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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
d3ea1e300a5359c4a9a632eb64b52e8ed77d716e | 144 | py | Python | tests/games/entities/create_players.py | ExiledNarwal28/cardbot | 1e0fa1e9c08b512056c2af0b408eded224c9adbb | [
"MIT"
] | null | null | null | tests/games/entities/create_players.py | ExiledNarwal28/cardbot | 1e0fa1e9c08b512056c2af0b408eded224c9adbb | [
"MIT"
] | 41 | 2020-05-10T20:18:19.000Z | 2020-12-08T10:42:31.000Z | tests/games/entities/create_players.py | ExiledNarwal28/cardbot | 1e0fa1e9c08b512056c2af0b408eded224c9adbb | [
"MIT"
] | null | null | null | from random import randint
from faker import Faker
def create_no():
return randint(1, 99)
def create_name():
return Faker().name()
| 12 | 26 | 0.694444 | 21 | 144 | 4.666667 | 0.571429 | 0.183673 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.026316 | 0.208333 | 144 | 11 | 27 | 13.090909 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | true | 0 | 0.333333 | 0.333333 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 6 |
3116a52f2df9e561aff3135b462d06dc87363f3d | 193 | py | Python | QUANTAXIS/QAFetch/QAcalendar.py | simplezhang57/QUANTAXIS | 0fab23ee3cc4048a30b5eed3c311a5c9cdce8110 | [
"MIT"
] | 2 | 2018-10-29T12:01:55.000Z | 2021-03-05T10:28:59.000Z | QUANTAXIS/QAFetch/QAcalendar.py | frosthaoz/QUANTAXIS | f5f482418e5f6e23ac3530089b8d17300d931b48 | [
"MIT"
] | null | null | null | QUANTAXIS/QAFetch/QAcalendar.py | frosthaoz/QUANTAXIS | f5f482418e5f6e23ac3530089b8d17300d931b48 | [
"MIT"
] | 2 | 2018-11-30T07:52:14.000Z | 2021-05-28T23:00:20.000Z |
from QUANTAXIS_CRAWLY.jrj_simulation_web import get_financial_report_date
def QA_fetch_get_financial_calendar(report_date):
data = get_financial_report_date(report_date)
return(data)
| 27.571429 | 73 | 0.849741 | 28 | 193 | 5.321429 | 0.607143 | 0.268456 | 0.241611 | 0.295302 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.103627 | 193 | 6 | 74 | 32.166667 | 0.861272 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.25 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
317389bb04994d93e5baebec209dc4c3bdb16f9a | 274 | py | Python | python/example/complicated/controller/Greeter.py | kaelzhang/gaea | 1985e257e83232fd1f924ec00e91e227fcc60a60 | [
"MIT"
] | 2 | 2019-04-10T09:12:57.000Z | 2019-05-19T04:09:03.000Z | python/example/complicated/controller/Greeter.py | kaelzhang/gaia | 1985e257e83232fd1f924ec00e91e227fcc60a60 | [
"MIT"
] | 4 | 2019-08-07T10:38:07.000Z | 2020-02-28T05:42:33.000Z | python/example/complicated/controller/Greeter.py | kaelzhang/gaia | 1985e257e83232fd1f924ec00e91e227fcc60a60 | [
"MIT"
] | 2 | 2018-10-09T02:39:06.000Z | 2019-04-10T09:13:00.000Z | # The python implementation which corresponds
# https://github.com/kaelzhang/gaia/blob/master/example/complicated/controller/Greeter.js
import asyncio
def SayHello(helloRequest, HelloReply, this):
return this.service.hello.Greeter.SayHello(helloRequest, HelloReply)
| 34.25 | 91 | 0.810219 | 32 | 274 | 6.9375 | 0.84375 | 0.18018 | 0.27027 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.091241 | 274 | 7 | 92 | 39.142857 | 0.891566 | 0.485401 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0.333333 | 0.333333 | 1 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 6 |
3176f63d7450f84bc3fca940106eff9e9df72053 | 39 | py | Python | drf_yasg_json_api/view_inspectors.py | sKotenok/drf-yasg-json-api | 86afe7e99d02ffca0a915166f2ef7ee8c7f89473 | [
"BSD-3-Clause"
] | 20 | 2020-03-15T16:33:07.000Z | 2022-02-16T02:54:44.000Z | drf_yasg_json_api/view_inspectors.py | sKotenok/drf-yasg-json-api | 86afe7e99d02ffca0a915166f2ef7ee8c7f89473 | [
"BSD-3-Clause"
] | 10 | 2020-04-23T12:38:21.000Z | 2022-01-20T13:29:09.000Z | drf_yasg_json_api/view_inspectors.py | sKotenok/drf-yasg-json-api | 86afe7e99d02ffca0a915166f2ef7ee8c7f89473 | [
"BSD-3-Clause"
] | 5 | 2020-03-15T16:33:12.000Z | 2022-01-14T11:33:18.000Z | from .inspectors.view import * # noqa
| 19.5 | 38 | 0.717949 | 5 | 39 | 5.6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.179487 | 39 | 1 | 39 | 39 | 0.875 | 0.102564 | 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 |
318bf64db3d5c929eb59f932261c98ad8e9c8fca | 54,472 | py | Python | tests/test_generators.py | absanger/sqlacodegen | 8956ac25de08cb57a68a9eb004647a5933eb730f | [
"MIT"
] | 960 | 2017-01-05T20:03:22.000Z | 2022-03-31T06:12:29.000Z | tests/test_generators.py | absanger/sqlacodegen | 8956ac25de08cb57a68a9eb004647a5933eb730f | [
"MIT"
] | 158 | 2016-12-28T15:01:32.000Z | 2022-03-29T09:23:25.000Z | tests/test_generators.py | wtsi-npg/sqlacodegen | 8956ac25de08cb57a68a9eb004647a5933eb730f | [
"MIT"
] | 175 | 2017-01-10T10:13:14.000Z | 2022-03-30T06:54:31.000Z | import sys
from typing import Optional
import pytest
from _pytest.fixtures import FixtureRequest
from sqlalchemy.dialects import mysql, postgresql
from sqlalchemy.engine import Engine, create_engine
from sqlalchemy.schema import (
CheckConstraint, Column, ForeignKey, ForeignKeyConstraint, Index, MetaData, Table,
UniqueConstraint)
from sqlalchemy.sql.expression import text
from sqlalchemy.sql.sqltypes import NullType
from sqlalchemy.types import INTEGER, NUMERIC, SMALLINT, VARCHAR, Text
from sqlacodegen.generators import (
CodeGenerator, DataclassGenerator, DeclarativeGenerator, TablesGenerator, _sqla_version)
# SQLAlchemy 1.3.11+
try:
from sqlalchemy import Computed
except ImportError:
Computed = None
# SQLAlchemy 1.4+
try:
from sqlalchemy import Identity
except ImportError:
Identity = None
if sys.version_info < (3, 7):
future_imports = ""
else:
future_imports = "from __future__ import annotations\n\n"
if _sqla_version < (1, 4):
orm_imports = ("from sqlalchemy.ext.declarative import declarative_base\n"
"from sqlalchemy.orm import relationship")
declarative_package = 'sqlalchemy.ext.declarative'
else:
orm_imports = "from sqlalchemy.orm import declarative_base, relationship"
declarative_package = 'sqlalchemy.orm'
def maybe_quote(obj) -> str:
if sys.version_info < (3, 7):
return repr(str(obj))
else:
return str(obj)
@pytest.fixture
def engine(request: FixtureRequest) -> Engine:
dialect = getattr(request, 'param', None)
if dialect == 'postgresql':
return create_engine('postgresql:///testdb')
elif dialect == 'mysql':
return create_engine('mysql+mysqlconnector://testdb')
else:
return create_engine('sqlite:///:memory:')
@pytest.fixture
def metadata() -> MetaData:
return MetaData()
class TestTablesGenerator:
@pytest.fixture
def generator(self, request: FixtureRequest, metadata: MetaData,
engine: Engine) -> CodeGenerator:
options = getattr(request, 'param', [])
return TablesGenerator(metadata, engine, options)
@pytest.mark.parametrize('engine', ['postgresql'], indirect=['engine'])
def test_fancy_coltypes(self, generator: CodeGenerator) -> None:
Table(
'simple_items', generator.metadata,
Column('enum', postgresql.ENUM('A', 'B', name='blah')),
Column('bool', postgresql.BOOLEAN),
Column('number', NUMERIC(10, asdecimal=False)),
)
assert generator.generate() == """\
from sqlalchemy import Boolean, Column, Enum, MetaData, Numeric, Table
metadata = MetaData()
t_simple_items = Table(
'simple_items', metadata,
Column('enum', Enum('A', 'B', name='blah')),
Column('bool', Boolean),
Column('number', Numeric(10, asdecimal=False))
)
"""
def test_boolean_detection(self, generator: CodeGenerator) -> None:
Table(
'simple_items', generator.metadata,
Column('bool1', INTEGER),
Column('bool2', SMALLINT),
Column('bool3', mysql.TINYINT),
CheckConstraint('simple_items.bool1 IN (0, 1)'),
CheckConstraint('simple_items.bool2 IN (0, 1)'),
CheckConstraint('simple_items.bool3 IN (0, 1)')
)
assert generator.generate() == """\
from sqlalchemy import Boolean, Column, MetaData, Table
metadata = MetaData()
t_simple_items = Table(
'simple_items', metadata,
Column('bool1', Boolean),
Column('bool2', Boolean),
Column('bool3', Boolean)
)
"""
@pytest.mark.parametrize('engine', ['postgresql'], indirect=['engine'])
def test_arrays(self, generator: CodeGenerator) -> None:
Table(
'simple_items', generator.metadata,
Column('dp_array', postgresql.ARRAY(postgresql.DOUBLE_PRECISION(precision=53))),
Column('int_array', postgresql.ARRAY(INTEGER))
)
assert generator.generate() == """\
from sqlalchemy import ARRAY, Column, Float, Integer, MetaData, Table
metadata = MetaData()
t_simple_items = Table(
'simple_items', metadata,
Column('dp_array', ARRAY(Float(precision=53))),
Column('int_array', ARRAY(Integer()))
)
"""
@pytest.mark.parametrize('engine', ['postgresql'], indirect=['engine'])
def test_jsonb(self, generator: CodeGenerator) -> None:
Table(
'simple_items', generator.metadata,
Column('jsonb', postgresql.JSONB(astext_type=Text(50)))
)
assert generator.generate() == """\
from sqlalchemy import Column, MetaData, Table, Text
from sqlalchemy.dialects.postgresql import JSONB
metadata = MetaData()
t_simple_items = Table(
'simple_items', metadata,
Column('jsonb', JSONB(astext_type=Text(length=50)))
)
"""
@pytest.mark.parametrize('engine', ['postgresql'], indirect=['engine'])
def test_jsonb_default(self, generator: CodeGenerator) -> None:
Table(
'simple_items', generator.metadata,
Column('jsonb', postgresql.JSONB)
)
assert generator.generate() == """\
from sqlalchemy import Column, MetaData, Table
from sqlalchemy.dialects.postgresql import JSONB
metadata = MetaData()
t_simple_items = Table(
'simple_items', metadata,
Column('jsonb', JSONB)
)
"""
def test_enum_detection(self, generator: CodeGenerator) -> None:
Table(
'simple_items', generator.metadata,
Column('enum', VARCHAR(255)),
CheckConstraint(r"simple_items.enum IN ('A', '\'B', 'C')")
)
assert generator.generate() == """\
from sqlalchemy import Column, Enum, MetaData, Table
metadata = MetaData()
t_simple_items = Table(
'simple_items', metadata,
Column('enum', Enum('A', "\\\\'B", 'C'))
)
"""
@pytest.mark.parametrize('engine', ['postgresql'], indirect=['engine'])
def test_column_adaptation(self, generator: CodeGenerator) -> None:
Table(
'simple_items', generator.metadata,
Column('id', postgresql.BIGINT),
Column('length', postgresql.DOUBLE_PRECISION)
)
assert generator.generate() == """\
from sqlalchemy import BigInteger, Column, Float, MetaData, Table
metadata = MetaData()
t_simple_items = Table(
'simple_items', metadata,
Column('id', BigInteger),
Column('length', Float)
)
"""
@pytest.mark.parametrize('engine', ['mysql'], indirect=['engine'])
def test_mysql_column_types(self, generator: CodeGenerator) -> None:
Table(
'simple_items', generator.metadata,
Column('id', mysql.INTEGER),
Column('name', mysql.VARCHAR(255)),
Column('set', mysql.SET('one', 'two'))
)
assert generator.generate() == """\
from sqlalchemy import Column, Integer, MetaData, String, Table
from sqlalchemy.dialects.mysql import SET
metadata = MetaData()
t_simple_items = Table(
'simple_items', metadata,
Column('id', Integer),
Column('name', String(255)),
Column('set', SET('one', 'two'))
)
"""
def test_constraints(self, generator: CodeGenerator) -> None:
Table(
'simple_items', generator.metadata,
Column('id', INTEGER),
Column('number', INTEGER),
CheckConstraint('number > 0'),
UniqueConstraint('id', 'number')
)
assert generator.generate() == """\
from sqlalchemy import CheckConstraint, Column, Integer, MetaData, Table, UniqueConstraint
metadata = MetaData()
t_simple_items = Table(
'simple_items', metadata,
Column('id', Integer),
Column('number', Integer),
CheckConstraint('number > 0'),
UniqueConstraint('id', 'number')
)
"""
def test_indexes(self, generator: CodeGenerator) -> None:
simple_items = Table(
'simple_items', generator.metadata,
Column('id', INTEGER),
Column('number', INTEGER),
Column('text', VARCHAR)
)
simple_items.indexes.add(Index('idx_number', simple_items.c.number))
simple_items.indexes.add(Index('idx_text_number', simple_items.c.text,
simple_items.c.number, unique=True))
simple_items.indexes.add(Index('idx_text', simple_items.c.text, unique=True))
assert generator.generate() == """\
from sqlalchemy import Column, Index, Integer, MetaData, String, Table
metadata = MetaData()
t_simple_items = Table(
'simple_items', metadata,
Column('id', Integer),
Column('number', Integer, index=True),
Column('text', String, unique=True),
Index('idx_text_number', 'text', 'number', unique=True)
)
"""
def test_table_comment(self, generator: CodeGenerator) -> None:
Table(
'simple', generator.metadata,
Column('id', INTEGER, primary_key=True),
comment="this is a 'comment'"
)
assert generator.generate() == """\
from sqlalchemy import Column, Integer, MetaData, Table
metadata = MetaData()
t_simple = Table(
'simple', metadata,
Column('id', Integer, primary_key=True),
comment="this is a 'comment'"
)
"""
def test_table_name_identifiers(self, generator: CodeGenerator) -> None:
Table(
'simple-items table', generator.metadata,
Column('id', INTEGER, primary_key=True)
)
assert generator.generate() == """\
from sqlalchemy import Column, Integer, MetaData, Table
metadata = MetaData()
t_simple_items_table = Table(
'simple-items table', metadata,
Column('id', Integer, primary_key=True)
)
"""
@pytest.mark.parametrize('generator', [['noindexes']], indirect=True)
def test_option_noindexes(self, generator: CodeGenerator) -> None:
simple_items = Table(
'simple_items', generator.metadata,
Column('number', INTEGER),
CheckConstraint('number > 2')
)
simple_items.indexes.add(Index('idx_number', simple_items.c.number))
assert generator.generate() == """\
from sqlalchemy import CheckConstraint, Column, Integer, MetaData, Table
metadata = MetaData()
t_simple_items = Table(
'simple_items', metadata,
Column('number', Integer),
CheckConstraint('number > 2')
)
"""
@pytest.mark.parametrize('generator', [['noconstraints']], indirect=True)
def test_option_noconstraints(self, generator: CodeGenerator) -> None:
simple_items = Table(
'simple_items', generator.metadata,
Column('number', INTEGER),
CheckConstraint('number > 2')
)
simple_items.indexes.add(Index('idx_number', simple_items.c.number))
assert generator.generate() == """\
from sqlalchemy import Column, Integer, MetaData, Table
metadata = MetaData()
t_simple_items = Table(
'simple_items', metadata,
Column('number', Integer, index=True)
)
"""
@pytest.mark.parametrize('generator', [['nocomments']], indirect=True)
def test_option_nocomments(self, generator: CodeGenerator) -> None:
Table(
'simple', generator.metadata,
Column('id', INTEGER, primary_key=True, comment='pk column comment'),
comment="this is a 'comment'"
)
assert generator.generate() == """\
from sqlalchemy import Column, Integer, MetaData, Table
metadata = MetaData()
t_simple = Table(
'simple', metadata,
Column('id', Integer, primary_key=True)
)
"""
@pytest.mark.skipif(Computed is None, reason='requires SQLAlchemy 1.3.11+')
@pytest.mark.parametrize('persisted, extra_args', [
(None, ''),
(False, ', persisted=False'),
(True, ', persisted=True')
])
def test_computed_column(self, generator: CodeGenerator, persisted: Optional[bool],
extra_args: str):
Table(
'computed', generator.metadata,
Column('id', INTEGER, primary_key=True),
Column('computed', INTEGER, Computed('1 + 2', persisted=persisted))
)
assert generator.generate() == f"""\
from sqlalchemy import Column, Computed, Integer, MetaData, Table
metadata = MetaData()
t_computed = Table(
'computed', metadata,
Column('id', Integer, primary_key=True),
Column('computed', Integer, Computed('1 + 2'{extra_args}))
)
"""
def test_schema(self, generator: CodeGenerator) -> None:
Table(
'simple_items', generator.metadata,
Column('name', VARCHAR),
schema='testschema'
)
assert generator.generate() == """\
from sqlalchemy import Column, MetaData, String, Table
metadata = MetaData()
t_simple_items = Table(
'simple_items', metadata,
Column('name', String),
schema='testschema'
)
"""
def test_foreign_key_options(self, generator: CodeGenerator) -> None:
Table(
'simple_items', generator.metadata,
Column('name', VARCHAR, ForeignKey(
'simple_items.name', ondelete='CASCADE', onupdate='CASCADE', deferrable=True,
initially='DEFERRED'))
)
assert generator.generate() == """\
from sqlalchemy import Column, ForeignKey, MetaData, String, Table
metadata = MetaData()
t_simple_items = Table(
'simple_items', metadata,
Column('name', String, ForeignKey('simple_items.name', ondelete='CASCADE', \
onupdate='CASCADE', deferrable=True, initially='DEFERRED'))
)
"""
def test_pk_default(self, generator: CodeGenerator) -> None:
Table(
'simple_items', generator.metadata,
Column('id', INTEGER, primary_key=True, server_default=text('uuid_generate_v4()'))
)
assert generator.generate() == """\
from sqlalchemy import Column, Integer, MetaData, Table, text
metadata = MetaData()
t_simple_items = Table(
'simple_items', metadata,
Column('id', Integer, primary_key=True, server_default=text('uuid_generate_v4()'))
)
"""
@pytest.mark.parametrize('engine', ['mysql'], indirect=['engine'])
def test_mysql_timestamp(self, generator: CodeGenerator) -> None:
Table(
'simple', generator.metadata,
Column('id', INTEGER, primary_key=True),
Column('timestamp', mysql.TIMESTAMP)
)
assert generator.generate() == """\
from sqlalchemy import Column, Integer, MetaData, TIMESTAMP, Table
metadata = MetaData()
t_simple = Table(
'simple', metadata,
Column('id', Integer, primary_key=True),
Column('timestamp', TIMESTAMP)
)
"""
@pytest.mark.parametrize('engine', ['mysql'], indirect=['engine'])
def test_mysql_integer_display_width(self, generator: CodeGenerator) -> None:
Table(
'simple_items', generator.metadata,
Column('id', INTEGER, primary_key=True),
Column('number', mysql.INTEGER(11))
)
assert generator.generate() == """\
from sqlalchemy import Column, Integer, MetaData, Table
from sqlalchemy.dialects.mysql import INTEGER
metadata = MetaData()
t_simple_items = Table(
'simple_items', metadata,
Column('id', Integer, primary_key=True),
Column('number', INTEGER(11))
)
"""
@pytest.mark.parametrize('engine', ['mysql'], indirect=['engine'])
def test_mysql_tinytext(self, generator: CodeGenerator) -> None:
Table(
'simple_items', generator.metadata,
Column('id', INTEGER, primary_key=True),
Column('my_tinytext', mysql.TINYTEXT)
)
assert generator.generate() == """\
from sqlalchemy import Column, Integer, MetaData, Table
from sqlalchemy.dialects.mysql import TINYTEXT
metadata = MetaData()
t_simple_items = Table(
'simple_items', metadata,
Column('id', Integer, primary_key=True),
Column('my_tinytext', TINYTEXT)
)
"""
@pytest.mark.parametrize('engine', ['mysql'], indirect=['engine'])
def test_mysql_mediumtext(self, generator: CodeGenerator) -> None:
Table(
'simple_items', generator.metadata,
Column('id', INTEGER, primary_key=True),
Column('my_mediumtext', mysql.MEDIUMTEXT)
)
assert generator.generate() == """\
from sqlalchemy import Column, Integer, MetaData, Table
from sqlalchemy.dialects.mysql import MEDIUMTEXT
metadata = MetaData()
t_simple_items = Table(
'simple_items', metadata,
Column('id', Integer, primary_key=True),
Column('my_mediumtext', MEDIUMTEXT)
)
"""
@pytest.mark.parametrize('engine', ['mysql'], indirect=['engine'])
def test_mysql_longtext(self, generator: CodeGenerator) -> None:
Table(
'simple_items', generator.metadata,
Column('id', INTEGER, primary_key=True),
Column('my_longtext', mysql.LONGTEXT)
)
assert generator.generate() == """\
from sqlalchemy import Column, Integer, MetaData, Table
from sqlalchemy.dialects.mysql import LONGTEXT
metadata = MetaData()
t_simple_items = Table(
'simple_items', metadata,
Column('id', Integer, primary_key=True),
Column('my_longtext', LONGTEXT)
)
"""
def test_schema_boolean(self, generator: CodeGenerator) -> None:
Table(
'simple_items', generator.metadata,
Column('bool1', INTEGER),
CheckConstraint('testschema.simple_items.bool1 IN (0, 1)'),
schema='testschema'
)
assert generator.generate() == """\
from sqlalchemy import Boolean, Column, MetaData, Table
metadata = MetaData()
t_simple_items = Table(
'simple_items', metadata,
Column('bool1', Boolean),
schema='testschema'
)
"""
def test_server_default_multiline(self, generator: CodeGenerator) -> None:
Table(
'simple_items', generator.metadata,
Column('id', INTEGER, primary_key=True, server_default=text("""\
/*Comment*/
/*Next line*/
something()"""))
)
assert generator.generate() == """\
from sqlalchemy import Column, Integer, MetaData, Table, text
metadata = MetaData()
t_simple_items = Table(
'simple_items', metadata,
Column('id', Integer, primary_key=True, server_default=\
text('/*Comment*/\\n/*Next line*/\\nsomething()'))
)
"""
def test_server_default_colon(self, generator: CodeGenerator) -> None:
Table(
'simple_items', generator.metadata,
Column('problem', VARCHAR, server_default=text("':001'"))
)
assert generator.generate() == """\
from sqlalchemy import Column, MetaData, String, Table, text
metadata = MetaData()
t_simple_items = Table(
'simple_items', metadata,
Column('problem', String, server_default=text("':001'"))
)
"""
def test_null_type(self, generator: CodeGenerator) -> None:
Table(
'simple_items', generator.metadata,
Column('problem', NullType),
)
assert generator.generate() == """\
from sqlalchemy import Column, MetaData, Table
from sqlalchemy.sql.sqltypes import NullType
metadata = MetaData()
t_simple_items = Table(
'simple_items', metadata,
Column('problem', NullType)
)
"""
@pytest.mark.skipif(Identity is None, reason='Requires SQLAlchemy 1.4+')
def test_identity_column(self, generator: CodeGenerator) -> None:
Table(
'simple_items', generator.metadata,
Column('id', INTEGER, primary_key=True, server_default=Identity(start=1, increment=2))
)
assert generator.generate() == """\
from sqlalchemy import Column, Identity, Integer, MetaData, Table
metadata = MetaData()
t_simple_items = Table(
'simple_items', metadata,
Column('id', Integer, Identity(start=1, increment=2), primary_key=True)
)
"""
class TestDeclarativeGenerator:
@pytest.fixture
def generator(self, request: FixtureRequest, metadata: MetaData,
engine: Engine) -> CodeGenerator:
options = getattr(request, 'param', [])
return DeclarativeGenerator(metadata, engine, options)
def test_indexes(self, generator: CodeGenerator) -> None:
simple_items = Table(
'simple_items', generator.metadata,
Column('id', INTEGER, primary_key=True),
Column('number', INTEGER),
Column('text', VARCHAR)
)
simple_items.indexes.add(Index('idx_number', simple_items.c.number))
simple_items.indexes.add(Index('idx_text_number', simple_items.c.text,
simple_items.c.number))
simple_items.indexes.add(Index('idx_text', simple_items.c.text, unique=True))
assert generator.generate() == f"""\
from sqlalchemy import Column, Index, Integer, String
from {declarative_package} import declarative_base
Base = declarative_base()
class SimpleItems(Base):
__tablename__ = 'simple_items'
__table_args__ = (
Index('idx_text_number', 'text', 'number'),
)
id = Column(Integer, primary_key=True)
number = Column(Integer, index=True)
text = Column(String, unique=True)
"""
def test_constraints(self, generator: CodeGenerator) -> None:
Table(
'simple_items', generator.metadata,
Column('id', INTEGER, primary_key=True),
Column('number', INTEGER),
CheckConstraint('number > 0'),
UniqueConstraint('id', 'number')
)
assert generator.generate() == f"""\
from sqlalchemy import CheckConstraint, Column, Integer, UniqueConstraint
from {declarative_package} import declarative_base
Base = declarative_base()
class SimpleItems(Base):
__tablename__ = 'simple_items'
__table_args__ = (
CheckConstraint('number > 0'),
UniqueConstraint('id', 'number')
)
id = Column(Integer, primary_key=True)
number = Column(Integer)
"""
def test_onetomany(self, generator: CodeGenerator) -> None:
Table(
'simple_items', generator.metadata,
Column('id', INTEGER, primary_key=True),
Column('container_id', INTEGER),
ForeignKeyConstraint(['container_id'], ['simple_containers.id']),
)
Table(
'simple_containers', generator.metadata,
Column('id', INTEGER, primary_key=True)
)
assert generator.generate() == f"""\
from sqlalchemy import Column, ForeignKey, Integer
{orm_imports}
Base = declarative_base()
class SimpleContainers(Base):
__tablename__ = 'simple_containers'
id = Column(Integer, primary_key=True)
simple_items = relationship('SimpleItems', back_populates='container')
class SimpleItems(Base):
__tablename__ = 'simple_items'
id = Column(Integer, primary_key=True)
container_id = Column(ForeignKey('simple_containers.id'))
container = relationship('SimpleContainers', back_populates='simple_items')
"""
def test_onetomany_selfref(self, generator: CodeGenerator) -> None:
Table(
'simple_items', generator.metadata,
Column('id', INTEGER, primary_key=True),
Column('parent_item_id', INTEGER),
ForeignKeyConstraint(['parent_item_id'], ['simple_items.id'])
)
assert generator.generate() == f"""\
from sqlalchemy import Column, ForeignKey, Integer
{orm_imports}
Base = declarative_base()
class SimpleItems(Base):
__tablename__ = 'simple_items'
id = Column(Integer, primary_key=True)
parent_item_id = Column(ForeignKey('simple_items.id'))
parent_item = relationship('SimpleItems', remote_side=[id], \
back_populates='parent_item_reverse')
parent_item_reverse = relationship('SimpleItems', remote_side=[parent_item_id], \
back_populates='parent_item')
"""
def test_onetomany_selfref_multi(self, generator: CodeGenerator) -> None:
Table(
'simple_items', generator.metadata,
Column('id', INTEGER, primary_key=True),
Column('parent_item_id', INTEGER),
Column('top_item_id', INTEGER),
ForeignKeyConstraint(['parent_item_id'], ['simple_items.id']),
ForeignKeyConstraint(['top_item_id'], ['simple_items.id'])
)
assert generator.generate() == f"""\
from sqlalchemy import Column, ForeignKey, Integer
{orm_imports}
Base = declarative_base()
class SimpleItems(Base):
__tablename__ = 'simple_items'
id = Column(Integer, primary_key=True)
parent_item_id = Column(ForeignKey('simple_items.id'))
top_item_id = Column(ForeignKey('simple_items.id'))
parent_item = relationship('SimpleItems', remote_side=[id], foreign_keys=[parent_item_id], \
back_populates='parent_item_reverse')
parent_item_reverse = relationship('SimpleItems', remote_side=[parent_item_id], \
foreign_keys=[parent_item_id], back_populates='parent_item')
top_item = relationship('SimpleItems', remote_side=[id], foreign_keys=[top_item_id], \
back_populates='top_item_reverse')
top_item_reverse = relationship('SimpleItems', remote_side=[top_item_id], \
foreign_keys=[top_item_id], back_populates='top_item')
"""
def test_onetomany_composite(self, generator: CodeGenerator) -> None:
Table(
'simple_items', generator.metadata,
Column('id', INTEGER, primary_key=True),
Column('container_id1', INTEGER),
Column('container_id2', INTEGER),
ForeignKeyConstraint(['container_id1', 'container_id2'],
['simple_containers.id1', 'simple_containers.id2'],
ondelete='CASCADE', onupdate='CASCADE')
)
Table(
'simple_containers', generator.metadata,
Column('id1', INTEGER, primary_key=True),
Column('id2', INTEGER, primary_key=True)
)
assert generator.generate() == f"""\
from sqlalchemy import Column, ForeignKeyConstraint, Integer
{orm_imports}
Base = declarative_base()
class SimpleContainers(Base):
__tablename__ = 'simple_containers'
id1 = Column(Integer, primary_key=True, nullable=False)
id2 = Column(Integer, primary_key=True, nullable=False)
simple_items = relationship('SimpleItems', back_populates='simple_containers')
class SimpleItems(Base):
__tablename__ = 'simple_items'
__table_args__ = (
ForeignKeyConstraint(['container_id1', 'container_id2'], ['simple_containers.id1', \
'simple_containers.id2'], ondelete='CASCADE', onupdate='CASCADE'),
)
id = Column(Integer, primary_key=True)
container_id1 = Column(Integer)
container_id2 = Column(Integer)
simple_containers = relationship('SimpleContainers', back_populates='simple_items')
"""
def test_onetomany_multiref(self, generator: CodeGenerator) -> None:
Table(
'simple_items', generator.metadata,
Column('id', INTEGER, primary_key=True),
Column('parent_container_id', INTEGER),
Column('top_container_id', INTEGER),
ForeignKeyConstraint(['parent_container_id'], ['simple_containers.id']),
ForeignKeyConstraint(['top_container_id'], ['simple_containers.id'])
)
Table(
'simple_containers', generator.metadata,
Column('id', INTEGER, primary_key=True)
)
assert generator.generate() == f"""\
from sqlalchemy import Column, ForeignKey, Integer
{orm_imports}
Base = declarative_base()
class SimpleContainers(Base):
__tablename__ = 'simple_containers'
id = Column(Integer, primary_key=True)
simple_items = relationship('SimpleItems', foreign_keys=['SimpleItems.parent_container_id'], \
back_populates='parent_container')
simple_items_ = relationship('SimpleItems', foreign_keys=['SimpleItems.top_container_id'], \
back_populates='top_container')
class SimpleItems(Base):
__tablename__ = 'simple_items'
id = Column(Integer, primary_key=True)
parent_container_id = Column(ForeignKey('simple_containers.id'))
top_container_id = Column(ForeignKey('simple_containers.id'))
parent_container = relationship('SimpleContainers', foreign_keys=[parent_container_id], \
back_populates='simple_items')
top_container = relationship('SimpleContainers', foreign_keys=[top_container_id], \
back_populates='simple_items_')
"""
def test_onetoone(self, generator: CodeGenerator) -> None:
Table(
'simple_items', generator.metadata,
Column('id', INTEGER, primary_key=True),
Column('other_item_id', INTEGER),
ForeignKeyConstraint(['other_item_id'], ['other_items.id']),
UniqueConstraint('other_item_id')
)
Table(
'other_items', generator.metadata,
Column('id', INTEGER, primary_key=True)
)
assert generator.generate() == f"""\
from sqlalchemy import Column, ForeignKey, Integer
{orm_imports}
Base = declarative_base()
class OtherItems(Base):
__tablename__ = 'other_items'
id = Column(Integer, primary_key=True)
simple_items = relationship('SimpleItems', uselist=False, back_populates='other_item')
class SimpleItems(Base):
__tablename__ = 'simple_items'
id = Column(Integer, primary_key=True)
other_item_id = Column(ForeignKey('other_items.id'), unique=True)
other_item = relationship('OtherItems', back_populates='simple_items')
"""
def test_onetomany_noinflect(self, generator: CodeGenerator) -> None:
Table(
'oglkrogk', generator.metadata,
Column('id', INTEGER, primary_key=True),
Column('fehwiuhfiwID', INTEGER),
ForeignKeyConstraint(['fehwiuhfiwID'], ['fehwiuhfiw.id']),
)
Table(
'fehwiuhfiw', generator.metadata,
Column('id', INTEGER, primary_key=True)
)
assert generator.generate() == f"""\
from sqlalchemy import Column, ForeignKey, Integer
{orm_imports}
Base = declarative_base()
class Fehwiuhfiw(Base):
__tablename__ = 'fehwiuhfiw'
id = Column(Integer, primary_key=True)
oglkrogk = relationship('Oglkrogk', back_populates='fehwiuhfiw')
class Oglkrogk(Base):
__tablename__ = 'oglkrogk'
id = Column(Integer, primary_key=True)
fehwiuhfiwID = Column(ForeignKey('fehwiuhfiw.id'))
fehwiuhfiw = relationship('Fehwiuhfiw', back_populates='oglkrogk')
"""
def test_onetomany_conflicting_column(self, generator: CodeGenerator) -> None:
Table(
'simple_items', generator.metadata,
Column('id', INTEGER, primary_key=True),
Column('container_id', INTEGER),
ForeignKeyConstraint(['container_id'], ['simple_containers.id']),
)
Table(
'simple_containers', generator.metadata,
Column('id', INTEGER, primary_key=True),
Column('relationship', Text)
)
assert generator.generate() == f"""\
from sqlalchemy import Column, ForeignKey, Integer, Text
{orm_imports}
Base = declarative_base()
class SimpleContainers(Base):
__tablename__ = 'simple_containers'
id = Column(Integer, primary_key=True)
relationship_ = Column('relationship', Text)
simple_items = relationship('SimpleItems', back_populates='container')
class SimpleItems(Base):
__tablename__ = 'simple_items'
id = Column(Integer, primary_key=True)
container_id = Column(ForeignKey('simple_containers.id'))
container = relationship('SimpleContainers', back_populates='simple_items')
"""
def test_onetomany_conflicting_relationship(self, generator: CodeGenerator) -> None:
Table(
'simple_items', generator.metadata,
Column('id', INTEGER, primary_key=True),
Column('relationship_id', INTEGER),
ForeignKeyConstraint(['relationship_id'], ['relationship.id']),
)
Table(
'relationship', generator.metadata,
Column('id', INTEGER, primary_key=True)
)
assert generator.generate() == f"""\
from sqlalchemy import Column, ForeignKey, Integer
{orm_imports}
Base = declarative_base()
class Relationship(Base):
__tablename__ = 'relationship'
id = Column(Integer, primary_key=True)
simple_items = relationship('SimpleItems', back_populates='relationship_')
class SimpleItems(Base):
__tablename__ = 'simple_items'
id = Column(Integer, primary_key=True)
relationship_id = Column(ForeignKey('relationship.id'))
relationship_ = relationship('Relationship', back_populates='simple_items')
"""
@pytest.mark.parametrize('generator', [['nobidi']], indirect=True)
def test_manytoone_nobidi(self, generator: CodeGenerator) -> None:
Table(
'simple_items', generator.metadata,
Column('id', INTEGER, primary_key=True),
Column('container_id', INTEGER),
ForeignKeyConstraint(['container_id'], ['simple_containers.id']),
)
Table(
'simple_containers', generator.metadata,
Column('id', INTEGER, primary_key=True)
)
assert generator.generate() == f"""\
from sqlalchemy import Column, ForeignKey, Integer
{orm_imports}
Base = declarative_base()
class SimpleContainers(Base):
__tablename__ = 'simple_containers'
id = Column(Integer, primary_key=True)
class SimpleItems(Base):
__tablename__ = 'simple_items'
id = Column(Integer, primary_key=True)
container_id = Column(ForeignKey('simple_containers.id'))
container = relationship('SimpleContainers')
"""
def test_manytomany(self, generator: CodeGenerator) -> None:
Table(
'simple_items', generator.metadata,
Column('id', INTEGER, primary_key=True)
)
Table(
'simple_containers', generator.metadata,
Column('id', INTEGER, primary_key=True)
)
Table(
'container_items', generator.metadata,
Column('item_id', INTEGER),
Column('container_id', INTEGER),
ForeignKeyConstraint(['item_id'], ['simple_items.id']),
ForeignKeyConstraint(['container_id'], ['simple_containers.id'])
)
assert generator.generate() == f"""\
from sqlalchemy import Column, ForeignKey, Integer, Table
{orm_imports}
Base = declarative_base()
metadata = Base.metadata
class SimpleContainers(Base):
__tablename__ = 'simple_containers'
id = Column(Integer, primary_key=True)
item = relationship('SimpleItems', secondary='container_items', \
back_populates='container')
class SimpleItems(Base):
__tablename__ = 'simple_items'
id = Column(Integer, primary_key=True)
container = relationship('SimpleContainers', secondary='container_items', \
back_populates='item')
t_container_items = Table(
'container_items', metadata,
Column('item_id', ForeignKey('simple_items.id')),
Column('container_id', ForeignKey('simple_containers.id'))
)
"""
@pytest.mark.parametrize('generator', [['nobidi']], indirect=True)
def test_manytomany_nobidi(self, generator: CodeGenerator) -> None:
Table(
'simple_items', generator.metadata,
Column('id', INTEGER, primary_key=True)
)
Table(
'simple_containers', generator.metadata,
Column('id', INTEGER, primary_key=True)
)
Table(
'container_items', generator.metadata,
Column('item_id', INTEGER),
Column('container_id', INTEGER),
ForeignKeyConstraint(['item_id'], ['simple_items.id']),
ForeignKeyConstraint(['container_id'], ['simple_containers.id'])
)
assert generator.generate() == f"""\
from sqlalchemy import Column, ForeignKey, Integer, Table
{orm_imports}
Base = declarative_base()
metadata = Base.metadata
class SimpleContainers(Base):
__tablename__ = 'simple_containers'
id = Column(Integer, primary_key=True)
item = relationship('SimpleItems', secondary='container_items')
class SimpleItems(Base):
__tablename__ = 'simple_items'
id = Column(Integer, primary_key=True)
t_container_items = Table(
'container_items', metadata,
Column('item_id', ForeignKey('simple_items.id')),
Column('container_id', ForeignKey('simple_containers.id'))
)
"""
def test_manytomany_selfref(self, generator: CodeGenerator) -> None:
Table(
'simple_items', generator.metadata,
Column('id', INTEGER, primary_key=True)
)
Table(
'child_items', generator.metadata,
Column('parent_id', INTEGER),
Column('child_id', INTEGER),
ForeignKeyConstraint(['parent_id'], ['simple_items.id']),
ForeignKeyConstraint(['child_id'], ['simple_items.id']),
schema='otherschema'
)
assert generator.generate() == f"""\
from sqlalchemy import Column, ForeignKey, Integer, Table
{orm_imports}
Base = declarative_base()
metadata = Base.metadata
class SimpleItems(Base):
__tablename__ = 'simple_items'
id = Column(Integer, primary_key=True)
parent = relationship('SimpleItems', secondary='otherschema.child_items', \
primaryjoin='SimpleItems.id == t_child_items.c.child_id', \
secondaryjoin='SimpleItems.id == t_child_items.c.parent_id', back_populates='child')
child = relationship('SimpleItems', secondary='otherschema.child_items', \
primaryjoin='SimpleItems.id == t_child_items.c.parent_id', \
secondaryjoin='SimpleItems.id == t_child_items.c.child_id', back_populates='parent')
t_child_items = Table(
'child_items', metadata,
Column('parent_id', ForeignKey('simple_items.id')),
Column('child_id', ForeignKey('simple_items.id')),
schema='otherschema'
)
"""
def test_manytomany_composite(self, generator: CodeGenerator) -> None:
Table(
'simple_items', generator.metadata,
Column('id1', INTEGER, primary_key=True),
Column('id2', INTEGER, primary_key=True)
)
Table(
'simple_containers', generator.metadata,
Column('id1', INTEGER, primary_key=True),
Column('id2', INTEGER, primary_key=True)
)
Table(
'container_items', generator.metadata,
Column('item_id1', INTEGER),
Column('item_id2', INTEGER),
Column('container_id1', INTEGER),
Column('container_id2', INTEGER),
ForeignKeyConstraint(['item_id1', 'item_id2'],
['simple_items.id1', 'simple_items.id2']),
ForeignKeyConstraint(['container_id1', 'container_id2'],
['simple_containers.id1', 'simple_containers.id2'])
)
assert generator.generate() == f"""\
from sqlalchemy import Column, ForeignKeyConstraint, Integer, Table
{orm_imports}
Base = declarative_base()
metadata = Base.metadata
class SimpleContainers(Base):
__tablename__ = 'simple_containers'
id1 = Column(Integer, primary_key=True, nullable=False)
id2 = Column(Integer, primary_key=True, nullable=False)
simple_items = relationship('SimpleItems', secondary='container_items', \
back_populates='simple_containers')
class SimpleItems(Base):
__tablename__ = 'simple_items'
id1 = Column(Integer, primary_key=True, nullable=False)
id2 = Column(Integer, primary_key=True, nullable=False)
simple_containers = relationship('SimpleContainers', secondary='container_items', \
back_populates='simple_items')
t_container_items = Table(
'container_items', metadata,
Column('item_id1', Integer),
Column('item_id2', Integer),
Column('container_id1', Integer),
Column('container_id2', Integer),
ForeignKeyConstraint(['container_id1', 'container_id2'], \
['simple_containers.id1', 'simple_containers.id2']),
ForeignKeyConstraint(['item_id1', 'item_id2'], ['simple_items.id1', 'simple_items.id2'])
)
"""
def test_joined_inheritance(self, generator: CodeGenerator) -> None:
Table(
'simple_sub_items', generator.metadata,
Column('simple_items_id', INTEGER, primary_key=True),
Column('data3', INTEGER),
ForeignKeyConstraint(['simple_items_id'], ['simple_items.super_item_id'])
)
Table(
'simple_super_items', generator.metadata,
Column('id', INTEGER, primary_key=True),
Column('data1', INTEGER)
)
Table(
'simple_items', generator.metadata,
Column('super_item_id', INTEGER, primary_key=True),
Column('data2', INTEGER),
ForeignKeyConstraint(['super_item_id'], ['simple_super_items.id'])
)
assert generator.generate() == f"""\
from sqlalchemy import Column, ForeignKey, Integer
from {declarative_package} import declarative_base
Base = declarative_base()
class SimpleSuperItems(Base):
__tablename__ = 'simple_super_items'
id = Column(Integer, primary_key=True)
data1 = Column(Integer)
class SimpleItems(SimpleSuperItems):
__tablename__ = 'simple_items'
super_item_id = Column(ForeignKey('simple_super_items.id'), primary_key=True)
data2 = Column(Integer)
class SimpleSubItems(SimpleItems):
__tablename__ = 'simple_sub_items'
simple_items_id = Column(ForeignKey('simple_items.super_item_id'), primary_key=True)
data3 = Column(Integer)
"""
@pytest.mark.parametrize('generator', [['use_inflect']], indirect=True)
def test_use_inflect(self, generator: CodeGenerator) -> None:
Table(
'simple_items', generator.metadata,
Column('id', INTEGER, primary_key=True)
)
assert generator.generate() == f"""\
from sqlalchemy import Column, Integer
from {declarative_package} import declarative_base
Base = declarative_base()
class SimpleItem(Base):
__tablename__ = 'simple_items'
id = Column(Integer, primary_key=True)
"""
def test_table_kwargs(self, generator: CodeGenerator) -> None:
Table(
'simple_items', generator.metadata,
Column('id', INTEGER, primary_key=True),
schema='testschema'
)
assert generator.generate() == f"""\
from sqlalchemy import Column, Integer
from {declarative_package} import declarative_base
Base = declarative_base()
class SimpleItems(Base):
__tablename__ = 'simple_items'
__table_args__ = {{'schema': 'testschema'}}
id = Column(Integer, primary_key=True)
"""
def test_table_args_kwargs(self, generator: CodeGenerator) -> None:
simple_items = Table(
'simple_items', generator.metadata,
Column('id', INTEGER, primary_key=True),
Column('name', VARCHAR),
schema='testschema'
)
simple_items.indexes.add(Index('testidx', simple_items.c.id, simple_items.c.name))
assert generator.generate() == f"""\
from sqlalchemy import Column, Index, Integer, String
from {declarative_package} import declarative_base
Base = declarative_base()
class SimpleItems(Base):
__tablename__ = 'simple_items'
__table_args__ = (
Index('testidx', 'id', 'name'),
{{'schema': 'testschema'}}
)
id = Column(Integer, primary_key=True)
name = Column(String)
"""
def test_foreign_key_schema(self, generator: CodeGenerator) -> None:
Table(
'simple_items', generator.metadata,
Column('id', INTEGER, primary_key=True),
Column('other_item_id', INTEGER),
ForeignKeyConstraint(['other_item_id'], ['otherschema.other_items.id'])
)
Table(
'other_items', generator.metadata,
Column('id', INTEGER, primary_key=True),
schema='otherschema'
)
assert generator.generate() == f"""\
from sqlalchemy import Column, ForeignKey, Integer
{orm_imports}
Base = declarative_base()
class OtherItems(Base):
__tablename__ = 'other_items'
__table_args__ = {{'schema': 'otherschema'}}
id = Column(Integer, primary_key=True)
simple_items = relationship('SimpleItems', back_populates='other_item')
class SimpleItems(Base):
__tablename__ = 'simple_items'
id = Column(Integer, primary_key=True)
other_item_id = Column(ForeignKey('otherschema.other_items.id'))
other_item = relationship('OtherItems', back_populates='simple_items')
"""
def test_invalid_attribute_names(self, generator: CodeGenerator) -> None:
Table(
'simple-items', generator.metadata,
Column('id-test', INTEGER, primary_key=True),
Column('4test', INTEGER),
Column('_4test', INTEGER),
Column('def', INTEGER)
)
assert generator.generate() == f"""\
from sqlalchemy import Column, Integer
from {declarative_package} import declarative_base
Base = declarative_base()
class SimpleItems(Base):
__tablename__ = 'simple-items'
id_test = Column('id-test', Integer, primary_key=True)
_4test = Column('4test', Integer)
_4test_ = Column('_4test', Integer)
def_ = Column('def', Integer)
"""
def test_pascal(self, generator: CodeGenerator) -> None:
Table(
'CustomerAPIPreference', generator.metadata,
Column('id', INTEGER, primary_key=True)
)
assert generator.generate() == f"""\
from sqlalchemy import Column, Integer
from {declarative_package} import declarative_base
Base = declarative_base()
class CustomerAPIPreference(Base):
__tablename__ = 'CustomerAPIPreference'
id = Column(Integer, primary_key=True)
"""
def test_underscore(self, generator: CodeGenerator) -> None:
Table(
'customer_api_preference', generator.metadata,
Column('id', INTEGER, primary_key=True)
)
assert generator.generate() == f"""\
from sqlalchemy import Column, Integer
from {declarative_package} import declarative_base
Base = declarative_base()
class CustomerApiPreference(Base):
__tablename__ = 'customer_api_preference'
id = Column(Integer, primary_key=True)
"""
def test_pascal_underscore(self, generator: CodeGenerator) -> None:
Table(
'customer_API_Preference', generator.metadata,
Column('id', INTEGER, primary_key=True)
)
assert generator.generate() == f"""\
from sqlalchemy import Column, Integer
from {declarative_package} import declarative_base
Base = declarative_base()
class CustomerAPIPreference(Base):
__tablename__ = 'customer_API_Preference'
id = Column(Integer, primary_key=True)
"""
def test_pascal_multiple_underscore(self, generator: CodeGenerator) -> None:
Table(
'customer_API__Preference', generator.metadata,
Column('id', INTEGER, primary_key=True)
)
assert generator.generate() == f"""\
from sqlalchemy import Column, Integer
from {declarative_package} import declarative_base
Base = declarative_base()
class CustomerAPIPreference(Base):
__tablename__ = 'customer_API__Preference'
id = Column(Integer, primary_key=True)
"""
@pytest.mark.parametrize('generator, nocomments', [
([], False),
(['nocomments'], True)
], indirect=['generator'])
def test_column_comment(self, generator: CodeGenerator, nocomments: bool) -> None:
Table(
'simple', generator.metadata,
Column('id', INTEGER, primary_key=True, comment="this is a 'comment'")
)
comment_part = '' if nocomments else ', comment="this is a \'comment\'"'
assert generator.generate() == f"""\
from sqlalchemy import Column, Integer
from {declarative_package} import declarative_base
Base = declarative_base()
class Simple(Base):
__tablename__ = 'simple'
id = Column(Integer, primary_key=True{comment_part})
"""
def test_table_comment(self, generator: CodeGenerator) -> None:
Table(
'simple', generator.metadata,
Column('id', INTEGER, primary_key=True),
comment="this is a 'comment'"
)
assert generator.generate() == f"""\
from sqlalchemy import Column, Integer
from {declarative_package} import declarative_base
Base = declarative_base()
class Simple(Base):
__tablename__ = 'simple'
__table_args__ = {{'comment': "this is a 'comment'"}}
id = Column(Integer, primary_key=True)
"""
class TestDataclassGenerator:
@pytest.fixture
def generator(self, request: FixtureRequest, metadata: MetaData,
engine: Engine) -> CodeGenerator:
options = getattr(request, 'param', [])
return DataclassGenerator(metadata, engine, options)
def test_basic_class(self, generator: CodeGenerator) -> None:
Table(
'simple', generator.metadata,
Column('id', INTEGER, primary_key=True),
Column('name', VARCHAR(20))
)
assert generator.generate() == f"""\
{future_imports}from dataclasses import dataclass, field
from typing import Optional
from sqlalchemy import Column, Integer, String
from sqlalchemy.orm import registry
mapper_registry = registry()
@mapper_registry.mapped
@dataclass
class Simple:
__tablename__ = 'simple'
__sa_dataclass_metadata_key__ = 'sa'
id: int = field(init=False, metadata={{'sa': Column(Integer, primary_key=True)}})
name: Optional[str] = field(default=None, metadata={{'sa': Column(String(20))}})
"""
def test_onetomany_optional(self, generator: CodeGenerator) -> None:
Table(
'simple_items', generator.metadata,
Column('id', INTEGER, primary_key=True),
Column('container_id', INTEGER),
ForeignKeyConstraint(['container_id'], ['simple_containers.id']),
)
Table(
'simple_containers', generator.metadata,
Column('id', INTEGER, primary_key=True)
)
assert generator.generate() == f"""\
{future_imports}from dataclasses import dataclass, field
from typing import List, Optional
from sqlalchemy import Column, ForeignKey, Integer
from sqlalchemy.orm import registry, relationship
mapper_registry = registry()
@mapper_registry.mapped
@dataclass
class SimpleContainers:
__tablename__ = 'simple_containers'
__sa_dataclass_metadata_key__ = 'sa'
id: int = field(init=False, metadata={{'sa': Column(Integer, primary_key=True)}})
simple_items: List[{maybe_quote('SimpleItems')}] = field(default_factory=list, \
metadata={{'sa': relationship('SimpleItems', back_populates='container')}})
@mapper_registry.mapped
@dataclass
class SimpleItems:
__tablename__ = 'simple_items'
__sa_dataclass_metadata_key__ = 'sa'
id: int = field(init=False, metadata={{'sa': Column(Integer, primary_key=True)}})
container_id: Optional[int] = field(default=None, \
metadata={{'sa': Column(ForeignKey('simple_containers.id'))}})
container: Optional[{maybe_quote('SimpleContainers')}] = field(default=None, \
metadata={{'sa': relationship('SimpleContainers', back_populates='simple_items')}})
"""
def test_onetomany_mandatory(self, generator: CodeGenerator) -> None:
Table(
'simple_items', generator.metadata,
Column('id', INTEGER, primary_key=True),
Column('container_id', INTEGER, nullable=False),
ForeignKeyConstraint(['container_id'], ['simple_containers.id']),
)
Table(
'simple_containers', generator.metadata,
Column('id', INTEGER, primary_key=True)
)
assert generator.generate() == f"""\
{future_imports}from dataclasses import dataclass, field
from typing import List
from sqlalchemy import Column, ForeignKey, Integer
from sqlalchemy.orm import registry, relationship
mapper_registry = registry()
@mapper_registry.mapped
@dataclass
class SimpleContainers:
__tablename__ = 'simple_containers'
__sa_dataclass_metadata_key__ = 'sa'
id: int = field(init=False, metadata={{'sa': Column(Integer, primary_key=True)}})
simple_items: List[{maybe_quote('SimpleItems')}] = field(default_factory=list, \
metadata={{'sa': relationship('SimpleItems', back_populates='container')}})
@mapper_registry.mapped
@dataclass
class SimpleItems:
__tablename__ = 'simple_items'
__sa_dataclass_metadata_key__ = 'sa'
id: int = field(init=False, metadata={{'sa': Column(Integer, primary_key=True)}})
container_id: int = field(\
metadata={{'sa': Column(ForeignKey('simple_containers.id'), nullable=False)}})
container: {maybe_quote('SimpleContainers')} = field(\
metadata={{'sa': relationship('SimpleContainers', back_populates='simple_items')}})
"""
def test_manytomany(self, generator: CodeGenerator) -> None:
Table(
'simple_items', generator.metadata,
Column('id', INTEGER, primary_key=True)
)
Table(
'simple_containers', generator.metadata,
Column('id', INTEGER, primary_key=True)
)
Table(
'container_items', generator.metadata,
Column('item_id', INTEGER),
Column('container_id', INTEGER),
ForeignKeyConstraint(['item_id'], ['simple_items.id']),
ForeignKeyConstraint(['container_id'], ['simple_containers.id'])
)
assert generator.generate() == f"""\
{future_imports}from dataclasses import dataclass, field
from typing import List
from sqlalchemy import Column, ForeignKey, Integer, Table
from sqlalchemy.orm import registry, relationship
mapper_registry = registry()
metadata = mapper_registry.metadata
@mapper_registry.mapped
@dataclass
class SimpleContainers:
__tablename__ = 'simple_containers'
__sa_dataclass_metadata_key__ = 'sa'
id: int = field(init=False, metadata={{'sa': Column(Integer, primary_key=True)}})
item: List[{maybe_quote('SimpleItems')}] = field(default_factory=list, metadata=\
{{'sa': relationship('SimpleItems', secondary='container_items', back_populates='container')}})
@mapper_registry.mapped
@dataclass
class SimpleItems:
__tablename__ = 'simple_items'
__sa_dataclass_metadata_key__ = 'sa'
id: int = field(init=False, metadata={{'sa': Column(Integer, primary_key=True)}})
container: List[{maybe_quote('SimpleContainers')}] = field(default_factory=list, metadata=\
{{'sa': relationship('SimpleContainers', secondary='container_items', back_populates='item')}})
t_container_items = Table(
'container_items', metadata,
Column('item_id', ForeignKey('simple_items.id')),
Column('container_id', ForeignKey('simple_containers.id'))
)
"""
| 29.946124 | 98 | 0.658357 | 5,562 | 54,472 | 6.216469 | 0.049443 | 0.064582 | 0.051828 | 0.07592 | 0.839513 | 0.812066 | 0.78112 | 0.753268 | 0.737593 | 0.713154 | 0 | 0.003499 | 0.212898 | 54,472 | 1,818 | 99 | 29.962596 | 0.802939 | 0.000624 | 0 | 0.630769 | 0 | 0.005861 | 0.538183 | 0.125581 | 0 | 0 | 0 | 0 | 0.044689 | 1 | 0.049084 | false | 0 | 0.094505 | 0.000733 | 0.152381 | 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 |
9ec46e9c05b7d3218867c30220e59ed8ee490220 | 130 | py | Python | __main__.py | Zadigo/zacoby | 468168e416603e00ef1541990843fd7e841f0ff2 | [
"MIT"
] | 1 | 2021-02-25T03:26:52.000Z | 2021-02-25T03:26:52.000Z | __main__.py | Zadigo/zacoby | 468168e416603e00ef1541990843fd7e841f0ff2 | [
"MIT"
] | null | null | null | __main__.py | Zadigo/zacoby | 468168e416603e00ef1541990843fd7e841f0ff2 | [
"MIT"
] | null | null | null | import sys
from zacoby.management import execute_command_inline
if __name__ == '__main__':
execute_command_inline(sys.argv)
| 18.571429 | 52 | 0.8 | 17 | 130 | 5.411765 | 0.705882 | 0.304348 | 0.434783 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.130769 | 130 | 6 | 53 | 21.666667 | 0.814159 | 0 | 0 | 0 | 0 | 0 | 0.061538 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 6 |
9ee5d97f28b40a86b90a4d14c392e47fe35beab1 | 41 | py | Python | open_ephys/streaming/__init__.py | KylePoe/open-ephys-python-tools | c72cb533ad2e508d870d88cc22da4d052e66e89e | [
"MIT"
] | 4 | 2021-09-20T17:56:15.000Z | 2022-01-05T10:34:57.000Z | open_ephys/streaming/__init__.py | KylePoe/open-ephys-python-tools | c72cb533ad2e508d870d88cc22da4d052e66e89e | [
"MIT"
] | 10 | 2021-01-18T12:35:16.000Z | 2022-03-29T16:58:02.000Z | open_ephys/streaming/__init__.py | KylePoe/open-ephys-python-tools | c72cb533ad2e508d870d88cc22da4d052e66e89e | [
"MIT"
] | 9 | 2021-04-26T19:00:14.000Z | 2022-03-29T09:45:39.000Z | from .event_listener import EventListener | 41 | 41 | 0.902439 | 5 | 41 | 7.2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.073171 | 41 | 1 | 41 | 41 | 0.947368 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
730308a0ade20091874aa6c141bf5fae656ddf1a | 12,824 | py | Python | toontown/classicchars/CharStateDatasAI.py | ksmit799/Toontown-Source | aee8032089f60b528ca9571c0d7cc774d414c085 | [
"MIT"
] | 8 | 2017-10-10T11:41:01.000Z | 2021-02-23T12:55:47.000Z | toontown/classicchars/CharStateDatasAI.py | ksmit799/Toontown-Source | aee8032089f60b528ca9571c0d7cc774d414c085 | [
"MIT"
] | null | null | null | toontown/classicchars/CharStateDatasAI.py | ksmit799/Toontown-Source | aee8032089f60b528ca9571c0d7cc774d414c085 | [
"MIT"
] | 2 | 2019-04-06T16:18:23.000Z | 2021-02-25T06:25:01.000Z | from otp.ai.AIBaseGlobal import *
from direct.distributed.ClockDelta import *
from direct.fsm import StateData
from direct.directnotify import DirectNotifyGlobal
import random
from direct.task import Task
from toontown.toonbase import ToontownGlobals
import CCharChatter
import CCharPaths
class CharLonelyStateAI(StateData.StateData):
notify = DirectNotifyGlobal.directNotify.newCategory('CharLonelyStateAI')
def __init__(self, doneEvent, character):
StateData.StateData.__init__(self, doneEvent)
self.__doneEvent = doneEvent
self.character = character
def enter(self):
if hasattr(self.character, 'name'):
name = self.character.getName()
else:
name = 'character'
self.notify.debug('Lonely ' + self.character.getName() + '...')
StateData.StateData.enter(self)
duration = random.randint(3, 15)
taskMgr.doMethodLater(duration, self.__doneHandler, self.character.taskName('startWalking'))
def exit(self):
StateData.StateData.exit(self)
taskMgr.remove(self.character.taskName('startWalking'))
def __doneHandler(self, task):
doneStatus = {}
doneStatus['state'] = 'lonely'
doneStatus['status'] = 'done'
messenger.send(self.__doneEvent, [doneStatus])
return Task.done
class CharChattyStateAI(StateData.StateData):
notify = DirectNotifyGlobal.directNotify.newCategory('CharChattyStateAI')
def __init__(self, doneEvent, character):
StateData.StateData.__init__(self, doneEvent)
self.__doneEvent = doneEvent
self.character = character
self.__chatTaskName = 'characterChat-' + str(character)
self.lastChatTarget = 0
self.nextChatTime = 0
self.lastMessage = [-1, -1]
def enter(self):
if hasattr(self.character, 'name'):
name = self.character.getName()
else:
name = 'character'
self.notify.debug('Chatty ' + self.character.getName() + '...')
self.chatter = CCharChatter.getChatter(self.character.getName(), self.character.getCCChatter())
if self.chatter != None:
taskMgr.remove(self.__chatTaskName)
taskMgr.add(self.blather, self.__chatTaskName)
StateData.StateData.enter(self)
return
def pickMsg(self, category):
self.getLatestChatter()
if self.chatter:
return random.randint(0, len(self.chatter[category]) - 1)
else:
return None
return None
def getLatestChatter(self):
self.chatter = CCharChatter.getChatter(self.character.getName(), self.character.getCCChatter())
def setCorrectChatter(self):
self.chatter = CCharChatter.getChatter(self.character.getName(), self.character.getCCChatter())
def blather(self, task):
now = globalClock.getFrameTime()
if now < self.nextChatTime:
return Task.cont
self.getLatestChatter()
if self.character.lostInterest():
self.leave()
return Task.done
if not self.chatter:
self.notify.debug('I do not want to talk')
return Task.done
if not self.character.getNearbyAvatars():
return Task.cont
target = self.character.getNearbyAvatars()[0]
if self.lastChatTarget != target:
self.lastChatTarget = target
category = CCharChatter.GREETING
else:
category = CCharChatter.COMMENT
self.setCorrectChatter()
if category == self.lastMessage[0] and len(self.chatter[category]) > 1:
msg = self.lastMessage[1]
lastMsgIndex = self.lastMessage[1]
if lastMsgIndex < len(self.chatter[category]) and lastMsgIndex >= 0:
while self.chatter[category][msg] == self.chatter[category][lastMsgIndex]:
msg = self.pickMsg(category)
if not msg:
break
else:
msg = self.pickMsg(category)
else:
msg = self.pickMsg(category)
if msg == None:
self.notify.debug('I do not want to talk')
return Task.done
self.character.sendUpdate('setChat', [category, msg, target])
self.lastMessage = [category, msg]
self.nextChatTime = now + 8.0 + random.random() * 4.0
return Task.cont
def leave(self):
if self.chatter != None:
category = CCharChatter.GOODBYE
msg = random.randint(0, len(self.chatter[CCharChatter.GOODBYE]) - 1)
target = self.character.getNearbyAvatars()[0]
self.character.sendUpdate('setChat', [category, msg, target])
taskMgr.doMethodLater(1, self.doneHandler, self.character.taskName('waitToFinish'))
return
def exit(self):
StateData.StateData.exit(self)
taskMgr.remove(self.__chatTaskName)
def doneHandler(self, task):
doneStatus = {}
doneStatus['state'] = 'chatty'
doneStatus['status'] = 'done'
messenger.send(self.__doneEvent, [doneStatus])
return Task.done
class CharWalkStateAI(StateData.StateData):
notify = DirectNotifyGlobal.directNotify.newCategory('CharWalkStateAI')
def __init__(self, doneEvent, character, diffPath = None):
StateData.StateData.__init__(self, doneEvent)
self.__doneEvent = doneEvent
self.character = character
if diffPath == None:
self.paths = CCharPaths.getPaths(character.getName(), character.getCCLocation())
else:
self.paths = CCharPaths.getPaths(diffPath, character.getCCLocation())
self.speed = character.walkSpeed()
self.__lastWalkNode = CCharPaths.startNode
self.__curWalkNode = CCharPaths.startNode
return
def enter(self):
destNode = self.__lastWalkNode
choices = CCharPaths.getAdjacentNodes(self.__curWalkNode, self.paths)
if len(choices) == 1:
destNode = choices[0]
else:
while destNode == self.__lastWalkNode:
destNode = random.choice(CCharPaths.getAdjacentNodes(self.__curWalkNode, self.paths))
self.notify.debug('Walking ' + self.character.getName() + '... from ' + str(self.__curWalkNode) + '(' + str(CCharPaths.getNodePos(self.__curWalkNode, self.paths)) + ') to ' + str(destNode) + '(' + str(CCharPaths.getNodePos(destNode, self.paths)) + ')')
self.character.sendUpdate('setWalk', [self.__curWalkNode, destNode, globalClockDelta.getRealNetworkTime()])
duration = CCharPaths.getWalkDuration(self.__curWalkNode, destNode, self.speed, self.paths)
t = taskMgr.doMethodLater(duration, self.doneHandler, self.character.taskName(self.character.getName() + 'DoneWalking'))
t.newWalkNode = destNode
self.destNode = destNode
def exit(self):
StateData.StateData.exit(self)
taskMgr.remove(self.character.taskName(self.character.getName() + 'DoneWalking'))
def getDestNode(self):
if hasattr(self, 'destNode') and self.destNode:
return self.destNode
else:
return self.__curWalkNode
def setCurNode(self, curWalkNode):
self.__curWalkNode = curWalkNode
def doneHandler(self, task):
self.__lastWalkNode = self.__curWalkNode
self.__curWalkNode = task.newWalkNode
self.character.sendUpdate('setWalk', [self.__curWalkNode, self.__curWalkNode, globalClockDelta.getRealNetworkTime()])
doneStatus = {}
doneStatus['state'] = 'walk'
doneStatus['status'] = 'done'
messenger.send(self.__doneEvent, [doneStatus])
return Task.done
class CharFollowChipStateAI(StateData.StateData):
notify = DirectNotifyGlobal.directNotify.newCategory('CharFollowChipStateAI')
def __init__(self, doneEvent, character, followedChar):
StateData.StateData.__init__(self, doneEvent)
self.__doneEvent = doneEvent
self.character = character
self.followedChar = followedChar
self.paths = CCharPaths.getPaths(character.getName(), character.getCCLocation())
self.speed = character.walkSpeed()
self.__lastWalkNode = CCharPaths.startNode
self.__curWalkNode = CCharPaths.startNode
def enter(self, chipDestNode):
destNode = self.__lastWalkNode
choices = CCharPaths.getAdjacentNodes(self.__curWalkNode, self.paths)
if len(choices) == 1:
destNode = choices[0]
else:
while destNode == self.__lastWalkNode:
destNode = random.choice(CCharPaths.getAdjacentNodes(self.__curWalkNode, self.paths))
destNode = chipDestNode
self.notify.debug('Walking ' + self.character.getName() + '... from ' + str(self.__curWalkNode) + '(' + str(CCharPaths.getNodePos(self.__curWalkNode, self.paths)) + ') to ' + str(destNode) + '(' + str(CCharPaths.getNodePos(destNode, self.paths)) + ')')
self.offsetDistance = ToontownGlobals.DaleOrbitDistance
angle = random.randint(0, 359)
self.offsetX = math.cos(deg2Rad(angle)) * self.offsetDistance
self.offsetY = math.sin(deg2Rad(angle)) * self.offsetDistance
self.character.sendUpdate('setFollowChip', [self.__curWalkNode,
destNode,
globalClockDelta.getRealNetworkTime(),
self.offsetX,
self.offsetY])
duration = CCharPaths.getWalkDuration(self.__curWalkNode, destNode, self.speed, self.paths)
t = taskMgr.doMethodLater(duration, self.__doneHandler, self.character.taskName(self.character.getName() + 'DoneWalking'))
t.newWalkNode = destNode
def exit(self):
StateData.StateData.exit(self)
taskMgr.remove(self.character.taskName(self.character.getName() + 'DoneWalking'))
def __doneHandler(self, task):
self.__lastWalkNode = self.__curWalkNode
self.__curWalkNode = task.newWalkNode
self.character.sendUpdate('setFollowChip', [self.__curWalkNode,
self.__curWalkNode,
globalClockDelta.getRealNetworkTime(),
self.offsetX,
self.offsetY])
doneStatus = {}
doneStatus['state'] = 'walk'
doneStatus['status'] = 'done'
messenger.send(self.__doneEvent, [doneStatus])
return Task.done
class ChipChattyStateAI(CharChattyStateAI):
notify = DirectNotifyGlobal.directNotify.newCategory('ChipChattyStateAI')
def setDaleId(self, daleId):
self.daleId = daleId
self.dale = simbase.air.doId2do.get(self.daleId)
def blather(self, task):
now = globalClock.getFrameTime()
if now < self.nextChatTime:
return Task.cont
self.getLatestChatter()
if self.character.lostInterest():
self.leave()
return Task.done
if not self.chatter:
self.notify.debug('I do not want to talk')
return Task.done
if not self.character.getNearbyAvatars():
return Task.cont
target = self.character.getNearbyAvatars()[0]
if self.lastChatTarget != target:
self.lastChatTarget = target
category = CCharChatter.GREETING
else:
category = CCharChatter.COMMENT
if category == self.lastMessage[0] and len(self.chatter[category]) > 1:
msg = self.lastMessage[1]
lastMsgIndex = self.lastMessage[1]
if lastMsgIndex < len(self.chatter[category]) and lastMsgIndex >= 0:
while self.chatter[category][msg] == self.chatter[category][lastMsgIndex]:
msg = self.pickMsg(category)
if not msg:
break
else:
msg = self.pickMsg(category)
else:
msg = self.pickMsg(category)
if msg == None:
self.notify.debug('I do not want to talk')
return Task.done
self.character.sendUpdate('setChat', [category, msg, target])
if hasattr(self, 'dale') and self.dale:
self.dale.sendUpdate('setChat', [category, msg, target])
self.lastMessage = [category, msg]
self.nextChatTime = now + 8.0 + random.random() * 4.0
return Task.cont
def leave(self):
if self.chatter != None:
category = CCharChatter.GOODBYE
msg = random.randint(0, len(self.chatter[CCharChatter.GOODBYE]) - 1)
target = self.character.getNearbyAvatars()[0]
self.character.sendUpdate('setChat', [category, msg, target])
if hasattr(self, 'dale') and self.dale:
self.dale.sendUpdate('setChat', [category, msg, target])
taskMgr.doMethodLater(1, self.doneHandler, self.character.taskName('waitToFinish'))
return
| 40.971246 | 260 | 0.638958 | 1,231 | 12,824 | 6.552396 | 0.121852 | 0.074138 | 0.032234 | 0.016365 | 0.818249 | 0.792834 | 0.717704 | 0.70605 | 0.684726 | 0.684726 | 0 | 0.005004 | 0.251949 | 12,824 | 312 | 261 | 41.102564 | 0.835818 | 0 | 0 | 0.765568 | 0 | 0 | 0.042966 | 0.001638 | 0 | 0 | 0 | 0 | 0 | 1 | 0.095238 | false | 0 | 0.032967 | 0 | 0.25641 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
b432ec25b50331a811afb8865b460432d7a4da4e | 40 | py | Python | hydra/eo/__init__.py | JimBoonie/hydra | 63665090812e4e209c67d5dc0b84b5bb35a57ead | [
"MIT"
] | 28 | 2015-12-30T22:38:16.000Z | 2021-03-21T07:52:39.000Z | hydra/eo/__init__.py | JimBoonie/hydra | 63665090812e4e209c67d5dc0b84b5bb35a57ead | [
"MIT"
] | 2 | 2017-02-23T09:54:09.000Z | 2018-12-14T12:20:28.000Z | hydra/eo/__init__.py | JimBoonie/hydra | 63665090812e4e209c67d5dc0b84b5bb35a57ead | [
"MIT"
] | 7 | 2017-02-23T09:43:24.000Z | 2022-01-10T12:17:36.000Z | from .kuo import *
from .akyuz import *
| 13.333333 | 20 | 0.7 | 6 | 40 | 4.666667 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.2 | 40 | 2 | 21 | 20 | 0.875 | 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 |
b435b941fe75146a0258f8b758c36eaccc407686 | 36 | py | Python | GuaDao/SimpleTable/__init__.py | CYTMWIA/MyGarage | b7023e284528c6a581dd15f5017c91a222d02b10 | [
"MIT"
] | 1 | 2020-07-11T10:46:43.000Z | 2020-07-11T10:46:43.000Z | GuaDao/SimpleTable/__init__.py | CYTMWIA/MyGarage | b7023e284528c6a581dd15f5017c91a222d02b10 | [
"MIT"
] | null | null | null | GuaDao/SimpleTable/__init__.py | CYTMWIA/MyGarage | b7023e284528c6a581dd15f5017c91a222d02b10 | [
"MIT"
] | 1 | 2020-07-14T05:50:39.000Z | 2020-07-14T05:50:39.000Z | from .SimpleTable import SimpleTable | 36 | 36 | 0.888889 | 4 | 36 | 8 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.083333 | 36 | 1 | 36 | 36 | 0.969697 | 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 |
b44af72d464a1a15bc7d066204edee4b7a4490f0 | 821 | py | Python | imgkerneliu/__init__.py | liuyunclouder/imgkerneliu | 26a3aae488abdc7f1ae82a99e19e44193822b55c | [
"MIT"
] | 3 | 2019-09-22T09:17:37.000Z | 2020-07-29T00:41:41.000Z | imgkerneliu/__init__.py | liuyunclouder/imgkerneliu | 26a3aae488abdc7f1ae82a99e19e44193822b55c | [
"MIT"
] | null | null | null | imgkerneliu/__init__.py | liuyunclouder/imgkerneliu | 26a3aae488abdc7f1ae82a99e19e44193822b55c | [
"MIT"
] | 1 | 2020-09-01T09:12:57.000Z | 2020-09-01T09:12:57.000Z | from .kernels import *
from .imgconv import imgconv
def identity(imgpath, gray=True, **argkw):
return imgconv(imgpath, identity_kernel(**argkw), strides=1, mean=False, gray=gray)
def sharpen(imgpath, gray=True, **argkw):
return imgconv(imgpath, sharpen_kernel(**argkw), strides=1, mean=False, gray=gray)
def blur(imgpath, gray=True, **argkw):
return imgconv(imgpath, blur_kernel(**argkw), strides=1, mean=False, gray=gray)
def emboss(imgpath, gray=True, **argkw):
return imgconv(imgpath, emboss_kernel(**argkw), strides=1, mean=False, gray=gray)
def outline(imgpath, gray=True, **argkw):
return imgconv(imgpath, outline_kernel(**argkw), strides=1, mean=True, gray=gray)
def sobel(imgpath, gray=True, **argkw):
return imgconv(imgpath, sobel_kernel(**argkw), strides=1, mean=False, gray=gray)
| 39.095238 | 87 | 0.723508 | 115 | 821 | 5.113043 | 0.182609 | 0.112245 | 0.153061 | 0.204082 | 0.77381 | 0.734694 | 0.734694 | 0.326531 | 0.265306 | 0 | 0 | 0.008299 | 0.119367 | 821 | 20 | 88 | 41.05 | 0.804979 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.428571 | false | 0 | 0.142857 | 0.428571 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 6 |
5eece864b54c032ed0f091be3c589bc625240e31 | 27 | py | Python | tests/__init__.py | AlexSteele/pydb | 45f6e603d48a865a2425ecd243e39069873f5f4d | [
"MIT"
] | 1 | 2021-04-04T07:59:51.000Z | 2021-04-04T07:59:51.000Z | tests/__init__.py | AlexSteele/pydb | 45f6e603d48a865a2425ecd243e39069873f5f4d | [
"MIT"
] | null | null | null | tests/__init__.py | AlexSteele/pydb | 45f6e603d48a865a2425ecd243e39069873f5f4d | [
"MIT"
] | null | null | null | from .fuzzer import Fuzzer
| 13.5 | 26 | 0.814815 | 4 | 27 | 5.5 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.148148 | 27 | 1 | 27 | 27 | 0.956522 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
6f05b4d2cd5bb0199d50acb088732a4ad4f4868d | 8,593 | py | Python | unittests.py | SamK/pynagios | 8818b69c9b168a7293df7450461fb8a4160b42b9 | [
"MIT"
] | null | null | null | unittests.py | SamK/pynagios | 8818b69c9b168a7293df7450461fb8a4160b42b9 | [
"MIT"
] | null | null | null | unittests.py | SamK/pynagios | 8818b69c9b168a7293df7450461fb8a4160b42b9 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import unittest
import sys
import pynagios
class ReadmeExamples(unittest.TestCase):
def test_example1(self):
# 2a. create the first service
service1 = pynagios.Service("Service1")
service1.value = 23
service1.max_level = 100
service1.warn_level = 85
service1.crit_level = 95
# 3. create a "Check" instance
check = pynagios.Check()
# 5. add the services into the nagios instance
check.add(service1)
# 5. print the check
print check.output()
# 6. exit with the appropriate exit code
self.assertEqual(check.exit_code, 0)
class SimpleServiceTestCase(unittest.TestCase):
def setUp(self):
self.check = pynagios.Check()
self.service = pynagios.Service('single_service')
self.service.max_level = 100
class Test_Exceptions(SimpleServiceTestCase):
def setUp(self):
super(Test_Exceptions, self).setUp()
def test_no_service(self):
with self.assertRaises(Exception):
self.check.output()
def test_mix_abs_percent(self):
self.service.warn_level = '80'
self.service.crit_level = '90%'
with self.assertRaises(Exception):
self.check.add(self.service)
def test_mix_percent_abs(self):
self.service = warn_level = '50%'
self.service = crit_level = '60'
with self.assertRaises(Exception):
self.check.add(self.service)
class Absolute_Values_TestCase(SimpleServiceTestCase):
def setUp(self):
super(Absolute_Values_TestCase, self).setUp()
self.service.warn_level = 80
self.service.crit_level = 90
def test_check_ok(self):
self.service.value = 1
self.check.add(self.service)
self.assertEqual(self.check.status, 'OK')
self.assertEqual(self.check.exit_code, 0)
self.assertEqual(self.check.output(), 'OK - single_service is OK 1/100')
def test_check_warning(self):
self.service.value = 81
self.check.add(self.service)
self.assertEqual(self.check.status, 'WARNING')
self.assertEqual(self.check.exit_code, 1)
self.assertEqual(self.check.output(), 'WARNING - single_service is WARNING 81/100')
def test_check_critical(self):
self.service.value = 91
self.check.add(self.service)
self.assertEqual(self.check.status, 'CRITICAL')
self.assertEqual(self.check.exit_code, 2)
self.assertEqual(self.check.output(), 'CRITICAL - single_service is CRITICAL 91/100')
def test_no_value(self):
self.service.value = None
self.check.add(self.service)
self.assertEqual(self.check.status, 'UNKNOWN')
self.assertEqual(self.check.exit_code, 3)
self.assertEqual(self.check.output(), 'UNKNOWN - single_service is UNKNOWN None/100')
class Percent_Values_TestCase(SimpleServiceTestCase):
def setUp(self):
super(Percent_Values_TestCase, self).setUp()
self.service.warn_level = '80%'
self.service.crit_level = '90%'
def test_check_ok(self):
self.service.value = 1
self.check.add(self.service)
self.assertEqual(self.check.status, 'OK')
self.assertEqual(self.check.exit_code, 0)
self.assertEqual(self.check.output(), 'OK - single_service is OK 1/100')
def test_check_warning(self):
self.service.value = 85
self.check.add(self.service)
self.assertEqual(self.check.status, 'WARNING')
self.assertEqual(self.check.exit_code, 1)
self.assertEqual(self.check.output(), 'WARNING - single_service is WARNING 85/100')
def test_check_critical(self):
self.service.value = 95
self.check.add(self.service)
self.assertEqual(self.check.status, 'CRITICAL')
self.assertEqual(self.check.exit_code, 2)
self.assertEqual(self.check.output(), 'CRITICAL - single_service is CRITICAL 95/100')
def test_check_unknown(self):
self.service.value = None
self.check.add(self.service)
self.assertEqual(self.check.status, 'UNKNOWN')
self.assertEqual(self.check.exit_code, 3)
self.assertEqual(self.check.output(), 'UNKNOWN - single_service is UNKNOWN None/100')
class No_Max_Value_TestCase(unittest.TestCase):
def setUp(self):
self.check = pynagios.Check()
self.service = pynagios.Service('no_max_value')
self.service.warn_level = 80
self.service.crit_level = 90
def test_check_ok(self):
self.service.value = 10
self.service.text = '%(name)s has value of %(value)s'
self.check.add(self.service)
self.assertEqual(self.check.status, 'OK')
def test_check_warning(self):
self.service.value = 81
self.service.text = '%(name)s has value of %(value)s'
self.check.add(self.service)
self.assertEqual(self.check.status, 'WARNING')
def test_check_critical(self):
self.service.value = 91
self.service.text = '%(name)s has value of %(value)s'
self.check.add(self.service)
self.assertEqual(self.check.status, 'CRITICAL')
class Exit_Code_TestCase(SimpleServiceTestCase):
def test_exit_codes(self):
self.assertEqual(self.check.status_codes['OK'], 0)
self.assertEqual(self.check.status_codes['WARNING'], 1)
self.assertEqual(self.check.status_codes['CRITICAL'], 2)
self.assertEqual(self.check.status_codes['UNKNOWN'], 3)
class StringServiceTestCase(unittest.TestCase):
def setUp(self):
self.service = pynagios.Service('single_service')
self.service.stringvalues = True
self.service.ok_level = 'ok'
self.service.warn_level = 'warn'
self.service.crit_level = 'crit'
self.check = pynagios.Check()
class String_Values_TestCase(StringServiceTestCase):
def test_ok_all_defined(self):
self.service.value = 'ok'
self.check.add(self.service)
self.assertEqual(self.check.status, 'OK')
def test_critical_all_defined(self):
self.service.value = 'crit'
self.check.add(self.service)
self.assertEqual(self.check.status, 'CRITICAL')
def test_warning_all_defined(self):
self.service.value = 'warn'
self.check.add(self.service)
self.assertEqual(self.check.status, 'WARNING')
def test_unknown_all_defined(self):
self.service.value = 'other'
self.check.add(self.service)
self.assertEqual(self.check.status, 'UNKNOWN')
self.assertEqual(self.check.exit_code, 3)
def test_check_ok_exclude_ok(self):
self.service.value = 'ok'
self.service.ok_level = None
self.check.add(self.service)
self.assertEqual(self.check.status, 'OK')
def test_check_ok_exclude_warning(self):
self.service.value = 'ok'
self.service.warn_level = None
self.check.add(self.service)
self.assertEqual(self.check.status, 'OK')
def test_check_ok_exclude_critical(self):
self.service.value = 'ok'
self.service.crit_level = None
self.check.add(self.service)
self.assertEqual(self.check.status, 'OK')
def test_check_warning_exclude_ok(self):
self.service.value = 'warn'
self.service.ok_level = None
self.check.add(self.service)
self.assertEqual(self.check.status, 'WARNING')
def test_check_warning_exclude_warning(self):
self.service.value = 'warn'
self.service.warn_level = None
self.check.add(self.service)
self.assertEqual(self.check.status, 'WARNING')
def test_check_warning_exclude_critical(self):
self.service.value = 'warn'
self.service.crit_level = None
self.check.add(self.service)
self.assertEqual(self.check.status, 'WARNING')
def test_check_critical_exclude_ok(self):
self.service.value = 'crit'
self.service.ok_level = None
self.check.add(self.service)
self.assertEqual(self.check.status, 'CRITICAL')
def test_check_critical_exclude_warning(self):
self.service.value = 'crit'
self.service.warn_level = None
self.check.add(self.service)
self.assertEqual(self.check.status, 'CRITICAL')
def test_check_critical_exclude_critical(self):
self.service.value = 'crit'
self.service.crit_level = None
self.check.add(self.service)
self.assertEqual(self.check.status, 'CRITICAL')
if __name__ == "__main__":
unittest.main(verbosity=2)
| 32.923372 | 93 | 0.660072 | 1,082 | 8,593 | 5.096118 | 0.086876 | 0.159594 | 0.15506 | 0.195865 | 0.821364 | 0.797969 | 0.723975 | 0.667029 | 0.653609 | 0.626406 | 0 | 0.016492 | 0.223787 | 8,593 | 260 | 94 | 33.05 | 0.810195 | 0.021064 | 0 | 0.642487 | 0 | 0 | 0.083988 | 0 | 0 | 0 | 0 | 0 | 0.253886 | 0 | null | null | 0 | 0.015544 | null | null | 0.005181 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
6f2463561cddc94ba3b96eda3e257915d981e153 | 25 | py | Python | botal/__init__.py | dvec/botal | 207ae03b01c6177350124668c0c80a6f7b7c4cef | [
"MIT"
] | null | null | null | botal/__init__.py | dvec/botal | 207ae03b01c6177350124668c0c80a6f7b7c4cef | [
"MIT"
] | null | null | null | botal/__init__.py | dvec/botal | 207ae03b01c6177350124668c0c80a6f7b7c4cef | [
"MIT"
] | null | null | null | from .botal import Botal
| 12.5 | 24 | 0.8 | 4 | 25 | 5 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.16 | 25 | 1 | 25 | 25 | 0.952381 | 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 |
6f5cde1c9dbf9c23082d10ec68b00d989033606b | 35 | py | Python | nitorch/_C/__init__.py | balbasty/nitorch | d30c3125a8a66ea1434f2b39ed03338afd9724b4 | [
"MIT"
] | 46 | 2020-07-31T10:14:05.000Z | 2022-03-24T12:51:46.000Z | nitorch/_C/__init__.py | balbasty/nitorch | d30c3125a8a66ea1434f2b39ed03338afd9724b4 | [
"MIT"
] | 36 | 2020-10-06T19:01:38.000Z | 2022-02-03T18:07:35.000Z | nitorch/_C/__init__.py | balbasty/nitorch | d30c3125a8a66ea1434f2b39ed03338afd9724b4 | [
"MIT"
] | 6 | 2021-01-05T14:59:05.000Z | 2021-11-18T18:26:45.000Z | from .grid import COMPILED_BACKEND
| 17.5 | 34 | 0.857143 | 5 | 35 | 5.8 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.114286 | 35 | 1 | 35 | 35 | 0.935484 | 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 |
48e6a4bd1c7a1bd245e23dd64f7f83f9d7533034 | 46 | py | Python | src/session/stopwatch/__init__.py | Oire/TheQube | fcfd8a68b15948e0740642d635db24adef8cc314 | [
"MIT"
] | 21 | 2015-08-02T21:26:14.000Z | 2019-12-27T09:57:44.000Z | src/session/stopwatch/__init__.py | Oire/TheQube | fcfd8a68b15948e0740642d635db24adef8cc314 | [
"MIT"
] | 34 | 2015-01-12T00:38:14.000Z | 2020-08-31T11:19:37.000Z | src/session/stopwatch/__init__.py | Oire/TheQube | fcfd8a68b15948e0740642d635db24adef8cc314 | [
"MIT"
] | 15 | 2015-03-24T15:42:30.000Z | 2020-09-24T20:26:42.000Z | from main import Stopwatch
import interface
| 15.333333 | 27 | 0.826087 | 6 | 46 | 6.333333 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.173913 | 46 | 2 | 28 | 23 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
d2a532e074f6f55081d5e63e7aa18bfc6e77b21d | 3,682 | py | Python | tests/test_base.py | danieltodor/rpi-gpio-devices | 6a9d9981d2b58d1ba3b2419bf89bdaa03bad6577 | [
"MIT"
] | null | null | null | tests/test_base.py | danieltodor/rpi-gpio-devices | 6a9d9981d2b58d1ba3b2419bf89bdaa03bad6577 | [
"MIT"
] | null | null | null | tests/test_base.py | danieltodor/rpi-gpio-devices | 6a9d9981d2b58d1ba3b2419bf89bdaa03bad6577 | [
"MIT"
] | null | null | null | from datetime import datetime, timedelta
from src.base import BaseDevice, SwitchableDevice, PWMDevice
from RPi.GPIO import assert_output, assert_duty_cycle, HIGH, LOW
def test_base_device():
BaseDevice()
def test_switchable_device_on_off_methods():
switchable = SwitchableDevice(1)
assert switchable.is_on() is False
assert switchable.is_off() is True
def test_switchable_device_turn_on_off_methods():
pin = 1
switchable = SwitchableDevice(pin)
switchable.turn_on()
assert switchable.is_on() is True
assert_output(pin, HIGH)
switchable.turn_off()
assert switchable.is_off() is True
assert_output(pin, LOW)
switchable.turn_off()
def test_switchable_device_toggle_method():
pin = 1
switchable = SwitchableDevice(pin)
switchable.toggle()
assert switchable.is_on() is True
assert_output(pin, HIGH)
switchable.toggle()
assert switchable.is_off() is True
assert_output(pin, LOW)
switchable.turn_off()
def test_switchable_device_ontime_method():
switchable = SwitchableDevice(1)
assert switchable.ontime() is 0
switchable.turn_on()
assert switchable.ontime() is 0
ten_minutes_ago = datetime.now() - timedelta(minutes=10)
switchable.turned_on_at = ten_minutes_ago
assert switchable.ontime() == 10 * 60
switchable.turn_off()
def test_pwm_device_turn_on_off_methods_single_pin():
pin1 = 1
pwm = PWMDevice(pin1)
assert pwm.is_off() is True
assert pwm.is_on() is False
assert_output(pin1, LOW)
pwm.turn_on()
assert pwm.is_off() is False
assert pwm.is_on() is True
assert_output(pin1, HIGH)
assert_duty_cycle(pin1, 0)
pwm.turn_off()
assert pwm.is_off() is True
assert pwm.is_on() is False
assert_output(pin1, LOW)
pwm.turn_off()
def test_pwm_device_turn_on_off_methods():
pin1, pin2 = 1, 2
pwm = PWMDevice(pin1, pin2)
assert pwm.is_off() is True
assert pwm.is_on() is False
assert_output(pin1, LOW)
assert_output(pin2, LOW)
pwm.turn_on()
assert pwm.is_off() is False
assert pwm.is_on() is True
assert_output(pin1, HIGH)
assert_output(pin2, HIGH)
assert_duty_cycle(pin1, 0)
pwm.turn_off()
assert pwm.is_off() is True
assert pwm.is_on() is False
assert_output(pin1, LOW)
assert_output(pin2, LOW)
pwm.turn_off()
def test_pwm_device_set_duty_cycle_method_single_pin():
pin1 = 1
pwm = PWMDevice(pin1)
pwm.set_duty_cycle(50)
assert_duty_cycle(pin1, 50)
assert pwm.is_on() is True
assert pwm.is_off() is False
assert_output(pin1, HIGH)
pwm.set_duty_cycle(0)
assert_duty_cycle(pin1, 0)
assert_output(pin1, LOW)
assert pwm.is_on() is False
assert pwm.is_off() is True
pwm.turn_on()
pwm.set_duty_cycle(0, z_off=False)
assert_duty_cycle(pin1, 0)
assert pwm.is_on() is True
assert pwm.is_off() is False
assert_output(pin1, HIGH)
pwm.turn_off()
def test_pwm_device_set_duty_cycle_method():
pin1, pin2 = 1, 2
pwm = PWMDevice(pin1, pin2)
pwm.set_duty_cycle(50)
assert_duty_cycle(pin1, 50)
assert pwm.is_on() is True
assert pwm.is_off() is False
assert_output(pin1, HIGH)
assert_output(pin2, HIGH)
pwm.set_duty_cycle(0)
assert_duty_cycle(pin1, 0)
assert_output(pin1, LOW)
assert_output(pin2, LOW)
assert pwm.is_on() is False
assert pwm.is_off() is True
pwm.turn_on()
pwm.set_duty_cycle(0, z_off=False)
assert_duty_cycle(pin1, 0)
assert pwm.is_on() is True
assert pwm.is_off() is False
assert_output(pin1, HIGH)
assert_output(pin2, HIGH)
pwm.turn_off()
| 23.0125 | 64 | 0.695003 | 559 | 3,682 | 4.298748 | 0.089445 | 0.089888 | 0.109863 | 0.069913 | 0.851852 | 0.769871 | 0.722846 | 0.697878 | 0.664586 | 0.664586 | 0 | 0.02543 | 0.209669 | 3,682 | 159 | 65 | 23.157233 | 0.800344 | 0 | 0 | 0.853448 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.551724 | 1 | 0.077586 | false | 0 | 0.025862 | 0 | 0.103448 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
d2e97f2040dd6ba888c86f615734980a4bfffbd4 | 261 | py | Python | agape/authentication/admin.py | codewiseio/django-agape | a63fc2cc63776c2b2cb16c7f6aee64f5783c3bba | [
"MIT"
] | null | null | null | agape/authentication/admin.py | codewiseio/django-agape | a63fc2cc63776c2b2cb16c7f6aee64f5783c3bba | [
"MIT"
] | null | null | null | agape/authentication/admin.py | codewiseio/django-agape | a63fc2cc63776c2b2cb16c7f6aee64f5783c3bba | [
"MIT"
