero weights for all
distances greater than radius i.e. `all(weights[d > radius] == 0) == True`.
"""
weights = np.empty(distances.shape[0])
for i in nb.prange(distances.shape[0]):
u = abs(distances[i]) / radius
if u <= 1.0:
weights[i] = 1.0
else:
weights[i] = 0.0
return weights
| 36.278351 | 88 | 0.583973 | 462 | 3,519 | 4.437229 | 0.218615 | 0.035122 | 0.029268 | 0.046829 | 0.833171 | 0.764878 | 0.764878 | 0.734146 | 0.734146 | 0.734146 | 0 | 0.036535 | 0.307758 | 3,519 | 96 | 89 | 36.65625 | 0.805008 | 0.535664 | 0 | 0.522727 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.068182 | false | 0 | 0.045455 | 0 | 0.181818 | 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 |
993c5976e6119df55620ebd08a4bd8b644940e6b | 97 | py | Python | nifpy/__init__.py | shresth26/nifpy | 5f23efbbf4b9491352a43766f5b8f332516fb3ac | [
"MIT"
] | 2 | 2022-02-18T16:22:06.000Z | 2022-03-12T11:04:18.000Z | nifpy/__init__.py | shresth26/nifpy | 5f23efbbf4b9491352a43766f5b8f332516fb3ac | [
"MIT"
] | null | null | null | nifpy/__init__.py | shresth26/nifpy | 5f23efbbf4b9491352a43766f5b8f332516fb3ac | [
"MIT"
] | 3 | 2021-09-24T15:52:16.000Z | 2022-03-12T11:04:45.000Z | # from nifpy import financials
from .financials import *
from .info import *
from .graph import * | 24.25 | 30 | 0.762887 | 13 | 97 | 5.692308 | 0.461538 | 0.27027 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.164948 | 97 | 4 | 31 | 24.25 | 0.91358 | 0.28866 | 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 |
994d09eca556070deef2b08870da85159cd552cf | 37 | py | Python | TEST3D/GUI/0010508_page_skel/cleanup.py | usnistgov/OOF3D | 4fd423a48aea9c5dc207520f02de53ae184be74c | [
"X11"
] | 31 | 2015-04-01T15:59:36.000Z | 2022-03-18T20:21:47.000Z | TEST3D/GUI/0010508_page_skel/cleanup.py | usnistgov/OOF3D | 4fd423a48aea9c5dc207520f02de53ae184be74c | [
"X11"
] | 3 | 2015-02-06T19:30:24.000Z | 2017-05-25T14:14:31.000Z | TEST3D/GUI/0010508_page_skel/cleanup.py | usnistgov/OOF3D | 4fd423a48aea9c5dc207520f02de53ae184be74c | [
"X11"
] | 7 | 2015-01-23T15:19:22.000Z | 2021-06-09T09:03:59.000Z | removefile('skelpagesnaprefine.log')
| 18.5 | 36 | 0.837838 | 3 | 37 | 10.333333 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.027027 | 37 | 1 | 37 | 37 | 0.861111 | 0 | 0 | 0 | 0 | 0 | 0.594595 | 0.594595 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 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 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
9989456b613cd4c087a35b8ae1a345ffeac33de6 | 84 | py | Python | eddl/layers/__init__.py | salvacarrion/pyeddl | 56d1e4378844d12c064f168f4541900684079c4b | [
"MIT"
] | null | null | null | eddl/layers/__init__.py | salvacarrion/pyeddl | 56d1e4378844d12c064f168f4541900684079c4b | [
"MIT"
] | null | null | null | eddl/layers/__init__.py | salvacarrion/pyeddl | 56d1e4378844d12c064f168f4541900684079c4b | [
"MIT"
] | null | null | null | from .conv import *
from .core import *
from .merge import *
from .pooling import *
| 16.8 | 22 | 0.714286 | 12 | 84 | 5 | 0.5 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.190476 | 84 | 4 | 23 | 21 | 0.882353 | 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 |
998cb265ffbe2a2cea68d3d0f43f123648690377 | 27 | py | Python | python/sparkimages/__init__.py | Bhaskers-Blu-Org2/spark-images | fe4c68544a4f4b95f37fea1c1aaa6da2f88a724b | [
"Apache-2.0"
] | 8 | 2019-06-29T07:50:49.000Z | 2021-09-06T12:02:56.000Z | python/sparkimages/__init__.py | microsoft/spark-images | fe4c68544a4f4b95f37fea1c1aaa6da2f88a724b | [
"Apache-2.0"
] | null | null | null | python/sparkimages/__init__.py | microsoft/spark-images | fe4c68544a4f4b95f37fea1c1aaa6da2f88a724b | [
"Apache-2.0"
] | 5 | 2019-11-03T12:27:42.000Z | 2021-05-26T07:34:34.000Z | from .ImageSchema import *
| 13.5 | 26 | 0.777778 | 3 | 27 | 7 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.148148 | 27 | 1 | 27 | 27 | 0.913043 | 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 |
5144f97e6604564d604b8b262c9e43f69f42869f | 12,979 | py | Python | tests/api/test_client.py | cottonmalone/binance-dex | 2b33e5d0dd0e24e78eea58e857d9872e5adc8c5f | [
"MIT"
] | null | null | null | tests/api/test_client.py | cottonmalone/binance-dex | 2b33e5d0dd0e24e78eea58e857d9872e5adc8c5f | [
"MIT"
] | null | null | null | tests/api/test_client.py | cottonmalone/binance-dex | 2b33e5d0dd0e24e78eea58e857d9872e5adc8c5f | [
"MIT"
] | null | null | null | import pytest
import datetime
from binance.api import *
POSIX_ORGIN = datetime.datetime(1970, 1, 1, tzinfo=datetime.timezone.utc)
def test_client_ctor():
"""
Test that object is initialised correctly.
"""
assert Client('url').base_url == 'url'
def test_client_get_time(mocker):
"""
Test that methods behaves as expected.
"""
# mock all underlying functionality
get = mocker.patch('binance.api.client.get', return_value='foo')
# check that return value is correct
assert Client('url').get_time() == 'foo'
# check that mock functions were called as expected
get.assert_called_with('url', '/api/v1/time')
def test_client_get_node_info(mocker):
"""
Test that methods behaves as expected.
"""
# mock all underlying functionality
get = mocker.patch('binance.api.client.get', return_value='foo')
# check that return value is correct
assert Client('url').get_node_info() == 'foo'
# check that mock functions were called as expected
get.assert_called_with('url', '/api/v1/node-info')
def test_client_get_validators(mocker):
"""
Test that methods behaves as expected.
"""
# mock all underlying functionality
get = mocker.patch('binance.api.client.get', return_value='foo')
# check that return value is correct
assert Client('url').get_validators() == 'foo'
# check that mock functions were called as expected
get.assert_called_with('url', '/api/v1/validators')
def test_client_get_peers(mocker):
"""
Test that methods behaves as expected.
"""
# mock all underlying functionality
get = mocker.patch('binance.api.client.get', return_value='foo')
# check that return value is correct
assert Client('url').get_peers() == 'foo'
# check that mock functions were called as expected
get.assert_called_with('url', '/api/v1/peers')
def test_client_get_account(mocker):
"""
Test that methods behaves as expected.
"""
# mock all underlying functionality
get = mocker.patch('binance.api.client.get', return_value='foo')
# check that return value is correct
assert Client('url').get_account('id') == 'foo'
# check that mock functions were called as expected
get.assert_called_with('url', '/api/v1/account/id')
def test_client_get_account_sequence(mocker):
"""
Test that methods behaves as expected.
"""
# mock all underlying functionality
get = mocker.patch('binance.api.client.get', return_value='foo')
# check that return value is correct
assert Client('url').get_account_sequence('id') == 'foo'
# check that mock functions were called as expected
get.assert_called_with('url', '/api/v1/account/id/sequence')
def test_client_get_transaction(mocker):
"""
Test that methods behaves as expected.
"""
# mock all underlying functionality
get = mocker.patch('binance.api.client.get', return_value='foo')
# check that return value is correct
assert Client('url').get_transaction('id') == 'foo'
# check that mock functions were called as expected
get.assert_called_with('url', '/api/v1/tx/id?format=json')
def test_client_get_tokens(mocker):
"""
Test that methods behaves as expected.
"""
# mock all underlying functionality
get = mocker.patch('binance.api.client.get', return_value='foo')
# check that return value is correct
assert Client('url').get_tokens('offset', 'limit') == 'foo'
# check that mock functions were called as expected
get.assert_called_with('url', '/api/v1/tokens', params={
'offset': 'offset',
'limit': 'limit'
})
def test_client_get_markets(mocker):
"""
Test that methods behaves as expected.
"""
# mock all underlying functionality
get = mocker.patch('binance.api.client.get', return_value='foo')
# check that return value is correct
assert Client('url').get_markets('offset', 'limit') == 'foo'
# check that mock functions were called as expected
get.assert_called_with('url', '/api/v1/markets', params={
'offset': 'offset',
'limit': 'limit'
})
def test_client_get_fees(mocker):
"""
Test that methods behaves as expected.
"""
# mock all underlying functionality
get = mocker.patch('binance.api.client.get', return_value='foo')
# check that return value is correct
assert Client('url').get_fees() == 'foo'
# check that mock functions were called as expected
get.assert_called_with('url', '/api/v1/fees')
def test_client_get_depth(mocker):
"""
Test that methods behaves as expected.
"""
# mock all underlying functionality
get = mocker.patch('binance.api.client.get', return_value='foo')
# check that return value is correct
assert Client('url').get_depth('symbol', 'limit') == 'foo'
# check that mock functions were called as expected
get.assert_called_with('url', '/api/v1/depth', params={
'symbol': 'symbol',
'limit': 'limit'
})
def test_client_broadcast(mocker):
"""
Test that methods behaves as expected.
"""
# mock all underlying functionality
post = mocker.patch('binance.api.client.post', return_value='foo')
# check that return value is correct
assert Client('url').broadcast('transaction', 'sync') == 'foo'
# check that mock functions were called as expected
post.assert_called_with('url',
'/api/v1/broadcast',
headers={"Content-Type": "text/plain"},
params={'sync': 'sync'},
data='transaction')
@pytest.mark.parametrize('start_time,end_time,exp_start_time,exp_end_time', [
(None, None, None, None),
(POSIX_ORGIN, POSIX_ORGIN, 0, 0)
])
def test_client_get_klines(start_time,
end_time,
exp_start_time,
exp_end_time,
mocker):
"""
Test that methods behaves as expected.
"""
# mock all underlying functionality
get = mocker.patch('binance.api.client.get', return_value='foo')
# check that return value is correct
assert Client('url').get_klines('symbol',
Interval.INT_1_DAY,
'limit',
start_time,
end_time) == 'foo'
# check that mock functions were called as expected
get.assert_called_with('url', '/api/v1/klines', params={
'symbol': 'symbol',
'interval': '1d',
'limit': 'limit',
'startTime': exp_start_time,
'endTime': exp_end_time,
})
@pytest.mark.parametrize('start_time,end_time,exp_start_time,exp_end_time', [
(None, None, None, None),
(POSIX_ORGIN, POSIX_ORGIN, 0, 0)
])
def test_client_get_closed_orders(start_time,
end_time,
exp_start_time,
exp_end_time,
mocker):
"""
Test that methods behaves as expected.
"""
# mock all underlying functionality
get = mocker.patch('binance.api.client.get', return_value='foo')
# check that return value is correct
assert Client('url').get_closed_orders('address',
'symbol',
OrderStatus.ACK,
Side.BUY,
'offset',
'limit',
True,
start_time,
end_time) == 'foo'
# check that mock functions were called as expected
get.assert_called_with('url', '/api/v1/orders/closed', params={
'address': 'address',
'symbol': 'symbol',
'status': 'Ack',
'side': 1,
'offset': 'offset',
'limit': 'limit',
'total': 1,
'start': exp_start_time,
'end': exp_end_time,
})
def test_client_get_open_orders(mocker):
"""
Test that methods behaves as expected.
"""
# mock all underlying functionality
get = mocker.patch('binance.api.client.get', return_value='foo')
# check that return value is correct
assert Client('url').get_open_orders('address',
'symbol',
'offset',
'limit',
True) == 'foo'
# check that mock functions were called as expected
get.assert_called_with('url', '/api/v1/orders/open', params={
'address': 'address',
'symbol': 'symbol',
'offset': 'offset',
'limit': 'limit',
'total': 1
})
def test_client_get_order(mocker):
"""
Test that methods behaves as expected.
"""
# mock all underlying functionality
get = mocker.patch('binance.api.client.get', return_value='foo')
# check that return value is correct
assert Client('url').get_order('id') == 'foo'
# check that mock functions were called as expected
get.assert_called_with('url', '/api/v1/orders/id')
def test_client_get_ticker(mocker):
"""
Test that methods behaves as expected.
"""
# mock all underlying functionality
get = mocker.patch('binance.api.client.get', return_value='foo')
# check that return value is correct
assert Client('url').get_ticker('symbol') == 'foo'
# check that mock functions were called as expected
get.assert_called_with('url', '/api/v1/ticker/24hr', params={
'symbol': 'symbol'
})
@pytest.mark.parametrize('start_time,end_time,exp_start_time,exp_end_time', [
(None, None, None, None),
(POSIX_ORGIN, POSIX_ORGIN, 0, 0)
])
def test_client_get_trades(start_time,
end_time,
exp_start_time,
exp_end_time,
mocker):
"""
Test that methods behaves as expected.
"""
# mock all underlying functionality
get = mocker.patch('binance.api.client.get', return_value='foo')
# check that return value is correct
assert Client('url').get_trades('address',
'buyer_order_id',
'seller_order_id',
'quote_asset',
'symbol',
'height',
Side.BUY,
'offset',
'limit',
True,
start_time,
end_time) == 'foo'
# check that mock functions were called as expected
get.assert_called_with('url', '/api/v1/trades', params={
'address': 'address',
'buyerOrderId': 'buyer_order_id',
'sellerOrderId': 'seller_order_id',
'quoteAsset': 'quote_asset',
'symbol': 'symbol',
'height': 'height',
'side': 1,
'offset': 'offset',
'limit': 'limit',
'total': 1,
'start': exp_start_time,
'end': exp_end_time,
})
@pytest.mark.parametrize('start_time,end_time,exp_start_time,exp_end_time', [
(None, None, None, None),
(POSIX_ORGIN, POSIX_ORGIN, 0, 0)
])
def test_client_get_transactions(start_time,
end_time,
exp_start_time,
exp_end_time,
mocker):
"""
Test that methods behaves as expected.
"""
# mock all underlying functionality
get = mocker.patch('binance.api.client.get', return_value='foo')
# check that return value is correct
assert Client('url').get_transactions('address',
'height',
'tx_asset',
TransactionType.BURN_TOKEN,
TransactionSide.RECEIVE,
'offset',
'limit',
start_time,
end_time) == 'foo'
# check that mock functions were called as expected
get.assert_called_with('url', '/api/v1/transactions', params={
'address': 'address',
'blockHeight': 'height',
'txAsset': 'tx_asset',
'txType': 'BURN_TOKEN',
'side': 'RECEIVE',
'offset': 'offset',
'limit': 'limit',
'startTime': exp_start_time,
'endTime': exp_end_time,
})
| 31.96798 | 77 | 0.559288 | 1,422 | 12,979 | 4.936709 | 0.085091 | 0.054131 | 0.064957 | 0.056838 | 0.822507 | 0.792023 | 0.784615 | 0.784615 | 0.784615 | 0.76567 | 0 | 0.004798 | 0.325603 | 12,979 | 405 | 78 | 32.046914 | 0.797212 | 0.23461 | 0 | 0.574163 | 0 | 0 | 0.203195 | 0.071003 | 0 | 0 | 0 | 0 | 0.186603 | 1 | 0.095694 | false | 0 | 0.014354 | 0 | 0.110048 | 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 |
5a9aace782eb1c45b4e5cfec867ec5093569c876 | 4,577 | py | Python | src/jt/rubicon/java/_jmethod.py | karpierz/jtypes.rubicon | 8f8196e47de93183eb9728fec0d08725fc368ee0 | [
"BSD-3-Clause"
] | 2 | 2018-11-29T06:19:05.000Z | 2018-12-09T09:47:55.000Z | src/jt/rubicon/java/_jmethod.py | karpierz/jtypes.rubicon | 8f8196e47de93183eb9728fec0d08725fc368ee0 | [
"BSD-3-Clause"
] | null | null | null | src/jt/rubicon/java/_jmethod.py | karpierz/jtypes.rubicon | 8f8196e47de93183eb9728fec0d08725fc368ee0 | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2016-2019, Adam Karpierz
# Licensed under the BSD license
# http://opensource.org/licenses/BSD-3-Clause
from ...jvm.lib import annotate
from ...jvm.lib import public
from ._jvm import JVM
from ._conversion import _convert_args_to_jargs, select_polymorph
@public
class StaticJavaMethod(object):
"""The representation for a static method on a Java object
Constructor requires:
* java_class - the Python representation of the Java class
* name - the method name being invoked.
"""
def __init__(self, java_class, name):
self.java_class = java_class
self.name = name
self.__polymorphs = {}
def add(self, params_signature, return_signature):
if params_signature in self.__polymorphs:
return
type_manager = JVM.jvm.type_manager
thandler = type_manager.get_handler(return_signature)
full_signature = "({}){}".format(params_signature, return_signature)
with JVM.jvm as (jvm, jenv):
try:
jmethod_id = jenv.GetStaticMethodID(self.java_class.__javaclass__,
self.name.encode("utf-8"),
full_signature.encode("utf-8"))
except: # <AK> was: if jmethod_id.value is None:
raise RuntimeError("Couldn't find static Java method '{}.{}' with signature "
"'{}'".format(self.java_class.__dict__["_descriptor"],
self.name, full_signature))
self.__polymorphs[params_signature] = dict(thandler=thandler,
jmethod_id=jmethod_id)
def __call__(self, *args):
try:
arg_sig, match_types, polymorph = select_polymorph(self.__polymorphs, args)
jmethod_id = polymorph["jmethod_id"]
jargs = _convert_args_to_jargs(args, match_types)
thandler = polymorph["thandler"]
return thandler.callStatic(jmethod_id, self.java_class.__javaclass__, jargs)
except KeyError as exc:
raise ValueError("Can't find Java static method '{}.{}' matching argument signature "
"'{}'. Options are: {}".format(self.java_class.__dict__["_descriptor"],
self.name, exc, self.__polymorphs.keys()))
@public
class JavaMethod(object):
def __init__(self, java_class, name):
self.java_class = java_class
self.name = name
self.__polymorphs = {}
def add(self, params_signature, return_signature):
type_manager = JVM.jvm.type_manager
thandler = type_manager.get_handler(return_signature)
full_signature = "({}){}".format(params_signature, return_signature)
with JVM.jvm as (jvm, jenv):
try:
jmethod_id = jenv.GetMethodID(self.java_class.__javaclass__,
self.name.encode("utf-8"),
full_signature.encode("utf-8"))
except: # <AK> was: if jmethod_id.value is None:
raise RuntimeError("Couldn't find Java method '{}.{}' with signature "
"'{}'".format(self.java_class.__dict__["_descriptor"],
self.name, full_signature))
self.__polymorphs[params_signature] = dict(thandler=thandler,
jmethod_id=jmethod_id)
def __call__(self, instance, *args):
try:
arg_sig, match_types, polymorph = select_polymorph(self.__polymorphs, args)
jmethod_id = polymorph["jmethod_id"]
jargs = _convert_args_to_jargs(args, match_types)
thandler = polymorph["thandler"]
return thandler.callInstance(jmethod_id, instance, jargs)
except KeyError as exc:
raise ValueError("Can't find Java instance method '{}.{}' matching argument signature "
"'{}'. Options are: {}".format(self.java_class.__dict__["_descriptor"],
self.name, exc, self.__polymorphs.keys()))
@public
class BoundJavaMethod(object):
def __init__(self, instance, method):
self.instance = instance
self.method = method
def __call__(self, *args):
return self.method(self.instance, *args)
| 39.119658 | 102 | 0.568276 | 461 | 4,577 | 5.312364 | 0.234273 | 0.055125 | 0.058391 | 0.049 | 0.718661 | 0.718661 | 0.718661 | 0.718661 | 0.718661 | 0.718661 | 0 | 0.004274 | 0.335373 | 4,577 | 116 | 103 | 39.456897 | 0.800789 | 0.082587 | 0 | 0.714286 | 0 | 0 | 0.096117 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.103896 | false | 0 | 0.051948 | 0.012987 | 0.246753 | 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 |
5a9f5cc6afdda05850a356c417c34949fdb24d36 | 1,948 | py | Python | epytope/Data/pssms/epidemix/mat/A_0201_9.py | christopher-mohr/epytope | 8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd | [
"BSD-3-Clause"
] | 7 | 2021-02-01T18:11:28.000Z | 2022-01-31T19:14:07.000Z | epytope/Data/pssms/epidemix/mat/A_0201_9.py | christopher-mohr/epytope | 8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd | [
"BSD-3-Clause"
] | 22 | 2021-01-02T15:25:23.000Z | 2022-03-14T11:32:53.000Z | epytope/Data/pssms/epidemix/mat/A_0201_9.py | christopher-mohr/epytope | 8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd | [
"BSD-3-Clause"
] | 4 | 2021-05-28T08:50:38.000Z | 2022-03-14T11:45:32.000Z | A_0201_9 = {0: {'A': 0.1, 'C': 0.0, 'E': -1.0, 'D': -1.1, 'G': 0.1, 'F': 0.4, 'I': 0.2, 'H': 0.3, 'K': 0.0, 'M': -0.2, 'L': 0.0, 'N': -0.9, 'Q': -0.1, 'P': -1.2, 'S': 0.4, 'R': 0.1, 'T': -0.3, 'W': 0.5, 'V': 0.3, 'Y': 0.4}, 1: {'A': -0.3, 'C': -1.7, 'E': -1.3, 'D': -1.3, 'G': -4.0, 'F': -0.6, 'I': 0.1, 'H': -2.6, 'K': -1.3, 'M': 1.0, 'L': 1.8, 'N': -3.2, 'Q': -2.8, 'P': -3.3, 'S': -1.3, 'R': -3.2, 'T': -0.2, 'W': -1.6, 'V': 0.0, 'Y': -2.4}, 2: {'A': 0.2, 'C': 0.1, 'E': -1.1, 'D': 0.5, 'G': 0.0, 'F': 0.0, 'I': 0.0, 'H': 0.5, 'K': -0.7, 'M': 0.3, 'L': 0.1, 'N': 0.1, 'Q': -0.5, 'P': -0.3, 'S': -0.1, 'R': -0.2, 'T': -0.7, 'W': 1.1, 'V': 0.1, 'Y': 0.1}, 3: {'A': 0.0, 'C': -0.2, 'E': 0.5, 'D': 0.8, 'G': 0.5, 'F': -1.2, 'I': 0.0, 'H': 0.0, 'K': -0.8, 'M': -0.3, 'L': -0.3, 'N': -0.5, 'Q': 0.0, 'P': 0.8, 'S': -0.2, 'R': 0.0, 'T': -0.1, 'W': 0.0, 'V': -0.8, 'Y': -3.0}, 4: {'A': -0.5, 'C': -0.2, 'E': 0.1, 'D': -0.8, 'G': 0.7, 'F': 0.0, 'I': -0.3, 'H': 0.4, 'K': -0.1, 'M': -0.6, 'L': 0.1, 'N': -0.2, 'Q': 0.0, 'P': 0.0, 'S': -1.0, 'R': -0.2, 'T': 0.0, 'W': 0.7, 'V': 0.2, 'Y': 0.5}, 5: {'A': -0.4, 'C': 0.2, 'E': -0.3, 'D': -0.6, 'G': -0.8, 'F': 0.5, 'I': 0.7, 'H': -0.1, 'K': -0.8, 'M': 0.7, 'L': 0.3, 'N': -0.3, 'Q': -0.3, 'P': -0.2, 'S': -0.3, 'R': -1.0, 'T': 0.1, 'W': -0.2, 'V': 0.7, 'Y': -0.1}, 6: {'A': 0.1, 'C': 0.3, 'E': -0.5, 'D': -1.0, 'G': -0.6, 'F': 0.0, 'I': 0.2, 'H': 0.9, 'K': -1.6, 'M': 0.4, 'L': 0.1, 'N': -0.2, 'Q': 0.0, 'P': 0.1, 'S': -0.3, 'R': 0.0, 'T': 0.0, 'W': 1.2, 'V': 0.5, 'Y': -0.2}, 7: {'A': -0.5, 'C': 0.0, 'E': 0.3, 'D': -1.1, 'G': -0.4, 'F': 0.0, 'I': -0.1, 'H': 0.2, 'K': 0.0, 'M': -0.3, 'L': 0.0, 'N': -0.3, 'Q': 0.3, 'P': -0.4, 'S': 0.2, 'R': 0.6, 'T': 0.5, 'W': 0.1, 'V': -0.5, 'Y': 0.2}, 8: {'A': -0.1, 'C': 0.6, 'E': -3.6, 'D': -3.7, 'G': -4.0, 'F': -2.3, 'I': 0.5, 'H': -2.7, 'K': -3.4, 'M': 0.1, 'L': 1.2, 'N': -3.4, 'Q': -0.5, 'P': -3.3, 'S': -1.4, 'R': -3.3, 'T': -1.0, 'W': -1.8, 'V': 1.7, 'Y': -2.5}} | 1,948 | 1,948 | 0.285934 | 552 | 1,948 | 1.005435 | 0.056159 | 0.09009 | 0.021622 | 0.028829 | 0.436036 | 0.111712 | 0.068468 | 0.068468 | 0.03964 | 0.03964 | 0 | 0.237009 | 0.189938 | 1,948 | 1 | 1,948 | 1,948 | 0.114702 | 0 | 0 | 0 | 0 | 0 | 0.092355 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
8509d8623fe42d8cc0d7bae8f5d2a201f6f0cfaf | 399 | py | Python | pyrts/__init__.py | Rouzip/python-microRTS | da66ca31d7b6252dbddefa88280d7456efd0c74e | [
"Apache-2.0"
] | 18 | 2018-09-24T17:00:59.000Z | 2020-10-09T19:24:50.000Z | pyrts/__init__.py | Rouzip/python-microRTS | da66ca31d7b6252dbddefa88280d7456efd0c74e | [
"Apache-2.0"
] | 3 | 2019-11-12T19:17:49.000Z | 2019-11-20T07:27:06.000Z | pyrts/__init__.py | Rouzip/python-microRTS | da66ca31d7b6252dbddefa88280d7456efd0c74e | [
"Apache-2.0"
] | 4 | 2019-10-19T07:29:58.000Z | 2020-12-13T11:19:48.000Z | from pyrts.server import Server
from pyrts.server import PLAYER
# Actions
from pyrts.server import NONE
from pyrts.server import MOVE
from pyrts.server import HARVEST
from pyrts.server import RETURN
from pyrts.server import PRODUCE
from pyrts.server import ATTACK
# Directions
from pyrts.server import UP
from pyrts.server import RIGHT
from pyrts.server import DOWN
from pyrts.server import LEFT | 22.166667 | 32 | 0.827068 | 62 | 399 | 5.322581 | 0.274194 | 0.327273 | 0.545455 | 0.763636 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.137845 | 399 | 18 | 33 | 22.166667 | 0.959302 | 0.045113 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 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 |
51c203beb250d28c29502d6663da9f8a0e2d9c43 | 38 | py | Python | modem_logger/__init__.py | kariudo/modem-logger | 387843716aa62f0e60168740417561a644591929 | [
"MIT"
] | 3 | 2021-06-26T16:27:39.000Z | 2021-09-23T01:01:10.000Z | modem_logger/__init__.py | kariudo/modem-logger | 387843716aa62f0e60168740417561a644591929 | [
"MIT"
] | 1 | 2021-11-29T05:44:29.000Z | 2021-12-01T21:00:38.000Z | modem_logger/__init__.py | kariudo/modem-logger | 387843716aa62f0e60168740417561a644591929 | [
"MIT"
] | null | null | null | from .netgear_cm500 import CM500Parser | 38 | 38 | 0.894737 | 5 | 38 | 6.6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.171429 | 0.078947 | 38 | 1 | 38 | 38 | 0.771429 | 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 |
51e6a900579d0f3ce6501086688cbacbea94119e | 6,487 | py | Python | pymtl3/stdlib/test_utils/test/run_test_vector_sim_test.py | jbrzozo24/pymtl3 | 50f1193453da6034be97dbc74041b83e76030a5f | [
"BSD-3-Clause"
] | 152 | 2020-06-03T02:34:11.000Z | 2022-03-30T04:16:45.000Z | pymtl3/stdlib/test_utils/test/run_test_vector_sim_test.py | jbrzozo24/pymtl3 | 50f1193453da6034be97dbc74041b83e76030a5f | [
"BSD-3-Clause"
] | 139 | 2019-05-29T00:37:09.000Z | 2020-05-17T16:49:26.000Z | pymtl3/stdlib/test_utils/test/run_test_vector_sim_test.py | jbrzozo24/pymtl3 | 50f1193453da6034be97dbc74041b83e76030a5f | [
"BSD-3-Clause"
] | 22 | 2020-05-18T13:42:05.000Z | 2022-03-11T08:37:51.000Z | #=========================================================================
# run_test_vector_sim_test
#=========================================================================
import pytest
from pymtl3 import *
from pymtl3.stdlib.test_utils import run_test_vector_sim
from pymtl3.stdlib.test_utils import RunTestVectorSimError
#-------------------------------------------------------------------------
# Test component with 1 input and 1 output port
#-------------------------------------------------------------------------
class TestComponent1i1o( Component ):
def construct( s ):
s.in_ = InPort(2)
s.out = OutPort(2)
@update
def up():
s.out @= s.in_ + 1
def line_trace(s):
return f"{s.in_}(){s.out}"
def test_1i1o_basic( cmdline_opts ):
run_test_vector_sim( TestComponent1i1o(), [
('in_ out*' ),
[ 0, 1 ],
[ 1, 2 ],
[ 0, 1 ],
], cmdline_opts )
# Verify that using a don't care works
def test_1i1o_dontcare( cmdline_opts ):
run_test_vector_sim( TestComponent1i1o(), [
('in_ out*' ),
[ 0, '?' ],
[ 1, 2 ],
[ 0, 1 ],
], cmdline_opts )
# Verify that an exception is thrown if the output is incorrect
def test_1i1o_incorrect_output( cmdline_opts ):
with pytest.raises(RunTestVectorSimError):
run_test_vector_sim( TestComponent1i1o(), [
('in_ out*' ),
[ 0, 0 ],
[ 1, 1 ],
[ 0, 0 ],
], cmdline_opts )
# Verify that an exception is thrown if input port name is wrong
def test_1i1o_incorrect_inport( cmdline_opts ):
with pytest.raises(RunTestVectorSimError):
run_test_vector_sim( TestComponent1i1o(), [
('inX out*' ),
[ 0, 0 ],
[ 1, 2 ],
[ 0, 0 ],
], cmdline_opts )
# Verify that an exception is thrown if output port name is wrong
def test_1i1o_incorrect_outport( cmdline_opts ):
with pytest.raises(RunTestVectorSimError):
run_test_vector_sim( TestComponent1i1o(), [
('in_ outX*' ),
[ 0, 0 ],
[ 1, 2 ],
[ 0, 0 ],
], cmdline_opts )
#-------------------------------------------------------------------------
# Test component with 2 input and 2 output port
#-------------------------------------------------------------------------
class TestComponent2i2o( Component ):
def construct( s ):
s.in0 = InPort(2)
s.in1 = InPort(2)
s.out0 = OutPort(2)
s.out1 = OutPort(2)
@update
def up():
s.out0 @= s.in0 + 1
s.out1 @= s.in1 + 2
def line_trace(s):
return f"{s.in0}|{s.in1}(){s.out0}|{s.out1}"
def test_2i2o_basic( cmdline_opts ):
run_test_vector_sim( TestComponent2i2o(), [
('in0 in1 out0* out1*' ),
[ 0, 0, 1, 2 ],
[ 1, 0, 2, 2 ],
[ 0, 1, 1, 3 ],
], cmdline_opts )
# Verify that using a don't care works
def test_2i2o_dontcare( cmdline_opts ):
run_test_vector_sim( TestComponent2i2o(), [
('in0 in1 out0* out1*' ),
[ 0, 0, '?', '?' ],
[ 1, 0, 2, '?' ],
[ 0, 1, 1, 3 ],
], cmdline_opts )
# Verify that an exception is thrown if the output is incorrect
def test_2i2o_incorrect_output( cmdline_opts ):
with pytest.raises(RunTestVectorSimError):
run_test_vector_sim( TestComponent2i2o(), [
('in0 in1 out0* out1*' ),
[ 0, 0, 1, 2 ],
[ 1, 0, 3, 2 ],
[ 0, 1, 1, 3 ],
], cmdline_opts )
# Verify that an exception is thrown if input port name is wrong
def test_2i2o_incorrect_inport( cmdline_opts ):
with pytest.raises(RunTestVectorSimError):
run_test_vector_sim( TestComponent2i2o(), [
('in0 inX out0* out1*' ),
[ 0, 0, 1, 2 ],
[ 1, 0, 2, 2 ],
[ 0, 1, 1, 3 ],
], cmdline_opts )
# Verify that an exception is thrown if output port name is wrong
def test_2i2o_incorrect_outport( cmdline_opts ):
with pytest.raises(RunTestVectorSimError):
run_test_vector_sim( TestComponent2i2o(), [
('in0 in1 outX* out1*' ),
[ 0, 0, 1, 2 ],
[ 1, 0, 2, 2 ],
[ 0, 1, 1, 3 ],
], cmdline_opts )
#-------------------------------------------------------------------------
# Test component with input and output array ports
#-------------------------------------------------------------------------
class TestComponentArray2i2o( Component ):
def construct( s ):
s.in_ = [ InPort(2) for _ in range(2) ]
s.out = [ OutPort(2) for _ in range(2) ]
@update
def up():
s.out[0] @= s.in_[0] + 1
s.out[1] @= s.in_[1] + 2
def line_trace(s):
return f"{s.in_[0]}|{s.in_[1]}(){s.out[0]}|{s.out[1]}"
def test_a2i2o_basic( cmdline_opts ):
run_test_vector_sim( TestComponentArray2i2o(), [
('in_[0] in_[1] out[0]* out[1]*' ),
[ 0, 0, 1, 2 ],
[ 1, 0, 2, 2 ],
[ 0, 1, 1, 3 ],
], cmdline_opts )
# Verify that using a don't care works
def test_a2i2o_dontcare( cmdline_opts ):
run_test_vector_sim( TestComponentArray2i2o(), [
('in_[0] in_[1] out[0]* out[1]*' ),
[ 0, 0, '?', '?' ],
[ 1, 0, 2, '?' ],
[ 0, 1, 1, 3 ],
], cmdline_opts )
# Verify that an exception is thrown if the output is incorrect
def test_a2i2o_incorrect_output( cmdline_opts ):
with pytest.raises(RunTestVectorSimError):
run_test_vector_sim( TestComponentArray2i2o(), [
('in_[0] in_[1] out[0]* out[1]*' ),
[ 0, 0, 1, 2 ],
[ 1, 0, 3, 2 ],
[ 0, 1, 1, 3 ],
], cmdline_opts )
# Verify that an exception is thrown if input port name is wrong
def test_a2i2o_incorrect_inport( cmdline_opts ):
with pytest.raises(RunTestVectorSimError):
run_test_vector_sim( TestComponentArray2i2o(), [
('in_[0] inX out[0]* out[1]*' ),
[ 0, 0, 1, 2 ],
[ 1, 0, 2, 2 ],
[ 0, 1, 1, 3 ],
], cmdline_opts )
# Verify that an exception is thrown if output port name is wrong
def test_a2i2o_incorrect_outport( cmdline_opts ):
with pytest.raises(RunTestVectorSimError):
run_test_vector_sim( TestComponentArray2i2o(), [
('in_[0] in_[1] outX* out[1]*' ),
[ 0, 0, 1, 2 ],
[ 1, 0, 2, 2 ],
[ 0, 1, 1, 3 ],
], cmdline_opts )
| 30.032407 | 74 | 0.49869 | 771 | 6,487 | 4.002594 | 0.094682 | 0.106935 | 0.071614 | 0.08814 | 0.858717 | 0.828257 | 0.789047 | 0.77641 | 0.714517 | 0.714517 | 0 | 0.062189 | 0.288577 | 6,487 | 215 | 75 | 30.172093 | 0.606501 | 0.220133 | 0 | 0.691275 | 0 | 0.006711 | 0.075884 | 0.015495 | 0 | 0 | 0 | 0 | 0 | 1 | 0.161074 | false | 0 | 0.026846 | 0.020134 | 0.228188 | 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 |
cfb38a8f63a3a924c4b717ec1cf165c6cdafb632 | 38 | py | Python | maml_zoo/envs/__init__.py | intel-isl/MetaLearningTradeoffs | bb1b849742a959310f3b9b630bb76ae3509a5d4a | [
"MIT"
] | 2 | 2021-04-26T15:09:46.000Z | 2021-04-28T11:58:28.000Z | maml_zoo/envs/__init__.py | intel-isl/MetaLearningTradeoffs | bb1b849742a959310f3b9b630bb76ae3509a5d4a | [
"MIT"
] | null | null | null | maml_zoo/envs/__init__.py | intel-isl/MetaLearningTradeoffs | bb1b849742a959310f3b9b630bb76ae3509a5d4a | [
"MIT"
] | null | null | null | from maml_zoo.envs.base import MetaEnv | 38 | 38 | 0.868421 | 7 | 38 | 4.571429 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.078947 | 38 | 1 | 38 | 38 | 0.914286 | 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 |
cfbf0d0d2eeadc560b28fd6022673f32e81fd7d0 | 21 | py | Python | example_project/some_modules/third_modules/a118.py | Yuriy-Leonov/cython_imports_limit_issue | 2f9e7c02798fb52185dabfe6ce3811c439ca2839 | [
"MIT"
] | null | null | null | example_project/some_modules/third_modules/a118.py | Yuriy-Leonov/cython_imports_limit_issue | 2f9e7c02798fb52185dabfe6ce3811c439ca2839 | [
"MIT"
] | null | null | null | example_project/some_modules/third_modules/a118.py | Yuriy-Leonov/cython_imports_limit_issue | 2f9e7c02798fb52185dabfe6ce3811c439ca2839 | [
"MIT"
] | null | null | null | class A118:
pass
| 7 | 11 | 0.619048 | 3 | 21 | 4.333333 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.214286 | 0.333333 | 21 | 2 | 12 | 10.5 | 0.714286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.5 | 0 | 0 | 0.5 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 |
cfc1adc75e5e3a41488d7d19f07bc3549a3f5f10 | 7,106 | py | Python | test/test_fcns.py | mramospe/minkit | fa6808a6ca8063751da92f683f2b810a0690a462 | [
"MIT-0"
] | null | null | null | test/test_fcns.py | mramospe/minkit | fa6808a6ca8063751da92f683f2b810a0690a462 | [
"MIT-0"
] | 5 | 2020-01-30T18:30:33.000Z | 2020-11-10T09:13:47.000Z | test/test_fcns.py | mramospe/minkit | fa6808a6ca8063751da92f683f2b810a0690a462 | [
"MIT-0"
] | 1 | 2020-02-03T22:59:00.000Z | 2020-02-03T22:59:00.000Z | ########################################
# MIT License
#
# Copyright (c) 2020 Miguel Ramos Pernas
########################################
'''
Test the "fcns" module.
'''
import helpers
import minkit
import numpy as np
import pytest
helpers.configure_logging()
@pytest.mark.minimization
@helpers.setting_seed
def test_binned_maximum_likelihood():
'''
Test the "binned_maximum_likelihood" FCN.
'''
# Simple fit to a Gaussian
m = minkit.Parameter('m', bounds=(0, 20)) # bounds to generate data later
c = minkit.Parameter('c', 10, bounds=(8, 12))
s = minkit.Parameter('s', 2, bounds=(1, 3))
g = minkit.Gaussian('gaussian', m, c, s)
values, edges = np.histogram(
helpers.rndm_gen.normal(c.value, s.value, 1000), range=m.bounds, bins=100)
data = minkit.BinnedDataSet.from_ndarray(edges, m, values)
with helpers.fit_test(g) as test:
with minkit.minimizer('bml', g, data, minimizer='minuit') as minuit:
test.result = minuit.migrad()
# Add constraints
cc = minkit.Parameter('cc', 10)
sc = minkit.Parameter('sc', 1)
gc = minkit.Gaussian('constraint', c, cc, sc)
with helpers.fit_test(g) as test:
with minkit.minimizer('bml', g, data, minimizer='minuit', constraints=[gc]) as minuit:
test.result = minuit.migrad()
# Test for a composed PDF
k = minkit.Parameter('k', -0.1, bounds=(-1, 0))
e = minkit.Exponential('e', m, k)
y = minkit.Parameter('y', 0.5, bounds=(0, 1))
pdf = minkit.AddPDFs.two_components('pdf', g, e, y)
data = pdf.generate(10000)
values, edges = np.histogram(
data[m.name].as_ndarray(), range=m.bounds, bins=100)
data = minkit.BinnedDataSet.from_ndarray(edges, m, values)
with helpers.fit_test(pdf) as test:
with minkit.minimizer('bml', pdf, data) as minimizer:
test.result = minimizer.migrad()
# Test for a PDF with no "evaluate_binned" function defined
m = minkit.Parameter('m', bounds=(0, 10))
a = minkit.Parameter('a', 0)
theta = minkit.Parameter('theta', 2, bounds=(0, 3))
alpha = minkit.Parameter('alpha', 0.5)
beta = minkit.Parameter('beta', 2)
pdf = minkit.Amoroso('amoroso', m, a, theta, alpha, beta)
data = pdf.generate(10000)
values, edges = np.histogram(
data[m.name].as_ndarray(), range=m.bounds, bins=100)
data = minkit.BinnedDataSet.from_ndarray(edges, m, values)
with helpers.fit_test(pdf) as test:
with minkit.minimizer('bml', pdf, data) as minimizer:
test.result = minimizer.migrad()
@pytest.mark.minimization
@helpers.setting_seed
def test_binned_extended_maximum_likelihood():
'''
Test the "binned_extended_maximum_likelihood" FCN.
'''
pdf = helpers.default_add_pdfs(extended=True, yields=('ng', 'ne'))
ntot = int(pdf.args.get('ng').value + pdf.args.get('ne').value)
data = pdf.generate(ntot).make_binned(100)
with helpers.fit_test(pdf) as test:
with minkit.minimizer('beml', pdf, data) as minimizer:
test.result = minimizer.migrad()
@pytest.mark.minimization
@helpers.setting_seed
def test_binned_chisquare():
'''
Test the "binned_chisquare" FCN.
'''
# Single PDF
m = minkit.Parameter('m', bounds=(0, 20))
c = minkit.Parameter('c', 10., bounds=(8, 12))
# all bins must be highly populated
s = minkit.Parameter('s', 3., bounds=(2, 7))
g = minkit.Gaussian('gaussian', m, c, s)
data = g.generate(10000)
values, edges = np.histogram(
data[m.name].as_ndarray(), range=m.bounds, bins=100)
data = minkit.BinnedDataSet.from_ndarray(edges, m, values)
with helpers.fit_test(g) as test:
with minkit.minimizer('chi2', g, data) as minimizer:
test.result = minimizer.migrad()
# Many PDfs
k = minkit.Parameter('k', -0.1, bounds=(-1, 0))
e = minkit.Exponential('exponential', m, k)
ng = minkit.Parameter('ng', 10000, bounds=(0, 100000))
ne = minkit.Parameter('ne', 1000, bounds=(0, 100000))
pdf = minkit.AddPDFs.two_components('pdf', g, e, ng, ne)
data = pdf.generate(int(ng.value + ne.value))
values, edges = np.histogram(
data[m.name].as_ndarray(), range=m.bounds, bins=100)
data = minkit.BinnedDataSet.from_ndarray(edges, m, values)
with helpers.fit_test(pdf) as test:
with minkit.minimizer('chi2', pdf, data) as minimizer:
test.result = minimizer.migrad()
@pytest.mark.minimization
@helpers.setting_seed
def test_binned_extended_chisquare():
'''
Test the "binned_extended_chisquare" FCN.
'''
pdf = helpers.default_add_pdfs(extended=True, yields=('ng', 'ne'))
ntot = int(pdf.args.get('ng').value + pdf.args.get('ne').value)
data = pdf.generate(ntot).make_binned(100)
with helpers.fit_test(pdf) as test:
with minkit.minimizer('echi2', pdf, data) as minimizer:
test.result = minimizer.migrad()
@pytest.mark.minimization
@helpers.setting_seed
def test_unbinned_extended_maximum_likelihood():
'''
Test the "unbinned_extended_maximum_likelihood" FCN.
'''
m = minkit.Parameter('m', bounds=(-5, +15))
# Create an Exponential PDF
k = minkit.Parameter('k', -0.1, bounds=(-0.2, 0))
e = minkit.Exponential('exponential', m, k)
# Create a Gaussian PDF
c = minkit.Parameter('c', 10., bounds=(8, 12))
s = minkit.Parameter('s', 1., bounds=(0.5, 2))
g = minkit.Gaussian('gaussian', m, c, s)
# Add them together
ng = minkit.Parameter('ng', 10000, bounds=(0, 100000))
ne = minkit.Parameter('ne', 1000, bounds=(0, 100000))
pdf = minkit.AddPDFs.two_components('model', g, e, ng, ne)
data = pdf.generate(int(ng.value + ne.value))
with helpers.fit_test(pdf) as test:
with minkit.minimizer('ueml', pdf, data, minimizer='minuit') as minuit:
test.result = minuit.migrad()
# Add constraints
cc = minkit.Parameter('cc', 10)
sc = minkit.Parameter('sc', 1)
gc = minkit.Gaussian('constraint', c, cc, sc)
with helpers.fit_test(pdf) as test:
with minkit.minimizer('ueml', pdf, data, minimizer='minuit', constraints=[gc]) as minuit:
test.result = minuit.migrad()
@pytest.mark.minimization
@helpers.setting_seed
def test_unbinned_maximum_likelihood():
'''
Test the "unbinned_maximum_likelihood" FCN.
