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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
714453fd548ab4bcac2a2356b5d6db303e203a82
| 43
|
py
|
Python
|
run.py
|
camilosalazar98/camilo-blog
|
2fc92a0c2a4beae659d5329b332c89065aa60de8
|
[
"MIT"
] | 2
|
2020-01-18T17:30:56.000Z
|
2020-03-09T04:52:48.000Z
|
run.py
|
camilosalazar98/camilo-blog
|
2fc92a0c2a4beae659d5329b332c89065aa60de8
|
[
"MIT"
] | null | null | null |
run.py
|
camilosalazar98/camilo-blog
|
2fc92a0c2a4beae659d5329b332c89065aa60de8
|
[
"MIT"
] | 1
|
2020-03-09T04:52:55.000Z
|
2020-03-09T04:52:55.000Z
|
#!/usr/bin/env python3
from app import app
| 14.333333
| 22
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| 0
|
0
| 6
|
85326e481823f7da5f803f939313c5494031b9d9
| 8,117
|
py
|
Python
|
tests/test_bot/test_asyncbot.py
|
ExpressApp/pythonlib_botx
|
aff35f2d05db8295a829dd9fa85d495f68ed6d20
|
[
"MIT"
] | null | null | null |
tests/test_bot/test_asyncbot.py
|
ExpressApp/pythonlib_botx
|
aff35f2d05db8295a829dd9fa85d495f68ed6d20
|
[
"MIT"
] | null | null | null |
tests/test_bot/test_asyncbot.py
|
ExpressApp/pythonlib_botx
|
aff35f2d05db8295a829dd9fa85d495f68ed6d20
|
[
"MIT"
] | null | null | null |
import pytest
from botx import (
CTS,
AsyncBot,
BotCredentials,
BotXException,
CTSCredentials,
Message,
Status,
StatusResult,
)
@pytest.mark.asyncio
async def test_async_bot_init(hostname):
bot = AsyncBot()
await bot.start()
assert bot._dispatcher is not None
assert bot._credentials == BotCredentials()
await bot.stop()
@pytest.mark.asyncio
async def test_async_bot_status_parsing(
custom_router, custom_async_handler, custom_default_async_handler
):
custom_router.add_handler(custom_async_handler)
custom_router.add_handler(custom_default_async_handler)
bot = AsyncBot()
await bot.start()
bot.add_commands(custom_router)
assert await bot.parse_status() == Status(
result=StatusResult(commands=[custom_async_handler.to_status_command()])
)
await bot.stop()
@pytest.mark.asyncio
async def test_async_bot_command_executing(
command_with_text_and_file, custom_async_handler_with_sync_command_body
):
bot = AsyncBot()
await bot.start()
bot.add_handler(custom_async_handler_with_sync_command_body)
assert await bot.parse_command(command_with_text_and_file)
await bot.stop()
@pytest.mark.asyncio
async def test_async_bot_token_obtaining(hostname, bot_id, async_requests):
bot = AsyncBot()
await bot.start()
with pytest.raises(BotXException):
await bot._obtain_token(hostname, bot_id)
cts = CTS(host=hostname, secret_key="secret")
bot.register_cts(cts)
await bot._obtain_token(hostname, bot_id)
assert bot._credentials.known_cts[cts.host] == (
cts,
CTSCredentials(bot_id=bot_id, result="token_for_operations"),
)
await bot.stop()
@pytest.mark.asyncio
async def test_async_bot_token_obtaining_with_errored_request(
hostname, bot_id, async_error_requests
):
bot = AsyncBot()
await bot.start()
cts = CTS(host=hostname, secret_key="secret")
bot.register_cts(cts)
await bot._obtain_token(hostname, bot_id)
assert bot._credentials.known_cts[cts.host][1] is None
await bot.stop()
@pytest.mark.asyncio
async def test_async_bot_message_as_command_sending(
hostname, bot_id, async_requests, command_with_text_and_file
):
command_array = []
notification_array = []
async def custom_command_sending(
text, chat_id, bot_id, host, file, recipients, mentions, bubble, keyboard
):
command_array.append(
(text, chat_id, bot_id, host, file, recipients, mentions, bubble, keyboard)
)
async def custom_notification_sending(
text, group_chat_ids, bot_id, host, file, recipients, mentions, bubble, keyboard
):
notification_array.append(
(
text,
group_chat_ids,
bot_id,
host,
file,
recipients,
mentions,
bubble,
keyboard,
)
)
bot = AsyncBot()
await bot.start()
bot.register_cts(CTS(host=hostname, secret_key="secret"))
bot._send_command_result = custom_command_sending
bot._send_notification_result = custom_notification_sending
m = Message(**command_with_text_and_file)
await bot.send_message(m.body, m.sync_id, m.bot_id, m.host, file=m.file.file)
assert len(command_array) == 1
assert command_array[0] == (
m.body,
m.sync_id,
m.bot_id,
m.host,
m.file,
"all",
[],
[],
[],
)
await bot.stop()
@pytest.mark.asyncio
async def test_async_bot_message_as_notification_sending(
hostname, bot_id, async_requests, command_with_text_and_file
):
command_array = []
notification_array = []
async def custom_command_sending(
text, chat_id, bot_id, host, file, recipients, mentions, bubble, keyboard
):
command_array.append(
(text, chat_id, bot_id, host, file, recipients, mentions, bubble, keyboard)
)
async def custom_notification_sending(
text, group_chat_ids, bot_id, host, file, recipients, mentions, bubble, keyboard
):
notification_array.append(
(
text,
group_chat_ids,
bot_id,
host,
file,
recipients,
mentions,
bubble,
keyboard,
)
)
bot = AsyncBot()
await bot.start()
bot.register_cts(CTS(host=hostname, secret_key="secret"))
bot._send_command_result = custom_command_sending
bot._send_notification_result = custom_notification_sending
m = Message(**command_with_text_and_file)
await bot.send_message(m.body, m.group_chat_id, m.bot_id, m.host, file=m.file.file)
assert len(notification_array) == 1
assert notification_array[0] == (
m.body,
[m.group_chat_id],
m.bot_id,
m.host,
m.file,
"all",
[],
[],
[],
)
await bot.send_message(
m.body,
[m.group_chat_id, m.group_chat_id, m.group_chat_id],
m.bot_id,
m.host,
file=m.file.file,
)
assert notification_array[1] == (
m.body,
[m.group_chat_id, m.group_chat_id, m.group_chat_id],
m.bot_id,
m.host,
m.file,
"all",
[],
[],
[],
)
await bot.stop()
@pytest.mark.asyncio
async def test_async_bot_requests(
command_with_text_and_file, hostname, bot_id, async_requests
):
bot = AsyncBot()
await bot.start()
bot.register_cts(CTS(host=hostname, secret_key="secret"))
m = Message(**command_with_text_and_file)
assert (
len(
await bot._send_command_result(
m.body, m.sync_id, m.bot_id, m.host, m.file, "all", [], [], []
)
)
== 2
)
assert (
len(
await bot._send_notification_result(
m.body, [m.group_chat_id], m.bot_id, m.host, m.file, "all", [], [], []
)
)
== 2
)
assert len(await bot.send_file(m.file.file, m.sync_id, m.bot_id, m.host)) == 2
await bot.stop()
@pytest.mark.asyncio
async def test_async_bot_message_sending_error_requests(
command_with_text_and_file, hostname, bot_id, async_error_requests
):
bot = AsyncBot()
await bot.start()
bot.register_cts(CTS(host=hostname, secret_key="secret"))
m = Message(**command_with_text_and_file)
assert (await bot.send_message(m.body, m.sync_id, m.bot_id, m.host)) != 200
await bot.stop()
@pytest.mark.asyncio
async def test_async_bot_file_sending_error_requests(
command_with_text_and_file, hostname, bot_id, async_error_requests
):
bot = AsyncBot()
await bot.start()
bot.register_cts(CTS(host=hostname, secret_key="secret"))
m = Message(**command_with_text_and_file)
assert (await bot.send_file(m.file.file, m.sync_id, m.bot_id, m.host)) != 200
await bot.stop()
@pytest.mark.asyncio
async def test_sync_bot_work_with_disabled_credentials(
async_requests, command_with_text_and_file
):
bot = AsyncBot(disable_credentials=True)
await bot.start()
def token_obtaining_mock(**data):
raise Exception()
bot._obtain_token = token_obtaining_mock
m = Message(**command_with_text_and_file)
await bot.send_message(m.body, m.sync_id, m.bot_id, m.host)
await bot.stop()
@pytest.mark.asyncio
async def test_async_dispatcher_throws_bot_to_command(command_with_text_and_file):
bot = AsyncBot()
await bot.start()
@bot.command
async def cmd(m, b):
assert b == bot
await bot.parse_command(command_with_text_and_file)
await bot.stop()
@pytest.mark.asyncio
async def test_async_answer_message(command_with_text_and_file, async_requests):
bot = AsyncBot(disable_credentials=True)
await bot.start()
message = Message(**command_with_text_and_file)
await bot.answer_message(message.body, message)
await bot.stop()
| 24.375375
| 88
| 0.645189
| 1,044
| 8,117
| 4.685824
| 0.090996
| 0.068684
| 0.055192
| 0.066231
| 0.834424
| 0.810098
| 0.799469
| 0.735282
| 0.701349
| 0.701349
| 0
| 0.002475
| 0.253296
| 8,117
| 332
| 89
| 24.448795
| 0.804653
| 0
| 0
| 0.640316
| 0
| 0
| 0.009486
| 0
| 0
| 0
| 0
| 0
| 0.067194
| 1
| 0.003953
| false
| 0
| 0.007905
| 0
| 0.011858
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
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| 0
| 0
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| 0
| 0
| 0
| 0
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| 0
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| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
8533aa99c879e69929469a8c66581115e5f81b18
| 23
|
py
|
Python
|
devel/lib/python2.7/dist-packages/theora_image_transport/msg/__init__.py
|
lty1994/atuolabor
|
42b8c52eac93a2e48fbd64275c7dd426a988000c
|
[
"Apache-2.0"
] | 1
|
2020-05-05T13:11:31.000Z
|
2020-05-05T13:11:31.000Z
|
devel/lib/python2.7/dist-packages/theora_image_transport/msg/__init__.py
|
lty1994/atuolabor
|
42b8c52eac93a2e48fbd64275c7dd426a988000c
|
[
"Apache-2.0"
] | 1
|
2021-07-08T10:26:06.000Z
|
2021-07-08T10:31:11.000Z
|
devel/lib/python2.7/dist-packages/theora_image_transport/msg/__init__.py
|
lty1994/atuolabor
|
42b8c52eac93a2e48fbd64275c7dd426a988000c
|
[
"Apache-2.0"
] | 1
|
2020-09-11T14:00:36.000Z
|
2020-09-11T14:00:36.000Z
|
from ._Packet import *
| 11.5
| 22
| 0.73913
| 3
| 23
| 5.333333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
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| 0.173913
| 23
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| 0.842105
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| 0
|
0
| 6
|
85572389e1ccb7a13f48957cafcf7be315381cb1
| 75
|
py
|
Python
|
embeddingvectorizer/__init__.py
|
ccs-amsterdam/embeddingvectorizer
|
557274cb3e4fb08d122f93c90f4b7fd1f5b28e26
|
[
"MIT"
] | null | null | null |
embeddingvectorizer/__init__.py
|
ccs-amsterdam/embeddingvectorizer
|
557274cb3e4fb08d122f93c90f4b7fd1f5b28e26
|
[
"MIT"
] | null | null | null |
embeddingvectorizer/__init__.py
|
ccs-amsterdam/embeddingvectorizer
|
557274cb3e4fb08d122f93c90f4b7fd1f5b28e26
|
[
"MIT"
] | null | null | null |
from .vectorizer import EmbeddingCountVectorizer, EmbeddingTfidfVectorizer
| 37.5
| 74
| 0.906667
| 5
| 75
| 13.6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.066667
| 75
| 1
| 75
| 75
| 0.971429
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| 1
| 0
| 1
| 0
|
0
| 6
|
856025f64a009babc4f2f418086d45234a9411ef
| 1,247
|
py
|
Python
|
deep-rl/lib/python2.7/site-packages/OpenGL/raw/GLES2/OES/texture_storage_multisample_2d_array.py
|
ShujaKhalid/deep-rl
|
99c6ba6c3095d1bfdab81bd01395ced96bddd611
|
[
"MIT"
] | 210
|
2016-04-09T14:26:00.000Z
|
2022-03-25T18:36:19.000Z
|
deep-rl/lib/python2.7/site-packages/OpenGL/raw/GLES2/OES/texture_storage_multisample_2d_array.py
|
ShujaKhalid/deep-rl
|
99c6ba6c3095d1bfdab81bd01395ced96bddd611
|
[
"MIT"
] | 72
|
2016-09-04T09:30:19.000Z
|
2022-03-27T17:06:53.000Z
|
deep-rl/lib/python2.7/site-packages/OpenGL/raw/GLES2/OES/texture_storage_multisample_2d_array.py
|
ShujaKhalid/deep-rl
|
99c6ba6c3095d1bfdab81bd01395ced96bddd611
|
[
"MIT"
] | 64
|
2016-04-09T14:26:49.000Z
|
2022-03-21T11:19:47.000Z
|
'''Autogenerated by xml_generate script, do not edit!'''
from OpenGL import platform as _p, arrays
# Code generation uses this
from OpenGL.raw.GLES2 import _types as _cs
# End users want this...
from OpenGL.raw.GLES2._types import *
from OpenGL.raw.GLES2 import _errors
from OpenGL.constant import Constant as _C
import ctypes
_EXTENSION_NAME = 'GLES2_OES_texture_storage_multisample_2d_array'
def _f( function ):
return _p.createFunction( function,_p.PLATFORM.GLES2,'GLES2_OES_texture_storage_multisample_2d_array',error_checker=_errors._error_checker)
GL_INT_SAMPLER_2D_MULTISAMPLE_ARRAY_OES=_C('GL_INT_SAMPLER_2D_MULTISAMPLE_ARRAY_OES',0x910C)
GL_SAMPLER_2D_MULTISAMPLE_ARRAY_OES=_C('GL_SAMPLER_2D_MULTISAMPLE_ARRAY_OES',0x910B)
GL_TEXTURE_2D_MULTISAMPLE_ARRAY_OES=_C('GL_TEXTURE_2D_MULTISAMPLE_ARRAY_OES',0x9102)
GL_TEXTURE_BINDING_2D_MULTISAMPLE_ARRAY_OES=_C('GL_TEXTURE_BINDING_2D_MULTISAMPLE_ARRAY_OES',0x9105)
GL_UNSIGNED_INT_SAMPLER_2D_MULTISAMPLE_ARRAY_OES=_C('GL_UNSIGNED_INT_SAMPLER_2D_MULTISAMPLE_ARRAY_OES',0x910D)
@_f
@_p.types(None,_cs.GLenum,_cs.GLsizei,_cs.GLenum,_cs.GLsizei,_cs.GLsizei,_cs.GLsizei,_cs.GLboolean)
def glTexStorage3DMultisampleOES(target,samples,internalformat,width,height,depth,fixedsamplelocations):pass
| 56.681818
| 143
| 0.864475
| 189
| 1,247
| 5.174603
| 0.359788
| 0.132924
| 0.184049
| 0.214724
| 0.567485
| 0.436605
| 0.375256
| 0.119632
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| 0.056135
| 1,247
| 21
| 144
| 59.380952
| 0.796092
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| 0.25614
| 0.25614
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| 0.026316
| 0
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| 1
| 0.117647
| false
| 0.058824
| 0.352941
| 0.058824
| 0.529412
| 0
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| null | 0
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| 0
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| 0
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| 0
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| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 0
|
0
| 6
|
8584f924976812ad6af35e999c1fa9bff1a07dd3
| 360
|
py
|
Python
|
deliverable_model/builtin/processor/__init__.py
|
lanSeFangZhou/deliverable_model
|
b01c502286850879bc3f9be1dd6f369ad1181d07
|
[
"Apache-2.0"
] | 2
|
2020-08-20T04:26:58.000Z
|
2021-01-04T10:06:31.000Z
|
deliverable_model/builtin/processor/__init__.py
|
lanSeFangZhou/deliverable_model
|
b01c502286850879bc3f9be1dd6f369ad1181d07
|
[
"Apache-2.0"
] | 6
|
2019-12-12T03:13:43.000Z
|
2021-11-10T20:08:18.000Z
|
deliverable_model/builtin/processor/__init__.py
|
lanSeFangZhou/deliverable_model
|
b01c502286850879bc3f9be1dd6f369ad1181d07
|
[
"Apache-2.0"
] | 4
|
2019-11-15T09:56:01.000Z
|
2020-05-08T10:23:00.000Z
|
from deliverable_model.builtin.processor.lookup_processor import LookupProcessor
from deliverable_model.builtin.processor.biluo_decode_processor import (
BILUOEncodeProcessor,
)
from deliverable_model.builtin.processor.pad_processor import PadProcessor
from deliverable_model.builtin.processor.str_tokens_convert_processor import StrTokensConvertProcessor
| 51.428571
| 102
| 0.897222
| 39
| 360
| 8
| 0.435897
| 0.192308
| 0.25641
| 0.346154
| 0.461538
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.061111
| 360
| 6
| 103
| 60
| 0.923077
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| 0
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| 1
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| true
| 0
| 0.666667
| 0
| 0.666667
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
85c5ad20f78873e7d80aeeefe02599f2675e280b
| 25
|
py
|
Python
|
atomicswap/__init__.py
|
y-chan/atomicswap-qt
|
5bab6d301177aaf7487236597f75efb1172e6450
|
[
"MIT"
] | 14
|
2020-01-12T07:43:31.000Z
|
2020-09-10T23:50:53.000Z
|
atomicswap/__init__.py
|
atomicswap-network/atomicswap-qt
|
4379deda0840ca305d8cc20b0337a7d3517eb6a3
|
[
"MIT"
] | 12
|
2020-01-12T10:33:58.000Z
|
2020-02-06T04:35:27.000Z
|
atomicswap/__init__.py
|
atomicswap-network/atomicswap-qt
|
4379deda0840ca305d8cc20b0337a7d3517eb6a3
|
[
"MIT"
] | 4
|
2020-01-28T03:17:32.000Z
|
2021-08-09T22:14:40.000Z
|
from atomicswap import *
| 12.5
| 24
| 0.8
| 3
| 25
| 6.666667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.16
| 25
| 1
| 25
| 25
| 0.952381
| 0
| 0
| 0
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| 0
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| 0
| 1
| 0
| true
| 0
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| 1
| 1
| 0
| null | 0
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| 0
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| 0
| 0
| 0
| 0
| 0
| 1
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| 0
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| 0
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
a4406dda02b7e95d2c30c76426fbe550d321fce6
| 30
|
py
|
Python
|
alfworld/agents/graph_map/__init__.py
|
roy860328/VSGM
|
3ec19f9cf1401cecf45527687936b8fe4167f672
|
[
"MIT"
] | 6
|
2021-05-22T15:33:42.000Z
|
2022-01-12T03:34:39.000Z
|
alfworld/agents/graph_map/__init__.py
|
roy860328/VSGM
|
3ec19f9cf1401cecf45527687936b8fe4167f672
|
[
"MIT"
] | 1
|
2021-06-19T10:04:13.000Z
|
2021-06-20T03:37:23.000Z
|
alfworld/agents/graph_map/__init__.py
|
roy860328/VSGM
|
3ec19f9cf1401cecf45527687936b8fe4167f672
|
[
"MIT"
] | null | null | null |
from . import utils_graph_map
| 15
| 29
| 0.833333
| 5
| 30
| 4.6
| 1
| 0
| 0
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| 0
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| 0.133333
| 30
| 1
| 30
| 30
| 0.884615
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| null | 0
| 0
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| 0
| 0
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| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
a498b3375faee1605718e063bac0a5f90ff46620
| 679
|
py
|
Python
|
octicons16px/unmute.py
|
andrewp-as-is/octicons16px.py
|
1272dc9f290619d83bd881e87dbd723b0c48844c
|
[
"Unlicense"
] | 1
|
2021-01-28T06:47:39.000Z
|
2021-01-28T06:47:39.000Z
|
octicons16px/unmute.py
|
andrewp-as-is/octicons16px.py
|
1272dc9f290619d83bd881e87dbd723b0c48844c
|
[
"Unlicense"
] | null | null | null |
octicons16px/unmute.py
|
andrewp-as-is/octicons16px.py
|
1272dc9f290619d83bd881e87dbd723b0c48844c
|
[
"Unlicense"
] | null | null | null |
OCTICON_UNMUTE = """
<svg class="octicon octicon-unmute" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 16 16" width="16" height="16"><path fill-rule="evenodd" d="M7.563 2.069A.75.75 0 018 2.75v10.5a.75.75 0 01-1.238.57L3.472 11H1.75A1.75 1.75 0 010 9.25v-2.5C0 5.784.784 5 1.75 5h1.723l3.289-2.82a.75.75 0 01.801-.111zM6.5 4.38L4.238 6.319a.75.75 0 01-.488.181h-2a.25.25 0 00-.25.25v2.5c0 .138.112.25.25.25h2a.75.75 0 01.488.18L6.5 11.62V4.38zm6.096-2.038a.75.75 0 011.06 0 8 8 0 010 11.314.75.75 0 01-1.06-1.06 6.5 6.5 0 000-9.193.75.75 0 010-1.06v-.001zm-1.06 2.121a.75.75 0 10-1.061 1.061 3.5 3.5 0 010 4.95.75.75 0 101.06 1.06 5 5 0 000-7.07l.001-.001z"></path></svg>
"""
| 135.8
| 652
| 0.670103
| 185
| 679
| 2.454054
| 0.454054
| 0.072687
| 0.110132
| 0.077093
| 0.079295
| 0
| 0
| 0
| 0
| 0
| 0
| 0.524046
| 0.111929
| 679
| 4
| 653
| 169.75
| 0.228856
| 0
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| 0
| 0
| 0.333333
| 0.964602
| 0.231563
| 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
| 0
| 1
| 1
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| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
f10d181c12e15f56b146f65d4c274c8343974fe2
| 82,381
|
py
|
Python
|
test/unit/test_alerts_v1.py
|
IBM/networking-services-python-sdk
|
a19e47db6a5971562a502982d69a5868997245f3
|
[
"Apache-2.0"
] | 1
|
2022-03-26T18:20:42.000Z
|
2022-03-26T18:20:42.000Z
|
test/unit/test_alerts_v1.py
|
IBM/networking-services-python-sdk
|
a19e47db6a5971562a502982d69a5868997245f3
|
[
"Apache-2.0"
] | null | null | null |
test/unit/test_alerts_v1.py
|
IBM/networking-services-python-sdk
|
a19e47db6a5971562a502982d69a5868997245f3
|
[
"Apache-2.0"
] | null | null | null |
# -*- coding: utf-8 -*-
# (C) Copyright IBM Corp. 2022.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
Unit Tests for AlertsV1
"""
from ibm_cloud_sdk_core.authenticators.no_auth_authenticator import NoAuthAuthenticator
import inspect
import json
import os
import pytest
import re
import responses
import urllib
from ibm_cloud_networking_services.alerts_v1 import *
crn = 'testString'
_service = AlertsV1(
authenticator=NoAuthAuthenticator(),
crn=crn
)
_base_url = 'https://api.cis.cloud.ibm.com'
_service.set_service_url(_base_url)
##############################################################################
# Start of Service: AlertPolicies
##############################################################################
# region
class TestNewInstance():
"""
Test Class for new_instance
"""
def test_new_instance(self):
"""
new_instance()
"""
os.environ['TEST_SERVICE_AUTH_TYPE'] = 'noAuth'
service = AlertsV1.new_instance(
crn=crn,
service_name='TEST_SERVICE',
)
assert service is not None
assert isinstance(service, AlertsV1)
def test_new_instance_without_authenticator(self):
"""
new_instance_without_authenticator()
"""
with pytest.raises(ValueError, match='authenticator must be provided'):
service = AlertsV1.new_instance(
crn=crn,
)
def test_new_instance_without_required_params(self):
"""
new_instance_without_required_params()
"""
with pytest.raises(TypeError, match='new_instance\\(\\) missing \\d required positional arguments?: \'.*\''):
service = AlertsV1.new_instance()
def test_new_instance_required_param_none(self):
"""
new_instance_required_param_none()
"""
with pytest.raises(ValueError, match='crn must be provided'):
service = AlertsV1.new_instance(
crn=None,
)
class TestGetAlertPolicies():
"""
Test Class for get_alert_policies
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded
request_url = urllib.parse.quote(request_url, safe=':/')
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_get_alert_policies_all_params(self):
"""
get_alert_policies()
"""
# Set up mock
url = self.preprocess_url(_base_url + '/v1/testString/alerting/policies')
mock_response = '{"success": true, "errors": [{"id": "id"}], "messages": [{"id": "id"}], "result": [{"id": "f0413b106d2c4aa9b1553d5d0209c522", "name": "My Alert Policy", "description": "Description for my alert policy", "enabled": true, "alert_type": "dos_attack_l7", "mechanisms": {"email": [{"id": "id"}], "webhooks": [{"id": "id"}]}, "created": "2021-09-15T16:33:31.834209Z", "modified": "2021-09-15T16:33:31.834209Z", "conditions": {"anyKey": "anyValue"}, "filters": {"anyKey": "anyValue"}}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Invoke method
response = _service.get_alert_policies()
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
def test_get_alert_policies_all_params_with_retries(self):
# Enable retries and run test_get_alert_policies_all_params.
_service.enable_retries()
self.test_get_alert_policies_all_params()
# Disable retries and run test_get_alert_policies_all_params.
_service.disable_retries()
self.test_get_alert_policies_all_params()
@responses.activate
def test_get_alert_policies_value_error(self):
"""
test_get_alert_policies_value_error()
"""
# Set up mock
url = self.preprocess_url(_base_url + '/v1/testString/alerting/policies')
mock_response = '{"success": true, "errors": [{"id": "id"}], "messages": [{"id": "id"}], "result": [{"id": "f0413b106d2c4aa9b1553d5d0209c522", "name": "My Alert Policy", "description": "Description for my alert policy", "enabled": true, "alert_type": "dos_attack_l7", "mechanisms": {"email": [{"id": "id"}], "webhooks": [{"id": "id"}]}, "created": "2021-09-15T16:33:31.834209Z", "modified": "2021-09-15T16:33:31.834209Z", "conditions": {"anyKey": "anyValue"}, "filters": {"anyKey": "anyValue"}}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Pass in all but one required param and check for a ValueError
req_param_dict = {
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
_service.get_alert_policies(**req_copy)
def test_get_alert_policies_value_error_with_retries(self):
# Enable retries and run test_get_alert_policies_value_error.
_service.enable_retries()
self.test_get_alert_policies_value_error()
# Disable retries and run test_get_alert_policies_value_error.
_service.disable_retries()
self.test_get_alert_policies_value_error()
class TestCreateAlertPolicy():
"""
Test Class for create_alert_policy
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded
request_url = urllib.parse.quote(request_url, safe=':/')
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_create_alert_policy_all_params(self):
"""
create_alert_policy()
"""
# Set up mock
url = self.preprocess_url(_base_url + '/v1/testString/alerting/policies')
mock_response = '{"success": true, "errors": [{"id": "id"}], "messages": [{"id": "id"}], "result": {"id": "f0413b106d2c4aa9b1553d5d0209c522"}}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=200)
# Construct a dict representation of a CreateAlertPolicyInputMechanismsEmailItem model
create_alert_policy_input_mechanisms_email_item_model = {}
create_alert_policy_input_mechanisms_email_item_model['id'] = 'mynotifications@email.com'
# Construct a dict representation of a CreateAlertPolicyInputMechanismsWebhooksItem model
create_alert_policy_input_mechanisms_webhooks_item_model = {}
create_alert_policy_input_mechanisms_webhooks_item_model['id'] = 'f0413b106d2c4aa9b1553d5d0209c522'
# Construct a dict representation of a CreateAlertPolicyInputMechanisms model
create_alert_policy_input_mechanisms_model = {}
create_alert_policy_input_mechanisms_model['email'] = [create_alert_policy_input_mechanisms_email_item_model]
create_alert_policy_input_mechanisms_model['webhooks'] = [create_alert_policy_input_mechanisms_webhooks_item_model]
# Set up parameter values
name = 'My Alert Policy'
enabled = True
alert_type = 'dos_attack_l7'
mechanisms = create_alert_policy_input_mechanisms_model
description = 'A description for my alert policy'
filters = { 'foo': 'bar' }
conditions = { 'foo': 'bar' }
# Invoke method
response = _service.create_alert_policy(
name=name,
enabled=enabled,
alert_type=alert_type,
mechanisms=mechanisms,
description=description,
filters=filters,
conditions=conditions,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate body params
req_body = json.loads(str(responses.calls[0].request.body, 'utf-8'))
assert req_body['name'] == 'My Alert Policy'
assert req_body['enabled'] == True
assert req_body['alert_type'] == 'dos_attack_l7'
assert req_body['mechanisms'] == create_alert_policy_input_mechanisms_model
assert req_body['description'] == 'A description for my alert policy'
assert req_body['filters'] == { 'foo': 'bar' }
assert req_body['conditions'] == { 'foo': 'bar' }
def test_create_alert_policy_all_params_with_retries(self):
# Enable retries and run test_create_alert_policy_all_params.
_service.enable_retries()
self.test_create_alert_policy_all_params()
# Disable retries and run test_create_alert_policy_all_params.
_service.disable_retries()
self.test_create_alert_policy_all_params()
@responses.activate
def test_create_alert_policy_required_params(self):
"""
test_create_alert_policy_required_params()
"""
# Set up mock
url = self.preprocess_url(_base_url + '/v1/testString/alerting/policies')
mock_response = '{"success": true, "errors": [{"id": "id"}], "messages": [{"id": "id"}], "result": {"id": "f0413b106d2c4aa9b1553d5d0209c522"}}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=200)
# Invoke method
response = _service.create_alert_policy()
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
def test_create_alert_policy_required_params_with_retries(self):
# Enable retries and run test_create_alert_policy_required_params.
_service.enable_retries()
self.test_create_alert_policy_required_params()
# Disable retries and run test_create_alert_policy_required_params.
_service.disable_retries()
self.test_create_alert_policy_required_params()
@responses.activate
def test_create_alert_policy_value_error(self):
"""
test_create_alert_policy_value_error()
"""
# Set up mock
url = self.preprocess_url(_base_url + '/v1/testString/alerting/policies')
mock_response = '{"success": true, "errors": [{"id": "id"}], "messages": [{"id": "id"}], "result": {"id": "f0413b106d2c4aa9b1553d5d0209c522"}}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=200)
# Pass in all but one required param and check for a ValueError
req_param_dict = {
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
_service.create_alert_policy(**req_copy)
def test_create_alert_policy_value_error_with_retries(self):
# Enable retries and run test_create_alert_policy_value_error.
_service.enable_retries()
self.test_create_alert_policy_value_error()
# Disable retries and run test_create_alert_policy_value_error.
_service.disable_retries()
self.test_create_alert_policy_value_error()
class TestGetAlertPolicy():
"""
Test Class for get_alert_policy
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded
request_url = urllib.parse.quote(request_url, safe=':/')
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_get_alert_policy_all_params(self):
"""
get_alert_policy()
"""
# Set up mock
url = self.preprocess_url(_base_url + '/v1/testString/alerting/policies/testString')
mock_response = '{"success": true, "errors": [{"id": "id"}], "messages": [{"id": "id"}], "result": {"id": "f0413b106d2c4aa9b1553d5d0209c522", "name": "My Alert Policy", "description": "Description for my alert policy", "enabled": true, "alert_type": "dos_attack_l7", "mechanisms": {"email": [{"id": "id"}], "webhooks": [{"id": "id"}]}, "created": "2021-09-15T16:33:31.834209Z", "modified": "2021-09-15T16:33:31.834209Z", "conditions": {"anyKey": "anyValue"}, "filters": {"anyKey": "anyValue"}}}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
policy_id = 'testString'
# Invoke method
response = _service.get_alert_policy(
policy_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
def test_get_alert_policy_all_params_with_retries(self):
# Enable retries and run test_get_alert_policy_all_params.
_service.enable_retries()
self.test_get_alert_policy_all_params()
# Disable retries and run test_get_alert_policy_all_params.
_service.disable_retries()
self.test_get_alert_policy_all_params()
@responses.activate
def test_get_alert_policy_value_error(self):
"""
test_get_alert_policy_value_error()
"""
# Set up mock
url = self.preprocess_url(_base_url + '/v1/testString/alerting/policies/testString')
mock_response = '{"success": true, "errors": [{"id": "id"}], "messages": [{"id": "id"}], "result": {"id": "f0413b106d2c4aa9b1553d5d0209c522", "name": "My Alert Policy", "description": "Description for my alert policy", "enabled": true, "alert_type": "dos_attack_l7", "mechanisms": {"email": [{"id": "id"}], "webhooks": [{"id": "id"}]}, "created": "2021-09-15T16:33:31.834209Z", "modified": "2021-09-15T16:33:31.834209Z", "conditions": {"anyKey": "anyValue"}, "filters": {"anyKey": "anyValue"}}}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
policy_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"policy_id": policy_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
_service.get_alert_policy(**req_copy)
def test_get_alert_policy_value_error_with_retries(self):
# Enable retries and run test_get_alert_policy_value_error.
_service.enable_retries()
self.test_get_alert_policy_value_error()
# Disable retries and run test_get_alert_policy_value_error.
_service.disable_retries()
self.test_get_alert_policy_value_error()
class TestUpdateAlertPolicy():
"""
Test Class for update_alert_policy
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded
request_url = urllib.parse.quote(request_url, safe=':/')
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_update_alert_policy_all_params(self):
"""
update_alert_policy()
"""
# Set up mock
url = self.preprocess_url(_base_url + '/v1/testString/alerting/policies/testString')
mock_response = '{"success": true, "errors": [{"id": "id"}], "messages": [{"id": "id"}], "result": {"id": "f0413b106d2c4aa9b1553d5d0209c522"}}'
responses.add(responses.PUT,
url,
body=mock_response,
content_type='application/json',
status=200)
# Construct a dict representation of a UpdateAlertPolicyInputMechanismsEmailItem model
update_alert_policy_input_mechanisms_email_item_model = {}
update_alert_policy_input_mechanisms_email_item_model['id'] = 'mynotifications@email.com'
# Construct a dict representation of a UpdateAlertPolicyInputMechanismsWebhooksItem model
update_alert_policy_input_mechanisms_webhooks_item_model = {}
update_alert_policy_input_mechanisms_webhooks_item_model['id'] = 'f0413b106d2c4aa9b1553d5d0209c522'
# Construct a dict representation of a UpdateAlertPolicyInputMechanisms model
update_alert_policy_input_mechanisms_model = {}
update_alert_policy_input_mechanisms_model['email'] = [update_alert_policy_input_mechanisms_email_item_model]
update_alert_policy_input_mechanisms_model['webhooks'] = [update_alert_policy_input_mechanisms_webhooks_item_model]
# Set up parameter values
policy_id = 'testString'
name = 'My Alert Policy'
enabled = True
alert_type = 'dos_attack_l7'
mechanisms = update_alert_policy_input_mechanisms_model
conditions = { 'foo': 'bar' }
description = 'A description for my alert policy'
filters = { 'foo': 'bar' }
# Invoke method
response = _service.update_alert_policy(
policy_id,
name=name,
enabled=enabled,
alert_type=alert_type,
mechanisms=mechanisms,
conditions=conditions,
description=description,
filters=filters,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate body params
req_body = json.loads(str(responses.calls[0].request.body, 'utf-8'))
assert req_body['name'] == 'My Alert Policy'
assert req_body['enabled'] == True
assert req_body['alert_type'] == 'dos_attack_l7'
assert req_body['mechanisms'] == update_alert_policy_input_mechanisms_model
assert req_body['conditions'] == { 'foo': 'bar' }
assert req_body['description'] == 'A description for my alert policy'
assert req_body['filters'] == { 'foo': 'bar' }
def test_update_alert_policy_all_params_with_retries(self):
# Enable retries and run test_update_alert_policy_all_params.
_service.enable_retries()
self.test_update_alert_policy_all_params()
# Disable retries and run test_update_alert_policy_all_params.
_service.disable_retries()
self.test_update_alert_policy_all_params()
@responses.activate
def test_update_alert_policy_required_params(self):
"""
test_update_alert_policy_required_params()
"""
# Set up mock
url = self.preprocess_url(_base_url + '/v1/testString/alerting/policies/testString')
mock_response = '{"success": true, "errors": [{"id": "id"}], "messages": [{"id": "id"}], "result": {"id": "f0413b106d2c4aa9b1553d5d0209c522"}}'
responses.add(responses.PUT,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
policy_id = 'testString'
# Invoke method
response = _service.update_alert_policy(
policy_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
def test_update_alert_policy_required_params_with_retries(self):
# Enable retries and run test_update_alert_policy_required_params.
_service.enable_retries()
self.test_update_alert_policy_required_params()
# Disable retries and run test_update_alert_policy_required_params.
_service.disable_retries()
self.test_update_alert_policy_required_params()
@responses.activate
def test_update_alert_policy_value_error(self):
"""
test_update_alert_policy_value_error()
"""
# Set up mock
url = self.preprocess_url(_base_url + '/v1/testString/alerting/policies/testString')
mock_response = '{"success": true, "errors": [{"id": "id"}], "messages": [{"id": "id"}], "result": {"id": "f0413b106d2c4aa9b1553d5d0209c522"}}'
responses.add(responses.PUT,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
policy_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"policy_id": policy_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
_service.update_alert_policy(**req_copy)
def test_update_alert_policy_value_error_with_retries(self):
# Enable retries and run test_update_alert_policy_value_error.
_service.enable_retries()
self.test_update_alert_policy_value_error()
# Disable retries and run test_update_alert_policy_value_error.
_service.disable_retries()
self.test_update_alert_policy_value_error()
class TestDeleteAlertPolicy():
"""
Test Class for delete_alert_policy
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded
request_url = urllib.parse.quote(request_url, safe=':/')
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_delete_alert_policy_all_params(self):
"""
delete_alert_policy()
"""
# Set up mock
url = self.preprocess_url(_base_url + '/v1/testString/alerting/policies/testString')
mock_response = '{"success": true, "errors": [{"id": "id"}], "messages": [{"id": "id"}], "result": {"id": "f0413b106d2c4aa9b1553d5d0209c522"}}'
responses.add(responses.DELETE,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
policy_id = 'testString'
# Invoke method
response = _service.delete_alert_policy(
policy_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
def test_delete_alert_policy_all_params_with_retries(self):
# Enable retries and run test_delete_alert_policy_all_params.
_service.enable_retries()
self.test_delete_alert_policy_all_params()
# Disable retries and run test_delete_alert_policy_all_params.
_service.disable_retries()
self.test_delete_alert_policy_all_params()
@responses.activate
def test_delete_alert_policy_value_error(self):
"""
test_delete_alert_policy_value_error()
"""
# Set up mock
url = self.preprocess_url(_base_url + '/v1/testString/alerting/policies/testString')
mock_response = '{"success": true, "errors": [{"id": "id"}], "messages": [{"id": "id"}], "result": {"id": "f0413b106d2c4aa9b1553d5d0209c522"}}'
responses.add(responses.DELETE,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
policy_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"policy_id": policy_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
_service.delete_alert_policy(**req_copy)
def test_delete_alert_policy_value_error_with_retries(self):
# Enable retries and run test_delete_alert_policy_value_error.
_service.enable_retries()
self.test_delete_alert_policy_value_error()
# Disable retries and run test_delete_alert_policy_value_error.
_service.disable_retries()
self.test_delete_alert_policy_value_error()
# endregion
##############################################################################
# End of Service: AlertPolicies
##############################################################################
##############################################################################
# Start of Model Tests
##############################################################################
# region
class TestModel_AlertSuccessRespErrorsItem():
"""
Test Class for AlertSuccessRespErrorsItem
"""
def test_alert_success_resp_errors_item_serialization(self):
"""
Test serialization/deserialization for AlertSuccessRespErrorsItem
"""
# Construct a json representation of a AlertSuccessRespErrorsItem model
alert_success_resp_errors_item_model_json = {}
alert_success_resp_errors_item_model_json['id'] = 'testString'
# Construct a model instance of AlertSuccessRespErrorsItem by calling from_dict on the json representation
alert_success_resp_errors_item_model = AlertSuccessRespErrorsItem.from_dict(alert_success_resp_errors_item_model_json)
assert alert_success_resp_errors_item_model != False
# Construct a model instance of AlertSuccessRespErrorsItem by calling from_dict on the json representation
alert_success_resp_errors_item_model_dict = AlertSuccessRespErrorsItem.from_dict(alert_success_resp_errors_item_model_json).__dict__
alert_success_resp_errors_item_model2 = AlertSuccessRespErrorsItem(**alert_success_resp_errors_item_model_dict)
# Verify the model instances are equivalent
assert alert_success_resp_errors_item_model == alert_success_resp_errors_item_model2
# Convert model instance back to dict and verify no loss of data
alert_success_resp_errors_item_model_json2 = alert_success_resp_errors_item_model.to_dict()
assert alert_success_resp_errors_item_model_json2 == alert_success_resp_errors_item_model_json
class TestModel_AlertSuccessRespMessagesItem():
"""
Test Class for AlertSuccessRespMessagesItem
"""
def test_alert_success_resp_messages_item_serialization(self):
"""
Test serialization/deserialization for AlertSuccessRespMessagesItem
"""
# Construct a json representation of a AlertSuccessRespMessagesItem model
alert_success_resp_messages_item_model_json = {}
alert_success_resp_messages_item_model_json['id'] = 'testString'
# Construct a model instance of AlertSuccessRespMessagesItem by calling from_dict on the json representation
alert_success_resp_messages_item_model = AlertSuccessRespMessagesItem.from_dict(alert_success_resp_messages_item_model_json)
assert alert_success_resp_messages_item_model != False
# Construct a model instance of AlertSuccessRespMessagesItem by calling from_dict on the json representation
alert_success_resp_messages_item_model_dict = AlertSuccessRespMessagesItem.from_dict(alert_success_resp_messages_item_model_json).__dict__
alert_success_resp_messages_item_model2 = AlertSuccessRespMessagesItem(**alert_success_resp_messages_item_model_dict)
# Verify the model instances are equivalent
assert alert_success_resp_messages_item_model == alert_success_resp_messages_item_model2
# Convert model instance back to dict and verify no loss of data
alert_success_resp_messages_item_model_json2 = alert_success_resp_messages_item_model.to_dict()
assert alert_success_resp_messages_item_model_json2 == alert_success_resp_messages_item_model_json
class TestModel_AlertSuccessRespResult():
"""
Test Class for AlertSuccessRespResult
"""
def test_alert_success_resp_result_serialization(self):
"""
Test serialization/deserialization for AlertSuccessRespResult
"""
# Construct a json representation of a AlertSuccessRespResult model
alert_success_resp_result_model_json = {}
alert_success_resp_result_model_json['id'] = 'f0413b106d2c4aa9b1553d5d0209c522'
# Construct a model instance of AlertSuccessRespResult by calling from_dict on the json representation
alert_success_resp_result_model = AlertSuccessRespResult.from_dict(alert_success_resp_result_model_json)
assert alert_success_resp_result_model != False
# Construct a model instance of AlertSuccessRespResult by calling from_dict on the json representation
alert_success_resp_result_model_dict = AlertSuccessRespResult.from_dict(alert_success_resp_result_model_json).__dict__
alert_success_resp_result_model2 = AlertSuccessRespResult(**alert_success_resp_result_model_dict)
# Verify the model instances are equivalent
assert alert_success_resp_result_model == alert_success_resp_result_model2
# Convert model instance back to dict and verify no loss of data
alert_success_resp_result_model_json2 = alert_success_resp_result_model.to_dict()
assert alert_success_resp_result_model_json2 == alert_success_resp_result_model_json
class TestModel_CreateAlertPolicyInputMechanisms():
"""
Test Class for CreateAlertPolicyInputMechanisms
"""
def test_create_alert_policy_input_mechanisms_serialization(self):
"""
Test serialization/deserialization for CreateAlertPolicyInputMechanisms
"""
# Construct dict forms of any model objects needed in order to build this model.
create_alert_policy_input_mechanisms_email_item_model = {} # CreateAlertPolicyInputMechanismsEmailItem
create_alert_policy_input_mechanisms_email_item_model['id'] = 'mynotifications@email.com'
create_alert_policy_input_mechanisms_webhooks_item_model = {} # CreateAlertPolicyInputMechanismsWebhooksItem
create_alert_policy_input_mechanisms_webhooks_item_model['id'] = 'f0413b106d2c4aa9b1553d5d0209c522'
# Construct a json representation of a CreateAlertPolicyInputMechanisms model
create_alert_policy_input_mechanisms_model_json = {}
create_alert_policy_input_mechanisms_model_json['email'] = [create_alert_policy_input_mechanisms_email_item_model]
create_alert_policy_input_mechanisms_model_json['webhooks'] = [create_alert_policy_input_mechanisms_webhooks_item_model]
# Construct a model instance of CreateAlertPolicyInputMechanisms by calling from_dict on the json representation
create_alert_policy_input_mechanisms_model = CreateAlertPolicyInputMechanisms.from_dict(create_alert_policy_input_mechanisms_model_json)
assert create_alert_policy_input_mechanisms_model != False
# Construct a model instance of CreateAlertPolicyInputMechanisms by calling from_dict on the json representation
create_alert_policy_input_mechanisms_model_dict = CreateAlertPolicyInputMechanisms.from_dict(create_alert_policy_input_mechanisms_model_json).__dict__
create_alert_policy_input_mechanisms_model2 = CreateAlertPolicyInputMechanisms(**create_alert_policy_input_mechanisms_model_dict)
# Verify the model instances are equivalent
assert create_alert_policy_input_mechanisms_model == create_alert_policy_input_mechanisms_model2
# Convert model instance back to dict and verify no loss of data
create_alert_policy_input_mechanisms_model_json2 = create_alert_policy_input_mechanisms_model.to_dict()
assert create_alert_policy_input_mechanisms_model_json2 == create_alert_policy_input_mechanisms_model_json
class TestModel_CreateAlertPolicyInputMechanismsEmailItem():
"""
Test Class for CreateAlertPolicyInputMechanismsEmailItem
"""
def test_create_alert_policy_input_mechanisms_email_item_serialization(self):
"""
Test serialization/deserialization for CreateAlertPolicyInputMechanismsEmailItem
"""
# Construct a json representation of a CreateAlertPolicyInputMechanismsEmailItem model
create_alert_policy_input_mechanisms_email_item_model_json = {}
create_alert_policy_input_mechanisms_email_item_model_json['id'] = 'testString'
# Construct a model instance of CreateAlertPolicyInputMechanismsEmailItem by calling from_dict on the json representation
create_alert_policy_input_mechanisms_email_item_model = CreateAlertPolicyInputMechanismsEmailItem.from_dict(create_alert_policy_input_mechanisms_email_item_model_json)
assert create_alert_policy_input_mechanisms_email_item_model != False
# Construct a model instance of CreateAlertPolicyInputMechanismsEmailItem by calling from_dict on the json representation
create_alert_policy_input_mechanisms_email_item_model_dict = CreateAlertPolicyInputMechanismsEmailItem.from_dict(create_alert_policy_input_mechanisms_email_item_model_json).__dict__
create_alert_policy_input_mechanisms_email_item_model2 = CreateAlertPolicyInputMechanismsEmailItem(**create_alert_policy_input_mechanisms_email_item_model_dict)
# Verify the model instances are equivalent
assert create_alert_policy_input_mechanisms_email_item_model == create_alert_policy_input_mechanisms_email_item_model2
# Convert model instance back to dict and verify no loss of data
create_alert_policy_input_mechanisms_email_item_model_json2 = create_alert_policy_input_mechanisms_email_item_model.to_dict()
assert create_alert_policy_input_mechanisms_email_item_model_json2 == create_alert_policy_input_mechanisms_email_item_model_json
class TestModel_CreateAlertPolicyInputMechanismsWebhooksItem():
"""
Test Class for CreateAlertPolicyInputMechanismsWebhooksItem
"""
def test_create_alert_policy_input_mechanisms_webhooks_item_serialization(self):
"""
Test serialization/deserialization for CreateAlertPolicyInputMechanismsWebhooksItem
"""
# Construct a json representation of a CreateAlertPolicyInputMechanismsWebhooksItem model
create_alert_policy_input_mechanisms_webhooks_item_model_json = {}
create_alert_policy_input_mechanisms_webhooks_item_model_json['id'] = 'testString'
# Construct a model instance of CreateAlertPolicyInputMechanismsWebhooksItem by calling from_dict on the json representation
create_alert_policy_input_mechanisms_webhooks_item_model = CreateAlertPolicyInputMechanismsWebhooksItem.from_dict(create_alert_policy_input_mechanisms_webhooks_item_model_json)
assert create_alert_policy_input_mechanisms_webhooks_item_model != False
# Construct a model instance of CreateAlertPolicyInputMechanismsWebhooksItem by calling from_dict on the json representation
create_alert_policy_input_mechanisms_webhooks_item_model_dict = CreateAlertPolicyInputMechanismsWebhooksItem.from_dict(create_alert_policy_input_mechanisms_webhooks_item_model_json).__dict__
create_alert_policy_input_mechanisms_webhooks_item_model2 = CreateAlertPolicyInputMechanismsWebhooksItem(**create_alert_policy_input_mechanisms_webhooks_item_model_dict)
# Verify the model instances are equivalent
assert create_alert_policy_input_mechanisms_webhooks_item_model == create_alert_policy_input_mechanisms_webhooks_item_model2
# Convert model instance back to dict and verify no loss of data
create_alert_policy_input_mechanisms_webhooks_item_model_json2 = create_alert_policy_input_mechanisms_webhooks_item_model.to_dict()
assert create_alert_policy_input_mechanisms_webhooks_item_model_json2 == create_alert_policy_input_mechanisms_webhooks_item_model_json
class TestModel_GetAlertPolicyRespErrorsItem():
"""
Test Class for GetAlertPolicyRespErrorsItem
"""
def test_get_alert_policy_resp_errors_item_serialization(self):
"""
Test serialization/deserialization for GetAlertPolicyRespErrorsItem
"""
# Construct a json representation of a GetAlertPolicyRespErrorsItem model
get_alert_policy_resp_errors_item_model_json = {}
get_alert_policy_resp_errors_item_model_json['id'] = 'testString'
# Construct a model instance of GetAlertPolicyRespErrorsItem by calling from_dict on the json representation
get_alert_policy_resp_errors_item_model = GetAlertPolicyRespErrorsItem.from_dict(get_alert_policy_resp_errors_item_model_json)
assert get_alert_policy_resp_errors_item_model != False
# Construct a model instance of GetAlertPolicyRespErrorsItem by calling from_dict on the json representation
get_alert_policy_resp_errors_item_model_dict = GetAlertPolicyRespErrorsItem.from_dict(get_alert_policy_resp_errors_item_model_json).__dict__
get_alert_policy_resp_errors_item_model2 = GetAlertPolicyRespErrorsItem(**get_alert_policy_resp_errors_item_model_dict)
# Verify the model instances are equivalent
assert get_alert_policy_resp_errors_item_model == get_alert_policy_resp_errors_item_model2
# Convert model instance back to dict and verify no loss of data
get_alert_policy_resp_errors_item_model_json2 = get_alert_policy_resp_errors_item_model.to_dict()
assert get_alert_policy_resp_errors_item_model_json2 == get_alert_policy_resp_errors_item_model_json
class TestModel_GetAlertPolicyRespMessagesItem():
"""
Test Class for GetAlertPolicyRespMessagesItem
"""
def test_get_alert_policy_resp_messages_item_serialization(self):
"""
Test serialization/deserialization for GetAlertPolicyRespMessagesItem
"""
# Construct a json representation of a GetAlertPolicyRespMessagesItem model
get_alert_policy_resp_messages_item_model_json = {}
get_alert_policy_resp_messages_item_model_json['id'] = 'testString'
# Construct a model instance of GetAlertPolicyRespMessagesItem by calling from_dict on the json representation
get_alert_policy_resp_messages_item_model = GetAlertPolicyRespMessagesItem.from_dict(get_alert_policy_resp_messages_item_model_json)
assert get_alert_policy_resp_messages_item_model != False
# Construct a model instance of GetAlertPolicyRespMessagesItem by calling from_dict on the json representation
get_alert_policy_resp_messages_item_model_dict = GetAlertPolicyRespMessagesItem.from_dict(get_alert_policy_resp_messages_item_model_json).__dict__
get_alert_policy_resp_messages_item_model2 = GetAlertPolicyRespMessagesItem(**get_alert_policy_resp_messages_item_model_dict)
# Verify the model instances are equivalent
assert get_alert_policy_resp_messages_item_model == get_alert_policy_resp_messages_item_model2
# Convert model instance back to dict and verify no loss of data
get_alert_policy_resp_messages_item_model_json2 = get_alert_policy_resp_messages_item_model.to_dict()
assert get_alert_policy_resp_messages_item_model_json2 == get_alert_policy_resp_messages_item_model_json
class TestModel_GetAlertPolicyRespResult():
"""
Test Class for GetAlertPolicyRespResult
"""
def test_get_alert_policy_resp_result_serialization(self):
"""
Test serialization/deserialization for GetAlertPolicyRespResult
"""
# Construct dict forms of any model objects needed in order to build this model.
get_alert_policy_resp_result_mechanisms_email_item_model = {} # GetAlertPolicyRespResultMechanismsEmailItem
get_alert_policy_resp_result_mechanisms_email_item_model['id'] = 'mynotifications@email.com'
get_alert_policy_resp_result_mechanisms_webhooks_item_model = {} # GetAlertPolicyRespResultMechanismsWebhooksItem
get_alert_policy_resp_result_mechanisms_webhooks_item_model['id'] = 'f0413b106d2c4aa9b1553d5d0209c522'
get_alert_policy_resp_result_mechanisms_model = {} # GetAlertPolicyRespResultMechanisms
get_alert_policy_resp_result_mechanisms_model['email'] = [get_alert_policy_resp_result_mechanisms_email_item_model]
get_alert_policy_resp_result_mechanisms_model['webhooks'] = [get_alert_policy_resp_result_mechanisms_webhooks_item_model]
# Construct a json representation of a GetAlertPolicyRespResult model
get_alert_policy_resp_result_model_json = {}
get_alert_policy_resp_result_model_json['id'] = 'f0413b106d2c4aa9b1553d5d0209c522'
get_alert_policy_resp_result_model_json['name'] = 'My Alert Policy'
get_alert_policy_resp_result_model_json['description'] = 'Description for my alert policy'
get_alert_policy_resp_result_model_json['enabled'] = True
get_alert_policy_resp_result_model_json['alert_type'] = 'dos_attack_l7'
get_alert_policy_resp_result_model_json['mechanisms'] = get_alert_policy_resp_result_mechanisms_model
get_alert_policy_resp_result_model_json['created'] = '2021-09-15T16:33:31.834209Z'
get_alert_policy_resp_result_model_json['modified'] = '2021-09-15T16:33:31.834209Z'
get_alert_policy_resp_result_model_json['conditions'] = { 'foo': 'bar' }
get_alert_policy_resp_result_model_json['filters'] = { 'foo': 'bar' }
# Construct a model instance of GetAlertPolicyRespResult by calling from_dict on the json representation
get_alert_policy_resp_result_model = GetAlertPolicyRespResult.from_dict(get_alert_policy_resp_result_model_json)
assert get_alert_policy_resp_result_model != False
# Construct a model instance of GetAlertPolicyRespResult by calling from_dict on the json representation
get_alert_policy_resp_result_model_dict = GetAlertPolicyRespResult.from_dict(get_alert_policy_resp_result_model_json).__dict__
get_alert_policy_resp_result_model2 = GetAlertPolicyRespResult(**get_alert_policy_resp_result_model_dict)
# Verify the model instances are equivalent
assert get_alert_policy_resp_result_model == get_alert_policy_resp_result_model2
# Convert model instance back to dict and verify no loss of data
get_alert_policy_resp_result_model_json2 = get_alert_policy_resp_result_model.to_dict()
assert get_alert_policy_resp_result_model_json2 == get_alert_policy_resp_result_model_json
class TestModel_GetAlertPolicyRespResultMechanisms():
"""
Test Class for GetAlertPolicyRespResultMechanisms
"""
def test_get_alert_policy_resp_result_mechanisms_serialization(self):
"""
Test serialization/deserialization for GetAlertPolicyRespResultMechanisms
"""
# Construct dict forms of any model objects needed in order to build this model.
get_alert_policy_resp_result_mechanisms_email_item_model = {} # GetAlertPolicyRespResultMechanismsEmailItem
get_alert_policy_resp_result_mechanisms_email_item_model['id'] = 'mynotifications@email.com'
get_alert_policy_resp_result_mechanisms_webhooks_item_model = {} # GetAlertPolicyRespResultMechanismsWebhooksItem
get_alert_policy_resp_result_mechanisms_webhooks_item_model['id'] = 'f0413b106d2c4aa9b1553d5d0209c522'
# Construct a json representation of a GetAlertPolicyRespResultMechanisms model
get_alert_policy_resp_result_mechanisms_model_json = {}
get_alert_policy_resp_result_mechanisms_model_json['email'] = [get_alert_policy_resp_result_mechanisms_email_item_model]
get_alert_policy_resp_result_mechanisms_model_json['webhooks'] = [get_alert_policy_resp_result_mechanisms_webhooks_item_model]
# Construct a model instance of GetAlertPolicyRespResultMechanisms by calling from_dict on the json representation
get_alert_policy_resp_result_mechanisms_model = GetAlertPolicyRespResultMechanisms.from_dict(get_alert_policy_resp_result_mechanisms_model_json)
assert get_alert_policy_resp_result_mechanisms_model != False
# Construct a model instance of GetAlertPolicyRespResultMechanisms by calling from_dict on the json representation
get_alert_policy_resp_result_mechanisms_model_dict = GetAlertPolicyRespResultMechanisms.from_dict(get_alert_policy_resp_result_mechanisms_model_json).__dict__
get_alert_policy_resp_result_mechanisms_model2 = GetAlertPolicyRespResultMechanisms(**get_alert_policy_resp_result_mechanisms_model_dict)
# Verify the model instances are equivalent
assert get_alert_policy_resp_result_mechanisms_model == get_alert_policy_resp_result_mechanisms_model2
# Convert model instance back to dict and verify no loss of data
get_alert_policy_resp_result_mechanisms_model_json2 = get_alert_policy_resp_result_mechanisms_model.to_dict()
assert get_alert_policy_resp_result_mechanisms_model_json2 == get_alert_policy_resp_result_mechanisms_model_json
class TestModel_GetAlertPolicyRespResultMechanismsEmailItem():
"""
Test Class for GetAlertPolicyRespResultMechanismsEmailItem
"""
def test_get_alert_policy_resp_result_mechanisms_email_item_serialization(self):
"""
Test serialization/deserialization for GetAlertPolicyRespResultMechanismsEmailItem
"""
# Construct a json representation of a GetAlertPolicyRespResultMechanismsEmailItem model
get_alert_policy_resp_result_mechanisms_email_item_model_json = {}
get_alert_policy_resp_result_mechanisms_email_item_model_json['id'] = 'testString'
# Construct a model instance of GetAlertPolicyRespResultMechanismsEmailItem by calling from_dict on the json representation
get_alert_policy_resp_result_mechanisms_email_item_model = GetAlertPolicyRespResultMechanismsEmailItem.from_dict(get_alert_policy_resp_result_mechanisms_email_item_model_json)
assert get_alert_policy_resp_result_mechanisms_email_item_model != False
# Construct a model instance of GetAlertPolicyRespResultMechanismsEmailItem by calling from_dict on the json representation
get_alert_policy_resp_result_mechanisms_email_item_model_dict = GetAlertPolicyRespResultMechanismsEmailItem.from_dict(get_alert_policy_resp_result_mechanisms_email_item_model_json).__dict__
get_alert_policy_resp_result_mechanisms_email_item_model2 = GetAlertPolicyRespResultMechanismsEmailItem(**get_alert_policy_resp_result_mechanisms_email_item_model_dict)
# Verify the model instances are equivalent
assert get_alert_policy_resp_result_mechanisms_email_item_model == get_alert_policy_resp_result_mechanisms_email_item_model2
# Convert model instance back to dict and verify no loss of data
get_alert_policy_resp_result_mechanisms_email_item_model_json2 = get_alert_policy_resp_result_mechanisms_email_item_model.to_dict()
assert get_alert_policy_resp_result_mechanisms_email_item_model_json2 == get_alert_policy_resp_result_mechanisms_email_item_model_json
class TestModel_GetAlertPolicyRespResultMechanismsWebhooksItem():
"""
Test Class for GetAlertPolicyRespResultMechanismsWebhooksItem
"""
def test_get_alert_policy_resp_result_mechanisms_webhooks_item_serialization(self):
"""
Test serialization/deserialization for GetAlertPolicyRespResultMechanismsWebhooksItem
"""
# Construct a json representation of a GetAlertPolicyRespResultMechanismsWebhooksItem model
get_alert_policy_resp_result_mechanisms_webhooks_item_model_json = {}
get_alert_policy_resp_result_mechanisms_webhooks_item_model_json['id'] = 'testString'
# Construct a model instance of GetAlertPolicyRespResultMechanismsWebhooksItem by calling from_dict on the json representation
get_alert_policy_resp_result_mechanisms_webhooks_item_model = GetAlertPolicyRespResultMechanismsWebhooksItem.from_dict(get_alert_policy_resp_result_mechanisms_webhooks_item_model_json)
assert get_alert_policy_resp_result_mechanisms_webhooks_item_model != False
# Construct a model instance of GetAlertPolicyRespResultMechanismsWebhooksItem by calling from_dict on the json representation
get_alert_policy_resp_result_mechanisms_webhooks_item_model_dict = GetAlertPolicyRespResultMechanismsWebhooksItem.from_dict(get_alert_policy_resp_result_mechanisms_webhooks_item_model_json).__dict__
get_alert_policy_resp_result_mechanisms_webhooks_item_model2 = GetAlertPolicyRespResultMechanismsWebhooksItem(**get_alert_policy_resp_result_mechanisms_webhooks_item_model_dict)
# Verify the model instances are equivalent
assert get_alert_policy_resp_result_mechanisms_webhooks_item_model == get_alert_policy_resp_result_mechanisms_webhooks_item_model2
# Convert model instance back to dict and verify no loss of data
get_alert_policy_resp_result_mechanisms_webhooks_item_model_json2 = get_alert_policy_resp_result_mechanisms_webhooks_item_model.to_dict()
assert get_alert_policy_resp_result_mechanisms_webhooks_item_model_json2 == get_alert_policy_resp_result_mechanisms_webhooks_item_model_json
class TestModel_ListAlertPoliciesRespErrorsItem():
"""
Test Class for ListAlertPoliciesRespErrorsItem
"""
def test_list_alert_policies_resp_errors_item_serialization(self):
"""
Test serialization/deserialization for ListAlertPoliciesRespErrorsItem
"""
# Construct a json representation of a ListAlertPoliciesRespErrorsItem model
list_alert_policies_resp_errors_item_model_json = {}
list_alert_policies_resp_errors_item_model_json['id'] = 'testString'
# Construct a model instance of ListAlertPoliciesRespErrorsItem by calling from_dict on the json representation
list_alert_policies_resp_errors_item_model = ListAlertPoliciesRespErrorsItem.from_dict(list_alert_policies_resp_errors_item_model_json)
assert list_alert_policies_resp_errors_item_model != False
# Construct a model instance of ListAlertPoliciesRespErrorsItem by calling from_dict on the json representation
list_alert_policies_resp_errors_item_model_dict = ListAlertPoliciesRespErrorsItem.from_dict(list_alert_policies_resp_errors_item_model_json).__dict__
list_alert_policies_resp_errors_item_model2 = ListAlertPoliciesRespErrorsItem(**list_alert_policies_resp_errors_item_model_dict)
# Verify the model instances are equivalent
assert list_alert_policies_resp_errors_item_model == list_alert_policies_resp_errors_item_model2
# Convert model instance back to dict and verify no loss of data
list_alert_policies_resp_errors_item_model_json2 = list_alert_policies_resp_errors_item_model.to_dict()
assert list_alert_policies_resp_errors_item_model_json2 == list_alert_policies_resp_errors_item_model_json
class TestModel_ListAlertPoliciesRespMessagesItem():
"""
Test Class for ListAlertPoliciesRespMessagesItem
"""
def test_list_alert_policies_resp_messages_item_serialization(self):
"""
Test serialization/deserialization for ListAlertPoliciesRespMessagesItem
"""
# Construct a json representation of a ListAlertPoliciesRespMessagesItem model
list_alert_policies_resp_messages_item_model_json = {}
list_alert_policies_resp_messages_item_model_json['id'] = 'testString'
# Construct a model instance of ListAlertPoliciesRespMessagesItem by calling from_dict on the json representation
list_alert_policies_resp_messages_item_model = ListAlertPoliciesRespMessagesItem.from_dict(list_alert_policies_resp_messages_item_model_json)
assert list_alert_policies_resp_messages_item_model != False
# Construct a model instance of ListAlertPoliciesRespMessagesItem by calling from_dict on the json representation
list_alert_policies_resp_messages_item_model_dict = ListAlertPoliciesRespMessagesItem.from_dict(list_alert_policies_resp_messages_item_model_json).__dict__
list_alert_policies_resp_messages_item_model2 = ListAlertPoliciesRespMessagesItem(**list_alert_policies_resp_messages_item_model_dict)
# Verify the model instances are equivalent
assert list_alert_policies_resp_messages_item_model == list_alert_policies_resp_messages_item_model2
# Convert model instance back to dict and verify no loss of data
list_alert_policies_resp_messages_item_model_json2 = list_alert_policies_resp_messages_item_model.to_dict()
assert list_alert_policies_resp_messages_item_model_json2 == list_alert_policies_resp_messages_item_model_json
class TestModel_ListAlertPoliciesRespResultItem():
"""
Test Class for ListAlertPoliciesRespResultItem
"""
def test_list_alert_policies_resp_result_item_serialization(self):
"""
Test serialization/deserialization for ListAlertPoliciesRespResultItem
"""
# Construct dict forms of any model objects needed in order to build this model.
list_alert_policies_resp_result_item_mechanisms_email_item_model = {} # ListAlertPoliciesRespResultItemMechanismsEmailItem
list_alert_policies_resp_result_item_mechanisms_email_item_model['id'] = 'mynotifications@email.com'
list_alert_policies_resp_result_item_mechanisms_webhooks_item_model = {} # ListAlertPoliciesRespResultItemMechanismsWebhooksItem
list_alert_policies_resp_result_item_mechanisms_webhooks_item_model['id'] = 'f0413b106d2c4aa9b1553d5d0209c522'
list_alert_policies_resp_result_item_mechanisms_model = {} # ListAlertPoliciesRespResultItemMechanisms
list_alert_policies_resp_result_item_mechanisms_model['email'] = [list_alert_policies_resp_result_item_mechanisms_email_item_model]
list_alert_policies_resp_result_item_mechanisms_model['webhooks'] = [list_alert_policies_resp_result_item_mechanisms_webhooks_item_model]
# Construct a json representation of a ListAlertPoliciesRespResultItem model
list_alert_policies_resp_result_item_model_json = {}
list_alert_policies_resp_result_item_model_json['id'] = 'f0413b106d2c4aa9b1553d5d0209c522'
list_alert_policies_resp_result_item_model_json['name'] = 'My Alert Policy'
list_alert_policies_resp_result_item_model_json['description'] = 'Description for my alert policy'
list_alert_policies_resp_result_item_model_json['enabled'] = True
list_alert_policies_resp_result_item_model_json['alert_type'] = 'dos_attack_l7'
list_alert_policies_resp_result_item_model_json['mechanisms'] = list_alert_policies_resp_result_item_mechanisms_model
list_alert_policies_resp_result_item_model_json['created'] = '2021-09-15T16:33:31.834209Z'
list_alert_policies_resp_result_item_model_json['modified'] = '2021-09-15T16:33:31.834209Z'
list_alert_policies_resp_result_item_model_json['conditions'] = { 'foo': 'bar' }
list_alert_policies_resp_result_item_model_json['filters'] = { 'foo': 'bar' }
# Construct a model instance of ListAlertPoliciesRespResultItem by calling from_dict on the json representation
list_alert_policies_resp_result_item_model = ListAlertPoliciesRespResultItem.from_dict(list_alert_policies_resp_result_item_model_json)
assert list_alert_policies_resp_result_item_model != False
# Construct a model instance of ListAlertPoliciesRespResultItem by calling from_dict on the json representation
list_alert_policies_resp_result_item_model_dict = ListAlertPoliciesRespResultItem.from_dict(list_alert_policies_resp_result_item_model_json).__dict__
list_alert_policies_resp_result_item_model2 = ListAlertPoliciesRespResultItem(**list_alert_policies_resp_result_item_model_dict)
# Verify the model instances are equivalent
assert list_alert_policies_resp_result_item_model == list_alert_policies_resp_result_item_model2
# Convert model instance back to dict and verify no loss of data
list_alert_policies_resp_result_item_model_json2 = list_alert_policies_resp_result_item_model.to_dict()
assert list_alert_policies_resp_result_item_model_json2 == list_alert_policies_resp_result_item_model_json
class TestModel_ListAlertPoliciesRespResultItemMechanisms():
"""
Test Class for ListAlertPoliciesRespResultItemMechanisms
"""
def test_list_alert_policies_resp_result_item_mechanisms_serialization(self):
"""
Test serialization/deserialization for ListAlertPoliciesRespResultItemMechanisms
"""
# Construct dict forms of any model objects needed in order to build this model.
list_alert_policies_resp_result_item_mechanisms_email_item_model = {} # ListAlertPoliciesRespResultItemMechanismsEmailItem
list_alert_policies_resp_result_item_mechanisms_email_item_model['id'] = 'mynotifications@email.com'
list_alert_policies_resp_result_item_mechanisms_webhooks_item_model = {} # ListAlertPoliciesRespResultItemMechanismsWebhooksItem
list_alert_policies_resp_result_item_mechanisms_webhooks_item_model['id'] = 'f0413b106d2c4aa9b1553d5d0209c522'
# Construct a json representation of a ListAlertPoliciesRespResultItemMechanisms model
list_alert_policies_resp_result_item_mechanisms_model_json = {}
list_alert_policies_resp_result_item_mechanisms_model_json['email'] = [list_alert_policies_resp_result_item_mechanisms_email_item_model]
list_alert_policies_resp_result_item_mechanisms_model_json['webhooks'] = [list_alert_policies_resp_result_item_mechanisms_webhooks_item_model]
# Construct a model instance of ListAlertPoliciesRespResultItemMechanisms by calling from_dict on the json representation
list_alert_policies_resp_result_item_mechanisms_model = ListAlertPoliciesRespResultItemMechanisms.from_dict(list_alert_policies_resp_result_item_mechanisms_model_json)
assert list_alert_policies_resp_result_item_mechanisms_model != False
# Construct a model instance of ListAlertPoliciesRespResultItemMechanisms by calling from_dict on the json representation
list_alert_policies_resp_result_item_mechanisms_model_dict = ListAlertPoliciesRespResultItemMechanisms.from_dict(list_alert_policies_resp_result_item_mechanisms_model_json).__dict__
list_alert_policies_resp_result_item_mechanisms_model2 = ListAlertPoliciesRespResultItemMechanisms(**list_alert_policies_resp_result_item_mechanisms_model_dict)
# Verify the model instances are equivalent
assert list_alert_policies_resp_result_item_mechanisms_model == list_alert_policies_resp_result_item_mechanisms_model2
# Convert model instance back to dict and verify no loss of data
list_alert_policies_resp_result_item_mechanisms_model_json2 = list_alert_policies_resp_result_item_mechanisms_model.to_dict()
assert list_alert_policies_resp_result_item_mechanisms_model_json2 == list_alert_policies_resp_result_item_mechanisms_model_json
class TestModel_ListAlertPoliciesRespResultItemMechanismsEmailItem():
"""
Test Class for ListAlertPoliciesRespResultItemMechanismsEmailItem
"""
def test_list_alert_policies_resp_result_item_mechanisms_email_item_serialization(self):
"""
Test serialization/deserialization for ListAlertPoliciesRespResultItemMechanismsEmailItem
"""
# Construct a json representation of a ListAlertPoliciesRespResultItemMechanismsEmailItem model
list_alert_policies_resp_result_item_mechanisms_email_item_model_json = {}
list_alert_policies_resp_result_item_mechanisms_email_item_model_json['id'] = 'testString'
# Construct a model instance of ListAlertPoliciesRespResultItemMechanismsEmailItem by calling from_dict on the json representation
list_alert_policies_resp_result_item_mechanisms_email_item_model = ListAlertPoliciesRespResultItemMechanismsEmailItem.from_dict(list_alert_policies_resp_result_item_mechanisms_email_item_model_json)
assert list_alert_policies_resp_result_item_mechanisms_email_item_model != False
# Construct a model instance of ListAlertPoliciesRespResultItemMechanismsEmailItem by calling from_dict on the json representation
list_alert_policies_resp_result_item_mechanisms_email_item_model_dict = ListAlertPoliciesRespResultItemMechanismsEmailItem.from_dict(list_alert_policies_resp_result_item_mechanisms_email_item_model_json).__dict__
list_alert_policies_resp_result_item_mechanisms_email_item_model2 = ListAlertPoliciesRespResultItemMechanismsEmailItem(**list_alert_policies_resp_result_item_mechanisms_email_item_model_dict)
# Verify the model instances are equivalent
assert list_alert_policies_resp_result_item_mechanisms_email_item_model == list_alert_policies_resp_result_item_mechanisms_email_item_model2
# Convert model instance back to dict and verify no loss of data
list_alert_policies_resp_result_item_mechanisms_email_item_model_json2 = list_alert_policies_resp_result_item_mechanisms_email_item_model.to_dict()
assert list_alert_policies_resp_result_item_mechanisms_email_item_model_json2 == list_alert_policies_resp_result_item_mechanisms_email_item_model_json
class TestModel_ListAlertPoliciesRespResultItemMechanismsWebhooksItem():
"""
Test Class for ListAlertPoliciesRespResultItemMechanismsWebhooksItem
"""
def test_list_alert_policies_resp_result_item_mechanisms_webhooks_item_serialization(self):
"""
Test serialization/deserialization for ListAlertPoliciesRespResultItemMechanismsWebhooksItem
"""
# Construct a json representation of a ListAlertPoliciesRespResultItemMechanismsWebhooksItem model
list_alert_policies_resp_result_item_mechanisms_webhooks_item_model_json = {}
list_alert_policies_resp_result_item_mechanisms_webhooks_item_model_json['id'] = 'testString'
# Construct a model instance of ListAlertPoliciesRespResultItemMechanismsWebhooksItem by calling from_dict on the json representation
list_alert_policies_resp_result_item_mechanisms_webhooks_item_model = ListAlertPoliciesRespResultItemMechanismsWebhooksItem.from_dict(list_alert_policies_resp_result_item_mechanisms_webhooks_item_model_json)
assert list_alert_policies_resp_result_item_mechanisms_webhooks_item_model != False
# Construct a model instance of ListAlertPoliciesRespResultItemMechanismsWebhooksItem by calling from_dict on the json representation
list_alert_policies_resp_result_item_mechanisms_webhooks_item_model_dict = ListAlertPoliciesRespResultItemMechanismsWebhooksItem.from_dict(list_alert_policies_resp_result_item_mechanisms_webhooks_item_model_json).__dict__
list_alert_policies_resp_result_item_mechanisms_webhooks_item_model2 = ListAlertPoliciesRespResultItemMechanismsWebhooksItem(**list_alert_policies_resp_result_item_mechanisms_webhooks_item_model_dict)
# Verify the model instances are equivalent
assert list_alert_policies_resp_result_item_mechanisms_webhooks_item_model == list_alert_policies_resp_result_item_mechanisms_webhooks_item_model2
# Convert model instance back to dict and verify no loss of data
list_alert_policies_resp_result_item_mechanisms_webhooks_item_model_json2 = list_alert_policies_resp_result_item_mechanisms_webhooks_item_model.to_dict()
assert list_alert_policies_resp_result_item_mechanisms_webhooks_item_model_json2 == list_alert_policies_resp_result_item_mechanisms_webhooks_item_model_json
class TestModel_UpdateAlertPolicyInputMechanisms():
"""
Test Class for UpdateAlertPolicyInputMechanisms
"""
def test_update_alert_policy_input_mechanisms_serialization(self):
"""
Test serialization/deserialization for UpdateAlertPolicyInputMechanisms
"""
# Construct dict forms of any model objects needed in order to build this model.
update_alert_policy_input_mechanisms_email_item_model = {} # UpdateAlertPolicyInputMechanismsEmailItem
update_alert_policy_input_mechanisms_email_item_model['id'] = 'mynotifications@email.com'
update_alert_policy_input_mechanisms_webhooks_item_model = {} # UpdateAlertPolicyInputMechanismsWebhooksItem
update_alert_policy_input_mechanisms_webhooks_item_model['id'] = 'f0413b106d2c4aa9b1553d5d0209c522'
# Construct a json representation of a UpdateAlertPolicyInputMechanisms model
update_alert_policy_input_mechanisms_model_json = {}
update_alert_policy_input_mechanisms_model_json['email'] = [update_alert_policy_input_mechanisms_email_item_model]
update_alert_policy_input_mechanisms_model_json['webhooks'] = [update_alert_policy_input_mechanisms_webhooks_item_model]
# Construct a model instance of UpdateAlertPolicyInputMechanisms by calling from_dict on the json representation
update_alert_policy_input_mechanisms_model = UpdateAlertPolicyInputMechanisms.from_dict(update_alert_policy_input_mechanisms_model_json)
assert update_alert_policy_input_mechanisms_model != False
# Construct a model instance of UpdateAlertPolicyInputMechanisms by calling from_dict on the json representation
update_alert_policy_input_mechanisms_model_dict = UpdateAlertPolicyInputMechanisms.from_dict(update_alert_policy_input_mechanisms_model_json).__dict__
update_alert_policy_input_mechanisms_model2 = UpdateAlertPolicyInputMechanisms(**update_alert_policy_input_mechanisms_model_dict)
# Verify the model instances are equivalent
assert update_alert_policy_input_mechanisms_model == update_alert_policy_input_mechanisms_model2
# Convert model instance back to dict and verify no loss of data
update_alert_policy_input_mechanisms_model_json2 = update_alert_policy_input_mechanisms_model.to_dict()
assert update_alert_policy_input_mechanisms_model_json2 == update_alert_policy_input_mechanisms_model_json
class TestModel_UpdateAlertPolicyInputMechanismsEmailItem():
"""
Test Class for UpdateAlertPolicyInputMechanismsEmailItem
"""
def test_update_alert_policy_input_mechanisms_email_item_serialization(self):
"""
Test serialization/deserialization for UpdateAlertPolicyInputMechanismsEmailItem
"""
# Construct a json representation of a UpdateAlertPolicyInputMechanismsEmailItem model
update_alert_policy_input_mechanisms_email_item_model_json = {}
update_alert_policy_input_mechanisms_email_item_model_json['id'] = 'testString'
# Construct a model instance of UpdateAlertPolicyInputMechanismsEmailItem by calling from_dict on the json representation
update_alert_policy_input_mechanisms_email_item_model = UpdateAlertPolicyInputMechanismsEmailItem.from_dict(update_alert_policy_input_mechanisms_email_item_model_json)
assert update_alert_policy_input_mechanisms_email_item_model != False
# Construct a model instance of UpdateAlertPolicyInputMechanismsEmailItem by calling from_dict on the json representation
update_alert_policy_input_mechanisms_email_item_model_dict = UpdateAlertPolicyInputMechanismsEmailItem.from_dict(update_alert_policy_input_mechanisms_email_item_model_json).__dict__
update_alert_policy_input_mechanisms_email_item_model2 = UpdateAlertPolicyInputMechanismsEmailItem(**update_alert_policy_input_mechanisms_email_item_model_dict)
# Verify the model instances are equivalent
assert update_alert_policy_input_mechanisms_email_item_model == update_alert_policy_input_mechanisms_email_item_model2
# Convert model instance back to dict and verify no loss of data
update_alert_policy_input_mechanisms_email_item_model_json2 = update_alert_policy_input_mechanisms_email_item_model.to_dict()
assert update_alert_policy_input_mechanisms_email_item_model_json2 == update_alert_policy_input_mechanisms_email_item_model_json
class TestModel_UpdateAlertPolicyInputMechanismsWebhooksItem():
"""
Test Class for UpdateAlertPolicyInputMechanismsWebhooksItem
"""
def test_update_alert_policy_input_mechanisms_webhooks_item_serialization(self):
"""
Test serialization/deserialization for UpdateAlertPolicyInputMechanismsWebhooksItem
"""
# Construct a json representation of a UpdateAlertPolicyInputMechanismsWebhooksItem model
update_alert_policy_input_mechanisms_webhooks_item_model_json = {}
update_alert_policy_input_mechanisms_webhooks_item_model_json['id'] = 'testString'
# Construct a model instance of UpdateAlertPolicyInputMechanismsWebhooksItem by calling from_dict on the json representation
update_alert_policy_input_mechanisms_webhooks_item_model = UpdateAlertPolicyInputMechanismsWebhooksItem.from_dict(update_alert_policy_input_mechanisms_webhooks_item_model_json)
assert update_alert_policy_input_mechanisms_webhooks_item_model != False
# Construct a model instance of UpdateAlertPolicyInputMechanismsWebhooksItem by calling from_dict on the json representation
update_alert_policy_input_mechanisms_webhooks_item_model_dict = UpdateAlertPolicyInputMechanismsWebhooksItem.from_dict(update_alert_policy_input_mechanisms_webhooks_item_model_json).__dict__
update_alert_policy_input_mechanisms_webhooks_item_model2 = UpdateAlertPolicyInputMechanismsWebhooksItem(**update_alert_policy_input_mechanisms_webhooks_item_model_dict)
# Verify the model instances are equivalent
assert update_alert_policy_input_mechanisms_webhooks_item_model == update_alert_policy_input_mechanisms_webhooks_item_model2
# Convert model instance back to dict and verify no loss of data
update_alert_policy_input_mechanisms_webhooks_item_model_json2 = update_alert_policy_input_mechanisms_webhooks_item_model.to_dict()
assert update_alert_policy_input_mechanisms_webhooks_item_model_json2 == update_alert_policy_input_mechanisms_webhooks_item_model_json
class TestModel_AlertSuccessResp():
"""
Test Class for AlertSuccessResp
"""
def test_alert_success_resp_serialization(self):
"""
Test serialization/deserialization for AlertSuccessResp
"""
# Construct dict forms of any model objects needed in order to build this model.
alert_success_resp_errors_item_model = {} # AlertSuccessRespErrorsItem
alert_success_resp_errors_item_model['id'] = 'testString'
alert_success_resp_messages_item_model = {} # AlertSuccessRespMessagesItem
alert_success_resp_messages_item_model['id'] = 'testString'
alert_success_resp_result_model = {} # AlertSuccessRespResult
alert_success_resp_result_model['id'] = 'f0413b106d2c4aa9b1553d5d0209c522'
# Construct a json representation of a AlertSuccessResp model
alert_success_resp_model_json = {}
alert_success_resp_model_json['success'] = True
alert_success_resp_model_json['errors'] = [alert_success_resp_errors_item_model]
alert_success_resp_model_json['messages'] = [alert_success_resp_messages_item_model]
alert_success_resp_model_json['result'] = alert_success_resp_result_model
# Construct a model instance of AlertSuccessResp by calling from_dict on the json representation
alert_success_resp_model = AlertSuccessResp.from_dict(alert_success_resp_model_json)
assert alert_success_resp_model != False
# Construct a model instance of AlertSuccessResp by calling from_dict on the json representation
alert_success_resp_model_dict = AlertSuccessResp.from_dict(alert_success_resp_model_json).__dict__
alert_success_resp_model2 = AlertSuccessResp(**alert_success_resp_model_dict)
# Verify the model instances are equivalent
assert alert_success_resp_model == alert_success_resp_model2
# Convert model instance back to dict and verify no loss of data
alert_success_resp_model_json2 = alert_success_resp_model.to_dict()
assert alert_success_resp_model_json2 == alert_success_resp_model_json
class TestModel_GetAlertPolicyResp():
"""
Test Class for GetAlertPolicyResp
"""
def test_get_alert_policy_resp_serialization(self):
"""
Test serialization/deserialization for GetAlertPolicyResp
"""
# Construct dict forms of any model objects needed in order to build this model.
get_alert_policy_resp_errors_item_model = {} # GetAlertPolicyRespErrorsItem
get_alert_policy_resp_errors_item_model['id'] = 'testString'
get_alert_policy_resp_messages_item_model = {} # GetAlertPolicyRespMessagesItem
get_alert_policy_resp_messages_item_model['id'] = 'testString'
get_alert_policy_resp_result_mechanisms_email_item_model = {} # GetAlertPolicyRespResultMechanismsEmailItem
get_alert_policy_resp_result_mechanisms_email_item_model['id'] = 'mynotifications@email.com'
get_alert_policy_resp_result_mechanisms_webhooks_item_model = {} # GetAlertPolicyRespResultMechanismsWebhooksItem
get_alert_policy_resp_result_mechanisms_webhooks_item_model['id'] = 'f0413b106d2c4aa9b1553d5d0209c522'
get_alert_policy_resp_result_mechanisms_model = {} # GetAlertPolicyRespResultMechanisms
get_alert_policy_resp_result_mechanisms_model['email'] = [get_alert_policy_resp_result_mechanisms_email_item_model]
get_alert_policy_resp_result_mechanisms_model['webhooks'] = [get_alert_policy_resp_result_mechanisms_webhooks_item_model]
get_alert_policy_resp_result_model = {} # GetAlertPolicyRespResult
get_alert_policy_resp_result_model['id'] = 'f0413b106d2c4aa9b1553d5d0209c522'
get_alert_policy_resp_result_model['name'] = 'My Alert Policy'
get_alert_policy_resp_result_model['description'] = 'Description for my alert policy'
get_alert_policy_resp_result_model['enabled'] = True
get_alert_policy_resp_result_model['alert_type'] = 'dos_attack_l7'
get_alert_policy_resp_result_model['mechanisms'] = get_alert_policy_resp_result_mechanisms_model
get_alert_policy_resp_result_model['created'] = '2021-09-15T16:33:31.834209Z'
get_alert_policy_resp_result_model['modified'] = '2021-09-15T16:33:31.834209Z'
get_alert_policy_resp_result_model['conditions'] = { 'foo': 'bar' }
get_alert_policy_resp_result_model['filters'] = { 'foo': 'bar' }
# Construct a json representation of a GetAlertPolicyResp model
get_alert_policy_resp_model_json = {}
get_alert_policy_resp_model_json['success'] = True
get_alert_policy_resp_model_json['errors'] = [get_alert_policy_resp_errors_item_model]
get_alert_policy_resp_model_json['messages'] = [get_alert_policy_resp_messages_item_model]
get_alert_policy_resp_model_json['result'] = get_alert_policy_resp_result_model
# Construct a model instance of GetAlertPolicyResp by calling from_dict on the json representation
get_alert_policy_resp_model = GetAlertPolicyResp.from_dict(get_alert_policy_resp_model_json)
assert get_alert_policy_resp_model != False
# Construct a model instance of GetAlertPolicyResp by calling from_dict on the json representation
get_alert_policy_resp_model_dict = GetAlertPolicyResp.from_dict(get_alert_policy_resp_model_json).__dict__
get_alert_policy_resp_model2 = GetAlertPolicyResp(**get_alert_policy_resp_model_dict)
# Verify the model instances are equivalent
assert get_alert_policy_resp_model == get_alert_policy_resp_model2
# Convert model instance back to dict and verify no loss of data
get_alert_policy_resp_model_json2 = get_alert_policy_resp_model.to_dict()
assert get_alert_policy_resp_model_json2 == get_alert_policy_resp_model_json
class TestModel_ListAlertPoliciesResp():
"""
Test Class for ListAlertPoliciesResp
"""
def test_list_alert_policies_resp_serialization(self):
"""
Test serialization/deserialization for ListAlertPoliciesResp
"""
# Construct dict forms of any model objects needed in order to build this model.
list_alert_policies_resp_errors_item_model = {} # ListAlertPoliciesRespErrorsItem
list_alert_policies_resp_errors_item_model['id'] = 'testString'
list_alert_policies_resp_messages_item_model = {} # ListAlertPoliciesRespMessagesItem
list_alert_policies_resp_messages_item_model['id'] = 'testString'
list_alert_policies_resp_result_item_mechanisms_email_item_model = {} # ListAlertPoliciesRespResultItemMechanismsEmailItem
list_alert_policies_resp_result_item_mechanisms_email_item_model['id'] = 'mynotifications@email.com'
list_alert_policies_resp_result_item_mechanisms_webhooks_item_model = {} # ListAlertPoliciesRespResultItemMechanismsWebhooksItem
list_alert_policies_resp_result_item_mechanisms_webhooks_item_model['id'] = 'f0413b106d2c4aa9b1553d5d0209c522'
list_alert_policies_resp_result_item_mechanisms_model = {} # ListAlertPoliciesRespResultItemMechanisms
list_alert_policies_resp_result_item_mechanisms_model['email'] = [list_alert_policies_resp_result_item_mechanisms_email_item_model]
list_alert_policies_resp_result_item_mechanisms_model['webhooks'] = [list_alert_policies_resp_result_item_mechanisms_webhooks_item_model]
list_alert_policies_resp_result_item_model = {} # ListAlertPoliciesRespResultItem
list_alert_policies_resp_result_item_model['id'] = 'f0413b106d2c4aa9b1553d5d0209c522'
list_alert_policies_resp_result_item_model['name'] = 'My Alert Policy'
list_alert_policies_resp_result_item_model['description'] = 'Description for my alert policy'
list_alert_policies_resp_result_item_model['enabled'] = True
list_alert_policies_resp_result_item_model['alert_type'] = 'dos_attack_l7'
list_alert_policies_resp_result_item_model['mechanisms'] = list_alert_policies_resp_result_item_mechanisms_model
list_alert_policies_resp_result_item_model['created'] = '2021-09-15T16:33:31.834209Z'
list_alert_policies_resp_result_item_model['modified'] = '2021-09-15T16:33:31.834209Z'
list_alert_policies_resp_result_item_model['conditions'] = { 'foo': 'bar' }
list_alert_policies_resp_result_item_model['filters'] = { 'foo': 'bar' }
# Construct a json representation of a ListAlertPoliciesResp model
list_alert_policies_resp_model_json = {}
list_alert_policies_resp_model_json['success'] = True
list_alert_policies_resp_model_json['errors'] = [list_alert_policies_resp_errors_item_model]
list_alert_policies_resp_model_json['messages'] = [list_alert_policies_resp_messages_item_model]
list_alert_policies_resp_model_json['result'] = [list_alert_policies_resp_result_item_model]
# Construct a model instance of ListAlertPoliciesResp by calling from_dict on the json representation
list_alert_policies_resp_model = ListAlertPoliciesResp.from_dict(list_alert_policies_resp_model_json)
assert list_alert_policies_resp_model != False
# Construct a model instance of ListAlertPoliciesResp by calling from_dict on the json representation
list_alert_policies_resp_model_dict = ListAlertPoliciesResp.from_dict(list_alert_policies_resp_model_json).__dict__
list_alert_policies_resp_model2 = ListAlertPoliciesResp(**list_alert_policies_resp_model_dict)
# Verify the model instances are equivalent
assert list_alert_policies_resp_model == list_alert_policies_resp_model2
# Convert model instance back to dict and verify no loss of data
list_alert_policies_resp_model_json2 = list_alert_policies_resp_model.to_dict()
assert list_alert_policies_resp_model_json2 == list_alert_policies_resp_model_json
# endregion
##############################################################################
# End of Model Tests
##############################################################################
| 54.162393
| 505
| 0.754057
| 9,386
| 82,381
| 6.120179
| 0.031004
| 0.07832
| 0.045331
| 0.052956
| 0.911166
| 0.900338
| 0.87675
| 0.837494
| 0.784138
| 0.712468
| 0
| 0.016849
| 0.17799
| 82,381
| 1,520
| 506
| 54.198026
| 0.831433
| 0.237676
| 0
| 0.438992
| 0
| 0.015915
| 0.105595
| 0.035231
| 0
| 0
| 0
| 0
| 0.135279
| 1
| 0.075597
| false
| 0
| 0.011936
| 0
| 0.140584
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
f13891b471befbf194760051d8124301f81644c4
| 631
|
py
|
Python
|
Codewars/8kyu/fix-the-bugs-syntax-my-first-kata/Python/test.py
|
RevansChen/online-judge
|
ad1b07fee7bd3c49418becccda904e17505f3018
|
[
"MIT"
] | 7
|
2017-09-20T16:40:39.000Z
|
2021-08-31T18:15:08.000Z
|
Codewars/8kyu/fix-the-bugs-syntax-my-first-kata/Python/test.py
|
RevansChen/online-judge
|
ad1b07fee7bd3c49418becccda904e17505f3018
|
[
"MIT"
] | null | null | null |
Codewars/8kyu/fix-the-bugs-syntax-my-first-kata/Python/test.py
|
RevansChen/online-judge
|
ad1b07fee7bd3c49418becccda904e17505f3018
|
[
"MIT"
] | null | null | null |
# Python - 2.7.6
Test.describe('Basic Tests')
Test.assert_equals(my_first_kata(3, 5), (3 % 5 + 5 % 3))
Test.assert_equals(my_first_kata('hello', 3), False)
Test.assert_equals(my_first_kata(67, 'bye'), False)
Test.assert_equals(my_first_kata(True, True), False)
Test.assert_equals(my_first_kata(314, 107), (107 % 314 + 314 % 107))
Test.assert_equals(my_first_kata(1, 32), (1 % 32 + 32 % 1))
Test.assert_equals(my_first_kata(-1, -1), (-1 % -1 + -1 % -1))
Test.assert_equals(my_first_kata(19483, 9), (9 % 19483 + 19483 % 9))
Test.assert_equals(my_first_kata('hello', {}), False)
Test.assert_equals(my_first_kata([], 'pippi'), False)
| 45.071429
| 68
| 0.700475
| 111
| 631
| 3.711712
| 0.243243
| 0.242718
| 0.38835
| 0.436893
| 0.747573
| 0.737864
| 0.67233
| 0
| 0
| 0
| 0
| 0.111702
| 0.106181
| 631
| 13
| 69
| 48.538462
| 0.618794
| 0.022187
| 0
| 0
| 0
| 0
| 0.047154
| 0
| 0
| 0
| 0
| 0
| 0.909091
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
74ba1c013d2fda3f9059a18335646510eeb7a112
| 215
|
py
|
Python
|
diss/experiment/__init__.py
|
mvcisback/DISS
|
3ac94d62d2f10e2642a5ea7ef27b1ed045664abc
|
[
"MIT"
] | null | null | null |
diss/experiment/__init__.py
|
mvcisback/DISS
|
3ac94d62d2f10e2642a5ea7ef27b1ed045664abc
|
[
"MIT"
] | null | null | null |
diss/experiment/__init__.py
|
mvcisback/DISS
|
3ac94d62d2f10e2642a5ea7ef27b1ed045664abc
|
[
"MIT"
] | null | null | null |
from diss.experiment.concept_class import PartialDFAIdentifier, ignore_white
from diss.experiment.concept_class import PARTIAL_DFA, BASE_EXAMPLES
from diss.experiment.vis import view_dfa, print_map, print_trc, tile
| 53.75
| 76
| 0.869767
| 31
| 215
| 5.774194
| 0.612903
| 0.134078
| 0.301676
| 0.27933
| 0.402235
| 0.402235
| 0
| 0
| 0
| 0
| 0
| 0
| 0.07907
| 215
| 3
| 77
| 71.666667
| 0.90404
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0.333333
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
74e80055d59ce34c8e0ee8e6bd318af746540dad
| 9,748
|
py
|
Python
|
plate_reader_evolution/mic.py
|
microbial-pangenomes-lab/plate_reader_evolution
|
bf98a236013114b91df192bc5560c2a4762fc140
|
[
"MIT"
] | null | null | null |
plate_reader_evolution/mic.py
|
microbial-pangenomes-lab/plate_reader_evolution
|
bf98a236013114b91df192bc5560c2a4762fc140
|
[
"MIT"
] | null | null | null |
plate_reader_evolution/mic.py
|
microbial-pangenomes-lab/plate_reader_evolution
|
bf98a236013114b91df192bc5560c2a4762fc140
|
[
"MIT"
] | null | null | null |
# Copyright 2019 Marco Galardini
import logging
import numpy as np
import pandas as pd
from scipy import stats
from scipy.optimize import curve_fit
logger = logging.getLogger('evol.mic')
def compute_mic(values, threshold=0.3, normalise=None):
"""Compute MIC
Args:
values (pandas.Series)
MIC curve data, must contain `concentration`, `od600`
and `strain` columns
threshold (float)
OD values above the threshold
are considered growth
normalise (float or None)
Whether to normalise the data (i.e. bringing it to a 0-1 range).
The provided value is used to compute the minimum values to have
a more robust normalization (the mean of od600 below this
value is used)
Returns:
mic (float)
MIC estimate
"""
y = values['od600']
v = None
if normalise is not None:
# robust normalisation
# use an average of all OD values
# below a sensible OD threshold
ymin = y[y <= normalise]
# also remove artifacts from very high
# OD values
if y.max() > 0.5:
ymax = np.mean(y[y > 0.5])
else:
ymax = y.max()
if ymin.shape[0] == 0:
v = values['concentration'].max()
else:
ymin = np.mean(ymin)
y = (y - ymin) / (ymax - ymin)
if v is None:
# tentative MIC value
v = values[y < threshold]['concentration']
if v.shape[0] == 0:
v = values['concentration'].max()
else:
v = v.min()
# check that there are no values above threshold with higher conc.
w = values[y >= threshold]['concentration'].max()
if w > v:
return np.nan
return v
def hill_func(x, a, b, c, d):
"""Hill function
commonly used to fit MIC curves
Args:
x (numpy.array)
Concentration vector (n, 1)
a (float)
b (float)
c (float)
d (float)
Returns:
y (float)
"""
return a+(b-a)/(1+(x/c)**d)
def fit_hill(v, estimate=True, sanity=None, normalise=None, maxfev=999999):
"""Fit the Hill function to a MIC curve
Args:
v (pandas.DataFrame)
MIC curve data, must contain `concentration` and `od600` columns
estimate (bool)
Whether to estimate the initial values for the parameters
sanity (float or None)
Whether to check if the data is an actual Hill curve,
if the delta between highest and lowest OD is below
this value, do not fit the curve.
Additionally, if the Spearman correlation between OD and
[treatment] is above 0.2 or the maximum OD is above 0.2,
the curve is also not fitted.
normalise (float or None)
Whether to normalise the data (i.e. bringing it to a 0-1 range).
The provided value is used to compute the minimum values to have
a more robust normalization (the mean of od600 below this
value is used)
maxfev (int)
Maximum iterations for curve fitting
Returns:
out (pd.Series)
Fitted curve parameters and standard deviations
"""
index = ['a', 'b', 'c', 'd',
'SDa', 'SDb',
'SDc', 'SDd']
v = v[v['concentration'] != 0]
x = v['concentration'].values
y = v['od600'].values
if normalise is not None:
# robust normalisation
# use an average of all OD values
# below a sensible OD threshold
ymin = y[y <= normalise]
if ymin.shape[0] == 0:
c = v['concentration'].max()
return pd.Series([np.nan, np.nan, c, np.nan,
np.nan, np.nan, np.nan, np.nan],
index=index)
ymin = np.mean(ymin)
y = (y - ymin) / (y.max() - ymin)
if estimate:
p0 = [y.min(),
y.max(),
x.mean(),
1.0]
else:
p0 = None
if sanity is not None:
discard = False
if abs(y.max() - y.min()) <= sanity:
discard = True
if stats.spearmanr(x, y)[0] > 0.2:
discard = True
if y.max() < 0.2:
discard = True
if discard:
if y.mean() < 0.1:
c = x.min()
else:
c = x.max()
return pd.Series([np.nan, np.nan, c, np.nan,
np.nan, np.nan, np.nan, np.nan],
index=index)
try:
params = curve_fit(hill_func,
x, y,
p0=p0,
maxfev=maxfev)
[a, b, c, d] = params[0]
pcov = params[1]
[sda, sdb, sdc, sdd] = np.sqrt(np.diag(pcov))
if c > x.max():
return pd.Series([np.nan, np.nan, x.max(), np.nan,
np.nan, np.nan, np.nan, np.nan],
index=index)
return pd.Series([a, b, c, d, sda, sdb, sdc, sdd],
index=index)
except RuntimeError as e:
logger.warning(str(e))
return pd.Series([np.nan, np.nan, np.nan, np.nan,
np.nan, np.nan, np.nan, np.nan],
index=index)
def mod_gompertz(x, A, B, C, M):
"""Modified Gompertz function
Commonly used to fit MIC curves
ref: doi:10.1046/j.1365-2672.2000.01017.x
thanks to Emma Briars for the tip
Args:
x (numpy.array)
Concentration vector in log10 (n, 1)
A (float)
B (float)
C (float)
M (float)
Returns:
y (float)
"""
return A + C * np.exp(-np.exp(B * (x - M)))
def fit_gompertz(v, estimate=True, sanity=None, normalise=None, maxfev=999999):
"""Fit the Gompertz function to a MIC curve
Args:
v (pandas.DataFrame)
MIC curve data, must contain `concentration` and `od600` columns
estimate (bool)
Whether to estimate the initial values for the parameters
sanity (float or None)
Whether to check if the data is an actual Hill curve,
if the delta between highest and lowest OD is below
this value, do not fit the curve.
Additionally, if the Spearman correlation between OD and
[treatment] is above 0.2 or the maximum OD is above 0.2,
the curve is also not fitted.
normalise (float or None)
Whether to normalise the data (i.e. bringing it to a 0-1 range).
