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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
eddb7b91d6d5edcdefb53633a4ca2f99f6028413
| 63
|
py
|
Python
|
python/nlusvc/displacy/dto/__init__.py
|
jiportilla/ontology
|
8a66bb7f76f805c64fc76cfc40ab7dfbc1146f40
|
[
"MIT"
] | null | null | null |
python/nlusvc/displacy/dto/__init__.py
|
jiportilla/ontology
|
8a66bb7f76f805c64fc76cfc40ab7dfbc1146f40
|
[
"MIT"
] | null | null | null |
python/nlusvc/displacy/dto/__init__.py
|
jiportilla/ontology
|
8a66bb7f76f805c64fc76cfc40ab7dfbc1146f40
|
[
"MIT"
] | null | null | null |
from .displacy_entity_generator import DisplacyEntityGenerator
| 31.5
| 62
| 0.920635
| 6
| 63
| 9.333333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.063492
| 63
| 1
| 63
| 63
| 0.949153
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
eddf6943097b3601f7342c46bb299220a540701b
| 383
|
py
|
Python
|
mak/libs/pyxx/cxx/grammar/declaration/using_enum.py
|
bugengine/BugEngine
|
1b3831d494ee06b0bd74a8227c939dd774b91226
|
[
"BSD-3-Clause"
] | 4
|
2015-05-13T16:28:36.000Z
|
2017-05-24T15:34:14.000Z
|
mak/libs/pyxx/cxx/grammar/declaration/using_enum.py
|
bugengine/BugEngine
|
1b3831d494ee06b0bd74a8227c939dd774b91226
|
[
"BSD-3-Clause"
] | null | null | null |
mak/libs/pyxx/cxx/grammar/declaration/using_enum.py
|
bugengine/BugEngine
|
1b3831d494ee06b0bd74a8227c939dd774b91226
|
[
"BSD-3-Clause"
] | 1
|
2017-03-21T08:28:07.000Z
|
2017-03-21T08:28:07.000Z
|
"""
using-enum-declaration:
using elaborated-enum-specifier ;
"""
import glrp
from ...parser import cxx98
from be_typing import TYPE_CHECKING
@glrp.rule('using-enum-declaration : "using" elaborated-enum-specifier ";"')
@cxx98
def using_enum_declaration(self, p):
# type: (CxxParser, glrp.Production) -> None
pass
if TYPE_CHECKING:
from ...parser import CxxParser
| 20.157895
| 76
| 0.723238
| 48
| 383
| 5.666667
| 0.479167
| 0.099265
| 0.220588
| 0.183824
| 0.352941
| 0.352941
| 0.352941
| 0
| 0
| 0
| 0
| 0.012308
| 0.151436
| 383
| 19
| 77
| 20.157895
| 0.824615
| 0.274151
| 0
| 0
| 0
| 0
| 0.228782
| 0.173432
| 0
| 0
| 0
| 0
| 0
| 1
| 0.111111
| false
| 0.111111
| 0.444444
| 0
| 0.555556
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 0
|
0
| 5
|
61005a7c75432e9ae42ede4d5ac15e5f374b5507
| 19
|
py
|
Python
|
myenv/Lib/site-packages/stripe/version.py
|
thestackcoder/notifao_app
|
e21ab3c0eed72a64ee24508b92045de13c8385bb
|
[
"MIT"
] | null | null | null |
myenv/Lib/site-packages/stripe/version.py
|
thestackcoder/notifao_app
|
e21ab3c0eed72a64ee24508b92045de13c8385bb
|
[
"MIT"
] | null | null | null |
myenv/Lib/site-packages/stripe/version.py
|
thestackcoder/notifao_app
|
e21ab3c0eed72a64ee24508b92045de13c8385bb
|
[
"MIT"
] | null | null | null |
VERSION = "2.50.0"
| 9.5
| 18
| 0.578947
| 4
| 19
| 2.75
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.25
| 0.157895
| 19
| 1
| 19
| 19
| 0.4375
| 0
| 0
| 0
| 0
| 0
| 0.315789
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
610dde3eaecfbbd308febda89f23fdad9f9119a4
| 139
|
py
|
Python
|
jne/utils.py
|
kangfend/py-jne
|
622643f0ab0e4c848a2e8578ec9946716984da34
|
[
"MIT"
] | 15
|
2015-06-13T22:39:10.000Z
|
2016-10-09T05:03:27.000Z
|
jne/utils.py
|
kangfend/py-jne
|
622643f0ab0e4c848a2e8578ec9946716984da34
|
[
"MIT"
] | 2
|
2015-08-28T13:44:18.000Z
|
2016-01-23T10:06:31.000Z
|
jne/utils.py
|
kangfend/py-jne
|
622643f0ab0e4c848a2e8578ec9946716984da34
|
[
"MIT"
] | 10
|
2015-03-28T04:34:45.000Z
|
2021-09-04T09:12:03.000Z
|
import json
def pretty_print(text):
"""This utils used for print pretty json"""
print json.dumps(text, indent=2, sort_keys=True)
| 19.857143
| 52
| 0.705036
| 22
| 139
| 4.363636
| 0.727273
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.008772
| 0.179856
| 139
| 6
| 53
| 23.166667
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.333333
| null | null | 0.666667
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 1
|
0
| 5
|
611169f30f1750c8f1f5f07f7667caa4353a87fb
| 40
|
py
|
Python
|
dmaap/dmaapcontrollerif/__init__.py
|
onap/ccsdk-platform-plugins
|
c1dfbc118f75474b57377447442bd550dd58f1e1
|
[
"Apache-2.0"
] | 1
|
2020-07-14T14:22:04.000Z
|
2020-07-14T14:22:04.000Z
|
dmaap/dmaapcontrollerif/__init__.py
|
alex-sh2020/dcaegen2-platform-plugins
|
c5abb9b34468400bdcdd3ce23595af41ac03cd80
|
[
"Apache-2.0",
"CC-BY-4.0"
] | null | null | null |
dmaap/dmaapcontrollerif/__init__.py
|
alex-sh2020/dcaegen2-platform-plugins
|
c5abb9b34468400bdcdd3ce23595af41ac03cd80
|
[
"Apache-2.0",
"CC-BY-4.0"
] | 1
|
2020-07-14T19:02:05.000Z
|
2020-07-14T19:02:05.000Z
|
# DMaaP Bus Controller interface library
| 40
| 40
| 0.85
| 5
| 40
| 6.8
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.125
| 40
| 1
| 40
| 40
| 0.971429
| 0.95
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
61147373450b1b29dfcc15bb1bf5d047d010a877
| 168
|
py
|
Python
|
luxem/__init__.py
|
Rendaw/luxem-python
|
c81de2f573fc646d16c746acf7cb7da63a199eb2
|
[
"BSD-2-Clause"
] | null | null | null |
luxem/__init__.py
|
Rendaw/luxem-python
|
c81de2f573fc646d16c746acf7cb7da63a199eb2
|
[
"BSD-2-Clause"
] | null | null | null |
luxem/__init__.py
|
Rendaw/luxem-python
|
c81de2f573fc646d16c746acf7cb7da63a199eb2
|
[
"BSD-2-Clause"
] | null | null | null |
from _luxem import Reader, to_ascii16, from_ascii16
from luxem.struct import Typed
from luxem.read import load
loads = load
from luxem.write import dump, dumps, Writer
| 28
| 51
| 0.815476
| 27
| 168
| 4.962963
| 0.555556
| 0.268657
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.027586
| 0.136905
| 168
| 5
| 52
| 33.6
| 0.896552
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.8
| 0
| 0.8
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
b62fba3135ecc22de76c3d70195022e9172fe712
| 144
|
py
|
Python
|
notion2md/color.py
|
The-Soloist/notion2md
|
1fb35b7798b273a89a4d280cd1a86b9cf9de88d5
|
[
"MIT"
] | null | null | null |
notion2md/color.py
|
The-Soloist/notion2md
|
1fb35b7798b273a89a4d280cd1a86b9cf9de88d5
|
[
"MIT"
] | null | null | null |
notion2md/color.py
|
The-Soloist/notion2md
|
1fb35b7798b273a89a4d280cd1a86b9cf9de88d5
|
[
"MIT"
] | null | null | null |
black = "\033[1;30m"
red = "\033[1;31m"
green = "\033[01;32m"
yellow = "\033[01;33m"
blue = "\033[01;34m"
white = "\033[01;37m"
end = "\033[0m"
| 18
| 22
| 0.569444
| 27
| 144
| 3.037037
| 0.62963
| 0.243902
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.357724
| 0.145833
| 144
| 7
| 23
| 20.571429
| 0.308943
| 0
| 0
| 0
| 0
| 0
| 0.493056
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
b635f0d40cb3101837e75e9dc809c6fe5a254ffe
| 149
|
py
|
Python
|
problems/0493/compute.py
|
Dynortice/Project-Euler
|
99a0201b5d5f147eab77fc52d9db8995045cded0
|
[
"MIT"
] | null | null | null |
problems/0493/compute.py
|
Dynortice/Project-Euler
|
99a0201b5d5f147eab77fc52d9db8995045cded0
|
[
"MIT"
] | null | null | null |
problems/0493/compute.py
|
Dynortice/Project-Euler
|
99a0201b5d5f147eab77fc52d9db8995045cded0
|
[
"MIT"
] | null | null | null |
from math import prod
def compute(n: int, k: int) -> float:
return round(7 * (1 - prod((i - k) / i for i in range(n // 7 * 6 + 1, n + 1))), 9)
| 24.833333
| 86
| 0.530201
| 30
| 149
| 2.633333
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.064815
| 0.275168
| 149
| 5
| 87
| 29.8
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0.333333
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 5
|
b64988acdfd787dd4e82daec7148ef1883880c19
| 25
|
py
|
Python
|
python/testData/performance/overloads/fixture/overloads/__init__.py
|
06needhamt/intellij-community
|
63d7b8030e4fdefeb4760e511e289f7e6b3a5c5b
|
[
"Apache-2.0"
] | null | null | null |
python/testData/performance/overloads/fixture/overloads/__init__.py
|
06needhamt/intellij-community
|
63d7b8030e4fdefeb4760e511e289f7e6b3a5c5b
|
[
"Apache-2.0"
] | null | null | null |
python/testData/performance/overloads/fixture/overloads/__init__.py
|
06needhamt/intellij-community
|
63d7b8030e4fdefeb4760e511e289f7e6b3a5c5b
|
[
"Apache-2.0"
] | null | null | null |
def func(x, y):
pass
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| 15
| 0.52
| 5
| 25
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|
0
| 5
|
b66b0abcae2e9184f6893e0b8a75687e592b112c
| 1,285
|
py
|
Python
|
build/lib/bandwidth/voice/models/disconnect_cause_enum.py
|
Spaced-Out/python-bandwidth-sdk
|
5332f29d1c093003444384f63a9d4a00843c954f
|
[
"MIT"
] | null | null | null |
build/lib/bandwidth/voice/models/disconnect_cause_enum.py
|
Spaced-Out/python-bandwidth-sdk
|
5332f29d1c093003444384f63a9d4a00843c954f
|
[
"MIT"
] | null | null | null |
build/lib/bandwidth/voice/models/disconnect_cause_enum.py
|
Spaced-Out/python-bandwidth-sdk
|
5332f29d1c093003444384f63a9d4a00843c954f
|
[
"MIT"
] | 1
|
2020-12-01T15:25:51.000Z
|
2020-12-01T15:25:51.000Z
|
# -*- coding: utf-8 -*-
"""
bandwidth
This file was automatically generated by APIMATIC v2.0 ( https://apimatic.io ).
"""
class DisconnectCauseEnum(object):
"""Implementation of the 'DisconnectCause' enum.
TODO: type enum description here.
Attributes:
BUSY: TODO: type description here.
CALLBACKERROR: TODO: type description here.
CANCEL: TODO: type description here.
ERROR: TODO: type description here.
HANGUP: TODO: type description here.
INVALIDBXML: TODO: type description here.
REJECTED: TODO: type description here.
TIMEOUT: TODO: type description here.
ACCOUNTLIMIT: TODO: type description here.
NODECAPACITYEXCEEDED: TODO: type description here.
UNKNOWN: TODO: type description here.
APPLICATIONERROR: TODO: type description here.
"""
BUSY = 'busy'
CALLBACKERROR = 'callback-error'
CANCEL = 'cancel'
ERROR = 'error'
HANGUP = 'hangup'
INVALIDBXML = 'invalid-bxml'
REJECTED = 'rejected'
TIMEOUT = 'timeout'
ACCOUNTLIMIT = 'account-limit'
NODECAPACITYEXCEEDED = 'node-capacity-exceeded'
UNKNOWN = 'unknown'
APPLICATIONERROR = 'application-error'
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| 80
| 0.627237
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|
0
| 5
|
fcac7fe96e0430e69411dd4b9572f3298d31e422
| 88
|
py
|
Python
|
split_schedule/errors.py
|
sanders41/split-schedule
|
bf06b3c14f035f6057e4e3aeb8d9afaec65dce85
|
[
"MIT"
] | null | null | null |
split_schedule/errors.py
|
sanders41/split-schedule
|
bf06b3c14f035f6057e4e3aeb8d9afaec65dce85
|
[
"MIT"
] | 90
|
2021-02-23T03:01:29.000Z
|
2022-03-28T21:10:11.000Z
|
split_schedule/errors.py
|
sanders41/split-schedule
|
bf06b3c14f035f6057e4e3aeb8d9afaec65dce85
|
[
"MIT"
] | null | null | null |
class NoScheduleError(Exception):
pass
class SchedulingError(Exception):
pass
| 12.571429
| 33
| 0.75
| 8
| 88
| 8.25
| 0.625
| 0.393939
| 0
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| 0
| 0.181818
| 88
| 6
| 34
| 14.666667
| 0.916667
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| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
1e0ed9639458ffbc0cde9e78e007150cad47b135
| 237
|
py
|
Python
|
user/admin.py
|
calumlim/talentalps
|
cc66eabf71e04b6ab5831ee15f57e771cba82279
|
[
"FSFAP"
] | null | null | null |
user/admin.py
|
calumlim/talentalps
|
cc66eabf71e04b6ab5831ee15f57e771cba82279
|
[
"FSFAP"
] | null | null | null |
user/admin.py
|
calumlim/talentalps
|
cc66eabf71e04b6ab5831ee15f57e771cba82279
|
[
"FSFAP"
] | null | null | null |
from django.contrib import admin
from . import models
# Register your models here.
admin.site.register(models.UserProfile)
admin.site.register(models.Candidate)
admin.site.register(models.Company)
admin.site.register(models.CompanyImage)
| 33.857143
| 40
| 0.831224
| 32
| 237
| 6.15625
| 0.4375
| 0.182741
| 0.345178
| 0.467005
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| 0
| 0.067511
| 237
| 7
| 40
| 33.857143
| 0.891403
| 0.109705
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| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
1eae734936bb5f5f20b1a21628c6561d92b1f27b
| 82
|
py
|
Python
|
python_modules/dagster/dagster/core/launcher/__init__.py
|
JPeer264/dagster-fork
|
32cc87a36134be7c442fa85d6867eb1d3301aea0
|
[
"Apache-2.0"
] | 1
|
2020-09-19T16:35:59.000Z
|
2020-09-19T16:35:59.000Z
|
python_modules/dagster/dagster/core/launcher/__init__.py
|
JPeer264/dagster-fork
|
32cc87a36134be7c442fa85d6867eb1d3301aea0
|
[
"Apache-2.0"
] | null | null | null |
python_modules/dagster/dagster/core/launcher/__init__.py
|
JPeer264/dagster-fork
|
32cc87a36134be7c442fa85d6867eb1d3301aea0
|
[
"Apache-2.0"
] | null | null | null |
from .base import RunLauncher
from .cli_api_run_launcher import CliApiRunLauncher
| 27.333333
| 51
| 0.878049
| 11
| 82
| 6.272727
| 0.818182
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.097561
| 82
| 2
| 52
| 41
| 0.932432
| 0
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| null | 0
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| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
1ec708f7c7d52019396b6d58f4230f1d5dfb0d4a
| 57
|
py
|
Python
|
nexinfosys/__init__.py
|
MAGIC-nexus/nis-python-client
|
f8ac51514ce3ef8249b06189c0d489aed956b5c0
|
[
"BSD-3-Clause"
] | 1
|
2020-04-28T23:30:53.000Z
|
2020-04-28T23:30:53.000Z
|
nexinfosys/__init__.py
|
MAGIC-nexus/nis-python-client
|
f8ac51514ce3ef8249b06189c0d489aed956b5c0
|
[
"BSD-3-Clause"
] | null | null | null |
nexinfosys/__init__.py
|
MAGIC-nexus/nis-python-client
|
f8ac51514ce3ef8249b06189c0d489aed956b5c0
|
[
"BSD-3-Clause"
] | null | null | null |
from .client import NISClient, display_visjs_jupyterlab
| 19
| 55
| 0.859649
| 7
| 57
| 6.714286
| 1
| 0
| 0
| 0
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| 0
| 0.105263
| 57
| 2
| 56
| 28.5
| 0.921569
| 0
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| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
94be50fa7e9c1cc2a5aae187eda3eb1b5858641b
| 137
|
py
|
Python
|
tests/conftest.py
|
hpgem/nanomesh
|
f395640bb784da531677f193766dbd9f69b61a67
|
[
"Apache-2.0"
] | 4
|
2021-07-12T20:00:16.000Z
|
2022-02-27T10:14:02.000Z
|
tests/conftest.py
|
hpgem/nanomesh
|
f395640bb784da531677f193766dbd9f69b61a67
|
[
"Apache-2.0"
] | 136
|
2020-11-24T16:58:28.000Z
|
2022-03-23T14:19:25.000Z
|
tests/conftest.py
|
hpgem/nanomesh
|
f395640bb784da531677f193766dbd9f69b61a67
|
[
"Apache-2.0"
] | 1
|
2022-01-25T10:13:13.000Z
|
2022-01-25T10:13:13.000Z
|
# https://github.com/matplotlib/matplotlib/issues/18168#issuecomment-670211108
from matplotlib.testing.conftest import mpl_test_settings
| 45.666667
| 78
| 0.861314
| 17
| 137
| 6.823529
| 0.882353
| 0
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| 0.043796
| 137
| 2
| 79
| 68.5
| 0.778626
| 0.547445
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| 1
| 0
| 1
| 0
|
0
| 5
|
a20ac73d96760f73577ad1337bb13f563b0d5cff
| 314
|
py
|
Python
|
test/conftest.py
|
koreiklein/dist_zero
|
68ef5a0603edc53925daeec1f4bb684025cacbd4
|
[
"Unlicense"
] | 1
|
2019-03-18T13:27:35.000Z
|
2019-03-18T13:27:35.000Z
|
test/conftest.py
|
koreiklein/dist_zero
|
68ef5a0603edc53925daeec1f4bb684025cacbd4
|
[
"Unlicense"
] | null | null | null |
test/conftest.py
|
koreiklein/dist_zero
|
68ef5a0603edc53925daeec1f4bb684025cacbd4
|
[
"Unlicense"
] | null | null | null |
import pytest
import dist_zero.ids
from dist_zero.spawners.simulator import SimulatedSpawner
from dist_zero.spawners.docker import DockerSpawner
from dist_zero.spawners.cloud.aws import Ec2Spawner
from dist_zero.system_controller import SystemController
from .demo import demo, cloud_demo
from .common import dz
| 28.545455
| 57
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| 45
| 314
| 5.866667
| 0.444444
| 0.151515
| 0.181818
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| 0.098726
| 314
| 10
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| 1
| 0
|
0
| 5
|
a221601389defa2b881d9bc404d9a902c1823fb3
| 129
|
py
|
Python
|
FaceSwap-master/pytorch_stylegan_encoder/image.py
|
CSID-DGU/-2020-1-OSSP1-ninetynine-2
|
b1824254882eeea0ee44e4e60896b72c51ef1d2c
|
[
"MIT"
] | 1
|
2020-06-21T13:45:26.000Z
|
2020-06-21T13:45:26.000Z
|
FaceSwap-master/pytorch_stylegan_encoder/image.py
|
CSID-DGU/-2020-1-OSSP1-ninetynine-2
|
b1824254882eeea0ee44e4e60896b72c51ef1d2c
|
[
"MIT"
] | null | null | null |
FaceSwap-master/pytorch_stylegan_encoder/image.py
|
CSID-DGU/-2020-1-OSSP1-ninetynine-2
|
b1824254882eeea0ee44e4e60896b72c51ef1d2c
|
[
"MIT"
] | 3
|
2020-09-02T03:18:45.000Z
|
2021-01-27T08:24:05.000Z
|
version https://git-lfs.github.com/spec/v1
oid sha256:0b658b7b289160eaf9545f85d87f9c8baa0c04e58f265cf125e952a2fb821816
size 1379
| 32.25
| 75
| 0.883721
| 13
| 129
| 8.769231
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| 0.046512
| 129
| 3
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| 0
| 0
| 0
| 0
|
0
| 5
|
bf5564f8800b67c13332af3f8707a95b96113e55
| 93
|
py
|
Python
|
magent/__init__.py
|
PettingZoo-Team/MAgent
|
99e0d2c3edb49fc4bc6ae0e95c97423eec0b73f7
|
[
"MIT"
] | 121
|
2020-04-28T01:00:15.000Z
|
2021-10-06T06:44:00.000Z
|
magent/__init__.py
|
PettingZoo-Team/MAgent
|
99e0d2c3edb49fc4bc6ae0e95c97423eec0b73f7
|
[
"MIT"
] | 2
|
2021-06-05T04:16:13.000Z
|
2021-10-12T13:48:34.000Z
|
magent/__init__.py
|
PettingZoo-Team/MAgent
|
99e0d2c3edb49fc4bc6ae0e95c97423eec0b73f7
|
[
"MIT"
] | 23
|
2020-05-29T04:31:10.000Z
|
2021-09-07T18:35:43.000Z
|
from . import gridworld
from . import utility
# some alias
GridWorld = gridworld.GridWorld
| 13.285714
| 31
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| 11
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| 0.545455
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|
0
| 5
|
bf70319cef859564f4bb5a2c3ddf695891288229
| 75,089
|
py
|
Python
|
edtslib/pgdata.py
|
reticenti/edts-clone
|
fb78ba4efb646bc86d1982dff8a83629f580d9df
|
[
"BSD-3-Clause"
] | null | null | null |
edtslib/pgdata.py
|
reticenti/edts-clone
|
fb78ba4efb646bc86d1982dff8a83629f580d9df
|
[
"BSD-3-Clause"
] | null | null | null |
edtslib/pgdata.py
|
reticenti/edts-clone
|
fb78ba4efb646bc86d1982dff8a83629f580d9df
|
[
"BSD-3-Clause"
] | null | null | null |
from __future__ import division
import collections
import re
from . import sector
from . import vector3
# "Imagine the galaxy is a giant slice of Battenberg
# which for reasons beyond our ken has had small chunks
# of carrot cake pushed into it all over the place..."
# - CMDR Jackie Silver
# This does not validate sector names, just ensures that it matches the 'Something AB-C d1' or 'Something AB-C d1-23' format
pg_system_regex = re.compile(r"^(?P<sector>[\w\s'.()/-]+) (?P<l1>[A-Za-z])(?P<l2>[A-Za-z])-(?P<l3>[A-Za-z]) (?P<mcode>[A-Za-z])(?:(?P<n1>\d+)-)?(?P<n2>\d+)$")
# Hopefully-complete list of valid name fragments / phonemes
cx_raw_fragments = [
"Th", "Eo", "Oo", "Eu", "Tr", "Sly", "Dry", "Ou",
"Tz", "Phl", "Ae", "Sch", "Hyp", "Syst", "Ai", "Kyl",
"Phr", "Eae", "Ph", "Fl", "Ao", "Scr", "Shr", "Fly",
"Pl", "Fr", "Au", "Pry", "Pr", "Hyph", "Py", "Chr",
"Phyl", "Tyr", "Bl", "Cry", "Gl", "Br", "Gr", "By",
"Aae", "Myc", "Gyr", "Ly", "Myl", "Lych", "Myn", "Ch",
"Myr", "Cl", "Rh", "Wh", "Pyr", "Cr", "Syn", "Str",
"Syr", "Cy", "Wr", "Hy", "My", "Sty", "Sc", "Sph",
"Spl", "A", "Sh", "B", "C", "D", "Sk", "Io",
"Dr", "E", "Sl", "F", "Sm", "G", "H", "I",
"Sp", "J", "Sq", "K", "L", "Pyth", "M", "St",
"N", "O", "Ny", "Lyr", "P", "Sw", "Thr", "Lys",
"Q", "R", "S", "T", "Ea", "U", "V", "W",
"Schr", "X", "Ee", "Y", "Z", "Ei", "Oe",
"ll", "ss", "b", "c", "d", "f", "dg", "g", "ng", "h", "j", "k", "l", "m", "n",
"mb", "p", "q", "gn", "th", "r", "s", "t", "ch", "tch", "v", "w", "wh",
"ck", "x", "y", "z", "ph", "sh", "ct", "wr", "o", "ai", "a", "oi", "ea",
"ie", "u", "e", "ee", "oo", "ue", "i", "oa", "au", "ae", "oe", "scs",
"wsy", "vsky", "sms", "dst", "rb", "nts", "rd", "rld", "lls", "rgh",
"rg", "hm", "hn", "rk", "rl", "rm", "cs", "wyg", "rn", "hs", "rbs", "rp",
"tts", "wn", "ms", "rr", "mt", "rs", "cy", "rt", "ws", "lch", "my", "ry",
"nks", "nd", "sc", "nk", "sk", "nn", "ds", "sm", "sp", "ns", "nt", "dy",
"st", "rrs", "xt", "nz", "sy", "xy", "rsch", "rphs", "sts", "sys", "sty",
"tl", "tls", "rds", "nch", "rns", "ts", "wls", "rnt", "tt", "rdy", "rst",
"pps", "tz", "sks", "ppy", "ff", "sps", "kh", "sky", "lts", "wnst", "rth",
"ths", "fs", "pp", "ft", "ks", "pr", "ps", "pt", "fy", "rts", "ky",
"rshch", "mly", "py", "bb", "nds", "wry", "zz", "nns", "ld", "lf",
"gh", "lks", "sly", "lk", "rph", "ln", "bs", "rsts", "gs", "ls", "vvy",
"lt", "rks", "qs", "rps", "gy", "wns", "lz", "nth", "phs", "io", "oea",
"aa", "ua", "eia", "ooe", "iae", "oae", "ou", "uae", "ao", "eae", "aea",
"ia", "eou", "aei", "uia", "aae", "eau" ]
# Sort fragments by length to ensure we check the longest ones first
cx_fragments = sorted(cx_raw_fragments, key=len, reverse=True)
# Order here is relevant, keep it
cx_prefixes = cx_raw_fragments[0:111]
#
# Sequences used in runs
#
# Vowel-ish infixes
c1_infixes_s1 = [
"o", "ai", "a", "oi", "ea", "ie", "u", "e",
"ee", "oo", "ue", "i", "oa", "au", "ae", "oe"
]
# Consonant-ish infixes
c1_infixes_s2 = [
"ll", "ss", "b", "c", "d", "f", "dg", "g",
"ng", "h", "j", "k", "l", "m", "n", "mb",
"p", "q", "gn", "th", "r", "s", "t", "ch",
"tch", "v", "w", "wh", "ck", "x", "y", "z",
"ph", "sh", "ct", "wr"
]
c1_infixes = [
[],
c1_infixes_s1,
c1_infixes_s2
]
# Sequence 1
cx_suffixes_s1 = [
"oe", "io", "oea", "oi", "aa", "ua", "eia", "ae",
"ooe", "oo", "a", "ue", "ai", "e", "iae", "oae",
"ou", "uae", "i", "ao", "au", "o", "eae", "u",
"aea", "ia", "ie", "eou", "aei", "ea", "uia", "oa",
"aae", "eau", "ee"
]
# Sequence 2
c1_suffixes_s2 = [
"b", "scs", "wsy", "c", "d", "vsky", "f", "sms",
"dst", "g", "rb", "h", "nts", "ch", "rd", "rld",
"k", "lls", "ck", "rgh", "l", "rg", "m", "n",
# Formerly sequence 4/5...
"hm", "p", "hn", "rk", "q", "rl", "r", "rm",
"s", "cs", "wyg", "rn", "ct", "t", "hs", "rbs",
"rp", "tts", "v", "wn", "ms", "w", "rr", "mt",
"x", "rs", "cy", "y", "rt", "z", "ws", "lch", # "y" is speculation
"my", "ry", "nks", "nd", "sc", "ng", "sh", "nk",
"sk", "nn", "ds", "sm", "sp", "ns", "nt", "dy",
"ss", "st", "rrs", "xt", "nz", "sy", "xy", "rsch",
"rphs", "sts", "sys", "sty", "th", "tl", "tls", "rds",
"nch", "rns", "ts", "wls", "rnt", "tt", "rdy", "rst",
"pps", "tz", "tch", "sks", "ppy", "ff", "sps", "kh",
"sky", "ph", "lts", "wnst", "rth", "ths", "fs", "pp",
"ft", "ks", "pr", "ps", "pt", "fy", "rts", "ky",
"rshch", "mly", "py", "bb", "nds", "wry", "zz", "nns",
"ld", "lf", "gh", "lks", "sly", "lk", "ll", "rph",
"ln", "bs", "rsts", "gs", "ls", "vvy", "lt", "rks",
"qs", "rps", "gy", "wns", "lz", "nth", "phs"
]
# Class 2 appears to use a subset of sequence 2
c2_suffixes_s2 = c1_suffixes_s2[0:len(cx_suffixes_s1)]
c1_suffixes = [
[],
cx_suffixes_s1,
c1_suffixes_s2
]
c2_suffixes = [
[],
cx_suffixes_s1,
c2_suffixes_s2
]
# These prefixes use the specified index into the c2_suffixes list
c2_prefix_suffix_override_map = {
"Eo": 2, "Oo": 2, "Eu": 2,
"Ou": 2, "Ae": 2, "Ai": 2,
"Eae": 2, "Ao": 2, "Au": 2,
"Aae": 2
}
# These prefixes use the specified index into the c1_infixes list
c1_prefix_infix_override_map = {
"Eo": 2, "Oo": 2, "Eu": 2, "Ou": 2,
"Ae": 2, "Ai": 2, "Eae": 2, "Ao": 2,
"Au": 2, "Aae": 2, "A": 2, "Io": 2,
"E": 2, "I": 2, "O": 2, "Ea": 2,
"U": 2, "Ee": 2, "Ei": 2, "Oe": 2
}
# The default run length for most prefixes
cx_prefix_length_default = 35
# Some prefixes use short run lengths; specify them here
cx_prefix_length_overrides = {
'Eu': 31, 'Sly': 4, 'Tz': 1, 'Phl': 13,
'Ae': 12, 'Hyp': 25, 'Kyl': 30, 'Phr': 10,
'Eae': 4, 'Ao': 5, 'Scr': 24, 'Shr': 11,
'Fly': 20, 'Pry': 3, 'Hyph': 14, 'Py': 12,
'Phyl': 8, 'Tyr': 25, 'Cry': 5, 'Aae': 5,
'Myc': 2, 'Gyr': 10, 'Myl': 12, 'Lych': 3,
'Myn': 10, 'Myr': 4, 'Rh': 15, 'Wr': 31,
'Sty': 4, 'Spl': 16, 'Sk': 27, 'Sq': 7,
'Pyth': 1, 'Lyr': 10, 'Sw': 24, 'Thr': 32,
'Lys': 10, 'Schr': 3, 'Z': 34,
}
# Get the total length of one run over all prefixes
cx_prefix_total_run_length = sum([cx_prefix_length_overrides.get(p, cx_prefix_length_default) for p in cx_prefixes])
# Default infix run lengths
c1_infix_s1_length_default = len(c1_suffixes_s2)
c1_infix_s2_length_default = len(cx_suffixes_s1)
# Some infixes use short runs too
c1_infix_length_overrides = {
# Sequence 1
'oi': 88, 'ue': 147, 'oa': 57,
'au': 119, 'ae': 12, 'oe': 39,
# Sequence 2
'dg': 31, 'tch': 20, 'wr': 31,
}
# Total lengths of runs over all infixes, for each sequence
c1_infix_s1_total_run_length = sum([c1_infix_length_overrides.get(p, c1_infix_s1_length_default) for p in c1_infixes_s1])
c1_infix_s2_total_run_length = sum([c1_infix_length_overrides.get(p, c1_infix_s2_length_default) for p in c1_infixes_s2])
# Hand-authored sectors
ha_regions = collections.OrderedDict([
("trianguli sector", sector.HARegion("Trianguli Sector", 50.0, [sector.HASphere(vector3.Vector3(60.85156, -47.94922, -81.32031), 50.0)])),
("crucis sector", sector.HARegion("Crucis Sector", 60.0, [sector.HASphere(vector3.Vector3(75.91016, 8.32812, 44.83984), 60.0)])),
("tascheter sector", sector.HARegion("Tascheter Sector", 50.0, [sector.HASphere(vector3.Vector3(1.46094, -22.39844, -62.74023), 50.0)])),
("hydrae sector", sector.HARegion("Hydrae Sector", 60.0, [sector.HASphere(vector3.Vector3(77.57031, 84.07031, 69.47070), 60.0)])),
("col 285 sector", sector.HARegion("Col 285 Sector", 326.0, [sector.HASphere(vector3.Vector3(-53.46875, 56.27344, -19.35547), 326.0)])),
("scorpii sector", sector.HARegion("Scorpii Sector", 60.0, [sector.HASphere(vector3.Vector3(37.69141, 0.51953, 126.83008), 60.0)])),
("shui wei sector", sector.HARegion("Shui Wei Sector", 80.0, [sector.HASphere(vector3.Vector3(67.51172, -119.44922, 24.85938), 80.0)])),
("shudun sector", sector.HARegion("Shudun Sector", 30.0, [sector.HASphere(vector3.Vector3(-3.51953, 34.16016, 12.98047), 30.0)])),
("yin sector", sector.HARegion("Yin Sector", 50.0, [sector.HASphere(vector3.Vector3(6.42969, 20.21094, -46.98047), 50.0)])),
("jastreb sector", sector.HARegion("Jastreb Sector", 50.0, [sector.HASphere(vector3.Vector3(-12.51953, 3.82031, -40.75000), 50.0)])),
("pegasi sector", sector.HARegion("Pegasi Sector", 100.0, [sector.HASphere(vector3.Vector3(-170.26953, -95.17188, -19.18945), 100.0)])),
("cephei sector", sector.HARegion("Cephei Sector", 50.0, [sector.HASphere(vector3.Vector3(-107.98047, 30.05078, -42.23047), 50.0)])),
("bei dou sector", sector.HARegion("Bei Dou Sector", 40.0, [sector.HASphere(vector3.Vector3(-33.64844, 72.48828, -20.64062), 40.0)])),
("puppis sector", sector.HARegion("Puppis Sector", 50.0, [sector.HASphere(vector3.Vector3(56.69141, 5.23828, -28.21094), 50.0)])),
("sharru sector", sector.HARegion("Sharru Sector", 50.0, [sector.HASphere(vector3.Vector3(37.87891, 60.19922, -34.04297), 50.0)])),
("alrai sector", sector.HARegion("Alrai Sector", 70.0, [sector.HASphere(vector3.Vector3(-38.60156, 23.42188, 68.25977), 70.0)])),
("lyncis sector", sector.HARegion("Lyncis Sector", 70.0, [sector.HASphere(vector3.Vector3(-68.51953, 65.10156, -141.03906), 70.0)])),
("tucanae sector", sector.HARegion("Tucanae Sector", 100.0, [sector.HASphere(vector3.Vector3(105.60938, -218.21875, 159.47070), 100.0)])),
("piscium sector", sector.HARegion("Piscium Sector", 60.0, [sector.HASphere(vector3.Vector3(-44.83984, -54.75000, -29.10938), 60.0)])),
("herculis sector", sector.HARegion("Herculis Sector", 50.0, [sector.HASphere(vector3.Vector3(-73.00000, 70.64844, 38.49023), 50.0)])),
("antliae sector", sector.HARegion("Antliae Sector", 70.0, [sector.HASphere(vector3.Vector3(175.87109, 65.89062, 29.18945), 70.0)])),
("arietis sector", sector.HARegion("Arietis Sector", 80.0, [sector.HASphere(vector3.Vector3(-72.16016, -76.82812, -135.36914), 80.0)])),
("capricorni sector", sector.HARegion("Capricorni Sector", 60.0, [sector.HASphere(vector3.Vector3(-58.37891, -119.78906, 107.34961), 60.0)])),
("ceti sector", sector.HARegion("Ceti Sector", 70.0, [sector.HASphere(vector3.Vector3(-14.10156, -116.94922, -32.50000), 70.0)])),
("core sys sector", sector.HARegion("Core Sys Sector", 50.0, [sector.HASphere(vector3.Vector3(0.00000, 0.00000, 0.00000), 50.0)])),
("blanco 1 sector", sector.HARegion("Blanco 1 Sector", 231.0, [sector.HASphere(vector3.Vector3(-42.28906, -864.69922, 157.82031), 231.0)])),
("ngc 129 sector", sector.HARegion("NGC 129 Sector", 309.0, [sector.HASphere(vector3.Vector3(-4571.64062, -231.18359, -2671.45117), 309.0)])),
("ngc 225 sector", sector.HARegion("NGC 225 Sector", 100.0, [sector.HASphere(vector3.Vector3(-1814.48828, -41.08203, -1133.81836), 100.0)])),
("ngc 188 sector", sector.HARegion("NGC 188 Sector", 331.0, [sector.HASphere(vector3.Vector3(-5187.57031, 2556.32422, -3343.16016), 331.0)])),
("ic 1590 sector", sector.HARegion("IC 1590 Sector", 558.0, [sector.HASphere(vector3.Vector3(-7985.20703, -1052.35156, -5205.49023), 558.0)])),
("ngc 457 sector", sector.HARegion("NGC 457 Sector", 461.0, [sector.HASphere(vector3.Vector3(-6340.41797, -593.83203, -4708.80859), 461.0)])),
("m103 sector", sector.HARegion("M103 Sector", 105.0, [sector.HASphere(vector3.Vector3(-5639.37109, -224.90234, -4405.96094), 105.0)])),
("ngc 654 sector", sector.HARegion("NGC 654 Sector", 97.0, [sector.HASphere(vector3.Vector3(-5168.34375, -46.49609, -4200.19922), 97.0)])),
("ngc 659 sector", sector.HARegion("NGC 659 Sector", 92.0, [sector.HASphere(vector3.Vector3(-4882.00391, -165.43750, -4010.12305), 92.0)])),
("ngc 663 sector", sector.HARegion("NGC 663 Sector", 260.0, [sector.HASphere(vector3.Vector3(-4914.64062, -100.05469, -4051.31836), 260.0)])),
("col 463 sector", sector.HARegion("Col 463 Sector", 200.0, [sector.HASphere(vector3.Vector3(-1793.73438, 381.90234, -1371.41211), 200.0)])),
("ngc 752 sector", sector.HARegion("NGC 752 Sector", 326.0, [sector.HASphere(vector3.Vector3(-929.80469, -589.36328, -1004.09766), 326.0)])),
("ngc 744 sector", sector.HARegion("NGC 744 Sector", 115.0, [sector.HASphere(vector3.Vector3(-2892.49609, -425.51562, -2641.21289), 115.0)])),
("stock 2 sector", sector.HARegion("Stock 2 Sector", 130.0, [sector.HASphere(vector3.Vector3(-718.91406, -32.82422, -679.84180), 130.0)])),
("h persei sector", sector.HARegion("h Persei Sector", 355.0, [sector.HASphere(vector3.Vector3(-4817.47266, -437.52734, -4750.67383), 355.0)])),
("chi persei sector", sector.HARegion("Chi Persei Sector", 401.0, [sector.HASphere(vector3.Vector3(-5389.26172, -480.34766, -5408.10742), 401.0)])),
("ic 1805 sector", sector.HARegion("IC 1805 Sector", 358.0, [sector.HASphere(vector3.Vector3(-4370.87891, 96.60156, -4325.34375), 358.0)])),
("ngc 957 sector", sector.HARegion("NGC 957 Sector", 190.0, [sector.HASphere(vector3.Vector3(-4085.48438, -278.87109, -4275.21484), 190.0)])),
("tr 2 sector", sector.HARegion("Tr 2 Sector", 112.0, [sector.HASphere(vector3.Vector3(-1431.65234, -144.19141, -1556.91211), 112.0)])),
("m34 sector", sector.HARegion("M34 Sector", 171.0, [sector.HASphere(vector3.Vector3(-931.64062, -438.33984, -1263.64648), 171.0)])),
("ngc 1027 sector", sector.HARegion("NGC 1027 Sector", 147.0, [sector.HASphere(vector3.Vector3(-1756.25391, 65.96484, -1805.99609), 147.0)])),
("ic 1848 sector", sector.HARegion("IC 1848 Sector", 342.0, [sector.HASphere(vector3.Vector3(-4436.20312, 102.57031, -4790.66406), 342.0)])),
("ngc 1245 sector", sector.HARegion("NGC 1245 Sector", 246.0, [sector.HASphere(vector3.Vector3(-5101.33984, -1451.18359, -7736.58789), 246.0)])),
("ngc 1342 sector", sector.HARegion("NGC 1342 Sector", 95.0, [sector.HASphere(vector3.Vector3(-884.15234, -576.25781, -1896.07422), 95.0)])),
("ic 348 sector", sector.HARegion("IC 348 Sector", 26.0, [sector.HASphere(vector3.Vector3(-402.66016, -383.08203, -1130.80273), 26.0)])),
("mel 22 sector", sector.HARegion("Mel 22 Sector", 172.0, [sector.HASphere(vector3.Vector3(-104.13672, -195.38672, -437.12695), 172.0)])),
("ngc 1444 sector", sector.HARegion("NGC 1444 Sector", 46.0, [sector.HASphere(vector3.Vector3(-2065.66016, -88.70703, -3318.62500), 46.0)])),
("ngc 1502 sector", sector.HARegion("NGC 1502 Sector", 63.0, [sector.HASphere(vector3.Vector3(-1572.28906, 359.08203, -2140.41211), 63.0)])),
("ngc 1528 sector", sector.HARegion("NGC 1528 Sector", 118.0, [sector.HASphere(vector3.Vector3(-1183.84766, 13.24609, -2235.89648), 118.0)])),
("ngc 1545 sector", sector.HARegion("NGC 1545 Sector", 122.0, [sector.HASphere(vector3.Vector3(-1038.79297, 8.09766, -2074.42578), 122.0)])),
("hyades sector", sector.HARegion("Hyades Sector", 144.0, [sector.HASphere(vector3.Vector3(0.00000, -56.67578, -138.88086), 144.0)])),
("ngc 1647 sector", sector.HARegion("NGC 1647 Sector", 205.0, [sector.HASphere(vector3.Vector3(11.76172, -508.69531, -1684.84180), 205.0)], needs_permit=True)),
("ngc 1662 sector", sector.HARegion("NGC 1662 Sector", 83.0, [sector.HASphere(vector3.Vector3(178.12891, -512.99609, -1317.47070), 83.0)])),
("ngc 1664 sector", sector.HARegion("NGC 1664 Sector", 171.0, [sector.HASphere(vector3.Vector3(-1227.67969, -27.29688, -3712.16406), 171.0)])),
("ngc 1746 sector", sector.HARegion("NGC 1746 Sector", 251.0, [sector.HASphere(vector3.Vector3(-35.15625, -380.61719, -2014.04883), 251.0)])),
("ngc 1778 sector", sector.HARegion("NGC 1778 Sector", 98.0, [sector.HASphere(vector3.Vector3(-921.61719, -167.16797, -4697.52930), 98.0)])),
("ngc 1817 sector", sector.HARegion("NGC 1817 Sector", 281.0, [sector.HASphere(vector3.Vector3(665.49609, -1457.36719, -6227.20508), 281.0)])),
("ngc 1857 sector", sector.HARegion("NGC 1857 Sector", 109.0, [sector.HASphere(vector3.Vector3(-1246.36328, 140.66016, -6071.80273), 109.0)])),
("ngc 1893 sector", sector.HARegion("NGC 1893 Sector", 343.0, [sector.HASphere(vector3.Vector3(-1192.19141, -317.42969, -10628.63672), 343.0)])),
("m38 sector", sector.HARegion("M38 Sector", 203.0, [sector.HASphere(vector3.Vector3(-466.23828, 42.51562, -3448.36328), 203.0)])),
("col 69 sector", sector.HARegion("Col 69 Sector", 300.0, [sector.HASphere(vector3.Vector3(366.92969, -299.39453, -1359.90039), 300.0)])),
("ngc 1981 sector", sector.HARegion("NGC 1981 Sector", 106.0, [sector.HASphere(vector3.Vector3(578.95703, -423.23828, -1084.28711), 106.0)])),
("trapezium sector", sector.HARegion("Trapezium Sector", 182.0, [sector.HASphere(vector3.Vector3(594.46875, -431.80859, -1072.44922), 182.0)])),
("col 70 sector", sector.HARegion("Col 70 Sector", 514.0, [sector.HASphere(vector3.Vector3(508.68359, -372.59375, -1090.87891), 514.0)], needs_permit=True)),
("m36 sector", sector.HARegion("M36 Sector", 126.0, [sector.HASphere(vector3.Vector3(-412.07422, 75.04688, -4279.55078), 126.0)])),
("m37 sector", sector.HARegion("M37 Sector", 184.0, [sector.HASphere(vector3.Vector3(-180.73047, 243.89453, -4499.77148), 184.0)])),
("ngc 2129 sector", sector.HARegion("NGC 2129 Sector", 72.0, [sector.HASphere(vector3.Vector3(567.78906, 8.62109, -4907.25391), 72.0)])),
("ngc 2169 sector", sector.HARegion("NGC 2169 Sector", 50.0, [sector.HASphere(vector3.Vector3(921.21484, -173.53516, -3299.41602), 50.0)])),
("m35 sector", sector.HARegion("M35 Sector", 194.0, [sector.HASphere(vector3.Vector3(305.50781, 102.11328, -2640.42383), 194.0)])),
("ngc 2175 sector", sector.HARegion("NGC 2175 Sector", 78.0, [sector.HASphere(vector3.Vector3(940.29688, 37.07031, -5225.95117), 78.0)])),
("col 89 sector", sector.HARegion("Col 89 Sector", 593.0, [sector.HASphere(vector3.Vector3(603.48438, 273.61719, -4187.90430), 593.0)])),
("ngc 2232 sector", sector.HARegion("NGC 2232 Sector", 154.0, [sector.HASphere(vector3.Vector3(655.20312, -154.73828, -956.90234), 154.0)])),
("col 97 sector", sector.HARegion("Col 97 Sector", 250.0, [sector.HASphere(vector3.Vector3(878.88281, -64.39062, -1850.92383), 250.0)], needs_permit=True)),
("ngc 2244 sector", sector.HARegion("NGC 2244 Sector", 412.0, [sector.HASphere(vector3.Vector3(2092.95703, -164.37500, -4216.23242), 412.0)])),
("ngc 2251 sector", sector.HARegion("NGC 2251 Sector", 126.0, [sector.HASphere(vector3.Vector3(1733.50781, 7.55859, -3967.84375), 126.0)])),
("col 107 sector", sector.HARegion("Col 107 Sector", 578.0, [sector.HASphere(vector3.Vector3(2591.42578, -89.05859, -5042.36914), 578.0)])),
("ngc 2264 sector", sector.HARegion("NGC 2264 Sector", 510.0, [sector.HASphere(vector3.Vector3(851.16406, 83.68359, -2005.22070), 510.0)], needs_permit=True)),
("m41 sector", sector.HARegion("M41 Sector", 350.0, [sector.HASphere(vector3.Vector3(1731.03125, -400.21094, -1396.76758), 350.0)], needs_permit=True)),
("ngc 2286 sector", sector.HARegion("NGC 2286 Sector", 385.0, [sector.HASphere(vector3.Vector3(5456.35547, -379.24609, -7706.28711), 385.0)], needs_permit=True)),
("ngc 2281 sector", sector.HARegion("NGC 2281 Sector", 133.0, [sector.HASphere(vector3.Vector3(-151.60938, 535.15234, -1732.92383), 133.0)])),
("ngc 2301 sector", sector.HARegion("NGC 2301 Sector", 116.0, [sector.HASphere(vector3.Vector3(1530.08984, 14.87109, -2392.53125), 116.0)])),
("col 121 sector", sector.HARegion("Col 121 Sector", 459.0, [sector.HASphere(vector3.Vector3(1246.80469, -278.00000, -860.11328), 459.0)], needs_permit=True)),
("m50 sector", sector.HARegion("M50 Sector", 124.0, [sector.HASphere(vector3.Vector3(2015.20703, -63.45703, -2261.81836), 124.0)])),
("ngc 2324 sector", sector.HARegion("NGC 2324 Sector", 78.0, [sector.HASphere(vector3.Vector3(2088.35938, 218.74219, -3167.16211), 78.0)])),
("ngc 2335 sector", sector.HARegion("NGC 2335 Sector", 135.0, [sector.HASphere(vector3.Vector3(3185.22266, -104.81641, -3344.81250), 135.0)])),
("ngc 2345 sector", sector.HARegion("NGC 2345 Sector", 257.0, [sector.HASphere(vector3.Vector3(5319.95703, -294.56641, -5048.45312), 257.0)])),
("ngc 2343 sector", sector.HARegion("NGC 2343 Sector", 51.0, [sector.HASphere(vector3.Vector3(2402.10547, -66.03906, -2461.52930), 51.0)])),
("ngc 2354 sector", sector.HARegion("NGC 2354 Sector", 500.0, [sector.HASphere(vector3.Vector3(11248.28125, -1574.77344, -6919.98828), 500.0)])),
("ngc 2353 sector", sector.HARegion("NGC 2353 Sector", 192.0, [sector.HASphere(vector3.Vector3(2567.32812, 25.48047, -2594.35547), 192.0)])),
("col 132 sector", sector.HARegion("Col 132 Sector", 426.0, [sector.HASphere(vector3.Vector3(1355.99609, -235.59766, -690.91602), 426.0)])),
("col 135 sector", sector.HARegion("Col 135 Sector", 150.0, [sector.HASphere(vector3.Vector3(942.32812, -198.29688, -365.50586), 150.0)])),
("ngc 2360 sector", sector.HARegion("NGC 2360 Sector", 233.0, [sector.HASphere(vector3.Vector3(4695.94141, -150.25781, -3968.37891), 233.0)])),
("ngc 2362 sector", sector.HARegion("NGC 2362 Sector", 66.0, [sector.HASphere(vector3.Vector3(3826.82812, -449.91797, -2381.99023), 66.0)])),
("ngc 2367 sector", sector.HARegion("NGC 2367 Sector", 77.0, [sector.HASphere(vector3.Vector3(5384.37891, -433.42969, -3686.76172), 77.0)])),
("col 140 sector", sector.HARegion("Col 140 Sector", 162.0, [sector.HASphere(vector3.Vector3(1186.89453, -181.42578, -548.42188), 162.0)])),
("ngc 2374 sector", sector.HARegion("NGC 2374 Sector", 210.0, [sector.HASphere(vector3.Vector3(3581.40625, 83.59766, -3179.72266), 210.0)])),
("ngc 2384 sector", sector.HARegion("NGC 2384 Sector", 101.0, [sector.HASphere(vector3.Vector3(5674.66016, -288.94141, -3914.68555), 101.0)])),
("ngc 2395 sector", sector.HARegion("NGC 2395 Sector", 64.0, [sector.HASphere(vector3.Vector3(674.53906, 404.00781, -1473.32031), 64.0)])),
("ngc 2414 sector", sector.HARegion("NGC 2414 Sector", 164.0, [sector.HASphere(vector3.Vector3(8802.37109, 393.31641, -7026.83984), 164.0)])),
("m47 sector", sector.HARegion("M47 Sector", 117.0, [sector.HASphere(vector3.Vector3(1241.61328, 86.52734, -1005.43945), 117.0)])),
("ngc 2423 sector", sector.HARegion("NGC 2423 Sector", 88.0, [sector.HASphere(vector3.Vector3(1925.25391, 156.97656, -1587.05859), 88.0)])),
("mel 71 sector", sector.HARegion("Mel 71 Sector", 240.0, [sector.HASphere(vector3.Vector3(7730.26562, 807.34375, -6743.53906), 240.0)])),
("ngc 2439 sector", sector.HARegion("NGC 2439 Sector", 330.0, [sector.HASphere(vector3.Vector3(11484.73047, -964.35938, -5017.55664), 330.0)])),
("m46 sector", sector.HARegion("M46 Sector", 261.0, [sector.HASphere(vector3.Vector3(3516.44531, 320.30859, -2757.24609), 261.0)])),
("m93 sector", sector.HARegion("M93 Sector", 99.0, [sector.HASphere(vector3.Vector3(2930.09375, 11.79688, -1684.87891), 99.0)])),
("ngc 2451a sector", sector.HARegion("NGC 2451A Sector", 105.0, [sector.HASphere(vector3.Vector3(757.34375, -93.33594, -240.24414), 105.0)])),
("ngc 2477 sector", sector.HARegion("NGC 2477 Sector", 175.0, [sector.HASphere(vector3.Vector3(3808.06641, -403.21484, -1120.77539), 175.0)])),
("ngc 2467 sector", sector.HARegion("NGC 2467 Sector", 193.0, [sector.HASphere(vector3.Vector3(3941.64844, 30.85547, -1999.71289), 193.0)])),
("ngc 2482 sector", sector.HARegion("NGC 2482 Sector", 153.0, [sector.HASphere(vector3.Vector3(3850.51562, 152.85938, -2081.96484), 153.0)])),
("ngc 2483 sector", sector.HARegion("NGC 2483 Sector", 142.0, [sector.HASphere(vector3.Vector3(4895.04688, 28.32812, -2303.43359), 142.0)])),
("ngc 2489 sector", sector.HARegion("NGC 2489 Sector", 263.0, [sector.HASphere(vector3.Vector3(11855.98828, -180.25000, -5105.99414), 263.0)])),
("ngc 2516 sector", sector.HARegion("NGC 2516 Sector", 117.0, [sector.HASphere(vector3.Vector3(1276.15234, -364.36719, 87.00000), 117.0)])),
("ngc 2506 sector", sector.HARegion("NGC 2506 Sector", 395.0, [sector.HASphere(vector3.Vector3(8599.23047, 1962.22266, -7063.48828), 395.0)])),
("col 173 sector", sector.HARegion("Col 173 Sector", 500.0, [sector.HASphere(vector3.Vector3(1341.08203, -193.03516, -202.82031), 500.0)])),
("ngc 2527 sector", sector.HARegion("NGC 2527 Sector", 58.0, [sector.HASphere(vector3.Vector3(1790.95312, 64.98438, -793.64062), 58.0)])),
("ngc 2533 sector", sector.HARegion("NGC 2533 Sector", 160.0, [sector.HASphere(vector3.Vector3(10181.95312, 249.56250, -4155.17969), 160.0)])),
("ngc 2539 sector", sector.HARegion("NGC 2539 Sector", 117.0, [sector.HASphere(vector3.Vector3(3519.28906, 856.72266, -2585.17578), 117.0)])),
("ngc 2547 sector", sector.HARegion("NGC 2547 Sector", 108.0, [sector.HASphere(vector3.Vector3(1457.24609, -218.75781, -137.75000), 108.0)])),
("ngc 2546 sector", sector.HARegion("NGC 2546 Sector", 611.0, [sector.HASphere(vector3.Vector3(2894.65234, -104.69922, -781.03711), 611.0)])),
("m48 sector", sector.HARegion("M48 Sector", 220.0, [sector.HASphere(vector3.Vector3(1795.49219, 666.54688, -1622.35156), 220.0)])),
("ngc 2567 sector", sector.HARegion("NGC 2567 Sector", 144.0, [sector.HASphere(vector3.Vector3(5126.51953, 286.27734, -1886.19336), 144.0)])),
("ngc 2571 sector", sector.HARegion("NGC 2571 Sector", 102.0, [sector.HASphere(vector3.Vector3(4083.74219, -275.02344, -1559.42969), 102.0)])),
("ngc 2579 sector", sector.HARegion("NGC 2579 Sector", 89.0, [sector.HASphere(vector3.Vector3(3250.51562, 17.64453, -889.24023), 89.0)])),
("pismis 4 sector", sector.HARegion("Pismis 4 Sector", 102.0, [sector.HASphere(vector3.Vector3(1912.67578, -80.82031, -245.01953), 102.0)])),
("ngc 2627 sector", sector.HARegion("NGC 2627 Sector", 193.0, [sector.HASphere(vector3.Vector3(6248.08594, 773.52734, -2078.46094), 193.0)])),
("ngc 2645 sector", sector.HARegion("NGC 2645 Sector", 48.0, [sector.HASphere(vector3.Vector3(5410.67188, -275.22656, -492.41016), 48.0)])),
("ngc 2632 sector", sector.HARegion("NGC 2632 Sector", 125.0, [sector.HASphere(vector3.Vector3(221.48438, 327.75391, -464.35156), 125.0)])),
("ic 2391 sector", sector.HARegion("IC 2391 Sector", 100.0, [sector.HASphere(vector3.Vector3(565.85938, -68.47656, 3.95117), 100.0)])),
("ic 2395 sector", sector.HARegion("IC 2395 Sector", 114.0, [sector.HASphere(vector3.Vector3(2290.90234, -152.42969, -136.10547), 114.0)])),
("ngc 2669 sector", sector.HARegion("NGC 2669 Sector", 199.0, [sector.HASphere(vector3.Vector3(3389.15234, -374.19531, 41.40820), 199.0)])),
("ngc 2670 sector", sector.HARegion("NGC 2670 Sector", 91.0, [sector.HASphere(vector3.Vector3(3858.68750, -243.00000, -168.47461), 91.0)])),
("tr 10 sector", sector.HARegion("Tr 10 Sector", 57.0, [sector.HASphere(vector3.Vector3(1369.04297, 14.44922, -172.95117), 57.0)])),
("m67 sector", sector.HARegion("M67 Sector", 216.0, [sector.HASphere(vector3.Vector3(1466.01953, 1555.39453, -2047.71289), 216.0)])),
("ic 2488 sector", sector.HARegion("IC 2488 Sector", 194.0, [sector.HASphere(vector3.Vector3(3654.96484, -283.85938, 500.66797), 194.0)])),
("ngc 2910 sector", sector.HARegion("NGC 2910 Sector", 99.0, [sector.HASphere(vector3.Vector3(8461.80469, -178.01172, 784.97852), 99.0)])),
("ngc 2925 sector", sector.HARegion("NGC 2925 Sector", 74.0, [sector.HASphere(vector3.Vector3(2505.64453, -52.77344, 263.35352), 74.0)])),
("ngc 3114 sector", sector.HARegion("NGC 3114 Sector", 312.0, [sector.HASphere(vector3.Vector3(2883.98828, -196.83203, 681.74609), 312.0)])),
("ngc 3228 sector", sector.HARegion("NGC 3228 Sector", 26.0, [sector.HASphere(vector3.Vector3(1733.04688, 141.95312, 330.59570), 26.0)])),
("ngc 3247 sector", sector.HARegion("NGC 3247 Sector", 74.0, [sector.HASphere(vector3.Vector3(4886.86328, -26.44141, 1272.93359), 74.0)])),
("ic 2581 sector", sector.HARegion("IC 2581 Sector", 117.0, [sector.HASphere(vector3.Vector3(7722.32031, 0.00000, 2011.51367), 117.0)])),
("ngc 3293 sector", sector.HARegion("NGC 3293 Sector", 133.0, [sector.HASphere(vector3.Vector3(7299.60547, 13.24609, 2079.34766), 133.0)])),
("ngc 3324 sector", sector.HARegion("NGC 3324 Sector", 264.0, [sector.HASphere(vector3.Vector3(7259.77734, -26.39062, 2109.16016), 264.0)])),
("ngc 3330 sector", sector.HARegion("NGC 3330 Sector", 43.0, [sector.HASphere(vector3.Vector3(2824.55859, 193.51953, 714.72266), 43.0)])),
("col 228 sector", sector.HARegion("Col 228 Sector", 293.0, [sector.HASphere(vector3.Vector3(6846.64453, -125.30859, 2158.73828), 293.0)])),
("ic 2602 sector", sector.HARegion("IC 2602 Sector", 155.0, [sector.HASphere(vector3.Vector3(497.46484, -45.26953, 177.13867), 155.0)])),
("tr 14 sector", sector.HARegion("Tr 14 Sector", 130.0, [sector.HASphere(vector3.Vector3(8501.81641, -93.30469, 2664.30664), 130.0)])),
("tr 16 sector", sector.HARegion("Tr 16 Sector", 254.0, [sector.HASphere(vector3.Vector3(8311.20312, -106.53125, 2636.46875), 254.0)])),
("ngc 3519 sector", sector.HARegion("NGC 3519 Sector", 82.0, [sector.HASphere(vector3.Vector3(4392.18359, -90.03516, 1642.16992), 82.0)])),
("fe 1 sector", sector.HARegion("Fe 1 Sector", 275.0, [sector.HASphere(vector3.Vector3(3551.95312, 26.39062, 1292.80469), 275.0)])),
("ngc 3532 sector", sector.HARegion("NGC 3532 Sector", 232.0, [sector.HASphere(vector3.Vector3(1497.35938, 41.62109, 533.18555), 232.0)])),
("ngc 3572 sector", sector.HARegion("NGC 3572 Sector", 95.0, [sector.HASphere(vector3.Vector3(6089.70312, 22.72266, 2301.10742), 95.0)])),
("col 240 sector", sector.HARegion("Col 240 Sector", 374.0, [sector.HASphere(vector3.Vector3(4804.97656, 17.94141, 1825.23828), 374.0)])),
("ngc 3590 sector", sector.HARegion("NGC 3590 Sector", 47.0, [sector.HASphere(vector3.Vector3(5015.87109, -18.78125, 1945.52734), 47.0)])),
("ngc 3680 sector", sector.HARegion("NGC 3680 Sector", 107.0, [sector.HASphere(vector3.Vector3(2802.88672, 889.54688, 846.24219), 107.0)])),
("ngc 3766 sector", sector.HARegion("NGC 3766 Sector", 83.0, [sector.HASphere(vector3.Vector3(5194.02734, 0.00000, 2323.40039), 83.0)])),
("ic 2944 sector", sector.HARegion("IC 2944 Sector", 613.0, [sector.HASphere(vector3.Vector3(5317.44531, -142.92969, 2434.51562), 613.0)])),
("stock 14 sector", sector.HARegion("Stock 14 Sector", 102.0, [sector.HASphere(vector3.Vector3(6333.31641, -85.51953, 2980.23242), 102.0)])),
("ngc 4103 sector", sector.HARegion("NGC 4103 Sector", 93.0, [sector.HASphere(vector3.Vector3(4713.57031, 111.41406, 2464.19336), 93.0)])),
("ngc 4349 sector", sector.HARegion("NGC 4349 Sector", 207.0, [sector.HASphere(vector3.Vector3(6160.53516, 99.13281, 3528.17188), 207.0)])),
("mel 111 sector", sector.HARegion("Mel 111 Sector", 109.0, [sector.HASphere(vector3.Vector3(21.80859, 308.30078, -23.96680), 109.0)])),
("ngc 4463 sector", sector.HARegion("NGC 4463 Sector", 512.0, [sector.HASphere(vector3.Vector3(2938.90234, -119.35547, 1744.99219), 512.0)])),
("ngc 5281 sector", sector.HARegion("NGC 5281 Sector", 512.0, [sector.HASphere(vector3.Vector3(2797.33984, -44.10156, 2281.45508), 512.0)])),
("ngc 4609 sector", sector.HARegion("NGC 4609 Sector", 512.0, [sector.HASphere(vector3.Vector3(3387.39062, -6.96484, 2108.46484), 512.0)])),
("jewel box sector", sector.HARegion("Jewel Box Sector", 188.0, [sector.HASphere(vector3.Vector3(5383.63281, 280.91016, 3522.95117), 188.0)])),
("ngc 5138 sector", sector.HARegion("NGC 5138 Sector", 132.0, [sector.HASphere(vector3.Vector3(5131.33984, 395.59375, 3937.41602), 132.0)])),
("ngc 5316 sector", sector.HARegion("NGC 5316 Sector", 250.0, [sector.HASphere(vector3.Vector3(3024.62891, 6.91016, 2556.00781), 250.0)])),
("ngc 5460 sector", sector.HARegion("NGC 5460 Sector", 232.0, [sector.HASphere(vector3.Vector3(1503.62891, 482.09766, 1546.21484), 232.0)])),
("ngc 5606 sector", sector.HARegion("NGC 5606 Sector", 52.0, [sector.HASphere(vector3.Vector3(4178.73438, 102.79297, 4149.66406), 52.0)])),
("ngc 5617 sector", sector.HARegion("NGC 5617 Sector", 146.0, [sector.HASphere(vector3.Vector3(3553.99219, -8.72656, 3516.96875), 146.0)])),
("ngc 5662 sector", sector.HARegion("NGC 5662 Sector", 190.0, [sector.HASphere(vector3.Vector3(1479.93750, 132.47656, 1581.49609), 190.0)])),
("ngc 5822 sector", sector.HARegion("NGC 5822 Sector", 314.0, [sector.HASphere(vector3.Vector3(1849.48438, 187.74219, 2341.85156), 314.0)])),
("ngc 5823 sector", sector.HARegion("NGC 5823 Sector", 136.0, [sector.HASphere(vector3.Vector3(2435.16797, 169.67969, 3028.73828), 136.0)])),
("ngc 6025 sector", sector.HARegion("NGC 6025 Sector", 101.0, [sector.HASphere(vector3.Vector3(1426.48047, -258.18359, 1999.84961), 101.0)])),
("ngc 6067 sector", sector.HARegion("NGC 6067 Sector", 189.0, [sector.HASphere(vector3.Vector3(2322.23828, -177.35156, 3990.00586), 189.0)])),
("ngc 6087 sector", sector.HARegion("NGC 6087 Sector", 119.0, [sector.HASphere(vector3.Vector3(1543.78906, -273.85547, 2451.49414), 119.0)])),
("ngc 6124 sector", sector.HARegion("NGC 6124 Sector", 195.0, [sector.HASphere(vector3.Vector3(546.19922, 174.56250, 1568.46875), 195.0)])),
("ngc 6134 sector", sector.HARegion("NGC 6134 Sector", 53.0, [sector.HASphere(vector3.Vector3(1264.10547, -10.40234, 2698.57812), 53.0)])),
("ngc 6152 sector", sector.HARegion("NGC 6152 Sector", 245.0, [sector.HASphere(vector3.Vector3(1528.39062, -181.70312, 2986.73828), 245.0)])),
("ngc 6169 sector", sector.HARegion("NGC 6169 Sector", 105.0, [sector.HASphere(vector3.Vector3(1261.91016, 156.59375, 3357.25586), 105.0)])),
("ngc 6167 sector", sector.HARegion("NGC 6167 Sector", 74.0, [sector.HASphere(vector3.Vector3(1508.11328, -81.90234, 3278.87109), 74.0)])),
("ngc 6178 sector", sector.HARegion("NGC 6178 Sector", 49.0, [sector.HASphere(vector3.Vector3(1218.22656, 69.32031, 3076.88477), 49.0)])),
("ngc 6193 sector", sector.HARegion("NGC 6193 Sector", 154.0, [sector.HASphere(vector3.Vector3(1490.62500, -105.26562, 3461.19336), 154.0)])),
("ngc 6200 sector", sector.HARegion("NGC 6200 Sector", 234.0, [sector.HASphere(vector3.Vector3(2509.40234, -128.62109, 6210.98633), 234.0)])),
("ngc 6208 sector", sector.HARegion("NGC 6208 Sector", 161.0, [sector.HASphere(vector3.Vector3(1056.18750, -309.23047, 2855.24805), 161.0)])),
("ngc 6231 sector", sector.HARegion("NGC 6231 Sector", 165.0, [sector.HASphere(vector3.Vector3(1150.01172, 84.81641, 3882.36914), 165.0)])),
("ngc 6242 sector", sector.HARegion("NGC 6242 Sector", 97.0, [sector.HASphere(vector3.Vector3(923.09375, 154.51953, 3569.33203), 97.0)])),
("tr 24 sector", sector.HARegion("Tr 24 Sector", 500.0, [sector.HASphere(vector3.Vector3(978.63281, 97.11719, 3577.28125), 500.0)])),
("ngc 6250 sector", sector.HARegion("NGC 6250 Sector", 83.0, [sector.HASphere(vector3.Vector3(926.94531, -88.57812, 2661.82812), 83.0)])),
("ngc 6259 sector", sector.HARegion("NGC 6259 Sector", 118.0, [sector.HASphere(vector3.Vector3(1037.94141, -87.95312, 3194.45508), 118.0)])),
("ngc 6281 sector", sector.HARegion("NGC 6281 Sector", 37.0, [sector.HASphere(vector3.Vector3(329.46484, 54.44141, 1523.83984), 37.0)])),
("ngc 6322 sector", sector.HARegion("NGC 6322 Sector", 48.0, [sector.HASphere(vector3.Vector3(823.50781, -175.75781, 3139.01953), 48.0)])),
("ic 4651 sector", sector.HARegion("IC 4651 Sector", 85.0, [sector.HASphere(vector3.Vector3(977.73438, -398.58984, 2700.95703), 85.0)])),
("ngc 6383 sector", sector.HARegion("NGC 6383 Sector", 187.0, [sector.HASphere(vector3.Vector3(235.09375, 5.60156, 3201.37500), 187.0)])),
("m6 sector", sector.HARegion("M6 Sector", 93.0, [sector.HASphere(vector3.Vector3(94.28906, -19.42578, 1587.08203), 93.0)])),
("ngc 6416 sector", sector.HARegion("NGC 6416 Sector", 99.0, [sector.HASphere(vector3.Vector3(126.60547, -67.57031, 2415.74219), 99.0)])),
("ic 4665 sector", sector.HARegion("IC 4665 Sector", 235.0, [sector.HASphere(vector3.Vector3(-559.51953, 338.14453, 946.09570), 235.0)])),
("ngc 6425 sector", sector.HARegion("NGC 6425 Sector", 77.0, [sector.HASphere(vector3.Vector3(96.70312, -73.71484, 2637.19922), 77.0)])),
("m7 sector", sector.HARegion("M7 Sector", 229.0, [sector.HASphere(vector3.Vector3(69.85156, -76.89062, 974.47852), 229.0)])),
("m23 sector", sector.HARegion("M23 Sector", 179.0, [sector.HASphere(vector3.Vector3(-348.48438, 103.71484, 2017.50000), 179.0)])),
("m20 sector", sector.HARegion("M20 Sector", 217.0, [sector.HASphere(vector3.Vector3(-324.17188, -9.28516, 2640.15625), 217.0)])),
("ngc 6520 sector", sector.HARegion("NGC 6520 Sector", 90.0, [sector.HASphere(vector3.Vector3(-259.73828, -251.08594, 5127.28906), 90.0)])),
("m21 sector", sector.HARegion("M21 Sector", 161.0, [sector.HASphere(vector3.Vector3(-526.55469, -27.43750, 3894.46875), 161.0)])),
("ngc 6530 sector", sector.HARegion("NGC 6530 Sector", 177.0, [sector.HASphere(vector3.Vector3(-461.04688, -106.03516, 4314.13867), 177.0)])),
("ngc 6546 sector", sector.HARegion("NGC 6546 Sector", 125.0, [sector.HASphere(vector3.Vector3(-388.70312, -74.76172, 3034.29102), 125.0)])),
("ngc 6604 sector", sector.HARegion("NGC 6604 Sector", 81.0, [sector.HASphere(vector3.Vector3(-1735.61328, 164.05469, 5248.01172), 81.0)])),
("m16 sector", sector.HARegion("M16 Sector", 100.0, [sector.HASphere(vector3.Vector3(-1666.35547, 79.58594, 5450.40625), 100.0)])),
("m18 sector", sector.HARegion("M18 Sector", 62.0, [sector.HASphere(vector3.Vector3(-1037.49219, -73.82422, 4100.12891), 62.0)])),
("m17 sector", sector.HARegion("M17 Sector", 309.0, [sector.HASphere(vector3.Vector3(-1104.42969, -59.19922, 4093.20508), 309.0)])),
("ngc 6633 sector", sector.HARegion("NGC 6633 Sector", 72.0, [sector.HASphere(vector3.Vector3(-717.30078, 175.43359, 983.66602), 72.0)])),
("m25 sector", sector.HARegion("M25 Sector", 177.0, [sector.HASphere(vector3.Vector3(-473.52344, -158.48828, 1957.30859), 177.0)])),
("ngc 6664 sector", sector.HARegion("NGC 6664 Sector", 166.0, [sector.HASphere(vector3.Vector3(-1545.53906, -33.16016, 3471.33984), 166.0)])),
("ic 4756 sector", sector.HARegion("IC 4756 Sector", 184.0, [sector.HASphere(vector3.Vector3(-933.74219, 143.19922, 1266.49805), 184.0)])),
("m26 sector", sector.HARegion("M26 Sector", 107.0, [sector.HASphere(vector3.Vector3(-2112.12891, -264.09375, 4766.29297), 107.0)])),
("ngc 6705 sector", sector.HARegion("NGC 6705 Sector", 232.0, [sector.HASphere(vector3.Vector3(-2803.58594, -298.96094, 5431.84570), 232.0)])),
("ngc 6709 sector", sector.HARegion("NGC 6709 Sector", 143.0, [sector.HASphere(vector3.Vector3(-2349.81250, 287.60547, 2591.48047), 143.0)])),
("col 394 sector", sector.HARegion("Col 394 Sector", 144.0, [sector.HASphere(vector3.Vector3(-566.87109, -371.35547, 2145.51953), 144.0)])),
("steph 1 sector", sector.HARegion("Steph 1 Sector", 74.0, [sector.HASphere(vector3.Vector3(-1125.68750, 339.39453, 480.14648), 74.0)])),
("ngc 6716 sector", sector.HARegion("NGC 6716 Sector", 100.0, [sector.HASphere(vector3.Vector3(-672.92188, -428.59375, 2443.02734), 100.0)])),
("ngc 6755 sector", sector.HARegion("NGC 6755 Sector", 189.0, [sector.HASphere(vector3.Vector3(-2887.29297, -137.35547, 3616.84766), 189.0)])),
("stock 1 sector", sector.HARegion("Stock 1 Sector", 243.0, [sector.HASphere(vector3.Vector3(-902.64844, 41.73828, 514.86133), 243.0)])),
("ngc 6811 sector", sector.HARegion("NGC 6811 Sector", 162.0, [sector.HASphere(vector3.Vector3(-3810.01172, 816.57031, 706.14453), 162.0)])),
("ngc 6819 sector", sector.HARegion("NGC 6819 Sector", 112.0, [sector.HASphere(vector3.Vector3(-7320.41406, 1138.13281, 2099.09570), 112.0)])),
("ngc 6823 sector", sector.HARegion("NGC 6823 Sector", 108.0, [sector.HASphere(vector3.Vector3(-5310.76953, -10.76953, 3140.78125), 108.0)])),
("ngc 6830 sector", sector.HARegion("NGC 6830 Sector", 187.0, [sector.HASphere(vector3.Vector3(-4635.60938, -168.04688, 2665.59375), 187.0)])),
("ngc 6834 sector", sector.HARegion("NGC 6834 Sector", 99.0, [sector.HASphere(vector3.Vector3(-6141.51172, 141.15234, 2772.99805), 99.0)])),
("ngc 6866 sector", sector.HARegion("NGC 6866 Sector", 138.0, [sector.HASphere(vector3.Vector3(-4616.57812, 560.05078, 863.96875), 138.0)])),
("ngc 6871 sector", sector.HARegion("NGC 6871 Sector", 448.0, [sector.HASphere(vector3.Vector3(-4891.96484, 187.98047, 1533.04883), 448.0)])),
("ngc 6885 sector", sector.HARegion("NGC 6885 Sector", 57.0, [sector.HASphere(vector3.Vector3(-1769.88281, -139.42188, 806.58203), 57.0)])),
("ic 4996 sector", sector.HARegion("IC 4996 Sector", 83.0, [sector.HASphere(vector3.Vector3(-5466.14844, 128.18359, 1423.82617), 83.0)])),
("mel 227 sector", sector.HARegion("Mel 227 Sector", 57.0, [sector.HASphere(vector3.Vector3(238.19531, -198.52734, 236.53906), 57.0)])),
("ngc 6910 sector", sector.HARegion("NGC 6910 Sector", 108.0, [sector.HASphere(vector3.Vector3(-3635.86328, 129.47656, 726.51758), 108.0)])),
("m29 sector", sector.HARegion("M29 Sector", 109.0, [sector.HASphere(vector3.Vector3(-3642.46875, 39.16406, 847.62891), 109.0)])),
("ngc 6939 sector", sector.HARegion("NGC 6939 Sector", 113.0, [sector.HASphere(vector3.Vector3(-3751.41797, 822.29688, -387.67188), 113.0)])),
("ngc 6940 sector", sector.HARegion("NGC 6940 Sector", 183.0, [sector.HASphere(vector3.Vector3(-2338.53906, -314.58594, 855.78320), 183.0)])),
("ngc 7039 sector", sector.HARegion("NGC 7039 Sector", 127.0, [sector.HASphere(vector3.Vector3(-3096.74609, -91.96484, 108.14062), 127.0)])),
("ngc 7063 sector", sector.HARegion("NGC 7063 Sector", 59.0, [sector.HASphere(vector3.Vector3(-2200.44141, -386.83984, 266.28320), 59.0)])),
("ngc 7082 sector", sector.HARegion("NGC 7082 Sector", 342.0, [sector.HASphere(vector3.Vector3(-4692.53125, -245.98047, -98.29492), 342.0)])),
("m39 sector", sector.HARegion("M39 Sector", 93.0, [sector.HASphere(vector3.Vector3(-1058.13672, -42.53906, -46.19922), 93.0)])),
("ic 1396 sector", sector.HARegion("IC 1396 Sector", 500.0, [sector.HASphere(vector3.Vector3(-2678.65234, 175.52734, -438.64648), 500.0)])),
("ic 5146 sector", sector.HARegion("IC 5146 Sector", 73.0, [sector.HASphere(vector3.Vector3(-2759.04688, -266.45312, -212.29688), 73.0)])),
("ngc 7160 sector", sector.HARegion("NGC 7160 Sector", 38.0, [sector.HASphere(vector3.Vector3(-2478.12109, 286.47656, -617.86523), 38.0)])),
("ngc 7209 sector", sector.HARegion("NGC 7209 Sector", 200.0, [sector.HASphere(vector3.Vector3(-3761.71875, -484.11719, -362.21289), 200.0)])),
("ngc 7235 sector", sector.HARegion("NGC 7235 Sector", 134.0, [sector.HASphere(vector3.Vector3(-8983.79688, 128.58984, -2024.58594), 134.0)])),
("ngc 7243 sector", sector.HARegion("NGC 7243 Sector", 223.0, [sector.HASphere(vector3.Vector3(-2595.76562, -257.61719, -406.48633), 223.0)])),
("ngc 7380 sector", sector.HARegion("NGC 7380 Sector", 422.0, [sector.HASphere(vector3.Vector3(-6928.64453, -113.87891, -2131.52930), 422.0)])),
("ngc 7510 sector", sector.HARegion("NGC 7510 Sector", 99.0, [sector.HASphere(vector3.Vector3(-6320.33984, 0.00000, -2426.15039), 99.0)])),
("m52 sector", sector.HARegion("M52 Sector", 203.0, [sector.HASphere(vector3.Vector3(-4268.12109, 32.32422, -1794.15430), 203.0)])),
("ngc 7686 sector", sector.HARegion("NGC 7686 Sector", 133.0, [sector.HASphere(vector3.Vector3(-3010.24609, -655.51562, -1065.98438), 133.0)])),
("ngc 7789 sector", sector.HARegion("NGC 7789 Sector", 555.0, [sector.HASphere(vector3.Vector3(-6847.17578, -717.10547, -3265.93555), 555.0)])),
("ngc 7790 sector", sector.HARegion("NGC 7790 Sector", 336.0, [sector.HASphere(vector3.Vector3(-8582.57422, -167.54297, -4297.83203), 336.0)])),
("ic 410 sector", sector.HARegion("IC 410 Sector", 150.0, [sector.HASphere(vector3.Vector3(-1225.55469, -345.51953, -10926.05273), 150.0)])),
("ngc 3603 sector", sector.HARegion("NGC 3603 Sector", 150.0, [sector.HASphere(vector3.Vector3(18594.82031, -174.53125, 7362.21094), 150.0)], needs_permit=True)),
("ngc 7822 sector", sector.HARegion("NGC 7822 Sector", 100.0, [sector.HASphere(vector3.Vector3(-2443.97266, 302.39844, -1332.49805), 100.0)])),
("ngc 281 sector", sector.HARegion("NGC 281 Sector", 100.0, [sector.HASphere(vector3.Vector3(-6661.27734, -877.87500, -4342.43164), 100.0)])),
("lbn 623 sector", sector.HARegion("LBN 623 Sector", 100.0, [sector.HASphere(vector3.Vector3(-499.50781, -18.84766, -331.87109), 100.0)])),
("heart sector", sector.HARegion("Heart Sector", 100.0, [sector.HASphere(vector3.Vector3(-5321.12500, 117.80469, -5284.10547), 100.0)])),
("soul sector", sector.HARegion("Soul Sector", 100.0, [sector.HASphere(vector3.Vector3(-5095.17969, 117.80469, -5502.29492), 100.0)])),
("pleiades sector", sector.HARegion("Pleiades Sector", 100.0, [sector.HASphere(vector3.Vector3(-81.75391, -149.41406, -343.34766), 100.0)])),
("perseus dark region", sector.HARegion("Perseus Dark Region", 100.0, [sector.HASphere(vector3.Vector3(-359.89844, -316.98438, -1045.22461), 100.0)])),
("ngc 1333 sector", sector.HARegion("NGC 1333 Sector", 100.0, [sector.HASphere(vector3.Vector3(-381.21094, -383.42969, -957.94531), 100.0)])),
("california sector", sector.HARegion("California Sector", 100.0, [sector.HASphere(vector3.Vector3(-332.56641, -213.03125, -918.70508), 100.0)])),
("ngc 1491 sector", sector.HARegion("NGC 1491 Sector", 100.0, [sector.HASphere(vector3.Vector3(-4908.28906, -174.52344, -8710.81152), 100.0)])),
("hind sector", sector.HARegion("Hind Sector", 100.0, [sector.HASphere(vector3.Vector3(-32.95312, -206.39062, -557.28516), 100.0)])),
("trifid of the north sector", sector.HARegion("Trifid of the North Sector", 100.0, [sector.HASphere(vector3.Vector3(-643.14844, -402.24609, -2486.87695), 100.0)])),
("flaming star sector", sector.HARegion("Flaming Star Sector", 100.0, [sector.HASphere(vector3.Vector3(-233.46875, -68.22266, -1682.50977), 100.0)])),
("ngc 1931 sector", sector.HARegion("NGC 1931 Sector", 100.0, [sector.HASphere(vector3.Vector3(-743.83984, 36.65234, -6960.26953), 100.0)])),
("crab sector", sector.HARegion("Crab Sector", 100.0, [sector.HASphere(vector3.Vector3(558.51953, -707.39453, -6941.73242), 100.0)])),
("running man sector", sector.HARegion("Running Man Sector", 100.0, [sector.HASphere(vector3.Vector3(586.15625, -425.38281, -1079.56836), 100.0)])),
("orion sector", sector.HARegion("Orion Sector", 100.0, [sector.HASphere(vector3.Vector3(616.52344, -446.42578, -1107.67383), 100.0)])),
("col 359 sector", sector.HARegion("Col 359 Sector", 566.0, [sector.HASphere(vector3.Vector3(-393.00781, 175.31641, 686.22852), 566.0)])),
("spirograph sector", sector.HARegion("Spirograph Sector", 100.0, [sector.HASphere(vector3.Vector3(577.89844, -452.66406, -819.22266), 100.0)])),
("ngc 1999 sector", sector.HARegion("NGC 1999 Sector", 100.0, [sector.HASphere(vector3.Vector3(549.36719, -374.51172, -926.56445), 100.0)])),
("flame sector", sector.HARegion("Flame Sector", 100.0, [sector.HASphere(vector3.Vector3(428.26172, -280.66797, -858.96289), 100.0)])),
("horsehead sector", sector.HARegion("Horsehead Sector", 100.0, [sector.HASphere(vector3.Vector3(411.68359, -272.99219, -811.47461), 100.0)])),
("witch head sector", sector.HARegion("Witch Head Sector", 100.0, [sector.HASphere(vector3.Vector3(369.41406, -401.57812, -715.72852), 100.0)])),
("monkey head sector", sector.HARegion("Monkey Head Sector", 100.0, [sector.HASphere(vector3.Vector3(1133.31641, 44.67969, -6298.69922), 100.0)])),
("jellyfish sector", sector.HARegion("Jellyfish Sector", 100.0, [sector.HASphere(vector3.Vector3(789.77734, 252.96484, -4930.74609), 100.0)])),
("rosette sector", sector.HARegion("Rosette Sector", 100.0, [sector.HASphere(vector3.Vector3(2346.98438, -175.72266, -4748.76562), 100.0)])),
("hubble's variable sector", sector.HARegion("Hubble's Variable Sector", 100.0, [sector.HASphere(vector3.Vector3(1210.32422, 68.06250, -2744.17188), 100.0)])),
("cone sector", sector.HARegion("Cone Sector", 100.0, [sector.HASphere(vector3.Vector3(855.44141, 84.45312, -2025.11328), 100.0)])),
("seagull sector", sector.HARegion("Seagull Sector", 100.0, [sector.HASphere(vector3.Vector3(2656.38672, -159.12891, -2712.61523), 100.0)])),
("thor's helmet sector", sector.HARegion("Thor's Helmet Sector", 100.0, [sector.HASphere(vector3.Vector3(2704.18750, -19.17578, -2469.26172), 100.0)])),
("skull and crossbones neb. sector", sector.HARegion("Skull and Crossbones Neb. Sector", 100.0, [sector.HASphere(vector3.Vector3(13388.46094, 104.71875, -6762.99805), 100.0)])),
("pencil sector", sector.HARegion("Pencil Sector", 100.0, [sector.HASphere(vector3.Vector3(813.80078, 2.84375, -44.07422), 100.0)])),
("ngc 3199 sector", sector.HARegion("NGC 3199 Sector", 100.0, [sector.HASphere(vector3.Vector3(14577.19531, -261.78516, 3526.59375), 100.0)])),
("eta carina sector", sector.HARegion("Eta Carina Sector", 100.0, [sector.HASphere(vector3.Vector3(8582.39453, -141.36719, 2706.01758), 100.0)])),
("statue of liberty sector", sector.HARegion("Statue of Liberty Sector", 100.0, [sector.HASphere(vector3.Vector3(5589.73047, -73.30078, 2179.34375), 100.0)])),
("ngc 5367 sector", sector.HARegion("NGC 5367 Sector", 100.0, [sector.HASphere(vector3.Vector3(1348.62500, 755.99219, 1421.15430), 100.0)])),
("ngc 6188 sector", sector.HARegion("NGC 6188 Sector", 100.0, [sector.HASphere(vector3.Vector3(1704.75391, -84.46875, 4055.45117), 100.0)])),
("cat's paw sector", sector.HARegion("Cat's Paw Sector", 100.0, [sector.HASphere(vector3.Vector3(850.85938, 57.59375, 5433.48047), 100.0)])),
("ngc 6357 sector", sector.HARegion("NGC 6357 Sector", 100.0, [sector.HASphere(vector3.Vector3(964.84375, 142.23828, 8091.43555), 100.0)])),
("trifid sector", sector.HARegion("Trifid Sector", 100.0, [sector.HASphere(vector3.Vector3(-633.71094, -27.22656, 5161.16992), 100.0)])),
("lagoon sector", sector.HARegion("Lagoon Sector", 100.0, [sector.HASphere(vector3.Vector3(-470.27344, -94.24219, 4474.36719), 100.0)])),
("eagle sector", sector.HARegion("Eagle Sector", 100.0, [sector.HASphere(vector3.Vector3(-2046.40234, 97.73438, 6693.48047), 100.0)])),
("omega sector", sector.HARegion("Omega Sector", 100.0, [sector.HASphere(vector3.Vector3(-1432.63672, -76.79297, 5309.58203), 100.0)])),
("b133 sector", sector.HARegion("B133 Sector", 100.0, [sector.HASphere(vector3.Vector3(-474.18359, -111.46875, 873.33984), 100.0)])),
("ic 1287 sector", sector.HARegion("IC 1287 Sector", 100.0, [sector.HASphere(vector3.Vector3(-358.35547, -8.72656, 933.54492), 100.0)])),
("r cra sector", sector.HARegion("R CrA Sector", 100.0, [sector.HASphere(vector3.Vector3(0.00000, -128.39062, 399.89453), 100.0)])),
("ngc 6820 sector", sector.HARegion("NGC 6820 Sector", 100.0, [sector.HASphere(vector3.Vector3(-5577.41406, -11.34375, 3338.01367), 100.0)])),
("crescent sector", sector.HARegion("Crescent Sector", 100.0, [sector.HASphere(vector3.Vector3(-4836.49219, 209.37891, 1250.80273), 100.0)])),
("sadr region sector", sector.HARegion("Sadr Region Sector", 100.0, [sector.HASphere(vector3.Vector3(-1794.68359, 53.71094, 365.84961), 100.0)])),
("veil west sector", sector.HARegion("Veil West Sector", 100.0, [sector.HASphere(vector3.Vector3(-1395.62891, -194.41797, 418.70898), 100.0)])),
("north america sector", sector.HARegion("North America Sector", 100.0, [sector.HASphere(vector3.Vector3(-1893.85547, -33.16016, 149.04883), 100.0)])),
("b352 sector", sector.HARegion("B352 Sector", 100.0, [sector.HASphere(vector3.Vector3(-1896.42969, 9.94922, 115.99023), 100.0)])),
("pelican sector", sector.HARegion("Pelican Sector", 100.0, [sector.HASphere(vector3.Vector3(-1891.56641, 3.31641, 178.80469), 100.0)])),
("veil east sector", sector.HARegion("Veil East Sector", 100.0, [sector.HASphere(vector3.Vector3(-1914.36328, -305.97266, 491.52539), 100.0)])),
("iris sector", sector.HARegion("Iris Sector", 100.0, [sector.HASphere(vector3.Vector3(-1410.35547, 367.96094, -354.25781), 100.0)])),
("elephant's trunk sector", sector.HARegion("Elephant's Trunk Sector", 100.0, [sector.HASphere(vector3.Vector3(-2658.95703, 174.23828, -435.41992), 100.0)])),
("cocoon sector", sector.HARegion("Cocoon Sector", 100.0, [sector.HASphere(vector3.Vector3(-3175.87891, -306.70703, -244.37109), 100.0)])),
("cave sector", sector.HARegion("Cave Sector", 100.0, [sector.HASphere(vector3.Vector3(-2250.06641, 108.87109, -827.86328), 100.0)])),
("ngc 7538 sector", sector.HARegion("NGC 7538 Sector", 100.0, [sector.HASphere(vector3.Vector3(-8372.94141, 125.66016, -3298.18945), 100.0)])),
("bubble sector", sector.HARegion("Bubble Sector", 100.0, [sector.HASphere(vector3.Vector3(-6573.64062, 24.78516, -2682.65234), 100.0)])),
("aries dark region", sector.HARegion("Aries Dark Region", 100.0, [sector.HASphere(vector3.Vector3(-93.57031, -184.53516, -257.08398), 100.0)])),
("taurus dark region", sector.HARegion("Taurus Dark Region", 100.0, [sector.HASphere(vector3.Vector3(-62.37891, -103.47656, -443.84766), 100.0)])),
("orion dark region", sector.HARegion("Orion Dark Region", 100.0, [sector.HASphere(vector3.Vector3(596.77344, -311.86719, -1340.37305), 100.0)])),
("messier 78 sector", sector.HARegion("Messier 78 Sector", 100.0, [sector.HASphere(vector3.Vector3(665.03125, -395.19922, -1400.55469), 100.0)])),
("barnard's loop sector", sector.HARegion("Barnard's Loop Sector", 100.0, [sector.HASphere(vector3.Vector3(726.50391, -365.36328, -1377.93555), 100.0)])),
("puppis dark region", sector.HARegion("Puppis Dark Region", 100.0, [sector.HASphere(vector3.Vector3(1440.26562, -286.21484, -306.13672), 100.0)])),
("puppis dark region b sector", sector.HARegion("Puppis Dark Region B Sector", 100.0, [sector.HASphere(vector3.Vector3(1352.29688, 0.00000, -362.34570), 100.0)])),
("vela dark region", sector.HARegion("Vela Dark Region", 100.0, [sector.HASphere(vector3.Vector3(991.18750, -121.87109, -51.94531), 100.0)])),
("musca dark region", sector.HARegion("Musca Dark Region", 100.0, [sector.HASphere(vector3.Vector3(415.92578, -68.19531, 249.91211), 100.0)])),
("coalsack sector", sector.HARegion("Coalsack Sector", 100.0, [sector.HASphere(vector3.Vector3(418.85938, -0.87109, 273.05078), 100.0)])),
("chamaeleon sector", sector.HARegion("Chamaeleon Sector", 100.0, [sector.HASphere(vector3.Vector3(483.30078, -152.70312, 301.99805), 100.0)])),
("coalsack dark region", sector.HARegion("Coalsack Dark Region", 100.0, [sector.HASphere(vector3.Vector3(450.26562, -9.07422, 259.96094), 100.0)])),
("lupus dark region b sector", sector.HARegion("Lupus Dark Region B Sector", 100.0, [sector.HASphere(vector3.Vector3(173.39062, 81.61328, 429.15625), 100.0)])),
("lupus dark region", sector.HARegion("Lupus Dark Region", 100.0, [sector.HASphere(vector3.Vector3(158.46484, 126.79297, 412.81055), 100.0)])),
("scorpius dark region", sector.HARegion("Scorpius Dark Region", 100.0, [sector.HASphere(vector3.Vector3(110.22656, 0.00000, 477.44141), 100.0)])),
("ic 4604 sector", sector.HARegion("IC 4604 Sector", 100.0, [sector.HASphere(vector3.Vector3(62.72266, 182.41797, 568.14453), 100.0)])),
("pipe (stem) sector", sector.HARegion("Pipe (stem) Sector", 100.0, [sector.HASphere(vector3.Vector3(12.15234, 51.39453, 497.20312), 100.0)])),
("ophiuchus dark region b sector", sector.HARegion("Ophiuchus Dark Region B Sector", 100.0, [sector.HASphere(vector3.Vector3(-42.85156, 169.29688, 489.79883), 100.0)])),
("scutum dark region", sector.HARegion("Scutum Dark Region", 100.0, [sector.HASphere(vector3.Vector3(-274.66016, 11.34375, 589.00977), 100.0)])),
("b92 sector", sector.HARegion("B92 Sector", 100.0, [sector.HASphere(vector3.Vector3(-142.89062, -6.80859, 634.06250), 100.0)])),
("snake sector", sector.HARegion("Snake Sector", 100.0, [sector.HASphere(vector3.Vector3(-18.70703, 73.12109, 595.23438), 100.0)])),
("pipe (bowl) sector", sector.HARegion("Pipe (bowl) Sector", 100.0, [sector.HASphere(vector3.Vector3(-11.31250, 36.61719, 498.52930), 100.0)])),
("ophiuchus dark region c sector", sector.HARegion("Ophiuchus Dark Region C Sector", 100.0, [sector.HASphere(vector3.Vector3(-9.00781, 63.37109, 516.04492), 100.0)])),
("rho ophiuchi sector", sector.HARegion("Rho Ophiuchi Sector", 100.0, [sector.HASphere(vector3.Vector3(52.26953, 152.01562, 473.45508), 100.0)])),
("ophiuchus dark region", sector.HARegion("Ophiuchus Dark Region", 100.0, [sector.HASphere(vector3.Vector3(43.33984, 152.03516, 495.38672), 100.0)])),
("corona austr. dark region", sector.HARegion("Corona Austr. Dark Region", 100.0, [sector.HASphere(vector3.Vector3(-8.52734, -177.85156, 488.56641), 100.0)])),
("aquila dark region", sector.HARegion("Aquila Dark Region", 100.0, [sector.HASphere(vector3.Vector3(-719.23047, -17.45312, 694.55273), 100.0)])),
("vulpecula dark region", sector.HARegion("Vulpecula Dark Region", 100.0, [sector.HASphere(vector3.Vector3(-543.80859, 45.33984, 353.15234), 100.0)])),
("cepheus dark region", sector.HARegion("Cepheus Dark Region", 100.0, [sector.HASphere(vector3.Vector3(-1373.48438, 243.10938, -120.16406), 100.0)])),
("cepheus dark region b sector", sector.HARegion("Cepheus Dark Region B Sector", 100.0, [sector.HASphere(vector3.Vector3(-945.42578, 241.92188, -218.26953), 100.0)])),
("horsehead dark region", sector.HARegion("Horsehead Dark Region", 200.0, [sector.HASphere(vector3.Vector3(608.46094, -404.64453, -1194.16992), 200.0)], needs_permit=True)),
("parrot's head sector", sector.HARegion("Parrot's Head Sector", 100.0, [sector.HASphere(vector3.Vector3(19.11719, -90.63281, 995.70117), 100.0)])),
("struve's lost sector", sector.HARegion("Struve's Lost Sector", 100.0, [sector.HASphere(vector3.Vector3(-30.95703, -178.36719, -466.07617), 100.0)])),
("bow-tie sector", sector.HARegion("Bow-Tie Sector", 100.0, [sector.HASphere(vector3.Vector3(-2985.95312, 601.75000, -1723.94141), 100.0)])),
("skull sector", sector.HARegion("Skull Sector", 100.0, [sector.HASphere(vector3.Vector3(-369.61719, -1543.29297, -204.04102), 100.0)])),
("little dumbbell sector", sector.HARegion("Little Dumbbell Sector", 100.0, [sector.HASphere(vector3.Vector3(-1560.71484, -382.69531, -1351.93164), 100.0)])),
("ic 289 sector", sector.HARegion("IC 289 Sector", 100.0, [sector.HASphere(vector3.Vector3(-1118.43359, 83.04297, -1277.57812), 100.0)])),
("ngc 1360 sector", sector.HARegion("NGC 1360 Sector", 100.0, [sector.HASphere(vector3.Vector3(437.24219, -925.14844, -513.75586), 100.0)])),
("ngc 1501 sector", sector.HARegion("NGC 1501 Sector", 100.0, [sector.HASphere(vector3.Vector3(-2071.58984, 413.77344, -2915.01367), 100.0)])),
("ngc 1514 sector", sector.HARegion("NGC 1514 Sector", 100.0, [sector.HASphere(vector3.Vector3(-202.23438, -218.68750, -807.39844), 100.0)])),
("ngc 1535 sector", sector.HARegion("NGC 1535 Sector", 100.0, [sector.HASphere(vector3.Vector3(1422.89844, -2733.25000, -2853.89062), 100.0)])),
("ngc 2022 sector", sector.HARegion("NGC 2022 Sector", 100.0, [sector.HASphere(vector3.Vector3(2934.63281, -1966.59375, -9781.63867), 100.0)])),
("ic 2149 sector", sector.HARegion("IC 2149 Sector", 100.0, [sector.HASphere(vector3.Vector3(-1688.68359, 1312.09766, -6875.08203), 100.0)])),
("ic 2165 sector", sector.HARegion("IC 2165 Sector", 100.0, [sector.HASphere(vector3.Vector3(9024.47656, -3006.29297, -10272.34375), 100.0)])),
("butterfly sector", sector.HARegion("Butterfly Sector", 100.0, [sector.HASphere(vector3.Vector3(1747.16797, 188.37109, -2431.44336), 100.0)])),
("ngc 2371/2 sector", sector.HARegion("NGC 2371/2 Sector", 100.0, [sector.HASphere(vector3.Vector3(661.47266, 1497.67188, -4084.04688), 100.0)])),
("eskimo sector", sector.HARegion("Eskimo Sector", 100.0, [sector.HASphere(vector3.Vector3(234.63281, 239.23438, -726.43945), 100.0)])),
("ngc 2438 sector", sector.HARegion("NGC 2438 Sector", 100.0, [sector.HASphere(vector3.Vector3(2508.30469, 228.79297, -1973.84180), 100.0)])),
("ngc 2440 sector", sector.HARegion("NGC 2440 Sector", 100.0, [sector.HASphere(vector3.Vector3(4653.64062, 238.69141, -3282.78125), 100.0)])),
("ngc 2452 sector", sector.HARegion("NGC 2452 Sector", 100.0, [sector.HASphere(vector3.Vector3(9387.19141, -183.25000, -4700.75391), 100.0)])),
("ic 2448 sector", sector.HARegion("IC 2448 Sector", 100.0, [sector.HASphere(vector3.Vector3(8457.82422, -2355.25391, 2393.32227), 100.0)])),
("ngc 2792 sector", sector.HARegion("NGC 2792 Sector", 100.0, [sector.HASphere(vector3.Vector3(8157.05078, 586.27734, -599.01562), 100.0)])),
("ngc 2818 sector", sector.HARegion("NGC 2818 Sector", 100.0, [sector.HASphere(vector3.Vector3(8322.63672, 1271.05078, -1169.66992), 100.0)])),
("ngc 2867 sector", sector.HARegion("NGC 2867 Sector", 100.0, [sector.HASphere(vector3.Vector3(12208.21094, -1274.62891, 1759.23047), 100.0)])),
("ngc 2899 sector", sector.HARegion("NGC 2899 Sector", 100.0, [sector.HASphere(vector3.Vector3(6434.56641, -430.78125, 812.87500), 100.0)])),
("ic 2501 sector", sector.HARegion("IC 2501 Sector", 100.0, [sector.HASphere(vector3.Vector3(18754.05469, -1906.93750, 3645.41797), 100.0)])),
("eight burst sector", sector.HARegion("Eight Burst Sector", 100.0, [sector.HASphere(vector3.Vector3(2049.63281, 450.94531, 75.15625), 100.0)])),
("ic 2553 sector", sector.HARegion("IC 2553 Sector", 100.0, [sector.HASphere(vector3.Vector3(12855.33984, -1261.05078, 3565.10156), 100.0)])),
("ngc 3195 sector", sector.HARegion("NGC 3195 Sector", 100.0, [sector.HASphere(vector3.Vector3(4656.55469, -1895.47656, 2331.83008), 100.0)])),
("ngc 3211 sector", sector.HARegion("NGC 3211 Sector", 100.0, [sector.HASphere(vector3.Vector3(8797.93750, -785.83594, 2572.69727), 100.0)])),
("ghost of jupiter sector", sector.HARegion("Ghost of Jupiter Sector", 100.0, [sector.HASphere(vector3.Vector3(1171.69141, 743.95703, -183.48242), 100.0)])),
("ic 2621 sector", sector.HARegion("IC 2621 Sector", 100.0, [sector.HASphere(vector3.Vector3(14360.99219, -1297.00781, 5685.91992), 100.0)])),
("owl sector", sector.HARegion("Owl Sector", 100.0, [sector.HASphere(vector3.Vector3(-624.37891, 1847.16406, -1018.89062), 100.0)])),
("ngc 3699 sector", sector.HARegion("NGC 3699 Sector", 100.0, [sector.HASphere(vector3.Vector3(4150.35156, 102.09375, 1736.13086), 100.0)])),
("blue planetary sector", sector.HARegion("Blue planetary Sector", 100.0, [sector.HASphere(vector3.Vector3(4527.26562, 409.69141, 2082.31055), 100.0)])),
("ngc 4361 sector", sector.HARegion("NGC 4361 Sector", 100.0, [sector.HASphere(vector3.Vector3(3106.92969, 3241.21094, 1389.79688), 100.0)])),
("lemon slice sector", sector.HARegion("Lemon Slice Sector", 100.0, [sector.HASphere(vector3.Vector3(-3085.35938, 2548.82812, -2057.67773), 100.0)])),
("ic 4191 sector", sector.HARegion("IC 4191 Sector", 100.0, [sector.HASphere(vector3.Vector3(11811.59375, -1204.96094, 8148.27148), 100.0)])),
("spiral planetary sector", sector.HARegion("Spiral Planetary Sector", 100.0, [sector.HASphere(vector3.Vector3(1415.32812, -105.56641, 1074.29297), 100.0)])),
("ngc 5307 sector", sector.HARegion("NGC 5307 Sector", 100.0, [sector.HASphere(vector3.Vector3(5879.41797, 1490.00781, 5368.64453), 100.0)])),
("ngc 5315 sector", sector.HARegion("NGC 5315 Sector", 100.0, [sector.HASphere(vector3.Vector3(6499.57812, -644.44141, 5282.06250), 100.0)])),
("retina sector", sector.HARegion("Retina Sector", 100.0, [sector.HASphere(vector3.Vector3(1867.97656, 811.80078, 2202.64258), 100.0)])),
("ngc 5873 sector", sector.HARegion("NGC 5873 Sector", 100.0, [sector.HASphere(vector3.Vector3(13791.82031, 8670.95312, 25191.27344), 100.0)])),
("ngc 5882 sector", sector.HARegion("NGC 5882 Sector", 100.0, [sector.HASphere(vector3.Vector3(4616.64062, 1543.22656, 7331.10352), 100.0)])),
("ngc 5979 sector", sector.HARegion("NGC 5979 Sector", 100.0, [sector.HASphere(vector3.Vector3(5443.01172, -831.33594, 7119.16406), 100.0)])),
("fine ring sector", sector.HARegion("Fine Ring Sector", 100.0, [sector.HASphere(vector3.Vector3(513.22656, 34.89844, 857.54297), 100.0)])),
("ngc 6058 sector", sector.HARegion("NGC 6058 Sector", 100.0, [sector.HASphere(vector3.Vector3(-5472.94922, 6794.40625, 2587.05273), 100.0)])),
("white eyed pea sector", sector.HARegion("White Eyed Pea Sector", 100.0, [sector.HASphere(vector3.Vector3(-3882.09375, 7841.04688, 8212.63281), 100.0)])),
("ngc 6153 sector", sector.HARegion("NGC 6153 Sector", 100.0, [sector.HASphere(vector3.Vector3(1670.20703, 508.18359, 5110.00586), 100.0)])),
("ngc 6210 sector", sector.HARegion("NGC 6210 Sector", 100.0, [sector.HASphere(vector3.Vector3(-2861.42969, 3248.40625, 3057.78906), 100.0)])),
("ic 4634 sector", sector.HARegion("IC 4634 Sector", 100.0, [sector.HASphere(vector3.Vector3(-51.17578, 1584.93750, 7330.44141), 100.0)])),
("bug sector", sector.HARegion("Bug Sector", 100.0, [sector.HASphere(vector3.Vector3(619.48828, 65.26953, 3342.45117), 100.0)])),
("box sector", sector.HARegion("Box Sector", 100.0, [sector.HASphere(vector3.Vector3(-1759.31250, 2758.81250, 10292.41406), 100.0)])),
("ngc 6326 sector", sector.HARegion("NGC 6326 Sector", 100.0, [sector.HASphere(vector3.Vector3(4041.22266, -1606.91406, 10103.77734), 100.0)])),
("ngc 6337 sector", sector.HARegion("NGC 6337 Sector", 100.0, [sector.HASphere(vector3.Vector3(901.19531, -94.06641, 4815.49609), 100.0)])),
("little ghost sector", sector.HARegion("Little Ghost Sector", 100.0, [sector.HASphere(vector3.Vector3(-204.10547, 503.68359, 4869.76758), 100.0)])),
("ic 4663 sector", sector.HARegion("IC 4663 Sector", 100.0, [sector.HASphere(vector3.Vector3(1523.71094, -927.08984, 6250.50586), 100.0)])),
("ngc 6445 sector", sector.HARegion("NGC 6445 Sector", 100.0, [sector.HASphere(vector3.Vector3(-632.58594, 306.07031, 4444.78906), 100.0)])),
("cat's eye sector", sector.HARegion("Cat's Eye Sector", 100.0, [sector.HASphere(vector3.Vector3(-2809.64062, 1626.06641, -320.11719), 100.0)])),
("ic 4673 sector", sector.HARegion("IC 4673 Sector", 100.0, [sector.HASphere(vector3.Vector3(-840.65625, -561.13281, 13361.82812), 100.0)], needs_permit=True)),
("red spider sector", sector.HARegion("Red Spider Sector", 100.0, [sector.HASphere(vector3.Vector3(-526.06250, 36.65234, 2953.28906), 100.0)])),
("ngc 6565 sector", sector.HARegion("NGC 6565 Sector", 100.0, [sector.HASphere(vector3.Vector3(-359.02734, -473.17188, 5870.02539), 100.0)])),
("ngc 6563 sector", sector.HARegion("NGC 6563 Sector", 100.0, [sector.HASphere(vector3.Vector3(80.49219, -393.89844, 3073.81836), 100.0)])),
("ngc 6572 sector", sector.HARegion("NGC 6572 Sector", 100.0, [sector.HASphere(vector3.Vector3(-4333.99219, 1608.39453, 6282.48047), 100.0)])),
("ngc 6567 sector", sector.HARegion("NGC 6567 Sector", 100.0, [sector.HASphere(vector3.Vector3(-851.64453, -51.31250, 4112.42969), 100.0)])),
("ic 4699 sector", sector.HARegion("IC 4699 Sector", 100.0, [sector.HASphere(vector3.Vector3(4137.37891, -4924.67578, 19464.83203), 100.0)])),
("ngc 6629 sector", sector.HARegion("NGC 6629 Sector", 100.0, [sector.HASphere(vector3.Vector3(-1041.14844, -568.92188, 6289.06445), 100.0)])),
("ngc 6644 sector", sector.HARegion("NGC 6644 Sector", 100.0, [sector.HASphere(vector3.Vector3(-1420.00781, -1245.23438, 9616.28516), 100.0)])),
("ic 4776 sector", sector.HARegion("IC 4776 Sector", 100.0, [sector.HASphere(vector3.Vector3(-855.50781, -5561.94922, 23330.94141), 100.0)])),
("ring sector", sector.HARegion("Ring Sector", 100.0, [sector.HASphere(vector3.Vector3(-1977.24219, 552.30859, 998.77734), 100.0)])),
("phantom streak sector", sector.HARegion("Phantom Streak Sector", 100.0, [sector.HASphere(vector3.Vector3(-3611.90625, -306.19141, 5395.40234), 100.0)])),
("ngc 6751 sector", sector.HARegion("NGC 6751 Sector", 100.0, [sector.HASphere(vector3.Vector3(-3105.76172, -657.87109, 5557.10742), 100.0)])),
("ic 4846 sector", sector.HARegion("IC 4846 Sector", 100.0, [sector.HASphere(vector3.Vector3(-11325.47656, -4178.53516, 21663.64062), 100.0)])),
("ic 1297 sector", sector.HARegion("IC 1297 Sector", 100.0, [sector.HASphere(vector3.Vector3(215.14844, -2871.37109, 7249.06445), 100.0)])),
("ngc 6781 sector", sector.HARegion("NGC 6781 Sector", 100.0, [sector.HASphere(vector3.Vector3(-3394.65625, -266.91406, 3796.71680), 100.0)])),
("ngc 6790 sector", sector.HARegion("NGC 6790 Sector", 100.0, [sector.HASphere(vector3.Vector3(-2014.89844, -362.12500, 2588.25195), 100.0)])),
("ngc 6803 sector", sector.HARegion("NGC 6803 Sector", 100.0, [sector.HASphere(vector3.Vector3(-4117.21484, -407.53516, 3920.77148), 100.0)])),
("ngc 6804 sector", sector.HARegion("NGC 6804 Sector", 100.0, [sector.HASphere(vector3.Vector3(-3573.00781, -400.99609, 3474.59766), 100.0)])),
("little gem sector", sector.HARegion("Little Gem Sector", 100.0, [sector.HASphere(vector3.Vector3(-2493.94922, -1844.14062, 5136.08398), 100.0)])),
("blinking sector", sector.HARegion("Blinking Sector", 100.0, [sector.HASphere(vector3.Vector3(-1938.14453, 443.09766, 217.39844), 100.0)])),
("ngc 6842 sector", sector.HARegion("NGC 6842 Sector", 100.0, [sector.HASphere(vector3.Vector3(-5476.70312, 62.83203, 2449.84766), 100.0)])),
("dumbbell sector", sector.HARegion("Dumbbell Sector", 100.0, [sector.HASphere(vector3.Vector3(-958.21094, -70.98438, 535.52734), 100.0)])),
("ngc 6852 sector", sector.HARegion("NGC 6852 Sector", 100.0, [sector.HASphere(vector3.Vector3(-3276.57812, -1251.89844, 3563.25391), 100.0)])),
("ngc 6884 sector", sector.HARegion("NGC 6884 Sector", 100.0, [sector.HASphere(vector3.Vector3(-2457.28516, 309.00391, 340.97656), 100.0)])),
("ngc 6879 sector", sector.HARegion("NGC 6879 Sector", 100.0, [sector.HASphere(vector3.Vector3(-17024.14453, -3171.56250, 10971.31250), 100.0)])),
("ngc 6886 sector", sector.HARegion("NGC 6886 Sector", 100.0, [sector.HASphere(vector3.Vector3(-7731.72266, -1205.87500, 4445.93750), 100.0)])),
("ngc 6891 sector", sector.HARegion("NGC 6891 Sector", 100.0, [sector.HASphere(vector3.Vector3(-6740.87891, -1781.75781, 4861.67578), 100.0)])),
("ic 4997 sector", sector.HARegion("IC 4997 Sector", 100.0, [sector.HASphere(vector3.Vector3(-6681.43359, -1526.47266, 4126.53711), 100.0)])),
("blue flash sector", sector.HARegion("Blue Flash Sector", 100.0, [sector.HASphere(vector3.Vector3(-2599.53125, 500.30469, 1411.42969), 100.0)])),
("fetus sector", sector.HARegion("Fetus Sector", 100.0, [sector.HASphere(vector3.Vector3(-2881.56641, 277.95312, -171.19727), 100.0)])),
("saturn sector", sector.HARegion("Saturn Sector", 100.0, [sector.HASphere(vector3.Vector3(-2623.43359, -2952.78906, 3382.10742), 100.0)])),
("ngc 7026 sector", sector.HARegion("NGC 7026 Sector", 100.0, [sector.HASphere(vector3.Vector3(-5998.94141, 41.88672, 104.71094), 100.0)])),
("ngc 7027 sector", sector.HARegion("NGC 7027 Sector", 100.0, [sector.HASphere(vector3.Vector3(-3380.22266, -207.56641, 301.67773), 100.0)])),
("ngc 7048 sector", sector.HARegion("NGC 7048 Sector", 100.0, [sector.HASphere(vector3.Vector3(-5596.30859, -166.13281, 117.22656), 100.0)])),
("ic 5117 sector", sector.HARegion("IC 5117 Sector", 100.0, [sector.HASphere(vector3.Vector3(-2988.11719, -266.68359, 5.21484), 100.0)])),
("ic 5148 sector", sector.HARegion("IC 5148 Sector", 100.0, [sector.HASphere(vector3.Vector3(-86.22656, -2376.86719, 1828.40430), 100.0)])),
("ic 5217 sector", sector.HARegion("IC 5217 Sector", 100.0, [sector.HASphere(vector3.Vector3(-9198.58594, -884.61719, -1721.46875), 100.0)])),
("helix sector", sector.HARegion("Helix Sector", 100.0, [sector.HASphere(vector3.Vector3(-222.85938, -583.28516, 304.50195), 100.0)])),
("ngc 7354 sector", sector.HARegion("NGC 7354 Sector", 100.0, [sector.HASphere(vector3.Vector3(-3995.72266, 168.55469, -1282.88672), 100.0)])),
("blue snowball sector", sector.HARegion("Blue Snowball Sector", 100.0, [sector.HASphere(vector3.Vector3(-5024.05469, -1663.03516, -1497.73438), 100.0)])),
("g2 dust cloud sector", sector.HARegion("G2 Dust Cloud Sector", 100.0, [sector.HASphere(vector3.Vector3(27.12500, -22.49609, 27899.97656), 100.0)])),
("regor sector", sector.HARegion("Regor Sector", 100.0, [sector.HASphere(vector3.Vector3(1099.23828, -146.67188, -133.58008), 100.0)], needs_permit=True)),
("icz", sector.HARegion("ICZ", 40, [
# The following coords/radii are the real spheres that make up ICZ
sector.HASphere(vector3.Vector3(11, -118, 56), 40),
sector.HASphere(vector3.Vector3(17, -122, 32), 40),
sector.HASphere(vector3.Vector3(32, -170, 13), 40),
sector.HASphere(vector3.Vector3(34, -115, 100), 40),
sector.HASphere(vector3.Vector3(45, -118, 85), 40),
sector.HASphere(vector3.Vector3(53, -130, 14), 40),
sector.HASphere(vector3.Vector3(62, -105, 22), 40),
sector.HASphere(vector3.Vector3(65, -117, 47), 40),
sector.HASphere(vector3.Vector3(67, -119, 24), 40),
sector.HASphere(vector3.Vector3(75, -135, 19), 40),
sector.HASphere(vector3.Vector3(78, -100, 16), 40),
sector.HASphere(vector3.Vector3(79, -167, 25), 40),
sector.HASphere(vector3.Vector3(81, -150, 96), 40),
sector.HASphere(vector3.Vector3(82, -131, 0), 40),
sector.HASphere(vector3.Vector3(92, -95, 11), 40),
sector.HASphere(vector3.Vector3(106, -95, 0), 40),
])),
# Permit regions
("bleia2", sector.HARegion("Bleia2", 512, [sector.HASphere(vector3.Vector3(-43, 155, 37000), 512)], needs_permit=True)),
("bleia3", sector.HARegion("Bleia3", 512, [sector.HASphere(vector3.Vector3(-43, 155, 36500), 512)], needs_permit=True)),
("bleia4", sector.HARegion("Bleia4", 512, [sector.HASphere(vector3.Vector3(450, 155, 37000), 512)], needs_permit=True)),
("bleia5", sector.HARegion("Bleia5", 512, [sector.HASphere(vector3.Vector3(-450, 155, 37000), 512)], needs_permit=True)),
("bleia1", sector.HARegion("Bleia1", 512, [sector.HASphere(vector3.Vector3(-43, 155, 37500), 512)], needs_permit=True)),
("bovomit", sector.HARegion("Bovomit", 512, [sector.HASphere(vector3.Vector3(-20070, 90, -6930), 512)], needs_permit=True)),
("dryman", sector.HARegion("Dryman", 512, [sector.HASphere(vector3.Vector3(19100, 20, 21160), 512)], needs_permit=True)),
("froadik", sector.HARegion("Froadik", 512, [sector.HASphere(vector3.Vector3(-18860, -200, 14300), 512)], needs_permit=True)),
("hyponia", sector.HARegion("Hyponia", 512, [sector.HASphere(vector3.Vector3(-23020, -10, 24080), 512)], needs_permit=True)),
("praei3", sector.HARegion("Praei3", 512, [sector.HASphere(vector3.Vector3(-1000, -155, 53600), 512)], needs_permit=True)),
("praei1", sector.HARegion("Praei1", 512, [sector.HASphere(vector3.Vector3(-1000, -155, 54000), 512)], needs_permit=True)),
("praei2", sector.HARegion("Praei2", 512, [sector.HASphere(vector3.Vector3(-1000, -155, 54400), 512)], needs_permit=True)),
("praei4", sector.HARegion("Praei4", 512, [sector.HASphere(vector3.Vector3(-1000, -555, 54000), 512)], needs_permit=True)),
("praei5", sector.HARegion("Praei5", 512, [sector.HASphere(vector3.Vector3(-1000, 455, 54000), 512)], needs_permit=True)),
("praei6", sector.HARegion("Praei6", 512, [sector.HASphere(vector3.Vector3(-500, -100, 53500), 512)], needs_permit=True)),
("sidgoir", sector.HARegion("Sidgoir", 100, [sector.HASphere(vector3.Vector3(-24120, 10, -1220), 100)], needs_permit=True)),
])
# Sort by increasing size for checks, so smaller sectors are checked first
# NOTE: This relies on behaviour of sorting whereby if the sort key is
# equal (i.e. sectors of identical size) the existing order is retained
ha_regions = collections.OrderedDict(sorted(ha_regions.items(), key=lambda t: t[1].size))
# Also define this for backwards compatibility
ha_sectors = ha_regions
| 110.425
| 179
| 0.680286
| 11,358
| 75,089
| 4.48468
| 0.209544
| 0.132203
| 0.198304
| 0.264405
| 0.375778
| 0.288278
| 0.275124
| 0.045625
| 0.020614
| 0.019907
| 0
| 0.272798
| 0.098816
| 75,089
| 679
| 180
| 110.587629
| 0.479939
| 0.018778
| 0
| 0.008091
| 0
| 0.001618
| 0.204636
| 0.00167
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.008091
| 0
| 0.008091
| 0
| 0
| 0
| 0
| null | 0
| 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
| 5
|
bf8627d375cf895cf89704a8489ab629b2f6cdbb
| 249
|
py
|
Python
|
Credit Risk Prediction - Univ.AI/src/submission.py
|
mrityu-jha/ML-DL-Challenges
|
5ccf1c28d2db631aae577732c9bb6f095322e99c
|
[
"MIT"
] | null | null | null |
Credit Risk Prediction - Univ.AI/src/submission.py
|
mrityu-jha/ML-DL-Challenges
|
5ccf1c28d2db631aae577732c9bb6f095322e99c
|
[
"MIT"
] | null | null | null |
Credit Risk Prediction - Univ.AI/src/submission.py
|
mrityu-jha/ML-DL-Challenges
|
5ccf1c28d2db631aae577732c9bb6f095322e99c
|
[
"MIT"
] | null | null | null |
import urllib.parse
print( "Hello, Please refer to the below link to access my codes/notebooks being used for Credit Risk Prediction Hackathon")
s = urllib.parse.quote( 'github.com/mrityu-jha/Credit-Risk-Prediction-Univ.AI.git')
print('https://'+s)
| 49.8
| 124
| 0.771084
| 40
| 249
| 4.8
| 0.8
| 0.114583
| 0.208333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.104418
| 249
| 4
| 125
| 62.25
| 0.860987
| 0
| 0
| 0
| 0
| 0.25
| 0.714859
| 0.2249
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.25
| 0
| 0.25
| 0.5
| 0
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
bf9c418efafede01fd1fe96486cab5628df1217c
| 145
|
py
|
Python
|
CS1410/Mod1_Practice/schoolPractice/Equality.py
|
Davidjbennett/DavidBennett.github.io
|
09a2652b7ace8741bf23c6432abd58ee790b9f0c
|
[
"MIT"
] | 3
|
2021-05-18T16:17:29.000Z
|
2022-01-20T15:46:59.000Z
|
CS1410/Mod1_Practice/schoolPractice/Equality.py
|
Davidjbennett/DavidBennett
|
09a2652b7ace8741bf23c6432abd58ee790b9f0c
|
[
"MIT"
] | null | null | null |
CS1410/Mod1_Practice/schoolPractice/Equality.py
|
Davidjbennett/DavidBennett
|
09a2652b7ace8741bf23c6432abd58ee790b9f0c
|
[
"MIT"
] | null | null | null |
first = [10,20,30]
second = first
third = list(first)
print(first == second)
print(first == third)
print(first is second)
print(first is third)
| 16.111111
| 22
| 0.703448
| 23
| 145
| 4.434783
| 0.391304
| 0.392157
| 0.313725
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.04878
| 0.151724
| 145
| 9
| 23
| 16.111111
| 0.780488
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.571429
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
449c986b0e31e6560fc043808de0556dfd190e0f
| 169
|
py
|
Python
|
packages/server/invites/src/domain/controller/__init__.py
|
gbartoczevicz/moosic
|
003ff5cff628505093cc08ad0fbd273272172a51
|
[
"MIT"
] | 3
|
2021-09-30T00:41:31.000Z
|
2022-03-15T00:14:23.000Z
|
packages/server/invites/src/domain/controller/__init__.py
|
gbartoczevicz/moosic
|
003ff5cff628505093cc08ad0fbd273272172a51
|
[
"MIT"
] | 13
|
2021-09-20T22:29:52.000Z
|
2021-12-05T01:59:34.000Z
|
packages/server/invites/src/domain/controller/__init__.py
|
gabrielbartoczevicz/moosic
|
003ff5cff628505093cc08ad0fbd273272172a51
|
[
"MIT"
] | 1
|
2021-11-10T22:11:55.000Z
|
2021-11-10T22:11:55.000Z
|
from .create_invite import CreateInviteController
from ..usecases import create_invite_usecase
create_invite_controller = CreateInviteController(create_invite_usecase)
| 33.8
| 72
| 0.893491
| 18
| 169
| 8
| 0.444444
| 0.333333
| 0.263889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.071006
| 169
| 4
| 73
| 42.25
| 0.917197
| 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
| 0
| 0
|
0
| 5
|
44ba63f3647ceeb589ce1842b68940e92b0bb81b
| 173
|
py
|
Python
|
agronet_be/AgronetApp/models/__init__.py
|
lauraC4MP0/Prueba-github
|
291fc266fc0a8efc80ab36dd6eb4bff3e98e7c1f
|
[
"MIT"
] | 1
|
2021-10-06T00:39:08.000Z
|
2021-10-06T00:39:08.000Z
|
agronet_be/AgronetApp/models/__init__.py
|
lauraC4MP0/Prueba-github
|
291fc266fc0a8efc80ab36dd6eb4bff3e98e7c1f
|
[
"MIT"
] | null | null | null |
agronet_be/AgronetApp/models/__init__.py
|
lauraC4MP0/Prueba-github
|
291fc266fc0a8efc80ab36dd6eb4bff3e98e7c1f
|
[
"MIT"
] | 1
|
2021-10-03T13:39:31.000Z
|
2021-10-03T13:39:31.000Z
|
from .product import Product
from .departament import Departament
from .city import City
from .orderDetail import OrderDetail
from .order import Order
from .user import User
| 28.833333
| 36
| 0.83237
| 24
| 173
| 6
| 0.333333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.132948
| 173
| 6
| 37
| 28.833333
| 0.96
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
44d97cec1d9b32b7e2914ecab12420157a4f75cc
| 223
|
py
|
Python
|
rec_to_nwb/processing/nwb/components/analog/old_fl_analog_builder.py
|
EMK-Lab/rec_to_nwb
|
d3550b4c1df9629a3687fa5a9208d142c9c7c7fb
|
[
"Apache-2.0"
] | 8
|
2020-05-29T13:48:35.000Z
|
2021-11-19T04:24:48.000Z
|
rec_to_nwb/processing/nwb/components/analog/old_fl_analog_builder.py
|
EMK-Lab/rec_to_nwb
|
d3550b4c1df9629a3687fa5a9208d142c9c7c7fb
|
[
"Apache-2.0"
] | 8
|
2020-07-13T00:42:35.000Z
|
2020-11-16T16:17:12.000Z
|
rec_to_nwb/processing/nwb/components/analog/old_fl_analog_builder.py
|
EMK-Lab/rec_to_nwb
|
d3550b4c1df9629a3687fa5a9208d142c9c7c7fb
|
[
"Apache-2.0"
] | 1
|
2020-08-28T01:34:35.000Z
|
2020-08-28T01:34:35.000Z
|
from rec_to_nwb.processing.nwb.components.analog.fl_analog import FlAnalog
class OldFlAnalogBuilder:
@staticmethod
def build(data, timestamps, description):
return FlAnalog(data, timestamps, description)
| 24.777778
| 74
| 0.775785
| 25
| 223
| 6.8
| 0.76
| 0.164706
| 0.294118
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.152466
| 223
| 8
| 75
| 27.875
| 0.899471
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.2
| 0.2
| 0.8
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
78297729387284e49b1f84299398b83a0dc26f20
| 66,793
|
py
|
Python
|
interface/Python/smg2s/smg2s.py
|
SMG2S/SMG2S
|
4e61cf36951289c8deeb74e312131430c1ac12f8
|
[
"MIT"
] | 2
|
2019-03-22T10:36:01.000Z
|
2019-11-17T20:24:53.000Z
|
interface/Python/smg2s/smg2s.py
|
SMG2S/SMG2S
|
4e61cf36951289c8deeb74e312131430c1ac12f8
|
[
"MIT"
] | 1
|
2020-04-07T07:55:29.000Z
|
2020-04-10T09:07:36.000Z
|
interface/Python/smg2s/smg2s.py
|
SMG2S/SMG2S
|
4e61cf36951289c8deeb74e312131430c1ac12f8
|
[
"MIT"