'''
# Simple fit to a Gaussian
m = minkit.Parameter('m', bounds=(5, 15))
c = minkit.Parameter('c', 10., bounds=(8, 12))
s = minkit.Parameter('s', 1., bounds=(0.5, 2))
g = minkit.Gaussian('gaussian', m, c, s)
data = g.generate(10000)
with helpers.fit_test(g) as test:
with minkit.minimizer('uml', g, data, minimizer='minuit') as minuit:
test.result = minuit.migrad()
# Add constraints
cc = minkit.Parameter('cc', 10)
sc = minkit.Parameter('sc', 0.1)
gc = minkit.Gaussian('constraint', c, cc, sc)
with helpers.fit_test(g) as test:
with minkit.minimizer('uml', g, data, minimizer='minuit', constraints=[gc]) as minuit:
test.result = minuit.migrad()
| 31.030568 | 97 | 0.631157 | 966 | 7,106 | 4.569358 | 0.136646 | 0.105347 | 0.038061 | 0.048935 | 0.834844 | 0.804939 | 0.797689 | 0.759402 | 0.737653 | 0.725646 | 0 | 0.032069 | 0.205742 | 7,106 | 228 | 98 | 31.166667 | 0.75 | 0.094427 | 0 | 0.694656 | 0 | 0 | 0.040058 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045802 | false | 0 | 0.030534 | 0 | 0.076336 | 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 |
cfda2d6052f642ad686af3b525f0b1c8d70b30ba | 218 | py | Python | lib/python2.7/site-packages/braintree/discount.py | ervinpepic/E-commerce | 2c15255d1730728cf35c166b9f88cffcb99f5323 | [
"MIT"
] | 182 | 2015-01-09T05:26:46.000Z | 2022-03-16T14:10:06.000Z | lib/python2.7/site-packages/braintree/discount.py | ervinpepic/E-commerce | 2c15255d1730728cf35c166b9f88cffcb99f5323 | [
"MIT"
] | 95 | 2015-02-24T23:29:56.000Z | 2022-03-13T03:27:58.000Z | lib/python2.7/site-packages/braintree/discount.py | ervinpepic/E-commerce | 2c15255d1730728cf35c166b9f88cffcb99f5323 | [
"MIT"
] | 93 | 2015-02-19T17:59:06.000Z | 2022-03-19T17:01:25.000Z | from braintree.modification import Modification
from braintree.configuration import Configuration
class Discount(Modification):
@staticmethod
def all():
return Configuration.gateway().discount.all()
| 21.8 | 53 | 0.770642 | 21 | 218 | 8 | 0.571429 | 0.154762 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.155963 | 218 | 9 | 54 | 24.222222 | 0.913043 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | true | 0 | 0.333333 | 0.166667 | 0.833333 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 6 |
cfffea1ad6c4ccd0849d2fd3ade08b5ed6944458 | 87 | py | Python | opticl/__init__.py | hwiberg/OptiCL | f2512cfd408882700fe43c22d4e4b5c5f5c87b53 | [
"MIT"
] | 46 | 2021-11-04T20:17:32.000Z | 2022-03-25T17:12:02.000Z | opticl/__init__.py | hwiberg/OptiCL | f2512cfd408882700fe43c22d4e4b5c5f5c87b53 | [
"MIT"
] | null | null | null | opticl/__init__.py | hwiberg/OptiCL | f2512cfd408882700fe43c22d4e4b5c5f5c87b53 | [
"MIT"
] | 3 | 2021-11-12T02:57:54.000Z | 2022-01-14T15:45:55.000Z | from .constraint_learning import *
from .embed_mip import *
from .run_MLmodels import * | 29 | 34 | 0.804598 | 12 | 87 | 5.583333 | 0.666667 | 0.298507 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.126437 | 87 | 3 | 35 | 29 | 0.881579 | 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 |
321e468b1899026cb2147715896148940aae61e3 | 75 | py | Python | libs/uix/baseclasses/events.py | mkbeh/CRyptoLab | 424c938c16c9264e99eff71e4c1a27ca65314d42 | [
"MIT"
] | null | null | null | libs/uix/baseclasses/events.py | mkbeh/CRyptoLab | 424c938c16c9264e99eff71e4c1a27ca65314d42 | [
"MIT"
] | 1 | 2021-06-01T22:30:24.000Z | 2021-06-01T22:30:24.000Z | libs/uix/baseclasses/events.py | mkbeh/CRyptoLab | 424c938c16c9264e99eff71e4c1a27ca65314d42 | [
"MIT"
] | 1 | 2021-05-11T23:06:20.000Z | 2021-05-11T23:06:20.000Z | from kivy.uix.screenmanager import Screen
class Events(Screen):
pass
| 12.5 | 41 | 0.76 | 10 | 75 | 5.7 | 0.9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.173333 | 75 | 5 | 42 | 15 | 0.919355 | 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 |
5c677012d91d8de0eb4ccfe9a9e70f8c799a31ca | 5,899 | py | Python | basis_analysis.py | etienne-monier/2020-Ultramicro-fast | ffd90fa6467b36b38dbbbe336c12cf9b8e155060 | [
"MIT"
] | 2 | 2020-04-29T21:46:01.000Z | 2021-04-23T14:38:51.000Z | basis_analysis.py | etienne-monier/2020-Ultramicro-fast | ffd90fa6467b36b38dbbbe336c12cf9b8e155060 | [
"MIT"
] | 1 | 2021-04-25T15:55:55.000Z | 2021-04-27T18:57:15.000Z | basis_analysis.py | etienne-monier/2020-Ultramicro-fast | ffd90fa6467b36b38dbbbe336c12cf9b8e155060 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import scipy.fftpack as fftp
import numpy as np
from numpy.linalg import norm
import pywt
def FourierApproxError(X0, r):
r"""Computes the approximation error in Fourier basis for 3D data.
Let a ratio r be set.
A band-by-band Fourier transformation is applied to X0. Then, the
:math:`\ell_2` norm is applied to each spectrum of it. Last, only
the r percent higher norms are kept, the other norms spectra are set
to 0. An inverse band-by-band Fourier transformation is applied and the
NMSE is computed.
This is done for all elements in r.
Arguments
---------
X0: (m, n, L) numpy array
The data to be studied.
r: (R, ) numpy array
The set of ratios to test.
Returns
-------
(R, ) numpy array
The approximation error for all r.
"""
m, n, L = X0.shape
# FFT transform
A = fftp.fftn(X0, axes=(0, 1)) / np.sqrt(m*n)
# Get l2-norm along spectra and sort it in decreasing order
l2norm = norm(np.abs(A), axis=2)
l2normsorted = l2norm.copy().flatten()
l2normsorted[::-1].sort()
# Get threshold depending on r.
Threshold = l2normsorted[(np.round(r * (n * m - 1))).astype(int)]
# Threshold decomposition
l2normup = np.tile(l2norm, [r.size, 1, 1])
Thresholdup = np.tile(Threshold[:, np.newaxis, np.newaxis], [1, m, n])
thresh_l2norm = l2normup <= Thresholdup
mask = np.moveaxis(np.tile(thresh_l2norm, [L, 1, 1, 1]), 0, 1)
A = np.tile(np.moveaxis(A, -1, 0), [r.size, 1, 1, 1])
A[mask] = 0
# Reconstruction
Xhat = np.real(np.sqrt(m*n) * fftp.ifftn(A, axes=(-2, -1)))
# Approximation error
X0up = np.tile(np.moveaxis(X0, -1, 0), [r.size, 1, 1, 1])
approxError = np.sum((X0up - Xhat)**2, axis=(1, 2, 3)) / \
np.sum(X0up**2, axis=(1, 2, 3))
return (approxError, A)
def DctApproxError(X0, r):
r"""Computes the approximation error in DCT basis for 3D data.
Let a ratio r be set.
A band-by-band DCT transformation is applied to X0. Then, the
:math:`\ell_2` norm is applied to each spectrum of it. Last, only
the r percent higher norms are kept, the other norms spectra are set
to 0. An inverse band-by-band DCT transformation is applied and the
NMSE is computed.
This is done for all elements in r.
Arguments
---------
X0: (m, n, L) numpy array
The data to be studied.
r: (R, ) numpy array
The set of ratios to test.
Returns
-------
(R, ) numpy array
The approximation error for all r.
"""
m, n, L = X0.shape
# FFT transform
A = fftp.dct(X0, axis=0, norm='ortho')
A = fftp.dct(A, axis=1, norm='ortho')
# Get l2-norm along spectra and sort it in decreasing order
l2norm = norm(A, axis=2)
l2normsorted = l2norm.copy().flatten()
l2normsorted[::-1].sort()
# Get threshold depending on r.
Threshold = l2normsorted[(np.round(r * (n * m - 1))).astype(int)]
# Threshold decomposition
l2normup = np.tile(l2norm, [r.size, 1, 1])
Thresholdup = np.tile(Threshold[:, np.newaxis, np.newaxis], [1, m, n])
thresh_l2norm = l2normup <= Thresholdup
mask = np.moveaxis(np.tile(thresh_l2norm, [L, 1, 1, 1]), 0, 1)
A = np.tile(np.moveaxis(A, -1, 0), [r.size, 1, 1, 1])
A[mask] = 0
# Reconstruction
Xhat = fftp.idct(A, axis=-1, norm='ortho')
Xhat = fftp.idct(Xhat, axis=-2, norm='ortho')
# Approximation error
X0up = np.tile(np.moveaxis(X0, -1, 0), [r.size, 1, 1, 1])
approxError = np.sum((X0up - Xhat)**2, axis=(1, 2, 3)) / \
np.sum(X0up**2, axis=(1, 2, 3))
return (approxError, A)
def WaveletApproxError(X0, r, w):
r"""Computes the approximation error in wavelet basis for 3D data.
Let a ratio r be set.
A band-by-band wavelet transformation is applied to X0. Then, the
:math:`\ell_2` norm is applied to each spectrum of it. Last, only
the r percent higher norms are kept, the other norms spectra are set
to 0. An inverse band-by-band wavelet transformation is applied and the
NMSE is computed.
This is done for all elements in r.
To get the available wavelets, do:
.. code::python
>>> import pywt
>>> pywt.families(short=True)
# Put short to False to have full names.
>>> pywt.wavelist(family=db)
Arguments
---------
X0: (m, n, L) numpy array
The data to be studied.
r: (R, ) numpy array
The set of ratios to test.
w: str
The wavelet to use.
Returns
-------
(R, ) numpy array
The approximation error for all r.
"""
# FFT transform
A, coeffs = pywt.coeffs_to_array(
pywt.wavedec2(X0, w, axes=(0, 1)), axes=(0, 1))
m, n, L = A.shape
# Get l2-norm along spectra and sort it in decreasing order
l2norm = norm(A, axis=2)
l2normsorted = l2norm.copy().flatten()
l2normsorted[::-1].sort()
# Get threshold depending on r.
Threshold = l2normsorted[(np.round(r * (n * m - 1))).astype(int)]
# Threshold decomposition
l2normup = np.tile(l2norm, [r.size, 1, 1])
Thresholdup = np.tile(Threshold[:, np.newaxis, np.newaxis], [1, m, n])
thresh_l2norm = l2normup <= Thresholdup
mask = np.moveaxis(np.tile(thresh_l2norm, [L, 1, 1, 1]), 0, 1)
A = np.tile(np.moveaxis(A, -1, 0), [r.size, 1, 1, 1])
A[mask] = 0
A = np.transpose(A, [2, 3, 1, 0])
# Reconstruction
Xhat = np.real(pywt.waverec2(
pywt.array_to_coeffs(A, coeffs, output_format='wavedec2'),
w,
axes=(0, 1)
)
)
# Approximation error
X0up = np.tile(np.moveaxis(X0, -1, 0), [r.size, 1, 1, 1])
Xhat = np.transpose(Xhat, [3, 2, 0, 1])
approxError = np.sum((X0up - Xhat)**2, axis=(1, 2, 3)) / \
np.sum(X0up**2, axis=(1, 2, 3))
return (approxError, A)
| 29.20297 | 75 | 0.600102 | 917 | 5,899 | 3.845147 | 0.166848 | 0.011912 | 0.033182 | 0.017867 | 0.83097 | 0.81367 | 0.804594 | 0.794952 | 0.775099 | 0.775099 | 0 | 0.042218 | 0.257162 | 5,899 | 201 | 76 | 29.348259 | 0.762437 | 0.436684 | 0 | 0.605634 | 0 | 0 | 0.00922 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.042254 | false | 0 | 0.056338 | 0 | 0.140845 | 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 |
5c8bdc2b51b955bb430dba0083794ebc5a83b333 | 9,592 | py | Python | tests/includes/config.py | NaeiKinDus/archive_converter | 155f48b74f873003640811830cb96f29b99b2466 | [
"Apache-2.0"
] | 1 | 2020-08-08T10:54:32.000Z | 2020-08-08T10:54:32.000Z | tests/includes/config.py | NaeiKinDus/archive_converter | 155f48b74f873003640811830cb96f29b99b2466 | [
"Apache-2.0"
] | null | null | null | tests/includes/config.py | NaeiKinDus/archive_converter | 155f48b74f873003640811830cb96f29b99b2466 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Test data and functions used by pytest
# Config parameters
OUTPUT_DIR = 'tests/output'
# Pytest data
get_files_data = [
(
'tests/images/single',
{
'tests/images/single': {
'dir': 'single',
'src': 'tests/images/single',
'files_list': [
('alphabet_a.png', 'tests/images/single/alphabet_a.png'),
('alphabet_b.png', 'tests/images/single/alphabet_b.png'),
('alphabet_c.png', 'tests/images/single/alphabet_c.png'),
('alphabet_d.png', 'tests/images/single/alphabet_d.png')
]
}
},
),
(
'tests/images/multiple',
{
'tests/images/multiple/Book 2 - Numbers': {
'dir': 'Book 2 - Numbers',
'src': 'tests/images/multiple/Book 2 - Numbers',
'files_list': [
('number_1.png', 'tests/images/multiple/Book 2 - Numbers/number_1.png'),
('number_2.png', 'tests/images/multiple/Book 2 - Numbers/number_2.png'),
('number_3.png', 'tests/images/multiple/Book 2 - Numbers/number_3.png'),
('number_4.png', 'tests/images/multiple/Book 2 - Numbers/number_4.png'),
('number_5.png', 'tests/images/multiple/Book 2 - Numbers/number_5.png'),
('number_6.png', 'tests/images/multiple/Book 2 - Numbers/number_6.png'),
('number_7.png', 'tests/images/multiple/Book 2 - Numbers/number_7.png'),
('number_8.png', 'tests/images/multiple/Book 2 - Numbers/number_8.png'),
('number_9.png', 'tests/images/multiple/Book 2 - Numbers/number_9.png'),
('number_10.png', 'tests/images/multiple/Book 2 - Numbers/number_10.png')
]
},
'tests/images/multiple/sub/Book 3 - Animals': {
'dir': 'Book 3 - Animals',
'src': 'tests/images/multiple/sub/Book 3 - Animals',
'files_list': [
('dog.png', 'tests/images/multiple/sub/Book 3 - Animals/dog.png'),
('dog_cat.png', 'tests/images/multiple/sub/Book 3 - Animals/dog_cat.png'),
('elephant.png', 'tests/images/multiple/sub/Book 3 - Animals/elephant.png'),
('hummingbird.png', 'tests/images/multiple/sub/Book 3 - Animals/hummingbird.png'),
('monkey.png', 'tests/images/multiple/sub/Book 3 - Animals/monkey.png')
]
},
'tests/images/multiple/Book 1 - Alphabet': {
'dir': 'Book 1 - Alphabet',
'src': 'tests/images/multiple/Book 1 - Alphabet',
'files_list': [
('alphabet_a.png', 'tests/images/multiple/Book 1 - Alphabet/alphabet_a.png'),
('alphabet_b.png', 'tests/images/multiple/Book 1 - Alphabet/alphabet_b.png'),
('alphabet_c.png', 'tests/images/multiple/Book 1 - Alphabet/alphabet_c.png'),
('alphabet_d.png', 'tests/images/multiple/Book 1 - Alphabet/alphabet_d.png')
]
},
'tests/images/multiple/sub/Book 5 - Alphanimals': {
'dir': 'Book 5 - Alphanimals',
'src': 'tests/images/multiple/sub/Book 5 - Alphanimals',
'files_list': [
('alphabet_a.png', 'tests/images/multiple/sub/Book 5 - Alphanimals/alphabet_a.png'),
('alphabet_b.png', 'tests/images/multiple/sub/Book 5 - Alphanimals/alphabet_b.png'),
('alphabet_c.png', 'tests/images/multiple/sub/Book 5 - Alphanimals/alphabet_c.png'),
('alphabet_d.png', 'tests/images/multiple/sub/Book 5 - Alphanimals/alphabet_d.png'),
('dog.png', 'tests/images/multiple/sub/Book 5 - Alphanimals/dog.png'),
('dog_cat.png', 'tests/images/multiple/sub/Book 5 - Alphanimals/dog_cat.png'),
('elephant.png', 'tests/images/multiple/sub/Book 5 - Alphanimals/elephant.png'),
('hummingbird.png', 'tests/images/multiple/sub/Book 5 - Alphanimals/hummingbird.png'),
('monkey.png', 'tests/images/multiple/sub/Book 5 - Alphanimals/monkey.png')
]
},
'tests/images/multiple/sub/sub/Book 4 - Alphanumeric': {
'dir': 'Book 4 - Alphanumeric',
'src': 'tests/images/multiple/sub/sub/Book 4 - Alphanumeric',
'files_list': [
('alphabet_a.png', 'tests/images/multiple/sub/sub/Book 4 - Alphanumeric/alphabet_a.png'),
('alphabet_b.png', 'tests/images/multiple/sub/sub/Book 4 - Alphanumeric/alphabet_b.png'),
('alphabet_c.png', 'tests/images/multiple/sub/sub/Book 4 - Alphanumeric/alphabet_c.png'),
('alphabet_d.png', 'tests/images/multiple/sub/sub/Book 4 - Alphanumeric/alphabet_d.png'),
('number_1.png', 'tests/images/multiple/sub/sub/Book 4 - Alphanumeric/number_1.png'),
('number_2.png', 'tests/images/multiple/sub/sub/Book 4 - Alphanumeric/number_2.png'),
('number_3.png', 'tests/images/multiple/sub/sub/Book 4 - Alphanumeric/number_3.png'),
('number_4.png', 'tests/images/multiple/sub/sub/Book 4 - Alphanumeric/number_4.png'),
('number_5.png', 'tests/images/multiple/sub/sub/Book 4 - Alphanumeric/number_5.png'),
('number_6.png', 'tests/images/multiple/sub/sub/Book 4 - Alphanumeric/number_6.png'),
('number_7.png', 'tests/images/multiple/sub/sub/Book 4 - Alphanumeric/number_7.png'),
('number_8.png', 'tests/images/multiple/sub/sub/Book 4 - Alphanumeric/number_8.png'),
('number_9.png', 'tests/images/multiple/sub/sub/Book 4 - Alphanumeric/number_9.png'),
('number_10.png', 'tests/images/multiple/sub/sub/Book 4 - Alphanumeric/number_10.png')
],
}
}
)
]
generate_filename_data = [
# "directory" (default) switch
(
{'naming_method': 'directory', 'destination': None, 'naming_format': None},
'cbr', 'some/source/dir', 'book 1',
TypeError # destination is None, which should never happen, thus a TypeError
),
(
{'naming_method': 'directory', 'destination': 'some/destination', 'naming_format': 'should never appear'},
'cbr', 'some/source/dir/book 1', 'book 1',
'some/destination/book 1.cbr'
),
# "context" switch
(
{'naming_method': 'context', 'destination': None, 'naming_format': None},
'cbr', 'some/source/dir/book 1', 'book 1',
TypeError # destination is None, which should never happen, thus a TypeError
),
(
{'naming_method': 'context', 'destination': 'some/destination', 'naming_format': None},
'cbr', 'some/source/dir/book 1', 'book 1',
'some/destination/book 1.cbr' # empty naming format equates to using the directory naming method
),
(
{'naming_method': 'context', 'destination': 'some/destination',
'naming_format': 'dir:{dir}/src:{src}/ext:{extension}/dest:{destination}'},
'cbr', 'some/source/dir/book 1', 'book 1',
'some/destination/dir:book 1/src:some/source/dir/book 1/ext:cbr/dest:some/destination'
),
(
{'naming_method': 'not supported', 'destination': None, 'naming_format': None},
'cbr', 'some/source/dir/book 1', 'book 1',
NotImplementedError
)
]
unpack_cbz_data = [
# source_file, destination, validator, expected
(
'tests/archives/non-existent',
None,
lambda x: isinstance(x, FileNotFoundError),
None
),
(
'tests/archives/Book 1 - Alphabet.cbz'.format(OUTPUT_DIR),
None,
lambda x: x.startswith('/tmp/tmp'),
[
'alphabet_a.png',
'alphabet_b.png',
'alphabet_c.png',
'alphabet_d.png'
]
),
(
'tests/archives/Book 1 - Alphabet.cbz'.format(OUTPUT_DIR),
'{}/Book 1'.format(OUTPUT_DIR),
lambda x: x == '{}/Book 1'.format(OUTPUT_DIR),
[
'alphabet_a.png',
'alphabet_b.png',
'alphabet_c.png',
'alphabet_d.png'
]
)
]
unpack_cbr_data = [
# source_file, destination, validator, expected
(
'tests/archives/non-existent',
None,
lambda x: isinstance(x, FileNotFoundError),
None
),
(
'tests/archives/Book 2 - Numbers.cbr',
None,
lambda x: x.startswith('/tmp/tmp'),
[
'number_1.png',
'number_2.png',
'number_3.png',
'number_4.png',
'number_5.png',
'number_6.png',
'number_7.png',
'number_8.png',
'number_9.png',
'number_10.png',
]
),
(
'tests/archives/Book 2 - Numbers.cbr',
'{}/Book 2'.format(OUTPUT_DIR),
lambda x: x == '{}/Book 2'.format(OUTPUT_DIR),
[
'number_1.png',
'number_2.png',
'number_3.png',
'number_4.png',
'number_5.png',
'number_6.png',
'number_7.png',
'number_8.png',
'number_9.png',
'number_10.png',
]
),
] | 44.613953 | 114 | 0.53774 | 1,073 | 9,592 | 4.67754 | 0.089469 | 0.1315 | 0.200638 | 0.206017 | 0.882247 | 0.854951 | 0.818091 | 0.76589 | 0.651524 | 0.429966 | 0 | 0.022162 | 0.308486 | 9,592 | 215 | 115 | 44.613953 | 0.734509 | 0.044099 | 0 | 0.35 | 0 | 0.005 | 0.565189 | 0.287836 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
5c8f5fe740da46e8ecf0e3026acd91889bbe3522 | 23 | py | Python | hyperia/__init__.py | hyperia-inc/hyperia_python_sdk | 73ade4ab892f9e40242c0311843e2675ef4f25cb | [
"Apache-2.0"
] | 1 | 2022-01-06T06:22:47.000Z | 2022-01-06T06:22:47.000Z | hyperia/__init__.py | hyperia-inc/hyperia-python-sdk | 73ade4ab892f9e40242c0311843e2675ef4f25cb | [
"Apache-2.0"
] | null | null | null | hyperia/__init__.py | hyperia-inc/hyperia-python-sdk | 73ade4ab892f9e40242c0311843e2675ef4f25cb | [
"Apache-2.0"
] | null | null | null | from .hyperia import *
| 11.5 | 22 | 0.73913 | 3 | 23 | 5.666667 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.173913 | 23 | 1 | 23 | 23 | 0.894737 | 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 |
5cb399d973ad914add039984b0a1d948221f4c12 | 98 | py | Python | pylti1p3/contrib/flask/session.py | edubadges/pylti1.3 | 46534384b79076d254ff3e94676ae6155e77a05e | [
"MIT"
] | 62 | 2019-08-13T11:24:36.000Z | 2022-03-11T16:24:55.000Z | pylti1p3/contrib/flask/session.py | edubadges/pylti1.3 | 46534384b79076d254ff3e94676ae6155e77a05e | [
"MIT"
] | 58 | 2019-08-13T13:27:27.000Z | 2022-03-28T11:00:56.000Z | pylti1p3/contrib/flask/session.py | edubadges/pylti1.3 | 46534384b79076d254ff3e94676ae6155e77a05e | [
"MIT"
] | 35 | 2019-10-11T18:26:02.000Z | 2022-03-29T08:33:00.000Z | from pylti1p3.session import SessionService
class FlaskSessionService(SessionService):
pass
| 16.333333 | 43 | 0.826531 | 9 | 98 | 9 | 0.888889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.023529 | 0.132653 | 98 | 5 | 44 | 19.6 | 0.929412 | 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 |
5ccb805c9a78992485405bb87b8bd5e463942177 | 155 | py | Python | anarchonet/main/admin.py | urlordjames/anarcho-monarchy | e663ecc22a31ced90612a7a5b694d106964440be | [
"MIT"
] | null | null | null | anarchonet/main/admin.py | urlordjames/anarcho-monarchy | e663ecc22a31ced90612a7a5b694d106964440be | [
"MIT"
] | 1 | 2020-08-29T03:48:11.000Z | 2020-09-02T19:07:12.000Z | anarchonet/main/admin.py | urlordjames/anarcho-monarchy | e663ecc22a31ced90612a7a5b694d106964440be | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import Nation, Law, Player
admin.site.register(Nation)
admin.site.register(Law)
admin.site.register(Player)
| 22.142857 | 39 | 0.806452 | 23 | 155 | 5.434783 | 0.478261 | 0.216 | 0.408 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.090323 | 155 | 6 | 40 | 25.833333 | 0.886525 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
7a31a0193181b7c9cf7546b5304ed226c47ef2c4 | 84,460 | py | Python | nova/tests/unit/virt/test_virt_drivers.py | bopopescu/nova-token | ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2 | [
"Apache-2.0"
] | null | null | null | nova/tests/unit/virt/test_virt_drivers.py | bopopescu/nova-token | ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2 | [
"Apache-2.0"
] | null | null | null | nova/tests/unit/virt/test_virt_drivers.py | bopopescu/nova-token | ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2 | [
"Apache-2.0"
] | 2 | 2017-07-20T17:31:34.000Z | 2020-07-24T02:42:19.000Z | begin_unit
comment|'# Copyright 2010 OpenStack Foundation'
nl|'\n'
comment|'#'
nl|'\n'
comment|'# Licensed under the Apache License, Version 2.0 (the "License"); you may'
nl|'\n'
comment|'# not use this file except in compliance with the License. You may obtain'
nl|'\n'
comment|'# a copy of the License at'
nl|'\n'
comment|'#'
nl|'\n'
comment|'# http://www.apache.org/licenses/LICENSE-2.0'
nl|'\n'
comment|'#'
nl|'\n'
comment|'# Unless required by applicable law or agreed to in writing, software'
nl|'\n'
comment|'# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT'
nl|'\n'
comment|'# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the'
nl|'\n'
comment|'# License for the specific language governing permissions and limitations'
nl|'\n'
comment|'# under the License.'
nl|'\n'
nl|'\n'
name|'import'
name|'base64'
newline|'\n'
name|'from'
name|'collections'
name|'import'
name|'deque'
newline|'\n'
name|'import'
name|'sys'
newline|'\n'
name|'import'
name|'traceback'
newline|'\n'
nl|'\n'
name|'import'
name|'fixtures'
newline|'\n'
name|'import'
name|'mock'
newline|'\n'
name|'import'
name|'netaddr'
newline|'\n'
name|'from'
name|'oslo_log'
name|'import'
name|'log'
name|'as'
name|'logging'
newline|'\n'
name|'from'
name|'oslo_serialization'
name|'import'
name|'jsonutils'
newline|'\n'
name|'from'
name|'oslo_utils'
name|'import'
name|'importutils'
newline|'\n'
name|'from'
name|'oslo_utils'
name|'import'
name|'timeutils'
newline|'\n'
name|'import'
name|'six'
newline|'\n'
nl|'\n'
name|'from'
name|'nova'
op|'.'
name|'compute'
name|'import'
name|'manager'
newline|'\n'
name|'from'
name|'nova'
op|'.'
name|'console'
name|'import'
name|'type'
name|'as'
name|'ctype'
newline|'\n'
name|'from'
name|'nova'
name|'import'
name|'context'
newline|'\n'
name|'from'
name|'nova'
name|'import'
name|'exception'
newline|'\n'
name|'from'
name|'nova'
name|'import'
name|'objects'
newline|'\n'
name|'from'
name|'nova'
name|'import'
name|'test'
newline|'\n'
name|'from'
name|'nova'
op|'.'
name|'tests'
name|'import'
name|'fixtures'
name|'as'
name|'nova_fixtures'
newline|'\n'
name|'from'
name|'nova'
op|'.'
name|'tests'
op|'.'
name|'unit'
name|'import'
name|'fake_block_device'
newline|'\n'
name|'from'
name|'nova'
op|'.'
name|'tests'
op|'.'
name|'unit'
op|'.'
name|'image'
name|'import'
name|'fake'
name|'as'
name|'fake_image'
newline|'\n'
name|'from'
name|'nova'
op|'.'
name|'tests'
op|'.'
name|'unit'
name|'import'
name|'utils'
name|'as'
name|'test_utils'
newline|'\n'
name|'from'
name|'nova'
op|'.'
name|'tests'
op|'.'
name|'unit'
op|'.'
name|'virt'
op|'.'
name|'libvirt'
name|'import'
name|'fake_libvirt_utils'
newline|'\n'
name|'from'
name|'nova'
op|'.'
name|'virt'
name|'import'
name|'block_device'
name|'as'
name|'driver_block_device'
newline|'\n'
name|'from'
name|'nova'
op|'.'
name|'virt'
name|'import'
name|'event'
name|'as'
name|'virtevent'
newline|'\n'
name|'from'
name|'nova'
op|'.'
name|'virt'
name|'import'
name|'fake'
newline|'\n'
name|'from'
name|'nova'
op|'.'
name|'virt'
name|'import'
name|'hardware'
newline|'\n'
name|'from'
name|'nova'
op|'.'
name|'virt'
name|'import'
name|'libvirt'
newline|'\n'
name|'from'
name|'nova'
op|'.'
name|'virt'
op|'.'
name|'libvirt'
name|'import'
name|'imagebackend'
newline|'\n'
nl|'\n'
DECL|variable|LOG
name|'LOG'
op|'='
name|'logging'
op|'.'
name|'getLogger'
op|'('
name|'__name__'
op|')'
newline|'\n'
nl|'\n'
nl|'\n'
DECL|function|catch_notimplementederror
name|'def'
name|'catch_notimplementederror'
op|'('
name|'f'
op|')'
op|':'
newline|'\n'
indent|' '
string|'"""Decorator to simplify catching drivers raising NotImplementedError\n\n If a particular call makes a driver raise NotImplementedError, we\n log it so that we can extract this information afterwards as needed.\n """'
newline|'\n'
DECL|function|wrapped_func
name|'def'
name|'wrapped_func'
op|'('
name|'self'
op|','
op|'*'
name|'args'
op|','
op|'**'
name|'kwargs'
op|')'
op|':'
newline|'\n'
indent|' '
name|'try'
op|':'
newline|'\n'
indent|' '
name|'return'
name|'f'
op|'('
name|'self'
op|','
op|'*'
name|'args'
op|','
op|'**'
name|'kwargs'
op|')'
newline|'\n'
dedent|''
name|'except'
name|'NotImplementedError'
op|':'
newline|'\n'
indent|' '
name|'frame'
op|'='
name|'traceback'
op|'.'
name|'extract_tb'
op|'('
name|'sys'
op|'.'
name|'exc_info'
op|'('
op|')'
op|'['
number|'2'
op|']'
op|')'
op|'['
op|'-'
number|'1'
op|']'
newline|'\n'
name|'LOG'
op|'.'
name|'error'
op|'('
string|'"%(driver)s does not implement %(method)s "'
nl|'\n'
string|'"required for test %(test)s"'
op|'%'
nl|'\n'
op|'{'
string|"'driver'"
op|':'
name|'type'
op|'('
name|'self'
op|'.'
name|'connection'
op|')'
op|','
nl|'\n'
string|"'method'"
op|':'
name|'frame'
op|'['
number|'2'
op|']'
op|','
string|"'test'"
op|':'
name|'f'
op|'.'
name|'__name__'
op|'}'
op|')'
newline|'\n'
nl|'\n'
dedent|''
dedent|''
name|'wrapped_func'
op|'.'
name|'__name__'
op|'='
name|'f'
op|'.'
name|'__name__'
newline|'\n'
name|'wrapped_func'
op|'.'
name|'__doc__'
op|'='
name|'f'
op|'.'
name|'__doc__'
newline|'\n'
name|'return'
name|'wrapped_func'
newline|'\n'
nl|'\n'
nl|'\n'
DECL|class|_FakeDriverBackendTestCase
dedent|''
name|'class'
name|'_FakeDriverBackendTestCase'
op|'('
name|'object'
op|')'
op|':'
newline|'\n'
DECL|member|_setup_fakelibvirt
indent|' '
name|'def'
name|'_setup_fakelibvirt'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
comment|'# So that the _supports_direct_io does the test based'
nl|'\n'
comment|'# on the current working directory, instead of the'
nl|'\n'
comment|"# default instances_path which doesn't exist"
nl|'\n'
indent|' '
name|'self'
op|'.'
name|'flags'
op|'('
name|'instances_path'
op|'='
name|'self'
op|'.'
name|'useFixture'
op|'('
name|'fixtures'
op|'.'
name|'TempDir'
op|'('
op|')'
op|')'
op|'.'
name|'path'
op|')'
newline|'\n'
nl|'\n'
comment|'# Put fakelibvirt in place'
nl|'\n'
name|'if'
string|"'libvirt'"
name|'in'
name|'sys'
op|'.'
name|'modules'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'saved_libvirt'
op|'='
name|'sys'
op|'.'
name|'modules'
op|'['
string|"'libvirt'"
op|']'
newline|'\n'
dedent|''
name|'else'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'saved_libvirt'
op|'='
name|'None'
newline|'\n'
nl|'\n'
dedent|''
name|'import'
name|'nova'
op|'.'
name|'tests'
op|'.'
name|'unit'
op|'.'
name|'virt'
op|'.'
name|'libvirt'
op|'.'
name|'fake_imagebackend'
name|'as'
name|'fake_imagebackend'
newline|'\n'
name|'import'
name|'nova'
op|'.'
name|'tests'
op|'.'
name|'unit'
op|'.'
name|'virt'
op|'.'
name|'libvirt'
op|'.'
name|'fake_libvirt_utils'
name|'as'
name|'fake_libvirt_utils'
newline|'\n'
name|'import'
name|'nova'
op|'.'
name|'tests'
op|'.'
name|'unit'
op|'.'
name|'virt'
op|'.'
name|'libvirt'
op|'.'
name|'fakelibvirt'
name|'as'
name|'fakelibvirt'
newline|'\n'
nl|'\n'
name|'import'
name|'nova'
op|'.'
name|'tests'
op|'.'
name|'unit'
op|'.'
name|'virt'
op|'.'
name|'libvirt'
op|'.'
name|'fake_os_brick_connector'
name|'as'
name|'fake_os_brick_connector'
newline|'\n'
nl|'\n'
name|'sys'
op|'.'
name|'modules'
op|'['
string|"'libvirt'"
op|']'
op|'='
name|'fakelibvirt'
newline|'\n'
name|'import'
name|'nova'
op|'.'
name|'virt'
op|'.'
name|'libvirt'
op|'.'
name|'driver'
newline|'\n'
name|'import'
name|'nova'
op|'.'
name|'virt'
op|'.'
name|'libvirt'
op|'.'
name|'firewall'
newline|'\n'
name|'import'
name|'nova'
op|'.'
name|'virt'
op|'.'
name|'libvirt'
op|'.'
name|'host'
newline|'\n'
nl|'\n'
name|'self'
op|'.'
name|'useFixture'
op|'('
name|'fixtures'
op|'.'
name|'MonkeyPatch'
op|'('
nl|'\n'
string|"'nova.virt.libvirt.driver.imagebackend'"
op|','
nl|'\n'
name|'fake_imagebackend'
op|')'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'useFixture'
op|'('
name|'fixtures'
op|'.'
name|'MonkeyPatch'
op|'('
nl|'\n'
string|"'nova.virt.libvirt.driver.libvirt'"
op|','
nl|'\n'
name|'fakelibvirt'
op|')'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'useFixture'
op|'('
name|'fixtures'
op|'.'
name|'MonkeyPatch'
op|'('
nl|'\n'
string|"'nova.virt.libvirt.driver.libvirt_utils'"
op|','
nl|'\n'
name|'fake_libvirt_utils'
op|')'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'useFixture'
op|'('
name|'fixtures'
op|'.'
name|'MonkeyPatch'
op|'('
nl|'\n'
string|"'nova.virt.libvirt.host.libvirt'"
op|','
nl|'\n'
name|'fakelibvirt'
op|')'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'useFixture'
op|'('
name|'fixtures'
op|'.'
name|'MonkeyPatch'
op|'('
nl|'\n'
string|"'nova.virt.libvirt.imagebackend.libvirt_utils'"
op|','
nl|'\n'
name|'fake_libvirt_utils'
op|')'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'useFixture'
op|'('
name|'fixtures'
op|'.'
name|'MonkeyPatch'
op|'('
nl|'\n'
string|"'nova.virt.libvirt.firewall.libvirt'"
op|','
nl|'\n'
name|'fakelibvirt'
op|')'
op|')'
newline|'\n'
nl|'\n'
name|'self'
op|'.'
name|'useFixture'
op|'('
name|'fixtures'
op|'.'
name|'MonkeyPatch'
op|'('
nl|'\n'
string|"'nova.virt.libvirt.driver.connector'"
op|','
nl|'\n'
name|'fake_os_brick_connector'
op|')'
op|')'
newline|'\n'
nl|'\n'
name|'fakelibvirt'
op|'.'
name|'disable_event_thread'
op|'('
name|'self'
op|')'
newline|'\n'
nl|'\n'
name|'self'
op|'.'
name|'flags'
op|'('
name|'rescue_image_id'
op|'='
string|'"2"'
op|','
nl|'\n'
name|'rescue_kernel_id'
op|'='
string|'"3"'
op|','
nl|'\n'
name|'rescue_ramdisk_id'
op|'='
name|'None'
op|','
nl|'\n'
name|'snapshots_directory'
op|'='
string|"'./'"
op|','
nl|'\n'
name|'sysinfo_serial'
op|'='
string|"'none'"
op|','
nl|'\n'
name|'group'
op|'='
string|"'libvirt'"
op|')'
newline|'\n'
nl|'\n'
DECL|function|fake_extend
name|'def'
name|'fake_extend'
op|'('
name|'image'
op|','
name|'size'
op|')'
op|':'
newline|'\n'
indent|' '
name|'pass'
newline|'\n'
nl|'\n'
DECL|function|fake_migrateToURI
dedent|''
name|'def'
name|'fake_migrateToURI'
op|'('
op|'*'
name|'a'
op|')'
op|':'
newline|'\n'
indent|' '
name|'pass'
newline|'\n'
nl|'\n'
DECL|function|fake_make_drive
dedent|''
name|'def'
name|'fake_make_drive'
op|'('
name|'_self'
op|','
name|'_path'
op|')'
op|':'
newline|'\n'
indent|' '
name|'pass'
newline|'\n'
nl|'\n'
DECL|function|fake_get_instance_disk_info
dedent|''
name|'def'
name|'fake_get_instance_disk_info'
op|'('
name|'_self'
op|','
name|'instance'
op|','
name|'xml'
op|'='
name|'None'
op|','
nl|'\n'
name|'block_device_info'
op|'='
name|'None'
op|')'
op|':'
newline|'\n'
indent|' '
name|'return'
string|"'[]'"
newline|'\n'
nl|'\n'
DECL|function|fake_delete_instance_files
dedent|''
name|'def'
name|'fake_delete_instance_files'
op|'('
name|'_self'
op|','
name|'_instance'
op|')'
op|':'
newline|'\n'
indent|' '
name|'pass'
newline|'\n'
nl|'\n'
DECL|function|fake_wait
dedent|''
name|'def'
name|'fake_wait'
op|'('
op|')'
op|':'
newline|'\n'
indent|' '
name|'pass'
newline|'\n'
nl|'\n'
DECL|function|fake_detach_device_with_retry
dedent|''
name|'def'
name|'fake_detach_device_with_retry'
op|'('
name|'_self'
op|','
name|'get_device_conf_func'
op|','
name|'device'
op|','
nl|'\n'
name|'persistent'
op|','
name|'live'
op|','
nl|'\n'
name|'max_retry_count'
op|'='
number|'7'
op|','
nl|'\n'
name|'inc_sleep_time'
op|'='
number|'2'
op|','
nl|'\n'
name|'max_sleep_time'
op|'='
number|'30'
op|')'
op|':'
newline|'\n'
comment|'# Still calling detach, but instead of returning function'
nl|'\n'
comment|'# that actually checks if device is gone from XML, just continue'
nl|'\n'
comment|'# because XML never gets updated in these tests'
nl|'\n'
indent|' '
name|'_self'
op|'.'
name|'detach_device'
op|'('
name|'get_device_conf_func'
op|'('
name|'device'
op|')'
op|','
nl|'\n'
name|'persistent'
op|'='
name|'persistent'
op|','
nl|'\n'
name|'live'
op|'='
name|'live'
op|')'
newline|'\n'
name|'return'
name|'fake_wait'
newline|'\n'
nl|'\n'
dedent|''
name|'self'
op|'.'
name|'stubs'
op|'.'
name|'Set'
op|'('
name|'nova'
op|'.'
name|'virt'
op|'.'
name|'libvirt'
op|'.'
name|'driver'
op|'.'
name|'LibvirtDriver'
op|','
nl|'\n'
string|"'_get_instance_disk_info'"
op|','
nl|'\n'
name|'fake_get_instance_disk_info'
op|')'
newline|'\n'
nl|'\n'
name|'self'
op|'.'
name|'stubs'
op|'.'
name|'Set'
op|'('
name|'nova'
op|'.'
name|'virt'
op|'.'
name|'libvirt'
op|'.'
name|'driver'
op|'.'
name|'disk'
op|','
nl|'\n'
string|"'extend'"
op|','
name|'fake_extend'
op|')'
newline|'\n'
nl|'\n'
name|'self'
op|'.'
name|'stubs'
op|'.'
name|'Set'
op|'('
name|'nova'
op|'.'
name|'virt'
op|'.'
name|'libvirt'
op|'.'
name|'driver'
op|'.'
name|'LibvirtDriver'
op|','
nl|'\n'
string|"'delete_instance_files'"
op|','
nl|'\n'
name|'fake_delete_instance_files'
op|')'
newline|'\n'
nl|'\n'
name|'self'
op|'.'
name|'stubs'
op|'.'
name|'Set'
op|'('
name|'nova'
op|'.'
name|'virt'
op|'.'
name|'libvirt'
op|'.'
name|'guest'
op|'.'
name|'Guest'
op|','
nl|'\n'
string|"'detach_device_with_retry'"
op|','
nl|'\n'
name|'fake_detach_device_with_retry'
op|')'
newline|'\n'
nl|'\n'
comment|'# Like the existing fakelibvirt.migrateToURI, do nothing,'
nl|'\n'
comment|"# but don't fail for these tests."
nl|'\n'
name|'self'
op|'.'
name|'stubs'
op|'.'
name|'Set'
op|'('
name|'nova'
op|'.'
name|'virt'
op|'.'
name|'libvirt'
op|'.'
name|'driver'
op|'.'
name|'libvirt'
op|'.'
name|'Domain'
op|','
nl|'\n'
string|"'migrateToURI'"
op|','
name|'fake_migrateToURI'
op|')'
newline|'\n'
nl|'\n'
comment|"# We can't actually make a config drive v2 because ensure_tree has"
nl|'\n'
comment|'# been faked out'
nl|'\n'
name|'self'
op|'.'
name|'stubs'
op|'.'
name|'Set'
op|'('
name|'nova'
op|'.'
name|'virt'
op|'.'
name|'configdrive'
op|'.'
name|'ConfigDriveBuilder'
op|','
nl|'\n'
string|"'make_drive'"
op|','
name|'fake_make_drive'
op|')'
newline|'\n'
nl|'\n'
DECL|member|_teardown_fakelibvirt
dedent|''
name|'def'
name|'_teardown_fakelibvirt'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
comment|'# Restore libvirt'
nl|'\n'
indent|' '
name|'if'
name|'self'
op|'.'
name|'saved_libvirt'
op|':'
newline|'\n'
indent|' '
name|'sys'
op|'.'
name|'modules'
op|'['
string|"'libvirt'"
op|']'
op|'='
name|'self'
op|'.'
name|'saved_libvirt'
newline|'\n'
nl|'\n'
DECL|member|setUp
dedent|''
dedent|''
name|'def'
name|'setUp'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'super'
op|'('
name|'_FakeDriverBackendTestCase'
op|','
name|'self'
op|')'
op|'.'
name|'setUp'
op|'('
op|')'
newline|'\n'
comment|'# TODO(sdague): it would be nice to do this in a way that only'
nl|'\n'
comment|'# the relevant backends where replaced for tests, though this'
nl|'\n'
comment|'# should not harm anything by doing it for all backends'
nl|'\n'
name|'fake_image'
op|'.'
name|'stub_out_image_service'
op|'('
name|'self'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'_setup_fakelibvirt'
op|'('
op|')'
newline|'\n'
nl|'\n'
DECL|member|tearDown
dedent|''
name|'def'
name|'tearDown'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'fake_image'
op|'.'
name|'FakeImageService_reset'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'_teardown_fakelibvirt'
op|'('
op|')'
newline|'\n'
name|'super'
op|'('
name|'_FakeDriverBackendTestCase'
op|','
name|'self'
op|')'
op|'.'
name|'tearDown'
op|'('
op|')'
newline|'\n'
nl|'\n'
nl|'\n'
DECL|class|VirtDriverLoaderTestCase
dedent|''
dedent|''
name|'class'
name|'VirtDriverLoaderTestCase'
op|'('
name|'_FakeDriverBackendTestCase'
op|','
name|'test'
op|'.'
name|'TestCase'
op|')'
op|':'
newline|'\n'
indent|' '
string|'"""Test that ComputeManager can successfully load both\n old style and new style drivers and end up with the correct\n final class.\n """'
newline|'\n'
nl|'\n'
comment|'# if your driver supports being tested in a fake way, it can go here'
nl|'\n'
DECL|variable|new_drivers
name|'new_drivers'
op|'='
op|'{'
nl|'\n'
string|"'fake.FakeDriver'"
op|':'
string|"'FakeDriver'"
op|','
nl|'\n'
string|"'libvirt.LibvirtDriver'"
op|':'
string|"'LibvirtDriver'"
nl|'\n'
op|'}'
newline|'\n'
nl|'\n'
DECL|member|test_load_new_drivers
name|'def'
name|'test_load_new_drivers'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'for'
name|'cls'
op|','
name|'driver'
name|'in'
name|'six'
op|'.'
name|'iteritems'
op|'('
name|'self'
op|'.'
name|'new_drivers'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'flags'
op|'('
name|'compute_driver'
op|'='
name|'cls'
op|')'
newline|'\n'
comment|'# NOTE(sdague) the try block is to make it easier to debug a'
nl|'\n'
comment|'# failure by knowing which driver broke'
nl|'\n'
name|'try'
op|':'
newline|'\n'
indent|' '
name|'cm'
op|'='
name|'manager'
op|'.'
name|'ComputeManager'
op|'('
op|')'
newline|'\n'
dedent|''
name|'except'
name|'Exception'
name|'as'
name|'e'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'fail'
op|'('
string|'"Couldn\'t load driver %s - %s"'
op|'%'
op|'('
name|'cls'
op|','
name|'e'
op|')'
op|')'
newline|'\n'
nl|'\n'
dedent|''
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'cm'
op|'.'
name|'driver'
op|'.'
name|'__class__'
op|'.'
name|'__name__'
op|','
name|'driver'
op|','
nl|'\n'
string|'"Could\'t load driver %s"'
op|'%'
name|'cls'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_fail_to_load_new_drivers
dedent|''
dedent|''
name|'def'
name|'test_fail_to_load_new_drivers'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'flags'
op|'('
name|'compute_driver'
op|'='
string|"'nova.virt.amiga'"
op|')'
newline|'\n'
nl|'\n'
DECL|function|_fake_exit
name|'def'
name|'_fake_exit'
op|'('
name|'error'
op|')'
op|':'
newline|'\n'
indent|' '
name|'raise'
name|'test'
op|'.'
name|'TestingException'
op|'('
op|')'
newline|'\n'
nl|'\n'
dedent|''
name|'self'
op|'.'
name|'stubs'
op|'.'
name|'Set'
op|'('
name|'sys'
op|','
string|"'exit'"
op|','
name|'_fake_exit'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertRaises'
op|'('
name|'test'
op|'.'
name|'TestingException'
op|','
name|'manager'
op|'.'
name|'ComputeManager'
op|')'
newline|'\n'
nl|'\n'
nl|'\n'
DECL|class|_VirtDriverTestCase
dedent|''
dedent|''
name|'class'
name|'_VirtDriverTestCase'
op|'('
name|'_FakeDriverBackendTestCase'
op|')'
op|':'
newline|'\n'
DECL|member|setUp
indent|' '
name|'def'
name|'setUp'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'super'
op|'('
name|'_VirtDriverTestCase'
op|','
name|'self'
op|')'
op|'.'
name|'setUp'
op|'('
op|')'
newline|'\n'
nl|'\n'
name|'self'
op|'.'
name|'flags'
op|'('
name|'instances_path'
op|'='
name|'self'
op|'.'
name|'useFixture'
op|'('
name|'fixtures'
op|'.'
name|'TempDir'
op|'('
op|')'
op|')'
op|'.'
name|'path'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'='
name|'importutils'
op|'.'
name|'import_object'
op|'('
name|'self'
op|'.'
name|'driver_module'
op|','
nl|'\n'
name|'fake'
op|'.'
name|'FakeVirtAPI'
op|'('
op|')'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'ctxt'
op|'='
name|'test_utils'
op|'.'
name|'get_test_admin_context'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'image_service'
op|'='
name|'fake_image'
op|'.'
name|'FakeImageService'
op|'('
op|')'
newline|'\n'
comment|'# NOTE(dripton): resolve_driver_format does some file reading and'
nl|'\n'
comment|'# writing and chowning that complicate testing too much by requiring'
nl|'\n'
comment|'# using real directories with proper permissions. Just stub it out'
nl|'\n'
comment|'# here; we test it in test_imagebackend.py'
nl|'\n'
name|'self'
op|'.'