The provided value is used to compute the minimum values to have
a more robust normalization (the mean of od600 below this
value is used)
maxfev (int)
Maximum iterations for curve fitting
Returns:
out (pd.Series)
Fitted curve parameters and standard deviations
"""
index = ['a', 'b', 'c', 'd',
'SDa', 'SDb',
'SDc', 'SDd', 'mic']
v = v[v['concentration'] != 0]
x = np.log10(v['concentration'].values)
y = v['od600'].values
if normalise is not None:
# robust normalisation
# use an average of all OD values
# below a sensible OD threshold
ymin = y[y <= normalise]
if ymin.shape[0] == 0:
mic = v['concentration'].max()
return pd.Series([np.nan, np.nan, np.nan, np.nan,
np.nan, np.nan, np.nan, np.nan,
mic],
index=index)
ymin = np.mean(ymin)
y = (y - ymin) / (y.max() - ymin)
if estimate:
p0 = [y.min() / 10,
0.8,
1,
x.max() / 2]
else:
p0 = None
if sanity is not None:
discard = False
yab = v['od600']
if abs(yab.max() - yab.min()) <= sanity:
discard = True
if stats.spearmanr(x, y)[0] > 0.2:
discard = True
if y.max() < 0.2:
discard = True
if discard:
if y.mean() < 0.1:
mic = v[v['concentration'] != 0]['concentration'].min()
else:
mic = v['concentration'].max()
return pd.Series([np.nan, np.nan, np.nan, np.nan,
np.nan, np.nan, np.nan, np.nan,
mic],
index=index)
try:
params = curve_fit(mod_gompertz,
x, y,
p0=p0,
maxfev=maxfev)
[a, b, c, d] = params[0]
mic = 10**(d + 1/b)
pcov = params[1]
[sda, sdb, sdc, sdd] = np.sqrt(np.diag(pcov))
if mic > v['concentration'].max():
return pd.Series([np.nan, np.nan, np.nan, np.nan,
np.nan, np.nan, np.nan, np.nan,
v['concentration'].max()],
index=index)
if mic < v['concentration'].min():
return pd.Series([np.nan, np.nan, np.nan, np.nan,
np.nan, np.nan, np.nan, np.nan,
v[v['concentration'] != 0]['concentration'].min()],
index=index)
return pd.Series([a, b, c, d, sda, sdb, sdc, sdd, mic],
index=index)
except RuntimeError as e:
logger.warning(str(e))
return pd.Series([np.nan, np.nan, np.nan, np.nan,
np.nan, np.nan, np.nan, np.nan,
np.nan],
index=index)
| 33.613793
| 81
| 0.492614
| 1,251
| 9,748
| 3.830536
| 0.147882
| 0.074082
| 0.084725
| 0.121035
| 0.804674
| 0.803422
| 0.743531
| 0.725167
| 0.702629
| 0.701377
| 0
| 0.024731
| 0.398543
| 9,748
| 289
| 82
| 33.730104
| 0.792598
| 0.352277
| 0
| 0.639752
| 0
| 0
| 0.050118
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.031056
| false
| 0
| 0.031056
| 0
| 0.15528
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
74f20f729f6077499143dc55325a5aa4dfdd6367
| 159
|
py
|
Python
|
python/inherit2.py
|
robotlightsyou/test
|
015f13943fc402d8ce86c5f6d2f5a7d032b3340a
|
[
"MIT"
] | 2
|
2019-05-26T15:09:34.000Z
|
2021-09-12T08:01:23.000Z
|
python/inherit2.py
|
robotlightsyou/test
|
015f13943fc402d8ce86c5f6d2f5a7d032b3340a
|
[
"MIT"
] | null | null | null |
python/inherit2.py
|
robotlightsyou/test
|
015f13943fc402d8ce86c5f6d2f5a7d032b3340a
|
[
"MIT"
] | 1
|
2021-04-11T20:28:21.000Z
|
2021-04-11T20:28:21.000Z
|
class Parent1:
def __call__(self):
return 'parent1'
class Parent2:
def foo(self):
return 'parent2'
class Child1(Parent1):
pass
| 12.230769
| 24
| 0.610063
| 18
| 159
| 5.166667
| 0.555556
| 0.215054
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.053571
| 0.295597
| 159
| 12
| 25
| 13.25
| 0.776786
| 0
| 0
| 0
| 0
| 0
| 0.08805
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0.125
| 0
| 0.25
| 0.875
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
|
0
| 6
|
2d3f0b588d0bc091eff58855e32335882dd9588b
| 163
|
py
|
Python
|
src/pulseio.py
|
MatthewWilkes/Adafruit_Blinka
|
81790ff48cfc2a68f198997d71313384c661bb3d
|
[
"MIT"
] | null | null | null |
src/pulseio.py
|
MatthewWilkes/Adafruit_Blinka
|
81790ff48cfc2a68f198997d71313384c661bb3d
|
[
"MIT"
] | null | null | null |
src/pulseio.py
|
MatthewWilkes/Adafruit_Blinka
|
81790ff48cfc2a68f198997d71313384c661bb3d
|
[
"MIT"
] | null | null | null |
from adafruit_blinka.agnostic import detector
if detector.board.any_raspberry_pi:
from adafruit_blinka.microcontroller.bcm283x.pulseio.PulseIn import PulseIn
| 32.6
| 79
| 0.858896
| 21
| 163
| 6.47619
| 0.714286
| 0.176471
| 0.264706
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.02027
| 0.092025
| 163
| 4
| 80
| 40.75
| 0.898649
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
2d452bbaad110ccfc7a3b545b00510df6698d8b2
| 526,072
|
py
|
Python
|
src/acetime/zonedb/zone_infos.py
|
bxparks/AceTimePython
|
d4eae67aa2fce307a3a683ca6e85e488383ec471
|
[
"MIT"
] | 1
|
2021-09-09T06:31:41.000Z
|
2021-09-09T06:31:41.000Z
|
src/acetime/zonedb/zone_infos.py
|
bxparks/AceTimePython
|
d4eae67aa2fce307a3a683ca6e85e488383ec471
|
[
"MIT"
] | null | null | null |
src/acetime/zonedb/zone_infos.py
|
bxparks/AceTimePython
|
d4eae67aa2fce307a3a683ca6e85e488383ec471
|
[
"MIT"
] | null | null | null |
# This file was generated by the following script:
#
# $ /home/brian/src/AceTimeTools/src/acetimetools/tzcompiler.py
# --input_dir /home/brian/dev/tz
# --output_dir /home/brian/src/AceTimePython/src/acetime/zonedb
# --tz_version 2021e
# --action zonedb
# --language python
# --scope extended
# --start_year 1974
# --until_year 2050
#
# using the TZ Database files
#
# africa
# antarctica
# asia
# australasia
# backward
# etcetera
# europe
# northamerica
# southamerica
#
# from https://github.com/eggert/tz/releases/tag/2021e
#
# DO NOT EDIT
from typing import List
from ..zonedb_types import (
ZoneEra,
ZoneInfo,
)
from .zone_policies import *
# ---------------------------------------------------------------------------
# Zone Context
# ---------------------------------------------------------------------------
TZDB_VERSION = '2021e'
START_YEAR = 1974
UNTIL_YEAR = 2050
# ---------------------------------------------------------------------------
# Supported zones: 377
# numEras: 1061
# ---------------------------------------------------------------------------
# ---------------------------------------------------------------------------
# Zone name: Africa/Abidjan
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Africa_Abidjan: List[ZoneEra] = [
# 0:00 - GMT
{
'offset_seconds': 0,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'GMT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Africa_Abidjan: ZoneInfo = {
'name': 'Africa/Abidjan',
'eras': ZONE_ERAS_Africa_Abidjan
}
# ---------------------------------------------------------------------------
# Zone name: Africa/Algiers
# Era count: 4
# ---------------------------------------------------------------------------
ZONE_ERAS_Africa_Algiers: List[ZoneEra] = [
# 0:00 Algeria WE%sT 1977 Oct 21
{
'offset_seconds': 0,
'zone_policy': ZONE_POLICY_Algeria,
'rules_delta_seconds': 0,
'format': 'WE%sT',
'until_year': 1977,
'until_month': 10,
'until_day': 21,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 1:00 Algeria CE%sT 1979 Oct 26
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_Algeria,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 1979,
'until_month': 10,
'until_day': 26,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 0:00 Algeria WE%sT 1981 May
{
'offset_seconds': 0,
'zone_policy': ZONE_POLICY_Algeria,
'rules_delta_seconds': 0,
'format': 'WE%sT',
'until_year': 1981,
'until_month': 5,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 1:00 - CET
{
'offset_seconds': 3600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'CET',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Africa_Algiers: ZoneInfo = {
'name': 'Africa/Algiers',
'eras': ZONE_ERAS_Africa_Algiers
}
# ---------------------------------------------------------------------------
# Zone name: Africa/Bissau
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Africa_Bissau: List[ZoneEra] = [
# -1:00 - -01 1975
{
'offset_seconds': -3600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-01',
'until_year': 1975,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 0:00 - GMT
{
'offset_seconds': 0,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'GMT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Africa_Bissau: ZoneInfo = {
'name': 'Africa/Bissau',
'eras': ZONE_ERAS_Africa_Bissau
}
# ---------------------------------------------------------------------------
# Zone name: Africa/Cairo
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Africa_Cairo: List[ZoneEra] = [
# 2:00 Egypt EE%sT
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_Egypt,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Africa_Cairo: ZoneInfo = {
'name': 'Africa/Cairo',
'eras': ZONE_ERAS_Africa_Cairo
}
# ---------------------------------------------------------------------------
# Zone name: Africa/Casablanca
# Era count: 4
# ---------------------------------------------------------------------------
ZONE_ERAS_Africa_Casablanca: List[ZoneEra] = [
# 0:00 Morocco +00/+01 1984 Mar 16
{
'offset_seconds': 0,
'zone_policy': ZONE_POLICY_Morocco,
'rules_delta_seconds': 0,
'format': '+00/+01',
'until_year': 1984,
'until_month': 3,
'until_day': 16,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 1:00 - +01 1986
{
'offset_seconds': 3600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+01',
'until_year': 1986,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 0:00 Morocco +00/+01 2018 Oct 28 3:00
{
'offset_seconds': 0,
'zone_policy': ZONE_POLICY_Morocco,
'rules_delta_seconds': 0,
'format': '+00/+01',
'until_year': 2018,
'until_month': 10,
'until_day': 28,
'until_seconds': 10800,
'until_time_suffix': 'w',
},
# 1:00 Morocco +01/+00
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_Morocco,
'rules_delta_seconds': 0,
'format': '+01/+00',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Africa_Casablanca: ZoneInfo = {
'name': 'Africa/Casablanca',
'eras': ZONE_ERAS_Africa_Casablanca
}
# ---------------------------------------------------------------------------
# Zone name: Africa/Ceuta
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_Africa_Ceuta: List[ZoneEra] = [
# 0:00 SpainAfrica WE%sT 1984 Mar 16
{
'offset_seconds': 0,
'zone_policy': ZONE_POLICY_SpainAfrica,
'rules_delta_seconds': 0,
'format': 'WE%sT',
'until_year': 1984,
'until_month': 3,
'until_day': 16,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 1:00 - CET 1986
{
'offset_seconds': 3600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'CET',
'until_year': 1986,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 1:00 EU CE%sT
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Africa_Ceuta: ZoneInfo = {
'name': 'Africa/Ceuta',
'eras': ZONE_ERAS_Africa_Ceuta
}
# ---------------------------------------------------------------------------
# Zone name: Africa/El_Aaiun
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_Africa_El_Aaiun: List[ZoneEra] = [
# -1:00 - -01 1976 Apr 14
{
'offset_seconds': -3600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-01',
'until_year': 1976,
'until_month': 4,
'until_day': 14,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 0:00 Morocco +00/+01 2018 Oct 28 3:00
{
'offset_seconds': 0,
'zone_policy': ZONE_POLICY_Morocco,
'rules_delta_seconds': 0,
'format': '+00/+01',
'until_year': 2018,
'until_month': 10,
'until_day': 28,
'until_seconds': 10800,
'until_time_suffix': 'w',
},
# 1:00 Morocco +01/+00
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_Morocco,
'rules_delta_seconds': 0,
'format': '+01/+00',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Africa_El_Aaiun: ZoneInfo = {
'name': 'Africa/El_Aaiun',
'eras': ZONE_ERAS_Africa_El_Aaiun
}
# ---------------------------------------------------------------------------
# Zone name: Africa/Johannesburg
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Africa_Johannesburg: List[ZoneEra] = [
# 2:00 SA SAST
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_SA,
'rules_delta_seconds': 0,
'format': 'SAST',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Africa_Johannesburg: ZoneInfo = {
'name': 'Africa/Johannesburg',
'eras': ZONE_ERAS_Africa_Johannesburg
}
# ---------------------------------------------------------------------------
# Zone name: Africa/Juba
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_Africa_Juba: List[ZoneEra] = [
# 2:00 Sudan CA%sT 2000 Jan 15 12:00
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_Sudan,
'rules_delta_seconds': 0,
'format': 'CA%sT',
'until_year': 2000,
'until_month': 1,
'until_day': 15,
'until_seconds': 43200,
'until_time_suffix': 'w',
},
# 3:00 - EAT 2021 Feb 1 00:00
{
'offset_seconds': 10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EAT',
'until_year': 2021,
'until_month': 2,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 2:00 - CAT
{
'offset_seconds': 7200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'CAT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Africa_Juba: ZoneInfo = {
'name': 'Africa/Juba',
'eras': ZONE_ERAS_Africa_Juba
}
# ---------------------------------------------------------------------------
# Zone name: Africa/Khartoum
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_Africa_Khartoum: List[ZoneEra] = [
# 2:00 Sudan CA%sT 2000 Jan 15 12:00
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_Sudan,
'rules_delta_seconds': 0,
'format': 'CA%sT',
'until_year': 2000,
'until_month': 1,
'until_day': 15,
'until_seconds': 43200,
'until_time_suffix': 'w',
},
# 3:00 - EAT 2017 Nov 1
{
'offset_seconds': 10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EAT',
'until_year': 2017,
'until_month': 11,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 2:00 - CAT
{
'offset_seconds': 7200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'CAT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Africa_Khartoum: ZoneInfo = {
'name': 'Africa/Khartoum',
'eras': ZONE_ERAS_Africa_Khartoum
}
# ---------------------------------------------------------------------------
# Zone name: Africa/Lagos
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Africa_Lagos: List[ZoneEra] = [
# 1:00 - WAT
{
'offset_seconds': 3600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'WAT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Africa_Lagos: ZoneInfo = {
'name': 'Africa/Lagos',
'eras': ZONE_ERAS_Africa_Lagos
}
# ---------------------------------------------------------------------------
# Zone name: Africa/Maputo
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Africa_Maputo: List[ZoneEra] = [
# 2:00 - CAT
{
'offset_seconds': 7200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'CAT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Africa_Maputo: ZoneInfo = {
'name': 'Africa/Maputo',
'eras': ZONE_ERAS_Africa_Maputo
}
# ---------------------------------------------------------------------------
# Zone name: Africa/Monrovia
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Africa_Monrovia: List[ZoneEra] = [
# 0:00 - GMT
{
'offset_seconds': 0,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'GMT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Africa_Monrovia: ZoneInfo = {
'name': 'Africa/Monrovia',
'eras': ZONE_ERAS_Africa_Monrovia
}
# ---------------------------------------------------------------------------
# Zone name: Africa/Nairobi
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Africa_Nairobi: List[ZoneEra] = [
# 3:00 - EAT
{
'offset_seconds': 10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EAT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Africa_Nairobi: ZoneInfo = {
'name': 'Africa/Nairobi',
'eras': ZONE_ERAS_Africa_Nairobi
}
# ---------------------------------------------------------------------------
# Zone name: Africa/Ndjamena
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_Africa_Ndjamena: List[ZoneEra] = [
# 1:00 - WAT 1979 Oct 14
{
'offset_seconds': 3600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'WAT',
'until_year': 1979,
'until_month': 10,
'until_day': 14,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 1:00 1:00 WAST 1980 Mar 8
{
'offset_seconds': 3600,
'zone_policy': ':',
'rules_delta_seconds': 3600,
'format': 'WAST',
'until_year': 1980,
'until_month': 3,
'until_day': 8,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 1:00 - WAT
{
'offset_seconds': 3600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'WAT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Africa_Ndjamena: ZoneInfo = {
'name': 'Africa/Ndjamena',
'eras': ZONE_ERAS_Africa_Ndjamena
}
# ---------------------------------------------------------------------------
# Zone name: Africa/Sao_Tome
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_Africa_Sao_Tome: List[ZoneEra] = [
# 0:00 - GMT 2018 Jan 1 01:00
{
'offset_seconds': 0,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'GMT',
'until_year': 2018,
'until_month': 1,
'until_day': 1,
'until_seconds': 3600,
'until_time_suffix': 'w',
},
# 1:00 - WAT 2019 Jan 1 02:00
{
'offset_seconds': 3600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'WAT',
'until_year': 2019,
'until_month': 1,
'until_day': 1,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# 0:00 - GMT
{
'offset_seconds': 0,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'GMT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Africa_Sao_Tome: ZoneInfo = {
'name': 'Africa/Sao_Tome',
'eras': ZONE_ERAS_Africa_Sao_Tome
}
# ---------------------------------------------------------------------------
# Zone name: Africa/Tripoli
# Era count: 7
# ---------------------------------------------------------------------------
ZONE_ERAS_Africa_Tripoli: List[ZoneEra] = [
# 2:00 - EET 1982
{
'offset_seconds': 7200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EET',
'until_year': 1982,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 1:00 Libya CE%sT 1990 May 4
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_Libya,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 1990,
'until_month': 5,
'until_day': 4,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 2:00 - EET 1996 Sep 30
{
'offset_seconds': 7200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EET',
'until_year': 1996,
'until_month': 9,
'until_day': 30,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 1:00 Libya CE%sT 1997 Oct 4
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_Libya,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 1997,
'until_month': 10,
'until_day': 4,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 2:00 - EET 2012 Nov 10 2:00
{
'offset_seconds': 7200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EET',
'until_year': 2012,
'until_month': 11,
'until_day': 10,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# 1:00 Libya CE%sT 2013 Oct 25 2:00
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_Libya,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 2013,
'until_month': 10,
'until_day': 25,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# 2:00 - EET
{
'offset_seconds': 7200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EET',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Africa_Tripoli: ZoneInfo = {
'name': 'Africa/Tripoli',
'eras': ZONE_ERAS_Africa_Tripoli
}
# ---------------------------------------------------------------------------
# Zone name: Africa/Tunis
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Africa_Tunis: List[ZoneEra] = [
# 1:00 Tunisia CE%sT
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_Tunisia,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Africa_Tunis: ZoneInfo = {
'name': 'Africa/Tunis',
'eras': ZONE_ERAS_Africa_Tunis
}
# ---------------------------------------------------------------------------
# Zone name: Africa/Windhoek
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Africa_Windhoek: List[ZoneEra] = [
# 2:00 - SAST 1990 Mar 21
{
'offset_seconds': 7200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'SAST',
'until_year': 1990,
'until_month': 3,
'until_day': 21,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 2:00 Namibia %s
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_Namibia,
'rules_delta_seconds': 0,
'format': '%s',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Africa_Windhoek: ZoneInfo = {
'name': 'Africa/Windhoek',
'eras': ZONE_ERAS_Africa_Windhoek
}
# ---------------------------------------------------------------------------
# Zone name: America/Adak
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Adak: List[ZoneEra] = [
# -11:00 US B%sT 1983 Oct 30 2:00
{
'offset_seconds': -39600,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'B%sT',
'until_year': 1983,
'until_month': 10,
'until_day': 30,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -10:00 US AH%sT 1983 Nov 30
{
'offset_seconds': -36000,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'AH%sT',
'until_year': 1983,
'until_month': 11,
'until_day': 30,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -10:00 US H%sT
{
'offset_seconds': -36000,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'H%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Adak: ZoneInfo = {
'name': 'America/Adak',
'eras': ZONE_ERAS_America_Adak
}
# ---------------------------------------------------------------------------
# Zone name: America/Anchorage
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Anchorage: List[ZoneEra] = [
# -10:00 US AH%sT 1983 Oct 30 2:00
{
'offset_seconds': -36000,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'AH%sT',
'until_year': 1983,
'until_month': 10,
'until_day': 30,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -9:00 US Y%sT 1983 Nov 30
{
'offset_seconds': -32400,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'Y%sT',
'until_year': 1983,
'until_month': 11,
'until_day': 30,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -9:00 US AK%sT
{
'offset_seconds': -32400,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'AK%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Anchorage: ZoneInfo = {
'name': 'America/Anchorage',
'eras': ZONE_ERAS_America_Anchorage
}
# ---------------------------------------------------------------------------
# Zone name: America/Araguaina
# Era count: 6
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Araguaina: List[ZoneEra] = [
# -3:00 Brazil -03/-02 1990 Sep 17
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Brazil,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 1990,
'until_month': 9,
'until_day': 17,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 - -03 1995 Sep 14
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 1995,
'until_month': 9,
'until_day': 14,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 Brazil -03/-02 2003 Sep 24
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Brazil,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 2003,
'until_month': 9,
'until_day': 24,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 - -03 2012 Oct 21
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 2012,
'until_month': 10,
'until_day': 21,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 Brazil -03/-02 2013 Sep
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Brazil,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 2013,
'until_month': 9,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 - -03
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Araguaina: ZoneInfo = {
'name': 'America/Araguaina',
'eras': ZONE_ERAS_America_Araguaina
}
# ---------------------------------------------------------------------------
# Zone name: America/Argentina/Buenos_Aires
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Argentina_Buenos_Aires: List[ZoneEra] = [
# -3:00 Arg -03/-02 1999 Oct 3
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 1999,
'until_month': 10,
'until_day': 3,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 Arg -04/-03 2000 Mar 3
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-04/-03',
'until_year': 2000,
'until_month': 3,
'until_day': 3,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 Arg -03/-02
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Argentina_Buenos_Aires: ZoneInfo = {
'name': 'America/Argentina/Buenos_Aires',
'eras': ZONE_ERAS_America_Argentina_Buenos_Aires
}
# ---------------------------------------------------------------------------
# Zone name: America/Argentina/Catamarca
# Era count: 8
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Argentina_Catamarca: List[ZoneEra] = [
# -3:00 Arg -03/-02 1991 Mar 3
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 1991,
'until_month': 3,
'until_day': 3,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 - -04 1991 Oct 20
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-04',
'until_year': 1991,
'until_month': 10,
'until_day': 20,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 Arg -03/-02 1999 Oct 3
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 1999,
'until_month': 10,
'until_day': 3,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 Arg -04/-03 2000 Mar 3
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-04/-03',
'until_year': 2000,
'until_month': 3,
'until_day': 3,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 - -03 2004 Jun 1
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 2004,
'until_month': 6,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 - -04 2004 Jun 20
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-04',
'until_year': 2004,
'until_month': 6,
'until_day': 20,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 Arg -03/-02 2008 Oct 18
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 2008,
'until_month': 10,
'until_day': 18,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 - -03
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Argentina_Catamarca: ZoneInfo = {
'name': 'America/Argentina/Catamarca',
'eras': ZONE_ERAS_America_Argentina_Catamarca
}
# ---------------------------------------------------------------------------
# Zone name: America/Argentina/Cordoba
# Era count: 5
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Argentina_Cordoba: List[ZoneEra] = [
# -3:00 Arg -03/-02 1991 Mar 3
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 1991,
'until_month': 3,
'until_day': 3,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 - -04 1991 Oct 20
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-04',
'until_year': 1991,
'until_month': 10,
'until_day': 20,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 Arg -03/-02 1999 Oct 3
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 1999,
'until_month': 10,
'until_day': 3,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 Arg -04/-03 2000 Mar 3
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-04/-03',
'until_year': 2000,
'until_month': 3,
'until_day': 3,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 Arg -03/-02
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Argentina_Cordoba: ZoneInfo = {
'name': 'America/Argentina/Cordoba',
'eras': ZONE_ERAS_America_Argentina_Cordoba
}
# ---------------------------------------------------------------------------
# Zone name: America/Argentina/Jujuy
# Era count: 9
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Argentina_Jujuy: List[ZoneEra] = [
# -3:00 Arg -03/-02 1990 Mar 4
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 1990,
'until_month': 3,
'until_day': 4,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 - -04 1990 Oct 28
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-04',
'until_year': 1990,
'until_month': 10,
'until_day': 28,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 1:00 -03 1991 Mar 17
{
'offset_seconds': -14400,
'zone_policy': ':',
'rules_delta_seconds': 3600,
'format': '-03',
'until_year': 1991,
'until_month': 3,
'until_day': 17,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 - -04 1991 Oct 6
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-04',
'until_year': 1991,
'until_month': 10,
'until_day': 6,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 1:00 -02 1992
{
'offset_seconds': -10800,
'zone_policy': ':',
'rules_delta_seconds': 3600,
'format': '-02',
'until_year': 1992,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 Arg -03/-02 1999 Oct 3
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 1999,
'until_month': 10,
'until_day': 3,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 Arg -04/-03 2000 Mar 3
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-04/-03',
'until_year': 2000,
'until_month': 3,
'until_day': 3,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 Arg -03/-02 2008 Oct 18
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 2008,
'until_month': 10,
'until_day': 18,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 - -03
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Argentina_Jujuy: ZoneInfo = {
'name': 'America/Argentina/Jujuy',
'eras': ZONE_ERAS_America_Argentina_Jujuy
}
# ---------------------------------------------------------------------------
# Zone name: America/Argentina/La_Rioja
# Era count: 8
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Argentina_La_Rioja: List[ZoneEra] = [
# -3:00 Arg -03/-02 1991 Mar 1
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 1991,
'until_month': 3,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 - -04 1991 May 7
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-04',
'until_year': 1991,
'until_month': 5,
'until_day': 7,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 Arg -03/-02 1999 Oct 3
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 1999,
'until_month': 10,
'until_day': 3,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 Arg -04/-03 2000 Mar 3
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-04/-03',
'until_year': 2000,
'until_month': 3,
'until_day': 3,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 - -03 2004 Jun 1
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 2004,
'until_month': 6,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 - -04 2004 Jun 20
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-04',
'until_year': 2004,
'until_month': 6,
'until_day': 20,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 Arg -03/-02 2008 Oct 18
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 2008,
'until_month': 10,
'until_day': 18,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 - -03
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Argentina_La_Rioja: ZoneInfo = {
'name': 'America/Argentina/La_Rioja',
'eras': ZONE_ERAS_America_Argentina_La_Rioja
}
# ---------------------------------------------------------------------------
# Zone name: America/Argentina/Mendoza
# Era count: 12
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Argentina_Mendoza: List[ZoneEra] = [
# -3:00 Arg -03/-02 1990 Mar 4
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 1990,
'until_month': 3,
'until_day': 4,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 - -04 1990 Oct 15
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-04',
'until_year': 1990,
'until_month': 10,
'until_day': 15,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 1:00 -03 1991 Mar 1
{
'offset_seconds': -14400,
'zone_policy': ':',
'rules_delta_seconds': 3600,
'format': '-03',
'until_year': 1991,
'until_month': 3,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 - -04 1991 Oct 15
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-04',
'until_year': 1991,
'until_month': 10,
'until_day': 15,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 1:00 -03 1992 Mar 1
{
'offset_seconds': -14400,
'zone_policy': ':',
'rules_delta_seconds': 3600,
'format': '-03',
'until_year': 1992,
'until_month': 3,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 - -04 1992 Oct 18
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-04',
'until_year': 1992,
'until_month': 10,
'until_day': 18,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 Arg -03/-02 1999 Oct 3
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 1999,
'until_month': 10,
'until_day': 3,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 Arg -04/-03 2000 Mar 3
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-04/-03',
'until_year': 2000,
'until_month': 3,
'until_day': 3,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 - -03 2004 May 23
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 2004,
'until_month': 5,
'until_day': 23,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 - -04 2004 Sep 26
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-04',
'until_year': 2004,
'until_month': 9,
'until_day': 26,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 Arg -03/-02 2008 Oct 18
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 2008,
'until_month': 10,
'until_day': 18,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 - -03
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Argentina_Mendoza: ZoneInfo = {
'name': 'America/Argentina/Mendoza',
'eras': ZONE_ERAS_America_Argentina_Mendoza
}
# ---------------------------------------------------------------------------
# Zone name: America/Argentina/Rio_Gallegos
# Era count: 6
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Argentina_Rio_Gallegos: List[ZoneEra] = [
# -3:00 Arg -03/-02 1999 Oct 3
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 1999,
'until_month': 10,
'until_day': 3,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 Arg -04/-03 2000 Mar 3
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-04/-03',
'until_year': 2000,
'until_month': 3,
'until_day': 3,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 - -03 2004 Jun 1
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 2004,
'until_month': 6,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 - -04 2004 Jun 20
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-04',
'until_year': 2004,
'until_month': 6,
'until_day': 20,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 Arg -03/-02 2008 Oct 18
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 2008,
'until_month': 10,
'until_day': 18,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 - -03
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Argentina_Rio_Gallegos: ZoneInfo = {
'name': 'America/Argentina/Rio_Gallegos',
'eras': ZONE_ERAS_America_Argentina_Rio_Gallegos
}
# ---------------------------------------------------------------------------
# Zone name: America/Argentina/Salta
# Era count: 6
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Argentina_Salta: List[ZoneEra] = [
# -3:00 Arg -03/-02 1991 Mar 3
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 1991,
'until_month': 3,
'until_day': 3,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 - -04 1991 Oct 20
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-04',
'until_year': 1991,
'until_month': 10,
'until_day': 20,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 Arg -03/-02 1999 Oct 3
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 1999,
'until_month': 10,
'until_day': 3,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 Arg -04/-03 2000 Mar 3
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-04/-03',
'until_year': 2000,
'until_month': 3,
'until_day': 3,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 Arg -03/-02 2008 Oct 18
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 2008,
'until_month': 10,
'until_day': 18,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 - -03
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Argentina_Salta: ZoneInfo = {
'name': 'America/Argentina/Salta',
'eras': ZONE_ERAS_America_Argentina_Salta
}
# ---------------------------------------------------------------------------
# Zone name: America/Argentina/San_Juan
# Era count: 8
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Argentina_San_Juan: List[ZoneEra] = [
# -3:00 Arg -03/-02 1991 Mar 1
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 1991,
'until_month': 3,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 - -04 1991 May 7
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-04',
'until_year': 1991,
'until_month': 5,
'until_day': 7,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 Arg -03/-02 1999 Oct 3
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 1999,
'until_month': 10,
'until_day': 3,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 Arg -04/-03 2000 Mar 3
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-04/-03',
'until_year': 2000,
'until_month': 3,
'until_day': 3,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 - -03 2004 May 31
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 2004,
'until_month': 5,
'until_day': 31,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 - -04 2004 Jul 25
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-04',
'until_year': 2004,
'until_month': 7,
'until_day': 25,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 Arg -03/-02 2008 Oct 18
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 2008,
'until_month': 10,
'until_day': 18,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 - -03
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Argentina_San_Juan: ZoneInfo = {
'name': 'America/Argentina/San_Juan',
'eras': ZONE_ERAS_America_Argentina_San_Juan
}
# ---------------------------------------------------------------------------
# Zone name: America/Argentina/San_Luis
# Era count: 12
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Argentina_San_Luis: List[ZoneEra] = [
# -3:00 Arg -03/-02 1990
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 1990,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 1:00 -02 1990 Mar 14
{
'offset_seconds': -10800,
'zone_policy': ':',
'rules_delta_seconds': 3600,
'format': '-02',
'until_year': 1990,
'until_month': 3,
'until_day': 14,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 - -04 1990 Oct 15
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-04',
'until_year': 1990,
'until_month': 10,
'until_day': 15,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 1:00 -03 1991 Mar 1
{
'offset_seconds': -14400,
'zone_policy': ':',
'rules_delta_seconds': 3600,
'format': '-03',
'until_year': 1991,
'until_month': 3,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 - -04 1991 Jun 1
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-04',
'until_year': 1991,
'until_month': 6,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 - -03 1999 Oct 3
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 1999,
'until_month': 10,
'until_day': 3,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 1:00 -03 2000 Mar 3
{
'offset_seconds': -14400,
'zone_policy': ':',
'rules_delta_seconds': 3600,
'format': '-03',
'until_year': 2000,
'until_month': 3,
'until_day': 3,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 - -03 2004 May 31
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 2004,
'until_month': 5,
'until_day': 31,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 - -04 2004 Jul 25
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-04',
'until_year': 2004,
'until_month': 7,
'until_day': 25,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 Arg -03/-02 2008 Jan 21
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 2008,
'until_month': 1,
'until_day': 21,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 SanLuis -04/-03 2009 Oct 11
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_SanLuis,
'rules_delta_seconds': 0,
'format': '-04/-03',
'until_year': 2009,
'until_month': 10,
'until_day': 11,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 - -03
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Argentina_San_Luis: ZoneInfo = {
'name': 'America/Argentina/San_Luis',
'eras': ZONE_ERAS_America_Argentina_San_Luis
}
# ---------------------------------------------------------------------------
# Zone name: America/Argentina/Tucuman
# Era count: 7
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Argentina_Tucuman: List[ZoneEra] = [
# -3:00 Arg -03/-02 1991 Mar 3
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 1991,
'until_month': 3,
'until_day': 3,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 - -04 1991 Oct 20
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-04',
'until_year': 1991,
'until_month': 10,
'until_day': 20,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 Arg -03/-02 1999 Oct 3
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 1999,
'until_month': 10,
'until_day': 3,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 Arg -04/-03 2000 Mar 3
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-04/-03',
'until_year': 2000,
'until_month': 3,
'until_day': 3,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 - -03 2004 Jun 1
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 2004,
'until_month': 6,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 - -04 2004 Jun 13
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-04',
'until_year': 2004,
'until_month': 6,
'until_day': 13,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 Arg -03/-02
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Argentina_Tucuman: ZoneInfo = {
'name': 'America/Argentina/Tucuman',
'eras': ZONE_ERAS_America_Argentina_Tucuman
}
# ---------------------------------------------------------------------------
# Zone name: America/Argentina/Ushuaia
# Era count: 6
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Argentina_Ushuaia: List[ZoneEra] = [
# -3:00 Arg -03/-02 1999 Oct 3
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 1999,
'until_month': 10,
'until_day': 3,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 Arg -04/-03 2000 Mar 3
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-04/-03',
'until_year': 2000,
'until_month': 3,
'until_day': 3,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 - -03 2004 May 30
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 2004,
'until_month': 5,
'until_day': 30,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 - -04 2004 Jun 20
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-04',
'until_year': 2004,
'until_month': 6,
'until_day': 20,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 Arg -03/-02 2008 Oct 18
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 2008,
'until_month': 10,
'until_day': 18,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 - -03
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Argentina_Ushuaia: ZoneInfo = {
'name': 'America/Argentina/Ushuaia',
'eras': ZONE_ERAS_America_Argentina_Ushuaia
}
# ---------------------------------------------------------------------------
# Zone name: America/Asuncion
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Asuncion: List[ZoneEra] = [
# -3:00 - -03 1974 Apr
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 1974,
'until_month': 4,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 Para -04/-03
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_Para,
'rules_delta_seconds': 0,
'format': '-04/-03',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Asuncion: ZoneInfo = {
'name': 'America/Asuncion',
'eras': ZONE_ERAS_America_Asuncion
}
# ---------------------------------------------------------------------------
# Zone name: America/Bahia
# Era count: 4
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Bahia: List[ZoneEra] = [
# -3:00 Brazil -03/-02 2003 Sep 24
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Brazil,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 2003,
'until_month': 9,
'until_day': 24,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 - -03 2011 Oct 16
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 2011,
'until_month': 10,
'until_day': 16,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 Brazil -03/-02 2012 Oct 21
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Brazil,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 2012,
'until_month': 10,
'until_day': 21,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 - -03
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Bahia: ZoneInfo = {
'name': 'America/Bahia',
'eras': ZONE_ERAS_America_Bahia
}
# ---------------------------------------------------------------------------
# Zone name: America/Bahia_Banderas
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Bahia_Banderas: List[ZoneEra] = [
# -7:00 Mexico M%sT 2010 Apr 4 2:00
{
'offset_seconds': -25200,
'zone_policy': ZONE_POLICY_Mexico,
'rules_delta_seconds': 0,
'format': 'M%sT',
'until_year': 2010,
'until_month': 4,
'until_day': 4,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -6:00 Mexico C%sT
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_Mexico,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Bahia_Banderas: ZoneInfo = {
'name': 'America/Bahia_Banderas',
'eras': ZONE_ERAS_America_Bahia_Banderas
}
# ---------------------------------------------------------------------------
# Zone name: America/Barbados
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Barbados: List[ZoneEra] = [
# -4:00 Barb A%sT
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_Barb,
'rules_delta_seconds': 0,
'format': 'A%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Barbados: ZoneInfo = {
'name': 'America/Barbados',
'eras': ZONE_ERAS_America_Barbados
}
# ---------------------------------------------------------------------------
# Zone name: America/Belem
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Belem: List[ZoneEra] = [
# -3:00 Brazil -03/-02 1988 Sep 12
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Brazil,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 1988,
'until_month': 9,
'until_day': 12,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 - -03
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Belem: ZoneInfo = {
'name': 'America/Belem',
'eras': ZONE_ERAS_America_Belem
}
# ---------------------------------------------------------------------------
# Zone name: America/Belize
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Belize: List[ZoneEra] = [
# -6:00 Belize %s
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_Belize,
'rules_delta_seconds': 0,
'format': '%s',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Belize: ZoneInfo = {
'name': 'America/Belize',
'eras': ZONE_ERAS_America_Belize
}
# ---------------------------------------------------------------------------
# Zone name: America/Boa_Vista
# Era count: 4
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Boa_Vista: List[ZoneEra] = [
# -4:00 Brazil -04/-03 1988 Sep 12
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_Brazil,
'rules_delta_seconds': 0,
'format': '-04/-03',
'until_year': 1988,
'until_month': 9,
'until_day': 12,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 - -04 1999 Sep 30
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-04',
'until_year': 1999,
'until_month': 9,
'until_day': 30,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 Brazil -04/-03 2000 Oct 15
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_Brazil,
'rules_delta_seconds': 0,
'format': '-04/-03',
'until_year': 2000,
'until_month': 10,
'until_day': 15,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 - -04
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-04',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Boa_Vista: ZoneInfo = {
'name': 'America/Boa_Vista',
'eras': ZONE_ERAS_America_Boa_Vista
}
# ---------------------------------------------------------------------------
# Zone name: America/Bogota
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Bogota: List[ZoneEra] = [
# -5:00 CO -05/-04
{
'offset_seconds': -18000,
'zone_policy': ZONE_POLICY_CO,
'rules_delta_seconds': 0,
'format': '-05/-04',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Bogota: ZoneInfo = {
'name': 'America/Bogota',
'eras': ZONE_ERAS_America_Bogota
}
# ---------------------------------------------------------------------------
# Zone name: America/Boise
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Boise: List[ZoneEra] = [
# -7:00 US M%sT 1974
{
'offset_seconds': -25200,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'M%sT',
'until_year': 1974,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -7:00 - MST 1974 Feb 3 2:00
{
'offset_seconds': -25200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'MST',
'until_year': 1974,
'until_month': 2,
'until_day': 3,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -7:00 US M%sT
{
'offset_seconds': -25200,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'M%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Boise: ZoneInfo = {
'name': 'America/Boise',
'eras': ZONE_ERAS_America_Boise
}
# ---------------------------------------------------------------------------
# Zone name: America/Cambridge_Bay
# Era count: 5
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Cambridge_Bay: List[ZoneEra] = [
# -7:00 NT_YK M%sT 1999 Oct 31 2:00
{
'offset_seconds': -25200,
'zone_policy': ZONE_POLICY_NT_YK,
'rules_delta_seconds': 0,
'format': 'M%sT',
'until_year': 1999,
'until_month': 10,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -6:00 Canada C%sT 2000 Oct 29 2:00
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_Canada,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 2000,
'until_month': 10,
'until_day': 29,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -5:00 - EST 2000 Nov 5 0:00
{
'offset_seconds': -18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EST',
'until_year': 2000,
'until_month': 11,
'until_day': 5,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -6:00 - CST 2001 Apr 1 3:00
{
'offset_seconds': -21600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'CST',
'until_year': 2001,
'until_month': 4,
'until_day': 1,
'until_seconds': 10800,
'until_time_suffix': 'w',
},
# -7:00 Canada M%sT
{
'offset_seconds': -25200,
'zone_policy': ZONE_POLICY_Canada,
'rules_delta_seconds': 0,
'format': 'M%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Cambridge_Bay: ZoneInfo = {
'name': 'America/Cambridge_Bay',
'eras': ZONE_ERAS_America_Cambridge_Bay
}
# ---------------------------------------------------------------------------
# Zone name: America/Campo_Grande
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Campo_Grande: List[ZoneEra] = [
# -4:00 Brazil -04/-03
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_Brazil,
'rules_delta_seconds': 0,
'format': '-04/-03',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Campo_Grande: ZoneInfo = {
'name': 'America/Campo_Grande',
'eras': ZONE_ERAS_America_Campo_Grande
}
# ---------------------------------------------------------------------------
# Zone name: America/Cancun
# Era count: 4
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Cancun: List[ZoneEra] = [
# -6:00 - CST 1981 Dec 23
{
'offset_seconds': -21600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'CST',
'until_year': 1981,
'until_month': 12,
'until_day': 23,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -5:00 Mexico E%sT 1998 Aug 2 2:00
{
'offset_seconds': -18000,
'zone_policy': ZONE_POLICY_Mexico,
'rules_delta_seconds': 0,
'format': 'E%sT',
'until_year': 1998,
'until_month': 8,
'until_day': 2,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -6:00 Mexico C%sT 2015 Feb 1 2:00
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_Mexico,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 2015,
'until_month': 2,
'until_day': 1,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -5:00 - EST
{
'offset_seconds': -18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EST',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Cancun: ZoneInfo = {
'name': 'America/Cancun',
'eras': ZONE_ERAS_America_Cancun
}
# ---------------------------------------------------------------------------
# Zone name: America/Caracas
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Caracas: List[ZoneEra] = [
# -4:00 - -04 2007 Dec 9 3:00
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-04',
'until_year': 2007,
'until_month': 12,
'until_day': 9,
'until_seconds': 10800,
'until_time_suffix': 'w',
},
# -4:30 - -0430 2016 May 1 2:30
{
'offset_seconds': -16200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-0430',
'until_year': 2016,
'until_month': 5,
'until_day': 1,
'until_seconds': 9000,
'until_time_suffix': 'w',
},
# -4:00 - -04
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-04',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Caracas: ZoneInfo = {
'name': 'America/Caracas',
'eras': ZONE_ERAS_America_Caracas
}
# ---------------------------------------------------------------------------
# Zone name: America/Cayenne
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Cayenne: List[ZoneEra] = [
# -3:00 - -03
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Cayenne: ZoneInfo = {
'name': 'America/Cayenne',
'eras': ZONE_ERAS_America_Cayenne
}
# ---------------------------------------------------------------------------
# Zone name: America/Chicago
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Chicago: List[ZoneEra] = [
# -6:00 US C%sT
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Chicago: ZoneInfo = {
'name': 'America/Chicago',
'eras': ZONE_ERAS_America_Chicago
}
# ---------------------------------------------------------------------------
# Zone name: America/Chihuahua
# Era count: 4
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Chihuahua: List[ZoneEra] = [
# -6:00 - CST 1996
{
'offset_seconds': -21600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'CST',
'until_year': 1996,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -6:00 Mexico C%sT 1998
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_Mexico,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 1998,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -6:00 - CST 1998 Apr Sun>=1 3:00
{
'offset_seconds': -21600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'CST',
'until_year': 1998,
'until_month': 4,
'until_day': 5,
'until_seconds': 10800,
'until_time_suffix': 'w',
},
# -7:00 Mexico M%sT
{
'offset_seconds': -25200,
'zone_policy': ZONE_POLICY_Mexico,
'rules_delta_seconds': 0,
'format': 'M%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Chihuahua: ZoneInfo = {
'name': 'America/Chihuahua',
'eras': ZONE_ERAS_America_Chihuahua
}
# ---------------------------------------------------------------------------
# Zone name: America/Costa_Rica
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Costa_Rica: List[ZoneEra] = [
# -6:00 CR C%sT
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_CR,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Costa_Rica: ZoneInfo = {
'name': 'America/Costa_Rica',
'eras': ZONE_ERAS_America_Costa_Rica
}
# ---------------------------------------------------------------------------
# Zone name: America/Cuiaba
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Cuiaba: List[ZoneEra] = [
# -4:00 Brazil -04/-03 2003 Sep 24
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_Brazil,
'rules_delta_seconds': 0,
'format': '-04/-03',
'until_year': 2003,
'until_month': 9,
'until_day': 24,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 - -04 2004 Oct 1
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-04',
'until_year': 2004,
'until_month': 10,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 Brazil -04/-03
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_Brazil,
'rules_delta_seconds': 0,
'format': '-04/-03',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Cuiaba: ZoneInfo = {
'name': 'America/Cuiaba',
'eras': ZONE_ERAS_America_Cuiaba
}
# ---------------------------------------------------------------------------
# Zone name: America/Danmarkshavn
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Danmarkshavn: List[ZoneEra] = [
# -3:00 - -03 1980 Apr 6 2:00
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 1980,
'until_month': 4,
'until_day': 6,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -3:00 EU -03/-02 1996
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 1996,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 0:00 - GMT
{
'offset_seconds': 0,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'GMT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Danmarkshavn: ZoneInfo = {
'name': 'America/Danmarkshavn',
'eras': ZONE_ERAS_America_Danmarkshavn
}
# ---------------------------------------------------------------------------
# Zone name: America/Dawson
# Era count: 4
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Dawson: List[ZoneEra] = [
# -9:00 NT_YK Y%sT 1973 Oct 28 0:00
{
'offset_seconds': -32400,
'zone_policy': ZONE_POLICY_NT_YK,
'rules_delta_seconds': 0,
'format': 'Y%sT',
'until_year': 1973,
'until_month': 10,
'until_day': 28,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -8:00 NT_YK P%sT 1980
{
'offset_seconds': -28800,
'zone_policy': ZONE_POLICY_NT_YK,
'rules_delta_seconds': 0,
'format': 'P%sT',
'until_year': 1980,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -8:00 Canada P%sT 2020 Nov 1
{
'offset_seconds': -28800,
'zone_policy': ZONE_POLICY_Canada,
'rules_delta_seconds': 0,
'format': 'P%sT',
'until_year': 2020,
'until_month': 11,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -7:00 - MST
{
'offset_seconds': -25200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'MST',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Dawson: ZoneInfo = {
'name': 'America/Dawson',
'eras': ZONE_ERAS_America_Dawson
}
# ---------------------------------------------------------------------------
# Zone name: America/Dawson_Creek
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Dawson_Creek: List[ZoneEra] = [
# -7:00 - MST
{
'offset_seconds': -25200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'MST',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Dawson_Creek: ZoneInfo = {
'name': 'America/Dawson_Creek',
'eras': ZONE_ERAS_America_Dawson_Creek
}
# ---------------------------------------------------------------------------
# Zone name: America/Denver
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Denver: List[ZoneEra] = [
# -7:00 US M%sT
{
'offset_seconds': -25200,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'M%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Denver: ZoneInfo = {
'name': 'America/Denver',
'eras': ZONE_ERAS_America_Denver
}
# ---------------------------------------------------------------------------
# Zone name: America/Detroit
# Era count: 4
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Detroit: List[ZoneEra] = [
# -5:00 - EST 1973
{
'offset_seconds': -18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EST',
'until_year': 1973,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -5:00 US E%sT 1975
{
'offset_seconds': -18000,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'E%sT',
'until_year': 1975,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -5:00 - EST 1975 Apr 27 2:00
{
'offset_seconds': -18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EST',
'until_year': 1975,
'until_month': 4,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -5:00 US E%sT
{
'offset_seconds': -18000,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'E%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Detroit: ZoneInfo = {
'name': 'America/Detroit',
'eras': ZONE_ERAS_America_Detroit
}
# ---------------------------------------------------------------------------
# Zone name: America/Edmonton
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Edmonton: List[ZoneEra] = [
# -7:00 Edm M%sT 1987
{
'offset_seconds': -25200,
'zone_policy': ZONE_POLICY_Edm,
'rules_delta_seconds': 0,
'format': 'M%sT',
'until_year': 1987,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -7:00 Canada M%sT
{
'offset_seconds': -25200,
'zone_policy': ZONE_POLICY_Canada,
'rules_delta_seconds': 0,
'format': 'M%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Edmonton: ZoneInfo = {
'name': 'America/Edmonton',
'eras': ZONE_ERAS_America_Edmonton
}
# ---------------------------------------------------------------------------
# Zone name: America/Eirunepe
# Era count: 6
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Eirunepe: List[ZoneEra] = [
# -5:00 Brazil -05/-04 1988 Sep 12
{
'offset_seconds': -18000,
'zone_policy': ZONE_POLICY_Brazil,
'rules_delta_seconds': 0,
'format': '-05/-04',
'until_year': 1988,
'until_month': 9,
'until_day': 12,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -5:00 - -05 1993 Sep 28
{
'offset_seconds': -18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-05',
'until_year': 1993,
'until_month': 9,
'until_day': 28,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -5:00 Brazil -05/-04 1994 Sep 22
{
'offset_seconds': -18000,
'zone_policy': ZONE_POLICY_Brazil,
'rules_delta_seconds': 0,
'format': '-05/-04',
'until_year': 1994,
'until_month': 9,
'until_day': 22,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -5:00 - -05 2008 Jun 24 0:00
{
'offset_seconds': -18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-05',
'until_year': 2008,
'until_month': 6,
'until_day': 24,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 - -04 2013 Nov 10
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-04',
'until_year': 2013,
'until_month': 11,
'until_day': 10,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -5:00 - -05
{
'offset_seconds': -18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-05',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Eirunepe: ZoneInfo = {
'name': 'America/Eirunepe',
'eras': ZONE_ERAS_America_Eirunepe
}
# ---------------------------------------------------------------------------
# Zone name: America/El_Salvador
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_America_El_Salvador: List[ZoneEra] = [
# -6:00 Salv C%sT
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_Salv,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_El_Salvador: ZoneInfo = {
'name': 'America/El_Salvador',
'eras': ZONE_ERAS_America_El_Salvador
}
# ---------------------------------------------------------------------------
# Zone name: America/Fort_Nelson
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Fort_Nelson: List[ZoneEra] = [
# -8:00 Vanc P%sT 1987
{
'offset_seconds': -28800,
'zone_policy': ZONE_POLICY_Vanc,
'rules_delta_seconds': 0,
'format': 'P%sT',
'until_year': 1987,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -8:00 Canada P%sT 2015 Mar 8 2:00
{
'offset_seconds': -28800,
'zone_policy': ZONE_POLICY_Canada,
'rules_delta_seconds': 0,
'format': 'P%sT',
'until_year': 2015,
'until_month': 3,
'until_day': 8,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -7:00 - MST
{
'offset_seconds': -25200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'MST',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Fort_Nelson: ZoneInfo = {
'name': 'America/Fort_Nelson',
'eras': ZONE_ERAS_America_Fort_Nelson
}
# ---------------------------------------------------------------------------
# Zone name: America/Fortaleza
# Era count: 6
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Fortaleza: List[ZoneEra] = [
# -3:00 Brazil -03/-02 1990 Sep 17
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Brazil,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 1990,
'until_month': 9,
'until_day': 17,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 - -03 1999 Sep 30
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 1999,
'until_month': 9,
'until_day': 30,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 Brazil -03/-02 2000 Oct 22
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Brazil,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 2000,
'until_month': 10,
'until_day': 22,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 - -03 2001 Sep 13
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 2001,
'until_month': 9,
'until_day': 13,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 Brazil -03/-02 2002 Oct 1
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Brazil,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 2002,
'until_month': 10,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 - -03
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Fortaleza: ZoneInfo = {
'name': 'America/Fortaleza',
'eras': ZONE_ERAS_America_Fortaleza
}
# ---------------------------------------------------------------------------
# Zone name: America/Glace_Bay
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Glace_Bay: List[ZoneEra] = [
# -4:00 Halifax A%sT 1974
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_Halifax,
'rules_delta_seconds': 0,
'format': 'A%sT',
'until_year': 1974,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 Canada A%sT
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_Canada,
'rules_delta_seconds': 0,
'format': 'A%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Glace_Bay: ZoneInfo = {
'name': 'America/Glace_Bay',
'eras': ZONE_ERAS_America_Glace_Bay
}
# ---------------------------------------------------------------------------
# Zone name: America/Goose_Bay
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Goose_Bay: List[ZoneEra] = [
# -4:00 StJohns A%sT 2011 Nov
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_StJohns,
'rules_delta_seconds': 0,
'format': 'A%sT',
'until_year': 2011,
'until_month': 11,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 Canada A%sT
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_Canada,
'rules_delta_seconds': 0,
'format': 'A%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Goose_Bay: ZoneInfo = {
'name': 'America/Goose_Bay',
'eras': ZONE_ERAS_America_Goose_Bay
}
# ---------------------------------------------------------------------------
# Zone name: America/Grand_Turk
# Era count: 4
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Grand_Turk: List[ZoneEra] = [
# -5:00 - EST 1979
{
'offset_seconds': -18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EST',
'until_year': 1979,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -5:00 US E%sT 2015 Mar 8 2:00
{
'offset_seconds': -18000,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'E%sT',
'until_year': 2015,
'until_month': 3,
'until_day': 8,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -4:00 - AST 2018 Mar 11 3:00
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'AST',
'until_year': 2018,
'until_month': 3,
'until_day': 11,
'until_seconds': 10800,
'until_time_suffix': 'w',
},
# -5:00 US E%sT
{
'offset_seconds': -18000,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'E%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Grand_Turk: ZoneInfo = {
'name': 'America/Grand_Turk',
'eras': ZONE_ERAS_America_Grand_Turk
}
# ---------------------------------------------------------------------------
# Zone name: America/Guatemala
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Guatemala: List[ZoneEra] = [
# -6:00 Guat C%sT
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_Guat,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Guatemala: ZoneInfo = {
'name': 'America/Guatemala',
'eras': ZONE_ERAS_America_Guatemala
}
# ---------------------------------------------------------------------------
# Zone name: America/Guayaquil
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Guayaquil: List[ZoneEra] = [
# -5:00 Ecuador -05/-04
{
'offset_seconds': -18000,
'zone_policy': ZONE_POLICY_Ecuador,
'rules_delta_seconds': 0,
'format': '-05/-04',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Guayaquil: ZoneInfo = {
'name': 'America/Guayaquil',
'eras': ZONE_ERAS_America_Guayaquil
}
# ---------------------------------------------------------------------------
# Zone name: America/Guyana
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Guyana: List[ZoneEra] = [
# -3:45 - -0345 1975 Aug 1
{
'offset_seconds': -13500,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-0345',
'until_year': 1975,
'until_month': 8,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 - -03 1992 Mar 29 1:00
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 1992,
'until_month': 3,
'until_day': 29,
'until_seconds': 3600,
'until_time_suffix': 'w',
},
# -4:00 - -04
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-04',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Guyana: ZoneInfo = {
'name': 'America/Guyana',
'eras': ZONE_ERAS_America_Guyana
}
# ---------------------------------------------------------------------------
# Zone name: America/Halifax
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Halifax: List[ZoneEra] = [
# -4:00 Halifax A%sT 1974
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_Halifax,
'rules_delta_seconds': 0,
'format': 'A%sT',
'until_year': 1974,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 Canada A%sT
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_Canada,
'rules_delta_seconds': 0,
'format': 'A%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Halifax: ZoneInfo = {
'name': 'America/Halifax',
'eras': ZONE_ERAS_America_Halifax
}
# ---------------------------------------------------------------------------
# Zone name: America/Havana
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Havana: List[ZoneEra] = [
# -5:00 Cuba C%sT
{
'offset_seconds': -18000,
'zone_policy': ZONE_POLICY_Cuba,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Havana: ZoneInfo = {
'name': 'America/Havana',
'eras': ZONE_ERAS_America_Havana
}
# ---------------------------------------------------------------------------
# Zone name: America/Hermosillo
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Hermosillo: List[ZoneEra] = [
# -7:00 Mexico M%sT 1999
{
'offset_seconds': -25200,
'zone_policy': ZONE_POLICY_Mexico,
'rules_delta_seconds': 0,
'format': 'M%sT',
'until_year': 1999,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -7:00 - MST
{
'offset_seconds': -25200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'MST',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Hermosillo: ZoneInfo = {
'name': 'America/Hermosillo',
'eras': ZONE_ERAS_America_Hermosillo
}
# ---------------------------------------------------------------------------
# Zone name: America/Indiana/Indianapolis
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Indiana_Indianapolis: List[ZoneEra] = [
# -5:00 - EST 2006
{
'offset_seconds': -18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EST',
'until_year': 2006,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -5:00 US E%sT
{
'offset_seconds': -18000,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'E%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Indiana_Indianapolis: ZoneInfo = {
'name': 'America/Indiana/Indianapolis',
'eras': ZONE_ERAS_America_Indiana_Indianapolis
}
# ---------------------------------------------------------------------------
# Zone name: America/Indiana/Knox
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Indiana_Knox: List[ZoneEra] = [
# -6:00 US C%sT 1991 Oct 27 2:00
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 1991,
'until_month': 10,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -5:00 - EST 2006 Apr 2 2:00
{
'offset_seconds': -18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EST',
'until_year': 2006,
'until_month': 4,
'until_day': 2,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -6:00 US C%sT
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Indiana_Knox: ZoneInfo = {
'name': 'America/Indiana/Knox',
'eras': ZONE_ERAS_America_Indiana_Knox
}
# ---------------------------------------------------------------------------
# Zone name: America/Indiana/Marengo
# Era count: 5
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Indiana_Marengo: List[ZoneEra] = [
# -5:00 US E%sT 1974 Jan 6 2:00
{
'offset_seconds': -18000,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'E%sT',
'until_year': 1974,
'until_month': 1,
'until_day': 6,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -6:00 1:00 CDT 1974 Oct 27 2:00
{
'offset_seconds': -21600,
'zone_policy': ':',
'rules_delta_seconds': 3600,
'format': 'CDT',
'until_year': 1974,
'until_month': 10,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -5:00 US E%sT 1976
{
'offset_seconds': -18000,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'E%sT',
'until_year': 1976,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -5:00 - EST 2006
{
'offset_seconds': -18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EST',
'until_year': 2006,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -5:00 US E%sT
{
'offset_seconds': -18000,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'E%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Indiana_Marengo: ZoneInfo = {
'name': 'America/Indiana/Marengo',
'eras': ZONE_ERAS_America_Indiana_Marengo
}
# ---------------------------------------------------------------------------
# Zone name: America/Indiana/Petersburg
# Era count: 4
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Indiana_Petersburg: List[ZoneEra] = [
# -6:00 US C%sT 1977 Oct 30 2:00
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 1977,
'until_month': 10,
'until_day': 30,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -5:00 - EST 2006 Apr 2 2:00
{
'offset_seconds': -18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EST',
'until_year': 2006,
'until_month': 4,
'until_day': 2,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -6:00 US C%sT 2007 Nov 4 2:00
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 2007,
'until_month': 11,
'until_day': 4,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -5:00 US E%sT
{
'offset_seconds': -18000,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'E%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Indiana_Petersburg: ZoneInfo = {
'name': 'America/Indiana/Petersburg',
'eras': ZONE_ERAS_America_Indiana_Petersburg
}
# ---------------------------------------------------------------------------
# Zone name: America/Indiana/Tell_City
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Indiana_Tell_City: List[ZoneEra] = [
# -5:00 - EST 2006 Apr 2 2:00
{
'offset_seconds': -18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EST',
'until_year': 2006,
'until_month': 4,
'until_day': 2,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -6:00 US C%sT
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Indiana_Tell_City: ZoneInfo = {
'name': 'America/Indiana/Tell_City',
'eras': ZONE_ERAS_America_Indiana_Tell_City
}
# ---------------------------------------------------------------------------
# Zone name: America/Indiana/Vevay
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Indiana_Vevay: List[ZoneEra] = [
# -5:00 US E%sT 1973
{
'offset_seconds': -18000,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'E%sT',
'until_year': 1973,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -5:00 - EST 2006
{
'offset_seconds': -18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EST',
'until_year': 2006,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -5:00 US E%sT
{
'offset_seconds': -18000,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'E%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Indiana_Vevay: ZoneInfo = {
'name': 'America/Indiana/Vevay',
'eras': ZONE_ERAS_America_Indiana_Vevay
}
# ---------------------------------------------------------------------------
# Zone name: America/Indiana/Vincennes
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Indiana_Vincennes: List[ZoneEra] = [
# -5:00 - EST 2006 Apr 2 2:00
{
'offset_seconds': -18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EST',
'until_year': 2006,
'until_month': 4,
'until_day': 2,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -6:00 US C%sT 2007 Nov 4 2:00
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 2007,
'until_month': 11,
'until_day': 4,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -5:00 US E%sT
{
'offset_seconds': -18000,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'E%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Indiana_Vincennes: ZoneInfo = {
'name': 'America/Indiana/Vincennes',
'eras': ZONE_ERAS_America_Indiana_Vincennes
}
# ---------------------------------------------------------------------------
# Zone name: America/Indiana/Winamac
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Indiana_Winamac: List[ZoneEra] = [
# -5:00 - EST 2006 Apr 2 2:00
{
'offset_seconds': -18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EST',
'until_year': 2006,
'until_month': 4,
'until_day': 2,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -6:00 US C%sT 2007 Mar 11 2:00
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 2007,
'until_month': 3,
'until_day': 11,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -5:00 US E%sT
{
'offset_seconds': -18000,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'E%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Indiana_Winamac: ZoneInfo = {
'name': 'America/Indiana/Winamac',
'eras': ZONE_ERAS_America_Indiana_Winamac
}
# ---------------------------------------------------------------------------
# Zone name: America/Inuvik
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Inuvik: List[ZoneEra] = [
# -8:00 NT_YK P%sT 1979 Apr lastSun 2:00
{
'offset_seconds': -28800,
'zone_policy': ZONE_POLICY_NT_YK,
'rules_delta_seconds': 0,
'format': 'P%sT',
'until_year': 1979,
'until_month': 4,
'until_day': 29,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -7:00 NT_YK M%sT 1980
{
'offset_seconds': -25200,
'zone_policy': ZONE_POLICY_NT_YK,
'rules_delta_seconds': 0,
'format': 'M%sT',
'until_year': 1980,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -7:00 Canada M%sT
{
'offset_seconds': -25200,
'zone_policy': ZONE_POLICY_Canada,
'rules_delta_seconds': 0,
'format': 'M%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Inuvik: ZoneInfo = {
'name': 'America/Inuvik',
'eras': ZONE_ERAS_America_Inuvik
}
# ---------------------------------------------------------------------------
# Zone name: America/Iqaluit
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Iqaluit: List[ZoneEra] = [
# -5:00 NT_YK E%sT 1999 Oct 31 2:00
{
'offset_seconds': -18000,
'zone_policy': ZONE_POLICY_NT_YK,
'rules_delta_seconds': 0,
'format': 'E%sT',
'until_year': 1999,
'until_month': 10,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -6:00 Canada C%sT 2000 Oct 29 2:00
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_Canada,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 2000,
'until_month': 10,
'until_day': 29,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -5:00 Canada E%sT
{
'offset_seconds': -18000,
'zone_policy': ZONE_POLICY_Canada,
'rules_delta_seconds': 0,
'format': 'E%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Iqaluit: ZoneInfo = {
'name': 'America/Iqaluit',
'eras': ZONE_ERAS_America_Iqaluit
}
# ---------------------------------------------------------------------------
# Zone name: America/Jamaica
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Jamaica: List[ZoneEra] = [
# -5:00 - EST 1974
{
'offset_seconds': -18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EST',
'until_year': 1974,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -5:00 US E%sT 1984
{
'offset_seconds': -18000,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'E%sT',
'until_year': 1984,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -5:00 - EST
{
'offset_seconds': -18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EST',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Jamaica: ZoneInfo = {
'name': 'America/Jamaica',
'eras': ZONE_ERAS_America_Jamaica
}
# ---------------------------------------------------------------------------
# Zone name: America/Juneau
# Era count: 5
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Juneau: List[ZoneEra] = [
# -8:00 US P%sT 1980 Apr 27 2:00
{
'offset_seconds': -28800,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'P%sT',
'until_year': 1980,
'until_month': 4,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -9:00 US Y%sT 1980 Oct 26 2:00
{
'offset_seconds': -32400,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'Y%sT',
'until_year': 1980,
'until_month': 10,
'until_day': 26,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -8:00 US P%sT 1983 Oct 30 2:00
{
'offset_seconds': -28800,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'P%sT',
'until_year': 1983,
'until_month': 10,
'until_day': 30,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -9:00 US Y%sT 1983 Nov 30
{
'offset_seconds': -32400,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'Y%sT',
'until_year': 1983,
'until_month': 11,
'until_day': 30,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -9:00 US AK%sT
{
'offset_seconds': -32400,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'AK%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Juneau: ZoneInfo = {
'name': 'America/Juneau',
'eras': ZONE_ERAS_America_Juneau
}
# ---------------------------------------------------------------------------
# Zone name: America/Kentucky/Louisville
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Kentucky_Louisville: List[ZoneEra] = [
# -5:00 US E%sT 1974 Jan 6 2:00
{
'offset_seconds': -18000,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'E%sT',
'until_year': 1974,
'until_month': 1,
'until_day': 6,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -6:00 1:00 CDT 1974 Oct 27 2:00
{
'offset_seconds': -21600,
'zone_policy': ':',
'rules_delta_seconds': 3600,
'format': 'CDT',
'until_year': 1974,
'until_month': 10,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -5:00 US E%sT
{
'offset_seconds': -18000,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'E%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Kentucky_Louisville: ZoneInfo = {
'name': 'America/Kentucky/Louisville',
'eras': ZONE_ERAS_America_Kentucky_Louisville
}
# ---------------------------------------------------------------------------
# Zone name: America/Kentucky/Monticello
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Kentucky_Monticello: List[ZoneEra] = [
# -6:00 US C%sT 2000 Oct 29 2:00
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 2000,
'until_month': 10,
'until_day': 29,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -5:00 US E%sT
{
'offset_seconds': -18000,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'E%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Kentucky_Monticello: ZoneInfo = {
'name': 'America/Kentucky/Monticello',
'eras': ZONE_ERAS_America_Kentucky_Monticello
}
# ---------------------------------------------------------------------------
# Zone name: America/La_Paz
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_America_La_Paz: List[ZoneEra] = [
# -4:00 - -04
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-04',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_La_Paz: ZoneInfo = {
'name': 'America/La_Paz',
'eras': ZONE_ERAS_America_La_Paz
}
# ---------------------------------------------------------------------------
# Zone name: America/Lima
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Lima: List[ZoneEra] = [
# -5:00 Peru -05/-04
{
'offset_seconds': -18000,
'zone_policy': ZONE_POLICY_Peru,
'rules_delta_seconds': 0,
'format': '-05/-04',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Lima: ZoneInfo = {
'name': 'America/Lima',
'eras': ZONE_ERAS_America_Lima
}
# ---------------------------------------------------------------------------
# Zone name: America/Los_Angeles
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Los_Angeles: List[ZoneEra] = [
# -8:00 US P%sT
{
'offset_seconds': -28800,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'P%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Los_Angeles: ZoneInfo = {
'name': 'America/Los_Angeles',
'eras': ZONE_ERAS_America_Los_Angeles
}
# ---------------------------------------------------------------------------
# Zone name: America/Maceio
# Era count: 8
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Maceio: List[ZoneEra] = [
# -3:00 Brazil -03/-02 1990 Sep 17
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Brazil,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 1990,
'until_month': 9,
'until_day': 17,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 - -03 1995 Oct 13
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 1995,
'until_month': 10,
'until_day': 13,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 Brazil -03/-02 1996 Sep 4
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Brazil,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 1996,
'until_month': 9,
'until_day': 4,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 - -03 1999 Sep 30
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 1999,
'until_month': 9,
'until_day': 30,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 Brazil -03/-02 2000 Oct 22
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Brazil,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 2000,
'until_month': 10,
'until_day': 22,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 - -03 2001 Sep 13
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 2001,
'until_month': 9,
'until_day': 13,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 Brazil -03/-02 2002 Oct 1
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Brazil,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 2002,
'until_month': 10,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 - -03
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Maceio: ZoneInfo = {
'name': 'America/Maceio',
'eras': ZONE_ERAS_America_Maceio
}
# ---------------------------------------------------------------------------
# Zone name: America/Managua
# Era count: 7
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Managua: List[ZoneEra] = [
# -6:00 - CST 1973 May
{
'offset_seconds': -21600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'CST',
'until_year': 1973,
'until_month': 5,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -5:00 - EST 1975 Feb 16
{
'offset_seconds': -18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EST',
'until_year': 1975,
'until_month': 2,
'until_day': 16,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -6:00 Nic C%sT 1992 Jan 1 4:00
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_Nic,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 1992,
'until_month': 1,
'until_day': 1,
'until_seconds': 14400,
'until_time_suffix': 'w',
},
# -5:00 - EST 1992 Sep 24
{
'offset_seconds': -18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EST',
'until_year': 1992,
'until_month': 9,
'until_day': 24,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -6:00 - CST 1993
{
'offset_seconds': -21600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'CST',
'until_year': 1993,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -5:00 - EST 1997
{
'offset_seconds': -18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EST',
'until_year': 1997,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -6:00 Nic C%sT
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_Nic,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Managua: ZoneInfo = {
'name': 'America/Managua',
'eras': ZONE_ERAS_America_Managua
}
# ---------------------------------------------------------------------------
# Zone name: America/Manaus
# Era count: 4
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Manaus: List[ZoneEra] = [
# -4:00 Brazil -04/-03 1988 Sep 12
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_Brazil,
'rules_delta_seconds': 0,
'format': '-04/-03',
'until_year': 1988,
'until_month': 9,
'until_day': 12,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 - -04 1993 Sep 28
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-04',
'until_year': 1993,
'until_month': 9,
'until_day': 28,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 Brazil -04/-03 1994 Sep 22
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_Brazil,
'rules_delta_seconds': 0,
'format': '-04/-03',
'until_year': 1994,
'until_month': 9,
'until_day': 22,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 - -04
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-04',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Manaus: ZoneInfo = {
'name': 'America/Manaus',
'eras': ZONE_ERAS_America_Manaus
}
# ---------------------------------------------------------------------------
# Zone name: America/Martinique
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Martinique: List[ZoneEra] = [
# -4:00 - AST 1980 Apr 6
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'AST',
'until_year': 1980,
'until_month': 4,
'until_day': 6,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 1:00 ADT 1980 Sep 28
{
'offset_seconds': -14400,
'zone_policy': ':',
'rules_delta_seconds': 3600,
'format': 'ADT',
'until_year': 1980,
'until_month': 9,
'until_day': 28,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 - AST
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'AST',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Martinique: ZoneInfo = {
'name': 'America/Martinique',
'eras': ZONE_ERAS_America_Martinique
}
# ---------------------------------------------------------------------------
# Zone name: America/Matamoros
# Era count: 4
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Matamoros: List[ZoneEra] = [
# -6:00 - CST 1988
{
'offset_seconds': -21600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'CST',
'until_year': 1988,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -6:00 US C%sT 1989
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 1989,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -6:00 Mexico C%sT 2010
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_Mexico,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 2010,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -6:00 US C%sT
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Matamoros: ZoneInfo = {
'name': 'America/Matamoros',
'eras': ZONE_ERAS_America_Matamoros
}
# ---------------------------------------------------------------------------
# Zone name: America/Mazatlan
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Mazatlan: List[ZoneEra] = [
# -7:00 Mexico M%sT
{
'offset_seconds': -25200,
'zone_policy': ZONE_POLICY_Mexico,
'rules_delta_seconds': 0,
'format': 'M%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Mazatlan: ZoneInfo = {
'name': 'America/Mazatlan',
'eras': ZONE_ERAS_America_Mazatlan
}
# ---------------------------------------------------------------------------
# Zone name: America/Menominee
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Menominee: List[ZoneEra] = [
# -5:00 - EST 1973 Apr 29 2:00
{
'offset_seconds': -18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EST',
'until_year': 1973,
'until_month': 4,
'until_day': 29,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -6:00 US C%sT
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Menominee: ZoneInfo = {
'name': 'America/Menominee',
'eras': ZONE_ERAS_America_Menominee
}
# ---------------------------------------------------------------------------
# Zone name: America/Merida
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Merida: List[ZoneEra] = [
# -6:00 - CST 1981 Dec 23
{
'offset_seconds': -21600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'CST',
'until_year': 1981,
'until_month': 12,
'until_day': 23,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -5:00 - EST 1982 Dec 2
{
'offset_seconds': -18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EST',
'until_year': 1982,
'until_month': 12,
'until_day': 2,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -6:00 Mexico C%sT
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_Mexico,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Merida: ZoneInfo = {
'name': 'America/Merida',
'eras': ZONE_ERAS_America_Merida
}
# ---------------------------------------------------------------------------
# Zone name: America/Metlakatla
# Era count: 5
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Metlakatla: List[ZoneEra] = [
# -8:00 US P%sT 1983 Oct 30 2:00
{
'offset_seconds': -28800,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'P%sT',
'until_year': 1983,
'until_month': 10,
'until_day': 30,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -8:00 - PST 2015 Nov 1 2:00
{
'offset_seconds': -28800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'PST',
'until_year': 2015,
'until_month': 11,
'until_day': 1,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -9:00 US AK%sT 2018 Nov 4 2:00
{
'offset_seconds': -32400,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'AK%sT',
'until_year': 2018,
'until_month': 11,
'until_day': 4,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -8:00 - PST 2019 Jan 20 2:00
{
'offset_seconds': -28800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'PST',
'until_year': 2019,
'until_month': 1,
'until_day': 20,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -9:00 US AK%sT
{
'offset_seconds': -32400,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'AK%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Metlakatla: ZoneInfo = {
'name': 'America/Metlakatla',
'eras': ZONE_ERAS_America_Metlakatla
}
# ---------------------------------------------------------------------------
# Zone name: America/Mexico_City
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Mexico_City: List[ZoneEra] = [
# -6:00 Mexico C%sT 2001 Sep 30 2:00
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_Mexico,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 2001,
'until_month': 9,
'until_day': 30,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -6:00 - CST 2002 Feb 20
{
'offset_seconds': -21600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'CST',
'until_year': 2002,
'until_month': 2,
'until_day': 20,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -6:00 Mexico C%sT
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_Mexico,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Mexico_City: ZoneInfo = {
'name': 'America/Mexico_City',
'eras': ZONE_ERAS_America_Mexico_City
}
# ---------------------------------------------------------------------------
# Zone name: America/Miquelon
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Miquelon: List[ZoneEra] = [
# -4:00 - AST 1980 May
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'AST',
'until_year': 1980,
'until_month': 5,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 - -03 1987
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 1987,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 Canada -03/-02
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Canada,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Miquelon: ZoneInfo = {
'name': 'America/Miquelon',
'eras': ZONE_ERAS_America_Miquelon
}
# ---------------------------------------------------------------------------
# Zone name: America/Moncton
# Era count: 4
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Moncton: List[ZoneEra] = [
# -4:00 Moncton A%sT 1973
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_Moncton,
'rules_delta_seconds': 0,
'format': 'A%sT',
'until_year': 1973,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 Canada A%sT 1993
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_Canada,
'rules_delta_seconds': 0,
'format': 'A%sT',
'until_year': 1993,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 Moncton A%sT 2007
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_Moncton,
'rules_delta_seconds': 0,
'format': 'A%sT',
'until_year': 2007,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 Canada A%sT
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_Canada,
'rules_delta_seconds': 0,
'format': 'A%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Moncton: ZoneInfo = {
'name': 'America/Moncton',
'eras': ZONE_ERAS_America_Moncton
}
# ---------------------------------------------------------------------------
# Zone name: America/Monterrey
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Monterrey: List[ZoneEra] = [
# -6:00 - CST 1988
{
'offset_seconds': -21600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'CST',
'until_year': 1988,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -6:00 US C%sT 1989
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 1989,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -6:00 Mexico C%sT
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_Mexico,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Monterrey: ZoneInfo = {
'name': 'America/Monterrey',
'eras': ZONE_ERAS_America_Monterrey
}
# ---------------------------------------------------------------------------
# Zone name: America/Montevideo
# Era count: 4
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Montevideo: List[ZoneEra] = [
# -3:00 Uruguay -03/-02 1974
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Uruguay,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 1974,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 Uruguay -03/-0130 1974 Mar 10
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Uruguay,
'rules_delta_seconds': 0,
'format': '-03/-0130',
'until_year': 1974,
'until_month': 3,
'until_day': 10,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 Uruguay -03/-0230 1974 Dec 22
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Uruguay,
'rules_delta_seconds': 0,
'format': '-03/-0230',
'until_year': 1974,
'until_month': 12,
'until_day': 22,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 Uruguay -03/-02
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Uruguay,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Montevideo: ZoneInfo = {
'name': 'America/Montevideo',
'eras': ZONE_ERAS_America_Montevideo
}
# ---------------------------------------------------------------------------
# Zone name: America/New_York
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_America_New_York: List[ZoneEra] = [
# -5:00 US E%sT
{
'offset_seconds': -18000,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'E%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_New_York: ZoneInfo = {
'name': 'America/New_York',
'eras': ZONE_ERAS_America_New_York
}
# ---------------------------------------------------------------------------
# Zone name: America/Nipigon
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Nipigon: List[ZoneEra] = [
# -5:00 Canada E%sT
{
'offset_seconds': -18000,
'zone_policy': ZONE_POLICY_Canada,
'rules_delta_seconds': 0,
'format': 'E%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Nipigon: ZoneInfo = {
'name': 'America/Nipigon',
'eras': ZONE_ERAS_America_Nipigon
}
# ---------------------------------------------------------------------------
# Zone name: America/Nome
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Nome: List[ZoneEra] = [
# -11:00 US B%sT 1983 Oct 30 2:00
{
'offset_seconds': -39600,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'B%sT',
'until_year': 1983,
'until_month': 10,
'until_day': 30,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -9:00 US Y%sT 1983 Nov 30
{
'offset_seconds': -32400,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'Y%sT',
'until_year': 1983,
'until_month': 11,
'until_day': 30,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -9:00 US AK%sT
{
'offset_seconds': -32400,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'AK%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Nome: ZoneInfo = {
'name': 'America/Nome',
'eras': ZONE_ERAS_America_Nome
}
# ---------------------------------------------------------------------------
# Zone name: America/Noronha
# Era count: 6
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Noronha: List[ZoneEra] = [
# -2:00 Brazil -02/-01 1990 Sep 17
{
'offset_seconds': -7200,
'zone_policy': ZONE_POLICY_Brazil,
'rules_delta_seconds': 0,
'format': '-02/-01',
'until_year': 1990,
'until_month': 9,
'until_day': 17,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -2:00 - -02 1999 Sep 30
{
'offset_seconds': -7200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-02',
'until_year': 1999,
'until_month': 9,
'until_day': 30,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -2:00 Brazil -02/-01 2000 Oct 15
{
'offset_seconds': -7200,
'zone_policy': ZONE_POLICY_Brazil,
'rules_delta_seconds': 0,
'format': '-02/-01',
'until_year': 2000,
'until_month': 10,
'until_day': 15,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -2:00 - -02 2001 Sep 13
{
'offset_seconds': -7200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-02',
'until_year': 2001,
'until_month': 9,
'until_day': 13,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -2:00 Brazil -02/-01 2002 Oct 1
{
'offset_seconds': -7200,
'zone_policy': ZONE_POLICY_Brazil,
'rules_delta_seconds': 0,
'format': '-02/-01',
'until_year': 2002,
'until_month': 10,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -2:00 - -02
{
'offset_seconds': -7200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-02',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Noronha: ZoneInfo = {
'name': 'America/Noronha',
'eras': ZONE_ERAS_America_Noronha
}
# ---------------------------------------------------------------------------
# Zone name: America/North_Dakota/Beulah
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_America_North_Dakota_Beulah: List[ZoneEra] = [
# -7:00 US M%sT 2010 Nov 7 2:00
{
'offset_seconds': -25200,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'M%sT',
'until_year': 2010,
'until_month': 11,
'until_day': 7,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -6:00 US C%sT
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_North_Dakota_Beulah: ZoneInfo = {
'name': 'America/North_Dakota/Beulah',
'eras': ZONE_ERAS_America_North_Dakota_Beulah
}
# ---------------------------------------------------------------------------
# Zone name: America/North_Dakota/Center
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_America_North_Dakota_Center: List[ZoneEra] = [
# -7:00 US M%sT 1992 Oct 25 2:00
{
'offset_seconds': -25200,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'M%sT',
'until_year': 1992,
'until_month': 10,
'until_day': 25,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -6:00 US C%sT
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_North_Dakota_Center: ZoneInfo = {
'name': 'America/North_Dakota/Center',
'eras': ZONE_ERAS_America_North_Dakota_Center
}
# ---------------------------------------------------------------------------
# Zone name: America/North_Dakota/New_Salem
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_America_North_Dakota_New_Salem: List[ZoneEra] = [
# -7:00 US M%sT 2003 Oct 26 2:00
{
'offset_seconds': -25200,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'M%sT',
'until_year': 2003,
'until_month': 10,
'until_day': 26,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -6:00 US C%sT
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_North_Dakota_New_Salem: ZoneInfo = {
'name': 'America/North_Dakota/New_Salem',
'eras': ZONE_ERAS_America_North_Dakota_New_Salem
}
# ---------------------------------------------------------------------------
# Zone name: America/Nuuk
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Nuuk: List[ZoneEra] = [
# -3:00 - -03 1980 Apr 6 2:00
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 1980,
'until_month': 4,
'until_day': 6,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -3:00 EU -03/-02
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Nuuk: ZoneInfo = {
'name': 'America/Nuuk',
'eras': ZONE_ERAS_America_Nuuk
}
# ---------------------------------------------------------------------------
# Zone name: America/Ojinaga
# Era count: 5
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Ojinaga: List[ZoneEra] = [
# -6:00 - CST 1996
{
'offset_seconds': -21600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'CST',
'until_year': 1996,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -6:00 Mexico C%sT 1998
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_Mexico,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 1998,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -6:00 - CST 1998 Apr Sun>=1 3:00
{
'offset_seconds': -21600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'CST',
'until_year': 1998,
'until_month': 4,
'until_day': 5,
'until_seconds': 10800,
'until_time_suffix': 'w',
},
# -7:00 Mexico M%sT 2010
{
'offset_seconds': -25200,
'zone_policy': ZONE_POLICY_Mexico,
'rules_delta_seconds': 0,
'format': 'M%sT',
'until_year': 2010,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -7:00 US M%sT
{
'offset_seconds': -25200,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'M%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Ojinaga: ZoneInfo = {
'name': 'America/Ojinaga',
'eras': ZONE_ERAS_America_Ojinaga
}
# ---------------------------------------------------------------------------
# Zone name: America/Panama
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Panama: List[ZoneEra] = [
# -5:00 - EST
{
'offset_seconds': -18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EST',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Panama: ZoneInfo = {
'name': 'America/Panama',
'eras': ZONE_ERAS_America_Panama
}
# ---------------------------------------------------------------------------
# Zone name: America/Pangnirtung
# Era count: 4
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Pangnirtung: List[ZoneEra] = [
# -4:00 NT_YK A%sT 1995 Apr Sun>=1 2:00
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_NT_YK,
'rules_delta_seconds': 0,
'format': 'A%sT',
'until_year': 1995,
'until_month': 4,
'until_day': 2,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -5:00 Canada E%sT 1999 Oct 31 2:00
{
'offset_seconds': -18000,
'zone_policy': ZONE_POLICY_Canada,
'rules_delta_seconds': 0,
'format': 'E%sT',
'until_year': 1999,
'until_month': 10,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -6:00 Canada C%sT 2000 Oct 29 2:00
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_Canada,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 2000,
'until_month': 10,
'until_day': 29,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -5:00 Canada E%sT
{
'offset_seconds': -18000,
'zone_policy': ZONE_POLICY_Canada,
'rules_delta_seconds': 0,
'format': 'E%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Pangnirtung: ZoneInfo = {
'name': 'America/Pangnirtung',
'eras': ZONE_ERAS_America_Pangnirtung
}
# ---------------------------------------------------------------------------
# Zone name: America/Paramaribo
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Paramaribo: List[ZoneEra] = [
# -3:30 - -0330 1984 Oct
{
'offset_seconds': -12600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-0330',
'until_year': 1984,
'until_month': 10,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 - -03
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Paramaribo: ZoneInfo = {
'name': 'America/Paramaribo',
'eras': ZONE_ERAS_America_Paramaribo
}
# ---------------------------------------------------------------------------
# Zone name: America/Phoenix
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Phoenix: List[ZoneEra] = [
# -7:00 - MST
{
'offset_seconds': -25200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'MST',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Phoenix: ZoneInfo = {
'name': 'America/Phoenix',
'eras': ZONE_ERAS_America_Phoenix
}
# ---------------------------------------------------------------------------
# Zone name: America/Port-au-Prince
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Port_au_Prince: List[ZoneEra] = [
# -5:00 Haiti E%sT
{
'offset_seconds': -18000,
'zone_policy': ZONE_POLICY_Haiti,
'rules_delta_seconds': 0,
'format': 'E%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Port_au_Prince: ZoneInfo = {
'name': 'America/Port-au-Prince',
'eras': ZONE_ERAS_America_Port_au_Prince
}
# ---------------------------------------------------------------------------
# Zone name: America/Porto_Velho
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Porto_Velho: List[ZoneEra] = [
# -4:00 Brazil -04/-03 1988 Sep 12
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_Brazil,
'rules_delta_seconds': 0,
'format': '-04/-03',
'until_year': 1988,
'until_month': 9,
'until_day': 12,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 - -04
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-04',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Porto_Velho: ZoneInfo = {
'name': 'America/Porto_Velho',
'eras': ZONE_ERAS_America_Porto_Velho
}
# ---------------------------------------------------------------------------
# Zone name: America/Puerto_Rico
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Puerto_Rico: List[ZoneEra] = [
# -4:00 - AST
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'AST',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Puerto_Rico: ZoneInfo = {
'name': 'America/Puerto_Rico',
'eras': ZONE_ERAS_America_Puerto_Rico
}
# ---------------------------------------------------------------------------
# Zone name: America/Punta_Arenas
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Punta_Arenas: List[ZoneEra] = [
# -4:00 Chile -04/-03 2016 Dec 4
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_Chile,
'rules_delta_seconds': 0,
'format': '-04/-03',
'until_year': 2016,
'until_month': 12,
'until_day': 4,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 - -03
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Punta_Arenas: ZoneInfo = {
'name': 'America/Punta_Arenas',
'eras': ZONE_ERAS_America_Punta_Arenas
}
# ---------------------------------------------------------------------------
# Zone name: America/Rainy_River
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Rainy_River: List[ZoneEra] = [
# -6:00 Canada C%sT
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_Canada,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Rainy_River: ZoneInfo = {
'name': 'America/Rainy_River',
'eras': ZONE_ERAS_America_Rainy_River
}
# ---------------------------------------------------------------------------
# Zone name: America/Rankin_Inlet
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Rankin_Inlet: List[ZoneEra] = [
# -6:00 NT_YK C%sT 2000 Oct 29 2:00
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_NT_YK,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 2000,
'until_month': 10,
'until_day': 29,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -5:00 - EST 2001 Apr 1 3:00
{
'offset_seconds': -18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EST',
'until_year': 2001,
'until_month': 4,
'until_day': 1,
'until_seconds': 10800,
'until_time_suffix': 'w',
},
# -6:00 Canada C%sT
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_Canada,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Rankin_Inlet: ZoneInfo = {
'name': 'America/Rankin_Inlet',
'eras': ZONE_ERAS_America_Rankin_Inlet
}
# ---------------------------------------------------------------------------
# Zone name: America/Recife
# Era count: 6
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Recife: List[ZoneEra] = [
# -3:00 Brazil -03/-02 1990 Sep 17
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Brazil,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 1990,
'until_month': 9,
'until_day': 17,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 - -03 1999 Sep 30
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 1999,
'until_month': 9,
'until_day': 30,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 Brazil -03/-02 2000 Oct 15
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Brazil,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 2000,
'until_month': 10,
'until_day': 15,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 - -03 2001 Sep 13
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 2001,
'until_month': 9,
'until_day': 13,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 Brazil -03/-02 2002 Oct 1
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Brazil,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 2002,
'until_month': 10,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 - -03
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Recife: ZoneInfo = {
'name': 'America/Recife',
'eras': ZONE_ERAS_America_Recife
}
# ---------------------------------------------------------------------------
# Zone name: America/Regina
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Regina: List[ZoneEra] = [
# -6:00 - CST
{
'offset_seconds': -21600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'CST',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Regina: ZoneInfo = {
'name': 'America/Regina',
'eras': ZONE_ERAS_America_Regina
}
# ---------------------------------------------------------------------------
# Zone name: America/Resolute
# Era count: 5
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Resolute: List[ZoneEra] = [
# -6:00 NT_YK C%sT 2000 Oct 29 2:00
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_NT_YK,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 2000,
'until_month': 10,
'until_day': 29,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -5:00 - EST 2001 Apr 1 3:00
{
'offset_seconds': -18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EST',
'until_year': 2001,
'until_month': 4,
'until_day': 1,
'until_seconds': 10800,
'until_time_suffix': 'w',
},
# -6:00 Canada C%sT 2006 Oct 29 2:00
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_Canada,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 2006,
'until_month': 10,
'until_day': 29,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -5:00 - EST 2007 Mar 11 3:00
{
'offset_seconds': -18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EST',
'until_year': 2007,
'until_month': 3,
'until_day': 11,
'until_seconds': 10800,
'until_time_suffix': 'w',
},
# -6:00 Canada C%sT
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_Canada,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Resolute: ZoneInfo = {
'name': 'America/Resolute',
'eras': ZONE_ERAS_America_Resolute
}
# ---------------------------------------------------------------------------
# Zone name: America/Rio_Branco
# Era count: 4
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Rio_Branco: List[ZoneEra] = [
# -5:00 Brazil -05/-04 1988 Sep 12
{
'offset_seconds': -18000,
'zone_policy': ZONE_POLICY_Brazil,
'rules_delta_seconds': 0,
'format': '-05/-04',
'until_year': 1988,
'until_month': 9,
'until_day': 12,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -5:00 - -05 2008 Jun 24 0:00
{
'offset_seconds': -18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-05',
'until_year': 2008,
'until_month': 6,
'until_day': 24,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 - -04 2013 Nov 10
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-04',
'until_year': 2013,
'until_month': 11,
'until_day': 10,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -5:00 - -05
{
'offset_seconds': -18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-05',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Rio_Branco: ZoneInfo = {
'name': 'America/Rio_Branco',
'eras': ZONE_ERAS_America_Rio_Branco
}
# ---------------------------------------------------------------------------
# Zone name: America/Santarem
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Santarem: List[ZoneEra] = [
# -4:00 Brazil -04/-03 1988 Sep 12
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_Brazil,
'rules_delta_seconds': 0,
'format': '-04/-03',
'until_year': 1988,
'until_month': 9,
'until_day': 12,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 - -04 2008 Jun 24 0:00
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-04',
'until_year': 2008,
'until_month': 6,
'until_day': 24,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 - -03
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Santarem: ZoneInfo = {
'name': 'America/Santarem',
'eras': ZONE_ERAS_America_Santarem
}
# ---------------------------------------------------------------------------
# Zone name: America/Santiago
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Santiago: List[ZoneEra] = [
# -4:00 Chile -04/-03
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_Chile,
'rules_delta_seconds': 0,
'format': '-04/-03',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Santiago: ZoneInfo = {
'name': 'America/Santiago',
'eras': ZONE_ERAS_America_Santiago
}
# ---------------------------------------------------------------------------
# Zone name: America/Santo_Domingo
# Era count: 4
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Santo_Domingo: List[ZoneEra] = [
# -5:00 DR %s 1974 Oct 27
{
'offset_seconds': -18000,
'zone_policy': ZONE_POLICY_DR,
'rules_delta_seconds': 0,
'format': '%s',
'until_year': 1974,
'until_month': 10,
'until_day': 27,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 - AST 2000 Oct 29 2:00
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'AST',
'until_year': 2000,
'until_month': 10,
'until_day': 29,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -5:00 US E%sT 2000 Dec 3 1:00
{
'offset_seconds': -18000,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'E%sT',
'until_year': 2000,
'until_month': 12,
'until_day': 3,
'until_seconds': 3600,
'until_time_suffix': 'w',
},
# -4:00 - AST
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'AST',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Santo_Domingo: ZoneInfo = {
'name': 'America/Santo_Domingo',
'eras': ZONE_ERAS_America_Santo_Domingo
}
# ---------------------------------------------------------------------------
# Zone name: America/Sao_Paulo
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Sao_Paulo: List[ZoneEra] = [
# -3:00 Brazil -03/-02
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Brazil,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Sao_Paulo: ZoneInfo = {
'name': 'America/Sao_Paulo',
'eras': ZONE_ERAS_America_Sao_Paulo
}
# ---------------------------------------------------------------------------
# Zone name: America/Scoresbysund
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Scoresbysund: List[ZoneEra] = [
# -2:00 - -02 1980 Apr 6 2:00
{
'offset_seconds': -7200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-02',
'until_year': 1980,
'until_month': 4,
'until_day': 6,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -2:00 C-Eur -02/-01 1981 Mar 29
{
'offset_seconds': -7200,
'zone_policy': ZONE_POLICY_C_Eur,
'rules_delta_seconds': 0,
'format': '-02/-01',
'until_year': 1981,
'until_month': 3,
'until_day': 29,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -1:00 EU -01/+00
{
'offset_seconds': -3600,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': '-01/+00',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Scoresbysund: ZoneInfo = {
'name': 'America/Scoresbysund',
'eras': ZONE_ERAS_America_Scoresbysund
}
# ---------------------------------------------------------------------------
# Zone name: America/Sitka
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Sitka: List[ZoneEra] = [
# -8:00 US P%sT 1983 Oct 30 2:00
{
'offset_seconds': -28800,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'P%sT',
'until_year': 1983,
'until_month': 10,
'until_day': 30,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -9:00 US Y%sT 1983 Nov 30
{
'offset_seconds': -32400,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'Y%sT',
'until_year': 1983,
'until_month': 11,
'until_day': 30,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -9:00 US AK%sT
{
'offset_seconds': -32400,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'AK%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Sitka: ZoneInfo = {
'name': 'America/Sitka',
'eras': ZONE_ERAS_America_Sitka
}
# ---------------------------------------------------------------------------
# Zone name: America/St_Johns
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_America_St_Johns: List[ZoneEra] = [
# -3:30 StJohns N%sT 2011 Nov
{
'offset_seconds': -12600,
'zone_policy': ZONE_POLICY_StJohns,
'rules_delta_seconds': 0,
'format': 'N%sT',
'until_year': 2011,
'until_month': 11,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:30 Canada N%sT
{
'offset_seconds': -12600,
'zone_policy': ZONE_POLICY_Canada,
'rules_delta_seconds': 0,
'format': 'N%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_St_Johns: ZoneInfo = {
'name': 'America/St_Johns',
'eras': ZONE_ERAS_America_St_Johns
}
# ---------------------------------------------------------------------------
# Zone name: America/Swift_Current
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Swift_Current: List[ZoneEra] = [
# -6:00 - CST
{
'offset_seconds': -21600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'CST',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Swift_Current: ZoneInfo = {
'name': 'America/Swift_Current',
'eras': ZONE_ERAS_America_Swift_Current
}
# ---------------------------------------------------------------------------
# Zone name: America/Tegucigalpa
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Tegucigalpa: List[ZoneEra] = [
# -6:00 Hond C%sT
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_Hond,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Tegucigalpa: ZoneInfo = {
'name': 'America/Tegucigalpa',
'eras': ZONE_ERAS_America_Tegucigalpa
}
# ---------------------------------------------------------------------------
# Zone name: America/Thule
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Thule: List[ZoneEra] = [
# -4:00 Thule A%sT
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_Thule,
'rules_delta_seconds': 0,
'format': 'A%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Thule: ZoneInfo = {
'name': 'America/Thule',
'eras': ZONE_ERAS_America_Thule
}
# ---------------------------------------------------------------------------
# Zone name: America/Thunder_Bay
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Thunder_Bay: List[ZoneEra] = [
# -5:00 Toronto E%sT 1973
{
'offset_seconds': -18000,
'zone_policy': ZONE_POLICY_Toronto,
'rules_delta_seconds': 0,
'format': 'E%sT',
'until_year': 1973,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -5:00 - EST 1974
{
'offset_seconds': -18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EST',
'until_year': 1974,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -5:00 Canada E%sT
{
'offset_seconds': -18000,
'zone_policy': ZONE_POLICY_Canada,
'rules_delta_seconds': 0,
'format': 'E%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Thunder_Bay: ZoneInfo = {
'name': 'America/Thunder_Bay',
'eras': ZONE_ERAS_America_Thunder_Bay
}
# ---------------------------------------------------------------------------
# Zone name: America/Tijuana
# Era count: 6
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Tijuana: List[ZoneEra] = [
# -8:00 - PST 1976
{
'offset_seconds': -28800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'PST',
'until_year': 1976,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -8:00 US P%sT 1996
{
'offset_seconds': -28800,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'P%sT',
'until_year': 1996,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -8:00 Mexico P%sT 2001
{
'offset_seconds': -28800,
'zone_policy': ZONE_POLICY_Mexico,
'rules_delta_seconds': 0,
'format': 'P%sT',
'until_year': 2001,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -8:00 US P%sT 2002 Feb 20
{
'offset_seconds': -28800,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'P%sT',
'until_year': 2002,
'until_month': 2,
'until_day': 20,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -8:00 Mexico P%sT 2010
{
'offset_seconds': -28800,
'zone_policy': ZONE_POLICY_Mexico,
'rules_delta_seconds': 0,
'format': 'P%sT',
'until_year': 2010,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -8:00 US P%sT
{
'offset_seconds': -28800,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'P%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Tijuana: ZoneInfo = {
'name': 'America/Tijuana',
'eras': ZONE_ERAS_America_Tijuana
}
# ---------------------------------------------------------------------------
# Zone name: America/Toronto
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Toronto: List[ZoneEra] = [
# -5:00 Toronto E%sT 1974
{
'offset_seconds': -18000,
'zone_policy': ZONE_POLICY_Toronto,
'rules_delta_seconds': 0,
'format': 'E%sT',
'until_year': 1974,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -5:00 Canada E%sT
{
'offset_seconds': -18000,
'zone_policy': ZONE_POLICY_Canada,
'rules_delta_seconds': 0,
'format': 'E%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Toronto: ZoneInfo = {
'name': 'America/Toronto',
'eras': ZONE_ERAS_America_Toronto
}
# ---------------------------------------------------------------------------
# Zone name: America/Vancouver
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Vancouver: List[ZoneEra] = [
# -8:00 Vanc P%sT 1987
{
'offset_seconds': -28800,
'zone_policy': ZONE_POLICY_Vanc,
'rules_delta_seconds': 0,
'format': 'P%sT',
'until_year': 1987,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -8:00 Canada P%sT
{
'offset_seconds': -28800,
'zone_policy': ZONE_POLICY_Canada,
'rules_delta_seconds': 0,
'format': 'P%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Vancouver: ZoneInfo = {
'name': 'America/Vancouver',
'eras': ZONE_ERAS_America_Vancouver
}
# ---------------------------------------------------------------------------
# Zone name: America/Whitehorse
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Whitehorse: List[ZoneEra] = [
# -8:00 NT_YK P%sT 1980
{
'offset_seconds': -28800,
'zone_policy': ZONE_POLICY_NT_YK,
'rules_delta_seconds': 0,
'format': 'P%sT',
'until_year': 1980,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -8:00 Canada P%sT 2020 Nov 1
{
'offset_seconds': -28800,
'zone_policy': ZONE_POLICY_Canada,
'rules_delta_seconds': 0,
'format': 'P%sT',
'until_year': 2020,
'until_month': 11,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -7:00 - MST
{
'offset_seconds': -25200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'MST',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Whitehorse: ZoneInfo = {
'name': 'America/Whitehorse',
'eras': ZONE_ERAS_America_Whitehorse
}
# ---------------------------------------------------------------------------
# Zone name: America/Winnipeg
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Winnipeg: List[ZoneEra] = [
# -6:00 Winn C%sT 2006
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_Winn,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 2006,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -6:00 Canada C%sT
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_Canada,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Winnipeg: ZoneInfo = {
'name': 'America/Winnipeg',
'eras': ZONE_ERAS_America_Winnipeg
}
# ---------------------------------------------------------------------------
# Zone name: America/Yakutat
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Yakutat: List[ZoneEra] = [
# -9:00 US Y%sT 1983 Nov 30
{
'offset_seconds': -32400,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'Y%sT',
'until_year': 1983,
'until_month': 11,
'until_day': 30,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -9:00 US AK%sT
{
'offset_seconds': -32400,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'AK%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Yakutat: ZoneInfo = {
'name': 'America/Yakutat',
'eras': ZONE_ERAS_America_Yakutat
}
# ---------------------------------------------------------------------------
# Zone name: America/Yellowknife
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_America_Yellowknife: List[ZoneEra] = [
# -7:00 NT_YK M%sT 1980
{
'offset_seconds': -25200,
'zone_policy': ZONE_POLICY_NT_YK,
'rules_delta_seconds': 0,
'format': 'M%sT',
'until_year': 1980,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -7:00 Canada M%sT
{
'offset_seconds': -25200,
'zone_policy': ZONE_POLICY_Canada,
'rules_delta_seconds': 0,
'format': 'M%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_America_Yellowknife: ZoneInfo = {
'name': 'America/Yellowknife',
'eras': ZONE_ERAS_America_Yellowknife
}
# ---------------------------------------------------------------------------
# Zone name: Antarctica/Casey
# Era count: 12
# ---------------------------------------------------------------------------
ZONE_ERAS_Antarctica_Casey: List[ZoneEra] = [
# 8:00 - +08 2009 Oct 18 2:00
{
'offset_seconds': 28800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+08',
'until_year': 2009,
'until_month': 10,
'until_day': 18,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# 11:00 - +11 2010 Mar 5 2:00
{
'offset_seconds': 39600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+11',
'until_year': 2010,
'until_month': 3,
'until_day': 5,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# 8:00 - +08 2011 Oct 28 2:00
{
'offset_seconds': 28800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+08',
'until_year': 2011,
'until_month': 10,
'until_day': 28,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# 11:00 - +11 2012 Feb 21 17:00u
{
'offset_seconds': 39600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+11',
'until_year': 2012,
'until_month': 2,
'until_day': 21,
'until_seconds': 61200,
'until_time_suffix': 'u',
},
# 8:00 - +08 2016 Oct 22
{
'offset_seconds': 28800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+08',
'until_year': 2016,
'until_month': 10,
'until_day': 22,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 11:00 - +11 2018 Mar 11 4:00
{
'offset_seconds': 39600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+11',
'until_year': 2018,
'until_month': 3,
'until_day': 11,
'until_seconds': 14400,
'until_time_suffix': 'w',
},
# 8:00 - +08 2018 Oct 7 4:00
{
'offset_seconds': 28800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+08',
'until_year': 2018,
'until_month': 10,
'until_day': 7,
'until_seconds': 14400,
'until_time_suffix': 'w',
},
# 11:00 - +11 2019 Mar 17 3:00
{
'offset_seconds': 39600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+11',
'until_year': 2019,
'until_month': 3,
'until_day': 17,
'until_seconds': 10800,
'until_time_suffix': 'w',
},
# 8:00 - +08 2019 Oct 4 3:00
{
'offset_seconds': 28800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+08',
'until_year': 2019,
'until_month': 10,
'until_day': 4,
'until_seconds': 10800,
'until_time_suffix': 'w',
},
# 11:00 - +11 2020 Mar 8 3:00
{
'offset_seconds': 39600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+11',
'until_year': 2020,
'until_month': 3,
'until_day': 8,
'until_seconds': 10800,
'until_time_suffix': 'w',
},
# 8:00 - +08 2020 Oct 4 0:01
{
'offset_seconds': 28800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+08',
'until_year': 2020,
'until_month': 10,
'until_day': 4,
'until_seconds': 60,
'until_time_suffix': 'w',
},
# 11:00 - +11
{
'offset_seconds': 39600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+11',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Antarctica_Casey: ZoneInfo = {
'name': 'Antarctica/Casey',
'eras': ZONE_ERAS_Antarctica_Casey
}
# ---------------------------------------------------------------------------
# Zone name: Antarctica/Davis
# Era count: 5
# ---------------------------------------------------------------------------
ZONE_ERAS_Antarctica_Davis: List[ZoneEra] = [
# 7:00 - +07 2009 Oct 18 2:00
{
'offset_seconds': 25200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+07',
'until_year': 2009,
'until_month': 10,
'until_day': 18,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# 5:00 - +05 2010 Mar 10 20:00u
{
'offset_seconds': 18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+05',
'until_year': 2010,
'until_month': 3,
'until_day': 10,
'until_seconds': 72000,
'until_time_suffix': 'u',
},
# 7:00 - +07 2011 Oct 28 2:00
{
'offset_seconds': 25200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+07',
'until_year': 2011,
'until_month': 10,
'until_day': 28,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# 5:00 - +05 2012 Feb 21 20:00u
{
'offset_seconds': 18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+05',
'until_year': 2012,
'until_month': 2,
'until_day': 21,
'until_seconds': 72000,
'until_time_suffix': 'u',
},
# 7:00 - +07
{
'offset_seconds': 25200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+07',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Antarctica_Davis: ZoneInfo = {
'name': 'Antarctica/Davis',
'eras': ZONE_ERAS_Antarctica_Davis
}
# ---------------------------------------------------------------------------
# Zone name: Antarctica/Macquarie
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_Antarctica_Macquarie: List[ZoneEra] = [
# 10:00 AT AE%sT 2010
{
'offset_seconds': 36000,
'zone_policy': ZONE_POLICY_AT,
'rules_delta_seconds': 0,
'format': 'AE%sT',
'until_year': 2010,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 10:00 1:00 AEDT 2011
{
'offset_seconds': 36000,
'zone_policy': ':',
'rules_delta_seconds': 3600,
'format': 'AEDT',
'until_year': 2011,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 10:00 AT AE%sT
{
'offset_seconds': 36000,
'zone_policy': ZONE_POLICY_AT,
'rules_delta_seconds': 0,
'format': 'AE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Antarctica_Macquarie: ZoneInfo = {
'name': 'Antarctica/Macquarie',
'eras': ZONE_ERAS_Antarctica_Macquarie
}
# ---------------------------------------------------------------------------
# Zone name: Antarctica/Mawson
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Antarctica_Mawson: List[ZoneEra] = [
# 6:00 - +06 2009 Oct 18 2:00
{
'offset_seconds': 21600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+06',
'until_year': 2009,
'until_month': 10,
'until_day': 18,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# 5:00 - +05
{
'offset_seconds': 18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+05',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Antarctica_Mawson: ZoneInfo = {
'name': 'Antarctica/Mawson',
'eras': ZONE_ERAS_Antarctica_Mawson
}
# ---------------------------------------------------------------------------
# Zone name: Antarctica/Palmer
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_Antarctica_Palmer: List[ZoneEra] = [
# -3:00 Arg -03/-02 1982 May
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Arg,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 1982,
'until_month': 5,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 Chile -04/-03 2016 Dec 4
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_Chile,
'rules_delta_seconds': 0,
'format': '-04/-03',
'until_year': 2016,
'until_month': 12,
'until_day': 4,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 - -03
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Antarctica_Palmer: ZoneInfo = {
'name': 'Antarctica/Palmer',
'eras': ZONE_ERAS_Antarctica_Palmer
}
# ---------------------------------------------------------------------------
# Zone name: Antarctica/Rothera
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Antarctica_Rothera: List[ZoneEra] = [
# 0 - -00 1976 Dec 1
{
'offset_seconds': 0,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-00',
'until_year': 1976,
'until_month': 12,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 - -03
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Antarctica_Rothera: ZoneInfo = {
'name': 'Antarctica/Rothera',
'eras': ZONE_ERAS_Antarctica_Rothera
}
# ---------------------------------------------------------------------------
# Zone name: Antarctica/Troll
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Antarctica_Troll: List[ZoneEra] = [
# 0 - -00 2005 Feb 12
{
'offset_seconds': 0,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-00',
'until_year': 2005,
'until_month': 2,
'until_day': 12,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 0:00 Troll %s
{
'offset_seconds': 0,
'zone_policy': ZONE_POLICY_Troll,
'rules_delta_seconds': 0,
'format': '%s',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Antarctica_Troll: ZoneInfo = {
'name': 'Antarctica/Troll',
'eras': ZONE_ERAS_Antarctica_Troll
}
# ---------------------------------------------------------------------------
# Zone name: Antarctica/Vostok
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Antarctica_Vostok: List[ZoneEra] = [
# 6:00 - +06
{
'offset_seconds': 21600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+06',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Antarctica_Vostok: ZoneInfo = {
'name': 'Antarctica/Vostok',
'eras': ZONE_ERAS_Antarctica_Vostok
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Almaty
# Era count: 4
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Almaty: List[ZoneEra] = [
# 6:00 RussiaAsia +06/+07 1991 Mar 31 2:00s
{
'offset_seconds': 21600,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+06/+07',
'until_year': 1991,
'until_month': 3,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 5:00 RussiaAsia +05/+06 1992 Jan 19 2:00s
{
'offset_seconds': 18000,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+05/+06',
'until_year': 1992,
'until_month': 1,
'until_day': 19,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 6:00 RussiaAsia +06/+07 2004 Oct 31 2:00s
{
'offset_seconds': 21600,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+06/+07',
'until_year': 2004,
'until_month': 10,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 6:00 - +06
{
'offset_seconds': 21600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+06',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Almaty: ZoneInfo = {
'name': 'Asia/Almaty',
'eras': ZONE_ERAS_Asia_Almaty
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Amman
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Amman: List[ZoneEra] = [
# 2:00 Jordan EE%sT
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_Jordan,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Amman: ZoneInfo = {
'name': 'Asia/Amman',
'eras': ZONE_ERAS_Asia_Amman
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Anadyr
# Era count: 6
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Anadyr: List[ZoneEra] = [
# 13:00 Russia +13/+14 1982 Apr 1 0:00s
{
'offset_seconds': 46800,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+13/+14',
'until_year': 1982,
'until_month': 4,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 's',
},
# 12:00 Russia +12/+13 1991 Mar 31 2:00s
{
'offset_seconds': 43200,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+12/+13',
'until_year': 1991,
'until_month': 3,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 11:00 Russia +11/+12 1992 Jan 19 2:00s
{
'offset_seconds': 39600,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+11/+12',
'until_year': 1992,
'until_month': 1,
'until_day': 19,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 12:00 Russia +12/+13 2010 Mar 28 2:00s
{
'offset_seconds': 43200,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+12/+13',
'until_year': 2010,
'until_month': 3,
'until_day': 28,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 11:00 Russia +11/+12 2011 Mar 27 2:00s
{
'offset_seconds': 39600,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+11/+12',
'until_year': 2011,
'until_month': 3,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 12:00 - +12
{
'offset_seconds': 43200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+12',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Anadyr: ZoneInfo = {
'name': 'Asia/Anadyr',
'eras': ZONE_ERAS_Asia_Anadyr
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Aqtau
# Era count: 7
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Aqtau: List[ZoneEra] = [
# 5:00 - +05 1981 Oct 1
{
'offset_seconds': 18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+05',
'until_year': 1981,
'until_month': 10,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 6:00 - +06 1982 Apr 1
{
'offset_seconds': 21600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+06',
'until_year': 1982,
'until_month': 4,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 5:00 RussiaAsia +05/+06 1991 Mar 31 2:00s
{
'offset_seconds': 18000,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+05/+06',
'until_year': 1991,
'until_month': 3,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 4:00 RussiaAsia +04/+05 1992 Jan 19 2:00s
{
'offset_seconds': 14400,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+04/+05',
'until_year': 1992,
'until_month': 1,
'until_day': 19,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 5:00 RussiaAsia +05/+06 1994 Sep 25 2:00s
{
'offset_seconds': 18000,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+05/+06',
'until_year': 1994,
'until_month': 9,
'until_day': 25,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 4:00 RussiaAsia +04/+05 2004 Oct 31 2:00s
{
'offset_seconds': 14400,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+04/+05',
'until_year': 2004,
'until_month': 10,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 5:00 - +05
{
'offset_seconds': 18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+05',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Aqtau: ZoneInfo = {
'name': 'Asia/Aqtau',
'eras': ZONE_ERAS_Asia_Aqtau
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Aqtobe
# Era count: 7
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Aqtobe: List[ZoneEra] = [
# 5:00 - +05 1981 Apr 1
{
'offset_seconds': 18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+05',
'until_year': 1981,
'until_month': 4,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 5:00 1:00 +06 1981 Oct 1
{
'offset_seconds': 18000,
'zone_policy': ':',
'rules_delta_seconds': 3600,
'format': '+06',
'until_year': 1981,
'until_month': 10,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 6:00 - +06 1982 Apr 1
{
'offset_seconds': 21600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+06',
'until_year': 1982,
'until_month': 4,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 5:00 RussiaAsia +05/+06 1991 Mar 31 2:00s
{
'offset_seconds': 18000,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+05/+06',
'until_year': 1991,
'until_month': 3,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 4:00 RussiaAsia +04/+05 1992 Jan 19 2:00s
{