] | 2
|
2018-08-22T21:34:21.000Z
|
2020-03-24T09:41:57.000Z
|
# This file was automatically generated by SWIG (http://www.swig.org).
# Version 3.0.12
#
# Do not make changes to this file unless you know what you are doing--modify
# the SWIG interface file instead.
from sys import version_info as _swig_python_version_info
if _swig_python_version_info >= (2, 7, 0):
def swig_import_helper():
import importlib
pkg = __name__.rpartition('.')[0]
mname = '.'.join((pkg, '_smg2s')).lstrip('.')
try:
return importlib.import_module(mname)
except ImportError:
return importlib.import_module('_smg2s')
_smg2s = swig_import_helper()
del swig_import_helper
elif _swig_python_version_info >= (2, 6, 0):
def swig_import_helper():
from os.path import dirname
import imp
fp = None
try:
fp, pathname, description = imp.find_module('_smg2s', [dirname(__file__)])
except ImportError:
import _smg2s
return _smg2s
try:
_mod = imp.load_module('_smg2s', fp, pathname, description)
finally:
if fp is not None:
fp.close()
return _mod
_smg2s = swig_import_helper()
del swig_import_helper
else:
import _smg2s
del _swig_python_version_info
try:
_swig_property = property
except NameError:
pass # Python < 2.2 doesn't have 'property'.
try:
import builtins as __builtin__
except ImportError:
import __builtin__
def _swig_setattr_nondynamic(self, class_type, name, value, static=1):
if (name == "thisown"):
return self.this.own(value)
if (name == "this"):
if type(value).__name__ == 'SwigPyObject':
self.__dict__[name] = value
return
method = class_type.__swig_setmethods__.get(name, None)
if method:
return method(self, value)
if (not static):
if _newclass:
object.__setattr__(self, name, value)
else:
self.__dict__[name] = value
else:
raise AttributeError("You cannot add attributes to %s" % self)
def _swig_setattr(self, class_type, name, value):
return _swig_setattr_nondynamic(self, class_type, name, value, 0)
def _swig_getattr(self, class_type, name):
if (name == "thisown"):
return self.this.own()
method = class_type.__swig_getmethods__.get(name, None)
if method:
return method(self)
raise AttributeError("'%s' object has no attribute '%s'" % (class_type.__name__, name))
def _swig_repr(self):
try:
strthis = "proxy of " + self.this.__repr__()
except __builtin__.Exception:
strthis = ""
return "<%s.%s; %s >" % (self.__class__.__module__, self.__class__.__name__, strthis,)
try:
_object = object
_newclass = 1
except __builtin__.Exception:
class _object:
pass
_newclass = 0
class SwigPyIterator(_object):
__swig_setmethods__ = {}
__setattr__ = lambda self, name, value: _swig_setattr(self, SwigPyIterator, name, value)
__swig_getmethods__ = {}
__getattr__ = lambda self, name: _swig_getattr(self, SwigPyIterator, name)
def __init__(self, *args, **kwargs):
raise AttributeError("No constructor defined - class is abstract")
__repr__ = _swig_repr
__swig_destroy__ = _smg2s.delete_SwigPyIterator
__del__ = lambda self: None
def value(self):
return _smg2s.SwigPyIterator_value(self)
def incr(self, n=1):
return _smg2s.SwigPyIterator_incr(self, n)
def decr(self, n=1):
return _smg2s.SwigPyIterator_decr(self, n)
def distance(self, x):
return _smg2s.SwigPyIterator_distance(self, x)
def equal(self, x):
return _smg2s.SwigPyIterator_equal(self, x)
def copy(self):
return _smg2s.SwigPyIterator_copy(self)
def next(self):
return _smg2s.SwigPyIterator_next(self)
def __next__(self):
return _smg2s.SwigPyIterator___next__(self)
def previous(self):
return _smg2s.SwigPyIterator_previous(self)
def advance(self, n):
return _smg2s.SwigPyIterator_advance(self, n)
def __eq__(self, x):
return _smg2s.SwigPyIterator___eq__(self, x)
def __ne__(self, x):
return _smg2s.SwigPyIterator___ne__(self, x)
def __iadd__(self, n):
return _smg2s.SwigPyIterator___iadd__(self, n)
def __isub__(self, n):
return _smg2s.SwigPyIterator___isub__(self, n)
def __add__(self, n):
return _smg2s.SwigPyIterator___add__(self, n)
def __sub__(self, *args):
return _smg2s.SwigPyIterator___sub__(self, *args)
def __iter__(self):
return self
SwigPyIterator_swigregister = _smg2s.SwigPyIterator_swigregister
SwigPyIterator_swigregister(SwigPyIterator)
def factorial(start, end):
return _smg2s.factorial(start, end)
factorial = _smg2s.factorial
def import_mpi4py():
return _smg2s.import_mpi4py()
import_mpi4py = _smg2s.import_mpi4py
class NilpotencyInt(_object):
__swig_setmethods__ = {}
__setattr__ = lambda self, name, value: _swig_setattr(self, NilpotencyInt, name, value)
__swig_getmethods__ = {}
__getattr__ = lambda self, name: _swig_getattr(self, NilpotencyInt, name)
__repr__ = _swig_repr
__swig_setmethods__["diagPosition"] = _smg2s.NilpotencyInt_diagPosition_set
__swig_getmethods__["diagPosition"] = _smg2s.NilpotencyInt_diagPosition_get
if _newclass:
diagPosition = _swig_property(_smg2s.NilpotencyInt_diagPosition_get, _smg2s.NilpotencyInt_diagPosition_set)
__swig_setmethods__["nbOne"] = _smg2s.NilpotencyInt_nbOne_set
__swig_getmethods__["nbOne"] = _smg2s.NilpotencyInt_nbOne_get
if _newclass:
nbOne = _swig_property(_smg2s.NilpotencyInt_nbOne_get, _smg2s.NilpotencyInt_nbOne_set)
__swig_setmethods__["matrix_size"] = _smg2s.NilpotencyInt_matrix_size_set
__swig_getmethods__["matrix_size"] = _smg2s.NilpotencyInt_matrix_size_get
if _newclass:
matrix_size = _swig_property(_smg2s.NilpotencyInt_matrix_size_get, _smg2s.NilpotencyInt_matrix_size_set)
__swig_setmethods__["nilpotency"] = _smg2s.NilpotencyInt_nilpotency_set
__swig_getmethods__["nilpotency"] = _smg2s.NilpotencyInt_nilpotency_get
if _newclass:
nilpotency = _swig_property(_smg2s.NilpotencyInt_nilpotency_get, _smg2s.NilpotencyInt_nilpotency_set)
__swig_setmethods__["setup"] = _smg2s.NilpotencyInt_setup_set
__swig_getmethods__["setup"] = _smg2s.NilpotencyInt_setup_get
if _newclass:
setup = _swig_property(_smg2s.NilpotencyInt_setup_get, _smg2s.NilpotencyInt_setup_set)
def __init__(self, *args):
this = _smg2s.new_NilpotencyInt(*args)
try:
self.this.append(this)
except __builtin__.Exception:
self.this = this
def NilpType1(self, num, size):
return _smg2s.NilpotencyInt_NilpType1(self, num, size)
def NilpType2(self, num, size):
return _smg2s.NilpotencyInt_NilpType2(self, num, size)
def NilpType3(self, diagP, num, size):
return _smg2s.NilpotencyInt_NilpType3(self, diagP, num, size)
__swig_destroy__ = _smg2s.delete_NilpotencyInt
__del__ = lambda self: None
NilpotencyInt_swigregister = _smg2s.NilpotencyInt_swigregister
NilpotencyInt_swigregister(NilpotencyInt)
class parMatrixSparseRealDoubleInt(_object):
__swig_setmethods__ = {}
__setattr__ = lambda self, name, value: _swig_setattr(self, parMatrixSparseRealDoubleInt, name, value)
__swig_getmethods__ = {}
__getattr__ = lambda self, name: _swig_getattr(self, parMatrixSparseRealDoubleInt, name)
__repr__ = _swig_repr
__swig_setmethods__["CSR_lloc"] = _smg2s.parMatrixSparseRealDoubleInt_CSR_lloc_set
__swig_getmethods__["CSR_lloc"] = _smg2s.parMatrixSparseRealDoubleInt_CSR_lloc_get
if _newclass:
CSR_lloc = _swig_property(_smg2s.parMatrixSparseRealDoubleInt_CSR_lloc_get, _smg2s.parMatrixSparseRealDoubleInt_CSR_lloc_set)
__swig_setmethods__["CSR_gloc"] = _smg2s.parMatrixSparseRealDoubleInt_CSR_gloc_set
__swig_getmethods__["CSR_gloc"] = _smg2s.parMatrixSparseRealDoubleInt_CSR_gloc_get
if _newclass:
CSR_gloc = _swig_property(_smg2s.parMatrixSparseRealDoubleInt_CSR_gloc_get, _smg2s.parMatrixSparseRealDoubleInt_CSR_gloc_set)
__swig_setmethods__["CSR_loc"] = _smg2s.parMatrixSparseRealDoubleInt_CSR_loc_set
__swig_getmethods__["CSR_loc"] = _smg2s.parMatrixSparseRealDoubleInt_CSR_loc_get
if _newclass:
CSR_loc = _swig_property(_smg2s.parMatrixSparseRealDoubleInt_CSR_loc_get, _smg2s.parMatrixSparseRealDoubleInt_CSR_loc_set)
__swig_setmethods__["dynmat_loc"] = _smg2s.parMatrixSparseRealDoubleInt_dynmat_loc_set
__swig_getmethods__["dynmat_loc"] = _smg2s.parMatrixSparseRealDoubleInt_dynmat_loc_get
if _newclass:
dynmat_loc = _swig_property(_smg2s.parMatrixSparseRealDoubleInt_dynmat_loc_get, _smg2s.parMatrixSparseRealDoubleInt_dynmat_loc_set)
def __init__(self, *args):
this = _smg2s.new_parMatrixSparseRealDoubleInt(*args)
try:
self.this.append(this)
except __builtin__.Exception:
self.this = this
__swig_destroy__ = _smg2s.delete_parMatrixSparseRealDoubleInt
__del__ = lambda self: None
def GetXMap(self):
return _smg2s.parMatrixSparseRealDoubleInt_GetXMap(self)
def GetYMap(self):
return _smg2s.parMatrixSparseRealDoubleInt_GetYMap(self)
def GetComm(self):
return _smg2s.parMatrixSparseRealDoubleInt_GetComm(self)
def GetXLowerBound(self):
return _smg2s.parMatrixSparseRealDoubleInt_GetXLowerBound(self)
def GetYLowerBound(self):
return _smg2s.parMatrixSparseRealDoubleInt_GetYLowerBound(self)
def GetXUpperBound(self):
return _smg2s.parMatrixSparseRealDoubleInt_GetXUpperBound(self)
def GetYUpperBound(self):
return _smg2s.parMatrixSparseRealDoubleInt_GetYUpperBound(self)
def GetTrueLocalSize(self, rs, cs):
return _smg2s.parMatrixSparseRealDoubleInt_GetTrueLocalSize(self, rs, cs)
def GetLocalSize(self, rs, cs):
return _smg2s.parMatrixSparseRealDoubleInt_GetLocalSize(self, rs, cs)
def GetDynMatGLobLoc(self):
return _smg2s.parMatrixSparseRealDoubleInt_GetDynMatGLobLoc(self)
def GetDynMatGlobLoc(self):
return _smg2s.parMatrixSparseRealDoubleInt_GetDynMatGlobLoc(self)
def GetDynMatLoc(self):
return _smg2s.parMatrixSparseRealDoubleInt_GetDynMatLoc(self)
def GetCSRLocLoc(self):
return _smg2s.parMatrixSparseRealDoubleInt_GetCSRLocLoc(self)
def GetCSRGlobLoc(self):
return _smg2s.parMatrixSparseRealDoubleInt_GetCSRGlobLoc(self)
def AddValueLocal(self, row, col, value):
return _smg2s.parMatrixSparseRealDoubleInt_AddValueLocal(self, row, col, value)
def AddValuesLocal(self, nindex, rows, cols, values):
return _smg2s.parMatrixSparseRealDoubleInt_AddValuesLocal(self, nindex, rows, cols, values)
def AddValue(self, row, col, value):
return _smg2s.parMatrixSparseRealDoubleInt_AddValue(self, row, col, value)
def SetValueLocal(self, row, col, value):
return _smg2s.parMatrixSparseRealDoubleInt_SetValueLocal(self, row, col, value)
def SetValuesLocal(self, nindex, rows, cols, values):
return _smg2s.parMatrixSparseRealDoubleInt_SetValuesLocal(self, nindex, rows, cols, values)
def SetValue(self, row, col, value):
return _smg2s.parMatrixSparseRealDoubleInt_SetValue(self, row, col, value)
def GetLocalValue(self, row, col):
return _smg2s.parMatrixSparseRealDoubleInt_GetLocalValue(self, row, col)
def GetValue(self, row, col):
return _smg2s.parMatrixSparseRealDoubleInt_GetValue(self, row, col)
def glocPlusLloc(self):
return _smg2s.parMatrixSparseRealDoubleInt_glocPlusLloc(self)
def llocToGlocLoc(self):
return _smg2s.parMatrixSparseRealDoubleInt_llocToGlocLoc(self)
def MatView(self):
return _smg2s.parMatrixSparseRealDoubleInt_MatView(self)
def LOC_MatView(self):
return _smg2s.parMatrixSparseRealDoubleInt_LOC_MatView(self)
def Loc_SetValueLocal(self, row, col, value):
return _smg2s.parMatrixSparseRealDoubleInt_Loc_SetValueLocal(self, row, col, value)
def Loc_SetValuesLocal(self, nindex, rows, cols, values):
return _smg2s.parMatrixSparseRealDoubleInt_Loc_SetValuesLocal(self, nindex, rows, cols, values)
def Loc_SetValue(self, row, col, value):
return _smg2s.parMatrixSparseRealDoubleInt_Loc_SetValue(self, row, col, value)
def Loc_GetLocalValue(self, row, col):
return _smg2s.parMatrixSparseRealDoubleInt_Loc_GetLocalValue(self, row, col)
def Loc_GetValue(self, row, col):
return _smg2s.parMatrixSparseRealDoubleInt_Loc_GetValue(self, row, col)
def SetDiagonal(self, diag):
return _smg2s.parMatrixSparseRealDoubleInt_SetDiagonal(self, diag)
def Loc_SetDiagonal(self, diag):
return _smg2s.parMatrixSparseRealDoubleInt_Loc_SetDiagonal(self, diag)
def MatScale(self, scale):
return _smg2s.parMatrixSparseRealDoubleInt_MatScale(self, scale)
def Loc_MatScale(self, scale):
return _smg2s.parMatrixSparseRealDoubleInt_Loc_MatScale(self, scale)
def Loc_MatAXPY(self, X, scale):
return _smg2s.parMatrixSparseRealDoubleInt_Loc_MatAXPY(self, X, scale)
def Loc_MatAYPX(self, X, scale):
return _smg2s.parMatrixSparseRealDoubleInt_Loc_MatAYPX(self, X, scale)
def ConvertToCSR(self):
return _smg2s.parMatrixSparseRealDoubleInt_ConvertToCSR(self)
def Loc_ConvertToCSR(self):
return _smg2s.parMatrixSparseRealDoubleInt_Loc_ConvertToCSR(self)
def ZeroEntries(self):
return _smg2s.parMatrixSparseRealDoubleInt_ZeroEntries(self)
def Loc_ZeroEntries(self):
return _smg2s.parMatrixSparseRealDoubleInt_Loc_ZeroEntries(self)
def MA(self, nilp, prod):
return _smg2s.parMatrixSparseRealDoubleInt_MA(self, nilp, prod)
def AM(self, nilp, prod):
return _smg2s.parMatrixSparseRealDoubleInt_AM(self, nilp, prod)
parMatrixSparseRealDoubleInt_swigregister = _smg2s.parMatrixSparseRealDoubleInt_swigregister
parMatrixSparseRealDoubleInt_swigregister(parMatrixSparseRealDoubleInt)
def smg2sRealDoubleInt(probSize, nilp, lbandwidth, spectrum, comm):
return _smg2s.smg2sRealDoubleInt(probSize, nilp, lbandwidth, spectrum, comm)
smg2sRealDoubleInt = _smg2s.smg2sRealDoubleInt
class parMatrixSparseRealDoubleLongInt(_object):
__swig_setmethods__ = {}
__setattr__ = lambda self, name, value: _swig_setattr(self, parMatrixSparseRealDoubleLongInt, name, value)
__swig_getmethods__ = {}
__getattr__ = lambda self, name: _swig_getattr(self, parMatrixSparseRealDoubleLongInt, name)
__repr__ = _swig_repr
__swig_setmethods__["CSR_lloc"] = _smg2s.parMatrixSparseRealDoubleLongInt_CSR_lloc_set
__swig_getmethods__["CSR_lloc"] = _smg2s.parMatrixSparseRealDoubleLongInt_CSR_lloc_get
if _newclass:
CSR_lloc = _swig_property(_smg2s.parMatrixSparseRealDoubleLongInt_CSR_lloc_get, _smg2s.parMatrixSparseRealDoubleLongInt_CSR_lloc_set)
__swig_setmethods__["CSR_gloc"] = _smg2s.parMatrixSparseRealDoubleLongInt_CSR_gloc_set
__swig_getmethods__["CSR_gloc"] = _smg2s.parMatrixSparseRealDoubleLongInt_CSR_gloc_get
if _newclass:
CSR_gloc = _swig_property(_smg2s.parMatrixSparseRealDoubleLongInt_CSR_gloc_get, _smg2s.parMatrixSparseRealDoubleLongInt_CSR_gloc_set)
__swig_setmethods__["CSR_loc"] = _smg2s.parMatrixSparseRealDoubleLongInt_CSR_loc_set
__swig_getmethods__["CSR_loc"] = _smg2s.parMatrixSparseRealDoubleLongInt_CSR_loc_get
if _newclass:
CSR_loc = _swig_property(_smg2s.parMatrixSparseRealDoubleLongInt_CSR_loc_get, _smg2s.parMatrixSparseRealDoubleLongInt_CSR_loc_set)
__swig_setmethods__["dynmat_loc"] = _smg2s.parMatrixSparseRealDoubleLongInt_dynmat_loc_set
__swig_getmethods__["dynmat_loc"] = _smg2s.parMatrixSparseRealDoubleLongInt_dynmat_loc_get
if _newclass:
dynmat_loc = _swig_property(_smg2s.parMatrixSparseRealDoubleLongInt_dynmat_loc_get, _smg2s.parMatrixSparseRealDoubleLongInt_dynmat_loc_set)
def __init__(self, *args):
this = _smg2s.new_parMatrixSparseRealDoubleLongInt(*args)
try:
self.this.append(this)
except __builtin__.Exception:
self.this = this
__swig_destroy__ = _smg2s.delete_parMatrixSparseRealDoubleLongInt
__del__ = lambda self: None
def GetXMap(self):
return _smg2s.parMatrixSparseRealDoubleLongInt_GetXMap(self)
def GetYMap(self):
return _smg2s.parMatrixSparseRealDoubleLongInt_GetYMap(self)
def GetComm(self):
return _smg2s.parMatrixSparseRealDoubleLongInt_GetComm(self)
def GetXLowerBound(self):
return _smg2s.parMatrixSparseRealDoubleLongInt_GetXLowerBound(self)
def GetYLowerBound(self):
return _smg2s.parMatrixSparseRealDoubleLongInt_GetYLowerBound(self)
def GetXUpperBound(self):
return _smg2s.parMatrixSparseRealDoubleLongInt_GetXUpperBound(self)
def GetYUpperBound(self):
return _smg2s.parMatrixSparseRealDoubleLongInt_GetYUpperBound(self)
def GetTrueLocalSize(self, rs, cs):
return _smg2s.parMatrixSparseRealDoubleLongInt_GetTrueLocalSize(self, rs, cs)
def GetLocalSize(self, rs, cs):
return _smg2s.parMatrixSparseRealDoubleLongInt_GetLocalSize(self, rs, cs)
def GetDynMatGLobLoc(self):
return _smg2s.parMatrixSparseRealDoubleLongInt_GetDynMatGLobLoc(self)
def GetDynMatGlobLoc(self):
return _smg2s.parMatrixSparseRealDoubleLongInt_GetDynMatGlobLoc(self)
def GetDynMatLoc(self):
return _smg2s.parMatrixSparseRealDoubleLongInt_GetDynMatLoc(self)
def GetCSRLocLoc(self):
return _smg2s.parMatrixSparseRealDoubleLongInt_GetCSRLocLoc(self)
def GetCSRGlobLoc(self):
return _smg2s.parMatrixSparseRealDoubleLongInt_GetCSRGlobLoc(self)
def AddValueLocal(self, row, col, value):
return _smg2s.parMatrixSparseRealDoubleLongInt_AddValueLocal(self, row, col, value)
def AddValuesLocal(self, nindex, rows, cols, values):
return _smg2s.parMatrixSparseRealDoubleLongInt_AddValuesLocal(self, nindex, rows, cols, values)
def AddValue(self, row, col, value):
return _smg2s.parMatrixSparseRealDoubleLongInt_AddValue(self, row, col, value)
def SetValueLocal(self, row, col, value):
return _smg2s.parMatrixSparseRealDoubleLongInt_SetValueLocal(self, row, col, value)
def SetValuesLocal(self, nindex, rows, cols, values):
return _smg2s.parMatrixSparseRealDoubleLongInt_SetValuesLocal(self, nindex, rows, cols, values)
def SetValue(self, row, col, value):
return _smg2s.parMatrixSparseRealDoubleLongInt_SetValue(self, row, col, value)
def GetLocalValue(self, row, col):
return _smg2s.parMatrixSparseRealDoubleLongInt_GetLocalValue(self, row, col)
def GetValue(self, row, col):
return _smg2s.parMatrixSparseRealDoubleLongInt_GetValue(self, row, col)
def glocPlusLloc(self):
return _smg2s.parMatrixSparseRealDoubleLongInt_glocPlusLloc(self)
def llocToGlocLoc(self):
return _smg2s.parMatrixSparseRealDoubleLongInt_llocToGlocLoc(self)
def MatView(self):
return _smg2s.parMatrixSparseRealDoubleLongInt_MatView(self)
def LOC_MatView(self):
return _smg2s.parMatrixSparseRealDoubleLongInt_LOC_MatView(self)
def Loc_SetValueLocal(self, row, col, value):
return _smg2s.parMatrixSparseRealDoubleLongInt_Loc_SetValueLocal(self, row, col, value)
def Loc_SetValuesLocal(self, nindex, rows, cols, values):
return _smg2s.parMatrixSparseRealDoubleLongInt_Loc_SetValuesLocal(self, nindex, rows, cols, values)
def Loc_SetValue(self, row, col, value):
return _smg2s.parMatrixSparseRealDoubleLongInt_Loc_SetValue(self, row, col, value)
def Loc_GetLocalValue(self, row, col):
return _smg2s.parMatrixSparseRealDoubleLongInt_Loc_GetLocalValue(self, row, col)
def Loc_GetValue(self, row, col):
return _smg2s.parMatrixSparseRealDoubleLongInt_Loc_GetValue(self, row, col)
def SetDiagonal(self, diag):
return _smg2s.parMatrixSparseRealDoubleLongInt_SetDiagonal(self, diag)
def Loc_SetDiagonal(self, diag):
return _smg2s.parMatrixSparseRealDoubleLongInt_Loc_SetDiagonal(self, diag)
def MatScale(self, scale):
return _smg2s.parMatrixSparseRealDoubleLongInt_MatScale(self, scale)
def Loc_MatScale(self, scale):
return _smg2s.parMatrixSparseRealDoubleLongInt_Loc_MatScale(self, scale)
def Loc_MatAXPY(self, X, scale):
return _smg2s.parMatrixSparseRealDoubleLongInt_Loc_MatAXPY(self, X, scale)
def Loc_MatAYPX(self, X, scale):
return _smg2s.parMatrixSparseRealDoubleLongInt_Loc_MatAYPX(self, X, scale)
def ConvertToCSR(self):
return _smg2s.parMatrixSparseRealDoubleLongInt_ConvertToCSR(self)
def Loc_ConvertToCSR(self):
return _smg2s.parMatrixSparseRealDoubleLongInt_Loc_ConvertToCSR(self)
def ZeroEntries(self):
return _smg2s.parMatrixSparseRealDoubleLongInt_ZeroEntries(self)
def Loc_ZeroEntries(self):
return _smg2s.parMatrixSparseRealDoubleLongInt_Loc_ZeroEntries(self)
def MA(self, nilp, prod):
return _smg2s.parMatrixSparseRealDoubleLongInt_MA(self, nilp, prod)
def AM(self, nilp, prod):
return _smg2s.parMatrixSparseRealDoubleLongInt_AM(self, nilp, prod)
parMatrixSparseRealDoubleLongInt_swigregister = _smg2s.parMatrixSparseRealDoubleLongInt_swigregister
parMatrixSparseRealDoubleLongInt_swigregister(parMatrixSparseRealDoubleLongInt)
def smg2sRealDoubleLongInt(probSize, nilp, lbandwidth, spectrum, comm):
return _smg2s.smg2sRealDoubleLongInt(probSize, nilp, lbandwidth, spectrum, comm)
smg2sRealDoubleLongInt = _smg2s.smg2sRealDoubleLongInt
class parMatrixSparseRealSingleInt(_object):
__swig_setmethods__ = {}
__setattr__ = lambda self, name, value: _swig_setattr(self, parMatrixSparseRealSingleInt, name, value)
__swig_getmethods__ = {}
__getattr__ = lambda self, name: _swig_getattr(self, parMatrixSparseRealSingleInt, name)
__repr__ = _swig_repr
__swig_setmethods__["CSR_lloc"] = _smg2s.parMatrixSparseRealSingleInt_CSR_lloc_set
__swig_getmethods__["CSR_lloc"] = _smg2s.parMatrixSparseRealSingleInt_CSR_lloc_get
if _newclass:
CSR_lloc = _swig_property(_smg2s.parMatrixSparseRealSingleInt_CSR_lloc_get, _smg2s.parMatrixSparseRealSingleInt_CSR_lloc_set)
__swig_setmethods__["CSR_gloc"] = _smg2s.parMatrixSparseRealSingleInt_CSR_gloc_set
__swig_getmethods__["CSR_gloc"] = _smg2s.parMatrixSparseRealSingleInt_CSR_gloc_get
if _newclass:
CSR_gloc = _swig_property(_smg2s.parMatrixSparseRealSingleInt_CSR_gloc_get, _smg2s.parMatrixSparseRealSingleInt_CSR_gloc_set)
__swig_setmethods__["CSR_loc"] = _smg2s.parMatrixSparseRealSingleInt_CSR_loc_set
__swig_getmethods__["CSR_loc"] = _smg2s.parMatrixSparseRealSingleInt_CSR_loc_get
if _newclass:
CSR_loc = _swig_property(_smg2s.parMatrixSparseRealSingleInt_CSR_loc_get, _smg2s.parMatrixSparseRealSingleInt_CSR_loc_set)
__swig_setmethods__["dynmat_loc"] = _smg2s.parMatrixSparseRealSingleInt_dynmat_loc_set
__swig_getmethods__["dynmat_loc"] = _smg2s.parMatrixSparseRealSingleInt_dynmat_loc_get
if _newclass:
dynmat_loc = _swig_property(_smg2s.parMatrixSparseRealSingleInt_dynmat_loc_get, _smg2s.parMatrixSparseRealSingleInt_dynmat_loc_set)
def __init__(self, *args):
this = _smg2s.new_parMatrixSparseRealSingleInt(*args)
try:
self.this.append(this)
except __builtin__.Exception:
self.this = this
__swig_destroy__ = _smg2s.delete_parMatrixSparseRealSingleInt
__del__ = lambda self: None
def GetXMap(self):
return _smg2s.parMatrixSparseRealSingleInt_GetXMap(self)
def GetYMap(self):
return _smg2s.parMatrixSparseRealSingleInt_GetYMap(self)
def GetComm(self):
return _smg2s.parMatrixSparseRealSingleInt_GetComm(self)
def GetXLowerBound(self):
return _smg2s.parMatrixSparseRealSingleInt_GetXLowerBound(self)
def GetYLowerBound(self):
return _smg2s.parMatrixSparseRealSingleInt_GetYLowerBound(self)
def GetXUpperBound(self):
return _smg2s.parMatrixSparseRealSingleInt_GetXUpperBound(self)
def GetYUpperBound(self):
return _smg2s.parMatrixSparseRealSingleInt_GetYUpperBound(self)
def GetTrueLocalSize(self, rs, cs):
return _smg2s.parMatrixSparseRealSingleInt_GetTrueLocalSize(self, rs, cs)
def GetLocalSize(self, rs, cs):
return _smg2s.parMatrixSparseRealSingleInt_GetLocalSize(self, rs, cs)
def GetDynMatGLobLoc(self):
return _smg2s.parMatrixSparseRealSingleInt_GetDynMatGLobLoc(self)
def GetDynMatGlobLoc(self):
return _smg2s.parMatrixSparseRealSingleInt_GetDynMatGlobLoc(self)
def GetDynMatLoc(self):
return _smg2s.parMatrixSparseRealSingleInt_GetDynMatLoc(self)
def GetCSRLocLoc(self):
return _smg2s.parMatrixSparseRealSingleInt_GetCSRLocLoc(self)
def GetCSRGlobLoc(self):
return _smg2s.parMatrixSparseRealSingleInt_GetCSRGlobLoc(self)
def AddValueLocal(self, row, col, value):
return _smg2s.parMatrixSparseRealSingleInt_AddValueLocal(self, row, col, value)
def AddValuesLocal(self, nindex, rows, cols, values):
return _smg2s.parMatrixSparseRealSingleInt_AddValuesLocal(self, nindex, rows, cols, values)
def AddValue(self, row, col, value):
return _smg2s.parMatrixSparseRealSingleInt_AddValue(self, row, col, value)
def SetValueLocal(self, row, col, value):
return _smg2s.parMatrixSparseRealSingleInt_SetValueLocal(self, row, col, value)
def SetValuesLocal(self, nindex, rows, cols, values):
return _smg2s.parMatrixSparseRealSingleInt_SetValuesLocal(self, nindex, rows, cols, values)
def SetValue(self, row, col, value):
return _smg2s.parMatrixSparseRealSingleInt_SetValue(self, row, col, value)
def GetLocalValue(self, row, col):
return _smg2s.parMatrixSparseRealSingleInt_GetLocalValue(self, row, col)
def GetValue(self, row, col):
return _smg2s.parMatrixSparseRealSingleInt_GetValue(self, row, col)
def glocPlusLloc(self):
return _smg2s.parMatrixSparseRealSingleInt_glocPlusLloc(self)
def llocToGlocLoc(self):
return _smg2s.parMatrixSparseRealSingleInt_llocToGlocLoc(self)
def MatView(self):
return _smg2s.parMatrixSparseRealSingleInt_MatView(self)
def LOC_MatView(self):
return _smg2s.parMatrixSparseRealSingleInt_LOC_MatView(self)
def Loc_SetValueLocal(self, row, col, value):
return _smg2s.parMatrixSparseRealSingleInt_Loc_SetValueLocal(self, row, col, value)
def Loc_SetValuesLocal(self, nindex, rows, cols, values):
return _smg2s.parMatrixSparseRealSingleInt_Loc_SetValuesLocal(self, nindex, rows, cols, values)
def Loc_SetValue(self, row, col, value):
return _smg2s.parMatrixSparseRealSingleInt_Loc_SetValue(self, row, col, value)
def Loc_GetLocalValue(self, row, col):
return _smg2s.parMatrixSparseRealSingleInt_Loc_GetLocalValue(self, row, col)
def Loc_GetValue(self, row, col):
return _smg2s.parMatrixSparseRealSingleInt_Loc_GetValue(self, row, col)
def SetDiagonal(self, diag):
return _smg2s.parMatrixSparseRealSingleInt_SetDiagonal(self, diag)
def Loc_SetDiagonal(self, diag):
return _smg2s.parMatrixSparseRealSingleInt_Loc_SetDiagonal(self, diag)
def MatScale(self, scale):
return _smg2s.parMatrixSparseRealSingleInt_MatScale(self, scale)
def Loc_MatScale(self, scale):
return _smg2s.parMatrixSparseRealSingleInt_Loc_MatScale(self, scale)
def Loc_MatAXPY(self, X, scale):
return _smg2s.parMatrixSparseRealSingleInt_Loc_MatAXPY(self, X, scale)
def Loc_MatAYPX(self, X, scale):
return _smg2s.parMatrixSparseRealSingleInt_Loc_MatAYPX(self, X, scale)
def ConvertToCSR(self):
return _smg2s.parMatrixSparseRealSingleInt_ConvertToCSR(self)
def Loc_ConvertToCSR(self):
return _smg2s.parMatrixSparseRealSingleInt_Loc_ConvertToCSR(self)
def ZeroEntries(self):
return _smg2s.parMatrixSparseRealSingleInt_ZeroEntries(self)
def Loc_ZeroEntries(self):
return _smg2s.parMatrixSparseRealSingleInt_Loc_ZeroEntries(self)
def MA(self, nilp, prod):
return _smg2s.parMatrixSparseRealSingleInt_MA(self, nilp, prod)
def AM(self, nilp, prod):
return _smg2s.parMatrixSparseRealSingleInt_AM(self, nilp, prod)
parMatrixSparseRealSingleInt_swigregister = _smg2s.parMatrixSparseRealSingleInt_swigregister
parMatrixSparseRealSingleInt_swigregister(parMatrixSparseRealSingleInt)
def smg2sRealSingleInt(probSize, nilp, lbandwidth, spectrum, comm):
return _smg2s.smg2sRealSingleInt(probSize, nilp, lbandwidth, spectrum, comm)
smg2sRealSingleInt = _smg2s.smg2sRealSingleInt
class parMatrixSparseRealSingleLongInt(_object):
__swig_setmethods__ = {}
__setattr__ = lambda self, name, value: _swig_setattr(self, parMatrixSparseRealSingleLongInt, name, value)
__swig_getmethods__ = {}
__getattr__ = lambda self, name: _swig_getattr(self, parMatrixSparseRealSingleLongInt, name)
__repr__ = _swig_repr
__swig_setmethods__["CSR_lloc"] = _smg2s.parMatrixSparseRealSingleLongInt_CSR_lloc_set
__swig_getmethods__["CSR_lloc"] = _smg2s.parMatrixSparseRealSingleLongInt_CSR_lloc_get
if _newclass:
CSR_lloc = _swig_property(_smg2s.parMatrixSparseRealSingleLongInt_CSR_lloc_get, _smg2s.parMatrixSparseRealSingleLongInt_CSR_lloc_set)
__swig_setmethods__["CSR_gloc"] = _smg2s.parMatrixSparseRealSingleLongInt_CSR_gloc_set
__swig_getmethods__["CSR_gloc"] = _smg2s.parMatrixSparseRealSingleLongInt_CSR_gloc_get
if _newclass:
CSR_gloc = _swig_property(_smg2s.parMatrixSparseRealSingleLongInt_CSR_gloc_get, _smg2s.parMatrixSparseRealSingleLongInt_CSR_gloc_set)
__swig_setmethods__["CSR_loc"] = _smg2s.parMatrixSparseRealSingleLongInt_CSR_loc_set
__swig_getmethods__["CSR_loc"] = _smg2s.parMatrixSparseRealSingleLongInt_CSR_loc_get
if _newclass:
CSR_loc = _swig_property(_smg2s.parMatrixSparseRealSingleLongInt_CSR_loc_get, _smg2s.parMatrixSparseRealSingleLongInt_CSR_loc_set)
__swig_setmethods__["dynmat_loc"] = _smg2s.parMatrixSparseRealSingleLongInt_dynmat_loc_set
__swig_getmethods__["dynmat_loc"] = _smg2s.parMatrixSparseRealSingleLongInt_dynmat_loc_get
if _newclass:
dynmat_loc = _swig_property(_smg2s.parMatrixSparseRealSingleLongInt_dynmat_loc_get, _smg2s.parMatrixSparseRealSingleLongInt_dynmat_loc_set)
def __init__(self, *args):
this = _smg2s.new_parMatrixSparseRealSingleLongInt(*args)
try:
self.this.append(this)
except __builtin__.Exception:
self.this = this
__swig_destroy__ = _smg2s.delete_parMatrixSparseRealSingleLongInt
__del__ = lambda self: None
def GetXMap(self):
return _smg2s.parMatrixSparseRealSingleLongInt_GetXMap(self)
def GetYMap(self):
return _smg2s.parMatrixSparseRealSingleLongInt_GetYMap(self)
def GetComm(self):
return _smg2s.parMatrixSparseRealSingleLongInt_GetComm(self)
def GetXLowerBound(self):
return _smg2s.parMatrixSparseRealSingleLongInt_GetXLowerBound(self)
def GetYLowerBound(self):
return _smg2s.parMatrixSparseRealSingleLongInt_GetYLowerBound(self)
def GetXUpperBound(self):
return _smg2s.parMatrixSparseRealSingleLongInt_GetXUpperBound(self)
def GetYUpperBound(self):
return _smg2s.parMatrixSparseRealSingleLongInt_GetYUpperBound(self)
def GetTrueLocalSize(self, rs, cs):
return _smg2s.parMatrixSparseRealSingleLongInt_GetTrueLocalSize(self, rs, cs)
def GetLocalSize(self, rs, cs):
return _smg2s.parMatrixSparseRealSingleLongInt_GetLocalSize(self, rs, cs)
def GetDynMatGLobLoc(self):
return _smg2s.parMatrixSparseRealSingleLongInt_GetDynMatGLobLoc(self)
def GetDynMatGlobLoc(self):
return _smg2s.parMatrixSparseRealSingleLongInt_GetDynMatGlobLoc(self)
def GetDynMatLoc(self):
return _smg2s.parMatrixSparseRealSingleLongInt_GetDynMatLoc(self)
def GetCSRLocLoc(self):
return _smg2s.parMatrixSparseRealSingleLongInt_GetCSRLocLoc(self)
def GetCSRGlobLoc(self):
return _smg2s.parMatrixSparseRealSingleLongInt_GetCSRGlobLoc(self)
def AddValueLocal(self, row, col, value):
return _smg2s.parMatrixSparseRealSingleLongInt_AddValueLocal(self, row, col, value)
def AddValuesLocal(self, nindex, rows, cols, values):
return _smg2s.parMatrixSparseRealSingleLongInt_AddValuesLocal(self, nindex, rows, cols, values)
def AddValue(self, row, col, value):
return _smg2s.parMatrixSparseRealSingleLongInt_AddValue(self, row, col, value)
def SetValueLocal(self, row, col, value):
return _smg2s.parMatrixSparseRealSingleLongInt_SetValueLocal(self, row, col, value)
def SetValuesLocal(self, nindex, rows, cols, values):
return _smg2s.parMatrixSparseRealSingleLongInt_SetValuesLocal(self, nindex, rows, cols, values)
def SetValue(self, row, col, value):
return _smg2s.parMatrixSparseRealSingleLongInt_SetValue(self, row, col, value)
def GetLocalValue(self, row, col):
return _smg2s.parMatrixSparseRealSingleLongInt_GetLocalValue(self, row, col)
def GetValue(self, row, col):
return _smg2s.parMatrixSparseRealSingleLongInt_GetValue(self, row, col)
def glocPlusLloc(self):
return _smg2s.parMatrixSparseRealSingleLongInt_glocPlusLloc(self)
def llocToGlocLoc(self):
return _smg2s.parMatrixSparseRealSingleLongInt_llocToGlocLoc(self)
def MatView(self):
return _smg2s.parMatrixSparseRealSingleLongInt_MatView(self)
def LOC_MatView(self):
return _smg2s.parMatrixSparseRealSingleLongInt_LOC_MatView(self)
def Loc_SetValueLocal(self, row, col, value):
return _smg2s.parMatrixSparseRealSingleLongInt_Loc_SetValueLocal(self, row, col, value)
def Loc_SetValuesLocal(self, nindex, rows, cols, values):
return _smg2s.parMatrixSparseRealSingleLongInt_Loc_SetValuesLocal(self, nindex, rows, cols, values)
def Loc_SetValue(self, row, col, value):
return _smg2s.parMatrixSparseRealSingleLongInt_Loc_SetValue(self, row, col, value)
def Loc_GetLocalValue(self, row, col):
return _smg2s.parMatrixSparseRealSingleLongInt_Loc_GetLocalValue(self, row, col)
def Loc_GetValue(self, row, col):
return _smg2s.parMatrixSparseRealSingleLongInt_Loc_GetValue(self, row, col)
def SetDiagonal(self, diag):
return _smg2s.parMatrixSparseRealSingleLongInt_SetDiagonal(self, diag)
def Loc_SetDiagonal(self, diag):
return _smg2s.parMatrixSparseRealSingleLongInt_Loc_SetDiagonal(self, diag)
def MatScale(self, scale):
return _smg2s.parMatrixSparseRealSingleLongInt_MatScale(self, scale)
def Loc_MatScale(self, scale):
return _smg2s.parMatrixSparseRealSingleLongInt_Loc_MatScale(self, scale)
def Loc_MatAXPY(self, X, scale):
return _smg2s.parMatrixSparseRealSingleLongInt_Loc_MatAXPY(self, X, scale)
def Loc_MatAYPX(self, X, scale):
return _smg2s.parMatrixSparseRealSingleLongInt_Loc_MatAYPX(self, X, scale)
def ConvertToCSR(self):
return _smg2s.parMatrixSparseRealSingleLongInt_ConvertToCSR(self)
def Loc_ConvertToCSR(self):
return _smg2s.parMatrixSparseRealSingleLongInt_Loc_ConvertToCSR(self)
def ZeroEntries(self):
return _smg2s.parMatrixSparseRealSingleLongInt_ZeroEntries(self)
def Loc_ZeroEntries(self):
return _smg2s.parMatrixSparseRealSingleLongInt_Loc_ZeroEntries(self)
def MA(self, nilp, prod):
return _smg2s.parMatrixSparseRealSingleLongInt_MA(self, nilp, prod)
def AM(self, nilp, prod):
return _smg2s.parMatrixSparseRealSingleLongInt_AM(self, nilp, prod)
parMatrixSparseRealSingleLongInt_swigregister = _smg2s.parMatrixSparseRealSingleLongInt_swigregister
parMatrixSparseRealSingleLongInt_swigregister(parMatrixSparseRealSingleLongInt)
def smg2sRealSingleLongInt(probSize, nilp, lbandwidth, spectrum, comm):
return _smg2s.smg2sRealSingleLongInt(probSize, nilp, lbandwidth, spectrum, comm)
smg2sRealSingleLongInt = _smg2s.smg2sRealSingleLongInt
class parMatrixSparseComplexDoubleInt(_object):
__swig_setmethods__ = {}
__setattr__ = lambda self, name, value: _swig_setattr(self, parMatrixSparseComplexDoubleInt, name, value)
__swig_getmethods__ = {}
__getattr__ = lambda self, name: _swig_getattr(self, parMatrixSparseComplexDoubleInt, name)
__repr__ = _swig_repr
__swig_setmethods__["CSR_lloc"] = _smg2s.parMatrixSparseComplexDoubleInt_CSR_lloc_set
__swig_getmethods__["CSR_lloc"] = _smg2s.parMatrixSparseComplexDoubleInt_CSR_lloc_get
if _newclass:
CSR_lloc = _swig_property(_smg2s.parMatrixSparseComplexDoubleInt_CSR_lloc_get, _smg2s.parMatrixSparseComplexDoubleInt_CSR_lloc_set)
__swig_setmethods__["CSR_gloc"] = _smg2s.parMatrixSparseComplexDoubleInt_CSR_gloc_set
__swig_getmethods__["CSR_gloc"] = _smg2s.parMatrixSparseComplexDoubleInt_CSR_gloc_get
if _newclass:
CSR_gloc = _swig_property(_smg2s.parMatrixSparseComplexDoubleInt_CSR_gloc_get, _smg2s.parMatrixSparseComplexDoubleInt_CSR_gloc_set)
__swig_setmethods__["CSR_loc"] = _smg2s.parMatrixSparseComplexDoubleInt_CSR_loc_set
__swig_getmethods__["CSR_loc"] = _smg2s.parMatrixSparseComplexDoubleInt_CSR_loc_get
if _newclass:
CSR_loc = _swig_property(_smg2s.parMatrixSparseComplexDoubleInt_CSR_loc_get, _smg2s.parMatrixSparseComplexDoubleInt_CSR_loc_set)
__swig_setmethods__["dynmat_loc"] = _smg2s.parMatrixSparseComplexDoubleInt_dynmat_loc_set
__swig_getmethods__["dynmat_loc"] = _smg2s.parMatrixSparseComplexDoubleInt_dynmat_loc_get
if _newclass:
dynmat_loc = _swig_property(_smg2s.parMatrixSparseComplexDoubleInt_dynmat_loc_get, _smg2s.parMatrixSparseComplexDoubleInt_dynmat_loc_set)
def __init__(self, *args):
this = _smg2s.new_parMatrixSparseComplexDoubleInt(*args)
try:
self.this.append(this)
except __builtin__.Exception:
self.this = this
__swig_destroy__ = _smg2s.delete_parMatrixSparseComplexDoubleInt
__del__ = lambda self: None
def GetXMap(self):
return _smg2s.parMatrixSparseComplexDoubleInt_GetXMap(self)
def GetYMap(self):
return _smg2s.parMatrixSparseComplexDoubleInt_GetYMap(self)
def GetComm(self):
return _smg2s.parMatrixSparseComplexDoubleInt_GetComm(self)
def GetXLowerBound(self):
return _smg2s.parMatrixSparseComplexDoubleInt_GetXLowerBound(self)
def GetYLowerBound(self):
return _smg2s.parMatrixSparseComplexDoubleInt_GetYLowerBound(self)
def GetXUpperBound(self):
return _smg2s.parMatrixSparseComplexDoubleInt_GetXUpperBound(self)
def GetYUpperBound(self):
return _smg2s.parMatrixSparseComplexDoubleInt_GetYUpperBound(self)
def GetTrueLocalSize(self, rs, cs):
return _smg2s.parMatrixSparseComplexDoubleInt_GetTrueLocalSize(self, rs, cs)
def GetLocalSize(self, rs, cs):
return _smg2s.parMatrixSparseComplexDoubleInt_GetLocalSize(self, rs, cs)
def GetDynMatGLobLoc(self):
return _smg2s.parMatrixSparseComplexDoubleInt_GetDynMatGLobLoc(self)
def GetDynMatGlobLoc(self):
return _smg2s.parMatrixSparseComplexDoubleInt_GetDynMatGlobLoc(self)
def GetDynMatLoc(self):
return _smg2s.parMatrixSparseComplexDoubleInt_GetDynMatLoc(self)
def GetCSRLocLoc(self):
return _smg2s.parMatrixSparseComplexDoubleInt_GetCSRLocLoc(self)
def GetCSRGlobLoc(self):
return _smg2s.parMatrixSparseComplexDoubleInt_GetCSRGlobLoc(self)
def AddValueLocal(self, row, col, value):
return _smg2s.parMatrixSparseComplexDoubleInt_AddValueLocal(self, row, col, value)
def AddValuesLocal(self, nindex, rows, cols, values):
return _smg2s.parMatrixSparseComplexDoubleInt_AddValuesLocal(self, nindex, rows, cols, values)
def AddValue(self, row, col, value):
return _smg2s.parMatrixSparseComplexDoubleInt_AddValue(self, row, col, value)
def SetValueLocal(self, row, col, value):
return _smg2s.parMatrixSparseComplexDoubleInt_SetValueLocal(self, row, col, value)
def SetValuesLocal(self, nindex, rows, cols, values):
return _smg2s.parMatrixSparseComplexDoubleInt_SetValuesLocal(self, nindex, rows, cols, values)
def SetValue(self, row, col, value):
return _smg2s.parMatrixSparseComplexDoubleInt_SetValue(self, row, col, value)
def GetLocalValue(self, row, col):
return _smg2s.parMatrixSparseComplexDoubleInt_GetLocalValue(self, row, col)
def GetValue(self, row, col):
return _smg2s.parMatrixSparseComplexDoubleInt_GetValue(self, row, col)
def glocPlusLloc(self):
return _smg2s.parMatrixSparseComplexDoubleInt_glocPlusLloc(self)
def llocToGlocLoc(self):
return _smg2s.parMatrixSparseComplexDoubleInt_llocToGlocLoc(self)
def MatView(self):
return _smg2s.parMatrixSparseComplexDoubleInt_MatView(self)
def LOC_MatView(self):
return _smg2s.parMatrixSparseComplexDoubleInt_LOC_MatView(self)
def Loc_SetValueLocal(self, row, col, value):
return _smg2s.parMatrixSparseComplexDoubleInt_Loc_SetValueLocal(self, row, col, value)
def Loc_SetValuesLocal(self, nindex, rows, cols, values):
return _smg2s.parMatrixSparseComplexDoubleInt_Loc_SetValuesLocal(self, nindex, rows, cols, values)
def Loc_SetValue(self, row, col, value):
return _smg2s.parMatrixSparseComplexDoubleInt_Loc_SetValue(self, row, col, value)
def Loc_GetLocalValue(self, row, col):
return _smg2s.parMatrixSparseComplexDoubleInt_Loc_GetLocalValue(self, row, col)
def Loc_GetValue(self, row, col):
return _smg2s.parMatrixSparseComplexDoubleInt_Loc_GetValue(self, row, col)
def SetDiagonal(self, diag):
return _smg2s.parMatrixSparseComplexDoubleInt_SetDiagonal(self, diag)
def Loc_SetDiagonal(self, diag):
return _smg2s.parMatrixSparseComplexDoubleInt_Loc_SetDiagonal(self, diag)
def MatScale(self, scale):
return _smg2s.parMatrixSparseComplexDoubleInt_MatScale(self, scale)
def Loc_MatScale(self, scale):
return _smg2s.parMatrixSparseComplexDoubleInt_Loc_MatScale(self, scale)
def Loc_MatAXPY(self, X, scale):
return _smg2s.parMatrixSparseComplexDoubleInt_Loc_MatAXPY(self, X, scale)
def Loc_MatAYPX(self, X, scale):
return _smg2s.parMatrixSparseComplexDoubleInt_Loc_MatAYPX(self, X, scale)
def ConvertToCSR(self):
return _smg2s.parMatrixSparseComplexDoubleInt_ConvertToCSR(self)
def Loc_ConvertToCSR(self):
return _smg2s.parMatrixSparseComplexDoubleInt_Loc_ConvertToCSR(self)
def ZeroEntries(self):
return _smg2s.parMatrixSparseComplexDoubleInt_ZeroEntries(self)
def Loc_ZeroEntries(self):
return _smg2s.parMatrixSparseComplexDoubleInt_Loc_ZeroEntries(self)
def MA(self, nilp, prod):
return _smg2s.parMatrixSparseComplexDoubleInt_MA(self, nilp, prod)
def AM(self, nilp, prod):
return _smg2s.parMatrixSparseComplexDoubleInt_AM(self, nilp, prod)
parMatrixSparseComplexDoubleInt_swigregister = _smg2s.parMatrixSparseComplexDoubleInt_swigregister
parMatrixSparseComplexDoubleInt_swigregister(parMatrixSparseComplexDoubleInt)
def smg2sComplexDoubleInt(probSize, nilp, lbandwidth, spectrum, comm):
return _smg2s.smg2sComplexDoubleInt(probSize, nilp, lbandwidth, spectrum, comm)
smg2sComplexDoubleInt = _smg2s.smg2sComplexDoubleInt
class parMatrixSparseComplexDoubleLongInt(_object):
__swig_setmethods__ = {}
__setattr__ = lambda self, name, value: _swig_setattr(self, parMatrixSparseComplexDoubleLongInt, name, value)
__swig_getmethods__ = {}
__getattr__ = lambda self, name: _swig_getattr(self, parMatrixSparseComplexDoubleLongInt, name)
__repr__ = _swig_repr
__swig_setmethods__["CSR_lloc"] = _smg2s.parMatrixSparseComplexDoubleLongInt_CSR_lloc_set
__swig_getmethods__["CSR_lloc"] = _smg2s.parMatrixSparseComplexDoubleLongInt_CSR_lloc_get
if _newclass:
CSR_lloc = _swig_property(_smg2s.parMatrixSparseComplexDoubleLongInt_CSR_lloc_get, _smg2s.parMatrixSparseComplexDoubleLongInt_CSR_lloc_set)
__swig_setmethods__["CSR_gloc"] = _smg2s.parMatrixSparseComplexDoubleLongInt_CSR_gloc_set
__swig_getmethods__["CSR_gloc"] = _smg2s.parMatrixSparseComplexDoubleLongInt_CSR_gloc_get
if _newclass:
CSR_gloc = _swig_property(_smg2s.parMatrixSparseComplexDoubleLongInt_CSR_gloc_get, _smg2s.parMatrixSparseComplexDoubleLongInt_CSR_gloc_set)
__swig_setmethods__["CSR_loc"] = _smg2s.parMatrixSparseComplexDoubleLongInt_CSR_loc_set
__swig_getmethods__["CSR_loc"] = _smg2s.parMatrixSparseComplexDoubleLongInt_CSR_loc_get
if _newclass:
CSR_loc = _swig_property(_smg2s.parMatrixSparseComplexDoubleLongInt_CSR_loc_get, _smg2s.parMatrixSparseComplexDoubleLongInt_CSR_loc_set)
__swig_setmethods__["dynmat_loc"] = _smg2s.parMatrixSparseComplexDoubleLongInt_dynmat_loc_set
__swig_getmethods__["dynmat_loc"] = _smg2s.parMatrixSparseComplexDoubleLongInt_dynmat_loc_get
if _newclass:
dynmat_loc = _swig_property(_smg2s.parMatrixSparseComplexDoubleLongInt_dynmat_loc_get, _smg2s.parMatrixSparseComplexDoubleLongInt_dynmat_loc_set)
def __init__(self, *args):
this = _smg2s.new_parMatrixSparseComplexDoubleLongInt(*args)
try:
self.this.append(this)
except __builtin__.Exception:
self.this = this
__swig_destroy__ = _smg2s.delete_parMatrixSparseComplexDoubleLongInt
__del__ = lambda self: None
def GetXMap(self):
return _smg2s.parMatrixSparseComplexDoubleLongInt_GetXMap(self)
def GetYMap(self):
return _smg2s.parMatrixSparseComplexDoubleLongInt_GetYMap(self)
def GetComm(self):
return _smg2s.parMatrixSparseComplexDoubleLongInt_GetComm(self)
def GetXLowerBound(self):
return _smg2s.parMatrixSparseComplexDoubleLongInt_GetXLowerBound(self)
def GetYLowerBound(self):
return _smg2s.parMatrixSparseComplexDoubleLongInt_GetYLowerBound(self)
def GetXUpperBound(self):
return _smg2s.parMatrixSparseComplexDoubleLongInt_GetXUpperBound(self)
def GetYUpperBound(self):
return _smg2s.parMatrixSparseComplexDoubleLongInt_GetYUpperBound(self)
def GetTrueLocalSize(self, rs, cs):
return _smg2s.parMatrixSparseComplexDoubleLongInt_GetTrueLocalSize(self, rs, cs)
def GetLocalSize(self, rs, cs):
return _smg2s.parMatrixSparseComplexDoubleLongInt_GetLocalSize(self, rs, cs)
def GetDynMatGLobLoc(self):
return _smg2s.parMatrixSparseComplexDoubleLongInt_GetDynMatGLobLoc(self)
def GetDynMatGlobLoc(self):
return _smg2s.parMatrixSparseComplexDoubleLongInt_GetDynMatGlobLoc(self)
def GetDynMatLoc(self):
return _smg2s.parMatrixSparseComplexDoubleLongInt_GetDynMatLoc(self)
def GetCSRLocLoc(self):
return _smg2s.parMatrixSparseComplexDoubleLongInt_GetCSRLocLoc(self)
def GetCSRGlobLoc(self):
return _smg2s.parMatrixSparseComplexDoubleLongInt_GetCSRGlobLoc(self)
def AddValueLocal(self, row, col, value):
return _smg2s.parMatrixSparseComplexDoubleLongInt_AddValueLocal(self, row, col, value)
def AddValuesLocal(self, nindex, rows, cols, values):
return _smg2s.parMatrixSparseComplexDoubleLongInt_AddValuesLocal(self, nindex, rows, cols, values)
def AddValue(self, row, col, value):
return _smg2s.parMatrixSparseComplexDoubleLongInt_AddValue(self, row, col, value)
def SetValueLocal(self, row, col, value):
return _smg2s.parMatrixSparseComplexDoubleLongInt_SetValueLocal(self, row, col, value)
def SetValuesLocal(self, nindex, rows, cols, values):
return _smg2s.parMatrixSparseComplexDoubleLongInt_SetValuesLocal(self, nindex, rows, cols, values)
def SetValue(self, row, col, value):
return _smg2s.parMatrixSparseComplexDoubleLongInt_SetValue(self, row, col, value)
def GetLocalValue(self, row, col):
return _smg2s.parMatrixSparseComplexDoubleLongInt_GetLocalValue(self, row, col)
def GetValue(self, row, col):
return _smg2s.parMatrixSparseComplexDoubleLongInt_GetValue(self, row, col)
def glocPlusLloc(self):
return _smg2s.parMatrixSparseComplexDoubleLongInt_glocPlusLloc(self)
def llocToGlocLoc(self):
return _smg2s.parMatrixSparseComplexDoubleLongInt_llocToGlocLoc(self)
def MatView(self):
return _smg2s.parMatrixSparseComplexDoubleLongInt_MatView(self)
def LOC_MatView(self):
return _smg2s.parMatrixSparseComplexDoubleLongInt_LOC_MatView(self)
def Loc_SetValueLocal(self, row, col, value):
return _smg2s.parMatrixSparseComplexDoubleLongInt_Loc_SetValueLocal(self, row, col, value)
def Loc_SetValuesLocal(self, nindex, rows, cols, values):
return _smg2s.parMatrixSparseComplexDoubleLongInt_Loc_SetValuesLocal(self, nindex, rows, cols, values)
def Loc_SetValue(self, row, col, value):
return _smg2s.parMatrixSparseComplexDoubleLongInt_Loc_SetValue(self, row, col, value)
def Loc_GetLocalValue(self, row, col):
return _smg2s.parMatrixSparseComplexDoubleLongInt_Loc_GetLocalValue(self, row, col)
def Loc_GetValue(self, row, col):
return _smg2s.parMatrixSparseComplexDoubleLongInt_Loc_GetValue(self, row, col)
def SetDiagonal(self, diag):
return _smg2s.parMatrixSparseComplexDoubleLongInt_SetDiagonal(self, diag)
def Loc_SetDiagonal(self, diag):
return _smg2s.parMatrixSparseComplexDoubleLongInt_Loc_SetDiagonal(self, diag)
def MatScale(self, scale):
return _smg2s.parMatrixSparseComplexDoubleLongInt_MatScale(self, scale)
def Loc_MatScale(self, scale):
return _smg2s.parMatrixSparseComplexDoubleLongInt_Loc_MatScale(self, scale)
def Loc_MatAXPY(self, X, scale):
return _smg2s.parMatrixSparseComplexDoubleLongInt_Loc_MatAXPY(self, X, scale)
def Loc_MatAYPX(self, X, scale):
return _smg2s.parMatrixSparseComplexDoubleLongInt_Loc_MatAYPX(self, X, scale)
def ConvertToCSR(self):
return _smg2s.parMatrixSparseComplexDoubleLongInt_ConvertToCSR(self)
def Loc_ConvertToCSR(self):
return _smg2s.parMatrixSparseComplexDoubleLongInt_Loc_ConvertToCSR(self)
def ZeroEntries(self):
return _smg2s.parMatrixSparseComplexDoubleLongInt_ZeroEntries(self)
def Loc_ZeroEntries(self):
return _smg2s.parMatrixSparseComplexDoubleLongInt_Loc_ZeroEntries(self)
def MA(self, nilp, prod):
return _smg2s.parMatrixSparseComplexDoubleLongInt_MA(self, nilp, prod)
def AM(self, nilp, prod):
return _smg2s.parMatrixSparseComplexDoubleLongInt_AM(self, nilp, prod)
parMatrixSparseComplexDoubleLongInt_swigregister = _smg2s.parMatrixSparseComplexDoubleLongInt_swigregister
parMatrixSparseComplexDoubleLongInt_swigregister(parMatrixSparseComplexDoubleLongInt)
def smg2sComplexDoubleLongInt(probSize, nilp, lbandwidth, spectrum, comm):
return _smg2s.smg2sComplexDoubleLongInt(probSize, nilp, lbandwidth, spectrum, comm)
smg2sComplexDoubleLongInt = _smg2s.smg2sComplexDoubleLongInt
class parMatrixSparseComplexSingleInt(_object):
__swig_setmethods__ = {}
__setattr__ = lambda self, name, value: _swig_setattr(self, parMatrixSparseComplexSingleInt, name, value)
__swig_getmethods__ = {}
__getattr__ = lambda self, name: _swig_getattr(self, parMatrixSparseComplexSingleInt, name)
__repr__ = _swig_repr
__swig_setmethods__["CSR_lloc"] = _smg2s.parMatrixSparseComplexSingleInt_CSR_lloc_set
__swig_getmethods__["CSR_lloc"] = _smg2s.parMatrixSparseComplexSingleInt_CSR_lloc_get
if _newclass:
CSR_lloc = _swig_property(_smg2s.parMatrixSparseComplexSingleInt_CSR_lloc_get, _smg2s.parMatrixSparseComplexSingleInt_CSR_lloc_set)
__swig_setmethods__["CSR_gloc"] = _smg2s.parMatrixSparseComplexSingleInt_CSR_gloc_set
__swig_getmethods__["CSR_gloc"] = _smg2s.parMatrixSparseComplexSingleInt_CSR_gloc_get
if _newclass:
CSR_gloc = _swig_property(_smg2s.parMatrixSparseComplexSingleInt_CSR_gloc_get, _smg2s.parMatrixSparseComplexSingleInt_CSR_gloc_set)
__swig_setmethods__["CSR_loc"] = _smg2s.parMatrixSparseComplexSingleInt_CSR_loc_set
__swig_getmethods__["CSR_loc"] = _smg2s.parMatrixSparseComplexSingleInt_CSR_loc_get
if _newclass:
CSR_loc = _swig_property(_smg2s.parMatrixSparseComplexSingleInt_CSR_loc_get, _smg2s.parMatrixSparseComplexSingleInt_CSR_loc_set)
__swig_setmethods__["dynmat_loc"] = _smg2s.parMatrixSparseComplexSingleInt_dynmat_loc_set
__swig_getmethods__["dynmat_loc"] = _smg2s.parMatrixSparseComplexSingleInt_dynmat_loc_get
if _newclass:
dynmat_loc = _swig_property(_smg2s.parMatrixSparseComplexSingleInt_dynmat_loc_get, _smg2s.parMatrixSparseComplexSingleInt_dynmat_loc_set)
def __init__(self, *args):
this = _smg2s.new_parMatrixSparseComplexSingleInt(*args)
try:
self.this.append(this)
except __builtin__.Exception:
self.this = this
__swig_destroy__ = _smg2s.delete_parMatrixSparseComplexSingleInt
__del__ = lambda self: None
def GetXMap(self):
return _smg2s.parMatrixSparseComplexSingleInt_GetXMap(self)
def GetYMap(self):
return _smg2s.parMatrixSparseComplexSingleInt_GetYMap(self)
def GetComm(self):
return _smg2s.parMatrixSparseComplexSingleInt_GetComm(self)
def GetXLowerBound(self):
return _smg2s.parMatrixSparseComplexSingleInt_GetXLowerBound(self)
def GetYLowerBound(self):
return _smg2s.parMatrixSparseComplexSingleInt_GetYLowerBound(self)
def GetXUpperBound(self):
return _smg2s.parMatrixSparseComplexSingleInt_GetXUpperBound(self)
def GetYUpperBound(self):
return _smg2s.parMatrixSparseComplexSingleInt_GetYUpperBound(self)
def GetTrueLocalSize(self, rs, cs):
return _smg2s.parMatrixSparseComplexSingleInt_GetTrueLocalSize(self, rs, cs)
def GetLocalSize(self, rs, cs):
return _smg2s.parMatrixSparseComplexSingleInt_GetLocalSize(self, rs, cs)
def GetDynMatGLobLoc(self):
return _smg2s.parMatrixSparseComplexSingleInt_GetDynMatGLobLoc(self)
def GetDynMatGlobLoc(self):
return _smg2s.parMatrixSparseComplexSingleInt_GetDynMatGlobLoc(self)
def GetDynMatLoc(self):
return _smg2s.parMatrixSparseComplexSingleInt_GetDynMatLoc(self)
def GetCSRLocLoc(self):
return _smg2s.parMatrixSparseComplexSingleInt_GetCSRLocLoc(self)
def GetCSRGlobLoc(self):
return _smg2s.parMatrixSparseComplexSingleInt_GetCSRGlobLoc(self)
def AddValueLocal(self, row, col, value):
return _smg2s.parMatrixSparseComplexSingleInt_AddValueLocal(self, row, col, value)
def AddValuesLocal(self, nindex, rows, cols, values):
return _smg2s.parMatrixSparseComplexSingleInt_AddValuesLocal(self, nindex, rows, cols, values)
def AddValue(self, row, col, value):
return _smg2s.parMatrixSparseComplexSingleInt_AddValue(self, row, col, value)
def SetValueLocal(self, row, col, value):
return _smg2s.parMatrixSparseComplexSingleInt_SetValueLocal(self, row, col, value)
def SetValuesLocal(self, nindex, rows, cols, values):
return _smg2s.parMatrixSparseComplexSingleInt_SetValuesLocal(self, nindex, rows, cols, values)
def SetValue(self, row, col, value):
return _smg2s.parMatrixSparseComplexSingleInt_SetValue(self, row, col, value)
def GetLocalValue(self, row, col):
return _smg2s.parMatrixSparseComplexSingleInt_GetLocalValue(self, row, col)
def GetValue(self, row, col):
return _smg2s.parMatrixSparseComplexSingleInt_GetValue(self, row, col)
def glocPlusLloc(self):
return _smg2s.parMatrixSparseComplexSingleInt_glocPlusLloc(self)
def llocToGlocLoc(self):
return _smg2s.parMatrixSparseComplexSingleInt_llocToGlocLoc(self)
def MatView(self):
return _smg2s.parMatrixSparseComplexSingleInt_MatView(self)
def LOC_MatView(self):
return _smg2s.parMatrixSparseComplexSingleInt_LOC_MatView(self)
def Loc_SetValueLocal(self, row, col, value):
return _smg2s.parMatrixSparseComplexSingleInt_Loc_SetValueLocal(self, row, col, value)
def Loc_SetValuesLocal(self, nindex, rows, cols, values):
return _smg2s.parMatrixSparseComplexSingleInt_Loc_SetValuesLocal(self, nindex, rows, cols, values)
def Loc_SetValue(self, row, col, value):
return _smg2s.parMatrixSparseComplexSingleInt_Loc_SetValue(self, row, col, value)
def Loc_GetLocalValue(self, row, col):
return _smg2s.parMatrixSparseComplexSingleInt_Loc_GetLocalValue(self, row, col)
def Loc_GetValue(self, row, col):
return _smg2s.parMatrixSparseComplexSingleInt_Loc_GetValue(self, row, col)
def SetDiagonal(self, diag):
return _smg2s.parMatrixSparseComplexSingleInt_SetDiagonal(self, diag)
def Loc_SetDiagonal(self, diag):
return _smg2s.parMatrixSparseComplexSingleInt_Loc_SetDiagonal(self, diag)
def MatScale(self, scale):
return _smg2s.parMatrixSparseComplexSingleInt_MatScale(self, scale)
def Loc_MatScale(self, scale):
return _smg2s.parMatrixSparseComplexSingleInt_Loc_MatScale(self, scale)
def Loc_MatAXPY(self, X, scale):
return _smg2s.parMatrixSparseComplexSingleInt_Loc_MatAXPY(self, X, scale)
def Loc_MatAYPX(self, X, scale):
return _smg2s.parMatrixSparseComplexSingleInt_Loc_MatAYPX(self, X, scale)
def ConvertToCSR(self):
return _smg2s.parMatrixSparseComplexSingleInt_ConvertToCSR(self)
def Loc_ConvertToCSR(self):
return _smg2s.parMatrixSparseComplexSingleInt_Loc_ConvertToCSR(self)
def ZeroEntries(self):
return _smg2s.parMatrixSparseComplexSingleInt_ZeroEntries(self)
def Loc_ZeroEntries(self):
return _smg2s.parMatrixSparseComplexSingleInt_Loc_ZeroEntries(self)
def MA(self, nilp, prod):
return _smg2s.parMatrixSparseComplexSingleInt_MA(self, nilp, prod)
def AM(self, nilp, prod):
return _smg2s.parMatrixSparseComplexSingleInt_AM(self, nilp, prod)
parMatrixSparseComplexSingleInt_swigregister = _smg2s.parMatrixSparseComplexSingleInt_swigregister
parMatrixSparseComplexSingleInt_swigregister(parMatrixSparseComplexSingleInt)
def smg2sComplexSingleInt(probSize, nilp, lbandwidth, spectrum, comm):
return _smg2s.smg2sComplexSingleInt(probSize, nilp, lbandwidth, spectrum, comm)
smg2sComplexSingleInt = _smg2s.smg2sComplexSingleInt
class parMatrixSparseComplexSingleLongInt(_object):
__swig_setmethods__ = {}
__setattr__ = lambda self, name, value: _swig_setattr(self, parMatrixSparseComplexSingleLongInt, name, value)
__swig_getmethods__ = {}
__getattr__ = lambda self, name: _swig_getattr(self, parMatrixSparseComplexSingleLongInt, name)
__repr__ = _swig_repr
__swig_setmethods__["CSR_lloc"] = _smg2s.parMatrixSparseComplexSingleLongInt_CSR_lloc_set
__swig_getmethods__["CSR_lloc"] = _smg2s.parMatrixSparseComplexSingleLongInt_CSR_lloc_get
if _newclass:
CSR_lloc = _swig_property(_smg2s.parMatrixSparseComplexSingleLongInt_CSR_lloc_get, _smg2s.parMatrixSparseComplexSingleLongInt_CSR_lloc_set)
__swig_setmethods__["CSR_gloc"] = _smg2s.parMatrixSparseComplexSingleLongInt_CSR_gloc_set
__swig_getmethods__["CSR_gloc"] = _smg2s.parMatrixSparseComplexSingleLongInt_CSR_gloc_get
if _newclass:
CSR_gloc = _swig_property(_smg2s.parMatrixSparseComplexSingleLongInt_CSR_gloc_get, _smg2s.parMatrixSparseComplexSingleLongInt_CSR_gloc_set)
__swig_setmethods__["CSR_loc"] = _smg2s.parMatrixSparseComplexSingleLongInt_CSR_loc_set
__swig_getmethods__["CSR_loc"] = _smg2s.parMatrixSparseComplexSingleLongInt_CSR_loc_get
if _newclass:
CSR_loc = _swig_property(_smg2s.parMatrixSparseComplexSingleLongInt_CSR_loc_get, _smg2s.parMatrixSparseComplexSingleLongInt_CSR_loc_set)
__swig_setmethods__["dynmat_loc"] = _smg2s.parMatrixSparseComplexSingleLongInt_dynmat_loc_set
__swig_getmethods__["dynmat_loc"] = _smg2s.parMatrixSparseComplexSingleLongInt_dynmat_loc_get
if _newclass:
dynmat_loc = _swig_property(_smg2s.parMatrixSparseComplexSingleLongInt_dynmat_loc_get, _smg2s.parMatrixSparseComplexSingleLongInt_dynmat_loc_set)
def __init__(self, *args):
this = _smg2s.new_parMatrixSparseComplexSingleLongInt(*args)
try:
self.this.append(this)
except __builtin__.Exception:
self.this = this
__swig_destroy__ = _smg2s.delete_parMatrixSparseComplexSingleLongInt
__del__ = lambda self: None
def GetXMap(self):
return _smg2s.parMatrixSparseComplexSingleLongInt_GetXMap(self)
def GetYMap(self):
return _smg2s.parMatrixSparseComplexSingleLongInt_GetYMap(self)
def GetComm(self):
return _smg2s.parMatrixSparseComplexSingleLongInt_GetComm(self)
def GetXLowerBound(self):
return _smg2s.parMatrixSparseComplexSingleLongInt_GetXLowerBound(self)
def GetYLowerBound(self):
return _smg2s.parMatrixSparseComplexSingleLongInt_GetYLowerBound(self)
def GetXUpperBound(self):
return _smg2s.parMatrixSparseComplexSingleLongInt_GetXUpperBound(self)
def GetYUpperBound(self):
return _smg2s.parMatrixSparseComplexSingleLongInt_GetYUpperBound(self)
def GetTrueLocalSize(self, rs, cs):
return _smg2s.parMatrixSparseComplexSingleLongInt_GetTrueLocalSize(self, rs, cs)
def GetLocalSize(self, rs, cs):
return _smg2s.parMatrixSparseComplexSingleLongInt_GetLocalSize(self, rs, cs)
def GetDynMatGLobLoc(self):
return _smg2s.parMatrixSparseComplexSingleLongInt_GetDynMatGLobLoc(self)
def GetDynMatGlobLoc(self):
return _smg2s.parMatrixSparseComplexSingleLongInt_GetDynMatGlobLoc(self)
def GetDynMatLoc(self):
return _smg2s.parMatrixSparseComplexSingleLongInt_GetDynMatLoc(self)
def GetCSRLocLoc(self):
return _smg2s.parMatrixSparseComplexSingleLongInt_GetCSRLocLoc(self)
def GetCSRGlobLoc(self):
return _smg2s.parMatrixSparseComplexSingleLongInt_GetCSRGlobLoc(self)
def AddValueLocal(self, row, col, value):
return _smg2s.parMatrixSparseComplexSingleLongInt_AddValueLocal(self, row, col, value)
def AddValuesLocal(self, nindex, rows, cols, values):
return _smg2s.parMatrixSparseComplexSingleLongInt_AddValuesLocal(self, nindex, rows, cols, values)
def AddValue(self, row, col, value):
return _smg2s.parMatrixSparseComplexSingleLongInt_AddValue(self, row, col, value)
def SetValueLocal(self, row, col, value):
return _smg2s.parMatrixSparseComplexSingleLongInt_SetValueLocal(self, row, col, value)
def SetValuesLocal(self, nindex, rows, cols, values):
return _smg2s.parMatrixSparseComplexSingleLongInt_SetValuesLocal(self, nindex, rows, cols, values)
def SetValue(self, row, col, value):
return _smg2s.parMatrixSparseComplexSingleLongInt_SetValue(self, row, col, value)
def GetLocalValue(self, row, col):
return _smg2s.parMatrixSparseComplexSingleLongInt_GetLocalValue(self, row, col)
def GetValue(self, row, col):
return _smg2s.parMatrixSparseComplexSingleLongInt_GetValue(self, row, col)
def glocPlusLloc(self):
return _smg2s.parMatrixSparseComplexSingleLongInt_glocPlusLloc(self)
def llocToGlocLoc(self):
return _smg2s.parMatrixSparseComplexSingleLongInt_llocToGlocLoc(self)
def MatView(self):
return _smg2s.parMatrixSparseComplexSingleLongInt_MatView(self)
def LOC_MatView(self):
return _smg2s.parMatrixSparseComplexSingleLongInt_LOC_MatView(self)
def Loc_SetValueLocal(self, row, col, value):
return _smg2s.parMatrixSparseComplexSingleLongInt_Loc_SetValueLocal(self, row, col, value)
def Loc_SetValuesLocal(self, nindex, rows, cols, values):
return _smg2s.parMatrixSparseComplexSingleLongInt_Loc_SetValuesLocal(self, nindex, rows, cols, values)
def Loc_SetValue(self, row, col, value):
return _smg2s.parMatrixSparseComplexSingleLongInt_Loc_SetValue(self, row, col, value)
def Loc_GetLocalValue(self, row, col):
return _smg2s.parMatrixSparseComplexSingleLongInt_Loc_GetLocalValue(self, row, col)
def Loc_GetValue(self, row, col):
return _smg2s.parMatrixSparseComplexSingleLongInt_Loc_GetValue(self, row, col)
def SetDiagonal(self, diag):
return _smg2s.parMatrixSparseComplexSingleLongInt_SetDiagonal(self, diag)
def Loc_SetDiagonal(self, diag):
return _smg2s.parMatrixSparseComplexSingleLongInt_Loc_SetDiagonal(self, diag)
def MatScale(self, scale):
return _smg2s.parMatrixSparseComplexSingleLongInt_MatScale(self, scale)
def Loc_MatScale(self, scale):
return _smg2s.parMatrixSparseComplexSingleLongInt_Loc_MatScale(self, scale)
def Loc_MatAXPY(self, X, scale):
return _smg2s.parMatrixSparseComplexSingleLongInt_Loc_MatAXPY(self, X, scale)
def Loc_MatAYPX(self, X, scale):
return _smg2s.parMatrixSparseComplexSingleLongInt_Loc_MatAYPX(self, X, scale)
def ConvertToCSR(self):
return _smg2s.parMatrixSparseComplexSingleLongInt_ConvertToCSR(self)
def Loc_ConvertToCSR(self):
return _smg2s.parMatrixSparseComplexSingleLongInt_Loc_ConvertToCSR(self)
def ZeroEntries(self):
return _smg2s.parMatrixSparseComplexSingleLongInt_ZeroEntries(self)
def Loc_ZeroEntries(self):
return _smg2s.parMatrixSparseComplexSingleLongInt_Loc_ZeroEntries(self)
def MA(self, nilp, prod):
return _smg2s.parMatrixSparseComplexSingleLongInt_MA(self, nilp, prod)
def AM(self, nilp, prod):
return _smg2s.parMatrixSparseComplexSingleLongInt_AM(self, nilp, prod)
parMatrixSparseComplexSingleLongInt_swigregister = _smg2s.parMatrixSparseComplexSingleLongInt_swigregister
parMatrixSparseComplexSingleLongInt_swigregister(parMatrixSparseComplexSingleLongInt)
def smg2sComplexSingleLongInt(probSize, nilp, lbandwidth, spectrum, comm):
return _smg2s.smg2sComplexSingleLongInt(probSize, nilp, lbandwidth, spectrum, comm)
smg2sComplexSingleLongInt = _smg2s.smg2sComplexSingleLongInt
# This file is compatible with both classic and new-style classes.
| 42.926093
| 153
| 0.771099
| 6,426
| 66,793
| 7.573607
| 0.036415
| 0.084532
| 0.050855
| 0.029588
| 0.812074
| 0.733624
| 0.614367
| 0.486398
| 0.383209
| 0.31006
| 0
| 0.011199
| 0.157771
| 66,793
| 1,555
| 154
| 42.953698
| 0.853933
| 0.004417
| 0
| 0.436077
| 1
| 0
| 0.012002
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.341506
| false
| 0.001751
| 0.019264
| 0.328371
| 0.768827
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 5
|
7866925166859dc7a69b09e9e27d0bf72413316f
| 1,040
|
py
|
Python
|
Bag/testbag.py
|
yeyuning1/DataStructures
|
c302db3b14ee131e7090a8cc088519b863880336
|
[
"MIT"
] | null | null | null |
Bag/testbag.py
|
yeyuning1/DataStructures
|
c302db3b14ee131e7090a8cc088519b863880336
|
[
"MIT"
] | null | null | null |
Bag/testbag.py
|
yeyuning1/DataStructures
|
c302db3b14ee131e7090a8cc088519b863880336
|
[
"MIT"
] | null | null | null |
"""
File: testbag.py
Author: Yeyuning
A tester program for bag implementations.