name|'stubs'
op|'.'
name|'Set'
op|'('
name|'imagebackend'
op|'.'
name|'Image'
op|','
string|"'resolve_driver_format'"
op|','
nl|'\n'
name|'imagebackend'
op|'.'
name|'Image'
op|'.'
name|'_get_driver_format'
op|')'
newline|'\n'
nl|'\n'
DECL|member|_get_running_instance
dedent|''
name|'def'
name|'_get_running_instance'
op|'('
name|'self'
op|','
name|'obj'
op|'='
name|'True'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance_ref'
op|'='
name|'test_utils'
op|'.'
name|'get_test_instance'
op|'('
name|'obj'
op|'='
name|'obj'
op|')'
newline|'\n'
name|'network_info'
op|'='
name|'test_utils'
op|'.'
name|'get_test_network_info'
op|'('
op|')'
newline|'\n'
name|'network_info'
op|'['
number|'0'
op|']'
op|'['
string|"'network'"
op|']'
op|'['
string|"'subnets'"
op|']'
op|'['
number|'0'
op|']'
op|'['
string|"'meta'"
op|']'
op|'['
string|"'dhcp_server'"
op|']'
op|'='
string|"'1.1.1.1'"
newline|'\n'
name|'image_meta'
op|'='
name|'test_utils'
op|'.'
name|'get_test_image_object'
op|'('
name|'None'
op|','
name|'instance_ref'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'spawn'
op|'('
name|'self'
op|'.'
name|'ctxt'
op|','
name|'instance_ref'
op|','
name|'image_meta'
op|','
nl|'\n'
op|'['
op|']'
op|','
string|"'herp'"
op|','
name|'network_info'
op|'='
name|'network_info'
op|')'
newline|'\n'
name|'return'
name|'instance_ref'
op|','
name|'network_info'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_init_host
name|'def'
name|'test_init_host'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'connection'
op|'.'
name|'init_host'
op|'('
string|"'myhostname'"
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_list_instances
name|'def'
name|'test_list_instances'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'connection'
op|'.'
name|'list_instances'
op|'('
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_list_instance_uuids
name|'def'
name|'test_list_instance_uuids'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'connection'
op|'.'
name|'list_instance_uuids'
op|'('
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_spawn
name|'def'
name|'test_spawn'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'domains'
op|'='
name|'self'
op|'.'
name|'connection'
op|'.'
name|'list_instances'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertIn'
op|'('
name|'instance_ref'
op|'['
string|"'name'"
op|']'
op|','
name|'domains'
op|')'
newline|'\n'
nl|'\n'
name|'num_instances'
op|'='
name|'self'
op|'.'
name|'connection'
op|'.'
name|'get_num_instances'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
number|'1'
op|','
name|'num_instances'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_snapshot_not_running
name|'def'
name|'test_snapshot_not_running'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance_ref'
op|'='
name|'test_utils'
op|'.'
name|'get_test_instance'
op|'('
op|')'
newline|'\n'
name|'img_ref'
op|'='
name|'self'
op|'.'
name|'image_service'
op|'.'
name|'create'
op|'('
name|'self'
op|'.'
name|'ctxt'
op|','
op|'{'
string|"'name'"
op|':'
string|"'snap-1'"
op|'}'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertRaises'
op|'('
name|'exception'
op|'.'
name|'InstanceNotRunning'
op|','
nl|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'snapshot'
op|','
nl|'\n'
name|'self'
op|'.'
name|'ctxt'
op|','
name|'instance_ref'
op|','
name|'img_ref'
op|'['
string|"'id'"
op|']'
op|','
nl|'\n'
name|'lambda'
op|'*'
name|'args'
op|','
op|'**'
name|'kwargs'
op|':'
name|'None'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_snapshot_running
name|'def'
name|'test_snapshot_running'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'img_ref'
op|'='
name|'self'
op|'.'
name|'image_service'
op|'.'
name|'create'
op|'('
name|'self'
op|'.'
name|'ctxt'
op|','
op|'{'
string|"'name'"
op|':'
string|"'snap-1'"
op|'}'
op|')'
newline|'\n'
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'snapshot'
op|'('
name|'self'
op|'.'
name|'ctxt'
op|','
name|'instance_ref'
op|','
name|'img_ref'
op|'['
string|"'id'"
op|']'
op|','
nl|'\n'
name|'lambda'
op|'*'
name|'args'
op|','
op|'**'
name|'kwargs'
op|':'
name|'None'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_post_interrupted_snapshot_cleanup
name|'def'
name|'test_post_interrupted_snapshot_cleanup'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'post_interrupted_snapshot_cleanup'
op|'('
name|'self'
op|'.'
name|'ctxt'
op|','
nl|'\n'
name|'instance_ref'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_reboot
name|'def'
name|'test_reboot'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'reboot_type'
op|'='
string|'"SOFT"'
newline|'\n'
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'reboot'
op|'('
name|'self'
op|'.'
name|'ctxt'
op|','
name|'instance_ref'
op|','
name|'network_info'
op|','
nl|'\n'
name|'reboot_type'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_get_host_ip_addr
name|'def'
name|'test_get_host_ip_addr'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'host_ip'
op|'='
name|'self'
op|'.'
name|'connection'
op|'.'
name|'get_host_ip_addr'
op|'('
op|')'
newline|'\n'
nl|'\n'
comment|"# Will raise an exception if it's not a valid IP at all"
nl|'\n'
name|'ip'
op|'='
name|'netaddr'
op|'.'
name|'IPAddress'
op|'('
name|'host_ip'
op|')'
newline|'\n'
nl|'\n'
comment|'# For now, assume IPv4.'
nl|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'ip'
op|'.'
name|'version'
op|','
number|'4'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_set_admin_password
name|'def'
name|'test_set_admin_password'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
name|'obj'
op|'='
name|'True'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'set_admin_password'
op|'('
name|'instance'
op|','
string|"'p4ssw0rd'"
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_inject_file
name|'def'
name|'test_inject_file'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'inject_file'
op|'('
name|'instance_ref'
op|','
nl|'\n'
name|'base64'
op|'.'
name|'b64encode'
op|'('
string|"'/testfile'"
op|')'
op|','
nl|'\n'
name|'base64'
op|'.'
name|'b64encode'
op|'('
string|"'testcontents'"
op|')'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_resume_state_on_host_boot
name|'def'
name|'test_resume_state_on_host_boot'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'resume_state_on_host_boot'
op|'('
name|'self'
op|'.'
name|'ctxt'
op|','
name|'instance_ref'
op|','
nl|'\n'
name|'network_info'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_rescue
name|'def'
name|'test_rescue'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'image_meta'
op|'='
name|'objects'
op|'.'
name|'ImageMeta'
op|'.'
name|'from_dict'
op|'('
op|'{'
op|'}'
op|')'
newline|'\n'
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'rescue'
op|'('
name|'self'
op|'.'
name|'ctxt'
op|','
name|'instance_ref'
op|','
name|'network_info'
op|','
nl|'\n'
name|'image_meta'
op|','
string|"''"
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_unrescue_unrescued_instance
name|'def'
name|'test_unrescue_unrescued_instance'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'unrescue'
op|'('
name|'instance_ref'
op|','
name|'network_info'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_unrescue_rescued_instance
name|'def'
name|'test_unrescue_rescued_instance'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'image_meta'
op|'='
name|'objects'
op|'.'
name|'ImageMeta'
op|'.'
name|'from_dict'
op|'('
op|'{'
op|'}'
op|')'
newline|'\n'
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'rescue'
op|'('
name|'self'
op|'.'
name|'ctxt'
op|','
name|'instance_ref'
op|','
name|'network_info'
op|','
nl|'\n'
name|'image_meta'
op|','
string|"''"
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'unrescue'
op|'('
name|'instance_ref'
op|','
name|'network_info'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_poll_rebooting_instances
name|'def'
name|'test_poll_rebooting_instances'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instances'
op|'='
op|'['
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
op|']'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'poll_rebooting_instances'
op|'('
number|'10'
op|','
name|'instances'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_migrate_disk_and_power_off
name|'def'
name|'test_migrate_disk_and_power_off'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'flavor_ref'
op|'='
name|'test_utils'
op|'.'
name|'get_test_flavor'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'migrate_disk_and_power_off'
op|'('
nl|'\n'
name|'self'
op|'.'
name|'ctxt'
op|','
name|'instance_ref'
op|','
string|"'dest_host'"
op|','
name|'flavor_ref'
op|','
nl|'\n'
name|'network_info'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_power_off
name|'def'
name|'test_power_off'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'power_off'
op|'('
name|'instance_ref'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_power_on_running
name|'def'
name|'test_power_on_running'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'power_on'
op|'('
name|'self'
op|'.'
name|'ctxt'
op|','
name|'instance_ref'
op|','
nl|'\n'
name|'network_info'
op|','
name|'None'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_power_on_powered_off
name|'def'
name|'test_power_on_powered_off'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'power_off'
op|'('
name|'instance_ref'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'power_on'
op|'('
name|'self'
op|'.'
name|'ctxt'
op|','
name|'instance_ref'
op|','
name|'network_info'
op|','
name|'None'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_trigger_crash_dump
name|'def'
name|'test_trigger_crash_dump'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'trigger_crash_dump'
op|'('
name|'instance_ref'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_soft_delete
name|'def'
name|'test_soft_delete'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
name|'obj'
op|'='
name|'True'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'soft_delete'
op|'('
name|'instance_ref'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_restore_running
name|'def'
name|'test_restore_running'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'restore'
op|'('
name|'instance_ref'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_restore_soft_deleted
name|'def'
name|'test_restore_soft_deleted'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'soft_delete'
op|'('
name|'instance_ref'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'restore'
op|'('
name|'instance_ref'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_pause
name|'def'
name|'test_pause'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'pause'
op|'('
name|'instance_ref'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_unpause_unpaused_instance
name|'def'
name|'test_unpause_unpaused_instance'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'unpause'
op|'('
name|'instance_ref'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_unpause_paused_instance
name|'def'
name|'test_unpause_paused_instance'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'pause'
op|'('
name|'instance_ref'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'unpause'
op|'('
name|'instance_ref'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_suspend
name|'def'
name|'test_suspend'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'suspend'
op|'('
name|'self'
op|'.'
name|'ctxt'
op|','
name|'instance_ref'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_resume_unsuspended_instance
name|'def'
name|'test_resume_unsuspended_instance'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'resume'
op|'('
name|'self'
op|'.'
name|'ctxt'
op|','
name|'instance_ref'
op|','
name|'network_info'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_resume_suspended_instance
name|'def'
name|'test_resume_suspended_instance'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'suspend'
op|'('
name|'self'
op|'.'
name|'ctxt'
op|','
name|'instance_ref'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'resume'
op|'('
name|'self'
op|'.'
name|'ctxt'
op|','
name|'instance_ref'
op|','
name|'network_info'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_destroy_instance_nonexistent
name|'def'
name|'test_destroy_instance_nonexistent'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'fake_instance'
op|'='
name|'test_utils'
op|'.'
name|'get_test_instance'
op|'('
name|'obj'
op|'='
name|'True'
op|')'
newline|'\n'
name|'network_info'
op|'='
name|'test_utils'
op|'.'
name|'get_test_network_info'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'destroy'
op|'('
name|'self'
op|'.'
name|'ctxt'
op|','
name|'fake_instance'
op|','
name|'network_info'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_destroy_instance
name|'def'
name|'test_destroy_instance'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertIn'
op|'('
name|'instance_ref'
op|'['
string|"'name'"
op|']'
op|','
nl|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'list_instances'
op|'('
op|')'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'destroy'
op|'('
name|'self'
op|'.'
name|'ctxt'
op|','
name|'instance_ref'
op|','
name|'network_info'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertNotIn'
op|'('
name|'instance_ref'
op|'['
string|"'name'"
op|']'
op|','
nl|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'list_instances'
op|'('
op|')'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_get_volume_connector
name|'def'
name|'test_get_volume_connector'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'result'
op|'='
name|'self'
op|'.'
name|'connection'
op|'.'
name|'get_volume_connector'
op|'('
op|'{'
string|"'id'"
op|':'
string|"'fake'"
op|'}'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertIn'
op|'('
string|"'ip'"
op|','
name|'result'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertIn'
op|'('
string|"'initiator'"
op|','
name|'result'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertIn'
op|'('
string|"'host'"
op|','
name|'result'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_get_volume_connector_storage_ip
name|'def'
name|'test_get_volume_connector_storage_ip'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'ip'
op|'='
string|"'my_ip'"
newline|'\n'
name|'storage_ip'
op|'='
string|"'storage_ip'"
newline|'\n'
name|'self'
op|'.'
name|'flags'
op|'('
name|'my_block_storage_ip'
op|'='
name|'storage_ip'
op|','
name|'my_ip'
op|'='
name|'ip'
op|')'
newline|'\n'
name|'result'
op|'='
name|'self'
op|'.'
name|'connection'
op|'.'
name|'get_volume_connector'
op|'('
op|'{'
string|"'id'"
op|':'
string|"'fake'"
op|'}'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertIn'
op|'('
string|"'ip'"
op|','
name|'result'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertIn'
op|'('
string|"'initiator'"
op|','
name|'result'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertIn'
op|'('
string|"'host'"
op|','
name|'result'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'storage_ip'
op|','
name|'result'
op|'['
string|"'ip'"
op|']'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_attach_detach_volume
name|'def'
name|'test_attach_detach_volume'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'connection_info'
op|'='
op|'{'
nl|'\n'
string|'"driver_volume_type"'
op|':'
string|'"fake"'
op|','
nl|'\n'
string|'"serial"'
op|':'
string|'"fake_serial"'
op|','
nl|'\n'
string|'"data"'
op|':'
op|'{'
op|'}'
nl|'\n'
op|'}'
newline|'\n'
name|'self'
op|'.'
name|'assertIsNone'
op|'('
nl|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'attach_volume'
op|'('
name|'None'
op|','
name|'connection_info'
op|','
name|'instance_ref'
op|','
nl|'\n'
string|"'/dev/sda'"
op|')'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertIsNone'
op|'('
nl|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'detach_volume'
op|'('
name|'connection_info'
op|','
name|'instance_ref'
op|','
nl|'\n'
string|"'/dev/sda'"
op|')'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_swap_volume
name|'def'
name|'test_swap_volume'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertIsNone'
op|'('
nl|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'attach_volume'
op|'('
name|'None'
op|','
op|'{'
string|"'driver_volume_type'"
op|':'
string|"'fake'"
op|','
nl|'\n'
string|"'data'"
op|':'
op|'{'
op|'}'
op|'}'
op|','
nl|'\n'
name|'instance_ref'
op|','
nl|'\n'
string|"'/dev/sda'"
op|')'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertIsNone'
op|'('
nl|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'swap_volume'
op|'('
op|'{'
string|"'driver_volume_type'"
op|':'
string|"'fake'"
op|','
nl|'\n'
string|"'data'"
op|':'
op|'{'
op|'}'
op|'}'
op|','
nl|'\n'
op|'{'
string|"'driver_volume_type'"
op|':'
string|"'fake'"
op|','
nl|'\n'
string|"'data'"
op|':'
op|'{'
op|'}'
op|'}'
op|','
nl|'\n'
name|'instance_ref'
op|','
nl|'\n'
string|"'/dev/sda'"
op|','
number|'2'
op|')'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_attach_detach_different_power_states
name|'def'
name|'test_attach_detach_different_power_states'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'connection_info'
op|'='
op|'{'
nl|'\n'
string|'"driver_volume_type"'
op|':'
string|'"fake"'
op|','
nl|'\n'
string|'"serial"'
op|':'
string|'"fake_serial"'
op|','
nl|'\n'
string|'"data"'
op|':'
op|'{'
op|'}'
nl|'\n'
op|'}'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'power_off'
op|'('
name|'instance_ref'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'attach_volume'
op|'('
name|'None'
op|','
name|'connection_info'
op|','
name|'instance_ref'
op|','
nl|'\n'
string|"'/dev/sda'"
op|')'
newline|'\n'
nl|'\n'
name|'bdm'
op|'='
op|'{'
nl|'\n'
string|"'root_device_name'"
op|':'
name|'None'
op|','
nl|'\n'
string|"'swap'"
op|':'
name|'None'
op|','
nl|'\n'
string|"'ephemerals'"
op|':'
op|'['
op|']'
op|','
nl|'\n'
string|"'block_device_mapping'"
op|':'
name|'driver_block_device'
op|'.'
name|'convert_volumes'
op|'('
op|'['
nl|'\n'
name|'objects'
op|'.'
name|'BlockDeviceMapping'
op|'('
nl|'\n'
name|'self'
op|'.'
name|'ctxt'
op|','
nl|'\n'
op|'**'
name|'fake_block_device'
op|'.'
name|'FakeDbBlockDeviceDict'
op|'('
nl|'\n'
op|'{'
string|"'id'"
op|':'
number|'1'
op|','
string|"'instance_uuid'"
op|':'
name|'instance_ref'
op|'['
string|"'uuid'"
op|']'
op|','
nl|'\n'
string|"'device_name'"
op|':'
string|"'/dev/sda'"
op|','
nl|'\n'
string|"'source_type'"
op|':'
string|"'volume'"
op|','
nl|'\n'
string|"'destination_type'"
op|':'
string|"'volume'"
op|','
nl|'\n'
string|"'delete_on_termination'"
op|':'
name|'False'
op|','
nl|'\n'
string|"'snapshot_id'"
op|':'
name|'None'
op|','
nl|'\n'
string|"'volume_id'"
op|':'
string|"'abcdedf'"
op|','
nl|'\n'
string|"'volume_size'"
op|':'
name|'None'
op|','
nl|'\n'
string|"'no_device'"
op|':'
name|'None'
nl|'\n'
op|'}'
op|')'
op|')'
op|','
nl|'\n'
op|']'
op|')'
nl|'\n'
op|'}'
newline|'\n'
name|'bdm'
op|'['
string|"'block_device_mapping'"
op|']'
op|'['
number|'0'
op|']'
op|'['
string|"'connection_info'"
op|']'
op|'='
op|'('
nl|'\n'
op|'{'
string|"'driver_volume_type'"
op|':'
string|"'fake'"
op|','
string|"'data'"
op|':'
op|'{'
op|'}'
op|'}'
op|')'
newline|'\n'
name|'with'
name|'mock'
op|'.'
name|'patch'
op|'.'
name|'object'
op|'('
nl|'\n'
name|'driver_block_device'
op|'.'
name|'DriverVolumeBlockDevice'
op|','
string|"'save'"
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'connection'
op|'.'
name|'power_on'
op|'('
nl|'\n'
name|'self'
op|'.'
name|'ctxt'
op|','
name|'instance_ref'
op|','
name|'network_info'
op|','
name|'bdm'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'detach_volume'
op|'('
name|'connection_info'
op|','
nl|'\n'
name|'instance_ref'
op|','
nl|'\n'
string|"'/dev/sda'"
op|')'
newline|'\n'
nl|'\n'
dedent|''
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_get_info
name|'def'
name|'test_get_info'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'info'
op|'='
name|'self'
op|'.'
name|'connection'
op|'.'
name|'get_info'
op|'('
name|'instance_ref'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertIsInstance'
op|'('
name|'info'
op|','
name|'hardware'
op|'.'
name|'InstanceInfo'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_get_info_for_unknown_instance
name|'def'
name|'test_get_info_for_unknown_instance'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'fake_instance'
op|'='
name|'test_utils'
op|'.'
name|'get_test_instance'
op|'('
name|'obj'
op|'='
name|'True'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertRaises'
op|'('
name|'exception'
op|'.'
name|'NotFound'
op|','
nl|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'get_info'
op|','
nl|'\n'
name|'fake_instance'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_get_diagnostics
name|'def'
name|'test_get_diagnostics'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
name|'obj'
op|'='
name|'True'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'get_diagnostics'
op|'('
name|'instance_ref'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_get_instance_diagnostics
name|'def'
name|'test_get_instance_diagnostics'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
name|'obj'
op|'='
name|'True'
op|')'
newline|'\n'
name|'instance_ref'
op|'['
string|"'launched_at'"
op|']'
op|'='
name|'timeutils'
op|'.'
name|'utcnow'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'get_instance_diagnostics'
op|'('
name|'instance_ref'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_block_stats
name|'def'
name|'test_block_stats'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'stats'
op|'='
name|'self'
op|'.'
name|'connection'
op|'.'
name|'block_stats'
op|'('
name|'instance_ref'
op|','
string|"'someid'"
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'len'
op|'('
name|'stats'
op|')'
op|','
number|'5'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_get_console_output
name|'def'
name|'test_get_console_output'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'fake_libvirt_utils'
op|'.'
name|'files'
op|'['
string|"'dummy.log'"
op|']'
op|'='
string|"''"
newline|'\n'
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'console_output'
op|'='
name|'self'
op|'.'
name|'connection'
op|'.'
name|'get_console_output'
op|'('
name|'self'
op|'.'
name|'ctxt'
op|','
nl|'\n'
name|'instance_ref'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertIsInstance'
op|'('
name|'console_output'
op|','
name|'six'
op|'.'
name|'string_types'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_get_vnc_console
name|'def'
name|'test_get_vnc_console'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
name|'obj'
op|'='
name|'True'
op|')'
newline|'\n'
name|'vnc_console'
op|'='
name|'self'
op|'.'
name|'connection'
op|'.'
name|'get_vnc_console'
op|'('
name|'self'
op|'.'
name|'ctxt'
op|','
name|'instance'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertIsInstance'
op|'('
name|'vnc_console'
op|','
name|'ctype'
op|'.'
name|'ConsoleVNC'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_get_spice_console
name|'def'
name|'test_get_spice_console'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'spice_console'
op|'='
name|'self'
op|'.'
name|'connection'
op|'.'
name|'get_spice_console'
op|'('
name|'self'
op|'.'
name|'ctxt'
op|','
nl|'\n'
name|'instance_ref'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertIsInstance'
op|'('
name|'spice_console'
op|','
name|'ctype'
op|'.'
name|'ConsoleSpice'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_get_rdp_console
name|'def'
name|'test_get_rdp_console'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'rdp_console'
op|'='
name|'self'
op|'.'
name|'connection'
op|'.'
name|'get_rdp_console'
op|'('
name|'self'
op|'.'
name|'ctxt'
op|','
name|'instance_ref'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertIsInstance'
op|'('
name|'rdp_console'
op|','
name|'ctype'
op|'.'
name|'ConsoleRDP'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_get_serial_console
name|'def'
name|'test_get_serial_console'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'serial_console'
op|'='
name|'self'
op|'.'
name|'connection'
op|'.'
name|'get_serial_console'
op|'('
name|'self'
op|'.'
name|'ctxt'
op|','
nl|'\n'
name|'instance_ref'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertIsInstance'
op|'('
name|'serial_console'
op|','
name|'ctype'
op|'.'
name|'ConsoleSerial'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_get_mks_console
name|'def'
name|'test_get_mks_console'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'mks_console'
op|'='
name|'self'
op|'.'
name|'connection'
op|'.'
name|'get_mks_console'
op|'('
name|'self'
op|'.'
name|'ctxt'
op|','
nl|'\n'
name|'instance_ref'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertIsInstance'
op|'('
name|'mks_console'
op|','
name|'ctype'
op|'.'
name|'ConsoleMKS'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_get_console_pool_info
name|'def'
name|'test_get_console_pool_info'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'console_pool'
op|'='
name|'self'
op|'.'
name|'connection'
op|'.'
name|'get_console_pool_info'
op|'('
name|'instance_ref'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertIn'
op|'('
string|"'address'"
op|','
name|'console_pool'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertIn'
op|'('
string|"'username'"
op|','
name|'console_pool'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertIn'
op|'('
string|"'password'"
op|','
name|'console_pool'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_refresh_security_group_rules
name|'def'
name|'test_refresh_security_group_rules'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
comment|'# FIXME: Create security group and add the instance to it'
nl|'\n'
indent|' '
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'refresh_security_group_rules'
op|'('
number|'1'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_refresh_instance_security_rules
name|'def'
name|'test_refresh_instance_security_rules'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
comment|'# FIXME: Create security group and add the instance to it'
nl|'\n'
indent|' '
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'refresh_instance_security_rules'
op|'('
name|'instance_ref'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_ensure_filtering_for_instance
name|'def'
name|'test_ensure_filtering_for_instance'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance'
op|'='
name|'test_utils'
op|'.'
name|'get_test_instance'
op|'('
name|'obj'
op|'='
name|'True'
op|')'
newline|'\n'
name|'network_info'
op|'='
name|'test_utils'
op|'.'
name|'get_test_network_info'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'ensure_filtering_rules_for_instance'
op|'('
name|'instance'
op|','
nl|'\n'
name|'network_info'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_unfilter_instance
name|'def'
name|'test_unfilter_instance'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance_ref'
op|'='
name|'test_utils'
op|'.'
name|'get_test_instance'
op|'('
op|')'
newline|'\n'
name|'network_info'
op|'='
name|'test_utils'
op|'.'
name|'get_test_network_info'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'unfilter_instance'
op|'('
name|'instance_ref'
op|','
name|'network_info'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_live_migration
dedent|''
name|'def'
name|'test_live_migration'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'fake_context'
op|'='
name|'context'
op|'.'
name|'RequestContext'
op|'('
string|"'fake'"
op|','
string|"'fake'"
op|')'
newline|'\n'
name|'migration'
op|'='
name|'objects'
op|'.'
name|'Migration'
op|'('
name|'context'
op|'='
name|'fake_context'
op|','
name|'id'
op|'='
number|'1'
op|')'
newline|'\n'
name|'migrate_data'
op|'='
name|'objects'
op|'.'
name|'LibvirtLiveMigrateData'
op|'('
nl|'\n'
name|'migration'
op|'='
name|'migration'
op|','
name|'bdms'
op|'='
op|'['
op|']'
op|','
name|'block_migration'
op|'='
name|'False'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'live_migration'
op|'('
name|'self'
op|'.'
name|'ctxt'
op|','
name|'instance_ref'
op|','
string|"'otherhost'"
op|','
nl|'\n'
name|'lambda'
op|'*'
name|'a'
op|':'
name|'None'
op|','
name|'lambda'
op|'*'
name|'a'
op|':'
name|'None'
op|','
nl|'\n'
name|'migrate_data'
op|'='
name|'migrate_data'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_live_migration_force_complete
name|'def'
name|'test_live_migration_force_complete'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'active_migrations'
op|'['
name|'instance_ref'
op|'.'
name|'uuid'
op|']'
op|'='
name|'deque'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'live_migration_force_complete'
op|'('
name|'instance_ref'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_live_migration_abort
name|'def'
name|'test_live_migration_abort'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'live_migration_abort'
op|'('
name|'instance_ref'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|_check_available_resource_fields
name|'def'
name|'_check_available_resource_fields'
op|'('
name|'self'
op|','
name|'host_status'
op|')'
op|':'
newline|'\n'
indent|' '
name|'keys'
op|'='
op|'['
string|"'vcpus'"
op|','
string|"'memory_mb'"
op|','
string|"'local_gb'"
op|','
string|"'vcpus_used'"
op|','
nl|'\n'
string|"'memory_mb_used'"
op|','
string|"'hypervisor_type'"
op|','
string|"'hypervisor_version'"
op|','
nl|'\n'
string|"'hypervisor_hostname'"
op|','
string|"'cpu_info'"
op|','
string|"'disk_available_least'"
op|','
nl|'\n'
string|"'supported_instances'"
op|']'
newline|'\n'
name|'for'
name|'key'
name|'in'
name|'keys'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'assertIn'
op|'('
name|'key'
op|','
name|'host_status'
op|')'
newline|'\n'
dedent|''
name|'self'
op|'.'
name|'assertIsInstance'
op|'('
name|'host_status'
op|'['
string|"'hypervisor_version'"
op|']'
op|','
name|'int'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_get_available_resource
name|'def'
name|'test_get_available_resource'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'available_resource'
op|'='
name|'self'
op|'.'
name|'connection'
op|'.'
name|'get_available_resource'
op|'('
nl|'\n'
string|"'myhostname'"
op|')'
newline|'\n'
name|'self'
op|'.'
name|'_check_available_resource_fields'
op|'('
name|'available_resource'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_get_available_nodes
name|'def'
name|'test_get_available_nodes'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'connection'
op|'.'
name|'get_available_nodes'
op|'('
name|'False'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|_check_host_cpu_status_fields
name|'def'
name|'_check_host_cpu_status_fields'
op|'('
name|'self'
op|','
name|'host_cpu_status'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'assertIn'
op|'('
string|"'kernel'"
op|','
name|'host_cpu_status'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertIn'
op|'('
string|"'idle'"
op|','
name|'host_cpu_status'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertIn'
op|'('
string|"'user'"
op|','
name|'host_cpu_status'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertIn'
op|'('
string|"'iowait'"
op|','
name|'host_cpu_status'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertIn'
op|'('
string|"'frequency'"
op|','
name|'host_cpu_status'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_get_host_cpu_stats
name|'def'
name|'test_get_host_cpu_stats'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'host_cpu_status'
op|'='
name|'self'
op|'.'
name|'connection'
op|'.'
name|'get_host_cpu_stats'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'_check_host_cpu_status_fields'
op|'('
name|'host_cpu_status'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_set_host_enabled
name|'def'
name|'test_set_host_enabled'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'connection'
op|'.'
name|'set_host_enabled'
op|'('
name|'True'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_get_host_uptime
name|'def'
name|'test_get_host_uptime'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'connection'
op|'.'
name|'get_host_uptime'
op|'('
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_host_power_action_reboot
name|'def'
name|'test_host_power_action_reboot'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'connection'
op|'.'
name|'host_power_action'
op|'('
string|"'reboot'"
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_host_power_action_shutdown
name|'def'
name|'test_host_power_action_shutdown'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'connection'
op|'.'
name|'host_power_action'
op|'('
string|"'shutdown'"
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_host_power_action_startup
name|'def'
name|'test_host_power_action_startup'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'connection'
op|'.'
name|'host_power_action'
op|'('
string|"'startup'"
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_add_to_aggregate
name|'def'
name|'test_add_to_aggregate'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'connection'
op|'.'
name|'add_to_aggregate'
op|'('
name|'self'
op|'.'
name|'ctxt'
op|','
string|"'aggregate'"
op|','
string|"'host'"
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_remove_from_aggregate
name|'def'
name|'test_remove_from_aggregate'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'connection'
op|'.'
name|'remove_from_aggregate'
op|'('
name|'self'
op|'.'
name|'ctxt'
op|','
string|"'aggregate'"
op|','
string|"'host'"
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_events
dedent|''
name|'def'
name|'test_events'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'got_events'
op|'='
op|'['
op|']'
newline|'\n'
nl|'\n'
DECL|function|handler
name|'def'
name|'handler'
op|'('
name|'event'
op|')'
op|':'
newline|'\n'
indent|' '
name|'got_events'
op|'.'
name|'append'
op|'('
name|'event'
op|')'
newline|'\n'
nl|'\n'
dedent|''
name|'self'
op|'.'
name|'connection'
op|'.'
name|'register_event_listener'
op|'('
name|'handler'
op|')'
newline|'\n'
nl|'\n'
name|'event1'
op|'='
name|'virtevent'
op|'.'
name|'LifecycleEvent'
op|'('
nl|'\n'
string|'"cef19ce0-0ca2-11df-855d-b19fbce37686"'
op|','
nl|'\n'
name|'virtevent'
op|'.'
name|'EVENT_LIFECYCLE_STARTED'
op|')'
newline|'\n'
name|'event2'
op|'='
name|'virtevent'
op|'.'
name|'LifecycleEvent'
op|'('
nl|'\n'
string|'"cef19ce0-0ca2-11df-855d-b19fbce37686"'
op|','
nl|'\n'
name|'virtevent'
op|'.'
name|'EVENT_LIFECYCLE_PAUSED'
op|')'
newline|'\n'
nl|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'emit_event'
op|'('
name|'event1'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'emit_event'
op|'('
name|'event2'
op|')'
newline|'\n'
name|'want_events'
op|'='
op|'['
name|'event1'
op|','
name|'event2'
op|']'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'want_events'
op|','
name|'got_events'
op|')'
newline|'\n'
nl|'\n'
name|'event3'
op|'='
name|'virtevent'
op|'.'
name|'LifecycleEvent'
op|'('
nl|'\n'
string|'"cef19ce0-0ca2-11df-855d-b19fbce37686"'
op|','
nl|'\n'
name|'virtevent'
op|'.'
name|'EVENT_LIFECYCLE_RESUMED'
op|')'
newline|'\n'
name|'event4'
op|'='
name|'virtevent'
op|'.'
name|'LifecycleEvent'
op|'('
nl|'\n'
string|'"cef19ce0-0ca2-11df-855d-b19fbce37686"'
op|','
nl|'\n'
name|'virtevent'
op|'.'
name|'EVENT_LIFECYCLE_STOPPED'
op|')'
newline|'\n'
nl|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'emit_event'
op|'('
name|'event3'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'emit_event'
op|'('
name|'event4'
op|')'
newline|'\n'
nl|'\n'
name|'want_events'
op|'='
op|'['
name|'event1'
op|','
name|'event2'
op|','
name|'event3'
op|','
name|'event4'
op|']'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'want_events'
op|','
name|'got_events'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_event_bad_object
dedent|''
name|'def'
name|'test_event_bad_object'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
comment|'# Passing in something which does not inherit'
nl|'\n'
comment|'# from virtevent.Event'
nl|'\n'
nl|'\n'
DECL|function|handler
indent|' '
name|'def'
name|'handler'
op|'('
name|'event'
op|')'
op|':'
newline|'\n'
indent|' '
name|'pass'
newline|'\n'
nl|'\n'
dedent|''
name|'self'
op|'.'
name|'connection'
op|'.'
name|'register_event_listener'
op|'('
name|'handler'
op|')'
newline|'\n'
nl|'\n'
name|'badevent'
op|'='
op|'{'
nl|'\n'
string|'"foo"'
op|':'
string|'"bar"'
nl|'\n'
op|'}'
newline|'\n'
nl|'\n'
name|'self'
op|'.'
name|'assertRaises'
op|'('
name|'ValueError'
op|','
nl|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'emit_event'
op|','
nl|'\n'
name|'badevent'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_event_bad_callback
dedent|''
name|'def'
name|'test_event_bad_callback'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
comment|'# Check that if a callback raises an exception,'
nl|'\n'
comment|'# it does not propagate back out of the'
nl|'\n'
comment|"# 'emit_event' call"
nl|'\n'
nl|'\n'
DECL|function|handler
indent|' '
name|'def'
name|'handler'
op|'('
name|'event'
op|')'
op|':'
newline|'\n'
indent|' '
name|'raise'
name|'Exception'
op|'('
string|'"Hit Me!"'
op|')'
newline|'\n'
nl|'\n'
dedent|''
name|'self'
op|'.'
name|'connection'
op|'.'
name|'register_event_listener'
op|'('
name|'handler'
op|')'
newline|'\n'
nl|'\n'
name|'event1'
op|'='
name|'virtevent'
op|'.'
name|'LifecycleEvent'
op|'('
nl|'\n'
string|'"cef19ce0-0ca2-11df-855d-b19fbce37686"'
op|','
nl|'\n'
name|'virtevent'
op|'.'
name|'EVENT_LIFECYCLE_STARTED'
op|')'
newline|'\n'
nl|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'emit_event'
op|'('
name|'event1'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_set_bootable
dedent|''
name|'def'
name|'test_set_bootable'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'assertRaises'
op|'('
name|'NotImplementedError'
op|','
name|'self'
op|'.'
name|'connection'
op|'.'
name|'set_bootable'
op|','
nl|'\n'
string|"'instance'"
op|','
name|'True'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_get_instance_disk_info
name|'def'
name|'test_get_instance_disk_info'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
comment|'# This should be implemented by any driver that supports live migrate.'
nl|'\n'
indent|' '
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'get_instance_disk_info'
op|'('
name|'instance_ref'
op|','
nl|'\n'
name|'block_device_info'
op|'='
op|'{'
op|'}'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
DECL|member|test_get_device_name_for_instance
name|'def'
name|'test_get_device_name_for_instance'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance'
op|','
name|'_'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'get_device_name_for_instance'
op|'('
nl|'\n'
name|'instance'
op|','
op|'['
op|']'
op|','
name|'mock'
op|'.'
name|'Mock'
op|'('
name|'spec'
op|'='
name|'objects'
op|'.'
name|'BlockDeviceMapping'
op|')'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_network_binding_host_id
dedent|''
name|'def'
name|'test_network_binding_host_id'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
comment|"# NOTE(jroll) self._get_running_instance calls spawn(), so we can't"
nl|'\n'
comment|'# use it to test this method. Make a simple object instead; we just'
nl|'\n'
comment|'# need instance.host.'
nl|'\n'
indent|' '
name|'instance'
op|'='
name|'objects'
op|'.'
name|'Instance'
op|'('
name|'self'
op|'.'
name|'ctxt'
op|','
name|'host'
op|'='
string|"'somehost'"
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'instance'
op|'.'
name|'host'
op|','
nl|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'network_binding_host_id'
op|'('
name|'self'
op|'.'
name|'ctxt'
op|','
name|'instance'
op|')'
op|')'
newline|'\n'
nl|'\n'
nl|'\n'
DECL|class|AbstractDriverTestCase
dedent|''
dedent|''
name|'class'
name|'AbstractDriverTestCase'
op|'('
name|'_VirtDriverTestCase'
op|','
name|'test'
op|'.'
name|'TestCase'
op|')'
op|':'
newline|'\n'
DECL|member|setUp
indent|' '
name|'def'
name|'setUp'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'driver_module'
op|'='
string|'"nova.virt.driver.ComputeDriver"'
newline|'\n'
name|'super'
op|'('
name|'AbstractDriverTestCase'
op|','
name|'self'
op|')'
op|'.'
name|'setUp'
op|'('
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_live_migration
dedent|''
name|'def'
name|'test_live_migration'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'skipTest'
op|'('
string|"'Live migration is not implemented in the base '"
nl|'\n'
string|"'virt driver.'"
op|')'
newline|'\n'
nl|'\n'
nl|'\n'
DECL|class|FakeConnectionTestCase
dedent|''
dedent|''
name|'class'
name|'FakeConnectionTestCase'
op|'('
name|'_VirtDriverTestCase'
op|','
name|'test'
op|'.'
name|'TestCase'
op|')'
op|':'
newline|'\n'
DECL|member|setUp
indent|' '
name|'def'
name|'setUp'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'driver_module'
op|'='
string|"'nova.virt.fake.FakeDriver'"
newline|'\n'
name|'fake'
op|'.'
name|'set_nodes'
op|'('
op|'['
string|"'myhostname'"
op|']'
op|')'
newline|'\n'
name|'super'
op|'('
name|'FakeConnectionTestCase'
op|','
name|'self'
op|')'
op|'.'
name|'setUp'
op|'('
op|')'
newline|'\n'
nl|'\n'
DECL|member|_check_available_resource_fields
dedent|''
name|'def'
name|'_check_available_resource_fields'
op|'('
name|'self'
op|','
name|'host_status'
op|')'
op|':'
newline|'\n'
indent|' '
name|'super'
op|'('
name|'FakeConnectionTestCase'
op|','
name|'self'
op|')'
op|'.'
name|'_check_available_resource_fields'
op|'('
nl|'\n'
name|'host_status'
op|')'
newline|'\n'
nl|'\n'
name|'hypervisor_type'
op|'='
name|'host_status'
op|'['
string|"'hypervisor_type'"
op|']'
newline|'\n'
name|'supported_instances'
op|'='
name|'host_status'
op|'['
string|"'supported_instances'"
op|']'
newline|'\n'
name|'try'
op|':'
newline|'\n'
comment|'# supported_instances could be JSON wrapped'
nl|'\n'
indent|' '
name|'supported_instances'
op|'='
name|'jsonutils'
op|'.'
name|'loads'
op|'('
name|'supported_instances'
op|')'
newline|'\n'
dedent|''
name|'except'
name|'TypeError'
op|':'
newline|'\n'
indent|' '
name|'pass'
newline|'\n'
dedent|''
name|'self'
op|'.'
name|'assertTrue'
op|'('
name|'any'
op|'('
name|'hypervisor_type'
name|'in'
name|'x'
name|'for'
name|'x'
name|'in'
name|'supported_instances'
op|')'
op|')'
newline|'\n'
nl|'\n'
nl|'\n'
DECL|class|LibvirtConnTestCase
dedent|''
dedent|''
name|'class'
name|'LibvirtConnTestCase'
op|'('
name|'_VirtDriverTestCase'
op|','
name|'test'
op|'.'
name|'TestCase'
op|')'
op|':'
newline|'\n'
nl|'\n'
DECL|variable|REQUIRES_LOCKING
indent|' '
name|'REQUIRES_LOCKING'
op|'='
name|'True'
newline|'\n'
nl|'\n'
DECL|member|setUp
name|'def'
name|'setUp'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
comment|'# Point _VirtDriverTestCase at the right module'
nl|'\n'
indent|' '
name|'self'
op|'.'
name|'driver_module'
op|'='
string|"'nova.virt.libvirt.LibvirtDriver'"
newline|'\n'
name|'super'
op|'('
name|'LibvirtConnTestCase'
op|','
name|'self'
op|')'
op|'.'
name|'setUp'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'stubs'
op|'.'
name|'Set'
op|'('
name|'self'
op|'.'
name|'connection'
op|','
nl|'\n'
string|"'_set_host_enabled'"
op|','
name|'mock'
op|'.'
name|'MagicMock'
op|'('
op|')'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'useFixture'
op|'('
name|'fixtures'
op|'.'
name|'MonkeyPatch'
op|'('
nl|'\n'
string|"'nova.context.get_admin_context'"
op|','
nl|'\n'
name|'self'
op|'.'
name|'_fake_admin_context'
op|')'
op|')'
newline|'\n'
comment|'# This is needed for the live migration tests which spawn off the'
nl|'\n'
comment|'# operation for monitoring.'
nl|'\n'
name|'self'
op|'.'
name|'useFixture'
op|'('
name|'nova_fixtures'
op|'.'
name|'SpawnIsSynchronousFixture'
op|'('
op|')'
op|')'
newline|'\n'
nl|'\n'
DECL|member|_fake_admin_context
dedent|''
name|'def'
name|'_fake_admin_context'
op|'('
name|'self'
op|','
op|'*'
name|'args'
op|','
op|'**'
name|'kwargs'
op|')'
op|':'
newline|'\n'
indent|' '
name|'return'
name|'self'
op|'.'
name|'ctxt'
newline|'\n'
nl|'\n'
DECL|member|test_force_hard_reboot
dedent|''
name|'def'
name|'test_force_hard_reboot'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'flags'
op|'('
name|'wait_soft_reboot_seconds'
op|'='
number|'0'
op|','
name|'group'
op|'='
string|"'libvirt'"
op|')'
newline|'\n'
name|'self'
op|'.'
name|'test_reboot'
op|'('
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_migrate_disk_and_power_off
dedent|''
name|'def'
name|'test_migrate_disk_and_power_off'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
comment|'# there is lack of fake stuff to execute this method. so pass.'
nl|'\n'
indent|' '
name|'self'
op|'.'
name|'skipTest'
op|'('
string|'"Test nothing, but this method"'
nl|'\n'
string|'" needed to override superclass."'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_internal_set_host_enabled
dedent|''
name|'def'
name|'test_internal_set_host_enabled'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'mox'
op|'.'
name|'UnsetStubs'
op|'('
op|')'
newline|'\n'
name|'service_mock'
op|'='
name|'mock'
op|'.'
name|'MagicMock'
op|'('
op|')'
newline|'\n'
nl|'\n'
comment|'# Previous status of the service: disabled: False'
nl|'\n'
name|'service_mock'
op|'.'
name|'configure_mock'
op|'('
name|'disabled_reason'
op|'='
string|"'None'"
op|','
nl|'\n'
name|'disabled'
op|'='
name|'False'
op|')'
newline|'\n'
name|'with'
name|'mock'
op|'.'
name|'patch'
op|'.'
name|'object'
op|'('
name|'objects'
op|'.'
name|'Service'
op|','
string|'"get_by_compute_host"'
op|','
nl|'\n'
name|'return_value'
op|'='
name|'service_mock'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'connection'
op|'.'
name|'_set_host_enabled'
op|'('
name|'False'
op|','
string|"'ERROR!'"
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertTrue'
op|'('
name|'service_mock'
op|'.'
name|'disabled'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'service_mock'
op|'.'
name|'disabled_reason'
op|','
string|"'AUTO: ERROR!'"
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_set_host_enabled_when_auto_disabled
dedent|''
dedent|''
name|'def'
name|'test_set_host_enabled_when_auto_disabled'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'mox'
op|'.'
name|'UnsetStubs'
op|'('
op|')'
newline|'\n'
name|'service_mock'
op|'='
name|'mock'
op|'.'
name|'MagicMock'
op|'('
op|')'
newline|'\n'
nl|'\n'
comment|"# Previous status of the service: disabled: True, 'AUTO: ERROR'"
nl|'\n'
name|'service_mock'
op|'.'
name|'configure_mock'
op|'('
name|'disabled_reason'
op|'='
string|"'AUTO: ERROR'"
op|','
nl|'\n'
name|'disabled'
op|'='
name|'True'
op|')'
newline|'\n'
name|'with'
name|'mock'
op|'.'
name|'patch'
op|'.'
name|'object'
op|'('
name|'objects'
op|'.'
name|'Service'
op|','
string|'"get_by_compute_host"'
op|','
nl|'\n'
name|'return_value'
op|'='
name|'service_mock'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'connection'
op|'.'
name|'_set_host_enabled'
op|'('
name|'True'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertFalse'
op|'('
name|'service_mock'
op|'.'
name|'disabled'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertIsNone'
op|'('
name|'service_mock'
op|'.'
name|'disabled_reason'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_set_host_enabled_when_manually_disabled
dedent|''
dedent|''
name|'def'
name|'test_set_host_enabled_when_manually_disabled'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'mox'
op|'.'
name|'UnsetStubs'
op|'('
op|')'
newline|'\n'
name|'service_mock'
op|'='
name|'mock'
op|'.'
name|'MagicMock'
op|'('
op|')'
newline|'\n'
nl|'\n'
comment|"# Previous status of the service: disabled: True, 'Manually disabled'"
nl|'\n'
name|'service_mock'
op|'.'
name|'configure_mock'
op|'('
name|'disabled_reason'
op|'='
string|"'Manually disabled'"
op|','
nl|'\n'
name|'disabled'
op|'='
name|'True'
op|')'
newline|'\n'
name|'with'
name|'mock'
op|'.'
name|'patch'
op|'.'
name|'object'
op|'('
name|'objects'
op|'.'
name|'Service'
op|','
string|'"get_by_compute_host"'
op|','
nl|'\n'
name|'return_value'
op|'='
name|'service_mock'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'connection'
op|'.'
name|'_set_host_enabled'
op|'('
name|'True'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertTrue'
op|'('
name|'service_mock'
op|'.'
name|'disabled'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'service_mock'
op|'.'
name|'disabled_reason'
op|','
string|"'Manually disabled'"
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_set_host_enabled_dont_override_manually_disabled
dedent|''
dedent|''
name|'def'
name|'test_set_host_enabled_dont_override_manually_disabled'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'mox'
op|'.'
name|'UnsetStubs'
op|'('
op|')'
newline|'\n'
name|'service_mock'
op|'='
name|'mock'
op|'.'
name|'MagicMock'
op|'('
op|')'
newline|'\n'
nl|'\n'
comment|"# Previous status of the service: disabled: True, 'Manually disabled'"
nl|'\n'
name|'service_mock'
op|'.'
name|'configure_mock'
op|'('
name|'disabled_reason'
op|'='
string|"'Manually disabled'"
op|','
nl|'\n'
name|'disabled'
op|'='
name|'True'
op|')'
newline|'\n'
name|'with'
name|'mock'
op|'.'
name|'patch'
op|'.'
name|'object'
op|'('
name|'objects'
op|'.'
name|'Service'
op|','
string|'"get_by_compute_host"'
op|','
nl|'\n'
name|'return_value'
op|'='
name|'service_mock'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'connection'
op|'.'
name|'_set_host_enabled'
op|'('
name|'False'
op|','
string|"'ERROR!'"