'offset_seconds': 14400,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+04/+05',
'until_year': 1992,
'until_month': 1,
'until_day': 19,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 5:00 RussiaAsia +05/+06 2004 Oct 31 2:00s
{
'offset_seconds': 18000,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+05/+06',
'until_year': 2004,
'until_month': 10,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 5:00 - +05
{
'offset_seconds': 18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+05',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Aqtobe: ZoneInfo = {
'name': 'Asia/Aqtobe',
'eras': ZONE_ERAS_Asia_Aqtobe
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Ashgabat
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Ashgabat: List[ZoneEra] = [
# 5:00 RussiaAsia +05/+06 1991 Mar 31 2:00
{
'offset_seconds': 18000,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+05/+06',
'until_year': 1991,
'until_month': 3,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# 4:00 RussiaAsia +04/+05 1992 Jan 19 2:00
{
'offset_seconds': 14400,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+04/+05',
'until_year': 1992,
'until_month': 1,
'until_day': 19,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# 5:00 - +05
{
'offset_seconds': 18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+05',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Ashgabat: ZoneInfo = {
'name': 'Asia/Ashgabat',
'eras': ZONE_ERAS_Asia_Ashgabat
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Atyrau
# Era count: 7
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Atyrau: List[ZoneEra] = [
# 5:00 - +05 1981 Oct 1
{
'offset_seconds': 18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+05',
'until_year': 1981,
'until_month': 10,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 6:00 - +06 1982 Apr 1
{
'offset_seconds': 21600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+06',
'until_year': 1982,
'until_month': 4,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 5:00 RussiaAsia +05/+06 1991 Mar 31 2:00s
{
'offset_seconds': 18000,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+05/+06',
'until_year': 1991,
'until_month': 3,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 4:00 RussiaAsia +04/+05 1992 Jan 19 2:00s
{
'offset_seconds': 14400,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+04/+05',
'until_year': 1992,
'until_month': 1,
'until_day': 19,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 5:00 RussiaAsia +05/+06 1999 Mar 28 2:00s
{
'offset_seconds': 18000,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+05/+06',
'until_year': 1999,
'until_month': 3,
'until_day': 28,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 4:00 RussiaAsia +04/+05 2004 Oct 31 2:00s
{
'offset_seconds': 14400,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+04/+05',
'until_year': 2004,
'until_month': 10,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 5:00 - +05
{
'offset_seconds': 18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+05',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Atyrau: ZoneInfo = {
'name': 'Asia/Atyrau',
'eras': ZONE_ERAS_Asia_Atyrau
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Baghdad
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Baghdad: List[ZoneEra] = [
# 3:00 - +03 1982 May
{
'offset_seconds': 10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+03',
'until_year': 1982,
'until_month': 5,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 3:00 Iraq +03/+04
{
'offset_seconds': 10800,
'zone_policy': ZONE_POLICY_Iraq,
'rules_delta_seconds': 0,
'format': '+03/+04',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Baghdad: ZoneInfo = {
'name': 'Asia/Baghdad',
'eras': ZONE_ERAS_Asia_Baghdad
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Baku
# Era count: 5
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Baku: List[ZoneEra] = [
# 4:00 RussiaAsia +04/+05 1991 Mar 31 2:00s
{
'offset_seconds': 14400,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+04/+05',
'until_year': 1991,
'until_month': 3,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 3:00 RussiaAsia +03/+04 1992 Sep lastSun 2:00s
{
'offset_seconds': 10800,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+03/+04',
'until_year': 1992,
'until_month': 9,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 4:00 - +04 1996
{
'offset_seconds': 14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+04',
'until_year': 1996,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 4:00 EUAsia +04/+05 1997
{
'offset_seconds': 14400,
'zone_policy': ZONE_POLICY_EUAsia,
'rules_delta_seconds': 0,
'format': '+04/+05',
'until_year': 1997,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 4:00 Azer +04/+05
{
'offset_seconds': 14400,
'zone_policy': ZONE_POLICY_Azer,
'rules_delta_seconds': 0,
'format': '+04/+05',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Baku: ZoneInfo = {
'name': 'Asia/Baku',
'eras': ZONE_ERAS_Asia_Baku
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Bangkok
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Bangkok: List[ZoneEra] = [
# 7:00 - +07
{
'offset_seconds': 25200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+07',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Bangkok: ZoneInfo = {
'name': 'Asia/Bangkok',
'eras': ZONE_ERAS_Asia_Bangkok
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Barnaul
# Era count: 7
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Barnaul: List[ZoneEra] = [
# 7:00 Russia +07/+08 1991 Mar 31 2:00s
{
'offset_seconds': 25200,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+07/+08',
'until_year': 1991,
'until_month': 3,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 6:00 Russia +06/+07 1992 Jan 19 2:00s
{
'offset_seconds': 21600,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+06/+07',
'until_year': 1992,
'until_month': 1,
'until_day': 19,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 7:00 Russia +07/+08 1995 May 28
{
'offset_seconds': 25200,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+07/+08',
'until_year': 1995,
'until_month': 5,
'until_day': 28,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 6:00 Russia +06/+07 2011 Mar 27 2:00s
{
'offset_seconds': 21600,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+06/+07',
'until_year': 2011,
'until_month': 3,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 7:00 - +07 2014 Oct 26 2:00s
{
'offset_seconds': 25200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+07',
'until_year': 2014,
'until_month': 10,
'until_day': 26,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 6:00 - +06 2016 Mar 27 2:00s
{
'offset_seconds': 21600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+06',
'until_year': 2016,
'until_month': 3,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 7:00 - +07
{
'offset_seconds': 25200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+07',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Barnaul: ZoneInfo = {
'name': 'Asia/Barnaul',
'eras': ZONE_ERAS_Asia_Barnaul
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Beirut
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Beirut: List[ZoneEra] = [
# 2:00 Lebanon EE%sT
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_Lebanon,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Beirut: ZoneInfo = {
'name': 'Asia/Beirut',
'eras': ZONE_ERAS_Asia_Beirut
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Bishkek
# Era count: 4
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Bishkek: List[ZoneEra] = [
# 6:00 RussiaAsia +06/+07 1991 Mar 31 2:00s
{
'offset_seconds': 21600,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+06/+07',
'until_year': 1991,
'until_month': 3,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 5:00 RussiaAsia +05/+06 1991 Aug 31 2:00
{
'offset_seconds': 18000,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+05/+06',
'until_year': 1991,
'until_month': 8,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# 5:00 Kyrgyz +05/+06 2005 Aug 12
{
'offset_seconds': 18000,
'zone_policy': ZONE_POLICY_Kyrgyz,
'rules_delta_seconds': 0,
'format': '+05/+06',
'until_year': 2005,
'until_month': 8,
'until_day': 12,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 6:00 - +06
{
'offset_seconds': 21600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+06',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Bishkek: ZoneInfo = {
'name': 'Asia/Bishkek',
'eras': ZONE_ERAS_Asia_Bishkek
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Brunei
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Brunei: List[ZoneEra] = [
# 8:00 - +08
{
'offset_seconds': 28800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+08',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Brunei: ZoneInfo = {
'name': 'Asia/Brunei',
'eras': ZONE_ERAS_Asia_Brunei
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Chita
# Era count: 6
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Chita: List[ZoneEra] = [
# 9:00 Russia +09/+10 1991 Mar 31 2:00s
{
'offset_seconds': 32400,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+09/+10',
'until_year': 1991,
'until_month': 3,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 8:00 Russia +08/+09 1992 Jan 19 2:00s
{
'offset_seconds': 28800,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+08/+09',
'until_year': 1992,
'until_month': 1,
'until_day': 19,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 9:00 Russia +09/+10 2011 Mar 27 2:00s
{
'offset_seconds': 32400,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+09/+10',
'until_year': 2011,
'until_month': 3,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 10:00 - +10 2014 Oct 26 2:00s
{
'offset_seconds': 36000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+10',
'until_year': 2014,
'until_month': 10,
'until_day': 26,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 8:00 - +08 2016 Mar 27 2:00
{
'offset_seconds': 28800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+08',
'until_year': 2016,
'until_month': 3,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# 9:00 - +09
{
'offset_seconds': 32400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+09',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Chita: ZoneInfo = {
'name': 'Asia/Chita',
'eras': ZONE_ERAS_Asia_Chita
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Choibalsan
# Era count: 4
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Choibalsan: List[ZoneEra] = [
# 7:00 - +07 1978
{
'offset_seconds': 25200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+07',
'until_year': 1978,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 8:00 - +08 1983 Apr
{
'offset_seconds': 28800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+08',
'until_year': 1983,
'until_month': 4,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 9:00 Mongol +09/+10 2008 Mar 31
{
'offset_seconds': 32400,
'zone_policy': ZONE_POLICY_Mongol,
'rules_delta_seconds': 0,
'format': '+09/+10',
'until_year': 2008,
'until_month': 3,
'until_day': 31,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 8:00 Mongol +08/+09
{
'offset_seconds': 28800,
'zone_policy': ZONE_POLICY_Mongol,
'rules_delta_seconds': 0,
'format': '+08/+09',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Choibalsan: ZoneInfo = {
'name': 'Asia/Choibalsan',
'eras': ZONE_ERAS_Asia_Choibalsan
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Colombo
# Era count: 4
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Colombo: List[ZoneEra] = [
# 5:30 - +0530 1996 May 25 0:00
{
'offset_seconds': 19800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+0530',
'until_year': 1996,
'until_month': 5,
'until_day': 25,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 6:30 - +0630 1996 Oct 26 0:30
{
'offset_seconds': 23400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+0630',
'until_year': 1996,
'until_month': 10,
'until_day': 26,
'until_seconds': 1800,
'until_time_suffix': 'w',
},
# 6:00 - +06 2006 Apr 15 0:30
{
'offset_seconds': 21600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+06',
'until_year': 2006,
'until_month': 4,
'until_day': 15,
'until_seconds': 1800,
'until_time_suffix': 'w',
},
# 5:30 - +0530
{
'offset_seconds': 19800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+0530',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Colombo: ZoneInfo = {
'name': 'Asia/Colombo',
'eras': ZONE_ERAS_Asia_Colombo
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Damascus
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Damascus: List[ZoneEra] = [
# 2:00 Syria EE%sT
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_Syria,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Damascus: ZoneInfo = {
'name': 'Asia/Damascus',
'eras': ZONE_ERAS_Asia_Damascus
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Dhaka
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Dhaka: List[ZoneEra] = [
# 6:00 - +06 2009
{
'offset_seconds': 21600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+06',
'until_year': 2009,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 6:00 Dhaka +06/+07
{
'offset_seconds': 21600,
'zone_policy': ZONE_POLICY_Dhaka,
'rules_delta_seconds': 0,
'format': '+06/+07',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Dhaka: ZoneInfo = {
'name': 'Asia/Dhaka',
'eras': ZONE_ERAS_Asia_Dhaka
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Dili
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Dili: List[ZoneEra] = [
# 9:00 - +09 1976 May 3
{
'offset_seconds': 32400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+09',
'until_year': 1976,
'until_month': 5,
'until_day': 3,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 8:00 - +08 2000 Sep 17 0:00
{
'offset_seconds': 28800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+08',
'until_year': 2000,
'until_month': 9,
'until_day': 17,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 9:00 - +09
{
'offset_seconds': 32400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+09',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Dili: ZoneInfo = {
'name': 'Asia/Dili',
'eras': ZONE_ERAS_Asia_Dili
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Dubai
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Dubai: List[ZoneEra] = [
# 4:00 - +04
{
'offset_seconds': 14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+04',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Dubai: ZoneInfo = {
'name': 'Asia/Dubai',
'eras': ZONE_ERAS_Asia_Dubai
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Dushanbe
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Dushanbe: List[ZoneEra] = [
# 6:00 RussiaAsia +06/+07 1991 Mar 31 2:00s
{
'offset_seconds': 21600,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+06/+07',
'until_year': 1991,
'until_month': 3,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 5:00 1:00 +05/+06 1991 Sep 9 2:00s
{
'offset_seconds': 18000,
'zone_policy': ':',
'rules_delta_seconds': 3600,
'format': '+05/+06',
'until_year': 1991,
'until_month': 9,
'until_day': 9,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 5:00 - +05
{
'offset_seconds': 18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+05',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Dushanbe: ZoneInfo = {
'name': 'Asia/Dushanbe',
'eras': ZONE_ERAS_Asia_Dushanbe
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Famagusta
# Era count: 4
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Famagusta: List[ZoneEra] = [
# 2:00 Cyprus EE%sT 1998 Sep
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_Cyprus,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 1998,
'until_month': 9,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 2:00 EUAsia EE%sT 2016 Sep 8
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_EUAsia,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 2016,
'until_month': 9,
'until_day': 8,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 3:00 - +03 2017 Oct 29 1:00u
{
'offset_seconds': 10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+03',
'until_year': 2017,
'until_month': 10,
'until_day': 29,
'until_seconds': 3600,
'until_time_suffix': 'u',
},
# 2:00 EUAsia EE%sT
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_EUAsia,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Famagusta: ZoneInfo = {
'name': 'Asia/Famagusta',
'eras': ZONE_ERAS_Asia_Famagusta
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Gaza
# Era count: 9
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Gaza: List[ZoneEra] = [
# 2:00 Zion I%sT 1996
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_Zion,
'rules_delta_seconds': 0,
'format': 'I%sT',
'until_year': 1996,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 2:00 Jordan EE%sT 1999
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_Jordan,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 1999,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 2:00 Palestine EE%sT 2008 Aug 29 0:00
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_Palestine,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 2008,
'until_month': 8,
'until_day': 29,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 2:00 - EET 2008 Sep
{
'offset_seconds': 7200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EET',
'until_year': 2008,
'until_month': 9,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 2:00 Palestine EE%sT 2010
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_Palestine,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 2010,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 2:00 - EET 2010 Mar 27 0:01
{
'offset_seconds': 7200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EET',
'until_year': 2010,
'until_month': 3,
'until_day': 27,
'until_seconds': 60,
'until_time_suffix': 'w',
},
# 2:00 Palestine EE%sT 2011 Aug 1
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_Palestine,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 2011,
'until_month': 8,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 2:00 - EET 2012
{
'offset_seconds': 7200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EET',
'until_year': 2012,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 2:00 Palestine EE%sT
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_Palestine,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Gaza: ZoneInfo = {
'name': 'Asia/Gaza',
'eras': ZONE_ERAS_Asia_Gaza
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Hebron
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Hebron: List[ZoneEra] = [
# 2:00 Zion I%sT 1996
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_Zion,
'rules_delta_seconds': 0,
'format': 'I%sT',
'until_year': 1996,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 2:00 Jordan EE%sT 1999
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_Jordan,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 1999,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 2:00 Palestine EE%sT
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_Palestine,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Hebron: ZoneInfo = {
'name': 'Asia/Hebron',
'eras': ZONE_ERAS_Asia_Hebron
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Ho_Chi_Minh
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Ho_Chi_Minh: List[ZoneEra] = [
# 8:00 - +08 1975 Jun 13
{
'offset_seconds': 28800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+08',
'until_year': 1975,
'until_month': 6,
'until_day': 13,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 7:00 - +07
{
'offset_seconds': 25200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+07',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Ho_Chi_Minh: ZoneInfo = {
'name': 'Asia/Ho_Chi_Minh',
'eras': ZONE_ERAS_Asia_Ho_Chi_Minh
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Hong_Kong
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Hong_Kong: List[ZoneEra] = [
# 8:00 HK HK%sT
{
'offset_seconds': 28800,
'zone_policy': ZONE_POLICY_HK,
'rules_delta_seconds': 0,
'format': 'HK%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Hong_Kong: ZoneInfo = {
'name': 'Asia/Hong_Kong',
'eras': ZONE_ERAS_Asia_Hong_Kong
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Hovd
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Hovd: List[ZoneEra] = [
# 6:00 - +06 1978
{
'offset_seconds': 21600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+06',
'until_year': 1978,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 7:00 Mongol +07/+08
{
'offset_seconds': 25200,
'zone_policy': ZONE_POLICY_Mongol,
'rules_delta_seconds': 0,
'format': '+07/+08',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Hovd: ZoneInfo = {
'name': 'Asia/Hovd',
'eras': ZONE_ERAS_Asia_Hovd
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Irkutsk
# Era count: 5
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Irkutsk: List[ZoneEra] = [
# 8:00 Russia +08/+09 1991 Mar 31 2:00s
{
'offset_seconds': 28800,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+08/+09',
'until_year': 1991,
'until_month': 3,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 7:00 Russia +07/+08 1992 Jan 19 2:00s
{
'offset_seconds': 25200,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+07/+08',
'until_year': 1992,
'until_month': 1,
'until_day': 19,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 8:00 Russia +08/+09 2011 Mar 27 2:00s
{
'offset_seconds': 28800,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+08/+09',
'until_year': 2011,
'until_month': 3,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 9:00 - +09 2014 Oct 26 2:00s
{
'offset_seconds': 32400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+09',
'until_year': 2014,
'until_month': 10,
'until_day': 26,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 8:00 - +08
{
'offset_seconds': 28800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+08',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Irkutsk: ZoneInfo = {
'name': 'Asia/Irkutsk',
'eras': ZONE_ERAS_Asia_Irkutsk
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Jakarta
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Jakarta: List[ZoneEra] = [
# 7:00 - WIB
{
'offset_seconds': 25200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'WIB',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Jakarta: ZoneInfo = {
'name': 'Asia/Jakarta',
'eras': ZONE_ERAS_Asia_Jakarta
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Jayapura
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Jayapura: List[ZoneEra] = [
# 9:00 - WIT
{
'offset_seconds': 32400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'WIT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Jayapura: ZoneInfo = {
'name': 'Asia/Jayapura',
'eras': ZONE_ERAS_Asia_Jayapura
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Jerusalem
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Jerusalem: List[ZoneEra] = [
# 2:00 Zion I%sT
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_Zion,
'rules_delta_seconds': 0,
'format': 'I%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Jerusalem: ZoneInfo = {
'name': 'Asia/Jerusalem',
'eras': ZONE_ERAS_Asia_Jerusalem
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Kabul
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Kabul: List[ZoneEra] = [
# 4:30 - +0430
{
'offset_seconds': 16200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+0430',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Kabul: ZoneInfo = {
'name': 'Asia/Kabul',
'eras': ZONE_ERAS_Asia_Kabul
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Kamchatka
# Era count: 5
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Kamchatka: List[ZoneEra] = [
# 12:00 Russia +12/+13 1991 Mar 31 2:00s
{
'offset_seconds': 43200,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+12/+13',
'until_year': 1991,
'until_month': 3,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 11:00 Russia +11/+12 1992 Jan 19 2:00s
{
'offset_seconds': 39600,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+11/+12',
'until_year': 1992,
'until_month': 1,
'until_day': 19,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 12:00 Russia +12/+13 2010 Mar 28 2:00s
{
'offset_seconds': 43200,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+12/+13',
'until_year': 2010,
'until_month': 3,
'until_day': 28,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 11:00 Russia +11/+12 2011 Mar 27 2:00s
{
'offset_seconds': 39600,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+11/+12',
'until_year': 2011,
'until_month': 3,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 12:00 - +12
{
'offset_seconds': 43200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+12',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Kamchatka: ZoneInfo = {
'name': 'Asia/Kamchatka',
'eras': ZONE_ERAS_Asia_Kamchatka
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Karachi
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Karachi: List[ZoneEra] = [
# 5:00 Pakistan PK%sT
{
'offset_seconds': 18000,
'zone_policy': ZONE_POLICY_Pakistan,
'rules_delta_seconds': 0,
'format': 'PK%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Karachi: ZoneInfo = {
'name': 'Asia/Karachi',
'eras': ZONE_ERAS_Asia_Karachi
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Kathmandu
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Kathmandu: List[ZoneEra] = [
# 5:30 - +0530 1986
{
'offset_seconds': 19800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+0530',
'until_year': 1986,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 5:45 - +0545
{
'offset_seconds': 20700,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+0545',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Kathmandu: ZoneInfo = {
'name': 'Asia/Kathmandu',
'eras': ZONE_ERAS_Asia_Kathmandu
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Khandyga
# Era count: 7
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Khandyga: List[ZoneEra] = [
# 9:00 Russia +09/+10 1991 Mar 31 2:00s
{
'offset_seconds': 32400,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+09/+10',
'until_year': 1991,
'until_month': 3,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 8:00 Russia +08/+09 1992 Jan 19 2:00s
{
'offset_seconds': 28800,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+08/+09',
'until_year': 1992,
'until_month': 1,
'until_day': 19,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 9:00 Russia +09/+10 2004
{
'offset_seconds': 32400,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+09/+10',
'until_year': 2004,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 10:00 Russia +10/+11 2011 Mar 27 2:00s
{
'offset_seconds': 36000,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+10/+11',
'until_year': 2011,
'until_month': 3,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 11:00 - +11 2011 Sep 13 0:00s
{
'offset_seconds': 39600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+11',
'until_year': 2011,
'until_month': 9,
'until_day': 13,
'until_seconds': 0,
'until_time_suffix': 's',
},
# 10:00 - +10 2014 Oct 26 2:00s
{
'offset_seconds': 36000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+10',
'until_year': 2014,
'until_month': 10,
'until_day': 26,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 9:00 - +09
{
'offset_seconds': 32400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+09',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Khandyga: ZoneInfo = {
'name': 'Asia/Khandyga',
'eras': ZONE_ERAS_Asia_Khandyga
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Kolkata
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Kolkata: List[ZoneEra] = [
# 5:30 - IST
{
'offset_seconds': 19800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'IST',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Kolkata: ZoneInfo = {
'name': 'Asia/Kolkata',
'eras': ZONE_ERAS_Asia_Kolkata
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Krasnoyarsk
# Era count: 5
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Krasnoyarsk: List[ZoneEra] = [
# 7:00 Russia +07/+08 1991 Mar 31 2:00s
{
'offset_seconds': 25200,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+07/+08',
'until_year': 1991,
'until_month': 3,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 6:00 Russia +06/+07 1992 Jan 19 2:00s
{
'offset_seconds': 21600,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+06/+07',
'until_year': 1992,
'until_month': 1,
'until_day': 19,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 7:00 Russia +07/+08 2011 Mar 27 2:00s
{
'offset_seconds': 25200,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+07/+08',
'until_year': 2011,
'until_month': 3,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 8:00 - +08 2014 Oct 26 2:00s
{
'offset_seconds': 28800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+08',
'until_year': 2014,
'until_month': 10,
'until_day': 26,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 7:00 - +07
{
'offset_seconds': 25200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+07',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Krasnoyarsk: ZoneInfo = {
'name': 'Asia/Krasnoyarsk',
'eras': ZONE_ERAS_Asia_Krasnoyarsk
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Kuala_Lumpur
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Kuala_Lumpur: List[ZoneEra] = [
# 7:30 - +0730 1982 Jan 1
{
'offset_seconds': 27000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+0730',
'until_year': 1982,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 8:00 - +08
{
'offset_seconds': 28800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+08',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Kuala_Lumpur: ZoneInfo = {
'name': 'Asia/Kuala_Lumpur',
'eras': ZONE_ERAS_Asia_Kuala_Lumpur
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Kuching
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Kuching: List[ZoneEra] = [
# 8:00 - +08
{
'offset_seconds': 28800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+08',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Kuching: ZoneInfo = {
'name': 'Asia/Kuching',
'eras': ZONE_ERAS_Asia_Kuching
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Macau
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Macau: List[ZoneEra] = [
# 8:00 Macau C%sT
{
'offset_seconds': 28800,
'zone_policy': ZONE_POLICY_Macau,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Macau: ZoneInfo = {
'name': 'Asia/Macau',
'eras': ZONE_ERAS_Asia_Macau
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Magadan
# Era count: 6
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Magadan: List[ZoneEra] = [
# 11:00 Russia +11/+12 1991 Mar 31 2:00s
{
'offset_seconds': 39600,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+11/+12',
'until_year': 1991,
'until_month': 3,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 10:00 Russia +10/+11 1992 Jan 19 2:00s
{
'offset_seconds': 36000,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+10/+11',
'until_year': 1992,
'until_month': 1,
'until_day': 19,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 11:00 Russia +11/+12 2011 Mar 27 2:00s
{
'offset_seconds': 39600,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+11/+12',
'until_year': 2011,
'until_month': 3,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 12:00 - +12 2014 Oct 26 2:00s
{
'offset_seconds': 43200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+12',
'until_year': 2014,
'until_month': 10,
'until_day': 26,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 10:00 - +10 2016 Apr 24 2:00s
{
'offset_seconds': 36000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+10',
'until_year': 2016,
'until_month': 4,
'until_day': 24,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 11:00 - +11
{
'offset_seconds': 39600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+11',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Magadan: ZoneInfo = {
'name': 'Asia/Magadan',
'eras': ZONE_ERAS_Asia_Magadan
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Makassar
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Makassar: List[ZoneEra] = [
# 8:00 - WITA
{
'offset_seconds': 28800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'WITA',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Makassar: ZoneInfo = {
'name': 'Asia/Makassar',
'eras': ZONE_ERAS_Asia_Makassar
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Manila
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Manila: List[ZoneEra] = [
# 8:00 Phil P%sT
{
'offset_seconds': 28800,
'zone_policy': ZONE_POLICY_Phil,
'rules_delta_seconds': 0,
'format': 'P%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Manila: ZoneInfo = {
'name': 'Asia/Manila',
'eras': ZONE_ERAS_Asia_Manila
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Nicosia
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Nicosia: List[ZoneEra] = [
# 2:00 Cyprus EE%sT 1998 Sep
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_Cyprus,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 1998,
'until_month': 9,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 2:00 EUAsia EE%sT
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_EUAsia,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Nicosia: ZoneInfo = {
'name': 'Asia/Nicosia',
'eras': ZONE_ERAS_Asia_Nicosia
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Novokuznetsk
# Era count: 5
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Novokuznetsk: List[ZoneEra] = [
# 7:00 Russia +07/+08 1991 Mar 31 2:00s
{
'offset_seconds': 25200,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+07/+08',
'until_year': 1991,
'until_month': 3,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 6:00 Russia +06/+07 1992 Jan 19 2:00s
{
'offset_seconds': 21600,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+06/+07',
'until_year': 1992,
'until_month': 1,
'until_day': 19,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 7:00 Russia +07/+08 2010 Mar 28 2:00s
{
'offset_seconds': 25200,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+07/+08',
'until_year': 2010,
'until_month': 3,
'until_day': 28,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 6:00 Russia +06/+07 2011 Mar 27 2:00s
{
'offset_seconds': 21600,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+06/+07',
'until_year': 2011,
'until_month': 3,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 7:00 - +07
{
'offset_seconds': 25200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+07',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Novokuznetsk: ZoneInfo = {
'name': 'Asia/Novokuznetsk',
'eras': ZONE_ERAS_Asia_Novokuznetsk
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Novosibirsk
# Era count: 7
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Novosibirsk: List[ZoneEra] = [
# 7:00 Russia +07/+08 1991 Mar 31 2:00s
{
'offset_seconds': 25200,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+07/+08',
'until_year': 1991,
'until_month': 3,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 6:00 Russia +06/+07 1992 Jan 19 2:00s
{
'offset_seconds': 21600,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+06/+07',
'until_year': 1992,
'until_month': 1,
'until_day': 19,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 7:00 Russia +07/+08 1993 May 23
{
'offset_seconds': 25200,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+07/+08',
'until_year': 1993,
'until_month': 5,
'until_day': 23,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 6:00 Russia +06/+07 2011 Mar 27 2:00s
{
'offset_seconds': 21600,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+06/+07',
'until_year': 2011,
'until_month': 3,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 7:00 - +07 2014 Oct 26 2:00s
{
'offset_seconds': 25200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+07',
'until_year': 2014,
'until_month': 10,
'until_day': 26,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 6:00 - +06 2016 Jul 24 2:00s
{
'offset_seconds': 21600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+06',
'until_year': 2016,
'until_month': 7,
'until_day': 24,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 7:00 - +07
{
'offset_seconds': 25200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+07',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Novosibirsk: ZoneInfo = {
'name': 'Asia/Novosibirsk',
'eras': ZONE_ERAS_Asia_Novosibirsk
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Omsk
# Era count: 5
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Omsk: List[ZoneEra] = [
# 6:00 Russia +06/+07 1991 Mar 31 2:00s
{
'offset_seconds': 21600,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+06/+07',
'until_year': 1991,
'until_month': 3,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 5:00 Russia +05/+06 1992 Jan 19 2:00s
{
'offset_seconds': 18000,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+05/+06',
'until_year': 1992,
'until_month': 1,
'until_day': 19,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 6:00 Russia +06/+07 2011 Mar 27 2:00s
{
'offset_seconds': 21600,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+06/+07',
'until_year': 2011,
'until_month': 3,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 7:00 - +07 2014 Oct 26 2:00s
{
'offset_seconds': 25200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+07',
'until_year': 2014,
'until_month': 10,
'until_day': 26,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 6:00 - +06
{
'offset_seconds': 21600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+06',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Omsk: ZoneInfo = {
'name': 'Asia/Omsk',
'eras': ZONE_ERAS_Asia_Omsk
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Oral
# Era count: 8
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Oral: List[ZoneEra] = [
# 5:00 - +05 1981 Apr 1
{
'offset_seconds': 18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+05',
'until_year': 1981,
'until_month': 4,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 5:00 1:00 +06 1981 Oct 1
{
'offset_seconds': 18000,
'zone_policy': ':',
'rules_delta_seconds': 3600,
'format': '+06',
'until_year': 1981,
'until_month': 10,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 6:00 - +06 1982 Apr 1
{
'offset_seconds': 21600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+06',
'until_year': 1982,
'until_month': 4,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 5:00 RussiaAsia +05/+06 1989 Mar 26 2:00s
{
'offset_seconds': 18000,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+05/+06',
'until_year': 1989,
'until_month': 3,
'until_day': 26,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 4:00 RussiaAsia +04/+05 1992 Jan 19 2:00s
{
'offset_seconds': 14400,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+04/+05',
'until_year': 1992,
'until_month': 1,
'until_day': 19,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 5:00 RussiaAsia +05/+06 1992 Mar 29 2:00s
{
'offset_seconds': 18000,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+05/+06',
'until_year': 1992,
'until_month': 3,
'until_day': 29,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 4:00 RussiaAsia +04/+05 2004 Oct 31 2:00s
{
'offset_seconds': 14400,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+04/+05',
'until_year': 2004,
'until_month': 10,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 5:00 - +05
{
'offset_seconds': 18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+05',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Oral: ZoneInfo = {
'name': 'Asia/Oral',
'eras': ZONE_ERAS_Asia_Oral
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Pontianak
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Pontianak: List[ZoneEra] = [
# 8:00 - WITA 1988 Jan 1
{
'offset_seconds': 28800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'WITA',
'until_year': 1988,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 7:00 - WIB
{
'offset_seconds': 25200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'WIB',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Pontianak: ZoneInfo = {
'name': 'Asia/Pontianak',
'eras': ZONE_ERAS_Asia_Pontianak
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Pyongyang
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Pyongyang: List[ZoneEra] = [
# 9:00 - KST 2015 Aug 15 00:00
{
'offset_seconds': 32400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'KST',
'until_year': 2015,
'until_month': 8,
'until_day': 15,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 8:30 - KST 2018 May 4 23:30
{
'offset_seconds': 30600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'KST',
'until_year': 2018,
'until_month': 5,
'until_day': 4,
'until_seconds': 84600,
'until_time_suffix': 'w',
},
# 9:00 - KST
{
'offset_seconds': 32400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'KST',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Pyongyang: ZoneInfo = {
'name': 'Asia/Pyongyang',
'eras': ZONE_ERAS_Asia_Pyongyang
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Qatar
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Qatar: List[ZoneEra] = [
# 3:00 - +03
{
'offset_seconds': 10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+03',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Qatar: ZoneInfo = {
'name': 'Asia/Qatar',
'eras': ZONE_ERAS_Asia_Qatar
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Qostanay
# Era count: 7
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Qostanay: List[ZoneEra] = [
# 5:00 - +05 1981 Apr 1
{
'offset_seconds': 18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+05',
'until_year': 1981,
'until_month': 4,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 5:00 1:00 +06 1981 Oct 1
{
'offset_seconds': 18000,
'zone_policy': ':',
'rules_delta_seconds': 3600,
'format': '+06',
'until_year': 1981,
'until_month': 10,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 6:00 - +06 1982 Apr 1
{
'offset_seconds': 21600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+06',
'until_year': 1982,
'until_month': 4,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 5:00 RussiaAsia +05/+06 1991 Mar 31 2:00s
{
'offset_seconds': 18000,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+05/+06',
'until_year': 1991,
'until_month': 3,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 4:00 RussiaAsia +04/+05 1992 Jan 19 2:00s
{
'offset_seconds': 14400,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+04/+05',
'until_year': 1992,
'until_month': 1,
'until_day': 19,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 5:00 RussiaAsia +05/+06 2004 Oct 31 2:00s
{
'offset_seconds': 18000,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+05/+06',
'until_year': 2004,
'until_month': 10,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 6:00 - +06
{
'offset_seconds': 21600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+06',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Qostanay: ZoneInfo = {
'name': 'Asia/Qostanay',
'eras': ZONE_ERAS_Asia_Qostanay
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Qyzylorda
# Era count: 10
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Qyzylorda: List[ZoneEra] = [
# 5:00 - +05 1981 Apr 1
{
'offset_seconds': 18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+05',
'until_year': 1981,
'until_month': 4,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 5:00 1:00 +06 1981 Oct 1
{
'offset_seconds': 18000,
'zone_policy': ':',
'rules_delta_seconds': 3600,
'format': '+06',
'until_year': 1981,
'until_month': 10,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 6:00 - +06 1982 Apr 1
{
'offset_seconds': 21600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+06',
'until_year': 1982,
'until_month': 4,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 5:00 RussiaAsia +05/+06 1991 Mar 31 2:00s
{
'offset_seconds': 18000,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+05/+06',
'until_year': 1991,
'until_month': 3,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 4:00 RussiaAsia +04/+05 1991 Sep 29 2:00s
{
'offset_seconds': 14400,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+04/+05',
'until_year': 1991,
'until_month': 9,
'until_day': 29,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 5:00 RussiaAsia +05/+06 1992 Jan 19 2:00s
{
'offset_seconds': 18000,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+05/+06',
'until_year': 1992,
'until_month': 1,
'until_day': 19,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 6:00 RussiaAsia +06/+07 1992 Mar 29 2:00s
{
'offset_seconds': 21600,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+06/+07',
'until_year': 1992,
'until_month': 3,
'until_day': 29,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 5:00 RussiaAsia +05/+06 2004 Oct 31 2:00s
{
'offset_seconds': 18000,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+05/+06',
'until_year': 2004,
'until_month': 10,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 6:00 - +06 2018 Dec 21 0:00
{
'offset_seconds': 21600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+06',
'until_year': 2018,
'until_month': 12,
'until_day': 21,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 5:00 - +05
{
'offset_seconds': 18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+05',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Qyzylorda: ZoneInfo = {
'name': 'Asia/Qyzylorda',
'eras': ZONE_ERAS_Asia_Qyzylorda
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Riyadh
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Riyadh: List[ZoneEra] = [
# 3:00 - +03
{
'offset_seconds': 10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+03',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Riyadh: ZoneInfo = {
'name': 'Asia/Riyadh',
'eras': ZONE_ERAS_Asia_Riyadh
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Sakhalin
# Era count: 7
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Sakhalin: List[ZoneEra] = [
# 11:00 Russia +11/+12 1991 Mar 31 2:00s
{
'offset_seconds': 39600,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+11/+12',
'until_year': 1991,
'until_month': 3,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 10:00 Russia +10/+11 1992 Jan 19 2:00s
{
'offset_seconds': 36000,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+10/+11',
'until_year': 1992,
'until_month': 1,
'until_day': 19,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 11:00 Russia +11/+12 1997 Mar lastSun 2:00s
{
'offset_seconds': 39600,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+11/+12',
'until_year': 1997,
'until_month': 3,
'until_day': 30,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 10:00 Russia +10/+11 2011 Mar 27 2:00s
{
'offset_seconds': 36000,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+10/+11',
'until_year': 2011,
'until_month': 3,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 11:00 - +11 2014 Oct 26 2:00s
{
'offset_seconds': 39600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+11',
'until_year': 2014,
'until_month': 10,
'until_day': 26,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 10:00 - +10 2016 Mar 27 2:00s
{
'offset_seconds': 36000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+10',
'until_year': 2016,
'until_month': 3,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 11:00 - +11
{
'offset_seconds': 39600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+11',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Sakhalin: ZoneInfo = {
'name': 'Asia/Sakhalin',
'eras': ZONE_ERAS_Asia_Sakhalin
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Samarkand
# Era count: 5
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Samarkand: List[ZoneEra] = [
# 5:00 - +05 1981 Apr 1
{
'offset_seconds': 18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+05',
'until_year': 1981,
'until_month': 4,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 5:00 1:00 +06 1981 Oct 1
{
'offset_seconds': 18000,
'zone_policy': ':',
'rules_delta_seconds': 3600,
'format': '+06',
'until_year': 1981,
'until_month': 10,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 6:00 - +06 1982 Apr 1
{
'offset_seconds': 21600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+06',
'until_year': 1982,
'until_month': 4,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 5:00 RussiaAsia +05/+06 1992
{
'offset_seconds': 18000,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+05/+06',
'until_year': 1992,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 5:00 - +05
{
'offset_seconds': 18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+05',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Samarkand: ZoneInfo = {
'name': 'Asia/Samarkand',
'eras': ZONE_ERAS_Asia_Samarkand
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Seoul
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Seoul: List[ZoneEra] = [
# 9:00 ROK K%sT
{
'offset_seconds': 32400,
'zone_policy': ZONE_POLICY_ROK,
'rules_delta_seconds': 0,
'format': 'K%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Seoul: ZoneInfo = {
'name': 'Asia/Seoul',
'eras': ZONE_ERAS_Asia_Seoul
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Shanghai
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Shanghai: List[ZoneEra] = [
# 8:00 PRC C%sT
{
'offset_seconds': 28800,
'zone_policy': ZONE_POLICY_PRC,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Shanghai: ZoneInfo = {
'name': 'Asia/Shanghai',
'eras': ZONE_ERAS_Asia_Shanghai
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Singapore
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Singapore: List[ZoneEra] = [
# 7:30 - +0730 1982 Jan 1
{
'offset_seconds': 27000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+0730',
'until_year': 1982,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 8:00 - +08
{
'offset_seconds': 28800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+08',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Singapore: ZoneInfo = {
'name': 'Asia/Singapore',
'eras': ZONE_ERAS_Asia_Singapore
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Srednekolymsk
# Era count: 5
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Srednekolymsk: List[ZoneEra] = [
# 11:00 Russia +11/+12 1991 Mar 31 2:00s
{
'offset_seconds': 39600,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+11/+12',
'until_year': 1991,
'until_month': 3,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 10:00 Russia +10/+11 1992 Jan 19 2:00s
{
'offset_seconds': 36000,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+10/+11',
'until_year': 1992,
'until_month': 1,
'until_day': 19,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 11:00 Russia +11/+12 2011 Mar 27 2:00s
{
'offset_seconds': 39600,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+11/+12',
'until_year': 2011,
'until_month': 3,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 12:00 - +12 2014 Oct 26 2:00s
{
'offset_seconds': 43200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+12',
'until_year': 2014,
'until_month': 10,
'until_day': 26,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 11:00 - +11
{
'offset_seconds': 39600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+11',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Srednekolymsk: ZoneInfo = {
'name': 'Asia/Srednekolymsk',
'eras': ZONE_ERAS_Asia_Srednekolymsk
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Taipei
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Taipei: List[ZoneEra] = [
# 8:00 Taiwan C%sT
{
'offset_seconds': 28800,
'zone_policy': ZONE_POLICY_Taiwan,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Taipei: ZoneInfo = {
'name': 'Asia/Taipei',
'eras': ZONE_ERAS_Asia_Taipei
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Tashkent
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Tashkent: List[ZoneEra] = [
# 6:00 RussiaAsia +06/+07 1991 Mar 31 2:00
{
'offset_seconds': 21600,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+06/+07',
'until_year': 1991,
'until_month': 3,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# 5:00 RussiaAsia +05/+06 1992
{
'offset_seconds': 18000,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+05/+06',
'until_year': 1992,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 5:00 - +05
{
'offset_seconds': 18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+05',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Tashkent: ZoneInfo = {
'name': 'Asia/Tashkent',
'eras': ZONE_ERAS_Asia_Tashkent
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Tbilisi
# Era count: 8
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Tbilisi: List[ZoneEra] = [
# 4:00 RussiaAsia +04/+05 1991 Mar 31 2:00s
{
'offset_seconds': 14400,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+04/+05',
'until_year': 1991,
'until_month': 3,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 3:00 RussiaAsia +03/+04 1992
{
'offset_seconds': 10800,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+03/+04',
'until_year': 1992,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 3:00 E-EurAsia +03/+04 1994 Sep lastSun
{
'offset_seconds': 10800,
'zone_policy': ZONE_POLICY_E_EurAsia,
'rules_delta_seconds': 0,
'format': '+03/+04',
'until_year': 1994,
'until_month': 9,
'until_day': 25,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 4:00 E-EurAsia +04/+05 1996 Oct lastSun
{
'offset_seconds': 14400,
'zone_policy': ZONE_POLICY_E_EurAsia,
'rules_delta_seconds': 0,
'format': '+04/+05',
'until_year': 1996,
'until_month': 10,
'until_day': 27,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 4:00 1:00 +05 1997 Mar lastSun
{
'offset_seconds': 14400,
'zone_policy': ':',
'rules_delta_seconds': 3600,
'format': '+05',
'until_year': 1997,
'until_month': 3,
'until_day': 30,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 4:00 E-EurAsia +04/+05 2004 Jun 27
{
'offset_seconds': 14400,
'zone_policy': ZONE_POLICY_E_EurAsia,
'rules_delta_seconds': 0,
'format': '+04/+05',
'until_year': 2004,
'until_month': 6,
'until_day': 27,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 3:00 RussiaAsia +03/+04 2005 Mar lastSun 2:00
{
'offset_seconds': 10800,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+03/+04',
'until_year': 2005,
'until_month': 3,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# 4:00 - +04
{
'offset_seconds': 14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+04',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Tbilisi: ZoneInfo = {
'name': 'Asia/Tbilisi',
'eras': ZONE_ERAS_Asia_Tbilisi
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Tehran
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Tehran: List[ZoneEra] = [
# 3:30 - +0330 1977 Nov
{
'offset_seconds': 12600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+0330',
'until_year': 1977,
'until_month': 11,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 4:00 Iran +04/+05 1979
{
'offset_seconds': 14400,
'zone_policy': ZONE_POLICY_Iran,
'rules_delta_seconds': 0,
'format': '+04/+05',
'until_year': 1979,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 3:30 Iran +0330/+0430
{
'offset_seconds': 12600,
'zone_policy': ZONE_POLICY_Iran,
'rules_delta_seconds': 0,
'format': '+0330/+0430',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Tehran: ZoneInfo = {
'name': 'Asia/Tehran',
'eras': ZONE_ERAS_Asia_Tehran
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Thimphu
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Thimphu: List[ZoneEra] = [
# 5:30 - +0530 1987 Oct
{
'offset_seconds': 19800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+0530',
'until_year': 1987,
'until_month': 10,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 6:00 - +06
{
'offset_seconds': 21600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+06',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Thimphu: ZoneInfo = {
'name': 'Asia/Thimphu',
'eras': ZONE_ERAS_Asia_Thimphu
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Tokyo
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Tokyo: List[ZoneEra] = [
# 9:00 Japan J%sT
{
'offset_seconds': 32400,
'zone_policy': ZONE_POLICY_Japan,
'rules_delta_seconds': 0,
'format': 'J%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Tokyo: ZoneInfo = {
'name': 'Asia/Tokyo',
'eras': ZONE_ERAS_Asia_Tokyo
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Tomsk
# Era count: 7
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Tomsk: List[ZoneEra] = [
# 7:00 Russia +07/+08 1991 Mar 31 2:00s
{
'offset_seconds': 25200,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+07/+08',
'until_year': 1991,
'until_month': 3,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 6:00 Russia +06/+07 1992 Jan 19 2:00s
{
'offset_seconds': 21600,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+06/+07',
'until_year': 1992,
'until_month': 1,
'until_day': 19,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 7:00 Russia +07/+08 2002 May 1 3:00
{
'offset_seconds': 25200,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+07/+08',
'until_year': 2002,
'until_month': 5,
'until_day': 1,
'until_seconds': 10800,
'until_time_suffix': 'w',
},
# 6:00 Russia +06/+07 2011 Mar 27 2:00s
{
'offset_seconds': 21600,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+06/+07',
'until_year': 2011,
'until_month': 3,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 7:00 - +07 2014 Oct 26 2:00s
{
'offset_seconds': 25200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+07',
'until_year': 2014,
'until_month': 10,
'until_day': 26,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 6:00 - +06 2016 May 29 2:00s
{
'offset_seconds': 21600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+06',
'until_year': 2016,
'until_month': 5,
'until_day': 29,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 7:00 - +07
{
'offset_seconds': 25200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+07',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Tomsk: ZoneInfo = {
'name': 'Asia/Tomsk',
'eras': ZONE_ERAS_Asia_Tomsk
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Ulaanbaatar
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Ulaanbaatar: List[ZoneEra] = [
# 7:00 - +07 1978
{
'offset_seconds': 25200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+07',
'until_year': 1978,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 8:00 Mongol +08/+09
{
'offset_seconds': 28800,
'zone_policy': ZONE_POLICY_Mongol,
'rules_delta_seconds': 0,
'format': '+08/+09',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Ulaanbaatar: ZoneInfo = {
'name': 'Asia/Ulaanbaatar',
'eras': ZONE_ERAS_Asia_Ulaanbaatar
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Urumqi
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Urumqi: List[ZoneEra] = [
# 6:00 - +06
{
'offset_seconds': 21600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+06',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Urumqi: ZoneInfo = {
'name': 'Asia/Urumqi',
'eras': ZONE_ERAS_Asia_Urumqi
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Ust-Nera
# Era count: 7
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Ust_Nera: List[ZoneEra] = [
# 9:00 Russia +09/+10 1981 Apr 1
{
'offset_seconds': 32400,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+09/+10',
'until_year': 1981,
'until_month': 4,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 11:00 Russia +11/+12 1991 Mar 31 2:00s
{
'offset_seconds': 39600,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+11/+12',
'until_year': 1991,
'until_month': 3,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 10:00 Russia +10/+11 1992 Jan 19 2:00s
{
'offset_seconds': 36000,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+10/+11',
'until_year': 1992,
'until_month': 1,
'until_day': 19,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 11:00 Russia +11/+12 2011 Mar 27 2:00s
{
'offset_seconds': 39600,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+11/+12',
'until_year': 2011,
'until_month': 3,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 12:00 - +12 2011 Sep 13 0:00s
{
'offset_seconds': 43200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+12',
'until_year': 2011,
'until_month': 9,
'until_day': 13,
'until_seconds': 0,
'until_time_suffix': 's',
},
# 11:00 - +11 2014 Oct 26 2:00s
{
'offset_seconds': 39600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+11',
'until_year': 2014,
'until_month': 10,
'until_day': 26,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 10:00 - +10
{
'offset_seconds': 36000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+10',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Ust_Nera: ZoneInfo = {
'name': 'Asia/Ust-Nera',
'eras': ZONE_ERAS_Asia_Ust_Nera
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Vladivostok
# Era count: 5
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Vladivostok: List[ZoneEra] = [
# 10:00 Russia +10/+11 1991 Mar 31 2:00s
{
'offset_seconds': 36000,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+10/+11',
'until_year': 1991,
'until_month': 3,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 9:00 Russia +09/+10 1992 Jan 19 2:00s
{
'offset_seconds': 32400,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+09/+10',
'until_year': 1992,
'until_month': 1,
'until_day': 19,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 10:00 Russia +10/+11 2011 Mar 27 2:00s
{
'offset_seconds': 36000,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+10/+11',
'until_year': 2011,
'until_month': 3,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 11:00 - +11 2014 Oct 26 2:00s
{
'offset_seconds': 39600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+11',
'until_year': 2014,
'until_month': 10,
'until_day': 26,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 10:00 - +10
{
'offset_seconds': 36000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+10',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Vladivostok: ZoneInfo = {
'name': 'Asia/Vladivostok',
'eras': ZONE_ERAS_Asia_Vladivostok
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Yakutsk
# Era count: 5
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Yakutsk: List[ZoneEra] = [
# 9:00 Russia +09/+10 1991 Mar 31 2:00s
{
'offset_seconds': 32400,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+09/+10',
'until_year': 1991,
'until_month': 3,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 8:00 Russia +08/+09 1992 Jan 19 2:00s
{
'offset_seconds': 28800,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+08/+09',
'until_year': 1992,
'until_month': 1,
'until_day': 19,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 9:00 Russia +09/+10 2011 Mar 27 2:00s
{
'offset_seconds': 32400,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+09/+10',
'until_year': 2011,
'until_month': 3,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 10:00 - +10 2014 Oct 26 2:00s
{
'offset_seconds': 36000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+10',
'until_year': 2014,
'until_month': 10,
'until_day': 26,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 9:00 - +09
{
'offset_seconds': 32400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+09',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Yakutsk: ZoneInfo = {
'name': 'Asia/Yakutsk',
'eras': ZONE_ERAS_Asia_Yakutsk
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Yangon
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Yangon: List[ZoneEra] = [
# 6:30 - +0630
{
'offset_seconds': 23400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+0630',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Yangon: ZoneInfo = {
'name': 'Asia/Yangon',
'eras': ZONE_ERAS_Asia_Yangon
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Yekaterinburg
# Era count: 5
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Yekaterinburg: List[ZoneEra] = [
# 5:00 Russia +05/+06 1991 Mar 31 2:00s
{
'offset_seconds': 18000,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+05/+06',
'until_year': 1991,
'until_month': 3,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 4:00 Russia +04/+05 1992 Jan 19 2:00s
{
'offset_seconds': 14400,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+04/+05',
'until_year': 1992,
'until_month': 1,
'until_day': 19,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 5:00 Russia +05/+06 2011 Mar 27 2:00s
{
'offset_seconds': 18000,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+05/+06',
'until_year': 2011,
'until_month': 3,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 6:00 - +06 2014 Oct 26 2:00s
{
'offset_seconds': 21600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+06',
'until_year': 2014,
'until_month': 10,
'until_day': 26,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 5:00 - +05
{
'offset_seconds': 18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+05',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Yekaterinburg: ZoneInfo = {
'name': 'Asia/Yekaterinburg',
'eras': ZONE_ERAS_Asia_Yekaterinburg
}
# ---------------------------------------------------------------------------
# Zone name: Asia/Yerevan
# Era count: 5
# ---------------------------------------------------------------------------
ZONE_ERAS_Asia_Yerevan: List[ZoneEra] = [
# 4:00 RussiaAsia +04/+05 1991 Mar 31 2:00s
{
'offset_seconds': 14400,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+04/+05',
'until_year': 1991,
'until_month': 3,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 3:00 RussiaAsia +03/+04 1995 Sep 24 2:00s
{
'offset_seconds': 10800,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+03/+04',
'until_year': 1995,
'until_month': 9,
'until_day': 24,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 4:00 - +04 1997
{
'offset_seconds': 14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+04',
'until_year': 1997,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 4:00 RussiaAsia +04/+05 2011
{
'offset_seconds': 14400,
'zone_policy': ZONE_POLICY_RussiaAsia,
'rules_delta_seconds': 0,
'format': '+04/+05',
'until_year': 2011,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 4:00 Armenia +04/+05
{
'offset_seconds': 14400,
'zone_policy': ZONE_POLICY_Armenia,
'rules_delta_seconds': 0,
'format': '+04/+05',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Asia_Yerevan: ZoneInfo = {
'name': 'Asia/Yerevan',
'eras': ZONE_ERAS_Asia_Yerevan
}
# ---------------------------------------------------------------------------
# Zone name: Atlantic/Azores
# Era count: 4
# ---------------------------------------------------------------------------
ZONE_ERAS_Atlantic_Azores: List[ZoneEra] = [
# -1:00 Port -01/+00 1983 Sep 25 1:00s
{
'offset_seconds': -3600,
'zone_policy': ZONE_POLICY_Port,
'rules_delta_seconds': 0,
'format': '-01/+00',
'until_year': 1983,
'until_month': 9,
'until_day': 25,
'until_seconds': 3600,
'until_time_suffix': 's',
},
# -1:00 W-Eur -01/+00 1992 Sep 27 1:00s
{
'offset_seconds': -3600,
'zone_policy': ZONE_POLICY_W_Eur,
'rules_delta_seconds': 0,
'format': '-01/+00',
'until_year': 1992,
'until_month': 9,
'until_day': 27,
'until_seconds': 3600,
'until_time_suffix': 's',
},
# 0:00 EU WE%sT 1993 Mar 28 1:00u
{
'offset_seconds': 0,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'WE%sT',
'until_year': 1993,
'until_month': 3,
'until_day': 28,
'until_seconds': 3600,
'until_time_suffix': 'u',
},
# -1:00 EU -01/+00
{
'offset_seconds': -3600,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': '-01/+00',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Atlantic_Azores: ZoneInfo = {
'name': 'Atlantic/Azores',
'eras': ZONE_ERAS_Atlantic_Azores
}
# ---------------------------------------------------------------------------
# Zone name: Atlantic/Bermuda
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_Atlantic_Bermuda: List[ZoneEra] = [
# -4:00 Bermuda A%sT 1974 Apr 28 2:00
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_Bermuda,
'rules_delta_seconds': 0,
'format': 'A%sT',
'until_year': 1974,
'until_month': 4,
'until_day': 28,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -4:00 Canada A%sT 1976
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_Canada,
'rules_delta_seconds': 0,
'format': 'A%sT',
'until_year': 1976,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 US A%sT
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'A%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Atlantic_Bermuda: ZoneInfo = {
'name': 'Atlantic/Bermuda',
'eras': ZONE_ERAS_Atlantic_Bermuda
}
# ---------------------------------------------------------------------------
# Zone name: Atlantic/Canary
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_Atlantic_Canary: List[ZoneEra] = [
# 0:00 - WET 1980 Apr 6 0:00s
{
'offset_seconds': 0,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'WET',
'until_year': 1980,
'until_month': 4,
'until_day': 6,
'until_seconds': 0,
'until_time_suffix': 's',
},
# 0:00 1:00 WEST 1980 Sep 28 1:00u
{
'offset_seconds': 0,
'zone_policy': ':',
'rules_delta_seconds': 3600,
'format': 'WEST',
'until_year': 1980,
'until_month': 9,
'until_day': 28,
'until_seconds': 3600,
'until_time_suffix': 'u',
},
# 0:00 EU WE%sT
{
'offset_seconds': 0,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'WE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Atlantic_Canary: ZoneInfo = {
'name': 'Atlantic/Canary',
'eras': ZONE_ERAS_Atlantic_Canary
}
# ---------------------------------------------------------------------------
# Zone name: Atlantic/Cape_Verde
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Atlantic_Cape_Verde: List[ZoneEra] = [
# -2:00 - -02 1975 Nov 25 2:00
{
'offset_seconds': -7200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-02',
'until_year': 1975,
'until_month': 11,
'until_day': 25,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -1:00 - -01
{
'offset_seconds': -3600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-01',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Atlantic_Cape_Verde: ZoneInfo = {
'name': 'Atlantic/Cape_Verde',
'eras': ZONE_ERAS_Atlantic_Cape_Verde
}
# ---------------------------------------------------------------------------
# Zone name: Atlantic/Faroe
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Atlantic_Faroe: List[ZoneEra] = [
# 0:00 - WET 1981
{
'offset_seconds': 0,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'WET',
'until_year': 1981,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 0:00 EU WE%sT
{
'offset_seconds': 0,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'WE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Atlantic_Faroe: ZoneInfo = {
'name': 'Atlantic/Faroe',
'eras': ZONE_ERAS_Atlantic_Faroe
}
# ---------------------------------------------------------------------------
# Zone name: Atlantic/Madeira
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Atlantic_Madeira: List[ZoneEra] = [
# 0:00 Port WE%sT 1983 Sep 25 1:00s
{
'offset_seconds': 0,
'zone_policy': ZONE_POLICY_Port,
'rules_delta_seconds': 0,
'format': 'WE%sT',
'until_year': 1983,
'until_month': 9,
'until_day': 25,
'until_seconds': 3600,
'until_time_suffix': 's',
},
# 0:00 EU WE%sT
{
'offset_seconds': 0,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'WE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Atlantic_Madeira: ZoneInfo = {
'name': 'Atlantic/Madeira',
'eras': ZONE_ERAS_Atlantic_Madeira
}
# ---------------------------------------------------------------------------
# Zone name: Atlantic/Reykjavik
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Atlantic_Reykjavik: List[ZoneEra] = [
# 0:00 - GMT
{
'offset_seconds': 0,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'GMT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Atlantic_Reykjavik: ZoneInfo = {
'name': 'Atlantic/Reykjavik',
'eras': ZONE_ERAS_Atlantic_Reykjavik
}
# ---------------------------------------------------------------------------
# Zone name: Atlantic/South_Georgia
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Atlantic_South_Georgia: List[ZoneEra] = [
# -2:00 - -02
{
'offset_seconds': -7200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-02',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Atlantic_South_Georgia: ZoneInfo = {
'name': 'Atlantic/South_Georgia',
'eras': ZONE_ERAS_Atlantic_South_Georgia
}
# ---------------------------------------------------------------------------
# Zone name: Atlantic/Stanley
# Era count: 4
# ---------------------------------------------------------------------------
ZONE_ERAS_Atlantic_Stanley: List[ZoneEra] = [
# -4:00 Falk -04/-03 1983 May
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_Falk,
'rules_delta_seconds': 0,
'format': '-04/-03',
'until_year': 1983,
'until_month': 5,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -3:00 Falk -03/-02 1985 Sep 15
{
'offset_seconds': -10800,
'zone_policy': ZONE_POLICY_Falk,
'rules_delta_seconds': 0,
'format': '-03/-02',
'until_year': 1985,
'until_month': 9,
'until_day': 15,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -4:00 Falk -04/-03 2010 Sep 5 2:00
{
'offset_seconds': -14400,
'zone_policy': ZONE_POLICY_Falk,
'rules_delta_seconds': 0,
'format': '-04/-03',
'until_year': 2010,
'until_month': 9,
'until_day': 5,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# -3:00 - -03
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Atlantic_Stanley: ZoneInfo = {
'name': 'Atlantic/Stanley',
'eras': ZONE_ERAS_Atlantic_Stanley
}
# ---------------------------------------------------------------------------
# Zone name: Australia/Adelaide
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Australia_Adelaide: List[ZoneEra] = [
# 9:30 AS AC%sT
{
'offset_seconds': 34200,
'zone_policy': ZONE_POLICY_AS,
'rules_delta_seconds': 0,
'format': 'AC%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Australia_Adelaide: ZoneInfo = {
'name': 'Australia/Adelaide',
'eras': ZONE_ERAS_Australia_Adelaide
}
# ---------------------------------------------------------------------------
# Zone name: Australia/Brisbane
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Australia_Brisbane: List[ZoneEra] = [
# 10:00 AQ AE%sT
{
'offset_seconds': 36000,
'zone_policy': ZONE_POLICY_AQ,
'rules_delta_seconds': 0,
'format': 'AE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Australia_Brisbane: ZoneInfo = {
'name': 'Australia/Brisbane',
'eras': ZONE_ERAS_Australia_Brisbane
}
# ---------------------------------------------------------------------------
# Zone name: Australia/Broken_Hill
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Australia_Broken_Hill: List[ZoneEra] = [
# 9:30 AN AC%sT 2000
{
'offset_seconds': 34200,
'zone_policy': ZONE_POLICY_AN,
'rules_delta_seconds': 0,
'format': 'AC%sT',
'until_year': 2000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 9:30 AS AC%sT
{
'offset_seconds': 34200,
'zone_policy': ZONE_POLICY_AS,
'rules_delta_seconds': 0,
'format': 'AC%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Australia_Broken_Hill: ZoneInfo = {
'name': 'Australia/Broken_Hill',
'eras': ZONE_ERAS_Australia_Broken_Hill
}
# ---------------------------------------------------------------------------
# Zone name: Australia/Darwin
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Australia_Darwin: List[ZoneEra] = [
# 9:30 Aus AC%sT
{
'offset_seconds': 34200,
'zone_policy': ZONE_POLICY_Aus,
'rules_delta_seconds': 0,
'format': 'AC%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Australia_Darwin: ZoneInfo = {
'name': 'Australia/Darwin',
'eras': ZONE_ERAS_Australia_Darwin
}
# ---------------------------------------------------------------------------
# Zone name: Australia/Eucla
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Australia_Eucla: List[ZoneEra] = [
# 8:45 AW +0845/+0945
{
'offset_seconds': 31500,
'zone_policy': ZONE_POLICY_AW,
'rules_delta_seconds': 0,
'format': '+0845/+0945',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Australia_Eucla: ZoneInfo = {
'name': 'Australia/Eucla',
'eras': ZONE_ERAS_Australia_Eucla
}
# ---------------------------------------------------------------------------
# Zone name: Australia/Hobart
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Australia_Hobart: List[ZoneEra] = [
# 10:00 AT AE%sT
{
'offset_seconds': 36000,
'zone_policy': ZONE_POLICY_AT,
'rules_delta_seconds': 0,
'format': 'AE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Australia_Hobart: ZoneInfo = {
'name': 'Australia/Hobart',
'eras': ZONE_ERAS_Australia_Hobart
}
# ---------------------------------------------------------------------------
# Zone name: Australia/Lindeman
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Australia_Lindeman: List[ZoneEra] = [
# 10:00 AQ AE%sT 1992 Jul
{
'offset_seconds': 36000,
'zone_policy': ZONE_POLICY_AQ,
'rules_delta_seconds': 0,
'format': 'AE%sT',
'until_year': 1992,
'until_month': 7,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 10:00 Holiday AE%sT
{
'offset_seconds': 36000,
'zone_policy': ZONE_POLICY_Holiday,
'rules_delta_seconds': 0,
'format': 'AE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Australia_Lindeman: ZoneInfo = {
'name': 'Australia/Lindeman',
'eras': ZONE_ERAS_Australia_Lindeman
}
# ---------------------------------------------------------------------------
# Zone name: Australia/Lord_Howe
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_Australia_Lord_Howe: List[ZoneEra] = [
# 10:00 - AEST 1981 Mar
{
'offset_seconds': 36000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'AEST',
'until_year': 1981,
'until_month': 3,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 10:30 LH +1030/+1130 1985 Jul
{
'offset_seconds': 37800,
'zone_policy': ZONE_POLICY_LH,
'rules_delta_seconds': 0,
'format': '+1030/+1130',
'until_year': 1985,
'until_month': 7,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 10:30 LH +1030/+11
{
'offset_seconds': 37800,
'zone_policy': ZONE_POLICY_LH,
'rules_delta_seconds': 0,
'format': '+1030/+11',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Australia_Lord_Howe: ZoneInfo = {
'name': 'Australia/Lord_Howe',
'eras': ZONE_ERAS_Australia_Lord_Howe
}
# ---------------------------------------------------------------------------
# Zone name: Australia/Melbourne
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Australia_Melbourne: List[ZoneEra] = [
# 10:00 AV AE%sT
{
'offset_seconds': 36000,
'zone_policy': ZONE_POLICY_AV,
'rules_delta_seconds': 0,
'format': 'AE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Australia_Melbourne: ZoneInfo = {
'name': 'Australia/Melbourne',
'eras': ZONE_ERAS_Australia_Melbourne
}
# ---------------------------------------------------------------------------
# Zone name: Australia/Perth
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Australia_Perth: List[ZoneEra] = [
# 8:00 AW AW%sT
{
'offset_seconds': 28800,
'zone_policy': ZONE_POLICY_AW,
'rules_delta_seconds': 0,
'format': 'AW%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Australia_Perth: ZoneInfo = {
'name': 'Australia/Perth',
'eras': ZONE_ERAS_Australia_Perth
}
# ---------------------------------------------------------------------------
# Zone name: Australia/Sydney
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Australia_Sydney: List[ZoneEra] = [
# 10:00 AN AE%sT
{
'offset_seconds': 36000,
'zone_policy': ZONE_POLICY_AN,
'rules_delta_seconds': 0,
'format': 'AE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Australia_Sydney: ZoneInfo = {
'name': 'Australia/Sydney',
'eras': ZONE_ERAS_Australia_Sydney
}
# ---------------------------------------------------------------------------
# Zone name: CET
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_CET: List[ZoneEra] = [
# 1:00 C-Eur CE%sT
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_C_Eur,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_CET: ZoneInfo = {
'name': 'CET',
'eras': ZONE_ERAS_CET
}
# ---------------------------------------------------------------------------
# Zone name: CST6CDT
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_CST6CDT: List[ZoneEra] = [
# -6:00 US C%sT
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'C%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_CST6CDT: ZoneInfo = {
'name': 'CST6CDT',
'eras': ZONE_ERAS_CST6CDT
}
# ---------------------------------------------------------------------------
# Zone name: EET
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_EET: List[ZoneEra] = [
# 2:00 EU EE%sT
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_EET: ZoneInfo = {
'name': 'EET',
'eras': ZONE_ERAS_EET
}
# ---------------------------------------------------------------------------
# Zone name: EST
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_EST: List[ZoneEra] = [
# -5:00 - EST
{
'offset_seconds': -18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EST',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_EST: ZoneInfo = {
'name': 'EST',
'eras': ZONE_ERAS_EST
}
# ---------------------------------------------------------------------------
# Zone name: EST5EDT
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_EST5EDT: List[ZoneEra] = [
# -5:00 US E%sT
{
'offset_seconds': -18000,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'E%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_EST5EDT: ZoneInfo = {
'name': 'EST5EDT',
'eras': ZONE_ERAS_EST5EDT
}
# ---------------------------------------------------------------------------
# Zone name: Etc/GMT
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Etc_GMT: List[ZoneEra] = [
# 0 - GMT
{
'offset_seconds': 0,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'GMT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Etc_GMT: ZoneInfo = {
'name': 'Etc/GMT',
'eras': ZONE_ERAS_Etc_GMT
}
# ---------------------------------------------------------------------------
# Zone name: Etc/GMT+1
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Etc_GMT_PLUS_1: List[ZoneEra] = [
# -1 - -01
{
'offset_seconds': -3600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-01',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Etc_GMT_PLUS_1: ZoneInfo = {
'name': 'Etc/GMT+1',
'eras': ZONE_ERAS_Etc_GMT_PLUS_1
}
# ---------------------------------------------------------------------------
# Zone name: Etc/GMT+10
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Etc_GMT_PLUS_10: List[ZoneEra] = [
# -10 - -10
{
'offset_seconds': -36000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-10',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Etc_GMT_PLUS_10: ZoneInfo = {
'name': 'Etc/GMT+10',
'eras': ZONE_ERAS_Etc_GMT_PLUS_10
}
# ---------------------------------------------------------------------------
# Zone name: Etc/GMT+11
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Etc_GMT_PLUS_11: List[ZoneEra] = [
# -11 - -11
{
'offset_seconds': -39600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-11',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Etc_GMT_PLUS_11: ZoneInfo = {
'name': 'Etc/GMT+11',
'eras': ZONE_ERAS_Etc_GMT_PLUS_11
}
# ---------------------------------------------------------------------------
# Zone name: Etc/GMT+12
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Etc_GMT_PLUS_12: List[ZoneEra] = [
# -12 - -12
{
'offset_seconds': -43200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-12',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Etc_GMT_PLUS_12: ZoneInfo = {
'name': 'Etc/GMT+12',
'eras': ZONE_ERAS_Etc_GMT_PLUS_12
}
# ---------------------------------------------------------------------------
# Zone name: Etc/GMT+2
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Etc_GMT_PLUS_2: List[ZoneEra] = [
# -2 - -02
{
'offset_seconds': -7200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-02',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Etc_GMT_PLUS_2: ZoneInfo = {
'name': 'Etc/GMT+2',
'eras': ZONE_ERAS_Etc_GMT_PLUS_2
}
# ---------------------------------------------------------------------------
# Zone name: Etc/GMT+3
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Etc_GMT_PLUS_3: List[ZoneEra] = [
# -3 - -03
{
'offset_seconds': -10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-03',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Etc_GMT_PLUS_3: ZoneInfo = {
'name': 'Etc/GMT+3',
'eras': ZONE_ERAS_Etc_GMT_PLUS_3
}
# ---------------------------------------------------------------------------
# Zone name: Etc/GMT+4
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Etc_GMT_PLUS_4: List[ZoneEra] = [
# -4 - -04
{
'offset_seconds': -14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-04',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Etc_GMT_PLUS_4: ZoneInfo = {
'name': 'Etc/GMT+4',
'eras': ZONE_ERAS_Etc_GMT_PLUS_4
}
# ---------------------------------------------------------------------------
# Zone name: Etc/GMT+5
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Etc_GMT_PLUS_5: List[ZoneEra] = [
# -5 - -05
{
'offset_seconds': -18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-05',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Etc_GMT_PLUS_5: ZoneInfo = {
'name': 'Etc/GMT+5',
'eras': ZONE_ERAS_Etc_GMT_PLUS_5
}
# ---------------------------------------------------------------------------
# Zone name: Etc/GMT+6
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Etc_GMT_PLUS_6: List[ZoneEra] = [
# -6 - -06
{
'offset_seconds': -21600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-06',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Etc_GMT_PLUS_6: ZoneInfo = {
'name': 'Etc/GMT+6',
'eras': ZONE_ERAS_Etc_GMT_PLUS_6
}
# ---------------------------------------------------------------------------
# Zone name: Etc/GMT+7
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Etc_GMT_PLUS_7: List[ZoneEra] = [
# -7 - -07
{
'offset_seconds': -25200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-07',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Etc_GMT_PLUS_7: ZoneInfo = {
'name': 'Etc/GMT+7',
'eras': ZONE_ERAS_Etc_GMT_PLUS_7
}
# ---------------------------------------------------------------------------
# Zone name: Etc/GMT+8
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Etc_GMT_PLUS_8: List[ZoneEra] = [
# -8 - -08
{
'offset_seconds': -28800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-08',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Etc_GMT_PLUS_8: ZoneInfo = {
'name': 'Etc/GMT+8',
'eras': ZONE_ERAS_Etc_GMT_PLUS_8
}
# ---------------------------------------------------------------------------
# Zone name: Etc/GMT+9
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Etc_GMT_PLUS_9: List[ZoneEra] = [
# -9 - -09
{
'offset_seconds': -32400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-09',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Etc_GMT_PLUS_9: ZoneInfo = {
'name': 'Etc/GMT+9',
'eras': ZONE_ERAS_Etc_GMT_PLUS_9
}
# ---------------------------------------------------------------------------
# Zone name: Etc/GMT-1
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Etc_GMT_1: List[ZoneEra] = [
# 1 - +01
{
'offset_seconds': 3600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+01',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Etc_GMT_1: ZoneInfo = {
'name': 'Etc/GMT-1',
'eras': ZONE_ERAS_Etc_GMT_1
}
# ---------------------------------------------------------------------------
# Zone name: Etc/GMT-10
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Etc_GMT_10: List[ZoneEra] = [
# 10 - +10
{
'offset_seconds': 36000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+10',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Etc_GMT_10: ZoneInfo = {
'name': 'Etc/GMT-10',
'eras': ZONE_ERAS_Etc_GMT_10
}
# ---------------------------------------------------------------------------
# Zone name: Etc/GMT-11
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Etc_GMT_11: List[ZoneEra] = [
# 11 - +11
{
'offset_seconds': 39600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+11',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Etc_GMT_11: ZoneInfo = {
'name': 'Etc/GMT-11',
'eras': ZONE_ERAS_Etc_GMT_11
}
# ---------------------------------------------------------------------------
# Zone name: Etc/GMT-12
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Etc_GMT_12: List[ZoneEra] = [
# 12 - +12
{
'offset_seconds': 43200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+12',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Etc_GMT_12: ZoneInfo = {
'name': 'Etc/GMT-12',
'eras': ZONE_ERAS_Etc_GMT_12
}
# ---------------------------------------------------------------------------
# Zone name: Etc/GMT-13
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Etc_GMT_13: List[ZoneEra] = [
# 13 - +13
{
'offset_seconds': 46800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+13',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Etc_GMT_13: ZoneInfo = {
'name': 'Etc/GMT-13',
'eras': ZONE_ERAS_Etc_GMT_13
}
# ---------------------------------------------------------------------------
# Zone name: Etc/GMT-14
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Etc_GMT_14: List[ZoneEra] = [
# 14 - +14
{
'offset_seconds': 50400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+14',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Etc_GMT_14: ZoneInfo = {
'name': 'Etc/GMT-14',
'eras': ZONE_ERAS_Etc_GMT_14
}
# ---------------------------------------------------------------------------
# Zone name: Etc/GMT-2
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Etc_GMT_2: List[ZoneEra] = [
# 2 - +02
{
'offset_seconds': 7200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+02',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Etc_GMT_2: ZoneInfo = {
'name': 'Etc/GMT-2',
'eras': ZONE_ERAS_Etc_GMT_2
}
# ---------------------------------------------------------------------------
# Zone name: Etc/GMT-3
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Etc_GMT_3: List[ZoneEra] = [
# 3 - +03
{
'offset_seconds': 10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+03',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Etc_GMT_3: ZoneInfo = {
'name': 'Etc/GMT-3',
'eras': ZONE_ERAS_Etc_GMT_3
}
# ---------------------------------------------------------------------------
# Zone name: Etc/GMT-4
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Etc_GMT_4: List[ZoneEra] = [
# 4 - +04
{
'offset_seconds': 14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+04',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Etc_GMT_4: ZoneInfo = {
'name': 'Etc/GMT-4',
'eras': ZONE_ERAS_Etc_GMT_4
}
# ---------------------------------------------------------------------------
# Zone name: Etc/GMT-5
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Etc_GMT_5: List[ZoneEra] = [
# 5 - +05
{
'offset_seconds': 18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+05',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Etc_GMT_5: ZoneInfo = {
'name': 'Etc/GMT-5',
'eras': ZONE_ERAS_Etc_GMT_5
}
# ---------------------------------------------------------------------------
# Zone name: Etc/GMT-6
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Etc_GMT_6: List[ZoneEra] = [
# 6 - +06
{
'offset_seconds': 21600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+06',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Etc_GMT_6: ZoneInfo = {
'name': 'Etc/GMT-6',
'eras': ZONE_ERAS_Etc_GMT_6
}
# ---------------------------------------------------------------------------
# Zone name: Etc/GMT-7
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Etc_GMT_7: List[ZoneEra] = [
# 7 - +07
{
'offset_seconds': 25200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+07',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Etc_GMT_7: ZoneInfo = {
'name': 'Etc/GMT-7',
'eras': ZONE_ERAS_Etc_GMT_7
}
# ---------------------------------------------------------------------------
# Zone name: Etc/GMT-8
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Etc_GMT_8: List[ZoneEra] = [
# 8 - +08
{
'offset_seconds': 28800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+08',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Etc_GMT_8: ZoneInfo = {
'name': 'Etc/GMT-8',
'eras': ZONE_ERAS_Etc_GMT_8
}
# ---------------------------------------------------------------------------
# Zone name: Etc/GMT-9
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Etc_GMT_9: List[ZoneEra] = [
# 9 - +09
{
'offset_seconds': 32400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+09',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Etc_GMT_9: ZoneInfo = {
'name': 'Etc/GMT-9',
'eras': ZONE_ERAS_Etc_GMT_9
}
# ---------------------------------------------------------------------------
# Zone name: Etc/UTC
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Etc_UTC: List[ZoneEra] = [
# 0 - UTC
{
'offset_seconds': 0,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'UTC',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Etc_UTC: ZoneInfo = {
'name': 'Etc/UTC',
'eras': ZONE_ERAS_Etc_UTC
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Amsterdam
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Amsterdam: List[ZoneEra] = [
# 1:00 Neth CE%sT 1977
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_Neth,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 1977,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 1:00 EU CE%sT
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Amsterdam: ZoneInfo = {
'name': 'Europe/Amsterdam',
'eras': ZONE_ERAS_Europe_Amsterdam
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Andorra
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Andorra: List[ZoneEra] = [
# 1:00 - CET 1985 Mar 31 2:00
{
'offset_seconds': 3600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'CET',
'until_year': 1985,
'until_month': 3,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# 1:00 EU CE%sT
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Andorra: ZoneInfo = {
'name': 'Europe/Andorra',
'eras': ZONE_ERAS_Europe_Andorra
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Astrakhan
# Era count: 7
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Astrakhan: List[ZoneEra] = [
# 4:00 Russia +04/+05 1989 Mar 26 2:00s
{
'offset_seconds': 14400,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+04/+05',
'until_year': 1989,
'until_month': 3,
'until_day': 26,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 3:00 Russia +03/+04 1991 Mar 31 2:00s
{
'offset_seconds': 10800,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+03/+04',
'until_year': 1991,
'until_month': 3,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 4:00 - +04 1992 Mar 29 2:00s
{
'offset_seconds': 14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+04',
'until_year': 1992,
'until_month': 3,
'until_day': 29,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 3:00 Russia +03/+04 2011 Mar 27 2:00s
{
'offset_seconds': 10800,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+03/+04',
'until_year': 2011,
'until_month': 3,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 4:00 - +04 2014 Oct 26 2:00s
{
'offset_seconds': 14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+04',
'until_year': 2014,
'until_month': 10,
'until_day': 26,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 3:00 - +03 2016 Mar 27 2:00s
{
'offset_seconds': 10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+03',
'until_year': 2016,
'until_month': 3,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 4:00 - +04
{
'offset_seconds': 14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+04',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Astrakhan: ZoneInfo = {
'name': 'Europe/Astrakhan',
'eras': ZONE_ERAS_Europe_Astrakhan
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Athens
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Athens: List[ZoneEra] = [
# 2:00 Greece EE%sT 1981
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_Greece,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 1981,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 2:00 EU EE%sT
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Athens: ZoneInfo = {
'name': 'Europe/Athens',
'eras': ZONE_ERAS_Europe_Athens
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Belgrade
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Belgrade: List[ZoneEra] = [
# 1:00 - CET 1982 Nov 27
{
'offset_seconds': 3600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'CET',
'until_year': 1982,
'until_month': 11,
'until_day': 27,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 1:00 EU CE%sT
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Belgrade: ZoneInfo = {
'name': 'Europe/Belgrade',
'eras': ZONE_ERAS_Europe_Belgrade
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Berlin
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Berlin: List[ZoneEra] = [
# 1:00 Germany CE%sT 1980
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_Germany,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 1980,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 1:00 EU CE%sT
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Berlin: ZoneInfo = {
'name': 'Europe/Berlin',
'eras': ZONE_ERAS_Europe_Berlin
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Brussels
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Brussels: List[ZoneEra] = [
# 1:00 Belgium CE%sT 1977
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_Belgium,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 1977,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 1:00 EU CE%sT
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Brussels: ZoneInfo = {
'name': 'Europe/Brussels',
'eras': ZONE_ERAS_Europe_Brussels
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Bucharest
# Era count: 5
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Bucharest: List[ZoneEra] = [
# 2:00 Romania EE%sT 1981 Mar 29 2:00s
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_Romania,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 1981,
'until_month': 3,
'until_day': 29,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 2:00 C-Eur EE%sT 1991
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_C_Eur,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 1991,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 2:00 Romania EE%sT 1994
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_Romania,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 1994,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 2:00 E-Eur EE%sT 1997
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_E_Eur,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 1997,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 2:00 EU EE%sT
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Bucharest: ZoneInfo = {
'name': 'Europe/Bucharest',
'eras': ZONE_ERAS_Europe_Bucharest
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Budapest
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Budapest: List[ZoneEra] = [
# 1:00 Hungary CE%sT 1984
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_Hungary,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 1984,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 1:00 EU CE%sT
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Budapest: ZoneInfo = {
'name': 'Europe/Budapest',
'eras': ZONE_ERAS_Europe_Budapest
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Chisinau
# Era count: 4
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Chisinau: List[ZoneEra] = [
# 3:00 Russia MSK/MSD 1990 May 6 2:00
{
'offset_seconds': 10800,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': 'MSK/MSD',
'until_year': 1990,
'until_month': 5,
'until_day': 6,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# 2:00 Russia EE%sT 1992
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 1992,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 2:00 E-Eur EE%sT 1997
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_E_Eur,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 1997,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 2:00 Moldova EE%sT
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_Moldova,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Chisinau: ZoneInfo = {
'name': 'Europe/Chisinau',
'eras': ZONE_ERAS_Europe_Chisinau
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Copenhagen
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Copenhagen: List[ZoneEra] = [
# 1:00 Denmark CE%sT 1980
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_Denmark,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 1980,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 1:00 EU CE%sT
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Copenhagen: ZoneInfo = {
'name': 'Europe/Copenhagen',
'eras': ZONE_ERAS_Europe_Copenhagen
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Dublin
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Dublin: List[ZoneEra] = [
# 1:00 Eire IST/GMT
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_Eire,
'rules_delta_seconds': 0,
'format': 'IST/GMT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Dublin: ZoneInfo = {
'name': 'Europe/Dublin',
'eras': ZONE_ERAS_Europe_Dublin
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Gibraltar
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Gibraltar: List[ZoneEra] = [
# 1:00 - CET 1982
{
'offset_seconds': 3600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'CET',
'until_year': 1982,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 1:00 EU CE%sT
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Gibraltar: ZoneInfo = {
'name': 'Europe/Gibraltar',
'eras': ZONE_ERAS_Europe_Gibraltar
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Helsinki
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Helsinki: List[ZoneEra] = [
# 2:00 Finland EE%sT 1983
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_Finland,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 1983,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 2:00 EU EE%sT
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Helsinki: ZoneInfo = {
'name': 'Europe/Helsinki',
'eras': ZONE_ERAS_Europe_Helsinki
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Istanbul
# Era count: 11
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Istanbul: List[ZoneEra] = [
# 2:00 Turkey EE%sT 1978 Jun 29
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_Turkey,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 1978,
'until_month': 6,
'until_day': 29,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 3:00 Turkey +03/+04 1984 Nov 1 2:00
{
'offset_seconds': 10800,
'zone_policy': ZONE_POLICY_Turkey,
'rules_delta_seconds': 0,
'format': '+03/+04',
'until_year': 1984,
'until_month': 11,
'until_day': 1,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# 2:00 Turkey EE%sT 2007
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_Turkey,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 2007,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 2:00 EU EE%sT 2011 Mar 27 1:00u
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 2011,
'until_month': 3,
'until_day': 27,
'until_seconds': 3600,
'until_time_suffix': 'u',
},
# 2:00 - EET 2011 Mar 28 1:00u
{
'offset_seconds': 7200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EET',
'until_year': 2011,
'until_month': 3,
'until_day': 28,
'until_seconds': 3600,
'until_time_suffix': 'u',
},
# 2:00 EU EE%sT 2014 Mar 30 1:00u
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 2014,
'until_month': 3,
'until_day': 30,
'until_seconds': 3600,
'until_time_suffix': 'u',
},
# 2:00 - EET 2014 Mar 31 1:00u
{
'offset_seconds': 7200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EET',
'until_year': 2014,
'until_month': 3,
'until_day': 31,
'until_seconds': 3600,
'until_time_suffix': 'u',
},
# 2:00 EU EE%sT 2015 Oct 25 1:00u
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 2015,
'until_month': 10,
'until_day': 25,
'until_seconds': 3600,
'until_time_suffix': 'u',
},
# 2:00 1:00 EEST 2015 Nov 8 1:00u
{
'offset_seconds': 7200,
'zone_policy': ':',
'rules_delta_seconds': 3600,
'format': 'EEST',
'until_year': 2015,
'until_month': 11,
'until_day': 8,
'until_seconds': 3600,
'until_time_suffix': 'u',
},
# 2:00 EU EE%sT 2016 Sep 7
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 2016,
'until_month': 9,
'until_day': 7,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 3:00 - +03
{
'offset_seconds': 10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+03',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Istanbul: ZoneInfo = {
'name': 'Europe/Istanbul',
'eras': ZONE_ERAS_Europe_Istanbul
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Kaliningrad
# Era count: 4
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Kaliningrad: List[ZoneEra] = [
# 3:00 Russia MSK/MSD 1989 Mar 26 2:00s
{
'offset_seconds': 10800,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': 'MSK/MSD',
'until_year': 1989,
'until_month': 3,
'until_day': 26,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 2:00 Russia EE%sT 2011 Mar 27 2:00s
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 2011,
'until_month': 3,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 3:00 - +03 2014 Oct 26 2:00s
{
'offset_seconds': 10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+03',
'until_year': 2014,
'until_month': 10,
'until_day': 26,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 2:00 - EET
{
'offset_seconds': 7200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EET',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Kaliningrad: ZoneInfo = {
'name': 'Europe/Kaliningrad',
'eras': ZONE_ERAS_Europe_Kaliningrad
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Kiev
# Era count: 4
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Kiev: List[ZoneEra] = [
# 3:00 Russia MSK/MSD 1990 Jul 1 2:00
{
'offset_seconds': 10800,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': 'MSK/MSD',
'until_year': 1990,
'until_month': 7,
'until_day': 1,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# 2:00 1:00 EEST 1991 Sep 29 3:00
{
'offset_seconds': 7200,
'zone_policy': ':',
'rules_delta_seconds': 3600,
'format': 'EEST',
'until_year': 1991,
'until_month': 9,
'until_day': 29,
'until_seconds': 10800,
'until_time_suffix': 'w',
},
# 2:00 E-Eur EE%sT 1995
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_E_Eur,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 1995,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 2:00 EU EE%sT
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Kiev: ZoneInfo = {
'name': 'Europe/Kiev',
'eras': ZONE_ERAS_Europe_Kiev
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Kirov
# Era count: 6
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Kirov: List[ZoneEra] = [
# 4:00 Russia +04/+05 1989 Mar 26 2:00s
{
'offset_seconds': 14400,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+04/+05',
'until_year': 1989,
'until_month': 3,
'until_day': 26,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 3:00 Russia +03/+04 1991 Mar 31 2:00s
{
'offset_seconds': 10800,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+03/+04',
'until_year': 1991,
'until_month': 3,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 4:00 - +04 1992 Mar 29 2:00s
{
'offset_seconds': 14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+04',
'until_year': 1992,
'until_month': 3,
'until_day': 29,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 3:00 Russia +03/+04 2011 Mar 27 2:00s
{
'offset_seconds': 10800,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+03/+04',
'until_year': 2011,
'until_month': 3,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 4:00 - +04 2014 Oct 26 2:00s
{
'offset_seconds': 14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+04',
'until_year': 2014,
'until_month': 10,
'until_day': 26,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 3:00 - +03
{
'offset_seconds': 10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+03',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Kirov: ZoneInfo = {
'name': 'Europe/Kirov',
'eras': ZONE_ERAS_Europe_Kirov
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Lisbon
# Era count: 5
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Lisbon: List[ZoneEra] = [
# 1:00 - CET 1976 Sep 26 1:00
{
'offset_seconds': 3600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'CET',
'until_year': 1976,
'until_month': 9,
'until_day': 26,
'until_seconds': 3600,
'until_time_suffix': 'w',
},
# 0:00 Port WE%sT 1983 Sep 25 1:00s
{
'offset_seconds': 0,
'zone_policy': ZONE_POLICY_Port,
'rules_delta_seconds': 0,
'format': 'WE%sT',
'until_year': 1983,
'until_month': 9,
'until_day': 25,
'until_seconds': 3600,
'until_time_suffix': 's',
},
# 0:00 W-Eur WE%sT 1992 Sep 27 1:00s
{
'offset_seconds': 0,
'zone_policy': ZONE_POLICY_W_Eur,
'rules_delta_seconds': 0,
'format': 'WE%sT',
'until_year': 1992,
'until_month': 9,
'until_day': 27,
'until_seconds': 3600,
'until_time_suffix': 's',
},
# 1:00 EU CE%sT 1996 Mar 31 1:00u
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 1996,
'until_month': 3,
'until_day': 31,
'until_seconds': 3600,
'until_time_suffix': 'u',
},
# 0:00 EU WE%sT
{
'offset_seconds': 0,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'WE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Lisbon: ZoneInfo = {
'name': 'Europe/Lisbon',
'eras': ZONE_ERAS_Europe_Lisbon
}
# ---------------------------------------------------------------------------
# Zone name: Europe/London
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_London: List[ZoneEra] = [
# 0:00 GB-Eire %s 1996
{
'offset_seconds': 0,
'zone_policy': ZONE_POLICY_GB_Eire,
'rules_delta_seconds': 0,
'format': '%s',
'until_year': 1996,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 0:00 EU GMT/BST
{
'offset_seconds': 0,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'GMT/BST',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_London: ZoneInfo = {
'name': 'Europe/London',
'eras': ZONE_ERAS_Europe_London
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Luxembourg
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Luxembourg: List[ZoneEra] = [
# 1:00 Belgium CE%sT 1977
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_Belgium,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 1977,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 1:00 EU CE%sT
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Luxembourg: ZoneInfo = {
'name': 'Europe/Luxembourg',
'eras': ZONE_ERAS_Europe_Luxembourg
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Madrid
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Madrid: List[ZoneEra] = [
# 1:00 Spain CE%sT 1979
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_Spain,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 1979,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 1:00 EU CE%sT
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Madrid: ZoneInfo = {
'name': 'Europe/Madrid',
'eras': ZONE_ERAS_Europe_Madrid
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Malta
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Malta: List[ZoneEra] = [
# 1:00 Italy CE%sT 1973 Mar 31
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_Italy,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 1973,
'until_month': 3,
'until_day': 31,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 1:00 Malta CE%sT 1981
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_Malta,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 1981,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 1:00 EU CE%sT
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Malta: ZoneInfo = {
'name': 'Europe/Malta',
'eras': ZONE_ERAS_Europe_Malta
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Minsk
# Era count: 4
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Minsk: List[ZoneEra] = [
# 3:00 Russia MSK/MSD 1990
{
'offset_seconds': 10800,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': 'MSK/MSD',
'until_year': 1990,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 3:00 - MSK 1991 Mar 31 2:00s
{
'offset_seconds': 10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'MSK',
'until_year': 1991,
'until_month': 3,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 2:00 Russia EE%sT 2011 Mar 27 2:00s
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 2011,
'until_month': 3,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 3:00 - +03
{
'offset_seconds': 10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+03',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Minsk: ZoneInfo = {
'name': 'Europe/Minsk',
'eras': ZONE_ERAS_Europe_Minsk
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Monaco
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Monaco: List[ZoneEra] = [
# 1:00 France CE%sT 1977
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_France,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 1977,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 1:00 EU CE%sT
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Monaco: ZoneInfo = {
'name': 'Europe/Monaco',
'eras': ZONE_ERAS_Europe_Monaco
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Moscow
# Era count: 5
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Moscow: List[ZoneEra] = [
# 3:00 Russia MSK/MSD 1991 Mar 31 2:00s
{
'offset_seconds': 10800,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': 'MSK/MSD',
'until_year': 1991,
'until_month': 3,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 2:00 Russia EE%sT 1992 Jan 19 2:00s
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 1992,
'until_month': 1,
'until_day': 19,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 3:00 Russia MSK/MSD 2011 Mar 27 2:00s
{
'offset_seconds': 10800,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': 'MSK/MSD',
'until_year': 2011,
'until_month': 3,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 4:00 - MSK 2014 Oct 26 2:00s
{
'offset_seconds': 14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'MSK',
'until_year': 2014,
'until_month': 10,
'until_day': 26,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 3:00 - MSK
{
'offset_seconds': 10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'MSK',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Moscow: ZoneInfo = {
'name': 'Europe/Moscow',
'eras': ZONE_ERAS_Europe_Moscow
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Oslo
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Oslo: List[ZoneEra] = [
# 1:00 Norway CE%sT 1980
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_Norway,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 1980,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 1:00 EU CE%sT
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Oslo: ZoneInfo = {
'name': 'Europe/Oslo',
'eras': ZONE_ERAS_Europe_Oslo
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Paris
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Paris: List[ZoneEra] = [
# 1:00 France CE%sT 1977
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_France,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 1977,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 1:00 EU CE%sT
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Paris: ZoneInfo = {
'name': 'Europe/Paris',
'eras': ZONE_ERAS_Europe_Paris
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Prague
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Prague: List[ZoneEra] = [
# 1:00 Czech CE%sT 1979
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_Czech,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 1979,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 1:00 EU CE%sT
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Prague: ZoneInfo = {
'name': 'Europe/Prague',
'eras': ZONE_ERAS_Europe_Prague
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Riga
# Era count: 6
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Riga: List[ZoneEra] = [
# 3:00 Russia MSK/MSD 1989 Mar lastSun 2:00s
{
'offset_seconds': 10800,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': 'MSK/MSD',
'until_year': 1989,
'until_month': 3,
'until_day': 26,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 2:00 1:00 EEST 1989 Sep lastSun 2:00s
{
'offset_seconds': 7200,
'zone_policy': ':',
'rules_delta_seconds': 3600,
'format': 'EEST',
'until_year': 1989,
'until_month': 9,
'until_day': 24,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 2:00 Latvia EE%sT 1997 Jan 21
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_Latvia,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 1997,
'until_month': 1,
'until_day': 21,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 2:00 EU EE%sT 2000 Feb 29
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 2000,
'until_month': 2,
'until_day': 29,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 2:00 - EET 2001 Jan 2
{
'offset_seconds': 7200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EET',
'until_year': 2001,
'until_month': 1,
'until_day': 2,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 2:00 EU EE%sT
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Riga: ZoneInfo = {
'name': 'Europe/Riga',
'eras': ZONE_ERAS_Europe_Riga
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Rome
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Rome: List[ZoneEra] = [
# 1:00 Italy CE%sT 1980
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_Italy,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 1980,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 1:00 EU CE%sT
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Rome: ZoneInfo = {
'name': 'Europe/Rome',
'eras': ZONE_ERAS_Europe_Rome
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Samara
# Era count: 7
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Samara: List[ZoneEra] = [
# 4:00 Russia +04/+05 1989 Mar 26 2:00s
{
'offset_seconds': 14400,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+04/+05',
'until_year': 1989,
'until_month': 3,
'until_day': 26,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 3:00 Russia +03/+04 1991 Mar 31 2:00s
{
'offset_seconds': 10800,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+03/+04',
'until_year': 1991,
'until_month': 3,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 2:00 Russia +02/+03 1991 Sep 29 2:00s
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+02/+03',
'until_year': 1991,
'until_month': 9,
'until_day': 29,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 3:00 - +03 1991 Oct 20 3:00
{
'offset_seconds': 10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+03',
'until_year': 1991,
'until_month': 10,
'until_day': 20,
'until_seconds': 10800,
'until_time_suffix': 'w',
},
# 4:00 Russia +04/+05 2010 Mar 28 2:00s
{
'offset_seconds': 14400,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+04/+05',
'until_year': 2010,
'until_month': 3,
'until_day': 28,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 3:00 Russia +03/+04 2011 Mar 27 2:00s
{
'offset_seconds': 10800,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+03/+04',
'until_year': 2011,
'until_month': 3,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 4:00 - +04
{
'offset_seconds': 14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+04',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Samara: ZoneInfo = {
'name': 'Europe/Samara',
'eras': ZONE_ERAS_Europe_Samara
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Saratov
# Era count: 7
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Saratov: List[ZoneEra] = [
# 4:00 Russia +04/+05 1988 Mar 27 2:00s
{
'offset_seconds': 14400,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+04/+05',
'until_year': 1988,
'until_month': 3,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 3:00 Russia +03/+04 1991 Mar 31 2:00s
{
'offset_seconds': 10800,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+03/+04',
'until_year': 1991,
'until_month': 3,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 4:00 - +04 1992 Mar 29 2:00s
{
'offset_seconds': 14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+04',
'until_year': 1992,
'until_month': 3,
'until_day': 29,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 3:00 Russia +03/+04 2011 Mar 27 2:00s
{
'offset_seconds': 10800,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+03/+04',
'until_year': 2011,
'until_month': 3,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 4:00 - +04 2014 Oct 26 2:00s
{
'offset_seconds': 14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+04',
'until_year': 2014,
'until_month': 10,
'until_day': 26,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 3:00 - +03 2016 Dec 4 2:00s
{
'offset_seconds': 10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+03',
'until_year': 2016,
'until_month': 12,
'until_day': 4,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 4:00 - +04
{
'offset_seconds': 14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+04',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Saratov: ZoneInfo = {
'name': 'Europe/Saratov',
'eras': ZONE_ERAS_Europe_Saratov
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Simferopol
# Era count: 11
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Simferopol: List[ZoneEra] = [
# 3:00 Russia MSK/MSD 1990
{
'offset_seconds': 10800,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': 'MSK/MSD',
'until_year': 1990,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 3:00 - MSK 1990 Jul 1 2:00
{
'offset_seconds': 10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'MSK',
'until_year': 1990,
'until_month': 7,
'until_day': 1,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# 2:00 - EET 1992
{
'offset_seconds': 7200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EET',
'until_year': 1992,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 2:00 E-Eur EE%sT 1994 May
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_E_Eur,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 1994,
'until_month': 5,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 3:00 E-Eur MSK/MSD 1996 Mar 31 0:00s
{
'offset_seconds': 10800,
'zone_policy': ZONE_POLICY_E_Eur,
'rules_delta_seconds': 0,
'format': 'MSK/MSD',
'until_year': 1996,
'until_month': 3,
'until_day': 31,
'until_seconds': 0,
'until_time_suffix': 's',
},
# 3:00 1:00 MSD 1996 Oct 27 3:00s
{
'offset_seconds': 10800,
'zone_policy': ':',
'rules_delta_seconds': 3600,
'format': 'MSD',
'until_year': 1996,
'until_month': 10,
'until_day': 27,
'until_seconds': 10800,
'until_time_suffix': 's',
},
# 3:00 Russia MSK/MSD 1997
{
'offset_seconds': 10800,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': 'MSK/MSD',
'until_year': 1997,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 3:00 - MSK 1997 Mar lastSun 1:00u
{
'offset_seconds': 10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'MSK',
'until_year': 1997,
'until_month': 3,
'until_day': 30,
'until_seconds': 3600,
'until_time_suffix': 'u',
},
# 2:00 EU EE%sT 2014 Mar 30 2:00
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 2014,
'until_month': 3,
'until_day': 30,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# 4:00 - MSK 2014 Oct 26 2:00s
{
'offset_seconds': 14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'MSK',
'until_year': 2014,
'until_month': 10,
'until_day': 26,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 3:00 - MSK
{
'offset_seconds': 10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'MSK',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Simferopol: ZoneInfo = {
'name': 'Europe/Simferopol',
'eras': ZONE_ERAS_Europe_Simferopol
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Sofia
# Era count: 5
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Sofia: List[ZoneEra] = [
# 2:00 - EET 1979 Mar 31 23:00
{
'offset_seconds': 7200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EET',
'until_year': 1979,
'until_month': 3,
'until_day': 31,
'until_seconds': 82800,
'until_time_suffix': 'w',
},
# 2:00 Bulg EE%sT 1982 Sep 26 3:00
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_Bulg,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 1982,
'until_month': 9,
'until_day': 26,
'until_seconds': 10800,
'until_time_suffix': 'w',
},
# 2:00 C-Eur EE%sT 1991
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_C_Eur,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 1991,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 2:00 E-Eur EE%sT 1997
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_E_Eur,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 1997,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 2:00 EU EE%sT
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Sofia: ZoneInfo = {
'name': 'Europe/Sofia',
'eras': ZONE_ERAS_Europe_Sofia
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Stockholm
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Stockholm: List[ZoneEra] = [
# 1:00 - CET 1980
{
'offset_seconds': 3600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'CET',
'until_year': 1980,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 1:00 EU CE%sT
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Stockholm: ZoneInfo = {
'name': 'Europe/Stockholm',
'eras': ZONE_ERAS_Europe_Stockholm
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Tallinn
# Era count: 6
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Tallinn: List[ZoneEra] = [
# 3:00 Russia MSK/MSD 1989 Mar 26 2:00s
{
'offset_seconds': 10800,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': 'MSK/MSD',
'until_year': 1989,
'until_month': 3,
'until_day': 26,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 2:00 1:00 EEST 1989 Sep 24 2:00s
{
'offset_seconds': 7200,
'zone_policy': ':',
'rules_delta_seconds': 3600,
'format': 'EEST',
'until_year': 1989,
'until_month': 9,
'until_day': 24,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 2:00 C-Eur EE%sT 1998 Sep 22
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_C_Eur,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 1998,
'until_month': 9,
'until_day': 22,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 2:00 EU EE%sT 1999 Oct 31 4:00
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 1999,
'until_month': 10,
'until_day': 31,
'until_seconds': 14400,
'until_time_suffix': 'w',
},
# 2:00 - EET 2002 Feb 21
{
'offset_seconds': 7200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EET',
'until_year': 2002,
'until_month': 2,
'until_day': 21,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 2:00 EU EE%sT
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Tallinn: ZoneInfo = {
'name': 'Europe/Tallinn',
'eras': ZONE_ERAS_Europe_Tallinn
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Tirane
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Tirane: List[ZoneEra] = [
# 1:00 Albania CE%sT 1984 Jul
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_Albania,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 1984,
'until_month': 7,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 1:00 EU CE%sT
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Tirane: ZoneInfo = {
'name': 'Europe/Tirane',
'eras': ZONE_ERAS_Europe_Tirane
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Ulyanovsk
# Era count: 7
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Ulyanovsk: List[ZoneEra] = [
# 4:00 Russia +04/+05 1989 Mar 26 2:00s
{
'offset_seconds': 14400,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+04/+05',
'until_year': 1989,
'until_month': 3,
'until_day': 26,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 3:00 Russia +03/+04 1991 Mar 31 2:00s
{
'offset_seconds': 10800,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+03/+04',
'until_year': 1991,
'until_month': 3,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 2:00 Russia +02/+03 1992 Jan 19 2:00s
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+02/+03',
'until_year': 1992,
'until_month': 1,
'until_day': 19,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 3:00 Russia +03/+04 2011 Mar 27 2:00s
{
'offset_seconds': 10800,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+03/+04',
'until_year': 2011,
'until_month': 3,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 4:00 - +04 2014 Oct 26 2:00s
{
'offset_seconds': 14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+04',
'until_year': 2014,
'until_month': 10,
'until_day': 26,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 3:00 - +03 2016 Mar 27 2:00s
{
'offset_seconds': 10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+03',
'until_year': 2016,
'until_month': 3,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 4:00 - +04
{
'offset_seconds': 14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+04',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Ulyanovsk: ZoneInfo = {
'name': 'Europe/Ulyanovsk',
'eras': ZONE_ERAS_Europe_Ulyanovsk
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Uzhgorod
# Era count: 6
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Uzhgorod: List[ZoneEra] = [
# 3:00 Russia MSK/MSD 1990
{
'offset_seconds': 10800,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': 'MSK/MSD',
'until_year': 1990,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 3:00 - MSK 1990 Jul 1 2:00
{
'offset_seconds': 10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'MSK',
'until_year': 1990,
'until_month': 7,
'until_day': 1,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# 1:00 - CET 1991 Mar 31 3:00
{
'offset_seconds': 3600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'CET',
'until_year': 1991,
'until_month': 3,
'until_day': 31,
'until_seconds': 10800,
'until_time_suffix': 'w',
},
# 2:00 - EET 1992
{
'offset_seconds': 7200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EET',
'until_year': 1992,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 2:00 E-Eur EE%sT 1995
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_E_Eur,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 1995,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 2:00 EU EE%sT
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Uzhgorod: ZoneInfo = {
'name': 'Europe/Uzhgorod',
'eras': ZONE_ERAS_Europe_Uzhgorod
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Vienna
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Vienna: List[ZoneEra] = [
# 1:00 Austria CE%sT 1981
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_Austria,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 1981,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 1:00 EU CE%sT
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Vienna: ZoneInfo = {
'name': 'Europe/Vienna',
'eras': ZONE_ERAS_Europe_Vienna
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Vilnius
# Era count: 7
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Vilnius: List[ZoneEra] = [
# 3:00 Russia MSK/MSD 1989 Mar 26 2:00s
{
'offset_seconds': 10800,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': 'MSK/MSD',
'until_year': 1989,
'until_month': 3,
'until_day': 26,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 2:00 Russia EE%sT 1991 Sep 29 2:00s
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 1991,
'until_month': 9,
'until_day': 29,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 2:00 C-Eur EE%sT 1998
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_C_Eur,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 1998,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 2:00 - EET 1998 Mar 29 1:00u
{
'offset_seconds': 7200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EET',
'until_year': 1998,
'until_month': 3,
'until_day': 29,
'until_seconds': 3600,
'until_time_suffix': 'u',
},
# 1:00 EU CE%sT 1999 Oct 31 1:00u
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 1999,
'until_month': 10,
'until_day': 31,
'until_seconds': 3600,
'until_time_suffix': 'u',
},
# 2:00 - EET 2003 Jan 1
{
'offset_seconds': 7200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'EET',
'until_year': 2003,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 2:00 EU EE%sT
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Vilnius: ZoneInfo = {
'name': 'Europe/Vilnius',
'eras': ZONE_ERAS_Europe_Vilnius
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Volgograd
# Era count: 8
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Volgograd: List[ZoneEra] = [
# 4:00 Russia +04/+05 1988 Mar 27 2:00s
{
'offset_seconds': 14400,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+04/+05',
'until_year': 1988,
'until_month': 3,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 3:00 Russia +03/+04 1991 Mar 31 2:00s
{
'offset_seconds': 10800,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+03/+04',
'until_year': 1991,
'until_month': 3,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 4:00 - +04 1992 Mar 29 2:00s
{
'offset_seconds': 14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+04',
'until_year': 1992,
'until_month': 3,
'until_day': 29,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 3:00 Russia +03/+04 2011 Mar 27 2:00s
{
'offset_seconds': 10800,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': '+03/+04',
'until_year': 2011,
'until_month': 3,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 4:00 - +04 2014 Oct 26 2:00s
{
'offset_seconds': 14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+04',
'until_year': 2014,
'until_month': 10,
'until_day': 26,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 3:00 - +03 2018 Oct 28 2:00s
{
'offset_seconds': 10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+03',
'until_year': 2018,
'until_month': 10,
'until_day': 28,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 4:00 - +04 2020 Dec 27 2:00s
{
'offset_seconds': 14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+04',
'until_year': 2020,
'until_month': 12,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 3:00 - +03
{
'offset_seconds': 10800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+03',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Volgograd: ZoneInfo = {
'name': 'Europe/Volgograd',
'eras': ZONE_ERAS_Europe_Volgograd
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Warsaw
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Warsaw: List[ZoneEra] = [
# 1:00 Poland CE%sT 1977
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_Poland,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 1977,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 1:00 W-Eur CE%sT 1988
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_W_Eur,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 1988,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 1:00 EU CE%sT
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Warsaw: ZoneInfo = {
'name': 'Europe/Warsaw',
'eras': ZONE_ERAS_Europe_Warsaw
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Zaporozhye
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Zaporozhye: List[ZoneEra] = [
# 3:00 Russia MSK/MSD 1991 Mar 31 2:00
{
'offset_seconds': 10800,
'zone_policy': ZONE_POLICY_Russia,
'rules_delta_seconds': 0,
'format': 'MSK/MSD',
'until_year': 1991,
'until_month': 3,
'until_day': 31,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# 2:00 E-Eur EE%sT 1995
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_E_Eur,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 1995,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 2:00 EU EE%sT
{
'offset_seconds': 7200,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'EE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Zaporozhye: ZoneInfo = {
'name': 'Europe/Zaporozhye',
'eras': ZONE_ERAS_Europe_Zaporozhye
}
# ---------------------------------------------------------------------------
# Zone name: Europe/Zurich
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Europe_Zurich: List[ZoneEra] = [
# 1:00 Swiss CE%sT 1981
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_Swiss,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 1981,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 1:00 EU CE%sT
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'CE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Europe_Zurich: ZoneInfo = {
'name': 'Europe/Zurich',
'eras': ZONE_ERAS_Europe_Zurich
}
# ---------------------------------------------------------------------------
# Zone name: HST
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_HST: List[ZoneEra] = [
# -10:00 - HST
{
'offset_seconds': -36000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'HST',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_HST: ZoneInfo = {
'name': 'HST',
'eras': ZONE_ERAS_HST
}
# ---------------------------------------------------------------------------
# Zone name: Indian/Chagos
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Indian_Chagos: List[ZoneEra] = [
# 5:00 - +05 1996
{
'offset_seconds': 18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+05',
'until_year': 1996,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 6:00 - +06
{
'offset_seconds': 21600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+06',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Indian_Chagos: ZoneInfo = {
'name': 'Indian/Chagos',
'eras': ZONE_ERAS_Indian_Chagos
}
# ---------------------------------------------------------------------------
# Zone name: Indian/Christmas
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Indian_Christmas: List[ZoneEra] = [
# 7:00 - +07
{
'offset_seconds': 25200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+07',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Indian_Christmas: ZoneInfo = {
'name': 'Indian/Christmas',
'eras': ZONE_ERAS_Indian_Christmas
}
# ---------------------------------------------------------------------------
# Zone name: Indian/Cocos
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Indian_Cocos: List[ZoneEra] = [
# 6:30 - +0630
{
'offset_seconds': 23400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+0630',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Indian_Cocos: ZoneInfo = {
'name': 'Indian/Cocos',
'eras': ZONE_ERAS_Indian_Cocos
}
# ---------------------------------------------------------------------------
# Zone name: Indian/Kerguelen
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Indian_Kerguelen: List[ZoneEra] = [
# 5:00 - +05
{
'offset_seconds': 18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+05',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Indian_Kerguelen: ZoneInfo = {
'name': 'Indian/Kerguelen',
'eras': ZONE_ERAS_Indian_Kerguelen
}
# ---------------------------------------------------------------------------
# Zone name: Indian/Mahe
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Indian_Mahe: List[ZoneEra] = [
# 4:00 - +04
{
'offset_seconds': 14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+04',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Indian_Mahe: ZoneInfo = {
'name': 'Indian/Mahe',
'eras': ZONE_ERAS_Indian_Mahe
}
# ---------------------------------------------------------------------------
# Zone name: Indian/Maldives
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Indian_Maldives: List[ZoneEra] = [
# 5:00 - +05
{
'offset_seconds': 18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+05',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Indian_Maldives: ZoneInfo = {
'name': 'Indian/Maldives',
'eras': ZONE_ERAS_Indian_Maldives
}
# ---------------------------------------------------------------------------
# Zone name: Indian/Mauritius
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Indian_Mauritius: List[ZoneEra] = [
# 4:00 Mauritius +04/+05
{
'offset_seconds': 14400,
'zone_policy': ZONE_POLICY_Mauritius,
'rules_delta_seconds': 0,
'format': '+04/+05',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Indian_Mauritius: ZoneInfo = {
'name': 'Indian/Mauritius',
'eras': ZONE_ERAS_Indian_Mauritius
}
# ---------------------------------------------------------------------------
# Zone name: Indian/Reunion
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Indian_Reunion: List[ZoneEra] = [
# 4:00 - +04
{
'offset_seconds': 14400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+04',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Indian_Reunion: ZoneInfo = {
'name': 'Indian/Reunion',
'eras': ZONE_ERAS_Indian_Reunion
}
# ---------------------------------------------------------------------------
# Zone name: MET
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_MET: List[ZoneEra] = [
# 1:00 C-Eur ME%sT
{
'offset_seconds': 3600,
'zone_policy': ZONE_POLICY_C_Eur,
'rules_delta_seconds': 0,
'format': 'ME%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_MET: ZoneInfo = {
'name': 'MET',
'eras': ZONE_ERAS_MET
}
# ---------------------------------------------------------------------------
# Zone name: MST
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_MST: List[ZoneEra] = [
# -7:00 - MST
{
'offset_seconds': -25200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'MST',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_MST: ZoneInfo = {
'name': 'MST',
'eras': ZONE_ERAS_MST
}
# ---------------------------------------------------------------------------
# Zone name: MST7MDT
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_MST7MDT: List[ZoneEra] = [
# -7:00 US M%sT
{
'offset_seconds': -25200,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'M%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_MST7MDT: ZoneInfo = {
'name': 'MST7MDT',
'eras': ZONE_ERAS_MST7MDT
}
# ---------------------------------------------------------------------------
# Zone name: PST8PDT
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_PST8PDT: List[ZoneEra] = [
# -8:00 US P%sT
{
'offset_seconds': -28800,
'zone_policy': ZONE_POLICY_US,
'rules_delta_seconds': 0,
'format': 'P%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_PST8PDT: ZoneInfo = {
'name': 'PST8PDT',
'eras': ZONE_ERAS_PST8PDT
}