] | null | null | null | from django.contrib import admin
# Register your models here.
from django.contrib import admin
from .models import User,UserActivation,ResetPasswordRequest
admin.site.register(User)
admin.site.register(UserActivation)
admin.site.register(ResetPasswordRequest) | 29 | 60 | 0.846743 | 32 | 261 | 6.90625 | 0.40625 | 0.122172 | 0.230769 | 0.208145 | 0.253394 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.08046 | 261 | 9 | 61 | 29 | 0.920833 | 0.099617 | 0 | 0.333333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.333333 | 0.5 | 0 | 0.5 | 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 | 1 | 1 | 0 | 0 | 0 | 0 | 6 |
827d930d6218f5a1111d5f75cbf14a34adc02cb1 | 71 | py | Python | tests/conftest.py | AgriConnect/distmqtt | 6827a25eb862cc0325bda0f8443c8e65d8dd2c79 | [
"MIT"
] | 11 | 2020-07-03T20:51:01.000Z | 2022-01-01T18:25:32.000Z | tests/conftest.py | AgriConnect/distmqtt | 6827a25eb862cc0325bda0f8443c8e65d8dd2c79 | [
"MIT"
] | 10 | 2020-07-12T15:55:04.000Z | 2022-01-05T11:48:33.000Z | tests/conftest.py | AgriConnect/distmqtt | 6827a25eb862cc0325bda0f8443c8e65d8dd2c79 | [
"MIT"
] | 7 | 2020-08-03T03:53:41.000Z | 2022-03-03T09:10:12.000Z | import pytest
@pytest.fixture
def anyio_backend():
return "trio"
| 10.142857 | 20 | 0.71831 | 9 | 71 | 5.555556 | 0.888889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.183099 | 71 | 6 | 21 | 11.833333 | 0.862069 | 0 | 0 | 0 | 0 | 0 | 0.056338 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | true | 0 | 0.25 | 0.25 | 0.75 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 6 |
8288a7954c4ec2a3e16c7da1a6324203e489c5f3 | 12,137 | py | Python | src/pmuse_utils/dict/psf_dictionary_v6.py | emsellem/pmuse_utils | d9ca44b782534d9f6530e285560c56febe0ba407 | [
"MIT"
] | null | null | null | src/pmuse_utils/dict/psf_dictionary_v6.py | emsellem/pmuse_utils | d9ca44b782534d9f6530e285560c56febe0ba407 | [
"MIT"
] | null | null | null | src/pmuse_utils/dict/psf_dictionary_v6.py | emsellem/pmuse_utils | d9ca44b782534d9f6530e285560c56febe0ba407 | [
"MIT"
] | null | null | null | # v6.0 - changed for DR2.1
# fwhm, alpha, lambda0, b
dict_psf_150pc = {'IC5332': 3.43393120433962,
'NGC0628': 3.1442805342769633,
'NGC1087': 1.952032819711232,
'NGC1300': 1.6292638920470441,
'NGC1365': 1.5809770781574026,
'NGC1385': 1.7967318333787632,
'NGC1433': 1.660747307075634,
'NGC1512': 1.6431078631133105,
'NGC1566': 1.7489949125494855,
'NGC1672': 1.594831007497124,
'NGC2835': 2.531892001716559,
'NGC3351': 3.1063976725466658,
'NGC3627': 2.733190969184465,
'NGC4254': 2.361810689779021,
'NGC4303': 1.821054817767559,
'NGC4321': 2.034169681753257,
'NGC4535': 1.9619353226989054,
'NGC5068': 5.9499465522935955,
'NGC7496': 1.6527629311926655}
dict_psf_copt = {"NGC0628": 0.92,
"NGC1087": 0.92,
"NGC1365": 1.15,
"NGC1512": 1.25,
"NGC1672": 0.96,
"NGC2835": 1.15,
"NGC3627": 1.05,
"IC5332": 0.87,
"NGC4254": 0.89,
"NGC4535": 0.56,
"NGC5068": 1.04,
"NGC1300": 0.89,
"NGC1385": 0.67,
"NGC1433": 0.91,
"NGC1566": 0.80,
"NGC3351": 1.05,
"NGC4303": 0.78,
"NGC4321": 1.16,
"NGC7496": 0.89,
}
dict_psf_IC5332 = {1: ['moffat', 0.595, 2.8, 6483.58, -3e-5],
2: ['moffat', 0.798, 2.8, 6483.58, -3e-5],
3: ['moffat', 0.667, 2.8, 6483.58, -3e-5],
4: ['moffat', 0.720, 2.8, 6483.58, -3e-5],
5: ['moffat', 0.751, 2.8, 6483.58, -3e-5]}
dict_psf_NGC0628 = {1: ['moffat', 0.733, 2.8, 6483.58, -3e-5],
2: ['moffat', 0.771, 2.8, 6483.58, -3e-5],
3: ['moffat', 0.733, 2.8, 6483.58, -3e-5],
4: ['moffat', 0.841, 2.8, 6483.58, -3e-5],
5: ['moffat', 0.742, 2.8, 6483.58, -3e-5],
6: ['moffat', 0.621, 2.8, 6483.58, -3e-5],
7: ['moffat', 0.601, 2.8, 6483.58, -3e-5],
8: ['moffat', 0.695, 2.8, 6483.58, -3e-5],
9: ['moffat', 0.698, 2.8, 6483.58, -3e-5],
10: ['moffat', 0.752, 2.8, 6483.58, -3e-5],
11: ['moffat', 0.738, 2.8, 6483.58, -3e-5],
12: ['moffat', 0.664, 2.8, 6483.58, -3e-5]}
dict_psf_NGC1087 = {1: ['moffat', 0.695, 2.8, 6483.58, -3e-5],
2: ['moffat', 0.788, 2.8, 6483.58, -3e-5],
3: ['moffat', 0.829, 2.8, 6483.58, -3e-5],
4: ['moffat', 0.630, 2.8, 6483.58, -3e-5],
5: ['moffat', 0.845, 2.8, 6483.58, -3e-5],
6: ['moffat', 0.626, 2.8, 6483.58, -3e-5]}
dict_psf_NGC1300 = {1: ['moffat', 0.781, 2.3, 6483.58, -3e-5],
2: ['moffat', 0.660, 2.3, 6483.58, -3e-5],
3: ['moffat', 0.752, 2.3, 6483.58, -3e-5],
4: ['moffat', 0.813, 2.3, 6483.58, -3e-5],
5: ['moffat', 0.538, 2.3, 6483.58, -3e-5],
6: ['moffat', 0.498, 2.3, 6483.58, -3e-5],
7: ['moffat', 0.631, 2.3, 6483.58, -3e-5],
8: ['moffat', 0.557, 2.3, 6483.58, -3e-5],
9: ['moffat', 0.577, 2.3, 6483.58, -3e-5],
10: ['moffat', 0.625, 2.3, 6483.58, -3e-5],
11: ['moffat', 0.536, 2.3, 6483.58, -3e-5],
12: ['moffat', 0.692, 2.3, 6483.58, -3e-5]}
dict_psf_NGC1365 = {1: ['moffat', 0.708, 2.8, 6483.58, -3e-5],
2: ['moffat', 0.821, 2.8, 6483.58, -3e-5],
3: ['moffat', 0.831, 2.8, 6483.58, -3e-5],
4: ['moffat', 0.899, 2.8, 6483.58, -3e-5],
5: ['moffat', 0.923, 2.8, 6483.58, -3e-5],
6: ['moffat', 0.716, 2.8, 6483.58, -3e-5],
7: ['moffat', 0.640, 2.8, 6483.58, -3e-5],
8: ['moffat', 0.902, 2.8, 6483.58, -3e-5],
9: ['moffat', 0.901, 2.8, 6483.58, -3e-5],
10: ['moffat', 1.081, 2.8, 6483.58, -3e-5],
11: ['moffat', 0.583, 2.8, 6483.58, -3e-5],
12: ['moffat', 0.756, 2.8, 6483.58, -3e-5],
30: ['moffat', 0.823, 2.8, 6483.58, -3e-5]}
dict_psf_NGC1385 = {1: ['moffat', 0.489, 2.3, 6483.58, -3e-5],
2: ['moffat', 0.379, 2.3, 6483.58, -3e-5],
3: ['moffat', 0.568, 2.3, 6483.58, -3e-5],
4: ['moffat', 0.694, 2.3, 6483.58, -3e-5],
5: ['moffat', 0.591, 2.3, 6483.58, -3e-5]}
dict_psf_NGC1433 = {1: ['moffat', 0.701, 2.3, 6483.58, -3e-5],
2: ['moffat', 0.630, 2.3, 6483.58, -3e-5],
3: ['moffat', 0.831, 2.3, 6483.58, -3e-5],
4: ['moffat', 0.601, 2.3, 6483.58, -3e-5],
5: ['moffat', 0.628, 2.3, 6483.58, -3e-5],
6: ['moffat', 0.648, 2.3, 6483.58, -3e-5],
7: ['moffat', 0.702, 2.3, 6483.58, -3e-5],
8: ['moffat', 0.649, 2.3, 6483.58, -3e-5],
9: ['moffat', 0.709, 2.3, 6483.58, -3e-5],
10: ['moffat', 0.618, 2.3, 6483.58, -3e-5],
11: ['moffat', 0.609, 2.3, 6483.58, -3e-5],
12: ['moffat', 0.654, 2.3, 6483.58, -3e-5],
13: ['moffat', 0.646, 2.3, 6483.58, -3e-5],
14: ['moffat', 0.506, 2.3, 6483.58, -3e-5],
15: ['moffat', 0.642, 2.3, 6483.58, -3e-5]}
dict_psf_NGC1512 = {1: ['moffat', 0.732, 2.8, 6483.58, -3e-5],
2: ['moffat', 0.847, 2.8, 6483.58, -3e-5],
3: ['moffat', 1.176, 2.8, 6483.58, -3e-5],
4: ['moffat', 0.800, 2.8, 6483.58, -3e-5],
5: ['moffat', 0.683, 2.8, 6483.58, -3e-5],
6: ['moffat', 0.699, 2.8, 6483.58, -3e-5],
7: ['moffat', 0.829, 2.8, 6483.58, -3e-5],
8: ['moffat', 0.927, 2.8, 6483.58, -3e-5],
30: ['moffat', 0.636, 2.8, 6483.58, -3e-5]}
dict_psf_NGC1566 = {1: ['moffat', 0.539, 2.3, 6483.58, -3e-5],
2: ['moffat', 0.557, 2.3, 6483.58, -3e-5],
3: ['moffat', 0.596, 2.3, 6483.58, -3e-5],
4: ['moffat', 0.649, 2.3, 6483.58, -3e-5],
5: ['moffat', 0.633, 2.3, 6483.58, -3e-5],
6: ['moffat', 0.723, 2.3, 6483.58, -3e-5],
7: ['moffat', 0.642, 2.3, 6483.58, -3e-5],
30: ['moffat', 0.641, 2.3, 6483.58, -3e-5]}
dict_psf_NGC1672 = {1: ['moffat', 0.651, 2.8, 6483.58, -3e-5],
2: ['moffat', 0.887, 2.8, 6483.58, -3e-5],
3: ['moffat', 0.729, 2.8, 6483.58, -3e-5],
4: ['moffat', 0.645, 2.8, 6483.58, -3e-5],
5: ['moffat', 0.798, 2.8, 6483.58, -3e-5],
6: ['moffat', 0.773, 2.8, 6483.58, -3e-5],
7: ['moffat', 0.715, 2.8, 6483.58, -3e-5],
8: ['moffat', 0.683, 2.8, 6483.58, -3e-5]}
dict_psf_NGC2835 = {1: ['moffat', 0.775, 2.8, 6483.58, -3e-5],
2: ['moffat', 1.080, 2.8, 6483.58, -3e-5],
3: ['moffat', 0.932, 2.8, 6483.58, -3e-5],
4: ['moffat', 0.673, 2.8, 6483.58, -3e-5],
5: ['moffat', 0.849, 2.8, 6483.58, -3e-5],
6: ['moffat', 0.709, 2.8, 6483.58, -3e-5],
30: ['moffat', 0.867, 2.8, 6483.58, -3e-5]}
dict_psf_NGC3351 = {1: ['moffat', 0.715, 2.8, 6483.58, -3e-5],
2: ['moffat', 0.758, 2.8, 6483.58, -3e-5],
3: ['moffat', 0.656, 2.8, 6483.58, -3e-5],
4: ['moffat', 0.731, 2.8, 6483.58, -3e-5],
5: ['moffat', 0.825, 2.8, 6483.58, -3e-5],
6: ['moffat', 0.980, 2.8, 6483.58, -3e-5],
7: ['moffat', 0.839, 2.8, 6483.58, -3e-5],
8: ['moffat', 0.742, 2.8, 6483.58, -3e-5],
30: ['moffat', 0.612, 2.8, 6483.58, -3e-5]}
dict_psf_NGC3627 = {1: ['moffat', 0.675, 2.8, 6483.58, -3e-5],
2: ['moffat', 0.781, 2.8, 6483.58, -3e-5],
3: ['moffat', 0.980, 2.8, 6483.58, -3e-5],
4: ['moffat', 0.754, 2.8, 6483.58, -3e-5],
5: ['moffat', 0.798, 2.8, 6483.58, -3e-5],
6: ['moffat', 0.767, 2.8, 6483.58, -3e-5],
7: ['moffat', 0.744, 2.8, 6483.58, -3e-5],
8: ['moffat', 0.814, 2.8, 6483.58, -3e-5]}
dict_psf_NGC4254 = {1: ['moffat', 0.633, 2.3, 6483.58, -3e-5],
2: ['moffat', 0.573, 2.3, 6483.58, -3e-5],
3: ['moffat', 0.588, 2.3, 6483.58, -3e-5],
4: ['moffat', 0.609, 2.3, 6483.58, -3e-5],
5: ['moffat', 0.815, 2.3, 6483.58, -3e-5],
6: ['moffat', 0.771, 2.3, 6483.58, -3e-5],
7: ['moffat', 0.619, 2.3, 6483.58, -3e-5],
8: ['moffat', 0.485, 2.3, 6483.58, -3e-5],
9: ['moffat', 0.454, 2.3, 6483.58, -3e-5],
10: ['moffat', 0.534, 2.3, 6483.58, -3e-5],
11: ['moffat', 0.444, 2.3, 6483.58, -3e-5],
12: ['moffat', 0.451, 2.3, 6483.58, -3e-5]}
dict_psf_NGC4303 = {1: ['moffat', 0.554, 2.3, 6483.58, -3e-5],
2: ['moffat', 0.637, 2.3, 6483.58, -3e-5],
3: ['moffat', 0.587, 2.3, 6483.58, -3e-5],
4: ['moffat', 0.536, 2.3, 6483.58, -3e-5],
5: ['moffat', 0.579, 2.3, 6483.58, -3e-5],
6: ['moffat', 0.533, 2.3, 6483.58, -3e-5],
7: ['moffat', 0.507, 2.3, 6483.58, -3e-5],
8: ['moffat', 0.612, 2.3, 6483.58, -3e-5],
9: ['moffat', 0.700, 2.3, 6483.58, -3e-5]}
dict_psf_NGC4321 = {1: ['moffat', 0.791, 2.3, 6483.58, -3e-5],
2: ['moffat', 0.588, 2.3, 6483.58, -3e-5],
3: ['moffat', 0.846, 2.3, 6483.58, -3e-5],
4: ['moffat', 0.474, 2.3, 6483.58, -3e-5],
5: ['moffat', 0.718, 2.3, 6483.58, -3e-5],
6: ['moffat', 0.463, 2.3, 6483.58, -3e-5],
7: ['moffat', 0.615, 2.3, 6483.58, -3e-5],
8: ['moffat', 0.997, 2.3, 6483.58, -3e-5],
9: ['moffat', 0.499, 2.3, 6483.58, -3e-5],
10: ['moffat', 0.673, 2.3, 6483.58, -3e-5],
11: ['moffat', 1.092, 2.3, 6483.58, -3e-5]}
dict_psf_NGC4535 = {1: ['moffat', 0.473, 2.3, 6483.58, -3e-5],
2: ['moffat', 0.428, 2.3, 6483.58, -3e-5],
3: ['moffat', 0.427, 2.3, 6483.58, -3e-5],
4: ['moffat', 0.469, 2.3, 6483.58, -3e-5],
5: ['moffat', 0.443, 2.3, 6483.58, -3e-5],
6: ['moffat', 0.433, 2.3, 6483.58, -3e-5]}
dict_psf_NGC5068 = {1: ['moffat', 0.669, 2.8, 6483.58, -3e-5],
2: ['moffat', 0.880, 2.8, 6483.58, -3e-5],
3: ['moffat', 0.962, 2.8, 6483.58, -3e-5],
4: ['moffat', 0.690, 2.8, 6483.58, -3e-5],
5: ['moffat', 0.622, 2.8, 6483.58, -3e-5],
6: ['moffat', 0.833, 2.8, 6483.58, -3e-5],
7: ['moffat', 0.773, 2.8, 6483.58, -3e-5],
8: ['moffat', 0.557, 2.8, 6483.58, -3e-5],
9: ['moffat', 0.523, 2.8, 6483.58, -3e-5],
10: ['moffat', 0.904, 2.8, 6483.58, -3e-5]}
dict_psf_NGC7496 = {1: ['moffat', 0.616, 2.3, 6483.58, -3e-5],
2: ['moffat', 0.813, 2.3, 6483.58, -3e-5],
3: ['moffat', 0.786, 2.3, 6483.58, -3e-5]}
dict_locals = locals()
| 52.090129 | 62 | 0.390294 | 1,870 | 12,137 | 2.51016 | 0.120321 | 0.214742 | 0.286323 | 0.322113 | 0.706008 | 0.706008 | 0.698977 | 0.693865 | 0.613762 | 0.017469 | 0 | 0.420211 | 0.381972 | 12,137 | 232 | 63 | 52.314655 | 0.205573 | 0.003955 | 0 | 0.009615 | 0 | 0 | 0.105246 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
828951e6eef04a3ecaef6cbc4d4bb863129542f1 | 32,221 | py | Python | tests/processors/fulltext/processor_test.py | elifesciences/sciencebeam-parser | 66964f283612b8d6fa8a23ad8790292c1ec07651 | [
"MIT"
] | 13 | 2021-08-04T12:11:17.000Z | 2022-03-28T20:41:20.000Z | tests/processors/fulltext/processor_test.py | elifesciences/sciencebeam-parser | 66964f283612b8d6fa8a23ad8790292c1ec07651 | [
"MIT"
] | 33 | 2021-08-05T08:37:59.000Z | 2022-03-29T18:42:09.000Z | tests/processors/fulltext/processor_test.py | elifesciences/sciencebeam-parser | 66964f283612b8d6fa8a23ad8790292c1ec07651 | [
"MIT"
] | 1 | 2022-01-05T14:53:06.000Z | 2022-01-05T14:53:06.000Z | import logging
import os
import pytest
from sciencebeam_parser.document.layout_document import (
LayoutBlock,
LayoutDocument,
LayoutGraphic,
LayoutPage,
LayoutPageCoordinates
)
from sciencebeam_parser.document.semantic_document import (
SemanticAffiliationAddress,
SemanticAuthor,
SemanticCaption,
SemanticCountry,
SemanticEditor,
SemanticFigure,
SemanticFigureCitation,
SemanticGraphic,
SemanticInstitution,
SemanticInvalidReference,
SemanticLabel,
SemanticMarker,
SemanticRawReference,
SemanticRawReferenceText,
SemanticReference,
SemanticReferenceCitation,
SemanticReferenceList,
SemanticSectionTypes,
SemanticTable,
SemanticTableCitation,
SemanticTitle,
iter_by_semantic_type_recursively
)
from sciencebeam_parser.processors.fulltext.processor import (
FullTextProcessor,
FullTextProcessorConfig
)
from tests.processors.fulltext.model_mocks import MockFullTextModels
LOGGER = logging.getLogger(__name__)
@pytest.fixture(name='fulltext_models_mock')
def _fulltext_models() -> MockFullTextModels:
return MockFullTextModels()
class TestFullTextProcessor:
def test_should_not_fail_with_empty_document(
self, fulltext_models_mock: MockFullTextModels
):
fulltext_processor = FullTextProcessor(fulltext_models_mock)
layout_document = LayoutDocument(pages=[])
semantic_document = fulltext_processor.get_semantic_document_for_layout_document(
layout_document=layout_document
)
assert semantic_document is not None
def test_should_extract_from_document(
self, fulltext_models_mock: MockFullTextModels
):
fulltext_processor = FullTextProcessor(fulltext_models_mock)
header_block = LayoutBlock.for_text('This is the header')
body_block = LayoutBlock.for_text('This is the body')
acknowledgment_block = LayoutBlock.for_text('Some acknowledgement')
back_block = LayoutBlock.for_text('This is the back')
segmentation_model_mock = fulltext_models_mock.segmentation_model_mock
header_model_mock = fulltext_models_mock.header_model_mock
fulltext_model_mock = fulltext_models_mock.fulltext_model_mock
segmentation_model_mock.update_label_by_layout_block(
header_block, '<header>'
)
segmentation_model_mock.update_label_by_layout_block(
body_block, '<body>'
)
segmentation_model_mock.update_label_by_layout_block(
acknowledgment_block, '<acknowledgement>'
)
segmentation_model_mock.update_label_by_layout_block(
back_block, '<annex>'
)
header_model_mock.update_label_by_layout_block(
header_block, '<title>'
)
fulltext_model_mock.update_label_by_layout_block(
body_block, '<paragraph>'
)
fulltext_model_mock.update_label_by_layout_block(
acknowledgment_block, '<paragraph>'
)
fulltext_model_mock.update_label_by_layout_block(
back_block, '<paragraph>'
)
layout_document = LayoutDocument(pages=[LayoutPage(blocks=[
header_block,
body_block,
acknowledgment_block,
back_block
])])
semantic_document = fulltext_processor.get_semantic_document_for_layout_document(
layout_document=layout_document
)
assert semantic_document is not None
assert semantic_document.front.get_text() == header_block.text
assert semantic_document.front.get_text_by_type(SemanticTitle) == header_block.text
assert semantic_document.body_section.get_text() == body_block.text
assert semantic_document.back_section.view_by_section_type(
SemanticSectionTypes.OTHER
).get_text() == back_block.text
assert semantic_document.back_section.view_by_section_type(
SemanticSectionTypes.ACKNOWLEDGEMENT
).get_text() == acknowledgment_block.text
def test_should_extract_acknowledgement_only(
self, fulltext_models_mock: MockFullTextModels
):
fulltext_processor = FullTextProcessor(fulltext_models_mock)
acknowledgment_block = LayoutBlock.for_text('Some acknowledgement')
segmentation_model_mock = fulltext_models_mock.segmentation_model_mock
fulltext_model_mock = fulltext_models_mock.fulltext_model_mock
segmentation_model_mock.update_label_by_layout_block(
acknowledgment_block, '<acknowledgement>'
)
fulltext_model_mock.update_label_by_layout_block(
acknowledgment_block, '<paragraph>'
)
layout_document = LayoutDocument(pages=[LayoutPage(blocks=[
acknowledgment_block
])])
semantic_document = fulltext_processor.get_semantic_document_for_layout_document(
layout_document=layout_document
)
assert semantic_document is not None
assert semantic_document.back_section.view_by_section_type(
SemanticSectionTypes.ACKNOWLEDGEMENT
).get_text() == acknowledgment_block.text
def test_should_extract_author_names_from_document(
self, fulltext_models_mock: MockFullTextModels
):
given_name_block = LayoutBlock.for_text('Given name')
surname_block = LayoutBlock.for_text('Surname')
authors_block = LayoutBlock.merge_blocks([given_name_block, surname_block])
fulltext_processor = FullTextProcessor(fulltext_models_mock)
header_block = authors_block
segmentation_model_mock = fulltext_models_mock.segmentation_model_mock
header_model_mock = fulltext_models_mock.header_model_mock
name_header_model_mock = fulltext_models_mock.name_header_model_mock
segmentation_model_mock.update_label_by_layout_block(
header_block, '<header>'
)
header_model_mock.update_label_by_layout_block(
authors_block, '<author>'
)
name_header_model_mock.update_label_by_layout_block(
given_name_block, '<forename>'
)
name_header_model_mock.update_label_by_layout_block(
surname_block, '<surname>'
)
layout_document = LayoutDocument(pages=[LayoutPage(blocks=[
header_block
])])
semantic_document = fulltext_processor.get_semantic_document_for_layout_document(
layout_document=layout_document
)
assert semantic_document is not None
assert semantic_document.front.get_text() == authors_block.text
assert (
semantic_document.front
.view_by_type(SemanticAuthor).get_text()
) == authors_block.text
authors = semantic_document.front.authors
assert len(authors) == 1
assert authors[0].given_name_text == given_name_block.text
assert authors[0].surname_text == surname_block.text
def test_should_extract_author_names_separated_by_another_tag(
self, fulltext_models_mock: MockFullTextModels
):
given_name_block = LayoutBlock.for_text('Given name')
surname_block = LayoutBlock.for_text('Surname')
other_block = LayoutBlock.for_text('Other')
authors_block = LayoutBlock.merge_blocks([
given_name_block, other_block, surname_block
])
fulltext_processor = FullTextProcessor(
fulltext_models_mock,
config=FullTextProcessorConfig(merge_raw_authors=True)
)
header_block = authors_block
segmentation_model_mock = fulltext_models_mock.segmentation_model_mock
header_model_mock = fulltext_models_mock.header_model_mock
name_header_model_mock = fulltext_models_mock.name_header_model_mock
segmentation_model_mock.update_label_by_layout_block(
header_block, '<header>'
)
header_model_mock.update_label_by_layout_block(
given_name_block, '<author>'
)
header_model_mock.update_label_by_layout_block(
surname_block, '<author>'
)
name_header_model_mock.update_label_by_layout_block(
given_name_block, '<forename>'
)
name_header_model_mock.update_label_by_layout_block(
surname_block, '<surname>'
)
layout_document = LayoutDocument(pages=[LayoutPage(blocks=[
header_block
])])
semantic_document = fulltext_processor.get_semantic_document_for_layout_document(
layout_document=layout_document
)
assert semantic_document is not None
authors = semantic_document.front.authors
assert len(authors) == 1
assert authors[0].given_name_text == given_name_block.text
assert authors[0].surname_text == surname_block.text
def test_should_extract_affiliation_address_from_document( # pylint: disable=too-many-locals
self, fulltext_models_mock: MockFullTextModels
):
marker_block = LayoutBlock.for_text('1')
institution_block = LayoutBlock.for_text('Institution1')
country_block = LayoutBlock.for_text('Country1')
aff_block = LayoutBlock.merge_blocks([marker_block, institution_block])
address_block = LayoutBlock.merge_blocks([country_block])
aff_address_block = LayoutBlock.merge_blocks([aff_block, address_block])
fulltext_processor = FullTextProcessor(fulltext_models_mock)
header_block = aff_address_block
segmentation_model_mock = fulltext_models_mock.segmentation_model_mock
header_model_mock = fulltext_models_mock.header_model_mock
affiliation_address_model_mock = fulltext_models_mock.affiliation_address_model_mock
segmentation_model_mock.update_label_by_layout_block(
header_block, '<header>'
)
header_model_mock.update_label_by_layout_block(
aff_block, '<affiliation>'
)
header_model_mock.update_label_by_layout_block(
address_block, '<address>'
)
affiliation_address_model_mock.update_label_by_layout_block(
marker_block, '<marker>'
)
affiliation_address_model_mock.update_label_by_layout_block(
institution_block, '<institution>'
)
affiliation_address_model_mock.update_label_by_layout_block(
country_block, '<country>'
)
layout_document = LayoutDocument(pages=[LayoutPage(blocks=[
header_block
])])
semantic_document = fulltext_processor.get_semantic_document_for_layout_document(
layout_document=layout_document
)
assert semantic_document is not None
assert semantic_document.front.get_text() == aff_address_block.text
assert (
semantic_document.front
.view_by_type(SemanticAffiliationAddress).get_text()
) == aff_address_block.text
affiliations = list(semantic_document.front.iter_by_type(SemanticAffiliationAddress))
assert len(affiliations) == 1
assert affiliations[0].get_text_by_type(SemanticMarker) == marker_block.text
assert affiliations[0].get_text_by_type(SemanticInstitution) == institution_block.text
assert affiliations[0].get_text_by_type(SemanticCountry) == country_block.text
assert affiliations[0].content_id == 'aff0'
def test_should_not_merge_separate_raw_affiliations( # pylint: disable=too-many-locals
self, fulltext_models_mock: MockFullTextModels
):
aff_suffix_texts = ['1', '2']
institution_blocks = [
LayoutBlock.for_text(f'Institution{t}')
for t in aff_suffix_texts
]
aff_blocks = institution_blocks
aff_address_blocks = aff_blocks
fulltext_processor = FullTextProcessor(fulltext_models_mock)
header_block = LayoutBlock.merge_blocks(aff_address_blocks)
segmentation_model_mock = fulltext_models_mock.segmentation_model_mock
header_model_mock = fulltext_models_mock.header_model_mock
affiliation_address_model_mock = fulltext_models_mock.affiliation_address_model_mock
segmentation_model_mock.update_label_by_layout_block(
header_block, '<header>'
)
for aff_block in aff_blocks:
header_model_mock.update_label_by_layout_block(
aff_block, '<affiliation>'
)
for institution_block in institution_blocks:
affiliation_address_model_mock.update_label_by_layout_block(
institution_block, '<institution>'
)
layout_document = LayoutDocument(pages=[LayoutPage(blocks=[
header_block
])])
semantic_document = fulltext_processor.get_semantic_document_for_layout_document(
layout_document=layout_document
)
assert semantic_document is not None
affiliations = list(semantic_document.front.iter_by_type(SemanticAffiliationAddress))
LOGGER.debug('affiliations: %r', affiliations)
assert (
[aff.get_text() for aff in affiliations]
== [aff_block.text for aff_block in aff_blocks]
)
assert (
[aff.content_id for aff in affiliations]
== ['aff0', 'aff1']
)
def test_should_extract_raw_references_from_document( # pylint: disable=too-many-locals
self, fulltext_models_mock: MockFullTextModels
):
label_block = LayoutBlock.for_text('1')
ref_text_block = LayoutBlock.for_text('Reference 1')
ref_block = LayoutBlock.merge_blocks([label_block, ref_text_block])
fulltext_processor = FullTextProcessor(
fulltext_models_mock,
FullTextProcessorConfig(extract_citation_fields=False)
)
segmentation_model_mock = fulltext_models_mock.segmentation_model_mock
reference_segmenter_model_mock = fulltext_models_mock.reference_segmenter_model_mock
segmentation_model_mock.update_label_by_layout_block(
ref_block, '<references>'
)
reference_segmenter_model_mock.update_label_by_layout_block(
label_block, '<label>'
)
reference_segmenter_model_mock.update_label_by_layout_block(
ref_text_block, '<reference>'
)
layout_document = LayoutDocument(pages=[LayoutPage(blocks=[
ref_block
])])
semantic_document = fulltext_processor.get_semantic_document_for_layout_document(
layout_document=layout_document
)
LOGGER.debug('semantic_document: %s', semantic_document)
assert semantic_document is not None
assert semantic_document.back_section.get_text() == ref_block.text
reference_list = list(semantic_document.back_section.iter_by_type(SemanticReferenceList))
assert len(reference_list) == 1
references = list(reference_list[0].iter_by_type(SemanticRawReference))
assert len(references) == 1
ref = references[0]
assert ref.get_text_by_type(SemanticLabel) == label_block.text
assert ref.get_text_by_type(SemanticRawReferenceText) == ref_text_block.text
assert ref.content_id == 'b0'
def test_should_extract_references_fields_from_document( # pylint: disable=too-many-locals
self, fulltext_models_mock: MockFullTextModels
):
other_body = LayoutBlock.for_text('the body')
citation_block = LayoutBlock.for_text('1')
body_block = LayoutBlock.merge_blocks([other_body, citation_block])
label_block = LayoutBlock.for_text('1')
ref_title_block = LayoutBlock.for_text('Reference Title 1')
ref_text_block = LayoutBlock.merge_blocks([
ref_title_block
])
ref_block = LayoutBlock.merge_blocks([label_block, ref_text_block])
fulltext_processor = FullTextProcessor(
fulltext_models_mock,
FullTextProcessorConfig(extract_citation_fields=True)
)
segmentation_model_mock = fulltext_models_mock.segmentation_model_mock
fulltext_model_mock = fulltext_models_mock.fulltext_model_mock
reference_segmenter_model_mock = fulltext_models_mock.reference_segmenter_model_mock
citation_model_mock = fulltext_models_mock.citation_model_mock
segmentation_model_mock.update_label_by_layout_block(
body_block, '<body>'
)
segmentation_model_mock.update_label_by_layout_block(
ref_block, '<references>'
)
fulltext_model_mock.update_label_by_layout_block(
other_body, '<section>'
)
fulltext_model_mock.update_label_by_layout_block(
citation_block, '<citation_marker>'
)
reference_segmenter_model_mock.update_label_by_layout_block(
label_block, '<label>'
)
reference_segmenter_model_mock.update_label_by_layout_block(
ref_text_block, '<reference>'
)
citation_model_mock.update_label_by_layout_block(
ref_title_block, '<title>'
)
layout_document = LayoutDocument(pages=[LayoutPage(blocks=[
body_block,
ref_block
])])
semantic_document = fulltext_processor.get_semantic_document_for_layout_document(
layout_document=layout_document
)
LOGGER.debug('semantic_document: %s', semantic_document)
assert semantic_document is not None
reference_list = list(semantic_document.back_section.iter_by_type(SemanticReferenceList))
assert len(reference_list) == 1
references = list(reference_list[0].iter_by_type(SemanticReference))
assert len(references) == 1
ref = references[0]
assert ref.get_text_by_type(SemanticTitle) == ref_title_block.text
assert ref.get_text_by_type(SemanticLabel) == label_block.text
assert ref.get_text_by_type(SemanticRawReferenceText) == ref_text_block.text
assert ref.content_id == 'b0'
ref_citations = list(
semantic_document.iter_by_type_recursively(SemanticReferenceCitation)
)
assert len(ref_citations) == 1
assert ref_citations[0].target_content_id == 'b0'
def test_should_extract_invalid_reference_from_document( # pylint: disable=too-many-locals
self, fulltext_models_mock: MockFullTextModels
):
other_body = LayoutBlock.for_text('the body')
citation_block = LayoutBlock.for_text('1')
body_block = LayoutBlock.merge_blocks([other_body, citation_block])
invalid_reference_block = LayoutBlock.for_text('This is an invalid reference 1')
ref_text_block = invalid_reference_block
ref_block = ref_text_block
fulltext_processor = FullTextProcessor(
fulltext_models_mock,
FullTextProcessorConfig(extract_citation_fields=True)
)
segmentation_model_mock = fulltext_models_mock.segmentation_model_mock
fulltext_model_mock = fulltext_models_mock.fulltext_model_mock
reference_segmenter_model_mock = fulltext_models_mock.reference_segmenter_model_mock
citation_model_mock = fulltext_models_mock.citation_model_mock
segmentation_model_mock.update_label_by_layout_block(
body_block, '<body>'
)
segmentation_model_mock.update_label_by_layout_block(
ref_block, '<references>'
)
fulltext_model_mock.update_label_by_layout_block(
other_body, '<section>'
)
fulltext_model_mock.update_label_by_layout_block(
citation_block, '<citation_marker>'
)
reference_segmenter_model_mock.update_label_by_layout_block(
ref_text_block, '<reference>'
)
citation_model_mock.update_label_by_layout_block(
invalid_reference_block, 'O'
)
layout_document = LayoutDocument(pages=[LayoutPage(blocks=[
body_block,
ref_block
])])
semantic_document = fulltext_processor.get_semantic_document_for_layout_document(
layout_document=layout_document
)
LOGGER.debug('semantic_document: %s', semantic_document)
assert semantic_document is not None
reference_list = list(semantic_document.back_section.iter_by_type(SemanticReferenceList))
assert len(reference_list) == 1
references = list(reference_list[0].iter_by_type(SemanticInvalidReference))
assert len(references) == 1
assert references[0].get_text() == invalid_reference_block.text
def test_should_extract_author_names_from_references_fields( # pylint: disable=too-many-locals
self, fulltext_models_mock: MockFullTextModels
):
given_name_block = LayoutBlock.for_text('Given name')
surname_block = LayoutBlock.for_text('Surname')
other_block = LayoutBlock.for_text('Other')
authors_block = LayoutBlock.merge_blocks([
given_name_block, other_block, surname_block
])
ref_text_block = LayoutBlock.merge_blocks([
authors_block
])
ref_block = LayoutBlock.merge_blocks([ref_text_block])
fulltext_processor = FullTextProcessor(
fulltext_models_mock,
FullTextProcessorConfig(extract_citation_fields=True)
)
segmentation_model_mock = fulltext_models_mock.segmentation_model_mock
reference_segmenter_model_mock = fulltext_models_mock.reference_segmenter_model_mock
citation_model_mock = fulltext_models_mock.citation_model_mock
name_citation_model_mock = fulltext_models_mock.name_citation_model_mock
segmentation_model_mock.update_label_by_layout_block(
ref_block, '<references>'
)
reference_segmenter_model_mock.update_label_by_layout_block(
ref_text_block, '<reference>'
)
citation_model_mock.update_label_by_layout_block(
authors_block, '<author>'
)
name_citation_model_mock.update_label_by_layout_block(
given_name_block, '<forename>'
)
name_citation_model_mock.update_label_by_layout_block(
surname_block, '<surname>'
)
layout_document = LayoutDocument(pages=[LayoutPage(blocks=[
ref_block
])])
semantic_document = fulltext_processor.get_semantic_document_for_layout_document(
layout_document=layout_document
)
LOGGER.debug('semantic_document: %s', semantic_document)
assert semantic_document is not None
reference_list = list(semantic_document.back_section.iter_by_type(SemanticReferenceList))
assert len(reference_list) == 1
references = list(reference_list[0].iter_by_type(SemanticReference))
assert len(references) == 1
ref = references[0]
authors = list(ref.iter_by_type(SemanticAuthor))
assert len(authors) == 1
assert authors[0].given_name_text == given_name_block.text
assert authors[0].surname_text == surname_block.text
def test_should_extract_editor_names_from_references_fields( # pylint: disable=too-many-locals
self, fulltext_models_mock: MockFullTextModels
):
given_name_block = LayoutBlock.for_text('Given name')
surname_block = LayoutBlock.for_text('Surname')
other_block = LayoutBlock.for_text('Other')
editors_block = LayoutBlock.merge_blocks([
given_name_block, other_block, surname_block
])
ref_text_block = LayoutBlock.merge_blocks([
editors_block
])
ref_block = LayoutBlock.merge_blocks([ref_text_block])
fulltext_processor = FullTextProcessor(
fulltext_models_mock,
FullTextProcessorConfig(
extract_citation_fields=True,
extract_citation_authors=False,
extract_citation_editors=True
)
)
segmentation_model_mock = fulltext_models_mock.segmentation_model_mock
reference_segmenter_model_mock = fulltext_models_mock.reference_segmenter_model_mock
citation_model_mock = fulltext_models_mock.citation_model_mock
name_citation_model_mock = fulltext_models_mock.name_citation_model_mock
segmentation_model_mock.update_label_by_layout_block(
ref_block, '<references>'
)
reference_segmenter_model_mock.update_label_by_layout_block(
ref_text_block, '<reference>'
)
citation_model_mock.update_label_by_layout_block(
editors_block, '<editor>'
)
name_citation_model_mock.update_label_by_layout_block(
given_name_block, '<forename>'
)
name_citation_model_mock.update_label_by_layout_block(
surname_block, '<surname>'
)
layout_document = LayoutDocument(pages=[LayoutPage(blocks=[
ref_block
])])
semantic_document = fulltext_processor.get_semantic_document_for_layout_document(
layout_document=layout_document
)
LOGGER.debug('semantic_document: %s', semantic_document)
assert semantic_document is not None
reference_list = list(semantic_document.back_section.iter_by_type(SemanticReferenceList))
assert len(reference_list) == 1
references = list(reference_list[0].iter_by_type(SemanticReference))
assert len(references) == 1
ref = references[0]
editors = list(ref.iter_by_type(SemanticEditor))
assert len(editors) == 1
assert editors[0].given_name_text == given_name_block.text
assert editors[0].surname_text == surname_block.text
@pytest.mark.parametrize(
'segmentation_label',
['<body>', '<annex>']
)
def test_should_extract_figure_label_caption_from_body( # pylint: disable=too-many-locals
self, fulltext_models_mock: MockFullTextModels,
segmentation_label: str
):
citation_block = LayoutBlock.for_text('Figure 1')
_coordinates = LayoutPageCoordinates(x=10, y=10, width=100, height=10)
graphic_local_file_path = '/path/to/graphic1.svg'
graphic = LayoutGraphic(
coordinates=_coordinates,
local_file_path=graphic_local_file_path
)
_coordinates = _coordinates.move_by(dy=10)
label_block = LayoutBlock.for_text('Figure 1', coordinates=_coordinates)
_coordinates = _coordinates.move_by(dy=10)
caption_block = LayoutBlock.for_text('Caption 1', coordinates=_coordinates)
other_block = LayoutBlock.for_text('Other')
figure_block = LayoutBlock.merge_blocks([
label_block, other_block, caption_block
])
fulltext_block = LayoutBlock.merge_blocks([citation_block, figure_block])
fulltext_processor = FullTextProcessor(
fulltext_models_mock,
FullTextProcessorConfig(
extract_figure_fields=True,
extract_graphic_bounding_boxes=True,
extract_graphic_assets=True
)
)
segmentation_model_mock = fulltext_models_mock.segmentation_model_mock
fulltext_model_mock = fulltext_models_mock.fulltext_model_mock
figure_model_mock = fulltext_models_mock.figure_model_mock
segmentation_model_mock.update_label_by_layout_block(
fulltext_block, segmentation_label
)
fulltext_model_mock.update_label_by_layout_block(
citation_block, '<figure_marker>'
)
fulltext_model_mock.update_label_by_layout_block(
figure_block, '<figure>'
)
figure_model_mock.update_label_by_layout_block(
label_block, '<label>'
)
figure_model_mock.update_label_by_layout_block(
caption_block, '<figDesc>'
)
layout_document = LayoutDocument(pages=[LayoutPage(
blocks=[fulltext_block],
graphics=[graphic]
)])
semantic_document = fulltext_processor.get_semantic_document_for_layout_document(
layout_document=layout_document
)
LOGGER.debug('semantic_document: %s', semantic_document)
assert semantic_document is not None
figure_list = list(iter_by_semantic_type_recursively(
[semantic_document.body_section, semantic_document.back_section],
SemanticFigure
))
assert len(figure_list) == 1
figure = figure_list[0]
assert figure.get_text_by_type(SemanticLabel) == label_block.text
assert figure.get_text_by_type(SemanticCaption) == caption_block.text
assert figure.content_id == 'fig_0'
figure_citation_list = list(
semantic_document.iter_by_type_recursively(SemanticFigureCitation)
)
assert len(figure_citation_list) == 1
assert figure_citation_list[0].get_text() == citation_block.text
assert figure_citation_list[0].target_content_id == 'fig_0'
semantic_graphic_list = list(figure.iter_by_type(SemanticGraphic))
assert semantic_graphic_list
assert semantic_graphic_list[0].layout_graphic == graphic
assert semantic_graphic_list[0].relative_path == os.path.basename(
graphic_local_file_path
)
@pytest.mark.parametrize(
'segmentation_label',
['<body>', '<annex>']
)
def test_should_extract_table_label_caption_from_body( # pylint: disable=too-many-locals
self, fulltext_models_mock: MockFullTextModels,
segmentation_label: str
):
citation_block = LayoutBlock.for_text('Table 1')
label_block = LayoutBlock.for_text('Table 1')
caption_block = LayoutBlock.for_text('Caption 1')
other_block = LayoutBlock.for_text('Other')
figure_block = LayoutBlock.merge_blocks([
label_block, other_block, caption_block
])
fulltext_block = LayoutBlock.merge_blocks([citation_block, figure_block])
fulltext_processor = FullTextProcessor(
fulltext_models_mock,
FullTextProcessorConfig(extract_table_fields=True)
)
segmentation_model_mock = fulltext_models_mock.segmentation_model_mock
fulltext_model_mock = fulltext_models_mock.fulltext_model_mock
table_model_mock = fulltext_models_mock.table_model_mock
segmentation_model_mock.update_label_by_layout_block(
fulltext_block, segmentation_label
)
fulltext_model_mock.update_label_by_layout_block(
citation_block, '<table_marker>'
)
fulltext_model_mock.update_label_by_layout_block(
figure_block, '<table>'
)
table_model_mock.update_label_by_layout_block(
label_block, '<label>'
)
table_model_mock.update_label_by_layout_block(
caption_block, '<figDesc>'
)
layout_document = LayoutDocument(pages=[LayoutPage(blocks=[
fulltext_block
])])
semantic_document = fulltext_processor.get_semantic_document_for_layout_document(
layout_document=layout_document
)
LOGGER.debug('semantic_document: %s', semantic_document)
assert semantic_document is not None
table_list = list(iter_by_semantic_type_recursively(
[semantic_document.body_section, semantic_document.back_section],
SemanticTable
))
assert len(table_list) == 1
table = table_list[0]
assert table.get_text_by_type(SemanticLabel) == label_block.text
assert table.get_text_by_type(SemanticCaption) == caption_block.text
assert table.content_id == 'tab_0'
table_citation_list = list(
semantic_document.iter_by_type_recursively(SemanticTableCitation)
)
assert len(table_citation_list) == 1
assert table_citation_list[0].get_text() == citation_block.text
assert table_citation_list[0].target_content_id == 'tab_0'
| 40.478643 | 99 | 0.695354 | 3,425 | 32,221 | 6.061022 | 0.054307 | 0.063298 | 0.060697 | 0.06166 | 0.843056 | 0.819741 | 0.798015 | 0.772629 | 0.759574 | 0.696421 | 0 | 0.003782 | 0.23674 | 32,221 | 795 | 100 | 40.52956 | 0.84032 | 0.008907 | 0 | 0.579915 | 0 | 0 | 0.039437 | 0.000658 | 0 | 0 | 0 | 0 | 0.114569 | 1 | 0.021216 | false | 0 | 0.009901 | 0.001414 | 0.033946 | 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 |
82a230e1215e7f471cedb03791dfe345af24d6c5 | 70 | py | Python | contacts/views/__init__.py | I-TECH-UW/mwachx | e191755c3369208d678fceec68dbb4f5f51c453a | [
"Apache-2.0"
] | 3 | 2015-05-27T14:35:49.000Z | 2016-02-26T21:04:32.000Z | contacts/views/__init__.py | tperrier/mwachx | 94616659dc29843e661b2ecc9a2e7f1d4e81b5a4 | [
"Apache-2.0"
] | 375 | 2015-01-31T10:08:34.000Z | 2021-06-10T19:44:21.000Z | contacts/views/__init__.py | I-TECH-UW/mwachx | e191755c3369208d678fceec68dbb4f5f51c453a | [
"Apache-2.0"
] | 6 | 2016-01-10T19:52:41.000Z | 2020-06-15T22:07:24.000Z | from misc import *
from ajax import *
from old import *
import crispy
| 14 | 18 | 0.757143 | 11 | 70 | 4.818182 | 0.545455 | 0.377358 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.2 | 70 | 4 | 19 | 17.5 | 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 |
82ad0c77e7d54457489ccd5eb74e8aa30fb57db6 | 62 | py | Python | meiduo_mall/meiduo_mall/__init__.py | 0-pangda/meiduo_project1 | 69d771d9c5b67c01510ecfabe4c28989e44d0fba | [
"MIT"
] | null | null | null | meiduo_mall/meiduo_mall/__init__.py | 0-pangda/meiduo_project1 | 69d771d9c5b67c01510ecfabe4c28989e44d0fba | [
"MIT"
] | null | null | null | meiduo_mall/meiduo_mall/__init__.py | 0-pangda/meiduo_project1 | 69d771d9c5b67c01510ecfabe4c28989e44d0fba | [
"MIT"
] | null | null | null | from pymysql import install_as_MySQLdb
install_as_MySQLdb()
| 12.4 | 38 | 0.854839 | 9 | 62 | 5.444444 | 0.666667 | 0.367347 | 0.653061 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.112903 | 62 | 4 | 39 | 15.5 | 0.890909 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 1 | 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 |
82ad0c7e498884f8ed0905093efb434b0822cbe7 | 123 | py | Python | ports/esp32/boards/UM_FEATHERS2/manifest.py | rxchen/micropython | 037b2c72a1d5b54a5508a58ab2044628a7a39fa4 | [
"MIT"
] | 13,648 | 2015-01-01T01:34:51.000Z | 2022-03-31T16:19:53.000Z | ports/esp32/boards/UM_FEATHERS2/manifest.py | rxchen/micropython | 037b2c72a1d5b54a5508a58ab2044628a7a39fa4 | [
"MIT"
] | 7,092 | 2015-01-01T07:59:11.000Z | 2022-03-31T23:52:18.000Z | ports/esp32/boards/UM_FEATHERS2/manifest.py | rxchen/micropython | 037b2c72a1d5b54a5508a58ab2044628a7a39fa4 | [
"MIT"
] | 4,942 | 2015-01-02T11:48:50.000Z | 2022-03-31T19:57:10.000Z | include("$(PORT_DIR)/boards/manifest.py")
freeze("$(PORT_DIR)/boards/UM_TINYPICO/modules", "dotstar.py")
freeze("modules")
| 30.75 | 62 | 0.739837 | 17 | 123 | 5.176471 | 0.647059 | 0.159091 | 0.295455 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.03252 | 123 | 3 | 63 | 41 | 0.739496 | 0 | 0 | 0 | 0 | 0 | 0.691057 | 0.552846 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 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 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
7d63dc7234c7f46df11ecf39613e12184aec4e8d | 239 | py | Python | jupyterlab_nbconvert_nocode/nbconvert_functions/hideinput/utils.py | vidartf/jupyterlab_nbconvert_nocode | c7b43f2df4a85415b923d3a87d95e5eb11ae437a | [
"Apache-2.0"
] | 1 | 2021-05-17T06:39:13.000Z | 2021-05-17T06:39:13.000Z | jupyterlab_nbconvert_nocode/nbconvert_functions/hideinput/utils.py | vidartf/jupyterlab_nbconvert_nocode | c7b43f2df4a85415b923d3a87d95e5eb11ae437a | [
"Apache-2.0"
] | null | null | null | jupyterlab_nbconvert_nocode/nbconvert_functions/hideinput/utils.py | vidartf/jupyterlab_nbconvert_nocode | c7b43f2df4a85415b923d3a87d95e5eb11ae437a | [
"Apache-2.0"
] | 1 | 2020-01-25T00:24:25.000Z | 2020-01-25T00:24:25.000Z |
ENV_VARS = {'publish': 'LANTERN_PUBLISH_TEMPLATE',
'export_pdf': 'LANTERN_EXPORT_PDF_TEMPLATE',
'export_html': 'LANTERN_EXPORT_HTML_TEMPLATE',
'export_html_email': 'LANTERN_EXPORT_HTML_EMAIL_TEMPLATE'}
| 39.833333 | 70 | 0.694561 | 26 | 239 | 5.730769 | 0.346154 | 0.268456 | 0.241611 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.196653 | 239 | 5 | 71 | 47.8 | 0.776042 | 0 | 0 | 0 | 0 | 0 | 0.663866 | 0.47479 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 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 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
7d9483d69ca7b1166c57f0e257cfcad8125e929a | 143,691 | py | Python | sdk/python/pulumi_azure/media/_inputs.py | ScriptBox99/pulumi-azure | 1b8c6d5479ccabc39094741eac25a8ca44c8833a | [
"ECL-2.0",
"Apache-2.0"
] | 109 | 2018-06-18T00:19:44.000Z | 2022-02-20T05:32:57.000Z | sdk/python/pulumi_azure/media/_inputs.py | ScriptBox99/pulumi-azure | 1b8c6d5479ccabc39094741eac25a8ca44c8833a | [
"ECL-2.0",
"Apache-2.0"
] | 663 | 2018-06-18T21:08:46.000Z | 2022-03-31T20:10:11.000Z | sdk/python/pulumi_azure/media/_inputs.py | ScriptBox99/pulumi-azure | 1b8c6d5479ccabc39094741eac25a8ca44c8833a | [
"ECL-2.0",
"Apache-2.0"
] | 41 | 2018-07-19T22:37:38.000Z | 2022-03-14T10:56:26.000Z | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
__all__ = [
'AssetFilterPresentationTimeRangeArgs',
'AssetFilterTrackSelectionArgs',
'AssetFilterTrackSelectionConditionArgs',
'ContentKeyPolicyPolicyOptionArgs',
'ContentKeyPolicyPolicyOptionFairplayConfigurationArgs',
'ContentKeyPolicyPolicyOptionFairplayConfigurationOfflineRentalConfigurationArgs',
'ContentKeyPolicyPolicyOptionPlayreadyConfigurationLicenseArgs',
'ContentKeyPolicyPolicyOptionPlayreadyConfigurationLicensePlayRightArgs',
'ContentKeyPolicyPolicyOptionTokenRestrictionArgs',
'ContentKeyPolicyPolicyOptionTokenRestrictionRequiredClaimArgs',
'JobInputAssetArgs',
'JobOutputAssetArgs',
'LiveEventCrossSiteAccessPolicyArgs',
'LiveEventEncodingArgs',
'LiveEventInputArgs',
'LiveEventInputEndpointArgs',
'LiveEventInputIpAccessControlAllowArgs',
'LiveEventPreviewArgs',
'LiveEventPreviewEndpointArgs',
'LiveEventPreviewIpAccessControlAllowArgs',
'ServiceAccountIdentityArgs',
'ServiceAccountKeyDeliveryAccessControlArgs',
'ServiceAccountStorageAccountArgs',
'StreamingEndpointAccessControlArgs',
'StreamingEndpointAccessControlAkamaiSignatureHeaderAuthenticationKeyArgs',
'StreamingEndpointAccessControlIpAllowArgs',
'StreamingEndpointCrossSiteAccessPolicyArgs',
'StreamingLocatorContentKeyArgs',
'StreamingPolicyCommonEncryptionCbcsArgs',
'StreamingPolicyCommonEncryptionCbcsDefaultContentKeyArgs',
'StreamingPolicyCommonEncryptionCbcsDrmFairplayArgs',
'StreamingPolicyCommonEncryptionCbcsEnabledProtocolsArgs',
'StreamingPolicyCommonEncryptionCencArgs',
'StreamingPolicyCommonEncryptionCencDefaultContentKeyArgs',
'StreamingPolicyCommonEncryptionCencDrmPlayreadyArgs',
'StreamingPolicyCommonEncryptionCencEnabledProtocolsArgs',
'StreamingPolicyNoEncryptionEnabledProtocolsArgs',
'TransformOutputArgs',
'TransformOutputAudioAnalyzerPresetArgs',
'TransformOutputBuiltinPresetArgs',
'TransformOutputFaceDetectorPresetArgs',
'TransformOutputVideoAnalyzerPresetArgs',
]
@pulumi.input_type
class AssetFilterPresentationTimeRangeArgs:
def __init__(__self__, *,
end_in_units: Optional[pulumi.Input[int]] = None,
force_end: Optional[pulumi.Input[bool]] = None,
live_backoff_in_units: Optional[pulumi.Input[int]] = None,
presentation_window_in_units: Optional[pulumi.Input[int]] = None,
start_in_units: Optional[pulumi.Input[int]] = None,
unit_timescale_in_miliseconds: Optional[pulumi.Input[int]] = None):
"""
:param pulumi.Input[int] end_in_units: The absolute end time boundary. Applies to Video on Demand (VoD).
For the Live Streaming presentation, it is silently ignored and applied when the presentation ends and the stream becomes VoD. This is a long value that represents an absolute end point of the presentation, rounded to the closest next GOP start. The unit is defined by `unit_timescale_in_miliseconds`, so an `end_in_units` of 180 would be for 3 minutes. Use `start_in_units` and `end_in_units` to trim the fragments that will be in the playlist (manifest). For example, `start_in_units` set to 20 and `end_in_units` set to 60 using `unit_timescale_in_miliseconds` in 1000 will generate a playlist that contains fragments from between 20 seconds and 60 seconds of the VoD presentation. If a fragment straddles the boundary, the entire fragment will be included in the manifest.
:param pulumi.Input[bool] force_end: Indicates whether the `end_in_units` property must be present. If true, `end_in_units` must be specified or a bad request code is returned. Applies to Live Streaming only. Allowed values: false, true.
:param pulumi.Input[int] live_backoff_in_units: The relative to end right edge. Applies to Live Streaming only.
This value defines the latest live position that a client can seek to. Using this property, you can delay live playback position and create a server-side buffer for players. The unit is defined by `unit_timescale_in_miliseconds`. The maximum live back off duration is 300 seconds. For example, a value of 20 means that the latest available content is 20 seconds delayed from the real live edge.
:param pulumi.Input[int] presentation_window_in_units: The relative to end sliding window. Applies to Live Streaming only. Use `presentation_window_in_units` to apply a sliding window of fragments to include in a playlist. The unit is defined by `unit_timescale_in_miliseconds`. For example, set `presentation_window_in_units` to 120 to apply a two-minute sliding window. Media within 2 minutes of the live edge will be included in the playlist. If a fragment straddles the boundary, the entire fragment will be included in the playlist. The minimum presentation window duration is 60 seconds.
:param pulumi.Input[int] start_in_units: The absolute start time boundary. Applies to Video on Demand (VoD) or Live Streaming. This is a long value that represents an absolute start point of the stream. The value gets rounded to the closest next GOP start. The unit is defined by `unit_timescale_in_miliseconds`, so a `start_in_units` of 15 would be for 15 seconds. Use `start_in_units` and `end_in_units` to trim the fragments that will be in the playlist (manifest). For example, `start_in_units` set to 20 and `end_in_units` set to 60 using `unit_timescale_in_miliseconds` in 1000 will generate a playlist that contains fragments from between 20 seconds and 60 seconds of the VoD presentation. If a fragment straddles the boundary, the entire fragment will be included in the manifest.
:param pulumi.Input[int] unit_timescale_in_miliseconds: Specified as the number of miliseconds in one unit timescale. For example, if you want to set a `start_in_units` at 30 seconds, you would use a value of 30 when using the `unit_timescale_in_miliseconds` in 1000. Or if you want to set `start_in_units` in 30 miliseconds, you would use a value of 30 when using the `unit_timescale_in_miliseconds` in 1. Applies timescale to `start_in_units`, `start_timescale` and `presentation_window_in_timescale` and `live_backoff_in_timescale`.
"""
if end_in_units is not None:
pulumi.set(__self__, "end_in_units", end_in_units)
if force_end is not None:
pulumi.set(__self__, "force_end", force_end)
if live_backoff_in_units is not None:
pulumi.set(__self__, "live_backoff_in_units", live_backoff_in_units)
if presentation_window_in_units is not None:
pulumi.set(__self__, "presentation_window_in_units", presentation_window_in_units)
if start_in_units is not None:
pulumi.set(__self__, "start_in_units", start_in_units)
if unit_timescale_in_miliseconds is not None:
pulumi.set(__self__, "unit_timescale_in_miliseconds", unit_timescale_in_miliseconds)
@property
@pulumi.getter(name="endInUnits")
def end_in_units(self) -> Optional[pulumi.Input[int]]:
"""
The absolute end time boundary. Applies to Video on Demand (VoD).
For the Live Streaming presentation, it is silently ignored and applied when the presentation ends and the stream becomes VoD. This is a long value that represents an absolute end point of the presentation, rounded to the closest next GOP start. The unit is defined by `unit_timescale_in_miliseconds`, so an `end_in_units` of 180 would be for 3 minutes. Use `start_in_units` and `end_in_units` to trim the fragments that will be in the playlist (manifest). For example, `start_in_units` set to 20 and `end_in_units` set to 60 using `unit_timescale_in_miliseconds` in 1000 will generate a playlist that contains fragments from between 20 seconds and 60 seconds of the VoD presentation. If a fragment straddles the boundary, the entire fragment will be included in the manifest.
"""
return pulumi.get(self, "end_in_units")
@end_in_units.setter
def end_in_units(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "end_in_units", value)
@property
@pulumi.getter(name="forceEnd")
def force_end(self) -> Optional[pulumi.Input[bool]]:
"""
Indicates whether the `end_in_units` property must be present. If true, `end_in_units` must be specified or a bad request code is returned. Applies to Live Streaming only. Allowed values: false, true.
"""
return pulumi.get(self, "force_end")
@force_end.setter
def force_end(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "force_end", value)
@property
@pulumi.getter(name="liveBackoffInUnits")
def live_backoff_in_units(self) -> Optional[pulumi.Input[int]]:
"""
The relative to end right edge. Applies to Live Streaming only.
This value defines the latest live position that a client can seek to. Using this property, you can delay live playback position and create a server-side buffer for players. The unit is defined by `unit_timescale_in_miliseconds`. The maximum live back off duration is 300 seconds. For example, a value of 20 means that the latest available content is 20 seconds delayed from the real live edge.
"""
return pulumi.get(self, "live_backoff_in_units")
@live_backoff_in_units.setter
def live_backoff_in_units(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "live_backoff_in_units", value)
@property
@pulumi.getter(name="presentationWindowInUnits")
def presentation_window_in_units(self) -> Optional[pulumi.Input[int]]:
"""
The relative to end sliding window. Applies to Live Streaming only. Use `presentation_window_in_units` to apply a sliding window of fragments to include in a playlist. The unit is defined by `unit_timescale_in_miliseconds`. For example, set `presentation_window_in_units` to 120 to apply a two-minute sliding window. Media within 2 minutes of the live edge will be included in the playlist. If a fragment straddles the boundary, the entire fragment will be included in the playlist. The minimum presentation window duration is 60 seconds.
"""
return pulumi.get(self, "presentation_window_in_units")
@presentation_window_in_units.setter
def presentation_window_in_units(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "presentation_window_in_units", value)
@property
@pulumi.getter(name="startInUnits")
def start_in_units(self) -> Optional[pulumi.Input[int]]:
"""
The absolute start time boundary. Applies to Video on Demand (VoD) or Live Streaming. This is a long value that represents an absolute start point of the stream. The value gets rounded to the closest next GOP start. The unit is defined by `unit_timescale_in_miliseconds`, so a `start_in_units` of 15 would be for 15 seconds. Use `start_in_units` and `end_in_units` to trim the fragments that will be in the playlist (manifest). For example, `start_in_units` set to 20 and `end_in_units` set to 60 using `unit_timescale_in_miliseconds` in 1000 will generate a playlist that contains fragments from between 20 seconds and 60 seconds of the VoD presentation. If a fragment straddles the boundary, the entire fragment will be included in the manifest.
"""
return pulumi.get(self, "start_in_units")
@start_in_units.setter
def start_in_units(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "start_in_units", value)
@property
@pulumi.getter(name="unitTimescaleInMiliseconds")
def unit_timescale_in_miliseconds(self) -> Optional[pulumi.Input[int]]:
"""
Specified as the number of miliseconds in one unit timescale. For example, if you want to set a `start_in_units` at 30 seconds, you would use a value of 30 when using the `unit_timescale_in_miliseconds` in 1000. Or if you want to set `start_in_units` in 30 miliseconds, you would use a value of 30 when using the `unit_timescale_in_miliseconds` in 1. Applies timescale to `start_in_units`, `start_timescale` and `presentation_window_in_timescale` and `live_backoff_in_timescale`.
"""
return pulumi.get(self, "unit_timescale_in_miliseconds")
@unit_timescale_in_miliseconds.setter
def unit_timescale_in_miliseconds(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "unit_timescale_in_miliseconds", value)
@pulumi.input_type
class AssetFilterTrackSelectionArgs:
def __init__(__self__, *,
conditions: pulumi.Input[Sequence[pulumi.Input['AssetFilterTrackSelectionConditionArgs']]]):
"""
:param pulumi.Input[Sequence[pulumi.Input['AssetFilterTrackSelectionConditionArgs']]] conditions: One or more `condition` blocks as defined above.
"""
pulumi.set(__self__, "conditions", conditions)
@property
@pulumi.getter
def conditions(self) -> pulumi.Input[Sequence[pulumi.Input['AssetFilterTrackSelectionConditionArgs']]]:
"""
One or more `condition` blocks as defined above.
"""
return pulumi.get(self, "conditions")
@conditions.setter
def conditions(self, value: pulumi.Input[Sequence[pulumi.Input['AssetFilterTrackSelectionConditionArgs']]]):
pulumi.set(self, "conditions", value)
@pulumi.input_type
class AssetFilterTrackSelectionConditionArgs:
def __init__(__self__, *,
operation: Optional[pulumi.Input[str]] = None,
property: Optional[pulumi.Input[str]] = None,
value: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[str] operation: The condition operation to test a track property against. Supported values are `Equal` and `NotEqual`.
:param pulumi.Input[str] property: The track property to compare. Supported values are `Bitrate`, `FourCC`, `Language`, `Name` and `Type`. Check [documentation](https://docs.microsoft.com/en-us/azure/media-services/latest/filters-concept) for more details.
:param pulumi.Input[str] value: The track property value to match or not match.
"""
if operation is not None:
pulumi.set(__self__, "operation", operation)
if property is not None:
pulumi.set(__self__, "property", property)
if value is not None:
pulumi.set(__self__, "value", value)
@property
@pulumi.getter
def operation(self) -> Optional[pulumi.Input[str]]:
"""
The condition operation to test a track property against. Supported values are `Equal` and `NotEqual`.
"""
return pulumi.get(self, "operation")
@operation.setter
def operation(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "operation", value)
@property
@pulumi.getter
def value(self) -> Optional[pulumi.Input[str]]:
"""
The track property value to match or not match.
"""
return pulumi.get(self, "value")
@value.setter
def value(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "value", value)
@property
@pulumi.getter
def property(self) -> Optional[pulumi.Input[str]]:
"""
The track property to compare. Supported values are `Bitrate`, `FourCC`, `Language`, `Name` and `Type`. Check [documentation](https://docs.microsoft.com/en-us/azure/media-services/latest/filters-concept) for more details.
"""
return pulumi.get(self, "property")
@property.setter
def property(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "property", value)
@pulumi.input_type
class ContentKeyPolicyPolicyOptionArgs:
def __init__(__self__, *,
name: pulumi.Input[str],
clear_key_configuration_enabled: Optional[pulumi.Input[bool]] = None,
fairplay_configuration: Optional[pulumi.Input['ContentKeyPolicyPolicyOptionFairplayConfigurationArgs']] = None,
open_restriction_enabled: Optional[pulumi.Input[bool]] = None,
playready_configuration_licenses: Optional[pulumi.Input[Sequence[pulumi.Input['ContentKeyPolicyPolicyOptionPlayreadyConfigurationLicenseArgs']]]] = None,
token_restriction: Optional[pulumi.Input['ContentKeyPolicyPolicyOptionTokenRestrictionArgs']] = None,
widevine_configuration_template: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[str] name: The name which should be used for this Policy Option.
:param pulumi.Input[bool] clear_key_configuration_enabled: Enable a configuration for non-DRM keys.
:param pulumi.Input['ContentKeyPolicyPolicyOptionFairplayConfigurationArgs'] fairplay_configuration: A `fairplay_configuration` block as defined above. Check license requirements here https://docs.microsoft.com/en-us/azure/media-services/latest/fairplay-license-overview.
:param pulumi.Input[bool] open_restriction_enabled: Enable an open restriction. License or key will be delivered on every request.
:param pulumi.Input[Sequence[pulumi.Input['ContentKeyPolicyPolicyOptionPlayreadyConfigurationLicenseArgs']]] playready_configuration_licenses: One or more `playready_configuration_license` blocks as defined above.
:param pulumi.Input['ContentKeyPolicyPolicyOptionTokenRestrictionArgs'] token_restriction: A `token_restriction` block as defined below.
:param pulumi.Input[str] widevine_configuration_template: The Widevine template.
"""
pulumi.set(__self__, "name", name)
if clear_key_configuration_enabled is not None:
pulumi.set(__self__, "clear_key_configuration_enabled", clear_key_configuration_enabled)
if fairplay_configuration is not None:
pulumi.set(__self__, "fairplay_configuration", fairplay_configuration)
if open_restriction_enabled is not None:
pulumi.set(__self__, "open_restriction_enabled", open_restriction_enabled)
if playready_configuration_licenses is not None:
pulumi.set(__self__, "playready_configuration_licenses", playready_configuration_licenses)
if token_restriction is not None:
pulumi.set(__self__, "token_restriction", token_restriction)
if widevine_configuration_template is not None:
pulumi.set(__self__, "widevine_configuration_template", widevine_configuration_template)
@property
@pulumi.getter
def name(self) -> pulumi.Input[str]:
"""
The name which should be used for this Policy Option.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: pulumi.Input[str]):
pulumi.set(self, "name", value)
@property
@pulumi.getter(name="clearKeyConfigurationEnabled")
def clear_key_configuration_enabled(self) -> Optional[pulumi.Input[bool]]:
"""
Enable a configuration for non-DRM keys.
"""
return pulumi.get(self, "clear_key_configuration_enabled")
@clear_key_configuration_enabled.setter
def clear_key_configuration_enabled(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "clear_key_configuration_enabled", value)
@property
@pulumi.getter(name="fairplayConfiguration")
def fairplay_configuration(self) -> Optional[pulumi.Input['ContentKeyPolicyPolicyOptionFairplayConfigurationArgs']]:
"""
A `fairplay_configuration` block as defined above. Check license requirements here https://docs.microsoft.com/en-us/azure/media-services/latest/fairplay-license-overview.
"""
return pulumi.get(self, "fairplay_configuration")
@fairplay_configuration.setter
def fairplay_configuration(self, value: Optional[pulumi.Input['ContentKeyPolicyPolicyOptionFairplayConfigurationArgs']]):
pulumi.set(self, "fairplay_configuration", value)
@property
@pulumi.getter(name="openRestrictionEnabled")
def open_restriction_enabled(self) -> Optional[pulumi.Input[bool]]:
"""
Enable an open restriction. License or key will be delivered on every request.
"""
return pulumi.get(self, "open_restriction_enabled")
@open_restriction_enabled.setter
def open_restriction_enabled(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "open_restriction_enabled", value)
@property
@pulumi.getter(name="playreadyConfigurationLicenses")
def playready_configuration_licenses(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['ContentKeyPolicyPolicyOptionPlayreadyConfigurationLicenseArgs']]]]:
"""
One or more `playready_configuration_license` blocks as defined above.
"""
return pulumi.get(self, "playready_configuration_licenses")
@playready_configuration_licenses.setter
def playready_configuration_licenses(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['ContentKeyPolicyPolicyOptionPlayreadyConfigurationLicenseArgs']]]]):
pulumi.set(self, "playready_configuration_licenses", value)
@property
@pulumi.getter(name="tokenRestriction")
def token_restriction(self) -> Optional[pulumi.Input['ContentKeyPolicyPolicyOptionTokenRestrictionArgs']]:
"""
A `token_restriction` block as defined below.
"""
return pulumi.get(self, "token_restriction")
@token_restriction.setter
def token_restriction(self, value: Optional[pulumi.Input['ContentKeyPolicyPolicyOptionTokenRestrictionArgs']]):
pulumi.set(self, "token_restriction", value)
@property
@pulumi.getter(name="widevineConfigurationTemplate")
def widevine_configuration_template(self) -> Optional[pulumi.Input[str]]:
"""
The Widevine template.
"""
return pulumi.get(self, "widevine_configuration_template")
@widevine_configuration_template.setter
def widevine_configuration_template(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "widevine_configuration_template", value)
@pulumi.input_type
class ContentKeyPolicyPolicyOptionFairplayConfigurationArgs:
def __init__(__self__, *,
ask: Optional[pulumi.Input[str]] = None,
offline_rental_configuration: Optional[pulumi.Input['ContentKeyPolicyPolicyOptionFairplayConfigurationOfflineRentalConfigurationArgs']] = None,
pfx: Optional[pulumi.Input[str]] = None,
pfx_password: Optional[pulumi.Input[str]] = None,
rental_and_lease_key_type: Optional[pulumi.Input[str]] = None,
rental_duration_seconds: Optional[pulumi.Input[int]] = None):
"""
:param pulumi.Input[str] ask: The key that must be used as FairPlay Application Secret key.
:param pulumi.Input['ContentKeyPolicyPolicyOptionFairplayConfigurationOfflineRentalConfigurationArgs'] offline_rental_configuration: A `offline_rental_configuration` block as defined below.
:param pulumi.Input[str] pfx: The Base64 representation of FairPlay certificate in PKCS 12 (pfx) format (including private key).
:param pulumi.Input[str] pfx_password: The password encrypting FairPlay certificate in PKCS 12 (pfx) format.
:param pulumi.Input[str] rental_and_lease_key_type: The rental and lease key type. Supported values are `DualExpiry`, `PersistentLimited`, `PersistentUnlimited` or `Undefined`.
:param pulumi.Input[int] rental_duration_seconds: The rental duration. Must be greater than 0.
"""
if ask is not None:
pulumi.set(__self__, "ask", ask)
if offline_rental_configuration is not None:
pulumi.set(__self__, "offline_rental_configuration", offline_rental_configuration)
if pfx is not None:
pulumi.set(__self__, "pfx", pfx)
if pfx_password is not None:
pulumi.set(__self__, "pfx_password", pfx_password)
if rental_and_lease_key_type is not None:
pulumi.set(__self__, "rental_and_lease_key_type", rental_and_lease_key_type)
if rental_duration_seconds is not None:
pulumi.set(__self__, "rental_duration_seconds", rental_duration_seconds)
@property
@pulumi.getter
def ask(self) -> Optional[pulumi.Input[str]]:
"""
The key that must be used as FairPlay Application Secret key.
"""
return pulumi.get(self, "ask")
@ask.setter
def ask(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "ask", value)
@property
@pulumi.getter(name="offlineRentalConfiguration")
def offline_rental_configuration(self) -> Optional[pulumi.Input['ContentKeyPolicyPolicyOptionFairplayConfigurationOfflineRentalConfigurationArgs']]:
"""
A `offline_rental_configuration` block as defined below.
"""
return pulumi.get(self, "offline_rental_configuration")
@offline_rental_configuration.setter
def offline_rental_configuration(self, value: Optional[pulumi.Input['ContentKeyPolicyPolicyOptionFairplayConfigurationOfflineRentalConfigurationArgs']]):
pulumi.set(self, "offline_rental_configuration", value)
@property
@pulumi.getter
def pfx(self) -> Optional[pulumi.Input[str]]:
"""
The Base64 representation of FairPlay certificate in PKCS 12 (pfx) format (including private key).
"""
return pulumi.get(self, "pfx")
@pfx.setter
def pfx(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "pfx", value)
@property
@pulumi.getter(name="pfxPassword")
def pfx_password(self) -> Optional[pulumi.Input[str]]:
"""
The password encrypting FairPlay certificate in PKCS 12 (pfx) format.
"""
return pulumi.get(self, "pfx_password")
@pfx_password.setter
def pfx_password(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "pfx_password", value)
@property
@pulumi.getter(name="rentalAndLeaseKeyType")
def rental_and_lease_key_type(self) -> Optional[pulumi.Input[str]]:
"""
The rental and lease key type. Supported values are `DualExpiry`, `PersistentLimited`, `PersistentUnlimited` or `Undefined`.
"""
return pulumi.get(self, "rental_and_lease_key_type")
@rental_and_lease_key_type.setter
def rental_and_lease_key_type(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "rental_and_lease_key_type", value)
@property
@pulumi.getter(name="rentalDurationSeconds")
def rental_duration_seconds(self) -> Optional[pulumi.Input[int]]:
"""
The rental duration. Must be greater than 0.
"""
return pulumi.get(self, "rental_duration_seconds")
@rental_duration_seconds.setter
def rental_duration_seconds(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "rental_duration_seconds", value)
@pulumi.input_type
class ContentKeyPolicyPolicyOptionFairplayConfigurationOfflineRentalConfigurationArgs:
def __init__(__self__, *,
playback_duration_seconds: Optional[pulumi.Input[int]] = None,
storage_duration_seconds: Optional[pulumi.Input[int]] = None):
"""
:param pulumi.Input[int] playback_duration_seconds: Playback duration.
:param pulumi.Input[int] storage_duration_seconds: Storage duration.
"""
if playback_duration_seconds is not None:
pulumi.set(__self__, "playback_duration_seconds", playback_duration_seconds)
if storage_duration_seconds is not None:
pulumi.set(__self__, "storage_duration_seconds", storage_duration_seconds)
@property
@pulumi.getter(name="playbackDurationSeconds")
def playback_duration_seconds(self) -> Optional[pulumi.Input[int]]:
"""
Playback duration.
"""
return pulumi.get(self, "playback_duration_seconds")
@playback_duration_seconds.setter
def playback_duration_seconds(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "playback_duration_seconds", value)
@property
@pulumi.getter(name="storageDurationSeconds")
def storage_duration_seconds(self) -> Optional[pulumi.Input[int]]:
"""
Storage duration.
"""
return pulumi.get(self, "storage_duration_seconds")
@storage_duration_seconds.setter
def storage_duration_seconds(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "storage_duration_seconds", value)
@pulumi.input_type
class ContentKeyPolicyPolicyOptionPlayreadyConfigurationLicenseArgs:
def __init__(__self__, *,
allow_test_devices: Optional[pulumi.Input[bool]] = None,
begin_date: Optional[pulumi.Input[str]] = None,
content_key_location_from_header_enabled: Optional[pulumi.Input[bool]] = None,
content_key_location_from_key_id: Optional[pulumi.Input[str]] = None,
content_type: Optional[pulumi.Input[str]] = None,
expiration_date: Optional[pulumi.Input[str]] = None,
grace_period: Optional[pulumi.Input[str]] = None,
license_type: Optional[pulumi.Input[str]] = None,
play_right: Optional[pulumi.Input['ContentKeyPolicyPolicyOptionPlayreadyConfigurationLicensePlayRightArgs']] = None,
relative_begin_date: Optional[pulumi.Input[str]] = None,
relative_expiration_date: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[bool] allow_test_devices: A flag indicating whether test devices can use the license.
:param pulumi.Input[str] begin_date: The begin date of license.
:param pulumi.Input[bool] content_key_location_from_header_enabled: Specifies that the content key ID is in the PlayReady header.
:param pulumi.Input[str] content_key_location_from_key_id: The content key ID. Specifies that the content key ID is specified in the PlayReady configuration.
:param pulumi.Input[str] content_type: The PlayReady content type. Supported values are `UltraVioletDownload`, `UltraVioletStreaming` or `Unspecified`.
:param pulumi.Input[str] expiration_date: The expiration date of license.
:param pulumi.Input[str] grace_period: The grace period of license.
:param pulumi.Input[str] license_type: The license type. Supported values are `NonPersistent` or `Persistent`.
:param pulumi.Input['ContentKeyPolicyPolicyOptionPlayreadyConfigurationLicensePlayRightArgs'] play_right: A `play_right` block as defined above.
:param pulumi.Input[str] relative_begin_date: The relative begin date of license.
:param pulumi.Input[str] relative_expiration_date: The relative expiration date of license.
"""
if allow_test_devices is not None:
pulumi.set(__self__, "allow_test_devices", allow_test_devices)
if begin_date is not None:
pulumi.set(__self__, "begin_date", begin_date)
if content_key_location_from_header_enabled is not None:
pulumi.set(__self__, "content_key_location_from_header_enabled", content_key_location_from_header_enabled)
if content_key_location_from_key_id is not None:
pulumi.set(__self__, "content_key_location_from_key_id", content_key_location_from_key_id)
if content_type is not None:
pulumi.set(__self__, "content_type", content_type)
if expiration_date is not None:
pulumi.set(__self__, "expiration_date", expiration_date)
if grace_period is not None:
pulumi.set(__self__, "grace_period", grace_period)
if license_type is not None:
pulumi.set(__self__, "license_type", license_type)
if play_right is not None:
pulumi.set(__self__, "play_right", play_right)
if relative_begin_date is not None:
pulumi.set(__self__, "relative_begin_date", relative_begin_date)
if relative_expiration_date is not None:
pulumi.set(__self__, "relative_expiration_date", relative_expiration_date)
@property
@pulumi.getter(name="allowTestDevices")
def allow_test_devices(self) -> Optional[pulumi.Input[bool]]:
"""
A flag indicating whether test devices can use the license.
"""
return pulumi.get(self, "allow_test_devices")
@allow_test_devices.setter
def allow_test_devices(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "allow_test_devices", value)
@property
@pulumi.getter(name="beginDate")
def begin_date(self) -> Optional[pulumi.Input[str]]:
"""
The begin date of license.
"""
return pulumi.get(self, "begin_date")
@begin_date.setter
def begin_date(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "begin_date", value)
@property
@pulumi.getter(name="contentKeyLocationFromHeaderEnabled")
def content_key_location_from_header_enabled(self) -> Optional[pulumi.Input[bool]]:
"""
Specifies that the content key ID is in the PlayReady header.
"""
return pulumi.get(self, "content_key_location_from_header_enabled")
@content_key_location_from_header_enabled.setter
def content_key_location_from_header_enabled(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "content_key_location_from_header_enabled", value)
@property
@pulumi.getter(name="contentKeyLocationFromKeyId")
def content_key_location_from_key_id(self) -> Optional[pulumi.Input[str]]:
"""
The content key ID. Specifies that the content key ID is specified in the PlayReady configuration.
"""
return pulumi.get(self, "content_key_location_from_key_id")
@content_key_location_from_key_id.setter
def content_key_location_from_key_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "content_key_location_from_key_id", value)
@property
@pulumi.getter(name="contentType")
def content_type(self) -> Optional[pulumi.Input[str]]:
"""
The PlayReady content type. Supported values are `UltraVioletDownload`, `UltraVioletStreaming` or `Unspecified`.
"""
return pulumi.get(self, "content_type")
@content_type.setter
def content_type(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "content_type", value)
@property
@pulumi.getter(name="expirationDate")
def expiration_date(self) -> Optional[pulumi.Input[str]]:
"""
The expiration date of license.
"""
return pulumi.get(self, "expiration_date")
@expiration_date.setter
def expiration_date(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "expiration_date", value)
@property
@pulumi.getter(name="gracePeriod")
def grace_period(self) -> Optional[pulumi.Input[str]]:
"""
The grace period of license.
"""
return pulumi.get(self, "grace_period")
@grace_period.setter
def grace_period(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "grace_period", value)
@property
@pulumi.getter(name="licenseType")
def license_type(self) -> Optional[pulumi.Input[str]]:
"""
The license type. Supported values are `NonPersistent` or `Persistent`.
"""
return pulumi.get(self, "license_type")
@license_type.setter
def license_type(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "license_type", value)
@property
@pulumi.getter(name="playRight")
def play_right(self) -> Optional[pulumi.Input['ContentKeyPolicyPolicyOptionPlayreadyConfigurationLicensePlayRightArgs']]:
"""
A `play_right` block as defined above.
"""
return pulumi.get(self, "play_right")
@play_right.setter
def play_right(self, value: Optional[pulumi.Input['ContentKeyPolicyPolicyOptionPlayreadyConfigurationLicensePlayRightArgs']]):
pulumi.set(self, "play_right", value)
@property
@pulumi.getter(name="relativeBeginDate")
def relative_begin_date(self) -> Optional[pulumi.Input[str]]:
"""
The relative begin date of license.
"""
return pulumi.get(self, "relative_begin_date")
@relative_begin_date.setter
def relative_begin_date(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "relative_begin_date", value)
@property
@pulumi.getter(name="relativeExpirationDate")
def relative_expiration_date(self) -> Optional[pulumi.Input[str]]:
"""
The relative expiration date of license.
"""
return pulumi.get(self, "relative_expiration_date")
@relative_expiration_date.setter
def relative_expiration_date(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "relative_expiration_date", value)
@pulumi.input_type
class ContentKeyPolicyPolicyOptionPlayreadyConfigurationLicensePlayRightArgs:
def __init__(__self__, *,
agc_and_color_stripe_restriction: Optional[pulumi.Input[int]] = None,
allow_passing_video_content_to_unknown_output: Optional[pulumi.Input[str]] = None,
analog_video_opl: Optional[pulumi.Input[int]] = None,
compressed_digital_audio_opl: Optional[pulumi.Input[int]] = None,
digital_video_only_content_restriction: Optional[pulumi.Input[bool]] = None,
first_play_expiration: Optional[pulumi.Input[str]] = None,
image_constraint_for_analog_component_video_restriction: Optional[pulumi.Input[bool]] = None,
image_constraint_for_analog_computer_monitor_restriction: Optional[pulumi.Input[bool]] = None,
scms_restriction: Optional[pulumi.Input[int]] = None,
uncompressed_digital_audio_opl: Optional[pulumi.Input[int]] = None,
uncompressed_digital_video_opl: Optional[pulumi.Input[int]] = None):
"""
:param pulumi.Input[int] agc_and_color_stripe_restriction: Configures Automatic Gain Control (AGC) and Color Stripe in the license. Must be between 0 and 3 inclusive.
:param pulumi.Input[str] allow_passing_video_content_to_unknown_output: Configures Unknown output handling settings of the license. Supported values are `Allowed`, `AllowedWithVideoConstriction` or `NotAllowed`.
:param pulumi.Input[int] analog_video_opl: Specifies the output protection level for compressed digital audio. Supported values are 100, 150 or 200.
:param pulumi.Input[int] compressed_digital_audio_opl: Specifies the output protection level for compressed digital audio.Supported values are 100, 150 or 200.
:param pulumi.Input[bool] digital_video_only_content_restriction: Enables the Image Constraint For Analog Component Video Restriction in the license.
:param pulumi.Input[str] first_play_expiration: The amount of time that the license is valid after the license is first used to play content.
:param pulumi.Input[bool] image_constraint_for_analog_component_video_restriction: Enables the Image Constraint For Analog Component Video Restriction in the license.
:param pulumi.Input[bool] image_constraint_for_analog_computer_monitor_restriction: Enables the Image Constraint For Analog Component Video Restriction in the license.
:param pulumi.Input[int] scms_restriction: Configures the Serial Copy Management System (SCMS) in the license. Must be between 0 and 3 inclusive.
:param pulumi.Input[int] uncompressed_digital_audio_opl: Specifies the output protection level for uncompressed digital audio. Supported values are 100, 150, 250 or 300.
:param pulumi.Input[int] uncompressed_digital_video_opl: Specifies the output protection level for uncompressed digital video. Supported values are 100, 150, 250 or 300.
"""
if agc_and_color_stripe_restriction is not None:
pulumi.set(__self__, "agc_and_color_stripe_restriction", agc_and_color_stripe_restriction)
if allow_passing_video_content_to_unknown_output is not None:
pulumi.set(__self__, "allow_passing_video_content_to_unknown_output", allow_passing_video_content_to_unknown_output)
if analog_video_opl is not None:
pulumi.set(__self__, "analog_video_opl", analog_video_opl)
if compressed_digital_audio_opl is not None:
pulumi.set(__self__, "compressed_digital_audio_opl", compressed_digital_audio_opl)
if digital_video_only_content_restriction is not None:
pulumi.set(__self__, "digital_video_only_content_restriction", digital_video_only_content_restriction)
if first_play_expiration is not None:
pulumi.set(__self__, "first_play_expiration", first_play_expiration)
if image_constraint_for_analog_component_video_restriction is not None:
pulumi.set(__self__, "image_constraint_for_analog_component_video_restriction", image_constraint_for_analog_component_video_restriction)
if image_constraint_for_analog_computer_monitor_restriction is not None:
pulumi.set(__self__, "image_constraint_for_analog_computer_monitor_restriction", image_constraint_for_analog_computer_monitor_restriction)
if scms_restriction is not None:
pulumi.set(__self__, "scms_restriction", scms_restriction)
if uncompressed_digital_audio_opl is not None:
pulumi.set(__self__, "uncompressed_digital_audio_opl", uncompressed_digital_audio_opl)
if uncompressed_digital_video_opl is not None:
pulumi.set(__self__, "uncompressed_digital_video_opl", uncompressed_digital_video_opl)
@property
@pulumi.getter(name="agcAndColorStripeRestriction")
def agc_and_color_stripe_restriction(self) -> Optional[pulumi.Input[int]]:
"""
Configures Automatic Gain Control (AGC) and Color Stripe in the license. Must be between 0 and 3 inclusive.
"""
return pulumi.get(self, "agc_and_color_stripe_restriction")
@agc_and_color_stripe_restriction.setter
def agc_and_color_stripe_restriction(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "agc_and_color_stripe_restriction", value)
@property
@pulumi.getter(name="allowPassingVideoContentToUnknownOutput")
def allow_passing_video_content_to_unknown_output(self) -> Optional[pulumi.Input[str]]:
"""
Configures Unknown output handling settings of the license. Supported values are `Allowed`, `AllowedWithVideoConstriction` or `NotAllowed`.
"""
return pulumi.get(self, "allow_passing_video_content_to_unknown_output")
@allow_passing_video_content_to_unknown_output.setter
def allow_passing_video_content_to_unknown_output(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "allow_passing_video_content_to_unknown_output", value)
@property
@pulumi.getter(name="analogVideoOpl")
def analog_video_opl(self) -> Optional[pulumi.Input[int]]:
"""
Specifies the output protection level for compressed digital audio. Supported values are 100, 150 or 200.
"""
return pulumi.get(self, "analog_video_opl")
@analog_video_opl.setter
def analog_video_opl(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "analog_video_opl", value)
@property
@pulumi.getter(name="compressedDigitalAudioOpl")
def compressed_digital_audio_opl(self) -> Optional[pulumi.Input[int]]:
"""
Specifies the output protection level for compressed digital audio.Supported values are 100, 150 or 200.
"""
return pulumi.get(self, "compressed_digital_audio_opl")
@compressed_digital_audio_opl.setter
def compressed_digital_audio_opl(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "compressed_digital_audio_opl", value)
@property
@pulumi.getter(name="digitalVideoOnlyContentRestriction")
def digital_video_only_content_restriction(self) -> Optional[pulumi.Input[bool]]:
"""
Enables the Image Constraint For Analog Component Video Restriction in the license.
"""
return pulumi.get(self, "digital_video_only_content_restriction")
@digital_video_only_content_restriction.setter
def digital_video_only_content_restriction(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "digital_video_only_content_restriction", value)
@property
@pulumi.getter(name="firstPlayExpiration")
def first_play_expiration(self) -> Optional[pulumi.Input[str]]:
"""
The amount of time that the license is valid after the license is first used to play content.
"""
return pulumi.get(self, "first_play_expiration")
@first_play_expiration.setter
def first_play_expiration(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "first_play_expiration", value)
@property
@pulumi.getter(name="imageConstraintForAnalogComponentVideoRestriction")
def image_constraint_for_analog_component_video_restriction(self) -> Optional[pulumi.Input[bool]]:
"""
Enables the Image Constraint For Analog Component Video Restriction in the license.
"""
return pulumi.get(self, "image_constraint_for_analog_component_video_restriction")
@image_constraint_for_analog_component_video_restriction.setter
def image_constraint_for_analog_component_video_restriction(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "image_constraint_for_analog_component_video_restriction", value)
@property
@pulumi.getter(name="imageConstraintForAnalogComputerMonitorRestriction")
def image_constraint_for_analog_computer_monitor_restriction(self) -> Optional[pulumi.Input[bool]]:
"""
Enables the Image Constraint For Analog Component Video Restriction in the license.
"""
return pulumi.get(self, "image_constraint_for_analog_computer_monitor_restriction")
@image_constraint_for_analog_computer_monitor_restriction.setter
def image_constraint_for_analog_computer_monitor_restriction(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "image_constraint_for_analog_computer_monitor_restriction", value)
@property
@pulumi.getter(name="scmsRestriction")
def scms_restriction(self) -> Optional[pulumi.Input[int]]:
"""
Configures the Serial Copy Management System (SCMS) in the license. Must be between 0 and 3 inclusive.
"""
return pulumi.get(self, "scms_restriction")
@scms_restriction.setter
def scms_restriction(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "scms_restriction", value)
@property
@pulumi.getter(name="uncompressedDigitalAudioOpl")
def uncompressed_digital_audio_opl(self) -> Optional[pulumi.Input[int]]:
"""
Specifies the output protection level for uncompressed digital audio. Supported values are 100, 150, 250 or 300.
"""
return pulumi.get(self, "uncompressed_digital_audio_opl")
@uncompressed_digital_audio_opl.setter
def uncompressed_digital_audio_opl(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "uncompressed_digital_audio_opl", value)
@property
@pulumi.getter(name="uncompressedDigitalVideoOpl")
def uncompressed_digital_video_opl(self) -> Optional[pulumi.Input[int]]:
"""
Specifies the output protection level for uncompressed digital video. Supported values are 100, 150, 250 or 300.
"""
return pulumi.get(self, "uncompressed_digital_video_opl")
@uncompressed_digital_video_opl.setter
def uncompressed_digital_video_opl(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "uncompressed_digital_video_opl", value)
@pulumi.input_type
class ContentKeyPolicyPolicyOptionTokenRestrictionArgs:
def __init__(__self__, *,
audience: Optional[pulumi.Input[str]] = None,
issuer: Optional[pulumi.Input[str]] = None,
open_id_connect_discovery_document: Optional[pulumi.Input[str]] = None,
primary_rsa_token_key_exponent: Optional[pulumi.Input[str]] = None,
primary_rsa_token_key_modulus: Optional[pulumi.Input[str]] = None,
primary_symmetric_token_key: Optional[pulumi.Input[str]] = None,
primary_x509_token_key_raw: Optional[pulumi.Input[str]] = None,
required_claims: Optional[pulumi.Input[Sequence[pulumi.Input['ContentKeyPolicyPolicyOptionTokenRestrictionRequiredClaimArgs']]]] = None,
token_type: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[str] audience: The audience for the token.
:param pulumi.Input[str] issuer: The token issuer.
:param pulumi.Input[str] open_id_connect_discovery_document: The OpenID connect discovery document.
:param pulumi.Input[str] primary_rsa_token_key_exponent: The RSA Parameter exponent.
:param pulumi.Input[str] primary_rsa_token_key_modulus: The RSA Parameter modulus.
:param pulumi.Input[str] primary_symmetric_token_key: The key value of the key. Specifies a symmetric key for token validation.
:param pulumi.Input[str] primary_x509_token_key_raw: The raw data field of a certificate in PKCS 12 format (X509Certificate2 in .NET). Specifies a certificate for token validation.
:param pulumi.Input[Sequence[pulumi.Input['ContentKeyPolicyPolicyOptionTokenRestrictionRequiredClaimArgs']]] required_claims: One or more `required_claim` blocks as defined above.
:param pulumi.Input[str] token_type: The type of token. Supported values are `Jwt` or `Swt`.
"""
if audience is not None:
pulumi.set(__self__, "audience", audience)
if issuer is not None:
pulumi.set(__self__, "issuer", issuer)
if open_id_connect_discovery_document is not None:
pulumi.set(__self__, "open_id_connect_discovery_document", open_id_connect_discovery_document)
if primary_rsa_token_key_exponent is not None:
pulumi.set(__self__, "primary_rsa_token_key_exponent", primary_rsa_token_key_exponent)
if primary_rsa_token_key_modulus is not None:
pulumi.set(__self__, "primary_rsa_token_key_modulus", primary_rsa_token_key_modulus)
if primary_symmetric_token_key is not None:
pulumi.set(__self__, "primary_symmetric_token_key", primary_symmetric_token_key)
if primary_x509_token_key_raw is not None:
pulumi.set(__self__, "primary_x509_token_key_raw", primary_x509_token_key_raw)
if required_claims is not None:
pulumi.set(__self__, "required_claims", required_claims)
if token_type is not None:
pulumi.set(__self__, "token_type", token_type)
@property
@pulumi.getter
def audience(self) -> Optional[pulumi.Input[str]]:
"""
The audience for the token.
"""
return pulumi.get(self, "audience")
@audience.setter
def audience(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "audience", value)
@property
@pulumi.getter
def issuer(self) -> Optional[pulumi.Input[str]]:
"""
The token issuer.
"""
return pulumi.get(self, "issuer")
@issuer.setter
def issuer(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "issuer", value)
@property
@pulumi.getter(name="openIdConnectDiscoveryDocument")
def open_id_connect_discovery_document(self) -> Optional[pulumi.Input[str]]:
"""
The OpenID connect discovery document.
"""
return pulumi.get(self, "open_id_connect_discovery_document")
@open_id_connect_discovery_document.setter
def open_id_connect_discovery_document(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "open_id_connect_discovery_document", value)
@property
@pulumi.getter(name="primaryRsaTokenKeyExponent")
def primary_rsa_token_key_exponent(self) -> Optional[pulumi.Input[str]]:
"""
The RSA Parameter exponent.
"""
return pulumi.get(self, "primary_rsa_token_key_exponent")
@primary_rsa_token_key_exponent.setter
def primary_rsa_token_key_exponent(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "primary_rsa_token_key_exponent", value)
@property
@pulumi.getter(name="primaryRsaTokenKeyModulus")
def primary_rsa_token_key_modulus(self) -> Optional[pulumi.Input[str]]:
"""
The RSA Parameter modulus.
"""
return pulumi.get(self, "primary_rsa_token_key_modulus")
@primary_rsa_token_key_modulus.setter
def primary_rsa_token_key_modulus(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "primary_rsa_token_key_modulus", value)
@property
@pulumi.getter(name="primarySymmetricTokenKey")
def primary_symmetric_token_key(self) -> Optional[pulumi.Input[str]]:
"""
The key value of the key. Specifies a symmetric key for token validation.
"""
return pulumi.get(self, "primary_symmetric_token_key")
@primary_symmetric_token_key.setter
def primary_symmetric_token_key(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "primary_symmetric_token_key", value)
@property
@pulumi.getter(name="primaryX509TokenKeyRaw")
def primary_x509_token_key_raw(self) -> Optional[pulumi.Input[str]]:
"""
The raw data field of a certificate in PKCS 12 format (X509Certificate2 in .NET). Specifies a certificate for token validation.
"""
return pulumi.get(self, "primary_x509_token_key_raw")
@primary_x509_token_key_raw.setter
def primary_x509_token_key_raw(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "primary_x509_token_key_raw", value)
@property
@pulumi.getter(name="requiredClaims")
def required_claims(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['ContentKeyPolicyPolicyOptionTokenRestrictionRequiredClaimArgs']]]]:
"""
One or more `required_claim` blocks as defined above.
"""
return pulumi.get(self, "required_claims")
@required_claims.setter
def required_claims(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['ContentKeyPolicyPolicyOptionTokenRestrictionRequiredClaimArgs']]]]):
pulumi.set(self, "required_claims", value)
@property
@pulumi.getter(name="tokenType")
def token_type(self) -> Optional[pulumi.Input[str]]:
"""
The type of token. Supported values are `Jwt` or `Swt`.
"""
return pulumi.get(self, "token_type")
@token_type.setter
def token_type(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "token_type", value)
@pulumi.input_type
class ContentKeyPolicyPolicyOptionTokenRestrictionRequiredClaimArgs:
def __init__(__self__, *,
type: Optional[pulumi.Input[str]] = None,
value: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[str] type: Token claim type.
:param pulumi.Input[str] value: Token claim value.
"""
if type is not None:
pulumi.set(__self__, "type", type)
if value is not None:
pulumi.set(__self__, "value", value)
@property
@pulumi.getter
def type(self) -> Optional[pulumi.Input[str]]:
"""
Token claim type.
"""
return pulumi.get(self, "type")
@type.setter
def type(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "type", value)
@property
@pulumi.getter
def value(self) -> Optional[pulumi.Input[str]]:
"""
Token claim value.
"""
return pulumi.get(self, "value")
@value.setter
def value(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "value", value)
@pulumi.input_type
class JobInputAssetArgs:
def __init__(__self__, *,
name: pulumi.Input[str],
label: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[str] name: The name of the input Asset. Changing this forces a new Media Job to be created.
:param pulumi.Input[str] label: A label that is assigned to a JobInputClip, that is used to satisfy a reference used in the Transform. For example, a Transform can be authored so as to take an image file with the label 'xyz' and apply it as an overlay onto the input video before it is encoded. When submitting a Job, exactly one of the JobInputs should be the image file, and it should have the label 'xyz'.
"""
pulumi.set(__self__, "name", name)
if label is not None:
pulumi.set(__self__, "label", label)
@property
@pulumi.getter
def name(self) -> pulumi.Input[str]:
"""
The name of the input Asset. Changing this forces a new Media Job to be created.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: pulumi.Input[str]):
pulumi.set(self, "name", value)
@property
@pulumi.getter
def label(self) -> Optional[pulumi.Input[str]]:
"""
A label that is assigned to a JobInputClip, that is used to satisfy a reference used in the Transform. For example, a Transform can be authored so as to take an image file with the label 'xyz' and apply it as an overlay onto the input video before it is encoded. When submitting a Job, exactly one of the JobInputs should be the image file, and it should have the label 'xyz'.
"""
return pulumi.get(self, "label")
@label.setter
def label(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "label", value)
@pulumi.input_type
class JobOutputAssetArgs:
def __init__(__self__, *,
name: pulumi.Input[str],
label: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[str] name: The name of the output Asset. Changing this forces a new Media Job to be created.
:param pulumi.Input[str] label: A label that is assigned to a JobOutput in order to help uniquely identify it. This is useful when your Transform has more than one TransformOutput, whereby your Job has more than one JobOutput. In such cases, when you submit the Job, you will add two or more JobOutputs, in the same order as TransformOutputs in the Transform. Subsequently, when you retrieve the Job, either through events or on a GET request, you can use the label to easily identify the JobOutput. If a label is not provided, a default value of '{presetName}_{outputIndex}' will be used, where the preset name is the name of the preset in the corresponding TransformOutput and the output index is the relative index of the this JobOutput within the Job. Note that this index is the same as the relative index of the corresponding TransformOutput within its Transform.
"""
pulumi.set(__self__, "name", name)
if label is not None:
pulumi.set(__self__, "label", label)
@property
@pulumi.getter
def name(self) -> pulumi.Input[str]:
"""
The name of the output Asset. Changing this forces a new Media Job to be created.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: pulumi.Input[str]):
pulumi.set(self, "name", value)
@property
@pulumi.getter
def label(self) -> Optional[pulumi.Input[str]]:
"""
A label that is assigned to a JobOutput in order to help uniquely identify it. This is useful when your Transform has more than one TransformOutput, whereby your Job has more than one JobOutput. In such cases, when you submit the Job, you will add two or more JobOutputs, in the same order as TransformOutputs in the Transform. Subsequently, when you retrieve the Job, either through events or on a GET request, you can use the label to easily identify the JobOutput. If a label is not provided, a default value of '{presetName}_{outputIndex}' will be used, where the preset name is the name of the preset in the corresponding TransformOutput and the output index is the relative index of the this JobOutput within the Job. Note that this index is the same as the relative index of the corresponding TransformOutput within its Transform.
"""
return pulumi.get(self, "label")
@label.setter
def label(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "label", value)
@pulumi.input_type
class LiveEventCrossSiteAccessPolicyArgs:
def __init__(__self__, *,
client_access_policy: Optional[pulumi.Input[str]] = None,
cross_domain_policy: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[str] client_access_policy: The content of clientaccesspolicy.xml used by Silverlight.
:param pulumi.Input[str] cross_domain_policy: The content of the Cross Domain Policy (`crossdomain.xml`).
"""
if client_access_policy is not None:
pulumi.set(__self__, "client_access_policy", client_access_policy)
if cross_domain_policy is not None:
pulumi.set(__self__, "cross_domain_policy", cross_domain_policy)
@property
@pulumi.getter(name="clientAccessPolicy")
def client_access_policy(self) -> Optional[pulumi.Input[str]]:
"""
The content of clientaccesspolicy.xml used by Silverlight.
"""
return pulumi.get(self, "client_access_policy")
@client_access_policy.setter
def client_access_policy(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "client_access_policy", value)
@property
@pulumi.getter(name="crossDomainPolicy")
def cross_domain_policy(self) -> Optional[pulumi.Input[str]]:
"""
The content of the Cross Domain Policy (`crossdomain.xml`).
"""
return pulumi.get(self, "cross_domain_policy")
@cross_domain_policy.setter
def cross_domain_policy(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "cross_domain_policy", value)
@pulumi.input_type
class LiveEventEncodingArgs:
def __init__(__self__, *,
key_frame_interval: Optional[pulumi.Input[str]] = None,
preset_name: Optional[pulumi.Input[str]] = None,
stretch_mode: Optional[pulumi.Input[str]] = None,
type: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[str] key_frame_interval: Use an `ISO 8601` time value between 0.5 to 20 seconds to specify the output fragment length for the video and audio tracks of an encoding live event. For example, use `PT2S` to indicate 2 seconds. For the video track it also defines the key frame interval, or the length of a GoP (group of pictures). If this value is not set for an encoding live event, the fragment duration defaults to 2 seconds. The value cannot be set for pass-through live events.
:param pulumi.Input[str] preset_name: The optional encoding preset name, used when `type` is not `None`. If the `type` is set to `Standard`, then the default preset name is `Default720p`. Else if the `type` is set to `Premium1080p`, the default preset is `Default1080p`. Changing this forces a new resource to be created.
:param pulumi.Input[str] stretch_mode: Specifies how the input video will be resized to fit the desired output resolution(s). Allowed values are `None`, `AutoFit` or `AutoSize`. Default is `None`.
:param pulumi.Input[str] type: Live event type. Allowed values are `None`, `Premium1080p` or `Standard`. When set to `None`, the service simply passes through the incoming video and audio layer(s) to the output. When `type` is set to `Standard` or `Premium1080p`, a live encoder transcodes the incoming stream into multiple bitrates or layers. Defaults to `None`. Changing this forces a new resource to be created.
"""
if key_frame_interval is not None:
pulumi.set(__self__, "key_frame_interval", key_frame_interval)
if preset_name is not None:
pulumi.set(__self__, "preset_name", preset_name)
if stretch_mode is not None:
pulumi.set(__self__, "stretch_mode", stretch_mode)
if type is not None:
pulumi.set(__self__, "type", type)
@property
@pulumi.getter(name="keyFrameInterval")
def key_frame_interval(self) -> Optional[pulumi.Input[str]]:
"""
Use an `ISO 8601` time value between 0.5 to 20 seconds to specify the output fragment length for the video and audio tracks of an encoding live event. For example, use `PT2S` to indicate 2 seconds. For the video track it also defines the key frame interval, or the length of a GoP (group of pictures). If this value is not set for an encoding live event, the fragment duration defaults to 2 seconds. The value cannot be set for pass-through live events.
"""
return pulumi.get(self, "key_frame_interval")
@key_frame_interval.setter
def key_frame_interval(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "key_frame_interval", value)
@property
@pulumi.getter(name="presetName")
def preset_name(self) -> Optional[pulumi.Input[str]]:
"""
The optional encoding preset name, used when `type` is not `None`. If the `type` is set to `Standard`, then the default preset name is `Default720p`. Else if the `type` is set to `Premium1080p`, the default preset is `Default1080p`. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "preset_name")
@preset_name.setter
def preset_name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "preset_name", value)
@property
@pulumi.getter(name="stretchMode")
def stretch_mode(self) -> Optional[pulumi.Input[str]]:
"""
Specifies how the input video will be resized to fit the desired output resolution(s). Allowed values are `None`, `AutoFit` or `AutoSize`. Default is `None`.
"""
return pulumi.get(self, "stretch_mode")
@stretch_mode.setter
def stretch_mode(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "stretch_mode", value)
@property
@pulumi.getter
def type(self) -> Optional[pulumi.Input[str]]:
"""
Live event type. Allowed values are `None`, `Premium1080p` or `Standard`. When set to `None`, the service simply passes through the incoming video and audio layer(s) to the output. When `type` is set to `Standard` or `Premium1080p`, a live encoder transcodes the incoming stream into multiple bitrates or layers. Defaults to `None`. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "type")
@type.setter
def type(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "type", value)
@pulumi.input_type
class LiveEventInputArgs:
def __init__(__self__, *,
access_token: Optional[pulumi.Input[str]] = None,
endpoints: Optional[pulumi.Input[Sequence[pulumi.Input['LiveEventInputEndpointArgs']]]] = None,
ip_access_control_allows: Optional[pulumi.Input[Sequence[pulumi.Input['LiveEventInputIpAccessControlAllowArgs']]]] = None,
key_frame_interval_duration: Optional[pulumi.Input[str]] = None,
streaming_protocol: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[str] access_token: A UUID in string form to uniquely identify the stream. If omitted, the service will generate a unique value. Changing this forces a new value to be created.
:param pulumi.Input[Sequence[pulumi.Input['LiveEventInputIpAccessControlAllowArgs']]] ip_access_control_allows: One or more `ip_access_control_allow` blocks as defined below.
:param pulumi.Input[str] key_frame_interval_duration: ISO 8601 time duration of the key frame interval duration of the input. This value sets the `EXT-X-TARGETDURATION` property in the HLS output. For example, use PT2S to indicate 2 seconds. This field cannot be set when `type` is set to `Encoding`.
:param pulumi.Input[str] streaming_protocol: The input protocol for the live event. Allowed values are `FragmentedMP4` and `RTMP`. Changing this forces a new resource to be created.
"""
if access_token is not None:
pulumi.set(__self__, "access_token", access_token)
if endpoints is not None:
pulumi.set(__self__, "endpoints", endpoints)
if ip_access_control_allows is not None:
pulumi.set(__self__, "ip_access_control_allows", ip_access_control_allows)
if key_frame_interval_duration is not None:
pulumi.set(__self__, "key_frame_interval_duration", key_frame_interval_duration)
if streaming_protocol is not None:
pulumi.set(__self__, "streaming_protocol", streaming_protocol)
@property
@pulumi.getter(name="accessToken")
def access_token(self) -> Optional[pulumi.Input[str]]:
"""
A UUID in string form to uniquely identify the stream. If omitted, the service will generate a unique value. Changing this forces a new value to be created.
"""
return pulumi.get(self, "access_token")
@access_token.setter
def access_token(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "access_token", value)
@property
@pulumi.getter
def endpoints(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['LiveEventInputEndpointArgs']]]]:
return pulumi.get(self, "endpoints")
@endpoints.setter
def endpoints(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['LiveEventInputEndpointArgs']]]]):
pulumi.set(self, "endpoints", value)
@property
@pulumi.getter(name="ipAccessControlAllows")
def ip_access_control_allows(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['LiveEventInputIpAccessControlAllowArgs']]]]:
"""
One or more `ip_access_control_allow` blocks as defined below.
"""
return pulumi.get(self, "ip_access_control_allows")
@ip_access_control_allows.setter
def ip_access_control_allows(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['LiveEventInputIpAccessControlAllowArgs']]]]):
pulumi.set(self, "ip_access_control_allows", value)
@property
@pulumi.getter(name="keyFrameIntervalDuration")
def key_frame_interval_duration(self) -> Optional[pulumi.Input[str]]:
"""
ISO 8601 time duration of the key frame interval duration of the input. This value sets the `EXT-X-TARGETDURATION` property in the HLS output. For example, use PT2S to indicate 2 seconds. This field cannot be set when `type` is set to `Encoding`.
"""
return pulumi.get(self, "key_frame_interval_duration")
@key_frame_interval_duration.setter
def key_frame_interval_duration(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "key_frame_interval_duration", value)
@property
@pulumi.getter(name="streamingProtocol")
def streaming_protocol(self) -> Optional[pulumi.Input[str]]:
"""
The input protocol for the live event. Allowed values are `FragmentedMP4` and `RTMP`. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "streaming_protocol")
@streaming_protocol.setter
def streaming_protocol(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "streaming_protocol", value)
@pulumi.input_type
class LiveEventInputEndpointArgs:
def __init__(__self__, *,
protocol: Optional[pulumi.Input[str]] = None,
url: Optional[pulumi.Input[str]] = None):
if protocol is not None:
pulumi.set(__self__, "protocol", protocol)
if url is not None:
pulumi.set(__self__, "url", url)
@property
@pulumi.getter
def protocol(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "protocol")
@protocol.setter
def protocol(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "protocol", value)
@property
@pulumi.getter
def url(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "url")
@url.setter
def url(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "url", value)
@pulumi.input_type
class LiveEventInputIpAccessControlAllowArgs:
def __init__(__self__, *,
address: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
subnet_prefix_length: Optional[pulumi.Input[int]] = None):
"""
:param pulumi.Input[str] address: The IP address or CIDR range.
:param pulumi.Input[str] name: The friendly name for the IP address range.
:param pulumi.Input[int] subnet_prefix_length: The subnet mask prefix length (see CIDR notation).
"""
if address is not None:
pulumi.set(__self__, "address", address)
if name is not None:
pulumi.set(__self__, "name", name)
if subnet_prefix_length is not None:
pulumi.set(__self__, "subnet_prefix_length", subnet_prefix_length)
@property
@pulumi.getter
def address(self) -> Optional[pulumi.Input[str]]:
"""
The IP address or CIDR range.
"""
return pulumi.get(self, "address")
@address.setter
def address(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "address", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
The friendly name for the IP address range.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter(name="subnetPrefixLength")
def subnet_prefix_length(self) -> Optional[pulumi.Input[int]]:
"""
The subnet mask prefix length (see CIDR notation).
"""
return pulumi.get(self, "subnet_prefix_length")
@subnet_prefix_length.setter
def subnet_prefix_length(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "subnet_prefix_length", value)
@pulumi.input_type
class LiveEventPreviewArgs:
def __init__(__self__, *,
alternative_media_id: Optional[pulumi.Input[str]] = None,
endpoints: Optional[pulumi.Input[Sequence[pulumi.Input['LiveEventPreviewEndpointArgs']]]] = None,
ip_access_control_allows: Optional[pulumi.Input[Sequence[pulumi.Input['LiveEventPreviewIpAccessControlAllowArgs']]]] = None,
preview_locator: Optional[pulumi.Input[str]] = None,
streaming_policy_name: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[str] alternative_media_id: An alternative media identifier associated with the streaming locator created for the preview. The identifier can be used in the `CustomLicenseAcquisitionUrlTemplate` or the `CustomKeyAcquisitionUrlTemplate` of the Streaming Policy specified in the `streaming_policy_name` field. Changing this forces a new resource to be created.
:param pulumi.Input[Sequence[pulumi.Input['LiveEventPreviewIpAccessControlAllowArgs']]] ip_access_control_allows: One or more `ip_access_control_allow` blocks as defined above.
:param pulumi.Input[str] preview_locator: The identifier of the preview locator in Guid format. Specifying this at creation time allows the caller to know the preview locator url before the event is created. If omitted, the service will generate a random identifier. Changing this forces a new resource to be created.
:param pulumi.Input[str] streaming_policy_name: The name of streaming policy used for the live event preview. Changing this forces a new resource to be created.
"""
if alternative_media_id is not None:
pulumi.set(__self__, "alternative_media_id", alternative_media_id)
if endpoints is not None:
pulumi.set(__self__, "endpoints", endpoints)
if ip_access_control_allows is not None:
pulumi.set(__self__, "ip_access_control_allows", ip_access_control_allows)
if preview_locator is not None:
pulumi.set(__self__, "preview_locator", preview_locator)
if streaming_policy_name is not None:
pulumi.set(__self__, "streaming_policy_name", streaming_policy_name)
@property
@pulumi.getter(name="alternativeMediaId")
def alternative_media_id(self) -> Optional[pulumi.Input[str]]:
"""
An alternative media identifier associated with the streaming locator created for the preview. The identifier can be used in the `CustomLicenseAcquisitionUrlTemplate` or the `CustomKeyAcquisitionUrlTemplate` of the Streaming Policy specified in the `streaming_policy_name` field. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "alternative_media_id")
@alternative_media_id.setter
def alternative_media_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "alternative_media_id", value)
@property
@pulumi.getter
def endpoints(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['LiveEventPreviewEndpointArgs']]]]:
return pulumi.get(self, "endpoints")
@endpoints.setter
def endpoints(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['LiveEventPreviewEndpointArgs']]]]):
pulumi.set(self, "endpoints", value)
@property
@pulumi.getter(name="ipAccessControlAllows")
def ip_access_control_allows(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['LiveEventPreviewIpAccessControlAllowArgs']]]]:
"""
One or more `ip_access_control_allow` blocks as defined above.
"""
return pulumi.get(self, "ip_access_control_allows")
@ip_access_control_allows.setter
def ip_access_control_allows(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['LiveEventPreviewIpAccessControlAllowArgs']]]]):
pulumi.set(self, "ip_access_control_allows", value)
@property
@pulumi.getter(name="previewLocator")
def preview_locator(self) -> Optional[pulumi.Input[str]]:
"""
The identifier of the preview locator in Guid format. Specifying this at creation time allows the caller to know the preview locator url before the event is created. If omitted, the service will generate a random identifier. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "preview_locator")
@preview_locator.setter
def preview_locator(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "preview_locator", value)
@property
@pulumi.getter(name="streamingPolicyName")
def streaming_policy_name(self) -> Optional[pulumi.Input[str]]:
"""
The name of streaming policy used for the live event preview. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "streaming_policy_name")
@streaming_policy_name.setter
def streaming_policy_name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "streaming_policy_name", value)
@pulumi.input_type
class LiveEventPreviewEndpointArgs:
def __init__(__self__, *,
protocol: Optional[pulumi.Input[str]] = None,
url: Optional[pulumi.Input[str]] = None):
if protocol is not None:
pulumi.set(__self__, "protocol", protocol)
if url is not None:
pulumi.set(__self__, "url", url)
@property
@pulumi.getter
def protocol(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "protocol")
@protocol.setter
def protocol(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "protocol", value)
@property
@pulumi.getter
def url(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "url")
@url.setter
def url(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "url", value)
@pulumi.input_type
class LiveEventPreviewIpAccessControlAllowArgs:
def __init__(__self__, *,
address: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
subnet_prefix_length: Optional[pulumi.Input[int]] = None):
"""
:param pulumi.Input[str] address: The IP address or CIDR range.
:param pulumi.Input[str] name: The friendly name for the IP address range.
:param pulumi.Input[int] subnet_prefix_length: The subnet mask prefix length (see CIDR notation).
"""
if address is not None:
pulumi.set(__self__, "address", address)
if name is not None:
pulumi.set(__self__, "name", name)
if subnet_prefix_length is not None:
pulumi.set(__self__, "subnet_prefix_length", subnet_prefix_length)
@property
@pulumi.getter
def address(self) -> Optional[pulumi.Input[str]]:
"""
The IP address or CIDR range.
"""
return pulumi.get(self, "address")
@address.setter
def address(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "address", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
The friendly name for the IP address range.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter(name="subnetPrefixLength")
def subnet_prefix_length(self) -> Optional[pulumi.Input[int]]:
"""
The subnet mask prefix length (see CIDR notation).
"""
return pulumi.get(self, "subnet_prefix_length")
@subnet_prefix_length.setter
def subnet_prefix_length(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "subnet_prefix_length", value)
@pulumi.input_type
class ServiceAccountIdentityArgs:
def __init__(__self__, *,
principal_id: Optional[pulumi.Input[str]] = None,
tenant_id: Optional[pulumi.Input[str]] = None,
type: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[str] principal_id: The Principal ID associated with this Managed Service Identity.
:param pulumi.Input[str] tenant_id: The Tenant ID associated with this Managed Service Identity.
:param pulumi.Input[str] type: Specifies the type of Managed Service Identity that should be configured on this Media Services Account. Possible value is `SystemAssigned`.
"""
if principal_id is not None:
pulumi.set(__self__, "principal_id", principal_id)
if tenant_id is not None:
pulumi.set(__self__, "tenant_id", tenant_id)
if type is not None:
pulumi.set(__self__, "type", type)
@property
@pulumi.getter(name="principalId")
def principal_id(self) -> Optional[pulumi.Input[str]]:
"""
The Principal ID associated with this Managed Service Identity.
"""
return pulumi.get(self, "principal_id")
@principal_id.setter
def principal_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "principal_id", value)
@property
@pulumi.getter(name="tenantId")
def tenant_id(self) -> Optional[pulumi.Input[str]]:
"""
The Tenant ID associated with this Managed Service Identity.
"""
return pulumi.get(self, "tenant_id")
@tenant_id.setter
def tenant_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "tenant_id", value)
@property
@pulumi.getter
def type(self) -> Optional[pulumi.Input[str]]:
"""
Specifies the type of Managed Service Identity that should be configured on this Media Services Account. Possible value is `SystemAssigned`.
"""
return pulumi.get(self, "type")
@type.setter
def type(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "type", value)
@pulumi.input_type
class ServiceAccountKeyDeliveryAccessControlArgs:
def __init__(__self__, *,
default_action: Optional[pulumi.Input[str]] = None,
ip_allow_lists: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None):
"""
:param pulumi.Input[str] default_action: The Default Action to use when no rules match from `ip_allow_list`. Possible values are `Allow` and `Deny`.
:param pulumi.Input[Sequence[pulumi.Input[str]]] ip_allow_lists: One or more IP Addresses, or CIDR Blocks which should be able to access the Key Delivery.
"""
if default_action is not None:
pulumi.set(__self__, "default_action", default_action)
if ip_allow_lists is not None:
pulumi.set(__self__, "ip_allow_lists", ip_allow_lists)
@property
@pulumi.getter(name="defaultAction")
def default_action(self) -> Optional[pulumi.Input[str]]:
"""
The Default Action to use when no rules match from `ip_allow_list`. Possible values are `Allow` and `Deny`.
"""
return pulumi.get(self, "default_action")
@default_action.setter
def default_action(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "default_action", value)
@property
@pulumi.getter(name="ipAllowLists")
def ip_allow_lists(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
One or more IP Addresses, or CIDR Blocks which should be able to access the Key Delivery.
"""
return pulumi.get(self, "ip_allow_lists")
@ip_allow_lists.setter
def ip_allow_lists(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "ip_allow_lists", value)
@pulumi.input_type
class ServiceAccountStorageAccountArgs:
def __init__(__self__, *,
id: pulumi.Input[str],
is_primary: Optional[pulumi.Input[bool]] = None):
"""
:param pulumi.Input[str] id: Specifies the ID of the Storage Account that will be associated with the Media Services instance.
:param pulumi.Input[bool] is_primary: Specifies whether the storage account should be the primary account or not. Defaults to `false`.
"""
pulumi.set(__self__, "id", id)
if is_primary is not None:
pulumi.set(__self__, "is_primary", is_primary)
@property
@pulumi.getter
def id(self) -> pulumi.Input[str]:
"""
Specifies the ID of the Storage Account that will be associated with the Media Services instance.
"""
return pulumi.get(self, "id")
@id.setter
def id(self, value: pulumi.Input[str]):
pulumi.set(self, "id", value)
@property
@pulumi.getter(name="isPrimary")
def is_primary(self) -> Optional[pulumi.Input[bool]]:
"""
Specifies whether the storage account should be the primary account or not. Defaults to `false`.
"""
return pulumi.get(self, "is_primary")
@is_primary.setter
def is_primary(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "is_primary", value)
@pulumi.input_type
class StreamingEndpointAccessControlArgs:
def __init__(__self__, *,
akamai_signature_header_authentication_keys: Optional[pulumi.Input[Sequence[pulumi.Input['StreamingEndpointAccessControlAkamaiSignatureHeaderAuthenticationKeyArgs']]]] = None,
ip_allows: Optional[pulumi.Input[Sequence[pulumi.Input['StreamingEndpointAccessControlIpAllowArgs']]]] = None):
"""
:param pulumi.Input[Sequence[pulumi.Input['StreamingEndpointAccessControlAkamaiSignatureHeaderAuthenticationKeyArgs']]] akamai_signature_header_authentication_keys: One or more `akamai_signature_header_authentication_key` blocks as defined below.
:param pulumi.Input[Sequence[pulumi.Input['StreamingEndpointAccessControlIpAllowArgs']]] ip_allows: A `ip` block as defined below.
"""
if akamai_signature_header_authentication_keys is not None:
pulumi.set(__self__, "akamai_signature_header_authentication_keys", akamai_signature_header_authentication_keys)
if ip_allows is not None:
pulumi.set(__self__, "ip_allows", ip_allows)
@property
@pulumi.getter(name="akamaiSignatureHeaderAuthenticationKeys")
def akamai_signature_header_authentication_keys(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['StreamingEndpointAccessControlAkamaiSignatureHeaderAuthenticationKeyArgs']]]]:
"""
One or more `akamai_signature_header_authentication_key` blocks as defined below.
"""
return pulumi.get(self, "akamai_signature_header_authentication_keys")
@akamai_signature_header_authentication_keys.setter
def akamai_signature_header_authentication_keys(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['StreamingEndpointAccessControlAkamaiSignatureHeaderAuthenticationKeyArgs']]]]):
pulumi.set(self, "akamai_signature_header_authentication_keys", value)
@property
@pulumi.getter(name="ipAllows")
def ip_allows(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['StreamingEndpointAccessControlIpAllowArgs']]]]:
"""
A `ip` block as defined below.
"""
return pulumi.get(self, "ip_allows")
@ip_allows.setter
def ip_allows(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['StreamingEndpointAccessControlIpAllowArgs']]]]):
pulumi.set(self, "ip_allows", value)
@pulumi.input_type
class StreamingEndpointAccessControlAkamaiSignatureHeaderAuthenticationKeyArgs:
def __init__(__self__, *,
base64_key: Optional[pulumi.Input[str]] = None,
expiration: Optional[pulumi.Input[str]] = None,
identifier: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[str] base64_key: Authentication key.
:param pulumi.Input[str] expiration: The expiration time of the authentication key.
:param pulumi.Input[str] identifier: Identifier of the key.
"""
if base64_key is not None:
pulumi.set(__self__, "base64_key", base64_key)
if expiration is not None:
pulumi.set(__self__, "expiration", expiration)
if identifier is not None:
pulumi.set(__self__, "identifier", identifier)
@property
@pulumi.getter(name="base64Key")
def base64_key(self) -> Optional[pulumi.Input[str]]:
"""
Authentication key.
"""
return pulumi.get(self, "base64_key")
@base64_key.setter
def base64_key(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "base64_key", value)
@property
@pulumi.getter
def expiration(self) -> Optional[pulumi.Input[str]]:
"""
The expiration time of the authentication key.
"""
return pulumi.get(self, "expiration")
@expiration.setter
def expiration(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "expiration", value)
@property
@pulumi.getter
def identifier(self) -> Optional[pulumi.Input[str]]:
"""
Identifier of the key.
"""
return pulumi.get(self, "identifier")
@identifier.setter
def identifier(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "identifier", value)
@pulumi.input_type
class StreamingEndpointAccessControlIpAllowArgs:
def __init__(__self__, *,
address: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
subnet_prefix_length: Optional[pulumi.Input[int]] = None):
"""
:param pulumi.Input[str] address: The IP address to allow.
:param pulumi.Input[str] name: The friendly name for the IP address range.
:param pulumi.Input[int] subnet_prefix_length: The subnet mask prefix length (see CIDR notation).
"""
if address is not None:
pulumi.set(__self__, "address", address)
if name is not None:
pulumi.set(__self__, "name", name)
if subnet_prefix_length is not None:
pulumi.set(__self__, "subnet_prefix_length", subnet_prefix_length)
@property
@pulumi.getter
def address(self) -> Optional[pulumi.Input[str]]:
"""
The IP address to allow.
"""
return pulumi.get(self, "address")
@address.setter
def address(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "address", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
The friendly name for the IP address range.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter(name="subnetPrefixLength")
def subnet_prefix_length(self) -> Optional[pulumi.Input[int]]:
"""
The subnet mask prefix length (see CIDR notation).
"""
return pulumi.get(self, "subnet_prefix_length")
@subnet_prefix_length.setter
def subnet_prefix_length(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "subnet_prefix_length", value)
@pulumi.input_type
class StreamingEndpointCrossSiteAccessPolicyArgs:
def __init__(__self__, *,
client_access_policy: Optional[pulumi.Input[str]] = None,
cross_domain_policy: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[str] client_access_policy: The content of clientaccesspolicy.xml used by Silverlight.
:param pulumi.Input[str] cross_domain_policy: The content of crossdomain.xml used by Silverlight.
"""
if client_access_policy is not None:
pulumi.set(__self__, "client_access_policy", client_access_policy)
if cross_domain_policy is not None:
pulumi.set(__self__, "cross_domain_policy", cross_domain_policy)
@property
@pulumi.getter(name="clientAccessPolicy")
def client_access_policy(self) -> Optional[pulumi.Input[str]]:
"""
The content of clientaccesspolicy.xml used by Silverlight.
"""
return pulumi.get(self, "client_access_policy")
@client_access_policy.setter
def client_access_policy(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "client_access_policy", value)
@property
@pulumi.getter(name="crossDomainPolicy")
def cross_domain_policy(self) -> Optional[pulumi.Input[str]]:
"""
The content of crossdomain.xml used by Silverlight.
"""
return pulumi.get(self, "cross_domain_policy")
@cross_domain_policy.setter
def cross_domain_policy(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "cross_domain_policy", value)
@pulumi.input_type
class StreamingLocatorContentKeyArgs:
def __init__(__self__, *,
content_key_id: Optional[pulumi.Input[str]] = None,
label_reference_in_streaming_policy: Optional[pulumi.Input[str]] = None,
policy_name: Optional[pulumi.Input[str]] = None,
type: Optional[pulumi.Input[str]] = None,
value: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[str] content_key_id: ID of Content Key. Changing this forces a new Streaming Locator to be created.
:param pulumi.Input[str] label_reference_in_streaming_policy: Label of Content Key as specified in the Streaming Policy. Changing this forces a new Streaming Locator to be created.
:param pulumi.Input[str] policy_name: Content Key Policy used by Content Key. Changing this forces a new Streaming Locator to be created.
:param pulumi.Input[str] type: Encryption type of Content Key. Supported values are `CommonEncryptionCbcs`, `CommonEncryptionCenc` or `EnvelopeEncryption`. Changing this forces a new Streaming Locator to be created.
:param pulumi.Input[str] value: Value of Content Key. Changing this forces a new Streaming Locator to be created.
"""
if content_key_id is not None:
pulumi.set(__self__, "content_key_id", content_key_id)
if label_reference_in_streaming_policy is not None:
pulumi.set(__self__, "label_reference_in_streaming_policy", label_reference_in_streaming_policy)
if policy_name is not None:
pulumi.set(__self__, "policy_name", policy_name)
if type is not None:
pulumi.set(__self__, "type", type)
if value is not None:
pulumi.set(__self__, "value", value)
@property
@pulumi.getter(name="contentKeyId")
def content_key_id(self) -> Optional[pulumi.Input[str]]:
"""
ID of Content Key. Changing this forces a new Streaming Locator to be created.
"""
return pulumi.get(self, "content_key_id")
@content_key_id.setter
def content_key_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "content_key_id", value)
@property
@pulumi.getter(name="labelReferenceInStreamingPolicy")
def label_reference_in_streaming_policy(self) -> Optional[pulumi.Input[str]]:
"""
Label of Content Key as specified in the Streaming Policy. Changing this forces a new Streaming Locator to be created.
"""
return pulumi.get(self, "label_reference_in_streaming_policy")
@label_reference_in_streaming_policy.setter
def label_reference_in_streaming_policy(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "label_reference_in_streaming_policy", value)
@property
@pulumi.getter(name="policyName")
def policy_name(self) -> Optional[pulumi.Input[str]]:
"""
Content Key Policy used by Content Key. Changing this forces a new Streaming Locator to be created.
"""
return pulumi.get(self, "policy_name")
@policy_name.setter
def policy_name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "policy_name", value)
@property
@pulumi.getter
def type(self) -> Optional[pulumi.Input[str]]:
"""
Encryption type of Content Key. Supported values are `CommonEncryptionCbcs`, `CommonEncryptionCenc` or `EnvelopeEncryption`. Changing this forces a new Streaming Locator to be created.
"""
return pulumi.get(self, "type")
@type.setter
def type(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "type", value)
@property
@pulumi.getter
def value(self) -> Optional[pulumi.Input[str]]:
"""
Value of Content Key. Changing this forces a new Streaming Locator to be created.
"""
return pulumi.get(self, "value")
@value.setter
def value(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "value", value)
@pulumi.input_type
class StreamingPolicyCommonEncryptionCbcsArgs:
def __init__(__self__, *,
default_content_key: Optional[pulumi.Input['StreamingPolicyCommonEncryptionCbcsDefaultContentKeyArgs']] = None,
drm_fairplay: Optional[pulumi.Input['StreamingPolicyCommonEncryptionCbcsDrmFairplayArgs']] = None,
enabled_protocols: Optional[pulumi.Input['StreamingPolicyCommonEncryptionCbcsEnabledProtocolsArgs']] = None):
"""
:param pulumi.Input['StreamingPolicyCommonEncryptionCbcsDefaultContentKeyArgs'] default_content_key: A `default_content_key` block as defined below. Changing this forces a new Streaming Policy to be created.
:param pulumi.Input['StreamingPolicyCommonEncryptionCbcsDrmFairplayArgs'] drm_fairplay: A `drm_fairplay` block as defined below. Changing this forces a new Streaming Policy to be created.
:param pulumi.Input['StreamingPolicyCommonEncryptionCbcsEnabledProtocolsArgs'] enabled_protocols: A `enabled_protocols` block as defined below. Changing this forces a new Streaming Policy to be created.
"""
if default_content_key is not None:
pulumi.set(__self__, "default_content_key", default_content_key)
if drm_fairplay is not None:
pulumi.set(__self__, "drm_fairplay", drm_fairplay)
if enabled_protocols is not None:
pulumi.set(__self__, "enabled_protocols", enabled_protocols)
@property
@pulumi.getter(name="defaultContentKey")
def default_content_key(self) -> Optional[pulumi.Input['StreamingPolicyCommonEncryptionCbcsDefaultContentKeyArgs']]:
"""
A `default_content_key` block as defined below. Changing this forces a new Streaming Policy to be created.
"""
return pulumi.get(self, "default_content_key")
@default_content_key.setter
def default_content_key(self, value: Optional[pulumi.Input['StreamingPolicyCommonEncryptionCbcsDefaultContentKeyArgs']]):
pulumi.set(self, "default_content_key", value)
@property
@pulumi.getter(name="drmFairplay")
def drm_fairplay(self) -> Optional[pulumi.Input['StreamingPolicyCommonEncryptionCbcsDrmFairplayArgs']]:
"""
A `drm_fairplay` block as defined below. Changing this forces a new Streaming Policy to be created.
"""
return pulumi.get(self, "drm_fairplay")
@drm_fairplay.setter
def drm_fairplay(self, value: Optional[pulumi.Input['StreamingPolicyCommonEncryptionCbcsDrmFairplayArgs']]):
pulumi.set(self, "drm_fairplay", value)
@property
@pulumi.getter(name="enabledProtocols")
def enabled_protocols(self) -> Optional[pulumi.Input['StreamingPolicyCommonEncryptionCbcsEnabledProtocolsArgs']]:
"""
A `enabled_protocols` block as defined below. Changing this forces a new Streaming Policy to be created.
"""
return pulumi.get(self, "enabled_protocols")
@enabled_protocols.setter
def enabled_protocols(self, value: Optional[pulumi.Input['StreamingPolicyCommonEncryptionCbcsEnabledProtocolsArgs']]):
pulumi.set(self, "enabled_protocols", value)
@pulumi.input_type
class StreamingPolicyCommonEncryptionCbcsDefaultContentKeyArgs:
def __init__(__self__, *,
label: Optional[pulumi.Input[str]] = None,
policy_name: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[str] label: Label can be used to specify Content Key when creating a Streaming Locator. Changing this forces a new Streaming Policy to be created.
:param pulumi.Input[str] policy_name: Policy used by Default Key. Changing this forces a new Streaming Policy to be created.
"""
if label is not None:
pulumi.set(__self__, "label", label)
if policy_name is not None:
pulumi.set(__self__, "policy_name", policy_name)
@property
@pulumi.getter
def label(self) -> Optional[pulumi.Input[str]]:
"""
Label can be used to specify Content Key when creating a Streaming Locator. Changing this forces a new Streaming Policy to be created.
"""
return pulumi.get(self, "label")
@label.setter
def label(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "label", value)
@property
@pulumi.getter(name="policyName")
def policy_name(self) -> Optional[pulumi.Input[str]]:
"""
Policy used by Default Key. Changing this forces a new Streaming Policy to be created.
"""
return pulumi.get(self, "policy_name")
@policy_name.setter
def policy_name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "policy_name", value)
@pulumi.input_type
class StreamingPolicyCommonEncryptionCbcsDrmFairplayArgs:
def __init__(__self__, *,
allow_persistent_license: Optional[pulumi.Input[bool]] = None,
custom_license_acquisition_url_template: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[bool] allow_persistent_license: All license to be persistent or not. Changing this forces a new Streaming Policy to be created.
:param pulumi.Input[str] custom_license_acquisition_url_template: Template for the URL of the custom service delivering licenses to end user players. Not required when using Azure Media Services for issuing licenses. The template supports replaceable tokens that the service will update at runtime with the value specific to the request. The currently supported token values are `{AlternativeMediaId}`, which is replaced with the value of `StreamingLocatorId.AlternativeMediaId`, and `{ContentKeyId}`, which is replaced with the value of identifier of the key being requested. Changing this forces a new Streaming Policy to be created.
"""
if allow_persistent_license is not None:
pulumi.set(__self__, "allow_persistent_license", allow_persistent_license)
if custom_license_acquisition_url_template is not None:
pulumi.set(__self__, "custom_license_acquisition_url_template", custom_license_acquisition_url_template)
@property
@pulumi.getter(name="allowPersistentLicense")
def allow_persistent_license(self) -> Optional[pulumi.Input[bool]]:
"""
All license to be persistent or not. Changing this forces a new Streaming Policy to be created.
"""
return pulumi.get(self, "allow_persistent_license")
@allow_persistent_license.setter
def allow_persistent_license(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "allow_persistent_license", value)
@property
@pulumi.getter(name="customLicenseAcquisitionUrlTemplate")
def custom_license_acquisition_url_template(self) -> Optional[pulumi.Input[str]]:
"""
Template for the URL of the custom service delivering licenses to end user players. Not required when using Azure Media Services for issuing licenses. The template supports replaceable tokens that the service will update at runtime with the value specific to the request. The currently supported token values are `{AlternativeMediaId}`, which is replaced with the value of `StreamingLocatorId.AlternativeMediaId`, and `{ContentKeyId}`, which is replaced with the value of identifier of the key being requested. Changing this forces a new Streaming Policy to be created.
"""
return pulumi.get(self, "custom_license_acquisition_url_template")
@custom_license_acquisition_url_template.setter
def custom_license_acquisition_url_template(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "custom_license_acquisition_url_template", value)
@pulumi.input_type
class StreamingPolicyCommonEncryptionCbcsEnabledProtocolsArgs:
def __init__(__self__, *,
dash: Optional[pulumi.Input[bool]] = None,
download: Optional[pulumi.Input[bool]] = None,
hls: Optional[pulumi.Input[bool]] = None,
smooth_streaming: Optional[pulumi.Input[bool]] = None):
"""
:param pulumi.Input[bool] dash: Enable DASH protocol or not. Changing this forces a new Streaming Policy to be created.
:param pulumi.Input[bool] download: Enable Download protocol or not. Changing this forces a new Streaming Policy to be created.
:param pulumi.Input[bool] hls: Enable HLS protocol or not. Changing this forces a new Streaming Policy to be created.
:param pulumi.Input[bool] smooth_streaming: Enable SmoothStreaming protocol or not. Changing this forces a new Streaming Policy to be created.
"""
if dash is not None:
pulumi.set(__self__, "dash", dash)
if download is not None:
pulumi.set(__self__, "download", download)
if hls is not None:
pulumi.set(__self__, "hls", hls)
if smooth_streaming is not None:
pulumi.set(__self__, "smooth_streaming", smooth_streaming)
@property
@pulumi.getter
def dash(self) -> Optional[pulumi.Input[bool]]:
"""
Enable DASH protocol or not. Changing this forces a new Streaming Policy to be created.
"""
return pulumi.get(self, "dash")
@dash.setter
def dash(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "dash", value)
@property
@pulumi.getter
def download(self) -> Optional[pulumi.Input[bool]]:
"""
Enable Download protocol or not. Changing this forces a new Streaming Policy to be created.
"""
return pulumi.get(self, "download")
@download.setter
def download(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "download", value)
@property
@pulumi.getter
def hls(self) -> Optional[pulumi.Input[bool]]:
"""
Enable HLS protocol or not. Changing this forces a new Streaming Policy to be created.
"""
return pulumi.get(self, "hls")
@hls.setter
def hls(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "hls", value)
@property
@pulumi.getter(name="smoothStreaming")
def smooth_streaming(self) -> Optional[pulumi.Input[bool]]:
"""
Enable SmoothStreaming protocol or not. Changing this forces a new Streaming Policy to be created.
"""
return pulumi.get(self, "smooth_streaming")
@smooth_streaming.setter
def smooth_streaming(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "smooth_streaming", value)
@pulumi.input_type
class StreamingPolicyCommonEncryptionCencArgs:
def __init__(__self__, *,
default_content_key: Optional[pulumi.Input['StreamingPolicyCommonEncryptionCencDefaultContentKeyArgs']] = None,
drm_playready: Optional[pulumi.Input['StreamingPolicyCommonEncryptionCencDrmPlayreadyArgs']] = None,
drm_widevine_custom_license_acquisition_url_template: Optional[pulumi.Input[str]] = None,
enabled_protocols: Optional[pulumi.Input['StreamingPolicyCommonEncryptionCencEnabledProtocolsArgs']] = None):
"""
:param pulumi.Input['StreamingPolicyCommonEncryptionCencDefaultContentKeyArgs'] default_content_key: A `default_content_key` block as defined below. Changing this forces a new Streaming Policy to be created.