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertTrue'
op|'('
name|'service_mock'
op|'.'
name|'disabled'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'service_mock'
op|'.'
name|'disabled_reason'
op|','
string|"'Manually disabled'"
op|')'
newline|'\n'
nl|'\n'
dedent|''
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
op|'@'
name|'mock'
op|'.'
name|'patch'
op|'.'
name|'object'
op|'('
name|'libvirt'
op|'.'
name|'driver'
op|'.'
name|'LibvirtDriver'
op|','
string|"'_unplug_vifs'"
op|')'
newline|'\n'
DECL|member|test_unplug_vifs_with_destroy_vifs_false
name|'def'
name|'test_unplug_vifs_with_destroy_vifs_false'
op|'('
name|'self'
op|','
name|'unplug_vifs_mock'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'cleanup'
op|'('
name|'self'
op|'.'
name|'ctxt'
op|','
name|'instance_ref'
op|','
name|'network_info'
op|','
nl|'\n'
name|'destroy_vifs'
op|'='
name|'False'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'unplug_vifs_mock'
op|'.'
name|'call_count'
op|','
number|'0'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
op|'@'
name|'mock'
op|'.'
name|'patch'
op|'.'
name|'object'
op|'('
name|'libvirt'
op|'.'
name|'driver'
op|'.'
name|'LibvirtDriver'
op|','
string|"'_unplug_vifs'"
op|')'
newline|'\n'
DECL|member|test_unplug_vifs_with_destroy_vifs_true
name|'def'
name|'test_unplug_vifs_with_destroy_vifs_true'
op|'('
name|'self'
op|','
name|'unplug_vifs_mock'
op|')'
op|':'
newline|'\n'
indent|' '
name|'instance_ref'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'cleanup'
op|'('
name|'self'
op|'.'
name|'ctxt'
op|','
name|'instance_ref'
op|','
name|'network_info'
op|','
nl|'\n'
name|'destroy_vifs'
op|'='
name|'True'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'unplug_vifs_mock'
op|'.'
name|'call_count'
op|','
number|'1'
op|')'
newline|'\n'
name|'unplug_vifs_mock'
op|'.'
name|'assert_called_once_with'
op|'('
name|'instance_ref'
op|','
nl|'\n'
name|'network_info'
op|','
name|'True'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_get_device_name_for_instance
dedent|''
name|'def'
name|'test_get_device_name_for_instance'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'skipTest'
op|'('
string|'"Tested by the nova.tests.unit.virt.libvirt suite"'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'catch_notimplementederror'
newline|'\n'
op|'@'
name|'mock'
op|'.'
name|'patch'
op|'('
string|"'nova.utils.get_image_from_system_metadata'"
op|')'
newline|'\n'
op|'@'
name|'mock'
op|'.'
name|'patch'
op|'('
string|'"nova.virt.libvirt.host.Host.has_min_version"'
op|')'
newline|'\n'
DECL|member|test_set_admin_password
name|'def'
name|'test_set_admin_password'
op|'('
name|'self'
op|','
name|'ver'
op|','
name|'mock_image'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'flags'
op|'('
name|'virt_type'
op|'='
string|"'kvm'"
op|','
name|'group'
op|'='
string|"'libvirt'"
op|')'
newline|'\n'
name|'mock_image'
op|'.'
name|'return_value'
op|'='
op|'{'
string|'"properties"'
op|':'
op|'{'
nl|'\n'
string|'"hw_qemu_guest_agent"'
op|':'
string|'"yes"'
op|'}'
op|'}'
newline|'\n'
name|'instance'
op|','
name|'network_info'
op|'='
name|'self'
op|'.'
name|'_get_running_instance'
op|'('
name|'obj'
op|'='
name|'True'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'connection'
op|'.'
name|'set_admin_password'
op|'('
name|'instance'
op|','
string|"'p4ssw0rd'"
op|')'
newline|'\n'
dedent|''
dedent|''
endmarker|''
end_unit
| 13.232023 | 234 | 0.629174 | 12,259 | 84,460 | 4.194225 | 0.051554 | 0.162437 | 0.086547 | 0.084408 | 0.843729 | 0.787152 | 0.731587 | 0.688974 | 0.660482 | 0.63481 | 0 | 0.00203 | 0.096105 | 84,460 | 6,382 | 235 | 13.234096 | 0.67147 | 0 | 0 | 0.924162 | 0 | 0.000313 | 0.389119 | 0.088551 | 0 | 0 | 0 | 0 | 0.008618 | 0 | null | null | 0.002507 | 0.006111 | null | null | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
7a5c2ee8accd80344122ca3b1b7d4d198707f6ea | 176 | py | Python | src/preceptron1/test_preceptron.py | Farooq-azam-khan/preceptron-learning-algorithm | f229d28928713342314ca43bbdb714b17396661a | [
"MIT"
] | null | null | null | src/preceptron1/test_preceptron.py | Farooq-azam-khan/preceptron-learning-algorithm | f229d28928713342314ca43bbdb714b17396661a | [
"MIT"
] | 1 | 2021-08-23T20:47:53.000Z | 2021-08-23T20:47:53.000Z | src/preceptron1/test_preceptron.py | Farooq-azam-khan/preceptron-learning-algorithm | f229d28928713342314ca43bbdb714b17396661a | [
"MIT"
] | null | null | null | import unittest
from preceptron import Preceptron
import random
class TestPreceptronModelClass(unittest.TestCase):
pass
if __name__ == '__main__':
unittest.main()
| 16 | 50 | 0.767045 | 18 | 176 | 7.055556 | 0.666667 | 0.251969 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.164773 | 176 | 10 | 51 | 17.6 | 0.863946 | 0 | 0 | 0 | 0 | 0 | 0.045455 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.142857 | 0.428571 | 0 | 0.571429 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 6 |
7a783a273d9327b7ed84e57baaeae1521d9da086 | 30 | py | Python | model/__init__.py | alexghergh/cdl2020 | ea174700a758b35e9956e4b3701058c5d612a5d3 | [
"MIT"
] | null | null | null | model/__init__.py | alexghergh/cdl2020 | ea174700a758b35e9956e4b3701058c5d612a5d3 | [
"MIT"
] | 5 | 2020-02-15T11:48:07.000Z | 2021-09-14T10:49:02.000Z | model/__init__.py | alexghergh/cdl2020 | ea174700a758b35e9956e4b3701058c5d612a5d3 | [
"MIT"
] | null | null | null | from model.index import Index
| 15 | 29 | 0.833333 | 5 | 30 | 5 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.133333 | 30 | 1 | 30 | 30 | 0.961538 | 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 |
7aa2ddd1e7af4bda8911fe7b09d2f306e20b038f | 25 | py | Python | gamesense/__init__.py | anishg24/gamesense | ec6435378de1711c0c88f667bc30bbb3db9832cc | [
"MIT"
] | 3 | 2018-11-17T18:44:51.000Z | 2020-11-19T18:14:06.000Z | gamesense/__init__.py | anishg24/gamesense | ec6435378de1711c0c88f667bc30bbb3db9832cc | [
"MIT"
] | 2 | 2021-06-01T22:56:51.000Z | 2021-11-08T16:38:32.000Z | gamesense/__init__.py | anishg24/gamesense | ec6435378de1711c0c88f667bc30bbb3db9832cc | [
"MIT"
] | 2 | 2020-11-19T18:14:09.000Z | 2021-06-02T17:13:48.000Z | from .gamesense import *
| 12.5 | 24 | 0.76 | 3 | 25 | 6.333333 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.16 | 25 | 1 | 25 | 25 | 0.904762 | 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 |
8fb20662e4186a73c9049f9b6a28329932bba204 | 17,052 | py | Python | mayan/apps/document_signatures/tests/test_api.py | nattangwiwat/Mayan-EDMS-recitation | fcf16afb56eae812fb99144d65ae1ae6749de0b7 | [
"Apache-2.0"
] | 4 | 2021-09-02T00:16:30.000Z | 2021-09-09T22:25:15.000Z | mayan/apps/document_signatures/tests/test_api.py | nattangwiwat/Mayan-EDMS-recitation | fcf16afb56eae812fb99144d65ae1ae6749de0b7 | [
"Apache-2.0"
] | 86 | 2021-09-01T23:53:02.000Z | 2021-09-20T02:25:10.000Z | mayan/apps/document_signatures/tests/test_api.py | nattangwiwat/Mayan-EDMS-recitation | fcf16afb56eae812fb99144d65ae1ae6749de0b7 | [
"Apache-2.0"
] | 70 | 2021-09-01T12:54:51.000Z | 2022-02-16T00:53:18.000Z | from rest_framework import status
from mayan.apps.django_gpg.permissions import permission_key_sign
from mayan.apps.django_gpg.tests.literals import TEST_KEY_PUBLIC_ID
from mayan.apps.django_gpg.tests.mixins import KeyTestMixin
from mayan.apps.documents.events import (
event_document_file_created, event_document_file_edited,
event_document_version_created, event_document_version_page_created
)
from mayan.apps.documents.tests.mixins.document_mixins import DocumentTestMixin
from mayan.apps.rest_api.tests.base import BaseAPITestCase
from ..events import (
event_detached_signature_created, event_detached_signature_uploaded,
event_embedded_signature_created
)
from ..permissions import (
permission_document_file_sign_detached,
permission_document_file_sign_embedded,
permission_document_file_signature_delete,
permission_document_file_signature_view,
permission_document_file_signature_upload
)
from .literals import TEST_SIGNED_DOCUMENT_PATH
from .mixins import (
DetachedSignatureAPIViewTestMixin, EmbeddedSignatureAPIViewTestMixin,
SignatureTestMixin
)
class DetachedSignatureDocumentAPIViewTestCase(
DocumentTestMixin, DetachedSignatureAPIViewTestMixin,
KeyTestMixin, SignatureTestMixin, BaseAPITestCase
):
auto_upload_test_document = False
def test_document_signature_detached_delete_api_view_no_permission(self):
self._upload_test_document()
self._upload_test_detached_signature()
signatures = self.test_document.file_latest.signatures.count()
self._clear_events()
response = self._request_test_document_signature_detached_delete_view()
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
self.assertEqual(
self.test_document.file_latest.signatures.count(),
signatures
)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_document_signature_detached_delete_api_view_with_access(self):
self._upload_test_document()
self._upload_test_detached_signature()
signatures = self.test_document.file_latest.signatures.count()
self.grant_access(
obj=self.test_document,
permission=permission_document_file_signature_delete
)
self._clear_events()
response = self._request_test_document_signature_detached_delete_view()
self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)
self.assertEqual(
self.test_document.file_latest.signatures.count(),
signatures - 1
)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_document_signature_detached_detail_api_view_no_permission(self):
self._upload_test_document()
self._upload_test_detached_signature()
self._clear_events()
response = self._request_test_document_signature_detached_detail_view()
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_document_signature_detached_detail_api_view_with_access(self):
self._upload_test_document()
self._upload_test_detached_signature()
self.grant_access(
obj=self.test_document,
permission=permission_document_file_signature_view
)
self._clear_events()
response = self._request_test_document_signature_detached_detail_view()
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(
response.data['key_id'], TEST_KEY_PUBLIC_ID
)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_document_signature_detached_list_api_view_no_permission(self):
self._upload_test_document()
self._upload_test_detached_signature()
self._clear_events()
response = self._request_test_document_signature_detached_list_view()
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_document_signature_detached_list_api_view_with_access(self):
self._upload_test_document()
self._upload_test_detached_signature()
self.grant_access(
obj=self.test_document,
permission=permission_document_file_signature_view
)
self._clear_events()
response = self._request_test_document_signature_detached_list_view()
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(
response.data['results'][0]['key_id'], TEST_KEY_PUBLIC_ID
)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_document_signature_detached_sign_api_view_with_no_permission(self):
self._upload_test_document()
self._create_test_key_private()
signatures = self.test_document.file_latest.signatures.count()
self._clear_events()
response = self._request_test_document_signature_detached_sign_view()
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
self.assertEqual(
self.test_document.file_latest.signatures.count(),
signatures
)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_document_signature_detached_sign_api_view_with_document_access(self):
self._upload_test_document()
self._create_test_key_private()
signatures = self.test_document.file_latest.signatures.count()
self.grant_access(
obj=self.test_document,
permission=permission_document_file_sign_detached
)
self._clear_events()
response = self._request_test_document_signature_detached_sign_view()
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
self.assertEqual(
self.test_document.file_latest.signatures.count(),
signatures
)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_document_signature_detached_sign_api_view_with_key_access(self):
self._upload_test_document()
self._create_test_key_private()
signatures = self.test_document.file_latest.signatures.count()
self.grant_access(
obj=self.test_key_private,
permission=permission_key_sign
)
self._clear_events()
response = self._request_test_document_signature_detached_sign_view()
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
self.assertEqual(
self.test_document.file_latest.signatures.count(),
signatures
)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_document_signature_detached_sign_api_view_with_full_access(self):
self._upload_test_document()
self._create_test_key_private()
signatures = self.test_document.file_latest.signatures.count()
self.grant_access(
obj=self.test_document,
permission=permission_document_file_sign_detached
)
self.grant_access(
obj=self.test_key_private,
permission=permission_key_sign
)
self._clear_events()
response = self._request_test_document_signature_detached_sign_view()
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(
self.test_document.file_latest.signatures.count(),
signatures + 1
)
events = self._get_test_events()
self.assertEqual(events.count(), 1)
self.assertEqual(
events[0].action_object,
self.test_document.file_latest.signatures.first().detachedsignature
)
self.assertEqual(events[0].actor, self._test_case_user)
self.assertEqual(events[0].target, self.test_document_file)
self.assertEqual(events[0].verb, event_detached_signature_created.id)
def test_document_signature_detached_upload_api_view_no_permission(self):
self._upload_test_document()
self._create_test_key_private()
signatures = self.test_document.file_latest.signatures.count()
self._clear_events()
response = self._request_test_document_signature_detached_upload_view()
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
self.assertEqual(
self.test_document.file_latest.signatures.count(),
signatures
)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_document_signature_detached_upload_api_view_with_access(self):
self._upload_test_document()
self._create_test_key_private()
signatures = self.test_document.file_latest.signatures.count()
self.grant_access(
obj=self.test_document,
permission=permission_document_file_signature_upload
)
self._clear_events()
response = self._request_test_document_signature_detached_upload_view()
self.assertEqual(response.status_code, status.HTTP_201_CREATED)
self.assertEqual(
self.test_document.file_latest.signatures.count(),
signatures + 1
)
events = self._get_test_events()
self.assertEqual(events.count(), 1)
self.assertEqual(
events[0].action_object,
self.test_document.file_latest.signatures.first().detachedsignature
)
self.assertEqual(events[0].actor, self._test_case_user)
self.assertEqual(events[0].target, self.test_document_file)
self.assertEqual(events[0].verb, event_detached_signature_uploaded.id)
class EmbeddedSignatureDocumentAPIViewTestCase(
DocumentTestMixin, EmbeddedSignatureAPIViewTestMixin,
KeyTestMixin, BaseAPITestCase
):
auto_upload_test_document = False
def test_document_signature_embedded_detail_api_view_no_permission(self):
self.test_document_path = TEST_SIGNED_DOCUMENT_PATH
self._upload_test_document()
self._clear_events()
response = self._request_test_document_signature_embedded_detail_view()
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_document_signature_embedded_detail_api_view_with_access(self):
self.test_document_path = TEST_SIGNED_DOCUMENT_PATH
self._upload_test_document()
self.grant_access(
obj=self.test_document,
permission=permission_document_file_signature_view
)
self._clear_events()
response = self._request_test_document_signature_embedded_detail_view()
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(
response.data['key_id'], TEST_KEY_PUBLIC_ID
)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_document_signature_embedded_list_api_view_no_permission(self):
self.test_document_path = TEST_SIGNED_DOCUMENT_PATH
self._upload_test_document()
self._clear_events()
response = self._request_test_document_signature_embedded_list_view()
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_document_signature_embedded_list_api_view_with_access(self):
self.test_document_path = TEST_SIGNED_DOCUMENT_PATH
self._upload_test_document()
self.grant_access(
obj=self.test_document,
permission=permission_document_file_signature_view
)
self._clear_events()
response = self._request_test_document_signature_embedded_list_view()
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(
response.data['results'][0]['key_id'], TEST_KEY_PUBLIC_ID
)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_document_signature_embedded_sign_api_view_with_no_permission(self):
self._upload_test_document()
self._create_test_key_private()
signatures = self.test_document.file_latest.signatures.count()
self._clear_events()
response = self._request_test_document_signature_embedded_sign_view()
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
self.assertEqual(
self.test_document.file_latest.signatures.count(),
signatures
)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_document_signature_embedded_sign_api_view_with_document_access(self):
self._upload_test_document()
self._create_test_key_private()
signatures = self.test_document.file_latest.signatures.count()
self.grant_access(
obj=self.test_document,
permission=permission_document_file_sign_embedded
)
self._clear_events()
response = self._request_test_document_signature_embedded_sign_view()
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
self.assertEqual(
self.test_document.file_latest.signatures.count(),
signatures
)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_document_signature_embedded_sign_api_view_with_key_access(self):
self._upload_test_document()
self._create_test_key_private()
signatures = self.test_document.file_latest.signatures.count()
self.grant_access(
obj=self.test_key_private,
permission=permission_key_sign
)
self._clear_events()
response = self._request_test_document_signature_embedded_sign_view()
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
self.assertEqual(
self.test_document.file_latest.signatures.count(),
signatures
)
events = self._get_test_events()
self.assertEqual(events.count(), 0)
def test_document_signature_embedded_sign_api_view_with_full_access(self):
self._upload_test_document()
self._create_test_key_private()
signatures = self.test_document.file_latest.signatures.count()
self.grant_access(
obj=self.test_document,
permission=permission_document_file_sign_embedded
)
self.grant_access(
obj=self.test_key_private,
permission=permission_key_sign
)
self._clear_events()
response = self._request_test_document_signature_embedded_sign_view()
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(
self.test_document.file_latest.signatures.count(),
signatures + 1
)
events = self._get_test_events()
self.assertEqual(events.count(), 5)
test_document_file = self.test_document.file_latest
test_document_version = self.test_document.versions.last()
self.assertEqual(events[0].action_object, self.test_document)
self.assertEqual(events[0].actor, self._test_case_user)
self.assertEqual(events[0].target, test_document_file)
self.assertEqual(events[0].verb, event_document_file_created.id)
self.assertEqual(events[1].action_object, self.test_document)
self.assertEqual(events[1].actor, self._test_case_user)
self.assertEqual(events[1].target, test_document_file)
self.assertEqual(events[1].verb, event_document_file_edited.id)
self.assertEqual(events[2].action_object, self.test_document)
self.assertEqual(events[2].actor, self._test_case_user)
self.assertEqual(events[2].target, test_document_version)
self.assertEqual(events[2].verb, event_document_version_created.id)
self.assertEqual(events[3].action_object, test_document_version)
self.assertEqual(events[3].actor, self._test_case_user)
self.assertEqual(events[3].target, test_document_version.pages.first())
self.assertEqual(
events[3].verb, event_document_version_page_created.id
)
self.assertEqual(
events[4].action_object,
self.test_document.file_latest.signatures.first().embeddedsignature
)
self.assertEqual(events[4].actor, self._test_case_user)
self.assertEqual(events[4].target, self.test_document_file)
self.assertEqual(events[4].verb, event_embedded_signature_created.id)
| 34.172345 | 82 | 0.709477 | 1,941 | 17,052 | 5.762494 | 0.053065 | 0.126598 | 0.070094 | 0.055431 | 0.892803 | 0.85865 | 0.84667 | 0.842825 | 0.807331 | 0.79392 | 0 | 0.008494 | 0.212937 | 17,052 | 498 | 83 | 34.240964 | 0.824901 | 0 | 0 | 0.682192 | 0 | 0 | 0.002228 | 0 | 0 | 0 | 0 | 0 | 0.230137 | 1 | 0.054795 | false | 0 | 0.030137 | 0 | 0.09589 | 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 |
8fd6c9b700904b379c58c00c53680176dd4cf2dd | 28,760 | py | Python | tests/test_parsers/test_docstrings/test_restructured_text.py | shashankrnr32/pytkdocs | bf04764f1608970643932329c9f6c8c63a0c5632 | [
"0BSD"
] | 21 | 2021-02-20T05:20:52.000Z | 2022-03-04T20:57:16.000Z | tests/test_parsers/test_docstrings/test_restructured_text.py | shashankrnr32/pytkdocs | bf04764f1608970643932329c9f6c8c63a0c5632 | [
"0BSD"
] | 84 | 2020-03-22T15:29:56.000Z | 2021-02-09T21:47:11.000Z | tests/test_parsers/test_docstrings/test_restructured_text.py | shashankrnr32/pytkdocs | bf04764f1608970643932329c9f6c8c63a0c5632 | [
"0BSD"
] | 21 | 2020-04-09T13:56:23.000Z | 2021-01-19T19:18:42.000Z | """Tests for [the `parsers.docstrings.google` module][pytkdocs.parsers.docstrings.google]."""
import inspect
from textwrap import dedent
import pytest
from pytkdocs.loader import Loader
from pytkdocs.objects import Object
from pytkdocs.parsers.docstrings.base import AnnotatedObject, Attribute, Parameter, Section, empty
from pytkdocs.parsers.docstrings.restructured_text import RestructuredText
from pytkdocs.serializer import serialize_attribute
class DummyObject:
def __init__(self, signature, return_type):
self.path = "o"
self.signature = signature
self.type = return_type
SOME_NAME = "foo"
SOME_TEXT = "descriptive test text"
SOME_EXTRA_TEXT = "more test text"
SOME_EXCEPTION_NAME = "SomeException"
SOME_OTHER_EXCEPTION_NAME = "SomeOtherException"
def dedent_strip(text: str) -> str:
return dedent(text).strip()
def parse(obj, strip_docstring=True):
"""Helper to parse a docstring."""
return parse_detailed(inspect.getdoc(obj), inspect.signature(obj), strip_docstring=strip_docstring)
def parse_detailed(docstring, signature=None, return_type=inspect.Signature.empty, strip_docstring=True):
"""Helper to parse a docstring."""
docstring = dedent_strip(docstring) if strip_docstring else dedent(docstring)
return RestructuredText().parse(docstring, {"obj": DummyObject(signature, return_type)})
def assert_parameter_equal(actual: Parameter, expected: Parameter) -> None:
assert actual.name == expected.name
assert_annotated_obj_equal(actual, expected)
assert actual.kind == expected.kind
assert actual.default == expected.default
def assert_attribute_equal(actual: Attribute, expected: Attribute) -> None:
assert actual.name == expected.name
assert_annotated_obj_equal(actual, expected)
def assert_annotated_obj_equal(actual: AnnotatedObject, expected: AnnotatedObject) -> None:
assert actual.annotation == expected.annotation
assert actual.description == expected.description
def get_rst_object_documentation(dotted_fixture_subpath) -> Object:
return Loader(docstring_style="restructured-text").get_object_documentation(
f"tests.fixtures.parsing.restructured_text.{dotted_fixture_subpath}"
)
@pytest.mark.parametrize(
"docstring",
[
"One line docstring description",
"""
Multiple line docstring description.
With more text.
""",
],
)
def test_parse__description_only_docstring__single_markdown_section(docstring):
sections, errors = parse_detailed(docstring)
assert len(sections) == 1
assert sections[0].type == Section.Type.MARKDOWN
assert sections[0].value == dedent_strip(docstring)
assert not errors
def test_parse__no_description__single_markdown_section():
sections, errors = parse_detailed("")
assert len(sections) == 1
assert sections[0].type == Section.Type.MARKDOWN
assert sections[0].value == ""
assert not errors
def test_parse__multiple_blank_lines_before_description__single_markdown_section():
sections, errors = parse_detailed(
"""
Now text""",
strip_docstring=False,
)
assert len(sections) == 1
assert sections[0].type == Section.Type.MARKDOWN
assert sections[0].value == "Now text"
assert not errors
def test_parse__description_with_initial_newline__single_markdown_section():
docstring = """
With initial newline
"""
sections, errors = parse_detailed(docstring, strip_docstring=False)
assert len(sections) == 1
assert sections[0].type == Section.Type.MARKDOWN
assert sections[0].value == dedent_strip(docstring)
assert not errors
def test_parse__param_field__param_section():
"""Parse a simple docstring."""
sections, errors = parse_detailed(
f"""
Docstring with one line param.
:param {SOME_NAME}: {SOME_TEXT}
"""
)
assert len(sections) == 2
assert sections[1].type == Section.Type.PARAMETERS
assert_parameter_equal(
sections[1].value[0], Parameter(SOME_NAME, annotation=empty, description=SOME_TEXT, kind=empty)
)
def test_parse__only_param_field__empty_markdown():
sections, errors = parse_detailed(":param foo: text")
assert len(sections) == 2
assert sections[0].type == Section.Type.MARKDOWN
assert sections[0].value == ""
@pytest.mark.parametrize(
"param_directive_name",
[
"param",
"parameter",
"arg",
"argument",
"key",
"keyword",
],
)
def test_parse__all_param_names__param_section(param_directive_name):
sections, errors = parse_detailed(
f"""
Docstring with one line param.
:{param_directive_name} {SOME_NAME}: {SOME_TEXT}
"""
)
assert len(sections) == 2
assert sections[1].type == Section.Type.PARAMETERS
assert_parameter_equal(
sections[1].value[0], Parameter(SOME_NAME, annotation=empty, description=SOME_TEXT, kind=empty)
)
@pytest.mark.parametrize(
"docstring",
[
f"""
Docstring with param with continuation, no indent.
:param {SOME_NAME}: {SOME_TEXT}
{SOME_EXTRA_TEXT}
""",
f"""
Docstring with param with continuation, with indent.
:param {SOME_NAME}: {SOME_TEXT}
{SOME_EXTRA_TEXT}
""",
],
)
def test_parse__param_field_multi_line__param_section(docstring):
"""Parse a simple docstring."""
sections, errors = parse_detailed(docstring)
assert len(sections) == 2
assert sections[1].type == Section.Type.PARAMETERS
assert_parameter_equal(
sections[1].value[0],
Parameter(SOME_NAME, annotation=empty, description=f"{SOME_TEXT} {SOME_EXTRA_TEXT}", kind=empty),
)
def test_parse__param_field_for_function__param_section_with_kind():
"""Parse a simple docstring."""
def f(foo):
"""
Docstring with line continuation.
:param foo: descriptive test text
"""
sections, errors = parse(f)
assert len(sections) == 2
assert sections[1].type == Section.Type.PARAMETERS
assert_parameter_equal(
sections[1].value[0],
Parameter(SOME_NAME, annotation=empty, description=SOME_TEXT, kind=inspect.Parameter.POSITIONAL_OR_KEYWORD),
)
def test_parse__param_field_docs_type__param_section_with_type():
"""Parse a simple docstring."""
def f(foo):
"""
Docstring with line continuation.
:param str foo: descriptive test text
"""
sections, errors = parse(f)
assert len(sections) == 2
assert sections[1].type == Section.Type.PARAMETERS
assert_parameter_equal(
sections[1].value[0],
Parameter(SOME_NAME, annotation="str", description=SOME_TEXT, kind=inspect.Parameter.POSITIONAL_OR_KEYWORD),
)
def test_parse__param_field_type_field__param_section_with_type():
"""Parse a simple docstring."""
def f(foo):
"""
Docstring with line continuation.
:param foo: descriptive test text
:type foo: str
"""
sections, errors = parse(f)
assert len(sections) == 2
assert sections[1].type == Section.Type.PARAMETERS
assert_parameter_equal(
sections[1].value[0],
Parameter(SOME_NAME, annotation="str", description=SOME_TEXT, kind=inspect.Parameter.POSITIONAL_OR_KEYWORD),
)
def test_parse__param_field_type_field_first__param_section_with_type():
"""Parse a simple docstring."""
def f(foo):
"""
Docstring with line continuation.
:type foo: str
:param foo: descriptive test text
"""
sections, errors = parse(f)
assert len(sections) == 2
assert sections[1].type == Section.Type.PARAMETERS
assert_parameter_equal(
sections[1].value[0],
Parameter(SOME_NAME, annotation="str", description=SOME_TEXT, kind=inspect.Parameter.POSITIONAL_OR_KEYWORD),
)
def test_parse__param_field_type_field_or_none__param_section_with_optional():
"""Parse a simple docstring."""
def f(foo):
"""
Docstring with line continuation.
:param foo: descriptive test text
:type foo: str or None
"""
sections, errors = parse(f)
assert len(sections) == 2
assert sections[1].type == Section.Type.PARAMETERS
assert_parameter_equal(
sections[1].value[0],
Parameter(
SOME_NAME, annotation="Optional[str]", description=SOME_TEXT, kind=inspect.Parameter.POSITIONAL_OR_KEYWORD
),
)
def test_parse__param_field_type_none_or_field__param_section_with_optional():
"""Parse a simple docstring."""
def f(foo):
"""
Docstring with line continuation.
:param foo: descriptive test text
:type foo: None or str
"""
sections, errors = parse(f)
assert len(sections) == 2
assert sections[1].type == Section.Type.PARAMETERS
assert_parameter_equal(
sections[1].value[0],
Parameter(
SOME_NAME, annotation="Optional[str]", description=SOME_TEXT, kind=inspect.Parameter.POSITIONAL_OR_KEYWORD
),
)
def test_parse__param_field_type_field_or_int__param_section_with_union():
"""Parse a simple docstring."""
def f(foo):
"""
Docstring with line continuation.
:param foo: descriptive test text
:type foo: str or int
"""
sections, errors = parse(f)
assert len(sections) == 2
assert sections[1].type == Section.Type.PARAMETERS
assert_parameter_equal(
sections[1].value[0],
Parameter(
SOME_NAME, annotation="Union[str,int]", description=SOME_TEXT, kind=inspect.Parameter.POSITIONAL_OR_KEYWORD
),
)
def test_parse__param_field_type_multiple__param_section_with_union():
"""Parse a simple docstring."""
def f(foo):
"""
Docstring with line continuation.
:param foo: descriptive test text
:type foo: str or int or float
"""
sections, errors = parse(f)
assert len(sections) == 2
assert sections[1].type == Section.Type.PARAMETERS
assert_parameter_equal(
sections[1].value[0],
Parameter(
SOME_NAME,
annotation="Union[str,int,float]",
description=SOME_TEXT,
kind=inspect.Parameter.POSITIONAL_OR_KEYWORD,
),
)
def test_parse__param_field_annotate_type__param_section_with_type():
"""Parse a simple docstring."""
def f(foo: str):
"""
Docstring with line continuation.
:param foo: descriptive test text
"""
sections, errors = parse(f)
assert len(sections) == 2
assert sections[1].type == Section.Type.PARAMETERS
assert_parameter_equal(
sections[1].value[0],
Parameter(SOME_NAME, annotation=str, description=SOME_TEXT, kind=inspect.Parameter.POSITIONAL_OR_KEYWORD),
)
def test_parse__param_field_no_matching_param__result_from_docstring():
"""Parse a simple docstring."""
def f(foo: str):
"""
Docstring with line continuation.
:param other: descriptive test text
"""
sections, errors = parse(f)
assert len(sections) == 2
assert sections[1].type == Section.Type.PARAMETERS
assert_parameter_equal(
sections[1].value[0],
Parameter("other", annotation=empty, description=SOME_TEXT, kind=empty),
)
def test_parse__param_field_with_default__result_from_docstring():
"""Parse a simple docstring."""
def f(foo=""):
"""
Docstring with line continuation.
:param foo: descriptive test text
"""
sections, errors = parse(f)
assert len(sections) == 2
assert sections[1].type == Section.Type.PARAMETERS
assert_parameter_equal(
sections[1].value[0],
Parameter(
"foo", annotation=empty, description=SOME_TEXT, default="", kind=inspect.Parameter.POSITIONAL_OR_KEYWORD
),
)
def test_parse__param_field_no_matching_param__error_message():
"""Parse a simple docstring."""
def f(foo: str):
"""
Docstring with line continuation.
:param other: descriptive test text
"""
sections, errors = parse(f)
assert "No matching parameter for 'other'" in errors[0]
def test_parse__invalid_param_field_only_initial_marker__error_message():
"""Parse a simple docstring."""
def f(foo: str):
"""
Docstring with line continuation.
:param foo descriptive test text
"""
sections, errors = parse(f)
assert "Failed to get ':directive: value' pair" in errors[0]
def test_parse__invalid_param_field_wrong_part_count__error_message():
"""Parse a simple docstring."""
def f(foo: str):
"""
Docstring with line continuation.
:param: descriptive test text
"""
sections, errors = parse(f)
assert "Failed to parse field directive" in errors[0]
def test_parse__param_twice__error_message():
"""Parse a simple docstring."""
def f(foo: str):
"""
Docstring with line continuation.
:param foo: descriptive test text
:param foo: descriptive test text again
"""
sections, errors = parse(f)
assert "Duplicate parameter entry for 'foo'" in errors[0]
def test_parse__param_type_twice_doc__error_message():
"""Parse a simple docstring."""
def f(foo):
"""
Docstring with line continuation.
:param str foo: descriptive test text
:type foo: str
"""
sections, errors = parse(f)
assert "Duplicate parameter information for 'foo'" in errors[0]
def test_parse__param_type_twice_type_directive_first__error_message():
"""Parse a simple docstring."""
def f(foo):
"""
Docstring with line continuation.
:type foo: str
:param str foo: descriptive test text
"""
sections, errors = parse(f)
assert "Duplicate parameter information for 'foo'" in errors[0]
def test_parse__param_type_twice_annotated__error_message():
"""Parse a simple docstring."""
def f(foo: str):
"""
Docstring with line continuation.
:param str foo: descriptive test text
:type foo: str
"""
sections, errors = parse(f)
assert "Duplicate parameter information for 'foo'" in errors[0]
def test_parse__param_type_no_type__error_message():
"""Parse a simple docstring."""
def f(foo: str):
"""
Docstring with line continuation.
:param str foo: descriptive test text
:type str
"""
sections, errors = parse(f)
assert "Failed to get ':directive: value' pair from" in errors[0]
def test_parse__param_type_no_name__error_message():
"""Parse a simple docstring."""
def f(foo: str):
"""
Docstring with line continuation.
:param str foo: descriptive test text
:type: str
"""
sections, errors = parse(f)
assert "Failed to get parameter name from" in errors[0]
@pytest.mark.parametrize(
"docstring",
[
f"""
Docstring with param with continuation, no indent.
:var {SOME_NAME}: {SOME_TEXT}
{SOME_EXTRA_TEXT}
""",
f"""
Docstring with param with continuation, with indent.
:var {SOME_NAME}: {SOME_TEXT}
{SOME_EXTRA_TEXT}
""",
],
)
def test_parse__attribute_field_multi_line__param_section(docstring):
"""Parse a simple docstring."""
sections, errors = parse_detailed(docstring)
assert len(sections) == 2
assert sections[1].type == Section.Type.ATTRIBUTES
assert_attribute_equal(
sections[1].value[0],
Attribute(SOME_NAME, annotation=empty, description=f"{SOME_TEXT} {SOME_EXTRA_TEXT}"),
)
@pytest.mark.parametrize(
"attribute_directive_name",
[
"var",
"ivar",
"cvar",
],
)
def test_parse__all_attribute_names__param_section(attribute_directive_name):
sections, errors = parse_detailed(
f"""
Docstring with one line attribute.
:{attribute_directive_name} {SOME_NAME}: {SOME_TEXT}
"""
)
assert len(sections) == 2
assert sections[1].type == Section.Type.ATTRIBUTES
assert_attribute_equal(
sections[1].value[0],
Attribute(SOME_NAME, annotation=empty, description=SOME_TEXT),
)
def test_parse__class_attributes__attributes_section():
class Foo:
"""
Class docstring with attributes
:var foo: descriptive test text
"""
sections, errors = parse(Foo)
assert len(sections) == 2
assert sections[1].type == Section.Type.ATTRIBUTES
assert_attribute_equal(
sections[1].value[0],
Attribute(SOME_NAME, annotation=empty, description=SOME_TEXT),
)
def test_parse__class_attributes_with_type__annotation_in_attributes_section():
class Foo:
"""
Class docstring with attributes
:vartype foo: str
:var foo: descriptive test text
"""
sections, errors = parse(Foo)
assert len(sections) == 2
assert sections[1].type == Section.Type.ATTRIBUTES
assert_attribute_equal(
sections[1].value[0],
Attribute(SOME_NAME, annotation="str", description=SOME_TEXT),
)
def test_parse__attribute_invalid_directive___error():
class Foo:
"""
Class docstring with attributes
:var descriptive test text
"""
sections, errors = parse(Foo)
assert "Failed to get ':directive: value' pair from" in errors[0]
def test_parse__attribute_no_name__error():
class Foo:
"""
Class docstring with attributes
:var: descriptive test text
"""
sections, errors = parse(Foo)
assert "Failed to parse field directive from" in errors[0]
def test_parse__attribute_duplicate__error():
class Foo:
"""
Class docstring with attributes
:var foo: descriptive test text
:var foo: descriptive test text
"""
sections, errors = parse(Foo)
assert "Duplicate attribute entry for 'foo'" in errors[0]
def test_parse__class_attributes_type_invalid__error():
class Foo:
"""
Class docstring with attributes
:vartype str
:var foo: descriptive test text
"""
sections, errors = parse(Foo)
assert "Failed to get ':directive: value' pair from " in errors[0]
def test_parse__class_attributes_type_no_name__error():
class Foo:
"""
Class docstring with attributes
:vartype: str
:var foo: descriptive test text
"""
sections, errors = parse(Foo)
assert "Failed to get attribute name from" in errors[0]
def test_parse__return_directive__return_section_no_type():
def f(foo: str):
"""
Function with only return directive
:return: descriptive test text
"""
return foo
sections, errors = parse(f)
assert len(sections) == 2
assert sections[1].type == Section.Type.RETURN
assert_annotated_obj_equal(
sections[1].value,
AnnotatedObject(annotation=empty, description=SOME_TEXT),
)
def test_parse__return_directive_rtype__return_section_with_type():
def f(foo: str):
"""
Function with only return & rtype directive
:return: descriptive test text
:rtype: str
"""
return foo
sections, errors = parse(f)
assert len(sections) == 2
assert sections[1].type == Section.Type.RETURN
assert_annotated_obj_equal(
sections[1].value,
AnnotatedObject(annotation="str", description=SOME_TEXT),
)
def test_parse__return_directive_rtype_first__return_section_with_type():
def f(foo: str):
"""
Function with only return & rtype directive
:rtype: str
:return: descriptive test text
"""
return foo
sections, errors = parse(f)
assert len(sections) == 2
assert sections[1].type == Section.Type.RETURN
assert_annotated_obj_equal(
sections[1].value,
AnnotatedObject(annotation="str", description=SOME_TEXT),
)
def test_parse__return_directive_annotation__return_section_with_type():
def f(foo: str) -> str:
"""
Function with return directive, rtype directive, & annotation
:return: descriptive test text
"""
return foo
sections, errors = parse(f)
assert len(sections) == 2
assert sections[1].type == Section.Type.RETURN
assert_annotated_obj_equal(
sections[1].value,
AnnotatedObject(annotation=str, description=SOME_TEXT),
)
def test_parse__return_directive_annotation__return_section_with_type_error():
def f(foo: str) -> str:
"""
Function with return directive, rtype directive, & annotation
:return: descriptive test text
:rtype: str
"""
return foo
sections, errors = parse(f)
assert len(sections) == 2
assert sections[1].type == Section.Type.RETURN
assert_annotated_obj_equal(
sections[1].value,
AnnotatedObject(annotation=str, description=SOME_TEXT),
)
assert "Duplicate type information for return" in errors[0]
def test_parse__return_invalid__error():
def f(foo: str):
"""
Function with only return directive
:return descriptive test text
"""
return foo
sections, errors = parse(f)
assert "Failed to get ':directive: value' pair from " in errors[0]
def test_parse__rtype_invalid__error():
def f(foo: str):
"""
Function with only return directive
:rtype str
"""
return foo
sections, errors = parse(f)
assert "Failed to get ':directive: value' pair from " in errors[0]
def test_parse__raises_directive__exception_section():
def f(foo: str):
"""
Function with only return directive
:raise SomeException: descriptive test text
"""
return foo
sections, errors = parse(f)
assert len(sections) == 2
assert sections[1].type == Section.Type.EXCEPTIONS
assert_annotated_obj_equal(
sections[1].value[0],
AnnotatedObject(annotation=SOME_EXCEPTION_NAME, description=SOME_TEXT),
)
def test_parse__multiple_raises_directive__exception_section_with_two():
def f(foo: str):
"""
Function with only return directive
:raise SomeException: descriptive test text
:raise SomeOtherException: descriptive test text
"""
return foo
sections, errors = parse(f)
assert len(sections) == 2
assert sections[1].type == Section.Type.EXCEPTIONS
assert_annotated_obj_equal(
sections[1].value[0],
AnnotatedObject(annotation=SOME_EXCEPTION_NAME, description=SOME_TEXT),
)
assert_annotated_obj_equal(
sections[1].value[1],
AnnotatedObject(annotation=SOME_OTHER_EXCEPTION_NAME, description=SOME_TEXT),
)
@pytest.mark.parametrize(
"attribute_directive_name",
[
"raises",
"raise",
"except",
"exception",
],
)
def test_parse__all_exception_names__param_section(attribute_directive_name):
sections, errors = parse_detailed(
f"""
Docstring with one line attribute.
:{attribute_directive_name} {SOME_EXCEPTION_NAME}: {SOME_TEXT}
"""
)
assert len(sections) == 2
assert sections[1].type == Section.Type.EXCEPTIONS
assert_annotated_obj_equal(
sections[1].value[0],
AnnotatedObject(annotation=SOME_EXCEPTION_NAME, description=SOME_TEXT),
)
def test_parse__raise_invalid__error():
def f(foo: str):
"""
Function with only return directive
:raise descriptive test text
"""
return foo
sections, errors = parse(f)
assert "Failed to get ':directive: value' pair from " in errors[0]
def test_parse__raise_no_name__error():
def f(foo: str):
"""
Function with only return directive
:raise: descriptive test text
"""
return foo
sections, errors = parse(f)
assert "Failed to parse exception directive from" in errors[0]
# -------------------------------
# Fixture tests
# -------------------------------
def test_parse_module_attributes_section__expected_attributes_section():
"""Parse attributes section in modules."""
obj = get_rst_object_documentation("docstring_attributes_section")
assert len(obj.docstring_sections) == 2
attr_section = obj.docstring_sections[1]
assert attr_section.type == Section.Type.ATTRIBUTES
assert len(attr_section.value) == 5
expected = [
{"name": "A", "annotation": "int", "description": "Alpha."},
# type annotation takes preference over docstring
{"name": "B", "annotation": "str", "description": "Beta."},
{"name": "C", "annotation": "bool", "description": "Gamma."},
{"name": "D", "annotation": "", "description": "Delta."},
{"name": "E", "annotation": "float", "description": "Epsilon."},
]
assert [serialize_attribute(attr) for attr in attr_section.value] == expected
def test_parse_module_attributes_section__expected_docstring_errors():
"""Parse attributes section in modules."""
obj = get_rst_object_documentation("docstring_attributes_section")
assert len(obj.docstring_errors) == 1
assert "Duplicate attribute information for 'B'" in obj.docstring_errors[0]
def test_property_docstring__expected_description():
"""Parse a property docstring."""
class_ = get_rst_object_documentation("class_docstrings:NotDefinedYet")
prop = class_.attributes[0]
sections = prop.docstring_sections
assert len(sections) == 2
assert sections[0].type == Section.Type.MARKDOWN
assert (
sections[0].value
== "This property returns `self`.\n\nIt's fun because you can call it like `obj.ha.ha.ha.ha.ha.ha...`."
)
def test_property_docstring__expected_return():
"""Parse a property docstring."""
class_ = get_rst_object_documentation("class_docstrings:NotDefinedYet")
prop = class_.attributes[0]
sections = prop.docstring_sections
assert len(sections) == 2
assert sections[1].type == Section.Type.RETURN
assert_annotated_obj_equal(sections[1].value, AnnotatedObject("NotDefinedYet", "self!"))
def test_property_class_init__expected_description():
class_ = get_rst_object_documentation("class_docstrings:ClassInitFunction")
init = class_.methods[0]
sections = init.docstring_sections
assert len(sections) == 2
assert sections[0].type == Section.Type.MARKDOWN
assert sections[0].value == "Initialize instance."
def test_class_init__expected_param():
class_ = get_rst_object_documentation("class_docstrings:ClassInitFunction")
init = class_.methods[0]
sections = init.docstring_sections
assert len(sections) == 2
assert sections[1].type == Section.Type.PARAMETERS
param_section = sections[1]
assert_parameter_equal(
param_section.value[0], Parameter("value", str, "Value to store", kind=inspect.Parameter.POSITIONAL_OR_KEYWORD)
)
assert_parameter_equal(
param_section.value[1],
Parameter("other", "int", "Other value with default", kind=inspect.Parameter.POSITIONAL_OR_KEYWORD, default=1),
)
def test_member_function___expected_param():
class_ = get_rst_object_documentation("class_docstrings:ClassWithFunction")
init = class_.methods[0]
sections = init.docstring_sections
assert len(sections) == 3
param_section = sections[1]
assert param_section.type == Section.Type.PARAMETERS
assert_parameter_equal(
param_section.value[0], Parameter("value", str, "Value to store", kind=inspect.Parameter.POSITIONAL_OR_KEYWORD)
)
assert_parameter_equal(
param_section.value[1],
Parameter("other", "int", "Other value with default", kind=inspect.Parameter.POSITIONAL_OR_KEYWORD, default=1),
)
def test_member_function___expected_return():
class_ = get_rst_object_documentation("class_docstrings:ClassWithFunction")
init = class_.methods[0]
sections = init.docstring_sections
assert len(sections) == 3
assert sections[2].type == Section.Type.RETURN
assert_annotated_obj_equal(sections[2].value, AnnotatedObject(str, "Concatenated result"))
def test_property_docstring__no_errors():
"""Parse a property docstring."""
class_ = get_rst_object_documentation("class_docstrings:NotDefinedYet")
prop = class_.attributes[0]
assert not prop.docstring_errors
| 27.895247 | 119 | 0.66516 | 3,342 | 28,760 | 5.467684 | 0.060144 | 0.031029 | 0.033492 | 0.030537 | 0.81957 | 0.797734 | 0.792973 | 0.771959 | 0.748481 | 0.727959 | 0 | 0.007673 | 0.229659 | 28,760 | 1,030 | 120 | 27.92233 | 0.817107 | 0.142281 | 0 | 0.614437 | 0 | 0.001761 | 0.130804 | 0.022588 | 0 | 0 | 0 | 0 | 0.272887 | 1 | 0.170775 | false | 0 | 0.014085 | 0.003521 | 0.225352 | 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 |
8fe19d507564baae449fcb5a7c02377d9177fc7c | 8,385 | py | Python | src/python/units/MessageFunction.py | tengyu-liu/Part-GPNN | d2092917edeee835fc1888101dddf42ad76ec5e5 | [
"MIT"
] | null | null | null | src/python/units/MessageFunction.py | tengyu-liu/Part-GPNN | d2092917edeee835fc1888101dddf42ad76ec5e5 | [
"MIT"
] | null | null | null | src/python/units/MessageFunction.py | tengyu-liu/Part-GPNN | d2092917edeee835fc1888101dddf42ad76ec5e5 | [
"MIT"
] | null | null | null | """
Created on Oct 05, 2017
@author: Siyuan Qi
Description of the file.