# ---------------------------------------------------------------------------
# Zone name: Pacific/Apia
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Pacific_Apia: List[ZoneEra] = [
# -11:00 WS -11/-10 2011 Dec 29 24:00
{
'offset_seconds': -39600,
'zone_policy': ZONE_POLICY_WS,
'rules_delta_seconds': 0,
'format': '-11/-10',
'until_year': 2011,
'until_month': 12,
'until_day': 29,
'until_seconds': 86400,
'until_time_suffix': 'w',
},
# 13:00 WS +13/+14
{
'offset_seconds': 46800,
'zone_policy': ZONE_POLICY_WS,
'rules_delta_seconds': 0,
'format': '+13/+14',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Pacific_Apia: ZoneInfo = {
'name': 'Pacific/Apia',
'eras': ZONE_ERAS_Pacific_Apia
}
# ---------------------------------------------------------------------------
# Zone name: Pacific/Auckland
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Pacific_Auckland: List[ZoneEra] = [
# 12:00 NZ NZ%sT
{
'offset_seconds': 43200,
'zone_policy': ZONE_POLICY_NZ,
'rules_delta_seconds': 0,
'format': 'NZ%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Pacific_Auckland: ZoneInfo = {
'name': 'Pacific/Auckland',
'eras': ZONE_ERAS_Pacific_Auckland
}
# ---------------------------------------------------------------------------
# Zone name: Pacific/Bougainville
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Pacific_Bougainville: List[ZoneEra] = [
# 10:00 - +10 2014 Dec 28 2:00
{
'offset_seconds': 36000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+10',
'until_year': 2014,
'until_month': 12,
'until_day': 28,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# 11:00 - +11
{
'offset_seconds': 39600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+11',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Pacific_Bougainville: ZoneInfo = {
'name': 'Pacific/Bougainville',
'eras': ZONE_ERAS_Pacific_Bougainville
}
# ---------------------------------------------------------------------------
# Zone name: Pacific/Chatham
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Pacific_Chatham: List[ZoneEra] = [
# 12:45 Chatham +1245/+1345
{
'offset_seconds': 45900,
'zone_policy': ZONE_POLICY_Chatham,
'rules_delta_seconds': 0,
'format': '+1245/+1345',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Pacific_Chatham: ZoneInfo = {
'name': 'Pacific/Chatham',
'eras': ZONE_ERAS_Pacific_Chatham
}
# ---------------------------------------------------------------------------
# Zone name: Pacific/Chuuk
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Pacific_Chuuk: List[ZoneEra] = [
# 10:00 - +10
{
'offset_seconds': 36000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+10',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Pacific_Chuuk: ZoneInfo = {
'name': 'Pacific/Chuuk',
'eras': ZONE_ERAS_Pacific_Chuuk
}
# ---------------------------------------------------------------------------
# Zone name: Pacific/Easter
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Pacific_Easter: List[ZoneEra] = [
# -7:00 Chile -07/-06 1982 Mar 14 3:00u
{
'offset_seconds': -25200,
'zone_policy': ZONE_POLICY_Chile,
'rules_delta_seconds': 0,
'format': '-07/-06',
'until_year': 1982,
'until_month': 3,
'until_day': 14,
'until_seconds': 10800,
'until_time_suffix': 'u',
},
# -6:00 Chile -06/-05
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_Chile,
'rules_delta_seconds': 0,
'format': '-06/-05',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Pacific_Easter: ZoneInfo = {
'name': 'Pacific/Easter',
'eras': ZONE_ERAS_Pacific_Easter
}
# ---------------------------------------------------------------------------
# Zone name: Pacific/Efate
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Pacific_Efate: List[ZoneEra] = [
# 11:00 Vanuatu +11/+12
{
'offset_seconds': 39600,
'zone_policy': ZONE_POLICY_Vanuatu,
'rules_delta_seconds': 0,
'format': '+11/+12',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Pacific_Efate: ZoneInfo = {
'name': 'Pacific/Efate',
'eras': ZONE_ERAS_Pacific_Efate
}
# ---------------------------------------------------------------------------
# Zone name: Pacific/Fakaofo
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Pacific_Fakaofo: List[ZoneEra] = [
# -11:00 - -11 2011 Dec 30
{
'offset_seconds': -39600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-11',
'until_year': 2011,
'until_month': 12,
'until_day': 30,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 13:00 - +13
{
'offset_seconds': 46800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+13',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Pacific_Fakaofo: ZoneInfo = {
'name': 'Pacific/Fakaofo',
'eras': ZONE_ERAS_Pacific_Fakaofo
}
# ---------------------------------------------------------------------------
# Zone name: Pacific/Fiji
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Pacific_Fiji: List[ZoneEra] = [
# 12:00 Fiji +12/+13
{
'offset_seconds': 43200,
'zone_policy': ZONE_POLICY_Fiji,
'rules_delta_seconds': 0,
'format': '+12/+13',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Pacific_Fiji: ZoneInfo = {
'name': 'Pacific/Fiji',
'eras': ZONE_ERAS_Pacific_Fiji
}
# ---------------------------------------------------------------------------
# Zone name: Pacific/Funafuti
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Pacific_Funafuti: List[ZoneEra] = [
# 12:00 - +12
{
'offset_seconds': 43200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+12',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Pacific_Funafuti: ZoneInfo = {
'name': 'Pacific/Funafuti',
'eras': ZONE_ERAS_Pacific_Funafuti
}
# ---------------------------------------------------------------------------
# Zone name: Pacific/Galapagos
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Pacific_Galapagos: List[ZoneEra] = [
# -5:00 - -05 1986
{
'offset_seconds': -18000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-05',
'until_year': 1986,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -6:00 Ecuador -06/-05
{
'offset_seconds': -21600,
'zone_policy': ZONE_POLICY_Ecuador,
'rules_delta_seconds': 0,
'format': '-06/-05',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Pacific_Galapagos: ZoneInfo = {
'name': 'Pacific/Galapagos',
'eras': ZONE_ERAS_Pacific_Galapagos
}
# ---------------------------------------------------------------------------
# Zone name: Pacific/Gambier
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Pacific_Gambier: List[ZoneEra] = [
# -9:00 - -09
{
'offset_seconds': -32400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-09',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Pacific_Gambier: ZoneInfo = {
'name': 'Pacific/Gambier',
'eras': ZONE_ERAS_Pacific_Gambier
}
# ---------------------------------------------------------------------------
# Zone name: Pacific/Guadalcanal
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Pacific_Guadalcanal: List[ZoneEra] = [
# 11:00 - +11
{
'offset_seconds': 39600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+11',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Pacific_Guadalcanal: ZoneInfo = {
'name': 'Pacific/Guadalcanal',
'eras': ZONE_ERAS_Pacific_Guadalcanal
}
# ---------------------------------------------------------------------------
# Zone name: Pacific/Guam
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Pacific_Guam: List[ZoneEra] = [
# 10:00 Guam G%sT 2000 Dec 23
{
'offset_seconds': 36000,
'zone_policy': ZONE_POLICY_Guam,
'rules_delta_seconds': 0,
'format': 'G%sT',
'until_year': 2000,
'until_month': 12,
'until_day': 23,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 10:00 - ChST
{
'offset_seconds': 36000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'ChST',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Pacific_Guam: ZoneInfo = {
'name': 'Pacific/Guam',
'eras': ZONE_ERAS_Pacific_Guam
}
# ---------------------------------------------------------------------------
# Zone name: Pacific/Honolulu
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Pacific_Honolulu: List[ZoneEra] = [
# -10:00 - HST
{
'offset_seconds': -36000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'HST',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Pacific_Honolulu: ZoneInfo = {
'name': 'Pacific/Honolulu',
'eras': ZONE_ERAS_Pacific_Honolulu
}
# ---------------------------------------------------------------------------
# Zone name: Pacific/Kanton
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_Pacific_Kanton: List[ZoneEra] = [
# -12:00 - -12 1979 Oct
{
'offset_seconds': -43200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-12',
'until_year': 1979,
'until_month': 10,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -11:00 - -11 1994 Dec 31
{
'offset_seconds': -39600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-11',
'until_year': 1994,
'until_month': 12,
'until_day': 31,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 13:00 - +13
{
'offset_seconds': 46800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+13',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Pacific_Kanton: ZoneInfo = {
'name': 'Pacific/Kanton',
'eras': ZONE_ERAS_Pacific_Kanton
}
# ---------------------------------------------------------------------------
# Zone name: Pacific/Kiritimati
# Era count: 3
# ---------------------------------------------------------------------------
ZONE_ERAS_Pacific_Kiritimati: List[ZoneEra] = [
# -10:40 - -1040 1979 Oct
{
'offset_seconds': -38400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-1040',
'until_year': 1979,
'until_month': 10,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -10:00 - -10 1994 Dec 31
{
'offset_seconds': -36000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-10',
'until_year': 1994,
'until_month': 12,
'until_day': 31,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 14:00 - +14
{
'offset_seconds': 50400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+14',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Pacific_Kiritimati: ZoneInfo = {
'name': 'Pacific/Kiritimati',
'eras': ZONE_ERAS_Pacific_Kiritimati
}
# ---------------------------------------------------------------------------
# Zone name: Pacific/Kosrae
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Pacific_Kosrae: List[ZoneEra] = [
# 12:00 - +12 1999
{
'offset_seconds': 43200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+12',
'until_year': 1999,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 11:00 - +11
{
'offset_seconds': 39600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+11',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Pacific_Kosrae: ZoneInfo = {
'name': 'Pacific/Kosrae',
'eras': ZONE_ERAS_Pacific_Kosrae
}
# ---------------------------------------------------------------------------
# Zone name: Pacific/Kwajalein
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Pacific_Kwajalein: List[ZoneEra] = [
# -12:00 - -12 1993 Aug 20 24:00
{
'offset_seconds': -43200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-12',
'until_year': 1993,
'until_month': 8,
'until_day': 20,
'until_seconds': 86400,
'until_time_suffix': 'w',
},
# 12:00 - +12
{
'offset_seconds': 43200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+12',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Pacific_Kwajalein: ZoneInfo = {
'name': 'Pacific/Kwajalein',
'eras': ZONE_ERAS_Pacific_Kwajalein
}
# ---------------------------------------------------------------------------
# Zone name: Pacific/Majuro
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Pacific_Majuro: List[ZoneEra] = [
# 12:00 - +12
{
'offset_seconds': 43200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+12',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Pacific_Majuro: ZoneInfo = {
'name': 'Pacific/Majuro',
'eras': ZONE_ERAS_Pacific_Majuro
}
# ---------------------------------------------------------------------------
# Zone name: Pacific/Marquesas
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Pacific_Marquesas: List[ZoneEra] = [
# -9:30 - -0930
{
'offset_seconds': -34200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-0930',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Pacific_Marquesas: ZoneInfo = {
'name': 'Pacific/Marquesas',
'eras': ZONE_ERAS_Pacific_Marquesas
}
# ---------------------------------------------------------------------------
# Zone name: Pacific/Nauru
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Pacific_Nauru: List[ZoneEra] = [
# 11:30 - +1130 1979 Feb 10 2:00
{
'offset_seconds': 41400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+1130',
'until_year': 1979,
'until_month': 2,
'until_day': 10,
'until_seconds': 7200,
'until_time_suffix': 'w',
},
# 12:00 - +12
{
'offset_seconds': 43200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+12',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Pacific_Nauru: ZoneInfo = {
'name': 'Pacific/Nauru',
'eras': ZONE_ERAS_Pacific_Nauru
}
# ---------------------------------------------------------------------------
# Zone name: Pacific/Niue
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Pacific_Niue: List[ZoneEra] = [
# -11:00 - -11
{
'offset_seconds': -39600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-11',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Pacific_Niue: ZoneInfo = {
'name': 'Pacific/Niue',
'eras': ZONE_ERAS_Pacific_Niue
}
# ---------------------------------------------------------------------------
# Zone name: Pacific/Norfolk
# Era count: 5
# ---------------------------------------------------------------------------
ZONE_ERAS_Pacific_Norfolk: List[ZoneEra] = [
# 11:30 - +1130 1974 Oct 27 02:00s
{
'offset_seconds': 41400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+1130',
'until_year': 1974,
'until_month': 10,
'until_day': 27,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 11:30 1:00 +1230 1975 Mar 2 02:00s
{
'offset_seconds': 41400,
'zone_policy': ':',
'rules_delta_seconds': 3600,
'format': '+1230',
'until_year': 1975,
'until_month': 3,
'until_day': 2,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 11:30 - +1130 2015 Oct 4 02:00s
{
'offset_seconds': 41400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+1130',
'until_year': 2015,
'until_month': 10,
'until_day': 4,
'until_seconds': 7200,
'until_time_suffix': 's',
},
# 11:00 - +11 2019 Jul
{
'offset_seconds': 39600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+11',
'until_year': 2019,
'until_month': 7,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 11:00 AN +11/+12
{
'offset_seconds': 39600,
'zone_policy': ZONE_POLICY_AN,
'rules_delta_seconds': 0,
'format': '+11/+12',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Pacific_Norfolk: ZoneInfo = {
'name': 'Pacific/Norfolk',
'eras': ZONE_ERAS_Pacific_Norfolk
}
# ---------------------------------------------------------------------------
# Zone name: Pacific/Noumea
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Pacific_Noumea: List[ZoneEra] = [
# 11:00 NC +11/+12
{
'offset_seconds': 39600,
'zone_policy': ZONE_POLICY_NC,
'rules_delta_seconds': 0,
'format': '+11/+12',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Pacific_Noumea: ZoneInfo = {
'name': 'Pacific/Noumea',
'eras': ZONE_ERAS_Pacific_Noumea
}
# ---------------------------------------------------------------------------
# Zone name: Pacific/Pago_Pago
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Pacific_Pago_Pago: List[ZoneEra] = [
# -11:00 - SST
{
'offset_seconds': -39600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': 'SST',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Pacific_Pago_Pago: ZoneInfo = {
'name': 'Pacific/Pago_Pago',
'eras': ZONE_ERAS_Pacific_Pago_Pago
}
# ---------------------------------------------------------------------------
# Zone name: Pacific/Palau
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Pacific_Palau: List[ZoneEra] = [
# 9:00 - +09
{
'offset_seconds': 32400,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+09',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Pacific_Palau: ZoneInfo = {
'name': 'Pacific/Palau',
'eras': ZONE_ERAS_Pacific_Palau
}
# ---------------------------------------------------------------------------
# Zone name: Pacific/Pitcairn
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Pacific_Pitcairn: List[ZoneEra] = [
# -8:30 - -0830 1998 Apr 27 0:00
{
'offset_seconds': -30600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-0830',
'until_year': 1998,
'until_month': 4,
'until_day': 27,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -8:00 - -08
{
'offset_seconds': -28800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-08',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Pacific_Pitcairn: ZoneInfo = {
'name': 'Pacific/Pitcairn',
'eras': ZONE_ERAS_Pacific_Pitcairn
}
# ---------------------------------------------------------------------------
# Zone name: Pacific/Pohnpei
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Pacific_Pohnpei: List[ZoneEra] = [
# 11:00 - +11
{
'offset_seconds': 39600,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+11',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Pacific_Pohnpei: ZoneInfo = {
'name': 'Pacific/Pohnpei',
'eras': ZONE_ERAS_Pacific_Pohnpei
}
# ---------------------------------------------------------------------------
# Zone name: Pacific/Port_Moresby
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Pacific_Port_Moresby: List[ZoneEra] = [
# 10:00 - +10
{
'offset_seconds': 36000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+10',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Pacific_Port_Moresby: ZoneInfo = {
'name': 'Pacific/Port_Moresby',
'eras': ZONE_ERAS_Pacific_Port_Moresby
}
# ---------------------------------------------------------------------------
# Zone name: Pacific/Rarotonga
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Pacific_Rarotonga: List[ZoneEra] = [
# -10:30 - -1030 1978 Nov 12
{
'offset_seconds': -37800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-1030',
'until_year': 1978,
'until_month': 11,
'until_day': 12,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# -10:00 Cook -10/-0930
{
'offset_seconds': -36000,
'zone_policy': ZONE_POLICY_Cook,
'rules_delta_seconds': 0,
'format': '-10/-0930',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Pacific_Rarotonga: ZoneInfo = {
'name': 'Pacific/Rarotonga',
'eras': ZONE_ERAS_Pacific_Rarotonga
}
# ---------------------------------------------------------------------------
# Zone name: Pacific/Tahiti
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Pacific_Tahiti: List[ZoneEra] = [
# -10:00 - -10
{
'offset_seconds': -36000,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '-10',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Pacific_Tahiti: ZoneInfo = {
'name': 'Pacific/Tahiti',
'eras': ZONE_ERAS_Pacific_Tahiti
}
# ---------------------------------------------------------------------------
# Zone name: Pacific/Tarawa
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Pacific_Tarawa: List[ZoneEra] = [
# 12:00 - +12
{
'offset_seconds': 43200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+12',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Pacific_Tarawa: ZoneInfo = {
'name': 'Pacific/Tarawa',
'eras': ZONE_ERAS_Pacific_Tarawa
}
# ---------------------------------------------------------------------------
# Zone name: Pacific/Tongatapu
# Era count: 2
# ---------------------------------------------------------------------------
ZONE_ERAS_Pacific_Tongatapu: List[ZoneEra] = [
# 13:00 - +13 1999
{
'offset_seconds': 46800,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+13',
'until_year': 1999,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
# 13:00 Tonga +13/+14
{
'offset_seconds': 46800,
'zone_policy': ZONE_POLICY_Tonga,
'rules_delta_seconds': 0,
'format': '+13/+14',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Pacific_Tongatapu: ZoneInfo = {
'name': 'Pacific/Tongatapu',
'eras': ZONE_ERAS_Pacific_Tongatapu
}
# ---------------------------------------------------------------------------
# Zone name: Pacific/Wake
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Pacific_Wake: List[ZoneEra] = [
# 12:00 - +12
{
'offset_seconds': 43200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+12',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Pacific_Wake: ZoneInfo = {
'name': 'Pacific/Wake',
'eras': ZONE_ERAS_Pacific_Wake
}
# ---------------------------------------------------------------------------
# Zone name: Pacific/Wallis
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_Pacific_Wallis: List[ZoneEra] = [
# 12:00 - +12
{
'offset_seconds': 43200,
'zone_policy': '-',
'rules_delta_seconds': 0,
'format': '+12',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_Pacific_Wallis: ZoneInfo = {
'name': 'Pacific/Wallis',
'eras': ZONE_ERAS_Pacific_Wallis
}
# ---------------------------------------------------------------------------
# Zone name: WET
# Era count: 1
# ---------------------------------------------------------------------------
ZONE_ERAS_WET: List[ZoneEra] = [
# 0:00 EU WE%sT
{
'offset_seconds': 0,
'zone_policy': ZONE_POLICY_EU,
'rules_delta_seconds': 0,
'format': 'WE%sT',
'until_year': 10000,
'until_month': 1,
'until_day': 1,
'until_seconds': 0,
'until_time_suffix': 'w',
},
]
ZONE_INFO_WET: ZoneInfo = {
'name': 'WET',
'eras': ZONE_ERAS_WET
}
# ---------------------------------------------------------------------------
# Supported links: 217
# ---------------------------------------------------------------------------
# Link name: Africa/Accra -> Africa/Abidjan
ZONE_INFO_Africa_Accra: ZoneInfo = {
'name': 'Africa/Accra',
'eras': ZONE_ERAS_Africa_Abidjan
}
# Link name: Africa/Addis_Ababa -> Africa/Nairobi
ZONE_INFO_Africa_Addis_Ababa: ZoneInfo = {
'name': 'Africa/Addis_Ababa',
'eras': ZONE_ERAS_Africa_Nairobi
}
# Link name: Africa/Asmara -> Africa/Nairobi
ZONE_INFO_Africa_Asmara: ZoneInfo = {
'name': 'Africa/Asmara',
'eras': ZONE_ERAS_Africa_Nairobi
}
# Link name: Africa/Asmera -> Africa/Nairobi
ZONE_INFO_Africa_Asmera: ZoneInfo = {
'name': 'Africa/Asmera',
'eras': ZONE_ERAS_Africa_Nairobi
}
# Link name: Africa/Bamako -> Africa/Abidjan
ZONE_INFO_Africa_Bamako: ZoneInfo = {
'name': 'Africa/Bamako',
'eras': ZONE_ERAS_Africa_Abidjan
}
# Link name: Africa/Bangui -> Africa/Lagos
ZONE_INFO_Africa_Bangui: ZoneInfo = {
'name': 'Africa/Bangui',
'eras': ZONE_ERAS_Africa_Lagos
}
# Link name: Africa/Banjul -> Africa/Abidjan
ZONE_INFO_Africa_Banjul: ZoneInfo = {
'name': 'Africa/Banjul',
'eras': ZONE_ERAS_Africa_Abidjan
}
# Link name: Africa/Blantyre -> Africa/Maputo
ZONE_INFO_Africa_Blantyre: ZoneInfo = {
'name': 'Africa/Blantyre',
'eras': ZONE_ERAS_Africa_Maputo
}
# Link name: Africa/Brazzaville -> Africa/Lagos
ZONE_INFO_Africa_Brazzaville: ZoneInfo = {
'name': 'Africa/Brazzaville',
'eras': ZONE_ERAS_Africa_Lagos
}
# Link name: Africa/Bujumbura -> Africa/Maputo
ZONE_INFO_Africa_Bujumbura: ZoneInfo = {
'name': 'Africa/Bujumbura',
'eras': ZONE_ERAS_Africa_Maputo
}
# Link name: Africa/Conakry -> Africa/Abidjan
ZONE_INFO_Africa_Conakry: ZoneInfo = {
'name': 'Africa/Conakry',
'eras': ZONE_ERAS_Africa_Abidjan
}
# Link name: Africa/Dakar -> Africa/Abidjan
ZONE_INFO_Africa_Dakar: ZoneInfo = {
'name': 'Africa/Dakar',
'eras': ZONE_ERAS_Africa_Abidjan
}
# Link name: Africa/Dar_es_Salaam -> Africa/Nairobi
ZONE_INFO_Africa_Dar_es_Salaam: ZoneInfo = {
'name': 'Africa/Dar_es_Salaam',
'eras': ZONE_ERAS_Africa_Nairobi
}
# Link name: Africa/Djibouti -> Africa/Nairobi
ZONE_INFO_Africa_Djibouti: ZoneInfo = {
'name': 'Africa/Djibouti',
'eras': ZONE_ERAS_Africa_Nairobi
}
# Link name: Africa/Douala -> Africa/Lagos
ZONE_INFO_Africa_Douala: ZoneInfo = {
'name': 'Africa/Douala',
'eras': ZONE_ERAS_Africa_Lagos
}
# Link name: Africa/Freetown -> Africa/Abidjan
ZONE_INFO_Africa_Freetown: ZoneInfo = {
'name': 'Africa/Freetown',
'eras': ZONE_ERAS_Africa_Abidjan
}
# Link name: Africa/Gaborone -> Africa/Maputo
ZONE_INFO_Africa_Gaborone: ZoneInfo = {
'name': 'Africa/Gaborone',
'eras': ZONE_ERAS_Africa_Maputo
}
# Link name: Africa/Harare -> Africa/Maputo
ZONE_INFO_Africa_Harare: ZoneInfo = {
'name': 'Africa/Harare',
'eras': ZONE_ERAS_Africa_Maputo
}
# Link name: Africa/Kampala -> Africa/Nairobi
ZONE_INFO_Africa_Kampala: ZoneInfo = {
'name': 'Africa/Kampala',
'eras': ZONE_ERAS_Africa_Nairobi
}
# Link name: Africa/Kigali -> Africa/Maputo
ZONE_INFO_Africa_Kigali: ZoneInfo = {
'name': 'Africa/Kigali',
'eras': ZONE_ERAS_Africa_Maputo
}
# Link name: Africa/Kinshasa -> Africa/Lagos
ZONE_INFO_Africa_Kinshasa: ZoneInfo = {
'name': 'Africa/Kinshasa',
'eras': ZONE_ERAS_Africa_Lagos
}
# Link name: Africa/Libreville -> Africa/Lagos
ZONE_INFO_Africa_Libreville: ZoneInfo = {
'name': 'Africa/Libreville',
'eras': ZONE_ERAS_Africa_Lagos
}
# Link name: Africa/Lome -> Africa/Abidjan
ZONE_INFO_Africa_Lome: ZoneInfo = {
'name': 'Africa/Lome',
'eras': ZONE_ERAS_Africa_Abidjan
}
# Link name: Africa/Luanda -> Africa/Lagos
ZONE_INFO_Africa_Luanda: ZoneInfo = {
'name': 'Africa/Luanda',
'eras': ZONE_ERAS_Africa_Lagos
}
# Link name: Africa/Lubumbashi -> Africa/Maputo
ZONE_INFO_Africa_Lubumbashi: ZoneInfo = {
'name': 'Africa/Lubumbashi',
'eras': ZONE_ERAS_Africa_Maputo
}
# Link name: Africa/Lusaka -> Africa/Maputo
ZONE_INFO_Africa_Lusaka: ZoneInfo = {
'name': 'Africa/Lusaka',
'eras': ZONE_ERAS_Africa_Maputo
}
# Link name: Africa/Malabo -> Africa/Lagos
ZONE_INFO_Africa_Malabo: ZoneInfo = {
'name': 'Africa/Malabo',
'eras': ZONE_ERAS_Africa_Lagos
}
# Link name: Africa/Maseru -> Africa/Johannesburg
ZONE_INFO_Africa_Maseru: ZoneInfo = {
'name': 'Africa/Maseru',
'eras': ZONE_ERAS_Africa_Johannesburg
}
# Link name: Africa/Mbabane -> Africa/Johannesburg
ZONE_INFO_Africa_Mbabane: ZoneInfo = {
'name': 'Africa/Mbabane',
'eras': ZONE_ERAS_Africa_Johannesburg
}
# Link name: Africa/Mogadishu -> Africa/Nairobi
ZONE_INFO_Africa_Mogadishu: ZoneInfo = {
'name': 'Africa/Mogadishu',
'eras': ZONE_ERAS_Africa_Nairobi
}
# Link name: Africa/Niamey -> Africa/Lagos
ZONE_INFO_Africa_Niamey: ZoneInfo = {
'name': 'Africa/Niamey',
'eras': ZONE_ERAS_Africa_Lagos
}
# Link name: Africa/Nouakchott -> Africa/Abidjan
ZONE_INFO_Africa_Nouakchott: ZoneInfo = {
'name': 'Africa/Nouakchott',
'eras': ZONE_ERAS_Africa_Abidjan
}
# Link name: Africa/Ouagadougou -> Africa/Abidjan
ZONE_INFO_Africa_Ouagadougou: ZoneInfo = {
'name': 'Africa/Ouagadougou',
'eras': ZONE_ERAS_Africa_Abidjan
}
# Link name: Africa/Porto-Novo -> Africa/Lagos
ZONE_INFO_Africa_Porto_Novo: ZoneInfo = {
'name': 'Africa/Porto-Novo',
'eras': ZONE_ERAS_Africa_Lagos
}
# Link name: Africa/Timbuktu -> Africa/Abidjan
ZONE_INFO_Africa_Timbuktu: ZoneInfo = {
'name': 'Africa/Timbuktu',
'eras': ZONE_ERAS_Africa_Abidjan
}
# Link name: America/Anguilla -> America/Puerto_Rico
ZONE_INFO_America_Anguilla: ZoneInfo = {
'name': 'America/Anguilla',
'eras': ZONE_ERAS_America_Puerto_Rico
}
# Link name: America/Antigua -> America/Puerto_Rico
ZONE_INFO_America_Antigua: ZoneInfo = {
'name': 'America/Antigua',
'eras': ZONE_ERAS_America_Puerto_Rico
}
# Link name: America/Argentina/ComodRivadavia -> America/Argentina/Catamarca
ZONE_INFO_America_Argentina_ComodRivadavia: ZoneInfo = {
'name': 'America/Argentina/ComodRivadavia',
'eras': ZONE_ERAS_America_Argentina_Catamarca
}
# Link name: America/Aruba -> America/Puerto_Rico
ZONE_INFO_America_Aruba: ZoneInfo = {
'name': 'America/Aruba',
'eras': ZONE_ERAS_America_Puerto_Rico
}
# Link name: America/Atikokan -> America/Panama
ZONE_INFO_America_Atikokan: ZoneInfo = {
'name': 'America/Atikokan',
'eras': ZONE_ERAS_America_Panama
}
# Link name: America/Atka -> America/Adak
ZONE_INFO_America_Atka: ZoneInfo = {
'name': 'America/Atka',
'eras': ZONE_ERAS_America_Adak
}
# Link name: America/Blanc-Sablon -> America/Puerto_Rico
ZONE_INFO_America_Blanc_Sablon: ZoneInfo = {
'name': 'America/Blanc-Sablon',
'eras': ZONE_ERAS_America_Puerto_Rico
}
# Link name: America/Buenos_Aires -> America/Argentina/Buenos_Aires
ZONE_INFO_America_Buenos_Aires: ZoneInfo = {
'name': 'America/Buenos_Aires',
'eras': ZONE_ERAS_America_Argentina_Buenos_Aires
}
# Link name: America/Catamarca -> America/Argentina/Catamarca
ZONE_INFO_America_Catamarca: ZoneInfo = {
'name': 'America/Catamarca',
'eras': ZONE_ERAS_America_Argentina_Catamarca
}
# Link name: America/Cayman -> America/Panama
ZONE_INFO_America_Cayman: ZoneInfo = {
'name': 'America/Cayman',
'eras': ZONE_ERAS_America_Panama
}
# Link name: America/Coral_Harbour -> America/Panama
ZONE_INFO_America_Coral_Harbour: ZoneInfo = {
'name': 'America/Coral_Harbour',
'eras': ZONE_ERAS_America_Panama
}
# Link name: America/Cordoba -> America/Argentina/Cordoba
ZONE_INFO_America_Cordoba: ZoneInfo = {
'name': 'America/Cordoba',
'eras': ZONE_ERAS_America_Argentina_Cordoba
}
# Link name: America/Creston -> America/Phoenix
ZONE_INFO_America_Creston: ZoneInfo = {
'name': 'America/Creston',
'eras': ZONE_ERAS_America_Phoenix
}
# Link name: America/Curacao -> America/Puerto_Rico
ZONE_INFO_America_Curacao: ZoneInfo = {
'name': 'America/Curacao',
'eras': ZONE_ERAS_America_Puerto_Rico
}
# Link name: America/Dominica -> America/Puerto_Rico
ZONE_INFO_America_Dominica: ZoneInfo = {
'name': 'America/Dominica',
'eras': ZONE_ERAS_America_Puerto_Rico
}
# Link name: America/Ensenada -> America/Tijuana
ZONE_INFO_America_Ensenada: ZoneInfo = {
'name': 'America/Ensenada',
'eras': ZONE_ERAS_America_Tijuana
}
# Link name: America/Fort_Wayne -> America/Indiana/Indianapolis
ZONE_INFO_America_Fort_Wayne: ZoneInfo = {
'name': 'America/Fort_Wayne',
'eras': ZONE_ERAS_America_Indiana_Indianapolis
}
# Link name: America/Godthab -> America/Nuuk
ZONE_INFO_America_Godthab: ZoneInfo = {
'name': 'America/Godthab',
'eras': ZONE_ERAS_America_Nuuk
}
# Link name: America/Grenada -> America/Puerto_Rico
ZONE_INFO_America_Grenada: ZoneInfo = {
'name': 'America/Grenada',
'eras': ZONE_ERAS_America_Puerto_Rico
}
# Link name: America/Guadeloupe -> America/Puerto_Rico
ZONE_INFO_America_Guadeloupe: ZoneInfo = {
'name': 'America/Guadeloupe',
'eras': ZONE_ERAS_America_Puerto_Rico
}
# Link name: America/Indianapolis -> America/Indiana/Indianapolis
ZONE_INFO_America_Indianapolis: ZoneInfo = {
'name': 'America/Indianapolis',
'eras': ZONE_ERAS_America_Indiana_Indianapolis
}
# Link name: America/Jujuy -> America/Argentina/Jujuy
ZONE_INFO_America_Jujuy: ZoneInfo = {
'name': 'America/Jujuy',
'eras': ZONE_ERAS_America_Argentina_Jujuy
}
# Link name: America/Knox_IN -> America/Indiana/Knox
ZONE_INFO_America_Knox_IN: ZoneInfo = {
'name': 'America/Knox_IN',
'eras': ZONE_ERAS_America_Indiana_Knox
}
# Link name: America/Kralendijk -> America/Puerto_Rico
ZONE_INFO_America_Kralendijk: ZoneInfo = {
'name': 'America/Kralendijk',
'eras': ZONE_ERAS_America_Puerto_Rico
}
# Link name: America/Louisville -> America/Kentucky/Louisville
ZONE_INFO_America_Louisville: ZoneInfo = {
'name': 'America/Louisville',
'eras': ZONE_ERAS_America_Kentucky_Louisville
}
# Link name: America/Lower_Princes -> America/Puerto_Rico
ZONE_INFO_America_Lower_Princes: ZoneInfo = {
'name': 'America/Lower_Princes',
'eras': ZONE_ERAS_America_Puerto_Rico
}
# Link name: America/Marigot -> America/Puerto_Rico
ZONE_INFO_America_Marigot: ZoneInfo = {
'name': 'America/Marigot',
'eras': ZONE_ERAS_America_Puerto_Rico
}
# Link name: America/Mendoza -> America/Argentina/Mendoza
ZONE_INFO_America_Mendoza: ZoneInfo = {
'name': 'America/Mendoza',
'eras': ZONE_ERAS_America_Argentina_Mendoza
}
# Link name: America/Montreal -> America/Toronto
ZONE_INFO_America_Montreal: ZoneInfo = {
'name': 'America/Montreal',
'eras': ZONE_ERAS_America_Toronto
}
# Link name: America/Montserrat -> America/Puerto_Rico
ZONE_INFO_America_Montserrat: ZoneInfo = {
'name': 'America/Montserrat',
'eras': ZONE_ERAS_America_Puerto_Rico
}
# Link name: America/Nassau -> America/Toronto
ZONE_INFO_America_Nassau: ZoneInfo = {
'name': 'America/Nassau',
'eras': ZONE_ERAS_America_Toronto
}
# Link name: America/Port_of_Spain -> America/Puerto_Rico
ZONE_INFO_America_Port_of_Spain: ZoneInfo = {
'name': 'America/Port_of_Spain',
'eras': ZONE_ERAS_America_Puerto_Rico
}
# Link name: America/Porto_Acre -> America/Rio_Branco
ZONE_INFO_America_Porto_Acre: ZoneInfo = {
'name': 'America/Porto_Acre',
'eras': ZONE_ERAS_America_Rio_Branco
}
# Link name: America/Rosario -> America/Argentina/Cordoba
ZONE_INFO_America_Rosario: ZoneInfo = {
'name': 'America/Rosario',
'eras': ZONE_ERAS_America_Argentina_Cordoba
}
# Link name: America/Santa_Isabel -> America/Tijuana
ZONE_INFO_America_Santa_Isabel: ZoneInfo = {
'name': 'America/Santa_Isabel',
'eras': ZONE_ERAS_America_Tijuana
}
# Link name: America/Shiprock -> America/Denver
ZONE_INFO_America_Shiprock: ZoneInfo = {
'name': 'America/Shiprock',
'eras': ZONE_ERAS_America_Denver
}
# Link name: America/St_Barthelemy -> America/Puerto_Rico
ZONE_INFO_America_St_Barthelemy: ZoneInfo = {
'name': 'America/St_Barthelemy',
'eras': ZONE_ERAS_America_Puerto_Rico
}
# Link name: America/St_Kitts -> America/Puerto_Rico
ZONE_INFO_America_St_Kitts: ZoneInfo = {
'name': 'America/St_Kitts',
'eras': ZONE_ERAS_America_Puerto_Rico
}
# Link name: America/St_Lucia -> America/Puerto_Rico
ZONE_INFO_America_St_Lucia: ZoneInfo = {
'name': 'America/St_Lucia',
'eras': ZONE_ERAS_America_Puerto_Rico
}
# Link name: America/St_Thomas -> America/Puerto_Rico
ZONE_INFO_America_St_Thomas: ZoneInfo = {
'name': 'America/St_Thomas',
'eras': ZONE_ERAS_America_Puerto_Rico
}
# Link name: America/St_Vincent -> America/Puerto_Rico
ZONE_INFO_America_St_Vincent: ZoneInfo = {
'name': 'America/St_Vincent',
'eras': ZONE_ERAS_America_Puerto_Rico
}
# Link name: America/Tortola -> America/Puerto_Rico
ZONE_INFO_America_Tortola: ZoneInfo = {
'name': 'America/Tortola',
'eras': ZONE_ERAS_America_Puerto_Rico
}
# Link name: America/Virgin -> America/Puerto_Rico
ZONE_INFO_America_Virgin: ZoneInfo = {
'name': 'America/Virgin',
'eras': ZONE_ERAS_America_Puerto_Rico
}
# Link name: Antarctica/DumontDUrville -> Pacific/Port_Moresby
ZONE_INFO_Antarctica_DumontDUrville: ZoneInfo = {
'name': 'Antarctica/DumontDUrville',
'eras': ZONE_ERAS_Pacific_Port_Moresby
}
# Link name: Antarctica/McMurdo -> Pacific/Auckland
ZONE_INFO_Antarctica_McMurdo: ZoneInfo = {
'name': 'Antarctica/McMurdo',
'eras': ZONE_ERAS_Pacific_Auckland
}
# Link name: Antarctica/South_Pole -> Pacific/Auckland
ZONE_INFO_Antarctica_South_Pole: ZoneInfo = {
'name': 'Antarctica/South_Pole',
'eras': ZONE_ERAS_Pacific_Auckland
}
# Link name: Antarctica/Syowa -> Asia/Riyadh
ZONE_INFO_Antarctica_Syowa: ZoneInfo = {
'name': 'Antarctica/Syowa',
'eras': ZONE_ERAS_Asia_Riyadh
}
# Link name: Arctic/Longyearbyen -> Europe/Oslo
ZONE_INFO_Arctic_Longyearbyen: ZoneInfo = {
'name': 'Arctic/Longyearbyen',
'eras': ZONE_ERAS_Europe_Oslo
}
# Link name: Asia/Aden -> Asia/Riyadh
ZONE_INFO_Asia_Aden: ZoneInfo = {
'name': 'Asia/Aden',
'eras': ZONE_ERAS_Asia_Riyadh
}
# Link name: Asia/Ashkhabad -> Asia/Ashgabat
ZONE_INFO_Asia_Ashkhabad: ZoneInfo = {
'name': 'Asia/Ashkhabad',
'eras': ZONE_ERAS_Asia_Ashgabat
}
# Link name: Asia/Bahrain -> Asia/Qatar
ZONE_INFO_Asia_Bahrain: ZoneInfo = {
'name': 'Asia/Bahrain',
'eras': ZONE_ERAS_Asia_Qatar
}
# Link name: Asia/Calcutta -> Asia/Kolkata
ZONE_INFO_Asia_Calcutta: ZoneInfo = {
'name': 'Asia/Calcutta',
'eras': ZONE_ERAS_Asia_Kolkata
}
# Link name: Asia/Chongqing -> Asia/Shanghai
ZONE_INFO_Asia_Chongqing: ZoneInfo = {
'name': 'Asia/Chongqing',
'eras': ZONE_ERAS_Asia_Shanghai
}
# Link name: Asia/Chungking -> Asia/Shanghai
ZONE_INFO_Asia_Chungking: ZoneInfo = {
'name': 'Asia/Chungking',
'eras': ZONE_ERAS_Asia_Shanghai
}
# Link name: Asia/Dacca -> Asia/Dhaka
ZONE_INFO_Asia_Dacca: ZoneInfo = {
'name': 'Asia/Dacca',
'eras': ZONE_ERAS_Asia_Dhaka
}
# Link name: Asia/Harbin -> Asia/Shanghai
ZONE_INFO_Asia_Harbin: ZoneInfo = {
'name': 'Asia/Harbin',
'eras': ZONE_ERAS_Asia_Shanghai
}
# Link name: Asia/Istanbul -> Europe/Istanbul
ZONE_INFO_Asia_Istanbul: ZoneInfo = {
'name': 'Asia/Istanbul',
'eras': ZONE_ERAS_Europe_Istanbul
}
# Link name: Asia/Kashgar -> Asia/Urumqi
ZONE_INFO_Asia_Kashgar: ZoneInfo = {
'name': 'Asia/Kashgar',
'eras': ZONE_ERAS_Asia_Urumqi
}
# Link name: Asia/Katmandu -> Asia/Kathmandu
ZONE_INFO_Asia_Katmandu: ZoneInfo = {
'name': 'Asia/Katmandu',
'eras': ZONE_ERAS_Asia_Kathmandu
}
# Link name: Asia/Kuwait -> Asia/Riyadh
ZONE_INFO_Asia_Kuwait: ZoneInfo = {
'name': 'Asia/Kuwait',
'eras': ZONE_ERAS_Asia_Riyadh
}
# Link name: Asia/Macao -> Asia/Macau
ZONE_INFO_Asia_Macao: ZoneInfo = {
'name': 'Asia/Macao',
'eras': ZONE_ERAS_Asia_Macau
}
# Link name: Asia/Muscat -> Asia/Dubai
ZONE_INFO_Asia_Muscat: ZoneInfo = {
'name': 'Asia/Muscat',
'eras': ZONE_ERAS_Asia_Dubai
}
# Link name: Asia/Phnom_Penh -> Asia/Bangkok
ZONE_INFO_Asia_Phnom_Penh: ZoneInfo = {
'name': 'Asia/Phnom_Penh',
'eras': ZONE_ERAS_Asia_Bangkok
}
# Link name: Asia/Rangoon -> Asia/Yangon
ZONE_INFO_Asia_Rangoon: ZoneInfo = {
'name': 'Asia/Rangoon',
'eras': ZONE_ERAS_Asia_Yangon
}
# Link name: Asia/Saigon -> Asia/Ho_Chi_Minh
ZONE_INFO_Asia_Saigon: ZoneInfo = {
'name': 'Asia/Saigon',
'eras': ZONE_ERAS_Asia_Ho_Chi_Minh
}
# Link name: Asia/Tel_Aviv -> Asia/Jerusalem
ZONE_INFO_Asia_Tel_Aviv: ZoneInfo = {
'name': 'Asia/Tel_Aviv',
'eras': ZONE_ERAS_Asia_Jerusalem
}
# Link name: Asia/Thimbu -> Asia/Thimphu
ZONE_INFO_Asia_Thimbu: ZoneInfo = {
'name': 'Asia/Thimbu',
'eras': ZONE_ERAS_Asia_Thimphu
}
# Link name: Asia/Ujung_Pandang -> Asia/Makassar
ZONE_INFO_Asia_Ujung_Pandang: ZoneInfo = {
'name': 'Asia/Ujung_Pandang',
'eras': ZONE_ERAS_Asia_Makassar
}
# Link name: Asia/Ulan_Bator -> Asia/Ulaanbaatar
ZONE_INFO_Asia_Ulan_Bator: ZoneInfo = {
'name': 'Asia/Ulan_Bator',
'eras': ZONE_ERAS_Asia_Ulaanbaatar
}
# Link name: Asia/Vientiane -> Asia/Bangkok
ZONE_INFO_Asia_Vientiane: ZoneInfo = {
'name': 'Asia/Vientiane',
'eras': ZONE_ERAS_Asia_Bangkok
}
# Link name: Atlantic/Faeroe -> Atlantic/Faroe
ZONE_INFO_Atlantic_Faeroe: ZoneInfo = {
'name': 'Atlantic/Faeroe',
'eras': ZONE_ERAS_Atlantic_Faroe
}
# Link name: Atlantic/Jan_Mayen -> Europe/Oslo
ZONE_INFO_Atlantic_Jan_Mayen: ZoneInfo = {
'name': 'Atlantic/Jan_Mayen',
'eras': ZONE_ERAS_Europe_Oslo
}
# Link name: Atlantic/St_Helena -> Africa/Abidjan
ZONE_INFO_Atlantic_St_Helena: ZoneInfo = {
'name': 'Atlantic/St_Helena',
'eras': ZONE_ERAS_Africa_Abidjan
}
# Link name: Australia/ACT -> Australia/Sydney
ZONE_INFO_Australia_ACT: ZoneInfo = {
'name': 'Australia/ACT',
'eras': ZONE_ERAS_Australia_Sydney
}
# Link name: Australia/Canberra -> Australia/Sydney
ZONE_INFO_Australia_Canberra: ZoneInfo = {
'name': 'Australia/Canberra',
'eras': ZONE_ERAS_Australia_Sydney
}
# Link name: Australia/Currie -> Australia/Hobart
ZONE_INFO_Australia_Currie: ZoneInfo = {
'name': 'Australia/Currie',
'eras': ZONE_ERAS_Australia_Hobart
}
# Link name: Australia/LHI -> Australia/Lord_Howe
ZONE_INFO_Australia_LHI: ZoneInfo = {
'name': 'Australia/LHI',
'eras': ZONE_ERAS_Australia_Lord_Howe
}
# Link name: Australia/NSW -> Australia/Sydney
ZONE_INFO_Australia_NSW: ZoneInfo = {
'name': 'Australia/NSW',
'eras': ZONE_ERAS_Australia_Sydney
}
# Link name: Australia/North -> Australia/Darwin
ZONE_INFO_Australia_North: ZoneInfo = {
'name': 'Australia/North',
'eras': ZONE_ERAS_Australia_Darwin
}
# Link name: Australia/Queensland -> Australia/Brisbane
ZONE_INFO_Australia_Queensland: ZoneInfo = {
'name': 'Australia/Queensland',
'eras': ZONE_ERAS_Australia_Brisbane
}
# Link name: Australia/South -> Australia/Adelaide
ZONE_INFO_Australia_South: ZoneInfo = {
'name': 'Australia/South',
'eras': ZONE_ERAS_Australia_Adelaide
}
# Link name: Australia/Tasmania -> Australia/Hobart
ZONE_INFO_Australia_Tasmania: ZoneInfo = {
'name': 'Australia/Tasmania',
'eras': ZONE_ERAS_Australia_Hobart
}
# Link name: Australia/Victoria -> Australia/Melbourne
ZONE_INFO_Australia_Victoria: ZoneInfo = {
'name': 'Australia/Victoria',
'eras': ZONE_ERAS_Australia_Melbourne
}
# Link name: Australia/West -> Australia/Perth
ZONE_INFO_Australia_West: ZoneInfo = {
'name': 'Australia/West',
'eras': ZONE_ERAS_Australia_Perth
}
# Link name: Australia/Yancowinna -> Australia/Broken_Hill
ZONE_INFO_Australia_Yancowinna: ZoneInfo = {
'name': 'Australia/Yancowinna',
'eras': ZONE_ERAS_Australia_Broken_Hill
}
# Link name: Brazil/Acre -> America/Rio_Branco
ZONE_INFO_Brazil_Acre: ZoneInfo = {
'name': 'Brazil/Acre',
'eras': ZONE_ERAS_America_Rio_Branco
}
# Link name: Brazil/DeNoronha -> America/Noronha
ZONE_INFO_Brazil_DeNoronha: ZoneInfo = {
'name': 'Brazil/DeNoronha',
'eras': ZONE_ERAS_America_Noronha
}
# Link name: Brazil/East -> America/Sao_Paulo
ZONE_INFO_Brazil_East: ZoneInfo = {
'name': 'Brazil/East',
'eras': ZONE_ERAS_America_Sao_Paulo
}
# Link name: Brazil/West -> America/Manaus
ZONE_INFO_Brazil_West: ZoneInfo = {
'name': 'Brazil/West',
'eras': ZONE_ERAS_America_Manaus
}
# Link name: Canada/Atlantic -> America/Halifax
ZONE_INFO_Canada_Atlantic: ZoneInfo = {
'name': 'Canada/Atlantic',
'eras': ZONE_ERAS_America_Halifax
}
# Link name: Canada/Central -> America/Winnipeg
ZONE_INFO_Canada_Central: ZoneInfo = {
'name': 'Canada/Central',
'eras': ZONE_ERAS_America_Winnipeg
}
# Link name: Canada/Eastern -> America/Toronto
ZONE_INFO_Canada_Eastern: ZoneInfo = {
'name': 'Canada/Eastern',
'eras': ZONE_ERAS_America_Toronto
}
# Link name: Canada/Mountain -> America/Edmonton
ZONE_INFO_Canada_Mountain: ZoneInfo = {
'name': 'Canada/Mountain',
'eras': ZONE_ERAS_America_Edmonton
}
# Link name: Canada/Newfoundland -> America/St_Johns
ZONE_INFO_Canada_Newfoundland: ZoneInfo = {
'name': 'Canada/Newfoundland',
'eras': ZONE_ERAS_America_St_Johns
}
# Link name: Canada/Pacific -> America/Vancouver
ZONE_INFO_Canada_Pacific: ZoneInfo = {
'name': 'Canada/Pacific',
'eras': ZONE_ERAS_America_Vancouver
}
# Link name: Canada/Saskatchewan -> America/Regina
ZONE_INFO_Canada_Saskatchewan: ZoneInfo = {
'name': 'Canada/Saskatchewan',
'eras': ZONE_ERAS_America_Regina
}
# Link name: Canada/Yukon -> America/Whitehorse
ZONE_INFO_Canada_Yukon: ZoneInfo = {
'name': 'Canada/Yukon',
'eras': ZONE_ERAS_America_Whitehorse
}
# Link name: Chile/Continental -> America/Santiago
ZONE_INFO_Chile_Continental: ZoneInfo = {
'name': 'Chile/Continental',
'eras': ZONE_ERAS_America_Santiago
}
# Link name: Chile/EasterIsland -> Pacific/Easter
ZONE_INFO_Chile_EasterIsland: ZoneInfo = {
'name': 'Chile/EasterIsland',
'eras': ZONE_ERAS_Pacific_Easter
}
# Link name: Cuba -> America/Havana
ZONE_INFO_Cuba: ZoneInfo = {
'name': 'Cuba',
'eras': ZONE_ERAS_America_Havana
}
# Link name: Egypt -> Africa/Cairo
ZONE_INFO_Egypt: ZoneInfo = {
'name': 'Egypt',
'eras': ZONE_ERAS_Africa_Cairo
}
# Link name: Eire -> Europe/Dublin
ZONE_INFO_Eire: ZoneInfo = {
'name': 'Eire',
'eras': ZONE_ERAS_Europe_Dublin
}
# Link name: Etc/GMT+0 -> Etc/GMT
ZONE_INFO_Etc_GMT_PLUS_0: ZoneInfo = {
'name': 'Etc/GMT+0',
'eras': ZONE_ERAS_Etc_GMT
}
# Link name: Etc/GMT-0 -> Etc/GMT
ZONE_INFO_Etc_GMT_0: ZoneInfo = {
'name': 'Etc/GMT-0',
'eras': ZONE_ERAS_Etc_GMT
}
# Link name: Etc/GMT0 -> Etc/GMT
ZONE_INFO_Etc_GMT0: ZoneInfo = {
'name': 'Etc/GMT0',
'eras': ZONE_ERAS_Etc_GMT
}
# Link name: Etc/Greenwich -> Etc/GMT
ZONE_INFO_Etc_Greenwich: ZoneInfo = {
'name': 'Etc/Greenwich',
'eras': ZONE_ERAS_Etc_GMT
}
# Link name: Etc/UCT -> Etc/UTC
ZONE_INFO_Etc_UCT: ZoneInfo = {
'name': 'Etc/UCT',
'eras': ZONE_ERAS_Etc_UTC
}
# Link name: Etc/Universal -> Etc/UTC
ZONE_INFO_Etc_Universal: ZoneInfo = {
'name': 'Etc/Universal',
'eras': ZONE_ERAS_Etc_UTC
}
# Link name: Etc/Zulu -> Etc/UTC
ZONE_INFO_Etc_Zulu: ZoneInfo = {
'name': 'Etc/Zulu',
'eras': ZONE_ERAS_Etc_UTC
}
# Link name: Europe/Belfast -> Europe/London
ZONE_INFO_Europe_Belfast: ZoneInfo = {
'name': 'Europe/Belfast',
'eras': ZONE_ERAS_Europe_London
}
# Link name: Europe/Bratislava -> Europe/Prague
ZONE_INFO_Europe_Bratislava: ZoneInfo = {
'name': 'Europe/Bratislava',
'eras': ZONE_ERAS_Europe_Prague
}
# Link name: Europe/Busingen -> Europe/Zurich
ZONE_INFO_Europe_Busingen: ZoneInfo = {
'name': 'Europe/Busingen',
'eras': ZONE_ERAS_Europe_Zurich
}
# Link name: Europe/Guernsey -> Europe/London
ZONE_INFO_Europe_Guernsey: ZoneInfo = {
'name': 'Europe/Guernsey',
'eras': ZONE_ERAS_Europe_London
}
# Link name: Europe/Isle_of_Man -> Europe/London
ZONE_INFO_Europe_Isle_of_Man: ZoneInfo = {
'name': 'Europe/Isle_of_Man',
'eras': ZONE_ERAS_Europe_London
}
# Link name: Europe/Jersey -> Europe/London
ZONE_INFO_Europe_Jersey: ZoneInfo = {
'name': 'Europe/Jersey',
'eras': ZONE_ERAS_Europe_London
}
# Link name: Europe/Ljubljana -> Europe/Belgrade
ZONE_INFO_Europe_Ljubljana: ZoneInfo = {
'name': 'Europe/Ljubljana',
'eras': ZONE_ERAS_Europe_Belgrade
}
# Link name: Europe/Mariehamn -> Europe/Helsinki
ZONE_INFO_Europe_Mariehamn: ZoneInfo = {
'name': 'Europe/Mariehamn',
'eras': ZONE_ERAS_Europe_Helsinki
}
# Link name: Europe/Nicosia -> Asia/Nicosia
ZONE_INFO_Europe_Nicosia: ZoneInfo = {
'name': 'Europe/Nicosia',
'eras': ZONE_ERAS_Asia_Nicosia
}
# Link name: Europe/Podgorica -> Europe/Belgrade
ZONE_INFO_Europe_Podgorica: ZoneInfo = {
'name': 'Europe/Podgorica',
'eras': ZONE_ERAS_Europe_Belgrade
}
# Link name: Europe/San_Marino -> Europe/Rome
ZONE_INFO_Europe_San_Marino: ZoneInfo = {
'name': 'Europe/San_Marino',
'eras': ZONE_ERAS_Europe_Rome
}
# Link name: Europe/Sarajevo -> Europe/Belgrade
ZONE_INFO_Europe_Sarajevo: ZoneInfo = {
'name': 'Europe/Sarajevo',
'eras': ZONE_ERAS_Europe_Belgrade
}
# Link name: Europe/Skopje -> Europe/Belgrade
ZONE_INFO_Europe_Skopje: ZoneInfo = {
'name': 'Europe/Skopje',
'eras': ZONE_ERAS_Europe_Belgrade
}
# Link name: Europe/Tiraspol -> Europe/Chisinau
ZONE_INFO_Europe_Tiraspol: ZoneInfo = {
'name': 'Europe/Tiraspol',
'eras': ZONE_ERAS_Europe_Chisinau
}
# Link name: Europe/Vaduz -> Europe/Zurich
ZONE_INFO_Europe_Vaduz: ZoneInfo = {
'name': 'Europe/Vaduz',
'eras': ZONE_ERAS_Europe_Zurich
}
# Link name: Europe/Vatican -> Europe/Rome
ZONE_INFO_Europe_Vatican: ZoneInfo = {
'name': 'Europe/Vatican',
'eras': ZONE_ERAS_Europe_Rome
}
# Link name: Europe/Zagreb -> Europe/Belgrade
ZONE_INFO_Europe_Zagreb: ZoneInfo = {
'name': 'Europe/Zagreb',
'eras': ZONE_ERAS_Europe_Belgrade
}
# Link name: GB -> Europe/London
ZONE_INFO_GB: ZoneInfo = {
'name': 'GB',
'eras': ZONE_ERAS_Europe_London
}
# Link name: GB-Eire -> Europe/London
ZONE_INFO_GB_Eire: ZoneInfo = {
'name': 'GB-Eire',
'eras': ZONE_ERAS_Europe_London
}
# Link name: GMT -> Etc/GMT
ZONE_INFO_GMT: ZoneInfo = {
'name': 'GMT',
'eras': ZONE_ERAS_Etc_GMT
}
# Link name: GMT+0 -> Etc/GMT
ZONE_INFO_GMT_PLUS_0: ZoneInfo = {
'name': 'GMT+0',
'eras': ZONE_ERAS_Etc_GMT
}
# Link name: GMT-0 -> Etc/GMT
ZONE_INFO_GMT_0: ZoneInfo = {
'name': 'GMT-0',
'eras': ZONE_ERAS_Etc_GMT
}
# Link name: GMT0 -> Etc/GMT
ZONE_INFO_GMT0: ZoneInfo = {
'name': 'GMT0',
'eras': ZONE_ERAS_Etc_GMT
}
# Link name: Greenwich -> Etc/GMT
ZONE_INFO_Greenwich: ZoneInfo = {
'name': 'Greenwich',
'eras': ZONE_ERAS_Etc_GMT
}
# Link name: Hongkong -> Asia/Hong_Kong
ZONE_INFO_Hongkong: ZoneInfo = {
'name': 'Hongkong',
'eras': ZONE_ERAS_Asia_Hong_Kong
}
# Link name: Iceland -> Atlantic/Reykjavik
ZONE_INFO_Iceland: ZoneInfo = {
'name': 'Iceland',
'eras': ZONE_ERAS_Atlantic_Reykjavik
}
# Link name: Indian/Antananarivo -> Africa/Nairobi
ZONE_INFO_Indian_Antananarivo: ZoneInfo = {
'name': 'Indian/Antananarivo',
'eras': ZONE_ERAS_Africa_Nairobi
}
# Link name: Indian/Comoro -> Africa/Nairobi
ZONE_INFO_Indian_Comoro: ZoneInfo = {
'name': 'Indian/Comoro',
'eras': ZONE_ERAS_Africa_Nairobi
}
# Link name: Indian/Mayotte -> Africa/Nairobi
ZONE_INFO_Indian_Mayotte: ZoneInfo = {
'name': 'Indian/Mayotte',
'eras': ZONE_ERAS_Africa_Nairobi
}
# Link name: Iran -> Asia/Tehran
ZONE_INFO_Iran: ZoneInfo = {
'name': 'Iran',
'eras': ZONE_ERAS_Asia_Tehran
}
# Link name: Israel -> Asia/Jerusalem
ZONE_INFO_Israel: ZoneInfo = {
'name': 'Israel',
'eras': ZONE_ERAS_Asia_Jerusalem
}
# Link name: Jamaica -> America/Jamaica
ZONE_INFO_Jamaica: ZoneInfo = {
'name': 'Jamaica',
'eras': ZONE_ERAS_America_Jamaica
}
# Link name: Japan -> Asia/Tokyo
ZONE_INFO_Japan: ZoneInfo = {
'name': 'Japan',
'eras': ZONE_ERAS_Asia_Tokyo
}
# Link name: Kwajalein -> Pacific/Kwajalein
ZONE_INFO_Kwajalein: ZoneInfo = {
'name': 'Kwajalein',
'eras': ZONE_ERAS_Pacific_Kwajalein
}
# Link name: Libya -> Africa/Tripoli
ZONE_INFO_Libya: ZoneInfo = {
'name': 'Libya',
'eras': ZONE_ERAS_Africa_Tripoli
}
# Link name: Mexico/BajaNorte -> America/Tijuana
ZONE_INFO_Mexico_BajaNorte: ZoneInfo = {
'name': 'Mexico/BajaNorte',
'eras': ZONE_ERAS_America_Tijuana
}
# Link name: Mexico/BajaSur -> America/Mazatlan
ZONE_INFO_Mexico_BajaSur: ZoneInfo = {
'name': 'Mexico/BajaSur',
'eras': ZONE_ERAS_America_Mazatlan
}
# Link name: Mexico/General -> America/Mexico_City
ZONE_INFO_Mexico_General: ZoneInfo = {
'name': 'Mexico/General',
'eras': ZONE_ERAS_America_Mexico_City
}
# Link name: NZ -> Pacific/Auckland
ZONE_INFO_NZ: ZoneInfo = {
'name': 'NZ',
'eras': ZONE_ERAS_Pacific_Auckland
}
# Link name: NZ-CHAT -> Pacific/Chatham
ZONE_INFO_NZ_CHAT: ZoneInfo = {
'name': 'NZ-CHAT',
'eras': ZONE_ERAS_Pacific_Chatham
}
# Link name: Navajo -> America/Denver
ZONE_INFO_Navajo: ZoneInfo = {
'name': 'Navajo',
'eras': ZONE_ERAS_America_Denver
}
# Link name: PRC -> Asia/Shanghai
ZONE_INFO_PRC: ZoneInfo = {
'name': 'PRC',
'eras': ZONE_ERAS_Asia_Shanghai
}
# Link name: Pacific/Enderbury -> Pacific/Kanton
ZONE_INFO_Pacific_Enderbury: ZoneInfo = {
'name': 'Pacific/Enderbury',
'eras': ZONE_ERAS_Pacific_Kanton
}
# Link name: Pacific/Johnston -> Pacific/Honolulu
ZONE_INFO_Pacific_Johnston: ZoneInfo = {
'name': 'Pacific/Johnston',
'eras': ZONE_ERAS_Pacific_Honolulu
}
# Link name: Pacific/Midway -> Pacific/Pago_Pago
ZONE_INFO_Pacific_Midway: ZoneInfo = {
'name': 'Pacific/Midway',
'eras': ZONE_ERAS_Pacific_Pago_Pago
}
# Link name: Pacific/Ponape -> Pacific/Pohnpei
ZONE_INFO_Pacific_Ponape: ZoneInfo = {
'name': 'Pacific/Ponape',
'eras': ZONE_ERAS_Pacific_Pohnpei
}
# Link name: Pacific/Saipan -> Pacific/Guam
ZONE_INFO_Pacific_Saipan: ZoneInfo = {
'name': 'Pacific/Saipan',
'eras': ZONE_ERAS_Pacific_Guam
}
# Link name: Pacific/Samoa -> Pacific/Pago_Pago
ZONE_INFO_Pacific_Samoa: ZoneInfo = {
'name': 'Pacific/Samoa',
'eras': ZONE_ERAS_Pacific_Pago_Pago
}
# Link name: Pacific/Truk -> Pacific/Chuuk
ZONE_INFO_Pacific_Truk: ZoneInfo = {
'name': 'Pacific/Truk',
'eras': ZONE_ERAS_Pacific_Chuuk
}
# Link name: Pacific/Yap -> Pacific/Chuuk
ZONE_INFO_Pacific_Yap: ZoneInfo = {
'name': 'Pacific/Yap',
'eras': ZONE_ERAS_Pacific_Chuuk
}
# Link name: Poland -> Europe/Warsaw
ZONE_INFO_Poland: ZoneInfo = {
'name': 'Poland',
'eras': ZONE_ERAS_Europe_Warsaw
}
# Link name: Portugal -> Europe/Lisbon
ZONE_INFO_Portugal: ZoneInfo = {
'name': 'Portugal',
'eras': ZONE_ERAS_Europe_Lisbon
}
# Link name: ROC -> Asia/Taipei
ZONE_INFO_ROC: ZoneInfo = {
'name': 'ROC',
'eras': ZONE_ERAS_Asia_Taipei
}
# Link name: ROK -> Asia/Seoul
ZONE_INFO_ROK: ZoneInfo = {
'name': 'ROK',
'eras': ZONE_ERAS_Asia_Seoul
}
# Link name: Singapore -> Asia/Singapore
ZONE_INFO_Singapore: ZoneInfo = {
'name': 'Singapore',
'eras': ZONE_ERAS_Asia_Singapore
}
# Link name: Turkey -> Europe/Istanbul
ZONE_INFO_Turkey: ZoneInfo = {
'name': 'Turkey',
'eras': ZONE_ERAS_Europe_Istanbul
}
# Link name: UCT -> Etc/UTC
ZONE_INFO_UCT: ZoneInfo = {
'name': 'UCT',
'eras': ZONE_ERAS_Etc_UTC
}
# Link name: US/Alaska -> America/Anchorage
ZONE_INFO_US_Alaska: ZoneInfo = {
'name': 'US/Alaska',
'eras': ZONE_ERAS_America_Anchorage
}
# Link name: US/Aleutian -> America/Adak
ZONE_INFO_US_Aleutian: ZoneInfo = {
'name': 'US/Aleutian',
'eras': ZONE_ERAS_America_Adak
}
# Link name: US/Arizona -> America/Phoenix
ZONE_INFO_US_Arizona: ZoneInfo = {
'name': 'US/Arizona',
'eras': ZONE_ERAS_America_Phoenix
}
# Link name: US/Central -> America/Chicago
ZONE_INFO_US_Central: ZoneInfo = {
'name': 'US/Central',
'eras': ZONE_ERAS_America_Chicago
}
# Link name: US/East-Indiana -> America/Indiana/Indianapolis
ZONE_INFO_US_East_Indiana: ZoneInfo = {
'name': 'US/East-Indiana',
'eras': ZONE_ERAS_America_Indiana_Indianapolis
}
# Link name: US/Eastern -> America/New_York
ZONE_INFO_US_Eastern: ZoneInfo = {
'name': 'US/Eastern',
'eras': ZONE_ERAS_America_New_York
}
# Link name: US/Hawaii -> Pacific/Honolulu
ZONE_INFO_US_Hawaii: ZoneInfo = {
'name': 'US/Hawaii',
'eras': ZONE_ERAS_Pacific_Honolulu
}
# Link name: US/Indiana-Starke -> America/Indiana/Knox
ZONE_INFO_US_Indiana_Starke: ZoneInfo = {
'name': 'US/Indiana-Starke',
'eras': ZONE_ERAS_America_Indiana_Knox
}
# Link name: US/Michigan -> America/Detroit
ZONE_INFO_US_Michigan: ZoneInfo = {
'name': 'US/Michigan',
'eras': ZONE_ERAS_America_Detroit
}
# Link name: US/Mountain -> America/Denver
ZONE_INFO_US_Mountain: ZoneInfo = {
'name': 'US/Mountain',
'eras': ZONE_ERAS_America_Denver
}
# Link name: US/Pacific -> America/Los_Angeles
ZONE_INFO_US_Pacific: ZoneInfo = {
'name': 'US/Pacific',
'eras': ZONE_ERAS_America_Los_Angeles
}
# Link name: US/Samoa -> Pacific/Pago_Pago
ZONE_INFO_US_Samoa: ZoneInfo = {
'name': 'US/Samoa',
'eras': ZONE_ERAS_Pacific_Pago_Pago
}
# Link name: UTC -> Etc/UTC
ZONE_INFO_UTC: ZoneInfo = {
'name': 'UTC',
'eras': ZONE_ERAS_Etc_UTC
}
# Link name: Universal -> Etc/UTC
ZONE_INFO_Universal: ZoneInfo = {
'name': 'Universal',
'eras': ZONE_ERAS_Etc_UTC
}
# Link name: W-SU -> Europe/Moscow
ZONE_INFO_W_SU: ZoneInfo = {
'name': 'W-SU',
'eras': ZONE_ERAS_Europe_Moscow
}
# Link name: Zulu -> Etc/UTC
ZONE_INFO_Zulu: ZoneInfo = {
'name': 'Zulu',
'eras': ZONE_ERAS_Etc_UTC
}
# ---------------------------------------------------------------------------
# Unsuported zones: 0
# ---------------------------------------------------------------------------
# ---------------------------------------------------------------------------
# Notable zones: 4
# ---------------------------------------------------------------------------
# Africa/Johannesburg (RULES not fixed but FORMAT is missing '%' or '/')
# Antarctica/Casey (UNTIL '0:01' not on 15-minute boundary)
# Asia/Gaza (UNTIL '0:01' not on 15-minute boundary)
# Pacific/Kiritimati (STDOFF '-10:40' not on 15-minute boundary)
# ---------------------------------------------------------------------------
# Unsuported links: 0
# ---------------------------------------------------------------------------
# ---------------------------------------------------------------------------
# Notable links: 0
# ---------------------------------------------------------------------------
| 27.121307
| 77
| 0.461178
| 52,559
| 526,072
| 4.290911
| 0.018855
| 0.06456
| 0.079977
| 0.082607
| 0.812762
| 0.766093
| 0.720857
| 0.700004
| 0.677292
| 0.660718
| 0
| 0.07504
| 0.299128
| 526,072
| 19,396
| 78
| 27.122706
| 0.536624
| 0.24701
| 0
| 0.657664
| 1
| 0
| 0.34652
| 0.00237
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.000203
| 0
| 0.000203
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
776ced13ccc6519dcd5ebbc368fbb64d53643005
| 229
|
py
|
Python
|
src/torchprune/torchprune/method/base_sens/__init__.py
|
dani3l125/torchprune
|
f2589ec7514bd531ddaa7da3aed6388bb13712d3
|
[
"MIT"
] | 74
|
2021-03-05T01:25:00.000Z
|
2022-03-26T06:15:32.000Z
|
src/torchprune/torchprune/method/base_sens/__init__.py
|
dani3l125/torchprune
|
f2589ec7514bd531ddaa7da3aed6388bb13712d3
|
[
"MIT"
] | 4
|
2021-05-25T06:01:22.000Z
|
2022-01-24T22:38:09.000Z
|
src/torchprune/torchprune/method/base_sens/__init__.py
|
dani3l125/torchprune
|
f2589ec7514bd531ddaa7da3aed6388bb13712d3
|
[
"MIT"
] | 7
|
2021-03-24T14:14:32.000Z
|
2022-02-19T17:27:56.000Z
|
# flake8: noqa: F403,F401
"""Base package containing abstract specialization for sensitivity."""
from .base_sens_net import BaseSensNet
from .base_sens_pruner import BaseSensPruner
from .base_sens_tracker import BaseSensTracker
| 32.714286
| 70
| 0.834061
| 29
| 229
| 6.37931
| 0.689655
| 0.12973
| 0.194595
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.034146
| 0.104803
| 229
| 6
| 71
| 38.166667
| 0.868293
| 0.388646
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
77a1f33678d776bd69bad59488bb678db485362a
| 419
|
py
|
Python
|
my_happy_pandas/core/reshape/api.py
|
ggservice007/my-happy-pandas
|
63145d54e452177f7d5b2fc8fdbc1fdf37dd5b16
|
[
"Apache-2.0"
] | null | null | null |
my_happy_pandas/core/reshape/api.py
|
ggservice007/my-happy-pandas
|
63145d54e452177f7d5b2fc8fdbc1fdf37dd5b16
|
[
"Apache-2.0"
] | null | null | null |
my_happy_pandas/core/reshape/api.py
|
ggservice007/my-happy-pandas
|
63145d54e452177f7d5b2fc8fdbc1fdf37dd5b16
|
[
"Apache-2.0"
] | null | null | null |
# flake8: noqa
from my_happy_pandas.core.reshape.concat import concat
from my_happy_pandas.core.reshape.melt import lreshape, melt, wide_to_long
from my_happy_pandas.core.reshape.merge import merge, merge_asof, merge_ordered
from my_happy_pandas.core.reshape.pivot import crosstab, pivot, pivot_table
from my_happy_pandas.core.reshape.reshape import get_dummies
from my_happy_pandas.core.reshape.tile import cut, qcut
| 46.555556
| 79
| 0.852029
| 69
| 419
| 4.913043
| 0.376812
| 0.106195
| 0.19469
| 0.300885
| 0.495575
| 0.495575
| 0
| 0
| 0
| 0
| 0
| 0.002604
| 0.083532
| 419
| 8
| 80
| 52.375
| 0.880208
| 0.02864
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
77ad6972bae9bf6bbf1d16a1e3dc613e7be417a9
| 77
|
py
|
Python
|
test/settings/test_kafka_producer_config.py
|
DebasishMaji/PI
|
e293982cae8f8755d28d7b3de22966dc74759b90
|
[
"Apache-2.0"
] | null | null | null |
test/settings/test_kafka_producer_config.py
|
DebasishMaji/PI
|
e293982cae8f8755d28d7b3de22966dc74759b90
|
[
"Apache-2.0"
] | null | null | null |
test/settings/test_kafka_producer_config.py
|
DebasishMaji/PI
|
e293982cae8f8755d28d7b3de22966dc74759b90
|
[
"Apache-2.0"
] | null | null | null |
import unittest
class TestKafkaProducerConfig(unittest.TestCase):
pass
| 12.833333
| 49
| 0.805195
| 7
| 77
| 8.857143
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 77
| 5
| 50
| 15.4
| 0.939394
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.333333
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
|
0
| 6
|
77ff8ecbb44e45afe9d42e6d5c6c78830af2d923
| 186
|
py
|
Python
|
mydemoapp/admin.py
|
Kartik-CR7/MyDemoProject
|
6415b70ca8279964fc96fa4df2ee320a915f6e25
|
[
"bzip2-1.0.6"
] | null | null | null |
mydemoapp/admin.py
|
Kartik-CR7/MyDemoProject
|
6415b70ca8279964fc96fa4df2ee320a915f6e25
|
[
"bzip2-1.0.6"
] | 8
|
2021-03-19T04:46:59.000Z
|
2022-03-12T00:10:00.000Z
|
mydemoapp/admin.py
|
Kartik-CR7/MyDemoProject
|
6415b70ca8279964fc96fa4df2ee320a915f6e25
|
[
"bzip2-1.0.6"
] | null | null | null |
from django.contrib import admin
from mydemoapp.models import Like,BT_Contact,BT_Imageupload
admin.site.register(Like)
admin.site.register(BT_Contact)
admin.site.register(BT_Imageupload)
| 37.2
| 59
| 0.860215
| 28
| 186
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| 0.464286
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| 0.326923
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| 5
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|
0
| 6
|
bb1bc1393e67c2415015bf11265c0d3a06cf921d
| 94
|
py
|
Python
|
server/__init__.py
|
grsakea/pyt
|
af8696e5b25c4f60008780e2b9ae1efa74aaec20
|
[
"MIT"
] | 1
|
2015-05-05T05:01:32.000Z
|
2015-05-05T05:01:32.000Z
|
server/__init__.py
|
grsakea/pyt
|
af8696e5b25c4f60008780e2b9ae1efa74aaec20
|
[
"MIT"
] | null | null | null |
server/__init__.py
|
grsakea/pyt
|
af8696e5b25c4f60008780e2b9ae1efa74aaec20
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python3
from server.server import startServer
def main():
startServer()
| 11.75
| 37
| 0.712766
| 12
| 94
| 5.583333
| 0.833333
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| 0.170213
| 94
| 7
| 38
| 13.428571
| 0.846154
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| 1
| 0
|
0
| 6
|
bb5d6831406e3877ca88687211a3376e70fe7c62
| 2,292
|
py
|
Python
|
tests/test_flask_restx_proxy.py
|
Colin-b/layab
|
1b700f2681b39f77f35be56564990d6e3fe982d3
|
[
"MIT"
] | 3
|
2019-11-29T18:39:51.000Z
|
2019-12-14T22:22:52.000Z
|
tests/test_flask_restx_proxy.py
|
Colin-b/layab
|
1b700f2681b39f77f35be56564990d6e3fe982d3
|
[
"MIT"
] | 4
|
2019-11-29T14:10:28.000Z
|
2020-10-09T13:25:09.000Z
|
tests/test_flask_restx_proxy.py
|
Colin-b/layab
|
1b700f2681b39f77f35be56564990d6e3fe982d3
|
[
"MIT"
] | null | null | null |
import flask
from layab.flask_restx import enrich_flask
def test_default():
app = flask.Flask(__name__)
enrich_flask(app, cors=False, compress_mimetypes=None, reverse_proxy=True)
@app.route("/proxy")
def proxy():
return flask.jsonify(
{"scheme": flask.request.scheme, "client": flask.request.remote_addr}
)
with app.test_client() as client:
response = client.get("/proxy")
assert response.status_code == 200
assert response.json == {"client": "127.0.0.1", "scheme": "http"}
def test_forwarded_proto():
app = flask.Flask(__name__)
enrich_flask(app, cors=False, compress_mimetypes=None, reverse_proxy=True)
@app.route("/proxy")
def proxy():
return flask.jsonify(
{"scheme": flask.request.scheme, "client": flask.request.remote_addr}
)
with app.test_client() as client:
response = client.get("/proxy", headers={"x-forwarded-proto": "https"})
assert response.status_code == 200
assert response.json == {"client": "127.0.0.1", "scheme": "https"}
def test_forwarded_for():
app = flask.Flask(__name__)
enrich_flask(app, cors=False, compress_mimetypes=None, reverse_proxy=True)
@app.route("/proxy")
def proxy():
return flask.jsonify(
{"scheme": flask.request.scheme, "client": flask.request.remote_addr}
)
with app.test_client() as client:
response = client.get("/proxy", headers={"x-forwarded-for": "my_original_url"})
assert response.status_code == 200
assert response.json == {"client": "my_original_url", "scheme": "http"}
def test_forwarded_proto_and_for():
app = flask.Flask(__name__)
enrich_flask(app, cors=False, compress_mimetypes=None, reverse_proxy=True)
@app.route("/proxy")
def proxy():
return flask.jsonify(
{"scheme": flask.request.scheme, "client": flask.request.remote_addr}
)
with app.test_client() as client:
response = client.get(
"/proxy",
headers={
"x-forwarded-proto": "https",
"x-forwarded-for": "my_original_url",
},
)
assert response.status_code == 200
assert response.json == {"client": "my_original_url", "scheme": "https"}
| 31.39726
| 87
| 0.630017
| 275
| 2,292
| 5.036364
| 0.181818
| 0.069314
| 0.037545
| 0.049097
| 0.935018
| 0.935018
| 0.898917
| 0.898917
| 0.898917
| 0.898917
| 0
| 0.013498
| 0.224258
| 2,292
| 72
| 88
| 31.833333
| 0.765467
| 0
| 0
| 0.571429
| 0
| 0
| 0.136998
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 1
| 0.142857
| false
| 0
| 0.035714
| 0.071429
| 0.25
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
249e44af6c450931633570b57e89134dabc29457
| 40
|
py
|
Python
|
context_paper/dataloader/__init__.py
|
peternara/Fashion-AI-compatibility-
|
14487fea9459eb2ff2e57c76d2941a274400c42b
|
[
"Apache-2.0"
] | 3
|
2020-06-29T08:27:40.000Z
|
2022-03-13T00:41:41.000Z
|
context_paper/dataloader/__init__.py
|
peternara/Fashion-AI-compatibility-
|
14487fea9459eb2ff2e57c76d2941a274400c42b
|
[
"Apache-2.0"
] | 1
|
2020-12-22T16:34:25.000Z
|
2020-12-22T16:34:25.000Z
|
context_paper/dataloader/__init__.py
|
peternara/Fashion-AI-compatibility-
|
14487fea9459eb2ff2e57c76d2941a274400c42b
|
[
"Apache-2.0"
] | 4
|
2020-04-08T02:53:01.000Z
|
2021-06-03T14:00:19.000Z
|
from .polyvore import DataLoaderPolyvore
| 40
| 40
| 0.9
| 4
| 40
| 9
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.075
| 40
| 1
| 40
| 40
| 0.972973
| 0
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| 0
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| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
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| 1
| 1
| 0
| null | 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
24c9bf2d07c8b152abfaf569b53dde8ca2c41ccb
| 93
|
py
|
Python
|
testapps/test_pillowtop/tests/__init__.py
|
johan--/commcare-hq
|
86ee99c54f55ee94e4c8f2f6f30fc44e10e69ebd
|
[
"BSD-3-Clause"
] | null | null | null |
testapps/test_pillowtop/tests/__init__.py
|
johan--/commcare-hq
|
86ee99c54f55ee94e4c8f2f6f30fc44e10e69ebd
|
[
"BSD-3-Clause"
] | 1
|
2022-03-12T01:03:25.000Z
|
2022-03-12T01:03:25.000Z
|
testapps/test_pillowtop/tests/__init__.py
|
johan--/commcare-hq
|
86ee99c54f55ee94e4c8f2f6f30fc44e10e69ebd
|
[
"BSD-3-Clause"
] | null | null | null |
from .test_changes import *
from .test_require_elastic import *
from .test_settings import *
| 23.25
| 35
| 0.806452
| 13
| 93
| 5.461538
| 0.538462
| 0.338028
| 0.394366
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.129032
| 93
| 3
| 36
| 31
| 0.876543
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 6
|
24d0e75389d3523ffa061ee5ef3d33e48ae6f370
| 205
|
py
|
Python
|
l10n_thai_app/l10n_thai_app/doctype/th_vat_settings/th_vat_settings.py
|
ecosoft-odoo/l10n_thai_app
|
adcef3bf4dc352cba9849e08c9abdce96c5d6a5f
|
[
"MIT"
] | 1
|
2022-01-31T09:27:42.000Z
|
2022-01-31T09:27:42.000Z
|
l10n_thai_app/l10n_thai_app/doctype/th_vat_settings/th_vat_settings.py
|
ecosoft-odoo/l10n_thai_app
|
adcef3bf4dc352cba9849e08c9abdce96c5d6a5f
|
[
"MIT"
] | null | null | null |
l10n_thai_app/l10n_thai_app/doctype/th_vat_settings/th_vat_settings.py
|
ecosoft-odoo/l10n_thai_app
|
adcef3bf4dc352cba9849e08c9abdce96c5d6a5f
|
[
"MIT"
] | 1
|
2022-01-31T09:27:47.000Z
|
2022-01-31T09:27:47.000Z
|
# Copyright (c) 2022, Ecosoft Co., Ltd. and contributors
# For license information, please see license.txt
# import frappe
from frappe.model.document import Document
class THVATSettings(Document):
pass
| 22.777778
| 56
| 0.780488
| 27
| 205
| 5.925926
| 0.814815
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.022727
| 0.141463
| 205
| 8
| 57
| 25.625
| 0.886364
| 0.565854
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.333333
| 0.333333
| 0
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| 0
| 1
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| 0
| null | 0
| 0
| 0
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| 0
| 0
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| 0
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| 1
| 0
| 0
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| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
|
0
| 6
|
7073a3a20874472216a9a68771ca190aefcf14c9
| 58,587
|
py
|
Python
|
change-header.py
|
Hugo-Gao/Linux-tools
|
8ba51927693599993bff651539ddcd4e2214106f
|
[
"Apache-2.0"
] | null | null | null |
change-header.py
|
Hugo-Gao/Linux-tools
|
8ba51927693599993bff651539ddcd4e2214106f
|
[
"Apache-2.0"
] | null | null | null |
change-header.py
|
Hugo-Gao/Linux-tools
|
8ba51927693599993bff651539ddcd4e2214106f
|
[
"Apache-2.0"
] | null | null | null |
from bs4 import BeautifulSoup
import os
import html
headStr = '''<meta charset="utf-8"><meta name="Keywords" content="极客时间,极客邦,极客邦科技,极客邦控股,极客时间App,专栏订阅,极客新闻,二叉树,极客Live,QCon,左耳听风,AI技术内参,大航海时代,陈皓,徐飞,洪亮劼,霍泰稳,池建强,Selina,Gary,InfoQ,极客搜索"><meta name="description" content="极客时间是极客邦科技出品的一款 IT 内容知识服务 App，内容包含专栏订阅、极客新闻、热点专题、直播、视频和音频等多形式的知识内容，并设有陈皓专栏、徐飞专栏、洪亮劼专栏等专栏供订阅。"><link rel="apple-touch-icon" sizes="180x180" href="//static001.geekbang.org/static/icon/time/apple-touch-icon.png"><link rel="icon" type="image/png" sizes="32x32" href="//static001.geekbang.org/static/icon/time/favicon-32x32.png"><link rel="icon" type="image/png" sizes="16x16" href="//static001.geekbang.org/static/icon/time/favicon-16x16.png"><meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1"><meta name="viewport" content="width=device-width,initial-scale=1,maximum-scale=1,minimum-scale=1,user-scalable=no,viewport-fit=cover"><meta name="format-detection" content="telephone=no"><title>极客时间 | 技术与商业案例解读</title><script async="" src="https://www.google-analytics.com/analytics.js"></script><script type="text/javascript" async="" src="https://s1.pstatp.com/bytecom/resource/track_log/src/toutiao-track-log.js"></script><script type="text/javascript" src="https://res.wx.qq.com/open/js/jweixin-1.3.2.js"></script><script type="text/javascript">if(!('flex' in document.documentElement.style) && !navigator.userAgent.match(/spider|googlebot|bingbot|geekbang|yahoo! Slurp/i)){
window.location.href = 'https://static001.geekbang.org/static/common/browser_update/index.html'
}</script><script type="text/javascript">;(function(root) {
root._tt_config = true;
var ta = document.createElement('script'); ta.type = 'text/javascript'; ta.async = true;
ta.src = document.location.protocol + '//' + 's1.pstatp.com/bytecom/resource/track_log/src/toutiao-track-log.js';
ta.onerror = function () {
var request = new XMLHttpRequest();
var web_url = window.encodeURIComponent(window.location.href);
var js_url = ta.src;
var url = '//ad.toutiao.com/link_monitor/cdn_failed?web_url=' + web_url + '&js_url=' + js_url + '&convert_id=1606932352132152';
request.open('GET', url, true);
request.send(null);
}
var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ta, s);
})(window);</script><link href="https://static001.geekbang.org/static/time/css/app.b230db929e53af87acd535637f5011b8.css" rel="stylesheet"><style type="text/css">.hljs-ln{border-collapse:collapse}.hljs-ln td{padding:0}.hljs-ln-n:before{content:attr(data-line-number)}</style><style type="text/css">#iv-container{position:fixed;background:#0d0d0d;width:100%;height:100%;top:0;left:0;display:none;z-index:1000}.iv-container{overflow:hidden}.iv-close{width:26px;height:26px;position:absolute;right:20px;top:20px;cursor:pointer;text-align:center;overflow:hidden;text-shadow:0 0 3px #6d6d6d;-webkit-transition:all .2s ease;-moz-transition:all ease .2s;-o-transition:all ease .2s;transition:all .2s ease}.iv-close:after,.iv-close:before{content:"";height:2px;width:26px;background:#fff;position:absolute;left:0;top:50%;margin-top:-2px;border-radius:2px}.iv-close:before{-webkit-transform:rotate(45deg);-moz-transform:rotate(45deg);-ms-transform:rotate(45deg);-o-transform:rotate(45deg);transform:rotate(45deg)}.iv-close:after{-webkit-transform:rotate(-45deg);-moz-transform:rotate(-45deg);-ms-transform:rotate(-45deg);-o-transform:rotate(-45deg);transform:rotate(-45deg)}.iv-close:hover{-webkit-transform:rotate(90deg);-moz-transform:rotate(90deg);-ms-transform:rotate(90deg);-o-transform:rotate(90deg);transform:rotate(90deg)}.iv-image-view{position:absolute;height:100%;width:100%}.iv-image-wrap{display:inline-block}.iv-image-wrap:active{cursor:move}.iv-large-image{cursor:move;max-width:100%;max-height:100%;background-color:#ececec;-moz-transform:translateZ(0);-o-transform:translateZ(0)}.iv-large-image,.iv-loader{position:absolute;-webkit-transform:translateZ(0);-ms-transform:translateZ(0);transform:translateZ(0)}.iv-loader{top:50%;left:50%;border-radius:50%;width:32px;height:32px;z-index:100;margin-top:-16px;margin-left:-16px;font-size:5px;text-indent:-9999em;border-top:1em 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type="text/css">.mobile-tips{width:100%;height:51px;background:rgba(0,0,0,.8);position:fixed;top:0;left:0;z-index:20;display:-webkit-box;display:-ms-flexbox;display:flex;-webkit-box-orient:horizontal;-webkit-box-direction:normal;-ms-flex-direction:row;flex-direction:row;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:justify;-ms-flex-pack:justify;justify-content:space-between;-webkit-box-sizing:border-box;box-sizing:border-box;padding:0 12px;-webkit-transition:opacity .35s;transition:opacity .35s;opacity:0;pointer-events:none}.mobile-tips.istop{opacity:1;pointer-events:auto}.mobile-tips .mobile-tips-info{display:-webkit-box;display:-ms-flexbox;display:flex;-webkit-box-orient:horizontal;-webkit-box-direction:normal;-ms-flex-direction:row;flex-direction:row;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:start;-ms-flex-pack:start;justify-content:flex-start}.mobile-tips .mobile-tips-info 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.btn-pause,.mini-audio-player .btn-play{width:2.6875rem;height:2.6875rem;background-repeat:no-repeat;background-position:0 0;background-size:contain;text-decoration:none}.mini-audio-player 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);background-repeat:no-repeat;background-position:0 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type="text/css">.comment-item{list-style-position:inside;width:100%;display:-webkit-box;display:-ms-flexbox;display:flex;-webkit-box-orient:horizontal;-webkit-box-direction:normal;-ms-flex-direction:row;flex-direction:row;margin-bottom:1rem}.comment-item a{border-bottom:none}.comment-item .avatar{width:2.625rem;height:2.625rem;-ms-flex-negative:0;flex-shrink:0;border-radius:50%}.comment-item .info{margin-left:.5rem;-webkit-box-flex:1;-ms-flex-positive:1;flex-grow:1}.comment-item .info .hd{width:100%;display:-webkit-box;display:-ms-flexbox;display:flex;-webkit-box-orient:horizontal;-webkit-box-direction:normal;-ms-flex-direction:row;flex-direction:row;-webkit-box-pack:justify;-ms-flex-pack:justify;justify-content:space-between;-webkit-box-align:center;-ms-flex-align:center;align-items:center}.comment-item .info .hd .username{color:#888;font-size:15.25px;font-weight:400;line-height:1.2}.comment-item .info .hd .control{display:-webkit-box;display:-ms-flexbox;display:flex;-webkit-box-orient:horizontal;-webkit-box-direction:normal;-ms-flex-direction:row;flex-direction:row;-webkit-box-align:center;-ms-flex-align:center;align-items:center}.comment-item .info .hd .control .btn-share{color:#888;font-size:.75rem;margin-right:1rem}.comment-item .info .hd .control .btn-praise{display:-webkit-box;display:-ms-flexbox;display:flex;-webkit-box-orient:horizontal;-webkit-box-direction:normal;-ms-flex-direction:row;flex-direction:row;-webkit-box-align:center;-ms-flex-align:center;align-items:center;font-size:15.25px;text-decoration:none}.comment-item .info .hd .control .btn-praise i{color:#888;display:inline-block;font-size:.75rem;margin-right:.3rem;margin-top:-.01rem}.comment-item .info .hd .control .btn-praise i.on,.comment-item .info .hd .control .btn-praise span{color:#ff5a05}.comment-item .info .bd{color:#353535;font-size:15.25px;font-weight:400;white-space:normal;word-break:break-all;line-height:1.6}.comment-item .info .time{color:#888;font-size:9px;line-height:1}.comment-item .info .reply .reply-hd{font-size:15.25px}.comment-item .info .reply .reply-hd span{margin-left:-12px;color:#888;font-weight:400}.comment-item .info .reply .reply-hd i{color:#ff5a05;font-size:15.25px}.comment-item .info .reply .reply-content{color:#353535;font-size:15.25px;font-weight:400;white-space:normal;word-break:break-all}.comment-item .info .reply .reply-time{color:#888;font-size:9px}</style>
'''
def findDocs(path):
docs = []
files = os.listdir(path)
for file in files:
if (file.endswith('.html')):
docs.append(file)
return docs
def saveFile(data, doc):
file = open(doc, 'w')
file.write(data)
file.close()
def handleDoc(docs):
global headStr
for doc in docs:
print(doc)
doc = '/Users/gaoyunfan/Downloads/学习资料/' + doc
soup = BeautifulSoup(open(doc), 'html.parser')
head = soup.head
head.string = headStr
soup.prettify()
text=str(soup.contents[0])
text=html.unescape(text)
saveFile(text, doc)
if __name__ == "__main__":
docs = findDocs("/Users/gaoyunfan/Downloads/学习资料")
handleDoc(docs)
# soup=BeautifulSoup(h,'html.parser')
| 1,010.12069
| 55,428
| 0.897656
| 4,557
| 58,587
| 11.535659
| 0.314242
| 0.01558
| 0.018148
| 0.008751
| 0.218479
| 0.195651
| 0.171816
| 0.153477
| 0.142102
| 0.138145
| 0
| 0.106489
| 0.013279
| 58,587
| 57
| 55,429
| 1,027.842105
| 0.802851
| 0.000597
| 0
| 0
| 0
| 0.152174
| 0.987754
| 0.926524
| 0
| 1
| 0
| 0
| 0
| 1
| 0.065217
| false
| 0
| 0.065217
| 0
| 0.152174
| 0.021739
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
707993ede4d173556ae00fbe98e1112654ea65f6
| 566
|
py
|
Python
|
octicons16px/share.py
|
andrewp-as-is/octicons16px.py
|
1272dc9f290619d83bd881e87dbd723b0c48844c
|
[
"Unlicense"
] | 1
|
2021-01-28T06:47:39.000Z
|
2021-01-28T06:47:39.000Z
|
octicons16px/share.py
|
andrewp-as-is/octicons16px.py
|
1272dc9f290619d83bd881e87dbd723b0c48844c
|
[
"Unlicense"
] | null | null | null |
octicons16px/share.py
|
andrewp-as-is/octicons16px.py
|
1272dc9f290619d83bd881e87dbd723b0c48844c
|
[
"Unlicense"
] | null | null | null |
OCTICON_SHARE = """
<svg class="octicon octicon-share" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 16 16" width="16" height="16"><path fill-rule="evenodd" d="M7.823.177L4.927 3.073a.25.25 0 00.177.427H7.25v5.75a.75.75 0 001.5 0V3.5h2.146a.25.25 0 00.177-.427L8.177.177a.25.25 0 00-.354 0zM3.75 6.5a.25.25 0 00-.25.25v6.5c0 .138.112.25.25.25h8.5a.25.25 0 00.25-.25v-6.5a.25.25 0 00-.25-.25h-1a.75.75 0 010-1.5h1c.966 0 1.75.784 1.75 1.75v6.5A1.75 1.75 0 0112.25 15h-8.5A1.75 1.75 0 012 13.25v-6.5C2 5.784 2.784 5 3.75 5h1a.75.75 0 110 1.5h-1z"></path></svg>
"""
| 113.2
| 540
| 0.671378
| 146
| 566
| 2.59589
| 0.479452
| 0.073879
| 0.079156
| 0.110818
| 0.192612
| 0.092348
| 0.063325
| 0
| 0
| 0
| 0
| 0.476378
| 0.102474
| 566
| 4
| 541
| 141.5
| 0.269685
| 0
| 0
| 0
| 0
| 0.333333
| 0.959292
| 0.223009
| 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
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
707af883285b76afd6406529b897f2c3a018e3df
| 345
|
py
|
Python
|
runnose.py
|
wilsonify/fwrap
|
f2e20eb55eaa3de72905e2ef28198da00eebe262
|
[
"BSD-3-Clause"
] | 23
|
2015-02-25T00:24:15.000Z
|
2021-09-08T01:35:45.000Z
|
runnose.py
|
fwrap/fwrap
|
61a56f2d0050096b4973d88e5f11cfac2ef01a4b
|
[
"BSD-3-Clause"
] | 1
|
2021-09-08T01:45:02.000Z
|
2021-09-08T01:45:02.000Z
|
runnose.py
|
fwrap/fwrap
|
61a56f2d0050096b4973d88e5f11cfac2ef01a4b
|
[
"BSD-3-Clause"
] | 4
|
2015-03-22T01:33:39.000Z
|
2021-09-09T15:25:44.000Z
|
#------------------------------------------------------------------------------
# Copyright (c) 2010, Kurt W. Smith
# All rights reserved. See LICENSE.txt.
#------------------------------------------------------------------------------
from subprocess import call
import sys
call(("%s/bin/nosetests -s fwrap/tests" % sys.exec_prefix).split())
| 34.5
| 79
| 0.388406
| 29
| 345
| 4.586207
| 0.862069
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.012618
| 0.081159
| 345
| 9
| 80
| 38.333333
| 0.40694
| 0.66087
| 0
| 0
| 0
| 0
| 0.274336
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
709cdf42a50a770c9db4d28b77df3c2e563f09ba
| 15,286
|
py
|
Python
|
intro-ansible/venv3/lib/python3.8/site-packages/ansible_collections/junipernetworks/junos/tests/unit/modules/network/junos/test_junos_bgp_global.py
|
Stienvdh/statrick
|
7b092fc42171e226718a70a285a4b323f2f395ad
|
[
"MIT"
] | null | null | null |
intro-ansible/venv3/lib/python3.8/site-packages/ansible_collections/junipernetworks/junos/tests/unit/modules/network/junos/test_junos_bgp_global.py
|
Stienvdh/statrick
|
7b092fc42171e226718a70a285a4b323f2f395ad
|
[
"MIT"
] | null | null | null |
intro-ansible/venv3/lib/python3.8/site-packages/ansible_collections/junipernetworks/junos/tests/unit/modules/network/junos/test_junos_bgp_global.py
|
Stienvdh/statrick
|
7b092fc42171e226718a70a285a4b323f2f395ad
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
# Copyright 2020 Red Hat
# GNU General Public License v3.0+
# (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
#############################################
# WARNING #
#############################################
#
# This file is auto generated by the resource
# module builder playbook.
#
# Do not edit this file manually.
#
# Changes to this file will be over written
# by the resource module builder.
#
# Changes should be made in the model used to
# generate this file or in the resource module
# builder template.
#
#############################################
from __future__ import absolute_import, division, print_function
__metaclass__ = type
from ansible_collections.junipernetworks.junos.tests.unit.compat.mock import (
patch,
MagicMock,
)
from ansible_collections.junipernetworks.junos.plugins.modules import (
junos_bgp_global,
)
from ansible_collections.junipernetworks.junos.tests.unit.modules.utils import (
set_module_args,
)
from .junos_module import TestJunosModule, load_fixture
class TestJunosBgp_globalModule(TestJunosModule):
module = junos_bgp_global
def setUp(self):
super(TestJunosBgp_globalModule, self).setUp()
self.mock_lock_configuration = patch(
"ansible_collections.junipernetworks.junos.plugins.module_utils.network.junos.junos.lock_configuration"
)
self.lock_configuration = self.mock_lock_configuration.start()
self.mock_unlock_configuration = patch(
"ansible_collections.junipernetworks.junos.plugins.module_utils.network.junos.junos.unlock_configuration"
)
self.unlock_configuration = self.mock_unlock_configuration.start()
self.mock_load_config = patch(
"ansible_collections.junipernetworks.junos.plugins.module_utils.network.junos.config.bgp_global.bgp_global.load_config"
)
self.load_config = self.mock_load_config.start()
self.mock_validate_config = patch(
"ansible_collections.ansible.netcommon.plugins.module_utils.network.common.utils.validate_config"
)
self.validate_config = self.mock_validate_config.start()
self.mock_commit_configuration = patch(
"ansible_collections.junipernetworks.junos.plugins.module_utils.network.junos.config.bgp_global.bgp_global.commit_configuration"
)
self.mock_commit_configuration = self.mock_commit_configuration.start()
self.mock_get_connection = patch(
"ansible_collections.junipernetworks.junos.plugins.module_utils.network.junos.facts.bgp_global.bgp_global."
"Bgp_globalFacts.get_connection"
)
self.get_connection = self.mock_get_connection.start()
self.conn = self.get_connection()
self.conn.get = MagicMock()
self.mock_get_xml_dict = patch(
"ansible_collections.junipernetworks.junos.plugins.module_utils.network.junos.facts."
"bgp_global.bgp_global.Bgp_globalFacts._get_xml_dict"
)
self._get_xml_dict = self.mock_get_xml_dict.start()
def tearDown(self):
super(TestJunosBgp_globalModule, self).tearDown()
self.mock_get_connection.stop()
self.mock_load_config.stop()
self.mock_validate_config.stop()
self.mock_lock_configuration.stop()
self.mock_unlock_configuration.stop()
self.mock_commit_configuration.stop()
def load_fixtures(self, commands=None, format="text", changed=False):
self.get_connection.return_value = load_fixture(
"junos_bgp_global_config.cfg"
)
if changed:
self.load_config.return_value = load_fixture(
"get_configuration_rpc_reply_diff.txt"
)
else:
self.load_config.return_value = None
def test_junos_bgp_global_merged(self):
set_module_args(
dict(
config=dict(
damping=True,
description="This is configured with Junos_bgp resource module",
preference="2",
bfd_liveness_detection=dict(
minimum_receive_interval=4,
multiplier=10,
no_adaptation=True,
version="automatic",
),
),
state="merged",
)
)
commands = [
'<nc:protocols xmlns:nc="urn:ietf:params:xml:ns:netconf:base:1.0"><nc:bgp>'
"<nc:damping/><nc:description>This is configured with Junos_bgp resource module</nc:description>"
"<nc:preference>2</nc:preference><nc:bfd-liveness-detection>"
"<nc:minimum-receive-interval>4</nc:minimum-receive-interval>"
"<nc:multiplier>10</nc:multiplier><nc:no-adaptation/>"
"<nc:version>automatic</nc:version></nc:bfd-liveness-detection>"
"</nc:bgp></nc:protocols>"
]
result = self.execute_module(changed=True)
self.assertEqual(sorted(result["commands"]), sorted(commands))
def test_junos_bgp_global_merged_idempotent(self):
self.get_connection.return_value = load_fixture(
"junos_bgp_global_config.cfg"
)
src = load_fixture("junos_bgp_global.cfg", content="str")
set_module_args(dict(src=src))
set_module_args(
dict(
config=dict(
advertise_from_main_vpn_tables=True,
accept_remote_nexthop=True,
damping=True,
no_advertise_peer_as=True,
description="This is configured with Junos_bgp resource module",
preference="2",
),
state="merged",
)
)
self.execute_module(changed=False, commands=[])
def test_junos_bgp_global_replaced(self):
set_module_args(
dict(
config=dict(
damping=True,
description="Replaced by Junos bgp global module",
preference="3",
bfd_liveness_detection=dict(
minimum_receive_interval=4,
multiplier=20,
no_adaptation=True,
version="automatic",
),
),
state="replaced",
)
)
commands = [
'<nc:protocols xmlns:nc="urn:ietf:params:xml:ns:netconf:base:1.0"><nc:bgp>'
'<nc:accept-remote-nexthop delete="delete"/><nc:add-path-display-ipv4-address delete="delete"/>'
'<nc:advertise-bgp-static delete="delete"/>'
'<nc:advertise-external delete="delete"/><nc:advertise-from-main-vpn-tables delete="delete"/>'
'<nc:advertise-inactive delete="delete"/><nc:advertise-peer-as delete="delete"/>'
'<nc:authentication-algorithm delete="delete"/><nc:authentication-key delete="delete"/>'
'<nc:authentication-key-chain delete="delete"/><nc:bfd-liveness-detection delete="delete"/>'
'<nc:bgp-error-tolerance delete="delete"/><nc:bmp delete="delete"/><nc:cluster delete="delete"/>'
'<nc:damping delete="delete"/><nc:description delete="delete"/><nc:disable delete="delete"/>'
'<nc:egress-te-sid-stats delete="delete"/><nc:enforce-first-as delete="delete"/><nc:export delete="delete"/>'
'<nc:forwarding-context delete="delete"/><nc:hold-time delete="delete"/>'
'<nc:holddown-all-stale-labels delete="delete"/>'
'<nc:import delete="delete"/><nc:include-mp-next-hop delete="delete"/><nc:ipsec-sa delete="delete"/>'
'<nc:keep delete="delete"/><nc:local-address delete="delete"/><nc:local-interface delete="delete"/>'
'<nc:local-preference delete="delete"/><nc:log-updown delete="delete"/><nc:mtu-discovery delete="delete"/>'
'<nc:no-advertise-peer-as delete="delete"/><nc:no-aggregator-id delete="delete"/>'
'<nc:no-client-reflect delete="delete"/>'
'<nc:no-precision-timers delete="delete"/><nc:passive delete="delete"/><nc:peer-as delete="delete"/>'
'<nc:precision-timers delete="delete"/><nc:preference delete="delete"/><nc:out-delay delete="delete"/>'
'<nc:rfc6514-compliant-safi129 delete="delete"/><nc:route-server-client delete="delete"/>'
'<nc:send-addpath-optimization delete="delete"/><nc:sr-preference-override delete="delete"/>'
'<nc:stale-labels-holddown-period delete="delete"/><nc:tcp-aggressive-transmission delete="delete"/>'
'<nc:tcp-mss delete="delete"/><nc:ttl delete="delete"/>'
'<nc:unconfigured-peer-graceful-restart delete="delete"/>'
'<nc:vpn-apply-export delete="delete"/></nc:bgp><nc:bgp><nc:damping/>'
"<nc:description>Replaced by Junos bgp global module</nc:description><nc:preference>3</nc:preference>"
"<nc:bfd-liveness-detection><nc:minimum-receive-interval>4</nc:minimum-receive-interval>"
"<nc:multiplier>20</nc:multiplier><nc:no-adaptation/>"
"<nc:version>automatic</nc:version></nc:bfd-liveness-detection>"
"</nc:bgp></nc:protocols>"
]
result = self.execute_module(changed=True)
self.assertEqual(sorted(result["commands"]), commands)
def test_junos_bgp_global_replaced_idempotent(self):
self.get_connection.return_value = load_fixture(
"junos_bgp_global_config.cfg"
)
src = load_fixture("junos_bgp_global.cfg", content="str")
set_module_args(dict(src=src))
set_module_args(
dict(
config=dict(
advertise_from_main_vpn_tables=True,
accept_remote_nexthop=True,
damping=True,
no_advertise_peer_as=True,
description="This is configured with Junos_bgp resource module",
preference="2",
),
state="replaced",
)
)
self.execute_module(changed=False, commands=[])
def test_junos_bgp_global_delete(self):
self.get_connection.return_value = load_fixture(
"junos_bgp_global_config.cfg"
)
src = load_fixture("junos_bgp_global.cfg", content="str")
set_module_args(dict(src=src))
set_module_args(dict(config=dict(), state="deleted"))
commands = [
'<nc:protocols xmlns:nc="urn:ietf:params:xml:ns:netconf:base:1.0"><nc:bgp>'
'<nc:accept-remote-nexthop delete="delete"/>'
'<nc:add-path-display-ipv4-address delete="delete"/><nc:advertise-bgp-static delete="delete"/>'
'<nc:advertise-external delete="delete"/><nc:advertise-from-main-vpn-tables delete="delete"/>'
'<nc:advertise-inactive delete="delete"/><nc:advertise-peer-as delete="delete"/>'
'<nc:authentication-algorithm delete="delete"/><nc:authentication-key delete="delete"/>'
'<nc:authentication-key-chain delete="delete"/><nc:bfd-liveness-detection delete="delete"/>'
'<nc:bgp-error-tolerance delete="delete"/><nc:bmp delete="delete"/><nc:cluster delete="delete"/>'
'<nc:damping delete="delete"/><nc:description delete="delete"/><nc:disable delete="delete"/>'
'<nc:egress-te-sid-stats delete="delete"/><nc:enforce-first-as delete="delete"/>'
'<nc:export delete="delete"/>'
'<nc:forwarding-context delete="delete"/><nc:hold-time delete="delete"/>'
'<nc:holddown-all-stale-labels delete="delete"/><nc:import delete="delete"/>'
'<nc:include-mp-next-hop delete="delete"/><nc:ipsec-sa delete="delete"/>'
'<nc:keep delete="delete"/><nc:local-address delete="delete"/><nc:local-interface delete="delete"/>'
'<nc:local-preference delete="delete"/><nc:log-updown delete="delete"/><nc:mtu-discovery delete="delete"/>'
'<nc:no-advertise-peer-as delete="delete"/><nc:no-aggregator-id delete="delete"/>'
'<nc:no-client-reflect delete="delete"/><nc:no-precision-timers delete="delete"/>'
'<nc:passive delete="delete"/>'
'<nc:peer-as delete="delete"/><nc:precision-timers delete="delete"/><nc:preference delete="delete"/>'
'<nc:out-delay delete="delete"/><nc:rfc6514-compliant-safi129 delete="delete"/>'
'<nc:route-server-client delete="delete"/><nc:send-addpath-optimization delete="delete"/>'
'<nc:sr-preference-override delete="delete"/><nc:stale-labels-holddown-period delete="delete"/>'
'<nc:tcp-aggressive-transmission delete="delete"/><nc:tcp-mss delete="delete"/><nc:ttl delete="delete"/>'
'<nc:unconfigured-peer-graceful-restart delete="delete"/>'
'<nc:vpn-apply-export delete="delete"/></nc:bgp></nc:protocols>'
]
result = self.execute_module(changed=True)
self.assertEqual(sorted(result["commands"]), commands)
def test_junos_bgp_global_delete_idempotent(self):
set_module_args(dict(state="deleted"))
self.execute_module(changed=False, commands=[])
def test_junos_bgp_global_purged(self):
self.get_connection.return_value = load_fixture(
"junos_bgp_global_config.cfg"
)
src = load_fixture("junos_bgp_global.cfg", content="str")
set_module_args(dict(src=src))
set_module_args(dict(config=dict(), state="purged"))
commands = [
'<nc:protocols xmlns:nc="urn:ietf:params:xml:ns:netconf:base:1.0"><nc:bgp delete="delete"/></nc:protocols>'
]
result = self.execute_module(changed=True)
self.assertEqual(sorted(result["commands"]), commands)
def test_junos_bgp_global_purged_idempotent(self):
set_module_args(dict(state="purged"))
self.execute_module(changed=False, commands=[])
def test_junos_bgp_global_rendered(self):
set_module_args(
dict(
config=dict(
damping=True,
description="This is configured with Junos_bgp resource module",
preference="2",
bfd_liveness_detection=dict(
minimum_receive_interval=4,
multiplier=10,
no_adaptation=True,
version="automatic",
),
),
state="merged",
)
)
commands = [
'<nc:protocols xmlns:nc="urn:ietf:params:xml:ns:netconf:base:1.0"><nc:bgp>'
"<nc:damping/><nc:description>This is configured with Junos_bgp resource module</nc:description>"
"<nc:preference>2</nc:preference><nc:bfd-liveness-detection>"
"<nc:minimum-receive-interval>4</nc:minimum-receive-interval>"
"<nc:multiplier>10</nc:multiplier><nc:no-adaptation/><nc:version>automatic</nc:version>"
"</nc:bfd-liveness-detection>"
"</nc:bgp></nc:protocols>"
]
self.execute_module(changed=False, commands=commands)
| 48.22082
| 140
| 0.611082
| 1,701
| 15,286
| 5.329218
| 0.148148
| 0.136349
| 0.159073
| 0.024379
| 0.834197
| 0.802648
| 0.778047
| 0.746608
| 0.746608
| 0.74032
| 0
| 0.005283
| 0.244668
| 15,286
| 316
| 141
| 48.373418
| 0.779837
| 0.030616
| 0
| 0.492537
| 0
| 0.175373
| 0.463411
| 0.3457
| 0
| 0
| 0
| 0
| 0.014925
| 1
| 0.044776
| false
| 0.007463
| 0.026119
| 0
| 0.078358
| 0.003731
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
563b995c2013d01bafe07f42aee73b3797389734
| 46
|
py
|
Python
|
tests/helpers/empty_tester.py
|
Chrisk12/python-grader
|
9bfe9beeffdeb8e50be1a9e2ae3b4fbf0728aa52
|
[
"MIT"
] | 9
|
2015-06-06T06:15:12.000Z
|
2020-05-27T21:37:16.000Z
|
tests/helpers/empty_tester.py
|
Chrisk12/python-grader
|
9bfe9beeffdeb8e50be1a9e2ae3b4fbf0728aa52
|
[
"MIT"
] | null | null | null |
tests/helpers/empty_tester.py
|
Chrisk12/python-grader
|
9bfe9beeffdeb8e50be1a9e2ae3b4fbf0728aa52
|
[
"MIT"
] | 3
|
2018-11-17T22:51:45.000Z
|
2021-01-22T14:07:48.000Z
|
from grader import *
@test
def empty(m): pass
| 11.5
| 20
| 0.717391
| 8
| 46
| 4.125
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.173913
| 46
| 4
| 21
| 11.5
| 0.868421
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0.333333
| 0.333333
| 0
| 0.666667
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 1
| 0
| 0
| 0
|
0
| 6
|
56414c58dd0778f5f8f83381a63b893e4b81690a
| 95
|
py
|
Python
|
mailgun2/__init__.py
|
albertyw/python-mailgun2
|
50d4c9dd02064f4497b6bc06ee948986c09e4e3f
|
[
"Apache-2.0"
] | 5
|
2016-03-05T09:29:36.000Z
|
2021-04-09T13:29:24.000Z
|
mailgun2/__init__.py
|
albertyw/python-mailgun2
|
50d4c9dd02064f4497b6bc06ee948986c09e4e3f
|
[
"Apache-2.0"
] | 12
|
2016-03-05T08:25:19.000Z
|
2018-05-21T02:32:01.000Z
|
mailgun2/__init__.py
|
albertyw/python-mailgun2
|
50d4c9dd02064f4497b6bc06ee948986c09e4e3f
|
[
"Apache-2.0"
] | 3
|
2016-04-19T05:46:50.000Z
|
2017-07-05T16:22:04.000Z
|
from .__version__ import __version__ # noqa: F401
from .mailgun import Mailgun # noqa: F401
| 23.75
| 50
| 0.757895
| 12
| 95
| 5.333333
| 0.5
| 0.25
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.076923
| 0.178947
| 95
| 3
| 51
| 31.666667
| 0.74359
| 0.221053
| 0
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| 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 | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
56993f235e1fe9ec81ff86bf79281c8836b01355
| 155
|
py
|
Python
|
Python/7 kyu/Descending Order/solution.py
|
Hsins/CodeWars
|
7e7b912fdd0647c0af381d8b566408e383ea5df8
|
[
"MIT"
] | 1
|
2020-01-09T21:47:56.000Z
|
2020-01-09T21:47:56.000Z
|
Python/7 kyu/Descending Order/solution.py
|
Hsins/CodeWars
|
7e7b912fdd0647c0af381d8b566408e383ea5df8
|
[
"MIT"
] | 1
|
2020-01-20T12:39:03.000Z
|
2020-01-20T12:39:03.000Z
|
Python/7 kyu/Descending Order/solution.py
|
Hsins/CodeWars
|
7e7b912fdd0647c0af381d8b566408e383ea5df8
|
[
"MIT"
] | null | null | null |
# [7 kyu] Descending Order
#
# Author: Hsins
# Date: 2019/12/31
def descending_order(num):
return int("".join(sorted(str(num), reverse=True)))
| 17.222222
| 55
| 0.645161
| 22
| 155
| 4.5
| 0.863636
| 0.30303
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.071429
| 0.187097
| 155
| 8
| 56
| 19.375
| 0.714286
| 0.393548
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0
| 0
| 0.5
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| null | 1
| 0
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| 0
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| 1
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| null | 0
| 0
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| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 6
|
3b606cbf643385963a0ad9eec8be2552382d117c
| 26,913
|
py
|
Python
|
hio-yocto-bsp/sources/poky/bitbake/lib/toaster/orm/migrations/0001_initial.py
|
qiangzai00001/hio-prj
|
060ff97fe21093b1369db78109d5b730b2b181c8
|
[
"MIT"
] | null | null | null |
hio-yocto-bsp/sources/poky/bitbake/lib/toaster/orm/migrations/0001_initial.py
|
qiangzai00001/hio-prj
|
060ff97fe21093b1369db78109d5b730b2b181c8
|
[
"MIT"
] | null | null | null |
hio-yocto-bsp/sources/poky/bitbake/lib/toaster/orm/migrations/0001_initial.py
|
qiangzai00001/hio-prj
|
060ff97fe21093b1369db78109d5b730b2b181c8
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
from south.utils import datetime_utils as datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding model 'Build'
db.create_table(u'orm_build', (
(u'id', self.gf('django.db.models.fields.AutoField')(primary_key=True)),
('machine', self.gf('django.db.models.fields.CharField')(max_length=100)),
('image_fstypes', self.gf('django.db.models.fields.CharField')(max_length=100)),
('distro', self.gf('django.db.models.fields.CharField')(max_length=100)),
('distro_version', self.gf('django.db.models.fields.CharField')(max_length=100)),
('started_on', self.gf('django.db.models.fields.DateTimeField')()),
('completed_on', self.gf('django.db.models.fields.DateTimeField')()),
('outcome', self.gf('django.db.models.fields.IntegerField')(default=2)),
('errors_no', self.gf('django.db.models.fields.IntegerField')(default=0)),
('warnings_no', self.gf('django.db.models.fields.IntegerField')(default=0)),
('cooker_log_path', self.gf('django.db.models.fields.CharField')(max_length=500)),
('build_name', self.gf('django.db.models.fields.CharField')(max_length=100)),
('bitbake_version', self.gf('django.db.models.fields.CharField')(max_length=50)),
))
db.send_create_signal(u'orm', ['Build'])
# Adding model 'Target'
db.create_table(u'orm_target', (
(u'id', self.gf('django.db.models.fields.AutoField')(primary_key=True)),
('build', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['orm.Build'])),
('target', self.gf('django.db.models.fields.CharField')(max_length=100)),
('is_image', self.gf('django.db.models.fields.BooleanField')(default=False)),
('file_name', self.gf('django.db.models.fields.CharField')(max_length=100)),
('file_size', self.gf('django.db.models.fields.IntegerField')()),
))
db.send_create_signal(u'orm', ['Target'])
# Adding model 'Task'
db.create_table(u'orm_task', (
(u'id', self.gf('django.db.models.fields.AutoField')(primary_key=True)),
('build', self.gf('django.db.models.fields.related.ForeignKey')(related_name='task_build', to=orm['orm.Build'])),
('order', self.gf('django.db.models.fields.IntegerField')(null=True)),
('task_executed', self.gf('django.db.models.fields.BooleanField')(default=False)),
('outcome', self.gf('django.db.models.fields.IntegerField')(default=5)),
('sstate_checksum', self.gf('django.db.models.fields.CharField')(max_length=100, blank=True)),
('path_to_sstate_obj', self.gf('django.db.models.fields.FilePathField')(max_length=500, blank=True)),
('recipe', self.gf('django.db.models.fields.related.ForeignKey')(related_name='build_recipe', to=orm['orm.Recipe'])),
('task_name', self.gf('django.db.models.fields.CharField')(max_length=100)),
('source_url', self.gf('django.db.models.fields.FilePathField')(max_length=255, blank=True)),
('work_directory', self.gf('django.db.models.fields.FilePathField')(max_length=255, blank=True)),
('script_type', self.gf('django.db.models.fields.IntegerField')(default=0)),
('line_number', self.gf('django.db.models.fields.IntegerField')(default=0)),
('disk_io', self.gf('django.db.models.fields.IntegerField')(null=True)),
('cpu_usage', self.gf('django.db.models.fields.DecimalField')(null=True, max_digits=6, decimal_places=2)),
('elapsed_time', self.gf('django.db.models.fields.CharField')(default=0, max_length=50)),
('sstate_result', self.gf('django.db.models.fields.IntegerField')(default=0)),
('message', self.gf('django.db.models.fields.CharField')(max_length=240)),
('logfile', self.gf('django.db.models.fields.FilePathField')(max_length=255, blank=True)),
))
db.send_create_signal(u'orm', ['Task'])
# Adding model 'Task_Dependency'
db.create_table(u'orm_task_dependency', (
(u'id', self.gf('django.db.models.fields.AutoField')(primary_key=True)),
('task', self.gf('django.db.models.fields.related.ForeignKey')(related_name='task_dependencies_task', to=orm['orm.Task'])),
('depends_on', self.gf('django.db.models.fields.related.ForeignKey')(related_name='task_dependencies_depends', to=orm['orm.Task'])),
))
db.send_create_signal(u'orm', ['Task_Dependency'])
# Adding model 'Package'
db.create_table(u'orm_package', (
(u'id', self.gf('django.db.models.fields.AutoField')(primary_key=True)),
('build', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['orm.Build'])),
('recipe', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['orm.Recipe'], null=True)),
('name', self.gf('django.db.models.fields.CharField')(max_length=100)),
('version', self.gf('django.db.models.fields.CharField')(max_length=100, blank=True)),
('revision', self.gf('django.db.models.fields.CharField')(max_length=32, blank=True)),
('summary', self.gf('django.db.models.fields.CharField')(max_length=200, blank=True)),
('description', self.gf('django.db.models.fields.CharField')(max_length=200, blank=True)),
('size', self.gf('django.db.models.fields.IntegerField')(default=0)),
('installed_size', self.gf('django.db.models.fields.IntegerField')(default=0)),
('section', self.gf('django.db.models.fields.CharField')(max_length=80, blank=True)),
('license', self.gf('django.db.models.fields.CharField')(max_length=80, blank=True)),
))
db.send_create_signal(u'orm', ['Package'])
# Adding model 'Package_Dependency'
db.create_table(u'orm_package_dependency', (
(u'id', self.gf('django.db.models.fields.AutoField')(primary_key=True)),
('package', self.gf('django.db.models.fields.related.ForeignKey')(related_name='package_dependencies_source', to=orm['orm.Package'])),
('depends_on', self.gf('django.db.models.fields.related.ForeignKey')(related_name='package_dependencies_target', to=orm['orm.Package'])),
('dep_type', self.gf('django.db.models.fields.IntegerField')()),
('target', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['orm.Target'], null=True)),
))
db.send_create_signal(u'orm', ['Package_Dependency'])
# Adding model 'Target_Installed_Package'
db.create_table(u'orm_target_installed_package', (
(u'id', self.gf('django.db.models.fields.AutoField')(primary_key=True)),
('target', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['orm.Target'])),
('package', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['orm.Package'])),
))
db.send_create_signal(u'orm', ['Target_Installed_Package'])
# Adding model 'Package_File'
db.create_table(u'orm_package_file', (
(u'id', self.gf('django.db.models.fields.AutoField')(primary_key=True)),
('package', self.gf('django.db.models.fields.related.ForeignKey')(related_name='buildfilelist_package', to=orm['orm.Package'])),
('path', self.gf('django.db.models.fields.FilePathField')(max_length=255, blank=True)),
('size', self.gf('django.db.models.fields.IntegerField')()),
))
db.send_create_signal(u'orm', ['Package_File'])
# Adding model 'Recipe'
db.create_table(u'orm_recipe', (
(u'id', self.gf('django.db.models.fields.AutoField')(primary_key=True)),
('name', self.gf('django.db.models.fields.CharField')(max_length=100, blank=True)),
('version', self.gf('django.db.models.fields.CharField')(max_length=100, blank=True)),
('layer_version', self.gf('django.db.models.fields.related.ForeignKey')(related_name='recipe_layer_version', to=orm['orm.Layer_Version'])),
('summary', self.gf('django.db.models.fields.CharField')(max_length=100, blank=True)),
('description', self.gf('django.db.models.fields.CharField')(max_length=100, blank=True)),
('section', self.gf('django.db.models.fields.CharField')(max_length=100, blank=True)),
('license', self.gf('django.db.models.fields.CharField')(max_length=200, blank=True)),
('licensing_info', self.gf('django.db.models.fields.TextField')(blank=True)),
('homepage', self.gf('django.db.models.fields.URLField')(max_length=200, blank=True)),
('bugtracker', self.gf('django.db.models.fields.URLField')(max_length=200, blank=True)),
('file_path', self.gf('django.db.models.fields.FilePathField')(max_length=255)),
))
db.send_create_signal(u'orm', ['Recipe'])
# Adding model 'Recipe_Dependency'
db.create_table(u'orm_recipe_dependency', (
(u'id', self.gf('django.db.models.fields.AutoField')(primary_key=True)),
('recipe', self.gf('django.db.models.fields.related.ForeignKey')(related_name='r_dependencies_recipe', to=orm['orm.Recipe'])),
('depends_on', self.gf('django.db.models.fields.related.ForeignKey')(related_name='r_dependencies_depends', to=orm['orm.Recipe'])),
('dep_type', self.gf('django.db.models.fields.IntegerField')()),
))
db.send_create_signal(u'orm', ['Recipe_Dependency'])
# Adding model 'Layer'
db.create_table(u'orm_layer', (
(u'id', self.gf('django.db.models.fields.AutoField')(primary_key=True)),
('name', self.gf('django.db.models.fields.CharField')(max_length=100)),
('local_path', self.gf('django.db.models.fields.FilePathField')(max_length=255)),
('layer_index_url', self.gf('django.db.models.fields.URLField')(max_length=200)),
))
db.send_create_signal(u'orm', ['Layer'])
# Adding model 'Layer_Version'
db.create_table(u'orm_layer_version', (
(u'id', self.gf('django.db.models.fields.AutoField')(primary_key=True)),
('build', self.gf('django.db.models.fields.related.ForeignKey')(related_name='layer_version_build', to=orm['orm.Build'])),
('layer', self.gf('django.db.models.fields.related.ForeignKey')(related_name='layer_version_layer', to=orm['orm.Layer'])),
('branch', self.gf('django.db.models.fields.CharField')(max_length=50)),
('commit', self.gf('django.db.models.fields.CharField')(max_length=100)),
('priority', self.gf('django.db.models.fields.IntegerField')()),
))
db.send_create_signal(u'orm', ['Layer_Version'])
# Adding model 'Variable'
db.create_table(u'orm_variable', (
(u'id', self.gf('django.db.models.fields.AutoField')(primary_key=True)),
('build', self.gf('django.db.models.fields.related.ForeignKey')(related_name='variable_build', to=orm['orm.Build'])),
('variable_name', self.gf('django.db.models.fields.CharField')(max_length=100)),
('variable_value', self.gf('django.db.models.fields.TextField')(blank=True)),
('changed', self.gf('django.db.models.fields.BooleanField')(default=False)),
('human_readable_name', self.gf('django.db.models.fields.CharField')(max_length=200)),
('description', self.gf('django.db.models.fields.TextField')(blank=True)),
))
db.send_create_signal(u'orm', ['Variable'])
# Adding model 'VariableHistory'
db.create_table(u'orm_variablehistory', (
(u'id', self.gf('django.db.models.fields.AutoField')(primary_key=True)),
('variable', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['orm.Variable'])),
('file_name', self.gf('django.db.models.fields.FilePathField')(max_length=255)),
('line_number', self.gf('django.db.models.fields.IntegerField')(null=True)),
('operation', self.gf('django.db.models.fields.CharField')(max_length=16)),
))
db.send_create_signal(u'orm', ['VariableHistory'])
# Adding model 'LogMessage'
db.create_table(u'orm_logmessage', (
(u'id', self.gf('django.db.models.fields.AutoField')(primary_key=True)),
('build', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['orm.Build'])),
('level', self.gf('django.db.models.fields.IntegerField')(default=0)),
('message', self.gf('django.db.models.fields.CharField')(max_length=240)),
('pathname', self.gf('django.db.models.fields.FilePathField')(max_length=255, blank=True)),
('lineno', self.gf('django.db.models.fields.IntegerField')(null=True)),
))
db.send_create_signal(u'orm', ['LogMessage'])
def backwards(self, orm):
# Deleting model 'Build'
db.delete_table(u'orm_build')
# Deleting model 'Target'
db.delete_table(u'orm_target')
# Deleting model 'Task'
db.delete_table(u'orm_task')
# Deleting model 'Task_Dependency'
db.delete_table(u'orm_task_dependency')
# Deleting model 'Package'
db.delete_table(u'orm_package')
# Deleting model 'Package_Dependency'
db.delete_table(u'orm_package_dependency')
# Deleting model 'Target_Installed_Package'
db.delete_table(u'orm_target_installed_package')
# Deleting model 'Package_File'
db.delete_table(u'orm_package_file')
# Deleting model 'Recipe'
db.delete_table(u'orm_recipe')
# Deleting model 'Recipe_Dependency'
db.delete_table(u'orm_recipe_dependency')
# Deleting model 'Layer'
db.delete_table(u'orm_layer')
# Deleting model 'Layer_Version'
db.delete_table(u'orm_layer_version')
# Deleting model 'Variable'
db.delete_table(u'orm_variable')
# Deleting model 'VariableHistory'
db.delete_table(u'orm_variablehistory')
# Deleting model 'LogMessage'
db.delete_table(u'orm_logmessage')
models = {
u'orm.build': {
'Meta': {'object_name': 'Build'},
'bitbake_version': ('django.db.models.fields.CharField', [], {'max_length': '50'}),
'build_name': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
'completed_on': ('django.db.models.fields.DateTimeField', [], {}),
'cooker_log_path': ('django.db.models.fields.CharField', [], {'max_length': '500'}),
'distro': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
'distro_version': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
'errors_no': ('django.db.models.fields.IntegerField', [], {'default': '0'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'image_fstypes': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
'machine': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
'outcome': ('django.db.models.fields.IntegerField', [], {'default': '2'}),
'started_on': ('django.db.models.fields.DateTimeField', [], {}),
'warnings_no': ('django.db.models.fields.IntegerField', [], {'default': '0'})
},
u'orm.layer': {
'Meta': {'object_name': 'Layer'},
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'layer_index_url': ('django.db.models.fields.URLField', [], {'max_length': '200'}),
'local_path': ('django.db.models.fields.FilePathField', [], {'max_length': '255'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '100'})
},
u'orm.layer_version': {
'Meta': {'object_name': 'Layer_Version'},
'branch': ('django.db.models.fields.CharField', [], {'max_length': '50'}),
'build': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'layer_version_build'", 'to': u"orm['orm.Build']"}),
'commit': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'layer': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'layer_version_layer'", 'to': u"orm['orm.Layer']"}),
'priority': ('django.db.models.fields.IntegerField', [], {})
},
u'orm.logmessage': {
'Meta': {'object_name': 'LogMessage'},
'build': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['orm.Build']"}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'level': ('django.db.models.fields.IntegerField', [], {'default': '0'}),
'lineno': ('django.db.models.fields.IntegerField', [], {'null': 'True'}),
'message': ('django.db.models.fields.CharField', [], {'max_length': '240'}),
'pathname': ('django.db.models.fields.FilePathField', [], {'max_length': '255', 'blank': 'True'})
},
u'orm.package': {
'Meta': {'object_name': 'Package'},
'build': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['orm.Build']"}),
'description': ('django.db.models.fields.CharField', [], {'max_length': '200', 'blank': 'True'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'installed_size': ('django.db.models.fields.IntegerField', [], {'default': '0'}),
'license': ('django.db.models.fields.CharField', [], {'max_length': '80', 'blank': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
'recipe': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['orm.Recipe']", 'null': 'True'}),
'revision': ('django.db.models.fields.CharField', [], {'max_length': '32', 'blank': 'True'}),
'section': ('django.db.models.fields.CharField', [], {'max_length': '80', 'blank': 'True'}),
'size': ('django.db.models.fields.IntegerField', [], {'default': '0'}),
'summary': ('django.db.models.fields.CharField', [], {'max_length': '200', 'blank': 'True'}),
'version': ('django.db.models.fields.CharField', [], {'max_length': '100', 'blank': 'True'})
},
u'orm.package_dependency': {
'Meta': {'object_name': 'Package_Dependency'},
'dep_type': ('django.db.models.fields.IntegerField', [], {}),
'depends_on': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'package_dependencies_target'", 'to': u"orm['orm.Package']"}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'package': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'package_dependencies_source'", 'to': u"orm['orm.Package']"}),
'target': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['orm.Target']", 'null': 'True'})
},
u'orm.package_file': {
'Meta': {'object_name': 'Package_File'},
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'package': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'buildfilelist_package'", 'to': u"orm['orm.Package']"}),
'path': ('django.db.models.fields.FilePathField', [], {'max_length': '255', 'blank': 'True'}),
'size': ('django.db.models.fields.IntegerField', [], {})
},
u'orm.recipe': {
'Meta': {'object_name': 'Recipe'},
'bugtracker': ('django.db.models.fields.URLField', [], {'max_length': '200', 'blank': 'True'}),
'description': ('django.db.models.fields.CharField', [], {'max_length': '100', 'blank': 'True'}),
'file_path': ('django.db.models.fields.FilePathField', [], {'max_length': '255'}),
'homepage': ('django.db.models.fields.URLField', [], {'max_length': '200', 'blank': 'True'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'layer_version': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'recipe_layer_version'", 'to': u"orm['orm.Layer_Version']"}),
'license': ('django.db.models.fields.CharField', [], {'max_length': '200', 'blank': 'True'}),
'licensing_info': ('django.db.models.fields.TextField', [], {'blank': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '100', 'blank': 'True'}),
'section': ('django.db.models.fields.CharField', [], {'max_length': '100', 'blank': 'True'}),
'summary': ('django.db.models.fields.CharField', [], {'max_length': '100', 'blank': 'True'}),
'version': ('django.db.models.fields.CharField', [], {'max_length': '100', 'blank': 'True'})
},
u'orm.recipe_dependency': {
'Meta': {'object_name': 'Recipe_Dependency'},
'dep_type': ('django.db.models.fields.IntegerField', [], {}),
'depends_on': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'r_dependencies_depends'", 'to': u"orm['orm.Recipe']"}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'recipe': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'r_dependencies_recipe'", 'to': u"orm['orm.Recipe']"})
},
u'orm.target': {
'Meta': {'object_name': 'Target'},
'build': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['orm.Build']"}),
'file_name': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
'file_size': ('django.db.models.fields.IntegerField', [], {}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'is_image': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'target': ('django.db.models.fields.CharField', [], {'max_length': '100'})
},
u'orm.target_installed_package': {
'Meta': {'object_name': 'Target_Installed_Package'},
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'package': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['orm.Package']"}),
'target': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['orm.Target']"})
},
u'orm.task': {
'Meta': {'ordering': "('order', 'recipe')", 'object_name': 'Task'},
'build': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'task_build'", 'to': u"orm['orm.Build']"}),
'cpu_usage': ('django.db.models.fields.DecimalField', [], {'null': 'True', 'max_digits': '6', 'decimal_places': '2'}),
'disk_io': ('django.db.models.fields.IntegerField', [], {'null': 'True'}),
'elapsed_time': ('django.db.models.fields.CharField', [], {'default': '0', 'max_length': '50'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'line_number': ('django.db.models.fields.IntegerField', [], {'default': '0'}),
'logfile': ('django.db.models.fields.FilePathField', [], {'max_length': '255', 'blank': 'True'}),
'message': ('django.db.models.fields.CharField', [], {'max_length': '240'}),
'order': ('django.db.models.fields.IntegerField', [], {'null': 'True'}),
'outcome': ('django.db.models.fields.IntegerField', [], {'default': '5'}),
'path_to_sstate_obj': ('django.db.models.fields.FilePathField', [], {'max_length': '500', 'blank': 'True'}),
'recipe': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'build_recipe'", 'to': u"orm['orm.Recipe']"}),
'script_type': ('django.db.models.fields.IntegerField', [], {'default': '0'}),
'source_url': ('django.db.models.fields.FilePathField', [], {'max_length': '255', 'blank': 'True'}),
'sstate_checksum': ('django.db.models.fields.CharField', [], {'max_length': '100', 'blank': 'True'}),
'sstate_result': ('django.db.models.fields.IntegerField', [], {'default': '0'}),
'task_executed': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'task_name': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
'work_directory': ('django.db.models.fields.FilePathField', [], {'max_length': '255', 'blank': 'True'})
},
u'orm.task_dependency': {
'Meta': {'object_name': 'Task_Dependency'},
'depends_on': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'task_dependencies_depends'", 'to': u"orm['orm.Task']"}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'task': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'task_dependencies_task'", 'to': u"orm['orm.Task']"})
},
u'orm.variable': {
'Meta': {'object_name': 'Variable'},
'build': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'variable_build'", 'to': u"orm['orm.Build']"}),
'changed': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'description': ('django.db.models.fields.TextField', [], {'blank': 'True'}),
'human_readable_name': ('django.db.models.fields.CharField', [], {'max_length': '200'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'variable_name': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
'variable_value': ('django.db.models.fields.TextField', [], {'blank': 'True'})
},
u'orm.variablehistory': {
'Meta': {'object_name': 'VariableHistory'},
'file_name': ('django.db.models.fields.FilePathField', [], {'max_length': '255'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'line_number': ('django.db.models.fields.IntegerField', [], {'null': 'True'}),
'operation': ('django.db.models.fields.CharField', [], {'max_length': '16'}),
'variable': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['orm.Variable']"})
}
}
complete_apps = ['orm']
| 67.2825
| 159
| 0.598633
| 3,126
| 26,913
| 5.012476
| 0.049584
| 0.111813
| 0.19478
| 0.278256
| 0.862659
| 0.832344
| 0.778671
| 0.725573
| 0.67892
| 0.592252
| 0
| 0.012975
| 0.186713
| 26,913
| 400
| 160
| 67.2825
| 0.702897
| 0.031992
| 0
| 0.195195
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| 0
| 0.512086
| 0.326083
| 0
| 0
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| 0
| 0
| 1
| 0.006006
| false
| 0
| 0.012012
| 0
| 0.027027
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
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|
0
| 6
|
3b83bdfe7c9e9ea7d87363972773d66362900ef3
| 26,669
|
py
|
Python
|
tests/model/test_dataset.py
|
laughingman7743/BigQuery-DatasetManager
|
df5282a6e871fc434f51edede0b7140883332344
|
[
"MIT"
] | 7
|
2017-10-16T13:56:58.000Z
|
2020-09-02T14:58:27.000Z
|
tests/model/test_dataset.py
|
laughingman7743/BigQuery-DatasetManager
|
df5282a6e871fc434f51edede0b7140883332344
|
[
"MIT"
] | 19
|
2017-10-23T13:35:05.000Z
|
2018-07-01T14:32:26.000Z
|
tests/model/test_dataset.py
|
laughingman7743/BigQuery-DatasetManager
|
df5282a6e871fc434f51edede0b7140883332344
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
from __future__ import absolute_import
import unittest
from google.cloud.bigquery import AccessEntry
from bqdm.model.dataset import BigQueryAccessEntry, BigQueryDataset
from tests.util import make_dataset
class TestBigQueryAccessEntry(unittest.TestCase):
def test_eq(self):
access_entry1_1 = BigQueryAccessEntry(
'OWNER',
'specialGroup',
'projectOwners'
)
access_entry1_2 = BigQueryAccessEntry(
'OWNER',
'specialGroup',
'projectOwners'
)
self.assertEqual(access_entry1_1, access_entry1_2)
access_entry2_1 = BigQueryAccessEntry(
'READER',
'specialGroup',
'projectReaders'
)
access_entry2_2 = BigQueryAccessEntry(
'READER',
'userByEmail',
'a@b.c'
)
self.assertNotEqual(access_entry2_1, access_entry2_2)
access_entry3_1 = BigQueryAccessEntry(
'WRITER',
'specialGroup',
'projectWriters'
)
access_entry3_2 = BigQueryAccessEntry(
None,
'view',
{
'datasetId': 'test',
'projectId': 'test-project',
'tableId': 'test_table'
}
)
access_entry3_3 = BigQueryAccessEntry(
None,
'view',
{
'datasetId': 'test',
'projectId': 'test-project',
'tableId': 'foo_bar'
}
)
self.assertNotEqual(access_entry3_1, access_entry3_2)
self.assertNotEqual(access_entry3_2, access_entry3_3)
access_entry4_1 = BigQueryAccessEntry(
None,
'view',
{
'datasetId': 'test',
'projectId': 'test-project',
'tableId': 'test_table'
}
)
access_entry4_2 = BigQueryAccessEntry(
None,
'view',
{
'datasetId': 'test',
'projectId': 'test-project',
'tableId': 'test_table'
}
)
self.assertEqual(access_entry4_1, access_entry4_2)
def test_from_dict(self):
expected_access_entry1 = BigQueryAccessEntry(
'OWNER',
'specialGroup',
'projectOwners'
)
actual_access_entry1_1 = BigQueryAccessEntry.from_dict({
'role': 'OWNER',
'entity_type': 'specialGroup',
'entity_id': 'projectOwners'
})
self.assertEqual(expected_access_entry1, actual_access_entry1_1)
actual_access_entry1_2 = BigQueryAccessEntry.from_dict({
'role': 'WRITER',
'entity_type': 'specialGroup',
'entity_id': 'projectWriters'
})
self.assertNotEqual(expected_access_entry1, actual_access_entry1_2)
expected_access_entry2 = BigQueryAccessEntry(
None,
'view',
{
'datasetId': 'test',
'projectId': 'test-project',
'tableId': 'test_table'
}
)
actual_access_entry2_1 = BigQueryAccessEntry.from_dict({
'role': None,
'entity_type': 'view',
'entity_id': {
'datasetId': 'test',
'projectId': 'test-project',
'tableId': 'test_table'
}
})
self.assertEqual(expected_access_entry2, actual_access_entry2_1)
actual_access_entry2_2 = BigQueryAccessEntry.from_dict({
'role': None,
'entity_type': 'view',
'entity_id': {
'datasetId': 'test',
'projectId': 'test-project',
'tableId': 'foo_bar'
}
})
self.assertNotEqual(expected_access_entry2, actual_access_entry2_2)
def test_from_access_entry(self):
expected_access_entry1 = BigQueryAccessEntry(
'OWNER',
'specialGroup',
'projectOwners'
)
actual_access_entry1_1 = BigQueryAccessEntry.from_access_entry(
AccessEntry('OWNER', 'specialGroup', 'projectOwners'))
self.assertEqual(expected_access_entry1, actual_access_entry1_1)
actual_access_entry1_2 = BigQueryAccessEntry.from_access_entry(
AccessEntry('WRITER', 'specialGroup', 'projectWriters'))
self.assertNotEqual(expected_access_entry1, actual_access_entry1_2)
expected_access_entry2 = BigQueryAccessEntry(
None,
'view',
{
'datasetId': 'test',
'projectId': 'test-project',
'tableId': 'test_table'
}
)
actual_access_entry2_1 = BigQueryAccessEntry.from_access_entry(
AccessEntry(None, 'view', {
'datasetId': 'test',
'projectId': 'test-project',
'tableId': 'test_table'
})
)
self.assertEqual(expected_access_entry2, actual_access_entry2_1)
actual_access_entry2_2 = BigQueryAccessEntry.from_access_entry(
AccessEntry(None, 'view', {
'datasetId': 'test',
'projectId': 'test-project',
'tableId': 'foo_bar'
})
)
self.assertNotEqual(expected_access_entry2, actual_access_entry2_2)
def test_to_access_entry(self):
expected_access_entry1 = AccessEntry(
'OWNER',
'specialGroup',
'projectOwners'
)
actual_access_entry1_1 = BigQueryAccessEntry.to_access_entry(
BigQueryAccessEntry('OWNER', 'specialGroup', 'projectOwners'))
self.assertEqual(expected_access_entry1, actual_access_entry1_1)
actual_access_entry1_2 = BigQueryAccessEntry.to_access_entry(
BigQueryAccessEntry('WRITER', 'specialGroup', 'projectWriters'))
self.assertNotEqual(expected_access_entry1, actual_access_entry1_2)
expected_access_entry2 = AccessEntry(
None,
'view',
{
'datasetId': 'test',
'projectId': 'test-project',
'tableId': 'test_table'
}
)
actual_access_entry2_1 = BigQueryAccessEntry.to_access_entry(
BigQueryAccessEntry(None, 'view', {
'datasetId': 'test',
'projectId': 'test-project',
'tableId': 'test_table'
})
)
self.assertEqual(expected_access_entry2, actual_access_entry2_1)
actual_access_entry2_2 = BigQueryAccessEntry.to_access_entry(
BigQueryAccessEntry(None, 'view', {
'datasetId': 'test',
'projectId': 'test-project',
'tableId': 'foo_bar'
})
)
self.assertNotEqual(expected_access_entry2, actual_access_entry2_2)
class TestBigQueryDataset(unittest.TestCase):
def test_eq(self):
dataset1_1 = BigQueryDataset(
dataset_id='test',
friendly_name='test_friendly_name',
description='test_description',
default_table_expiration_ms=24 * 60 * 60 * 1000,
location='US'
)
dataset1_2 = BigQueryDataset(
dataset_id='test',
friendly_name='test_friendly_name',
description='test_description',
default_table_expiration_ms=24 * 60 * 60 * 1000,
location='US'
)
self.assertEqual(dataset1_1, dataset1_2)
dataset2_1 = BigQueryDataset(
dataset_id='test',
friendly_name='test_friendly_name',
description='test_description',
default_table_expiration_ms=24 * 60 * 60 * 1000,
location='US'
)
dataset2_2 = BigQueryDataset(
dataset_id='test',
friendly_name='fizz_buzz',
description='foo_bar',
default_table_expiration_ms=60 * 60 * 1000,
location='EU'
)
self.assertNotEqual(dataset2_1, dataset2_2)
access_entry1 = BigQueryAccessEntry(
'OWNER',
'specialGroup',
'projectOwners'
)
access_entry2 = BigQueryAccessEntry(
'OWNER',
'specialGroup',
'projectOwners'
)
access_entry3 = BigQueryAccessEntry(
None,
'view',
{
'datasetId': 'test',
'projectId': 'test-project',
'tableId': 'test_table'
}
)
dataset3_1 = BigQueryDataset(
dataset_id='test',
friendly_name='test_friendly_name',
description='test_description',
default_table_expiration_ms=24 * 60 * 60 * 1000,
location='US',
access_entries=(access_entry1, )
)
dataset3_2 = BigQueryDataset(
dataset_id='test',
friendly_name='test_friendly_name',
description='test_description',
default_table_expiration_ms=24 * 60 * 60 * 1000,
location='US',
access_entries=(access_entry1, )
)
self.assertEqual(dataset3_1, dataset3_2)
dataset4_1 = BigQueryDataset(
dataset_id='test',
friendly_name='test_friendly_name',
description='test_description',
default_table_expiration_ms=24 * 60 * 60 * 1000,
location='US',
access_entries=(access_entry1, )
)
dataset4_2 = BigQueryDataset(
dataset_id='foo',
friendly_name='bar',
description='test_description',
default_table_expiration_ms=24 * 60 * 60 * 1000,
location='US',
access_entries=(access_entry2, )
)
self.assertNotEqual(dataset4_1, dataset4_2)
dataset5_1 = BigQueryDataset(
dataset_id='foo',
friendly_name='bar',
description='test_description',
default_table_expiration_ms=24 * 60 * 60 * 1000,
location='US',
access_entries=(access_entry1, access_entry2)
)
dataset5_2 = BigQueryDataset(
dataset_id='foo',
friendly_name='bar',
description='test_description',
default_table_expiration_ms=24 * 60 * 60 * 1000,
location='US',
access_entries=(access_entry2, access_entry1)
)
dataset5_3 = BigQueryDataset(
dataset_id='foo',
friendly_name='bar',
description='test_description',
default_table_expiration_ms=24 * 60 * 60 * 1000,
location='US',
access_entries=[access_entry1, access_entry2]
)
self.assertEqual(dataset5_1, dataset5_2)
self.assertEqual(dataset5_1, dataset5_3)
self.assertEqual(dataset5_2, dataset5_3)
dataset6_1 = BigQueryDataset(
dataset_id='foo',
friendly_name='bar',
description='test_description',
default_table_expiration_ms=24 * 60 * 60 * 1000,
location='US',
access_entries=(access_entry1, access_entry2)
)
dataset6_2 = BigQueryDataset(
dataset_id='foo',
friendly_name='bar',
description='test_description',
default_table_expiration_ms=24 * 60 * 60 * 1000,
location='US',
access_entries=(access_entry3, )
)
dataset6_3 = BigQueryDataset(
dataset_id='foo',
friendly_name='bar',
description='test_description',
default_table_expiration_ms=24 * 60 * 60 * 1000,
location='US',
access_entries=(access_entry1, access_entry3)
)
self.assertNotEqual(dataset6_1, dataset6_2)
self.assertNotEqual(dataset6_1, dataset6_3)
self.assertNotEqual(dataset6_2, dataset6_3)
label1 = {
'foo': 'bar'
}
label2 = {
'fizz': 'buzz'
}
dataset7_1 = BigQueryDataset(
dataset_id='foo',
friendly_name='bar',
description='test_description',
default_table_expiration_ms=24 * 60 * 60 * 1000,
location='US',
labels=label1
)
dataset7_2 = BigQueryDataset(
dataset_id='foo',
friendly_name='bar',
description='test_description',
default_table_expiration_ms=24 * 60 * 60 * 1000,
location='US',
labels=label1
)
self.assertEqual(dataset7_1, dataset7_2)
dataset8_1 = BigQueryDataset(
dataset_id='foo',
friendly_name='bar',
description='test_description',
default_table_expiration_ms=24 * 60 * 60 * 1000,
location='US',
labels=label1
)
dataset8_2 = BigQueryDataset(
dataset_id='foo',
friendly_name='bar',
description='test_description',
default_table_expiration_ms=24 * 60 * 60 * 1000,
location='US',
labels=label2
)
self.assertNotEqual(dataset8_1, dataset8_2)
def test_from_dict(self):
expected_dataset1 = BigQueryDataset(
dataset_id='test',
friendly_name='test_friendly_name',
description='test_description',
default_table_expiration_ms=24 * 60 * 60 * 1000,
location='US'
)
actual_dataset1_1 = BigQueryDataset.from_dict({
'dataset_id': 'test',
'friendly_name': 'test_friendly_name',
'description': 'test_description',
'default_table_expiration_ms': 24 * 60 * 60 * 1000,
'location': 'US',
'labels': None,
'access_entries': None
})
self.assertEqual(expected_dataset1, actual_dataset1_1)
actual_dataset1_2 = BigQueryDataset.from_dict({
'dataset_id': 'test',
'friendly_name': 'foo_bar',
'description': 'fizz_buzz',
'default_table_expiration_ms': 60 * 60 * 1000,
'location': 'EU',
'labels': None,
'access_entries': None
})
self.assertNotEqual(expected_dataset1, actual_dataset1_2)
expected_dataset2 = BigQueryDataset(
dataset_id='test',
friendly_name='test_friendly_name',
description='test_description',
default_table_expiration_ms=24 * 60 * 60 * 1000,
location='US',
access_entries=(
BigQueryAccessEntry(
'OWNER',
'specialGroup',
'projectOwners'
),
)
)
actual_dataset2_1 = BigQueryDataset.from_dict({
'dataset_id': 'test',
'friendly_name': 'test_friendly_name',
'description': 'test_description',
'default_table_expiration_ms': 24 * 60 * 60 * 1000,
'location': 'US',
'labels': None,
'access_entries': [
{
'role': 'OWNER',
'entity_type': 'specialGroup',
'entity_id': 'projectOwners'
},
]
})
self.assertEqual(expected_dataset2, actual_dataset2_1)
actual_dataset2_2 = BigQueryDataset.from_dict({
'dataset_id': 'test',
'friendly_name': 'test_friendly_name',
'description': 'test_description',
'default_table_expiration_ms': 24 * 60 * 60 * 1000,
'location': 'US',
'labels': None,
'access_entries': [
{
'role': None,
'entity_type': 'view',
'entity_id': {
'datasetId': 'test',
'projectId': 'test-project',
'tableId': 'test_table'
}
},
]
})
self.assertNotEqual(expected_dataset2, actual_dataset2_2)
expected_dataset3 = BigQueryDataset(
dataset_id='test',
friendly_name='test_friendly_name',
description='test_description',
default_table_expiration_ms=24 * 60 * 60 * 1000,
location='US',
labels={
'foo': 'bar'
}
)
actual_dataset3_1 = BigQueryDataset.from_dict({
'dataset_id': 'test',
'friendly_name': 'test_friendly_name',
'description': 'test_description',
'default_table_expiration_ms': 24 * 60 * 60 * 1000,
'location': 'US',
'labels': {
'foo': 'bar'
},
'access_entries': None
})
self.assertEqual(expected_dataset3, actual_dataset3_1)
actual_dataset3_2 = BigQueryDataset.from_dict({
'dataset_id': 'test',
'friendly_name': 'test_friendly_name',
'description': 'test_description',
'default_table_expiration_ms': 24 * 60 * 60 * 1000,
'location': 'US',
'labels': {
'foo': 'bar',
'fizz': 'buzz'
},
'access_entries': None
})
self.assertNotEqual(expected_dataset3, actual_dataset3_2)
def test_from_dataset(self):
project = 'test'
expected_dataset1 = BigQueryDataset(
dataset_id='test',
friendly_name='test_friendly_name',
description='test_description',
default_table_expiration_ms=24 * 60 * 60 * 1000,
location='US'
)
actual_dataset1_1 = BigQueryDataset.from_dataset(make_dataset(
project=project,
dataset_id='test',
friendly_name='test_friendly_name',
description='test_description',
default_table_expiration_ms=24 * 60 * 60 * 1000,
location='US'
))
self.assertEqual(expected_dataset1, actual_dataset1_1)
actual_dataset1_2 = BigQueryDataset.from_dataset(make_dataset(
project=project,
dataset_id='test',
friendly_name='foo_bar',
description='fizz_buzz',
default_table_expiration_ms=60 * 60 * 1000,
location='EU'
))
self.assertNotEqual(expected_dataset1, actual_dataset1_2)
expected_dataset2 = BigQueryDataset(
dataset_id='test',
friendly_name='test_friendly_name',
description='test_description',
default_table_expiration_ms=24 * 60 * 60 * 1000,
location='US',
access_entries=(
BigQueryAccessEntry(
'OWNER',
'specialGroup',
'projectOwners'
),
)
)
actual_dataset2_1 = BigQueryDataset.from_dataset(make_dataset(
project=project,
dataset_id='test',
friendly_name='test_friendly_name',
description='test_description',
default_table_expiration_ms=24 * 60 * 60 * 1000,
location='US',
access_entries=(AccessEntry('OWNER', 'specialGroup', 'projectOwners'), )
))
self.assertEqual(expected_dataset2, actual_dataset2_1)
actual_dataset2_2 = BigQueryDataset.from_dataset(make_dataset(
project=project,
dataset_id='test',
friendly_name='test_friendly_name',
description='test_description',
default_table_expiration_ms=24 * 60 * 60 * 1000,
location='US',
access_entries=(AccessEntry(None, 'view', {
'datasetId': 'test',
'projectId': 'test-project',
'tableId': 'test_table'
}), )
))
self.assertNotEqual(expected_dataset2, actual_dataset2_2)
expected_dataset3 = BigQueryDataset(
dataset_id='test',
friendly_name='test_friendly_name',
description='test_description',
default_table_expiration_ms=24 * 60 * 60 * 1000,
location='US',
labels={
'foo': 'bar'
}
)
actual_dataset3_1 = BigQueryDataset.from_dataset(make_dataset(
project=project,
dataset_id='test',
friendly_name='test_friendly_name',
description='test_description',
default_table_expiration_ms=24 * 60 * 60 * 1000,
location='US',
labels={
'foo': 'bar'
}
))
self.assertEqual(expected_dataset3, actual_dataset3_1)
actual_dataset3_2 = BigQueryDataset.from_dataset(make_dataset(
project=project,
dataset_id='test',
friendly_name='test_friendly_name',
description='test_description',
default_table_expiration_ms=24 * 60 * 60 * 1000,
location='US',
labels={
'foo': 'bar',
'fizz': 'buzz'
}
))
self.assertNotEqual(expected_dataset3, actual_dataset3_2)
def test_to_dataset(self):
project = 'test'
expected_dataset1 = make_dataset(
project=project,
dataset_id='test',
friendly_name='test_friendly_name',
description='test_description',
default_table_expiration_ms=24 * 60 * 60 * 1000,
location='US'
)
actual_dataset1_1 = BigQueryDataset.to_dataset(project, BigQueryDataset(
dataset_id='test',
friendly_name='test_friendly_name',
description='test_description',
default_table_expiration_ms=24 * 60 * 60 * 1000,
location='US'
))
self.assertEqual(expected_dataset1.dataset_id, actual_dataset1_1.dataset_id)
self.assertEqual(expected_dataset1.friendly_name, actual_dataset1_1.friendly_name)
self.assertEqual(expected_dataset1.description, actual_dataset1_1.description)
self.assertEqual(expected_dataset1.default_table_expiration_ms,
actual_dataset1_1.default_table_expiration_ms)
self.assertEqual(expected_dataset1.location, actual_dataset1_1.location)
self.assertEqual(expected_dataset1.labels, actual_dataset1_1.labels)
self.assertEqual(expected_dataset1.access_entries, actual_dataset1_1.access_entries)
actual_dataset1_2 = BigQueryDataset.to_dataset(project, BigQueryDataset(
dataset_id='aaa',
friendly_name='foo_bar',
description='fizz_buzz',
default_table_expiration_ms=60 * 60 * 1000,
location='EU'
))
self.assertNotEqual(expected_dataset1.dataset_id, actual_dataset1_2.dataset_id)
self.assertNotEqual(expected_dataset1.friendly_name, actual_dataset1_2.friendly_name)
self.assertNotEqual(expected_dataset1.description, actual_dataset1_2.description)
self.assertNotEqual(expected_dataset1.default_table_expiration_ms,
actual_dataset1_2.default_table_expiration_ms)
self.assertNotEqual(expected_dataset1.location, actual_dataset1_2.location)
self.assertEqual(expected_dataset1.labels, actual_dataset1_2.labels)
self.assertEqual(expected_dataset1.access_entries, actual_dataset1_2.access_entries)
expected_dataset2 = make_dataset(
project=project,
dataset_id='test',
friendly_name='test_friendly_name',
description='test_description',
default_table_expiration_ms=24 * 60 * 60 * 1000,
location='US',
access_entries=(
AccessEntry(
'OWNER',
'specialGroup',
'projectOwners'
),
)
)
actual_dataset2_1 = BigQueryDataset.to_dataset(project, BigQueryDataset(
dataset_id='test',
friendly_name='test_friendly_name',
description='test_description',
default_table_expiration_ms=24 * 60 * 60 * 1000,
location='US',
access_entries=(
BigQueryAccessEntry('OWNER', 'specialGroup', 'projectOwners'),
)
))
self.assertEqual(expected_dataset2.access_entries, actual_dataset2_1.access_entries)
actual_dataset2_2 = BigQueryDataset.to_dataset(project, BigQueryDataset(
dataset_id='test',
friendly_name='test_friendly_name',
description='test_description',
default_table_expiration_ms=24 * 60 * 60 * 1000,
location='US',
access_entries=(
BigQueryAccessEntry(None, 'view', {
'datasetId': 'test',
'projectId': 'test-project',
'tableId': 'test_table'
}),
)
))
self.assertNotEqual(expected_dataset2.access_entries, actual_dataset2_2.access_entries)
expected_dataset3 = make_dataset(
project=project,
dataset_id='test',
friendly_name='test_friendly_name',
description='test_description',
default_table_expiration_ms=24 * 60 * 60 * 1000,
location='US',
labels={
'foo': 'bar'
}
)
actual_dataset3_1 = BigQueryDataset.to_dataset(project, BigQueryDataset(
dataset_id='test',
friendly_name='test_friendly_name',
description='test_description',
default_table_expiration_ms=24 * 60 * 60 * 1000,
location='US',
labels={
'foo': 'bar'
}
))
self.assertEqual(expected_dataset3.labels, actual_dataset3_1.labels)
actual_dataset3_2 = BigQueryDataset.to_dataset(project, BigQueryDataset(
dataset_id='test',
friendly_name='test_friendly_name',
description='test_description',
default_table_expiration_ms=24 * 60 * 60 * 1000,
location='US',
labels={
'foo': 'bar',
'fizz': 'buzz'
}
))
self.assertNotEqual(expected_dataset3.labels, actual_dataset3_2.labels)
| 35.990553
| 95
| 0.555101
| 2,303
| 26,669
| 6.070343
| 0.040816
| 0.067811
| 0.072103
| 0.08412
| 0.897639
| 0.853791
| 0.809728
| 0.798856
| 0.77382
| 0.758798
| 0
| 0.045559
| 0.349807
| 26,669
| 740
| 96
| 36.039189
| 0.760669
| 0.000787
| 0
| 0.664765
| 0
| 0
| 0.146889
| 0.00608
| 0
| 0
| 0
| 0
| 0.084165
| 1
| 0.011412
| false
| 0
| 0.007133
| 0
| 0.021398
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
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| null | 0
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| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
3b90c8e13a56dcae739a2c3aa841f29ad0decf06
| 40
|
py
|
Python
|
linkedrw/linkedw/__init__.py
|
CypherAk007/LinkedRW
|
167b8423f7229fff04ea2cbef6c29cb2ce01fb08
|
[
"MIT"
] | 114
|
2019-05-27T13:43:14.000Z
|
2021-11-30T02:29:01.000Z
|
linkedrw/linkedw/__init__.py
|
CypherAk007/LinkedRW
|
167b8423f7229fff04ea2cbef6c29cb2ce01fb08
|
[
"MIT"
] | 18
|
2019-06-02T15:22:15.000Z
|
2020-10-03T03:54:06.000Z
|
linkedrw/linkedw/__init__.py
|
CypherAk007/LinkedRW
|
167b8423f7229fff04ea2cbef6c29cb2ce01fb08
|
[
"MIT"
] | 16
|
2019-05-28T08:28:47.000Z
|
2021-08-02T09:25:55.000Z
|
from .website import make_website_files
| 20
| 39
| 0.875
| 6
| 40
| 5.5
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1
| 40
| 1
| 40
| 40
| 0.916667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
8e8e98d541bf3cd3776ccb413273e1a33bc8ebaa
| 262
|
py
|
Python
|
intervention/windows.py
|
deepettas/intervention
|
6bf6e77c58abc66bc434a986a1dc18313cb5d3ba
|
[
"MIT"
] | 4
|
2015-05-07T16:04:49.000Z
|
2021-07-12T14:06:05.000Z
|
intervention/windows.py
|
deepettas/intervention
|
6bf6e77c58abc66bc434a986a1dc18313cb5d3ba
|
[
"MIT"
] | 9
|
2015-03-21T07:24:54.000Z
|
2015-05-22T17:27:49.000Z
|
intervention/windows.py
|
deepettas/intervention
|
6bf6e77c58abc66bc434a986a1dc18313cb5d3ba
|
[
"MIT"
] | 2
|
2015-05-08T11:47:51.000Z
|
2019-09-29T12:49:32.000Z
|
import win32api
# TODO: probably possible via:
# widget.setCursor(Qt.BlankCursor)
# widget.unsetCursor()
def hide_cursor():
pass
def show_cursor():
pass
def get_idle_time():
return (win32api.GetTickCount() - win32api.GetLastInputInfo()) / 1000
| 15.411765
| 73
| 0.717557
| 30
| 262
| 6.133333
| 0.766667
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| 0.164122
| 262
| 16
| 74
| 16.375
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| true
| 0.285714
| 0.142857
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| 1
| 0
|
0
| 6
|
8eb0b4b74db93c1ddf03f0ccd295c8970a3f4c62
| 179
|
py
|
Python
|
src/_shims/django/sl_handler.py
|
lyk082401/tencent-framework-components
|
97c001520604ea54a3ee8e78c177dc421942dc8c
|
[
"MIT"
] | 25
|
2021-03-18T09:21:47.000Z
|
2022-03-28T01:18:06.000Z
|
src/_shims/django/sl_handler.py
|
lyk082401/tencent-framework-components
|
97c001520604ea54a3ee8e78c177dc421942dc8c
|
[
"MIT"
] | 12
|
2020-11-10T11:49:54.000Z
|
2021-02-01T11:27:37.000Z
|
src/_shims/django/sl_handler.py
|
lyk082401/tencent-framework-components
|
97c001520604ea54a3ee8e78c177dc421942dc8c
|
[
"MIT"
] | 5
|
2021-04-03T07:24:28.000Z
|
2022-02-20T04:11:30.000Z
|
import serverless_wsgi
import {{django_project}}.wsgi
def handler(event, context):
return serverless_wsgi.handle_request({{django_project}}.wsgi.application, event, context)
| 29.833333
| 94
| 0.798883
| 22
| 179
| 6.272727
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| 179
| 5
| 95
| 35.8
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|
0
| 6
|
8eb89012df1da12ab1c8f89eeeda553104c49abb
| 785
|
py
|
Python
|
venv/Lib/site-packages/IPython/lib/__init__.py
|
ajayiagbebaku/NFL-Model
|
afcc67a85ca7138c58c3334d45988ada2da158ed
|
[
"MIT"
] | 6,989
|
2017-07-18T06:23:18.000Z
|
2022-03-31T15:58:36.000Z
|
venv/Lib/site-packages/IPython/lib/__init__.py
|
ajayiagbebaku/NFL-Model
|
afcc67a85ca7138c58c3334d45988ada2da158ed
|
[
"MIT"
] | 1,978
|
2017-07-18T09:17:58.000Z
|
2022-03-31T14:28:43.000Z
|
venv/Lib/site-packages/IPython/lib/__init__.py
|
ajayiagbebaku/NFL-Model
|
afcc67a85ca7138c58c3334d45988ada2da158ed
|
[
"MIT"
] | 1,228
|
2017-07-18T09:03:13.000Z
|
2022-03-29T05:57:40.000Z
|
# encoding: utf-8
"""
Extra capabilities for IPython
"""
#-----------------------------------------------------------------------------
# Copyright (C) 2008-2011 The IPython Development Team
#
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING, distributed as part of this software.