"""
from Bag.arraybag import ArrayBag
from Bag.linkedbag import LinkedBag
# def test(bagType):
# lyst = [2013, 61, 1973]
# print('The list of items added is:', lyst)
# b1 = bagType(lyst)
# print("Expect 3:", len(b1))
# print("Expect the bag's string:", b1)
# print("Expect True:", 2013 in b1)
# print("Expect False:", 2012 in b1)
# print("Expect the items on separate lines:")
# for item in b1:
# print(item)
# b1.clear()
# print('Expect {}:', b1)
# b1.add(25)
# b1.remove(25)
# print("Expect {}:", b1)
# b1 = bagType(lyst)
# b2 = bagType(b1)
# print("Expect True:", b1 == b2)
# print("Expect False:", b1 is b2)
# print("Expect two of each item:", b1 + b2)
# for item in lyst:
# b1.remove(item)
# print("Expect {}:", b1)
# print("Expect crash with KeyError:")
# b2.remove(99)
# if __name__ == '__main__':
# test(ArrayBag)
# test(LinkedBag)
| 25.365854
| 50
| 0.575962
| 140
| 1,040
| 4.221429
| 0.407143
| 0.22335
| 0.13198
| 0.054146
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.062096
| 0.256731
| 1,040
| 40
| 51
| 26
| 0.702458
| 0.857692
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
7878b2bddcace81614a809f86447f1bedc047ddf
| 92
|
py
|
Python
|
pji/entry/__init__.py
|
HansBug/pji
|
449d171cea0c03f4c302da886988f36f70e34ee6
|
[
"Apache-2.0"
] | null | null | null |
pji/entry/__init__.py
|
HansBug/pji
|
449d171cea0c03f4c302da886988f36f70e34ee6
|
[
"Apache-2.0"
] | null | null | null |
pji/entry/__init__.py
|
HansBug/pji
|
449d171cea0c03f4c302da886988f36f70e34ee6
|
[
"Apache-2.0"
] | null | null | null |
from .cli import cli
from .runner import DispatchRunner
from .script import load_pji_script
| 23
| 35
| 0.836957
| 14
| 92
| 5.357143
| 0.571429
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.130435
| 92
| 3
| 36
| 30.666667
| 0.9375
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
78ad4b986a8ab80a87cd7b6fae6377801b600a11
| 29
|
py
|
Python
|
test_functions/kafka_function.py
|
vudung45/ProtoK
|
ca0a84c46bcd02cf50f1e8565a00ae602a10b3c7
|
[
"MIT"
] | 1
|
2021-07-15T11:29:56.000Z
|
2021-07-15T11:29:56.000Z
|
test_functions/kafka_function.py
|
vudung45/ProtoK
|
ca0a84c46bcd02cf50f1e8565a00ae602a10b3c7
|
[
"MIT"
] | null | null | null |
test_functions/kafka_function.py
|
vudung45/ProtoK
|
ca0a84c46bcd02cf50f1e8565a00ae602a10b3c7
|
[
"MIT"
] | null | null | null |
def kafka(msg):
print(msg)
| 7.25
| 15
| 0.655172
| 5
| 29
| 3.8
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.172414
| 29
| 4
| 16
| 7.25
| 0.791667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0
| 0
| 0
| 0.5
| 0.5
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
78b3b7b20fc77d21a6acfb8879b55256c9895bc0
| 101
|
py
|
Python
|
data.py
|
alexhong121/py_pt
|
78f11f2a2fed54154017371a97de563a8fffcd81
|
[
"MIT"
] | null | null | null |
data.py
|
alexhong121/py_pt
|
78f11f2a2fed54154017371a97de563a8fffcd81
|
[
"MIT"
] | null | null | null |
data.py
|
alexhong121/py_pt
|
78f11f2a2fed54154017371a97de563a8fffcd81
|
[
"MIT"
] | null | null | null |
# 檢查變數的型態是否正確
isinstance(7,int)
print(isinstance(7,int)) # True
a=7
print(type(a)) # <class 'int'>
| 14.428571
| 31
| 0.673267
| 16
| 101
| 4.25
| 0.5625
| 0.323529
| 0.411765
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.034091
| 0.128713
| 101
| 7
| 32
| 14.428571
| 0.738636
| 0.306931
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.5
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
78bd0b2e66f0e85648681b291bc8a89574b81f25
| 187
|
py
|
Python
|
app/admin.py
|
alanwu4321/Submission_Platform
|
daf45a14b97ac7e86d4d3ab63153713fd019f11c
|
[
"MIT"
] | null | null | null |
app/admin.py
|
alanwu4321/Submission_Platform
|
daf45a14b97ac7e86d4d3ab63153713fd019f11c
|
[
"MIT"
] | null | null | null |
app/admin.py
|
alanwu4321/Submission_Platform
|
daf45a14b97ac7e86d4d3ab63153713fd019f11c
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from app.models import User,Admin,UserFile
# Register your models here.
admin.site.register(User)
admin.site.register(Admin)
admin.site.register(UserFile)
| 31.166667
| 42
| 0.823529
| 28
| 187
| 5.5
| 0.464286
| 0.175325
| 0.331169
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.080214
| 187
| 6
| 43
| 31.166667
| 0.895349
| 0.139037
| 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 | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
78c30ded833df096d4b427f36eaa87d10cc3bfa0
| 242
|
py
|
Python
|
frictionless/checks/__init__.py
|
kant/frictionless-py
|
09cc98e1966d6f97f4eecb47757f45f8a946c5e7
|
[
"MIT"
] | null | null | null |
frictionless/checks/__init__.py
|
kant/frictionless-py
|
09cc98e1966d6f97f4eecb47757f45f8a946c5e7
|
[
"MIT"
] | null | null | null |
frictionless/checks/__init__.py
|
kant/frictionless-py
|
09cc98e1966d6f97f4eecb47757f45f8a946c5e7
|
[
"MIT"
] | null | null | null |
from .baseline import BaselineCheck
from .checksum import ChecksumCheck
from .heuristic import DuplicateRowCheck, DeviatedValueCheck, TruncatedValueCheck
from .regulation import BlacklistedValueCheck, SequentialValueCheck, RowConstraintCheck
| 48.4
| 87
| 0.884298
| 20
| 242
| 10.7
| 0.7
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.082645
| 242
| 4
| 88
| 60.5
| 0.963964
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
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| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
153292a4a8a88ea30635e34be38a7e56a8a80956
| 7,208
|
py
|
Python
|
blseg/backbone/resnet.py
|
linbo0518/LLSeg
|
38b6715f2b7be80ac77d8eaa17f73db3f7b01c75
|
[
"MIT"
] | 40
|
2019-04-22T14:14:52.000Z
|
2022-01-14T10:18:21.000Z
|
blseg/backbone/resnet.py
|
linbo0518/LLSeg
|
38b6715f2b7be80ac77d8eaa17f73db3f7b01c75
|
[
"MIT"
] | 2
|
2021-06-02T13:55:31.000Z
|
2021-07-27T05:41:47.000Z
|
blseg/backbone/resnet.py
|
linbo0518/LLSeg
|
38b6715f2b7be80ac77d8eaa17f73db3f7b01c75
|
[
"MIT"
] | 3
|
2019-07-28T09:57:51.000Z
|
2020-09-29T07:39:10.000Z
|
import torch
from torch import nn
from .utils import conv3x3
from .base import BackboneBaseModule
__all__ = [
"ResNet34",
"ResNet50S",
]
def _add_stage(block, in_ch, out_ch, stride, use_se, repeat_time):
assert repeat_time > 0 and isinstance(repeat_time, int)
layers = [block(in_ch, out_ch, stride, use_se=use_se)]
for _ in range(repeat_time - 1):
layers.append(block(out_ch, out_ch, 1, use_se=use_se))
return nn.Sequential(*layers)
class BasicBlock(nn.Module):
def __init__(self, in_ch, out_ch, stride, expansion=1, use_se=False):
assert out_ch % expansion == 0
mid_ch = int(out_ch / expansion)
super(BasicBlock, self).__init__()
self.use_se = use_se
self.do_downsample = not (in_ch == out_ch and stride == 1)
self.conv1 = conv3x3(in_ch, mid_ch, stride=stride)
self.bn1 = nn.BatchNorm2d(mid_ch)
self.conv2 = conv3x3(mid_ch, out_ch, stride=1)
self.bn2 = nn.BatchNorm2d(out_ch)
self.bn2.last_bn = True
self.relu = nn.ReLU(inplace=True)
if self.do_downsample:
self.residual = nn.Sequential(
nn.Conv2d(in_ch, out_ch, 1, stride, bias=False),
nn.BatchNorm2d(out_ch),
)
if self.use_se:
self.se = nn.Sequential(
nn.AdaptiveAvgPool2d((1, 1)),
nn.Conv2d(out_ch, out_ch // 16, 1, bias=False),
nn.ReLU(inplace=True),
nn.Conv2d(out_ch // 16, out_ch, 1, bias=False),
nn.Sigmoid(),
)
def forward(self, x):
residual = x
x = self.conv1(x)
x = self.bn1(x)
x = self.relu(x)
x = self.conv2(x)
x = self.bn2(x)
if self.use_se:
attention = self.se(x)
x *= attention
if self.do_downsample:
residual = self.residual(residual)
x += residual
return self.relu(x)
class ResidualBlock(nn.Module):
def __init__(self, in_ch, out_ch, stride, expansion=4, use_se=False):
assert out_ch % expansion == 0
mid_ch = int(out_ch / expansion)
super(ResidualBlock, self).__init__()
self.use_se = use_se
self.do_downsample = not (in_ch == out_ch and stride == 1)
self.conv1 = nn.Conv2d(in_ch, mid_ch, 1, bias=False)
self.bn1 = nn.BatchNorm2d(mid_ch)
self.conv2 = conv3x3(mid_ch, mid_ch, stride)
self.bn2 = nn.BatchNorm2d(mid_ch)
self.conv3 = nn.Conv2d(mid_ch, out_ch, 1, bias=False)
self.bn3 = nn.BatchNorm2d(out_ch)
self.bn3.last_bn = True
self.relu = nn.ReLU(inplace=True)
if self.do_downsample:
self.residual = nn.Sequential(
nn.AvgPool2d(stride, stride, ceil_mode=True),
nn.Conv2d(in_ch, out_ch, 1, bias=False),
nn.BatchNorm2d(out_ch),
)
if self.use_se:
self.se = nn.Sequential(
nn.AdaptiveAvgPool2d((1, 1)),
nn.Conv2d(out_ch, out_ch // 16, 1, bias=False),
nn.ReLU(inplace=True),
nn.Conv2d(out_ch // 16, out_ch, 1, bias=False),
nn.Sigmoid(),
)
def forward(self, x):
residual = x
x = self.conv1(x)
x = self.bn1(x)
x = self.relu(x)
x = self.conv2(x)
x = self.bn2(x)
x = self.relu(x)
x = self.conv3(x)
x = self.bn3(x)
if self.use_se:
attention = self.se(x)
x *= attention
if self.do_downsample:
residual = self.residual(residual)
x += residual
return self.relu(x)
class ResNet34(BackboneBaseModule):
def __init__(self, use_se=False):
super(ResNet34, self).__init__()
self.channels = [64, 64, 128, 256, 512]
self.strides = [2, 4, 8, 16, 32]
self.stage0 = nn.Sequential(
nn.Conv2d(3, self.channels[0], 7, stride=2, padding=3, bias=False),
nn.BatchNorm2d(self.channels[0]),
nn.ReLU(inplace=True),
)
self.stage1 = nn.Sequential(nn.MaxPool2d(3, stride=2, padding=1))
for layer in _add_stage(BasicBlock, self.channels[0], self.channels[1],
1, use_se, 3):
self.stage1.add_module(str(len(self.stage1)), layer)
self.stage2 = _add_stage(BasicBlock, self.channels[1],
self.channels[2], 2, use_se, 4)
self.stage3 = _add_stage(BasicBlock, self.channels[2],
self.channels[3], 2, use_se, 6)
self.stage4 = _add_stage(BasicBlock, self.channels[3],
self.channels[4], 2, use_se, 3)
self._init_params()
def forward(self, x):
x = self.stage0(x) # 64, 1/2
x = self.stage1(x) # 64, 1/4
x = self.stage2(x) # 128, 1/8
x = self.stage3(x) # 256, 1/16
x = self.stage4(x) # 512, 1/32
return x
def _change_downsample(self, params):
self.stage3[0].conv1.stride = (params[0], params[0])
self.stage3[0].residual[0].stride = params[0]
self.stage4[0].conv1.stride = (params[1], params[1])
self.stage4[0].residual[0].stride = params[1]
class ResNet50S(BackboneBaseModule):
def __init__(self, use_se=False):
super(ResNet50S, self).__init__()
self.channels = [64, 256, 512, 1024, 2048]
self.strides = [2, 4, 8, 16, 32]
self.stage0 = nn.Sequential(
conv3x3(3, 32, 2),
nn.BatchNorm2d(32),
nn.ReLU(inplace=True),
conv3x3(32, 32),
nn.BatchNorm2d(32),
nn.ReLU(inplace=True),
conv3x3(32, self.channels[0]),
nn.BatchNorm2d(self.channels[0]),
nn.ReLU(inplace=True),
)
self.stage1 = nn.Sequential(nn.MaxPool2d(3, stride=2, padding=1))
for layer in _add_stage(ResidualBlock, self.channels[0],
self.channels[1], 1, use_se, 3):
self.stage1.add_module(str(len(self.stage1)), layer)
self.stage2 = _add_stage(ResidualBlock, self.channels[1],
self.channels[2], 2, use_se, 4)
self.stage3 = _add_stage(ResidualBlock, self.channels[2],
self.channels[3], 2, use_se, 6)
self.stage4 = _add_stage(ResidualBlock, self.channels[3],
self.channels[4], 2, use_se, 3)
self._init_params()
def forward(self, x):
x = self.stage0(x) # 64, 1/2
x = self.stage1(x) # 256, 1/4
x = self.stage2(x) # 512, 1/8
x = self.stage3(x) # 1024, 1/16
x = self.stage4(x) # 2048, 1/32
return x
def _change_downsample(self, params):
self.stage3[0].conv2.stride = (params[0], params[0])
self.stage3[0].residual[0].kernel_size = params[0]
self.stage3[0].residual[0].stride = params[0]
self.stage4[0].conv2.stride = (params[1], params[1])
self.stage4[0].residual[0].kernel_size = params[1]
self.stage4[0].residual[0].stride = params[1]
| 35.683168
| 79
| 0.54939
| 971
| 7,208
| 3.91967
| 0.105046
| 0.036784
| 0.023647
| 0.018918
| 0.828429
| 0.771151
| 0.738833
| 0.725959
| 0.6897
| 0.668156
| 0
| 0.066667
| 0.319506
| 7,208
| 201
| 80
| 35.860697
| 0.709276
| 0.012764
| 0
| 0.614943
| 0
| 0
| 0.002393
| 0
| 0
| 0
| 0
| 0
| 0.017241
| 1
| 0.063218
| false
| 0
| 0.022989
| 0
| 0.137931
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
153300f99e7af47597a5718315278775fa25acbe
| 64
|
py
|
Python
|
setup.py
|
betoesquivel/PyData29-DataAnalyticsWithAWSLambda
|
318d1f595e4079544159a0f4802277dc5b25cb47
|
[
"MIT"
] | 4
|
2016-12-06T20:22:28.000Z
|
2018-05-04T09:51:45.000Z
|
setup.py
|
betoesquivel/PyData29-DataAnalyticsWithAWSLambda
|
318d1f595e4079544159a0f4802277dc5b25cb47
|
[
"MIT"
] | null | null | null |
setup.py
|
betoesquivel/PyData29-DataAnalyticsWithAWSLambda
|
318d1f595e4079544159a0f4802277dc5b25cb47
|
[
"MIT"
] | 1
|
2021-11-05T22:17:01.000Z
|
2021-11-05T22:17:01.000Z
|
#!/usr/bin/env python
import sys
sys.path = ['lib/'] + sys.path
| 16
| 30
| 0.640625
| 11
| 64
| 3.727273
| 0.727273
| 0.341463
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.140625
| 64
| 3
| 31
| 21.333333
| 0.745455
| 0.3125
| 0
| 0
| 0
| 0
| 0.093023
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
153c5a92885b746b060d7efec75186cdd76b342c
| 191
|
py
|
Python
|
src/src/tensortools/dataset.py
|
ychnlgy/LipoWithGradients
|
4fe5228a3dae8bf5d457eef6191ba29314421f6b
|
[
"MIT"
] | 1
|
2021-08-19T14:28:45.000Z
|
2021-08-19T14:28:45.000Z
|
src/src/tensortools/dataset.py
|
ychnlgy/LipoWithGradients
|
4fe5228a3dae8bf5d457eef6191ba29314421f6b
|
[
"MIT"
] | null | null | null |
src/src/tensortools/dataset.py
|
ychnlgy/LipoWithGradients
|
4fe5228a3dae8bf5d457eef6191ba29314421f6b
|
[
"MIT"
] | 1
|
2022-03-11T07:20:06.000Z
|
2022-03-11T07:20:06.000Z
|
import torch.utils
def create_loader(tensors, **kwargs):
dataset = torch.utils.data.TensorDataset(*tensors)
loader = torch.utils.data.DataLoader(dataset, **kwargs)
return loader
| 27.285714
| 59
| 0.73822
| 23
| 191
| 6.086957
| 0.565217
| 0.214286
| 0.2
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.141361
| 191
| 6
| 60
| 31.833333
| 0.853659
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.2
| 0
| 0.6
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 5
|
157f0119cc32c7479dcaa1bf73091cbff4ad0c19
| 149
|
py
|
Python
|
main_server/__init__.py
|
yehan-xiao/SUCS
|
4110a9d858c9e484d35c08198d951c6ba734460f
|
[
"MIT"
] | null | null | null |
main_server/__init__.py
|
yehan-xiao/SUCS
|
4110a9d858c9e484d35c08198d951c6ba734460f
|
[
"MIT"
] | null | null | null |
main_server/__init__.py
|
yehan-xiao/SUCS
|
4110a9d858c9e484d35c08198d951c6ba734460f
|
[
"MIT"
] | null | null | null |
#Written by Shitao Tang
# --------------------------------------------------------
import logging.config
logging.config.fileConfig("logging.config")
| 29.8
| 58
| 0.496644
| 12
| 149
| 6.166667
| 0.666667
| 0.527027
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.060403
| 149
| 4
| 59
| 37.25
| 0.528571
| 0.530201
| 0
| 0
| 0
| 0
| 0.205882
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
ec8a928b68d92d2f7dcc179f2b1ab2b3f9085dbb
| 170
|
py
|
Python
|
tests/parameterize_test.py
|
PhamTDuc/HelloPackage
|
78b8fa00f932ba97f8afdf639ac4a66234e196dd
|
[
"MIT"
] | null | null | null |
tests/parameterize_test.py
|
PhamTDuc/HelloPackage
|
78b8fa00f932ba97f8afdf639ac4a66234e196dd
|
[
"MIT"
] | null | null | null |
tests/parameterize_test.py
|
PhamTDuc/HelloPackage
|
78b8fa00f932ba97f8afdf639ac4a66234e196dd
|
[
"MIT"
] | null | null | null |
import pytest
@pytest.mark.parametrize("val1, val2, result", ((5, 5, 10), (3, 5, 9)))
def test_addition(val1, val2, result):
assert val1 + val2 == result, "Failed"
| 24.285714
| 71
| 0.647059
| 25
| 170
| 4.36
| 0.64
| 0.220183
| 0.385321
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.091549
| 0.164706
| 170
| 6
| 72
| 28.333333
| 0.676056
| 0
| 0
| 0
| 0
| 0
| 0.141176
| 0
| 0
| 0
| 0
| 0
| 0.25
| 1
| 0.25
| false
| 0
| 0.25
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
ec91cc1a5c4a42ce8dd22e3076ca65aca87d1b09
| 289
|
py
|
Python
|
docker/python/django/testapp/bar/views.py
|
felixbarny/apm-integration-testing
|
b0cef3414173aa3e5ec8100d1e2ec2b0d810f504
|
[
"Apache-2.0"
] | 52
|
2018-06-14T02:51:10.000Z
|
2022-02-08T14:18:52.000Z
|
docker/python/django/testapp/bar/views.py
|
felixbarny/apm-integration-testing
|
b0cef3414173aa3e5ec8100d1e2ec2b0d810f504
|
[
"Apache-2.0"
] | 902
|
2018-05-25T15:42:22.000Z
|
2022-03-31T16:12:35.000Z
|
docker/python/django/testapp/bar/views.py
|
felixbarny/apm-integration-testing
|
b0cef3414173aa3e5ec8100d1e2ec2b0d810f504
|
[
"Apache-2.0"
] | 62
|
2018-05-25T12:42:58.000Z
|
2022-02-23T09:05:49.000Z
|
from django.http import HttpResponse
import logging
import elasticapm
logger = logging.getLogger('mysite')
def show(request):
return HttpResponse(bar())
@elasticapm.capture_span()
def bar():
extra()
return "bar"
@elasticapm.capture_span()
def extra():
return "extra"
| 14.45
| 36
| 0.716263
| 34
| 289
| 6.029412
| 0.529412
| 0.126829
| 0.195122
| 0.234146
| 0.263415
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.16609
| 289
| 19
| 37
| 15.210526
| 0.850622
| 0
| 0
| 0.153846
| 0
| 0
| 0.048443
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.230769
| false
| 0
| 0.230769
| 0.153846
| 0.692308
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
ecb717ddf9643f637a0e89b5b2e731f30dc38ae8
| 107
|
py
|
Python
|
str3.py
|
Kantheesh/Learning-Python
|
d2dc9f1b9f652e6a6d84028e86a1daf77551eb5f
|
[
"MIT"
] | null | null | null |
str3.py
|
Kantheesh/Learning-Python
|
d2dc9f1b9f652e6a6d84028e86a1daf77551eb5f
|
[
"MIT"
] | null | null | null |
str3.py
|
Kantheesh/Learning-Python
|
d2dc9f1b9f652e6a6d84028e86a1daf77551eb5f
|
[
"MIT"
] | null | null | null |
inp = "AjaY Kumar"
out = inp.swapcase()
print(out)
inp = "AjaY kumAR"
out = inp.title()
print(out)
| 13.375
| 21
| 0.607477
| 16
| 107
| 4.0625
| 0.4375
| 0.276923
| 0.369231
| 0.461538
| 0.553846
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.224299
| 107
| 8
| 22
| 13.375
| 0.783133
| 0
| 0
| 0.333333
| 0
| 0
| 0.19802
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.333333
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
ecbbc14b94ecde51bc73e82c975e7dbda34c951e
| 78
|
py
|
Python
|
myfirst2021/__init__.py
|
roan2008/myfirst2021
|
e3a82225a8ff625729da572cee04e2942d45fb8f
|
[
"MIT"
] | null | null | null |
myfirst2021/__init__.py
|
roan2008/myfirst2021
|
e3a82225a8ff625729da572cee04e2942d45fb8f
|
[
"MIT"
] | null | null | null |
myfirst2021/__init__.py
|
roan2008/myfirst2021
|
e3a82225a8ff625729da572cee04e2942d45fb8f
|
[
"MIT"
] | null | null | null |
# __init__.py
from myfirst2021.studentclass import Student,Specialstudent
| 19.5
| 60
| 0.820513
| 8
| 78
| 7.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.058824
| 0.128205
| 78
| 3
| 61
| 26
| 0.823529
| 0.141026
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
ecca78355354d397e24c37e08841c5095a57bc0f
| 3,231
|
py
|
Python
|
tests/test_output.py
|
jhosoume/pymfe
|
b454f8a5470ebd4dbbeb1a7e5570443dd65fdf9a
|
[
"MIT"
] | null | null | null |
tests/test_output.py
|
jhosoume/pymfe
|
b454f8a5470ebd4dbbeb1a7e5570443dd65fdf9a
|
[
"MIT"
] | null | null | null |
tests/test_output.py
|
jhosoume/pymfe
|
b454f8a5470ebd4dbbeb1a7e5570443dd65fdf9a
|
[
"MIT"
] | null | null | null |
"""Test module for MFE class output details."""
import pytest
import sklearn.tree
import pymfe._internal as _internal
from pymfe.mfe import MFE
from tests.utils import load_xy
GNAME = "mfe-output-details"
class TestOutput:
"""TestClass dedicated to test MFE output details."""
def test_output_lengths_1(self):
X, y = load_xy(0)
res = MFE().fit(X=X.values, y=y.values).extract()
vals, names = res
assert len(vals) == len(names)
@pytest.mark.parametrize("dt_id, measure_time", [
(0, "total"),
(0, "total_summ"),
(0, "avg"),
(0, "avg_summ"),
(2, "total"),
(2, "total_summ"),
(2, "avg"),
(2, "avg_summ"),
])
def test_output_lengths_2(self, dt_id, measure_time):
X, y = load_xy(dt_id)
res = MFE(measure_time=measure_time).fit(
X=X.values, y=y.values).extract()
vals, names, time = res
assert len(vals) == len(names) == len(time)
def test_output_lengths_3(self):
X, y = load_xy(0)
res = MFE(summary=None).fit(X=X.values, y=y.values).extract()
vals, names = res
assert len(vals) == len(names)
@pytest.mark.parametrize("dt_id, measure_time", [
(0, "total"),
(0, "total_summ"),
(0, "avg"),
(0, "avg_summ"),
(2, "total"),
(2, "total_summ"),
(2, "avg"),
(2, "avg_summ"),
])
def test_output_lengths_4(self, dt_id, measure_time):
X, y = load_xy(dt_id)
res = MFE(
summary=None, measure_time=measure_time).fit(
X=X.values, y=y.values).extract()
vals, names, time = res
assert len(vals) == len(names) == len(time)
def test_verbosity_2(self, capsys):
X, y = load_xy(0)
MFE().fit(X=X.values, y=y.values).extract(verbose=0)
captured = capsys.readouterr().out
assert not captured
@pytest.mark.parametrize("verbosity, msg_expected", [
(0, False),
(1, True),
(2, True),
])
def test_verbosity_3(self, verbosity, msg_expected, capsys):
X, y = load_xy(0)
MFE().fit(X=X.values, y=y.values).extract(verbose=verbosity)
captured = capsys.readouterr().out
assert (not msg_expected) or captured
@pytest.mark.parametrize("verbosity, msg_expected", [
(0, False),
(1, True),
])
def test_verbosity_with_confidence(self, verbosity, msg_expected, capsys):
X, y = load_xy(2)
MFE().fit(X.values, y.values).extract_with_confidence(verbose=verbosity)
captured = capsys.readouterr().out
assert ((not msg_expected) and (not captured)) or (msg_expected and captured)
@pytest.mark.parametrize("verbosity, msg_expected", [
(0, False),
(1, True),
])
def test_verbosity_from_model(self, verbosity, msg_expected, capsys):
X, y = load_xy(2)
model = sklearn.tree.DecisionTreeClassifier().fit(X.values, y.values)
MFE().extract_from_model(model, verbose=verbosity)
captured = capsys.readouterr().out
assert ((not msg_expected) and (not captured)) or (msg_expected and captured)
| 28.59292
| 85
| 0.581863
| 424
| 3,231
| 4.268868
| 0.165094
| 0.066851
| 0.026519
| 0.035359
| 0.766851
| 0.748066
| 0.728177
| 0.728177
| 0.70884
| 0.693923
| 0
| 0.015306
| 0.272052
| 3,231
| 112
| 86
| 28.848214
| 0.754252
| 0.027546
| 0
| 0.666667
| 0
| 0
| 0.07314
| 0
| 0
| 0
| 0
| 0
| 0.095238
| 1
| 0.095238
| false
| 0
| 0.059524
| 0
| 0.166667
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
eceb4701691e5840fbba24688faf47e59f51470c
| 65
|
py
|
Python
|
graphite_feeder/handler/event/appliance/sound/__init__.py
|
majamassarini/automate-graphite-feeder
|
0f17f99bbdaab86e10e0b7d424d055ff44fc4ca0
|
[
"MIT"
] | null | null | null |
graphite_feeder/handler/event/appliance/sound/__init__.py
|
majamassarini/automate-graphite-feeder
|
0f17f99bbdaab86e10e0b7d424d055ff44fc4ca0
|
[
"MIT"
] | null | null | null |
graphite_feeder/handler/event/appliance/sound/__init__.py
|
majamassarini/automate-graphite-feeder
|
0f17f99bbdaab86e10e0b7d424d055ff44fc4ca0
|
[
"MIT"
] | null | null | null |
from graphite_feeder.handler.event.appliance.sound import player
| 32.5
| 64
| 0.876923
| 9
| 65
| 6.222222
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.061538
| 65
| 1
| 65
| 65
| 0.918033
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
bf031927f694b8c064e8a7f2a449722095468391
| 624
|
py
|
Python
|
rainbow.py
|
Mizzlr/architect
|
0edede4a07d0d8ad8976098705480b23382306bc
|
[
"MIT"
] | null | null | null |
rainbow.py
|
Mizzlr/architect
|
0edede4a07d0d8ad8976098705480b23382306bc
|
[
"MIT"
] | null | null | null |
rainbow.py
|
Mizzlr/architect
|
0edede4a07d0d8ad8976098705480b23382306bc
|
[
"MIT"
] | null | null | null |
import colorama
def stringify(obj):
if not isinstance(obj, str):
obj = str(obj)
return obj
def red(obj):
return colorama.Fore.RED + stringify(obj) + "\033[39m"
def cyan(obj):
return colorama.Fore.CYAN + stringify(obj) + "\033[39m"
def green(obj):
return colorama.Fore.GREEN + stringify(obj) + "\033[39m"
def yellow(obj):
return colorama.Fore.YELLOW + stringify(obj) + "\033[39m"
def magenta(obj):
return colorama.Fore.MAGENTA + stringify(obj) + "\033[39m"
def white(obj):
return colorama.Fore.WHITE + stringify(obj) + "\033[39m"
def pink(obj):
return magenta(obj)
| 17.333333
| 62
| 0.650641
| 87
| 624
| 4.666667
| 0.229885
| 0.17734
| 0.251232
| 0.310345
| 0.310345
| 0
| 0
| 0
| 0
| 0
| 0
| 0.06012
| 0.200321
| 624
| 35
| 63
| 17.828571
| 0.753507
| 0
| 0
| 0
| 0
| 0
| 0.076923
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.421053
| false
| 0
| 0.052632
| 0.368421
| 0.894737
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
bf06cfda750aba0e7c5ef121aee70cd1a696ccc5
| 15,124
|
py
|
Python
|
src/mindsync/api_test.py
|
mindsync-ai/mindsync-api-python
|
62ad96078c0e167279abe040852fcf22dab496ec
|
[
"Apache-2.0"
] | null | null | null |
src/mindsync/api_test.py
|
mindsync-ai/mindsync-api-python
|
62ad96078c0e167279abe040852fcf22dab496ec
|
[
"Apache-2.0"
] | null | null | null |
src/mindsync/api_test.py
|
mindsync-ai/mindsync-api-python
|
62ad96078c0e167279abe040852fcf22dab496ec
|
[
"Apache-2.0"
] | null | null | null |
import pytest
from unittest.mock import patch, AsyncMock, create_autospec, MagicMock
from mindsync.api import AsyncApi, MindsyncApiError, DEFAULT_BASE_URL
from aiohttp import ClientResponse, ClientConnectionError, FormData
from io import IOBase
API_KEY = 'an-api-key'
USER_ID = 'an-user-id'
RESPONSE_RV = dict(result=dict(first_name='Elvis', last_name='Presley'), whatever='whatever')
ERROR_RESPONSE_RV = dict(error=dict(code=400, name='StatusError', message='Something wrong happens'), result=None, whatever='whatever')
RIG_ID = 'a-rig-id'
RENT_ID = 'a-rent-id'
API_VERSION = '1.0'
PROXY_URL = 'http://localhost:8080'
SOME_FN = 'filename.py'
CODE_ID = 'code-id'
RENT_ID = 'rent-id'
UUID = 'uuid'
@pytest.fixture
def api_key():
return API_KEY
@pytest.fixture
def sut(api_key):
return AsyncApi(api_key)
@pytest.fixture
def raise_sut(api_key):
return AsyncApi(api_key, raise_for_error=True)
@pytest.fixture
def resp_mock():
mock = create_autospec(spec=ClientResponse, spec_set=True, instance=True)
mock.json.return_value = RESPONSE_RV
return mock
@pytest.fixture
def err_resp_mock():
mock = create_autospec(spec=ClientResponse, spec_set=True, instance=True)
mock.json.return_value = ERROR_RESPONSE_RV
return mock
@pytest.fixture
def open_mock():
with patch('builtins.open') as mock:
yield mock
class FormDataMatcher(FormData):
def __eq__(self, other):
return self._fields == other._fields
@pytest.fixture
def form_data(open_mock):
data = FormDataMatcher()
data.add_field('file', open_mock.return_value, content_type='application/octet-stream')
data.add_field('isPrivate', 'false')
return data
@pytest.fixture
def aiohttp_request_mock(resp_mock):
with patch('aiohttp.request') as mock:
mock.return_value.__aenter__.return_value = resp_mock
yield mock
@pytest.fixture
def err_aiohttp_request_mock(err_resp_mock):
with patch('aiohttp.request') as mock:
mock.return_value.__aenter__.return_value = err_resp_mock
yield mock
@pytest.mark.asyncio
@pytest.mark.parametrize('user_id, url, kwargs, expected_result',
[(None, f'{DEFAULT_BASE_URL}/api/1.0/users/client/profile', dict(), RESPONSE_RV['result']),
(USER_ID, f'{DEFAULT_BASE_URL}/api/1.0/users/profile/{USER_ID}', dict(meta=None), RESPONSE_RV)])
async def test_profile_must_do_proper_http_request(sut, user_id, url, kwargs, expected_result, api_key, aiohttp_request_mock):
result = await sut.profile(user_id, **kwargs)
assert expected_result == result
aiohttp_request_mock.assert_called_with(method='GET', url=url, proxy=None,
headers={'api-key': api_key}, raise_for_status=False)
@pytest.mark.asyncio
async def test_profile_must_raise_if_request_fails(sut, aiohttp_request_mock):
aiohttp_request_mock.side_effect = ClientConnectionError
with pytest.raises(MindsyncApiError):
await sut.profile()
@pytest.mark.asyncio
async def test_profile_must_raise_if_result_is_malformed(sut, resp_mock, aiohttp_request_mock):
resp_mock.json.return_value = dict()
with pytest.raises(MindsyncApiError):
await sut.profile()
@pytest.mark.asyncio
@pytest.mark.parametrize('args, expected_args', [(dict(first_name='Jim', last_name='Carrey', phone='1234567'),
dict(lastName='Carrey', firstName='Jim', phone='1234567'))])
async def test_set_profile_must_do_proper_http_request(sut, args, expected_args, api_key,
aiohttp_request_mock, resp_mock):
resp_mock.json.return_value = dict(result='OK')
result = await sut.set_profile(**args)
assert 'OK' == result
aiohttp_request_mock.assert_called_with(method='PUT',
url=f'{DEFAULT_BASE_URL}/api/1.0/users/client/profile',
json=expected_args, proxy=None,
headers={'api-key': api_key}, raise_for_status=False)
# RIGS
@pytest.mark.asyncio
@pytest.mark.parametrize('args, expected_url', [(dict(my=True), f'{DEFAULT_BASE_URL}/api/{API_VERSION}/rigs/my'),
(dict(my=False), f'{DEFAULT_BASE_URL}/api/{API_VERSION}/rigs')])
async def test_rigs_list_must_do_proper_http_request(sut, args, expected_url, api_key, aiohttp_request_mock):
result = await sut.rigs_list(**args)
assert RESPONSE_RV['result'] == result
aiohttp_request_mock.assert_called_with(method='GET', url=expected_url, proxy=None,
headers={'api-key': api_key}, raise_for_status=False)
@pytest.mark.asyncio
async def test_rigs_info_must_do_proper_http_request(sut, api_key, aiohttp_request_mock):
result = await sut.rig_info(rig_id=RIG_ID)
assert RESPONSE_RV['result'] == result
aiohttp_request_mock.assert_called_with(method='GET', url=f'{DEFAULT_BASE_URL}/api/{API_VERSION}/rigs/{RIG_ID}/state', proxy=None,
headers={'api-key': api_key}, raise_for_status=False)
@pytest.mark.asyncio
async def test_rig_price_must_do_proper_http_request(sut, api_key, aiohttp_request_mock):
result = await sut.rig_price(rig_id=RIG_ID)
assert RESPONSE_RV['result'] == result
aiohttp_request_mock.assert_called_with(method='GET', url=f'{DEFAULT_BASE_URL}/api/{API_VERSION}/rigs/{RIG_ID}/price', proxy=None,
headers={'api-key': api_key}, raise_for_status=False)
@pytest.mark.asyncio
async def test_rigs_info_must_raise_on_error_if_raise_for_error_set(raise_sut, api_key, err_aiohttp_request_mock):
rv = ERROR_RESPONSE_RV
with pytest.raises(MindsyncApiError) as exc_info:
await raise_sut.rig_info(rig_id=RIG_ID)
exc = exc_info.value
assert exc.args[0] == rv['error']['code']
assert exc.args[1] == rv['error']['name']
assert exc.args[2] == rv['error']['message']
assert exc.args[3] == rv
@pytest.mark.asyncio
@pytest.mark.parametrize('args, expected_args, expected_result', [
(dict(rig_id=RIG_ID, enable=True, power_cost=0.25, meta=None), dict(isEnable=True, powerCost=0.25), RESPONSE_RV),
(dict(rig_id=RIG_ID, enable=True, power_cost=0.25), dict(isEnable=True, powerCost=0.25), RESPONSE_RV['result']),
])
async def test_set_rig_must_do_proper_http_request(sut, args, expected_args, expected_result, api_key,
aiohttp_request_mock, resp_mock):
result = await sut.set_rig(**args)
assert expected_result == result
aiohttp_request_mock.assert_called_with(method='PUT',
url=f'{DEFAULT_BASE_URL}/api/{API_VERSION}/rigs/{RIG_ID}',
json=expected_args, proxy=None,
headers={'api-key': api_key}, raise_for_status=False)
# RENTS
@pytest.mark.asyncio
@pytest.mark.parametrize('args, expected_args', [(dict(rig_id=RIG_ID, tariff_name='demo'),
dict(rigHash=RIG_ID, tariffName='demo'))])
async def test_start_rent_must_do_proper_http_request(sut, args, expected_args, api_key,
aiohttp_request_mock, resp_mock):
resp_mock.json.return_value = dict(result='OK')
result = await sut.start_rent(**args)
assert 'OK' == result
aiohttp_request_mock.assert_called_with(method='POST',
url=f'{DEFAULT_BASE_URL}/api/{API_VERSION}/rents/start',
json=expected_args, proxy=None,
headers={'api-key': api_key}, raise_for_status=False)
@pytest.mark.asyncio
async def test_start_rent_must_raise_on_error_if_raise_for_error_set(raise_sut, api_key, err_aiohttp_request_mock):
rv = ERROR_RESPONSE_RV
args = dict(rig_id=RIG_ID, tariff_name='demo')
with pytest.raises(MindsyncApiError) as exc_info:
rv = await raise_sut.start_rent(**args)
exc = exc_info.value
assert exc.args[0] == rv['error']['code']
assert exc.args[1] == rv['error']['name']
assert exc.args[2] == rv['error']['message']
assert exc.args[3] == rv
@pytest.mark.asyncio
@pytest.mark.parametrize('args, expected_args, expected_result', [(dict(rent_id=RENT_ID, meta=None), dict(hash=RENT_ID), RESPONSE_RV),
(dict(rent_id=RENT_ID), dict(hash=RENT_ID), RESPONSE_RV['result'])])
async def test_stop_rent_must_do_proper_http_request(sut, args, expected_args, expected_result, api_key,
aiohttp_request_mock, resp_mock):
result = await sut.stop_rent(**args)
assert expected_result == result
aiohttp_request_mock.assert_called_with(method='POST',
url=f'{DEFAULT_BASE_URL}/api/{API_VERSION}/rents/stop',
json=expected_args, proxy=None,
headers={'api-key': api_key}, raise_for_status=False)
@pytest.mark.asyncio
async def test_rent_state_must_do_proper_http_request(sut, api_key, aiohttp_request_mock, resp_mock):
resp_mock.json.return_value = dict(result='OK')
result = await sut.rent_state(uuid=UUID)
assert 'OK' == result
aiohttp_request_mock.assert_called_with(method='GET', url=f'{DEFAULT_BASE_URL}/api/{API_VERSION}/rents/{UUID}', proxy=None,
headers={'api-key': api_key}, raise_for_status=False)
@pytest.mark.asyncio
async def test_rent_states_must_do_proper_http_request(sut, api_key, aiohttp_request_mock, resp_mock):
resp_mock.json.return_value = dict(result='OK')
result = await sut.rent_states(uuid=UUID)
assert 'OK' == result
aiohttp_request_mock.assert_called_with(method='GET', url=f'{DEFAULT_BASE_URL}/api/{API_VERSION}/rents/{UUID}/states', proxy=None,
headers={'api-key': api_key}, raise_for_status=False)
@pytest.mark.asyncio
async def test_rent_info_must_do_proper_http_request(sut, api_key, aiohttp_request_mock, resp_mock):
resp_mock.json.return_value = dict(result='OK')
result = await sut.rent_state(uuid=UUID)
assert 'OK' == result
aiohttp_request_mock.assert_called_with(method='GET', url=f'{DEFAULT_BASE_URL}/api/{API_VERSION}/rents/{UUID}', proxy=None,
headers={'api-key': api_key}, raise_for_status=False)
@pytest.mark.asyncio
@pytest.mark.parametrize('args, expected_args', [(dict(rent_id=RENT_ID, enable=True, login='login', password='password'),
dict(isEnable=True, login='login', password='password'))])
async def test_set_rent_must_do_proper_http_request(sut, args, expected_args, api_key,
aiohttp_request_mock, resp_mock):
resp_mock.json.return_value = dict(result='OK')
result = await sut.set_rent(**args)
assert 'OK' == result
aiohttp_request_mock.assert_called_with(method='PUT',
url=f'{DEFAULT_BASE_URL}/api/{API_VERSION}/rents/{RENT_ID}',
json=expected_args, proxy=None,
headers={'api-key': api_key}, raise_for_status=False)
@pytest.mark.asyncio
async def test_set_rent_must_raise_on_error_if_raise_for_error_set(raise_sut, api_key, err_aiohttp_request_mock):
rv = ERROR_RESPONSE_RV
args = dict(rent_id=RENT_ID, enable=True, login='login', password='password')
with pytest.raises(MindsyncApiError) as exc_info:
rv = await raise_sut.set_rent(**args)
exc = exc_info.value
assert exc.args[0] == rv['error']['code']
assert exc.args[1] == rv['error']['name']
assert exc.args[2] == rv['error']['message']
assert exc.args[3] == rv
# CODES
@pytest.mark.asyncio
async def test_codes_list_must_do_proper_http_request(sut, api_key, aiohttp_request_mock):
result = await sut.codes_list(proxy=PROXY_URL)
expected_url = f'{DEFAULT_BASE_URL}/api/{API_VERSION}/codes'
assert RESPONSE_RV['result'] == result
aiohttp_request_mock.assert_called_with(method='GET', url=expected_url, proxy=PROXY_URL,
headers={'api-key': api_key}, raise_for_status=False)
@pytest.mark.asyncio
async def test_create_code_must_do_proper_http_request(sut, api_key, aiohttp_request_mock, open_mock, form_data):
result = await sut.create_code(proxy=PROXY_URL, file=SOME_FN)
expected_url = f'{DEFAULT_BASE_URL}/api/{API_VERSION}/codes'
# data = dict(file=open_mock.return_value, isPrivate='false')
data=form_data
open_mock.assert_called_with(SOME_FN, 'rb')
assert RESPONSE_RV['result'] == result
aiohttp_request_mock.assert_called_with(method='POST', url=expected_url, proxy=PROXY_URL,
data=form_data, headers={'api-key': api_key}, raise_for_status=False)
@pytest.mark.asyncio
async def test_create_code_must_raise_on_error_if_raise_for_error_set(raise_sut, api_key, err_aiohttp_request_mock, open_mock):
rv = ERROR_RESPONSE_RV
args = dict(rent_id=RENT_ID, enable=True, login='login', password='password')
with pytest.raises(MindsyncApiError) as exc_info:
rv = await raise_sut.create_code(proxy=PROXY_URL, file=SOME_FN)
exc = exc_info.value
assert exc.args[0] == rv['error']['code']
assert exc.args[1] == rv['error']['name']
assert exc.args[2] == rv['error']['message']
assert exc.args[3] == rv
@pytest.mark.asyncio
async def test_run_code_must_do_proper_http_request(sut, api_key, aiohttp_request_mock):
result = await sut.run_code(code_id=CODE_ID, rent_id=RENT_ID)
expected_url = f'{DEFAULT_BASE_URL}/api/{API_VERSION}/codes/{CODE_ID}/run'
data=form_data
assert RESPONSE_RV['result'] == result
expected_args = dict(rentHash=RENT_ID)
aiohttp_request_mock.assert_called_with(method='POST', url=expected_url, json=expected_args, proxy=None,
headers={'api-key': api_key}, raise_for_status=False)
@pytest.mark.asyncio
async def test_code_info_must_do_proper_http_request(sut, api_key, aiohttp_request_mock):
result = await sut.code_info(code_id=CODE_ID)
expected_url = f'{DEFAULT_BASE_URL}/api/{API_VERSION}/codes/{CODE_ID}'
assert RESPONSE_RV['result'] == result
aiohttp_request_mock.assert_called_with(method='GET', url=expected_url, proxy=None,
headers={'api-key': api_key}, raise_for_status=False)
| 42.965909
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0
| 5
|
bf1d5622ccaea0f46f7bcbdd2505f0b5aa55642a
| 48
|
py
|
Python
|
background-function/main.py
|
pengelbrecht2627/functions-framework-python-vscode
|
3f8203856f6f2ad49c3b7ba8153c427ccfcb0a4f
|
[
"MIT"
] | 5
|
2020-06-22T03:05:07.000Z
|
2021-03-31T15:28:35.000Z
|
background-function/main.py
|
chesedo/functions-framework-python-vscode
|
3f8203856f6f2ad49c3b7ba8153c427ccfcb0a4f
|
[
"MIT"
] | 1
|
2020-09-07T19:38:32.000Z
|
2020-09-08T08:41:19.000Z
|
background-function/main.py
|
chesedo/functions-framework-python-vscode
|
3f8203856f6f2ad49c3b7ba8153c427ccfcb0a4f
|
[
"MIT"
] | 3
|
2020-06-22T21:26:24.000Z
|
2020-09-30T05:11:26.000Z
|
def background_function(data, context):
pass
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0
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bf2469ca87fa101c85b17a0020e6ab7671ae18ca
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|
py
|
Python
|
api/spotprices/scripts/config.py
|
gfortil/hpcc-internship
|
8061771bcb4791fca54e6b1d74f0c019ad69bca4
|
[
"MIT"
] | null | null | null |
api/spotprices/scripts/config.py
|
gfortil/hpcc-internship
|
8061771bcb4791fca54e6b1d74f0c019ad69bca4
|
[
"MIT"
] | null | null | null |
api/spotprices/scripts/config.py
|
gfortil/hpcc-internship
|
8061771bcb4791fca54e6b1d74f0c019ad69bca4
|
[
"MIT"
] | 1
|
2021-06-10T22:07:15.000Z
|
2021-06-10T22:07:15.000Z
|
subscription = 'us-hpccplatform-dev'
subscription_id = 'ec0ba952-4ae9-4f69-b61c-4b96ff470038'
resource_prefix = 'roshan-test-'
n_threads = 5
image = "UbuntuLTS"
priority = "Spot"
max_price = "0.00001"
eviction_policy = "Deallocate"
spot_region_map = {
'centralus': ['Standard_A3', 'Standard_E80ids_v4', 'Standard_D4a_v4', 'Standard_D4s_v3', 'Standard_D64_v3', 'Standard_E16-4as_v4', 'Standard_DS12-2_v2', 'Standard_D11_v2', 'Standard_E4_v5', 'Standard_M64ms_v2', 'Standard_D2_v2', 'Standard_A2m_v2', 'Standard_M32ms_v2', 'Standard_D8_v4', 'Standard_DS1', 'Standard_D48_v5', 'Standard_D8s_v5', 'Standard_E64d_v5', 'Standard_E8-4ds_v4', 'Standard_D64ds_v5', 'Standard_DS13_v2', 'Standard_E8_v4', 'Standard_D48as_v4', 'Standard_E4-2as_v4', 'Standard_A1_v2', 'Standard_E4-2ds_v4', 'Standard_E16_v3', 'Standard_E64-32s_v3', 'Standard_E4a_v4', 'Standard_E16-8s_v4', 'Standard_D64d_v5', 'Standard_E16-4ds_v4', 'Standard_M416s_v2', 'Standard_DS13-4_v2', 'Standard_F4s', 'Standard_E16ds_v4', 'Standard_M64s', 'Standard_D48d_v5', 'Standard_E48a_v4', 'Standard_E48s_v3', 'Standard_D16ds_v5', 'Standard_E64-16as_v4', 'Standard_E16_v4', 'Standard_E16-8ds_v4', 'Standard_F48s_v2', 'Standard_M128dms_v2', 'Standard_F16s_v2', 'Standard_D16_v5', 'Standard_NC24s_v3', 'Standard_D8a_v4', 'Standard_D32_v5', 'Standard_E8_v3', 'Standard_E8a_v4', 'Standard_M208s_v2', 'Standard_F2s_v2', 'Standard_E2d_v4', 'Standard_E32-16s_v4', 'Standard_M208ms_v2', 'Standard_D2_v5', 'Standard_DS13-2_v2', 'Basic_A0', 'Standard_E80is_v4', 'Standard_E20as_v4', 'Standard_DS12', 'Standard_E4-2s_v3', 'Standard_E32_v5', 'Standard_A5', 'Standard_M208-104ms_v2', 'Standard_E64-16s_v4', 'Standard_F8', 'Standard_D4ds_v4', 'Standard_D2as_v4', 'Standard_D96_v5', 'Standard_M32dms_v2', 'Standard_M32ts', 'Standard_M192ims_v2', 'Standard_M64m', 'Standard_E16d_v5', 'Standard_E8-2s_v3', 'Standard_D32s_v3', 'Standard_D2a_v4', 'Standard_E32-8ds_v4', 'Standard_DS15i_v2', 'Standard_M32-16ms', 'Standard_E64-16s_v3', 'Standard_D96s_v5', 'Standard_DS2_v2', 'Standard_M64-16ms', 'Standard_D2d_v4', 'Standard_D48a_v4', 'Standard_NC6s_v3', 'Standard_DS3', 'Standard_E32as_v4', 'Standard_E4s_v4', 'Standard_E2_v3', 'Standard_D32d_v5', 'Standard_D32_v3', 'Standard_E96-48as_v4', 'Standard_D96ds_v5', 'Standard_M32-8ms', 'Standard_F2s', 'Standard_A8_v2', 'Standard_E4_v3', 'Standard_F64s_v2', 'Standard_M192idms_v2', 'Standard_M208-52ms_v2', 'Standard_E96-24as_v4', 'Standard_E2ds_v4', 'Standard_A2_v2', 'Standard_D48_v4', 'Standard_E8d_v5', 'Standard_ND96asr_v4', 'Standard_M32ms', 'Standard_D16d_v5', 'Standard_F8s', 'Standard_E16-4s_v4', 'Standard_DS4', 'Standard_D8s_v3', 'Standard_E64_v4', 'Standard_D32-8s_v3', 'Standard_D4d_v4', 'Standard_E8-2ds_v4', 'Standard_E8s_v4', 'Standard_A6', 'Standard_D8d_v5', 'Standard_D8s_v4', 'Standard_E2s_v4', 'Standard_E64a_v4', 'Standard_F32s_v2', 'Standard_E32_v3', 'Standard_D4_v3', 'Standard_DS1_v2', 'Standard_M64ds_v2', 'Standard_D4s_v5', 'Standard_M128s', 'Standard_E20a_v4', 'Standard_M8-2ms', 'Standard_M128', 'Standard_E2_v5', 'Standard_D2ds_v4', 'Standard_DS15_v2', 'Standard_D96d_v5', 'Standard_E2as_v4', 'Standard_M416-104s_v2', 'Standard_E48as_v4', 'Standard_D64ds_v4', 'Standard_D4_v4', 'Standard_E64i_v3', 'Standard_D16s_v5', 'Standard_D32_v4', 'Standard_E4d_v4', 'Standard_E64_v3', 'Standard_M208-52s_v2', 'Standard_D16_v4', 'Standard_A7', 'Standard_D13', 'Standard_E32-8as_v4', 'Standard_DS12-1_v2', 'Standard_E8s_v3', 'Standard_E64-32as_v4', 'Standard_F16s', 'Standard_E64s_v4', 'Standard_NC24rs_v3', 'Standard_D4ds_v5', 'Standard_E16-8as_v4', 'Standard_D16d_v4', 'Standard_M192ids_v2', 'Standard_E48d_v5', 'Standard_E32-16ds_v4', 'Standard_D2_v3', 'Standard_D15_v2', 'Standard_E20_v4', 'Standard_M416is_v2', 'Standard_D4_v5', 'Standard_D11', 'Standard_M416-104ms_v2', 'Standard_DS2', 'Standard_DS14_v2', 'Standard_A2', 'Standard_F8s_v2', 'Standard_F4', 'Standard_DS11', 'Standard_D64d_v4', 'Standard_DS13', 'Standard_A4_v2', 'Standard_E32-8s_v4', 'Standard_F1s', 'Standard_D15i_v2', 'Standard_D2', 'Standard_E16as_v4', 'Standard_D8ds_v4', 'Standard_E20_v3', 'Standard_E96d_v5', 'Standard_M16-4ms', 'Standard_M8-4ms', 'Standard_E96a_v4', 'Standard_D16as_v4', 'Standard_E20d_v4', 'Standard_E8-4as_v4', 'Standard_D8as_v4', 'Standard_D3', 'Standard_D96as_v4', 'Standard_M128s_v2', 'Standard_E8as_v4', 'Standard_E64-32s_v4', 'Standard_D4s_v4', 'Standard_D96a_v4', 'Standard_M208-104s_v2', 'Standard_D64_v5', 'Standard_DS14-8_v2', 'Standard_D48s_v4', 'Standard_E32ds_v4', 'Standard_D12', 'Standard_D32s_v5', 'Standard_DS4_v2', 'Standard_D32ds_v4', 'Standard_E32s_v3', 'Standard_E64d_v4', 'Standard_E48_v5', 'Standard_D12_v2', 'Standard_D4as_v4', 'Standard_D64s_v3', 'Standard_D64_v4', 'Standard_M416-208ms_v2', 'Basic_A1', 'Standard_A0', 'Standard_M16s', 'Standard_A4m_v2', 'Standard_ND96asr_A100_v4', 'Standard_E16-4s_v3', 'Standard_M128ds_v2', 'Standard_DS5_v2', 'Standard_E2s_v3', 'Standard_E64_v5', 'Standard_E20s_v4', 'Standard_E20d_v5', 'Standard_E32d_v4', 'Standard_D13_v2', 'Standard_D32a_v4', 'Standard_D32as_v4', 'Standard_D8_v5', 'Standard_D2ds_v5', 'Standard_E4_v4', 'Standard_D64-32s_v3', 'Standard_F72s_v2', 'Standard_M32ls', 'Standard_E48_v3', 'Standard_D14_v2', 'Basic_A2', 'Standard_M32s', 'Standard_E48d_v4', 'Standard_D14', 'Standard_E2a_v4', 'Standard_M64ms', 'Standard_E4s_v3', 'Standard_E8-2s_v4', 'Standard_E32d_v5', 'Standard_M128ms_v2', 'Standard_D2s_v3', 'Standard_M16-8ms', 'Standard_D4', 'Standard_E20ds_v4', 'Standard_F16', 'Standard_E16_v5', 'Standard_F1', 'Standard_E8-4s_v3', 'Standard_E32_v4', 'Standard_D16a_v4', 'Standard_E4as_v4', 'Standard_E16d_v4', 'Standard_M128-64ms', 'Standard_E96as_v4', 'Standard_M64dms_v2', 'Standard_E32a_v4', '', 'Standard_D2s_v4', 'Standard_M192is_v2', 'Standard_NC12s_v3', 'Standard_D64a_v4', 'Standard_D16s_v4', 'Standard_E4-2s_v4', 'Standard_E8-4s_v4', 'Standard_E4ds_v4', 'Standard_F2', 'Standard_E32-8s_v3', 'Standard_D48ds_v5', 'Standard_E16-8s_v3', 'Standard_M16ms', 'Standard_E4d_v5', 'Standard_E8ds_v4', 'Standard_D32d_v4', 'Standard_E64s_v3', 'Standard_E20_v5', 'Standard_D4d_v5', 'Standard_E16s_v4', 'Standard_E8_v5', 'Standard_D8_v3', 'Standard_D32s_v4', 'Standard_M64', 'Standard_E32-16as_v4', 'Standard_DC4s', 'Standard_F4s_v2', 'Standard_E16s_v3', 'Standard_M8ms', 'Standard_DC2s', 'Basic_A4', 'Standard_D2_v4', 'Standard_E64is_v3', 'Standard_D4_v2', 'Standard_D8ds_v5', 'Standard_E64ds_v4', 'Standard_D3_v2', 'Standard_DS3_v2', 'Standard_E48ds_v4', 'Standard_M64-32ms', 'Standard_E64-16ds_v4', 'Standard_E16a_v4', 'Standard_D1_v2', 'Standard_A8m_v2', 'Standard_E48s_v4', 'Standard_E2d_v5', 'Standard_D2s_v5', 'Standard_D48_v3', 'Standard_D48d_v4', 'Standard_D48ds_v4', 'Standard_D1', 'Standard_E64-32ds_v4', 'Standard_E8d_v4', 'Standard_D2d_v5', 'Standard_E20s_v3', 'Standard_E32s_v4', 'Standard_D16ds_v4', 'Standard_A4', 'Standard_E2_v4', 'Standard_D64s_v5', 'Standard_D64as_v4', 'Standard_ND96amsr_A100_v4', 'Standard_D64s_v4', 'Standard_DS14', 'Standard_A1', 'Standard_D48s_v3', 'Standard_DS12_v2', 'Standard_M128-32ms', 'Standard_E96_v5', 'Standard_D32ds_v5', 'Standard_D48s_v5', 'Standard_M128ms', 'Standard_E64as_v4', 'Basic_A3', 'Standard_D8d_v4', 'Standard_HB120rs_v2', 'Standard_M64ls', 'Standard_D16_v3', 'Standard_D64-16s_v3', 'Standard_DS11_v2', 'Standard_E32-16s_v3', 'Standard_D16s_v3', 'Standard_M64s_v2', 'Standard_M416ms_v2', 'Standard_D32-16s_v3', 'Standard_E8-2as_v4', 'Standard_M128m', 'Standard_M416-208s_v2', 'Standard_DS11-1_v2', 'Standard_E48_v4', 'Standard_DS14-4_v2', 'Standard_D5_v2'],
'eastasia': ['Standard_D64s_v5', 'Standard_D32-8s_v3', 'Standard_D11_v2', 'Standard_D64s_v4', 'Standard_D16d_v5', 'Standard_D2s_v4', 'Standard_E32-16ds_v4', 'Standard_F2', 'Standard_D48s_v4', 'Standard_E4-2ds_v4', 'Standard_D2ds_v4', 'Standard_D96ds_v5', 'Standard_E96_v5', 'Standard_D5_v2', 'Standard_E48s_v4', 'Standard_D16ds_v4', 'Standard_D2_v3', 'Standard_E64_v5', 'Standard_D8_v4', 'Standard_D4s_v3', 'Standard_D16as_v4', 'Standard_E64-32s_v4', 'Standard_M416is_v2', 'Standard_D64a_v4', 'Standard_DS13-4_v2', 'Basic_A4', 'Standard_D48s_v5', 'Standard_M64-32ms', 'Standard_E48d_v4', 'Standard_M64ms', 'Standard_E64d_v5', 'Standard_E8_v4', 'Standard_F1s', 'Standard_D11', 'Standard_E8ds_v4', 'Standard_E64-32ds_v4', 'Standard_E32as_v4', 'Standard_E16d_v4', 'Standard_DS12_v2', 'Standard_D32a_v4', 'Standard_D8ds_v5', 'Standard_D32ds_v5', 'Standard_D2as_v4', 'Standard_E2_v4', 'Standard_D2s_v5', 'Standard_ND40s_v2', 'Standard_E16-4s_v4', 'Standard_E8d_v4', 'Standard_E8-2as_v4', 'Standard_M416s_v2', 'Standard_E8-2s_v3', 'Standard_E20_v3', 'Standard_D96a_v4', 'Standard_E20ds_v4', 'Standard_D16d_v4', 'Standard_D32_v4', 'Standard_D96s_v5', 'Standard_E8d_v5', 'Standard_DS11', 'Standard_M208-52ms_v2', 'Standard_E8-2ds_v4', 'Standard_M16s', 'Standard_E64ds_v4', 'Standard_M416-104s_v2', 'Standard_D64d_v4', 'Standard_E4-2as_v4', 'Standard_D32as_v4', 'Standard_E20a_v4', 'Standard_D96_v5', 'Standard_D8s_v3', 'Standard_F16', 'Standard_M416-208ms_v2', 'Standard_E32-8as_v4', 'Standard_D4', 'Standard_D4ds_v4', 'Standard_D48as_v4', 'Standard_D8as_v4', 'Standard_E64_v3', 'Standard_E20s_v4', 'Standard_D15i_v2', 'Standard_D48ds_v4', 'Standard_E16_v5', 'Standard_D64_v5', 'Standard_M128', 'Standard_D48ds_v5', 'Standard_M32-8ms', 'Standard_D16s_v5', 'Standard_D96d_v5', 'Standard_A1', 'Standard_E32_v5', 'Standard_E64-16s_v4', 'Standard_E2ds_v4', 'Standard_DS14-4_v2', 'Standard_D4d_v4', 'Standard_DS2_v2', 'Standard_M416ms_v2', 'Standard_D14_v2', 'Standard_E2s_v4', 'Standard_F8s_v2', 'Standard_E32a_v4', 'Standard_E64i_v3', 'Basic_A2', 'Standard_D8a_v4', 'Standard_E64-16s_v3', 'Standard_DS1', 'Standard_M32-16ms', 'Standard_E32s_v3', 'Standard_E20d_v5', 'Standard_E2s_v3', 'Standard_DS3_v2', 'Standard_D4s_v5', 'Standard_E64s_v4', 'Standard_E48s_v3', 'Standard_A2', 'Standard_E64-32s_v3', 'Standard_M8ms', 'Basic_A0', 'Standard_A8m_v2', 'Standard_D8s_v4', 'Standard_E4d_v5', 'Standard_E8s_v3', 'Standard_M32ts', 'Standard_DS1_v2', 'Standard_D2', 'Standard_D16_v5', 'Standard_E16s_v3', 'Standard_E2d_v5', 'Standard_D64_v3', 'Standard_D48s_v3', 'Standard_M16-4ms', 'Standard_D2_v2', 'Standard_M8-4ms', 'Standard_D4_v4', 'Standard_M32s', 'Standard_D4d_v5', 'Standard_DS12-1_v2', 'Standard_D96as_v4', 'Standard_E32-8ds_v4', 'Standard_E8-4s_v3', 'Standard_D2a_v4', 'Standard_A2m_v2', 'Standard_M208-104s_v2', 'Standard_E48as_v4', 'Standard_E20d_v4', 'Standard_F72s_v2', 'Standard_E16d_v5', 'Standard_M32ms', 'Standard_D8d_v5', 'Standard_A1_v2', 'Standard_E64s_v3', 'Standard_DS11-1_v2', 'Standard_D2ds_v5', 'Standard_D13', 'Standard_M128-32ms', 'Standard_E16-8s_v3', 'Standard_E16-4as_v4', 'Standard_M208s_v2', 'Standard_D48d_v5', 'Standard_E16_v4', 'Standard_D64ds_v4', 'Standard_E32s_v4', 'Standard_D32_v5', 'Standard_D16a_v4', 'Standard_M16-8ms', 'Standard_E4-2s_v4', 'Standard_D8d_v4', 'Standard_A4m_v2', 'Standard_D8s_v5', 'Standard_D8_v3', 'Standard_F32s_v2', 'Standard_E4a_v4', 'Standard_DS3', 'Standard_E2_v5', 'Standard_M64ls', 'Standard_A4', 'Standard_D32d_v5', 'Standard_A2_v2', 'Standard_E48ds_v4', 'Standard_F16s', 'Standard_M64', 'Standard_D2_v5', 'Standard_E20as_v4', 'Standard_DS14-8_v2', 'Standard_E8-2s_v4', 'Standard_D14', 'Standard_E20_v5', 'Standard_E2a_v4', 'Standard_M128-64ms', 'Standard_E32ds_v4', 'Standard_D48_v5', 'Standard_E4_v4', 'Standard_F64s_v2', 'Standard_DS5_v2', 'Standard_DS13', 'Basic_A3', 'Standard_D64ds_v5', 'Standard_DS12', 'Standard_DS13_v2', 'Standard_E16-8ds_v4', 'Standard_E20_v4', 'Standard_E4_v3', 'Standard_M64s', 'Standard_E8s_v4', 'Standard_E20s_v3', 'Standard_DS15_v2', 'Standard_E96a_v4', '', 'Standard_E4_v5', 'Standard_E64d_v4', 'Standard_DS4_v2', 'Standard_E4-2s_v3', 'Standard_E48_v4', 'Standard_E64-32as_v4', 'Standard_E48_v5', 'Standard_E48_v3', 'Standard_E8-4ds_v4', 'Standard_D16ds_v5', 'Standard_M128ms', 'Standard_E32-8s_v3', 'Standard_D32s_v3', 'Standard_D16s_v4', 'Standard_E96-24as_v4', 'Standard_E16as_v4', 'Standard_F8s', 'Standard_E8a_v4', 'Standard_DS13-2_v2', 'Standard_E16ds_v4', 'Standard_F4', 'Standard_D8ds_v4', 'Standard_M64-16ms', 'Standard_D15_v2', 'Standard_E2d_v4', 'Standard_E32-16s_v4', 'Standard_E32_v4', 'Standard_E16-4s_v3', 'Standard_E16-8as_v4', 'Standard_E8-4as_v4', 'Standard_A5', 'Standard_E8_v3', 'Basic_A1', 'Standard_E16_v3', 'Standard_D1_v2', 'Standard_D2d_v4', 'Standard_E32d_v5', 'Standard_D13_v2', 'Standard_D12_v2', 'Standard_E48a_v4', 'Standard_E8_v5', 'Standard_E96as_v4', 'Standard_M32ls', 'Standard_E32-8s_v4', 'Standard_F4s', 'Standard_D32-16s_v3', 'Standard_D3_v2', 'Standard_DS12-2_v2', 'Standard_D4as_v4', 'Standard_E80ids_v4', 'Standard_D2d_v5', 'Standard_DS14', 'Standard_D2s_v3', 'Standard_M128s', 'Standard_D4a_v4', 'Standard_D3', 'Standard_D1', 'Standard_D4s_v4', 'Standard_D32d_v4', 'Standard_E96d_v5', 'Standard_DS14_v2', 'Standard_E32_v3', 'Standard_D4_v2', 'Standard_M8-2ms', 'Standard_A7', 'Standard_A3', 'Standard_F1', 'Standard_E48d_v5', 'Standard_F2s', 'Standard_D48a_v4', 'Standard_E32d_v4', 'Standard_D12', 'Standard_E4as_v4', 'Standard_D16_v3', 'Standard_A6', 'Standard_D4_v5', 'Standard_D64-16s_v3', 'Standard_E2_v3', 'Standard_D64s_v3', 'Standard_E64is_v3', 'Standard_DS11_v2', 'Standard_E4ds_v4', 'Standard_E4d_v4', 'Standard_E96-48as_v4', 'Standard_E64a_v4', 'Standard_D16s_v3', 'Standard_D4ds_v5', 'Standard_F16s_v2', 'Standard_M208-104ms_v2', 'Standard_E8-4s_v4', 'Standard_DS2', 'Standard_DS4', 'Standard_M208-52s_v2', 'Standard_D32_v3', 'Standard_E64-16ds_v4', 'Standard_M416-104ms_v2', 'Standard_E16-8s_v4', 'Standard_E64as_v4', 'Standard_D64d_v5', 'Standard_D64-32s_v3', 'Standard_D2_v4', 'Standard_E4s_v3', 'Standard_DS15i_v2', 'Standard_E64_v4', 'Standard_E80is_v4', 'Standard_E32-16s_v3', 'Standard_D48d_v4', 'Standard_F8', 'Standard_D32s_v4', 'Standard_E4s_v4', 'Standard_D48_v4', 'Standard_D32s_v5', 'Standard_E16a_v4', 'Standard_M16ms', 'Standard_D4_v3', 'Standard_A4_v2', 'Standard_D8_v5', 'Standard_M64m', 'Standard_E8as_v4', 'Standard_D48_v3', 'Standard_D32ds_v4', 'Standard_E2as_v4', 'Standard_M416-208s_v2', 'Standard_A0', 'Standard_E64-16as_v4', 'Standard_F2s_v2', 'Standard_F4s_v2', 'Standard_M208ms_v2', 'Standard_M128m', 'Standard_F48s_v2', 'Standard_E16-4ds_v4', 'Standard_D16_v4', 'Standard_D64_v4', 'Standard_D64as_v4', 'Standard_E16s_v4', 'Standard_E32-16as_v4', 'Standard_A8_v2'],
'southeastasia': ['Standard_HC44-32rs', 'Standard_E32a_v4', 'Standard_D32as_v4', 'Standard_M64s_v2', 'Standard_H8m', 'Standard_NC24s_v2', 'Standard_D2ds_v4', 'Standard_M416-104s_v2', 'Standard_D8ds_v5', 'Standard_A2', 'Standard_D16d_v4', 'Standard_D2as_v4', 'Standard_M416ms_v2', 'Standard_E4s_v4', 'Standard_E32s_v4', 'Standard_A2m_v2', 'Standard_DS13-4_v2', 'Standard_NV32as_v4', 'Standard_A8m_v2', 'Standard_M32ts', 'Standard_E32s_v3', 'Standard_A4_v2', 'Standard_M8-2ms', 'Standard_D2_v4', 'Standard_G1', 'Standard_NV12', 'Standard_E64-32as_v4', 'Standard_E2_v3', 'Standard_D48_v5', 'Standard_M208s_v2', 'Standard_E32d_v5', 'Standard_M32-16ms', 'Standard_E96d_v5', 'Standard_E32d_v4', 'Standard_E16ds_v4', 'Standard_A1', 'Standard_D96s_v5', 'Standard_M64ls', 'Standard_M416-208s_v2', 'Standard_E8-2as_v4', 'Standard_E8-2s_v3', 'Standard_E8-4s_v3', 'Standard_E8s_v3', 'Standard_D5_v2', 'Standard_DS13-2_v2', 'Standard_NP40s', 'Standard_L32s_v2', 'Standard_E64-16ds_v4', 'Standard_E64_v5', 'Standard_E8-2ds_v4', 'Standard_D8d_v5', 'Standard_E4d_v4', 'Standard_E2_v5', 'Standard_D64ds_v5', 'Standard_ND24s', 'Standard_M32ls', 'Standard_NC6', 'Standard_D16s_v4', 'Standard_D4_v2', 'Standard_M64ms_v2', 'Standard_D64a_v4', 'Standard_D48_v4', 'Standard_D8s_v4', 'Standard_M64s', 'Standard_NC24rs_v3', 'Standard_E4a_v4', 'Standard_A5', 'Standard_M32-8ms', 'Standard_E20as_v4', 'Standard_F2', 'Standard_E4-2ds_v4', 'Standard_F2s', 'Standard_E8a_v4', 'Standard_E4s_v3', 'Standard_NC6s_v3', 'Standard_L8s', 'Standard_D32-16s_v3', 'Standard_D4ds_v4', 'Standard_M128ds_v2', 'Standard_GS5-16', 'Standard_F2s_v2', 'Standard_D3', 'Standard_D8d_v4', 'Standard_D2_v5', 'Standard_GS4-4', 'Standard_E32-16ds_v4', 'Standard_D16s_v3', 'Standard_D4_v4', 'Standard_E4-2s_v3', 'Standard_E16-8ds_v4', 'Standard_D32ds_v5', 'Standard_M192is_v2', 'Standard_E8d_v4', 'Standard_A8_v2', 'Standard_HC44rs', 'Standard_GS1', 'Standard_D32d_v4', 'Standard_DS12', 'Standard_M64-16ms', 'Standard_D4s_v3', 'Standard_A0', 'Standard_NC24r', 'Standard_E64a_v4', 'Standard_M128dms_v2', 'Standard_M128s', 'Standard_E48_v5', 'Standard_D2_v3', 'Standard_D48a_v4', 'Standard_DC8_v2', 'Standard_E96as_v4', 'Standard_E4_v3', 'Standard_A4', 'Standard_M64-32ms', 'Standard_D32_v5', 'Standard_E8_v5', 'Standard_D2s_v3', 'Standard_E16s_v4', 'Standard_E20s_v3', 'Standard_E32_v3', 'Standard_DS4_v2', 'Standard_E16-8s_v3', 'Standard_M208ms_v2', 'Standard_M128ms_v2', 'Standard_E16s_v3', 'Standard_L32s', 'Standard_D8ds_v4', 'Standard_D64d_v4', 'Standard_ND40rs_v2', 'Standard_D15_v2', 'Standard_E4_v4', 'Standard_D16_v3', 'Standard_NC16as_T4_v3', 'Standard_F8', 'Standard_D4d_v5', 'Standard_M208-104s_v2', 'Standard_NC6s_v2', 'Standard_D8as_v4', 'Standard_M64ms', 'Standard_NC12s_v3', 'Standard_H16mr', 'Standard_E20s_v4', 'Standard_GS5-8', 'Standard_GS3', 'Standard_E16-4s_v4', 'Standard_M16-4ms', 'Standard_D32s_v4', 'Standard_D2d_v5', 'Standard_E64s_v4', 'Standard_D13', 'Standard_D11', 'Standard_D4d_v4', 'Standard_E64-32s_v3', 'Standard_F8s_v2', 'Standard_NC12s_v2', 'Standard_M208-52ms_v2', 'Standard_NV16as_v4', 'Standard_E16-4as_v4', 'Standard_E8as_v4', 'Standard_NC24s_v3', 'Standard_E64-16as_v4', 'Standard_ND6s', 'Standard_E64_v3', 'Standard_D16_v4', 'Standard_E8-2s_v4', 'Standard_D16a_v4', 'Standard_E8d_v5', 'Standard_DS5_v2', 'Standard_M128ms', 'Standard_DC2s_v2', 'Standard_D48d_v5', 'Standard_E2as_v4', 'Standard_F32s_v2', 'Standard_D64_v3', 'Standard_D16ds_v5', 'Standard_E64-32s_v4', 'Standard_E96_v5', 'Standard_D4_v5', 'Standard_M64dms_v2', 'Standard_E96-48as_v4', 'Standard_D16_v5', 'Standard_D2a_v4', 'Standard_E20ds_v4', 'Standard_DS11', 'Standard_M8-4ms', 'Standard_NC8as_T4_v3', 'Standard_GS5', 'Standard_E4-2as_v4', 'Standard_D11_v2', 'Standard_E48as_v4', 'Standard_D32a_v4', 'Standard_D96ds_v5', 'Standard_L80s_v2', 'Standard_E16a_v4', 'Standard_E48d_v5', 'Standard_DS13', 'Standard_E32-8as_v4', 'Standard_DS4', 'Standard_F64s_v2', 'Standard_PB24s', 'Standard_D64_v4', 'Standard_D4ds_v5', 'Standard_D2d_v4', 'Standard_D64d_v5', 'Standard_D4s_v4', 'Standard_PB6s', 'Standard_H16', 'Standard_E32-8s_v3', 'Standard_D2', 'Standard_F1s', 'Standard_E2d_v5', 'Standard_F4s', 'Standard_M64m', 'Standard_E20d_v4', 'Standard_NC12', 'Standard_M16s', 'Standard_D1_v2', 'Standard_NV24', 'Standard_E32as_v4', 'Standard_ND12s', 'Standard_DS1', 'Standard_D12_v2', 'Standard_D8_v4', 'Standard_G4', 'Standard_D48_v3', 'Standard_A7', 'Standard_DS2_v2', 'Standard_E16-8as_v4', 'Standard_D64-16s_v3', 'Standard_E16_v4', 'Standard_DS2', 'Standard_NC4as_T4_v3', 'Standard_E64_v4', 'Standard_E8-4s_v4', 'Standard_NV48s_v3', 'Standard_E8_v3', 'Standard_F16s', 'Standard_DS12_v2', 'Standard_E4_v5', 'Standard_M16ms', 'Standard_D64s_v5', 'Standard_M192idms_v2', 'Standard_D8_v5', 'Standard_M192ids_v2', 'Standard_E80ids_v4', 'Standard_D32d_v5', 'Basic_A2', 'Standard_E8-4as_v4', 'Standard_D4', 'Standard_D32s_v3', 'Standard_GS2', 'Standard_D1', 'Standard_D2_v2', 'Standard_NC24', 'Standard_L16s_v2', 'Standard_E48_v4', 'Standard_M416-104ms_v2', 'Standard_H16m', 'Standard_M128-32ms', 'Standard_E4as_v4', 'Standard_D16ds_v4', 'Standard_E16_v5', '', 'Standard_E16_v3', 'Standard_M64ds_v2', 'Standard_E16-8s_v4', 'Standard_E32_v5', 'Standard_F8s', 'Standard_GS4-8', 'Standard_L64s_v2', 'Standard_E80is_v4', 'Standard_D4s_v5', 'Standard_M416s_v2', 'Standard_E32-16as_v4', 'Standard_HC44-16rs', 'Standard_E32_v4', 'Standard_L88is_v2', 'Standard_D48s_v4', 'Standard_D48d_v4', 'Standard_D16as_v4', 'Standard_A6', 'Standard_E64ds_v4', 'Standard_E8ds_v4', 'Standard_A1_v2', 'Standard_DC4s_v2', 'Standard_F16s_v2', 'Standard_NP10s', 'Standard_E64-16s_v3', 'Basic_A1', 'Standard_D16d_v5', 'Standard_M416is_v2', 'Standard_D2s_v4', 'Standard_DS11_v2', 'Standard_D3_v2', 'Standard_E64as_v4', 'Standard_D32-8s_v3', 'Standard_DS11-1_v2', 'Standard_D8s_v3', 'Standard_GS4', 'Standard_E2a_v4', 'Standard_D96d_v5', 'Standard_A4m_v2', 'Standard_M32dms_v2', 'Standard_E16d_v5', 'Standard_E64d_v5', 'Standard_NC64as_T4_v3', 'Standard_NV6', 'Standard_D48s_v5', 'Basic_A4', 'Standard_F48s_v2', 'Standard_M32ms', 'Standard_L48s_v2', 'Standard_E20a_v4', 'Standard_E96-24as_v4', 'Standard_E32ds_v4', 'Standard_DS13_v2', 'Standard_D48ds_v4', 'Standard_E16-4s_v3', 'Standard_E64i_v3', 'Standard_E20d_v5', 'Standard_E32-8s_v4', 'Standard_M208-104ms_v2', 'Standard_ND40s_v2', 'Standard_D96a_v4', 'Standard_D64s_v4', 'Standard_D32_v4', 'Standard_DS15_v2', 'Standard_M128s_v2', 'Standard_E32-8ds_v4', 'Standard_F72s_v2', 'Standard_M128-64ms', 'Standard_D64_v5', 'Standard_NV8as_v4', 'Standard_M416-208ms_v2', 'Standard_D4as_v4', 'Standard_D48as_v4', 'Standard_D12', 'Standard_E16d_v4', 'Standard_E2_v4', 'Standard_D4a_v4', 'Standard_F4', 'Standard_DS14-4_v2', 'Standard_D16s_v5', 'Standard_E64-16s_v4', 'Standard_E20_v5', 'Standard_D48s_v3', 'Standard_L4s', 'Standard_L8s_v2', 'Standard_PB12s', 'Standard_D32_v3', 'Standard_D64s_v3', 'Standard_F4s_v2', 'Standard_D14', 'Standard_G2', 'Standard_E48d_v4', 'Standard_NV4as_v4', 'Standard_D8s_v5', 'Standard_A2_v2', 'Standard_D2ds_v5', 'Standard_E48s_v3', 'Standard_E32-16s_v3', 'Standard_ND24rs', 'Standard_D8_v3', 'Standard_A3', 'Standard_D64ds_v4', 'Standard_F16', 'Standard_D13_v2', 'Standard_D14_v2', 'Standard_E8_v4', 'Standard_D48ds_v5', 'Standard_M32s', 'Standard_NP20s', 'Standard_E48ds_v4', 'Standard_E48a_v4', 'Standard_M32ms_v2', 'Standard_DS3_v2', 'Standard_NV12s_v3', 'Standard_DS1_v2', 'Standard_H16r', 'Standard_E96a_v4', 'Standard_E64s_v3', 'Standard_E16as_v4', 'Basic_A0', 'Standard_DS12-1_v2', 'Standard_D64-32s_v3', 'Standard_E64d_v4', 'Standard_E48_v3', 'Standard_E16-4ds_v4', 'Standard_E4ds_v4', 'Standard_M16-8ms', 'Standard_D15i_v2', 'Standard_M64', 'Standard_DS14_v2', 'Standard_M192ims_v2', 'Standard_E2s_v4', 'Standard_DS3', 'Standard_E32-16s_v4', 'Standard_E20_v4', 'Standard_M8ms', 'Standard_E64-32ds_v4', 'Standard_D4_v3', 'Standard_E48s_v4', 'Standard_E8s_v4', 'Standard_D64as_v4', 'Standard_E2d_v4', 'Standard_E20_v3', 'Standard_DS14', 'Standard_E64is_v3', 'Standard_G3', 'Standard_M128m', 'Standard_DS15i_v2', 'Standard_D32ds_v4', 'Standard_E2ds_v4', 'Standard_M208-52s_v2', 'Standard_D32s_v5', 'Standard_D96as_v4', 'Standard_E4d_v5', 'Standard_L16s', 'Standard_DS14-8_v2', 'Standard_E8-4ds_v4', 'Standard_NC24rs_v2', 'Standard_D96_v5', 'Standard_NV24s_v3', 'Basic_A3', 'Standard_F1', 'Standard_G5', 'Standard_E4-2s_v4', 'Standard_E2s_v3', 'Standard_H8', 'Standard_M128', 'Standard_D2s_v5', 'Standard_D8a_v4', 'Standard_DC1s_v2', 'Standard_DS12-2_v2'],
'eastus': ['Standard_M32ts', 'Standard_E48a_v4', 'Standard_E32-8s_v4', 'Standard_M32-8ms', 'Standard_NP20s', 'Standard_D32as_v4', 'Standard_E48as_v4', 'Standard_M8-2ms', 'Standard_D14', 'Standard_M64s_v2', 'Standard_D2a_v4', 'Standard_D16_v3', 'Standard_D64_v4', 'Standard_A8_v2', 'Standard_D48ds_v5', 'Standard_E4a_v4', 'Standard_D4_v4', 'Standard_E8-2ds_v4', 'Standard_E2ds_v4', 'Standard_E80is_v4', 'Standard_D16ds_v5', 'Standard_D48s_v5', 'Standard_DS11', 'Standard_NC6s_v2', 'Standard_D2ds_v5', 'Standard_M64-32ms', 'Standard_D32ds_v4', 'Standard_DS3_v2', 'Standard_E20d_v4', 'Standard_D64s_v5', 'Standard_HB60-15rs', 'Standard_HB120-96rs_v3', 'Standard_E16s_v4', 'Standard_E8-2as_v4', 'Standard_D48a_v4', 'Standard_M416-104s_v2', 'Standard_E2d_v4', 'Standard_E64-32as_v4', 'Standard_D8a_v4', 'Standard_D5_v2', 'Standard_DC2s', 'Standard_D4d_v5', 'Standard_E20as_v4', 'Standard_M64dms_v2', 'Standard_A1', 'Standard_D4_v2', 'Standard_M128dms_v2', 'Standard_M64ms', 'Standard_A4_v2', 'Standard_D2_v5', 'Standard_DS2_v2', 'Standard_DS13-2_v2', 'Standard_D4s_v4', 'Standard_L8s_v2', 'Standard_E32s_v4', 'Standard_H16', 'Standard_NC64as_T4_v3', 'Standard_NP10s', 'Standard_E32_v4', 'Standard_L88is_v2', 'Standard_D15i_v2', 'Standard_M192is_v2', 'Standard_HB120-64rs_v3', 'Standard_ND40rs_v2', 'Standard_E20_v3', 'Standard_D96d_v5', 'Standard_D2s_v4', 'Standard_E2as_v4', 'Standard_E64s_v3', 'Standard_M16-4ms', 'Standard_E64i_v3', 'Standard_A11', 'Standard_A1_v2', 'Standard_F72s_v2', 'Standard_D1_v2', 'Standard_M8-4ms', 'Standard_ND96asr_v4', 'Standard_D14_v2', 'Standard_E48s_v3', 'Standard_M64ls', 'Standard_D32a_v4', 'Standard_M64', 'Standard_DS11-1_v2', 'Standard_ND6s', 'Standard_D16s_v4', 'Standard_H8', 'Standard_ND40s_v2', 'Standard_HC44rs', 'Standard_A9', 'Standard_NC12s_v2', 'Standard_D96s_v5', 'Standard_D48_v4', 'Standard_H8m', 'Standard_DS1', 'Standard_D2_v4', 'Standard_E4as_v4', 'Standard_M16ms', 'Standard_D13', 'Standard_NC12', 'Standard_E8d_v5', 'Standard_E32s_v3', 'Standard_M416-104ms_v2', 'Standard_HC44-16rs', 'Standard_D96a_v4', 'Standard_M128-32ms', 'Standard_L48s_v2', 'Standard_HB60-45rs', 'Standard_D2', 'Standard_E16as_v4', 'Standard_E16a_v4', 'Standard_PB24s', 'Standard_M128ms_v2', 'Standard_M208s_v2', 'Standard_E4-2s_v3', 'Standard_E16-8as_v4', 'Standard_NV24', 'Standard_DC1s_v2', 'Standard_E64_v4', 'Standard_D32-8s_v3', 'Standard_D3_v2', 'Standard_E8_v5', 'Standard_D16ds_v4', 'Standard_L80s_v2', 'Standard_E20s_v3', 'Standard_D11', 'Standard_E2a_v4', 'Basic_A3', 'Standard_M192ims_v2', 'Standard_E20d_v5', 'Standard_D4_v3', 'Standard_NC24rs_v2', 'Standard_D8_v3', 'Standard_D2ds_v4', 'Standard_NP40s', 'Standard_D64_v3', 'Standard_D64d_v5', 'Standard_M128ms', 'Standard_M64-16ms', 'Standard_D2s_v5', 'Standard_D16_v5', 'Standard_DS13_v2', 'Standard_NV4as_v4', 'Standard_E32-8as_v4', 'Standard_E2_v3', 'Standard_E4ds_v4', 'Standard_H16m', 'Standard_NC24rs_v3', 'Standard_E64-16ds_v4', 'Standard_D32_v4', 'Standard_D48s_v4', 'Standard_M16-8ms', 'Standard_D96ds_v5', 'Standard_E32-16s_v3', 'Standard_NC24r', 'Standard_E16_v5', 'Standard_E64-16s_v3', 'Standard_E4-2s_v4', 'Standard_NV16as_v4', 'Standard_D64a_v4', 'Standard_E2_v5', 'Standard_HB120-32rs_v3', 'Standard_D48_v5', 'Standard_M8ms', 'Standard_DS13-4_v2', 'Standard_D4as_v4', 'Standard_E16_v3', 'Standard_F2s_v2', 'Standard_D16a_v4', 'Standard_E64s_v4', 'Standard_E8ds_v4', 'Standard_D2_v3', 'Standard_M32-16ms', 'Standard_PB6s', 'Standard_HB120-16rs_v3', 'Standard_E8s_v4', 'Standard_F1s', 'Standard_D16s_v5', 'Standard_E48_v4', 'Standard_D48_v3', 'Standard_E16-4as_v4', 'Standard_E8a_v4', 'Standard_F2s', 'Standard_DC4s', 'Standard_E48d_v4', 'Standard_DS12_v2', 'Standard_F48s_v2', 'Standard_F64s_v2', 'Standard_DS4', 'Standard_D4_v5', 'Standard_L16s_v2', 'Standard_D48as_v4', 'Standard_D4d_v4', 'Standard_E16-4s_v3', 'Standard_E96-48as_v4', 'Standard_DS14-8_v2', 'Standard_ND96amsr_A100_v4', 'Standard_M128s', 'Standard_F32s_v2', 'Standard_D8d_v5', 'Standard_E16d_v4', 'Standard_DS2', 'Standard_HB60rs', 'Standard_E2_v4', 'Standard_F16s', 'Standard_D48d_v4', 'Basic_A4', 'Standard_D4a_v4', 'Standard_L32s_v2', 'Standard_PB12s', 'Standard_E8-4ds_v4', 'Standard_D32d_v5', 'Standard_E4-2as_v4', 'Standard_D2_v2', 'Standard_E4-2ds_v4', 'Standard_D16_v4', 'Standard_E8as_v4', 'Standard_E96as_v4', '', 'Standard_HB120rs_v3', 'Standard_M32ls', 'Standard_F2', 'Standard_E8d_v4', 'Standard_E48d_v5', 'Standard_E20s_v4', 'Standard_D12_v2', 'Standard_NC12s_v3', 'Standard_D8s_v4', 'Standard_M64s', 'Standard_E20_v5', 'Standard_A0', 'Standard_D96_v5', 'Standard_E48s_v4', 'Standard_E96a_v4', 'Standard_E64ds_v4', 'Standard_F1', 'Standard_E48_v5', 'Standard_D32s_v4', 'Standard_E16_v4', 'Standard_D4ds_v4', 'Standard_E20_v4', 'Standard_M16s', 'Standard_E16-4s_v4', 'Standard_E96_v5', 'Standard_D8as_v4', 'Standard_E32ds_v4', 'Standard_A6', 'Standard_H16mr', 'Standard_D16d_v5', 'Standard_D32d_v4', 'Standard_E32-8s_v3', 'Standard_E4d_v4', 'Standard_DS4_v2', 'Standard_DS14', 'Standard_E32-16ds_v4', 'Standard_M128', 'Standard_D64s_v3', 'Standard_E8-2s_v3', 'Standard_E32-16as_v4', 'Standard_M32ms', 'Standard_NC24', 'Basic_A0', 'Standard_DS14-4_v2', 'Standard_E16d_v5', 'Standard_D32s_v5', 'Standard_NC8as_T4_v3', 'Standard_DC2s_v2', 'Standard_D64-32s_v3', 'Standard_E48ds_v4', 'Standard_E64-32ds_v4', 'Standard_A2_v2', 'Standard_E8_v4', 'Standard_DS1_v2', 'Standard_E2s_v4', 'Standard_E8-4s_v4', 'Standard_NC24s_v2', 'Standard_E16-8s_v3', 'Standard_E64-32s_v3', 'Standard_A4', 'Standard_E8-4as_v4', 'Standard_A7', 'Standard_F8s_v2', 'Standard_DS12', 'Standard_A8m_v2', 'Standard_E64d_v4', 'Standard_E32_v5', 'Standard_M192ids_v2', 'Standard_E64as_v4', 'Standard_D64ds_v4', 'Standard_D8ds_v5', 'Standard_HC44-32rs', 'Standard_E64-16s_v4', 'Standard_E2d_v5', 'Standard_F4s_v2', 'Standard_DS11_v2', 'Standard_D32_v5', 'Standard_NV12s_v3', 'Standard_E64is_v3', 'Standard_D3', 'Standard_M416is_v2', 'Standard_E8s_v3', 'Standard_E4s_v3', 'Standard_E32-8ds_v4', 'Standard_NC6', 'Standard_D8d_v4', 'Standard_E8-4s_v3', 'Basic_A2', 'Standard_E16-8s_v4', 'Standard_E4s_v4', 'Standard_ND12s', 'Standard_D8_v5', 'Standard_E64a_v4', 'Standard_D4', 'Standard_E16ds_v4', 'Standard_M208-104ms_v2', 'Standard_DC4s_v2', 'Standard_D8s_v3', 'Standard_M32s', 'Standard_E96-24as_v4', 'Standard_E64-16as_v4', 'Standard_A3', 'Standard_E2s_v3', 'Standard_E32as_v4', 'Standard_NV32as_v4', 'Standard_A5', 'Standard_DS3', 'Standard_D48d_v5', 'Standard_A8', 'Standard_D32_v3', 'Standard_E20a_v4', 'Standard_E8-2s_v4', 'Standard_E4_v3', 'Standard_M416ms_v2', 'Standard_M416-208ms_v2', 'Standard_M208-52s_v2', 'Standard_E64-32s_v4', 'Standard_E16s_v3', 'Standard_NV24s_v3', 'Standard_F16', 'Standard_A10', 'Standard_NV48s_v3', 'Basic_A1', 'Standard_D16as_v4', 'Standard_D2s_v3', 'Standard_NV6', 'Standard_D48s_v3', 'Standard_D2as_v4', 'Standard_D64s_v4', 'Standard_D96as_v4', 'Standard_DS13', 'Standard_D2d_v4', 'Standard_D4s_v3', 'Standard_NC16as_T4_v3', 'Standard_D64d_v4', 'Standard_F4', 'Standard_M64ms_v2', 'Standard_D2d_v5', 'Standard_NC6s_v3', 'Standard_E64d_v5', 'Standard_M208-104s_v2', 'Standard_M208-52ms_v2', 'Standard_D12', 'Standard_DS15i_v2', 'Standard_E64_v3', 'Standard_E96d_v5', 'Standard_M192idms_v2', 'Standard_F16s_v2', 'Standard_NV12', 'Standard_M128s_v2', 'Standard_D8ds_v4', 'Standard_F8', 'Standard_DC8_v2', 'Standard_E48_v3', 'Standard_M128ds_v2', 'Standard_D11_v2', 'Standard_E4d_v5', 'Standard_H16r', 'Standard_D64-16s_v3', 'Standard_NC4as_T4_v3', 'Standard_F8s', 'Standard_D8s_v5', 'Standard_D13_v2', 'Standard_E16-4ds_v4', 'Standard_A2m_v2', 'Standard_M64m', 'Standard_L64s_v2', 'Standard_D16d_v4', 'Standard_E32d_v4', 'Standard_E4_v4', 'Standard_E4_v5', 'Standard_E8_v3', 'Standard_D64_v5', 'Standard_D32-16s_v3', 'Standard_M64ds_v2', 'Standard_D64as_v4', 'Standard_M416-208s_v2', 'Standard_DS15_v2', 'Standard_M128m', 'Standard_A2', 'Standard_DS5_v2', 'Standard_E16-8ds_v4', 'Standard_F4s', 'Standard_E32d_v5', 'Standard_D32ds_v5', 'Standard_HB60-30rs', 'Standard_D48ds_v4', 'Standard_D4ds_v5', 'Standard_E64_v5', 'Standard_M208ms_v2', 'Standard_A4m_v2', 'Standard_DS14_v2', 'Standard_E32_v3', 'Standard_M416s_v2', 'Standard_D16s_v3', 'Standard_ND24rs', 'Standard_M32dms_v2', 'Standard_E80ids_v4', 'Standard_E32a_v4', 'Standard_D64ds_v5', 'Standard_NV8as_v4', 'Standard_D1', 'Standard_HB120rs_v2', 'Standard_M32ms_v2', 'Standard_D15_v2', 'Standard_D32s_v3', 'Standard_E20ds_v4', 'Standard_ND96asr_A100_v4', 'Standard_D8_v4', 'Standard_ND24s', 'Standard_D4s_v5', 'Standard_M128-64ms', 'Standard_DS12-1_v2', 'Standard_DS12-2_v2', 'Standard_E32-16s_v4', 'Standard_NC24s_v3'],