:param pulumi.Input['StreamingPolicyCommonEncryptionCencDrmPlayreadyArgs'] drm_playready: A `drm_playready` block as defined below. Changing this forces a new Streaming Policy to be created.
:param pulumi.Input[str] drm_widevine_custom_license_acquisition_url_template: Template for the URL of the custom service delivering licenses to end user players. Not required when using Azure Media Services for issuing licenses. The template supports replaceable tokens that the service will update at runtime with the value specific to the request. The currently supported token values are `{AlternativeMediaId}`, which is replaced with the value of `StreamingLocatorId.AlternativeMediaId`, and `{ContentKeyId}`, which is replaced with the value of identifier of the key being requested. Changing this forces a new Streaming Policy to be created.
:param pulumi.Input['StreamingPolicyCommonEncryptionCencEnabledProtocolsArgs'] enabled_protocols: A `enabled_protocols` block as defined below. Changing this forces a new Streaming Policy to be created.
"""
if default_content_key is not None:
pulumi.set(__self__, "default_content_key", default_content_key)
if drm_playready is not None:
pulumi.set(__self__, "drm_playready", drm_playready)
if drm_widevine_custom_license_acquisition_url_template is not None:
pulumi.set(__self__, "drm_widevine_custom_license_acquisition_url_template", drm_widevine_custom_license_acquisition_url_template)
if enabled_protocols is not None:
pulumi.set(__self__, "enabled_protocols", enabled_protocols)
@property
@pulumi.getter(name="defaultContentKey")
def default_content_key(self) -> Optional[pulumi.Input['StreamingPolicyCommonEncryptionCencDefaultContentKeyArgs']]:
"""
A `default_content_key` block as defined below. Changing this forces a new Streaming Policy to be created.
"""
return pulumi.get(self, "default_content_key")
@default_content_key.setter
def default_content_key(self, value: Optional[pulumi.Input['StreamingPolicyCommonEncryptionCencDefaultContentKeyArgs']]):
pulumi.set(self, "default_content_key", value)
@property
@pulumi.getter(name="drmPlayready")
def drm_playready(self) -> Optional[pulumi.Input['StreamingPolicyCommonEncryptionCencDrmPlayreadyArgs']]:
"""
A `drm_playready` block as defined below. Changing this forces a new Streaming Policy to be created.
"""
return pulumi.get(self, "drm_playready")
@drm_playready.setter
def drm_playready(self, value: Optional[pulumi.Input['StreamingPolicyCommonEncryptionCencDrmPlayreadyArgs']]):
pulumi.set(self, "drm_playready", value)
@property
@pulumi.getter(name="drmWidevineCustomLicenseAcquisitionUrlTemplate")
def drm_widevine_custom_license_acquisition_url_template(self) -> Optional[pulumi.Input[str]]:
"""
Template for the URL of the custom service delivering licenses to end user players. Not required when using Azure Media Services for issuing licenses. The template supports replaceable tokens that the service will update at runtime with the value specific to the request. The currently supported token values are `{AlternativeMediaId}`, which is replaced with the value of `StreamingLocatorId.AlternativeMediaId`, and `{ContentKeyId}`, which is replaced with the value of identifier of the key being requested. Changing this forces a new Streaming Policy to be created.
"""
return pulumi.get(self, "drm_widevine_custom_license_acquisition_url_template")
@drm_widevine_custom_license_acquisition_url_template.setter
def drm_widevine_custom_license_acquisition_url_template(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "drm_widevine_custom_license_acquisition_url_template", value)
@property
@pulumi.getter(name="enabledProtocols")
def enabled_protocols(self) -> Optional[pulumi.Input['StreamingPolicyCommonEncryptionCencEnabledProtocolsArgs']]:
"""
A `enabled_protocols` block as defined below. Changing this forces a new Streaming Policy to be created.
"""
return pulumi.get(self, "enabled_protocols")
@enabled_protocols.setter
def enabled_protocols(self, value: Optional[pulumi.Input['StreamingPolicyCommonEncryptionCencEnabledProtocolsArgs']]):
pulumi.set(self, "enabled_protocols", value)
@pulumi.input_type
class StreamingPolicyCommonEncryptionCencDefaultContentKeyArgs:
def __init__(__self__, *,
label: Optional[pulumi.Input[str]] = None,
policy_name: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[str] label: Label can be used to specify Content Key when creating a Streaming Locator. Changing this forces a new Streaming Policy to be created.
:param pulumi.Input[str] policy_name: Policy used by Default Key. Changing this forces a new Streaming Policy to be created.
"""
if label is not None:
pulumi.set(__self__, "label", label)
if policy_name is not None:
pulumi.set(__self__, "policy_name", policy_name)
@property
@pulumi.getter
def label(self) -> Optional[pulumi.Input[str]]:
"""
Label can be used to specify Content Key when creating a Streaming Locator. Changing this forces a new Streaming Policy to be created.
"""
return pulumi.get(self, "label")
@label.setter
def label(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "label", value)
@property
@pulumi.getter(name="policyName")
def policy_name(self) -> Optional[pulumi.Input[str]]:
"""
Policy used by Default Key. Changing this forces a new Streaming Policy to be created.
"""
return pulumi.get(self, "policy_name")
@policy_name.setter
def policy_name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "policy_name", value)
@pulumi.input_type
class StreamingPolicyCommonEncryptionCencDrmPlayreadyArgs:
def __init__(__self__, *,
custom_attributes: Optional[pulumi.Input[str]] = None,
custom_license_acquisition_url_template: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[str] custom_attributes: Custom attributes for PlayReady. Changing this forces a new Streaming Policy to be created.
:param pulumi.Input[str] custom_license_acquisition_url_template: Template for the URL of the custom service delivering licenses to end user players. Not required when using Azure Media Services for issuing licenses. The template supports replaceable tokens that the service will update at runtime with the value specific to the request. The currently supported token values are `{AlternativeMediaId}`, which is replaced with the value of `StreamingLocatorId.AlternativeMediaId`, and `{ContentKeyId}`, which is replaced with the value of identifier of the key being requested. Changing this forces a new Streaming Policy to be created.
"""
if custom_attributes is not None:
pulumi.set(__self__, "custom_attributes", custom_attributes)
if custom_license_acquisition_url_template is not None:
pulumi.set(__self__, "custom_license_acquisition_url_template", custom_license_acquisition_url_template)
@property
@pulumi.getter(name="customAttributes")
def custom_attributes(self) -> Optional[pulumi.Input[str]]:
"""
Custom attributes for PlayReady. Changing this forces a new Streaming Policy to be created.
"""
return pulumi.get(self, "custom_attributes")
@custom_attributes.setter
def custom_attributes(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "custom_attributes", value)
@property
@pulumi.getter(name="customLicenseAcquisitionUrlTemplate")
def custom_license_acquisition_url_template(self) -> Optional[pulumi.Input[str]]:
"""
Template for the URL of the custom service delivering licenses to end user players. Not required when using Azure Media Services for issuing licenses. The template supports replaceable tokens that the service will update at runtime with the value specific to the request. The currently supported token values are `{AlternativeMediaId}`, which is replaced with the value of `StreamingLocatorId.AlternativeMediaId`, and `{ContentKeyId}`, which is replaced with the value of identifier of the key being requested. Changing this forces a new Streaming Policy to be created.
"""
return pulumi.get(self, "custom_license_acquisition_url_template")
@custom_license_acquisition_url_template.setter
def custom_license_acquisition_url_template(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "custom_license_acquisition_url_template", value)
@pulumi.input_type
class StreamingPolicyCommonEncryptionCencEnabledProtocolsArgs:
def __init__(__self__, *,
dash: Optional[pulumi.Input[bool]] = None,
download: Optional[pulumi.Input[bool]] = None,
hls: Optional[pulumi.Input[bool]] = None,
smooth_streaming: Optional[pulumi.Input[bool]] = None):
"""
:param pulumi.Input[bool] dash: Enable DASH protocol or not. Changing this forces a new Streaming Policy to be created.
:param pulumi.Input[bool] download: Enable Download protocol or not. Changing this forces a new Streaming Policy to be created.
:param pulumi.Input[bool] hls: Enable HLS protocol or not. Changing this forces a new Streaming Policy to be created.
:param pulumi.Input[bool] smooth_streaming: Enable SmoothStreaming protocol or not. Changing this forces a new Streaming Policy to be created.
"""
if dash is not None:
pulumi.set(__self__, "dash", dash)
if download is not None:
pulumi.set(__self__, "download", download)
if hls is not None:
pulumi.set(__self__, "hls", hls)
if smooth_streaming is not None:
pulumi.set(__self__, "smooth_streaming", smooth_streaming)
@property
@pulumi.getter
def dash(self) -> Optional[pulumi.Input[bool]]:
"""
Enable DASH protocol or not. Changing this forces a new Streaming Policy to be created.
"""
return pulumi.get(self, "dash")
@dash.setter
def dash(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "dash", value)
@property
@pulumi.getter
def download(self) -> Optional[pulumi.Input[bool]]:
"""
Enable Download protocol or not. Changing this forces a new Streaming Policy to be created.
"""
return pulumi.get(self, "download")
@download.setter
def download(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "download", value)
@property
@pulumi.getter
def hls(self) -> Optional[pulumi.Input[bool]]:
"""
Enable HLS protocol or not. Changing this forces a new Streaming Policy to be created.
"""
return pulumi.get(self, "hls")
@hls.setter
def hls(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "hls", value)
@property
@pulumi.getter(name="smoothStreaming")
def smooth_streaming(self) -> Optional[pulumi.Input[bool]]:
"""
Enable SmoothStreaming protocol or not. Changing this forces a new Streaming Policy to be created.
"""
return pulumi.get(self, "smooth_streaming")
@smooth_streaming.setter
def smooth_streaming(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "smooth_streaming", value)
@pulumi.input_type
class StreamingPolicyNoEncryptionEnabledProtocolsArgs:
def __init__(__self__, *,
dash: Optional[pulumi.Input[bool]] = None,
download: Optional[pulumi.Input[bool]] = None,
hls: Optional[pulumi.Input[bool]] = None,
smooth_streaming: Optional[pulumi.Input[bool]] = None):
"""
:param pulumi.Input[bool] dash: Enable DASH protocol or not. Changing this forces a new Streaming Policy to be created.
:param pulumi.Input[bool] download: Enable Download protocol or not. Changing this forces a new Streaming Policy to be created.
:param pulumi.Input[bool] hls: Enable HLS protocol or not. Changing this forces a new Streaming Policy to be created.
:param pulumi.Input[bool] smooth_streaming: Enable SmoothStreaming protocol or not. Changing this forces a new Streaming Policy to be created.
"""
if dash is not None:
pulumi.set(__self__, "dash", dash)
if download is not None:
pulumi.set(__self__, "download", download)
if hls is not None:
pulumi.set(__self__, "hls", hls)
if smooth_streaming is not None:
pulumi.set(__self__, "smooth_streaming", smooth_streaming)
@property
@pulumi.getter
def dash(self) -> Optional[pulumi.Input[bool]]:
"""
Enable DASH protocol or not. Changing this forces a new Streaming Policy to be created.
"""
return pulumi.get(self, "dash")
@dash.setter
def dash(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "dash", value)
@property
@pulumi.getter
def download(self) -> Optional[pulumi.Input[bool]]:
"""
Enable Download protocol or not. Changing this forces a new Streaming Policy to be created.
"""
return pulumi.get(self, "download")
@download.setter
def download(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "download", value)
@property
@pulumi.getter
def hls(self) -> Optional[pulumi.Input[bool]]:
"""
Enable HLS protocol or not. Changing this forces a new Streaming Policy to be created.
"""
return pulumi.get(self, "hls")
@hls.setter
def hls(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "hls", value)
@property
@pulumi.getter(name="smoothStreaming")
def smooth_streaming(self) -> Optional[pulumi.Input[bool]]:
"""
Enable SmoothStreaming protocol or not. Changing this forces a new Streaming Policy to be created.
"""
return pulumi.get(self, "smooth_streaming")
@smooth_streaming.setter
def smooth_streaming(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "smooth_streaming", value)
@pulumi.input_type
class TransformOutputArgs:
def __init__(__self__, *,
audio_analyzer_preset: Optional[pulumi.Input['TransformOutputAudioAnalyzerPresetArgs']] = None,
builtin_preset: Optional[pulumi.Input['TransformOutputBuiltinPresetArgs']] = None,
face_detector_preset: Optional[pulumi.Input['TransformOutputFaceDetectorPresetArgs']] = None,
on_error_action: Optional[pulumi.Input[str]] = None,
relative_priority: Optional[pulumi.Input[str]] = None,
video_analyzer_preset: Optional[pulumi.Input['TransformOutputVideoAnalyzerPresetArgs']] = None):
"""
:param pulumi.Input['TransformOutputAudioAnalyzerPresetArgs'] audio_analyzer_preset: A `audio_analyzer_preset` block as defined below.
:param pulumi.Input['TransformOutputBuiltinPresetArgs'] builtin_preset: A `builtin_preset` block as defined below.
:param pulumi.Input['TransformOutputFaceDetectorPresetArgs'] face_detector_preset: A `face_detector_preset` block as defined below.
:param pulumi.Input[str] on_error_action: A Transform can define more than one outputs. This property defines what the service should do when one output fails - either continue to produce other outputs, or, stop the other outputs. The overall Job state will not reflect failures of outputs that are specified with `ContinueJob`. Possibles value are `StopProcessingJob` or `ContinueJob`.
:param pulumi.Input[str] relative_priority: Sets the relative priority of the TransformOutputs within a Transform. This sets the priority that the service uses for processing Transform Outputs. Possibles value are `High`, `Normal` or `Low`.
:param pulumi.Input['TransformOutputVideoAnalyzerPresetArgs'] video_analyzer_preset: A `video_analyzer_preset` block as defined below.
"""
if audio_analyzer_preset is not None:
pulumi.set(__self__, "audio_analyzer_preset", audio_analyzer_preset)
if builtin_preset is not None:
pulumi.set(__self__, "builtin_preset", builtin_preset)
if face_detector_preset is not None:
pulumi.set(__self__, "face_detector_preset", face_detector_preset)
if on_error_action is not None:
pulumi.set(__self__, "on_error_action", on_error_action)
if relative_priority is not None:
pulumi.set(__self__, "relative_priority", relative_priority)
if video_analyzer_preset is not None:
pulumi.set(__self__, "video_analyzer_preset", video_analyzer_preset)
@property
@pulumi.getter(name="audioAnalyzerPreset")
def audio_analyzer_preset(self) -> Optional[pulumi.Input['TransformOutputAudioAnalyzerPresetArgs']]:
"""
A `audio_analyzer_preset` block as defined below.
"""
return pulumi.get(self, "audio_analyzer_preset")
@audio_analyzer_preset.setter
def audio_analyzer_preset(self, value: Optional[pulumi.Input['TransformOutputAudioAnalyzerPresetArgs']]):
pulumi.set(self, "audio_analyzer_preset", value)
@property
@pulumi.getter(name="builtinPreset")
def builtin_preset(self) -> Optional[pulumi.Input['TransformOutputBuiltinPresetArgs']]:
"""
A `builtin_preset` block as defined below.
"""
return pulumi.get(self, "builtin_preset")
@builtin_preset.setter
def builtin_preset(self, value: Optional[pulumi.Input['TransformOutputBuiltinPresetArgs']]):
pulumi.set(self, "builtin_preset", value)
@property
@pulumi.getter(name="faceDetectorPreset")
def face_detector_preset(self) -> Optional[pulumi.Input['TransformOutputFaceDetectorPresetArgs']]:
"""
A `face_detector_preset` block as defined below.
"""
return pulumi.get(self, "face_detector_preset")
@face_detector_preset.setter
def face_detector_preset(self, value: Optional[pulumi.Input['TransformOutputFaceDetectorPresetArgs']]):
pulumi.set(self, "face_detector_preset", value)
@property
@pulumi.getter(name="onErrorAction")
def on_error_action(self) -> Optional[pulumi.Input[str]]:
"""
A Transform can define more than one outputs. This property defines what the service should do when one output fails - either continue to produce other outputs, or, stop the other outputs. The overall Job state will not reflect failures of outputs that are specified with `ContinueJob`. Possibles value are `StopProcessingJob` or `ContinueJob`.
"""
return pulumi.get(self, "on_error_action")
@on_error_action.setter
def on_error_action(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "on_error_action", value)
@property
@pulumi.getter(name="relativePriority")
def relative_priority(self) -> Optional[pulumi.Input[str]]:
"""
Sets the relative priority of the TransformOutputs within a Transform. This sets the priority that the service uses for processing Transform Outputs. Possibles value are `High`, `Normal` or `Low`.
"""
return pulumi.get(self, "relative_priority")
@relative_priority.setter
def relative_priority(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "relative_priority", value)
@property
@pulumi.getter(name="videoAnalyzerPreset")
def video_analyzer_preset(self) -> Optional[pulumi.Input['TransformOutputVideoAnalyzerPresetArgs']]:
"""
A `video_analyzer_preset` block as defined below.
"""
return pulumi.get(self, "video_analyzer_preset")
@video_analyzer_preset.setter
def video_analyzer_preset(self, value: Optional[pulumi.Input['TransformOutputVideoAnalyzerPresetArgs']]):
pulumi.set(self, "video_analyzer_preset", value)
@pulumi.input_type
class TransformOutputAudioAnalyzerPresetArgs:
def __init__(__self__, *,
audio_analysis_mode: Optional[pulumi.Input[str]] = None,
audio_language: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[str] audio_analysis_mode: Possibles value are `Basic` or `Standard`. Determines the set of audio analysis operations to be performed.
:param pulumi.Input[str] audio_language: The language for the audio payload in the input using the BCP-47 format of 'language tag-region' (e.g: 'en-US'). If you know the language of your content, it is recommended that you specify it. The language must be specified explicitly for AudioAnalysisMode:Basic, since automatic language detection is not included in basic mode. If the language isn't specified, automatic language detection will choose the first language detected and process with the selected language for the duration of the file. It does not currently support dynamically switching between languages after the first language is detected. The automatic detection works best with audio recordings with clearly discernible speech. If automatic detection fails to find the language, transcription would fallback to 'en-US'." The list of supported languages is available here: https://go.microsoft.com/fwlink/?linkid=2109463.
"""
if audio_analysis_mode is not None:
pulumi.set(__self__, "audio_analysis_mode", audio_analysis_mode)
if audio_language is not None:
pulumi.set(__self__, "audio_language", audio_language)
@property
@pulumi.getter(name="audioAnalysisMode")
def audio_analysis_mode(self) -> Optional[pulumi.Input[str]]:
"""
Possibles value are `Basic` or `Standard`. Determines the set of audio analysis operations to be performed.
"""
return pulumi.get(self, "audio_analysis_mode")
@audio_analysis_mode.setter
def audio_analysis_mode(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "audio_analysis_mode", value)
@property
@pulumi.getter(name="audioLanguage")
def audio_language(self) -> Optional[pulumi.Input[str]]:
"""
The language for the audio payload in the input using the BCP-47 format of 'language tag-region' (e.g: 'en-US'). If you know the language of your content, it is recommended that you specify it. The language must be specified explicitly for AudioAnalysisMode:Basic, since automatic language detection is not included in basic mode. If the language isn't specified, automatic language detection will choose the first language detected and process with the selected language for the duration of the file. It does not currently support dynamically switching between languages after the first language is detected. The automatic detection works best with audio recordings with clearly discernible speech. If automatic detection fails to find the language, transcription would fallback to 'en-US'." The list of supported languages is available here: https://go.microsoft.com/fwlink/?linkid=2109463.
"""
return pulumi.get(self, "audio_language")
@audio_language.setter
def audio_language(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "audio_language", value)
@pulumi.input_type
class TransformOutputBuiltinPresetArgs:
def __init__(__self__, *,
preset_name: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[str] preset_name: The built-in preset to be used for encoding videos. The allowed values are `AACGoodQualityAudio`, `AdaptiveStreaming`,`ContentAwareEncoding`, `ContentAwareEncodingExperimental`,`CopyAllBitrateNonInterleaved`, `H264MultipleBitrate1080p`,`H264MultipleBitrate720p`, `H264MultipleBitrateSD`,`H264SingleBitrate1080p`, `H264SingleBitrate720p` and `H264SingleBitrateSD`.
"""
if preset_name is not None:
pulumi.set(__self__, "preset_name", preset_name)
@property
@pulumi.getter(name="presetName")
def preset_name(self) -> Optional[pulumi.Input[str]]:
"""
The built-in preset to be used for encoding videos. The allowed values are `AACGoodQualityAudio`, `AdaptiveStreaming`,`ContentAwareEncoding`, `ContentAwareEncodingExperimental`,`CopyAllBitrateNonInterleaved`, `H264MultipleBitrate1080p`,`H264MultipleBitrate720p`, `H264MultipleBitrateSD`,`H264SingleBitrate1080p`, `H264SingleBitrate720p` and `H264SingleBitrateSD`.
"""
return pulumi.get(self, "preset_name")
@preset_name.setter
def preset_name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "preset_name", value)
@pulumi.input_type
class TransformOutputFaceDetectorPresetArgs:
def __init__(__self__, *,
analysis_resolution: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[str] analysis_resolution: Possibles value are `SourceResolution` or `StandardDefinition`. Specifies the maximum resolution at which your video is analyzed. The default behavior is `SourceResolution` which will keep the input video at its original resolution when analyzed. Using `StandardDefinition` will resize input videos to standard definition while preserving the appropriate aspect ratio. It will only resize if the video is of higher resolution. For example, a 1920x1080 input would be scaled to 640x360 before processing. Switching to `StandardDefinition` will reduce the time it takes to process high resolution video. It may also reduce the cost of using this component (see https://azure.microsoft.com/en-us/pricing/details/media-services/#analytics for details). However, faces that end up being too small in the resized video may not be detected.
"""
if analysis_resolution is not None:
pulumi.set(__self__, "analysis_resolution", analysis_resolution)
@property
@pulumi.getter(name="analysisResolution")
def analysis_resolution(self) -> Optional[pulumi.Input[str]]:
"""
Possibles value are `SourceResolution` or `StandardDefinition`. Specifies the maximum resolution at which your video is analyzed. The default behavior is `SourceResolution` which will keep the input video at its original resolution when analyzed. Using `StandardDefinition` will resize input videos to standard definition while preserving the appropriate aspect ratio. It will only resize if the video is of higher resolution. For example, a 1920x1080 input would be scaled to 640x360 before processing. Switching to `StandardDefinition` will reduce the time it takes to process high resolution video. It may also reduce the cost of using this component (see https://azure.microsoft.com/en-us/pricing/details/media-services/#analytics for details). However, faces that end up being too small in the resized video may not be detected.
"""
return pulumi.get(self, "analysis_resolution")
@analysis_resolution.setter
def analysis_resolution(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "analysis_resolution", value)
@pulumi.input_type
class TransformOutputVideoAnalyzerPresetArgs:
def __init__(__self__, *,
audio_analysis_mode: Optional[pulumi.Input[str]] = None,
audio_language: Optional[pulumi.Input[str]] = None,
insights_type: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[str] audio_analysis_mode: Possibles value are `Basic` or `Standard`. Determines the set of audio analysis operations to be performed.
:param pulumi.Input[str] audio_language: The language for the audio payload in the input using the BCP-47 format of 'language tag-region' (e.g: 'en-US'). If you know the language of your content, it is recommended that you specify it. The language must be specified explicitly for AudioAnalysisMode:Basic, since automatic language detection is not included in basic mode. If the language isn't specified, automatic language detection will choose the first language detected and process with the selected language for the duration of the file. It does not currently support dynamically switching between languages after the first language is detected. The automatic detection works best with audio recordings with clearly discernible speech. If automatic detection fails to find the language, transcription would fallback to 'en-US'." The list of supported languages is available here: https://go.microsoft.com/fwlink/?linkid=2109463.
:param pulumi.Input[str] insights_type: Defines the type of insights that you want the service to generate. The allowed values are `AudioInsightsOnly`, `VideoInsightsOnly`, and `AllInsights`. If you set this to `AllInsights` and the input is audio only, then only audio insights are generated. Similarly if the input is video only, then only video insights are generated. It is recommended that you not use `AudioInsightsOnly` if you expect some of your inputs to be video only; or use `VideoInsightsOnly` if you expect some of your inputs to be audio only. Your Jobs in such conditions would error out.
"""
if audio_analysis_mode is not None:
pulumi.set(__self__, "audio_analysis_mode", audio_analysis_mode)
if audio_language is not None:
pulumi.set(__self__, "audio_language", audio_language)
if insights_type is not None:
pulumi.set(__self__, "insights_type", insights_type)
@property
@pulumi.getter(name="audioAnalysisMode")
def audio_analysis_mode(self) -> Optional[pulumi.Input[str]]:
"""
Possibles value are `Basic` or `Standard`. Determines the set of audio analysis operations to be performed.
"""
return pulumi.get(self, "audio_analysis_mode")
@audio_analysis_mode.setter
def audio_analysis_mode(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "audio_analysis_mode", value)
@property
@pulumi.getter(name="audioLanguage")
def audio_language(self) -> Optional[pulumi.Input[str]]:
"""
The language for the audio payload in the input using the BCP-47 format of 'language tag-region' (e.g: 'en-US'). If you know the language of your content, it is recommended that you specify it. The language must be specified explicitly for AudioAnalysisMode:Basic, since automatic language detection is not included in basic mode. If the language isn't specified, automatic language detection will choose the first language detected and process with the selected language for the duration of the file. It does not currently support dynamically switching between languages after the first language is detected. The automatic detection works best with audio recordings with clearly discernible speech. If automatic detection fails to find the language, transcription would fallback to 'en-US'." The list of supported languages is available here: https://go.microsoft.com/fwlink/?linkid=2109463.
"""
return pulumi.get(self, "audio_language")
@audio_language.setter
def audio_language(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "audio_language", value)
@property
@pulumi.getter(name="insightsType")
def insights_type(self) -> Optional[pulumi.Input[str]]:
"""
Defines the type of insights that you want the service to generate. The allowed values are `AudioInsightsOnly`, `VideoInsightsOnly`, and `AllInsights`. If you set this to `AllInsights` and the input is audio only, then only audio insights are generated. Similarly if the input is video only, then only video insights are generated. It is recommended that you not use `AudioInsightsOnly` if you expect some of your inputs to be video only; or use `VideoInsightsOnly` if you expect some of your inputs to be audio only. Your Jobs in such conditions would error out.
"""
return pulumi.get(self, "insights_type")
@insights_type.setter
def insights_type(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "insights_type", value)
| 52.808159 | 941 | 0.708263 | 17,431 | 143,691 | 5.642132 | 0.045781 | 0.075385 | 0.084038 | 0.0557 | 0.859011 | 0.798074 | 0.746472 | 0.66952 | 0.639149 | 0.606967 | 0 | 0.004285 | 0.200994 | 143,691 | 2,720 | 942 | 52.827574 | 0.85233 | 0.353975 | 0 | 0.461078 | 1 | 0 | 0.165217 | 0.112884 | 0 | 0 | 0 | 0 | 0 | 1 | 0.20479 | false | 0.010778 | 0.002994 | 0.003593 | 0.322754 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
7da7664b3958aa1ad67c6be0c2e8745eb2243a27 | 218 | py | Python | ABC_A/ABC168_A.py | ryosuke0825/atcoder_python | 185cdbe7db44ecca1aaf357858d16d31ce515ddb | [
"MIT"
] | null | null | null | ABC_A/ABC168_A.py | ryosuke0825/atcoder_python | 185cdbe7db44ecca1aaf357858d16d31ce515ddb | [
"MIT"
] | null | null | null | ABC_A/ABC168_A.py | ryosuke0825/atcoder_python | 185cdbe7db44ecca1aaf357858d16d31ce515ddb | [
"MIT"
] | null | null | null | N = input()
if N[-1] == '2' or N[-1] == '4' or N[-1] == '5' or N[-1] == '7' or N[-1] == '9':
print('hon')
elif N[-1] == '0' or N[-1] == '1' or N[-1] == '6' or N[-1] == '8':
print('pon')
else:
print('bon')
| 24.222222 | 80 | 0.37156 | 45 | 218 | 1.8 | 0.422222 | 0.222222 | 0.345679 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.111111 | 0.256881 | 218 | 8 | 81 | 27.25 | 0.388889 | 0 | 0 | 0 | 0 | 0 | 0.082569 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.428571 | 0 | 0 | 1 | null | 1 | 1 | 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 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6 |
7db1cc5f37fb29eb5526bbd7f355b45ce94502b7 | 2,261 | py | Python | tests/unit/test_relation.py | ueshin/dbt-databricks | ae9df50807a5a9800e941eb1776eb6f72901742b | [
"Apache-2.0"
] | 38 | 2021-12-06T19:04:57.000Z | 2022-03-28T08:08:14.000Z | tests/unit/test_relation.py | ueshin/dbt-databricks | ae9df50807a5a9800e941eb1776eb6f72901742b | [
"Apache-2.0"
] | 36 | 2021-12-07T01:10:50.000Z | 2022-03-31T00:37:25.000Z | tests/unit/test_relation.py | ueshin/dbt-databricks | ae9df50807a5a9800e941eb1776eb6f72901742b | [
"Apache-2.0"
] | 11 | 2021-12-06T18:11:33.000Z | 2022-03-22T10:36:15.000Z | import unittest
from jinja2.runtime import Undefined
from dbt.adapters.databricks.relation import DatabricksRelation
class TestDatabricksRelation(unittest.TestCase):
def test_pre_deserialize(self):
data = {
"quote_policy": {"database": False, "schema": False, "identifier": False},
"path": {
"database": "some_database",
"schema": "some_schema",
"identifier": "some_table",
},
"type": None,
}
relation = DatabricksRelation.from_dict(data)
self.assertEqual(relation.database, "some_database")
self.assertEqual(relation.schema, "some_schema")
self.assertEqual(relation.identifier, "some_table")
data = {
"quote_policy": {"database": False, "schema": False, "identifier": False},
"path": {
"database": None,
"schema": "some_schema",
"identifier": "some_table",
},
"type": None,
}
relation = DatabricksRelation.from_dict(data)
self.assertIsNone(relation.database)
self.assertEqual(relation.schema, "some_schema")
self.assertEqual(relation.identifier, "some_table")
data = {
"quote_policy": {"database": False, "schema": False, "identifier": False},
"path": {
"schema": "some_schema",
"identifier": "some_table",
},
"type": None,
}
relation = DatabricksRelation.from_dict(data)
self.assertIsNone(relation.database)
self.assertEqual(relation.schema, "some_schema")
self.assertEqual(relation.identifier, "some_table")
data = {
"quote_policy": {"database": False, "schema": False, "identifier": False},
"path": {
"database": Undefined(),
"schema": "some_schema",
"identifier": "some_table",
},
"type": None,
}
relation = DatabricksRelation.from_dict(data)
self.assertIsNone(relation.database)
self.assertEqual(relation.schema, "some_schema")
self.assertEqual(relation.identifier, "some_table")
| 33.25 | 86 | 0.560372 | 188 | 2,261 | 6.590426 | 0.180851 | 0.108959 | 0.16707 | 0.074253 | 0.816788 | 0.816788 | 0.816788 | 0.816788 | 0.816788 | 0.816788 | 0 | 0.000644 | 0.313136 | 2,261 | 67 | 87 | 33.746269 | 0.797167 | 0 | 0 | 0.696429 | 0 | 0 | 0.202565 | 0 | 0 | 0 | 0 | 0 | 0.214286 | 1 | 0.017857 | false | 0 | 0.053571 | 0 | 0.089286 | 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 |
7dd6c37c7ed39749693166cb4e7f5b3ccd0f99f0 | 13,959 | bzl | Python | tools/build_rules/pex_rules.bzl | anglofox/bazel-pex-rule | a08606baf573a6f14e0a5eb858377a6474df92cb | [
"Apache-2.0"
] | 1 | 2021-05-10T22:14:23.000Z | 2021-05-10T22:14:23.000Z | tools/build_rules/pex_rules.bzl | anglofox/bazel-pex-rule | a08606baf573a6f14e0a5eb858377a6474df92cb | [
"Apache-2.0"
] | null | null | null | tools/build_rules/pex_rules.bzl | anglofox/bazel-pex-rule | a08606baf573a6f14e0a5eb858377a6474df92cb | [
"Apache-2.0"
] | null | null | null | python_file_types = FileType(['.py', '.pyc'])
proto_file_types = FileType(['.proto'])
def collect_transitive_srcs(ctx):
transitive_srcs = depset(order="compile")
for dep in ctx.attr.deps:
transitive_srcs += dep.transitive_srcs
transitive_srcs += python_file_types.filter(ctx.files.srcs)
return transitive_srcs
def collect_transitive_gens(ctx):
transitive_gens = depset(order="compile")
for dep in ctx.attr.deps:
transitive_gens += dep.transitive_gens
transitive_gens += proto_file_types.filter(ctx.files.srcs)
return transitive_gens
def collect_transitive_data(ctx):
transitive_data = depset(order="compile")
for dep in ctx.attr.deps:
transitive_data += dep.transitive_data
for datum in ctx.attr.data:
transitive_data += datum.files
return transitive_data
def collect_transitive_reqs(ctx):
transitive_reqs = depset(order="compile")
for dep in ctx.attr.deps:
transitive_reqs += dep.transitive_reqs
if ctx.attr.reqs != None:
for req in ctx.attr.reqs:
transitive_reqs += req.files
return transitive_reqs
def collect_transitive_deps(ctx):
transitive_deps = depset(order="compile")
for dep in ctx.attr.deps:
transitive_deps += dep.transitive_deps
return transitive_deps
def collect_transitive_builds(ctx):
transitive_builds = depset(order="compile")
for dep in ctx.attr.deps:
transitive_builds += dep.transitive_builds
return transitive_builds
def collect_protobuf_gens(ctx, transitive_gens):
proto_gens = depset(order="compile")
proto_gens += python_file_types.filter(transitive_gens)
sources = proto_file_types.filter(transitive_gens)
for source in sources:
localpath = source.path.split('/')
localpath[-1] = ''.join([source.basename.split('.')[0], '_pb2.py'])
localpath = localpath[len(ctx.build_file_path.split('/')[:-1]):]
output = ctx.new_file(ctx.genfiles_dir, '/'.join(localpath))
proto_gens += depset([output])
command = 'external/proto/bin/protoc ' + \
'-I=%s ' % source.dirname + \
'--python_out=%s ' % output.dirname + \
'%s' % source.path
ctx.action(
mnemonic='ProtoCompile',
inputs=list(depset(sources) + ctx.attr._protoc.files),
command=command,
outputs=[output],
env={
'PATH': '/bin:/usr/bin:/usr/local/bin',
'LANG': 'en_US.UTF-8'
}
)
return proto_gens
def pex_library_impl(ctx):
build_path = '/'.join(ctx.build_file_path.split('/')[:-1])
transitive_srcs = collect_transitive_srcs(ctx)
transitive_gens = collect_transitive_gens(ctx)
transitive_gens = collect_protobuf_gens(ctx, transitive_gens)
transitive_data = collect_transitive_data(ctx)
transitive_reqs = collect_transitive_reqs(ctx)
transitive_deps = collect_transitive_deps(ctx)
transitive_deps += depset([build_path])
return struct(
files=depset(),
transitive_srcs=transitive_srcs,
transitive_gens=transitive_gens,
transitive_data=transitive_data,
transitive_reqs=transitive_reqs,
transitive_deps=transitive_deps
)
def pex_library_test_impl(ctx):
build_path = '/'.join(ctx.build_file_path.split('/')[:-1])
transitive_srcs = collect_transitive_srcs(ctx)
transitive_gens = collect_transitive_gens(ctx)
transitive_gens = collect_protobuf_gens(ctx, transitive_gens)
transitive_data = collect_transitive_data(ctx)
transitive_reqs = collect_transitive_reqs(ctx)
transitive_deps = collect_transitive_deps(ctx)
transitive_deps += depset([build_path])
bdist_wheel = ctx.new_file(ctx.genfiles_dir, 'bdist_wheel')
command = ['export PATH=$PATH:`pwd`/external/pip/']
command += ['export PYTHONPATH=`pwd`/external/pip/site-packages']
command += ['cd %s' % build_path]
command += ['python3.6 setup.py --quiet bdist_wheel &> /dev/null']
command += ['cd - > /dev/null']
command += ['ls %s/dist > %s' % (build_path, bdist_wheel.path)]
ctx.action(
mnemonic='WheelFilenameCompile',
inputs=list(
transitive_srcs +
transitive_gens +
transitive_data
),
command=' && '.join(command),
outputs=[bdist_wheel],
env={
'PATH': '/bin:/usr/bin:/usr/local/bin',
'LANG': 'en_US.UTF-8'
}
)
transitive_builds = collect_transitive_builds(ctx)
transitive_builds += depset([bdist_wheel])
return struct(
files=depset(),
transitive_srcs=transitive_srcs,
transitive_gens=transitive_gens,
transitive_data=transitive_data,
transitive_reqs=transitive_reqs,
transitive_deps=transitive_deps,
transitive_builds=transitive_builds
)
def pex_binary_impl(ctx):
build_path = '/'.join(ctx.build_file_path.split('/')[:-1])
transitive_srcs = collect_transitive_srcs(ctx)
transitive_gens = collect_transitive_gens(ctx)
transitive_gens = collect_protobuf_gens(ctx, transitive_gens)
transitive_data = collect_transitive_data(ctx)
transitive_reqs = collect_transitive_reqs(ctx)
transitive_deps = collect_transitive_deps(ctx)
transitive_deps += depset([build_path])
runfiles = ctx.runfiles(
collect_default=True,
transitive_files=(
transitive_srcs +
transitive_gens +
transitive_data
)
)
command = []
command += ['export PATH=$PATH:`pwd`/external/pip/']
command += ['export PYTHONPATH=`pwd`/external/pip/site-packages']
for genfile in transitive_gens:
dest = genfile.path.replace('%s/' % ctx.genfiles_dir.path, '')
command += [' '.join(['cp', genfile.path, dest])]
link_paths = depset([file.dirname for file in transitive_reqs])
manifests = ' '.join(['%s/MANIFEST' % path for path in link_paths])
command += ['REQS=$(awk "{print}" ORS=" " %s)' % manifests]
command += [' '.join([
'external/pip/bin/pex',
'%s $REQS' % ' '.join([f for f in transitive_deps]),
' '.join(['-f %s' % path for path in link_paths]),
'-v -v -v' if ctx.attr.verbose else '-v',
'--entry-point=%s' % ctx.attr.entry_point,
'--output-file=%s' % ctx.outputs.executable.path,
'--python=%s' % ctx.attr.interpreter,
'--no-index'
])]
pip_tools = depset(order="compile")
for target in ctx.attr._pip:
pip_tools += depset([file for file in target.files])
ctx.action(
mnemonic='PexCompile',
inputs=list(
pip_tools +
transitive_srcs +
transitive_gens +
transitive_data +
transitive_reqs
),
command=' && '.join(command),
outputs=[ctx.outputs.executable],
env={
'PATH': '/bin:/usr/bin:/usr/local/bin',
'LANG': 'en_US.UTF-8',
'PEX_ROOT': ctx.attr._root
}
)
return struct(
files=depset([ctx.outputs.executable]),
runfiles=runfiles,
transitive_srcs=transitive_srcs,
transitive_gens=transitive_gens,
transitive_data=transitive_data,
transitive_reqs=transitive_reqs,
transitive_deps=transitive_deps
)
def pex_test_impl(ctx):
build_path = '/'.join(ctx.build_file_path.split('/')[:-1])
transitive_srcs = collect_transitive_srcs(ctx)
transitive_gens = collect_transitive_gens(ctx)
transitive_gens = collect_protobuf_gens(ctx, transitive_gens)
transitive_data = collect_transitive_data(ctx)
transitive_reqs = collect_transitive_reqs(ctx)
transitive_deps = collect_transitive_deps(ctx)
transitive_deps += depset([build_path, ctx.attr._tester.label.package])
bdist_wheel = ctx.new_file(ctx.genfiles_dir, 'bdist_wheel')
command = ['export PATH=$PATH:`pwd`/external/pip/']
command += ['export PYTHONPATH=`pwd`/external/pip/site-packages']
command += ['cd %s' % build_path]
command += ['python3.6 setup.py --quiet bdist_wheel &> /dev/null']
command += ['cd - > /dev/null']
command += ['ls %s/dist > %s' % (build_path, bdist_wheel.path)]
ctx.action(
mnemonic='WheelFilenameCompile',
inputs=list(
transitive_srcs +
transitive_gens +
transitive_data
),
command=' && '.join(command),
outputs=[bdist_wheel],
env={
'PATH': '/bin:/usr/bin:/usr/local/bin',
'LANG': 'en_US.UTF-8'
}
)
transitive_builds = collect_transitive_builds(ctx)
transitive_builds += depset([bdist_wheel])
runfiles = ctx.runfiles(
collect_default=True,
transitive_files=(
transitive_srcs +
transitive_gens +
transitive_data
)
)
command = []
command += ['export PATH=$PATH:`pwd`/external/pip/']
command += ['export PYTHONPATH=`pwd`/external/pip/site-packages']
for genfile in transitive_gens:
dest = genfile.path.replace('%s/' % ctx.genfiles_dir.path, '')
command += [' '.join(['cp', genfile.path, dest])]
packages = '%s/tester/packages.dat' % ctx.attr._tester.label.package
for build in transitive_builds:
command += ['cat %s >> %s' % (build.path, packages)]
link_paths = depset([file.dirname for file in transitive_reqs])
manifests = ' '.join(['%s/MANIFEST' % path for path in link_paths])
command += ['REQS=$(awk "{print}" ORS=" " %s)' % manifests]
command += [' '.join([
'external/pip/bin/pex',
'%s $REQS' % ' '.join([f for f in transitive_deps]),
' '.join(['-f %s' % path for path in link_paths]),
'-v -v -v' if ctx.attr.verbose else '-v',
'--entry-point=%s' % ctx.attr._tester.label.name,
'--output-file=%s' % ctx.outputs.executable.path,
'--python=%s' % ctx.attr.interpreter,
'--no-index'
])]
pip_tools = depset(order="compile")
for target in ctx.attr._pip:
pip_tools += depset([file for file in target.files])
ctx.action(
mnemonic='PexCompile',
inputs=list(
pip_tools +
transitive_srcs +
transitive_gens +
transitive_data +
transitive_reqs +
transitive_builds +
ctx.attr._tester.files
),
command=' && '.join(command),
outputs=[ctx.outputs.executable],
env={
'PATH': '/bin:/usr/bin:/usr/local/bin',
'LANG': 'en_US.UTF-8',
'PEX_ROOT': ctx.attr._root
}
)
return struct(
files=depset([ctx.outputs.executable]),
runfiles=runfiles,
transitive_srcs=transitive_srcs,
transitive_gens=transitive_gens,
transitive_data=transitive_data,
transitive_reqs=transitive_reqs,
transitive_deps=transitive_deps,
transitive_builds=transitive_builds
)
pex_attrs = {
'_protoc': attr.label(default=Label('@proto//:tools')),
'srcs': attr.label_list(allow_files=True),
'data': attr.label_list(allow_files=True, allow_empty=True, cfg='data'),
'reqs': attr.label_list(allow_empty=True)
}
pex_deps_attrs = {
'deps': attr.label_list(
providers=[
'transitive_srcs',
'transitive_gens',
'transitive_data',
'transitive_reqs',
'transitive_deps'
],
allow_files=False
)
}
pex_deps_test_attrs = {
'deps': attr.label_list(
providers=[
'transitive_srcs',
'transitive_gens',
'transitive_data',
'transitive_reqs',
'transitive_deps',
'transitive_builds'
],
allow_files=False
)
}
pex_build_attrs = {
'_pip': attr.label_list(
default=[Label('@pip//:tools'), Label('@pip//bin')]),
'_root': attr.string(default='.pex'),
'interpreter': attr.string(default='python3.6'),
'verbose': attr.bool(default=False)
}
pex_entry_attrs = {
'entry_point': attr.string(mandatory=True)
}
pex_tester_attrs = {
'_tester': attr.label(default=Label('//tools/python/tester'))
}
_pex_library = rule(
pex_library_impl,
attrs=pex_attrs + pex_deps_attrs
)
_pex_test_library = rule(
pex_library_test_impl,
attrs=pex_attrs + pex_deps_test_attrs
)
_pex_binary = rule(
pex_binary_impl,
attrs=pex_attrs + pex_deps_attrs + pex_build_attrs + pex_entry_attrs,
executable=True
)
_pex_test = rule(
pex_test_impl,
attrs=pex_attrs + pex_deps_test_attrs + pex_build_attrs + pex_tester_attrs,
executable=True,
test=True
)
def pex_library(name, srcs, data=None, reqs=None, deps=None):
_pex_library(
name=name,
srcs=srcs,
data=data,
reqs=reqs,
deps=deps,
visibility=['//visibility:public']
)
def pex_test_library(name, srcs, data=None, reqs=None, deps=None):
_pex_test_library(
name=name,
srcs=srcs,
data=data,
reqs=reqs,
deps=deps,
visibility=['//visibility:public']
)
def pex_binary(name, srcs, entry_point, data=None, reqs=None, deps=None,
interpreter=None, verbose=None):
_pex_binary(
name=name,
srcs=srcs,
data=data,
reqs=reqs,
deps=deps,
entry_point=entry_point,
interpreter=interpreter,
verbose=verbose,
visibility=['//visibility:public']
)
def pex_test(name, size, srcs, data=None, reqs=None, deps=None,
interpreter=None, verbose=None):
_pex_test(
name=name,
size=size,
srcs=srcs,
data=data,
reqs=reqs,
deps=deps,
interpreter=interpreter,
verbose=verbose,
visibility=['//visibility:public']
)
| 30.611842 | 79 | 0.620102 | 1,597 | 13,959 | 5.167188 | 0.088291 | 0.072952 | 0.061076 | 0.05429 | 0.801866 | 0.772055 | 0.749273 | 0.724067 | 0.702012 | 0.7008 | 0 | 0.001815 | 0.249946 | 13,959 | 455 | 80 | 30.679121 | 0.786342 | 0 | 0 | 0.626289 | 0 | 0 | 0.125224 | 0.035819 | 0 | 0 | 0 | 0 | 0 | 1 | 0.03866 | false | 0 | 0 | 0 | 0.06701 | 0.005155 | 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 |
7de9ed4adfc97f1105ae624cb0882c162323a248 | 2,563 | py | Python | epytope/Data/pssms/smmpmbec/mat/A_68_02_10.py | christopher-mohr/epytope | 8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd | [
"BSD-3-Clause"
] | 7 | 2021-02-01T18:11:28.000Z | 2022-01-31T19:14:07.000Z | epytope/Data/pssms/smmpmbec/mat/A_68_02_10.py | christopher-mohr/epytope | 8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd | [
"BSD-3-Clause"
] | 22 | 2021-01-02T15:25:23.000Z | 2022-03-14T11:32:53.000Z | epytope/Data/pssms/smmpmbec/mat/A_68_02_10.py | christopher-mohr/epytope | 8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd | [
"BSD-3-Clause"
] | 4 | 2021-05-28T08:50:38.000Z | 2022-03-14T11:45:32.000Z | A_68_02_10 = {0: {'A': 0.346, 'C': -0.073, 'E': -0.614, 'D': 0.017, 'G': 0.316, 'F': -0.344, 'I': 0.222, 'H': -0.243, 'K': 0.666, 'M': -0.623, 'L': 0.081, 'N': -0.24, 'Q': 0.194, 'P': 0.94, 'S': -0.161, 'R': 0.161, 'T': -0.323, 'W': -0.366, 'V': 0.387, 'Y': -0.344}, 1: {'A': -0.256, 'C': 0.302, 'E': 0.209, 'D': 0.079, 'G': 0.191, 'F': 0.097, 'I': -0.241, 'H': 0.071, 'K': 0.147, 'M': -0.024, 'L': 0.136, 'N': 0.153, 'Q': 0.299, 'P': 0.479, 'S': -0.693, 'R': 0.214, 'T': -0.921, 'W': 0.23, 'V': -0.572, 'Y': 0.101}, 2: {'A': -0.502, 'C': 0.047, 'E': 0.473, 'D': 0.294, 'G': 0.35, 'F': -0.405, 'I': -0.269, 'H': 0.162, 'K': 0.257, 'M': -0.354, 'L': 0.354, 'N': 0.102, 'Q': 0.466, 'P': -0.076, 'S': -0.25, 'R': 0.333, 'T': -0.098, 'W': -0.104, 'V': -0.343, 'Y': -0.438}, 3: {'A': -0.23, 'C': -0.072, 'E': -0.081, 'D': -0.084, 'G': -0.058, 'F': -0.127, 'I': 0.047, 'H': 0.024, 'K': 0.192, 'M': 0.076, 'L': 0.218, 'N': -0.028, 'Q': 0.094, 'P': 0.135, 'S': -0.111, 'R': 0.092, 'T': -0.052, 'W': -0.017, 'V': 0.085, 'Y': -0.102}, 4: {'A': -0.169, 'C': -0.009, 'E': 0.148, 'D': 0.114, 'G': -0.017, 'F': -0.285, 'I': -0.182, 'H': 0.12, 'K': 0.272, 'M': -0.116, 'L': -0.03, 'N': 0.06, 'Q': 0.272, 'P': -0.026, 'S': -0.009, 'R': 0.269, 'T': 0.005, 'W': -0.125, 'V': -0.142, 'Y': -0.148}, 5: {'A': -0.005, 'C': 0.032, 'E': 0.114, 'D': 0.145, 'G': 0.12, 'F': -0.151, 'I': -0.253, 'H': 0.07, 'K': 0.155, 'M': 0.041, 'L': 0.058, 'N': 0.012, 'Q': 0.046, 'P': 0.031, 'S': -0.063, 'R': 0.124, 'T': -0.17, 'W': 0.03, 'V': -0.225, 'Y': -0.112}, 6: {'A': -0.126, 'C': -0.103, 'E': 0.115, 'D': 0.206, 'G': 0.044, 'F': -0.254, 'I': -0.049, 'H': -0.081, 'K': 0.164, 'M': -0.15, 'L': -0.069, 'N': 0.019, 'Q': 0.082, 'P': 0.345, 'S': -0.07, 'R': 0.027, 'T': -0.081, 'W': 0.004, 'V': -0.019, 'Y': -0.005}, 7: {'A': -0.293, 'C': -0.128, 'E': 0.065, 'D': 0.014, 'G': -0.108, 'F': -0.133, 'I': -0.207, 'H': 0.039, 'K': 0.393, 'M': -0.161, 'L': 0.153, 'N': 0.095, 'Q': 0.1, 'P': 0.144, 'S': -0.014, 'R': 0.336, 'T': 0.013, 'W': -0.161, 'V': 0.014, 'Y': -0.161}, 8: {'A': 0.003, 'C': -0.018, 'E': 0.019, 'D': 0.343, 'G': -0.136, 'F': -0.138, 'I': 0.229, 'H': -0.082, 'K': 0.226, 'M': 0.03, 'L': -0.072, 'N': -0.017, 'Q': -0.087, 'P': -0.184, 'S': -0.053, 'R': -0.029, 'T': -0.037, 'W': 0.106, 'V': 0.214, 'Y': -0.316}, 9: {'A': -0.877, 'C': 0.131, 'E': 0.155, 'D': 0.278, 'G': -1.318, 'F': -0.324, 'I': -1.067, 'H': 1.082, 'K': 0.469, 'M': -0.448, 'L': -0.833, 'N': 0.958, 'Q': 0.334, 'P': 1.525, 'S': -0.52, 'R': 0.765, 'T': -0.447, 'W': 1.037, 'V': -1.396, 'Y': 0.498}, -1: {'con': 4.53515}} | 2,563 | 2,563 | 0.39446 | 618 | 2,563 | 1.631068 | 0.309061 | 0.019841 | 0.009921 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.374128 | 0.161529 | 2,563 | 1 | 2,563 | 2,563 | 0.094928 | 0 | 0 | 0 | 0 | 0 | 0.079173 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
7deea25e8d43472f056683e0ce099c169bee83bd | 2,769 | py | Python | vaemof/losses.py | zhenpengyao/Supramolecular_VAE | a6463f9288791799651a7f92cbb8b92c91997dda | [
"Apache-2.0"
] | 14 | 2020-05-25T05:02:58.000Z | 2021-11-29T09:58:45.000Z | vaemof/losses.py | egtai/Supramolecular_VAE | a6463f9288791799651a7f92cbb8b92c91997dda | [
"Apache-2.0"
] | 1 | 2020-08-11T05:39:31.000Z | 2020-08-25T03:19:16.000Z | vaemof/losses.py | egtai/Supramolecular_VAE | a6463f9288791799651a7f92cbb8b92c91997dda | [
"Apache-2.0"
] | 7 | 2021-01-21T16:36:45.000Z | 2022-01-12T02:26:36.000Z | import numpy as np
import torch
import torch.nn.functional as F
def masked_mse_loss(y_hat, y, mask):
loss_tensor = F.mse_loss(y_hat * mask, y * mask, reduction='none')
loss = torch.sum(loss_tensor) / (torch.sum(mask) + 1e-7)
return loss
def masked_wmse_loss(y_hat, y, mask, w):
loss_tensor = F.mse_loss(y_hat * mask, y * mask, reduction='none') * w
loss = torch.sum(loss_tensor) / (torch.sum(mask) + 1e-7)
return loss
def test_masked_loss(data):
extra = 1.0
y_true = torch.Tensor(np.array([t[2] for t in test_data]))
mask = torch.Tensor(np.array([t[3] for t in test_data]).astype(np.float32))
n_dim = y_true.shape[-1]
loss = masked_mse_loss(y_true, y_true, mask).item()
assert loss == 0.0, "masked_loss(y,y): should be 0, it's {}".format(loss)
y_pred = torch.Tensor(
np.array([t[2] if t[3][0] else t[2] + extra for t in test_data]))
loss = masked_mse_loss(y_true, y_pred, mask).item()
assert loss == 0.0, "masked_loss(y,y+1[False]): should be 0, it's {}".format(
loss)
y_pred = torch.Tensor(
np.array([t[2] + extra if t[3][0] else t[2] for t in test_data]))
loss = masked_mse_loss(y_true, y_pred, mask).item()
correct_loss = extra * n_dim
assert loss == correct_loss, "masked_loss(y,y+1[True]): should be {}, it's {}".format(
correct_loss, loss)
return True
def test_masked_wloss(data):
extra = 1.0
y_true = torch.Tensor(np.array([t[2] for t in test_data]))
mask = torch.Tensor(np.array([t[3] for t in test_data]).astype(np.float32))
n_dim = y_true.shape[-1]
w = torch.Tensor(np.ones(n_dim))
loss = masked_wmse_loss(y_true, y_true, mask, w).item()
assert loss == 0.0, "masked_loss(y,y): should be 0, it's {}".format(loss)
y_pred = torch.Tensor(
np.array([t[2] if t[3][0] else t[2] + extra for t in test_data]))
loss = masked_wmse_loss(y_true, y_pred, mask, w).item()
assert loss == 0.0, "masked_loss(y,y+1[False]): should be 0, it's {}".format(
loss)
y_pred = torch.Tensor(
np.array([t[2] + extra if t[3][0] else t[2] for t in test_data]))
loss = masked_wmse_loss(y_true, y_pred, mask, w).item()
correct_loss = extra * n_dim
assert loss == correct_loss, "masked_loss(y,y+1[True]): should be {}, it's {}".format(
correct_loss, loss)
w = np.random.random(n_dim)
w_mean = np.mean(w)
w = torch.Tensor(w)
y_pred = torch.Tensor(
np.array([t[2] + extra if t[3][0] else t[2] for t in test_data]))
loss = masked_wmse_loss(y_true, y_pred, mask, w).item()
correct_loss = extra * n_dim * w_mean
assert np.isclose(
loss, correct_loss), "masked_loss(y,y+1[True]): should be {}, it's {}".format(correct_loss, loss)
return True
| 40.130435 | 105 | 0.628747 | 504 | 2,769 | 3.277778 | 0.115079 | 0.066586 | 0.078692 | 0.098063 | 0.882567 | 0.866828 | 0.861985 | 0.833535 | 0.833535 | 0.833535 | 0 | 0.025091 | 0.208378 | 2,769 | 68 | 106 | 40.720588 | 0.728558 | 0 | 0 | 0.694915 | 0 | 0 | 0.115204 | 0.045865 | 0 | 0 | 0 | 0 | 0.118644 | 1 | 0.067797 | false | 0 | 0.050847 | 0 | 0.186441 | 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 |
7df008edde9c49cfc950fe1b04e5edcb73a5021c | 73 | py | Python | boilerplate/config/settings/__init__.py | andre-dasilva/django-boilerplate | 2bce4623053a3993bf4ba897109de8ea3ce0fd0f | [
"MIT"
] | null | null | null | boilerplate/config/settings/__init__.py | andre-dasilva/django-boilerplate | 2bce4623053a3993bf4ba897109de8ea3ce0fd0f | [
"MIT"
] | null | null | null | boilerplate/config/settings/__init__.py | andre-dasilva/django-boilerplate | 2bce4623053a3993bf4ba897109de8ea3ce0fd0f | [
"MIT"
] | null | null | null | from .base import *
from .logging import *
from .rest_framework import *
| 18.25 | 29 | 0.753425 | 10 | 73 | 5.4 | 0.6 | 0.37037 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.164384 | 73 | 3 | 30 | 24.333333 | 0.885246 | 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 |
81531c0c0a6f88ee81a7bf44df380dccb91e80c7 | 35 | py | Python | grid_world/myenv/__init__.py | akifumi-wachi-4/spolf | a1603bcb3640bfdb69a3a78001efb9a89fa0ff0c | [
"MIT"
] | 7 | 2021-11-08T08:26:51.000Z | 2022-03-26T06:56:36.000Z | grid_world/myenv/__init__.py | akifumi-wachi-4/spolf | a1603bcb3640bfdb69a3a78001efb9a89fa0ff0c | [
"MIT"
] | 1 | 2022-03-27T13:41:03.000Z | 2022-03-28T14:16:13.000Z | grid_world/myenv/__init__.py | akifumi-wachi-4/spolf | a1603bcb3640bfdb69a3a78001efb9a89fa0ff0c | [
"MIT"
] | 1 | 2022-03-27T08:21:47.000Z | 2022-03-27T08:21:47.000Z | from myenv.envs.env_spolf import *
| 17.5 | 34 | 0.8 | 6 | 35 | 4.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.114286 | 35 | 1 | 35 | 35 | 0.870968 | 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 |
81893f21c50e37f52583d48aeffba9cbfd8853c9 | 96 | py | Python | venv/lib/python3.8/site-packages/clikit/api/args/format/command_option.py | Retraces/UkraineBot | 3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71 | [
"MIT"
] | 2 | 2022-03-13T01:58:52.000Z | 2022-03-31T06:07:54.000Z | venv/lib/python3.8/site-packages/clikit/api/args/format/command_option.py | DesmoSearch/Desmobot | b70b45df3485351f471080deb5c785c4bc5c4beb | [
"MIT"
] | 19 | 2021-11-20T04:09:18.000Z | 2022-03-23T15:05:55.000Z | venv/lib/python3.8/site-packages/clikit/api/args/format/command_option.py | DesmoSearch/Desmobot | b70b45df3485351f471080deb5c785c4bc5c4beb | [
"MIT"
] | null | null | null | /home/runner/.cache/pip/pool/b4/13/11/226d9e01512960387f18f9b20db84aabdc698ef9fb83c6e9596cab5ea8 | 96 | 96 | 0.895833 | 9 | 96 | 9.555556 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.416667 | 0 | 96 | 1 | 96 | 96 | 0.479167 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
81b227abf37f780979d0318c3686cda2f71a2021 | 876 | py | Python | tests/helper/get_task_tests/01_get_all_tasks_with_tests.py | jinjamator/jinjamator | 6c48a6eedea9b9f461c66b5dddd609fa39610f0d | [
"Apache-2.0"
] | 7 | 2020-05-06T07:48:14.000Z | 2021-12-11T15:57:26.000Z | tests/helper/get_task_tests/01_get_all_tasks_with_tests.py | jinjamator/jinjamator | 6c48a6eedea9b9f461c66b5dddd609fa39610f0d | [
"Apache-2.0"
] | 1 | 2020-04-11T15:13:07.000Z | 2020-04-27T20:01:34.000Z | tests/helper/get_task_tests/01_get_all_tasks_with_tests.py | jinjamator/jinjamator | 6c48a6eedea9b9f461c66b5dddd609fa39610f0d | [
"Apache-2.0"
] | 1 | 2020-05-29T08:53:08.000Z | 2020-05-29T08:53:08.000Z | from glob import glob
import os
retval = []
for base_dir in jm.environment.jinjamator_global_tasks_base_dirs():
for test in glob(os.path.join(base_dir, "**", ".tests", "*.py"), recursive=True):
if self.configuration.get("task_string"):
if self.configuration.get("task_string") in test:
retval.append(test)
else:
log.info("Skipped test due to task-string filter: " + test)
else:
retval.append(test)
for test in glob(os.path.join(base_dir, "**", ".tests", "*.j2"), recursive=True):
if self.configuration.get("task_string"):
if self.configuration.get("task_string") in test:
retval.append(test)
else:
log.info("Skipped test due to task-string filter: " + test)
else:
retval.append(test)
return retval
| 36.5 | 85 | 0.5879 | 110 | 876 | 4.581818 | 0.345455 | 0.119048 | 0.150794 | 0.174603 | 0.797619 | 0.797619 | 0.797619 | 0.797619 | 0.797619 | 0.797619 | 0 | 0.00159 | 0.281963 | 876 | 23 | 86 | 38.086957 | 0.799682 | 0 | 0 | 0.666667 | 0 | 0 | 0.16895 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.095238 | 0 | 0.142857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
c48c0caf614d0dda0eda4b4b6255e0ec231999b1 | 6,336 | py | Python | yandex_kassa/migrations/0001_initial.py | ZarinaAfl/django-yandex-kassa | da1f68c7d3fa5976aa9071052c2767fa676b1470 | [
"MIT"
] | 28 | 2015-12-28T12:49:11.000Z | 2020-12-16T02:38:58.000Z | yandex_kassa/migrations/0001_initial.py | ZarinaAfl/django-yandex-kassa | da1f68c7d3fa5976aa9071052c2767fa676b1470 | [
"MIT"
] | 11 | 2015-12-13T16:50:17.000Z | 2017-09-20T11:48:14.000Z | yandex_kassa/migrations/0001_initial.py | ZarinaAfl/django-yandex-kassa | da1f68c7d3fa5976aa9071052c2767fa676b1470 | [
"MIT"
] | 24 | 2016-04-08T12:42:27.000Z | 2021-03-26T07:03:19.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
import yandex_kassa.utils
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.CreateModel(
name='Payment',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)),
('customer_number', models.CharField(default=yandex_kassa.utils.get_uuid, unique=True, max_length=64, verbose_name=b'\xd0\x9d\xd0\xbe\xd0\xbc\xd0\xb5\xd1\x80 \xd0\xb7\xd0\xb0\xd0\xba\xd0\xb0\xd0\xb7\xd0\xb0')),
('status', models.CharField(default=b'processed', max_length=16, verbose_name=b'\xd0\xa0\xd0\xb5\xd0\xb7\xd1\x83\xd0\xbb\xd1\x8c\xd1\x82\xd0\xb0\xd1\x82\xd0\xb0', choices=[(b'processed', b'Processed'), (b'hold', b'Hold'), (b'cancel', b'Cancel'), (b'success', b'Success'), (b'fail', b'Fail')])),
('scid', models.PositiveIntegerField(default=528277, verbose_name=b'\xd0\x9d\xd0\xbe\xd0\xbc\xd0\xb5\xd1\x80 \xd0\xb2\xd0\xb8\xd1\x82\xd1\x80\xd0\xb8\xd0\xbd\xd1\x8b')),
('shop_id', models.PositiveIntegerField(default=104674, verbose_name=b'ID \xd0\xbc\xd0\xb0\xd0\xb3\xd0\xb0\xd0\xb7\xd0\xb8\xd0\xbd\xd0\xb0')),
('payment_type', models.CharField(default=b'pc', max_length=2, verbose_name=b'\xd0\xa1\xd0\xbf\xd0\xbe\xd1\x81\xd0\xbe\xd0\xb1 \xd0\xbf\xd0\xbb\xd0\xb0\xd1\x82\xd0\xb5\xd0\xb6\xd0\xb0', choices=[(b'ab', '\u0410\u043b\u044c\u0444\u0430-\u041a\u043b\u0438\u043a'), (b'ac', '\u0411\u0430\u043d\u043a\u043e\u0432\u0441\u043a\u0430\u044f \u043a\u0430\u0440\u0442\u0430'), (b'gp', '\u041d\u0430\u043b\u0438\u0447\u043d\u044b\u0435 \u0447\u0435\u0440\u0435\u0437 \u0442\u0435\u0440\u043c\u0438\u043d\u0430\u043b'), (b'ma', 'MasterPass'), (b'mc', '\u041c\u043e\u0431\u0438\u043b\u044c\u043d\u0430\u044f \u043a\u043e\u043c\u043c\u0435\u0440\u0446\u0438\u044f'), (b'pb', '\u0418\u043d\u0442\u0435\u0440\u043d\u0435\u0442-\u0431\u0430\u043d\u043a \u041f\u0440\u043e\u043c\u0441\u0432\u044f\u0437\u044c\u0431\u0430\u043d\u043a\u0430'), (b'pc', '\u041a\u043e\u0448\u0435\u043b\u0435\u043a \u042f\u043d\u0434\u0435\u043a\u0441.\u0414\u0435\u043d\u0435\u0433'), (b'sb', '\u0421\u0431\u0435\u0440\u0431\u0430\u043d\u043a \u041e\u043d\u043b\u0430\u0439\u043d'), (b'wm', '\u041a\u043e\u0448\u0435\u043b\u0435\u043a WebMoney')])),
('invoice_id', models.PositiveIntegerField(null=True, verbose_name=b'\xd0\x9d\xd0\xbe\xd0\xbc\xd0\xb5\xd1\x80 \xd1\x82\xd1\x80\xd0\xb0\xd0\xbd\xd0\xb7\xd0\xb0\xd0\xba\xd1\x86\xd0\xb8\xd0\xb8 \xd0\xbe\xd0\xbf\xd0\xb5\xd1\x80\xd0\xb0\xd1\x82\xd0\xbe\xd1\x80\xd0\xb0', blank=True)),
('order_amount', models.FloatField(verbose_name=b'\xd0\xa1\xd1\x83\xd0\xbc\xd0\xbc\xd0\xb0 \xd0\xb7\xd0\xb0\xd0\xba\xd0\xb0\xd0\xb7\xd0\xb0')),
('shop_amount', models.DecimalField(decimal_places=2, max_digits=15, blank=True, help_text=b'\xd0\x97\xd0\xb0 \xd0\xb2\xd1\x8b\xd1\x87\xd0\xb5\xd1\x82\xd0\xbe\xd0\xbc \xd0\xbf\xd1\x80\xd0\xbe\xd1\x86\xd0\xb5\xd0\xbd\xd1\x82\xd0\xb0 \xd0\xbe\xd0\xbf\xd0\xb5\xd1\x80\xd0\xb0\xd1\x82\xd0\xbe\xd1\x80\xd0\xb0', null=True, verbose_name=b'\xd0\xa1\xd1\x83\xd0\xbc\xd0\xbc\xd0\xb0 \xd0\xbf\xd0\xbe\xd0\xbb\xd1\x83\xd1\x87\xd0\xb5\xd0\xbd\xd0\xbd\xd0\xb0\xd1\x8f \xd0\xbd\xd0\xb0 \xd1\x80/\xd1\x81')),
('order_currency', models.PositiveIntegerField(default=643, verbose_name=b'\xd0\x92\xd0\xb0\xd0\xbb\xd1\x8e\xd1\x82\xd0\xb0', choices=[(643, '\u0420\u0443\u0431\u043b\u0438'), (10643, '\u0422\u0435\u0441\u0442\u043e\u0432\u0430\u044f \u0432\u0430\u043b\u044e\u0442\u0430')])),
('shop_currency', models.PositiveIntegerField(default=643, null=True, verbose_name=b'\xd0\x92\xd0\xb0\xd0\xbb\xd1\x8e\xd1\x82\xd0\xb0 \xd0\xbf\xd0\xbe\xd0\xbb\xd1\x83\xd1\x87\xd0\xb5\xd0\xbd\xd0\xbd\xd0\xb0\xd1\x8f \xd0\xbd\xd0\xb0 \xd1\x80/\xd1\x81', blank=True, choices=[(643, '\u0420\u0443\u0431\u043b\u0438'), (10643, '\u0422\u0435\u0441\u0442\u043e\u0432\u0430\u044f \u0432\u0430\u043b\u044e\u0442\u0430')])),
('payer_code', models.CharField(max_length=33, null=True, verbose_name=b'\xd0\x9d\xd0\xbe\xd0\xbc\xd0\xb5\xd1\x80 \xd0\xb2\xd0\xb8\xd1\x80\xd1\x82\xd1\x83\xd0\xb0\xd0\xbb\xd1\x8c\xd0\xbd\xd0\xbe\xd0\xb3\xd0\xbe \xd1\x81\xd1\x87\xd0\xb5\xd1\x82\xd0\xb0', blank=True)),
('success_url', models.URLField(default=b'/kassa/success/', verbose_name=b'URL \xd1\x83\xd1\x81\xd0\xbf\xd0\xb5\xd1\x88\xd0\xbd\xd0\xbe\xd0\xb9 \xd0\xbe\xd0\xbf\xd0\xbb\xd0\xb0\xd1\x82\xd1\x8b')),
('fail_url', models.URLField(default=b'/kassa/fail/', verbose_name=b'URL \xd0\xbd\xd0\xb5\xd1\x83\xd1\x81\xd0\xbf\xd0\xb5\xd1\x88\xd0\xbd\xd0\xbe\xd0\xb9 \xd0\xbe\xd0\xbf\xd0\xbb\xd0\xb0\xd1\x82\xd1\x8b')),
('cps_email', models.EmailField(max_length=254, null=True, verbose_name=b'\xd0\x9f\xd0\xbe\xd1\x87\xd1\x82\xd1\x8b \xd0\xbf\xd0\xbb\xd0\xb0\xd1\x82\xd0\xb5\xd0\xbb\xd1\x8c\xd1\x89\xd0\xb8\xd0\xba\xd0\xb0', blank=True)),
('cps_phone', models.CharField(max_length=15, null=True, verbose_name=b'\xd0\xa2\xd0\xb5\xd0\xbb\xd0\xb5\xd1\x84\xd0\xbe\xd0\xbd \xd0\xbf\xd0\xbb\xd0\xb0\xd1\x82\xd0\xb5\xd0\xbb\xd1\x8c\xd1\x89\xd0\xb8\xd0\xba\xd0\xb0', blank=True)),
('created', models.DateTimeField(auto_now_add=True, verbose_name=b'\xd0\x92\xd1\x80\xd0\xb5\xd0\xbc\xd1\x8f \xd1\x81\xd0\xbe\xd0\xb7\xd0\xb4\xd0\xb0\xd0\xbd\xd0\xb8\xd1\x8f')),
('performed_datetime', models.DateTimeField(null=True, verbose_name=b'\xd0\x92\xd1\x8b\xd0\xbf\xd0\xbe\xd0\xbb\xd0\xbd\xd0\xb5\xd0\xbd\xd0\xb8\xd0\xb5 \xd0\xb7\xd0\xb0\xd0\xbf\xd1\x80\xd0\xbe\xd1\x81\xd0\xb0', blank=True)),
('user', models.ForeignKey(verbose_name=b'\xd0\x9f\xd0\xbe\xd0\xbb\xd1\x8c\xd0\xb7\xd0\xbe\xd0\xb2\xd0\xb0\xd1\x82\xd0\xb5\xd0\xbb\xd1\x8c', blank=True, to=settings.AUTH_USER_MODEL, null=True)),
],
options={
'ordering': ('created',),
'verbose_name': '\u041f\u043b\u0430\u0442\u0435\u0436',
'verbose_name_plural': '\u041f\u043b\u0430\u0442\u0435\u0436\u0438',
},
),
]
| 137.73913 | 1,127 | 0.692077 | 1,089 | 6,336 | 3.969697 | 0.17539 | 0.059681 | 0.041638 | 0.052047 | 0.50613 | 0.41684 | 0.371733 | 0.310664 | 0.310664 | 0.310664 | 0 | 0.218997 | 0.102746 | 6,336 | 45 | 1,128 | 140.8 | 0.541425 | 0.003314 | 0 | 0 | 0 | 0.692308 | 0.601616 | 0.522889 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.025641 | 0.102564 | 0 | 0.179487 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
c4bf1144ecdcdd6c997fa7765905f5fbb5f404b6 | 13,232 | py | Python | sdk/python/build/lib/pulumi_databricks/databricks/notebook.py | ingenii-solutions/pulumi-databricks | f03ecc4e190a4e59eb635663f6408350dcab42ea | [
"ECL-2.0",
"Apache-2.0"
] | 2 | 2021-12-10T07:35:59.000Z | 2022-03-23T22:53:55.000Z | sdk/python/pulumi_databricks/databricks/notebook.py | ingenii-solutions/pulumi-databricks | f03ecc4e190a4e59eb635663f6408350dcab42ea | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_databricks/databricks/notebook.py | ingenii-solutions/pulumi-databricks | f03ecc4e190a4e59eb635663f6408350dcab42ea | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
__all__ = ['NotebookArgs', 'Notebook']
@pulumi.input_type
class NotebookArgs:
def __init__(__self__, *,
path: pulumi.Input[str],
content_base64: Optional[pulumi.Input[str]] = None,
language: Optional[pulumi.Input[str]] = None,
md5: Optional[pulumi.Input[str]] = None,
object_id: Optional[pulumi.Input[int]] = None,
object_type: Optional[pulumi.Input[str]] = None,
source: Optional[pulumi.Input[str]] = None):
"""
The set of arguments for constructing a Notebook resource.
"""
pulumi.set(__self__, "path", path)
if content_base64 is not None:
pulumi.set(__self__, "content_base64", content_base64)
if language is not None:
pulumi.set(__self__, "language", language)
if md5 is not None:
pulumi.set(__self__, "md5", md5)
if object_id is not None:
pulumi.set(__self__, "object_id", object_id)
if object_type is not None:
pulumi.set(__self__, "object_type", object_type)
if source is not None:
pulumi.set(__self__, "source", source)
@property
@pulumi.getter
def path(self) -> pulumi.Input[str]:
return pulumi.get(self, "path")
@path.setter
def path(self, value: pulumi.Input[str]):
pulumi.set(self, "path", value)
@property
@pulumi.getter(name="contentBase64")
def content_base64(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "content_base64")
@content_base64.setter
def content_base64(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "content_base64", value)
@property
@pulumi.getter
def language(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "language")
@language.setter
def language(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "language", value)
@property
@pulumi.getter
def md5(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "md5")
@md5.setter
def md5(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "md5", value)
@property
@pulumi.getter(name="objectId")
def object_id(self) -> Optional[pulumi.Input[int]]:
return pulumi.get(self, "object_id")
@object_id.setter
def object_id(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "object_id", value)
@property
@pulumi.getter(name="objectType")
def object_type(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "object_type")
@object_type.setter
def object_type(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "object_type", value)
@property
@pulumi.getter
def source(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "source")
@source.setter
def source(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "source", value)
@pulumi.input_type
class _NotebookState:
def __init__(__self__, *,
content_base64: Optional[pulumi.Input[str]] = None,
language: Optional[pulumi.Input[str]] = None,
md5: Optional[pulumi.Input[str]] = None,
object_id: Optional[pulumi.Input[int]] = None,
object_type: Optional[pulumi.Input[str]] = None,
path: Optional[pulumi.Input[str]] = None,
source: Optional[pulumi.Input[str]] = None,
url: Optional[pulumi.Input[str]] = None):
"""
Input properties used for looking up and filtering Notebook resources.
"""
if content_base64 is not None:
pulumi.set(__self__, "content_base64", content_base64)
if language is not None:
pulumi.set(__self__, "language", language)
if md5 is not None:
pulumi.set(__self__, "md5", md5)
if object_id is not None:
pulumi.set(__self__, "object_id", object_id)
if object_type is not None:
pulumi.set(__self__, "object_type", object_type)
if path is not None:
pulumi.set(__self__, "path", path)
if source is not None:
pulumi.set(__self__, "source", source)
if url is not None:
pulumi.set(__self__, "url", url)
@property
@pulumi.getter(name="contentBase64")
def content_base64(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "content_base64")
@content_base64.setter
def content_base64(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "content_base64", value)
@property
@pulumi.getter
def language(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "language")
@language.setter
def language(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "language", value)
@property
@pulumi.getter
def md5(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "md5")
@md5.setter
def md5(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "md5", value)
@property
@pulumi.getter(name="objectId")
def object_id(self) -> Optional[pulumi.Input[int]]:
return pulumi.get(self, "object_id")
@object_id.setter
def object_id(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "object_id", value)
@property
@pulumi.getter(name="objectType")
def object_type(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "object_type")
@object_type.setter
def object_type(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "object_type", value)
@property
@pulumi.getter
def path(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "path")
@path.setter
def path(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "path", value)
@property
@pulumi.getter
def source(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "source")
@source.setter
def source(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "source", value)
@property
@pulumi.getter
def url(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "url")
@url.setter
def url(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "url", value)
class Notebook(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
content_base64: Optional[pulumi.Input[str]] = None,
language: Optional[pulumi.Input[str]] = None,
md5: Optional[pulumi.Input[str]] = None,
object_id: Optional[pulumi.Input[int]] = None,
object_type: Optional[pulumi.Input[str]] = None,
path: Optional[pulumi.Input[str]] = None,
source: Optional[pulumi.Input[str]] = None,
__props__=None):
"""
Create a Notebook resource with the given unique name, props, and options.
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: NotebookArgs,
opts: Optional[pulumi.ResourceOptions] = None):
"""
Create a Notebook resource with the given unique name, props, and options.
:param str resource_name: The name of the resource.
:param NotebookArgs args: The arguments to use to populate this resource's properties.
:param pulumi.ResourceOptions opts: Options for the resource.
"""
...
def __init__(__self__, resource_name: str, *args, **kwargs):
resource_args, opts = _utilities.get_resource_args_opts(NotebookArgs, pulumi.ResourceOptions, *args, **kwargs)
if resource_args is not None:
__self__._internal_init(resource_name, opts, **resource_args.__dict__)
else:
__self__._internal_init(resource_name, *args, **kwargs)
def _internal_init(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
content_base64: Optional[pulumi.Input[str]] = None,
language: Optional[pulumi.Input[str]] = None,
md5: Optional[pulumi.Input[str]] = None,
object_id: Optional[pulumi.Input[int]] = None,
object_type: Optional[pulumi.Input[str]] = None,
path: Optional[pulumi.Input[str]] = None,
source: Optional[pulumi.Input[str]] = None,
__props__=None):
if opts is None:
opts = pulumi.ResourceOptions()
if not isinstance(opts, pulumi.ResourceOptions):
raise TypeError('Expected resource options to be a ResourceOptions instance')
if opts.version is None:
opts.version = _utilities.get_version()
if opts.id is None:
if __props__ is not None:
raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource')
__props__ = NotebookArgs.__new__(NotebookArgs)
__props__.__dict__["content_base64"] = content_base64
__props__.__dict__["language"] = language
__props__.__dict__["md5"] = md5
__props__.__dict__["object_id"] = object_id
__props__.__dict__["object_type"] = object_type
if path is None and not opts.urn:
raise TypeError("Missing required property 'path'")
__props__.__dict__["path"] = path
__props__.__dict__["source"] = source
__props__.__dict__["url"] = None
super(Notebook, __self__).__init__(
'databricks:databricks/notebook:Notebook',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
content_base64: Optional[pulumi.Input[str]] = None,
language: Optional[pulumi.Input[str]] = None,
md5: Optional[pulumi.Input[str]] = None,
object_id: Optional[pulumi.Input[int]] = None,
object_type: Optional[pulumi.Input[str]] = None,
path: Optional[pulumi.Input[str]] = None,
source: Optional[pulumi.Input[str]] = None,
url: Optional[pulumi.Input[str]] = None) -> 'Notebook':
"""
Get an existing Notebook resource's state with the given name, id, and optional extra
properties used to qualify the lookup.
:param str resource_name: The unique name of the resulting resource.
:param pulumi.Input[str] id: The unique provider ID of the resource to lookup.
:param pulumi.ResourceOptions opts: Options for the resource.
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _NotebookState.__new__(_NotebookState)
__props__.__dict__["content_base64"] = content_base64
__props__.__dict__["language"] = language
__props__.__dict__["md5"] = md5
__props__.__dict__["object_id"] = object_id
__props__.__dict__["object_type"] = object_type
__props__.__dict__["path"] = path
__props__.__dict__["source"] = source
__props__.__dict__["url"] = url
return Notebook(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter(name="contentBase64")
def content_base64(self) -> pulumi.Output[Optional[str]]:
return pulumi.get(self, "content_base64")
@property
@pulumi.getter
def language(self) -> pulumi.Output[Optional[str]]:
return pulumi.get(self, "language")
@property
@pulumi.getter
def md5(self) -> pulumi.Output[Optional[str]]:
return pulumi.get(self, "md5")
@property
@pulumi.getter(name="objectId")
def object_id(self) -> pulumi.Output[int]:
return pulumi.get(self, "object_id")
@property
@pulumi.getter(name="objectType")
def object_type(self) -> pulumi.Output[str]:
return pulumi.get(self, "object_type")
@property
@pulumi.getter
def path(self) -> pulumi.Output[str]:
return pulumi.get(self, "path")
@property
@pulumi.getter
def source(self) -> pulumi.Output[Optional[str]]:
return pulumi.get(self, "source")
@property
@pulumi.getter
def url(self) -> pulumi.Output[str]:
return pulumi.get(self, "url")
| 36.960894 | 134 | 0.617518 | 1,524 | 13,232 | 5.089895 | 0.089239 | 0.100683 | 0.156762 | 0.155988 | 0.784195 | 0.769756 | 0.738817 | 0.712518 | 0.679257 | 0.622019 | 0 | 0.009027 | 0.263301 | 13,232 | 357 | 135 | 37.064426 | 0.786725 | 0.083812 | 0 | 0.76259 | 1 | 0 | 0.072243 | 0.003269 | 0 | 0 | 0 | 0 | 0 | 1 | 0.161871 | false | 0.003597 | 0.017986 | 0.082734 | 0.276978 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
f213e26df3d02ecc5dae02099558948cdda65e31 | 54 | py | Python | Chapter 03/ch3_1_32.py | bpbpublications/TEST-YOUR-SKILLS-IN-PYTHON-LANGUAGE | f6a4194684515495d00aa38347a725dd08f39a0c | [
"MIT"
] | null | null | null | Chapter 03/ch3_1_32.py | bpbpublications/TEST-YOUR-SKILLS-IN-PYTHON-LANGUAGE | f6a4194684515495d00aa38347a725dd08f39a0c | [
"MIT"
] | null | null | null | Chapter 03/ch3_1_32.py | bpbpublications/TEST-YOUR-SKILLS-IN-PYTHON-LANGUAGE | f6a4194684515495d00aa38347a725dd08f39a0c | [
"MIT"
] | null | null | null | num = '-$100.05'
print(num.zfill(4))
#-$100.05
| 10.8 | 20 | 0.5 | 9 | 54 | 3 | 0.666667 | 0.37037 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.261905 | 0.222222 | 54 | 4 | 21 | 13.5 | 0.380952 | 0.148148 | 0 | 0 | 0 | 0 | 0.2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6 |
4844a8f16352020be7b59b7b0466bf9a7b5849ce | 176 | py | Python | scraping-code/util/sentence.py | sahansk2/uiuc_pathfinder | 8a6fe66f7675f96f0b60837ad99945fb8ca89846 | [
"MIT"
] | null | null | null | scraping-code/util/sentence.py | sahansk2/uiuc_pathfinder | 8a6fe66f7675f96f0b60837ad99945fb8ca89846 | [
"MIT"
] | null | null | null | scraping-code/util/sentence.py | sahansk2/uiuc_pathfinder | 8a6fe66f7675f96f0b60837ad99945fb8ca89846 | [
"MIT"
] | null | null | null | # Taken from https://stackoverflow.com/a/31505798
# License is CC By SA 4.0
from nltk import tokenize
def split_into_sentences(text):
return tokenize.sent_tokenize(text)
| 22 | 49 | 0.772727 | 28 | 176 | 4.75 | 0.857143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.066225 | 0.142045 | 176 | 7 | 50 | 25.142857 | 0.81457 | 0.403409 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0.333333 | 0.333333 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 6 |
48802f623fbeeca2ea31dc6f6e1c5fc17e244204 | 42 | py | Python | apps/oob/context_processors/__init__.py | dbjennings/order-of-business | 8f424bd36b323e4c102b3d8704bb576c150d585a | [
"MIT"
] | null | null | null | apps/oob/context_processors/__init__.py | dbjennings/order-of-business | 8f424bd36b323e4c102b3d8704bb576c150d585a | [
"MIT"
] | null | null | null | apps/oob/context_processors/__init__.py | dbjennings/order-of-business | 8f424bd36b323e4c102b3d8704bb576c150d585a | [
"MIT"
] | null | null | null | from apps.oob.context_processors import *
| 21 | 41 | 0.833333 | 6 | 42 | 5.666667 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.095238 | 42 | 1 | 42 | 42 | 0.894737 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
6fea9c83a7fd6f8636b45e93fb8bd226eb9faf8a | 74 | py | Python | .idea/VirtualEnvironment/Lib/site-packages/tests/outcomes/lib/exception_in_user_code_2/main.py | Vladpetr/NewsPortal | cd4127fbc09d9c8f5e65c8ae699856c6d380a320 | [
"Apache-2.0"
] | null | null | null | .idea/VirtualEnvironment/Lib/site-packages/tests/outcomes/lib/exception_in_user_code_2/main.py | Vladpetr/NewsPortal | cd4127fbc09d9c8f5e65c8ae699856c6d380a320 | [
"Apache-2.0"
] | 5 | 2021-04-08T22:02:15.000Z | 2022-02-10T14:53:45.000Z | .idea/VirtualEnvironment/Lib/site-packages/tests/outcomes/lib/exception_in_user_code_2/main.py | Vladpetr/NewsPortal | cd4127fbc09d9c8f5e65c8ae699856c6d380a320 | [
"Apache-2.0"
] | null | null | null | print(123)
try:
print(0 / 0)
except ArithmeticError:
print(0 / 0)
| 12.333333 | 23 | 0.621622 | 11 | 74 | 4.181818 | 0.545455 | 0.26087 | 0.304348 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.125 | 0.243243 | 74 | 5 | 24 | 14.8 | 0.696429 | 0 | 0 | 0.4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 0.6 | 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 | 0 | 0 | 0 | 1 | 0 | 6 |
82f5bdf5a7093034c21878674b13449c756276a8 | 43 | py | Python | util/request_util.py | Mozhuowen/projectJ-eveserver | a1373adab15d1860b179b590f9e2cbc54ef66b56 | [
"BSD-3-Clause"
] | 1 | 2016-06-27T05:53:40.000Z | 2016-06-27T05:53:40.000Z | util/request_util.py | Mozhuowen/projectJ-eveserver | a1373adab15d1860b179b590f9e2cbc54ef66b56 | [
"BSD-3-Clause"
] | null | null | null | util/request_util.py | Mozhuowen/projectJ-eveserver | a1373adab15d1860b179b590f9e2cbc54ef66b56 | [
"BSD-3-Clause"
] | null | null | null | #!coding=utf-8
from flask import request
| 8.6 | 25 | 0.744186 | 7 | 43 | 4.571429 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.027778 | 0.162791 | 43 | 4 | 26 | 10.75 | 0.861111 | 0.302326 | 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 |
962c9396b6ac520154142aabe67c391e2f9581bb | 27 | py | Python | src/euler_python_package/euler_python/medium/p434.py | wilsonify/euler | 5214b776175e6d76a7c6d8915d0e062d189d9b79 | [
"MIT"
] | null | null | null | src/euler_python_package/euler_python/medium/p434.py | wilsonify/euler | 5214b776175e6d76a7c6d8915d0e062d189d9b79 | [
"MIT"
] | null | null | null | src/euler_python_package/euler_python/medium/p434.py | wilsonify/euler | 5214b776175e6d76a7c6d8915d0e062d189d9b79 | [
"MIT"
] | null | null | null | def problem434():
pass
| 9 | 17 | 0.62963 | 3 | 27 | 5.666667 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.15 | 0.259259 | 27 | 2 | 18 | 13.5 | 0.7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | true | 0.5 | 0 | 0 | 0.5 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 |
962e40d120c8cc164278cbb33cbe57594f73f822 | 1,698 | py | Python | chibp/api.py | chrisdunne/hibp | 3ea1edb5f3d1cccc4f9ea6aba5b19f39cc862a6f | [
"MIT"
] | null | null | null | chibp/api.py | chrisdunne/hibp | 3ea1edb5f3d1cccc4f9ea6aba5b19f39cc862a6f | [
"MIT"
] | null | null | null | chibp/api.py | chrisdunne/hibp | 3ea1edb5f3d1cccc4f9ea6aba5b19f39cc862a6f | [
"MIT"
] | null | null | null | import requests
import urllib.parse
def get(email, key):
if isinstance(email, str):
return requests.get(
f"https://haveibeenpwned.com/api/v3/breachedaccount/{urllib.parse.quote(email)}",
headers={"hibp-api-key": key}
).text
if isinstance(email, list):
result = {}
for e in email:
r = requests.get(
f"https://haveibeenpwned.com/api/v3/breachedaccount/{urllib.parse.quote(e)}",
headers={"hibp-api-key": key}
)
result[e] = r.text
return result
def get_full(email, key):
if isinstance(email, str):
return requests.get(
f"https://haveibeenpwned.com/api/v3/breachedaccount/{urllib.parse.quote(email)}?truncateResponse=false",
headers={"hibp-api-key": key}
).text
if isinstance(email, list):
result = {}
for e in email:
r = requests.get(
f"https://haveibeenpwned.com/api/v3/breachedaccount/{urllib.parse.quote(e)}?truncateResponse=false",
headers={"hibp-api-key": key}
)
result[e] = r.text
return result
def get_breaches(key):
return requests.get(
f"https://haveibeenpwned.com/api/v3/breaches",
headers={"hibp-api-key": key}
).text
def get_breach(site, key):
return requests.get(
f"https://haveibeenpwned.com/api/v3/breach/{site}",
headers={"hibp-api-key": key}
).text
def get_pastes(email, key):
return requests.get(
f"https://haveibeenpwned.com/api/v3/pasteaccount/{urllib.parse.quote(email)}",
headers={"hibp-api-key": key}
).text | 31.444444 | 116 | 0.577739 | 201 | 1,698 | 4.860697 | 0.18408 | 0.078813 | 0.085977 | 0.121801 | 0.897646 | 0.897646 | 0.897646 | 0.854657 | 0.793245 | 0.793245 | 0 | 0.005696 | 0.276207 | 1,698 | 54 | 117 | 31.444444 | 0.78926 | 0 | 0 | 0.659574 | 0 | 0.042553 | 0.349029 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.106383 | false | 0 | 0.042553 | 0.06383 | 0.297872 | 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 |
96589c50e48506d32dd7cccba7de568a6a38975b | 12,063 | py | Python | create_lfw_dataset.py | kevincao91/kevin.ai.face_recognition | 4813441f8989985301a547c0464e3e945753357e | [
"MIT"
] | null | null | null | create_lfw_dataset.py | kevincao91/kevin.ai.face_recognition | 4813441f8989985301a547c0464e3e945753357e | [
"MIT"
] | null | null | null | create_lfw_dataset.py | kevincao91/kevin.ai.face_recognition | 4813441f8989985301a547c0464e3e945753357e | [
"MIT"
] | null | null | null | # coding: utf-8
"""
将原始数据集进行划分成训练集、验证集和测试集或整体成为测试集
"""
from tqdm import tqdm
import numpy as np
import os
import glob
from config import opt
import random
lfw_img_num = 18982
lfw_idx_num = 5749
lfw_data_dir = opt.lfw_data_dir + '/lfw/'
indices_all_file_path = 'dataset/lfw_all_indices.txt'
indices_trainval_file_path = 'dataset/lfw_trainval_indices.txt'
indices_test_file_path = 'dataset/lfw_test_indices.txt'
train_file_path = 'dataset/lfw_train_triplet.txt'
valid_file_path = 'dataset/lfw_valid_pairs.txt'
test_file_path = 'dataset/lfw_test_pairs.txt'
all_test_file_path = 'dataset/lfw_all_test_pairs.txt'
train_percent = 0.5
valid_percent = 0.2
test_percent = 0.3
def make_indices_file():
with open(indices_all_file_path, 'w') as f:
for root, dirs, files in os.walk(lfw_data_dir):
idx = 0
for sDir in dirs:
imgs_path_list = glob.glob(os.path.join(root, sDir) + '/*.jpg')
imgs_num = len(imgs_path_list)
file_string = ''
for i in range(1, imgs_num + 1):
file_string += '\t'
file_string += str(i)
line = str(idx) + '\t' + sDir + '\t' + file_string + '\n'
f.write(line)
idx += 1
print('load %d people file' % lfw_idx_num)
def split_indices_file():
trainval_num = round(lfw_idx_num * (train_percent + valid_percent))
test_num = round(lfw_idx_num * test_percent)
print('trainval set load %d people file' % trainval_num)
print('test set load %d people file' % test_num)
with open(indices_all_file_path, 'r') as f:
lines = f.readlines()
trainval_file = open(indices_trainval_file_path, 'w')
test_file = open(indices_test_file_path, 'w')
random.shuffle(lines)
idx = 1
for line in lines:
if idx <= trainval_num:
trainval_file.write(line)
else:
test_file.write(line)
idx += 1
trainval_file.close()
test_file.close()
def make_train_file(num_triplets):
with open(indices_trainval_file_path, 'r') as f:
lines = f.readlines()
name_list = []
inds = dict()
idx = 0 # 重新排序号
for line in lines:
words = line.split()
name = words[1]
files = words[2:]
if name not in inds:
inds[idx] = []
name_list.append(name)
for file in files:
inds[idx].append(file)
idx += 1
n_classes = len(inds)
print('[train set] num_triplets: ', num_triplets, 'n_classes: ', n_classes)
triplets = []
# Indices = array of labels and each label is an array of indices
indices_dic = inds
with open(train_file_path, 'w') as f:
f.write(str(num_triplets) + '\t' + str(n_classes) + '\n')
for x in range(num_triplets):
c1 = np.random.randint(0, n_classes - 1)
c2 = np.random.randint(0, n_classes - 1)
while len(indices_dic[c1]) < 2:
c1 = np.random.randint(0, n_classes - 1)
while c1 == c2:
c2 = np.random.randint(0, n_classes - 1)
if len(indices_dic[c1]) == 2: # hack to speed up process
n1, n2 = 0, 1
else:
n1 = np.random.randint(0, len(indices_dic[c1]) - 1)
n2 = np.random.randint(0, len(indices_dic[c1]) - 1)
while n1 == n2:
n2 = np.random.randint(0, len(indices_dic[c1]) - 1)
if len(indices_dic[c2]) == 1:
n3 = 0
else:
n3 = np.random.randint(0, len(indices_dic[c2]) - 1)
triplets.append(
[name_list[c1], indices_dic[c1][n1], indices_dic[c1][n2], name_list[c2], indices_dic[c2][n3], c1, c2])
line = name_list[c1] + '\t' + indices_dic[c1][n1] + '\t' + indices_dic[c1][n2] + '\t' + \
name_list[c2] + '\t' + indices_dic[c2][n3] + '\t' + str(c1) + '\t' + str(c2) + '\n'
f.write(line)
def make_valid_file(num_pairs):
with open(indices_trainval_file_path, 'r') as f:
lines = f.readlines()
name_list = []
inds = dict()
idx = 0 # 重新排序号
for line in lines:
words = line.split()
name = words[1]
files = words[2:]
if name not in inds:
inds[idx] = []
name_list.append(name)
for file in files:
inds[idx].append(file)
idx += 1
n_classes = len(inds)
print('[valid set] num_pairs: ', num_pairs, 'n_classes: ', n_classes)
pairs = []
# Indices = array of labels and each label is an array of indices
indices_dic = inds
with open(valid_file_path, 'w') as f:
f.write(str(num_pairs) + '\t' + str(n_classes) + '\n')
for x in range(num_pairs):
if x < num_pairs/2: # positive pairs
c1 = np.random.randint(0, n_classes - 1)
while len(indices_dic[c1]) < 2:
c1 = np.random.randint(0, n_classes - 1)
if len(indices_dic[c1]) == 2: # hack to speed up process
n1, n2 = 0, 1
else:
n1 = np.random.randint(0, len(indices_dic[c1]) - 1)
n2 = np.random.randint(0, len(indices_dic[c1]) - 1)
while n1 == n2:
n2 = np.random.randint(0, len(indices_dic[c1]) - 1)
pairs.append(
[name_list[c1], indices_dic[c1][n1], indices_dic[c1][n2], c1])
line = name_list[c1] + '\t' + indices_dic[c1][n1] + '\t' + indices_dic[c1][n2] + '\t' + str(c1) + '\n'
else: # negative pairs
c1 = np.random.randint(0, n_classes - 1)
c2 = np.random.randint(0, n_classes - 1)
while c1 == c2:
c2 = np.random.randint(0, n_classes - 1)
if len(indices_dic[c1]) == 1: # hack to speed up process
n1 = 0
else:
n1 = np.random.randint(0, len(indices_dic[c1]) - 1)
if len(indices_dic[c2]) == 1: # hack to speed up process
n2 = 0
else:
n2 = np.random.randint(0, len(indices_dic[c2]) - 1)
pairs.append(
[name_list[c1], indices_dic[c1][n1], name_list[c2], indices_dic[c2][n2], c1, c2])
line = name_list[c1] + '\t' + indices_dic[c1][n1] + '\t' + \
name_list[c2] + '\t' + indices_dic[c2][n2] + '\t' + str(c1) + '\t' + str(c2) + '\n'
f.write(line)
def make_test_file(num_pairs):
with open(indices_test_file_path, 'r') as f:
lines = f.readlines()
name_list = []
inds = dict()
idx = 0 # 重新排序号
for line in lines:
words = line.split()
name = words[1]
files = words[2:]
if name not in inds:
inds[idx] = []
name_list.append(name)
for file in files:
inds[idx].append(file)
idx += 1
n_classes = len(inds)
print('[test set] num_pairs: ', num_pairs, 'n_classes: ', n_classes)
pairs = []
# Indices = array of labels and each label is an array of indices
indices_dic = inds
with open(test_file_path, 'w') as f:
f.write(str(num_pairs) + '\t' + str(n_classes) + '\n')
for x in range(num_pairs):
if x < num_pairs/2: # positive pairs
c1 = np.random.randint(0, n_classes - 1)
while len(indices_dic[c1]) < 2:
c1 = np.random.randint(0, n_classes - 1)
if len(indices_dic[c1]) == 2: # hack to speed up process
n1, n2 = 0, 1
else:
n1 = np.random.randint(0, len(indices_dic[c1]) - 1)
n2 = np.random.randint(0, len(indices_dic[c1]) - 1)
while n1 == n2:
n2 = np.random.randint(0, len(indices_dic[c1]) - 1)
pairs.append(
[name_list[c1], indices_dic[c1][n1], indices_dic[c1][n2], c1])
line = name_list[c1] + '\t' + indices_dic[c1][n1] + '\t' + indices_dic[c1][n2] + '\t' + str(c1) + '\n'
else: # negative pairs
c1 = np.random.randint(0, n_classes - 1)
c2 = np.random.randint(0, n_classes - 1)
while c1 == c2:
c2 = np.random.randint(0, n_classes - 1)
if len(indices_dic[c1]) == 1: # hack to speed up process
n1 = 0
else:
n1 = np.random.randint(0, len(indices_dic[c1]) - 1)
if len(indices_dic[c2]) == 1: # hack to speed up process
n2 = 0
else:
n2 = np.random.randint(0, len(indices_dic[c2]) - 1)
pairs.append(
[name_list[c1], indices_dic[c1][n1], name_list[c2], indices_dic[c2][n2], c1, c2])
line = name_list[c1] + '\t' + indices_dic[c1][n1] + '\t' + \
name_list[c2] + '\t' + indices_dic[c2][n2] + '\t' + str(c1) + '\t' + str(c2) + '\n'
f.write(line)
def make_all_test_file(num_pairs):
with open(indices_all_file_path, 'r') as f:
lines = f.readlines()
name_list = []
inds = dict()
for line in lines:
words = line.split()
idx = int(words[0]) # 获取原始编号
name = words[1]
files = words[2:]
if name not in inds:
inds[idx] = []
name_list.append(name)
for file in files:
inds[idx].append(file)
n_classes = len(inds)
print('[all test set] num_pairs: ', num_pairs, 'n_classes: ', n_classes)
pairs = []
# Indices = array of labels and each label is an array of indices
indices_dic = inds
with open(all_test_file_path, 'w') as f:
f.write(str(num_pairs) + '\t' + str(n_classes) + '\n')
for x in range(num_pairs):
if x < num_pairs/2: # positive pairs
c1 = np.random.randint(0, n_classes - 1)
while len(indices_dic[c1]) < 2:
c1 = np.random.randint(0, n_classes - 1)
if len(indices_dic[c1]) == 2: # hack to speed up process
n1, n2 = 0, 1
else:
n1 = np.random.randint(0, len(indices_dic[c1]) - 1)
n2 = np.random.randint(0, len(indices_dic[c1]) - 1)
while n1 == n2:
n2 = np.random.randint(0, len(indices_dic[c1]) - 1)
pairs.append(
[name_list[c1], indices_dic[c1][n1], indices_dic[c1][n2], c1])
line = name_list[c1] + '\t' + indices_dic[c1][n1] + '\t' + indices_dic[c1][n2] + '\t' + str(c1) + '\n'
else: # negative pairs
c1 = np.random.randint(0, n_classes - 1)
c2 = np.random.randint(0, n_classes - 1)
while c1 == c2:
c2 = np.random.randint(0, n_classes - 1)
if len(indices_dic[c1]) == 1: # hack to speed up process
n1 = 0
else:
n1 = np.random.randint(0, len(indices_dic[c1]) - 1)
if len(indices_dic[c2]) == 1: # hack to speed up process
n2 = 0
else:
n2 = np.random.randint(0, len(indices_dic[c2]) - 1)
pairs.append(
[name_list[c1], indices_dic[c1][n1], name_list[c2], indices_dic[c2][n2], c1, c2])
line = name_list[c1] + '\t' + indices_dic[c1][n1] + '\t' + \
name_list[c2] + '\t' + indices_dic[c2][n2] + '\t' + str(c1) + '\t' + str(c2) + '\n'
f.write(line)
if __name__ == '__main__':
make_indices_file()
split_indices_file()
make_train_file(8000)
make_valid_file(2000)
make_test_file(3000)
make_all_test_file(100)
| 34.56447 | 118 | 0.511067 | 1,646 | 12,063 | 3.563791 | 0.074119 | 0.115922 | 0.098193 | 0.103648 | 0.797647 | 0.764576 | 0.745482 | 0.732697 | 0.728776 | 0.719229 | 0 | 0.047423 | 0.356711 | 12,063 | 348 | 119 | 34.663793 | 0.708505 | 0.05521 | 0 | 0.72119 | 0 | 0 | 0.048235 | 0.017516 | 0 | 0 | 0 | 0 | 0 | 1 | 0.022305 | false | 0 | 0.022305 | 0 | 0.04461 | 0.026022 | 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 |
965ea3b72030536fdb1b98c3e82c66a6f477daeb | 8,083 | py | Python | tests/nn/architectures/test_resnet.py | hectorcarrion/sleap | 1150c2d0b64543e07d4b2429ea245a5afaa07cee | [
"BSD-3-Clause-Clear"
] | 156 | 2020-05-01T18:43:43.000Z | 2022-03-25T10:31:18.000Z | tests/nn/architectures/test_resnet.py | oeway/sleap | 1eb06f81eb8f0bc1beedd1c3dd10902f8ff9e724 | [
"BSD-3-Clause-Clear"
] | 299 | 2020-04-20T16:37:52.000Z | 2022-03-31T23:54:48.000Z | tests/nn/architectures/test_resnet.py | oeway/sleap | 1eb06f81eb8f0bc1beedd1c3dd10902f8ff9e724 | [
"BSD-3-Clause-Clear"
] | 41 | 2020-05-14T15:25:21.000Z | 2022-03-25T12:44:54.000Z | import numpy as np
import tensorflow as tf
from sleap.nn.system import use_cpu_only
use_cpu_only() # hide GPUs for test
from sleap.nn.architectures import upsampling
from sleap.nn.architectures import resnet
from sleap.nn.config import ResNetConfig
class ResnetTests(tf.test.TestCase):
def test_resnet50(self):
resnet50 = resnet.ResNet50(pretrained=False, features_output_stride=32)
x_in = tf.keras.layers.Input((160, 160, 1))
x, x_mid = resnet50.make_backbone(x_in)
model = tf.keras.Model(x_in, x)
param_counts = [
np.prod(train_var.shape) for train_var in model.trainable_weights
]
with self.subTest("number of layers"):
self.assertEqual(len(model.layers), 175)
with self.subTest("number of trainable weights"):
self.assertEqual(len(model.trainable_weights), 212)
with self.subTest("trainable parameter count"):
self.assertEqual(np.sum(param_counts), 23528320)
with self.subTest("total parameter count"):
self.assertEqual(model.count_params(), 23581440)
with self.subTest("output shape"):
self.assertAllEqual(model.output.shape, (None, 5, 5, 2048))
def test_resnet50_stride16(self):
resnet50 = resnet.ResNet50(pretrained=False, features_output_stride=16)
x_in = tf.keras.layers.Input((160, 160, 1))
x, x_mid = resnet50.make_backbone(x_in)
model = tf.keras.Model(x_in, x)
param_counts = [
np.prod(train_var.shape) for train_var in model.trainable_weights
]
with self.subTest("number of layers"):
self.assertEqual(len(model.layers), 175)
with self.subTest("number of trainable weights"):
self.assertEqual(len(model.trainable_weights), 212)
with self.subTest("trainable parameter count"):
self.assertEqual(np.sum(param_counts), 23528320)
with self.subTest("total parameter count"):
self.assertEqual(model.count_params(), 23581440)
with self.subTest("output shape"):
self.assertAllEqual(model.output.shape, (None, 10, 10, 2048))
with self.subTest("feature output stride"):
self.assertEqual(model.get_layer("conv5_block1_1_conv").strides, (1, 1))
with self.subTest("feature output dilation rate"):
self.assertEqual(
model.get_layer("conv5_block1_1_conv").dilation_rate, (2, 2)
)
def test_resnet50_upsampling(self):
resnet50 = resnet.ResNet50(
pretrained=False,
frozen=False,
features_output_stride=32,
upsampling_stack=upsampling.UpsamplingStack(
output_stride=4, refine_convs_filters=64
),
)
x_in = tf.keras.layers.Input((160, 160, 1))
x, x_mid = resnet50.make_backbone(x_in)
with self.subTest("output shape"):
self.assertAllEqual(x.shape, (None, 160 // 4, 160 // 4, 64))
def test_resnet50_pretrained(self):
resnet50 = resnet.ResNet50(pretrained=True, features_output_stride=16)
x_in = tf.keras.layers.Input((160, 160, 1))
x, x_mid = resnet50.make_backbone(x_in)
model = tf.keras.Model(x_in, x)
param_counts = [
np.prod(train_var.shape) for train_var in model.trainable_weights
]
with self.subTest("number of layers"):
self.assertEqual(len(model.layers), 175 + 2) # adds preprocessing layers
with self.subTest("number of trainable weights"):
self.assertEqual(len(model.trainable_weights), 212)
with self.subTest("trainable parameter count"):
self.assertEqual(np.sum(param_counts), 23534592)
with self.subTest("total parameter count"):
self.assertEqual(model.count_params(), 23587712)
with self.subTest("exact pretrained weights"):
layer = model.get_layer("conv5_block1_1_conv")
self.assertAllClose(
layer.kernel[:, :, :3, :3],
np.array(
[
[
[
[0.00946995, 0.00118913, -0.01149864],
[-0.01221565, 0.01268964, -0.00900999],
[0.05596072, 0.01261912, -0.01511286],
]
]
]
),
)
def test_resnet50_frozen(self):
resnet50 = resnet.ResNet50(
pretrained=True, frozen=True, features_output_stride=16
)
x_in = tf.keras.layers.Input((160, 160, 1))
x, x_mid = resnet50.make_backbone(x_in)
model = tf.keras.Model(x_in, x)
param_counts = [
np.prod(train_var.shape) for train_var in model.trainable_weights
]
with self.subTest("number of trainable weights"):
self.assertEqual(len(model.trainable_weights), 0)
with self.subTest("trainable parameter count"):
self.assertEqual(np.sum(param_counts), 0)
with self.subTest("total parameter count"):
self.assertEqual(model.count_params(), 23587712)
def test_resnet101(self):
resnet101 = resnet.ResNet101(
pretrained=False, frozen=False, features_output_stride=16
)
x_in = tf.keras.layers.Input((160, 160, 1))
x, x_mid = resnet101.make_backbone(x_in)
model = tf.keras.Model(x_in, x)
param_counts = [
np.prod(train_var.shape) for train_var in model.trainable_weights
]
with self.subTest("number of layers"):
self.assertEqual(len(model.layers), 345)
with self.subTest("number of trainable weights"):
self.assertEqual(len(model.trainable_weights), 416)
with self.subTest("trainable parameter count"):
self.assertEqual(np.sum(param_counts), 42546560)
with self.subTest("total parameter count"):
self.assertEqual(model.count_params(), 42651904)
def test_resnet152(self):
resnet152 = resnet.ResNet152(
pretrained=False, frozen=False, features_output_stride=16
)
x_in = tf.keras.layers.Input((160, 160, 1))
x, x_mid = resnet152.make_backbone(x_in)
model = tf.keras.Model(x_in, x)
param_counts = [
np.prod(train_var.shape) for train_var in model.trainable_weights
]
with self.subTest("number of layers"):
self.assertEqual(len(model.layers), 515)
with self.subTest("number of trainable weights"):
self.assertEqual(len(model.trainable_weights), 620)
with self.subTest("trainable parameter count"):
self.assertEqual(np.sum(param_counts), 58213248)
with self.subTest("total parameter count"):
self.assertEqual(model.count_params(), 58364672)
def test_resnet50_from_config(self):
resnet50 = resnet.ResNet50.from_config(
ResNetConfig(
version="ResNet50",
weights="random",
upsampling=None,
max_stride=32,
output_stride=32,
)
)
x_in = tf.keras.layers.Input((160, 160, 1))
x, x_mid = resnet50.make_backbone(x_in)
model = tf.keras.Model(x_in, x)
param_counts = [
np.prod(train_var.shape) for train_var in model.trainable_weights
]
with self.subTest("number of layers"):
self.assertEqual(len(model.layers), 175)
with self.subTest("number of trainable weights"):
self.assertEqual(len(model.trainable_weights), 212)
with self.subTest("trainable parameter count"):
self.assertEqual(np.sum(param_counts), 23528320)
with self.subTest("total parameter count"):
self.assertEqual(model.count_params(), 23581440)
with self.subTest("output shape"):
self.assertAllEqual(model.output.shape, (None, 5, 5, 2048))
| 40.415 | 85 | 0.6072 | 951 | 8,083 | 5.01367 | 0.132492 | 0.057047 | 0.106963 | 0.085151 | 0.810822 | 0.786074 | 0.764681 | 0.739723 | 0.739723 | 0.70344 | 0 | 0.073023 | 0.285043 | 8,083 | 199 | 86 | 40.61809 | 0.752033 | 0.005444 | 0 | 0.514451 | 0 | 0 | 0.099428 | 0 | 0 | 0 | 0 | 0 | 0.196532 | 1 | 0.046243 | false | 0 | 0.034682 | 0 | 0.086705 | 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 |
9669220554b583f8ac2363dd019dd48da9fe5940 | 188 | py | Python | dataservice/api/biospecimen_diagnosis/__init__.py | ConnorBarnhill/kf-api-dataservice | 547df467a307788882469a25c947a14965a26336 | [
"Apache-2.0"
] | 6 | 2018-01-25T13:49:24.000Z | 2020-03-07T16:25:09.000Z | dataservice/api/biospecimen_diagnosis/__init__.py | ConnorBarnhill/kf-api-dataservice | 547df467a307788882469a25c947a14965a26336 | [
"Apache-2.0"
] | 369 | 2018-01-17T15:22:18.000Z | 2022-03-10T19:14:56.000Z | dataservice/api/biospecimen_diagnosis/__init__.py | ConnorBarnhill/kf-api-dataservice | 547df467a307788882469a25c947a14965a26336 | [
"Apache-2.0"
] | 3 | 2018-04-11T14:18:37.000Z | 2018-10-31T19:09:48.000Z | from dataservice.api.biospecimen_diagnosis.resources import (
BiospecimenDiagnosisAPI
)
from dataservice.api.biospecimen_diagnosis.resources import (
BiospecimenDiagnosisListAPI
)
| 26.857143 | 61 | 0.840426 | 16 | 188 | 9.75 | 0.5625 | 0.192308 | 0.230769 | 0.371795 | 0.679487 | 0.679487 | 0.679487 | 0 | 0 | 0 | 0 | 0 | 0.106383 | 188 | 6 | 62 | 31.333333 | 0.928571 | 0 | 0 | 0.333333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.333333 | 0 | 0.333333 | 0 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 6 |
968ac8e51d7770a526156518248292a7ad1196a2 | 238 | py | Python | apistar/commands/__init__.py | sirex/apistar | 0ab0ac394983230bfacad2035d9436e88988cfc4 | [
"BSD-3-Clause"
] | 1 | 2017-12-27T09:05:23.000Z | 2017-12-27T09:05:23.000Z | apistarlearn/commands/__init__.py | 1067511899/tornado-learn | 497cc8f7816f15e2eab834a758f192d50704fe05 | [
"Apache-2.0"
] | null | null | null | apistarlearn/commands/__init__.py | 1067511899/tornado-learn | 497cc8f7816f15e2eab834a758f192d50704fe05 | [
"Apache-2.0"
] | null | null | null | from apistar.commands.new import new
from apistar.commands.run import run_asyncio, run_wsgi
from apistar.commands.schema import schema
from apistar.commands.test import test
__all__ = ['new', 'run_asyncio', 'run_wsgi', 'schema', 'test']
| 34 | 62 | 0.785714 | 35 | 238 | 5.114286 | 0.314286 | 0.24581 | 0.424581 | 0.189944 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.105042 | 238 | 6 | 63 | 39.666667 | 0.840376 | 0 | 0 | 0 | 0 | 0 | 0.134454 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.8 | 0 | 0.8 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
96988f97ddb9401ba7a984c31b6d4db7d6ebf3b4 | 101 | py | Python | basic/inlines/admin.py | neechadi/django-basic-apps | 3a90090857549ea4198a72c44f45f6edb238e2a8 | [
"BSD-3-Clause"
] | 548 | 2015-01-02T21:41:29.000Z | 2022-03-23T09:10:04.000Z | basic/inlines/admin.py | neechadi/django-basic-apps | 3a90090857549ea4198a72c44f45f6edb238e2a8 | [
"BSD-3-Clause"
] | 4 | 2015-01-13T16:27:02.000Z | 2016-11-01T01:51:31.000Z | basic/inlines/admin.py | neechadi/django-basic-apps | 3a90090857549ea4198a72c44f45f6edb238e2a8 | [
"BSD-3-Clause"
] | 182 | 2015-01-02T21:41:29.000Z | 2021-08-09T07:01:07.000Z | from django.contrib import admin
from basic.inlines.models import *
admin.site.register(InlineType) | 20.2 | 34 | 0.821782 | 14 | 101 | 5.928571 | 0.785714 | 0.26506 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.09901 | 101 | 5 | 35 | 20.2 | 0.912088 | 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 | 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 |
736895a275449e4b6db735ac5f15dacfea7e8081 | 5,465 | py | Python | torchsupport/experimental/autonomous.py | bobelly/torchsupport | 5aa0a04f20c193ec99310f5d6a3375d2e95e740d | [
"MIT"
] | 18 | 2019-05-02T16:32:15.000Z | 2021-04-16T09:33:54.000Z | torchsupport/experimental/autonomous.py | bobelly/torchsupport | 5aa0a04f20c193ec99310f5d6a3375d2e95e740d | [
"MIT"
] | 5 | 2019-10-14T13:46:49.000Z | 2021-06-08T11:48:34.000Z | torchsupport/experimental/autonomous.py | bobelly/torchsupport | 5aa0a04f20c193ec99310f5d6a3375d2e95e740d | [
"MIT"
] | 12 | 2019-05-12T21:34:24.000Z | 2021-07-15T14:14:16.000Z | import torch
import torch.nn as nn
import torch.nn.functional as func
from torchsupport.data.io import netwrite
from torchsupport.training.training import Training, BasicTraining
class RelabelTraining(BasicTraining):
"""Relabelling training process.