"""
import torch
import torch.nn
import torch.autograd
class MessageFunction(torch.nn.Module):
def __init__(self, message_def, args):
super(MessageFunction, self).__init__()
self.m_definition = ''
self.m_function = None
self.args = {}
self.learn_args = torch.nn.ParameterList([])
self.learn_modules = torch.nn.ModuleList([])
self.__set_message(message_def, args)
# Message from h_v to h_w through e_vw
def forward(self, h_v, h_w, e_vw, args=None):
if self.m_definition == 'linear':
message = torch.autograd.Variable(torch.zeros(e_vw.size()[0], self.args['message_size'], e_vw.size()[2]))
if hasattr(args, 'cuda') and args.cuda:
message = message.cuda()
for i_node in range(e_vw.size()[2]):
message[:, :, i_node] = self.learn_modules[0](e_vw[:, :, i_node]) + self.learn_modules[1](h_w[:, :, i_node])
return message
if self.m_definition == 'linear_edge':
message = torch.autograd.Variable(torch.zeros(e_vw.size()[0], self.args['message_size'], e_vw.size()[2]))
if hasattr(args, 'cuda') and args.cuda:
message = message.cuda()
for i_node in range(e_vw.size()[2]):
message[:, :, i_node] = self.learn_modules[0](e_vw[:, :, i_node])
return message
if self.m_definition == 'linear_concat':
message = torch.autograd.Variable(torch.zeros(e_vw.size()[0], self.args['message_size'], e_vw.size()[2]))
if hasattr(args, 'cuda') and args.cuda:
message = message.cuda()
for i_node in range(e_vw.size()[2]):
message[:, :, i_node] = torch.cat([self.learn_modules[0](e_vw[:, :, i_node]), self.learn_modules[1](h_w[:, :, i_node])], 1)
return message
if self.m_definition == 'linear_concat_relu':
message = torch.autograd.Variable(torch.zeros(e_vw.size()[0], self.args['message_size'], e_vw.size()[2]))
if hasattr(args, 'cuda') and args.cuda:
message = message.cuda()
# Optimized
e_vw_shape = e_vw.shape
h_w_shape = h_w.shape
e_vw = e_vw.permute([0,2,1]).contiguous().view([-1, e_vw_shape[1]])
h_w = h_w.permute([0,2,1]).contiguous().view([-1, h_w_shape[1]])
e_vw = self.learn_modules[0](e_vw).contiguous().view([e_vw_shape[0], e_vw_shape[2], -1]).permute([0,2,1])
h_w = self.learn_modules[1](h_w).contiguous().view([h_w_shape[0], h_w_shape[2], -1]).permute([0,2,1])
message = torch.cat([e_vw, h_w], dim=1)
# for i_node in range(e_vw.size()[2]):
# message[:, :, i_node] = torch.cat([self.learn_modules[0](e_vw[:, :, i_node]), self.learn_modules[1](h_w[:, :, i_node])], 1)
return message
print('WARNING!: Message Function has not been set correctly\n\tIncorrect definition ' + message_def)
quit()
# Set a message function
def __set_message(self, message_def, args):
self.m_definition = message_def.lower()
self.args = args
# self.m_function = {
# 'linear': self.m_linear,
# 'linear_edge': self.m_linear_edge,
# 'linear_concat': self.m_linear_concat,
# 'linear_concat_relu': self.m_linear_concat_relu,
# }.get(self.m_definition, None)
# if self.m_function is None:
# print('WARNING!: Message Function has not been set correctly\n\tIncorrect definition ' + message_def)
# quit()
init_parameters = {
'linear': self.init_linear,
'linear_edge': self.init_linear_edge,
'linear_concat': self.init_linear_concat,
'linear_concat_relu': self.init_linear_concat_relu,
}.get(self.m_definition, lambda x: (torch.nn.ParameterList([]), torch.nn.ModuleList([]), {}))
init_parameters()
# Get the name of the used message function
def get_definition(self):
return self.m_definition
# Get the message function arguments
def get_args(self):
return self.args
# Definition of message functions
# Combination of linear transformation of edge features and node features
def m_linear(self, h_v, h_w, e_vw, args):
message = torch.autograd.Variable(torch.zeros(e_vw.size()[0], self.args['message_size'], e_vw.size()[2]))
if hasattr(args, 'cuda') and args.cuda:
message = message.cuda()
for i_node in range(e_vw.size()[2]):
message[:, :, i_node] = self.learn_modules[0](e_vw[:, :, i_node]) + self.learn_modules[1](h_w[:, :, i_node])
return message
def init_linear(self):
edge_feature_size = self.args['edge_feature_size']
node_feature_size = self.args['node_feature_size']
message_size = self.args['message_size']
self.learn_modules.append(torch.nn.Linear(edge_feature_size, message_size, bias=True))
self.learn_modules.append(torch.nn.Linear(node_feature_size, message_size, bias=True))
# Linear transformation of edge features
def m_linear_edge(self, h_v, h_w, e_vw, args):
message = torch.autograd.Variable(torch.zeros(e_vw.size()[0], self.args['message_size'], e_vw.size()[2]))
if hasattr(args, 'cuda') and args.cuda:
message = message.cuda()
for i_node in range(e_vw.size()[2]):
message[:, :, i_node] = self.learn_modules[0](e_vw[:, :, i_node])
return message
def init_linear_edge(self):
edge_feature_size = self.args['edge_feature_size']
message_size = self.args['message_size']
self.learn_modules.append(torch.nn.Linear(edge_feature_size, message_size, bias=True))
# Concatenation of linear transformation of edge features and node features
def m_linear_concat(self, h_v, h_w, e_vw, args):
message = torch.autograd.Variable(torch.zeros(e_vw.size()[0], self.args['message_size'], e_vw.size()[2]))
if hasattr(args, 'cuda') and args.cuda:
message = message.cuda()
for i_node in range(e_vw.size()[2]):
message[:, :, i_node] = torch.cat([self.learn_modules[0](e_vw[:, :, i_node]), self.learn_modules[1](h_w[:, :, i_node])], 1)
return message
def init_linear_concat(self):
edge_feature_size = self.args['edge_feature_size']
node_feature_size = self.args['node_feature_size']
message_size = self.args['message_size']/2
self.learn_modules.append(torch.nn.Linear(edge_feature_size, message_size, bias=True))
self.learn_modules.append(torch.nn.Linear(node_feature_size, message_size, bias=True))
# Concatenation of linear transformation of edge features and node features with ReLU
def m_linear_concat_relu(self, h_v, h_w, e_vw, args):
message = torch.autograd.Variable(torch.zeros(e_vw.size()[0], self.args['message_size'], e_vw.size()[2]))
if hasattr(args, 'cuda') and args.cuda:
message = message.cuda()
# Optimized
e_vw_shape = e_vw.shape
h_w_shape = h_w.shape
e_vw = e_vw.permute([0,2,1]).contiguous().view([-1, e_vw_shape[1]])
h_w = h_w.permute([0,2,1]).contiguous().view([-1, h_w_shape[1]])
e_vw = self.learn_modules[0](e_vw).contiguous().view([e_vw_shape[0], e_vw_shape[2], -1]).permute([0,2,1])
h_w = self.learn_modules[1](h_w).contiguous().view([h_w_shape[0], h_w_shape[2], -1]).permute([0,2,1])
message = torch.cat([e_vw, h_w], dim=1)
# for i_node in range(e_vw.size()[2]):
# message[:, :, i_node] = torch.cat([self.learn_modules[0](e_vw[:, :, i_node]), self.learn_modules[1](h_w[:, :, i_node])], 1)
return message
def init_linear_concat_relu(self):
edge_feature_size = self.args['edge_feature_size']
node_feature_size = self.args['node_feature_size']
message_size = int(self.args['message_size']/2)
self.learn_modules.append(torch.nn.Linear(edge_feature_size, message_size, bias=True))
self.learn_modules.append(torch.nn.Linear(node_feature_size, message_size, bias=True))
def main():
pass
if __name__ == '__main__':
main()
| 43.900524 | 141 | 0.619082 | 1,216 | 8,385 | 4.004112 | 0.083882 | 0.035736 | 0.085438 | 0.026289 | 0.814746 | 0.79236 | 0.779215 | 0.75991 | 0.749641 | 0.733826 | 0 | 0.015542 | 0.232677 | 8,385 | 190 | 142 | 44.131579 | 0.741219 | 0.147764 | 0 | 0.61157 | 0 | 0 | 0.067051 | 0.003092 | 0 | 0 | 0 | 0 | 0 | 1 | 0.115702 | false | 0.008264 | 0.024793 | 0.016529 | 0.231405 | 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 |
89039bdf92e7ff0b63cfa96c1a91b4110f06609f | 121 | py | Python | rov/hardware/servo/Servo_Mock.py | jiena76/X11-Core | 95aec844822ab4e53c09accc48ef25d70e9b4f08 | [
"MIT"
] | 9 | 2017-09-21T22:00:46.000Z | 2018-12-26T15:46:40.000Z | rov/hardware/servo/Servo_Mock.py | jiena76/X11-Core | 95aec844822ab4e53c09accc48ef25d70e9b4f08 | [
"MIT"
] | 25 | 2017-10-06T17:25:51.000Z | 2018-04-19T00:51:50.000Z | rov/hardware/servo/Servo_Mock.py | jiena76/X11-Core | 95aec844822ab4e53c09accc48ef25d70e9b4f08 | [
"MIT"
] | 2 | 2017-10-19T22:41:37.000Z | 2018-05-10T20:33:45.000Z | class Servo(object):
def __init__(self, pin=12):
self.pin = pin
def setAngle(self, angle):
pass
| 17.285714 | 31 | 0.578512 | 16 | 121 | 4.125 | 0.6875 | 0.212121 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02381 | 0.305785 | 121 | 6 | 32 | 20.166667 | 0.761905 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.4 | false | 0.2 | 0 | 0 | 0.6 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 6 |
56b0621a19f65f5f7bd999fcb94a5f05a4362ac6 | 2,176 | py | Python | figures/classifier_training.py | mathialo/master_code | 3ab986938817f0ee327d4b79b62756abb5cefeda | [
"MIT"
] | 2 | 2019-09-07T12:54:09.000Z | 2021-03-06T20:51:23.000Z | figures/classifier_training.py | mathialo/master_code | 3ab986938817f0ee327d4b79b62756abb5cefeda | [
"MIT"
] | null | null | null | figures/classifier_training.py | mathialo/master_code | 3ab986938817f0ee327d4b79b62756abb5cefeda | [
"MIT"
] | 2 | 2019-09-07T12:54:12.000Z | 2022-02-23T05:54:24.000Z | from plotstyle import *
parseval_train_acc = np.load("classifier_data/overfit/parseval_train_acc.npy")
parseval_val_acc = np.load("classifier_data/overfit/parseval_val_acc.npy")
parseval_steps = np.load("classifier_data/overfit/parseval_steps.npy")
vanilla_train_acc = np.load("classifier_data/overfit/vanilla_train_acc.npy")
vanilla_val_acc = np.load("classifier_data/overfit/vanilla_val_acc.npy")
vanilla_steps = np.load("classifier_data/overfit/vanilla_steps.npy")
plt.figure(figsize=[6, 4])
plt.plot(parseval_steps, parseval_train_acc)
plt.plot(parseval_steps, parseval_val_acc)
# plt.xlabel("Iterations")
plt.ylim([-5, 110])
plt.legend(["Training accuracy", "Validation accuracy"], loc=4)
plt.tight_layout()
plt.savefig("overfit_training_acc_parseval.pdf", facecolor='none')
# plt.show()
plt.figure(figsize=[6, 4])
plt.plot(vanilla_steps, vanilla_train_acc)
plt.plot(vanilla_steps, vanilla_val_acc)
# plt.xlabel("Iterations")
plt.ylim([-5, 110])
plt.legend(["Training accuracy", "Validation accuracy"], loc=4)
plt.tight_layout()
plt.savefig("overfit_training_acc_vanilla.pdf", facecolor='none')
# plt.show()
parseval_train_acc = np.load("classifier_data/fit/parseval_train_acc.npy")
parseval_val_acc = np.load("classifier_data/fit/parseval_val_acc.npy")
parseval_steps = np.load("classifier_data/fit/parseval_steps.npy")
vanilla_train_acc = np.load("classifier_data/fit/vanilla_train_acc.npy")
vanilla_val_acc = np.load("classifier_data/fit/vanilla_val_acc.npy")
vanilla_steps = np.load("classifier_data/fit/vanilla_steps.npy")
plt.figure(figsize=[6, 4])
plt.plot(parseval_steps, parseval_train_acc)
plt.plot(parseval_steps, parseval_val_acc)
# plt.xlabel("Iterations")
plt.ylim([-5, 110])
plt.legend(["Training accuracy", "Validation accuracy"], loc=4)
plt.tight_layout()
plt.savefig("fit_training_acc_parseval.pdf", facecolor='none')
# plt.show()
plt.figure(figsize=[6, 4])
plt.plot(vanilla_steps, vanilla_train_acc)
plt.plot(vanilla_steps, vanilla_val_acc)
# plt.xlabel("Iterations")
plt.ylim([-5, 110])
plt.legend(["Training accuracy", "Validation accuracy"], loc=4)
plt.tight_layout()
plt.savefig("fit_training_acc_vanilla.pdf", facecolor='none')
# plt.show() | 38.857143 | 78 | 0.787224 | 331 | 2,176 | 4.897281 | 0.117825 | 0.059223 | 0.118445 | 0.148057 | 0.988279 | 0.988279 | 0.975941 | 0.906848 | 0.869833 | 0.869833 | 0 | 0.013659 | 0.057904 | 2,176 | 56 | 79 | 38.857143 | 0.777073 | 0.065717 | 0 | 0.585366 | 0 | 0 | 0.385185 | 0.306173 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.02439 | 0 | 0.02439 | 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 |
56bcc34fc03cdb01e58123cd0b4d1c82a6505d97 | 3,053 | py | Python | faculdade/sistemaBD/migrations/0001_initial.py | Edu-Santana/AC06-Django | 6d189d437046ccda317176de8d525b71659d8025 | [
"Apache-2.0"
] | 1 | 2019-05-03T23:30:19.000Z | 2019-05-03T23:30:19.000Z | faculdade/sistemaBD/migrations/0001_initial.py | Edu-Santana/AC06-Django | 6d189d437046ccda317176de8d525b71659d8025 | [
"Apache-2.0"
] | null | null | null | faculdade/sistemaBD/migrations/0001_initial.py | Edu-Santana/AC06-Django | 6d189d437046ccda317176de8d525b71659d8025 | [
"Apache-2.0"
] | null | null | null | # Generated by Django 3.0.dev20190427181822 on 2019-05-01 17:25
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Aluno',
fields=[
('RA', models.IntegerField(primary_key=True, serialize=False, verbose_name='Matricula')),
('nome', models.CharField(max_length=50, verbose_name='Nome')),
('sobrenome', models.CharField(max_length=80, verbose_name='Sobrenome')),
('nascimento', models.DateField(verbose_name='Nascimento')),
('CPF', models.IntegerField(max_length=11, unique=True, verbose_name='CPF')),
('endereco', models.CharField(max_length=120, verbose_name='Endereco')),
('complemento', models.CharField(blank=True, max_length=20, null=True, verbose_name='Complemento')),
('telefone', models.IntegerField(max_length=11, verbose_name='Telefone')),
],
),
migrations.CreateModel(
name='Curso',
fields=[
('idCurso', models.IntegerField(primary_key=True, serialize=False, verbose_name='Curso')),
('nomeCurso', models.CharField(max_length=30, verbose_name='Nome')),
('descricao', models.CharField(max_length=100, verbose_name='Descricao')),
('sigla', models.CharField(max_length=2, verbose_name='Sigla')),
('duracao', models.CharField(max_length=20, verbose_name='Duracao do Curso')),
],
),
migrations.CreateModel(
name='Professor',
fields=[
('idProf', models.IntegerField(primary_key=True, serialize=False, verbose_name='Identificacao')),
('nome', models.CharField(max_length=50, verbose_name='Nome')),
('sobrenome', models.CharField(max_length=80, verbose_name='Sobrenome')),
('nascimento', models.DateField(verbose_name='Nascimento')),
('CPF', models.IntegerField(max_length=11, unique=True, verbose_name='CPF')),
('endereco', models.CharField(max_length=120, verbose_name='Endereco')),
('complemento', models.CharField(blank=True, max_length=20, null=True, verbose_name='Complemento')),
('telefone', models.IntegerField(max_length=11, verbose_name='Telefone')),
],
),
migrations.CreateModel(
name='Usuario',
fields=[
('idUsuario', models.IntegerField(primary_key=True, serialize=False, verbose_name='idsite')),
('nome', models.CharField(max_length=50, verbose_name='Nome')),
('sobrenome', models.CharField(max_length=80, verbose_name='Sobrenome')),
('nascimento', models.DateField(verbose_name='Nascimento')),
('CPF', models.IntegerField(max_length=11, unique=True, verbose_name='CPF')),
],
),
]
| 50.04918 | 116 | 0.59679 | 295 | 3,053 | 6.010169 | 0.237288 | 0.161309 | 0.121827 | 0.162437 | 0.708404 | 0.708404 | 0.708404 | 0.708404 | 0.708404 | 0.579808 | 0 | 0.029969 | 0.256797 | 3,053 | 60 | 117 | 50.883333 | 0.751432 | 0.01998 | 0 | 0.641509 | 1 | 0 | 0.137458 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.018868 | 0 | 0.09434 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
56c62d0eec08983cc26c7c261d66370ec7ad73b1 | 5,967 | py | Python | libretto/tests/models/oeuvre.py | adrienlachaize/dezede | 584ec30cedab95152e2f95595b7691a04e6736e2 | [
"BSD-3-Clause"
] | 15 | 2015-02-10T21:16:31.000Z | 2021-03-25T16:46:20.000Z | libretto/tests/models/oeuvre.py | adrienlachaize/dezede | 584ec30cedab95152e2f95595b7691a04e6736e2 | [
"BSD-3-Clause"
] | 4 | 2021-02-10T15:42:08.000Z | 2022-03-11T23:20:38.000Z | libretto/tests/models/oeuvre.py | adrienlachaize/dezede | 584ec30cedab95152e2f95595b7691a04e6736e2 | [
"BSD-3-Clause"
] | 6 | 2016-07-10T14:20:48.000Z | 2022-01-19T18:34:02.000Z | import os
from django.utils.encoding import force_text
from ...models import *
from .utils import CommonTestCase
PATH = os.path.abspath(os.path.dirname(__file__))
class OeuvreTestCase(CommonTestCase):
model = Oeuvre
fixtures = [
os.path.join(PATH, 'fixtures/oeuvre.yaml'),
]
def setUp(self):
# Force save to rebuild slug & tree fields
for oeuvre in Oeuvre.objects.all():
oeuvre.save()
def test_str(self):
def test_oeuvre(pk, n_queries, n_queries_prefetched, result):
oeuvre = Oeuvre.objects.get(pk=pk)
with self.assertNumQueries(n_queries):
self.assertEqual(force_text(oeuvre), result)
oeuvre = Oeuvre.objects.prefetch_all().get(pk=pk)
with self.assertNumQueries(n_queries_prefetched):
self.assertEqual(force_text(oeuvre), result)
test_oeuvre(1, 0, 0, 'Carmen')
test_oeuvre(2, 1, 1, 'Carmen, Acte I')
test_oeuvre(3, 5, 2, 'Carmen, I, № 5 Habanera de Carmen '
'« L’amour est un oiseau rebelle »')
test_oeuvre(4, 3, 0, 'Sonate pour violon')
test_oeuvre(5, 2, 0, 'Symphonie n° 5')
test_oeuvre(6, 0, 0, 'Le Tartuffe, ou l’Imposteur')
def test_titre_descr(self):
def test_oeuvre(pk, n_queries, n_queries_prefetched, result):
oeuvre = Oeuvre.objects.get(pk=pk)
with self.assertNumQueries(n_queries):
self.assertEqual(oeuvre.titre_descr(), result)
oeuvre = Oeuvre.objects.prefetch_all().get(pk=pk)
with self.assertNumQueries(n_queries_prefetched):
self.assertEqual(oeuvre.titre_descr(), result)
test_oeuvre(1, 1, 0, 'Carmen, opéra')
test_oeuvre(2, 1, 1, 'Carmen, Acte I')
test_oeuvre(3, 5, 2, 'Carmen, I, № 5 Habanera de Carmen '
'« L’amour est un oiseau rebelle »')
test_oeuvre(4, 3, 0, 'Sonate pour violon')
test_oeuvre(5, 2, 0, 'Symphonie n° 5, op. 107')
test_oeuvre(6, 1, 0, 'Le Tartuffe, ou l’Imposteur, '
'comédie en cinq actes et en vers')
def test_titre_html(self):
def test_oeuvre(pk, n_queries, n_queries_prefetched, result):
oeuvre = Oeuvre.objects.get(pk=pk)
with self.assertNumQueries(n_queries):
self.assertEqual(oeuvre.titre_html(), result)
oeuvre = Oeuvre.objects.prefetch_all().get(pk=pk)
with self.assertNumQueries(n_queries_prefetched):
self.assertEqual(oeuvre.titre_html(), result)
test_oeuvre(1, 0, 0,
'<a href="/oeuvres/carmen/"><cite>Carmen</cite></a>')
test_oeuvre(
2, 1, 1,
'<a href="/oeuvres/carmen/"><cite>Carmen</cite></a>, '
'<a href="/oeuvres/carmen-acte-i/">Acte I</a>')
test_oeuvre(
3, 5, 2,
'<a href="/oeuvres/carmen/"><cite>Carmen</cite></a>, '
'<a href="/oeuvres/carmen-acte-i/">I</a>, '
'<a href="/oeuvres/carmen-i-'
'5-habanera-de-carmen-l-amour-est-un/">'
'№ 5 Habanera de Carmen <span title="Incipit">'
'« L’amour est un oiseau rebelle »</span></a>')
test_oeuvre(4, 3, 0,
'<a href="/oeuvres/sonate-pour-violon/">'
'Sonate pour violon</a>')
test_oeuvre(5, 2, 0,
'<a href="/oeuvres/symphonie-n-5/">Symphonie n° 5</a>')
test_oeuvre(
6, 0, 0,
'<a href="/oeuvres/le-tartuffe-ou-l-imposteur/">'
'<cite>Le Tartuffe, ou l’Imposteur</cite></a>')
def test_description_html(self):
def test_oeuvre(pk, n_queries, n_queries_prefetched, result):
oeuvre = Oeuvre.objects.get(pk=pk)
with self.assertNumQueries(n_queries):
self.assertEqual(oeuvre.description_html(), result)
oeuvre = Oeuvre.objects.prefetch_all().get(pk=pk)
with self.assertNumQueries(n_queries_prefetched):
self.assertEqual(oeuvre.description_html(), result)
test_oeuvre(1, 1, 0, 'opéra')
test_oeuvre(2, 0, 0, '')
test_oeuvre(3, 0, 0, '')
test_oeuvre(4, 0, 0, '')
test_oeuvre(5, 0, 0, '<span title="Opus">op. 107</span>')
test_oeuvre(
6, 1, 0,
'comédie <span title="Coupe">en cinq actes et en vers</span>')
def test_html(self):
def test_oeuvre(pk, n_queries, n_queries_prefetched, result):
oeuvre = Oeuvre.objects.get(pk=pk)
with self.assertNumQueries(n_queries):
self.assertEqual(oeuvre.html(), result)
oeuvre = Oeuvre.objects.prefetch_all().get(pk=pk)
with self.assertNumQueries(n_queries_prefetched):
self.assertEqual(oeuvre.html(), result)
test_oeuvre(
1, 2, 1,
'<a href="/oeuvres/carmen/"><cite>Carmen</cite></a>, opéra')
test_oeuvre(
2, 2, 2,
'<cite>Carmen</cite>, '
'<a href="/oeuvres/carmen-acte-i/">Acte I</a>')
test_oeuvre(
3, 6, 3,
'<cite>Carmen</cite>, I, <a href="/oeuvres/carmen-i-'
'5-habanera-de-carmen-l-amour-est-un/">'
'№ 5 Habanera de Carmen <span title="Incipit">'
'« L’amour est un oiseau rebelle »</span></a>')
test_oeuvre(4, 4, 1,
'<a href="/oeuvres/sonate-pour-violon/">'
'Sonate pour violon</a>')
test_oeuvre(5, 3, 1,
'<a href="/oeuvres/symphonie-n-5/">Symphonie n° 5</a>, '
'<span title="Opus">op. 107</span>')
test_oeuvre(
6, 2, 1,
'<a href="/oeuvres/le-tartuffe-ou-l-imposteur/">'
'<cite>Le Tartuffe, ou l’Imposteur</cite></a>, '
'comédie <span title="Coupe">en cinq actes et en vers</span>')
| 42.621429 | 76 | 0.55455 | 770 | 5,967 | 4.205195 | 0.127273 | 0.108091 | 0.05559 | 0.077208 | 0.847437 | 0.822112 | 0.756949 | 0.756949 | 0.746757 | 0.715565 | 0 | 0.0266 | 0.300654 | 5,967 | 139 | 77 | 42.928058 | 0.744548 | 0.006704 | 0 | 0.560976 | 0 | 0 | 0.279494 | 0.119325 | 0 | 0 | 0 | 0 | 0.162602 | 1 | 0.089431 | false | 0 | 0.03252 | 0 | 0.146341 | 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 |
56d39a20c40f0ca354eb48826137e6a512632790 | 35 | py | Python | 14_pr4_sum_list.py | AmreshTripathy/Python | e86420fef7f52da393be5b50ac2f13bddfeb3306 | [
"Apache-2.0"
] | 4 | 2021-05-27T05:06:09.000Z | 2021-06-12T17:12:47.000Z | 14_pr4_sum_list.py | AmreshTripathy/Python | e86420fef7f52da393be5b50ac2f13bddfeb3306 | [
"Apache-2.0"
] | null | null | null | 14_pr4_sum_list.py | AmreshTripathy/Python | e86420fef7f52da393be5b50ac2f13bddfeb3306 | [
"Apache-2.0"
] | null | null | null | a = [10, 13, 9, 14]
print (sum(a)) | 17.5 | 20 | 0.485714 | 8 | 35 | 2.125 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.259259 | 0.228571 | 35 | 2 | 21 | 17.5 | 0.37037 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.5 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6 |
8591ee9f8ee22d9ab5d9ec16ac7ae887298939a2 | 6,246 | py | Python | guillotina_rediscache/tests/test_cache.py | masipcat/guillotina_rediscache | f7f755c86e80663690cbedbef72453f794c2d21a | [
"BSD-2-Clause"
] | 2 | 2019-04-09T20:04:46.000Z | 2019-07-09T12:44:12.000Z | guillotina_rediscache/tests/test_cache.py | masipcat/guillotina_rediscache | f7f755c86e80663690cbedbef72453f794c2d21a | [
"BSD-2-Clause"
] | 1 | 2019-03-25T12:31:07.000Z | 2019-09-29T17:05:31.000Z | guillotina_rediscache/tests/test_cache.py | masipcat/guillotina_rediscache | f7f755c86e80663690cbedbef72453f794c2d21a | [
"BSD-2-Clause"
] | 1 | 2018-12-10T10:39:05.000Z | 2018-12-10T10:39:05.000Z | from guillotina import app_settings
from guillotina.component import getUtility
from guillotina.tests import mocks
from guillotina.tests.utils import create_content
from guillotina_rediscache import cache
from guillotina_rediscache import serialize
from guillotina_rediscache.cache_strategy import RedisCache
from guillotina_rediscache.interfaces import CACHE_PREFIX
from guillotina_rediscache.interfaces import IRedisChannelUtility
import asyncio
async def test_cache_set(redis_container, dummy_guillotina, loop):
await cache.close_redis_pool()
trns = mocks.MockTransaction(mocks.MockTransactionManager())
trns.added = trns.deleted = {}
rcache = RedisCache(trns, loop=loop)
await rcache.clear()
await rcache.set('bar', oid='foo')
# make sure it is in redis
val = await rcache._redis.get(CACHE_PREFIX + 'root-foo')
assert serialize.loads(val) == "bar"
# but also in memory
assert rcache._memory_cache.get('root-foo') == 'bar'
# and api matches..
assert await rcache.get(oid='foo') == 'bar'
await cache.close_redis_pool()
async def test_cache_delete(redis_container, dummy_guillotina, loop):
await cache.close_redis_pool()
trns = mocks.MockTransaction(mocks.MockTransactionManager())
trns.added = trns.deleted = {}
rcache = RedisCache(trns, loop=loop)
await rcache.clear()
await rcache.set('bar', oid='foo')
# make sure it is in redis
assert serialize.loads(
await rcache._redis.get(CACHE_PREFIX + 'root-foo')) == "bar"
assert rcache._memory_cache.get('root-foo') == 'bar'
assert await rcache.get(oid='foo') == 'bar'
# now delete
await rcache.delete('root-foo')
assert await rcache.get(oid='foo') is None
await cache.close_redis_pool()
async def test_cache_clear(redis_container, dummy_guillotina, loop):
await cache.close_redis_pool()
trns = mocks.MockTransaction(mocks.MockTransactionManager())
trns.added = trns.deleted = {}
rcache = RedisCache(trns, loop=loop)
await rcache.clear()
await rcache.set('bar', oid='foo')
# make sure it is in redis
assert serialize.loads(
await rcache._redis.get(CACHE_PREFIX + 'root-foo')) == "bar"
assert rcache._memory_cache.get('root-foo') == 'bar'
assert await rcache.get(oid='foo') == 'bar'
await rcache.clear()
assert await rcache.get(oid='foo') is None
await cache.close_redis_pool()
async def test_invalidate_object(redis_container, dummy_guillotina, loop):
await cache.close_redis_pool()
trns = mocks.MockTransaction(mocks.MockTransactionManager())
trns.added = trns.deleted = {}
content = create_content()
trns.modified = {content._p_oid: content}
rcache = RedisCache(trns, loop=loop)
await rcache.clear()
await rcache.set('foobar', oid=content._p_oid)
assert serialize.loads(
await rcache._redis.get(
CACHE_PREFIX + 'root-' + content._p_oid)) == "foobar"
assert rcache._memory_cache.get('root-' + content._p_oid) == 'foobar'
assert await rcache.get(oid=content._p_oid) == 'foobar'
await rcache.close(invalidate=True)
assert await rcache.get(oid=content._p_oid) is None
await cache.close_redis_pool()
async def test_subscriber_invalidates(redis_container, dummy_guillotina, loop):
await cache.close_redis_pool()
trns = mocks.MockTransaction(mocks.MockTransactionManager())
trns.added = trns.deleted = {}
content = create_content()
trns.modified = {content._p_oid: content}
rcache = RedisCache(trns, loop=loop)
await rcache.clear()
await rcache.set('foobar', oid=content._p_oid)
assert serialize.loads(
await rcache._redis.get(
CACHE_PREFIX + 'root-' + content._p_oid)) == "foobar"
assert rcache._memory_cache.get(
'root-' + content._p_oid) == 'foobar'
assert await rcache.get(oid=content._p_oid) == 'foobar'
assert 'root-' + content._p_oid in rcache._memory_cache
await rcache._redis.publish(
app_settings['redis']['updates_channel'], serialize.dumps({
'tid': 32423,
'keys': ['root-' + content._p_oid]
}))
await asyncio.sleep(1) # should be enough for pub/sub to finish
assert 'root-' + content._p_oid not in rcache._memory_cache
await cache.close_redis_pool()
async def test_subscriber_ignores_trsn_on_invalidate(
redis_container, dummy_guillotina, loop):
await cache.close_redis_pool()
trns = mocks.MockTransaction(mocks.MockTransactionManager())
trns.added = trns.deleted = {}
content = create_content()
trns.modified = {content._p_oid: content}
rcache = RedisCache(trns, loop=loop)
await rcache.clear()
await rcache.set('foobar', oid=content._p_oid)
assert serialize.loads(
await rcache._redis.get(
CACHE_PREFIX + 'root-' + content._p_oid)) == "foobar"
assert rcache._memory_cache.get('root-' + content._p_oid) == 'foobar'
assert await rcache.get(oid=content._p_oid) == 'foobar'
assert 'root-' + content._p_oid in rcache._memory_cache
utility = getUtility(IRedisChannelUtility)
utility.ignore_tid(5555)
await rcache._redis.publish(
app_settings['redis']['updates_channel'], serialize.dumps({
'tid': 5555,
'keys': ['root-' + content._p_oid]
}))
await asyncio.sleep(1) # should be enough for pub/sub to finish
# should still be there because we set to ignore this tid
assert 'root-' + content._p_oid in rcache._memory_cache
# tid should also now be removed from ignored list
assert 5555 not in utility._ignored_tids
await cache.close_redis_pool()
async def test_get_size_of_item(dummy_guillotina, loop):
await cache.close_redis_pool()
trns = mocks.MockTransaction(mocks.MockTransactionManager())
trns.added = trns.deleted = {}
rcache = RedisCache(trns)
from guillotina_rediscache.cache_strategy import _default_size
import sys
assert rcache.get_size(dict(a=1)) == _default_size
assert rcache.get_size(1) == sys.getsizeof(1)
assert rcache.get_size(dict(state=b'x'*10)) == 10
item = [
'x'*10, 'x'*10, 'x'*10
]
assert rcache.get_size(item) == sys.getsizeof('x'*10) * 3
| 35.089888 | 79 | 0.696446 | 808 | 6,246 | 5.179455 | 0.141089 | 0.08411 | 0.057826 | 0.062127 | 0.805974 | 0.766308 | 0.745759 | 0.745759 | 0.703465 | 0.669534 | 0 | 0.006897 | 0.18748 | 6,246 | 177 | 80 | 35.288136 | 0.817734 | 0.048831 | 0 | 0.689394 | 0 | 0 | 0.051771 | 0 | 0 | 0 | 0 | 0 | 0.227273 | 1 | 0 | false | 0 | 0.090909 | 0 | 0.090909 | 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 |
859477fb72003bbd1decd3c7b23a4652ea2da908 | 71 | py | Python | units/shapes/function.py | doldam0/grapher | 5e82dd57be5274ab616839d10b42d2b741f2b081 | [
"MIT"
] | null | null | null | units/shapes/function.py | doldam0/grapher | 5e82dd57be5274ab616839d10b42d2b741f2b081 | [
"MIT"
] | null | null | null | units/shapes/function.py | doldam0/grapher | 5e82dd57be5274ab616839d10b42d2b741f2b081 | [
"MIT"
] | null | null | null | from units.shapes.shape import Shape
class Function(Shape):
pass
| 11.833333 | 36 | 0.746479 | 10 | 71 | 5.3 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.183099 | 71 | 5 | 37 | 14.2 | 0.913793 | 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 |
85c52a4096c5f363e4aac2cf0ccd845fec4030ca | 426 | py | Python | opac/models/masters/__init__.py | rimphyd/Django-OPAC | d86f2e28fee7f2ec551aeeb98ec67caefc06a3fb | [
"MIT"
] | 1 | 2020-11-26T05:25:46.000Z | 2020-11-26T05:25:46.000Z | opac/models/masters/__init__.py | rimphyd/Django-OPAC | d86f2e28fee7f2ec551aeeb98ec67caefc06a3fb | [
"MIT"
] | null | null | null | opac/models/masters/__init__.py | rimphyd/Django-OPAC | d86f2e28fee7f2ec551aeeb98ec67caefc06a3fb | [
"MIT"
] | null | null | null | from opac.models.masters.author import Author # noqa: F401
from opac.models.masters.book import Book # noqa: F401
from opac.models.masters.library import Library # noqa: F401
from opac.models.masters.publisher import Publisher # noqa: F401
from opac.models.masters.stock import Stock # noqa: F401
from opac.models.masters.translator import Translator # noqa: F401
from opac.models.masters.user import User # noqa: F401
| 53.25 | 67 | 0.786385 | 63 | 426 | 5.31746 | 0.222222 | 0.167164 | 0.292537 | 0.438806 | 0.519403 | 0.519403 | 0 | 0 | 0 | 0 | 0 | 0.056757 | 0.131455 | 426 | 7 | 68 | 60.857143 | 0.848649 | 0.178404 | 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 |
a48667c6a2375ee3bb7c1aaa0c327788539b6aec | 114,682 | py | Python | paper_fig_util/plot_figs.py | AllenInstitute/OpenScope_CA_Analysis | af0f96584c2f8dcd313e1c89b441eb08952e8b18 | [
"MIT"
] | null | null | null | paper_fig_util/plot_figs.py | AllenInstitute/OpenScope_CA_Analysis | af0f96584c2f8dcd313e1c89b441eb08952e8b18 | [
"MIT"
] | null | null | null | paper_fig_util/plot_figs.py | AllenInstitute/OpenScope_CA_Analysis | af0f96584c2f8dcd313e1c89b441eb08952e8b18 | [
"MIT"
] | 1 | 2022-02-17T17:46:53.000Z | 2022-02-17T17:46:53.000Z | """
plot_figs.py
This script contains functions defining figure panel plotting.
Authors: Colleen Gillon
Date: January, 2021
Note: this code uses python 3.7.
"""
import logging
import numpy as np
import pandas as pd
from util import logger_util, plot_util
from paper_fig_util import helper_fcts
from plot_fcts import behav_plots, corr_plots, misc_plots, seq_plots, \
stim_plots, roi_plots, usi_plots
logger = logging.getLogger(__name__)
#############################################
def plot_imaging_planes(sesspar, extrapar, imaging_plane_df, figpar):
"""
plot_roi_tracking(sesspar, extrapar, imaging_plane_df, figpar)
From dictionaries, plots imaging planes.
Returns figure name and save directory path.
Required args:
- sesspar (dict):
dictionary with keys of SessPar namedtuple
- extrapar (dict):
dictionary containing additional analysis parameters
- imaging_plane_df (pd.DataFrame in dict format):
dataframe with a row for each mouse, and the following
columns, in addition to the basic sess_df columns:
- "max_projections" (list): pixel intensities of maximum projection
for the plane (hei x wid)
- figpar (dict):
dictionary containing the following figure parameter dictionaries
["init"] (dict): dictionary with figure initialization parameters
["save"] (dict): dictionary with figure saving parameters
["dirs"] (dict): dictionary with additional figure parameters
Returns:
- fulldir (Path):
final path of the directory in which the figure is saved
- savename (str):
name under which the figure is saved
"""
title = "Imaging plane examples"
imaging_plane_df = pd.DataFrame.from_dict(imaging_plane_df)
ax = roi_plots.plot_imaging_planes(
imaging_plane_df,
figpar,
title=title
)
fig = ax.reshape(-1)[0].figure
savedir, savename = helper_fcts.get_save_path(
figpar['fig_panel_analysis'], main_direc=figpar["dirs"]["figdir"]
)
fulldir = plot_util.savefig(
fig, savename, savedir, log_dir=True, **figpar["save"]
)
return fulldir, savename
#############################################
def plot_roi_tracking(analyspar, sesspar, extrapar, roi_mask_df, figpar):
"""
plot_roi_tracking(analyspar, sesspar, extrapar, roi_mask_df, figpar)
From dictionaries, plots tracked ROI masks.
Returns figure name and save directory path.
Required args:
- analyspar (dict):
dictionary with keys of AnalysPar namedtuple
- sesspar (dict):
dictionary with keys of SessPar namedtuple
- extrapar (dict):
dictionary containing additional analysis parameters
- roi_mask_df (pd.DataFrame in dict format):
dataframe with a row for each mouse, and the following
columns, in addition to the basic sess_df columns:
- "max_projections" (list): pixel intensities of maximum projection
for the plane (hei x wid)
- "registered_roi_mask_idxs" (list): list of mask indices,
registered across sessions, for each session
(flattened across ROIs) ((sess, hei, wid) x val)
- "roi_mask_idxs" (list): list of mask indices for each session,
and each ROI (sess x ((ROI, hei, wid) x val)) (not registered)
- "roi_mask_shapes" (list): shape into which ROI mask indices index
(sess x hei x wid)
- "crop_fact" (num): factor by which to crop masks (> 1)
- "shift_prop_hei" (float): proportion by which to shift cropped
mask center vertically from left edge [0, 1]
- "shift_prop_wid" (float): proportion by which to shift cropped
mask center horizontally from left edge [0, 1]
- figpar (dict):
dictionary containing the following figure parameter dictionaries
["init"] (dict): dictionary with figure initialization parameters
["save"] (dict): dictionary with figure saving parameters
["dirs"] (dict): dictionary with additional figure parameters
Returns:
- fulldir (Path):
final path of the directory in which the figure is saved
- savename (str):
name under which the figure is saved
"""
title = "Tracked ROI examples"
roi_mask_df = pd.DataFrame.from_dict(roi_mask_df)
ax = roi_plots.plot_roi_masks_overlayed_with_proj(
roi_mask_df,
figpar,
title=title
)
fig = ax.reshape(-1)[0].figure
savedir, savename = helper_fcts.get_save_path(
figpar['fig_panel_analysis'], main_direc=figpar["dirs"]["figdir"]
)
fulldir = plot_util.savefig(
fig, savename, savedir, log_dir=True, **figpar["save"]
)
return fulldir, savename
#############################################
def plot_gabor_example_roi_usis(analyspar, sesspar, stimpar, basepar, idxpar,
permpar, extrapar, chosen_rois_df, figpar):
"""
plot_gabor_example_roi_usis(analyspar, sesspar, stimpar, basepar, idxpar,
permpar, extrapar, chosen_rois_info, figpar)
From dictionaries, plots traces for example ROIs.
Returns figure name and save directory path.
Required args:
- analyspar (dict):
dictionary with keys of AnalysPar namedtuple
- sesspar (dict):
dictionary with keys of SessPar namedtuple
- stimpar (dict):
dictionary with keys of StimPar namedtuple
- basepar (dict):
dictionary with keys of BasePar namedtuple
- idxpar (dict):
dictionary with keys of IdxPar namedtuple
- permpar (dict):
dictionary with keys of PermPar namedtuple
- extrapar (dict):
dictionary containing additional analysis parameters
["seed"] (int): seed
- chosen_rois_df (pd.DataFrame in dict format):
dataframe with a row for each ROI retained, and the following
columns, in addition to the basic sess_df columns:
- "target_idxs" (str): index values and significance aimed for
- "roi_idxs" (float): ROI index
- "roi_idx_percs" (float): ROI index percentile
- "roi_ns" (int): ROI number with in its session
- "roi_trace_stats" (list):
ROI trace stats (split x frames x stat (me, err))
- time_values (list):
values for each frame, in seconds
- figpar (dict):
dictionary containing the following figure parameter dictionaries
["init"] (dict): dictionary with figure initialization parameters
["save"] (dict): dictionary with figure saving parameters
["dirs"] (dict): dictionary with additional figure parameters
Returns:
- fulldir (Path):
final path of the directory in which the figure is saved
- savename (str):
name under which the figure is saved
"""
title = "Gabor sequences (example ROIs)"
chosen_rois_df = pd.DataFrame.from_dict(chosen_rois_df)
# identify target idx vals and sigs
target_idxs = chosen_rois_df["target_idxs"].unique()
target_idx_vals = [float(idx.split("_")[0]) for idx in target_idxs]
sorted_target_idxs = [
target_idxs[i] for i in np.argsort(target_idx_vals)[::-1]
]
ax = seq_plots.plot_sess_traces(
chosen_rois_df,
analyspar=analyspar,
sesspar=sesspar,
figpar=figpar,
trace_col="roi_trace_stats",
row_col="target_idxs",
row_order=sorted_target_idxs,
split=idxpar["feature"],
title=title,
size="small"
)
usi_plots.add_USI_boxes(ax, chosen_rois_df, sorted_target_idxs)
fig = ax.reshape(-1)[0].figure
savedir, savename = helper_fcts.get_save_path(
figpar['fig_panel_analysis'], main_direc=figpar["dirs"]["figdir"]
)
fulldir = plot_util.savefig(
fig, savename, savedir, log_dir=True, **figpar["save"]
)
return fulldir, savename
#############################################
def plot_gabor_example_roi_usi_sig(analyspar, sesspar, stimpar, basepar,
idxpar, permpar, extrapar, ex_idx_df,
figpar):
"""
plot_gabor_example_roi_usi_sig(analyspar, sesspar, stimpar, basepar,
idxpar, permpar, extrapar, ex_idx_df,
figpar)
From dictionaries, plots traces for example ROIs.
Returns figure name and save directory path.
Required args:
- analyspar (dict):
dictionary with keys of AnalysPar namedtuple
- sesspar (dict):
dictionary with keys of SessPar namedtuple
- stimpar (dict):
dictionary with keys of StimPar namedtuple
- basepar (dict):
dictionary with keys of BasePar namedtuple
- idxpar (dict):
dictionary with keys of IdxPar namedtuple
- permpar (dict):
dictionary with keys of PermPar namedtuple
- extrapar (dict):
dictionary containing additional analysis parameters
["seed"] (int): seed
- ex_idx_df (pd.DataFrame):
dataframe with a row for the example ROI, and the following
columns, in addition to the basic sess_df columns:
- roi_ns (int): ROI number in session
- roi_idxs (int): ROI feature index
- roi_idx_percs (float): ROI feature index percentile
- rand_idx_binned (list): bin counts for the random ROI indices
- bin_edges (list): first and last bin edge
- CI_lims (list): confidence interval limits (lo, hi)
- figpar (dict):
dictionary containing the following figure parameter dictionaries
["init"] (dict): dictionary with figure initialization parameters
["save"] (dict): dictionary with figure saving parameters
["dirs"] (dict): dictionary with additional figure parameters
Returns:
- fulldir (Path):
final path of the directory in which the figure is saved
- savename (str):
name under which the figure is saved
"""
title = "Gabor sequences: example sig. ROI"
ex_idx_df = pd.DataFrame.from_dict(ex_idx_df)
ax = usi_plots.plot_ex_roi_hists(
ex_idx_df,
sesspar=sesspar,
permpar=permpar,
figpar=figpar,
title=title
)
fig = ax.reshape(-1)[0].figure
savedir, savename = helper_fcts.get_save_path(
figpar['fig_panel_analysis'], main_direc=figpar["dirs"]["figdir"]
)
fulldir = plot_util.savefig(
fig, savename, savedir, log_dir=True, **figpar["save"]
)
return fulldir, savename
#############################################
def plot_gabor_roi_usi_distr(analyspar, sesspar, stimpar, basepar, idxpar,
permpar, extrapar, idx_df, figpar):
"""
plot_gabor_roi_usi_distr(analyspar, sesspar, stimpar, basepar, idxpar,
permpar, extrapar, idx_df, figpar)
From dictionaries, plots ROI index percentile distributions.
Returns figure name and save directory path.
Required args:
- analyspar (dict):
dictionary with keys of AnalysPar namedtuple
- sesspar (dict):
dictionary with keys of SessPar namedtuple
- stimpar (dict):
dictionary with keys of StimPar namedtuple
- basepar (dict):
dictionary with keys of BasePar namedtuple
- idxpar (dict):
dictionary with keys of IdxPar namedtuple
- permpar (dict):
dictionary with keys of PermPar namedtuple
- extrapar (dict):
dictionary containing additional analysis parameters
["n_bins"] (int): n_bins
["seed"] (int): seed
- idx_df (pd.DataFrame):
dataframe with one row per session/line/plane, and the following
columns, in addition to the basic sess_df columns:
- bin_edges (list): first and last bin edge
- CI_perc (list): confidence interval percentile limits (lo, hi)
- CI_edges (list): confidence interval limit values (lo, hi)
- n_pos (int): number of positive ROIs
- n_signif_lo (int): number of significant ROIs (low)
- n_signif_hi (int): number of significant ROIs (high)
- roi_idx_binned (list): bin counts for the ROI indices
- rand_idx_binned (list): bin counts for the random ROI indices
- perc_idx_binned (list): bin counts for the ROI index percentiles
- figpar (dict):
dictionary containing the following figure parameter dictionaries
["init"] (dict): dictionary with figure initialization parameters
["save"] (dict): dictionary with figure saving parameters
["dirs"] (dict): dictionary with additional figure parameters
Returns:
- fulldir (Path):
final path of the directory in which the figure is saved
- savename (str):
name under which the figure is saved
"""
title = "Gabor sequence percentiles"
idx_df = pd.DataFrame.from_dict(idx_df)
ax = usi_plots.plot_idxs(
idx_df,
sesspar=sesspar,
figpar=figpar,
plot="percs",
density=True,
n_bins=extrapar["n_bins"],
title=title,
size="small",
)
fig = ax.reshape(-1)[0].figure
savedir, savename = helper_fcts.get_save_path(
figpar['fig_panel_analysis'], main_direc=figpar["dirs"]["figdir"]
)
fulldir = plot_util.savefig(
fig, savename, savedir, log_dir=True, **figpar["save"]
)
return fulldir, savename
#############################################
def plot_gabor_roi_usi_sig(analyspar, sesspar, stimpar, basepar, idxpar,
permpar, extrapar, perc_sig_df, figpar):
"""
plot_gabor_roi_usi_sig(analyspar, sesspar, stimpar, basepar, idxpar,
permpar, extrapar, perc_sig_df, figpar)
From dictionaries, plots percentage of significant ROIs.
Returns figure name and save directory path.