'eastus2': ['Standard_E64i_v3', 'Standard_DS11-1_v2', 'Standard_D14', 'Standard_F4', 'Standard_M32-16ms', 'Standard_E64s_v3', 'Standard_D8d_v5', 'Standard_E64d_v5', 'Standard_E64a_v4', 'Standard_E96a_v4', 'Standard_GS5-16', 'Standard_E64-16s_v4', 'Standard_E2_v3', 'Standard_M32dms_v2', 'Standard_E96-48as_v4', 'Standard_M416s_v2', 'Standard_E64s_v4', 'Standard_D8_v3', 'Standard_D4s_v5', 'Standard_F1s', 'Standard_D13', 'Standard_F1', 'Standard_NC6s_v3', 'Standard_E48s_v3', 'Standard_M64ls', 'Standard_D32-16s_v3', 'Standard_E2a_v4', 'Standard_D48_v5', 'Standard_D11_v2', 'Standard_E48_v5', 'Standard_DS13-4_v2', 'Standard_M192is_v2', 'Standard_E16_v3', 'Standard_DS13', 'Standard_D3_v2', 'Standard_E4-2ds_v4', 'Standard_E96as_v4', 'Standard_D64as_v4', 'Standard_F16', 'Standard_E8a_v4', 'Standard_D16ds_v4', 'Standard_E4s_v3', 'Standard_E20_v5', 'Standard_L8s', 'Standard_A4m_v2', 'Standard_D2ds_v4', 'Standard_DS12_v2', 'Standard_D32d_v5', 'Standard_M64-32ms', 'Standard_E4-2s_v4', 'Standard_D64a_v4', 'Standard_F64s_v2', 'Standard_D48s_v5', 'Standard_D64_v5', 'Standard_L48s_v2', 'Standard_E2s_v4', 'Standard_E16a_v4', 'Standard_M208-104ms_v2', 'Standard_D2d_v5', 'Standard_E32-16ds_v4', 'Standard_G3', 'Standard_G2', 'Standard_M128ms', 'Standard_E64-32as_v4', 'Standard_A2m_v2', 'Standard_E20as_v4', 'Basic_A1', 'Standard_G5', 'Standard_D3', 'Standard_E20_v4', 'Standard_M128s', 'Standard_D96ds_v5', 'Standard_E32_v5', 'Standard_M416-104ms_v2', 'Standard_M64dms_v2', 'Standard_DS2_v2', 'Standard_D8a_v4', 'Standard_D32ds_v5', 'Standard_E64_v4', 'Standard_M16s', 'Standard_E8-2s_v4', 'Standard_A6', 'Standard_DS15i_v2', 'Standard_GS2', 'Standard_D8as_v4', 'Standard_E2d_v4', 'Standard_D32_v4', 'Standard_D12_v2', 'Standard_D2_v5', 'Standard_A7', 'Standard_DS15_v2', 'Standard_D48d_v5', 'Standard_D15i_v2', 'Standard_E32ds_v4', 'Standard_D32s_v3', 'Standard_E32-8as_v4', 'Standard_D16_v4', 'Standard_D96as_v4', 'Standard_E48d_v5', 'Standard_NC16as_T4_v3', 'Standard_E32-8ds_v4', 'Standard_D4ds_v4', 'Standard_E32-16s_v3', 'Standard_E8_v5', 'Standard_D11', 'Standard_DS12-1_v2', 'Standard_D32_v5', 'Standard_L32s_v2', 'Standard_L32s', 'Standard_E20s_v4', 'Standard_E48a_v4', 'Standard_E20d_v4', 'Standard_D16s_v5', 'Standard_E16-4s_v3', 'Standard_E48s_v4', 'Standard_A4', 'Standard_A3', 'Standard_L16s_v2', 'Standard_D64-16s_v3', 'Standard_E64_v5', 'Standard_GS4-8', 'Standard_DS14', 'Standard_D64ds_v5', 'Standard_E8s_v4', 'Standard_DS14-8_v2', 'Standard_DS12', 'Standard_E4d_v5', 'Standard_NV24s_v3', 'Standard_E64-16as_v4', 'Basic_A2', 'Standard_D64s_v5', 'Standard_F8s_v2', 'Standard_D64s_v3', 'Standard_D2s_v5', 'Standard_A0', 'Standard_D4ds_v5', 'Standard_ND96amsr_A100_v4', '', 'Standard_NC12', 'Standard_M32ms_v2', 'Standard_NV12', 'Standard_GS4-4', 'Standard_E48_v3', 'Standard_F2s', 'Standard_NV6', 'Standard_D8_v5', 'Standard_D8_v4', 'Standard_D48d_v4', 'Standard_D48ds_v5', 'Standard_L80s_v2', 'Standard_D1_v2', 'Standard_M192idms_v2', 'Standard_F2s_v2', 'Standard_D32s_v4', 'Standard_M192ims_v2', 'Standard_E64-16s_v3', 'Standard_GS5-8', 'Standard_D32d_v4', 'Standard_L16s', 'Standard_D1', 'Standard_E16-4as_v4', 'Standard_DS5_v2', 'Standard_D96a_v4', 'Standard_D48s_v4', 'Standard_E64-16ds_v4', 'Standard_D2d_v4', 'Standard_E64-32s_v4', 'Standard_GS5', 'Standard_D32ds_v4', 'Standard_E8d_v4', 'Standard_D64d_v4', 'Standard_D16ds_v5', 'Standard_E64-32s_v3', 'Standard_D32s_v5', 'Standard_M8-4ms', 'Standard_D4_v3', 'Standard_D5_v2', 'Standard_A5', 'Standard_M208s_v2', 'Standard_E32as_v4', 'Standard_M416-208s_v2', 'Standard_M416-104s_v2', 'Standard_DS3_v2', 'Standard_M192ids_v2', 'Standard_E4-2as_v4', 'Standard_M128-32ms', 'Standard_NC24s_v3', 'Standard_D15_v2', 'Standard_E32d_v4', 'Standard_D2_v3', 'Standard_E16-8s_v3', 'Standard_M416is_v2', 'Standard_A1', 'Standard_D16_v3', 'Standard_E32_v4', 'Standard_F8s', 'Standard_L88is_v2', 'Standard_E2s_v3', 'Standard_M208-104s_v2', 'Standard_F16s_v2', 'Standard_E16_v4', 'Standard_E16d_v5', 'Standard_A2_v2', 'Standard_E48as_v4', 'Standard_E8-2s_v3', 'Standard_E4s_v4', 'Standard_D32as_v4', 'Standard_M32s', 'Standard_D64_v4', 'Standard_E4_v5', 'Standard_NC8as_T4_v3', 'Standard_E20_v3', 'Standard_D4d_v4', 'Standard_E8as_v4', 'Standard_E80ids_v4', 'Standard_M128-64ms', 'Standard_E2_v4', 'Standard_D96s_v5', 'Standard_E4_v4', 'Standard_D8s_v4', 'Standard_M208-52ms_v2', 'Standard_D8ds_v5', 'Standard_M128ds_v2', 'Standard_E48d_v4', 'Standard_D14_v2', 'Standard_E8-4ds_v4', 'Standard_GS4', 'Standard_E16ds_v4', 'Standard_E2d_v5', 'Standard_M208ms_v2', 'Standard_D4_v4', 'Standard_M16ms', 'Standard_L4s', 'Standard_D16s_v4', 'Standard_D8s_v5', 'Standard_M32ms', 'Standard_D2_v2', 'Standard_M64s', 'Standard_DS1_v2', 'Standard_D16d_v5', 'Standard_F72s_v2', 'Standard_A2', 'Standard_M128s_v2', 'Standard_NC64as_T4_v3', 'Standard_E96d_v5', 'Standard_E16as_v4', 'Standard_M8-2ms', 'Standard_D64ds_v4', 'Standard_D4d_v5', 'Standard_E4_v3', 'Standard_D12', 'Standard_D4_v5', 'Standard_E16_v5', 'Standard_DS4_v2', 'Standard_E64_v3', 'Standard_M32ls', 'Standard_G1', 'Standard_E8ds_v4', 'Standard_E8_v3', 'Basic_A3', 'Standard_E16-4ds_v4', 'Standard_A8_v2', 'Standard_F2', 'Standard_D48a_v4', 'Standard_E20a_v4', 'Standard_D64s_v4', 'Standard_M16-4ms', 'Standard_E32s_v3', 'Standard_M128m', 'Standard_DS11_v2', 'Standard_E8s_v3', 'Standard_D96_v5', 'Standard_NV24', 'Standard_D2a_v4', 'Standard_M128', 'Standard_M208-52s_v2', 'Standard_E16s_v3', 'Standard_D4_v2', 'Standard_M8ms', 'Standard_M416-208ms_v2', 'Standard_D8s_v3', 'Standard_D16d_v4', 'Standard_E8-2as_v4', 'Standard_A8m_v2', 'Standard_D64_v3', 'Standard_D48as_v4', 'Standard_M128ms_v2', 'Standard_DS13_v2', 'Standard_D48s_v3', 'Standard_DS1', 'Standard_E16-8ds_v4', 'Standard_M64ms_v2', 'Standard_E4ds_v4', 'Standard_E96_v5', 'Standard_F4s', 'Standard_E16-8as_v4', 'Standard_F48s_v2', 'Standard_D16as_v4', 'Standard_E80is_v4', 'Standard_GS1', 'Standard_D2', 'Standard_M64-16ms', 'Standard_F32s_v2', 'Standard_DS14_v2', 'Standard_D2s_v3', 'Standard_NV4as_v4', 'Standard_NV12s_v3', 'Standard_D32-8s_v3', 'Standard_E64-32ds_v4', 'Standard_D16s_v3', 'Standard_E48_v4', 'Standard_M416ms_v2', 'Standard_D2_v4', 'Standard_D96d_v5', 'Standard_E8_v4', 'Standard_D48ds_v4', 'Standard_D2ds_v5', 'Standard_M64s_v2', 'Standard_NC24rs_v3', 'Standard_E4d_v4', 'Standard_E32d_v5', 'Standard_F8', 'Standard_M16-8ms', 'Basic_A0', 'Standard_E20ds_v4', 'Standard_E96-24as_v4', 'Standard_D4s_v4', 'Standard_D13_v2', 'Standard_NV32as_v4', 'Standard_NV8as_v4', 'Standard_E8d_v5', 'Standard_E8-4s_v3', 'Standard_D16_v5', 'Standard_DS12-2_v2', 'Standard_E8-4s_v4', 'Standard_E16-8s_v4', 'Standard_E32-16s_v4', 'Standard_D48_v3', 'Standard_D4s_v3', 'Standard_F4s_v2', 'Standard_D4a_v4', 'Standard_E32-16as_v4', 'Standard_DS11', 'Standard_E4as_v4', 'Standard_D2as_v4', 'Standard_E32-8s_v3', 'Standard_E20s_v3', 'Standard_DS14-4_v2', 'Standard_E2_v5', 'Standard_M64ds_v2', 'Standard_D32_v3', 'Standard_D16a_v4', 'Standard_E64is_v3', 'Standard_E32_v3', 'Standard_L64s_v2', 'Standard_DS4', 'Standard_GS3', 'Standard_E8-2ds_v4', 'Standard_D4', 'Standard_M32-8ms', 'Standard_G4', 'Standard_E2ds_v4', 'Standard_M64ms', 'Standard_E16d_v4', 'Standard_D32a_v4', 'Standard_E32s_v4', 'Standard_D4as_v4', 'Standard_E4a_v4', 'Standard_M64m', 'Basic_A4', 'Standard_D48_v4', 'Standard_D64d_v5', 'Standard_NC24', 'Standard_E32-8s_v4', 'Standard_M128dms_v2', 'Standard_NV16as_v4', 'Standard_E64ds_v4', 'Standard_D8ds_v4', 'Standard_E16-4s_v4', 'Standard_E16s_v4', 'Standard_DS3', 'Standard_NC4as_T4_v3', 'Standard_A4_v2', 'Standard_A1_v2', 'Standard_DS13-2_v2', 'Standard_D2s_v4', 'Standard_E32a_v4', 'Standard_E48ds_v4', 'Standard_NC24r', 'Standard_D64-32s_v3', 'Standard_L8s_v2', 'Standard_NC12s_v3', 'Standard_E4-2s_v3', 'Standard_E8-4as_v4', 'Standard_D8d_v4', 'Standard_M64', 'Standard_E64as_v4', 'Standard_NC6', 'Standard_DS2', 'Standard_E2as_v4', 'Standard_E64d_v4', 'Standard_M32ts', 'Standard_NV48s_v3', 'Standard_F16s', 'Standard_E20d_v5'],
'westus': ['Standard_E16a_v4', 'Standard_D4_v2', 'Standard_D96a_v4', 'Standard_L64s_v2', 'Standard_E96a_v4', 'Standard_D1_v2', 'Standard_E20ds_v4', 'Standard_G1', 'Standard_E16-8s_v3', 'Standard_DC1s_v2', 'Standard_D8ds_v4', 'Standard_D48ds_v4', 'Standard_NV12s_v3', 'Standard_E32s_v3', 'Standard_DS3', 'Standard_D48ds_v5', 'Standard_A2_v2', 'Standard_D8s_v5', 'Standard_D16a_v4', 'Basic_A4', 'Standard_D32_v4', 'Standard_D2a_v4', 'Standard_A2', 'Standard_F64s_v2', 'Standard_D64s_v5', 'Standard_M128s', 'Standard_D32s_v5', 'Standard_E20_v5', 'Standard_D16d_v4', 'Standard_E4-2as_v4', 'Standard_E96_v5', 'Standard_F16', 'Standard_M64s_v2', 'Standard_E48s_v3', 'Standard_M32s', 'Standard_M208-104s_v2', 'Standard_D4d_v5', 'Standard_D64as_v4', 'Standard_M32ms', 'Standard_M128ms', 'Standard_D4a_v4', 'Standard_D32_v5', 'Standard_D16d_v5', 'Standard_M416-104s_v2', 'Standard_DS14_v2', 'Standard_L32s_v2', 'Standard_E8s_v3', 'Standard_F8s', 'Standard_E20as_v4', 'Standard_E20_v3', 'Standard_D15i_v2', 'Standard_E16-4s_v4', 'Standard_A0', 'Standard_M416ms_v2', 'Standard_M128s_v2', 'Standard_D8_v5', 'Standard_E80ids_v4', 'Standard_DS11_v2', 'Standard_E32_v3', 'Standard_DS14', 'Standard_D4d_v4', 'Standard_M64ms_v2', 'Standard_F4', 'Standard_D32s_v4', 'Standard_E4s_v4', 'Standard_E20s_v4', 'Standard_M16-8ms', 'Standard_F2s_v2', 'Standard_NC6s_v3', 'Standard_M416-104ms_v2', 'Standard_M192ids_v2', 'Standard_E16-8s_v4', 'Standard_E64_v5', 'Standard_E4d_v4', 'Standard_H8', 'Standard_D2ds_v5', 'Standard_DS1_v2', 'Standard_A11', 'Standard_M64dms_v2', 'Standard_F16s_v2', 'Standard_E64-16s_v4', 'Standard_D96d_v5', 'Standard_DS4', 'Standard_D8as_v4', 'Standard_E32-8s_v4', 'Standard_D1', 'Standard_E8s_v4', 'Standard_E16d_v4', 'Standard_M128-64ms', 'Standard_E64-32as_v4', 'Standard_D32_v3', 'Standard_DS11-1_v2', 'Standard_E48d_v5', 'Standard_G5', 'Standard_E2d_v5', 'Standard_E4as_v4', 'Standard_A4m_v2', 'Standard_E32as_v4', 'Standard_E8-2s_v4', 'Standard_D8d_v5', 'Standard_DS11', 'Standard_D16s_v4', 'Standard_D16_v5', 'Standard_D64ds_v4', 'Standard_F48s_v2', 'Standard_E80is_v4', 'Standard_D2as_v4', 'Standard_D2_v5', 'Standard_M208-52ms_v2', 'Standard_D2d_v4', 'Standard_NC8as_T4_v3', 'Standard_E16s_v3', 'Standard_E8-4s_v4', 'Standard_E8-2ds_v4', 'Standard_M64-16ms', 'Standard_E64a_v4', 'Standard_M16s', 'Standard_D2_v2', 'Basic_A1', 'Standard_D4_v4', 'Standard_E4d_v5', 'Standard_E64-16as_v4', 'Standard_GS3', 'Standard_D48d_v5', 'Standard_GS4-4', 'Standard_F4s', 'Standard_F1s', 'Standard_M416s_v2', 'Standard_M16-4ms', 'Standard_E20s_v3', 'Standard_D64ds_v5', 'Standard_D16s_v5', 'Standard_F72s_v2', 'Standard_D14', 'Standard_M64ds_v2', 'Standard_GS5-8', 'Standard_D64-16s_v3', 'Standard_E20_v4', 'Standard_D16ds_v5', 'Standard_E64i_v3', 'Standard_D96s_v5', 'Standard_D3_v2', 'Standard_M128-32ms', 'Standard_D16as_v4', 'Standard_D96as_v4', 'Standard_E16_v4', 'Standard_DC8_v2', 'Standard_E16-4s_v3', 'Standard_DS1', 'Standard_D64d_v4', 'Standard_L4s', 'Standard_A3', 'Standard_D12', 'Standard_DS5_v2', 'Standard_E96d_v5', 'Standard_E32-16s_v3', 'Standard_M8-2ms', 'Standard_D32ds_v4', 'Standard_NC12s_v3', 'Standard_A10', 'Standard_E2a_v4', 'Standard_D8_v3', 'Standard_E20d_v4', 'Standard_E32_v4', 'Standard_E2_v5', 'Standard_D4ds_v4', 'Standard_F16s', 'Standard_D4ds_v5', 'Standard_D32d_v5', 'Standard_E8_v4', 'Standard_DS13-4_v2', 'Standard_H8m', 'Standard_E64-32s_v3', 'Standard_D12_v2', 'Standard_D4_v5', 'Standard_A8_v2', 'Standard_E48_v3', 'Standard_M64m', 'Standard_A7', 'Standard_DS4_v2', 'Standard_DS14-8_v2', 'Standard_E48_v5', 'Standard_D16ds_v4', 'Standard_L32s', 'Standard_E16ds_v4', 'Standard_D8s_v4', 'Standard_E32a_v4', 'Standard_L88is_v2', 'Standard_E96-48as_v4', 'Standard_D48s_v4', 'Standard_E8_v3', 'Standard_D48_v4', 'Standard_E8-4s_v3', 'Standard_D2', 'Standard_E4a_v4', 'Standard_A6', 'Standard_E64-32ds_v4', 'Standard_E32s_v4', 'Standard_E32-16as_v4', 'Standard_A4', 'Standard_D4s_v3', 'Standard_D96_v5', 'Standard_M192is_v2', 'Standard_E2as_v4', 'Standard_E64-32s_v4', 'Standard_D2s_v3', 'Standard_M32-16ms', 'Standard_DS12-1_v2', 'Standard_D4s_v4', '', 'Standard_E64d_v4', 'Standard_E2s_v3', 'Basic_A0', 'Standard_GS1', 'Standard_D48_v5', 'Standard_D32a_v4', 'Standard_E16s_v4', 'Basic_A3', 'Standard_E32-8s_v3', 'Standard_NC24s_v3', 'Standard_E8-4as_v4', 'Standard_D96ds_v5', 'Standard_D64_v5', 'Standard_D5_v2', 'Standard_E64s_v3', 'Standard_E16-4ds_v4', 'Standard_E2_v3', 'Standard_H16m', 'Standard_E48a_v4', 'Standard_D64a_v4', 'Standard_DS12', 'Standard_E8ds_v4', 'Standard_D8ds_v5', 'Standard_D16s_v3', 'Standard_D32s_v3', 'Standard_D2d_v5', 'Standard_M32ms_v2', 'Standard_D13', 'Standard_M64s', 'Standard_E8d_v5', 'Standard_E64-16s_v3', 'Standard_D32as_v4', 'Standard_E2d_v4', 'Standard_D4s_v5', 'Standard_E48as_v4', 'Standard_F8s_v2', 'Standard_DS15_v2', 'Standard_D4_v3', 'Standard_M32ls', 'Standard_F32s_v2', 'Standard_A1', 'Standard_G2', 'Standard_M32ts', 'Standard_E16d_v5', 'Standard_D4', 'Standard_D8a_v4', 'Standard_A2m_v2', 'Standard_NV12s_v2', 'Standard_GS5', 'Standard_NC64as_T4_v3', 'Standard_DS2_v2', 'Standard_D16_v4', 'Standard_E16_v3', 'Standard_D16_v3', 'Standard_D64d_v5', 'Standard_NV6s_v2', 'Standard_E8-4ds_v4', 'Standard_E8_v5', 'Standard_E20d_v5', 'Standard_E32-8ds_v4', 'Standard_E32-16s_v4', 'Standard_E4ds_v4', 'Standard_M8-4ms', 'Standard_DS13_v2', 'Standard_D2s_v4', 'Standard_E96as_v4', 'Standard_E64ds_v4', 'Standard_E4s_v3', 'Standard_D32ds_v5', 'Standard_D11', 'Standard_D2s_v5', 'Standard_E64d_v5', 'Standard_F4s_v2', 'Standard_A8', 'Standard_M208-52s_v2', 'Standard_E4-2s_v4', 'Standard_GS2', 'Standard_E20a_v4', 'Standard_D32-8s_v3', 'Standard_E32ds_v4', 'Standard_H16r', 'Standard_M128ds_v2', 'Standard_D14_v2', 'Standard_E48_v4', 'Standard_D48s_v5', 'Standard_M128ms_v2', 'Standard_D2_v3', 'Standard_NV48s_v3', 'Standard_E8as_v4', 'Standard_E16-8as_v4', 'Standard_GS4', 'Standard_D2_v4', 'Standard_M16ms', 'Standard_G4', 'Standard_M208ms_v2', 'Standard_M416is_v2', 'Standard_E8d_v4', 'Standard_DS3_v2', 'Standard_DS13-2_v2', 'Standard_E2_v4', 'Standard_D64s_v4', 'Standard_D48s_v3', 'Standard_D64-32s_v3', 'Standard_D32-16s_v3', 'Standard_E4_v5', 'Standard_L16s', 'Standard_E48s_v4', 'Standard_E4_v4', 'Standard_D48as_v4', 'Standard_DS13', 'Standard_NC16as_T4_v3', 'Standard_E16-4as_v4', 'Standard_D8_v4', 'Standard_NV24s_v2', 'Standard_D48d_v4', 'Standard_L48s_v2', 'Standard_D11_v2', 'Standard_E4_v3', 'Standard_D48_v3', 'Standard_DC2s_v2', 'Standard_E8-2s_v3', 'Standard_DS14-4_v2', 'Standard_M32dms_v2', 'Standard_E48d_v4', 'Standard_E4-2s_v3', 'Standard_L8s', 'Standard_E32-16ds_v4', 'Standard_D64_v3', 'Standard_D8s_v3', 'Standard_L16s_v2', 'Standard_E64is_v3', 'Standard_D64s_v3', 'Standard_E16-8ds_v4', 'Standard_A8m_v2', 'Standard_E32-8as_v4', 'Standard_DS12_v2', 'Standard_NC4as_T4_v3', 'Standard_E64_v3', 'Standard_GS5-16', 'Standard_A1_v2', 'Standard_A5', 'Standard_NV24s_v3', 'Standard_D2ds_v4', 'Standard_E2s_v4', 'Standard_D4as_v4', 'Standard_M192idms_v2', 'Standard_E64-16ds_v4', 'Standard_M192ims_v2', 'Standard_DC4s_v2', 'Standard_D3', 'Standard_E32_v5', 'Standard_D8d_v4', 'Standard_E96-24as_v4', 'Standard_F8', 'Standard_L96s_v2', 'Standard_DS2', 'Standard_E64_v4', 'Standard_D13_v2', 'Standard_E16as_v4', 'Standard_E16_v5', 'Standard_E2ds_v4', 'Standard_NC24rs_v3', 'Standard_A4_v2', 'Standard_M64ls', 'Standard_D48a_v4', 'Standard_F2', 'Standard_M64ms', 'Standard_DS12-2_v2', 'Standard_E32d_v5', 'Standard_M64', 'Standard_E48ds_v4', 'Standard_M208s_v2', 'Standard_E8-2as_v4', 'Standard_M416-208ms_v2', 'Standard_M208-104ms_v2', 'Standard_G3', 'Standard_M8ms', 'Standard_F1', 'Standard_GS4-8', 'Standard_M64-32ms', 'Standard_A9', 'Standard_D32d_v4', 'Standard_M416-208s_v2', 'Standard_M128', 'Standard_F2s', 'Standard_E64s_v4', 'Standard_D64_v4', 'Standard_E32d_v4', 'Standard_H16mr', 'Standard_L8s_v2', 'Basic_A2', 'Standard_DS15i_v2', 'Standard_L80s_v2', 'Standard_D15_v2', 'Standard_H16', 'Standard_E8a_v4', 'Standard_M128dms_v2', 'Standard_E64as_v4', 'Standard_E4-2ds_v4', 'Standard_M32-8ms', 'Standard_M128m'],
'westus2': ['Standard_D16ds_v4', 'Standard_E4d_v5', 'Standard_E8ds_v4', 'Standard_H16mr', 'Standard_E8-4ds_v4', 'Standard_E2d_v4', 'Standard_NC12s_v3', 'Standard_E48a_v4', 'Standard_M8ms', 'Standard_M208-104ms_v2', 'Standard_NC24', 'Standard_DS13-4_v2', 'Standard_D32s_v3', 'Standard_D96as_v4', 'Standard_E16s_v3', 'Standard_A2_v2', 'Standard_DC2s_v2', 'Standard_E20as_v4', 'Standard_F2s', 'Standard_E2s_v3', 'Standard_M208ms_v2', 'Standard_A4_v2', 'Standard_M416ms_v2', 'Standard_PB12s', 'Standard_D8d_v4', 'Standard_D8s_v4', 'Standard_L88is_v2', 'Standard_E4-2s_v3', 'Standard_E4-2as_v4', 'Standard_E96_v5', 'Standard_A5', 'Standard_E64s_v3', 'Standard_D32a_v4', 'Standard_D48_v5', 'Standard_M416-104s_v2', 'Standard_D48s_v5', 'Standard_D2s_v3', 'Standard_D96s_v5', 'Standard_D2_v3', 'Standard_M416s_v2', 'Standard_E64i_v3', 'Standard_E48_v3', 'Standard_D4s_v3', 'Standard_F8', 'Standard_A3', 'Standard_E32-16as_v4', 'Standard_M416-104ms_v2', 'Standard_D64_v5', 'Standard_DC1s_v2', 'Standard_E64a_v4', 'Standard_E20_v5', 'Standard_L8s_v2', 'Standard_E32ds_v4', 'Standard_E8_v4', 'Standard_D2s_v4', 'Standard_GS5-16', 'Standard_A4', 'Standard_E32a_v4', 'Standard_D12_v2', 'Basic_A3', 'Standard_A2', 'Standard_M32ls', 'Standard_E8s_v4', 'Standard_A4m_v2', 'Standard_NC24r', 'Standard_NC8as_T4_v3', 'Standard_E8d_v5', 'Standard_M64ms', 'Standard_E2_v5', 'Standard_D15i_v2', 'Standard_E64-32as_v4', 'Standard_D11_v2', 'Standard_E32_v3', 'Standard_E48d_v4', 'Standard_E8_v3', 'Standard_D4_v5', 'Standard_E32-16s_v3', 'Standard_A6', 'Standard_M192idms_v2', 'Standard_D8s_v3', 'Standard_D2_v2', 'Standard_M32-8ms', 'Standard_E32-8ds_v4', 'Standard_E16ds_v4', 'Standard_M208-52s_v2', 'Standard_E64d_v4', 'Standard_NC24s_v3', 'Standard_D32d_v5', 'Standard_M64-32ms', 'Standard_A1_v2', 'Standard_H16', 'Standard_E64-16ds_v4', 'Standard_E96d_v5', 'Standard_DS14_v2', 'Standard_D64ds_v4', 'Standard_D16ds_v5', 'Standard_E4_v3', 'Standard_NC24rs_v2', 'Standard_G2', 'Standard_GS2', 'Standard_E8-2as_v4', 'Standard_E4_v4', 'Standard_E20_v3', 'Standard_E64-16s_v4', 'Standard_NC16as_T4_v3', 'Standard_NV4as_v4', 'Standard_E16as_v4', 'Standard_L48s_v2', 'Standard_E32d_v5', 'Standard_NC64as_T4_v3', 'Standard_DS3_v2', 'Standard_DS14-8_v2', 'Standard_E2a_v4', 'Standard_F4s', 'Standard_D48s_v3', 'Standard_F2', 'Standard_M64', 'Standard_M64ls', 'Standard_E16d_v5', 'Standard_E64as_v4', 'Standard_DS13_v2', 'Standard_D32_v3', 'Standard_M64ds_v2', 'Standard_E4s_v4', 'Standard_DS12-1_v2', 'Standard_E2s_v4', 'Standard_M64s', 'Standard_NV8as_v4', 'Standard_DS11-1_v2', 'Standard_E64-32s_v3', 'Standard_D4s_v5', 'Standard_E16-8ds_v4', 'Standard_E8-4s_v3', 'Standard_D2ds_v5', 'Standard_E20s_v3', 'Standard_E48_v5', 'Standard_NC6s_v2', 'Standard_D48ds_v5', 'Standard_E2_v4', 'Standard_F32s_v2', 'Standard_E8a_v4', 'Standard_E80ids_v4', 'Standard_D4ds_v5', 'Standard_E16-8s_v4', 'Standard_L16s', 'Standard_DS13-2_v2', 'Standard_D64s_v5', 'Standard_D14_v2', 'Standard_E16s_v4', 'Standard_D96d_v5', 'Standard_E2d_v5', 'Standard_D16_v5', 'Standard_E16-4ds_v4', 'Standard_D48d_v5', 'Standard_L4s', 'Standard_E80is_v4', 'Standard_E64d_v5', 'Standard_E16-8s_v3', 'Standard_D64s_v3', 'Standard_E64-16as_v4', 'Standard_E16a_v4', 'Standard_D16d_v4', 'Standard_E20a_v4', 'Standard_ND40rs_v2', 'Standard_D64-32s_v3', 'Standard_E4ds_v4', 'Standard_D64_v4', '', 'Standard_D64a_v4', 'Standard_D8ds_v4', 'Standard_E8as_v4', 'Standard_E16-4as_v4', 'Standard_NC12s_v2', 'Standard_D32as_v4', 'Standard_E32_v5', 'Standard_G3', 'Standard_A1', 'Standard_E4-2ds_v4', 'Standard_D32s_v4', 'Standard_NV12s_v3', 'Standard_HC44rs', 'Standard_D2_v4', 'Standard_L80s_v2', 'Standard_M8-2ms', 'Standard_M128s', 'Standard_D4_v3', 'Standard_E64s_v4', 'Standard_NV48s_v3', 'Standard_E16-4s_v3', 'Standard_DS12-2_v2', 'Standard_D4d_v4', 'Standard_F72s_v2', 'Standard_L8s', 'Standard_D16s_v4', 'Standard_D16_v3', 'Standard_M32s', 'Standard_M32ms_v2', 'Standard_E4s_v3', 'Standard_D8as_v4', 'Standard_GS5-8', 'Standard_E64-16s_v3', 'Standard_D16s_v5', 'Standard_D16_v4', 'Standard_E8s_v3', 'Standard_D8_v3', 'Standard_NV16as_v4', 'Standard_D16d_v5', 'Standard_E16_v4', 'Standard_D32ds_v4', 'Standard_D64d_v4', 'Standard_E32as_v4', 'Standard_M64s_v2', 'Standard_E32s_v4', 'Standard_G4', 'Standard_E48d_v5', 'Standard_DC8_v2', 'Standard_DS4_v2', 'Standard_ND96asr_A100_v4', 'Standard_D32_v4', 'Standard_NV24', 'Standard_D8d_v5', 'Standard_D4d_v5', 'Standard_ND6s', 'Standard_E4-2s_v4', 'Standard_D64d_v5', 'Standard_G5', 'Standard_E16_v5', 'Standard_F1s', 'Standard_D32s_v5', 'Standard_D48d_v4', 'Standard_M128ds_v2', 'Standard_E4as_v4', 'Standard_E4d_v4', 'Standard_E16_v3', 'Standard_NP40s', 'Standard_NV24s_v3', 'Standard_D2ds_v4', 'Standard_E20d_v5', 'Standard_NV12', 'Standard_M64ms_v2', 'Standard_D96ds_v5', 'Standard_M208s_v2', 'Standard_E16-4s_v4', 'Standard_M208-104s_v2', 'Standard_E8d_v4', 'Standard_F4', 'Standard_E32-16ds_v4', 'Standard_M416-208s_v2', 'Standard_L32s_v2', 'Standard_E20_v4', 'Standard_L64s_v2', 'Basic_A0', 'Standard_M192is_v2', 'Standard_E32-8s_v3', 'Standard_D8_v5', 'Standard_M32ts', 'Standard_E64-32ds_v4', 'Standard_E48_v4', 'Standard_F48s_v2', 'Standard_GS1', 'Standard_E48ds_v4', 'Standard_D64ds_v5', 'Standard_E4_v5', 'Standard_L32s', 'Standard_D48_v3', 'Standard_D32_v5', 'Standard_D4s_v4', 'Standard_M64-16ms', 'Standard_NC24s_v2', 'Standard_D16s_v3', 'Standard_H16r', 'Standard_PB6s', 'Standard_E32-16s_v4', 'Standard_D8a_v4', 'Standard_DS12_v2', 'Standard_DS15i_v2', 'Standard_NC6s_v3', 'Standard_E96as_v4', 'Standard_NC4as_T4_v3', 'Standard_E32-8as_v4', 'Standard_A8m_v2', 'Standard_H16m', 'Standard_F16s', 'Standard_M32dms_v2', 'Standard_E8-4s_v4', 'Standard_NC6', 'Standard_E2ds_v4', 'Standard_GS4-4', 'Standard_M16-4ms', 'Standard_DC4s_v2', 'Standard_D4as_v4', 'Standard_M64dms_v2', 'Standard_M8-4ms', 'Standard_E8_v5', 'Standard_D48a_v4', 'Standard_E64_v5', 'Standard_M416is_v2', 'Standard_D48_v4', 'Standard_D16a_v4', 'Standard_M128dms_v2', 'Standard_M208-52ms_v2', 'Standard_PB24s', 'Standard_ND96asr_v4', 'Standard_A0', 'Standard_D96_v5', 'Standard_F16s_v2', 'Standard_M128-32ms', 'Standard_M128s_v2', 'Standard_NC24rs_v3', 'Standard_E16d_v4', 'Standard_D5_v2', 'Standard_M16-8ms', 'Standard_D4ds_v4', 'Standard_DS5_v2', 'Standard_D2a_v4', 'Standard_D96a_v4', 'Standard_H8', 'Standard_D64-16s_v3', 'Standard_M128ms', 'Standard_E4a_v4', 'Standard_DS15_v2', 'Standard_D8s_v5', 'Standard_GS5', 'Standard_ND12s', 'Standard_E64_v3', 'Standard_E2_v3', 'Standard_NV6', 'Standard_ND24s', 'Standard_DS1_v2', 'Standard_F4s_v2', 'Standard_GS4', 'Standard_E20d_v4', 'Standard_D48ds_v4', 'Standard_HB120rs_v2', 'Standard_G1', 'Standard_M128ms_v2', 'Standard_D48s_v4', 'Standard_E8-4as_v4', 'Standard_M416-208ms_v2', 'Standard_E8-2s_v4', 'Standard_DS11_v2', 'Standard_E8-2s_v3', 'Standard_NP20s', 'Standard_A8_v2', 'Standard_M32-16ms', 'Standard_D4_v4', 'Standard_L16s_v2', 'Standard_F8s_v2', 'Basic_A4', 'Standard_E20ds_v4', 'Standard_M128-64ms', 'Standard_D2d_v5', 'Standard_D48as_v4', 'Standard_D32-16s_v3', 'Standard_E64is_v3', 'Standard_D2d_v4', 'Standard_F64s_v2', 'Standard_E20s_v4', 'Standard_DS14-4_v2', 'Standard_E2as_v4', 'Standard_D32-8s_v3', 'Standard_ND24rs', 'Standard_E64ds_v4', 'Standard_A2m_v2', 'Standard_HC44-16rs', 'Standard_NC12', 'Standard_D13_v2', 'Standard_D3_v2', 'Standard_M128', 'Standard_D4a_v4', 'Standard_E64_v4', 'Standard_F16', 'Standard_E48s_v4', 'Standard_DS2_v2', 'Standard_D32d_v4', 'Standard_HC44-32rs', 'Standard_NP10s', 'Standard_NV32as_v4', 'Standard_A7', 'Standard_GS4-8', 'Standard_D32ds_v5', 'Standard_E16-8as_v4', 'Standard_E96a_v4', 'Standard_E48as_v4', 'Standard_E96-48as_v4', 'Standard_D2_v5', 'Standard_D64s_v4', 'Standard_F8s', 'Standard_D2s_v5', 'Standard_M16s', 'Standard_D15_v2', 'Standard_D1_v2', 'Standard_D16as_v4', 'Standard_D8_v4', 'Standard_E32d_v4', 'Standard_D2as_v4', 'Standard_D8ds_v5', 'Basic_A1', 'Standard_M128m', 'Standard_E96-24as_v4', 'Standard_M32ms', 'Standard_E32s_v3', 'Standard_M192ids_v2', 'Standard_H8m', 'Standard_E48s_v3', 'Standard_F1', 'Standard_M16ms', 'Standard_F2s_v2', 'Standard_GS3', 'Standard_D64as_v4', 'Standard_M192ims_v2', 'Standard_E32-8s_v4', 'Standard_E32_v4', 'Standard_E8-2ds_v4', 'Basic_A2', 'Standard_D64_v3', 'Standard_E64-32s_v4', 'Standard_D4_v2', 'Standard_M64m'],
'northcentralus': ['Standard_D48s_v4', 'Standard_D32as_v4', 'Standard_E4a_v4', 'Standard_E16s_v3', 'Standard_D2s_v5', 'Standard_D48ds_v5', 'Standard_E64-32ds_v4', 'Standard_M64dms_v2', 'Standard_D4_v3', 'Standard_D64s_v5', 'Standard_E64-16s_v3', 'Standard_D8s_v3', 'Standard_E64-16ds_v4', 'Standard_NC4as_T4_v3', 'Standard_D8ds_v4', 'Standard_E32_v3', 'Standard_NV32as_v4', 'Standard_D8as_v4', 'Standard_M128-32ms', 'Standard_E16-4s_v3', 'Standard_H16m', 'Standard_M64ms_v2', 'Standard_E64-32s_v4', 'Standard_D2ds_v5', 'Standard_D48as_v4', 'Standard_E8-4as_v4', 'Standard_M32ms', 'Standard_H16mr', 'Standard_E2_v5', 'Standard_M208ms_v2', 'Standard_M416-104s_v2', 'Standard_D48_v3', 'Standard_E32s_v3', 'Standard_E4d_v5', 'Standard_E64is_v3', 'Basic_A1', 'Standard_M208-52ms_v2', 'Standard_D8d_v4', 'Standard_DS13-4_v2', 'Standard_D4s_v5', 'Standard_DS1_v2', 'Standard_NV24', 'Standard_E64as_v4', 'Standard_F8s_v2', 'Standard_DS1', 'Standard_D14_v2', 'Standard_E32-16s_v4', 'Standard_E48s_v4', 'Standard_DS12_v2', 'Standard_D64ds_v5', 'Standard_E8ds_v4', 'Standard_DS14', 'Standard_M8ms', 'Standard_M64-32ms', 'Standard_D2d_v4', 'Standard_D11_v2', 'Standard_D32-8s_v3', 'Standard_E16-8s_v4', 'Standard_E48a_v4', 'Standard_D4as_v4', 'Standard_F2s_v2', 'Standard_DS11_v2', 'Standard_D13', 'Standard_D4_v5', 'Standard_E16-8as_v4', 'Standard_E8_v5', 'Standard_D2as_v4', 'Standard_DS12-1_v2', 'Standard_DC1s_v2', 'Standard_F8s', 'Standard_M32dms_v2', 'Standard_D64-16s_v3', 'Standard_NC8as_T4_v3', 'Standard_A7', 'Standard_M192ids_v2', 'Standard_DS13-2_v2', 'Standard_M128ms', 'Standard_DS14_v2', 'Standard_M128ms_v2', 'Standard_E16ds_v4', 'Standard_E32s_v4', 'Standard_E4s_v4', 'Standard_E80is_v4', 'Standard_M16s', 'Standard_D4_v4', 'Standard_D96_v5', 'Standard_DS3_v2', 'Standard_E20_v5', 'Standard_E32-8ds_v4', 'Standard_E64_v4', 'Standard_D4s_v4', 'Standard_E32-8s_v4', 'Standard_D48d_v4', 'Standard_E32ds_v4', 'Standard_D48s_v5', 'Standard_E20d_v5', 'Standard_D1_v2', 'Standard_E64s_v4', 'Standard_E4_v5', 'Standard_M416-208s_v2', 'Standard_E2s_v3', 'Standard_E8-4ds_v4', 'Standard_E48_v5', 'Standard_D8_v5', 'Standard_E8-2as_v4', 'Standard_F8', 'Standard_E64-16s_v4', 'Standard_DS12', 'Standard_M192is_v2', 'Standard_D8d_v5', 'Standard_D8s_v5', 'Standard_D16_v3', 'Standard_D16d_v4', 'Standard_D16s_v4', 'Standard_D2d_v5', 'Standard_A11', 'Standard_E8-2ds_v4', 'Standard_D32ds_v5', 'Standard_A2m_v2', 'Standard_D4a_v4', 'Standard_E32_v4', 'Standard_F16', 'Standard_M64ls', 'Standard_D3', 'Standard_M128dms_v2', 'Standard_DS15_v2', 'Standard_D64_v5', 'Standard_M128m', 'Standard_D48ds_v4', 'Standard_M128ds_v2', 'Standard_E16a_v4', 'Standard_A8', 'Standard_DS5_v2', 'Standard_D32-16s_v3', 'Standard_A4', 'Standard_D4d_v5', 'Standard_A8_v2', 'Standard_E16_v4', 'Standard_M128', 'Standard_E64_v5', 'Standard_D4_v2', 'Standard_M208-104ms_v2', 'Standard_DS3', 'Standard_E16-4as_v4', 'Standard_E48as_v4', 'Standard_H16r', 'Standard_D48_v5', 'Standard_F16s', 'Standard_D4', 'Standard_D96ds_v5', 'Standard_NV4as_v4', 'Standard_M208-52s_v2', 'Basic_A3', 'Standard_M64-16ms', 'Standard_DS2', 'Standard_M16-4ms', 'Standard_M32ts', 'Standard_D64ds_v4', 'Standard_NC24r', 'Standard_DS14-8_v2', '', 'Standard_A6', 'Standard_D32d_v5', 'Standard_E96-24as_v4', 'Standard_E80ids_v4', 'Standard_E20a_v4', 'Standard_A0', 'Standard_D12_v2', 'Standard_M192idms_v2', 'Standard_DS13_v2', 'Standard_D16ds_v5', 'Standard_E48d_v4', 'Standard_E16as_v4', 'Standard_E32a_v4', 'Standard_M32ms_v2', 'Standard_D2_v3', 'Standard_E20ds_v4', 'Standard_M64', 'Standard_F2s', 'Standard_E16_v5', 'Standard_E16-4s_v4', 'Standard_D32a_v4', 'Basic_A0', 'Standard_D2s_v3', 'Standard_E64-16as_v4', 'Standard_M32-8ms', 'Standard_E4d_v4', 'Standard_D64as_v4', 'Standard_NC16as_T4_v3', 'Standard_E48ds_v4', 'Standard_D2', 'Standard_D3_v2', 'Standard_E64d_v4', 'Standard_D32s_v5', 'Standard_F1s', 'Standard_F4s', 'Standard_D16a_v4', 'Standard_HB120rs_v2', 'Standard_D64d_v5', 'Standard_E48s_v3', 'Standard_A3', 'Standard_M416-104ms_v2', 'Standard_D16ds_v4', 'Standard_A1', 'Standard_D5_v2', 'Standard_E4ds_v4', 'Standard_D96a_v4', 'Standard_D4d_v4', 'Standard_E2a_v4', 'Standard_E32_v5', 'Standard_E96_v5', 'Standard_H8m', 'Standard_DS14-4_v2', 'Standard_NV12', 'Standard_E2s_v4', 'Standard_D48_v4', 'Standard_D16as_v4', 'Standard_E96-48as_v4', 'Standard_DS4_v2', 'Standard_DS15i_v2', 'Standard_E8a_v4', 'Standard_D16s_v5', 'Standard_D64d_v4', 'Standard_DS11', 'Standard_D4ds_v4', 'Standard_E8s_v3', 'Standard_D64_v3', 'Standard_DC8_v2', 'Standard_D2ds_v4', 'Standard_E4-2s_v4', 'Standard_E8_v4', 'Standard_E8as_v4', 'Standard_D64s_v3', 'Standard_D8ds_v5', 'Standard_E4-2as_v4', 'Standard_D13_v2', 'Standard_E64i_v3', 'Standard_M32ls', 'Standard_A2', 'Standard_D2_v2', 'Basic_A2', 'Standard_D64a_v4', 'Standard_D15_v2', 'Standard_E20s_v3', 'Standard_E16-8ds_v4', 'Standard_D2_v5', 'Standard_E8d_v5', 'Standard_D32s_v4', 'Standard_DS11-1_v2', 'Standard_E8-4s_v3', 'Standard_E32-16ds_v4', 'Standard_NC6', 'Standard_E2_v4', 'Standard_D32_v4', 'Standard_F64s_v2', 'Standard_M128-64ms', 'Standard_E20as_v4', 'Standard_E16-8s_v3', 'Standard_D48s_v3', 'Standard_E96as_v4', 'Standard_M32s', 'Standard_M416ms_v2', 'Standard_A2_v2', 'Standard_E4-2ds_v4', 'Standard_E48d_v5', 'Standard_M192ims_v2', 'Standard_NV8as_v4', 'Standard_A5', 'Standard_E2_v3', 'Standard_D32s_v3', 'Standard_D8s_v4', 'Standard_D32ds_v4', 'Standard_E4s_v3', 'Standard_E8s_v4', 'Standard_M64s', 'Standard_E8-4s_v4', 'Standard_M128s_v2', 'Standard_E96a_v4', 'Standard_E20_v4', 'Standard_E8-2s_v3', 'Standard_H8', 'Standard_NV16as_v4', 'Standard_D12', 'Standard_H16', 'Standard_D8a_v4', 'Standard_M128s', 'Standard_E4_v3', 'Standard_A10', 'Standard_F4', 'Standard_NV6', 'Standard_M416s_v2', 'Standard_E64-32s_v3', 'Standard_E32d_v5', 'Standard_D4s_v3', 'Standard_E4-2s_v3', 'Standard_D48d_v5', 'Standard_E2as_v4', 'Standard_E64_v3', 'Standard_D2a_v4', 'Standard_E32-8s_v3', 'Standard_D48a_v4', 'Basic_A4', 'Standard_D96d_v5', 'Standard_E8_v3', 'Standard_DC4s_v2', 'Standard_D8_v3', 'Standard_E16_v3', 'Standard_E32d_v4', 'Standard_M64ms', 'Standard_DS2_v2', 'Standard_M16-8ms', 'Standard_DS12-2_v2', 'Standard_D15i_v2', 'Standard_DC2s_v2', 'Standard_E16-4ds_v4', 'Standard_E16s_v4', 'Standard_M32-16ms', 'Standard_D1', 'Standard_E2d_v4', 'Standard_D2_v4', 'Standard_E2d_v5', 'Standard_E64d_v5', 'Standard_F16s_v2', 'Standard_E20s_v4', 'Standard_D64-32s_v3', 'Standard_E8d_v4', 'Standard_DS13', 'Standard_F32s_v2', 'Standard_A4m_v2', 'Standard_D32d_v4', 'Standard_E2ds_v4', 'Standard_D16s_v3', 'Standard_F72s_v2', 'Standard_E16d_v5', 'Standard_F4s_v2', 'Standard_E16d_v4', 'Standard_M208-104s_v2', 'Standard_E64ds_v4', 'Standard_D64_v4', 'Standard_D96s_v5', 'Standard_D96as_v4', 'Standard_E64-32as_v4', 'Standard_M416is_v2', 'Standard_D8_v4', 'Standard_DS4', 'Standard_A4_v2', 'Standard_D16d_v5', 'Standard_F48s_v2', 'Standard_E20_v3', 'Standard_E48_v4', 'Standard_E8-2s_v4', 'Standard_D14', 'Standard_A9', 'Standard_E96d_v5', 'Standard_D4ds_v5', 'Standard_M208s_v2', 'Standard_D11', 'Standard_M8-2ms', 'Standard_E4_v4', 'Standard_M416-208ms_v2', 'Standard_A8m_v2', 'Standard_F1', 'Standard_D32_v3', 'Standard_D2s_v4', 'Standard_E32-16s_v3', 'Standard_D64s_v4', 'Standard_E32-8as_v4', 'Standard_NC64as_T4_v3', 'Standard_D16_v5', 'Standard_M16ms', 'Standard_E32-16as_v4', 'Standard_E64s_v3', 'Standard_D32_v5', 'Standard_F2', 'Standard_NC12', 'Standard_E64a_v4', 'Standard_D16_v4', 'Standard_M64s_v2', 'Standard_E48_v3', 'Standard_M64ds_v2', 'Standard_M8-4ms', 'Standard_A1_v2', 'Standard_E4as_v4', 'Standard_NC24', 'Standard_E32as_v4', 'Standard_E20d_v4', 'Standard_M64m'],
'southcentralus': ['Standard_D48s_v3', 'Standard_D32s_v4', 'Standard_A7', 'Standard_DS2_v2', 'Standard_D32_v3', 'Standard_HC44rs', 'Standard_A8_v2', 'Standard_NC24', 'Standard_D48as_v4', 'Standard_D64_v4', 'Standard_ND24rs', 'Standard_D4', 'Standard_M416-208ms_v2', 'Standard_DS12-1_v2', 'Standard_E16_v3', 'Standard_E20ds_v4', 'Standard_DS13_v2', 'Standard_D32s_v3', 'Standard_DS12_v2', 'Standard_DS11-1_v2', 'Standard_NV16as_v4', 'Standard_E16-8ds_v4', 'Standard_D8s_v3', 'Standard_M128', 'Standard_E8-4ds_v4', 'Standard_D2_v4', 'Standard_E8-4as_v4', 'Standard_A2', 'Standard_D48_v4', 'Standard_M416s_v2', 'Standard_M416-208s_v2', 'Standard_E32s_v3', 'Standard_ND40rs_v2', 'Standard_HB60-15rs', 'Standard_D8s_v4', 'Standard_M416is_v2', 'Standard_A4m_v2', '', 'Standard_D32s_v5', 'Standard_D2_v5', 'Standard_D4d_v5', 'Standard_E16d_v5', 'Standard_F16s_v2', 'Standard_DC4s_v2', 'Standard_D2', 'Standard_E8_v4', 'Standard_NC6s_v2', 'Standard_D64-16s_v3', 'Standard_D8d_v5', 'Basic_A1', 'Standard_E20a_v4', 'Standard_E64-32s_v4', 'Standard_D4as_v4', 'Standard_A8', 'Standard_E4d_v4', 'Standard_M208s_v2', 'Standard_E8-4s_v3', 'Standard_D16d_v4', 'Standard_E8as_v4', 'Standard_E32as_v4', 'Standard_D16ds_v4', 'Standard_NC12s_v3', 'Standard_M32ms_v2', 'Standard_M8-4ms', 'Standard_A11', 'Standard_D32as_v4', 'Standard_E64-16as_v4', 'Standard_M128m', 'Standard_M64ms', 'Standard_D32-16s_v3', 'Standard_E16-4s_v4', 'Standard_A1', 'Standard_A2m_v2', 'Standard_D2s_v4', 'Standard_NV12', 'Standard_A0', 'Standard_D2ds_v5', 'Standard_E8-2ds_v4', 'Standard_D8ds_v5', 'Standard_F4s_v2', 'Standard_F1s', 'Standard_E16d_v4', 'Standard_DS14_v2', 'Standard_DS13-2_v2', 'Standard_DS11_v2', 'Standard_DS15_v2', 'Standard_D8ds_v4', 'Standard_D3', 'Standard_E2s_v3', 'Standard_ND40s_v2', 'Standard_D4_v4', 'Standard_F4', 'Standard_L8s_v2', 'Standard_D3_v2', 'Standard_E4s_v4', 'Standard_D64-32s_v3', 'Standard_E32d_v5', 'Standard_DS11', 'Standard_E16as_v4', 'Standard_E32-16s_v4', 'Standard_DC2s_v2', 'Standard_NV32as_v4', 'Standard_NC64as_T4_v3', 'Standard_E2s_v4', 'Standard_F2s_v2', 'Standard_E16-4as_v4', 'Standard_E16-4ds_v4', 'Standard_D15i_v2', 'Standard_NC6s_v3', 'Standard_M32-8ms', 'Standard_D48d_v4', 'Standard_M128dms_v2', 'Standard_E32-16as_v4', 'Standard_D96_v5', 'Standard_D64s_v5', 'Standard_E80ids_v4', 'Standard_E4-2s_v3', 'Standard_M192ims_v2', 'Standard_D1', 'Standard_HB120rs_v2', 'Standard_D2_v2', 'Standard_NC24s_v3', 'Basic_A4', 'Standard_E8-2s_v4', 'Standard_E96a_v4', 'Standard_D16_v4', 'Standard_E64-16s_v3', 'Standard_E32_v3', 'Standard_E4_v4', 'Standard_ND96asr_v4', 'Standard_E64-32ds_v4', 'Standard_E32s_v4', 'Standard_E4a_v4', 'Standard_D48s_v4', 'Standard_H8m', 'Standard_D2s_v5', 'Standard_M128-64ms', 'Basic_A3', 'Standard_D48ds_v5', 'Standard_E2a_v4', 'Standard_M8-2ms', 'Standard_E8_v3', 'Standard_HB60rs', 'Standard_E4-2as_v4', 'Standard_D11_v2', 'Standard_D2as_v4', 'Standard_D2ds_v4', 'Standard_ND24s', 'Standard_E4ds_v4', 'Standard_D4_v5', 'Standard_M192is_v2', 'Standard_E32d_v4', 'Standard_E64-16s_v4', 'Standard_E8-4s_v4', 'Standard_D32-8s_v3', 'Standard_D1_v2', 'Standard_A4', 'Standard_M16s', 'Standard_HB120rs_v3', 'Standard_M128s_v2', 'Standard_E96-48as_v4', 'Standard_E32-8s_v3', 'Standard_D16_v5', 'Standard_E48as_v4', 'Standard_E48d_v5', 'Standard_A2_v2', 'Standard_E16_v4', 'Standard_H16', 'Standard_E32a_v4', 'Standard_NC24r', 'Basic_A0', 'Standard_E16_v5', 'Standard_E4as_v4', 'Standard_E8s_v4', 'Standard_DS14-8_v2', 'Standard_E16a_v4', 'Standard_E20s_v4', 'Standard_E64_v3', 'Standard_L48s_v2', 'Standard_DS4_v2', 'Standard_L80s_v2', 'Standard_D32_v5', 'Standard_E8_v5', 'Standard_E2_v4', 'Standard_D4d_v4', 'Standard_M32s', 'Standard_M208-104ms_v2', 'Standard_F2s', 'Standard_E2d_v4', 'Standard_M64dms_v2', 'Standard_M64m', 'Standard_D5_v2', 'Standard_DS3_v2', 'Standard_D48_v5', 'Standard_E16-8s_v4', 'Standard_E8d_v5', 'Standard_E20_v5', 'Standard_D96d_v5', 'Standard_F1', 'Standard_D2a_v4', 'Standard_PB24s', 'Standard_L88is_v2', 'Standard_D16s_v5', 'Standard_E16-8s_v3', 'Standard_ND6s', 'Standard_E48s_v4', 'Standard_DS4', 'Standard_E20d_v5', 'Standard_E64ds_v4', 'Standard_D16s_v3', 'Standard_E32-8s_v4', 'Standard_D64s_v4', 'Standard_E2_v3', 'Standard_H16r', 'Standard_E32ds_v4', 'Standard_A3', 'Standard_M64ms_v2', 'Standard_DS1', 'Standard_D96s_v5', 'Standard_D8_v4', 'Standard_M32dms_v2', 'Standard_E32_v4', 'Standard_NC24s_v2', 'Standard_E96-24as_v4', 'Standard_HB120-16rs_v3', 'Standard_DS1_v2', 'Standard_M32ls', 'Standard_D48ds_v4', 'Standard_E20s_v3', 'Standard_D32a_v4', 'Standard_F16s', 'Standard_D16ds_v5', 'Standard_E4-2ds_v4', 'Standard_M128ds_v2', 'Standard_E48d_v4', 'Standard_DC8_v2', 'Standard_E16-4s_v3', 'Standard_E48_v5', 'Standard_E64a_v4', 'Standard_D8a_v4', 'Standard_L16s_v2', 'Standard_F8s', 'Standard_NC4as_T4_v3', 'Standard_D15_v2', 'Standard_D48s_v5', 'Standard_M64s', 'Standard_DS13', 'Standard_A4_v2', 'Standard_D32d_v5', 'Standard_D64a_v4', 'Standard_E64i_v3', 'Standard_M16-8ms', 'Standard_NC24rs_v3', 'Standard_E16s_v4', 'Standard_D64_v5', 'Standard_A5', 'Standard_D4_v2', 'Standard_D96a_v4', 'Standard_H8', 'Standard_E8a_v4', 'Standard_E8s_v3', 'Standard_D8s_v5', 'Standard_NC16as_T4_v3', 'Standard_E4d_v5', 'Standard_M64ds_v2', 'Standard_E80is_v4', 'Standard_F8', 'Standard_DS15i_v2', 'Standard_E8ds_v4', 'Standard_M416-104s_v2', 'Standard_D2_v3', 'Standard_F4s', 'Standard_E2d_v5', 'Standard_DS3', 'Standard_NV6', 'Standard_M64-32ms', 'Standard_D4ds_v4', 'Standard_E20_v4', 'Standard_A9', 'Standard_D11', 'Standard_HB60-45rs', 'Standard_D2s_v3', 'Standard_E4s_v3', 'Standard_NV24s_v3', 'Standard_D8_v5', 'Standard_D96as_v4', 'Standard_M128s', 'Standard_D48d_v5', 'Standard_D4s_v4', 'Standard_F32s_v2', 'Standard_D12_v2', 'Standard_A8m_v2', 'Standard_E16ds_v4', 'Standard_E96as_v4', 'Standard_F72s_v2', 'Standard_M192ids_v2', 'Standard_F64s_v2', 'Standard_E64_v5', 'Standard_E96d_v5', 'Standard_E64-32as_v4', 'Standard_NC12s_v2', 'Standard_E20as_v4', 'Standard_E48s_v3', 'Standard_HB120-64rs_v3', 'Standard_D8as_v4', 'Standard_E48ds_v4', 'Standard_D8d_v4', 'Standard_E32-16s_v3', 'Standard_NV48s_v3', 'Standard_E64_v4', 'Standard_L64s_v2', 'Standard_H16mr', 'Standard_M16ms', 'Standard_M32-16ms', 'Standard_M128ms', 'Standard_E4-2s_v4', 'Standard_E8d_v4', 'Standard_D2d_v5', 'Standard_M128ms_v2', 'Standard_DS2', 'Standard_F2', 'Standard_M208-104s_v2', 'Standard_E20d_v4', 'Standard_NC8as_T4_v3', 'Standard_E48_v3', 'Standard_DS13-4_v2', 'Standard_M32ms', 'Standard_HB120-96rs_v3', 'Standard_D16a_v4', 'Standard_D64as_v4', 'Standard_D16_v3', 'Standard_NC12', 'Standard_ND12s', 'Standard_NV24', 'Standard_D64s_v3', 'Standard_E64s_v3', 'Standard_E16-8as_v4', 'Standard_F8s_v2', 'Standard_E32-8as_v4', 'Standard_D4ds_v5', 'Standard_E48a_v4', 'Standard_E64-32s_v3', 'Standard_M192idms_v2', 'Standard_D48a_v4', 'Standard_HB120-32rs_v3', 'Standard_M8ms', 'Standard_D32ds_v4', 'Standard_DS14', 'Standard_M16-4ms', 'Standard_D4s_v3', 'Standard_D64_v3', 'Standard_E64as_v4', 'Standard_D12', 'Standard_F48s_v2', 'Standard_D16d_v5', 'Standard_HC44-16rs', 'Standard_DS12-2_v2', 'Standard_D96ds_v5', 'Standard_ND96asr_A100_v4', 'Standard_E20_v3', 'Standard_M32ts', 'Standard_PB6s', 'Standard_D4s_v5', 'Basic_A2', 'Standard_E4_v3', 'Standard_DS5_v2', 'Standard_M208-52s_v2', 'Standard_M208-52ms_v2', 'Standard_PB12s', 'Standard_D64ds_v5', 'Standard_E96_v5', 'Standard_M416-104ms_v2', 'Standard_L96s_v2', 'Standard_NV12s_v3', 'Standard_M128-32ms', 'Standard_D14_v2', 'Standard_D16s_v4', 'Standard_E32-8ds_v4', 'Standard_NC24rs_v2', 'Standard_D14', 'Standard_E8-2s_v3', 'Standard_E4_v5', 'Standard_NC6', 'Standard_D32d_v4', 'Standard_D2d_v4', 'Standard_D32ds_v5', 'Standard_E64d_v5', 'Standard_E64s_v4', 'Standard_HB60-30rs', 'Standard_A10', 'Standard_E8-2as_v4', 'Standard_NV8as_v4', 'Standard_E48_v4', 'Standard_E64-16ds_v4', 'Standard_DS14-4_v2', 'Standard_DS12', 'Standard_M64s_v2', 'Standard_D16as_v4', 'Standard_D4a_v4', 'Standard_E2_v5', 'Standard_D4_v3', 'Standard_E2as_v4', 'Standard_F16', 'Standard_H16m', 'Standard_D13_v2', 'Standard_L32s_v2', 'Standard_E32_v5', 'Standard_E32-16ds_v4', 'Standard_D48_v3', 'Standard_M64', 'Standard_E16s_v3', 'Standard_D64d_v5', 'Standard_D8_v3', 'Standard_E64is_v3', 'Standard_NV4as_v4', 'Standard_M416ms_v2', 'Standard_D64ds_v4', 'Standard_D32_v4', 'Standard_E2ds_v4', 'Standard_NV24s_v2', 'Standard_D64d_v4', 'Standard_D13', 'Standard_A1_v2', 'Standard_M64-16ms', 'Standard_A6', 'Standard_NV6s_v2', 'Standard_HC44-32rs', 'Standard_E64d_v4', 'Standard_M208ms_v2', 'Standard_M64ls', 'Standard_NV12s_v2', 'Standard_DC1s_v2'],
'westcentralus': ['Standard_D2_v3', 'Standard_D32_v5', 'Standard_F16s_v2', 'Standard_E2a_v4', 'Standard_F2s_v2', 'Standard_D2_v2', 'Standard_E20_v4', 'Standard_E64-16s_v4', 'Standard_E2s_v4', 'Standard_E4d_v5', 'Standard_E4_v3', 'Standard_DS11_v2', 'Standard_D32-16s_v3', 'Standard_D64d_v5', 'Standard_D8_v4', 'Standard_D8_v3', 'Standard_A5', 'Standard_D2_v4', 'Standard_E64-16as_v4', 'Standard_D64s_v5', 'Standard_D48d_v4', 'Standard_E96-24as_v4', 'Standard_A8m_v2', 'Standard_F4s', 'Standard_E16_v4', 'Standard_E8s_v4', 'Standard_E80is_v4', 'Standard_E16-4ds_v4', 'Standard_D64a_v4', 'Standard_DS15i_v2', 'Standard_E32a_v4', 'Standard_D32_v3', 'Standard_E64s_v4', 'Standard_D32s_v5', 'Standard_D32s_v3', 'Standard_E4as_v4', 'Standard_D8_v5', 'Standard_E64a_v4', 'Standard_D5_v2', 'Standard_E32-8ds_v4', 'Standard_E64-32as_v4', 'Standard_E96_v5', 'Standard_D32a_v4', 'Standard_F1s', 'Standard_D32d_v4', 'Standard_DS12_v2', 'Standard_E64d_v5', 'Standard_E20a_v4', 'Standard_F48s_v2', 'Standard_D8d_v5', 'Standard_E16s_v3', 'Standard_E8d_v5', 'Standard_A3', 'Standard_F4s_v2', 'Standard_DS1_v2', 'Standard_D16s_v4', 'Standard_DS5_v2', 'Standard_A0', 'Standard_E16-4s_v3', 'Standard_E16s_v4', 'Standard_E48a_v4', 'Standard_D32-8s_v3', 'Standard_D4_v2', 'Standard_E32-16s_v3', 'Standard_E32ds_v4', 'Standard_D8as_v4', 'Standard_E4_v4', 'Standard_A4', 'Standard_E96as_v4', 'Standard_E8-4s_v3', 'Standard_E64d_v4', 'Standard_E2ds_v4', 'Standard_D3_v2', 'Standard_D16ds_v5', 'Basic_A2', 'Standard_A6', 'Standard_A4m_v2', 'Standard_D15_v2', 'Standard_DS14-4_v2', 'Standard_D64ds_v5', 'Standard_F16', 'Standard_E16ds_v4', 'Standard_E48d_v4', 'Standard_E48_v5', 'Standard_E32s_v4', 'Basic_A1', 'Standard_D4a_v4', 'Standard_F1', 'Standard_E20_v3', 'Standard_E64_v5', 'Standard_D4ds_v5', 'Standard_F16s', 'Standard_E8-4s_v4', 'Standard_E4d_v4', 'Standard_D2s_v5', 'Standard_E80ids_v4', 'Standard_E16_v3', 'Standard_E64ds_v4', 'Standard_E8-2s_v3', 'Standard_E8-2ds_v4', 'Standard_E20as_v4', 'Standard_E4ds_v4', 'Standard_D16_v5', 'Standard_A1_v2', 'Standard_D64-16s_v3', 'Standard_D32ds_v4', 'Standard_E2_v4', 'Standard_D64s_v4', 'Standard_E64s_v3', 'Standard_E16-8s_v4', 'Standard_E32-16as_v4', 'Standard_DS12-1_v2', 'Standard_A2m_v2', 'Standard_D8a_v4', 'Standard_F64s_v2', 'Standard_D48s_v4', 'Standard_F2', 'Standard_E32d_v5', 'Standard_E2d_v5', 'Standard_E20_v5', 'Standard_F72s_v2', 'Standard_D16d_v5', 'Standard_E48_v3', 'Standard_E32as_v4', 'Standard_E64-32s_v3', 'Standard_D2s_v3', 'Standard_E64-32s_v4', 'Standard_D64s_v3', 'Standard_D4s_v5', 'Standard_D96as_v4', 'Standard_E32_v3', 'Standard_E8a_v4', 'Standard_DS3_v2', 'Standard_DS14_v2', 'Standard_D32d_v5', 'Standard_E48ds_v4', 'Standard_E64-32ds_v4', 'Standard_E32_v5', 'Standard_D96d_v5', 'Standard_E4-2s_v4', 'Standard_D16a_v4', 'Standard_D11_v2', 'Standard_D96s_v5', 'Standard_E48_v4', 'Standard_E48d_v5', 'Standard_D8d_v4', 'Standard_E16-8s_v3', 'Standard_D2d_v5', 'Standard_F8s', 'Standard_D4_v3', 'Standard_D8s_v4', 'Standard_D64d_v4', 'Standard_D16s_v5', 'Standard_D4s_v3', 'Standard_E4_v5', 'Standard_E16d_v5', 'Basic_A4', 'Standard_D64_v3', 'Standard_DS12-2_v2', 'Standard_D13_v2', 'Standard_D32ds_v5', 'Standard_D16s_v3', 'Standard_E4s_v4', 'Standard_E64-16ds_v4', 'Standard_E32s_v3', 'Standard_E8ds_v4', 'Standard_D8s_v5', 'Standard_D2_v5', 'Standard_D4d_v4', 'Standard_E32d_v4', 'Standard_D4d_v5', 'Standard_E32-16s_v4', 'Standard_E64-16s_v3', 'Standard_D48a_v4', 'Standard_D64-32s_v3', 'Standard_D16_v3', 'Standard_D16ds_v4', 'Standard_D2ds_v4', 'Standard_E20s_v3', 'Standard_E48as_v4', 'Standard_E16-4s_v4', 'Standard_E64as_v4', 'Standard_D64as_v4', 'Standard_DS13-4_v2', 'Standard_E2as_v4', 'Standard_E64_v4', 'Standard_E4-2s_v3', 'Standard_D48s_v5', 'Standard_D48as_v4', 'Standard_A8_v2', 'Standard_E2d_v4', 'Standard_E8_v3', 'Standard_D48_v4', 'Standard_DS11-1_v2', 'Standard_D64ds_v4', 'Standard_E8_v5', 'Standard_D4s_v4', 'Standard_E96-48as_v4', 'Standard_F8', 'Standard_E8d_v4', 'Standard_E20d_v4', 'Standard_D12_v2', 'Standard_D48_v5', 'Standard_E16d_v4', 'Standard_E16a_v4', 'Standard_A4_v2', 'Standard_E8-2as_v4', 'Standard_F8s_v2', 'Standard_E8s_v3', 'Standard_D2s_v4', 'Standard_D16_v4', 'Standard_F4', 'Standard_D4as_v4', 'Standard_A1', 'Standard_E8as_v4', 'Standard_E20d_v5', 'Standard_E16_v5', 'Standard_E4-2ds_v4', 'Standard_A2', 'Standard_F2s', 'Standard_D14_v2', 'Standard_D48_v3', 'Standard_D16as_v4', 'Standard_D48d_v5', 'Standard_D96ds_v5', 'Standard_A7', 'Standard_D8ds_v5', 'Standard_D2a_v4', 'Standard_E64is_v3', 'Standard_E4-2as_v4', 'Standard_E4a_v4', '', 'Standard_E32-16ds_v4', 'Standard_E2_v5', 'Standard_E16-8ds_v4', 'Standard_D15i_v2', 'Standard_D48ds_v4', 'Standard_E64_v3', 'Standard_D1_v2', 'Standard_DS2_v2', 'Basic_A3', 'Standard_DS4_v2', 'Standard_DS14-8_v2', 'Standard_E20s_v4', 'Standard_E16as_v4', 'Standard_D96_v5', 'Standard_E4s_v3', 'Standard_D32s_v4', 'Standard_E32-8as_v4', 'Standard_D2d_v4', 'Standard_E8-2s_v4', 'Standard_D4ds_v4', 'Standard_E48s_v4', 'Standard_F32s_v2', 'Standard_DS15_v2', 'Standard_E96d_v5', 'Standard_D2ds_v5', 'Standard_DS13-2_v2', 'Standard_E96a_v4', 'Standard_D16d_v4', 'Standard_D96a_v4', 'Standard_D48ds_v5', 'Standard_E16-8as_v4', 'Standard_E32-8s_v4', 'Standard_D8ds_v4', 'Standard_E2_v3', 'Standard_D4_v4', 'Standard_D2as_v4', 'Standard_E8_v4', 'Standard_D64_v5', 'Standard_E64i_v3', 'Standard_E16-4as_v4', 'Standard_E20ds_v4', 'Standard_E32-8s_v3', 'Standard_D48s_v3', 'Standard_E32_v4', 'Basic_A0', 'Standard_A2_v2', 'Standard_E8-4ds_v4', 'Standard_D8s_v3', 'Standard_D64_v4', 'Standard_E8-4as_v4', 'Standard_D32as_v4', 'Standard_E2s_v3', 'Standard_DS13_v2', 'Standard_D4_v5', 'Standard_D32_v4'],
'northeurope': ['Standard_E48_v4', 'Standard_M32ms', 'Standard_E32a_v4', 'Standard_D64s_v3', 'Standard_M32dms_v2', 'Standard_M128s_v2', 'Standard_F2s_v2', 'Basic_A0', 'Standard_E16-4s_v3', 'Standard_E32_v4', 'Standard_D64ds_v5', 'Standard_DS4_v2', 'Standard_NV24s_v3', 'Standard_D48s_v5', 'Standard_E4-2ds_v4', 'Standard_A5', 'Standard_D8s_v3', 'Standard_D8ds_v4', 'Standard_NC24rs_v3', 'Standard_F1', 'Standard_M128-32ms', 'Standard_D64ds_v4', 'Standard_D2_v5', 'Standard_D16_v4', 'Standard_E8-4ds_v4', 'Standard_E64ds_v4', 'Standard_D64d_v4', 'Standard_L8s_v2', 'Standard_E20a_v4', 'Standard_NC4as_T4_v3', 'Standard_A0', 'Standard_D2d_v4', 'Standard_E64_v4', 'Standard_E32_v3', 'Standard_E8-2s_v4', 'Standard_DS15_v2', 'Standard_E16-4ds_v4', 'Standard_E96as_v4', 'Standard_A4_v2', 'Standard_M32s', 'Standard_D8as_v4', 'Standard_F32s_v2', 'Standard_E64d_v4', 'Standard_E20_v4', 'Standard_E8-2s_v3', 'Standard_M416-104ms_v2', 'Standard_D48_v3', 'Standard_M64', 'Standard_D14', 'Standard_E48ds_v4', 'Standard_D4d_v4', 'Standard_D2s_v5', 'Standard_D2s_v4', 'Standard_D5_v2', 'Standard_M208-52ms_v2', 'Standard_E16-8ds_v4', 'Standard_NV12s_v3', 'Standard_D4s_v5', 'Standard_E64is_v3', 'Standard_D48d_v4', 'Standard_H16m', 'Standard_E16-8s_v4', 'Standard_E32-8ds_v4', 'Standard_NV6', 'Standard_E64-16s_v4', 'Standard_E32_v5', 'Standard_D12', 'Standard_M8-4ms', 'Standard_DS11', 'Standard_D2s_v3', 'Standard_D48_v5', 'Standard_D16_v3', 'Standard_D8d_v5', 'Standard_D8ds_v5', 'Standard_A10', 'Standard_E8a_v4', 'Standard_D1_v2', 'Standard_D48s_v3', 'Standard_NV8as_v4', 'Standard_D96a_v4', 'Standard_A7', 'Standard_D64s_v5', 'Standard_L88is_v2', 'Standard_D8d_v4', 'Standard_DS14-4_v2', 'Standard_E4-2as_v4', 'Standard_E16as_v4', 'Standard_M16ms', 'Standard_L32s_v2', 'Standard_E16-4s_v4', 'Standard_D64d_v5', 'Standard_D15_v2', 'Standard_D32ds_v4', 'Standard_A1', 'Standard_E64s_v3', 'Standard_E32-16as_v4', 'Standard_D64as_v4', 'Standard_E96-48as_v4', 'Standard_F4', 'Standard_NC12', 'Standard_M192idms_v2', 'Standard_D8_v4', 'Standard_E2d_v4', 'Standard_D4', 'Standard_NV16as_v4', 'Standard_E32-16s_v4', 'Standard_F4s', 'Standard_M192ims_v2', 'Standard_D32d_v5', 'Standard_M32-16ms', 'Standard_NC64as_T4_v3', 'Standard_M128dms_v2', 'Standard_F48s_v2', 'Standard_E4-2s_v3', 'Standard_D4s_v3', 'Standard_E16a_v4', 'Standard_DS14-8_v2', 'Basic_A1', 'Standard_DS14', '', 'Standard_M8ms', 'Standard_DS12_v2', 'Standard_D4_v3', 'Standard_E96a_v4', 'Standard_M8-2ms', 'Standard_E16d_v5', 'Standard_DS5_v2', 'Standard_M32ls', 'Standard_E48as_v4', 'Standard_E48d_v4', 'Standard_D32_v3', 'Standard_D64s_v4', 'Standard_DS2', 'Standard_M16s', 'Standard_M64s', 'Standard_E8-2as_v4', 'Standard_E64i_v3', 'Standard_E8as_v4', 'Standard_E8s_v4', 'Standard_D48a_v4', 'Standard_DS13_v2', 'Standard_D32ds_v5', 'Standard_D16s_v3', 'Standard_F8s', 'Standard_D4ds_v5', 'Standard_E32-8as_v4', 'Standard_D96d_v5', 'Standard_NC24r', 'Standard_M64s_v2', 'Standard_E20_v3', 'Standard_E48s_v4', 'Standard_D4ds_v4', 'Standard_E16d_v4', 'Standard_E2s_v3', 'Standard_D8a_v4', 'Standard_E8-2ds_v4', 'Standard_D2d_v5', 'Standard_D48d_v5', 'Standard_D16d_v4', 'Standard_E20s_v3', 'Standard_E2as_v4', 'Standard_M128ms_v2', 'Standard_M208-52s_v2', 'Standard_E16_v5', 'Standard_E48_v5', 'Standard_E32-16ds_v4', 'Standard_A9', 'Standard_D13_v2', 'Standard_D32-16s_v3', 'Standard_D8s_v4', 'Standard_D4_v5', 'Standard_DS12-1_v2', 'Standard_E64a_v4', 'Standard_E64-16ds_v4', 'Standard_D2ds_v4', 'Standard_D96as_v4', 'Standard_E16-4as_v4', 'Standard_F72s_v2', 'Standard_D32-8s_v3', 'Standard_M416-104s_v2', 'Standard_D48ds_v5', 'Standard_D2as_v4', 'Standard_DS14_v2', 'Standard_NC24s_v3', 'Standard_D16ds_v4', 'Standard_D4d_v5', 'Standard_F2s', 'Standard_D48ds_v4', 'Standard_HC44-16rs', 'Standard_E8d_v5', 'Standard_E8ds_v4', 'Standard_E8-4s_v4', 'Standard_E2ds_v4', 'Standard_DS4', 'Standard_D11', 'Standard_D48as_v4', 'Standard_E48a_v4', 'Standard_D2_v4', 'Standard_E32s_v3', 'Standard_E4d_v5', 'Standard_HC44-32rs', 'Standard_E64s_v4', 'Standard_E64-32ds_v4', 'Standard_E20d_v5', 'Standard_E4_v5', 'Standard_NC8as_T4_v3', 'Standard_D32s_v5', 'Standard_DC2s_v2', 'Standard_D2_v2', 'Standard_H8m', 'Standard_D32_v5', 'Standard_E16_v4', 'Standard_E20ds_v4', 'Standard_M208-104ms_v2', 'Standard_E4ds_v4', 'Standard_A4', 'Standard_F64s_v2', 'Standard_DS3', 'Standard_A11', 'Standard_E96_v5', 'Standard_D4as_v4', 'Standard_A8m_v2', 'Standard_DS12', 'Standard_D32d_v4', 'Standard_HC44rs', 'Standard_A6', 'Standard_E64-32as_v4', 'Standard_E32-16s_v3', 'Standard_E4_v4', 'Standard_F16s', 'Standard_M128-64ms', 'Standard_D8s_v5', 'Standard_H16mr', 'Standard_E2_v5', 'Standard_E96-24as_v4', 'Standard_L64s_v2', 'Standard_E16ds_v4', 'Standard_M64-16ms', 'Standard_A8', 'Standard_M416-208ms_v2', 'Standard_D96_v5', 'Standard_NV48s_v3', 'Standard_E4a_v4', 'Standard_D96ds_v5', 'Standard_M208ms_v2', 'Standard_M16-8ms', 'Standard_DC4s_v2', 'Standard_D4a_v4', 'Standard_M32-8ms', 'Standard_A2', 'Standard_DS1', 'Standard_E20_v5', 'Standard_E64as_v4', 'Standard_D16as_v4', 'Standard_A8_v2', 'Standard_L48s_v2', 'Standard_M32ms_v2', 'Standard_E48s_v3', 'Standard_DS2_v2', 'Standard_D8_v5', 'Standard_D48s_v4', 'Standard_A2_v2', 'Standard_E80is_v4', 'Standard_DS1_v2', 'Standard_D16_v5', 'Standard_D32as_v4', 'Standard_L80s_v2', 'Standard_NC16as_T4_v3', 'Standard_E8_v5', 'Standard_E2a_v4', 'Standard_D4_v4', 'Standard_E2_v4', 'Standard_DS15i_v2', 'Standard_D12_v2', 'Standard_E4_v3', 'Standard_DS11_v2', 'Standard_NV4as_v4', 'Standard_D3', 'Standard_H16', 'Standard_E2s_v4', 'Standard_E32s_v4', 'Standard_DS13-2_v2', 'Standard_E16s_v3', 'Standard_D64-16s_v3', 'Standard_L16s_v2', 'Standard_E20d_v4', 'Standard_E16-8as_v4', 'Basic_A3', 'Standard_E2_v3', 'Standard_D64a_v4', 'Standard_H16r', 'Standard_M128', 'Standard_M416is_v2', 'Standard_E48d_v5', 'Standard_F4s_v2', 'Standard_E64_v5', 'Standard_F16s_v2', 'Standard_M128m', 'Standard_D16a_v4', 'Standard_D15i_v2', 'Standard_D32_v4', 'Standard_E64-32s_v3', 'Standard_M64ms', 'Standard_F1s', 'Standard_D16s_v5', 'Standard_D64_v4', 'Standard_D13', 'Standard_M416-208s_v2', 'Standard_F8', 'Standard_M128ds_v2', 'Standard_D64_v5', 'Standard_E32-8s_v4', 'Standard_D16s_v4', 'Basic_A4', 'Standard_E20s_v4', 'Standard_M208s_v2', 'Standard_DS3_v2', 'Standard_NV24', 'Standard_E64d_v5', 'Standard_A1_v2', 'Standard_D4s_v4', 'Standard_DC8_v2', 'Standard_D8_v3', 'Standard_DC1s_v2', 'Standard_E4s_v3', 'Standard_F2', 'Standard_M192is_v2', 'Standard_E64-16s_v3', 'Standard_E80ids_v4', 'Standard_M64m', 'Standard_E8d_v4', 'Standard_E2d_v5', 'Standard_E4d_v4', 'Standard_E64-16as_v4', 'Standard_D4_v2', 'Standard_DS13', 'Standard_NC24', 'Standard_M16-4ms', 'Standard_F8s_v2', 'Standard_D64_v3', 'Standard_E4as_v4', 'Standard_F16', 'Standard_D3_v2', 'Standard_E8-4as_v4', 'Standard_E4s_v4', 'Standard_D2ds_v5', 'Standard_D32s_v4', 'Standard_NC6', 'Standard_E8_v3', 'Standard_M64ls', 'Standard_M128s', 'Standard_D1', 'Standard_M64dms_v2', 'Standard_M416ms_v2', 'Standard_E20as_v4', 'Standard_E8_v4', 'Standard_D16d_v5', 'Basic_A2', 'Standard_A3', 'Standard_E64-32s_v4', 'Standard_M32ts', 'Standard_E4-2s_v4', 'Standard_M128ms', 'Standard_E16_v3', 'Standard_E64_v3', 'Standard_M64ds_v2', 'Standard_NV12', 'Standard_E32d_v4', 'Standard_D2a_v4', 'Standard_D48_v4', 'Standard_M64ms_v2', 'Standard_NV32as_v4', 'Standard_DS11-1_v2', 'Standard_D32a_v4', 'Standard_M208-104s_v2', 'Standard_E32ds_v4', 'Standard_NC12s_v3', 'Standard_E8s_v3', 'Standard_DS12-2_v2', 'Standard_A4m_v2', 'Standard_E16-8s_v3', 'Standard_D2_v3', 'Standard_D2', 'Standard_E32d_v5', 'Standard_E8-4s_v3', 'Standard_E32-8s_v3', 'Standard_D64-32s_v3', 'Standard_E96d_v5', 'Standard_DS13-4_v2', 'Standard_E16s_v4', 'Standard_M64-32ms', 'Standard_A2m_v2', 'Standard_E32as_v4', 'Standard_E48_v3', 'Standard_M192ids_v2', 'Standard_D11_v2', 'Standard_D14_v2', 'Standard_D16ds_v5', 'Standard_D32s_v3', 'Standard_H8', 'Standard_M416s_v2', 'Standard_NC6s_v3', 'Standard_D96s_v5'],
'westeurope': ['Standard_F16s', 'Standard_D4ds_v5', 'Standard_DS14-4_v2', 'Standard_E32ds_v4', 'Standard_A9', 'Standard_A4m_v2', 'Standard_E8-2as_v4', 'Standard_D48ds_v5', 'Standard_M64ms', 'Standard_D16a_v4', 'Basic_A0', 'Standard_DS14', 'Standard_F8s', 'Standard_DS12_v2', 'Standard_E4a_v4', 'Standard_D2', 'Standard_D2ds_v5', 'Standard_E2s_v4', 'Standard_E64-16s_v4', 'Standard_E96_v5', 'Standard_D4', 'Standard_HB60-15rs', 'Standard_DS13_v2', 'Standard_E8_v5', 'Standard_HB120-32rs_v3', 'Standard_A4', 'Standard_HB60-30rs', 'Standard_NV16as_v4', 'Standard_DS3_v2', 'Standard_E8-4s_v3', 'Standard_E16d_v4', 'Standard_ND96asr_A100_v4', 'Standard_D4_v5', 'Standard_E8-2s_v4', 'Standard_E64a_v4', 'Standard_E48d_v5', 'Standard_D13', 'Standard_D32_v3', 'Standard_D64_v3', 'Standard_M32ts', 'Standard_HB60rs', 'Standard_E2s_v3', 'Standard_GS3', 'Standard_D8_v4', 'Standard_D96_v5', '', 'Standard_A5', 'Standard_D48a_v4', 'Standard_DS2_v2', 'Standard_A1', 'Standard_D8_v3', 'Standard_M128-32ms', 'Standard_E48_v3', 'Standard_E64_v5', 'Standard_F4', 'Standard_D4d_v4', 'Standard_E32as_v4', 'Standard_D64_v4', 'Standard_D2s_v5', 'Standard_DS13-4_v2', 'Standard_M32-8ms', 'Standard_D32_v4', 'Standard_NC24s_v3', 'Standard_DS14_v2', 'Standard_E8-4ds_v4', 'Standard_E16_v3', 'Standard_F2s', 'Standard_M128ds_v2', 'Standard_L64s_v2', 'Standard_E8ds_v4', 'Standard_D4_v4', 'Standard_E8-2ds_v4', 'Standard_NC12s_v2', 'Standard_E4_v4', 'Standard_D14_v2', 'Standard_M64dms_v2', 'Standard_E32-16s_v3', 'Standard_M64ds_v2', 'Standard_E80is_v4', 'Standard_DS12', 'Standard_M64s', 'Standard_M16-4ms', 'Standard_M192ims_v2', 'Standard_D32as_v4', 'Standard_D2_v4', 'Standard_E32-16as_v4', 'Standard_E16d_v5', 'Standard_DS4', 'Basic_A4', 'Standard_DS15i_v2', 'Standard_ND40rs_v2', 'Standard_M64-32ms', 'Standard_D64_v5', 'Standard_E20as_v4', 'Standard_NV12s_v3', 'Standard_E32_v4', 'Standard_D16s_v5', 'Standard_D48ds_v4', 'Standard_E8-2s_v3', 'Standard_D16ds_v4', 'Standard_M32dms_v2', 'Standard_DS12-1_v2', 'Standard_H8', 'Standard_NV48s_v3', 'Standard_D48_v3', 'Standard_L4s', 'Standard_D32ds_v5', 'Standard_D2a_v4', 'Standard_D2as_v4', 'Standard_D15_v2', 'Standard_D32s_v4', 'Standard_E48d_v4', 'Standard_GS1', 'Standard_E96-24as_v4', 'Standard_E2_v5', 'Standard_M64ms_v2', 'Standard_D14', 'Standard_D16d_v4', 'Standard_D11_v2', 'Standard_G4', 'Standard_E64-16s_v3', 'Standard_E96-48as_v4', 'Standard_M16ms', 'Standard_D2d_v4', 'Standard_E16s_v3', 'Standard_D8a_v4', 'Standard_E48s_v3', 'Standard_M416-208ms_v2', 'Basic_A2', 'Standard_M32s', 'Standard_M128s', 'Standard_D64d_v5', 'Standard_DC2s_v2', 'Standard_D4as_v4', 'Standard_D3_v2', 'Standard_NC6', 'Standard_DS5_v2', 'Standard_DS13-2_v2', 'Standard_D48s_v4', 'Standard_HB120rs_v3', 'Standard_F16', 'Standard_D4a_v4', 'Standard_DC2s', 'Standard_F8', 'Standard_DS1', 'Standard_E2_v4', 'Standard_NV6', 'Standard_D16_v5', 'Standard_A7', 'Standard_D16as_v4', 'Standard_E8a_v4', 'Standard_D8d_v5', 'Standard_E32-8as_v4', 'Standard_E96d_v5', 'Standard_NC24', 'Standard_M32ms_v2', 'Standard_NV32as_v4', 'Standard_D5_v2', 'Standard_DS11', 'Standard_M64ls', 'Standard_E16_v5', 'Standard_A1_v2', 'Standard_E16-8as_v4', 'Standard_E4d_v5', 'Standard_E8d_v5', 'Standard_L16s', 'Standard_D16ds_v5', 'Standard_DS11-1_v2', 'Standard_E20_v3', 'Standard_NC24rs_v3', 'Standard_D96as_v4', 'Standard_E32s_v4', 'Standard_H16m', 'Standard_NC6s_v2', 'Standard_E80ids_v4', 'Standard_E2_v3', 'Standard_DS11_v2', 'Standard_E20d_v5', 'Standard_F1', 'Standard_F2', 'Standard_E64_v3', 'Standard_E64-32s_v4', 'Standard_D16_v3', 'Standard_HC44-32rs', 'Standard_L88is_v2', 'Standard_D96d_v5', 'Standard_E16-4s_v3', 'Standard_ND12s', 'Standard_D32-8s_v3', 'Standard_A3', 'Standard_E64s_v4', 'Standard_H16', 'Standard_E16_v4', 'Standard_L16s_v2', 'Standard_DS1_v2', 'Standard_G1', 'Standard_E64d_v5', 'Standard_E16-4as_v4', 'Standard_F1s', 'Standard_L80s_v2', 'Standard_E32s_v3', 'Standard_E64-32ds_v4', 'Standard_D64a_v4', 'Standard_E20s_v3', 'Standard_HC44rs', 'Standard_D13_v2', 'Standard_DS3', 'Standard_D32s_v3', 'Standard_E32-8s_v3', 'Standard_D48s_v5', 'Standard_D48_v4', 'Standard_D64-32s_v3', 'Standard_M128ms', 'Standard_D11', 'Standard_GS5-8', 'Standard_E16-4s_v4', 'Standard_M8ms', 'Standard_D32d_v5', 'Standard_E2d_v5', 'Standard_D4d_v5', 'Standard_D2_v2', 'Standard_D32-16s_v3', 'Standard_DC4s_v2', 'Standard_E2as_v4', 'Standard_E20_v4', 'Standard_NC12', 'Standard_NC16as_T4_v3', 'Standard_E32d_v4', 'Standard_D2ds_v4', 'Standard_E64d_v4', 'Standard_E20ds_v4', 'Standard_E20_v5', 'Standard_A2m_v2', 'Standard_E16-8s_v4', 'Standard_D2d_v5', 'Standard_D8ds_v4', 'Standard_DS15_v2', 'Standard_E32d_v5', 'Standard_E4-2s_v4', 'Standard_E48s_v4', 'Standard_E8-4s_v4', 'Standard_M416ms_v2', 'Standard_E16-8s_v3', 'Standard_GS5-16', 'Standard_E64-32s_v3', 'Standard_M192ids_v2', 'Standard_E64-16as_v4', 'Standard_D4s_v5', 'Standard_E64_v4', 'Standard_M208-52s_v2', 'Standard_E32-16ds_v4', 'Standard_D12', 'Standard_NC24s_v2', 'Standard_M208s_v2', 'Standard_M128m', 'Standard_E32_v3', 'Standard_M192idms_v2', 'Standard_M208-104ms_v2', 'Standard_PB12s', 'Standard_E4s_v3', 'Standard_M128ms_v2', 'Basic_A3', 'Standard_PB24s', 'Standard_F4s', 'Standard_D64as_v4', 'Standard_D8s_v5', 'Standard_E16s_v4', 'Standard_M192is_v2', 'Standard_HB120rs_v2', 'Standard_ND6s', 'Standard_NV8as_v4', 'Standard_NC12s_v3', 'Standard_E16-8ds_v4', 'Standard_E32_v5', 'Standard_E16ds_v4', 'Standard_M32ms', 'Standard_D96a_v4', 'Standard_E16a_v4', 'Standard_D48_v5', 'Standard_E4as_v4', 'Standard_E96a_v4', 'Standard_E48as_v4', 'Standard_E64-32as_v4', 'Standard_E32-8s_v4', 'Standard_A10', 'Standard_D64ds_v5', 'Standard_PB6s', 'Standard_NC64as_T4_v3', 'Standard_D8_v5', 'Standard_L8s_v2', 'Standard_E4s_v4', 'Standard_M8-4ms', 'Standard_G5', 'Standard_E20a_v4', 'Standard_E64is_v3', 'Standard_DS13', 'Standard_E8s_v3', 'Standard_E16as_v4', 'Standard_M16s', 'Standard_E48_v5', 'Standard_HB120-16rs_v3', 'Standard_DS12-2_v2', 'Standard_HB60-45rs', 'Standard_D3', 'Standard_E4d_v4', 'Standard_D32ds_v4', 'Standard_D8d_v4', 'Standard_E4_v5', 'Standard_NC24r', 'Standard_M416is_v2', 'Standard_NV24', 'Standard_D16s_v4', 'Standard_HC44-16rs', 'Standard_M128s_v2', 'Standard_E8_v4', 'Standard_NC4as_T4_v3', 'Standard_L32s', 'Standard_DS14-8_v2', 'Standard_D64s_v4', 'Standard_D8as_v4', 'Standard_HB120-64rs_v3', 'Standard_D64-16s_v3', 'Standard_M64s_v2', 'Standard_DC8_v2', 'Standard_NV12', 'Standard_D4s_v3', 'Standard_DS4_v2', 'Standard_D32s_v5', 'Standard_NP20s', 'Standard_D64s_v5', 'Standard_M16-8ms', 'Standard_M416s_v2', 'Standard_A11', 'Standard_G3', 'Standard_L32s_v2', 'Standard_M208ms_v2', 'Standard_A8m_v2', 'Standard_HB120-96rs_v3', 'Standard_D32a_v4', 'Standard_GS5', 'Standard_D96s_v5', 'Standard_DC1s_v2', 'Standard_H16mr', 'Standard_D12_v2', 'Standard_NV4as_v4', 'Standard_A6', 'Standard_F16s_v2', 'Standard_H8m', 'Standard_D4s_v4', 'Standard_D48d_v4', 'Standard_F2s_v2', 'Standard_M32-16ms', 'Standard_F4s_v2', 'Standard_M416-104ms_v2', 'Standard_D96ds_v5', 'Standard_E32-16s_v4', 'Standard_ND24rs', 'Standard_D48as_v4', 'Standard_D64s_v3', 'Standard_D8s_v4', 'Standard_M128', 'Standard_D2_v5', 'Standard_D64ds_v4', 'Standard_M32ls', 'Standard_D2s_v4', 'Standard_E48_v4', 'Standard_NV24s_v3', 'Standard_DS2', 'Standard_F64s_v2', 'Standard_E8d_v4', 'Standard_M208-104s_v2', 'Standard_D16s_v3', 'Standard_D4ds_v4', 'Standard_D8ds_v5', 'Standard_E16-4ds_v4', 'Standard_NC8as_T4_v3', 'Standard_D4_v3', 'Standard_A8', 'Standard_A4_v2', 'Standard_E64as_v4', 'Standard_ND96asr_v4', 'Standard_F32s_v2', 'Standard_D48s_v3', 'Standard_ND24s', 'Standard_F72s_v2', 'Standard_GS4-8', 'Standard_NC24rs_v2', 'Standard_D2s_v3', 'Standard_M128-64ms', 'Standard_DC4s', 'Standard_GS4-4', 'Standard_D16d_v5', 'Standard_H16r', 'Standard_M64', 'Standard_E2ds_v4', 'Standard_E96as_v4', 'Standard_A2_v2', 'Standard_E8s_v4', 'Standard_E4-2s_v3', 'Standard_M64-16ms', 'Standard_GS2', 'Standard_A2', 'Standard_D32d_v4', 'Standard_E4-2as_v4', 'Standard_M128dms_v2', 'Standard_D1', 'Standard_E8_v3', 'Standard_E2a_v4', 'Standard_F48s_v2', 'Standard_E4_v3', 'Standard_E64s_v3', 'Standard_A8_v2', 'Standard_E48ds_v4', 'Standard_D48d_v5', 'Standard_NP40s', 'Standard_D1_v2', 'Standard_E64ds_v4', 'Standard_D64d_v4', 'Standard_E20s_v4', 'Standard_D4_v2', 'Standard_ND40s_v2', 'Standard_D15i_v2', 'Standard_F8s_v2', 'Standard_L8s', 'Standard_E2d_v4', 'Standard_D32_v5', 'Standard_D2_v3', 'Standard_E20d_v4', 'Standard_E32a_v4', 'Standard_E8as_v4', 'Standard_M416-208s_v2', 'Standard_A0', 'Standard_NC6s_v3', 'Standard_E64-16ds_v4', 'Standard_NP10s', 'Standard_M8-2ms', 'Basic_A1', 'Standard_M208-52ms_v2', 'Standard_D8s_v3', 'Standard_E48a_v4', 'Standard_GS4', 'Standard_D16_v4', 'Standard_E32-8ds_v4', 'Standard_M416-104s_v2', 'Standard_E8-4as_v4', 'Standard_M64m', 'Standard_E64i_v3', 'Standard_E4-2ds_v4', 'Standard_L48s_v2', 'Standard_G2', 'Standard_E4ds_v4'],
'japaneast': ['Standard_M8-2ms', 'Standard_F1', 'Standard_E4s_v3', 'Standard_E32d_v5', 'Standard_D64-32s_v3', 'Standard_A1_v2', 'Standard_D5_v2', 'Standard_D64d_v4', 'Standard_E8s_v4', 'Standard_NV6', 'Standard_F16s_v2', 'Standard_D4d_v4', 'Standard_L48s_v2', 'Standard_NC24rs_v3', 'Standard_D16d_v5', 'Standard_GS5-16', 'Standard_M128ds_v2', 'Standard_E64-32s_v4', 'Standard_E16-4ds_v4', 'Standard_E2_v4', 'Standard_D32_v3', 'Standard_E20_v4', 'Standard_M192ims_v2', 'Standard_E32s_v3', 'Standard_M128ms_v2', 'Standard_F48s_v2', 'Standard_D64-16s_v3', 'Standard_NV16as_v4', 'Standard_D64d_v5', 'Standard_D8s_v3', 'Standard_D48ds_v4', 'Standard_D48s_v4', 'Standard_E20_v5', 'Standard_E64d_v5', 'Standard_E8-4ds_v4', 'Standard_D48s_v3', 'Standard_M128ms', 'Standard_NV48s_v3', 'Standard_A4', 'Standard_F2s', 'Standard_E20d_v5', 'Standard_M64s', 'Standard_M416-104s_v2', 'Standard_D4a_v4', 'Standard_D2d_v5', 'Standard_DS4', 'Standard_E64-32as_v4', 'Standard_D4s_v3', 'Standard_DS3_v2', 'Standard_M32-16ms', 'Standard_E48as_v4', 'Standard_D4', 'Standard_A5', 'Standard_E32_v5', 'Standard_NC16as_T4_v3', 'Standard_NV24', 'Standard_D32ds_v4', 'Standard_F4', 'Standard_NC64as_T4_v3', 'Standard_D2ds_v4', 'Standard_DS5_v2', 'Standard_E4_v5', 'Standard_D13', 'Standard_E2s_v3', 'Standard_M416ms_v2', 'Standard_M128s', 'Standard_E8ds_v4', 'Standard_E32a_v4', 'Standard_D4d_v5', 'Standard_M416-208ms_v2', 'Standard_E96a_v4', 'Standard_E20as_v4', 'Standard_D96as_v4', 'Standard_D15_v2', 'Standard_E4-2s_v4', 'Standard_E8_v3', 'Standard_L4s', 'Standard_A3', 'Standard_E64i_v3', 'Standard_F2', 'Standard_E80ids_v4', 'Standard_D16_v4', 'Standard_D32_v5', 'Standard_D48s_v5', 'Standard_E32-16s_v3', 'Standard_D8d_v4', 'Standard_M416-104ms_v2', 'Standard_E8_v4', 'Standard_E96d_v5', 'Standard_G4', 'Standard_NV24s_v3', 'Standard_E20s_v4', 'Standard_M208s_v2', 'Standard_D8_v5', 'Standard_GS2', 'Standard_DS12-2_v2', 'Standard_DS1', 'Standard_A2', 'Standard_DS12', 'Standard_M64-16ms', 'Standard_E2d_v5', 'Standard_E4_v3', 'Standard_E20a_v4', 'Standard_D8_v4', 'Standard_D4_v3', 'Standard_M208-104s_v2', 'Standard_GS4', 'Standard_E16-4s_v4', 'Standard_A8m_v2', 'Standard_F2s_v2', 'Standard_E16_v5', 'Standard_D2_v5', 'Standard_E48s_v3', 'Standard_E32-8as_v4', 'Standard_D16ds_v5', 'Standard_E64s_v3', 'Standard_E20d_v4', 'Standard_E48d_v4', '', 'Standard_E48_v3', 'Standard_E8a_v4', 'Standard_D4s_v4', 'Standard_E32as_v4', 'Standard_D16d_v4', 'Standard_DS11_v2', 'Standard_F8s', 'Standard_D4ds_v4', 'Standard_DS15_v2', 'Standard_M192idms_v2', 'Standard_DS13-4_v2', 'Standard_D48_v4', 'Standard_A0', 'Standard_M32ms_v2', 'Standard_D12', 'Standard_M128-64ms', 'Standard_D2_v3', 'Standard_E16as_v4', 'Standard_E32-8s_v4', 'Standard_E16-8as_v4', 'Standard_DS14', 'Standard_E48d_v5', 'Standard_D8_v3', 'Standard_E64-32s_v3', 'Standard_E64as_v4', 'Standard_M32s', 'Standard_D4_v5', 'Standard_DS2', 'Standard_NC24s_v3', 'Standard_GS5-8', 'Standard_L64s_v2', 'Standard_E2_v5', 'Standard_E32_v4', 'Standard_NV12', 'Standard_D32d_v4', 'Standard_NV32as_v4', 'Standard_E64_v4', 'Standard_H16', 'Standard_E64-16s_v4', 'Standard_D14_v2', 'Standard_D48_v5', 'Standard_DS11', 'Standard_E48s_v4', 'Standard_H16r', 'Standard_D3_v2', 'Standard_D4as_v4', 'Standard_L8s', 'Standard_E8-2s_v3', 'Standard_G2', 'Standard_E64-16s_v3', 'Standard_E2ds_v4', 'Standard_E32ds_v4', 'Standard_D4s_v5', 'Basic_A3', 'Standard_E16_v4', 'Standard_D96ds_v5', 'Standard_D8as_v4', 'Standard_A8', 'Standard_D8s_v5', 'Standard_D2_v4', 'Standard_M32ls', 'Standard_M64m', 'Standard_M128s_v2', 'Standard_D48a_v4', 'Standard_M208-104ms_v2', 'Standard_D64ds_v4', 'Standard_DS14-4_v2', 'Standard_D32s_v4', 'Standard_E16d_v4', 'Standard_G5', 'Standard_NV4as_v4', 'Standard_E8d_v5', 'Standard_M64dms_v2', 'Standard_D48d_v5', 'Standard_E16s_v3', 'Standard_L8s_v2', 'Standard_A4_v2', 'Standard_D2s_v4', 'Standard_D64_v3', 'Standard_E16-8ds_v4', 'Standard_NC8as_T4_v3', 'Standard_F32s_v2', 'Standard_D2d_v4', 'Standard_D16_v3', 'Standard_D16s_v4', 'Standard_L32s_v2', 'Standard_D32s_v5', 'Standard_D32s_v3', 'Standard_E48a_v4', 'Standard_DS11-1_v2', 'Standard_F8s_v2', 'Standard_E64-16as_v4', 'Standard_D4ds_v5', 'Standard_E8-4s_v4', 'Standard_G3', 'Standard_HC44-32rs', 'Standard_E20ds_v4', 'Standard_D48_v3', 'Standard_D16_v5', 'Standard_D4_v4', 'Standard_E8-2ds_v4', 'Standard_D2s_v5', 'Standard_D32-8s_v3', 'Standard_M64s_v2', 'Standard_E8s_v3', 'Standard_D32_v4', 'Standard_D8ds_v4', 'Standard_E4-2ds_v4', 'Standard_E48_v5', 'Standard_D2as_v4', 'Standard_D16s_v5', 'Standard_G1', 'Standard_D32a_v4', 'Standard_D11', 'Standard_M64ls', 'Standard_E16-8s_v4', 'Standard_E4-2s_v3', 'Standard_A11', 'Standard_E64d_v4', 'Standard_D48as_v4', 'Standard_D16as_v4', 'Standard_M32ms', 'Standard_M16ms', 'Standard_DS1_v2', 'Standard_E96-24as_v4', 'Standard_A8_v2', 'Standard_E32-16s_v4', 'Standard_M16s', 'Standard_L16s_v2', 'Standard_D96_v5', 'Standard_D2_v2', 'Standard_M64-32ms', 'Standard_M128dms_v2', 'Standard_DS15i_v2', 'Standard_E16_v3', 'Standard_D64s_v3', 'Standard_DS12-1_v2', 'Standard_A2_v2', 'Standard_DS12_v2', 'Standard_D8d_v5', 'Standard_E32-16as_v4', 'Standard_F4s', 'Standard_M64ms', 'Standard_D11_v2', 'Standard_D2', 'Standard_D14', 'Standard_E16-4as_v4', 'Standard_F16', 'Standard_D64ds_v5', 'Standard_E32-8s_v3', 'Basic_A4', 'Standard_E16s_v4', 'Standard_E16ds_v4', 'Standard_E96-48as_v4', 'Standard_E8-4s_v3', 'Standard_E96_v5', 'Standard_L16s', 'Standard_D4_v2', 'Standard_E32d_v4', 'Standard_D96d_v5', 'Standard_D64s_v5', 'Standard_D48d_v4', 'Standard_DS3', 'Standard_M32-8ms', 'Standard_HB120rs_v2', 'Standard_D16ds_v4', 'Standard_M8-4ms', 'Standard_D3', 'Standard_GS1', 'Standard_M416s_v2', 'Standard_M64ds_v2', 'Standard_M128m', 'Standard_E64ds_v4', 'Standard_E8_v5', 'Standard_HC44rs', 'Basic_A1', 'Standard_DS13_v2', 'Standard_E20s_v3', 'Standard_A1', 'Standard_M208-52s_v2', 'Standard_M416is_v2', 'Standard_M128-32ms', 'Standard_NV12s_v3', 'Standard_DS14-8_v2', 'Standard_E96as_v4', 'Standard_GS5', 'Standard_DS4_v2', 'Standard_E80is_v4', 'Standard_E4_v4', 'Standard_E16d_v5', 'Standard_H8m', 'Standard_E32s_v4', 'Standard_E4d_v4', 'Standard_E2s_v4', 'Standard_A4m_v2', 'Standard_E48ds_v4', 'Standard_M16-4ms', 'Standard_D12_v2', 'Standard_D64as_v4', 'Standard_D48ds_v5', 'Standard_D1', 'Standard_D64_v4', 'Standard_E64_v3', 'Standard_DS13-2_v2', 'Standard_D8ds_v5', 'Standard_A9', 'Standard_M16-8ms', 'Standard_GS4-8', 'Standard_H16mr', 'Standard_E2a_v4', 'Standard_D16s_v3', 'Standard_E8-4as_v4', 'Standard_D32d_v5', 'Standard_D32as_v4', 'Standard_D32ds_v5', 'Standard_E64a_v4', 'Standard_M192is_v2', 'Standard_D13_v2', 'Standard_M192ids_v2', 'Basic_A0', 'Standard_A10', 'Standard_DS2_v2', 'Standard_D1_v2', 'Standard_D64_v5', 'Standard_D32-16s_v3', 'Standard_M32ts', 'Standard_GS4-4', 'Standard_D2ds_v5', 'Standard_D15i_v2', 'Standard_M128', 'Standard_E4as_v4', 'Standard_H8', 'Standard_E2_v3', 'Standard_A6', 'Standard_F4s_v2', 'Standard_NV8as_v4', 'Standard_E4s_v4', 'Standard_F72s_v2', 'Standard_E8-2s_v4', 'Standard_GS3', 'Standard_L80s_v2', 'Standard_E4a_v4', 'Standard_E4d_v5', 'Standard_F1s', 'Standard_M8ms', 'Standard_A7', 'Standard_DS13', 'Standard_DS14_v2', 'Standard_E8d_v4', 'Standard_M64ms_v2', 'Standard_D8s_v4', 'Standard_E8-2as_v4', 'Standard_E64_v5', 'Standard_E2as_v4', 'Standard_A2m_v2', 'Standard_D64a_v4', 'Standard_F64s_v2', 'Standard_E32-16ds_v4', 'Standard_E8as_v4', 'Basic_A2', 'Standard_E16-8s_v3', 'Standard_E4-2as_v4', 'Standard_E16-4s_v3', 'Standard_M208ms_v2', 'Standard_E2d_v4', 'Standard_D2a_v4', 'Standard_E32_v3', 'Standard_E64is_v3', 'Standard_D96a_v4', 'Standard_E4ds_v4', 'Standard_H16m', 'Standard_M32dms_v2', 'Standard_E64-16ds_v4', 'Standard_M64', 'Standard_D2s_v3', 'Standard_D96s_v5', 'Standard_NC6s_v3', 'Standard_E16a_v4', 'Standard_F8', 'Standard_NC4as_T4_v3', 'Standard_E48_v4', 'Standard_L32s', 'Standard_E32-8ds_v4', 'Standard_E20_v3', 'Standard_F16s', 'Standard_HC44-16rs', 'Standard_E64-32ds_v4', 'Standard_D8a_v4', 'Standard_D64s_v4', 'Standard_D16a_v4', 'Standard_M208-52ms_v2', 'Standard_NC12s_v3', 'Standard_M416-208s_v2', 'Standard_E64s_v4'],