#-----------------------------------------------------------------------------
#-----------------------------------------------------------------------------
# Imports
#-----------------------------------------------------------------------------
from IPython.lib.security import passwd
#-----------------------------------------------------------------------------
# Code
#-----------------------------------------------------------------------------
| 35.681818
| 78
| 0.29172
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| 785
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| 0.082803
| 785
| 21
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0
| 6
|
d92b2ae76f0747a22ce82e007d76e2ac710f28ce
| 27
|
py
|
Python
|
src/euler_python_package/euler_python/medium/p298.py
|
wilsonify/euler
|
5214b776175e6d76a7c6d8915d0e062d189d9b79
|
[
"MIT"
] | null | null | null |
src/euler_python_package/euler_python/medium/p298.py
|
wilsonify/euler
|
5214b776175e6d76a7c6d8915d0e062d189d9b79
|
[
"MIT"
] | null | null | null |
src/euler_python_package/euler_python/medium/p298.py
|
wilsonify/euler
|
5214b776175e6d76a7c6d8915d0e062d189d9b79
|
[
"MIT"
] | null | null | null |
def problem298():
pass
| 9
| 17
| 0.62963
| 3
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| 27
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|
0
| 6
|
d98790cb1f77740344be04d6d4d22209b3242940
| 10,119
|
py
|
Python
|
Code/Chenglong/utils/xgb_utils.py
|
ChenglongChen/Kaggle_Homedepot
|
55c1033d0af3b6cf2f033fe4bcf3e1e0ffda3445
|
[
"MIT"
] | 465
|
2016-04-27T13:17:36.000Z
|
2020-05-15T11:05:13.000Z
|
Code/Chenglong/utils/xgb_utils.py
|
CharlotteSean/Kaggle_HomeDepot
|
55c1033d0af3b6cf2f033fe4bcf3e1e0ffda3445
|
[
"MIT"
] | 1
|
2016-10-15T04:33:54.000Z
|
2016-10-15T04:33:54.000Z
|
Code/Chenglong/utils/xgb_utils.py
|
CharlotteSean/Kaggle_HomeDepot
|
55c1033d0af3b6cf2f033fe4bcf3e1e0ffda3445
|
[
"MIT"
] | 230
|
2016-04-30T06:35:17.000Z
|
2019-12-04T08:23:22.000Z
|
# -*- coding: utf-8 -*-
"""
@author: Chenglong Chen <c.chenglong@gmail.com>
@brief: utils for XGBoost models
"""
import numpy as np
import matplotlib
matplotlib.use('Agg')
import xgboost as xgb
class XGBRegressor:
def __init__(self, booster='gbtree', base_score=0., colsample_bylevel=1.,
colsample_bytree=1., gamma=0., learning_rate=0.1, max_delta_step=0.,
max_depth=6, min_child_weight=1., missing=None, n_estimators=100,
nthread=1, objective='reg:linear', reg_alpha=1., reg_lambda=0.,
reg_lambda_bias=0., seed=0, silent=True, subsample=1.):
self.param = {
"objective": objective,
"booster": booster,
"eta": learning_rate,
"max_depth": max_depth,
"colsample_bylevel": colsample_bylevel,
"colsample_bytree": colsample_bytree,
"subsample": subsample,
"min_child_weight": min_child_weight,
"gamma": gamma,
"alpha": reg_alpha,
"lambda": reg_lambda,
"lambda_bias": reg_lambda_bias,
"seed": seed,
"silent": 1 if silent else 0,
"nthread": nthread,
"max_delta_step": max_delta_step,
}
self.missing = missing if missing is not None else np.nan
self.n_estimators = n_estimators
self.base_score = base_score
def __str__(self):
return self.__repr__()
def __repr__(self):
return ("%s(booster=\'%s\', base_score=%f, colsample_bylevel=%f, \n"
"colsample_bytree=%f, gamma=%f, learning_rate=%f, max_delta_step=%f, \n"
"max_depth=%d, min_child_weight=%f, missing=\'%s\', n_estimators=%d, \n"
"nthread=%d, objective=\'%s\', reg_alpha=%f, reg_lambda=%f, \n"
"reg_lambda_bias=%f, seed=%d, silent=%d, subsample=%f)" % (
self.__class__.__name__,
self.param["booster"],
self.base_score,
self.param["colsample_bylevel"],
self.param["colsample_bytree"],
self.param["gamma"],
self.param["eta"],
self.param["max_delta_step"],
self.param["max_depth"],
self.param["min_child_weight"],
str(self.missing),
self.n_estimators,
self.param["nthread"],
self.param["objective"],
self.param["alpha"],
self.param["lambda"],
self.param["lambda_bias"],
self.param["seed"],
self.param["silent"],
self.param["subsample"],
))
def fit(self, X, y, feature_names=None):
data = xgb.DMatrix(X, label=y, missing=self.missing, feature_names=feature_names)
data.set_base_margin(self.base_score*np.ones(X.shape[0]))
self.model = xgb.train(self.param, data, self.n_estimators)
return self
def predict(self, X, feature_names=None):
data = xgb.DMatrix(X, missing=self.missing, feature_names=feature_names)
data.set_base_margin(self.base_score*np.ones(X.shape[0]))
y_pred = self.model.predict(data)
return y_pred
def plot_importance(self):
ax = xgb.plot_importance(self.model)
self.save_topn_features()
return ax
def save_topn_features(self, fname="XGBRegressor_topn_features.txt", topn=-1):
ax = xgb.plot_importance(self.model)
yticklabels = ax.get_yticklabels()[::-1]
if topn == -1:
topn = len(yticklabels)
else:
topn = min(topn, len(yticklabels))
with open(fname, "w") as f:
for i in range(topn):
f.write("%s\n"%yticklabels[i].get_text())
class XGBClassifier:
def __init__(self, num_class=2, booster='gbtree', base_score=0., colsample_bylevel=1.,
colsample_bytree=1., gamma=0., learning_rate=0.1, max_delta_step=0.,
max_depth=6, min_child_weight=1., missing=None, n_estimators=100,
nthread=1, objective='multi:softprob', reg_alpha=1., reg_lambda=0.,
reg_lambda_bias=0., seed=0, silent=True, subsample=1.):
self.param = {
"objective": objective,
"booster": booster,
"eta": learning_rate,
"max_depth": max_depth,
"colsample_bylevel": colsample_bylevel,
"colsample_bytree": colsample_bytree,
"subsample": subsample,
"min_child_weight": min_child_weight,
"gamma": gamma,
"alpha": reg_alpha,
"lambda": reg_lambda,
"lambda_bias": reg_lambda_bias,
"seed": seed,
"silent": 1 if silent else 0,
"nthread": nthread,
"max_delta_step": max_delta_step,
"num_class": num_class,
}
self.missing = missing if missing is not None else np.nan
self.n_estimators = n_estimators
self.base_score = base_score
self.num_class = num_class
def __str__(self):
return self.__repr__()
def __repr__(self):
return ("%s(num_class=%d, booster=\'%s\', base_score=%f, colsample_bylevel=%f, \n"
"colsample_bytree=%f, gamma=%f, learning_rate=%f, max_delta_step=%f, \n"
"max_depth=%d, min_child_weight=%f, missing=\'%s\', n_estimators=%d, \n"
"nthread=%d, objective=\'%s\', reg_alpha=%f, reg_lambda=%f, \n"
"reg_lambda_bias=%f, seed=%d, silent=%d, subsample=%f)" % (
self.__class__.__name__,
self.num_class,
self.param["booster"],
self.base_score,
self.param["colsample_bylevel"],
self.param["colsample_bytree"],
self.param["gamma"],
self.param["eta"],
self.param["max_delta_step"],
self.param["max_depth"],
self.param["min_child_weight"],
str(self.missing),
self.n_estimators,
self.param["nthread"],
self.param["objective"],
self.param["alpha"],
self.param["lambda"],
self.param["lambda_bias"],
self.param["seed"],
self.param["silent"],
self.param["subsample"],
))
def fit(self, X, y, feature_names=None):
data = xgb.DMatrix(X, label=y, missing=self.missing, feature_names=feature_names)
data.set_base_margin(self.base_score*np.ones(X.shape[0] * self.num_class))
self.model = xgb.train(self.param, data, self.n_estimators)
return self
def predict_proba(self, X, feature_names=None):
data = xgb.DMatrix(X, missing=self.missing, feature_names=feature_names)
data.set_base_margin(self.base_score*np.ones(X.shape[0] * self.num_class))
proba = self.model.predict(data)
proba = proba.reshape(X.shape[0], self.num_class)
return proba
def predict(self, X, feature_names=None):
proba = self.predict_proba(X, feature_names=feature_names)
y_pred = np.argmax(proba, axis=1)
return y_pred
def plot_importance(self):
ax = xgb.plot_importance(self.model)
self.save_topn_features()
return ax
def save_topn_features(self, fname="XGBClassifier_topn_features.txt", topn=10):
ax = xgb.plot_importance(self.model)
yticklabels = ax.get_yticklabels()[::-1]
if topn == -1:
topn = len(yticklabels)
else:
topn = min(topn, len(yticklabels))
with open(fname, "w") as f:
for i in range(topn):
f.write("%s\n"%yticklabels[i].get_text())
class HomedepotXGBClassifier(XGBClassifier):
def __init__(self, booster='gbtree', base_score=0., colsample_bylevel=1.,
colsample_bytree=1., gamma=0., learning_rate=0.1, max_delta_step=0.,
max_depth=6, min_child_weight=1., missing=None, n_estimators=100,
nthread=1, objective='multi:softprob', reg_alpha=1., reg_lambda=0.,
reg_lambda_bias=0., seed=0, silent=True, subsample=1.):
super().__init__(num_class=1, booster=booster, base_score=base_score,
colsample_bylevel=colsample_bylevel, colsample_bytree=colsample_bytree,
gamma=gamma, learning_rate=learning_rate, max_delta_step=max_delta_step,
max_depth=max_depth, min_child_weight=min_child_weight, missing=missing,
n_estimators=n_estimators, nthread=nthread, objective=objective,
reg_alpha=reg_alpha, reg_lambda=reg_lambda, reg_lambda_bias=reg_lambda_bias,
seed=seed, silent=silent, subsample=subsample)
# encode relevance to label
self.encoder = {
1.00: 0,
1.25: 1,
1.33: 2,
1.50: 3,
1.67: 4,
1.75: 5,
2.00: 6,
2.25: 7,
2.33: 8,
2.50: 9,
2.67: 10,
2.75: 11,
3.00: 12,
}
# decode label to relevance
self.decoder = {v:k for k,v in self.encoder.items()}
self.num_class = len(self.encoder.keys())
self.param["num_class"] = self.num_class
def fit(self, X, y):
# encode relevance to label
y = list(map(self.encoder.get, y))
y = np.asarray(y, dtype=int)
super().fit(X, y)
return self
def predict(self, X):
y_pred = super().predict(X)
# decode label to relevance
y_pred = list(map(self.decoder.get, y_pred))
y_pred = np.asarray(y_pred, dtype=float)
return y_pred
| 41.134146
| 101
| 0.549066
| 1,206
| 10,119
| 4.359038
| 0.126866
| 0.063344
| 0.029675
| 0.022827
| 0.78657
| 0.784288
| 0.766026
| 0.760129
| 0.741297
| 0.741297
| 0
| 0.018934
| 0.326712
| 10,119
| 245
| 102
| 41.302041
| 0.752679
| 0.020457
| 0
| 0.7277
| 0
| 0.004695
| 0.13759
| 0.010405
| 0
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| 0
| 1
| 0.084507
| false
| 0
| 0.042254
| 0.018779
| 0.201878
| 0
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| 0
| null | 0
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| 1
| 1
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| 0
| 0
| 0
|
0
| 6
|
79473de28bb296633be3b8479f7f82aefaa21c94
| 413
|
py
|
Python
|
python/schuelerpraktika/sascha_mueller/Aufgaben/Aufgabe8.py
|
maximilianharr/code_snippets
|
8b271e6fa9174e24200e88be59e417abd5f2f59a
|
[
"BSD-3-Clause"
] | null | null | null |
python/schuelerpraktika/sascha_mueller/Aufgaben/Aufgabe8.py
|
maximilianharr/code_snippets
|
8b271e6fa9174e24200e88be59e417abd5f2f59a
|
[
"BSD-3-Clause"
] | null | null | null |
python/schuelerpraktika/sascha_mueller/Aufgaben/Aufgabe8.py
|
maximilianharr/code_snippets
|
8b271e6fa9174e24200e88be59e417abd5f2f59a
|
[
"BSD-3-Clause"
] | null | null | null |
#-*- coding: utf-8 -*-
# @todo Auch importieren aus anderen Datei klassen.py
import time
import Printme
Printme.printme ("Max muss 50 Euro an Mr.X überweisen, weil er gegen ihn im Wetten\nin einem Online spiel verloren hat."); time.sleep(0.5)
print
Printme.printme ("Nun will er von seinen 100€ 50€ überweisen und zeigt uns die Kontostände vor und\nnach der Überweisung."); time.sleep(0.5)
print
import Klassen
| 34.416667
| 140
| 0.755448
| 71
| 413
| 4.422535
| 0.746479
| 0.133758
| 0.063694
| 0.070064
| 0.101911
| 0
| 0
| 0
| 0
| 0
| 0
| 0.034091
| 0.1477
| 413
| 11
| 141
| 37.545455
| 0.852273
| 0.176755
| 0
| 0.285714
| 0
| 0.285714
| 0.60355
| 0
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| 0
| 0
| 0.090909
| 0
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| 0
| true
| 0
| 0.428571
| 0
| 0.428571
| 0.571429
| 0
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| null | 0
| 0
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| 0
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| 0
| 0
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| 0
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| 1
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
|
0
| 6
|
7999e01b2c6da5ec9e67c12765d273dc86b186d7
| 29,590
|
py
|
Python
|
python/src/nnabla/parametric_functions.py
|
PAC-P2P/nnabla
|
bb7e7d52555a5bc145ec3c9a2e152fa5b11574de
|
[
"Apache-2.0"
] | null | null | null |
python/src/nnabla/parametric_functions.py
|
PAC-P2P/nnabla
|
bb7e7d52555a5bc145ec3c9a2e152fa5b11574de
|
[
"Apache-2.0"
] | null | null | null |
python/src/nnabla/parametric_functions.py
|
PAC-P2P/nnabla
|
bb7e7d52555a5bc145ec3c9a2e152fa5b11574de
|
[
"Apache-2.0"
] | 1
|
2020-08-19T08:32:51.000Z
|
2020-08-19T08:32:51.000Z
|
# Copyright (c) 2017 Sony Corporation. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import numpy as np
import nnabla as nn
import nnabla.functions as F
from nnabla.parameter import get_parameter_or_create, get_parameter
from nnabla.initializer import (
calc_uniform_lim_glorot,
ConstantInitializer, NormalInitializer, UniformInitializer)
def parametric_function_api(scope_name=None):
"""Decorator for parametric functions.
The decorated function is always called under
a parameter scope ``scope_name``.
Also, the decorator adds an additional argument ``name`` (:obj:`str`,
default is ``None``) at the end. If ``name`` is specified, the
scope ``scope_name`` comes under a scope ``name``. This feature
could reduce vertical space usage of the source code.
Any parametric function should be decoreated by this.
Args:
scope_name (str, optional): The original function will be called
under a parameter scope named by ``scope_name``.
Returns:
function: A decorated parametric function.
"""
if scope_name is None:
scope_name = name
def parametric_function_api_inside(func):
import inspect
name = func.__name__
doc = func.__doc__ + """
Note:
If the ``name`` option is passed, the parameters become wrapped inside the parameter scope
with the specified name, yielding the same results as the following code.
This can be used to simplify the code.
.. code-block:: python
with parametric_scope(name):
output = {name}(<args>)
""".format(name=name)
spec = inspect.getargspec(func)
defaults = spec.defaults
if defaults is None:
defaults = tuple() # None will be appended later
signature = inspect.formatargspec(
spec.args + ['name'],
spec.varargs, spec.keywords,
defaults + (None,))
shortsignature = inspect.formatargspec(
spec.args, spec.varargs, spec.keywords, None)
code = """
def {name}{signature}:
if name is None:
with parameter_scope(scope_name):
return func{shortsignature}
with parameter_scope(name):
with parameter_scope(scope_name):
return func{shortsignature}
""".format(**locals())
execdict = dict(
func=func, parameter_scope=nn.parameter_scope, scope_name=scope_name)
exec code in execdict
newfunc = execdict[name]
newfunc.__doc__ = doc
newfunc.__parametric_function_api_base__ = func
newfunc.__scope_name__ = scope_name
newfunc.__module__ = __name__
return newfunc
return parametric_function_api_inside
@parametric_function_api("affine")
def affine(inp, n_outmaps,
base_axis=1,
w_init=None, b_init=None,
fix_parameters=False, rng=None, with_bias=True):
"""
The affine layer, also known as the fully connected layer. Computes
.. math::
{\\mathbf y} = {\\mathbf A} {\\mathbf x} + {\\mathbf b}.
where :math:`{\\mathbf x}, {\\mathbf y}` are the inputs and outputs respectively,
and :math:`{\\mathbf A}, {\\mathbf b}` are constants.
Args:
inp (~nnabla.Variable): Input N-D array with shape (:math:`M_0 \\times \ldots \\times M_{B-1} \\times D_B \\times \ldots \\times D_N`). Dimensions before and after base_axis are flattened as if it is a matrix.
n_outmaps (:obj:`int` or :obj:`tuple` of :obj:`int`): Number of output neurons per data.
base_axis (int): Dimensions up to `base_axis` are treated as the sample dimensions.
w_init (~nnabla.initializer.BaseInitializer): Initializer for weight.
b_init (~nnabla.initializer.BaseInitializer): Initializer for bias.
fix_parameters (bool): When set to `True`, the weights and biases will not be updated.
rng (numpy.random.RandomState): Random generator for Initializer.
with_bias (bool): Specify whether to include the bias term.
Returns:
:class:`~nnabla.Variable`: :math:`(B + 1)`-D array. (:math:`M_0 \\times \ldots \\times M_{B-1} \\times L`)f
"""
if not hasattr(n_outmaps, '__iter__'):
n_outmaps = [n_outmaps]
n_outmaps = list(n_outmaps)
n_outmap = int(np.prod(n_outmaps))
if w_init is None:
inmaps = np.prod(inp.shape[base_axis:])
w_init = UniformInitializer(
calc_uniform_lim_glorot(inmaps, n_outmap), rng=rng)
if with_bias and b_init is None:
b_init = ConstantInitializer()
w = get_parameter_or_create(
"W", [int(np.prod(inp.shape[base_axis:]))] + n_outmaps,
w_init, not fix_parameters)
b = None
if with_bias:
b = get_parameter_or_create(
"b", n_outmaps, b_init, not fix_parameters)
return F.affine(inp, w, b, base_axis)
@parametric_function_api("bicon_affine")
def binary_connect_affine(inp, n_outmaps,
base_axis=1,
w_init=None, wb_init=None, b_init=None,
fix_parameters=False, rng=None, with_bias=True):
"""Binary Connect Affine, multiplier-less inner-product.
Binary Connect Affine is an affine function,
except the definition of the inner product is modified.
The input-output relation of this function is as follows:
.. math::
y_i = \sum_{i} sign(w_i) x_i.
Therefore :math:`sign(w_i)` is either :math:`1` or :math:`-1` and the inner product
simplifies to addition.
This function should be used together with Batch Normalization.
References:
M. Courbariaux, Y. Bengio, and J.-P. David. "BinaryConnect:
Training Deep Neural Networks with binary weights during propagations."
Advances in Neural Information Processing Systems. 2015.
.. note::
1) if you would like to share weights between some layers, please
make sure to share the standard, floating value weights (`weight`)
and not the binarized weights (`binary_weight`)
2) The weights and the binary weights become synced only after :func:`~nnabla._variable.Variable.forward` is called,
and not after a call to :func:`~nnabla._variable.Variable.backward`.
To access the parameters of the network, remember to call :func:`~nnabla._variable.Variable.forward` once before doing so, otherwise the
float weights and the binary weights will not be in sync.
3) CPU and GPU implementations now use float value for `binary_weight`,
since this function is only for simulation purposes.
Args:
inp (~nnabla.Variable): Input N-D array with shape (:math:`M_0 \\times \ldots \\times M_{B-1} \\times D_B \\times \ldots \\times D_N`). Dimensions before and after base_axis are flattened as if it is a matrix.
n_outmaps (int or :obj:`tuple` of :obj:`int`): Number of output neurons per data.
base_axis (int): Dimensions up to `base_axis` are treated as the sample dimensions.
w_init (~nnabla.initializer.BaseInitializer): Initializer for weight.
wb_init (~nnabla.initializer.BaseInitializer): Initializer for binary weight.
b_init (~nnabla.initializer.BaseInitializer): Initializer for bias.
fix_parameters (bool): When set to `True`, the weights and biases will not be updated.
rng (numpy.random.RandomState): Random generator for Initializer.
Returns:
:class:`~nnabla.Variable`
"""
if not hasattr(n_outmaps, '__iter__'):
n_outmaps = [n_outmaps]
n_outmaps = list(n_outmaps)
n_outmap = int(np.prod(n_outmaps))
if w_init is None:
fan_in = np.prod(inp.shape[base_axis:])
w_init = UniformInitializer(
calc_uniform_lim_glorot(fan_in, n_outmap), rng=rng)
if wb_init is None:
fan_in = np.prod(inp.shape[base_axis:])
wb_init = UniformInitializer(
calc_uniform_lim_glorot(fan_in, n_outmap), rng=rng)
if b_init is None:
b_init = ConstantInitializer()
w = get_parameter_or_create(
"W", [int(np.prod(inp.shape[base_axis:]))] + n_outmaps,
w_init, not fix_parameters)
wb = get_parameter_or_create(
"Wb", [int(np.prod(inp.shape[base_axis:]))] + n_outmaps,
wb_init, not fix_parameters)
b = None
if with_bias:
b = get_parameter_or_create(
"b", n_outmaps, b_init, not fix_parameters)
return F.binary_connect_affine(inp, w, wb, b, base_axis)
@parametric_function_api("bwn_affine")
def binary_weight_affine(inp, n_outmaps,
base_axis=1,
w_init=None, wb_init=None, b_init=None,
fix_parameters=False, rng=None, with_bias=True):
"""Binary Weight Affine, multiplier-less inner-product with a scale factor.
Binary Weight Affine is the affine function, but the inner product
in this function is the following,
.. math::
y_j = \\frac{1}{\\|\\mathbf{w}_j\\|_{\\ell_1}} \sum_{i} sign(w_{ji}) x_i
Therefore :math:`sign(w_{ji})` is either :math:`1` or :math:`-1` and the inner product
simplifies to addition followed by scaling factor :math:`\\alpha = \\frac{1}{\\|\\mathbf{w}_j\\|_{\\ell_1}}`.
The number of ::math:`\\alpha` is the outmaps of the affine function.
References:
Rastegari, Mohammad, et al. "XNOR-Net: ImageNet Classification Using
Binary Convolutional Neural Networks." arXiv preprint
arXiv:1603.05279 (2016).
.. note::
1) if you would like to share weights between some layers, please
make sure to share the standard, floating value weights (`weight`)
and not the binarized weights (`binary_weight`)
2) The weights and the binary weights become synced only after :func:`~nnabla._variable.Variable.forward` is called,
and not after a call to :func:`~nnabla._variable.Variable.backward`.
To access the parameters of the network, remember to call :func:`~nnabla._variable.Variable.forward` once before doing so, otherwise the
float weights and the binary weights will not be in sync.
3) CPU and GPU implementations now use float value for `binary_weight`,
since this function is only for simulation purposes.
Args:
inp (~nnabla.Variable): Input N-D array with shape (:math:`M_0 \\times \ldots \\times M_{B-1} \\times D_B \\times \ldots \\times D_N`). Dimensions before and after base_axis are flattened as if it was a matrix.
n_outmaps (int or :obj:`tuple` of :obj:`int`): Number of output neurons per data.
base_axis (int): Dimensions up to `base_axis` are treated as the sample dimensions.
w_init (~nnabla.initializer.BaseInitializer): Initializer for the weight.
wb_init (~nnabla.initializer.BaseInitializer): Initializer for the binary weight.
b_init (~nnabla.initializer.BaseInitializer): Initializer for the bias.
fix_parameters (bool): When set to `True`, the weight and bias will not be updated.
rng (numpy.random.RandomState): Random generator for Initializer.
with_bias (bool): Specify whether to include the bias term.
Returns:
:class:`~nnabla.Variable`
"""
if not hasattr(n_outmaps, '__iter__'):
n_outmaps = [n_outmaps]
n_outmaps = list(n_outmaps)
n_outmap = int(np.prod(n_outmaps))
if w_init is None:
fan_in = np.prod(inp.shape[base_axis:])
w_init = UniformInitializer(
calc_uniform_lim_glorot(fan_in, n_outmap), rng=rng)
if wb_init is None:
fan_in = np.prod(inp.shape[base_axis:])
wb_init = UniformInitializer(
calc_uniform_lim_glorot(fan_in, n_outmap), rng=rng)
if b_init is None:
b_init = ConstantInitializer()
w = get_parameter_or_create(
"W", [int(np.prod(inp.shape[base_axis:]))] + n_outmaps,
w_init, not fix_parameters)
wb = get_parameter_or_create(
"Wb", [int(np.prod(inp.shape[base_axis:]))] + n_outmaps,
wb_init, not fix_parameters)
alpha = get_parameter_or_create(
"alpha", n_outmaps, ConstantInitializer(0), False)
b = None
if with_bias:
b = get_parameter_or_create(
"b", n_outmaps, b_init, not fix_parameters)
return F.binary_weight_affine(inp, w, wb, alpha, b, base_axis)
@parametric_function_api("conv")
def convolution(inp, outmaps, kernel,
pad=None, stride=None, dilation=None, group=1,
w_init=None, b_init=None,
base_axis=1, fix_parameters=False, rng=None, with_bias=True):
"""
N-D Convolution with a bias term.
For Dilated Convolution (a.k.a. Atrous Convolusion), refer to:
- Chen et al., DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs. https://arxiv.org/abs/1606.00915
- Yu et al., Multi-Scale Context Aggregation by Dilated Convolutions. https://arxiv.org/abs/1511.07122
Args:
inp (~nnabla.Variable): N-D array.
outmaps (int): Number of convolution kernels (which is equal to the number of output channels). For example, to apply convolution on an input with 16 types of filters, specify 16.
kernel (:obj:`tuple` of :obj:`int`): Convolution kernel size. For example, to apply convolution on an image with a 3 (height) by 5 (width) two-dimensional kernel, specify (3,5).
pad (:obj:`tuple` of :obj:`int`): Padding sizes for dimensions.
stride (:obj:`tuple` of :obj:`int`): Stride sizes for dimensions.
dilation (:obj:`tuple` of :obj:`int`): Dilation sizes for dimensions.
group (int): Number of groups of channels. This makes connections across channels more sparse by grouping connections along map direction.
w_init (~nnabla.initializer.BaseInitializer): Initializer for weight.
b_init (~nnabla.initializer.BaseInitializer): Initializer for bias.
base_axis (int): Dimensions up to `base_axis` are treated as the sample dimensions.
fix_parameters (bool): When set to `True`, the weights and biases will not be updated.
rng (numpy.random.RandomState): Random generator for Initializer.
with_bias (bool): Specify whether to include the bias term.
Returns:
:class:`~nnabla.Variable`: N-D array.
"""
if w_init is None:
w_init = UniformInitializer(
calc_uniform_lim_glorot(inp.shape[base_axis], outmaps, tuple(kernel)), rng=rng)
if with_bias and b_init is None:
b_init = ConstantInitializer()
w = get_parameter_or_create(
"W", (outmaps, inp.shape[base_axis] / group) + tuple(kernel),
w_init, not fix_parameters)
b = None
if with_bias:
b = get_parameter_or_create(
"b", (outmaps,), b_init, not fix_parameters)
return F.convolution(inp, w, b, base_axis, pad, stride, dilation, group)
@parametric_function_api("bicon_conv")
def binary_connect_convolution(inp, outmaps, kernel,
pad=None, stride=None, dilation=None, group=1,
w_init=None, wb_init=None, b_init=None,
base_axis=1, fix_parameters=False, rng=None,
with_bias=True):
"""Binary Connect Convolution, multiplier-less inner-product.
Binary Connect Convolution is the convolution function,
except the definition of the inner product is modified.
The input-output relation of this function is as follows:
.. math::
y_{n, a, b} = \sum_{m} \sum_{i} \sum_{j} sign(w_{n, m, i, j}) x_{m, a + i, b + j}.
Therefore :math:`sign(w_i)` is either :math:`1` or :math:`-1` and the inner product
simplifies to addition.
This function should be used together with BatchNormalization.
References:
M. Courbariaux, Y. Bengio, and J.-P. David. "BinaryConnect:
Training Deep Neural Networks with binary weights during propagations."
Advances in Neural Information Processing Systems. 2015.
.. note::
1) if you would like to share weights between some layers, please
make sure to share the standard, floating value weights (`weight`)
and not the binarized weights (`binary_weight`)
2) The weights and the binary weights become synced only after :func:`~nnabla._variable.Variable.forward` is called,
and not after a call to :func:`~nnabla._variable.Variable.backward`.
To access the parameters of the network, remember to call :func:`~nnabla._variable.Variable.forward` once before doing so, otherwise the
float weights and the binary weights will not be in sync.
3) CPU and GPU implementations now use float value for `binary_weight`,
since this function is only for simulation purposes.
Args:
inp (~nnabla.Variable): N-D array.
outmaps (int): Number of convolution kernels (which is equal to the number of output channels). For example, to apply convolution on an input with 16 types of filters, specify 16.
kernel (:obj:`tuple` of :obj:`int`): Convolution kernel size. For example, to apply convolution on an image with a 3 (height) by 5 (width) two-dimensional kernel, specify (3,5).
pad (:obj:`tuple` of :obj:`int`): Padding sizes for dimensions.
stride (:obj:`tuple` of :obj:`int`): Stride sizes for dimensions.
dilation (:obj:`tuple` of :obj:`int`): Dilation sizes for dimensions.
group (int): Number of groups of channels. This makes connections across channels sparser by grouping connections along map direction.
w_init (~nnabla.initializer.BaseInitializer): Initializer for weight.
wb_init (~nnabla.initializer.BaseInitializer): Initializer for binary weight.
b_init (~nnabla.initializer.BaseInitializer): Initializer for bias.
base_axis (int): Dimensions up to `base_axis` are treated as the sample dimensions.
fix_parameters (bool): When set to `True`, the weights and biases will not be updated.
rng (numpy.random.RandomState): Random generator for Initializer.
with_bias (bool): Specify whether to include the bias term.
Returns:
:class:`~nnabla.Variable`
"""
if w_init is None:
w_init = UniformInitializer(
calc_uniform_lim_glorot(inp.shape[base_axis], outmaps, tuple(kernel)), rng=rng)
if wb_init is None:
wb_init = UniformInitializer(
calc_uniform_lim_glorot(inp.shape[base_axis], outmaps, tuple(kernel)), rng=rng)
if b_init is None:
b_init = ConstantInitializer()
w = get_parameter_or_create(
"W", (outmaps, inp.shape[base_axis]) + tuple(kernel),
w_init, not fix_parameters)
wb = get_parameter_or_create(
"Wb", (outmaps, inp.shape[base_axis]) + tuple(kernel),
w_init, not fix_parameters)
b = None
if with_bias:
b = get_parameter_or_create(
"b", (outmaps,), b_init, not fix_parameters)
return F.binary_connect_convolution(inp, w, wb, b, base_axis, pad, stride, dilation, group)
@parametric_function_api("bwn_conv")
def binary_weight_convolution(inp, outmaps, kernel,
pad=None, stride=None, dilation=None, group=1,
w_init=None, wb_init=None, b_init=None,
base_axis=1, fix_parameters=False, rng=None,
with_bias=True):
"""Binary Weight Convolution, multiplier-less inner-product with a scale factor.
Binary Weight Convolution is the convolution function, but the
inner product in this function is the following,
.. math::
y_{n, a, b} = \\frac{1}{\\|\\mathbf{w}_n\\|_{\\ell_1}} \sum_{m} \sum_{i} \sum_{j} sign(w_{n, m, i, j}) x_{m, a + i, b + j}.
Therefore :math:`sign(w_{n, m, i, j})` is either :math:`1` or :math:`-1` and the inner product
simplifies to addition followed by scaling factor :math:`\\alpha = \\frac{1}{\\|\\mathbf{w}_n\\|_{\\ell_1}}`.
The number of :math:`n` is the number of outmaps of the convolution
function.
References:
Rastegari, Mohammad, et al. "XNOR-Net: ImageNet Classification Using
Binary Convolutional Neural Networks." arXiv preprint
arXiv:1603.05279 (2016).
.. note::
1) if you would like to share weights between some layers, please
make sure to share the standard, floating value weights (`weight`)
and not the binarized weights (`binary_weight`)
2) The weights and the binary weights become synced only after :func:`~nnabla._variable.Variable.forward` is called,
and not after a call to :func:`~nnabla._variable.Variable.backward`.
To access the parameters of the network, remember to call :func:`~nnabla._variable.Variable.forward` once before doing so, otherwise the
float weights and the binary weights will not be in sync.
3) CPU and GPU implementations now use float value for `binary_weight`,
since this function is only for simulation purposes.
Args:
inp (~nnabla.Variable): N-D array.
outmaps (int): Number of convolution kernels (which is equal to the number of output channels). For example, to apply convolution on an input with 16 types of filters, specify 16.
kernel (:obj:`tuple` of :obj:`int`): Convolution kernel size. For example, to apply convolution on an image with a 3 (height) by 5 (width) two-dimensional kernel, specify (3,5).
pad (:obj:`tuple` of :obj:`int`): Padding sizes for dimensions.
stride (:obj:`tuple` of :obj:`int`): Stride sizes for dimensions.
dilation (:obj:`tuple` of :obj:`int`): Dilation sizes for dimensions.
group (int): Number of groups of channels. This makes connections across channels sparser by grouping connections along map direction.
w_init (~nnabla.initializer.BaseInitializer): Initializer for weight.
wb_init (~nnabla.initializer.BaseInitializer): Initializer for binary weight.
b_init (~nnabla.initializer.BaseInitializer): Initializer for bias.
base_axis (int): Dimensions up to `base_axis` are treated as the sample dimensions.
fix_parameters (bool): When set to `True`, the weights and biases will not be updated.
rng (numpy.random.RandomState): Random generator for Initializer.
with_bias (bool): Specify whether to include the bias term.
Returns:
:class:`~nnabla.Variable`
"""
if w_init is None:
w_init = UniformInitializer(
calc_uniform_lim_glorot(inp.shape[base_axis], outmaps, tuple(kernel)), rng=rng)
if wb_init is None:
wb_init = UniformInitializer(
calc_uniform_lim_glorot(inp.shape[base_axis], outmaps, tuple(kernel)), rng=rng)
if b_init is None:
b_init = ConstantInitializer()
w = get_parameter_or_create(
"W", (outmaps, inp.shape[base_axis]) + tuple(kernel),
w_init, not fix_parameters)
wb = get_parameter_or_create(
"Wb", (outmaps, inp.shape[base_axis]) + tuple(kernel),
w_init, not fix_parameters)
alpha = get_parameter_or_create(
"alpha", (outmaps, ), ConstantInitializer(0), False)
b = None
if with_bias:
b = get_parameter_or_create(
"b", (outmaps,), b_init, not fix_parameters)
return F.binary_weight_convolution(inp, w, wb, alpha, b, base_axis, pad, stride, dilation, group)
@parametric_function_api("deconv")
def deconvolution(inp, outmaps, kernel,
pad=None, stride=None, dilation=None, group=1,
w_init=None, b_init=None,
base_axis=1, fix_parameters=False, rng=None, with_bias=True):
"""
Deconvolution layer.
Args:
inp (~nnabla.Variable): N-D array.
outmaps (int): Number of deconvolution kernels (which is equal to the number of output channels). For example, to apply deconvolution on an input with 16 types of filters, specify 16.
kernel (:obj:`tuple` of :obj:`int`): Convolution kernel size. For example, to apply deconvolution on an image with a 3 (height) by 5 (width) two-dimensional kernel, specify (3,5).
pad (:obj:`tuple` of :obj:`int`): Padding sizes for dimensions.
stride (:obj:`tuple` of :obj:`int`): Stride sizes for dimensions.
dilation (:obj:`tuple` of :obj:`int`): Dilation sizes for dimensions.
group (int): Number of groups of channels. This makes connections across channels sparser by grouping connections along map direction.
w_init (~nnabla.initializer.BaseInitializer): Initializer for weight.
b_init (~nnabla.initializer.BaseInitializer): Initializer for bias.
base_axis (int): Dimensions up to `base_axis` are treated as the sample dimensions.
fix_parameters (bool): When set to `True`, the weights and biases will not be updated.
rng (numpy.random.RandomState): Random generator for Initializer.
with_bias (bool): Specify whether to include the bias term.
Returns:
:class:`~nnabla.Variable`: N-D array.
"""
if w_init is None:
w_init = UniformInitializer(
calc_uniform_lim_glorot(outmaps, inp.shape[base_axis], tuple(kernel)), rng=rng)
if with_bias and b_init is None:
b_init = ConstantInitializer()
w = get_parameter_or_create(
"W", (inp.shape[base_axis], outmaps / group) + tuple(kernel),
w_init, not fix_parameters)
b = None
if with_bias:
b = get_parameter_or_create(
"b", (outmaps,), b_init, not fix_parameters)
return F.deconvolution(inp, w, b, base_axis, pad, stride, dilation, group)
@parametric_function_api("bn")
def batch_normalization(inp, axes=[1], decay_rate=0.9, eps=1e-5,
batch_stat=True, output_stat=False):
"""
Batch normalization layer.
.. math::
\\begin{array}{lcl}
\\mu &=& \\frac{1}{M} \\sum x_i\\\\
\\sigma^2 &=& \\frac{1}{M} \\left(\\sum x_i - \\mu\\right)^2\\\\
\\hat{x}_i &=& \\frac{x_i - \\mu}{\\sqrt{\\sigma^2 + \\epsilon}} \\\\
y_i &=& \\hat{x}_i \\gamma + \\beta.
\\end{array}
where :math:`x_i, y_i` are the inputs.
In testing, the mean and variance computed by moving average calculated during training are used.
Args:
inp (~nnabla.Variable): N-D array of input.
axes (:obj:`tuple` of :obj:`int`): Axes mean and variance are taken.
decay_rate (float): Decay rate of running mean and variance.
eps (float): Tiny value to avoid zero division by std.
batch_stat (bool): Use mini-batch statistics rather than running ones.
output_stat (bool): Output batch mean and variance.
Returns:
:class:`~nnabla.Variable`: N-D array.
References:
- Ioffe and Szegedy, Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift. https://arxiv.org/abs/1502.03167
"""
assert len(axes) == 1
shape_stat = [1 for _ in inp.shape]
shape_stat[axes[0]] = inp.shape[axes[0]]
beta = get_parameter_or_create(
"beta", shape_stat, ConstantInitializer(0), True)
gamma = get_parameter_or_create(
"gamma", shape_stat, ConstantInitializer(1), True)
mean = get_parameter_or_create(
"mean", shape_stat, ConstantInitializer(0), False)
var = get_parameter_or_create(
"var", shape_stat, ConstantInitializer(0), False)
return F.batch_normalization(inp, beta, gamma, mean, var, axes,
decay_rate, eps, batch_stat, output_stat)
@parametric_function_api("embed")
def embed(inp, n_inputs, n_features):
""" Embed.
Embed slices a matrix/tensor with indexing array/tensor
Args:
x(~nnabla.Variable): [Integer] Indices with shape :math:`(I_0, ..., I_N)`
n_inputs : number of possible inputs, words or vocabraries
n_features : number of embedding features
Returns:
~nnabla.Variable: Output with shape :math:`(I_0, ..., I_N, W_1, ..., W_M)`
"""
w = get_parameter_or_create("W", [n_inputs, n_features],
UniformInitializer((-np.sqrt(3.), np.sqrt(3))), True)
return F.embed(inp, w)
@parametric_function_api("prelu")
def prelu(inp, base_axis=1, shared=True):
"""
Parametrized Rectified Linear Unit function defined as
.. math::
y_i = \max(0, x_i) + w_i \min(0, -x_i)
where nagative slope :math:`w` is learned and can vary accros channels (an
axis specified with base_axis).
Args:
x(~nnabla.Variable): N-D array as input
base_axis(int): Dimensions up to base_axis is treated as sample dimension.
shared(bool): Use shared weight value or not
Returns:
~nnabla.Variable: N-D array.
"""
shape = tuple() if shared else inp.shape[base_axis]
w = get_parameter_or_create("W", shape,
ConstantInitializer(-1), True)
return F.prelu(inp, w, base_axis)
| 45.313936
| 218
| 0.661913
| 4,069
| 29,590
| 4.667732
| 0.117474
| 0.024851
| 0.019902
| 0.028432
| 0.758227
| 0.741273
| 0.727005
| 0.715
| 0.704839
| 0.699574
| 0
| 0.007877
| 0.236296
| 29,590
| 652
| 219
| 45.383436
| 0.832596
| 0.020514
| 0
| 0.593626
| 0
| 0
| 0.068461
| 0.009122
| 0
| 0
| 0
| 0
| 0.003984
| 0
| null | null | 0.003984
| 0.023904
| null | null | 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
79a51ff2b9816a312884d34213d560a8719c266a
| 47
|
py
|
Python
|
connectors/python/pydob/__init__.py
|
pranavbaburaj/jodb
|
1242a6235fd3e976b70e8fa4da83bf1108baed42
|
[
"MIT"
] | 2
|
2021-03-29T18:30:48.000Z
|
2021-04-10T17:44:34.000Z
|
connectors/python/pydob/__init__.py
|
pranavbaburaj/json-based-database
|
1242a6235fd3e976b70e8fa4da83bf1108baed42
|
[
"MIT"
] | null | null | null |
connectors/python/pydob/__init__.py
|
pranavbaburaj/json-based-database
|
1242a6235fd3e976b70e8fa4da83bf1108baed42
|
[
"MIT"
] | null | null | null |
from .table import PyDOB
import webbrowser
| 11.75
| 25
| 0.765957
| 6
| 47
| 6
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.212766
| 47
| 3
| 26
| 15.666667
| 0.972973
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
79d11f4d2fccba42314dd205d832cdbf1854ad77
| 26
|
py
|
Python
|
valueguard/__init__.py
|
Valueguard-Index-Sweden/valueguard-python-client
|
88f2d486f0fce9bf6b3a35d0c2642640b3601432
|
[
"Unlicense"
] | 1
|
2020-10-01T08:27:01.000Z
|
2020-10-01T08:27:01.000Z
|
valueguard/__init__.py
|
Valueguard-Index-Sweden/valueguard-python-client
|
88f2d486f0fce9bf6b3a35d0c2642640b3601432
|
[
"Unlicense"
] | 1
|
2021-04-01T07:45:44.000Z
|
2021-04-01T07:48:53.000Z
|
valueguard/__init__.py
|
Valueguard-Index-Sweden/valueguard-python-client
|
88f2d486f0fce9bf6b3a35d0c2642640b3601432
|
[
"Unlicense"
] | 1
|
2020-06-11T14:15:26.000Z
|
2020-06-11T14:15:26.000Z
|
from .valueguard import *
| 13
| 25
| 0.769231
| 3
| 26
| 6.666667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.153846
| 26
| 1
| 26
| 26
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
8dc2f72747057674cded8e35f68d16c2b485e6d2
| 594
|
py
|
Python
|
tests/core/tests/__init__.py
|
speedplane/django-haystack
|
4ace30aea6aa1b1708f79a5a9df20a00fa0b4d96
|
[
"BSD-3-Clause"
] | 1
|
2017-10-12T14:25:06.000Z
|
2017-10-12T14:25:06.000Z
|
tests/core/tests/__init__.py
|
speedplane/django-haystack
|
4ace30aea6aa1b1708f79a5a9df20a00fa0b4d96
|
[
"BSD-3-Clause"
] | 1
|
2016-08-03T18:01:43.000Z
|
2016-08-03T18:03:00.000Z
|
tests/core/tests/__init__.py
|
speedplane/django-haystack
|
4ace30aea6aa1b1708f79a5a9df20a00fa0b4d96
|
[
"BSD-3-Clause"
] | null | null | null |
import warnings
warnings.simplefilter('ignore', Warning)
from django.conf import settings
from core.tests.test_backends import *
from core.tests.test_fields import *
from core.tests.test_forms import *
from core.tests.test_indexes import *
from core.tests.test_inputs import *
from core.tests.test_loading import *
from core.tests.test_models import *
from core.tests.test_query import *
from core.tests.test_templatetags import *
from core.tests.test_views import *
from core.tests.test_utils import *
from core.tests.test_management_commands import *
from core.tests.test_managers import *
| 31.263158
| 49
| 0.818182
| 90
| 594
| 5.244444
| 0.288889
| 0.220339
| 0.358051
| 0.46822
| 0.584746
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.104377
| 594
| 18
| 50
| 33
| 0.887218
| 0
| 0
| 0
| 0
| 0
| 0.010101
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.9375
| 0
| 0.9375
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
8ddbfe1c9df7b2faebb04d5ddec07fdbdb364168
| 162
|
py
|
Python
|
rfhub/blueprints/__init__.py
|
datakurre/robotframework-hub
|
f3dc7562fe6218a7b8d7aac7b9ef234e1a573f7c
|
[
"Apache-2.0"
] | 156
|
2015-01-08T07:58:12.000Z
|
2021-11-09T23:52:38.000Z
|
rfhub/blueprints/__init__.py
|
qause/robotframework-hub
|
ce9e6410c12e373cc3d62ba099ae112e613d0079
|
[
"Apache-2.0"
] | 90
|
2019-09-04T17:52:10.000Z
|
2021-07-01T14:01:08.000Z
|
rfhub/blueprints/__init__.py
|
fhumayun/robotframework-hub
|
f3dc7562fe6218a7b8d7aac7b9ef234e1a573f7c
|
[
"Apache-2.0"
] | 75
|
2015-01-09T01:06:28.000Z
|
2022-03-16T13:49:04.000Z
|
from rfhub.blueprints.api import blueprint as api
from rfhub.blueprints.dashboard import blueprint as dashboard
from rfhub.blueprints.doc import blueprint as doc
| 40.5
| 61
| 0.851852
| 24
| 162
| 5.75
| 0.375
| 0.195652
| 0.413043
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.111111
| 162
| 3
| 62
| 54
| 0.958333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 1
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
|
0
| 6
|
5c0ba973872dc2aa93b01e04652897f4aa80d3d4
| 33
|
py
|
Python
|
tests/unit/io/custom_code.py
|
halotudio/openPNM-copy2
|
d400ec65e9421256a531f6d22a38255b002d5dcb
|
[
"MIT"
] | 2
|
2019-08-24T09:17:40.000Z
|
2020-07-05T07:21:21.000Z
|
tests/unit/io/custom_code.py
|
halotudio/openPNM-copy2
|
d400ec65e9421256a531f6d22a38255b002d5dcb
|
[
"MIT"
] | 2
|
2020-06-26T19:58:23.000Z
|
2021-12-14T07:16:41.000Z
|
tests/unit/io/custom_code.py
|
halotudio/openPNM-copy2
|
d400ec65e9421256a531f6d22a38255b002d5dcb
|
[
"MIT"
] | null | null | null |
def test(target):
return 1.0
| 11
| 17
| 0.636364
| 6
| 33
| 3.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.08
| 0.242424
| 33
| 2
| 18
| 16.5
| 0.76
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0
| 0
| 0.5
| 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
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 6
|
5c424f35b9b2b5f391c25d8f82079ce5f704c5e4
| 137
|
py
|
Python
|
set1/challenge1_convert_hex_to_base64/s1c1.py
|
douglasnaphas/cryptopals-python
|
a81d390a213691864301985bc777e283c273301d
|
[
"Apache-2.0"
] | null | null | null |
set1/challenge1_convert_hex_to_base64/s1c1.py
|
douglasnaphas/cryptopals-python
|
a81d390a213691864301985bc777e283c273301d
|
[
"Apache-2.0"
] | null | null | null |
set1/challenge1_convert_hex_to_base64/s1c1.py
|
douglasnaphas/cryptopals-python
|
a81d390a213691864301985bc777e283c273301d
|
[
"Apache-2.0"
] | null | null | null |
class S1C1():
@staticmethod
def ret_true():
return True
@staticmethod
def hex_to_base64(hx):
return "x"
| 15.222222
| 26
| 0.576642
| 16
| 137
| 4.75
| 0.75
| 0.394737
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.043478
| 0.328467
| 137
| 8
| 27
| 17.125
| 0.782609
| 0
| 0
| 0.285714
| 0
| 0
| 0.007299
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.285714
| false
| 0
| 0
| 0.285714
| 0.714286
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 6
|
30e474eb07fea9e564f0278e2c569c6f57c1d711
| 143
|
py
|
Python
|
peeringdb_server/client_adaptor/setup.py
|
CyberFlameGO/peeringdb
|
83461deb58805fe1d83c5ff4276fa3bcb59a7323
|
[
"BSD-2-Clause"
] | 224
|
2016-10-13T10:32:33.000Z
|
2022-03-23T13:08:48.000Z
|
peeringdb_server/client_adaptor/setup.py
|
CyberFlameGO/peeringdb
|
83461deb58805fe1d83c5ff4276fa3bcb59a7323
|
[
"BSD-2-Clause"
] | 1,063
|
2016-06-07T02:57:11.000Z
|
2022-03-31T00:08:07.000Z
|
peeringdb_server/client_adaptor/setup.py
|
CyberFlameGO/peeringdb
|
83461deb58805fe1d83c5ff4276fa3bcb59a7323
|
[
"BSD-2-Clause"
] | 92
|
2016-10-22T14:59:40.000Z
|
2022-03-26T11:30:12.000Z
|
"""
django-peeringdb backend setup (needed for pdb_load_data command)
"""
from django_peeringdb.client_adaptor.setup import configure # noqa
| 23.833333
| 67
| 0.797203
| 19
| 143
| 5.789474
| 0.842105
| 0.272727
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.118881
| 143
| 5
| 68
| 28.6
| 0.873016
| 0.496504
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
eb5e516f306865c17f90021e75f1b633ba2b60f2
| 74
|
py
|
Python
|
pure_sklearn/ensemble/tests/test_import.py
|
ashetty1-m/pure-predict
|
05a0f105fb43532af1a0713dc34b26574d51b563
|
[
"Apache-2.0"
] | 62
|
2020-02-14T15:54:12.000Z
|
2021-11-23T14:12:32.000Z
|
pure_sklearn/ensemble/tests/test_import.py
|
ashetty1-m/pure-predict
|
05a0f105fb43532af1a0713dc34b26574d51b563
|
[
"Apache-2.0"
] | 9
|
2020-04-05T16:19:33.000Z
|
2022-02-08T14:54:56.000Z
|
pure_sklearn/ensemble/tests/test_import.py
|
ashetty1-m/pure-predict
|
05a0f105fb43532af1a0713dc34b26574d51b563
|
[
"Apache-2.0"
] | 5
|
2021-02-26T14:04:17.000Z
|
2022-02-10T23:06:16.000Z
|
def test_import():
from pure_sklearn import ensemble
assert True
| 14.8
| 37
| 0.72973
| 10
| 74
| 5.2
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.22973
| 74
| 4
| 38
| 18.5
| 0.912281
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.333333
| 1
| 0.333333
| true
| 0
| 0.666667
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
eb77dd3363c2cb7ef642a98b6e429ece00ac81e7
| 211
|
py
|
Python
|
python/hard_python/robot/539/ex.py
|
ii6uu99/ipynb
|
d924a6926838ca5e563620cd324368a07d2c2521
|
[
"MIT"
] | 1
|
2021-01-27T09:01:33.000Z
|
2021-01-27T09:01:33.000Z
|
python/hard_python/robot/539/ex.py
|
ii6uu99/ipynb
|
d924a6926838ca5e563620cd324368a07d2c2521
|
[
"MIT"
] | null | null | null |
python/hard_python/robot/539/ex.py
|
ii6uu99/ipynb
|
d924a6926838ca5e563620cd324368a07d2c2521
|
[
"MIT"
] | 1
|
2021-01-26T13:22:21.000Z
|
2021-01-26T13:22:21.000Z
|
#作业：实现一个闰年的函数
def run_nian(year):
return (year%4==0 and year%100!=0) or year%400==0
#断言: 4个测试用例
assert run_nian(2004)==True
assert run_nian(2005)==False
assert run_nian(2000)==True
assert run_nian(2100)==False
| 23.444444
| 50
| 0.744076
| 40
| 211
| 3.8
| 0.55
| 0.230263
| 0.342105
| 0.223684
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.141361
| 0.094787
| 211
| 9
| 51
| 23.444444
| 0.65445
| 0.104265
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.666667
| 1
| 0.166667
| false
| 0
| 0
| 0.166667
| 0.333333
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 6
|
eb8a93a1c4bbd8b679284037893fbfb3f704974a
| 76
|
py
|
Python
|
sample-apps/oauth-app/src/routes/__init__.py
|
fakepop/hubspot-api-python
|
f04103a09f93f5c26c99991b25fa76801074f3d3
|
[
"Apache-2.0"
] | 1
|
2020-11-12T08:46:32.000Z
|
2020-11-12T08:46:32.000Z
|
sample-apps/oauth-app/src/routes/__init__.py
|
fakepop/hubspot-api-python
|
f04103a09f93f5c26c99991b25fa76801074f3d3
|
[
"Apache-2.0"
] | null | null | null |
sample-apps/oauth-app/src/routes/__init__.py
|
fakepop/hubspot-api-python
|
f04103a09f93f5c26c99991b25fa76801074f3d3
|
[
"Apache-2.0"
] | null | null | null |
from .oauth import module as oauth
from .contacts import module as contacts
| 25.333333
| 40
| 0.815789
| 12
| 76
| 5.166667
| 0.5
| 0.387097
| 0.451613
| 0
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| 0
| 0
| 0
| 0
| 0
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| 0
| 0.157895
| 76
| 2
| 41
| 38
| 0.96875
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| true
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| 0
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 6
|
693c1266a8be51ade67ce4e55adb1880359dbe77
| 2,512
|
py
|
Python
|
dlcli/api/agents.py
|
outlyerapp/dlcli
|
57458b7346a9b9c92cf99628f6c051589a9edb27
|
[
"Apache-2.0"
] | 1
|
2017-12-06T11:07:48.000Z
|
2017-12-06T11:07:48.000Z
|
dlcli/api/agents.py
|
outlyerapp/dlcli
|
57458b7346a9b9c92cf99628f6c051589a9edb27
|
[
"Apache-2.0"
] | 1
|
2020-02-22T20:29:15.000Z
|
2020-02-22T20:29:15.000Z
|
dlcli/api/agents.py
|
outlyerapp/dlcli
|
57458b7346a9b9c92cf99628f6c051589a9edb27
|
[
"Apache-2.0"
] | null | null | null |
import logging
import utils
from wrapper import *
logger = logging.getLogger(__name__)
# noinspection PyUnusedLocal
def get_agents(url='', org='', account='', key='', timeout=60, **kwargs):
return get(utils.build_api_url(url, org, account,
endpoint='agents'),
headers={'Authorization': "Bearer " + key}, timeout=timeout).json()
# noinspection PyUnusedLocal
def get_agent(url='', org='', account='', key='', agent_name='', timeout=60, **kwargs):
agent_map = get_agents(url=url, org=org, account=account, key=key)
for agent in agent_map:
if agent['name'] == agent_name:
return get(utils.build_api_url(url, org, account,
endpoint='agents/%s' % agent['id']),
headers={'Authorization': "Bearer " + key}, timeout=timeout)
# noinspection PyUnusedLocal
def register_agent(url='', org='', account='', key='', payload='', finger='', timeout=60, **kwargs):
return post(utils.build_api_url(url, org, account,
endpoint='agents/%s/ping' % finger),
headers={'Authorization': "Bearer " + key},
data=payload, timeout=timeout)
# noinspection PyUnusedLocal
def ping_agent(url='', org='', account='', key='', payload='', finger='', timeout=60, **kwargs):
return post(utils.build_api_url(url, org, account,
endpoint='agents/%s/ping' % finger),
headers={'Authorization': "Bearer " + key},
data=payload, timeout=timeout)
# noinspection PyUnusedLocal
def delete_agent(url='', org='', account='', key='', agent_name='', timeout=60, **kwargs):
agent_map = get_agents(url, org, account, key)
for agent in agent_map:
if agent['name'] == agent_name:
return requests.delete(utils.build_api_url(url, org, account,
endpoint='agents/%s' % agent['id']),
headers={'Authorization': "Bearer " + key}, timeout=timeout)
# noinspection PyUnusedLocal
def get_agent_name_from_id(url='', org='', account='', key='', agent_id='', timeout=60, **kwargs):
agents = get(utils.build_api_url(url, org, account,
endpoint='agents'),
headers={'Authorization': "Bearer " + key}, timeout=timeout).json()
for a in agents:
if a['id'] == agent_id:
return a['name']
| 42.576271
| 100
| 0.565685
| 269
| 2,512
| 5.144981
| 0.163569
| 0.060694
| 0.12211
| 0.080925
| 0.82948
| 0.786127
| 0.760838
| 0.760838
| 0.760838
| 0.760838
| 0
| 0.006615
| 0.277866
| 2,512
| 58
| 101
| 43.310345
| 0.75634
| 0.064092
| 0
| 0.564103
| 0
| 0
| 0.083618
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.153846
| false
| 0
| 0.076923
| 0.076923
| 0.384615
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
d69d3190dab354143415f4296f95c747b1ef7727
| 4,976
|
py
|
Python
|
client/src/dolbyio_rest_apis/communications/remix.py
|
dolbyio-samples/dolbyio-rest-apis-client-python
|
37354dc10f967c4656776f9e2651a2284a11f530
|
[
"MIT"
] | 1
|
2021-12-23T17:55:06.000Z
|
2021-12-23T17:55:06.000Z
|
client/src/dolbyio_rest_apis/communications/remix.py
|
dolbyio-samples/dolbyio-rest-apis-client-python
|
37354dc10f967c4656776f9e2651a2284a11f530
|
[
"MIT"
] | null | null | null |
client/src/dolbyio_rest_apis/communications/remix.py
|
dolbyio-samples/dolbyio-rest-apis-client-python
|
37354dc10f967c4656776f9e2651a2284a11f530
|
[
"MIT"
] | null | null | null |
"""
dolbyio_rest_apis.communications.remix
~~~~~~~~~~~~~~~
This module contains the functions to work with the remix API.
"""
from deprecated import deprecated
from dolbyio_rest_apis.communications.internal.http_context import CommunicationsHttpContext
from dolbyio_rest_apis.communications.internal.urls import get_api_v2_url, get_session_url
from .models import RemixStatus
async def start(
access_token: str,
conference_id: str,
) -> RemixStatus:
r"""
Remix a conference.
Use this API to trigger a remix and regenerate a recording of a previously recorded conference using
the current mixer layout. The `Recording.MP4.Available` event is sent if the customer has configured
the webhook in the developer portal.
See: https://docs.dolby.io/communications-apis/reference/start-conference-remix
Args:
access_token: Access token to use for authentication.
conference_id: Identifier of the conference.
Returns:
A :class:`RemixStatus` object that represents the status of the remix.
Raises:
HttpRequestError: If a client error one occurred.
HTTPError: If one occurred.
"""
url = f'{get_api_v2_url()}/conferences/mix/{conference_id}/remix/start'
async with CommunicationsHttpContext() as http_context:
json_response = await http_context.requests_post(
access_token=access_token,
url=url,
)
return RemixStatus(json_response)
async def get_status(
access_token: str,
conference_id: str,
) -> RemixStatus:
r"""
Get the status of a current mixing job. You must use this API if the conference is protected
using enhanced conference access control.
See: https://docs.dolby.io/communications-apis/reference/get-conference-remix-status
Args:
access_token: Access token to use for authentication.
conference_id: Identifier of the conference.
Returns:
A :class:`RemixStatus` object that represents the status of the remix.
Raises:
HttpRequestError: If a client error one occurred.
HTTPError: If one occurred.
"""
url = f'{get_api_v2_url()}/conferences/mix/{conference_id}/remix/status'
async with CommunicationsHttpContext() as http_context:
json_response = await http_context.requests_get(
access_token=access_token,
url=url,
)
return RemixStatus(json_response)
@deprecated(reason='This API is no longer applicable for applications on the new Dolby.io Communications APIs platform.')
async def start_basic_auth(
consumer_key: str,
consumer_secret: str,
conference_id: str,
) -> RemixStatus:
r"""
Remix a conference.
Use this API to trigger a remix and regenerate a recording of a previously recorded conference using
the current mixer layout. The `Recording.MP4.Available` event is sent if the customer has configured
the webhook in the developer portal.
See: https://docs.dolby.io/communications-apis/reference/start-conference-remix-v1
Args:
consumer_key: Your Dolby.io Consumer Key.
consumer_secret: Your Dolby.io Consumer Secret.
conference_id: Identifier of the conference.
Returns:
A :class:`RemixStatus` object that represents the status of the remix.
Raises:
HttpRequestError: If a client error one occurred.
HTTPError: If one occurred.
"""
url = f'{get_session_url()}/api/conferences/mix/{conference_id}/record'
async with CommunicationsHttpContext() as http_context:
json_response = await http_context.requests_post_basic_auth(
consumer_key=consumer_key,
consumer_secret=consumer_secret,
url=url,
)
return RemixStatus(json_response)
@deprecated(reason='This API is no longer applicable for applications on the new Dolby.io Communications APIs platform.')
async def get_status_basic_auth(
consumer_key: str,
consumer_secret: str,
conference_id: str,
) -> RemixStatus:
r"""
Get the status of a current mixing job.
See: https://docs.dolby.io/communications-apis/reference/get-conference-remix-status-v1
Args:
consumer_key: Your Dolby.io Consumer Key.
consumer_secret: Your Dolby.io Consumer Secret.
conference_id: Identifier of the conference.
Returns:
A :class:`RemixStatus` object that represents the status of the remix.
Raises:
HttpRequestError: If a client error one occurred.
HTTPError: If one occurred.