Required args:
- analyspar (AnalysPar):
named tuple containing analysis parameters
- sesspar (SessPar):
named tuple containing session parameters
- stimpar (StimPar):
named tuple containing stimulus parameters
- basepar (BasePar):
named tuple containing baseline parameters
- idxpar (IdxPar):
named tuple containing index parameters
- permpar (PermPar):
named tuple containing permutation parameters
- extrapar (dict):
dictionary containing additional analysis parameters
["common_oris"] (bool): whether common orientations are used
["by_mouse"] (bool): whether data is by mouse
["seed"] (int): seed
- perc_sig_df (pd.DataFrame):
dataframe with one row per session/line/plane, and the following
columns, in addition to the basic sess_df columns:
- n_pos (int): number of positive ROIs
- n_signif_lo (int): number of significant ROIs (low)
- n_signif_hi (int): number of significant ROIs (high)
- perc_pos_idxs (num): percent positive ROIs (0-100)
- perc_pos_idxs_stds (num): bootstrapped standard deviation
over percent significant ROIs
- perc_pos_idxs_CIs (list): adjusted confidence interval for
percent pos. ROIs
- perc_pos_idxs_null_CIs (list): adjusted null CI for percent pos.
ROIs
- perc_pos_idxs_raw_p_vals (num): uncorrected p-value for percent
pos. ROIs
- perc_pos_idxs_p_vals (num): p-value for percent pos. ROIs,
corrected for multiple comparisons and tails
for sig in ["lo", "hi"]: for low vs high ROI indices
- perc_sig_{sig}_idxs (num): percent significant ROIs (0-100)
- perc_sig_{sig}_idxs_stds (num): bootstrapped standard deviation
over percent significant ROIs
- perc_sig_{sig}_idxs_CIs (list): adjusted CI for percent sig. ROIs
- perc_sig_{sig}_idxs_null_CIs (list): adjusted null CI for percent
sig. ROIs
- perc_sig_{sig}_idxs_raw_p_vals (num): uncorrected p-value for
percent sig. ROIs
- perc_sig_{sig}_idxs_p_vals (num): p-value for percent sig.
ROIs, corrected for multiple comparisons and tails
- figpar (dict):
dictionary containing the following figure parameter dictionaries
["init"] (dict): dictionary with figure initialization parameters
["save"] (dict): dictionary with figure saving parameters
["dirs"] (dict): dictionary with additional figure parameters
Returns:
- fulldir (Path):
final path of the directory in which the figure is saved
- savename (str):
name under which the figure is saved
"""
title = "Gabor sequence sig USIs"
if extrapar["common_oris"]:
title = f"{title} (common oris)".replace("sequence", "seq")
perc_sig_df = pd.DataFrame.from_dict(perc_sig_df)
ax = usi_plots.plot_perc_sig_usis(
perc_sig_df,
analyspar=analyspar,
permpar=permpar,
figpar=figpar,
by_mouse=extrapar["by_mouse"],
title=title,
)
fig = ax.reshape(-1)[0].figure
savedir, savename = helper_fcts.get_save_path(
figpar['fig_panel_analysis'], main_direc=figpar["dirs"]["figdir"]
)
fulldir = plot_util.savefig(
fig, savename, savedir, log_dir=True, **figpar["save"]
)
return fulldir, savename
#############################################
def plot_gabor_roi_usi_sig_common_oris(**kwargs):
"""
plot_gabor_roi_usi_sig_common_oris(**kwargs)
From dictionaries, plots percentage of significant ROIs, for data with
common orientations.
Returns figure name and save directory path.
Required args: see plot_gabor_roi_usi_sig()
Returns:
- fulldir (Path): final path of the directory in which the figure
is saved
- savename (str): name under which the figure is saved
"""
fulldir, savename = plot_gabor_roi_usi_sig(**kwargs)
return fulldir, savename
#############################################
def plot_pupil_run_responses(analyspar, sesspar, stimpar, basepar, extrapar,
trace_df, figpar):
"""
plot_pupil_run_responses(analyspar, sesspar, stimpar, basepar, extrapar,
trace_df, figpar)
From dictionaries, plots running and pupil responses.
Returns figure name and save directory path.
Required args:
- analyspar (AnalysPar):
named tuple containing analysis parameters
- sesspar (SessPar):
named tuple containing session parameters
- stimpar (StimPar):
named tuple containing stimulus parameters
- basepar (BasePar):
named tuple containing baseline parameters
- extrapar (dict):
dictionary containing additional analysis parameters
["split"] (str): data split
- trace_df (pd.DataFrame):
dataframe with one row per session number, and the following
columns, in addition to the basic sess_df columns:
- run_trace_stats (list):
running velocity trace stats (split x frames x stats (me, err))
- run_time_values (list):
values for each frame, in seconds
(only 0 to stimpar.post, unless split is "by_exp")
- pupil_trace_stats (list):
pupil diameter trace stats (split x frames x stats (me, err))
- pupil_time_values (list):
values for each frame, in seconds
(only 0 to stimpar.post, unless split is "by_exp")
- figpar (dict):
dictionary containing figure parameters
"""
title = "Running and pupil responses"
trace_df = pd.DataFrame.from_dict(trace_df)
ax = behav_plots.plot_pupil_run_trace_stats(
trace_df,
analyspar=analyspar,
figpar=figpar,
split=extrapar["split"],
title=title,
)
fig = ax.reshape(-1)[0].figure
savedir, savename = helper_fcts.get_save_path(
figpar['fig_panel_analysis'], main_direc=figpar["dirs"]["figdir"]
)
fulldir = plot_util.savefig(
fig, savename, savedir, log_dir=True, **figpar["save"]
)
return fulldir, savename
#############################################
def plot_pupil_run_block_diffs(analyspar, sesspar, stimpar, permpar, extrapar,
block_df, figpar):
"""
plot_pupil_run_block_diffs(analyspar, sesspar, stimpar, permpar, extrapar,
block_df, figpar)
From dictionaries, plots running and pupil block response differences.
Returns figure name and save directory path.
Required args:
- analyspar (AnalysPar):
named tuple containing analysis parameters
- sesspar (SessPar):
named tuple containing session parameters
- stimpar (StimPar):
named tuple containing stimulus parameters
- permpar (PermPar):
named tuple containing permutation parameters
- extrapar (dict):
dictionary containing additional analysis parameters
["seed"] (int): seed
- block_df (pd.DataFrame):
dataframe with one row per session/line/plane, and the following
columns, in addition to the basic sess_df columns:
- run_block_diffs (list):
running velocity differences per block
- run_raw_p_vals (float):
uncorrected p-value for differences within sessions
- run_p_vals (float):
p-value for differences within sessions,
corrected for multiple comparisons and tails
- pupil_block_diffs (list):
for pupil diameter differences per block
- pupil_raw_p_vals (list):
uncorrected p-value for differences within sessions
- pupil_p_vals (list):
p-value for differences within sessions,
corrected for multiple comparisons and tails
- figpar (dict):
dictionary containing figure parameters
"""
title = "Running and pupil block response differences"
block_df = pd.DataFrame.from_dict(block_df)
ax = behav_plots.plot_pupil_run_block_diffs(
block_df,
analyspar=analyspar,
permpar=permpar,
figpar=figpar,
title=title,
seed=extrapar["seed"],
)
fig = ax.reshape(-1)[0].figure
savedir, savename = helper_fcts.get_save_path(
figpar['fig_panel_analysis'], main_direc=figpar["dirs"]["figdir"]
)
fulldir = plot_util.savefig(
fig, savename, savedir, log_dir=True, **figpar["save"]
)
return fulldir, savename
#############################################
def plot_gabor_sequences_sess123(analyspar, sesspar, stimpar, basepar,
extrapar, trace_df, figpar):
"""
plot_gabor_sequences_sess123(analyspar, sesspar, stimpar, basepar,
extrapar, trace_df, figpar)
From dictionaries, plots Gabor sequences across sessions.
Returns figure name and save directory path.
Required args:
- analyspar (dict):
dictionary with keys of AnalysPar namedtuple
- sesspar (dict):
dictionary with keys of SessPar namedtuple
- stimpar (dict):
dictionary with keys of StimPar namedtuple
- basepar (dict):
dictionary with keys of BasePar namedtuple
- extrapar (dict):
dictionary containing additional analysis parameters
["split"] (str): data split
- trace_df (pd.DataFrame):
dataframe with one row per session/line/plane, and the following
columns, in addition to the basic sess_df columns:
- trace_stats (list):
trace stats (split x frames x stat (me, err))
- time_values (list):
values for each frame, in seconds
- figpar (dict):
dictionary containing the following figure parameter dictionaries
["init"] (dict): dictionary with figure initialization parameters
["save"] (dict): dictionary with figure saving parameters
["dirs"] (dict): dictionary with additional figure parameters
Returns:
- fulldir (Path): final path of the directory in which the figure
is saved
- savename (str): name under which the figure is saved
"""
title = "Gabor sequences"
trace_df = pd.DataFrame.from_dict(trace_df)
ax = seq_plots.plot_sess_traces(
trace_df,
analyspar=analyspar,
sesspar=sesspar,
figpar=figpar,
trace_col="trace_stats",
row_col="sess_ns",
split=extrapar["split"],
title=title,
size="reg"
)
fig = ax.reshape(-1)[0].figure
savedir, savename = helper_fcts.get_save_path(
figpar['fig_panel_analysis'], main_direc=figpar["dirs"]["figdir"]
)
fulldir = plot_util.savefig(
fig, savename, savedir, log_dir=True, **figpar["save"]
)
return fulldir, savename
#############################################
def plot_gabor_sequence_diffs_sess123(analyspar, sesspar, stimpar, basepar,
permpar, extrapar, diffs_df, figpar):
"""
plot_gabor_sequence_diffs_sess123(analyspar, sesspar, stimpar, basepar,
permpar, extrapar, diffs_df, figpar)
From dictionaries, plots Gabor sequences across sessions.
Returns figure name and save directory path.
Required args:
- analyspar (dict):
dictionary with keys of AnalysPar namedtuple
- sesspar (dict):
dictionary with keys of SessPar namedtuple
- stimpar (dict):
dictionary with keys of StimPar namedtuple
- basepar (dict):
dictionary with keys of BasePar namedtuple
- extrapar (dict):
dictionary containing additional analysis parameters
["split"] (str): data split
["seed"] (int): seed
- diffs_df (pd.DataFrame):
dataframe with one row per session/line/plane, and the following
columns, in addition to the basic sess_df columns:
- diff_stats (list): split difference stats (me, err)
- null_CIs (list): adjusted null CI for split differences
- raw_p_vals (float): uncorrected p-value for differences within
sessions
- p_vals (float): p-value for differences within sessions,
corrected for multiple comparisons and tails
for session comparisons, e.g. 1v2:
- raw_p_vals_{}v{} (float): uncorrected p-value for differences
between sessions
- p_vals_{}v{} (float): p-value for differences between sessions,
corrected for multiple comparisons and tails
- figpar (dict):
dictionary containing the following figure parameter dictionaries
["init"] (dict): dictionary with figure initialization parameters
["save"] (dict): dictionary with figure saving parameters
["dirs"] (dict): dictionary with additional figure parameters
Returns:
- fulldir (Path): final path of the directory in which the figure
is saved
- savename (str): name under which the figure is saved
"""
title = "Gabor sequence differences"
diffs_df = pd.DataFrame.from_dict(diffs_df)
ax = seq_plots.plot_sess_data(
diffs_df,
analyspar=analyspar,
sesspar=sesspar,
permpar=permpar,
figpar=figpar,
title=title,
wide=True
)
fig = ax.reshape(-1)[0].figure
savedir, savename = helper_fcts.get_save_path(
figpar['fig_panel_analysis'], main_direc=figpar["dirs"]["figdir"]
)
fulldir = plot_util.savefig(
fig, savename, savedir, log_dir=True, **figpar["save"]
)
return fulldir, savename
#############################################
def plot_gabor_rel_resp_sess123(analyspar, sesspar, stimpar, permpar, extrapar,
rel_resp_df, figpar):
"""
plot_gabor_rel_resp_sess123(analyspar, sesspar, stimpar, permpar, extrapar,
rel_resp_df, figpar)
From dictionaries, plots regular and unexpected Gabor responses, relative
to session 1.
Returns figure name and save directory path.
Required args:
- analyspar (dict):
dictionary with keys of AnalysPar namedtuple
- sesspar (dict):
dictionary with keys of SessPar namedtuple
- stimpar (dict):
dictionary with keys of StimPar namedtuple
- permpar (dict):
dictionary with keys of PermPar namedtuple
- extrapar (dict):
dictionary containing additional analysis parameters
["rel_sess"] (int): base session
["seed"] (int): seed
- rel_resp_df (pd.DataFrame):
dataframe with one row per session/line/plane, and the following
columns, in addition to the basic sess_df columns:
- rel_reg (list): data stats for regular data (me, err)
- rel_unexp (list): data stats for unexpected data (me, err)
for reg/exp/unexp data types, session comparisons, e.g. 1v2:
- {data_type}_raw_p_vals_{}v{} (float): uncorrected p-value for
data differences between sessions
- {data_type}_p_vals_{}v{} (float): p-value for data between
sessions, corrected for multiple comparisons and tails
- figpar (dict):
dictionary containing the following figure parameter dictionaries
["init"] (dict): dictionary with figure initialization parameters
["save"] (dict): dictionary with figure saving parameters
["dirs"] (dict): dictionary with additional figure parameters
Returns:
- fulldir (Path): final path of the directory in which the figure
is saved
- savename (str): name under which the figure is saved
"""
title = "Gabor ABC vs UG, relative to session 1"
rel_resp_df = pd.DataFrame.from_dict(rel_resp_df)
ax = seq_plots.plot_rel_resp_data(
rel_resp_df,
analyspar=analyspar,
sesspar=sesspar,
stimpar=stimpar,
permpar=permpar,
figpar=figpar,
title=title,
small=False,
)
fig = ax.reshape(-1)[0].figure
savedir, savename = helper_fcts.get_save_path(
figpar['fig_panel_analysis'], main_direc=figpar["dirs"]["figdir"]
)
fulldir = plot_util.savefig(
fig, savename, savedir, log_dir=True, **figpar["save"]
)
return fulldir, savename
#############################################
def plot_gabor_tracked_roi_usis_sess123(analyspar, sesspar, stimpar, basepar,
idxpar, extrapar, idx_only_df, figpar):
"""
plot_gabor_tracked_roi_usis_sess123(analyspar, sesspar, stimpar, basepar,
idxpar, extrapar, idx_only_df, figpar)
From dictionaries, plots tracked Gabor USIs across sessions.
Returns figure name and save directory path.
Required args:
- analyspar (dict):
dictionary with keys of AnalysPar namedtuple
- sesspar (dict):
dictionary with keys of SessPar namedtuple
- stimpar (dict):
dictionary with keys of StimPar namedtuple
- basepar (dict):
dictionary with keys of BasePar namedtuple
- idxpar (dict):
dictionary with keys of IdxPar namedtuple
- extrapar (dict):
dictionary containing additional analysis parameters
- idx_only_df (pd.DataFrame):
dataframe with one row per session, and the following columns, in
addition to the basic sess_df columns:
- roi_idxs (list): index for each ROI
- figpar (dict):
dictionary containing the following figure parameter dictionaries
["init"] (dict): dictionary with figure initialization parameters
["save"] (dict): dictionary with figure saving parameters
["dirs"] (dict): dictionary with additional figure parameters
Returns:
- fulldir (Path): final path of the directory in which the figure
is saved
- savename (str): name under which the figure is saved
"""
title = "Tracked Gabor USIs"
idx_only_df = pd.DataFrame.from_dict(idx_only_df)
ax = usi_plots.plot_tracked_idxs(
idx_only_df,
sesspar=sesspar,
figpar=figpar,
title=title,
wide=True
)
fig = ax.reshape(-1)[0].figure
savedir, savename = helper_fcts.get_save_path(
figpar['fig_panel_analysis'], main_direc=figpar["dirs"]["figdir"]
)
fulldir = plot_util.savefig(
fig, savename, savedir, log_dir=True, **figpar["save"]
)
return fulldir, savename
#############################################
def plot_gabor_tracked_roi_abs_usi_means_sess123(
analyspar, sesspar, stimpar, basepar, idxpar, permpar, extrapar,
idx_stats_df, figpar):
"""
plot_gabor_tracked_roi_abs_usi_means_sess123(
analyspar, sesspar, stimpar, basepar, idxpar, permpar, extrapar,
idx_stats_df, figpar)
From dictionaries, plots statistics for tracked Gabor USIs across sessions.
Returns figure name and save directory path.
Required args:
- analyspar (dict):
dictionary with keys of AnalysPar namedtuple
- sesspar (dict):
dictionary with keys of SessPar namedtuple
- stimpar (dict):
dictionary with keys of StimPar namedtuple
- basepar (dict):
dictionary with keys of BasePar namedtuple
- idxpar (dict):
dictionary with keys of IdxPar namedtuple
- permpar (dict):
dictionary with keys of PermPar namedtuple
- extrapar (dict):
dictionary containing additional analysis parameters
["absolute"] (bool): whether statistics are for absolute USIs
["by_mouse"] (bool): whether data is by mouse
["seed"] (int): seed
- idx_stats_df (pd.DataFrame):
dataframe with one row per (mouse/)session/line/plane, and the
following columns, in addition to the basic sess_df columns:
- roi_idxs or abs_roi_idxs (list):
USI statistics or absolute USI statistics
for session comparisons, e.g. 1v2 (if permpar is not None):
- raw_p_vals_{}v{} (float): uncorrected p-value for differences
between sessions
- p_vals_{}v{} (float): p-value for differences between sessions,
corrected for multiple comparisons and tails
- figpar (dict):
dictionary containing the following figure parameter dictionaries
["init"] (dict): dictionary with figure initialization parameters
["save"] (dict): dictionary with figure saving parameters
["dirs"] (dict): dictionary with additional figure parameters
Returns:
- fulldir (Path): final path of the directory in which the figure
is saved
- savename (str): name under which the figure is saved
"""
title = "Means of absolute tracked Gabor USIs"
idx_stats_df = pd.DataFrame.from_dict(idx_stats_df)
ax = usi_plots.plot_tracked_idx_stats(
idx_stats_df,
sesspar=sesspar,
figpar=figpar,
permpar=permpar,
absolute=extrapar["absolute"],
by_mouse=extrapar["by_mouse"],
title=title,
wide=True
)
fig = ax.reshape(-1)[0].figure
savedir, savename = helper_fcts.get_save_path(
figpar['fig_panel_analysis'], main_direc=figpar["dirs"]["figdir"]
)
fulldir = plot_util.savefig(
fig, savename, savedir, log_dir=True, **figpar["save"]
)
return fulldir, savename
#############################################
def plot_gabor_tracked_roi_usi_variances_sess123(
analyspar, sesspar, stimpar, basepar, idxpar, permpar, extrapar,
idx_stats_df, figpar):
"""
plot_gabor_tracked_roi_usi_variances_sess123(
analyspar, sesspar, stimpar, basepar, idxpar, permpar, extrapar,
idx_stats_df, figpar)
From dictionaries, plots variances for tracked Gabor USIs across sessions.
Returns figure name and save directory path.
Required args:
- analyspar (dict):
dictionary with keys of AnalysPar namedtuple
- sesspar (dict):
dictionary with keys of SessPar namedtuple
- stimpar (dict):
dictionary with keys of StimPar namedtuple
- basepar (dict):
dictionary with keys of BasePar namedtuple
- idxpar (dict):
dictionary with keys of IdxPar namedtuple
- permpar (dict):
dictionary with keys of PermPar namedtuple
- extrapar (dict):
dictionary containing additional analysis parameters
["absolute"] (bool): whether statistics are for absolute USIs
["by_mouse"] (bool): whether data is by mouse
["seed"] (int): seed
["stat"] (str): statistic used
- idx_stats_df (pd.DataFrame):
dataframe with one row per (mouse/)session/line/plane, and the
following columns, in addition to the basic sess_df columns:
- roi_idxs or abs_roi_idxs (list):
USI statistics or absolute USI statistics
for session comparisons, e.g. 1v2 (if permpar is not None):
- raw_p_vals_{}v{} (float): uncorrected p-value for differences
between sessions
- p_vals_{}v{} (float): p-value for differences between sessions,
corrected for multiple comparisons and tails
- figpar (dict):
dictionary containing the following figure parameter dictionaries
["init"] (dict): dictionary with figure initialization parameters
["save"] (dict): dictionary with figure saving parameters
["dirs"] (dict): dictionary with additional figure parameters
Returns:
- fulldir (Path): final path of the directory in which the figure
is saved
- savename (str): name under which the figure is saved
"""
title = "Variances of tracked Gabor USIs"
idx_stats_df = pd.DataFrame.from_dict(idx_stats_df)
ax = usi_plots.plot_tracked_idx_stats(
idx_stats_df,
sesspar=sesspar,
figpar=figpar,
permpar=permpar,
absolute=extrapar["absolute"],
by_mouse=extrapar["by_mouse"],
bootstr_err=True,
title=title,
wide=True
)
fig = ax.reshape(-1)[0].figure
savedir, savename = helper_fcts.get_save_path(
figpar['fig_panel_analysis'], main_direc=figpar["dirs"]["figdir"]
)
fulldir = plot_util.savefig(
fig, savename, savedir, log_dir=True, **figpar["save"]
)
return fulldir, savename
#############################################
def plot_gabor_Dori_decoding_sess123(analyspar, sesspar, stimpar, logregpar,
permpar, extrapar, scores_df, figpar):
"""
plot_gabor_Dori_decoding_sess123(analyspar, sesspar, stimpar, logregpar,
permpar, extrapar, scores_df, figpar)
From dictionaries, plots Gabor D orientation decoding scores across
sessions.
Returns figure name and save directory path.
Required args:
- analyspar (dict):
dictionary with keys of AnalysPar namedtuple
- sesspar (dict):
dictionary with keys of SessPar namedtuple
- stimpar (dict):
dictionary with keys of StimPar namedtuple
- logregpar (dict):
dictionary with keys of LogRegPar namedtuple
- permpar (dict):
dictionary with keys of PermPar namedtuple
- extrapar (dict):
dictionary containing additional analysis parameters
["n_splits"] (int): number of data splits
["seed"] (int): seed
- scores_df (pd.DataFrame):
dataframe with logistic regression score statistics, shuffled score
confidence intervals, and test set p-values for each
line/plane/session, in addition to the basic sess_df columns
- figpar (dict):
dictionary containing the following figure parameter dictionaries
["init"] (dict): dictionary with figure initialization parameters
["save"] (dict): dictionary with figure saving parameters
["dirs"] (dict): dictionary with additional figure parameters
Returns:
- fulldir (Path): final path of the directory in which the figure
is saved
- savename (str): name under which the figure is saved
"""
comp_str = logregpar["comp"].replace("ori", " orientation")
title = f"{comp_str} decoding (test set)"
scores_df = pd.DataFrame.from_dict(scores_df)
ax = misc_plots.plot_decoder_data(
scores_df,
analyspar=analyspar,
sesspar=sesspar,
permpar=permpar,
figpar=figpar,
title=title,
)
fig = ax.reshape(-1)[0].figure
savedir, savename = helper_fcts.get_save_path(
figpar['fig_panel_analysis'], main_direc=figpar["dirs"]["figdir"]
)
fulldir = plot_util.savefig(
fig, savename, savedir, log_dir=True, **figpar["save"]
)
return fulldir, savename
#############################################
def plot_gabor_Uori_decoding_sess123(analyspar, sesspar, stimpar, logregpar,
permpar, extrapar, scores_df, figpar):
"""
plot_gabor_Uori_decoding_sess123(analyspar, sesspar, stimpar, logregpar,
permpar, extrapar, scores_df, figpar)
From dictionaries, plots Gabor U orientation decoding scores across
sessions.
Returns figure name and save directory path.
Required args:
- analyspar (dict):
dictionary with keys of AnalysPar namedtuple
- sesspar (dict):
dictionary with keys of SessPar namedtuple
- stimpar (dict):
dictionary with keys of StimPar namedtuple
- logregpar (dict):
dictionary with keys of LogRegPar namedtuple
- permpar (dict):
dictionary with keys of PermPar namedtuple
- extrapar (dict):
dictionary containing additional analysis parameters
["n_splits"] (int): number of data splits
["seed"] (int): seed
- scores_dfs (pd.DataFrame):
dataframe with logistic regression score statistics, shuffled score
confidence intervals, and test set p-values for each
line/plane/session, in addition to the basic sess_df columns
- figpar (dict):
dictionary containing the following figure parameter dictionaries
["init"] (dict): dictionary with figure initialization parameters
["save"] (dict): dictionary with figure saving parameters
["dirs"] (dict): dictionary with additional figure parameters
Returns:
- fulldir (Path): final path of the directory in which the figure
is saved
- savename (str): name under which the figure is saved
"""
comp_str = logregpar["comp"].replace("ori", " orientation")
title = f"{comp_str} decoding (test set)"
scores_df = pd.DataFrame.from_dict(scores_df)
ax = misc_plots.plot_decoder_data(
scores_df,
analyspar=analyspar,
sesspar=sesspar,
permpar=permpar,
figpar=figpar,
title=title,
)
fig = ax.reshape(-1)[0].figure
savedir, savename = helper_fcts.get_save_path(
figpar['fig_panel_analysis'], main_direc=figpar["dirs"]["figdir"]
)
fulldir = plot_util.savefig(
fig, savename, savedir, log_dir=True, **figpar["save"]
)
return fulldir, savename
#############################################
def plot_gabor_corrs_sess123_comps(analyspar, sesspar, stimpar, basepar,
idxpar, permpar, extrapar, idx_corr_df,
figpar):
"""
plot_gabor_corrs_sess123_comps(analyspar, sesspar, stimpar, basepar,
idxpar, permpar, extrapar, idx_corr_df,
figpar))
From dictionaries, plots ROI USI correlations across sessions for tracked
Gabor USIs.
Returns figure name and save directory path.
Required args:
- analyspar (dict):
dictionary with keys of AnalysPar namedtuple
- sesspar (dict):
dictionary with keys of SessPar namedtuple
- stimpar (dict):
dictionary with keys of StimPar namedtuple
- basepar (dict):
dictionary with keys of BasePar namedtuple
- idxpar (dict):
dictionary with keys of IdxPar namedtuple
- permpar (dict):
dictionary with keys of PermPar namedtuple
- extrapar (dict):
dictionary containing additional analysis parameters
["consec_only"] (bool): if True, only consecutive sessions are
correlated
["corr_type"] (str): type of correlation ("corr" or "R_sqr")
["permute"] (str): type of permutations used
("sess", "tracking", "all")
["seed"] (int): seed
["sig_only"] (bool): if True, only ROIs with significant USIs are
retained
- idx_corr_df (pd.DataFrame):
dataframe with one row per line/plane, and the
following columns, in addition to the basic sess_df columns:
for session comparisons, e.g. 1v2
- {}v{}{norm_str}_corrs (float): intersession ROI index correlations
- {}v{}{norm_str}_corr_stds (float): bootstrapped intersession ROI
index correlation standard deviation
- {}v{}_null_CIs (list): adjusted null CI for intersession ROI
index correlations
- {}v{}_raw_p_vals (float): p-value for intersession correlations
- {}v{}_p_vals (float): p-value for intersession correlations,
corrected for multiple comparisons and tails
- figpar (dict):
dictionary containing the following figure parameter dictionaries
["init"] (dict): dictionary with figure initialization parameters
["save"] (dict): dictionary with figure saving parameters
["dirs"] (dict): dictionary with additional figure parameters
Returns:
- fulldir (Path): final path of the directory in which the figure
is saved
- savename (str): name under which the figure is saved
"""
title = "Correlations for Gabor USIs"
idx_corr_df = pd.DataFrame.from_dict(idx_corr_df)
ax = corr_plots.plot_idx_correlations(
idx_corr_df,
permpar=permpar,
figpar=figpar,
permute=extrapar["permute"],
corr_type=extrapar["corr_type"],
title=title,
small=False,
)
fig = ax.reshape(-1)[0].figure
savedir, savename = helper_fcts.get_save_path(
figpar['fig_panel_analysis'], main_direc=figpar["dirs"]["figdir"]
)
fulldir = plot_util.savefig(
fig, savename, savedir, log_dir=True, **figpar["save"]
)
return fulldir, savename
#############################################
def plot_roi_overlays_sess123(analyspar, sesspar, extrapar, roi_mask_df, figpar):
"""
plot_roi_overlays_sess123(analyspar, sesspar, extrapar, roi_mask_df, figpar)
From dictionaries, plots tracked ROI masks.
Returns figure name and save directory path.
Required args:
- analyspar (dict):
dictionary with keys of AnalysPar namedtuple
- sesspar (dict):
dictionary with keys of SessPar namedtuple
- extrapar (dict):
dictionary containing additional analysis parameters
- roi_mask_df (pd.DataFrame in dict format):
dataframe with a row for each mouse, and the following
columns, in addition to the basic sess_df columns:
- "registered_roi_mask_idxs" (list): list of mask indices,
registered across sessions, for each session
(flattened across ROIs) ((sess, hei, wid) x val)
- "roi_mask_shapes" (list): shape into which ROI mask indices index
(sess x hei x wid)
- figpar (dict):
dictionary containing the following figure parameter dictionaries
["init"] (dict): dictionary with figure initialization parameters
["save"] (dict): dictionary with figure saving parameters
["dirs"] (dict): dictionary with additional figure parameters
Returns:
- fulldir (Path):
final path of the directory in which the figure is saved
- savename (str):
name under which the figure is saved
"""
title = "Tracked ROI examples (full)"
roi_mask_df = pd.DataFrame.from_dict(roi_mask_df)
ax = roi_plots.plot_roi_masks_overlayed(
roi_mask_df,
figpar=figpar,
title=title,
)
fig = ax.reshape(-1)[0].figure
savedir, savename = helper_fcts.get_save_path(
figpar['fig_panel_analysis'], main_direc=figpar["dirs"]["figdir"]
)
fulldir = plot_util.savefig(
fig, savename, savedir, log_dir=True, **figpar["save"]
)
return fulldir, savename
#############################################
def plot_roi_overlays_sess123_enlarged(analyspar, sesspar, extrapar,
roi_mask_df, figpar):
"""
plot_roi_overlays_sess123_enlarged(analyspar, sesspar, extrapar,
roi_mask_df, figpar)
From dictionaries, plots enlarged tracked ROI masks.
Returns figure name and save directory path.
Required args:
- analyspar (dict):
dictionary with keys of AnalysPar namedtuple
- sesspar (dict):
dictionary with keys of SessPar namedtuple
- extrapar (dict):
dictionary containing additional analysis parameters
- roi_mask_df (pd.DataFrame in dict format):
dataframe with a row for each mouse, and the following
columns, in addition to the basic sess_df columns:
- "registered_roi_mask_idxs" (list): list of mask indices,
registered across sessions, for each session
(flattened across ROIs) ((sess, hei, wid) x val)
- "roi_mask_shapes" (list): shape into which ROI mask indices index
(sess x hei x wid)
- "crop_fact" (num): factor by which to crop masks (> 1)
- "shift_prop_hei" (float): proportion by which to shift cropped
mask center vertically from left edge [0, 1]
- "shift_prop_wid" (float): proportion by which to shift cropped
mask center horizontally from left edge [0, 1]
- figpar (dict):
dictionary containing the following figure parameter dictionaries
["init"] (dict): dictionary with figure initialization parameters
["save"] (dict): dictionary with figure saving parameters
["dirs"] (dict): dictionary with additional figure parameters
Returns:
- fulldir (Path):
final path of the directory in which the figure is saved
- savename (str):
name under which the figure is saved
"""
title = "Tracked ROI examples (enlarged)"
roi_mask_df = pd.DataFrame.from_dict(roi_mask_df)
ax = roi_plots.plot_roi_masks_overlayed(
roi_mask_df,
figpar=figpar,
title=title,
)
fig = ax.reshape(-1)[0].figure
savedir, savename = helper_fcts.get_save_path(
figpar['fig_panel_analysis'], main_direc=figpar["dirs"]["figdir"]
)
fulldir = plot_util.savefig(
fig, savename, savedir, log_dir=True, **figpar["save"]
)
return fulldir, savename
#############################################
def plot_snrs_sess123(analyspar, sesspar, extrapar, snr_df, figpar):
"""
plot_snrs_sess123(analyspar, sesspar, extrapar, snr_df, figpar)
Plots ROI SNRs.
Returns figure name and save directory path.
Required args:
- analyspar (dict):
dictionary with keys of AnalysPar namedtuple
- sesspar (dict):
dictionary with keys of SessPar namedtuple
- extrapar (dict):
dictionary containing additional analysis parameters
- snr_df (pd.DataFrame in dict format):
dataframe with ROI SNRs under "snrs" for each
session, in addition to the basic sess_df columns
- figpar (dict):
dictionary containing the following figure parameter dictionaries
["init"] (dict): dictionary with figure initialization parameters
["save"] (dict): dictionary with figure saving parameters
["dirs"] (dict): dictionary with additional figure parameters
Returns:
- fulldir (Path):
final path of the directory in which the figure is saved
- savename (str):
name under which the figure is saved
"""
title = "ROI SNRs"
snr_df = pd.DataFrame.from_dict(snr_df)
ax = misc_plots.plot_snr_sigmeans_nrois(
snr_df,
figpar=figpar,
datatype="snrs",
title=title
)
fig = ax.reshape(-1)[0].figure
savedir, savename = helper_fcts.get_save_path(
figpar['fig_panel_analysis'], main_direc=figpar["dirs"]["figdir"]
)
fulldir = plot_util.savefig(
fig, savename, savedir, log_dir=True, **figpar["save"]
)
return fulldir, savename
#############################################
def plot_mean_signal_sess123(analyspar, sesspar, extrapar, sig_mean_df, figpar):
"""
plot_mean_signal_sess123(analyspar, sesspar, extrapar, sig_mean_df, figpar)
Plots ROI signal means.
Returns figure name and save directory path.
Required args:
- analyspar (dict):
dictionary with keys of AnalysPar namedtuple
- sesspar (dict):
dictionary with keys of SessPar namedtuple
- extrapar (dict):
dictionary containing additional analysis parameters
- sig_mean_df (pd.DataFrame in dict format):
dataframe with ROI signal means under "signal_means" for each
session, in addition to the basic sess_df columns
- figpar (dict):
dictionary containing the following figure parameter dictionaries
["init"] (dict): dictionary with figure initialization parameters
["save"] (dict): dictionary with figure saving parameters
["dirs"] (dict): dictionary with additional figure parameters
Returns:
- fulldir (Path):
final path of the directory in which the figure is saved
- savename (str):
name under which the figure is saved
"""
title = "Mean ROI signals"
sig_mean_df = pd.DataFrame.from_dict(sig_mean_df)
ax = misc_plots.plot_snr_sigmeans_nrois(
sig_mean_df,
figpar=figpar,
datatype="signal_means",
title=title
)
fig = ax.reshape(-1)[0].figure
savedir, savename = helper_fcts.get_save_path(
figpar['fig_panel_analysis'], main_direc=figpar["dirs"]["figdir"]
)
fulldir = plot_util.savefig(
fig, savename, savedir, log_dir=True, **figpar["save"]
)
return fulldir, savename
#############################################
def plot_nrois_sess123(analyspar, sesspar, extrapar, nrois_df, figpar):
"""
plot_nrois_sess123(analyspar, sesspar, extrapar, nrois_df, figpar)
Plots number of ROIs.
Returns figure name and save directory path.
Required args:
- analyspar (dict):
dictionary with keys of AnalysPar namedtuple
- sesspar (dict):
dictionary with keys of SessPar namedtuple
- extrapar (dict):
dictionary containing additional analysis parameters
- nrois_df (pd.DataFrame in dict format):
dataframe with number of ROIs, in addition to the basic sess_df
columns.
- figpar (dict):
dictionary containing the following figure parameter dictionaries
["init"] (dict): dictionary with figure initialization parameters
["save"] (dict): dictionary with figure saving parameters
["dirs"] (dict): dictionary with additional figure parameters
Returns:
- fulldir (Path):
final path of the directory in which the figure is saved
- savename (str):
name under which the figure is saved
"""
title = "Number of ROIs"
nrois_df = pd.DataFrame.from_dict(nrois_df)
ax = misc_plots.plot_snr_sigmeans_nrois(
nrois_df,
figpar=figpar,
datatype="nrois",
title=title
)
fig = ax.reshape(-1)[0].figure
savedir, savename = helper_fcts.get_save_path(
figpar['fig_panel_analysis'], main_direc=figpar["dirs"]["figdir"]
)
fulldir = plot_util.savefig(
fig, savename, savedir, log_dir=True, **figpar["save"]
)
return fulldir, savename
#############################################
def plot_roi_corr_sess123(analyspar, sesspar, extrapar, corr_df, figpar):
"""
plot_roi_corr_sess123(analyspar, sesspar, extrapar, corr_df, figpar)
Plots ROI correlations.
Returns figure name and save directory path.
Required args:
- analyspar (dict):
dictionary with keys of AnalysPar namedtuple
- sesspar (dict):
dictionary with keys of SessPar namedtuple
- extrapar (dict):
dictionary containing additional analysis parameters
["rolling_win"] (int): window used in rolling mean over individual
traces
- corr_df (pd.DataFrame in dict format):
dataframe with one row per session/line/plane, and the
following columns, in addition to the basic sess_df columns:
- bin_edges (list): first and last bin edge
- corrs_binned (list): number of correlation values per bin
- figpar (dict):
dictionary containing the following figure parameter dictionaries
["init"] (dict): dictionary with figure initialization parameters
["save"] (dict): dictionary with figure saving parameters
["dirs"] (dict): dictionary with additional figure parameters
Returns:
- fulldir (Path):
final path of the directory in which the figure is saved
- savename (str):
name under which the figure is saved
"""
title = "ROI correlations"
corr_df = pd.DataFrame.from_dict(corr_df)
ax = misc_plots.plot_roi_correlations(
corr_df,
figpar=figpar,
title=title
)
fig = ax.reshape(-1)[0].figure
savedir, savename = helper_fcts.get_save_path(
figpar['fig_panel_analysis'], main_direc=figpar["dirs"]["figdir"]
)
fulldir = plot_util.savefig(
fig, savename, savedir, log_dir=True, **figpar["save"]
)
return fulldir, savename
#############################################
def plot_stimulus_onset_sess123(analyspar, sesspar, stimpar, basepar, extrapar,
trace_df, figpar):
"""
plot_stimulus_onset_sess123(analyspar, sesspar, stimpar, basepar, extrapar,
trace_df, figpar)
From dictionaries, plots stimulus onset sequences across sessions.
Returns figure name and save directory path.
Required args:
- analyspar (dict):
dictionary with keys of AnalysPar namedtuple
- sesspar (dict):
dictionary with keys of SessPar namedtuple
- stimpar (dict):
dictionary with keys of StimPar namedtuple
- basepar (dict):
dictionary with keys of BasePar namedtuple
- extrapar (dict):
dictionary containing additional analysis parameters
["split"] (str): data split
- trace_df (pd.DataFrame):
dataframe with one row per session/line/plane, and the following
columns, in addition to the basic sess_df columns:
- trace_stats (list):
trace stats (split x frames x stat (me, err))
- time_values (list):
values for each frame, in seconds (only 0 to stimpar.post)
- figpar (dict):
dictionary containing the following figure parameter dictionaries
["init"] (dict): dictionary with figure initialization parameters
["save"] (dict): dictionary with figure saving parameters
["dirs"] (dict): dictionary with additional figure parameters
Returns:
- fulldir (Path): final path of the directory in which the figure
is saved
- savename (str): name under which the figure is saved
"""
title = "Stimulus onset sequences"
trace_df = pd.DataFrame.from_dict(trace_df)
ax = seq_plots.plot_sess_traces(
trace_df,
analyspar=analyspar,
sesspar=sesspar,
figpar=figpar,
trace_col="trace_stats",
row_col="sess_ns",
split=extrapar["split"],
title=title,
size="reg"
)
fig = ax.reshape(-1)[0].figure
savedir, savename = helper_fcts.get_save_path(
figpar['fig_panel_analysis'], main_direc=figpar["dirs"]["figdir"]
)
fulldir = plot_util.savefig(
fig, savename, savedir, log_dir=True, **figpar["save"]
)
return fulldir, savename
#############################################
def plot_gabor_ex_roi_responses_sess1(analyspar, sesspar, stimpar, basepar,
extrapar, ex_traces_df, figpar):
"""
plot_gabor_ex_roi_responses_sess1(sessions, analyspar, sesspar, stimpar,
basepar, extrapar, ex_traces_df, figpar)
From dictionaries, plots example ROI responses to Gabor sequences.
Returns figure name and save directory path.
Required args:
- analyspar (dict):
dictionary with keys of AnalysPar namedtuple
- sesspar (dict):
dictionary with keys of SessPar namedtuple
- stimpar (dict):
dictionary with keys of StimPar namedtuple
- basepar (dict):
dictionary with keys of BasePar namedtuple
- extrapar (dict):
dictionary containing additional analysis parameters
["n_ex"] (int): number of example ROIs retained per line/plane
["rolling_win"] (int): window used in rolling mean over individual
trial traces
["seed"] (int): seed
- ex_traces_df (pd.DataFrame):
dataframe with a row for each ROI, and the following columns,
in addition to the basic sess_df columns:
- time_values (list): values for each frame, in seconds
- roi_ns (list): selected ROI number
- traces_sm (list): selected ROI sequence traces, smoothed, with
dims: seq x frames
- trace_stat (list): selected ROI trace mean or median
- figpar (dict):
dictionary containing the following figure parameter dictionaries
["init"] (dict): dictionary with figure initialization parameters
["save"] (dict): dictionary with figure saving parameters
["dirs"] (dict): dictionary with additional figure parameters
Returns:
- fulldir (Path): final path of the directory in which the figure
is saved
- savename (str): name under which the figure is saved
"""
title = "Example ROI responses to Gabor sequences"
ex_traces_df = pd.DataFrame.from_dict(ex_traces_df)
ax = seq_plots.plot_ex_gabor_traces(
ex_traces_df,
stimpar=stimpar,
figpar=figpar,
title=title,
)
fig = ax.reshape(-1)[0].figure
savedir, savename = helper_fcts.get_save_path(
figpar['fig_panel_analysis'], main_direc=figpar["dirs"]["figdir"]
)
fulldir = plot_util.savefig(
fig, savename, savedir, log_dir=True, **figpar["save"]
)
return fulldir, savename
#############################################
def plot_gabor_roi_usi_sig_by_mouse(analyspar, sesspar, stimpar, basepar,
idxpar, permpar, extrapar, perc_sig_df,
figpar):
"""
plot_gabor_roi_usi_sig_by_mouse(analyspar, sesspar, stimpar, basepar,
idxpar, permpar, extrapar, perc_sig_df,
figpar)
From dictionaries, plots percentage significant Gabor USIs per mouse.
Returns figure name and save directory path.
Required args:
- analyspar (dict):
dictionary with keys of AnalysPar namedtuple
- sesspar (dict):
dictionary with keys of SessPar namedtuple
- stimpar (dict):
dictionary with keys of StimPar namedtuple
- basepar (dict):
dictionary with keys of BasePar namedtuple
- idxpar (dict):
dictionary with keys of IdxPar namedtuple
- permpar (dict):
dictionary with keys of PermPar namedtuple
- extrapar (dict):
dictionary containing additional analysis parameters
["by_mouse"] (bool): whether data is by mouse
- perc_sig_df (pd.DataFrame):
dataframe with one row per mouse/session/line/plane, and the
following columns, in addition to the basic sess_df columns:
- n_pos (int): number of positive ROIs
- n_signif_lo (int): number of significant ROIs (low)
- n_signif_hi (int): number of significant ROIs (high)
- perc_pos_idxs (num): percent positive ROIs (0-100)
- perc_pos_idxs_stds (num): bootstrapped standard deviation
over percent significant ROIs
- perc_pos_idxs_CIs (list): adjusted confidence interval for
percent pos. ROIs
- perc_pos_idxs_null_CIs (list): adjusted null CI for percent pos.
ROIs
- perc_pos_idxs_raw_p_vals (num): uncorrected p-value for percent
pos. ROIs
- perc_pos_idxs_p_vals (num): p-value for percent pos. ROIs,
corrected for multiple comparisons and tails
for sig in ["lo", "hi"]: for low vs high ROI indices
- perc_sig_{sig}_idxs (num): percent significant ROIs (0-100)
- perc_sig_{sig}_idxs_stds (num): bootstrapped standard deviation
over percent significant ROIs
- perc_sig_{sig}_idxs_CIs (list): adjusted CI for percent sig. ROIs
- perc_sig_{sig}_idxs_null_CIs (list): adjusted null CI for percent
sig. ROIs
- perc_sig_{sig}_idxs_raw_p_vals (num): uncorrected p-value for
percent sig. ROIs
- perc_sig_{sig}_idxs_p_vals (num): p-value for percent sig.
ROIs, corrected for multiple comparisons and tails
- figpar (dict):
dictionary containing the following figure parameter dictionaries
["init"] (dict): dictionary with figure initialization parameters
["save"] (dict): dictionary with figure saving parameters
["dirs"] (dict): dictionary with additional figure parameters
Returns:
- fulldir (Path):
final path of the directory in which the figure is saved
- savename (str):
name under which the figure is saved
"""
title = "Gabor sequence sig USIs (by mouse)"
perc_sig_df = pd.DataFrame.from_dict(perc_sig_df)
ax = usi_plots.plot_perc_sig_usis(
perc_sig_df,
analyspar=analyspar,
permpar=permpar,
figpar=figpar,
by_mouse=extrapar["by_mouse"],
title=title,
)
fig = ax.reshape(-1)[0].figure
savedir, savename = helper_fcts.get_save_path(
figpar['fig_panel_analysis'], main_direc=figpar["dirs"]["figdir"]
)
fulldir = plot_util.savefig(
fig, savename, savedir, log_dir=True, **figpar["save"]
)
return fulldir, savename
#############################################
def plot_gabor_rel_resp_tracked_rois_sess123(analyspar, sesspar, stimpar,
permpar, extrapar, rel_resp_df,
figpar):
"""
plot_gabor_rel_resp_tracked_rois_sess123(analyspar, sesspar, stimpar,
permpar, extrapar, rel_resp_df,
figpar)
From dictionaries, plots regular and unexpected Gabor responses, relative
to session 1, for tracked ROIs.
Returns figure name and save directory path.
Required args:
- analyspar (dict):
dictionary with keys of AnalysPar namedtuple
- sesspar (dict):
dictionary with keys of SessPar namedtuple
- stimpar (dict):
dictionary with keys of StimPar namedtuple
- permpar (dict):
dictionary with keys of PermPar namedtuple
- extrapar (dict):
dictionary containing additional analysis parameters
["rel_sess"]: base session
["seed"] (int): seed
- rel_resp_df (pd.DataFrame):
dataframe with one row per session/line/plane, and the following
columns, in addition to the basic sess_df columns:
- rel_reg (list): data stats for regular data (me, err)
- rel_unexp (list): data stats for unexpected data (me, err)
for reg/exp/unexp data types, session comparisons, e.g. 1v2:
- {data_type}_raw_p_vals_{}v{} (float): uncorrected p-value for
data differences between sessions
- {data_type}_p_vals_{}v{} (float): p-value for data between
sessions, corrected for multiple comparisons and tails
- figpar (dict):
dictionary containing the following figure parameter dictionaries
["init"] (dict): dictionary with figure initialization parameters
["save"] (dict): dictionary with figure saving parameters
["dirs"] (dict): dictionary with additional figure parameters
Returns:
- fulldir (Path): final path of the directory in which the figure
is saved
- savename (str): name under which the figure is saved
"""
title = "Gabor ABC vs UG, relative to session 1\n(tracked ROIs)"
rel_resp_df = pd.DataFrame.from_dict(rel_resp_df)
ax = seq_plots.plot_rel_resp_data(
rel_resp_df,
analyspar=analyspar,
sesspar=sesspar,
stimpar=stimpar,
permpar=permpar,
figpar=figpar,
title=title,
small=True
)
fig = ax.reshape(-1)[0].figure
savedir, savename = helper_fcts.get_save_path(
figpar['fig_panel_analysis'], main_direc=figpar["dirs"]["figdir"]
)
fulldir = plot_util.savefig(
fig, savename, savedir, log_dir=True, **figpar["save"]
)
return fulldir, savename
#############################################
def plot_gabor_tracked_roi_abs_usi_means_sess123_by_mouse(
analyspar, sesspar, stimpar, basepar, idxpar, extrapar,
idx_stats_df, figpar):
"""
plot_gabor_tracked_roi_abs_usi_means_sess123_by_mouse(
analyspar, sesspar, stimpar, basepar, idxpar, extrapar,
idx_stats_df, figpar)
From dictionaries, plots statistics for tracked Gabor USIs across sessions.