'japanwest': ['Standard_D16ds_v5', 'Basic_A1', 'Standard_E2d_v4', 'Standard_E80is_v4', 'Standard_D32_v3', 'Standard_E16-8ds_v4', 'Standard_DS14', 'Standard_DS15_v2', 'Standard_A1', 'Standard_D64d_v4', 'Standard_DS1_v2', 'Standard_E64_v3', 'Standard_A5', 'Standard_D32_v5', 'Standard_E64-16s_v3', 'Standard_DS12_v2', 'Standard_D16_v5', 'Standard_DS14-4_v2', 'Standard_E20_v4', 'Standard_M32-8ms', 'Standard_M64ds_v2', 'Standard_D64s_v3', 'Basic_A4', 'Standard_A8_v2', 'Standard_M192idms_v2', 'Standard_F16s_v2', 'Standard_DS12-1_v2', 'Standard_M128ds_v2', 'Standard_D8_v4', 'Standard_D48ds_v4', 'Standard_E8-2ds_v4', 'Standard_M416-104s_v2', 'Standard_D4_v4', 'Standard_D64s_v5', 'Standard_E8ds_v4', 'Standard_E16_v4', 'Standard_DS2_v2', 'Standard_DS4_v2', 'Standard_M64ms', 'Standard_D8s_v5', 'Standard_M32-16ms', 'Standard_D48_v4', 'Standard_E8-2s_v4', 'Standard_M64s', 'Standard_E64d_v4', 'Standard_F4s', 'Standard_D16s_v3', 'Standard_M128-32ms', 'Standard_E48s_v4', 'Standard_M32ls', 'Standard_A1_v2', 'Standard_E16s_v3', 'Standard_D32s_v3', 'Standard_F72s_v2', 'Standard_M16-4ms', 'Standard_E64ds_v4', 'Standard_D1', 'Standard_E32s_v3', 'Standard_F2', 'Standard_E32-16ds_v4', 'Standard_D16_v3', 'Standard_E64s_v3', 'Standard_A4m_v2', 'Standard_E8_v4', 'Standard_DS11', 'Standard_E32_v5', '', 'Standard_E4_v4', 'Standard_D32d_v4', 'Standard_D8_v3', 'Standard_M416-208ms_v2', 'Standard_F32s_v2', 'Standard_D11', 'Standard_D2', 'Standard_D32-8s_v3', 'Standard_M16-8ms', 'Standard_E4_v5', 'Standard_DS13_v2', 'Standard_E20s_v3', 'Standard_E2_v4', 'Standard_D64ds_v5', 'Standard_M64s_v2', 'Standard_F1s', 'Standard_D16d_v5', 'Standard_D15_v2', 'Standard_E64i_v3', 'Standard_D96_v5', 'Standard_M32s', 'Standard_E64_v4', 'Standard_D2d_v4', 'Standard_E8s_v3', 'Standard_M416-104ms_v2', 'Standard_DS3', 'Standard_DS11-1_v2', 'Standard_F8s', 'Standard_D4_v5', 'Standard_M8ms', 'Standard_M128ms_v2', 'Standard_DS14-8_v2', 'Standard_E32-8s_v4', 'Standard_DS12', 'Standard_DS4', 'Standard_E64is_v3', 'Standard_E32ds_v4', 'Standard_M16s', 'Basic_A3', 'Standard_D32ds_v4', 'Standard_E16-4s_v3', 'Standard_D12', 'Standard_D8_v5', 'Standard_E48d_v5', 'Standard_DS3_v2', 'Standard_M8-2ms', 'Standard_D2_v2', 'Standard_F4s_v2', 'Standard_M208s_v2', 'Standard_A4_v2', 'Standard_E20ds_v4', 'Standard_E32_v4', 'Standard_D32d_v5', 'Standard_D96ds_v5', 'Standard_E64-32s_v3', 'Standard_D64d_v5', 'Standard_D16_v4', 'Standard_E4-2ds_v4', 'Standard_D2_v4', 'Standard_E8-4s_v4', 'Standard_D13', 'Standard_D48s_v5', 'Standard_M416-208s_v2', 'Standard_M128s_v2', 'Standard_D2s_v5', 'Standard_F8s_v2', 'Standard_D48s_v3', 'Standard_D2s_v4', 'Standard_E2ds_v4', 'Standard_M8-4ms', 'Standard_E64-32s_v4', 'Standard_D16s_v4', 'Standard_E4d_v5', 'Standard_F16s', 'Standard_D4_v2', 'Standard_D8d_v4', 'Standard_E2d_v5', 'Standard_E2s_v3', 'Standard_E48d_v4', 'Standard_E16-8s_v3', 'Standard_D16ds_v4', 'Standard_D32-16s_v3', 'Standard_DS5_v2', 'Standard_A6', 'Standard_A2m_v2', 'Standard_D3_v2', 'Standard_D4d_v4', 'Standard_E20_v3', 'Standard_E20s_v4', 'Standard_D32_v4', 'Standard_D64ds_v4', 'Standard_M192ids_v2', 'Standard_E8-4ds_v4', 'Standard_M416is_v2', 'Standard_E16-4s_v4', 'Standard_D14', 'Standard_D2ds_v5', 'Standard_D64_v3', 'Standard_F48s_v2', 'Standard_E64d_v5', 'Standard_D1_v2', 'Standard_DS13-4_v2', 'Standard_D96s_v5', 'Standard_D8ds_v5', 'Standard_E2_v5', 'Standard_D13_v2', 'Standard_E8s_v4', 'Standard_E16s_v4', 'Standard_D64_v5', 'Standard_DS13-2_v2', 'Standard_D16d_v4', 'Standard_M32dms_v2', 'Standard_M128', 'Standard_A8m_v2', 'Standard_F2s', 'Standard_M32ms', 'Standard_D48_v5', 'Standard_D48_v3', 'Standard_E64s_v4', 'Standard_M208-52s_v2', 'Standard_D4s_v5', 'Standard_E8_v3', 'Standard_D4d_v5', 'Standard_E32d_v4', 'Standard_E4s_v3', 'Standard_DS13', 'Standard_D32s_v4', 'Standard_E8d_v4', 'Standard_A2_v2', 'Standard_D64s_v4', 'Standard_D11_v2', 'Standard_E16d_v5', 'Standard_E4-2s_v4', 'Standard_M208-104ms_v2', 'Standard_D48ds_v5', 'Standard_E80ids_v4', 'Standard_D4ds_v5', 'Standard_D96d_v5', 'Standard_E16_v3', 'Standard_M64-32ms', 'Standard_M64ms_v2', 'Standard_E2_v3', 'Standard_E64_v5', 'Standard_E8d_v5', 'Standard_E96d_v5', 'Standard_D4', 'Standard_D8s_v3', 'Standard_M64dms_v2', 'Standard_M208ms_v2', 'Standard_D64-32s_v3', 'Standard_E32s_v4', 'Standard_E48s_v3', 'Standard_D2d_v5', 'Standard_F4', 'Standard_E8_v5', 'Standard_F16', 'Standard_M208-104s_v2', 'Standard_D2_v5', 'Standard_M32ms_v2', 'Standard_E8-2s_v3', 'Standard_M64-16ms', 'Standard_DS2', 'Standard_D8s_v4', 'Standard_E16-8s_v4', 'Standard_E20d_v4', 'Standard_D4s_v4', 'Standard_D4s_v3', 'Standard_DS1', 'Standard_M416s_v2', 'Standard_F1', 'Standard_E48_v3', 'Standard_M128s', 'Standard_D8d_v5', 'Standard_M64', 'Standard_E48_v4', 'Basic_A0', 'Standard_D4ds_v4', 'Standard_DS11_v2', 'Standard_D14_v2', 'Standard_M416ms_v2', 'Standard_D5_v2', 'Standard_E20d_v5', 'Standard_E4_v3', 'Standard_DS14_v2', 'Standard_F8', 'Standard_E4-2s_v3', 'Standard_F2s_v2', 'Standard_DS15i_v2', 'Standard_D48d_v5', 'Standard_D64-16s_v3', 'Standard_E4ds_v4', 'Standard_E8-4s_v3', 'Standard_M192is_v2', 'Standard_M32ts', 'Standard_E4d_v4', 'Standard_E48ds_v4', 'Standard_M192ims_v2', 'Standard_E48_v5', 'Standard_M64ls', 'Standard_E16ds_v4', 'Standard_D3', 'Standard_F64s_v2', 'Standard_E96_v5', 'Standard_D15i_v2', 'Standard_D4_v3', 'Standard_E32-16s_v3', 'Standard_D8ds_v4', 'Standard_A4', 'Standard_E64-16s_v4', 'Basic_A2', 'Standard_A0', 'Standard_E64-32ds_v4', 'Standard_D32s_v5', 'Standard_M128ms', 'Standard_E32-8s_v3', 'Standard_E16-4ds_v4', 'Standard_D2s_v3', 'Standard_D64_v4', 'Standard_D16s_v5', 'Standard_A7', 'Standard_E4s_v4', 'Standard_D48d_v4', 'Standard_M64m', 'Standard_E16_v5', 'Standard_M128m', 'Standard_E64-16ds_v4', 'Standard_D32ds_v5', 'Standard_D2_v3', 'Standard_E2s_v4', 'Standard_D12_v2', 'Standard_M208-52ms_v2', 'Standard_E32d_v5', 'Standard_M128-64ms', 'Standard_M128dms_v2', 'Standard_M16ms', 'Standard_A3', 'Standard_D2ds_v4', 'Standard_A2', 'Standard_E32_v3', 'Standard_E32-8ds_v4', 'Standard_D48s_v4', 'Standard_E20_v5', 'Standard_E16d_v4', 'Standard_DS12-2_v2', 'Standard_E32-16s_v4'],
'brazilsouth': ['Standard_M416s_v2', 'Standard_E8-2as_v4', 'Standard_F4s', 'Standard_E48_v3', 'Standard_D11', 'Standard_D2s_v4', 'Standard_F8s', 'Standard_DS15_v2', 'Standard_D4', 'Standard_D48d_v5', 'Standard_E48d_v5', 'Standard_D16_v5', 'Standard_E16_v4', 'Standard_A5', 'Standard_M64', 'Standard_D96_v5', 'Standard_E20s_v4', 'Standard_DS3', 'Standard_A3', 'Standard_D48ds_v4', 'Standard_E4-2ds_v4', 'Standard_DS13-2_v2', 'Standard_E2as_v4', 'Standard_E64as_v4', 'Standard_D5_v2', 'Standard_D16s_v5', 'Standard_D4_v2', 'Standard_E16_v5', 'Standard_E32s_v3', 'Standard_D8_v5', 'Standard_E64a_v4', 'Standard_DS2', 'Standard_E8_v5', 'Standard_E16-4s_v4', 'Standard_E48d_v4', 'Standard_M64m', 'Standard_F4s_v2', 'Standard_D32-8s_v3', 'Standard_D2_v3', 'Standard_E64is_v3', 'Standard_D2a_v4', 'Standard_D2', 'Standard_A8_v2', 'Standard_D32_v4', 'Standard_E20_v3', 'Standard_D96as_v4', 'Standard_M128-32ms', 'Standard_E16-8as_v4', 'Standard_DS13_v2', 'Standard_E8d_v4', 'Standard_F8s_v2', 'Standard_D16s_v3', 'Standard_E64s_v3', 'Standard_E8s_v3', 'Standard_E64_v3', 'Standard_D4ds_v5', 'Standard_M8ms', 'Standard_D2_v4', 'Standard_DS13-4_v2', 'Standard_F16', 'Standard_D8d_v4', 'Standard_D8s_v4', 'Standard_E8a_v4', 'Standard_E32-16ds_v4', 'Standard_E48s_v4', 'Standard_E64d_v5', 'Standard_D8_v4', 'Standard_A2', 'Standard_M128-64ms', 'Standard_E48ds_v4', 'Standard_E16-4ds_v4', 'Standard_D14', 'Standard_E32d_v5', 'Standard_M208-52s_v2', 'Standard_E8-2s_v3', 'Standard_F72s_v2', 'Standard_E48s_v3', 'Standard_E2_v3', 'Standard_D1_v2', 'Standard_D8ds_v5', 'Standard_E16-8ds_v4', 'Standard_E2d_v5', 'Standard_D16ds_v5', 'Standard_D48_v4', 'Standard_M128s_v2', 'Standard_E64d_v4', 'Standard_E8_v4', 'Standard_D32_v5', 'Standard_E4d_v4', 'Standard_D15i_v2', 'Standard_F1s', 'Standard_NV12s_v3', 'Standard_F2', 'Standard_A1', 'Standard_M416-208s_v2', 'Standard_E8as_v4', 'Standard_D2_v5', 'Standard_E64_v5', 'Standard_E16d_v5', 'Standard_D2ds_v5', 'Standard_F48s_v2', 'Standard_D48s_v4', 'Standard_M16-4ms', 'Standard_E64s_v4', 'Standard_D64s_v3', 'Standard_E80is_v4', 'Standard_D64s_v5', 'Standard_D32s_v4', 'Standard_DS12_v2', 'Standard_E96-24as_v4', 'Standard_M416ms_v2', 'Standard_A0', 'Standard_D32d_v4', 'Standard_M64dms_v2', 'Standard_E20_v4', 'Standard_E16-4as_v4', 'Standard_D32as_v4', 'Standard_E20d_v4', 'Standard_E32-8s_v4', 'Standard_E64-16as_v4', 'Standard_E4_v5', 'Standard_E8-4as_v4', '', 'Standard_E64_v4', 'Standard_D48a_v4', 'Standard_D8a_v4', 'Standard_D4as_v4', 'Standard_D16d_v4', 'Standard_F16s', 'Standard_D64s_v4', 'Standard_E2_v4', 'Standard_M416-104s_v2', 'Standard_E20a_v4', 'Standard_DS13', 'Basic_A4', 'Standard_E16a_v4', 'Standard_D2d_v5', 'Standard_E4_v3', 'Standard_DS2_v2', 'Standard_E8-4ds_v4', 'Standard_DS12-2_v2', 'Standard_E20ds_v4', 'Standard_F32s_v2', 'Standard_M128ms_v2', 'Standard_M16ms', 'Standard_D3_v2', 'Standard_D2as_v4', 'Standard_DS12', 'Standard_D8s_v3', 'Standard_E8d_v5', 'Standard_D64as_v4', 'Standard_M32ls', 'Standard_D12', 'Standard_DS3_v2', 'Standard_D32d_v5', 'Standard_D4a_v4', 'Standard_DS15i_v2', 'Standard_E96as_v4', 'Standard_D4_v3', 'Standard_A2m_v2', 'Standard_E2a_v4', 'Standard_D15_v2', 'Standard_M32ms_v2', 'Standard_E32-16s_v4', 'Standard_E16d_v4', 'Standard_M32dms_v2', 'Standard_E96-48as_v4', 'Standard_D32-16s_v3', 'Standard_E4as_v4', 'Standard_M16-8ms', 'Standard_A4', 'Standard_D4s_v4', 'Standard_A6', 'Standard_M8-2ms', 'Standard_D8as_v4', 'Standard_M32-8ms', 'Standard_E4-2as_v4', 'Standard_E32s_v4', 'Standard_E64-32as_v4', 'Standard_E4ds_v4', 'Standard_D2s_v3', 'Standard_E2s_v3', 'Standard_D96a_v4', 'Standard_D32ds_v4', 'Standard_E16ds_v4', 'Standard_A4m_v2', 'Standard_M32ts', 'Standard_D64d_v4', 'Standard_D8_v3', 'Standard_D96s_v5', 'Standard_A1_v2', 'Standard_M416-104ms_v2', 'Standard_D96ds_v5', 'Standard_D8s_v5', 'Standard_F64s_v2', 'Standard_E8s_v4', 'Standard_A7', 'Standard_D4s_v3', 'Standard_D4d_v5', 'Standard_D4s_v5', 'Basic_A2', 'Standard_E32-8as_v4', 'Standard_E16-8s_v4', 'Standard_E96_v5', 'Standard_E32-16s_v3', 'Standard_E64-16ds_v4', 'Standard_E32-8s_v3', 'Standard_E32_v4', 'Standard_E32d_v4', 'Standard_E32_v5', 'Standard_D64-32s_v3', 'Standard_E32as_v4', 'Standard_D8d_v5', 'Standard_E4a_v4', 'Standard_DS14_v2', 'Standard_D16s_v4', 'Standard_D64-16s_v3', 'Standard_E64i_v3', 'Standard_E2ds_v4', 'Standard_D16ds_v4', 'Standard_E20_v5', 'Standard_DS11', 'Standard_E8-4s_v3', 'Standard_M128s', 'Standard_M208-52ms_v2', 'Standard_D64a_v4', 'Standard_E8ds_v4', 'Standard_E48as_v4', 'Standard_M128m', 'Standard_D64_v3', 'Standard_M208s_v2', 'Standard_D14_v2', 'Standard_E20as_v4', 'Standard_D2s_v5', 'Standard_M64ms', 'Standard_M416-208ms_v2', 'Standard_D11_v2', 'Standard_D4_v5', 'Standard_D32ds_v5', 'Standard_M208-104s_v2', 'Standard_F4', 'Standard_DS12-1_v2', 'Standard_E16as_v4', 'Standard_F2s_v2', 'Standard_E32a_v4', 'Standard_E64-32ds_v4', 'Standard_D32s_v5', 'Standard_E32ds_v4', 'Standard_D48as_v4', 'Standard_E16s_v4', 'Standard_M64-16ms', 'Standard_D16_v3', 'Standard_D48_v3', 'Standard_E8-4s_v4', 'Standard_M64s', 'Standard_E64ds_v4', 'Standard_M16s', 'Standard_M64ls', 'Standard_M32-16ms', 'Standard_M192ids_v2', 'Basic_A1', 'Standard_D48s_v5', 'Standard_D64ds_v5', 'Standard_DS11-1_v2', 'Standard_F2s', 'Standard_E96a_v4', 'Standard_F1', 'Standard_D2ds_v4', 'Standard_D3', 'Standard_E8-2s_v4', 'Standard_M64ds_v2', 'Standard_DS4_v2', 'Standard_F8', 'Standard_M64ms_v2', 'Standard_D96d_v5', 'Standard_M192ims_v2', 'Standard_E8_v3', 'Standard_D16as_v4', 'Standard_D32_v3', 'Standard_DS14-4_v2', 'Standard_M128ds_v2', 'Standard_M64s_v2', 'Standard_E64-32s_v3', 'Standard_E16-4s_v3', 'Standard_E2d_v4', 'Standard_E4-2s_v4', 'Standard_M192is_v2', 'Standard_E16-8s_v3', 'Standard_M208-104ms_v2', 'Standard_E48_v4', 'Standard_E2_v5', 'Standard_E64-16s_v3', 'Standard_D4d_v4', 'Standard_M8-4ms', 'Standard_D16_v4', 'Standard_M32ms', 'Standard_D2d_v4', 'Standard_E32-8ds_v4', 'Standard_E96d_v5', 'Standard_E8-2ds_v4', 'Standard_E64-16s_v4', 'Standard_D13', 'Standard_DS11_v2', 'Standard_D48d_v4', 'Standard_E32_v3', 'Standard_E20s_v3', 'Standard_DS5_v2', 'Standard_D48s_v3', 'Standard_E20d_v5', 'Standard_A8m_v2', 'Standard_E16s_v3', 'Standard_D64_v4', 'Standard_E48a_v4', 'Standard_D48ds_v5', 'Standard_DS14-8_v2', 'Standard_D12_v2', 'Standard_A2_v2', 'Standard_DS1', 'Standard_M32s', 'Standard_NV48s_v3', 'Standard_E4-2s_v3', 'Standard_E4s_v4', 'Standard_M192idms_v2', 'Standard_D13_v2', 'Standard_D64d_v5', 'Standard_F16s_v2', 'Standard_D16a_v4', 'Standard_E48_v5', 'Standard_M128dms_v2', 'Standard_M208ms_v2', 'Standard_DS1_v2', 'Standard_E16_v3', 'Standard_E80ids_v4', 'Standard_D4_v4', 'Standard_D1', 'Standard_D2_v2', 'Standard_M64-32ms', 'Standard_D16d_v5', 'Standard_A4_v2', 'Standard_E4_v4', 'Standard_D64_v5', 'Standard_D64ds_v4', 'Standard_D48_v5', 'Basic_A0', 'Standard_DS14', 'Standard_E4d_v5', 'Standard_E64-32s_v4', 'Standard_M416is_v2', 'Standard_NV24s_v3', 'Standard_M128ms', 'Standard_D32a_v4', 'Basic_A3', 'Standard_D8ds_v4', 'Standard_E4s_v3', 'Standard_E32-16as_v4', 'Standard_DS4', 'Standard_E2s_v4', 'Standard_M128', 'Standard_D4ds_v4', 'Standard_D32s_v3'],
'australiasoutheast': ['Standard_F16', '', 'Standard_M208s_v2', 'Standard_D64d_v5', 'Standard_E20s_v4', 'Standard_E8_v4', 'Standard_DS11_v2', 'Standard_E4d_v4', 'Standard_DS11-1_v2', 'Standard_D14', 'Standard_D32-8s_v3', 'Standard_D5_v2', 'Standard_E32_v4', 'Standard_D48ds_v5', 'Standard_E32s_v4', 'Standard_E96_v5', 'Standard_D16s_v3', 'Standard_M416-104s_v2', 'Standard_DS12-1_v2', 'Standard_DS3_v2', 'Standard_E20d_v4', 'Standard_D8ds_v5', 'Standard_E16_v4', 'Standard_D2_v3', 'Standard_E20_v5', 'Standard_D32s_v3', 'Standard_DS14-4_v2', 'Basic_A4', 'Standard_DS2_v2', 'Standard_D4_v3', 'Standard_A2', 'Standard_D32ds_v4', 'Standard_E64-16ds_v4', 'Standard_D16d_v4', 'Standard_D3_v2', 'Standard_DS4_v2', 'Standard_E48_v3', 'Standard_D32_v4', 'Standard_E8-4s_v4', 'Standard_A2_v2', 'Standard_A8_v2', 'Standard_D32_v5', 'Standard_E20_v4', 'Standard_D11_v2', 'Standard_DS4', 'Standard_M208-104ms_v2', 'Standard_F2', 'Standard_E20_v3', 'Standard_D32d_v5', 'Standard_A4', 'Standard_D48d_v4', 'Standard_A6', 'Standard_D2', 'Standard_DS13_v2', 'Standard_E16d_v5', 'Standard_M128m', 'Standard_A1_v2', 'Standard_D16ds_v4', 'Standard_M416-104ms_v2', 'Standard_E64_v4', 'Standard_DS13', 'Standard_E8-4s_v3', 'Standard_D16ds_v5', 'Standard_D2s_v5', 'Standard_F8s_v2', 'Standard_D64s_v3', 'Standard_E16-4ds_v4', 'Standard_M416-208s_v2', 'Standard_D12', 'Standard_F16s_v2', 'Standard_F1s', 'Standard_DC4s_v2', 'Standard_E64is_v3', 'Standard_E96d_v5', 'Standard_E32ds_v4', 'Standard_D1_v2', 'Standard_M16s', 'Standard_M32ms', 'Standard_M8-4ms', 'Standard_M8ms', 'Standard_M208-52ms_v2', 'Standard_E8s_v3', 'Standard_A4m_v2', 'Standard_E8-2ds_v4', 'Standard_D64-16s_v3', 'Standard_D16_v3', 'Standard_M16-4ms', 'Standard_M416is_v2', 'Standard_F4', 'Standard_F72s_v2', 'Standard_F4s_v2', 'Standard_D48_v4', 'Standard_DS1', 'Basic_A3', 'Standard_E8-2s_v4', 'Standard_M208-52s_v2', 'Standard_D4d_v5', 'Standard_E32s_v3', 'Standard_D15i_v2', 'Standard_D4ds_v5', 'Standard_E80is_v4', 'Standard_A3', 'Standard_E64s_v3', 'Standard_E48d_v5', 'Standard_E4ds_v4', 'Standard_D48d_v5', 'Standard_E64i_v3', 'Standard_F64s_v2', 'Standard_D15_v2', 'Standard_M128-32ms', 'Standard_E4_v3', 'Standard_D4_v5', 'Standard_D8d_v4', 'Standard_M32s', 'Standard_F16s', 'Standard_D2s_v4', 'Standard_D48_v5', 'Standard_D8s_v4', 'Standard_DS13-2_v2', 'Standard_D13', 'Standard_D64_v5', 'Standard_D4ds_v4', 'Standard_D12_v2', 'Standard_E8_v3', 'Standard_M128', 'Standard_E8s_v4', 'Standard_D16_v4', 'Standard_E2s_v3', 'Standard_E2_v3', 'Standard_M32-8ms', 'Standard_E32-8s_v3', 'Standard_D32s_v4', 'Standard_D64s_v4', 'Standard_E4d_v5', 'Standard_D64-32s_v3', 'Standard_D48s_v3', 'Standard_M16-8ms', 'Standard_E16-8ds_v4', 'Standard_E48_v5', 'Standard_F8s', 'Standard_D8s_v3', 'Standard_DS14_v2', 'Standard_DS13-4_v2', 'Standard_D64ds_v5', 'Standard_DC8_v2', 'Standard_E4_v4', 'Standard_D64ds_v4', 'Standard_D48s_v5', 'Standard_M416ms_v2', 'Standard_E64s_v4', 'Standard_D64s_v5', 'Standard_E32-16s_v3', 'Standard_E64_v5', 'Standard_M128-64ms', 'Standard_E64d_v4', 'Standard_F1', 'Standard_F2s_v2', 'Standard_D2ds_v4', 'Standard_D8_v4', 'Standard_DS11', 'Basic_A1', 'Standard_E20d_v5', 'Standard_M64s', 'Standard_E48ds_v4', 'Standard_D4_v2', 'Standard_D4s_v4', 'Standard_D32d_v4', 'Standard_E16ds_v4', 'Standard_E16d_v4', 'Standard_E32-8ds_v4', 'Standard_D48ds_v4', 'Standard_DS12_v2', 'Standard_E64-16s_v3', 'Standard_F32s_v2', 'Standard_E20s_v3', 'Standard_E32-8s_v4', 'Standard_E16-8s_v4', 'Standard_M64ls', 'Standard_D96d_v5', 'Standard_D11', 'Standard_M64-32ms', 'Standard_DS14', 'Standard_E64-32s_v4', 'Standard_D8_v5', 'Standard_E16s_v3', 'Standard_A8m_v2', 'Standard_E16_v3', 'Standard_E4-2ds_v4', 'Standard_M64ms', 'Standard_E48s_v3', 'Standard_F8', 'Standard_D8d_v5', 'Standard_D2_v5', 'Standard_DS3', 'Standard_E2_v5', 'Standard_E64d_v5', 'Standard_A0', 'Standard_D96_v5', 'Standard_M8-2ms', 'Standard_E4-2s_v4', 'Standard_D2_v2', 'Standard_M64m', 'Standard_D14_v2', 'Standard_E8d_v4', 'Standard_D16d_v5', 'Standard_M32-16ms', 'Standard_D8s_v5', 'Standard_D3', 'Standard_DS1_v2', 'Standard_E32d_v4', 'Standard_D8ds_v4', 'Standard_E32-16s_v4', 'Standard_DS5_v2', 'Standard_D2d_v4', 'Standard_D4s_v5', 'Standard_D16s_v4', 'Standard_E4s_v3', 'Standard_E16-8s_v3', 'Standard_D64d_v4', 'Standard_E8-2s_v3', 'Standard_E16-4s_v4', 'Standard_A1', 'Standard_D1', 'Standard_DS2', 'Standard_D96s_v5', 'Standard_E48_v4', 'Standard_F4s', 'Standard_A2m_v2', 'Standard_E48s_v4', 'Standard_D2s_v3', 'Standard_D16_v5', 'Standard_A7', 'Standard_M208-104s_v2', 'Standard_D64_v3', 'Standard_M32ls', 'Standard_E8d_v5', 'Standard_E2s_v4', 'Standard_M32ts', 'Standard_E4s_v4', 'Standard_D96ds_v5', 'Standard_D32-16s_v3', 'Standard_M64-16ms', 'Standard_D16s_v5', 'Standard_E2_v4', 'Standard_E16_v5', 'Standard_D4s_v3', 'Standard_M208ms_v2', 'Standard_E32d_v5', 'Standard_DC1s_v2', 'Standard_D13_v2', 'Standard_F48s_v2', 'Standard_D2ds_v5', 'Standard_F2s', 'Standard_E16s_v4', 'Standard_D2d_v5', 'Standard_E64_v3', 'Standard_M128s', 'Standard_E4_v5', 'Standard_E64-16s_v4', 'Standard_D48_v3', 'Standard_M16ms', 'Standard_D32ds_v5', 'Standard_E32_v3', 'Standard_E8ds_v4', 'Standard_E32-16ds_v4', 'Standard_D64_v4', 'Standard_E32_v5', 'Standard_D32s_v5', 'Standard_D4d_v4', 'Standard_DS12', 'Standard_DS14-8_v2', 'Standard_M128ms', 'Standard_E2d_v5', 'Standard_D2_v4', 'Standard_E20ds_v4', 'Standard_E64-32s_v3', 'Basic_A2', 'Standard_D8_v3', 'Standard_E2d_v4', 'Standard_DC2s_v2', 'Standard_E80ids_v4', 'Standard_D4_v4', 'Standard_DS12-2_v2', 'Standard_M416s_v2', 'Standard_D48s_v4', 'Standard_E4-2s_v3', 'Standard_D4', 'Standard_E48d_v4', 'Basic_A0', 'Standard_A5', 'Standard_DS15i_v2', 'Standard_E8_v5', 'Standard_E64-32ds_v4', 'Standard_E2ds_v4', 'Standard_E16-4s_v3', 'Standard_A4_v2', 'Standard_E64ds_v4', 'Standard_D32_v3', 'Standard_M64', 'Standard_M416-208ms_v2', 'Standard_DS15_v2', 'Standard_E8-4ds_v4'],
'australiaeast': ['Standard_E64-16s_v4', 'Standard_E8ds_v4', 'Standard_E16d_v4', 'Standard_L8s', 'Standard_G5', 'Standard_M16-8ms', 'Standard_D64s_v3', 'Standard_D16_v4', 'Standard_M64ms', 'Standard_E4_v5', 'Standard_D3', 'Standard_D4_v3', 'Standard_D8_v4', 'Standard_E16_v3', 'Standard_D48d_v4', 'Standard_E16_v4', 'Standard_F8s_v2', 'Standard_L32s', 'Standard_E48_v3', 'Standard_A4', 'Standard_E64-16as_v4', 'Standard_NC8as_T4_v3', 'Standard_E64a_v4', 'Standard_M128-64ms', 'Standard_DS14_v2', 'Standard_E16-4ds_v4', 'Standard_M192idms_v2', 'Standard_E16-8s_v4', 'Standard_E8-4ds_v4', 'Standard_F8s', 'Standard_D4_v5', 'Standard_E16as_v4', 'Standard_L88is_v2', 'Standard_F2', 'Standard_F16', 'Standard_D2_v2', 'Standard_F4', 'Standard_E48_v4', 'Standard_E32-16as_v4', 'Standard_E8-2s_v4', 'Standard_E2as_v4', 'Standard_GS3', 'Standard_D11_v2', 'Standard_D32s_v4', 'Standard_D2ds_v5', 'Standard_NC24rs_v3', 'Standard_E4-2ds_v4', 'Standard_NC12', 'Standard_D2', 'Standard_F48s_v2', 'Standard_L96s_v2', 'Standard_D16ds_v5', 'Standard_F72s_v2', 'Standard_E8_v4', 'Standard_E64-32s_v3', 'Standard_E64d_v5', 'Standard_D13', 'Standard_D14_v2', 'Standard_DS15_v2', 'Standard_E96-24as_v4', 'Standard_M128-32ms', 'Standard_D48s_v3', 'Standard_A6', 'Standard_D4a_v4', 'Standard_E48as_v4', 'Standard_E8a_v4', 'Standard_NV4as_v4', 'Standard_E8_v3', 'Standard_M128ms', 'Standard_H8m', 'Standard_DS14', 'Standard_M32ts', 'Standard_GS4', 'Standard_F1s', 'Standard_E32d_v5', 'Standard_E8d_v4', 'Standard_A8_v2', 'Standard_M128m', 'Standard_G2', 'Standard_E32-16ds_v4', 'Standard_M192ids_v2', 'Standard_E4a_v4', 'Standard_D32_v4', 'Standard_E32_v4', 'Standard_D13_v2', 'Standard_E8-4as_v4', 'Standard_D8as_v4', 'Standard_M32-16ms', 'Standard_D16as_v4', 'Standard_NC12s_v3', 'Standard_D16_v3', 'Standard_E48a_v4', 'Standard_E20ds_v4', 'Standard_D4ds_v5', 'Standard_F64s_v2', 'Standard_E8-2ds_v4', 'Standard_DS12-1_v2', 'Standard_E32_v3', 'Standard_E2_v3', 'Standard_M64-16ms', 'Standard_D16_v5', 'Standard_M128', 'Standard_D64-32s_v3', 'Standard_GS4-4', 'Standard_F32s_v2', 'Standard_DC4s_v2', 'Standard_E4_v3', 'Standard_NV16as_v4', 'Standard_NC4as_T4_v3', 'Standard_D8_v3', 'Standard_F2s_v2', 'Standard_M64ms_v2', 'Standard_E4d_v4', 'Standard_M128ds_v2', 'Standard_D2d_v5', 'Standard_DS4', 'Standard_E32-8s_v3', 'Standard_NV12s_v3', 'Standard_M8-4ms', 'Standard_E48d_v5', 'Standard_NC24s_v3', 'Standard_D2a_v4', 'Standard_DS15i_v2', 'Standard_GS4-8', 'Standard_M208-52ms_v2', 'Standard_A0', 'Standard_DS2_v2', 'Standard_H16', 'Standard_D8d_v4', 'Basic_A2', 'Standard_E64s_v3', 'Standard_DS14-8_v2', 'Standard_DS13_v2', 'Standard_E2d_v5', 'Standard_D96ds_v5', 'Standard_DS14-4_v2', 'Standard_E8s_v4', 'Standard_DS2', 'Standard_E32s_v4', 'Standard_D64-16s_v3', 'Standard_HB120rs_v2', 'Standard_E48d_v4', 'Standard_D8s_v5', 'Standard_E2s_v3', 'Standard_D48_v3', 'Standard_E32-8ds_v4', 'Standard_M64ds_v2', 'Standard_E20d_v5', 'Standard_D16ds_v4', 'Standard_D16s_v4', 'Standard_D64d_v4', 'Standard_D48as_v4', 'Standard_E64d_v4', 'Standard_D32a_v4', 'Standard_D96d_v5', 'Standard_E8_v5', 'Standard_E2s_v4', 'Standard_DC8_v2', 'Standard_D2_v3', 'Standard_DS5_v2', 'Standard_DC1s_v2', 'Standard_E8-4s_v3', 'Standard_M416ms_v2', 'Standard_D2s_v5', 'Standard_D2d_v4', 'Standard_DS3', 'Standard_F1', '', 'Standard_E4-2as_v4', 'Standard_E4-2s_v4', 'Standard_L64s_v2', 'Standard_A5', 'Standard_DS12', 'Standard_L16s_v2', 'Standard_F4s', 'Standard_D32s_v5', 'Standard_A3', 'Standard_D4_v2', 'Standard_DS3_v2', 'Standard_L48s_v2', 'Standard_F16s', 'Standard_DS13-4_v2', 'Standard_M192ims_v2', 'Standard_L32s_v2', 'Standard_D64s_v5', 'Standard_A2', 'Standard_D4s_v5', 'Standard_DS12_v2', 'Standard_E48s_v4', 'Standard_E4as_v4', 'Standard_NC64as_T4_v3', 'Standard_D14', 'Standard_D64a_v4', 'Standard_GS1', 'Standard_E16-8ds_v4', 'Standard_E20a_v4', 'Standard_E64_v4', 'Standard_A1_v2', 'Standard_E80is_v4', 'Standard_E48_v5', 'Standard_D32d_v5', 'Standard_D8_v5', 'Standard_E4d_v5', 'Standard_NV24s_v3', 'Standard_L8s_v2', 'Standard_E64_v3', 'Standard_NC24r', 'Standard_M416-104s_v2', 'Standard_D48d_v5', 'Standard_M416-104ms_v2', 'Standard_M16ms', 'Standard_E16a_v4', 'Standard_E2d_v4', 'Standard_M64s', 'Standard_DS12-2_v2', 'Standard_E8d_v5', 'Standard_E64i_v3', 'Standard_D48ds_v4', 'Standard_M32s', 'Standard_E4-2s_v3', 'Standard_D2s_v4', 'Standard_M128s_v2', 'Standard_E4_v4', 'Standard_E96as_v4', 'Standard_E20_v3', 'Standard_M32ms_v2', 'Standard_NV6', 'Standard_D8d_v5', 'Standard_M128ms_v2', 'Standard_D4s_v3', 'Standard_M32ls', 'Standard_M64m', 'Standard_M8ms', 'Standard_D16s_v3', 'Standard_D3_v2', 'Standard_D2s_v3', 'Standard_M64s_v2', 'Standard_M32-8ms', 'Standard_D96_v5', 'Standard_GS2', 'Standard_GS5', 'Standard_DS1', 'Standard_M64dms_v2', 'Standard_E20s_v4', 'Standard_E32-8s_v4', 'Standard_DS11', 'Standard_D32-8s_v3', 'Basic_A4', 'Standard_D48ds_v5', 'Standard_NC24', 'Standard_D4d_v5', 'Standard_E16-4s_v3', 'Standard_E64_v5', 'Standard_E32-16s_v3', 'Standard_D12', 'Standard_H8', 'Standard_D16d_v5', 'Standard_A4m_v2', 'Standard_M208-104ms_v2', 'Standard_NV8as_v4', 'Standard_D48s_v5', 'Standard_E4ds_v4', 'Standard_E32d_v4', 'Standard_E64ds_v4', 'Standard_D1_v2', 'Standard_E16ds_v4', 'Standard_E2_v4', 'Standard_M416-208ms_v2', 'Standard_D32s_v3', 'Standard_E96a_v4', 'Standard_L16s', 'Standard_D15_v2', 'Standard_D15i_v2', 'Standard_M128s', 'Standard_DS4_v2', 'Standard_D64as_v4', 'Standard_D48a_v4', 'Standard_D32ds_v5', 'Standard_E32-8as_v4', 'Standard_GS5-8', 'Basic_A1', 'Standard_E64-16s_v3', 'Standard_DS11_v2', 'Standard_E8s_v3', 'Standard_NC6', 'Standard_E48ds_v4', 'Standard_D8s_v3', 'Standard_NV48s_v3', 'Standard_M208s_v2', 'Standard_A8m_v2', 'Standard_D96s_v5', 'Standard_E20as_v4', 'Standard_E32s_v3', 'Standard_E16-4s_v4', 'Standard_M192is_v2', 'Standard_E20d_v4', 'Standard_M416-208s_v2', 'Standard_D32as_v4', 'Standard_D4ds_v4', 'Standard_DS13', 'Standard_E64s_v4', 'Standard_E2ds_v4', 'Standard_A2m_v2', 'Standard_E48s_v3', 'Standard_D11', 'Standard_E20_v4', 'Standard_L4s', 'Standard_D16d_v4', 'Standard_D96as_v4', 'Standard_F2s', 'Standard_F8', 'Standard_DC2s_v2', 'Standard_D4', 'Standard_M208-52s_v2', 'Standard_E32ds_v4', 'Basic_A3', 'Standard_D2as_v4', 'Standard_NV24', 'Standard_DS11-1_v2', 'Standard_M64', 'Standard_E80ids_v4', 'Standard_A4_v2', 'Standard_D16a_v4', 'Standard_D64s_v4', 'Standard_M8-2ms', 'Standard_D48_v4', 'Standard_E4s_v3', 'Standard_H16m', 'Standard_A2_v2', 'Standard_D1', 'Standard_D64d_v5', 'Standard_E32a_v4', 'Standard_E64-32ds_v4', 'Standard_G4', 'Standard_M416is_v2', 'Standard_H16r', 'Standard_DS13-2_v2', 'Standard_E20s_v3', 'Standard_D64_v5', 'Standard_E4s_v4', 'Standard_M128dms_v2', 'Standard_E2_v5', 'Standard_A7', 'Standard_D32_v3', 'Standard_NV32as_v4', 'Standard_M16s', 'Basic_A0', 'Standard_D8ds_v4', 'Standard_M32ms', 'Standard_A1', 'Standard_E64-32as_v4', 'Standard_M416s_v2', 'Standard_L80s_v2', 'Standard_E2a_v4', 'Standard_M32dms_v2', 'Standard_E96d_v5', 'Standard_NC16as_T4_v3', 'Standard_D64ds_v4', 'Standard_D4_v4', 'Standard_D96a_v4', 'Standard_E8as_v4', 'Standard_GS5-16', 'Standard_E16-4as_v4', 'Standard_E64as_v4', 'Standard_M16-4ms', 'Standard_D48_v5', 'Standard_DS1_v2', 'Standard_D64ds_v5', 'Standard_D32_v5', 'Standard_E32_v5', 'Standard_E32as_v4', 'Standard_D2_v5', 'Standard_E8-2s_v3', 'Standard_F16s_v2', 'Standard_NC6s_v3', 'Standard_D16s_v5', 'Standard_E8-4s_v4', 'Standard_D2ds_v4', 'Standard_D8s_v4', 'Standard_NV12', 'Standard_D32ds_v4', 'Standard_E64is_v3', 'Standard_E8-2as_v4', 'Standard_E64-32s_v4', 'Standard_E16s_v3', 'Standard_D64_v4', 'Standard_M64ls', 'Standard_D4s_v4', 'Standard_E16s_v4', 'Standard_D4d_v4', 'Standard_D12_v2', 'Standard_D2_v4', 'Standard_D8a_v4', 'Standard_D32-16s_v3', 'Standard_E32-16s_v4', 'Standard_H16mr', 'Standard_F4s_v2', 'Standard_M208ms_v2', 'Standard_E16-8s_v3', 'Standard_D4as_v4', 'Standard_G1', 'Standard_D5_v2', 'Standard_E64-16ds_v4', 'Standard_E16_v5', 'Standard_G3', 'Standard_M208-104s_v2', 'Standard_M64-32ms', 'Standard_D8ds_v5', 'Standard_D48s_v4', 'Standard_D64_v3', 'Standard_E16d_v5', 'Standard_E16-8as_v4', 'Standard_D32d_v4', 'Standard_E96-48as_v4', 'Standard_E20_v5', 'Standard_E96_v5'],
'westindia': ['Standard_DS4_v2', 'Standard_D3', 'Standard_D8d_v4', 'Standard_DS14-8_v2', 'Standard_D2_v3', 'Standard_E16d_v4', 'Standard_E64-16s_v3', 'Standard_D16d_v5', 'Standard_D2ds_v5', 'Standard_A4_v2', 'Standard_D48ds_v5', 'Basic_A1', 'Standard_D15_v2', 'Standard_F4s', 'Standard_E32_v4', 'Standard_E32ds_v4', 'Standard_D11', 'Standard_A1_v2', 'Standard_E8_v3', 'Standard_E64d_v4', 'Standard_D2', 'Standard_E20d_v5', 'Standard_D48_v5', 'Standard_D8ds_v5', 'Standard_D13_v2', 'Standard_D8d_v5', 'Standard_E32d_v5', 'Standard_E2s_v3', 'Standard_D48ds_v4', 'Basic_A3', 'Standard_D64s_v5', 'Standard_D4_v4', 'Standard_D32_v4', 'Standard_F4', 'Standard_E4s_v4', 'Standard_E8s_v4', 'Standard_D4s_v4', 'Standard_D2s_v4', 'Standard_E8d_v5', 'Standard_D2d_v5', 'Standard_D4d_v4', 'Standard_D96d_v5', 'Standard_F2', 'Standard_D16s_v3', 'Standard_A4m_v2', 'Standard_E96_v5', 'Standard_D16_v3', 'Standard_D4d_v5', 'Standard_E64-32ds_v4', 'Standard_F48s_v2', 'Standard_D4s_v3', 'Standard_E32-8ds_v4', 'Standard_D48s_v3', 'Standard_A7', 'Standard_D4', 'Standard_E16s_v4', 'Standard_E16_v5', 'Standard_F4s_v2', 'Standard_A6', 'Standard_D8s_v3', 'Standard_D64_v5', 'Standard_A2m_v2', 'Standard_D48_v3', 'Standard_E32-16ds_v4', 'Standard_D32_v3', 'Standard_D2s_v5', 'Standard_E64is_v3', 'Standard_E16-8s_v4', 'Standard_D96s_v5', 'Standard_E64d_v5', 'Standard_E80ids_v4', 'Standard_D64s_v4', 'Standard_DS14-4_v2', 'Standard_D2_v4', 'Standard_D64d_v4', 'Standard_E4-2s_v3', 'Standard_E16-8s_v3', 'Standard_E4-2s_v4', 'Standard_E2s_v4', 'Standard_D48_v4', 'Standard_D3_v2', 'Standard_DS15_v2', 'Standard_A8m_v2', 'Standard_E2_v4', 'Standard_DS13-4_v2', 'Standard_DS13_v2', 'Standard_DS12_v2', 'Standard_D64ds_v4', 'Standard_D4_v2', 'Standard_F72s_v2', 'Standard_F1', 'Standard_E48s_v3', 'Standard_E32s_v3', 'Standard_E4d_v4', 'Standard_E8ds_v4', 'Standard_F2s_v2', 'Standard_D12', 'Standard_D2_v2', 'Standard_E64-32s_v4', 'Standard_E20_v5', 'Standard_D48d_v5', 'Standard_D32-8s_v3', 'Standard_D8ds_v4', 'Standard_E8-2ds_v4', 'Standard_E4ds_v4', 'Standard_A1', 'Standard_E64ds_v4', 'Standard_D8_v5', 'Standard_F16', 'Standard_D32s_v5', 'Standard_D48d_v4', 'Standard_E48_v5', 'Standard_E2ds_v4', 'Standard_F16s_v2', 'Standard_E32-16s_v4', 'Standard_E8-4s_v3', 'Standard_E8_v5', 'Standard_DS3_v2', 'Standard_E64-32s_v3', 'Standard_E16_v4', 'Standard_D32_v5', 'Standard_E48_v3', 'Standard_DS2', 'Standard_A3', 'Basic_A2', 'Standard_E16-4s_v4', 'Standard_DS4', 'Standard_E32-8s_v3', 'Standard_DS11', 'Standard_D8_v4', 'Standard_D5_v2', 'Standard_D11_v2', 'Standard_E16-4ds_v4', 'Standard_E64-16s_v4', 'Standard_D48s_v5', 'Standard_D64ds_v5', 'Standard_E48d_v4', 'Standard_E32_v3', 'Standard_DS14', 'Standard_E64_v3', 'Standard_DS1_v2', 'Standard_E16-4s_v3', 'Standard_E48_v4', 'Standard_D16ds_v5', 'Standard_E48ds_v4', 'Standard_DS11-1_v2', 'Standard_D8s_v5', 'Standard_D32s_v3', 'Standard_E20_v4', 'Standard_D16d_v4', 'Standard_E2_v3', 'Standard_DS11_v2', '', 'Standard_E64_v5', 'Standard_D8s_v4', 'Standard_E4_v3', 'Standard_D16s_v5', 'Standard_D2_v5', 'Standard_E20_v3', 'Standard_DS1', 'Standard_DS13-2_v2', 'Standard_DS12-1_v2', 'Standard_E2_v5', 'Basic_A4', 'Standard_E4_v5', 'Standard_F32s_v2', 'Standard_DS15i_v2', 'Standard_D2d_v4', 'Standard_E4_v4', 'Standard_E32_v5', 'Standard_E32-8s_v4', 'Standard_E20s_v4', 'Standard_F8', 'Standard_D4_v5', 'Standard_D16_v5', 'Standard_E32d_v4', 'Standard_E16_v3', 'Standard_D64_v3', 'Standard_E8d_v4', 'Standard_D32ds_v5', 'Standard_D15i_v2', 'Standard_DS14_v2', 'Standard_A0', 'Standard_DS12', 'Standard_E32-16s_v3', 'Standard_A4', 'Standard_D16s_v4', 'Standard_E48d_v5', 'Standard_F8s_v2', 'Standard_D32s_v4', 'Standard_DS13', 'Standard_D1', 'Standard_E32s_v4', 'Standard_A5', 'Standard_E8_v4', 'Standard_D2s_v3', 'Standard_F8s', 'Standard_D14_v2', 'Standard_D4ds_v5', 'Standard_E64s_v3', 'Standard_E16s_v3', 'Standard_E80is_v4', 'Standard_E8-4s_v4', 'Standard_F16s', 'Standard_E64s_v4', 'Standard_F1s', 'Standard_D96ds_v5', 'Basic_A0', 'Standard_E8s_v3', 'Standard_E48s_v4', 'Standard_E96d_v5', 'Standard_DS5_v2', 'Standard_D8_v3', 'Standard_E8-2s_v3', 'Standard_E20ds_v4', 'Standard_E2d_v5', 'Standard_F2s', 'Standard_D32d_v4', 'Standard_D48s_v4', 'Standard_D2ds_v4', 'Standard_D13', 'Standard_D64-32s_v3', 'Standard_DS2_v2', 'Standard_E4s_v3', 'Standard_D64s_v3', 'Standard_E4d_v5', 'Standard_D64-16s_v3', 'Standard_E4-2ds_v4', 'Standard_E16-8ds_v4', 'Standard_D32ds_v4', 'Standard_E20d_v4', 'Standard_E16ds_v4', 'Standard_D1_v2', 'Standard_D12_v2', 'Standard_D64_v4', 'Standard_D4s_v5', 'Standard_E8-4ds_v4', 'Standard_D64d_v5', 'Standard_D14', 'Standard_D32d_v5', 'Standard_A2', 'Standard_A2_v2', 'Standard_F64s_v2', 'Standard_D4_v3', 'Standard_E64i_v3', 'Standard_E2d_v4', 'Standard_A8_v2', 'Standard_E20s_v3', 'Standard_E64_v4', 'Standard_D4ds_v4', 'Standard_D32-16s_v3', 'Standard_D96_v5', 'Standard_E16d_v5', 'Standard_D16_v4', 'Standard_D16ds_v4', 'Standard_E8-2s_v4', 'Standard_DS3', 'Standard_DS12-2_v2', 'Standard_E64-16ds_v4'],
'southindia': ['Standard_D14', 'Standard_D5_v2', 'Standard_E32-16s_v4', 'Standard_D64s_v4', 'Standard_D1_v2', 'Standard_A7', 'Standard_DS12-2_v2', 'Standard_D64ds_v5', 'Standard_E20_v3', 'Standard_D48_v5', 'Standard_E4_v4', 'Standard_E32-8s_v4', 'Standard_A0', 'Standard_D48d_v5', 'Standard_DS11', 'Standard_E16-4ds_v4', 'Standard_D48_v4', 'Standard_M128s', 'Standard_E8s_v4', 'Standard_D64-32s_v3', 'Standard_D16ds_v5', 'Standard_F1s', 'Standard_D3', 'Standard_E64-16ds_v4', 'Standard_M128-64ms', 'Standard_E20d_v5', 'Standard_E16_v4', 'Standard_D16d_v5', 'Standard_D8_v5', '', 'Standard_D4s_v5', 'Standard_M416-208s_v2', 'Standard_E20ds_v4', 'Standard_E16d_v5', 'Standard_D4ds_v5', 'Standard_D8ds_v5', 'Standard_DS13-2_v2', 'Standard_D16s_v4', 'Standard_D48d_v4', 'Standard_E20d_v4', 'Standard_D8s_v4', 'Standard_E4-2s_v4', 'Standard_D96s_v5', 'Standard_D64s_v5', 'Standard_E48s_v4', 'Standard_D64-16s_v3', 'Standard_D48s_v4', 'Standard_DS11-1_v2', 'Standard_D4s_v3', 'Standard_D2d_v5', 'Standard_D32_v5', 'Standard_D8d_v4', 'Standard_D2_v5', 'Standard_D2_v3', 'Standard_M208-104s_v2', 'Standard_F32s_v2', 'Standard_E80is_v4', 'Standard_E32_v3', 'Standard_D16ds_v4', 'Standard_E16s_v4', 'Standard_E16-4s_v3', 'Standard_D64_v4', 'Standard_D4_v4', 'Standard_E64-16s_v4', 'Standard_E48_v3', 'Standard_E96d_v5', 'Standard_D32_v3', 'Basic_A2', 'Standard_E64s_v3', 'Standard_E32s_v4', 'Standard_M32s', 'Standard_D8s_v3', 'Standard_E8-2s_v4', 'Standard_M8-4ms', 'Standard_D48_v3', 'Standard_D4_v5', 'Standard_E64_v3', 'Standard_E48d_v5', 'Standard_F8s_v2', 'Standard_E64-32ds_v4', 'Standard_DS3', 'Standard_D32_v4', 'Standard_E16d_v4', 'Standard_E64-32s_v4', 'Standard_D48ds_v5', 'Standard_D12_v2', 'Standard_DS13_v2', 'Standard_D16s_v5', 'Standard_D12', 'Standard_E8-4ds_v4', 'Standard_F72s_v2', 'Standard_D16d_v4', 'Standard_E20_v4', 'Standard_M64', 'Standard_E32_v4', 'Standard_D32-16s_v3', 'Standard_D32ds_v5', 'Standard_D8_v3', 'Standard_E80ids_v4', 'Standard_E2s_v4', 'Standard_E20s_v4', 'Standard_E4-2ds_v4', 'Standard_A4m_v2', 'Standard_E4s_v3', 'Standard_D4ds_v4', 'Standard_E48_v4', 'Standard_E64d_v5', 'Standard_E2s_v3', 'Standard_M416s_v2', 'Standard_D32d_v4', 'Standard_E64d_v4', 'Standard_E8ds_v4', 'Standard_F1', 'Standard_M8-2ms', 'Standard_DS12', 'Standard_E2d_v4', 'Standard_E8-4s_v4', 'Standard_D2_v2', 'Standard_M32ts', 'Standard_D15i_v2', 'Standard_E64i_v3', 'Standard_M208ms_v2', 'Standard_M208-52ms_v2', 'Standard_DS4', 'Standard_M416-104ms_v2', 'Standard_D16_v5', 'Standard_DS5_v2', 'Standard_D8d_v5', 'Standard_D32d_v5', 'Standard_E64s_v4', 'Standard_E32d_v4', 'Standard_F4s_v2', 'Standard_E16-4s_v4', 'Standard_M8ms', 'Standard_F8s', 'Standard_M208s_v2', 'Standard_D48s_v3', 'Standard_D2s_v3', 'Standard_A2m_v2', 'Standard_E8_v3', 'Standard_E64_v5', 'Standard_A3', 'Standard_D32-8s_v3', 'Standard_DS13-4_v2', 'Standard_E96_v5', 'Standard_F16s_v2', 'Standard_D16_v3', 'Standard_E20s_v3', 'Standard_M128ms', 'Standard_E8_v4', 'Standard_DS14', 'Standard_D3_v2', 'Basic_A0', 'Standard_E64is_v3', 'Standard_D11_v2', 'Standard_F2', 'Standard_E32ds_v4', 'Standard_E4ds_v4', 'Standard_D4s_v4', 'Standard_D64d_v5', 'Standard_E32-16ds_v4', 'Standard_E2_v4', 'Standard_E64-32s_v3', 'Standard_A6', 'Standard_D2ds_v4', 'Standard_A8_v2', 'Standard_E2_v3', 'Standard_A4', 'Standard_E48s_v3', 'Standard_F64s_v2', 'Standard_E8d_v5', 'Standard_DS12_v2', 'Standard_E8s_v3', 'Standard_E32-8s_v3', 'Standard_E4d_v5', 'Standard_M64ms', 'Standard_M16-8ms', 'Standard_E8-2s_v3', 'Standard_E4_v3', 'Standard_D32s_v5', 'Standard_D16_v4', 'Standard_E48ds_v4', 'Standard_E32-16s_v3', 'Standard_E2d_v5', 'Basic_A4', 'Standard_E4s_v4', 'Basic_A3', 'Standard_E16-8s_v4', 'Standard_M208-52s_v2', 'Standard_E8_v5', 'Standard_DS1_v2', 'Standard_DS2', 'Standard_D64d_v4', 'Standard_A4_v2', 'Standard_D8s_v5', 'Standard_D4d_v5', 'Standard_D64_v5', 'Standard_D32s_v4', 'Standard_E8d_v4', 'Standard_A1', 'Standard_M32ms', 'Standard_E48_v5', 'Standard_D16s_v3', 'Standard_F2s', 'Standard_F4', 'Standard_DS15_v2', 'Standard_M416is_v2', 'Standard_DS14_v2', 'Standard_M64-16ms', 'Standard_DS1', 'Standard_M64s', 'Standard_A1_v2', 'Standard_DS14-4_v2', 'Standard_M64-32ms', 'Standard_M416ms_v2', 'Standard_D96d_v5', 'Standard_D2', 'Standard_D14_v2', 'Standard_D11', 'Standard_D8_v4', 'Standard_F48s_v2', 'Basic_A1', 'Standard_E2ds_v4', 'Standard_E32_v5', 'Standard_E4_v5', 'Standard_E64_v4', 'Standard_D32ds_v4', 'Standard_D4_v2', 'Standard_F8', 'Standard_A8m_v2', 'Standard_E32-8ds_v4', 'Standard_M16-4ms', 'Standard_E8-4s_v3', 'Standard_D64ds_v4', 'Standard_E16-8s_v3', 'Standard_F16s', 'Standard_D2s_v5', 'Standard_D2d_v4', 'Standard_D2s_v4', 'Standard_M16ms', 'Standard_E20_v5', 'Standard_DS3_v2', 'Standard_D64s_v3', 'Standard_M416-208ms_v2', 'Standard_F2s_v2', 'Standard_E4-2s_v3', 'Standard_D4_v3', 'Standard_DS2_v2', 'Standard_M64ls', 'Standard_M128', 'Standard_D48ds_v4', 'Standard_D4', 'Standard_A2_v2', 'Standard_M64m', 'Standard_M416-104s_v2', 'Standard_A5', 'Standard_E16_v5', 'Standard_M32-8ms', 'Standard_D13', 'Standard_M208-104ms_v2', 'Standard_E2_v5', 'Standard_D2_v4', 'Standard_D96_v5', 'Standard_E16s_v3', 'Standard_D8ds_v4', 'Standard_E4d_v4', 'Standard_M32-16ms', 'Standard_DS14-8_v2', 'Standard_DS11_v2', 'Standard_M32ls', 'Standard_D64_v3', 'Standard_M128m', 'Standard_E32d_v5', 'Standard_A2', 'Standard_D32s_v3', 'Standard_F4s', 'Standard_E32s_v3', 'Standard_D96ds_v5', 'Standard_E16_v3', 'Standard_E16ds_v4', 'Standard_E48d_v4', 'Standard_F16', 'Standard_D15_v2', 'Standard_E64-16s_v3', 'Standard_DS12-1_v2', 'Standard_D13_v2', 'Standard_M128-32ms', 'Standard_M16s', 'Standard_D4d_v4', 'Standard_DS13', 'Standard_D2ds_v5', 'Standard_DS15i_v2', 'Standard_D1', 'Standard_E8-2ds_v4', 'Standard_E16-8ds_v4', 'Standard_DS4_v2', 'Standard_D48s_v5', 'Standard_E64ds_v4'],
'centralindia': ['Standard_E32s_v3', 'Standard_A6', 'Standard_E8d_v4', 'Standard_D64_v4', 'Standard_D4s_v3', 'Standard_D2_v3', 'Standard_D16as_v4', 'Standard_E48_v4', 'Standard_E64a_v4', 'Standard_M128-32ms', 'Standard_D48_v4', 'Standard_D15_v2', 'Basic_A3', 'Standard_D4_v2', 'Standard_D2s_v5', 'Standard_D11_v2', 'Standard_F2', 'Standard_M192ims_v2', 'Standard_E4-2as_v4', 'Standard_M128-64ms', 'Standard_D1_v2', 'Standard_E8_v5', 'Standard_D11', 'Standard_E48s_v4', 'Standard_D4_v4', 'Standard_E4_v5', 'Standard_H16m', 'Standard_E64-32ds_v4', 'Standard_D8_v4', 'Standard_E32_v4', 'Standard_DS5_v2', 'Standard_DS2', 'Standard_M64s', 'Standard_A4', 'Standard_L64s_v2', 'Standard_E32_v5', 'Standard_E20d_v5', 'Standard_E48d_v4', 'Standard_F16', 'Standard_E64d_v5', 'Standard_NV12s_v3', 'Standard_E32as_v4', 'Standard_E32-16as_v4', 'Standard_D64as_v4', 'Standard_E16ds_v4', 'Standard_F8s', 'Standard_E48d_v5', 'Standard_E16_v3', 'Standard_L48s_v2', 'Standard_L8s_v2', 'Standard_A2m_v2', 'Standard_D8ds_v5', 'Standard_E16-4s_v4', 'Standard_E8-4s_v3', 'Standard_F8', 'Standard_E32-16s_v3', 'Standard_D4as_v4', 'Standard_E48as_v4', 'Standard_E16-4as_v4', 'Standard_DS15i_v2', 'Standard_D14_v2', 'Standard_D1', 'Standard_E32-16s_v4', 'Standard_E4_v4', 'Standard_E4as_v4', 'Standard_D4ds_v5', 'Standard_D8d_v4', 'Standard_E8-4as_v4', 'Standard_D8as_v4', 'Standard_DS11_v2', 'Standard_E2d_v5', 'Standard_D8_v3', 'Standard_E16-8as_v4', 'Standard_M192ids_v2', 'Standard_D8d_v5', 'Standard_D2s_v3', 'Standard_D64a_v4', 'Standard_M416ms_v2', 'Standard_E32-8as_v4', 'Standard_E16a_v4', 'Standard_M16-4ms', 'Standard_E8d_v5', 'Standard_D5_v2', 'Standard_M192idms_v2', 'Standard_F1s', 'Standard_D2', 'Standard_D48ds_v4', 'Standard_E64d_v4', 'Standard_E64-32s_v3', 'Standard_E32-8ds_v4', 'Standard_E8_v3', 'Standard_DS13_v2', 'Basic_A4', 'Standard_E2d_v4', 'Standard_E8-4s_v4', 'Standard_E8ds_v4', 'Standard_D13', 'Standard_D8a_v4', 'Standard_E2ds_v4', 'Standard_M128ms', 'Standard_E48s_v3', 'Standard_DS15_v2', 'Standard_E32d_v5', 'Standard_DS4', 'Standard_E2_v5', 'Standard_NV8as_v4', 'Standard_D16a_v4', 'Standard_A2', 'Standard_D16s_v5', 'Standard_D96as_v4', '', 'Standard_F16s_v2', 'Standard_M8ms', 'Standard_HC44rs', 'Standard_E64-32s_v4', 'Standard_D64ds_v4', 'Standard_D16d_v4', 'Standard_D4', 'Standard_F2s_v2', 'Standard_E16s_v4', 'Standard_E20_v4', 'Standard_H8m', 'Standard_D15i_v2', 'Standard_D96_v5', 'Standard_E96a_v4', 'Standard_DS13', 'Standard_E8-2s_v3', 'Standard_E80ids_v4', 'Standard_E8as_v4', 'Standard_A0', 'Standard_E96-48as_v4', 'Standard_NV12', 'Standard_D32s_v3', 'Standard_E96as_v4', 'Standard_M128s', 'Basic_A2', 'Standard_E48a_v4', 'Standard_E20d_v4', 'Standard_D16s_v4', 'Standard_E2as_v4', 'Standard_L16s_v2', 'Standard_M64-16ms', 'Standard_D16_v4', 'Standard_E2a_v4', 'Standard_F64s_v2', 'Standard_D32_v5', 'Standard_M416s_v2', 'Standard_M64dms_v2', 'Standard_A5', 'Standard_E64_v3', 'Standard_D32as_v4', 'Standard_E32-8s_v3', 'Standard_NC6s_v3', 'Standard_M64ms', 'Standard_D32-16s_v3', 'Standard_E16-4s_v3', 'Standard_D4ds_v4', 'Standard_DS13-4_v2', 'Standard_D32ds_v5', 'Standard_D32s_v5', 'Standard_D2_v4', 'Standard_L96s_v2', 'Standard_M32ts', 'Standard_E4s_v4', 'Standard_E4_v3', 'Standard_M128', 'Standard_E8-2as_v4', 'Standard_DS12', 'Standard_E8_v4', 'Standard_A2_v2', 'Standard_A4_v2', 'Standard_E32-16ds_v4', 'Standard_M64', 'Standard_D8s_v4', 'Standard_E64s_v3', 'Standard_D64_v3', 'Standard_E16d_v5', 'Standard_M8-4ms', 'Standard_NC16as_T4_v3', 'Standard_D4_v3', 'Standard_E64as_v4', 'Standard_F16s', 'Standard_D64-32s_v3', 'Standard_E4s_v3', 'Standard_E8-2s_v4', 'Standard_DS13-2_v2', 'Standard_D14', 'Standard_D48ds_v5', 'Standard_D12', 'Standard_D32a_v4', 'Standard_DS3', 'Standard_F4s_v2', 'Standard_E20a_v4', 'Standard_NV4as_v4', 'Standard_E2s_v4', 'Standard_E48ds_v4', 'Standard_D8s_v3', 'Standard_D64ds_v5', 'Standard_M64ms_v2', 'Standard_DS1', 'Standard_A7', 'Standard_D96d_v5', 'Standard_D2ds_v4', 'Standard_M8-2ms', 'Standard_E32-8s_v4', 'Standard_D64_v5', 'Standard_D4s_v5', 'Standard_E8s_v3', 'Standard_E80is_v4', 'Standard_D48d_v5', 'Standard_H16r', 'Standard_E32d_v4', 'Standard_E2_v4', 'Standard_M16s', 'Standard_E64-16as_v4', 'Standard_D32-8s_v3', 'Standard_D16d_v5', 'Standard_D2_v2', 'Standard_D3_v2', 'Standard_M192is_v2', 'Standard_E64_v5', 'Standard_D32s_v4', 'Standard_D64s_v5', 'Standard_M16ms', 'Standard_E20s_v3', 'Standard_E64-16s_v4', 'Standard_E16-8s_v4', 'Standard_DS14-8_v2', 'Standard_E4-2s_v4', 'Standard_E16_v4', 'Standard_E8-4ds_v4', 'Standard_D32_v3', 'Standard_E4d_v4', 'Standard_D48as_v4', 'Standard_A4m_v2', 'Standard_M64ds_v2', 'Standard_M128s_v2', 'Standard_D16s_v3', 'Standard_M128ds_v2', 'Standard_D2d_v5', 'Standard_M208s_v2', 'Standard_D16_v3', 'Standard_D32d_v4', 'Standard_D48s_v4', 'Standard_E64-32as_v4', 'Standard_E64-16s_v3', 'Standard_F4s', 'Standard_NV24s_v3', 'Standard_E20_v3', 'Standard_D48s_v3', 'Standard_D8_v5', 'Standard_M64-32ms', 'Standard_DS3_v2', 'Standard_A8m_v2', 'Standard_M32ls', 'Standard_D2d_v4', 'Standard_M16-8ms', 'Standard_M32-16ms', 'Standard_D2_v5', 'Standard_E32ds_v4', 'Standard_D16ds_v5', 'Standard_E8a_v4', 'Standard_E48_v3', 'Standard_E20ds_v4', 'Standard_D2as_v4', 'Standard_DS11-1_v2', 'Standard_DS11', 'Standard_DS2_v2', 'Standard_NV48s_v3', 'Standard_E64_v4', 'Standard_F32s_v2', 'Standard_M416is_v2', 'Standard_D32ds_v4', 'Standard_L80s_v2', 'Standard_M128dms_v2', 'Standard_A1', 'Standard_D4_v5', 'Standard_E2_v3', 'Standard_D48_v5', 'Standard_DS1_v2', 'Standard_DS4_v2', 'Standard_E4-2s_v3', 'Standard_DS14-4_v2', 'Standard_DS12_v2', 'Standard_D96s_v5', 'Standard_D2s_v4', 'Standard_E32s_v4', 'Standard_H16', 'Standard_D48a_v4', 'Standard_D8s_v5', 'Standard_E64-16ds_v4', 'Standard_D48_v3', 'Standard_D32_v4', 'Standard_E8s_v4', 'Standard_E16_v5', 'Standard_D64d_v4', 'Standard_E4a_v4', 'Standard_D64s_v4', 'Standard_H16mr', 'Standard_D13_v2', 'Standard_NC4as_T4_v3', 'Standard_F72s_v2', 'Standard_H8', 'Standard_NC8as_T4_v3', 'Standard_E16as_v4', 'Standard_D16_v5', 'Standard_F48s_v2', 'Standard_M128ms_v2', 'Standard_E96d_v5', 'Standard_E16-8ds_v4', 'Standard_M32ms', 'Standard_A1_v2', 'Standard_D4s_v4', 'Standard_E20_v5', 'Standard_D16ds_v4', 'Standard_DS12-1_v2', 'Standard_F4', 'Standard_M64m', 'Standard_E8-2ds_v4', 'Standard_F2s', 'Standard_E16d_v4', 'Standard_D2ds_v5', 'Standard_E32_v3', 'Standard_E32a_v4', 'Standard_E4d_v5', 'Standard_M32s', 'Standard_F8s_v2', 'Standard_F1', 'Standard_DS12-2_v2', 'Standard_E16-8s_v3', 'Basic_A1', 'Standard_E20as_v4', 'Basic_A0', 'Standard_D4d_v5', 'Standard_D48s_v5', 'Standard_NV32as_v4', 'Standard_HC44-32rs', 'Standard_D48d_v4', 'Standard_D8ds_v4', 'Standard_D64-16s_v3', 'Standard_M64s_v2', 'Standard_NV6', 'Standard_D96ds_v5', 'Standard_DS14', 'Standard_NC12s_v3', 'Standard_A8_v2', 'Standard_NC24s_v3', 'Standard_E20s_v4', 'Standard_NV24', 'Standard_D96a_v4', 'Standard_M208ms_v2', 'Standard_E4-2ds_v4', 'Standard_NC64as_T4_v3', 'Standard_D32d_v5', 'Standard_M32ms_v2', 'Standard_DS14_v2', 'Standard_NC24rs_v3', 'Standard_D2a_v4', 'Standard_E64s_v4', 'Standard_E96-24as_v4', 'Standard_M32-8ms', 'Standard_D4d_v4', 'Standard_M64ls', 'Standard_E64ds_v4', 'Standard_E48_v5', 'Standard_E16-4ds_v4', 'Standard_HC44-16rs', 'Standard_D4a_v4', 'Standard_D64s_v3', 'Standard_M32dms_v2', 'Standard_E96_v5', 'Standard_M128m', 'Standard_A3', 'Standard_L32s_v2', 'Standard_D64d_v5', 'Standard_NV16as_v4', 'Standard_E4ds_v4', 'Standard_E16s_v3', 'Standard_D3', 'Standard_E2s_v3', 'Standard_D12_v2'],
'canadacentral': ['Standard_M128-32ms', 'Standard_M64dms_v2', 'Standard_E32s_v4', 'Standard_E48_v4', 'Standard_E2_v5', 'Standard_D4ds_v5', 'Standard_E80ids_v4', 'Standard_M416-208ms_v2', 'Standard_GS5', 'Standard_D48s_v4', 'Standard_E48d_v5', 'Basic_A3', 'Standard_D48_v3', 'Standard_D64ds_v5', 'Standard_M32ms_v2', 'Standard_DS4_v2', 'Standard_D2_v4', 'Basic_A1', 'Standard_E4s_v3', 'Standard_NC12s_v3', 'Standard_D4_v2', 'Standard_E32_v3', 'Standard_E2d_v4', 'Standard_E32-16s_v4', 'Standard_D16s_v4', 'Standard_E16_v5', 'Standard_NV16as_v4', 'Standard_A4m_v2', 'Standard_E20ds_v4', 'Standard_E32-8s_v3', 'Standard_D8_v4', 'Standard_A3', 'Standard_D2d_v5', 'Standard_E8_v5', 'Standard_D64s_v4', 'Standard_E64-32ds_v4', 'Standard_D2_v3', 'Standard_M64s_v2', 'Standard_E16_v4', '', 'Standard_E32-16s_v3', 'Standard_DS15i_v2', 'Standard_F16s', 'Standard_D48_v5', 'Standard_E16-4s_v3', 'Standard_F2', 'Standard_D16_v4', 'Standard_NC6s_v3', 'Standard_D64_v3', 'Standard_DC1s_v2', 'Standard_E64s_v4', 'Standard_DS11-1_v2', 'Standard_E16-8s_v4', 'Standard_M64-16ms', 'Standard_D32ds_v5', 'Standard_D16d_v4', 'Standard_D4ds_v4', 'Standard_E64_v3', 'Standard_F32s_v2', 'Standard_F72s_v2', 'Standard_D48d_v5', 'Standard_E32-8ds_v4', 'Standard_D4d_v5', 'Standard_E16s_v4', 'Standard_M208-52s_v2', 'Standard_F2s', 'Standard_NC24rs_v3', 'Standard_L8s', 'Standard_M208-104ms_v2', 'Standard_G3', 'Standard_D16s_v5', 'Standard_E8s_v4', 'Standard_E64ds_v4', 'Standard_E16-8s_v3', 'Standard_M128m', 'Standard_NV8as_v4', 'Standard_DC8_v2', 'Standard_D48ds_v4', 'Standard_D64-32s_v3', 'Standard_M416-104s_v2', 'Standard_M16-8ms', 'Standard_M32dms_v2', 'Standard_M16-4ms', 'Standard_D13_v2', 'Standard_E32d_v5', 'Standard_DS12-2_v2', 'Standard_DS1_v2', 'Standard_F8', 'Standard_M128-64ms', 'Standard_E8d_v5', 'Standard_D32s_v4', 'Standard_D15i_v2', 'Standard_D32s_v3', 'Standard_D32-8s_v3', 'Standard_E4-2ds_v4', 'Basic_A4', 'Standard_A1_v2', 'Standard_E16_v3', 'Standard_D64_v5', 'Standard_E8-2s_v3', 'Standard_D48ds_v5', 'Standard_DC2s_v2', 'Standard_D64d_v4', 'Standard_A1', 'Standard_DS14-4_v2', 'Standard_M128ms_v2', 'Standard_F8s', 'Standard_A0', 'Standard_A5', 'Standard_G4', 'Standard_DS11_v2', 'Standard_E4-2s_v4', 'Standard_E20d_v4', 'Standard_M64ms_v2', 'Standard_E64is_v3', 'Standard_E8_v3', 'Standard_E4d_v4', 'Standard_DS5_v2', 'Standard_E32d_v4', 'Standard_F2s_v2', 'Standard_M8ms', 'Standard_E48s_v4', 'Standard_HB120rs_v2', 'Standard_E16s_v3', 'Standard_M8-2ms', 'Standard_E8_v4', 'Standard_D8d_v4', 'Standard_D48s_v5', 'Standard_E48d_v4', 'Standard_D64s_v3', 'Standard_DS15_v2', 'Standard_D96_v5', 'Standard_D96d_v5', 'Standard_D11_v2', 'Standard_DC4s_v2', 'Standard_A8m_v2', 'Standard_E8-2s_v4', 'Standard_E80is_v4', 'Standard_E32ds_v4', 'Standard_D4s_v3', 'Standard_D8_v5', 'Standard_D4_v4', 'Standard_M64m', 'Standard_A2_v2', 'Standard_D32-16s_v3', 'Standard_M128ms', 'Standard_E4_v3', 'Standard_D32_v5', 'Standard_D14_v2', 'Standard_E96_v5', 'Standard_D2d_v4', 'Standard_D64-16s_v3', 'Standard_E2s_v4', 'Standard_DS3_v2', 'Standard_F1', 'Standard_E64-16ds_v4', 'Standard_NV32as_v4', 'Standard_M192ims_v2', 'Standard_E2ds_v4', 'Standard_E16d_v5', 'Standard_E64-16s_v4', 'Standard_D64_v4', 'Standard_D4_v3', 'Standard_E32-8s_v4', 'Standard_D2s_v3', 'Standard_E64s_v3', 'Standard_E2s_v3', 'Standard_M32-8ms', 'Standard_D4s_v4', 'Standard_E2d_v5', 'Standard_E16-4ds_v4', 'Standard_M32s', 'Standard_M32ms', 'Standard_M32ls', 'Standard_D8ds_v4', 'Standard_D8_v3', 'Standard_E2_v4', 'Standard_M32ts', 'Standard_M8-4ms', 'Standard_M128ds_v2', 'Standard_E64-32s_v3', 'Standard_D32_v3', 'Standard_E20_v3', 'Standard_F4', 'Standard_M64ls', 'Standard_L32s', 'Standard_M16s', 'Standard_E4_v4', 'Standard_M16ms', 'Standard_M128dms_v2', 'Standard_D2s_v4', 'Standard_DS13-2_v2', 'Standard_M64-32ms', 'Standard_M128s_v2', 'Standard_D4d_v4', 'Standard_E4_v5', 'Standard_E4s_v4', 'Standard_D32s_v5', 'Standard_G5', 'Standard_E2_v3', 'Standard_D8s_v5', 'Standard_DS14-8_v2', 'Standard_E48_v3', 'Standard_E48ds_v4', 'Standard_D4s_v5', 'Standard_D96ds_v5', 'Standard_E16d_v4', 'Standard_E64-32s_v4', 'Standard_E64_v5', 'Standard_M128s', 'Standard_E64d_v5', 'Standard_E20d_v5', 'Standard_F16', 'Standard_E64i_v3', 'Standard_NV4as_v4', 'Standard_M192ids_v2', 'Standard_E8s_v3', 'Standard_E48s_v3', 'Standard_E4d_v5', 'Standard_E32_v5', 'Standard_F1s', 'Standard_E16-8ds_v4', 'Standard_E8ds_v4', 'Standard_M64ms', 'Standard_M32-16ms', 'Standard_F4s', 'Standard_D2_v2', 'Standard_D64s_v5', 'Standard_D2_v5', 'Standard_D96s_v5', 'Standard_D32d_v4', 'Standard_D5_v2', 'Standard_D12_v2', 'Standard_M64s', 'Standard_D32ds_v4', 'Standard_D8s_v3', 'Standard_DS12_v2', 'Standard_E20s_v4', 'Standard_D32d_v5', 'Standard_GS2', 'Standard_A6', 'Standard_D8s_v4', 'Standard_A4_v2', 'Standard_E20_v5', 'Standard_M192is_v2', 'Standard_E96d_v5', 'Standard_M192idms_v2', 'Standard_F8s_v2', 'Standard_E48_v5', 'Standard_DS13_v2', 'Standard_DS12-1_v2', 'Standard_A4', 'Standard_DS14_v2', 'Standard_D8ds_v5', 'Standard_GS1', 'Standard_E32-16ds_v4', 'Standard_D16_v5', 'Standard_D4_v5', 'Standard_A8_v2', 'Standard_A7', 'Standard_D48s_v3', 'Standard_D3_v2', 'Standard_GS3', 'Standard_D15_v2', 'Standard_D16s_v3', 'Standard_G1', 'Standard_D8d_v5', 'Standard_G2', 'Standard_M416-208s_v2', 'Standard_GS5-16', 'Standard_E32s_v3', 'Standard_D16d_v5', 'Standard_E8d_v4', 'Standard_E8-2ds_v4', 'Standard_GS4-4', 'Standard_E16ds_v4', 'Standard_E20s_v3', 'Standard_D64d_v5', 'Standard_D48d_v4', 'Standard_E64-16s_v3', 'Standard_E8-4s_v3', 'Standard_D2ds_v5', 'Standard_M208-104s_v2', 'Standard_D16ds_v5', 'Standard_F4s_v2', 'Standard_D16ds_v4', 'Standard_D16_v3', 'Standard_F64s_v2', 'Standard_E8-4ds_v4', 'Standard_E4ds_v4', 'Standard_F48s_v2', 'Standard_F16s_v2', 'Standard_GS5-8', 'Basic_A0', 'Standard_L16s', 'Standard_DS13-4_v2', 'Standard_A2m_v2', 'Standard_E64_v4', 'Standard_M208-52ms_v2', 'Standard_E64d_v4', 'Standard_GS4-8', 'Standard_GS4', 'Basic_A2', 'Standard_M416-104ms_v2', 'Standard_D2s_v5', 'Standard_NC24s_v3', 'Standard_E4-2s_v3', 'Standard_M64ds_v2', 'Standard_M128', 'Standard_D64ds_v4', 'Standard_D2ds_v4', 'Standard_DS2_v2', 'Standard_D48_v4', 'Standard_E32_v4', 'Standard_D32_v4', 'Standard_E20_v4', 'Standard_E8-4s_v4', 'Standard_A2', 'Standard_L4s', 'Standard_E16-4s_v4', 'Standard_M64', 'Standard_D1_v2'],
'canadaeast': ['Standard_D32ds_v4', 'Standard_D32s_v5', 'Standard_D64_v4', 'Standard_E80ids_v4', 'Standard_D64-32s_v3', 'Standard_A8_v2', 'Standard_F1', 'Standard_G4', 'Standard_D16ds_v4', 'Standard_M8ms', 'Standard_E8-2s_v4', 'Standard_D8s_v5', 'Standard_DS12-1_v2', 'Standard_GS5-16', 'Standard_E64_v4', 'Standard_D64_v5', 'Standard_L8s', 'Standard_E20d_v4', 'Standard_D2_v5', 'Standard_D16s_v3', 'Standard_M128ms', 'Standard_GS3', 'Standard_E64-16s_v3', 'Standard_DS14-8_v2', 'Standard_GS2', 'Standard_E16d_v4', 'Standard_M128m', 'Standard_D8_v4', 'Standard_F4s', 'Standard_DS14_v2', 'Standard_E32_v5', 'Standard_DS1_v2', 'Standard_E8_v5', 'Standard_G2', 'Standard_E2_v5', 'Standard_D48s_v3', 'Basic_A1', 'Standard_E16-4s_v3', 'Standard_F16s_v2', 'Standard_D13_v2', 'Standard_E48_v5', 'Standard_A3', 'Standard_D32_v4', 'Standard_E48ds_v4', 'Basic_A4', 'Standard_E8d_v5', 'Standard_E32d_v4', 'Standard_E2d_v4', 'Standard_E2ds_v4', 'Standard_D2_v4', 'Standard_E16-4ds_v4', 'Standard_D4s_v3', 'Standard_E4_v4', 'Standard_D16s_v4', 'Standard_A8m_v2', 'Standard_GS4', 'Standard_D64ds_v5', 'Standard_D96s_v5', 'Standard_D2d_v5', 'Standard_D64s_v4', 'Standard_E16d_v5', 'Standard_L4s', 'Standard_DC2s_v2', 'Standard_E20s_v3', 'Standard_E2d_v5', 'Standard_D48_v4', 'Standard_E16_v4', 'Standard_E4_v5', 'Standard_E32-16ds_v4', 'Standard_E8ds_v4', 'Standard_F64s_v2', 'Standard_E32-8s_v3', 'Standard_M32-8ms', 'Standard_M16-4ms', 'Standard_E96_v5', 'Standard_D5_v2', 'Standard_E4-2s_v3', 'Standard_E20_v5', 'Standard_F2', 'Standard_D16_v4', 'Standard_D48s_v4', 'Standard_D3_v2', 'Standard_M64s', 'Standard_E2s_v4', 'Standard_D4s_v5', 'Standard_M64', 'Basic_A0', 'Standard_M64m', 'Standard_E48_v3', 'Standard_E32-8ds_v4', 'Standard_DC4s_v2', 'Standard_E16-8s_v3', 'Standard_E32_v3', 'Standard_GS4-4', 'Standard_E64i_v3', 'Standard_D32-16s_v3', 'Standard_E48s_v3', 'Standard_D32_v3', 'Standard_DC1s_v2', 'Standard_F48s_v2', 'Standard_DS5_v2', 'Standard_A4_v2', 'Standard_D4_v4', 'Standard_E96d_v5', 'Standard_DS12_v2', 'Standard_L16s', 'Standard_DS13-4_v2', 'Standard_D32d_v4', 'Standard_E64-16s_v4', 'Standard_F8s', 'Standard_F16s', 'Standard_D32ds_v5', 'Standard_M64-32ms', 'Standard_D32_v5', 'Standard_M32s', 'Standard_E4-2s_v4', 'Standard_E48d_v5', 'Standard_E8-2ds_v4', 'Standard_E4ds_v4', 'Standard_D8_v3', 'Standard_E8-4s_v3', 'Standard_D16d_v5', 'Standard_D64d_v5', 'Standard_F2s', 'Standard_E32-16s_v4', 'Standard_E16s_v3', 'Standard_D32s_v3', 'Standard_D4_v3', 'Standard_A5', 'Standard_DC8_v2', 'Standard_M8-4ms', 'Standard_E16_v3', 'Standard_D15_v2', 'Standard_D48_v3', 'Standard_G3', 'Standard_D96d_v5', 'Standard_E16ds_v4', 'Standard_D8ds_v4', 'Standard_A0', 'Standard_D8s_v4', 'Standard_E64d_v5', 'Standard_D4_v2', 'Standard_D2_v3', 'Standard_M128-64ms', 'Standard_F32s_v2', 'Standard_E16-8s_v4', 'Standard_D16d_v4', 'Standard_GS5', 'Standard_D4ds_v4', 'Standard_GS1', 'Standard_F4', 'Standard_D2s_v5', 'Standard_M32ms', 'Standard_D48ds_v4', 'Standard_GS4-8', 'Standard_E64s_v4', 'Standard_D96_v5', 'Standard_D2ds_v5', 'Standard_D32s_v4', 'Standard_E64-32s_v3', 'Standard_M64ms', 'Basic_A3', 'Standard_M32ts', 'Standard_E48_v4', 'Standard_F8', 'Standard_E64s_v3', 'Standard_A1', 'Standard_D64_v3', 'Standard_E64d_v4', 'Standard_A4', 'Standard_E32_v4', 'Standard_D8_v5', 'Standard_E80is_v4', 'Standard_E16_v5', 'Standard_D11_v2', 'Standard_E8_v3', 'Standard_E8s_v3', 'Standard_E32-16s_v3', 'Standard_E2_v3', 'Standard_D1_v2', 'Standard_D15i_v2', 'Standard_D64s_v3', 'Standard_DS4_v2', 'Standard_E20d_v5', 'Standard_D16_v3', 'Standard_M16s', 'Standard_E32-8s_v4', 'Standard_M128-32ms', 'Standard_M128s', 'Standard_M8-2ms', 'Standard_E8_v4', 'Standard_E20ds_v4', 'Standard_E4_v3', 'Standard_A2_v2', 'Standard_D64-16s_v3', 'Standard_A6', 'Standard_M16ms', 'Standard_E2_v4', 'Standard_E64-16ds_v4', 'Standard_A2m_v2', 'Standard_M64ls', '', 'Standard_D4ds_v5', 'Standard_DS15i_v2', 'Standard_E8-4s_v4', 'Standard_E32s_v4', 'Standard_D2d_v4', 'Standard_D12_v2', 'Standard_E4-2ds_v4', 'Standard_D2ds_v4', 'Standard_E64is_v3', 'Standard_E16-8ds_v4', 'Standard_E4s_v4', 'Standard_E64_v3', 'Standard_L32s', 'Basic_A2', 'Standard_E64ds_v4', 'Standard_DS3_v2', 'Standard_D2s_v4', 'Standard_D4d_v4', 'Standard_D2s_v3', 'Standard_D32d_v5', 'Standard_D8s_v3', 'Standard_E16-4s_v4', 'Standard_M64-16ms', 'Standard_A2', 'Standard_E64-32s_v4', 'Standard_DS13-2_v2', 'Standard_M32-16ms', 'Standard_G5', 'Standard_E8d_v4', 'Standard_D4_v5', 'Standard_E32s_v3', 'Standard_E8-2s_v3', 'Standard_D4s_v4', 'Standard_D4d_v5', 'Standard_E16s_v4', 'Standard_E8-4ds_v4', 'Standard_DS15_v2', 'Standard_D16ds_v5', 'Standard_A1_v2', 'Standard_E48s_v4', 'Standard_E4d_v5', 'Standard_D48_v5', 'Standard_M16-8ms', 'Standard_F1s', 'Standard_A4m_v2', 'Standard_D64d_v4', 'Standard_E20_v4', 'Standard_G1', 'Standard_D48d_v4', 'Standard_DS11-1_v2', 'Standard_D8ds_v5', 'Standard_M128', 'Standard_F8s_v2', 'Standard_E20_v3', 'Standard_E2s_v3', 'Standard_D64s_v5', 'Standard_E20s_v4', 'Standard_E48d_v4', 'Standard_E64_v5', 'Standard_D96ds_v5', 'Standard_E4s_v3', 'Standard_DS11_v2', 'Standard_GS5-8', 'Standard_E32d_v5', 'Standard_D32-8s_v3', 'Standard_DS2_v2', 'Standard_E8s_v4', 'Standard_D48ds_v5', 'Standard_E64-32ds_v4', 'Standard_D64ds_v4', 'Standard_D16s_v5', 'Standard_D2_v2', 'Standard_DS14-4_v2', 'Standard_F16', 'Standard_A7', 'Standard_D48d_v5', 'Standard_E32ds_v4', 'Standard_D14_v2', 'Standard_DS13_v2', 'Standard_F4s_v2', 'Standard_F2s_v2', 'Standard_D8d_v4', 'Standard_D16_v5', 'Standard_DS12-2_v2', 'Standard_E4d_v4', 'Standard_D48s_v5', 'Standard_F72s_v2', 'Standard_M32ls', 'Standard_D8d_v5'],
'uksouth': ['Standard_E32ds_v4', 'Standard_D32_v3', 'Standard_F2s', 'Standard_D48s_v5', 'Standard_D2d_v4', 'Standard_D1_v2', 'Standard_E32as_v4', 'Standard_E64_v3', 'Standard_M208-104s_v2', 'Standard_E64-32s_v3', 'Standard_E4a_v4', 'Standard_GS5-16', 'Standard_E32d_v4', 'Standard_NC64as_T4_v3', 'Standard_D32_v4', 'Standard_NV8as_v4', 'Standard_E2_v4', 'Standard_E64-32as_v4', 'Standard_F16s_v2', 'Standard_G4', 'Standard_DC1s_v2', 'Standard_L16s_v2', 'Standard_D64-16s_v3', 'Standard_D16d_v4', 'Standard_M16ms', 'Standard_D32ds_v4', 'Standard_E48s_v4', 'Standard_D2ds_v4', 'Standard_E48_v4', 'Standard_M64ls', 'Standard_L80s_v2', 'Standard_M208ms_v2', 'Standard_D8d_v4', 'Standard_D2_v3', 'Standard_L8s', 'Standard_M128ds_v2', 'Standard_D8_v5', 'Standard_E20s_v4', 'Standard_E20_v3', 'Standard_E48a_v4', 'Standard_M416is_v2', 'Standard_A2_v2', 'Standard_M16s', 'Standard_DS11_v2', 'Standard_E2ds_v4', 'Standard_DS13-2_v2', 'Standard_M32ts', 'Standard_E16_v4', 'Standard_D4d_v4', 'Standard_NC12', 'Standard_E8_v3', 'Standard_D48a_v4', 'Standard_E16s_v4', 'Standard_E20d_v5', 'Standard_E16a_v4', 'Standard_M32-16ms', 'Standard_E4-2s_v4', 'Basic_A4', 'Standard_E4_v4', 'Standard_E64s_v3', 'Standard_E96d_v5', 'Standard_E4d_v4', 'Standard_NV4as_v4', 'Standard_F48s_v2', 'Standard_D16ds_v5', 'Standard_D64_v5', 'Standard_D15i_v2', 'Standard_E8as_v4', 'Standard_E8ds_v4', 'Standard_F32s_v2', 'Standard_M64-16ms', 'Standard_E8s_v3', 'Standard_DS15i_v2', 'Standard_M128s_v2', 'Standard_E8_v4', 'Standard_E16_v5', 'Standard_E64-16ds_v4', 'Standard_G3', 'Standard_E20a_v4', 'Standard_E8a_v4', 'Standard_E20ds_v4', 'Standard_M192ids_v2', 'Standard_M64m', 'Standard_M192is_v2', 'Standard_E64_v5', 'Standard_E64a_v4', 'Standard_E16-8s_v3', 'Standard_GS3', 'Standard_DS3_v2', 'Standard_M8ms', 'Standard_D4d_v5', 'Standard_DS12_v2', 'Standard_D4ds_v4', 'Standard_NV12', 'Standard_E4s_v4', 'Standard_E32-8s_v3', 'Standard_E8-2as_v4', 'Standard_NV32as_v4', 'Standard_D8_v4', 'Basic_A3', 'Basic_A1', 'Standard_M128-32ms', 'Standard_A1_v2', 'Standard_F8s_v2', 'Standard_DC4s_v2', 'Standard_E16-8ds_v4', 'Standard_E64s_v4', 'Standard_D32s_v3', 'Standard_GS4-4', 'Standard_D4_v3', 'Standard_E2d_v4', 'Standard_M416-208ms_v2', 'Standard_M64s_v2', 'Standard_D96as_v4', 'Standard_M64s', 'Standard_F1', 'Standard_M8-4ms', 'Standard_M208-52ms_v2', 'Standard_D4as_v4', 'Standard_E2as_v4', 'Standard_E2a_v4', 'Standard_E64i_v3', 'Standard_E4d_v5', 'Standard_GS1', 'Standard_M208s_v2', 'Standard_F16s', 'Standard_E8_v5', 'Standard_E64is_v3', 'Standard_NV12s_v3', 'Standard_M32ms_v2', 'Standard_D2_v2', 'Standard_E16s_v3', 'Standard_A7', 'Standard_A3', 'Standard_D5_v2', 'Standard_E20_v5', 'Standard_E2_v3', 'Standard_E16d_v5', 'Standard_A4m_v2', 'Standard_D2a_v4', 'Standard_M128dms_v2', 'Standard_E48s_v3', 'Standard_D48_v3', 'Standard_M16-8ms', 'Standard_E64-16s_v4', 'Standard_F8s', 'Standard_D64ds_v4', 'Standard_D8_v3', 'Standard_NC4as_T4_v3', 'Standard_D2s_v4', 'Standard_E4_v3', 'Standard_GS4', 'Standard_L48s_v2', 'Standard_F4s_v2', 'Standard_GS5-8', 'Standard_D64s_v5', 'Standard_E4-2ds_v4', 'Standard_E64-16as_v4', 'Standard_NC6s_v3', 'Standard_A0', 'Standard_M192idms_v2', 'Standard_NC12s_v3', 'Standard_D48as_v4', 'Standard_E32-16s_v4', 'Standard_E64d_v4', 'Standard_E64-32ds_v4', 'Standard_E8-4ds_v4', 'Standard_D32_v5', 'Standard_DS4_v2', 'Standard_E32-8ds_v4', 'Standard_E96as_v4', 'Standard_E80is_v4', 'Standard_F2', 'Standard_E64-32s_v4', 'Standard_D96s_v5', 'Standard_E96-48as_v4', 'Standard_NC24', 'Standard_E32-8as_v4', 'Standard_D64-32s_v3', 'Standard_H16mr', 'Standard_D64ds_v5', 'Standard_NV24s_v3', 'Standard_D64s_v3', 'Standard_NV16as_v4', 'Standard_D2s_v5', 'Standard_M208-104ms_v2', 'Standard_DS13-4_v2', 'Standard_E8s_v4', 'Standard_D16ds_v4', 'Standard_E64_v4', 'Standard_D2as_v4', 'Standard_A1', 'Standard_E8-4as_v4', 'Standard_H8', 'Standard_D48ds_v5', 'Standard_D32s_v5', 'Standard_DS2_v2', 'Standard_D2d_v5', 'Standard_DC2s_v2', 'Standard_A8m_v2', 'Standard_D32s_v4', 'Standard_E8-4s_v4', 'Standard_D12_v2', 'Standard_D16_v4', 'Standard_E48_v3', 'Standard_D32a_v4', 'Standard_M32ms', 'Standard_G2', 'Standard_D48_v5', 'Standard_M128', 'Standard_A4_v2', 'Standard_G5', 'Standard_E4-2as_v4', 'Standard_M64-32ms', 'Standard_D32-8s_v3', 'Standard_E20_v4', 'Standard_E16-4s_v4', 'Standard_F8', 'Standard_F16', 'Standard_D16_v5', 'Standard_E32d_v5', 'Standard_NC16as_T4_v3', 'Standard_D64a_v4', 'Standard_L4s', 'Standard_D4_v5', 'Standard_E96_v5', 'Standard_D16a_v4', 'Standard_E32s_v3', 'Standard_E32s_v4', 'Standard_D8ds_v5', 'Standard_E48as_v4', 'Standard_D15_v2', 'Standard_E4_v5', 'Standard_E4ds_v4', 'Standard_D2s_v3', 'Standard_DS14_v2', 'Standard_D16_v3', 'Standard_NV48s_v3', 'Standard_M64ds_v2', 'Standard_E8-2s_v3', 'Standard_E4-2s_v3', 'Standard_D8ds_v4', 'Standard_D32ds_v5', 'Standard_E16ds_v4', 'Standard_E32_v3', 'Basic_A2', 'Standard_A2m_v2', 'Standard_D16s_v5', 'Standard_D64as_v4', 'Standard_DS12-2_v2', '', 'Standard_A2', 'Standard_M416ms_v2', 'Standard_D64_v3', 'Standard_NC24r', 'Standard_E32-16as_v4', 'Standard_D48d_v5', 'Standard_D13_v2', 'Standard_E48_v5', 'Standard_E2s_v3', 'Standard_D3_v2', 'Standard_E20d_v4', 'Standard_L32s', 'Standard_M8-2ms', 'Standard_D48s_v4', 'Standard_L8s_v2', 'Standard_E16_v3', 'Standard_E20s_v3', 'Standard_DC8_v2', 'Standard_D16s_v3', 'Standard_M16-4ms', 'Standard_DS14-4_v2', 'Standard_A6', 'Standard_M416-104ms_v2', 'Standard_D8s_v3', 'Standard_H8m', 'Standard_M64dms_v2', 'Standard_DS12-1_v2', 'Standard_E8-4s_v3', 'Standard_D96_v5', 'Standard_M64ms_v2', 'Standard_D48s_v3', 'Standard_E4as_v4', 'Standard_D8d_v5', 'Standard_E8-2ds_v4', 'Standard_NC24s_v3', 'Standard_L32s_v2', 'Standard_E96-24as_v4', 'Standard_M416s_v2', 'Standard_E32a_v4', 'Standard_M128s', 'Standard_F4', 'Standard_M64', 'Standard_D64_v4', 'Standard_E8-2s_v4', 'Standard_D64d_v4', 'Standard_F2s_v2', 'Standard_M128ms_v2', 'Standard_A4', 'Standard_H16r', 'Standard_DS1_v2', 'Standard_E32_v5', 'Standard_D2_v4', 'Standard_D4s_v5', 'Standard_NC24rs_v3', 'Standard_M32s', 'Standard_E2d_v5', 'Standard_E48d_v4', 'Standard_NV24', 'Standard_GS2', 'Standard_E80ids_v4', 'Standard_M32dms_v2', 'Standard_D96a_v4', 'Standard_D8s_v5', 'Standard_E32-16ds_v4', 'Standard_E32-16s_v3', 'Standard_GS5', 'Standard_D16as_v4', 'Standard_M32-8ms', 'Standard_D48d_v4', 'Standard_F64s_v2', 'Standard_DS11-1_v2', 'Standard_D11_v2', 'Standard_E16-4ds_v4', 'Standard_E8d_v4', 'Standard_GS4-8', 'Standard_DS5_v2', 'Standard_E48ds_v4', 'Standard_D32d_v4', 'Standard_H16m', 'Standard_D48_v4', 'Standard_E64ds_v4', 'Standard_L64s_v2', 'Standard_D4s_v3', 'Standard_D64s_v4', 'Standard_D64d_v5', 'Standard_D96ds_v5', 'Standard_E16-8s_v4', 'Standard_DS15_v2', 'Standard_G1', 'Standard_F72s_v2', 'Standard_D32as_v4', 'Standard_DS14-8_v2', 'Standard_A5', 'Standard_H16', 'Standard_E16d_v4', 'Standard_E32_v4', 'Standard_D2_v5', 'Standard_NV6', 'Standard_E64as_v4', 'Standard_L16s', 'Standard_D32d_v5', 'Standard_D16s_v4', 'Standard_E16as_v4', 'Standard_E32-8s_v4', 'Standard_NC8as_T4_v3', 'Standard_F4s', 'Standard_DS13_v2', 'Standard_E4s_v3', 'Standard_D16d_v5', 'Standard_D8s_v4', 'Standard_D8as_v4', 'Standard_E64-16s_v3', 'Standard_D4a_v4', 'Standard_M32ls', 'Standard_F1s', 'Standard_D96d_v5', 'Standard_D2ds_v5', 'Standard_NC6', 'Standard_E64d_v5', 'Standard_E20as_v4', 'Standard_D4_v2', 'Standard_M208-52s_v2', 'Standard_E16-8as_v4', 'Standard_M192ims_v2', 'Standard_D8a_v4', 'Standard_E8d_v5', 'Standard_D4_v4', 'Standard_D14_v2', 'Standard_E96a_v4', 'Standard_M416-104s_v2', 'Standard_D48ds_v4', 'Standard_M128ms', 'Standard_E48d_v5', 'Standard_E16-4as_v4', 'Standard_D4ds_v5', 'Standard_E16-4s_v3', 'Standard_D32-16s_v3', 'Standard_A8_v2', 'Basic_A0', 'Standard_M416-208s_v2', 'Standard_E2_v5', 'Standard_M64ms', 'Standard_M128-64ms', 'Standard_D4s_v4', 'Standard_E2s_v4', 'Standard_M128m'],
'ukwest': ['Standard_F2s_v2', 'Standard_M416-208s_v2', 'Standard_M208-52s_v2', 'Standard_F16s', 'Standard_E64s_v4', 'Standard_D48_v4', 'Standard_F8s', 'Standard_M8-4ms', 'Standard_A4m_v2', 'Standard_E4_v4', 'Standard_M128-32ms', 'Standard_E16-8ds_v4', 'Standard_D16_v4', 'Standard_D32a_v4', 'Standard_DC4s_v2', 'Standard_E64-32s_v4', 'Standard_M416ms_v2', 'Standard_D48s_v3', 'Standard_D32s_v5', 'Standard_DS4_v2', 'Standard_E32-16s_v3', 'Standard_E2_v3', 'Standard_E32-8ds_v4', 'Standard_F1', 'Standard_E32_v4', 'Standard_M128s', 'Standard_E8_v5', 'Standard_F4s', 'Standard_D32s_v3', 'Standard_D8s_v5', 'Standard_DS13_v2', 'Standard_D48a_v4', 'Standard_E16ds_v4', 'Standard_D4s_v5', 'Standard_E4_v5', 'Standard_D64a_v4', 'Standard_D16s_v5', 'Standard_D32-8s_v3', 'Standard_E16_v5', 'Standard_E64-32ds_v4', 'Standard_A8m_v2', 'Standard_A8_v2', 'Standard_E48_v4', 'Standard_E8s_v3', 'Standard_E32-8s_v3', 'Standard_D2s_v4', 'Standard_E2ds_v4', 'Standard_M32ls', 'Standard_E20_v3', 'Standard_D64_v4', 'Standard_A4_v2', 'Standard_D8s_v3', 'Standard_D64ds_v5', 'Standard_D16a_v4', 'Standard_F4s_v2', 'Standard_M64-16ms', 'Standard_DS11-1_v2', 'Standard_D48d_v5', 'Standard_D2_v5', 'Standard_E20ds_v4', 'Standard_A5', 'Standard_E16-8s_v4', 'Standard_D32_v3', 'Standard_E4-2s_v3', 'Standard_D8_v3', 'Standard_DS15i_v2', 'Standard_E4d_v4', 'Standard_E64is_v3', 'Standard_D2s_v3', 'Standard_D4ds_v4', 'Standard_E8-4s_v3', 'Standard_D64s_v4', 'Standard_E16s_v4', 'Standard_E16_v3', 'Standard_M16-8ms', 'Standard_E32ds_v4', 'Standard_E8-4ds_v4', 'Standard_E64_v5', 'Standard_M128ms', 'Standard_F4', 'Standard_E32_v5', 'Standard_E64_v3', 'Standard_E64s_v3', 'Standard_E64-16s_v4', 'Standard_E16_v4', 'Standard_D8d_v4', 'Standard_D48ds_v5', 'Standard_E80ids_v4', 'Standard_D64_v5', 'Standard_D48d_v4', 'Standard_D32-16s_v3', 'Standard_E32-8s_v4', 'Standard_E64-16s_v3', 'Standard_E8ds_v4', 'Standard_D48_v3', 'Standard_M128', 'Standard_D2_v4', 'Standard_DS1_v2', 'Standard_E64-32s_v3', 'Standard_M208ms_v2', 'Standard_D48ds_v4', 'Standard_D96ds_v5', 'Standard_M64ls', 'Standard_E8-2s_v4', 'Standard_D14_v2', '', 'Standard_D4_v5', 'Standard_D15i_v2', 'Standard_D15_v2', 'Standard_F32s_v2', 'Standard_E32d_v4', 'Standard_D2s_v5', 'Standard_M32-8ms', 'Standard_D8ds_v5', 'Standard_D2a_v4', 'Standard_D32s_v4', 'Standard_D96d_v5', 'Standard_E8d_v4', 'Standard_D3_v2', 'Standard_M32s', 'Standard_D4s_v4', 'Standard_E64_v4', 'Standard_D8a_v4', 'Standard_D1_v2', 'Standard_D4_v4', 'Standard_D8_v5', 'Standard_E20_v5', 'Standard_E4d_v5', 'Standard_E16d_v5', 'Standard_M208s_v2', 'Standard_M32ts', 'Standard_M64-32ms', 'Standard_E32_v3', 'Standard_D96s_v5', 'Standard_DS2_v2', 'Standard_D64-32s_v3', 'Standard_M416s_v2', 'Standard_F8', 'Standard_DS14_v2', 'Standard_DS3_v2', 'Standard_E64ds_v4', 'Standard_D8d_v5', 'Standard_E20_v4', 'Standard_DS14-4_v2', 'Standard_E48_v5', 'Standard_F72s_v2', 'Standard_E32s_v3', 'Standard_E8s_v4', 'Standard_D4ds_v5', 'Standard_E2s_v4', 'Standard_M416-104s_v2', 'Standard_D8_v4', 'Standard_DS5_v2', 'Standard_E20s_v3', 'Standard_D11_v2', 'Standard_E64d_v4', 'Standard_M64ms', 'Standard_F48s_v2', 'Standard_F64s_v2', 'Basic_A4', 'Standard_F8s_v2', 'Standard_D64s_v3', 'Standard_A7', 'Standard_DS13-4_v2', 'Standard_D32ds_v4', 'Standard_M16s', 'Standard_D48s_v4', 'Standard_E48_v3', 'Standard_E48ds_v4', 'Basic_A0', 'Standard_E4s_v4', 'Standard_A4', 'Standard_D48s_v5', 'Standard_E8-2ds_v4', 'Standard_D4a_v4', 'Standard_D16ds_v5', 'Standard_E16s_v3', 'Standard_D64_v3', 'Standard_F16s_v2', 'Standard_M64m', 'Standard_DS12-1_v2', 'Standard_M416-104ms_v2', 'Standard_D16_v5', 'Standard_M128-64ms', 'Standard_D96a_v4', 'Standard_D4d_v5', 'Standard_E2_v4', 'Standard_E4s_v3', 'Standard_E4_v3', 'Standard_D48_v5', 'Standard_M64s', 'Standard_A1_v2', 'Standard_E32d_v5', 'Standard_DS12-2_v2', 'Standard_E20d_v5', 'Standard_D8ds_v4', 'Standard_DC2s_v2', 'Standard_E64i_v3', 'Standard_E32s_v4', 'Basic_A3', 'Standard_E20s_v4', 'Standard_D2ds_v5', 'Standard_M208-104ms_v2', 'Standard_A0', 'Standard_E4-2ds_v4', 'Basic_A1', 'Standard_D32ds_v5', 'Standard_M208-52ms_v2', 'Standard_DS14-8_v2', 'Standard_D2_v2', 'Standard_DS11_v2', 'Standard_A2', 'Standard_D96_v5', 'Standard_D13_v2', 'Standard_A3', 'Standard_M8ms', 'Standard_M32ms', 'Standard_DS15_v2', 'Standard_E80is_v4', 'Standard_E48s_v3', 'Standard_E8-4s_v4', 'Standard_D2_v3', 'Standard_D64s_v5', 'Standard_E4ds_v4', 'Standard_DC1s_v2', 'Standard_E2_v5', 'Standard_D16d_v5', 'Standard_D2d_v5', 'Standard_F16', 'Standard_D2d_v4', 'Standard_D4_v2', 'Standard_D64d_v4', 'Standard_D2ds_v4', 'Standard_DS13-2_v2', 'Standard_M208-104s_v2', 'Standard_F2s', 'Standard_M416-208ms_v2', 'Standard_M64', 'Standard_D16_v3', 'Standard_E16-8s_v3', 'Basic_A2', 'Standard_D12_v2', 'Standard_A2_v2', 'Standard_DC8_v2', 'Standard_D64-16s_v3', 'Standard_A1', 'Standard_D64d_v5', 'Standard_D16s_v3', 'Standard_D16d_v4', 'Standard_E20d_v4', 'Standard_D32d_v5', 'Standard_E16-4s_v3', 'Standard_F1s', 'Standard_E96d_v5', 'Standard_E32-16s_v4', 'Standard_DS12_v2', 'Standard_D32_v4', 'Standard_E48d_v4', 'Standard_A2m_v2', 'Standard_E8_v4', 'Standard_D4_v3', 'Standard_E16d_v4', 'Standard_E48s_v4', 'Standard_D8s_v4', 'Standard_M16-4ms', 'Standard_E64d_v5', 'Standard_M128m', 'Standard_D4s_v3', 'Standard_M16ms', 'Standard_E48d_v5', 'Standard_E32-16ds_v4', 'Standard_E16-4ds_v4', 'Standard_E2s_v3', 'Standard_M32-16ms', 'Standard_D16ds_v4', 'Standard_E16-4s_v4', 'Standard_E8d_v5', 'Standard_D64ds_v4', 'Standard_D5_v2', 'Standard_D32d_v4', 'Standard_E96_v5', 'Standard_E2d_v4', 'Standard_M416is_v2', 'Standard_E64-16ds_v4', 'Standard_E8_v3', 'Standard_M8-2ms', 'Standard_D16s_v4', 'Standard_F2', 'Standard_E8-2s_v3', 'Standard_D4d_v4', 'Standard_E4-2s_v4', 'Standard_D32_v5', 'Standard_E2d_v5', 'Standard_A6'],