"""
url = f'{get_session_url()}/api/conferences/mix/{conference_id}/status'
async with CommunicationsHttpContext() as http_context:
json_response = await http_context.requests_get_basic_auth(
consumer_key=consumer_key,
consumer_secret=consumer_secret,
url=url,
)
return RemixStatus(json_response)
| 33.395973
| 121
| 0.699759
| 622
| 4,976
| 5.456592
| 0.191318
| 0.042428
| 0.037124
| 0.044196
| 0.896288
| 0.896288
| 0.872127
| 0.872127
| 0.865645
| 0.865645
| 0
| 0.00182
| 0.226889
| 4,976
| 148
| 122
| 33.621622
| 0.880426
| 0.023714
| 0
| 0.586207
| 0
| 0
| 0.192756
| 0.107374
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.068966
| 0
| 0.137931
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
d6cd17f22e11ae389209ac7b552f16a52e356efa
| 4,178
|
py
|
Python
|
extensions/.stubs/clrclasses/System/Threading/__init__.py
|
vicwjb/Pycad
|
7391cd694b7a91ad9f9964ec95833c1081bc1f84
|
[
"MIT"
] | 1
|
2020-03-25T03:27:24.000Z
|
2020-03-25T03:27:24.000Z
|
extensions/.stubs/clrclasses/System/Threading/__init__.py
|
vicwjb/Pycad
|
7391cd694b7a91ad9f9964ec95833c1081bc1f84
|
[
"MIT"
] | null | null | null |
extensions/.stubs/clrclasses/System/Threading/__init__.py
|
vicwjb/Pycad
|
7391cd694b7a91ad9f9964ec95833c1081bc1f84
|
[
"MIT"
] | null | null | null |
import __clrclasses__.System.Threading.Tasks as Tasks
from __clrclasses__.System.Threading import AbandonedMutexException
from __clrclasses__.System.Threading import ApartmentState
from __clrclasses__.System.Threading import AsyncFlowControl
from __clrclasses__.System.Threading import AsyncLocal
from __clrclasses__.System.Threading import AsyncLocalValueChangedArgs
from __clrclasses__.System.Threading import AutoResetEvent
from __clrclasses__.System.Threading import Barrier
from __clrclasses__.System.Threading import BarrierPostPhaseException
from __clrclasses__.System.Threading import CancellationToken
from __clrclasses__.System.Threading import CancellationTokenRegistration
from __clrclasses__.System.Threading import CancellationTokenSource
from __clrclasses__.System.Threading import CompressedStack
from __clrclasses__.System.Threading import ContextCallback
from __clrclasses__.System.Threading import CountdownEvent
from __clrclasses__.System.Threading import EventResetMode
from __clrclasses__.System.Threading import EventWaitHandle
from __clrclasses__.System.Threading import ExecutionContext
from __clrclasses__.System.Threading import HostExecutionContext
from __clrclasses__.System.Threading import HostExecutionContextManager
from __clrclasses__.System.Threading import Interlocked
from __clrclasses__.System.Threading import IOCompletionCallback
from __clrclasses__.System.Threading import LazyInitializer
from __clrclasses__.System.Threading import LazyThreadSafetyMode
from __clrclasses__.System.Threading import LockCookie
from __clrclasses__.System.Threading import LockRecursionException
from __clrclasses__.System.Threading import LockRecursionPolicy
from __clrclasses__.System.Threading import ManualResetEvent
from __clrclasses__.System.Threading import ManualResetEventSlim
from __clrclasses__.System.Threading import Monitor
from __clrclasses__.System.Threading import Mutex
from __clrclasses__.System.Threading import NativeOverlapped
from __clrclasses__.System.Threading import Overlapped
from __clrclasses__.System.Threading import ParameterizedThreadStart
from __clrclasses__.System.Threading import PreAllocatedOverlapped
from __clrclasses__.System.Threading import ReaderWriterLock
from __clrclasses__.System.Threading import ReaderWriterLockSlim
from __clrclasses__.System.Threading import RegisteredWaitHandle
from __clrclasses__.System.Threading import Semaphore
from __clrclasses__.System.Threading import SemaphoreFullException
from __clrclasses__.System.Threading import SemaphoreSlim
from __clrclasses__.System.Threading import SendOrPostCallback
from __clrclasses__.System.Threading import SpinLock
from __clrclasses__.System.Threading import SpinWait
from __clrclasses__.System.Threading import SynchronizationContext
from __clrclasses__.System.Threading import SynchronizationLockException
from __clrclasses__.System.Threading import Thread
from __clrclasses__.System.Threading import ThreadAbortException
from __clrclasses__.System.Threading import ThreadExceptionEventArgs
from __clrclasses__.System.Threading import ThreadExceptionEventHandler
from __clrclasses__.System.Threading import ThreadInterruptedException
from __clrclasses__.System.Threading import ThreadLocal
from __clrclasses__.System.Threading import ThreadPool
from __clrclasses__.System.Threading import ThreadPoolBoundHandle
from __clrclasses__.System.Threading import ThreadPriority
from __clrclasses__.System.Threading import ThreadStart
from __clrclasses__.System.Threading import ThreadStartException
from __clrclasses__.System.Threading import ThreadState
from __clrclasses__.System.Threading import ThreadStateException
from __clrclasses__.System.Threading import Timeout
from __clrclasses__.System.Threading import Timer
from __clrclasses__.System.Threading import TimerCallback
from __clrclasses__.System.Threading import Volatile
from __clrclasses__.System.Threading import WaitCallback
from __clrclasses__.System.Threading import WaitHandle
from __clrclasses__.System.Threading import WaitHandleCannotBeOpenedException
from __clrclasses__.System.Threading import WaitHandleExtensions
from __clrclasses__.System.Threading import WaitOrTimerCallback
| 60.550725
| 77
| 0.902106
| 409
| 4,178
| 8.550122
| 0.180929
| 0.311124
| 0.486131
| 0.555619
| 0.670575
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.065103
| 4,178
| 68
| 78
| 61.441176
| 0.895289
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
ba7060078f8915ec135ac2a924b535a8630ed5a8
| 257,317
|
py
|
Python
|
instances/passenger_demand/pas-20210422-1717-int8e-1/90.py
|
LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure
|
bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11
|
[
"BSD-3-Clause"
] | null | null | null |
instances/passenger_demand/pas-20210422-1717-int8e-1/90.py
|
LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure
|
bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11
|
[
"BSD-3-Clause"
] | null | null | null |
instances/passenger_demand/pas-20210422-1717-int8e-1/90.py
|
LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure
|
bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11
|
[
"BSD-3-Clause"
] | null | null | null |
"""
PASSENGERS
"""
numPassengers = 15271
passenger_arriving = (
(2, 7, 3, 3, 0, 1, 1, 1, 0, 0, 1, 1, 0, 9, 0, 3, 2, 3, 1, 2, 1, 1, 2, 0, 0, 0), # 0
(6, 4, 3, 2, 1, 2, 2, 2, 0, 0, 1, 0, 0, 7, 5, 3, 1, 2, 3, 1, 2, 1, 2, 0, 1, 0), # 1
(1, 4, 2, 4, 5, 3, 1, 1, 0, 1, 0, 0, 0, 9, 3, 2, 3, 3, 0, 1, 1, 0, 3, 0, 0, 0), # 2
(2, 4, 2, 3, 4, 0, 2, 1, 0, 2, 1, 3, 0, 3, 5, 2, 4, 6, 2, 4, 1, 0, 1, 0, 0, 0), # 3
(10, 3, 2, 8, 6, 1, 2, 1, 4, 0, 0, 1, 0, 4, 6, 5, 6, 7, 1, 2, 2, 2, 4, 1, 1, 0), # 4
(6, 9, 3, 4, 4, 0, 2, 4, 0, 3, 1, 0, 0, 10, 4, 2, 2, 4, 3, 0, 1, 2, 2, 1, 1, 0), # 5
(4, 4, 6, 9, 6, 0, 3, 2, 2, 3, 0, 0, 0, 3, 3, 6, 5, 2, 2, 3, 2, 3, 0, 2, 0, 0), # 6
(5, 5, 4, 6, 8, 1, 4, 1, 1, 2, 2, 1, 0, 7, 2, 4, 3, 4, 4, 1, 2, 2, 0, 1, 0, 0), # 7
(6, 6, 6, 8, 6, 1, 1, 4, 1, 1, 1, 0, 0, 8, 9, 4, 2, 6, 2, 1, 2, 1, 5, 0, 0, 0), # 8
(8, 7, 3, 5, 8, 3, 0, 0, 1, 0, 1, 1, 0, 8, 7, 6, 4, 4, 1, 1, 0, 3, 3, 1, 1, 0), # 9
(10, 5, 6, 7, 4, 2, 6, 5, 2, 1, 0, 0, 0, 8, 4, 9, 7, 4, 2, 2, 1, 0, 2, 3, 0, 0), # 10
(3, 7, 6, 7, 7, 3, 1, 4, 4, 2, 2, 0, 0, 4, 8, 5, 4, 5, 1, 0, 1, 1, 0, 1, 0, 0), # 11
(10, 8, 5, 4, 6, 0, 1, 7, 1, 6, 1, 0, 0, 7, 2, 5, 8, 8, 0, 0, 2, 3, 4, 2, 0, 0), # 12
(12, 9, 7, 5, 6, 3, 4, 4, 6, 2, 2, 1, 0, 7, 3, 3, 5, 5, 3, 3, 4, 1, 3, 0, 0, 0), # 13
(8, 6, 4, 3, 9, 5, 4, 0, 2, 1, 1, 1, 0, 6, 8, 2, 5, 3, 4, 3, 2, 6, 1, 0, 1, 0), # 14
(11, 7, 8, 5, 6, 2, 1, 6, 1, 1, 1, 2, 0, 6, 5, 5, 3, 5, 3, 4, 3, 4, 2, 0, 1, 0), # 15
(8, 10, 14, 5, 7, 4, 3, 3, 3, 0, 0, 0, 0, 10, 5, 11, 8, 5, 5, 3, 4, 1, 2, 1, 0, 0), # 16
(12, 5, 4, 9, 10, 1, 4, 1, 4, 0, 3, 1, 0, 12, 6, 6, 7, 1, 5, 4, 1, 2, 1, 3, 0, 0), # 17
(3, 7, 8, 3, 8, 6, 5, 3, 2, 0, 2, 1, 0, 3, 3, 5, 4, 9, 3, 1, 3, 2, 3, 0, 0, 0), # 18
(7, 10, 5, 8, 7, 3, 2, 6, 6, 0, 2, 0, 0, 8, 7, 5, 5, 9, 2, 3, 2, 1, 4, 2, 2, 0), # 19
(5, 5, 6, 4, 3, 1, 2, 3, 2, 1, 1, 1, 0, 11, 5, 3, 7, 6, 6, 3, 3, 3, 2, 0, 0, 0), # 20
(3, 12, 2, 5, 5, 3, 6, 0, 6, 0, 1, 0, 0, 6, 5, 6, 1, 5, 4, 2, 1, 1, 2, 0, 1, 0), # 21
(4, 5, 9, 2, 3, 3, 1, 2, 4, 2, 1, 2, 0, 14, 7, 6, 7, 10, 8, 2, 2, 4, 2, 1, 0, 0), # 22
(4, 10, 8, 14, 11, 2, 1, 2, 2, 2, 2, 1, 0, 8, 8, 12, 5, 5, 6, 2, 4, 3, 4, 2, 0, 0), # 23
(13, 8, 8, 9, 6, 1, 3, 3, 2, 2, 1, 2, 0, 7, 5, 5, 5, 9, 3, 5, 2, 4, 0, 1, 2, 0), # 24
(6, 8, 5, 6, 5, 2, 1, 1, 4, 1, 3, 0, 0, 5, 7, 3, 10, 7, 5, 5, 1, 4, 1, 2, 0, 0), # 25
(9, 6, 3, 9, 7, 2, 2, 4, 5, 5, 0, 2, 0, 8, 12, 6, 10, 2, 4, 2, 5, 0, 1, 0, 1, 0), # 26
(8, 4, 15, 6, 4, 5, 0, 0, 2, 3, 2, 0, 0, 8, 7, 5, 5, 1, 2, 5, 1, 2, 2, 3, 0, 0), # 27
(7, 13, 6, 7, 2, 3, 4, 4, 2, 0, 2, 0, 0, 9, 10, 3, 4, 5, 6, 2, 2, 1, 2, 3, 1, 0), # 28
(4, 8, 9, 7, 4, 1, 6, 2, 5, 2, 0, 3, 0, 4, 6, 7, 5, 8, 6, 4, 3, 6, 3, 0, 1, 0), # 29
(6, 5, 5, 6, 2, 5, 3, 3, 3, 1, 0, 0, 0, 12, 4, 2, 5, 9, 1, 3, 3, 5, 4, 2, 0, 0), # 30
(9, 7, 8, 7, 8, 1, 6, 9, 4, 1, 0, 0, 0, 7, 7, 7, 3, 7, 5, 3, 0, 3, 4, 2, 2, 0), # 31
(8, 11, 10, 8, 6, 6, 3, 3, 4, 2, 3, 0, 0, 12, 2, 7, 6, 11, 2, 3, 0, 2, 7, 0, 1, 0), # 32
(10, 10, 9, 4, 5, 3, 4, 1, 3, 2, 1, 1, 0, 11, 6, 8, 5, 5, 4, 4, 2, 1, 3, 0, 1, 0), # 33
(8, 8, 11, 5, 6, 6, 5, 1, 5, 3, 2, 1, 0, 8, 5, 6, 8, 7, 6, 5, 2, 7, 2, 0, 1, 0), # 34
(6, 4, 8, 7, 6, 1, 4, 4, 4, 3, 1, 1, 0, 8, 8, 5, 6, 7, 2, 3, 4, 4, 2, 0, 1, 0), # 35
(9, 13, 13, 4, 5, 3, 5, 2, 2, 0, 3, 1, 0, 12, 11, 3, 2, 1, 2, 8, 0, 0, 2, 3, 2, 0), # 36
(18, 18, 6, 6, 5, 2, 4, 2, 4, 2, 1, 1, 0, 9, 5, 4, 2, 10, 5, 0, 4, 1, 2, 2, 2, 0), # 37
(11, 12, 4, 7, 7, 3, 2, 1, 4, 1, 0, 1, 0, 7, 6, 6, 2, 5, 7, 3, 4, 5, 3, 0, 1, 0), # 38
(3, 3, 7, 5, 2, 3, 3, 5, 2, 3, 0, 2, 0, 7, 5, 4, 2, 12, 1, 3, 1, 4, 1, 0, 1, 0), # 39
(10, 7, 4, 7, 10, 4, 0, 4, 5, 2, 1, 1, 0, 3, 12, 6, 3, 6, 4, 3, 3, 5, 1, 1, 1, 0), # 40
(9, 4, 7, 7, 5, 5, 4, 0, 4, 1, 0, 1, 0, 7, 9, 6, 6, 13, 6, 3, 1, 4, 1, 2, 0, 0), # 41
(12, 8, 6, 5, 3, 3, 1, 3, 4, 5, 1, 0, 0, 5, 5, 3, 3, 8, 5, 5, 0, 2, 2, 2, 0, 0), # 42
(5, 7, 13, 9, 6, 1, 3, 4, 4, 1, 0, 1, 0, 9, 9, 5, 6, 8, 4, 1, 1, 4, 2, 1, 1, 0), # 43
(14, 6, 11, 10, 5, 3, 0, 1, 5, 1, 1, 0, 0, 9, 7, 2, 6, 5, 7, 1, 4, 6, 1, 0, 0, 0), # 44
(8, 10, 8, 12, 7, 3, 1, 2, 2, 3, 2, 0, 0, 11, 10, 7, 3, 9, 6, 2, 2, 1, 2, 0, 0, 0), # 45
(8, 5, 11, 6, 2, 3, 0, 3, 5, 1, 0, 0, 0, 12, 8, 5, 4, 11, 1, 1, 1, 2, 2, 1, 3, 0), # 46
(10, 12, 6, 7, 5, 3, 4, 3, 4, 2, 0, 0, 0, 6, 9, 4, 8, 7, 1, 3, 1, 5, 1, 1, 0, 0), # 47
(11, 5, 12, 8, 5, 4, 5, 1, 1, 0, 0, 2, 0, 11, 5, 7, 1, 9, 3, 5, 2, 6, 6, 2, 0, 0), # 48
(8, 12, 9, 7, 8, 4, 0, 4, 3, 2, 3, 4, 0, 12, 6, 4, 7, 1, 6, 4, 3, 8, 2, 2, 1, 0), # 49
(10, 5, 4, 5, 5, 3, 5, 1, 5, 0, 3, 2, 0, 2, 6, 8, 4, 10, 2, 3, 5, 3, 5, 1, 1, 0), # 50
(13, 11, 7, 4, 5, 0, 5, 4, 5, 1, 1, 0, 0, 5, 6, 5, 2, 5, 3, 6, 2, 2, 2, 1, 3, 0), # 51
(9, 6, 2, 10, 0, 2, 3, 0, 5, 1, 2, 1, 0, 6, 5, 5, 4, 13, 3, 5, 2, 2, 3, 2, 1, 0), # 52
(2, 6, 13, 7, 10, 3, 2, 4, 3, 2, 2, 1, 0, 9, 14, 6, 3, 10, 4, 1, 0, 3, 3, 0, 0, 0), # 53
(6, 10, 8, 4, 5, 0, 2, 2, 1, 0, 2, 1, 0, 6, 11, 9, 5, 7, 2, 2, 0, 5, 1, 1, 1, 0), # 54
(9, 6, 7, 4, 12, 1, 1, 3, 8, 1, 1, 1, 0, 8, 12, 5, 1, 7, 1, 3, 0, 2, 2, 0, 1, 0), # 55
(11, 8, 12, 14, 5, 2, 2, 2, 3, 3, 0, 1, 0, 7, 11, 8, 6, 2, 4, 7, 1, 2, 5, 0, 1, 0), # 56
(6, 7, 4, 11, 6, 1, 6, 1, 4, 0, 0, 2, 0, 8, 8, 4, 7, 7, 5, 2, 1, 3, 2, 1, 0, 0), # 57
(6, 4, 3, 9, 10, 1, 8, 1, 3, 0, 1, 1, 0, 17, 8, 5, 4, 5, 4, 0, 6, 2, 3, 1, 0, 0), # 58
(9, 10, 6, 8, 4, 3, 2, 4, 6, 2, 1, 0, 0, 3, 10, 4, 6, 5, 1, 4, 2, 1, 3, 1, 0, 0), # 59
(13, 5, 3, 6, 4, 5, 3, 0, 4, 1, 1, 1, 0, 7, 9, 4, 3, 8, 4, 1, 3, 2, 1, 1, 0, 0), # 60
(1, 3, 3, 6, 6, 3, 2, 2, 3, 0, 2, 1, 0, 7, 4, 7, 3, 9, 9, 4, 1, 4, 1, 1, 0, 0), # 61
(12, 5, 9, 6, 3, 6, 2, 2, 3, 2, 2, 0, 0, 11, 3, 6, 3, 4, 6, 4, 4, 2, 4, 2, 0, 0), # 62
(10, 11, 6, 5, 7, 1, 2, 4, 3, 2, 0, 0, 0, 8, 6, 3, 3, 5, 0, 4, 2, 2, 4, 1, 0, 0), # 63
(8, 5, 7, 7, 8, 3, 3, 2, 4, 0, 3, 1, 0, 6, 8, 1, 3, 10, 5, 2, 4, 3, 2, 1, 0, 0), # 64
(5, 5, 6, 5, 2, 1, 3, 3, 3, 1, 1, 0, 0, 7, 4, 5, 5, 2, 0, 4, 2, 2, 4, 1, 0, 0), # 65
(11, 11, 6, 8, 5, 1, 2, 4, 5, 2, 0, 0, 0, 9, 7, 8, 5, 5, 3, 5, 3, 1, 3, 2, 1, 0), # 66
(11, 6, 8, 7, 4, 2, 2, 1, 5, 1, 3, 0, 0, 10, 8, 6, 7, 11, 6, 3, 2, 2, 1, 3, 0, 0), # 67
(11, 7, 10, 5, 2, 4, 2, 1, 2, 1, 1, 1, 0, 7, 6, 7, 7, 8, 3, 2, 4, 2, 1, 2, 0, 0), # 68
(9, 9, 9, 3, 4, 1, 2, 2, 2, 2, 0, 0, 0, 7, 8, 2, 2, 8, 1, 3, 2, 3, 2, 1, 1, 0), # 69
(10, 7, 9, 4, 7, 0, 4, 2, 1, 1, 0, 0, 0, 13, 8, 6, 7, 5, 3, 3, 2, 3, 4, 1, 0, 0), # 70
(7, 3, 8, 7, 5, 2, 3, 2, 5, 0, 1, 0, 0, 7, 5, 13, 1, 8, 2, 3, 2, 2, 2, 0, 1, 0), # 71
(10, 7, 14, 4, 8, 4, 1, 1, 3, 0, 0, 0, 0, 4, 8, 7, 5, 7, 9, 5, 1, 6, 3, 1, 1, 0), # 72
(6, 6, 8, 7, 6, 0, 3, 4, 7, 2, 0, 1, 0, 6, 5, 4, 3, 2, 2, 2, 3, 2, 1, 1, 0, 0), # 73
(1, 8, 5, 7, 7, 2, 4, 4, 4, 4, 0, 2, 0, 5, 3, 4, 0, 4, 5, 3, 3, 4, 6, 1, 1, 0), # 74
(8, 4, 6, 3, 5, 8, 2, 0, 4, 1, 1, 0, 0, 12, 5, 5, 4, 7, 3, 3, 3, 2, 3, 1, 2, 0), # 75
(14, 5, 6, 4, 13, 5, 0, 4, 2, 0, 2, 0, 0, 8, 9, 3, 4, 6, 5, 5, 1, 1, 5, 3, 0, 0), # 76
(12, 4, 4, 5, 8, 2, 3, 1, 4, 4, 2, 1, 0, 8, 4, 5, 5, 6, 1, 0, 3, 2, 2, 0, 1, 0), # 77
(12, 7, 9, 5, 8, 1, 4, 0, 0, 4, 3, 1, 0, 8, 6, 5, 1, 5, 3, 4, 2, 3, 2, 2, 1, 0), # 78
(4, 7, 12, 8, 9, 3, 2, 2, 3, 2, 1, 3, 0, 8, 3, 4, 2, 5, 4, 4, 1, 2, 3, 1, 0, 0), # 79
(11, 6, 3, 9, 7, 1, 6, 1, 2, 2, 2, 0, 0, 6, 6, 4, 3, 4, 8, 1, 2, 2, 1, 1, 0, 0), # 80
(8, 4, 9, 6, 7, 3, 2, 3, 4, 1, 0, 0, 0, 11, 3, 8, 4, 8, 5, 2, 2, 4, 1, 1, 1, 0), # 81
(9, 8, 11, 1, 6, 1, 2, 4, 2, 0, 1, 1, 0, 7, 5, 5, 4, 7, 5, 5, 0, 2, 0, 2, 0, 0), # 82
(11, 7, 3, 11, 8, 1, 2, 2, 1, 0, 1, 0, 0, 4, 8, 4, 6, 11, 4, 1, 4, 2, 5, 1, 1, 0), # 83
(9, 4, 3, 9, 5, 1, 2, 1, 0, 0, 2, 0, 0, 8, 2, 5, 9, 8, 5, 3, 4, 3, 4, 3, 1, 0), # 84
(3, 6, 7, 9, 4, 0, 3, 1, 0, 1, 1, 0, 0, 17, 7, 2, 0, 6, 2, 3, 1, 3, 1, 2, 1, 0), # 85
(3, 6, 7, 4, 5, 3, 3, 3, 2, 1, 1, 0, 0, 12, 4, 3, 3, 6, 6, 4, 5, 4, 4, 0, 0, 0), # 86
(9, 8, 11, 8, 5, 2, 5, 3, 2, 1, 1, 0, 0, 7, 7, 7, 3, 6, 4, 3, 0, 3, 0, 0, 0, 0), # 87
(9, 7, 9, 8, 4, 6, 2, 2, 4, 3, 2, 1, 0, 5, 8, 8, 3, 5, 3, 3, 3, 4, 1, 0, 0, 0), # 88
(6, 8, 2, 6, 4, 1, 5, 2, 3, 3, 2, 1, 0, 9, 6, 6, 1, 5, 4, 3, 2, 5, 2, 0, 0, 0), # 89
(6, 8, 2, 3, 8, 3, 2, 3, 3, 2, 1, 0, 0, 9, 3, 6, 7, 7, 2, 3, 3, 2, 5, 1, 1, 0), # 90
(6, 7, 9, 2, 5, 1, 2, 0, 2, 2, 1, 0, 0, 6, 6, 2, 3, 5, 5, 4, 1, 3, 0, 1, 0, 0), # 91
(7, 2, 12, 8, 5, 2, 6, 0, 3, 0, 2, 0, 0, 5, 5, 2, 5, 12, 6, 3, 4, 12, 2, 0, 3, 0), # 92
(7, 7, 6, 8, 5, 2, 3, 1, 4, 0, 3, 0, 0, 14, 8, 5, 2, 4, 2, 7, 2, 3, 1, 1, 1, 0), # 93
(12, 7, 5, 3, 8, 5, 4, 3, 6, 3, 1, 2, 0, 7, 6, 8, 4, 10, 4, 3, 2, 4, 2, 0, 0, 0), # 94
(5, 6, 5, 5, 6, 3, 2, 2, 3, 2, 0, 1, 0, 9, 7, 10, 6, 5, 4, 0, 3, 2, 2, 2, 1, 0), # 95
(5, 10, 8, 2, 4, 3, 6, 3, 1, 2, 1, 0, 0, 5, 8, 3, 4, 6, 5, 0, 3, 1, 2, 1, 1, 0), # 96
(10, 3, 7, 4, 5, 1, 3, 0, 4, 0, 3, 0, 0, 9, 8, 8, 5, 11, 5, 4, 1, 3, 2, 1, 2, 0), # 97
(3, 4, 9, 7, 5, 2, 5, 3, 4, 2, 1, 1, 0, 9, 6, 4, 7, 6, 2, 3, 2, 2, 2, 2, 0, 0), # 98
(9, 5, 8, 3, 6, 1, 1, 5, 0, 1, 0, 0, 0, 7, 6, 3, 4, 3, 3, 3, 2, 6, 3, 0, 0, 0), # 99
(6, 6, 3, 8, 7, 1, 1, 2, 3, 1, 2, 0, 0, 8, 4, 7, 3, 9, 3, 4, 5, 2, 3, 3, 0, 0), # 100
(8, 4, 5, 8, 3, 6, 2, 4, 2, 1, 1, 1, 0, 12, 9, 7, 3, 6, 4, 4, 3, 1, 6, 2, 0, 0), # 101
(7, 8, 1, 7, 6, 1, 2, 1, 7, 0, 0, 0, 0, 5, 4, 11, 2, 3, 3, 3, 1, 1, 3, 1, 1, 0), # 102
(9, 4, 9, 5, 3, 5, 3, 0, 4, 0, 2, 0, 0, 10, 5, 7, 2, 8, 3, 2, 2, 4, 2, 1, 0, 0), # 103
(8, 3, 3, 5, 5, 3, 1, 5, 2, 0, 2, 0, 0, 6, 8, 1, 2, 6, 2, 2, 1, 2, 2, 0, 0, 0), # 104
(11, 3, 4, 7, 5, 2, 2, 0, 1, 2, 1, 0, 0, 6, 15, 6, 4, 7, 2, 6, 0, 2, 5, 1, 0, 0), # 105
(10, 11, 9, 5, 3, 2, 2, 1, 1, 0, 2, 0, 0, 9, 11, 9, 6, 4, 3, 6, 2, 7, 5, 0, 0, 0), # 106
(3, 6, 11, 7, 5, 0, 1, 2, 4, 0, 1, 1, 0, 9, 7, 5, 3, 14, 2, 4, 3, 1, 2, 2, 0, 0), # 107
(6, 11, 3, 8, 3, 8, 0, 2, 0, 3, 1, 0, 0, 3, 6, 4, 3, 9, 1, 4, 3, 3, 5, 1, 0, 0), # 108
(8, 4, 10, 6, 5, 2, 6, 3, 0, 3, 0, 0, 0, 8, 8, 4, 1, 8, 3, 4, 0, 0, 1, 3, 2, 0), # 109
(9, 8, 3, 4, 3, 3, 2, 5, 4, 2, 2, 1, 0, 5, 10, 3, 5, 6, 3, 5, 3, 3, 1, 0, 1, 0), # 110
(11, 2, 7, 5, 6, 3, 3, 6, 2, 1, 1, 2, 0, 10, 2, 2, 5, 3, 4, 3, 1, 4, 1, 2, 0, 0), # 111
(10, 5, 4, 10, 5, 5, 3, 3, 3, 1, 2, 1, 0, 7, 9, 6, 8, 4, 1, 3, 1, 1, 1, 2, 0, 0), # 112
(7, 7, 3, 8, 7, 4, 2, 1, 0, 1, 0, 0, 0, 12, 4, 4, 3, 4, 1, 3, 2, 1, 5, 1, 3, 0), # 113
(3, 9, 4, 5, 8, 4, 2, 2, 2, 1, 1, 0, 0, 8, 2, 5, 4, 7, 3, 3, 2, 4, 2, 1, 1, 0), # 114
(9, 9, 9, 6, 10, 1, 3, 1, 3, 1, 0, 0, 0, 10, 8, 6, 6, 7, 2, 3, 0, 6, 0, 1, 1, 0), # 115
(10, 12, 5, 5, 4, 2, 3, 5, 4, 0, 2, 2, 0, 11, 11, 5, 3, 7, 4, 3, 2, 6, 1, 0, 1, 0), # 116
(5, 7, 5, 7, 7, 1, 2, 2, 4, 2, 1, 1, 0, 5, 7, 6, 4, 4, 3, 2, 1, 3, 0, 1, 1, 0), # 117
(6, 6, 7, 4, 5, 4, 1, 0, 3, 3, 2, 1, 0, 4, 8, 3, 6, 2, 3, 1, 5, 0, 0, 0, 0, 0), # 118
(8, 4, 5, 5, 6, 4, 3, 3, 5, 1, 1, 0, 0, 10, 7, 5, 2, 12, 3, 2, 4, 1, 2, 0, 1, 0), # 119
(14, 6, 5, 5, 2, 1, 2, 1, 1, 0, 0, 0, 0, 9, 4, 1, 4, 4, 3, 2, 2, 1, 0, 0, 0, 0), # 120
(10, 6, 7, 9, 3, 8, 5, 1, 4, 2, 2, 1, 0, 10, 12, 7, 4, 5, 4, 2, 2, 5, 1, 0, 1, 0), # 121
(10, 3, 5, 13, 5, 4, 1, 2, 4, 0, 1, 1, 0, 5, 5, 2, 3, 4, 9, 3, 2, 2, 1, 0, 0, 0), # 122
(12, 5, 6, 5, 3, 3, 1, 3, 0, 0, 1, 1, 0, 14, 8, 4, 1, 7, 2, 2, 1, 4, 2, 1, 1, 0), # 123
(11, 8, 4, 11, 5, 4, 0, 2, 2, 2, 1, 1, 0, 9, 7, 4, 2, 3, 4, 3, 2, 2, 2, 2, 0, 0), # 124
(4, 5, 9, 4, 3, 4, 3, 2, 1, 1, 0, 0, 0, 8, 5, 2, 3, 3, 2, 3, 2, 2, 0, 2, 2, 0), # 125
(8, 3, 2, 10, 3, 2, 1, 2, 2, 0, 0, 0, 0, 7, 3, 5, 1, 4, 2, 6, 3, 3, 5, 1, 0, 0), # 126
(7, 3, 5, 7, 4, 3, 2, 3, 2, 0, 0, 0, 0, 6, 3, 6, 4, 6, 5, 0, 3, 5, 0, 1, 0, 0), # 127
(6, 5, 2, 3, 3, 0, 3, 1, 1, 0, 1, 1, 0, 7, 8, 2, 2, 4, 3, 1, 3, 6, 1, 0, 1, 0), # 128
(8, 10, 7, 10, 7, 2, 1, 1, 1, 1, 1, 0, 0, 3, 2, 3, 5, 7, 1, 4, 1, 5, 4, 1, 0, 0), # 129
(6, 5, 6, 4, 5, 1, 2, 2, 3, 1, 0, 0, 0, 4, 3, 4, 3, 8, 2, 1, 1, 2, 4, 1, 2, 0), # 130
(8, 7, 7, 8, 6, 5, 3, 1, 2, 0, 1, 0, 0, 10, 5, 4, 5, 8, 1, 1, 2, 1, 4, 2, 0, 0), # 131
(10, 5, 10, 6, 7, 3, 3, 2, 1, 0, 1, 0, 0, 5, 6, 2, 5, 6, 0, 4, 3, 3, 2, 0, 2, 0), # 132
(3, 7, 4, 5, 3, 6, 4, 3, 3, 5, 1, 1, 0, 3, 9, 6, 3, 5, 1, 2, 0, 2, 3, 1, 0, 0), # 133
(4, 7, 11, 5, 3, 2, 2, 0, 5, 2, 1, 0, 0, 12, 4, 6, 2, 7, 4, 2, 2, 1, 3, 2, 2, 0), # 134
(7, 5, 5, 11, 6, 1, 2, 2, 3, 0, 2, 0, 0, 5, 6, 2, 1, 3, 4, 2, 1, 2, 1, 3, 0, 0), # 135
(7, 7, 8, 7, 3, 1, 1, 2, 4, 3, 2, 1, 0, 5, 4, 4, 4, 5, 2, 5, 1, 5, 3, 0, 0, 0), # 136
(6, 7, 4, 10, 6, 2, 3, 3, 3, 1, 1, 0, 0, 5, 5, 2, 1, 8, 3, 2, 1, 0, 3, 0, 2, 0), # 137
(4, 4, 5, 4, 7, 5, 4, 3, 3, 0, 0, 0, 0, 5, 6, 4, 7, 10, 1, 6, 1, 3, 3, 0, 0, 0), # 138
(7, 8, 5, 4, 5, 1, 3, 1, 1, 0, 0, 2, 0, 5, 1, 4, 0, 4, 5, 4, 1, 2, 2, 1, 2, 0), # 139
(2, 3, 9, 7, 4, 1, 3, 1, 4, 1, 0, 0, 0, 7, 6, 5, 4, 8, 3, 1, 1, 4, 4, 0, 1, 0), # 140
(6, 2, 1, 9, 4, 3, 2, 1, 3, 0, 1, 2, 0, 8, 8, 3, 4, 5, 1, 2, 1, 3, 1, 3, 0, 0), # 141
(5, 2, 10, 10, 8, 2, 4, 0, 4, 2, 1, 0, 0, 6, 8, 4, 4, 9, 0, 0, 2, 3, 1, 1, 0, 0), # 142
(8, 1, 8, 3, 5, 1, 3, 2, 3, 0, 1, 1, 0, 6, 8, 3, 6, 8, 4, 1, 3, 0, 2, 3, 1, 0), # 143
(5, 5, 4, 6, 0, 4, 2, 1, 1, 0, 0, 1, 0, 5, 5, 8, 5, 5, 1, 0, 3, 3, 1, 0, 0, 0), # 144
(14, 5, 3, 4, 1, 2, 3, 1, 2, 0, 1, 1, 0, 5, 5, 9, 3, 6, 2, 4, 2, 2, 0, 1, 1, 0), # 145
(11, 6, 3, 4, 5, 2, 2, 1, 5, 2, 5, 1, 0, 10, 6, 2, 2, 7, 3, 1, 3, 2, 4, 1, 0, 0), # 146
(7, 3, 5, 6, 9, 2, 2, 5, 3, 2, 2, 0, 0, 5, 5, 6, 3, 6, 3, 6, 1, 2, 5, 0, 0, 0), # 147
(8, 4, 4, 5, 2, 2, 2, 4, 1, 1, 1, 2, 0, 7, 4, 3, 4, 6, 5, 7, 0, 2, 5, 0, 0, 0), # 148
(10, 5, 6, 3, 3, 4, 3, 3, 2, 1, 1, 1, 0, 4, 5, 5, 2, 1, 3, 2, 1, 1, 2, 1, 0, 0), # 149
(8, 7, 8, 1, 6, 3, 4, 3, 2, 0, 0, 0, 0, 3, 7, 2, 1, 2, 2, 2, 1, 0, 2, 1, 0, 0), # 150
(2, 7, 6, 1, 5, 3, 0, 3, 2, 2, 1, 1, 0, 8, 4, 1, 2, 7, 1, 1, 3, 3, 1, 2, 1, 0), # 151
(2, 5, 3, 4, 5, 5, 2, 1, 1, 3, 1, 0, 0, 8, 3, 5, 4, 6, 1, 2, 2, 5, 1, 2, 1, 0), # 152
(8, 6, 5, 5, 4, 2, 2, 1, 3, 0, 0, 0, 0, 3, 6, 5, 1, 9, 1, 1, 0, 3, 2, 2, 1, 0), # 153
(5, 5, 5, 6, 5, 0, 3, 3, 3, 0, 1, 1, 0, 12, 6, 2, 3, 3, 3, 1, 0, 1, 5, 1, 0, 0), # 154
(4, 1, 4, 1, 3, 2, 1, 2, 4, 2, 0, 0, 0, 4, 6, 3, 5, 3, 1, 2, 4, 2, 2, 0, 0, 0), # 155
(5, 4, 11, 3, 8, 2, 4, 0, 1, 1, 0, 0, 0, 2, 3, 2, 4, 3, 1, 4, 2, 2, 3, 0, 1, 0), # 156
(5, 4, 6, 4, 5, 3, 3, 2, 5, 0, 1, 1, 0, 11, 6, 3, 5, 6, 5, 2, 4, 4, 1, 1, 0, 0), # 157
(6, 3, 3, 4, 4, 1, 1, 1, 2, 1, 0, 1, 0, 2, 6, 7, 3, 5, 2, 0, 4, 2, 2, 1, 0, 0), # 158
(11, 5, 2, 7, 8, 2, 1, 3, 0, 1, 0, 0, 0, 5, 6, 4, 1, 5, 2, 2, 0, 1, 4, 2, 2, 0), # 159
(7, 3, 7, 3, 5, 2, 0, 0, 3, 0, 0, 0, 0, 10, 3, 4, 2, 4, 4, 2, 3, 1, 1, 1, 1, 0), # 160
(1, 5, 4, 3, 3, 2, 1, 1, 4, 1, 0, 1, 0, 10, 3, 8, 4, 3, 1, 2, 1, 2, 1, 0, 1, 0), # 161
(6, 3, 6, 5, 5, 1, 1, 2, 0, 0, 3, 0, 0, 3, 4, 2, 2, 3, 1, 2, 1, 4, 3, 1, 0, 0), # 162
(11, 2, 4, 4, 4, 0, 2, 3, 3, 2, 0, 1, 0, 2, 6, 3, 2, 7, 4, 1, 2, 0, 0, 1, 0, 0), # 163
(2, 4, 1, 11, 5, 6, 3, 1, 2, 2, 1, 1, 0, 11, 0, 2, 4, 2, 1, 2, 1, 3, 2, 1, 0, 0), # 164
(8, 5, 3, 7, 2, 3, 4, 0, 1, 0, 1, 0, 0, 9, 4, 6, 3, 3, 1, 2, 0, 3, 0, 0, 1, 0), # 165
(7, 3, 5, 4, 1, 2, 0, 0, 1, 1, 0, 0, 0, 8, 6, 3, 2, 4, 3, 1, 1, 1, 2, 2, 0, 0), # 166
(6, 2, 4, 7, 3, 5, 3, 0, 2, 0, 1, 0, 0, 3, 3, 0, 3, 5, 6, 2, 3, 1, 1, 2, 0, 0), # 167
(6, 3, 5, 1, 2, 3, 1, 1, 3, 1, 1, 1, 0, 7, 8, 2, 2, 3, 1, 3, 4, 4, 2, 1, 0, 0), # 168
(5, 0, 3, 5, 3, 2, 1, 1, 2, 0, 0, 0, 0, 10, 4, 2, 2, 3, 2, 2, 0, 4, 1, 1, 0, 0), # 169
(3, 3, 2, 3, 7, 2, 1, 0, 4, 0, 0, 0, 0, 8, 2, 4, 2, 5, 3, 1, 1, 1, 5, 1, 0, 0), # 170
(5, 4, 3, 6, 4, 3, 2, 2, 2, 1, 1, 1, 0, 3, 4, 2, 0, 6, 3, 2, 1, 4, 2, 1, 0, 0), # 171
(4, 7, 5, 3, 5, 0, 4, 1, 2, 1, 0, 0, 0, 8, 4, 1, 2, 1, 1, 2, 1, 3, 1, 0, 0, 0), # 172
(4, 0, 3, 6, 6, 4, 0, 0, 4, 1, 1, 2, 0, 2, 5, 1, 4, 2, 1, 3, 1, 2, 1, 1, 0, 0), # 173
(6, 5, 6, 6, 2, 2, 1, 2, 0, 0, 0, 1, 0, 3, 2, 4, 1, 5, 2, 1, 0, 2, 0, 1, 2, 0), # 174
(5, 4, 6, 1, 3, 4, 1, 2, 3, 3, 1, 0, 0, 3, 2, 1, 3, 4, 0, 0, 0, 2, 0, 1, 0, 0), # 175
(2, 2, 0, 5, 0, 1, 2, 0, 0, 0, 0, 0, 0, 3, 3, 1, 3, 5, 2, 0, 1, 1, 0, 1, 0, 0), # 176
(5, 2, 2, 3, 4, 3, 1, 1, 1, 2, 0, 0, 0, 2, 1, 2, 2, 4, 2, 0, 0, 1, 0, 1, 0, 0), # 177
(3, 0, 6, 1, 2, 1, 2, 0, 0, 0, 1, 0, 0, 3, 2, 1, 0, 5, 1, 1, 1, 6, 6, 0, 0, 0), # 178
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # 179
)
station_arriving_intensity = (
(4.0166924626974145, 4.420230847754533, 4.169026583690005, 4.971734219090746, 4.4437484860876895, 2.5109239456298713, 3.3168284922991322, 3.7225409383835384, 4.872079249734406, 3.166412012417896, 3.3642121311084825, 3.918332062644939, 4.067104170062691), # 0
(4.283461721615979, 4.712048555315807, 4.444277273064122, 5.3001154026212935, 4.737992269979389, 2.6767868672340445, 3.535575153010955, 3.9676109783245668, 5.1937962610663275, 3.37518455382172, 3.5864769087649053, 4.176973328651484, 4.3358333179518835), # 1
(4.549378407183785, 5.0027081367127835, 4.718433828437931, 5.627190163731836, 5.0311703789997955, 2.841988091609956, 3.7534548063685635, 4.211700198323536, 5.514229445502039, 3.583131020016437, 3.8078585190210505, 4.434586121642444, 4.603491862567752), # 2
(4.81340623451725, 5.291056401549158, 4.9904086954558835, 5.951661126025659, 5.322129340801522, 3.0058724980680904, 3.9696029133183646, 4.453840925995606, 5.832108128736874, 3.7894261587409446, 4.027478729461906, 4.690148547944369, 4.869018245003381), # 3
(5.074508918732786, 5.57594015942862, 5.259114319762429, 6.272230913106056, 5.609715683037194, 3.1677849659189343, 4.183154934806767, 4.6930654889559325, 6.146161636466166, 3.993244717734143, 4.24445930767246, 4.942638713883811, 5.131350906351854), # 4
(5.331650174946809, 5.856206219954871, 5.523463147002015, 6.587602148576315, 5.892775933359424, 3.3270703744729717, 4.393246331780179, 4.928406214819674, 6.455119294385248, 4.193761444734931, 4.457922021237706, 5.191034725787318, 5.389428287706262), # 5
(5.583793718275733, 6.130701392731601, 5.782367622819093, 6.896477456039722, 6.170156619420835, 3.4830736030406912, 4.59901256518501, 5.158895431201991, 6.757710428189452, 4.390151087482207, 4.666988637742626, 5.434314689981447, 5.642188830159686), # 6
(5.829903263835975, 6.398272487362505, 6.034740192858108, 7.19755945909957, 6.440704268874043, 3.6351395309325767, 4.799589095967668, 5.383565465718042, 7.052664363574116, 4.58158839371487, 4.870780924772215, 5.671456712792743, 5.888570974805216), # 7
(6.068942526743948, 6.65776631345128, 6.279493302763517, 7.489550781359142, 6.703265409371669, 3.782613037459112, 4.994111385074558, 5.60144864598298, 7.338710426234565, 4.76724811117182, 5.068420649911457, 5.901438900547762, 6.127513162735934), # 8
(6.299875222116068, 6.908029680601619, 6.515539398179763, 7.771154046421735, 6.956686568566328, 3.924839001930787, 5.181714893452096, 5.811577299611971, 7.6145779418661395, 4.946304987591954, 5.259029580745342, 6.123239359573051, 6.35795383504493), # 9
(6.5216650650687455, 7.147909398417212, 6.7417909247512995, 8.04107187789063, 7.199814274110641, 4.061162303658086, 5.361535082046684, 6.012983754220169, 7.878996236164172, 5.117933770714171, 5.441729484858859, 6.335836196195162, 6.578831432825289), # 10
(6.7332757707184046, 7.3762522765017655, 6.957160328122573, 8.298006899369119, 7.431495053657227, 4.190927821951495, 5.532707411804733, 6.204700337422732, 8.130694634823994, 5.281309208277375, 5.615642129836999, 6.538207516740648, 6.78908439717009), # 11
(6.93367105418145, 7.591905124458958, 7.160560053938032, 8.54066173446049, 7.650575434858702, 4.313480436121496, 5.694367343672649, 6.385759376834817, 8.368402463540944, 5.435606048020458, 5.7798892832647475, 6.729331427536055, 6.987651169172428), # 12
(7.121814630574301, 7.793714751892496, 7.3509025478421295, 8.767739006768036, 7.855901945367681, 4.428165025478579, 5.845650338596845, 6.555193200071585, 8.590849048010346, 5.579999037682324, 5.933592712727095, 6.908186034907937, 7.173470189925388), # 13
(7.296670215013373, 7.980527968406071, 7.527100255479318, 8.977941339895034, 8.046321112836791, 4.5343264693332275, 5.9856918575237295, 6.7120341347481975, 8.796763713927538, 5.713662925001867, 6.0758741858090275, 7.073749445182848, 7.345479900522051), # 14
(7.457201522615084, 8.151191583603374, 7.688065622494034, 9.169971357444789, 8.220679464918646, 4.63130964699593, 6.1136273613997005, 6.855314508479805, 8.984875786987855, 5.835772457717993, 6.2058554700955355, 7.224999764687337, 7.502618742055505), # 15
(7.602372268495841, 8.304552407088106, 7.83271109453074, 9.342531683020573, 8.377823529265866, 4.718459437777168, 6.228592311171181, 6.984066648881569, 9.153914592886629, 5.945502383569597, 6.32265833317161, 7.360915099747952, 7.643825155618837), # 16
(7.73114616777206, 8.439457248463958, 7.959949117233882, 9.49432494022569, 8.516599833531071, 4.795120720987429, 6.329722167784569, 7.097322883568655, 9.302609457319187, 6.042027450295574, 6.425404542622239, 7.480473556691244, 7.768037582305133), # 17
(7.842486935560164, 8.55475291733462, 8.068692136247904, 9.624053752663423, 8.635854905366871, 4.860638375937203, 6.416152392186281, 7.194115540156209, 9.429689705980877, 6.1245224056348295, 6.513215866032407, 7.582653241843772, 7.874194463207477), # 18
(7.935358286976559, 8.649286223303795, 8.157852597217262, 9.730420743937053, 8.734435272425893, 4.914357281936967, 6.4870184453227155, 7.273476946259397, 9.533884664567024, 6.192161997326263, 6.585214070987103, 7.666432261532077, 7.961234239418957), # 19
(8.008723937137665, 8.72190397597517, 8.226342945786403, 9.812128537649883, 8.811187462360754, 4.955622318297215, 6.54145578814029, 7.334439429493374, 9.61392365877296, 6.2441209731087675, 6.64052092507132, 7.730788722082713, 8.02809535203266), # 20
(8.061547601159893, 8.771452984952447, 8.273075627599775, 9.86787975740519, 8.864958002824071, 4.983778364328429, 6.578599881585408, 7.376035317473299, 9.668536014294018, 6.279574080721244, 6.678258195870048, 7.774700729822235, 8.073716242141662), # 21
(8.092792994159664, 8.796780059839316, 8.296963088301828, 9.89637702680627, 8.89459342146846, 4.998170299341094, 6.59758618660448, 7.397296937814332, 9.696451056825532, 6.297696067902594, 6.697547650968272, 7.797146391077192, 8.097035350839063), # 22
(8.104314690674112, 8.799778875171468, 8.299938545953362, 9.899944650205763, 8.902185644826078, 5.0, 6.599843201807471, 7.399595061728395, 9.699940987654323, 6.299833818015546, 6.699966429729392, 7.799918061271147, 8.1), # 23
(8.112809930427323, 8.79802962962963, 8.299451851851853, 9.899505555555557, 8.906486090891882, 5.0, 6.598603050108934, 7.3964, 9.699473333333334, 6.29852049382716, 6.699699663299665, 7.799269135802469, 8.1), # 24
(8.121125784169264, 8.794581618655693, 8.29849108367627, 9.898636831275722, 8.910691956475603, 5.0, 6.596159122085048, 7.390123456790125, 9.69854938271605, 6.295935070873343, 6.69917071954109, 7.797988111568358, 8.1), # 25
(8.129261615238427, 8.789487517146778, 8.297069410150893, 9.897348353909464, 8.914803094736884, 5.0, 6.592549374646977, 7.380883950617285, 9.69718098765432, 6.29212056698674, 6.698384387080684, 7.7960925468678575, 8.1), # 26
(8.13721678697331, 8.7828, 8.2952, 9.89565, 8.918819358835371, 5.0, 6.587811764705883, 7.3688, 9.69538, 6.28712, 6.697345454545455, 7.793600000000001, 8.1), # 27
(8.1449906627124, 8.774571742112483, 8.292896021947874, 9.893551646090536, 8.922740601930721, 5.0, 6.581984249172921, 7.353990123456791, 9.693158271604938, 6.2809763877457705, 6.696058710562415, 7.790528029263832, 8.1), # 28
(8.1525826057942, 8.764855418381345, 8.290170644718794, 9.89106316872428, 8.926566677182576, 5.0, 6.575104784959253, 7.3365728395061724, 9.690527654320988, 6.273732748056699, 6.6945289437585735, 7.78689419295839, 8.1), # 29
(8.159991979557198, 8.753703703703705, 8.287037037037036, 9.888194444444444, 8.930297437750589, 5.0, 6.567211328976035, 7.316666666666666, 9.6875, 6.265432098765433, 6.692760942760943, 7.782716049382715, 8.1), # 30
(8.167218147339886, 8.741169272976682, 8.283508367626887, 9.88495534979424, 8.933932736794407, 5.0, 6.558341838134432, 7.2943901234567905, 9.684087160493828, 6.256117457704619, 6.6907594961965335, 7.778011156835849, 8.1), # 31
(8.174260472480764, 8.727304801097395, 8.27959780521262, 9.881355761316874, 8.937472427473677, 5.0, 6.548534269345599, 7.269861728395063, 9.680300987654322, 6.245831842706905, 6.688529392692356, 7.772797073616828, 8.1), # 32
(8.181118318318317, 8.712162962962962, 8.27531851851852, 9.877405555555555, 8.94091636294805, 5.0, 6.537826579520697, 7.243200000000001, 9.676153333333334, 6.234618271604939, 6.6860754208754205, 7.7670913580246905, 8.1), # 33
(8.187791048191048, 8.695796433470507, 8.270683676268861, 9.873114609053498, 8.944264396377173, 5.0, 6.526256725570888, 7.214523456790123, 9.671656049382719, 6.222519762231368, 6.68340236937274, 7.760911568358482, 8.1), # 34
(8.194278025437447, 8.678257887517146, 8.26570644718793, 9.868492798353909, 8.947516380920696, 5.0, 6.513862664407327, 7.183950617283951, 9.666820987654322, 6.209579332418839, 6.680515026811323, 7.754275262917239, 8.1), # 35
(8.200578613396004, 8.6596, 8.2604, 9.86355, 8.950672169738269, 5.0, 6.500682352941176, 7.151600000000001, 9.66166, 6.1958400000000005, 6.677418181818182, 7.747200000000001, 8.1), # 36
(8.20669217540522, 8.639875445816186, 8.254777503429356, 9.85829609053498, 8.953731615989538, 5.0, 6.486753748083595, 7.11759012345679, 9.656184938271606, 6.1813447828075, 6.674116623020328, 7.739703337905808, 8.1), # 37
(8.212618074803581, 8.619136899862827, 8.248852126200275, 9.85274094650206, 8.956694572834152, 5.0, 6.4721148067457435, 7.0820395061728405, 9.650407654320988, 6.166136698673983, 6.670615139044769, 7.7318028349337, 8.1), # 38
(8.218355674929589, 8.597437037037038, 8.242637037037039, 9.846894444444445, 8.959560893431762, 5.0, 6.456803485838781, 7.045066666666667, 9.644340000000001, 6.150258765432099, 6.666918518518519, 7.723516049382716, 8.1), # 39
(8.22390433912173, 8.574828532235939, 8.236145404663922, 9.84076646090535, 8.962330430942016, 5.0, 6.440857742273865, 7.006790123456792, 9.637993827160495, 6.133754000914496, 6.663031550068587, 7.714860539551899, 8.1), # 40
(8.229263430718502, 8.551364060356653, 8.229390397805213, 9.834366872427985, 8.965003038524562, 5.0, 6.424315532962156, 6.967328395061729, 9.631380987654321, 6.116665422953818, 6.658959022321986, 7.705853863740284, 8.1), # 41
(8.2344323130584, 8.527096296296298, 8.222385185185187, 9.827705555555557, 8.967578569339047, 5.0, 6.4072148148148145, 6.9268, 9.624513333333335, 6.0990360493827165, 6.654705723905725, 7.696513580246914, 8.1), # 42
(8.239410349479915, 8.50207791495199, 8.215142935528121, 9.820792386831277, 8.970056876545122, 5.0, 6.389593544743001, 6.8853234567901245, 9.617402716049384, 6.080908898033837, 6.650276443446813, 7.6868572473708285, 8.1), # 43
(8.244196903321543, 8.47636159122085, 8.2076768175583, 9.813637242798356, 8.972437813302436, 5.0, 6.371489679657872, 6.843017283950619, 9.610060987654322, 6.062326986739826, 6.645675969572266, 7.676902423411066, 8.1), # 44
(8.248791337921773, 8.450000000000001, 8.200000000000001, 9.80625, 8.974721232770637, 5.0, 6.352941176470589, 6.800000000000001, 9.6025, 6.043333333333334, 6.640909090909091, 7.666666666666666, 8.1), # 45
(8.253193016619106, 8.423045816186557, 8.192125651577504, 9.798640534979425, 8.976906988109373, 5.0, 6.333985992092311, 6.756390123456791, 9.594731604938271, 6.023970955647005, 6.635980596084299, 7.656167535436672, 8.1), # 46
(8.257401302752028, 8.39555171467764, 8.18406694101509, 9.790818724279836, 8.978994932478294, 5.0, 6.3146620834341975, 6.712306172839506, 9.586767654320989, 6.004282871513489, 6.630895273724903, 7.64542258802012, 8.1), # 47
(8.261415559659037, 8.367570370370371, 8.175837037037038, 9.782794444444447, 8.980984919037049, 5.0, 6.295007407407407, 6.667866666666668, 9.57862, 5.984312098765432, 6.625657912457912, 7.634449382716049, 8.1), # 48
(8.26523515067863, 8.339154458161865, 8.167449108367627, 9.774577572016462, 8.982876800945286, 5.0, 6.275059920923102, 6.623190123456791, 9.57030049382716, 5.964101655235483, 6.6202733009103385, 7.623265477823503, 8.1), # 49
(8.268859439149294, 8.310356652949247, 8.15891632373114, 9.766177983539094, 8.984670431362652, 5.0, 6.25485758089244, 6.578395061728395, 9.56182098765432, 5.943694558756287, 6.61474622770919, 7.611888431641519, 8.1), # 50
(8.272287788409528, 8.28122962962963, 8.150251851851852, 9.757605555555557, 8.9863656634488, 5.0, 6.23443834422658, 6.5336, 9.553193333333335, 5.923133827160494, 6.609081481481482, 7.600335802469137, 8.1), # 51
(8.275519561797823, 8.251826063100138, 8.141468861454047, 9.748870164609054, 8.987962350363372, 5.0, 6.213840167836683, 6.488923456790123, 9.54442938271605, 5.90246247828075, 6.603283850854222, 7.588625148605397, 8.1), # 52
(8.278554122652675, 8.222198628257889, 8.132580521262005, 9.739981687242798, 8.989460345266023, 5.0, 6.1931010086339064, 6.444483950617284, 9.535540987654322, 5.881723529949703, 6.597358124454421, 7.576774028349337, 8.1), # 53
(8.281390834312573, 8.192400000000001, 8.1236, 9.73095, 8.990859501316402, 5.0, 6.172258823529412, 6.400399999999999, 9.52654, 5.86096, 6.59130909090909, 7.5648, 8.1), # 54
(8.284029060116017, 8.162482853223594, 8.114540466392318, 9.721784979423868, 8.992159671674152, 5.0, 6.151351569434358, 6.35679012345679, 9.517438271604938, 5.84021490626429, 6.585141538845242, 7.552720621856425, 8.1), # 55
(8.286468163401498, 8.132499862825789, 8.105415089163237, 9.712496502057613, 8.993360709498928, 5.0, 6.130417203259905, 6.313772839506173, 9.508247654320988, 5.819531266575218, 6.578860256889887, 7.54055345221765, 8.1), # 56
(8.288707507507507, 8.102503703703704, 8.096237037037039, 9.703094444444446, 8.994462467950374, 5.0, 6.109493681917211, 6.271466666666668, 9.498980000000001, 5.798952098765433, 6.572470033670034, 7.528316049382716, 8.1), # 57
(8.290746455772544, 8.072547050754459, 8.087019478737998, 9.693588683127572, 8.99546480018814, 5.0, 6.088618962317438, 6.2299901234567905, 9.489647160493828, 5.778520420667582, 6.565975657812697, 7.516025971650663, 8.1), # 58
(8.292584371535098, 8.042682578875171, 8.077775582990398, 9.683989094650206, 8.996367559371876, 5.0, 6.067831001371743, 6.189461728395062, 9.480260987654322, 5.758279250114313, 6.55938191794488, 7.503700777320531, 8.1), # 59
(8.294220618133663, 8.012962962962964, 8.068518518518518, 9.674305555555556, 8.99717059866123, 5.0, 6.0471677559912855, 6.15, 9.470833333333335, 5.738271604938272, 6.552693602693603, 7.491358024691358, 8.1), # 60
(8.295654558906731, 7.983440877914953, 8.05926145404664, 9.664547942386832, 8.997873771215849, 5.0, 6.026667183087227, 6.1117234567901235, 9.461376049382716, 5.718540502972108, 6.545915500685871, 7.4790152720621865, 8.1), # 61
(8.296885557192804, 7.954168998628258, 8.050017558299041, 9.654726131687244, 8.998476930195388, 5.0, 6.006367239570725, 6.074750617283951, 9.451900987654321, 5.699128962048469, 6.539052400548697, 7.4666900777320535, 8.1), # 62
(8.297912976330368, 7.9252, 8.0408, 9.644850000000002, 8.998979928759486, 5.0, 5.986305882352941, 6.039200000000001, 9.44242, 5.68008, 6.532109090909092, 7.4544, 8.1), # 63
(8.298736179657919, 7.896586556927298, 8.0316219478738, 9.634929423868314, 8.999382620067799, 5.0, 5.966521068345034, 6.005190123456791, 9.432944938271605, 5.661436634659351, 6.5250903603940635, 7.442162597165067, 8.1), # 64
(8.29935453051395, 7.86838134430727, 8.02249657064472, 9.624974279835392, 8.999684857279973, 5.0, 5.947050754458163, 5.972839506172839, 9.423487654320988, 5.643241883859168, 6.518000997630629, 7.429995427526291, 8.1), # 65
(8.299767392236957, 7.840637037037038, 8.013437037037038, 9.614994444444445, 8.999886493555659, 5.0, 5.927932897603486, 5.942266666666668, 9.414060000000001, 5.625538765432099, 6.510845791245791, 7.417916049382717, 8.1), # 66
(8.299974128165434, 7.813406310013717, 8.004456515775034, 9.604999794238683, 8.999987382054504, 5.0, 5.909205454692165, 5.913590123456792, 9.404673827160494, 5.608370297210792, 6.5036295298665685, 7.405942021033379, 8.1), # 67
(8.29983329158466, 7.786598911456259, 7.9955247599451305, 9.594913392377887, 8.999902364237876, 4.99990720926688, 5.890812155863717, 5.88667508001829, 9.395270278920897, 5.591696353317733, 6.496228790832301, 7.394024017519794, 8.099900120027435), # 68
(8.298513365539453, 7.75939641577061, 7.98639074074074, 9.584226811594203, 8.99912854030501, 4.999173662551441, 5.872214545077291, 5.860079012345679, 9.385438271604938, 5.575045112563544, 6.487890271132376, 7.38177517868746, 8.099108796296298), # 69
(8.295908630047116, 7.731673967874684, 7.977014746227709, 9.572869699409555, 8.997599451303154, 4.9977290047248895, 5.853328107649096, 5.833561957018748, 9.375122313671698, 5.558335619570188, 6.478519109220864, 7.369138209034247, 8.097545867626888), # 70
(8.292055728514343, 7.703448134873224, 7.967400068587105, 9.560858803005905, 8.995334463003308, 4.995596646852614, 5.8341613276311906, 5.807132693187015, 9.364337768632831, 5.541568287474112, 6.468149896627089, 7.356122349770172, 8.095231910150892), # 71
(8.286991304347827, 7.674735483870967, 7.9575499999999995, 9.548210869565217, 8.99235294117647, 4.992800000000001, 5.81472268907563, 5.7808, 9.353100000000001, 5.524743529411765, 6.456817224880384, 7.342736842105264, 8.0921875), # 72
(8.280752000954257, 7.6455525819726535, 7.947467832647462, 9.534942646269458, 8.988674251593642, 4.989362475232434, 5.795020676034474, 5.754572656607225, 9.341424371284866, 5.507861758519595, 6.444555685510071, 7.328990927249535, 8.0884332133059), # 73
(8.273374461740323, 7.615915996283022, 7.937156858710562, 9.52107088030059, 8.98431776002582, 4.985307483615303, 5.775063772559778, 5.728459442158208, 9.329326245999086, 5.49092338793405, 6.431399870045485, 7.314893846413014, 8.083989626200276), # 74
(8.26489533011272, 7.5858422939068095, 7.92662037037037, 9.50661231884058, 8.97930283224401, 4.980658436213993, 5.754860462703601, 5.7024691358024695, 9.31682098765432, 5.473928830791576, 6.417384370015949, 7.300454840805718, 8.078877314814816), # 75
(8.255351249478142, 7.55534804194876, 7.915861659807956, 9.49158370907139, 8.973648834019205, 4.975438744093889, 5.734419230517997, 5.6766105166895295, 9.303923959762232, 5.4568785002286235, 6.402543776950793, 7.2856831516376666, 8.073116855281206), # 76
(8.244778863243274, 7.524449807513609, 7.904884019204388, 9.476001798174986, 8.967375131122408, 4.9696718183203785, 5.7137485600550235, 5.650892363968908, 9.290650525834478, 5.43977280938164, 6.38691268237935, 7.270588020118885, 8.06672882373114), # 77
(8.233214814814815, 7.493164157706095, 7.893690740740741, 9.459883333333334, 8.96050108932462, 4.963381069958848, 5.69285693536674, 5.625323456790124, 9.277016049382715, 5.422612171387073, 6.370525677830941, 7.255178687459391, 8.059733796296298), # 78
(8.220695747599452, 7.461507659630958, 7.88228511659808, 9.443245061728396, 8.953046074396838, 4.956589910074683, 5.671752840505201, 5.5999125743026985, 9.26303589391861, 5.405396999381371, 6.353417354834898, 7.239464394869204, 8.052152349108367), # 79
(8.207258305003878, 7.429496880392938, 7.870670438957475, 9.426103730542136, 8.945029452110063, 4.949321749733272, 5.650444759522465, 5.574668495656151, 9.248725422953818, 5.388127706500981, 6.335622304920551, 7.223454383558348, 8.04400505829904), # 80
(8.192939130434784, 7.397148387096775, 7.85885, 9.408476086956524, 8.936470588235293, 4.9416, 5.628941176470589, 5.549600000000001, 9.2341, 5.370804705882353, 6.317175119617225, 7.207157894736842, 8.0353125), # 81
(8.177774867298861, 7.364478746847206, 7.8468270919067225, 9.390378878153516, 8.927388848543533, 4.933448071940254, 5.607250575401629, 5.524715866483768, 9.219174988568815, 5.353428410661933, 6.298110390454251, 7.190584169614709, 8.026095250342937), # 82
(8.161802159002804, 7.331504526748971, 7.834605006858711, 9.371828851315083, 8.917803598805778, 4.924889376619419, 5.585381440367643, 5.500024874256973, 9.203965752171925, 5.335999233976169, 6.278462708960955, 7.17374244940197, 8.016373885459535), # 83
(8.145057648953301, 7.29824229390681, 7.822187037037037, 9.35284275362319, 8.907734204793028, 4.915947325102881, 5.563342255420687, 5.475535802469135, 9.188487654320987, 5.3185175889615115, 6.258266666666667, 7.156641975308642, 8.006168981481482), # 84
(8.127577980557048, 7.264708615425461, 7.80957647462277, 9.333437332259797, 8.897200032276286, 4.906645328456029, 5.54114150461282, 5.451257430269777, 9.172756058527662, 5.300983888754405, 6.237556855100715, 7.13929198854475, 7.995501114540467), # 85
(8.10939979722073, 7.230920058409665, 7.796776611796983, 9.313629334406873, 8.886220447026547, 4.897006797744247, 5.518787671996097, 5.4271985368084135, 9.156786328303614, 5.283398546491299, 6.216367865792428, 7.121701730320315, 7.984390860768176), # 86
(8.090559742351045, 7.1968931899641575, 7.7837907407407405, 9.293435507246377, 8.874814814814817, 4.887055144032922, 5.496289241622575, 5.403367901234568, 9.140593827160496, 5.265761975308642, 6.194734290271132, 7.103880441845354, 7.972858796296297), # 87
(8.071094459354686, 7.162644577193681, 7.7706221536351165, 9.27287259796028, 8.863002501412089, 4.876813778387441, 5.473654697544313, 5.37977430269776, 9.124193918609969, 5.248074588342881, 6.172690720066159, 7.085837364329892, 7.960925497256517), # 88
(8.051040591638339, 7.128190787202974, 7.75727414266118, 9.251957353730543, 8.850802872589366, 4.8663061118731905, 5.4508925238133665, 5.356426520347508, 9.107601966163696, 5.230336798730466, 6.150271746706835, 7.067581738983948, 7.948611539780521), # 89
(8.030434782608696, 7.093548387096774, 7.74375, 9.230706521739132, 8.838235294117649, 4.855555555555556, 5.428011204481793, 5.333333333333333, 9.090833333333334, 5.2125490196078434, 6.1275119617224885, 7.049122807017544, 7.9359375000000005), # 90
(8.00931367567245, 7.058733943979822, 7.730053017832647, 9.20913684916801, 8.825319131767932, 4.8445855204999235, 5.405019223601649, 5.3105035208047555, 9.073903383630546, 5.194711664111461, 6.104445956642448, 7.0304698096406995, 7.922923954046638), # 91
(7.9877139142362985, 7.023764024956858, 7.716186488340192, 9.187265083199142, 8.812073751311223, 4.833419417771681, 5.381925065224994, 5.287945861911295, 9.056827480566987, 5.176825145377768, 6.081108322996043, 7.011631988063439, 7.909591478052126), # 92
(7.965672141706924, 6.988655197132617, 7.702153703703704, 9.165107971014494, 8.798518518518518, 4.822080658436214, 5.358737213403881, 5.26566913580247, 9.039620987654322, 5.15888987654321, 6.0575336523126, 6.992618583495776, 7.895960648148147), # 93
(7.943225001491024, 6.953424027611842, 7.6879579561042535, 9.142682259796029, 8.784672799160816, 4.810592653558909, 5.335464152190369, 5.243682121627802, 9.022299268404208, 5.140906270744238, 6.033756536121448, 6.973438837147739, 7.882052040466393), # 94
(7.920409136995288, 6.9180870834992705, 7.673602537722909, 9.120004696725712, 8.770555959009119, 4.798978814205152, 5.312114365636515, 5.221993598536809, 9.004877686328305, 5.122874741117297, 6.009811565951917, 6.954101990229344, 7.867886231138546), # 95
(7.89726119162641, 6.882660931899643, 7.659090740740742, 9.097092028985507, 8.756187363834423, 4.787262551440329, 5.288696337794377, 5.200612345679013, 8.987371604938271, 5.104795700798839, 5.985733333333334, 6.934617283950619, 7.853483796296297), # 96
(7.873817808791078, 6.847162139917697, 7.64442585733882, 9.07396100375738, 8.741586379407732, 4.775467276329827, 5.265218552716011, 5.179547142203933, 8.969796387745772, 5.086669562925308, 5.961556429795026, 6.914993959521576, 7.838865312071332), # 97
(7.850115631895988, 6.811607274658171, 7.629611179698216, 9.050628368223297, 8.726772371500042, 4.763616399939035, 5.241689494453475, 5.158806767261089, 8.952167398262459, 5.068496740633154, 5.937315446866325, 6.895241258152239, 7.824051354595337), # 98
(7.826191304347827, 6.776012903225807, 7.614650000000001, 9.027110869565218, 8.711764705882354, 4.751733333333333, 5.218117647058825, 5.138400000000001, 8.9345, 5.050277647058824, 5.913044976076556, 6.875368421052632, 7.8090625000000005), # 99
(7.80208146955329, 6.740395592725341, 7.59954561042524, 9.00342525496511, 8.696582748325667, 4.739841487578113, 5.194511494584116, 5.118335619570188, 8.916809556470051, 5.032012695338767, 5.888779608955048, 6.855384689432774, 7.79391932441701), # 100
(7.777822770919068, 6.704771910261517, 7.584301303155008, 8.979588271604939, 8.681245864600985, 4.727964273738759, 5.17087952108141, 5.09862240512117, 8.899111431184272, 5.013702298609431, 5.86455393703113, 6.835299304502683, 7.7786424039780515), # 101
(7.753451851851853, 6.669158422939069, 7.56892037037037, 8.955616666666668, 8.665773420479303, 4.7161251028806594, 5.1472302106027605, 5.07926913580247, 8.881420987654321, 4.995346870007263, 5.840402551834131, 6.815121507472385, 7.763252314814816), # 102
(7.729005355758336, 6.633571697862738, 7.5534061042524, 8.93152718733226, 8.650184781731623, 4.704347386069197, 5.123572047200224, 5.060284590763604, 8.86375358939186, 4.976946822668712, 5.816360044893379, 6.794860539551898, 7.747769633058984), # 103
(7.704519926045208, 6.598028302137263, 7.537761796982167, 8.907336580783683, 8.634499314128943, 4.692654534369761, 5.099913514925861, 5.041677549154093, 8.846124599908551, 4.958502569730225, 5.792461007738201, 6.774525641951243, 7.732214934842251), # 104
(7.680032206119162, 6.562544802867383, 7.5219907407407405, 8.883061594202898, 8.618736383442267, 4.681069958847737, 5.076263097831727, 5.023456790123458, 8.82854938271605, 4.940014524328251, 5.768740031897927, 6.754126055880443, 7.716608796296296), # 105
(7.655578839386891, 6.527137767157839, 7.5060962277091905, 8.858718974771874, 8.602915355442589, 4.669617070568511, 5.052629279969876, 5.005631092821217, 8.811043301326016, 4.921483099599236, 5.745231708901884, 6.733671022549515, 7.700971793552812), # 106
(7.631196469255085, 6.491823762113369, 7.490081550068588, 8.83432546967257, 8.587055595900912, 4.65831928059747, 5.0290205453923695, 4.988209236396892, 8.793621719250115, 4.9029087086796315, 5.721970630279402, 6.713169783168484, 7.685324502743484), # 107
(7.606921739130435, 6.456619354838711, 7.473950000000001, 8.809897826086958, 8.571176470588235, 4.647200000000001, 5.0054453781512604, 4.9712000000000005, 8.7763, 4.884291764705883, 5.698991387559809, 6.69263157894737, 7.669687500000001), # 108
(7.582791292419635, 6.421541112438604, 7.4577048696845, 8.785452791196994, 8.55529734527556, 4.636282639841488, 4.98191226229861, 4.954612162780065, 8.759093507087334, 4.865632680814438, 5.676328572272432, 6.67206565109619, 7.654081361454047), # 109
(7.558841772529373, 6.38660560201779, 7.441349451303157, 8.761007112184648, 8.539437585733884, 4.625590611187319, 4.9584296818864715, 4.938454503886603, 8.742017604023777, 4.846931870141747, 5.654016775946601, 6.651481240824971, 7.638526663237312), # 110
(7.535109822866345, 6.351829390681004, 7.424887037037038, 8.736577536231884, 8.523616557734206, 4.615147325102881, 4.935006120966905, 4.922735802469136, 8.725087654320989, 4.828189745824256, 5.632090590111643, 6.630887589343731, 7.623043981481482), # 111
(7.51163208683724, 6.317229045532987, 7.408320919067217, 8.712180810520666, 8.507853627047528, 4.6049761926535595, 4.911650063591967, 4.907464837677184, 8.708319021490626, 4.809406720998413, 5.610584606296888, 6.6102939378624885, 7.607653892318244), # 112
(7.488403378962436, 6.282878895028762, 7.391694262601655, 8.687867105993632, 8.492140544138964, 4.595095815371611, 4.888420770925416, 4.892682055024485, 8.691770249006897, 4.790643789290184, 5.589539124922293, 6.589754349203543, 7.592355120674577), # 113
(7.465184718320052, 6.249117746820429, 7.375236540017295, 8.663831537021869, 8.476314683653062, 4.585483686823921, 4.865614566728464, 4.878569007604096, 8.675695228570449, 4.772252134330226, 5.568995469690558, 6.56952973769038, 7.577020331328028), # 114
(7.441907922403196, 6.215957758946438, 7.358957546165854, 8.640067604145424, 8.460326142310882, 4.576114809999011, 4.84324772015325, 4.865122123422967, 8.660099982935032, 4.754260262390462, 5.548923609141675, 6.549630066047081, 7.561605305328301), # 115
(7.418543898590108, 6.183350625033362, 7.342825751987099, 8.616532920213123, 8.444150821107023, 4.566967101829678, 4.821283854022315, 4.852304250319195, 8.644945071382265, 4.736634686759638, 5.529284745017185, 6.530018557989877, 7.546085807804713), # 116
(7.395063554259018, 6.151248038707777, 7.326809628420789, 8.593185098073794, 8.427764621036088, 4.558018479248712, 4.799686591158202, 4.840078236130868, 8.630191053193762, 4.719341920726503, 5.510040079058626, 6.5106584372350005, 7.53043760388658), # 117
(7.371437796788169, 6.119601693596259, 7.310877646406694, 8.569981750576266, 8.411143443092675, 4.549246859188911, 4.7784195543834524, 4.828406928696078, 8.615798487651148, 4.7023484775798075, 5.49115081300754, 6.49151292749868, 7.51463645870322), # 118
(7.347637533555794, 6.088363283325384, 7.294998276884579, 8.546880490569364, 8.394263188271378, 4.540630158583066, 4.757446366520605, 4.817253175852916, 8.601727934036035, 4.685620870608298, 5.4725781486054625, 6.472545252497148, 7.498658137383946), # 119
(7.323633671940129, 6.057484501521727, 7.27913999079421, 8.523838930901915, 8.377099757566798, 4.532146294363972, 4.736730650392203, 4.806579825439474, 8.587939951630046, 4.669125613100724, 5.454283287593933, 6.453718635946638, 7.482478405058078), # 120
(7.299397119319415, 6.026917041811863, 7.26327125907535, 8.500814684422748, 8.359629051973535, 4.523773183464424, 4.716236028820784, 4.796349725293846, 8.574395099714799, 4.652829218345837, 5.436227431714493, 6.434996301563378, 7.466073026854929), # 121
(7.274898783071883, 5.996612597822369, 7.247360552667769, 8.477765363980685, 8.341826972486187, 4.515488742817215, 4.695926124628894, 4.786525723254119, 8.561053937571911, 4.636698199632382, 5.4183717827086815, 6.416341473063601, 7.4494177679038165), # 122
(7.250109570575775, 5.9665228631798195, 7.231376342511229, 8.454648582424555, 8.323669420099353, 4.50727088935514, 4.675764560639071, 4.7770706671583865, 8.547877024483004, 4.62069907024911, 5.400677542318036, 6.397717374163538, 7.432488393334058), # 123
(7.225000389209324, 5.93659953151079, 7.215287099545496, 8.43142195260319, 8.30513229580763, 4.499097540010991, 4.655714959673856, 4.767947404844741, 8.534824919729692, 4.604798343484769, 5.383105912284096, 6.3790872285794205, 7.4152606682749695), # 124
(7.199542146350767, 5.9067942964418565, 7.199061294710339, 8.408043087365408, 8.286191500605618, 4.490946611717565, 4.635740944555791, 4.759118784151273, 8.521858182593595, 4.588962532628107, 5.3656180943484015, 6.360414260027479, 7.397710357855863), # 125
(7.1737057493783425, 5.877058851599596, 7.182667398945519, 8.384469599560044, 8.266822935487914, 4.482796021407654, 4.615806138107416, 4.750547652916074, 8.508937372356334, 4.573158150967874, 5.348175290252491, 6.341661692223948, 7.379813227206063), # 126
(7.147462105670289, 5.84734489061058, 7.166073883190804, 8.36065910203592, 8.247002501449119, 4.474623686014052, 4.595874163151275, 4.742196858977237, 8.496023048299525, 4.557351711792819, 5.3307387017379035, 6.322792748885053, 7.361545041454879), # 127
(7.120782122604837, 5.817604107101388, 7.14924921838596, 8.336569207641865, 8.226706099483833, 4.466407522469555, 4.575908642509906, 4.73402925017285, 8.483075769704788, 4.5415097283916905, 5.3132695305461795, 6.303770653727031, 7.34288156573163), # 128
(7.093636707560226, 5.787788194698593, 7.132161875470752, 8.312157529226706, 8.20590963058665, 4.458125447706956, 4.555873199005851, 4.726007674341008, 8.47005609585374, 4.5255987140532365, 5.2957289784188575, 6.284558630466109, 7.323798565165631), # 129
(7.065996767914694, 5.757848847028773, 7.1147803253849435, 8.28738167963927, 8.18458899575217, 4.449755378659047, 4.53573145546165, 4.7180949793198, 8.456924586028, 4.509585182066206, 5.278078247097476, 6.2651199028185225, 7.3042718048861985), # 130
(7.037833211046475, 5.727737757718502, 7.097073039068305, 8.262199271728381, 8.162720095974995, 4.441275232258625, 4.515447034699847, 4.71025401294732, 8.443641799509189, 4.493435645719348, 5.260278538323575, 6.2454176945004996, 7.2842770500226495), # 131
(7.009116944333808, 5.697406620394355, 7.079008487460597, 8.23656791834287, 8.140278832249724, 4.432662925438482, 4.49498355954298, 4.7024476230616585, 8.430168295578923, 4.4771166183014115, 5.2422910538386915, 6.225415229228274, 7.263790065704301), # 132
(6.979818875154931, 5.666807128682908, 7.060555141501587, 8.210445232331562, 8.11724110557095, 4.423896375131413, 4.474304652813592, 4.694638657500906, 8.416464633518821, 4.460594613101146, 5.224076995384369, 6.205075730718074, 7.242786617060469), # 133
(6.949909910888076, 5.635890976210739, 7.041681472131043, 8.183788826543283, 8.093582816933274, 4.414953498270212, 4.453373937334223, 4.686789964103155, 8.402491372610504, 4.443836143407299, 5.205597564702143, 6.184362422686133, 7.221242469220467), # 134
(6.919360958911483, 5.604609856604419, 7.022355950288727, 8.156556313826863, 8.069279867331296, 4.405812211787674, 4.432155035927415, 4.678864390706496, 8.388209072135584, 4.426807722508621, 5.186813963533554, 6.163238528848682, 7.199133387313616), # 135
(6.888142926603388, 5.572915463490528, 7.002547046914407, 8.128705307031124, 8.044308157759614, 4.396450432616592, 4.410611571415708, 4.670824785149022, 8.373578291375685, 4.409475863693858, 5.167687393620142, 6.1416672729219535, 7.176435136469229), # 136
(6.856226721342027, 5.540759490495638, 6.982223232947849, 8.100193419004901, 8.018643589212827, 4.386846077689759, 4.388707166621645, 4.662633995268823, 8.358559589612426, 4.391807080251762, 5.1481790567034444, 6.119611878622176, 7.153123481816621), # 137
(6.823583250505639, 5.508093631246327, 6.961352979328814, 8.070978262597011, 7.992262062685535, 4.376977063939971, 4.366405444367763, 4.654254868903992, 8.343113526127425, 4.373767885471078, 5.128250154525002, 6.097035569665582, 7.129174188485113), # 138
(6.790183421472455, 5.4748695793691695, 6.939904756997072, 8.041017450656287, 7.965139479172333, 4.366821308300021, 4.343670027476608, 4.64565025389262, 8.327200660202298, 4.355324792640558, 5.107861888826353, 6.073901569768405, 7.104563021604015), # 139
(6.755998141620719, 5.44103902849074, 6.91784703689239, 8.010268596031556, 7.937251739667824, 4.356356727702703, 4.320464538770717, 4.636782998072797, 8.310781551118666, 4.336444315048949, 5.086975461349035, 6.050173102646873, 7.079265746302652), # 140
(6.720998318328665, 5.406553672237617, 6.895148289954529, 7.978689311571642, 7.908574745166603, 4.345561239080812, 4.296752601072636, 4.6276159492826165, 8.293816758158144, 4.317092965985001, 5.065552073834591, 6.02581339201722, 7.053258127710331), # 141
(6.685154858974525, 5.371365204236373, 6.871776987123257, 7.946237210125377, 7.87908439666327, 4.334412759367142, 4.272497837204901, 4.6181119553601695, 8.276266840602354, 4.2972372587374625, 5.043552928024558, 6.000785661595676, 7.026515930956373), # 142
(6.64843867093654, 5.335425318113585, 6.8477015993383406, 7.91286990454158, 7.848756595152423, 4.322889205494485, 4.247663869990055, 4.608233864143545, 8.258092357732918, 4.276843706595082, 5.020939225660475, 5.975053135098472, 6.999014921170094), # 143
(6.610820661592948, 5.298685707495829, 6.822890597539542, 7.878545007669086, 7.817567241628663, 4.310968494395637, 4.222214322250639, 4.597944523470839, 8.239253868831447, 4.255878822846608, 4.997672168483881, 5.948579036241839, 6.970730863480812), # 144
(6.572271738321982, 5.26109806600968, 6.797312452666631, 7.843220132356716, 7.785492237086586, 4.298628543003392, 4.196112816809195, 4.587206781180141, 8.219711933179564, 4.23430912078079, 4.973712958236316, 5.921326588742011, 6.94163952301784), # 145
(6.5327628085018805, 5.2226140872817135, 6.770935635659374, 7.806852891453301, 7.7525074825207945, 4.285847268250545, 4.169322976488264, 4.575983485109542, 8.199427110058885, 4.212101113686376, 4.949022796659319, 5.893259016315216, 6.911716664910495), # 146
(6.49226477951088, 5.1831854649385045, 6.743728617457528, 7.769400897807664, 7.718588878925882, 4.272602587069886, 4.141808424110385, 4.564237483097132, 8.178359958751033, 4.189221314852117, 4.923562885494429, 5.864339542677689, 6.8809380542880945), # 147
(6.450748558727217, 5.142763892606631, 6.715659869000866, 7.730821764268637, 7.683712327296449, 4.258872416394214, 4.113532782498101, 4.551931622981006, 8.156471038537623, 4.1656362375667575, 4.897294426483186, 5.8345313915456565, 6.8492794562799535), # 148
(6.40818505352913, 5.101301063912665, 6.686697861229155, 7.691073103685042, 7.647853728627097, 4.24463467315632, 4.084459674473953, 4.539028752599253, 8.13372090870027, 4.1413123951190505, 4.870178621367128, 5.803797786635354, 6.81671663601539), # 149
(6.364545171294852, 5.058748672483183, 6.656811065082156, 7.65011252890571, 7.610988983912421, 4.229867274288999, 4.054552722860481, 4.525491719789965, 8.110070128520602, 4.116216300797741, 4.8421766718877945, 5.772101951663011, 6.783225358623717), # 150
(6.31979981940262, 5.015058411944763, 6.625967951499634, 7.607897652779464, 7.573093994147022, 4.214548136725044, 4.023775550480226, 4.511283372391235, 8.085479257280232, 4.090314467891583, 4.813249779786724, 5.739407110344858, 6.748781389234255), # 151
(6.273919905230675, 4.970181975923978, 6.594136991421362, 7.5643860881551355, 7.534144660325495, 4.198655177397251, 3.992091780155732, 4.496366558241153, 8.059908854260776, 4.06357340968932, 4.7833591468054575, 5.705676486397127, 6.713360492976318), # 152
(6.226876336157249, 4.924071058047406, 6.561286655787095, 7.519535447881546, 7.4941168834424445, 4.182166313238413, 3.9594650347095355, 4.48070412517781, 8.03331947874386, 4.035959639479703, 4.752465974685533, 5.670873303536052, 6.676938434979222), # 153
(6.178640019560583, 4.87667735194162, 6.527385415536607, 7.473303344807528, 7.452986564492464, 4.165059461181324, 3.9258589369641825, 4.464258921039298, 8.005671690011093, 4.0074396705514825, 4.72053146516849, 5.63496078547786, 6.639490980372286), # 154
(6.129181862818909, 4.827952551233196, 6.492401741609661, 7.425647391781903, 7.410729604470157, 4.147312538158777, 3.891237109742209, 4.446993793663709, 7.976926047344103, 3.9779800161934036, 4.687516819995866, 5.597902155938786, 6.600993894284821), # 155
(6.078472773310465, 4.7778483495487105, 6.456304104946021, 7.3765252016535, 7.367321904370119, 4.128903461103569, 3.85556317586616, 4.428871590889135, 7.947043110024501, 3.9475471896942183, 4.6533832409092035, 5.559660638635059, 6.561422941846148), # 156
(6.02648365841349, 4.726316440514739, 6.419060976485454, 7.32589438727115, 7.322739365186948, 4.109810146948491, 3.8188007581585754, 4.409855160553666, 7.915983437333911, 3.9161077043426733, 4.618091929650039, 5.52019945728291, 6.520753888185581), # 157
(5.971744757124192, 4.672362496617807, 6.378873563121885, 7.271815665320995, 7.274944884696798, 4.088819581053688, 3.780085376742286, 4.388637561879498, 7.881329673279279, 3.882692733032915, 4.580476602031154, 5.478079651355472, 6.477188687532276), # 158
(5.9058294135827225, 4.610452255679582, 6.32539025472239, 7.203181727030763, 7.212153047825303, 4.058951718405683, 3.734570210708573, 4.357770826211506, 7.829141808977716, 3.8418247952789963, 4.533933548495195, 5.425090018946487, 6.420342117536156), # 159
(5.827897675923448, 4.540077382832571, 6.257536766364711, 7.118862008327088, 7.133136105077437, 4.019473036838147, 3.6817949987070273, 4.316479351621878, 7.757940181782921, 3.792964521490315, 4.477807606887632, 5.360401559110278, 6.349136487114865), # 160
(5.738577643668768, 4.461696694464375, 6.1760375775282474, 7.019658003005382, 7.038714499425691, 3.970861793256251, 3.622145156805501, 4.265280426487824, 7.668663813599214, 3.7365265545367503, 4.412593323679766, 5.284613975126057, 6.264299235855278), # 161
(5.638497416341085, 4.375769006962591, 6.0816171676923965, 6.9063712048610615, 6.929708673842564, 3.9135962445651646, 3.5560061010718473, 4.204691339186562, 7.56225172633091, 3.6729255372881853, 4.338785245342897, 5.198326970273035, 6.166557803344267), # 162
(5.528285093462799, 4.2827531367148195, 5.975000016336562, 6.779803107689547, 6.806939071300551, 3.848154647670058, 3.4837632475739206, 4.1352293780953, 7.439642941882325, 3.6025761126145, 4.2568779183483265, 5.102140247830427, 6.0566396291687035), # 163
(5.408568774556308, 4.183107900108657, 5.856910602940141, 6.640755205286254, 6.6712261347721515, 3.7750152594761035, 3.405802012379573, 4.0574118315912555, 7.301776482157779, 3.525892923385575, 4.167365889167357, 4.996653511077443, 5.935272152915463), # 164
(5.279976559144014, 4.077292113531706, 5.728073406982535, 6.490028991446602, 6.523390307229859, 3.6946563368884693, 3.3225078115566578, 3.971755988051637, 7.149591369061584, 3.4432906124712908, 4.0707437042712895, 4.882466463293296, 5.803182814171416), # 165
(5.143136546748318, 3.9657645933715635, 5.589212907943143, 6.328425959966001, 6.3642520316461715, 3.607556136812327, 3.234266061173029, 3.878779135853662, 6.984026624498059, 3.35518382274153, 3.9675059101314236, 4.760178807757201, 5.661099052523436), # 166
(4.998676836891619, 3.8489841560158298, 5.441053585301364, 6.156747604639875, 6.194631750993584, 3.514192916152847, 3.14146217729654, 3.7789985633745413, 6.80602127037152, 3.2619871970661714, 3.858147053219062, 4.630390247748367, 5.509748307558397), # 167
(4.847225529096317, 3.727409617852103, 5.284319918536599, 5.975795419263637, 6.015349908244594, 3.415044931815199, 3.0444815759950434, 3.672931558991488, 6.616514328586284, 3.1641153783150977, 3.743161680005505, 4.493700486546009, 5.34985801886317), # 168
(4.689410722884812, 3.6014997952679835, 5.119736387128247, 5.786370897632707, 5.827226946371696, 3.310590440704556, 2.9437096733363934, 3.561095411081716, 6.416444821046671, 3.0619830093581895, 3.623044336962055, 4.350709227429338, 5.182155626024628), # 169
(4.525860517779507, 3.47171350465107, 4.948027470555708, 5.589275533542496, 5.631083308347387, 3.2013076997260854, 2.8395318853884426, 3.444007408022438, 6.206751769656991, 2.9560047330653263, 3.498289570560013, 4.202016173677567, 5.007368568629644), # 170
(4.3572030133028, 3.3385095623889605, 4.7699176482983825, 5.385310820788429, 5.427739437144165, 3.087674965784959, 2.7323336282190445, 3.3221848381908665, 5.9883741963215655, 2.846595192306391, 3.3693919272706787, 4.048221028569909, 4.826224286265092), # 171
(4.184066308977092, 3.2023467848692557, 4.586131399835669, 5.175278253165917, 5.218015775734523, 2.970170495786347, 2.6225003178960526, 3.1961449899642167, 5.762251122944709, 2.734169029951264, 3.2368459535653553, 3.889923495385577, 4.639450218517843), # 172
(4.007078504324784, 3.063683988479554, 4.39739320464697, 4.959979324470381, 5.002732767090961, 2.84927254663542, 2.51041737048732, 3.066405151719699, 5.529321571430739, 2.6191408888698255, 3.1011461959153426, 3.72772327740378, 4.44777380497477), # 173
(3.8268676988682753, 2.9229799896074544, 4.204427542211682, 4.740215528497233, 4.782710854185973, 2.725459375237348, 2.3964702020607005, 2.9334826118345285, 5.290524563683971, 2.5019254119319574, 2.9627872007919422, 3.5622200779037345, 4.251922485222747), # 174
(3.6440619921299646, 2.7806936046405557, 4.007958892009206, 4.516788359041894, 4.558770479992055, 2.599209238497303, 2.2810442286840464, 2.797894658685917, 5.046799121608725, 2.3829372420075394, 2.8222635146664556, 3.3940136001646515, 4.052623698848646), # 175
(3.459289483632255, 2.6372836499664585, 3.8087117335189427, 4.29049930989978, 4.331732087481704, 2.4710003933204536, 2.164524866425212, 2.6601585806510792, 4.799084267109314, 2.2625910219664536, 2.680069684010184, 3.2237035474657434, 3.8506048854393393), # 176
(3.273178272897546, 2.493208941972761, 3.607410546220291, 4.062149874866306, 4.102416119627419, 2.3413110966119706, 2.0472975313520503, 2.5207916661072263, 4.548319022090056, 2.1413013946785795, 2.536700255294429, 3.051889623086223, 3.6465934845817), # 177
(3.0863564594482376, 2.348928297047063, 3.404779809592651, 3.832541547736893, 3.871643019401691, 2.210619605277026, 1.929747639532414, 2.3803112034315723, 4.295442408455268, 2.0194830030138, 2.39264977499049, 2.879171530305302, 3.4413169358626017), # 178
(0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0), # 179
)
passenger_arriving_acc = (
(2, 7, 3, 3, 0, 1, 1, 1, 0, 0, 1, 1, 0, 9, 0, 3, 2, 3, 1, 2, 1, 1, 2, 0, 0, 0), # 0
(8, 11, 6, 5, 1, 3, 3, 3, 0, 0, 2, 1, 0, 16, 5, 6, 3, 5, 4, 3, 3, 2, 4, 0, 1, 0), # 1
(9, 15, 8, 9, 6, 6, 4, 4, 0, 1, 2, 1, 0, 25, 8, 8, 6, 8, 4, 4, 4, 2, 7, 0, 1, 0), # 2
(11, 19, 10, 12, 10, 6, 6, 5, 0, 3, 3, 4, 0, 28, 13, 10, 10, 14, 6, 8, 5, 2, 8, 0, 1, 0), # 3
(21, 22, 12, 20, 16, 7, 8, 6, 4, 3, 3, 5, 0, 32, 19, 15, 16, 21, 7, 10, 7, 4, 12, 1, 2, 0), # 4
(27, 31, 15, 24, 20, 7, 10, 10, 4, 6, 4, 5, 0, 42, 23, 17, 18, 25, 10, 10, 8, 6, 14, 2, 3, 0), # 5
(31, 35, 21, 33, 26, 7, 13, 12, 6, 9, 4, 5, 0, 45, 26, 23, 23, 27, 12, 13, 10, 9, 14, 4, 3, 0), # 6
(36, 40, 25, 39, 34, 8, 17, 13, 7, 11, 6, 6, 0, 52, 28, 27, 26, 31, 16, 14, 12, 11, 14, 5, 3, 0), # 7
(42, 46, 31, 47, 40, 9, 18, 17, 8, 12, 7, 6, 0, 60, 37, 31, 28, 37, 18, 15, 14, 12, 19, 5, 3, 0), # 8
(50, 53, 34, 52, 48, 12, 18, 17, 9, 12, 8, 7, 0, 68, 44, 37, 32, 41, 19, 16, 14, 15, 22, 6, 4, 0), # 9
(60, 58, 40, 59, 52, 14, 24, 22, 11, 13, 8, 7, 0, 76, 48, 46, 39, 45, 21, 18, 15, 15, 24, 9, 4, 0), # 10
(63, 65, 46, 66, 59, 17, 25, 26, 15, 15, 10, 7, 0, 80, 56, 51, 43, 50, 22, 18, 16, 16, 24, 10, 4, 0), # 11
(73, 73, 51, 70, 65, 17, 26, 33, 16, 21, 11, 7, 0, 87, 58, 56, 51, 58, 22, 18, 18, 19, 28, 12, 4, 0), # 12
(85, 82, 58, 75, 71, 20, 30, 37, 22, 23, 13, 8, 0, 94, 61, 59, 56, 63, 25, 21, 22, 20, 31, 12, 4, 0), # 13
(93, 88, 62, 78, 80, 25, 34, 37, 24, 24, 14, 9, 0, 100, 69, 61, 61, 66, 29, 24, 24, 26, 32, 12, 5, 0), # 14
(104, 95, 70, 83, 86, 27, 35, 43, 25, 25, 15, 11, 0, 106, 74, 66, 64, 71, 32, 28, 27, 30, 34, 12, 6, 0), # 15
(112, 105, 84, 88, 93, 31, 38, 46, 28, 25, 15, 11, 0, 116, 79, 77, 72, 76, 37, 31, 31, 31, 36, 13, 6, 0), # 16
(124, 110, 88, 97, 103, 32, 42, 47, 32, 25, 18, 12, 0, 128, 85, 83, 79, 77, 42, 35, 32, 33, 37, 16, 6, 0), # 17
(127, 117, 96, 100, 111, 38, 47, 50, 34, 25, 20, 13, 0, 131, 88, 88, 83, 86, 45, 36, 35, 35, 40, 16, 6, 0), # 18
(134, 127, 101, 108, 118, 41, 49, 56, 40, 25, 22, 13, 0, 139, 95, 93, 88, 95, 47, 39, 37, 36, 44, 18, 8, 0), # 19
(139, 132, 107, 112, 121, 42, 51, 59, 42, 26, 23, 14, 0, 150, 100, 96, 95, 101, 53, 42, 40, 39, 46, 18, 8, 0), # 20
(142, 144, 109, 117, 126, 45, 57, 59, 48, 26, 24, 14, 0, 156, 105, 102, 96, 106, 57, 44, 41, 40, 48, 18, 9, 0), # 21
(146, 149, 118, 119, 129, 48, 58, 61, 52, 28, 25, 16, 0, 170, 112, 108, 103, 116, 65, 46, 43, 44, 50, 19, 9, 0), # 22
(150, 159, 126, 133, 140, 50, 59, 63, 54, 30, 27, 17, 0, 178, 120, 120, 108, 121, 71, 48, 47, 47, 54, 21, 9, 0), # 23
(163, 167, 134, 142, 146, 51, 62, 66, 56, 32, 28, 19, 0, 185, 125, 125, 113, 130, 74, 53, 49, 51, 54, 22, 11, 0), # 24
(169, 175, 139, 148, 151, 53, 63, 67, 60, 33, 31, 19, 0, 190, 132, 128, 123, 137, 79, 58, 50, 55, 55, 24, 11, 0), # 25
(178, 181, 142, 157, 158, 55, 65, 71, 65, 38, 31, 21, 0, 198, 144, 134, 133, 139, 83, 60, 55, 55, 56, 24, 12, 0), # 26
(186, 185, 157, 163, 162, 60, 65, 71, 67, 41, 33, 21, 0, 206, 151, 139, 138, 140, 85, 65, 56, 57, 58, 27, 12, 0), # 27
(193, 198, 163, 170, 164, 63, 69, 75, 69, 41, 35, 21, 0, 215, 161, 142, 142, 145, 91, 67, 58, 58, 60, 30, 13, 0), # 28
(197, 206, 172, 177, 168, 64, 75, 77, 74, 43, 35, 24, 0, 219, 167, 149, 147, 153, 97, 71, 61, 64, 63, 30, 14, 0), # 29
(203, 211, 177, 183, 170, 69, 78, 80, 77, 44, 35, 24, 0, 231, 171, 151, 152, 162, 98, 74, 64, 69, 67, 32, 14, 0), # 30
(212, 218, 185, 190, 178, 70, 84, 89, 81, 45, 35, 24, 0, 238, 178, 158, 155, 169, 103, 77, 64, 72, 71, 34, 16, 0), # 31
(220, 229, 195, 198, 184, 76, 87, 92, 85, 47, 38, 24, 0, 250, 180, 165, 161, 180, 105, 80, 64, 74, 78, 34, 17, 0), # 32
(230, 239, 204, 202, 189, 79, 91, 93, 88, 49, 39, 25, 0, 261, 186, 173, 166, 185, 109, 84, 66, 75, 81, 34, 18, 0), # 33
(238, 247, 215, 207, 195, 85, 96, 94, 93, 52, 41, 26, 0, 269, 191, 179, 174, 192, 115, 89, 68, 82, 83, 34, 19, 0), # 34
(244, 251, 223, 214, 201, 86, 100, 98, 97, 55, 42, 27, 0, 277, 199, 184, 180, 199, 117, 92, 72, 86, 85, 34, 20, 0), # 35
(253, 264, 236, 218, 206, 89, 105, 100, 99, 55, 45, 28, 0, 289, 210, 187, 182, 200, 119, 100, 72, 86, 87, 37, 22, 0), # 36
(271, 282, 242, 224, 211, 91, 109, 102, 103, 57, 46, 29, 0, 298, 215, 191, 184, 210, 124, 100, 76, 87, 89, 39, 24, 0), # 37
(282, 294, 246, 231, 218, 94, 111, 103, 107, 58, 46, 30, 0, 305, 221, 197, 186, 215, 131, 103, 80, 92, 92, 39, 25, 0), # 38
(285, 297, 253, 236, 220, 97, 114, 108, 109, 61, 46, 32, 0, 312, 226, 201, 188, 227, 132, 106, 81, 96, 93, 39, 26, 0), # 39
(295, 304, 257, 243, 230, 101, 114, 112, 114, 63, 47, 33, 0, 315, 238, 207, 191, 233, 136, 109, 84, 101, 94, 40, 27, 0), # 40
(304, 308, 264, 250, 235, 106, 118, 112, 118, 64, 47, 34, 0, 322, 247, 213, 197, 246, 142, 112, 85, 105, 95, 42, 27, 0), # 41
(316, 316, 270, 255, 238, 109, 119, 115, 122, 69, 48, 34, 0, 327, 252, 216, 200, 254, 147, 117, 85, 107, 97, 44, 27, 0), # 42
(321, 323, 283, 264, 244, 110, 122, 119, 126, 70, 48, 35, 0, 336, 261, 221, 206, 262, 151, 118, 86, 111, 99, 45, 28, 0), # 43
(335, 329, 294, 274, 249, 113, 122, 120, 131, 71, 49, 35, 0, 345, 268, 223, 212, 267, 158, 119, 90, 117, 100, 45, 28, 0), # 44
(343, 339, 302, 286, 256, 116, 123, 122, 133, 74, 51, 35, 0, 356, 278, 230, 215, 276, 164, 121, 92, 118, 102, 45, 28, 0), # 45
(351, 344, 313, 292, 258, 119, 123, 125, 138, 75, 51, 35, 0, 368, 286, 235, 219, 287, 165, 122, 93, 120, 104, 46, 31, 0), # 46
(361, 356, 319, 299, 263, 122, 127, 128, 142, 77, 51, 35, 0, 374, 295, 239, 227, 294, 166, 125, 94, 125, 105, 47, 31, 0), # 47
(372, 361, 331, 307, 268, 126, 132, 129, 143, 77, 51, 37, 0, 385, 300, 246, 228, 303, 169, 130, 96, 131, 111, 49, 31, 0), # 48
(380, 373, 340, 314, 276, 130, 132, 133, 146, 79, 54, 41, 0, 397, 306, 250, 235, 304, 175, 134, 99, 139, 113, 51, 32, 0), # 49
(390, 378, 344, 319, 281, 133, 137, 134, 151, 79, 57, 43, 0, 399, 312, 258, 239, 314, 177, 137, 104, 142, 118, 52, 33, 0), # 50
(403, 389, 351, 323, 286, 133, 142, 138, 156, 80, 58, 43, 0, 404, 318, 263, 241, 319, 180, 143, 106, 144, 120, 53, 36, 0), # 51
(412, 395, 353, 333, 286, 135, 145, 138, 161, 81, 60, 44, 0, 410, 323, 268, 245, 332, 183, 148, 108, 146, 123, 55, 37, 0), # 52
(414, 401, 366, 340, 296, 138, 147, 142, 164, 83, 62, 45, 0, 419, 337, 274, 248, 342, 187, 149, 108, 149, 126, 55, 37, 0), # 53
(420, 411, 374, 344, 301, 138, 149, 144, 165, 83, 64, 46, 0, 425, 348, 283, 253, 349, 189, 151, 108, 154, 127, 56, 38, 0), # 54
(429, 417, 381, 348, 313, 139, 150, 147, 173, 84, 65, 47, 0, 433, 360, 288, 254, 356, 190, 154, 108, 156, 129, 56, 39, 0), # 55
(440, 425, 393, 362, 318, 141, 152, 149, 176, 87, 65, 48, 0, 440, 371, 296, 260, 358, 194, 161, 109, 158, 134, 56, 40, 0), # 56
(446, 432, 397, 373, 324, 142, 158, 150, 180, 87, 65, 50, 0, 448, 379, 300, 267, 365, 199, 163, 110, 161, 136, 57, 40, 0), # 57
(452, 436, 400, 382, 334, 143, 166, 151, 183, 87, 66, 51, 0, 465, 387, 305, 271, 370, 203, 163, 116, 163, 139, 58, 40, 0), # 58
(461, 446, 406, 390, 338, 146, 168, 155, 189, 89, 67, 51, 0, 468, 397, 309, 277, 375, 204, 167, 118, 164, 142, 59, 40, 0), # 59
(474, 451, 409, 396, 342, 151, 171, 155, 193, 90, 68, 52, 0, 475, 406, 313, 280, 383, 208, 168, 121, 166, 143, 60, 40, 0), # 60
(475, 454, 412, 402, 348, 154, 173, 157, 196, 90, 70, 53, 0, 482, 410, 320, 283, 392, 217, 172, 122, 170, 144, 61, 40, 0), # 61
(487, 459, 421, 408, 351, 160, 175, 159, 199, 92, 72, 53, 0, 493, 413, 326, 286, 396, 223, 176, 126, 172, 148, 63, 40, 0), # 62
(497, 470, 427, 413, 358, 161, 177, 163, 202, 94, 72, 53, 0, 501, 419, 329, 289, 401, 223, 180, 128, 174, 152, 64, 40, 0), # 63
(505, 475, 434, 420, 366, 164, 180, 165, 206, 94, 75, 54, 0, 507, 427, 330, 292, 411, 228, 182, 132, 177, 154, 65, 40, 0), # 64
(510, 480, 440, 425, 368, 165, 183, 168, 209, 95, 76, 54, 0, 514, 431, 335, 297, 413, 228, 186, 134, 179, 158, 66, 40, 0), # 65
(521, 491, 446, 433, 373, 166, 185, 172, 214, 97, 76, 54, 0, 523, 438, 343, 302, 418, 231, 191, 137, 180, 161, 68, 41, 0), # 66
(532, 497, 454, 440, 377, 168, 187, 173, 219, 98, 79, 54, 0, 533, 446, 349, 309, 429, 237, 194, 139, 182, 162, 71, 41, 0), # 67
(543, 504, 464, 445, 379, 172, 189, 174, 221, 99, 80, 55, 0, 540, 452, 356, 316, 437, 240, 196, 143, 184, 163, 73, 41, 0), # 68
(552, 513, 473, 448, 383, 173, 191, 176, 223, 101, 80, 55, 0, 547, 460, 358, 318, 445, 241, 199, 145, 187, 165, 74, 42, 0), # 69
(562, 520, 482, 452, 390, 173, 195, 178, 224, 102, 80, 55, 0, 560, 468, 364, 325, 450, 244, 202, 147, 190, 169, 75, 42, 0), # 70
(569, 523, 490, 459, 395, 175, 198, 180, 229, 102, 81, 55, 0, 567, 473, 377, 326, 458, 246, 205, 149, 192, 171, 75, 43, 0), # 71
(579, 530, 504, 463, 403, 179, 199, 181, 232, 102, 81, 55, 0, 571, 481, 384, 331, 465, 255, 210, 150, 198, 174, 76, 44, 0), # 72
(585, 536, 512, 470, 409, 179, 202, 185, 239, 104, 81, 56, 0, 577, 486, 388, 334, 467, 257, 212, 153, 200, 175, 77, 44, 0), # 73
(586, 544, 517, 477, 416, 181, 206, 189, 243, 108, 81, 58, 0, 582, 489, 392, 334, 471, 262, 215, 156, 204, 181, 78, 45, 0), # 74
(594, 548, 523, 480, 421, 189, 208, 189, 247, 109, 82, 58, 0, 594, 494, 397, 338, 478, 265, 218, 159, 206, 184, 79, 47, 0), # 75
(608, 553, 529, 484, 434, 194, 208, 193, 249, 109, 84, 58, 0, 602, 503, 400, 342, 484, 270, 223, 160, 207, 189, 82, 47, 0), # 76
(620, 557, 533, 489, 442, 196, 211, 194, 253, 113, 86, 59, 0, 610, 507, 405, 347, 490, 271, 223, 163, 209, 191, 82, 48, 0), # 77
(632, 564, 542, 494, 450, 197, 215, 194, 253, 117, 89, 60, 0, 618, 513, 410, 348, 495, 274, 227, 165, 212, 193, 84, 49, 0), # 78
(636, 571, 554, 502, 459, 200, 217, 196, 256, 119, 90, 63, 0, 626, 516, 414, 350, 500, 278, 231, 166, 214, 196, 85, 49, 0), # 79
(647, 577, 557, 511, 466, 201, 223, 197, 258, 121, 92, 63, 0, 632, 522, 418, 353, 504, 286, 232, 168, 216, 197, 86, 49, 0), # 80
(655, 581, 566, 517, 473, 204, 225, 200, 262, 122, 92, 63, 0, 643, 525, 426, 357, 512, 291, 234, 170, 220, 198, 87, 50, 0), # 81
(664, 589, 577, 518, 479, 205, 227, 204, 264, 122, 93, 64, 0, 650, 530, 431, 361, 519, 296, 239, 170, 222, 198, 89, 50, 0), # 82
(675, 596, 580, 529, 487, 206, 229, 206, 265, 122, 94, 64, 0, 654, 538, 435, 367, 530, 300, 240, 174, 224, 203, 90, 51, 0), # 83
(684, 600, 583, 538, 492, 207, 231, 207, 265, 122, 96, 64, 0, 662, 540, 440, 376, 538, 305, 243, 178, 227, 207, 93, 52, 0), # 84
(687, 606, 590, 547, 496, 207, 234, 208, 265, 123, 97, 64, 0, 679, 547, 442, 376, 544, 307, 246, 179, 230, 208, 95, 53, 0), # 85
(690, 612, 597, 551, 501, 210, 237, 211, 267, 124, 98, 64, 0, 691, 551, 445, 379, 550, 313, 250, 184, 234, 212, 95, 53, 0), # 86
(699, 620, 608, 559, 506, 212, 242, 214, 269, 125, 99, 64, 0, 698, 558, 452, 382, 556, 317, 253, 184, 237, 212, 95, 53, 0), # 87
(708, 627, 617, 567, 510, 218, 244, 216, 273, 128, 101, 65, 0, 703, 566, 460, 385, 561, 320, 256, 187, 241, 213, 95, 53, 0), # 88
(714, 635, 619, 573, 514, 219, 249, 218, 276, 131, 103, 66, 0, 712, 572, 466, 386, 566, 324, 259, 189, 246, 215, 95, 53, 0), # 89
(720, 643, 621, 576, 522, 222, 251, 221, 279, 133, 104, 66, 0, 721, 575, 472, 393, 573, 326, 262, 192, 248, 220, 96, 54, 0), # 90
(726, 650, 630, 578, 527, 223, 253, 221, 281, 135, 105, 66, 0, 727, 581, 474, 396, 578, 331, 266, 193, 251, 220, 97, 54, 0), # 91
(733, 652, 642, 586, 532, 225, 259, 221, 284, 135, 107, 66, 0, 732, 586, 476, 401, 590, 337, 269, 197, 263, 222, 97, 57, 0), # 92
(740, 659, 648, 594, 537, 227, 262, 222, 288, 135, 110, 66, 0, 746, 594, 481, 403, 594, 339, 276, 199, 266, 223, 98, 58, 0), # 93
(752, 666, 653, 597, 545, 232, 266, 225, 294, 138, 111, 68, 0, 753, 600, 489, 407, 604, 343, 279, 201, 270, 225, 98, 58, 0), # 94
(757, 672, 658, 602, 551, 235, 268, 227, 297, 140, 111, 69, 0, 762, 607, 499, 413, 609, 347, 279, 204, 272, 227, 100, 59, 0), # 95
(762, 682, 666, 604, 555, 238, 274, 230, 298, 142, 112, 69, 0, 767, 615, 502, 417, 615, 352, 279, 207, 273, 229, 101, 60, 0), # 96
(772, 685, 673, 608, 560, 239, 277, 230, 302, 142, 115, 69, 0, 776, 623, 510, 422, 626, 357, 283, 208, 276, 231, 102, 62, 0), # 97
(775, 689, 682, 615, 565, 241, 282, 233, 306, 144, 116, 70, 0, 785, 629, 514, 429, 632, 359, 286, 210, 278, 233, 104, 62, 0), # 98
(784, 694, 690, 618, 571, 242, 283, 238, 306, 145, 116, 70, 0, 792, 635, 517, 433, 635, 362, 289, 212, 284, 236, 104, 62, 0), # 99
(790, 700, 693, 626, 578, 243, 284, 240, 309, 146, 118, 70, 0, 800, 639, 524, 436, 644, 365, 293, 217, 286, 239, 107, 62, 0), # 100
(798, 704, 698, 634, 581, 249, 286, 244, 311, 147, 119, 71, 0, 812, 648, 531, 439, 650, 369, 297, 220, 287, 245, 109, 62, 0), # 101
(805, 712, 699, 641, 587, 250, 288, 245, 318, 147, 119, 71, 0, 817, 652, 542, 441, 653, 372, 300, 221, 288, 248, 110, 63, 0), # 102
(814, 716, 708, 646, 590, 255, 291, 245, 322, 147, 121, 71, 0, 827, 657, 549, 443, 661, 375, 302, 223, 292, 250, 111, 63, 0), # 103
(822, 719, 711, 651, 595, 258, 292, 250, 324, 147, 123, 71, 0, 833, 665, 550, 445, 667, 377, 304, 224, 294, 252, 111, 63, 0), # 104
(833, 722, 715, 658, 600, 260, 294, 250, 325, 149, 124, 71, 0, 839, 680, 556, 449, 674, 379, 310, 224, 296, 257, 112, 63, 0), # 105
(843, 733, 724, 663, 603, 262, 296, 251, 326, 149, 126, 71, 0, 848, 691, 565, 455, 678, 382, 316, 226, 303, 262, 112, 63, 0), # 106
(846, 739, 735, 670, 608, 262, 297, 253, 330, 149, 127, 72, 0, 857, 698, 570, 458, 692, 384, 320, 229, 304, 264, 114, 63, 0), # 107
(852, 750, 738, 678, 611, 270, 297, 255, 330, 152, 128, 72, 0, 860, 704, 574, 461, 701, 385, 324, 232, 307, 269, 115, 63, 0), # 108
(860, 754, 748, 684, 616, 272, 303, 258, 330, 155, 128, 72, 0, 868, 712, 578, 462, 709, 388, 328, 232, 307, 270, 118, 65, 0), # 109
(869, 762, 751, 688, 619, 275, 305, 263, 334, 157, 130, 73, 0, 873, 722, 581, 467, 715, 391, 333, 235, 310, 271, 118, 66, 0), # 110
(880, 764, 758, 693, 625, 278, 308, 269, 336, 158, 131, 75, 0, 883, 724, 583, 472, 718, 395, 336, 236, 314, 272, 120, 66, 0), # 111
(890, 769, 762, 703, 630, 283, 311, 272, 339, 159, 133, 76, 0, 890, 733, 589, 480, 722, 396, 339, 237, 315, 273, 122, 66, 0), # 112
(897, 776, 765, 711, 637, 287, 313, 273, 339, 160, 133, 76, 0, 902, 737, 593, 483, 726, 397, 342, 239, 316, 278, 123, 69, 0), # 113
(900, 785, 769, 716, 645, 291, 315, 275, 341, 161, 134, 76, 0, 910, 739, 598, 487, 733, 400, 345, 241, 320, 280, 124, 70, 0), # 114
(909, 794, 778, 722, 655, 292, 318, 276, 344, 162, 134, 76, 0, 920, 747, 604, 493, 740, 402, 348, 241, 326, 280, 125, 71, 0), # 115
(919, 806, 783, 727, 659, 294, 321, 281, 348, 162, 136, 78, 0, 931, 758, 609, 496, 747, 406, 351, 243, 332, 281, 125, 72, 0), # 116
(924, 813, 788, 734, 666, 295, 323, 283, 352, 164, 137, 79, 0, 936, 765, 615, 500, 751, 409, 353, 244, 335, 281, 126, 73, 0), # 117
(930, 819, 795, 738, 671, 299, 324, 283, 355, 167, 139, 80, 0, 940, 773, 618, 506, 753, 412, 354, 249, 335, 281, 126, 73, 0), # 118
(938, 823, 800, 743, 677, 303, 327, 286, 360, 168, 140, 80, 0, 950, 780, 623, 508, 765, 415, 356, 253, 336, 283, 126, 74, 0), # 119
(952, 829, 805, 748, 679, 304, 329, 287, 361, 168, 140, 80, 0, 959, 784, 624, 512, 769, 418, 358, 255, 337, 283, 126, 74, 0), # 120
(962, 835, 812, 757, 682, 312, 334, 288, 365, 170, 142, 81, 0, 969, 796, 631, 516, 774, 422, 360, 257, 342, 284, 126, 75, 0), # 121
(972, 838, 817, 770, 687, 316, 335, 290, 369, 170, 143, 82, 0, 974, 801, 633, 519, 778, 431, 363, 259, 344, 285, 126, 75, 0), # 122
(984, 843, 823, 775, 690, 319, 336, 293, 369, 170, 144, 83, 0, 988, 809, 637, 520, 785, 433, 365, 260, 348, 287, 127, 76, 0), # 123
(995, 851, 827, 786, 695, 323, 336, 295, 371, 172, 145, 84, 0, 997, 816, 641, 522, 788, 437, 368, 262, 350, 289, 129, 76, 0), # 124
(999, 856, 836, 790, 698, 327, 339, 297, 372, 173, 145, 84, 0, 1005, 821, 643, 525, 791, 439, 371, 264, 352, 289, 131, 78, 0), # 125
(1007, 859, 838, 800, 701, 329, 340, 299, 374, 173, 145, 84, 0, 1012, 824, 648, 526, 795, 441, 377, 267, 355, 294, 132, 78, 0), # 126
(1014, 862, 843, 807, 705, 332, 342, 302, 376, 173, 145, 84, 0, 1018, 827, 654, 530, 801, 446, 377, 270, 360, 294, 133, 78, 0), # 127
(1020, 867, 845, 810, 708, 332, 345, 303, 377, 173, 146, 85, 0, 1025, 835, 656, 532, 805, 449, 378, 273, 366, 295, 133, 79, 0), # 128
(1028, 877, 852, 820, 715, 334, 346, 304, 378, 174, 147, 85, 0, 1028, 837, 659, 537, 812, 450, 382, 274, 371, 299, 134, 79, 0), # 129
(1034, 882, 858, 824, 720, 335, 348, 306, 381, 175, 147, 85, 0, 1032, 840, 663, 540, 820, 452, 383, 275, 373, 303, 135, 81, 0), # 130
(1042, 889, 865, 832, 726, 340, 351, 307, 383, 175, 148, 85, 0, 1042, 845, 667, 545, 828, 453, 384, 277, 374, 307, 137, 81, 0), # 131
(1052, 894, 875, 838, 733, 343, 354, 309, 384, 175, 149, 85, 0, 1047, 851, 669, 550, 834, 453, 388, 280, 377, 309, 137, 83, 0), # 132
(1055, 901, 879, 843, 736, 349, 358, 312, 387, 180, 150, 86, 0, 1050, 860, 675, 553, 839, 454, 390, 280, 379, 312, 138, 83, 0), # 133
(1059, 908, 890, 848, 739, 351, 360, 312, 392, 182, 151, 86, 0, 1062, 864, 681, 555, 846, 458, 392, 282, 380, 315, 140, 85, 0), # 134
(1066, 913, 895, 859, 745, 352, 362, 314, 395, 182, 153, 86, 0, 1067, 870, 683, 556, 849, 462, 394, 283, 382, 316, 143, 85, 0), # 135
(1073, 920, 903, 866, 748, 353, 363, 316, 399, 185, 155, 87, 0, 1072, 874, 687, 560, 854, 464, 399, 284, 387, 319, 143, 85, 0), # 136
(1079, 927, 907, 876, 754, 355, 366, 319, 402, 186, 156, 87, 0, 1077, 879, 689, 561, 862, 467, 401, 285, 387, 322, 143, 87, 0), # 137
(1083, 931, 912, 880, 761, 360, 370, 322, 405, 186, 156, 87, 0, 1082, 885, 693, 568, 872, 468, 407, 286, 390, 325, 143, 87, 0), # 138
(1090, 939, 917, 884, 766, 361, 373, 323, 406, 186, 156, 89, 0, 1087, 886, 697, 568, 876, 473, 411, 287, 392, 327, 144, 89, 0), # 139
(1092, 942, 926, 891, 770, 362, 376, 324, 410, 187, 156, 89, 0, 1094, 892, 702, 572, 884, 476, 412, 288, 396, 331, 144, 90, 0), # 140
(1098, 944, 927, 900, 774, 365, 378, 325, 413, 187, 157, 91, 0, 1102, 900, 705, 576, 889, 477, 414, 289, 399, 332, 147, 90, 0), # 141
(1103, 946, 937, 910, 782, 367, 382, 325, 417, 189, 158, 91, 0, 1108, 908, 709, 580, 898, 477, 414, 291, 402, 333, 148, 90, 0), # 142
(1111, 947, 945, 913, 787, 368, 385, 327, 420, 189, 159, 92, 0, 1114, 916, 712, 586, 906, 481, 415, 294, 402, 335, 151, 91, 0), # 143
(1116, 952, 949, 919, 787, 372, 387, 328, 421, 189, 159, 93, 0, 1119, 921, 720, 591, 911, 482, 415, 297, 405, 336, 151, 91, 0), # 144
(1130, 957, 952, 923, 788, 374, 390, 329, 423, 189, 160, 94, 0, 1124, 926, 729, 594, 917, 484, 419, 299, 407, 336, 152, 92, 0), # 145
(1141, 963, 955, 927, 793, 376, 392, 330, 428, 191, 165, 95, 0, 1134, 932, 731, 596, 924, 487, 420, 302, 409, 340, 153, 92, 0), # 146
(1148, 966, 960, 933, 802, 378, 394, 335, 431, 193, 167, 95, 0, 1139, 937, 737, 599, 930, 490, 426, 303, 411, 345, 153, 92, 0), # 147
(1156, 970, 964, 938, 804, 380, 396, 339, 432, 194, 168, 97, 0, 1146, 941, 740, 603, 936, 495, 433, 303, 413, 350, 153, 92, 0), # 148
(1166, 975, 970, 941, 807, 384, 399, 342, 434, 195, 169, 98, 0, 1150, 946, 745, 605, 937, 498, 435, 304, 414, 352, 154, 92, 0), # 149
(1174, 982, 978, 942, 813, 387, 403, 345, 436, 195, 169, 98, 0, 1153, 953, 747, 606, 939, 500, 437, 305, 414, 354, 155, 92, 0), # 150
(1176, 989, 984, 943, 818, 390, 403, 348, 438, 197, 170, 99, 0, 1161, 957, 748, 608, 946, 501, 438, 308, 417, 355, 157, 93, 0), # 151
(1178, 994, 987, 947, 823, 395, 405, 349, 439, 200, 171, 99, 0, 1169, 960, 753, 612, 952, 502, 440, 310, 422, 356, 159, 94, 0), # 152
(1186, 1000, 992, 952, 827, 397, 407, 350, 442, 200, 171, 99, 0, 1172, 966, 758, 613, 961, 503, 441, 310, 425, 358, 161, 95, 0), # 153
(1191, 1005, 997, 958, 832, 397, 410, 353, 445, 200, 172, 100, 0, 1184, 972, 760, 616, 964, 506, 442, 310, 426, 363, 162, 95, 0), # 154
(1195, 1006, 1001, 959, 835, 399, 411, 355, 449, 202, 172, 100, 0, 1188, 978, 763, 621, 967, 507, 444, 314, 428, 365, 162, 95, 0), # 155
(1200, 1010, 1012, 962, 843, 401, 415, 355, 450, 203, 172, 100, 0, 1190, 981, 765, 625, 970, 508, 448, 316, 430, 368, 162, 96, 0), # 156
(1205, 1014, 1018, 966, 848, 404, 418, 357, 455, 203, 173, 101, 0, 1201, 987, 768, 630, 976, 513, 450, 320, 434, 369, 163, 96, 0), # 157
(1211, 1017, 1021, 970, 852, 405, 419, 358, 457, 204, 173, 102, 0, 1203, 993, 775, 633, 981, 515, 450, 324, 436, 371, 164, 96, 0), # 158
(1222, 1022, 1023, 977, 860, 407, 420, 361, 457, 205, 173, 102, 0, 1208, 999, 779, 634, 986, 517, 452, 324, 437, 375, 166, 98, 0), # 159
(1229, 1025, 1030, 980, 865, 409, 420, 361, 460, 205, 173, 102, 0, 1218, 1002, 783, 636, 990, 521, 454, 327, 438, 376, 167, 99, 0), # 160
(1230, 1030, 1034, 983, 868, 411, 421, 362, 464, 206, 173, 103, 0, 1228, 1005, 791, 640, 993, 522, 456, 328, 440, 377, 167, 100, 0), # 161
(1236, 1033, 1040, 988, 873, 412, 422, 364, 464, 206, 176, 103, 0, 1231, 1009, 793, 642, 996, 523, 458, 329, 444, 380, 168, 100, 0), # 162
(1247, 1035, 1044, 992, 877, 412, 424, 367, 467, 208, 176, 104, 0, 1233, 1015, 796, 644, 1003, 527, 459, 331, 444, 380, 169, 100, 0), # 163
(1249, 1039, 1045, 1003, 882, 418, 427, 368, 469, 210, 177, 105, 0, 1244, 1015, 798, 648, 1005, 528, 461, 332, 447, 382, 170, 100, 0), # 164
(1257, 1044, 1048, 1010, 884, 421, 431, 368, 470, 210, 178, 105, 0, 1253, 1019, 804, 651, 1008, 529, 463, 332, 450, 382, 170, 101, 0), # 165
(1264, 1047, 1053, 1014, 885, 423, 431, 368, 471, 211, 178, 105, 0, 1261, 1025, 807, 653, 1012, 532, 464, 333, 451, 384, 172, 101, 0), # 166
(1270, 1049, 1057, 1021, 888, 428, 434, 368, 473, 211, 179, 105, 0, 1264, 1028, 807, 656, 1017, 538, 466, 336, 452, 385, 174, 101, 0), # 167
(1276, 1052, 1062, 1022, 890, 431, 435, 369, 476, 212, 180, 106, 0, 1271, 1036, 809, 658, 1020, 539, 469, 340, 456, 387, 175, 101, 0), # 168
(1281, 1052, 1065, 1027, 893, 433, 436, 370, 478, 212, 180, 106, 0, 1281, 1040, 811, 660, 1023, 541, 471, 340, 460, 388, 176, 101, 0), # 169
(1284, 1055, 1067, 1030, 900, 435, 437, 370, 482, 212, 180, 106, 0, 1289, 1042, 815, 662, 1028, 544, 472, 341, 461, 393, 177, 101, 0), # 170
(1289, 1059, 1070, 1036, 904, 438, 439, 372, 484, 213, 181, 107, 0, 1292, 1046, 817, 662, 1034, 547, 474, 342, 465, 395, 178, 101, 0), # 171
(1293, 1066, 1075, 1039, 909, 438, 443, 373, 486, 214, 181, 107, 0, 1300, 1050, 818, 664, 1035, 548, 476, 343, 468, 396, 178, 101, 0), # 172
(1297, 1066, 1078, 1045, 915, 442, 443, 373, 490, 215, 182, 109, 0, 1302, 1055, 819, 668, 1037, 549, 479, 344, 470, 397, 179, 101, 0), # 173
(1303, 1071, 1084, 1051, 917, 444, 444, 375, 490, 215, 182, 110, 0, 1305, 1057, 823, 669, 1042, 551, 480, 344, 472, 397, 180, 103, 0), # 174
(1308, 1075, 1090, 1052, 920, 448, 445, 377, 493, 218, 183, 110, 0, 1308, 1059, 824, 672, 1046, 551, 480, 344, 474, 397, 181, 103, 0), # 175
(1310, 1077, 1090, 1057, 920, 449, 447, 377, 493, 218, 183, 110, 0, 1311, 1062, 825, 675, 1051, 553, 480, 345, 475, 397, 182, 103, 0), # 176
(1315, 1079, 1092, 1060, 924, 452, 448, 378, 494, 220, 183, 110, 0, 1313, 1063, 827, 677, 1055, 555, 480, 345, 476, 397, 183, 103, 0), # 177
(1318, 1079, 1098, 1061, 926, 453, 450, 378, 494, 220, 184, 110, 0, 1316, 1065, 828, 677, 1060, 556, 481, 346, 482, 403, 183, 103, 0), # 178
(1318, 1079, 1098, 1061, 926, 453, 450, 378, 494, 220, 184, 110, 0, 1316, 1065, 828, 677, 1060, 556, 481, 346, 482, 403, 183, 103, 0), # 179
)
passenger_arriving_rate = (
(4.0166924626974145, 4.051878277108322, 3.4741888197416713, 3.72880066431806, 2.962498990725126, 1.4647056349507583, 1.6584142461495661, 1.5510587243264744, 1.6240264165781353, 0.7916030031044742, 0.5607020218514138, 0.32652767188707826, 0.0, 4.067104170062691, 3.5918043907578605, 2.803510109257069, 2.374809009313422, 3.2480528331562706, 2.171482214057064, 1.6584142461495661, 1.0462183106791132, 1.481249495362563, 1.2429335547726867, 0.6948377639483343, 0.36835257064621113, 0.0), # 0
(4.283461721615979, 4.319377842372822, 3.703564394220102, 3.97508655196597, 3.1586615133195926, 1.561459005886526, 1.7677875765054776, 1.6531712409685695, 1.7312654203554425, 0.8437961384554302, 0.5977461514608177, 0.34808111072095704, 0.0, 4.3358333179518835, 3.8288922179305267, 2.9887307573040878, 2.53138841536629, 3.462530840710885, 2.3144397373559973, 1.7677875765054776, 1.1153278613475186, 1.5793307566597963, 1.3250288506553236, 0.7407128788440204, 0.39267071294298395, 0.0), # 1
(4.549378407183785, 4.585815791986718, 3.9320281903649423, 4.220392622798877, 3.3541135859998636, 1.6578263867724743, 1.8767274031842818, 1.7548750826348067, 1.838076481834013, 0.8957827550041094, 0.6346430865035085, 0.3695488434702037, 0.0, 4.603491862567752, 4.06503727817224, 3.173215432517542, 2.6873482650123277, 3.676152963668026, 2.4568251156887295, 1.8767274031842818, 1.1841617048374817, 1.6770567929999318, 1.4067975409329592, 0.7864056380729886, 0.41689234472606534, 0.0), # 2
(4.81340623451725, 4.850135034753395, 4.1586739128799035, 4.463745844519244, 3.548086227201014, 1.7534256238730528, 1.9848014566591823, 1.8557670524981693, 1.9440360429122914, 0.9473565396852364, 0.6712464549103178, 0.3908457123286974, 0.0, 4.869018245003381, 4.299302835615671, 3.356232274551589, 2.8420696190557084, 3.8880720858245827, 2.598073873497437, 1.9848014566591823, 1.2524468741950376, 1.774043113600507, 1.487915281506415, 0.8317347825759807, 0.4409213667957632, 0.0), # 3
(5.074508918732786, 5.111278479476234, 4.382595266468691, 4.704173184829542, 3.7398104553581293, 1.8478745634527118, 2.0915774674033836, 1.9554439537316386, 2.048720545488722, 0.998311179433536, 0.7074098846120768, 0.41188655949031766, 0.0, 5.131350906351854, 4.530752154393493, 3.5370494230603833, 2.9949335383006073, 4.097441090977444, 2.737621535224294, 2.0915774674033836, 1.3199104024662227, 1.8699052276790646, 1.5680577282765145, 0.8765190532937384, 0.46466167995238505, 0.0), # 4
(5.331650174946809, 5.368189034958631, 4.602885955835013, 4.940701611432236, 3.9285172889062823, 1.9407910517759004, 2.1966231658900894, 2.0535025895081978, 2.151706431461749, 1.048440361183733, 0.7429870035396177, 0.43258622714894324, 0.0, 5.389428287706262, 4.758448498638375, 3.7149350176980884, 3.145321083551198, 4.303412862923498, 2.8749036253114766, 2.1966231658900894, 1.3862793226970715, 1.9642586444531411, 1.6469005371440792, 0.9205771911670025, 0.48801718499623925, 0.0), # 5
(5.583793718275733, 5.619809610003967, 4.8186396856825775, 5.172358092029792, 4.113437746280557, 2.03179293510707, 2.299506282592505, 2.1495397630008295, 2.2525701427298173, 1.097537771870552, 0.777831439623771, 0.45285955749845397, 0.0, 5.642188830159686, 4.981455132482993, 3.889157198118855, 3.2926133156116553, 4.5051402854596345, 3.0093556682011613, 2.299506282592505, 1.4512806679336214, 2.0567188731402783, 1.724119364009931, 0.9637279371365156, 0.5108917827276335, 0.0), # 6
(5.829903263835975, 5.86508311341563, 5.02895016071509, 5.398169594324678, 4.293802845916028, 2.1204980597106697, 2.399794547983834, 2.2431522773825177, 2.350888121191372, 1.1453970984287176, 0.8117968207953693, 0.47262139273272863, 0.0, 5.888570974805216, 5.198835320060014, 4.058984103976846, 3.436191295286152, 4.701776242382744, 3.1404131883355246, 2.399794547983834, 1.514641471221907, 2.146901422958014, 1.799389864774893, 1.0057900321430182, 0.5331893739468755, 0.0), # 7
(6.068942526743948, 6.102952453997006, 5.232911085636264, 5.617163086019357, 4.468843606247779, 2.2065242718511486, 2.497055692537279, 2.333936935826242, 2.446236808744855, 1.1918120277929551, 0.8447367749852429, 0.49178657504564693, 0.0, 6.127513162735934, 5.409652325502115, 4.223683874926214, 3.5754360833788645, 4.89247361748971, 3.2675117101567386, 2.497055692537279, 1.5760887656079634, 2.2344218031238894, 1.872387695339786, 1.046582217127253, 0.5548138594542734, 0.0), # 8
(6.299875222116068, 6.332360540551483, 5.429616165149803, 5.828365534816301, 4.637791045710885, 2.2894894177929594, 2.590857446726048, 2.421490541504988, 2.538192647288713, 1.2365762468979886, 0.8765049301242238, 0.5102699466310877, 0.0, 6.35795383504493, 5.612969412941963, 4.382524650621119, 3.709728740693965, 5.076385294577426, 3.390086758106983, 2.590857446726048, 1.635349584137828, 2.3188955228554424, 1.9427885116054342, 1.0859232330299606, 0.5756691400501349, 0.0), # 9
(6.5216650650687455, 6.552250281882444, 5.6181591039594165, 6.0308039084179725, 4.799876182740427, 2.3690113438005502, 2.680767541023342, 2.505409897591737, 2.6263320787213904, 1.279483442678543, 0.9069549141431433, 0.5279863496829302, 0.0, 6.578831432825289, 5.807849846512232, 4.534774570715716, 3.838450328035629, 5.252664157442781, 3.5075738566284325, 2.680767541023342, 1.6921509598575357, 2.3999380913702133, 2.010267969472658, 1.1236318207918834, 0.5956591165347678, 0.0), # 10
(6.7332757707184046, 6.761564586793285, 5.797633606768811, 6.223505174526839, 4.954330035771484, 2.444707896138372, 2.7663537059023664, 2.585291807259472, 2.7102315449413314, 1.320327302069344, 0.9359403549728333, 0.5448506263950541, 0.0, 6.78908439717009, 5.993356890345594, 4.679701774864166, 3.9609819062080316, 5.420463089882663, 3.619408530163261, 2.7663537059023664, 1.7462199258131228, 2.477165017885742, 2.07450172484228, 1.1595267213537623, 0.6146876897084805, 0.0), # 11
(6.93367105418145, 6.959246364087378, 5.9671333782816935, 6.405496300845368, 5.100383623239134, 2.516196921070873, 2.8471836718363246, 2.6607330736811736, 2.789467487846981, 1.3589015120051147, 0.9633148805441247, 0.5607776189613379, 0.0, 6.987651169172428, 6.168553808574717, 4.816574402720623, 4.0767045360153435, 5.578934975693962, 3.7250263031536432, 2.8471836718363246, 1.7972835150506232, 2.550191811619567, 2.135165433615123, 1.1934266756563388, 0.63265876037158, 0.0), # 12
(7.121814630574301, 7.144238522568122, 6.125752123201774, 6.575804255076027, 5.237267963578454, 2.5830962648625047, 2.9228251692984224, 2.731330500029827, 2.863616349336782, 1.3949997594205812, 0.9889321187878493, 0.5756821695756614, 0.0, 7.173470189925388, 6.332503865332275, 4.944660593939246, 4.184999278261743, 5.727232698673564, 3.8238627000417584, 2.9228251692984224, 1.8450687606160747, 2.618633981789227, 2.1919347516920094, 1.225150424640355, 0.6494762293243748, 0.0), # 13
(7.296670215013373, 7.315483971038899, 6.272583546232765, 6.733456004921276, 5.3642140752245275, 2.6450237737777162, 2.9928459287618647, 2.7966808894784156, 2.932254571309179, 1.428415731250467, 1.0126456976348381, 0.5894791204319041, 0.0, 7.345479900522051, 6.484270324750944, 5.06322848817419, 4.285247193751401, 5.864509142618358, 3.9153532452697823, 2.9928459287618647, 1.8893026955555114, 2.6821070376122638, 2.244485334973759, 1.254516709246553, 0.6650439973671727, 0.0), # 14
(7.457201522615084, 7.471925618303093, 6.406721352078362, 6.877478518083592, 5.480452976612431, 2.701597294080959, 3.0568136806998503, 2.8563810451999188, 2.9949585956626184, 1.4589431144294984, 1.0343092450159228, 0.6020833137239449, 0.0, 7.502618742055505, 6.622916450963392, 5.171546225079613, 4.376829343288494, 5.989917191325237, 3.9989334632798865, 3.0568136806998503, 1.9297123529149707, 2.7402264883062153, 2.2924928393611976, 1.2813442704156726, 0.6792659653002813, 0.0), # 15
(7.602372268495841, 7.612506373164098, 6.527259245442284, 7.006898762265429, 5.585215686177244, 2.7524346720366815, 3.1142961555855906, 2.9100277703673205, 3.0513048642955427, 1.4863755958923994, 1.0537763888619351, 0.6134095916456628, 0.0, 7.643825155618837, 6.747505508102289, 5.268881944309675, 4.459126787677198, 6.102609728591085, 4.074038878514249, 3.1142961555855906, 1.9660247657404866, 2.792607843088622, 2.3356329207551436, 1.3054518490884568, 0.692046033924009, 0.0), # 16
(7.73114616777206, 7.736169144425294, 6.6332909310282355, 7.120743705169268, 5.677733222354047, 2.7971537539093334, 3.1648610838922844, 2.9572178681536063, 3.1008698191063955, 1.510506862573894, 1.0709007571037066, 0.6233727963909371, 0.0, 7.768037582305133, 6.857100760300307, 5.354503785518533, 4.531520587721681, 6.201739638212791, 4.140105015415049, 3.1648610838922844, 1.9979669670780953, 2.8388666111770235, 2.373581235056423, 1.3266581862056472, 0.7032881040386633, 0.0), # 17
(7.842486935560164, 7.841856840890068, 6.723910113539921, 7.218040314497568, 5.757236603577914, 2.8353723859633684, 3.2080761960931405, 2.9975481417317535, 3.1432299019936254, 1.5311306014087078, 1.085535977672068, 0.6318877701536477, 0.0, 7.874194463207477, 6.950765471690124, 5.427679888360339, 4.593391804226123, 6.286459803987251, 4.196567398424455, 3.2080761960931405, 2.0252659899738346, 2.878618301788957, 2.406013438165856, 1.344782022707984, 0.7128960764445517, 0.0), # 18