Returns figure name and save directory path.
Required args:
- analyspar (dict):
dictionary with keys of AnalysPar namedtuple
- sesspar (dict):
dictionary with keys of SessPar namedtuple
- stimpar (dict):
dictionary with keys of StimPar namedtuple
- basepar (dict):
dictionary with keys of BasePar namedtuple
- idxpar (dict):
dictionary with keys of IdxPar namedtuple
- extrapar (dict):
dictionary containing additional analysis parameters
["absolute"] (bool): whether statistics are for absolute USIs
["by_mouse"] (bool): whether data is by mouse
["seed"] (int): seed
- idx_stats_df (pd.DataFrame):
dataframe with one row per (mouse/)session/line/plane, and the
following columns, in addition to the basic sess_df columns:
- roi_idxs or abs_roi_idxs (list):
USI statistics or absolute USI statistics
for session comparisons, e.g. 1v2 (if permpar is not None):
- raw_p_vals_{}v{} (float): uncorrected p-value for differences
between sessions
- p_vals_{}v{} (float): p-value for differences between sessions,
corrected for multiple comparisons and tails
- figpar (dict):
dictionary containing the following figure parameter dictionaries
["init"] (dict): dictionary with figure initialization parameters
["save"] (dict): dictionary with figure saving parameters
["dirs"] (dict): dictionary with additional figure parameters
Returns:
- fulldir (Path): final path of the directory in which the figure
is saved
- savename (str): name under which the figure is saved
"""
title = "Means of absolute tracked Gabor USIs\n(by mouse)"
idx_stats_df = pd.DataFrame.from_dict(idx_stats_df)
ax = usi_plots.plot_tracked_idx_stats(
idx_stats_df,
sesspar=sesspar,
figpar=figpar,
absolute=extrapar["absolute"],
title=title,
between_sess_sig=False,
by_mouse=extrapar["by_mouse"],
wide=False
)
fig = ax.reshape(-1)[0].figure
savedir, savename = helper_fcts.get_save_path(
figpar['fig_panel_analysis'], main_direc=figpar["dirs"]["figdir"]
)
fulldir = plot_util.savefig(
fig, savename, savedir, log_dir=True, **figpar["save"]
)
return fulldir, savename
#############################################
def plot_visual_flow_sequences_sess123(analyspar, sesspar, stimpar, basepar,
extrapar, trace_df, figpar):
"""
plot_visual_flow_sequences_sess123(analyspar, sesspar, stimpar, basepar,
extrapar, trace_df, figpar)
From dictionaries, plots visual flow sequences across sessions.
Returns figure name and save directory path.
Required args:
- analyspar (dict):
dictionary with keys of AnalysPar namedtuple
- sesspar (dict):
dictionary with keys of SessPar namedtuple
- stimpar (dict):
dictionary with keys of StimPar namedtuple
- basepar (dict):
dictionary with keys of BasePar namedtuple
- extrapar (dict):
dictionary containing additional analysis parameters
["split"] (str): data split
- trace_df (pd.DataFrame):
dataframe with a row for each session, and the following
columns, in addition to the basic sess_df columns:
- trace_stats (list):
trace stats (split x frames x stat (me, err))
- time_values (list):
values for each frame, in seconds (only 0 to stimpar.post)
- figpar (dict):
dictionary containing the following figure parameter dictionaries
["init"] (dict): dictionary with figure initialization parameters
["save"] (dict): dictionary with figure saving parameters
["dirs"] (dict): dictionary with additional figure parameters
Returns:
- fulldir (Path): final path of the directory in which the figure
is saved
- savename (str): name under which the figure is saved
"""
title = "Visual flow sequences"
trace_df = pd.DataFrame.from_dict(trace_df)
ax = seq_plots.plot_sess_traces(
trace_df,
analyspar=analyspar,
sesspar=sesspar,
figpar=figpar,
trace_col="trace_stats",
row_col="sess_ns",
split=extrapar["split"],
title=title,
size="reg"
)
fig = ax.reshape(-1)[0].figure
savedir, savename = helper_fcts.get_save_path(
figpar['fig_panel_analysis'], main_direc=figpar["dirs"]["figdir"]
)
fulldir = plot_util.savefig(
fig, savename, savedir, log_dir=True, **figpar["save"]
)
return fulldir, savename
#############################################
def plot_visual_flow_diffs_sess123(analyspar, sesspar, stimpar, basepar,
permpar, extrapar, diffs_df, figpar):
"""
plot_visual_flow_diffs_sess123(analyspar, sesspar, stimpar, basepar,
permpar, extrapar, diffs_df, figpar)
From dictionaries, plots visual flow sequences across sessions.
Returns figure name and save directory path.
Required args:
- analyspar (dict):
dictionary with keys of AnalysPar namedtuple
- sesspar (dict):
dictionary with keys of SessPar namedtuple
- stimpar (dict):
dictionary with keys of StimPar namedtuple
- basepar (dict):
dictionary with keys of BasePar namedtuple
- extrapar (dict):
dictionary containing additional analysis parameters
["split"] (str): data split
["seed"] (int): seed
- diffs_df (pd.DataFrame):
dataframe with one row per session/line/plane, and the following
columns, in addition to the basic sess_df columns:
- diff_stats (list): split difference stats (me, err)
- null_CIs (list): adjusted null CI for split differences
- raw_p_vals (float): uncorrected p-value for differences within
sessions
- p_vals (float): p-value for differences within sessions,
corrected for multiple comparisons and tails
for session comparisons, e.g. 1v2:
- raw_p_vals_{}v{} (float): uncorrected p-value for differences
between sessions
- p_vals_{}v{} (float): p-value for differences between sessions,
corrected for multiple comparisons and tails
- figpar (dict):
dictionary containing the following figure parameter dictionaries
["init"] (dict): dictionary with figure initialization parameters
["save"] (dict): dictionary with figure saving parameters
["dirs"] (dict): dictionary with additional figure parameters
Returns:
- fulldir (Path): final path of the directory in which the figure
is saved
- savename (str): name under which the figure is saved
"""
title = "Visual flow sequence differences"
diffs_df = pd.DataFrame.from_dict(diffs_df)
ax = seq_plots.plot_sess_data(
diffs_df,
analyspar=analyspar,
sesspar=sesspar,
permpar=permpar,
figpar=figpar,
title=title,
wide=False
)
fig = ax.reshape(-1)[0].figure
savedir, savename = helper_fcts.get_save_path(
figpar['fig_panel_analysis'], main_direc=figpar["dirs"]["figdir"]
)
fulldir = plot_util.savefig(
fig, savename, savedir, log_dir=True, **figpar["save"]
)
return fulldir, savename
#############################################
def plot_visual_flow_rel_resp_sess123(analyspar, sesspar, stimpar, permpar,
extrapar, rel_resp_df, figpar):
"""
plot_visual_flow_rel_resp_sess123(analyspar, sesspar, stimpar, permpar,
extrapar, rel_resp_df, figpar)
From dictionaries, plots expected and unexpected visual flow responses,
relative to session 1.
Returns figure name and save directory path.
Required args:
- analyspar (dict):
dictionary with keys of AnalysPar namedtuple
- sesspar (dict):
dictionary with keys of SessPar namedtuple
- stimpar (dict):
dictionary with keys of StimPar namedtuple
- permpar (dict):
dictionary with keys of PermPar namedtuple
- extrapar (dict):
dictionary containing additional analysis parameters
["rel_sess"] (int): base session
["seed"] (int): seed
- rel_resp_df (pd.DataFrame):
dataframe with one row per session/line/plane, and the following
columns, in addition to the basic sess_df columns:
- rel_exp (list): data stats for expected data (me, err)
- rel_unexp (list): data stats for unexpected data (me, err)
for reg/exp/unexp data types, session comparisons, e.g. 1v2:
- {data_type}_raw_p_vals_{}v{} (float): uncorrected p-value for
data differences between sessions
- {data_type}_p_vals_{}v{} (float): p-value for data between
sessions, corrected for multiple comparisons and tails
- figpar (dict):
dictionary containing the following figure parameter dictionaries
["init"] (dict): dictionary with figure initialization parameters
["save"] (dict): dictionary with figure saving parameters
["dirs"] (dict): dictionary with additional figure parameters
Returns:
- fulldir (Path): final path of the directory in which the figure
is saved
- savename (str): name under which the figure is saved
"""
title = "Expected vs unexpected visual flow, relative to session 1"
rel_resp_df = pd.DataFrame.from_dict(rel_resp_df)
ax = seq_plots.plot_rel_resp_data(
rel_resp_df,
analyspar=analyspar,
sesspar=sesspar,
stimpar=stimpar,
permpar=permpar,
figpar=figpar,
title=title,
small=True,
)
fig = ax.reshape(-1)[0].figure
savedir, savename = helper_fcts.get_save_path(
figpar['fig_panel_analysis'], main_direc=figpar["dirs"]["figdir"]
)
fulldir = plot_util.savefig(
fig, savename, savedir, log_dir=True, **figpar["save"]
)
return fulldir, savename
#############################################
def plot_unexp_resp_stimulus_comp_sess1v3(analyspar, sesspar, stimpar, permpar,
extrapar, unexp_comp_df, figpar):
"""
plot_unexp_resp_stimulus_comp_sess1v3(analyspar, sesspar, stimpar, permpar,
extrapar, unexp_comp_df, figpar)
From dictionaries, plots statistics comparing changes across session in
tracked ROI unexpected responses for different stimuli.
Returns figure name and save directory path.
Required args:
- analyspar (dict):
dictionary with keys of AnalysPar namedtuple
- sesspar (dict):
dictionary with keys of SessPar namedtuple
- stimpar (dict):
dictionary with keys of StimPar namedtuple
- basepar (dict):
dictionary with keys of BasePar namedtuple
- idxpar (dict):
dictionary with keys of IdxPar namedtuple
- permpar (dict):
dictionary with keys of PermPar namedtuple
- extrapar (dict):
dictionary containing additional analysis parameters
["comp_sess"] (list): sessions for which absolute fractional
changes were calculated, with [x, y] => |(y - x) / x|
["datatype"] (str): type of data to retrieved
["pop_stats"] (bool): whether population stats were analysed,
instead of individual ROI data
["seed"] (int): seed
- unexp_comp_df (pd.DataFrame):
dataframe with one row per line/plane and one for all line/planes
together, and the basic sess_df columns, in addition to,
for each stimtype:
- stimtype (list): absolute fractional change statistics (me, err)
- raw_p_vals (float): uncorrected p-value for data differences
between stimulus types
- p_vals (float): p-value for data differences between stimulus
types, corrected for multiple comparisons and tails
- figpar (dict):
dictionary containing the following figure parameter dictionaries
["init"] (dict): dictionary with figure initialization parameters
["save"] (dict): dictionary with figure saving parameters
["dirs"] (dict): dictionary with additional figure parameters
Returns:
- fulldir (Path): final path of the directory in which the figure
is saved
- savename (str): name under which the figure is saved
"""
title = "Unexpected response changes from session 1 to 3"
unexp_comp_df = pd.DataFrame.from_dict(unexp_comp_df)
ax = stim_plots.plot_stim_data_df(
unexp_comp_df,
stimpar=stimpar,
permpar=permpar,
figpar=figpar,
pop_stats=extrapar["pop_stats"],
title=title,
)
fig = ax.reshape(-1)[0].figure
savedir, savename = helper_fcts.get_save_path(
figpar['fig_panel_analysis'], main_direc=figpar["dirs"]["figdir"]
)
fulldir = plot_util.savefig(
fig, savename, savedir, log_dir=True, **figpar["save"]
)
return fulldir, savename
#############################################
def plot_visual_flow_tracked_roi_usis_sess123(analyspar, sesspar, stimpar,
basepar, idxpar, extrapar,
idx_only_df, figpar):
"""
plot_visual_flow_tracked_roi_usis_sess123(analyspar, sesspar, stimpar,
basepar, idxpar, extrapar,
idx_only_df, figpar)
From dictionaries, plots tracked visual flow USIs across sessions.
Returns figure name and save directory path.
Required args:
- analyspar (dict):
dictionary with keys of AnalysPar namedtuple
- sesspar (dict):
dictionary with keys of SessPar namedtuple
- stimpar (dict):
dictionary with keys of StimPar namedtuple
- basepar (dict):
dictionary with keys of BasePar namedtuple
- idxpar (dict):
dictionary with keys of IdxPar namedtuple
- extrapar (dict):
dictionary containing additional analysis parameters
- idx_only_df (pd.DataFrame):
dataframe with one row per session, and the following columns, in
addition to the basic sess_df columns:
- roi_idxs (list): index for each ROI
- figpar (dict):
dictionary containing the following figure parameter dictionaries
["init"] (dict): dictionary with figure initialization parameters
["save"] (dict): dictionary with figure saving parameters
["dirs"] (dict): dictionary with additional figure parameters
Returns:
- fulldir (Path): final path of the directory in which the figure
is saved
- savename (str): name under which the figure is saved
"""
title = "Tracked visual flow USIs"
idx_only_df = pd.DataFrame.from_dict(idx_only_df)
ax = usi_plots.plot_tracked_idxs(
idx_only_df,
sesspar=sesspar,
figpar=figpar,
title=title,
wide=False
)
fig = ax.reshape(-1)[0].figure
savedir, savename = helper_fcts.get_save_path(
figpar['fig_panel_analysis'], main_direc=figpar["dirs"]["figdir"]
)
fulldir = plot_util.savefig(
fig, savename, savedir, log_dir=True, **figpar["save"]
)
return fulldir, savename
#############################################
def plot_visual_flow_tracked_roi_abs_usi_means_sess123(
analyspar, sesspar, stimpar, basepar, idxpar, permpar, extrapar,
idx_stats_df, figpar):
"""
plot_gabor_tracked_roi_abs_usi_means_sess123(
analyspar, sesspar, stimpar, basepar, idxpar, permpar, extrapar,
idx_stats_df, figpar)
From dictionaries, plots statistics for tracked Gabor USIs across sessions.
Returns figure name and save directory path.
Required args:
- analyspar (dict):
dictionary with keys of AnalysPar namedtuple
- sesspar (dict):
dictionary with keys of SessPar namedtuple
- stimpar (dict):
dictionary with keys of StimPar namedtuple
- basepar (dict):
dictionary with keys of BasePar namedtuple
- idxpar (dict):
dictionary with keys of IdxPar namedtuple
- permpar (dict):
dictionary with keys of PermPar namedtuple
- extrapar (dict):
dictionary containing additional analysis parameters
["absolute"] (bool): whether statistics are for absolute USIs
["by_mouse"] (bool): whether data is by mouse
["seed"] (int): seed
- idx_stats_df (pd.DataFrame):
dataframe with one row per (mouse/)session/line/plane, and the
following columns, in addition to the basic sess_df columns:
- roi_idxs or abs_roi_idxs (list):
USI statistics or absolute USI statistics
for session comparisons, e.g. 1v2 (if permpar is not None):
- raw_p_vals_{}v{} (float): uncorrected p-value for differences
between sessions
- p_vals_{}v{} (float): p-value for differences between sessions,
corrected for multiple comparisons and tails
- figpar (dict):
dictionary containing the following figure parameter dictionaries
["init"] (dict): dictionary with figure initialization parameters
["save"] (dict): dictionary with figure saving parameters
["dirs"] (dict): dictionary with additional figure parameters
Returns:
- fulldir (Path): final path of the directory in which the figure
is saved
- savename (str): name under which the figure is saved
"""
title = "Means of absolute tracked visual flow USIs"
idx_stats_df = pd.DataFrame.from_dict(idx_stats_df)
ax = usi_plots.plot_tracked_idx_stats(
idx_stats_df,
sesspar=sesspar,
figpar=figpar,
permpar=permpar,
absolute=extrapar["absolute"],
by_mouse=extrapar["by_mouse"],
title=title,
wide=False
)
fig = ax.reshape(-1)[0].figure
savedir, savename = helper_fcts.get_save_path(
figpar['fig_panel_analysis'], main_direc=figpar["dirs"]["figdir"]
)
fulldir = plot_util.savefig(
fig, savename, savedir, log_dir=True, **figpar["save"]
)
return fulldir, savename
#############################################
def plot_tracked_roi_usis_stimulus_comp_sess1v3(analyspar, sesspar, stimpar,
basepar, idxpar, permpar,
extrapar, usi_comp_df, figpar):
"""
plot_tracked_roi_usis_stimulus_comp_sess1v3(analyspar, sesspar, stimpar,
basepar, idxpar, permpar,
extrapar, usi_comp_df, figpar)
From dictionaries, plots statistics comparing changes across session in
tracked USIs for different stimuli.
Returns figure name and save directory path.
Required args:
- analyspar (dict):
dictionary with keys of AnalysPar namedtuple
- sesspar (dict):
dictionary with keys of SessPar namedtuple
- stimpar (dict):
dictionary with keys of StimPar namedtuple
- basepar (dict):
dictionary with keys of BasePar namedtuple
- idxpar (dict):
dictionary with keys of IdxPar namedtuple
- permpar (dict):
dictionary with keys of PermPar namedtuple
- extrapar (dict):
dictionary containing additional analysis parameters
["comp_sess"] (list): sessions for which absolute fractional
changes were calculated, with [x, y] => |(y - x) / x|
["datatype"] (str): type of data to retrieved
["rel_sess"] (int): number of session relative to which data is
scaled, for each mouse
["pop_stats"] (bool): whether population stats were analysed,
instead of individual ROI data
["seed"] (int): seed
- usi_comp_df (pd.DataFrame):
dataframe with one row per line/plane and one for all line/planes
together, and the basic sess_df columns, in addition to,
for each stimtype:
- stimtype (list): absolute fractional change statistics (me, err)
- raw_p_vals (float): uncorrected p-value for data differences
between stimulus types
- p_vals (float): p-value for data differences between stimulus
types, corrected for multiple comparisons and tails
- figpar (dict):
dictionary containing the following figure parameter dictionaries
["init"] (dict): dictionary with figure initialization parameters
["save"] (dict): dictionary with figure saving parameters
["dirs"] (dict): dictionary with additional figure parameters
Returns:
- fulldir (Path): final path of the directory in which the figure
is saved
- savename (str): name under which the figure is saved
"""
title = "USI changes from session 1 to 3"
usi_comp_df = pd.DataFrame.from_dict(usi_comp_df)
ax = stim_plots.plot_stim_data_df(
usi_comp_df,
stimpar=stimpar,
permpar=permpar,
figpar=figpar,
pop_stats=extrapar["pop_stats"],
title=title,
)
fig = ax.reshape(-1)[0].figure
savedir, savename = helper_fcts.get_save_path(
figpar['fig_panel_analysis'], main_direc=figpar["dirs"]["figdir"]
)
fulldir = plot_util.savefig(
fig, savename, savedir, log_dir=True, **figpar["save"]
)
return fulldir, savename
#############################################
def plot_visual_flow_corrs_sess123_comps(analyspar, sesspar, stimpar, basepar,
idxpar, permpar, extrapar, idx_corr_df,
figpar):
"""
plot_visual_flow_corrs_sess123_comps(analyspar, sesspar, stimpar, basepar,
idxpar, permpar, extrapar, idx_corr_df,
figpar)
From dictionaries, plots ROI USI correlations across sessions for tracked
visual flow USIs.
Returns figure name and save directory path.
Required args:
- analyspar (dict):
dictionary with keys of AnalysPar namedtuple
- sesspar (dict):
dictionary with keys of SessPar namedtuple
- stimpar (dict):
dictionary with keys of StimPar namedtuple
- basepar (dict):
dictionary with keys of BasePar namedtuple
- idxpar (dict):
dictionary with keys of IdxPar namedtuple
- permpar (dict):
dictionary with keys of PermPar namedtuple
- extrapar (dict):
dictionary containing additional analysis parameters
["consec_only"] (bool): if True, only consecutive sessions are
correlated
["corr_type"] (str): type of correlation ("corr" or "R_sqr")
["permute"] (str): type of permutations used
("sess", "tracking", "all")
["seed"] (int): seed
["sig_only"] (bool): if True, only ROIs with significant USIs are
retained
- idx_corr_df (pd.DataFrame):
dataframe with one row per line/plane, and the
following columns, in addition to the basic sess_df columns:
for session comparisons, e.g. 1v2
- {}v{}{norm_str}_corrs (float): intersession ROI index correlations
- {}v{}{norm_str}_corr_stds (float): bootstrapped intersession ROI
index correlation standard deviation
- {}v{}_null_CIs (list): adjusted null CI for intersession ROI
index correlations
- {}v{}_raw_p_vals (float): p-value for intersession correlations
- {}v{}_p_vals (float): p-value for intersession correlations,
corrected for multiple comparisons and tails
- figpar (dict):
dictionary containing the following figure parameter dictionaries
["init"] (dict): dictionary with figure initialization parameters
["save"] (dict): dictionary with figure saving parameters
["dirs"] (dict): dictionary with additional figure parameters
Returns:
- fulldir (Path): final path of the directory in which the figure
is saved
- savename (str): name under which the figure is saved
"""
title = "Correlations for visual flow USIs"
idx_corr_df = pd.DataFrame.from_dict(idx_corr_df)
ax = corr_plots.plot_idx_correlations(
idx_corr_df,
permpar=permpar,
figpar=figpar,
permute=extrapar["permute"],
corr_type=extrapar["corr_type"],
title=title,
small=True,
)
fig = ax.reshape(-1)[0].figure
savedir, savename = helper_fcts.get_save_path(
figpar['fig_panel_analysis'], main_direc=figpar["dirs"]["figdir"]
)
fulldir = plot_util.savefig(
fig, savename, savedir, log_dir=True, **figpar["save"]
)
return fulldir, savename
#############################################
def plot_scatterplots(analyspar, sesspar, stimpar, basepar, idxpar, permpar,
extrapar, idx_corr_df, figpar, title=None):
"""
plot_scatterplots(analyspar, sesspar, stimpar, basepar, idxpar, permpar,
extrapar, idx_corr_df, figpar)
From dictionaries, plots ROI USI correlation scatterplots.
Returns figure name and save directory path.
Required args:
- analyspar (dict):
dictionary with keys of AnalysPar namedtuple
- sesspar (dict):
dictionary with keys of SessPar namedtuple
- stimpar (dict):
dictionary with keys of StimPar namedtuple
- basepar (dict):
dictionary with keys of BasePar namedtuple
- idxpar (dict):
dictionary with keys of IdxPar namedtuple
- permpar (dict):
dictionary with keys of PermPar namedtuple
- extrapar (dict):
dictionary containing additional analysis parameters
["permute"] (str): type of permutations used
("sess", "tracking", "all")
["seed"] (int): seed
["sig_only"] (bool): if True, only ROIs with significant USIs are
retained
- idx_corr_df (pd.DataFrame):
dataframe with one row per line/plane, and the
following columns, in addition to the basic sess_df columns:
for correlation data (normalized if corr_type is "diff_corr") for
session comparisons (x, y), e.g. 1v2
- binned_rand_stats (list): number of random correlation values per
bin (xs x ys)
- corr_data_xs (list): USI values for x
- corr_data_ys (list): USI values for y
- corrs (float): correlation between session data (x and y)
- p_vals (float): p-value for correlation, corrected for
multiple comparisons and tails
- rand_corr_meds (float): median of the random correlations
- raw_p_vals (float): p-value for intersession correlations
- regr_coefs (float): regression correlation coefficient (slope)
- regr_intercepts (float): regression correlation intercept
- x_bin_mids (list): x mid point for each random correlation bin
- y_bin_mids (list): y mid point for each random correlation bin
- figpar (dict):
dictionary containing the following figure parameter dictionaries
["init"] (dict): dictionary with figure initialization parameters
["save"] (dict): dictionary with figure saving parameters
["dirs"] (dict): dictionary with additional figure parameters
Returns:
- fulldir (Path): final path of the directory in which the figure
is saved
- savename (str): name under which the figure is saved
"""
idx_corr_df = pd.DataFrame.from_dict(idx_corr_df)
ax = corr_plots.plot_idx_corr_scatterplots(
idx_corr_df,
permpar=permpar,
figpar=figpar,
permute=extrapar["permute"],
title=title,
)
fig = ax.reshape(-1)[0].figure
savedir, savename = helper_fcts.get_save_path(
figpar['fig_panel_analysis'], main_direc=figpar["dirs"]["figdir"]
)
fulldir = plot_util.savefig(
fig, savename, savedir, log_dir=True, **figpar["save"]
)
return fulldir, savename
#############################################
def plot_gabor_corr_scatterplots_sess12(analyspar, sesspar, stimpar, basepar,
idxpar, permpar, extrapar, idx_corr_df,
figpar):
"""
plot_gabor_corr_scatterplots_sess12(analyspar, sesspar, stimpar, basepar,
idxpar, permpar, extrapar, idx_corr_df,
figpar)
Retrieves tracked ROI Gabor USI correlation scatterplot data for
sessions 1 and 2.
Saves results and parameters relevant to analysis in a dictionary.
See plot_scatterplots().
"""
title = "Correlation scatterplot for Gabor USIs (session 1 vs 2)"
fulldir, savename = plot_scatterplots(
analyspar=analyspar,
sesspar=sesspar,
stimpar=stimpar,
basepar=basepar,
idxpar=idxpar,
permpar=permpar,
extrapar=extrapar,
idx_corr_df=idx_corr_df,
figpar=figpar,
title=title
)
return fulldir, savename
#############################################
def plot_gabor_corr_scatterplots_sess23(analyspar, sesspar, stimpar, basepar,
idxpar, permpar, extrapar, idx_corr_df,
figpar):
"""
plot_gabor_corr_scatterplots_sess23(analyspar, sesspar, stimpar, basepar,
idxpar, permpar, extrapar, idx_corr_df,
figpar)
Retrieves tracked ROI Gabor USI correlation scatterplot data for
sessions 2 and 3.
Saves results and parameters relevant to analysis in a dictionary.
See plot_scatterplots().
"""
title = "Correlation scatterplot for Gabor USIs (session 2 vs 3)"
fulldir, savename = plot_scatterplots(
analyspar=analyspar,
sesspar=sesspar,
stimpar=stimpar,
basepar=basepar,
idxpar=idxpar,
permpar=permpar,
extrapar=extrapar,
idx_corr_df=idx_corr_df,
figpar=figpar,
title=title
)
return fulldir, savename
#############################################
def plot_visual_flow_corr_scatterplots_sess12(
analyspar, sesspar, stimpar, basepar, idxpar, permpar, extrapar,
idx_corr_df, figpar):
"""
plot_visual_flow_corr_scatterplots_sess12(
analyspar, sesspar, stimpar, basepar, idxpar, permpar, extrapar,
idx_corr_df, figpar)
Retrieves tracked ROI visual flow USI correlation scatterplot data for
sessions 1 and 2.
Saves results and parameters relevant to analysis in a dictionary.
See plot_scatterplots().
"""
title = "Correlation scatterplot for visual flow USIs (session 1 vs 2)"
fulldir, savename = plot_scatterplots(
analyspar=analyspar,
sesspar=sesspar,
stimpar=stimpar,
basepar=basepar,
idxpar=idxpar,
permpar=permpar,
extrapar=extrapar,
idx_corr_df=idx_corr_df,
figpar=figpar,
title=title
)
return fulldir, savename
#############################################
def plot_visual_flow_corr_scatterplots_sess23(
analyspar, sesspar, stimpar, basepar, idxpar, permpar, extrapar,
idx_corr_df, figpar):
"""
plot_visual_flow_corr_scatterplots_sess23(
analyspar, sesspar, stimpar, basepar, idxpar, permpar, extrapar,
idx_corr_df, figpar)
Retrieves tracked ROI visual flow USI correlation scatterplot data for
sessions 2 and 3.
Saves results and parameters relevant to analysis in a dictionary.
See plot_scatterplots().
"""
title = "Correlation scatterplot for visual flow USIs (session 2 vs 3)"
fulldir, savename = plot_scatterplots(
analyspar=analyspar,
sesspar=sesspar,
stimpar=stimpar,
basepar=basepar,
idxpar=idxpar,
permpar=permpar,
extrapar=extrapar,
idx_corr_df=idx_corr_df,
figpar=figpar,
title=title
)
return fulldir, savename
#############################################
def plot_dendritic_roi_tracking_example(analyspar, sesspar, extrapar,
roi_mask_df, figpar):
"""
plot_dendritic_roi_tracking_example(analyspar, sesspar, extrapar,
roi_mask_df, figpar)
From dictionaries, plots tracked ROI masks for different session orderings
for an example dendritic session.
Returns figure name and save directory path.
Required args:
- analyspar (dict):
dictionary with keys of AnalysPar namedtuple
- sesspar (dict):
dictionary with keys of SessPar namedtuple
- extrapar (dict):
dictionary containing additional analysis parameters
- roi_mask_df (pd.DataFrame in dict format):
dataframe with a row for each mouse, and the following
columns, in addition to the basic sess_df columns:
- "roi_mask_shapes" (list): shape into which ROI mask indices index
(sess x hei x wid)
- "union_n_conflicts" (int): number of conflicts after union
for "union", "fewest" and "most" tracked ROIs:
- "{}_registered_roi_mask_idxs" (list): list of mask indices,
registered across sessions, for each session
(flattened across ROIs) ((sess, hei, wid) x val),
ordered by {}_sess_ns if "fewest" or "most"
- "{}_n_tracked" (int): number of tracked ROIs
for "fewest", "most" tracked ROIs:
- "{}_sess_ns" (list): ordered session number
- figpar (dict):
dictionary containing the following figure parameter dictionaries
["init"] (dict): dictionary with figure initialization parameters
["save"] (dict): dictionary with figure saving parameters
["dirs"] (dict): dictionary with additional figure parameters
Returns:
- fulldir (Path):
final path of the directory in which the figure is saved
- savename (str):
name under which the figure is saved
"""
title = "Dendritic ROI tracking example"
roi_mask_df = pd.DataFrame.from_dict(roi_mask_df)
ax = roi_plots.plot_roi_tracking(
roi_mask_df,
figpar=figpar,
title=title
)
fig = ax.reshape(-1)[0].figure
savedir, savename = helper_fcts.get_save_path(
figpar['fig_panel_analysis'], main_direc=figpar["dirs"]["figdir"]
)
fulldir = plot_util.savefig(
fig, savename, savedir, log_dir=True, **figpar["save"]
)
return fulldir, savename
#############################################
def plot_somatic_roi_tracking_example(analyspar, sesspar, extrapar, roi_mask_df,
figpar):
"""
plot_somatic_roi_tracking_example(analyspar, sesspar, extrapar, roi_mask_df,
figpar)
From dictionaries, plots tracked ROI masks for different session orderings
for an example somatic session.
Returns figure name and save directory path.
Required args:
- analyspar (dict):
dictionary with keys of AnalysPar namedtuple
- sesspar (dict):
dictionary with keys of SessPar namedtuple
- extrapar (dict):
dictionary containing additional analysis parameters
- roi_mask_df (pd.DataFrame in dict format):
dataframe with a row for each mouse, and the following
columns, in addition to the basic sess_df columns:
- "roi_mask_shapes" (list): shape into which ROI mask indices index
(sess x hei x wid)
- "union_n_conflicts" (int): number of conflicts after union
for "union", "fewest" and "most" tracked ROIs:
- "{}_registered_roi_mask_idxs" (list): list of mask indices,
registered across sessions, for each session
(flattened across ROIs) ((sess, hei, wid) x val),
ordered by {}_sess_ns if "fewest" or "most"
- "{}_n_tracked" (int): number of tracked ROIs
for "fewest", "most" tracked ROIs:
- "{}_sess_ns" (list): ordered session number
- figpar (dict):
dictionary containing the following figure parameter dictionaries
["init"] (dict): dictionary with figure initialization parameters
["save"] (dict): dictionary with figure saving parameters
["dirs"] (dict): dictionary with additional figure parameters
Returns:
- fulldir (Path):
final path of the directory in which the figure is saved
- savename (str):
name under which the figure is saved
"""
title = "Somatic ROI tracking example"
roi_mask_df = pd.DataFrame.from_dict(roi_mask_df)
ax = roi_plots.plot_roi_tracking(
roi_mask_df,
figpar=figpar,
title=title
)
fig = ax.reshape(-1)[0].figure
savedir, savename = helper_fcts.get_save_path(
figpar['fig_panel_analysis'], main_direc=figpar["dirs"]["figdir"]
)
fulldir = plot_util.savefig(
fig, savename, savedir, log_dir=True, **figpar["save"]
)
return fulldir, savename
| 37.39224 | 81 | 0.597722 | 12,504 | 114,682 | 5.335173 | 0.035269 | 0.071562 | 0.070963 | 0.050127 | 0.948899 | 0.941509 | 0.93181 | 0.927298 | 0.921092 | 0.907991 | 0 | 0.004253 | 0.311112 | 114,682 | 3,066 | 82 | 37.404436 | 0.840158 | 0.634467 | 0 | 0.668578 | 0 | 0 | 0.090799 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.050459 | false | 0 | 0.006881 | 0 | 0.107798 | 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 |
a4885a1d70c626ba81f73dcf52d2b91416bd4063 | 57 | py | Python | helpers/__init__.py | Untesler/fra641-backend | f7fbb10273d6259fd59c0d8e99b6557af91d405b | [
"MIT"
] | null | null | null | helpers/__init__.py | Untesler/fra641-backend | f7fbb10273d6259fd59c0d8e99b6557af91d405b | [
"MIT"
] | null | null | null | helpers/__init__.py | Untesler/fra641-backend | f7fbb10273d6259fd59c0d8e99b6557af91d405b | [
"MIT"
] | null | null | null | from helpers.generate_responses_dict import gen_res_dict
| 28.5 | 56 | 0.912281 | 9 | 57 | 5.333333 | 0.888889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.070175 | 57 | 1 | 57 | 57 | 0.90566 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
f14d13cd4aea3a5a0ac9351cbea205f1245fd63a | 123 | py | Python | src/config.py | okunator/Dippa | dcbb7056511dd6f66bcc7b095716c385d0b0a8bb | [
"MIT"
] | 13 | 2021-01-25T07:47:03.000Z | 2022-01-20T16:02:51.000Z | src/config.py | okunator/Dippa | dcbb7056511dd6f66bcc7b095716c385d0b0a8bb | [
"MIT"
] | 1 | 2022-02-12T15:03:23.000Z | 2022-02-12T15:03:23.000Z | src/config.py | okunator/Dippa | dcbb7056511dd6f66bcc7b095716c385d0b0a8bb | [
"MIT"
] | null | null | null | from omegaconf import OmegaConf
from src.settings import EXPERIMENT_YML_PATH
CONFIG = OmegaConf.load(EXPERIMENT_YML_PATH)
| 24.6 | 44 | 0.861789 | 17 | 123 | 6 | 0.588235 | 0.254902 | 0.333333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.097561 | 123 | 4 | 45 | 30.75 | 0.918919 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.666667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 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 |
f187d07367b3f8945373aa1a8131b865a10f1a80 | 164 | py | Python | apps/users/admin.py | LopsanAMO/Testing_ | aba48bc2757eaa17cf935a5b0333827daea7c870 | [
"MIT"
] | null | null | null | apps/users/admin.py | LopsanAMO/Testing_ | aba48bc2757eaa17cf935a5b0333827daea7c870 | [
"MIT"
] | 3 | 2020-06-05T17:14:45.000Z | 2021-06-10T18:38:51.000Z | apps/users/admin.py | LopsanAMO/Testing_ | aba48bc2757eaa17cf935a5b0333827daea7c870 | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import Address, Social, Client
admin.site.register(Address)
admin.site.register(Social)
admin.site.register(Client)
| 20.5 | 43 | 0.810976 | 23 | 164 | 5.782609 | 0.478261 | 0.203008 | 0.383459 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.091463 | 164 | 7 | 44 | 23.428571 | 0.892617 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
74f2136b8ba650be16377a9f484fc2126ab80cb7 | 134 | py | Python | autokey/data/Emacs/m_b.py | Curiosidad-Racional/.config | af5a8901510e4b87dff1be024d3d29987c148f3f | [
"MIT"
] | 2 | 2021-05-29T18:11:26.000Z | 2021-10-21T20:53:16.000Z | autokey/data/Emacs/m_b.py | Curiosidad-Racional/.config | af5a8901510e4b87dff1be024d3d29987c148f3f | [
"MIT"
] | null | null | null | autokey/data/Emacs/m_b.py | Curiosidad-Racional/.config | af5a8901510e4b87dff1be024d3d29987c148f3f | [
"MIT"
] | null | null | null | if store.get_global_value("ctrl-space"):
keyboard.send_keys("<ctrl>+<shift>+<left>")
else:
keyboard.send_keys("<ctrl>+<left>") | 33.5 | 47 | 0.679104 | 19 | 134 | 4.578947 | 0.684211 | 0.275862 | 0.367816 | 0.45977 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.089552 | 134 | 4 | 48 | 33.5 | 0.713115 | 0 | 0 | 0 | 0 | 0 | 0.325926 | 0.155556 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
740ebe43de235c2cd8a6ff7576e774f93aa84474 | 322 | py | Python | unittests/backend/Ask.py | ttrzcinski/aws_py_listall | 84f53853099fe3bc547c7ea14fe16d4adebb2701 | [
"MIT"
] | null | null | null | unittests/backend/Ask.py | ttrzcinski/aws_py_listall | 84f53853099fe3bc547c7ea14fe16d4adebb2701 | [
"MIT"
] | null | null | null | unittests/backend/Ask.py | ttrzcinski/aws_py_listall | 84f53853099fe3bc547c7ea14fe16d4adebb2701 | [
"MIT"
] | null | null | null | class Ask:
@staticmethod
def about():
return 'Responsible for communication with AWS though net.'