'koreacentral': ['Standard_M416-104ms_v2', 'Standard_M64-32ms', 'Standard_D96d_v5', 'Standard_E8_v4', 'Standard_M208-104s_v2', 'Standard_D64s_v3', 'Standard_E64d_v4', 'Standard_DS14-8_v2', 'Standard_E8_v3', 'Standard_F4s', 'Standard_M16s', 'Standard_F72s_v2', 'Standard_E32s_v3', 'Standard_E16-4s_v4', '', 'Standard_E8-4as_v4', 'Standard_D2ds_v5', 'Standard_E16-8s_v3', 'Standard_D8_v3', 'Standard_E8-4s_v4', 'Basic_A4', 'Standard_E64-32ds_v4', 'Standard_F2', 'Standard_D1_v2', 'Standard_D16as_v4', 'Standard_E64_v4', 'Standard_E80is_v4', 'Standard_D64_v4', 'Standard_E64-16s_v4', 'Standard_D64_v3', 'Standard_D8ds_v5', 'Standard_E8-4ds_v4', 'Standard_NC64as_T4_v3', 'Standard_M208-104ms_v2', 'Standard_D2ds_v4', 'Standard_D48s_v3', 'Standard_E48ds_v4', 'Standard_D4as_v4', 'Standard_HC44-32rs', 'Standard_E2d_v4', 'Standard_A2_v2', 'Standard_M32-8ms', 'Standard_E48s_v4', 'Standard_D2_v5', 'Basic_A3', 'Standard_NC16as_T4_v3', 'Standard_E48_v4', 'Standard_M128ms', 'Standard_NC4as_T4_v3', 'Standard_D14_v2', 'Standard_E32s_v4', 'Standard_D96_v5', 'Standard_D16_v3', 'Standard_D15_v2', 'Standard_E4_v3', 'Standard_F16', 'Standard_E16d_v4', 'Standard_D48_v3', 'Standard_D48s_v4', 'Standard_E16s_v4', 'Standard_D8a_v4', 'Standard_E20as_v4', 'Standard_E20s_v4', 'Standard_E20_v3', 'Standard_E8d_v4', 'Basic_A1', 'Standard_M8ms', 'Standard_A4', 'Standard_F8s_v2', 'Standard_DS13_v2', 'Standard_HC44rs', 'Standard_E32-8s_v4', 'Standard_D5_v2', 'Standard_E64-32s_v4', 'Standard_E8-2ds_v4', 'Standard_D8ds_v4', 'Standard_E96-48as_v4', 'Standard_A8_v2', 'Standard_HC44-16rs', 'Standard_M64ls', 'Standard_E16_v4', 'Standard_F1', 'Standard_D64s_v5', 'Standard_NC12s_v3', 'Standard_D64-16s_v3', 'Standard_A8m_v2', 'Standard_E48d_v4', 'Standard_D96as_v4', 'Standard_E32d_v4', 'Standard_E16-8ds_v4', 'Standard_D32s_v4', 'Standard_D96s_v5', 'Standard_D48a_v4', 'Standard_D32as_v4', 'Standard_M32-16ms', 'Standard_D8s_v4', 'Standard_D32s_v3', 'Standard_D4ds_v5', 'Standard_D4a_v4', 'Standard_E4-2ds_v4', 'Standard_E32-16ds_v4', 'Standard_D64d_v4', 'Standard_E96-24as_v4', 'Standard_D64s_v4', 'Standard_NV32as_v4', 'Standard_D32_v5', 'Standard_M8-4ms', 'Standard_E16ds_v4', 'Standard_E96as_v4', 'Standard_E20_v4', 'Standard_F1s', 'Standard_E2_v5', 'Standard_E32d_v5', 'Standard_E2s_v3', 'Standard_E8s_v3', 'Standard_E64s_v4', 'Standard_F8s', 'Standard_DS12-1_v2', 'Standard_E32as_v4', 'Standard_E20ds_v4', 'Standard_A1_v2', 'Standard_E4as_v4', 'Standard_D16d_v5', 'Standard_DS12_v2', 'Standard_M416-208ms_v2', 'Standard_M416is_v2', 'Standard_E64d_v5', 'Standard_D48as_v4', 'Standard_E48_v5', 'Standard_NC6s_v3', 'Standard_E64-16ds_v4', 'Standard_D13_v2', 'Standard_A4m_v2', 'Standard_D16s_v5', 'Basic_A0', 'Standard_E4d_v5', 'Standard_DS13-2_v2', 'Standard_D8_v4', 'Standard_D96a_v4', 'Standard_M32ts', 'Standard_A0', 'Standard_E32-16s_v4', 'Standard_DS1_v2', 'Standard_F32s_v2', 'Standard_E96_v5', 'Standard_E4d_v4', 'Standard_E8-2s_v3', 'Standard_F48s_v2', 'Standard_D2_v3', 'Standard_D32ds_v5', 'Standard_E16-4s_v3', 'Standard_D64a_v4', 'Standard_M16-4ms', 'Standard_E8-2s_v4', 'Standard_D4s_v3', 'Standard_A6', 'Standard_E2a_v4', 'Standard_NV4as_v4', 'Standard_D2as_v4', 'Standard_E64-16as_v4', 'Standard_E16-8s_v4', 'Standard_E64-32s_v3', 'Standard_E8-2as_v4', 'Standard_DS4_v2', 'Standard_D64ds_v4', 'Standard_M416-208s_v2', 'Standard_D48s_v5', 'Standard_D32ds_v4', 'Standard_DS5_v2', 'Standard_F2s_v2', 'Standard_E32a_v4', 'Standard_E16-8as_v4', 'Standard_E32_v4', 'Standard_E4a_v4', 'Standard_E8ds_v4', 'Standard_E16-4ds_v4', 'Standard_D16d_v4', 'Standard_E64as_v4', 'Standard_E32ds_v4', 'Standard_E64_v5', 'Standard_E8s_v4', 'Standard_D32_v4', 'Standard_E2d_v5', 'Standard_E4-2as_v4', 'Standard_M416s_v2', 'Standard_E16d_v5', 'Standard_NC8as_T4_v3', 'Standard_E8as_v4', 'Standard_E8_v5', 'Standard_E4_v5', 'Standard_D16s_v3', 'Standard_E16as_v4', 'Standard_E96a_v4', 'Standard_E16a_v4', 'Standard_F8', 'Standard_D48d_v5', 'Standard_E16_v5', 'Standard_D2_v2', 'Standard_D4_v4', 'Standard_D4d_v4', 'Standard_DS3_v2', 'Standard_E48_v3', 'Standard_E32-8s_v3', 'Standard_E20_v5', 'Standard_E20d_v4', 'Standard_M16-8ms', 'Standard_D8s_v5', 'Standard_D32_v3', 'Standard_E4ds_v4', 'Standard_F2s', 'Standard_F4s_v2', 'Standard_M8-2ms', 'Standard_M416-104s_v2', 'Standard_E8-4s_v3', 'Standard_E4_v4', 'Standard_E16-4as_v4', 'Standard_NC24s_v3', 'Standard_E2ds_v4', 'Standard_E64a_v4', 'Standard_E32_v3', 'Standard_D64as_v4', 'Standard_D4s_v4', 'Standard_E64_v3', 'Standard_D32-8s_v3', 'Standard_E16_v3', 'Standard_E8a_v4', 'Standard_D11_v2', 'Standard_A5', 'Standard_M128m', 'Standard_D32a_v4', 'Standard_D64ds_v5', 'Standard_DS2_v2', 'Standard_M208-52ms_v2', 'Standard_E2as_v4', 'Standard_DS13-4_v2', 'Standard_E64-16s_v3', 'Standard_D32d_v5', 'Standard_A4_v2', 'Standard_NV16as_v4', 'Standard_D8_v5', 'Standard_F4', 'Standard_E20s_v3', 'Standard_M208-52s_v2', 'Standard_D16ds_v4', 'Standard_D96ds_v5', 'Standard_E32-16as_v4', 'Standard_D48ds_v4', 'Standard_M32s', 'Standard_E4s_v3', 'Standard_D2s_v5', 'Standard_M128s', 'Standard_A2m_v2', 'Standard_D16ds_v5', 'Standard_E48d_v5', 'Standard_D16s_v4', 'Standard_E64i_v3', 'Standard_D4d_v5', 'Standard_D32s_v5', 'Standard_E32-8as_v4', 'Standard_DS14_v2', 'Standard_D64d_v5', 'Standard_E32-8ds_v4', 'Standard_D12_v2', 'Standard_D2_v4', 'Standard_E64s_v3', 'Standard_M128-32ms', 'Standard_D32d_v4', 'Standard_D2a_v4', 'Standard_D15i_v2', 'Standard_M64ms', 'Standard_A3', 'Standard_D4ds_v4', 'Standard_E48a_v4', 'Standard_NC24rs_v3', 'Standard_M128-64ms', 'Standard_D8d_v5', 'Standard_M64', 'Standard_D16_v5', 'Standard_E32-16s_v3', 'Standard_D8as_v4', 'Standard_E48as_v4', 'Standard_M16ms', 'Standard_DS15i_v2', 'Standard_A1', 'Standard_E2s_v4', 'Standard_E20a_v4', 'Standard_E20d_v5', 'Standard_E4-2s_v4', 'Standard_D64-32s_v3', 'Standard_D48ds_v5', 'Standard_DS11_v2', 'Standard_D48_v4', 'Standard_E4s_v4', 'Standard_E64is_v3', 'Standard_M64m', 'Standard_E4-2s_v3', 'Basic_A2', 'Standard_M32ls', 'Standard_M64s', 'Standard_F16s_v2', 'Standard_D3_v2', 'Standard_D16_v4', 'Standard_F16s', 'Standard_M64-16ms', 'Standard_NV8as_v4', 'Standard_M416ms_v2', 'Standard_D4_v3', 'Standard_E64-32as_v4', 'Standard_D48d_v4', 'Standard_E80ids_v4', 'Standard_E8d_v5', 'Standard_DS11-1_v2', 'Standard_M208s_v2', 'Standard_D64_v5', 'Standard_D2s_v3', 'Standard_DS15_v2', 'Standard_E64ds_v4', 'Standard_D2d_v4', 'Standard_D8s_v3', 'Standard_E16s_v3', 'Standard_E32_v5', 'Standard_D2d_v5', 'Standard_D48_v5', 'Standard_DS14-4_v2', 'Standard_E2_v3', 'Standard_D8d_v4', 'Standard_M208ms_v2', 'Standard_D4s_v5', 'Standard_D2s_v4', 'Standard_D16a_v4', 'Standard_DS12-2_v2', 'Standard_M32ms', 'Standard_D4_v2', 'Standard_F64s_v2', 'Standard_A7', 'Standard_D32-16s_v3', 'Standard_E48s_v3', 'Standard_M128', 'Standard_E2_v4', 'Standard_A2', 'Standard_D4_v5', 'Standard_E96d_v5'],
'koreasouth': ['Standard_E64-16ds_v4', 'Standard_D4_v5', 'Standard_A2m_v2', 'Standard_D2_v3', 'Standard_D96a_v4', 'Standard_E32d_v5', 'Standard_E20s_v4', 'Standard_E64-32s_v3', 'Standard_M32ts', 'Standard_M416is_v2', 'Standard_E8_v5', 'Standard_E32ds_v4', 'Standard_D2a_v4', 'Standard_M64ms', 'Standard_D32ds_v5', 'Standard_E32d_v4', 'Standard_D64a_v4', 'Standard_E48_v3', 'Standard_E2s_v4', 'Standard_E8as_v4', 'Standard_D64d_v4', 'Standard_DS5_v2', 'Standard_F4s_v2', 'Standard_D4d_v4', 'Standard_D64s_v4', 'Standard_E20ds_v4', 'Standard_E8-2ds_v4', 'Standard_D64_v4', 'Standard_D64as_v4', 'Standard_M64-16ms', 'Standard_D32_v3', 'Standard_E64s_v4', 'Basic_A0', 'Standard_E64-16s_v3', 'Standard_E4s_v4', 'Standard_D13_v2', 'Standard_M208-52ms_v2', 'Standard_E8-4ds_v4', 'Standard_D32-16s_v3', 'Standard_E8-2s_v4', 'Standard_E16ds_v4', 'Standard_D32ds_v4', 'Standard_E96-24as_v4', 'Standard_M208ms_v2', 'Standard_D64_v3', 'Standard_D16_v3', 'Standard_E16d_v4', 'Standard_E48ds_v4', 'Standard_D64s_v5', 'Standard_E16_v5', 'Standard_F16s', 'Standard_E4-2s_v3', 'Standard_D48d_v5', 'Standard_DS14-4_v2', 'Standard_D8_v5', 'Standard_D4s_v5', 'Standard_E64_v5', 'Standard_F8', 'Standard_D8ds_v4', 'Standard_E20_v4', 'Standard_D48_v4', 'Standard_F64s_v2', 'Standard_F1s', 'Standard_E64d_v5', 'Standard_D16a_v4', 'Standard_E20_v3', 'Standard_D2ds_v5', 'Standard_D48s_v3', 'Standard_E2a_v4', 'Standard_A5', 'Standard_D4_v4', 'Standard_D11_v2', 'Standard_E4s_v3', 'Standard_E4_v5', 'Standard_DS11_v2', 'Standard_DS1_v2', 'Standard_E64-32s_v4', 'Standard_E4_v3', 'Standard_E16-4as_v4', 'Standard_D2s_v5', 'Standard_D96_v5', 'Standard_D4_v3', 'Standard_M8-4ms', 'Standard_D2_v5', 'Standard_D48_v3', 'Standard_D1_v2', 'Standard_E2_v4', 'Standard_E96as_v4', 'Standard_D32_v4', 'Standard_E64-32as_v4', 'Standard_M208-104ms_v2', 'Standard_E48as_v4', 'Standard_D16as_v4', 'Standard_D2s_v4', 'Standard_D96d_v5', 'Standard_D32s_v5', 'Standard_D32a_v4', 'Standard_NC64as_T4_v3', 'Standard_E8_v3', 'Standard_D4d_v5', 'Standard_A1', 'Standard_D64d_v5', 'Standard_D16s_v4', 'Standard_D8a_v4', 'Standard_E32s_v3', 'Standard_A4', 'Standard_D48s_v4', 'Standard_E80is_v4', 'Standard_E2d_v5', 'Standard_E8-4s_v3', 'Standard_DS13_v2', 'Standard_F1', 'Standard_E8_v4', 'Basic_A1', 'Standard_E2ds_v4', 'Standard_E48s_v4', 'Standard_E48d_v4', 'Standard_E16as_v4', 'Standard_D8s_v5', 'Standard_E32-8as_v4', 'Standard_M32-8ms', 'Standard_NC4as_T4_v3', 'Standard_E96d_v5', 'Standard_DS14-8_v2', 'Standard_E64s_v3', 'Standard_E32_v5', 'Standard_E32-8s_v4', 'Standard_D16ds_v5', 'Standard_D16ds_v4', 'Standard_D2d_v5', 'Standard_E2_v3', 'Standard_E64ds_v4', 'Standard_E20_v5', 'Basic_A3', 'Standard_D64ds_v5', 'Standard_M416-104s_v2', 'Standard_E16s_v4', 'Standard_E20d_v5', 'Standard_A1_v2', 'Standard_D4ds_v5', 'Standard_D16_v4', 'Standard_E48_v5', 'Standard_D64s_v3', 'Standard_D4ds_v4', 'Standard_E64_v4', 'Standard_E16-4s_v4', 'Standard_DS15_v2', 'Standard_E16d_v5', 'Standard_D4s_v4', 'Standard_M416-104ms_v2', 'Standard_A8_v2', 'Standard_D16_v5', 'Standard_DS12_v2', 'Basic_A4', 'Standard_E32-8ds_v4', 'Standard_F4s', 'Standard_M416-208ms_v2', 'Standard_E4as_v4', '', 'Standard_M16ms', 'Standard_A2_v2', 'Standard_E16s_v3', 'Standard_F32s_v2', 'Standard_M64', 'Standard_F4', 'Standard_E64a_v4', 'Standard_A8m_v2', 'Standard_D8s_v3', 'Standard_M64ls', 'Standard_D4as_v4', 'Standard_D2_v2', 'Standard_DS13-2_v2', 'Standard_E8-2as_v4', 'Standard_D64ds_v4', 'Standard_DS3_v2', 'Standard_A7', 'Standard_E32-16s_v4', 'Standard_E96-48as_v4', 'Standard_E2_v5', 'Standard_F2s_v2', 'Standard_E48d_v5', 'Standard_D16s_v3', 'Standard_E64d_v4', 'Standard_E8-4s_v4', 'Standard_F48s_v2', 'Standard_D96s_v5', 'Standard_E20as_v4', 'Standard_M16-8ms', 'Standard_A0', 'Standard_D3_v2', 'Standard_F2s', 'Standard_NC16as_T4_v3', 'Standard_F2', 'Standard_D32-8s_v3', 'Standard_A3', 'Standard_A4_v2', 'Standard_M16-4ms', 'Standard_M208-52s_v2', 'Standard_DS2_v2', 'Standard_DS14_v2', 'Standard_E32-8s_v3', 'Standard_D8as_v4', 'Standard_A2', 'Standard_D64-32s_v3', 'Standard_F72s_v2', 'Standard_M32-16ms', 'Standard_E8-2s_v3', 'Standard_E64i_v3', 'Standard_D15_v2', 'Standard_M32s', 'Standard_E8s_v3', 'Basic_A2', 'Standard_D8_v3', 'Standard_D8s_v4', 'Standard_D96ds_v5', 'Standard_D48ds_v4', 'Standard_D4_v2', 'Standard_A4m_v2', 'Standard_D64_v5', 'Standard_E64-16as_v4', 'Standard_D32_v5', 'Standard_E64is_v3', 'Standard_D48a_v4', 'Standard_E20s_v3', 'Standard_F16s_v2', 'Standard_DS13-4_v2', 'Standard_E32a_v4', 'Standard_M8-2ms', 'Standard_D16d_v4', 'Standard_D48ds_v5', 'Standard_E96a_v4', 'Standard_E64as_v4', 'Standard_M16s', 'Standard_D48s_v5', 'Standard_F8s_v2', 'Standard_M128-32ms', 'Standard_D96as_v4', 'Standard_E48_v4', 'Standard_D15i_v2', 'Standard_D2d_v4', 'Standard_M32ls', 'Standard_M8ms', 'Standard_E16-4ds_v4', 'Standard_E4-2ds_v4', 'Standard_E16_v3', 'Standard_D8d_v5', 'Standard_D32d_v5', 'Standard_M32ms', 'Standard_E4_v4', 'Standard_DS15i_v2', 'Standard_D32s_v4', 'Standard_E8ds_v4', 'Standard_E8d_v5', 'Standard_E4ds_v4', 'Standard_D2ds_v4', 'Standard_D2_v4', 'Standard_M64s', 'Standard_D48_v5', 'Standard_D12_v2', 'Standard_D32s_v3', 'Standard_E32-16as_v4', 'Standard_E4d_v5', 'Standard_D2s_v3', 'Standard_DS4_v2', 'Standard_A6', 'Standard_E4-2as_v4', 'Standard_E32as_v4', 'Standard_E8a_v4', 'Standard_D32as_v4', 'Standard_E2d_v4', 'Standard_E64-32ds_v4', 'Standard_DS11-1_v2', 'Standard_M128s', 'Standard_E32_v4', 'Standard_M416ms_v2', 'Standard_E16-8ds_v4', 'Standard_E16a_v4', 'Standard_E16_v4', 'Standard_D2as_v4', 'Standard_D64-16s_v3', 'Standard_D32d_v4', 'Standard_D14_v2', 'Standard_NC8as_T4_v3', 'Standard_E80ids_v4', 'Standard_E32-16s_v3', 'Standard_D4s_v3', 'Standard_E16-8s_v4', 'Standard_M128-64ms', 'Standard_D5_v2', 'Standard_E64_v3', 'Standard_D8ds_v5', 'Standard_M416s_v2', 'Standard_E32_v3', 'Standard_E8s_v4', 'Standard_M416-208s_v2', 'Standard_E8d_v4', 'Standard_E16-4s_v3', 'Standard_D16d_v5', 'Standard_D48d_v4', 'Standard_E2s_v3', 'Standard_M208s_v2', 'Standard_E64-16s_v4', 'Standard_D8_v4', 'Standard_F8s', 'Standard_E32-16ds_v4', 'Standard_E16-8as_v4', 'Standard_E8-4as_v4', 'Standard_E48s_v3', 'Standard_D4a_v4', 'Standard_E48a_v4', 'Standard_E20d_v4', 'Standard_E4d_v4', 'Standard_D8d_v4', 'Standard_E20a_v4', 'Standard_E4a_v4', 'Standard_M208-104s_v2', 'Standard_E4-2s_v4', 'Standard_M128ms', 'Standard_E96_v5', 'Standard_DS12-1_v2', 'Standard_D16s_v5', 'Standard_M128', 'Standard_M64-32ms', 'Standard_M128m', 'Standard_D48as_v4', 'Standard_E2as_v4', 'Standard_E32s_v4', 'Standard_F16', 'Standard_E16-8s_v3', 'Standard_M64m', 'Standard_DS12-2_v2'],
'francecentral': ['Standard_E32-8s_v4', 'Standard_D4s_v5', 'Standard_DS3_v2', 'Standard_D64-16s_v3', 'Standard_E64_v4', 'Standard_D4s_v4', 'Standard_D96s_v5', 'Standard_M16s', 'Standard_M32ms_v2', 'Standard_M64dms_v2', 'Standard_D64d_v4', 'Standard_M128-32ms', 'Standard_E4-2s_v3', 'Standard_E8_v5', 'Standard_D2s_v4', 'Standard_M128-64ms', 'Standard_A1_v2', 'Standard_E32-8s_v3', 'Standard_NC24rs_v3', 'Standard_D4_v5', 'Standard_E2_v3', 'Standard_A8_v2', 'Standard_D8d_v5', 'Standard_D64d_v5', 'Standard_E20s_v3', 'Standard_DS5_v2', 'Standard_D48_v4', 'Standard_D2_v4', 'Standard_E4ds_v4', 'Standard_DS15_v2', 'Standard_E64-32s_v3', 'Standard_D2_v2', 'Standard_D32_v3', 'Standard_DS13-2_v2', 'Standard_E16-8s_v3', 'Standard_F2s_v2', 'Standard_M8-4ms', 'Standard_M8-2ms', 'Standard_D48ds_v5', 'Standard_E32d_v5', 'Standard_M64ms', 'Standard_F8s', 'Standard_E2s_v3', 'Standard_D48s_v3', 'Standard_D64_v3', 'Standard_M64', 'Standard_DS12-2_v2', 'Standard_D48d_v4', 'Standard_D8_v3', 'Standard_E4-2ds_v4', 'Standard_DS14_v2', 'Standard_E16-4s_v3', 'Standard_D4ds_v4', 'Standard_E16d_v5', 'Standard_NV12s_v3', 'Standard_M32ls', 'Standard_E2d_v5', 'Standard_E16-8ds_v4', 'Standard_D96d_v5', 'Standard_M32-8ms', 'Standard_D16s_v3', 'Standard_D8s_v4', 'Standard_D32ds_v4', 'Standard_M128s_v2', 'Standard_E20_v3', 'Standard_F8s_v2', 'Basic_A3', 'Standard_D48_v5', 'Standard_D8_v4', 'Standard_E64i_v3', 'Standard_D64s_v3', 'Standard_D3_v2', 'Standard_M192idms_v2', 'Standard_E16s_v4', 'Standard_F2s', 'Standard_D16s_v4', 'Standard_E32-16s_v4', 'Standard_D16d_v4', 'Standard_E32ds_v4', 'Standard_E16-8s_v4', 'Standard_NC12s_v3', 'Standard_M128ds_v2', 'Standard_E2ds_v4', 'Standard_E32_v3', 'Standard_D8ds_v4', 'Standard_DS14-8_v2', 'Standard_E64s_v4', 'Standard_D48s_v5', '', 'Standard_D14_v2', 'Standard_NC6s_v3', 'Standard_D32s_v3', 'Standard_D2s_v5', 'Standard_D15i_v2', 'Standard_A2m_v2', 'Standard_M64m', 'Standard_M192ims_v2', 'Standard_M32ms', 'Standard_D4_v3', 'Basic_A4', 'Standard_D32-8s_v3', 'Standard_E64-32ds_v4', 'Standard_DS12_v2', 'Standard_D4ds_v5', 'Standard_D2s_v3', 'Standard_E4-2s_v4', 'Standard_E16-4ds_v4', 'Standard_L32s_v2', 'Standard_F48s_v2', 'Standard_E16ds_v4', 'Standard_E48d_v5', 'Standard_E64_v3', 'Standard_DS14-4_v2', 'Standard_E32-8ds_v4', 'Standard_A1', 'Standard_E20d_v4', 'Standard_E2_v5', 'Standard_D32d_v5', 'Standard_D64_v4', 'Standard_E8-4s_v4', 'Standard_E16d_v4', 'Standard_L48s_v2', 'Standard_A0', 'Standard_D48_v3', 'Standard_E4_v3', 'Standard_DS1_v2', 'Standard_E48ds_v4', 'Standard_E80ids_v4', 'Standard_DS11-1_v2', 'Standard_E4s_v3', 'Standard_D16s_v5', 'Standard_E8s_v4', 'Standard_E64d_v5', 'Standard_E20s_v4', 'Standard_D48d_v5', 'Standard_F16s', 'Standard_A7', 'Standard_D2ds_v4', 'Standard_E8_v4', 'Standard_M64s', 'Standard_D2d_v4', 'Standard_M16ms', 'Standard_D16_v4', 'Standard_D4s_v3', 'Standard_D96_v5', 'Standard_E48_v3', 'Standard_E4_v5', 'Standard_E64ds_v4', 'Standard_D32d_v4', 'Standard_E64d_v4', 'Standard_DS13-4_v2', 'Standard_D48ds_v4', 'Standard_E20_v5', 'Standard_D64s_v5', 'Standard_A2', 'Standard_D2_v5', 'Standard_M16-8ms', 'Standard_F4s_v2', 'Standard_D4_v2', 'Standard_E96d_v5', 'Basic_A2', 'Standard_D8ds_v5', 'Basic_A1', 'Standard_E32s_v4', 'Standard_M192ids_v2', 'Standard_E8_v3', 'Standard_E4_v4', 'Standard_E4d_v4', 'Standard_D32s_v4', 'Standard_M16-4ms', 'Standard_E64-16ds_v4', 'Standard_D8d_v4', 'Standard_D64s_v4', 'Standard_M64s_v2', 'Standard_E4d_v5', 'Standard_D32_v5', 'Standard_DS11_v2', 'Standard_F2', 'Standard_E80is_v4', 'Standard_E32d_v4', 'Standard_A4m_v2', 'Standard_A2_v2', 'Standard_D2ds_v5', 'Standard_M128ms', 'Standard_D64_v5', 'Standard_A4_v2', 'Standard_D2d_v5', 'Standard_A3', 'Standard_A5', 'Standard_E48_v5', 'Standard_M128m', 'Standard_E8s_v3', 'Standard_E2d_v4', 'Standard_M64ds_v2', 'Standard_F16', 'Standard_M32dms_v2', 'Standard_F32s_v2', 'Standard_E4s_v4', 'Standard_A6', 'Standard_D4d_v5', 'Standard_E2s_v4', 'Standard_F1s', 'Standard_F64s_v2', 'Standard_D16_v3', 'Standard_E8d_v5', 'Standard_E8-2s_v3', 'Standard_E64-16s_v4', 'Standard_D15_v2', 'Standard_D16_v5', 'Standard_F72s_v2', 'Standard_D16d_v5', 'Standard_D32-16s_v3', 'Standard_E8-4s_v3', 'Standard_DS2_v2', 'Standard_M64-32ms', 'Standard_E8d_v4', 'Standard_E32-16ds_v4', 'Standard_M192is_v2', 'Standard_E32_v4', 'Standard_E8-2s_v4', 'Standard_L64s_v2', 'Standard_F8', 'Standard_D32_v4', 'Standard_D5_v2', 'Standard_D16ds_v4', 'Standard_E8-4ds_v4', 'Standard_E96_v5', 'Standard_E64is_v3', 'Basic_A0', 'Standard_D2_v3', 'Standard_DS4_v2', 'Standard_E16s_v3', 'Standard_M32-16ms', 'Standard_D8s_v5', 'Standard_M64ls', 'Standard_D64ds_v5', 'Standard_D12_v2', 'Standard_E64_v5', 'Standard_E2_v4', 'Standard_NV24s_v3', 'Standard_F4', 'Standard_E64s_v3', 'Standard_E64-32s_v4', 'Standard_D48s_v4', 'Standard_D8s_v3', 'Standard_M128dms_v2', 'Standard_E16_v5', 'Standard_E48s_v3', 'Standard_DS13_v2', 'Standard_E8-2ds_v4', 'Standard_NV48s_v3', 'Standard_E48_v4', 'Standard_M64ms_v2', 'Standard_M64-16ms', 'Standard_D96ds_v5', 'Standard_E20d_v5', 'Standard_M32ts', 'Standard_DS12-1_v2', 'Standard_F16s_v2', 'Standard_D11_v2', 'Standard_M8ms', 'Standard_E16-4s_v4', 'Standard_E48s_v4', 'Standard_A4', 'Standard_M128s', 'Standard_F1', 'Standard_E32s_v3', 'Standard_D16ds_v5', 'Standard_D64-32s_v3', 'Standard_F4s', 'Standard_E16_v4', 'Standard_E48d_v4', 'Standard_L16s_v2', 'Standard_M128', 'Standard_M128ms_v2', 'Standard_E20ds_v4', 'Standard_D4d_v4', 'Standard_D13_v2', 'Standard_D32ds_v5', 'Standard_E32-16s_v3', 'Standard_E8ds_v4', 'Standard_E32_v5', 'Standard_A8m_v2', 'Standard_D1_v2', 'Standard_D64ds_v4', 'Standard_L80s_v2', 'Standard_E64-16s_v3', 'Standard_D32s_v5', 'Standard_M32s', 'Standard_D8_v5', 'Standard_L8s_v2', 'Standard_D4_v4', 'Standard_E20_v4', 'Standard_NC24s_v3', 'Standard_DS15i_v2', 'Standard_E16_v3'],
'southafricanorth': ['Standard_D4s_v4', 'Standard_DS13_v2', 'Standard_E32s_v4', 'Standard_D64-32s_v3', 'Standard_DS11', 'Standard_E64d_v4', 'Standard_E80is_v4', 'Standard_DS14', 'Standard_D15_v2', 'Standard_M64dms_v2', 'Standard_D32-16s_v3', 'Standard_E64d_v5', 'Standard_E4_v4', 'Standard_D2s_v3', 'Standard_D48s_v4', 'Standard_DS5_v2', 'Standard_D4d_v4', 'Standard_DS15i_v2', 'Standard_E8_v5', 'Standard_M64ls', 'Standard_M128s_v2', 'Standard_M32ms_v2', 'Standard_D48ds_v4', 'Standard_E16-8s_v4', 'Standard_D3_v2', 'Standard_D4ds_v5', 'Standard_D48s_v5', 'Standard_E96d_v5', 'Standard_E16-4s_v4', 'Standard_M8ms', 'Standard_D2_v3', 'Standard_DS14_v2', 'Standard_E16-4ds_v4', 'Standard_E32_v3', 'Standard_DS4', 'Standard_D64ds_v5', 'Standard_D48d_v4', 'Standard_D64_v4', 'Standard_DS11-1_v2', '', 'Standard_E2s_v3', 'Standard_DS1', 'Standard_E8-4s_v4', 'Standard_E64_v5', 'Standard_D64ds_v4', 'Standard_E32_v5', 'Standard_M208-52ms_v2', 'Standard_E96_v5', 'Standard_M32-16ms', 'Standard_E4_v5', 'Standard_D2ds_v4', 'Standard_F2', 'Standard_M16ms', 'Standard_D1', 'Standard_M208-52s_v2', 'Standard_D8s_v3', 'Standard_D96_v5', 'Standard_D32-8s_v3', 'Standard_E64s_v4', 'Standard_E16ds_v4', 'Standard_D8ds_v4', 'Standard_D8d_v5', 'Standard_D5_v2', 'Standard_F72s_v2', 'Standard_F4', 'Standard_D96s_v5', 'Standard_M32ms', 'Standard_E2_v5', 'Standard_D8d_v4', 'Standard_A2m_v2', 'Standard_E64-32ds_v4', 'Standard_E48d_v5', 'Standard_D11_v2', 'Standard_E64-32s_v4', 'Standard_E48s_v3', 'Standard_E80ids_v4', 'Standard_M416-208s_v2', 'Standard_E48s_v4', 'Standard_D16s_v5', 'Standard_M128dms_v2', 'Standard_M8-4ms', 'Standard_D2_v4', 'Standard_M32ts', 'Standard_M16s', 'Standard_E4ds_v4', 'Standard_M128ms_v2', 'Standard_M416-208ms_v2', 'Standard_D48_v4', 'Standard_D16_v4', 'Standard_D8_v5', 'Standard_A8_v2', 'Standard_D4d_v5', 'Standard_M128s', 'Standard_M128-64ms', 'Standard_E48_v3', 'Standard_E64_v3', 'Standard_M208-104s_v2', 'Standard_DS13-4_v2', 'Standard_D2s_v5', 'Standard_A4m_v2', 'Standard_DS3', 'Standard_E64ds_v4', 'Standard_M32ls', 'Standard_E16_v5', 'Standard_D16ds_v5', 'Standard_D16_v5', 'Standard_M16-8ms', 'Standard_M64ms', 'Standard_D64_v3', 'Standard_E20_v5', 'Standard_E2_v3', 'Standard_M208-104ms_v2', 'Standard_DS2_v2', 'Standard_M192is_v2', 'Standard_D48ds_v5', 'Standard_M192ims_v2', 'Standard_D16ds_v4', 'Standard_DS2', 'Standard_F2s', 'Standard_F4s', 'Standard_D96ds_v5', 'Standard_F64s_v2', 'Standard_E8-4ds_v4', 'Standard_E8s_v4', 'Standard_DS12', 'Standard_E16s_v3', 'Standard_M192idms_v2', 'Standard_D16s_v4', 'Standard_F4s_v2', 'Standard_E20s_v3', 'Standard_M32-8ms', 'Standard_A2_v2', 'Standard_D12_v2', 'Standard_E32d_v5', 'Standard_E2_v4', 'Standard_D2d_v5', 'Standard_D64s_v5', 'Standard_D16_v3', 'Standard_E64is_v3', 'Standard_E16d_v4', 'Standard_M128-32ms', 'Standard_E64i_v3', 'Standard_D2d_v4', 'Standard_NV12s_v3', 'Standard_DS13-2_v2', 'Standard_E16-8s_v3', 'Standard_D12', 'Standard_E16-4s_v3', 'Standard_DS3_v2', 'Standard_DS11_v2', 'Standard_E8-4s_v3', 'Standard_E4-2s_v4', 'Standard_F1', 'Standard_E4s_v4', 'Standard_DS12-2_v2', 'Standard_D32ds_v5', 'Standard_D11', 'Standard_M64s', 'Standard_E20_v4', 'Standard_D4s_v3', 'Standard_D4s_v5', 'Standard_D8_v3', 'Standard_E8ds_v4', 'Standard_E64-16ds_v4', 'Standard_D8s_v4', 'Standard_M128ds_v2', 'Standard_E4d_v4', 'Standard_D4_v5', 'Standard_D15i_v2', 'Standard_DS1_v2', 'Standard_D4_v3', 'Standard_D4_v2', 'Standard_E8_v4', 'Standard_D8s_v5', 'Standard_M416-104ms_v2', 'Standard_E8-2s_v4', 'Standard_D4_v4', 'Standard_F8s', 'Standard_M32dms_v2', 'Standard_DS14-4_v2', 'Standard_D32s_v4', 'Standard_F1s', 'Standard_D2_v5', 'Standard_E32-8s_v3', 'Standard_E48ds_v4', 'Standard_E16d_v5', 'Standard_M192ids_v2', 'Standard_E32-16s_v3', 'Standard_DS15_v2', 'Standard_D3', 'Standard_D13', 'Standard_E16_v4', 'Standard_M64ds_v2', 'Standard_D64_v5', 'Standard_E48_v5', 'Standard_E2ds_v4', 'Standard_M32s', 'Standard_D64s_v3', 'Standard_NV48s_v3', 'Standard_E32-16ds_v4', 'Standard_D2ds_v5', 'Standard_D32s_v5', 'Standard_D32_v3', 'Standard_D1_v2', 'Standard_A4_v2', 'Standard_E20d_v4', 'Standard_D2s_v4', 'Standard_E16_v3', 'Standard_D48s_v3', 'Standard_E2s_v4', 'Standard_E4-2ds_v4', 'Standard_M64', 'Standard_D14', 'Standard_D48d_v5', 'Standard_E4d_v5', 'Standard_D32_v5', 'Standard_D13_v2', 'Standard_F8s_v2', 'Standard_E16-8ds_v4', 'Standard_F16', 'Standard_D32ds_v4', 'Standard_F2s_v2', 'Standard_M128ms', 'Standard_D64d_v5', 'Standard_E4-2s_v3', 'Standard_E20ds_v4', 'Standard_DS12-1_v2', 'Standard_M64-16ms', 'Standard_E8-2s_v3', 'Standard_M16-4ms', 'Standard_D32d_v5', 'Standard_D16s_v3', 'Standard_E8_v3', 'Standard_E2d_v4', 'Standard_D8ds_v5', 'Standard_E32-8ds_v4', 'Standard_D32_v4', 'Standard_E32_v4', 'Standard_M8-2ms', 'Standard_E8d_v4', 'Standard_DS4_v2', 'Standard_E64s_v3', 'Standard_E20_v3', 'Standard_E20d_v5', 'Standard_E8d_v5', 'Standard_D64-16s_v3', 'Standard_A8m_v2', 'Standard_E32s_v3', 'Standard_E48_v4', 'Standard_E16s_v4', 'Standard_E20s_v4', 'Standard_E64-16s_v4', 'Standard_E64_v4', 'Standard_D4ds_v4', 'Standard_D48_v3', 'Standard_DS12_v2', 'Standard_E32ds_v4', 'Standard_F8', 'Standard_F32s_v2', 'Standard_E8s_v3', 'Standard_DS14-8_v2', 'Standard_D14_v2', 'Standard_F16s', 'Standard_E4s_v3', 'Standard_M64s_v2', 'Standard_D2_v2', 'Standard_M64ms_v2', 'Standard_M416-104s_v2', 'Standard_A1_v2', 'Standard_M64-32ms', 'Standard_NV24s_v3', 'Standard_E64-16s_v3', 'Standard_D96d_v5', 'Standard_E48d_v4', 'Standard_D64s_v4', 'Standard_M64m', 'Standard_E4_v3', 'Standard_E2d_v5', 'Standard_D48_v5', 'Standard_E32-8s_v4', 'Standard_D4', 'Standard_D32d_v4', 'Standard_D2', 'Standard_D16d_v4', 'Standard_E32-16s_v4', 'Standard_F16s_v2', 'Standard_E64-32s_v3', 'Standard_E8-2ds_v4', 'Standard_E32d_v4', 'Standard_F48s_v2', 'Standard_DS13', 'Standard_D32s_v3', 'Standard_D8_v4', 'Standard_M128m', 'Standard_D64d_v4', 'Standard_D16d_v5', 'Standard_M128'],
'uaenorth': ['Standard_D16s_v3', 'Standard_DS13', 'Standard_E4-2s_v4', 'Standard_E32-8s_v3', 'Standard_E64d_v5', 'Standard_D32d_v5', 'Standard_DS2_v2', 'Standard_D4s_v3', 'Standard_E16_v5', 'Standard_E32_v3', 'Standard_E4-2ds_v4', 'Standard_F64s_v2', 'Standard_D2_v2', 'Standard_E64s_v3', 'Standard_M192idms_v2', 'Standard_E4d_v5', 'Standard_M32dms_v2', 'Standard_M64-32ms', 'Standard_M64ms_v2', 'Standard_M416-104ms_v2', 'Standard_E48_v3', 'Standard_D32d_v4', 'Standard_E48d_v4', 'Standard_E20_v3', 'Standard_M128ms_v2', 'Standard_D3_v2', 'Standard_D64ds_v5', 'Standard_D64-32s_v3', 'Standard_D48d_v5', 'Standard_D48_v5', 'Standard_D15_v2', 'Standard_M32ms_v2', 'Standard_E4_v4', 'Standard_D48s_v4', 'Standard_E96d_v5', 'Standard_M8-2ms', 'Standard_D4_v5', 'Standard_D32_v5', 'Standard_E32_v5', 'Standard_DS12', 'Standard_M192ims_v2', 'Standard_E32-16s_v4', 'Standard_D14_v2', 'Standard_D32_v3', 'Standard_DS13-4_v2', 'Standard_E20ds_v4', 'Standard_A2m_v2', 'Standard_M128-32ms', 'Standard_D2s_v3', 'Standard_M32ls', 'Standard_M192is_v2', 'Standard_D11_v2', 'Standard_E2_v5', 'Standard_D2', 'Standard_F1', 'Standard_E64is_v3', 'Standard_D2ds_v4', 'Standard_DS11_v2', 'Standard_E64-16s_v4', 'Standard_DS14-4_v2', 'Standard_M32ms', 'Standard_D32s_v3', 'Standard_E64s_v4', 'Standard_NV24s_v3', 'Standard_D4_v3', 'Standard_D1', 'Standard_D16d_v5', 'Standard_D8d_v4', 'Standard_M8-4ms', 'Standard_F16s', 'Standard_D16s_v4', 'Standard_E64-16ds_v4', 'Standard_D8d_v5', 'Standard_E64d_v4', 'Standard_DS11-1_v2', 'Standard_D32_v4', 'Standard_D13_v2', 'Standard_D13', 'Standard_DS15_v2', 'Standard_D4d_v5', 'Standard_D64d_v5', 'Standard_D64s_v4', 'Standard_M16-8ms', 'Standard_D4_v2', 'Standard_D11', 'Standard_E32d_v4', 'Standard_E4_v3', 'Standard_E32ds_v4', 'Standard_D64d_v4', 'Standard_E8-4ds_v4', 'Standard_D4s_v4', 'Standard_DS11', 'Standard_E16-4s_v4', 'Standard_E64_v4', 'Standard_DS1_v2', 'Standard_E48_v4', 'Standard_DS12-1_v2', 'Standard_D32s_v5', 'Standard_D32ds_v4', 'Standard_DS13-2_v2', 'Standard_E2d_v5', 'Standard_E4-2s_v3', 'Standard_M16s', 'Standard_DS2', 'Standard_E32d_v5', 'Standard_D8s_v5', 'Standard_E48ds_v4', 'Standard_E2s_v3', 'Standard_E8d_v5', 'Standard_D15i_v2', 'Standard_F48s_v2', 'Standard_E8_v3', 'Standard_E16d_v5', 'Standard_E4_v5', 'Standard_E16-8s_v4', 'Standard_D8s_v3', 'Standard_E8-2ds_v4', 'Standard_M32-16ms', 'Standard_DS15i_v2', 'Standard_E4d_v4', 'Standard_M64ls', 'Standard_M416is_v2', '', 'Standard_M128ms', 'Standard_E8ds_v4', 'Standard_E16-8ds_v4', 'Standard_D12_v2', 'Standard_F32s_v2', 'Standard_E2ds_v4', 'Standard_E32_v4', 'Standard_E96_v5', 'Standard_E16-4s_v3', 'Standard_D48_v4', 'Standard_M64ds_v2', 'Standard_E32-16ds_v4', 'Standard_E32-8s_v4', 'Standard_D64ds_v4', 'Standard_M8ms', 'Standard_D16_v4', 'Standard_M64s', 'Standard_M16-4ms', 'Standard_D4', 'Standard_E2s_v4', 'Standard_E64_v5', 'Standard_M208-104ms_v2', 'Standard_M208-52ms_v2', 'Standard_DS12-2_v2', 'Standard_M64dms_v2', 'Standard_D48s_v5', 'Standard_D8_v4', 'Standard_F8s', 'Standard_D16ds_v4', 'Standard_DS12_v2', 'Standard_M208s_v2', 'Standard_HB120rs_v2', 'Standard_D64_v5', 'Standard_DS13_v2', 'Standard_DS14', 'Standard_M208-104s_v2', 'Standard_M416-208ms_v2', 'Standard_M128m', 'Standard_M416ms_v2', 'Standard_E80ids_v4', 'Standard_F1s', 'Standard_D32-16s_v3', 'Standard_E20s_v3', 'Standard_D2s_v5', 'Standard_E8_v4', 'Standard_E2_v3', 'Standard_F2s_v2', 'Standard_E64ds_v4', 'Standard_A4m_v2', 'Standard_NV48s_v3', 'Standard_D48ds_v5', 'Standard_M208-52s_v2', 'Standard_E16s_v3', 'Standard_NV12s_v3', 'Standard_F8s_v2', 'Standard_M32ts', 'Standard_D96d_v5', 'Standard_E4s_v3', 'Standard_E2_v4', 'Standard_E32s_v3', 'Standard_D4s_v5', 'Standard_E16ds_v4', 'Standard_M32-8ms', 'Standard_E20_v5', 'Standard_E8-2s_v3', 'Standard_D32ds_v5', 'Standard_A8m_v2', 'Standard_D8_v5', 'Standard_D3', 'Standard_E64-32s_v3', 'Standard_D16_v5', 'Standard_D96s_v5', 'Standard_E20s_v4', 'Standard_M416-104s_v2', 'Standard_E16_v3', 'Standard_D4ds_v4', 'Standard_E48d_v5', 'Standard_M64m', 'Standard_E8-2s_v4', 'Standard_E2d_v4', 'Standard_D4ds_v5', 'Standard_F8', 'Standard_M416s_v2', 'Standard_E64-32ds_v4', 'Standard_D96_v5', 'Standard_D8ds_v4', 'Standard_D2d_v5', 'Standard_DS3_v2', 'Standard_D14', 'Standard_D96ds_v5', 'Standard_D32-8s_v3', 'Standard_E16s_v4', 'Standard_DS5_v2', 'Standard_E20d_v5', 'Standard_M128s_v2', 'Standard_E8s_v3', 'Standard_M32s', 'Standard_A2_v2', 'Standard_D48s_v3', 'Standard_D2s_v4', 'Standard_D48ds_v4', 'Standard_F4', 'Standard_M208ms_v2', 'Standard_E32-16s_v3', 'Standard_M128ds_v2', 'Standard_D2_v3', 'Standard_DS3', 'Standard_E4s_v4', 'Standard_D64s_v3', 'Standard_A1_v2', 'Standard_F72s_v2', 'Standard_E48_v5', 'Standard_E32s_v4', 'Standard_E8-4s_v3', 'Standard_D5_v2', 'Standard_E64i_v3', 'Standard_M64-16ms', 'Standard_E8_v5', 'Standard_A4_v2', 'Standard_E64_v3', 'Standard_F16', 'Standard_E8-4s_v4', 'Standard_F16s_v2', 'Standard_A8_v2', 'Standard_D16s_v5', 'Standard_D48_v3', 'Standard_DS14-8_v2', 'Standard_D64_v3', 'Standard_E48s_v4', 'Standard_DS1', 'Standard_D16ds_v5', 'Standard_E20_v4', 'Standard_M16ms', 'Standard_D64s_v5', 'Standard_E64-16s_v3', 'Standard_F4s_v2', 'Standard_M64', 'Standard_E16_v4', 'Standard_F2', 'Standard_D8_v3', 'Standard_D48d_v4', 'Standard_D4_v4', 'Standard_E32-8ds_v4', 'Standard_D64_v4', 'Standard_E20d_v4', 'Standard_DS4_v2', 'Standard_D16_v3', 'Standard_D2_v4', 'Standard_D12', 'Standard_E64-32s_v4', 'Standard_DS14_v2', 'Standard_E8s_v4', 'Standard_M128s', 'Standard_D64-16s_v3', 'Standard_M64ms', 'Standard_D8s_v4', 'Standard_E8d_v4', 'Standard_D4d_v4', 'Standard_D2d_v4', 'Standard_F2s', 'Standard_D1_v2', 'Standard_F4s', 'Standard_M128dms_v2', 'Standard_E4ds_v4', 'Standard_E16-8s_v3', 'Standard_D32s_v4', 'Standard_E16d_v4', 'Standard_D8ds_v5', 'Standard_E16-4ds_v4', 'Standard_DS4', 'Standard_D2_v5', 'Standard_E80is_v4', 'Standard_M128', 'Standard_M128-64ms', 'Standard_D2ds_v5', 'Standard_M64s_v2', 'Standard_E48s_v3', 'Standard_D16d_v4', 'Standard_M416-208s_v2', 'Standard_M192ids_v2'],
'australiacentral': ['Standard_E8-2ds_v4', 'Standard_D48_v5', 'Standard_E64ds_v4', 'Basic_A3', 'Standard_E8_v5', 'Standard_E16s_v4', 'Standard_M128-64ms', 'Standard_D32s_v3', 'Standard_E32-16s_v4', 'Standard_D4ds_v4', 'Standard_D64-32s_v3', 'Standard_M64-16ms', 'Standard_E2s_v4', 'Standard_E8s_v3', 'Standard_E32_v5', 'Standard_D8d_v5', 'Standard_E16-4s_v3', 'Standard_F1', 'Standard_E32s_v3', 'Standard_D8s_v3', 'Standard_E16d_v4', 'Standard_E80ids_v4', 'Standard_D8ds_v5', 'Standard_M16-8ms', 'Standard_E64d_v4', 'Standard_E8-4s_v4', 'Standard_F16s', 'Standard_E32_v3', 'Standard_A6', 'Standard_M416-208ms_v2', 'Standard_A2', 'Standard_F2s_v2', 'Standard_M128', 'Standard_DS11-1_v2', 'Standard_M416-104s_v2', 'Standard_F8s', 'Standard_E16_v3', 'Standard_E4s_v3', 'Standard_F16', 'Standard_DS5_v2', 'Standard_D48_v4', 'Standard_D48d_v5', 'Standard_D16ds_v4', 'Standard_D16ds_v5', 'Standard_A8_v2', 'Standard_A5', 'Standard_E32-16s_v3', 'Standard_E80is_v4', 'Standard_D16s_v5', 'Standard_E64_v5', 'Standard_D3_v2', 'Basic_A1', 'Basic_A2', 'Standard_E16s_v3', 'Standard_M8-4ms', 'Standard_M416s_v2', 'Standard_DS11_v2', 'Standard_DS4_v2', 'Standard_DS1_v2', 'Standard_E64_v4', 'Standard_DS14-4_v2', '', 'Standard_D16s_v4', 'Standard_M208s_v2', 'Standard_D8_v5', 'Standard_E16-8s_v3', 'Basic_A0', 'Standard_E48_v5', 'Standard_A4_v2', 'Standard_E4ds_v4', 'Standard_E20d_v4', 'Standard_M32s', 'Standard_E2d_v5', 'Standard_D1_v2', 'Standard_E4_v5', 'Standard_M32-16ms', 'Standard_M416is_v2', 'Standard_E96d_v5', 'Standard_E20s_v4', 'Standard_E64s_v3', 'Standard_F1s', 'Standard_D64s_v4', 'Standard_M16s', 'Standard_D4s_v5', 'Standard_D16d_v5', 'Standard_E8_v4', 'Standard_M32-8ms', 'Standard_D8ds_v4', 'Standard_D5_v2', 'Standard_D2s_v4', 'Standard_D2d_v5', 'Standard_D64_v5', 'Standard_E2_v3', 'Standard_D16_v5', 'Standard_D2_v4', 'Standard_M208-52s_v2', 'Standard_F8s_v2', 'Standard_E32d_v5', 'Standard_D2_v2', 'Standard_E8ds_v4', 'Standard_E4_v3', 'Standard_DS15_v2', 'Standard_DS2_v2', 'Standard_E48d_v4', 'Standard_D64d_v5', 'Standard_D4ds_v5', 'Standard_D32d_v5', 'Standard_F48s_v2', 'Standard_D48ds_v5', 'Standard_D4d_v4', 'Standard_D8_v3', 'Standard_E64-16s_v4', 'Standard_D96d_v5', 'Standard_M416-208s_v2', 'Standard_D32ds_v5', 'Standard_DS15i_v2', 'Standard_D2d_v4', 'Standard_E20_v5', 'Standard_E16-8ds_v4', 'Standard_M32ts', 'Standard_D4s_v4', 'Standard_M64', 'Standard_D32s_v5', 'Standard_E16-4ds_v4', 'Standard_F16s_v2', 'Standard_E2d_v4', 'Standard_E20_v3', 'Standard_D48s_v3', 'Standard_M64m', 'Standard_E64-32ds_v4', 'Standard_D16_v3', 'Standard_E48s_v3', 'Standard_E20s_v3', 'Standard_E64s_v4', 'Standard_A0', 'Standard_E8d_v4', 'Standard_A3', 'Standard_D32s_v4', 'Standard_D32_v5', 'Standard_E48_v3', 'Standard_D32-16s_v3', 'Standard_E4-2ds_v4', 'Standard_M208-104ms_v2', 'Standard_D32_v4', 'Standard_E2ds_v4', 'Standard_D2ds_v5', 'Standard_D2s_v5', 'Standard_D16s_v3', 'Standard_M416ms_v2', 'Standard_M16-4ms', 'Standard_F32s_v2', 'Standard_DS13-2_v2', 'Standard_E96_v5', 'Standard_E16-8s_v4', 'Standard_E4_v4', 'Standard_E8_v3', 'Standard_D96ds_v5', 'Standard_E4d_v5', 'Standard_E32-8s_v4', 'Standard_D48_v3', 'Standard_E32_v4', 'Standard_E16ds_v4', 'Standard_E4-2s_v3', 'Standard_M8ms', 'Standard_E20d_v5', 'Standard_E4d_v4', 'Standard_DS12-1_v2', 'Standard_E64-32s_v3', 'Standard_M64ms', 'Standard_F8', 'Standard_F4s_v2', 'Standard_M64-32ms', 'Standard_E48ds_v4', 'Standard_M416-104ms_v2', 'Standard_D32-8s_v3', 'Standard_A1', 'Standard_F4', 'Standard_D8_v4', 'Standard_E16_v5', 'Standard_E48d_v5', 'Standard_D14_v2', 'Standard_F4s', 'Standard_E20_v4', 'Standard_D13_v2', 'Standard_E48_v4', 'Standard_E2_v5', 'Standard_D12_v2', 'Standard_D64_v4', 'Standard_M32ms', 'Standard_D64s_v3', 'Standard_D96_v5', 'Standard_D8s_v4', 'Standard_E8d_v5', 'Standard_D48s_v5', 'Standard_D2s_v3', 'Standard_E20ds_v4', 'Standard_D4_v3', 'Standard_M128-32ms', 'Standard_D64ds_v5', 'Standard_F64s_v2', 'Standard_D64s_v5', 'Standard_E8s_v4', 'Standard_D32d_v4', 'Standard_A1_v2', 'Standard_D16d_v4', 'Standard_D96s_v5', 'Standard_M64ls', 'Standard_A2m_v2', 'Standard_E8-4ds_v4', 'Standard_DS12_v2', 'Standard_D48s_v4', 'Standard_E32-8ds_v4', 'Standard_E64_v3', 'Standard_D2_v3', 'Standard_E2_v4', 'Standard_M208-104s_v2', 'Standard_D48ds_v4', 'Standard_D4_v4', 'Standard_F2', 'Standard_E4s_v4', 'Standard_D15_v2', 'Standard_M128s', 'Standard_D4_v5', 'Standard_E8-2s_v3', 'Standard_E16d_v5', 'Standard_M128ms', 'Standard_M64s', 'Standard_E2s_v3', 'Standard_DS13_v2', 'Standard_A8m_v2', 'Standard_A4', 'Standard_D4s_v3', 'Basic_A4', 'Standard_E64-32s_v4', 'Standard_DS14_v2', 'Standard_D64d_v4', 'Standard_DS14-8_v2', 'Standard_E8-2s_v4', 'Standard_DS13-4_v2', 'Standard_D32_v3', 'Standard_A4m_v2', 'Standard_D64_v3', 'Standard_D8s_v5', 'Standard_F72s_v2', 'Standard_D4d_v5', 'Standard_M208-52ms_v2', 'Standard_M208ms_v2', 'Standard_E64-16s_v3', 'Standard_E64-16ds_v4', 'Standard_E32ds_v4', 'Standard_M32ls', 'Standard_A2_v2', 'Standard_D2_v5', 'Standard_F2s', 'Standard_E64d_v5', 'Standard_M16ms', 'Standard_DS3_v2', 'Standard_M128m', 'Standard_D64-16s_v3', 'Standard_E48s_v4', 'Standard_D8d_v4', 'Standard_D4_v2', 'Standard_DS12-2_v2', 'Standard_E4-2s_v4', 'Standard_M8-2ms', 'Standard_A7', 'Standard_D64ds_v4', 'Standard_E8-4s_v3', 'Standard_D11_v2', 'Standard_E16_v4', 'Standard_E32-8s_v3', 'Standard_D16_v4', 'Standard_D2ds_v4', 'Standard_D48d_v4', 'Standard_E32d_v4', 'Standard_E32-16ds_v4', 'Standard_E32s_v4', 'Standard_D15i_v2', 'Standard_E16-4s_v4', 'Standard_D32ds_v4'],
'switzerlandnorth': ['Standard_D16s_v3', 'Standard_D2_v4', 'Standard_E64_v3', 'Standard_F64s_v2', 'Standard_F16s_v2', '', 'Standard_E8s_v3', 'Standard_E20d_v4', 'Standard_E16-8ds_v4', 'Standard_D4ds_v5', 'Standard_E16s_v4', 'Standard_D4s_v5', 'Standard_M64-16ms', 'Standard_E16d_v5', 'Standard_E32s_v4', 'Standard_E32-16s_v4', 'Standard_E64-32ds_v4', 'Standard_DS14-4_v2', 'Standard_D64_v4', 'Standard_NC6s_v3', 'Standard_D64_v3', 'Standard_F72s_v2', 'Standard_E64d_v5', 'Standard_D4d_v5', 'Standard_E8d_v5', 'Standard_F16s', 'Standard_E20_v4', 'Standard_D8s_v4', 'Standard_E4-2s_v3', 'Standard_F4s', 'Standard_F8s', 'Standard_D8s_v5', 'Standard_D4s_v3', 'Standard_A2_v2', 'Standard_M8-4ms', 'Standard_F1', 'Standard_E64_v4', 'Standard_E8-4s_v4', 'Standard_D32d_v4', 'Standard_D2ds_v5', 'Standard_DS2_v2', 'Standard_D15_v2', 'Standard_E2_v4', 'Standard_M128ms', 'Standard_E2s_v4', 'Standard_D16s_v4', 'Standard_E48_v4', 'Standard_D48_v4', 'Standard_D2_v5', 'Standard_D4ds_v4', 'Standard_D12_v2', 'Standard_E64s_v3', 'Standard_D96d_v5', 'Standard_E20d_v5', 'Standard_D2_v2', 'Standard_DS12-1_v2', 'Standard_A1_v2', 'Standard_A4m_v2', 'Standard_E64-16s_v4', 'Standard_D8d_v5', 'Standard_D16_v4', 'Standard_D8ds_v4', 'Standard_F8', 'Standard_NV48s_v3', 'Standard_M128', 'Standard_M32ts', 'Standard_D32ds_v5', 'Standard_DS14_v2', 'Standard_NV12s_v3', 'Standard_D3_v2', 'Standard_D48ds_v4', 'Standard_M32s', 'Standard_E64-16ds_v4', 'Standard_M32-8ms', 'Standard_DS13_v2', 'Standard_E32-16s_v3', 'Standard_D64-32s_v3', 'Standard_NC24rs_v3', 'Standard_D4d_v4', 'Standard_D16s_v5', 'Standard_D4_v3', 'Standard_E8-2ds_v4', 'Standard_E32_v4', 'Standard_D4_v4', 'Standard_E2d_v5', 'Standard_E4-2s_v4', 'Standard_D5_v2', 'Standard_M16-4ms', 'Standard_M64m', 'Standard_E16_v5', 'Standard_DS13-4_v2', 'Standard_D32ds_v4', 'Standard_DS5_v2', 'Standard_D64_v5', 'Standard_D32s_v3', 'Standard_E32d_v4', 'Standard_NC12s_v3', 'Standard_E48s_v4', 'Standard_F48s_v2', 'Standard_D48d_v5', 'Standard_E4ds_v4', 'Standard_D4s_v4', 'Standard_D32_v4', 'Standard_E8_v4', 'Standard_E8ds_v4', 'Standard_DS14-8_v2', 'Standard_D48s_v5', 'Standard_E32-16ds_v4', 'Standard_E16s_v3', 'Standard_E4-2ds_v4', 'Standard_D64ds_v4', 'Standard_D64d_v4', 'Standard_E96d_v5', 'Standard_F1s', 'Standard_F4', 'Standard_E64s_v4', 'Standard_DS11_v2', 'Standard_E32ds_v4', 'Standard_E20s_v3', 'Standard_E16-8s_v4', 'Standard_D2_v3', 'Standard_E48d_v5', 'Standard_E4_v3', 'Standard_D48d_v4', 'Standard_E96_v5', 'Standard_D16ds_v5', 'Standard_D64s_v3', 'Standard_NC24s_v3', 'Standard_D15i_v2', 'Standard_M32ls', 'Standard_E2_v3', 'Standard_E64-16s_v3', 'Standard_E20ds_v4', 'Standard_D96ds_v5', 'Standard_E4d_v5', 'Standard_D48_v3', 'Standard_E16-4s_v4', 'Standard_D64ds_v5', 'Standard_D4_v2', 'Standard_DS15i_v2', 'Standard_D32s_v4', 'Standard_E8-2s_v3', 'Standard_F2s', 'Standard_D2d_v5', 'Standard_D8_v3', 'Standard_E16d_v4', 'Standard_E48d_v4', 'Standard_E20_v3', 'Standard_M128s', 'Standard_E48ds_v4', 'Standard_E64d_v4', 'Standard_E64-32s_v4', 'Standard_E8-4s_v3', 'Standard_M64ms', 'Standard_E2ds_v4', 'Standard_M64s', 'Standard_DS15_v2', 'Standard_E8_v3', 'Standard_E32d_v5', 'Standard_E4_v4', 'Standard_E4s_v4', 'Standard_E80is_v4', 'Standard_D8d_v4', 'Standard_E16ds_v4', 'Standard_E32-8s_v3', 'Standard_M128-64ms', 'Standard_D13_v2', 'Standard_NV24s_v3', 'Standard_E4d_v4', 'Standard_E20s_v4', 'Standard_E32s_v3', 'Standard_E2s_v3', 'Standard_D2d_v4', 'Standard_M64-32ms', 'Standard_D64d_v5', 'Standard_E4_v5', 'Standard_D8s_v3', 'Standard_E48_v5', 'Standard_M16-8ms', 'Standard_D2s_v3', 'Standard_D11_v2', 'Standard_E32_v5', 'Standard_M128-32ms', 'Standard_D32_v5', 'Standard_D96s_v5', 'Standard_DS13-2_v2', 'Standard_D48s_v4', 'Standard_E2d_v4', 'Standard_D32-8s_v3', 'Standard_D64-16s_v3', 'Standard_E32-8ds_v4', 'Standard_D14_v2', 'Standard_D48s_v3', 'Standard_M32-16ms', 'Standard_E8-2s_v4', 'Standard_E64is_v3', 'Standard_E16-8s_v3', 'Standard_D64s_v5', 'Standard_E16-4s_v3', 'Standard_M32ms', 'Standard_M64', 'Standard_DS12_v2', 'Standard_D32d_v5', 'Standard_DS3_v2', 'Standard_M64ls', 'Standard_E48s_v3', 'Standard_D1_v2', 'Standard_M8-2ms', 'Standard_F4s_v2', 'Standard_E8s_v4', 'Standard_E4s_v3', 'Standard_D16ds_v4', 'Standard_E80ids_v4', 'Standard_D8ds_v5', 'Standard_D32-16s_v3', 'Standard_D32_v3', 'Standard_E8d_v4', 'Standard_E32_v3', 'Standard_A8m_v2', 'Standard_D16_v3', 'Standard_D96_v5', 'Standard_E16-4ds_v4', 'Standard_E8-4ds_v4', 'Standard_E48_v3', 'Standard_D48_v5', 'Standard_D2s_v4', 'Standard_E16_v4', 'Standard_E20_v5', 'Standard_F16', 'Standard_M8ms', 'Standard_M16s', 'Standard_D2ds_v4', 'Standard_E32-8s_v4', 'Standard_DS12-2_v2', 'Standard_D16d_v5', 'Standard_D2s_v5', 'Standard_D16_v5', 'Standard_M16ms', 'Standard_DS11-1_v2', 'Standard_D4_v5', 'Standard_D32s_v5', 'Standard_D8_v4', 'Standard_F2', 'Standard_F8s_v2', 'Standard_D16d_v4', 'Standard_F32s_v2', 'Standard_E64i_v3', 'Standard_D8_v5', 'Standard_A8_v2', 'Standard_DS1_v2', 'Standard_D64s_v4', 'Standard_D48ds_v5', 'Standard_A2m_v2', 'Standard_E2_v5', 'Standard_A4_v2', 'Standard_F2s_v2', 'Standard_E8_v5', 'Standard_E64ds_v4', 'Standard_E16_v3', 'Standard_E64-32s_v3', 'Standard_E64_v5', 'Standard_M128m', 'Standard_DS4_v2'],
'germanywestcentral': ['Standard_DS2_v2', 'Standard_M192is_v2', 'Standard_NC4as_T4_v3', 'Standard_E4s_v4', 'Standard_M64s', 'Standard_M128-32ms', 'Standard_E32s_v3', 'Standard_D14_v2', 'Standard_E64s_v3', 'Standard_M416-208ms_v2', 'Standard_F1', 'Standard_F2s', 'Standard_M32ts', 'Standard_D2_v2', 'Standard_E64-32s_v4', 'Standard_D32d_v4', 'Standard_E8d_v4', 'Standard_D16s_v5', 'Standard_D4d_v5', 'Standard_E16-8ds_v4', 'Standard_D48d_v4', 'Standard_NC64as_T4_v3', 'Standard_F16s_v2', 'Standard_F64s_v2', 'Standard_M128dms_v2', 'Standard_M208-52s_v2', 'Standard_E64-32s_v3', 'Standard_E16_v4', 'Standard_DS15_v2', 'Standard_E8s_v4', 'Standard_M32ls', 'Standard_D16s_v3', 'Standard_D64-16s_v3', 'Standard_D15_v2', 'Standard_F8', 'Standard_M128s', 'Standard_E20_v5', 'Standard_E48ds_v4', 'Standard_DS12-1_v2', 'Standard_D64d_v4', 'Standard_D5_v2', 'Standard_E64_v5', 'Standard_E16s_v4', 'Standard_D11_v2', 'Standard_D48s_v4', 'Standard_E2_v4', 'Standard_DS15i_v2', 'Standard_E32_v3', 'Standard_D48_v3', 'Standard_M64dms_v2', 'Standard_DS11_v2', 'Standard_E64is_v3', 'Standard_D96s_v5', 'Standard_E96_v5', 'Standard_D32-16s_v3', 'Standard_E16d_v4', 'Standard_D32s_v4', 'Standard_F72s_v2', 'Standard_D64s_v4', 'Standard_M208ms_v2', 'Standard_F4s', 'Standard_D32ds_v4', 'Standard_E32_v5', 'Standard_E48_v5', 'Standard_D32d_v5', 'Standard_E32-8s_v3', 'Standard_F8s', 'Standard_E64_v4', 'Standard_E8-4ds_v4', 'Standard_D4_v3', 'Standard_F4s_v2', 'Standard_D4_v5', 'Standard_E8-2s_v4', 'Standard_E20_v3', 'Standard_D64_v4', 'Standard_E64d_v5', 'Standard_M64-16ms', 'Standard_M16ms', 'Standard_D48_v5', '', 'Standard_D8_v4', 'Standard_D64-32s_v3', 'Standard_D16_v3', 'Standard_E2_v3', 'Standard_E2_v5', 'Standard_DS11-1_v2', 'Standard_D64_v5', 'Standard_E32-16s_v3', 'Standard_F4', 'Standard_E8-4s_v4', 'Standard_E64_v3', 'Standard_D96d_v5', 'Standard_D16ds_v5', 'Standard_D32s_v5', 'Standard_M32-8ms', 'Standard_E2ds_v4', 'Standard_D16d_v5', 'Standard_M32ms_v2', 'Standard_M64-32ms', 'Standard_M64ms_v2', 'Standard_E4_v5', 'Standard_E8-2s_v3', 'Standard_D4d_v4', 'Standard_E8ds_v4', 'Standard_M64ms', 'Standard_D13_v2', 'Standard_D8ds_v5', 'Standard_D15i_v2', 'Standard_E16-4ds_v4', 'Standard_E4-2ds_v4', 'Standard_M128', 'Standard_E64-16ds_v4', 'Standard_D48ds_v5', 'Standard_M416ms_v2', 'Standard_D8_v5', 'Standard_D16_v5', 'Standard_D16_v4', 'Standard_E80is_v4', 'Standard_DS14-4_v2', 'Standard_D2_v3', 'Standard_D3_v2', 'Standard_E16s_v3', 'Standard_E2s_v3', 'Standard_E8-4s_v3', 'Standard_D8d_v4', 'Standard_DS12_v2', 'Standard_DS13_v2', 'Standard_E32s_v4', 'Standard_A4m_v2', 'Standard_M208-104ms_v2', 'Standard_D16s_v4', 'Standard_NC16as_T4_v3', 'Standard_D64s_v3', 'Standard_M64ds_v2', 'Standard_M128ms_v2', 'Standard_D2s_v4', 'Standard_M8ms', 'Standard_E2d_v5', 'Standard_D48s_v5', 'Standard_D4s_v4', 'Standard_D2d_v5', 'Standard_F16s', 'Standard_M32ms', 'Standard_E16-8s_v4', 'Standard_E20d_v5', 'Standard_E48d_v5', 'Standard_E32-16ds_v4', 'Standard_E48s_v4', 'Standard_M32-16ms', 'Standard_DS3_v2', 'Standard_E32ds_v4', 'Standard_E2d_v4', 'Standard_E64i_v3', 'Standard_E8_v4', 'Standard_DS1_v2', 'Standard_M128s_v2', 'Standard_D12_v2', 'Standard_E2s_v4', 'Standard_M32s', 'Standard_D4ds_v4', 'Standard_E64d_v4', 'Standard_D32_v3', 'Standard_E4-2s_v3', 'Standard_E4s_v3', 'Standard_D64s_v5', 'Standard_D4_v4', 'Standard_D2s_v5', 'Standard_E80ids_v4', 'Standard_D8s_v4', 'Standard_D16ds_v4', 'Standard_D32_v5', 'Standard_M64ls', 'Standard_A1_v2', 'Standard_M128m', 'Standard_E20ds_v4', 'Standard_M16-4ms', 'Standard_M128ds_v2', 'Standard_E32_v4', 'Standard_DS14-8_v2', 'Standard_D1_v2', 'Standard_D4_v2', 'Standard_M192ims_v2', 'Standard_D8ds_v4', 'Standard_E64-16s_v4', 'Standard_E16-4s_v3', 'Standard_E4d_v4', 'Standard_E16-4s_v4', 'Standard_A2_v2', 'Standard_M416s_v2', 'Standard_F32s_v2', 'Standard_E32d_v5', 'Standard_M8-4ms', 'Standard_E32-16s_v4', 'Standard_M416-208s_v2', 'Standard_F8s_v2', 'Standard_D2ds_v4', 'Standard_DS12-2_v2', 'Standard_E20s_v4', 'Standard_F1s', 'Standard_E64-16s_v3', 'Standard_D64ds_v5', 'Standard_M16s', 'Standard_M16-8ms', 'Standard_M32dms_v2', 'Standard_E16ds_v4', 'Standard_E48s_v3', 'Standard_F48s_v2', 'Standard_E20s_v3', 'Standard_D2_v5', 'Standard_E4ds_v4', 'Standard_F2', 'Standard_M64', 'Standard_D48s_v3', 'Standard_A4_v2', 'Standard_DS13-2_v2', 'Standard_M192ids_v2', 'Standard_F2s_v2', 'Standard_E16-8s_v3', 'Standard_D48_v4', 'Standard_E8-2ds_v4', 'Standard_D2s_v3', 'Standard_D32ds_v5', 'Standard_D96_v5', 'Standard_E4_v4', 'Standard_E32d_v4', 'Standard_D32s_v3', 'Standard_D8_v3', 'Standard_E64s_v4', 'Standard_M416-104ms_v2', 'Standard_E48d_v4', 'Standard_D16d_v4', 'Standard_E48_v4', 'Standard_A2m_v2', 'Standard_E64-32ds_v4', 'Standard_D48ds_v4', 'Standard_D4s_v3', 'Standard_E16d_v5', 'Standard_E20_v4', 'Standard_D32_v4', 'Standard_D4ds_v5', 'Standard_DS14_v2', 'Standard_E4d_v5', 'Standard_D4s_v5', 'Standard_D48d_v5', 'Standard_M128ms', 'Standard_M208-104s_v2', 'Standard_DS13-4_v2', 'Standard_M208s_v2', 'Standard_D2_v4', 'Standard_M8-2ms', 'Standard_D2d_v4', 'Standard_E16_v5', 'Standard_M416-104s_v2', 'Standard_E48_v3', 'Standard_M416is_v2', 'Standard_E32-8s_v4', 'Standard_D64_v3', 'Standard_A8m_v2', 'Standard_D64d_v5', 'Standard_E16_v3', 'Standard_NC8as_T4_v3', 'Standard_D64ds_v4', 'Standard_E4-2s_v4', 'Standard_E20d_v4', 'Standard_E64ds_v4', 'Standard_D2ds_v5', 'Standard_DS5_v2', 'Standard_E4_v3', 'Standard_DS4_v2', 'Standard_M192idms_v2', 'Standard_E8_v3', 'Standard_D8s_v5', 'Standard_M64m', 'Standard_D8s_v3', 'Standard_D8d_v5', 'Standard_E8s_v3', 'Standard_E8_v5', 'Standard_F16', 'Standard_M208-52ms_v2', 'Standard_D32-8s_v3', 'Standard_M128-64ms', 'Standard_E32-8ds_v4', 'Standard_E96d_v5', 'Standard_D96ds_v5', 'Standard_M64s_v2', 'Standard_E8d_v5', 'Standard_A8_v2'],
'norwayeast': ['Standard_DS12-2_v2', 'Standard_D96ds_v5', 'Standard_D48s_v3', 'Standard_E4_v4', 'Standard_D96d_v5', 'Standard_E48s_v4', 'Standard_E64_v5', '', 'Standard_E64d_v4', 'Standard_E4s_v4', 'Standard_DS3_v2', 'Standard_E2d_v5', 'Standard_E64-16s_v4', 'Standard_E64s_v4', 'Standard_D8d_v4', 'Standard_D32d_v4', 'Standard_D16s_v5', 'Standard_M128ds_v2', 'Standard_DS14-8_v2', 'Standard_D4_v2', 'Standard_E8_v5', 'Standard_E2_v4', 'Standard_M64m', 'Standard_E32-8s_v3', 'Standard_D16ds_v5', 'Standard_E32-8ds_v4', 'Standard_E48_v5', 'Standard_D2_v5', 'Standard_M32ts', 'Standard_D48ds_v5', 'Standard_E4ds_v4', 'Standard_E64is_v3', 'Standard_E32d_v5', 'Standard_F64s_v2', 'Standard_D13_v2', 'Standard_M192idms_v2', 'Standard_F2s_v2', 'Standard_D8_v5', 'Standard_D32s_v5', 'Standard_M8-4ms', 'Standard_E64ds_v4', 'Standard_D48_v4', 'Standard_D16_v3', 'Standard_E8-2s_v3', 'Standard_M64s_v2', 'Standard_D48_v5', 'Standard_A2_v2', 'Standard_D4d_v5', 'Standard_E64i_v3', 'Standard_E80ids_v4', 'Standard_D15i_v2', 'Standard_E20s_v4', 'Standard_D4s_v3', 'Standard_D64_v4', 'Standard_A2m_v2', 'Standard_D4ds_v4', 'Standard_E16-8ds_v4', 'Standard_D48_v3', 'Standard_DS1_v2', 'Standard_DS13-2_v2', 'Standard_E8-2ds_v4', 'Standard_F32s_v2', 'Standard_D64d_v4', 'Standard_E48d_v5', 'Standard_D1_v2', 'Standard_E64_v4', 'Standard_E80is_v4', 'Standard_E96d_v5', 'Standard_E16s_v4', 'Standard_E64-16ds_v4', 'Standard_D32-8s_v3', 'Standard_D64_v5', 'Standard_M192ids_v2', 'Standard_M128s', 'Standard_D2_v2', 'Standard_E4s_v3', 'Standard_E4-2ds_v4', 'Standard_E4d_v4', 'Standard_D8_v3', 'Standard_D4_v3', 'Standard_E48d_v4', 'Standard_F1s', 'Standard_E32_v5', 'Standard_DS5_v2', 'Standard_F2', 'Standard_D48d_v5', 'Standard_M64dms_v2', 'Standard_D2s_v5', 'Standard_D64s_v5', 'Standard_D48s_v5', 'Standard_M8-2ms', 'Standard_E8s_v3', 'Standard_E16_v4', 'Standard_NV24s_v3', 'Standard_M16s', 'Standard_D48s_v4', 'Standard_E64-32ds_v4', 'Standard_M32-8ms', 'Standard_M16-8ms', 'Standard_M16ms', 'Standard_DS4_v2', 'Standard_D64s_v4', 'Standard_E4-2s_v4', 'Standard_D8s_v5', 'Standard_E32d_v4', 'Standard_F72s_v2', 'Standard_D2ds_v5', 'Standard_M64ds_v2', 'Standard_E64-16s_v3', 'Standard_E16ds_v4', 'Standard_E2ds_v4', 'Standard_E32-16s_v3', 'Standard_D4s_v4', 'Standard_F4s_v2', 'Standard_E64_v3', 'Standard_E20d_v5', 'Standard_E32_v3', 'Standard_E16_v5', 'Standard_D16d_v4', 'Standard_M32ms_v2', 'Standard_M32ms', 'Standard_E2_v5', 'Standard_D2s_v4', 'Standard_A8m_v2', 'Standard_E32s_v3', 'Standard_E32-16ds_v4', 'Standard_DS13-4_v2', 'Standard_E64-32s_v4', 'Standard_F8s', 'Standard_F8', 'Standard_D2d_v5', 'Standard_D11_v2', 'Standard_M128ms_v2', 'Standard_D64-32s_v3', 'Standard_M128dms_v2', 'Standard_M128-32ms', 'Standard_E16-4s_v3', 'Standard_D2d_v4', 'Standard_DS15_v2', 'Standard_F16', 'Standard_M128-64ms', 'Standard_F1', 'Standard_E16-8s_v4', 'Standard_D8ds_v5', 'Standard_E96_v5', 'Standard_E16_v3', 'Standard_M192is_v2', 'Standard_M128s_v2', 'Standard_F16s_v2', 'Standard_E8d_v5', 'Standard_D48d_v4', 'Standard_M32-16ms', 'Standard_M192ims_v2', 'Standard_M8ms', 'Standard_DS13_v2', 'Standard_E4d_v5', 'Standard_D4s_v5', 'Standard_D32s_v3', 'Standard_DS12-1_v2', 'Standard_E20d_v4', 'Standard_D64ds_v4', 'Standard_D2s_v3', 'Standard_E64d_v5', 'Standard_D32d_v5', 'Standard_E64s_v3', 'Standard_D64d_v5', 'Standard_E8-4s_v4', 'Standard_M64ms_v2', 'Standard_M64-16ms', 'Standard_E2_v3', 'Standard_E16-8s_v3', 'Standard_M64ls', 'Standard_DS14-4_v2', 'Standard_M16-4ms', 'Standard_M32ls', 'Standard_E20_v4', 'Standard_D48ds_v4', 'Standard_D3_v2', 'Standard_DS15i_v2', 'Standard_E20ds_v4', 'Standard_D64s_v3', 'Standard_E20_v3', 'Standard_D8ds_v4', 'Standard_D8s_v3', 'Standard_M128', 'Standard_F48s_v2', 'Standard_D16s_v3', 'Standard_DS14_v2', 'Standard_D32_v3', 'Standard_E48ds_v4', 'Standard_E16-4s_v4', 'Standard_E8_v3', 'Standard_E32-16s_v4', 'Standard_D4ds_v5', 'Standard_E48s_v3', 'Standard_D32ds_v5', 'Standard_A4m_v2', 'Standard_E8d_v4', 'Standard_D32_v5', 'Standard_NV12s_v3', 'Standard_M128ms', 'Standard_M64', 'Standard_E64-32s_v3', 'Standard_D32ds_v4', 'Standard_E4_v5', 'Standard_M64-32ms', 'Standard_A4_v2', 'Standard_D5_v2', 'Standard_E32s_v4', 'Standard_E8ds_v4', 'Standard_E2s_v3', 'Standard_E4_v3', 'Standard_E48_v4', 'Standard_M32dms_v2', 'Standard_E20s_v3', 'Standard_DS2_v2', 'Standard_D96_v5', 'Standard_E8-2s_v4', 'Standard_D96s_v5', 'Standard_D2_v4', 'Standard_A1_v2', 'Standard_D2ds_v4', 'Standard_E8-4s_v3', 'Standard_D64-16s_v3', 'Standard_E20_v5', 'Standard_F4s', 'Standard_M32s', 'Standard_D16s_v4', 'Standard_DS11-1_v2', 'Standard_E16s_v3', 'Standard_E8s_v4', 'Standard_E2s_v4', 'Standard_D32s_v4', 'Standard_D64ds_v5', 'Standard_E16d_v4', 'Standard_M64s', 'Standard_M64ms', 'Standard_E8_v4', 'Standard_D16d_v5', 'Standard_D2_v3', 'Standard_D16_v5', 'Standard_D32_v4', 'Standard_E48_v3', 'Standard_D16_v4', 'Standard_E4-2s_v3', 'Standard_D16ds_v4', 'Standard_D8_v4', 'Standard_M128m', 'Standard_D4d_v4', 'Standard_E16-4ds_v4', 'Standard_F4', 'Standard_F2s', 'Standard_D4_v5', 'Standard_E8-4ds_v4', 'Standard_D8d_v5', 'Standard_DS12_v2', 'Standard_D32-16s_v3', 'Standard_F8s_v2', 'Standard_E16d_v5', 'Standard_F16s', 'Standard_D4_v4', 'Standard_E32-8s_v4', 'Standard_E32ds_v4', 'Standard_NV48s_v3', 'Standard_E32_v4', 'Standard_DS11_v2', 'Standard_A8_v2', 'Standard_D64_v3', 'Standard_D8s_v4', 'Standard_E2d_v4', 'Standard_D15_v2', 'Standard_D12_v2', 'Standard_D14_v2'],
'westus3': ['Standard_M416-208s_v2', 'Standard_E64-16s_v3', 'Standard_D4d_v4', 'Standard_E8-4s_v3', 'Standard_D32-16s_v3', 'Standard_M64-32ms', 'Standard_E4-2s_v3', 'Standard_D4', 'Standard_D16s_v5', 'Standard_D48_v4', 'Standard_D64s_v4', 'Standard_E48_v4', 'Standard_DS14', 'Standard_A2m_v2', 'Standard_D4_v3', 'Standard_E32s_v3', 'Standard_E64d_v4', 'Standard_DS5_v2', 'Standard_D32s_v4', 'Standard_F16s_v2', 'Standard_E64is_v3', 'Standard_F16s', 'Standard_D48d_v4', 'Standard_E4s_v4', 'Standard_M416-104s_v2', 'Standard_NC12s_v3', 'Standard_F64s_v2', 'Standard_D2s_v3', 'Standard_D14', 'Standard_D8ds_v4', 'Standard_DS1_v2', 'Standard_D32_v4', 'Standard_M128-32ms', 'Standard_DS13', 'Standard_E16-4ds_v4', 'Standard_D8_v3', 'Standard_F2s_v2', 'Standard_D48s_v3', 'Standard_D32d_v4', 'Standard_DS14-4_v2', 'Standard_D13', 'Standard_F4s', 'Standard_D1_v2', 'Standard_D64s_v5', 'Standard_DS15_v2', 'Standard_E8_v4', 'Standard_E32-16s_v4', 'Standard_E20_v4', 'Standard_E16ds_v4', 'Standard_NC6s_v3', 'Standard_A4m_v2', 'Standard_D64-32s_v3', 'Standard_DS12', 'Standard_M64-16ms', 'Standard_E48_v3', 'Standard_E32-8s_v3', 'Standard_D11', 'Standard_E2_v3', 'Standard_NC24s_v3', 'Standard_E16_v4', 'Standard_E2s_v3', 'Standard_F1s', 'Standard_DS4_v2', 'Standard_D16_v3', 'Standard_M208-104s_v2', 'Standard_F1', 'Standard_E64_v4', 'Standard_E8-4s_v4', 'Standard_E16s_v3', 'Standard_D4_v4', 'Standard_E64-16s_v4', 'Standard_D15i_v2', 'Standard_F32s_v2', 'Standard_D64s_v3', 'Standard_DS14_v2', 'Standard_M128', 'Standard_E64s_v3', 'Standard_E20d_v4', 'Standard_E4d_v4', 'Standard_D16ds_v4', 'Standard_E80ids_v4', 'Standard_M32ls', 'Standard_A1_v2', 'Standard_E8s_v3', 'Standard_F4s_v2', 'Standard_D32s_v5', 'Standard_M416is_v2', 'Standard_M32-16ms', 'Standard_A4_v2', 'Standard_D8_v4', 'Standard_DS11-1_v2', 'Standard_D4s_v3', 'Standard_E32-16s_v3', 'Standard_F4', 'Standard_M64s', 'Standard_E32_v3', 'Standard_D2', 'Standard_E64-32ds_v4', 'Standard_E64i_v3', 'Standard_D32ds_v4', 'Standard_E4_v3', 'Standard_D16d_v4', 'Standard_DS14-8_v2', 'Standard_A2_v2', 'Standard_D2s_v4', 'Standard_A8_v2', 'Standard_M128-64ms', 'Standard_E32s_v4', 'Standard_E20s_v4', 'Standard_F8s_v2', 'Standard_DS3', 'Standard_M208-52ms_v2', 'Standard_E32-16ds_v4', 'Standard_E20s_v3', 'Standard_E20_v3', 'Standard_ND96asr_A100_v4', 'Standard_NC24rs_v3', 'Standard_E80is_v4', 'Standard_E8d_v4', 'Standard_D3', 'Standard_M8-2ms', 'Standard_M208s_v2', 'Standard_DS13-2_v2', 'Standard_M128s', 'Standard_E16-4s_v3', 'Standard_D4s_v4', 'Standard_E16s_v4', 'Standard_E2_v4', 'Standard_D32-8s_v3', 'Standard_E64_v3', 'Standard_D15_v2', 'Standard_D2_v3', 'Standard_M208-52s_v2', 'Standard_E4s_v3', 'Standard_D2s_v5', 'Standard_D16s_v3', 'Standard_F72s_v2', 'Standard_D2d_v4', 'Standard_E4-2ds_v4', 'Standard_E4_v4', 'Standard_D48s_v5', 'Standard_F8', 'Standard_M64ls', 'Standard_DS2_v2', 'Standard_DS1', 'Standard_D2ds_v4', 'Standard_M128ms', 'Standard_M208-104ms_v2', 'Standard_D32s_v3', 'Standard_D16s_v4', 'Standard_D16_v4', 'Standard_E64s_v4', 'Standard_E48ds_v4', 'Standard_M16-4ms', 'Standard_E32-8ds_v4', 'Standard_E4-2s_v4', 'Standard_E2ds_v4', 'Standard_D1', 'Standard_D4_v2', 'Standard_E8-2s_v3', 'Standard_E8s_v4', 'Standard_D4s_v5', 'Standard_M16-8ms', 'Standard_D48ds_v4', 'Standard_M16s', 'Standard_D64d_v4', 'Standard_E16-8s_v4', 'Standard_D5_v2', 'Standard_DS2', 'Standard_D11_v2', 'Standard_A8m_v2', 'Standard_D96s_v5', 'Standard_M32ts', 'Standard_DS4', 'Standard_M416-208ms_v2', 'Standard_E8-2ds_v4', 'Standard_DS11_v2', 'Standard_E64-16ds_v4', 'Standard_E8-2s_v4', 'Standard_E32_v4', 'Standard_DS13_v2', 'Standard_M32ms', 'Standard_DS13-4_v2', 'Standard_D64ds_v4', 'Standard_E32-8s_v4', 'Standard_D48_v3', 'Standard_DS15i_v2', 'Standard_M8-4ms', 'Standard_E8ds_v4', 'Standard_DS12_v2', 'Standard_D4ds_v4', 'Standard_E64-32s_v3', 'Standard_D8s_v4', 'Standard_F8s', 'Standard_F2s', 'Standard_D32_v3', 'Standard_E16-8s_v3', 'Standard_D12', 'Standard_M416-104ms_v2', 'Standard_M416s_v2', 'Standard_D3_v2', 'Standard_E16_v3', 'Standard_E4ds_v4', 'Standard_M416ms_v2', 'Standard_E48s_v3', 'Standard_E2d_v4', 'Standard_M64ms', 'Standard_M8ms', 'Standard_E48s_v4', 'Standard_DS11', 'Standard_DS3_v2', 'Standard_E2s_v4', 'Standard_DS12-1_v2', 'Standard_E8-4ds_v4', 'Standard_F2', 'Standard_D8s_v5', 'Standard_E8_v3', 'Standard_D2_v2', 'Standard_E16-4s_v4', 'Standard_D48s_v4', 'Standard_E64ds_v4', 'Standard_D12_v2', 'Standard_D2_v4', 'Standard_M208ms_v2', 'Standard_D64_v4', 'Standard_E32d_v4', 'Standard_F48s_v2', 'Standard_M32-8ms', 'Standard_M32s', 'Standard_M16ms', 'Standard_D13_v2', 'Standard_E20ds_v4', 'Standard_E16-8ds_v4', 'Standard_M64m', 'Standard_D8s_v3', 'Standard_F16', 'Standard_M64', 'Standard_D64-16s_v3', 'Standard_E32ds_v4', 'Standard_D64_v3', 'Standard_DS12-2_v2', 'Standard_E48d_v4', 'Standard_E16d_v4', 'Standard_E64-32s_v4', 'Standard_D8d_v4', 'Standard_D14_v2', 'Standard_M128m'],
'australiacentral2': ['Standard_M416-104s_v2', 'Standard_M128ms', 'Standard_D4s_v4', 'Standard_F1s', 'Standard_E4-2s_v4', 'Standard_E32_v3', 'Standard_A4m_v2', 'Standard_D2s_v3', 'Standard_D8ds_v5', 'Standard_E64-32s_v4', 'Standard_E32-16s_v4', 'Standard_M128-64ms', 'Standard_E4_v4', 'Standard_M64s', 'Standard_D16_v4', 'Standard_D2d_v4', 'Standard_E32-8s_v4', 'Standard_E16-4ds_v4', 'Standard_D8d_v4', 'Standard_DS12-2_v2', 'Standard_E20_v3', 'Standard_D4ds_v4', 'Standard_F48s_v2', 'Standard_F16', 'Standard_F16s', 'Standard_DS14-8_v2', 'Standard_D2_v4', 'Standard_A5', 'Standard_M128', 'Standard_M128-32ms', 'Standard_E48d_v4', 'Standard_F8s_v2', 'Standard_M32s', 'Standard_A8m_v2', 'Standard_E16_v5', 'Standard_D11_v2', 'Standard_D64d_v4', 'Standard_D2ds_v4', 'Standard_D48ds_v5', 'Standard_A1', 'Standard_D14_v2', 'Standard_D8_v5', 'Standard_E2d_v5', 'Standard_D32_v5', 'Standard_D2s_v4', 'Standard_M64ms', 'Standard_E8-4ds_v4', 'Standard_M16ms', 'Standard_E8d_v4', 'Standard_E8-4s_v3', 'Standard_D32-16s_v3', 'Standard_D48ds_v4', 'Standard_E32d_v4', 'Standard_E8ds_v4', 'Standard_E16s_v3', 'Standard_D1_v2', 'Standard_E64_v5', 'Standard_M8-4ms', 'Standard_M208-52ms_v2', 'Standard_D96ds_v5', 'Standard_E48_v3', 'Standard_F72s_v2', 'Standard_E2ds_v4', 'Standard_E2_v4', 'Standard_D4_v5', 'Standard_E48ds_v4', 'Standard_D64d_v5', 'Standard_E32-8s_v3', 'Standard_E32_v5', 'Standard_D64_v4', 'Standard_D15_v2', 'Standard_D4s_v5', 'Standard_E32s_v3', 'Basic_A1', 'Standard_D48d_v5', 'Standard_E64d_v4', 'Standard_A2m_v2', 'Standard_M208-104ms_v2', 'Standard_F4s', 'Standard_D8_v3', 'Standard_E16_v3', 'Standard_DS11-1_v2', 'Standard_DS15i_v2', 'Standard_D4ds_v5', 'Standard_E64s_v4', 'Standard_D16ds_v4', 'Standard_E48_v4', 'Standard_E16-4s_v3', 'Standard_D16d_v4', 'Standard_E64_v3', 'Standard_D4_v4', 'Standard_A8_v2', 'Standard_E8s_v3', 'Standard_DS11_v2', 'Standard_D8s_v3', 'Standard_D4_v3', 'Standard_M416s_v2', 'Standard_E20s_v4', 'Standard_D2_v5', 'Standard_D64ds_v5', 'Standard_D16s_v4', 'Standard_D32-8s_v3', 'Standard_F32s_v2', 'Standard_E32s_v4', 'Standard_E4_v3', 'Standard_E4ds_v4', 'Standard_D4_v2', 'Standard_F4s_v2', 'Standard_DS4_v2', 'Standard_A3', 'Standard_D64_v3', 'Standard_M32ls', 'Standard_E2s_v4', 'Standard_D13_v2', 'Standard_D32d_v5', 'Standard_M416ms_v2', 'Standard_DS14-4_v2', 'Standard_E32_v4', 'Standard_A0', 'Standard_E2d_v4', 'Standard_D2s_v5', 'Standard_D8d_v5', 'Standard_E20ds_v4', 'Standard_A2', 'Standard_DS1_v2', 'Standard_M64-32ms', 'Standard_E96d_v5', 'Standard_E16-4s_v4', 'Standard_M8ms', 'Standard_D64-32s_v3', 'Standard_D48_v4', 'Standard_E64-32s_v3', 'Standard_D64-16s_v3', 'Standard_M32-16ms', 'Standard_DS13_v2', '', 'Standard_M32ts', 'Standard_D64s_v4', 'Standard_D4d_v4', 'Standard_E4s_v4', 'Standard_DS13-4_v2', 'Standard_M64ls', 'Standard_E16-8s_v3', 'Standard_D2_v3', 'Standard_F8s', 'Standard_D48d_v4', 'Standard_D5_v2', 'Standard_D3_v2', 'Standard_D48s_v5', 'Standard_E4-2ds_v4', 'Standard_F64s_v2', 'Standard_E64-32ds_v4', 'Standard_M32ms', 'Standard_M32-8ms', 'Standard_D2_v2', 'Standard_D15i_v2', 'Standard_D64s_v5', 'Standard_E48_v5', 'Standard_E80is_v4', 'Standard_E8-2s_v4', 'Standard_DS14_v2', 'Standard_E96_v5', 'Standard_E48s_v3', 'Standard_M208ms_v2', 'Standard_E20_v4', 'Standard_D48s_v3', 'Standard_E20d_v4', 'Standard_D8s_v5', 'Standard_E2_v5', 'Standard_DS5_v2', 'Standard_E48s_v4', 'Standard_E2s_v3', 'Standard_D48_v5', 'Standard_D96d_v5', 'Standard_E4-2s_v3', 'Standard_D12_v2', 'Standard_E8_v4', 'Standard_M416-208s_v2', 'Standard_M8-2ms', 'Standard_E16ds_v4', 'Standard_E8_v5', 'Standard_M64m', 'Standard_E16d_v5', 'Standard_DS2_v2', 'Standard_D16ds_v5', 'Standard_A2_v2', 'Standard_E8-2s_v3', 'Standard_D48_v3', 'Standard_E64s_v3', 'Standard_A4_v2', 'Standard_D32_v4', 'Standard_E48d_v5', 'Standard_D32s_v3', 'Standard_D64ds_v4', 'Standard_E4d_v5', 'Standard_M128s', 'Standard_F2s', 'Standard_E16_v4', 'Standard_D64s_v3', 'Standard_DS12_v2', 'Standard_D96s_v5', 'Standard_D8s_v4', 'Standard_E16-8ds_v4', 'Standard_E64-16s_v3', 'Standard_E16d_v4', 'Standard_F1', 'Standard_DS3_v2', 'Standard_DS13-2_v2', 'Standard_D4s_v3', 'Standard_D32ds_v5', 'Standard_E8d_v5', 'Standard_M208s_v2', 'Standard_E32ds_v4', 'Standard_E64d_v5', 'Standard_F8', 'Standard_DS12-1_v2', 'Basic_A2', 'Basic_A4', 'Standard_E8-2ds_v4', 'Standard_D16d_v5', 'Standard_M416-104ms_v2', 'Standard_E8s_v4', 'Basic_A0', 'Standard_M208-104s_v2', 'Standard_E32-16s_v3', 'Standard_E64-16s_v4', 'Standard_A1_v2', 'Standard_M16-4ms', 'Standard_D2ds_v5', 'Standard_E64_v4', 'Standard_F2s_v2', 'Standard_M64', 'Standard_M16s', 'Standard_F2', 'Standard_E32-8ds_v4', 'Standard_D2d_v5', 'Standard_D96_v5', 'Standard_E16-8s_v4', 'Standard_A4', 'Standard_E20d_v5', 'Standard_M16-8ms', 'Standard_E8_v3', 'Standard_E64-16ds_v4', 'Standard_E2_v3', 'Standard_D16_v5', 'Standard_D48s_v4', 'Standard_E16s_v4', 'Standard_D16_v3', 'Standard_D16s_v5', 'Standard_D32s_v4', 'Standard_M64-16ms', 'Standard_A7', 'Standard_D32ds_v4', 'Standard_E4d_v4', 'Standard_D8_v4', 'Standard_M208-52s_v2', 'Standard_M128m', 'Standard_F16s_v2', 'Standard_A6', 'Standard_E32-16ds_v4', 'Standard_E32d_v5', 'Standard_D32_v3', 'Standard_M416is_v2', 'Standard_D16s_v3', 'Standard_E20_v5', 'Standard_D32s_v5', 'Standard_D8ds_v4', 'Standard_DS15_v2', 'Basic_A3', 'Standard_D64_v5', 'Standard_E64ds_v4', 'Standard_F4', 'Standard_E80ids_v4', 'Standard_E20s_v3', 'Standard_E8-4s_v4', 'Standard_E4_v5', 'Standard_E4s_v3', 'Standard_M416-208ms_v2', 'Standard_D32d_v4', 'Standard_D4d_v5']
}
region_codes = [
'eastus',
'westus',
'japaneast',
'southindia',
'centralindia',
'ukwest',
'germanywestcentral',
'eastasia',
'brazilsouth',
'canadacentral',
'australiaeast',
'australiacentral'
]
sizes = [
"Standard_D2s_v3", # 4 vCPU, 32 Gb Ram
"Standard_A8_v2", # 8 vCPU, 16 Gb Ram
"Standard_NC8as_T4_v3", # 8 56 GiB"
"Standard_NV6s_v2",
"Standard_H8m",
"Standard_D4a_v4", # 4 16 GiB 100 GiB
"Standard_D8a_v4", # 8 32 GiB 200 GiB
"Standard_D4as_v4", # 4 16 GiB 32 GiB
"Standard_D8as_v4", # 8 32 GiB 64 GiB
"Standard_D8ds_v5", # 8 32 GiB 300 GiB
"Standard_D2_v3", # 2 8 GiB 50 GiB
"Standard_D4_v3", # 4 16 GiB 100 GiB
"Standard_D8_v3", # 8 32 GiB 200 GiB
"Standard_DS3_v2", # 4 14 GiB 28 GiB
"Standard_F4s_v2", # 4 8 GiB 32 GiB
"Standard_F8s_v2", # 8 16 GiB 64 GiB
"Standard_F4", # 4 8 GiB 64 GiB
"Standard_F8", # 8 16 GiB 128 GiB
"Standard_E4ds_v5", # 4 32 GiB 150 GiB
"Standard_E8ds_v5", # 8 64 GiB 300 GiB
"Standard_E2s_v3", # 2 16 GiB 32 GiB
"Standard_E4s_v3", # 4 32 GiB 64 GiB
"Standard_E8s_v3", # 8 64 GiB 128 GiB
"Standard_NC6s_v3", # 6 56 GiB 340 GiB
"Standard_NC12s_v3", # 12 112 GiB 680 GiB
"Standard_NC4as_T4_v3", # 4 28 GiB 180 GiB"
"Standard_NV12s_v2",
"Standard_H8",
"Standard_H16"
]
resource_names = [resource_prefix + location for location in region_codes]
| 2,424.887755
| 8,832
| 0.783642
| 36,119
| 237,639
| 4.554057
| 0.011102
| 0.224029
| 0.010986
| 0.005107
| 0.849241
| 0.380575
| 0.154868
| 0.068497
| 0.013095
| 0.00259
| 0
| 0.148763
| 0.053968
| 237,639
| 98
| 8,833
| 2,424.887755
| 0.5829
| 0.001953
| 0
| 0
| 0
| 0
| 0.792533
| 0.022732
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
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| null | 0
| 0
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| 0
| 0
|
0
| 5
|
bf3866ddc85e7f86c0fd67e88f22e67c934b181e
| 46,444
|
py
|
Python
|
cifar_net_search/syclop_cifar_lstm_no_upsample.py
|
sashkarivkind/imagewalker
|
999e1ae78cfe1512e1be894d9e7891a7d0c41233
|
[
"Apache-2.0"
] | 2
|
2021-04-28T13:33:45.000Z
|
2021-11-09T14:31:09.000Z
|
cifar_net_search/syclop_cifar_lstm_no_upsample.py
|
sashkarivkind/imagewalker
|
999e1ae78cfe1512e1be894d9e7891a7d0c41233
|
[
"Apache-2.0"
] | null | null | null |
cifar_net_search/syclop_cifar_lstm_no_upsample.py
|
sashkarivkind/imagewalker
|
999e1ae78cfe1512e1be894d9e7891a7d0c41233
|
[
"Apache-2.0"
] | 1
|
2021-03-07T13:25:59.000Z
|
2021-03-07T13:25:59.000Z
|
'''
The follwing code runs a test lstm network on the CIFAR dataset
I will explicitly write the networks here for ease of understanding
with cnn_sropout = 0.4 and rnn dropout = 0.2 and lr = 1e-3 res = 8
################# cnn_lstm_True Validation Accuracy = [0.363, 0.4258, 0.4332, 0.4142, 0.4802, 0.4838, 0.4988, 0.4694, 0.5018, 0.5072, 0.5216, 0.5204, 0.5282, 0.5354, 0.5392, 0.541, 0.5372, 0.5496, 0.5488, 0.5458, 0.5514, 0.5464, 0.5598, 0.5612, 0.549, 0.561, 0.562, 0.5608, 0.572, 0.5562]
################# cnn_lstm_True Training Accuracy = [0.2576222, 0.37971112, 0.41331112, 0.43568888, 0.45224443, 0.46142223, 0.4724, 0.48204446, 0.4924889, 0.49795556, 0.5046667, 0.50751114, 0.5161778, 0.5168, 0.5233778, 0.52584445, 0.53113335, 0.5362, 0.5368, 0.5395333, 0.5430667, 0.5438667, 0.54568887, 0.54833335, 0.5525111, 0.5526, 0.55462223, 0.5564889, 0.55682224, 0.5594]
with cnn_sropout = 0.4 and rnn dropout = 0.2 and lr = 1e-3 res = 16
################# extended_cnn_one_img Validation Accuracy = [0.4394, 0.481, 0.529, 0.5436, 0.5632, 0.5732, 0.5672, 0.5796, 0.5934, 0.6008, 0.5946, 0.5978, 0.6074, 0.6104, 0.6134, 0.6156, 0.6122, 0.6168, 0.6064, 0.6142, 0.6182, 0.6208, 0.6314, 0.6186, 0.614, 0.6234, 0.6166, 0.621, 0.6124, 0.6086]
################# extended_cnn_one_img Training Accuracy = [0.28697777, 0.42, 0.46337777, 0.49582222, 0.52477777, 0.54244447, 0.5523111, 0.56891114, 0.58144444, 0.5856, 0.5954667, 0.60253334, 0.60866666, 0.61322224, 0.62204444, 0.6220889, 0.627, 0.6315778, 0.63177776, 0.63802224, 0.63993335, 0.64397776, 0.6459778, 0.6482889, 0.65115553, 0.64971113, 0.653, 0.65335554, 0.65393335, 0.6591778]
################# cnn_convlstm_True Validation Accuracy = [0.4204, 0.4466, 0.5022, 0.5348, 0.5416, 0.542, 0.5822, 0.5834, 0.5962, 0.6112, 0.6086, 0.6198, 0.611, 0.6158, 0.6174, 0.6324, 0.6374, 0.6374, 0.6318, 0.639, 0.643, 0.6486, 0.6452, 0.6456, 0.6456, 0.644, 0.6628, 0.6512, 0.6426, 0.6474]
################# cnn_convlstm_True Training Accuracy = [0.28697777, 0.42, 0.46337777, 0.49582222, 0.52477777, 0.54244447, 0.5523111, 0.56891114, 0.58144444, 0.5856, 0.5954667, 0.60253334, 0.60866666, 0.61322224, 0.62204444, 0.6220889, 0.627, 0.6315778, 0.63177776, 0.63802224, 0.63993335, 0.64397776, 0.6459778, 0.6482889, 0.65115553, 0.64971113, 0.653, 0.65335554, 0.65393335, 0.6591778]
with cnn_sropout = 0.4 and rnn dropout = 0.2 and lr = 5e-4 res = 8 out.813114
################# cnn_lstm_True Validation Accuracy = [0.3308, 0.3894, 0.4208, 0.4178, 0.4472, 0.4612, 0.4562, 0.4678, 0.4576, 0.4804, 0.4888, 0.4942, 0.504, 0.5104, 0.5124, 0.4714, 0.