Arguments:
net (Module) : a trainable network module.
train_data (DataLoader) : a :class:`DataLoader` returning the training
data set.
validate_data (DataLoader) : a :class:`DataLoader` return ing the
validation data set.
optimizer (Optimizer) : an optimizer for the network. Defaults to ADAM.
schedule (Schedule) : a learning rate schedule. Defaults to decay when
stagnated.
max_epochs (int) : the maximum number of epochs to train.
device (str) : the device to run on.
checkpoint_path (str) : the path to save network checkpoints.
relabel_steps (int) : number of steps after which the labels are
recomputed.
"""
def __init__(self, net, train_data, validate_data,
optimizer=torch.optim.Adam(),
schedule=None,
max_epochs=10000,
device=None,
checkpoint_path="checkpoint.torch",
relabel_steps=2):
super(RelabelTraining, self).__init__(
net, train_data, validate_data,
optimizer=optimizer,
schedule=schedule,
max_epochs=max_epochs,
device=device,
checkpoint_path=checkpoint_path
)
self.relabel_net = None
self.relabel_steps = relabel_steps
def relabel(self):
self.relabel_net = copy.deepcopy(self.net)
self.relabel_net = self.relabel_net.to(self.device)
def each_relabel(self):
pass
def validate(self):
vit = iter(self.validate_data)
vinputs, vlabels = next(vit).values()
vinputs, vlabels = vinputs.to(device), vlabels.to(device)
if self.relabel_net != None:
vlabels = self.relabel_net(vinputs)
voutputs = self.net(vinputs)
vloss_val = self.loss(voutputs, vlabels)
self.validation_loss = vloss_val.item()
def train(self):
for epoch_id in range(max_epochs):
self.epoch_id = epoch_id
validation_loss = None
for data in self.train_data:
input, label = data.values()
if self.relabel_net != None:
label = self.relabel_net(input)
self.step(input, label)
self.validate()
self.each_step()
self.step_id += 1
if (self.epoch_id + 1) % self.relabel_steps:
self.relabel()
self.each_relabel()
self.schedule_step()
self.each_epoch()
class LabelSpillTraining(BasicTraining):
"""Relabelling training process using a class-wise spill matrix.
Arguments:
net (Module) : a trainable network module.
train_data (DataLoader) : a :class:`DataLoader` returning the training
data set.
validate_data (DataLoader) : a :class:`DataLoader` return ing the
validation data set.
optimizer (Optimizer) : an optimizer for the network. Defaults to ADAM.
schedule (Schedule) : a learning rate schedule. Defaults to decay when
stagnated.
max_epochs (int) : the maximum number of epochs to train.
device (str) : the device to run on.
checkpoint_path (str) : the path to save network checkpoints.
relabel_steps (int) : number of steps after which the labels are
recomputed.
"""
def __init__(self, net, train_data, validate_data,
optimizer=torch.optim.Adam(),
relabel_data=None,
schedule=None,
max_epochs=10000,
device=None,
checkpoint_path="checkpoint.torch",
relabel_steps=2):
super(LabelSpillTraining, self).__init__(
net, train_data, validate_data,
optimizer=optimizer,
schedule=schedule,
max_epochs=max_epochs,
device=device,
checkpoint_path=checkpoint_path
)
self.relabel_data = relabel_data
self.classes = len(relabel_data)
self.label_spill_matrix = torch.eye(self.classes)
self.relabel_steps = relabel_steps
def relabel(self):
for idx, data in enumerate(iter(self.relabel_data)):
input, _ = data.values()
input = input.to(self.device)
predictions = self.net(input).sum(dim=0)
predictions /= input.size()[0]
self.label_spill_matrix[idx, :] = predictions[:].squeeze()
def each_relabel(self):
pass
def validate(self):
vit = iter(self.validate_data)
vinputs, vlabels = next(vit).values()
vinputs, vlabels = vinputs.to(device), vlabels.to(device)
if self.relabel_net != None:
vlabels = self.label_spill_matrix.dot(vlabels)
voutputs = self.net(vinputs)
vloss_val = self.loss(voutputs, vlabels)
self.validation_loss = vloss_val.item()
def train(self):
for epoch_id in range(max_epochs):
self.epoch_id = epoch_id
validation_loss = None
for data in self.train_data:
input, label = data.values()
if self.relabel_net != None:
label = self.label_spill_matrix.dot(label)
self.step(input, label)
self.validate()
self.each_step()
self.step_id += 1
if (self.epoch_id + 1) % self.relabel_steps:
self.relabel()
self.each_relabel()
self.schedule_step()
self.each_epoch() | 35.258065 | 75 | 0.639524 | 660 | 5,465 | 5.125758 | 0.172727 | 0.058528 | 0.041383 | 0.026604 | 0.787467 | 0.776234 | 0.776234 | 0.776234 | 0.751404 | 0.751404 | 0 | 0.004503 | 0.268618 | 5,465 | 155 | 76 | 35.258065 | 0.841881 | 0.286002 | 0 | 0.745455 | 0 | 0 | 0.008355 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0.018182 | 0.045455 | 0 | 0.154545 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
73c37a24b1827513205e04223ac5d7f1a7bd2845 | 167 | py | Python | src/visual/headers.py | nikhilkuria/andOne | 276002171902f7ffabd13532264e6bf48394dee3 | [
"Apache-2.0"
] | null | null | null | src/visual/headers.py | nikhilkuria/andOne | 276002171902f7ffabd13532264e6bf48394dee3 | [
"Apache-2.0"
] | 13 | 2018-09-11T04:45:56.000Z | 2018-09-29T04:38:16.000Z | src/visual/headers.py | nikhilkuria/pynba | 276002171902f7ffabd13532264e6bf48394dee3 | [
"Apache-2.0"
] | null | null | null |
def build_padded_header(title:str) -> str:
return "*** {title} ***".format(title=title)
def build_upper_header(title:str) -> str:
return title.upper()
| 18.555556 | 52 | 0.646707 | 22 | 167 | 4.727273 | 0.409091 | 0.153846 | 0.269231 | 0.326923 | 0.538462 | 0.538462 | 0 | 0 | 0 | 0 | 0 | 0 | 0.179641 | 167 | 8 | 53 | 20.875 | 0.759124 | 0 | 0 | 0 | 0 | 0 | 0.115152 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | false | 0 | 0 | 0.5 | 1 | 0 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 6 |
73f6d2f708dffcd4e0dcb5816c5b742e052c3ff6 | 14,637 | py | Python | tests/test_compartmentdefinition.py | glichtner/fhir.resources | 94896d8f8a0b7dd69253762aab968f4fd6eb69a0 | [
"BSD-3-Clause"
] | null | null | null | tests/test_compartmentdefinition.py | glichtner/fhir.resources | 94896d8f8a0b7dd69253762aab968f4fd6eb69a0 | [
"BSD-3-Clause"
] | null | null | null | tests/test_compartmentdefinition.py | glichtner/fhir.resources | 94896d8f8a0b7dd69253762aab968f4fd6eb69a0 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Profile: http://hl7.org/fhir/StructureDefinition/CompartmentDefinition
Release: R5
Version: 4.5.0
Build ID: 0d95498
Last updated: 2021-04-03T00:34:11.075+00:00
"""
from pydantic.validators import bytes_validator # noqa: F401
from fhir.resources import fhirtypes # noqa: F401
from fhir.resources import compartmentdefinition
def impl_compartmentdefinition_1(inst):
assert inst.code == "Device"
assert inst.contact[0].name == "[string]"
assert inst.contact[0].telecom[0].system == "url"
assert inst.contact[0].telecom[0].value == "http://hl7.org/fhir"
assert inst.date == fhirtypes.DateTime.validate("2017-02-24")
assert inst.description == (
"The set of resources associated with a particular Device "
"(example with Communication and CommunicationRequest "
"resourses only)."
)
assert inst.experimental is True
assert inst.id == "example"
assert inst.name == "EXAMPLE"
assert inst.publisher == "Health Level Seven International (FHIR Infrastructure)"
assert inst.purpose == (
"Provides an example of a FHIR compartment definition based "
"on the Device resource type."
)
assert inst.resource[0].code == "Communication"
assert (
inst.resource[0].documentation
== "The device used as the message sender and recipient"
)
assert inst.resource[0].param[0] == "sender"
assert inst.resource[0].param[1] == "recipient"
assert inst.resource[1].code == "CommunicationRequest"
assert (
inst.resource[1].documentation
== "The device used as the message sender and recipient"
)
assert inst.resource[1].param[0] == "sender"
assert inst.resource[1].param[1] == "recipient"
assert inst.search is True
assert inst.status == "draft"
assert inst.text.status == "generated"
assert inst.url == "http://hl7.org/fhir/CompartmentDefinition/example"
assert inst.useContext[0].code.code == "focus"
assert (
inst.useContext[0].code.system
== "http://terminology.hl7.org/CodeSystem/usage-context-type"
)
assert inst.useContext[0].valueCodeableConcept.coding[0].code == "Device"
assert (
inst.useContext[0].valueCodeableConcept.coding[0].system
== "http://hl7.org/fhir/resource-types"
)
def test_compartmentdefinition_1(base_settings):
"""No. 1 tests collection for CompartmentDefinition.
Test File: compartmentdefinition-example.json
"""
filename = base_settings["unittest_data_dir"] / "compartmentdefinition-example.json"
inst = compartmentdefinition.CompartmentDefinition.parse_file(
filename, content_type="application/json", encoding="utf-8"
)
assert "CompartmentDefinition" == inst.resource_type
impl_compartmentdefinition_1(inst)
# testing reverse by generating data from itself and create again.
data = inst.dict()
assert "CompartmentDefinition" == data["resourceType"]
inst2 = compartmentdefinition.CompartmentDefinition(**data)
impl_compartmentdefinition_1(inst2)
def impl_compartmentdefinition_2(inst):
assert inst.code == "RelatedPerson"
assert inst.contact[0].telecom[0].system == "url"
assert inst.contact[0].telecom[0].value == "http://hl7.org/fhir"
assert inst.date == fhirtypes.DateTime.validate("2021-04-03T00:34:11+00:00")
assert inst.experimental is True
assert inst.id == "relatedPerson"
assert inst.name == "Base FHIR compartment definition for RelatedPerson"
assert inst.publisher == "FHIR Project Team"
assert inst.resource[0].code == "Account"
assert inst.resource[1].code == "ActivityDefinition"
assert inst.resource[2].code == "AdministrableProductDefinition"
assert inst.resource[3].code == "AdverseEvent"
assert inst.resource[3].param[0] == "recorder"
assert inst.resource[4].code == "AllergyIntolerance"
assert inst.resource[4].param[0] == "asserter"
assert inst.resource[5].code == "Appointment"
assert inst.resource[5].param[0] == "actor"
assert inst.resource[6].code == "AppointmentResponse"
assert inst.resource[6].param[0] == "actor"
assert inst.resource[7].code == "AuditEvent"
assert inst.resource[8].code == "Basic"
assert inst.resource[8].param[0] == "author"
assert inst.resource[9].code == "Binary"
assert inst.search is True
assert inst.status == "draft"
assert inst.text.status == "extensions"
assert inst.url == "http://hl7.org/fhir/CompartmentDefinition/relatedPerson"
assert inst.version == "4.5.0"
def test_compartmentdefinition_2(base_settings):
"""No. 2 tests collection for CompartmentDefinition.
Test File: compartmentdefinition-relatedperson.json
"""
filename = (
base_settings["unittest_data_dir"] / "compartmentdefinition-relatedperson.json"
)
inst = compartmentdefinition.CompartmentDefinition.parse_file(
filename, content_type="application/json", encoding="utf-8"
)
assert "CompartmentDefinition" == inst.resource_type
impl_compartmentdefinition_2(inst)
# testing reverse by generating data from itself and create again.
data = inst.dict()
assert "CompartmentDefinition" == data["resourceType"]
inst2 = compartmentdefinition.CompartmentDefinition(**data)
impl_compartmentdefinition_2(inst2)
def impl_compartmentdefinition_3(inst):
assert inst.code == "Encounter"
assert inst.contact[0].telecom[0].system == "url"
assert inst.contact[0].telecom[0].value == "http://hl7.org/fhir"
assert inst.date == fhirtypes.DateTime.validate("2021-04-03T00:34:11+00:00")
assert inst.experimental is True
assert inst.id == "encounter"
assert inst.name == "Base FHIR compartment definition for Encounter"
assert inst.publisher == "FHIR Project Team"
assert inst.resource[0].code == "Account"
assert inst.resource[1].code == "ActivityDefinition"
assert inst.resource[2].code == "AdministrableProductDefinition"
assert inst.resource[3].code == "AdverseEvent"
assert inst.resource[4].code == "AllergyIntolerance"
assert inst.resource[5].code == "Appointment"
assert inst.resource[6].code == "AppointmentResponse"
assert inst.resource[7].code == "AuditEvent"
assert inst.resource[8].code == "Basic"
assert inst.resource[9].code == "Binary"
assert inst.search is True
assert inst.status == "draft"
assert inst.text.status == "extensions"
assert inst.url == "http://hl7.org/fhir/CompartmentDefinition/encounter"
assert inst.version == "4.5.0"
def test_compartmentdefinition_3(base_settings):
"""No. 3 tests collection for CompartmentDefinition.
Test File: compartmentdefinition-encounter.json
"""
filename = (
base_settings["unittest_data_dir"] / "compartmentdefinition-encounter.json"
)
inst = compartmentdefinition.CompartmentDefinition.parse_file(
filename, content_type="application/json", encoding="utf-8"
)
assert "CompartmentDefinition" == inst.resource_type
impl_compartmentdefinition_3(inst)
# testing reverse by generating data from itself and create again.
data = inst.dict()
assert "CompartmentDefinition" == data["resourceType"]
inst2 = compartmentdefinition.CompartmentDefinition(**data)
impl_compartmentdefinition_3(inst2)
def impl_compartmentdefinition_4(inst):
assert inst.code == "Patient"
assert inst.contact[0].telecom[0].system == "url"
assert inst.contact[0].telecom[0].value == "http://hl7.org/fhir"
assert inst.date == fhirtypes.DateTime.validate("2021-04-03T00:34:11+00:00")
assert inst.experimental is True
assert inst.id == "patient"
assert inst.name == "Base FHIR compartment definition for Patient"
assert inst.publisher == "FHIR Project Team"
assert inst.resource[0].code == "Account"
assert inst.resource[0].param[0] == "subject"
assert inst.resource[1].code == "ActivityDefinition"
assert inst.resource[2].code == "AdministrableProductDefinition"
assert inst.resource[3].code == "AdverseEvent"
assert inst.resource[3].param[0] == "subject"
assert inst.resource[4].code == "AllergyIntolerance"
assert inst.resource[4].param[0] == "patient"
assert inst.resource[4].param[1] == "recorder"
assert inst.resource[4].param[2] == "asserter"
assert inst.resource[5].code == "Appointment"
assert inst.resource[5].param[0] == "actor"
assert inst.resource[6].code == "AppointmentResponse"
assert inst.resource[6].param[0] == "actor"
assert inst.resource[7].code == "AuditEvent"
assert inst.resource[7].param[0] == "patient"
assert inst.resource[8].code == "Basic"
assert inst.resource[8].param[0] == "patient"
assert inst.resource[8].param[1] == "author"
assert inst.resource[9].code == "Binary"
assert inst.search is True
assert inst.status == "draft"
assert inst.text.status == "extensions"
assert inst.url == "http://hl7.org/fhir/CompartmentDefinition/patient"
assert inst.version == "4.5.0"
def test_compartmentdefinition_4(base_settings):
"""No. 4 tests collection for CompartmentDefinition.
Test File: compartmentdefinition-patient.json
"""
filename = base_settings["unittest_data_dir"] / "compartmentdefinition-patient.json"
inst = compartmentdefinition.CompartmentDefinition.parse_file(
filename, content_type="application/json", encoding="utf-8"
)
assert "CompartmentDefinition" == inst.resource_type
impl_compartmentdefinition_4(inst)
# testing reverse by generating data from itself and create again.
data = inst.dict()
assert "CompartmentDefinition" == data["resourceType"]
inst2 = compartmentdefinition.CompartmentDefinition(**data)
impl_compartmentdefinition_4(inst2)
def impl_compartmentdefinition_5(inst):
assert inst.code == "Device"
assert inst.contact[0].telecom[0].system == "url"
assert inst.contact[0].telecom[0].value == "http://hl7.org/fhir"
assert inst.date == fhirtypes.DateTime.validate("2021-04-03T00:34:11+00:00")
assert inst.description == (
"There is an instance of the device compartment for each "
"Device resource, and the identity of the compartment is the "
"same as the Device. The set of resources associated with a "
"particular device"
)
assert inst.experimental is True
assert inst.id == "device"
assert inst.name == "Base FHIR compartment definition for Device"
assert inst.publisher == "FHIR Project Team"
assert inst.resource[0].code == "Account"
assert inst.resource[0].param[0] == "subject"
assert inst.resource[1].code == "ActivityDefinition"
assert inst.resource[2].code == "AdministrableProductDefinition"
assert inst.resource[3].code == "AdverseEvent"
assert inst.resource[4].code == "AllergyIntolerance"
assert inst.resource[5].code == "Appointment"
assert inst.resource[5].param[0] == "actor"
assert inst.resource[6].code == "AppointmentResponse"
assert inst.resource[6].param[0] == "actor"
assert inst.resource[7].code == "AuditEvent"
assert inst.resource[7].param[0] == "agent"
assert inst.resource[8].code == "Basic"
assert inst.resource[9].code == "Binary"
assert inst.search is True
assert inst.status == "draft"
assert inst.text.status == "extensions"
assert inst.url == "http://hl7.org/fhir/CompartmentDefinition/device"
assert inst.version == "4.5.0"
def test_compartmentdefinition_5(base_settings):
"""No. 5 tests collection for CompartmentDefinition.
Test File: compartmentdefinition-device.json
"""
filename = base_settings["unittest_data_dir"] / "compartmentdefinition-device.json"
inst = compartmentdefinition.CompartmentDefinition.parse_file(
filename, content_type="application/json", encoding="utf-8"
)
assert "CompartmentDefinition" == inst.resource_type
impl_compartmentdefinition_5(inst)
# testing reverse by generating data from itself and create again.
data = inst.dict()
assert "CompartmentDefinition" == data["resourceType"]
inst2 = compartmentdefinition.CompartmentDefinition(**data)
impl_compartmentdefinition_5(inst2)
def impl_compartmentdefinition_6(inst):
assert inst.code == "Practitioner"
assert inst.contact[0].telecom[0].system == "url"
assert inst.contact[0].telecom[0].value == "http://hl7.org/fhir"
assert inst.date == fhirtypes.DateTime.validate("2021-04-03T00:34:11+00:00")
assert inst.experimental is True
assert inst.id == "practitioner"
assert inst.name == "Base FHIR compartment definition for Practitioner"
assert inst.publisher == "FHIR Project Team"
assert inst.resource[0].code == "Account"
assert inst.resource[0].param[0] == "subject"
assert inst.resource[1].code == "ActivityDefinition"
assert inst.resource[2].code == "AdministrableProductDefinition"
assert inst.resource[3].code == "AdverseEvent"
assert inst.resource[3].param[0] == "recorder"
assert inst.resource[4].code == "AllergyIntolerance"
assert inst.resource[4].param[0] == "recorder"
assert inst.resource[4].param[1] == "asserter"
assert inst.resource[5].code == "Appointment"
assert inst.resource[5].param[0] == "actor"
assert inst.resource[6].code == "AppointmentResponse"
assert inst.resource[6].param[0] == "actor"
assert inst.resource[7].code == "AuditEvent"
assert inst.resource[7].param[0] == "agent"
assert inst.resource[8].code == "Basic"
assert inst.resource[8].param[0] == "author"
assert inst.resource[9].code == "Binary"
assert inst.search is True
assert inst.status == "draft"
assert inst.text.status == "extensions"
assert inst.url == "http://hl7.org/fhir/CompartmentDefinition/practitioner"
assert inst.version == "4.5.0"
def test_compartmentdefinition_6(base_settings):
"""No. 6 tests collection for CompartmentDefinition.
Test File: compartmentdefinition-practitioner.json
"""
filename = (
base_settings["unittest_data_dir"] / "compartmentdefinition-practitioner.json"
)
inst = compartmentdefinition.CompartmentDefinition.parse_file(
filename, content_type="application/json", encoding="utf-8"
)
assert "CompartmentDefinition" == inst.resource_type
impl_compartmentdefinition_6(inst)
# testing reverse by generating data from itself and create again.
data = inst.dict()
assert "CompartmentDefinition" == data["resourceType"]
inst2 = compartmentdefinition.CompartmentDefinition(**data)
impl_compartmentdefinition_6(inst2)
| 41.82 | 88 | 0.702945 | 1,718 | 14,637 | 5.935972 | 0.098952 | 0.166699 | 0.150029 | 0.019219 | 0.853501 | 0.83889 | 0.819278 | 0.763973 | 0.693567 | 0.651794 | 0 | 0.029648 | 0.168136 | 14,637 | 349 | 89 | 41.939828 | 0.807901 | 0.080754 | 0 | 0.603636 | 0 | 0 | 0.259978 | 0.055635 | 0 | 0 | 0 | 0 | 0.661818 | 1 | 0.043636 | false | 0 | 0.010909 | 0 | 0.054545 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
fb781e6d9975e12dbe0f1165bbb5d6ec79e0b698 | 91 | py | Python | nn_project/__init__.py | nixwill/nn-project | 12b586048f66f541721bb3b5a0e7eca7e33d70b3 | [
"Unlicense"
] | null | null | null | nn_project/__init__.py | nixwill/nn-project | 12b586048f66f541721bb3b5a0e7eca7e33d70b3 | [
"Unlicense"
] | null | null | null | nn_project/__init__.py | nixwill/nn-project | 12b586048f66f541721bb3b5a0e7eca7e33d70b3 | [
"Unlicense"
] | null | null | null | from . import data, metrics, model, train
__all__ = ['data', 'metrics', 'model', 'train']
| 22.75 | 47 | 0.648352 | 11 | 91 | 5 | 0.636364 | 0.4 | 0.581818 | 0.763636 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.153846 | 91 | 3 | 48 | 30.333333 | 0.714286 | 0 | 0 | 0 | 0 | 0 | 0.230769 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 6 |
fb8ae6bcb8e6c31d770b1619ba62254e4cef8930 | 34 | py | Python | examples/print/ex1.py | mcorne/python-by-example | 15339c0909c84b51075587a6a66391100971c033 | [
"MIT"
] | null | null | null | examples/print/ex1.py | mcorne/python-by-example | 15339c0909c84b51075587a6a66391100971c033 | [
"MIT"
] | null | null | null | examples/print/ex1.py | mcorne/python-by-example | 15339c0909c84b51075587a6a66391100971c033 | [
"MIT"
] | null | null | null | # print('Hello!')
print('Hello!')
| 11.333333 | 17 | 0.588235 | 4 | 34 | 5 | 0.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.088235 | 34 | 2 | 18 | 17 | 0.645161 | 0.441176 | 0 | 0 | 0 | 0 | 0.352941 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 |
fbc8a9d10df28f9ffb6df565d9a9bd8e4d7fbfca | 57 | py | Python | karma/views/__init__.py | justinas/upkarma | bf032865d883ad14723538825d08dd2a819c9ee9 | [
"MIT"
] | 2 | 2020-06-22T16:32:11.000Z | 2022-01-13T13:44:18.000Z | karma/views/__init__.py | justinas/upkarma | bf032865d883ad14723538825d08dd2a819c9ee9 | [
"MIT"
] | 2 | 2019-11-19T22:38:36.000Z | 2019-12-17T11:30:57.000Z | karma/views/__init__.py | justinas/upkarma | bf032865d883ad14723538825d08dd2a819c9ee9 | [
"MIT"
] | null | null | null | from .core import *
from . import auth
from . import api
| 14.25 | 19 | 0.719298 | 9 | 57 | 4.555556 | 0.555556 | 0.487805 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.210526 | 57 | 3 | 20 | 19 | 0.911111 | 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 |
83849561eb90d70d9f0325be0bb608c228f578fe | 142 | py | Python | projects/views.py | taylor-curran/taylorcurran-website | 481404f8d7919a74147d92d15c01bf1efcfa03ae | [
"MIT"
] | null | null | null | projects/views.py | taylor-curran/taylorcurran-website | 481404f8d7919a74147d92d15c01bf1efcfa03ae | [
"MIT"
] | null | null | null | projects/views.py | taylor-curran/taylorcurran-website | 481404f8d7919a74147d92d15c01bf1efcfa03ae | [
"MIT"
] | null | null | null | from django.shortcuts import render
# Create your views here.
def project_list(request):
return render(request, 'projects/index.html')
| 17.75 | 49 | 0.760563 | 19 | 142 | 5.631579 | 0.894737 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.147887 | 142 | 7 | 50 | 20.285714 | 0.884298 | 0.161972 | 0 | 0 | 0 | 0 | 0.163793 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0.333333 | 0.333333 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 6 |
8392ea7b547c0950eca8d87e25801818d61d83f3 | 131 | py | Python | stalkreporter/forecast_chart/__init__.py | peake100/stalkreports-py | 4da5d11cd7dc27523c29948386ffc3da90b7588a | [
"MIT"
] | null | null | null | stalkreporter/forecast_chart/__init__.py | peake100/stalkreports-py | 4da5d11cd7dc27523c29948386ffc3da90b7588a | [
"MIT"
] | null | null | null | stalkreporter/forecast_chart/__init__.py | peake100/stalkreports-py | 4da5d11cd7dc27523c29948386ffc3da90b7588a | [
"MIT"
] | null | null | null | from ._chart_forecast import create_forecast_chart
from ._options import ForecastOptions
(create_forecast_chart, ForecastOptions)
| 26.2 | 50 | 0.877863 | 15 | 131 | 7.2 | 0.466667 | 0.259259 | 0.351852 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.083969 | 131 | 4 | 51 | 32.75 | 0.9 | 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 | 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 |
83afe6ae9f8c26b6452a2da01ed627d7102d2a92 | 16,174 | py | Python | src/utils/create_ds.py | yogeshhk/MidcurveNN | 98e11abdac1c6ab5c76e59dcbdd9ce8c08549a67 | [
"MIT"
] | 22 | 2019-06-08T03:25:06.000Z | 2022-01-15T19:35:38.000Z | src/utils/create_ds.py | yogeshhk/MidcurveNN | 98e11abdac1c6ab5c76e59dcbdd9ce8c08549a67 | [
"MIT"
] | 5 | 2019-10-06T08:10:24.000Z | 2021-12-08T01:33:44.000Z | src/utils/create_ds.py | yogeshhk/MidcurveNN | 98e11abdac1c6ab5c76e59dcbdd9ce8c08549a67 | [
"MIT"
] | 7 | 2019-07-06T05:16:32.000Z | 2021-12-09T09:35:03.000Z | # -*- coding: utf-8 -*-
"""
Created on Sun Sep 29 12:36:52 2019
@author: prnvb
"""
import cv2
import numpy as np
import imutils
IMAGE_SHAPE = (256, 256)
BG_COLOR = (255, 255, 255) # (0,0,0)
FG_COLOR = (0, 0, 0) # (255,255,255)
dtype = 'uint8'
BASE_DIR = 'D:/dev/midcurve/MidcurveNN/reorg/'
def draw_polygon(image, points, color, thickness):
for i in range(len(points) - 1):
p1 = points[i]
p2 = points[i + 1]
image = cv2.line(image, p1, p2, color, thickness, cv2.LINE_AA)
return image
def fill_rectangle(image, x1, y1, x2, y2, color):
# x1,y1 -> top left corner
# x2,y2 -> bottom right corner
for y in range(y1, y2 + 1):
image = cv2.line(image, (x1, y), (x2, y), color, 1, cv2.LINE_AA)
return image
def rotate(image, midcurve, roi, rotation):
if rotation > 0:
'''
image = imutils.rotate_bound(image,rotation)
midcurve = imutils.rotate_bound(midcurve,rotation)
roi = imutils.rotate_bound(roi,rotation)
'''
M = cv2.getRotationMatrix2D((IMAGE_SHAPE[0] / 2, IMAGE_SHAPE[1] / 2),
rotation, 1.0)
image = cv2.warpAffine(image, M, (IMAGE_SHAPE[0], IMAGE_SHAPE[1]),
borderMode=cv2.BORDER_CONSTANT,
borderValue=BG_COLOR)
midcurve = cv2.warpAffine(midcurve, M, (IMAGE_SHAPE[0], IMAGE_SHAPE[1]),
borderMode=cv2.BORDER_CONSTANT,
borderValue=BG_COLOR)
roi = cv2.warpAffine(roi, M, (IMAGE_SHAPE[0], IMAGE_SHAPE[1]),
borderMode=cv2.BORDER_CONSTANT,
borderValue=BG_COLOR)
return image, midcurve, roi
def draw_T(image, midcurve, roi, x, y, width, height, length,
color=(0, 0, 0), thickness=1):
points = []
points.append((x, y)) # a
points.append((x, y + width)) # b
points.append((x + int((length - width) / 2), y + width)) # c
points.append((x + int((length - width) / 2), y + height)) # d
points.append((x + int((length - width) / 2) + width, y + height)) # e
points.append((x + int((length - width) / 2) + width, y + width)) # f
points.append((x + length, y + width)) # g
points.append((x + length, y)) # h
points.append((x, y)) # a
image = draw_polygon(image, points, color, thickness)
points = []
points.append((x, y + int(width / 2)))
points.append((x + length, y + int(width / 2)))
points.append((x + int(length / 2), y + int(width / 2)))
points.append((x + int(length / 2), y + height))
midcurve = draw_polygon(midcurve, points, color, thickness)
# ROI:
roi = fill_rectangle(roi, x, y, x + length, y + width, color)
roi = fill_rectangle(roi, x + int((length - width) / 2), y + width,
x + int((length - width) / 2) + width, y + height, color)
return image, midcurve, roi
def draw_I(image, midcurve, roi, x, y, width, height, length,
color=(0, 0, 0), thickness=1):
points = []
points.append((x, y)) # a
points.append((x, y + width)) # b
points.append((x + int((length - width) / 2), y + width)) # c
points.append((x + int((length - width) / 2), y + height - width)) # d
points.append((x, y + height - width)) # e
points.append((x, y + height)) # f
points.append((x + length, y + height)) # g
points.append((x + length, y + height - width)) # h
points.append((x + length - int((length - width) / 2), y + height - width)) # i
points.append((x + length - int((length - width) / 2), y + width)) # j
points.append((x + length, y + width)) # k
points.append((x + length, y)) # l
points.append((x, y)) # a
image = draw_polygon(image, points, color, thickness)
points = []
points.append((x, y + int(width / 2)))
points.append((x + length, y + int(width / 2)))
midcurve = draw_polygon(midcurve, points, color, thickness)
points = []
points.append((x + int(length / 2), y + int(width / 2)))
points.append((x + int(length / 2), y + height - int(width / 2)))
midcurve = draw_polygon(midcurve, points, color, thickness)
points = []
points.append((x, y + height - int(width / 2)))
points.append((x + length, y + height - int(width / 2)))
midcurve = draw_polygon(midcurve, points, color, thickness)
roi = fill_rectangle(roi, x, y, x + length, y + width, color)
roi = fill_rectangle(roi, x + int((length - width) / 2), y + width,
x + length - int((length - width) / 2), y + height - width,
color)
roi = fill_rectangle(roi, x, y + height - width, x + length, y + height, color)
return image, midcurve, roi
def draw_C(image, midcurve, roi, x, y, width, height, length,
color=(0, 0, 0), thickness=1):
points = []
points.append((x, y)) # a
points.append((x, y + height)) # b
points.append((x + length, y + height)) # c
points.append((x + length, y + height - width)) # d
points.append((x + width, y + height - width)) # e
points.append((x + width, y + width)) # f
points.append((x + length, y + width)) # g
points.append((x + length, y)) # h
points.append((x, y)) # a
image = draw_polygon(image, points, color, thickness)
points = []
points.append((x + length, y + int(width / 2)))
points.append((x + int(width / 2), y + int(width / 2)))
points.append((x + int(width / 2), y + height - int(width / 2)))
points.append((x + length, y + height - int(width / 2)))
midcurve = draw_polygon(midcurve, points, color, thickness)
roi = fill_rectangle(roi, x, y, x + length, y + width, color)
roi = fill_rectangle(roi, x, y + width, x + width, y + height - width, color)
roi = fill_rectangle(roi, x, y + height - width, x + length, y + height, color)
return image, midcurve, roi
def draw_E(image, midcurve, roi, x, y, width, height, length,
color=(0, 0, 0), thickness=1):
height_2 = int((height - 3 * width) / 2)
points = []
points.append((x, y)) # a
points.append((x, y + height)) # b
points.append((x + length, y + height)) # c
points.append((x + length, y + height - width)) # d
points.append((x + width, y + height - width)) # e
points.append((x + width, y + height - width - height_2)) # f
points.append((x + length, y + height - width - height_2)) # g
points.append((x + length, y + height - 2 * width - height_2)) # h
points.append((x + width, y + height - 2 * width - height_2)) # i
points.append((x + width, y + width)) # j
points.append((x + length, y + width)) # k
points.append((x + length, y)) # l
points.append((x, y)) # a
image = draw_polygon(image, points, color, thickness)
points = []
points.append((x + length, y + int(width / 2)))
points.append((x + int(width / 2), y + int(width / 2)))
points.append((x + int(width / 2), y + int(3 * width / 2) + height_2))
points.append((x + length, y + int(3 * width / 2) + height_2))
midcurve = draw_polygon(midcurve, points, color, thickness)
points = []
points.append((x + int(width / 2), y + int(3 * width / 2) + height_2))
points.append((x + int(width / 2), y + height - int(width / 2)))
points.append((x + length, y + height - int(width / 2)))
midcurve = draw_polygon(midcurve, points, color, thickness)
roi = fill_rectangle(roi, x, y, x + length, y + width, color)
roi = fill_rectangle(roi, x, y + width, x + width, y + height - 2 * width - height_2, color)
roi = fill_rectangle(roi, x, y + height - 2 * width - height_2,
x + length, y + height - width - height_2, color)
roi = fill_rectangle(roi, x, y + height - width - height_2,
x + width, y + height - width, color)
roi = fill_rectangle(roi, x, y + height - width,
x + length, y + height, color)
return image, midcurve, roi
def draw_L(image, midcurve, roi, x, y, width, height, length,
color=(0, 0, 0), thickness=1):
points = []
points.append((x, y)) # a
points.append((x, y + height)) # b
points.append((x + length, y + height)) # c
points.append((x + length, y + height - width)) # d
points.append((x + width, y + height - width)) # e
points.append((x + width, y)) # f
points.append((x, y)) # a
image = draw_polygon(image, points, color, thickness)
points = []
points.append((x + int(width / 2), y))
points.append((x + int(width / 2), y + height - int(width / 2)))
points.append((x + length, y + height - int(width / 2)))
midcurve = draw_polygon(midcurve, points, color, thickness)
roi = fill_rectangle(roi, x, y, x + width, y + height - width, color)
roi = fill_rectangle(roi, x, y + height - width, x + length, y + height, color)
return image, midcurve, roi
def draw_F(image, midcurve, roi, x, y, width, height, length,
color=(0, 0, 0), thickness=1):
height_2 = int((height - 3 * width) / 2)
points = []
points.append((x, y)) # a
points.append((x, y + height)) # b
points.append((x + width, y + height)) # c
points.append((x + width, y + height - width - height_2)) # d
points.append((x + length, y + height - width - height_2)) # e
points.append((x + length, y + height - 2 * width - height_2)) # f
points.append((x + width, y + height - 2 * width - height_2)) # g
points.append((x + width, y + width)) # h
points.append((x + length, y + width)) # i
points.append((x + length, y)) # j
points.append((x, y)) # k
image = draw_polygon(image, points, color, thickness)
points = []
points.append((x + length, y + int(width / 2)))
points.append((x + int(width / 2), y + int(width / 2)))
points.append((x + int(width / 2), y + int(3 * width / 2) + height_2))
points.append((x + length, y + int(3 * width / 2) + height_2))
midcurve = draw_polygon(midcurve, points, color, thickness)
points = []
points.append((x + int(width / 2), y + int(3 * width / 2) + height_2))
points.append((x + int(width / 2), y + height - int(width / 2)))
midcurve = draw_polygon(midcurve, points, color, thickness)
roi = fill_rectangle(roi, x, y, x + length, y + width, color)
roi = fill_rectangle(roi, x, y + width, x + width, y + height - 2 * width - height_2, color)
roi = fill_rectangle(roi, x, y + height - 2 * width - height_2,
x + length, y + height - width - height_2, color)
roi = fill_rectangle(roi, x, y + height - width - height_2,
x + width, y + height, color)
return image, midcurve, roi
def draw_D_curved(image, midcurve, roi, x, y, radius, width,
color=(0, 0, 0), thickness=1):
new_rad = radius + width
new_width = width * 2
image = cv2.ellipse(image, center=(x, y), axes=(radius, radius), angle=0,
startAngle=0, endAngle=180, color=color, thickness=thickness)
image = cv2.ellipse(image, center=(x, y), axes=(radius + new_width, radius + new_width),
angle=0, startAngle=0, endAngle=180, color=color,
thickness=thickness)
image = cv2.line(image, (x - radius, y), (x + radius, y), color, thickness, cv2.LINE_AA)
image = cv2.line(image, (x - radius - new_width, y), (x - radius - new_width, y - new_width),
color, thickness, cv2.LINE_AA)
image = cv2.line(image, (x + radius + new_width, y), (x + radius + new_width, y - new_width),
color, thickness, cv2.LINE_AA)
image = cv2.line(image, (x - radius - new_width, y - new_width),
(x + radius + new_width, y - new_width),
color, thickness, cv2.LINE_AA)
mid_rad = radius + int(new_width / 2)
midcurve = cv2.ellipse(midcurve, center=(x, y), axes=(mid_rad, mid_rad), angle=0,
startAngle=0, endAngle=180, color=color, thickness=thickness)
midcurve = cv2.line(midcurve, (x - radius - width, y), (x - radius - width, y - width),
color, thickness, cv2.LINE_AA)
midcurve = cv2.line(midcurve, (x + radius + width, y), (x + radius + width, y - width),
color, thickness, cv2.LINE_AA)
midcurve = cv2.line(midcurve, (x - radius - width, y - width), (x + radius + width, y - width),
color, thickness, cv2.LINE_AA)
roi = cv2.ellipse(roi, center=(x, y), axes=(new_rad, new_rad), angle=0,
startAngle=0, endAngle=180, color=color, thickness=new_width)
roi = cv2.line(roi, (x - radius, y), (x + radius, y), color, thickness, cv2.LINE_AA)
roi = cv2.line(roi, (x - radius - new_width, y), (x - radius - new_width, y - new_width),
color, thickness, cv2.LINE_AA)
roi = cv2.line(roi, (x + radius + new_width, y), (x + radius + new_width, y - new_width),
color, thickness, cv2.LINE_AA)
roi = cv2.line(roi, (x - radius - new_width, y - new_width),
(x + radius + new_width, y - new_width),
color, thickness, cv2.LINE_AA)
roi = fill_rectangle(roi, x - radius - new_width, y - new_width, x + radius + new_width, y, color)
return image, midcurve, roi
def generate_random(count):
lh_min = 80
lh_max = 150
for shape in shapes.keys():
draw = shapes[shape]
for i in range(count):
if BG_COLOR[0]:
image = np.ones(IMAGE_SHAPE, dtype=dtype) * 255
midcurve = np.ones(IMAGE_SHAPE, dtype=dtype) * 255
roi = np.ones(IMAGE_SHAPE, dtype=dtype) * 255
else:
image = np.zeros(IMAGE_SHAPE, dtype=dtype)
midcurve = np.zeros(IMAGE_SHAPE, dtype=dtype)
roi = np.zeros(IMAGE_SHAPE, dtype=dtype)
length = np.random.randint(lh_min, lh_max)
height = np.random.randint(lh_min, lh_max)
width_min = 5
width_max = int(min(length, height) / 3) - 10
width = np.random.randint(width_min, width_max)
rotation = np.random.randint(0, 360)
x = 128 - int(length / 2)
y = 128 - int(height / 2)
# x = np.random.randint(20,256-length-10)
# y = np.random.randint(20,256-height-10)
image, midcurve, roi = draw(image, midcurve, roi, x, y,
width, length, height,
color=FG_COLOR, thickness=1)
image, midcurve, roi = rotate(image, midcurve, roi, rotation)
clubbed_image = np.append(image, midcurve, axis=1)
clubbed_image = np.append(clubbed_image, roi, axis=1)
cv2.imwrite(BASE_DIR + 'data/new/v2/' + shape + str(i) + '.png', clubbed_image)
print(shape + str(i))
shapes = {}
shapes['T'] = draw_T
shapes['I'] = draw_I
shapes['L'] = draw_L
shapes['E'] = draw_E
shapes['C'] = draw_C
shapes['F'] = draw_F
if __name__ == "__main__":
generate_random(1000)
'''
x=128
y=128
rad = 50
width=10
#im = np.ones(IMAGE_SHAPE,dtype=float)
#im = cv2.addWeighted(midcurve, 0.5, image, 0.5, 0, im)
cv2.imwrite('new_data/test.png', clubbed_image)
im = cv2.imread('new_data/test.png', cv2.IMREAD_UNCHANGED)
cv2.imshow('a',im)
def draw_rect(image, midcurve, roi, x, y, width, height, length, rotation=0,
color=(0,0,0), thickness=1, scale=False):
points = []
points.append( (x,y) )
points.append( (x+length,y) )
points.append( (x+length,y+height) )
points.append( (x+length,y) )
points.append( (x,y) )
image = draw_polygon(image,points,color,thickness)
points = []
points.append( (x,y) )
points.append( (x+length,y) )
points.append( (x+length,y+height) )
points.append( (x+length,y) )
points.append( (x,y) )
'''
| 39.067633 | 102 | 0.560035 | 2,235 | 16,174 | 3.97047 | 0.066667 | 0.137931 | 0.149425 | 0.087785 | 0.821726 | 0.797498 | 0.75648 | 0.724138 | 0.711517 | 0.670723 | 0 | 0.029684 | 0.285582 | 16,174 | 413 | 103 | 39.162228 | 0.738295 | 0.022196 | 0 | 0.596429 | 0 | 0 | 0.004648 | 0.002256 | 0 | 0 | 0 | 0 | 0 | 1 | 0.039286 | false | 0 | 0.010714 | 0 | 0.085714 | 0.003571 | 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 |
f7b644d029f2afbdf6ac3ecf5f5dfb1eb2de2179 | 81 | py | Python | proj1/x/dataframe/core/series.py | sandan/python_namespace_packages | 2ae2715e4336681d1f19270a44825c1d7070d761 | [
"MIT"
] | null | null | null | proj1/x/dataframe/core/series.py | sandan/python_namespace_packages | 2ae2715e4336681d1f19270a44825c1d7070d761 | [
"MIT"
] | null | null | null | proj1/x/dataframe/core/series.py | sandan/python_namespace_packages | 2ae2715e4336681d1f19270a44825c1d7070d761 | [
"MIT"
] | null | null | null | from teradata.dataframe.core.dataframe import Frame
class Series(Frame):
pass
| 16.2 | 51 | 0.802469 | 11 | 81 | 5.909091 | 0.818182 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.123457 | 81 | 4 | 52 | 20.25 | 0.915493 | 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 |
f7c2e59504bca971a2ff1316de65de0c70773e55 | 50 | py | Python | catamount/tensors/__init__.py | jthestness/catamount | 9de3090f1a02a04774f28a0d10f677a76f50446f | [
"Apache-2.0"
] | 13 | 2018-12-18T04:09:22.000Z | 2020-08-17T22:51:25.000Z | dl_modifier/tensors/__init__.py | nikkkkhil/dl_modifier | d9c3f7c31db54e51aa5fa2bca2688f337a7f318f | [
"Apache-2.0"
] | 6 | 2018-12-20T00:21:00.000Z | 2019-08-01T02:01:12.000Z | catamount/tensors/__init__.py | jthestness/catamount | 9de3090f1a02a04774f28a0d10f677a76f50446f | [
"Apache-2.0"
] | 4 | 2018-11-23T19:14:25.000Z | 2019-10-28T07:53:03.000Z | from .tensor_shape import *
from .tensor import *
| 16.666667 | 27 | 0.76 | 7 | 50 | 5.285714 | 0.571429 | 0.540541 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.16 | 50 | 2 | 28 | 25 | 0.880952 | 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 |
f7c4661759c47691722f646f0cf909fbc2375a72 | 4,018 | py | Python | bitbucket/issue_comment.py | mattthias/BitBucket-api | be45515d506d87f14807a676f3c2f20d79674b75 | [
"ISC"
] | null | null | null | bitbucket/issue_comment.py | mattthias/BitBucket-api | be45515d506d87f14807a676f3c2f20d79674b75 | [
"ISC"
] | null | null | null | bitbucket/issue_comment.py | mattthias/BitBucket-api | be45515d506d87f14807a676f3c2f20d79674b75 | [
"ISC"
] | null | null | null | # -*- coding: utf-8 -*-
URLS = {
# Issue comments
'GET_COMMENTS': 'repositories/%(username)s/%(repo_slug)s/issues/%(issue_id)s/comments/',
'GET_COMMENT': 'repositories/%(username)s/%(repo_slug)s/issues/%(issue_id)s/comments/%(comment_id)s/',
'CREATE_COMMENT': 'repositories/%(username)s/%(repo_slug)s/issues/%(issue_id)s/comments/',
'UPDATE_COMMENT': 'repositories/%(username)s/%(repo_slug)s/issues/%(issue_id)s/comments/%(comment_id)s/',
'DELETE_COMMENT': 'repositories/%(username)s/%(repo_slug)s/issues/%(issue_id)s/comments/%(comment_id)s/',
}
class IssueComment(object):
""" This class provide issue's comments related methods to Bitbucket objects."""
def __init__(self, issue):
self.issue = issue
self.bitbucket = self.issue.bitbucket
self.bitbucket.URLS.update(URLS)
self.issue_id = issue.issue_id
def all(self, issue_id=None, repo_slug=None):
""" Get issue comments from one of your repositories.
"""
issue_id = issue_id or self.issue_id
repo_slug = repo_slug or self.bitbucket.repo_slug or ''
url = self.bitbucket.url('GET_COMMENTS',
username=self.bitbucket.username,
repo_slug=repo_slug,
issue_id=issue_id)
return self.bitbucket.dispatch('GET', url, auth=self.bitbucket.auth)
def get(self, comment_id, issue_id=None, repo_slug=None):
""" Get an issue from one of your repositories.
"""
issue_id = issue_id or self.issue_id
repo_slug = repo_slug or self.bitbucket.repo_slug or ''
url = self.bitbucket.url('GET_COMMENT',
username=self.bitbucket.username,
repo_slug=repo_slug,
issue_id=issue_id,
comment_id=comment_id)
return self.bitbucket.dispatch('GET', url, auth=self.bitbucket.auth)
def create(self, issue_id=None, repo_slug=None, **kwargs):
""" Add an issue comment to one of your repositories.
Each issue comment require only the content data field
the system autopopulate the rest.
"""
issue_id = issue_id or self.issue_id
repo_slug = repo_slug or self.bitbucket.repo_slug or ''
url = self.bitbucket.url('CREATE_COMMENT',
username=self.bitbucket.username,
repo_slug=repo_slug,
issue_id=issue_id)
return self.bitbucket.dispatch('POST', url, auth=self.bitbucket.auth, **kwargs)
def update(self, comment_id, issue_id=None, repo_slug=None, **kwargs):
""" Update an issue comment in one of your repositories.
Each issue comment require only the content data field
the system autopopulate the rest.
"""
issue_id = issue_id or self.issue_id
repo_slug = repo_slug or self.bitbucket.repo_slug or ''
url = self.bitbucket.url('UPDATE_COMMENT',
username=self.bitbucket.username,
repo_slug=repo_slug,
issue_id=issue_id,
comment_id=comment_id)
return self.bitbucket.dispatch('PUT', url, auth=self.bitbucket.auth, **kwargs)
def delete(self, comment_id, issue_id=None, repo_slug=None):
""" Delete an issue from one of your repositories.
"""
issue_id = issue_id or self.issue_id
repo_slug = repo_slug or self.bitbucket.repo_slug or ''
url = self.bitbucket.url('DELETE_COMMENT',
username=self.bitbucket.username,
repo_slug=repo_slug,
issue_id=issue_id,
comment_id=comment_id)
return self.bitbucket.dispatch('DELETE', url, auth=self.bitbucket.auth)
| 49 | 109 | 0.587108 | 484 | 4,018 | 4.671488 | 0.119835 | 0.114551 | 0.051747 | 0.06192 | 0.83149 | 0.820876 | 0.820876 | 0.759841 | 0.759841 | 0.712074 | 0 | 0.00036 | 0.309109 | 4,018 | 81 | 110 | 49.604938 | 0.814121 | 0.139373 | 0 | 0.535714 | 0 | 0.053571 | 0.160704 | 0.116279 | 0 | 0 | 0 | 0 | 0 | 1 | 0.107143 | false | 0 | 0 | 0 | 0.214286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
f7c8569a20d9d224c3e631dbc27aa77fcbab1fc0 | 96 | py | Python | venv/lib/python3.8/site-packages/jedi/inference/value/module.py | GiulianaPola/select_repeats | 17a0d053d4f874e42cf654dd142168c2ec8fbd11 | [
"MIT"
] | 2 | 2022-03-13T01:58:52.000Z | 2022-03-31T06:07:54.000Z | venv/lib/python3.8/site-packages/jedi/inference/value/module.py | DesmoSearch/Desmobot | b70b45df3485351f471080deb5c785c4bc5c4beb | [
"MIT"
] | 19 | 2021-11-20T04:09:18.000Z | 2022-03-23T15:05:55.000Z | venv/lib/python3.8/site-packages/jedi/inference/value/module.py | DesmoSearch/Desmobot | b70b45df3485351f471080deb5c785c4bc5c4beb | [
"MIT"
] | null | null | null | /home/runner/.cache/pip/pool/82/0f/9e/386248a4aa71542a69d83b23143759c4b99e6a2185fb92ee6dfc70f04c | 96 | 96 | 0.895833 | 9 | 96 | 9.555556 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.447917 | 0 | 96 | 1 | 96 | 96 | 0.447917 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
79052d2fe5882f5571d528bdb9d490248fe0dc67 | 91,819 | py | Python | prenlp/data/normalizer.py | awesome-archive/prenlp | e65acc8464b391d72d0ee086368b153c81ea19de | [
"Apache-2.0"
] | null | null | null | prenlp/data/normalizer.py | awesome-archive/prenlp | e65acc8464b391d72d0ee086368b153c81ea19de | [
"Apache-2.0"
] | null | null | null | prenlp/data/normalizer.py | awesome-archive/prenlp | e65acc8464b391d72d0ee086368b153c81ea19de | [
"Apache-2.0"
] | null | null | null | import re
class Normalizer:
"""Normalizer return the text replaced with 'repl'.
If 'repl' is None, normalization is not applied to the pattern corresponding to 'repl'.
Args:
url_repl (str): replace all urls in text with this
tag_repl (str): replace all tags in text with this
emoji_repl (str): replace all emojis in text with this
email_repl (str): replace all emails in text with this
tel_repl (str): replace all tels in text with this
"""
def __init__(self, url_repl='[URL]', tag_repl='[TAG]', emoji_repl='[EMOJI]', email_repl='[EMAIL]', tel_repl='[TEL]'):
# repls
self.url_repl = url_repl
self.tag_repl = tag_repl
self.emoji_repl = emoji_repl
self.email_repl = email_repl
self.tel_repl = tel_repl
self._normalize = []
self._init_normalize()
def normalize(self, text: str) -> str:
"""Normalize text.
Args:
text (str): text to be normalized
"""
for normalize_fn, repl in self._normalize:
text = normalize_fn(text, repl)
return text
def _init_normalize(self) -> None:
"""Initialize normalize function.
If 'repl' is None, normalization is not applied to the pattern corresponding to 'repl'.
"""
if self.url_repl is not None:
self._normalize.append((self._url_normalize, self.url_repl))
if self.tag_repl is not None:
self._normalize.append((self._tag_normalize, self.tag_repl))
if self.emoji_repl is not None:
self._normalize.append((self._emoji_normalize, self.emoji_repl))
if self.email_repl is not None:
self._normalize.append((self._email_normalize, self.email_repl))
if self.tel_repl is not None:
self._normalize.append((self._tel_normalize, self.tel_repl))
def _url_normalize(self, text: str, repl: str, regex=re.compile(r'(https?|ftp|www)\S+')) -> str:
"""Return the string obtained by replacing all urls in 'text' by the replacement 'repl'.
Args:
text (str): text to be replaced
repl (str): replace all urls in text with 'repl'
"""
text = regex.sub(repl, text)
return text
def _tag_normalize(self, text: str, repl: str, regex=re.compile(r'<[^>]*>')) -> str:
"""Return the string obtained by replacing all HTML tags in 'text' by the replacement 'repl'.
Args:
text (str): text to be replaced
repl (str): replace all HTML tags in text with 'repl'
"""
text = regex.sub(repl, text)
return text
def _emoji_normalize(self, text: str, repl: str, regex=re.compile(r'\U0001f469\u200d\u2764\ufe0f\u200d\U0001f48b\u200d\U0001f468|\U0001f468\u200d\u2764\ufe0f\u200d\U0001f48b\u200d\U0001f468|\U0001f469\u200d\u2764\ufe0f\u200d\U0001f48b\u200d\U0001f469|\U0001f9d1\U0001f3fb\u200d\U0001f91d\u200d\U0001f9d1\U0001f3fb|\U0001f9d1\U0001f3fc\u200d\U0001f91d\u200d\U0001f9d1\U0001f3fb|\U0001f9d1\U0001f3fc\u200d\U0001f91d\u200d\U0001f9d1\U0001f3fc|\U0001f9d1\U0001f3fd\u200d\U0001f91d\u200d\U0001f9d1\U0001f3fb|\U0001f9d1\U0001f3fd\u200d\U0001f91d\u200d\U0001f9d1\U0001f3fc|\U0001f9d1\U0001f3fd\u200d\U0001f91d\u200d\U0001f9d1\U0001f3fd|\U0001f9d1\U0001f3fe\u200d\U0001f91d\u200d\U0001f9d1\U0001f3fb|\U0001f9d1\U0001f3fe\u200d\U0001f91d\u200d\U0001f9d1\U0001f3fc|\U0001f9d1\U0001f3fe\u200d\U0001f91d\u200d\U0001f9d1\U0001f3fd|\U0001f9d1\U0001f3fe\u200d\U0001f91d\u200d\U0001f9d1\U0001f3fe|\U0001f9d1\U0001f3ff\u200d\U0001f91d\u200d\U0001f9d1\U0001f3fb|\U0001f9d1\U0001f3ff\u200d\U0001f91d\u200d\U0001f9d1\U0001f3fc|\U0001f9d1\U0001f3ff\u200d\U0001f91d\u200d\U0001f9d1\U0001f3fd|\U0001f9d1\U0001f3ff\u200d\U0001f91d\u200d\U0001f9d1\U0001f3fe|\U0001f9d1\U0001f3ff\u200d\U0001f91d\u200d\U0001f9d1\U0001f3ff|\U0001f469\U0001f3fc\u200d\U0001f91d\u200d\U0001f469\U0001f3fb|\U0001f469\U0001f3fd\u200d\U0001f91d\u200d\U0001f469\U0001f3fb|\U0001f469\U0001f3fd\u200d\U0001f91d\u200d\U0001f469\U0001f3fc|\U0001f469\U0001f3fe\u200d\U0001f91d\u200d\U0001f469\U0001f3fb|\U0001f469\U0001f3fe\u200d\U0001f91d\u200d\U0001f469\U0001f3fc|\U0001f469\U0001f3fe\u200d\U0001f91d\u200d\U0001f469\U0001f3fd|\U0001f469\U0001f3ff\u200d\U0001f91d\u200d\U0001f469\U0001f3fb|\U0001f469\U0001f3ff\u200d\U0001f91d\u200d\U0001f469\U0001f3fc|\U0001f469\U0001f3ff\u200d\U0001f91d\u200d\U0001f469\U0001f3fd|\U0001f469\U0001f3ff\u200d\U0001f91d\u200d\U0001f469\U0001f3fe|\U0001f469\U0001f3fb\u200d\U0001f91d\u200d\U0001f468\U0001f3fc|\U0001f469\U0001f3fb\u200d\U0001f91d\u200d\U0001f468\U0001f3fd|\U0001f469\U0001f3fb\u200d\U0001f91d\u200d\U0001f468\U0001f3fe|\U0001f469\U0001f3fb\u200d\U0001f91d\u200d\U0001f468\U0001f3ff|\U0001f469\U0001f3fc\u200d\U0001f91d\u200d\U0001f468\U0001f3fb|\U0001f469\U0001f3fc\u200d\U0001f91d\u200d\U0001f468\U0001f3fd|\U0001f469\U0001f3fc\u200d\U0001f91d\u200d\U0001f468\U0001f3fe|\U0001f469\U0001f3fc\u200d\U0001f91d\u200d\U0001f468\U0001f3ff|\U0001f469\U0001f3fd\u200d\U0001f91d\u200d\U0001f468\U0001f3fb|\U0001f469\U0001f3fd\u200d\U0001f91d\u200d\U0001f468\U0001f3fc|\U0001f469\U0001f3fd\u200d\U0001f91d\u200d\U0001f468\U0001f3fe|\U0001f469\U0001f3fd\u200d\U0001f91d\u200d\U0001f468\U0001f3ff|\U0001f469\U0001f3fe\u200d\U0001f91d\u200d\U0001f468\U0001f3fb|\U0001f469\U0001f3fe\u200d\U0001f91d\u200d\U0001f468\U0001f3fc|\U0001f469\U0001f3fe\u200d\U0001f91d\u200d\U0001f468\U0001f3fd|\U0001f469\U0001f3fe\u200d\U0001f91d\u200d\U0001f468\U0001f3ff|\U0001f469\U0001f3ff\u200d\U0001f91d\u200d\U0001f468\U0001f3fb|\U0001f469\U0001f3ff\u200d\U0001f91d\u200d\U0001f468\U0001f3fc|\U0001f469\U0001f3ff\u200d\U0001f91d\u200d\U0001f468\U0001f3fd|\U0001f469\U0001f3ff\u200d\U0001f91d\u200d\U0001f468\U0001f3fe|\U0001f468\U0001f3fc\u200d\U0001f91d\u200d\U0001f468\U0001f3fb|\U0001f468\U0001f3fd\u200d\U0001f91d\u200d\U0001f468\U0001f3fb|\U0001f468\U0001f3fd\u200d\U0001f91d\u200d\U0001f468\U0001f3fc|\U0001f468\U0001f3fe\u200d\U0001f91d\u200d\U0001f468\U0001f3fb|\U0001f468\U0001f3fe\u200d\U0001f91d\u200d\U0001f468\U0001f3fc|\U0001f468\U0001f3fe\u200d\U0001f91d\u200d\U0001f468\U0001f3fd|\U0001f468\U0001f3ff\u200d\U0001f91d\u200d\U0001f468\U0001f3fb|\U0001f468\U0001f3ff\u200d\U0001f91d\u200d\U0001f468\U0001f3fc|\U0001f468\U0001f3ff\u200d\U0001f91d\u200d\U0001f468\U0001f3fd|\U0001f468\U0001f3ff\u200d\U0001f91d\u200d\U0001f468\U0001f3fe|\U0001f469\u200d\u2764\u200d\U0001f48b\u200d\U0001f468|\U0001f468\u200d\u2764\u200d\U0001f48b\u200d\U0001f468|\U0001f469\u200d\u2764\u200d\U0001f48b\u200d\U0001f469|\U0001f468\u200d\U0001f469\u200d\U0001f467\u200d\U0001f466|\U0001f468\u200d\U0001f469\u200d\U0001f466\u200d\U0001f466|\U0001f468\u200d\U0001f469\u200d\U0001f467\u200d\U0001f467|\U0001f468\u200d\U0001f468\u200d\U0001f467\u200d\U0001f466|\U0001f468\u200d\U0001f468\u200d\U0001f466\u200d\U0001f466|\U0001f468\u200d\U0001f468\u200d\U0001f467\u200d\U0001f467|\U0001f469\u200d\U0001f469\u200d\U0001f467\u200d\U0001f466|\U0001f469\u200d\U0001f469\u200d\U0001f466\u200d\U0001f466|\U0001f469\u200d\U0001f469\u200d\U0001f467\u200d\U0001f467|\U0001f3f4\U000e0067\U000e0062\U000e0065\U000e006e\U000e0067\U000e007f|\U0001f3f4\U000e0067\U000e0062\U000e0073\U000e0063\U000e0074\U000e007f|\U0001f3f4\U000e0067\U000e0062\U000e0077\U000e006c\U000e0073\U000e007f|\U0001f469\u200d\u2764\ufe0f\u200d\U0001f468|\U0001f468\u200d\u2764\ufe0f\u200d\U0001f468|\U0001f469\u200d\u2764\ufe0f\u200d\U0001f469|\U0001f441\ufe0f\u200d\U0001f5e8\ufe0f|\U0001f471\U0001f3fb\u200d\u2642\ufe0f|\U0001f471\U0001f3fc\u200d\u2642\ufe0f|\U0001f471\U0001f3fd\u200d\u2642\ufe0f|\U0001f471\U0001f3fe\u200d\u2642\ufe0f|\U0001f471\U0001f3ff\u200d\u2642\ufe0f|\U0001f471\U0001f3fb\u200d\u2640\ufe0f|\U0001f471\U0001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-> str:
"""Return the string obtained by replacing all emojis in 'text' by the replacement 'repl'.
Args:
text (str): text to be replaced
repl (str): replace all emojis in text with 'repl'
Reference:
akkez/emoji.py: Python emoji regexp / python emoji detection
https://gist.github.com/akkez/99ceeae2f13c9d8d9be7df0279e2c438
"""
text = regex.sub(repl, text)
return text
def _email_normalize(self, text: str, repl: str, regex=re.compile(r'[a-zA-Z0-9.!#$%&\'*+/=?^_`{|}~-]+@[a-zA-Z0-9-]+\.[a-zA-Z0-9.]+')) -> str:
"""Return the string obtained by replacing all email addresses in 'text' by the replacement 'repl'.
Args:
text (str): text to be replaced
repl (str): replace all email addresses in text with 'repl'
"""
text = regex.sub(repl, text)
return text
def _tel_normalize(self, text: str, repl: str, regex=re.compile(r'[()+\d.\-]*[ ]?\d{2,4}[-. ]+\d{3,4}[-. ]+\d{3,4}')) -> str:
"""Return the string obtained by replacing all phone numbers in 'text' by the replacement 'repl'.
Args:
text (str): text to be replaced
repl (str): replace all phone numbers in text with 'repl'
"""
text = regex.sub(repl, text)
return text | 946.587629 | 87,778 | 0.831418 | 10,544 | 91,819 | 7.233687 | 0.132777 | 0.071324 | 0.053493 | 0.013845 | 0.232471 | 0.165487 | 0.054371 | 0.036396 | 0.029644 | 0.029644 | 0 | 0.514645 | 0.012764 | 91,819 | 97 | 87,779 | 946.587629 | 0.326773 | 0.018852 | 0 | 0.275 | 0 | 0.025 | 0.978157 | 0.97682 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.025 | 0 | 0.4 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
790593cfe62b7bcbe5c632cb438fd0aadd8ff5d1 | 621 | py | Python | exit/losses.py | exitudio/neural-network-pytorch | 2831eb92d396187cc0e043234c2dfd17fc83ae3b | [
"MIT"
] | null | null | null | exit/losses.py | exitudio/neural-network-pytorch | 2831eb92d396187cc0e043234c2dfd17fc83ae3b | [
"MIT"
] | null | null | null | exit/losses.py | exitudio/neural-network-pytorch | 2831eb92d396187cc0e043234c2dfd17fc83ae3b | [
"MIT"
] | null | null | null | from abc import ABC, abstractmethod
import numpy as np
from .constants import EPSILON
import torch
class Loss(ABC):
def __init__(self, expected_output, predict_output):
self._expected_output = expected_output
self._predict_output = predict_output
@abstractmethod
def get_loss(self):
pass
def crossEntropy(expected_output, predict_output):
return -(expected_output * torch.log(predict_output) +
(1-expected_output) * torch.log(1-predict_output+EPSILON)).mean()
def l2(expected_output, predict_output):
return ((predict_output - expected_output) ** 2).mean()
| 25.875 | 78 | 0.724638 | 77 | 621 | 5.545455 | 0.350649 | 0.262295 | 0.177986 | 0.189696 | 0.154567 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007905 | 0.185185 | 621 | 23 | 79 | 27 | 0.835968 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0.0625 | 0.25 | 0.125 | 0.6875 | 0 | 0 | 0 | 0 | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 6 |
790d34d501f0113b2f8b6c70872c3f6647520f89 | 36,551 | py | Python | repro_eval/Evaluator.py | irgroup/repro_eval | 35a4cf083dbb5f4b29d6ef602a604f0686a537c9 | [
"MIT"
] | 8 | 2020-10-27T02:11:53.000Z | 2022-03-02T11:00:10.000Z | repro_eval/Evaluator.py | irgroup/repro_eval | 35a4cf083dbb5f4b29d6ef602a604f0686a537c9 | [
"MIT"
] | 2 | 2021-01-25T19:59:39.000Z | 2021-12-07T09:29:01.000Z | repro_eval/Evaluator.py | irgroup/repro_eval | 35a4cf083dbb5f4b29d6ef602a604f0686a537c9 | [
"MIT"
] | 1 | 2021-04-16T16:21:16.000Z | 2021-04-16T16:21:16.000Z | import pytrec_eval
from repro_eval.util import trim, break_ties
from repro_eval.measure.statistics import ttest
from repro_eval.measure.overall_effects import ER, deltaRI
from repro_eval.measure.document_order import ktau_union as ktu, RBO
from repro_eval.measure.effectiveness import rmse as RMSE, nrmse as nRMSE
from repro_eval.config import ERR_MSG
class Evaluator(object):
"""
An abstract evaluator that holds the original baseline and advanced run as well as
the reproduced/replicated baseline and advanced run.
"""
def __init__(self, **kwargs):
self.qrel_orig_path = kwargs.get('qrel_orig_path', None)
self.run_b_orig_path = kwargs.get('run_b_orig_path', None)
self.run_a_orig_path = kwargs.get('run_a_orig_path', None)
self.run_b_rep_path = kwargs.get('run_b_rep_path', None)
self.run_a_rep_path = kwargs.get('run_a_rep_path', None)
self.run_b_orig = None
self.run_a_orig = None
self.run_b_rep = None
self.run_a_rep = None
self.run_b_orig_score = None
self.run_a_orig_score = None
self.run_b_rep_score = None
self.run_a_rep_score = None
if self.qrel_orig_path:
with open(self.qrel_orig_path, 'r') as f_qrel:
qrel_orig = pytrec_eval.parse_qrel(f_qrel)
self.rel_eval = pytrec_eval.RelevanceEvaluator(qrel_orig, pytrec_eval.supported_measures)
if self.run_b_orig_path:
with open(self.run_b_orig_path, 'r') as f_run:
self.run_b_orig = pytrec_eval.parse_run(f_run)
self.run_b_orig = {t: self.run_b_orig[t] for t in sorted(self.run_b_orig)}
if self.run_a_orig_path:
with open(self.run_a_orig_path, 'r') as f_run:
self.run_a_orig = pytrec_eval.parse_run(f_run)
self.run_a_orig = {t: self.run_a_orig[t] for t in sorted(self.run_a_orig)}
if self.run_b_rep_path:
with open(self.run_b_rep_path, 'r') as f_run:
self.run_b_rep = pytrec_eval.parse_run(f_run)
self.run_b_rep = {t: self.run_b_rep[t] for t in sorted(self.run_b_rep)}
if self.run_a_rep_path:
with open(self.run_a_rep_path, 'r') as f_run:
self.run_a_rep = pytrec_eval.parse_run(f_run)
self.run_a_rep = {t: self.run_a_rep[t] for t in sorted(self.run_a_rep)}
def trim(self, t=None, run=None):
"""
Trims all runs of the Evaluator to the length specified by the threshold value t.
@param t: Threshold parameter or number of top-k documents to be considered.
@param run: If run is not None, only the provided run will be trimmed.
"""
if run:
run = break_ties(run)
if t:
trim(run, thresh=t)
else:
trim(run)
return
if self.run_b_orig:
self.run_b_orig = break_ties(self.run_b_orig)
if t:
trim(self.run_b_orig, thresh=t)
else:
trim(self.run_b_orig)
if self.run_a_orig:
self.run_a_orig = break_ties(self.run_a_orig)
if t:
trim(self.run_a_orig, thresh=t)
else:
trim(self.run_a_orig)
if self.run_b_rep:
self.run_b_rep = break_ties(self.run_b_rep)
if t:
trim(self.run_b_rep, thresh=t)
else:
trim(self.run_b_rep)
if self.run_a_rep:
self.run_a_rep = break_ties(self.run_a_rep)
if t:
trim(self.run_a_rep, thresh=t)
else:
trim(self.run_a_rep)
def evaluate(self, run=None):
"""
Evaluates the original baseline and advanced run if available.
@param run: Reproduced or replicated run that will be evaluated.
"""
if self.run_b_orig:
self.run_b_orig = break_ties(self.run_b_orig)
self.run_b_orig_score = self.rel_eval.evaluate(self.run_b_orig)
if self.run_a_orig:
self.run_a_orig = break_ties(self.run_a_orig)
self.run_a_orig_score = self.rel_eval.evaluate(self.run_a_orig)
def er(self, run_b_score=None, run_a_score=None, run_b_path=None, run_a_path=None, print_feedback=False):
"""
Determines the Effect Ratio (ER) according to the following paper:
Timo Breuer, Nicola Ferro, Norbert Fuhr, Maria Maistro, Tetsuya Sakai, Philipp Schaer, Ian Soboroff.
How to Measure the Reproducibility of System-oriented IR Experiments.
Proceedings of SIGIR, pages 349-358, 2020.
The ER value is determined by the ratio between the mean improvements
of the original and reproduced/replicated experiments.
@param run_b_score: Scores of the baseline run,
if not provided the scores of the RpdEvaluator object will be used instead.
@param run_a_score: Scores of the advanced run,
if not provided the scores of the RpdEvaluator object will be used instead.
@param print_feedback: Boolean value indicating if feedback on progress should be printed.
@return: Dictionary containing the ER values for the specified run combination.
"""
if print_feedback:
print('Determining Effect Ratio (ER)')
if self.run_b_orig_score and self.run_a_orig_score and run_b_path and run_a_path:
with open(run_b_path, 'r') as b_run, open(run_a_path, 'r') as a_run:
run_b_rep = pytrec_eval.parse_run(b_run)
run_b_rep = {t: run_b_rep[t] for t in sorted(run_b_rep)}
run_b_rep_score = self.rel_eval_rpl.evaluate(run_b_rep) if hasattr(self, 'rel_eval_rpl') else self.rel_eval.evaluate(run_b_rep)
run_a_rep = pytrec_eval.parse_run(a_run)
run_a_rep = {t: run_a_rep[t] for t in sorted(run_a_rep)}
run_a_rep_score = self.rel_eval_rpl.evaluate(run_a_rep) if hasattr(self, 'rel_eval_rpl') else self.rel_eval.evaluate(run_a_rep)
return ER(orig_score_b=self.run_b_orig_score, orig_score_a=self.run_a_orig_score,
rep_score_b=run_b_rep_score, rep_score_a=run_a_rep_score, pbar=print_feedback)
if self.run_b_orig_score and self.run_a_orig_score and run_b_score and run_a_score:
return ER(orig_score_b=self.run_b_orig_score, orig_score_a=self.run_a_orig_score,
rep_score_b=run_b_score, rep_score_a=run_a_score, pbar=print_feedback)
if self.run_b_orig_score and self.run_a_orig_score and self.run_b_rep_score and self.run_a_rep_score:
return ER(orig_score_b=self.run_b_orig_score, orig_score_a=self.run_a_orig_score,
rep_score_b=self.run_b_rep_score, rep_score_a=self.run_a_rep_score, pbar=print_feedback)
else:
print(ERR_MSG)
def dri(self, run_b_score=None, run_a_score=None, run_b_path=None, run_a_path=None, print_feedback=False):
"""
Determines the Delta Relative Improvement (DeltaRI) according to the following paper:
Timo Breuer, Nicola Ferro, Norbert Fuhr, Maria Maistro, Tetsuya Sakai, Philipp Schaer, Ian Soboroff.
How to Measure the Reproducibility of System-oriented IR Experiments.
Proceedings of SIGIR, pages 349-358, 2020.
The DeltaRI value is determined by the difference between the relative improvements
of the original and reproduced/replicated experiments.
@param run_b_score: Scores of the baseline run,
if not provided the scores of the RpdEvaluator object will be used instead.
@param run_a_score: Scores of the advanced run,
if not provided the scores of the RpdEvaluator object will be used instead.
@param print_feedback: Boolean value indicating if feedback on progress should be printed.
@return: Dictionary containing the DRI values for the specified run combination.
"""
if print_feedback:
print('Determining Delta Relative Improvement (DRI)')
if self.run_b_orig_score and self.run_a_orig_score and run_b_path and run_a_path:
with open(run_b_path, 'r') as b_run, open(run_a_path, 'r') as a_run:
run_b_rep = pytrec_eval.parse_run(b_run)
run_b_rep = {t: run_b_rep[t] for t in sorted(run_b_rep)}
run_b_rep_score = self.rel_eval_rpl.evaluate(run_b_rep) if hasattr(self, 'rel_eval_rpl') else self.rel_eval.evaluate(run_b_rep)
run_a_rep = pytrec_eval.parse_run(a_run)
run_a_rep = {t: run_a_rep[t] for t in sorted(run_a_rep)}
run_a_rep_score = self.rel_eval_rpl.evaluate(run_a_rep) if hasattr(self, 'rel_eval_rpl') else self.rel_eval.evaluate(run_a_rep)
return deltaRI(orig_score_b=self.run_b_orig_score, orig_score_a=self.run_a_orig_score,
rep_score_b=run_b_rep_score, rep_score_a=run_a_rep_score, pbar=print_feedback)
if self.run_b_orig_score and self.run_a_orig_score and run_b_score and run_a_score:
return deltaRI(orig_score_b=self.run_b_orig_score, orig_score_a=self.run_a_orig_score,
rep_score_b=run_b_score, rep_score_a=run_a_score, pbar=print_feedback)
if self.run_b_orig_score and self.run_a_orig_score and self.run_b_rep_score and self.run_a_rep_score:
return deltaRI(orig_score_b=self.run_b_orig_score, orig_score_a=self.run_a_orig_score,
rep_score_b=self.run_b_rep_score, rep_score_a=self.run_a_rep_score, pbar=print_feedback)
else:
print(ERR_MSG)
def _ttest(self, rpd=True, run_b_score=None, run_a_score=None, print_feedback=False):
"""
Conducts either a paired (reproducibility) or unpaired (replicability) two-sided t-test according to the following paper:
Timo Breuer, Nicola Ferro, Norbert Fuhr, Maria Maistro, Tetsuya Sakai, Philipp Schaer, Ian Soboroff.
How to Measure the Reproducibility of System-oriented IR Experiments.
Proceedings of SIGIR, pages 349-358, 2020.
@param rpd: Boolean indicating if the evaluated runs are reproduced.
@param run_b_score: Scores of the baseline run,
if not provided the scores of the RpdEvaluator object will be used instead.
@param run_a_score: Scores of the advanced run,
if not provided the scores of the RpdEvaluator object will be used instead.
@param print_feedback: Boolean value indicating if feedback on progress should be printed.
@return: Dictionary with p-values that compare the score distributions of the baseline and advanced run.
"""
if self.run_b_orig_score and (self.run_b_rep_score or run_b_score):
if run_b_score and run_a_score:
if print_feedback:
print('Determining p-values of t-test for baseline and advanced run.')
return {'baseline': ttest(self.run_b_orig_score, run_b_score, rpd=rpd, pbar=print_feedback),
'advanced': ttest(self.run_a_orig_score, run_a_score, rpd=rpd, pbar=print_feedback)}
if run_b_score:
if print_feedback:
print('Determining p-values of t-test for baseline run.')
return {'baseline': ttest(self.run_b_orig_score, run_b_score, rpd=rpd, pbar=print_feedback)}
if self.run_a_orig_score and self.run_a_rep_score:
if print_feedback:
print('Determining p-values of t-test for baseline and advanced run.')
return {'baseline': ttest(self.run_b_orig_score, self.run_b_rep_score, rpd=rpd, pbar=print_feedback),
'advanced': ttest(self.run_a_orig_score, self.run_a_rep_score, rpd=rpd, pbar=print_feedback)}
else:
if print_feedback:
print('Determining p-values of t-test for baseline run.')
return {'baseline': ttest(self.run_b_orig_score, self.run_b_rep_score, rpd=rpd, pbar=print_feedback)}
else:
print(ERR_MSG)
class RpdEvaluator(Evaluator):
"""
The Reproducibility Evaluator is used for quantifying the different levels of reproduction for runs that were
derived from the same test collection used in the original experiment.
"""
def evaluate(self, run=None):
"""
Evaluates the scores of the original and reproduced baseline and advanced runs.
If a (reproduced) run is provided only this one will be evaluated and a dictionary with the corresponding
scores is returned.
@param run: A reproduced run. If not specified, the original and reproduced runs of the the RpdEvaluator will
be used instead.
@return: If run is specified, a dictionary with the corresponding scores is returned.
"""
if run:
return self.rel_eval.evaluate(run)
super(RpdEvaluator, self).evaluate()
if self.run_b_rep:
self.run_b_rep = break_ties(self.run_b_rep)
self.run_b_rep_score = self.rel_eval.evaluate(self.run_b_rep)
if self.run_a_rep:
self.run_a_rep = break_ties(self.run_a_rep)
self.run_a_rep_score = self.rel_eval.evaluate(self.run_a_rep)
def ktau_union(self, run_b_rep=None, run_a_rep=None, run_b_path=None, run_a_path=None, print_feedback=False):
"""
Determines Kendall's tau Union (KTU) between the original and reproduced document orderings
according to the following paper:
Timo Breuer, Nicola Ferro, Norbert Fuhr, Maria Maistro, Tetsuya Sakai, Philipp Schaer, Ian Soboroff.
How to Measure the Reproducibility of System-oriented IR Experiments.
Proceedings of SIGIR, pages 349-358, 2020.
@param run_b_rep: Scores of the baseline run,
if not provided the scores of the RpdEvaluator object will be used instead.
@param run_a_rep: Scores of the advanced run,
if not provided the scores of the RpdEvaluator object will be used instead.
@param run_b_path: Path to another reproduced baseline run,
if not provided the reproduced baseline run of the RpdEvaluator object will be used instead.
@param run_a_path: Path to another reproduced advanced run,
if not provided the reproduced advanced run of the RpdEvaluator object will be used instead.
@param print_feedback: Boolean value indicating if feedback on progress should be printed.
@return: Dictionary with KTU values that compare the document orderings of the original and reproduced runs.
"""
if self.run_b_orig and run_b_path:
if self.run_a_orig and run_a_path:
if print_feedback:
print("Determining Kendall's tau Union (KTU) for baseline and advanced run.")
with open(run_b_path, 'r') as b_run, open(run_a_path, 'r') as a_run:
run_b_rep = pytrec_eval.parse_run(b_run)
run_b_rep = {t: run_b_rep[t] for t in sorted(run_b_rep)}
run_a_rep = pytrec_eval.parse_run(a_run)
run_a_rep = {t: run_a_rep[t] for t in sorted(run_a_rep)}
return {'baseline': ktu(self.run_b_orig, run_b_rep, pbar=print_feedback),
'advanced': ktu(self.run_a_orig, run_a_rep, pbar=print_feedback)}
else:
if print_feedback:
print("Determining Kendall's tau Union (KTU) for baseline run.")
with open(run_b_path, 'r') as b_run:
run_b_rep = pytrec_eval.parse_run(b_run)
run_b_rep = {t: run_b_rep[t] for t in sorted(run_b_rep)}
return {'baseline': ktu(self.run_b_orig, run_b_rep, pbar=print_feedback)}
if self.run_b_orig and run_b_rep:
if self.run_a_orig and run_a_rep:
if print_feedback:
print("Determining Kendall's tau Union (KTU) for baseline and advanced run.")
return {'baseline': ktu(self.run_b_orig, run_b_rep, pbar=print_feedback),
'advanced': ktu(self.run_a_orig, run_a_rep, pbar=print_feedback)}
else:
if print_feedback:
print("Determining Kendall's tau Union (KTU) for baseline run.")
return {'baseline': ktu(self.run_b_orig, run_b_rep, pbar=print_feedback)}
if self.run_b_orig and self.run_b_rep:
if self.run_a_orig and self.run_a_rep:
if print_feedback:
print("Determining Kendall's tau Union (KTU) for baseline and advanced run.")
return {'baseline': ktu(self.run_b_orig, self.run_b_rep, pbar=print_feedback),
'advanced': ktu(self.run_a_orig, self.run_a_rep, pbar=print_feedback)}
else:
if print_feedback:
print("Determining Kendall's tau Union (KTU) for baseline run.")
return {'baseline': ktu(self.run_b_orig, self.run_b_rep, pbar=print_feedback)}
else:
print(ERR_MSG)
def rbo(self, run_b_rep=None, run_a_rep=None, run_b_path=None, run_a_path=None, print_feedback=False, misinfo=True):
"""
Determines the Rank-Biased Overlap (RBO) between the original and reproduced document orderings
according to the following paper:
Timo Breuer, Nicola Ferro, Norbert Fuhr, Maria Maistro, Tetsuya Sakai, Philipp Schaer, Ian Soboroff.
How to Measure the Reproducibility of System-oriented IR Experiments.
Proceedings of SIGIR, pages 349-358, 2020.
@param run_b_rep: Scores of the baseline run,
if not provided the scores of the RpdEvaluator object will be used instead.
@param run_a_rep: Scores of the advanced run,
if not provided the scores of the RpdEvaluator object will be used instead.
@param run_b_path: Path to another reproduced baseline run,
if not provided the reproduced baseline run of the RpdEvaluator object will be used instead.
@param run_a_path: Path to another reproduced advanced run,
if not provided the reproduced advanced run of the RpdEvaluator object will be used instead.
@param print_feedback: Boolean value indicating if feedback on progress should be printed.
@param misinfo: Use the RBO implementation that is also used in the TREC Health Misinformation Track.
See also: https://github.com/claclark/Compatibility
@return: Dictionary with RBO values that compare the document orderings of the original and reproduced runs.
"""
if self.run_b_orig and run_b_path:
if self.run_a_orig and run_a_path:
if print_feedback:
print("Determining Rank-biased Overlap (RBO) for baseline and advanced run.")
with open(run_b_path, 'r') as b_run, open(run_a_path, 'r') as a_run:
run_b_rep = pytrec_eval.parse_run(b_run)
run_b_rep = {t: run_b_rep[t] for t in sorted(run_b_rep)}
run_a_rep = pytrec_eval.parse_run(a_run)
run_a_rep = {t: run_a_rep[t] for t in sorted(run_a_rep)}
return {'baseline': RBO(self.run_b_orig, run_b_rep, pbar=print_feedback, misinfo=misinfo),
'advanced': RBO(self.run_a_orig, run_a_rep, pbar=print_feedback, misinfo=misinfo)}
else:
if print_feedback:
print("Determining Rank-biased Overlap (RBO) for baseline run.")
with open(run_b_path, 'r') as b_run:
run_b_rep = pytrec_eval.parse_run(b_run)
run_b_rep = {t: run_b_rep[t] for t in sorted(run_b_rep)}
return {'baseline': RBO(self.run_b_orig, run_b_rep, pbar=print_feedback, misinfo=misinfo)}
if self.run_b_orig and run_b_rep:
if self.run_a_orig and run_a_rep:
if print_feedback:
print("Determining Rank-biased Overlap (RBO) for baseline and advanced run.")
return {'baseline': RBO(self.run_b_orig, run_b_rep, pbar=print_feedback, misinfo=misinfo),
'advanced': RBO(self.run_a_orig, run_a_rep, pbar=print_feedback, misinfo=misinfo)}
else:
if print_feedback:
print("Determining Rank-biased Overlap (RBO) for baseline run.")
return {'baseline': RBO(self.run_b_orig, run_b_rep, pbar=print_feedback, misinfo=misinfo)}
if self.run_b_orig and self.run_b_rep:
if self.run_a_orig and self.run_a_rep:
if print_feedback:
print("Determining Rank-biased Overlap (RBO) for baseline and advanced run.")
return {'baseline': RBO(self.run_b_orig, self.run_b_rep, pbar=print_feedback, misinfo=misinfo),
'advanced': RBO(self.run_a_orig, self.run_a_rep, pbar=print_feedback, misinfo=misinfo)}
else:
if print_feedback:
print("Determining Rank-biased Overlap (RBO) for baseline run.")
return {'baseline': RBO(self.run_b_orig, self.run_b_rep, pbar=print_feedback, misinfo=misinfo)}
else:
print(ERR_MSG)
def rmse(self, run_b_score=None, run_a_score=None, run_b_path=None, run_a_path=None, print_feedback=False):
"""
Determines the Root Mean Square Error (RMSE) according to the following paper:
Timo Breuer, Nicola Ferro, Norbert Fuhr, Maria Maistro, Tetsuya Sakai, Philipp Schaer, Ian Soboroff.
How to Measure the Reproducibility of System-oriented IR Experiments.
Proceedings of SIGIR, pages 349-358, 2020.
@param run_b_score: Scores of the baseline run,
if not provided the scores of the RpdEvaluator object will be used instead.
@param run_a_score: Scores of the advanced run,
if not provided the scores of the RpdEvaluator object will be used instead.
@param run_b_path: Path to another reproduced baseline run,
if not provided the reproduced baseline run of the RpdEvaluator object will be used instead.
@param run_a_path: Path to another reproduced advanced run,
if not provided the reproduced advanced run of the RpdEvaluator object will be used instead.
@param print_feedback: Boolean value indicating if feedback on progress should be printed.
@return: Dictionary with RMSE values that measure the closeness
between the topics scores of the original and reproduced runs.
"""
if self.run_b_orig and run_b_path:
if self.run_a_orig and run_a_path:
if print_feedback:
print("Determining Root Mean Square Error (RMSE) for baseline and advanced run.")
with open(run_b_path, 'r') as b_run, open(run_a_path, 'r') as a_run:
run_b_rep = pytrec_eval.parse_run(b_run)
run_b_rep = {t: run_b_rep[t] for t in sorted(run_b_rep)}
run_b_rep_score = self.rel_eval.evaluate(run_b_rep)
run_a_rep = pytrec_eval.parse_run(a_run)
run_a_rep = {t: run_a_rep[t] for t in sorted(run_a_rep)}
run_a_rep_score = self.rel_eval.evaluate(run_a_rep)
return {'baseline': RMSE(self.run_b_orig_score, run_b_rep_score, pbar=print_feedback),
'advanced': RMSE(self.run_a_orig_score, run_a_rep_score, pbar=print_feedback)}
else:
if print_feedback:
print("Determining Root Mean Square Error (RMSE) for baseline run.")
with open(run_b_path, 'r') as b_run:
run_b_rep = pytrec_eval.parse_run(b_run)
run_b_rep = {t: run_b_rep[t] for t in sorted(run_b_rep)}
run_b_rep_score = self.rel_eval.evaluate(run_b_rep)
return {'baseline': RMSE(self.run_b_orig_score, run_b_rep_score, pbar=print_feedback)}
if self.run_b_orig_score and run_b_score:
if self.run_a_orig_score and run_a_score:
if print_feedback:
print("Determining Root Mean Square Error (RMSE) for baseline and advanced run.")
return {'baseline': RMSE(self.run_b_orig_score, run_b_score, pbar=print_feedback),
'advanced': RMSE(self.run_a_orig_score, run_a_score, pbar=print_feedback)}
else:
if print_feedback:
print("Determining Root Mean Square Error (RMSE) for baseline run.")
return {'baseline': RMSE(self.run_b_orig_score, run_b_score, pbar=print_feedback)}
if self.run_b_orig_score and self.run_b_rep_score:
if self.run_a_orig_score and self.run_a_rep_score:
if print_feedback:
print("Determining Root Mean Square Error (RMSE) for baseline and advanced run.")
return {'baseline': RMSE(self.run_b_orig_score, self.run_b_rep_score, pbar=print_feedback),
'advanced': RMSE(self.run_a_orig_score, self.run_a_rep_score, pbar=print_feedback)}
else:
if print_feedback:
print("Determining Root Mean Square Error (RMSE) for baseline run.")
return {'baseline': RMSE(self.run_b_orig_score, self.run_b_rep_score, pbar=print_feedback)}
else:
print(ERR_MSG)
def nrmse(self, run_b_score=None, run_a_score=None, run_b_path=None, run_a_path=None, print_feedback=False):
"""
Determines the normalized Root Mean Square Error (RMSE).
@param run_b_score: Scores of the baseline run,
if not provided the scores of the RpdEvaluator object will be used instead.
@param run_a_score: Scores of the advanced run,
if not provided the scores of the RpdEvaluator object will be used instead.
@param run_b_path: Path to another reproduced baseline run,
if not provided the reproduced baseline run of the RpdEvaluator object will be used instead.
@param run_a_path: Path to another reproduced advanced run,
if not provided the reproduced advanced run of the RpdEvaluator object will be used instead.
@param print_feedback: Boolean value indicating if feedback on progress should be printed.
@return: Dictionary with nRMSE values that measure the closeness
between the topics scores of the original and reproduced runs.
"""
if self.run_b_orig and run_b_path:
if self.run_a_orig and run_a_path:
if print_feedback:
print("Determining normalized Root Mean Square Error (RMSE) for baseline and advanced run.")
with open(run_b_path, 'r') as b_run, open(run_a_path, 'r') as a_run:
run_b_rep = pytrec_eval.parse_run(b_run)
run_b_rep = {t: run_b_rep[t] for t in sorted(run_b_rep)}
run_b_rep_score = self.rel_eval.evaluate(run_b_rep)
run_a_rep = pytrec_eval.parse_run(a_run)
run_a_rep = {t: run_a_rep[t] for t in sorted(run_a_rep)}
run_a_rep_score = self.rel_eval.evaluate(run_a_rep)
return {'baseline': nRMSE(self.run_b_orig_score, run_b_rep_score, pbar=print_feedback),
'advanced': nRMSE(self.run_a_orig_score, run_a_rep_score, pbar=print_feedback)}
else:
if print_feedback:
print("Determining normalized Root Mean Square Error (RMSE) for baseline run.")
with open(run_b_path, 'r') as b_run:
run_b_rep = pytrec_eval.parse_run(b_run)
run_b_rep = {t: run_b_rep[t] for t in sorted(run_b_rep)}
run_b_rep_score = self.rel_eval.evaluate(run_b_rep)
return {'baseline': nRMSE(self.run_b_orig_score, run_b_rep_score, pbar=print_feedback)}
if self.run_b_orig_score and run_b_score:
if self.run_a_orig_score and run_a_score:
if print_feedback:
print("Determining normalized Root Mean Square Error (RMSE) for baseline and advanced run.")
return {'baseline': nRMSE(self.run_b_orig_score, run_b_score, pbar=print_feedback),
'advanced': nRMSE(self.run_a_orig_score, run_a_score, pbar=print_feedback)}
else:
if print_feedback:
print("Determining normalized Root Mean Square Error (RMSE) for baseline run.")
return {'baseline': nRMSE(self.run_b_orig_score, run_b_score, pbar=print_feedback)}
if self.run_b_orig_score and self.run_b_rep_score:
if self.run_a_orig_score and self.run_a_rep_score:
if print_feedback:
print("Determining Root Mean Square Error (RMSE) for baseline and advanced run.")
return {'baseline': nRMSE(self.run_b_orig_score, self.run_b_rep_score, pbar=print_feedback),
'advanced': nRMSE(self.run_a_orig_score, self.run_a_rep_score, pbar=print_feedback)}
else:
if print_feedback:
print("Determining normalized Root Mean Square Error (RMSE) for baseline run.")
return {'baseline': nRMSE(self.run_b_orig_score, self.run_b_rep_score, pbar=print_feedback)}
else:
print(ERR_MSG)
def ttest(self, run_b_score=None, run_a_score=None, run_b_path=None, run_a_path=None, print_feedback=False):
"""
Conducts a paired two-tailed t-test for reproduced runs that were derived from the same test collection
as in the original experiment.
@param run_b_score: Scores of the baseline run,
if not provided the scores of the RpdEvaluator object will be used instead.
@param run_a_score: Scores of the advanced run,
if not provided the scores of the RpdEvaluator object will be used instead.
@param run_b_path: Path to another reproduced baseline run,
if not provided the reproduced baseline run of the RpdEvaluator object will be used instead.
@param run_a_path: Path to another reproduced advanced run,
if not provided the reproduced advanced run of the RpdEvaluator object will be used instead.
@param print_feedback: Boolean value indicating if feedback on progress should be printed.
@return: Dictionary with p-values that compare the score distributions of the baseline and advanced run.
"""
if run_b_path:
if run_a_path:
with open(run_b_path, 'r') as b_run, open(run_a_path, 'r') as a_run:
run_b_rep = pytrec_eval.parse_run(b_run)
run_b_rep = {t: run_b_rep[t] for t in sorted(run_b_rep)}
run_b_rep_score = self.rel_eval.evaluate(run_b_rep)
run_a_rep = pytrec_eval.parse_run(a_run)
run_a_rep = {t: run_a_rep[t] for t in sorted(run_a_rep)}
run_a_rep_score = self.rel_eval.evaluate(run_a_rep)
return self._ttest(run_b_score=run_b_rep_score, run_a_score=run_a_rep_score, print_feedback=print_feedback)
else:
with open(run_b_path, 'r') as b_run:
run_b_rep = pytrec_eval.parse_run(b_run)
run_b_rep = {t: run_b_rep[t] for t in sorted(run_b_rep)}
run_b_rep_score = self.rel_eval.evaluate(run_b_rep)
return self._ttest(run_b_score=run_b_rep_score, run_a_score=None, print_feedback=print_feedback)
return self._ttest(run_b_score=run_b_score, run_a_score=run_a_score, print_feedback=print_feedback)
class RplEvaluator(Evaluator):
"""
The Replicability Evaluator is used for quantifying the different levels of replication for runs that were
derived from a test collection not used in the original experiment.
"""
def __init__(self, **kwargs):
super(RplEvaluator, self).__init__(**kwargs)
self.qrel_rpl_path = kwargs.get('qrel_rpl_path', None)
if self.qrel_rpl_path:
with open(self.qrel_rpl_path, 'r') as f_qrel:
qrel_rpl = pytrec_eval.parse_qrel(f_qrel)
self.rel_eval_rpl = pytrec_eval.RelevanceEvaluator(qrel_rpl, pytrec_eval.supported_measures)
def evaluate(self, run=None):
"""
Evaluates the scores of the original and replicated baseline and advanced runs.
If a (replicated) run is provided only this one will be evaluated and a dictionary with the corresponding
scores is returned.
@param run: A replicated run. If not specified, the original and replicated runs of the the RplEvaluator will
be used instead.
@return: If run is specified, a dictionary with the corresponding scores is returned.
"""
if run:
return self.rel_eval_rpl.evaluate(run)
super(RplEvaluator, self).evaluate()
if self.run_b_rep:
self.run_b_rep = break_ties(self.run_b_rep)
self.run_b_rep_score = self.rel_eval_rpl.evaluate(self.run_b_rep)
if self.run_a_rep:
self.run_a_rep = break_ties(self.run_a_rep)
self.run_a_rep_score = self.rel_eval_rpl.evaluate(self.run_a_rep)
def ttest(self, run_b_score=None, run_a_score=None, run_b_path=None, run_a_path=None, print_feedback=False):
"""
Conducts an un-paired two-tailed t-test for replicated runs that were derived from a test collection
not used in the original experiment.
@param run_b_score: Scores of the baseline run,
if not provided the scores of the RpdEvaluator object will be used instead.
@param run_a_score: Scores of the advanced run,
if not provided the scores of the RpdEvaluator object will be used instead.
@param run_b_path: Path to another replicated baseline run,
if not provided the replicated baseline run of the RplEvaluator object will be used instead.
@param run_a_path: Path to another replicated advanced run,
if not provided the replicated advanced run of the RplEvaluator object will be used instead.
@param print_feedback: Boolean value indicating if feedback on progress should be printed.
@return: Dictionary with p-values that compare the score distributions of the baseline and advanced run.
"""
if run_b_path:
if run_a_path:
with open(run_b_path, 'r') as b_run, open(run_a_path, 'r') as a_run:
run_b_rep = pytrec_eval.parse_run(b_run)
run_b_rep = {t: run_b_rep[t] for t in sorted(run_b_rep)}
run_b_rep_score = self.rel_eval_rpl.evaluate(run_b_rep)
run_a_rep = pytrec_eval.parse_run(a_run)
run_a_rep = {t: run_a_rep[t] for t in sorted(run_a_rep)}
run_a_rep_score = self.rel_eval_rpl.evaluate(run_a_rep)
return self._ttest(rpd=False, run_b_score=run_b_rep_score, run_a_score=run_a_rep_score, print_feedback=print_feedback)
else:
with open(run_b_path, 'r') as b_run:
run_b_rep = pytrec_eval.parse_run(b_run)
run_b_rep = {t: run_b_rep[t] for t in sorted(run_b_rep)}
run_b_rep_score = self.rel_eval_rpl.evaluate(run_b_rep)
return self._ttest(rpd=False, run_b_score=run_b_rep_score, run_a_score=None, print_feedback=print_feedback)
return self._ttest(rpd=False, run_b_score=run_b_score, run_a_score=run_a_score, print_feedback=print_feedback)
| 59.723856 | 143 | 0.643019 | 5,388 | 36,551 | 4.072569 | 0.041945 | 0.055781 | 0.046575 | 0.039375 | 0.917422 | 0.894499 | 0.866928 | 0.856811 | 0.841726 | 0.818074 | 0 | 0.002304 | 0.287598 | 36,551 | 611 | 144 | 59.821604 | 0.840393 | 0.297584 | 0 | 0.681579 | 0 | 0 | 0.097243 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.039474 | false | 0 | 0.018421 | 0 | 0.178947 | 0.342105 | 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 |
7919b65310d700381cf3d0df92cdab1b15db83a9 | 149 | py | Python | enforce_codeowners/setup.py | JoshuaRM/keras-bot | 1c83c73b8e479ff11188ec98a6bcb24144ebc3ee | [
"MIT"
] | null | null | null | enforce_codeowners/setup.py | JoshuaRM/keras-bot | 1c83c73b8e479ff11188ec98a6bcb24144ebc3ee | [
"MIT"
] | 1 | 2019-03-28T00:36:44.000Z | 2019-04-01T19:27:56.000Z | enforce_codeowners/setup.py | JoshuaRM/keras-bot | 1c83c73b8e479ff11188ec98a6bcb24144ebc3ee | [
"MIT"
] | 1 | 2019-03-15T16:20:53.000Z | 2019-03-15T16:20:53.000Z | from setuptools import setup
from setuptools import find_packages
setup(name='Keras-bot-enforce-codeowners',
packages=find_packages())
| 21.285714 | 43 | 0.758389 | 18 | 149 | 6.166667 | 0.611111 | 0.252252 | 0.36036 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.161074 | 149 | 6 | 44 | 24.833333 | 0.888 | 0 | 0 | 0 | 0 | 0 | 0.195804 | 0.195804 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 6 |
7924096d39900472b76a499f1110319ad1452f9c | 78 | py | Python | source/nn/modules/__init__.py | tailerr/R-NET-pytorch | a6ed4a02b0cf68bade9e9a43a93ec290a3b6fabd | [
"MIT"
] | null | null | null | source/nn/modules/__init__.py | tailerr/R-NET-pytorch | a6ed4a02b0cf68bade9e9a43a93ec290a3b6fabd | [
"MIT"
] | null | null | null | source/nn/modules/__init__.py | tailerr/R-NET-pytorch | a6ed4a02b0cf68bade9e9a43a93ec290a3b6fabd | [
"MIT"
] | 2 | 2020-03-04T05:48:48.000Z | 2020-03-04T06:37:27.000Z | from .attention import *
from .output_layer import *
from .embedding import *
| 19.5 | 27 | 0.769231 | 10 | 78 | 5.9 | 0.6 | 0.338983 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.153846 | 78 | 3 | 28 | 26 | 0.893939 | 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 |
793953a11e2c35da980b4425383255d3cb8fe3b9 | 17,967 | py | Python | contract.py | Cocos-BCX/Python-Middleware-sample | 282c0ec56007dd1d750ae4a2e7bc148a58aef4d5 | [
"MIT"
] | 13 | 2019-08-21T06:18:52.000Z | 2021-02-13T02:43:59.000Z | contract.py | Cocos-BCX/Python-Middleware-sample | 282c0ec56007dd1d750ae4a2e7bc148a58aef4d5 | [
"MIT"
] | null | null | null | contract.py | Cocos-BCX/Python-Middleware-sample | 282c0ec56007dd1d750ae4a2e7bc148a58aef4d5 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from PythonMiddleware.graphene import Graphene
from PythonMiddleware.instance import set_shared_graphene_instance
from pprint import pprint
from PythonMiddleware.account import Account
nodeAddress = "ws://127.0.0.1:8020"
gph = Graphene(node=nodeAddress, blocking=True)
set_shared_graphene_instance(gph)
#创建钱包
#可以通过gph.wallet 直接使用钱包instance，操作钱包的接口。
if gph.wallet.created() is False:
gph.newWallet("123456")
#钱包解锁
if gph.wallet.locked() is True:
gph.wallet.unlock("123456")
#init0 ["COCOS5vzuh6YRRmCjUMeeHLsjnVCdJwqm9WZoUBDDNVp7HTwFM1ZYQT", "5JHdMwsWkEXsMozFrQAQKnKwo44CaV77H45S9PsH7QVbFQngJfw"]
pub="COCOS5vzuh6YRRmCjUMeeHLsjnVCdJwqm9WZoUBDDNVp7HTwFM1ZYQT"
pprint(gph.wallet.getPrivateKeyForPublicKey(pub))
#合约创建1：单行合约
data1="function hello() chainhelper:log('Hello World!') end"
pprint(gph.create_contract("contract.pytest.hello", data=data1, con_authority=pub, account="init0"))
'''
执行结果：
tx.buffer>>>: {'extensions': [], 'signatures': ['1f11b53efe5abb9fa5690644b437ce2fe7193b3deeb5bc0f13021241ad914c008019942a45a830253f49410e77537d8739a1f1c629f31938c613085faa8ad82aa9'], 'ref_block_prefix': 695707653, 'ref_block_num': 53573, 'operations': [[43, {'data': "function hello() chainhelper:log('Hello World!') end", 'extensions': [], 'fee': {'asset_id': '1.3.0', 'amount': 2051757}, 'contract_authority': 'COCOS5vzuh6YRRmCjUMeeHLsjnVCdJwqm9WZoUBDDNVp7HTwFM1ZYQT', 'owner': '1.2.4', 'name': 'contract.pytest.hello'}]], 'expiration': '2019-08-21T06:34:07'}
tx======>>: {'extensions': [], 'signatures': ['1f11b53efe5abb9fa5690644b437ce2fe7193b3deeb5bc0f13021241ad914c008019942a45a830253f49410e77537d8739a1f1c629f31938c613085faa8ad82aa9'], 'ref_block_prefix': 695707653, 'ref_block_num': 53573, 'operations': [[43, {'data': "function hello() chainhelper:log('Hello World!') end", 'extensions': [], 'fee': {'asset_id': '1.3.0', 'amount': 2051757}, 'contract_authority': 'COCOS5vzuh6YRRmCjUMeeHLsjnVCdJwqm9WZoUBDDNVp7HTwFM1ZYQT', 'owner': '1.2.4', 'name': 'contract.pytest.hello'}]], 'expiration': '2019-08-21T06:34:07'}
transaction>>>: {'extensions': [], 'signatures': ['1f11b53efe5abb9fa5690644b437ce2fe7193b3deeb5bc0f13021241ad914c008019942a45a830253f49410e77537d8739a1f1c629f31938c613085faa8ad82aa9'], 'ref_block_prefix': 695707653, 'ref_block_num': 53573, 'operations': [[43, {'data': "function hello() chainhelper:log('Hello World!') end", 'extensions': [], 'fee': {'asset_id': '1.3.0', 'amount': 2051757}, 'contract_authority': 'COCOS5vzuh6YRRmCjUMeeHLsjnVCdJwqm9WZoUBDDNVp7HTwFM1ZYQT', 'owner': '1.2.4', 'name': 'contract.pytest.hello'}]], 'expiration': '2019-08-21T06:34:07'}
['66d25d4d1a8fd68fe8d431f1af4b0c11d7d2760777261fc77488033a4c643177',
{'block': 53574,
'expiration': '2019-08-21T06:34:07',
'extensions': [],
'operation_results': [[2, {'real_running_time': 822, 'result': '1.16.1'}]],
'operations': [[43,
{'contract_authority': 'COCOS5vzuh6YRRmCjUMeeHLsjnVCdJwqm9WZoUBDDNVp7HTwFM1ZYQT',
'data': "function hello() chainhelper:log('Hello World!') "
'end',
'extensions': [],
'fee': {'amount': 2051757, 'asset_id': '1.3.0'},
'name': 'contract.pytest.hello',
'owner': '1.2.4'}]],
'ref_block_num': 53573,
'ref_block_prefix': 695707653,
'signatures': ['1f11b53efe5abb9fa5690644b437ce2fe7193b3deeb5bc0f13021241ad914c008019942a45a830253f49410e77537d8739a1f1c629f31938c613085faa8ad82aa9']}]
'''
#合约创建2: 多行合约
data2 = "function hello() \
chainhelper:log('Hello World!') \
chainhelper:log(date('%Y-%m-%dT%H:%M:%S', chainhelper:time())) \
end "
pprint(gph.create_contract("contract.pytest.hello2", data=data2, con_authority=pub, account="init0"))
'''
执行结果：
tx.buffer>>>: {'extensions': [], 'ref_block_num': 53615, 'ref_block_prefix': 3922499816, 'signatures': ['1f5088ae364efb3b1bbcf59e6adcdd969548d94023564e740631a6b7cbd283a3376533d17c0da90f9f7f4abeb08615f046c056bee4a16d9f6850eb95a325f126be'], 'operations': [[43, {'extensions': [], 'name': 'contract.pytest.hello2', 'data': "function hello() chainhelper:log('Hello World!') chainhelper:log(date('%Y-%m-%dT%H:%M:%S', chainhelper:time())) end ", 'owner': '1.2.4', 'contract_authority': 'COCOS5vzuh6YRRmCjUMeeHLsjnVCdJwqm9WZoUBDDNVp7HTwFM1ZYQT', 'fee': {'asset_id': '1.3.0', 'amount': 2122070}}]], 'expiration': '2019-08-21T06:37:37'}
tx======>>: {'extensions': [], 'ref_block_num': 53615, 'ref_block_prefix': 3922499816, 'signatures': ['1f5088ae364efb3b1bbcf59e6adcdd969548d94023564e740631a6b7cbd283a3376533d17c0da90f9f7f4abeb08615f046c056bee4a16d9f6850eb95a325f126be'], 'operations': [[43, {'extensions': [], 'name': 'contract.pytest.hello2', 'data': "function hello() chainhelper:log('Hello World!') chainhelper:log(date('%Y-%m-%dT%H:%M:%S', chainhelper:time())) end ", 'owner': '1.2.4', 'contract_authority': 'COCOS5vzuh6YRRmCjUMeeHLsjnVCdJwqm9WZoUBDDNVp7HTwFM1ZYQT', 'fee': {'asset_id': '1.3.0', 'amount': 2122070}}]], 'expiration': '2019-08-21T06:37:37'}
transaction>>>: {'extensions': [], 'ref_block_num': 53615, 'ref_block_prefix': 3922499816, 'signatures': ['1f5088ae364efb3b1bbcf59e6adcdd969548d94023564e740631a6b7cbd283a3376533d17c0da90f9f7f4abeb08615f046c056bee4a16d9f6850eb95a325f126be'], 'operations': [[43, {'extensions': [], 'name': 'contract.pytest.hello2', 'data': "function hello() chainhelper:log('Hello World!') chainhelper:log(date('%Y-%m-%dT%H:%M:%S', chainhelper:time())) end ", 'owner': '1.2.4', 'contract_authority': 'COCOS5vzuh6YRRmCjUMeeHLsjnVCdJwqm9WZoUBDDNVp7HTwFM1ZYQT', 'fee': {'asset_id': '1.3.0', 'amount': 2122070}}]], 'expiration': '2019-08-21T06:37:37'}
['dd79a4497506b0d24b0aff5e1896be5d7f2ff875adf08560d84382e128a3b87c',
{'block': 53616,
'expiration': '2019-08-21T06:37:37',
'extensions': [],
'operation_results': [[2, {'real_running_time': 780, 'result': '1.16.2'}]],
'operations': [[43,
{'contract_authority': 'COCOS5vzuh6YRRmCjUMeeHLsjnVCdJwqm9WZoUBDDNVp7HTwFM1ZYQT',
'data': "function hello() chainhelper:log('Hello "
"World!') "
"chainhelper:log(date('%Y-%m-%dT%H:%M:%S', "
'chainhelper:time())) end ',
'extensions': [],
'fee': {'amount': 2122070, 'asset_id': '1.3.0'},
'name': 'contract.pytest.hello2',
'owner': '1.2.4'}]],
'ref_block_num': 53615,
'ref_block_prefix': 3922499816,
'signatures': ['1f5088ae364efb3b1bbcf59e6adcdd969548d94023564e740631a6b7cbd283a3376533d17c0da90f9f7f4abeb08615f046c056bee4a16d9f6850eb95a325f126be']}]
'''
#合约创建3：通过文件创建
file = open("hello.lua", "r") #打开文件
context = file.read() #读取文件
print(context)
pprint(gph.create_contract("contract.pytest.hello3", data=context, con_authority=pub, account="init0"))
'''
执行结果：
function hello()
chainhelper:log('Hello World!')