(7.935358286976559, 7.928512371361812, 6.798210497681052, 7.29781555795279, 5.822956848283928, 2.866708414463231, 3.2435092226613578, 3.030615394274749, 3.1779615548556746, 1.5480404993315662, 1.0975356784978507, 0.6388693551276732, 0.0, 7.961234239418957, 7.027562906404404, 5.4876783924892525, 4.644121497994697, 6.355923109711349, 4.242861551984649, 3.2435092226613578, 2.0476488674737365, 2.911478424141964, 2.4326051859842637, 1.3596420995362106, 0.720773851941983, 0.0), # 19
(8.008723937137665, 7.995078644643906, 6.855285788155336, 7.359096403237412, 5.874124974907169, 2.8907796856733756, 3.270727894070145, 3.0560164289555725, 3.2046412195909864, 1.5610302432771923, 1.106753487511887, 0.6442323935068929, 0.0, 8.02809535203266, 7.08655632857582, 5.533767437559434, 4.683090729831576, 6.409282439181973, 4.278423000537802, 3.270727894070145, 2.0648426326238396, 2.9370624874535847, 2.4530321344124713, 1.3710571576310673, 0.7268253313312643, 0.0), # 20
(8.061547601159893, 8.040498569539743, 6.89422968966648, 7.400909818053892, 5.909972001882714, 2.90720404585825, 3.289299940792704, 3.0733480489472083, 3.222845338098006, 1.5698935201803115, 1.113043032645008, 0.6478917274851863, 0.0, 8.073716242141662, 7.1268090023370485, 5.56521516322504, 4.709680560540933, 6.445690676196012, 4.302687268526092, 3.289299940792704, 2.0765743184701786, 2.954986000941357, 2.466969939351298, 1.378845937933296, 0.730954415412704, 0.0), # 21
(8.092792994159664, 8.063715054852706, 6.91413590691819, 7.422282770104703, 5.92972894764564, 2.915599341282305, 3.29879309330224, 3.0822070574226386, 3.2321503522751773, 1.574424016975649, 1.1162579418280456, 0.6497621992564327, 0.0, 8.097035350839063, 7.147384191820759, 5.581289709140227, 4.723272050926946, 6.464300704550355, 4.315089880391694, 3.29879309330224, 2.0825709580587892, 2.96486447382282, 2.474094256701568, 1.3828271813836381, 0.7330650049866098, 0.0), # 22
(8.104314690674112, 8.066463968907179, 6.916615454961135, 7.424958487654322, 5.9347904298840515, 2.916666666666667, 3.2999216009037355, 3.0831646090534983, 3.2333136625514407, 1.574958454503887, 1.1166610716215655, 0.6499931717725956, 0.0, 8.1, 7.149924889498552, 5.583305358107827, 4.72487536351166, 6.466627325102881, 4.316430452674898, 3.2999216009037355, 2.0833333333333335, 2.9673952149420257, 2.474986162551441, 1.3833230909922272, 0.7333149062642891, 0.0), # 23
(8.112809930427323, 8.06486049382716, 6.916209876543211, 7.4246291666666675, 5.937657393927921, 2.916666666666667, 3.299301525054467, 3.0818333333333334, 3.2331577777777776, 1.5746301234567905, 1.1166166105499442, 0.6499390946502058, 0.0, 8.1, 7.149330041152263, 5.583083052749721, 4.72389037037037, 6.466315555555555, 4.314566666666667, 3.299301525054467, 2.0833333333333335, 2.9688286969639606, 2.4748763888888896, 1.3832419753086422, 0.7331691358024692, 0.0), # 24
(8.121125784169264, 8.06169981710105, 6.915409236396892, 7.423977623456791, 5.940461304317068, 2.916666666666667, 3.298079561042524, 3.0792181069958855, 3.2328497942386836, 1.5739837677183361, 1.1165284532568485, 0.6498323426306966, 0.0, 8.1, 7.148155768937661, 5.5826422662842425, 4.7219513031550076, 6.465699588477367, 4.31090534979424, 3.298079561042524, 2.0833333333333335, 2.970230652158534, 2.474659207818931, 1.3830818472793784, 0.7328818015546411, 0.0), # 25
(8.129261615238427, 8.057030224051212, 6.914224508459078, 7.423011265432098, 5.943202063157923, 2.916666666666667, 3.2962746873234887, 3.0753683127572025, 3.23239366255144, 1.5730301417466854, 1.1163973978467807, 0.6496743789056548, 0.0, 8.1, 7.146418167962202, 5.581986989233903, 4.719090425240055, 6.46478732510288, 4.305515637860084, 3.2962746873234887, 2.0833333333333335, 2.9716010315789614, 2.4743370884773666, 1.3828449016918156, 0.732457293095565, 0.0), # 26
(8.13721678697331, 8.0509, 6.9126666666666665, 7.4217375, 5.945879572556914, 2.916666666666667, 3.2939058823529415, 3.0703333333333336, 3.231793333333333, 1.5717800000000004, 1.1162242424242426, 0.6494666666666669, 0.0, 8.1, 7.144133333333334, 5.581121212121213, 4.715339999999999, 6.463586666666666, 4.298466666666667, 3.2939058823529415, 2.0833333333333335, 2.972939786278457, 2.4739125000000004, 1.3825333333333334, 0.7319000000000001, 0.0), # 27
(8.1449906627124, 8.043357430269776, 6.910746684956561, 7.420163734567902, 5.948493734620481, 2.916666666666667, 3.2909921245864604, 3.06416255144033, 3.231052757201646, 1.570244096936443, 1.116009785093736, 0.6492106691053194, 0.0, 8.1, 7.141317360158513, 5.580048925468679, 4.710732290809328, 6.462105514403292, 4.289827572016462, 3.2909921245864604, 2.0833333333333335, 2.9742468673102405, 2.4733879115226345, 1.3821493369913125, 0.731214311842707, 0.0), # 28
(8.1525826057942, 8.0344508001829, 6.908475537265661, 7.41829737654321, 5.951044451455051, 2.916666666666667, 3.2875523924796264, 3.0569053497942384, 3.2301758847736624, 1.5684331870141752, 1.1157548239597623, 0.6489078494131992, 0.0, 8.1, 7.13798634354519, 5.578774119798812, 4.705299561042525, 6.460351769547325, 4.279667489711934, 3.2875523924796264, 2.0833333333333335, 2.9755222257275253, 2.4727657921810704, 1.3816951074531325, 0.7304046181984455, 0.0), # 29
(8.159991979557198, 8.02422839506173, 6.905864197530864, 7.416145833333333, 5.953531625167059, 2.916666666666667, 3.2836056644880176, 3.048611111111111, 3.2291666666666665, 1.5663580246913587, 1.115460157126824, 0.648559670781893, 0.0, 8.1, 7.134156378600823, 5.57730078563412, 4.699074074074074, 6.458333333333333, 4.268055555555556, 3.2836056644880176, 2.0833333333333335, 2.9767658125835297, 2.4720486111111115, 1.3811728395061729, 0.7294753086419755, 0.0), # 30
(8.167218147339886, 8.012738500228625, 6.902923639689073, 7.41371651234568, 5.955955157862938, 2.916666666666667, 3.279170919067216, 3.039329218106996, 3.2280290534979423, 1.5640293644261551, 1.1151265826994223, 0.6481675964029875, 0.0, 8.1, 7.129843560432862, 5.575632913497111, 4.692088093278464, 6.456058106995885, 4.2550609053497945, 3.279170919067216, 2.0833333333333335, 2.977977578931469, 2.4712388374485603, 1.3805847279378145, 0.7284307727480569, 0.0), # 31
(8.174260472480764, 8.000029401005945, 6.899664837677183, 7.411016820987655, 5.958314951649118, 2.916666666666667, 3.2742671346727996, 3.029109053497943, 3.226766995884774, 1.5614579606767267, 1.1147548987820595, 0.6477330894680691, 0.0, 8.1, 7.125063984148759, 5.573774493910297, 4.684373882030179, 6.453533991769548, 4.24075267489712, 3.2742671346727996, 2.0833333333333335, 2.979157475824559, 2.470338940329219, 1.3799329675354366, 0.7272754000914496, 0.0), # 32
(8.181118318318317, 7.986149382716048, 6.896098765432099, 7.408054166666666, 5.960610908632033, 2.916666666666667, 3.2689132897603486, 3.0180000000000002, 3.2253844444444444, 1.5586545679012351, 1.114345903479237, 0.6472576131687243, 0.0, 8.1, 7.119833744855966, 5.571729517396184, 4.6759637037037045, 6.450768888888889, 4.225200000000001, 3.2689132897603486, 2.0833333333333335, 2.9803054543160163, 2.469351388888889, 1.37921975308642, 0.7260135802469135, 0.0), # 33
(8.187791048191048, 7.971146730681298, 6.892236396890718, 7.404835956790124, 5.962842930918115, 2.916666666666667, 3.263128362785444, 3.006051440329218, 3.2238853497942395, 1.5556299405578424, 1.1139003948954567, 0.6467426306965403, 0.0, 8.1, 7.114168937661942, 5.569501974477284, 4.666889821673526, 6.447770699588479, 4.208472016460905, 3.263128362785444, 2.0833333333333335, 2.9814214654590576, 2.468278652263375, 1.3784472793781437, 0.724649702789209, 0.0), # 34
(8.194278025437447, 7.95506973022405, 6.888088705989941, 7.401369598765432, 5.965010920613797, 2.916666666666667, 3.2569313322036635, 2.9933127572016467, 3.2222736625514408, 1.5523948331047102, 1.1134191711352206, 0.6461896052431033, 0.0, 8.1, 7.108085657674136, 5.5670958556761025, 4.657184499314129, 6.4445473251028815, 4.1906378600823055, 3.2569313322036635, 2.0833333333333335, 2.9825054603068986, 2.4671231995884777, 1.3776177411979884, 0.7231881572930956, 0.0), # 35
(8.200578613396004, 7.937966666666665, 6.8836666666666675, 7.3976625, 5.967114779825512, 2.916666666666667, 3.250341176470588, 2.979833333333334, 3.220553333333333, 1.5489600000000006, 1.1129030303030305, 0.6456000000000002, 0.0, 8.1, 7.101600000000001, 5.564515151515152, 4.64688, 6.441106666666666, 4.1717666666666675, 3.250341176470588, 2.0833333333333335, 2.983557389912756, 2.4658875000000005, 1.3767333333333336, 0.7216333333333333, 0.0), # 36
(8.20669217540522, 7.919885825331503, 6.8789812528577965, 7.393722067901235, 5.969154410659692, 2.916666666666667, 3.2433768740417976, 2.9656625514403294, 3.218728312757202, 1.5453361957018754, 1.1123527705033882, 0.6449752781588174, 0.0, 8.1, 7.09472805974699, 5.561763852516941, 4.636008587105625, 6.437456625514404, 4.1519275720164615, 3.2433768740417976, 2.0833333333333335, 2.984577205329846, 2.4645740226337454, 1.3757962505715595, 0.7199896204846822, 0.0), # 37
(8.212618074803581, 7.9008754915409245, 6.874043438500229, 7.389555709876545, 5.971129715222768, 2.916666666666667, 3.2360574033728717, 2.9508497942386835, 3.2168025514403293, 1.5415341746684963, 1.111769189840795, 0.6443169029111417, 0.0, 8.1, 7.087485932022558, 5.558845949203975, 4.624602524005487, 6.433605102880659, 4.131189711934157, 3.2360574033728717, 2.0833333333333335, 2.985564857611384, 2.4631852366255154, 1.3748086877000458, 0.7182614083219023, 0.0), # 38
(8.218355674929589, 7.880983950617284, 6.868864197530866, 7.3851708333333335, 5.973040595621175, 2.916666666666667, 3.2284017429193903, 2.9354444444444447, 3.21478, 1.5375646913580252, 1.1111530864197532, 0.6436263374485597, 0.0, 8.1, 7.079889711934156, 5.555765432098766, 4.612694074074074, 6.42956, 4.109622222222223, 3.2284017429193903, 2.0833333333333335, 2.9865202978105874, 2.4617236111111116, 1.3737728395061732, 0.7164530864197532, 0.0), # 39
(8.22390433912173, 7.860259487882944, 6.863454503886603, 7.380574845679012, 5.974886953961343, 2.916666666666667, 3.2204288711369324, 2.9194958847736636, 3.212664609053498, 1.5334385002286244, 1.1105052583447648, 0.6429050449626583, 0.0, 8.1, 7.071955494589241, 5.552526291723823, 4.600315500685872, 6.425329218106996, 4.087294238683129, 3.2204288711369324, 2.0833333333333335, 2.9874434769806717, 2.460191615226338, 1.3726909007773205, 0.714569044352995, 0.0), # 40
(8.229263430718502, 7.838750388660264, 6.857825331504345, 7.375775154320989, 5.976668692349708, 2.916666666666667, 3.212157766481078, 2.903053497942387, 3.210460329218107, 1.529166355738455, 1.1098265037203312, 0.6421544886450238, 0.0, 8.1, 7.06369937509526, 5.549132518601655, 4.587499067215363, 6.420920658436214, 4.0642748971193425, 3.212157766481078, 2.0833333333333335, 2.988334346174854, 2.4585917181069967, 1.371565066300869, 0.7126136716963878, 0.0), # 41
(8.2344323130584, 7.816504938271606, 6.85198765432099, 7.370779166666668, 5.978385712892697, 2.916666666666667, 3.2036074074074072, 2.886166666666667, 3.2081711111111115, 1.5247590123456796, 1.1091176206509543, 0.641376131687243, 0.0, 8.1, 7.0551374485596705, 5.5455881032547705, 4.574277037037037, 6.416342222222223, 4.040633333333334, 3.2036074074074072, 2.0833333333333335, 2.9891928564463486, 2.4569263888888897, 1.370397530864198, 0.7105913580246915, 0.0), # 42
(8.239410349479915, 7.7935714220393235, 6.845952446273435, 7.3655942901234575, 5.980037917696748, 2.916666666666667, 3.1947967723715003, 2.868884773662552, 3.2058009053497942, 1.5202272245084596, 1.1083794072411357, 0.6405714372809025, 0.0, 8.1, 7.046285810089926, 5.541897036205678, 4.5606816735253775, 6.4116018106995885, 4.016438683127573, 3.1947967723715003, 2.0833333333333335, 2.990018958848374, 2.4551980967078197, 1.369190489254687, 0.7085064929126659, 0.0), # 43
(8.244196903321543, 7.769998125285779, 6.839730681298583, 7.360227932098766, 5.981625208868291, 2.916666666666667, 3.185744839828936, 2.8512572016460913, 3.2033536625514403, 1.515581746684957, 1.1076126615953779, 0.639741868617589, 0.0, 8.1, 7.037160554793477, 5.538063307976889, 4.54674524005487, 6.4067073251028805, 3.9917600823045283, 3.185744839828936, 2.0833333333333335, 2.9908126044341454, 2.4534093106995893, 1.3679461362597167, 0.7063634659350709, 0.0), # 44
(8.248791337921773, 7.745833333333334, 6.833333333333335, 7.354687500000001, 5.983147488513758, 2.916666666666667, 3.1764705882352944, 2.833333333333334, 3.2008333333333328, 1.510833333333334, 1.106818181818182, 0.638888888888889, 0.0, 8.1, 7.027777777777777, 5.534090909090909, 4.532500000000001, 6.4016666666666655, 3.9666666666666672, 3.1764705882352944, 2.0833333333333335, 2.991573744256879, 2.4515625000000005, 1.366666666666667, 0.7041666666666668, 0.0), # 45
(8.253193016619106, 7.721125331504343, 6.8267713763145865, 7.348980401234568, 5.984604658739582, 2.916666666666667, 3.1669929960461554, 2.81516255144033, 3.198243868312757, 1.5059927389117518, 1.10599676601405, 0.6380139612863894, 0.0, 8.1, 7.018153574150282, 5.5299838300702495, 4.517978216735254, 6.396487736625514, 3.941227572016462, 3.1669929960461554, 2.0833333333333335, 2.992302329369791, 2.4496601337448567, 1.3653542752629175, 0.7019204846822131, 0.0), # 46
(8.257401302752028, 7.695922405121171, 6.8200557841792415, 7.3431140432098765, 5.985996621652196, 2.916666666666667, 3.1573310417170988, 2.7967942386831277, 3.195589218106996, 1.5010707178783727, 1.105149212287484, 0.6371185490016767, 0.0, 8.1, 7.008304039018443, 5.525746061437419, 4.503212153635117, 6.391178436213992, 3.915511934156379, 3.1573310417170988, 2.0833333333333335, 2.992998310826098, 2.4477046810699594, 1.3640111568358484, 0.6996293095564702, 0.0), # 47
(8.261415559659037, 7.670272839506174, 6.8131975308641985, 7.3370958333333345, 5.987323279358032, 2.916666666666667, 3.1475037037037037, 2.7782777777777783, 3.1928733333333335, 1.4960780246913583, 1.1042763187429856, 0.6362041152263375, 0.0, 8.1, 6.998245267489711, 5.521381593714927, 4.488234074074074, 6.385746666666667, 3.88958888888889, 3.1475037037037037, 2.0833333333333335, 2.993661639679016, 2.445698611111112, 1.3626395061728398, 0.6972975308641977, 0.0), # 48
(8.26523515067863, 7.644224919981709, 6.806207590306356, 7.330933179012346, 5.9885845339635235, 2.916666666666667, 3.137529960461551, 2.7596625514403295, 3.190100164609053, 1.491025413808871, 1.1033788834850566, 0.6352721231519587, 0.0, 8.1, 6.987993354671545, 5.5168944174252825, 4.473076241426613, 6.380200329218106, 3.8635275720164617, 3.137529960461551, 2.0833333333333335, 2.9942922669817618, 2.443644393004116, 1.3612415180612714, 0.6949295381801555, 0.0), # 49
(8.268859439149294, 7.617826931870143, 6.799096936442616, 7.324633487654321, 5.989780287575101, 2.916666666666667, 3.12742879044622, 2.7409979423868314, 3.1872736625514397, 1.485923639689072, 1.1024577046181985, 0.6343240359701267, 0.0, 8.1, 6.977564395671393, 5.512288523090993, 4.457770919067215, 6.3745473251028795, 3.8373971193415644, 3.12742879044622, 2.0833333333333335, 2.9948901437875506, 2.441544495884774, 1.3598193872885234, 0.692529721079104, 0.0), # 50
(8.272287788409528, 7.591127160493827, 6.791876543209877, 7.318204166666668, 5.9909104422991994, 2.916666666666667, 3.11721917211329, 2.7223333333333333, 3.184397777777778, 1.4807834567901237, 1.1015135802469138, 0.6333613168724281, 0.0, 8.1, 6.966974485596708, 5.507567901234569, 4.44235037037037, 6.368795555555556, 3.811266666666667, 3.11721917211329, 2.0833333333333335, 2.9954552211495997, 2.4394013888888897, 1.3583753086419754, 0.6901024691358025, 0.0), # 51
(8.275519561797823, 7.564173891175126, 6.78455738454504, 7.311652623456791, 5.991974900242248, 2.916666666666667, 3.1069200839183413, 2.7037181069958844, 3.18147646090535, 1.4756156195701877, 1.1005473084757038, 0.6323854290504498, 0.0, 8.1, 6.956239719554947, 5.502736542378519, 4.4268468587105625, 6.3629529218107, 3.7852053497942384, 3.1069200839183413, 2.0833333333333335, 2.995987450121124, 2.437217541152264, 1.356911476909008, 0.6876521719250116, 0.0), # 52
(8.278554122652675, 7.537015409236398, 6.777150434385004, 7.304986265432099, 5.992973563510682, 2.916666666666667, 3.0965505043169532, 2.6852016460905355, 3.1785136625514405, 1.470430882487426, 1.0995596874090703, 0.6313978356957782, 0.0, 8.1, 6.945376192653559, 5.4977984370453505, 4.411292647462277, 6.357027325102881, 3.7592823045267494, 3.0965505043169532, 2.0833333333333335, 2.996486781755341, 2.4349954218107, 1.355430086877001, 0.6851832190214908, 0.0), # 53
(8.281390834312573, 7.5097000000000005, 6.769666666666667, 7.2982125, 5.993906334210934, 2.916666666666667, 3.086129411764706, 2.6668333333333334, 3.1755133333333334, 1.4652400000000003, 1.098551515151515, 0.6304000000000001, 0.0, 8.1, 6.9344, 5.492757575757575, 4.395720000000001, 6.351026666666667, 3.7335666666666665, 3.086129411764706, 2.0833333333333335, 2.996953167105467, 2.4327375000000004, 1.3539333333333334, 0.6827000000000002, 0.0), # 54
(8.284029060116017, 7.482275948788294, 6.762117055326932, 7.291338734567901, 5.994773114449434, 2.916666666666667, 3.075675784717179, 2.6486625514403292, 3.1724794238683125, 1.4600537265660727, 1.0975235898075406, 0.6293933851547021, 0.0, 8.1, 6.923327236701723, 5.487617949037702, 4.380161179698217, 6.344958847736625, 3.708127572016461, 3.075675784717179, 2.0833333333333335, 2.997386557224717, 2.4304462448559674, 1.3524234110653865, 0.6802069044352995, 0.0), # 55
(8.286468163401498, 7.454791540923639, 6.754512574302698, 7.28437237654321, 5.995573806332619, 2.916666666666667, 3.0652086016299527, 2.6307386831275723, 3.169415884773662, 1.4548828166438048, 1.0964767094816479, 0.6283794543514709, 0.0, 8.1, 6.912173997866179, 5.482383547408239, 4.364648449931414, 6.338831769547324, 3.6830341563786013, 3.0652086016299527, 2.0833333333333335, 2.9977869031663094, 2.4281241255144037, 1.3509025148605398, 0.6777083219021491, 0.0), # 56
(8.288707507507507, 7.427295061728395, 6.746864197530866, 7.277320833333334, 5.996308311966915, 2.916666666666667, 3.0547468409586056, 2.613111111111112, 3.166326666666667, 1.4497380246913585, 1.0954116722783391, 0.627359670781893, 0.0, 8.1, 6.900956378600823, 5.477058361391695, 4.349214074074075, 6.332653333333334, 3.6583555555555565, 3.0547468409586056, 2.0833333333333335, 2.9981541559834577, 2.425773611111112, 1.3493728395061733, 0.6752086419753087, 0.0), # 57
(8.290746455772544, 7.39983479652492, 6.739182898948332, 7.270191512345679, 5.99697653345876, 2.916666666666667, 3.044309481158719, 2.595829218106996, 3.163215720164609, 1.4446301051668957, 1.0943292763021162, 0.6263354976375554, 0.0, 8.1, 6.889690474013108, 5.471646381510581, 4.333890315500686, 6.326431440329218, 3.6341609053497947, 3.044309481158719, 2.0833333333333335, 2.99848826672938, 2.4233971707818935, 1.3478365797896665, 0.6727122542295383, 0.0), # 58
(8.292584371535098, 7.372459030635573, 6.731479652491998, 7.262991820987654, 5.9975783729145835, 2.916666666666667, 3.0339155006858713, 2.578942386831276, 3.160086995884774, 1.4395698125285785, 1.0932303196574802, 0.6253083981100444, 0.0, 8.1, 6.878392379210486, 5.4661515982874, 4.318709437585735, 6.320173991769548, 3.6105193415637866, 3.0339155006858713, 2.0833333333333335, 2.9987891864572918, 2.420997273662552, 1.3462959304984, 0.6702235482395976, 0.0), # 59
(8.294220618133663, 7.345216049382717, 6.723765432098765, 7.255729166666667, 5.998113732440819, 2.916666666666667, 3.0235838779956428, 2.5625000000000004, 3.156944444444445, 1.4345679012345682, 1.092115600448934, 0.6242798353909466, 0.0, 8.1, 6.867078189300411, 5.460578002244669, 4.303703703703704, 6.31388888888889, 3.5875000000000004, 3.0235838779956428, 2.0833333333333335, 2.9990568662204096, 2.4185763888888894, 1.3447530864197532, 0.6677469135802471, 0.0), # 60
(8.295654558906731, 7.3181541380887065, 6.716051211705533, 7.248410956790124, 5.998582514143899, 2.916666666666667, 3.0133335915436135, 2.5465514403292184, 3.1537920164609052, 1.4296351257430273, 1.0909859167809788, 0.623251272671849, 0.0, 8.1, 6.855763999390337, 5.454929583904893, 4.2889053772290815, 6.3075840329218105, 3.5651720164609055, 3.0133335915436135, 2.0833333333333335, 2.9992912570719494, 2.4161369855967085, 1.3432102423411068, 0.6652867398262462, 0.0), # 61
(8.296885557192804, 7.291321582075903, 6.708347965249201, 7.241044598765433, 5.998984620130258, 2.916666666666667, 3.0031836197853625, 2.5311460905349796, 3.1506336625514404, 1.4247822405121175, 1.0898420667581163, 0.6222241731443379, 0.0, 8.1, 6.844465904587715, 5.449210333790581, 4.274346721536352, 6.301267325102881, 3.5436045267489718, 3.0031836197853625, 2.0833333333333335, 2.999492310065129, 2.4136815329218115, 1.3416695930498403, 0.6628474165523549, 0.0), # 62
(8.297912976330368, 7.264766666666667, 6.700666666666668, 7.233637500000001, 5.999319952506323, 2.916666666666667, 2.9931529411764703, 2.5163333333333338, 3.147473333333333, 1.4200200000000003, 1.0886848484848488, 0.6212000000000001, 0.0, 8.1, 6.8332, 5.443424242424244, 4.26006, 6.294946666666666, 3.5228666666666677, 2.9931529411764703, 2.0833333333333335, 2.9996599762531617, 2.411212500000001, 1.3401333333333336, 0.6604333333333334, 0.0), # 63
(8.298736179657919, 7.2385376771833565, 6.693018289894834, 7.226197067901236, 5.999588413378532, 2.916666666666667, 2.983260534172517, 2.5021625514403296, 3.1443149794238683, 1.415359158664838, 1.0875150600656773, 0.6201802164304223, 0.0, 8.1, 6.821982380734645, 5.437575300328387, 4.246077475994513, 6.288629958847737, 3.5030275720164616, 2.983260534172517, 2.0833333333333335, 2.999794206689266, 2.408732355967079, 1.3386036579789669, 0.6580488797439416, 0.0), # 64
(8.29935453051395, 7.212682898948331, 6.685413808870599, 7.218730709876544, 5.999789904853316, 2.916666666666667, 2.9735253772290813, 2.4886831275720165, 3.1411625514403294, 1.4108104709647922, 1.0863334996051048, 0.619166285627191, 0.0, 8.1, 6.8108291418991, 5.431667498025524, 4.232431412894376, 6.282325102880659, 3.484156378600823, 2.9735253772290813, 2.0833333333333335, 2.999894952426658, 2.4062435699588485, 1.33708276177412, 0.6556984453589393, 0.0), # 65
(8.299767392236957, 7.187250617283952, 6.677864197530865, 7.211245833333334, 5.999924329037105, 2.916666666666667, 2.963966448801743, 2.475944444444445, 3.13802, 1.406384691358025, 1.085140965207632, 0.6181596707818932, 0.0, 8.1, 6.799756378600824, 5.425704826038159, 4.2191540740740745, 6.27604, 3.466322222222223, 2.963966448801743, 2.0833333333333335, 2.9999621645185526, 2.4037486111111117, 1.3355728395061732, 0.6533864197530866, 0.0), # 66
(8.299974128165434, 7.162289117512574, 6.670380429812529, 7.203749845679012, 5.999991588036336, 2.916666666666667, 2.9546027273460824, 2.4639958847736634, 3.1348912757201646, 1.4020925743026982, 1.0839382549777616, 0.617161835086115, 0.0, 8.1, 6.788780185947264, 5.419691274888807, 4.206277722908094, 6.269782551440329, 3.4495942386831286, 2.9546027273460824, 2.0833333333333335, 2.999995794018168, 2.401249948559671, 1.3340760859625058, 0.6511171925011432, 0.0), # 67
(8.29983329158466, 7.137715668834903, 6.662937299954276, 7.196185044283415, 5.999934909491917, 2.916612538739013, 2.9454060779318585, 2.452781283340954, 3.131756759640299, 1.3979240883294335, 1.0827047984720504, 0.6161686681266496, 0.0, 8.099900120027435, 6.777855349393144, 5.413523992360251, 4.1937722649883, 6.263513519280598, 3.433893796677336, 2.9454060779318585, 2.0832946705278665, 2.9999674547459585, 2.398728348094472, 1.3325874599908551, 0.648883242621355, 0.0), # 68
(8.298513365539453, 7.112780047789725, 6.655325617283951, 7.188170108695652, 5.999419026870006, 2.916184636488341, 2.9361072725386457, 2.4416995884773662, 3.1284794238683125, 1.3937612781408861, 1.0813150451887295, 0.6151479315572884, 0.0, 8.099108796296298, 6.766627247130171, 5.406575225943647, 4.181283834422658, 6.256958847736625, 3.4183794238683127, 2.9361072725386457, 2.0829890260631005, 2.999709513435003, 2.396056702898551, 1.33106512345679, 0.6466163679808842, 0.0), # 69
(8.295908630047116, 7.087367803885127, 6.647512288523091, 7.179652274557166, 5.998399634202102, 2.9153419194228523, 2.926664053824548, 2.4306508154244786, 3.1250407712238992, 1.3895839048925471, 1.079753184870144, 0.614094850752854, 0.0, 8.097545867626888, 6.755043358281393, 5.3987659243507204, 4.168751714677641, 6.2500815424477985, 3.40291114159427, 2.926664053824548, 2.082387085302037, 2.999199817101051, 2.393217424852389, 1.3295024577046182, 0.6443061639895571, 0.0), # 70
(8.292055728514343, 7.061494123633789, 6.639500057155922, 7.170644102254428, 5.9968896420022055, 2.9140980439973583, 2.9170806638155953, 2.4196386221612562, 3.1214459228776104, 1.3853920718685282, 1.0780249827711816, 0.613010195814181, 0.0, 8.095231910150892, 6.743112153955991, 5.390124913855908, 4.1561762156055835, 6.242891845755221, 3.387494071025759, 2.9170806638155953, 2.081498602855256, 2.9984448210011028, 2.3902147007514767, 1.3279000114311843, 0.6419540112394354, 0.0), # 71
(8.286991304347827, 7.035174193548387, 6.631291666666667, 7.161158152173913, 5.994901960784313, 2.9124666666666674, 2.907361344537815, 2.408666666666667, 3.1177, 1.3811858823529415, 1.0761362041467308, 0.6118947368421054, 0.0, 8.0921875, 6.730842105263158, 5.380681020733653, 4.143557647058824, 6.2354, 3.3721333333333336, 2.907361344537815, 2.080333333333334, 2.9974509803921565, 2.3870527173913048, 1.3262583333333333, 0.6395612903225807, 0.0), # 72
(8.280752000954257, 7.008423200141599, 6.622889860539551, 7.151206984702094, 5.992449501062428, 2.9104614438855867, 2.897510338017237, 2.397738606919677, 3.113808123761622, 1.376965439629899, 1.0740926142516787, 0.6107492439374613, 0.0, 8.0884332133059, 6.7182416833120735, 5.370463071258393, 4.130896318889696, 6.227616247523244, 3.356834049687548, 2.897510338017237, 2.0789010313468475, 2.996224750531214, 2.383735661567365, 1.3245779721079105, 0.6371293818310545, 0.0), # 73
(8.273374461740323, 6.981256329926103, 6.614297382258802, 7.140803160225442, 5.989545173350547, 2.908096032108927, 2.887531886279889, 2.3868581008992535, 3.1097754153330284, 1.3727308469835127, 1.0718999783409144, 0.6095744872010845, 0.0, 8.083989626200276, 6.705319359211929, 5.359499891704571, 4.118192540950537, 6.219550830666057, 3.3416013412589547, 2.887531886279889, 2.0772114515063764, 2.9947725866752735, 2.380267720075148, 1.3228594764517605, 0.6346596663569185, 0.0), # 74
(8.26489533011272, 6.953688769414575, 6.605516975308642, 7.129959239130434, 5.986201888162673, 2.905384087791496, 2.8774302313518003, 2.376028806584362, 3.1056069958847736, 1.3684822076978942, 1.069564061669325, 0.6083712367338099, 0.0, 8.078877314814816, 6.692083604071907, 5.347820308346624, 4.105446623093682, 6.211213991769547, 3.3264403292181073, 2.8774302313518003, 2.0752743484224974, 2.9931009440813363, 2.3766530797101453, 1.3211033950617284, 0.6321535244922342, 0.0), # 75
(8.255351249478142, 6.925735705119696, 6.596551383173297, 7.118687781803542, 5.982432556012803, 2.9023392673881023, 2.8672096152589983, 2.365254381953971, 3.1013079865874102, 1.364219625057156, 1.067090629491799, 0.6071402626364722, 0.0, 8.073116855281206, 6.678542889001194, 5.335453147458995, 4.092658875171468, 6.2026159731748205, 3.311356134735559, 2.8672096152589983, 2.0730994767057873, 2.9912162780064016, 2.372895927267848, 1.3193102766346596, 0.6296123368290635, 0.0), # 76
(8.244778863243274, 6.897412323554141, 6.587403349336991, 7.10700134863124, 5.9782500874149385, 2.8989752273535543, 2.8568742800275118, 2.354538484987045, 3.0968835086114925, 1.3599432023454103, 1.0644854470632252, 0.6058823350099072, 0.0, 8.06672882373114, 6.664705685108978, 5.322427235316125, 4.07982960703623, 6.193767017222985, 3.296353878981863, 2.8568742800275118, 2.0706965909668247, 2.9891250437074692, 2.369000449543747, 1.3174806698673982, 0.6270374839594675, 0.0), # 77
(8.233214814814815, 6.8687338112305865, 6.578075617283951, 7.0949125, 5.97366739288308, 2.895305624142661, 2.84642846768337, 2.343884773662552, 3.092338683127571, 1.3556530428467686, 1.0617542796384905, 0.6045982239549493, 0.0, 8.059733796296298, 6.650580463504441, 5.308771398192452, 4.066959128540305, 6.184677366255142, 3.2814386831275724, 2.84642846768337, 2.0680754458161865, 2.98683369644154, 2.364970833333334, 1.3156151234567903, 0.624430346475508, 0.0), # 78
(8.220695747599452, 6.8397153546617115, 6.5685709304984, 7.082433796296296, 5.968697382931225, 2.891344114210232, 2.8358764202526006, 2.333296905959458, 3.0876786313062032, 1.351349249845343, 1.058902892472483, 0.6032886995724337, 0.0, 8.052152349108367, 6.63617569529677, 5.294514462362415, 4.0540477495360285, 6.1753572626124065, 3.266615668343241, 2.8358764202526006, 2.0652457958644517, 2.9843486914656125, 2.3608112654320994, 1.3137141860996802, 0.6217923049692465, 0.0), # 79
(8.207258305003878, 6.810372140360193, 6.558892032464563, 7.069577797906602, 5.963352968073375, 2.8871043540110755, 2.8252223797612324, 2.3227785398567296, 3.0829084743179394, 1.3470319266252455, 1.055937050820092, 0.6019545319631957, 0.0, 8.04400505829904, 6.621499851595152, 5.2796852541004595, 4.041095779875736, 6.165816948635879, 3.2518899557994216, 2.8252223797612324, 2.0622173957221968, 2.9816764840366874, 2.3565259326355346, 1.3117784064929128, 0.619124740032745, 0.0), # 80
(8.192939130434784, 6.78071935483871, 6.5490416666666675, 7.056357065217393, 5.957647058823529, 2.8826000000000005, 2.8144705882352943, 2.3123333333333336, 3.078033333333333, 1.3427011764705885, 1.0528625199362043, 0.6005964912280702, 0.0, 8.0353125, 6.606561403508772, 5.264312599681022, 4.028103529411765, 6.156066666666666, 3.237266666666667, 2.8144705882352943, 2.059, 2.9788235294117644, 2.3521190217391315, 1.3098083333333335, 0.6164290322580647, 0.0), # 81
(8.177774867298861, 6.750772184609939, 6.539022576588936, 7.042784158615137, 5.951592565695688, 2.877844708631815, 2.8036252877008145, 2.301964944368237, 3.0730583295229383, 1.3383571026654835, 1.0496850650757086, 0.5992153474678925, 0.0, 8.026095250342937, 6.5913688221468165, 5.248425325378542, 4.0150713079964495, 6.146116659045877, 3.2227509221155315, 2.8036252877008145, 2.0556033633084394, 2.975796282847844, 2.3475947195383795, 1.3078045153177873, 0.6137065622372673, 0.0), # 82
(8.161802159002804, 6.720545816186557, 6.528837505715592, 7.028871638486312, 5.945202399203851, 2.8728521363613275, 2.7926907201838214, 2.2916770309404058, 3.067988584057308, 1.3339998084940425, 1.0464104514934927, 0.5978118707834975, 0.0, 8.016373885459535, 6.575930578618472, 5.232052257467463, 4.001999425482127, 6.135977168114616, 3.208347843316568, 2.7926907201838214, 2.052037240258091, 2.9726011996019257, 2.3429572128287712, 1.3057675011431187, 0.6109587105624144, 0.0), # 83
(8.145057648953301, 6.690055436081242, 6.518489197530864, 7.014632065217392, 5.938489469862018, 2.867635939643347, 2.7816711277103434, 2.2814732510288067, 3.0628292181069954, 1.329629397240378, 1.0430444444444447, 0.5963868312757202, 0.0, 8.006168981481482, 6.560255144032922, 5.215222222222223, 3.9888881917211334, 6.125658436213991, 3.194062551440329, 2.7816711277103434, 2.0483113854595336, 2.969244734931009, 2.338210688405798, 1.303697839506173, 0.6081868578255676, 0.0), # 84
(8.127577980557048, 6.659316230806673, 6.507980395518976, 7.000077999194847, 5.931466688184191, 2.862209774932684, 2.77057075230641, 2.2713572626124074, 3.057585352842554, 1.3252459721886014, 1.0395928091834528, 0.5949409990453959, 0.0, 7.995501114540467, 6.544350989499354, 5.197964045917263, 3.9757379165658033, 6.115170705685108, 3.17990016765737, 2.77057075230641, 2.0444355535233454, 2.9657333440920954, 2.3333593330649496, 1.3015960791037953, 0.6053923846187885, 0.0), # 85
(8.10939979722073, 6.6283433868755255, 6.497313843164153, 6.985222000805154, 5.924146964684365, 2.8565872986841443, 2.7593938359980483, 2.2613327236701726, 3.0522621094345377, 1.320849636622825, 1.0360613109654049, 0.5934751441933597, 0.0, 7.984390860768176, 6.528226586126955, 5.180306554827023, 3.9625489098684747, 6.104524218869075, 3.1658658131382413, 2.7593938359980483, 2.040419499060103, 2.9620734823421824, 2.3284073336017186, 1.2994627686328306, 0.6025766715341389, 0.0), # 86
(8.090559742351045, 6.597152090800478, 6.486492283950617, 6.970076630434782, 5.9165432098765445, 2.8507821673525378, 2.7481446208112876, 2.2514032921810703, 3.0468646090534985, 1.3164404938271608, 1.0324557150451887, 0.5919900368204463, 0.0, 7.972858796296297, 6.511890405024908, 5.162278575225944, 3.9493214814814817, 6.093729218106997, 3.1519646090534983, 2.7481446208112876, 2.036272976680384, 2.9582716049382722, 2.3233588768115947, 1.2972984567901236, 0.5997410991636799, 0.0), # 87
(8.071094459354686, 6.565757529094207, 6.475518461362597, 6.95465444847021, 5.908668334274726, 2.8448080373926743, 2.7368273487721564, 2.2415726261240665, 3.0413979728699894, 1.3120186470857205, 1.0287817866776934, 0.5904864470274911, 0.0, 7.960925497256517, 6.495350917302401, 5.143908933388466, 3.9360559412571607, 6.082795945739979, 3.138201676573693, 2.7368273487721564, 2.032005740994767, 2.954334167137363, 2.3182181494900704, 1.2951036922725196, 0.5968870480994735, 0.0), # 88
(8.051040591638339, 6.534174888269392, 6.464395118884317, 6.938968015297907, 5.90053524839291, 2.8386785652593614, 2.7254462619066833, 2.2318443834781285, 3.035867322054565, 1.3075841996826167, 1.025045291117806, 0.5889651449153291, 0.0, 7.948611539780521, 6.478616594068619, 5.125226455589029, 3.9227525990478496, 6.07173464410913, 3.12458213686938, 2.7254462619066833, 2.0276275466138296, 2.950267624196455, 2.312989338432636, 1.2928790237768635, 0.5940158989335812, 0.0), # 89
(8.030434782608696, 6.502419354838709, 6.453125000000001, 6.923029891304349, 5.892156862745098, 2.8324074074074077, 2.7140056022408965, 2.2222222222222223, 3.030277777777778, 1.303137254901961, 1.021251993620415, 0.5874269005847954, 0.0, 7.9359375000000005, 6.461695906432748, 5.106259968102074, 3.9094117647058826, 6.060555555555556, 3.111111111111111, 2.7140056022408965, 2.0231481481481484, 2.946078431372549, 2.3076766304347833, 1.2906250000000001, 0.5911290322580646, 0.0), # 90
(8.00931367567245, 6.470506115314836, 6.441710848193873, 6.906852636876007, 5.883546087845287, 2.826008220291622, 2.7025096118008247, 2.2127098003353147, 3.024634461210182, 1.2986779160278654, 1.0174076594404082, 0.585872484136725, 0.0, 7.922923954046638, 6.444597325503974, 5.0870382972020405, 3.8960337480835956, 6.049268922420364, 3.097793720469441, 2.7025096118008247, 2.0185773002083014, 2.9417730439226437, 2.302284212292003, 1.2883421696387747, 0.5882278286649852, 0.0), # 91
(7.9877139142362985, 6.438450356210453, 6.43015540695016, 6.890448812399356, 5.874715834207482, 2.8194946603668143, 2.690962532612497, 2.203310775796373, 3.018942493522329, 1.2942062863444421, 1.013518053832674, 0.5843026656719533, 0.0, 7.909591478052126, 6.427329322391485, 5.067590269163369, 3.8826188590333257, 6.037884987044658, 3.0846350861149223, 2.690962532612497, 2.0139247574048675, 2.937357917103741, 2.296816270799786, 1.2860310813900322, 0.5853136687464049, 0.0), # 92
(7.965672141706924, 6.406267264038233, 6.418461419753087, 6.873830978260871, 5.865679012345678, 2.8128803840877916, 2.6793686067019404, 2.1940288065843623, 3.013206995884774, 1.2897224691358027, 1.0095889420521, 0.5827182152913147, 0.0, 7.895960648148147, 6.409900368204461, 5.0479447102605, 3.8691674074074074, 6.026413991769548, 3.0716403292181074, 2.6793686067019404, 2.0092002743484225, 2.932839506172839, 2.291276992753624, 1.2836922839506175, 0.5823879330943849, 0.0), # 93
(7.943225001491024, 6.373972025310855, 6.406631630086878, 6.857011694847022, 5.856448532773877, 2.806179047909364, 2.6677320760951844, 2.1848675506782507, 3.007433089468069, 1.2852265676860597, 1.005626089353575, 0.581119903095645, 0.0, 7.882052040466393, 6.392318934052094, 5.028130446767873, 3.855679703058178, 6.014866178936138, 3.058814570949551, 2.6677320760951844, 2.0044136056495456, 2.9282242663869384, 2.2856705649490077, 1.2813263260173757, 0.5794520023009869, 0.0), # 94
(7.920409136995288, 6.341579826540998, 6.394668781435757, 6.840003522544284, 5.847037306006079, 2.799404308286339, 2.6560571828182575, 2.1758306660570037, 3.001625895442768, 1.2807186852793244, 1.0016352609919863, 0.5795084991857787, 0.0, 7.867886231138546, 6.374593491043566, 5.008176304959932, 3.8421560558379726, 6.003251790885536, 3.046162932479805, 2.6560571828182575, 1.9995745059188135, 2.9235186530030397, 2.2800011741814283, 1.2789337562871517, 0.5765072569582727, 0.0), # 95
(7.89726119162641, 6.30910585424134, 6.382575617283951, 6.8228190217391305, 5.8374582425562815, 2.7925698216735255, 2.6443481688971886, 2.1669218106995887, 2.995790534979424, 1.27619892519971, 0.9976222222222224, 0.5778847736625516, 0.0, 7.853483796296297, 6.356732510288067, 4.988111111111112, 3.828596775599129, 5.991581069958848, 3.0336905349794243, 2.6443481688971886, 1.9946927297668038, 2.9187291212781408, 2.2742730072463773, 1.2765151234567904, 0.5735550776583037, 0.0), # 96
(7.873817808791078, 6.276565294924556, 6.370354881115684, 6.805470752818035, 5.827724252938488, 2.7856892445257326, 2.6326092763580053, 2.1581446425849724, 2.9899321292485905, 1.2716673907313272, 0.9935927382991712, 0.576249496626798, 0.0, 7.838865312071332, 6.338744462894778, 4.967963691495855, 3.8150021721939806, 5.979864258497181, 3.0214024996189615, 2.6326092763580053, 1.9897780318040947, 2.913862126469244, 2.2684902509393456, 1.2740709762231368, 0.5705968449931414, 0.0), # 97
(7.850115631895988, 6.243973335103323, 6.35800931641518, 6.787971276167473, 5.817848247666694, 2.7787762332977706, 2.6208447472267373, 2.1495028196921204, 2.9840557994208194, 1.2671241851582886, 0.9895525744777209, 0.5746034381793533, 0.0, 7.824051354595337, 6.320637819972885, 4.947762872388605, 3.801372555474865, 5.968111598841639, 3.0093039475689687, 2.6208447472267373, 1.9848401666412645, 2.908924123833347, 2.2626570920558247, 1.2716018632830361, 0.5676339395548476, 0.0), # 98
(7.826191304347827, 6.211345161290323, 6.3455416666666675, 6.770333152173913, 5.807843137254903, 2.7718444444444446, 2.6090588235294123, 2.1410000000000005, 2.9781666666666666, 1.2625694117647062, 0.9855074960127594, 0.5729473684210528, 0.0, 7.8090625000000005, 6.302421052631579, 4.927537480063797, 3.787708235294118, 5.956333333333333, 2.9974000000000007, 2.6090588235294123, 1.9798888888888888, 2.9039215686274513, 2.256777717391305, 1.2691083333333337, 0.564667741935484, 0.0), # 99
(7.80208146955329, 6.178695959998229, 6.332954675354367, 6.752568941223833, 5.797721832217111, 2.764907534420566, 2.597255747292058, 2.1326398414875785, 2.9722698521566837, 1.258003173834692, 0.9814632681591747, 0.5712820574527312, 0.0, 7.79391932441701, 6.284102631980042, 4.907316340795873, 3.774009521504075, 5.944539704313367, 2.98569577808261, 2.597255747292058, 1.9749339531575472, 2.8988609161085557, 2.250856313741278, 1.2665909350708735, 0.5616996327271119, 0.0), # 100
(7.777822770919068, 6.1460409177397235, 6.320251085962506, 6.734691203703704, 5.787497243067323, 2.757979159680943, 2.585439760540705, 2.124426002133821, 2.9663704770614236, 1.253425574652358, 0.9774256561718551, 0.5696082753752236, 0.0, 7.7786424039780515, 6.265691029127459, 4.887128280859275, 3.760276723957073, 5.932740954122847, 2.9741964029873493, 2.585439760540705, 1.9699851140578162, 2.8937486215336614, 2.244897067901235, 1.2640502171925014, 0.5587309925217931, 0.0), # 101
(7.753451851851853, 6.11339522102748, 6.307433641975309, 6.716712500000001, 5.7771822803195345, 2.7510729766803848, 2.5736151053013803, 2.1163621399176957, 2.9604736625514403, 1.248836717501816, 0.9734004253056887, 0.5679267922893655, 0.0, 7.763252314814816, 6.24719471518302, 4.867002126528443, 3.746510152505447, 5.920947325102881, 2.962906995884774, 2.5736151053013803, 1.965052126200275, 2.8885911401597673, 2.2389041666666674, 1.261486728395062, 0.5557632019115891, 0.0), # 102
(7.729005355758336, 6.080774056374176, 6.294505086877001, 6.698645390499196, 5.766789854487748, 2.7442026418736987, 2.561786023600112, 2.1084519128181682, 2.9545845297972866, 1.2442367056671781, 0.9693933408155633, 0.5662383782959916, 0.0, 7.747769633058984, 6.228622161255906, 4.846966704077817, 3.7327101170015338, 5.909169059594573, 2.951832677945436, 2.561786023600112, 1.960144744195499, 2.883394927243874, 2.2328817968330656, 1.2589010173754003, 0.5527976414885616, 0.0), # 103
(7.704519926045208, 6.048192610292491, 6.281468164151806, 6.680502435587762, 5.756332876085962, 2.7373818117156943, 2.5499567574629305, 2.1006989788142056, 2.948708199969517, 1.2396256424325565, 0.9654101679563669, 0.564543803495937, 0.0, 7.732214934842251, 6.209981838455306, 4.827050839781834, 3.7188769272976687, 5.897416399939034, 2.9409785703398876, 2.5499567574629305, 1.9552727226540672, 2.878166438042981, 2.2268341451959213, 1.2562936328303613, 0.549835691844772, 0.0), # 104
(7.680032206119162, 6.015666069295101, 6.268325617283951, 6.662296195652173, 5.745824255628177, 2.7306241426611804, 2.5381315489158633, 2.0931069958847743, 2.942849794238683, 1.235003631082063, 0.961456671982988, 0.562843837990037, 0.0, 7.716608796296296, 6.1912822178904054, 4.80728335991494, 3.705010893246188, 5.885699588477366, 2.930349794238684, 2.5381315489158633, 1.9504458161865572, 2.8729121278140886, 2.220765398550725, 1.2536651234567902, 0.546878733572282, 0.0), # 105
(7.655578839386891, 5.983209619894685, 6.255080189757659, 6.644039231078905, 5.735276903628392, 2.723943291164965, 2.526314639984938, 2.0856796220088403, 2.9370144337753388, 1.2303707748998092, 0.9575386181503142, 0.5611392518791264, 0.0, 7.700971793552812, 6.172531770670389, 4.787693090751571, 3.691112324699427, 5.8740288675506775, 2.9199514708123764, 2.526314639984938, 1.9456737794035461, 2.867638451814196, 2.214679743692969, 1.2510160379515318, 0.5439281472631533, 0.0), # 106
(7.631196469255085, 5.950838448603921, 6.241734625057157, 6.625744102254428, 5.724703730600607, 2.7173529136818577, 2.5145102726961848, 2.0784205151653716, 2.931207239750038, 1.225727177169908, 0.9536617717132337, 0.5594308152640404, 0.0, 7.685324502743484, 6.153738967904443, 4.768308858566169, 3.6771815315097234, 5.862414479500076, 2.9097887212315205, 2.5145102726961848, 1.9409663669156128, 2.8623518653003037, 2.208581367418143, 1.2483469250114314, 0.5409853135094475, 0.0), # 107
(7.606921739130435, 5.918567741935485, 6.228291666666668, 6.607423369565218, 5.714117647058822, 2.7108666666666674, 2.5027226890756302, 2.0713333333333335, 2.9254333333333333, 1.221072941176471, 0.9498318979266349, 0.5577192982456142, 0.0, 7.669687500000001, 6.134912280701755, 4.749159489633174, 3.6632188235294123, 5.850866666666667, 2.899866666666667, 2.5027226890756302, 1.9363333333333337, 2.857058823529411, 2.20247445652174, 1.2456583333333338, 0.538051612903226, 0.0), # 108
(7.582791292419635, 5.886412686402053, 6.214754058070417, 6.589089593397745, 5.70353156351704, 2.7044982065742014, 2.490956131149305, 2.064421734491694, 2.9196978356957777, 1.2164081702036098, 0.9460547620454054, 0.5560054709246826, 0.0, 7.654081361454047, 6.116060180171507, 4.730273810227027, 3.6492245106108285, 5.839395671391555, 2.8901904282883715, 2.490956131149305, 1.9317844332672867, 2.85176578175852, 2.196363197799249, 1.2429508116140835, 0.5351284260365504, 0.0), # 109
(7.558841772529373, 5.854388468516307, 6.201124542752631, 6.570755334138486, 5.692958390489256, 2.6982611898592697, 2.4792148409432357, 2.0576893766194178, 2.9140058680079255, 1.211732967535437, 0.9423361293244336, 0.554290103402081, 0.0, 7.638526663237312, 6.0971911374228895, 4.711680646622168, 3.63519890260631, 5.828011736015851, 2.880765127267185, 2.4792148409432357, 1.9273294213280499, 2.846479195244628, 2.1902517780461626, 1.2402249085505264, 0.5322171335014826, 0.0), # 110
(7.535109822866345, 5.82251027479092, 6.187405864197532, 6.552433152173913, 5.68241103848947, 2.6921692729766806, 2.4675030604834527, 2.0511399176954734, 2.9083625514403293, 1.2070474364560642, 0.9386817650186072, 0.5525739657786443, 0.0, 7.623043981481482, 6.078313623565086, 4.693408825093036, 3.621142309368192, 5.816725102880659, 2.871595884773663, 2.4675030604834527, 1.9229780521262005, 2.841205519244735, 2.1841443840579715, 1.2374811728395065, 0.5293191158900837, 0.0), # 111
(7.51163208683724, 5.790793291738572, 6.173600765889348, 6.5341356078905, 5.671902418031685, 2.686236112381243, 2.4558250317959835, 2.0447770156988265, 2.9027730071635416, 1.2023516802496035, 0.9350974343828147, 0.5508578281552075, 0.0, 7.607653892318244, 6.059436109707281, 4.675487171914074, 3.6070550407488096, 5.805546014327083, 2.862687821978357, 2.4558250317959835, 1.9187400802723165, 2.8359512090158425, 2.178045202630167, 1.2347201531778695, 0.5264357537944157, 0.0), # 112
(7.488403378962436, 5.759305653776365, 6.159745218834713, 6.515900329495224, 5.661427029425976, 2.6804725589667733, 2.444210385462708, 2.038617522926869, 2.8972567496689656, 1.1976609473225461, 0.9315898541537156, 0.549146195766962, 0.0, 7.592355120674577, 6.0406081534365805, 4.657949270768578, 3.592982841967638, 5.794513499337931, 2.8540645320976163, 2.444210385462708, 1.914623256404838, 2.830713514712988, 2.1719667764984085, 1.2319490437669427, 0.5235732412523969, 0.0), # 113
(7.465184718320052, 5.728357934585393, 6.146030450014413, 6.497873652766401, 5.6508764557687075, 2.674865483980621, 2.432807283364232, 2.0327370865017067, 2.891898409523483, 1.1930630335825567, 0.9281659116150931, 0.5474608114741984, 0.0, 7.577020331328028, 6.022068926216181, 4.640829558075465, 3.5791891007476693, 5.783796819046966, 2.8458319211023895, 2.432807283364232, 1.9106182028433005, 2.8254382278843537, 2.1659578842554676, 1.2292060900028827, 0.5207598122350358, 0.0), # 114
(7.441907922403196, 5.697961279034234, 6.132464621804878, 6.480050703109068, 5.640217428207254, 2.669400305832757, 2.421623860076625, 2.027134218092903, 2.886699994311677, 1.1885650655976157, 0.9248206015236127, 0.5458025055039235, 0.0, 7.561605305328301, 6.003827560543158, 4.6241030076180625, 3.5656951967928463, 5.773399988623354, 2.8379879053300643, 2.421623860076625, 1.9067145041662548, 2.820108714103627, 2.1600169010363564, 1.226492924360976, 0.5179964799122032, 0.0), # 115
(7.418543898590108, 5.668071406280581, 6.119021459989249, 6.462399690159842, 5.629433880738015, 2.664064142733979, 2.4106419270111576, 2.021793437632998, 2.8816483571274216, 1.1841586716899097, 0.9215474575028644, 0.5441682131658231, 0.0, 7.546085807804713, 5.985850344824053, 4.607737287514321, 3.5524760150697285, 5.763296714254843, 2.8305108126861973, 2.4106419270111576, 1.9029029590956992, 2.8147169403690073, 2.154133230053281, 1.22380429199785, 0.5152792187527803, 0.0), # 116
(7.395063554259018, 5.638644035482129, 6.105674690350658, 6.444888823555345, 5.6185097473573915, 2.6588441128950824, 2.399843295579101, 2.0166992650545286, 2.8767303510645874, 1.179835480181626, 0.9183400131764379, 0.5425548697695834, 0.0, 7.53043760388658, 5.968103567465417, 4.591700065882189, 3.5395064405448773, 5.753460702129175, 2.8233789710763397, 2.399843295579101, 1.8991743663536302, 2.8092548736786958, 2.148296274518449, 1.2211349380701317, 0.5126040032256481, 0.0), # 117
(7.371437796788169, 5.60963488579657, 6.092398038672245, 6.427486312932199, 5.607428962061783, 2.6537273345268653, 2.3892097771917262, 2.0118362202900326, 2.871932829217049, 1.175587119394952, 0.9151918021679234, 0.5409594106248901, 0.0, 7.51463645870322, 5.950553516873789, 4.575959010839616, 3.5267613581848556, 5.743865658434098, 2.8165707084060454, 2.3892097771917262, 1.8955195246620464, 2.8037144810308914, 2.142495437644067, 1.218479607734449, 0.5099668077996883, 0.0), # 118
(7.347637533555794, 5.580999676381602, 6.079165230737149, 6.410160367927023, 5.5961754588475845, 2.648700925840122, 2.3787231832603024, 2.0071888232720485, 2.867242644678678, 1.1714052176520746, 0.9120963581009105, 0.5393787710414291, 0.0, 7.498658137383946, 5.933166481455719, 4.560481790504553, 3.5142156529562234, 5.734485289357356, 2.810064352580868, 2.3787231832603024, 1.8919292327429442, 2.7980877294237922, 2.1367201226423416, 1.21583304614743, 0.507363606943782, 0.0), # 119
(7.323633671940129, 5.552694126394916, 6.065949992328509, 6.392879198176436, 5.584733171711198, 2.6437520050456507, 2.3683653251961014, 2.0027415939331146, 2.8626466505433488, 1.1672814032751813, 0.909047214598989, 0.5378098863288866, 0.0, 7.482478405058078, 5.915908749617751, 4.545236072994944, 3.501844209825543, 5.7252933010866975, 2.80383823150636, 2.3683653251961014, 1.8883942893183219, 2.792366585855599, 2.1309597327254792, 1.2131899984657017, 0.5047903751268107, 0.0), # 120
(7.299397119319415, 5.524673954994208, 6.052726049229459, 6.3756110133170605, 5.573086034649023, 2.638867690354248, 2.358118014410392, 1.9984790522057692, 2.858131699904933, 1.1632073045864595, 0.906037905285749, 0.5362496917969483, 0.0, 7.466073026854929, 5.898746609766429, 4.530189526428744, 3.489621913759378, 5.716263399809866, 2.797870673088077, 2.358118014410392, 1.884905493110177, 2.7865430173245116, 2.1252036711056874, 1.2105452098458918, 0.5022430868176554, 0.0), # 121
(7.274898783071883, 5.496894881337171, 6.039467127223141, 6.358324022985514, 5.561217981657458, 2.634035099976709, 2.347963062314447, 1.9943857180225497, 2.8536846458573035, 1.1591745499080957, 0.9030619637847803, 0.5346951227553002, 0.0, 7.4494177679038165, 5.8816463503083005, 4.515309818923901, 3.4775236497242865, 5.707369291714607, 2.7921400052315697, 2.347963062314447, 1.8814536428405064, 2.780608990828729, 2.119441340995172, 1.2078934254446283, 0.49971771648519747, 0.0), # 122
(7.250109570575775, 5.469312624581501, 6.026146952092692, 6.340986436818417, 5.549112946732902, 2.629241352123832, 2.3378822803195356, 1.9904461113159944, 2.8492923414943343, 1.1551747675622777, 0.9001129237196728, 0.5331431145136282, 0.0, 7.432488393334058, 5.864574259649909, 4.500564618598363, 3.4655243026868323, 5.698584682988669, 2.7866245558423923, 2.3378822803195356, 1.8780295372313083, 2.774556473366451, 2.1136621456061393, 1.2052293904185383, 0.49721023859831837, 0.0), # 123
(7.225000389209324, 5.441882903884891, 6.012739249621247, 6.323566464452393, 5.536754863871753, 2.624473565006412, 2.327857479836928, 1.9866447520186423, 2.844941639909897, 1.1511995858711925, 0.897184318714016, 0.5315906023816185, 0.0, 7.4152606682749695, 5.847496626197802, 4.4859215935700805, 3.4535987576135767, 5.689883279819794, 2.781302652826099, 2.327857479836928, 1.87462397500458, 2.7683774319358765, 2.107855488150798, 1.2025478499242495, 0.49471662762589924, 0.0), # 124
(7.199542146350767, 5.414561438405035, 5.99921774559195, 6.306032315524057, 5.524127667070411, 2.619718856835246, 2.3178704722778956, 1.9829661600630304, 2.840619394197865, 1.147240633157027, 0.8942696823914004, 0.5300345216689567, 0.0, 7.397710357855863, 5.8303797383585225, 4.471348411957002, 3.4417218994710805, 5.68123878839573, 2.7761526240882426, 2.3178704722778956, 1.8712277548823186, 2.7620638335352057, 2.1020107718413525, 1.19984354911839, 0.49223285803682143, 0.0), # 125
(7.1737057493783425, 5.387303947299629, 5.985556165787933, 6.288352199670033, 5.511215290325276, 2.614964345821132, 2.307903069053708, 1.9793948553816976, 2.8363124574521112, 1.1432895377419687, 0.8913625483754153, 0.5284718076853291, 0.0, 7.379813227206063, 5.813189884538619, 4.4568127418770755, 3.4298686132259055, 5.6726249149042225, 2.7711527975343766, 2.307903069053708, 1.8678316755865225, 2.755607645162638, 2.0961173998900113, 1.1971112331575866, 0.4897549042999664, 0.0), # 126
(7.147462105670289, 5.360066149726364, 5.9717282359923365, 6.27049432652694, 5.498001667632746, 2.610197150174864, 2.2979370815756375, 1.975915357907182, 2.832007682766508, 1.139337927948205, 0.8884564502896507, 0.5268993957404212, 0.0, 7.361545041454879, 5.795893353144632, 4.442282251448253, 3.4180137838446143, 5.664015365533016, 2.766281501070055, 2.2979370815756375, 1.8644265358391885, 2.749000833816373, 2.0901647755089803, 1.1943456471984675, 0.487278740884215, 0.0), # 127
(7.120782122604837, 5.332803764842939, 5.957707681988301, 6.252426905731399, 5.484470732989221, 2.6054043881072406, 2.287954321254953, 1.9725121875720208, 2.827691923234929, 1.1353774320979229, 0.8855449217576967, 0.5253142211439193, 0.0, 7.34288156573163, 5.778456432583111, 4.427724608788483, 3.4061322962937677, 5.655383846469858, 2.7615170626008294, 2.287954321254953, 1.8610031343623146, 2.7422353664946106, 2.084142301910467, 1.1915415363976603, 0.4848003422584491, 0.0), # 128
(7.093636707560226, 5.305472511807044, 5.9434682295589605, 6.2341181469200295, 5.4706064203911, 2.600573177829058, 2.2779365995029255, 1.9691698643087534, 2.823352031951247, 1.1313996785133094, 0.882621496403143, 0.5237132192055092, 0.0, 7.323798565165631, 5.7608454112606, 4.413107482015715, 3.3941990355399274, 5.646704063902494, 2.756837810032255, 2.2779365995029255, 1.8575522698778983, 2.73530321019555, 2.078039382306677, 1.188693645911792, 0.48231568289154947, 0.0), # 129
(7.065996767914694, 5.2780281097763755, 5.9289836044874535, 6.215536259729452, 5.45639266383478, 2.595690637551111, 2.267865727730825, 1.9658729080499169, 2.818974862009333, 1.1273962955165517, 0.8796797078495794, 0.522093325234877, 0.0, 7.3042718048861985, 5.743026577583645, 4.398398539247896, 3.3821888865496543, 5.637949724018666, 2.7522220712698835, 2.267865727730825, 1.8540647411079363, 2.72819633191739, 2.0718454199098177, 1.1857967208974907, 0.4798207372523978, 0.0), # 130
(7.037833211046475, 5.250426277908626, 5.914227532556921, 6.196649453796286, 5.441813397316663, 2.590743885484198, 2.2577235173499237, 1.9626058387280498, 2.814547266503063, 1.1233589114298372, 0.8767130897205959, 0.5204514745417084, 0.0, 7.2842770500226495, 5.724966219958791, 4.383565448602979, 3.370076734289511, 5.629094533006126, 2.74764817421927, 2.2577235173499237, 1.850531346774427, 2.7209066986583315, 2.0655498179320957, 1.1828455065113843, 0.4773114798098752, 0.0), # 131
(7.009116944333808, 5.222622735361492, 5.8991737395504975, 6.1774259387571515, 5.4268525548331485, 2.5857200398391145, 2.24749177977149, 1.959353176275691, 2.8100560985263074, 1.119279154575353, 0.8737151756397821, 0.5187846024356896, 0.0, 7.263790065704301, 5.706630626792584, 4.36857587819891, 3.3578374637260584, 5.620112197052615, 2.7430944467859675, 2.24749177977149, 1.8469428855993675, 2.7134262774165743, 2.0591419795857178, 1.1798347479100997, 0.474783885032863, 0.0), # 132
(6.979818875154931, 5.194573201292665, 5.883795951251323, 6.1578339242486715, 5.411494070380632, 2.5806062188266576, 2.237152326406796, 1.9560994406253773, 2.80548821117294, 1.1151486532752868, 0.8706794992307283, 0.5170896442265063, 0.0, 7.242786617060469, 5.687986086491568, 4.353397496153641, 3.3454459598258595, 5.61097642234588, 2.7385392168755285, 2.237152326406796, 1.8432901563047555, 2.705747035190316, 2.052611308082891, 1.1767591902502648, 0.4722339273902424, 0.0), # 133
(6.949909910888076, 5.166233394859844, 5.868067893442536, 6.137841619907462, 5.395721877955516, 2.575389540657624, 2.2266869686671114, 1.9528291517096479, 2.8008304575368346, 1.1109590358518249, 0.8675995941170239, 0.5153635352238445, 0.0, 7.221242469220467, 5.668998887462289, 4.3379979705851195, 3.3328771075554737, 5.601660915073669, 2.7339608123935073, 2.2266869686671114, 1.8395639576125886, 2.697860938977758, 2.0459472066358213, 1.1736135786885074, 0.46965758135089497, 0.0), # 134
(6.919360958911483, 5.137559035220717, 5.851963291907273, 6.117417235370148, 5.379519911554198, 2.57005712354281, 2.2160775179637073, 1.9495268294610402, 2.796069690711861, 1.1067019306271555, 0.8644689939222592, 0.5136032107373902, 0.0, 7.199133387313616, 5.649635318111292, 4.322344969611295, 3.320105791881466, 5.592139381423722, 2.7293375612454565, 2.2160775179637073, 1.835755088244864, 2.689759955777099, 2.0391390784567163, 1.1703926583814546, 0.4670508213837017, 0.0), # 135
(6.888142926603388, 5.108505841532984, 5.835455872428673, 6.096528980273343, 5.362872105173076, 2.564596085693012, 2.205305785707854, 1.9461769938120925, 2.7911927637918947, 1.1023689659234648, 0.8612812322700237, 0.5118056060768296, 0.0, 7.176435136469229, 5.629861666845124, 4.306406161350118, 3.3071068977703937, 5.5823855275837895, 2.72464779133693, 2.205305785707854, 1.8318543469235802, 2.681436052586538, 2.0321763267577815, 1.1670911744857346, 0.46440962195754404, 0.0), # 136
(6.856226721342027, 5.079029532954335, 5.818519360789875, 6.075145064253675, 5.345762392808551, 2.558993545319026, 2.1943535833108223, 1.942764164695343, 2.7861865298708084, 1.0979517700629406, 0.8580298427839075, 0.5099676565518481, 0.0, 7.153123481816621, 5.609644222070328, 4.290149213919538, 3.293855310188821, 5.572373059741617, 2.7198698305734803, 2.1943535833108223, 1.8278525323707329, 2.6728811964042754, 2.0250483547512257, 1.1637038721579749, 0.46172995754130325, 0.0), # 137
(6.823583250505639, 5.0490858286424665, 5.801127482774012, 6.053233696947759, 5.3281747084570235, 2.5532366206316497, 2.1832027221838817, 1.9392728620433302, 2.781037842042475, 1.0934419713677697, 0.8547083590875004, 0.508086297472132, 0.0, 7.129174188485113, 5.58894927219345, 4.273541795437502, 3.280325914103308, 5.56207568408495, 2.7149820068606623, 2.1832027221838817, 1.8237404433083213, 2.6640873542285117, 2.017744565649253, 1.1602254965548024, 0.45900780260386065, 0.0), # 138
(6.790183421472455, 5.018630447755072, 5.783253964164227, 6.030763087992216, 5.3100929861148884, 2.547312429841679, 2.171835013738304, 1.9356876057885917, 2.775733553400766, 1.0888311981601397, 0.8513103148043922, 0.5061584641473672, 0.0, 7.104563021604015, 5.567743105621037, 4.256551574021961, 3.2664935944804183, 5.551467106801532, 2.709962648104028, 2.171835013738304, 1.8195088784583422, 2.6550464930574442, 2.0102543626640723, 1.1566507928328456, 0.4562391316140975, 0.0), # 139
(6.755998141620719, 4.987619109449845, 5.764872530743658, 6.007701447023667, 5.291501159778549, 2.5412080911599104, 2.1602322693853586, 1.9319929158636655, 2.770260517039555, 1.0841110787622374, 0.8478292435581727, 0.5041810918872395, 0.0, 7.079265746302652, 5.545992010759633, 4.2391462177908625, 3.2523332362867117, 5.54052103407911, 2.704790082209132, 2.1602322693853586, 1.8151486365427931, 2.6457505798892744, 2.0025671490078896, 1.1529745061487318, 0.45341991904089507, 0.0), # 140
(6.720998318328665, 4.956007532884482, 5.745956908295441, 5.984016983678732, 5.272383163444402, 2.5349107227971404, 2.148376300536318, 1.9281733122010902, 2.7646055860527143, 1.0792732414962505, 0.844258678972432, 0.502151116001435, 0.0, 7.053258127710331, 5.523662276015784, 4.221293394862159, 3.2378197244887508, 5.529211172105429, 2.6994426370815265, 2.148376300536318, 1.8106505162836717, 2.636191581722201, 1.994672327892911, 1.1491913816590882, 0.4505461393531348, 0.0), # 141
(6.685154858974525, 4.923751437216675, 5.726480822602714, 5.959677907594033, 5.252722931108846, 2.5284074429641663, 2.1362489186024507, 1.924213314733404, 2.7587556135341176, 1.0743093146843659, 0.8405921546707598, 0.5000654717996397, 0.0, 7.026515930956373, 5.500720189796036, 4.202960773353798, 3.222927944053097, 5.517511227068235, 2.6938986406267658, 2.1362489186024507, 1.806005316402976, 2.626361465554423, 1.9865593025313446, 1.1452961645205428, 0.4476137670196978, 0.0), # 142
(6.64843867093654, 4.890806541604119, 5.706417999448617, 5.934652428406185, 5.232504396768282, 2.521685369871783, 2.1238319349950276, 1.920097443393144, 2.7526974525776393, 1.0692109266487708, 0.8368232042767458, 0.4979210945915394, 0.0, 6.999014921170094, 5.477132040506932, 4.184116021383729, 3.207632779946312, 5.505394905155279, 2.6881364207504017, 2.1238319349950276, 1.8012038356227023, 2.616252198384141, 1.9782174761353954, 1.1412835998897235, 0.44461877650946546, 0.0), # 143
(6.610820661592948, 4.857128565204509, 5.685742164616285, 5.908908755751814, 5.2117114944191085, 2.5147316217307885, 2.1111071611253194, 1.9158102181128498, 2.746417956277149, 1.0639697057116522, 0.8329453614139802, 0.49571491968682, 0.0, 6.970730863480812, 5.452864116555019, 4.164726807069901, 3.191909117134956, 5.492835912554298, 2.6821343053579896, 2.1111071611253194, 1.796236872664849, 2.6058557472095543, 1.9696362519172719, 1.1371484329232573, 0.44155714229131915, 0.0), # 144
(6.572271738321982, 4.82267322717554, 5.6644270438888595, 5.882415099267537, 5.190328158057724, 2.507533316751979, 2.0980564084045974, 1.9113361588250588, 2.739903977726521, 1.0585772801951978, 0.8289521597060527, 0.4934438823951677, 0.0, 6.94163952301784, 5.4278827063468436, 4.144760798530264, 3.175731840585593, 5.479807955453042, 2.6758706223550823, 2.0980564084045974, 1.7910952262514135, 2.595164079028862, 1.9608050330891795, 1.132885408777772, 0.4384248388341401, 0.0), # 145
(6.5327628085018805, 4.787396246674904, 5.642446363049478, 5.855139668589976, 5.16833832168053, 2.5000775731461515, 2.084661488244132, 1.906659785462309, 2.7331423700196282, 1.0530252784215943, 0.8248371327765532, 0.4911049180262681, 0.0, 6.911716664910495, 5.402154098288948, 4.124185663882766, 3.1590758352647823, 5.4662847400392565, 2.669323699647233, 2.084661488244132, 1.7857696951043938, 2.584169160840265, 1.9517132228633256, 1.1284892726098958, 0.4352178406068095, 0.0), # 146
(6.49226477951088, 4.751253342860296, 5.619773847881273, 5.827050673355748, 5.145725919283921, 2.4923515091241004, 2.0709042120551926, 1.9017656179571385, 2.7261199862503442, 1.0473053287130294, 0.8205938142490716, 0.48869496188980743, 0.0, 6.8809380542880945, 5.375644580787881, 4.102969071245358, 3.1419159861390877, 5.4522399725006885, 2.662471865139994, 2.0709042120551926, 1.7802510779457859, 2.5728629596419603, 1.9423502244519164, 1.1239547695762548, 0.43193212207820875, 0.0), # 147
(6.450748558727217, 4.714200234889411, 5.596383224167389, 5.798116323201478, 5.1224748848643, 2.4843422428966253, 2.0567663912490506, 1.8966381762420859, 2.718823679512541, 1.0414090593916896, 0.8162157377471978, 0.48621094929547143, 0.0, 6.8492794562799535, 5.348320442250185, 4.081078688735989, 3.124227178175068, 5.437647359025082, 2.6552934467389204, 2.0567663912490506, 1.7745301734975893, 2.56123744243215, 1.9327054410671598, 1.1192766448334779, 0.42856365771721927, 0.0), # 148
(6.40818505352913, 4.676192641919942, 5.572248217690963, 5.768304827763782, 5.098569152418064, 2.4760368926745198, 2.0422298372369765, 1.8912619802496888, 2.71124030290009, 1.0353280987797628, 0.8116964368945213, 0.48364981555294617, 0.0, 6.81671663601539, 5.320147971082407, 4.058482184472607, 3.1059842963392876, 5.42248060580018, 2.6477667723495646, 2.0422298372369765, 1.7685977804817998, 2.549284576209032, 1.922768275921261, 1.1144496435381928, 0.42510842199272214, 0.0), # 149
(6.364545171294852, 4.6371862831095845, 5.54734255423513, 5.737584396679283, 5.0739926559416135, 2.467422576668583, 2.0272763614302405, 1.8856215499124855, 2.7033567095068674, 1.0290540751994355, 0.8070294453146325, 0.48100849597191764, 0.0, 6.783225358623717, 5.291093455691093, 4.035147226573162, 3.0871622255983056, 5.406713419013735, 2.63987016987748, 2.0272763614302405, 1.7624446976204164, 2.5369963279708068, 1.912528132226428, 1.1094685108470261, 0.4215623893735987, 0.0), # 150
(6.31979981940262, 4.597136877616033, 5.521639959583029, 5.705923239584598, 5.048729329431348, 2.4584864130896094, 2.011887775240113, 1.8797014051630145, 2.695159752426744, 1.0225786169728959, 0.8022082966311207, 0.4782839258620715, 0.0, 6.748781389234255, 5.261123184482786, 4.011041483155603, 3.067735850918687, 5.390319504853488, 2.6315819672282204, 2.011887775240113, 1.7560617236354352, 2.524364664715674, 1.9019744131948664, 1.1043279919166058, 0.41792153432873036, 0.0), # 151
(6.273919905230675, 4.55600014459698, 5.495114159517802, 5.673289566116352, 5.022763106883663, 2.4492155201483965, 1.996045890077866, 1.8734860659338137, 2.686636284753592, 1.0158933524223301, 0.7972265244675764, 0.475473040533094, 0.0, 6.713360492976318, 5.230203445864033, 3.9861326223378812, 3.04768005726699, 5.373272569507184, 2.622880492307339, 1.996045890077866, 1.7494396572488546, 2.5113815534418316, 1.8910965220387843, 1.0990228319035604, 0.4141818313269982, 0.0), # 152
(6.226876336157249, 4.5137318032101215, 5.467738879822579, 5.63965158591116, 4.996077922294963, 2.4395970160557408, 1.9797325173547677, 1.8669600521574208, 2.677773159581286, 1.008989909869926, 0.7920776624475889, 0.472572775294671, 0.0, 6.676938434979222, 5.19830052824138, 3.9603883122379444, 3.0269697296097773, 5.355546319162572, 2.6137440730203894, 1.9797325173547677, 1.742569297182672, 2.4980389611474814, 1.879883861970387, 1.093547775964516, 0.41033925483728384, 0.0), # 153
(6.178640019560583, 4.4702875726131515, 5.439487846280506, 5.604977508605646, 4.968657709661643, 2.429618019022439, 1.9629294684820913, 1.8601078837663743, 2.6685572300036977, 1.0018599176378709, 0.7867552441947484, 0.4695800654564884, 0.0, 6.639490980372286, 5.165380720021371, 3.9337762209737415, 3.005579752913612, 5.337114460007395, 2.604151037272924, 1.9629294684820913, 1.7354414421588849, 2.4843288548308213, 1.8683258362018824, 1.0878975692561013, 0.40638977932846837, 0.0), # 154
(6.129181862818909, 4.425623171963762, 5.410334784674718, 5.569235543836427, 4.940486402980104, 2.419265647259287, 1.9456185548711045, 1.852914080693212, 2.6589753491147006, 0.9944950040483511, 0.7812528033326445, 0.4664918463282322, 0.0, 6.600993894284821, 5.131410309610554, 3.906264016663222, 2.983485012145053, 5.317950698229401, 2.594079712970497, 1.9456185548711045, 1.7280468908994906, 2.470243201490052, 1.856411847945476, 1.0820669569349437, 0.402329379269433, 0.0), # 155
(6.078472773310465, 4.3796943204196515, 5.3802534207883514, 5.532393901240125, 4.911547936246746, 2.408527018977082, 1.92778158793308, 1.845363162870473, 2.649014370008167, 0.9868867974235548, 0.7755638734848673, 0.46330505321958826, 0.0, 6.561422941846148, 5.09635558541547, 3.8778193674243364, 2.960660392270664, 5.298028740016334, 2.5835084280186624, 1.92778158793308, 1.720376442126487, 2.455773968123373, 1.8441313004133755, 1.0760506841576702, 0.39815402912905923, 0.0), # 156
(6.02648365841349, 4.332456737138511, 5.349217480404546, 5.494420790453363, 4.881826243457965, 2.39738925238662, 1.9094003790792877, 1.8374396502306942, 2.63866114577797, 0.9790269260856685, 0.7696819882750067, 0.4600166214402426, 0.0, 6.520753888185581, 5.060182835842667, 3.848409941375033, 2.937080778257005, 5.27732229155594, 2.5724155103229718, 1.9094003790792877, 1.7124208945618713, 2.4409131217289826, 1.831473596817788, 1.0698434960809091, 0.3938597033762283, 0.0), # 157
(5.971744757124192, 4.28299895523299, 5.315727969268237, 5.453861748990747, 4.849963256464532, 2.3851447556146512, 1.890042688371143, 1.8285989841164574, 2.6271098910930926, 0.9706731832582289, 0.7634127670051923, 0.45650663761295607, 0.0, 6.477188687532276, 5.021573013742516, 3.817063835025962, 2.912019549774686, 5.254219782186185, 2.5600385777630406, 1.890042688371143, 1.7036748254390366, 2.424981628232266, 1.8179539163302492, 1.0631455938536476, 0.38936354138481727, 0.0), # 158
(5.9058294135827225, 4.226247901039617, 5.271158545601992, 5.402386295273073, 4.808102031883535, 2.3677218357366487, 1.8672851053542865, 1.8157378442547942, 2.609713936325905, 0.9604561988197493, 0.7556555914158659, 0.4520908349122073, 0.0, 6.420342117536156, 4.97299918403428, 3.7782779570793297, 2.8813685964592475, 5.21942787265181, 2.542032981956712, 1.8672851053542865, 1.6912298826690346, 2.4040510159417674, 1.8007954317576913, 1.0542317091203985, 0.3842043546399652, 0.0), # 159
(5.827897675923448, 4.161737600929857, 5.214613971970593, 5.339146506245316, 4.755424070051625, 2.344692604822253, 1.8408974993535137, 1.7985330631757823, 2.5859800605943066, 0.948241130372579, 0.7463012678146054, 0.4467001299258565, 0.0, 6.349136487114865, 4.913701429184421, 3.731506339073027, 2.844723391117736, 5.171960121188613, 2.5179462884460952, 1.8408974993535137, 1.6747804320158948, 2.3777120350258123, 1.7797155020817725, 1.0429227943941186, 0.3783397819027143, 0.0), # 160
(5.738577643668768, 4.0898886365923435, 5.146697981273539, 5.264743502254037, 4.69247633295046, 2.3163360460661466, 1.8110725784027506, 1.7772001777032602, 2.556221271199738, 0.9341316386341878, 0.7354322206132944, 0.44038449792717144, 0.0, 6.264299235855278, 4.844229477198885, 3.6771611030664717, 2.8023949159025627, 5.112442542399476, 2.4880802487845646, 1.8110725784027506, 1.6545257471901047, 2.34623816647523, 1.754914500751346, 1.029339596254708, 0.37180805787203125, 0.0), # 161
(5.638497416341085, 4.011121589715708, 5.068014306410331, 5.179778403645797, 4.619805782561709, 2.282931142663013, 1.7780030505359237, 1.7519547246610676, 2.5207505754436363, 0.9182313843220465, 0.7231308742238162, 0.43319391418941966, 0.0, 6.166557803344267, 4.765133056083616, 3.615654371119081, 2.754694152966139, 5.041501150887273, 2.4527366145254947, 1.7780030505359237, 1.630665101902152, 2.3099028912808546, 1.7265928012152658, 1.0136028612820662, 0.36464741724688265, 0.0), # 162
(5.528285093462799, 3.9258570419885843, 4.979166680280469, 5.084852330767161, 4.537959380867034, 2.244756877807534, 1.7418816237869603, 1.7230122408730417, 2.4798809806274416, 0.9006440281536252, 0.7094796530580545, 0.42517835398586895, 0.0, 6.0566396291687035, 4.676961893844558, 3.5473982652902722, 2.701932084460875, 4.959761961254883, 2.4122171372222585, 1.7418816237869603, 1.6033977698625244, 2.268979690433517, 1.6949507769223873, 0.9958333360560938, 0.356896094726235, 0.0), # 163
(5.408568774556308, 3.834515575099602, 4.8807588357834515, 4.980566403964691, 4.447484089848101, 2.2020922346943936, 1.7029010061897865, 1.6905882631630231, 2.433925494052593, 0.881473230846394, 0.6945609815278929, 0.4163877925897869, 0.0, 5.935272152915463, 4.580265718487656, 3.472804907639464, 2.644419692539181, 4.867850988105186, 2.3668235684282326, 1.7029010061897865, 1.5729230247817099, 2.2237420449240504, 1.660188801321564, 0.9761517671566904, 0.34859232500905474, 0.0), # 164
(5.279976559144014, 3.7375177707373965, 4.773394505818779, 4.867521743584952, 4.348926871486572, 2.155216196518274, 1.6612539057783289, 1.6548983283548488, 2.383197123020528, 0.8608226531178229, 0.678457284045215, 0.4068722052744414, 0.0, 5.803182814171416, 4.475594258018854, 3.3922864202260747, 2.582467959353468, 4.766394246041056, 2.3168576596967885, 1.6612539057783289, 1.5394401403701956, 2.174463435743286, 1.622507247861651, 0.954678901163756, 0.33977434279430885, 0.0), # 165
(5.143136546748318, 3.6352842105905996, 4.657677423285953, 4.746319469974501, 4.242834687764114, 2.1044077464738575, 1.6171330305865146, 1.6161579732723592, 2.328008874832686, 0.8387959556853827, 0.661250985021904, 0.39668156731310017, 0.0, 5.661099052523436, 4.363497240444101, 3.3062549251095197, 2.5163878670561473, 4.656017749665372, 2.262621162581303, 1.6171330305865146, 1.5031483903384697, 2.121417343882057, 1.5821064899915007, 0.9315354846571906, 0.33048038278096364, 0.0), # 166
(4.998676836891619, 3.528235476347844, 4.53421132108447, 4.617560703479906, 4.129754500662389, 2.0499458677558273, 1.57073108864827, 1.5745827347393924, 2.2686737567905064, 0.8154967992665431, 0.6430245088698437, 0.3858658539790306, 0.0, 5.509748307558397, 4.244524393769336, 3.215122544349218, 2.4464903977996286, 4.537347513581013, 2.2044158286351494, 1.57073108864827, 1.4642470483970196, 2.0648772503311945, 1.5391869011599693, 0.9068422642168941, 0.32074867966798587, 0.0), # 167
(4.847225529096317, 3.416792149697761, 4.403599932113832, 4.481846564447728, 4.010233272163062, 1.9921095435588663, 1.5222407879975217, 1.5303881495797866, 2.205504776195428, 0.7910288445787746, 0.6238602800009175, 0.3744750405455008, 0.0, 5.34985801886317, 4.119225446000509, 3.1193014000045878, 2.3730865337363234, 4.411009552390856, 2.1425434094117013, 1.5222407879975217, 1.4229353882563331, 2.005116636081531, 1.4939488548159094, 0.8807199864227666, 0.31061746815434194, 0.0), # 168
(4.689410722884812, 3.3013748123289846, 4.26644698927354, 4.33977817322453, 3.884817964247797, 1.9311777570776578, 1.4718548366681967, 1.4837897546173817, 2.1388149403488903, 0.7654957523395476, 0.6038407228270092, 0.3625591022857782, 0.0, 5.182155626024628, 3.9881501251435596, 3.019203614135046, 2.296487257018642, 4.277629880697781, 2.0773056564643344, 1.4718548366681967, 1.3794126836268983, 1.9424089821238986, 1.4465927244081769, 0.853289397854708, 0.30012498293899864, 0.0), # 169
(4.525860517779507, 3.1824040459301473, 4.12335622546309, 4.191956650156872, 3.7540555388982577, 1.8674294915068832, 1.4197659426942213, 1.435003086676016, 2.0689172565523304, 0.7390011832663317, 0.5830482617600022, 0.3501680144731306, 0.0, 5.007368568629644, 3.8518481592044362, 2.9152413088000113, 2.217003549798995, 4.137834513104661, 2.0090043213464224, 1.4197659426942213, 1.3338782082192022, 1.8770277694491289, 1.3973188833856243, 0.824671245092618, 0.28930945872092256, 0.0), # 170
(4.3572030133028, 3.06030043218988, 3.9749313735819856, 4.038983115591321, 3.61849295809611, 1.801143730041226, 1.3661668141095222, 1.3842436825795277, 1.9961247321071884, 0.7116487980765979, 0.5615653212117798, 0.33735175238082576, 0.0, 4.826224286265092, 3.710869276189083, 2.807826606058899, 2.134946394229793, 3.992249464214377, 1.9379411556113388, 1.3661668141095222, 1.2865312357437328, 1.809246479048055, 1.3463277051971074, 0.7949862747163972, 0.27820913019908006, 0.0), # 171
(4.184066308977092, 2.9354845527968174, 3.8217761665297245, 3.881458689874438, 3.4786771838230153, 1.7325994558753692, 1.3112501589480263, 1.331727079151757, 1.9207503743149028, 0.6835422574878162, 0.5394743255942259, 0.3241602912821315, 0.0, 4.639450218517843, 3.5657632041034453, 2.6973716279711297, 2.050626772463448, 3.8415007486298056, 1.8644179108124599, 1.3112501589480263, 1.237571039910978, 1.7393385919115076, 1.2938195632914795, 0.764355233305945, 0.26686223207243803, 0.0), # 172
(4.007078504324784, 2.808376989439591, 3.664494337205808, 3.7199844933527855, 3.3351551780606408, 1.6620756522039952, 1.25520868524366, 1.2776688132165412, 1.8431071904769127, 0.6547852222174565, 0.5168576993192239, 0.310643606450315, 0.0, 4.44777380497477, 3.417079670953465, 2.584288496596119, 1.9643556666523692, 3.6862143809538255, 1.7887363385031578, 1.25520868524366, 1.187196894431425, 1.6675775890303204, 1.2399948311175955, 0.7328988674411617, 0.25530699903996285, 0.0), # 173
(3.8268676988682753, 2.6793983238068333, 3.503689618509735, 3.5551616463729245, 3.1884739027906486, 1.5898513022217866, 1.1982351010303502, 1.2222844215977202, 1.763508187894657, 0.6254813529829895, 0.4937978667986571, 0.2968516731586446, 0.0, 4.251922485222747, 3.26536840474509, 2.468989333993285, 1.8764440589489682, 3.527016375789314, 1.7111981902368083, 1.1982351010303502, 1.1356080730155618, 1.5942369513953243, 1.1850538821243084, 0.700737923701947, 0.24358166580062124, 0.0), # 174
(3.6440619921299646, 2.548969137587176, 3.3399657433410055, 3.3875912692814207, 3.039180319994703, 1.5162053891234268, 1.1405221143420232, 1.165789441119132, 1.682266373869575, 0.595734310501885, 0.4703772524444093, 0.28283446668038764, 0.0, 4.052623698848646, 3.1111791334842636, 2.3518862622220467, 1.7872029315056546, 3.36453274773915, 1.632105217566785, 1.1405221143420232, 1.0830038493738763, 1.5195901599973516, 1.1291970897604737, 0.6679931486682011, 0.23172446705337968, 0.0), # 175
(3.459289483632255, 2.4175100124692537, 3.173926444599119, 3.2178744824248353, 2.8878213916544695, 1.441416896103598, 1.082262433212606, 1.1083994086046165, 1.5996947557031045, 0.5656477554916135, 0.44667828066836407, 0.268641962288812, 0.0, 3.8506048854393393, 2.9550615851769315, 2.23339140334182, 1.69694326647484, 3.199389511406209, 1.551759172046463, 1.082262433212606, 1.0295834972168558, 1.4439106958272347, 1.0726248274749453, 0.6347852889198239, 0.2197736374972049, 0.0), # 176
(3.273178272897546, 2.2854415301416977, 3.006175455183576, 3.0466124061497295, 2.7349440797516125, 1.365764806356983, 1.0236487656760251, 1.050329860878011, 1.5161063406966853, 0.535325348669645, 0.4227833758824049, 0.2543241352571853, 0.0, 3.6465934845817, 2.7975654878290377, 2.113916879412024, 1.6059760460089345, 3.0322126813933705, 1.4704618052292153, 1.0236487656760251, 0.9755462902549877, 1.3674720398758062, 1.0155374687165768, 0.6012350910367152, 0.20776741183106345, 0.0), # 177
(3.0863564594482376, 2.153184272293141, 2.8373165079938762, 2.87440616080267, 2.581095346267794, 1.2895281030782653, 0.964873819766207, 0.9917963347631552, 1.431814136151756, 0.5048707507534501, 0.39877496249841504, 0.2399309608587752, 0.0, 3.4413169358626017, 2.6392405694465264, 1.993874812492075, 1.51461225226035, 2.863628272303512, 1.3885148686684172, 0.964873819766207, 0.9210915021987609, 1.290547673133897, 0.9581353869342235, 0.5674633015987752, 0.1957440247539219, 0.0), # 178
(0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0), # 179
)
passenger_allighting_rate = (
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 0
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 1
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 2
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 3
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 4
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 5
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 6
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 7
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 8
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 9
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 10
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 11
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 12
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 13
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 14
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 15
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 16
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 17
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 18
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 19
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 20
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 21
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 22
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 23
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 24
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 25
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 26
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 27
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 28
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 29
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 30
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 31
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 32
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 33
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 34
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 35
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 36
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 37
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 38
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 39
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 40
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 41
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 42
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 43
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 44
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 45
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 46
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 47
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 48
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 49
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 50
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 51
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 52
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 53
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 54
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 55
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 56
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 57
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 58
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 59
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 60
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 61
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 62
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 63
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 64
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 65
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 66
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 67
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 68
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 69
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 70
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 71
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 72
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 73
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 74
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 75
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 76
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 77
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 78
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 79
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 80
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 81
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 82
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 83
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 84
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 85
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 86
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 87
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 88
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 89
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 90
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 91
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 92
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 93
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 94
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 95
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 96
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 97
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 98
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 99
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 100
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 101
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 102
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 103
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 104
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 105
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 106
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 107
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 108
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 109
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 110
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 111
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 112
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 113
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 114
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 115
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 116
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 117
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 118
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 119
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 120
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(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 122
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(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 152
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 153
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 154
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 155
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 156
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 157
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 158
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 159
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 160
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 161
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 162
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 163
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 164
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 165
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 166
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 167
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 168
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 169
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 170
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 171
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 172
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 173
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 174
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 175
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 176
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 177
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 178
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 179
)
"""
parameters for reproducibiliy. More information: https://numpy.org/doc/stable/reference/random/parallel.html
"""
#initial entropy
entropy = 8991598675325360468762009371570610170
#index for seed sequence child
child_seed_index = (
1, # 0
89, # 1
)
| 275.205348
| 493
| 0.768674
| 32,987
| 257,317
| 5.995756
| 0.212053
| 0.360397
| 0.345835
| 0.655267
| 0.380778
| 0.372643
| 0.368037
| 0.366408
| 0.365867
| 0.365867
| 0
| 0.849172
| 0.096123
| 257,317
| 934
| 494
| 275.5
| 0.0012
| 0.015588
| 0
| 0.200873
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.005459
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
ba8f6e05418207e4075e32fbe088b22e1fb30e4b
| 229
|
py
|
Python
|
hyaml/methods/prelude/array.py
|
latera/hyaml
|
4dc020434d25c182f8477ddd5582398e51501274
|
[
"Apache-2.0"
] | 3
|
2020-04-12T15:55:11.000Z
|
2021-08-02T16:26:21.000Z
|
hyaml/methods/prelude/array.py
|
latera/hyaml
|
4dc020434d25c182f8477ddd5582398e51501274
|
[
"Apache-2.0"
] | null | null | null |
hyaml/methods/prelude/array.py
|
latera/hyaml
|
4dc020434d25c182f8477ddd5582398e51501274
|
[
"Apache-2.0"
] | null | null | null |
from hyaml.methods.prelude.polymorphic import to_s
def map_join(array, separator=","):
return list(map(lambda pair: separator.join(pair), array))
def join(array, separator=""):
return separator.join(map(to_s, array))
| 22.9
| 62
| 0.724891
| 33
| 229
| 4.939394
| 0.515152
| 0.03681
| 0.220859
| 0.294479
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.131004
| 229
| 9
| 63
| 25.444444
| 0.819095
| 0
| 0
| 0
| 0
| 0
| 0.004367
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| false
| 0
| 0.2
| 0.4
| 1
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 6
|
bafe9525e79eab4ecccd1e73cdec310e8c19c8bd
| 1,103
|
py
|
Python
|
displayPoint.py
|
SquidwardPaul/Pointnet_Pointnet2_pytorch
|
d27c89e2a66750fb5af6ea0e6d3894e7cc3074dd
|
[
"MIT"
] | null | null | null |
displayPoint.py
|
SquidwardPaul/Pointnet_Pointnet2_pytorch
|
d27c89e2a66750fb5af6ea0e6d3894e7cc3074dd
|
[
"MIT"
] | null | null | null |
displayPoint.py
|
SquidwardPaul/Pointnet_Pointnet2_pytorch
|
d27c89e2a66750fb5af6ea0e6d3894e7cc3074dd
|
[
"MIT"
] | null | null | null |
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
# 三维离散点图显示点云
def displayPoint1(data, title):
# 解决中文显示问题
plt.rcParams['font.sans-serif'] = ['SimHei']
plt.rcParams['axes.unicode_minus'] = False
# 点数量太多不予显示
while len(data[0]) > 20000:
print("点太多了！")
exit()
# 散点图参数设置
fig = plt.figure()
ax = Axes3D(fig)
ax.set_title(title)
ax.scatter3D(data[:,0], data[:,1], data[:,2], c='r', marker='.')
ax.set_xlabel('x')
ax.set_ylabel('y')
ax.set_zlabel('z')
plt.show()
def displayPoint2(data, joint, title):
# 解决中文显示问题
plt.rcParams['font.sans-serif'] = ['SimHei']
plt.rcParams['axes.unicode_minus'] = False
# 点数量太多不予显示
while len(data[0]) > 20000:
print("点太多了！")
exit()
# 散点图参数设置
fig = plt.figure()
ax = Axes3D(fig)
ax.set_title(title)
ax.scatter3D(data[:, 0], data[:, 1], data[:, 2], c='r', marker='.')
ax.scatter3D(joint[:, 0], joint[:, 1], joint[:, 2], c='b', marker='.')
ax.set_xlabel('x')
ax.set_ylabel('y')
ax.set_zlabel('z')
plt.show()
| 25.068182
| 74
| 0.578422
| 148
| 1,103
| 4.236486
| 0.364865
| 0.063796
| 0.051037
| 0.076555
| 0.76874
| 0.76874
| 0.76874
| 0.76874
| 0.76874
| 0.76874
| 0
| 0.035129
| 0.225748
| 1,103
| 43
| 75
| 25.651163
| 0.699063
| 0.058024
| 0
| 0.83871
| 0
| 0
| 0.097182
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.064516
| false
| 0
| 0.064516
| 0
| 0.129032
| 0.064516
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
246911f7de35fd9d39ee994474af4d9cc9d01ef2
| 41
|
py
|
Python
|
PIP/Class Program/User Define Module Import/mainModule.py
|
ankitrajbiswal/SEM_5
|
db716e242e77149a4091e0e564356ddc724aeff0
|
[
"Apache-2.0"
] | 10
|
2021-04-24T11:46:48.000Z
|
2022-01-17T05:14:37.000Z
|
PIP/Class Program/User Define Module Import/mainModule.py
|
ankitrajbiswal/SEM_5
|
db716e242e77149a4091e0e564356ddc724aeff0
|
[
"Apache-2.0"
] | 2
|
2021-06-28T11:51:50.000Z
|
2021-11-01T08:21:53.000Z
|
PIP/Class Program/User Define Module Import/mainModule.py
|
ankitrajbiswal/SEM_5
|
db716e242e77149a4091e0e564356ddc724aeff0
|
[
"Apache-2.0"
] | 16
|
2021-04-24T11:46:58.000Z
|
2022-03-02T05:08:19.000Z
|
import imortedModule as i
print('hello')
| 20.5
| 26
| 0.780488
| 6
| 41
| 5.333333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.121951
| 41
| 2
| 27
| 20.5
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0.121951
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 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
| 0
| 1
| 0
| 1
| 0
| 0
| 1
|
0
| 6
|
79f75e9ba7a11fafb92f7f50f0901c1e73f88392
| 16,094
|
py
|
Python
|
tensorflow/contrib/learn/python/learn/estimators/head_test.py
|
jksk/tensorflow
|
48fb73a1c94ee2409382225428063d3496dc651e
|
[
"Apache-2.0"
] | 2
|
2018-04-10T11:50:28.000Z
|
2019-01-08T02:40:17.000Z
|
tensorflow/contrib/learn/python/learn/estimators/head_test.py
|
jksk/tensorflow
|
48fb73a1c94ee2409382225428063d3496dc651e
|
[
"Apache-2.0"
] | null | null | null |
tensorflow/contrib/learn/python/learn/estimators/head_test.py
|
jksk/tensorflow
|
48fb73a1c94ee2409382225428063d3496dc651e
|
[
"Apache-2.0"
] | 6
|
2017-04-14T07:11:14.000Z
|
2019-11-20T08:19:15.000Z
|
# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Tests for head.py."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import six
import tensorflow as tf
from tensorflow.contrib.learn.python.learn.estimators import head as head_lib
def _assert_variables(
test_case, expected_global=None, expected_model=None,
expected_trainable=None):
test_case.assertItemsEqual(
[] if expected_global is None else expected_global,
[k.name for k in tf.global_variables()])
test_case.assertItemsEqual(
[] if expected_model is None else expected_model,
[k.name for k in tf.model_variables()])
test_case.assertItemsEqual(
[] if expected_trainable is None else expected_trainable,
[k.name for k in tf.trainable_variables()])
def _assert_no_variables(test_case):
_assert_variables(test_case, set([]), set([]), set([]))
class RegressionModelHeadTest(tf.test.TestCase):
def _assert_metrics(self, model_fn_ops):
self.assertItemsEqual((
"loss",
), six.iterkeys(model_fn_ops.eval_metric_ops))
# TODO(zakaria): test multilabel regresssion.
def testRegression(self):
head = head_lib._regression_head()
with tf.Graph().as_default(), tf.Session() as sess:
prediction = tf.constant([[1.], [1.], [3.]])
labels = tf.constant([[0.], [1.], [1.]])
model_fn_ops = head.head_ops({}, labels,
tf.contrib.learn.ModeKeys.TRAIN,
_noop_train_op, logits=prediction)
self._assert_metrics(model_fn_ops)
_assert_no_variables(self)
self.assertAlmostEqual(5. / 3, sess.run(model_fn_ops.loss))
model_fn_ops = head.head_ops({}, labels,
tf.contrib.learn.ModeKeys.EVAL,
_noop_train_op, logits=prediction)
self.assertIsNone(model_fn_ops.train_op)
def testRegressionWithWeights(self):
head = head_lib._regression_head(
weight_column_name="label_weight")
with tf.Graph().as_default(), tf.Session() as sess:
features = {"label_weight": tf.constant([[2.], [5.], [0.]])}
prediction = tf.constant([[1.], [1.], [3.]])
labels = tf.constant([[0.], [1.], [1.]])
model_fn_ops = head.head_ops(features, labels,
tf.contrib.learn.ModeKeys.TRAIN,
_noop_train_op, logits=prediction)
self._assert_metrics(model_fn_ops)
_assert_no_variables(self)
self.assertAlmostEqual(2. / 3, sess.run(model_fn_ops.loss), places=3)
def testRegressionWithCenteredBias(self):
head = head_lib._regression_head(
weight_column_name="label_weight", enable_centered_bias=True)
with tf.Graph().as_default(), tf.Session() as sess:
features = {"label_weight": tf.constant([[2.], [5.], [0.]])}
prediction = tf.constant([[1.], [1.], [3.]])
labels = tf.constant([[0.], [1.], [1.]])
model_fn_ops = head.head_ops(features, labels,
tf.contrib.learn.ModeKeys.TRAIN,
_noop_train_op, logits=prediction)
self._assert_metrics(model_fn_ops)
_assert_variables(self, expected_global=(
"centered_bias_weight:0",
"centered_bias_weight/Adagrad:0",
), expected_trainable=(
"centered_bias_weight:0",
))
tf.global_variables_initializer().run()
self.assertAlmostEqual(2. / 3, sess.run(model_fn_ops.loss), places=3)
def testErrorInSparseTensorLabels(self):
head = head_lib._regression_head()
with tf.Graph().as_default():
prediction = tf.constant([[1.], [1.], [3.]])
labels = tf.SparseTensor(
indices=tf.constant([[0, 0], [1, 0], [2, 0]], dtype=tf.int64),
values=tf.constant([0., 1., 1.]),
shape=[3, 1])
with self.assertRaisesRegexp(
ValueError, "SparseTensor is not supported as labels."):
head.head_ops({}, labels, tf.contrib.learn.ModeKeys.TRAIN,
_noop_train_op, logits=prediction)
class MultiLabelModelHeadTest(tf.test.TestCase):
def _assert_metrics(self, model_fn_ops):
self.assertItemsEqual((
"accuracy",
"loss",
), six.iterkeys(model_fn_ops.eval_metric_ops))
def testMultiLabel(self):
head = head_lib._multi_label_head(n_classes=3)
with tf.Graph().as_default(), tf.Session() as sess:
logits = tf.constant([[1., 0., 0.]])
labels = tf.constant([[0, 0, 1]])
model_fn_ops = head.head_ops({}, labels,
tf.contrib.learn.ModeKeys.TRAIN,
_noop_train_op, logits=logits)
self._assert_metrics(model_fn_ops)
_assert_no_variables(self)
self.assertAlmostEqual(0.89985204, sess.run(model_fn_ops.loss))
model_fn_ops = head.head_ops({}, labels,
tf.contrib.learn.ModeKeys.EVAL,
_noop_train_op, logits=logits)
self.assertIsNone(model_fn_ops.train_op)
def testMultiLabelWithWeight(self):
head = head_lib._multi_label_head(
n_classes=3, weight_column_name="label_weight")
with tf.Graph().as_default(), tf.Session() as sess:
features = {"label_weight": tf.constant([0.1])}
logits = tf.constant([[1., 0., 0.]])
labels = tf.constant([[0, 0, 1]])
model_fn_ops = head.head_ops(features, labels,
tf.contrib.learn.ModeKeys.TRAIN,
_noop_train_op, logits=logits)
self._assert_metrics(model_fn_ops)
_assert_no_variables(self)
self.assertAlmostEqual(0.089985214, sess.run(model_fn_ops.loss))
def testMultiLabelWithCenteredBias(self):
head = head_lib._multi_label_head(n_classes=3, enable_centered_bias=True)
with tf.Graph().as_default(), tf.Session() as sess:
logits = tf.constant([[1., 0., 0.]])
labels = tf.constant([[0, 0, 1]])
model_fn_ops = head.head_ops({}, labels,
tf.contrib.learn.ModeKeys.TRAIN,
_noop_train_op, logits=logits)
self._assert_metrics(model_fn_ops)
_assert_variables(self, expected_global=(
"centered_bias_weight:0",
"centered_bias_weight/Adagrad:0",
), expected_trainable=(
"centered_bias_weight:0",
))
tf.global_variables_initializer().run()
self.assertAlmostEqual(0.89985204, sess.run(model_fn_ops.loss))
class MultiClassModelHeadTest(tf.test.TestCase):
def _assert_binary_metrics(self, model_fn_ops):
self.assertItemsEqual((
"accuracy",
"accuracy/baseline_label_mean",
"accuracy/threshold_0.500000_mean",
"auc",
"labels/actual_label_mean",
"labels/prediction_mean",
"loss",
"precision/positive_threshold_0.500000_mean",
"recall/positive_threshold_0.500000_mean",
), six.iterkeys(model_fn_ops.eval_metric_ops))
def testBinaryClassification(self):
head = head_lib._multi_class_head(n_classes=2)
with tf.Graph().as_default(), tf.Session() as sess:
logits = tf.constant([[1.], [1.]])
labels = tf.constant([[1.], [0.]])
# logloss: z:label, x:logit
# z * -log(sigmoid(x)) + (1 - z) * -log(1 - sigmoid(x))
model_fn_ops = head.head_ops({}, labels,
tf.contrib.learn.ModeKeys.TRAIN,
_noop_train_op, logits=logits)
self._assert_binary_metrics(model_fn_ops)
_assert_no_variables(self)
self.assertAlmostEqual(0.81326175, sess.run(model_fn_ops.loss),
delta=1e-6)
model_fn_ops = head.head_ops({}, labels,
tf.contrib.learn.ModeKeys.EVAL,
_noop_train_op, logits=logits)
self.assertIsNone(model_fn_ops.train_op)
def testErrorInSparseTensorLabels(self):
head = head_lib._multi_class_head(n_classes=2)
with tf.Graph().as_default():
prediction = tf.constant([[1.], [1.], [3.]])
labels = tf.SparseTensor(
indices=tf.constant([[0, 0], [1, 0], [2, 0]], dtype=tf.int64),
values=tf.constant([0, 1, 1]),
shape=[3, 1])
with self.assertRaisesRegexp(
ValueError, "SparseTensor is not supported as labels."):
head.head_ops({}, labels, tf.contrib.learn.ModeKeys.TRAIN,
_noop_train_op, logits=prediction)
def testBinaryClassificationWithWeights(self):
head = head_lib._multi_class_head(
n_classes=2, weight_column_name="label_weight")
with tf.Graph().as_default(), tf.Session() as sess:
features = {"label_weight": tf.constant([[1.], [0.]])}
logits = tf.constant([[1.], [1.]])
labels = tf.constant([[1.], [0.]])
# logloss: z:label, x:logit
# z * -log(sigmoid(x)) + (1 - z) * -log(1 - sigmoid(x))
model_fn_ops = head.head_ops(features, labels,
tf.contrib.learn.ModeKeys.TRAIN,
_noop_train_op, logits=logits)
self._assert_binary_metrics(model_fn_ops)
_assert_no_variables(self)
self.assertAlmostEqual(.31326166 / 2, sess.run(model_fn_ops.loss),
delta=1e-6)
def testBinaryClassificationWithCenteredBias(self):
head = head_lib._multi_class_head(n_classes=2, enable_centered_bias=True)
with tf.Graph().as_default(), tf.Session() as sess:
logits = tf.constant([[1.], [1.]])
labels = tf.constant([[1.], [0.]])