# TODO List all services of given type
# TODO Assert presence of wanted service type with given name
# TODO Kill service, if exists with given name, where without declared type prefix is a type
| 32.2 | 96 | 0.714286 | 46 | 322 | 5 | 0.73913 | 0.078261 | 0.113043 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.245342 | 322 | 9 | 97 | 35.777778 | 0.946502 | 0.580745 | 0 | 0 | 0 | 0 | 0.381679 | 0 | 0 | 0 | 0 | 0.111111 | 0 | 1 | 0.25 | true | 0 | 0 | 0.25 | 0.75 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 6 |
746def8cef31c0205accd708facce51c965aebef | 10,390 | py | Python | tempest/api/workloadmgr/snapshot/test_snapshot_mount.py | KiranPawar72/tempest | 1fef3dd92b083055793065dd0693454735ec2c01 | [
"Apache-2.0"
] | null | null | null | tempest/api/workloadmgr/snapshot/test_snapshot_mount.py | KiranPawar72/tempest | 1fef3dd92b083055793065dd0693454735ec2c01 | [
"Apache-2.0"
] | null | null | null | tempest/api/workloadmgr/snapshot/test_snapshot_mount.py | KiranPawar72/tempest | 1fef3dd92b083055793065dd0693454735ec2c01 | [
"Apache-2.0"
] | null | null | null | import sys
import os
sys.path.append(os.getcwd())
from tempest.api.workloadmgr import base
from tempest import config
from tempest import test
from oslo_log import log as logging
from tempest import tvaultconf
from tempest import reporting
import time
LOG = logging.getLogger(__name__)
CONF = config.CONF
class WorkloadsTest(base.BaseWorkloadmgrTest):
credentials = ['primary']
instances_ids = []
snapshot_ids = []
wid = ""
security_group_id = ""
volumes_ids = []
@classmethod
def setup_clients(cls):
super(WorkloadsTest, cls).setup_clients()
cls.client = cls.os.wlm_client
@test.pre_req({'type':'snapshot_mount'})
@test.attr(type='smoke')
@test.idempotent_id('90dfa684-171c-40c7-a195-df53671bec4b')
def test_1_snapshot_mount_full(self):
reporting.add_test_script(str(__name__) + "_full_snasphot")
try:
if self.exception != "":
LOG.debug("pre req failed")
reporting.add_test_step(str(self.exception), tvaultconf.FAIL)
raise Exception (str(self.exception))
LOG.debug("pre req completed")
global instances_ids
global snapshot_ids
global wid
global security_group_id
global volumes_ids
global fvm_id
global floating_ips_list
instances_ids = self.instances_ids
snapshot_ids = self.snapshot_ids
wid = self.wid
volumes_ids = self.volumes_ids
security_group_id = self.security_group_id
fvm_id = self.fvm_id
full_snapshot_id = snapshot_ids[0]
floating_ips_list = self.floating_ips_list
LOG.debug("mount snasphot of a full snapshot")
is_mounted = self.mount_snapshot(wid, full_snapshot_id, fvm_id, mount_cleanup = False)
LOG.debug("VALUE OF is_mounted: " + str(is_mounted))
if is_mounted == True:
LOG.debug(" mount snapshot with full snapshot is successful")
reporting.add_test_step("Verification of mount snapshot with full snapshot", tvaultconf.PASS)
else:
LOG.debug("mount snapshot with full snapshot is unsuccessful")
reporting.add_test_step("Verification of mount snapshot with full snapshot", tvaultconf.FAIL)
raise Exception ("Snapshot mount with full_snapshot does not execute correctly")
LOG.debug("validate that snapshot is mounted on FVM")
ssh = self.SshRemoteMachineConnectionWithRSAKey(str(floating_ips_list[1]), CONF.compute.fvm_ssh_user)
output_list = self.validate_snapshot_mount(ssh).split('\n')
ssh.close()
flag = 0
for i in output_list:
if 'vdb1.mnt' in i:
LOG.debug("connect to fvm and check mountpoint is mounted on FVM instance")
reporting.add_test_step("Verify that mountpoint mounted is shown on FVM instance", tvaultconf.PASS)
flag = 1
if 'File_1.txt' in i:
LOG.debug("check that file exists on mounted snapshot")
reporting.add_test_step("Verification of file's existance on moutned snapshot", tvaultconf.PASS)
else:
LOG.debug("file does not found on FVM instacne")
reporting.add_test_step("Verification of file's existance on moutned snapshot", tvaultconf.FAIL)
raise Exception ("file does not found on FVM instacne")
else:
pass
if flag == 0:
LOG.debug("mount snapshot with full snapshot is unsuccessful on FVM")
reporting.add_test_step("Verify that mountpoint mounted is shown on FVM instance", tvaultconf.FAIL)
LOG.debug("file does not found on FVM instacne")
reporting.add_test_step("Verification of file's existance on moutned snapshot", tvaultconf.FAIL)
raise Exception ("mountpoint is not showing on FVM instance")
else:
pass
reporting.test_case_to_write()
except Exception as e:
LOG.error("Exception: " + str(e))
reporting.set_test_script_status(tvaultconf.FAIL)
reporting.test_case_to_write()
@test.attr(type='smoke')
@test.idempotent_id('28fd0710-ef00-42b0-93f0-9dbb3ffc5bee')
def test_2_umount_snapshot(self):
reporting.add_test_script(str(__name__) + "_umount_snapshot")
try:
global instances_ids
global snapshot_ids
global wid
global security_group_id
global volumes_ids
global fvm_id
global floating_ips_list
instances_ids = instances_ids
snapshot_ids = snapshot_ids
wid = wid
volumes_ids = volumes_ids
security_group_id = security_group_id
fvm_id = fvm_id
unmount_snapshot_id = snapshot_ids[0]
floating_ips_list = floating_ips_list
LOG.debug("unmount snapshot")
is_unmounted = self.unmount_snapshot(unmount_snapshot_id)
LOG.debug("VALUE OF is_unmounted: " + str(is_unmounted))
if is_unmounted == True:
LOG.debug("unmount snapshot with full snapshot is successful")
reporting.add_test_step("Verification of unmount snapshot with full snapshot", tvaultconf.PASS)
else:
LOG.debug("unmount snapshot with full snapshot is unsuccessful")
reporting.add_test_step("Verification of unmount snapshot with full snapshot", tvaultconf.FAIL)
raise Exception ("Snapshot unmount with full_snapshot does not execute correctly")
LOG.debug("validate that snapshot is unmounted from FVM")
ssh = self.SshRemoteMachineConnectionWithRSAKey(str(floating_ips_list[1]), CONF.compute.fvm_ssh_user)
output_list = self.validate_snapshot_mount(ssh)
ssh.close()
if output_list == '':
LOG.debug("Unmounting successful")
reporting.add_test_step("Unmounting of a full snapshot", tvaultconf.PASS)
else:
LOG.debug("Unmounting unsuccessful")
reporting.add_test_step("Unmounting of a full snapshot", tvaultconf.FAIL)
raise Exception("Unmouting of a snapshot failed")
reporting.test_case_to_write()
except Exception as e:
LOG.error("Exception: " + str(e))
reporting.set_test_script_status(tvaultconf.FAIL)
reporting.test_case_to_write()
@test.attr(type='smoke')
@test.idempotent_id('215e0c36-8911-4167-aaea-8c07d21212f3')
def test_3_snapshot_mount_incremental(self):
reporting.add_test_script(str(__name__) + "_incremental_snasphot")
try:
global instances_ids
global snapshot_ids
global wid
global security_group_id
global volumes_ids
global fvm_id
global floating_ips_list
instances_ids = instances_ids
snapshot_ids = snapshot_ids
wid = wid
volumes_ids = volumes_ids
security_group_id = security_group_id
fvm_id = fvm_id
incremental_snapshot_id = snapshot_ids[1]
floating_ips_list = floating_ips_list
LOG.debug("mount incremental snapshot")
is_mounted = self.mount_snapshot(wid, incremental_snapshot_id, fvm_id)
LOG.debug("VALUE OF is_mounted: " + str(is_mounted))
if is_mounted == True:
LOG.debug(" mount snapshot with incremental snapshot is successful")
reporting.add_test_step("Verification of mount snapshot with incremental snapshot", tvaultconf.PASS)
else:
LOG.debug("mount snapshot with incremental snapshot is unsuccessful")
reporting.add_test_step("Verification of mount snapshot with incremental snapshot", tvaultconf.FAIL)
raise Exception ("Snapshot mount with incremental_snapshot does not execute correctly")
LOG.debug("validate that snapshot is mounted on FVM")
ssh = self.SshRemoteMachineConnectionWithRSAKey(str(floating_ips_list[1]), CONF.compute.fvm_ssh_user)
output_list = self.validate_snapshot_mount(ssh).split('\n')
ssh.close()
flag = 0
for i in output_list:
if 'vdb1.mnt' in i:
LOG.debug("connect to fvm and check mountpoint is mounted on FVM instance")
reporting.add_test_step("Verify that mountpoint mounted is shown on FVM instance", tvaultconf.PASS)
flag = 1
if 'File_1.txt' in i:
LOG.debug("check that file is exist on mounted snapshot")
reporting.add_test_step("Verification of file's existance on moutned snapshot", tvaultconf.PASS)
else:
LOG.debug("file does not found on FVM instacne")
reporting.add_test_step("Verification of file's existance on moutned snapshot", tvaultconf.FAIL)
raise Exception ("file does not found on FVM instacne")
else:
pass
if flag == 0:
LOG.debug("mount snapshot with full snapshot is unsuccessful on FVM")
reporting.add_test_step("Verify that mountpoint mounted is shown on FVM instance", tvaultconf.FAIL)
LOG.debug("file does not found on FVM instacne")
reporting.add_test_step("Verification of file's existance on moutned snapshot", tvaultconf.FAIL)
raise Exception ("mountpoint is not showing on FVM instance")
else:
pass
reporting.test_case_to_write()
except Exception as e:
LOG.error("Exception: " + str(e))
reporting.set_test_script_status(tvaultconf.FAIL)
reporting.test_case_to_write()
| 46.801802 | 120 | 0.611646 | 1,188 | 10,390 | 5.137205 | 0.131313 | 0.038014 | 0.057677 | 0.062264 | 0.802392 | 0.791414 | 0.770768 | 0.734393 | 0.698509 | 0.678519 | 0 | 0.01116 | 0.318672 | 10,390 | 221 | 121 | 47.013575 | 0.850968 | 0 | 0 | 0.592965 | 0 | 0 | 0.25604 | 0.012417 | 0 | 0 | 0 | 0 | 0 | 1 | 0.020101 | false | 0.060302 | 0.045226 | 0 | 0.100503 | 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 |
7487d9ac2da5bb51534cc7d55ac5283df8222811 | 171 | py | Python | code/archs/segmentation/baselines/__init__.py | ThmCuong/IIC-tmp | 7029050db45aaec0099dca67b31b613f1e5ecf10 | [
"MIT"
] | null | null | null | code/archs/segmentation/baselines/__init__.py | ThmCuong/IIC-tmp | 7029050db45aaec0099dca67b31b613f1e5ecf10 | [
"MIT"
] | null | null | null | code/archs/segmentation/baselines/__init__.py | ThmCuong/IIC-tmp | 7029050db45aaec0099dca67b31b613f1e5ecf10 | [
"MIT"
] | null | null | null | # from code.archs.segmentation.baselines.net10a_doersch import *
# from code.archs.segmentation.baselines.net10a_isola import *
from . import net10a_doersch, net10a_isola | 42.75 | 64 | 0.830409 | 22 | 171 | 6.272727 | 0.409091 | 0.115942 | 0.188406 | 0.362319 | 0.57971 | 0.57971 | 0 | 0 | 0 | 0 | 0 | 0.051282 | 0.087719 | 171 | 4 | 65 | 42.75 | 0.833333 | 0.719298 | 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 |
748dd132a272510f3048e8b249bf15cd63845b22 | 55,662 | py | Python | foundation_public/migrations/0001_initial.py | smegurus/smegurus-django | 053973b5ff0b997c52bfaca8daf8e07db64a877c | [
"BSD-4-Clause"
] | 1 | 2020-07-16T10:58:23.000Z | 2020-07-16T10:58:23.000Z | foundation_public/migrations/0001_initial.py | smegurus/smegurus-django | 053973b5ff0b997c52bfaca8daf8e07db64a877c | [
"BSD-4-Clause"
] | 13 | 2018-11-30T02:29:39.000Z | 2022-03-11T23:35:49.000Z | foundation_public/migrations/0001_initial.py | smegurus/smegurus-django | 053973b5ff0b997c52bfaca8daf8e07db64a877c | [
"BSD-4-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.10.5 on 2017-03-09 02:08
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django_tenants.postgresql_backend.base
import foundation_tenant.utils
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.CreateModel(
name='BannedDomain',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(db_index=True, max_length=63, unique=True)),
('banned_on', models.DateField(auto_now_add=True, null=True)),
('reason', models.CharField(blank=True, max_length=127, null=True)),
],
options={
'db_table': 'smeg_banned_domains',
'ordering': ('name',),
},
),
migrations.CreateModel(
name='BannedIP',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('address', models.GenericIPAddressField(db_index=True, unique=True)),
('banned_on', models.DateField(auto_now_add=True, null=True)),
('reason', models.CharField(blank=True, max_length=127, null=True)),
],
options={
'db_table': 'smeg_banned_ips',
'ordering': ('address',),
},
),
migrations.CreateModel(
name='BannedWord',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('text', models.CharField(db_index=True, max_length=63, unique=True)),
('banned_on', models.DateField(auto_now_add=True, null=True)),
('reason', models.CharField(blank=True, max_length=127, null=True)),
],
options={
'db_table': 'smeg_banned_words',
'ordering': ('text',),
},
),
migrations.CreateModel(
name='CityOption',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(blank=True, help_text='The name of the City.', max_length=255, null=True, verbose_name='Name')),
],
options={
'verbose_name_plural': 'City Options',
'db_table': 'smeg_city_options',
'verbose_name': 'City Option',
},
),
migrations.CreateModel(
name='CountryOption',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(blank=True, help_text='The name of the Country.', max_length=255, null=True, verbose_name='Name')),
],
options={
'verbose_name_plural': 'Country Options',
'db_table': 'smeg_country_options',
'verbose_name': 'Country Option',
},
),
migrations.CreateModel(
name='ProvinceOption',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(blank=True, help_text='The name of the Province Option.', max_length=255, null=True, verbose_name='Name')),
('country', models.ForeignKey(blank=True, help_text='The country this Province/state belongs to.', null=True, on_delete=django.db.models.deletion.CASCADE, related_name='province_option_country_foundation_public_provinceoption_related', to='foundation_public.CountryOption')),
],
options={
'verbose_name_plural': 'Province Options',
'db_table': 'smeg_province_options',
'verbose_name': 'Province Option',
},
),
migrations.CreateModel(
name='PublicBrand',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created', models.DateTimeField(auto_now_add=True)),
('last_modified', models.DateTimeField(auto_now=True)),
('alternate_name', models.CharField(blank=True, help_text='An alias for the item.', max_length=255, null=True, verbose_name='Alternate Name')),
('description', models.TextField(blank=True, help_text='A short description of the item.', null=True, verbose_name='Description')),
('main_entity_of_page', models.URLField(blank=True, help_text='Indicates a page for which this thing is the main entity being described.', null=True, verbose_name='Main Entity Of Page')),
('name', models.CharField(blank=True, help_text='The name of the item.', max_length=255, null=True, verbose_name='Name')),
('same_as', models.URLField(blank=True, help_text="URL of a reference Web page that unambiguously indicates the item's identity. E.g. the URL of the item's Wikipedia page, Freebase page, or official website.", null=True, verbose_name='Same As')),
('url', models.URLField(blank=True, help_text='URL of the item.', null=True, verbose_name='URL')),
],
options={
'verbose_name_plural': 'Brands',
'db_table': 'smeg_brands',
'verbose_name': 'Brand',
},
),
migrations.CreateModel(
name='PublicContactPoint',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created', models.DateTimeField(auto_now_add=True)),
('last_modified', models.DateTimeField(auto_now=True)),
('alternate_name', models.CharField(blank=True, help_text='An alias for the item.', max_length=255, null=True, verbose_name='Alternate Name')),
('description', models.TextField(blank=True, help_text='A short description of the item.', null=True, verbose_name='Description')),
('main_entity_of_page', models.URLField(blank=True, help_text='Indicates a page for which this thing is the main entity being described.', null=True, verbose_name='Main Entity Of Page')),
('name', models.CharField(blank=True, help_text='The name of the item.', max_length=255, null=True, verbose_name='Name')),
('same_as', models.URLField(blank=True, help_text="URL of a reference Web page that unambiguously indicates the item's identity. E.g. the URL of the item's Wikipedia page, Freebase page, or official website.", null=True, verbose_name='Same As')),
('url', models.URLField(blank=True, help_text='URL of the item.', null=True, verbose_name='URL')),
('area_served', models.CharField(blank=True, help_text='The geographic area where a service or offered item is provided.', max_length=127, null=True, verbose_name='Area Served')),
('contact_type', models.CharField(blank=True, help_text='A person or organization can have different contact points, for different purposes. For example, a sales contact point, a PR contact point and so on. This property is used to specify the kind of contact point.', max_length=127, null=True, verbose_name='Contact Type')),
('email', models.EmailField(blank=True, help_text='Email address.', max_length=254, null=True, verbose_name='Email')),
('fax_number', models.CharField(blank=True, help_text='The fax number.', max_length=31, null=True, verbose_name='Fax Number')),
('product_supported', models.CharField(blank=True, help_text='The product or service this support contact point is related to (such as product support for a particular product line). This can be a specific product or product line (e.g. "iPhone") or a general category of products or services (e.g. "smartphones").', max_length=31, null=True, verbose_name='Product Supported')),
('telephone', models.CharField(blank=True, help_text='The telephone number.', max_length=31, null=True, verbose_name='Telephone')),
],
options={
'verbose_name_plural': 'Contact Points',
'db_table': 'smeg_contact_points',
'verbose_name': 'Contact Point',
},
),
migrations.CreateModel(
name='PublicCountry',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created', models.DateTimeField(auto_now_add=True)),
('last_modified', models.DateTimeField(auto_now=True)),
('alternate_name', models.CharField(blank=True, help_text='An alias for the item.', max_length=255, null=True, verbose_name='Alternate Name')),
('description', models.TextField(blank=True, help_text='A short description of the item.', null=True, verbose_name='Description')),
('main_entity_of_page', models.URLField(blank=True, help_text='Indicates a page for which this thing is the main entity being described.', null=True, verbose_name='Main Entity Of Page')),
('name', models.CharField(blank=True, help_text='The name of the item.', max_length=255, null=True, verbose_name='Name')),
('same_as', models.URLField(blank=True, help_text="URL of a reference Web page that unambiguously indicates the item's identity. E.g. the URL of the item's Wikipedia page, Freebase page, or official website.", null=True, verbose_name='Same As')),
('url', models.URLField(blank=True, help_text='URL of the item.', null=True, verbose_name='URL')),
('fax_number', models.CharField(blank=True, help_text='The fax number.', max_length=31, null=True, verbose_name='Fax Number')),
('global_location_number', models.CharField(blank=True, help_text='The <a href="http://www.gs1.org/gln">Global Location Number</a> (GLN, sometimes also referred to as International Location Number or ILN) of the respective organization, person, or place. The GLN is a 13-digit number used to identify parties and physical locations.', max_length=255, null=True, verbose_name='Global Location Number')),
('has_map', models.URLField(blank=True, help_text='A URL to a map of the place.', null=True, verbose_name='Has Map')),
('isic_v4', models.CharField(blank=True, help_text='The International Standard of Industrial Classification of All Economic Activities (ISIC), Revision 4 code for a particular organization, business person, or place.', max_length=255, null=True, verbose_name='ISIC V4')),
('telephone', models.CharField(blank=True, help_text='The telephone number.', max_length=31, null=True, verbose_name='Telephone')),
],
options={
'verbose_name_plural': 'Countries',
'db_table': 'smeg_countries',
'verbose_name': 'Country',
},
),
migrations.CreateModel(
name='PublicDomain',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('domain', models.CharField(db_index=True, max_length=253, unique=True)),
('is_primary', models.BooleanField(default=True)),
],
options={
'verbose_name_plural': 'Domains',
'db_table': 'smeg_domains',
'verbose_name': 'Domain',
},
),
migrations.CreateModel(
name='PublicFileUpload',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created', models.DateTimeField(auto_now_add=True)),
('last_modified', models.DateTimeField(auto_now=True)),
('datafile', models.FileField(blank=True, help_text='An file of the upload.', null=True, upload_to='upload', verbose_name='File')),
('owner', models.ForeignKey(blank=True, help_text='The user whom owns this object.', null=True, on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)),
],
options={
'verbose_name_plural': 'File Uploads',
'db_table': 'smeg_public_file_uploads',
'verbose_name': 'File Upload',
},
),
migrations.CreateModel(
name='PublicGeoCoordinate',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created', models.DateTimeField(auto_now_add=True)),
('last_modified', models.DateTimeField(auto_now=True)),
('alternate_name', models.CharField(blank=True, help_text='An alias for the item.', max_length=255, null=True, verbose_name='Alternate Name')),
('description', models.TextField(blank=True, help_text='A short description of the item.', null=True, verbose_name='Description')),
('main_entity_of_page', models.URLField(blank=True, help_text='Indicates a page for which this thing is the main entity being described.', null=True, verbose_name='Main Entity Of Page')),
('name', models.CharField(blank=True, help_text='The name of the item.', max_length=255, null=True, verbose_name='Name')),
('same_as', models.URLField(blank=True, help_text="URL of a reference Web page that unambiguously indicates the item's identity. E.g. the URL of the item's Wikipedia page, Freebase page, or official website.", null=True, verbose_name='Same As')),
('url', models.URLField(blank=True, help_text='URL of the item.', null=True, verbose_name='URL')),
('address', models.CharField(blank=True, help_text='Physical address of the item.', max_length=255, null=True, verbose_name='Address')),
('address_country', models.CharField(blank=True, help_text='The country. For example, USA. You can also provide the two-letter <a href="https://en.wikipedia.org/wiki/ISO_3166-1_alpha-2#Officially_assigned_code_elements">ISO 3166-1 alpha-2</a> country code.', max_length=255, null=True, verbose_name='Address Country')),
('elevation', models.FloatField(blank=True, default=0.0, help_text='The elevation of a location (<a href="https://en.wikipedia.org/wiki/World_Geodetic_System">WGS 84</a>).', verbose_name='Elevation')),
('latitude', models.FloatField(blank=True, default=0.0, help_text='The latitude of a location. For example 37.42242 (<a href="https://en.wikipedia.org/wiki/World_Geodetic_System">WGS 84</a>).', verbose_name='Latitude')),
('longitude', models.FloatField(blank=True, default=0.0, help_text='The longitude of a location. For example -122.08585 (<a href="https://en.wikipedia.org/wiki/World_Geodetic_System">WGS 84</a>).', verbose_name='Longitude')),
('postal_code', models.CharField(blank=True, help_text='The postal code. For example, 94043.', max_length=127, null=True, verbose_name='Postal Code')),
],
options={
'verbose_name_plural': 'GeoCoordinates',
'db_table': 'smeg_geocoordinates',
'verbose_name': 'GeoCoordinate',
},
),
migrations.CreateModel(
name='PublicImageUpload',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created', models.DateTimeField(auto_now_add=True)),
('last_modified', models.DateTimeField(auto_now=True)),
('imagefile', models.ImageField(blank=True, help_text='An image of the upload.', null=True, upload_to='upload', verbose_name='Image')),
('owner', models.ForeignKey(blank=True, help_text='The user whom owns this object.', null=True, on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)),
],
options={
'verbose_name_plural': 'Image Uploads',
'db_table': 'smeg_public_image_uploads',
'verbose_name': 'Image Upload',
},
),
migrations.CreateModel(
name='PublicLanguage',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created', models.DateTimeField(auto_now_add=True)),
('last_modified', models.DateTimeField(auto_now=True)),
('alternate_name', models.CharField(blank=True, help_text='An alias for the item.', max_length=255, null=True, verbose_name='Alternate Name')),
('description', models.TextField(blank=True, help_text='A short description of the item.', null=True, verbose_name='Description')),
('main_entity_of_page', models.URLField(blank=True, help_text='Indicates a page for which this thing is the main entity being described.', null=True, verbose_name='Main Entity Of Page')),
('name', models.CharField(blank=True, help_text='The name of the item.', max_length=255, null=True, verbose_name='Name')),
('same_as', models.URLField(blank=True, help_text="URL of a reference Web page that unambiguously indicates the item's identity. E.g. the URL of the item's Wikipedia page, Freebase page, or official website.", null=True, verbose_name='Same As')),
('url', models.URLField(blank=True, help_text='URL of the item.', null=True, verbose_name='URL')),
('image', models.ForeignKey(blank=True, help_text='An image of the item.', null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='abstract_public_thing_image_foundation_public_publiclanguage_related', to='foundation_public.PublicImageUpload')),
('owner', models.ForeignKey(blank=True, help_text='The user whom owns this thing.', null=True, on_delete=django.db.models.deletion.CASCADE, related_name='abstract_public_thing_owner_foundation_public_publiclanguage_related', to=settings.AUTH_USER_MODEL)),
],
options={
'verbose_name_plural': 'Languages',
'db_table': 'smeg_languages',
'verbose_name': 'Language',
},
),
migrations.CreateModel(
name='PublicOpeningHoursSpecification',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created', models.DateTimeField(auto_now_add=True)),
('last_modified', models.DateTimeField(auto_now=True)),
('alternate_name', models.CharField(blank=True, help_text='An alias for the item.', max_length=255, null=True, verbose_name='Alternate Name')),
('description', models.TextField(blank=True, help_text='A short description of the item.', null=True, verbose_name='Description')),
('main_entity_of_page', models.URLField(blank=True, help_text='Indicates a page for which this thing is the main entity being described.', null=True, verbose_name='Main Entity Of Page')),
('name', models.CharField(blank=True, help_text='The name of the item.', max_length=255, null=True, verbose_name='Name')),
('same_as', models.URLField(blank=True, help_text="URL of a reference Web page that unambiguously indicates the item's identity. E.g. the URL of the item's Wikipedia page, Freebase page, or official website.", null=True, verbose_name='Same As')),
('url', models.URLField(blank=True, help_text='URL of the item.', null=True, verbose_name='URL')),
('closes', models.CharField(blank=True, help_text='The closing hour of the place or service on the given day(s) of the week.', max_length=5, null=True, verbose_name='Closes')),
('day_of_week', models.CharField(blank=True, help_text='The day of the week for which these opening hours are valid.', max_length=2, null=True, verbose_name='Day Of Week')),
('opens', models.CharField(blank=True, help_text='The opening hour of the place or service on the given day(s) of the week.', max_length=5, null=True, verbose_name='Opens')),
('valid_from', models.DateField(blank=True, help_text='The date when the item becomes valid.', null=True, verbose_name='Valid From')),
('valid_through', models.DateField(blank=True, help_text='The end of the validity of offer, price specification, or opening hours data.', null=True, verbose_name='Valid Through')),
('image', models.ForeignKey(blank=True, help_text='An image of the item.', null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='abstract_public_thing_image_foundation_public_publicopeninghoursspecification_related', to='foundation_public.PublicImageUpload')),
('owner', models.ForeignKey(blank=True, help_text='The user whom owns this thing.', null=True, on_delete=django.db.models.deletion.CASCADE, related_name='abstract_public_thing_owner_foundation_public_publicopeninghoursspecification_related', to=settings.AUTH_USER_MODEL)),
],
options={
'verbose_name_plural': 'Opening Hours Specifications',
'db_table': 'smeg_opening_hours_specifications',
'verbose_name': 'Opening Hours Specification',
},
),
migrations.CreateModel(
name='PublicOrganization',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('schema_name', models.CharField(max_length=63, unique=True, validators=[django_tenants.postgresql_backend.base._check_schema_name])),
('created', models.DateTimeField(auto_now_add=True)),
('last_modified', models.DateTimeField(auto_now=True)),
('alternate_name', models.CharField(blank=True, help_text='An alias for the item.', max_length=255, null=True, verbose_name='Alternate Name')),
('description', models.TextField(blank=True, help_text='A short description of the item.', null=True, verbose_name='Description')),
('main_entity_of_page', models.URLField(blank=True, help_text='Indicates a page for which this thing is the main entity being described.', null=True, verbose_name='Main Entity Of Page')),
('name', models.CharField(blank=True, help_text='The name of the item.', max_length=255, null=True, verbose_name='Name')),
('same_as', models.URLField(blank=True, help_text="URL of a reference Web page that unambiguously indicates the item's identity. E.g. the URL of the item's Wikipedia page, Freebase page, or official website.", null=True, verbose_name='Same As')),
('url', models.URLField(blank=True, help_text='URL of the item.', null=True, verbose_name='URL')),
('on_trial', models.BooleanField(default=False)),
('paid_until', models.DateField(auto_now_add=True, null=True)),
('is_suspended', models.BooleanField(default=False, help_text='Variable controls if the entire tenant is suspended or not.', verbose_name='Is Suspended')),
('dissolution_date', models.DateField(blank=True, help_text='The date that this organization was dissolved.', null=True, verbose_name='Dissolution Date')),
('duns', models.CharField(blank=True, help_text='The Dun & Bradstreet DUNS number for identifying an organization or business person.', max_length=127, null=True, verbose_name='Additional Name')),
('email', models.EmailField(blank=True, help_text='Email address.', max_length=254, null=True, verbose_name='Email')),
('fax_number', models.CharField(blank=True, help_text='The fax number.', max_length=31, null=True, verbose_name='Fax Number')),
('founding_date', models.DateField(blank=True, help_text='The date that this organization was founded.', null=True, verbose_name='Founding Date')),
('global_location_number', models.CharField(blank=True, help_text='The <a href="http://www.gs1.org/gln">Global Location Number</a> (GLN, sometimes also referred to as International Location Number or ILN) of the respective organization, person, or place. The GLN is a 13-digit number used to identify parties and physical locations.', max_length=255, null=True, verbose_name='Global Location Number')),
('isic_v4', models.CharField(blank=True, help_text='The International Standard of Industrial Classification of All Economic Activities (ISIC), Revision 4 code for a particular organization, business person, or place.', max_length=255, null=True, verbose_name='ISIC V4')),
('legal_name', models.CharField(blank=True, help_text='The official name of the organization, e.g. the registered company name.', max_length=255, null=True, verbose_name='Legal Name')),
('naics', models.CharField(blank=True, help_text='The North American Industry Classification System (NAICS) code for a particular organization or business person.', max_length=127, null=True, verbose_name='NAICS')),
('tax_id', models.CharField(blank=True, help_text='The Tax / Fiscal ID of the organization or person, e.g. the TIN in the US or the CIF/NIF in Spain.', max_length=255, null=True, verbose_name='Tax ID')),
('telephone', models.CharField(blank=True, help_text='The telephone number.', max_length=31, null=True, verbose_name='Telephone')),
('vat_id', models.CharField(blank=True, help_text='The Value-added Tax ID of the organization or person.', max_length=255, null=True, verbose_name='Tax ID')),
('how_discovered', models.CharField(blank=True, choices=[('Google search', 'Google search'), ('SMEgurus.com', 'SMEgurus.com'), ('Social media', 'Social media'), ('Other', 'Other')], help_text='The details of how the User discovered our website.', max_length=127, null=True, verbose_name='How did you hear about SME Gurus?')),
('how_many_served', models.PositiveSmallIntegerField(blank=True, choices=[(1, 'Up to 50 Entrepreneurs and 10 Advisors'), (2, 'Up to 200 Entrepreneurs and 25 advisors'), (3, 'Up to 400 Entrepreneurs and 50 advisors')], help_text='Pick the choice which best describes how many entrepreneurs are served.', null=True, verbose_name='Which SME Gurus package would you like?')),
('is_tos_signed', models.BooleanField(default=False, verbose_name='Is terms of service signed')),
('twitter_url', models.URLField(blank=True, null=True, verbose_name='Twitter')),
('facebook_url', models.URLField(blank=True, null=True, verbose_name='Facebook')),
('instagram_url', models.URLField(blank=True, null=True, verbose_name='Instagram')),
('linkedin_url', models.URLField(blank=True, null=True, verbose_name='Linkedin')),
('github_url', models.URLField(blank=True, null=True, verbose_name='GitHub')),
('google_plus_url', models.URLField(blank=True, null=True, verbose_name='Google Plus')),
('youtube_url', models.URLField(blank=True, null=True, verbose_name='Instagram')),
('flickr_url', models.URLField(blank=True, null=True, verbose_name='Flickr')),
('pintrest_url', models.URLField(blank=True, null=True, verbose_name='Pintrest')),
('reddit_url', models.URLField(blank=True, null=True, verbose_name='Reddit')),
('soundcloud_url', models.URLField(blank=True, null=True, verbose_name='Soundcloud')),
('is_setup', models.BooleanField(default=False, help_text='Variable controls whether the user profile has been setup.', verbose_name='Is this account setup and ready')),
('learning_preference', models.PositiveSmallIntegerField(choices=[(1, 'Traditional Learning Preference'), (2, 'Blended Learning Preference')], default=2, help_text='Indicates what learning preference to use.', verbose_name='Learning Preference')),
('challenge', models.PositiveSmallIntegerField(choices=[(1, 'Traditional Challenge'), (2, 'Real World Challenge')], default=2, help_text='Indicates what world challenge to use.', verbose_name='Challenge')),
('has_mentors', models.BooleanField(default=True, help_text='Variable controls whether external mentors are allowed in our system.', verbose_name='Has mentors.')),
('has_perks', models.BooleanField(default=True, help_text='Variable controls whether perks are allowed in our system.', verbose_name='Has perks.')),
('time_zone', models.CharField(blank=True, default='America/Toronto', help_text='The timezone this Organization belongs to.', max_length=255, null=True, verbose_name='Timezone')),
('salt', models.CharField(blank=True, default=foundation_tenant.utils.generate_hash, help_text='The unique salt value for this Organization which is used in cryptographic signing.', max_length=127, unique=True, verbose_name='Salt')),
],
options={
'verbose_name_plural': 'Organizations',
'db_table': 'smeg_organizations',
'verbose_name': 'Organization',
},
),
migrations.CreateModel(
name='PublicOrganizationRegistration',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created', models.DateTimeField(auto_now_add=True)),
('last_modified', models.DateTimeField(auto_now=True)),
('alternate_name', models.CharField(blank=True, help_text='An alias for the item.', max_length=255, null=True, verbose_name='Alternate Name')),
('description', models.TextField(blank=True, help_text='A short description of the item.', null=True, verbose_name='Description')),
('main_entity_of_page', models.URLField(blank=True, help_text='Indicates a page for which this thing is the main entity being described.', null=True, verbose_name='Main Entity Of Page')),
('same_as', models.URLField(blank=True, help_text="URL of a reference Web page that unambiguously indicates the item's identity. E.g. the URL of the item's Wikipedia page, Freebase page, or official website.", null=True, verbose_name='Same As')),
('url', models.URLField(blank=True, help_text='URL of the item.', null=True, verbose_name='URL')),
('schema_name', models.CharField(blank=True, help_text='The official name of the organization, e.g. the registered company name.', max_length=255, null=True, verbose_name='Legal Name')),
('name', models.CharField(blank=True, help_text='The official name of the organization, e.g. the registered company name.', max_length=255, null=True, verbose_name='Legal Name')),
('image', models.ForeignKey(blank=True, help_text='An image of the item.', null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='abstract_public_thing_image_foundation_public_publicorganizationregistration_related', to='foundation_public.PublicImageUpload')),
('owner', models.ForeignKey(blank=True, help_text='The user whom owns this thing.', null=True, on_delete=django.db.models.deletion.CASCADE, related_name='abstract_public_thing_owner_foundation_public_publicorganizationregistration_related', to=settings.AUTH_USER_MODEL)),
],
options={
'verbose_name_plural': 'Organizations Registration',
'db_table': 'smeg_organization_registration',
'verbose_name': 'Organization Registration',
},
),
migrations.CreateModel(
name='PublicPlace',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created', models.DateTimeField(auto_now_add=True)),
('last_modified', models.DateTimeField(auto_now=True)),
('alternate_name', models.CharField(blank=True, help_text='An alias for the item.', max_length=255, null=True, verbose_name='Alternate Name')),
('description', models.TextField(blank=True, help_text='A short description of the item.', null=True, verbose_name='Description')),
('main_entity_of_page', models.URLField(blank=True, help_text='Indicates a page for which this thing is the main entity being described.', null=True, verbose_name='Main Entity Of Page')),
('name', models.CharField(blank=True, help_text='The name of the item.', max_length=255, null=True, verbose_name='Name')),
('same_as', models.URLField(blank=True, help_text="URL of a reference Web page that unambiguously indicates the item's identity. E.g. the URL of the item's Wikipedia page, Freebase page, or official website.", null=True, verbose_name='Same As')),
('url', models.URLField(blank=True, help_text='URL of the item.', null=True, verbose_name='URL')),
('fax_number', models.CharField(blank=True, help_text='The fax number.', max_length=31, null=True, verbose_name='Fax Number')),
('global_location_number', models.CharField(blank=True, help_text='The <a href="http://www.gs1.org/gln">Global Location Number</a> (GLN, sometimes also referred to as International Location Number or ILN) of the respective organization, person, or place. The GLN is a 13-digit number used to identify parties and physical locations.', max_length=255, null=True, verbose_name='Global Location Number')),
('has_map', models.URLField(blank=True, help_text='A URL to a map of the place.', null=True, verbose_name='Has Map')),
('isic_v4', models.CharField(blank=True, help_text='The International Standard of Industrial Classification of All Economic Activities (ISIC), Revision 4 code for a particular organization, business person, or place.', max_length=255, null=True, verbose_name='ISIC V4')),
('telephone', models.CharField(blank=True, help_text='The telephone number.', max_length=31, null=True, verbose_name='Telephone')),
],
options={
'verbose_name_plural': 'Places',
'db_table': 'smeg_places',
'verbose_name': 'Place',
},
),
migrations.CreateModel(
name='PublicPostalAddress',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created', models.DateTimeField(auto_now_add=True)),
('last_modified', models.DateTimeField(auto_now=True)),
('alternate_name', models.CharField(blank=True, help_text='An alias for the item.', max_length=255, null=True, verbose_name='Alternate Name')),
('description', models.TextField(blank=True, help_text='A short description of the item.', null=True, verbose_name='Description')),
('main_entity_of_page', models.URLField(blank=True, help_text='Indicates a page for which this thing is the main entity being described.', null=True, verbose_name='Main Entity Of Page')),
('name', models.CharField(blank=True, help_text='The name of the item.', max_length=255, null=True, verbose_name='Name')),
('same_as', models.URLField(blank=True, help_text="URL of a reference Web page that unambiguously indicates the item's identity. E.g. the URL of the item's Wikipedia page, Freebase page, or official website.", null=True, verbose_name='Same As')),
('url', models.URLField(blank=True, help_text='URL of the item.', null=True, verbose_name='URL')),
('postal_code', models.CharField(blank=True, default='', help_text='The postal code. For example, 94043.', max_length=127, null=True, verbose_name='Postal Code')),
('locality', models.CharField(blank=True, db_index=True, default='', help_text='The locality. For example, Mountain View.', max_length=127, null=True, verbose_name='Address Locality')),
('street_number', models.PositiveSmallIntegerField(blank=True, help_text='The street number.', null=True, verbose_name='Street Number')),
('suffix', models.CharField(blank=True, choices=[('A', 'A'), ('B', 'B'), ('C', 'C'), ('D', 'D'), ('E', 'E'), ('F', 'F'), ('G', 'G'), ('H', 'H'), ('I', 'I'), ('J', 'J'), ('K', 'K'), ('L', 'L'), ('M', 'M'), ('N', 'N'), ('O', 'O'), ('P', 'P'), ('Q', 'Q'), ('R', 'R'), ('S', 'S'), ('T', 'T'), ('U', 'U'), ('V', 'V'), ('W', 'W'), ('X', 'X'), ('Y', 'Y'), ('Z', 'Z'), ('¼', '¼'), ('½', '½'), ('¾', '¾')], help_text='The suffix.', max_length=1, null=True, verbose_name='Suffix')),
('street_name', models.CharField(blank=True, default='', help_text='The street name.', max_length=127, null=True, verbose_name='Street Name')),
('suite_number', models.CharField(blank=True, default='', help_text='The suite #.', max_length=7, null=True, verbose_name='Suite')),
('address_line_2', models.CharField(blank=True, default='', help_text='The address line 1.', max_length=31, null=True, verbose_name='Address Line 2')),
('address_line_3', models.CharField(blank=True, default='', help_text='The address line 3.', max_length=31, null=True, verbose_name='Address Line 3')),
('latitude', models.FloatField(blank=True, default=0.0, help_text='The latitude of a location. For example 37.42242 (<a href="https://en.wikipedia.org/wiki/World_Geodetic_System">WGS 84</a>).', verbose_name='Latitude')),
('longitude', models.FloatField(blank=True, default=0.0, help_text='The longitude of a location. For example -122.08585 (<a href="https://en.wikipedia.org/wiki/World_Geodetic_System">WGS 84</a>).', verbose_name='Longitude')),
('country', models.ForeignKey(blank=True, help_text='The country. For example, USA. You can also provide the two-letter <a href="https://en.wikipedia.org/wiki/ISO_3166-1_alpha-2#Officially_assigned_code_elements">ISO 3166-1 alpha-2</a> country code.', null=True, on_delete=django.db.models.deletion.CASCADE, related_name='postaladdress_country_foundation_public_publicpostaladdress_related', to='foundation_public.CountryOption')),
('image', models.ForeignKey(blank=True, help_text='An image of the item.', null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='abstract_public_thing_image_foundation_public_publicpostaladdress_related', to='foundation_public.PublicImageUpload')),
('owner', models.ForeignKey(blank=True, help_text='The user whom owns this thing.', null=True, on_delete=django.db.models.deletion.CASCADE, related_name='abstract_public_thing_owner_foundation_public_publicpostaladdress_related', to=settings.AUTH_USER_MODEL)),
('region', models.ForeignKey(blank=True, help_text='The region. For example, CA.', null=True, on_delete=django.db.models.deletion.CASCADE, related_name='postaladdress_province_foundation_public_publicpostaladdress_related', to='foundation_public.ProvinceOption')),
],
options={
'verbose_name_plural': 'Postal Addresses',
'db_table': 'smeg_postal_addresses',
'verbose_name': 'Postal Address',
},
),
migrations.CreateModel(
name='PublicVisitor',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created', models.DateTimeField(auto_now_add=True)),
('path', models.CharField(help_text='The resource path that was visted.', max_length=1027, verbose_name='Path')),
('ip_address', models.GenericIPAddressField(help_text='The location where the vistor is from.', verbose_name='IP Address')),
('is_suspicious', models.BooleanField(default=False, help_text='Variable indicates whether this visitor has malicious intent.')),
],
options={
'verbose_name_plural': 'Public Visitors',
'db_table': 'smeg_public_visitors',
'verbose_name': 'Public Visitor',
},
),
migrations.AddField(
model_name='publicplace',
name='address',
field=models.ForeignKey(blank=True, help_text='Physical address of the item.', null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='place_address_foundation_public_publicplace_related', to='foundation_public.PublicPostalAddress'),
),
migrations.AddField(
model_name='publicplace',
name='geo',
field=models.ForeignKey(blank=True, help_text='The geo coordinates of the place.', null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='place_geo_foundation_public_publicplace_related', to='foundation_public.PublicGeoCoordinate'),
),
migrations.AddField(
model_name='publicplace',
name='image',
field=models.ForeignKey(blank=True, help_text='An image of the item.', null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='abstract_public_thing_image_foundation_public_publicplace_related', to='foundation_public.PublicImageUpload'),
),
migrations.AddField(
model_name='publicplace',
name='logo',
field=models.ForeignKey(blank=True, help_text='An associated logo.', null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='place_logo_foundation_public_publicplace_related', to='foundation_public.PublicImageUpload'),
),
migrations.AddField(
model_name='publicplace',
name='opening_hours_specification',
field=models.ManyToManyField(blank=True, help_text='The hours during which this service or contact is available.', related_name='place_hours_available_foundation_public_publicplace_related', to='foundation_public.PublicOpeningHoursSpecification'),
),
migrations.AddField(
model_name='publicplace',
name='owner',
field=models.ForeignKey(blank=True, help_text='The user whom owns this thing.', null=True, on_delete=django.db.models.deletion.CASCADE, related_name='abstract_public_thing_owner_foundation_public_publicplace_related', to=settings.AUTH_USER_MODEL),
),
migrations.AddField(
model_name='publicplace',
name='photo',
field=models.ForeignKey(blank=True, help_text='A photograph of this place.', null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='place_photo_foundation_public_publicplace_related', to='foundation_public.PublicImageUpload'),
),
migrations.AddField(
model_name='publicorganization',
name='address',
field=models.ForeignKey(blank=True, help_text='Physical address of the item.', null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='organization_address_foundation_public_publicorganization_related', to='foundation_public.PublicPostalAddress'),
),
migrations.AddField(
model_name='publicorganization',
name='brands',
field=models.ManyToManyField(blank=True, help_text='The brand(s) associated with a product or service, or the brand(s) maintained by an organization or business person.', related_name='organization_brands_foundation_public_publicorganization_related', to='foundation_public.PublicBrand'),
),
migrations.AddField(
model_name='publicorganization',
name='contact_point',
field=models.ForeignKey(blank=True, help_text='A contact point for a person or organization', null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='organization_contact_point_foundation_public_publicorganization_related', to='foundation_public.PublicContactPoint'),
),
migrations.AddField(
model_name='publicorganization',
name='founding_location',
field=models.ForeignKey(blank=True, help_text='The place where the Organization was founded.', null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='organization_founding_location_foundation_public_publicorganization_related', to='foundation_public.PublicPlace'),
),
migrations.AddField(
model_name='publicorganization',
name='image',
field=models.ForeignKey(blank=True, help_text='An image of the item.', null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='abstract_public_thing_image_foundation_public_publicorganization_related', to='foundation_public.PublicImageUpload'),
),
migrations.AddField(
model_name='publicorganization',
name='logo',
field=models.ForeignKey(blank=True, help_text='An associated logo.', null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='organization_logo_foundation_public_publicorganization_related', to='foundation_public.PublicImageUpload'),
),
migrations.AddField(
model_name='publicorganization',
name='owner',
field=models.ForeignKey(blank=True, help_text='The user whom owns this thing.', null=True, on_delete=django.db.models.deletion.CASCADE, related_name='abstract_public_thing_owner_foundation_public_publicorganization_related', to=settings.AUTH_USER_MODEL),
),
migrations.AddField(
model_name='publicorganization',
name='users',
field=models.ManyToManyField(blank=True, help_text='The users that belong to this Organization.', related_name='organization_users_foundation_public_publicorganization_related', to=settings.AUTH_USER_MODEL),
),
migrations.AddField(
model_name='publicgeocoordinate',
name='image',
field=models.ForeignKey(blank=True, help_text='An image of the item.', null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='abstract_public_thing_image_foundation_public_publicgeocoordinate_related', to='foundation_public.PublicImageUpload'),
),
migrations.AddField(
model_name='publicgeocoordinate',
name='owner',
field=models.ForeignKey(blank=True, help_text='The user whom owns this thing.', null=True, on_delete=django.db.models.deletion.CASCADE, related_name='abstract_public_thing_owner_foundation_public_publicgeocoordinate_related', to=settings.AUTH_USER_MODEL),
),
migrations.AddField(
model_name='publicdomain',
name='tenant',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='domains', to='foundation_public.PublicOrganization'),
),
migrations.AddField(
model_name='publiccountry',
name='address',
field=models.ForeignKey(blank=True, help_text='Physical address of the item.', null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='place_address_foundation_public_publiccountry_related', to='foundation_public.PublicPostalAddress'),
),
migrations.AddField(
model_name='publiccountry',
name='geo',
field=models.ForeignKey(blank=True, help_text='The geo coordinates of the place.', null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='place_geo_foundation_public_publiccountry_related', to='foundation_public.PublicGeoCoordinate'),
),
migrations.AddField(
model_name='publiccountry',
name='image',
field=models.ForeignKey(blank=True, help_text='An image of the item.', null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='abstract_public_thing_image_foundation_public_publiccountry_related', to='foundation_public.PublicImageUpload'),
),
migrations.AddField(
model_name='publiccountry',
name='logo',
field=models.ForeignKey(blank=True, help_text='An associated logo.', null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='place_logo_foundation_public_publiccountry_related', to='foundation_public.PublicImageUpload'),
),
migrations.AddField(
model_name='publiccountry',
name='opening_hours_specification',
field=models.ManyToManyField(blank=True, help_text='The hours during which this service or contact is available.', related_name='place_hours_available_foundation_public_publiccountry_related', to='foundation_public.PublicOpeningHoursSpecification'),
),
migrations.AddField(
model_name='publiccountry',
name='owner',
field=models.ForeignKey(blank=True, help_text='The user whom owns this thing.', null=True, on_delete=django.db.models.deletion.CASCADE, related_name='abstract_public_thing_owner_foundation_public_publiccountry_related', to=settings.AUTH_USER_MODEL),
),
migrations.AddField(
model_name='publiccountry',
name='photo',
field=models.ForeignKey(blank=True, help_text='A photograph of this place.', null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='place_photo_foundation_public_publiccountry_related', to='foundation_public.PublicImageUpload'),
),
migrations.AddField(
model_name='publiccontactpoint',
name='available_language',
field=models.ForeignKey(blank=True, help_text='A language someone may use with the item.', null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='public_contact_point_available_language_foundation_public_publiccontactpoint_related', to='foundation_public.PublicLanguage'),
),
migrations.AddField(
model_name='publiccontactpoint',
name='hours_available',
field=models.ManyToManyField(blank=True, help_text='The hours during which this service or contact is available.', related_name='public_contact_point_hours_available_foundation_public_publiccontactpoint_related', to='foundation_public.PublicOpeningHoursSpecification'),
),
migrations.AddField(
model_name='publiccontactpoint',
name='image',
field=models.ForeignKey(blank=True, help_text='An image of the item.', null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='abstract_public_thing_image_foundation_public_publiccontactpoint_related', to='foundation_public.PublicImageUpload'),
),
migrations.AddField(
model_name='publiccontactpoint',
name='owner',
field=models.ForeignKey(blank=True, help_text='The user whom owns this thing.', null=True, on_delete=django.db.models.deletion.CASCADE, related_name='abstract_public_thing_owner_foundation_public_publiccontactpoint_related', to=settings.AUTH_USER_MODEL),
),
migrations.AddField(
model_name='publicbrand',
name='image',
field=models.ForeignKey(blank=True, help_text='An image of the item.', null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='abstract_public_thing_image_foundation_public_publicbrand_related', to='foundation_public.PublicImageUpload'),
),
migrations.AddField(
model_name='publicbrand',
name='logo',
field=models.ForeignKey(blank=True, help_text='An associated logo.', null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='brand_logo', to='foundation_public.PublicImageUpload'),
),
migrations.AddField(
model_name='publicbrand',
name='owner',
field=models.ForeignKey(blank=True, help_text='The user whom owns this thing.', null=True, on_delete=django.db.models.deletion.CASCADE, related_name='abstract_public_thing_owner_foundation_public_publicbrand_related', to=settings.AUTH_USER_MODEL),
),
migrations.AddField(
model_name='cityoption',
name='country',
field=models.ForeignKey(blank=True, help_text='The country this City belongs to.', null=True, on_delete=django.db.models.deletion.CASCADE, related_name='city_country_foundation_public_cityoption_related', to='foundation_public.CountryOption'),
),
migrations.AddField(
model_name='cityoption',
name='province',
field=models.ForeignKey(blank=True, help_text='The Province this City belongs to.', null=True, on_delete=django.db.models.deletion.CASCADE, related_name='city_province_foundation_public_cityoption_related', to='foundation_public.ProvinceOption'),
),
migrations.CreateModel(
name='AlphabeticallySortedBannedDomain',
fields=[
],
options={
'verbose_name_plural': 'Alphabetically Sorted Banned Domains',
'proxy': True,
'ordering': ('-name',),
'verbose_name': 'Alphabetically Sorted Banned Domain',
},
bases=('foundation_public.banneddomain',),
),
migrations.CreateModel(
name='AlphabeticallySortedBannedWord',
fields=[
],
options={
'verbose_name_plural': 'Alphabetically Sorted Banned Words',
'proxy': True,
'ordering': ('-text',),
'verbose_name': 'Alphabetically Sorted Banned Word',
},
bases=('foundation_public.bannedword',),
),
migrations.CreateModel(
name='SortedBannedIPByLatestCreationDate',
fields=[
],
options={
'verbose_name_plural': 'Sorted Banned IPs By Latest Creation Date',
'proxy': True,
'ordering': ('-banned_on',),
'verbose_name': 'Sorted Banned IP By Latest Creation Date',
},
bases=('foundation_public.bannedip',),
),
migrations.CreateModel(
name='SortedPublicVisitorsByLatestCreation',
fields=[
],
options={
'verbose_name_plural': 'Sorted Public Visitors by Latest Creation Date',
'proxy': True,
'ordering': ('-created',),
'verbose_name': 'Sorted Public Visitor by Latest Creation Date',
},
bases=('foundation_public.publicvisitor',),
),
]
| 85.765794 | 488 | 0.662984 | 6,666 | 55,662 | 5.346985 | 0.076358 | 0.062032 | 0.050837 | 0.071066 | 0.814522 | 0.782426 | 0.759616 | 0.719131 | 0.693432 | 0.649693 | 0 | 0.007749 | 0.209407 | 55,662 | 648 | 489 | 85.898148 | 0.8018 | 0.001222 | 0 | 0.6 | 1 | 0.042188 | 0.375097 | 0.083143 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.009375 | 0 | 0.015625 | 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 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
7778296520e479a2964be492aef3629c481ac7c6 | 5,876 | py | Python | tests/request/test_parameter_empty.py | Colin-b/pyxelrest | 5c8db40d1537d0f9c29acd928ec9519b6bb557ec | [
"MIT"
] | 7 | 2018-12-07T10:08:53.000Z | 2021-03-24T07:52:36.000Z | tests/request/test_parameter_empty.py | Colin-b/pyxelrest | 5c8db40d1537d0f9c29acd928ec9519b6bb557ec | [
"MIT"
] | 76 | 2018-12-07T10:29:48.000Z | 2021-11-17T00:54:24.000Z | tests/request/test_parameter_empty.py | Colin-b/pyxelrest | 5c8db40d1537d0f9c29acd928ec9519b6bb557ec | [
"MIT"
] | null | null | null | from responses import RequestsMock
from tests import loader
def test_plain_without_parameter(responses: RequestsMock, tmpdir):
responses.add(
responses.GET,
url="http://test/",
json={
"swagger": "2.0",
"paths": {
"/test": {
"get": {
"operationId": "get_plain_text_without_parameter",
"produces": ["text/plain"],
"responses": {
"200": {
"description": "return value",
"schema": {"type": "string"},
}
},
}
}
},
},
match_querystring=True,
)
generated_functions = loader.load(
tmpdir,
{
"without_parameter": {
"open_api": {"definition": "http://test/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
responses.add(
responses.GET,
url="http://test/test",
body="string value returned should be truncated so that the following information cannot be seen by user, "
"because of the fact that Excel does not allow more than 255 characters in a cell. "
"Only the 255 characters will be returned by the user defined functions: YOU CANNOT RECEIVE THIS!!!!!!",
match_querystring=True,
)
assert (
generated_functions.without_parameter_get_plain_text_without_parameter()
== "string value returned should be truncated so that the following information cannot be seen by user, because of the fact that Excel does not allow more than 255 characters in a cell. Only the 255 characters will be returned by the user defined functions: "
)
def test_post_without_parameter(responses: RequestsMock, tmpdir):
responses.add(
responses.GET,
url="http://test/",
json={
"swagger": "2.0",
"paths": {
"/test": {
"post": {
"operationId": "post_without_parameter",
"responses": {
"200": {"description": "POST performed properly"}
},
}
}
},
},
match_querystring=True,
)
generated_functions = loader.load(
tmpdir,
{
"without_parameter": {
"open_api": {"definition": "http://test/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
responses.add(
responses.POST, url="http://test/test", json={}, match_querystring=True
)
assert generated_functions.without_parameter_post_without_parameter() == [[""]]
def test_put_without_parameter(responses: RequestsMock, tmpdir):
responses.add(
responses.GET,
url="http://test/",
json={
"swagger": "2.0",
"paths": {
"/test": {
"put": {
"operationId": "put_without_parameter",
"responses": {"200": {"description": "PUT performed properly"}},
}
}
},
},
match_querystring=True,
)
generated_functions = loader.load(
tmpdir,
{
"without_parameter": {
"open_api": {"definition": "http://test/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
responses.add(
responses.PUT, url="http://test/test", json={}, match_querystring=True
)
assert generated_functions.without_parameter_put_without_parameter() == [[""]]
def test_delete_without_parameter(responses: RequestsMock, tmpdir):
responses.add(
responses.GET,
url="http://test/",
json={
"swagger": "2.0",
"paths": {
"/test": {
"delete": {
"operationId": "delete_without_parameter",
"responses": {
"200": {"description": "DELETE performed properly"}
},
}
}
},
},
match_querystring=True,
)
generated_functions = loader.load(
tmpdir,
{
"without_parameter": {
"open_api": {"definition": "http://test/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
responses.add(
responses.DELETE, url="http://test/test", json={}, match_querystring=True
)
assert generated_functions.without_parameter_delete_without_parameter() == [[""]]
def test_service_without_sync_does_not_have_sync(responses: RequestsMock, tmpdir):
responses.add(
responses.GET,
url="http://test/",
json={
"swagger": "2.0",
"paths": {
"/test": {
"delete": {
"operationId": "delete_without_parameter",
"responses": {
"200": {"description": "DELETE performed properly"}
},
}
}
},
},
match_querystring=True,
)
generated_functions = loader.load(
tmpdir,
{
"without_parameter": {
"open_api": {"definition": "http://test/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert not hasattr(
generated_functions, "vba_without_parameter_delete_without_parameter"
)
| 31.255319 | 268 | 0.477025 | 469 | 5,876 | 5.778252 | 0.189765 | 0.141697 | 0.069742 | 0.053137 | 0.860148 | 0.788561 | 0.788561 | 0.783395 | 0.761255 | 0.761255 | 0 | 0.010511 | 0.400953 | 5,876 | 187 | 269 | 31.42246 | 0.759375 | 0 | 0 | 0.473684 | 0 | 0.005848 | 0.281654 | 0.028761 | 0 | 0 | 0 | 0 | 0.02924 | 1 | 0.02924 | false | 0 | 0.011696 | 0 | 0.040936 | 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 |
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