chainhelper:log(date('%Y-%m-%dT%H:%M:%S', chainhelper:time()))
chainhelper:log('test end. 2019-08-21 14:35:08')
end
tx.buffer>>>: {'signatures': ['1f6a7c96c3c1664db6cd6fecd7e6764f3b1c61c1591a1b1ed54448b0055bae5ec508457fbf2f980fe35117982b2ef35f98fe43888d8a8c814bdc4c78ce84b61c07'], 'expiration': '2019-08-21T07:40:25', 'operations': [[43, {'contract_authority': 'COCOS5vzuh6YRRmCjUMeeHLsjnVCdJwqm9WZoUBDDNVp7HTwFM1ZYQT', 'owner': '1.2.4', 'name': 'contract.pytest.hello3', 'fee': {'amount': 2178710, 'asset_id': '1.3.0'}, 'extensions': [], 'data': "function hello() \n chainhelper:log('Hello World!') \n chainhelper:log(date('%Y-%m-%dT%H:%M:%S', chainhelper:time())) \n chainhelper:log('test end. 2019-08-21 14:35:08') \nend\n"}]], 'ref_block_prefix': 2432441567, 'extensions': [], 'ref_block_num': 54369}
tx======>>: {'signatures': ['1f6a7c96c3c1664db6cd6fecd7e6764f3b1c61c1591a1b1ed54448b0055bae5ec508457fbf2f980fe35117982b2ef35f98fe43888d8a8c814bdc4c78ce84b61c07'], 'expiration': '2019-08-21T07:40:25', 'operations': [[43, {'contract_authority': 'COCOS5vzuh6YRRmCjUMeeHLsjnVCdJwqm9WZoUBDDNVp7HTwFM1ZYQT', 'owner': '1.2.4', 'name': 'contract.pytest.hello3', 'fee': {'amount': 2178710, 'asset_id': '1.3.0'}, 'extensions': [], 'data': "function hello() \n chainhelper:log('Hello World!') \n chainhelper:log(date('%Y-%m-%dT%H:%M:%S', chainhelper:time())) \n chainhelper:log('test end. 2019-08-21 14:35:08') \nend\n"}]], 'ref_block_prefix': 2432441567, 'extensions': [], 'ref_block_num': 54369}
transaction>>>: {'signatures': ['1f6a7c96c3c1664db6cd6fecd7e6764f3b1c61c1591a1b1ed54448b0055bae5ec508457fbf2f980fe35117982b2ef35f98fe43888d8a8c814bdc4c78ce84b61c07'], 'expiration': '2019-08-21T07:40:25', 'operations': [[43, {'contract_authority': 'COCOS5vzuh6YRRmCjUMeeHLsjnVCdJwqm9WZoUBDDNVp7HTwFM1ZYQT', 'owner': '1.2.4', 'name': 'contract.pytest.hello3', 'fee': {'amount': 2178710, 'asset_id': '1.3.0'}, 'extensions': [], 'data': "function hello() \n chainhelper:log('Hello World!') \n chainhelper:log(date('%Y-%m-%dT%H:%M:%S', chainhelper:time())) \n chainhelper:log('test end. 2019-08-21 14:35:08') \nend\n"}]], 'ref_block_prefix': 2432441567, 'extensions': [], 'ref_block_num': 54369}
['53a1bcf027ddaf235f26b9987b41feeaa7087d2cf288f5efa76b727df6edfc67',
{'block': 54370,
'expiration': '2019-08-21T07:40:25',
'extensions': [],
'operation_results': [[2, {'real_running_time': 936, 'result': '1.16.3'}]],
'operations': [[43,
{'contract_authority': 'COCOS5vzuh6YRRmCjUMeeHLsjnVCdJwqm9WZoUBDDNVp7HTwFM1ZYQT',
'data': 'function hello() \n'
" chainhelper:log('Hello World!') \n"
" chainhelper:log(date('%Y-%m-%dT%H:%M:%S', "
'chainhelper:time())) \n'
" chainhelper:log('test end. 2019-08-21 "
"14:35:08') \n"
'end\n',
'extensions': [],
'fee': {'amount': 2178710, 'asset_id': '1.3.0'},
'name': 'contract.pytest.hello3',
'owner': '1.2.4'}]],
'ref_block_num': 54369,
'ref_block_prefix': 2432441567,
'signatures': ['1f6a7c96c3c1664db6cd6fecd7e6764f3b1c61c1591a1b1ed54448b0055bae5ec508457fbf2f980fe35117982b2ef35f98fe43888d8a8c814bdc4c78ce84b61c07']}]
'''
#调用合约: contract.pytest.hello2
value_list=[]
#调用1
pprint(gph.call_contract_function("contract.pytest.hello2", "hello", value_list=value_list, account="test14"))
#调用2
pprint(gph.call_contract_function("1.16.2", "hello", value_list=value_list, account="test14"))
'''
执行结果：
value_list:>>> []
value_list:>>> []
tx.buffer>>>: {'ref_block_num': 53792, 'expiration': '2019-08-21T06:52:24', 'operations': [[44, {'value_list': [], 'function_name': 'hello', 'caller': '1.2.17', 'fee': {'asset_id': '1.3.0', 'amount': 2007812}, 'contract_id': '1.16.2', 'extensions': []}]], 'extensions': [], 'ref_block_prefix': 1080919947, 'signatures': ['200e225780dc4381daeb9322a81733d2a085b68d41d5c5468794b106f2f21a3679228fcbc97035aa992c37570f1a548a6ed764a84d479b06cf5cf6adb70ce5d1a1', '203d5a926b2777f092c6659838c80c71521a37bf549edf221778b9aa7763fa97167d0f679123e4078b77371c58f15bccc01cc2ea4155ef322d8f0221af36e3126b']}
tx======>>: {'ref_block_num': 53792, 'expiration': '2019-08-21T06:52:24', 'operations': [[44, {'value_list': [], 'function_name': 'hello', 'caller': '1.2.17', 'fee': {'asset_id': '1.3.0', 'amount': 2007812}, 'contract_id': '1.16.2', 'extensions': []}]], 'extensions': [], 'ref_block_prefix': 1080919947, 'signatures': ['200e225780dc4381daeb9322a81733d2a085b68d41d5c5468794b106f2f21a3679228fcbc97035aa992c37570f1a548a6ed764a84d479b06cf5cf6adb70ce5d1a1', '203d5a926b2777f092c6659838c80c71521a37bf549edf221778b9aa7763fa97167d0f679123e4078b77371c58f15bccc01cc2ea4155ef322d8f0221af36e3126b']}
transaction>>>: {'ref_block_num': 53792, 'expiration': '2019-08-21T06:52:24', 'operations': [[44, {'value_list': [], 'function_name': 'hello', 'caller': '1.2.17', 'fee': {'asset_id': '1.3.0', 'amount': 2007812}, 'contract_id': '1.16.2', 'extensions': []}]], 'extensions': [], 'ref_block_prefix': 1080919947, 'signatures': ['200e225780dc4381daeb9322a81733d2a085b68d41d5c5468794b106f2f21a3679228fcbc97035aa992c37570f1a548a6ed764a84d479b06cf5cf6adb70ce5d1a1', '203d5a926b2777f092c6659838c80c71521a37bf549edf221778b9aa7763fa97167d0f679123e4078b77371c58f15bccc01cc2ea4155ef322d8f0221af36e3126b']}
['6a73a9d7dc3e56fd6087d17592ce55e5c8453f21c268c1f66ef0055759b943f3',
{'block': 53794,
'expiration': '2019-08-21T06:52:24',
'extensions': [],
'operation_results': [[4,
{'additional_cost': {'amount': 637109,
'asset_id': '1.3.0'},
'contract_affecteds': [[3,
{'affected_account': '1.2.17',
'message': 'Hello World!'}],
[3,
{'affected_account': '1.2.17',
'message': '2019-08-21T05:52:25'}]],
'contract_id': '1.16.2',
'existed_pv': False,
'process_value': '',
'real_running_time': 600}]],
'operations': [[44,
{'caller': '1.2.17',
'contract_id': '1.16.2',
'extensions': [],
'fee': {'amount': 2007812, 'asset_id': '1.3.0'},
'function_name': 'hello',
'value_list': []}]],
'ref_block_num': 53792,
'ref_block_prefix': 1080919947,
'signatures': ['200e225780dc4381daeb9322a81733d2a085b68d41d5c5468794b106f2f21a3679228fcbc97035aa992c37570f1a548a6ed764a84d479b06cf5cf6adb70ce5d1a1',
'203d5a926b2777f092c6659838c80c71521a37bf549edf221778b9aa7763fa97167d0f679123e4078b77371c58f15bccc01cc2ea4155ef322d8f0221af36e3126b']}]
'''
#合约调用：调用通过文件创建的合约：contract.pytest.hello3
pprint(gph.call_contract_function("contract.pytest.hello3", "hello", value_list=value_list, account="test14"))
'''
合约执行：
value_list:>>> []
value_list:>>> []
tx.buffer>>>: {'ref_block_num': 54396, 'ref_block_prefix': 398433404, 'extensions': [], 'operations': [[44, {'value_list': [], 'extensions': [], 'contract_id': '1.16.3', 'function_name': 'hello', 'caller': '1.2.17', 'fee': {'amount': 2007812, 'asset_id': '1.3.0'}}]], 'expiration': '2019-08-21T07:42:41', 'signatures': ['20312321ead5eefee489d55868fad2b3782f3b39fdf9fcf79a229e4967a1a49f0460e658e3d14fde1162a78f4707ac7ffd14a0c98f132723e72856bed6d75721c0', '203afda066ec1969e9eb5b37e015744011aff225ae0674692b3e0f505d21d64b352e9e51b8fffdf66cec6ec1bd9233cfefae8226b159b5673744304068172017a2']}
tx======>>: {'ref_block_num': 54396, 'ref_block_prefix': 398433404, 'extensions': [], 'operations': [[44, {'value_list': [], 'extensions': [], 'contract_id': '1.16.3', 'function_name': 'hello', 'caller': '1.2.17', 'fee': {'amount': 2007812, 'asset_id': '1.3.0'}}]], 'expiration': '2019-08-21T07:42:41', 'signatures': ['20312321ead5eefee489d55868fad2b3782f3b39fdf9fcf79a229e4967a1a49f0460e658e3d14fde1162a78f4707ac7ffd14a0c98f132723e72856bed6d75721c0', '203afda066ec1969e9eb5b37e015744011aff225ae0674692b3e0f505d21d64b352e9e51b8fffdf66cec6ec1bd9233cfefae8226b159b5673744304068172017a2']}
transaction>>>: {'ref_block_num': 54396, 'ref_block_prefix': 398433404, 'extensions': [], 'operations': [[44, {'value_list': [], 'extensions': [], 'contract_id': '1.16.3', 'function_name': 'hello', 'caller': '1.2.17', 'fee': {'amount': 2007812, 'asset_id': '1.3.0'}}]], 'expiration': '2019-08-21T07:42:41', 'signatures': ['20312321ead5eefee489d55868fad2b3782f3b39fdf9fcf79a229e4967a1a49f0460e658e3d14fde1162a78f4707ac7ffd14a0c98f132723e72856bed6d75721c0', '203afda066ec1969e9eb5b37e015744011aff225ae0674692b3e0f505d21d64b352e9e51b8fffdf66cec6ec1bd9233cfefae8226b159b5673744304068172017a2']}
['2bc05435b5d4eac3f69da12b5917eb9d29f2825db0dc152ee96415e03294f046',
{'block': 54397,
'expiration': '2019-08-21T07:42:41',
'extensions': [],
'operation_results': [[4,
{'additional_cost': {'amount': 701359,
'asset_id': '1.3.0'},
'contract_affecteds': [[3,
{'affected_account': '1.2.17',
'message': 'Hello World!'}],
[3,
{'affected_account': '1.2.17',
'message': '2019-08-21T06:42:40'}],
[3,
{'affected_account': '1.2.17',
'message': 'test end. '
'2019-08-21 '
'14:35:08'}]],
'contract_id': '1.16.3',
'existed_pv': False,
'process_value': '',
'real_running_time': 633}]],
'operations': [[44,
{'caller': '1.2.17',
'contract_id': '1.16.3',
'extensions': [],
'fee': {'amount': 2007812, 'asset_id': '1.3.0'},
'function_name': 'hello',
'value_list': []}]],
'ref_block_num': 54396,
'ref_block_prefix': 398433404,
'signatures': ['20312321ead5eefee489d55868fad2b3782f3b39fdf9fcf79a229e4967a1a49f0460e658e3d14fde1162a78f4707ac7ffd14a0c98f132723e72856bed6d75721c0',
'203afda066ec1969e9eb5b37e015744011aff225ae0674692b3e0f505d21d64b352e9e51b8fffdf66cec6ec1bd9233cfefae8226b159b5673744304068172017a2']}]
'''
| 83.957944 | 699 | 0.654812 | 1,502 | 17,967 | 7.701731 | 0.126498 | 0.027663 | 0.015214 | 0.017116 | 0.822095 | 0.817082 | 0.800311 | 0.722943 | 0.695712 | 0.684474 | 0 | 0.258496 | 0.176212 | 17,967 | 213 | 700 | 84.352113 | 0.523073 | 0.017977 | 0 | 0 | 0 | 0.035714 | 0.226969 | 0.124166 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.142857 | 0.321429 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 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 |
f70982161030e47bcbd5ca140e005db20ffc06d5 | 1,694 | py | Python | test/writing/test_minimize.py | backwardn/policy_sentry | 6676fba80b00bcfb3d3884ce5777168a9bbcbf71 | [
"MIT"
] | 1 | 2020-07-20T16:16:30.000Z | 2020-07-20T16:16:30.000Z | test/writing/test_minimize.py | avineshwar/policy_sentry | 1b52b50d97293109ac54350a6c09e48643c7170d | [
"MIT"
] | 14 | 2020-05-06T21:34:17.000Z | 2021-03-05T01:04:06.000Z | test/writing/test_minimize.py | Mohib-hub/policy_sentry | d04a69eb7cce2e184c986e0a364b57eea01ef4da | [
"MIT"
] | null | null | null | import unittest
from policy_sentry.writing.minimize import minimize_statement_actions
from policy_sentry.querying.all import get_all_actions
class MinimizeWildcardActionsTestCase(unittest.TestCase):
def test_minimize_statement_actions(self):
actions_to_minimize = [
"kms:CreateGrant",
"kms:CreateCustomKeyStore",
"ec2:AuthorizeSecurityGroupEgress",
"ec2:AuthorizeSecurityGroupIngress",
]
desired_result = ["ec2:authorizes*", "kms:createc*", "kms:createg*"]
all_actions = get_all_actions(lowercase=True)
minchars = None
self.maxDiff = None
# minimized_actions_list = minimize_statement_actions(desired_actions, all_actions, minchars)
self.assertListEqual(
sorted(
minimize_statement_actions(actions_to_minimize, all_actions, minchars)
),
sorted(desired_result),
)
def test_minimize_statement_actions_funky_case(self):
actions_to_minimize = [
"kms:creategrant",
"kms:createcustomkeystore",
"ec2:authorizesecuritygroupegress",
"ec2:authorizesecuritygroupingress",
]
desired_result = ["ec2:authorizes*", "kms:createc*", "kms:createg*"]
all_actions = get_all_actions(lowercase=True)
minchars = None
self.maxDiff = None
# minimized_actions_list = minimize_statement_actions(desired_actions, all_actions, minchars)
self.assertListEqual(
sorted(
minimize_statement_actions(actions_to_minimize, all_actions, minchars)
),
sorted(desired_result),
)
| 37.644444 | 101 | 0.656434 | 152 | 1,694 | 6.986842 | 0.269737 | 0.084746 | 0.158192 | 0.045198 | 0.828625 | 0.770245 | 0.770245 | 0.770245 | 0.770245 | 0.770245 | 0 | 0.0048 | 0.262102 | 1,694 | 44 | 102 | 38.5 | 0.8448 | 0.108028 | 0 | 0.526316 | 0 | 0 | 0.189655 | 0.118037 | 0 | 0 | 0 | 0 | 0.052632 | 1 | 0.052632 | false | 0 | 0.078947 | 0 | 0.157895 | 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 |
f7357d01e959dfee06c677343477559f2ba68a03 | 77 | py | Python | form.py | kdvuong/cgi-lab | b1e3a68d60607fd93124dab4e9f1b396525fa361 | [
"Apache-2.0"
] | null | null | null | form.py | kdvuong/cgi-lab | b1e3a68d60607fd93124dab4e9f1b396525fa361 | [
"Apache-2.0"
] | null | null | null | form.py | kdvuong/cgi-lab | b1e3a68d60607fd93124dab4e9f1b396525fa361 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
from templates import login_page
print(login_page())
| 15.4 | 32 | 0.779221 | 12 | 77 | 4.833333 | 0.833333 | 0.310345 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014493 | 0.103896 | 77 | 4 | 33 | 19.25 | 0.826087 | 0.272727 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0.5 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 6 |
f747f17175c6f52ae99009332497137eae1f81cc | 63 | py | Python | marshmallow_dumped_order/__init__.py | maximdanilchenko/marshmallow-dumped-order | b266ca795a1563e49f33d01d394c69915e8535a8 | [
"MIT"
] | null | null | null | marshmallow_dumped_order/__init__.py | maximdanilchenko/marshmallow-dumped-order | b266ca795a1563e49f33d01d394c69915e8535a8 | [
"MIT"
] | null | null | null | marshmallow_dumped_order/__init__.py | maximdanilchenko/marshmallow-dumped-order | b266ca795a1563e49f33d01d394c69915e8535a8 | [
"MIT"
] | null | null | null | from marshmallow_dumped_order.dumped_order import dumped_order
| 31.5 | 62 | 0.920635 | 9 | 63 | 6 | 0.555556 | 0.611111 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.063492 | 63 | 1 | 63 | 63 | 0.915254 | 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 |
f750bd571033d52bea706b8151121f0d99b64242 | 57,734 | py | Python | cisco-ios-xr/ydk/models/cisco_ios_xr/_meta/_Cisco_IOS_XR_aaa_protocol_radius_oper.py | tkamata-test/ydk-py | b637e7853a8edbbd31fbc05afa3aa4110b31c5f9 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | cisco-ios-xr/ydk/models/cisco_ios_xr/_meta/_Cisco_IOS_XR_aaa_protocol_radius_oper.py | tkamata-test/ydk-py | b637e7853a8edbbd31fbc05afa3aa4110b31c5f9 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | cisco-ios-xr/ydk/models/cisco_ios_xr/_meta/_Cisco_IOS_XR_aaa_protocol_radius_oper.py | tkamata-test/ydk-py | b637e7853a8edbbd31fbc05afa3aa4110b31c5f9 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
import re
import collections
from enum import Enum
from ydk._core._dm_meta_info import _MetaInfoClassMember, _MetaInfoClass, _MetaInfoEnum
from ydk.types import Empty, YList, YLeafList, DELETE, Decimal64, FixedBitsDict
from ydk._core._dm_meta_info import ATTRIBUTE, REFERENCE_CLASS, REFERENCE_LIST, REFERENCE_LEAFLIST, REFERENCE_IDENTITY_CLASS, REFERENCE_ENUM_CLASS, REFERENCE_BITS, REFERENCE_UNION
from ydk.errors import YPYError, YPYModelError
from ydk.providers._importer import _yang_ns
_meta_table = {
'Radius.Nodes.Node.Client' : {
'meta_info' : _MetaInfoClass('Radius.Nodes.Node.Client',
False,
[
_MetaInfoClassMember('authentication-nas-id', ATTRIBUTE, 'str' , None, None,
[], [],
''' NAS-Identifier of the RADIUS authentication
client
''',
'authentication_nas_id',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('unknown-accounting-responses', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of RADIUS accounting responses packets
received from unknown addresses
''',
'unknown_accounting_responses',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('unknown-authentication-responses', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of RADIUS access responses packets
received from unknown addresses
''',
'unknown_authentication_responses',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
],
'Cisco-IOS-XR-aaa-protocol-radius-oper',
'client',
_yang_ns._namespaces['Cisco-IOS-XR-aaa-protocol-radius-oper'],
'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper'
),
},
'Radius.Nodes.Node.DeadCriteria.Hosts.Host.Time' : {
'meta_info' : _MetaInfoClass('Radius.Nodes.Node.DeadCriteria.Hosts.Host.Time',
False,
[
_MetaInfoClassMember('is-computed', ATTRIBUTE, 'bool' , None, None,
[], [],
''' True if computed; false if not
''',
'is_computed',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('value', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Value for time or tries
''',
'value',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
],
'Cisco-IOS-XR-aaa-protocol-radius-oper',
'time',
_yang_ns._namespaces['Cisco-IOS-XR-aaa-protocol-radius-oper'],
'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper'
),
},
'Radius.Nodes.Node.DeadCriteria.Hosts.Host.Tries' : {
'meta_info' : _MetaInfoClass('Radius.Nodes.Node.DeadCriteria.Hosts.Host.Tries',
False,
[
_MetaInfoClassMember('is-computed', ATTRIBUTE, 'bool' , None, None,
[], [],
''' True if computed; false if not
''',
'is_computed',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('value', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Value for time or tries
''',
'value',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
],
'Cisco-IOS-XR-aaa-protocol-radius-oper',
'tries',
_yang_ns._namespaces['Cisco-IOS-XR-aaa-protocol-radius-oper'],
'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper'
),
},
'Radius.Nodes.Node.DeadCriteria.Hosts.Host' : {
'meta_info' : _MetaInfoClass('Radius.Nodes.Node.DeadCriteria.Hosts.Host',
False,
[
_MetaInfoClassMember('acct-port-number', ATTRIBUTE, 'int' , None, None,
[('1', '65535')], [],
''' Accounting Port number (standard port 1646)
''',
'acct_port_number',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('auth-port-number', ATTRIBUTE, 'int' , None, None,
[('1', '65535')], [],
''' Authentication Port number (standard port
1645)
''',
'auth_port_number',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('ip-address', REFERENCE_UNION, 'str' , None, None,
[], [],
''' IP address of RADIUS server
''',
'ip_address',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False, [
_MetaInfoClassMember('ip-address', ATTRIBUTE, 'str' , None, None,
[], ['(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'],
''' IP address of RADIUS server
''',
'ip_address',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('ip-address', ATTRIBUTE, 'str' , None, None,
[], ['((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?'],
''' IP address of RADIUS server
''',
'ip_address',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
]),
_MetaInfoClassMember('time', REFERENCE_CLASS, 'Time' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper', 'Radius.Nodes.Node.DeadCriteria.Hosts.Host.Time',
[], [],
''' Time in seconds
''',
'time',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('tries', REFERENCE_CLASS, 'Tries' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper', 'Radius.Nodes.Node.DeadCriteria.Hosts.Host.Tries',
[], [],
''' Number of tries
''',
'tries',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
],
'Cisco-IOS-XR-aaa-protocol-radius-oper',
'host',
_yang_ns._namespaces['Cisco-IOS-XR-aaa-protocol-radius-oper'],
'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper'
),
},
'Radius.Nodes.Node.DeadCriteria.Hosts' : {
'meta_info' : _MetaInfoClass('Radius.Nodes.Node.DeadCriteria.Hosts',
False,
[
_MetaInfoClassMember('host', REFERENCE_LIST, 'Host' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper', 'Radius.Nodes.Node.DeadCriteria.Hosts.Host',
[], [],
''' RADIUS Server
''',
'host',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
],
'Cisco-IOS-XR-aaa-protocol-radius-oper',
'hosts',
_yang_ns._namespaces['Cisco-IOS-XR-aaa-protocol-radius-oper'],
'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper'
),
},
'Radius.Nodes.Node.DeadCriteria' : {
'meta_info' : _MetaInfoClass('Radius.Nodes.Node.DeadCriteria',
False,
[
_MetaInfoClassMember('hosts', REFERENCE_CLASS, 'Hosts' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper', 'Radius.Nodes.Node.DeadCriteria.Hosts',
[], [],
''' RADIUS server dead criteria host table
''',
'hosts',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
],
'Cisco-IOS-XR-aaa-protocol-radius-oper',
'dead-criteria',
_yang_ns._namespaces['Cisco-IOS-XR-aaa-protocol-radius-oper'],
'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper'
),
},
'Radius.Nodes.Node.Authentication.AuthenticationGroup.Authentication_' : {
'meta_info' : _MetaInfoClass('Radius.Nodes.Node.Authentication.AuthenticationGroup.Authentication_',
False,
[
_MetaInfoClassMember('access-accepts', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of access accepts
''',
'access_accepts',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('access-challenges', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of access challenges
''',
'access_challenges',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('access-rejects', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of access rejects
''',
'access_rejects',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('access-request-retransmits', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of retransmitted access requests
''',
'access_request_retransmits',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('access-requests', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of access requests
''',
'access_requests',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('access-timeouts', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of access packets timed out
''',
'access_timeouts',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('authen-incorrect-responses', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of incorrect authentication responses
''',
'authen_incorrect_responses',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('authen-response-time', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Average response time for authentication
requests
''',
'authen_response_time',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('authen-server-error-responses', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of server error authentication responses
''',
'authen_server_error_responses',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('authen-transaction-failure', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of failed authentication transactions
''',
'authen_transaction_failure',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('authen-transaction-successess', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of succeeded authentication transactions
''',
'authen_transaction_successess',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('authen-unexpected-responses', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of unexpected authentication responses
''',
'authen_unexpected_responses',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('bad-access-authenticators', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of bad access authenticators
''',
'bad_access_authenticators',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('bad-access-responses', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of bad access responses
''',
'bad_access_responses',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('dropped-access-responses', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of access responses dropped
''',
'dropped_access_responses',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('pending-access-requests', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of pending access requests
''',
'pending_access_requests',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('rtt', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Round trip time for authentication in
milliseconds
''',
'rtt',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('unknown-access-types', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of packets received with unknown type
from authentication server
''',
'unknown_access_types',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
],
'Cisco-IOS-XR-aaa-protocol-radius-oper',
'authentication',
_yang_ns._namespaces['Cisco-IOS-XR-aaa-protocol-radius-oper'],
'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper'
),
},
'Radius.Nodes.Node.Authentication.AuthenticationGroup' : {
'meta_info' : _MetaInfoClass('Radius.Nodes.Node.Authentication.AuthenticationGroup',
False,
[
_MetaInfoClassMember('authentication', REFERENCE_CLASS, 'Authentication_' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper', 'Radius.Nodes.Node.Authentication.AuthenticationGroup.Authentication_',
[], [],
''' Authentication data
''',
'authentication',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('family', ATTRIBUTE, 'str' , None, None,
[], [],
''' IP address Family
''',
'family',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('ip-address', ATTRIBUTE, 'str' , None, None,
[], [],
''' IP address buffer
''',
'ip_address',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('port', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Authentication port number
''',
'port',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('server-address', ATTRIBUTE, 'str' , None, None,
[], ['(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'],
''' IP address of RADIUS server
''',
'server_address',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
],
'Cisco-IOS-XR-aaa-protocol-radius-oper',
'authentication-group',
_yang_ns._namespaces['Cisco-IOS-XR-aaa-protocol-radius-oper'],
'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper'
),
},
'Radius.Nodes.Node.Authentication' : {
'meta_info' : _MetaInfoClass('Radius.Nodes.Node.Authentication',
False,
[
_MetaInfoClassMember('authentication-group', REFERENCE_LIST, 'AuthenticationGroup' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper', 'Radius.Nodes.Node.Authentication.AuthenticationGroup',
[], [],
''' List of authentication groups
''',
'authentication_group',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
],
'Cisco-IOS-XR-aaa-protocol-radius-oper',
'authentication',
_yang_ns._namespaces['Cisco-IOS-XR-aaa-protocol-radius-oper'],
'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper'
),
},
'Radius.Nodes.Node.Accounting.AccountingGroup.Accounting_' : {
'meta_info' : _MetaInfoClass('Radius.Nodes.Node.Accounting.AccountingGroup.Accounting_',
False,
[
_MetaInfoClassMember('acct-incorrect-responses', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of incorrect accounting responses
''',
'acct_incorrect_responses',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('acct-response-time', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Average response time for authentication
requests
''',
'acct_response_time',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('acct-server-error-responses', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of server error accounting responses
''',
'acct_server_error_responses',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('acct-transaction-failure', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of failed authentication transactions
''',
'acct_transaction_failure',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('acct-transaction-successess', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of succeeded authentication transactions
''',
'acct_transaction_successess',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('acct-unexpected-responses', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of unexpected accounting responses
''',
'acct_unexpected_responses',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('bad-authenticators', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of bad accounting authenticators
''',
'bad_authenticators',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('bad-responses', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of bad accounting responses
''',
'bad_responses',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('dropped-responses', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of accounting responses dropped
''',
'dropped_responses',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('pending-requests', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of pending accounting requests
''',
'pending_requests',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('requests', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of accounting requests
''',
'requests',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('responses', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of accounting responses
''',
'responses',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('retransmits', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of retransmitted accounting requests
''',
'retransmits',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('rtt', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Round trip time for accounting in milliseconds
''',
'rtt',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('timeouts', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of accounting packets timed-out
''',
'timeouts',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('unknown-packet-types', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of packets received with unknown type
from accounting server
''',
'unknown_packet_types',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
],
'Cisco-IOS-XR-aaa-protocol-radius-oper',
'accounting',
_yang_ns._namespaces['Cisco-IOS-XR-aaa-protocol-radius-oper'],
'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper'
),
},
'Radius.Nodes.Node.Accounting.AccountingGroup' : {
'meta_info' : _MetaInfoClass('Radius.Nodes.Node.Accounting.AccountingGroup',
False,
[
_MetaInfoClassMember('accounting', REFERENCE_CLASS, 'Accounting_' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper', 'Radius.Nodes.Node.Accounting.AccountingGroup.Accounting_',
[], [],
''' Accounting data
''',
'accounting',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('family', ATTRIBUTE, 'str' , None, None,
[], [],
''' IP address Family
''',
'family',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('ip-address', ATTRIBUTE, 'str' , None, None,
[], [],
''' IP address buffer
''',
'ip_address',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('port', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Accounting port number
''',
'port',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('server-address', ATTRIBUTE, 'str' , None, None,
[], ['(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'],
''' IP address of RADIUS server
''',
'server_address',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
],
'Cisco-IOS-XR-aaa-protocol-radius-oper',
'accounting-group',
_yang_ns._namespaces['Cisco-IOS-XR-aaa-protocol-radius-oper'],
'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper'
),
},
'Radius.Nodes.Node.Accounting' : {
'meta_info' : _MetaInfoClass('Radius.Nodes.Node.Accounting',
False,
[
_MetaInfoClassMember('accounting-group', REFERENCE_LIST, 'AccountingGroup' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper', 'Radius.Nodes.Node.Accounting.AccountingGroup',
[], [],
''' List of accounting groups
''',
'accounting_group',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
],
'Cisco-IOS-XR-aaa-protocol-radius-oper',
'accounting',
_yang_ns._namespaces['Cisco-IOS-XR-aaa-protocol-radius-oper'],
'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper'
),
},
'Radius.Nodes.Node.ServerGroups.ServerGroup.ServerGroup_.Accounting' : {
'meta_info' : _MetaInfoClass('Radius.Nodes.Node.ServerGroups.ServerGroup.ServerGroup_.Accounting',
False,
[
_MetaInfoClassMember('acct-incorrect-responses', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of incorrect accounting responses
''',
'acct_incorrect_responses',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('acct-response-time', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Average response time for authentication
requests
''',
'acct_response_time',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('acct-server-error-responses', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of server error accounting responses
''',
'acct_server_error_responses',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('acct-transaction-failure', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of failed authentication transactions
''',
'acct_transaction_failure',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('acct-transaction-successess', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of succeeded authentication transactions
''',
'acct_transaction_successess',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('acct-unexpected-responses', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of unexpected accounting responses
''',
'acct_unexpected_responses',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('bad-authenticators', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of bad accounting authenticators
''',
'bad_authenticators',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('bad-responses', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of bad accounting responses
''',
'bad_responses',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('dropped-responses', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of accounting responses dropped
''',
'dropped_responses',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('pending-requests', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of pending accounting requests
''',
'pending_requests',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('requests', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of accounting requests
''',
'requests',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('responses', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of accounting responses
''',
'responses',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('retransmits', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of retransmitted accounting requests
''',
'retransmits',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('rtt', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Round trip time for accounting in milliseconds
''',
'rtt',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('timeouts', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of accounting packets timed-out
''',
'timeouts',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('unknown-packet-types', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of packets received with unknown type
from accounting server
''',
'unknown_packet_types',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
],
'Cisco-IOS-XR-aaa-protocol-radius-oper',
'accounting',
_yang_ns._namespaces['Cisco-IOS-XR-aaa-protocol-radius-oper'],
'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper'
),
},
'Radius.Nodes.Node.ServerGroups.ServerGroup.ServerGroup_.Authentication' : {
'meta_info' : _MetaInfoClass('Radius.Nodes.Node.ServerGroups.ServerGroup.ServerGroup_.Authentication',
False,
[
_MetaInfoClassMember('access-accepts', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of access accepts
''',
'access_accepts',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('access-challenges', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of access challenges
''',
'access_challenges',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('access-rejects', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of access rejects
''',
'access_rejects',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('access-request-retransmits', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of retransmitted access requests
''',
'access_request_retransmits',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('access-requests', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of access requests
''',
'access_requests',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('access-timeouts', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of access packets timed out
''',
'access_timeouts',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('authen-incorrect-responses', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of incorrect authentication responses
''',
'authen_incorrect_responses',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('authen-response-time', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Average response time for authentication
requests
''',
'authen_response_time',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('authen-server-error-responses', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of server error authentication responses
''',
'authen_server_error_responses',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('authen-transaction-failure', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of failed authentication transactions
''',
'authen_transaction_failure',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('authen-transaction-successess', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of succeeded authentication transactions
''',
'authen_transaction_successess',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('authen-unexpected-responses', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of unexpected authentication responses
''',
'authen_unexpected_responses',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('bad-access-authenticators', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of bad access authenticators
''',
'bad_access_authenticators',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('bad-access-responses', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of bad access responses
''',
'bad_access_responses',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('dropped-access-responses', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of access responses dropped
''',
'dropped_access_responses',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('pending-access-requests', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of pending access requests
''',
'pending_access_requests',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('rtt', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Round trip time for authentication in
milliseconds
''',
'rtt',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('unknown-access-types', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of packets received with unknown type
from authentication server
''',
'unknown_access_types',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
],
'Cisco-IOS-XR-aaa-protocol-radius-oper',
'authentication',
_yang_ns._namespaces['Cisco-IOS-XR-aaa-protocol-radius-oper'],
'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper'
),
},
'Radius.Nodes.Node.ServerGroups.ServerGroup.ServerGroup_.Authorization' : {
'meta_info' : _MetaInfoClass('Radius.Nodes.Node.ServerGroups.ServerGroup.ServerGroup_.Authorization',
False,
[
_MetaInfoClassMember('author-incorrect-responses', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of incorrect authorization responses
''',
'author_incorrect_responses',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('author-request-timeouts', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of access packets timed out
''',
'author_request_timeouts',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('author-requests', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of access requests
''',
'author_requests',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('author-response-time', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Average response time for authorization requests
''',
'author_response_time',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('author-server-error-responses', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of server error authorization responses
''',
'author_server_error_responses',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('author-transaction-failure', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of failed authorization transactions
''',
'author_transaction_failure',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('author-transaction-successess', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of succeeded authorization transactions
''',
'author_transaction_successess',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('author-unexpected-responses', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of unexpected authorization responses
''',
'author_unexpected_responses',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
],
'Cisco-IOS-XR-aaa-protocol-radius-oper',
'authorization',
_yang_ns._namespaces['Cisco-IOS-XR-aaa-protocol-radius-oper'],
'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper'
),
},
'Radius.Nodes.Node.ServerGroups.ServerGroup.ServerGroup_' : {
'meta_info' : _MetaInfoClass('Radius.Nodes.Node.ServerGroups.ServerGroup.ServerGroup_',
False,
[
_MetaInfoClassMember('accounting', REFERENCE_CLASS, 'Accounting' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper', 'Radius.Nodes.Node.ServerGroups.ServerGroup.ServerGroup_.Accounting',
[], [],
''' Accounting data
''',
'accounting',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('accounting-port', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Accounting port
''',
'accounting_port',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('authentication', REFERENCE_CLASS, 'Authentication' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper', 'Radius.Nodes.Node.ServerGroups.ServerGroup.ServerGroup_.Authentication',
[], [],
''' Authentication data
''',
'authentication',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('authentication-port', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Authentication port
''',
'authentication_port',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('authorization', REFERENCE_CLASS, 'Authorization' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper', 'Radius.Nodes.Node.ServerGroups.ServerGroup.ServerGroup_.Authorization',
[], [],
''' Authorization data
''',
'authorization',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('family', ATTRIBUTE, 'str' , None, None,
[], [],
''' IP address Family
''',
'family',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('ip-address', ATTRIBUTE, 'str' , None, None,
[], [],
''' IP address buffer
''',
'ip_address',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('is-private', ATTRIBUTE, 'bool' , None, None,
[], [],
''' True if private
''',
'is_private',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('server-address', ATTRIBUTE, 'str' , None, None,
[], ['(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'],
''' Server address
''',
'server_address',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
],
'Cisco-IOS-XR-aaa-protocol-radius-oper',
'server-group',
_yang_ns._namespaces['Cisco-IOS-XR-aaa-protocol-radius-oper'],
'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper'
),
},
'Radius.Nodes.Node.ServerGroups.ServerGroup' : {
'meta_info' : _MetaInfoClass('Radius.Nodes.Node.ServerGroups.ServerGroup',
False,
[
_MetaInfoClassMember('server-group-name', ATTRIBUTE, 'str' , None, None,
[], ['[\\w\\-\\.:,_@#%$\\+=\\|;]+'],
''' Group name
''',
'server_group_name',
'Cisco-IOS-XR-aaa-protocol-radius-oper', True),
_MetaInfoClassMember('dead-time', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Dead time in minutes
''',
'dead_time',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('groups', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of groups
''',
'groups',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('server-group', REFERENCE_LIST, 'ServerGroup_' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper', 'Radius.Nodes.Node.ServerGroups.ServerGroup.ServerGroup_',
[], [],
''' Server groups
''',
'server_group',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('servers', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Number of servers
''',
'servers',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('vrf-name', ATTRIBUTE, 'str' , None, None,
[], [],
''' VRF name
''',
'vrf_name',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
],
'Cisco-IOS-XR-aaa-protocol-radius-oper',
'server-group',
_yang_ns._namespaces['Cisco-IOS-XR-aaa-protocol-radius-oper'],
'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper'
),
},
'Radius.Nodes.Node.ServerGroups' : {
'meta_info' : _MetaInfoClass('Radius.Nodes.Node.ServerGroups',
False,
[
_MetaInfoClassMember('server-group', REFERENCE_LIST, 'ServerGroup' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper', 'Radius.Nodes.Node.ServerGroups.ServerGroup',
[], [],
''' RADIUS server group data
''',
'server_group',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
],
'Cisco-IOS-XR-aaa-protocol-radius-oper',
'server-groups',
_yang_ns._namespaces['Cisco-IOS-XR-aaa-protocol-radius-oper'],
'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper'
),
},
'Radius.Nodes.Node.DynamicAuthorization' : {
'meta_info' : _MetaInfoClass('Radius.Nodes.Node.DynamicAuthorization',
False,
[
_MetaInfoClassMember('disconnected-invalid-requests', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Invalid disconnected requests
''',
'disconnected_invalid_requests',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('invalid-coa-requests', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Invalid change of authorization requests
''',
'invalid_coa_requests',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
],
'Cisco-IOS-XR-aaa-protocol-radius-oper',
'dynamic-authorization',
_yang_ns._namespaces['Cisco-IOS-XR-aaa-protocol-radius-oper'],
'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper'
),
},
'Radius.Nodes.Node' : {
'meta_info' : _MetaInfoClass('Radius.Nodes.Node',
False,
[
_MetaInfoClassMember('node-name', ATTRIBUTE, 'str' , None, None,
[], ['([a-zA-Z0-9_]*\\d+/){1,2}([a-zA-Z0-9_]*\\d+)'],
''' Node name
''',
'node_name',
'Cisco-IOS-XR-aaa-protocol-radius-oper', True),
_MetaInfoClassMember('accounting', REFERENCE_CLASS, 'Accounting' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper', 'Radius.Nodes.Node.Accounting',
[], [],
''' RADIUS accounting data
''',
'accounting',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('authentication', REFERENCE_CLASS, 'Authentication' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper', 'Radius.Nodes.Node.Authentication',
[], [],
''' RADIUS authentication data
''',
'authentication',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('client', REFERENCE_CLASS, 'Client' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper', 'Radius.Nodes.Node.Client',
[], [],
''' RADIUS client data
''',
'client',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('dead-criteria', REFERENCE_CLASS, 'DeadCriteria' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper', 'Radius.Nodes.Node.DeadCriteria',
[], [],
''' RADIUS dead criteria information
''',
'dead_criteria',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('dynamic-authorization', REFERENCE_CLASS, 'DynamicAuthorization' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper', 'Radius.Nodes.Node.DynamicAuthorization',
[], [],
''' Dynamic authorization data
''',
'dynamic_authorization',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
_MetaInfoClassMember('server-groups', REFERENCE_CLASS, 'ServerGroups' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper', 'Radius.Nodes.Node.ServerGroups',
[], [],
''' RADIUS server group table
''',
'server_groups',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
],
'Cisco-IOS-XR-aaa-protocol-radius-oper',
'node',
_yang_ns._namespaces['Cisco-IOS-XR-aaa-protocol-radius-oper'],
'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper'
),
},
'Radius.Nodes' : {
'meta_info' : _MetaInfoClass('Radius.Nodes',
False,
[
_MetaInfoClassMember('node', REFERENCE_LIST, 'Node' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper', 'Radius.Nodes.Node',
[], [],
''' RADIUS operational data for a particular node
''',
'node',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
],
'Cisco-IOS-XR-aaa-protocol-radius-oper',
'nodes',
_yang_ns._namespaces['Cisco-IOS-XR-aaa-protocol-radius-oper'],
'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper'
),
},
'Radius' : {
'meta_info' : _MetaInfoClass('Radius',
False,
[
_MetaInfoClassMember('nodes', REFERENCE_CLASS, 'Nodes' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper', 'Radius.Nodes',
[], [],
''' Contains all the nodes
''',
'nodes',
'Cisco-IOS-XR-aaa-protocol-radius-oper', False),
],
'Cisco-IOS-XR-aaa-protocol-radius-oper',
'radius',
_yang_ns._namespaces['Cisco-IOS-XR-aaa-protocol-radius-oper'],
'ydk.models.cisco_ios_xr.Cisco_IOS_XR_aaa_protocol_radius_oper'
),
},
}
_meta_table['Radius.Nodes.Node.DeadCriteria.Hosts.Host.Time']['meta_info'].parent =_meta_table['Radius.Nodes.Node.DeadCriteria.Hosts.Host']['meta_info']
_meta_table['Radius.Nodes.Node.DeadCriteria.Hosts.Host.Tries']['meta_info'].parent =_meta_table['Radius.Nodes.Node.DeadCriteria.Hosts.Host']['meta_info']
_meta_table['Radius.Nodes.Node.DeadCriteria.Hosts.Host']['meta_info'].parent =_meta_table['Radius.Nodes.Node.DeadCriteria.Hosts']['meta_info']
_meta_table['Radius.Nodes.Node.DeadCriteria.Hosts']['meta_info'].parent =_meta_table['Radius.Nodes.Node.DeadCriteria']['meta_info']
_meta_table['Radius.Nodes.Node.Authentication.AuthenticationGroup.Authentication_']['meta_info'].parent =_meta_table['Radius.Nodes.Node.Authentication.AuthenticationGroup']['meta_info']
_meta_table['Radius.Nodes.Node.Authentication.AuthenticationGroup']['meta_info'].parent =_meta_table['Radius.Nodes.Node.Authentication']['meta_info']
_meta_table['Radius.Nodes.Node.Accounting.AccountingGroup.Accounting_']['meta_info'].parent =_meta_table['Radius.Nodes.Node.Accounting.AccountingGroup']['meta_info']
_meta_table['Radius.Nodes.Node.Accounting.AccountingGroup']['meta_info'].parent =_meta_table['Radius.Nodes.Node.Accounting']['meta_info']
_meta_table['Radius.Nodes.Node.ServerGroups.ServerGroup.ServerGroup_.Accounting']['meta_info'].parent =_meta_table['Radius.Nodes.Node.ServerGroups.ServerGroup.ServerGroup_']['meta_info']
_meta_table['Radius.Nodes.Node.ServerGroups.ServerGroup.ServerGroup_.Authentication']['meta_info'].parent =_meta_table['Radius.Nodes.Node.ServerGroups.ServerGroup.ServerGroup_']['meta_info']
_meta_table['Radius.Nodes.Node.ServerGroups.ServerGroup.ServerGroup_.Authorization']['meta_info'].parent =_meta_table['Radius.Nodes.Node.ServerGroups.ServerGroup.ServerGroup_']['meta_info']
_meta_table['Radius.Nodes.Node.ServerGroups.ServerGroup.ServerGroup_']['meta_info'].parent =_meta_table['Radius.Nodes.Node.ServerGroups.ServerGroup']['meta_info']
_meta_table['Radius.Nodes.Node.ServerGroups.ServerGroup']['meta_info'].parent =_meta_table['Radius.Nodes.Node.ServerGroups']['meta_info']
_meta_table['Radius.Nodes.Node.Client']['meta_info'].parent =_meta_table['Radius.Nodes.Node']['meta_info']
_meta_table['Radius.Nodes.Node.DeadCriteria']['meta_info'].parent =_meta_table['Radius.Nodes.Node']['meta_info']
_meta_table['Radius.Nodes.Node.Authentication']['meta_info'].parent =_meta_table['Radius.Nodes.Node']['meta_info']
_meta_table['Radius.Nodes.Node.Accounting']['meta_info'].parent =_meta_table['Radius.Nodes.Node']['meta_info']
_meta_table['Radius.Nodes.Node.ServerGroups']['meta_info'].parent =_meta_table['Radius.Nodes.Node']['meta_info']
_meta_table['Radius.Nodes.Node.DynamicAuthorization']['meta_info'].parent =_meta_table['Radius.Nodes.Node']['meta_info']
_meta_table['Radius.Nodes.Node']['meta_info'].parent =_meta_table['Radius.Nodes']['meta_info']
_meta_table['Radius.Nodes']['meta_info'].parent =_meta_table['Radius']['meta_info']
| 53.358595 | 231 | 0.515277 | 5,083 | 57,734 | 5.666732 | 0.034625 | 0.07249 | 0.090612 | 0.098389 | 0.917789 | 0.913311 | 0.906228 | 0.894286 | 0.867553 | 0.813845 | 0 | 0.032149 | 0.34271 | 57,734 | 1,081 | 232 | 53.407956 | 0.726889 | 0 | 0 | 0.638321 | 0 | 0.006459 | 0.433057 | 0.332986 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.008611 | 0 | 0.008611 | 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 |
f75faca0bb67da741648769b11320056a8c8ac7e | 64 | py | Python | tests/conftest.py | brianbruggeman/rl | 6dd8a53da07697ffc87e62aa397be7b3b08f0aa0 | [
"MIT"
] | 3 | 2018-01-31T19:55:28.000Z | 2019-05-30T20:21:18.000Z | tests/conftest.py | brianbruggeman/rl | 6dd8a53da07697ffc87e62aa397be7b3b08f0aa0 | [
"MIT"
] | 12 | 2019-01-18T16:16:19.000Z | 2019-06-14T03:26:34.000Z | tests/conftest.py | brianbruggeman/rl | 6dd8a53da07697ffc87e62aa397be7b3b08f0aa0 | [
"MIT"
] | 1 | 2019-01-18T16:20:15.000Z | 2019-01-18T16:20:15.000Z | from decorators import * # noqa
from fixtures import * # noqa
| 21.333333 | 32 | 0.71875 | 8 | 64 | 5.75 | 0.625 | 0.434783 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.21875 | 64 | 2 | 33 | 32 | 0.92 | 0.140625 | 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 |
f765edf32f3af65bd03ea30a2095f3d10eaa13d6 | 24,199 | py | Python | fuel_plugin_builder/tests/test_validator_v3.py | naumvd95/plugin-stub-fuel | 348a20fd2df5959e1dc8f156447d1c8e8059be39 | [
"Apache-2.0"
] | null | null | null | fuel_plugin_builder/tests/test_validator_v3.py | naumvd95/plugin-stub-fuel | 348a20fd2df5959e1dc8f156447d1c8e8059be39 | [
"Apache-2.0"
] | null | null | null | fuel_plugin_builder/tests/test_validator_v3.py | naumvd95/plugin-stub-fuel | 348a20fd2df5959e1dc8f156447d1c8e8059be39 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2015 Mirantis, Inc.
#
# 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 mock
from fuel_plugin_builder import errors
from fuel_plugin_builder.tests.base import LegacyBaseValidatorTestCase
from fuel_plugin_builder.validators.schemas import SchemaV3
from fuel_plugin_builder.validators.validator_v3 import ValidatorV3
class TestValidatorV3(LegacyBaseValidatorTestCase):
__test__ = True
validator_class = ValidatorV3
schema_class = SchemaV3
def test_validate(self):
mocked_methods = [
'check_schemas',
'check_tasks',
'check_releases_paths',
'check_compatibility',
'check_deployment_tasks'
]
self.check_validate(mocked_methods)
@mock.patch('fuel_plugin_builder.validators.validator_v3.utils')
def test_check_tasks_schema_validation_failed(self, utils_mock, *args):
data_sets = [
{
'type': 'shell',
'parameters': {
'timeout': 3
},
'stage': 'post_deployment',
'role': '*'
},
{
'type': 'puppet',
'parameters': {
'timeout': 3
},
'stage': 'post_deployment',
'role': '*'
},
{
'type': 'puppet',
'parameters': {
'timeout': 3,
'cmd': 'xx'
},
'stage': 'post_deployment',
'role': '*'
},
{
'type': 'shell',
'parameters': {
'timeout': 3,
'puppet_manifest': 'xx',
'puppet_modules': 'yy',
},
'stage': 'post_deployment',
'role': '*'
},
{
'type': 'puppet',
'parameters': {
'timeout': 3,
'puppet_manifest': 'xx',
'puppet_modules': 'yy',
'retries': 'asd',
},
'stage': 'post_deployment',
'role': '*'
},
{
'type': 'puppet',
'parameters': {
'timeout': 3,
'puppet_manifest': 'xx',
'puppet_modules': '',
'retries': 1,
},
'stage': 'pre_deployment',
'role': '*'
},
{
'type': 'puppet',
'parameters': {
'timeout': 3,
'puppet_manifest': '',
'puppet_modules': 'yy',
'retries': 1,
},
'stage': 'pre_deployment',
'role': '*'
}
]
for data in data_sets:
utils_mock.parse_yaml.return_value = [data]
self.assertRaises(errors.ValidationError,
self.validator.check_deployment_tasks)
@mock.patch('fuel_plugin_builder.validators.validator_v3.utils')
def test_check_tasks_schema_validation_passed(self, utils_mock, *args):
data_sets = [
[
{
'type': 'shell',
'parameters': {
'timeout': 3,
'cmd': 'xx'
},
'stage': 'post_deployment',
'role': '*'
},
],
[
{
'type': 'shell',
'parameters': {
'timeout': 3,
'cmd': 'xx'
},
'stage': 'post_deployment',
'role': '*'
},
{
'type': 'puppet',
'parameters': {
'timeout': 3,
'puppet_manifest': 'xx',
'puppet_modules': 'xxx'
},
'stage': 'post_deployment',
'role': '*'
},
],
[
{
'type': 'shell',
'parameters': {
'timeout': 3,
'cmd': 'reboot'
},
'stage': 'post_deployment',
'role': '*'
},
{
'type': 'shell',
'parameters': {
'timeout': 3,
'cmd': 'xx'
},
'stage': 'post_deployment',
'role': '*'
},
{
'type': 'puppet',
'parameters': {
'timeout': 3,
'puppet_manifest': 'xx',
'puppet_modules': 'xxx'
},
'stage': 'post_deployment',
'role': '*'
}
],
[
{
'type': 'shell',
'parameters': {
'timeout': 3,
'cmd': 'reboot'
},
'stage': 'post_deployment',
'role': '*'
},
{
'type': 'shell',
'parameters': {
'timeout': 3,
'puppet_manifest': 'xx',
'puppet_modules': 'yy',
'cmd': 'reboot'
},
'stage': 'post_deployment',
'role': '*'
},
{
'type': 'puppet',
'parameters': {
'timeout': 3,
'retries': 10,
'puppet_manifest': 'xx',
'puppet_modules': 'xxx'
},
'stage': 'post_deployment',
'role': '*'
},
{
'type': 'puppet',
'parameters': {
'timeout': 3,
'retries': 10,
'puppet_manifest': 'xx',
'puppet_modules': 'xxx'
},
'stage': 'post_deployment',
'role': 'master'
},
]
]
for data in data_sets:
utils_mock.parse_yaml.return_value = data
self.validator.check_deployment_tasks()
@mock.patch('fuel_plugin_builder.validators.validator_v3.utils')
@mock.patch('fuel_plugin_builder.validators.base.utils.exists')
def test_check_tasks_no_file(self, exists_mock, utils_mock, *args):
mocked_methods = ['validate_schema']
self.mock_methods(self.validator, mocked_methods)
exists_mock.return_value = False
self.validator.check_deployment_tasks()
self.assertFalse(self.validator.validate_schema.called)
def test_check_schemas(self):
mocked_methods = [
'check_env_config_attrs',
'check_deployment_tasks_schema',
'check_network_roles_schema',
'check_node_roles_schema',
'check_volumes_schema'
]
self.mock_methods(self.validator, mocked_methods)
self.mock_methods(self.validator, ['validate_file_by_schema'])
self.validator.check_schemas()
self.assertEqual(
[mock.call(self.schema_class().metadata_schema,
self.validator.meta_path),
mock.call(self.schema_class().tasks_schema,
self.validator.tasks_path, allow_not_exists=True)],
self.validator.validate_file_by_schema.call_args_list)
for method in mocked_methods:
getattr(self.validator, method).assert_called_once_with()
@mock.patch('fuel_plugin_builder.validators.base.utils')
def test_check_compatibility_failed(self, utils_mock):
fuel_version_checks = (
(['6.0', '6.1', '7.0']),
(['6.1', '7.0']),
)
for fuel_version in fuel_version_checks:
mock_data = {
'fuel_version': fuel_version,
'package_version': '3.0.0'}
err_msg = 'Current plugin format 3.0.0 is not compatible with ' \
'{0} Fuel release. Fuel version must be 7.0 or higher.' \
' Please remove {0} version from metadata.yaml file or' \
' downgrade package_version.'.format(fuel_version[0])
self.check_raised_exception(
utils_mock, mock_data,
err_msg, self.validator.check_compatibility)
@mock.patch('fuel_plugin_builder.validators.base.utils')
def test_check_compatibility_passed(self, utils_mock):
utils_mock.parse_yaml.return_value = {
'fuel_version': ['7.0'],
'package_version': '3.0.0'}
self.validator.check_compatibility()
@mock.patch('fuel_plugin_builder.validators.validator_v3.utils')
def test_role_attribute_is_required_for_deployment_task_types(
self, utils_mock, *args):
deployment_task_types = [
'group', 'shell', 'copy_files', 'sync', 'upload_file']
for task_type in deployment_task_types:
mock_data = [{
'id': 'plugin_name',
'type': task_type}]
err_msg = "File '/tmp/plugin_path/deployment_tasks.yaml', " \
"'role' is a required property, value path '0'"
self.check_raised_exception(
utils_mock, mock_data,
err_msg, self.validator.check_deployment_tasks)
@mock.patch('fuel_plugin_builder.validators.validator_v3.utils')
def test_parameters_attribute_is_required_for_deployment_task_types(
self, utils_mock, *args):
deployment_task_types = ['copy_files', 'sync', 'upload_file']
for task_type in deployment_task_types:
mock_data = [{
'id': 'plugin_name',
'type': task_type,
'role': '*'}]
err_msg = "File '/tmp/plugin_path/deployment_tasks.yaml', " \
"'parameters' is a required property, value path '0'"
self.check_raised_exception(
utils_mock, mock_data,
err_msg, self.validator.check_deployment_tasks)
@mock.patch('fuel_plugin_builder.validators.validator_v3.utils')
def test_files_attribute_is_required_for_copy_files_task_type(
self, utils_mock, *args):
mock_data = [{
'id': 'plugin_name',
'type': 'copy_files',
'role': '*',
'parameters': {}}]
err_msg = "File '/tmp/plugin_path/deployment_tasks.yaml', " \
"'files' is a required property, value path '0 " \
"-> parameters'"
self.check_raised_exception(
utils_mock, mock_data,
err_msg, self.validator.check_deployment_tasks)
@mock.patch('fuel_plugin_builder.validators.validator_v3.utils')
def test_files_should_contain_at_least_one_item_for_copy_files_task_type(
self, utils_mock, *args):
mock_data = [{
'id': 'plugin_name',
'type': 'copy_files',
'role': '*',
'parameters': {'files': []}}]
err_msg = "File '/tmp/plugin_path/deployment_tasks.yaml', " \
"\[\] is too short, value path '0 -> parameters -> files'"
self.check_raised_exception(
utils_mock, mock_data,
err_msg, self.validator.check_deployment_tasks)
@mock.patch('fuel_plugin_builder.validators.validator_v3.utils')
def test_src_and_dst_attributes_are_required_for_copy_files_task_type(
self, utils_mock, *args):
data_to_check = [
([{
'id': 'plugin_name',
'type': 'copy_files',
'role': '*',
'parameters': {
'files': [{}]}
}], 'src'),
([{
'id': 'plugin_name',
'type': 'copy_files',
'role': '*',
'parameters': {
'files': [{'src': 'some_source'}]}
}], 'dst')]
for mock_data, key in data_to_check:
err_msg = "File '/tmp/plugin_path/deployment_tasks.yaml', " \
"'{0}' is a required property, value path '0 " \
"-> parameters -> files -> 0'".format(key)
self.check_raised_exception(
utils_mock, mock_data,
err_msg, self.validator.check_deployment_tasks)
@mock.patch('fuel_plugin_builder.validators.validator_v3.utils')
def test_src_and_dst_attributes_are_required_for_sync_task_type(
self, utils_mock, *args):
data_to_check = [
([{
'id': 'plugin_name',
'type': 'sync',
'role': '*',
'parameters': {}
}], 'src'),
([{
'id': 'plugin_name',
'type': 'sync',
'role': '*',
'parameters': {'src': 'some_source'}
}], 'dst')]
for mock_data, key in data_to_check:
err_msg = "File '/tmp/plugin_path/deployment_tasks.yaml', " \
"'{0}' is a required property, value path '0 " \
"-> parameters'".format(key)
self.check_raised_exception(
utils_mock, mock_data,
err_msg, self.validator.check_deployment_tasks)
@mock.patch('fuel_plugin_builder.validators.validator_v3.utils')
def test_path_and_data_attributes_are_required_for_upload_file_task_type(
self, utils_mock, *args):
data_to_check = [
([{
'id': 'plugin_name',
'type': 'upload_file',
'role': '*',
'parameters': {}
}], 'path'),
([{
'id': 'plugin_name',
'type': 'upload_file',
'role': '*',
'parameters': {'path': 'some_path'}
}], 'data')]
for mock_data, key in data_to_check:
err_msg = "File '/tmp/plugin_path/deployment_tasks.yaml', " \
"'{0}' is a required property, value path '0 " \
"-> parameters'".format(key)
self.check_raised_exception(
utils_mock, mock_data,
err_msg, self.validator.check_deployment_tasks)
@mock.patch('fuel_plugin_builder.validators.validator_v3.utils')
def test_check_group_type_deployment_task_does_not_contain_manifests(
self, utils_mock, *args):
utils_mock.parse_yaml.return_value = [{
'id': 'plugin_name',
'type': 'group',
'role': ['plugin_name'],
'parameters': {}}]
self.validator.check_deployment_tasks()
@mock.patch('fuel_plugin_builder.validators.validator_v3.utils')
def test_check_deployment_task_role_failed(self, utils_mock, *args):
mock_data = [{
'id': 'plugin_name',
'type': 'group',
'role': ['plugin_n@me']}]
err_msg = "File '/tmp/plugin_path/deployment_tasks.yaml'," \
" 'plugin_n@me' does not match"
self.check_raised_exception(
utils_mock, mock_data,
err_msg, self.validator.check_deployment_tasks)
@mock.patch('fuel_plugin_builder.validators.validator_v3.utils')
def test_check_deployment_task_role(self, utils_mock, *args):
utils_mock.parse_yaml.return_value = [
{'id': 'plugin_name', 'type': 'group', 'role': []},
{'id': 'plugin_name', 'type': 'group', 'role': ['a', 'b']},
{'id': 'plugin_name', 'type': 'group', 'role': '*'},
{'id': 'plugin_name', 'type': 'puppet', 'role': []},
{'id': 'plugin_name', 'type': 'puppet', 'role': ['a', 'b']},
{'id': 'plugin_name', 'type': 'puppet', 'role': '*'},
{'id': 'plugin_name', 'type': 'shell', 'role': []},
{'id': 'plugin_name', 'type': 'shell', 'role': ['a', 'b']},
{'id': 'plugin_name', 'type': 'shell', 'role': '*'},
{'id': 'plugin_name', 'type': 'skipped'},
{'id': 'plugin_name', 'type': 'stage'},
{'id': 'plugin_name', 'type': 'reboot'},
{
'id': 'plugin_name',
'type': 'copy_files',
'role': '*',
'parameters': {
'files': [
{'src': 'some_source', 'dst': 'some_destination'}]}
},
{
'id': 'plugin_name',
'type': 'sync',
'role': '*',
'parameters': {
'src': 'some_source', 'dst': 'some_destination'}
},
{
'id': 'plugin_name',
'type': 'upload_file',
'role': '*',
'parameters': {
'path': 'some_path', 'data': 'some_data'}
},
]
self.validator.check_deployment_tasks()
@mock.patch('fuel_plugin_builder.validators.base.utils')
def test_check_deployment_task_id(self, utils_mock):
mock_data = [{
'id': 'plugin_n@me',
'type': 'group',
'role': ['plugin_name']}]
err_msg = "File '/tmp/plugin_path/deployment_tasks.yaml'," \
" 'plugin_n@me' does not match"
self.check_raised_exception(
utils_mock, mock_data,
err_msg, self.validator.check_deployment_tasks_schema)
@mock.patch('fuel_plugin_builder.validators.base.utils')
def test_check_deployment_task_valid_dependencies(self, utils_mock):
utils_mock.parse_yaml.return_value = [{
'id': 'plugin_name',
'type': 'group',
'role': ['plugin_name'],
'requires': ['dependency_1', 'dependency_2']}]
self.validator.check_deployment_tasks_schema()
@mock.patch('fuel_plugin_builder.validators.base.utils')
def test_check_deployment_task_invalid_dependencies(self, utils_mock):
mock_data = [{
'id': 'plugin_name',
'type': 'group',
'role': ['plugin_name'],
'requires': ['dependency_1', 'dependency_#']}]
err_msg = "File '/tmp/plugin_path/deployment_tasks.yaml'," \
" 'dependency_#' does not match"
self.check_raised_exception(
utils_mock, mock_data,
err_msg, self.validator.check_deployment_tasks_schema)
@mock.patch('fuel_plugin_builder.validators.base.utils')
def test_check_node_roles_have_correct_name(self, utils_mock):
mock_data = {
'plug$n_n@me': {
'name': 'test_plugin',
'description': 'test plugin'}}
err_msg = "File '/tmp/plugin_path/node_roles.yaml', Additional" \
" properties are not allowed"
self.check_raised_exception(
utils_mock, mock_data,
err_msg, self.validator.check_node_roles_schema)
@mock.patch('fuel_plugin_builder.validators.base.utils')
def test_check_node_role_should_has_name(self, utils_mock):
mock_data = {
'plugin_name': {
'description': 'test plugin'}}
err_msg = "File '/tmp/plugin_path/node_roles.yaml', 'name' is" \
" a required property, value path 'plugin_name'"
self.check_raised_exception(
utils_mock, mock_data,
err_msg, self.validator.check_node_roles_schema)
@mock.patch('fuel_plugin_builder.validators.base.utils')
def test_check_node_role_conflicts(self, utils_mock):
utils_mock.parse_yaml.return_value = {
'plugin_name': {
'name': 'test_plugin',
'description': 'test plugin',
'conflicts': '*'}}
self.validator.check_node_roles_schema()
utils_mock.parse_yaml.return_value = {
'plugin_name': {
'name': 'test_plugin',
'description': 'test plugin',
'conflicts': ['some_role']}}
self.validator.check_node_roles_schema()
@mock.patch('fuel_plugin_builder.validators.base.utils')
def test_check_valid_volumes_roles_mapping_name(self, utils_mock):
utils_mock.parse_yaml.return_value = {
'volumes_roles_mapping': {
'mapping_name': [{'allocate_size': 'min', 'id': 'test'}]},
'volumes': []}
self.validator.check_volumes_schema()
@mock.patch('fuel_plugin_builder.validators.base.utils')
def test_check_invalid_volumes_roles_mapping_name(self, utils_mock):
mock_data = {
'volumes_roles_mapping': {
'm@pping_name': [{'allocate_size': 'min', 'id': 'test'}]},
'volumes': []}
err_msg = "File '/tmp/plugin_path/volumes.yaml', Additional" \
" properties are not allowed"
self.check_raised_exception(
utils_mock, mock_data,
err_msg, self.validator.check_volumes_schema)
@mock.patch('fuel_plugin_builder.validators.base.utils')
def test_check_valid_network_roles(self, utils_mock):
utils_mock.parse_yaml.return_value = [{
"id": "example_net_role",
"default_mapping": "public",
"properties": {
"subnet": True,
"gateway": False,
"vip": [{
"name": "vip_name",
"namespace": "haproxy"}]}}]
self.validator.check_network_roles_schema()
@mock.patch('fuel_plugin_builder.validators.base.utils')
def test_check_network_roles_vip_have_invalid_name(self, utils_mock):
mock_data = [{
"id": "example_net_role",
"default_mapping": "public",
"properties": {
"subnet": True,
"gateway": False,
"vip": [{
"name": "vip@name",
"namespace": "haproxy"}]}}]
err_msg = "File '/tmp/plugin_path/network_roles.yaml'," \
" 'vip@name' does not match"
self.check_raised_exception(
utils_mock, mock_data,
err_msg, self.validator.check_network_roles_schema)
@mock.patch('fuel_plugin_builder.validators.base.utils')
def test_check_network_roles_vip_have_invalid_namespace(self, utils_mock):
mock_data = [{
"id": "example_net_role",
"default_mapping": "public",
"properties": {
"subnet": True,
"gateway": False,
"vip": [{
"name": "vip_name",
"namespace": "hap roxy"}]}}]
err_msg = "File '/tmp/plugin_path/network_roles.yaml'," \
" 'hap roxy' does not match"
self.check_raised_exception(
utils_mock, mock_data,
err_msg, self.validator.check_network_roles_schema)
| 37.929467 | 79 | 0.493739 | 2,224 | 24,199 | 5.042266 | 0.107464 | 0.042536 | 0.046995 | 0.069823 | 0.805957 | 0.784823 | 0.756733 | 0.73863 | 0.720885 | 0.676387 | 0 | 0.006077 | 0.381173 | 24,199 | 637 | 80 | 37.989011 | 0.742771 | 0.02496 | 0 | 0.635088 | 0 | 0 | 0.264292 | 0.084521 | 0 | 0 | 0 | 0 | 0.007018 | 1 | 0.049123 | false | 0.003509 | 0.008772 | 0 | 0.064912 | 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 |
f772fcdac28470e763d79429a04717ea1247f18b | 125 | py | Python | boost/std_pair.py | rimmartin/cctbx_project | 644090f9432d9afc22cfb542fc3ab78ca8e15e5d | [
"BSD-3-Clause-LBNL"
] | null | null | null | boost/std_pair.py | rimmartin/cctbx_project | 644090f9432d9afc22cfb542fc3ab78ca8e15e5d | [
"BSD-3-Clause-LBNL"
] | null | null | null | boost/std_pair.py | rimmartin/cctbx_project | 644090f9432d9afc22cfb542fc3ab78ca8e15e5d | [
"BSD-3-Clause-LBNL"
] | null | null | null | from __future__ import division
import boost.python
ext = boost.python.import_ext("std_pair_ext")
from std_pair_ext import *
| 25 | 45 | 0.824 | 20 | 125 | 4.7 | 0.45 | 0.234043 | 0.212766 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.104 | 125 | 4 | 46 | 31.25 | 0.839286 | 0 | 0 | 0 | 0 | 0 | 0.096 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 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 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
f7763032e4c5d0fa1eb69117ba9e1b7fea1c78f2 | 403 | py | Python | src/secml/adv/attacks/evasion/__init__.py | Cinofix/secml | 431373e65d8cfe2cb7cf042ce1a6c9519ea5a14a | [
"Apache-2.0"
] | null | null | null | src/secml/adv/attacks/evasion/__init__.py | Cinofix/secml | 431373e65d8cfe2cb7cf042ce1a6c9519ea5a14a | [
"Apache-2.0"
] | null | null | null | src/secml/adv/attacks/evasion/__init__.py | Cinofix/secml | 431373e65d8cfe2cb7cf042ce1a6c9519ea5a14a | [
"Apache-2.0"
] | null | null | null | from .c_attack_evasion import CAttackEvasion
from .c_attack_evasion_pgd_ls import CAttackEvasionPGDLS
from .c_attack_evasion_pgd_exp import CAttackEvasionPGDExp
from .c_attack_evasion_pgd import CAttackEvasionPGD
try:
import cleverhans
except ImportError:
pass # cleverhans is an extra component
else:
from .cleverhans.c_attack_evasion_cleverhans import \
CAttackEvasionCleverhans
| 31 | 58 | 0.833747 | 49 | 403 | 6.530612 | 0.469388 | 0.109375 | 0.21875 | 0.225 | 0.196875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.138958 | 403 | 12 | 59 | 33.583333 | 0.92219 | 0.079404 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.090909 | 0.636364 | 0 | 0.636364 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 6 |
f789a6eaedb30b3637a46d5937ad234d07b7d953 | 191 | py | Python | python/dgl/utils/__init__.py | ketyi/dgl | a1b859c29b63a673c148d13231a49504740e0e01 | [
"Apache-2.0"
] | 1 | 2022-02-23T01:35:37.000Z | 2022-02-23T01:35:37.000Z | python/dgl/utils/__init__.py | ketyi/dgl | a1b859c29b63a673c148d13231a49504740e0e01 | [
"Apache-2.0"
] | null | null | null | python/dgl/utils/__init__.py | ketyi/dgl | a1b859c29b63a673c148d13231a49504740e0e01 | [
"Apache-2.0"
] | null | null | null | """Internal utilities."""
from .internal import *
from .data import *
from .checks import *
from .shared_mem import *
from .filter import *
from .exception import *
from .pin_memory import *
| 21.222222 | 25 | 0.732984 | 25 | 191 | 5.52 | 0.48 | 0.434783 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.157068 | 191 | 8 | 26 | 23.875 | 0.857143 | 0.099476 | 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 |
e39a90d051c7a0ae6d4a7114407db5ad06127c85 | 117 | py | Python | django_joblog/tests/__init__.py | defgsus/django-joblog | 88467f951d7ebc586c69e421cab39e4caa395cca | [
"MIT"
] | null | null | null | django_joblog/tests/__init__.py | defgsus/django-joblog | 88467f951d7ebc586c69e421cab39e4caa395cca | [
"MIT"
] | null | null | null | django_joblog/tests/__init__.py | defgsus/django-joblog | 88467f951d7ebc586c69e421cab39e4caa395cca | [
"MIT"
] | null | null | null | from .t010_basic import *
from .t020_db_updates import *
from .t030_parallel import *
from .t100_regression import *
| 23.4 | 30 | 0.794872 | 17 | 117 | 5.176471 | 0.647059 | 0.340909 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.118812 | 0.136752 | 117 | 4 | 31 | 29.25 | 0.752475 | 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 |
e3a51a27848770ebc8852c46c73d43162fe0b17f | 15,532 | py | Python | tests/customer/get_customer.py | EazyCollectServices/EazyCollectSDK-Python | bafe26e1386e1d45571e921baaa2ca6e54f78ff7 | [
"Apache-2.0",
"MIT"
] | null | null | null | tests/customer/get_customer.py | EazyCollectServices/EazyCollectSDK-Python | bafe26e1386e1d45571e921baaa2ca6e54f78ff7 | [
"Apache-2.0",
"MIT"
] | 1 | 2022-03-28T14:35:53.000Z | 2022-03-28T14:35:53.000Z | tests/customer/get_customer.py | EazyCollectServices/EazyCollectSDK-Python | bafe26e1386e1d45571e921baaa2ca6e54f78ff7 | [
"Apache-2.0",
"MIT"
] | 1 | 2020-04-13T10:39:50.000Z | 2020-04-13T10:39:50.000Z | from ... import main
from json import loads as json
from json import JSONDecodeError
from datetime import datetime
from ...settings import Settings as s
import unittest
class Test(unittest.TestCase):
def setUp(self):
self.eazy = main.EazySDK().get
def test_searching_more_than_one_parameter_narrows_search(self):
req = self.eazy.customers(
email='test@email.com', customer_reference='test-000001',
surname='Test', account_holder_name='Mr Test Test'
)
req_json = json(req)
for record in req_json['Customers']:
email = record['Email']
ref = record['CustomerRef']
surname = record['Surname']
account_holder_name = record['BankDetail']['AccountHolderName']
self.assertEqual(email, 'test@email.com')
self.assertEqual(ref, 'test-000001')
self.assertEqual(surname, 'Test')
self.assertEqual(account_holder_name, 'Mr Test Test')
self.assertEqual(len(req_json), 1)
def test_searching_more_than_one_parameter_incorrect(self):
req = self.eazy.customers(
email='test@email.com', customer_reference='not_a_reference',
surname='Test', account_holder_name='Mr Test Test'
)
try:
json(req)
self.fail('You should not see this.')
except JSONDecodeError:
self.assertEqual(1, 1)
def test_search_email_full_email(self):
req = self.eazy.customers(email='test@email.com')
req_json = json(req)
for record in req_json['Customers']:
email = record['Email']
self.assertIn('test@email.com', email)
self.assertEqual(len(req_json), 1)
def test_search_full_title(self):
# This will fail. This is a limitation of the API.
req = self.eazy.customers(title='Mx')
req_json = json(req)
for record in req_json['Customers']:
title = record['Title']
self.assertIn('Mx', title)
self.assertGreaterEqual(len(req_json), 1)
def test_search_partial_title(self):
# This will fail. This is a limitation of the API.
req = self.eazy.customers(title='Maste')
req_json = json(req)
for record in req_json['Customers']:
title = record['Title']
self.assertIn('Maste', title)
self.assertEqual(len(req_json), 1)
def test_search_search_from_full_date(self):
date_format = '%Y-%m-%d'
req_date = datetime.strptime('2019-01-01', date_format).date()
req = self.eazy.customers(search_from=req_date)
self.assertNotIn('No customers could be found', req)
req_json = json(req)
for record in req_json['Customers']:
date_record = record['DateAdded'][0:10]
date = datetime.strptime(date_record, date_format).date()
self.assertGreaterEqual(date, req_date)
def test_search_search_from_month(self):
date_format = '%Y-%m'
req_date = datetime.strptime('2019-01', date_format).date()
req = self.eazy.customers(search_from=req_date)
self.assertNotIn('No customers could be found', req)
req_json = json(req)
for record in req_json['Customers']:
date_record = record['DateAdded'][0:7]
date = datetime.strptime(date_record, date_format).date()
self.assertGreaterEqual(date, req_date)
def test_search_search_from_year(self):
date_format = '%Y'
req_date = datetime.strptime('2019', date_format).date()
req = self.eazy.customers(search_from=req_date)
self.assertNotIn('No customers could be found', req)
req_json = json(req)
for record in req_json['Customers']:
date_record = record['DateAdded'][0:4]
date = datetime.strptime(date_record, date_format).date()
self.assertGreaterEqual(date, req_date)
def test_search_date_of_birth_full_date(self):
# This will fail. This is a limitation of the API.
date_format = '%Y-%m-%d'
req_date = datetime.strptime('1990-06-29', date_format).date()
req = self.eazy.customers(date_of_birth=req_date)
self.assertNotIn('No customers could be found', req)
req_json = json(req)
for record in req_json['Customers']:
date_record = record['DateOfBirth'][0:10]
self.assertIsNotNone(date_record)
date = datetime.strptime(date_record, date_format).date()
self.assertGreaterEqual(date, req_date)
def test_search_date_of_birth_from_month(self):
# This will fail. This is a limitation of the API.
date_format = '%Y-%m'
req_date = datetime.strptime('1990-06', date_format).date()
req = self.eazy.customers(date_of_birth=req_date)
self.assertNotIn('No customers could be found', req)
req_json = json(req)
for record in req_json['Customers']:
date_record = record['DateOfBirth'][0:7]
self.assertIsNotNone(date_record)
date = datetime.strptime(date_record, date_format).date()
self.assertGreaterEqual(date, req_date)
def test_search_date_of_birth_from_year(self):
# This will fail. This is a limitation of the API.
date_format = '%Y'
req_date = datetime.strptime('1990', date_format).date()
req = self.eazy.customers(date_of_birth=req_date)
self.assertNotIn('No customers could be found', req)
req_json = json(req)
for record in req_json['Customers']:
date_record = record['DateOfBirth'][0:4]
self.assertIsNotNone(date_record)
date = datetime.strptime(date_record, date_format).date()
self.assertGreaterEqual(date, req_date)
def test_search_customer_ref_full_reference_number(self):
req = self.eazy.customers(customer_reference='test-000002')
req_json = json(req)
for record in req_json['Customers']:
customer_ref = record['CustomerRef']
self.assertEqual(customer_ref, 'test-000002')
self.assertEqual(len(req_json), 1)
def test_search_customer_ref_partial_ref_number(self):
# This will fail. This is a limitation of the API.
req = self.eazy.customers(customer_reference='test')
try:
req_json = json(req)
for record in req_json['Customers']:
customer_ref = record['CustomerRef']
self.assertIn('test', customer_ref)
self.assertGreaterEqual(len(req_json), 1)
except JSONDecodeError:
self.fail('json was not returned, no customers were returned.')
def test_search_customer_first_name_full_name(self):
req = self.eazy.customers(first_name='test')
try:
req_json = json(req)
for record in req_json['Customers']:
first_name = record['FirstName']
self.assertIn('test', first_name.lower())
self.assertGreaterEqual(len(req_json), 1)
except JSONDecodeError:
self.fail('json was not returned, no customers were returned.')
def test_search_customer_first_name_partial_name(self):
req = self.eazy.customers(first_name='te')
try:
req_json = json(req)
for record in req_json['Customers']:
first_name = record['FirstName']
self.assertIn('te', first_name.lower())
self.assertGreaterEqual(len(req_json), 1)
except JSONDecodeError:
self.fail('json was not returned, no customers were returned.')
def test_search_customer_surname_full_name(self):
req = self.eazy.customers(surname='test')
try:
req_json = json(req)
for record in req_json['Customers']:
first_name = record['Surname']
self.assertIn('test', first_name.lower())
self.assertGreaterEqual(len(req_json), 1)
except JSONDecodeError:
self.fail('json was not returned, no customers were returned.')
def test_search_customer_surname_partial_name(self):
req = self.eazy.customers(surname='te')
try:
req_json = json(req)
for record in req_json['Customers']:
first_name = record['Surname']
self.assertIn('te', first_name.lower())
self.assertGreaterEqual(len(req_json), 1)
except JSONDecodeError:
self.fail('json was not returned, no customers were returned.')
def test_search_customer_company_name_full(self):
req = self.eazy.customers(company_name='SDK Test Cliemt')
try:
req_json = json(req)
for record in req_json['Customers']:
first_name = record['CompanyName']
self.assertEqual('sdk test cliemt', first_name.lower())
self.assertGreaterEqual(len(req_json), 1)
except JSONDecodeError:
self.fail('json was not returned, no customers were returned.')
def test_search_customer_company_name_partial(self):
req = self.eazy.customers(company_name='test')
try:
req_json = json(req)
for record in req_json['Customers']:
first_name = record['CompanyName']
print(first_name)
self.assertIn('te', first_name.lower())
self.assertGreaterEqual(len(req_json), 1)
except JSONDecodeError:
self.fail('json was not returned, no customers were returned.')
def test_search_customer_post_code_full_post_code(self):
req = self.eazy.customers(post_code='GL52 2NF')
try:
req_json = json(req)
for record in req_json['Customers']:
post_code = record['AddressDetail']['PostCode']
self.assertEqual('gl52 2nf', post_code.lower())
self.assertGreaterEqual(len(req_json), 1)
except JSONDecodeError:
self.fail('json was not returned, no customers were returned.')
def test_search_customer_post_code_partial_post_code(self):
req = self.eazy.customers(post_code='GL52')
try:
req_json = json(req)
for record in req_json['Customers']:
post_code = record['AddressDetail']['PostCode']
self.assertIn('gl52', post_code.lower())
self.assertGreaterEqual(len(req_json), 1)
except JSONDecodeError:
self.fail('json was not returned, no customers were returned.')
def test_search_customer_account_number_full_number(self):
req = self.eazy.customers(account_number='45678912')
try:
req_json = json(req)
for record in req_json['Customers']:
account_number = record['BankDetail']['AccountNumber']
self.assertEqual('45678912', account_number.lower())
self.assertEqual(len(req_json), 1)
except JSONDecodeError:
self.fail('json was not returned, no customers were returned.')
def test_search_customer_sort_code_full_number(self):
req = self.eazy.customers(sort_code='147852')
try:
req_json = json(req)
for record in req_json['Customers']:
sort_code = record['BankDetail']['BankSortCode']
self.assertEqual('147852', sort_code.lower())
self.assertGreaterEqual(len(req_json), 1)
except JSONDecodeError:
self.fail('json was not returned, no customers were returned.')
def test_search_customer_account_holder_name_full_name(self):
req = self.eazy.customers(account_holder_name='Mr Test Client')
try:
req_json = json(req)
for record in req_json['Customers']:
account_name = record['BankDetail']['AccountHolderName']
self.assertEqual('mr test client', account_name.lower())
self.assertGreaterEqual(len(req_json), 1)
except JSONDecodeError:
self.fail('json was not returned, no customers were returned.')
def test_search_customer_home_phone_full_number(self):
req = self.eazy.customers(home_phone='01242147852')
try:
req_json = json(req)
for record in req_json['Customers']:
phone_number = record['HomePhoneNumber']
self.assertEqual('01242147852', phone_number)
self.assertEqual(len(req_json), 1)
except JSONDecodeError:
self.fail('json was not returned, no customers were returned.')
def test_search_customer_home_phone_partial_number(self):
req = self.eazy.customers(home_phone='01242')
try:
req_json = json(req)
for record in req_json['Customers']:
phone_number = record['HomePhoneNumber']
self.assertIn('01242', phone_number)
self.assertGreaterEqual(len(req_json), 1)
except JSONDecodeError:
self.fail('json was not returned, no customers were returned.')
def test_search_customer_mobile_phone_full_number(self):
req = self.eazy.customers(mobile_phone='07393549789')
try:
req_json = json(req)
for record in req_json['Customers']:
phone_number = record['MobilePhoneNumber']
self.assertEqual('07393549789', phone_number)
self.assertEqual(len(req_json), 1)
except JSONDecodeError:
self.fail('json was not returned, no customers were returned.')
def test_search_customer_mobile_phone_partial_number(self):
req = self.eazy.customers(mobile_phone='07393')
try:
req_json = json(req)
for record in req_json['Customers']:
phone_number = record['HomePhoneNumber']
self.assertIn('01242', phone_number)
self.assertGreaterEqual(len(req_json), 1)
except JSONDecodeError:
self.fail('json was not returned, no customers were returned.')
def test_search_customer_work_phone_full_number(self):
req = self.eazy.customers(work_phone='01452365478')
try:
req_json = json(req)
for record in req_json['Customers']:
phone_number = record['WorkPhoneNumber']
self.assertEqual('01452365478', phone_number)
self.assertEqual(len(req_json), 1)
except JSONDecodeError:
self.fail('json was not returned, no customers were returned.')
def test_search_customer_work_phone_partial_number(self):
req = self.eazy.customers(work_phone='01452')
try:
req_json = json(req)
for record in req_json['Customers']:
phone_number = record['WorkPhoneNumber']
self.assertIn('01452', phone_number)
self.assertGreaterEqual(len(req_json), 1)
except JSONDecodeError:
self.fail('json was not returned, no customers were returned.')
def test_warning_enabled_warning_thrown(self):
s.warnings['customer_search'] = True
with self.assertWarns(UserWarning):
self.eazy.customers()
def test_warning_disabled_warning_not_thrown(self):
s.warnings['customer_search'] = False
try:
with self.assertWarns(UserWarning):
self.eazy.customers()
except AssertionError:
pass
| 42.321526 | 75 | 0.624517 | 1,834 | 15,532 | 5.077426 | 0.081243 | 0.060889 | 0.058419 | 0.064433 | 0.866731 | 0.859858 | 0.8314 | 0.775558 | 0.71671 | 0.693299 | 0 | 0.020643 | 0.273307 | 15,532 | 366 | 76 | 42.437158 | 0.804377 | 0.018864 | 0 | 0.644654 | 0 | 0 | 0.150407 | 0 | 0 | 0 | 0 | 0 | 0.213836 | 1 | 0.103774 | false | 0.003145 | 0.018868 | 0 | 0.125786 | 0.003145 | 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 |
e3e5f2e7e03093dab152587a007bdff311aec6d5 | 260,262 | py | Python | instances/passenger_demand/pas-20210422-1717-int18e/29.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-int18e/29.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-int18e/29.py | LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure | bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11 | [
"BSD-3-Clause"
] | null | null | null |
"""
PASSENGERS
"""
numPassengers = 34171
passenger_arriving = (
(11, 2, 10, 10, 2, 7, 5, 3, 1, 1, 1, 2, 0, 11, 5, 5, 9, 6, 7, 6, 1, 4, 3, 1, 1, 0), # 0
(11, 10, 14, 7, 6, 1, 5, 3, 3, 1, 0, 2, 0, 9, 6, 7, 9, 7, 4, 3, 0, 2, 2, 0, 4, 0), # 1
(7, 14, 9, 11, 9, 5, 5, 6, 7, 1, 1, 3, 0, 9, 7, 7, 7, 8, 7, 2, 2, 4, 7, 2, 1, 0), # 2
(15, 9, 4, 10, 9, 3, 5, 4, 1, 3, 0, 0, 0, 8, 11, 10, 7, 9, 6, 9, 3, 3, 3, 1, 0, 0), # 3
(13, 11, 8, 9, 9, 3, 7, 1, 5, 6, 0, 1, 0, 11, 9, 8, 4, 5, 6, 6, 2, 3, 2, 4, 0, 0), # 4
(9, 11, 11, 8, 9, 4, 6, 4, 5, 3, 1, 2, 0, 10, 13, 7, 8, 5, 6, 5, 4, 3, 5, 3, 2, 0), # 5
(11, 15, 8, 10, 12, 5, 6, 9, 6, 4, 1, 0, 0, 15, 14, 5, 10, 11, 4, 7, 2, 7, 3, 2, 0, 0), # 6
(9, 22, 5, 11, 11, 1, 1, 5, 7, 2, 1, 1, 0, 9, 13, 12, 6, 11, 10, 6, 2, 11, 6, 5, 1, 0), # 7
(19, 13, 13, 12, 9, 5, 3, 6, 9, 3, 0, 3, 0, 17, 13, 10, 9, 7, 4, 1, 4, 4, 5, 6, 2, 0), # 8
(9, 14, 15, 23, 12, 9, 8, 8, 8, 3, 3, 0, 0, 13, 9, 14, 7, 15, 8, 8, 2, 4, 7, 3, 3, 0), # 9
(7, 14, 10, 16, 14, 0, 4, 7, 9, 3, 1, 1, 0, 18, 11, 6, 8, 15, 12, 8, 2, 8, 7, 2, 0, 0), # 10
(13, 10, 18, 12, 19, 9, 2, 8, 13, 1, 3, 2, 0, 21, 19, 14, 4, 20, 12, 5, 6, 6, 5, 1, 2, 0), # 11
(8, 17, 15, 16, 12, 6, 3, 8, 3, 2, 0, 2, 0, 12, 13, 10, 8, 3, 9, 8, 4, 6, 5, 0, 2, 0), # 12
(24, 19, 11, 9, 5, 5, 9, 3, 4, 2, 1, 0, 0, 11, 11, 10, 9, 7, 11, 2, 3, 10, 5, 1, 3, 0), # 13
(11, 20, 12, 20, 13, 4, 5, 5, 2, 2, 4, 1, 0, 9, 28, 17, 11, 12, 9, 1, 3, 9, 7, 3, 2, 0), # 14
(20, 11, 17, 19, 23, 8, 4, 5, 6, 2, 3, 0, 0, 19, 15, 18, 10, 15, 10, 11, 5, 5, 6, 3, 2, 0), # 15
(14, 14, 12, 18, 12, 5, 8, 5, 6, 1, 1, 1, 0, 14, 15, 20, 6, 17, 2, 3, 7, 7, 9, 1, 0, 0), # 16
(14, 19, 17, 16, 15, 3, 10, 5, 4, 0, 5, 2, 0, 17, 19, 6, 16, 19, 8, 9, 4, 9, 3, 4, 2, 0), # 17
(24, 16, 18, 23, 17, 5, 6, 8, 8, 4, 4, 1, 0, 17, 18, 11, 12, 18, 7, 9, 7, 6, 4, 4, 1, 0), # 18
(21, 20, 8, 15, 18, 4, 10, 7, 6, 5, 1, 2, 0, 19, 14, 18, 12, 13, 7, 7, 4, 7, 7, 7, 0, 0), # 19
(18, 19, 18, 16, 12, 4, 3, 6, 1, 7, 2, 8, 0, 25, 16, 12, 14, 17, 4, 7, 4, 7, 5, 3, 1, 0), # 20
(18, 20, 10, 19, 17, 6, 8, 10, 8, 4, 0, 0, 0, 27, 12, 13, 13, 17, 10, 4, 4, 7, 8, 2, 1, 0), # 21
(17, 18, 15, 15, 14, 5, 10, 7, 9, 3, 4, 2, 0, 26, 15, 11, 9, 17, 6, 8, 3, 9, 5, 4, 1, 0), # 22
(19, 23, 14, 15, 12, 1, 8, 5, 5, 4, 2, 2, 0, 23, 17, 16, 14, 13, 12, 3, 4, 5, 4, 2, 1, 0), # 23
(17, 21, 17, 19, 17, 7, 9, 5, 9, 8, 2, 0, 0, 25, 23, 16, 13, 15, 12, 3, 5, 8, 3, 3, 1, 0), # 24
(15, 18, 16, 21, 13, 4, 7, 6, 6, 4, 0, 1, 0, 17, 18, 12, 12, 21, 13, 3, 5, 5, 4, 1, 3, 0), # 25
(21, 25, 13, 10, 13, 7, 9, 8, 7, 4, 2, 0, 0, 23, 13, 10, 13, 10, 14, 8, 7, 8, 5, 1, 1, 0), # 26
(18, 25, 19, 20, 11, 3, 4, 11, 11, 4, 1, 1, 0, 21, 19, 12, 14, 11, 13, 4, 4, 8, 3, 6, 3, 0), # 27
(18, 22, 14, 26, 13, 11, 8, 6, 5, 4, 1, 1, 0, 19, 15, 13, 9, 12, 7, 9, 3, 5, 6, 4, 1, 0), # 28
(25, 11, 27, 12, 16, 8, 9, 9, 9, 1, 1, 0, 0, 17, 13, 14, 8, 14, 6, 3, 2, 6, 8, 4, 1, 0), # 29
(20, 19, 14, 20, 11, 6, 9, 6, 11, 2, 3, 1, 0, 15, 13, 7, 11, 10, 12, 7, 3, 6, 10, 2, 1, 0), # 30
(15, 22, 18, 19, 13, 10, 10, 7, 5, 4, 2, 2, 0, 17, 21, 5, 14, 12, 9, 9, 7, 6, 5, 0, 1, 0), # 31
(25, 15, 18, 25, 6, 7, 7, 5, 4, 3, 6, 2, 0, 29, 15, 10, 12, 22, 7, 10, 4, 11, 2, 2, 1, 0), # 32
(8, 15, 10, 11, 9, 10, 4, 8, 5, 4, 0, 1, 0, 19, 14, 19, 15, 17, 5, 7, 3, 5, 11, 4, 2, 0), # 33
(16, 22, 14, 16, 13, 10, 3, 7, 9, 3, 1, 2, 0, 22, 12, 6, 14, 10, 8, 5, 3, 8, 7, 2, 2, 0), # 34
(13, 13, 13, 16, 14, 7, 6, 5, 13, 2, 2, 3, 0, 17, 18, 14, 14, 7, 5, 5, 5, 10, 4, 3, 2, 0), # 35
(18, 23, 13, 22, 17, 4, 8, 8, 10, 3, 2, 0, 0, 19, 11, 15, 7, 21, 9, 6, 4, 12, 4, 5, 1, 0), # 36
(24, 20, 16, 11, 10, 7, 7, 4, 6, 4, 3, 0, 0, 19, 15, 18, 9, 15, 10, 6, 2, 6, 6, 1, 1, 0), # 37
(16, 26, 22, 13, 18, 5, 5, 6, 5, 3, 2, 2, 0, 14, 12, 13, 11, 18, 9, 5, 4, 2, 8, 4, 0, 0), # 38
(13, 16, 22, 21, 8, 7, 11, 8, 7, 4, 1, 2, 0, 18, 12, 11, 8, 21, 12, 2, 4, 7, 3, 1, 1, 0), # 39
(19, 20, 12, 12, 11, 8, 7, 5, 7, 1, 4, 0, 0, 19, 16, 10, 9, 16, 11, 6, 10, 7, 5, 1, 0, 0), # 40
(19, 13, 12, 14, 12, 8, 9, 7, 5, 2, 1, 1, 0, 25, 15, 21, 8, 7, 4, 10, 9, 7, 8, 2, 0, 0), # 41
(12, 19, 5, 16, 13, 9, 6, 10, 6, 1, 2, 4, 0, 18, 14, 7, 9, 24, 6, 7, 5, 1, 3, 3, 1, 0), # 42
(14, 32, 8, 19, 12, 10, 5, 6, 3, 1, 1, 4, 0, 20, 16, 10, 10, 12, 4, 9, 6, 1, 2, 2, 1, 0), # 43
(19, 17, 23, 28, 15, 6, 8, 4, 3, 3, 4, 2, 0, 21, 9, 15, 3, 15, 7, 3, 6, 11, 6, 1, 3, 0), # 44
(11, 17, 15, 15, 10, 3, 3, 5, 8, 1, 1, 3, 0, 15, 15, 15, 10, 14, 10, 7, 4, 10, 5, 5, 4, 0), # 45
(18, 21, 13, 17, 15, 3, 7, 7, 8, 4, 1, 4, 0, 22, 15, 18, 7, 17, 9, 5, 3, 7, 8, 4, 4, 0), # 46
(12, 20, 10, 22, 17, 7, 10, 3, 12, 5, 2, 1, 0, 17, 18, 9, 10, 13, 17, 9, 2, 3, 6, 4, 1, 0), # 47
(18, 19, 20, 27, 13, 9, 5, 4, 7, 5, 1, 1, 0, 19, 21, 15, 12, 8, 11, 7, 5, 11, 5, 0, 3, 0), # 48
(18, 13, 13, 9, 9, 7, 9, 12, 7, 5, 2, 1, 0, 10, 19, 13, 12, 20, 9, 3, 3, 10, 1, 2, 2, 0), # 49
(20, 15, 12, 20, 11, 13, 3, 4, 5, 2, 1, 4, 0, 23, 13, 12, 11, 16, 9, 11, 9, 6, 5, 5, 0, 0), # 50
(14, 16, 10, 15, 10, 12, 7, 7, 4, 2, 2, 2, 0, 23, 19, 10, 15, 12, 14, 5, 3, 1, 4, 2, 0, 0), # 51
(22, 18, 16, 13, 7, 8, 7, 8, 7, 5, 2, 1, 0, 17, 14, 15, 7, 17, 11, 5, 4, 6, 3, 2, 4, 0), # 52
(13, 16, 14, 14, 10, 2, 6, 3, 6, 5, 1, 4, 0, 16, 13, 6, 7, 15, 8, 7, 5, 7, 4, 7, 1, 0), # 53
(21, 16, 15, 13, 15, 6, 2, 3, 5, 3, 1, 4, 0, 25, 15, 12, 11, 18, 11, 12, 5, 7, 3, 5, 2, 0), # 54
(19, 18, 14, 8, 9, 6, 10, 7, 6, 3, 8, 1, 0, 17, 12, 18, 7, 14, 9, 8, 4, 6, 5, 1, 2, 0), # 55
(26, 15, 15, 19, 12, 3, 7, 5, 7, 3, 4, 0, 0, 10, 13, 10, 12, 19, 8, 5, 5, 10, 8, 5, 2, 0), # 56
(17, 12, 13, 17, 16, 7, 8, 5, 10, 3, 1, 2, 0, 16, 13, 11, 8, 14, 3, 4, 8, 2, 6, 3, 1, 0), # 57
(17, 9, 12, 23, 10, 5, 6, 5, 7, 3, 0, 2, 0, 27, 21, 15, 12, 13, 10, 4, 5, 3, 8, 3, 2, 0), # 58
(17, 16, 15, 25, 18, 5, 9, 6, 12, 5, 2, 1, 0, 22, 17, 13, 9, 8, 7, 7, 5, 4, 4, 2, 1, 0), # 59
(17, 13, 12, 13, 15, 8, 7, 2, 7, 1, 3, 1, 0, 9, 15, 20, 10, 15, 6, 7, 10, 7, 5, 2, 3, 0), # 60
(19, 20, 16, 20, 12, 12, 5, 5, 8, 4, 1, 2, 0, 16, 17, 11, 6, 13, 6, 16, 6, 5, 4, 3, 3, 0), # 61
(15, 20, 10, 15, 18, 5, 12, 6, 8, 1, 3, 2, 0, 19, 18, 8, 11, 15, 5, 2, 5, 5, 7, 3, 1, 0), # 62
(10, 13, 13, 13, 18, 6, 7, 4, 7, 6, 2, 1, 0, 23, 15, 13, 8, 16, 7, 4, 3, 3, 5, 2, 2, 0), # 63
(24, 15, 19, 9, 8, 3, 5, 2, 5, 1, 2, 1, 0, 11, 16, 23, 11, 10, 12, 6, 4, 4, 3, 2, 0, 0), # 64
(20, 19, 12, 12, 12, 6, 5, 2, 12, 3, 2, 1, 0, 17, 10, 12, 15, 16, 15, 3, 4, 8, 7, 2, 2, 0), # 65
(22, 14, 14, 16, 16, 5, 3, 4, 9, 3, 1, 2, 0, 24, 16, 17, 11, 10, 7, 7, 1, 8, 14, 4, 1, 0), # 66
(17, 18, 20, 17, 15, 10, 9, 8, 5, 4, 2, 0, 0, 15, 22, 13, 16, 19, 5, 4, 3, 10, 3, 1, 2, 0), # 67
(20, 14, 11, 20, 11, 4, 7, 6, 7, 2, 1, 2, 0, 20, 15, 20, 13, 16, 5, 7, 2, 9, 9, 5, 2, 0), # 68
(23, 27, 14, 19, 22, 8, 2, 5, 3, 5, 2, 0, 0, 14, 15, 11, 9, 14, 4, 5, 4, 6, 3, 4, 2, 0), # 69
(13, 18, 16, 17, 13, 7, 4, 6, 6, 2, 4, 0, 0, 15, 14, 13, 13, 15, 11, 9, 4, 8, 5, 3, 1, 0), # 70
(12, 30, 15, 15, 15, 9, 10, 7, 7, 4, 3, 2, 0, 25, 19, 15, 12, 12, 6, 4, 7, 3, 5, 0, 1, 0), # 71
(13, 11, 13, 13, 9, 11, 8, 4, 5, 3, 1, 0, 0, 24, 11, 19, 6, 16, 5, 5, 4, 10, 2, 5, 1, 0), # 72
(16, 20, 12, 16, 11, 9, 3, 7, 7, 3, 3, 1, 0, 12, 15, 16, 7, 18, 5, 7, 6, 7, 8, 3, 2, 0), # 73
(12, 12, 17, 22, 6, 2, 8, 5, 5, 5, 1, 0, 0, 11, 10, 12, 16, 9, 9, 2, 7, 9, 6, 3, 1, 0), # 74
(22, 16, 18, 12, 17, 9, 5, 5, 4, 2, 2, 0, 0, 19, 13, 9, 10, 17, 13, 9, 2, 1, 1, 7, 3, 0), # 75
(13, 17, 7, 15, 15, 7, 6, 4, 2, 3, 2, 1, 0, 15, 13, 6, 11, 16, 8, 3, 5, 10, 5, 3, 1, 0), # 76
(16, 13, 14, 10, 15, 9, 8, 4, 4, 2, 3, 1, 0, 21, 20, 10, 10, 14, 11, 10, 6, 9, 7, 2, 0, 0), # 77
(12, 11, 21, 20, 13, 9, 3, 7, 4, 1, 2, 2, 0, 14, 19, 15, 6, 12, 6, 5, 3, 6, 4, 3, 0, 0), # 78
(13, 13, 12, 18, 13, 7, 6, 2, 7, 2, 3, 3, 0, 22, 15, 11, 4, 16, 6, 3, 7, 8, 5, 4, 1, 0), # 79
(24, 10, 18, 18, 13, 4, 9, 9, 3, 2, 1, 1, 0, 21, 24, 12, 16, 8, 5, 9, 3, 11, 7, 1, 0, 0), # 80
(22, 15, 12, 12, 17, 7, 9, 4, 8, 4, 0, 0, 0, 22, 12, 10, 8, 14, 8, 12, 6, 6, 9, 5, 1, 0), # 81
(22, 18, 13, 21, 7, 6, 6, 3, 9, 4, 0, 1, 0, 14, 17, 11, 10, 12, 8, 11, 4, 4, 8, 3, 3, 0), # 82
(16, 14, 12, 12, 18, 9, 6, 5, 3, 3, 1, 0, 0, 22, 13, 11, 12, 19, 9, 5, 3, 7, 4, 4, 4, 0), # 83
(15, 7, 13, 18, 12, 6, 7, 6, 4, 7, 2, 0, 0, 19, 18, 11, 8, 11, 4, 7, 6, 9, 2, 2, 1, 0), # 84
(17, 10, 18, 20, 15, 3, 4, 6, 7, 3, 4, 1, 0, 17, 7, 15, 7, 17, 8, 4, 7, 8, 8, 4, 2, 0), # 85
(27, 21, 6, 13, 9, 3, 11, 5, 9, 7, 2, 0, 0, 11, 18, 13, 9, 12, 5, 8, 4, 4, 6, 7, 0, 0), # 86
(20, 17, 14, 17, 8, 12, 2, 6, 6, 2, 4, 3, 0, 20, 11, 7, 13, 22, 6, 5, 5, 10, 6, 0, 1, 0), # 87
(24, 11, 9, 19, 16, 10, 2, 2, 7, 4, 5, 1, 0, 15, 11, 12, 7, 6, 4, 2, 7, 3, 3, 4, 0, 0), # 88
(19, 13, 11, 17, 6, 5, 5, 7, 7, 6, 4, 0, 0, 19, 20, 9, 12, 16, 6, 4, 4, 8, 7, 3, 0, 0), # 89
(11, 22, 12, 15, 15, 11, 4, 5, 6, 1, 4, 0, 0, 18, 13, 7, 7, 15, 7, 7, 1, 5, 8, 1, 1, 0), # 90
(16, 7, 14, 12, 15, 5, 8, 1, 3, 4, 2, 0, 0, 17, 11, 7, 13, 17, 9, 9, 3, 10, 7, 5, 3, 0), # 91
(9, 14, 7, 16, 7, 3, 9, 8, 10, 1, 0, 1, 0, 20, 14, 13, 11, 13, 12, 8, 8, 5, 4, 1, 2, 0), # 92
(14, 18, 18, 10, 15, 4, 4, 8, 9, 2, 1, 2, 0, 18, 10, 19, 6, 17, 4, 4, 1, 9, 7, 1, 1, 0), # 93
(22, 16, 10, 18, 13, 6, 6, 4, 4, 2, 1, 1, 0, 14, 12, 13, 10, 18, 5, 6, 8, 9, 6, 3, 1, 0), # 94
(19, 16, 15, 10, 12, 6, 5, 8, 6, 6, 4, 2, 0, 19, 18, 11, 11, 10, 6, 3, 2, 7, 6, 7, 0, 0), # 95
(14, 16, 17, 10, 10, 6, 4, 3, 6, 2, 3, 4, 0, 15, 13, 10, 7, 8, 9, 3, 6, 9, 6, 1, 0, 0), # 96
(17, 11, 16, 19, 19, 10, 4, 5, 4, 6, 0, 2, 0, 24, 14, 10, 11, 14, 9, 5, 1, 14, 9, 3, 1, 0), # 97
(23, 6, 16, 5, 10, 4, 8, 7, 8, 1, 2, 0, 0, 30, 17, 16, 6, 10, 5, 7, 3, 8, 9, 3, 2, 0), # 98
(21, 13, 9, 24, 15, 4, 7, 7, 6, 1, 1, 1, 0, 20, 16, 11, 7, 14, 13, 2, 5, 10, 3, 2, 1, 0), # 99
(22, 9, 12, 17, 16, 2, 4, 9, 5, 2, 3, 0, 0, 20, 16, 12, 11, 9, 8, 8, 4, 5, 5, 4, 1, 0), # 100
(18, 14, 13, 13, 11, 4, 14, 6, 5, 6, 2, 1, 0, 20, 20, 10, 13, 10, 3, 5, 5, 11, 4, 4, 4, 0), # 101
(19, 11, 16, 18, 10, 3, 7, 5, 9, 4, 2, 3, 0, 22, 10, 10, 7, 11, 6, 6, 2, 1, 1, 2, 0, 0), # 102
(10, 12, 17, 14, 12, 5, 3, 7, 8, 5, 2, 1, 0, 21, 14, 14, 5, 9, 6, 1, 3, 5, 4, 5, 1, 0), # 103
(26, 9, 14, 15, 10, 3, 5, 3, 8, 3, 1, 0, 0, 13, 17, 13, 7, 10, 4, 9, 6, 6, 4, 1, 2, 0), # 104
(23, 15, 5, 15, 8, 6, 5, 9, 8, 4, 2, 1, 0, 17, 12, 13, 3, 10, 4, 3, 4, 5, 0, 4, 2, 0), # 105
(21, 15, 14, 14, 8, 8, 6, 8, 6, 7, 0, 0, 0, 19, 17, 10, 12, 7, 4, 7, 3, 9, 6, 1, 2, 0), # 106
(12, 11, 12, 16, 4, 7, 7, 1, 5, 1, 1, 0, 0, 17, 9, 13, 11, 14, 6, 7, 7, 8, 3, 4, 1, 0), # 107
(13, 17, 12, 10, 7, 5, 7, 6, 5, 6, 4, 3, 0, 14, 18, 7, 7, 10, 5, 5, 3, 10, 4, 3, 0, 0), # 108
(19, 11, 14, 27, 15, 4, 9, 2, 8, 6, 0, 2, 0, 19, 9, 12, 10, 12, 6, 9, 4, 6, 6, 6, 2, 0), # 109
(17, 10, 18, 13, 13, 8, 7, 6, 7, 1, 4, 0, 0, 17, 11, 12, 7, 8, 5, 9, 3, 8, 2, 4, 0, 0), # 110
(12, 10, 20, 13, 9, 4, 8, 8, 6, 7, 2, 3, 0, 20, 19, 12, 8, 14, 3, 4, 8, 5, 7, 4, 1, 0), # 111
(15, 10, 13, 17, 15, 4, 9, 3, 11, 3, 3, 1, 0, 22, 11, 8, 10, 8, 4, 4, 7, 3, 4, 3, 1, 0), # 112
(10, 18, 18, 11, 16, 6, 3, 4, 6, 0, 3, 0, 0, 13, 9, 12, 9, 12, 7, 2, 6, 2, 8, 2, 0, 0), # 113
(16, 16, 15, 10, 10, 8, 11, 8, 4, 2, 0, 1, 0, 23, 12, 7, 10, 12, 4, 5, 5, 7, 2, 2, 1, 0), # 114
(20, 9, 13, 19, 11, 8, 3, 6, 7, 3, 3, 1, 0, 16, 17, 6, 3, 15, 8, 4, 3, 4, 5, 2, 0, 0), # 115
(24, 16, 14, 12, 13, 3, 12, 3, 2, 3, 0, 2, 0, 11, 11, 14, 5, 17, 8, 6, 4, 7, 4, 1, 2, 0), # 116
(10, 13, 19, 13, 14, 8, 5, 8, 2, 4, 1, 0, 0, 26, 12, 8, 8, 12, 2, 5, 5, 9, 2, 5, 0, 0), # 117
(12, 13, 12, 15, 17, 9, 8, 5, 2, 5, 1, 0, 0, 12, 13, 8, 8, 15, 5, 1, 4, 5, 9, 1, 3, 0), # 118
(15, 12, 13, 12, 8, 4, 6, 4, 8, 1, 2, 0, 0, 11, 16, 13, 14, 11, 10, 5, 6, 7, 2, 2, 0, 0), # 119
(21, 14, 13, 17, 12, 7, 9, 4, 6, 2, 2, 1, 0, 15, 8, 11, 10, 8, 7, 11, 5, 3, 10, 3, 0, 0), # 120
(17, 11, 11, 16, 13, 12, 6, 5, 6, 4, 3, 1, 0, 22, 15, 9, 3, 15, 5, 9, 7, 6, 5, 5, 1, 0), # 121
(11, 11, 9, 14, 10, 3, 9, 1, 7, 3, 0, 1, 0, 23, 12, 8, 12, 13, 8, 5, 4, 6, 6, 1, 0, 0), # 122
(12, 15, 21, 15, 17, 11, 2, 5, 5, 1, 0, 1, 0, 14, 13, 6, 9, 12, 8, 7, 3, 3, 7, 0, 1, 0), # 123
(16, 12, 14, 13, 8, 3, 7, 3, 5, 1, 2, 0, 0, 20, 14, 12, 5, 13, 9, 7, 1, 10, 6, 5, 3, 0), # 124
(17, 13, 11, 12, 16, 10, 7, 8, 7, 1, 0, 0, 0, 25, 9, 14, 9, 18, 5, 5, 2, 4, 6, 3, 1, 0), # 125
(14, 10, 9, 9, 10, 6, 5, 7, 7, 1, 2, 0, 0, 18, 11, 13, 5, 15, 7, 4, 4, 6, 3, 1, 1, 0), # 126
(10, 9, 14, 13, 15, 4, 2, 4, 6, 3, 0, 1, 0, 16, 6, 11, 6, 15, 10, 8, 4, 6, 6, 2, 2, 0), # 127
(15, 16, 11, 13, 16, 5, 1, 4, 4, 2, 2, 0, 0, 17, 19, 7, 3, 5, 7, 6, 5, 8, 4, 1, 1, 0), # 128
(21, 16, 10, 16, 17, 7, 6, 6, 6, 3, 3, 2, 0, 23, 8, 10, 9, 10, 4, 10, 3, 7, 3, 2, 1, 0), # 129
(18, 9, 13, 13, 9, 5, 5, 4, 7, 4, 2, 2, 0, 15, 15, 15, 9, 10, 4, 7, 5, 8, 1, 2, 0, 0), # 130
(20, 15, 13, 15, 9, 7, 3, 4, 4, 0, 5, 2, 0, 11, 11, 16, 7, 15, 4, 4, 6, 3, 5, 1, 1, 0), # 131
(15, 10, 11, 18, 11, 9, 7, 5, 3, 1, 3, 0, 0, 13, 16, 9, 8, 9, 9, 3, 3, 3, 4, 1, 0, 0), # 132
(14, 5, 12, 11, 13, 11, 6, 6, 4, 0, 1, 1, 0, 17, 17, 8, 7, 16, 5, 4, 1, 6, 9, 2, 3, 0), # 133
(13, 10, 13, 12, 22, 5, 7, 4, 8, 3, 1, 2, 0, 23, 9, 11, 6, 8, 6, 2, 9, 4, 2, 1, 1, 0), # 134
(11, 13, 12, 8, 7, 9, 6, 2, 9, 1, 2, 1, 0, 16, 14, 13, 5, 12, 3, 5, 1, 4, 4, 6, 0, 0), # 135
(20, 12, 8, 17, 10, 6, 3, 3, 8, 4, 3, 1, 0, 12, 14, 12, 8, 12, 5, 8, 5, 3, 7, 2, 0, 0), # 136
(14, 5, 12, 12, 14, 4, 9, 3, 6, 3, 3, 2, 0, 15, 11, 11, 8, 16, 8, 8, 6, 2, 5, 3, 0, 0), # 137
(11, 8, 15, 9, 10, 3, 2, 3, 10, 0, 2, 2, 0, 19, 15, 11, 11, 16, 3, 5, 3, 10, 4, 2, 0, 0), # 138
(11, 10, 11, 13, 9, 6, 4, 6, 10, 4, 0, 1, 0, 16, 13, 9, 3, 11, 2, 1, 3, 10, 6, 3, 0, 0), # 139
(14, 8, 12, 11, 19, 8, 7, 8, 9, 3, 1, 2, 0, 13, 7, 11, 6, 16, 9, 5, 3, 5, 10, 4, 1, 0), # 140
(13, 12, 7, 13, 9, 1, 4, 6, 9, 5, 1, 0, 0, 17, 12, 3, 10, 7, 4, 5, 4, 4, 2, 3, 1, 0), # 141
(14, 14, 6, 10, 9, 5, 8, 6, 8, 1, 1, 1, 0, 21, 10, 9, 6, 9, 6, 4, 4, 8, 2, 6, 0, 0), # 142
(21, 14, 21, 16, 10, 4, 6, 8, 5, 2, 3, 1, 0, 16, 5, 11, 2, 15, 7, 3, 3, 2, 3, 4, 1, 0), # 143
(15, 16, 9, 16, 14, 7, 4, 6, 4, 2, 0, 0, 0, 18, 13, 7, 4, 11, 4, 4, 6, 5, 7, 0, 1, 0), # 144
(14, 10, 8, 17, 24, 7, 5, 4, 7, 3, 0, 1, 0, 17, 14, 10, 7, 14, 11, 3, 2, 6, 5, 3, 0, 0), # 145
(20, 11, 15, 15, 11, 5, 5, 3, 8, 4, 2, 2, 0, 16, 15, 13, 9, 11, 6, 6, 0, 5, 3, 4, 1, 0), # 146
(25, 11, 9, 12, 11, 3, 6, 4, 9, 2, 5, 1, 0, 21, 15, 9, 4, 5, 4, 2, 3, 8, 2, 1, 0, 0), # 147
(11, 12, 16, 11, 11, 3, 6, 3, 7, 2, 0, 1, 0, 16, 10, 7, 3, 14, 7, 4, 1, 8, 4, 3, 1, 0), # 148
(9, 11, 10, 18, 12, 3, 11, 4, 6, 1, 2, 1, 0, 15, 16, 8, 9, 16, 10, 6, 0, 5, 5, 3, 0, 0), # 149
(16, 8, 14, 9, 10, 4, 3, 3, 5, 2, 3, 2, 0, 14, 13, 11, 10, 12, 11, 7, 5, 9, 1, 2, 0, 0), # 150
(11, 12, 9, 7, 9, 3, 5, 4, 8, 1, 0, 1, 0, 15, 12, 6, 4, 15, 2, 3, 6, 4, 3, 4, 1, 0), # 151
(10, 15, 5, 13, 6, 4, 6, 3, 8, 1, 2, 2, 0, 11, 10, 7, 4, 13, 3, 2, 2, 4, 4, 2, 1, 0), # 152
(10, 7, 13, 10, 15, 6, 6, 7, 5, 1, 1, 2, 0, 9, 11, 12, 5, 10, 1, 4, 4, 3, 3, 3, 1, 0), # 153
(15, 14, 9, 17, 6, 9, 2, 8, 7, 2, 0, 0, 0, 9, 15, 9, 7, 10, 5, 4, 5, 7, 5, 2, 0, 0), # 154
(10, 11, 9, 15, 6, 4, 3, 3, 3, 1, 0, 0, 0, 20, 13, 8, 9, 13, 4, 7, 2, 4, 4, 2, 0, 0), # 155
(11, 12, 17, 10, 13, 3, 3, 4, 5, 5, 3, 1, 0, 13, 8, 8, 10, 7, 6, 0, 2, 10, 3, 4, 1, 0), # 156
(6, 10, 17, 9, 8, 2, 3, 5, 4, 2, 0, 2, 0, 16, 7, 10, 8, 12, 1, 6, 4, 5, 4, 1, 0, 0), # 157
(12, 11, 9, 8, 14, 6, 4, 5, 11, 1, 1, 1, 0, 11, 12, 11, 4, 10, 4, 4, 0, 10, 1, 1, 1, 0), # 158
(16, 5, 15, 13, 9, 9, 5, 5, 4, 5, 2, 0, 0, 15, 10, 8, 4, 12, 9, 6, 2, 7, 3, 6, 0, 0), # 159
(10, 13, 10, 11, 9, 5, 3, 4, 12, 3, 1, 0, 0, 12, 10, 12, 5, 9, 8, 1, 7, 3, 8, 5, 1, 0), # 160
(9, 7, 8, 12, 11, 6, 4, 2, 5, 1, 3, 0, 0, 19, 6, 10, 7, 7, 5, 0, 0, 6, 4, 2, 0, 0), # 161
(11, 7, 15, 13, 6, 2, 7, 10, 9, 0, 1, 1, 0, 15, 12, 5, 5, 13, 15, 6, 5, 4, 3, 2, 0, 0), # 162
(12, 13, 14, 12, 8, 7, 3, 3, 8, 3, 1, 2, 0, 10, 15, 10, 6, 20, 3, 3, 2, 7, 3, 1, 0, 0), # 163
(6, 6, 12, 10, 6, 6, 4, 2, 7, 1, 2, 1, 0, 20, 10, 8, 5, 6, 3, 5, 1, 8, 3, 2, 1, 0), # 164
(19, 11, 10, 9, 10, 6, 6, 4, 5, 3, 2, 1, 0, 14, 8, 13, 8, 15, 3, 3, 6, 4, 4, 1, 0, 0), # 165
(13, 7, 16, 12, 6, 7, 5, 2, 4, 2, 4, 0, 0, 7, 6, 6, 3, 13, 7, 4, 5, 4, 2, 1, 2, 0), # 166
(16, 9, 10, 10, 8, 7, 2, 7, 5, 4, 1, 1, 0, 14, 10, 5, 8, 8, 2, 4, 5, 4, 10, 1, 0, 0), # 167
(9, 10, 15, 9, 11, 2, 5, 4, 6, 4, 1, 0, 0, 14, 7, 3, 5, 11, 2, 2, 3, 10, 4, 0, 1, 0), # 168
(12, 7, 11, 11, 15, 5, 1, 3, 1, 0, 1, 0, 0, 10, 6, 3, 9, 10, 5, 7, 1, 6, 2, 2, 1, 0), # 169
(12, 8, 6, 16, 6, 7, 0, 2, 3, 0, 0, 1, 0, 14, 12, 3, 5, 6, 4, 3, 5, 3, 4, 1, 0, 0), # 170
(11, 8, 8, 6, 13, 3, 2, 7, 8, 3, 0, 1, 0, 12, 9, 8, 4, 14, 5, 3, 3, 4, 2, 2, 0, 0), # 171
(10, 5, 10, 7, 7, 0, 1, 5, 4, 1, 0, 1, 0, 12, 9, 5, 5, 7, 4, 3, 4, 6, 1, 1, 1, 0), # 172
(6, 9, 11, 8, 9, 5, 3, 2, 5, 2, 1, 0, 0, 13, 9, 6, 1, 11, 2, 2, 3, 5, 2, 1, 0, 0), # 173
(5, 6, 9, 5, 7, 3, 4, 4, 5, 0, 2, 1, 0, 12, 8, 7, 1, 6, 5, 3, 2, 2, 1, 1, 0, 0), # 174
(8, 4, 8, 14, 4, 5, 4, 2, 1, 2, 0, 1, 0, 10, 10, 3, 1, 7, 3, 4, 2, 2, 6, 0, 2, 0), # 175
(3, 6, 6, 11, 5, 0, 7, 2, 4, 3, 5, 2, 0, 3, 11, 7, 3, 7, 4, 1, 4, 5, 4, 1, 1, 0), # 176
(5, 9, 5, 5, 5, 7, 3, 4, 2, 0, 2, 2, 0, 7, 9, 1, 0, 5, 5, 3, 1, 4, 2, 1, 0, 0), # 177
(8, 7, 3, 6, 11, 4, 3, 2, 2, 1, 1, 0, 0, 11, 6, 3, 1, 5, 1, 2, 0, 1, 1, 0, 1, 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 = (
(9.037558041069182, 9.9455194074477, 9.380309813302512, 11.18640199295418, 9.998434093697302, 5.64957887766721, 7.462864107673047, 8.375717111362961, 10.962178311902413, 7.124427027940266, 7.569477294994085, 8.816247140951113, 9.150984382641052), # 0
(9.637788873635953, 10.602109249460566, 9.999623864394273, 11.925259655897909, 10.660482607453627, 6.0227704512766005, 7.955044094274649, 8.927124701230275, 11.686041587399236, 7.59416524609887, 8.069573044721038, 9.398189989465838, 9.755624965391739), # 1
(10.236101416163518, 11.256093307603763, 10.616476113985344, 12.66117786839663, 11.320133352749538, 6.3944732061224006, 8.445273314329269, 9.476325446227955, 12.407016252379588, 8.062044795036982, 8.567681667797364, 9.9778187736955, 10.357856690777442), # 2
(10.830164027663812, 11.904876903485604, 11.228419564775738, 13.391237533557733, 11.974791016803424, 6.763213120653203, 8.93160655496632, 10.021142083490112, 13.122243289657968, 8.526208857167125, 9.061827141289289, 10.55283423287483, 10.955291051257605), # 3
(11.417645067148767, 12.545865358714394, 11.833007219465467, 14.112519554488625, 12.621860286833686, 7.127516173317602, 9.412098603315226, 10.559397350150848, 13.828863682048873, 8.984800614901822, 9.550033442263036, 11.120937106238575, 11.54553953929167), # 4
(11.996212893630318, 13.176463994898459, 12.427792080754532, 14.822104834296708, 13.258745850058704, 7.485908342564186, 9.884804246505404, 11.088913983344266, 14.524018412366805, 9.435963250653593, 10.030324547784838, 11.679828133021466, 12.126213647339089), # 5
(12.5635358661204, 13.794078133646101, 13.010327151342958, 15.517074276089375, 13.882852393696878, 7.836915606841555, 10.347778271666273, 11.60751472020448, 15.204848463426268, 9.877839946834966, 10.500724434920908, 12.227208052458254, 12.694924867859292), # 6
(13.117282343630944, 14.396113096565637, 13.578165433930742, 16.194508782974033, 14.491584604966597, 8.179063944598298, 10.799075465927253, 12.113022297865593, 15.868494818041759, 10.308573885858456, 10.959257080737483, 12.760777603783673, 13.249284693311735), # 7
(13.655120685173882, 14.979974205265378, 14.128859931217914, 16.85148925805807, 15.082347171086255, 8.510879334283002, 11.236750616417757, 12.603259453461705, 16.512098459027772, 10.726308250136594, 11.403946462300778, 13.278237526232465, 13.786904616155851), # 8
(14.174719249761154, 15.543066781353641, 14.659963645904467, 17.485096604448906, 15.652544779274237, 8.830887754344271, 11.658858510267216, 13.076048924126933, 17.132800369198815, 11.129186222081895, 11.83281655667702, 13.777288559039365, 14.305396128851092), # 9
(14.673746396404677, 16.082796146438728, 15.169029580690424, 18.092411725253918, 16.199582116748942, 9.137615183230693, 12.063453934605038, 13.52921344699538, 17.727741531369386, 11.515350984106886, 12.243891340932432, 14.255631441439114, 14.802370723856898), # 10
(15.149870484116411, 16.596567622128973, 15.653610738275788, 18.670515523580516, 16.72086387072876, 9.429587599390864, 12.44859167656065, 13.960575759201147, 18.294062928353988, 11.882945718624095, 12.635194792133248, 14.710966912666459, 15.2754398936327), # 11
(15.600759871908263, 17.081786530032655, 16.111260121360573, 19.216488902536103, 17.21379472843208, 9.705330981273365, 12.812326523263462, 14.367958597878339, 18.82890554296712, 12.23011360804603, 13.004750887345683, 15.140995711956123, 15.722215130637963), # 12
(16.02408291879218, 17.535858191758116, 16.539530732644792, 19.727412765228078, 17.675779377077284, 9.963371307326803, 13.152713261842901, 14.749184700161067, 19.329410358023278, 12.554997834785228, 13.350583603635965, 15.543418578542857, 16.140307927332124), # 13
(16.41750798378009, 17.95618792891366, 16.935975574828465, 20.20036801476383, 18.10422250388278, 10.202234555999762, 13.46780667942839, 15.102076803183444, 19.79271835633696, 12.855741581254202, 13.670716918070312, 15.915936251661408, 16.527329776174614), # 14
(16.77870342588394, 18.34018106310759, 17.298147650611575, 20.632435554250776, 18.496528796066954, 10.420446705740842, 13.755661563149326, 15.424457644079562, 20.215970520722674, 13.130488029865482, 13.963174807714955, 16.256249470546507, 16.880892169624886), # 15
(17.10533760411564, 18.685242915948237, 17.623599962694165, 21.02069628679629, 18.8501029408482, 10.616533734998628, 14.014332700135158, 15.71414995998353, 20.596307833994917, 13.377380363031593, 14.225981249636122, 16.56205897443289, 17.198606600142384), # 16
(17.395078877487137, 18.988778809043904, 17.909885513776235, 21.362231115507804, 19.162349625444907, 10.789021622221714, 14.24187487751528, 15.968976488029472, 20.930871278968173, 13.594561763165041, 14.457160220900038, 16.8310655025553, 17.47808456018655), # 17
(17.645595605010367, 19.248194064002895, 18.154557306557784, 21.654120943492703, 19.43067353707546, 10.936436345858706, 14.436342882419133, 16.18675996535147, 21.216801838456973, 13.780175412678366, 14.654735698572916, 17.060969794148487, 17.716937542216822), # 18
(17.85455614569726, 19.46089400243354, 18.355168343738843, 21.893446673858367, 19.65247936295826, 11.057303884358175, 14.59579150197611, 16.36532312908364, 21.4512404952758, 13.93236449398409, 14.81673165972098, 17.249472588447173, 17.912777038692653), # 19
(18.01962885855975, 19.624283945944132, 18.509271628019405, 22.077289209712237, 19.8251717903117, 11.150150216168733, 14.718275523315652, 16.50248871636009, 21.631328232239156, 14.049272189494726, 14.94117208141047, 17.394274624686105, 18.063214542073485), # 20
(18.13848210260976, 19.735769216143005, 18.614420162099496, 22.202729454161673, 19.94615550635416, 11.213501319738963, 14.801849733567167, 16.596079464314922, 21.754206032161537, 14.1290416816228, 15.026080940707608, 17.49307664210003, 18.165861544818743), # 21
(18.20878423685924, 19.792755134638462, 18.668166948679115, 22.266848310314106, 20.012835198304035, 11.245883173517461, 14.844568919860079, 16.643918110082247, 21.81701487785745, 14.169816152780836, 15.069482214678613, 17.54357937992368, 18.218329539387888), # 22
(18.23470805401675, 19.799502469135803, 18.674861728395065, 22.274875462962967, 20.029917700858675, 11.25, 14.84964720406681, 16.64908888888889, 21.824867222222224, 14.17462609053498, 15.074924466891131, 17.549815637860082, 18.225), # 23
(18.253822343461476, 19.79556666666667, 18.673766666666666, 22.273887500000004, 20.039593704506736, 11.25, 14.8468568627451, 16.6419, 21.823815, 14.17167111111111, 15.074324242424245, 17.548355555555556, 18.225), # 24
(18.272533014380844, 19.78780864197531, 18.671604938271606, 22.27193287037037, 20.049056902070106, 11.25, 14.841358024691358, 16.62777777777778, 21.82173611111111, 14.16585390946502, 15.073134118967452, 17.545473251028806, 18.225), # 25
(18.290838634286462, 19.776346913580248, 18.668406172839507, 22.269033796296295, 20.05830696315799, 11.25, 14.833236092955698, 16.60698888888889, 21.81865722222222, 14.157271275720165, 15.07136487093154, 17.54120823045268, 18.225), # 26
(18.308737770689945, 19.7613, 18.6642, 22.265212499999997, 20.067343557379587, 11.25, 14.822576470588237, 16.579800000000002, 21.814605, 14.146019999999998, 15.069027272727272, 17.535600000000002, 18.225), # 27
(18.3262289911029, 19.742786419753084, 18.659016049382718, 22.260491203703705, 20.076166354344124, 11.25, 14.809464560639071, 16.54647777777778, 21.809606111111112, 14.132196872427985, 15.066132098765433, 17.528688065843625, 18.225), # 28
(18.34331086303695, 19.720924691358025, 18.652883950617287, 22.25489212962963, 20.084775023660796, 11.25, 14.793985766158318, 16.507288888888887, 21.803687222222223, 14.115898683127574, 15.06269012345679, 17.520511934156378, 18.225), # 29
(18.359981954003697, 19.695833333333333, 18.645833333333332, 22.2484375, 20.093169234938827, 11.25, 14.776225490196078, 16.4625, 21.796875, 14.097222222222223, 15.058712121212121, 17.51111111111111, 18.225), # 30
(18.376240831514746, 19.667630864197534, 18.637893827160497, 22.241149537037035, 20.101348657787415, 11.25, 14.756269135802471, 16.412377777777778, 21.78919611111111, 14.07626427983539, 15.054208866442199, 17.500525102880662, 18.225), # 31
(18.392086063081717, 19.636435802469137, 18.629095061728393, 22.233050462962964, 20.10931296181577, 11.25, 14.734202106027599, 16.357188888888892, 21.780677222222224, 14.053121646090535, 15.0491911335578, 17.48879341563786, 18.225), # 32
(18.407516216216216, 19.602366666666665, 18.619466666666668, 22.2241625, 20.117061816633115, 11.25, 14.710109803921569, 16.2972, 21.771345, 14.027891111111112, 15.043669696969696, 17.475955555555554, 18.225), # 33
(18.422529858429858, 19.56554197530864, 18.609038271604938, 22.21450787037037, 20.12459489184864, 11.25, 14.684077632534496, 16.232677777777777, 21.761226111111114, 14.000669465020577, 15.037655331088663, 17.462051028806584, 18.225), # 34
(18.437125557234253, 19.52608024691358, 18.597839506172843, 22.204108796296293, 20.131911857071568, 11.25, 14.656190994916486, 16.163888888888888, 21.750347222222224, 13.971553497942386, 15.031158810325476, 17.447119341563788, 18.225), # 35
(18.45130188014101, 19.484099999999998, 18.5859, 22.192987499999997, 20.139012381911105, 11.25, 14.626535294117646, 16.0911, 21.738735, 13.94064, 15.024190909090908, 17.431200000000004, 18.225), # 36
(18.46505739466174, 19.43971975308642, 18.57324938271605, 22.181166203703704, 20.145896135976457, 11.25, 14.595195933188089, 16.014577777777777, 21.72641611111111, 13.908025761316873, 15.016762401795738, 17.414332510288066, 18.225), # 37
(18.47839066830806, 19.39305802469136, 18.559917283950615, 22.168667129629632, 20.152562788876843, 11.25, 14.562258315177923, 15.934588888888891, 21.713417222222223, 13.873807572016462, 15.00888406285073, 17.396556378600824, 18.225), # 38
(18.491300268591576, 19.34423333333333, 18.545933333333334, 22.1555125, 20.159012010221467, 11.25, 14.527807843137257, 15.8514, 21.699765000000003, 13.838082222222223, 15.000566666666668, 17.37791111111111, 18.225), # 39