5052, 0.5128, 0.5178, 0.5214, 0.5184, 0.5234, 0.5138, 0.5288, 0.534, 0.5274, 0.5338, 0.5252, 0.5196, 0.5238, 0.533, 0.5228, 0.5294, 0.541, 0.5432, 0.5308, 0.5396, 0.5438, 0.5548, 0.5496, 0.5416, 0.5376, 0.5434, 0.5482, 0.5476, 0.544, 0.5478, 0.5488, 0.5316, 0.541, 0.5458, 0.5502, 0.5538, 0.545, 0.5434, 0.5446, 0.5262, 0.565, 0.5524, 0.547, 0.558, 0.5534, 0.5504, 0.5572, 0.558, 0.5518, 0.5628, 0.5458, 0.5492, 0.554, 0.5502, 0.5662, 0.5554, 0.5544, 0.556, 0.5614, 0.556, 0.5494, 0.5626, 0.553, 0.5548, 0.5552, 0.5594, 0.5624, 0.5602, 0.5586, 0.5626, 0.5552, 0.5556, 0.5568, 0.5614, 0.5646, 0.5588, 0.5546, 0.5672, 0.5686, 0.5654, 0.5696, 0.561, 0.5594]
################# cnn_lstm_True Training Accuracy = [0.24964444, 0.35444444, 0.39055556, 0.40411112, 0.42033333, 0.4307778, 0.4413778, 0.4502, 0.45922223, 0.4670222, 0.47257778, 0.47993332, 0.48346666, 0.48924443, 0.49424446, 0.49951112, 0.50535554, 0.507, 0.5122667, 0.51573336, 0.5187111, 0.52257776, 0.52484447, 0.52666664, 0.5283333, 0.5331333, 0.5357556, 0.5382222, 0.5380667, 0.54113334, 0.5438667, 0.5438222, 0.54602224, 0.5493778, 0.55248886, 0.55455554, 0.5526, 0.55502224, 0.5570222, 0.557, 0.5587556, 0.5602889, 0.56182224, 0.5638667, 0.5647111, 0.5691778, 0.5662889, 0.5692222, 0.56711113, 0.57075554, 0.5707333, 0.57548887, 0.5728667, 0.57446665, 0.5751778, 0.57706666, 0.5799556, 0.5784444, 0.5833333, 0.583, 0.58104444, 0.58404446, 0.58264446, 0.5810222, 0.5852444, 0.5855778, 0.5874, 0.5886889, 0.5931111, 0.5919333, 0.59191114, 0.5890222, 0.59022224, 0.59191114, 0.58986664, 0.5920445, 0.5929111, 0.5968222, 0.5930667, 0.59926665, 0.59415555, 0.5968889, 0.5962222, 0.59933335, 0.5995778, 0.5975111, 0.6013333, 0.6011111, 0.6008667, 0.60124445, 0.6018889, 0.60388887, 0.6032, 0.6028889, 0.60502225, 0.6044667, 0.60304445, 0.60517776, 0.6042445, 0.6062667]
with cnn_sropout = 0.2 and rnn dropout = 0.2 and lr = 5e-4 res = 8 out.812846
################# extended_cnn_one_img Validation Accuracy = [0.3528, 0.3696, 0.3942, 0.4074, 0.4162, 0.4102, 0.4304, 0.4336, 0.4502, 0.4432, 0.4534, 0.458, 0.4572, 0.4596, 0.453, 0.45
36, 0.468, 0.472, 0.47, 0.4638, 0.475, 0.4618, 0.466, 0.473, 0.4718, 0.4648, 0.467, 0.4684, 0.4666, 0.4708, 0.4746, 0.4752, 0.4722, 0.4814, 0.4782, 0.4836, 0.4778, 0.4712, 0.4828, 0.471
6, 0.481, 0.4762, 0.475, 0.4746, 0.4784, 0.479, 0.4806, 0.4776, 0.4786, 0.4798, 0.478, 0.4786, 0.4814, 0.4792, 0.4728, 0.4764, 0.471, 0.475, 0.467, 0.4794, 0.4802, 0.4814, 0.4766, 0.471
2, 0.4782, 0.4822, 0.4746, 0.473, 0.4758, 0.4748, 0.4726, 0.4756, 0.4758, 0.4782, 0.4786, 0.4714, 0.4752, 0.4752, 0.4728, 0.4814, 0.478, 0.4746, 0.4704, 0.481, 0.4728, 0.4734, 0.4778, 0
.4764, 0.4746, 0.4814, 0.4754, 0.4804, 0.4776, 0.4736, 0.4716, 0.475, 0.4754, 0.481, 0.4862, 0.4714]
################# extended_cnn_one_img Training Accuracy = [0.2808, 0.39051113, 0.4234, 0.44626668, 0.4642, 0.47853333, 0.4906889, 0.50313336, 0.5134889, 0.52297777, 0.5306, 0.53653336
, 0.5456, 0.5512222, 0.5568, 0.56384444, 0.5692667, 0.5714667, 0.5779333, 0.5827778, 0.58984447, 0.5953778, 0.5967111, 0.60213333, 0.6068222, 0.61006665, 0.6106222, 0.6146, 0.6157111, 0
.61895555, 0.6228, 0.6257778, 0.625, 0.62846667, 0.63384444, 0.6364889, 0.63751113, 0.6385111, 0.64015555, 0.64522225, 0.6471111, 0.6487333, 0.6544222, 0.6525111, 0.6541778, 0.6599778,
0.6571111, 0.6606445, 0.6649778, 0.66595554, 0.66293335, 0.6677333, 0.67242223, 0.6685778, 0.67415553, 0.67284447, 0.67606664, 0.67822224, 0.6788889, 0.68075556, 0.68237776, 0.6800889,
0.68597776, 0.6885333, 0.6876444, 0.6862889, 0.6900667, 0.6915111, 0.6921333, 0.69166666, 0.6956667, 0.6958445, 0.69706666, 0.6955111, 0.6986, 0.70177776, 0.7012889, 0.70471114, 0.70537
776, 0.70317775, 0.7037778, 0.70611113, 0.7081556, 0.70717776, 0.71, 0.7101111, 0.71122223, 0.7131778, 0.7135556, 0.7114889, 0.7172889, 0.71206665, 0.7187333, 0.7174889, 0.7177333, 0.72
12667, 0.72146666, 0.71922225, 0.7218222, 0.7225556]
################# cnn_lstm_True Validation Accuracy = [0.3562, 0.4108, 0.4418, 0.468, 0.48, 0.4946, 0.4864, 0.5004, 0.5002, 0.521, 0.5286, 0.5346, 0.5376, 0.5412, 0.55, 0.5554, 0.5374,
0.5576, 0.571, 0.5506, 0.5658, 0.575, 0.5744, 0.5736, 0.5734, 0.5796, 0.573, 0.5888, 0.5766, 0.5766, 0.5814, 0.5784, 0.5756, 0.5816, 0.5844, 0.5826, 0.5878, 0.583, 0.5914, 0.5846, 0.5868, 0.5764, 0.5888, 0.5938, 0.5884, 0.5892, 0.5814, 0.5946, 0.5846, 0.5918, 0.5902, 0.5908, 0.5862, 0.5914, 0.5934, 0.5904, 0.591, 0.5996, 0.5876, 0.5954, 0.5924, 0.5976, 0.5858, 0.5944, 0.5912, 0.588, 0.594, 0.5902, 0.5898, 0.5882, 0.5852, 0.5844, 0.5862, 0.5878, 0.5884, 0.5972, 0.5944, 0.5882, 0.5828, 0.5908, 0.589, 0.5916, 0.5966, 0.593, 0.5802, 0.5934, 0.5908, 0.5952, 0.587, 0.5858, 0.5918, 0.591, 0.5912, 0.589, 0.5882, 0.5906, 0.5878, 0.588, 0.5894, 0.5916]
################# cnn_lstm_True Training Accuracy = [0.2808, 0.39051113, 0.4234, 0.44626668, 0.4642, 0.47853333, 0.4906889, 0.50313336, 0.5134889, 0.52297777, 0.5306, 0.53653336, 0.5456, 0.5512222, 0.5568, 0.56384444, 0.5692667, 0.5714667, 0.5779333, 0.5827778, 0.58984447, 0.5953778, 0.5967111, 0.60213333, 0.6068222, 0.61006665, 0.6106222, 0.6146, 0.6157111, 0.61895555, 0.6228, 0.6257778, 0.625, 0.62846667, 0.63384444, 0.6364889, 0.63751113, 0.6385111, 0.64015555, 0.64522225, 0.6471111, 0.6487333, 0.6544222, 0.6525111, 0.6541778, 0.6599778, 0.6571111, 0.6606445, 0.6649778, 0.66595554, 0.66293335, 0.6677333, 0.67242223, 0.6685778, 0.67415553, 0.67284447, 0.67606664, 0.67822224, 0.6788889, 0.68075556, 0.68237776, 0.6800889, 0.68597776, 0.6885333, 0.6876444, 0.6862889, 0.6900667, 0.6915111, 0.6921333, 0.69166666, 0.6956667, 0.6958445, 0.69706666, 0.6955111, 0.6986, 0.70177776, 0.7012889, 0.70471114, 0.70537776, 0.70317775, 0.7037778, 0.70611113, 0.7081556, 0.70717776, 0.71, 0.7101111, 0.71122223, 0.7131778, 0.7135556, 0.7114889, 0.7172889, 0.71206665, 0.7187333, 0.7174889, 0.7177333, 0.7212667, 0.72146666, 0.71922225, 0.7218222, 0.7225556]
with cnn_sropout = 0.4 and rnn dropout = 0.2 and lr = 5e-4 with res = 8 and 500 epochs out.813765
################# extended_cnn_one_img Training Accuracy = [0.24584444, 0.35053334, 0.38793334, 0.40875554, 0.4229111, 0.4331111, 0.44337776, 0.44886667, 0.45893332, 0.46524444, 0.47291112, 0.47626665, 0.4856889, 0.48975554, 0.4916, 0.4988, 0.5033111, 0.5056889, 0.5113556, 0.5152444, 0.5168222, 0.5198889, 0.5234889, 0.52444446, 0.5282889, 0.5336889, 0.53297776, 0.5376889, 0.54246664, 0.53664446, 0.5434, 0.5458, 0.5467333, 0.5486444, 0.5535111, 0.5506222, 0.5524667, 0.55295557, 0.55697775, 0.5574667, 0.5597111, 0.5593111, 0.56273335, 0.56615555, 0.56457776, 0.5658889, 0.56504446, 0.56744444, 0.5668667, 0.5719111, 0.56886667, 0.57093334, 0.5731556, 0.5764889, 0.5733111, 0.5746889, 0.5784889, 0.57868886, 0.5796667, 0.57868886, 0.58095556, 0.5823333, 0.5834444, 0.58566666, 0.5847778, 0.5849111, 0.58408886, 0.5852889, 0.58735555, 0.58813334, 0.58802223, 0.5897111, 0.5891778, 0.59106666, 0.58977777, 0.59164447, 0.5935778, 0.59155554, 0.5924444, 0.5958, 0.5974889, 0.5984222, 0.59635556, 0.59797776, 0.5967111, 0.59882224, 0.59864444, 0.59995556, 0.59793335, 0.6014, 0.5981111, 0.60044444, 0.60055554, 0.60208887, 0.6009778, 0.60113335, 0.6046, 0.6018889, 0.60624444, 0.6012, 0.60373336, 0.6020667, 0.60388887, 0.60364443, 0.60344446, 0.60855556, 0.6080667, 0.6056, 0.6059333, 0.61097777, 0.6092, 0.6079778, 0.6118444, 0.6070667, 0.6104, 0.60895556, 0.6101556, 0.6104444, 0.61002225, 0.6122, 0.6102222, 0.6121778, 0.61095554, 0.6102667, 0.61075556, 0.61311114, 0.6121778, 0.6160667, 0.61502224, 0.61444443, 0.61435556, 0.61344445, 0.61355555, 0.6150444, 0.6168444, 0.6152889, 0.6140444, 0.6184222, 0.61513335, 0.6177111, 0.61388886, 0.61653334, 0.61455554, 0.61595553, 0.62053335, 0.61826664, 0.6192667, 0.62093335, 0.6173556, 0.61895555, 0.61726665, 0.6194222, 0.6232, 0.62115556, 0.6197111, 0.62035555, 0.61844444, 0.62042224, 0.618, 0.6223556, 0.61902225, 0.62288886, 0.6220222, 0.6221778, 0.6239111, 0.6190889, 0.6250889, 0.6246, 0.6218, 0.62484443, 0.6250889, 0.6202889, 0.6244889, 0.62333333, 0.62457776, 0.6242, 0.6236, 0.6252, 0.6274667, 0.6245555, 0.6241111, 0.6262, 0.6253778, 0.6244444, 0.6254, 0.6255556, 0.6254, 0.62355554, 0.62986666, 0.6236445, 0.6255556, 0.62682223, 0.6252222, 0.6265778, 0.62684447, 0.62684447, 0.6264667, 0.6289333, 0.63042223, 0.62946665, 0.62873334, 0.6296889, 0.6269111, 0.6298222, 0.62975556, 0.6280889, 0.6296667, 0.6295556, 0.62873334, 0.6278222, 0.6266222, 0.6314222, 0.63211113, 0.62813336, 0.6260667, 0.6296889, 0.6291111, 0.63251114, 0.62813336, 0.63071114, 0.62946665, 0.6320889, 0.62913334, 0.63177776, 0.6306667, 0.63008887, 0.6332222, 0.6346, 0.63104445, 0.6309111, 0.6326, 0.6289333, 0.6310667, 0.6288889, 0.6339333, 0.63155556, 0.6330889, 0.6311111, 0.634, 0.63233334, 0.6316222, 0.63533336, 0.6349556, 0.63482225, 0.63224447, 0.6336667, 0.6331556, 0.6326, 0.63533336, 0.63024443, 0.6355778, 0.6332222, 0.6337111, 0.6360889, 0.6368222, 0.6360889, 0.6338222, 0.6360222, 0.63537776, 0.6355111, 0.6344444, 0.63255554, 0.634, 0.6377778, 0.6331111, 0.63493335, 0.63935554, 0.63553333, 0.63537776, 0.6352889, 0.63637775, 0.6369111, 0.6370889, 0.6368, 0.6359556, 0.6358889, 0.6383111, 0.6369111, 0.6352889, 0.6394445, 0.6378667, 0.63688886, 0.6374889, 0.6386222, 0.63902223, 0.6359556, 0.6384889, 0.63893336, 0.63897777, 0.6379111, 0.63611114, 0.6355778, 0.6419778, 0.6392, 0.6389111, 0.6415333, 0.63953334, 0.63868886, 0.6379111, 0.63913333, 0.63766664, 0.6381556, 0.6368222, 0.6410667, 0.6410667, 0.6398444, 0.63795555, 0.63913333, 0.6403111, 0.6416, 0.6383333, 0.63766664, 0.63964444, 0.64206666, 0.6381556, 0.63857776, 0.6432, 0.6412, 0.64064443, 0.63824445, 0.63766664, 0.6410889, 0.63915557, 0.64075553, 0.6404667, 0.64093333, 0.64284444, 0.6405111, 0.63835555, 0.6406, 0.6419111, 0.6398, 0.64115554, 0.6413556, 0.6391111, 0.64213336, 0.64104444, 0.64022225, 0.6409111, 0.64262223, 0.6416444, 0.6382, 0.6426889, 0.64284444, 0.64493334, 0.63913333, 0.6441111, 0.6398, 0.6419111, 0.6436, 0.6432, 0.63942224, 0.64055556, 0.6418889, 0.6424222, 0.63997775, 0.6433111, 0.644, 0.64306664, 0.6451333, 0.6403555, 0.6419111, 0.64273334, 0.6437111, 0.6440667, 0.6418667, 0.6412889, 0.6440667, 0.6432, 0.64526665, 0.64357775, 0.64475554, 0.6430445, 0.64426666, 0.6438444, 0.6436889, 0.6428, 0.64213336, 0.641, 0.64446664, 0.6433778, 0.6418, 0.6429333, 0.6446667, 0.6440667, 0.6464, 0.6455111, 0.6448889, 0.6445111, 0.644, 0.6441778, 0.6432222, 0.6438, 0.64408886, 0.64713335, 0.6451111, 0.6422222, 0.64706665, 0.6412889, 0.64408886, 0.6448445, 0.6454222, 0.6473333, 0.6446, 0.6433778, 0.6444889, 0.6439111, 0.64522225, 0.6419111, 0.6449111, 0.64486665, 0.6442889, 0.6469778, 0.6426889, 0.6433333, 0.6464222, 0.6457555, 0.6475111, 0.6465333, 0.64537776, 0.6464, 0.6455778, 0.6430445, 0.64566666, 0.6456889, 0.6478, 0.6455333, 0.64435554, 0.64713335, 0.647, 0.64662224, 0.6469778, 0.6496222, 0.6471556, 0.6464667, 0.64364445, 0.64504445, 0.6447778, 0.6450222, 0.64857775, 0.64626664, 0.6459778, 0.64437777, 0.6447333, 0.6483333, 0.64633334, 0.64768887, 0.64606667, 0.6450667, 0.6474, 0.6499111, 0.6482, 0.6452, 0.64455557, 0.64555556, 0.6479333, 0.64588886, 0.645, 0.64797777, 0.64615554, 0.6454, 0.64804447, 0.647, 0.6514, 0.64791113, 0.64966667, 0.6441778, 0.64926666, 0.6470444, 0.6458, 0.64806664, 0.6482889, 0.6496889, 0.6482222, 0.6465778, 0.6495111, 0.6444889, 0.64757776, 0.64746666, 0.65224445, 0.64753336, 0.6496889, 0.6497333, 0.64537776, 0.6504222, 0.6500889, 0.6496, 0.65062225, 0.6485556, 0.6477778, 0.6486889, 0.64784443, 0.6482667, 0.6487333, 0.64831114, 0.6482, 0.6495778, 0.6486, 0.64651114, 0.64964443]
################# cnn_lstm_True Validation Accuracy = [0.3258, 0.3998, 0.4076, 0.4294, 0.4372, 0.4422, 0.451, 0.4632, 0.4748, 0.477, 0.4832, 0.4968, 0.4994, 0.503, 0.5034, 0.5236, 0.526, 0.5234, 0.5166, 0.534, 0.5202, 0.5254, 0.5302, 0.5328, 0.5454, 0.5486, 0.5388, 0.5438, 0.5492, 0.5422, 0.545, 0.5508, 0.5528, 0.5472, 0.5574, 0.5572, 0.553, 0.555, 0.5528, 0.556, 0.5542, 0.5568, 0.5648, 0.5676, 0.557, 0.5638, 0.56, 0.554, 0.5686, 0.568, 0.5676, 0.5602, 0.5674, 0.5626, 0.568, 0.5692, 0.5686, 0.5644, 0.568, 0.5724, 0.5688, 0.5652, 0.5766, 0.5758, 0.572, 0.5648, 0.5664, 0.571, 0.5752, 0.5738, 0.5834, 0.5786, 0.5676, 0.5814, 0.5706, 0.5756, 0.5734, 0.5784, 0.5702, 0.5754, 0.5702, 0.5686, 0.5736, 0.5814, 0.5752, 0.586, 0.576, 0.5808, 0.5864, 0.5776, 0.5764, 0.5796, 0.5734, 0.5688, 0.584, 0.583, 0.585, 0.5692, 0.5818, 0.5878, 0.582, 0.572, 0.5874, 0.5854, 0.5942, 0.5814, 0.5964, 0.5848, 0.5852, 0.5888, 0.5876, 0.5818, 0.5832, 0.5856, 0.584, 0.5798, 0.5872, 0.584, 0.5842, 0.5848, 0.5848, 0.5834, 0.5856, 0.5892, 0.5848, 0.5842, 0.5838, 0.5784, 0.5748, 0.5848, 0.5836, 0.5878, 0.5872, 0.5864, 0.5798, 0.5838, 0.5802, 0.588, 0.5904, 0.5854, 0.5834, 0.5856, 0.5928, 0.5916, 0.581, 0.5816, 0.5878, 0.5796, 0.5932, 0.584, 0.5938, 0.582, 0.5874, 0.5892, 0.5864, 0.583, 0.576, 0.5912, 0.5932, 0.5944, 0.5894, 0.5892, 0.5954, 0.5874, 0.5882, 0.5954, 0.591, 0.5912, 0.5826, 0.5888, 0.597, 0.594, 0.587, 0.5894, 0.5848, 0.5982, 0.5968, 0.5878, 0.5898, 0.5808, 0.5876, 0.5808, 0.5844, 0.5944, 0.5844, 0.5932, 0.5884, 0.594, 0.5948, 0.5848, 0.5964, 0.5794, 0.5872, 0.5864, 0.5858, 0.5858, 0.5912, 0.5888, 0.5924, 0.5912, 0.599, 0.5954, 0.5854, 0.5938, 0.591, 0.5896, 0.5952, 0.5858, 0.597, 0.585, 0.5852, 0.5906, 0.5926, 0.5814, 0.592, 0.589, 0.587, 0.5938, 0.5938, 0.592, 0.596, 0.5954, 0.587, 0.596, 0.586, 0.5954, 0.5908, 0.5916, 0.5946, 0.5874, 0.5982, 0.5922, 0.5972, 0.586, 0.5942, 0.5898, 0.5978, 0.5988, 0.5882, 0.5942, 0.5962, 0.5922, 0.5926, 0.591, 0.594, 0.5892, 0.587, 0.5884, 0.591, 0.5926, 0.5926, 0.5924, 0.5874, 0.593, 0.5952, 0.5902, 0.5958, 0.5832, 0.5942, 0.588, 0.5954, 0.59, 0.5908, 0.5888, 0.5976, 0.5936, 0.5938, 0.5904, 0.5988, 0.585, 0.5942, 0.5938, 0.5988, 0.5934, 0.5998, 0.5958, 0.5994, 0.5922, 0.5904, 0.5836, 0.5914, 0.589, 0.5942, 0.5918, 0.5976, 0.5876, 0.596, 0.602, 0.5864, 0.5852, 0.5938, 0.5944, 0.5908, 0.598, 0.5916, 0.5886, 0.5916, 0.5852, 0.58, 0.583, 0.5928, 0.5916, 0.5908, 0.5952, 0.5858, 0.5918, 0.5934, 0.5976, 0.586, 0.5906, 0.583, 0.5986, 0.5856, 0.5886, 0.5932, 0.5938, 0.5918, 0.5936, 0.5848, 0.5924, 0.5922, 0.5926, 0.589, 0.5928, 0.595, 0.5888, 0.5932, 0.5898, 0.5838, 0.5842, 0.5976, 0.5918, 0.5936, 0.593, 0.593, 0.5844, 0.5918, 0.5986, 0.6016, 0.5896, 0.5988, 0.601, 0.5956, 0.5932, 0.5904, 0.5974, 0.5862, 0.6016, 0.5966, 0.5908, 0.5886, 0.5918, 0.5906, 0.5944, 0.5902, 0.591, 0.5868, 0.5924, 0.5934, 0.5946, 0.596, 0.5918, 0.597, 0.5868, 0.5882, 0.5834, 0.5856, 0.5898, 0.5934, 0.5862, 0.5892, 0.5928, 0.5902, 0.592, 0.59, 0.5844, 0.5836, 0.5864, 0.5894, 0.5912, 0.5932, 0.5854, 0.5896, 0.593, 0.5864, 0.6004, 0.5906, 0.5868, 0.5984, 0.5912, 0.5892, 0.596, 0.592, 0.5972, 0.5964, 0.5996, 0.5936, 0.5958, 0.5942, 0.5904, 0.5966, 0.5952, 0.5882, 0.5966, 0.5958, 0.5948, 0.5932, 0.6024, 0.6, 0.5972, 0.5968, 0.5954, 0.595, 0.595, 0.5944, 0.5952, 0.5952, 0.6006, 0.597, 0.5948, 0.59, 0.5936, 0.5916, 0.5946, 0.5984, 0.5914, 0.5988, 0.5964, 0.5908, 0.5906, 0.593, 0.5894, 0.5938, 0.5916, 0.5916, 0.5908, 0.5994, 0.594, 0.5926, 0.5946, 0.601, 0.5966, 0.5992, 0.6, 0.5968, 0.5948, 0.591, 0.5972, 0.5952, 0.595, 0.591, 0.5948, 0.5956, 0.5956, 0.5932, 0.5962, 0.5992, 0.6028, 0.5988, 0.5962, 0.6004, 0.5978, 0.5924, 0.5922, 0.5952, 0.5982, 0.604, 0.5998, 0.6052, 0.5932, 0.602, 0.6012, 0.5986, 0.604, 0.5932, 0.5916, 0.5932, 0.5926, 0.5972, 0.5916, 0.5996, 0.5984, 0.5954, 0.5992, 0.6088, 0.5998, 0.5956, 0.5982, 0.5908, 0.5972, 0.5966, 0.5936, 0.5864, 0.5968, 0.587, 0.5912, 0.5936, 0.594, 0.605, 0.6]
################# cnn_lstm_True Training Accuracy = [0.24584444, 0.35053334, 0.38793334, 0.40875554, 0.4229111, 0.4331111, 0.44337776, 0.44886667, 0.45893332, 0.46524444, 0.47291112, 0.47626665, 0.4856889, 0.48975554, 0.4916, 0.4988, 0.5033111, 0.5056889, 0.5113556, 0.5152444, 0.5168222, 0.5198889, 0.5234889, 0.52444446, 0.5282889, 0.5336889, 0.53297776, 0.5376889, 0.54246664, 0.53664446, 0.5434, 0.5458, 0.5467333, 0.5486444, 0.5535111, 0.5506222, 0.5524667, 0.55295557, 0.55697775, 0.5574667, 0.5597111, 0.5593111, 0.56273335, 0.56615555, 0.56457776, 0.5658889, 0.56504446, 0.56744444, 0.5668667, 0.5719111, 0.56886667, 0.57093334, 0.5731556, 0.5764889, 0.5733111, 0.5746889, 0.5784889, 0.57868886, 0.5796667, 0.57868886, 0.58095556, 0.5823333, 0.5834444, 0.58566666, 0.5847778, 0.5849111, 0.58408886, 0.5852889, 0.58735555, 0.58813334, 0.58802223, 0.5897111, 0.5891778, 0.59106666, 0.58977777, 0.59164447, 0.5935778, 0.59155554, 0.5924444, 0.5958, 0.5974889, 0.5984222, 0.59635556, 0.59797776, 0.5967111, 0.59882224, 0.59864444, 0.59995556, 0.59793335, 0.6014, 0.5981111, 0.60044444, 0.60055554, 0.60208887, 0.6009778, 0.60113335, 0.6046, 0.6018889, 0.60624444, 0.6012, 0.60373336, 0.6020667, 0.60388887, 0.60364443, 0.60344446, 0.60855556, 0.6080667, 0.6056, 0.6059333, 0.61097777, 0.6092, 0.6079778, 0.6118444, 0.6070667, 0.6104, 0.60895556, 0.6101556, 0.6104444, 0.61002225, 0.6122, 0.6102222, 0.6121778, 0.61095554, 0.6102667, 0.61075556, 0.61311114, 0.6121778, 0.6160667, 0.61502224, 0.61444443, 0.61435556, 0.61344445, 0.61355555, 0.6150444, 0.6168444, 0.6152889, 0.6140444, 0.6184222, 0.61513335, 0.6177111, 0.61388886, 0.61653334, 0.61455554, 0.61595553, 0.62053335, 0.61826664, 0.6192667, 0.62093335, 0.6173556, 0.61895555, 0.61726665, 0.6194222, 0.6232, 0.62115556, 0.6197111, 0.62035555, 0.61844444, 0.62042224, 0.618, 0.6223556, 0.61902225, 0.62288886, 0.6220222, 0.6221778, 0.6239111, 0.6190889, 0.6250889, 0.6246, 0.6218, 0.62484443, 0.6250889, 0.6202889, 0.6244889, 0.62333333, 0.62457776, 0.6242, 0.6236, 0.6252, 0.6274667, 0.6245555, 0.6241111, 0.6262, 0.6253778, 0.6244444, 0.6254, 0.6255556, 0.6254, 0.62355554, 0.62986666, 0.6236445, 0.6255556, 0.62682223, 0.6252222, 0.6265778, 0.62684447, 0.62684447, 0.6264667, 0.6289333, 0.63042223, 0.62946665, 0.62873334, 0.6296889, 0.6269111, 0.6298222, 0.62975556, 0.6280889, 0.6296667, 0.6295556, 0.62873334, 0.6278222, 0.6266222, 0.6314222, 0.63211113, 0.62813336, 0.6260667, 0.6296889, 0.6291111, 0.63251114, 0.62813336, 0.63071114, 0.62946665, 0.6320889, 0.62913334, 0.63177776, 0.6306667, 0.63008887, 0.6332222, 0.6346, 0.63104445, 0.6309111, 0.6326, 0.6289333, 0.6310667, 0.6288889, 0.6339333, 0.63155556, 0.6330889, 0.6311111, 0.634, 0.63233334, 0.6316222, 0.63533336, 0.6349556, 0.63482225, 0.63224447, 0.6336667, 0.6331556, 0.6326, 0.63533336, 0.63024443, 0.6355778, 0.6332222, 0.6337111, 0.6360889, 0.6368222, 0.6360889, 0.6338222, 0.6360222, 0.63537776, 0.6355111, 0.6344444, 0.63255554, 0.634, 0.6377778, 0.6331111, 0.63493335, 0.63935554, 0.63553333, 0.63537776, 0.6352889, 0.63637775, 0.6369111, 0.6370889, 0.6368, 0.6359556, 0.6358889, 0.6383111, 0.6369111, 0.6352889, 0.6394445, 0.6378667, 0.63688886, 0.6374889, 0.6386222, 0.63902223, 0.6359556, 0.6384889, 0.63893336, 0.63897777, 0.6379111, 0.63611114, 0.6355778, 0.6419778, 0.6392, 0.6389111, 0.6415333, 0.63953334, 0.63868886, 0.6379111, 0.63913333, 0.63766664, 0.6381556, 0.6368222, 0.6410667, 0.6410667, 0.6398444, 0.63795555, 0.63913333, 0.6403111, 0.6416, 0.6383333, 0.63766664, 0.63964444, 0.64206666, 0.6381556, 0.63857776, 0.6432, 0.6412, 0.64064443, 0.63824445, 0.63766664, 0.6410889, 0.63915557, 0.64075553, 0.6404667, 0.64093333, 0.64284444, 0.6405111, 0.63835555, 0.6406, 0.6419111, 0.6398, 0.64115554, 0.6413556, 0.6391111, 0.64213336, 0.64104444, 0.64022225, 0.6409111, 0.64262223, 0.6416444, 0.6382, 0.6426889, 0.64284444, 0.64493334, 0.63913333, 0.6441111, 0.6398, 0.6419111, 0.6436, 0.6432, 0.63942224, 0.64055556, 0.6418889, 0.6424222, 0.63997775, 0.6433111, 0.644, 0.64306664, 0.6451333, 0.6403555, 0.6419111, 0.64273334, 0.6437111, 0.6440667, 0.6418667, 0.6412889, 0.6440667, 0.6432, 0.64526665, 0.64357775, 0.64475554, 0.6430445, 0.64426666, 0.6438444, 0.6436889, 0.6428, 0.64213336, 0.641, 0.64446664, 0.6433778, 0.6418, 0.6429333, 0.6446667, 0.6440667, 0.6464, 0.6455111, 0.6448889, 0.6445111, 0.644, 0.6441778, 0.6432222, 0.6438, 0.64408886, 0.64713335, 0.6451111, 0.6422222, 0.64706665, 0.6412889, 0.64408886, 0.6448445, 0.6454222, 0.6473333, 0.6446, 0.6433778, 0.6444889, 0.6439111, 0.64522225, 0.6419111, 0.6449111, 0.64486665, 0.6442889, 0.6469778, 0.6426889, 0.6433333, 0.6464222, 0.6457555, 0.6475111, 0.6465333, 0.64537776, 0.6464, 0.6455778, 0.6430445, 0.64566666, 0.6456889, 0.6478, 0.6455333, 0.64435554, 0.64713335, 0.647, 0.64662224, 0.6469778, 0.6496222, 0.6471556, 0.6464667, 0.64364445, 0.64504445, 0.6447778, 0.6450222, 0.64857775, 0.64626664, 0.6459778, 0.64437777, 0.6447333, 0.6483333, 0.64633334, 0.64768887, 0.64606667, 0.6450667, 0.6474, 0.6499111, 0.6482, 0.6452, 0.64455557, 0.64555556, 0.6479333, 0.64588886, 0.645, 0.64797777, 0.64615554, 0.6454, 0.64804447, 0.647, 0.6514, 0.64791113, 0.64966667, 0.6441778, 0.64926666, 0.6470444, 0.6458, 0.64806664, 0.6482889, 0.6496889, 0.6482222, 0.6465778, 0.6495111, 0.6444889, 0.64757776, 0.64746666, 0.65224445, 0.64753336, 0.6496889, 0.6497333, 0.64537776, 0.6504222, 0.6500889, 0.6496, 0.65062225, 0.6485556, 0.6477778, 0.6486889, 0.64784443, 0.6482667, 0.6487333, 0.64831114, 0.6482, 0.6495778, 0.6486, 0.64651114, 0.64964443]
with cnn_sropout = 0.4 and rnn dropout = 0.2 and lr = 5e-4 with res = 8 with 10 samples and 500 epochs out.813128
################# cnn_lstm_True Validation Accuracy = [0.3506, 0.4258, 0.437, 0.4526, 0.4624, 0.462, 0.49, 0.5016, 0.5074, 0.5234, 0.5178, 0.523, 0.5234, 0.5174, 0.5366, 0.5146, 0.545, 0.539, 0.5384, 0.5426, 0.546, 0.5574, 0.5508, 0.5322, 0.5694, 0.549, 0.563, 0.5702, 0.5606, 0.5674, 0.5814, 0.5678, 0.564, 0.5678, 0.5648, 0.5654, 0.5846, 0.5776, 0.5796, 0.5712, 0.591, 0.5772, 0.5746, 0.592, 0.587, 0.5906, 0.592, 0.5766, 0.5812, 0.5778, 0.5878, 0.5786, 0.5934, 0.594, 0.5948, 0.5892, 0.5896, 0.5884, 0.5826, 0.5834, 0.5848, 0.5862, 0.5932, 0.5956, 0.598, 0.5874, 0.5996, 0.5958, 0.5862, 0.5734, 0.5808, 0.5898, 0.5836, 0.599, 0.5804, 0.5862, 0.5952, 0.5968, 0.5952, 0.5926, 0.5896, 0.5932, 0.5944, 0.5842, 0.5878, 0.5882, 0.5846, 0.5954, 0.5968, 0.5872, 0.588, 0.6004, 0.5896, 0.5984, 0.5936, 0.5972, 0.5958, 0.5916, 0.5908, 0.5922, 0.5856, 0.598, 0.5912, 0.5946, 0.5886, 0.5952, 0.5884, 0.5944, 0.5968, 0.5792, 0.5984, 0.6004, 0.5882, 0.5906, 0.583, 0.6026, 0.5956, 0.5998, 0.5966, 0.5888, 0.591, 0.5936, 0.5928, 0.594, 0.6046, 0.5994, 0.5874, 0.589, 0.5996, 0.597, 0.599, 0.5946, 0.5896, 0.5952, 0.5892, 0.6004, 0.5942, 0.5884, 0.6062, 0.5984, 0.6058, 0.5998, 0.6006, 0.6016, 0.591, 0.5888, 0.578, 0.586, 0.5946, 0.5878, 0.5936, 0.5892, 0.5956, 0.5926, 0.6004, 0.5898, 0.5922, 0.5952, 0.5988, 0.5882, 0.593, 0.5928, 0.6006, 0.5946, 0.5946, 0.5988, 0.5986, 0.5928, 0.5908, 0.591, 0.602, 0.5976, 0.5986, 0.5966, 0.5898, 0.5978, 0.59, 0.5944, 0.5962, 0.6016, 0.5942, 0.5966, 0.5926, 0.5918, 0.5956, 0.5904, 0.5856, 0.6024, 0.5896, 0.5936, 0.5952, 0.6006, 0.5866, 0.5988, 0.5912, 0.6016, 0.5882, 0.5984, 0.6006, 0.6034, 0.5936, 0.603, 0.599, 0.602, 0.5978, 0.5914, 0.5958, 0.6014, 0.6006, 0.5844, 0.5888, 0.6066, 0.5986, 0.5916, 0.5946, 0.5972, 0.5948, 0.5968, 0.599, 0.6024, 0.594, 0.5946, 0.5978, 0.5954, 0.5934, 0.5964, 0.5946, 0.5938, 0.5886, 0.5948, 0.6006, 0.5954, 0.6036, 0.6, 0.601, 0.5994, 0.5932, 0.6024, 0.5894, 0.5936, 0.5906, 0.6042, 0.6076, 0.599, 0.598, 0.6006, 0.5958, 0.5972, 0.5964, 0.593, 0.5986, 0.5982, 0.5952, 0.5984, 0.5856, 0.5946, 0.6052, 0.6022, 0.5936, 0.6028, 0.5934, 0.5954, 0.5962, 0.6054, 0.6006, 0.5992, 0.5954, 0.5974, 0.605, 0.593, 0.6052, 0.5942, 0.6002, 0.6026, 0.5936, 0.6034, 0.5864, 0.6016, 0.5956, 0.6008, 0.5974, 0.6104, 0.6052, 0.6106, 0.6038, 0.6064, 0.5978, 0.5994, 0.5972, 0.6048, 0.6022, 0.6022, 0.6016, 0.5902, 0.6144, 0.6008, 0.6028, 0.6026, 0.5988, 0.6028, 0.603, 0.5952, 0.5992, 0.5926, 0.6, 0.5978, 0.6028, 0.5992, 0.5994, 0.5946, 0.6006, 0.6056, 0.6002, 0.6022, 0.6024, 0.6008, 0.5994, 0.5996, 0.5966, 0.6026, 0.6014, 0.601, 0.596, 0.5976, 0.5968, 0.603, 0.5968, 0.5982, 0.5998, 0.6012, 0.605, 0.6052, 0.6, 0.6084, 0.601, 0.604, 0.5938, 0.6006, 0.6022, 0.598, 0.597, 0.6066, 0.6022, 0.5992, 0.5964, 0.5956, 0.6026, 0.5998, 0.6074, 0.6016, 0.6036, 0.613, 0.596, 0.6, 0.6016, 0.5972, 0.6012, 0.6, 0.6074, 0.601, 0.6026, 0.6058, 0.6018, 0.6032, 0.5986, 0.6048, 0.6034, 0.6066, 0.6078, 0.6066, 0.5954, 0.6016, 0.5984, 0.5944, 0.6018, 0.6016, 0.603, 0.599, 0.6038, 0.591, 0.6014, 0.5974, 0.5966, 0.6004, 0.5954, 0.5908, 0.5892, 0.5892, 0.6, 0.593, 0.5986, 0.6034, 0.5994, 0.5988, 0.606, 0.6068, 0.6006, 0.6052, 0.5976, 0.5958, 0.5918, 0.5974, 0.5984, 0.6052, 0.6046, 0.601, 0.6138, 0.5994, 0.6016, 0.5964, 0.6054, 0.6004, 0.5936, 0.6012, 0.5992, 0.5976, 0.5868, 0.5986, 0.5872, 0.5934, 0.5958, 0.5954, 0.5932, 0.6008, 0.5954, 0.5902, 0.6016, 0.5998, 0.5956, 0.597, 0.5914, 0.5964, 0.6022, 0.5962, 0.593, 0.5982, 0.5926, 0.5968, 0.6006, 0.5952, 0.596, 0.5908, 0.6022, 0.5952, 0.6026, 0.599, 0.5986, 0.598, 0.5972, 0.602, 0.6014, 0.6022, 0.598, 0.6014, 0.5994, 0.5984, 0.602, 0.5976, 0.5946, 0.5998, 0.6026, 0.604, 0.598, 0.5948, 0.602, 0.5988, 0.5974, 0.6036, 0.5964, 0.599, 0.598, 0.5992, 0.5984, 0.601, 0.5956, 0.6012, 0.6014, 0.6034, 0.6004, 0.6004, 0.598, 0.5976, 0.6028, 0.5954, 0.598, 0.5976, 0.5932, 0.5944, 0.6046, 0.602, 0.6006, 0.6, 0.6036, 0.604, 0.6058, 0.5958, 0.6002, 0.6036, 0.6052, 0.6044]
################# cnn_lstm_True Training Accuracy = [0.26002222, 0.37235555, 0.41088888, 0.43533334, 0.45157778, 0.46348888, 0.47482222, 0.48466668, 0.49411112, 0.4982, 0.5069111, 0.51173335, 0.5198445, 0.52104443, 0.5298667, 0.5331111, 0.5375556, 0.5388889, 0.5466, 0.54815555, 0.54928887, 0.5550445, 0.5568445, 0.56435555, 0.5647333, 0.56446666, 0.56495553, 0.5708, 0.5726, 0.57673335, 0.57835555, 0.57893336, 0.5798889, 0.58257776, 0.58442223, 0.58875555, 0.5867556, 0.59044445, 0.58846664, 0.5932889, 0.5962, 0.5942889, 0.5940667, 0.5989111, 0.60044444, 0.60028887, 0.6003778, 0.60044444, 0.60286665, 0.60444444, 0.60675555, 0.6076222, 0.6081111, 0.6105111, 0.6144889, 0.61135554, 0.6096, 0.614, 0.61671114, 0.61568886, 0.6184667, 0.61675555, 0.61737776, 0.62513334, 0.6207111, 0.62144446, 0.62255555, 0.6216, 0.623, 0.6256222, 0.62593335, 0.6261333, 0.6252889, 0.6291111, 0.62855554, 0.6308445, 0.6297111, 0.6308889, 0.63173336, 0.63395554, 0.6346, 0.63195556, 0.6347333, 0.63453335, 0.6356889, 0.63533336, 0.6365778, 0.6391778, 0.63802224, 0.6388, 0.63924444, 0.6368222, 0.64228886, 0.64086664, 0.6418222, 0.642, 0.6408, 0.6379778, 0.6434444, 0.6421111, 0.63993335, 0.64295554, 0.64522225, 0.64635557, 0.64482224, 0.64753336, 0.64824444, 0.64795554, 0.6487778, 0.64864445, 0.6474, 0.6500222, 0.6481111, 0.65037775, 0.647, 0.6498889, 0.6495111, 0.6509111, 0.6482, 0.65184444, 0.6502444, 0.64982224, 0.6518667, 0.6504889, 0.6533333, 0.6520889, 0.6557556, 0.6536889, 0.6522222, 0.65475553, 0.6579111, 0.6558889, 0.6580667, 0.6559111, 0.65533334, 0.65782225, 0.65662223, 0.6535111, 0.6564222, 0.6553556, 0.65855557, 0.65846664, 0.6594, 0.6558222, 0.6600222, 0.6581778, 0.6584, 0.6606445, 0.6607111, 0.65933335, 0.6636889, 0.65875554, 0.6593556, 0.6616222, 0.66224444, 0.6608222, 0.6646889, 0.6640222, 0.6595111, 0.66215557, 0.66393334, 0.6637333, 0.6625556, 0.66044444, 0.6639111, 0.66591114, 0.66595554, 0.66573334, 0.66591114, 0.6688667, 0.66573334, 0.6650444, 0.6655333, 0.6683111, 0.6671778, 0.66642225, 0.66826665, 0.66855556, 0.67113334, 0.6687111, 0.6679111, 0.66804445, 0.66844445, 0.6673333, 0.66977775, 0.6693556, 0.6670222, 0.6693556, 0.66744447, 0.66911113, 0.66915554, 0.66844445, 0.6711556, 0.6716667, 0.6711111, 0.672, 0.6707111, 0.67113334, 0.67064446, 0.67104447, 0.6739778, 0.67255557, 0.6720222, 0.67073333, 0.67271113, 0.67233336, 0.673, 0.6721778, 0.6762, 0.6724, 0.6713333, 0.6718, 0.67208886, 0.67642224, 0.6724667, 0.6754889, 0.6734, 0.67311114, 0.6744222, 0.6762, 0.6722444, 0.6767333, 0.6790444, 0.67377776, 0.6742667, 0.6772, 0.67646664, 0.67455554, 0.6768, 0.67242223, 0.6748889, 0.67646664, 0.6785333, 0.6776, 0.67333335, 0.6766667, 0.67704445, 0.67653334, 0.67542225, 0.6809555, 0.6784889, 0.6774222, 0.6812, 0.6820889, 0.6766, 0.67631114, 0.6772444, 0.67962223, 0.67855555, 0.68017775, 0.67906666, 0.67811114, 0.6754, 0.67957777, 0.6800889, 0.6798, 0.6809555, 0.6788222, 0.67866665, 0.6785333, 0.6772889, 0.68035555, 0.6809111, 0.6808889, 0.6816222, 0.68, 0.6821778, 0.67877775, 0.68024445, 0.6807778, 0.68002224, 0.67913336, 0.68306667, 0.68075556, 0.68186665, 0.6824889, 0.67917776, 0.68222225, 0.6826889, 0.6804889, 0.6809555, 0.68197775, 0.68146664, 0.68237776, 0.68277776, 0.67984444, 0.68002224, 0.6838222, 0.6838889, 0.6868, 0.6828667, 0.6806, 0.68124443, 0.68237776, 0.6806667, 0.6828667, 0.684, 0.6830889, 0.6838, 0.68197775, 0.6838889, 0.6784667, 0.6829778, 0.6866889, 0.6834222, 0.6838222, 0.68644446, 0.68351114, 0.6870222, 0.6800889, 0.68813336, 0.6838222, 0.6875333, 0.68633336, 0.6861778, 0.685, 0.6834667, 0.6867333, 0.68486667, 0.6841111, 0.6859111, 0.6858, 0.68597776, 0.6850889, 0.6895111, 0.68684447, 0.6862222, 0.6888222, 0.68813336, 0.6896222, 0.68586665, 0.68484443, 0.6884889, 0.68453336, 0.68575555, 0.68682224, 0.68693334, 0.6864222, 0.6860667, 0.6869556, 0.6881111, 0.6865111, 0.6879111, 0.68653333, 0.6862889, 0.69204444, 0.68648887, 0.6857778, 0.6902, 0.68873334, 0.6896667, 0.6882, 0.68582225, 0.6904, 0.6892667, 0.6860667, 0.6887778, 0.68906665, 0.6867333, 0.68957776, 0.69082224, 0.68986666, 0.6870222, 0.6892667, 0.6920222, 0.68953335, 0.6888222, 0.6920222, 0.6873556, 0.6916222, 0.6893778, 0.68968886, 0.6890889, 0.6911778, 0.6907333, 0.6916222, 0.6887556, 0.69375557, 0.6906222, 0.6885333, 0.68995553, 0.69233334, 0.6880889, 0.69166666, 0.69097775, 0.69082224, 0.69184446, 0.69002223, 0.69075555, 0.6938222, 0.69346666, 0.69137776, 0.6933333, 0.69233334, 0.69206667, 0.68997777, 0.6902222, 0.6944444, 0.69255555, 0.6926, 0.6915778, 0.69164443, 0.6934, 0.6918, 0.69435555, 0.6911333, 0.693, 0.69226664, 0.6914222, 0.69386667, 0.6925111, 0.6921333, 0.6954, 0.69355553, 0.69402224, 0.69406664, 0.69328886, 0.69211113, 0.69317776, 0.69086665, 0.6944444, 0.6914667, 0.6902222, 0.69533336, 0.69593334, 0.69306666, 0.69355553, 0.693, 0.6969333, 0.69064444, 0.69548887, 0.69442225, 0.69406664, 0.6944444, 0.6964889, 0.6958445, 0.6977556, 0.69424444, 0.69497776, 0.69526666, 0.6947333, 0.69777775, 0.6968222, 0.6994889, 0.6950667, 0.6911111, 0.6942222, 0.6976445, 0.69586664, 0.6967111, 0.6934, 0.6963556, 0.69366664, 0.6979333, 0.69677776, 0.6964889, 0.6929333, 0.6951333, 0.6950222, 0.6978667, 0.6924222, 0.69644445, 0.6926889, 0.6948, 0.6967111, 0.69884443, 0.69975555, 0.69802225, 0.69626665, 0.69817775, 0.6986222, 0.6982, 0.697, 0.6974667, 0.6984444, 0.6949111, 0.6966, 0.69615555, 0.69735557, 0.6937111, 0.6951333, 0.69906664, 0.69515556, 0.6963556, 0.6979778, 0.69582224, 0.697, 0.6959111, 0.69817775, 0.69688886, 0.6994889, 0.6986, 0.6960222, 0.6968, 0.69942224, 0.6992, 0.6955111, 0.70015556, 0.69395554, 0.69688886]
with cnn_dropout = 0.4 and rnn dropout = 0.2 and lr = 5e-4 with res = 8 with 5 samples and 200 epochs, hs = 256 out.836808
with cnn_dropout = 0.4 and rnn dropout = 0.2 and lr = 5e-4 with res = 8 with 5 samples and 500 epochs, hs = 256 out.850568
with cnn_dropout = 0.4 and rnn dropout = 0.2 and lr = 5e-4 with res = 8 with 10 samples and 200 epochs, hs = 256 out.846535
################# cnn_lstm_True Validation Accuracy = [0.339, 0.3814, 0.4168, 0.4498, 0.453, 0.4722, 0.4766, 0.4924, 0.4932, 0.5042, 0.5004, 0.5084, 0.4992, 0.5072, 0.5184, 0.5258, 0.5286, 0.5358, 0.5306, 0.5372, 0.549, 0.5322, 0.55, 0.5528, 0.5488, 0.535, 0.555, 0.5514, 0.5558, 0.5496, 0.557, 0.5474, 0.5448, 0.5578, 0.5644, 0.5724, 0.5662, 0.5638, 0.5668, 0.5534, 0.5596, 0.56, 0.564, 0.5706, 0.5672, 0.5678, 0.5798, 0.5744, 0.5696, 0.5624, 0.5772, 0.5702, 0.5746, 0.5762, 0.5668, 0.5714, 0.5772, 0.5698, 0.5736, 0.5798, 0.5808, 0.5746, 0.5758, 0.578, 0.5758, 0.5756, 0.5728, 0.5818, 0.5848, 0.5808, 0.585, 0.5786, 0.5762, 0.572, 0.5806, 0.5826, 0.5728, 0.578, 0.5782, 0.5678, 0.5822, 0.5804, 0.5814, 0.584, 0.5852, 0.5842, 0.5844, 0.578, 0.5828, 0.583, 0.5746, 0.5766, 0.5778, 0.5736, 0.5686, 0.5838, 0.5718, 0.5912, 0.5802, 0.5782, 0.5892, 0.589, 0.586, 0.5764, 0.5836, 0.5846, 0.5784, 0.5856, 0.5924, 0.5794, 0.5812, 0.5802, 0.577, 0.574, 0.5758, 0.574, 0.5876, 0.5826, 0.576, 0.5904, 0.5784, 0.59, 0.5798, 0.5762, 0.587, 0.5818, 0.577, 0.584, 0.5872, 0.5818, 0.5798, 0.579, 0.5792, 0.5846, 0.59, 0.584, 0.581, 0.5812, 0.5834, 0.5798, 0.582, 0.5838, 0.5844, 0.575, 0.5864, 0.5876, 0.5784, 0.589, 0.5796, 0.5782, 0.5838, 0.5784, 0.5828, 0.5776, 0.5878, 0.5914, 0.5878, 0.584, 0.584, 0.5786, 0.5874, 0.5874, 0.5878, 0.584, 0.5854, 0.5878, 0.5788, 0.586, 0.5828, 0.5814, 0.5868, 0.5838, 0.5794, 0.5738, 0.5678, 0.584, 0.5646, 0.5784, 0.5874, 0.5862, 0.5814, 0.576, 0.579, 0.5842, 0.5866, 0.5828, 0.5788, 0.5824, 0.5784, 0.5804, 0.5918, 0.583, 0.5838, 0.581, 0.5772, 0.5854, 0.579, 0.5856, 0.5838, 0.5684]
################# cnn_lstm_True Training Accuracy = [0.25933334, 0.35897776, 0.40086666, 0.41968888, 0.43133333, 0.4426222, 0.45602223, 0.464, 0.4725111, 0.4824, 0.48344445, 0.4886889, 0.4959778, 0.50024444, 0.5028222, 0.5082222, 0.50993335, 0.51266664, 0.51886666, 0.52084446, 0.52646667, 0.52404445, 0.5317111, 0.5313778, 0.5377778, 0.5391778, 0.5374889, 0.5467333, 0.54455554, 0.54733336, 0.54833335, 0.5536, 0.5534667, 0.5556222, 0.559, 0.5606889, 0.5632222, 0.56493336, 0.56306666, 0.5652889, 0.57233334, 0.57015556, 0.5712, 0.57144445, 0.57442224, 0.57515556, 0.57857776, 0.5813778, 0.5827111, 0.5814, 0.5822, 0.58335555, 0.58815557, 0.5899111, 0.5893111, 0.5896889, 0.5938889, 0.59315556, 0.59037775, 0.5937778, 0.59675556, 0.5979556, 0.60024446, 0.60231113, 0.5999111, 0.6032889, 0.6035333, 0.59848887, 0.60015553, 0.60568887, 0.6070222, 0.6063333, 0.6086889, 0.609, 0.6100444, 0.608, 0.61284447, 0.61013335, 0.6125778, 0.61417776, 0.6145778, 0.61653334, 0.61782223, 0.6174, 0.61873335, 0.6196667, 0.61877775, 0.6184667, 0.6224222, 0.6238222, 0.6217333, 0.6231111, 0.62384444, 0.6241111, 0.62593335, 0.62633336, 0.6242889, 0.62824446, 0.6285333, 0.62684447, 0.6272, 0.6290889, 0.6309111, 0.62942225, 0.6313556, 0.6296889, 0.63328886, 0.6348444, 0.63564444, 0.6356, 0.6346667, 0.63733333, 0.6368222, 0.63895553, 0.6392, 0.6382889, 0.6387778, 0.6429778, 0.6417111, 0.6396222, 0.6428, 0.6437333, 0.64342225, 0.6436889, 0.64651114, 0.6487778, 0.64806664, 0.6462, 0.64526665, 0.64604443, 0.64802223, 0.6433111, 0.6487333, 0.6496222, 0.64915556, 0.6493111, 0.6515778, 0.65037775, 0.6518667, 0.65433335, 0.65011114, 0.65484446, 0.6539111, 0.65246665, 0.6572222, 0.65664446, 0.6535778, 0.65617776, 0.65826666, 0.6585778, 0.6563778, 0.6543111, 0.6588889, 0.6595111, 0.66033334, 0.65742224, 0.66184443, 0.6596, 0.6606445, 0.66444445, 0.66106665, 0.6597111, 0.6607556, 0.6629111, 0.6594889, 0.6645333, 0.66524446, 0.6639778, 0.66444445, 0.66444445, 0.669, 0.6661111, 0.6661111, 0.6684667, 0.66915554, 0.66746664, 0.66884446, 0.6691333, 0.6706222, 0.66966665, 0.6698222, 0.67057776, 0.66962224, 0.6712889, 0.67204446, 0.6702222, 0.67388886, 0.6762889, 0.6710889, 0.67404443, 0.67264444, 0.67275554, 0.6758222, 0.6774222, 0.6727778, 0.6743111, 0.67755556, 0.6782, 0.6754, 0.6779778]
with cnn_dropout = 0.4 and rnn dropout = 0.2 and lr = 5e-4 with res = 8 with 10 samples and 500 epochs, hs = 256 out.850588
200 20 8 256 1 3 0
out.418207
200 20 8 256 1 0 0
out.418221
50 20 8 256 1 0 0
out.418247
'''
from __future__ import division, print_function, absolute_import
print('Starting..................................')
import sys
sys.path.insert(1, '/home/labs/ahissarlab/orra/imagewalker')
import numpy as np
import cv2
import misc
import pandas as pd
import matplotlib.pyplot as plt
import pickle
from keras_utils import *
from misc import *
import tensorflow.keras as keras
import tensorflow as tf
from tensorflow.keras.datasets import cifar10
# load dataset
(trainX, trainy), (testX, testy) = cifar10.load_data()
images, labels = trainX, trainy
#Define function for low resolution lens on syclop
def bad_res101(img,res):
sh=np.shape(img)
dwnsmp=cv2.resize(img,res, interpolation = cv2.INTER_CUBIC)
upsmp = cv2.resize(dwnsmp,sh[:2], interpolation = cv2.INTER_CUBIC)
return upsmp
def bad_res102(img,res):
sh=np.shape(img)
dwnsmp=cv2.resize(img,res, interpolation = cv2.INTER_AREA)
return dwnsmp
# import importlib
# importlib.reload(misc)
# from misc import Logger
import os
kernel_regularizer_list = [None, keras.regularizers.l1(),keras.regularizers.l2(),keras.regularizers.l1_l2()]
optimizer_list = [tf.keras.optimizers.Adam, tf.keras.optimizers.Nadam, tf.keras.optimizers.RMSprop]
if len(sys.argv) > 1:
paramaters = {
'epochs' : int(sys.argv[1]),
'sample' : int(sys.argv[2]),
'res' : int(sys.argv[3]),
'hidden_size' : int(sys.argv[4]),
'concat' : int(sys.argv[5]),
'regularizer' : kernel_regularizer_list[int(sys.argv[6])],
'optimizer' : optimizer_list[int(sys.argv[7])],
'cnn_dropout' : 0.4,
'rnn_dropout' : 0.2,
'lr' : 5e-4,
'run_id' : np.random.randint(1000,9000)
}
else:
paramaters = {
'epochs' : 1,
'sample' : 5,
'res' : 8,
'hidden_size' : 128,
'concat' : 1,
'regularizer' : None,
'optimizer' : optimizer_list[0],
'cnn_dropout' : 0.4,
'rnn_dropout' : 0.2,
'lr' : 5e-4,
'run_id' : np.random.randint(1000,9000)
}
print(paramaters)
for key,val in paramaters.items():
exec(key + '=val')
epochs = epochs
sample = sample
res = res
hidden_size =hidden_size
concat = concat
regularizer = regularizer
optimizer = optimizer
cnn_dropout = cnn_dropout
rnn_dropout = rnn_dropout
lr = lr
run_id = run_id
n_timesteps = sample
def split_dataset_xy(dataset):
dataset_x1 = [uu[0] for uu in dataset]
dataset_x2 = [uu[1] for uu in dataset]
dataset_y = [uu[-1] for uu in dataset]
return (np.array(dataset_x1),np.array(dataset_x2)[:,:n_timesteps,:]),np.array(dataset_y)
def cnn_lstm(n_timesteps = 5, hidden_size = 128,input_size = 32, concat = True):
'''
CNN RNN combination that extends the CNN to a network that achieves
~80% accuracy on full res cifar.
Parameters
----------
n_timesteps : TYPE, optional
DESCRIPTION. The default is 5.
img_dim : TYPE, optional
DESCRIPTION. The default is 32.
hidden_size : TYPE, optional
DESCRIPTION. The default is 128.
input_size : TYPE, optional
DESCRIPTION. The default is 32.
Returns
-------
model : TYPE
DESCRIPTION.
'''
inputA = keras.layers.Input(shape=(n_timesteps,input_size,input_size,3))
inputB = keras.layers.Input(shape=(n_timesteps,2))
# define CNN model
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(32,(3,3),activation='relu', padding = 'same'))(inputA)
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(32,(3,3),activation='relu', padding = 'same'))(x1)
x1=keras.layers.TimeDistributed(keras.layers.MaxPooling2D(pool_size=(2, 2)))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Dropout(cnn_dropout))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(64,(3,3),activation='relu', padding = 'same'))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(64,(3,3),activation='relu', padding = 'same'))(x1)
x1=keras.layers.TimeDistributed(keras.layers.MaxPooling2D(pool_size=(2, 2)))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Dropout(cnn_dropout))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(128,(3,3),activation='relu', padding = 'same'))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Conv2D(128,(3,3),activation='relu', padding = 'same'))(x1)
x1=keras.layers.TimeDistributed(keras.layers.MaxPooling2D(pool_size=(2, 2)))(x1)
x1=keras.layers.TimeDistributed(keras.layers.Dropout(cnn_dropout))(x1)
print(x1.shape)
x1=keras.layers.TimeDistributed(keras.layers.Flatten())(x1)
print(x1.shape)
if concat:
x = keras.layers.Concatenate()([x1,inputB])
else:
x = x1
print(x.shape)
# define LSTM model
x = keras.layers.LSTM(hidden_size,input_shape=(n_timesteps, None),return_sequences=True,recurrent_dropout=rnn_dropout)(x)
x = keras.layers.Flatten()(x)
x = keras.layers.Dense(10,activation="softmax")(x)
model = keras.models.Model(inputs=[inputA,inputB],outputs=x, name = 'cnn_lstm_{}'.format(concat))
opt=tf.keras.optimizers.Adam(lr=5e-4)
model.compile(
optimizer=opt,
loss="sparse_categorical_crossentropy",
metrics=["sparse_categorical_accuracy"],
)
return model
rnn_net = cnn_lstm(n_timesteps = sample, hidden_size = hidden_size,input_size = res, concat = True)
# cnn_net = extended_cnn_one_img(n_timesteps = sample, input_size = res, dropout = cnn_dropout)
# hp = HP()
# hp.save_path = 'saved_runs'
# hp.description = "syclop cifar net search runs"
# hp.this_run_name = 'syclop_{}'.format(rnn_net.name)
# deploy_logs()
train_dataset, test_dataset = create_cifar_dataset(images, labels,res = res,
sample = sample, return_datasets=True,
mixed_state = False, add_seed = 0,
)
#bad_res_func = bad_res101, up_sample = True)
train_dataset_x, train_dataset_y = split_dataset_xy(train_dataset)
test_dataset_x, test_dataset_y = split_dataset_xy(test_dataset)
# print("##################### Fit {} and trajectories model on training data res = {} ##################".format(cnn_net.name,res))
# cnn_history = cnn_net.fit(
# train_dataset_x,
# train_dataset_y,
# batch_size=64,
# epochs=epochs,
# # We pass some validation for
# # monitoring validation loss and metrics
# # at the end of each epoch
# validation_data=(test_dataset_x, test_dataset_y),
# verbose = 0)
# print('################# {} Validation Accuracy = '.format(cnn_net.name),cnn_history.history['val_sparse_categorical_accuracy'])
print("##################### Fit {} and trajectories model on training data res = {} ##################".format(rnn_net.name,res))
rnn_history = rnn_net.fit(
train_dataset_x,
train_dataset_y,
batch_size=64,
epochs=epochs,
# We pass some validation for
# monitoring validation loss and metrics
# at the end of each epoch
validation_data=(test_dataset_x, test_dataset_y),
verbose = 0)
# print('################# {} Validation Accuracy = '.format(cnn_net.name),cnn_history.history['val_sparse_categorical_accuracy'])
# print('################# {} Training Accuracy = '.format(cnn_net.name),rnn_history.history['sparse_categorical_accuracy'])
print('################# {} Validation Accuracy = '.format(rnn_net.name),rnn_history.history['val_sparse_categorical_accuracy'])
print('################# {} Training Accuracy = '.format(rnn_net.name),rnn_history.history['sparse_categorical_accuracy'])
plt.figure()
plt.plot(rnn_history.history['sparse_categorical_accuracy'], label = 'train')
plt.plot(rnn_history.history['val_sparse_categorical_accuracy'], label = 'val')
# plt.plot(cnn_history.history['sparse_categorical_accuracy'], label = 'cnn train')
# plt.plot(cnn_history.history['val_sparse_categorical_accuracy'], label = 'cnn val')
plt.legend()
plt.grid()
plt.title('{} on cifar res = {} hs = {} dropout = {} num samples = {}'.format(rnn_net.name, res, hidden_size,cnn_dropout, sample))
plt.savefig('{} on Cifar res = {}, no upsample, val accur = {} hs = {} dropout = {}.png'.format(rnn_net.name,res,rnn_history.history['val_sparse_categorical_accuracy'][-1], hidden_size,cnn_dropout))
with open('/home/labs/ahissarlab/orra/imagewalker/cifar_net_search/{}HistoryDict{}_{}'.format(rnn_net.name, hidden_size,cnn_dropout), 'wb') as file_pi:
pickle.dump(rnn_history.history, file_pi)
dataset_update(rnn_history, rnn_net,paramaters)
write_to_file(rnn_history, rnn_net,paramaters)
| 143.789474
| 5,586
| 0.682284
| 8,882
| 46,444
| 3.537942
| 0.231029
| 0.011202
| 0.003628
| 0.011584
| 0.469418
| 0.437245
| 0.417356
| 0.401127
| 0.394889
| 0.394889
| 0
| 0.607618
| 0.120489
| 46,444
| 323
| 5,587
| 143.789474
| 0.161673
| 0.853932
| 0
| 0.18705
| 0
| 0
| 0.139312
| 0.057856
| 0
| 0
| 0
| 0
| 0
| 1
| 0.028777
| false
| 0
| 0.100719
| 0
| 0.158273
| 0.064748
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
172871b0e7ec867be29846f855105f3c9e31abaf
| 144
|
py
|
Python
|
cherry/nn/__init__.py
|
acse-yl27218/cherry
|
5b349cae64b282facf5a874164690c06808b1c61
|
[
"Apache-2.0"
] | 160
|
2019-09-14T05:33:29.000Z
|
2022-03-12T18:58:51.000Z
|
cherry/nn/__init__.py
|
acse-yl27218/cherry
|
5b349cae64b282facf5a874164690c06808b1c61
|
[
"Apache-2.0"
] | 14
|
2019-12-05T12:14:05.000Z
|
2022-02-28T14:52:52.000Z
|
cherry/nn/__init__.py
|
acse-yl27218/cherry
|
5b349cae64b282facf5a874164690c06808b1c61
|
[
"Apache-2.0"
] | 28
|
2019-09-17T02:25:46.000Z
|
2022-03-12T19:53:58.000Z
|
#!/usr/bin/env python3
from .init import robotics_init_
from .robotics_layers import RoboticsLinear
from .epsilon_greedy import EpsilonGreedy
| 20.571429
| 43
| 0.833333
| 19
| 144
| 6.105263
| 0.684211
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007813
| 0.111111
| 144
| 6
| 44
| 24
| 0.898438
| 0.145833
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
17738680820320743984fa3e2770dfc03df31cc2
| 83
|
py
|
Python
|
Chapter 05/Chap05_Example5.47.py
|
bpbpublications/Programming-Techniques-using-Python
|
49b785f37e95a3aad1d36cef51e219ac56e5e9f0
|
[
"MIT"
] | null | null | null |
Chapter 05/Chap05_Example5.47.py
|
bpbpublications/Programming-Techniques-using-Python
|
49b785f37e95a3aad1d36cef51e219ac56e5e9f0
|
[
"MIT"
] | null | null | null |
Chapter 05/Chap05_Example5.47.py
|
bpbpublications/Programming-Techniques-using-Python
|
49b785f37e95a3aad1d36cef51e219ac56e5e9f0
|
[
"MIT"
] | null | null | null |
#games module
from Football.goalkeeper import name_goalkeeper
name_goalkeeper()
| 20.75
| 48
| 0.831325
| 10
| 83
| 6.7
| 0.7
| 0.41791
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.120482
| 83
| 3
| 49
| 27.666667
| 0.917808
| 0.144578
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
1788e3eb4a66dc8651ec9cedf05fde603a74872c
| 107
|
py
|
Python
|
enthought/block_canvas/class_tools/search_package.py
|
enthought/etsproxy
|
4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347
|
[
"BSD-3-Clause"
] | 3
|
2016-12-09T06:05:18.000Z
|
2018-03-01T13:00:29.000Z
|
enthought/block_canvas/class_tools/search_package.py
|
enthought/etsproxy
|
4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347
|
[
"BSD-3-Clause"
] | 1
|
2020-12-02T00:51:32.000Z
|
2020-12-02T08:48:55.000Z
|
enthought/block_canvas/class_tools/search_package.py
|
enthought/etsproxy
|
4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347
|
[
"BSD-3-Clause"
] | null | null | null |
# proxy module
from __future__ import absolute_import
from blockcanvas.class_tools.search_package import *
| 26.75
| 52
| 0.859813
| 14
| 107
| 6.071429
| 0.785714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.102804
| 107
| 3
| 53
| 35.666667
| 0.885417
| 0.11215
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| 0
| 0
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| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
bd6b7673d05c7f722ed130c0970699fe0e657a21
| 180
|
py
|
Python
|
src/polls/polls/project/admin.py
|
Valeriu92/Shopping_list
|
3614dfc6691c28cf88db8af77ba246a9c4943794
|
[
"MIT"
] | null | null | null |
src/polls/polls/project/admin.py
|
Valeriu92/Shopping_list
|
3614dfc6691c28cf88db8af77ba246a9c4943794
|
[
"MIT"
] | 6
|
2021-03-19T08:45:06.000Z
|
2021-09-22T19:19:21.000Z
|
src/polls/polls/project/admin.py
|
Valeriu92/Shopping_list
|
3614dfc6691c28cf88db8af77ba246a9c4943794
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from .models import *
# Register your models here.
admin.site.register(Users)
admin.site.register(ShoppingList)
admin.site.register(ShoppingItem)
| 22.5
| 33
| 0.811111
| 24
| 180
| 6.083333
| 0.541667
| 0.184932
| 0.349315
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.094444
| 180
| 7
| 34
| 25.714286
| 0.895706
| 0.144444
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| true
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| null | 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
bd7b119eee1a2e5fb5a816c1b163b600e074a836
| 55
|
py
|
Python
|
django_inlinecss/tests/__init__.py
|
briefmnews/django-inlinecss
|
2d4d3cfb543147debea502598bc1fadce5ec11b1
|
[
"MIT"
] | null | null | null |
django_inlinecss/tests/__init__.py
|
briefmnews/django-inlinecss
|
2d4d3cfb543147debea502598bc1fadce5ec11b1
|
[
"MIT"
] | null | null | null |
django_inlinecss/tests/__init__.py
|
briefmnews/django-inlinecss
|
2d4d3cfb543147debea502598bc1fadce5ec11b1
|
[
"MIT"
] | null | null | null |
from django_inlinecss.tests.test_templatetags import *
| 27.5
| 54
| 0.872727
| 7
| 55
| 6.571429
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.072727
| 55
| 1
| 55
| 55
| 0.901961
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
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| 1
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| 1
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
bd87f0189f7348f8a469b192ca7c10a825cc2fa1
| 95
|
py
|
Python
|
lampions/__init__.py
|
Lampions/lampions
|
dac00e739b6361820f400a3a439dadd5d265c0d7
|
[
"BSD-3-Clause"
] | null | null | null |
lampions/__init__.py
|
Lampions/lampions
|
dac00e739b6361820f400a3a439dadd5d265c0d7
|
[
"BSD-3-Clause"
] | null | null | null |
lampions/__init__.py
|
Lampions/lampions
|
dac00e739b6361820f400a3a439dadd5d265c0d7
|
[
"BSD-3-Clause"
] | null | null | null |
from . import console
from .version import __version__ # noqa
def main():
console.run()
| 13.571429
| 40
| 0.694737
| 12
| 95
| 5.166667
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.210526
| 95
| 6
| 41
| 15.833333
| 0.826667
| 0.042105
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| true
| 0
| 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
| 1
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
bda9a1746f79218c2ab9314175f0e74a63028e6b
| 11,323
|
py
|
Python
|
cloudsmith_cli/cli/commands/tags.py
|
ThomasAdam/cloudsmith-cli
|
c335645bf947381a8f5c287bcc0ca6de7a809bdd
|
[
"Apache-2.0"
] | 19
|
2018-02-14T23:48:27.000Z
|
2022-03-12T20:58:09.000Z
|
cloudsmith_cli/cli/commands/tags.py
|
ThomasAdam/cloudsmith-cli
|
c335645bf947381a8f5c287bcc0ca6de7a809bdd
|
[
"Apache-2.0"
] | 68
|
2017-12-03T04:16:55.000Z
|
2022-03-03T09:45:48.000Z
|
cloudsmith_cli/cli/commands/tags.py
|
ThomasAdam/cloudsmith-cli
|
c335645bf947381a8f5c287bcc0ca6de7a809bdd
|
[
"Apache-2.0"
] | 10
|
2017-12-25T14:36:24.000Z
|
2021-12-10T11:10:59.000Z
|
# -*- coding: utf-8 -*-
"""CLI/Commands - List objects."""
from __future__ import absolute_import, print_function, unicode_literals
from operator import itemgetter
import click
from ...core.api.packages import (
get_package_tags as api_get_package_tags,
tag_package as api_tag_package,
)
from .. import command, decorators, utils, validators
from ..exceptions import handle_api_exceptions
from ..utils import maybe_spinner
from .main import main
def _parse_tags(tags):
"""Parse tags from CSV into a list."""
return [x.strip() for x in (tags or "").split(",")]
def _print_tags(opts, all_tags, all_immutable_tags):
"""Print the tags for a package."""
all_combined_tags = {"tags": all_tags, "tags_immutable": all_immutable_tags}
if utils.maybe_print_as_json(opts, all_combined_tags):
return
headers = ["Tag", "Type", "Immutable"]
rows = []
for tag_type, tags in sorted(all_tags.items(), key=itemgetter(0)):
immutable_tags = all_immutable_tags.get(tag_type) or []
for tag in sorted(tags):
immutable = "Yes" if tag in immutable_tags else "No"
rows.append(
[
click.style(tag, fg="cyan"),
click.style(tag_type, fg="yellow"),
click.style(immutable, fg="magenta"),
]
)
if all_tags:
click.echo()
utils.pretty_print_table(headers, rows)
click.echo()
num_results = len(rows)
list_suffix = "tag%s" % ("s" if num_results != 1 else "")
utils.pretty_print_list_info(num_results=num_results, suffix=list_suffix)
@main.group(name="tags", cls=command.AliasGroup, aliases=["tag"])
@decorators.common_cli_config_options
@decorators.common_cli_output_options
@decorators.common_api_auth_options
@decorators.initialise_api
@click.pass_context
def tags_(ctx, opts): # pylint: disable=unused-argument
"""
Manage the tags for a package in a repository.
See the help for subcommands for more information on each.
"""
@tags_.command(name="list", aliases=["ls"])
@decorators.common_cli_config_options
@decorators.common_cli_output_options
@decorators.common_api_auth_options
@decorators.initialise_api
@click.argument(
"owner_repo_package",
metavar="OWNER/REPO/PACKAGE",
callback=validators.validate_owner_repo_package,
)
@click.pass_context
def list_tags(ctx, opts, owner_repo_package):
"""
List tags for a package in a repository.
This requires appropriate (read) permissions for the package.
- OWNER/REPO/PACKAGE: Specify the OWNER namespace (i.e. user or org), the
REPO name where the package is stored, and the PACKAGE identifier of the
package itself. All separated by a slash.
Example: 'your-org/awesome-repo/better-pkg'.
Full CLI example:
$ cloudsmith tags list your-org/awesome-repo/better-pkg
"""
owner, repo, package = owner_repo_package
click.echo(
"Listing tags for the '%(package)s' package ... "
% {"package": click.style(package, bold=True)},
nl=False,
)
context_msg = "Failed to list tags for the package!"
with handle_api_exceptions(ctx, opts=opts, context_msg=context_msg):
with maybe_spinner(opts):
package_tags, package_tags_immutable = api_get_package_tags(
owner=owner, repo=repo, identifier=package
)
click.secho("OK", fg="green")
_print_tags(opts, package_tags, package_tags_immutable)
@tags_.command(name="add")
@decorators.common_cli_config_options
@decorators.common_cli_output_options
@decorators.common_api_auth_options
@decorators.initialise_api
@click.argument(
"owner_repo_package",
metavar="OWNER/REPO/PACKAGE",
callback=validators.validate_owner_repo_package,
)
@click.argument("tags", metavar="TAGS")
@click.option(
"--immutable",
default=False,
is_flag=True,
help=(
"If true, the tags created will be immutable (cannot be changed). In "
"practice, this means the tags cannot be (easily) deleted. A repository "
"admin can explicitly remove immutable tags."
),
)
@click.pass_context
def add_tags(ctx, opts, owner_repo_package, tags, immutable):
"""
Add tags to a package in a repository.
This requires appropriate (write) permissions for the package.
- OWNER/REPO/PACKAGE: Specify the OWNER namespace (i.e. user or org), the
REPO name where the package is stored, and the PACKAGE identifier of the
package itself. All separated by a slash.
Example: 'your-org/awesome-repo/better-pkg'.
- TAGS: A comma-separated value list of the tags you want to add.
Example: foo,bar
Full CLI example:
$ cloudsmith tags add your-org/awesome-repo/better-pkg foo,bar
"""
owner, repo, package = owner_repo_package
tags = _parse_tags(tags)
click.echo(
"Adding '%(tags)s' tag%(s)s to the '%(package)s' package ... "
% {
"package": click.style(package, bold=True),
"tags": click.style(", ".join(tags or [])),
"s": "s" if len(tags) != 1 else "",
},
nl=False,
)
context_msg = "Failed to add tags to package!"
with handle_api_exceptions(ctx, opts=opts, context_msg=context_msg):
with maybe_spinner(opts):
package_tags, package_tags_immutable = api_tag_package(
owner=owner,
repo=repo,
identifier=package,
data={"action": "add", "tags": tags, "is_immutable": immutable},
)
click.secho("OK", fg="green")
_print_tags(opts, package_tags, package_tags_immutable)
@tags_.command(name="clear")
@decorators.common_cli_config_options
@decorators.common_cli_output_options
@decorators.common_api_auth_options
@decorators.initialise_api
@click.argument(
"owner_repo_package",
metavar="OWNER/REPO/PACKAGE",
callback=validators.validate_owner_repo_package,
)
@click.pass_context
def clear_tags(ctx, opts, owner_repo_package):
"""
Clear all existing (non-immutable) tags from a package in a repository.
This requires appropriate (write) permissions for the package.
- OWNER/REPO/PACKAGE: Specify the OWNER namespace (i.e. user or org), the
REPO name where the package is stored, and the PACKAGE identifier of the
package itself. All separated by a slash.
Example: 'your-org/awesome-repo/better-pkg'.
Full CLI example:
$ cloudsmith tags clear your-org/awesome-repo/better-pkg
"""
owner, repo, package = owner_repo_package
click.echo(
"Clearing tags on the '%(package)s' package ... "
% {"package": click.style(package, bold=True)},
nl=False,
)
context_msg = "Failed to clear tags on package!"
with handle_api_exceptions(ctx, opts=opts, context_msg=context_msg):
with maybe_spinner(opts):
package_tags, package_tags_immutable = api_tag_package(
owner=owner, repo=repo, identifier=package, data={"action": "clear"}
)
click.secho("OK", fg="green")
_print_tags(opts, package_tags, package_tags_immutable)
@tags_.command(name="remove", aliases=["rm"])
@decorators.common_cli_config_options
@decorators.common_cli_output_options
@decorators.common_api_auth_options
@decorators.initialise_api
@click.argument(
"owner_repo_package",
metavar="OWNER/REPO/PACKAGE",
callback=validators.validate_owner_repo_package,
)
@click.argument("tags", metavar="TAGS")
@click.pass_context
def remove_tags(ctx, opts, owner_repo_package, tags):
"""
Remove tags from a package in a repository.
This requires appropriate (write) permissions for the package.
- OWNER/REPO/PACKAGE: Specify the OWNER namespace (i.e. user or org), the
REPO name where the package is stored, and the PACKAGE identifier of the
package itself. All separated by a slash.
Example: 'your-org/awesome-repo/better-pkg'.
- TAGS: A comma-separated value list of the tags you want to remove.