# logloss: z:label, x:logit
# z * -log(sigmoid(x)) + (1 - z) * -log(1 - sigmoid(x))
model_fn_ops = head.head_ops({}, labels,
tf.contrib.learn.ModeKeys.TRAIN,
_noop_train_op, logits=logits)
self._assert_binary_metrics(model_fn_ops)
_assert_variables(self, expected_global=(
"centered_bias_weight:0",
"centered_bias_weight/Adagrad:0",
), expected_trainable=(
"centered_bias_weight:0",
))
tf.global_variables_initializer().run()
self.assertAlmostEqual(0.81326175, sess.run(model_fn_ops.loss),
delta=1e-6)
def _assert_multi_class_metrics(self, model_fn_ops):
self.assertItemsEqual((
"accuracy",
"loss",
), six.iterkeys(model_fn_ops.eval_metric_ops))
def testMultiClass(self):
n_classes = 3
head = head_lib._multi_class_head(n_classes=n_classes)
with tf.Graph().as_default(), tf.Session() as sess:
logits = tf.constant([[1., 0., 0.]])
labels = tf.constant([2])
# logloss: z:label, x:logit
# z * -log(sigmoid(x)) + (1 - z) * -log(1 - sigmoid(x))
model_fn_ops = head.head_ops({}, labels,
tf.contrib.learn.ModeKeys.TRAIN,
_noop_train_op, logits=logits)
self._assert_multi_class_metrics(model_fn_ops)
_assert_no_variables(self)
self.assertAlmostEqual(1.5514446, sess.run(model_fn_ops.loss))
model_fn_ops = head.head_ops({}, labels,
tf.contrib.learn.ModeKeys.EVAL,
_noop_train_op, logits=logits)
self.assertIsNone(model_fn_ops.train_op)
def testMultiClassWithWeight(self):
n_classes = 3
head = head_lib._multi_class_head(
n_classes=n_classes, weight_column_name="label_weight")
with tf.Graph().as_default(), tf.Session() as sess:
features = {"label_weight": tf.constant([0.1])}
logits = tf.constant([[1., 0., 0.]])
labels = tf.constant([2])
# logloss: z:label, x:logit
# z * -log(sigmoid(x)) + (1 - z) * -log(1 - sigmoid(x))
model_fn_ops = head.head_ops(features, labels,
tf.contrib.learn.ModeKeys.TRAIN,
_noop_train_op, logits=logits)
self._assert_multi_class_metrics(model_fn_ops)
_assert_no_variables(self)
self.assertAlmostEqual(.15514446, sess.run(model_fn_ops.loss))
def testInvalidNClasses(self):
for n_classes in (None, -1, 0, 1):
with self.assertRaisesRegexp(ValueError, "n_classes must be > 1"):
head_lib._multi_class_head(n_classes=n_classes)
class BinarySvmModelHeadTest(tf.test.TestCase):
def setUp(self):
# Prediction for first example is in the right side of the hyperplane
# (i.e., < 0) but it is within the [-1,1] margin. There is a 0.5 loss
# incurred by this example. The 2nd prediction is outside the margin so it
# incurs no loss at all.
self._predictions = ((-0.5,), (1.2,))
self._labels = (0, 1)
self._expected_losses = (0.5, 0.0)
def _assert_metrics(self, model_fn_ops):
self.assertItemsEqual((
"accuracy",
"loss",
), six.iterkeys(model_fn_ops.eval_metric_ops))
def testBinarySVMDefaultWeights(self):
head = head_lib._binary_svm_head()
with tf.Graph().as_default(), tf.Session():
predictions = tf.constant(self._predictions)
labels = tf.constant(self._labels)
model_fn_ops = head.head_ops({}, labels,
tf.contrib.learn.ModeKeys.TRAIN,
_noop_train_op, logits=predictions)
self._assert_metrics(model_fn_ops)
_assert_no_variables(self)
self.assertAlmostEqual(
np.average(self._expected_losses), model_fn_ops.loss.eval())
model_fn_ops = head.head_ops({}, labels,
tf.contrib.learn.ModeKeys.EVAL,
_noop_train_op, logits=predictions)
self.assertIsNone(model_fn_ops.train_op)
def testBinarySVMWithWeights(self):
head = head_lib._binary_svm_head(weight_column_name="weights")
with tf.Graph().as_default(), tf.Session():
predictions = tf.constant(self._predictions)
labels = tf.constant(self._labels)
weights = (7.0, 11.0)
features = {"weights": tf.constant(weights)}
model_fn_ops = head.head_ops(features, labels,
tf.contrib.learn.ModeKeys.TRAIN,
_noop_train_op, logits=predictions)
self._assert_metrics(model_fn_ops)
_assert_no_variables(self)
self.assertAlmostEqual(
np.sum(np.multiply(weights, self._expected_losses)) / 2.0,
model_fn_ops.loss.eval())
def testBinarySVMWithCenteredBias(self):
head = head_lib._binary_svm_head(enable_centered_bias=True)
with tf.Graph().as_default(), tf.Session():
predictions = tf.constant(self._predictions)
labels = tf.constant(self._labels)
model_fn_ops = head.head_ops({}, labels,
tf.contrib.learn.ModeKeys.TRAIN,
_noop_train_op, logits=predictions)
self._assert_metrics(model_fn_ops)
_assert_variables(self, expected_global=(
"centered_bias_weight:0",
"centered_bias_weight/Adagrad:0",
), expected_trainable=(
"centered_bias_weight:0",
))
tf.global_variables_initializer().run()
self.assertAlmostEqual(
np.average(self._expected_losses), model_fn_ops.loss.eval())
def _noop_train_op(unused_loss):
return tf.no_op()
if __name__ == "__main__":
tf.test.main()
| 41.694301
| 80
| 0.618802
| 1,971
| 16,094
| 4.76966
| 0.119736
| 0.046165
| 0.06595
| 0.044676
| 0.77779
| 0.761834
| 0.737581
| 0.723859
| 0.710563
| 0.697054
| 0
| 0.022612
| 0.252579
| 16,094
| 385
| 81
| 41.802597
| 0.758916
| 0.084255
| 0
| 0.736334
| 0
| 0
| 0.053115
| 0.032848
| 0
| 0
| 0
| 0.002597
| 0.212219
| 1
| 0.083601
| false
| 0
| 0.022508
| 0.003215
| 0.122187
| 0.003215
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
0340c995c9af004ef8f1e661f362a0d0356c3236
| 31
|
py
|
Python
|
unms/__init__.py
|
OrchardBroadband/station-monitor
|
db1d10d2d0ee8dcead4e936fb78a8a7915be5827
|
[
"Unlicense"
] | null | null | null |
unms/__init__.py
|
OrchardBroadband/station-monitor
|
db1d10d2d0ee8dcead4e936fb78a8a7915be5827
|
[
"Unlicense"
] | null | null | null |
unms/__init__.py
|
OrchardBroadband/station-monitor
|
db1d10d2d0ee8dcead4e936fb78a8a7915be5827
|
[
"Unlicense"
] | null | null | null |
from unms.client import Client
| 15.5
| 30
| 0.83871
| 5
| 31
| 5.2
| 0.8
| 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
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| 1
| 0
| 1
| 1
| 0
| null | 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
cee09a23499fa00b8c14b3fbd5cfa731ad90e2ea
| 160
|
py
|
Python
|
utils/__init__.py
|
daemonslayer/image-completion-inpainting
|
944b47175866bd7cfc8339c3a475e4bcf1c72994
|
[
"MIT"
] | null | null | null |
utils/__init__.py
|
daemonslayer/image-completion-inpainting
|
944b47175866bd7cfc8339c3a475e4bcf1c72994
|
[
"MIT"
] | null | null | null |
utils/__init__.py
|
daemonslayer/image-completion-inpainting
|
944b47175866bd7cfc8339c3a475e4bcf1c72994
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
from .config import *
from .evaluator import *
from .meter import *
from .optim import *
from .trainer import *
from .visualizer import *
| 20
| 25
| 0.73125
| 22
| 160
| 5.318182
| 0.545455
| 0.42735
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1625
| 160
| 8
| 25
| 20
| 0.873134
| 0.125
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
cefab3c4ff9c5d087347aebcc19940c968c3f090
| 433
|
py
|
Python
|
spongeauth/spongemime/test_spongemime.py
|
felixoi/SpongeAuth
|
d44ee52d0b35b2e1909c7bf6bad29aa7b4835b26
|
[
"MIT"
] | 10
|
2016-11-18T12:37:24.000Z
|
2022-03-04T09:25:25.000Z
|
spongeauth/spongemime/test_spongemime.py
|
felixoi/SpongeAuth
|
d44ee52d0b35b2e1909c7bf6bad29aa7b4835b26
|
[
"MIT"
] | 794
|
2016-11-19T18:34:37.000Z
|
2022-03-31T16:49:11.000Z
|
spongeauth/spongemime/test_spongemime.py
|
PowerNukkit/OreAuth
|
96a2926c9601fce6fac471bdb997077f07e8bf9a
|
[
"MIT"
] | 11
|
2016-11-26T22:30:17.000Z
|
2022-03-16T17:20:14.000Z
|
import spongemime
def test_mime2exts():
assert spongemime.mime2exts("image/png") == ["png"]
assert set(spongemime.mime2exts("image/jpeg")) == {"jpg", "jpeg", "jpe"}
assert set(spongemime.mime2exts("image/svg+xml")) == {"svg", "svgz"}
def test_ext2mime():
assert spongemime.ext2mime("png") == "image/png"
assert spongemime.ext2mime("jpg") == "image/jpeg"
assert spongemime.ext2mime("jpeg") == "image/jpeg"
| 30.928571
| 76
| 0.660508
| 50
| 433
| 5.68
| 0.32
| 0.225352
| 0.253521
| 0.197183
| 0.232394
| 0
| 0
| 0
| 0
| 0
| 0
| 0.021505
| 0.140878
| 433
| 13
| 77
| 33.307692
| 0.741935
| 0
| 0
| 0
| 0
| 0
| 0.210162
| 0
| 0
| 0
| 0
| 0
| 0.666667
| 1
| 0.222222
| true
| 0
| 0.111111
| 0
| 0.333333
| 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
| 1
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
306a8c8056f7b25499a80f1337ded9dae628af5b
| 31
|
py
|
Python
|
ast/testdata/func_defaults.py
|
MaxTurchin/pycopy-lib
|
d7a69fc2a28031e2ca475c29239f715c1809d8cc
|
[
"PSF-2.0"
] | 126
|
2019-07-19T14:42:41.000Z
|
2022-03-21T22:22:19.000Z
|
ast/testdata/func_defaults.py
|
MaxTurchin/pycopy-lib
|
d7a69fc2a28031e2ca475c29239f715c1809d8cc
|
[
"PSF-2.0"
] | 38
|
2019-08-28T01:46:31.000Z
|
2022-03-17T05:46:51.000Z
|
ast/testdata/func_defaults.py
|
MaxTurchin/pycopy-lib
|
d7a69fc2a28031e2ca475c29239f715c1809d8cc
|
[
"PSF-2.0"
] | 55
|
2019-08-02T09:32:33.000Z
|
2021-12-22T11:25:51.000Z
|
def foo(a, b=1, c=3):
pass
| 10.333333
| 21
| 0.483871
| 8
| 31
| 1.875
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.090909
| 0.290323
| 31
| 2
| 22
| 15.5
| 0.590909
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0.5
| 0
| 0
| 0.5
| 0
| 1
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 6
|
06305d1438d01c2eca764ce0396bb132ab908ff8
| 88
|
py
|
Python
|
python/ql/test/library-tests/exprs/compare/compare.py
|
vadi2/codeql
|
a806a4f08696d241ab295a286999251b56a6860c
|
[
"MIT"
] | 4,036
|
2020-04-29T00:09:57.000Z
|
2022-03-31T14:16:38.000Z
|
python/ql/test/library-tests/exprs/compare/compare.py
|
vadi2/codeql
|
a806a4f08696d241ab295a286999251b56a6860c
|
[
"MIT"
] | 2,970
|
2020-04-28T17:24:18.000Z
|
2022-03-31T22:40:46.000Z
|
python/ql/test/library-tests/exprs/compare/compare.py
|
ScriptBox99/github-codeql
|
2ecf0d3264db8fb4904b2056964da469372a235c
|
[
"MIT"
] | 794
|
2020-04-29T00:28:25.000Z
|
2022-03-30T08:21:46.000Z
|
a < b < c
x in y
x not in y
x is y
x is not y
x < y
x > y
x >= y
x <= y
x == y
x != y
| 6.285714
| 10
| 0.420455
| 29
| 88
| 1.275862
| 0.275862
| 0.486486
| 0.486486
| 0.540541
| 0.351351
| 0.351351
| 0.351351
| 0.351351
| 0.351351
| 0.351351
| 0
| 0
| 0.443182
| 88
| 13
| 11
| 6.769231
| 0.755102
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
065069d5830ea97707ebc84583d23b1448e3ba77
| 124
|
py
|
Python
|
doclib/manager/errors/__init__.py
|
mark-ep/doclib
|
17b3ae2036d744a5224172e62e53307a3b69677e
|
[
"MIT"
] | null | null | null |
doclib/manager/errors/__init__.py
|
mark-ep/doclib
|
17b3ae2036d744a5224172e62e53307a3b69677e
|
[
"MIT"
] | 4
|
2017-08-13T11:06:33.000Z
|
2017-08-13T11:16:16.000Z
|
doclib/manager/errors/__init__.py
|
mark-ep/doclib
|
17b3ae2036d744a5224172e62e53307a3b69677e
|
[
"MIT"
] | null | null | null |
from .project_error import ProjectError
from .category_error import CategoryError
from .document_error import DocumentError
| 31
| 41
| 0.879032
| 15
| 124
| 7.066667
| 0.6
| 0.311321
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.096774
| 124
| 3
| 42
| 41.333333
| 0.946429
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
ebed3464b4576cf9aaa39a281e3960697569029d
| 3,373
|
py
|
Python
|
cogs/fun/weeb.py
|
itsVale/Vale.py
|
6b3cac68d53e8d814ee969a959aae4de52beda80
|
[
"MIT"
] | 14
|
2018-08-06T06:45:19.000Z
|
2018-12-28T14:20:33.000Z
|
cogs/fun/weeb.py
|
itsVale/Vale.py
|
6b3cac68d53e8d814ee969a959aae4de52beda80
|
[
"MIT"
] | 10
|
2018-10-06T10:52:08.000Z
|
2018-12-28T14:21:47.000Z
|
cogs/fun/weeb.py
|
itsVale/Vale.py
|
6b3cac68d53e8d814ee969a959aae4de52beda80
|
[
"MIT"
] | 13
|
2018-09-23T20:13:10.000Z
|
2019-01-26T11:02:37.000Z
|
from urllib.parse import quote
import discord
from discord.ext import commands
from utils.colors import random_color
class Weeb(commands.Cog):
def __init__(self, bot):
self.bot = bot
@commands.command(name='anime', aliases=['animu', 'material'])
async def _anime(self, ctx, *, query):
"""Provides information about a given anime."""
await ctx.trigger_typing()
try:
async with ctx.session.get(f'https://api.jikan.moe/search/anime/{quote(query)}') as resp:
data = await resp.json()
embed = (discord.Embed(title=data['result'][0].get('title', ''), color=random_color(), timestamp=ctx.message.created_at)
.add_field(name=':gem: Short description:',
value=f'{data["result"][0].get("description")}**\n'
f'[Read more about {data["result"][0].get("title")}...]({data["result"][0].get("url")})**')
.add_field(name=':clapper: Episodes:', value=f'**{data["result"][0].get("episodes")}**')
.add_field(name=':heart_decoration: MyAnimeList rating:', value=f'**{data["result"][0].get("score")}/10**')
.add_field(name=':busts_in_silhouette: Members:', value=f'**{data["result"][0].get("type")}**')
.add_field(name=':performing_arts: Type:', value=f'**{data["result"][0].get("type")}**')
.set_thumbnail(url=data['result'][0].get('image_url'))
.set_footer(text=f'Anime search for: {query}', icon_url=ctx.author.avatar_url))
except Exception: # muh pycodestyle
return await ctx.send(f':warning: No results found for ``{query}``.')
await ctx.send(embed=embed)
@commands.command(name='manga')
async def _manga(self, ctx, *, query):
"""Provides information about a given manga."""
await ctx.trigger_typing()
try:
async with ctx.session.get(f'https://api.jikan.moe/search/manga/{quote(query)}') as resp:
data = await resp.json()
embed = (discord.Embed(title=data['result'][0].get('title', ''), color=random_color(), timestamp=ctx.message.created_at)
.add_field(name=':gem: Short description:',
value=f'{data["result"][0].get("description")}**\n'
f'[Read more about {data["result"][0].get("title")}...]({data["result"][0].get("url")})**')
.add_field(name=':clapper: Volumes:', value=f'**{data["result"][0].get("volumes")}**')
.add_field(name=':heart_decoration: MyAnimeList rating:', value=f'**{data["result"][0].get("score")}/10**')
.add_field(name=':busts_in_silhouette: Members:', value=f'**{data["result"][0].get("type")}**')
.add_field(name=':performing_arts: Type:', value=f'**{data["result"][0].get("type")}**')
.set_thumbnail(url=data['result'][0].get('image_url'))
.set_footer(text=f'Manga search for: {query}', icon_url=ctx.author.avatar_url))
except Exception: # muh pycodestyle
return await ctx.send(f':warning: No results found for ``{query}``.')
await ctx.send(embed=embed)
def setup(bot):
bot.add_cog(Weeb(bot))
| 49.602941
| 132
| 0.556181
| 406
| 3,373
| 4.517241
| 0.258621
| 0.098146
| 0.107961
| 0.137405
| 0.823337
| 0.823337
| 0.801527
| 0.801527
| 0.755725
| 0.755725
| 0
| 0.008696
| 0.249926
| 3,373
| 67
| 133
| 50.343284
| 0.716206
| 0.009191
| 0
| 0.595745
| 0
| 0.042553
| 0.34792
| 0.172881
| 0
| 0
| 0
| 0
| 0
| 1
| 0.042553
| false
| 0
| 0.085106
| 0
| 0.191489
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
ebf68892aeb952ee8d2c40df397390710b305a9b
| 669
|
py
|
Python
|
stickerfinder/models/__init__.py
|
drbuilderpro/sticker-finder
|
688656a4b67c1e5057c0d1dc5b21201f0466b7ab
|
[
"MIT"
] | null | null | null |
stickerfinder/models/__init__.py
|
drbuilderpro/sticker-finder
|
688656a4b67c1e5057c0d1dc5b21201f0466b7ab
|
[
"MIT"
] | null | null | null |
stickerfinder/models/__init__.py
|
drbuilderpro/sticker-finder
|
688656a4b67c1e5057c0d1dc5b21201f0466b7ab
|
[
"MIT"
] | 1
|
2020-11-06T02:17:14.000Z
|
2020-11-06T02:17:14.000Z
|
from stickerfinder.models.chat import Chat, chat_sticker_set # noqa
from stickerfinder.models.sticker import Sticker, sticker_tag # noqa
from stickerfinder.models.task import Task # noqa
from stickerfinder.models.sticker_set import StickerSet # noqa
from stickerfinder.models.tag import Tag # noqa
from stickerfinder.models.user import User # noqa
from stickerfinder.models.change import Change # noqa
from stickerfinder.models.report import Report # noqa
from stickerfinder.models.inline_query import InlineQuery # noqa
from stickerfinder.models.inline_query_request import InlineQueryRequest # noqa
from stickerfinder.models.sticker_usages import StickerUsage # noqa
| 55.75
| 79
| 0.846039
| 87
| 669
| 6.413793
| 0.241379
| 0.335125
| 0.453405
| 0.483871
| 0.426523
| 0.136201
| 0
| 0
| 0
| 0
| 0
| 0
| 0.101644
| 669
| 11
| 80
| 60.818182
| 0.928453
| 0.080717
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
230b48b9eec5c38b0d901edbd9cb5303b38e1367
| 128
|
py
|
Python
|
scripts/run_legendre_polynomials.py
|
jaantollander/LegendrePolynomials
|
55cd51f35a6f0cb4444bd0912f93ca2fb3bb619a
|
[
"MIT"
] | 1
|
2019-12-16T14:30:44.000Z
|
2019-12-16T14:30:44.000Z
|
scripts/run_legendre_polynomials.py
|
jaantollander/LegendreSeries
|
55cd51f35a6f0cb4444bd0912f93ca2fb3bb619a
|
[
"MIT"
] | null | null | null |
scripts/run_legendre_polynomials.py
|
jaantollander/LegendreSeries
|
55cd51f35a6f0cb4444bd0912f93ca2fb3bb619a
|
[
"MIT"
] | null | null | null |
import numpy as np
from plots import plot_legendre_polynomials
x = np.linspace(-1, 1, 1001)
plot_legendre_polynomials(x, n=5)
| 18.285714
| 43
| 0.78125
| 22
| 128
| 4.363636
| 0.681818
| 0.25
| 0.479167
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.063063
| 0.132813
| 128
| 6
| 44
| 21.333333
| 0.801802
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
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| null | 1
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| null | 0
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| 1
| 0
| 0
| 0
|
0
| 6
|
231645d701e6581c716290c8a0773d10a8b7801f
| 129
|
py
|
Python
|
code_icc/utils/cluster/__init__.py
|
ThmCuong/IIC-Python3
|
5a02b40ffa07b159fa7e89cf5b4ed781f4798ff1
|
[
"MIT"
] | null | null | null |
code_icc/utils/cluster/__init__.py
|
ThmCuong/IIC-Python3
|
5a02b40ffa07b159fa7e89cf5b4ed781f4798ff1
|
[
"MIT"
] | null | null | null |
code_icc/utils/cluster/__init__.py
|
ThmCuong/IIC-Python3
|
5a02b40ffa07b159fa7e89cf5b4ed781f4798ff1
|
[
"MIT"
] | null | null | null |
from . import baselines, cluster_eval, data, eval_metrics, general, IID_losses
from . import k_means_assess, render, transforms
| 43
| 78
| 0.806202
| 18
| 129
| 5.5
| 0.833333
| 0.20202
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.124031
| 129
| 2
| 79
| 64.5
| 0.876106
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| true
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
88c458706c61dda56cefbbcb0a2e497ab43d7363
| 45
|
py
|
Python
|
server/rest/models/__init__.py
|
nking1232/html5-msoy
|
6e026f1989b15310ad67c050beb69a168c3bdd5f
|
[
"MIT"
] | null | null | null |
server/rest/models/__init__.py
|
nking1232/html5-msoy
|
6e026f1989b15310ad67c050beb69a168c3bdd5f
|
[
"MIT"
] | null | null | null |
server/rest/models/__init__.py
|
nking1232/html5-msoy
|
6e026f1989b15310ad67c050beb69a168c3bdd5f
|
[
"MIT"
] | 2
|
2020-12-18T19:19:38.000Z
|
2020-12-18T19:53:56.000Z
|
from .room import Room
from .user import User
| 22.5
| 22
| 0.8
| 8
| 45
| 4.5
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.155556
| 45
| 2
| 23
| 22.5
| 0.947368
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| 1
| 0
| 1
| 0
|
0
| 6
|
88cd90332a0797802354ddd3d8d43d2d76454b00
| 242
|
py
|
Python
|
sentence_transformers/readers/__init__.py
|
danielperezr88/sentence-transformers
|
56a7990c56c484e7948cf6400b54f27114bb267c
|
[
"Apache-2.0"
] | null | null | null |
sentence_transformers/readers/__init__.py
|
danielperezr88/sentence-transformers
|
56a7990c56c484e7948cf6400b54f27114bb267c
|
[
"Apache-2.0"
] | null | null | null |
sentence_transformers/readers/__init__.py
|
danielperezr88/sentence-transformers
|
56a7990c56c484e7948cf6400b54f27114bb267c
|
[
"Apache-2.0"
] | null | null | null |
from .InputExample import InputExample
from .LabelSentenceReader import LabelSentenceReader
from .NLIDataReader import NLIDataReader
from .STSDataReader import STSDataReader, STSBenchmarkDataReader
from .TripletReader import TripletReader
| 48.4
| 65
| 0.876033
| 21
| 242
| 10.095238
| 0.380952
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.099174
| 242
| 5
| 66
| 48.4
| 0.972477
| 0
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| true
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| 1
| null | 0
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| 0
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| 0
| 0
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| 0
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| 0
| 1
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
cc616d4bbfced43d6a8e1e528110399a5f193f89
| 5,031
|
py
|
Python
|
scripts/gen_iwslt_grid_search_scripts.py
|
fallcat/synst
|
0fa4adffa825af4a62b6e739b59c4125a7b6698e
|
[
"BSD-3-Clause"
] | 1
|
2019-09-08T13:55:21.000Z
|
2019-09-08T13:55:21.000Z
|
scripts/gen_iwslt_grid_search_scripts.py
|
fallcat/synst
|
0fa4adffa825af4a62b6e739b59c4125a7b6698e
|
[
"BSD-3-Clause"
] | 2
|
2019-10-02T15:23:55.000Z
|
2019-10-16T02:38:25.000Z
|
scripts/gen_iwslt_grid_search_scripts.py
|
fallcat/synst
|
0fa4adffa825af4a62b6e739b59c4125a7b6698e
|
[
"BSD-3-Clause"
] | null | null | null |
import os
# layer 123
enc_fixed = "left right left right left right"
dec_fixed = "left center left center left center"
enc_position_list = ['left left', 'left center', 'left right', 'center center', 'center right', 'right right']
dec_position_list = ['left left', 'left center', 'center center']
def generate_train_script(exp_id, enc_attn_pos, dec_attn_pos):
s = """#!/bin/bash
#
#SBATCH --job-name=iwslt_grid_{0:04}
#SBATCH --partition=1080ti-long
#SBATCH --gres=gpu:1
#SBATCH --ntasks-per-node=24
#SBATCH --mem=47GB
#SBATCH -d singleton
#SBATCH --open-mode append
#SBATCH -o /mnt/nfs/work1/miyyer/simengsun/synst/experiments/iwslt_grid_{0:04}/output_train.txt
#SBATCH --mail-type=ALL
#SBATCH --mail-user=simengsun@cs.umass.edu
BASE_PATH=/mnt/nfs/work1/miyyer
PROJECT_PATH=$BASE_PATH/simengsun/synst
EXPERIMENT_PATH=$PROJECT_PATH/experiments/iwslt_grid_{0:04}\n
""".format(exp_id)
enc_p = enc_attn_pos.split()
dec_p = dec_attn_pos.split()
s += """
{}\t{}\t{}\t{}\t{}\t{}\t{}\t{}\t\n
""".format(
enc_p[0],enc_p[1], enc_p[-2], enc_p[-1],
dec_p[0],dec_p[1], dec_p[-2], dec_p[-1]
)
s += """
# Load in python3 and source the venv
module load python3/3.6.6-1810
source /mnt/nfs/work1/miyyer/wyou/py36/bin/activate
# Need to include the venv path upfront...
# otherwise it defaults to the loaded slurm module which breaks for pynvml with python3
#PYTHONPATH=$BASE_PATH/simengsun/synst/bin/lib/python3.6/site-packages/:$PYTHONPATH
PYTHONPATH=/mnt/nfs/work1/miyyer/wyou/py36/lib/python3.6/site-packages:$PYTHONPATH\n
"""
s += """
env $(cat ~/.comet.ml | xargs) python main.py \\
--track -b 6000 --dataset iwslt_en_de --span 1 \\
--model new_transformer \\
--attn-param 1 \\
--attn-type normal \\
--attn-position {0} \\
--attn-displacement 1 \\
--dec-attn-param 1 \\
--dec-attn-type normal \\
--dec-attn-position {1} \\
--dec-attn-displacement 1 \\
--embedding-size 286 --hidden-dim 507 --num-heads 2 --num-layers 5 \\
-d /mnt/nfs/work1/miyyer/wyou/iwslt -p /mnt/nfs/work1/miyyer/wyou/iwslt -v train \\
--checkpoint-interval 600 --accumulate 1 --learning-rate 3e-4 --checkpoint-directory $EXPERIMENT_PATH \\
--label-smoothing 0.0 --learning-rate-scheduler linear\n
""".format(enc_attn_pos, dec_attn_pos)
with open('./iwslt_grid_search/iwslt_grid_{0:04}.sh'.format(exp_id), 'w') as f:
f.write(s)
def generate_eval_script(exp_id, enc_attn_pos, dec_attn_pos):
s = """#!/bin/bash
#
#SBATCH --job-name=iwslt_grid_{0:04}
#SBATCH --partition=1080ti-short
#SBATCH --gres=gpu:1
#SBATCH --ntasks-per-node=24
#SBATCH --mem=47GB
#SBATCH -d singleton
#SBATCH --open-mode append
#SBATCH -o /mnt/nfs/work1/miyyer/simengsun/synst/experiments/iwslt_grid_{0:04}/output_eval.txt
#SBATCH --mail-type=ALL
#SBATCH --mail-user=simengsun@cs.umass.edu
BASE_PATH=/mnt/nfs/work1/miyyer
PROJECT_PATH=$BASE_PATH/simengsun/synst
EXPERIMENT_PATH=$PROJECT_PATH/experiments/iwslt_grid_{0:04}\n
""".format(exp_id)
enc_p = enc_attn_pos.split()
dec_p = dec_attn_pos.split()
s += """
{}\t{}\t{}\t{}\t{}\t{}\t{}\t{}\t\n
""".format(
enc_p[0],enc_p[1], enc_p[-2], enc_p[-1],
dec_p[0],dec_p[1], dec_p[-2], dec_p[-1]
)
s += """
# Load in python3 and source the venv
module load python3/3.6.6-1810
source /mnt/nfs/work1/miyyer/wyou/py36/bin/activate
# Need to include the venv path upfront...
# otherwise it defaults to the loaded slurm module which breaks for pynvml with python3
#PYTHONPATH=$BASE_PATH/simengsun/synst/bin/lib/python3.6/site-packages/:$PYTHONPATH
PYTHONPATH=/mnt/nfs/work1/miyyer/wyou/py36/lib/python3.6/site-packages:$PYTHONPATH\n
"""
s += """
CUDA_VISIBLE_DEVICES=0 python main.py --dataset iwslt_en_de --span 1 \
--model new_transformer \\
--attn-param 1 \\
--attn-type normal \\
--attn-position {0} \\
--attn-displacement 1 \\
--dec-attn-param 1 \\
--dec-attn-type normal \\
--dec-attn-position {1} \\
--dec-attn-displacement 1 \\
--embedding-size 286 --hidden-dim 507 --num-heads 2 --num-layers 5 \\
-d /mnt/nfs/work1/miyyer/wyou/iwslt -p /mnt/nfs/work1/miyyer/wyou/iwslt \\
--batch-size 1 --batch-method example --split dev \\
--restore $EXPERIMENT_PATH/checkpoint.pt \\
--average-checkpoints 5 \\
translate \\
--beam-width 4 --max-decode-length 50 --length-basis input_lens --order-output \\
--output-directory $EXPERIMENT_PATH
""".format(enc_attn_pos, dec_attn_pos)
with open('./iwslt_grid_search_eval/iwslt_grid_{0:04}_eval.sh'.format(exp_id), 'w') as f:
f.write(s)
if not os.path.exists('../experiments/iwslt_grid_{0:04}'.format(exp_id)):
os.mkdir('../experiments/iwslt_grid_{0:04}'.format(exp_id))
exp_id = 0
for enc_l0_pos in enc_position_list:
for enc_l4_pos in enc_position_list:
for dec_l0_pos in dec_position_list:
for dec_l4_pos in dec_position_list:
enc_attn_pos = enc_l0_pos + " " + enc_fixed + " " + enc_l4_pos
dec_attn_pos = dec_l0_pos + " " + dec_fixed + " " + dec_l4_pos
generate_train_script(exp_id, enc_attn_pos, dec_attn_pos)
generate_eval_script(exp_id, enc_attn_pos, dec_attn_pos)
exp_id += 1
| 34.458904
| 110
| 0.705625
| 837
| 5,031
| 4.050179
| 0.223417
| 0.037168
| 0.038938
| 0.060177
| 0.787611
| 0.775811
| 0.744543
| 0.744543
| 0.724484
| 0.724484
| 0
| 0.03907
| 0.119857
| 5,031
| 145
| 111
| 34.696552
| 0.726513
| 0.001789
| 0
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| 0
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| 0.723994
| 0.310682
| 0
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| 0.015873
| false
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| 0
| 0
| 0
| 0
|
0
| 6
|
cc89fd6d0bb2e50834e53586eb09e67a12cea7e1
| 6,808
|
py
|
Python
|
CIM100/IEC61970/Informative/InfERPSupport/__init__.py
|
MaximeBaudette/PyCIM
|
d68ee5ccfc1d32d44c5cd09fb173142fb5ff4f14
|
[
"MIT"
] | null | null | null |
CIM100/IEC61970/Informative/InfERPSupport/__init__.py
|
MaximeBaudette/PyCIM
|
d68ee5ccfc1d32d44c5cd09fb173142fb5ff4f14
|
[
"MIT"
] | null | null | null |
CIM100/IEC61970/Informative/InfERPSupport/__init__.py
|
MaximeBaudette/PyCIM
|
d68ee5ccfc1d32d44c5cd09fb173142fb5ff4f14
|
[
"MIT"
] | null | null | null |
# Copyright (C) 2010-2011 Richard Lincoln
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to
# deal in the Software without restriction, including without limitation the
# rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
# sell copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
# IN THE SOFTWARE.
"""The package contains portions of the model defined byEnterprise Resource Planning (ERP) standards like those proposed by the Open Applications Group (OAG). It is provided to facilitate integration among electric utility applications (CIM) and enterprise resource planning (ERP) applications (as defined by OAG). Rather than inventing new CIM classes that accomplish similar functionality as in existing ERP models, the preferred approach is to use and extend ERP classes as appropriate in other packages. If a model other that the OAG standard is used as a basis for ERP integration, the utility classes labeld 'Erp...' should be associated with the appropriate classes of that standard. In fact, definitions of 'Erp...' classes are based on OAG Nouns to facilitate this process. TODO: The following has been copied from a very old version of draft Part 11, so the references are wrong, but we store the knowledge here to reuse later: 'The Enterprise Resource Planning (ERP) Support Package contains portions of the model defined by ERP standards like those proposed by the Open Applications Group (OAG). This package is provided to facilitate integration among electric utility applications (CIM) and enterprise resource planning (ERP) applications (OAG). Rather than inventing new CIM classes that accomplish similar functionality as in existing ERP models, the preferred approach is to use and extend ERP classes as appropriate in other packages. If a model other that the OAG standard is used as a basis for ERP integration, the utility classes labeled 'Erp...' should be associated with the appropriate classes of that standard.'
"""
from CIM100.IEC61970.Informative.InfERPSupport.ErpRecDelvLineItem import ErpRecDelvLineItem
from CIM100.IEC61970.Informative.InfERPSupport.ErpLedgerBudget import ErpLedgerBudget
from CIM100.IEC61970.Informative.InfERPSupport.ErpTimeEntry import ErpTimeEntry
from CIM100.IEC61970.Informative.InfERPSupport.ErpCompetency import ErpCompetency
from CIM100.IEC61970.Informative.InfERPSupport.ErpPurchaseOrder import ErpPurchaseOrder
from CIM100.IEC61970.Informative.InfERPSupport.ErpEngChangeOrder import ErpEngChangeOrder
from CIM100.IEC61970.Informative.InfERPSupport.ErpProjectAccounting import ErpProjectAccounting
from CIM100.IEC61970.Informative.InfERPSupport.ErpRecLineItem import ErpRecLineItem
from CIM100.IEC61970.Informative.InfERPSupport.ErpPayableLineItem import ErpPayableLineItem
from CIM100.IEC61970.Informative.InfERPSupport.ErpLedBudLineItem import ErpLedBudLineItem
from CIM100.IEC61970.Informative.InfERPSupport.ErpRequisition import ErpRequisition
from CIM100.IEC61970.Informative.InfERPSupport.ErpOrganisation import ErpOrganisation
from CIM100.IEC61970.Informative.InfERPSupport.ErpInvoice import ErpInvoice
from CIM100.IEC61970.Informative.InfERPSupport.DocErpPersonRole import DocErpPersonRole
from CIM100.IEC61970.Informative.InfERPSupport.ErpBankAccount import ErpBankAccount
from CIM100.IEC61970.Informative.InfERPSupport.ErpQuote import ErpQuote
from CIM100.IEC61970.Informative.InfERPSupport.ErpPerson import ErpPerson
from CIM100.IEC61970.Informative.InfERPSupport.ErpItemMaster import ErpItemMaster
from CIM100.IEC61970.Informative.InfERPSupport.ErpBOM import ErpBOM
from CIM100.IEC61970.Informative.InfERPSupport.ErpInventoryCount import ErpInventoryCount
from CIM100.IEC61970.Informative.InfERPSupport.ErpIssueInventory import ErpIssueInventory
from CIM100.IEC61970.Informative.InfERPSupport.ErpPayable import ErpPayable
from CIM100.IEC61970.Informative.InfERPSupport.ErpLedger import ErpLedger
from CIM100.IEC61970.Informative.InfERPSupport.ErpPOLineItem import ErpPOLineItem
from CIM100.IEC61970.Informative.InfERPSupport.ErpLedgerEntry import ErpLedgerEntry
from CIM100.IEC61970.Informative.InfERPSupport.ErpPayment import ErpPayment
from CIM100.IEC61970.Informative.InfERPSupport.ErpReceivable import ErpReceivable
from CIM100.IEC61970.Informative.InfERPSupport.DocOrgRole import DocOrgRole
from CIM100.IEC61970.Informative.InfERPSupport.ErpReqLineItem import ErpReqLineItem
from CIM100.IEC61970.Informative.InfERPSupport.ErpTimeSheet import ErpTimeSheet
from CIM100.IEC61970.Informative.InfERPSupport.ErpInventory import ErpInventory
from CIM100.IEC61970.Informative.InfERPSupport.ErpChartOfAccounts import ErpChartOfAccounts
from CIM100.IEC61970.Informative.InfERPSupport.ErpSiteLevelData import ErpSiteLevelData
from CIM100.IEC61970.Informative.InfERPSupport.OrgErpPersonRole import OrgErpPersonRole
from CIM100.IEC61970.Informative.InfERPSupport.ErpReceiveDelivery import ErpReceiveDelivery
from CIM100.IEC61970.Informative.InfERPSupport.ErpSalesOrder import ErpSalesOrder
from CIM100.IEC61970.Informative.InfERPSupport.ErpJournalEntry import ErpJournalEntry
from CIM100.IEC61970.Informative.InfERPSupport.ErpInvoiceLineItem import ErpInvoiceLineItem
from CIM100.IEC61970.Informative.InfERPSupport.OrgOrgRole import OrgOrgRole
from CIM100.IEC61970.Informative.InfERPSupport.ErpJournal import ErpJournal
from CIM100.IEC61970.Informative.InfERPSupport.ErpPersonnel import ErpPersonnel
from CIM100.IEC61970.Informative.InfERPSupport.ErpQuoteLineItem import ErpQuoteLineItem
from CIM100.IEC61970.Informative.InfERPSupport.ErpBomItemData import ErpBomItemData
nsURI = "http://iec.ch/TC57/2013/CIM-schema-CIM100#InfERPSupport"
nsPrefix = "cimInfERPSupport"
class ErpInvoiceLineItemKind(str):
"""Values are: other, recalculation, initial
"""
pass
class ErpInvoiceKind(str):
"""Values are: sales, purchase
"""
pass
class ErpAccountKind(str):
"""Values are: normal, estimate, statistical, reversal
"""
pass
class BillMediaKind(str):
"""Values are: other, paper, electronic
"""
pass
| 74.813187
| 1,638
| 0.84386
| 814
| 6,808
| 7.05774
| 0.300983
| 0.074848
| 0.134726
| 0.217058
| 0.49295
| 0.17859
| 0.17859
| 0.164665
| 0.164665
| 0.164665
| 0
| 0.059537
| 0.104436
| 6,808
| 90
| 1,639
| 75.644444
| 0.882729
| 0.422444
| 0
| 0.075472
| 0
| 0
| 0.018266
| 0
| 0
| 0
| 0
| 0.011111
| 0
| 1
| 0
| false
| 0.075472
| 0.811321
| 0
| 0.886792
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 0
|
0
| 6
|
aec9e229809a5f1510196e4f23d47ebb99c2431d
| 199
|
py
|
Python
|
include/TestClientData.py
|
DonaldTsang/hydrus
|
1ffd13469c0ea98ea78961ab377aff1c6325379b
|
[
"WTFPL"
] | 3
|
2019-06-19T09:29:50.000Z
|
2019-12-18T14:17:21.000Z
|
include/TestClientData.py
|
DonaldTsang/hydrus
|
1ffd13469c0ea98ea78961ab377aff1c6325379b
|
[
"WTFPL"
] | 50
|
2019-04-05T02:25:13.000Z
|
2019-04-27T04:29:31.000Z
|
include/TestClientData.py
|
DonaldTsang/hydrus
|
1ffd13469c0ea98ea78961ab377aff1c6325379b
|
[
"WTFPL"
] | null | null | null |
from . import ClientConstants as CC
from . import ClientImportOptions
from . import ClientImportFileSeeds
from . import HydrusConstants as HC
from . import HydrusExceptions
import os
import unittest
| 24.875
| 35
| 0.834171
| 23
| 199
| 7.217391
| 0.521739
| 0.301205
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.140704
| 199
| 7
| 36
| 28.428571
| 0.97076
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
aecf42ccc82d98a1e452b16aabd40d0c938d19cf
| 31
|
py
|
Python
|
Holamundo.py
|
monicacice/Ejercicios
|
3fefde384c8a3186a695abd921ef4066df2672e1
|
[
"MIT"
] | null | null | null |
Holamundo.py
|
monicacice/Ejercicios
|
3fefde384c8a3186a695abd921ef4066df2672e1
|
[
"MIT"
] | null | null | null |
Holamundo.py
|
monicacice/Ejercicios
|
3fefde384c8a3186a695abd921ef4066df2672e1
|
[
"MIT"
] | null | null | null |
print("Hola Mundo, soy Batman")
| 31
| 31
| 0.741935
| 5
| 31
| 4.6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.096774
| 31
| 1
| 31
| 31
| 0.821429
| 0
| 0
| 0
| 0
| 0
| 0.6875
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 6
|
aed2cdc9517949f2151832e43e404bf8a7356d30
| 98
|
py
|
Python
|
observation/__init__.py
|
NLeSC/eWaterCycle-comda
|
64c60d8c7c51187d36bbe0b3d883841fca537337
|
[
"Apache-2.0"
] | null | null | null |
observation/__init__.py
|
NLeSC/eWaterCycle-comda
|
64c60d8c7c51187d36bbe0b3d883841fca537337
|
[
"Apache-2.0"
] | null | null | null |
observation/__init__.py
|
NLeSC/eWaterCycle-comda
|
64c60d8c7c51187d36bbe0b3d883841fca537337
|
[
"Apache-2.0"
] | null | null | null |
from observation.dummies import *
from observation.landsat import *
import observation.observation
| 32.666667
| 33
| 0.857143
| 11
| 98
| 7.636364
| 0.454545
| 0.357143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.091837
| 98
| 3
| 34
| 32.666667
| 0.94382
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
9d84c4e13d30deca15f08dd63e5ebddd0630e17c
| 622
|
py
|
Python
|
content/browse/__init__.py
|
Revibe-Music/core-services
|
6b11cf16ad2c35d948f3a5c0e7a161e5b7cfc1b2
|
[
"MIT"
] | 2
|
2022-01-24T23:30:18.000Z
|
2022-01-26T00:21:22.000Z
|
content/browse/__init__.py
|
Revibe-Music/core-services
|
6b11cf16ad2c35d948f3a5c0e7a161e5b7cfc1b2
|
[
"MIT"
] | null | null | null |
content/browse/__init__.py
|
Revibe-Music/core-services
|
6b11cf16ad2c35d948f3a5c0e7a161e5b7cfc1b2
|
[
"MIT"
] | null | null | null |
"""
"""
from .page import full_browse_page
from .sections import (
top_songs_all_time, top_albums_all_time, top_artists_all_time,
trending_songs, trending_albums, trending_artists,
trending_youtube,
recently_uploaded_albums,
artist_spotlight, revibe_playlists
)
# -----------------------------------------------------------------------------
__all__ = [
full_browse_page,
top_songs_all_time, top_albums_all_time, top_artists_all_time,
trending_songs, trending_albums, trending_artists,
trending_youtube,
recently_uploaded_albums,
artist_spotlight, revibe_playlists
]
| 20.064516
| 79
| 0.673633
| 67
| 622
| 5.626866
| 0.298507
| 0.111406
| 0.106101
| 0.079576
| 0.832891
| 0.832891
| 0.832891
| 0.832891
| 0.832891
| 0.832891
| 0
| 0
| 0.149518
| 622
| 30
| 80
| 20.733333
| 0.712665
| 0.123794
| 0
| 0.625
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.125
| 0
| 0.125
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
9de9702d2931232e222e5306334d850495f7da1b
| 1,866
|
py
|
Python
|
teacher/explanation/tests/test_factual.py
|
Kaysera/teacher
|
99fe61b30798143e39a10eb3ba33c8f28cdd6c79
|
[
"MIT"
] | 3
|
2022-03-09T16:54:02.000Z
|
2022-03-10T13:28:31.000Z
|
teacher/explanation/tests/test_factual.py
|
Kaysera/teacher
|
99fe61b30798143e39a10eb3ba33c8f28cdd6c79
|
[
"MIT"
] | 1
|
2022-03-17T16:30:02.000Z
|
2022-03-24T17:54:08.000Z
|
teacher/explanation/tests/test_factual.py
|
Kaysera/teacher
|
99fe61b30798143e39a10eb3ba33c8f28cdd6c79
|
[
"MIT"
] | null | null | null |
from teacher.tree import Rule
from teacher.explanation import m_factual, c_factual, mr_factual, FID3_factual
def test_m_factual(mock_fired_rules):
instance, rule_list, class_val = mock_fired_rules
rule_one = Rule([('color', 'low'), ('strength', 'high')], 'IPA', 0.93)
rule_two = Rule([('color', 'high'), ('strength', 'high')], 'IPA', 0.65)
expected_factual = [rule_one, rule_two]
assert m_factual(instance, rule_list, class_val) == expected_factual
def test_c_factual(mock_fired_rules):
instance, rule_list, class_val = mock_fired_rules
rule_one = Rule([('color', 'low'), ('strength', 'high')], 'IPA', 0.93)
expected_factual = [rule_one]
assert c_factual(instance, rule_list, class_val, 0.1) == expected_factual
def test_c_beta_factual(mock_fired_rules):
instance, rule_list, class_val = mock_fired_rules
rule_one = Rule([('color', 'low'), ('strength', 'high')], 'IPA', 0.93)
rule_two = Rule([('color', 'high'), ('strength', 'high')], 'IPA', 0.65)
expected_factual = [rule_one, rule_two]
assert c_factual(instance, rule_list, class_val, 0.1, 0.51) == expected_factual
def test_mr_factual(mock_fired_rules):
instance, rule_list, class_val = mock_fired_rules
rule_one = Rule([('color', 'low'), ('strength', 'high')], 'IPA', 0.93)
rule_two = Rule([('color', 'high'), ('strength', 'high')], 'IPA', 0.65)
rule_three = Rule([('color', 'low'), ('strength', 'very high')], 'IPA', 0.44)
expected_factual = [rule_one, rule_two, rule_three]
assert mr_factual(instance, rule_list, class_val) == expected_factual
def test_FID3_factual(mock_fired_rules):
instance, rule_list, class_val = mock_fired_rules
rule_three = Rule([('color', 'low'), ('strength', 'very high')], 'IPA', 0.44)
expected_factual = rule_three
assert FID3_factual(instance, rule_list) == expected_factual
| 44.428571
| 83
| 0.684352
| 267
| 1,866
| 4.456929
| 0.142322
| 0.07563
| 0.117647
| 0.158824
| 0.810924
| 0.790756
| 0.782353
| 0.782353
| 0.782353
| 0.782353
| 0
| 0.023285
| 0.148446
| 1,866
| 41
| 84
| 45.512195
| 0.725614
| 0
| 0
| 0.516129
| 0
| 0
| 0.117899
| 0
| 0
| 0
| 0
| 0
| 0.16129
| 1
| 0.16129
| false
| 0
| 0.064516
| 0
| 0.225806
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
9df84aab69d2f6b67bd0ec64372a8898e336a39f
| 3,500
|
py
|
Python
|
build_kernel/test.py
|
mik90/scripts
|
7f2e90667c0619e65068a74060d7ea2b0afab359
|
[
"Apache-2.0"
] | null | null | null |
build_kernel/test.py
|
mik90/scripts
|
7f2e90667c0619e65068a74060d7ea2b0afab359
|
[
"Apache-2.0"
] | null | null | null |
build_kernel/test.py
|
mik90/scripts
|
7f2e90667c0619e65068a74060d7ea2b0afab359
|
[
"Apache-2.0"
] | null | null | null |
#!/usr/bin/python3
""" Tests build_kernel.py """
import unittest
import build_kernel
class TestBuildKernel(unittest.TestCase):
def test_version_compare_major(self):
old = build_kernel.VersionInfo(version_triple="4.7.10", vmlinuz="vmlinuz-4.7.10-gentoo",
system_map="System.map-4.7.10-gentoo", config="config-4.7.10-gentoo", is_old=False)
new = build_kernel.VersionInfo(version_triple="5.7.10", vmlinuz="vmlinuz-5.7.10-gentoo",
system_map="System.map-5.7.10-gentoo", config="config-5.7.10-gentoo", is_old=False)
# Greater is newer
self.assertGreater(new, old)
def test_version_compare_minor(self):
old = build_kernel.VersionInfo(version_triple="5.6.10", vmlinuz="vmlinuz-5.6.10-gentoo",
system_map="System.map-5.6.10-gentoo", config="config-5.6.10-gentoo", is_old=False)
new = build_kernel.VersionInfo(version_triple="5.7.10", vmlinuz="vmlinuz-5.7.10-gentoo",
system_map="System.map-5.7.10-gentoo", config="config-5.7.10-gentoo", is_old=False)
self.assertGreater(new, old)
def test_version_compare_patch(self):
old = build_kernel.VersionInfo(version_triple="5.7.9", vmlinuz="vmlinuz-5.7.9-gentoo",
system_map="System.map-5.7.9-gentoo", config="config-5.7.9-gentoo", is_old=False)
new = build_kernel.VersionInfo(version_triple="5.7.10", vmlinuz="vmlinuz-5.7.10-gentoo",
system_map="System.map-5.7.10-gentoo", config="config-5.7.10-gentoo", is_old=False)
self.assertGreater(new, old)
def test_version_compare_old(self):
old = build_kernel.VersionInfo(version_triple="5.7.10", vmlinuz="vmlinuz-5.7.10-gentoo.old",
system_map="System.map-5.7.10-gentoo.old", config="config-5.7.10-gentoo.old", is_old=True)
new = build_kernel.VersionInfo(version_triple="5.7.10", vmlinuz="vmlinuz-5.7.10-gentoo",
system_map="System.map-5.7.10-gentoo", config="config-5.7.10-gentoo", is_old=False)
self.assertGreater(new, old)
def test_version_compare_rc(self):
# rc 1 vs rc 0
old = build_kernel.VersionInfo(version_triple="5.7.10", vmlinuz="vmlinuz-5.7.10-gentoo.old",
system_map="System.map-5.7.10-gentoo.old", config="config-5.7.10-gentoo.old", release_candidate_num=0, is_old=False)
new = build_kernel.VersionInfo(version_triple="5.7.10", vmlinuz="vmlinuz-5.7.10-gentoo",
system_map="System.map-5.7.10-gentoo", config="config-5.7.10-gentoo", release_candidate_num=1, is_old=False)
self.assertGreater(new, old)
def test_version_compare_rc_2(self):
# rc 15 vs rc 3
old = build_kernel.VersionInfo(version_triple="5.7.10", vmlinuz="vmlinuz-5.7.10-gentoo.old",
system_map="System.map-5.7.10-gentoo.old", config="config-5.7.10-gentoo.old", release_candidate_num=3, is_old=False)
new = build_kernel.VersionInfo(version_triple="5.7.10", vmlinuz="vmlinuz-5.7.10-gentoo",
system_map="System.map-5.7.10-gentoo", config="config-5.7.10-gentoo", release_candidate_num=15, is_old=False)
self.assertGreater(new, old)
if __name__ == '__main__':
unittest.main()
| 59.322034
| 155
| 0.617714
| 504
| 3,500
| 4.121032
| 0.107143
| 0.057776
| 0.069331
| 0.129995
| 0.867598
| 0.837747
| 0.837265
| 0.762638
| 0.720751
| 0.697641
| 0
| 0.074627
| 0.234286
| 3,500
| 58
| 156
| 60.344828
| 0.700373
| 0.024
| 0
| 0.463415
| 0
| 0
| 0.261891
| 0.18027
| 0
| 0
| 0
| 0
| 0.146341
| 1
| 0.146341
| false
| 0
| 0.04878
| 0
| 0.219512
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
d1acfcc660e7a128be7859c10296b008fa1c62ef
| 11,913
|
py
|
Python
|
test/torch_hierarchical_test.py
|
ymchen7/bluefog
|
d9c450f2bdac11ff719b7e5f5434ee5ff56499b4
|
[
"Apache-2.0"
] | null | null | null |
test/torch_hierarchical_test.py
|
ymchen7/bluefog
|
d9c450f2bdac11ff719b7e5f5434ee5ff56499b4
|
[
"Apache-2.0"
] | null | null | null |
test/torch_hierarchical_test.py
|
ymchen7/bluefog
|
d9c450f2bdac11ff719b7e5f5434ee5ff56499b4
|
[
"Apache-2.0"
] | null | null | null |
import itertools
import os
import numpy as np
import pytest
import torch
import networkx as nx
import bluefog.torch as bf
from common import mpi_env_rank_and_size
EPSILON = 1e-6
TEST_ON_GPU = torch.cuda.is_available()
# Utility functions
def cast_and_place(tensor, dtype):
if dtype.is_cuda:
if bf.nccl_built() and bf.local_size() > torch.cuda.device_count():
raise EnvironmentError(
"Cannot run number of processes in one machine more than GPU device count"
" in NCCL environment")
return tensor.cuda(bf.rank() % torch.cuda.device_count()).type(dtype)
return tensor.type(dtype)
def numerical_data_type():
dtypes = [torch.FloatTensor, torch.DoubleTensor]
if TEST_ON_GPU:
dtypes += [torch.cuda.FloatTensor, torch.cuda.DoubleTensor]
return dtypes
def dimensions():
return [1, 2, 3]
@pytest.fixture
def hier_setup():
os.environ['BLUEFOG_NODES_PER_MACHINE'] = '2'
bf.init()
assert bf.size() % 2 == 0
machine_size = int(bf.size() // 2)
bf.set_machine_topology(bf.ExponentialGraph(machine_size))
return bf.rank(), bf.size(), bf.local_rank(), bf.local_size()
def test_bluefog_local_size(hier_setup):
_, true_size = mpi_env_rank_and_size()
local_size = bf.local_size()
assert local_size == min(2, true_size)
def test_bluefog_local_rank(hier_setup):
true_rank, true_size = mpi_env_rank_and_size()
local_rank = bf.local_rank()
assert true_rank % min(2, true_size) == local_rank
@pytest.mark.parametrize(
"dtype,dim",
itertools.product(numerical_data_type(), dimensions()),
)
def test_hier_allreduce(hier_setup, dtype, dim):
rank, size, local_rank, local_size = hier_setup
tensor = torch.FloatTensor(*([23] * dim)).fill_(1).mul_(rank)
name = "hier_local_allreduce_tensor_{}_{}".format(dim, dtype)
tensor = cast_and_place(tensor, dtype)
expected_value = rank - local_rank + (local_size-1) / 2
reduced_tensor = bf.allreduce(tensor, average=True, is_hierarchical_local=True,
name=name)
assert (
list(reduced_tensor.shape) == [23] * dim
), "bf.allreduce (hier_avg) produces incorrect reduced shape"
assert (
(reduced_tensor.data - expected_value).abs().max() < EPSILON
), "bf.allreduce (hier_avg) produces incorrect reduced tensor"
@pytest.mark.parametrize(
"dtype,dim",
itertools.product(numerical_data_type(), dimensions()),
)
def test_hier_allreduce_inplace(hier_setup, dtype, dim):
rank, size, local_rank, local_size = hier_setup
tensor = torch.FloatTensor(*([23] * dim)).fill_(1).mul_(rank)
name = "hier_local_allreduce_inplace_tensor_{}_{}".format(dim, dtype)
tensor = cast_and_place(tensor, dtype)
expected_value = rank - local_rank + (local_size-1) / 2
bf.allreduce_(tensor, average=True, is_hierarchical_local=True,
name=name)
assert (
list(tensor.shape) == [23] * dim
), "bf.allreduce (hier_avg) produces incorrect reduced shape"
assert (
(tensor.data - expected_value).abs().max() < EPSILON
), "bf.allreduce (hier_avg) produces incorrect reduced tensor"
@pytest.mark.parametrize(
"dtype,dim",
itertools.product(numerical_data_type(), dimensions()),
)
def test_hier_neighbor_allreduce(hier_setup, dtype, dim):
rank, size, local_rank, local_size = hier_setup
# This particular value is chosen such that the local allreduce will result in the machine rank.
# For example, there are 8 nodes with 4 nodes per machine.
# The allreduce result from node 0 to 3 will be 0, and the one from node 4 to 7 will 1.
tensor = torch.FloatTensor(*([23] * dim)).fill_((rank-(local_size-1)/2.0)/local_size)
name = "hier_neighbor_allreduce_tensor_{}_{}".format(dim, dtype)
tensor = cast_and_place(tensor, dtype)
reduced_tensor = bf.hierarchical_neighbor_allreduce(tensor, name=name)
neighbor_ranks = bf.in_neighbor_machine_ranks()
expected_value = ((rank-local_rank)/local_size + sum(neighbor_ranks))/(len(neighbor_ranks)+1)
assert (
list(reduced_tensor.shape) == [23] * dim
), "bf.hierarchical_neighbor_allreduce (hier_NA) produces incorrect reduced shape"
assert (
(reduced_tensor.data - expected_value).abs().max() < EPSILON
), "bf.hierarchical_neighbor_allreduce (hier_NA) produces incorrect reduced tensor"
@pytest.mark.parametrize(
"dtype,dim",
itertools.product(numerical_data_type(), dimensions()),
)
def test_hier_neighbor_allreduce_dynamic_move(hier_setup, dtype, dim):
rank, size, local_rank, local_size = hier_setup
machine_rank = (rank-local_rank)//local_size
machine_size = size//local_size
# This particular value is chosen such that the local allreduce will result in the machine rank.
# For example, there are 8 nodes with 4 nodes per machine.
# The allreduce result from node 0 to 3 will be 0, and the one from node 4 to 7 will 1.
tensor = torch.FloatTensor(*([23] * dim)).fill_((rank-(local_size-1)/2.0)/local_size)
name = "hier_neighbor_allreduce_tensor_{}_{}".format(dim, dtype)
tensor = cast_and_place(tensor, dtype)
reduced_tensor = bf.hierarchical_neighbor_allreduce(
tensor, self_weight=0.0,
src_machine_weights={(machine_rank+1)%machine_size: 1.0},
dst_machine_weights=[(machine_rank-1)%machine_size], name=name)
expected_value = (machine_rank+1)%machine_size
assert (
list(reduced_tensor.shape) == [23] * dim
), "bf.hierarchical_neighbor_allreduce (hier_NA) produces incorrect reduced shape"
assert (
(reduced_tensor.data - expected_value).abs().max() < EPSILON
), "bf.hierarchical_neighbor_allreduce (hier_NA) produces incorrect reduced tensor"
@pytest.mark.parametrize(
"dtype,dim",
itertools.product(numerical_data_type(), dimensions()),
)
def test_hier_neighbor_allreduce_dynamic_move_dst_weight(hier_setup, dtype, dim):
rank, size, local_rank, local_size = hier_setup
machine_rank = (rank-local_rank)//local_size
machine_size = size//local_size
# This particular value is chosen such that the local allreduce will result in the machine rank.
# For example, there are 8 nodes with 4 nodes per machine.
# The allreduce result from node 0 to 3 will be 0, and the one from node 4 to 7 will 1.
tensor = torch.FloatTensor(*([23] * dim)).fill_((rank-(local_size-1)/2.0)/local_size)
name = "hier_neighbor_allreduce_tensor_{}_{}".format(dim, dtype)
tensor = cast_and_place(tensor, dtype)
reduced_tensor = bf.hierarchical_neighbor_allreduce(
tensor, self_weight=0.0,
src_machine_weights={(machine_rank+1)%machine_size: 0.5},
dst_machine_weights={(machine_rank-1)%machine_size: 2.0}, name=name)
expected_value = (machine_rank+1)%machine_size
assert (
list(reduced_tensor.shape) == [23] * dim
), "bf.hierarchical_neighbor_allreduce (hier_NA) produces incorrect reduced shape"
assert (
(reduced_tensor.data - expected_value).abs().max() < EPSILON
), "bf.hierarchical_neighbor_allreduce (hier_NA) produces incorrect reduced tensor"
@pytest.mark.parametrize(
"dtype,dim",
itertools.product(numerical_data_type(), dimensions()),
)
def test_hier_neighbor_allreduce_fusion(hier_setup, dtype, dim):
rank, size, local_rank, local_size = hier_setup
machine_rank = (rank-local_rank)//local_size
machine_size = size//local_size
neighbor_ranks = bf.in_neighbor_machine_ranks()
expected_value = (machine_rank + sum(neighbor_ranks))/(len(neighbor_ranks)+1)
K = 50 # number of tensors send in short time
tensor_list, handles, names = [], [], []
for i in range(K):
tensor = torch.FloatTensor(*([23] * dim)).fill_(i+(rank-(local_size-1)/2.0)/local_size)
tensor = cast_and_place(tensor, dtype)
tensor_list.append(tensor)
names.append("index{}_{}_{}".format(i, dtype, dim))
for i in range(K):
handle = bf.hierarchical_neighbor_allreduce_nonblocking(
tensor_list[i], name=names[i])
handles.append(handle)
outputs = []
for i in range(K):
output = bf.synchronize(handles[i])
outputs.append(output)
for i in range(K):
assert (
list(outputs[i].shape) == [23] * dim
), f"{names[i]} (hierarchical neighbor allreduce fusion) produces incorrect reduced shape"
assert (
(outputs[i]-expected_value-i).abs().max() < EPSILON
), (f"{names[i]} (hierarchical neighbor allreduce fusion) produces incorrect reduced tensor"
f" when K = {i}")
@pytest.mark.parametrize(
"dtype,dim",
itertools.product(numerical_data_type(), dimensions()),
)
def test_hier_neighbor_allreduce_dynamic_move_fusion(hier_setup, dtype, dim):
rank, size, local_rank, local_size = hier_setup
machine_rank = (rank-local_rank)//local_size
machine_size = size//local_size
expected_value = (machine_rank+1)%machine_size
src_machine_weights = {(machine_rank+1)%machine_size: 1.0}
dst_machine_weights = [(machine_rank-1)%machine_size]
K = 50 # number of tensors send in short time
tensor_list, handles, names = [], [], []
for i in range(K):
tensor = torch.FloatTensor(*([23] * dim)).fill_(i+(rank-(local_size-1)/2.0)/local_size)
tensor = cast_and_place(tensor, dtype)
tensor_list.append(tensor)
names.append("index{}_{}_{}".format(i, dtype, dim))
for i in range(K):
handle = bf.hierarchical_neighbor_allreduce_nonblocking(
tensor_list[i], self_weight=0.0,
src_machine_weights=src_machine_weights,
dst_machine_weights=dst_machine_weights, name=names[i])
handles.append(handle)
outputs = []
for i in range(K):
output = bf.synchronize(handles[i])
outputs.append(output)
for i in range(K):
assert (
list(outputs[i].shape) == [23] * dim
), f"{names[i]} (hierarchical neighbor allreduce fusion) produces incorrect reduced shape"
assert (
(outputs[i]-expected_value-i).abs().max() < EPSILON
), f"{names[i]} (hierarchical neighbor allreduce fusion) produces incorrect reduced tensor"
@pytest.mark.parametrize(
"dtype,dim",
itertools.product(numerical_data_type(), dimensions()),
)
def test_hier_neighbor_allreduce_dynamic_move_dst_weight_fusion(hier_setup, dtype, dim):
rank, size, local_rank, local_size = hier_setup
machine_rank = (rank-local_rank)//local_size
machine_size = size//local_size
expected_value = (machine_rank+1)%machine_size
src_machine_weights = {(machine_rank+1)%machine_size: 0.5}
dst_machine_weights = {(machine_rank-1)%machine_size: 2.0}
K = 50 # number of tensors send in short time
tensor_list, handles, names = [], [], []
for i in range(K):
tensor = torch.FloatTensor(*([23] * dim)).fill_(i+(rank-(local_size-1)/2.0)/local_size)
tensor = cast_and_place(tensor, dtype)
tensor_list.append(tensor)
names.append("index{}_{}_{}".format(i, dtype, dim))
for i in range(K):
handle = bf.hierarchical_neighbor_allreduce_nonblocking(
tensor_list[i], self_weight=0.0,
src_machine_weights=src_machine_weights,
dst_machine_weights=dst_machine_weights, name=names[i])
handles.append(handle)
outputs = []
for i in range(K):
output = bf.synchronize(handles[i])
outputs.append(output)
for i in range(K):
assert (
list(outputs[i].shape) == [23] * dim
), f"{names[i]} (hierarchical neighbor allreduce fusion) produces incorrect reduced shape"
assert (
(outputs[i]-expected_value-i).abs().max() < EPSILON
), f"{names[i]} (hierarchical neighbor allreduce fusion) produces incorrect reduced tensor"
| 39.44702
| 100
| 0.685134
| 1,604
| 11,913
| 4.841646
| 0.096633
| 0.045197
| 0.036827
| 0.037085
| 0.882307
| 0.871234
| 0.871234
| 0.859902
| 0.851275
| 0.838398
| 0
| 0.013669
| 0.195501
| 11,913
| 301
| 101
| 39.578073
| 0.79664
| 0.070679
| 0
| 0.681818
| 0
| 0
| 0.146694
| 0.037171
| 0
| 0
| 0
| 0
| 0.078512
| 1
| 0.057851
| false
| 0
| 0.033058
| 0.004132
| 0.11157
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
d1b8c2ab378968f279e1f844a643fa38b07eeba7
| 97
|
py
|
Python
|
temann/data/TEMDB.py
|
Luochenghuang/TEMANN
|
88afc00f214ae91d60b3b41af2da322524dc0663
|
[
"MIT"
] | 5
|
2018-02-28T01:33:42.000Z
|
2018-03-08T23:05:15.000Z
|
temann/data/TEMDB.py
|
Luochenghuang/TEMANN
|
88afc00f214ae91d60b3b41af2da322524dc0663
|
[
"MIT"
] | 8
|
2020-01-28T21:51:59.000Z
|
2022-02-09T23:28:37.000Z
|
temann/data/TEMDB.py
|
Luochenghuang/TEMANN
|
88afc00f214ae91d60b3b41af2da322524dc0663
|
[
"MIT"
] | null | null | null |
import pandas as pd
from ..utils import file_path
TEMDB = pd.read_csv(file_path('TEMDB.csv'))
| 13.857143
| 43
| 0.742268
| 17
| 97
| 4.058824
| 0.647059
| 0.231884
| 0.376812
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.14433
| 97
| 6
| 44
| 16.166667
| 0.831325
| 0
| 0
| 0
| 0
| 0
| 0.092784
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
0607eab4e74c2220ba48758b0c13f4aea0b23b2a
| 1,057
|
py
|
Python
|
Cloud_Data_warehouse/check_Cluster_Availabiilty.py
|
ManaliSharma/Data_Engineering_Projects
|
4a6eb1be9bc3de36ca44bfd7b635b92a2adb76ae
|
[
"MIT"
] | 1
|
2021-07-28T02:33:13.000Z
|
2021-07-28T02:33:13.000Z
|
Cloud_Data_warehouse/check_Cluster_Availabiilty.py
|
ManaliSharma/Data_Engineering_Projects
|
4a6eb1be9bc3de36ca44bfd7b635b92a2adb76ae
|
[
"MIT"
] | null | null | null |
Cloud_Data_warehouse/check_Cluster_Availabiilty.py
|
ManaliSharma/Data_Engineering_Projects
|
4a6eb1be9bc3de36ca44bfd7b635b92a2adb76ae
|
[
"MIT"
] | null | null | null |
from create_infrastructure import config_parse_file, aws_client, aws_open_redshift_port, check_cluster_creation, aws_resource, config_persist_cluster_infos
#import config_parse_file, aws_client, aws_open_redshift_port, check_cluster_creation, aws_resource, config_persist_cluster_infos
# def main():
# config_parse_file()
# redshift = aws_client('redshift', "us-east-1")
# if check_cluster_creation(redshift):
# print('available')
# ec2 = aws_resource('ec2', 'us-east-1')
# config_persist_cluster_infos(redshift)
# aws_open_redshift_port(ec2, redshift)
# else:
# print('notyet')
# if __name__ == '__main__':
# main()
def main():
config_parse_file()
redshift = aws_client('redshift', "us-east-1")
if check_cluster_creation(redshift):
print('available')
ec2 = aws_resource('ec2', 'us-east-1')
config_persist_cluster_infos(redshift)
aws_open_redshift_port(ec2, redshift)
else:
print('notyet')
if __name__ == '__main__':
main()
| 28.567568
| 155
| 0.687796
| 129
| 1,057
| 5.131783
| 0.232558
| 0.066465
| 0.090634
| 0.114804
| 0.963746
| 0.963746
| 0.963746
| 0.963746
| 0.963746
| 0.963746
| 0
| 0.011792
| 0.197729
| 1,057
| 37
| 156
| 28.567568
| 0.768868
| 0.468307
| 0
| 0
| 0
| 0
| 0.094545
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.076923
| false
| 0
| 0.076923
| 0
| 0.153846
| 0.153846
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
ae685e603d004d1cae09309b43e41529f4a1cace
| 86
|
py
|
Python
|
tests/instapaper.py
|
thetomcraig/HPI
|
5eecd8721dc0cbfc68040106bb7b540b1567dff3
|
[
"MIT"
] | null | null | null |
tests/instapaper.py
|
thetomcraig/HPI
|
5eecd8721dc0cbfc68040106bb7b540b1567dff3
|
[
"MIT"
] | null | null | null |
tests/instapaper.py
|
thetomcraig/HPI
|
5eecd8721dc0cbfc68040106bb7b540b1567dff3
|
[
"MIT"
] | null | null | null |
from my.instapaper import pages
def test_pages():
assert len(list(pages())) > 3
| 14.333333
| 33
| 0.686047
| 13
| 86
| 4.461538
| 0.846154
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.014286
| 0.186047
| 86
| 5
| 34
| 17.2
| 0.814286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.333333
| 1
| 0.333333
| true
| 0
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
8848e1f17d5cde76aeedd02407d4938e72365d92
| 154
|
py
|
Python
|
dart_fss/fs/__init__.py
|
dveamer/dart-fss
|
1ea6b937f363d604a7da9c03686fba7f66707efa
|
[
"MIT"
] | 243
|
2019-04-19T09:05:32.000Z
|
2022-03-27T10:51:24.000Z
|
dart_fss/fs/__init__.py
|
dveamer/dart-fss
|
1ea6b937f363d604a7da9c03686fba7f66707efa
|
[
"MIT"
] | 80
|
2019-04-20T06:37:44.000Z
|
2022-03-25T12:20:47.000Z
|
dart_fss/fs/__init__.py
|
dveamer/dart-fss
|
1ea6b937f363d604a7da9c03686fba7f66707efa
|
[
"MIT"
] | 92
|
2019-04-18T06:19:52.000Z
|
2022-03-17T07:43:39.000Z
|
# -*- coding: utf-8 -*-
from dart_fss.fs.extract import extract
from dart_fss.fs.fs import FinancialStatement
__all__ = ['extract', 'FinancialStatement']
| 30.8
| 45
| 0.753247
| 20
| 154
| 5.5
| 0.55
| 0.145455
| 0.2
| 0.236364
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007299
| 0.11039
| 154
| 5
| 46
| 30.8
| 0.79562
| 0.136364
| 0
| 0
| 0
| 0
| 0.189394
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
88989651f55d1308ca078002d046e1bcf8ce392a
| 3,089
|
py
|
Python
|
resize_images.py
|
chadwickcasp/iMaterialistMRCNN
|
76b53ebd50f9fb13148579a3a4b10451fa163cda
|
[
"Apache-2.0"
] | 3
|
2020-01-10T15:50:59.000Z
|
2020-11-25T20:22:36.000Z
|
resize_images.py
|
chadwickcasp/iMaterialistMRCNN
|
76b53ebd50f9fb13148579a3a4b10451fa163cda
|
[
"Apache-2.0"
] | null | null | null |
resize_images.py
|
chadwickcasp/iMaterialistMRCNN
|
76b53ebd50f9fb13148579a3a4b10451fa163cda
|
[
"Apache-2.0"
] | null | null | null |
import PIL
from PIL import Image, ImageFile
import matplotlib
import matplotlib.pyplot as plt
import os
MAX_DIM = 512
ImageFile.LOAD_TRUNCATED_IMAGES = True
if __name__ == '__main__':
# for parent, dirs, files in os.walk('./imaterialist-fashion-2019-FGVC6/train/'):
# for i, file in enumerate(files):
# print("On file: {}, {}/{}".format(file, i+1, len(files)))
# # path = './imaterialist-fashion-2019-FGVC6/train/770bb4e147515d73c0e137f21973fba1 (copy).jpg'
# path = './imaterialist-fashion-2019-FGVC6/train/'+file
# try:
# raw_img = Image.open(path).convert("RGB")
# except OSError as e:
# print(e)
# width, height = raw_img.width, raw_img.height
# # Resize so the max dimension for each image is MAX_DIM in size
# ratio = min(MAX_DIM/width, MAX_DIM/height)
# if ratio < 1.:
# resize_shape = (int(round(ratio*width)), int(round(ratio*height)))
# raw_img = raw_img.resize(resize_shape,
# resample=PIL.Image.LANCZOS)
# # Only uncomment this if you're SUPER sure of yourself
# raw_img.save(path)
skipped_imgs = []
for parent, dirs, files in os.walk('./imaterialist-fashion-2019-FGVC6/test/'):
for i, file in enumerate(files):
print("On file: {}, {}/{}".format(file, i+1, len(files)))
# path = './imaterialist-fashion-2019-FGVC6/train/770bb4e147515d73c0e137f21973fba1 (copy).jpg'
path = './imaterialist-fashion-2019-FGVC6/test/'+file
try:
raw_img = Image.open(path).convert("RGB")
except OSError as e:
print(e)
skipped_imgs.append(path)
continue
width, height = raw_img.width, raw_img.height
# Resize so the max dimension for each image is MAX_DIM in size
ratio = min(MAX_DIM/width, MAX_DIM/height)
if ratio < 1.:
resize_shape = (int(round(ratio*width)), int(round(ratio*height)))
raw_img = raw_img.resize(resize_shape,
resample=PIL.Image.LANCZOS)
# Only uncomment this if you're SUPER sure of yourself
raw_img.save(path)
print(skipped_imgs)
# path = './imaterialist-fashion-2019-FGVC6/train/fef7f887c41ce69ce198374fe4b93995.jpg'
# try:
# raw_img = Image.open(path).convert("RGB")
# except OSError as e:
# raw_img = Image.open(path)
# print(e)
# width, height = raw_img.width, raw_img.height
# # Resize so the max dimension for each image is MAX_DIM in size
# ratio = min(MAX_DIM/width, MAX_DIM/height)
# if ratio < 1.:
# resize_shape = (int(round(ratio*width)), int(round(ratio*height)))
# raw_img = raw_img.resize(resize_shape,
# resample=PIL.Image.LANCZOS)
# # Only uncomment this if you're SUPER sure of yourself
# raw_img.save(path)
| 45.426471
| 108
| 0.580123
| 379
| 3,089
| 4.601583
| 0.221636
| 0.065367
| 0.092317
| 0.112385
| 0.868693
| 0.850344
| 0.826261
| 0.826261
| 0.826261
| 0.826261
| 0
| 0.049698
| 0.303011
| 3,089
| 68
| 109
| 45.426471
| 0.760334
| 0.573001
| 0
| 0
| 0
| 0
| 0.083725
| 0.061033
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.185185
| 0
| 0.185185
| 0.111111
| 0
| 0
| 0
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0
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c9bd388fb991524d9a186bb2170db9266cb87875
| 144,907
|
py
|
Python
|
restit/exception/http_error_css.py
|
Rollmops/restit
|
ddc0fc3a4bf0ffed02c59cce5e7a07b3737e1874
|
[
"MIT"
] | 3
|
2020-03-08T19:44:32.000Z
|
2020-03-09T19:46:15.000Z
|
restit/exception/http_error_css.py
|
Rollmops/restit
|
ddc0fc3a4bf0ffed02c59cce5e7a07b3737e1874
|
[
"MIT"
] | 11
|
2020-03-17T14:50:07.000Z
|
2020-04-03T11:20:30.000Z
|
restit/exception/http_error_css.py
|
Rollmops/restit
|
ddc0fc3a4bf0ffed02c59cce5e7a07b3737e1874
|
[
"MIT"
] | null | null | null |
_ERROR_BOOTSTRAP_CSS = """/*!
* Bootstrap v4.0.0 (https://getbootstrap.com)
* Copyright 2011-2018 The Bootstrap Authors
* Copyright 2011-2018 Twitter, Inc.
* Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
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c9e13bb62f2e5bbb1da37752847494880ce0db08
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py
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withings_data/admin.py
|
MPikDev/withings_weight_display
|
8d0a91c949cc9c2f1323db9986f68330cf21e4bf
|
[
"MIT"
] | null | null | null |
withings_data/admin.py
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MPikDev/withings_weight_display
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8d0a91c949cc9c2f1323db9986f68330cf21e4bf
|
[
"MIT"
] | null | null | null |
withings_data/admin.py
|
MPikDev/withings_weight_display
|
8d0a91c949cc9c2f1323db9986f68330cf21e4bf
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from withings_data.models import *
admin.site.register(User)
admin.site.register(DataAccount)
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0
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4e7edb28bf36db81d8fd97be8c399de572994edf
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py
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Python
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OMASS4/FWHM/__init__.py
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DBernardes/OMASS4
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30d2edc961463253cc120bc8ca1d74a0a73d922d
|
[
"MIT"
] | null | null | null |
OMASS4/FWHM/__init__.py
|
DBernardes/OMASS4
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30d2edc961463253cc120bc8ca1d74a0a73d922d
|
[
"MIT"
] | null | null | null |
OMASS4/FWHM/__init__.py
|
DBernardes/OMASS4
|
30d2edc961463253cc120bc8ca1d74a0a73d922d
|
[
"MIT"
] | null | null | null |
from .fwhm import FWHM
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4ed07968e766fdd8ef3243fd98e7df69518b2943
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py
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Python
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src/next_scraper/conf/travis.py
|
EnTeQuAk/next-scraper
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c362ff362976125c142caabd08e224c0156970aa
|
[
"BSD-3-Clause"
] | null | null | null |
src/next_scraper/conf/travis.py
|
EnTeQuAk/next-scraper
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c362ff362976125c142caabd08e224c0156970aa
|
[
"BSD-3-Clause"
] | 8
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2021-03-19T00:17:16.000Z
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2021-12-13T20:34:55.000Z
|
src/next_scraper/conf/travis.py
|
EnTeQuAk/next-scraper
|
c362ff362976125c142caabd08e224c0156970aa
|
[
"BSD-3-Clause"
] | null | null | null |
from next_scraper.conf.test import *
| 18.5
| 36
| 0.810811
| 6
| 37
| 4.833333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.108108
| 37
| 1
| 37
| 37
| 0.878788
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| 0
| 0
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| 0
| 0
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| 0
| 1
| 0
| true
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| 0
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
14c52fac207de48e49c0545141ca505d92b4b4f1
| 139
|
py
|
Python
|
app/__init__.py
|
lovato/precommit-hook
|
8c1545cf33bb28879df57df1aabbe85a455c30c9
|
[
"MIT"
] | 15
|
2017-07-30T20:15:21.000Z
|
2019-06-13T12:16:42.000Z
|
app/__init__.py
|
lovato/precommit-hook
|
8c1545cf33bb28879df57df1aabbe85a455c30c9
|
[
"MIT"
] | 87
|
2017-08-26T10:08:49.000Z
|
2022-02-21T05:35:14.000Z
|
app/__init__.py
|
lovato/precommit-hook
|
8c1545cf33bb28879df57df1aabbe85a455c30c9
|
[
"MIT"
] | 7
|
2017-07-30T17:42:11.000Z
|
2019-10-21T06:32:42.000Z
|
# @Author: collins
# @Date: 2017-06-14T15:44:53+03:00
# @Last modified by: collins
# @Last modified time: 2017-06-16T13:08:50+03:00
| 17.375
| 48
| 0.661871
| 24
| 139
| 3.833333
| 0.708333
| 0.130435
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.310345
| 0.165468
| 139
| 7
| 49
| 19.857143
| 0.482759
| 0.913669
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
093f17efe429887572627bfe1154f4c8d380bd23
| 32
|
py
|
Python
|
env/lib/python3.8/site-packages/sseclient/__init__.py
|
juansjimenez/goodocity-backend
|
77b2ab3f11047e2896e81358b8d8c63d7952b521
|
[
"MIT"
] | 5
|
2018-01-18T11:39:23.000Z
|
2022-01-01T11:38:40.000Z
|
env/lib/python3.8/site-packages/sseclient/__init__.py
|
juansjimenez/goodocity-backend
|
77b2ab3f11047e2896e81358b8d8c63d7952b521
|
[
"MIT"
] | 12
|
2021-10-18T00:37:47.000Z
|
2022-03-09T01:35:20.000Z
|
env/lib/python3.8/site-packages/sseclient/__init__.py
|
juansjimenez/goodocity-backend
|
77b2ab3f11047e2896e81358b8d8c63d7952b521
|
[
"MIT"
] | 4
|
2018-01-18T11:32:38.000Z
|
2021-11-25T23:28:04.000Z
|
from .sseclient import SSEClient
| 32
| 32
| 0.875
| 4
| 32
| 7
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.09375
| 32
| 1
| 32
| 32
| 0.965517
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
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| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
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| 0
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| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
11d4eb9c86b301add1e5a5251a6b779367659578
| 123
|
py
|
Python
|
redis-py/run_test.py
|
nikicc/anaconda-recipes
|
9c611a5854bf41bbc5e7ed9853dc71c0851a62ef
|
[
"BSD-3-Clause"
] | 130
|
2015-07-28T03:41:21.000Z
|
2022-03-16T03:07:41.000Z
|
redis-py/run_test.py
|
nikicc/anaconda-recipes
|
9c611a5854bf41bbc5e7ed9853dc71c0851a62ef
|
[
"BSD-3-Clause"
] | 119
|
2015-08-01T00:54:06.000Z
|
2021-01-05T13:00:46.000Z
|
redis-py/run_test.py
|
nikicc/anaconda-recipes
|
9c611a5854bf41bbc5e7ed9853dc71c0851a62ef
|
[
"BSD-3-Clause"
] | 72
|
2015-07-29T02:35:56.000Z
|
2022-02-26T14:31:15.000Z
|
import redis
#r = redis.StrictRedis(host='localhost', port=6379, db=0)
#r.set('foo', 'bar')
#assert r.get('foo') == 'bar'
| 20.5
| 57
| 0.634146
| 20
| 123
| 3.9
| 0.75
| 0.153846
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.045872
| 0.113821
| 123
| 5
| 58
| 24.6
| 0.669725
| 0.837398
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
eeb971de0f814e20331bbc12c072a81de797fddc
| 898
|
py
|
Python
|
src/authentication/tests/test_login_api.py
|
pykulytsky/freelance-service
|
0f6e36093128ae3e63bd7dcf21959882eae7e683
|
[
"MIT"
] | null | null | null |
src/authentication/tests/test_login_api.py
|
pykulytsky/freelance-service
|
0f6e36093128ae3e63bd7dcf21959882eae7e683
|
[
"MIT"
] | 45
|
2021-01-18T14:01:20.000Z
|
2021-08-02T07:40:10.000Z
|
src/authentication/tests/test_login_api.py
|
pykulytsky/freelance-service
|
0f6e36093128ae3e63bd7dcf21959882eae7e683
|
[
"MIT"
] | 1
|
2021-01-26T09:58:22.000Z
|
2021-01-26T09:58:22.000Z
|
import pytest
from authentication.models import User
from django.urls import reverse
pytestmark = [pytest.mark.django_db]
def test_login_api_works(anon_api, performer_role):
user = User.objects.create_user(username='test', email='test@mail.com', password='1234', role=performer_role, first_name='test', last_name='test', is_active=True)
url = reverse('login')
response = anon_api.post(url, {
'email': user.email,
'password': '1234'
})
assert response.status_code == 200
def test_login_api_get_token(anon_api, performer_role):
user = User.objects.create_user(username='test', email='test@mail.com', password='1234', role=performer_role, first_name='test', last_name='test', is_active=True)
url = reverse('login')
response = anon_api.post(url, {
'email': user.email,
'password': '1234'
})
assert response.data['token']
| 29.933333
| 166
| 0.693764
| 121
| 898
| 4.942149
| 0.363636
| 0.046823
| 0.040134
| 0.050167
| 0.722408
| 0.722408
| 0.722408
| 0.722408
| 0.722408
| 0.722408
| 0
| 0.025333
| 0.164811
| 898
| 29
| 167
| 30.965517
| 0.772
| 0
| 0
| 0.6
| 0
| 0
| 0.119154
| 0
| 0
| 0
| 0
| 0
| 0.1
| 1
| 0.1
| false
| 0.2
| 0.15
| 0
| 0.25
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 6
|
eec75b641c16b59d0a9dfa315b75a4fb40fa7b17
| 244
|
py
|
Python
|
can_tools/scrapers/official/DC/__init__.py
|
jrybacek/can-scrapers
|
1a32a45be6aa6630de4d100c56c2a8659a1b1025
|
[
"MIT"
] | null | null | null |
can_tools/scrapers/official/DC/__init__.py
|
jrybacek/can-scrapers
|
1a32a45be6aa6630de4d100c56c2a8659a1b1025
|
[
"MIT"
] | null | null | null |
can_tools/scrapers/official/DC/__init__.py
|
jrybacek/can-scrapers
|
1a32a45be6aa6630de4d100c56c2a8659a1b1025
|
[
"MIT"
] | null | null | null |
from can_tools.scrapers.official.DC.dc_general import DCGeneral
from can_tools.scrapers.official.DC.dc_deaths import DCDeaths
from can_tools.scrapers.official.DC.dc_base import DCBase
from can_tools.scrapers.official.DC.dc_cases import DCCases
| 48.8
| 63
| 0.868852
| 40
| 244
| 5.1
| 0.375
| 0.137255
| 0.235294
| 0.392157
| 0.627451
| 0.627451
| 0.627451
| 0
| 0
| 0
| 0
| 0
| 0.065574
| 244
| 4
| 64
| 61
| 0.894737
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
eee54a3dee16466ecea0e924dc2d1b68b223d9ad
| 30,226
|
py
|
Python
|
tests/test_coef.py
|
miltondp/clustermatch-gene-expr
|
664bcf9032f53e22165ce7aa586dbf11365a5827
|
[
"BSD-2-Clause-Patent"
] | null | null | null |
tests/test_coef.py
|
miltondp/clustermatch-gene-expr
|
664bcf9032f53e22165ce7aa586dbf11365a5827
|
[
"BSD-2-Clause-Patent"
] | 13
|
2021-08-13T16:02:15.000Z
|
2022-01-31T17:56:57.000Z
|
tests/test_coef.py
|
miltondp/clustermatch-gene-expr
|
664bcf9032f53e22165ce7aa586dbf11365a5827
|
[
"BSD-2-Clause-Patent"
] | 1
|
2021-08-09T14:57:40.000Z
|
2021-08-09T14:57:40.000Z
|
from concurrent.futures import ThreadPoolExecutor
from random import shuffle
import numpy as np
import pandas as pd
from sklearn.preprocessing import minmax_scale
from sklearn.metrics import adjusted_rand_score as ari
from clustermatch.coef import (
cm,
_get_range_n_clusters,
run_quantile_clustering,
_get_perc_from_k,
_get_parts,
get_coords_from_index,
cdist_parts_basic,
cdist_parts_parallel,
get_chunks,
)
def test_get_perc_from_k_with_k_less_than_two():
assert _get_perc_from_k(1) == []
assert _get_perc_from_k(0) == []
assert _get_perc_from_k(-1) == []
def test_get_perc_from_k():
assert _get_perc_from_k(2) == [0.5]
assert np.round(_get_perc_from_k(3), 3).tolist() == [0.333, 0.667]
assert _get_perc_from_k(4) == [0.25, 0.50, 0.75]
def test_run_quantile_clustering_with_two_clusters01():
# Prepare
np.random.seed(0)
data = np.concatenate(
(
np.random.normal(0, 1, 10),
np.random.normal(5, 1, 10),
)
)
data_ref = np.concatenate(([0] * 10, [1] * 10))
idx_shuffled = list(range(len(data)))
shuffle(idx_shuffled)
data = data[idx_shuffled]
data_ref = data_ref[idx_shuffled]
# Run
part = run_quantile_clustering(data, 2)
# Validate
assert part is not None
assert len(part) == 20
assert len(np.unique(part)) == 2
assert ari(data_ref, part) == 1.0, ari(data_ref, part)
def test_run_quantile_clustering_with_two_clusters_mixed():
# Prepare
np.random.seed(0)
data = np.concatenate(
(
np.random.normal(-3, 0.5, 5),
np.random.normal(0, 1, 5),
np.random.normal(5, 1, 5),
np.random.normal(10, 1, 5),
)
)
data_ref = np.concatenate(([0] * 10, [1] * 10))
idx_shuffled = list(range(len(data)))
shuffle(idx_shuffled)
data = data[idx_shuffled]
data_ref = data_ref[idx_shuffled]
# Run
part = run_quantile_clustering(data, 2)
# Validate
assert part is not None
assert len(part) == 20
assert len(np.unique(part)) == 2
assert ari(data_ref, part) == 1.0, ari(data_ref, part)
def test_run_quantile_clustering_with_four_clusters():
# Prepare
np.random.seed(0)
data = np.concatenate(
(
np.random.normal(-3, 0.5, 5),
np.random.normal(0, 1, 5),
np.random.normal(5, 1, 5),
np.random.normal(10, 1, 5),
)
)
data_ref = np.concatenate(([0] * 5, [1] * 5, [2] * 5, [3] * 5))
idx_shuffled = list(range(len(data)))
shuffle(idx_shuffled)
data = data[idx_shuffled]
data_ref = data_ref[idx_shuffled]
# Run
part = run_quantile_clustering(data, 4)
# Validate
assert part is not None
assert len(part) == 20
assert len(np.unique(part)) == 4
assert ari(data_ref, part) == 1.0
def test_get_range_n_clusters_without_internal_n_clusters():
# 100 features
range_n_clusters = _get_range_n_clusters(100)
assert range_n_clusters is not None
np.testing.assert_array_equal(
range_n_clusters, np.array([2, 3, 4, 5, 6, 7, 8, 9, 10])
)
# 25 features
range_n_clusters = _get_range_n_clusters(25)
assert range_n_clusters is not None
np.testing.assert_array_equal(range_n_clusters, np.array([2, 3, 4, 5]))
def test_get_range_n_clusters_with_internal_n_clusters_is_list():
# 100 features
range_n_clusters = _get_range_n_clusters(
100,
internal_n_clusters=[
2,
],
)
assert range_n_clusters is not None
np.testing.assert_array_equal(range_n_clusters, np.array([2]))
# 25 features
range_n_clusters = _get_range_n_clusters(
25,
internal_n_clusters=[
2,
],
)
assert range_n_clusters is not None
np.testing.assert_array_equal(range_n_clusters, np.array([2]))
# 25 features
range_n_clusters = _get_range_n_clusters(25, internal_n_clusters=[2, 3, 4])
assert range_n_clusters is not None
np.testing.assert_array_equal(range_n_clusters, np.array([2, 3, 4]))
def test_get_range_n_clusters_with_internal_n_clusters_none():
# 100 features
range_n_clusters = _get_range_n_clusters(100, internal_n_clusters=None)
assert range_n_clusters is not None
np.testing.assert_array_equal(
range_n_clusters, np.array([2, 3, 4, 5, 6, 7, 8, 9, 10])
)
# 25 features
range_n_clusters = _get_range_n_clusters(25, internal_n_clusters=None)
assert range_n_clusters is not None
np.testing.assert_array_equal(range_n_clusters, np.array([2, 3, 4, 5]))
def test_get_range_n_clusters_with_internal_n_clusters_has_single_int():
# 100 features
range_n_clusters = _get_range_n_clusters(100, internal_n_clusters=[2])
assert range_n_clusters is not None
np.testing.assert_array_equal(range_n_clusters, np.array([2]))
# 25 features
range_n_clusters = _get_range_n_clusters(25, internal_n_clusters=[3])
assert range_n_clusters is not None
np.testing.assert_array_equal(range_n_clusters, np.array([3]))
# 5 features
range_n_clusters = _get_range_n_clusters(5, internal_n_clusters=[4])
assert range_n_clusters is not None
np.testing.assert_array_equal(range_n_clusters, np.array([4]))
# 25 features but invalid number of clusters
range_n_clusters = _get_range_n_clusters(25, internal_n_clusters=[1])
assert range_n_clusters is not None
np.testing.assert_array_equal(range_n_clusters, np.array([]))
# 25 features but invalid number of clusters
range_n_clusters = _get_range_n_clusters(25, internal_n_clusters=[25])
assert range_n_clusters is not None
np.testing.assert_array_equal(range_n_clusters, np.array([]))
def test_get_range_n_clusters_with_internal_n_clusters_are_less_than_two():
# 100 features
range_n_clusters = _get_range_n_clusters(100, internal_n_clusters=[1, 2, 3, 4])
assert range_n_clusters is not None
np.testing.assert_array_equal(range_n_clusters, np.array([2, 3, 4]))
range_n_clusters = _get_range_n_clusters(100, internal_n_clusters=[1, 2, 1, 4])
assert range_n_clusters is not None
np.testing.assert_array_equal(range_n_clusters, np.array([2, 4]))
range_n_clusters = _get_range_n_clusters(100, internal_n_clusters=[1, 2, 3, 1])
assert range_n_clusters is not None
np.testing.assert_array_equal(range_n_clusters, np.array([2, 3]))
range_n_clusters = _get_range_n_clusters(100, internal_n_clusters=[1, 2, 0, 4])
assert range_n_clusters is not None
np.testing.assert_array_equal(range_n_clusters, np.array([2, 4]))
range_n_clusters = _get_range_n_clusters(100, internal_n_clusters=[1, 2, 1, -4, 6])
assert range_n_clusters is not None
np.testing.assert_array_equal(range_n_clusters, np.array([2, 6]))
def test_get_range_n_clusters_with_internal_n_clusters_are_repeated():
# 100 features
range_n_clusters = _get_range_n_clusters(100, internal_n_clusters=[2, 3, 2, 4])
assert range_n_clusters is not None
np.testing.assert_array_equal(range_n_clusters, np.array([2, 3, 4]))
range_n_clusters = _get_range_n_clusters(100, internal_n_clusters=[2, 2, 2])
assert range_n_clusters is not None
np.testing.assert_array_equal(range_n_clusters, np.array([2]))
def test_get_range_n_clusters_with_very_few_features():
# 3 features
range_n_clusters = _get_range_n_clusters(3)
assert range_n_clusters is not None
np.testing.assert_array_equal(range_n_clusters, np.array([2]))
# 2 features
range_n_clusters = _get_range_n_clusters(2)
assert range_n_clusters is not None
np.testing.assert_array_equal(range_n_clusters, np.array([]))
# 1 features
range_n_clusters = _get_range_n_clusters(1)
assert range_n_clusters is not None
np.testing.assert_array_equal(range_n_clusters, np.array([]))
# 0 features
range_n_clusters = _get_range_n_clusters(0)
assert range_n_clusters is not None
np.testing.assert_array_equal(range_n_clusters, np.array([]))
def test_get_range_n_clusters_with_larger_k_than_features():
# 10 features
range_n_clusters = _get_range_n_clusters(10, internal_n_clusters=[10])
assert range_n_clusters is not None
np.testing.assert_array_equal(range_n_clusters, np.array([]))
# 10 features
range_n_clusters = _get_range_n_clusters(10, internal_n_clusters=[11])
assert range_n_clusters is not None
np.testing.assert_array_equal(range_n_clusters, np.array([]))
def test_get_range_n_clusters_with_default_max_k():
range_n_clusters = _get_range_n_clusters(200)
assert range_n_clusters is not None
np.testing.assert_array_equal(
range_n_clusters, np.array([2, 3, 4, 5, 6, 7, 8, 9, 10])
)
def test_cm_basic():
# Prepare
np.random.seed(123)
# two features on 100 objects (random data)
feature0 = np.random.rand(100)
feature1 = np.random.rand(100)
# Run
cm_value = cm(feature0, feature1)
assert cm_value is not None
assert isinstance(cm_value, float)
def test_cm_ari_is_negative():
# Prepare
np.random.seed(123)
# two features on 100 objects (random data)
feature0 = np.array([1, 2, 3, 4, 5])
feature1 = np.array([2, 4, 1, 3, 5])
# Run
cm_value = cm(feature0, feature1)
# Validate
# ari for this example is -0.25, but cm should return 0.0
assert cm_value == 0.0
def test_cm_random_data():
# Prepare
np.random.seed(123)
for i in range(10):
# two features on 100 objects (random data)
feature0 = minmax_scale(
np.random.rand(100), (-1.0, 1.0)
) # with negative values
feature1 = np.random.rand(100) # all positive values between 0 and 1
# Run
cm_value = cm(feature0, feature1)
# Validate
assert 0.0 <= cm_value < 0.05
def test_cm_linear():
# Prepare
np.random.seed(0)
# two features on 100 objects with a linear relationship
feature0 = np.random.rand(100)
feature1 = feature0 * 5.0
# Run
cm_value = cm(feature0, feature1)
# Validate
assert cm_value == 1.0
def test_cm_quadratic():
# Prepare
np.random.seed(1)
# two features on 100 objects with a linear relationship
feature0 = minmax_scale(np.random.rand(100), (-1.0, 1.0))
feature1 = np.power(feature0, 2.0)
# Run
cm_value = cm(feature0, feature1)
# Validate
assert cm_value > 0.40
def test_cm_quadratic2():
# Prepare
np.random.seed(1)
# two features on 100 objects with a linear relationship
feature0 = minmax_scale(np.random.rand(100), (-1.0, 1.0))
feature1 = np.power(feature0, 2.0) + (0.10 * np.random.rand(feature0.shape[0]))
# Run
cm_value = cm(feature0, feature1)
# Validate
assert cm_value > 0.40
def test_cm_one_feature_with_all_same_values():
# if there is no variation in at least one of the two variables to be
# compared, clustermatch returns nan
# Prepare
np.random.seed(0)
# two features on 100 objects; all values in feature1 are the same
feature0 = np.random.rand(100)
feature1 = np.array([5] * feature0.shape[0])
# Run
cm_value = cm(feature0, feature1)
# Validate
assert np.isnan(cm_value), cm_value
def test_cm_all_features_with_all_same_values():
# if there is no variation in both variables to be compared, clustermatch
# returns nan
# Prepare
np.random.seed(0)
# two features with constant values
feature0 = np.array([0] * 100)
feature1 = np.array([5] * feature0.shape[0])
# Run
cm_value = cm(feature0, feature1)
# Validate
assert np.isnan(cm_value)
def test_cm_single_argument_is_matrix():
np.random.seed(0)
# two features on 100 objects with a linear relationship
feature0 = np.random.rand(100)
feature1 = feature0 * 5.0
feature2 = np.random.rand(feature0.shape[0])
input_data = np.array([feature0, feature1, feature2])
# Run
cm_value = cm(input_data)
# Validate
assert cm_value is not None
assert hasattr(cm_value, "shape")
assert cm_value.shape == (3,)
# assert np.array_equal(np.diag(cm_value), np.ones(cm_value.shape[0]))
assert cm_value[0] == 1.0
assert cm_value[1] < 0.03
assert cm_value[2] < 0.03
def test_cm_x_y_are_pandas_series():
# Prepare
np.random.seed(123)
# two features on 100 objects (random data)
feature0 = pd.Series(np.random.rand(100))
feature1 = pd.Series(np.random.rand(100))
# Run
cm_value = cm(feature0, feature1)
# Validate
assert cm_value is not None
assert isinstance(cm_value, float)
def test_cm_x_is_pandas_dataframe():
# Prepare
np.random.seed(123)
# two features on 100 objects (random data)
data_matrix = pd.DataFrame(np.random.rand(10, 100))
# Run
cm_value = cm(data_matrix)
# Validate
assert cm_value is not None
assert isinstance(cm_value, np.ndarray)
assert cm_value.shape == (45,)
assert np.issubdtype(cm_value.dtype, float)
def test_cm_integer_overflow_random():
# Prepare
np.random.seed(0)
# two features on 100 objects with a linear relationship
feature0 = np.random.rand(1000000)
feature1 = np.random.rand(1000000)
# Run
cm_value = cm(feature0, feature1)
assert 0.0 <= cm_value <= 0.01
def test_cm_integer_overflow_perfect_match():
# Prepare
np.random.seed(0)
# two features on 100 objects with a linear relationship
feature0 = np.random.rand(1000000)
# Run
cm_value = cm(feature0, feature0)
assert cm_value == 1.0
def test_get_parts_simple():
np.random.seed(0)
feature0 = np.random.rand(100)
# run
parts = _get_parts(feature0, (2,))
assert parts is not None
assert len(parts) == 1
assert len(np.unique(parts[0])) == 2
parts = _get_parts(feature0, (2, 3))
assert parts is not None
assert len(parts) == 2
assert len(np.unique(parts[0])) == 2
assert len(np.unique(parts[1])) == 3
def test_get_parts_with_singletons():
np.random.seed(0)
feature0 = np.array([1.3] * 10)
# run
parts = _get_parts(feature0, (2,))
assert parts is not None
assert len(parts) == 1
np.testing.assert_array_equal(np.unique(parts[0]), np.array([-1]))
parts = _get_parts(feature0, (2, 3))
assert parts is not None
assert len(parts) == 2
np.testing.assert_array_equal(np.unique(parts[0]), np.array([-1]))
np.testing.assert_array_equal(np.unique(parts[1]), np.array([-1]))
def test_cdist_parts_one_vs_one():
from scipy.spatial.distance import cdist
from sklearn.metrics import adjusted_rand_score as ari
parts0 = np.array(
[
[1, 1, 2, 2, 3, 3],
]
)
parts1 = np.array(
[
[3, 3, 1, 1, 2, 2],
]
)
expected_cdist = cdist(parts0, parts1, metric=ari)
np.testing.assert_array_equal(expected_cdist, np.array([[1.0]]))
# basic version (one thread)
observed_cdist = cdist_parts_basic(parts0, parts1)
np.testing.assert_array_equal(observed_cdist, expected_cdist)
# with one thread
with ThreadPoolExecutor(max_workers=1) as executor:
observed_cdist = cdist_parts_parallel(parts0, parts1, executor)
np.testing.assert_array_equal(observed_cdist, expected_cdist)
# with two threads
with ThreadPoolExecutor(max_workers=2) as executor:
observed_cdist = cdist_parts_parallel(parts0, parts1, executor)
np.testing.assert_array_equal(observed_cdist, expected_cdist)
def test_cdist_parts_one_vs_one_dissimilar():
from scipy.spatial.distance import cdist
from sklearn.metrics import adjusted_rand_score as ari
parts0 = np.array(
[
[1, 1, 2, 1, 3, 3],
]
)
parts1 = np.array(
[
[3, 3, 1, 1, 2, 3],
]
)
expected_cdist = cdist(parts0, parts1, metric=ari)
np.testing.assert_array_equal(expected_cdist, np.array([[-0.022727272727272728]]))
# basic version (one thread)
observed_cdist = cdist_parts_basic(parts0, parts1)
np.testing.assert_array_equal(observed_cdist, expected_cdist)
# with one thread
with ThreadPoolExecutor(max_workers=1) as executor:
observed_cdist = cdist_parts_parallel(parts0, parts1, executor)
np.testing.assert_array_equal(observed_cdist, expected_cdist)
# with two threads
with ThreadPoolExecutor(max_workers=2) as executor:
observed_cdist = cdist_parts_parallel(parts0, parts1, executor)
np.testing.assert_array_equal(observed_cdist, expected_cdist)
def test_cdist_parts_one_vs_two():
from scipy.spatial.distance import cdist
from sklearn.metrics import adjusted_rand_score as ari
parts0 = np.array(
[
[1, 1, 2, 1, 3, 3],
]
)
parts1 = np.array(
[
[3, 3, 1, 1, 2, 3],
[3, 3, 1, 1, 2, 2],
]
)
expected_cdist = cdist(parts0, parts1, metric=ari)
np.testing.assert_array_equal(
expected_cdist,
np.array(
[
[-0.022727272727272728, 0.4444444444444444],
]
),
)
# basic version (one thread)
observed_cdist = cdist_parts_basic(parts0, parts1)
np.testing.assert_array_equal(observed_cdist, expected_cdist)
# with one thread
with ThreadPoolExecutor(max_workers=1) as executor:
observed_cdist = cdist_parts_parallel(parts0, parts1, executor)
np.testing.assert_array_equal(observed_cdist, expected_cdist)
# with two threads
with ThreadPoolExecutor(max_workers=2) as executor:
observed_cdist = cdist_parts_parallel(parts0, parts1, executor)
np.testing.assert_array_equal(observed_cdist, expected_cdist)
def test_cdist_parts_two_vs_two():
from scipy.spatial.distance import cdist
from sklearn.metrics import adjusted_rand_score as ari
parts0 = np.array(
[
[1, 1, 2, 2, 3, 3],
[1, 1, 2, 1, 3, 3],
]
)
parts1 = np.array(
[
[3, 3, 1, 1, 2, 3],
[3, 3, 1, 1, 2, 2],
]
)
expected_cdist = cdist(parts0, parts1, metric=ari)
np.testing.assert_array_equal(
expected_cdist,
np.array(
[
[0.4444444444444444, 1.0],
[-0.022727272727272728, 0.4444444444444444],
]
),
)
# basic version (one thread)
observed_cdist = cdist_parts_basic(parts0, parts1)
np.testing.assert_array_equal(observed_cdist, expected_cdist)
# with one thread
with ThreadPoolExecutor(max_workers=1) as executor:
observed_cdist = cdist_parts_parallel(parts0, parts1, executor)
np.testing.assert_array_equal(observed_cdist, expected_cdist)
# with two threads
with ThreadPoolExecutor(max_workers=2) as executor:
observed_cdist = cdist_parts_parallel(parts0, parts1, executor)
np.testing.assert_array_equal(observed_cdist, expected_cdist)
def test_get_coords_from_index():
# data is an example with n_obj = 5 just to illustrate
# data = np.array(
# [
# [10, 11],
# [23, 22],
# [27, 26],
# [37, 36],
# [47, 46],
# ]
# )
n_obj = 5
# index: 0 -> (0, 1) (row_idx, col_idx)
res = get_coords_from_index(n_obj, 0)
assert res == (0, 1)
res = get_coords_from_index(n_obj, 1)
assert res == (0, 2)
res = get_coords_from_index(n_obj, 3)
assert res == (0, 4)
res = get_coords_from_index(n_obj, 4)
assert res == (1, 2)
# index: 9, the last one
res = get_coords_from_index(n_obj, 9)
assert res == (3, 4)
def test_get_coords_from_index_smaller():
# data is an example with n_obj = 5 just to illustrate
# data = np.array(
# [
# [10, 11],
# [23, 22],
# [27, 26],
# [37, 36],
# ]
# )
n_obj = 4
# index: 0 -> (0, 1) (row_idx, col_idx)
res = get_coords_from_index(n_obj, 0)
assert res == (0, 1)
res = get_coords_from_index(n_obj, 1)
assert res == (0, 2)
res = get_coords_from_index(n_obj, 2)
assert res == (0, 3)
res = get_coords_from_index(n_obj, 3)
assert res == (1, 2)
# index: 5, the last one
res = get_coords_from_index(n_obj, 5)
assert res == (2, 3)
def test_cm_values_equal_to_original_implementation():
# compare with results obtained from the original clustermatch
# implementation (https://github.com/sinc-lab/clustermatch) plus some
# patches (see tests/data/README.md about clustermatch data).
from pathlib import Path
import pandas as pd
# from pandas.testing import assert_frame_equal
input_data_dir = Path(__file__).parent / "data"
# load data
data = pd.read_pickle(input_data_dir / "clustermatch-random_data-data.pkl")
data = data.to_numpy()
# run new clustermatch implementation.
# Here, I fixed the internal number of clusters, since that slightly changed
# in the new implementation compared with the original one.
corr_mat = cm(data, internal_n_clusters=list(range(2, 10 + 1)))
expected_corr_matrix = pd.read_pickle(
input_data_dir / "clustermatch-random_data-coef.pkl"
)
expected_corr_matrix = expected_corr_matrix.to_numpy()
expected_corr_matrix = expected_corr_matrix[
np.triu_indices(expected_corr_matrix.shape[0], 1)
]
np.testing.assert_almost_equal(
expected_corr_matrix,
corr_mat,
)
def test_cm_return_parts_quadratic():
# Prepare
np.random.seed(0)
# two features with a quadratic relationship
feature0 = np.array([-4, -3, -2, -1, 0, 0, 1, 2, 3, 4])
feature1 = np.array([10, 9, 8, 7, 6, 6, 7, 8, 9, 10])
# Run
cm_value, max_parts, parts = cm(
feature0, feature1, internal_n_clusters=[2, 3], return_parts=True
)
# Validate
assert cm_value.round(2) == 0.31
assert parts is not None
assert len(parts) == 2
assert parts[0].shape == (2, 10)
assert len(np.unique(parts[0][0])) == 2
assert len(np.unique(parts[0][1])) == 3
assert parts[1].shape == (2, 10)
assert len(np.unique(parts[1][0])) == 2
assert len(np.unique(parts[1][1])) == 3
assert max_parts is not None
assert hasattr(max_parts, "shape")
assert max_parts.shape == (2,)
# the set of partitions that maximize ari is:
# - k == 3 for feature0
# - k == 2 for feature1
np.testing.assert_array_equal(max_parts, np.array([1, 0]))
def test_cm_return_parts_linear():
# Prepare
np.random.seed(0)
# two features on 100 objects with a linear relationship
feature0 = np.random.rand(100)
feature1 = feature0 * 5.0
# Run
cm_value, max_parts, parts = cm(feature0, feature1, return_parts=True)
# Validate
assert cm_value == 1.0
assert parts is not None
assert len(parts) == 2
assert parts[0].shape == (9, 100)
assert parts[1].shape == (9, 100)
assert max_parts is not None
assert hasattr(max_parts, "shape")
assert max_parts.shape == (2,)
# even in this test we do not specify internal_n_clusters (so it goes from
# k=2 to k=10, nine partitions), k=2 for both features should already have
# the maximum value
np.testing.assert_array_equal(max_parts, np.array([0, 0]))
def test_get_chunks_n_large():
# n = 100 (even)
n_comp = 100
n_threads = 2
cs = get_chunks(n_comp, n_threads)
assert len(cs) == 2
assert set(map(len, cs)) == {50}
assert {x for i in cs for x in i} == set(np.arange(n_comp))
# n = 100 (even)
n_comp = 100
n_threads = 5
cs = get_chunks(n_comp, n_threads)
assert len(cs) == 5
assert set(map(len, cs)) == {20}
assert {x for i in cs for x in i} == set(np.arange(n_comp))
# n = 100 (even) not equal groups
n_comp = 100
n_threads = 8
cs = get_chunks(n_comp, n_threads)
assert len(cs) == 8
assert set(map(len, cs)) == {9, 13}
assert {x for i in cs for x in i} == set(np.arange(n_comp))
# n = 101 (odd)
n_comp = 101
n_threads = 2
cs = get_chunks(n_comp, n_threads)
assert len(cs) == 2
assert set(map(len, cs)) == {50, 51}
assert {x for i in cs for x in i} == set(np.arange(n_comp))
def test_get_chunks_n_small():
# n = 10
n_comp = 10
n_threads = 2
cs = get_chunks(n_comp, n_threads)
# for this cases, an automatic ratio will avoid singleton chunks, and
# instead will generate n_threads groups
assert len(cs) == 2
assert set(map(len, cs)) == {5}
assert {x for i in cs for x in i} == set(np.arange(n_comp))
# n = 10
n_comp = 10
n_threads = 5
cs = get_chunks(n_comp, n_threads)
assert len(cs) == 5
assert set(map(len, cs)) == {2}
assert {x for i in cs for x in i} == set(np.arange(n_comp))
# n = 11
n_comp = 11
n_threads = 2
cs = get_chunks(n_comp, n_threads)
# for this case, it will avoid singleton chunks
assert len(cs) == 2
assert set(map(len, cs)) == {5, 6}
assert {x for i in cs for x in i} == set(np.arange(n_comp))
# n = 10 and n_threads is odd
n_comp = 10
n_threads = 3
cs = get_chunks(n_comp, n_threads)
assert len(cs) == 3
assert set(map(len, cs)) == {4, 2}
assert {x for i in cs for x in i} == set(np.arange(n_comp))
def test_get_chunks_n_small_n_threads_large():
# in all these cases, n_thread is larger than n_comp / 2, but always
# smaller than n_comp. The problem in this test is that we want to make sure
# that we are using all threads
# n_threads = 6
n_comp = 10
n_threads = 6
cs = get_chunks(n_comp, n_threads)
assert len(cs) == 6
assert set(map(len, cs)) == {1, 2}
assert {x for i in cs for x in i} == set(np.arange(n_comp))
# n_threads = 7
n_comp = 10
n_threads = 7
cs = get_chunks(n_comp, n_threads)
assert len(cs) == 7
assert set(map(len, cs)) == {1, 2}
assert {x for i in cs for x in i} == set(np.arange(n_comp))
# n_threads = 8
n_comp = 10
n_threads = 8
cs = get_chunks(n_comp, n_threads)
assert len(cs) == 8
assert set(map(len, cs)) == {1, 2}
assert {x for i in cs for x in i} == set(np.arange(n_comp))
# n_threads = 9
n_comp = 10
n_threads = 9
cs = get_chunks(n_comp, n_threads)
assert len(cs) == 9
assert set(map(len, cs)) == {1, 2}
assert {x for i in cs for x in i} == set(np.arange(n_comp))
def test_get_chunks_n_small_n_threads_very_large():
# in all these cases, n_thread is at least as large as n_comp.
# that we are using all threads
# n_threads = 10
n_comp = 10
n_threads = 10
cs = get_chunks(n_comp, n_threads)
assert len(cs) == 10
assert set(map(len, cs)) == {1}
assert {x for i in cs for x in i} == set(np.arange(n_comp))
# n_threads = 11
n_comp = 10
n_threads = 11
cs = get_chunks(n_comp, n_threads)
assert len(cs) == 10
assert set(map(len, cs)) == {1}
assert {x for i in cs for x in i} == set(np.arange(n_comp))
def test_get_chunks_ratio_is_one():
n_comp = 10
n_threads = 2
ratio = 1
cs = get_chunks(n_comp, n_threads, ratio)
assert len(cs) == 2
assert set(map(len, cs)) == {5}
assert {x for i in cs for x in i} == set(np.arange(n_comp))
def test_get_chunks_ratio_is_two():
n_comp = 10
n_threads = 2
ratio = 2
cs = get_chunks(n_comp, n_threads, ratio)
assert len(cs) == 4
assert set(map(len, cs)) == {1, 3}
assert {x for i in cs for x in i} == set(np.arange(n_comp))
def test_get_chunks_ratio_is_large():
# ratio = 4
n_comp = 10
n_threads = 2
ratio = 4
cs = get_chunks(n_comp, n_threads, ratio)
assert len(cs) == 8
assert set(map(len, cs)) == {1, 2}
assert {x for i in cs for x in i} == set(np.arange(n_comp))
# ratio = 5
n_comp = 10
n_threads = 2
ratio = 5
cs = get_chunks(n_comp, n_threads, ratio)
assert len(cs) == 10
assert set(map(len, cs)) == {1}
assert {x for i in cs for x in i} == set(np.arange(n_comp))
# ratio = 6
n_comp = 10
n_threads = 2
ratio = 6
cs = get_chunks(n_comp, n_threads, ratio)
assert len(cs) == 10
assert set(map(len, cs)) == {1}
assert {x for i in cs for x in i} == set(np.arange(n_comp))
def test_get_chunks_iterable():
# here the first argument is an iterable, not an integer
# n_threads = 2
iterable = np.arange(10)
n_threads = 2
cs = get_chunks(iterable, n_threads)
assert len(cs) == 2
assert set(map(len, cs)) == {5}
assert {x for i in cs for x in i} == set(iterable)
# n_threads = 10
iterable = np.arange(10)
n_threads = 10
cs = get_chunks(iterable, n_threads)
assert len(cs) == 10
assert set(map(len, cs)) == {1}
assert {x for i in cs for x in i} == set(iterable)
def test_cm_data_is_binary_evenly_distributed():
# Prepare
np.random.seed(0)
# two features with a quadratic relationship
feature0 = np.array([1, 1, 1, 1, 1, 0, 0, 0, 0, 0])
feature1 = np.random.rand(10)
# Run
cm_value, max_parts, parts = cm(
feature0, feature1, internal_n_clusters=[2], return_parts=True
)
# Validate
assert cm_value < 0.05
assert parts is not None
assert len(parts) == 2
assert parts[0].shape == (1, 10)
# the partition should separate true from false values in data
assert ari(parts[0][0], feature0) == 1.0
def test_cm_data_is_binary_not_evenly_distributed():
# Prepare
np.random.seed(0)
# two features with a quadratic relationship
feature0 = np.array([1, 1, 1, 1, 1, 1, 1, 1, 0, 0])
feature1 = np.random.rand(10)
# Run
cm_value, max_parts, parts = cm(
feature0, feature1, internal_n_clusters=[2], return_parts=True
)
# Validate
assert cm_value < 0.05
assert parts is not None
assert len(parts) == 2
assert parts[0].shape == (1, 10)
# the partition should separate true from false values in data
assert ari(parts[0][0], feature0) == 1.0
| 27.378623
| 87
| 0.649672
| 4,679
| 30,226
| 3.953195
| 0.065399
| 0.070065
| 0.086284
| 0.050819
| 0.856085
| 0.82781
| 0.8024
| 0.770395
| 0.741309
| 0.720549
| 0
| 0.054525
| 0.240323
| 30,226
| 1,103
| 88
| 27.403445
| 0.751023
| 0.136141
| 0
| 0.604615
| 0
| 0
| 0.003278
| 0.002546
| 0
| 0
| 0
| 0
| 0.352308
| 1
| 0.073846
| false
| 0
| 0.026154
| 0
| 0.1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
e10128137f10ff6d13f4991e0d63e8be9430cc3d
| 9,466
|
py
|
Python
|
nominals/testing/test_integration/test_audit.py
|
rossm6/accounts
|
74633ce4038806222048d85ef9dfe97a957a6a71
|
[
"MIT"
] | 11
|
2021-01-23T01:09:54.000Z
|
2021-01-25T07:16:30.000Z
|
nominals/testing/test_integration/test_audit.py
|
rossm6/accounts
|
74633ce4038806222048d85ef9dfe97a957a6a71
|
[
"MIT"
] | 7
|
2021-04-06T18:19:10.000Z
|
2021-09-22T19:45:03.000Z
|
nominals/testing/test_integration/test_audit.py
|
rossm6/accounts
|
74633ce4038806222048d85ef9dfe97a957a6a71
|
[
"MIT"
] | 3
|
2021-01-23T18:55:32.000Z
|
2021-02-16T17:47:59.000Z
|
from datetime import date
from accountancy.signals import audit_post_delete
from django.db import models
from django.test import TestCase
from nominals.models import (Nominal, NominalHeader, NominalLine,
NominalTransaction)
from simple_history.models import HistoricalRecords
class NominalAuditTests(TestCase):
def test_simple_history_post_delete_receiver_is_removed(self):
"""
The ready method of the AppConfig calls simple_history_custom_set_up
on the AuditMixin class which disconnects this receiver.
"""
live_receivers = models.signals.post_delete._live_receivers(Nominal)
for receiver in live_receivers:
if receiver.__self__.__class__.__name__ == HistoricalRecords.__name__:
self.fail(
"""
Historical Records receiver not disconnected.
It should be because we are using our own custom signal
which is fired when we delete."""
)
def test_audit_post_delete_signal_is_added(self):
"""
After registering the model and disconnecting the receiver from
the post delete signal we add our receiver to a custom signal
"""
live_receivers = audit_post_delete._live_receivers(Nominal)
found = False
for receiver in live_receivers:
if str(receiver) == "<bound method AuditMixin.post_delete of <class 'nominals.models.Nominal'>>":
found = True
break
if not found:
self.fail(
"Failed to find the post_delete method of the AuditMixin class")
"""
Create and update are taken care of by the app simple_history. Just check here that is working.
"""
def test_audit_is_created(self):
n = Nominal.objects.create(name="nominal")
self.assertEqual(
len(
Nominal.history.all()
),
1 # created audit
)
def test_audit_is_updated(self):
n = Nominal.objects.create(name="nominal")
n.name = "new nominal"
n.save()
self.assertEqual(
len(
Nominal.history.all()
),
2 # created + updated audits
)
def test_instance_deleted(self):
n = Nominal.objects.create(name="nominal")
n.delete()
self.assertEqual(
len(
Nominal.history.all()
),
2 # created + deleted audits
)
def test_queryset_deleted(self):
n = Nominal.objects.create(name="nominal")
Nominal.objects.all().delete()
self.assertEqual(
len(
Nominal.history.all()
),
1 # created audit only
# deleted audit is not created
# use bulk_delete_with_history for deleted audits
)
class NominalHeaderAuditTests(TestCase):
def test_simple_history_post_delete_receiver_is_removed(self):
"""
The ready method of the AppConfig calls simple_history_custom_set_up
on the AuditMixin class which disconnects this receiver.
"""
live_receivers = models.signals.post_delete._live_receivers(
NominalHeader)
for receiver in live_receivers:
if receiver.__self__.__class__.__name__ == HistoricalRecords.__name__:
self.fail(
"""
Historical Records receiver not disconnected.
It should be because we are using our own custom signal
which is fired when we delete."""
)
def test_audit_post_delete_signal_is_added(self):
"""
After registering the model and disconnecting the receiver from
the post delete signal we add our receiver to a custom signal
"""
live_receivers = audit_post_delete._live_receivers(NominalHeader)
found = False
for receiver in live_receivers:
if str(receiver) == "<bound method AuditMixin.post_delete of <class 'nominals.models.NominalHeader'>>":
found = True
break
if not found:
self.fail(
"Failed to find the post_delete method of the AuditMixin class")
"""
Create and update are taken care of by the app simple_history. Just check here that is working.
"""
def test_audit_is_created(self):
n = NominalHeader.objects.create(
ref="1",
date=date.today()
)
self.assertEqual(
len(
NominalHeader.history.all()
),
1 # created audit
)
def test_audit_is_updated(self):
n = NominalHeader.objects.create(
ref="1",
date=date.today()
)
n.ref = "11"
n.save()
self.assertEqual(
len(
NominalHeader.history.all()
),
2 # created + updated audits
)
def test_instance_deleted(self):
n = NominalHeader.objects.create(
ref="1",
date=date.today()
)
n.delete()
self.assertEqual(
len(
NominalHeader.history.all()
),
2 # created + deleted audits
)
def test_queryset_deleted(self):
n = NominalHeader.objects.create(
ref="1",
date=date.today()
)
NominalHeader.objects.all().delete()
self.assertEqual(
len(
NominalHeader.history.all()
),
1 # created audit only
# deleted audit is not created
# use bulk_delete_with_history for deleted audits
)
class NominalLineAuditTests(TestCase):
def test_simple_history_post_delete_receiver_is_removed(self):
"""
The ready method of the AppConfig calls simple_history_custom_set_up
on the AuditMixin class which disconnects this receiver.
"""
live_receivers = models.signals.post_delete._live_receivers(
NominalLine)
for receiver in live_receivers:
if receiver.__self__.__class__.__name__ == HistoricalRecords.__name__:
self.fail(
"""
Historical Records receiver not disconnected.
It should be because we are using our own custom signal
which is fired when we delete."""
)
def test_audit_post_delete_signal_is_added(self):
"""
After registering the model and disconnecting the receiver from
the post delete signal we add our receiver to a custom signal
"""
live_receivers = audit_post_delete._live_receivers(NominalLine)
found = False
for receiver in live_receivers:
if str(receiver) == "<bound method AuditMixin.post_delete of <class 'nominals.models.NominalLine'>>":
found = True
break
if not found:
self.fail(
"Failed to find the post_delete method of the AuditMixin class")
"""
Create and update are taken care of by the app simple_history. Just check here that is working.
"""
def test_audit_is_created(self):
n = Nominal.objects.create(name="n")
h = NominalHeader.objects.create(
ref="1",
date=date.today()
)
l = NominalLine.objects.create(header=h, line_no="1", description="d", nominal=n)
self.assertEqual(
len(
NominalLine.history.all()
),
1 # created audits
)
def test_audit_is_updated(self):
n = Nominal.objects.create(name="n")
h = NominalHeader.objects.create(
ref="1",
date=date.today()
)
l = NominalLine.objects.create(header=h, line_no="1", description="d", nominal=n)
l.line_no = "2"
l.save()
self.assertEqual(
len(
NominalLine.history.all()
),
2 # created + updated audits
)
def test_instance_deleted(self):
n = Nominal.objects.create(name="n")
h = NominalHeader.objects.create(
ref="1",
date=date.today()
)
l = NominalLine.objects.create(header=h, line_no="1", description="d", nominal=n)
l.delete()
self.assertEqual(
len(
NominalLine.history.all()
),
2 # created + deleted audits
)
def test_queryset_deleted(self):
n = Nominal.objects.create(name="n")
h = NominalHeader.objects.create(
ref="1",
date=date.today()
)
l = NominalLine.objects.create(header=h, line_no="1", description="d", nominal=n)
NominalLine.objects.all().delete()
self.assertEqual(
len(
NominalLine.history.all()
),
1 # created audit only
# deleted audit is not created
# use bulk_delete_with_history for deleted audits
)
class NominalTransactionAuditTests(TestCase):
def test_no_historical_model_exists(self):
if hasattr(NominalTransaction, "history"):
self.fail("This model should not be audited")
| 32.982578
| 115
| 0.572047
| 1,005
| 9,466
| 5.197015
| 0.128358
| 0.042121
| 0.041356
| 0.029102
| 0.896611
| 0.882826
| 0.877082
| 0.868849
| 0.817346
| 0.795903
| 0
| 0.004385
| 0.349567
| 9,466
| 286
| 116
| 33.097902
| 0.843917
| 0.130678
| 0
| 0.676471
| 0
| 0
| 0.07285
| 0.022166
| 0
| 0
| 0
| 0
| 0.058824
| 1
| 0.093137
| false
| 0
| 0.029412
| 0
| 0.142157
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
e11556e02ea2f5c46b52795e9780af535bc1de5c
| 3,379
|
py
|
Python
|
app/models/custom_lookup.py
|
arxcdr/silverback
|
212139cbc1a648d1f877d60f2d7c4d750eefc3da
|
[
"BSD-3-Clause"
] | null | null | null |
app/models/custom_lookup.py
|
arxcdr/silverback
|
212139cbc1a648d1f877d60f2d7c4d750eefc3da
|
[
"BSD-3-Clause"
] | null | null | null |
app/models/custom_lookup.py
|
arxcdr/silverback
|
212139cbc1a648d1f877d60f2d7c4d750eefc3da
|
[
"BSD-3-Clause"
] | null | null | null |
"""
Custom Lookup
"""
# Third Party Library
from django.db.models import Lookup
from django.db.models.fields import DateField, DateTimeField
@DateField.register_lookup
@DateTimeField.register_lookup
class DateEqLookup(Lookup):
lookup_name = 'date_c_eq'
def as_sql(self, compiler, connection):
lhs, lhs_params = self.process_lhs(compiler, connection)
rhs, rhs_params = self.process_rhs(compiler, connection)
params = lhs_params + rhs_params
return 'DATE(%s) = DATE(%s)' % (lhs, rhs), params
@DateField.register_lookup
@DateTimeField.register_lookup
class DateLtLookup(Lookup):
lookup_name = 'date_c_lt'
def as_sql(self, compiler, connection):
lhs, lhs_params = self.process_lhs(compiler, connection)
rhs, rhs_params = self.process_rhs(compiler, connection)
params = lhs_params + rhs_params
return 'DATE(%s) < DATE(%s)' % (lhs, rhs), params
@DateField.register_lookup
@DateTimeField.register_lookup
class DateGtLookup(Lookup):
lookup_name = 'date_c_gt'
def as_sql(self, compiler, connection):
lhs, lhs_params = self.process_lhs(compiler, connection)
rhs, rhs_params = self.process_rhs(compiler, connection)
params = lhs_params + rhs_params
return 'DATE(%s) > DATE(%s)' % (lhs, rhs), params
@DateField.register_lookup
@DateTimeField.register_lookup
class DateLtEqLookup(Lookup):
lookup_name = 'date_c_lte'
def as_sql(self, compiler, connection):
lhs, lhs_params = self.process_lhs(compiler, connection)
rhs, rhs_params = self.process_rhs(compiler, connection)
params = lhs_params + rhs_params
return 'DATE(%s) <= DATE(%s)' % (lhs, rhs), params
@DateField.register_lookup
@DateTimeField.register_lookup
class DateGtEqLookup(Lookup):
lookup_name = 'date_c_gte'
def as_sql(self, compiler, connection):
lhs, lhs_params = self.process_lhs(compiler, connection)
rhs, rhs_params = self.process_rhs(compiler, connection)
params = lhs_params + rhs_params
return 'DATE(%s) >= DATE(%s)' % (lhs, rhs), params
@DateField.register_lookup
@DateTimeField.register_lookup
class DateNoEqLookup(Lookup):
lookup_name = 'date_c_noeq'
def as_sql(self, compiler, connection):
lhs, lhs_params = self.process_lhs(compiler, connection)
rhs, rhs_params = self.process_rhs(compiler, connection)
params = lhs_params + rhs_params
return 'DATE(%s) <> DATE(%s)' % (lhs, rhs), params
@DateField.register_lookup
@DateTimeField.register_lookup
class YearEqLookup(Lookup):
lookup_name = 'year_c_eq'
def as_sql(self, compiler, connection):
lhs, lhs_params = self.process_lhs(compiler, connection)
rhs, rhs_params = self.process_rhs(compiler, connection)
params = lhs_params + rhs_params
return 'EXTRACT(YEAR FROM DATE(%s)) = EXTRACT(YEAR FROM DATE(%s))' % (lhs, rhs), params
@DateField.register_lookup
@DateTimeField.register_lookup
class MonthEqLookup(Lookup):
lookup_name = 'month_c_eq'
def as_sql(self, compiler, connection):
lhs, lhs_params = self.process_lhs(compiler, connection)
rhs, rhs_params = self.process_rhs(compiler, connection)
params = lhs_params + rhs_params
return 'EXTRACT(MONTH FROM DATE(%s)) = EXTRACT(MONTH FROM DATE(%s))' % (lhs, rhs), params
| 30.169643
| 97
| 0.698727
| 423
| 3,379
| 5.35461
| 0.111111
| 0.190728
| 0.120088
| 0.127152
| 0.881236
| 0.803974
| 0.792936
| 0.768653
| 0.768653
| 0.768653
| 0
| 0
| 0.192365
| 3,379
| 111
| 98
| 30.441441
| 0.829974
| 0.010062
| 0
| 0.648649
| 0
| 0
| 0.092898
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.108108
| false
| 0
| 0.027027
| 0
| 0.459459
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
012c4c35bedcc68b558091e5597f84117d61548c
| 40
|
py
|
Python
|
lib/storage/__init__.py
|
alt-locator/alt-py
|
d1d620b5115c7209f7633d837ec60ffa88f4d8df
|
[
"MIT"
] | null | null | null |
lib/storage/__init__.py
|
alt-locator/alt-py
|
d1d620b5115c7209f7633d837ec60ffa88f4d8df
|
[
"MIT"
] | 1
|
2018-01-06T07:59:35.000Z
|
2018-01-06T07:59:35.000Z
|
lib/storage/__init__.py
|
alt-locator/alt-py
|
d1d620b5115c7209f7633d837ec60ffa88f4d8df
|
[
"MIT"
] | 1
|
2017-02-09T04:01:07.000Z
|
2017-02-09T04:01:07.000Z
|
import firebase_storage
import location
| 13.333333
| 23
| 0.9
| 5
| 40
| 7
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1
| 40
| 2
| 24
| 20
| 0.972222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
6d680134d4f0d66d7d7ae8be678cf06139ece5cd
| 24
|
py
|
Python
|
sguif/__init__.py
|
sr9000/gui-py-app-framework
|
bc1f1c2ad01b8a860a1da007ffa72627a3cbe48e
|
[
"MIT"
] | null | null | null |
sguif/__init__.py
|
sr9000/gui-py-app-framework
|
bc1f1c2ad01b8a860a1da007ffa72627a3cbe48e
|
[
"MIT"
] | 3
|
2021-06-08T21:09:49.000Z
|
2022-03-12T00:21:27.000Z
|
sguif/__init__.py
|
sr9000/gui-py-app-framework
|
bc1f1c2ad01b8a860a1da007ffa72627a3cbe48e
|
[
"MIT"
] | null | null | null |
from .engine import App
| 12
| 23
| 0.791667
| 4
| 24
| 4.75
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 24
| 1
| 24
| 24
| 0.95
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
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