(18.503784763023894, 19.293364197530863, 18.531327160493827, 22.14172453703704, 20.165243469619533, 11.25, 14.491929920116196, 15.765277777777781, 21.685486111111114, 13.800946502057615, 14.99182098765432, 17.358436213991773, 18.225), # 40
(18.51584271911663, 19.24056913580247, 18.51612839506173, 22.127325462962965, 20.171256836680264, 11.25, 14.454709949164851, 15.67648888888889, 21.67060722222222, 13.76249720164609, 14.982657800224468, 17.338171193415636, 18.225), # 41
(18.527472704381402, 19.18596666666667, 18.500366666666668, 22.112337500000002, 20.177051781012857, 11.25, 14.416233333333333, 15.5853, 21.655155000000004, 13.72283111111111, 14.97308787878788, 17.317155555555555, 18.225), # 42
(18.538673286329807, 19.12967530864198, 18.484071604938272, 22.096782870370372, 20.182627972226527, 11.25, 14.37658547567175, 15.491977777777779, 21.63915611111111, 13.682045020576133, 14.96312199775533, 17.295428806584365, 18.225), # 43
(18.54944303247347, 19.071813580246914, 18.467272839506176, 22.0806837962963, 20.18798507993048, 11.25, 14.335851779230211, 15.396788888888892, 21.62263722222222, 13.64023572016461, 14.952770931537597, 17.2730304526749, 18.225), # 44
(18.55978051032399, 19.0125, 18.45, 22.064062500000002, 20.193122773733933, 11.25, 14.294117647058824, 15.3, 21.605625, 13.597500000000002, 14.942045454545454, 17.25, 18.225), # 45
(18.569684287392985, 18.951853086419753, 18.432282716049382, 22.046941203703703, 20.198040723246088, 11.25, 14.251468482207699, 15.20187777777778, 21.588146111111108, 13.553934650205761, 14.930956341189674, 17.226376954732512, 18.225), # 46
(18.579152931192063, 18.88999135802469, 18.41415061728395, 22.02934212962963, 20.202738598076163, 11.25, 14.207989687726945, 15.102688888888888, 21.570227222222226, 13.50963646090535, 14.919514365881032, 17.20220082304527, 18.225), # 47
(18.588185009232834, 18.827033333333333, 18.395633333333333, 22.0112875, 20.20721606783336, 11.25, 14.163766666666668, 15.0027, 21.551895000000002, 13.464702222222222, 14.907730303030302, 17.177511111111112, 18.225), # 48
(18.596779089026917, 18.763097530864197, 18.376760493827163, 21.99279953703704, 20.211472802126895, 11.25, 14.118884822076978, 14.902177777777778, 21.53317611111111, 13.419228724279836, 14.895614927048262, 17.152347325102884, 18.225), # 49
(18.604933738085908, 18.698302469135808, 18.357561728395066, 21.973900462962963, 20.21550847056597, 11.25, 14.073429557007989, 14.801388888888889, 21.514097222222222, 13.373312757201646, 14.883179012345678, 17.126748971193418, 18.225), # 50
(18.61264752392144, 18.63276666666667, 18.338066666666666, 21.9546125, 20.219322742759797, 11.25, 14.027486274509805, 14.7006, 21.494685000000004, 13.32705111111111, 14.870433333333335, 17.10075555555556, 18.225), # 51
(18.619919014045102, 18.56660864197531, 18.318304938271606, 21.934957870370372, 20.222915288317584, 11.25, 13.981140377632535, 14.600077777777777, 21.47496611111111, 13.280540576131688, 14.857388664421999, 17.074406584362144, 18.225), # 52
(18.626746775968517, 18.49994691358025, 18.29830617283951, 21.914958796296297, 20.226285776848552, 11.25, 13.93447726942629, 14.50008888888889, 21.454967222222226, 13.233877942386831, 14.844055780022448, 17.04774156378601, 18.225), # 53
(18.63312937720329, 18.432900000000004, 18.2781, 21.8946375, 20.229433877961906, 11.25, 13.887582352941177, 14.400899999999998, 21.434715, 13.18716, 14.830445454545453, 17.0208, 18.225), # 54
(18.63906538526104, 18.365586419753086, 18.25771604938272, 21.874016203703704, 20.232359261266843, 11.25, 13.840541031227307, 14.302777777777777, 21.414236111111112, 13.140483539094651, 14.816568462401795, 16.993621399176956, 18.225), # 55
(18.64455336765337, 18.298124691358026, 18.237183950617286, 21.85311712962963, 20.235061596372585, 11.25, 13.793438707334786, 14.20598888888889, 21.393557222222224, 13.09394534979424, 14.802435578002246, 16.96624526748971, 18.225), # 56
(18.649591891891887, 18.230633333333333, 18.216533333333334, 21.8319625, 20.23754055288834, 11.25, 13.746360784313726, 14.110800000000001, 21.372705, 13.047642222222223, 14.788057575757577, 16.93871111111111, 18.225), # 57
(18.654179525488225, 18.163230864197534, 18.195793827160493, 21.810574537037034, 20.239795800423316, 11.25, 13.699392665214235, 14.017477777777778, 21.35170611111111, 13.001670946502058, 14.773445230078567, 16.91105843621399, 18.225), # 58
(18.658314835953966, 18.096035802469135, 18.174995061728396, 21.788975462962963, 20.24182700858672, 11.25, 13.65261975308642, 13.92628888888889, 21.330587222222224, 12.956128312757203, 14.758609315375981, 16.883326748971193, 18.225), # 59
(18.661996390800738, 18.02916666666667, 18.154166666666665, 21.767187500000002, 20.243633846987766, 11.25, 13.606127450980392, 13.8375, 21.309375000000003, 12.911111111111111, 14.743560606060607, 16.855555555555558, 18.225), # 60
(18.665222757540146, 17.962741975308646, 18.13333827160494, 21.74523287037037, 20.24521598523566, 11.25, 13.560001161946259, 13.751377777777778, 21.288096111111113, 12.866716131687244, 14.728309876543209, 16.82778436213992, 18.225), # 61
(18.66799250368381, 17.89688024691358, 18.112539506172844, 21.7231337962963, 20.246573092939624, 11.25, 13.514326289034132, 13.66818888888889, 21.266777222222224, 12.823040164609054, 14.712867901234567, 16.80005267489712, 18.225), # 62
(18.670304196743327, 17.831699999999998, 18.0918, 21.7009125, 20.24770483970884, 11.25, 13.469188235294117, 13.5882, 21.245445, 12.78018, 14.697245454545456, 16.7724, 18.225), # 63
(18.672156404230314, 17.767319753086422, 18.071149382716047, 21.678591203703704, 20.24861089515255, 11.25, 13.424672403776325, 13.511677777777779, 21.22412611111111, 12.738232427983538, 14.681453310886642, 16.7448658436214, 18.225), # 64
(18.67354769365639, 17.703858024691357, 18.05061728395062, 21.65619212962963, 20.24929092887994, 11.25, 13.380864197530865, 13.438888888888888, 21.202847222222225, 12.697294238683126, 14.665502244668913, 16.717489711934153, 18.225), # 65
(18.674476632533153, 17.641433333333335, 18.030233333333335, 21.6337375, 20.249744610500233, 11.25, 13.337849019607843, 13.3701, 21.181635000000004, 12.657462222222222, 14.649403030303029, 16.690311111111114, 18.225), # 66
(18.674941788372227, 17.580164197530863, 18.010027160493827, 21.611249537037036, 20.249971609622634, 11.25, 13.29571227305737, 13.30557777777778, 21.16051611111111, 12.618833168724281, 14.633166442199778, 16.6633695473251, 18.225), # 67
(18.674624906065485, 17.519847550776582, 17.989930709876543, 21.588555132850242, 20.249780319535223, 11.24979122085048, 13.254327350693364, 13.245018930041153, 21.13935812757202, 12.5813167949649, 14.616514779372677, 16.636554039419536, 18.22477527006173), # 68
(18.671655072463768, 17.458641935483872, 17.969379166666666, 21.564510326086953, 20.248039215686273, 11.248140740740741, 13.212482726423904, 13.185177777777778, 21.11723611111111, 12.543851503267971, 14.597753110047847, 16.608994152046783, 18.222994791666668), # 69
(18.665794417606012, 17.39626642771804, 17.948283179012343, 21.538956823671498, 20.244598765432098, 11.244890260631001, 13.169988242210465, 13.125514403292183, 21.09402520576132, 12.506255144032922, 14.576667995746943, 16.580560970327056, 18.219478202160495), # 70
(18.657125389157272, 17.332758303464754, 17.92665015432099, 21.51193230676329, 20.239502541757446, 11.240092455418381, 13.12686298717018, 13.066048559670783, 21.06975997942387, 12.46852864681675, 14.553337267410951, 16.551275286982886, 18.21427179783951), # 71
(18.64573043478261, 17.268154838709677, 17.9044875, 21.48347445652174, 20.23279411764706, 11.2338, 13.083126050420168, 13.0068, 21.044475000000002, 12.43067294117647, 14.527838755980863, 16.52115789473684, 18.207421875), # 72
(18.631692002147076, 17.20249330943847, 17.88180262345679, 21.45362095410628, 20.224517066085692, 11.226065569272976, 13.038796521077565, 12.947788477366256, 21.01820483539095, 12.392688956669087, 14.50025029239766, 16.490229586311454, 18.198974729938275), # 73
(18.61509253891573, 17.1358109916368, 17.858602932098762, 21.42240948067633, 20.214714960058096, 11.216941838134431, 12.9938934882595, 12.889033744855967, 20.990984053497943, 12.354577622851611, 14.470649707602341, 16.45851115442928, 18.18897665895062), # 74
(18.59601449275362, 17.06814516129032, 17.83489583333333, 21.389877717391304, 20.203431372549023, 11.206481481481482, 12.9484360410831, 12.830555555555556, 20.96284722222222, 12.316339869281046, 14.439114832535884, 16.426023391812866, 18.177473958333334), # 75
(18.57454031132582, 16.99953309438471, 17.8106887345679, 21.35606334541063, 20.19070987654321, 11.19473717421125, 12.902443268665492, 12.772373662551441, 20.93382890946502, 12.277976625514404, 14.405723498139285, 16.392787091184747, 18.164512924382716), # 76
(18.55075244229737, 16.93001206690562, 17.785989043209874, 21.32100404589372, 20.176594045025414, 11.18176159122085, 12.855934260123803, 12.714507818930043, 20.90396368312757, 12.239488821108692, 14.370553535353537, 16.358823045267492, 18.150139853395064), # 77
(18.524733333333334, 16.859619354838713, 17.760804166666667, 21.2847375, 20.16112745098039, 11.167607407407406, 12.808928104575164, 12.65697777777778, 20.87328611111111, 12.200877385620915, 14.333682775119618, 16.324152046783627, 18.134401041666667), # 78
(18.496565432098766, 16.788392234169656, 17.735141512345677, 21.24730138888889, 20.144353667392885, 11.152327297668037, 12.761443891136702, 12.59980329218107, 20.84183076131687, 12.162143248608086, 14.29518904837852, 16.28879488845571, 18.117342785493825), # 79
(18.466331186258724, 16.71636798088411, 17.70900848765432, 21.208733393719807, 20.126316267247642, 11.135973936899862, 12.713500708925546, 12.543004115226339, 20.809632201646092, 12.123287339627208, 14.255150186071239, 16.252772363006283, 18.09901138117284), # 80
(18.434113043478263, 16.643583870967742, 17.682412499999998, 21.169071195652176, 20.10705882352941, 11.118599999999999, 12.665117647058823, 12.486600000000001, 20.776725, 12.084310588235295, 14.213644019138757, 16.216105263157896, 18.079453124999997), # 81
(18.399993451422436, 16.570077180406216, 17.655360956790126, 21.12835247584541, 20.086624909222948, 11.10025816186557, 12.616313794653665, 12.430610699588478, 20.743143724279836, 12.045213923989348, 14.170748378522063, 16.178814381633096, 18.058714313271608), # 82
(18.364054857756308, 16.495885185185184, 17.6278612654321, 21.086614915458934, 20.065058097313, 11.08100109739369, 12.567108240827196, 12.37505596707819, 20.70892294238683, 12.00599827644638, 14.12654109516215, 16.14092051115443, 18.036841242283952), # 83
(18.326379710144927, 16.421045161290323, 17.599920833333332, 21.043896195652174, 20.042401960784314, 11.060881481481482, 12.517520074696545, 12.319955555555556, 20.674097222222223, 11.9666645751634, 14.0811, 16.102444444444444, 18.013880208333333), # 84
(18.287050456253354, 16.345594384707287, 17.571547067901232, 21.000233997584544, 20.01870007262164, 11.039951989026063, 12.467568385378843, 12.265329218106997, 20.63870113168724, 11.92721374969741, 14.034502923976609, 16.06340697422569, 17.989877507716052), # 85
(18.246149543746643, 16.269570131421744, 17.54274737654321, 20.955666002415462, 19.99399600580973, 11.018265294924555, 12.417272261991217, 12.21119670781893, 20.60276923868313, 11.887646729605423, 13.986827698032961, 16.02382889322071, 17.964879436728395), # 86
(18.203759420289852, 16.193009677419354, 17.513529166666665, 20.910229891304347, 19.968333333333337, 10.995874074074074, 12.366650793650793, 12.157577777777778, 20.566336111111116, 11.847964444444443, 13.938152153110048, 15.983730994152046, 17.938932291666667), # 87
(18.159962533548043, 16.11595029868578, 17.483899845679012, 20.86396334541063, 19.941755628177198, 10.972831001371743, 12.315723069474704, 12.104492181069958, 20.52943631687243, 11.808167823771482, 13.888554120148857, 15.943134069742257, 17.912082368827164), # 88
(18.11484133118626, 16.03842927120669, 17.453866820987656, 20.81690404589372, 19.91430646332607, 10.94918875171468, 12.264508178580074, 12.051959670781894, 20.492104423868312, 11.76825779714355, 13.838111430090379, 15.902058912713883, 17.884375964506173), # 89
(18.068478260869565, 15.960483870967742, 17.423437500000002, 20.769089673913047, 19.886029411764707, 10.925, 12.213025210084034, 12.0, 20.454375000000002, 11.728235294117647, 13.786901913875598, 15.860526315789475, 17.855859375), # 90
(18.020955770263015, 15.8821513739546, 17.392619290123456, 20.720557910628024, 19.85696804647785, 10.900317421124829, 12.161293253103711, 11.9486329218107, 20.41628261316873, 11.688101244250786, 13.735003402445509, 15.818557071691574, 17.826578896604936), # 91
(17.97235630703167, 15.80346905615293, 17.361419598765433, 20.671346437198068, 19.827165940450254, 10.875193689986283, 12.109331396756236, 11.897878189300412, 20.377861831275723, 11.647856577099976, 13.682493726741095, 15.776171973142736, 17.796580825617283), # 92
(17.92276231884058, 15.724474193548389, 17.329845833333334, 20.621492934782612, 19.796666666666667, 10.84968148148148, 12.057158730158731, 11.847755555555556, 20.339147222222223, 11.607502222222221, 13.62945071770335, 15.733391812865497, 17.76591145833333), # 93
(17.872256253354806, 15.645204062126643, 17.29790540123457, 20.571035084541062, 19.765513798111837, 10.823833470507545, 12.00479434242833, 11.798284773662553, 20.300173353909464, 11.567039109174534, 13.575952206273259, 15.690237383582414, 17.734617091049383), # 94
(17.820920558239397, 15.56569593787336, 17.265605709876546, 20.52001056763285, 19.733750907770517, 10.797702331961592, 11.95225732268216, 11.749485596707821, 20.260974794238685, 11.526468167513919, 13.522076023391813, 15.646729478016026, 17.70274402006173), # 95
(17.76883768115942, 15.485987096774197, 17.23295416666667, 20.468457065217393, 19.701421568627453, 10.77134074074074, 11.899566760037347, 11.701377777777779, 20.221586111111108, 11.485790326797385, 13.4679, 15.602888888888891, 17.67033854166667), # 96
(17.716090069779927, 15.406114814814819, 17.199958179012345, 20.416412258454105, 19.668569353667394, 10.744801371742112, 11.846741743611025, 11.65398106995885, 20.182041872427984, 11.445006516581941, 13.413501967038808, 15.558736408923545, 17.637446952160495), # 97
(17.66276017176597, 15.326116367980884, 17.166625154320986, 20.363913828502415, 19.635237835875095, 10.718136899862827, 11.793801362520316, 11.607315226337448, 20.142376646090533, 11.404117666424595, 13.35895975544923, 15.514292830842535, 17.604115547839505), # 98
(17.608930434782607, 15.246029032258065, 17.1329625, 20.31099945652174, 19.601470588235298, 10.6914, 11.740764705882354, 11.5614, 20.102625, 11.363124705882353, 13.304351196172249, 15.469578947368422, 17.570390625), # 99
(17.5546833064949, 15.165890083632016, 17.09897762345679, 20.257706823671498, 19.567311183732752, 10.664643347050754, 11.687650862814262, 11.516255144032922, 20.062821502057616, 11.322028564512225, 13.249754120148857, 15.42461555122374, 17.536318479938274), # 100
(17.500101234567904, 15.085736798088412, 17.064677932098768, 20.204073611111113, 19.532803195352216, 10.637919615912208, 11.634478922433171, 11.471900411522633, 20.02300072016461, 11.280830171871218, 13.195246358320043, 15.379423435131034, 17.501945408950615), # 101
(17.44526666666667, 15.005606451612904, 17.030070833333333, 20.1501375, 19.497990196078433, 10.611281481481482, 11.58126797385621, 11.428355555555555, 19.98319722222222, 11.239530457516341, 13.140905741626794, 15.334023391812867, 17.467317708333336), # 102
(17.390262050456254, 14.92553632019116, 16.9951637345679, 20.095936171497584, 19.462915758896152, 10.584781618655693, 11.528037106200506, 11.385640329218107, 19.943445576131687, 11.1981303510046, 13.086810101010101, 15.28843621399177, 17.432481674382714), # 103
(17.335169833601718, 14.845563679808842, 16.959964043209876, 20.041507306763286, 19.427623456790123, 10.558472702331962, 11.474805408583187, 11.343774485596708, 19.90378034979424, 11.156630781893005, 13.03303726741095, 15.242682694390297, 17.397483603395063), # 104
(17.280072463768114, 14.765725806451613, 16.924479166666668, 19.98688858695652, 19.392156862745097, 10.532407407407408, 11.421591970121383, 11.302777777777779, 19.86423611111111, 11.115032679738563, 12.979665071770334, 15.196783625730996, 17.362369791666666), # 105
(17.225052388620504, 14.686059976105138, 16.888716512345678, 19.932117693236716, 19.356559549745825, 10.50663840877915, 11.36841587993222, 11.262669958847736, 19.82484742798354, 11.07333697409828, 12.92677134502924, 15.15075980073641, 17.327186535493826), # 106
(17.17019205582394, 14.606603464755079, 16.852683487654325, 19.877232306763286, 19.32087509077705, 10.48121838134431, 11.31529622713283, 11.223470781893006, 19.78564886831276, 11.03154459452917, 12.874433918128654, 15.104632012129088, 17.29198013117284), # 107
(17.11557391304348, 14.5273935483871, 16.8163875, 19.822270108695655, 19.28514705882353, 10.4562, 11.262252100840335, 11.185200000000002, 19.746675000000003, 10.989656470588237, 12.82273062200957, 15.05842105263158, 17.256796875000003), # 108
(17.061280407944178, 14.448467502986858, 16.779835956790127, 19.767268780193234, 19.249419026870008, 10.431635939643346, 11.209302590171871, 11.147877366255145, 19.707960390946504, 10.947673531832486, 12.771739287612972, 15.012147714966428, 17.221683063271605), # 109
(17.007393988191087, 14.369862604540026, 16.743036265432103, 19.71226600241546, 19.213734567901238, 10.407578875171467, 11.15646678424456, 11.111522633744855, 19.669539609053498, 10.90559670781893, 12.72153774587985, 14.965832791856185, 17.18668499228395), # 110
(16.953997101449275, 14.29161612903226, 16.705995833333336, 19.65729945652174, 19.178137254901962, 10.384081481481482, 11.103763772175537, 11.076155555555555, 19.631447222222224, 10.863426928104575, 12.672203827751195, 14.919497076023394, 17.151848958333336), # 111
(16.90117219538379, 14.213765352449222, 16.66872206790124, 19.602406823671497, 19.142670660856936, 10.361196433470509, 11.051212643081925, 11.041795884773663, 19.593717798353907, 10.821165122246429, 12.623815364167996, 14.873161360190599, 17.11722125771605), # 112
(16.84890760266548, 14.136477513814715, 16.631312090853726, 19.547700988485673, 19.10731622431267, 10.338965584586125, 10.998946734582185, 11.00853462380509, 19.556483060265517, 10.778948525902914, 12.57646303107516, 14.826947285707972, 17.0827990215178), # 113
(16.796665616220118, 14.060514930345965, 16.594282215038913, 19.493620958299207, 19.071708038219388, 10.317338295353823, 10.947632775139043, 10.976780267109216, 19.52031426428351, 10.73756730224301, 12.530239806803754, 14.781441909803354, 17.048295745488062), # 114
(16.744292825407193, 13.985904957629483, 16.55765447887317, 19.440152109327204, 19.035733820199482, 10.296258322497776, 10.89730737034481, 10.946524777701677, 19.485224961603823, 10.697085590378538, 12.485078120568769, 14.736667648605932, 17.013611936988678), # 115
(16.691723771827743, 13.912538906325063, 16.521357941970972, 19.38719907047953, 18.999339347490803, 10.275675979116777, 10.847888671550209, 10.917684563218188, 19.451126410610094, 10.657428045209185, 12.440890676288666, 14.692541755477222, 16.978693067560602), # 116
(16.63889299708279, 13.840308087092497, 16.485321663946774, 19.33466647066604, 18.9624703973312, 10.255541578309604, 10.799294830105955, 10.890176031294454, 19.417929869685967, 10.618519321634633, 12.39759017788191, 14.64898148377875, 16.943484608744804), # 117
(16.58573504277338, 13.769103810591583, 16.44947470441506, 19.2824589387966, 18.925072746958516, 10.235805433175049, 10.751443997362767, 10.863915589566174, 19.385546597215082, 10.580284074554568, 12.355089329266963, 14.60590408687203, 16.907932032082243), # 118
(16.532184450500534, 13.698817387482112, 16.413746122990304, 19.23048110378107, 18.887092173610597, 10.2164178568119, 10.70425432467136, 10.838819645669062, 19.353887851581078, 10.54264695886867, 12.31330083436229, 14.563226818118581, 16.87198080911388), # 119
(16.47817576186529, 13.629340128423884, 16.37806497928697, 19.17863759452931, 18.848474454525295, 10.197329162318939, 10.657643963382455, 10.814804607238818, 19.322864891167605, 10.50553262947663, 12.272137397086349, 14.520866930879935, 16.835576411380675), # 120
(16.423643518468683, 13.560563344076693, 16.342360332919537, 19.12683303995118, 18.809165366940455, 10.178489662794956, 10.611531064846766, 10.791786881911152, 19.2923889743583, 10.468865741278133, 12.23151172135761, 14.4787416785176, 16.79866431042359), # 121
(16.36852226191174, 13.49237834510033, 16.30656124350248, 19.07497206895654, 18.76911068809392, 10.159849671338735, 10.565833780415012, 10.769682877321769, 19.2623713595368, 10.43257094917286, 12.191336511094532, 14.436768314393102, 16.761189977783587), # 122
(16.312746533795494, 13.424676442154594, 16.270596770650265, 19.02295931045525, 18.728256195223544, 10.141359501049065, 10.52047026143791, 10.74840900110637, 19.232723305086758, 10.396572908060497, 12.151524470215579, 14.394864091867959, 16.72309888500163), # 123
(16.256250875720976, 13.357348945899277, 16.234395973977367, 18.970699393357176, 18.68654766556717, 10.12296946502473, 10.475358659266176, 10.727881660900668, 19.20335606939181, 10.36079627284073, 12.111988302639215, 14.352946264303695, 16.68433650361868), # 124
(16.198969829289226, 13.290287166994178, 16.197887913098263, 18.91809694657217, 18.643930876362642, 10.104629876364521, 10.43041712525053, 10.708017264340365, 19.174180910835588, 10.32516569841324, 12.072640712283903, 14.310932085061827, 16.644848305175692), # 125
(16.14083793610127, 13.22338241609909, 16.16100164762742, 18.8650565990101, 18.60035160484781, 10.086291048167222, 10.385563810741687, 10.688732219061166, 19.145109087801753, 10.289605839677717, 12.033394403068103, 14.268738807503881, 16.604579761213643), # 126
(16.08178973775815, 13.156526003873804, 16.123666237179307, 18.81148297958082, 18.555755628260517, 10.067903293531618, 10.34071686709037, 10.669942932698781, 19.116051858673934, 10.254041351533843, 11.994162078910282, 14.226283684991369, 16.56347634327348), # 127
(16.021759775860883, 13.089609240978122, 16.08581074136841, 18.7572807171942, 18.51008872383862, 10.0494169255565, 10.295794445647289, 10.651565812888913, 19.086920481835772, 10.218396888881303, 11.954856443728904, 14.183483970885819, 16.521483522896165), # 128
(15.960682592010507, 13.022523438071834, 16.047364219809193, 18.702354440760086, 18.46329666881996, 10.03078225734065, 10.250714697763163, 10.633517267267269, 19.057626215670915, 10.182597106619781, 11.915390201442428, 14.140256918548745, 16.478546771622668), # 129
(15.89849272780806, 12.955159905814739, 16.008255732116123, 18.646608779188355, 18.415325240442385, 10.011949601982854, 10.205395774788713, 10.61571370346955, 19.028080318563003, 10.146566659648963, 11.87567605596932, 14.096519781341675, 16.434611560993947), # 130
(15.83512472485457, 12.887409954866628, 15.968414337903685, 18.589948361388856, 18.36612021594374, 9.992869272581904, 10.159755828074656, 10.59807152913147, 18.998194048895677, 10.110230202868534, 11.835626711228041, 14.052189812626125, 16.38962336255096), # 131
(15.770513124751067, 12.8191648958873, 15.927769096786342, 18.532277816271456, 18.315627372561877, 9.973491582236585, 10.113713008971706, 10.580507151888732, 18.967878665052577, 10.073512391178177, 11.795154871137056, 14.007184265763614, 16.343527647834676), # 132
(15.704592469098595, 12.750316039536544, 15.88624906837857, 18.473501772746012, 18.263792487534637, 9.95376684404568, 10.06718546883058, 10.562936979377039, 18.93704542541735, 10.036337879477578, 11.754173239614829, 13.961420394115667, 16.296269888386057), # 133
(15.63729729949817, 12.68075469647416, 15.843783312294848, 18.413524859722386, 18.210561338099865, 9.933645371107978, 10.020091359002002, 10.545277419232098, 18.905605588373632, 9.998631322666423, 11.712594520579822, 13.914815451043799, 16.24779555574605), # 134
(15.568562157550836, 12.610372177359944, 15.800300888149636, 18.352251706110444, 18.15587970149542, 9.913077476522266, 9.972348830836681, 10.527444879089616, 18.873470412305064, 9.960317375644397, 11.670331417950496, 13.867286689909534, 16.198050121455637), # 135
(15.498321584857623, 12.539059792853687, 15.755730855557415, 18.28958694082003, 18.09969335495913, 9.892013473387332, 9.923876035685343, 10.509355766585298, 18.840551155595293, 9.92132069331118, 11.627296635645319, 13.818751364074394, 16.146979057055766), # 136
(15.426510123019561, 12.466708853615184, 15.710002274132659, 18.225435192761026, 18.04194807572886, 9.870403674801956, 9.8745911248987, 10.490926489354854, 18.80675907662796, 9.881565930566463, 11.583402877582751, 13.769126726899895, 16.094527834087398), # 137
(15.353062313637686, 12.393210670304235, 15.66304420348983, 18.159701090843274, 17.982589641042455, 9.848198393864935, 9.824412249827468, 10.472073455033982, 18.772005433786706, 9.840977742309924, 11.538562847681254, 13.718330031747561, 16.040641924091503), # 138
(15.277912698313022, 12.31845655358063, 15.614785703243411, 18.092289263976646, 17.921563828137746, 9.825347943675048, 9.773257561822367, 10.452713071258394, 18.73620148545517, 9.799480783441254, 11.492689249859293, 13.66627853197891, 15.985266798609034), # 139
(15.200995818646616, 12.242337814104165, 15.565155833007877, 18.023104341071, 17.858816414252605, 9.801802637331082, 9.721045212234115, 10.432761745663793, 18.699258490016998, 9.756999708860134, 11.445694788035329, 13.612889480955465, 15.928347929180966), # 140
(15.122246216239494, 12.164745762534638, 15.514083652397689, 17.952050951036195, 17.794293176624855, 9.777512787931828, 9.667693352413432, 10.412135885885887, 18.661087705855824, 9.713459173466253, 11.39749216612783, 13.558080132038745, 15.869830787348244), # 141
(15.041598432692682, 12.08557170953184, 15.461498221027327, 17.879033722782097, 17.727939892492355, 9.752428708576069, 9.613120133711027, 10.39075189956038, 18.621600391355297, 9.66878383215929, 11.347994088055255, 13.50176773859027, 15.80966084465184), # 142
(14.958987009607215, 12.004706965755565, 15.407328598511267, 17.803957285218555, 17.659702339092952, 9.726500712362592, 9.557243707477623, 10.368526194322978, 18.580707804899063, 9.622898339838935, 11.297113257736068, 13.443869553971561, 15.747783572632711), # 143
(14.874346488584132, 11.922042841865615, 15.35150384446397, 17.72672626725544, 17.58952629366449, 9.699679112390184, 9.499982225063938, 10.34537517780939, 18.53832120487076, 9.575727351404868, 11.244762379088732, 13.384302831544138, 15.684144442831826), # 144
(14.787611411224459, 11.837470648521778, 15.29395301849992, 17.64724529780261, 17.51735753344482, 9.671914221757634, 9.441253837820689, 10.321215257655316, 18.494351849654016, 9.527195521756779, 11.190854156031712, 13.322984824669524, 15.618688926790139), # 145
(14.69871631912923, 11.750881696383855, 15.23460518023359, 17.565419005769925, 17.443141835671785, 9.643156353563725, 9.380976697098594, 10.295962841496468, 18.448710997632492, 9.477227505794348, 11.135301292483467, 13.259832786709236, 15.551362496048613), # 146
(14.607595753899481, 11.662167296111635, 15.173389389279437, 17.481152020067245, 17.36682497758323, 9.613355820907245, 9.319068954248365, 10.269534336968547, 18.401309907189823, 9.425747958417263, 11.078016492362465, 13.194763971024798, 15.482110622148213), # 147
(14.51418425713624, 11.571218758364918, 15.11023470525195, 17.394348969604433, 17.28835273641701, 9.582462936886982, 9.255448760620729, 10.241846151707264, 18.352059836709653, 9.372681534525205, 11.018912459587169, 13.127695630977726, 15.410878776629895), # 148
(14.418416370440541, 11.477927393803494, 15.045070187765598, 17.304914483291345, 17.207670889410966, 9.550428014601719, 9.190034267566393, 10.21281469334832, 18.30087204457561, 9.317952889017864, 10.957901898076038, 13.058545019929545, 15.337612431034628), # 149
(14.320226635413416, 11.382184513087163, 14.97782489643485, 17.212753190037848, 17.124725213802947, 9.517201367150248, 9.122743626436081, 10.182356369527422, 18.247657789171353, 9.261486676794918, 10.894897511747537, 12.987229391241772, 15.262257056903364), # 150
(14.219549593655895, 11.283881426875716, 14.908427890874176, 17.117769718753795, 17.0394614868308, 9.48273330763135, 9.05349498858051, 10.150387587880278, 18.19232832888052, 9.20320755275606, 10.829812004520129, 12.91366599827593, 15.184758125777073), # 151
(14.116319786769019, 11.182909445828951, 14.836808230698063, 17.019868698349054, 16.951825485732364, 9.446974149143815, 8.982206505350396, 10.116824756042595, 18.134794922086748, 9.143040171800969, 10.762558080312278, 12.837772094393538, 15.105061109196717), # 152
(14.010471756353809, 11.079159880606662, 14.762894975520963, 16.91895475773348, 16.8617629877455, 9.409874204786428, 8.908796328096455, 10.081584281650072, 18.07496882717368, 9.080909188829333, 10.693048443042448, 12.759464932956115, 15.02311147870325), # 153
(13.901940044011312, 10.972524041868644, 14.686617184957365, 16.81493252581694, 16.769219770108045, 9.371383787657978, 8.83318260816941, 10.044582572338422, 18.01276130252496, 9.016739258740834, 10.6211957966291, 12.678661767325185, 14.938854705837642), # 154
(13.790659191342543, 10.86289324027469, 14.607903918621735, 16.707706631509282, 16.674141610057855, 9.331453210857248, 8.75528349691997, 10.005736035743345, 17.948083606524232, 8.950455036435159, 10.5469128449907, 12.595279850862267, 14.852236262140847), # 155
(13.676563739948545, 10.750158786484597, 14.526684236128547, 16.597181703720377, 16.576474284832766, 9.29003278748303, 8.67501714569886, 9.964961079500554, 17.88084699755513, 8.88198117681199, 10.470112292045709, 12.50923643692888, 14.763201619153833), # 156
(13.559588231430352, 10.634211991158162, 14.442887197092272, 16.483262371360087, 16.476163571670632, 9.247072830634105, 8.592301705856794, 9.922174111245749, 17.8109627340013, 8.811242334771014, 10.39070684171259, 12.420448778886547, 14.671696248417557), # 157
(13.43642570352943, 10.512815617390064, 14.352465517024239, 16.36158524697224, 16.368625990567796, 9.199844057370798, 8.505192097670143, 9.87443451422887, 17.732991764878374, 8.73605864932406, 10.306072354570096, 12.32567921554981, 14.573674546947622), # 158
(13.288116180561124, 10.37351757527906, 14.232128073125379, 16.207158885819215, 16.22734435760693, 9.132641366412786, 8.40278297409429, 9.804984358975888, 17.61556907019986, 8.644105789377742, 10.20135048411419, 12.206452542629595, 14.445769764456351), # 159
(13.112769770827757, 10.215174111373285, 14.0794577243206, 16.017439518735948, 16.04955623642423, 9.043814332885832, 8.284038747090811, 9.712078541149223, 17.455365409011574, 8.534170173353209, 10.075067115497172, 12.060903507998123, 14.285557096008445), # 160
(12.911799698254727, 10.038817562544844, 13.896084549438555, 15.79423050676211, 15.837107623707803, 8.934439034826566, 8.149826602812377, 9.596880959597605, 17.254493580598233, 8.407184747707687, 9.928334978279473, 11.890381444033627, 14.094673280674375), # 161
(12.686619186767443, 9.84548026566583, 13.683638627307893, 15.539335210937388, 15.591844516145768, 8.80559155027162, 8.001013727411657, 9.460555513169764, 17.015066384244545, 8.264082458898416, 9.762266802021516, 11.696235683114327, 13.874755057524599), # 162
(12.438641460291295, 9.636194557608343, 13.443750036757264, 15.254556992301481, 15.315612910426239, 8.65834795725763, 7.838467307041322, 9.304266100714425, 16.73919661923523, 8.105796253382625, 9.577975316283736, 11.479815557618458, 13.627439165629584), # 163
(12.16927974275169, 9.411992775244478, 13.178048856615318, 14.941699211894072, 15.01025880323734, 8.493784333821234, 7.663054527854039, 9.129176621080324, 16.428997084855002, 7.933259077617543, 9.376573250626553, 11.242470399924246, 13.35436234405979), # 164
(11.879947258074031, 9.173907255446338, 12.888165165710705, 14.602565230754854, 14.677628191267182, 8.312976757999055, 7.475642576002479, 8.936450973116184, 16.086580580388564, 7.747403878060404, 9.1591733346104, 10.985549542409915, 13.057161331885686), # 165
(11.572057230183715, 8.922970335086019, 12.57572904287207, 14.238958409923503, 14.319567071203886, 8.117001307827735, 7.277098637639315, 8.727253055670738, 15.714059905120632, 7.549163601168441, 8.926888297795703, 10.710402317453703, 12.737472868177733), # 166
(11.24702288300614, 8.660214351035616, 12.242370566928068, 13.852682110439718, 13.937921439735565, 7.906934061343905, 7.0682898989172145, 8.502746767592717, 15.31354785833592, 7.339471193398886, 8.680830869742888, 10.418378057433825, 12.396933692006392), # 167
(10.906257440466712, 8.386671640167231, 11.889719816707347, 13.445539693343184, 13.534537293550335, 7.683851096584198, 6.850083545988848, 8.264096007730847, 14.887157239319139, 7.11925960120897, 8.422113780012385, 10.11082609472852, 12.037180542442131), # 168
(10.551174126490828, 8.103374539352963, 11.519406871038555, 13.019334519673588, 13.111260629336316, 7.4488284915852505, 6.623346765006885, 8.012464674933861, 14.437000847355009, 6.889461771055926, 8.151849758164623, 9.78909576171601, 11.659850158555415), # 169
(10.18318616500389, 7.811355385464907, 11.133061808750343, 12.575869950470615, 12.66993744378162, 7.2029423243836925, 6.388946742123995, 7.749016668050485, 13.96519148172823, 6.6510106493969845, 7.871151533760029, 9.454536390774527, 11.2665792794167), # 170
(9.8037067799313, 7.511646515375161, 10.73231470867136, 12.116949346773964, 12.21241373357437, 6.947268673016157, 6.147750663492849, 7.47491588592945, 13.47384194172352, 6.404839182689379, 7.581131836359027, 9.108497314282296, 10.859004644096458), # 171
(9.414149195198457, 7.205280265955825, 10.318795649630257, 11.644376069623315, 11.740535495402677, 6.682883615519281, 5.900625715266118, 7.191326227419487, 12.965065026625595, 6.151880317390344, 7.282903395522049, 8.752327864617548, 10.438762991665145), # 172
(9.015926634730764, 6.893288974078996, 9.894134710455681, 11.159953480058356, 11.256148725954663, 6.410863229929695, 5.64843908359647, 6.899411591369322, 12.440973535719161, 5.893066999957107, 6.97757894080952, 8.387377374158506, 10.007491061193234), # 173
(8.610452322453618, 6.576704976616772, 9.459961969976282, 10.665484939118773, 10.76109942191844, 6.132283594284034, 5.3920579546365754, 6.600335876627689, 11.903680268288936, 5.629332176846904, 6.66627120178187, 8.014995175283403, 9.566825591751181), # 174
(8.19913948229242, 6.256560610441251, 9.017907507020714, 10.162773807844262, 10.257233579982124, 5.848220786618931, 5.132349514539104, 6.295262982043313, 11.35529802361963, 5.361608794516964, 6.3500929079995245, 7.636530600370466, 9.118403322409455), # 175
(7.783401338172574, 5.933888212424531, 8.569601400417621, 9.653623447274505, 9.746397196833835, 5.55975088497102, 4.870180949456727, 5.985356806464928, 10.797939600995955, 5.090829799424521, 6.0301567890229135, 7.253332981797922, 8.663860992238513), # 176
(7.364651114019479, 5.6097201194387125, 8.116673728995655, 9.13983721844919, 9.230436269161691, 5.267949967376934, 4.606419445542112, 5.671781248741259, 10.233717799702626, 4.817928138026804, 5.7075755744124645, 6.866751651944002, 8.204835340308824), # 177
(6.944302033758534, 5.285088668355891, 7.660754571583465, 8.623218482408008, 8.711196793653805, 4.973894111873309, 4.341932188947932, 5.355700207721038, 9.664745419024355, 4.54383675678105, 5.383461993728603, 6.478135943186929, 7.742963105690853), # 178
(0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0), # 179
)
passenger_arriving_acc = (
(11, 2, 10, 10, 2, 7, 5, 3, 1, 1, 1, 2, 0, 11, 5, 5, 9, 6, 7, 6, 1, 4, 3, 1, 1, 0), # 0
(22, 12, 24, 17, 8, 8, 10, 6, 4, 2, 1, 4, 0, 20, 11, 12, 18, 13, 11, 9, 1, 6, 5, 1, 5, 0), # 1
(29, 26, 33, 28, 17, 13, 15, 12, 11, 3, 2, 7, 0, 29, 18, 19, 25, 21, 18, 11, 3, 10, 12, 3, 6, 0), # 2
(44, 35, 37, 38, 26, 16, 20, 16, 12, 6, 2, 7, 0, 37, 29, 29, 32, 30, 24, 20, 6, 13, 15, 4, 6, 0), # 3
(57, 46, 45, 47, 35, 19, 27, 17, 17, 12, 2, 8, 0, 48, 38, 37, 36, 35, 30, 26, 8, 16, 17, 8, 6, 0), # 4
(66, 57, 56, 55, 44, 23, 33, 21, 22, 15, 3, 10, 0, 58, 51, 44, 44, 40, 36, 31, 12, 19, 22, 11, 8, 0), # 5
(77, 72, 64, 65, 56, 28, 39, 30, 28, 19, 4, 10, 0, 73, 65, 49, 54, 51, 40, 38, 14, 26, 25, 13, 8, 0), # 6
(86, 94, 69, 76, 67, 29, 40, 35, 35, 21, 5, 11, 0, 82, 78, 61, 60, 62, 50, 44, 16, 37, 31, 18, 9, 0), # 7
(105, 107, 82, 88, 76, 34, 43, 41, 44, 24, 5, 14, 0, 99, 91, 71, 69, 69, 54, 45, 20, 41, 36, 24, 11, 0), # 8
(114, 121, 97, 111, 88, 43, 51, 49, 52, 27, 8, 14, 0, 112, 100, 85, 76, 84, 62, 53, 22, 45, 43, 27, 14, 0), # 9
(121, 135, 107, 127, 102, 43, 55, 56, 61, 30, 9, 15, 0, 130, 111, 91, 84, 99, 74, 61, 24, 53, 50, 29, 14, 0), # 10
(134, 145, 125, 139, 121, 52, 57, 64, 74, 31, 12, 17, 0, 151, 130, 105, 88, 119, 86, 66, 30, 59, 55, 30, 16, 0), # 11
(142, 162, 140, 155, 133, 58, 60, 72, 77, 33, 12, 19, 0, 163, 143, 115, 96, 122, 95, 74, 34, 65, 60, 30, 18, 0), # 12
(166, 181, 151, 164, 138, 63, 69, 75, 81, 35, 13, 19, 0, 174, 154, 125, 105, 129, 106, 76, 37, 75, 65, 31, 21, 0), # 13
(177, 201, 163, 184, 151, 67, 74, 80, 83, 37, 17, 20, 0, 183, 182, 142, 116, 141, 115, 77, 40, 84, 72, 34, 23, 0), # 14
(197, 212, 180, 203, 174, 75, 78, 85, 89, 39, 20, 20, 0, 202, 197, 160, 126, 156, 125, 88, 45, 89, 78, 37, 25, 0), # 15
(211, 226, 192, 221, 186, 80, 86, 90, 95, 40, 21, 21, 0, 216, 212, 180, 132, 173, 127, 91, 52, 96, 87, 38, 25, 0), # 16
(225, 245, 209, 237, 201, 83, 96, 95, 99, 40, 26, 23, 0, 233, 231, 186, 148, 192, 135, 100, 56, 105, 90, 42, 27, 0), # 17
(249, 261, 227, 260, 218, 88, 102, 103, 107, 44, 30, 24, 0, 250, 249, 197, 160, 210, 142, 109, 63, 111, 94, 46, 28, 0), # 18
(270, 281, 235, 275, 236, 92, 112, 110, 113, 49, 31, 26, 0, 269, 263, 215, 172, 223, 149, 116, 67, 118, 101, 53, 28, 0), # 19
(288, 300, 253, 291, 248, 96, 115, 116, 114, 56, 33, 34, 0, 294, 279, 227, 186, 240, 153, 123, 71, 125, 106, 56, 29, 0), # 20
(306, 320, 263, 310, 265, 102, 123, 126, 122, 60, 33, 34, 0, 321, 291, 240, 199, 257, 163, 127, 75, 132, 114, 58, 30, 0), # 21
(323, 338, 278, 325, 279, 107, 133, 133, 131, 63, 37, 36, 0, 347, 306, 251, 208, 274, 169, 135, 78, 141, 119, 62, 31, 0), # 22
(342, 361, 292, 340, 291, 108, 141, 138, 136, 67, 39, 38, 0, 370, 323, 267, 222, 287, 181, 138, 82, 146, 123, 64, 32, 0), # 23
(359, 382, 309, 359, 308, 115, 150, 143, 145, 75, 41, 38, 0, 395, 346, 283, 235, 302, 193, 141, 87, 154, 126, 67, 33, 0), # 24
(374, 400, 325, 380, 321, 119, 157, 149, 151, 79, 41, 39, 0, 412, 364, 295, 247, 323, 206, 144, 92, 159, 130, 68, 36, 0), # 25
(395, 425, 338, 390, 334, 126, 166, 157, 158, 83, 43, 39, 0, 435, 377, 305, 260, 333, 220, 152, 99, 167, 135, 69, 37, 0), # 26
(413, 450, 357, 410, 345, 129, 170, 168, 169, 87, 44, 40, 0, 456, 396, 317, 274, 344, 233, 156, 103, 175, 138, 75, 40, 0), # 27
(431, 472, 371, 436, 358, 140, 178, 174, 174, 91, 45, 41, 0, 475, 411, 330, 283, 356, 240, 165, 106, 180, 144, 79, 41, 0), # 28
(456, 483, 398, 448, 374, 148, 187, 183, 183, 92, 46, 41, 0, 492, 424, 344, 291, 370, 246, 168, 108, 186, 152, 83, 42, 0), # 29
(476, 502, 412, 468, 385, 154, 196, 189, 194, 94, 49, 42, 0, 507, 437, 351, 302, 380, 258, 175, 111, 192, 162, 85, 43, 0), # 30
(491, 524, 430, 487, 398, 164, 206, 196, 199, 98, 51, 44, 0, 524, 458, 356, 316, 392, 267, 184, 118, 198, 167, 85, 44, 0), # 31
(516, 539, 448, 512, 404, 171, 213, 201, 203, 101, 57, 46, 0, 553, 473, 366, 328, 414, 274, 194, 122, 209, 169, 87, 45, 0), # 32
(524, 554, 458, 523, 413, 181, 217, 209, 208, 105, 57, 47, 0, 572, 487, 385, 343, 431, 279, 201, 125, 214, 180, 91, 47, 0), # 33
(540, 576, 472, 539, 426, 191, 220, 216, 217, 108, 58, 49, 0, 594, 499, 391, 357, 441, 287, 206, 128, 222, 187, 93, 49, 0), # 34
(553, 589, 485, 555, 440, 198, 226, 221, 230, 110, 60, 52, 0, 611, 517, 405, 371, 448, 292, 211, 133, 232, 191, 96, 51, 0), # 35
(571, 612, 498, 577, 457, 202, 234, 229, 240, 113, 62, 52, 0, 630, 528, 420, 378, 469, 301, 217, 137, 244, 195, 101, 52, 0), # 36
(595, 632, 514, 588, 467, 209, 241, 233, 246, 117, 65, 52, 0, 649, 543, 438, 387, 484, 311, 223, 139, 250, 201, 102, 53, 0), # 37
(611, 658, 536, 601, 485, 214, 246, 239, 251, 120, 67, 54, 0, 663, 555, 451, 398, 502, 320, 228, 143, 252, 209, 106, 53, 0), # 38
(624, 674, 558, 622, 493, 221, 257, 247, 258, 124, 68, 56, 0, 681, 567, 462, 406, 523, 332, 230, 147, 259, 212, 107, 54, 0), # 39
(643, 694, 570, 634, 504, 229, 264, 252, 265, 125, 72, 56, 0, 700, 583, 472, 415, 539, 343, 236, 157, 266, 217, 108, 54, 0), # 40
(662, 707, 582, 648, 516, 237, 273, 259, 270, 127, 73, 57, 0, 725, 598, 493, 423, 546, 347, 246, 166, 273, 225, 110, 54, 0), # 41
(674, 726, 587, 664, 529, 246, 279, 269, 276, 128, 75, 61, 0, 743, 612, 500, 432, 570, 353, 253, 171, 274, 228, 113, 55, 0), # 42
(688, 758, 595, 683, 541, 256, 284, 275, 279, 129, 76, 65, 0, 763, 628, 510, 442, 582, 357, 262, 177, 275, 230, 115, 56, 0), # 43
(707, 775, 618, 711, 556, 262, 292, 279, 282, 132, 80, 67, 0, 784, 637, 525, 445, 597, 364, 265, 183, 286, 236, 116, 59, 0), # 44
(718, 792, 633, 726, 566, 265, 295, 284, 290, 133, 81, 70, 0, 799, 652, 540, 455, 611, 374, 272, 187, 296, 241, 121, 63, 0), # 45
(736, 813, 646, 743, 581, 268, 302, 291, 298, 137, 82, 74, 0, 821, 667, 558, 462, 628, 383, 277, 190, 303, 249, 125, 67, 0), # 46
(748, 833, 656, 765, 598, 275, 312, 294, 310, 142, 84, 75, 0, 838, 685, 567, 472, 641, 400, 286, 192, 306, 255, 129, 68, 0), # 47
(766, 852, 676, 792, 611, 284, 317, 298, 317, 147, 85, 76, 0, 857, 706, 582, 484, 649, 411, 293, 197, 317, 260, 129, 71, 0), # 48
(784, 865, 689, 801, 620, 291, 326, 310, 324, 152, 87, 77, 0, 867, 725, 595, 496, 669, 420, 296, 200, 327, 261, 131, 73, 0), # 49
(804, 880, 701, 821, 631, 304, 329, 314, 329, 154, 88, 81, 0, 890, 738, 607, 507, 685, 429, 307, 209, 333, 266, 136, 73, 0), # 50
(818, 896, 711, 836, 641, 316, 336, 321, 333, 156, 90, 83, 0, 913, 757, 617, 522, 697, 443, 312, 212, 334, 270, 138, 73, 0), # 51
(840, 914, 727, 849, 648, 324, 343, 329, 340, 161, 92, 84, 0, 930, 771, 632, 529, 714, 454, 317, 216, 340, 273, 140, 77, 0), # 52
(853, 930, 741, 863, 658, 326, 349, 332, 346, 166, 93, 88, 0, 946, 784, 638, 536, 729, 462, 324, 221, 347, 277, 147, 78, 0), # 53
(874, 946, 756, 876, 673, 332, 351, 335, 351, 169, 94, 92, 0, 971, 799, 650, 547, 747, 473, 336, 226, 354, 280, 152, 80, 0), # 54
(893, 964, 770, 884, 682, 338, 361, 342, 357, 172, 102, 93, 0, 988, 811, 668, 554, 761, 482, 344, 230, 360, 285, 153, 82, 0), # 55
(919, 979, 785, 903, 694, 341, 368, 347, 364, 175, 106, 93, 0, 998, 824, 678, 566, 780, 490, 349, 235, 370, 293, 158, 84, 0), # 56
(936, 991, 798, 920, 710, 348, 376, 352, 374, 178, 107, 95, 0, 1014, 837, 689, 574, 794, 493, 353, 243, 372, 299, 161, 85, 0), # 57
(953, 1000, 810, 943, 720, 353, 382, 357, 381, 181, 107, 97, 0, 1041, 858, 704, 586, 807, 503, 357, 248, 375, 307, 164, 87, 0), # 58
(970, 1016, 825, 968, 738, 358, 391, 363, 393, 186, 109, 98, 0, 1063, 875, 717, 595, 815, 510, 364, 253, 379, 311, 166, 88, 0), # 59
(987, 1029, 837, 981, 753, 366, 398, 365, 400, 187, 112, 99, 0, 1072, 890, 737, 605, 830, 516, 371, 263, 386, 316, 168, 91, 0), # 60
(1006, 1049, 853, 1001, 765, 378, 403, 370, 408, 191, 113, 101, 0, 1088, 907, 748, 611, 843, 522, 387, 269, 391, 320, 171, 94, 0), # 61
(1021, 1069, 863, 1016, 783, 383, 415, 376, 416, 192, 116, 103, 0, 1107, 925, 756, 622, 858, 527, 389, 274, 396, 327, 174, 95, 0), # 62
(1031, 1082, 876, 1029, 801, 389, 422, 380, 423, 198, 118, 104, 0, 1130, 940, 769, 630, 874, 534, 393, 277, 399, 332, 176, 97, 0), # 63
(1055, 1097, 895, 1038, 809, 392, 427, 382, 428, 199, 120, 105, 0, 1141, 956, 792, 641, 884, 546, 399, 281, 403, 335, 178, 97, 0), # 64
(1075, 1116, 907, 1050, 821, 398, 432, 384, 440, 202, 122, 106, 0, 1158, 966, 804, 656, 900, 561, 402, 285, 411, 342, 180, 99, 0), # 65
(1097, 1130, 921, 1066, 837, 403, 435, 388, 449, 205, 123, 108, 0, 1182, 982, 821, 667, 910, 568, 409, 286, 419, 356, 184, 100, 0), # 66
(1114, 1148, 941, 1083, 852, 413, 444, 396, 454, 209, 125, 108, 0, 1197, 1004, 834, 683, 929, 573, 413, 289, 429, 359, 185, 102, 0), # 67
(1134, 1162, 952, 1103, 863, 417, 451, 402, 461, 211, 126, 110, 0, 1217, 1019, 854, 696, 945, 578, 420, 291, 438, 368, 190, 104, 0), # 68
(1157, 1189, 966, 1122, 885, 425, 453, 407, 464, 216, 128, 110, 0, 1231, 1034, 865, 705, 959, 582, 425, 295, 444, 371, 194, 106, 0), # 69
(1170, 1207, 982, 1139, 898, 432, 457, 413, 470, 218, 132, 110, 0, 1246, 1048, 878, 718, 974, 593, 434, 299, 452, 376, 197, 107, 0), # 70
(1182, 1237, 997, 1154, 913, 441, 467, 420, 477, 222, 135, 112, 0, 1271, 1067, 893, 730, 986, 599, 438, 306, 455, 381, 197, 108, 0), # 71
(1195, 1248, 1010, 1167, 922, 452, 475, 424, 482, 225, 136, 112, 0, 1295, 1078, 912, 736, 1002, 604, 443, 310, 465, 383, 202, 109, 0), # 72
(1211, 1268, 1022, 1183, 933, 461, 478, 431, 489, 228, 139, 113, 0, 1307, 1093, 928, 743, 1020, 609, 450, 316, 472, 391, 205, 111, 0), # 73
(1223, 1280, 1039, 1205, 939, 463, 486, 436, 494, 233, 140, 113, 0, 1318, 1103, 940, 759, 1029, 618, 452, 323, 481, 397, 208, 112, 0), # 74
(1245, 1296, 1057, 1217, 956, 472, 491, 441, 498, 235, 142, 113, 0, 1337, 1116, 949, 769, 1046, 631, 461, 325, 482, 398, 215, 115, 0), # 75
(1258, 1313, 1064, 1232, 971, 479, 497, 445, 500, 238, 144, 114, 0, 1352, 1129, 955, 780, 1062, 639, 464, 330, 492, 403, 218, 116, 0), # 76
(1274, 1326, 1078, 1242, 986, 488, 505, 449, 504, 240, 147, 115, 0, 1373, 1149, 965, 790, 1076, 650, 474, 336, 501, 410, 220, 116, 0), # 77
(1286, 1337, 1099, 1262, 999, 497, 508, 456, 508, 241, 149, 117, 0, 1387, 1168, 980, 796, 1088, 656, 479, 339, 507, 414, 223, 116, 0), # 78
(1299, 1350, 1111, 1280, 1012, 504, 514, 458, 515, 243, 152, 120, 0, 1409, 1183, 991, 800, 1104, 662, 482, 346, 515, 419, 227, 117, 0), # 79
(1323, 1360, 1129, 1298, 1025, 508, 523, 467, 518, 245, 153, 121, 0, 1430, 1207, 1003, 816, 1112, 667, 491, 349, 526, 426, 228, 117, 0), # 80
(1345, 1375, 1141, 1310, 1042, 515, 532, 471, 526, 249, 153, 121, 0, 1452, 1219, 1013, 824, 1126, 675, 503, 355, 532, 435, 233, 118, 0), # 81
(1367, 1393, 1154, 1331, 1049, 521, 538, 474, 535, 253, 153, 122, 0, 1466, 1236, 1024, 834, 1138, 683, 514, 359, 536, 443, 236, 121, 0), # 82
(1383, 1407, 1166, 1343, 1067, 530, 544, 479, 538, 256, 154, 122, 0, 1488, 1249, 1035, 846, 1157, 692, 519, 362, 543, 447, 240, 125, 0), # 83
(1398, 1414, 1179, 1361, 1079, 536, 551, 485, 542, 263, 156, 122, 0, 1507, 1267, 1046, 854, 1168, 696, 526, 368, 552, 449, 242, 126, 0), # 84
(1415, 1424, 1197, 1381, 1094, 539, 555, 491, 549, 266, 160, 123, 0, 1524, 1274, 1061, 861, 1185, 704, 530, 375, 560, 457, 246, 128, 0), # 85
(1442, 1445, 1203, 1394, 1103, 542, 566, 496, 558, 273, 162, 123, 0, 1535, 1292, 1074, 870, 1197, 709, 538, 379, 564, 463, 253, 128, 0), # 86
(1462, 1462, 1217, 1411, 1111, 554, 568, 502, 564, 275, 166, 126, 0, 1555, 1303, 1081, 883, 1219, 715, 543, 384, 574, 469, 253, 129, 0), # 87
(1486, 1473, 1226, 1430, 1127, 564, 570, 504, 571, 279, 171, 127, 0, 1570, 1314, 1093, 890, 1225, 719, 545, 391, 577, 472, 257, 129, 0), # 88
(1505, 1486, 1237, 1447, 1133, 569, 575, 511, 578, 285, 175, 127, 0, 1589, 1334, 1102, 902, 1241, 725, 549, 395, 585, 479, 260, 129, 0), # 89
(1516, 1508, 1249, 1462, 1148, 580, 579, 516, 584, 286, 179, 127, 0, 1607, 1347, 1109, 909, 1256, 732, 556, 396, 590, 487, 261, 130, 0), # 90
(1532, 1515, 1263, 1474, 1163, 585, 587, 517, 587, 290, 181, 127, 0, 1624, 1358, 1116, 922, 1273, 741, 565, 399, 600, 494, 266, 133, 0), # 91
(1541, 1529, 1270, 1490, 1170, 588, 596, 525, 597, 291, 181, 128, 0, 1644, 1372, 1129, 933, 1286, 753, 573, 407, 605, 498, 267, 135, 0), # 92
(1555, 1547, 1288, 1500, 1185, 592, 600, 533, 606, 293, 182, 130, 0, 1662, 1382, 1148, 939, 1303, 757, 577, 408, 614, 505, 268, 136, 0), # 93
(1577, 1563, 1298, 1518, 1198, 598, 606, 537, 610, 295, 183, 131, 0, 1676, 1394, 1161, 949, 1321, 762, 583, 416, 623, 511, 271, 137, 0), # 94
(1596, 1579, 1313, 1528, 1210, 604, 611, 545, 616, 301, 187, 133, 0, 1695, 1412, 1172, 960, 1331, 768, 586, 418, 630, 517, 278, 137, 0), # 95
(1610, 1595, 1330, 1538, 1220, 610, 615, 548, 622, 303, 190, 137, 0, 1710, 1425, 1182, 967, 1339, 777, 589, 424, 639, 523, 279, 137, 0), # 96
(1627, 1606, 1346, 1557, 1239, 620, 619, 553, 626, 309, 190, 139, 0, 1734, 1439, 1192, 978, 1353, 786, 594, 425, 653, 532, 282, 138, 0), # 97
(1650, 1612, 1362, 1562, 1249, 624, 627, 560, 634, 310, 192, 139, 0, 1764, 1456, 1208, 984, 1363, 791, 601, 428, 661, 541, 285, 140, 0), # 98
(1671, 1625, 1371, 1586, 1264, 628, 634, 567, 640, 311, 193, 140, 0, 1784, 1472, 1219, 991, 1377, 804, 603, 433, 671, 544, 287, 141, 0), # 99
(1693, 1634, 1383, 1603, 1280, 630, 638, 576, 645, 313, 196, 140, 0, 1804, 1488, 1231, 1002, 1386, 812, 611, 437, 676, 549, 291, 142, 0), # 100
(1711, 1648, 1396, 1616, 1291, 634, 652, 582, 650, 319, 198, 141, 0, 1824, 1508, 1241, 1015, 1396, 815, 616, 442, 687, 553, 295, 146, 0), # 101
(1730, 1659, 1412, 1634, 1301, 637, 659, 587, 659, 323, 200, 144, 0, 1846, 1518, 1251, 1022, 1407, 821, 622, 444, 688, 554, 297, 146, 0), # 102
(1740, 1671, 1429, 1648, 1313, 642, 662, 594, 667, 328, 202, 145, 0, 1867, 1532, 1265, 1027, 1416, 827, 623, 447, 693, 558, 302, 147, 0), # 103
(1766, 1680, 1443, 1663, 1323, 645, 667, 597, 675, 331, 203, 145, 0, 1880, 1549, 1278, 1034, 1426, 831, 632, 453, 699, 562, 303, 149, 0), # 104
(1789, 1695, 1448, 1678, 1331, 651, 672, 606, 683, 335, 205, 146, 0, 1897, 1561, 1291, 1037, 1436, 835, 635, 457, 704, 562, 307, 151, 0), # 105
(1810, 1710, 1462, 1692, 1339, 659, 678, 614, 689, 342, 205, 146, 0, 1916, 1578, 1301, 1049, 1443, 839, 642, 460, 713, 568, 308, 153, 0), # 106
(1822, 1721, 1474, 1708, 1343, 666, 685, 615, 694, 343, 206, 146, 0, 1933, 1587, 1314, 1060, 1457, 845, 649, 467, 721, 571, 312, 154, 0), # 107
(1835, 1738, 1486, 1718, 1350, 671, 692, 621, 699, 349, 210, 149, 0, 1947, 1605, 1321, 1067, 1467, 850, 654, 470, 731, 575, 315, 154, 0), # 108
(1854, 1749, 1500, 1745, 1365, 675, 701, 623, 707, 355, 210, 151, 0, 1966, 1614, 1333, 1077, 1479, 856, 663, 474, 737, 581, 321, 156, 0), # 109
(1871, 1759, 1518, 1758, 1378, 683, 708, 629, 714, 356, 214, 151, 0, 1983, 1625, 1345, 1084, 1487, 861, 672, 477, 745, 583, 325, 156, 0), # 110
(1883, 1769, 1538, 1771, 1387, 687, 716, 637, 720, 363, 216, 154, 0, 2003, 1644, 1357, 1092, 1501, 864, 676, 485, 750, 590, 329, 157, 0), # 111
(1898, 1779, 1551, 1788, 1402, 691, 725, 640, 731, 366, 219, 155, 0, 2025, 1655, 1365, 1102, 1509, 868, 680, 492, 753, 594, 332, 158, 0), # 112
(1908, 1797, 1569, 1799, 1418, 697, 728, 644, 737, 366, 222, 155, 0, 2038, 1664, 1377, 1111, 1521, 875, 682, 498, 755, 602, 334, 158, 0), # 113
(1924, 1813, 1584, 1809, 1428, 705, 739, 652, 741, 368, 222, 156, 0, 2061, 1676, 1384, 1121, 1533, 879, 687, 503, 762, 604, 336, 159, 0), # 114
(1944, 1822, 1597, 1828, 1439, 713, 742, 658, 748, 371, 225, 157, 0, 2077, 1693, 1390, 1124, 1548, 887, 691, 506, 766, 609, 338, 159, 0), # 115
(1968, 1838, 1611, 1840, 1452, 716, 754, 661, 750, 374, 225, 159, 0, 2088, 1704, 1404, 1129, 1565, 895, 697, 510, 773, 613, 339, 161, 0), # 116
(1978, 1851, 1630, 1853, 1466, 724, 759, 669, 752, 378, 226, 159, 0, 2114, 1716, 1412, 1137, 1577, 897, 702, 515, 782, 615, 344, 161, 0), # 117
(1990, 1864, 1642, 1868, 1483, 733, 767, 674, 754, 383, 227, 159, 0, 2126, 1729, 1420, 1145, 1592, 902, 703, 519, 787, 624, 345, 164, 0), # 118
(2005, 1876, 1655, 1880, 1491, 737, 773, 678, 762, 384, 229, 159, 0, 2137, 1745, 1433, 1159, 1603, 912, 708, 525, 794, 626, 347, 164, 0), # 119
(2026, 1890, 1668, 1897, 1503, 744, 782, 682, 768, 386, 231, 160, 0, 2152, 1753, 1444, 1169, 1611, 919, 719, 530, 797, 636, 350, 164, 0), # 120
(2043, 1901, 1679, 1913, 1516, 756, 788, 687, 774, 390, 234, 161, 0, 2174, 1768, 1453, 1172, 1626, 924, 728, 537, 803, 641, 355, 165, 0), # 121
(2054, 1912, 1688, 1927, 1526, 759, 797, 688, 781, 393, 234, 162, 0, 2197, 1780, 1461, 1184, 1639, 932, 733, 541, 809, 647, 356, 165, 0), # 122
(2066, 1927, 1709, 1942, 1543, 770, 799, 693, 786, 394, 234, 163, 0, 2211, 1793, 1467, 1193, 1651, 940, 740, 544, 812, 654, 356, 166, 0), # 123
(2082, 1939, 1723, 1955, 1551, 773, 806, 696, 791, 395, 236, 163, 0, 2231, 1807, 1479, 1198, 1664, 949, 747, 545, 822, 660, 361, 169, 0), # 124
(2099, 1952, 1734, 1967, 1567, 783, 813, 704, 798, 396, 236, 163, 0, 2256, 1816, 1493, 1207, 1682, 954, 752, 547, 826, 666, 364, 170, 0), # 125
(2113, 1962, 1743, 1976, 1577, 789, 818, 711, 805, 397, 238, 163, 0, 2274, 1827, 1506, 1212, 1697, 961, 756, 551, 832, 669, 365, 171, 0), # 126
(2123, 1971, 1757, 1989, 1592, 793, 820, 715, 811, 400, 238, 164, 0, 2290, 1833, 1517, 1218, 1712, 971, 764, 555, 838, 675, 367, 173, 0), # 127
(2138, 1987, 1768, 2002, 1608, 798, 821, 719, 815, 402, 240, 164, 0, 2307, 1852, 1524, 1221, 1717, 978, 770, 560, 846, 679, 368, 174, 0), # 128
(2159, 2003, 1778, 2018, 1625, 805, 827, 725, 821, 405, 243, 166, 0, 2330, 1860, 1534, 1230, 1727, 982, 780, 563, 853, 682, 370, 175, 0), # 129
(2177, 2012, 1791, 2031, 1634, 810, 832, 729, 828, 409, 245, 168, 0, 2345, 1875, 1549, 1239, 1737, 986, 787, 568, 861, 683, 372, 175, 0), # 130
(2197, 2027, 1804, 2046, 1643, 817, 835, 733, 832, 409, 250, 170, 0, 2356, 1886, 1565, 1246, 1752, 990, 791, 574, 864, 688, 373, 176, 0), # 131
(2212, 2037, 1815, 2064, 1654, 826, 842, 738, 835, 410, 253, 170, 0, 2369, 1902, 1574, 1254, 1761, 999, 794, 577, 867, 692, 374, 176, 0), # 132
(2226, 2042, 1827, 2075, 1667, 837, 848, 744, 839, 410, 254, 171, 0, 2386, 1919, 1582, 1261, 1777, 1004, 798, 578, 873, 701, 376, 179, 0), # 133
(2239, 2052, 1840, 2087, 1689, 842, 855, 748, 847, 413, 255, 173, 0, 2409, 1928, 1593, 1267, 1785, 1010, 800, 587, 877, 703, 377, 180, 0), # 134
(2250, 2065, 1852, 2095, 1696, 851, 861, 750, 856, 414, 257, 174, 0, 2425, 1942, 1606, 1272, 1797, 1013, 805, 588, 881, 707, 383, 180, 0), # 135
(2270, 2077, 1860, 2112, 1706, 857, 864, 753, 864, 418, 260, 175, 0, 2437, 1956, 1618, 1280, 1809, 1018, 813, 593, 884, 714, 385, 180, 0), # 136
(2284, 2082, 1872, 2124, 1720, 861, 873, 756, 870, 421, 263, 177, 0, 2452, 1967, 1629, 1288, 1825, 1026, 821, 599, 886, 719, 388, 180, 0), # 137
(2295, 2090, 1887, 2133, 1730, 864, 875, 759, 880, 421, 265, 179, 0, 2471, 1982, 1640, 1299, 1841, 1029, 826, 602, 896, 723, 390, 180, 0), # 138
(2306, 2100, 1898, 2146, 1739, 870, 879, 765, 890, 425, 265, 180, 0, 2487, 1995, 1649, 1302, 1852, 1031, 827, 605, 906, 729, 393, 180, 0), # 139
(2320, 2108, 1910, 2157, 1758, 878, 886, 773, 899, 428, 266, 182, 0, 2500, 2002, 1660, 1308, 1868, 1040, 832, 608, 911, 739, 397, 181, 0), # 140
(2333, 2120, 1917, 2170, 1767, 879, 890, 779, 908, 433, 267, 182, 0, 2517, 2014, 1663, 1318, 1875, 1044, 837, 612, 915, 741, 400, 182, 0), # 141
(2347, 2134, 1923, 2180, 1776, 884, 898, 785, 916, 434, 268, 183, 0, 2538, 2024, 1672, 1324, 1884, 1050, 841, 616, 923, 743, 406, 182, 0), # 142
(2368, 2148, 1944, 2196, 1786, 888, 904, 793, 921, 436, 271, 184, 0, 2554, 2029, 1683, 1326, 1899, 1057, 844, 619, 925, 746, 410, 183, 0), # 143
(2383, 2164, 1953, 2212, 1800, 895, 908, 799, 925, 438, 271, 184, 0, 2572, 2042, 1690, 1330, 1910, 1061, 848, 625, 930, 753, 410, 184, 0), # 144
(2397, 2174, 1961, 2229, 1824, 902, 913, 803, 932, 441, 271, 185, 0, 2589, 2056, 1700, 1337, 1924, 1072, 851, 627, 936, 758, 413, 184, 0), # 145
(2417, 2185, 1976, 2244, 1835, 907, 918, 806, 940, 445, 273, 187, 0, 2605, 2071, 1713, 1346, 1935, 1078, 857, 627, 941, 761, 417, 185, 0), # 146
(2442, 2196, 1985, 2256, 1846, 910, 924, 810, 949, 447, 278, 188, 0, 2626, 2086, 1722, 1350, 1940, 1082, 859, 630, 949, 763, 418, 185, 0), # 147
(2453, 2208, 2001, 2267, 1857, 913, 930, 813, 956, 449, 278, 189, 0, 2642, 2096, 1729, 1353, 1954, 1089, 863, 631, 957, 767, 421, 186, 0), # 148
(2462, 2219, 2011, 2285, 1869, 916, 941, 817, 962, 450, 280, 190, 0, 2657, 2112, 1737, 1362, 1970, 1099, 869, 631, 962, 772, 424, 186, 0), # 149
(2478, 2227, 2025, 2294, 1879, 920, 944, 820, 967, 452, 283, 192, 0, 2671, 2125, 1748, 1372, 1982, 1110, 876, 636, 971, 773, 426, 186, 0), # 150
(2489, 2239, 2034, 2301, 1888, 923, 949, 824, 975, 453, 283, 193, 0, 2686, 2137, 1754, 1376, 1997, 1112, 879, 642, 975, 776, 430, 187, 0), # 151
(2499, 2254, 2039, 2314, 1894, 927, 955, 827, 983, 454, 285, 195, 0, 2697, 2147, 1761, 1380, 2010, 1115, 881, 644, 979, 780, 432, 188, 0), # 152
(2509, 2261, 2052, 2324, 1909, 933, 961, 834, 988, 455, 286, 197, 0, 2706, 2158, 1773, 1385, 2020, 1116, 885, 648, 982, 783, 435, 189, 0), # 153
(2524, 2275, 2061, 2341, 1915, 942, 963, 842, 995, 457, 286, 197, 0, 2715, 2173, 1782, 1392, 2030, 1121, 889, 653, 989, 788, 437, 189, 0), # 154
(2534, 2286, 2070, 2356, 1921, 946, 966, 845, 998, 458, 286, 197, 0, 2735, 2186, 1790, 1401, 2043, 1125, 896, 655, 993, 792, 439, 189, 0), # 155
(2545, 2298, 2087, 2366, 1934, 949, 969, 849, 1003, 463, 289, 198, 0, 2748, 2194, 1798, 1411, 2050, 1131, 896, 657, 1003, 795, 443, 190, 0), # 156
(2551, 2308, 2104, 2375, 1942, 951, 972, 854, 1007, 465, 289, 200, 0, 2764, 2201, 1808, 1419, 2062, 1132, 902, 661, 1008, 799, 444, 190, 0), # 157
(2563, 2319, 2113, 2383, 1956, 957, 976, 859, 1018, 466, 290, 201, 0, 2775, 2213, 1819, 1423, 2072, 1136, 906, 661, 1018, 800, 445, 191, 0), # 158
(2579, 2324, 2128, 2396, 1965, 966, 981, 864, 1022, 471, 292, 201, 0, 2790, 2223, 1827, 1427, 2084, 1145, 912, 663, 1025, 803, 451, 191, 0), # 159
(2589, 2337, 2138, 2407, 1974, 971, 984, 868, 1034, 474, 293, 201, 0, 2802, 2233, 1839, 1432, 2093, 1153, 913, 670, 1028, 811, 456, 192, 0), # 160
(2598, 2344, 2146, 2419, 1985, 977, 988, 870, 1039, 475, 296, 201, 0, 2821, 2239, 1849, 1439, 2100, 1158, 913, 670, 1034, 815, 458, 192, 0), # 161
(2609, 2351, 2161, 2432, 1991, 979, 995, 880, 1048, 475, 297, 202, 0, 2836, 2251, 1854, 1444, 2113, 1173, 919, 675, 1038, 818, 460, 192, 0), # 162
(2621, 2364, 2175, 2444, 1999, 986, 998, 883, 1056, 478, 298, 204, 0, 2846, 2266, 1864, 1450, 2133, 1176, 922, 677, 1045, 821, 461, 192, 0), # 163
(2627, 2370, 2187, 2454, 2005, 992, 1002, 885, 1063, 479, 300, 205, 0, 2866, 2276, 1872, 1455, 2139, 1179, 927, 678, 1053, 824, 463, 193, 0), # 164
(2646, 2381, 2197, 2463, 2015, 998, 1008, 889, 1068, 482, 302, 206, 0, 2880, 2284, 1885, 1463, 2154, 1182, 930, 684, 1057, 828, 464, 193, 0), # 165
(2659, 2388, 2213, 2475, 2021, 1005, 1013, 891, 1072, 484, 306, 206, 0, 2887, 2290, 1891, 1466, 2167, 1189, 934, 689, 1061, 830, 465, 195, 0), # 166
(2675, 2397, 2223, 2485, 2029, 1012, 1015, 898, 1077, 488, 307, 207, 0, 2901, 2300, 1896, 1474, 2175, 1191, 938, 694, 1065, 840, 466, 195, 0), # 167
(2684, 2407, 2238, 2494, 2040, 1014, 1020, 902, 1083, 492, 308, 207, 0, 2915, 2307, 1899, 1479, 2186, 1193, 940, 697, 1075, 844, 466, 196, 0), # 168
(2696, 2414, 2249, 2505, 2055, 1019, 1021, 905, 1084, 492, 309, 207, 0, 2925, 2313, 1902, 1488, 2196, 1198, 947, 698, 1081, 846, 468, 197, 0), # 169
(2708, 2422, 2255, 2521, 2061, 1026, 1021, 907, 1087, 492, 309, 208, 0, 2939, 2325, 1905, 1493, 2202, 1202, 950, 703, 1084, 850, 469, 197, 0), # 170
(2719, 2430, 2263, 2527, 2074, 1029, 1023, 914, 1095, 495, 309, 209, 0, 2951, 2334, 1913, 1497, 2216, 1207, 953, 706, 1088, 852, 471, 197, 0), # 171
(2729, 2435, 2273, 2534, 2081, 1029, 1024, 919, 1099, 496, 309, 210, 0, 2963, 2343, 1918, 1502, 2223, 1211, 956, 710, 1094, 853, 472, 198, 0), # 172
(2735, 2444, 2284, 2542, 2090, 1034, 1027, 921, 1104, 498, 310, 210, 0, 2976, 2352, 1924, 1503, 2234, 1213, 958, 713, 1099, 855, 473, 198, 0), # 173
(2740, 2450, 2293, 2547, 2097, 1037, 1031, 925, 1109, 498, 312, 211, 0, 2988, 2360, 1931, 1504, 2240, 1218, 961, 715, 1101, 856, 474, 198, 0), # 174
(2748, 2454, 2301, 2561, 2101, 1042, 1035, 927, 1110, 500, 312, 212, 0, 2998, 2370, 1934, 1505, 2247, 1221, 965, 717, 1103, 862, 474, 200, 0), # 175
(2751, 2460, 2307, 2572, 2106, 1042, 1042, 929, 1114, 503, 317, 214, 0, 3001, 2381, 1941, 1508, 2254, 1225, 966, 721, 1108, 866, 475, 201, 0), # 176
(2756, 2469, 2312, 2577, 2111, 1049, 1045, 933, 1116, 503, 319, 216, 0, 3008, 2390, 1942, 1508, 2259, 1230, 969, 722, 1112, 868, 476, 201, 0), # 177
(2764, 2476, 2315, 2583, 2122, 1053, 1048, 935, 1118, 504, 320, 216, 0, 3019, 2396, 1945, 1509, 2264, 1231, 971, 722, 1113, 869, 476, 202, 0), # 178
(2764, 2476, 2315, 2583, 2122, 1053, 1048, 935, 1118, 504, 320, 216, 0, 3019, 2396, 1945, 1509, 2264, 1231, 971, 722, 1113, 869, 476, 202, 0), # 179
)
passenger_arriving_rate = (
(9.037558041069182, 9.116726123493724, 7.81692484441876, 8.389801494715634, 6.665622729131535, 3.295587678639206, 3.7314320538365235, 3.4898821297345672, 3.654059437300804, 1.781106756985067, 1.261579549165681, 0.7346872617459261, 0.0, 9.150984382641052, 8.081559879205185, 6.307897745828405, 5.3433202709552, 7.308118874601608, 4.885834981628395, 3.7314320538365235, 2.3539911990280045, 3.3328113645657673, 2.7966004982385453, 1.5633849688837522, 0.828793283953975, 0.0), # 0
(9.637788873635953, 9.718600145338852, 8.333019886995228, 8.943944741923431, 7.106988404969084, 3.5132827632446837, 3.9775220471373247, 3.7196352921792815, 3.8953471957997454, 1.8985413115247178, 1.3449288407868398, 0.7831824991221532, 0.0, 9.755624965391739, 8.615007490343684, 6.724644203934198, 5.695623934574153, 7.790694391599491, 5.207489409050994, 3.9775220471373247, 2.509487688031917, 3.553494202484542, 2.9813149139744777, 1.6666039773990458, 0.883509104121714, 0.0), # 1
(10.236101416163518, 10.318085531970116, 8.847063428321121, 9.495883401297473, 7.546755568499692, 3.7301093702380674, 4.222636657164634, 3.948468935928315, 4.135672084126529, 2.015511198759246, 1.4279469446328943, 0.8314848978079584, 0.0, 10.357856690777442, 9.14633387588754, 7.13973472316447, 6.046533596277737, 8.271344168253059, 5.527856510299641, 4.222636657164634, 2.6643638358843336, 3.773377784249846, 3.1652944670991583, 1.7694126856642243, 0.938007775633647, 0.0), # 2
(10.830164027663812, 10.912803828195138, 9.357016303979782, 10.0434281501683, 7.983194011202283, 3.9452076537143688, 4.46580327748316, 4.175475868120881, 4.374081096552656, 2.1315522142917818, 1.5103045235482149, 0.8794028527395692, 0.0, 10.955291051257605, 9.67343138013526, 7.551522617741075, 6.3946566428753435, 8.748162193105312, 5.845666215369232, 4.46580327748316, 2.818005466938835, 3.9915970056011414, 3.3478093833894342, 1.8714032607959565, 0.9920730752904672, 0.0), # 3
(11.417645067148767, 11.500376578821527, 9.860839349554556, 10.584389665866468, 8.41457352455579, 4.1577177677686015, 4.706049301657613, 4.399748895896186, 4.609621227349624, 2.246200153725456, 1.5916722403771728, 0.9267447588532147, 0.0, 11.54553953929167, 10.19419234738536, 7.958361201885864, 6.738600461176366, 9.219242454699248, 6.159648454254661, 4.706049301657613, 2.969798405549001, 4.207286762277895, 3.528129888622157, 1.9721678699109113, 1.0454887798928663, 0.0), # 4
(11.996212893630318, 12.07842532865692, 10.356493400628777, 11.11657862572253, 8.839163900039136, 4.366779866495776, 4.942402123252702, 4.620380826393444, 4.841339470788935, 2.3589908126633987, 1.67172075796414, 0.9733190110851223, 0.0, 12.126213647339089, 10.706509121936344, 8.358603789820698, 7.076972437990195, 9.68267894157787, 6.468533156950822, 4.942402123252702, 3.119128476068411, 4.419581950019568, 3.705526208574178, 2.071298680125756, 1.0980386662415385, 0.0), # 5
(12.5635358661204, 12.644571622508925, 10.8419392927858, 11.63780570706703, 9.255234929131252, 4.571534103990907, 5.173889135833137, 4.836464466751867, 5.068282821142089, 2.469459986708742, 1.750120739153485, 1.0189340043715214, 0.0, 12.694924867859292, 11.208274048086732, 8.750603695767424, 7.408379960126224, 10.136565642284179, 6.771050253452613, 5.173889135833137, 3.265381502850648, 4.627617464565626, 3.8792685690223445, 2.16838785855716, 1.1495065111371752, 0.0), # 6
(13.117282343630944, 13.196437005185167, 11.315137861608953, 12.145881587230525, 9.661056403311065, 4.771120634349007, 5.399537732963626, 5.047092624110664, 5.289498272680586, 2.5771434714646144, 1.8265428467895808, 1.0633981336486396, 0.0, 13.249284693311735, 11.697379470135033, 9.132714233947903, 7.7314304143938415, 10.578996545361171, 7.06592967375493, 5.399537732963626, 3.4079433102492906, 4.830528201655532, 4.048627195743509, 2.2630275723217905, 1.1996760913804698, 0.0), # 7
(13.655120685173882, 13.731643021493262, 11.774049942681595, 12.638616943543553, 10.054898114057503, 4.964679611665085, 5.618375308208878, 5.251358105609044, 5.504032819675924, 2.681577062534149, 1.9006577437167966, 1.1065197938527056, 0.0, 13.786904616155851, 12.171717732379758, 9.503288718583983, 8.044731187602444, 11.008065639351848, 7.351901347852662, 5.618375308208878, 3.5461997226179176, 5.027449057028751, 4.212872314514518, 2.3548099885363194, 1.248331183772115, 0.0), # 8
(14.174719249761154, 14.247811216240837, 12.216636371587056, 13.11382245333668, 10.43502985284949, 5.151351190034158, 5.829429255133608, 5.4483537183862225, 5.710933456399605, 2.782296555520474, 1.9721360927795035, 1.1481073799199473, 0.0, 14.305396128851092, 12.629181179119417, 9.860680463897518, 8.34688966656142, 11.42186691279921, 7.627695205740712, 5.829429255133608, 3.679536564310113, 5.217514926424745, 4.371274151112227, 2.4433272743174115, 1.2952555651128035, 0.0), # 9
(14.673746396404677, 14.7425631342355, 12.640857983908687, 13.569308793940438, 10.799721411165962, 5.330275523551238, 6.031726967302519, 5.637172269581408, 5.909247177123128, 2.878837746026722, 2.0406485568220725, 1.187969286786593, 0.0, 14.802370723856898, 13.06766215465252, 10.20324278411036, 8.636513238080164, 11.818494354246257, 7.892041177413972, 6.031726967302519, 3.8073396596794558, 5.399860705582981, 4.52310293131348, 2.5281715967817378, 1.3402330122032275, 0.0), # 10
(15.149870484116411, 15.213520320284891, 13.044675615229824, 14.002886642685386, 11.14724258048584, 5.500592766311337, 6.224295838280325, 5.816906566333811, 6.098020976117995, 2.970736429656024, 2.105865798688875, 1.2259139093888718, 0.0, 15.2754398936327, 13.485053003277587, 10.529328993444373, 8.912209288968072, 12.19604195223599, 8.143669192867335, 6.224295838280325, 3.9289948330795266, 5.57362129024292, 4.66762888089513, 2.6089351230459648, 1.3830473018440812, 0.0), # 11
(15.600759871908263, 15.6583043191966, 13.42605010113381, 14.412366676902078, 11.475863152288053, 5.6614430724094635, 6.406163261631731, 5.986649415782641, 6.276301847655707, 3.0575284020115086, 2.1674584812242808, 1.2617496426630104, 0.0, 15.722215130637963, 13.879246069293112, 10.837292406121403, 9.172585206034523, 12.552603695311413, 8.381309182095698, 6.406163261631731, 4.043887908863902, 5.737931576144026, 4.804122225634027, 2.6852100202267626, 1.4234822108360548, 0.0), # 12
(16.02408291879218, 16.074536675778273, 13.782942277203993, 14.795559573921057, 11.783852918051522, 5.8119665959406355, 6.576356630921451, 6.145493625067111, 6.443136786007759, 3.138749458696308, 2.225097267272661, 1.2952848815452382, 0.0, 16.140307927332124, 14.248133696997618, 11.125486336363304, 9.416248376088921, 12.886273572015519, 8.603691075093955, 6.576356630921451, 4.151404711386168, 5.891926459025761, 4.93185319130702, 2.756588455440799, 1.4613215159798432, 0.0), # 13
(16.41750798378009, 16.45983893483752, 14.113312979023721, 15.150276011072872, 12.069481669255186, 5.9513034909998614, 6.733903339714195, 6.292532001326435, 6.597572785445653, 3.2139353953135514, 2.2784528196783858, 1.3263280209717843, 0.0, 16.527329776174614, 14.589608230689624, 11.392264098391927, 9.641806185940652, 13.195145570891306, 8.80954480185701, 6.733903339714195, 4.250931064999901, 6.034740834627593, 5.050092003690958, 2.8226625958047444, 1.4963489940761385, 0.0), # 14
(16.77870342588394, 16.811832641181958, 14.415123042176313, 15.474326665688082, 12.33101919737797, 6.078593911682158, 6.877830781574663, 6.426857351699818, 6.738656840240891, 3.2826220074663714, 2.3271958012858263, 1.3546874558788757, 0.0, 16.880892169624886, 14.90156201466763, 11.63597900642913, 9.847866022399112, 13.477313680481782, 8.997600292379746, 6.877830781574663, 4.341852794058684, 6.165509598688985, 5.158108888562695, 2.883024608435263, 1.5283484219256327, 0.0), # 15
(17.10533760411564, 17.128139339619217, 14.686333302245139, 15.765522215097217, 12.566735293898798, 6.192978012082533, 7.007166350067579, 6.547562483326471, 6.865435944664972, 3.344345090757899, 2.370996874939354, 1.380171581202741, 0.0, 17.198606600142384, 15.181887393230149, 11.85498437469677, 10.033035272273695, 13.730871889329944, 9.16658747665706, 7.007166350067579, 4.423555722916095, 6.283367646949399, 5.255174071699074, 2.9372666604490276, 1.55710357632902, 0.0), # 16
(17.395078877487137, 17.406380574956913, 14.92490459481353, 16.021673336630855, 12.774899750296605, 6.2935959462960005, 7.12093743875764, 6.653740203345614, 6.976957092989391, 3.398640440791261, 2.40952670348334, 1.4025887918796085, 0.0, 17.47808456018655, 15.428476710675692, 12.047633517416699, 10.195921322373781, 13.953914185978782, 9.31523628468386, 7.12093743875764, 4.4954256759257145, 6.387449875148302, 5.340557778876952, 2.984980918962706, 1.5823982340869922, 0.0), # 17
(17.645595605010367, 17.644177892002652, 15.12879775546482, 16.24059070761953, 12.953782358050306, 6.379587868417579, 7.2181714412095666, 6.744483318896446, 7.072267279485658, 3.4450438531695924, 2.4424559497621527, 1.4217474828457075, 0.0, 17.716937542216822, 15.63922231130278, 12.212279748810763, 10.335131559508774, 14.144534558971316, 9.442276646455024, 7.2181714412095666, 4.556848477441128, 6.476891179025153, 5.413530235873177, 3.0257595510929645, 1.6040161720002415, 0.0), # 18
(17.85455614569726, 17.83915283556408, 15.29597361978237, 16.420085005393776, 13.10165290863884, 6.450093932542269, 7.297895750988055, 6.818884637118185, 7.150413498425267, 3.4830911234960236, 2.4694552766201636, 1.4374560490372645, 0.0, 17.912777038692653, 15.812016539409907, 12.347276383100818, 10.449273370488068, 14.300826996850533, 9.546438491965459, 7.297895750988055, 4.607209951815906, 6.55082645431942, 5.473361668464593, 3.059194723956474, 1.621741166869462, 0.0), # 19
(18.01962885855975, 17.988926950448786, 15.424393023349506, 16.55796690728418, 13.216781193541133, 6.504254292765094, 7.359137761657826, 6.876036965150038, 7.210442744079718, 3.5123180473736824, 2.490195346901745, 1.4495228853905089, 0.0, 18.063214542073485, 15.944751739295596, 12.450976734508725, 10.536954142121044, 14.420885488159437, 9.626451751210054, 7.359137761657826, 4.645895923403639, 6.608390596770566, 5.51932230242806, 3.084878604669901, 1.6353569954953444, 0.0), # 20
(18.13848210260976, 18.09112178146442, 15.51201680174958, 16.652047090621256, 13.297437004236105, 6.541209103181062, 7.400924866783583, 6.915033110131218, 7.251402010720512, 3.532260420405701, 2.5043468234512685, 1.4577563868416692, 0.0, 18.165861544818743, 16.03532025525836, 12.52173411725634, 10.5967812612171, 14.502804021441024, 9.681046354183705, 7.400924866783583, 4.672292216557902, 6.648718502118053, 5.550682363540419, 3.1024033603499164, 1.644647434678584, 0.0), # 21
(18.20878423685924, 18.143358873418588, 15.55680579056593, 16.70013623273558, 13.341890132202689, 6.560098517885186, 7.422284459930039, 6.934965879200936, 7.27233829261915, 3.54245403819521, 2.5115803691131027, 1.4619649483269737, 0.0, 18.218329539387888, 16.08161443159671, 12.557901845565512, 10.627362114585626, 14.5446765852383, 9.70895223088131, 7.422284459930039, 4.6857846556322755, 6.6709450661013445, 5.5667120775785275, 3.111361158113186, 1.649396261219872, 0.0), # 22
(18.23470805401675, 18.14954393004115, 15.562384773662554, 16.706156597222225, 13.353278467239116, 6.5625, 7.424823602033405, 6.937120370370371, 7.274955740740741, 3.543656522633746, 2.512487411148522, 1.4624846364883404, 0.0, 18.225, 16.08733100137174, 12.56243705574261, 10.630969567901236, 14.549911481481482, 9.71196851851852, 7.424823602033405, 4.6875, 6.676639233619558, 5.568718865740743, 3.1124769547325113, 1.6499585390946503, 0.0), # 23
(18.253822343461476, 18.145936111111112, 15.561472222222221, 16.705415625000004, 13.359729136337823, 6.5625, 7.42342843137255, 6.934125, 7.274604999999999, 3.5429177777777783, 2.5123873737373743, 1.462362962962963, 0.0, 18.225, 16.085992592592593, 12.561936868686871, 10.628753333333332, 14.549209999999999, 9.707775, 7.42342843137255, 4.6875, 6.679864568168911, 5.568471875000002, 3.1122944444444447, 1.649630555555556, 0.0), # 24
(18.272533014380844, 18.138824588477366, 15.559670781893006, 16.70394965277778, 13.366037934713404, 6.5625, 7.420679012345679, 6.928240740740742, 7.273912037037037, 3.541463477366256, 2.512189019827909, 1.4621227709190674, 0.0, 18.225, 16.08335048010974, 12.560945099139545, 10.624390432098766, 14.547824074074073, 9.69953703703704, 7.420679012345679, 4.6875, 6.683018967356702, 5.567983217592594, 3.1119341563786014, 1.6489840534979427, 0.0), # 25
(18.290838634286462, 18.128318004115226, 15.557005144032923, 16.70177534722222, 13.372204642105325, 6.5625, 7.416618046477849, 6.919578703703704, 7.27288574074074, 3.539317818930042, 2.511894145155257, 1.4617673525377233, 0.0, 18.225, 16.079440877914955, 12.559470725776283, 10.617953456790124, 14.54577148148148, 9.687410185185186, 7.416618046477849, 4.6875, 6.686102321052663, 5.567258449074075, 3.111401028806585, 1.648028909465021, 0.0), # 26
(18.308737770689945, 18.114524999999997, 15.553500000000001, 16.698909375, 13.378229038253057, 6.5625, 7.411288235294118, 6.908250000000002, 7.271535, 3.5365050000000005, 2.5115045454545455, 1.4613000000000003, 0.0, 18.225, 16.0743, 12.557522727272728, 10.609514999999998, 14.54307, 9.671550000000002, 7.411288235294118, 4.6875, 6.689114519126528, 5.566303125, 3.1107000000000005, 1.646775, 0.0), # 27
(18.3262289911029, 18.097554218106993, 15.549180041152265, 16.695368402777778, 13.384110902896083, 6.5625, 7.404732280319536, 6.894365740740742, 7.269868703703704, 3.533049218106997, 2.5110220164609056, 1.4607240054869688, 0.0, 18.225, 16.067964060356655, 12.555110082304529, 10.599147654320989, 14.539737407407408, 9.652112037037039, 7.404732280319536, 4.6875, 6.6920554514480415, 5.565122800925927, 3.1098360082304533, 1.6452322016460905, 0.0), # 28
(18.34331086303695, 18.077514300411522, 15.54406995884774, 16.69116909722222, 13.389850015773863, 6.5625, 7.396992883079159, 6.8780370370370365, 7.267895740740741, 3.5289746707818943, 2.510448353909465, 1.4600426611796984, 0.0, 18.225, 16.06046927297668, 12.552241769547326, 10.58692401234568, 14.535791481481482, 9.629251851851851, 7.396992883079159, 4.6875, 6.694925007886932, 5.563723032407409, 3.1088139917695483, 1.6434103909465023, 0.0), # 29
(18.359981954003697, 18.054513888888888, 15.538194444444445, 16.686328125000003, 13.395446156625884, 6.5625, 7.388112745098039, 6.859375, 7.265625, 3.5243055555555567, 2.509785353535354, 1.4592592592592593, 0.0, 18.225, 16.05185185185185, 12.548926767676768, 10.572916666666668, 14.53125, 9.603125, 7.388112745098039, 4.6875, 6.697723078312942, 5.562109375000001, 3.107638888888889, 1.6413194444444446, 0.0), # 30
(18.376240831514746, 18.028661625514406, 15.531578189300415, 16.680862152777777, 13.400899105191609, 6.5625, 7.378134567901236, 6.838490740740741, 7.26306537037037, 3.5190660699588485, 2.5090348110737, 1.458377091906722, 0.0, 18.225, 16.04214801097394, 12.5451740553685, 10.557198209876542, 14.52613074074074, 9.573887037037037, 7.378134567901236, 4.6875, 6.7004495525958045, 5.56028738425926, 3.106315637860083, 1.638969238683128, 0.0), # 31
(18.392086063081717, 18.000066152263376, 15.524245884773661, 16.674787847222223, 13.406208641210513, 6.5625, 7.3671010530137995, 6.815495370370372, 7.260225740740741, 3.5132804115226346, 2.5081985222596335, 1.4573994513031552, 0.0, 18.225, 16.031393964334704, 12.540992611298167, 10.539841234567902, 14.520451481481482, 9.541693518518521, 7.3671010530137995, 4.6875, 6.703104320605257, 5.558262615740742, 3.1048491769547324, 1.6363696502057616, 0.0), # 32
(18.407516216216216, 17.96883611111111, 15.516222222222224, 16.668121874999997, 13.411374544422076, 6.5625, 7.355054901960784, 6.790500000000001, 7.257115, 3.506972777777779, 2.507278282828283, 1.4563296296296298, 0.0, 18.225, 16.019625925925926, 12.536391414141413, 10.520918333333334, 14.51423, 9.5067, 7.355054901960784, 4.6875, 6.705687272211038, 5.5560406250000005, 3.103244444444445, 1.6335305555555555, 0.0), # 33
(18.422529858429858, 17.93508014403292, 15.507531893004115, 16.660880902777777, 13.41639659456576, 6.5625, 7.342038816267248, 6.7636157407407405, 7.253742037037037, 3.500167366255145, 2.5062758885147773, 1.4551709190672155, 0.0, 18.225, 16.006880109739367, 12.531379442573886, 10.500502098765432, 14.507484074074075, 9.469062037037038, 7.342038816267248, 4.6875, 6.70819829728288, 5.553626967592593, 3.1015063786008232, 1.6304618312757202, 0.0), # 34
(18.437125557234253, 17.898906893004114, 15.49819958847737, 16.65308159722222, 13.421274571381044, 6.5625, 7.328095497458243, 6.734953703703703, 7.250115740740741, 3.4928883744855974, 2.5051931350542462, 1.4539266117969825, 0.0, 18.225, 15.993192729766804, 12.52596567527123, 10.47866512345679, 14.500231481481482, 9.428935185185185, 7.328095497458243, 4.6875, 6.710637285690522, 5.551027199074074, 3.099639917695474, 1.627173353909465, 0.0), # 35
(18.45130188014101, 17.860424999999996, 15.488249999999999, 16.644740624999997, 13.426008254607403, 6.5625, 7.313267647058823, 6.704625000000001, 7.246244999999999, 3.485160000000001, 2.504031818181818, 1.4526000000000006, 0.0, 18.225, 15.978600000000004, 12.520159090909091, 10.45548, 14.492489999999998, 9.386475, 7.313267647058823, 4.6875, 6.7130041273037016, 5.548246875, 3.0976500000000002, 1.623675, 0.0), # 36
(18.46505739466174, 17.819743106995883, 15.477707818930043, 16.63587465277778, 13.430597423984304, 6.5625, 7.2975979665940445, 6.672740740740741, 7.242138703703703, 3.477006440329219, 2.502793733632623, 1.451194375857339, 0.0, 18.225, 15.963138134430727, 12.513968668163116, 10.431019320987655, 14.484277407407406, 9.341837037037038, 7.2975979665940445, 4.6875, 6.715298711992152, 5.545291550925927, 3.0955415637860084, 1.619976646090535, 0.0), # 37
(18.47839066830806, 17.776969855967078, 15.466597736625513, 16.626500347222226, 13.435041859251228, 6.5625, 7.281129157588961, 6.639412037037038, 7.237805740740741, 3.4684518930041164, 2.5014806771417883, 1.4497130315500688, 0.0, 18.225, 15.946843347050754, 12.507403385708942, 10.405355679012347, 14.475611481481481, 9.295176851851854, 7.281129157588961, 4.6875, 6.717520929625614, 5.542166782407409, 3.0933195473251027, 1.61608816872428, 0.0), # 38
(18.491300268591576, 17.732213888888886, 15.454944444444445, 16.616634375, 13.439341340147644, 6.5625, 7.2639039215686285, 6.60475, 7.233255000000001, 3.4595205555555566, 2.500094444444445, 1.4481592592592594, 0.0, 18.225, 15.92975185185185, 12.500472222222223, 10.378561666666666, 14.466510000000001, 9.24665, 7.2639039215686285, 4.6875, 6.719670670073822, 5.538878125000001, 3.0909888888888895, 1.6120194444444444, 0.0), # 39
(18.503784763023894, 17.685583847736623, 15.442772633744857, 16.60629340277778, 13.443495646413021, 6.5625, 7.245964960058098, 6.568865740740742, 7.228495370370371, 3.4502366255144046, 2.49863683127572, 1.4465363511659812, 0.0, 18.225, 15.911899862825791, 12.4931841563786, 10.350709876543212, 14.456990740740743, 9.196412037037039, 7.245964960058098, 4.6875, 6.721747823206511, 5.535431134259261, 3.0885545267489714, 1.6077803497942387, 0.0), # 40
(18.51584271911663, 17.637188374485596, 15.430106995884776, 16.595494097222222, 13.447504557786843, 6.5625, 7.2273549745824255, 6.531870370370371, 7.22353574074074, 3.4406243004115233, 2.4971096333707448, 1.4448475994513033, 0.0, 18.225, 15.893323593964332, 12.485548166853723, 10.321872901234567, 14.44707148148148, 9.14461851851852, 7.2273549745824255, 4.6875, 6.723752278893421, 5.531831365740742, 3.0860213991769556, 1.6033807613168727, 0.0), # 41
(18.527472704381402, 17.587136111111114, 15.416972222222224, 16.584253125000004, 13.45136785400857, 6.5625, 7.208116666666666, 6.493875, 7.218385000000001, 3.4307077777777786, 2.4955146464646467, 1.4430962962962963, 0.0, 18.225, 15.874059259259258, 12.477573232323234, 10.292123333333333, 14.436770000000003, 9.091425000000001, 7.208116666666666, 4.6875, 6.725683927004285, 5.5280843750000015, 3.083394444444445, 1.598830555555556, 0.0), # 42
(18.538673286329807, 17.53553569958848, 15.403393004115227, 16.57258715277778, 13.455085314817683, 6.5625, 7.188292737835875, 6.454990740740741, 7.213052037037036, 3.420511255144034, 2.4938536662925554, 1.4412857338820306, 0.0, 18.225, 15.854143072702334, 12.469268331462775, 10.2615337654321, 14.426104074074072, 9.036987037037038, 7.188292737835875, 4.6875, 6.727542657408842, 5.524195717592594, 3.080678600823046, 1.5941396090534983, 0.0), # 43
(18.54944303247347, 17.482495781893004, 15.389394032921814, 16.560512847222224, 13.458656719953654, 6.5625, 7.1679258896151055, 6.415328703703706, 7.2075457407407395, 3.4100589300411532, 2.4921284885895996, 1.439419204389575, 0.0, 18.225, 15.833611248285322, 12.460642442947998, 10.230176790123457, 14.415091481481479, 8.981460185185188, 7.1679258896151055, 4.6875, 6.729328359976827, 5.520170949074076, 3.077878806584363, 1.5893177983539097, 0.0), # 44
(18.55978051032399, 17.428124999999998, 15.375, 16.548046875, 13.462081849155954, 6.5625, 7.147058823529412, 6.375000000000001, 7.201874999999999, 3.3993750000000014, 2.4903409090909094, 1.4375000000000002, 0.0, 18.225, 15.8125, 12.451704545454545, 10.198125000000001, 14.403749999999999, 8.925, 7.147058823529412, 4.6875, 6.731040924577977, 5.516015625000001, 3.075, 1.584375, 0.0), # 45
(18.569684287392985, 17.372531995884774, 15.360235596707819, 16.535205902777776, 13.465360482164058, 6.5625, 7.125734241103849, 6.334115740740741, 7.196048703703703, 3.388483662551441, 2.4884927235316128, 1.4355314128943761, 0.0, 18.225, 15.790845541838134, 12.442463617658062, 10.16545098765432, 14.392097407407405, 8.86776203703704, 7.125734241103849, 4.6875, 6.732680241082029, 5.511735300925927, 3.072047119341564, 1.5793210905349795, 0.0), # 46
(18.579152931192063, 17.31582541152263, 15.345125514403293, 16.522006597222223, 13.46849239871744, 6.5625, 7.103994843863473, 6.292787037037037, 7.190075740740742, 3.3774091152263384, 2.486585727646839, 1.4335167352537728, 0.0, 18.225, 15.768684087791497, 12.432928638234193, 10.132227345679013, 14.380151481481484, 8.809901851851851, 7.103994843863473, 4.6875, 6.73424619935872, 5.507335532407408, 3.069025102880659, 1.5741659465020577, 0.0), # 47
(18.588185009232834, 17.258113888888886, 15.329694444444444, 16.508465625, 13.471477378555573, 6.5625, 7.081883333333334, 6.251125000000001, 7.183965000000001, 3.3661755555555564, 2.4846217171717173, 1.4314592592592594, 0.0, 18.225, 15.746051851851853, 12.423108585858586, 10.098526666666666, 14.367930000000001, 8.751575, 7.081883333333334, 4.6875, 6.735738689277786, 5.502821875000001, 3.065938888888889, 1.5689194444444445, 0.0), # 48
(18.596779089026917, 17.199506069958847, 15.313967078189304, 16.49459965277778, 13.47431520141793, 6.5625, 7.059442411038489, 6.209240740740741, 7.17772537037037, 3.35480718106996, 2.4826024878413775, 1.4293622770919072, 0.0, 18.225, 15.722985048010976, 12.413012439206886, 10.064421543209878, 14.35545074074074, 8.692937037037037, 7.059442411038489, 4.6875, 6.737157600708965, 5.498199884259261, 3.0627934156378607, 1.5635914609053498, 0.0), # 49
(18.604933738085908, 17.140110596707824, 15.297968106995889, 16.480425347222223, 13.477005647043978, 6.5625, 7.0367147785039945, 6.16724537037037, 7.1713657407407405, 3.3433281893004123, 2.480529835390947, 1.427229080932785, 0.0, 18.225, 15.699519890260632, 12.402649176954732, 10.029984567901234, 14.342731481481481, 8.634143518518519, 7.0367147785039945, 4.6875, 6.738502823521989, 5.4934751157407415, 3.059593621399178, 1.5581918724279842, 0.0), # 50
(18.61264752392144, 17.080036111111113, 15.281722222222223, 16.465959375, 13.479548495173198, 6.5625, 7.013743137254902, 6.12525, 7.164895000000001, 3.3317627777777785, 2.478405555555556, 1.4250629629629634, 0.0, 18.225, 15.675692592592595, 12.392027777777779, 9.995288333333333, 14.329790000000003, 8.57535, 7.013743137254902, 4.6875, 6.739774247586599, 5.488653125000001, 3.0563444444444445, 1.552730555555556, 0.0), # 51
(18.619919014045102, 17.019391255144033, 15.26525411522634, 16.45121840277778, 13.481943525545056, 6.5625, 6.9905701888162675, 6.08336574074074, 7.158322037037037, 3.320135144032923, 2.4762314440703332, 1.4228672153635122, 0.0, 18.225, 15.651539368998632, 12.381157220351666, 9.960405432098767, 14.316644074074073, 8.516712037037037, 6.9905701888162675, 4.6875, 6.740971762772528, 5.483739467592594, 3.0530508230452678, 1.547217386831276, 0.0), # 52
(18.626746775968517, 16.958284670781893, 15.248588477366258, 16.43621909722222, 13.484190517899034, 6.5625, 6.967238634713145, 6.041703703703704, 7.1516557407407415, 3.3084694855967087, 2.4740092966704084, 1.4206451303155008, 0.0, 18.225, 15.627096433470507, 12.37004648335204, 9.925408456790123, 14.303311481481483, 8.458385185185186, 6.967238634713145, 4.6875, 6.742095258949517, 5.478739699074075, 3.049717695473252, 1.5416622427983542, 0.0), # 53
(18.63312937720329, 16.896825000000003, 15.23175, 16.420978125, 13.486289251974604, 6.5625, 6.943791176470588, 6.000374999999999, 7.144905, 3.296790000000001, 2.4717409090909093, 1.4184000000000003, 0.0, 18.225, 15.602400000000001, 12.358704545454545, 9.89037, 14.28981, 8.400525, 6.943791176470588, 4.6875, 6.743144625987302, 5.473659375000001, 3.04635, 1.5360750000000005, 0.0), # 54
(18.63906538526104, 16.835120884773662, 15.2147633744856, 16.405512152777778, 13.488239507511228, 6.5625, 6.9202705156136535, 5.9594907407407405, 7.1380787037037035, 3.2851208847736637, 2.4694280770669663, 1.4161351165980798, 0.0, 18.225, 15.577486282578874, 12.34714038533483, 9.855362654320988, 14.276157407407407, 8.343287037037037, 6.9202705156136535, 4.6875, 6.744119753755614, 5.468504050925927, 3.04295267489712, 1.530465534979424, 0.0), # 55
(18.64455336765337, 16.77328096707819, 15.197653292181073, 16.389837847222225, 13.49004106424839, 6.5625, 6.896719353667393, 5.9191620370370375, 7.131185740740741, 3.2734863374485608, 2.467072596333708, 1.4138537722908093, 0.0, 18.225, 15.5523914951989, 12.335362981668538, 9.82045901234568, 14.262371481481482, 8.286826851851853, 6.896719353667393, 4.6875, 6.745020532124195, 5.463279282407409, 3.0395306584362145, 1.5248437242798356, 0.0), # 56
(18.649591891891887, 16.711413888888888, 15.180444444444445, 16.373971875, 13.49169370192556, 6.5625, 6.873180392156863, 5.879500000000001, 7.124235, 3.2619105555555565, 2.4646762626262633, 1.4115592592592594, 0.0, 18.225, 15.527151851851851, 12.323381313131314, 9.785731666666667, 14.24847, 8.231300000000001, 6.873180392156863, 4.6875, 6.74584685096278, 5.457990625000001, 3.0360888888888895, 1.5192194444444447, 0.0), # 57
(18.654179525488225, 16.64962829218107, 15.163161522633745, 16.357930902777774, 13.49319720028221, 6.5625, 6.849696332607118, 5.840615740740741, 7.11723537037037, 3.2504177366255154, 2.4622408716797612, 1.4092548696844995, 0.0, 18.225, 15.501803566529492, 12.311204358398806, 9.751253209876543, 14.23447074074074, 8.176862037037038, 6.849696332607118, 4.6875, 6.746598600141105, 5.4526436342592595, 3.032632304526749, 1.5136025720164612, 0.0), # 58
(18.658314835953966, 16.58803281893004, 15.145829218106996, 16.34173159722222, 13.494551339057814, 6.5625, 6.82630987654321, 5.802620370370371, 7.110195740740741, 3.2390320781893016, 2.4597682192293306, 1.4069438957475995, 0.0, 18.225, 15.476382853223592, 12.298841096146651, 9.717096234567903, 14.220391481481482, 8.12366851851852, 6.82630987654321, 4.6875, 6.747275669528907, 5.447243865740742, 3.0291658436213997, 1.5080029835390947, 0.0), # 59
(18.661996390800738, 16.526736111111113, 15.128472222222221, 16.325390625, 13.495755897991843, 6.5625, 6.803063725490196, 5.765625, 7.103125, 3.2277777777777787, 2.4572601010101014, 1.40462962962963, 0.0, 18.225, 15.450925925925928, 12.286300505050505, 9.683333333333334, 14.20625, 8.071875, 6.803063725490196, 4.6875, 6.747877948995922, 5.441796875000001, 3.0256944444444445, 1.502430555555556, 0.0), # 60
(18.665222757540146, 16.465846810699592, 15.111115226337452, 16.308924652777776, 13.496810656823772, 6.5625, 6.780000580973129, 5.729740740740741, 7.0960320370370376, 3.216679032921812, 2.4547183127572016, 1.40231536351166, 0.0, 18.225, 15.425468998628258, 12.273591563786008, 9.650037098765434, 14.192064074074075, 8.021637037037038, 6.780000580973129, 4.6875, 6.748405328411886, 5.436308217592593, 3.0222230452674905, 1.496895164609054, 0.0), # 61
(18.66799250368381, 16.40547355967078, 15.093782921810703, 16.292350347222225, 13.497715395293081, 6.5625, 6.757163144517066, 5.695078703703705, 7.088925740740741, 3.2057600411522644, 2.4521446502057613, 1.4000043895747603, 0.0, 18.225, 15.40004828532236, 12.260723251028807, 9.61728012345679, 14.177851481481483, 7.973110185185186, 6.757163144517066, 4.6875, 6.748857697646541, 5.430783449074076, 3.018756584362141, 1.4914066872427985, 0.0), # 62
(18.670304196743327, 16.345724999999998, 15.0765, 16.275684375, 13.498469893139227, 6.5625, 6.734594117647059, 5.6617500000000005, 7.081815, 3.195045000000001, 2.4495409090909095, 1.3977000000000002, 0.0, 18.225, 15.3747, 12.247704545454548, 9.585135, 14.16363, 7.926450000000001, 6.734594117647059, 4.6875, 6.749234946569613, 5.425228125000001, 3.0153000000000003, 1.485975, 0.0), # 63
(18.672156404230314, 16.286709773662555, 15.059291152263373, 16.258943402777778, 13.499073930101698, 6.5625, 6.712336201888163, 5.629865740740741, 7.0747087037037035, 3.1845581069958855, 2.446908885147774, 1.3954054869684502, 0.0, 18.225, 15.34946035665295, 12.23454442573887, 9.553674320987653, 14.149417407407407, 7.881812037037038, 6.712336201888163, 4.6875, 6.749536965050849, 5.419647800925927, 3.011858230452675, 1.4806099794238687, 0.0), # 64
(18.67354769365639, 16.228536522633743, 15.042181069958849, 16.242144097222223, 13.49952728591996, 6.5625, 6.690432098765433, 5.599537037037037, 7.067615740740742, 3.1743235596707824, 2.4442503741114856, 1.3931241426611796, 0.0, 18.225, 15.324365569272972, 12.221251870557428, 9.522970679012344, 14.135231481481483, 7.839351851851852, 6.690432098765433, 4.6875, 6.74976364295998, 5.4140480324074085, 3.00843621399177, 1.4753215020576131, 0.0), # 65
(18.674476632533153, 16.17131388888889, 15.025194444444447, 16.225303125, 13.499829740333489, 6.5625, 6.668924509803921, 5.570875000000001, 7.060545000000001, 3.1643655555555563, 2.4415671717171716, 1.3908592592592597, 0.0, 18.225, 15.299451851851854, 12.207835858585858, 9.493096666666666, 14.121090000000002, 7.799225000000001, 6.668924509803921, 4.6875, 6.749914870166744, 5.408434375000001, 3.0050388888888895, 1.4701194444444448, 0.0), # 66
(18.674941788372227, 16.11515051440329, 15.00835596707819, 16.208437152777776, 13.499981073081756, 6.5625, 6.647856136528685, 5.543990740740742, 7.05350537037037, 3.154708292181071, 2.438861073699963, 1.3886141289437586, 0.0, 18.225, 15.274755418381341, 12.194305368499816, 9.464124876543211, 14.10701074074074, 7.761587037037039, 6.647856136528685, 4.6875, 6.749990536540878, 5.40281238425926, 3.001671193415638, 1.465013683127572, 0.0), # 67
(18.674624906065485, 16.059860254878533, 14.99160892489712, 16.19141634963768, 13.499853546356814, 6.56237821216278, 6.627163675346682, 5.518757887517148, 7.046452709190673, 3.145329198741226, 2.436085796562113, 1.3863795032849615, 0.0, 18.22477527006173, 15.250174536134574, 12.180428982810565, 9.435987596223676, 14.092905418381346, 7.726261042524007, 6.627163675346682, 4.6874130086877, 6.749926773178407, 5.3971387832125615, 2.998321784979424, 1.4599872958980487, 0.0), # 68
(18.671655072463768, 16.00375510752688, 14.974482638888889, 16.173382744565217, 13.498692810457515, 6.561415432098766, 6.606241363211952, 5.493824074074074, 7.039078703703703, 3.1359628758169937, 2.4329588516746417, 1.3840828460038987, 0.0, 18.222994791666668, 15.224911306042884, 12.164794258373206, 9.407888627450978, 14.078157407407407, 7.6913537037037045, 6.606241363211952, 4.686725308641976, 6.749346405228757, 5.391127581521739, 2.994896527777778, 1.4548868279569895, 0.0), # 69
(18.665794417606012, 15.946577558741536, 14.956902649176953, 16.154217617753623, 13.496399176954732, 6.559519318701418, 6.5849941211052325, 5.468964334705077, 7.031341735253773, 3.1265637860082314, 2.429444665957824, 1.3817134141939216, 0.0, 18.219478202160495, 15.198847556133135, 12.147223329789119, 9.379691358024692, 14.062683470507546, 7.656550068587107, 6.5849941211052325, 4.685370941929584, 6.748199588477366, 5.384739205917875, 2.9913805298353906, 1.4496888689765035, 0.0), # 70
(18.657125389157272, 15.888361778176023, 14.938875128600824, 16.133949230072467, 13.493001694504963, 6.556720598994056, 6.56343149358509, 5.444186899862826, 7.023253326474624, 3.1171321617041885, 2.425556211235159, 1.3792729405819073, 0.0, 18.21427179783951, 15.172002346400978, 12.127781056175793, 9.351396485112563, 14.046506652949247, 7.621861659807958, 6.56343149358509, 4.683371856424325, 6.746500847252482, 5.377983076690823, 2.987775025720165, 1.4443965252887296, 0.0), # 71
(18.64573043478261, 15.82914193548387, 14.92040625, 16.112605842391304, 13.488529411764706, 6.553050000000001, 6.541563025210084, 5.4195, 7.014825, 3.1076682352941183, 2.421306459330144, 1.376763157894737, 0.0, 18.207421875, 15.144394736842104, 12.10653229665072, 9.323004705882353, 14.02965, 7.587300000000001, 6.541563025210084, 4.680750000000001, 6.744264705882353, 5.370868614130436, 2.98408125, 1.4390129032258066, 0.0), # 72
(18.631692002147076, 15.768952200318596, 14.90150218621399, 16.09021571557971, 13.483011377390461, 6.548538248742569, 6.519398260538782, 5.394911865569274, 7.006068278463649, 3.0981722391672726, 2.4167083820662767, 1.374185798859288, 0.0, 18.198974729938275, 15.116043787452165, 12.083541910331384, 9.294516717501814, 14.012136556927299, 7.552876611796983, 6.519398260538782, 4.677527320530407, 6.741505688695231, 5.363405238526571, 2.9803004372427986, 1.4335411091198726, 0.0), # 73
(18.61509253891573, 15.707826742333731, 14.882169110082302, 16.06680711050725, 13.47647664003873, 6.543216072245086, 6.49694674412975, 5.37043072702332, 6.996994684499314, 3.0886444057129037, 2.411774951267057, 1.3715425962024403, 0.0, 18.18897665895062, 15.086968558226841, 12.058874756335285, 9.26593321713871, 13.993989368998628, 7.518603017832648, 6.49694674412975, 4.673725765889347, 6.738238320019365, 5.355602370169083, 2.976433822016461, 1.4279842493030668, 0.0), # 74
(18.59601449275362, 15.645799731182793, 14.862413194444443, 16.04240828804348, 13.468954248366014, 6.537114197530865, 6.47421802054155, 5.346064814814815, 6.98761574074074, 3.0790849673202625, 2.406519138755981, 1.3688352826510723, 0.0, 18.177473958333334, 15.057188109161793, 12.032595693779903, 9.237254901960785, 13.97523148148148, 7.484490740740742, 6.47421802054155, 4.669367283950618, 6.734477124183007, 5.347469429347827, 2.9724826388888888, 1.422345430107527, 0.0), # 75
(18.57454031132582, 15.582905336519316, 14.842240612139918, 16.01704750905797, 13.460473251028805, 6.53026335162323, 6.451221634332746, 5.321822359396434, 6.977942969821673, 3.069494156378602, 2.400953916356548, 1.3660655909320625, 0.0, 18.164512924382716, 15.026721500252684, 12.004769581782737, 9.208482469135802, 13.955885939643347, 7.450551303155008, 6.451221634332746, 4.664473822588021, 6.730236625514403, 5.339015836352658, 2.9684481224279837, 1.4166277578653925, 0.0), # 76
(18.55075244229737, 15.519177727996816, 14.821657536008228, 15.99075303442029, 13.451062696683609, 6.522694261545496, 6.4279671300619015, 5.2977115912208514, 6.967987894375857, 3.059872205277174, 2.3950922558922563, 1.3632352537722912, 0.0, 18.150139853395064, 14.9955877914952, 11.975461279461282, 9.179616615831518, 13.935975788751714, 7.416796227709193, 6.4279671300619015, 4.659067329675354, 6.725531348341804, 5.330251011473431, 2.964331507201646, 1.4108343389088016, 0.0), # 77
(18.524733333333334, 15.45465107526882, 14.80067013888889, 15.963553124999999, 13.440751633986928, 6.514437654320987, 6.404464052287582, 5.273740740740742, 6.957762037037036, 3.0502193464052296, 2.388947129186603, 1.3603460038986357, 0.0, 18.134401041666667, 14.963806042884991, 11.944735645933015, 9.150658039215687, 13.915524074074073, 7.383237037037039, 6.404464052287582, 4.653169753086419, 6.720375816993464, 5.3211843750000005, 2.960134027777778, 1.404968279569893, 0.0), # 78
(18.496565432098766, 15.389359547988851, 14.779284593621398, 15.935476041666668, 13.429569111595256, 6.505524256973022, 6.380721945568351, 5.249918038408779, 6.947276920438957, 3.0405358121520223, 2.382531508063087, 1.3573995740379758, 0.0, 18.117342785493825, 14.931395314417731, 11.912657540315433, 9.121607436456063, 13.894553840877913, 7.349885253772292, 6.380721945568351, 4.646803040695016, 6.714784555797628, 5.311825347222223, 2.95585691872428, 1.399032686180805, 0.0), # 79
(18.466331186258724, 15.323337315810434, 14.757507073045266, 15.906550045289855, 13.417544178165095, 6.49598479652492, 6.356750354462773, 5.226251714677641, 6.9365440672153635, 3.030821834906803, 2.375858364345207, 1.3543976969171905, 0.0, 18.09901138117284, 14.898374666089092, 11.879291821726033, 9.092465504720405, 13.873088134430727, 7.316752400548698, 6.356750354462773, 4.639989140374943, 6.708772089082547, 5.302183348429953, 2.9515014146090537, 1.3930306650736761, 0.0), # 80
(18.434113043478263, 15.256618548387095, 14.735343749999998, 15.876803396739131, 13.404705882352939, 6.48585, 6.3325588235294115, 5.202750000000001, 6.925574999999999, 3.0210776470588248, 2.36894066985646, 1.3513421052631582, 0.0, 18.079453124999997, 14.864763157894737, 11.844703349282298, 9.063232941176471, 13.851149999999999, 7.283850000000001, 6.3325588235294115, 4.63275, 6.7023529411764695, 5.292267798913045, 2.94706875, 1.3869653225806453, 0.0), # 81
(18.399993451422436, 15.189237415372364, 14.712800797325105, 15.846264356884058, 13.391083272815298, 6.475150594421583, 6.308156897326833, 5.179421124828533, 6.914381241426612, 3.011303480997338, 2.3617913964203443, 1.3482345318027582, 0.0, 18.058714313271608, 14.830579849830338, 11.80895698210172, 9.03391044299201, 13.828762482853223, 7.2511895747599455, 6.308156897326833, 4.625107567443988, 6.695541636407649, 5.2820881189613536, 2.9425601594650215, 1.3808397650338515, 0.0), # 82
(18.364054857756308, 15.121228086419752, 14.689884387860083, 15.8149611865942, 13.376705398208665, 6.463917306812986, 6.283554120413598, 5.156273319615913, 6.902974314128944, 3.001499569111596, 2.3544235158603586, 1.3450767092628693, 0.0, 18.036841242283952, 14.79584380189156, 11.772117579301792, 9.004498707334786, 13.805948628257887, 7.218782647462278, 6.283554120413598, 4.617083790580704, 6.688352699104333, 5.2716537288647345, 2.9379768775720168, 1.374657098765432, 0.0), # 83
(18.326379710144927, 15.052624731182796, 14.666600694444444, 15.78292214673913, 13.361601307189542, 6.452180864197532, 6.258760037348273, 5.133314814814815, 6.89136574074074, 2.9916661437908503, 2.3468500000000003, 1.3418703703703705, 0.0, 18.013880208333333, 14.760574074074073, 11.73425, 8.97499843137255, 13.78273148148148, 7.186640740740741, 6.258760037348273, 4.608700617283951, 6.680800653594771, 5.260974048913044, 2.933320138888889, 1.3684204301075271, 0.0), # 84
(18.287050456253354, 14.983461519315012, 14.642955889917694, 15.750175498188408, 13.345800048414427, 6.439971993598538, 6.233784192689422, 5.110553840877915, 6.879567043895747, 2.981803437424353, 2.3390838206627684, 1.338617247852141, 0.0, 17.989877507716052, 14.724789726373547, 11.69541910331384, 8.945410312273058, 13.759134087791494, 7.154775377229082, 6.233784192689422, 4.5999799954275264, 6.672900024207213, 5.250058499396137, 2.928591177983539, 1.362132865392274, 0.0), # 85
(18.246149543746643, 14.913772620469931, 14.618956147119343, 15.716749501811597, 13.32933067053982, 6.427321422039324, 6.208636130995608, 5.087998628257887, 6.86758974622771, 2.9719116824013563, 2.3311379496721605, 1.3353190744350594, 0.0, 17.964879436728395, 14.68850981878565, 11.655689748360802, 8.915735047204068, 13.73517949245542, 7.123198079561043, 6.208636130995608, 4.590943872885232, 6.66466533526991, 5.2389165006038665, 2.923791229423869, 1.3557975109518121, 0.0), # 86
(18.203759420289852, 14.843592204301075, 14.594607638888888, 15.68267241847826, 13.312222222222225, 6.41425987654321, 6.1833253968253965, 5.065657407407408, 6.855445370370372, 2.9619911111111112, 2.323025358851675, 1.3319775828460039, 0.0, 17.938932291666667, 14.651753411306041, 11.615126794258373, 8.885973333333332, 13.710890740740744, 7.091920370370371, 6.1833253968253965, 4.581614197530865, 6.656111111111112, 5.227557472826088, 2.9189215277777776, 1.3494174731182798, 0.0), # 87
(18.159962533548043, 14.772954440461966, 14.569916538065844, 15.647972509057974, 13.294503752118132, 6.400818084133517, 6.157861534737352, 5.043538408779149, 6.843145438957476, 2.952041955942871, 2.31475902002481, 1.328594505811855, 0.0, 17.912082368827164, 14.614539563930402, 11.573795100124048, 8.856125867828611, 13.686290877914953, 7.06095377229081, 6.157861534737352, 4.572012917238227, 6.647251876059066, 5.215990836352659, 2.913983307613169, 1.3429958582238153, 0.0), # 88
(18.11484133118626, 14.701893498606132, 14.544889017489714, 15.612678034420288, 13.276204308884047, 6.387026771833563, 6.132254089290037, 5.0216498628257895, 6.830701474622771, 2.942064449285888, 2.3063519050150636, 1.3251715760594904, 0.0, 17.884375964506173, 14.576887336654393, 11.531759525075316, 8.826193347857663, 13.661402949245542, 7.0303098079561055, 6.132254089290037, 4.562161979881116, 6.638102154442024, 5.2042260114734304, 2.908977803497943, 1.3365357726005578, 0.0), # 89
(18.068478260869565, 14.630443548387097, 14.519531250000002, 15.576817255434786, 13.257352941176471, 6.372916666666668, 6.106512605042017, 5.0, 6.818125, 2.9320588235294123, 2.2978169856459334, 1.3217105263157898, 0.0, 17.855859375, 14.538815789473684, 11.489084928229666, 8.796176470588236, 13.63625, 7.0, 6.106512605042017, 4.552083333333334, 6.6286764705882355, 5.192272418478263, 2.903906250000001, 1.3300403225806454, 0.0), # 90
(18.020955770263015, 14.558638759458383, 14.493849408436214, 15.540418432971018, 13.237978697651899, 6.35851849565615, 6.0806466265518555, 4.978597050754459, 6.80542753772291, 2.922025311062697, 2.2891672337409186, 1.3182130893076314, 0.0, 17.826578896604936, 14.500343982383942, 11.445836168704592, 8.76607593318809, 13.61085507544582, 6.9700358710562424, 6.0806466265518555, 4.541798925468679, 6.6189893488259495, 5.180139477657007, 2.898769881687243, 1.3235126144962168, 0.0), # 91
(17.97235630703167, 14.486513301473519, 14.467849665637862, 15.50350982789855, 13.218110626966835, 6.343862985825332, 6.054665698378118, 4.957449245541839, 6.7926206104252405, 2.9119641442749944, 2.2804156211235163, 1.3146809977618947, 0.0, 17.796580825617283, 14.46149097538084, 11.40207810561758, 8.735892432824983, 13.585241220850481, 6.940428943758574, 6.054665698378118, 4.531330704160951, 6.609055313483418, 5.167836609299518, 2.8935699331275724, 1.3169557546794108, 0.0), # 92
(17.92276231884058, 14.414101344086022, 14.441538194444446, 15.46611970108696, 13.197777777777777, 6.328980864197531, 6.0285793650793655, 4.936564814814815, 6.779715740740741, 2.9018755555555558, 2.2715751196172254, 1.3111159844054583, 0.0, 17.76591145833333, 14.422275828460037, 11.357875598086125, 8.705626666666666, 13.559431481481482, 6.911190740740742, 6.0285793650793655, 4.520700617283951, 6.598888888888888, 5.155373233695654, 2.888307638888889, 1.3103728494623659, 0.0), # 93
(17.872256253354806, 14.341437056949422, 14.414921167695475, 15.428276313405796, 13.177009198741224, 6.313902857796068, 6.002397171214165, 4.915951989026064, 6.766724451303155, 2.891759777293634, 2.2626587010455435, 1.3075197819652014, 0.0, 17.734617091049383, 14.382717601617212, 11.313293505227715, 8.675279331880901, 13.53344890260631, 6.88233278463649, 6.002397171214165, 4.509930612711477, 6.588504599370612, 5.1427587711352665, 2.882984233539095, 1.3037670051772203, 0.0), # 94
(17.820920558239397, 14.268554609717246, 14.388004758230455, 15.390007925724635, 13.155833938513677, 6.298659693644262, 5.97612866134108, 4.895618998628259, 6.753658264746228, 2.88161704187848, 2.253679337231969, 1.3038941231680024, 0.0, 17.70274402006173, 14.342835354848022, 11.268396686159845, 8.644851125635439, 13.507316529492456, 6.853866598079563, 5.97612866134108, 4.49904263831733, 6.577916969256838, 5.130002641908213, 2.8776009516460914, 1.2971413281561135, 0.0), # 95
(17.76883768115942, 14.195488172043014, 14.360795138888891, 15.351342798913045, 13.134281045751635, 6.283282098765432, 5.9497833800186735, 4.875574074074075, 6.740528703703703, 2.8714475816993468, 2.2446500000000005, 1.300240740740741, 0.0, 17.67033854166667, 14.30264814814815, 11.22325, 8.614342745098039, 13.481057407407405, 6.825803703703705, 5.9497833800186735, 4.488058641975309, 6.5671405228758175, 5.117114266304349, 2.8721590277777787, 1.2904989247311833, 0.0), # 96
(17.716090069779927, 14.12227191358025, 14.333298482510289, 15.31230919384058, 13.112379569111596, 6.267800800182899, 5.9233708718055125, 4.855825445816188, 6.727347290809328, 2.8612516291454857, 2.235583661173135, 1.2965613674102956, 0.0, 17.637446952160495, 14.262175041513249, 11.177918305865674, 8.583754887436456, 13.454694581618655, 6.798155624142662, 5.9233708718055125, 4.477000571559214, 6.556189784555798, 5.104103064613527, 2.8666596965020577, 1.2838429012345685, 0.0), # 97
(17.66276017176597, 14.048940003982477, 14.305520961934155, 15.27293537137681, 13.090158557250064, 6.252246524919983, 5.896900681260158, 4.83638134430727, 6.714125548696844, 2.851029416606149, 2.226493292574872, 1.2928577359035447, 0.0, 17.604115547839505, 14.22143509493899, 11.13246646287436, 8.553088249818446, 13.428251097393687, 6.770933882030178, 5.896900681260158, 4.465890374942845, 6.545079278625032, 5.090978457125605, 2.8611041923868314, 1.277176363998407, 0.0), # 98
(17.608930434782607, 13.975526612903225, 14.277468750000002, 15.233249592391303, 13.067647058823532, 6.23665, 5.870382352941177, 4.8172500000000005, 6.700875, 2.8407811764705886, 2.2173918660287084, 1.2891315789473687, 0.0, 17.570390625, 14.180447368421053, 11.086959330143541, 8.522343529411764, 13.40175, 6.744150000000001, 5.870382352941177, 4.45475, 6.533823529411766, 5.0777498641304355, 2.8554937500000004, 1.2705024193548389, 0.0), # 99
(17.5546833064949, 13.902065909996015, 14.249148019547325, 15.193280117753623, 13.044874122488501, 6.2210419524462734, 5.843825431407131, 4.798439643347051, 6.687607167352539, 2.8305071411280567, 2.2082923533581433, 1.285384629268645, 0.0, 17.536318479938274, 14.139230921955095, 11.041461766790714, 8.49152142338417, 13.375214334705078, 6.717815500685871, 5.843825431407131, 4.443601394604481, 6.522437061244251, 5.064426705917875, 2.8498296039094653, 1.2638241736360014, 0.0), # 100
(17.500101234567904, 13.828592064914377, 14.22056494341564, 15.153055208333335, 13.021868796901476, 6.205453109282122, 5.817239461216586, 4.7799585048010975, 6.674333573388203, 2.820207542967805, 2.1992077263866743, 1.281618619594253, 0.0, 17.501945408950615, 14.097804815536781, 10.99603863193337, 8.460622628903414, 13.348667146776407, 6.691941906721536, 5.817239461216586, 4.432466506630087, 6.510934398450738, 5.051018402777779, 2.8441129886831282, 1.2571447331740344, 0.0), # 101
(17.44526666666667, 13.755139247311828, 14.191725694444445, 15.112603125, 12.998660130718955, 6.189914197530865, 5.790633986928105, 4.761814814814815, 6.66106574074074, 2.809882614379086, 2.1901509569377993, 1.2778352826510724, 0.0, 17.467317708333336, 14.056188109161795, 10.950754784688995, 8.429647843137257, 13.32213148148148, 6.666540740740741, 5.790633986928105, 4.421367283950618, 6.499330065359477, 5.037534375000001, 2.838345138888889, 1.2504672043010754, 0.0), # 102
(17.390262050456254, 13.681741626841896, 14.16263644547325, 15.071952128623188, 12.975277172597433, 6.174455944215821, 5.764018553100253, 4.7440168038408785, 6.647815192043895, 2.7995325877511505, 2.181135016835017, 1.2740363511659811, 0.0, 17.432481674382714, 14.014399862825789, 10.905675084175085, 8.39859776325345, 13.29563038408779, 6.64162352537723, 5.764018553100253, 4.410325674439872, 6.487638586298717, 5.023984042874397, 2.8325272890946502, 1.2437946933492634, 0.0), # 103
(17.335169833601718, 13.608433373158105, 14.133303369341563, 15.031130480072465, 12.951748971193414, 6.159109076360311, 5.737402704291593, 4.7265727023319615, 6.634593449931413, 2.7891576954732518, 2.1721728779018252, 1.2702235578658583, 0.0, 17.397483603395063, 13.972459136524439, 10.860864389509127, 8.367473086419754, 13.269186899862826, 6.617201783264746, 5.737402704291593, 4.399363625971651, 6.475874485596707, 5.010376826690822, 2.826660673868313, 1.237130306650737, 0.0), # 104
(17.280072463768114, 13.535248655913978, 14.103732638888891, 14.99016644021739, 12.928104575163397, 6.143904320987655, 5.710795985060692, 4.709490740740741, 6.621412037037037, 2.7787581699346413, 2.1632775119617227, 1.2663986354775831, 0.0, 17.362369791666666, 13.930384990253412, 10.816387559808613, 8.336274509803923, 13.242824074074074, 6.5932870370370384, 5.710795985060692, 4.388503086419754, 6.464052287581699, 4.996722146739131, 2.820746527777778, 1.2304771505376346, 0.0), # 105
(17.225052388620504, 13.462221644763043, 14.073930426954732, 14.949088269927536, 12.904373033163882, 6.128872405121171, 5.68420793996611, 4.6927791495198905, 6.608282475994512, 2.7683342435245706, 2.1544618908382067, 1.2625633167280343, 0.0, 17.327186535493826, 13.888196484008375, 10.772309454191033, 8.30500273057371, 13.216564951989024, 6.5698908093278465, 5.68420793996611, 4.377766003657979, 6.452186516581941, 4.98302942330918, 2.8147860853909465, 1.223838331342095, 0.0), # 106
(17.17019205582394, 13.389386509358822, 14.043902906378605, 14.907924230072464, 12.880583393851367, 6.114044055784181, 5.657648113566415, 4.6764461591220865, 6.595216289437586, 2.7578861486322928, 2.145738986354776, 1.2587193343440908, 0.0, 17.29198013117284, 13.845912677784996, 10.728694931773878, 8.273658445896878, 13.190432578875171, 6.547024622770921, 5.657648113566415, 4.367174325560129, 6.440291696925684, 4.969308076690822, 2.808780581275721, 1.2172169553962566, 0.0), # 107
(17.11557391304348, 13.31677741935484, 14.013656250000002, 14.866702581521741, 12.856764705882352, 6.099450000000001, 5.631126050420168, 4.660500000000001, 6.582225000000001, 2.7474141176470597, 2.1371217703349283, 1.2548684210526317, 0.0, 17.256796875000003, 13.803552631578947, 10.685608851674642, 8.242242352941178, 13.164450000000002, 6.524700000000001, 5.631126050420168, 4.356750000000001, 6.428382352941176, 4.955567527173915, 2.8027312500000003, 1.2106161290322583, 0.0), # 108
(17.061280407944178, 13.24442854440462, 13.983196630658439, 14.825451585144926, 12.832946017913338, 6.085120964791952, 5.604651295085936, 4.644948902606311, 6.569320130315501, 2.736918382958122, 2.1286232146021624, 1.2510123095805359, 0.0, 17.221683063271605, 13.761135405385891, 10.64311607301081, 8.210755148874364, 13.138640260631002, 6.502928463648835, 5.604651295085936, 4.346514974851394, 6.416473008956669, 4.941817195048309, 2.796639326131688, 1.2040389585822384, 0.0), # 109
(17.007393988191087, 13.17237405416169, 13.95253022119342, 14.784199501811596, 12.809156378600825, 6.071087677183356, 5.57823339212228, 4.62980109739369, 6.556513203017833, 2.726399176954733, 2.120256290979975, 1.2471527326546823, 0.0, 17.18668499228395, 13.718680059201501, 10.601281454899876, 8.179197530864197, 13.113026406035665, 6.4817215363511655, 5.57823339212228, 4.336491197988112, 6.404578189300413, 4.928066500603866, 2.790506044238684, 1.1974885503783357, 0.0), # 110
(16.953997101449275, 13.10064811827957, 13.921663194444447, 14.742974592391306, 12.785424836601308, 6.0573808641975315, 5.551881886087768, 4.615064814814815, 6.543815740740741, 2.715856732026144, 2.1120339712918663, 1.2432914230019496, 0.0, 17.151848958333336, 13.676205653021444, 10.56016985645933, 8.147570196078432, 13.087631481481482, 6.461090740740741, 5.551881886087768, 4.326700617283951, 6.392712418300654, 4.914324864130436, 2.78433263888889, 1.1909680107526885, 0.0), # 111
(16.90117219538379, 13.029284906411787, 13.890601723251033, 14.701805117753622, 12.76178044057129, 6.044031252857797, 5.5256063215409625, 4.60074828532236, 6.531239266117969, 2.7052912805616076, 2.103969227361333, 1.2394301133492167, 0.0, 17.11722125771605, 13.633731246841382, 10.519846136806663, 8.115873841684822, 13.062478532235938, 6.441047599451304, 5.5256063215409625, 4.3171651806127125, 6.380890220285645, 4.900601705917875, 2.778120344650207, 1.1844804460374354, 0.0), # 112
(16.84890760266548, 12.958437720996821, 13.859426742378105, 14.660775741364255, 12.738210816208445, 6.03106325767524, 5.499473367291093, 4.586889426585454, 6.518827686755172, 2.694737131475729, 2.0960771718458604, 1.2355789404756645, 0.0, 17.0827990215178, 13.591368345232306, 10.480385859229301, 8.084211394427186, 13.037655373510344, 6.421645197219636, 5.499473367291093, 4.307902326910885, 6.369105408104223, 4.886925247121419, 2.7718853484756214, 1.178039792817893, 0.0), # 113
(16.796665616220118, 12.888805352817133, 13.828568512532428, 14.620215718724406, 12.71447202547959, 6.018447338956397, 5.473816387569522, 4.57365844462884, 6.506771421427836, 2.684391825560753, 2.0883733011339594, 1.2317868258169462, 0.0, 17.048295745488062, 13.549655083986407, 10.441866505669795, 8.053175476682258, 13.013542842855673, 6.403121822480377, 5.473816387569522, 4.298890956397426, 6.357236012739795, 4.873405239574803, 2.7657137025064857, 1.1717095775288306, 0.0), # 114
(16.744292825407193, 12.820412877827026, 13.798045399060976, 14.580114081995404, 12.690489213466321, 6.006150688123703, 5.448653685172405, 4.561051990709032, 6.495074987201274, 2.674271397594635, 2.0808463534281283, 1.2280556373838278, 0.0, 17.013611936988678, 13.508612011222104, 10.404231767140642, 8.022814192783905, 12.990149974402549, 6.385472786992645, 5.448653685172405, 4.290107634374073, 6.345244606733161, 4.860038027331802, 2.7596090798121957, 1.165492079802457, 0.0), # 115