Example: foo,bar
Full CLI example:
$ cloudsmith tags remove your-org/awesome-repo/better-pkg foo,bar
"""
owner, repo, package = owner_repo_package
tags = _parse_tags(tags)
click.echo(
"Removing '%(tags)s' tag%(s)s to the '%(package)s' package ... "
% {
"package": click.style(package, bold=True),
"tags": click.style(", ".join(tags or [])),
"s": "s" if len(tags) != 1 else "",
},
nl=False,
)
context_msg = "Failed to remove tags from package!"
with handle_api_exceptions(ctx, opts=opts, context_msg=context_msg):
with maybe_spinner(opts):
package_tags, package_tags_immutable = api_tag_package(
owner=owner,
repo=repo,
identifier=package,
data={"action": "remove", "tags": tags},
)
click.secho("OK", fg="green")
_print_tags(opts, package_tags, package_tags_immutable)
@tags_.command(name="replace")
@decorators.common_cli_config_options
@decorators.common_cli_output_options
@decorators.common_api_auth_options
@decorators.initialise_api
@click.argument(
"owner_repo_package",
metavar="OWNER/REPO/PACKAGE",
callback=validators.validate_owner_repo_package,
)
@click.argument("tags", metavar="TAGS")
@click.option(
"--immutable",
default=False,
is_flag=True,
help=(
"If true, the tags created will be immutable (cannot be changed). In "
"practice, this means the tags cannot be (easily) deleted. A repository "
"admin can explicitly remove immutable tags."
),
)
@click.pass_context
def replace_tags(ctx, opts, owner_repo_package, tags, immutable):
"""
Replace all existing (non-immutable) tags on a package in a repository.
This requires appropriate (write) permissions for the package.
- OWNER/REPO/PACKAGE: Specify the OWNER namespace (i.e. user or org), the
REPO name where the package is stored, and the PACKAGE identifier of the
package itself. All separated by a slash.
Example: 'your-org/awesome-repo/better-pkg'.
- TAGS: A comma-separated value list of the tags you want to replace existing with.
Example: foo,bar
Full CLI example:
$ cloudsmith tags replace your-org/awesome-repo/better-pkg foo,bar
"""
owner, repo, package = owner_repo_package
tags = _parse_tags(tags)
click.echo(
"Replacing existing with '%(tags)s' tag%(s)s on the '%(package)s' package ... "
% {
"package": click.style(package, bold=True),
"tags": click.style(", ".join(tags or [])),
"s": "s" if len(tags) != 1 else "",
},
nl=False,
)
context_msg = "Failed to replace tags on package!"
with handle_api_exceptions(ctx, opts=opts, context_msg=context_msg):
with maybe_spinner(opts):
package_tags, package_tags_immutable = api_tag_package(
owner=owner,
repo=repo,
identifier=package,
data={"action": "replace", "tags": tags, "is_immutable": immutable},
)
click.secho("OK", fg="green")
_print_tags(opts, package_tags, package_tags_immutable)
| 31.192837
| 87
| 0.666078
| 1,473
| 11,323
| 4.937542
| 0.12831
| 0.049498
| 0.076997
| 0.031624
| 0.799808
| 0.786746
| 0.774508
| 0.765434
| 0.731473
| 0.731473
| 0
| 0.000682
| 0.222821
| 11,323
| 362
| 88
| 31.279006
| 0.825795
| 0.241191
| 0
| 0.624434
| 0
| 0.004525
| 0.159192
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.036199
| false
| 0.027149
| 0.036199
| 0
| 0.081448
| 0.045249
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
bdcc6ad7468791c7a47fc038f3016e03c535f1fc
| 197
|
py
|
Python
|
fluentogram/src/abc/__init__.py
|
Arustinal/fluentogram
|
c3d7b307b40d520ef1db5e2a0945f3d7fe269b78
|
[
"MIT"
] | null | null | null |
fluentogram/src/abc/__init__.py
|
Arustinal/fluentogram
|
c3d7b307b40d520ef1db5e2a0945f3d7fe269b78
|
[
"MIT"
] | null | null | null |
fluentogram/src/abc/__init__.py
|
Arustinal/fluentogram
|
c3d7b307b40d520ef1db5e2a0945f3d7fe269b78
|
[
"MIT"
] | null | null | null |
# coding=utf-8
from .misc import AbstractAttribTracer
from .transformer import AbstractDataTransformer
from .translator import AbstractTranslator
from .translator_hub import AbstractTranslatorsHub
| 32.833333
| 50
| 0.873096
| 20
| 197
| 8.55
| 0.65
| 0.163743
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.005587
| 0.091371
| 197
| 5
| 51
| 39.4
| 0.949721
| 0.060914
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
bdd3722beee7f3a9735cf08fa0cf57f708146d63
| 132
|
py
|
Python
|
train/antpush/environments/ant_maze_env.py
|
MIMUW-RL/spp-rl
|
86b96cdd220cc4eae86f7cfd26924c69b498dcc6
|
[
"MIT"
] | 7
|
2020-06-15T12:25:53.000Z
|
2021-11-03T01:08:47.000Z
|
train/antpush/environments/ant_maze_env.py
|
MIMUW-RL/spp-rl
|
86b96cdd220cc4eae86f7cfd26924c69b498dcc6
|
[
"MIT"
] | null | null | null |
train/antpush/environments/ant_maze_env.py
|
MIMUW-RL/spp-rl
|
86b96cdd220cc4eae86f7cfd26924c69b498dcc6
|
[
"MIT"
] | 1
|
2020-12-21T11:21:22.000Z
|
2020-12-21T11:21:22.000Z
|
from environments.maze_env import MazeEnv
from environments.ant import AntEnv
class AntMazeEnv(MazeEnv):
MODEL_CLASS = AntEnv
| 18.857143
| 41
| 0.810606
| 17
| 132
| 6.176471
| 0.647059
| 0.304762
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.143939
| 132
| 6
| 42
| 22
| 0.929204
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
bdd4db2e43df9f7b67e7a41de13b7d8d81ab3b7c
| 220
|
py
|
Python
|
mysite/myinviteapi/models.py
|
datha88/rest-api-sample-friend-invite
|
1880837f4831c2d867a5a4ac1a176953838fab0d
|
[
"MIT"
] | null | null | null |
mysite/myinviteapi/models.py
|
datha88/rest-api-sample-friend-invite
|
1880837f4831c2d867a5a4ac1a176953838fab0d
|
[
"MIT"
] | null | null | null |
mysite/myinviteapi/models.py
|
datha88/rest-api-sample-friend-invite
|
1880837f4831c2d867a5a4ac1a176953838fab0d
|
[
"MIT"
] | null | null | null |
from django.db import models
# Create your models here.
class Friend(models.Model):
name = models.CharField(max_length=60)
email = models.CharField(max_length=60)
def __str__(self):
return self.name
| 24.444444
| 43
| 0.713636
| 31
| 220
| 4.870968
| 0.677419
| 0.198676
| 0.238411
| 0.317881
| 0.344371
| 0
| 0
| 0
| 0
| 0
| 0
| 0.022472
| 0.190909
| 220
| 8
| 44
| 27.5
| 0.825843
| 0.109091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| false
| 0
| 0.166667
| 0.166667
| 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
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
da3bd0652c70b407476c6f160e8a128d0c51ee92
| 32
|
py
|
Python
|
pyglview/__init__.py
|
weltonrodrigo/python_glview
|
6680601aea5ae67ca8c5ccbf03847e6abc6f270c
|
[
"MIT"
] | 6
|
2019-04-29T05:44:51.000Z
|
2022-01-28T15:31:57.000Z
|
pyglview/__init__.py
|
weltonrodrigo/python_glview
|
6680601aea5ae67ca8c5ccbf03847e6abc6f270c
|
[
"MIT"
] | 1
|
2021-06-12T01:49:10.000Z
|
2021-06-12T01:49:10.000Z
|
pyglview/__init__.py
|
weltonrodrigo/python_glview
|
6680601aea5ae67ca8c5ccbf03847e6abc6f270c
|
[
"MIT"
] | 2
|
2019-12-16T20:34:59.000Z
|
2020-08-24T14:57:50.000Z
|
from pyglview.pyglview import *
| 16
| 31
| 0.8125
| 4
| 32
| 6.5
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.125
| 32
| 1
| 32
| 32
| 0.928571
| 0
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| 0
| 0
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| 0
| 0
| 0
| 1
| 0
| true
| 0
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| 1
| 1
| 0
| null | 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
da590cce76c1f0b75eaa800793b065c606ed64fc
| 62
|
py
|
Python
|
core/models/abstract/__init__.py
|
jcquinlan/colophon
|
96f3eec0a524cb1fe3d655f3cc850b125f4aaff4
|
[
"MIT"
] | null | null | null |
core/models/abstract/__init__.py
|
jcquinlan/colophon
|
96f3eec0a524cb1fe3d655f3cc850b125f4aaff4
|
[
"MIT"
] | null | null | null |
core/models/abstract/__init__.py
|
jcquinlan/colophon
|
96f3eec0a524cb1fe3d655f3cc850b125f4aaff4
|
[
"MIT"
] | null | null | null |
from .user_document_interaction import UserDocumentInteraction
| 62
| 62
| 0.935484
| 6
| 62
| 9.333333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.048387
| 62
| 1
| 62
| 62
| 0.949153
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
da85979a8a85aecc4d586a12af1e63303a1db9ca
| 146
|
py
|
Python
|
qna/admin.py
|
aryaputra28/covidify-PerancanganWeb
|
34d6d0017f44248c172fc58e6e1b138e23e68a95
|
[
"Unlicense"
] | null | null | null |
qna/admin.py
|
aryaputra28/covidify-PerancanganWeb
|
34d6d0017f44248c172fc58e6e1b138e23e68a95
|
[
"Unlicense"
] | null | null | null |
qna/admin.py
|
aryaputra28/covidify-PerancanganWeb
|
34d6d0017f44248c172fc58e6e1b138e23e68a95
|
[
"Unlicense"
] | null | null | null |
from django.contrib import admin
from .models import *
# Register your models here.
admin.site.register(pertanyaan)
admin.site.register(komentar)
| 24.333333
| 32
| 0.808219
| 20
| 146
| 5.9
| 0.6
| 0.152542
| 0.288136
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.10274
| 146
| 5
| 33
| 29.2
| 0.900763
| 0.178082
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
e503f5404abfe29fbefb2c59950b6c8386b55b14
| 5,814
|
py
|
Python
|
Nets/TRNetShared.py
|
AndresOtero/TensorDecompositionMachineLearning
|
455f16b405ec9d031999b0ebf9c5a68d3c20b233
|
[
"MIT"
] | 3
|
2021-06-11T02:46:06.000Z
|
2021-08-17T02:59:30.000Z
|
Nets/TRNetShared.py
|
AndresOtero/TensorDecompositionMachineLearning
|
455f16b405ec9d031999b0ebf9c5a68d3c20b233
|
[
"MIT"
] | null | null | null |
Nets/TRNetShared.py
|
AndresOtero/TensorDecompositionMachineLearning
|
455f16b405ec9d031999b0ebf9c5a68d3c20b233
|
[
"MIT"
] | null | null | null |
import torch
import torch.nn as nn
import torch.nn.functional as F
from Nets.TRNetSerialized import TRNetSerialized
from Nets.TTNetParallel import FirstKernelTensorTrain, FeatureMap, TTKernel
from Nets.TTNetShared import KernelSharedTensorTrain
from Utils import Constant
from Utils.RanksFactory import RanksFactory
from Utils.TensorTools import group_divisions
from torch.nn import Parameter
class LastKernelSharedTensorRing(nn.Module):
def __init__(self, categories, first_rank, m, second_rank, init_value):
super(LastKernelSharedTensorRing, self).__init__()
self.categories = categories
self.first_rank = first_rank
self.m = m
self.second_rank = second_rank
self.weight = Parameter(torch.randn(categories, first_rank, m, second_rank))
self.init_value = init_value
self.reset_parameters()
def reset_parameters(self):
nn.init.xavier_uniform_(self.weight,gain=self.init_value )
def forward(self, input, state):
x = torch.einsum('bj,rbi->rbji', [input, state]) # OuterProduct
x = torch.einsum('cijk,rbji->cbrk', [self.weight, x]) # Mutiply by core
return x
class KernelSharedTensorRing(nn.Module):
def __init__(self, first_rank, m, second_rank, init_value):
super(KernelSharedTensorRing, self).__init__()
self.first_rank = first_rank
self.m = m
self.second_rank = second_rank
self.weight = Parameter(torch.randn(first_rank, m, second_rank))
self.init_value = init_value
self.reset_parameters()
def reset_parameters(self):
nn.init.xavier_uniform_(self.weight,gain=self.init_value )
def forward(self, input, state):
x = torch.einsum('bj,rbi->rbji', [input, state]) # OuterProduct
x = torch.einsum('ijk,rbji->rbk', [self.weight, x]) # Mutiply by core
return x
class TRNetShared(nn.Module):
def __init__(self, net_params):
super(TRNetShared, self).__init__()
self.ranks = RanksFactory.create_tensor_ring_shared_ranks(net_params)
self.kernels = []
self.m = net_params.get_m()
self.n = net_params.get_n()
self.amount_of_divisions = net_params.get_amount_of_divisions()
self.batch_size = net_params.get_batch_size()
self.feature_map = FeatureMap(self.n, self.m, self.amount_of_divisions, self.batch_size)
self.amount_of_divisions = net_params.amount_of_divisions
self.categories = net_params.categories
self.last_kernel = LastKernelSharedTensorRing(self.categories, self.ranks[Constant.SECOND], self.m,
self.ranks[Constant.THIRD], net_params.init_value)
self.shared_kernel = KernelSharedTensorRing(self.ranks[Constant.SECOND], self.m, self.ranks[Constant.THIRD],
net_params.init_value)
def forward(self, tensor):
featured_tensor = self.feature_map(tensor)
division_divided_tensors = group_divisions(featured_tensor, self.amount_of_divisions)
batch_size = tensor.size()[Constant.FIRST]
state = torch.ones(self.ranks[Constant.FIRST], batch_size, self.ranks[Constant.SECOND])
times = division_divided_tensors.size()[Constant.FIRST]
for t in range(0, times):
division_divided_input = division_divided_tensors[t]
state = self.shared_kernel(division_divided_input, state)
pad_input = torch.ones(batch_size, self.m)
state = self.last_kernel(pad_input, state)
state = TRNetSerialized.calculate_traces_serialized(state)
return F.log_softmax(state, dim=1)
def extra_repr(self):
return 'ranks={}'.format(
self.ranks
)
def get_number_of_parameters(self):
for p in self.parameters():
print(p.numel())
self.number = sum(p.numel() for p in self.parameters())
return self.number
class TRNetSharedWithoutFeatureMap(nn.Module):
def __init__(self, net_params):
super(TRNetSharedWithoutFeatureMap, self).__init__()
self.ranks = RanksFactory.create_tensor_ring_shared_ranks(net_params)
self.kernels = []
self.m = net_params.get_m()
self.n = net_params.get_n()
self.amount_of_divisions = net_params.get_amount_of_divisions()
self.batch_size = net_params.get_batch_size()
self.amount_of_divisions = net_params.amount_of_divisions
self.categories = net_params.categories
self.last_kernel = LastKernelSharedTensorRing(self.categories, self.ranks[Constant.SECOND], self.m,
self.ranks[Constant.LAST], net_params.init_value)
self.shared_kernel = KernelSharedTensorRing(self.ranks[Constant.SECOND], self.n, self.ranks[Constant.THIRD],
net_params.init_value)
def forward(self, tensor):
division_divided_tensors = tensor.transpose(0,1)
batch_size = tensor.size()[Constant.FIRST]
state = torch.ones(self.ranks[Constant.FIRST], batch_size, self.ranks[Constant.SECOND])
times = division_divided_tensors.size()[Constant.FIRST]
for t in range(0, times):
division_divided_input = division_divided_tensors[t]
state = self.shared_kernel(division_divided_input, state)
pad_input = torch.ones(batch_size, self.m)
state = self.last_kernel(pad_input, state)
state = TRNetSerialized.calculate_traces_serialized(state)
return state
def extra_repr(self):
return 'ranks={}'.format(
self.ranks
)
def get_number_of_parameters(self):
self.number = sum(p.numel() for p in self.parameters())
return self.number
| 43.066667
| 116
| 0.673891
| 707
| 5,814
| 5.278642
| 0.154173
| 0.048232
| 0.054662
| 0.033762
| 0.78403
| 0.768489
| 0.757503
| 0.757503
| 0.721597
| 0.702304
| 0
| 0.001117
| 0.230134
| 5,814
| 135
| 117
| 43.066667
| 0.832663
| 0.009804
| 0
| 0.654867
| 0
| 0
| 0.01182
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.123894
| false
| 0
| 0.088496
| 0.017699
| 0.318584
| 0.00885
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
e554f5b6e49841dbafd67f8647e1ce20f5fc6e43
| 17
|
py
|
Python
|
test.py
|
HayatoNagasaki/HayatoNagasaki.github.io
|
98ca109f327ad2e079b2143d46487ed60209c83d
|
[
"MIT"
] | 1
|
2019-07-11T01:06:01.000Z
|
2019-07-11T01:06:01.000Z
|
test.py
|
HayatoNagasaki/HayatoNagasaki.github.io
|
98ca109f327ad2e079b2143d46487ed60209c83d
|
[
"MIT"
] | 1
|
2019-07-08T05:28:59.000Z
|
2021-01-14T10:44:49.000Z
|
test.py
|
HayatoNagasaki/HayatoNagasaki.github.io
|
98ca109f327ad2e079b2143d46487ed60209c83d
|
[
"MIT"
] | null | null | null |
print("test.py")
| 8.5
| 16
| 0.647059
| 3
| 17
| 3.666667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.058824
| 17
| 1
| 17
| 17
| 0.6875
| 0
| 0
| 0
| 0
| 0
| 0.411765
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
e560c0065add902aec8b6f052dd6151fd1ebe484
| 291
|
py
|
Python
|
src/__init__.py
|
drkostas/COSC525-Project2
|
a33c786621e6047b0a586c7c3a3b5b85cb51fd6d
|
[
"Apache-2.0"
] | null | null | null |
src/__init__.py
|
drkostas/COSC525-Project2
|
a33c786621e6047b0a586c7c3a3b5b85cb51fd6d
|
[
"Apache-2.0"
] | null | null | null |
src/__init__.py
|
drkostas/COSC525-Project2
|
a33c786621e6047b0a586c7c3a3b5b85cb51fd6d
|
[
"Apache-2.0"
] | null | null | null |
"""Top-level package for COSC525-Project2."""
from .neuron import *
from .fully_connected_layer import *
from .convolutional_layer import *
from .max_pooling_layer import *
from .flatten_layer import *
from .neural_network import *
from .data_generator import *
from .tensor_files import *
| 26.454545
| 45
| 0.786942
| 39
| 291
| 5.641026
| 0.564103
| 0.318182
| 0.272727
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.015748
| 0.127148
| 291
| 10
| 46
| 29.1
| 0.850394
| 0.134021
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
e57aa1c123fef768bea75c45c3ceece7bb3f0440
| 859
|
py
|
Python
|
dxgi_values.py
|
ouroborus/dds_loader
|
2b28d5f58c79473e040a1f755305bf26cfe28d47
|
[
"MIT"
] | null | null | null |
dxgi_values.py
|
ouroborus/dds_loader
|
2b28d5f58c79473e040a1f755305bf26cfe28d47
|
[
"MIT"
] | null | null | null |
dxgi_values.py
|
ouroborus/dds_loader
|
2b28d5f58c79473e040a1f755305bf26cfe28d47
|
[
"MIT"
] | null | null | null |
# BPP and block sizes for all DXGI formats
# Since dxgi formats are enumerated from 0 onward there is no need for dictionary
# if some formats are not suited for storing the value is going to be set to 0
# Sizes are in BYTES
dxgi_pixel_or_block_size = [
0,
16, 16, 16, 16,
12, 12, 12, 12,
8, 8, 8, 8, 8, 8,
8, 8, 8, 8,
8, 8, 8, 8,
4, 4, 4, 4,
4, 4, 4, 4, 4, 4,
4, 4, 4, 4, 4, 4,
4, 4, 4, 4, 4,
4,
4, 4, 4,
2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
1, 1, 1, 1, 1, 1,
0, # DXGI_FORMAT_R1_UNORM ehm >.< ( TODO )
4, 4, 4,
8, 8, 8, # BC1
16, 16, 16, # BC2
16, 16, 16, # BC3
8, 8, 8, # BC4
16, 16, 16, # BC5
2, 2,
4, 4, 4, 4, 4, 4, 4,
16, 16, 16, # BC6
16, 16, 16, # BC7
# TODO Complete the rest
]
dxgi_compressed_formats = [
70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84,
94, 95, 96, 97, 98, 99
]
| 23.216216
| 81
| 0.527357
| 189
| 859
| 2.349206
| 0.407407
| 0.144144
| 0.195946
| 0.234234
| 0.144144
| 0.130631
| 0.130631
| 0.114865
| 0.114865
| 0.114865
| 0
| 0.293132
| 0.305006
| 859
| 37
| 82
| 23.216216
| 0.450586
| 0.355064
| 0
| 0.483871
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.027027
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 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
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
e580b0c306509aee55a5e30612158ccd86541db3
| 23,831
|
py
|
Python
|
cal_metric.py
|
BMEngineeR/single_cell_spatial_image
|
72676556218605907085a81847cb640a0bc460ea
|
[
"MIT"
] | 5
|
2021-04-29T12:45:42.000Z
|
2021-11-06T23:22:07.000Z
|
cal_metric.py
|
OSU-BMBL/single_cell_spatial_image
|
61db0da133787885e9f5f7ecc977df0620b62ad7
|
[
"MIT"
] | 6
|
2021-02-26T12:36:06.000Z
|
2022-02-26T11:44:05.000Z
|
cal_metric.py
|
BMEngineeR/single_cell_spatial_image
|
72676556218605907085a81847cb640a0bc460ea
|
[
"MIT"
] | 6
|
2021-04-20T14:01:14.000Z
|
2021-11-18T20:18:38.000Z
|
import os.path as osp
import pickle
import shutil
import tempfile
import os
import mmcv
import numpy as np
import torch
import torch.distributed as dist
from mmcv.image import tensor2imgs
from mmcv.runner import get_dist_info
import pandas as pd
import json
import cv2
from PIL import Image
from sklearn.metrics.cluster import adjusted_rand_score
import shutil
from sklearn.metrics.cluster import adjusted_rand_score, adjusted_mutual_info_score, fowlkes_mallows_score, rand_score, \
silhouette_score, calinski_harabasz_score, davies_bouldin_score
import math
from mmseg.apis.inference import inference_segmentor
from mmseg.apis.inference import init_segmentor
def testing_metric(img_path, output_folder, model, show_dir, k):
MI_list = []
name_list = []
k_list = []
if k==-1:
for name in os.listdir(img_path):
MI_max = 0
img_name = img_path+name
result = inference_segmentor(model, img_name, k)
out_file=show_dir+name
image_test = cv2.imread(img_name)
MI = cluster_heterogeneity(image_test, result[0], 0)
if MI_max < MI:
MI_max = MI
optimal_name = name
for tmp_k in range(4, 10):
MI_max = 0
img_name = img_path+optimal_name
result = inference_segmentor(model, img_name, tmp_k)
out_file=show_dir+name
model.show_result(
img_name,
result,
palette=None,
show=False,
out_file=out_file)
image_test = cv2.imread(img_name)
if not os.path.exists(output_folder+'result_temp/'):
os.makedirs(output_folder+'result_temp/')
np.savetxt(output_folder+'result_temp/'+name.split('.png')[0]+'.csv', result[0], delimiter=',')
MI = cluster_heterogeneity(image_test, result[0], 0)
if MI_max < MI:
MI_max = MI
optimal_k = tmp_k
result = inference_segmentor(model, img_name, optimal_k)
model.show_result(
img_name,
result,
palette=None,
show=False,
out_file=out_file)
k_list.append(optimal_k)
name_list.append(optimal_name)
MI_list.append(MI_max)
MI_result = {
'name': name_list,
'k':k_list,
'MI': MI_list,
}
MI_result = pd.DataFrame(MI_result)
MI_result = MI_result.sort_values(by=['MI'], ascending=False)
if len(name_list) > 5:
MI_result_top5 = MI_result[0:5]
name = MI_result_top5.iloc[:, 0].values
for n in name:
prefix = n.split('.png')[0]
show = cv2.imread(show_dir + n)
if not os.path.exists(output_folder + 'segmentation_map/'):
os.makedirs(output_folder + 'segmentation_map/')
cv2.imwrite(output_folder + 'segmentation_map/' + n, show)
if not os.path.exists(output_folder+'result/'):
os.makedirs(output_folder+'result/')
shutil.move(output_folder+'result_temp/'+prefix+'.csv', output_folder+'result/'+prefix+'.csv')
# shutil.rmtree(show_dir)
# shutil.rmtree(output_folder+'result_temp/')
MI_result_top5.to_csv(output_folder + 'top5_MI_value.csv', index=True, header=True)
else:
name = MI_result.iloc[:, 0].values
for n in name:
prefix = n.split('.png')[0]
show = cv2.imread(show_dir + n)
if not os.path.exists(output_folder + 'segmentation_map/'):
os.makedirs(output_folder + 'segmentation_map/')
cv2.imwrite(output_folder + 'segmentation_map/' + n, show)
if not os.path.exists(output_folder + 'result/'):
os.makedirs(output_folder + 'result/')
shutil.move(output_folder + 'result_temp/' + prefix + '.csv', output_folder + 'result/' + prefix + '.csv')
shutil.rmtree(show_dir)
shutil.rmtree(output_folder + 'result_temp/')
MI_result.to_csv(output_folder + 'top5_MI_value.csv', index=True, header=True)
top1_name = MI_result.iloc[:, 0].values[0]
top1_csv_name = output_folder + 'result/' + top1_name.split('.png')[0] + '.csv'
top1_category_map = np.loadtxt(top1_csv_name,dtype=np.int32, delimiter=",")
else:
for name in os.listdir(img_path):
img_name = img_path+name
name_list.append(name)
result = inference_segmentor(model, img_name, k)
out_file=show_dir+name
print(out_file)
model.show_result(
img_name,
result,
palette=None,
show=False,
out_file=out_file)
image_test = cv2.imread(img_name)
if not os.path.exists(output_folder+'result_temp/'):
os.makedirs(output_folder+'result_temp/')
np.savetxt(output_folder+'result_temp/'+name.split('.png')[0]+'.csv', result[0], delimiter=',')
MI = cluster_heterogeneity(image_test, result[0], 0)
MI_list.append(MI)
MI_result = {
'name': name_list,
'MI': MI_list,
}
MI_result = pd.DataFrame(MI_result)
MI_result = MI_result.sort_values(by=['MI'], ascending=False)
if len(name_list) > 5:
MI_result_top5 = MI_result[0:5]
# print(MI_result_top5)
name = MI_result_top5.iloc[:, 0].values
for n in name:
prefix = n.split('.png')[0]
show = cv2.imread(show_dir + n)
if not os.path.exists(output_folder + 'segmentation_map/'):
os.makedirs(output_folder + 'segmentation_map/')
cv2.imwrite(output_folder + 'segmentation_map/' + n, show)
if not os.path.exists(output_folder+'result/'):
os.makedirs(output_folder+'result/')
shutil.move(output_folder+'result_temp/'+prefix+'.csv', output_folder+'result/'+prefix+'.csv')
# shutil.rmtree(show_dir)
# shutil.rmtree(output_folder+'result_temp/')
MI_result_top5.to_csv(output_folder + 'top5_MI_value.csv', index=True, header=True)
else:
name = MI_result.iloc[:, 0].values
for n in name:
prefix = n.split('.png')[0]
show = cv2.imread(show_dir + n)
if not os.path.exists(output_folder + 'segmentation_map/'):
os.makedirs(output_folder + 'segmentation_map/')
cv2.imwrite(output_folder + 'segmentation_map/' + n, show)
if not os.path.exists(output_folder + 'result/'):
os.makedirs(output_folder + 'result/')
shutil.move(output_folder + 'result_temp/' + prefix + '.csv', output_folder + 'result/' + prefix + '.csv')
shutil.rmtree(show_dir)
shutil.rmtree(output_folder + 'result_temp/')
MI_result.to_csv(output_folder + 'top5_MI_value.csv', index=True, header=True)
top1_name = MI_result.iloc[:, 0].values[0]
top1_csv_name = output_folder + 'result/' + top1_name.split('.png')[0] + '.csv'
top1_category_map = np.loadtxt(top1_csv_name,dtype=np.int32, delimiter=",")
# shutil.rmtree(output_folder + 'result/')
return top1_category_map
def evaluation_metric(adata, img_path, output_folder, model, show_dir, label_path, k):
MI_list = []
name_list = []
ARI_list = []
AMI_list = []
FMI_list = []
RI_list = []
k_list = []
if k == -1:
for name in os.listdir(img_path):
MI_max = 0
img_name = img_path+name
result = inference_segmentor(model, img_name, k)
out_file=show_dir+name
image_test = cv2.imread(img_name)
MI = cluster_heterogeneity(image_test, result[0], 0)
if MI_max < MI:
MI_max = MI
optimal_name = name
for tmp_k in range(4, 10):
MI_max = 0
img_name = img_path+optimal_name
result = inference_segmentor(model, img_name, tmp_k)
out_file=show_dir+name
model.show_result(
img_name,
result,
palette=None,
show=False,
out_file=out_file)
image_test = cv2.imread(img_name)
if not os.path.exists(output_folder+'result_temp/'):
os.makedirs(output_folder+'result_temp/')
np.savetxt(output_folder+'result_temp/'+name.split('.png')[0]+'.csv', result[0], delimiter=',')
MI = cluster_heterogeneity(image_test, result[0], 0)
name0, ARI, AMI, FMI, RI = calculate(adata, result[0], img_name, label_path)
if MI_max < MI:
MI_max = MI
optimal_k = tmp_k
optimal_ARI = ARI
optimal_MI = MI
optimal_AMI = AMI
optimal_FMI = FMI
optimal_RI = RI
result = inference_segmentor(model, img_name, optimal_k)
model.show_result(
img_name,
result,
palette=None,
show=False,
out_file=out_file)
k_list.append(optimal_k)
name_list.append(optimal_name)
MI_list.append(optimal_MI)
ARI_list.append(optimal_ARI)
AMI_list.append(optimal_AMI)
FMI_list.append(optimal_FMI)
RI_list.append(optimal_RI)
MI_result = {
'name': name_list,
'k':k_list,
"ARI": ARI_list,
"AMI": AMI_list,
"FMI": FMI_list,
"RI": RI_list,
'MI': MI_list,
}
MI_result = pd.DataFrame(MI_result)
MI_result = MI_result.sort_values(by=['MI'], ascending=False)
if len(name_list) > 5:
MI_result_top5 = MI_result[0:5]
# print(MI_result_top5)
name = MI_result_top5.iloc[:, 0].values
for n in name:
prefix = n.split('.png')[0]
show = cv2.imread(show_dir + n)
if not os.path.exists(output_folder + 'segmentation_map/'):
os.makedirs(output_folder + 'segmentation_map/')
cv2.imwrite(output_folder + 'segmentation_map/' + n, show)
if not os.path.exists(output_folder+'result/'):
os.makedirs(output_folder+'result/')
shutil.move(output_folder+'result_temp/'+prefix+'.csv', output_folder+'result/'+prefix+'.csv')
shutil.rmtree(show_dir)
shutil.rmtree(output_folder+'result_temp/')
MI_result_top5.to_csv(output_folder + 'top5_MI_value.csv', index=True, header=True)
else:
name = MI_result.iloc[:, 0].values
for n in name:
prefix = n.split('.png')[0]
show = cv2.imread(show_dir + n)
if not os.path.exists(output_folder + 'segmentation_map/'):
os.makedirs(output_folder + 'segmentation_map/')
cv2.imwrite(output_folder + 'segmentation_map/' + n, show)
if not os.path.exists(output_folder + 'result/'):
os.makedirs(output_folder + 'result/')
shutil.move(output_folder + 'result_temp/' + prefix + '.csv', output_folder + 'result/' + prefix + '.csv')
shutil.rmtree(show_dir)
shutil.rmtree(output_folder + 'result_temp/')
MI_result.to_csv(output_folder + 'top5_MI_value.csv', index=True, header=True)
top1_name = MI_result.iloc[:, 0].values[0]
top1_csv_name = output_folder + 'result/' + top1_name.split('.png')[0] + '.csv'
top1_category_map = np.loadtxt(top1_csv_name,dtype=np.int32, delimiter=",")
shutil.rmtree(output_folder + 'result/')
else:
for name in os.listdir(img_path):
img_name = img_path+name
name_list.append(name)
result = inference_segmentor(model, img_name, k)
name0, ARI, AMI, FMI, RI = calculate(adata, result[0], img_name, label_path)
ARI_list.append(ARI)
AMI_list.append(AMI)
FMI_list.append(FMI)
RI_list.append(RI)
# print(result[0])
print(img_name)
out_file=show_dir+name
# print(out_file)
model.show_result(
img_name,
result,
palette=None,
show=False,
out_file=out_file)
image_test = cv2.imread(img_name)
if not os.path.exists(output_folder+'result_temp/'):
os.makedirs(output_folder+'result_temp/')
np.savetxt(output_folder+'result_temp/'+name.split('.png')[0]+'.csv', result[0], delimiter=',')
MI = cluster_heterogeneity(image_test, result[0], 0)
MI_list.append(MI)
MI_result = {
'name': name_list,
"ARI": ARI_list,
"AMI": AMI_list,
"FMI": FMI_list,
"RI": RI_list,
'MI': MI_list,
}
MI_result = pd.DataFrame(MI_result)
MI_result = MI_result.sort_values(by=['MI'], ascending=False)
if len(name_list) > 5:
MI_result_top5 = MI_result[0:5]
# print(MI_result_top5)
name = MI_result_top5.iloc[:, 0].values
for n in name:
prefix = n.split('.png')[0]
show = cv2.imread(show_dir + n)
if not os.path.exists(output_folder + 'segmentation_map/'):
os.makedirs(output_folder + 'segmentation_map/')
cv2.imwrite(output_folder + 'segmentation_map/' + n, show)
if not os.path.exists(output_folder+'result/'):
os.makedirs(output_folder+'result/')
shutil.move(output_folder+'result_temp/'+prefix+'.csv', output_folder+'result/'+prefix+'.csv')
shutil.rmtree(show_dir)
shutil.rmtree(output_folder+'result_temp/')
MI_result_top5.to_csv(output_folder + 'top5_MI_value.csv', index=True, header=True)
else:
name = MI_result.iloc[:, 0].values
for n in name:
prefix = n.split('.png')[0]
show = cv2.imread(show_dir + n)
if not os.path.exists(output_folder + 'segmentation_map/'):
os.makedirs(output_folder + 'segmentation_map/')
cv2.imwrite(output_folder + 'segmentation_map/' + n, show)
if not os.path.exists(output_folder + 'result/'):
os.makedirs(output_folder + 'result/')
shutil.move(output_folder + 'result_temp/' + prefix + '.csv', output_folder + 'result/' + prefix + '.csv')
shutil.rmtree(show_dir)
shutil.rmtree(output_folder + 'result_temp/')
MI_result.to_csv(output_folder + 'top5_MI_value.csv', index=True, header=True)
top1_name = MI_result.iloc[:, 0].values[0]
top1_csv_name = output_folder + 'result/' + top1_name.split('.png')[0] + '.csv'
top1_category_map = np.loadtxt(top1_csv_name,dtype=np.int32, delimiter=",")
shutil.rmtree(output_folder + 'result/')
return top1_category_map
def cluster_heterogeneity(image_test, category_map, background_category):
if len(category_map.shape) > 2:
category_map = cv2.cvtColor(category_map, cv2.COLOR_BGR2GRAY)
category_list = np.unique(category_map)
W = np.zeros((len(category_list), len(category_list)))
for i in range(category_map.shape[0]):
flag1 = category_map[i][0]
flag2 = category_map[0][i]
for j in range(category_map.shape[0]):
if category_map[i][j] != flag1: # for row
index1 = np.where(category_list == flag1)[0][0]
index2 = np.where(category_list == category_map[i][j])[0][0]
W[index1][index2] = 1
W[index2][index1] = 1
flag1 = category_map[i][j]
if category_map[j][i] != flag2: # for column
index1 = np.where(category_list == flag2)[0][0]
index2 = np.where(category_list == category_map[j][i])[0][0]
W[index1][index2] = 1
W[index2][index1] = 1
flag2 = category_map[j][i]
W = W[1:, 1:] #
# print(W)
category_num = W.shape[0]
# print(R.shape)
MI_list = []
image_test_ori = image_test
# Calculate the average color value of each channel in each cluster
for channel in range(3):
image_test = image_test_ori[:, :, channel]
# print(image_test)
num = 0
gray_list = []
gray_mean = 0
for category in category_list:
pixel_x, pixel_y = np.where(category_map == category)
if category == background_category:
num = len(pixel_x)
continue
gray = []
for i in range(len(pixel_x)):
gray.append(image_test[pixel_x[i], pixel_y[i]])
gray_value = np.mean(gray)
gray_list.append(gray_value)
gray_mean += gray_value * len(pixel_x)
gray_mean = gray_mean / (image_test.shape[0] ** 2 - num)
n = W.shape[0]
a = 0
b = 0
for p in range(n):
index, = np.where(W[p] == 1)
for q in range(len(index)):
a += abs((gray_list[p] - gray_mean) * (gray_list[index[q]] - gray_mean))
b += (gray_list[p] - gray_mean) ** 2
MI = n * a / (b * np.sum(W))
MI_list.append(MI)
# print(MI_list)
MI = math.sqrt((MI_list[0] ** 2 + MI_list[1] ** 2 + MI_list[2] ** 2) / 3)
# print(MI)
return MI
def calculate(adata, output, img_path, label_path):
img_name = img_path.split('/')[-1] # eg:151507_50_32_....png
samples_num = img_name.split('_')[0] # eg:151507
labels = save_spot_RGB_to_image(label_path, adata) # label
label = labels.flatten().tolist()
output = np.array(output).flatten().tolist()
# print('len(output)',len(output))
label_final = []
output_final = []
shape = adata.uns["img_shape"]
for i in range(shape ** 2):
if label[i] != 0:
label_final.append(label[i])
output_final.append(output[i])
ARI = adjusted_rand_score(label_final, output_final)
AMI = adjusted_mutual_info_score(label_final, output_final)
FMI = fowlkes_mallows_score(label_final, output_final)
RI = rand_score(label_final, output_final)
print('name', img_name)
print('ARI:', ARI)
return img_name, ARI, AMI, FMI, RI
def save_spot_RGB_to_image(label_path, adata):
# data_file = os.path.join(data_folder, expression_file)
X = pd.read_csv(label_path)
X = X.sort_values(by=['barcode'])
# print(X)
# print(adata.obs)
assert all(adata.obs.index == X.iloc[:, 0].values)
layers = X.iloc[:, 1].values
# print(layers)
spot_row = adata.obs["pxl_col_in_fullres"]
spot_col = adata.obs["pxl_row_in_fullres"]
radius = int(0.5 * adata.uns['fiducial_diameter_fullres'] + 1)
# radius = int(scaler['spot_diameter_fullres'] + 1)
max_row = max_col = int((2000 / adata.uns['tissue_hires_scalef']) + 1)
# radius = round(radius * (600 / 2000))
# max_row = np.max(spot_row)
# max_col = np.max(spot_col)
img = np.zeros(shape=(max_row + 1, max_col + 1), dtype=np.int)
img = img.astype(np.uint8)
for index in range(len(layers)):
if layers[index] == 'Layer1':
# print('layer1')
# img[spot_row[index], spot_col[index]] = [0,0,255]
img[(spot_row[index] - radius):(spot_row[index] + radius),
(spot_col[index] - radius):(spot_col[index] + radius)] = 1
# print(img[spot_row[index],spot_col[index]])
# cv2.circle(img,(spot_row[index], spot_col[index]),radius,(0,0,255),thickness=-1)
elif layers[index] == 'Layer2':
img[(spot_row[index] - radius):(spot_row[index] + radius),
(spot_col[index] - radius):(spot_col[index] + radius)] = 2
# img[spot_row[index], spot_col[index]] = [0,255,0]
# cv2.circle(img,(spot_row[index], spot_col[index]),radius,(0,255,0),thickness=-1)
# print(img[spot_row[index],spot_col[index]])
elif layers[index] == 'Layer3':
img[(spot_row[index] - radius):(spot_row[index] + radius),
(spot_col[index] - radius):(spot_col[index] + radius)] = 3
# img[spot_row[index], spot_col[index]] = [255,0,0]
# cv2.circle(img,(spot_row[index], spot_col[index]),radius,(255,0,0),thickness=-1)
elif layers[index] == 'Layer4':
img[(spot_row[index] - radius):(spot_row[index] + radius),
(spot_col[index] - radius):(spot_col[index] + radius)] = 4
# img[spot_row[index], spot_col[index]] = [255,0,255]
# cv2.circle(img,(spot_row[index], spot_col[index]),radius,(255,0,255),thickness=-1)
elif layers[index] == 'Layer5':
img[(spot_row[index] - radius):(spot_row[index] + radius),
(spot_col[index] - radius):(spot_col[index] + radius)] = 5
# img[spot_row[index], spot_col[index]] = [0,255,255]
# cv2.circle(img,(spot_row[index], spot_col[index]),radius,(0,255,255),thickness=-1)
elif layers[index] == 'Layer6':
img[(spot_row[index] - radius):(spot_row[index] + radius),
(spot_col[index] - radius):(spot_col[index] + radius)] = 6
# img[spot_row[index], spot_col[index]] = [255,255,0]
# cv2.circle(img,(spot_row[index], spot_col[index]),radius,(255,255,0),thickness=-1)
elif layers[index] == 'WM':
img[(spot_row[index] - radius):(spot_row[index] + radius),
(spot_col[index] - radius):(spot_col[index] + radius)] = 7
# img[spot_row[index], spot_col[index]] = [0,0,0]
# cv2.circle(img,(spot_row[index], spot_col[index]),radius,(0,0,0),thickness=-1)
shape = adata.uns["img_shape"]
label_img = cv2.resize(img, dsize=(shape, shape), interpolation=cv2.INTER_NEAREST)
return label_img
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| 123
| 0.537745
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0
| 5
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e59674284af4fef611fde876735095fbdeedb812
| 538
|
py
|
Python
|
Working folder/refactored/Player_Ability.py
|
rschnek/SpaceShooterRemix
|
7e667183e770679d593f46b119780ad72f4e3135
|
[
"MIT"
] | null | null | null |
Working folder/refactored/Player_Ability.py
|
rschnek/SpaceShooterRemix
|
7e667183e770679d593f46b119780ad72f4e3135
|
[
"MIT"
] | null | null | null |
Working folder/refactored/Player_Ability.py
|
rschnek/SpaceShooterRemix
|
7e667183e770679d593f46b119780ad72f4e3135
|
[
"MIT"
] | null | null | null |
import pygame
from os import path
import constants as con
class ability:
def __init__(self):
self.__power = 1
self.__power_timer = pygame.time.get_ticks()
def powerdown(self):
if pygame.time.get_ticks() - self.__power_timer > con.poweruptime:
self.__power -= 1
self.__power_timer = pygame.time.get_ticks()
def powerup(self):
self.__power += 1
self.__power_timer = pygame.time.get_ticks()
def get_Power(self):
return self.__power
| 24.454545
| 74
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0
| 5
|
e59c0f14387bcc428f3ef596243e548882b04d5f
| 54
|
py
|
Python
|
spotifymoods/__init__.py
|
ammar-oker/spotifymoods
|
b5f24e48cc6f17fdbf42001e3e5ec00606b07f5c
|
[
"MIT"
] | null | null | null |
spotifymoods/__init__.py
|
ammar-oker/spotifymoods
|
b5f24e48cc6f17fdbf42001e3e5ec00606b07f5c
|
[
"MIT"
] | null | null | null |
spotifymoods/__init__.py
|
ammar-oker/spotifymoods
|
b5f24e48cc6f17fdbf42001e3e5ec00606b07f5c
|
[
"MIT"
] | null | null | null |
from .train import train
from .predict import predict
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|
0
| 5
|
e5ac1349e31fac2f5f5e8ce25f69ca68f7e752f0
| 28
|
py
|
Python
|
pyiArduinoI2Cmotor/__init__.py
|
tremaru/pyiArduinoI2Cmotor
|
5e83c4ab1beaf6041663f4399028a5d3f5fa3f56
|
[
"MIT"
] | null | null | null |
pyiArduinoI2Cmotor/__init__.py
|
tremaru/pyiArduinoI2Cmotor
|
5e83c4ab1beaf6041663f4399028a5d3f5fa3f56
|
[
"MIT"
] | null | null | null |
pyiArduinoI2Cmotor/__init__.py
|
tremaru/pyiArduinoI2Cmotor
|
5e83c4ab1beaf6041663f4399028a5d3f5fa3f56
|
[
"MIT"
] | null | null | null |
name = "pyiArduinoI2Cmotor"
| 14
| 27
| 0.785714
| 2
| 28
| 11
| 1
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|
0
| 5
|
e5e10452d84b6a103a29913ec774bc796c7a58d7
| 35
|
py
|
Python
|
spartan/examples/sklearn/linear_model/__init__.py
|
GabrielWen/spartan
|
ce3bf7f2bb551d7f996a1884acef819b620cc854
|
[
"Apache-2.0"
] | 156
|
2015-01-10T21:54:25.000Z
|
2021-10-17T14:13:57.000Z
|
spartan/examples/sklearn/linear_model/__init__.py
|
GabrielWen/spartan
|
ce3bf7f2bb551d7f996a1884acef819b620cc854
|
[
"Apache-2.0"
] | 8
|
2015-01-05T16:34:18.000Z
|
2015-12-11T08:12:28.000Z
|
spartan/examples/sklearn/linear_model/__init__.py
|
GabrielWen/spartan
|
ce3bf7f2bb551d7f996a1884acef819b620cc854
|
[
"Apache-2.0"
] | 24
|
2015-01-10T21:55:48.000Z
|
2021-04-14T08:09:34.000Z
|
from .base import LinearRegression
| 17.5
| 34
| 0.857143
| 4
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|
0
| 5
|
e5f31ec7b6d809900feb1de6c282c008dc5ae47f
| 50
|
py
|
Python
|
tools/onnx2daq/python/onnx2daq/__init__.py
|
Anon-Artist/DNNLibrary
|
6e38a880a90c28ff238a80f44c7d35ffd3eedae8
|
[
"Apache-2.0"
] | 199
|
2019-02-14T05:44:27.000Z
|
2022-03-29T09:48:35.000Z
|
tools/onnx2daq/python/onnx2daq/__init__.py
|
Anon-Artist/DNNLibrary
|
6e38a880a90c28ff238a80f44c7d35ffd3eedae8
|
[
"Apache-2.0"
] | 26
|
2019-02-18T07:18:17.000Z
|
2021-05-29T11:42:08.000Z
|
tools/onnx2daq/python/onnx2daq/__init__.py
|
Anon-Artist/DNNLibrary
|
6e38a880a90c28ff238a80f44c7d35ffd3eedae8
|
[
"Apache-2.0"
] | 33
|
2019-02-16T09:23:46.000Z
|
2022-02-19T07:24:22.000Z
|
from .convert import convert, simplify_and_convert
| 50
| 50
| 0.88
| 7
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| 6
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| 1
| 0
|
0
| 5
|
f9284a1ac61f4a6059d5ca4e4682380e4ddcc7d0
| 138
|
py
|
Python
|
dorado/__init__.py
|
kbarnhart/dorado
|
8404dc75bcab13ab1461babd3ac2d5517f85addb
|
[
"MIT"
] | null | null | null |
dorado/__init__.py
|
kbarnhart/dorado
|
8404dc75bcab13ab1461babd3ac2d5517f85addb
|
[
"MIT"
] | null | null | null |
dorado/__init__.py
|
kbarnhart/dorado
|
8404dc75bcab13ab1461babd3ac2d5517f85addb
|
[
"MIT"
] | 1
|
2020-10-28T16:31:49.000Z
|
2020-10-28T16:31:49.000Z
|
__version__ = "2.1.0"
from . import lagrangian_walker
from . import parallel_routing
from . import particle_track
from . import routines
| 19.714286
| 31
| 0.789855
| 19
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| 0
| 1
| 0
|
0
| 5
|
00713394d9a02776069fee7dd690f0cf04c87b6f
| 268
|
py
|
Python
|
perform/rom/nonintrusive_rom/autoencoder_rom/autoencoder_koopman/pan2020.py
|
cwentland0/perform
|
e08771cb776a7e6518c43350746e2ca72f79b153
|
[
"MIT"
] | 6
|
2021-03-24T21:42:06.000Z
|
2022-01-28T20:00:13.000Z
|
perform/rom/nonintrusive_rom/autoencoder_rom/autoencoder_koopman/pan2020.py
|
cwentland0/perform
|
e08771cb776a7e6518c43350746e2ca72f79b153
|
[
"MIT"
] | 38
|
2021-04-15T15:30:21.000Z
|
2022-01-29T01:23:57.000Z
|
perform/rom/nonintrusive_rom/autoencoder_rom/autoencoder_koopman/pan2020.py
|
cwentland0/perform
|
e08771cb776a7e6518c43350746e2ca72f79b153
|
[
"MIT"
] | 1
|
2021-07-03T03:13:36.000Z
|
2021-07-03T03:13:36.000Z
|
from perform.rom.nonintrusive_rom.autoencoder_rom.autoencoder_koopman.autoencoder_koopman import AutoencoderKoopman
class AEKoopmanPan2020(AutoencoderKoopman):
"""Class implementing the continuous-time variant of the autoencoder Koopman method by Pan (2020)."""
| 44.666667
| 115
| 0.839552
| 30
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| 7.366667
| 0.666667
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|
0
| 5
|
008ea17d2b213c089ac3b3ac243e948fd9b56366
| 4,837
|
py
|
Python
|
epytope/Data/pssms/arb/mat/A_0203_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/arb/mat/A_0203_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/arb/mat/A_0203_9.py
|
christopher-mohr/epytope
|
8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd
|
[
"BSD-3-Clause"
] | 4
|
2021-05-28T08:50:38.000Z
|
2022-03-14T11:45:32.000Z
|
A_0203_9 = {0: {'A': 0.10204317968289706, 'C': -0.13691712115186927, 'E': -0.801906817305166, 'D': -0.8225967811119382, 'G': 0.11878824300296573, 'F': 0.9807481728927135, 'I': -0.08975052529873016, 'H': -0.46728943474294626, 'K': -0.01635051504420257, 'M': 0.13635490849258533, 'L': 0.29716182243116734, 'N': -0.1286542528765269, 'Q': -0.22532226558777754, 'P': -0.8157353525058761, 'S': 0.04830718247501479, 'R': -0.4139337673856644, 'T': -0.24763654544865543, 'W': -0.021527526172074474, 'V': -0.03137707240956574, 'Y': 0.6643862587620629}, 1: {'A': -0.54949356374825, 'C': -0.8117744894320461, 'E': -1.0743765866104174, 'D': -1.061760905698326, 'G': -0.9308617213690403, 'F': -0.932347794466434, 'I': 0.323520392704971, 'H': -1.1273491231541024, 'K': -1.1879585122200325, 'M': 1.1481619061051433, 'L': 1.5407733671618127, 'N': -0.7055969164687933, 'Q': -0.1890056209633594, 'P': -1.2571661594664847, 'S': -0.87614894680028, 'R': -1.109929073073095, 'T': -0.5318477027332926, 'W': -0.9675691383410863, 'V': -0.16187691341759808, 'Y': -1.2398545581322644}, 2: {'A': 0.24290299933218903, 'C': 0.04723930441586608, 'E': -0.6496701326245561, 'D': -0.4946524897631653, 'G': -0.41022468732501594, 'F': 0.2905502247349859, 'I': 0.12012242513926548, 'H': 0.01064708381446897, 'K': -0.21789481823035867, 'M': 0.4338393474707017, 'L': -0.08077762024804472, 'N': 0.3216772052094605, 'Q': -0.16162942542270664, 'P': 0.03696701843183928, 'S': 0.31994843965675096, 'R': -0.4981739332080992, 'T': -0.13299870072639222, 'W': -0.11307072353574531, 'V': 0.020445108310871943, 'Y': 0.4967935293649042}, 3: {'A': 0.20699761767603636, 'C': 0.48842025345696677, 'E': 0.19404838402004712, 'D': 0.45033075416711604, 'G': 0.19440196578838168, 'F': -0.24497841826451822, 'I': -0.05917739556527642, 'H': -0.20982550013390275, 'K': -0.23616575677187762, 'M': -0.2977624141600084, 'L': -0.2683806660697341, 'N': 0.08404468367645503, 'Q': -0.14857218716372908, 'P': -0.21397471181100178, 'S': 0.34199621146412756, 'R': -0.2631053807694868, 'T': -0.05308558508059852, 'W': -0.3300697932490994, 'V': -0.4707400600782509, 'Y': 0.15754531045307651}, 4: {'A': -0.10212301390856257, 'C': 0.06536695915267256, 'E': -0.1886608639881943, 'D': 0.06484362870301151, 'G': 0.005010623789248809, 'F': 0.12300943645851675, 'I': -0.004004490492481512, 'H': 0.21015501986123333, 'K': -0.09724305996957416, 'M': 0.08494093216578519, 'L': 0.09811065269205965, 'N': -0.1965332152613238, 'Q': -0.15518521233824856, 'P': -0.3816905157559997, 'S': -0.08932565945163161, 'R': -0.40727115109856377, 'T': 0.2784626404936263, 'W': 0.200773012824807, 'V': 0.06145451483780586, 'Y': 0.635717398722066}, 5: {'A': -0.2580044361911012, 'C': 0.17942452883353013, 'E': -0.4443287705395302, 'D': -0.41075658381696095, 'G': -0.2607903518786664, 'F': 0.16947698794235327, 'I': 0.5634868047540258, 'H': -0.36343574273467755, 'K': -0.5852253370849595, 'M': 0.29088306160708877, 'L': 0.6443176398328498, 'N': -0.28451514587707233, 'Q': -0.09060691523811505, 'P': -0.2894914381485486, 'S': 0.08350992967587026, 'R': -0.5521680944493348, 'T': -0.030859956901080756, 'W': -0.5146675121506715, 'V': 0.41617534690626434, 'Y': 0.037858704640756996}, 6: {'A': 0.5232920403386511, 'C': 0.2058508297174797, 'E': -0.25219796859268373, 'D': -0.1234154740200415, 'G': -0.12939740070395714, 'F': 0.11263107182513618, 'I': -0.13598800943358744, 'H': 0.12253261744142137, 'K': -0.33235717584736746, 'M': 0.13345788573190864, 'L': -0.009249204948599784, 'N': -0.24132226603454482, 'Q': -0.16250846821916767, 'P': 0.014394516273535085, 'S': 0.21337296803616956, 'R': -0.5746846121007303, 'T': 0.413108330497925, 'W': -0.18770217396592426, 'V': -0.1752219121738958, 'Y': -0.033673771208459144}, 7: {'A': 0.036566500965322574, 'C': -0.27974891711982197, 'E': -0.051651718593687286, 'D': -0.26228426010481537, 'G': 0.1287677133627596, 'F': 0.15999363902553837, 'I': -0.31835436041766746, 'H': -0.006466141376958506, 'K': -0.29841280452954366, 'M': -0.02642297637225856, 'L': 0.2334394485403842, 'N': -0.06299828223004916, 'Q': -0.17268540496120088, 'P': 0.012357211703997149, 'S': 0.15124585787160916, 'R': -0.1879296582440065, 'T': 0.2968258933516108, 'W': 0.30133389544879363, 'V': -0.5142472089384342, 'Y': 0.21903442086984154}, 8: {'A': 0.639050023202892, 'C': -0.7028491322053141, 'E': -0.9914677282497425, 'D': -1.2717919380745935, 'G': -0.6582341134954846, 'F': -1.0439932301792096, 'I': 0.47329427574977373, 'H': -1.1339509382702664, 'K': -1.2024078639898832, 'M': -0.4415333100600978, 'L': 0.16990162993385377, 'N': -0.9872677354495493, 'Q': -0.9695839752794148, 'P': -0.6781766520609745, 'S': -0.16931392427765923, 'R': -1.0583443697619022, 'T': -0.17970374194511513, 'W': -1.1640627432346589, 'V': 1.5395564940661135, 'Y': -1.1731219124757624}, -1: {'slope': 0.11621320737700856, 'intercept': -0.3854461610547183}}
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| 4,837
| 4,837
| 0.043702
| 0
| 0
| 0
| 0
| 0
| 0.040099
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 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
| 5
|
00a753995530ed233571990c7c8b39d19248bee2
| 140
|
py
|
Python
|
src/inheritance_polimorfism/persona.py
|
Edilberto-Vazquez/OOP-Python
|
f49f2c1acfd9fdb3a81ab32c390daa637cabf648
|
[
"MIT"
] | null | null | null |
src/inheritance_polimorfism/persona.py
|
Edilberto-Vazquez/OOP-Python
|
f49f2c1acfd9fdb3a81ab32c390daa637cabf648
|
[
"MIT"
] | null | null | null |
src/inheritance_polimorfism/persona.py
|
Edilberto-Vazquez/OOP-Python
|
f49f2c1acfd9fdb3a81ab32c390daa637cabf648
|
[
"MIT"
] | null | null | null |
class Persona:
def __init__(self, nombre) -> None:
self.nombre = nombre
def avanza(self):
print('Ando caminando')
| 17.5
| 39
| 0.6
| 16
| 140
| 5
| 0.6875
| 0.25
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.285714
| 140
| 7
| 40
| 20
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0.1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| false
| 0
| 0
| 0
| 0.6
| 0.2
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 5
|
00bae0f0aa8493c91230dc6537df0e5893832ac3
| 52
|
py
|
Python
|
pyno/nodes/identity.py
|
cgarjun/Pyno
|
fa2a5d57fb926564f5acc0e6c7310de255bab531
|
[
"MIT"
] | 163
|
2015-12-29T02:28:04.000Z
|
2022-02-02T02:18:28.000Z
|
pyno/nodes/identity.py
|
cgarjun/Pyno
|
fa2a5d57fb926564f5acc0e6c7310de255bab531
|
[
"MIT"
] | 42
|
2017-12-19T15:31:54.000Z
|
2019-09-21T20:14:06.000Z
|
pyno/nodes/identity.py
|
cgarjun/Pyno
|
fa2a5d57fb926564f5acc0e6c7310de255bab531
|
[
"MIT"
] | 34
|
2017-09-23T09:08:56.000Z
|
2021-09-16T23:49:24.000Z
|
def identity(x=None):
return x
call = identity
| 10.4
| 21
| 0.673077
| 8
| 52
| 4.375
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.230769
| 52
| 4
| 22
| 13
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0.333333
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
00cfe0d27bc976505ef7a9527b8a821fce771c1d
| 150
|
py
|
Python
|
lib/JumpScale/baselib/watchdog/manager/__init__.py
|
Jumpscale/jumpscale6_core
|
0502ddc1abab3c37ed982c142d21ea3955d471d3
|
[
"BSD-2-Clause"
] | 1
|
2015-10-26T10:38:13.000Z
|
2015-10-26T10:38:13.000Z
|
lib/JumpScale/baselib/watchdog/manager/__init__.py
|
Jumpscale/jumpscale6_core
|
0502ddc1abab3c37ed982c142d21ea3955d471d3
|
[
"BSD-2-Clause"
] | null | null | null |
lib/JumpScale/baselib/watchdog/manager/__init__.py
|
Jumpscale/jumpscale6_core
|
0502ddc1abab3c37ed982c142d21ea3955d471d3
|
[
"BSD-2-Clause"
] | null | null | null |
from JumpScale import j
from .WatchdogFactory import *
j.base.loader.makeAvailable(j, 'tools.watchdog')
j.tools.watchdog.manager=WatchdogFactory()
| 18.75
| 48
| 0.793333
| 19
| 150
| 6.263158
| 0.578947
| 0.117647
| 0.235294
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.093333
| 150
| 7
| 49
| 21.428571
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0.093333
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
00df3b2db24d8dfe2a752be5d3c2ea7f1bbee333
| 223
|
py
|
Python
|
backend/Ehaat/details/admin.py
|
shuttlesworthNEO/HackIIITD-fSociety
|
5d3e50322162f4cfd655290cdcd298533987996b
|
[
"MIT"
] | null | null | null |
backend/Ehaat/details/admin.py
|
shuttlesworthNEO/HackIIITD-fSociety
|
5d3e50322162f4cfd655290cdcd298533987996b
|
[
"MIT"
] | null | null | null |
backend/Ehaat/details/admin.py
|
shuttlesworthNEO/HackIIITD-fSociety
|
5d3e50322162f4cfd655290cdcd298533987996b
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from .models import Haat, Stall, Rating, Product
# Register your models here.
admin.site.register(Haat)
admin.site.register(Stall)
admin.site.register(Rating)
admin.site.register(Product)
| 22.3
| 48
| 0.798206
| 32
| 223
| 5.5625
| 0.4375
| 0.202247
| 0.382022
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.098655
| 223
| 9
| 49
| 24.777778
| 0.885572
| 0.116592
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 0
| 0
| 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
| 5
|
da96c8d0b5790f26e29860edfaab83ca4c76b04c
| 274
|
py
|
Python
|
sample.py
|
tmy310/aws_util
|
d3f49099706f239c1039b7ededd41b4de63bfb73
|
[
"MIT"
] | null | null | null |
sample.py
|
tmy310/aws_util
|
d3f49099706f239c1039b7ededd41b4de63bfb73
|
[
"MIT"
] | 1
|
2020-03-29T06:23:20.000Z
|
2020-03-29T06:23:20.000Z
|
sample.py
|
tmy310/aws_util
|
d3f49099706f239c1039b7ededd41b4de63bfb73
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
from libs.cloud_formation_stack_resource_checker import CloudFormationStackResourceChecker
cloud_formation_stack_resource_checker = CloudFormationStackResourceChecker()
print(cloud_formation_stack_resource_checker.get_stack_and_resource_count())
| 34.25
| 91
| 0.872263
| 29
| 274
| 7.689655
| 0.551724
| 0.188341
| 0.255605
| 0.363229
| 0.457399
| 0
| 0
| 0
| 0
| 0
| 0
| 0.003891
| 0.062044
| 274
| 7
| 92
| 39.142857
| 0.863813
| 0.076642
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0.333333
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
dab0e6323421a3aea4c254b4a72550f557156f41
| 56
|
py
|
Python
|
myself.py
|
febycloud/PROG8420
|
147b4877a33221b93c9a74f90819c397179f7332
|
[
"MIT"
] | null | null | null |
myself.py
|
febycloud/PROG8420
|
147b4877a33221b93c9a74f90819c397179f7332
|
[
"MIT"
] | null | null | null |
myself.py
|
febycloud/PROG8420
|
147b4877a33221b93c9a74f90819c397179f7332
|
[
"MIT"
] | null | null | null |
import sample
print('what is your name')
print(sample.d)
| 18.666667
| 26
| 0.767857
| 10
| 56
| 4.3
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.107143
| 56
| 3
| 27
| 18.666667
| 0.86
| 0
| 0
| 0
| 0
| 0
| 0.298246
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 0.666667
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
|
0
| 5
|
dadb84725f965ceb0d440e96ae59bc095140ff91
| 128
|
py
|
Python
|
Code/YOLO/darkflow/darkflow/utils/im_transform.py
|
kalvin-osoro/ml_project
|
bf0bdc5719f2712682dd070045a5f1edf933a0c4
|
[
"Apache-2.0"
] | null | null | null |
Code/YOLO/darkflow/darkflow/utils/im_transform.py
|
kalvin-osoro/ml_project
|
bf0bdc5719f2712682dd070045a5f1edf933a0c4
|
[
"Apache-2.0"
] | null | null | null |
Code/YOLO/darkflow/darkflow/utils/im_transform.py
|
kalvin-osoro/ml_project
|
bf0bdc5719f2712682dd070045a5f1edf933a0c4
|
[
"Apache-2.0"
] | null | null | null |
version https://git-lfs.github.com/spec/v1
oid sha256:834d7828e80c45d2160d52eeeefc97a2432c512b24b89422f604edf52f3d667a
size 895
| 32
| 75
| 0.882813
| 13
| 128
| 8.692308
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.401639
| 0.046875
| 128
| 3
| 76
| 42.666667
| 0.52459
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
dafaac4260b03a784e5a2bbeabdd300085af3fb8
| 74
|
py
|
Python
|
diehard/e_vars.py
|
skyshy0707/diehard
|
a6aaf47c728939606158f8d124d6edd7e12ef761
|
[
"BSL-1.0"
] | null | null | null |
diehard/e_vars.py
|
skyshy0707/diehard
|
a6aaf47c728939606158f8d124d6edd7e12ef761
|
[
"BSL-1.0"
] | null | null | null |
diehard/e_vars.py
|
skyshy0707/diehard
|
a6aaf47c728939606158f8d124d6edd7e12ef761
|
[
"BSL-1.0"
] | null | null | null |
SECRET_KEY='0nk#k)hck^)6y6*+%4(&r$ew+mhubb!trj-cz_0oturh48p*+y'
DEBUG=True
| 37
| 63
| 0.72973
| 16
| 74
| 3.25
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.09589
| 0.013514
| 74
| 2
| 64
| 37
| 0.616438
| 0
| 0
| 0
| 0
| 0.5
| 0.666667
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
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| 0
| null | 0
| 0
| 0
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| 0
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| 0
| 0
| 0
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| 0
| 1
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| 0
| 0
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| 1
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
972f8ed6b2d100533532ffdbd0b3aa1f19d0289c
| 12,825
|
py
|
Python
|
C_Tut/tutorials/views.py
|
jaydeep11/C-tutorial-web-application
|
3ec0225efda834fe93a678d887044906124de59b
|
[
"MIT"
] | null | null | null |
C_Tut/tutorials/views.py
|
jaydeep11/C-tutorial-web-application
|
3ec0225efda834fe93a678d887044906124de59b
|
[
"MIT"
] | null | null | null |
C_Tut/tutorials/views.py
|
jaydeep11/C-tutorial-web-application
|
3ec0225efda834fe93a678d887044906124de59b
|
[
"MIT"
] | null | null | null |
from django.shortcuts import render, redirect
from django.http import HttpResponse, HttpResponseRedirect
from django.template.loader import render_to_string
from django.contrib.auth.decorators import login_required
from django.views.decorators.cache import never_cache
from home.models import CPerson,student
from django.contrib.auth.models import User
from .models import Tutorial
# Create your views here
#tut_list=['Program structure','Basic Syntax','Datatypes','variables','Storage classes','Operators','Decision making','Loops','Functions','Scope rules','Arrays','Pointers','String','Structures','Unions','Bit Fields','Typedef','Input/Output','File I/O','Preprocessors','Header Files','Type casting','Error Handling','Recurssion','Variable Arguments','Memory management','Command Line Argument']
#@login_required(redirect_field_name='login')
@never_cache
def stu_home(request):
if request.user.is_authenticated:
try:
cperson=CPerson.objects.get(user=request.user)
except:
return HttpResponse("You're not allowed to view this page.........")
if cperson.type=='student':
activeuser=student.objects.get(cperson=cperson)
s="stu"
if request.user.is_active and s=="stu":
stu=True
tut_list=Tutorial.objects.all()
context={
'stu_first_name': request.user.first_name,
'stu_last_name': request.user.last_name,
'stu_email': request.user.email,
'stu_collagename': activeuser.collage_name,
'stu_progress': activeuser.progress,
'tut_list':tut_list,
'stu':stu,
}
return render(request,'tutorials/stu_home.html',context)
else:
return redirect('accounts:login')
def show_tutorial(request,tutorial_id):
tut=True
if request.user.is_authenticated:
try:
cperson=CPerson.objects.get(user=request.user)
except:
return HttpResponse("You're not allowed to view this page.........")
if cperson.type=='student':
activeuser=student.objects.get(cperson=cperson)
s="stu"
if request.user.is_active and s=="stu":
tut_list=Tutorial.objects.all()
tutorial=Tutorial.objects.get(pk=tutorial_id)
tut_name=tutorial.name
temp_name=tutorial.html_name
pre_tut=get_pretut(tut_id=tutorial_id)
next_tut=get_nexttut(tut_id=tutorial_id)
preid=pre_tut.id
nextid=next_tut.id
pre_link = str(preid)
next_link = str(nextid)
stu_progress=activeuser.progress
enable=True
if is_progresstemplate(tutorial_id,stu_progress):
enable=False
context={
'tut_id':tutorial_id,
'tut_name':tut_name,
'pre_link':pre_link,
'next_link':next_link,
'tut_list':tut_list,
'stu_progress': stu_progress,
'enable':enable,
'tut':tut,
}
return render(request,temp_name,context)
else:
return redirect('accounts:login')
def get_pretut(tut_id):
if tut_id==1:
return Tutorial.objects.get(pk=1)
while True:
tut_id=tut_id-1
pre_tut=Tutorial.objects.filter(pk=tut_id).first()
if pre_tut:
return pre_tut
def get_nexttut(tut_id):
while True:
tut_id=tut_id+1
next_tut=Tutorial.objects.filter(pk=tut_id).first()
if next_tut:
return next_tut
def is_progresstemplate(tut_id,progress):
c=0
temp_id=1
while temp_id<=tut_id:
if Tutorial.objects.filter(pk=temp_id).first():
c=c+1
temp_id=temp_id+1
if c==progress:
return True
else:
return False
def arithmetic_example(request):
if request.user.is_authenticated:
try:
cperson=CPerson.objects.get(user=request.user)
except:
return HttpResponse("You're not allowed to view this page.........")
if cperson.type=='student':
activeuser=student.objects.get(cperson=cperson)
s="stu"
if request.user.is_active and s=="stu":
tut_list=Tutorial.objects.all()
temp_name="tutorials/arithmetic_example.html"
context={
'tut_list':tut_list,
'stu_progress': activeuser.progress,
}
return render(request,temp_name,context)
else:
return redirect('accounts:login')
def relational_example(request):
if request.user.is_authenticated:
try:
cperson=CPerson.objects.get(user=request.user)
except:
return HttpResponse("You're not allowed to view this page.........")
if cperson.type=='student':
activeuser=student.objects.get(cperson=cperson)
s="stu"
if request.user.is_active and s=="stu":
tut_list=Tutorial.objects.all()
temp_name="tutorials/relational_example.html"
context={
'tut_list':tut_list,
'stu_progress': activeuser.progress,
}
return render(request,temp_name,context)
else:
return redirect('accounts:login')
def logical_example(request):
if request.user.is_authenticated:
try:
cperson=CPerson.objects.get(user=request.user)
except:
return HttpResponse("You're not allowed to view this page.........")
if cperson.type=='student':
activeuser=student.objects.get(cperson=cperson)
s="stu"
if request.user.is_active and s=="stu":
tut_list=Tutorial.objects.all()
temp_name="tutorials/logical_example.html"
context={
'tut_list':tut_list,
'stu_progress': activeuser.progress,
}
return render(request,temp_name,context)
else:
return redirect('accounts:login')
def bitwise_example(request):
if request.user.is_authenticated:
try:
cperson=CPerson.objects.get(user=request.user)
except:
return HttpResponse("You're not allowed to view this page.........")
if cperson.type=='student':
activeuser=student.objects.get(cperson=cperson)
s="stu"
if request.user.is_active and s=="stu":
tut_list=Tutorial.objects.all()
temp_name="tutorials/bitwise_example.html"
context={
'tut_list':tut_list,
'stu_progress': activeuser.progress,
}
return render(request,temp_name,context)
else:
return redirect('accounts:login')
def assignment_example(request):
if request.user.is_authenticated:
try:
cperson=CPerson.objects.get(user=request.user)
except:
return HttpResponse("You're not allowed to view this page.........")
if cperson.type=='student':
activeuser=student.objects.get(cperson=cperson)
s="stu"
if request.user.is_active and s=="stu":
tut_list=Tutorial.objects.all()
temp_name="tutorials/assignment_example.html"
context={
'tut_list':tut_list,
'stu_progress': activeuser.progress,
}
return render(request,temp_name,context)
else:
return redirect('accounts:login')
def misc_example(request):
if request.user.is_authenticated:
try:
cperson=CPerson.objects.get(user=request.user)
except:
return HttpResponse("You're not allowed to view this page.........")
if cperson.type=='student':
activeuser=student.objects.get(cperson=cperson)
s="stu"
if request.user.is_active and s=="stu":
tut_list=Tutorial.objects.all()
temp_name="tutorials/misc_example.html"
context={
'tut_list':tut_list,
'stu_progress': activeuser.progress,
}
return render(request,temp_name,context)
else:
return redirect('accounts:login')
def precedence_example(request):
if request.user.is_authenticated:
try:
cperson=CPerson.objects.get(user=request.user)
except:
return HttpResponse("You're not allowed to view this page.........")
if cperson.type=='student':
activeuser=student.objects.get(cperson=cperson)
s="stu"
if request.user.is_active and s=="stu":
tut_list=Tutorial.objects.all()
temp_name="tutorials/precedence_example.html"
context={
'tut_list':tut_list,
'stu_progress': activeuser.progress,
}
return render(request,temp_name,context)
else:
return redirect('accounts:login')
def if_statement(request):
if request.user.is_authenticated:
try:
cperson=CPerson.objects.get(user=request.user)
except:
return HttpResponse("You're not allowed to view this page.........")
if cperson.type=='student':
activeuser=student.objects.get(cperson=cperson)
s="stu"
if request.user.is_active and s=="stu":
tut_list=Tutorial.objects.all()
temp_name="tutorials/if_statement.html"
context={
'tut_list':tut_list,
'stu_progress': activeuser.progress,
}
return render(request,temp_name,context)
else:
return redirect('accounts:login')
def ifelse_statement(request):
if request.user.is_authenticated:
try:
cperson=CPerson.objects.get(user=request.user)
except:
return HttpResponse("You're not allowed to view this page.........")
if cperson.type=='student':
activeuser=student.objects.get(cperson=cperson)
s="stu"
if request.user.is_active and s=="stu":
tut_list=Tutorial.objects.all()
temp_name="tutorials/ifelse_statement.html"
context={
'tut_list':tut_list,
'stu_progress': activeuser.progress,
}
return render(request,temp_name,context)
else:
return redirect('accounts:login')
def nestedif_statement(request):
if request.user.is_authenticated:
try:
cperson=CPerson.objects.get(user=request.user)
except:
return HttpResponse("You're not allowed to view this page.........")
if cperson.type=='student':
activeuser=student.objects.get(cperson=cperson)
s="stu"
if request.user.is_active and s=="stu":
tut_list=Tutorial.objects.all()
temp_name="tutorials/nestedif_statement.html"
context={
'tut_list':tut_list,
'stu_progress': activeuser.progress,
}
return render(request,temp_name,context)
else:
return redirect('accounts:login')
def switch_statement(request):
if request.user.is_authenticated:
try:
cperson=CPerson.objects.get(user=request.user)
except:
return HttpResponse("You're not allowed to view this page.........")
if cperson.type=='student':
activeuser=student.objects.get(cperson=cperson)
s="stu"
if request.user.is_active and s=="stu":
tut_list=Tutorial.objects.all()
temp_name="tutorials/switch_statement.html"
context={
'tut_list':tut_list,
'stu_progress': activeuser.progress,
}
return render(request,temp_name,context)
else:
return redirect('accounts:login')
def nestedswitch_statement(request):
if request.user.is_authenticated:
try:
cperson=CPerson.objects.get(user=request.user)
except:
return HttpResponse("You're not allowed to view this page.........")
if cperson.type=='student':
activeuser=student.objects.get(cperson=cperson)
s="stu"
if request.user.is_active and s=="stu":
tut_list=Tutorial.objects.all()
temp_name="tutorials/nestedswitch_statement.html"
context={
'tut_list':tut_list,
'stu_progress': activeuser.progress,
}
return render(request,temp_name,context)
else:
return redirect('accounts:login')
| 37.066474
| 393
| 0.589708
| 1,425
| 12,825
| 5.160702
| 0.101053
| 0.06731
| 0.049497
| 0.057112
| 0.759451
| 0.753739
| 0.75034
| 0.739326
| 0.739326
| 0.728991
| 0
| 0.00089
| 0.299259
| 12,825
| 346
| 394
| 37.066474
| 0.817403
| 0.035712
| 0
| 0.694444
| 0
| 0
| 0.144209
| 0.032433
| 0
| 0
| 0
| 0
| 0
| 1
| 0.052469
| false
| 0
| 0.024691
| 0
| 0.222222
| 0
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| null | 0
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| 1
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| 1
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| null | 0
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| 0
| 0
| 0
| 0
|
0
| 5
|
973d1b5356acbed0a6077bf8229582c98e28ac4c
| 177
|
py
|
Python
|
icon-pycon/home/<USERNAME>/Desktop/DTbkp.d/1-SAVING/SAVE_desktop_layout.py
|
moof-moof/Icon-pycon
|
3f14af7d0a3e30bea1b67ea6c34ff71c9ebedcf8
|
[
"Unlicense"
] | null | null | null |
icon-pycon/home/<USERNAME>/Desktop/DTbkp.d/1-SAVING/SAVE_desktop_layout.py
|
moof-moof/Icon-pycon
|
3f14af7d0a3e30bea1b67ea6c34ff71c9ebedcf8
|
[
"Unlicense"
] | null | null | null |
icon-pycon/home/<USERNAME>/Desktop/DTbkp.d/1-SAVING/SAVE_desktop_layout.py
|
moof-moof/Icon-pycon
|
3f14af7d0a3e30bea1b67ea6c34ff71c9ebedcf8
|
[
"Unlicense"
] | null | null | null |
import sys
sys.path.append('/home/user/path/to/0-defs/')
# sys.path.append('/home/xneb/Skrivbord/DTbkp.d/0-defs/')
import icons_pycons
icons_pycons.SAVE_current_layout()
| 13.615385
| 57
| 0.740113
| 29
| 177
| 4.37931
| 0.62069
| 0.110236
| 0.204724
| 0.267717
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.012346
| 0.084746
| 177
| 12
| 58
| 14.75
| 0.771605
| 0.310734
| 0
| 0
| 0
| 0
| 0.220339
| 0.220339
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
974c8da6edc73ac8e72215e9d759fa65c00213a0
| 26
|
py
|
Python
|
cphttp/__init__.py
|
computePods/simpleHttpReloadServer
|
81dee9128a7e3b1a397378d89f7f76835e120720
|
[
"Apache-2.0"
] | null | null | null |
cphttp/__init__.py
|
computePods/simpleHttpReloadServer
|
81dee9128a7e3b1a397378d89f7f76835e120720
|
[
"Apache-2.0"
] | null | null | null |
cphttp/__init__.py
|
computePods/simpleHttpReloadServer
|
81dee9128a7e3b1a397378d89f7f76835e120720
|
[
"Apache-2.0"
] | null | null | null |
from .cphttp import cphttp
| 26
| 26
| 0.846154
| 4
| 26
| 5.5
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.115385
| 26
| 1
| 26
| 26
| 0.956522
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
975e3531e40dee1ce2f945f944351cd7dfba2e8c
| 117
|
py
|
Python
|
lightreid/models/architectures/__init__.py
|
nataliamiccini/light-reid
|
1bd823849e4a40c9a17497bb7d7ec6097635f4d6
|
[
"MIT"
] | 296
|
2020-07-20T02:11:34.000Z
|
2022-03-27T12:42:11.000Z
|
lightreid/models/architectures/__init__.py
|
nataliamiccini/light-reid
|
1bd823849e4a40c9a17497bb7d7ec6097635f4d6
|
[
"MIT"
] | 33
|
2020-08-27T03:20:43.000Z
|
2022-03-14T11:25:07.000Z
|
lightreid/models/architectures/__init__.py
|
nataliamiccini/light-reid
|
1bd823849e4a40c9a17497bb7d7ec6097635f4d6
|
[
"MIT"
] | 61
|
2020-07-20T06:19:22.000Z
|
2022-03-28T07:10:39.000Z
|
from .build import ARCHs_REGISTRY
from .base_arch import BaseReIDModel
from .reduction_arch import ReductionReIDModel
| 39
| 46
| 0.880342
| 15
| 117
| 6.666667
| 0.666667
| 0.2
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.094017
| 117
| 3
| 46
| 39
| 0.943396
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
975feafbb3d220a6ca357a35f22233d761a71bf9
| 31
|
py
|
Python
|
tests/__init__.py
|
cercos/masonite
|
f7f220efa7fae833683e9f07ce13c3795a87d3b8
|
[
"MIT"
] | 1,816
|
2018-02-14T01:59:51.000Z
|
2022-03-31T17:09:20.000Z
|
tests/__init__.py
|
cercos/masonite
|
f7f220efa7fae833683e9f07ce13c3795a87d3b8
|
[
"MIT"
] | 340
|
2018-02-11T00:27:26.000Z
|
2022-03-21T12:00:24.000Z
|
tests/__init__.py
|
cercos/masonite
|
f7f220efa7fae833683e9f07ce13c3795a87d3b8
|
[
"MIT"
] | 144
|
2018-03-18T00:08:16.000Z
|
2022-02-26T01:51:58.000Z
|
from .TestCase import TestCase
| 15.5
| 30
| 0.83871
| 4
| 31
| 6.5
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.129032
| 31
| 1
| 31
| 31
| 0.962963
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
9774e07a56017bb3a9a3d7425a808039862c2b58
| 13
|
py
|
Python
|
json_editor/ui/__init__.py
|
eyalk11/json-editor
|
3a865ee04befaee3c258adacf22a15cbabfe2753
|
[
"MIT"
] | 7
|
2019-07-31T22:26:44.000Z
|
2021-03-31T07:38:31.000Z
|
tool_dock/ui/__init__.py
|
rBrenick/tool-dock
|
cedd012bcdb138f10982f74ab6a1d10cbc50cb15
|
[
"MIT"
] | null | null | null |
tool_dock/ui/__init__.py
|
rBrenick/tool-dock
|
cedd012bcdb138f10982f74ab6a1d10cbc50cb15
|
[
"MIT"
] | 5
|
2019-07-31T06:59:55.000Z
|
2021-10-17T23:27:00.000Z
|
# content
| 2.6
| 9
| 0.538462
| 1
| 13
| 7
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.384615
| 13
| 4
| 10
| 3.25
| 0.875
| 0.538462
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
977e62242d714831dab5e11c9d9d90c83359ac05
| 43
|
py
|
Python
|
crypt_interface/driver_interfaces/exceptions.py
|
xyder/crypt-interface
|
ade60389dab5e47c786ccc9fee783b14f338e207
|
[
"MIT"
] | null | null | null |
crypt_interface/driver_interfaces/exceptions.py
|
xyder/crypt-interface
|
ade60389dab5e47c786ccc9fee783b14f338e207
|
[
"MIT"
] | null | null | null |
crypt_interface/driver_interfaces/exceptions.py
|
xyder/crypt-interface
|
ade60389dab5e47c786ccc9fee783b14f338e207
|
[
"MIT"
] | null | null | null |
class DriverException(Exception):
pass
| 14.333333
| 33
| 0.767442
| 4
| 43
| 8.25
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.162791
| 43
| 2
| 34
| 21.5
| 0.916667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.5
| 0
| 0
| 0.5
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
97c13a11e20c33272886d8a9d47cf19a001f5c55
| 107
|
py
|
Python
|
api/constants.py
|
python-discord/code-jam-management
|
b6b91357f0afa69f875336917a72ea771eb13556
|
[
"MIT"
] | 6
|
2021-06-07T17:29:23.000Z
|
2022-02-25T23:36:16.000Z
|
api/constants.py
|
python-discord/code-jam-management
|
b6b91357f0afa69f875336917a72ea771eb13556
|
[
"MIT"
] | 4
|
2021-09-04T13:53:40.000Z
|
2021-12-30T23:13:59.000Z
|
api/constants.py
|
python-discord/code-jam-management
|
b6b91357f0afa69f875336917a72ea771eb13556
|
[
"MIT"
] | 2
|
2021-06-07T17:18:15.000Z
|
2021-06-14T19:32:33.000Z
|
from decouple import config
DATABASE_URL = config("DATABASE_URL")
LOG_LEVEL = config("LOG_LEVEL", "INFO")
| 21.4
| 39
| 0.766355
| 15
| 107
| 5.2
| 0.6
| 0.358974
| 0.435897
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.11215
| 107
| 4
| 40
| 26.75
| 0.821053
| 0
| 0
| 0
| 0
| 0
| 0.233645
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
97c69078a7ae6ebe2e0737e89806854c5deb0cda
| 3,999
|
py
|
Python
|
src/genie/libs/parser/nxos/tests/ShowIpv6RipRouteVrfAll/cli/equal/golden_output_2_expected.py
|
balmasea/genieparser
|
d1e71a96dfb081e0a8591707b9d4872decd5d9d3
|
[
"Apache-2.0"
] | 204
|
2018-06-27T00:55:27.000Z
|
2022-03-06T21:12:18.000Z
|
src/genie/libs/parser/nxos/tests/ShowIpv6RipRouteVrfAll/cli/equal/golden_output_2_expected.py
|
balmasea/genieparser
|
d1e71a96dfb081e0a8591707b9d4872decd5d9d3
|
[
"Apache-2.0"
] | 468
|
2018-06-19T00:33:18.000Z
|
2022-03-31T23:23:35.000Z
|
src/genie/libs/parser/nxos/tests/ShowIpv6RipRouteVrfAll/cli/equal/golden_output_2_expected.py
|
balmasea/genieparser
|
d1e71a96dfb081e0a8591707b9d4872decd5d9d3
|
[
"Apache-2.0"
] | 309
|
2019-01-16T20:21:07.000Z
|
2022-03-30T12:56:41.000Z
|
expected_output = {
'vrf': {
'default': {
'address_family': {
'ipv4': {
'instance': {
'rip-1': {
'routes': {
'2001:10:12:120::/64': {
'best_route': False,
'index': {
1: {
'expire_time': '00:02:58',
'interface': 'Ethernet1/2.120',
'metric': 2,
'next_hop': 'fe80::f816:3eff:fe8f:fbd9',
'tag': 0,
},
},
'next_hops': 1,
},
'2001:10:13:120::/64': {
'best_route': True,
'index': {
1: {
'interface': 'Ethernet1/2.120',
'metric': 1,
'next_hop': '2001:10:13:120::3',
'route_type': 'connected',
'tag': 0,
},
},
'next_hops': 0,
},
'2001:10:23:120::/64': {
'best_route': True,
'index': {
1: {
'interface': 'Ethernet1/1.120',
'metric': 1,
'next_hop': '2001:10:23:120::3',
'route_type': 'connected',
'tag': 0,
},
},
'next_hops': 0,
},
'2001:1:1:1::1/128': {
'best_route': False,
'index': {
1: {
'expire_time': '00:02:58',
'interface': 'Ethernet1/2.120',
'metric': 2,
'next_hop': 'fe80::f816:3eff:fe8f:fbd9',
'tag': 0,
},
},
'next_hops': 1,
},
'2001:3:3:3::3/128': {
'best_route': True,
'index': {
1: {
'interface': 'loopback0',
'metric': 1,
'next_hop': '2001:3:3:3::3',
'route_type': 'connected',
'tag': 0,
},
},
'next_hops': 0,
},
},
},
},
},
},
},
},
}
| 47.607143
| 84
| 0.15954
| 170
| 3,999
| 3.623529
| 0.276471
| 0.019481
| 0.064935
| 0.097403
| 0.831169
| 0.788961
| 0.743506
| 0.668831
| 0.668831
| 0.480519
| 0
| 0.163836
| 0.749687
| 3,999
| 83
| 85
| 48.180723
| 0.451548
| 0
| 0
| 0.493827
| 0
| 0
| 0.162372
| 0.012509
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
c165a2d6078e507a40ef86207575d3eefb0da508
| 289
|
py
|
Python
|
test/tests/intmethods.py
|
kevinxucs/pyston
|
bdb87c1706ac74a0d15d9bc2bae53798678a5f14
|
[
"Apache-2.0"
] | 1
|
2015-11-06T03:39:51.000Z
|
2015-11-06T03:39:51.000Z
|
test/tests/intmethods.py
|
kevinxucs/pyston
|
bdb87c1706ac74a0d15d9bc2bae53798678a5f14
|
[
"Apache-2.0"
] | null | null | null |
test/tests/intmethods.py
|
kevinxucs/pyston
|
bdb87c1706ac74a0d15d9bc2bae53798678a5f14
|
[
"Apache-2.0"
] | null | null | null |
# can't try large numbers yet due to lack of long
for i in xrange(1, 100):
for j in xrange(1, 100):
print i.__divmod__(j)
for i in xrange(1, 12):
for j in xrange(1, 12):
print i | j
print i & j
print i ^ j
print 1 ** 0
print 0 ** 0
print -1 ** 0
| 18.0625
| 49
| 0.546713
| 57
| 289
| 2.701754
| 0.385965
| 0.207792
| 0.233766
| 0.233766
| 0.506494
| 0.168831
| 0.168831
| 0
| 0
| 0
| 0
| 0.10582
| 0.346021
| 289
| 15
| 50
| 19.266667
| 0.708995
| 0.16263
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.636364
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
c1aeb94e32529b20eed44693cf5cf6e8db8c7b4a
| 199
|
py
|
Python
|
pyot/utils/tft/routing.py
|
FabrizioCoder/Pyot
|
2ca5114e97fa9785b030c60892838f3605664c21
|
[
"MIT"
] | 1
|
2022-02-04T03:12:09.000Z
|
2022-02-04T03:12:09.000Z
|
pyot/utils/tft/routing.py
|
FabrizioCoder/Pyot
|
2ca5114e97fa9785b030c60892838f3605664c21
|
[
"MIT"
] | null | null | null |
pyot/utils/tft/routing.py
|
FabrizioCoder/Pyot
|
2ca5114e97fa9785b030c60892838f3605664c21
|
[
"MIT"
] | null | null | null |
from pyot.models.tft import base
def platform_to_region(platform: str) -> str:
'''Return the region correspondent to a given platform'''
return base.PyotRouting._platform2regions[platform]
| 28.428571
| 61
| 0.763819
| 26
| 199
| 5.730769
| 0.692308
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.005882
| 0.145729
| 199
| 6
| 62
| 33.166667
| 0.870588
| 0.256281
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
c1af19eb5f9a129022353a3807101d1e028dd303
| 242
|
py
|
Python
|
problems/biclique/solver/main.py
|
Benezivas/algobattle-problems
|
b00b85413893bd1618001a4cdaa0dd7442f4e481
|
[
"MIT"
] | null | null | null |
problems/biclique/solver/main.py
|
Benezivas/algobattle-problems
|
b00b85413893bd1618001a4cdaa0dd7442f4e481
|
[
"MIT"
] | null | null | null |
problems/biclique/solver/main.py
|
Benezivas/algobattle-problems
|
b00b85413893bd1618001a4cdaa0dd7442f4e481
|
[
"MIT"
] | null | null | null |
"""Simple dummy solver for the BiClique problem, outputting a static solution."""
with open("output", "w") as output:
output.write("s set1 1\n")
output.write("s set2 2\n")
output.write("s set2 3\n")
output.write("s set2 4\n")
| 34.571429
| 81
| 0.652893
| 41
| 242
| 3.853659
| 0.609756
| 0.278481
| 0.303797
| 0.246835
| 0.322785
| 0
| 0
| 0
| 0
| 0
| 0
| 0.040404
| 0.181818
| 242
| 6
| 82
| 40.333333
| 0.757576
| 0.309917
| 0
| 0
| 0
| 0
| 0.291925
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 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
| 0
| 0
| 0
| 0
|
0
| 5
|
c1bd3526605a6b1d3a41d10be0e5bafa8ed8f574
| 312
|
py
|
Python
|
python_data_structures/stack.py
|
chandlerbrtek/python-data-structures
|
7fb8a4c4879fb148e607a627a98d0111e5a942a3
|
[
"MIT"
] | null | null | null |
python_data_structures/stack.py
|
chandlerbrtek/python-data-structures
|
7fb8a4c4879fb148e607a627a98d0111e5a942a3
|
[
"MIT"
] | null | null | null |
python_data_structures/stack.py
|
chandlerbrtek/python-data-structures
|
7fb8a4c4879fb148e607a627a98d0111e5a942a3
|
[
"MIT"
] | null | null | null |
"""Main module."""
class Stack:
stack = []
def isEmpty(self) -> bool:
return len(self.stack) == 0
def push(self, value: any) -> None:
self.stack.append(value)
def peek(self) -> any:
return self.stack[-1]
def pop(self) -> any:
return self.stack.pop()
| 20.8
| 39
| 0.532051
| 40
| 312
| 4.15
| 0.475
| 0.216867
| 0.156627
| 0.204819
| 0.26506
| 0
| 0
| 0
| 0
| 0
| 0
| 0.009259
| 0.307692
| 312
| 15
| 40
| 20.8
| 0.759259
| 0.038462
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| false
| 0
| 0
| 0.3
| 0.9
| 0
| 0
| 0
| 0
| null | 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
c1ce58fcb7e82f1a80b448eadcae66a5b6f084aa
| 199
|
py
|
Python
|
backend/reception/admin.py
|
singsaker/intern
|
9376732c6d537f46443ad43afa51e82df2005da8
|
[
"MIT"
] | 4
|
2021-10-06T19:09:12.000Z
|
2022-03-28T12:14:42.000Z
|
backend/reception/admin.py
|
singsaker/intern
|
9376732c6d537f46443ad43afa51e82df2005da8
|
[
"MIT"
] | 2
|
2021-11-30T16:07:05.000Z
|
2022-02-17T23:57:00.000Z
|
backend/reception/admin.py
|
singsaker/intern
|
9376732c6d537f46443ad43afa51e82df2005da8
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from .models import Semester, Shift, ShiftDate
# Register your models here.
admin.site.register(Semester)
admin.site.register(Shift)
admin.site.register(ShiftDate)
| 22.111111
| 46
| 0.809045
| 27
| 199
| 5.962963
| 0.481481
| 0.167702
| 0.31677
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.100503
| 199
| 8
| 47
| 24.875
| 0.899441
| 0.130653
| 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 | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
c1ed06289f200a78cf33c1b5fc0ea50a0834297a
| 663
|
py
|
Python
|
ml-agents-envs1/mlagents/envs/communicator_objects/__init__.py
|
MikeWise2718/ml-agents-mod
|
c8393b7973be329b79cda70a7140d734205013f9
|
[
"Apache-2.0"
] | null | null | null |
ml-agents-envs1/mlagents/envs/communicator_objects/__init__.py
|
MikeWise2718/ml-agents-mod
|
c8393b7973be329b79cda70a7140d734205013f9
|
[
"Apache-2.0"
] | null | null | null |
ml-agents-envs1/mlagents/envs/communicator_objects/__init__.py
|
MikeWise2718/ml-agents-mod
|
c8393b7973be329b79cda70a7140d734205013f9
|
[
"Apache-2.0"
] | null | null | null |
from .agent_action_pb2 import *
from .agent_info_pb2 import *
from .brain_parameters_pb2 import *
from .command_pb2 import *
from .compressed_observation_pb2 import *
from .custom_action_pb2 import *
from .custom_observation_pb2 import *
from .custom_reset_parameters_pb2 import *
from .demonstration_meta_pb2 import *
from .engine_configuration_pb2 import *
from .environment_parameters_pb2 import *
from .header_pb2 import *
from .space_type_pb2 import *
from .unity_input_pb2 import *
from .unity_rl_initialization_input_pb2 import *
from .unity_rl_initialization_output_pb2 import *
from .unity_rl_input_pb2 import *
from .__init__ import *
| 34.894737
| 50
| 0.809955
| 92
| 663
| 5.380435
| 0.293478
| 0.309091
| 0.446465
| 0.145455
| 0.319192
| 0.157576
| 0.157576
| 0
| 0
| 0
| 0
| 0.029668
| 0.135747
| 663
| 18
| 51
| 36.833333
| 0.834206
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
c1f984744cc0b49bb53cce60881571379454c3b2
| 693
|
py
|
Python
|
instagram_api/interfaces/media/constraints.py
|
Yuego/instagram_api
|
b53f72db36c505a2eb24ebac1ba8267a0cc295bb
|
[
"MIT"
] | 13
|
2019-08-07T21:24:34.000Z
|
2020-12-12T12:23:50.000Z
|
instagram_api/interfaces/media/constraints.py
|
Yuego/instagram_api
|
b53f72db36c505a2eb24ebac1ba8267a0cc295bb
|
[
"MIT"
] | null | null | null |
instagram_api/interfaces/media/constraints.py
|
Yuego/instagram_api
|
b53f72db36c505a2eb24ebac1ba8267a0cc295bb
|
[
"MIT"
] | null | null | null |
from abc import ABCMeta, abstractmethod, abstractproperty
__all__ = ['ConstraintsInterface']
class ConstraintsInterface(metaclass=ABCMeta):
@abstractproperty
def title(self) -> str: ...
@abstractproperty
def min_aspect_ratio(self) -> float: ...
@abstractproperty
def max_aspect_ratio(self) -> float: ...
@abstractproperty
def recommended_ratio(self) -> float: ...
@abstractproperty
def recommended_ratio_deviation(self) -> float: ...
@abstractproperty
def use_recommended_ratio_by_default(self) -> bool: ...
@abstractproperty
def min_duration(self) -> float: ...
@abstractproperty
def max_duration(self) -> float: ...
| 22.354839
| 59
| 0.686869
| 65
| 693
| 7.061538
| 0.4
| 0.331155
| 0.272331
| 0.305011
| 0.374728
| 0.300654
| 0.202614
| 0
| 0
| 0
| 0
| 0
| 0.193362
| 693
| 30
| 60
| 23.1
| 0.821109
| 0
| 0
| 0.421053
| 0
| 0
| 0.02886
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.421053
| false
| 0
| 0.052632
| 0
| 0.526316
| 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
| 0
| 1
| 0
|
0
| 5
|
c1facf349310b75831421e5671ac8c159795b995
| 60
|
py
|
Python
|
thinc/neural/_classes/feed_forward.py
|
alephmelo/thinc
|
5c4340eddbe1f21649f773bc68b4b0600cf414ba
|
[
"MIT"
] | 1
|
2018-10-30T07:19:27.000Z
|
2018-10-30T07:19:27.000Z
|
thinc/neural/_classes/feed_forward.py
|
alephmelo/thinc
|
5c4340eddbe1f21649f773bc68b4b0600cf414ba
|
[
"MIT"
] | 4
|
2020-07-26T02:10:42.000Z
|
2021-03-31T18:48:58.000Z
|
thinc/neural/_classes/feed_forward.py
|
alephmelo/thinc
|
5c4340eddbe1f21649f773bc68b4b0600cf414ba
|
[
"MIT"
] | 1
|
2020-11-18T06:18:15.000Z
|
2020-11-18T06:18:15.000Z
|
from ...api import FeedForward # For backward compatibility
| 30
| 59
| 0.8
| 7
| 60
| 6.857143
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.133333
| 60
| 1
| 60
| 60
| 0.923077
| 0.433333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
c1fe6fd1b978cb6ac6a4eeb2262f5e8f9c0f51af
| 52
|
py
|
Python
|
profiler/profiler/utils/safe_divide.py
|
Hydrospheredata/hydro-profiler
|
bca177f8d71d9d8c93091f9a9fdf9a337582e194
|
[
"Apache-2.0"
] | null | null | null |
profiler/profiler/utils/safe_divide.py
|
Hydrospheredata/hydro-profiler
|
bca177f8d71d9d8c93091f9a9fdf9a337582e194
|
[
"Apache-2.0"
] | 14
|
2021-11-22T18:07:28.000Z
|
2022-01-14T08:51:45.000Z
|
profiler/profiler/utils/safe_divide.py
|
Hydrospheredata/hydro-profiler
|
bca177f8d71d9d8c93091f9a9fdf9a337582e194
|
[
"Apache-2.0"
] | 1
|
2021-11-19T11:16:50.000Z
|
2021-11-19T11:16:50.000Z
|
def safe_divide(n, d):
return n / d if d else 0
| 17.333333
| 28
| 0.615385
| 12
| 52
| 2.583333
| 0.75
| 0.129032
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.027027
| 0.288462
| 52
| 2
| 29
| 26
| 0.810811
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0
| 0
| 0.5
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
a9b47fd15b255df5f1689bdd0c7eac646455b225
| 123
|
py
|
Python
|
fortnitepy/ext/commands/typedefs.py
|
zw5/fortnitepy
|
4aa1bbb58275fcd87a0ed28d80701ecdc55e923a
|
[
"MIT"
] | null | null | null |
fortnitepy/ext/commands/typedefs.py
|
zw5/fortnitepy
|
4aa1bbb58275fcd87a0ed28d80701ecdc55e923a
|
[
"MIT"
] | null | null | null |
fortnitepy/ext/commands/typedefs.py
|
zw5/fortnitepy
|
4aa1bbb58275fcd87a0ed28d80701ecdc55e923a
|
[
"MIT"
] | null | null | null |
from typing import Union
from fortnitepy import FriendMessage, PartyMessage
Message = Union[FriendMessage, PartyMessage]
| 20.5
| 50
| 0.837398
| 13
| 123
| 7.923077
| 0.615385
| 0.485437
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.121951
| 123
| 5
| 51
| 24.6
| 0.953704
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
e7a9abe833ad06b98a4c2551f4c70ddffb9249c0
| 30
|
py
|
Python
|
a.py
|
Ankitgarg453/resume_builder
|
8ccffb4191d270685da446f0b2808409f282cecd
|
[
"MIT"
] | null | null | null |
a.py
|
Ankitgarg453/resume_builder
|
8ccffb4191d270685da446f0b2808409f282cecd
|
[
"MIT"
] | null | null | null |
a.py
|
Ankitgarg453/resume_builder
|
8ccffb4191d270685da446f0b2808409f282cecd
|
[
"MIT"
] | null | null | null |
print "ankit"
print "Saimon"
| 7.5
| 14
| 0.7
| 4
| 30
| 5.25
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 30
| 3
| 15
| 10
| 0.84
| 0
| 0
| 0
| 0
| 0
| 0.366667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 1
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
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