(16.691723771827743, 12.753160664131308, 13.767798284975811, 14.540399302859647, 12.666226231660534, 5.994144321151453, 5.423944335775104, 4.549035234674245, 6.483708803536698, 2.6643570113022967, 2.0734817793814444, 1.224378479623102, 0.0, 16.978693067560602, 13.46816327585412, 10.367408896907222, 7.9930710339068884, 12.967417607073395, 6.368649328543944, 5.423944335775104, 4.281531657965324, 6.333113115830267, 4.846799767619883, 2.7535596569951624, 1.1593782421937553, 0.0), # 116
(16.63889299708279, 12.686949079834788, 13.73776805328898, 14.50099985299953, 12.641646931554131, 5.982399254013936, 5.399647415052978, 4.537573346372689, 6.472643289895322, 2.6546298304086586, 2.0662650296469853, 1.2207484569815625, 0.0, 16.943484608744804, 13.428233026797187, 10.331325148234924, 7.963889491225975, 12.945286579790643, 6.352602684921765, 5.399647415052978, 4.2731423242956685, 6.320823465777066, 4.833666617666511, 2.747553610657796, 1.1533590072577082, 0.0), # 117
(16.58573504277338, 12.621678493042284, 13.707895587012551, 14.461844204097451, 12.616715164639011, 5.970886502685445, 5.375721998681383, 4.526631495652572, 6.461848865738361, 2.6450710186386424, 2.0591815548778274, 1.2171586739060027, 0.0, 16.907932032082243, 13.388745412966028, 10.295907774389137, 7.935213055915925, 12.923697731476722, 6.337284093913602, 5.375721998681383, 4.264918930489604, 6.3083575823195055, 4.820614734699151, 2.74157911740251, 1.1474253175492988, 0.0), # 118
(16.532184450500534, 12.557249271858602, 13.678121769158587, 14.422860827835802, 12.591394782407065, 5.9595770831402755, 5.35212716233568, 4.516174852362109, 6.451295950527026, 2.6356617397171678, 2.0522168057270487, 1.2136022348432152, 0.0, 16.87198080911388, 13.349624583275366, 10.261084028635242, 7.906985219151502, 12.902591901054052, 6.322644793306953, 5.35212716233568, 4.256840773671625, 6.295697391203532, 4.807620275945268, 2.7356243538317178, 1.1415681156235096, 0.0), # 119
(16.47817576186529, 12.49356178438856, 13.648387482739144, 14.383978195896983, 12.565649636350196, 5.948442011352714, 5.3288219816912274, 4.506168586349507, 6.440954963722534, 2.626383157369158, 2.045356232847725, 1.2100722442399947, 0.0, 16.835576411380675, 13.31079468663994, 10.226781164238623, 7.879149472107472, 12.881909927445069, 6.308636020889311, 5.3288219816912274, 4.248887150966224, 6.282824818175098, 4.794659398632328, 2.7296774965478288, 1.1357783440353237, 0.0), # 120
(16.423643518468683, 12.430516398736968, 13.618633610766281, 14.345124779963385, 12.539443577960302, 5.937452303297058, 5.305765532423383, 4.49657786746298, 6.430796324786099, 2.6172164353195337, 2.038585286892935, 1.2065618065431336, 0.0, 16.79866431042359, 13.272179871974467, 10.192926434464676, 7.8516493059586, 12.861592649572199, 6.295209014448172, 5.305765532423383, 4.2410373594978985, 6.269721788980151, 4.781708259987796, 2.7237267221532564, 1.1300469453397246, 0.0), # 121
(16.36852226191174, 12.368013483008635, 13.588801036252066, 14.306229051717406, 12.51274045872928, 5.926578974947596, 5.282916890207506, 4.487367865550737, 6.420790453178933, 2.6081427372932153, 2.0318894185157554, 1.2030640261994254, 0.0, 16.761189977783587, 13.233704288193676, 10.159447092578777, 7.824428211879645, 12.841580906357866, 6.282315011771032, 5.282916890207506, 4.2332706963911395, 6.25637022936464, 4.768743017239136, 2.7177602072504135, 1.1243648620916942, 0.0), # 122
(16.312746533795494, 12.305953405308378, 13.558830642208555, 14.267219482841437, 12.485504130149028, 5.915793042278621, 5.260235130718955, 4.478503750460988, 6.410907768362252, 2.5991432270151247, 2.0252540783692634, 1.1995720076556633, 0.0, 16.72309888500163, 13.195292084212294, 10.126270391846315, 7.797429681045372, 12.821815536724504, 6.269905250645383, 5.260235130718955, 4.225566458770444, 6.242752065074514, 4.755739827613813, 2.711766128441711, 1.1187230368462162, 0.0), # 123
(16.256250875720976, 12.244236533741004, 13.528663311647806, 14.228024545017881, 12.457698443711445, 5.905065521264426, 5.237679329633088, 4.469950692041945, 6.401118689797269, 2.590199068210183, 2.018664717106536, 1.1960788553586414, 0.0, 16.68433650361868, 13.156867408945052, 10.09332358553268, 7.770597204630548, 12.802237379594539, 6.257930968858723, 5.237679329633088, 4.217903943760304, 6.2288492218557225, 4.742674848339295, 2.7057326623295617, 1.1131124121582732, 0.0), # 124
(16.198969829289226, 12.18276323641133, 13.498239927581887, 14.188572709929128, 12.429287250908427, 5.894367427879304, 5.215208562625265, 4.461673860141818, 6.391393636945196, 2.5812914246033105, 2.012106785380651, 1.1925776737551523, 0.0, 16.644848305175692, 13.118354411306674, 10.060533926903252, 7.74387427380993, 12.782787273890392, 6.246343404198546, 5.215208562625265, 4.210262448485217, 6.2146436254542134, 4.7295242366430434, 2.6996479855163775, 1.1075239305828484, 0.0), # 125
(16.14083793610127, 12.121433881424165, 13.46750137302285, 14.148792449257574, 12.400234403231872, 5.883669778097547, 5.192781905370843, 4.453638424608819, 6.381703029267251, 2.57240145991943, 2.005565733844684, 1.1890615672919902, 0.0, 16.604579761213643, 13.079677240211891, 10.02782866922342, 7.717204379758288, 12.763406058534501, 6.235093794452347, 5.192781905370843, 4.202621270069677, 6.200117201615936, 4.716264149752526, 2.69350027460457, 1.1019485346749243, 0.0), # 126
(16.08178973775815, 12.06014883688432, 13.436388530982757, 14.108612234685616, 12.370503752173677, 5.872943587893444, 5.170358433545185, 4.445809555291159, 6.3720172862246445, 2.563510337883461, 1.9990270131517138, 1.1855236404159475, 0.0, 16.56347634327348, 13.040760044575421, 9.99513506575857, 7.690531013650382, 12.744034572449289, 6.224133377407623, 5.170358433545185, 4.194959705638174, 6.185251876086839, 4.702870744895206, 2.6872777061965514, 1.0963771669894837, 0.0), # 127
(16.021759775860883, 11.998808470896611, 13.404842284473675, 14.06796053789565, 12.340059149225747, 5.862159873241292, 5.147897222823644, 4.438152422037048, 6.362306827278591, 2.554599222220326, 1.9924760739548175, 1.1819569975738184, 0.0, 16.521483522896165, 13.001526973312, 9.962380369774086, 7.663797666660978, 12.724613654557182, 6.2134133908518665, 5.147897222823644, 4.187257052315209, 6.170029574612873, 4.689320179298551, 2.680968456894735, 1.0908007700815103, 0.0), # 128
(15.960682592010507, 11.937313151565847, 13.37280351650766, 14.026765830570064, 12.308864445879973, 5.85128965011538, 5.125357348881582, 4.430632194694696, 6.352542071890305, 2.5456492766549457, 1.9858983669070716, 1.1783547432123955, 0.0, 16.478546771622668, 12.96190217533635, 9.929491834535357, 7.636947829964836, 12.70508414378061, 6.202885072572574, 5.125357348881582, 4.179492607225272, 6.154432222939986, 4.675588610190022, 2.6745607033015326, 1.0852102865059863, 0.0), # 129
(15.89849272780806, 11.875563246996844, 13.34021311009677, 13.984956584391266, 12.276883493628256, 5.840303934489999, 5.102697887394356, 4.423214043112313, 6.342693439521001, 2.536641664912241, 1.9792793426615536, 1.174709981778473, 0.0, 16.434611560993947, 12.921809799563201, 9.896396713307768, 7.609924994736723, 12.685386879042001, 6.192499660357238, 5.102697887394356, 4.171645667492856, 6.138441746814128, 4.66165219479709, 2.668042622019354, 1.0795966588178951, 0.0), # 130
(15.83512472485457, 11.81345912529441, 13.307011948253072, 13.942461271041642, 12.244080143962494, 5.829173742339445, 5.079877914037328, 4.415863137138113, 6.332731349631892, 2.527557550717134, 1.9726044518713404, 1.1710158177188439, 0.0, 16.38962336255096, 12.88117399490728, 9.863022259356702, 7.5826726521514, 12.665462699263784, 6.182208391993358, 5.079877914037328, 4.16369553024246, 6.122040071981247, 4.647487090347215, 2.6614023896506143, 1.073950829572219, 0.0), # 131
(15.770513124751067, 11.750901154563357, 13.27314091398862, 13.899208362203591, 12.210418248374584, 5.817870089638008, 5.056856504485853, 4.408544646620305, 6.322626221684192, 2.5183780977945447, 1.9658591451895095, 1.1672653554803014, 0.0, 16.343527647834676, 12.839918910283313, 9.829295725947548, 7.555134293383633, 12.645252443368385, 6.171962505268427, 5.056856504485853, 4.155621492598577, 6.105209124187292, 4.633069454067865, 2.654628182797724, 1.0682637413239418, 0.0), # 132
(15.704592469098595, 11.687789702908498, 13.238540890315475, 13.855126329559509, 12.175861658356425, 5.80636399235998, 5.03359273441529, 4.4012237414071, 6.312348475139116, 2.509084469869395, 1.9590288732691383, 1.1634516995096391, 0.0, 16.296269888386057, 12.797968694606027, 9.795144366345692, 7.527253409608184, 12.624696950278231, 6.1617132379699395, 5.03359273441529, 4.1474028516857, 6.087930829178212, 4.618375443186504, 2.647708178063095, 1.0625263366280455, 0.0), # 133
(15.63729729949817, 11.624025138434646, 13.203152760245707, 13.81014364479179, 12.14037422539991, 5.794626466479654, 5.010045679501001, 4.3938655913467075, 6.301868529457877, 2.499657830666606, 1.952099086763304, 1.1595679542536501, 0.0, 16.24779555574605, 12.755247496790147, 9.76049543381652, 7.498973491999817, 12.603737058915755, 6.151411827885391, 5.010045679501001, 4.139018904628324, 6.070187112699955, 4.6033812149305975, 2.6406305520491418, 1.0567295580395135, 0.0), # 134
(15.568562157550836, 11.559507829246614, 13.166917406791363, 13.764188779582833, 12.103919800996945, 5.7826285279713225, 4.986174415418341, 4.3864353662873405, 6.291156804101687, 2.4900793439110998, 1.945055236325083, 1.155607224159128, 0.0, 16.198050121455637, 12.711679465750406, 9.725276181625414, 7.470238031733298, 12.582313608203375, 6.141009512802277, 4.986174415418341, 4.130448948550945, 6.051959900498472, 4.588062926527612, 2.633383481358273, 1.0508643481133288, 0.0), # 135
(15.498321584857623, 11.494138143449213, 13.129775712964513, 13.717190205615022, 12.066462236639419, 5.770341192809277, 4.961938017842671, 4.378898236077208, 6.280183718531764, 2.4803301733277956, 1.9378827726075534, 1.1515626136728663, 0.0, 16.146979057055766, 12.667188750401527, 9.689413863037766, 7.4409905199833855, 12.560367437063528, 6.130457530508091, 4.961938017842671, 4.121672280578055, 6.033231118319709, 4.572396735205008, 2.6259551425929026, 1.044921649404474, 0.0), # 136
(15.426510123019561, 11.427816449147253, 13.091668561777217, 13.66907639457077, 12.02796538381924, 5.757735476967808, 4.93729556244935, 4.371219370564522, 6.2689196922093195, 2.4703914826416162, 1.930567146263792, 1.1474272272416581, 0.0, 16.094527834087398, 12.621699499658236, 9.652835731318959, 7.411174447924847, 12.537839384418639, 6.119707118790331, 4.93729556244935, 4.112668197834148, 6.01398269190962, 4.556358798190257, 2.6183337123554433, 1.0388924044679322, 0.0), # 137
(15.353062313637686, 11.360443114445548, 13.052536836241526, 13.619775818132457, 11.988393094028304, 5.744782396421213, 4.912206124913734, 4.363363939597493, 6.257335144595569, 2.4602444355774815, 1.9230938079468758, 1.143194169312297, 0.0, 16.040641924091503, 12.575135862435264, 9.615469039734378, 7.380733306732443, 12.514670289191137, 6.10870951543649, 4.912206124913734, 4.103415997443723, 5.994196547014152, 4.5399252727108195, 2.6105073672483052, 1.0327675558586864, 0.0), # 138
(15.277912698313022, 11.29191850744891, 13.01232141936951, 13.569216947982484, 11.947709218758497, 5.731452967143778, 4.886628780911184, 4.355297113024331, 6.245400495151722, 2.449870195860314, 1.9154482083098823, 1.1388565443315761, 0.0, 15.985266798609034, 12.527421987647335, 9.577241041549412, 7.3496105875809405, 12.490800990303445, 6.0974159582340635, 4.886628780911184, 4.093894976531271, 5.973854609379249, 4.523072315994162, 2.602464283873902, 1.0265380461317193, 0.0), # 139
(15.200995818646616, 11.22214299626215, 12.970963194173232, 13.51732825580325, 11.905877609501736, 5.717718205109798, 4.860522606117057, 4.346984060693248, 6.233086163338999, 2.439249927215034, 1.9076157980058883, 1.134407456746289, 0.0, 15.928347929180966, 12.478482024209175, 9.538078990029442, 7.3177497816451, 12.466172326677999, 6.085777684970546, 4.860522606117057, 4.084084432221284, 5.952938804750868, 4.505776085267751, 2.5941926388346466, 1.020194817842014, 0.0), # 140
(15.122246216239494, 11.151016948990085, 12.92840304366474, 13.464038213277146, 11.862862117749902, 5.7035491262935665, 4.833846676206716, 4.338389952452453, 6.220362568618608, 2.4283647933665637, 1.8995820276879718, 1.129840011003229, 0.0, 15.869830787348244, 12.428240121035515, 9.497910138439858, 7.2850943800996895, 12.440725137237216, 6.073745933433434, 4.833846676206716, 4.0739636616382615, 5.931431058874951, 4.48801273775905, 2.5856806087329485, 1.0137288135445532, 0.0), # 141
(15.041598432692682, 11.07844073373752, 12.884581850856106, 13.409275292086573, 11.818626594994903, 5.688916746669374, 4.806560066855513, 4.329479958150158, 6.207200130451765, 2.417195958039823, 1.8913323480092095, 1.1251473115491895, 0.0, 15.80966084465184, 12.37662042704108, 9.456661740046046, 7.251587874119467, 12.41440026090353, 6.061271941410222, 4.806560066855513, 4.063511961906696, 5.909313297497452, 4.469758430695525, 2.5769163701712214, 1.00713097579432, 0.0), # 142
(14.958987009607215, 11.004314718609267, 12.839440498759389, 13.352967963913915, 11.773134892728635, 5.673792082211512, 4.778621853738811, 4.320219247634575, 6.1935692682996875, 2.405724584959734, 1.8828522096226783, 1.1203224628309636, 0.0, 15.747783572632711, 12.323547091140597, 9.41426104811339, 7.217173754879202, 12.387138536599375, 6.048306946688404, 4.778621853738811, 4.05270863015108, 5.886567446364317, 4.45098932130464, 2.5678880997518783, 1.0003922471462972, 0.0), # 143
(14.874346488584132, 10.928539271710147, 12.792919870386642, 13.29504470044158, 11.726350862442994, 5.658146148894274, 4.749991112531969, 4.310572990753912, 6.1794404016235855, 2.3939318378512175, 1.8741270631814555, 1.115358569295345, 0.0, 15.684144442831826, 12.268944262248793, 9.370635315907277, 7.181795513553651, 12.358880803247171, 6.034802187055478, 4.749991112531969, 4.04153296349591, 5.863175431221497, 4.431681566813861, 2.5585839740773286, 0.993503570155468, 0.0), # 144
(14.787611411224459, 10.851014761144963, 12.744960848749933, 13.235433973351956, 11.67823835562988, 5.641949962691953, 4.7206269189103445, 4.300506357356382, 6.164783949884672, 2.381798880439195, 1.865142359338619, 1.110248735389127, 0.0, 15.618688926790139, 12.212736089280396, 9.325711796693094, 7.145396641317584, 12.329567899769344, 6.020708900298935, 4.7206269189103445, 4.029964259065681, 5.83911917781494, 4.411811324450653, 2.548992169749987, 0.986455887376815, 0.0), # 145
(14.69871631912923, 10.771641555018533, 12.695504316861326, 13.174064254327444, 11.62876122378119, 5.62517453957884, 4.690488348549297, 4.289984517290195, 6.1495703325441635, 2.3693068764485874, 1.8558835487472447, 1.104986065559103, 0.0, 15.551362496048613, 12.154846721150133, 9.279417743736223, 7.107920629345761, 12.299140665088327, 6.005978324206273, 4.690488348549297, 4.0179818139848855, 5.814380611890595, 4.391354751442482, 2.539100863372265, 0.9792401413653213, 0.0), # 146
(14.607595753899481, 10.690320021435666, 12.644491157732865, 13.110864015050435, 11.577883318388821, 5.607790895529226, 4.659534477124183, 4.278972640403562, 6.133769969063274, 2.3564369896043162, 1.846336082060411, 1.0995636642520668, 0.0, 15.482110622148213, 12.095200306772732, 9.231680410302054, 7.069310968812948, 12.267539938126548, 5.990561696564987, 4.659534477124183, 4.005564925378019, 5.7889416591944105, 4.370288005016812, 2.5288982315465733, 0.9718472746759697, 0.0), # 147
(14.51418425713624, 10.606950528501175, 12.591862254376625, 13.045761727203324, 11.525568490944673, 5.5897700465174065, 4.627724380310364, 4.2674358965446935, 6.1173532789032175, 2.3431703836313016, 1.836485409931195, 1.0939746359148106, 0.0, 15.410878776629895, 12.033720995062914, 9.182427049655974, 7.029511150893903, 12.234706557806435, 5.974410255162571, 4.627724380310364, 3.9926928903695758, 5.762784245472337, 4.348587242401109, 2.5183724508753254, 0.9642682298637433, 0.0), # 148
(14.418416370440541, 10.52143344431987, 12.537558489804665, 12.97868586246851, 11.471780592940643, 5.57108300851767, 4.595017133783196, 4.255339455561801, 6.100290681525203, 2.3294882222544664, 1.8263169830126733, 1.0882120849941288, 0.0, 15.337612431034628, 11.970332934935415, 9.131584915063366, 6.988464666763398, 12.200581363050405, 5.957475237786521, 4.595017133783196, 3.9793450060840496, 5.735890296470322, 4.326228620822837, 2.507511697960933, 0.9564939494836247, 0.0), # 149
(14.320226635413416, 10.433669136996565, 12.481520747029043, 12.909564892528387, 11.416483475868631, 5.551700797504312, 4.561371813218041, 4.242648487303093, 6.0825525963904505, 2.31537166919873, 1.815816251957923, 1.0822691159368145, 0.0, 15.262257056903364, 11.904960275304958, 9.079081259789614, 6.946115007596189, 12.165105192780901, 5.93970788222433, 4.561371813218041, 3.9655005696459367, 5.7082417379343156, 4.303188297509463, 2.4963041494058085, 0.948515376090597, 0.0), # 150
(14.219549593655895, 10.343557974636072, 12.423689909061814, 12.838327289065347, 11.359640991220532, 5.531594429451621, 4.526747494290255, 4.229328161616783, 6.064109442960174, 2.3008018881890155, 1.8049686674200216, 1.0761388331896609, 0.0, 15.184758125777073, 11.837527165086268, 9.024843337100108, 6.902405664567045, 12.128218885920347, 5.921059426263496, 4.526747494290255, 3.951138878179729, 5.679820495610266, 4.27944242968845, 2.484737981812363, 0.9403234522396431, 0.0), # 151
(14.116319786769019, 10.251000325343204, 12.364006858915053, 12.76490152376179, 11.301216990488243, 5.510734920333892, 4.491103252675198, 4.215343648351081, 6.044931640695582, 2.2857600429502427, 1.7937596800520466, 1.0698143411994616, 0.0, 15.105061109196717, 11.767957753194075, 8.968798400260232, 6.857280128850727, 12.089863281391164, 5.901481107691514, 4.491103252675198, 3.936239228809923, 5.650608495244121, 4.254967174587264, 2.4728013717830106, 0.931909120485746, 0.0), # 152
(14.010471756353809, 10.155896557222773, 12.302412479600802, 12.68921606830011, 11.241175325163667, 5.489093286125417, 4.454398164048228, 4.200660117354197, 6.024989609057894, 2.2702272972073336, 1.782174740507075, 1.0632887444130097, 0.0, 15.02311147870325, 11.696176188543106, 8.910873702535374, 6.810681891622, 12.049979218115787, 5.880924164295876, 4.454398164048228, 3.920780918661012, 5.620587662581833, 4.229738689433371, 2.4604824959201608, 0.9232633233838886, 0.0), # 153
(13.901940044011312, 10.05814703837959, 12.238847654131138, 12.611199394362703, 11.179479846738696, 5.466640542800487, 4.416591304084705, 4.185242738474343, 6.00425376750832, 2.254184814685209, 1.7701992994381837, 1.0565551472770989, 0.0, 14.938854705837642, 11.622106620048086, 8.850996497190918, 6.762554444055626, 12.00850753501664, 5.85933983386408, 4.416591304084705, 3.904743244857491, 5.589739923369348, 4.203733131454236, 2.447769530826228, 0.9143770034890537, 0.0), # 154
(13.790659191342543, 9.957652136918465, 12.173253265518113, 12.530779973631962, 11.116094406705237, 5.443347706333395, 4.377641748459985, 4.169056681559727, 5.982694535508077, 2.23761375910879, 1.7578188074984502, 1.0496066542385225, 0.0, 14.852236262140847, 11.545673196623744, 8.789094037492251, 6.712841277326369, 11.965389071016155, 5.836679354183619, 4.377641748459985, 3.8881055045238533, 5.5580472033526185, 4.176926657877321, 2.4346506531036227, 0.9052411033562243, 0.0), # 155
(13.676563739948545, 9.854312220944214, 12.10557019677379, 12.447886277790282, 11.050982856555176, 5.419185792698435, 4.33750857284943, 4.152067116458564, 5.960282332518376, 2.220495294202998, 1.7450187153409518, 1.0424363697440735, 0.0, 14.763201619153833, 11.466800067184806, 8.725093576704758, 6.661485882608993, 11.920564665036752, 5.81289396304199, 4.33750857284943, 3.870846994784596, 5.525491428277588, 4.149295425930095, 2.4211140393547583, 0.8958465655403832, 0.0), # 156
(13.559588231430352, 9.748027658561648, 12.035739330910227, 12.362446778520066, 10.984109047780422, 5.394125817869895, 4.296150852928397, 4.134239213019062, 5.9369875780004335, 2.202810583692754, 1.731784473618765, 1.0350373982405456, 0.0, 14.671696248417557, 11.385411380646001, 8.658922368093824, 6.60843175107826, 11.873975156000867, 5.787934898226687, 4.296150852928397, 3.8529470127642105, 5.492054523890211, 4.120815592840023, 2.407147866182046, 0.8861843325965136, 0.0), # 157
(13.43642570352943, 9.636747649274225, 11.960387930853534, 12.27118893522918, 10.912417327045198, 5.366575700132966, 4.252596048835072, 4.1143477142620295, 5.910997254959458, 2.1840146623310153, 1.717678725761683, 1.027139934629151, 0.0, 14.573674546947622, 11.298539280920659, 8.588393628808413, 6.552043986993045, 11.821994509918916, 5.7600867999668415, 4.252596048835072, 3.833268357237833, 5.456208663522599, 4.090396311743061, 2.3920775861707066, 0.8760679681158388, 0.0), # 158
(13.288116180561124, 9.509057777339137, 11.860106727604483, 12.155369164364412, 10.818229571737954, 5.327374130407459, 4.201391487047145, 4.085410149573287, 5.871856356733287, 2.161026447344436, 1.7002250806856987, 1.0172043785524665, 0.0, 14.445769764456351, 11.189248164077128, 8.501125403428492, 6.483079342033307, 11.743712713466573, 5.719574209402602, 4.201391487047145, 3.8052672360053275, 5.409114785868977, 4.051789721454805, 2.372021345520897, 0.8644597979399218, 0.0), # 159
(13.112769770827757, 9.363909602092178, 11.732881436933834, 12.013079639051961, 10.699704157616154, 5.275558360850069, 4.142019373545406, 4.04669939214551, 5.818455136337191, 2.1335425433383026, 1.6791778525828622, 1.0050752923331772, 0.0, 14.285557096008445, 11.055828215664945, 8.39588926291431, 6.400627630014906, 11.636910272674381, 5.665379149003714, 4.142019373545406, 3.7682559720357633, 5.349852078808077, 4.004359879683988, 2.346576287386767, 0.8512645092811072, 0.0), # 160
(12.911799698254727, 9.202249432332774, 11.580070457865464, 11.845672880071582, 10.558071749138534, 5.21175610364883, 4.0749133014061885, 3.9987003998323356, 5.751497860199411, 2.101796186926922, 1.6547224963799123, 0.9908651203361357, 0.0, 14.094673280674375, 10.899516323697492, 8.273612481899562, 6.305388560780765, 11.502995720398822, 5.59818055976527, 4.0749133014061885, 3.722682931177736, 5.279035874569267, 3.9485576266905285, 2.3160140915730927, 0.8365681302120704, 0.0), # 161
(12.686619186767443, 9.025023576860344, 11.403032189423245, 11.654501408203041, 10.394563010763845, 5.1365950709917785, 4.000506863705828, 3.941898130487402, 5.6716887947481816, 2.0660206147246045, 1.6270444670035862, 0.9746863069261941, 0.0, 13.874755057524599, 10.721549376188133, 8.13522233501793, 6.198061844173813, 11.343377589496363, 5.518657382682362, 4.000506863705828, 3.668996479279842, 5.197281505381922, 3.884833802734348, 2.280606437884649, 0.8204566888054858, 0.0), # 162
(12.438641460291295, 8.833178344474314, 11.203125030631053, 11.44091774422611, 10.210408606950825, 5.050702975066952, 3.919233653520661, 3.876777541964344, 5.579732206411743, 2.0264490633456567, 1.5963292193806227, 0.956651296468205, 0.0, 13.627439165629584, 10.523164261150253, 7.9816460969031136, 6.079347190036969, 11.159464412823485, 5.427488558750082, 3.919233653520661, 3.6076449821906795, 5.105204303475412, 3.813639248075371, 2.2406250061262107, 0.8030162131340287, 0.0), # 163
(12.16927974275169, 8.627660043974105, 10.981707380512765, 11.206274408920553, 10.006839202158226, 4.954707528062387, 3.8315272639270197, 3.8038235921168018, 5.476332361618334, 1.9833147694043862, 1.562762208437759, 0.9368725333270206, 0.0, 13.35436234405979, 10.305597866597225, 7.813811042188794, 5.949944308213158, 10.952664723236667, 5.325353028963523, 3.8315272639270197, 3.5390768057588473, 5.003419601079113, 3.735424802973519, 2.1963414761025533, 0.7843327312703733, 0.0), # 164
(11.879947258074031, 8.409414984159142, 10.740137638092254, 10.95192392306614, 9.785085460844787, 4.849236442166116, 3.7378212880012396, 3.7235212387984102, 5.3621935267961875, 1.9368509695151015, 1.5265288891017337, 0.915462461867493, 0.0, 13.057161331885686, 10.070087080542422, 7.632644445508667, 5.810552908545303, 10.724387053592375, 5.2129297343177745, 3.7378212880012396, 3.4637403158329394, 4.892542730422393, 3.6506413076887143, 2.148027527618451, 0.7644922712871949, 0.0), # 165
(11.572057230183715, 8.17938947382885, 10.479774202393392, 10.679218807442627, 9.546378047469258, 4.734917429566179, 3.6385493188196576, 3.636355439862808, 5.2380199683735436, 1.8872909002921108, 1.4878147162992839, 0.8925335264544754, 0.0, 12.737472868177733, 9.817868790999228, 7.4390735814964195, 5.661872700876331, 10.476039936747087, 5.090897615807931, 3.6385493188196576, 3.3820838782615565, 4.773189023734629, 3.5597396024808767, 2.0959548404786785, 0.7435808612571683, 0.0), # 166
(11.24702288300614, 7.938529821782648, 10.201975472440058, 10.389511582829789, 9.291947626490376, 4.6123782024506115, 3.5341449494586072, 3.542811153163632, 5.104515952778639, 1.834867798349722, 1.4468051449571482, 0.8681981714528189, 0.0, 12.396933692006392, 9.550179885981006, 7.23402572478574, 5.504603395049164, 10.209031905557278, 4.959935614429085, 3.5341449494586072, 3.2945558588932937, 4.645973813245188, 3.4631705276099303, 2.040395094488012, 0.7216845292529681, 0.0), # 167
(10.906257440466712, 7.687782336819962, 9.908099847256123, 10.084154770007387, 9.023024862366888, 4.482246473007449, 3.425041772994424, 3.44337333655452, 4.962385746439713, 1.779814900302243, 1.4036856300020644, 0.8425688412273767, 0.0, 12.037180542442131, 9.268257253501142, 7.018428150010321, 5.339444700906728, 9.924771492879426, 4.820722671176328, 3.425041772994424, 3.2016046235767495, 4.511512431183444, 3.361384923335797, 1.9816199694512246, 0.6988893033472693, 0.0), # 168
(10.551174126490828, 7.428093327740216, 9.599505725865463, 9.76450088975519, 8.740840419557543, 4.3451499534247295, 3.3116733825034426, 3.338526947889109, 4.812333615785002, 1.7223654427639818, 1.3586416263607706, 0.8157579801430009, 0.0, 11.659850158555415, 8.97333778157301, 6.793208131803853, 5.167096328291944, 9.624667231570005, 4.673937727044753, 3.3116733825034426, 3.103678538160521, 4.370420209778771, 3.254833629918398, 1.9199011451730927, 0.675281211612747, 0.0), # 169
(10.18318616500389, 7.160409103342831, 9.277551507291953, 9.43190246285296, 8.44662496252108, 4.201716355890488, 3.1944733710619975, 3.228756945021036, 4.655063827242743, 1.6627526623492466, 1.311858588960005, 0.7878780325645439, 0.0, 11.2665792794167, 8.666658358209983, 6.559292944800025, 4.988257987047739, 9.310127654485486, 4.52025972302945, 3.1944733710619975, 3.0012259684932054, 4.22331248126054, 3.1439674876176547, 1.8555103014583907, 0.6509462821220756, 0.0), # 170
(9.8037067799313, 6.88567597242723, 8.943595590559468, 9.087712010080473, 8.141609155716246, 4.052573392592758, 3.0738753317464247, 3.1145482858039375, 4.491280647241173, 1.6012097956723452, 1.2635219727265048, 0.759041442856858, 0.0, 10.859004644096458, 8.349455871425437, 6.317609863632523, 4.803629387017034, 8.982561294482347, 4.360367600125513, 3.0738753317464247, 2.8946952804233987, 4.070804577858123, 3.029237336693492, 1.7887191181118935, 0.6259705429479302, 0.0), # 171
(9.414149195198457, 6.604840243792839, 8.59899637469188, 8.733282052217486, 7.827023663601784, 3.898348775719581, 2.950312857633059, 2.996385928091453, 4.321688342208532, 1.5379700793475863, 1.2138172325870082, 0.7293606553847958, 0.0, 10.438762991665145, 8.022967209232752, 6.069086162935041, 4.613910238042758, 8.643376684417063, 4.194940299328034, 2.950312857633059, 2.7845348397997007, 3.913511831800892, 2.911094017405829, 1.7197992749383764, 0.6004400221629854, 0.0), # 172
(9.015926634730764, 6.31884822623908, 8.245112258713068, 8.369965110043767, 7.504099150636442, 3.739670217458989, 2.824219541798235, 2.874754829737218, 4.146991178573053, 1.4732667499892769, 1.1629298234682535, 0.6989481145132089, 0.0, 10.007491061193234, 7.6884292596452966, 5.8146491173412675, 4.41980024996783, 8.293982357146106, 4.024656761632105, 2.824219541798235, 2.6711930124707064, 3.752049575318221, 2.7899883700145893, 1.6490224517426137, 0.5744407478399164, 0.0), # 173
(8.610452322453618, 6.028646228565374, 7.883301641646902, 7.99911370433908, 7.174066281278959, 3.57716542999902, 2.6960289773182877, 2.7501399485948705, 3.9678934227629785, 1.4073330442117262, 1.1110452002969786, 0.6679162646069503, 0.0, 9.566825591751181, 7.347078910676452, 5.555226001484892, 4.221999132635178, 7.935786845525957, 3.850195928032819, 2.6960289773182877, 2.5551181642850143, 3.5870331406394795, 2.6663712347796937, 1.5766603283293805, 0.5480587480513978, 0.0), # 174
(8.19913948229242, 5.7351805595711465, 7.514922922517262, 7.622080355883197, 6.838155719988082, 3.41146212552771, 2.566174757269552, 2.623026242518047, 3.7850993412065432, 1.3404021986292411, 1.058348817999921, 0.6363775500308723, 0.0, 9.118403322409455, 7.000153050339593, 5.291744089999604, 4.021206595887723, 7.5701986824130865, 3.6722367395252657, 2.566174757269552, 2.4367586610912215, 3.419077859994041, 2.540693451961066, 1.5029845845034526, 0.5213800508701043, 0.0), # 175
(7.783401338172574, 5.43939752805582, 7.141334500348018, 7.240217585455879, 6.497598131222556, 3.2431880162330953, 2.4350904747283635, 2.493898669360387, 3.5993132003319848, 1.2727074498561304, 1.0050261315038191, 0.6044444151498269, 0.0, 8.663860992238513, 6.648888566648095, 5.025130657519095, 3.8181223495683905, 7.1986264006639695, 3.4914581371045417, 2.4350904747283635, 2.3165628687379254, 3.248799065611278, 2.4134058618186267, 1.4282669000696038, 0.49449068436871096, 0.0), # 176
(7.364651114019479, 5.1422434428188195, 6.763894774163046, 6.8548779138368925, 6.1536241794411275, 3.0729708143032117, 2.303209722771056, 2.3632421869755245, 3.411239266567542, 1.2044820345067013, 0.9512625957354108, 0.5722293043286669, 0.0, 8.204835340308824, 6.2945223476153345, 4.756312978677054, 3.6134461035201033, 6.822478533135084, 3.3085390617657344, 2.303209722771056, 2.1949791530737226, 3.0768120897205637, 2.284959304612298, 1.3527789548326095, 0.4674766766198928, 0.0), # 177
(6.944302033758534, 4.8446646126595665, 6.383962142986221, 6.467413861806007, 5.807464529102536, 2.901438231926097, 2.170966094473966, 2.2315417532170994, 3.2215818063414514, 1.1359591891952627, 0.897243665621434, 0.5398446619322442, 0.0, 7.742963105690853, 5.938291281254685, 4.486218328107169, 3.4078775675857873, 6.443163612682903, 3.1241584545039394, 2.170966094473966, 2.072455879947212, 2.903732264551268, 2.1558046206020025, 1.2767924285972443, 0.44042405569632426, 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
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 121
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 122
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 123
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 124
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 125
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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), # 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
28, # 1
)
| 278.35508 | 490 | 0.771292 | 32,987 | 260,262 | 6.085034 | 0.234547 | 0.355109 | 0.340761 | 0.645653 | 0.366269 | 0.361112 | 0.360749 | 0.360609 | 0.360609 | 0.360609 | 0 | 0.851058 | 0.095035 | 260,262 | 934 | 491 | 278.653105 | 0.001185 | 0.015411 | 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 |
e3eba483068a3c405003dcb2345009672d278c22 | 26 | py | Python | examples/project5/two/c.py | jeanslack/winpackit | 44bfebcf2191fbc32acfa4a61e7c53d8a8fbae4d | [
"MIT"
] | 2 | 2021-09-19T21:34:13.000Z | 2021-11-25T07:27:29.000Z | examples/project5/two/c.py | jeanslack/winpackit | 44bfebcf2191fbc32acfa4a61e7c53d8a8fbae4d | [
"MIT"
] | 1 | 2021-09-19T23:20:02.000Z | 2021-09-22T17:35:08.000Z | examples/project5/two/c.py | jeanslack/winpackit | 44bfebcf2191fbc32acfa4a61e7c53d8a8fbae4d | [
"MIT"
] | 1 | 2021-09-21T22:01:45.000Z | 2021-09-21T22:01:45.000Z | print('this is two/c.py')
| 13 | 25 | 0.653846 | 6 | 26 | 2.833333 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.115385 | 26 | 1 | 26 | 26 | 0.73913 | 0 | 0 | 0 | 0 | 0 | 0.615385 | 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 |
582ca4576b2858a1d52540ea40fda9def2c7b114 | 30 | py | Python | LCDProteus/__init__.py | Hour-Sirak/LCD | 8a5269f0e05a21c05937652d4a7ce63db885b22b | [
"MIT"
] | null | null | null | LCDProteus/__init__.py | Hour-Sirak/LCD | 8a5269f0e05a21c05937652d4a7ce63db885b22b | [
"MIT"
] | null | null | null | LCDProteus/__init__.py | Hour-Sirak/LCD | 8a5269f0e05a21c05937652d4a7ce63db885b22b | [
"MIT"
] | null | null | null | from LCDProteus.lcd import Lcd | 30 | 30 | 0.866667 | 5 | 30 | 5.2 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.1 | 30 | 1 | 30 | 30 | 0.962963 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
5830600372f9f1059a1d380fb95ecf559fb9f11a | 134 | py | Python | SvnHack.py | hadeseve/INFO-Disclosure-tool | 74913a4d46cd0d652a03f41b0e1f1cd2e40efe8e | [
"MIT"
] | null | null | null | SvnHack.py | hadeseve/INFO-Disclosure-tool | 74913a4d46cd0d652a03f41b0e1f1cd2e40efe8e | [
"MIT"
] | null | null | null | SvnHack.py | hadeseve/INFO-Disclosure-tool | 74913a4d46cd0d652a03f41b0e1f1cd2e40efe8e | [
"MIT"
] | null | null | null | #####
#Author: LordCasser
#Date: 2020-03-26 12:29:40
#LastEditTime: 2020-03-26 12:29:40
#LastEditors: LordCasser
#Description:
#####
| 16.75 | 34 | 0.686567 | 19 | 134 | 4.842105 | 0.631579 | 0.130435 | 0.173913 | 0.217391 | 0.304348 | 0.304348 | 0 | 0 | 0 | 0 | 0 | 0.233333 | 0.104478 | 134 | 7 | 35 | 19.142857 | 0.533333 | 0.828358 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
584b30b5f57737cb7ab16680d38e5778632b3d6d | 102,019 | py | Python | likeyoubot_darkeden.py | dogfooter-master/dogfooter | e1e39375703fe3019af7976f97c44cf2cb7ca0fa | [
"MIT"
] | null | null | null | likeyoubot_darkeden.py | dogfooter-master/dogfooter | e1e39375703fe3019af7976f97c44cf2cb7ca0fa | [
"MIT"
] | null | null | null | likeyoubot_darkeden.py | dogfooter-master/dogfooter | e1e39375703fe3019af7976f97c44cf2cb7ca0fa | [
"MIT"
] | null | null | null | import likeyoubot_game as lybgame
import likeyoubot_darkeden_scene as lybscene
from likeyoubot_configure import LYBConstant as lybconstant
import time
import sys
import tkinter
from tkinter import ttk
from tkinter import font
import copy
class LYBDarkEden(lybgame.LYBGame):
work_list = [
'게임 시작',
'로그인',
'자동 사냥',
'메인 퀘스트',
'일일 퀘스트',
'지역 퀘스트',
'종족임무',
'일일임무',
'결투장',
'토벌대',
'판매',
'분해',
'가상수련장',
'특수던전',
'보상',
'이벤트',
'길드',
'뽑기',
'도감',
'알림',
'[반복 시작]',
'[반복 종료]',
'[작업 대기]',
'[작업 예약]',
'']
darkeden_icon_list = [
'darkeden_icon',
'darkeden_icon_2',
]
area_list = [
'에슬라니안 시',
'림보성 지역',
'드로베타 공단',
'브랑코 시티'
]
sub_area_list = [
[
'페이악 터널',
],
[
'고르고바 터널',
],
[
'드로베타 MID',
'드로베타 SW',
'드로베타 NE',
'드로베타 NW',
'아이센 던전 B1',
'라옴 던전 B1',
'드로베타 SE',
],
[
'브랑코 MID',
'브랑코 NW',
]
]
sub_area_dic = {
area_list[0]: sub_area_list[0],
area_list[1]: sub_area_list[1],
area_list[2]: sub_area_list[2],
area_list[3]: sub_area_list[3],
}
sub_area_monster_dic = {
sub_area_list[0][0] : [
'선택안함',
'미누투스',
'디오네아',
],
sub_area_list[1][0] : [
'선택안함',
'미누투스',
'디오네아',
],
sub_area_list[2][0] : [
'선택안함',
'거터미누투스',
'블루케니스',
'미스트앵글러',
'튜머뮤턴트',
'튜커클링커',
'인펙티드월딩봇',
'인펙티드트랜스포트봇',
],
sub_area_list[2][1] : [
'선택안함',
'빅맨티스',
],
sub_area_list[2][2] : [
'선택안함',
'알칸',
],
sub_area_list[2][3] : [
'선택안함',
'솔져',
'인페스트 레이디',
],
sub_area_list[2][4] : [
'선택안함',
],
sub_area_list[2][5] : [
'선택안함',
],
sub_area_list[2][6] : [
'선택안함',
'앵글러',
],
sub_area_list[3][0] : [
'선택안함',
'디케이리서치',
],
sub_area_list[3][1] : [
'선택안함',
'B-봇',
'세크워치봇',
],
}
sub_area_npc_dic = {
sub_area_list[0][0] : [
'선택안함',
],
sub_area_list[1][0] : [
'선택안함',
],
sub_area_list[2][0] : [
'선택안함',
],
sub_area_list[2][1] : [
'선택안함',
],
sub_area_list[2][2] : [
'선택안함',
],
sub_area_list[2][3] : [
'선택안함',
'애슬라니안 SW',
],
sub_area_list[2][4] : [
'선택안함',
'아이센 던전 B2',
],
sub_area_list[2][5] : [
'선택안함',
'라옴 던전 B2',
],
sub_area_list[3][0] : [
'선택안함',
],
sub_area_list[3][1] : [
'선택안함',
],
}
item_list = [
'무기',
'방어구',
'악세사리',
'제작재료',
]
item_quality_list = [
'일반',
'고급',
'희귀',
'영웅',
'전설',
]
special_dungeon_list = [
'재료',
'경험치',
'스킬',
'골드',
]
difficulty_list = [
'쉬움',
'보통',
'어려움',
]
option_list = [
'강화 아이템 포함',
'거래가능 아이템 포함',
]
guild_immu_list = [
'길드 레벨업',
'부수고 또 부수고',
'골드 사용',
'포션 사용',
'종족임무 수행',
'일일퀘스트 수행',
'지역퀘스트 완료',
]
dungeon_floor_list = [
'선택안함',
'아이센 던전 B2',
'아이센 던전 B3',
'아이센 던전 B4',
'라옴 던전 B2',
'라옴 던전 B3',
'라옴 던전 B4',
'라옴 던전 B5',
]
dungeon_floor_monster_list = [
[
'선택안함',
],
[
'선택안함',
'상급 페스트네일',
],
[
'선택안함',
],
[
'선택안함',
'다크헤이즈',
'인세이나',
],
[
'선택안함',
],
[
'선택안함',
],
[
'선택안함',
],
[
'선택안함',
'블런트크래그',
'허밋',
],
]
dungeon_floor_npc_list = [
[
'선택안함',
],
[
'선택안함',
'아이센 던전 B3',
],
[
'선택안함',
'아이센 던전 B4',
],
[
'선택안함',
'아이센 던전 B3',
],
[
'선택안함',
'라옴 던전 B3',
],
[
'선택안함',
'라옴 던전 B4',
],
[
'선택안함',
'라옴 던전 B5',
],
[
'선택안함',
],
]
dungeon_floor_monster_dic = {
dungeon_floor_list[0]: dungeon_floor_monster_list[0],
dungeon_floor_list[1]: dungeon_floor_monster_list[1],
dungeon_floor_list[2]: dungeon_floor_monster_list[2],
dungeon_floor_list[3]: dungeon_floor_monster_list[3],
dungeon_floor_list[4]: dungeon_floor_monster_list[4],
dungeon_floor_list[5]: dungeon_floor_monster_list[5],
dungeon_floor_list[6]: dungeon_floor_monster_list[6],
dungeon_floor_list[7]: dungeon_floor_monster_list[7],
}
dungeon_floor_npc_dic = {
dungeon_floor_list[0]: dungeon_floor_npc_list[0],
dungeon_floor_list[1]: dungeon_floor_npc_list[1],
dungeon_floor_list[2]: dungeon_floor_npc_list[2],
dungeon_floor_list[3]: dungeon_floor_npc_list[3],
dungeon_floor_list[4]: dungeon_floor_npc_list[4],
dungeon_floor_list[5]: dungeon_floor_npc_list[5],
dungeon_floor_list[6]: dungeon_floor_npc_list[6],
dungeon_floor_list[7]: dungeon_floor_npc_list[7],
}
quest_scene_jiyeok_list = [
'드로베타',
'브랑코',
]
quest_scene_jiyeok_quest_list = [
[
'드로베타 정화8',
],
[
'브랑코 정화1',
'브랑코 정화2',
]
]
quest_scene_jiyeok_quest_dic = {
quest_scene_jiyeok_list[0] : quest_scene_jiyeok_quest_list[0],
quest_scene_jiyeok_list[1] : quest_scene_jiyeok_quest_list[1],
}
def __init__(self, game_name, game_data_name, window):
lybgame.LYBGame.__init__(self, lybconstant.LYB_GAME_DARKEDEN, lybconstant.LYB_GAME_DATA_DARKEDEN, window)
def process(self, window_image):
rc = super(LYBDarkEden, self).process(window_image)
if rc < 0:
return rc
return rc
def custom_check(self, window_image, window_pixel):
resource_name = 'skip_dehwa_loc'
elapsed_time = time.time() - self.get_scene('main_scene').get_checkpoint(resource_name)
if elapsed_time > self.period_bot(5):
(loc_x, loc_y), match_rate = self.locationResourceOnWindowPart(
self.window_image,
resource_name,
custom_threshold=0.8,
custom_flag=1,
custom_rect=(710, 335, 790, 360)
)
if loc_x != -1:
self.get_scene('main_scene').set_checkpoint(resource_name)
self.logger.info('대화 스킵: ' + str(match_rate))
self.get_scene('main_scene').lyb_mouse_click_location(loc_x, loc_y)
return 'skip'
resource_name = 'open_all_loc'
(loc_x, loc_y), match_rate = self.locationResourceOnWindowPart(
self.window_image,
resource_name,
custom_threshold=0.7,
custom_flag=1,
custom_rect=(680, 430, 760, 470)
)
if loc_x != -1:
self.get_scene('main_scene').lyb_mouse_click_location(loc_x, loc_y)
return 'skip'
resource_name = 'open_ok_loc'
(loc_x, loc_y), match_rate = self.locationResourceOnWindowPart(
self.window_image,
resource_name,
custom_threshold=0.7,
custom_flag=1,
custom_rect=(40, 430, 110, 470)
)
if loc_x != -1:
self.get_scene('main_scene').lyb_mouse_click_location(loc_x, loc_y)
return 'skip'
resource_name = 'skip_npc_loc'
elapsed_time = time.time() - self.get_scene('main_scene').get_checkpoint(resource_name)
if elapsed_time > self.period_bot(5):
(loc_x, loc_y), match_rate = self.locationResourceOnWindowPart(
self.window_image,
resource_name,
custom_threshold=0.7,
custom_flag=1,
custom_rect=(710, 400, 790, 450)
)
if loc_x != -1:
self.get_scene('main_scene').set_checkpoint(resource_name)
self.logger.info('NPC 대화: ' + str(match_rate))
self.get_scene('main_scene').lyb_mouse_click_location(loc_x, loc_y)
return 'skip'
confirm_list = [
'confirm_20181129_loc',
'confirm_20181129_1_loc',
'confirm_20190119_loc',
'confirm_20190120_loc',
'download_20190120_loc'
]
for resource_name in confirm_list:
elapsed_time = time.time() - self.get_scene('main_scene').get_checkpoint(resource_name)
if elapsed_time > self.period_bot(3):
(loc_x, loc_y), match_rate = self.locationResourceOnWindowPart(
self.window_image,
resource_name,
custom_threshold=0.8,
custom_flag=1,
custom_rect=(300, 200, 510, 450)
)
# self.logger.warn(resource_name + ' ' + str(match_rate))
if loc_x != -1:
self.get_scene('quest_scene').status = 20
self.get_scene('main_scene').set_checkpoint(resource_name)
self.logger.info('확인: ' + str(match_rate))
self.get_scene('main_scene').lyb_mouse_click_location(loc_x, loc_y)
return 'skip'
if self.get_scene('main_scene').current_work == '메인 퀘스트':
self.process_tutorial()
# 패배!
# (loc_x, loc_y), match_rate = self.locationResourceOnWindowPart(
# self.window_image,
# 'defeat_press_key_loc',
# custom_below_level=(250, 250, 250),
# custom_top_level=(255, 255, 255),
# custom_threshold=0.7,
# custom_flag=1,
# custom_rect=(280, 190, 360, 230)
# )
# if loc_x != -1:
# self.logger.warn('전투 패배: ' + str(match_rate))
# self.mouse_click('defeat_press_key_0')
return ''
def get_screen_by_location(self, window_image):
scene_name = self.scene_init_screen(window_image)
if len(scene_name) > 0:
return scene_name
scene_name = self.gabang_scene(window_image)
if len(scene_name) > 0:
return scene_name
scene_name = self.gabang_sell_scene(window_image)
if len(scene_name) > 0:
return scene_name
scene_name = self.jido_scene(window_image)
if len(scene_name) > 0:
return scene_name
scene_name = self.upjeok_scene(window_image)
if len(scene_name) > 0:
return scene_name
scene_list = [
'sangjeom_scene',
'dungeon_scene',
'dejeon_scene',
'gyeoltoojang_scene',
'tobeolde_scene',
'special_dungeon_scene',
'gasang_sooryeonjang_scene',
'gejo_scene',
'special_dungeon_create_scene',
'event_scene',
'character_scene',
'quick_move_gold_scene',
'buy_confirm_scene',
'bosang_scene',
'death_scene',
'quest_scene',
'dogam_scene',
]
max_match_rate_scene = ''
max_match_rate = 0
# for each_scene, value in self.resource_manager.resource_dic.items():
# if 'scene' in value.resource_type:
# (loc_x, loc_y), match_rate = self.locationResourceOnWindowPart2(
# self.window_image,
# each_scene,
# custom_threshold=0.7,
# custom_flag=1,
# average=True)
# # self.logger.warn(each_scene + ' ' + str(match_rate))
# if loc_x != -1:
# if max_match_rate < match_rate:
# max_match_rate_scene = each_scene
# max_match_rate = match_rate
for each_scene in scene_list:
(loc_x, loc_y), match_rate = self.locationResourceOnWindowPart2(
self.window_image,
each_scene,
custom_threshold=0.7,
custom_flag=1,
near=64,
average=True)
# self.logger.warn(each_scene + ' ' + str(match_rate))
if loc_x != -1:
if max_match_rate < match_rate:
max_match_rate_scene = each_scene
max_match_rate = match_rate
if len(max_match_rate_scene) > 0:
return max_match_rate_scene
# scene_name = self.jeontoo_scene(window_image)
# if len(scene_name) > 0:
# return scene_name
# scene_name = self.scene_google_play_account_select(window_image)
# if len(scene_name) > 0:
# return scene_name
if self.get_scene('main_scene').current_work == '메인 퀘스트':
self.click_all_tutorial_point()
return ''
def upjeok_scene(self, window_image):
(loc_x, loc_y), match_rate = self.locationResourceOnWindowPart2(
self.window_image,
'upjeok_scene_loc',
custom_threshold=0.7,
custom_flag=1,
average=True)
if loc_x != -1:
return 'upjeok_scene'
return ''
def gabang_sell_scene(self, window_image):
(loc_x, loc_y), match_rate = self.locationResourceOnWindowPart2(
self.window_image,
'gabang_sell_scene_loc',
custom_threshold=0.7,
custom_flag=1)
if loc_x != -1:
return 'gabang_sell_scene'
return ''
def jido_scene(self, window_image):
(loc_x, loc_y), match_rate = self.locationResourceOnWindowPart2(
self.window_image,
'jido_scene_loc',
custom_threshold=0.7,
custom_flag=1,
average=True)
if loc_x != -1:
return 'jido_scene'
return ''
def gabang_scene(self, window_image):
(loc_x, loc_y), match_rate = self.locationResourceOnWindowPart2(
self.window_image,
'gabang_scene_loc',
custom_flag=1,
custom_threshold=0.7,
average=True)
if loc_x != -1:
return 'gabang_scene'
return ''
def click_all_tutorial_point(self):
tutorial_check_threshold = self.get_option('tutorial_check_threshold')
if tutorial_check_threshold == None:
tutorial_check_threshold = 0
elapsed_time = time.time() - self.get_scene('main_scene').get_checkpoint('tutorial_last_check_time')
if elapsed_time > self.period_bot(3):
tutorial_check_threshold = 0
self.get_scene('main_scene').set_checkpoint('tutorial_last_check_time')
if tutorial_check_threshold > 5:
resource_name = 'tutorial_loc'
if not resource_name in self.resource_manager.resource_dic:
return
resource = self.resource_manager.resource_dic[resource_name]
tutorial_iterator = self.get_option('tutorial_iterator')
if tutorial_iterator is None:
tutorial_iterator = 0
if tutorial_iterator >= len(resource):
self.set_option('tutorial_check_threshold', 0)
self.set_option('tutorial_iterator', 0)
else:
pb_name = resource[tutorial_iterator]
self.set_option('tutorial_iterator', tutorial_iterator + 1)
self.logger.debug(pb_name)
self.mouse_click(pb_name)
self.interval = 0.01
else:
self.set_option('tutorial_check_threshold', tutorial_check_threshold + 1)
# def jeontoo_scene(self, window_image):
# (loc_x, loc_y), match_rate = self.locationResourceOnWindowPart(
# self.window_image,
# 'jeontoo_scene_loc',
# custom_below_level=(100, 100, 100),
# custom_top_level=(255, 255, 255),
# custom_threshold=0.7,
# custom_flag=1,
# custom_rect=(5, 90, 80, 130)
# )
# if match_rate > 0.7:
# return 'jeontoo_scene'
# return ''
def scene_init_screen(self, window_image):
loc_x = -1
loc_y = -1
if self.player_type == 'nox':
for each_icon in LYBDarkEden.darkeden_icon_list:
(loc_x, loc_y), match_rate = self.locationOnWindowPart(
window_image,
self.resource_manager.pixel_box_dic[each_icon],
custom_threshold=0.8,
custom_flag=1,
custom_rect=(80, 110, 700, 370)
)
# print('[DEBUG] nox yh icon:', (loc_x, loc_y), match_rate)
if loc_x != -1:
break
else:
for each_icon in LYBDarkEden.darkeden_icon_list:
(loc_x, loc_y), match_rate = self.locationOnWindowPart(
window_image,
self.resource_manager.pixel_box_dic[each_icon],
custom_threshold=0.8,
custom_flag=1,
custom_rect=(30, 10, 740, 370)
)
# self.logger.info(each_icon + ' ' + str((loc_x, loc_y)) + ' ' + str(match_rate))
if loc_x != -1:
break
if loc_x == -1:
return ''
return 'init_screen_scene'
def scene_google_play_account_select(self, window_image):
loc_x_list = []
loc_y_list = []
(loc_x, loc_y) = lybgame.LYBGame.locationOnWindow(
window_image,
self.resource_manager.pixel_box_dic['google_play_letter']
)
loc_x_list.append(loc_x)
loc_y_list.append(loc_y)
for i in range(6):
(loc_x, loc_y) = lybgame.LYBGame.locationOnWindow(
window_image,
self.resource_manager.pixel_box_dic['google_play_letter_' + str(i)]
)
loc_x_list.append(loc_x)
loc_y_list.append(loc_y)
for each_loc in loc_x_list:
if each_loc == -1:
return ''
else:
continue
return 'google_play_account_select_scene'
def clear_scene(self):
last_scene = self.scene_dic
self.scene_dic = {}
for scene_name, scene in last_scene.items():
if ('google_play_account_select_scene' in scene_name or
'logo_screen_scene' in scene_name or
'connect_account_scene' in scene_name
):
self.scene_dic[scene_name] = last_scene[scene_name]
def add_scene(self, scene_name):
self.scene_dic[scene_name] = lybscene.LYBDarkEdenScene(scene_name)
self.scene_dic[scene_name].setLoggingQueue(self.logging_queue)
self.scene_dic[scene_name].setGameObject(self)
def process_tutorial(self):
# resource_name = 'control_pad_tutorial_loc'
# elapsed_time = time.time() - self.get_scene('main_scene').get_checkpoint(resource_name)
# if elapsed_time > self.period_bot(10):
# (loc_x, loc_y), match_rate = self.locationResourceOnWindowPart(
# self.window_image,
# resource_name,
# custom_threshold=0.7,
# custom_flag=1,
# custom_rect=(130, 300, 400, 340)
# )
# if loc_x != -1:
# self.get_scene('main_scene').set_checkpoint(resource_name)
# self.logger.info('콘트롤 패드 튜토리얼: ' + str(match_rate))
# self.get_scene('main_scene').lyb_mouse_drag('pad_direction_center', 'pad_direction_1', stop_delay=2)
# return 'skip'
resource_name = 'potion_tutorial_loc'
elapsed_time = time.time() - self.get_scene('main_scene').get_checkpoint(resource_name)
if elapsed_time > self.period_bot(10):
(loc_x, loc_y), match_rate = self.locationResourceOnWindowPart(
self.window_image,
resource_name,
custom_threshold=0.7,
custom_flag=1,
custom_rect=(5, 180, 150, 210),
)
if loc_x != -1:
self.get_scene('main_scene').set_checkpoint(resource_name)
self.logger.info('상점에서 회복 물약 구입' + str(match_rate))
self.get_scene('sangjeom_scene').status = 0
self.get_scene('main_scene').lyb_mouse_click_location(loc_x, loc_y)
return 'skip'
class LYBDarkEdenTab(lybgame.LYBGameTab):
def __init__(self, root_frame, configure, game_options, inner_frame_dics, width, height,
game_name=lybconstant.LYB_GAME_DARKEDEN):
lybgame.LYBGameTab.__init__(self, root_frame, configure, game_options, inner_frame_dics, width, height,
game_name)
def set_work_list(self):
lybgame.LYBGameTab.set_work_list(self)
for each_work in LYBDarkEden.work_list:
self.option_dic['work_list_listbox'].insert('end', each_work)
self.configure.common_config[self.game_name]['work_list'].append(each_work)
def set_option(self):
# PADDING
frame = ttk.Frame(
master=self.master,
relief=self.frame_relief
)
frame.pack(pady=5)
self.inner_frame_dic['options'] = ttk.Frame(
master=self.master,
relief=self.frame_relief
)
self.option_dic['option_note'] = ttk.Notebook(
master=self.inner_frame_dic['options']
)
self.inner_frame_dic['common_tab_frame'] = ttk.Frame(
master=self.option_dic['option_note'],
relief=self.frame_relief
)
self.inner_frame_dic['common_tab_frame'].pack(anchor=tkinter.NW, fill=tkinter.BOTH, expand=True)
self.option_dic['option_note'].add(self.inner_frame_dic['common_tab_frame'], text='일반')
self.inner_frame_dic['work_tab_frame'] = ttk.Frame(
master=self.option_dic['option_note'],
relief=self.frame_relief
)
self.inner_frame_dic['work_tab_frame'].pack(anchor=tkinter.NW, fill=tkinter.BOTH, expand=True)
self.option_dic['option_note'].add(self.inner_frame_dic['work_tab_frame'], text='작업')
self.inner_frame_dic['notify_tab_frame'] = ttk.Frame(
master=self.option_dic['option_note'],
relief=self.frame_relief
)
self.inner_frame_dic['notify_tab_frame'].pack(anchor=tkinter.NW, fill=tkinter.BOTH, expand=True)
self.option_dic['option_note'].add(self.inner_frame_dic['notify_tab_frame'], text='알림')
# ------
# 일반 탭 좌측
frame_l = ttk.Frame(self.inner_frame_dic['common_tab_frame'])
frame_label = ttk.LabelFrame(frame_l, text='전투')
frame = ttk.Frame(frame_label)
label = ttk.Label(
master = frame,
text = self.get_option_text('자동 전환 감지 횟수(회)', width=27)
)
label.pack(side=tkinter.LEFT)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'auto_limit_count'] = tkinter.StringVar(frame)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'auto_limit_count'].trace(
'w', lambda *args: self.auto_limit_count(args, lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'auto_limit_count')
)
combobox_list = []
for i in range(1, 11):
combobox_list.append(str(i))
if not lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'auto_limit_count' in self.configure.common_config[self.game_name]:
self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'auto_limit_count'] = 5
combobox = ttk.Combobox(
master = frame,
values = combobox_list,
textvariable = self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'auto_limit_count'],
state = "readonly",
height = 10,
width = 7,
font = lybconstant.LYB_FONT
)
combobox.set(self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'auto_limit_count'])
combobox.pack(anchor=tkinter.W, side=tkinter.LEFT)
frame.pack(anchor=tkinter.W)
frame_label.pack(anchor=tkinter.NW, padx=5, pady=5)
frame_label = ttk.LabelFrame(frame_l, text='이동')
frame = ttk.Frame(frame_label)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'quick_move_gold'] = tkinter.BooleanVar(frame)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'quick_move_gold'].trace(
'w', lambda *args: self.quick_move_gold(args, lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'quick_move_gold')
)
if not lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'quick_move_gold' in self.configure.common_config[self.game_name]:
self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'quick_move_gold'] = False
check_box = ttk.Checkbutton(
master = frame,
text = '골드 사용 즉시 이동',
variable = self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'quick_move_gold'],
onvalue = True,
offvalue = False
)
check_box.pack(anchor=tkinter.W, side=tkinter.LEFT)
frame.pack(anchor=tkinter.W)
frame_label.pack(anchor=tkinter.NW, padx=5, pady=5)
frame_l.pack(side=tkinter.LEFT, anchor=tkinter.NW)
# 일반 탭 중간
frame_m = ttk.Frame(self.inner_frame_dic['common_tab_frame'])
frame_label = ttk.LabelFrame(frame_m, text='던전 이동 세부 설정')
self.dungeon_floor_monster_combobox = []
self.dungeon_floor_npc_combobox = []
for i in range(6):
frame = ttk.Frame(frame_label)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor' + str(i)] = tkinter.StringVar(frame)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_monster' + str(i)] = tkinter.StringVar(frame)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_npc' + str(i)] = tkinter.StringVar(frame)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_order' + str(i)] = tkinter.StringVar(frame)
combobox_list = LYBDarkEden.dungeon_floor_list
if not lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor' + str(i) in self.configure.common_config[self.game_name]:
self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor' + str(i)] = combobox_list[0]
combobox = ttk.Combobox(
master = frame,
values = combobox_list,
textvariable = self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor' + str(i)],
state = "readonly",
height = 10,
width = 15,
font = lybconstant.LYB_FONT
)
combobox.set(self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor' + str(i)])
combobox.pack(anchor=tkinter.W, side=tkinter.LEFT)
label = ttk.Label(
master = frame,
text = '>>'
)
label.pack(side=tkinter.LEFT)
try:
area_index = LYBDarkEden.dungeon_floor_list.index(self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor' + str(i)])
combobox_list = LYBDarkEden.dungeon_floor_monster_list[area_index]
if not lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_monster' + str(i) in self.configure.common_config[self.game_name]:
self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_monster' + str(i)] = combobox_list[0]
except ValueError:
area_index = 0
combobox_list = LYBDarkEden.dungeon_floor_monster_list[area_index]
self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_monster' + str(i)] = combobox_list[0]
self.dungeon_floor_monster_combobox.append(
ttk.Combobox(
master = frame,
values = combobox_list,
textvariable = self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_monster' + str(i)],
state = "readonly",
height = 10,
width = 15,
font = lybconstant.LYB_FONT
)
)
self.dungeon_floor_monster_combobox[i].set(self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_monster' + str(i)])
self.dungeon_floor_monster_combobox[i].pack(anchor=tkinter.W, side=tkinter.LEFT)
try:
area_index = LYBDarkEden.dungeon_floor_list.index(self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor' + str(i)])
combobox_list = LYBDarkEden.dungeon_floor_npc_list[area_index]
if not lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_npc' + str(i) in self.configure.common_config[self.game_name]:
self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_npc' + str(i)] = combobox_list[0]
except ValueError:
area_index = 0
combobox_list = LYBDarkEden.dungeon_floor_npc_list[area_index]
self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_npc' + str(i)] = combobox_list[0]
self.dungeon_floor_npc_combobox.append(
ttk.Combobox(
master = frame,
values = combobox_list,
textvariable = self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_npc' + str(i)],
state = "readonly",
height = 10,
width = 15,
font = lybconstant.LYB_FONT
)
)
self.dungeon_floor_npc_combobox[i].set(self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_npc' + str(i)])
self.dungeon_floor_npc_combobox[i].pack(anchor=tkinter.W, side=tkinter.LEFT)
combobox_list = []
for j in range(1, 5):
combobox_list.append(str(j))
if not lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_order' + str(i) in self.configure.common_config[self.game_name]:
self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_order' + str(i)] = 1
combobox = ttk.Combobox(
master = frame,
values = combobox_list,
textvariable = self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_order' + str(i)],
state = "readonly",
height = 10,
width = 7,
font = lybconstant.LYB_FONT
)
combobox.set(self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_order' + str(i)])
combobox.pack(anchor=tkinter.W, side=tkinter.LEFT)
if i == 0:
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor' + str(0)].trace(
'w', lambda *args: self.dungeon_floor_0(args, lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor' + str(0))
)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_monster' + str(0)].trace(
'w', lambda *args: self.dungeon_floor_monster_0(args, lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_monster' + str(0))
)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_npc' + str(0)].trace(
'w', lambda *args: self.dungeon_floor_npc_0(args, lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_npc' + str(0))
)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_order' + str(0)].trace(
'w', lambda *args: self.dungeon_floor_order_0(args, lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_order' + str(0))
)
elif i == 1:
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor' + str(1)].trace(
'w', lambda *args: self.dungeon_floor_1(args, lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor' + str(1))
)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_monster' + str(1)].trace(
'w', lambda *args: self.dungeon_floor_monster_1(args, lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_monster' + str(1))
)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_npc' + str(1)].trace(
'w', lambda *args: self.dungeon_floor_npc_1(args, lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_npc' + str(1))
)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_order' + str(1)].trace(
'w', lambda *args: self.dungeon_floor_order_1(args, lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_order' + str(1))
)
elif i == 2:
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor' + str(2)].trace(
'w', lambda *args: self.dungeon_floor_2(args, lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor' + str(2))
)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_monster' + str(2)].trace(
'w', lambda *args: self.dungeon_floor_monster_2(args, lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_monster' + str(2))
)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_npc' + str(2)].trace(
'w', lambda *args: self.dungeon_floor_npc_2(args, lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_npc' + str(2))
)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_order' + str(2)].trace(
'w', lambda *args: self.dungeon_floor_order_2(args, lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_order' + str(2))
)
elif i == 3:
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor' + str(3)].trace(
'w', lambda *args: self.dungeon_floor_3(args, lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor' + str(3))
)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_monster' + str(3)].trace(
'w', lambda *args: self.dungeon_floor_monster_3(args, lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_monster' + str(3))
)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_npc' + str(3)].trace(
'w', lambda *args: self.dungeon_floor_npc_3(args, lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_npc' + str(3))
)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_order' + str(3)].trace(
'w', lambda *args: self.dungeon_floor_order_3(args, lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_order' + str(3))
)
elif i == 4:
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor' + str(4)].trace(
'w', lambda *args: self.dungeon_floor_4(args, lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor' + str(4))
)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_monster' + str(4)].trace(
'w', lambda *args: self.dungeon_floor_monster_4(args, lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_monster' + str(4))
)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_npc' + str(4)].trace(
'w', lambda *args: self.dungeon_floor_npc_4(args, lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_npc' + str(4))
)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_order' + str(4)].trace(
'w', lambda *args: self.dungeon_floor_order_4(args, lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_order' + str(4))
)
elif i == 5:
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor' + str(5)].trace(
'w', lambda *args: self.dungeon_floor_5(args, lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor' + str(5))
)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_monster' + str(5)].trace(
'w', lambda *args: self.dungeon_floor_monster_5(args, lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_monster' + str(5))
)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_npc' + str(5)].trace(
'w', lambda *args: self.dungeon_floor_npc_5(args, lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_npc' + str(5))
)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_order' + str(5)].trace(
'w', lambda *args: self.dungeon_floor_order_5(args, lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_order' + str(5))
)
frame.pack(anchor=tkinter.W)
frame_label.pack(anchor=tkinter.NW, padx=5, pady=5)
frame_m.pack(side=tkinter.LEFT, anchor=tkinter.NW)
# 일반 탭 우측
frame_r = ttk.Frame(self.inner_frame_dic['common_tab_frame'])
frame_r.pack(side=tkinter.LEFT, anchor=tkinter.NW)
# 작업 탭 좌측
frame_l = ttk.Frame(self.inner_frame_dic['work_tab_frame'])
frame_label = ttk.LabelFrame(frame_l, text='자동 사냥')
frame = ttk.Frame(frame_label)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_party'] = tkinter.BooleanVar(frame)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_party'].trace(
'w', lambda *args: self.auto_party(args, lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_party')
)
if not lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_party' in self.configure.common_config[self.game_name]:
self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_party'] = False
check_box = ttk.Checkbutton(
master = frame,
text = '파티 초대',
variable = self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_party'],
onvalue = True,
offvalue = False
)
check_box.pack(anchor=tkinter.W, side=tkinter.LEFT)
frame.pack(anchor=tkinter.W)
frame = ttk.Frame(frame_label)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_jiyeok'] = tkinter.BooleanVar(frame)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_jiyeok'].trace(
'w', lambda *args: self.auto_jiyeok(args, lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_jiyeok')
)
if not lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_jiyeok' in self.configure.common_config[self.game_name]:
self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_jiyeok'] = False
check_box = ttk.Checkbutton(
master = frame,
text = '지역 퀘스트',
variable = self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_jiyeok'],
onvalue = True,
offvalue = False
)
check_box.pack(anchor=tkinter.W, side=tkinter.LEFT)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_jongjok'] = tkinter.BooleanVar(frame)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_jongjok'].trace(
'w', lambda *args: self.auto_jongjok(args, lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_jongjok')
)
if not lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_jongjok' in self.configure.common_config[self.game_name]:
self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_jongjok'] = False
check_box = ttk.Checkbutton(
master = frame,
text = '종족 퀘스트',
variable = self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_jongjok'],
onvalue = True,
offvalue = False
)
check_box.pack(anchor=tkinter.W, side=tkinter.LEFT)
frame.pack(anchor=tkinter.W)
frame = ttk.Frame(frame_label)
label = ttk.Label(
master = frame,
text = self.get_option_text('클릭할 인식 순서(번째)', width=27)
)
label.pack(side=tkinter.LEFT)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_order'] = tkinter.StringVar(frame)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_order'].trace(
'w', lambda *args: self.auto_order(args, lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_order')
)
combobox_list = []
for i in range(1, 5):
combobox_list.append(str(i))
if not lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_order' in self.configure.common_config[self.game_name]:
self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_order'] = 1
combobox = ttk.Combobox(
master = frame,
values = combobox_list,
textvariable = self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_order'],
state = "readonly",
height = 10,
width = 7,
font = lybconstant.LYB_FONT
)
combobox.set(self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_order'])
combobox.pack(anchor=tkinter.W, side=tkinter.LEFT)
frame.pack(anchor=tkinter.W)
frame = ttk.Frame(frame_label)
label = ttk.Label(
master = frame,
text = self.get_option_text('진행 시간(초)', width=27)
)
label.pack(side=tkinter.LEFT)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_duration'] = tkinter.StringVar(frame)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_duration'].trace(
'w', lambda *args: self.auto_duration(args, lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_duration')
)
combobox_list = []
for i in range(0, 86401, 60):
combobox_list.append(str(i))
if not lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_duration' in self.configure.common_config[self.game_name]:
self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_duration'] = 3600
combobox = ttk.Combobox(
master = frame,
values = combobox_list,
textvariable = self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_duration'],
state = "readonly",
height = 10,
width = 7,
font = lybconstant.LYB_FONT
)
combobox.set(self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_duration'])
combobox.pack(anchor=tkinter.W, side=tkinter.LEFT)
frame.pack(anchor=tkinter.W)
frame = ttk.Frame(frame_label)
label = ttk.Label(
master = frame,
text = self.get_option_text('판매 체크 주기(초)', width=27)
)
label.pack(side=tkinter.LEFT)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_sell_period'] = tkinter.StringVar(frame)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_sell_period'].trace(
'w', lambda *args: self.auto_sell_period(args, lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_sell_period')
)
combobox_list = []
for i in range(0, 3601):
combobox_list.append(str(i))
if not lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_sell_period' in self.configure.common_config[self.game_name]:
self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_sell_period'] = 300
combobox = ttk.Combobox(
master = frame,
values = combobox_list,
textvariable = self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_sell_period'],
state = "readonly",
height = 10,
width = 7,
font = lybconstant.LYB_FONT
)
combobox.set(self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_sell_period'])
combobox.pack(anchor=tkinter.W, side=tkinter.LEFT)
frame.pack(anchor=tkinter.W)
frame = ttk.Frame(frame_label)
label = ttk.Label(
master = frame,
text = self.get_option_text('분해 체크 주기(초)', width=27)
)
label.pack(side=tkinter.LEFT)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_bunhe_period'] = tkinter.StringVar(frame)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_bunhe_period'].trace(
'w', lambda *args: self.auto_bunhe_period(args, lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_bunhe_period')
)
combobox_list = []
for i in range(0, 3601):
combobox_list.append(str(i))
if not lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_bunhe_period' in self.configure.common_config[self.game_name]:
self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_bunhe_period'] = 300
combobox = ttk.Combobox(
master = frame,
values = combobox_list,
textvariable = self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_bunhe_period'],
state = "readonly",
height = 10,
width = 7,
font = lybconstant.LYB_FONT
)
combobox.set(self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_bunhe_period'])
combobox.pack(anchor=tkinter.W, side=tkinter.LEFT)
frame.pack(anchor=tkinter.W)
frame = ttk.Frame(frame_label)
label = ttk.Label(
master = frame,
text = self.get_option_text('일일 퀘스트 체크 주기(초)', width=27)
)
label.pack(side=tkinter.LEFT)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_ilil_quest_period'] = tkinter.StringVar(frame)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_ilil_quest_period'].trace(
'w', lambda *args: self.auto_ilil_quest_period(args, lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_ilil_quest_period')
)
combobox_list = []
for i in range(0, 3601):
combobox_list.append(str(i))
if not lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_ilil_quest_period' in self.configure.common_config[self.game_name]:
self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_ilil_quest_period'] = 1800
combobox = ttk.Combobox(
master = frame,
values = combobox_list,
textvariable = self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_ilil_quest_period'],
state = "readonly",
height = 10,
width = 7,
font = lybconstant.LYB_FONT
)
combobox.set(self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_ilil_quest_period'])
combobox.pack(anchor=tkinter.W, side=tkinter.LEFT)
frame.pack(anchor=tkinter.W)
frame = ttk.Frame(frame_label)
label = ttk.Label(
master = frame,
text = self.get_option_text('도감 체크 주기(초)', width=27)
)
label.pack(side=tkinter.LEFT)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_dogam_period'] = tkinter.StringVar(frame)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_dogam_period'].trace(
'w', lambda *args: self.auto_dogam_period(args, lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_dogam_period')
)
combobox_list = []
for i in range(0, 3601):
combobox_list.append(str(i))
if not lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_dogam_period' in self.configure.common_config[self.game_name]:
self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_dogam_period'] = 1200
combobox = ttk.Combobox(
master = frame,
values = combobox_list,
textvariable = self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_dogam_period'],
state = "readonly",
height = 10,
width = 7,
font = lybconstant.LYB_FONT
)
combobox.set(self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_dogam_period'])
combobox.pack(anchor=tkinter.W, side=tkinter.LEFT)
frame.pack(anchor=tkinter.W)
frame = ttk.Frame(frame_label)
label = ttk.Label(
master = frame,
text = self.get_option_text('종족 퀘스트 수행 횟수(회)', width=27)
)
label.pack(side=tkinter.LEFT)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_jongjok_quest_count'] = tkinter.StringVar(frame)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_jongjok_quest_count'].trace(
'w', lambda *args: self.auto_jongjok_quest_count(args, lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_jongjok_quest_count')
)
combobox_list = []
for i in range(0, 101):
combobox_list.append(str(i))
if not lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_jongjok_quest_count' in self.configure.common_config[self.game_name]:
self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_jongjok_quest_count'] = 10
combobox = ttk.Combobox(
master = frame,
values = combobox_list,
textvariable = self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_jongjok_quest_count'],
state = "readonly",
height = 10,
width = 7,
font = lybconstant.LYB_FONT
)
combobox.set(self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_jongjok_quest_count'])
combobox.pack(anchor=tkinter.W, side=tkinter.LEFT)
frame.pack(anchor=tkinter.W)
frame = ttk.Frame(frame_label)
label = ttk.Label(
master = frame,
text = self.get_option_text('월드맵 체크 주기(초)', width=27)
)
label.pack(side=tkinter.LEFT)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_move_check_period'] = tkinter.StringVar(frame)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_move_check_period'].trace(
'w', lambda *args: self.auto_move_check_period(args, lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_move_check_period')
)
combobox_list = []
for i in range(0, 3601):
combobox_list.append(str(i))
if not lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_move_check_period' in self.configure.common_config[self.game_name]:
self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_move_check_period'] = 120
combobox = ttk.Combobox(
master = frame,
values = combobox_list,
textvariable = self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_move_check_period'],
state = "readonly",
height = 10,
width = 7,
font = lybconstant.LYB_FONT
)
combobox.set(self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_move_check_period'])
combobox.pack(anchor=tkinter.W, side=tkinter.LEFT)
frame.pack(anchor=tkinter.W)
frame = ttk.Frame(frame_label)
label = ttk.Label(
master = frame,
text = self.get_option_text('월드맵(대분류)', width=19)
)
label.pack(side=tkinter.LEFT)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_area'] = tkinter.StringVar(frame)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_area'].trace(
'w', lambda *args: self.auto_area(args, lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_area')
)
combobox_list = LYBDarkEden.area_list
if not lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_area' in self.configure.common_config[self.game_name]:
self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_area'] = combobox_list[0]
combobox = ttk.Combobox(
master = frame,
values = combobox_list,
textvariable = self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_area'],
state = "readonly",
height = 10,
width = 15,
font = lybconstant.LYB_FONT
)
combobox.set(self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_area'])
combobox.pack(anchor=tkinter.W, side=tkinter.LEFT)
frame.pack(anchor=tkinter.W)
frame = ttk.Frame(frame_label)
label = ttk.Label(
master = frame,
text = self.get_option_text('지역맵(중분류)', width=19)
)
label.pack(side=tkinter.LEFT)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_sub_area'] = tkinter.StringVar(frame)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_sub_area'].trace(
'w', lambda *args: self.auto_sub_area(args, lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_sub_area')
)
try:
area_index = LYBDarkEden.area_list.index(self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_area'])
combobox_list = LYBDarkEden.sub_area_list[area_index]
if not lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_sub_area' in self.configure.common_config[self.game_name]:
self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_sub_area'] = combobox_list[0]
except ValueError:
area_index = 0
combobox_list = LYBDarkEden.sub_area_list[area_index]
self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_sub_area'] = combobox_list[0]
self.auto_sub_area_combobox = ttk.Combobox(
master = frame,
values = combobox_list,
textvariable = self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_sub_area'],
state = "readonly",
height = 10,
width = 15,
font = lybconstant.LYB_FONT
)
self.auto_sub_area_combobox.set(self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_sub_area'])
self.auto_sub_area_combobox.pack(anchor=tkinter.W, side=tkinter.LEFT)
frame.pack(anchor=tkinter.W)
frame = ttk.Frame(frame_label)
label = ttk.Label(
master = frame,
text = self.get_option_text('몬스터(소분류1)', width=19)
)
label.pack(side=tkinter.LEFT)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_monster'] = tkinter.StringVar(frame)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_monster'].trace(
'w', lambda *args: self.auto_monster(args, lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_monster')
)
combobox_list = LYBDarkEden.sub_area_monster_dic[self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_sub_area']]
if not lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_monster' in self.configure.common_config[self.game_name]:
self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_monster'] = combobox_list[0]
self.auto_monster_combobox = ttk.Combobox(
master = frame,
values = combobox_list,
textvariable = self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_monster'],
state = "readonly",
height = 10,
width = 15,
font = lybconstant.LYB_FONT
)
self.auto_monster_combobox.set(self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_monster'])
self.auto_monster_combobox.pack(anchor=tkinter.W, side=tkinter.LEFT)
frame.pack(anchor=tkinter.W)
frame = ttk.Frame(frame_label)
label = ttk.Label(
master = frame,
text = self.get_option_text('NPC/포탈(소분류2)', width=19)
)
label.pack(side=tkinter.LEFT)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_npc'] = tkinter.StringVar(frame)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_npc'].trace(
'w', lambda *args: self.auto_npc(args, lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_npc')
)
combobox_list = LYBDarkEden.sub_area_npc_dic[self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_sub_area']]
if not lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_npc' in self.configure.common_config[self.game_name]:
self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_npc'] = combobox_list[0]
self.auto_npc_combobox = ttk.Combobox(
master = frame,
values = combobox_list,
textvariable = self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_npc'],
state = "readonly",
height = 10,
width = 15,
font = lybconstant.LYB_FONT
)
self.auto_npc_combobox.set(self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_npc'])
self.auto_npc_combobox.pack(anchor=tkinter.W, side=tkinter.LEFT)
frame.pack(anchor=tkinter.W)
frame_label.pack(anchor=tkinter.NW, padx=5, pady=5)
frame_label = ttk.LabelFrame(frame_l, text='특수던전')
frame = ttk.Frame(frame_label)
label = ttk.Label(
master = frame,
text = self.get_option_text('던전 선택', width=19)
)
label.pack(side=tkinter.LEFT)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'special_dungeon'] = tkinter.StringVar(frame)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'special_dungeon'].trace(
'w', lambda *args: self.special_dungeon(args, lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'special_dungeon')
)
combobox_list = LYBDarkEden.special_dungeon_list
if not lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'special_dungeon' in self.configure.common_config[self.game_name]:
self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'special_dungeon'] = combobox_list[1]
combobox = ttk.Combobox(
master = frame,
values = combobox_list,
textvariable = self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'special_dungeon'],
state = "readonly",
height = 10,
width = 15,
font = lybconstant.LYB_FONT
)
combobox.set(self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'special_dungeon'])
combobox.pack(anchor=tkinter.W, side=tkinter.LEFT)
frame.pack(anchor=tkinter.W)
frame = ttk.Frame(frame_label)
label = ttk.Label(
master = frame,
text = self.get_option_text('난이도 선택', width=19)
)
label.pack(side=tkinter.LEFT)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'special_dungeon_difficulty'] = tkinter.StringVar(frame)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'special_dungeon_difficulty'].trace(
'w', lambda *args: self.special_dungeon_difficulty(args, lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'special_dungeon_difficulty')
)
combobox_list = LYBDarkEden.difficulty_list
if not lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'special_dungeon_difficulty' in self.configure.common_config[self.game_name]:
self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'special_dungeon_difficulty'] = combobox_list[1]
combobox = ttk.Combobox(
master = frame,
values = combobox_list,
textvariable = self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'special_dungeon_difficulty'],
state = "readonly",
height = 10,
width = 15,
font = lybconstant.LYB_FONT
)
combobox.set(self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'special_dungeon_difficulty'])
combobox.pack(anchor=tkinter.W, side=tkinter.LEFT)
frame.pack(anchor=tkinter.W)
frame_label.pack(anchor=tkinter.NW, padx=5, pady=5)
frame_l.pack(side=tkinter.LEFT, anchor=tkinter.NW)
# 작업 탭 중간
frame_m = ttk.Frame(self.inner_frame_dic['work_tab_frame'])
frame_label = ttk.LabelFrame(frame_m, text='판매')
frame = ttk.Frame(frame_label)
for i in range(len(LYBDarkEden.item_list)):
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'sell_item_' + str(i)] = tkinter.BooleanVar(frame)
if i == 0:
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'sell_item_' + str(0)].trace(
'w', lambda *args: self.sell_item_0(args, lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'sell_item_' + str(0))
)
elif i == 1:
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'sell_item_' + str(1)].trace(
'w', lambda *args: self.sell_item_1(args, lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'sell_item_' + str(1))
)
elif i == 2:
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'sell_item_' + str(2)].trace(
'w', lambda *args: self.sell_item_2(args, lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'sell_item_' + str(2))
)
elif i == 3:
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'sell_item_' + str(3)].trace(
'w', lambda *args: self.sell_item_3(args, lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'sell_item_' + str(3))
)
if not lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'sell_item_' + str(i) in self.configure.common_config[self.game_name]:
self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'sell_item_' + str(i)] = False
check_box = ttk.Checkbutton(
master = frame,
text = LYBDarkEden.item_list[i],
variable = self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'sell_item_' + str(i)],
onvalue = True,
offvalue = False
)
check_box.pack(anchor=tkinter.W, side=tkinter.LEFT)
frame.pack(anchor=tkinter.W)
frame = ttk.Frame(frame_label)
for i in range(len(LYBDarkEden.item_quality_list)):
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'sell_item_quality_' + str(i)] = tkinter.BooleanVar(frame)
if i == 0:
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'sell_item_quality_' + str(0)].trace(
'w', lambda *args: self.sell_item_quality_0(args, lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'sell_item_quality_' + str(0))
)
elif i == 1:
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'sell_item_quality_' + str(1)].trace(
'w', lambda *args: self.sell_item_quality_1(args, lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'sell_item_quality_' + str(1))
)
elif i == 2:
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'sell_item_quality_' + str(2)].trace(
'w', lambda *args: self.sell_item_quality_2(args, lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'sell_item_quality_' + str(2))
)
elif i == 3:
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'sell_item_quality_' + str(3)].trace(
'w', lambda *args: self.sell_item_quality_3(args, lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'sell_item_quality_' + str(3))
)
elif i == 4:
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'sell_item_quality_' + str(4)].trace(
'w', lambda *args: self.sell_item_quality_4(args, lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'sell_item_quality_' + str(4))
)
if not lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'sell_item_quality_' + str(i) in self.configure.common_config[self.game_name]:
self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'sell_item_quality_' + str(i)] = False
check_box = ttk.Checkbutton(
master = frame,
text = LYBDarkEden.item_quality_list[i],
variable = self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'sell_item_quality_' + str(i)],
onvalue = True,
offvalue = False
)
check_box.pack(anchor=tkinter.W, side=tkinter.LEFT)
frame.pack(anchor=tkinter.W)
frame_label.pack(anchor=tkinter.NW, padx=5, pady=5)
frame_label = ttk.LabelFrame(frame_m, text='분해')
frame = ttk.Frame(frame_label)
for i in range(len(LYBDarkEden.option_list)):
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'bunhe_option_' + str(i)] = tkinter.BooleanVar(frame)
if i == 0:
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'bunhe_option_' + str(0)].trace(
'w', lambda *args: self.bunhe_option_0(args, lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'bunhe_option_' + str(0))
)
elif i == 1:
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'bunhe_option_' + str(1)].trace(
'w', lambda *args: self.bunhe_option_1(args, lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'bunhe_option_' + str(1))
)
if not lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'bunhe_option_' + str(i) in self.configure.common_config[self.game_name]:
self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'bunhe_option_' + str(i)] = False
check_box = ttk.Checkbutton(
master = frame,
text = LYBDarkEden.option_list[i],
variable = self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'bunhe_option_' + str(i)],
onvalue = True,
offvalue = False
)
check_box.pack(anchor=tkinter.W, side=tkinter.LEFT)
frame.pack(anchor=tkinter.W)
frame = ttk.Frame(frame_label)
for i in range(len(LYBDarkEden.item_quality_list)):
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'bunhe_item_quality_' + str(i)] = tkinter.BooleanVar(frame)
if i == 0:
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'bunhe_item_quality_' + str(0)].trace(
'w', lambda *args: self.bunhe_item_quality_0(args, lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'bunhe_item_quality_' + str(0))
)
elif i == 1:
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'bunhe_item_quality_' + str(1)].trace(
'w', lambda *args: self.bunhe_item_quality_1(args, lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'bunhe_item_quality_' + str(1))
)
elif i == 2:
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'bunhe_item_quality_' + str(2)].trace(
'w', lambda *args: self.bunhe_item_quality_2(args, lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'bunhe_item_quality_' + str(2))
)
elif i == 3:
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'bunhe_item_quality_' + str(3)].trace(
'w', lambda *args: self.bunhe_item_quality_3(args, lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'bunhe_item_quality_' + str(3))
)
elif i == 4:
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'bunhe_item_quality_' + str(4)].trace(
'w', lambda *args: self.bunhe_item_quality_4(args, lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'bunhe_item_quality_' + str(4))
)
if not lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'bunhe_item_quality_' + str(i) in self.configure.common_config[self.game_name]:
self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'bunhe_item_quality_' + str(i)] = False
check_box = ttk.Checkbutton(
master = frame,
text = LYBDarkEden.item_quality_list[i],
variable = self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'bunhe_item_quality_' + str(i)],
onvalue = True,
offvalue = False
)
check_box.pack(anchor=tkinter.W, side=tkinter.LEFT)
frame.pack(anchor=tkinter.W)
frame_label.pack(anchor=tkinter.NW, padx=5, pady=5)
frame_label = ttk.LabelFrame(frame_m, text='길드')
frame = ttk.Frame(frame_label)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'guild_immu'] = tkinter.BooleanVar(frame)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'guild_immu'].trace(
'w', lambda *args: self.guild_immu(args, lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'guild_immu'
))
if not lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'guild_immu' in self.configure.common_config[self.game_name]:
self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'guild_immu'] = True
check_box = ttk.Checkbutton(
master = frame,
text = '길드 임무',
variable = self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'guild_immu'],
onvalue = True,
offvalue = False
)
check_box.pack(anchor=tkinter.W, side=tkinter.LEFT)
frame.pack(anchor=tkinter.W)
frame_label.pack(anchor=tkinter.NW, padx=5, pady=5)
frame_m.pack(side=tkinter.LEFT, anchor=tkinter.NW)
# 작업 탭 우측
frame_r = ttk.Frame(self.inner_frame_dic['work_tab_frame'])
frame_label = ttk.LabelFrame(frame_r, text='메인 퀘스트')
frame = ttk.Frame(frame_label)
label = ttk.Label(
master = frame,
text = self.get_option_text('진행 시간(초)', width=27)
)
label.pack(side=tkinter.LEFT)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'main_quest_duration'] = tkinter.StringVar(frame)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'main_quest_duration'].trace(
'w', lambda *args: self.main_quest_duration(args, lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'main_quest_duration')
)
combobox_list = []
for i in range(0, 86401, 60):
combobox_list.append(str(i))
if not lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'main_quest_duration' in self.configure.common_config[self.game_name]:
self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'main_quest_duration'] = 3600
combobox = ttk.Combobox(
master = frame,
values = combobox_list,
textvariable = self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'main_quest_duration'],
state = "readonly",
height = 10,
width = 7,
font = lybconstant.LYB_FONT
)
combobox.set(self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'main_quest_duration'])
combobox.pack(anchor=tkinter.W, side=tkinter.LEFT)
frame.pack(anchor=tkinter.W)
frame_label.pack(anchor=tkinter.NW, padx=5, pady=5)
frame_label = ttk.LabelFrame(frame_r, text='지역 퀘스트')
frame = ttk.Frame(frame_label)
label = ttk.Label(
master = frame,
text = self.get_option_text('지역(대분류)', width=19)
)
label.pack(side=tkinter.LEFT)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'jiyeok_quest_area'] = tkinter.StringVar(frame)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'jiyeok_quest_area'].trace(
'w', lambda *args: self.jiyeok_quest_area(args, lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'jiyeok_quest_area')
)
combobox_list = LYBDarkEden.quest_scene_jiyeok_list
if not lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'jiyeok_quest_area' in self.configure.common_config[self.game_name]:
self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'jiyeok_quest_area'] = combobox_list[0]
combobox = ttk.Combobox(
master = frame,
values = combobox_list,
textvariable = self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'jiyeok_quest_area'],
state = "readonly",
height = 10,
width = 15,
font = lybconstant.LYB_FONT
)
combobox.set(self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'jiyeok_quest_area'])
combobox.pack(anchor=tkinter.W, side=tkinter.LEFT)
frame.pack(anchor=tkinter.W)
frame = ttk.Frame(frame_label)
label = ttk.Label(
master = frame,
text = self.get_option_text('퀘스트(중분류)', width=19)
)
label.pack(side=tkinter.LEFT)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'jiyeok_quest_select'] = tkinter.StringVar(frame)
self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'jiyeok_quest_select'].trace(
'w', lambda *args: self.jiyeok_quest_select(args, lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'jiyeok_quest_select')
)
try:
area_index = LYBDarkEden.quest_scene_jiyeok_list.index(self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'jiyeok_quest_area'])
combobox_list = LYBDarkEden.quest_scene_jiyeok_quest_list[area_index]
if not lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'jiyeok_quest_select' in self.configure.common_config[self.game_name]:
self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'jiyeok_quest_select'] = combobox_list[0]
except ValueError:
area_index = 0
combobox_list = LYBDarkEden.quest_scene_jiyeok_quest_list[area_index]
self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'jiyeok_quest_select'] = combobox_list[0]
self.jiyeok_quest_select_combobox = ttk.Combobox(
master = frame,
values = combobox_list,
textvariable = self.option_dic[lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'jiyeok_quest_select'],
state = "readonly",
height = 10,
width = 15,
font = lybconstant.LYB_FONT
)
self.jiyeok_quest_select_combobox.set(self.configure.common_config[self.game_name][lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'jiyeok_quest_select'])
self.jiyeok_quest_select_combobox.pack(anchor=tkinter.W, side=tkinter.LEFT)
frame.pack(anchor=tkinter.W)
frame_label.pack(anchor=tkinter.NW, padx=5, pady=5)
frame_r.pack(side=tkinter.LEFT, anchor=tkinter.NW)
# 알림 탭 좌
frame_l = ttk.Frame(self.inner_frame_dic['notify_tab_frame'])
frame_l.pack(side=tkinter.LEFT, anchor=tkinter.NW)
# 알림 탭 중
frame_m = ttk.Frame(self.inner_frame_dic['notify_tab_frame'])
frame_m.pack(side=tkinter.LEFT, anchor=tkinter.NW)
# 알림 탭 우
frame_r = ttk.Frame(self.inner_frame_dic['notify_tab_frame'])
frame_r.pack(side=tkinter.LEFT, anchor=tkinter.NW)
# ------
self.option_dic['option_note'].pack(anchor=tkinter.NW, fill=tkinter.BOTH, expand=True)
self.inner_frame_dic['options'].pack(anchor=tkinter.NW, fill=tkinter.BOTH, expand=True)
self.set_game_option()
def auto_duration(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
def auto_sell_period(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
def auto_bunhe_period(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
def auto_ilil_quest_period(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
def auto_dogam_period(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
def auto_jongjok_quest_count(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
def auto_move_check_period(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
def auto_area(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
new_list = LYBDarkEden.sub_area_dic[self.option_dic[option_name].get()]
self.auto_sub_area_combobox['values'] = new_list
try:
if not self.get_game_config(lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_sub_area') in new_list:
self.auto_sub_area_combobox.set(new_list[0])
except KeyError:
pass
def auto_sub_area(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
new_list = LYBDarkEden.sub_area_monster_dic[self.option_dic[option_name].get()]
self.auto_monster_combobox['values'] = new_list
# self.logger.warn("DEBUG1: " + self.get_game_config(lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'elite_quest_go'))
if not self.get_game_config(lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_monster') in new_list:
self.auto_monster_combobox.set(new_list[0])
new_list = LYBDarkEden.sub_area_npc_dic[self.option_dic[option_name].get()]
self.auto_npc_combobox['values'] = new_list
# self.logger.warn("DEBUG1: " + self.get_game_config(lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'elite_quest_go'))
try:
if not self.get_game_config(lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'auto_npc') in new_list:
self.auto_npc_combobox.set(new_list[0])
except KeyError:
pass
# if not self.elite_quest_go_combobox.get() in new_list:
# self.elite_quest_go_combobox.set(new_list[0])
# for i in range(5):
# # self.logger.warn("DEBUG2: " + self.get_game_config(lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'elite_quest_accept' + str(i)))
# self.elite_quest_accept_combobox[i]['values'] = new_list
# if not self.get_game_config(lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'elite_quest_accept' + str(i)) in new_list:
# self.elite_quest_accept_combobox[i].set(new_list[0])
# # if not self.elite_quest_accept_combobox[i].get() in new_list:
# # self.elite_quest_accept_combobox[i].set( new_list[0])
def dungeon_floor_0(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
new_list = LYBDarkEden.dungeon_floor_monster_dic[self.option_dic[option_name].get()]
self.dungeon_floor_monster_combobox[0]['values'] = new_list
try:
if not self.get_game_config(lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_monster' + str(0)) in new_list:
self.dungeon_floor_monster_combobox[0].set(new_list[0])
except KeyError:
pass
new_list = LYBDarkEden.dungeon_floor_npc_dic[self.option_dic[option_name].get()]
self.dungeon_floor_npc_combobox[0]['values'] = new_list
try:
if not self.get_game_config(lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_npc' + str(0)) in new_list:
self.dungeon_floor_npc_combobox[0].set(new_list[0])
except KeyError:
pass
def dungeon_floor_monster_0(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
try:
if self.option_dic[option_name].get() != '선택안함':
self.dungeon_floor_npc_combobox[0].set(self.dungeon_floor_npc_combobox[0]['values'][0])
except KeyError:
pass
def dungeon_floor_npc_0(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
try:
if self.option_dic[option_name].get() != '선택안함':
self.dungeon_floor_monster_combobox[0].set(self.dungeon_floor_monster_combobox[0]['values'][0])
except KeyError:
pass
def dungeon_floor_order_0(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
def dungeon_floor_1(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
new_list = LYBDarkEden.dungeon_floor_monster_dic[self.option_dic[option_name].get()]
self.dungeon_floor_monster_combobox[1]['values'] = new_list
try:
if not self.get_game_config(lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_monster' + str(1)) in new_list:
self.dungeon_floor_monster_combobox[1].set(new_list[0])
except KeyError:
pass
new_list = LYBDarkEden.dungeon_floor_npc_dic[self.option_dic[option_name].get()]
self.dungeon_floor_npc_combobox[1]['values'] = new_list
try:
if not self.get_game_config(lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_npc' + str(1)) in new_list:
self.dungeon_floor_npc_combobox[1].set(new_list[0])
except KeyError:
pass
def dungeon_floor_monster_1(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
try:
if self.option_dic[option_name].get() != '선택안함':
self.dungeon_floor_npc_combobox[1].set(self.dungeon_floor_npc_combobox[1]['values'][0])
except KeyError:
pass
def dungeon_floor_npc_1(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
try:
if self.option_dic[option_name].get() != '선택안함':
self.dungeon_floor_monster_combobox[1].set(self.dungeon_floor_monster_combobox[1]['values'][0])
except KeyError:
pass
def dungeon_floor_order_1(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
def dungeon_floor_2(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
new_list = LYBDarkEden.dungeon_floor_monster_dic[self.option_dic[option_name].get()]
self.dungeon_floor_monster_combobox[2]['values'] = new_list
try:
if not self.get_game_config(lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_monster' + str(2)) in new_list:
self.dungeon_floor_monster_combobox[2].set(new_list[0])
except KeyError:
pass
new_list = LYBDarkEden.dungeon_floor_npc_dic[self.option_dic[option_name].get()]
self.dungeon_floor_npc_combobox[2]['values'] = new_list
try:
if not self.get_game_config(lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_npc' + str(2)) in new_list:
self.dungeon_floor_npc_combobox[2].set(new_list[0])
except KeyError:
pass
def dungeon_floor_monster_2(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
try:
if self.option_dic[option_name].get() != '선택안함':
self.dungeon_floor_npc_combobox[2].set(self.dungeon_floor_npc_combobox[2]['values'][0])
except KeyError:
pass
def dungeon_floor_npc_2(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
try:
if self.option_dic[option_name].get() != '선택안함':
self.dungeon_floor_monster_combobox[2].set(self.dungeon_floor_monster_combobox[2]['values'][0])
except KeyError:
pass
def dungeon_floor_order_2(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
def dungeon_floor_3(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
new_list = LYBDarkEden.dungeon_floor_monster_dic[self.option_dic[option_name].get()]
self.dungeon_floor_monster_combobox[3]['values'] = new_list
try:
if not self.get_game_config(lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_monster' + str(3)) in new_list:
self.dungeon_floor_monster_combobox[3].set(new_list[0])
except KeyError:
pass
new_list = LYBDarkEden.dungeon_floor_npc_dic[self.option_dic[option_name].get()]
self.dungeon_floor_npc_combobox[3]['values'] = new_list
try:
if not self.get_game_config(lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_npc' + str(3)) in new_list:
self.dungeon_floor_npc_combobox[3].set(new_list[0])
except KeyError:
pass
def dungeon_floor_monster_3(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
try:
if self.option_dic[option_name].get() != '선택안함':
self.dungeon_floor_npc_combobox[3].set(self.dungeon_floor_npc_combobox[3]['values'][0])
except KeyError:
pass
def dungeon_floor_npc_3(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
try:
if self.option_dic[option_name].get() != '선택안함':
self.dungeon_floor_monster_combobox[3].set(self.dungeon_floor_monster_combobox[3]['values'][0])
except KeyError:
pass
def dungeon_floor_order_3(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
def dungeon_floor_4(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
new_list = LYBDarkEden.dungeon_floor_monster_dic[self.option_dic[option_name].get()]
self.dungeon_floor_monster_combobox[4]['values'] = new_list
try:
if not self.get_game_config(lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_monster' + str(4)) in new_list:
self.dungeon_floor_monster_combobox[4].set(new_list[0])
except KeyError:
pass
new_list = LYBDarkEden.dungeon_floor_npc_dic[self.option_dic[option_name].get()]
self.dungeon_floor_npc_combobox[4]['values'] = new_list
try:
if not self.get_game_config(lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_npc' + str(4)) in new_list:
self.dungeon_floor_npc_combobox[4].set(new_list[0])
except KeyError:
pass
def dungeon_floor_monster_4(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
try:
if self.option_dic[option_name].get() != '선택안함':
self.dungeon_floor_npc_combobox[4].set(self.dungeon_floor_npc_combobox[4]['values'][0])
except KeyError:
pass
def dungeon_floor_npc_4(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
try:
if self.option_dic[option_name].get() != '선택안함':
self.dungeon_floor_monster_combobox[4].set(self.dungeon_floor_monster_combobox[4]['values'][0])
except KeyError:
pass
def dungeon_floor_order_4(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
def dungeon_floor_5(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
new_list = LYBDarkEden.dungeon_floor_monster_dic[self.option_dic[option_name].get()]
self.dungeon_floor_monster_combobox[5]['values'] = new_list
try:
if not self.get_game_config(lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_monster' + str(5)) in new_list:
self.dungeon_floor_monster_combobox[5].set(new_list[0])
except KeyError:
pass
new_list = LYBDarkEden.dungeon_floor_npc_dic[self.option_dic[option_name].get()]
self.dungeon_floor_npc_combobox[5]['values'] = new_list
try:
if not self.get_game_config(lybconstant.LYB_DO_STRING_DARKEDEN_ETC + 'dungeon_floor_npc' + str(5)) in new_list:
self.dungeon_floor_npc_combobox[5].set(new_list[0])
except KeyError:
pass
def dungeon_floor_monster_5(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
try:
if self.option_dic[option_name].get() != '선택안함':
self.dungeon_floor_npc_combobox[5].set(self.dungeon_floor_npc_combobox[5]['values'][0])
except KeyError:
pass
def dungeon_floor_npc_5(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
try:
if self.option_dic[option_name].get() != '선택안함':
self.dungeon_floor_monster_combobox[5].set(self.dungeon_floor_monster_combobox[5]['values'][0])
except KeyError:
pass
def dungeon_floor_order_5(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
def quick_move_gold(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
def main_quest_duration(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
def auto_limit_count(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
def auto_monster(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
def auto_npc(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
def special_dungeon(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
def special_dungeon_difficulty(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
def auto_party(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
def auto_jiyeok(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
def auto_jongjok(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
def auto_order(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
def sell_item_0(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
def sell_item_1(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
def sell_item_2(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
def sell_item_3(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
def sell_item_quality_0(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
def sell_item_quality_1(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
def sell_item_quality_2(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
def sell_item_quality_3(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
def sell_item_quality_4(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
def bunhe_option_0(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
def bunhe_option_1(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
def bunhe_item_quality_0(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
def bunhe_item_quality_1(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
def bunhe_item_quality_2(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
def bunhe_item_quality_3(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
def bunhe_item_quality_4(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
def guild_immu(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
def jiyeok_quest_area(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get())
new_list = LYBDarkEden.quest_scene_jiyeok_quest_dic[self.option_dic[option_name].get()]
self.jiyeok_quest_select_combobox['values'] = new_list
try:
if not self.get_game_config(lybconstant.LYB_DO_STRING_DARKEDEN_WORK + 'jiyeok_quest_select') in new_list:
self.jiyeok_quest_select_combobox.set(new_list[0])
except KeyError:
pass
def jiyeok_quest_select(self, args, option_name):
self.set_game_config(option_name, self.option_dic[option_name].get()) | 45.483281 | 178 | 0.603231 | 12,237 | 102,019 | 4.661927 | 0.038735 | 0.080248 | 0.084701 | 0.116463 | 0.91884 | 0.898489 | 0.882625 | 0.857015 | 0.8286 | 0.785514 | 0 | 0.013067 | 0.296386 | 102,019 | 2,243 | 179 | 45.483281 | 0.781672 | 0.033082 | 0 | 0.475248 | 0 | 0 | 0.079622 | 0.015484 | 0 | 0 | 0 | 0 | 0 | 1 | 0.044004 | false | 0.014851 | 0.004951 | 0 | 0.077558 | 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 |
586f50a7a0afae1f1844d9526c7e6a665b4ab89c | 12,688 | py | Python | bullets.py | nckackerman/Tank-d | 9c7818c1229dac16250a1dedb9a4f83b2273711b | [
"WTFPL"
] | null | null | null | bullets.py | nckackerman/Tank-d | 9c7818c1229dac16250a1dedb9a4f83b2273711b | [
"WTFPL"
] | null | null | null | bullets.py | nckackerman/Tank-d | 9c7818c1229dac16250a1dedb9a4f83b2273711b | [
"WTFPL"
] | null | null | null | import pygame
import Lists
import constants
import colors
import player
import math
import pointGains
bulletWidth = 3
bulletHeight = 8
straightSpeed = 5
diagonalBulletSpeed = 3.5
shotDir = 0
class bullet(pygame.sprite.Sprite):
def __init__(self,width,height,xVel,yVel,color,posX,posY):
# Call the parent class (Sprite) constructor
pygame.sprite.Sprite.__init__(self)
self.image = pygame.Surface([width,height])
self.image.fill(color)
self.rect = self.image.get_rect()
self.xVel = xVel
self.yVel = yVel
self.image = self.image.convert()
self.initX = posX
self.initY = posY
def update(self):
# Move the bullet up 5 pixels
self.rect.y -= self.yVel
self.rect.x -= self.xVel
def spawnBullets(xSpeed,ySpeed,posX,posY):
if constants.activeMode != 2 or constants.playerColor == 0:
color = colors.BLUE
else:
color = colors.RED
if xSpeed == 0:
#leftbullet
bullet1 = bullet(bulletWidth,bulletHeight,xSpeed,ySpeed,color,posX,posY)
#right bullet
bullet2 = bullet(bulletWidth,bulletHeight,xSpeed,ySpeed,color,posX,posY)
bullet1.rect.x = posX
bullet1.rect.y = posY
bullet2.rect.x = posX + player.playerWidth-bulletWidth
bullet2.rect.y = posY
else:
#Upbullet
bullet1 = bullet(bulletHeight,bulletWidth,xSpeed,ySpeed,color,posX,posY)
#downbullet
bullet2 = bullet(bulletHeight,bulletWidth,xSpeed,ySpeed,color,posX,posY)
bullet1.rect.x = posX
bullet1.rect.y = posY
bullet2.rect.x = posX
bullet2.rect.y = posY + player.playerHeight-bulletWidth
if constants.activeMode != 2:
Lists.bullet_list.add(bullet1)
Lists.bullet_list.add(bullet2)
else:
if constants.playerColor == 0:
Lists.blue_bullet_list.add(bullet1)
Lists.blue_bullet_list.add(bullet2)
else:
Lists.red_bullet_list.add(bullet1)
Lists.red_bullet_list.add(bullet2)
Lists.all_sprites_list.add(bullet1)
Lists.all_sprites_list.add(bullet2)
Lists.bullet_list.add(bullet1)
Lists.bullet_list.add(bullet2)
# Add the bullet to the lists
def spawnOneBullet(xSpeed,ySpeed,posX,posY):
if constants.activeMode == 0 or constants.playerColor == 0:
color = colors.BLUE
else:
color = colors.RED
if xSpeed == 0:
singleBullet = bullet(bulletWidth,bulletHeight,xSpeed,ySpeed,color,posX,posY)
singleBullet.rect.x = posX
singleBullet.rect.y = posY
Lists.bullet_list.add(singleBullet)
Lists.all_sprites_list.add(singleBullet)
elif ySpeed == 0:
singleBullet = bullet(bulletHeight,bulletWidth,xSpeed,ySpeed,color,posX,posY)
singleBullet.rect.x = posX
singleBullet.rect.y = posY
Lists.bullet_list.add(singleBullet)
Lists.all_sprites_list.add(singleBullet)
else:
singleBullet = bullet(bulletHeight,bulletWidth,xSpeed,ySpeed,color,posX,posY)
singleBullet.rect.x = posX
singleBullet.rect.y = posY
Lists.bullet_list.add(singleBullet)
Lists.all_sprites_list.add(singleBullet)
# Add the bullet to the lists
def removeBullets():
#removes bullets that go off the screen
# if constants.activeMode != 2:
for thisBullet in Lists.bullet_list:
if thisBullet.rect.y <constants.player.rect.y - 200:
thisBullet.kill()
if thisBullet.rect.y >constants.player.rect.y + 200 :
thisBullet.kill()
elif thisBullet.rect.x >constants.player.rect.x + 200:
thisBullet.kill()
elif thisBullet.rect.x < constants.player.rect.x - 200:
thisBullet.kill()
# else:
# for thisBullet in Lists.bullet_list:
# if thisBullet.rect.y <constants.menu_height:
# thisBullet.yVel = -math.fabs(thisBullet.yVel)
# if thisBullet.rect.y >constants.screen_height+constants.menu_height:
# thisBullet.yVel = math.fabs(thisBullet.yVel)
# elif thisBullet.rect.x > constants.screen_width:
# thisBullet.xVel = math.fabs(thisBullet.xVel)
# elif thisBullet.rect.x < 0:
# thisBullet.xVel = -math.fabs(thisBullet.xVel)
def removeTitleBullets():
#removes bullets that go off the screen
for thisBullet in Lists.introScreenListBullets:
if thisBullet.rect.y <constants.menu_height:
thisBullet.kill()
if thisBullet.rect.y >constants.screen_height+constants.menu_height:
thisBullet.kill()
elif thisBullet.rect.x > constants.screen_width:
thisBullet.kill()
elif thisBullet.rect.x < 0:
thisBullet.kill()
def bulletHitEnemy(pg):
if constants.activeMode != 2:
for bullet in Lists.bullet_list:
Lists.bullet_hit_list = pygame.sprite.spritecollide(bullet, Lists.Enemy_list, True)
thisBullet = bullet
for bullet in Lists.bullet_hit_list:
thisBullet.kill()
constants.score += 10
pointGains.spawnNewPoints(colors.WHITE,thisBullet.rect.x,thisBullet.rect.y,10,pygame.time.get_ticks(),pg)
# Lists.startAnimateTimes_list.append(pygame.time.get_ticks())
# Lists.pointFade_List.append(thisBullet.rect.y)
# Lists.pointFade_List.append(thisBullet.rect.x)
else:
for bullet in Lists.red_bullet_list:
Lists.red_bullet_hit_list = pygame.sprite.spritecollide(bullet, Lists.Blue_Enemy_list, True)
thisBullet = bullet
for bullet in Lists.red_bullet_hit_list:
thisBullet.kill()
constants.score += 10
Lists.startAnimateTimes_list.append(pygame.time.get_ticks())
Lists.pointFade_List.append(thisBullet.rect.y)
Lists.pointFade_List.append(thisBullet.rect.x)
for bullet in Lists.blue_bullet_list:
Lists.blue_bullet_hit_list = pygame.sprite.spritecollide(bullet, Lists.Red_Enemy_list, True)
thisBullet = bullet
for bullet in Lists.blue_bullet_hit_list:
thisBullet.kill()
constants.score += 10
Lists.startAnimateTimes_list.append(pygame.time.get_ticks())
Lists.pointFade_List.append(thisBullet.rect.y)
Lists.pointFade_List.append(thisBullet.rect.x)
def fireWave(gamePlayer):
# shoot up
if constants.shotDir == 0 or constants.shotDir == constants.currHoldU:
spawnBullets(0,straightSpeed,gamePlayer.rect.x,gamePlayer.rect.y)
spawnOneBullet(0,straightSpeed,gamePlayer.rect.x + constants.playerSpawnX,gamePlayer.rect.y - constants.playerSpawnY/2)
spawnOneBullet(0,straightSpeed,gamePlayer.rect.x - constants.playerSpawnX/2,gamePlayer.rect.y - constants.playerSpawnY/2)
##this code will make 6 bullets come out instead of 4
#spawnOneBullet(0,straightSpeed,gamePlayer.rect.x + constants.playerSpawnX*1.5,gamePlayer.rect.y - constants.playerSpawnY)
#spawnOneBullet(0,straightSpeed,gamePlayer.rect.x - constants.playerSpawnX,gamePlayer.rect.y - constants.playerSpawnY)
# Shoot right
elif constants.shotDir == 1 or constants.shotDir == constants.currHoldR:
spawnBullets(-straightSpeed,0,gamePlayer.rect.x,gamePlayer.rect.y)
spawnOneBullet(-straightSpeed,0,gamePlayer.rect.x + constants.playerSpawnX/2,gamePlayer.rect.y - constants.playerSpawnY/2)
spawnOneBullet(-straightSpeed,0,gamePlayer.rect.x + constants.playerSpawnX/2,gamePlayer.rect.y + constants.playerSpawnY)
# Shoot down
elif constants.shotDir == 2 or constants.shotDir == constants.currHoldD:
spawnBullets(0,-straightSpeed,gamePlayer.rect.x,gamePlayer.rect.y)
spawnOneBullet(0,-straightSpeed,gamePlayer.rect.x + constants.playerSpawnX,gamePlayer.rect.y + constants.playerSpawnY/2)
spawnOneBullet(0,-straightSpeed,gamePlayer.rect.x - constants.playerSpawnX/2,gamePlayer.rect.y + constants.playerSpawnY/2)
# shoot left!
elif constants.shotDir == 3 or constants.shotDir == constants.currHoldL:
spawnBullets(straightSpeed,0,gamePlayer.rect.x,gamePlayer.rect.y)
spawnOneBullet(straightSpeed,0,gamePlayer.rect.x - constants.playerSpawnX/2,gamePlayer.rect.y - constants.playerSpawnY/2)
spawnOneBullet(straightSpeed,0,gamePlayer.rect.x - constants.playerSpawnX/2,gamePlayer.rect.y + constants.playerSpawnY)
#Up right bullet
elif constants.shotDir == constants.currHoldU+constants.currHoldR:
spawnBullets(-diagonalBulletSpeed,diagonalBulletSpeed,gamePlayer.rect.x,gamePlayer.rect.y + constants.playerSpawnY/4)
spawnOneBullet(-diagonalBulletSpeed,diagonalBulletSpeed,gamePlayer.rect.x + constants.playerSpawnX/4,gamePlayer.rect.y - constants.playerSpawnY/2)
spawnOneBullet(-diagonalBulletSpeed,diagonalBulletSpeed,gamePlayer.rect.x + constants.playerSpawnX/1.5,gamePlayer.rect.y + constants.playerSpawnY*1.25)
#UP Left bullet
elif constants.shotDir == constants.currHoldU+constants.currHoldL:
spawnBullets(diagonalBulletSpeed,diagonalBulletSpeed,gamePlayer.rect.x,gamePlayer.rect.y)
spawnOneBullet(diagonalBulletSpeed,diagonalBulletSpeed,gamePlayer.rect.x - constants.playerSpawnX/3,gamePlayer.rect.y - constants.playerSpawnY/1.5)
spawnOneBullet(diagonalBulletSpeed,diagonalBulletSpeed,gamePlayer.rect.x - constants.playerSpawnX/1.5,gamePlayer.rect.y + constants.playerSpawnY)
#Down Left bullet
elif constants.shotDir == constants.currHoldD+constants.currHoldL:
spawnBullets(diagonalBulletSpeed,-diagonalBulletSpeed,gamePlayer.rect.x,gamePlayer.rect.y)
spawnOneBullet(diagonalBulletSpeed,-diagonalBulletSpeed,gamePlayer.rect.x - constants.playerSpawnX/2,gamePlayer.rect.y - constants.playerSpawnY/2)
spawnOneBullet(diagonalBulletSpeed,-diagonalBulletSpeed,gamePlayer.rect.x - constants.playerSpawnX/3,gamePlayer.rect.y + constants.playerSpawnY*1.25)
#Down Right bullet
elif constants.shotDir == constants.currHoldD+constants.currHoldR:
spawnBullets(-diagonalBulletSpeed,-diagonalBulletSpeed,gamePlayer.rect.x,gamePlayer.rect.y)
spawnOneBullet(-diagonalBulletSpeed,-diagonalBulletSpeed,gamePlayer.rect.x + constants.playerSpawnX/1.5,gamePlayer.rect.y - constants.playerSpawnY/2)
spawnOneBullet(-diagonalBulletSpeed,-diagonalBulletSpeed,gamePlayer.rect.x + constants.playerSpawnX/2,gamePlayer.rect.y + constants.playerSpawnY*1.25)
#default to handle any odd occurences
else:
spawnBullets(-diagonalBulletSpeed,-diagonalBulletSpeed,gamePlayer.rect.x,gamePlayer.rect.y)
def fireNorm(gamePlayer):
if constants.shotDir == 0:
spawnBullets(0,straightSpeed,gamePlayer.rect.x,gamePlayer.rect.y)
elif constants.shotDir == 1:
spawnBullets(-straightSpeed,0,gamePlayer.rect.x,gamePlayer.rect.y)
elif constants.shotDir == 2:
spawnBullets(0,-straightSpeed,gamePlayer.rect.x,gamePlayer.rect.y)
elif constants.shotDir == 3:
spawnBullets(straightSpeed,0,gamePlayer.rect.x,gamePlayer.rect.y)
elif constants.shotDir == constants.currHoldL:
spawnBullets(straightSpeed,0,gamePlayer.rect.x,gamePlayer.rect.y)
elif constants.shotDir == constants.currHoldD:
spawnBullets(0,-straightSpeed,gamePlayer.rect.x,gamePlayer.rect.y)
elif constants.shotDir == constants.currHoldR:
spawnBullets(-straightSpeed,0,gamePlayer.rect.x,gamePlayer.rect.y)
elif constants.shotDir == constants.currHoldU:
spawnBullets(0,straightSpeed,gamePlayer.rect.x,gamePlayer.rect.y)
#Up right bullet
elif constants.shotDir == constants.currHoldU+constants.currHoldR:
spawnBullets(-diagonalBulletSpeed,diagonalBulletSpeed,gamePlayer.rect.x,gamePlayer.rect.y)
#UP Left bullet
elif constants.shotDir == constants.currHoldU+constants.currHoldL:
spawnBullets(diagonalBulletSpeed,diagonalBulletSpeed,gamePlayer.rect.x,gamePlayer.rect.y)
#Down Left bullet
elif constants.shotDir == constants.currHoldD+constants.currHoldL:
spawnBullets(diagonalBulletSpeed,-diagonalBulletSpeed,gamePlayer.rect.x,gamePlayer.rect.y)
#Down Right bullet
elif constants.shotDir == constants.currHoldD+constants.currHoldR:
spawnBullets(-diagonalBulletSpeed,-diagonalBulletSpeed,gamePlayer.rect.x,gamePlayer.rect.y)
#default to handle any odd occurences
else:
spawnBullets(-diagonalBulletSpeed,-diagonalBulletSpeed,gamePlayer.rect.x,gamePlayer.rect.y)
| 48.613027 | 159 | 0.704524 | 1,427 | 12,688 | 6.206027 | 0.094604 | 0.126468 | 0.067751 | 0.062105 | 0.860772 | 0.831075 | 0.810298 | 0.78636 | 0.713528 | 0.690154 | 0 | 0.01313 | 0.195618 | 12,688 | 260 | 160 | 48.8 | 0.854595 | 0.122005 | 0 | 0.46875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.046875 | false | 0 | 0.036458 | 0 | 0.088542 | 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 |
5870530a8c255037782d77d44e62c81e14199c64 | 34 | py | Python | punctfix/__init__.py | danspeech/punctfix | 025bb8ee3624df8805864867fe920946bf39dbb2 | [
"Apache-2.0"
] | 6 | 2022-03-23T10:45:48.000Z | 2022-03-26T14:19:38.000Z | punctfix/__init__.py | danspeech/punctfix | 025bb8ee3624df8805864867fe920946bf39dbb2 | [
"Apache-2.0"
] | 3 | 2022-03-23T10:45:34.000Z | 2022-03-30T06:29:56.000Z | punctfix/__init__.py | danspeech/punctfix | 025bb8ee3624df8805864867fe920946bf39dbb2 | [
"Apache-2.0"
] | null | null | null | from .inference import PunctFixer
| 17 | 33 | 0.852941 | 4 | 34 | 7.25 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.117647 | 34 | 1 | 34 | 34 | 0.966667 | 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 |
58776ff7fb4041c7abbcf86d9c98b20803a2cf7b | 100,109 | py | Python | algorithms/sem_prop/ontomatch/sem_prop_benchmarking.py | Soton-Song/valentine | 9a47859f912540cdbe961ed3585201d3accd07be | [
"Apache-2.0"
] | null | null | null | algorithms/sem_prop/ontomatch/sem_prop_benchmarking.py | Soton-Song/valentine | 9a47859f912540cdbe961ed3585201d3accd07be | [
"Apache-2.0"
] | null | null | null | algorithms/sem_prop/ontomatch/sem_prop_benchmarking.py | Soton-Song/valentine | 9a47859f912540cdbe961ed3585201d3accd07be | [
"Apache-2.0"
] | null | null | null | import time
from collections import defaultdict
import numpy as np
from tqdm import tqdm
from algorithms.sem_prop.inputoutput import utils as io
from algorithms.sem_prop.knowledgerepr import fieldnetwork
from algorithms.sem_prop.modelstore.elasticstore import StoreHandler
from algorithms.sem_prop.ontomatch import glove_api
from algorithms.sem_prop.ontomatch import matcher_lib as matcherlib
from algorithms.sem_prop.ontomatch.matcher_lib import MatchingType
from algorithms.sem_prop.ontomatch.ss_api import SSAPI
# INDIVIDUAL FUNCTIONS
# Only L4 and L5
def matchings_syntactic_only(network, kr_handlers, sim_threshold_attr=0.5, sim_threshold_rel=0.5):
# sim_threshold = 0.5 (original)
st = time.time()
l4_matchings = matcherlib.find_relation_class_name_matchings(network, kr_handlers,
minhash_sim_threshold=sim_threshold_rel)
l5_matchings = matcherlib.find_relation_class_attr_name_matching(network, kr_handlers,
minhash_sim_threshold=sim_threshold_attr)
et = time.time()
print("l4 total: " + str(len(l4_matchings)))
print("l5 total: " + str(len(l5_matchings)))
print("Took: " + str(et - st))
return l4_matchings, l5_matchings
# L4, L5, L42 and L52
def matchings_syntactic_and_naive_wordembeddings(network, kr_handlers, sim_threshold_attr=0.5, sim_threshold_rel=0.5,
sem_threshold_attr=0.5, sem_threshold_rel=0.5):
# sim_threshold = 0.5 (original)
st = time.time()
l4_matchings = matcherlib.find_relation_class_name_matchings(network, kr_handlers,
minhash_sim_threshold=sim_threshold_rel)
l5_matchings = matcherlib.find_relation_class_attr_name_matching(network, kr_handlers,
minhash_sim_threshold=sim_threshold_attr)
l42_matchings, neg_l42_matchings =matcherlib.find_relation_class_name_sem_matchings(network, kr_handlers,
sem_sim_threshold=sem_threshold_rel,
sensitivity_neg_signal=0.4,
penalize_unknown_word=False,
add_exact_matches=True)
l52_matchings, neg_l52_matchings = matcherlib.find_relation_class_attr_name_sem_matchings(network, kr_handlers,
semantic_sim_threshold=sem_threshold_attr,
sensitivity_neg_signal=0.4,
penalize_unknown_word = False,
add_exact_matches = True)
et = time.time()
print("l4 total: " + str(len(l4_matchings)))
print("l42 total: " + str(len(l42_matchings)))
print("l5 total: " + str(len(l5_matchings)))
print("l52 total: " + str(len(l52_matchings)))
print("Took: " + str(et - st))
return l4_matchings, l5_matchings, l42_matchings, l52_matchings
# L4, L5, L42, L52 with cancellation
def matchings_basic_pipeline_attr_rel_cancellation(network, kr_handlers, sim_threshold_attr=0.5,
sim_threshold_rel=0.5,
sem_threshold_attr=0.5,
sem_threshold_rel=0.5,
sensitivity_cancellation_signal=0.4):
# sim_threshold = 0.5 (original)
st = time.time()
l4_matchings = matcherlib.find_relation_class_name_matchings(network, kr_handlers,
minhash_sim_threshold=sim_threshold_rel)
l5_matchings = matcherlib.find_relation_class_attr_name_matching(network, kr_handlers,
minhash_sim_threshold=sim_threshold_attr)
l42_matchings, neg_l42_matchings = matcherlib.find_relation_class_name_sem_matchings(network, kr_handlers,
sem_sim_threshold=sem_threshold_rel,
sensitivity_neg_signal=sensitivity_cancellation_signal,
penalize_unknown_word = True,
add_exact_matches = False)
l52_matchings, neg_l52_matchings = matcherlib.find_relation_class_attr_name_sem_matchings(network, kr_handlers,
semantic_sim_threshold=sem_threshold_attr,
sensitivity_neg_signal=sensitivity_cancellation_signal,
penalize_unknown_word=True,
add_exact_matches=False)
# relation cancellation
st = time.time()
cancelled_l4_matchings = []
l4_dict = dict()
l4_matchings_set = set(l4_matchings)
for matching in l4_matchings_set:
l4_dict[matching] = 1
total_cancelled = 0
for m in neg_l42_matchings:
if m in l4_dict:
total_cancelled += 1
l4_matchings_set.remove(m)
cancelled_l4_matchings.append(m)
l4_matchings = list(l4_matchings_set)
et = time.time()
print("l4 cancel time: " + str((et - st)))
# attribute cancellation
st = time.time()
cancelled_l5_matchings = []
l5_dict = dict()
l5_matchings_set = set(l5_matchings)
for matching in l5_matchings:
l5_dict[matching] = 1
total_cancelled = 0
for m in neg_l52_matchings:
if m in l5_dict:
total_cancelled += 1
l5_matchings_set.remove(m)
cancelled_l5_matchings.append(m)
l5_matchings = list(l5_matchings_set)
et = time.time()
print("l5 cancel time: " + str((et - st)))
et = time.time()
print("l4 total: " + str(len(l4_matchings)))
print("l42 total: " + str(len(l42_matchings)))
print("l5 total: " + str(len(l5_matchings)))
print("l52 total: " + str(len(l52_matchings)))
print("Took: " + str(et - st))
return l4_matchings, l5_matchings, l42_matchings, l52_matchings
# L4, L5, L42, L52 with cancellation + L6
def matchings_basic_pipeline_coh_group_cancellation(network, kr_handlers, sim_threshold_attr=0.5,
sim_threshold_rel=0.5,
sem_threshold_attr=0.5,
sem_threshold_rel=0.5,
coh_group_threshold=0.5,
coh_group_size_cutoff=1,
sensitivity_cancellation_signal=0.4):
# sim_threshold = 0.5 (original)
st = time.time()
l4_matchings = matcherlib.find_relation_class_name_matchings(network, kr_handlers,
minhash_sim_threshold=sim_threshold_rel)
l5_matchings = matcherlib.find_relation_class_attr_name_matching(network, kr_handlers,
minhash_sim_threshold=sim_threshold_attr)
l42_matchings, neg_l42_matchings = matcherlib.find_relation_class_name_sem_matchings(network, kr_handlers,
sem_sim_threshold=sem_threshold_rel,
sensitivity_neg_signal=sensitivity_cancellation_signal,
penalize_unknown_word=True,
add_exact_matches=False)
l52_matchings, neg_l52_matchings = matcherlib.find_relation_class_attr_name_sem_matchings(network, kr_handlers,
semantic_sim_threshold=sem_threshold_attr,
sensitivity_neg_signal=sensitivity_cancellation_signal,
penalize_unknown_word=True,
add_exact_matches=False)
l6_matchings, table_groups = matcherlib.find_sem_coh_matchings(network, kr_handlers,
sem_sim_threshold=coh_group_threshold,
group_size_cutoff=coh_group_size_cutoff)
# relation cancellation
st = time.time()
cancelled_l4_matchings = []
l4_dict = dict()
l4_matchings_set = set(l4_matchings)
for matching in l4_matchings_set:
l4_dict[matching] = 1
total_cancelled = 0
for m in neg_l42_matchings:
if m in l4_dict:
total_cancelled += 1
l4_matchings_set.remove(m)
cancelled_l4_matchings.append(m)
l4_matchings = list(l4_matchings_set)
et = time.time()
print("l4 cancel time: " + str((et-st)))
# attribute cancellation
st = time.time()
cancelled_l5_matchings = []
l5_dict = dict()
l5_matchings_set = set(l5_matchings)
for matching in l5_matchings:
l5_dict[matching] = 1
total_cancelled = 0
for m in neg_l52_matchings:
if m in l5_dict:
total_cancelled += 1
l5_matchings_set.remove(m)
cancelled_l5_matchings.append(m)
l5_matchings = list(l5_matchings_set)
et = time.time()
print("l5 cancel time: " + str((et - st)))
# coh group cancellation relation
st = time.time()
l6_dict = dict()
l42_matchings_set = set(l42_matchings)
for matching in l6_matchings:
l6_dict[matching] = 1
for m in l42_matchings:
if m not in l6_dict:
l42_matchings_set.remove(m)
l42_matchings = list(l42_matchings_set)
et = time.time()
print("l42 cancel time: " + str((et-st)))
# coh group cancellation attribute
st = time.time()
l52_dict = defaultdict(list)
for matching in l52_matchings:
# adapt matching to be compared to L6
sch, cla = matching
sch0, sch1, sch2 = sch
idx = ((sch0, sch1, '_'), cla)
l52_dict[idx].append(matching)
# coh group cancellation attributes
idx_to_remove = []
# collect idx to remove
for k, v in l52_dict.items():
if k not in l6_dict:
idx_to_remove.append(k)
# remove the indexes and take the values as matching list
for el in idx_to_remove:
del l52_dict[el]
l52_matchings = []
for k, v in l52_dict.items():
for el in v:
l52_matchings.append(el)
"""
for m in l52_dict.keys():
if m not in l6_dict:
db_to_remove, rel_to_remove, _ = m[0]
for el in l52_matchings:
sch, cla = el
db, relation, attr = sch
if db == db_to_remove and relation == rel_to_remove:
if el in l52_matchings:
l52_matchings.remove(el)
"""
et = time.time()
print("l52 cancel time: " + str(et-st))
et = time.time()
print("l4 total: " + str(len(l4_matchings)))
print("l42 total: " + str(len(l42_matchings)))
print("l5 total: " + str(len(l5_matchings)))
print("l52 total: " + str(len(l52_matchings)))
print("Took: " + str(et - st))
return l4_matchings, l5_matchings, l42_matchings, l52_matchings
def matchings_basic_pipeline_coh_group_cancellation_and_content(om, network, kr_handlers, store_client,
sim_threshold_attr=0.5,
sim_threshold_rel=0.5,
sem_threshold_attr=0.5,
sem_threshold_rel=0.5,
coh_group_threshold=0.5,
coh_group_size_cutoff=1,
sensitivity_cancellation_signal=0.4):
# sim_threshold = 0.5 (original)
st = time.time()
l4_matchings = matcherlib.find_relation_class_name_matchings(network, kr_handlers,
minhash_sim_threshold=sim_threshold_rel)
l5_matchings = matcherlib.find_relation_class_attr_name_matching(network, kr_handlers,
minhash_sim_threshold=sim_threshold_attr)
l42_matchings, neg_l42_matchings = matcherlib.find_relation_class_name_sem_matchings(network, kr_handlers,
sem_sim_threshold=sem_threshold_rel,
sensitivity_neg_signal=sensitivity_cancellation_signal)
l52_matchings, neg_l52_matchings = matcherlib.find_relation_class_attr_name_sem_matchings(network, kr_handlers,
semantic_sim_threshold=sem_threshold_attr,
sensitivity_neg_signal=sensitivity_cancellation_signal)
l6_matchings, table_groups = matcherlib.find_sem_coh_matchings(network, kr_handlers,
sem_sim_threshold=coh_group_threshold,
group_size_cutoff=coh_group_size_cutoff)
# relation cancellation
st = time.time()
cancelled_l4_matchings = []
l4_dict = dict()
l4_matchings_set = set(l4_matchings)
for matching in l4_matchings_set:
l4_dict[matching] = 1
total_cancelled = 0
for m in neg_l42_matchings:
if m in l4_dict:
total_cancelled += 1
l4_matchings_set.remove(m)
cancelled_l4_matchings.append(m)
l4_matchings = list(l4_matchings_set)
et = time.time()
print("l4 cancel time: " + str((et - st)))
# attribute cancellation
st = time.time()
cancelled_l5_matchings = []
l5_dict = dict()
l5_matchings_set = set(l5_matchings)
for matching in l5_matchings:
l5_dict[matching] = 1
total_cancelled = 0
for m in neg_l52_matchings:
if m in l5_dict:
total_cancelled += 1
l5_matchings_set.remove(m)
cancelled_l5_matchings.append(m)
l5_matchings = list(l5_matchings_set)
et = time.time()
print("l5 cancel time: " + str((et - st)))
# coh group cancellation relation
st = time.time()
l6_dict = dict()
l42_matchings_set = set(l42_matchings)
for matching in l6_matchings:
l6_dict[matching] = 1
for m in l42_matchings:
if m not in l6_dict:
l42_matchings_set.remove(m)
l42_matchings = list(l42_matchings_set)
et = time.time()
print("l42 cancel time: " + str((et - st)))
# coh group cancellation attribute
st = time.time()
l52_dict = defaultdict(list)
for matching in l52_matchings:
# adapt matching to be compared to L6
sch, cla = matching
sch0, sch1, sch2 = sch
idx = ((sch0, sch1, '_'), cla)
l52_dict[idx].append(matching)
# coh group cancellation attributes
idx_to_remove = []
# collect idx to remove
for k, v in l52_dict.items():
if k not in l6_dict:
idx_to_remove.append(k)
# remove the indexes and take the values as matching list
for el in idx_to_remove:
del l52_dict[el]
l52_matchings = []
for k, v in l52_dict.items():
for el in v:
l52_matchings.append(el)
# Build content sim
om.priv_build_content_sim(0.6)
l1_matchings = []
for kr_name, kr_handler in kr_handlers.items():
kr_class_signatures = kr_handler.get_classes_signatures()
l1_matchings += om.compare_content_signatures(kr_name, kr_class_signatures)
l7_matchings = matcherlib.find_hierarchy_content_fuzzy(kr_handlers, store_client)
et = time.time()
print("l1 total: " + str(len(l1_matchings)))
print("l4 total: " + str(len(l4_matchings)))
print("l42 total: " + str(len(l42_matchings)))
print("l5 total: " + str(len(l5_matchings)))
print("l52 total: " + str(len(l52_matchings)))
print("l7 total: " + str(len(l7_matchings)))
print("Took: " + str(et - st))
return l4_matchings, l5_matchings, l42_matchings, l52_matchings, l1_matchings, l7_matchings
def matchings_full_approach():
return
def store_results(path, name, matchings):
with open(path + name, 'w+') as f:
for k, v in matchings.items():
lines = v.print_serial()
for l in lines:
f.write(l + '\n')
def compute_pr_matchings(gt_matchings, matchings):
gtm = set(gt_matchings)
total_results = len(matchings)
# true_positives = 0
# for el in matchings:
# if el in gtm:
# true_positives += 1
true_positives = sum(map(lambda x: x in gtm, matchings))
if total_results == 0:
precision = 0
else:
precision = float(true_positives / total_results)
recall = float(true_positives / len(gt_matchings))
return precision, recall
def compute_pr(gt_file, r_file):
def parse_strings(list_of_strings):
# format is: db %%% table %%% attr ==>> onto %%% class_name %%% list_of_matchers
matchings = []
for l in list_of_strings:
tokens = l.split("==>>")
sch = tokens[0]
cla = tokens[1]
sch_tokens = sch.split("%%%")
sch_tokens = [t.strip() for t in sch_tokens]
cla_tokens = cla.split("%%%")
cla_tokens = [t.strip() for t in cla_tokens]
#matching_format = (((sch_tokens[0], sch_tokens[1], sch_tokens[2]), (cla_tokens[0], cla_tokens[1])), cla_tokens[2])
matching_format = (((sch_tokens[0], sch_tokens[1], sch_tokens[2]), (cla_tokens[0], cla_tokens[1])))
matchings.append(matching_format)
return matchings
with open(gt_file, 'r') as gt:
ground_truth_matchings_strings = gt.readlines()
with open(r_file, 'r') as r:
output_matchings_strings = r.readlines()
ground_truth_matchings = parse_strings(ground_truth_matchings_strings)
output_matchings = parse_strings(output_matchings_strings)
gtm = set(ground_truth_matchings)
total_results = len(output_matchings)
true_positives = 0
for el in output_matchings:
if el in gtm:
true_positives += 1
if total_results == 0:
precision = 0
else:
precision = float(true_positives / total_results)
recall = float(true_positives / len(ground_truth_matchings))
return precision, recall
# SCRIPT FUNCTIONS
def best_config(path_to_serialized_model, onto_name, path_to_ontology, path_to_sem_model, path_to_results):
# Deserialize model
network = fieldnetwork.deserialize_network(path_to_serialized_model)
# Create client
store_client = StoreHandler()
# Load glove model
print("Loading language model...")
glove_api.load_model(path_to_sem_model)
print("Loading language model...OK")
# Retrieve indexes
schema_sim_index = io.deserialize_object(path_to_serialized_model + 'schema_sim_index.pkl')
content_sim_index = io.deserialize_object(path_to_serialized_model + 'content_sim_index.pkl')
# Create ontomatch api
om = SSAPI(network, store_client, schema_sim_index, content_sim_index)
# Load parsed ontology
om.add_krs([(onto_name, path_to_ontology)], parsed=True)
print("best config...")
all_matchings = defaultdict(list)
l4_01, l5_01, l42_01, l52_01, l1, l7 = matchings_basic_pipeline_coh_group_cancellation_and_content(
om,
om.network,
om.kr_handlers,
store_client,
sim_threshold_attr=0.2,
sim_threshold_rel=0.2,
sem_threshold_attr=0.6,
sem_threshold_rel=0.7,
coh_group_threshold=0.5,
coh_group_size_cutoff=2,
sensitivity_cancellation_signal=0.3)
all_matchings[MatchingType.L1_CLASSNAME_ATTRVALUE] = l1
all_matchings[MatchingType.L4_CLASSNAME_RELATIONNAME_SYN] = l4_01
all_matchings[MatchingType.L5_CLASSNAME_ATTRNAME_SYN] = l5_01
all_matchings[MatchingType.L42_CLASSNAME_RELATIONNAME_SEM] = l42_01
all_matchings[MatchingType.L52_CLASSNAME_ATTRNAME_SEM] = l52_01
all_matchings[MatchingType.L7_CLASSNAME_ATTRNAME_FUZZY] = l7
combined_01 = matcherlib.combine_matchings(all_matchings)
store_results(path_to_results, "best_config", combined_01)
print("best_config...OK")
def relative_merit_one_onto(path_to_serialized_model, onto_name, path_to_ontology, path_to_sem_model, path_to_results):
# Deserialize model
network = fieldnetwork.deserialize_network(path_to_serialized_model)
# Create client
store_client = StoreHandler()
# Load glove model
print("Loading language model...")
glove_api.load_model(path_to_sem_model)
print("Loading language model...OK")
# Retrieve indexes
schema_sim_index = io.deserialize_object(path_to_serialized_model + 'schema_sim_index.pkl')
content_sim_index = io.deserialize_object(path_to_serialized_model + 'content_sim_index.pkl')
# Create ontomatch api
om = SSAPI(network, store_client, schema_sim_index, content_sim_index)
# Load parsed ontology
om.add_krs([(onto_name, path_to_ontology)], parsed=True)
# Experiments
# syntactic only
print("syn_only_01...")
all_matchings = defaultdict(list)
l4_01, l5_01 = matchings_syntactic_only(om.network, om.kr_handlers, sim_threshold_attr=0.1, sim_threshold_rel=0.1)
all_matchings[MatchingType.L4_CLASSNAME_RELATIONNAME_SYN] = l4_01
all_matchings[MatchingType.L5_CLASSNAME_ATTRNAME_SYN] = l5_01
combined_01 = matcherlib.combine_matchings(all_matchings)
store_results(path_to_results, "syn_only_01", combined_01)
print("syn_only_01...OK")
print("syn_only_03...")
all_matchings = defaultdict(list)
l4_03, l5_03 = matchings_syntactic_only(om.network, om.kr_handlers, sim_threshold_attr=0.3, sim_threshold_rel=0.3)
all_matchings[MatchingType.L4_CLASSNAME_RELATIONNAME_SYN] = l4_03
all_matchings[MatchingType.L5_CLASSNAME_ATTRNAME_SYN] = l5_03
combined_03 = matcherlib.combine_matchings(all_matchings)
store_results(path_to_results, "syn_only_03", combined_03)
print("syn_only_03...OK")
print("syn_only_05...")
all_matchings = defaultdict(list)
l4_05, l5_05 = matchings_syntactic_only(om.network, om.kr_handlers, sim_threshold_attr=0.5, sim_threshold_rel=0.5)
all_matchings[MatchingType.L4_CLASSNAME_RELATIONNAME_SYN] = l4_05
all_matchings[MatchingType.L5_CLASSNAME_ATTRNAME_SYN] = l5_05
combined_05 = matcherlib.combine_matchings(all_matchings)
store_results(path_to_results, "syn_only_05", combined_05)
print("syn_only_05...OK")
print("syn_only_07...")
all_matchings = defaultdict(list)
l4_07, l5_07 = matchings_syntactic_only(om.network, om.kr_handlers, sim_threshold_attr=0.7, sim_threshold_rel=0.7)
all_matchings[MatchingType.L4_CLASSNAME_RELATIONNAME_SYN] = l4_07
all_matchings[MatchingType.L5_CLASSNAME_ATTRNAME_SYN] = l5_07
combined_07 = matcherlib.combine_matchings(all_matchings)
store_results(path_to_results, "syn_only_07", combined_07)
print("syn_only_07...OK")
print("syn_only_09...")
all_matchings = defaultdict(list)
l4_09, l5_09 = matchings_syntactic_only(om.network, om.kr_handlers, sim_threshold_attr=0.9, sim_threshold_rel=0.9)
all_matchings[MatchingType.L4_CLASSNAME_RELATIONNAME_SYN] = l4_09
all_matchings[MatchingType.L5_CLASSNAME_ATTRNAME_SYN] = l5_09
combined_09 = matcherlib.combine_matchings(all_matchings)
store_results(path_to_results, "syn_only_09", combined_09)
print("syn_only_09...OK")
# syntactic and naive embeddings
print("syn_naive_we_01...")
all_matchings = defaultdict(list)
l4_01, l5_01, l42_01, l52_01 = matchings_syntactic_and_naive_wordembeddings(om.network, om.kr_handlers,
sim_threshold_attr=0.1,
sim_threshold_rel=0.1,
sem_threshold_attr=0.1,
sem_threshold_rel=0.1)
all_matchings[MatchingType.L4_CLASSNAME_RELATIONNAME_SYN] = l4_01
all_matchings[MatchingType.L5_CLASSNAME_ATTRNAME_SYN] = l5_01
all_matchings[MatchingType.L42_CLASSNAME_RELATIONNAME_SEM] = l42_01
all_matchings[MatchingType.L52_CLASSNAME_ATTRNAME_SEM] = l52_01
combined_01 = matcherlib.combine_matchings(all_matchings)
store_results(path_to_results, "syn_naive_we_01", combined_01)
print("syn_naive_we_01...OK")
print("syn_naive_we_03...")
all_matchings = defaultdict(list)
l4_03, l5_03, l42_03, l52_03 = matchings_syntactic_and_naive_wordembeddings(om.network, om.kr_handlers,
sim_threshold_attr=0.3,
sim_threshold_rel=0.3,
sem_threshold_attr=0.3,
sem_threshold_rel=0.3)
all_matchings[MatchingType.L4_CLASSNAME_RELATIONNAME_SYN] = l4_03
all_matchings[MatchingType.L5_CLASSNAME_ATTRNAME_SYN] = l5_03
all_matchings[MatchingType.L42_CLASSNAME_RELATIONNAME_SEM] = l42_03
all_matchings[MatchingType.L52_CLASSNAME_ATTRNAME_SEM] = l52_03
combined_03 = matcherlib.combine_matchings(all_matchings)
store_results(path_to_results, "syn_naive_we_03", combined_03)
print("syn_naive_we_03...OK")
print("syn_naive_we_05...")
all_matchings = defaultdict(list)
l4_05, l5_05, l42_05, l52_05 = matchings_syntactic_and_naive_wordembeddings(om.network, om.kr_handlers,
sim_threshold_attr=0.5,
sim_threshold_rel=0.5,
sem_threshold_attr=0.5,
sem_threshold_rel=0.5)
all_matchings[MatchingType.L4_CLASSNAME_RELATIONNAME_SYN] = l4_05
all_matchings[MatchingType.L5_CLASSNAME_ATTRNAME_SYN] = l5_05
all_matchings[MatchingType.L42_CLASSNAME_RELATIONNAME_SEM] = l42_05
all_matchings[MatchingType.L52_CLASSNAME_ATTRNAME_SEM] = l52_05
combined_05 = matcherlib.combine_matchings(all_matchings)
store_results(path_to_results, "syn_naive_we_05", combined_05)
print("syn_naive_we_05...OK")
print("syn_naive_we_07...OK")
all_matchings = defaultdict(list)
l4_07, l5_07, l42_07, l52_07 = matchings_syntactic_and_naive_wordembeddings(om.network, om.kr_handlers,
sim_threshold_attr=0.7,
sim_threshold_rel=0.7,
sem_threshold_attr=0.7,
sem_threshold_rel=0.7)
all_matchings[MatchingType.L4_CLASSNAME_RELATIONNAME_SYN] = l4_07
all_matchings[MatchingType.L5_CLASSNAME_ATTRNAME_SYN] = l5_07
all_matchings[MatchingType.L42_CLASSNAME_RELATIONNAME_SEM] = l42_07
all_matchings[MatchingType.L52_CLASSNAME_ATTRNAME_SEM] = l52_07
combined_07 = matcherlib.combine_matchings(all_matchings)
store_results(path_to_results, "syn_naive_we_07", combined_07)
print("syn_naive_we_07...OK")
print("syn_naive_we_09...")
all_matchings = defaultdict(list)
l4_09, l5_09, l42_09, l52_09 = matchings_syntactic_and_naive_wordembeddings(om.network, om.kr_handlers,
sim_threshold_attr=0.9,
sim_threshold_rel=0.9,
sem_threshold_attr=0.9,
sem_threshold_rel=0.9)
all_matchings[MatchingType.L4_CLASSNAME_RELATIONNAME_SYN] = l4_09
all_matchings[MatchingType.L5_CLASSNAME_ATTRNAME_SYN] = l5_09
all_matchings[MatchingType.L42_CLASSNAME_RELATIONNAME_SEM] = l42_09
all_matchings[MatchingType.L52_CLASSNAME_ATTRNAME_SEM] = l52_09
combined_09 = matcherlib.combine_matchings(all_matchings)
store_results(path_to_results, "syn_naive_we_09", combined_09)
print("syn_naive_we_09...OK")
# Basic pipeline
print("basic_01...")
all_matchings = defaultdict(list)
l4_01, l5_01, l42_01, l52_01 = matchings_basic_pipeline_attr_rel_cancellation(om.network, om.kr_handlers,
sim_threshold_attr=0.1,
sim_threshold_rel=0.1,
sem_threshold_attr=0.1,
sem_threshold_rel=0.1,
sensitivity_cancellation_signal=0.4)
all_matchings[MatchingType.L4_CLASSNAME_RELATIONNAME_SYN] = l4_01
all_matchings[MatchingType.L5_CLASSNAME_ATTRNAME_SYN] = l5_01
all_matchings[MatchingType.L42_CLASSNAME_RELATIONNAME_SEM] = l42_01
all_matchings[MatchingType.L52_CLASSNAME_ATTRNAME_SEM] = l52_01
combined_01 = matcherlib.combine_matchings(all_matchings)
store_results(path_to_results, "basic_01", combined_01)
print("basic_01...OK")
print("basic_03...")
all_matchings = defaultdict(list)
l4_03, l5_03, l42_03, l52_03 = matchings_basic_pipeline_attr_rel_cancellation(om.network, om.kr_handlers,
sim_threshold_attr=0.3,
sim_threshold_rel=0.3,
sem_threshold_attr=0.3,
sem_threshold_rel=0.3,
sensitivity_cancellation_signal=0.4)
all_matchings[MatchingType.L4_CLASSNAME_RELATIONNAME_SYN] = l4_03
all_matchings[MatchingType.L5_CLASSNAME_ATTRNAME_SYN] = l5_03
all_matchings[MatchingType.L42_CLASSNAME_RELATIONNAME_SEM] = l42_03
all_matchings[MatchingType.L52_CLASSNAME_ATTRNAME_SEM] = l52_03
combined_03 = matcherlib.combine_matchings(all_matchings)
store_results(path_to_results, "basic_03", combined_03)
print("basic_03...OK")
print("basic_05...")
all_matchings = defaultdict(list)
l4_05, l5_05, l42_05, l52_05 = matchings_basic_pipeline_attr_rel_cancellation(om.network, om.kr_handlers,
sim_threshold_attr=0.5,
sim_threshold_rel=0.5,
sem_threshold_attr=0.5,
sem_threshold_rel=0.5,
sensitivity_cancellation_signal=0.4)
all_matchings[MatchingType.L4_CLASSNAME_RELATIONNAME_SYN] = l4_05
all_matchings[MatchingType.L5_CLASSNAME_ATTRNAME_SYN] = l5_05
all_matchings[MatchingType.L42_CLASSNAME_RELATIONNAME_SEM] = l42_05
all_matchings[MatchingType.L52_CLASSNAME_ATTRNAME_SEM] = l52_05
combined_05 = matcherlib.combine_matchings(all_matchings)
store_results(path_to_results, "basic_05", combined_05)
print("basic_05...OK")
print("basic_07...")
all_matchings = defaultdict(list)
l4_07, l5_07, l42_07, l52_07 = matchings_basic_pipeline_attr_rel_cancellation(om.network, om.kr_handlers,
sim_threshold_attr=0.7,
sim_threshold_rel=0.7,
sem_threshold_attr=0.7,
sem_threshold_rel=0.7,
sensitivity_cancellation_signal=0.4)
all_matchings[MatchingType.L4_CLASSNAME_RELATIONNAME_SYN] = l4_07
all_matchings[MatchingType.L5_CLASSNAME_ATTRNAME_SYN] = l5_07
all_matchings[MatchingType.L42_CLASSNAME_RELATIONNAME_SEM] = l42_07
all_matchings[MatchingType.L52_CLASSNAME_ATTRNAME_SEM] = l52_07
combined_07 = matcherlib.combine_matchings(all_matchings)
store_results(path_to_results, "basic_07", combined_07)
print("basic_07...OK")
print("basic_09...")
all_matchings = defaultdict(list)
l4_09, l5_09, l42_09, l52_09 = matchings_basic_pipeline_attr_rel_cancellation(om.network, om.kr_handlers,
sim_threshold_attr=0.9,
sim_threshold_rel=0.9,
sem_threshold_attr=0.9,
sem_threshold_rel=0.9,
sensitivity_cancellation_signal=0.4)
all_matchings[MatchingType.L4_CLASSNAME_RELATIONNAME_SYN] = l4_09
all_matchings[MatchingType.L5_CLASSNAME_ATTRNAME_SYN] = l5_09
all_matchings[MatchingType.L42_CLASSNAME_RELATIONNAME_SEM] = l42_09
all_matchings[MatchingType.L52_CLASSNAME_ATTRNAME_SEM] = l52_09
combined_09 = matcherlib.combine_matchings(all_matchings)
store_results(path_to_results, "basic_09", combined_09)
print("basic_09...OK")
# Basic pipeline with l6 cancellation
print("basic_l6cancel_01...")
all_matchings = defaultdict(list)
l4_01, l5_01, l42_01, l52_01 = matchings_basic_pipeline_coh_group_cancellation(om.network, om.kr_handlers,
sim_threshold_attr=0.1,
sim_threshold_rel=0.1,
sem_threshold_attr=0.1,
sem_threshold_rel=0.1,
coh_group_threshold=0.5,
coh_group_size_cutoff=1,
sensitivity_cancellation_signal=0.4)
all_matchings[MatchingType.L4_CLASSNAME_RELATIONNAME_SYN] = l4_01
all_matchings[MatchingType.L5_CLASSNAME_ATTRNAME_SYN] = l5_01
all_matchings[MatchingType.L42_CLASSNAME_RELATIONNAME_SEM] = l42_01
all_matchings[MatchingType.L52_CLASSNAME_ATTRNAME_SEM] = l52_01
combined_01 = matcherlib.combine_matchings(all_matchings)
store_results(path_to_results, "basic_l6cancel_01", combined_01)
print("basic_l6cancel_01...OK")
print("basic_l6cancel_03...")
all_matchings = defaultdict(list)
l4_03, l5_03, l42_03, l52_03 = matchings_basic_pipeline_coh_group_cancellation(om.network, om.kr_handlers,
sim_threshold_attr=0.3,
sim_threshold_rel=0.3,
sem_threshold_attr=0.3,
sem_threshold_rel=0.3,
coh_group_threshold=0.5,
coh_group_size_cutoff=1,
sensitivity_cancellation_signal=0.4)
all_matchings[MatchingType.L4_CLASSNAME_RELATIONNAME_SYN] = l4_03
all_matchings[MatchingType.L5_CLASSNAME_ATTRNAME_SYN] = l5_03
all_matchings[MatchingType.L42_CLASSNAME_RELATIONNAME_SEM] = l42_03
all_matchings[MatchingType.L52_CLASSNAME_ATTRNAME_SEM] = l52_03
combined_03 = matcherlib.combine_matchings(all_matchings)
store_results(path_to_results, "basic_l6cancel_03", combined_03)
print("basic_l6cancel_03...OK")
print("basic_l6cancel_05...")
all_matchings = defaultdict(list)
l4_05, l5_05, l42_05, l52_05 = matchings_basic_pipeline_coh_group_cancellation(om.network, om.kr_handlers,
sim_threshold_attr=0.5,
sim_threshold_rel=0.5,
sem_threshold_attr=0.5,
sem_threshold_rel=0.5,
coh_group_threshold=0.5,
coh_group_size_cutoff=1,
sensitivity_cancellation_signal=0.4)
all_matchings[MatchingType.L4_CLASSNAME_RELATIONNAME_SYN] = l4_05
all_matchings[MatchingType.L5_CLASSNAME_ATTRNAME_SYN] = l5_05
all_matchings[MatchingType.L42_CLASSNAME_RELATIONNAME_SEM] = l42_05
all_matchings[MatchingType.L52_CLASSNAME_ATTRNAME_SEM] = l52_05
combined_05 = matcherlib.combine_matchings(all_matchings)
store_results(path_to_results, "basic_l6cancel_05", combined_05)
print("basic_l6cancel_05...OK")
print("basic_l6cancel_07...")
all_matchings = defaultdict(list)
l4_07, l5_07, l42_07, l52_07 = matchings_basic_pipeline_coh_group_cancellation(om.network, om.kr_handlers,
sim_threshold_attr=0.7,
sim_threshold_rel=0.7,
sem_threshold_attr=0.7,
sem_threshold_rel=0.7,
coh_group_threshold=0.5,
coh_group_size_cutoff=1,
sensitivity_cancellation_signal=0.4)
all_matchings[MatchingType.L4_CLASSNAME_RELATIONNAME_SYN] = l4_07
all_matchings[MatchingType.L5_CLASSNAME_ATTRNAME_SYN] = l5_07
all_matchings[MatchingType.L42_CLASSNAME_RELATIONNAME_SEM] = l42_07
all_matchings[MatchingType.L52_CLASSNAME_ATTRNAME_SEM] = l52_07
combined_07 = matcherlib.combine_matchings(all_matchings)
store_results(path_to_results, "basic_l6cancel_07", combined_07)
print("basic_l6cancel_07...OK")
print("basic_l6cancel_09...")
all_matchings = defaultdict(list)
l4_09, l5_09, l42_09, l52_09 = matchings_basic_pipeline_coh_group_cancellation(om.network, om.kr_handlers,
sim_threshold_attr=0.9,
sim_threshold_rel=0.9,
sem_threshold_attr=0.9,
sem_threshold_rel=0.9,
coh_group_threshold=0.5,
coh_group_size_cutoff=1,
sensitivity_cancellation_signal=0.4)
all_matchings[MatchingType.L4_CLASSNAME_RELATIONNAME_SYN] = l4_09
all_matchings[MatchingType.L5_CLASSNAME_ATTRNAME_SYN] = l5_09
all_matchings[MatchingType.L42_CLASSNAME_RELATIONNAME_SEM] = l42_09
all_matchings[MatchingType.L52_CLASSNAME_ATTRNAME_SEM] = l52_09
combined_09 = matcherlib.combine_matchings(all_matchings)
store_results(path_to_results, "basic_l6cancel_09", combined_09)
print("basic_l6cancel_09...OK")
# Basic pipeline with content
print("basic_content_01...")
all_matchings = defaultdict(list)
l4_01, l5_01, l42_01, l52_01, l1, l7 = matchings_basic_pipeline_coh_group_cancellation_and_content(
om,
om.network,
om.kr_handlers,
store_client,
sim_threshold_attr=0.1,
sim_threshold_rel=0.1,
sem_threshold_attr=0.1,
sem_threshold_rel=0.1,
coh_group_threshold=0.5,
coh_group_size_cutoff=1,
sensitivity_cancellation_signal=0.4)
all_matchings[MatchingType.L1_CLASSNAME_ATTRVALUE] = l1
all_matchings[MatchingType.L4_CLASSNAME_RELATIONNAME_SYN] = l4_01
all_matchings[MatchingType.L5_CLASSNAME_ATTRNAME_SYN] = l5_01
all_matchings[MatchingType.L42_CLASSNAME_RELATIONNAME_SEM] = l42_01
all_matchings[MatchingType.L52_CLASSNAME_ATTRNAME_SEM] = l52_01
all_matchings[MatchingType.L7_CLASSNAME_ATTRNAME_FUZZY] = l7
combined_01 = matcherlib.combine_matchings(all_matchings)
store_results(path_to_results, "basic_content_01", combined_01)
print("basic_content_01...OK")
print("basic_content_03...")
all_matchings = defaultdict(list)
l4_03, l5_03, l42_03, l52_03, l1, l7 = matchings_basic_pipeline_coh_group_cancellation_and_content(
om,
om.network,
om.kr_handlers,
store_client,
sim_threshold_attr=0.3,
sim_threshold_rel=0.3,
sem_threshold_attr=0.3,
sem_threshold_rel=0.3,
coh_group_threshold=0.5,
coh_group_size_cutoff=1,
sensitivity_cancellation_signal=0.4)
all_matchings[MatchingType.L1_CLASSNAME_ATTRVALUE] = l1
all_matchings[MatchingType.L4_CLASSNAME_RELATIONNAME_SYN] = l4_03
all_matchings[MatchingType.L5_CLASSNAME_ATTRNAME_SYN] = l5_03
all_matchings[MatchingType.L42_CLASSNAME_RELATIONNAME_SEM] = l42_03
all_matchings[MatchingType.L52_CLASSNAME_ATTRNAME_SEM] = l52_03
all_matchings[MatchingType.L7_CLASSNAME_ATTRNAME_FUZZY] = l7
combined_03 = matcherlib.combine_matchings(all_matchings)
store_results(path_to_results, "basic_content_03", combined_03)
print("basic_content_03...OK")
print("basic_content_05...")
all_matchings = defaultdict(list)
l4_05, l5_05, l42_05, l52_05, l1, l7 = matchings_basic_pipeline_coh_group_cancellation_and_content(
om,
om.network,
om.kr_handlers,
store_client,
sim_threshold_attr=0.5,
sim_threshold_rel=0.5,
sem_threshold_attr=0.5,
sem_threshold_rel=0.5,
coh_group_threshold=0.5,
coh_group_size_cutoff=1,
sensitivity_cancellation_signal=0.4)
all_matchings[MatchingType.L1_CLASSNAME_ATTRVALUE] = l1
all_matchings[MatchingType.L4_CLASSNAME_RELATIONNAME_SYN] = l4_05
all_matchings[MatchingType.L5_CLASSNAME_ATTRNAME_SYN] = l5_05
all_matchings[MatchingType.L42_CLASSNAME_RELATIONNAME_SEM] = l42_05
all_matchings[MatchingType.L52_CLASSNAME_ATTRNAME_SEM] = l52_05
all_matchings[MatchingType.L7_CLASSNAME_ATTRNAME_FUZZY] = l7
combined_05 = matcherlib.combine_matchings(all_matchings)
store_results(path_to_results, "basic_content_05", combined_05)
print("basic_content_05...OK")
print("basic_content_07...")
all_matchings = defaultdict(list)
l4_07, l5_07, l42_07, l52_07, l1, l7 = matchings_basic_pipeline_coh_group_cancellation_and_content(
om,
om.network,
om.kr_handlers,
store_client,
sim_threshold_attr=0.7,
sim_threshold_rel=0.7,
sem_threshold_attr=0.7,
sem_threshold_rel=0.7,
coh_group_threshold=0.5,
coh_group_size_cutoff=1,
sensitivity_cancellation_signal=0.4)
all_matchings[MatchingType.L1_CLASSNAME_ATTRVALUE] = l1
all_matchings[MatchingType.L4_CLASSNAME_RELATIONNAME_SYN] = l4_07
all_matchings[MatchingType.L5_CLASSNAME_ATTRNAME_SYN] = l5_07
all_matchings[MatchingType.L42_CLASSNAME_RELATIONNAME_SEM] = l42_07
all_matchings[MatchingType.L52_CLASSNAME_ATTRNAME_SEM] = l52_07
all_matchings[MatchingType.L7_CLASSNAME_ATTRNAME_FUZZY] = l7
combined_07 = matcherlib.combine_matchings(all_matchings)
store_results(path_to_results, "basic_content_07", combined_07)
print("basic_content_07...OK")
print("basic_content_09...")
all_matchings = defaultdict(list)
l4_09, l5_09, l42_09, l52_09, l1, l7 = matchings_basic_pipeline_coh_group_cancellation_and_content(
om,
om.network,
om.kr_handlers,
store_client,
sim_threshold_attr=0.7,
sim_threshold_rel=0.7,
sem_threshold_attr=0.7,
sem_threshold_rel=0.7,
coh_group_threshold=0.5,
coh_group_size_cutoff=1,
sensitivity_cancellation_signal=0.4)
all_matchings[MatchingType.L1_CLASSNAME_ATTRVALUE] = l1
all_matchings[MatchingType.L4_CLASSNAME_RELATIONNAME_SYN] = l4_09
all_matchings[MatchingType.L5_CLASSNAME_ATTRNAME_SYN] = l5_09
all_matchings[MatchingType.L42_CLASSNAME_RELATIONNAME_SEM] = l42_09
all_matchings[MatchingType.L52_CLASSNAME_ATTRNAME_SEM] = l52_09
all_matchings[MatchingType.L7_CLASSNAME_ATTRNAME_FUZZY] = l7
combined_09 = matcherlib.combine_matchings(all_matchings)
store_results(path_to_results, "basic_content_09", combined_09)
print("basic_content_09...OK")
def check_quality_results(path_to_ground_truth_file, path_to_results):
# Check quality of results
results = []
precision, recall = compute_pr(path_to_ground_truth_file, (path_to_results + "syn_only_01"))
results.append(("syn_only_01", precision, recall))
precision, recall = compute_pr(path_to_ground_truth_file, (path_to_results + "syn_only_03"))
results.append(("syn_only_03", precision, recall))
precision, recall = compute_pr(path_to_ground_truth_file, (path_to_results + "syn_only_05"))
results.append(("syn_only_05", precision, recall))
precision, recall = compute_pr(path_to_ground_truth_file, (path_to_results + "syn_only_07"))
results.append(("syn_only_07", precision, recall))
precision, recall = compute_pr(path_to_ground_truth_file, (path_to_results + "syn_only_09"))
results.append(("syn_only_09", precision, recall))
precision, recall = compute_pr(path_to_ground_truth_file, (path_to_results + "syn_naive_we_01"))
results.append(("syn_naive_we_01", precision, recall))
precision, recall = compute_pr(path_to_ground_truth_file, (path_to_results + "syn_naive_we_03"))
results.append(("syn_naive_we_03", precision, recall))
precision, recall = compute_pr(path_to_ground_truth_file, (path_to_results + "syn_naive_we_05"))
results.append(("syn_naive_we_05", precision, recall))
precision, recall = compute_pr(path_to_ground_truth_file, (path_to_results + "syn_naive_we_07"))
results.append(("syn_naive_we_07", precision, recall))
precision, recall = compute_pr(path_to_ground_truth_file, (path_to_results + "syn_naive_we_09"))
results.append(("syn_naive_we_09", precision, recall))
precision, recall = compute_pr(path_to_ground_truth_file, (path_to_results + "basic_01"))
results.append(("basic_01", precision, recall))
precision, recall = compute_pr(path_to_ground_truth_file, (path_to_results + "basic_03"))
results.append(("basic_03", precision, recall))
precision, recall = compute_pr(path_to_ground_truth_file, (path_to_results + "basic_05"))
results.append(("basic_05", precision, recall))
precision, recall = compute_pr(path_to_ground_truth_file, (path_to_results + "basic_07"))
results.append(("basic_07", precision, recall))
precision, recall = compute_pr(path_to_ground_truth_file, (path_to_results + "basic_09"))
results.append(("basic_09", precision, recall))
precision, recall = compute_pr(path_to_ground_truth_file, (path_to_results + "basic_l6cancel_01"))
results.append(("basic_l6cancel_01", precision, recall))
precision, recall = compute_pr(path_to_ground_truth_file, (path_to_results + "basic_l6cancel_03"))
results.append(("basic_l6cancel_03", precision, recall))
precision, recall = compute_pr(path_to_ground_truth_file, (path_to_results + "basic_l6cancel_05"))
results.append(("basic_l6cancel_05", precision, recall))
precision, recall = compute_pr(path_to_ground_truth_file, (path_to_results + "basic_l6cancel_07"))
results.append(("basic_l6cancel_07", precision, recall))
precision, recall = compute_pr(path_to_ground_truth_file, (path_to_results + "basic_l6cancel_09"))
results.append(("basic_l6cancel_09", precision, recall))
precision, recall = compute_pr(path_to_ground_truth_file, (path_to_results + "basic_content_01"))
results.append(("basic_content_01", precision, recall))
precision, recall = compute_pr(path_to_ground_truth_file, (path_to_results + "basic_content_03"))
results.append(("basic_content_03", precision, recall))
precision, recall = compute_pr(path_to_ground_truth_file, (path_to_results + "basic_content_05"))
results.append(("basic_content_05", precision, recall))
precision, recall = compute_pr(path_to_ground_truth_file, (path_to_results + "basic_content_07"))
results.append(("basic_content_07", precision, recall))
precision, recall = compute_pr(path_to_ground_truth_file, (path_to_results + "basic_content_09"))
results.append(("basic_content_09", precision, recall))
with open(path_to_results + "RESULTS", 'w') as f:
for r in results:
f.write(str(r) + '\n')
def write_matchings_to(path, matchings):
with open(path, 'w') as f:
for m in matchings:
sch, cla = m
db, relation, attr = sch
ont, class_name = cla
matching_str = db + " %%% " + relation + " %%% " + attr + " ==>> " + ont + " %%% " + class_name + " %%% []"
f.write(matching_str + '\n')
def generate_results_battery_parameters(path_to_serialized_model, onto_name,
path_to_ontology, path_to_sem_model,
path_to_results):
# Deserialize model
network = fieldnetwork.deserialize_network(path_to_serialized_model)
# Create client
store_client = StoreHandler()
# Load glove model
print("Loading language model...")
glove_api.load_model(path_to_sem_model)
print("Loading language model...OK")
# Retrieve indexes
schema_sim_index = io.deserialize_object(path_to_serialized_model + 'schema_sim_index.pkl')
content_sim_index = io.deserialize_object(path_to_serialized_model + 'content_sim_index.pkl')
# Create ontomatch api
om = SSAPI(network, store_client, schema_sim_index, content_sim_index)
# Load parsed ontology
om.add_krs([(onto_name, path_to_ontology)], parsed=True)
# # Build content sim
om.priv_build_content_sim(0.6)
#
# l1_matchings = []
# for kr_name, kr_handler in om.kr_handlers.items():
# kr_class_signatures = kr_handler.get_classes_signatures()
# l1_matchings += om.compare_content_signatures(kr_name, kr_class_signatures)
#
# write_matchings_to(path_to_results + 'l1', l1_matchings)
l7_matchings = matcherlib.find_hierarchy_content_fuzzy(om.kr_handlers, store_client)
write_matchings_to(path_to_results + 'l7', l7_matchings)
l4_matchings_01 = matcherlib.find_relation_class_name_matchings(network, om.kr_handlers,
minhash_sim_threshold=0.1)
write_matchings_to(path_to_results + 'l4_01', l4_matchings_01)
l4_matchings_02 = matcherlib.find_relation_class_name_matchings(network, om.kr_handlers,
minhash_sim_threshold=0.2)
write_matchings_to(path_to_results + 'l4_02', l4_matchings_02)
l4_matchings_03 = matcherlib.find_relation_class_name_matchings(network, om.kr_handlers,
minhash_sim_threshold=0.3)
write_matchings_to(path_to_results + 'l4_03', l4_matchings_03)
l5_matchings_01 = matcherlib.find_relation_class_attr_name_matching(network, om.kr_handlers,
minhash_sim_threshold=0.1)
write_matchings_to(path_to_results + 'l5_01', l5_matchings_01)
l5_matchings_02 = matcherlib.find_relation_class_attr_name_matching(network, om.kr_handlers,
minhash_sim_threshold=0.2)
write_matchings_to(path_to_results + 'l5_02', l5_matchings_02)
l5_matchings_03 = matcherlib.find_relation_class_attr_name_matching(network, om.kr_handlers,
minhash_sim_threshold=0.3)
write_matchings_to(path_to_results + 'l5_03', l5_matchings_03)
l42_matchings_04, neg_l42_matchings_02 = matcherlib.find_relation_class_name_sem_matchings(network, om.kr_handlers,
sem_sim_threshold=0.4,
negative_signal_threshold=0.2,
add_exact_matches=False,
penalize_unknown_word=True)
write_matchings_to(path_to_results + 'l42_04', l42_matchings_04)
write_matchings_to(path_to_results + 'neg_l42_02', neg_l42_matchings_02)
l42_matchings_04 = None
neg_l42_matchings_02 = None
l42_matchings_05, neg_l42_matchings_03 = matcherlib.find_relation_class_name_sem_matchings(network, om.kr_handlers,
sem_sim_threshold=0.5,
negative_signal_threshold=0.3,
add_exact_matches=False,
penalize_unknown_word=True)
write_matchings_to(path_to_results + 'l42_05', l42_matchings_05)
write_matchings_to(path_to_results + 'neg_l42_03', neg_l42_matchings_03)
l42_matchings_06, neg_l42_matchings_04 = matcherlib.find_relation_class_name_sem_matchings(network, om.kr_handlers,
sem_sim_threshold=0.6,
negative_signal_threshold=0.4,
add_exact_matches=False,
penalize_unknown_word=True)
write_matchings_to(path_to_results + 'l42_06', l42_matchings_06)
write_matchings_to(path_to_results + 'neg_l42_04', neg_l42_matchings_04)
l42_matchings_06 = None
neg_l42_matchings_04 = None
l42_matchings_07, neg_l42_matchings_05 = matcherlib.find_relation_class_name_sem_matchings(network, om.kr_handlers,
sem_sim_threshold=0.7,
negative_signal_threshold=0.5,
add_exact_matches=False,
penalize_unknown_word=True)
write_matchings_to(path_to_results + 'l42_07', l42_matchings_07)
write_matchings_to(path_to_results + 'neg_l42_05', neg_l42_matchings_05)
l52_matchings_04, neg_l52_matchings_02 = matcherlib.find_relation_class_attr_name_sem_matchings(network, om.kr_handlers,
semantic_sim_threshold=0.4,
negative_signal_threshold=0.2,
add_exact_matches=False,
penalize_unknown_word=True)
write_matchings_to(path_to_results + 'l52_04', l52_matchings_04)
write_matchings_to(path_to_results + 'neg_l52_02', neg_l52_matchings_02)
l52_matchings_04 = None
neg_l52_matchings_02 = None
l52_matchings_05, neg_l52_matchings_03 = matcherlib.find_relation_class_attr_name_sem_matchings(network, om.kr_handlers,
semantic_sim_threshold=0.5,
negative_signal_threshold=0.3,
penalize_unknown_word=True,
add_exact_matches=False)
write_matchings_to(path_to_results + 'l52_05', l52_matchings_05)
write_matchings_to(path_to_results + 'neg_l52_03', neg_l52_matchings_03)
l52_matchings_06, neg_l52_matchings_04 = matcherlib.find_relation_class_attr_name_sem_matchings(network, om.kr_handlers,
semantic_sim_threshold=0.6,
negative_signal_threshold=0.4,
add_exact_matches=False,
penalize_unknown_word=True)
write_matchings_to(path_to_results + 'l52_06', l52_matchings_06)
write_matchings_to(path_to_results + 'neg_l52_04', neg_l52_matchings_04)
l52_matchings_06 = None
neg_l52_matchings_04 = None
l52_matchings_07, neg_l52_matchings_05 = matcherlib.find_relation_class_attr_name_sem_matchings(network, om.kr_handlers,
semantic_sim_threshold=0.7,
negative_signal_threshold=0.5,
add_exact_matches=False,
penalize_unknown_word=True)
write_matchings_to(path_to_results + 'l52_07', l52_matchings_07)
write_matchings_to(path_to_results + 'neg_l52_05', neg_l52_matchings_05)
l6_matchings_03_1, table_groups = matcherlib.find_sem_coh_matchings(network, om.kr_handlers,
sem_sim_threshold=0.3,
group_size_cutoff=1)
write_matchings_to(path_to_results + 'l6_03_1', l6_matchings_03_1)
l6_matchings_03_2, table_groups = matcherlib.find_sem_coh_matchings(network, om.kr_handlers,
sem_sim_threshold=0.3,
group_size_cutoff=2)
write_matchings_to(path_to_results + 'l6_03_2', l6_matchings_03_2)
l6_matchings_03_3, table_groups = matcherlib.find_sem_coh_matchings(network, om.kr_handlers,
sem_sim_threshold=0.3,
group_size_cutoff=3)
write_matchings_to(path_to_results + 'l6_03_3', l6_matchings_03_3)
l6_matchings_04_1, table_groups = matcherlib.find_sem_coh_matchings(network, om.kr_handlers,
sem_sim_threshold=0.4,
group_size_cutoff=1)
write_matchings_to(path_to_results + 'l6_04_1', l6_matchings_04_1)
l6_matchings_04_2, table_groups = matcherlib.find_sem_coh_matchings(network, om.kr_handlers,
sem_sim_threshold=0.4,
group_size_cutoff=2)
write_matchings_to(path_to_results + 'l6_04_2', l6_matchings_04_2)
l6_matchings_04_3, table_groups = matcherlib.find_sem_coh_matchings(network, om.kr_handlers,
sem_sim_threshold=0.4,
group_size_cutoff=3)
write_matchings_to(path_to_results + 'l6_04_3', l6_matchings_04_3)
l6_matchings_05_1, table_groups = matcherlib.find_sem_coh_matchings(network, om.kr_handlers,
sem_sim_threshold=0.5,
group_size_cutoff=1)
write_matchings_to(path_to_results + 'l6_05_1', l6_matchings_05_1)
l6_matchings_05_2, table_groups = matcherlib.find_sem_coh_matchings(network, om.kr_handlers,
sem_sim_threshold=0.5,
group_size_cutoff=2)
write_matchings_to(path_to_results + 'l6_05_2', l6_matchings_05_2)
l6_matchings_05_3, table_groups = matcherlib.find_sem_coh_matchings(network, om.kr_handlers,
sem_sim_threshold=0.5,
group_size_cutoff=3)
write_matchings_to(path_to_results + 'l6_05_3', l6_matchings_05_3)
def generate_results_battery_parameters2(path_to_serialized_model, onto_name,
path_to_ontology, path_to_sem_model,
path_to_results):
# Deserialize model
network = fieldnetwork.deserialize_network(path_to_serialized_model)
# Create client
store_client = StoreHandler()
# Load glove model
print("Loading language model...")
glove_api.load_model(path_to_sem_model)
print("Loading language model...OK")
# Retrieve indexes
schema_sim_index = io.deserialize_object(path_to_serialized_model + 'schema_sim_index.pkl')
content_sim_index = io.deserialize_object(path_to_serialized_model + 'content_sim_index.pkl')
# Create ontomatch api
om = SSAPI(network, store_client, schema_sim_index, content_sim_index)
# Load parsed ontology
om.add_krs([(onto_name, path_to_ontology)], parsed=True)
# Build content sim
l4_matchings_04 = matcherlib.find_relation_class_name_matchings(network, om.kr_handlers,
minhash_sim_threshold=0.4)
write_matchings_to(path_to_results + 'l4_04', l4_matchings_04)
l4_matchings_05 = matcherlib.find_relation_class_name_matchings(network, om.kr_handlers,
minhash_sim_threshold=0.5)
write_matchings_to(path_to_results + 'l4_05', l4_matchings_05)
l4_matchings_06 = matcherlib.find_relation_class_name_matchings(network, om.kr_handlers,
minhash_sim_threshold=0.6)
write_matchings_to(path_to_results + 'l4_06', l4_matchings_06)
l4_matchings_07 = matcherlib.find_relation_class_name_matchings(network, om.kr_handlers,
minhash_sim_threshold=0.7)
write_matchings_to(path_to_results + 'l4_07', l4_matchings_07)
l4_matchings_08 = matcherlib.find_relation_class_name_matchings(network, om.kr_handlers,
minhash_sim_threshold=0.8)
write_matchings_to(path_to_results + 'l4_08', l4_matchings_08)
l4_matchings_09 = matcherlib.find_relation_class_name_matchings(network, om.kr_handlers,
minhash_sim_threshold=0.9)
write_matchings_to(path_to_results + 'l4_09', l4_matchings_09)
l5_matchings_04 = matcherlib.find_relation_class_attr_name_matching(network, om.kr_handlers,
minhash_sim_threshold=0.4)
write_matchings_to(path_to_results + 'l5_04', l5_matchings_04)
l5_matchings_05 = matcherlib.find_relation_class_attr_name_matching(network, om.kr_handlers,
minhash_sim_threshold=0.5)
write_matchings_to(path_to_results + 'l5_05', l5_matchings_05)
l5_matchings_06 = matcherlib.find_relation_class_attr_name_matching(network, om.kr_handlers,
minhash_sim_threshold=0.6)
write_matchings_to(path_to_results + 'l5_06', l5_matchings_06)
l5_matchings_07 = matcherlib.find_relation_class_attr_name_matching(network, om.kr_handlers,
minhash_sim_threshold=0.7)
write_matchings_to(path_to_results + 'l5_07', l5_matchings_07)
l5_matchings_08 = matcherlib.find_relation_class_attr_name_matching(network, om.kr_handlers,
minhash_sim_threshold=0.8)
write_matchings_to(path_to_results + 'l5_08', l5_matchings_08)
l5_matchings_09 = matcherlib.find_relation_class_attr_name_matching(network, om.kr_handlers,
minhash_sim_threshold=0.9)
write_matchings_to(path_to_results + 'l5_09', l5_matchings_09)
l42_matchings_08, neg_l42_matchings_01 = matcherlib.find_relation_class_name_sem_matchings(network, om.kr_handlers,
sem_sim_threshold=0.8,
negative_signal_threshold=0.1,
add_exact_matches=False,
penalize_unknown_word=True)
write_matchings_to(path_to_results + 'l42_08', l42_matchings_08)
write_matchings_to(path_to_results + 'neg_l42_01', neg_l42_matchings_01)
l42_matchings_08 = None
neg_l42_matchings_01 = None
l42_matchings_09, neg_l42_matchings_06 = matcherlib.find_relation_class_name_sem_matchings(network, om.kr_handlers,
sem_sim_threshold=0.9,
negative_signal_threshold=0.6,
add_exact_matches=False,
penalize_unknown_word=True)
write_matchings_to(path_to_results + 'l42_09', l42_matchings_09)
write_matchings_to(path_to_results + 'neg_l42_06', neg_l42_matchings_06)
l42_matchings_09 = None
neg_l42_matchings_06 = None
l42_matchings_03, neg_l42_matchings_07 = matcherlib.find_relation_class_name_sem_matchings(network, om.kr_handlers,
sem_sim_threshold=0.3,
negative_signal_threshold=0.7,
add_exact_matches=False,
penalize_unknown_word=True)
write_matchings_to(path_to_results + 'l42_03', l42_matchings_03)
write_matchings_to(path_to_results + 'neg_l42_07', neg_l42_matchings_07)
l42_matchings_03 = None
neg_l42_matchings_07 = None
l52_matchings_08, neg_l52_matchings_01 = matcherlib.find_relation_class_attr_name_sem_matchings(network, om.kr_handlers,
semantic_sim_threshold=0.8,
negative_signal_threshold=0.1,
add_exact_matches=False,
penalize_unknown_word=True)
write_matchings_to(path_to_results + 'l52_08', l52_matchings_08)
write_matchings_to(path_to_results + 'neg_l52_01', neg_l52_matchings_01)
l52_matchings_08 = None
neg_l52_matchings_01 = None
l52_matchings_09, neg_l52_matchings_06 = matcherlib.find_relation_class_attr_name_sem_matchings(network, om.kr_handlers,
semantic_sim_threshold=0.9,
negative_signal_threshold=0.6,
add_exact_matches=False,
penalize_unknown_word=True)
write_matchings_to(path_to_results + 'l52_09', l52_matchings_09)
write_matchings_to(path_to_results + 'neg_l52_06', neg_l52_matchings_06)
l52_matchings_09 = None
neg_l52_matchings_06 = None
l52_matchings_03, neg_l52_matchings_07 = matcherlib.find_relation_class_attr_name_sem_matchings(network, om.kr_handlers,
semantic_sim_threshold=0.3,
negative_signal_threshold=0.7,
add_exact_matches=False,
penalize_unknown_word=True)
write_matchings_to(path_to_results + 'l52_03', l52_matchings_03)
write_matchings_to(path_to_results + 'neg_l52_07', neg_l52_matchings_07)
l52_matchings_03 = None
neg_l52_matchings_07 = None
l6_matchings_02_1, table_groups = matcherlib.find_sem_coh_matchings(network, om.kr_handlers,
sem_sim_threshold=0.2,
group_size_cutoff=1)
write_matchings_to(path_to_results + 'l6_02_1', l6_matchings_02_1)
l6_matchings_02_2, table_groups = matcherlib.find_sem_coh_matchings(network, om.kr_handlers,
sem_sim_threshold=0.2,
group_size_cutoff=2)
write_matchings_to(path_to_results + 'l6_02_2', l6_matchings_02_2)
l6_matchings_02_3, table_groups = matcherlib.find_sem_coh_matchings(network, om.kr_handlers,
sem_sim_threshold=0.2,
group_size_cutoff=3)
write_matchings_to(path_to_results + 'l6_02_3', l6_matchings_02_3)
l6_matchings_06_1, table_groups = matcherlib.find_sem_coh_matchings(network, om.kr_handlers,
sem_sim_threshold=0.6,
group_size_cutoff=1)
write_matchings_to(path_to_results + 'l6_06_1', l6_matchings_06_1)
l6_matchings_06_2, table_groups = matcherlib.find_sem_coh_matchings(network, om.kr_handlers,
sem_sim_threshold=0.6,
group_size_cutoff=2)
write_matchings_to(path_to_results + 'l6_06_2', l6_matchings_06_2)
l6_matchings_06_3, table_groups = matcherlib.find_sem_coh_matchings(network, om.kr_handlers,
sem_sim_threshold=0.6,
group_size_cutoff=3)
write_matchings_to(path_to_results + 'l6_06_3', l6_matchings_06_3)
l6_matchings_07_1, table_groups = matcherlib.find_sem_coh_matchings(network, om.kr_handlers,
sem_sim_threshold=0.7,
group_size_cutoff=1)
write_matchings_to(path_to_results + 'l6_07_1', l6_matchings_07_1)
l6_matchings_07_2, table_groups = matcherlib.find_sem_coh_matchings(network, om.kr_handlers,
sem_sim_threshold=0.7,
group_size_cutoff=2)
write_matchings_to(path_to_results + 'l6_07_2', l6_matchings_07_2)
l6_matchings_07_3, table_groups = matcherlib.find_sem_coh_matchings(network, om.kr_handlers,
sem_sim_threshold=0.7,
group_size_cutoff=3)
write_matchings_to(path_to_results + 'l6_07_3', l6_matchings_07_3)
def read(path):
matchings = []
with open(path, 'r') as f:
#lines = f.readlines()
for l in f:
tokens = l.split("==>>")
sch = tokens[0]
cla = tokens[1]
sch_tokens = sch.split("%%%")
sch_tokens = [t.strip() for t in sch_tokens]
cla_tokens = cla.split("%%%")
cla_tokens = [t.strip() for t in cla_tokens]
matching_format = ((sch_tokens[0], sch_tokens[1], sch_tokens[2]), (cla_tokens[0], cla_tokens[1]))
matchings.append(matching_format)
return matchings
def local_test(path_to_raw_data, path_to_ground_truth_file):
# Getting ground truth
with open(path_to_ground_truth_file, 'r') as gt:
ground_truth_matchings_strings = gt.readlines()
def parse_strings(list_of_strings):
# format is: db %%% table %%% attr ==>> onto %%% class_name %%% list_of_matchers
matchings = []
for l in list_of_strings:
tokens = l.split("==>>")
sch = tokens[0]
cla = tokens[1]
sch_tokens = sch.split("%%%")
sch_tokens = [t.strip() for t in sch_tokens]
cla_tokens = cla.split("%%%")
cla_tokens = [t.strip() for t in cla_tokens]
matching_format = (((sch_tokens[0], sch_tokens[1], sch_tokens[2]), (cla_tokens[0], cla_tokens[1])))
matchings.append(matching_format)
return matchings
ground_truth_matchings = parse_strings(ground_truth_matchings_strings)
# Deserialize model
network = fieldnetwork.deserialize_network("../models/chembl22/")
# Create client
store_client = StoreHandler()
# Retrieve indexes
schema_sim_index = io.deserialize_object("../models/chembl22/" + 'schema_sim_index.pkl')
content_sim_index = io.deserialize_object("../models/chembl22/" + 'content_sim_index.pkl')
# Create ontomatch api
om = SSAPI(network, store_client, schema_sim_index, content_sim_index)
om.add_krs([("efo", "cache_onto/efo.pkl")], parsed=True)
def list_from_dict(combined):
l = []
for k, v in combined.items():
matchings = v.get_matchings()
for el in matchings:
l.append(el)
return l
def syn_and_we(l4, l5, l42, l52, name):
all_matchings = defaultdict(list)
all_matchings[MatchingType.L4_CLASSNAME_RELATIONNAME_SYN] = l4
all_matchings[MatchingType.L5_CLASSNAME_ATTRNAME_SYN] = l5
all_matchings[MatchingType.L42_CLASSNAME_RELATIONNAME_SEM] = l42
all_matchings[MatchingType.L52_CLASSNAME_ATTRNAME_SEM] = l52
combined = matcherlib.combine_matchings(all_matchings)
combined_list = list_from_dict(combined)
print(str(len(combined_list)))
precision, recall = compute_pr_matchings(ground_truth_matchings, combined_list)
combined_sum = matcherlib.summarize_matchings_to_ancestor(om.kr_handlers["efo"], combined_list)
precision_sum, recall_sum = compute_pr_matchings(ground_truth_matchings, combined_sum)
print(name + ", " + str(precision) + ", " + str(recall))
print(name + "_sum, " + str(precision_sum) + ", " + str(recall_sum))
return combined_list, combined_sum
def test1(name, l4=[], l5=[], nl42=[], nl52=[], l42=[], l52=[], l1=[], l7=[], l6=[]):
# 1-. l4 - l42
l4_dict = dict()
l4_cancelled = []
for matching in l4:
l4_dict[matching] = 1
total_cancelled = 0
for m in nl42:
if m in l4_dict:
total_cancelled += 1
l4_cancelled.append(m)
l4.remove(m)
print("total l4 cancelled: " + str(total_cancelled))
print("#######")
print("cancelled matching in gts: ")
gt_set = set(ground_truth_matchings)
for m in l4_cancelled:
if m in gt_set:
continue
print(m)
print("#######")
# 2-. l5 - l52
l5_dict = dict()
l5_cancelled = []
for matching in l5:
l5_dict[matching] = 1
total_cancelled = 0
for m in nl52:
if m in l5_dict:
total_cancelled += 1
l5_cancelled.append(m)
l5.remove(m)
print("total l5 cancelled: " + str(total_cancelled))
print("#######")
print("cancelled matching in gts: ")
gt_set = set(ground_truth_matchings)
for m in l5_cancelled:
if m in gt_set:
continue
print(m)
print("#######")
# print("l42 orig: " + str(len(l42)))
# print("l52 orig: " + str(len(l52)))
# l6_set = set(l6)
# l42_set = set(l42)
# l52_set = set(l52)
# for m in l42:
# if m not in l6:
# l42_set.remove(m)
# for m in l52:
# if m not in l6:
# l52_set.remove(m)
# l42 = list(l42_set)
# l52 = list(l52_set)
#
# print("l42 orig: " + str(len(l42)))
# print("l52 orig: " + str(len(l52)))
# 3- structural summary l42 and l52
if len(l42) > 0:
l42 = matcherlib.summarize_matchings_to_ancestor(om, l42, summarize_or_remove=True)
if len(l52) > 0:
l52 = matcherlib.summarize_matchings_to_ancestor(om, l52, summarize_or_remove=True)
print("SUM L42")
for m in l42:
continue
print(str(m))
print("SUM L52")
for m in l52:
continue
print(str(m))
#l4 = matcherlib.summarize_matchings_to_ancestor(om.kr_handlers["efo"], l4, summarize_or_remove=True)
#l5 = matcherlib.summarize_matchings_to_ancestor(om.kr_handlers["efo"], l5, summarize_or_remove=True)
# 4-. combine l1, l7, l4, l5
all_matchings = defaultdict(list)
all_matchings[MatchingType.L1_CLASSNAME_ATTRVALUE] = l1
all_matchings[MatchingType.L7_CLASSNAME_ATTRNAME_FUZZY] = l7
all_matchings[MatchingType.L4_CLASSNAME_RELATIONNAME_SYN] = l4
all_matchings[MatchingType.L5_CLASSNAME_ATTRNAME_SYN] = l5
all_matchings[MatchingType.L42_CLASSNAME_RELATIONNAME_SEM] = l42
all_matchings[MatchingType.L52_CLASSNAME_ATTRNAME_SEM] = l52
combined = matcherlib.combine_matchings(all_matchings)
combined_list = list_from_dict(combined)
# 5-. summarize l1, l7, l4, l5
print(str(len(combined_list)))
precision, recall = compute_pr_matchings(ground_truth_matchings, combined_list)
combined_sum = matcherlib.summarize_matchings_to_ancestor(om, combined_list, summarize_or_remove=True)
precision_sum, recall_sum = compute_pr_matchings(ground_truth_matchings, combined_sum)
print(name + ", " + str(precision) + ", " + str(recall))
print(name + "_sum, " + str(precision_sum) + ", " + str(recall_sum))
return combined_list, combined_sum
# def all_matchings_from_combined_list(combined_matchings):
# l4 = []
# l5 = []
# l1 = []
# l7 = []
# for m, type in combined_matchings:
# if MatchingType.L1_CLASSNAME_ATTRVALUE in type:
# l1.append(m)
# if MatchingType.L7_CLASSNAME_ATTRNAME_FUZZY in type:
# l7.append(m)
# if MatchingType.L4_CLASSNAME_RELATIONNAME_SYN in type:
# l4.append(m)
# if MatchingType.L5_CLASSNAME_ATTRNAME_SYN in type:
# l5.append(m)
#
# return l1, l7, l4, l5
#
# # 6-. add curated l42 and l52
# l1, l7, l4, l5 = all_matchings_from_combined_list(combined_sum)
#
# all_matchings = defaultdict(list)
# all_matchings[MatchingType.L1_CLASSNAME_ATTRVALUE] = l1
# all_matchings[MatchingType.L7_CLASSNAME_ATTRNAME_FUZZY] = l7
# all_matchings[MatchingType.L4_CLASSNAME_RELATIONNAME_SYN] = l4
# all_matchings[MatchingType.L5_CLASSNAME_ATTRNAME_SYN] = l5
# all_matchings[MatchingType.L42_CLASSNAME_RELATIONNAME_SEM] = l42
# all_matchings[MatchingType.L52_CLASSNAME_ATTRNAME_SEM] = l52
#
# combined = matcherlib.combine_matchings(all_matchings)
# combined_list = list_from_dict(combined)
#
# print(str(len(combined_list)))
# precision, recall = compute_pr_matchings(ground_truth_matchings, combined_list)
#
# combined_sum = matcherlib.summarize_matchings_to_ancestor(om.kr_handlers["efo"], combined_list, summarize_or_remove=False)
# precision_sum, recall_sum = compute_pr_matchings(ground_truth_matchings, combined_sum)
# print(name + ", " + str(precision) + ", " + str(recall))
# print(name + "_sum, " + str(precision_sum) + ", " + str(recall_sum))
# return combined_list, combined_sum
l1 = read(path_to_raw_data + "l1")
l7 = read(path_to_raw_data + "l7")
l4 = read(path_to_raw_data + "l4_02") #l4_02 0.015/0.46 - 0.33/0.38 (summary=2)
l5 = read(path_to_raw_data + "l5_02") #l5_02
l42 = read(path_to_raw_data + "l42_07") #l42_05
l52 = read(path_to_raw_data + "l52_06") #l52_05
nl42 = read(path_to_raw_data + "neg_l42_05") #neg_l42_05
nl52 = read(path_to_raw_data + "neg_l52_05") #neg_l42_05
l6 = read(path_to_raw_data + "l6_05_2") #neg_l42_05
#combined_list, combined_sum = syn_and_we(l4, l5, l42, l52, "syn_and_we_02_03")
# combined_list, combined_sum = test1("test1", l4, l5, nl42=nl42, nl52=nl52, l42=l42, l52=l52, l1=l1, l7=l7)
# combined_list, combined_sum = test1("test1", l4=l4, l5=l5, nl42=[], nl52=[], l42=[], l52=[], l1=[], l7=[])
# combined_list, combined_sum = test1("test1", l4=l4, l5=l5, nl42=nl42, nl52=nl52, l42=[], l52=[], l1=[], l7=[])
# combined_list, combined_sum = test1("test1", l4=l4, l5=l5, nl42=nl42, nl52=nl52, l42=l42, l52=l52, l1=[], l7=[])
combined_list, combined_sum = test1("test1", l4=l4, l5=l5, nl42=nl42, nl52=nl52,
l42=l42, l52=l52, l1=l1, l7=l7, l6=l6)
print("num combined_list: " + str(len(combined_list)))
for m in combined_list:
continue
print(str(m))
print("SUMMARY")
print("num combined_sum: " + str(len(combined_sum)))
for m in combined_sum:
continue
print(str(m))
print("the matchings that we could not find - list")
print("#############")
gt_set = set(ground_truth_matchings)
missed_list = []
for m in gt_set:
if m not in combined_list:
continue
print(m)
missed_list.append(m)
print("#############")
print("the matchings that we could not find - sum")
print("#############")
missed_sum = []
gt_set = set(ground_truth_matchings)
for m in gt_set:
if m not in combined_sum:
continue
print(m)
missed_sum.append(m)
print("#############")
print("so the matchings removed by summary are: ")
for m in missed_sum:
if m not in missed_list:
continue
print(m)
return combined_list, combined_sum, om
def combine_and_report_results(path_to_raw_data, path_to_ground_truth_file):
# Getting ground truth
with open(path_to_ground_truth_file, 'r') as gt:
ground_truth_matchings_strings = gt.readlines()
def parse_strings(list_of_strings):
# format is: db %%% table %%% attr ==>> onto %%% class_name %%% list_of_matchers
matchings = []
for l in list_of_strings:
tokens = l.split("==>>")
sch = tokens[0]
cla = tokens[1]
sch_tokens = sch.split("%%%")
sch_tokens = [t.strip() for t in sch_tokens]
cla_tokens = cla.split("%%%")
cla_tokens = [t.strip() for t in cla_tokens]
matching_format = (((sch_tokens[0], sch_tokens[1], sch_tokens[2]), (cla_tokens[0], cla_tokens[1])))
matchings.append(matching_format)
return matchings
ground_truth_matchings = parse_strings(ground_truth_matchings_strings)
# Deserialize model
network = fieldnetwork.deserialize_network("../models/chembl22/")
# Create client
store_client = StoreHandler()
# Retrieve indexes
schema_sim_index = io.deserialize_object("../models/chembl22/" + 'schema_sim_index.pkl')
content_sim_index = io.deserialize_object("../models/chembl22/" + 'content_sim_index.pkl')
# Create ontomatch api
om = SSAPI(network, store_client, schema_sim_index, content_sim_index)
om.add_krs([("efo", "cache_onto/efo.pkl")], parsed=True)
def list_from_dict(combined):
l = []
for k, v in combined.items():
matchings = v.get_matchings()
for el in matchings:
l.append(el)
return l
def syn_only(l4, l5, name):
# l4 and l5 01
all_matchings = defaultdict(list)
all_matchings[MatchingType.L4_CLASSNAME_RELATIONNAME_SYN] = l4
all_matchings[MatchingType.L5_CLASSNAME_ATTRNAME_SYN] = l5
combined = matcherlib.combine_matchings(all_matchings)
combined_list = list_from_dict(combined)
print(str(len(combined_list)))
precision, recall = compute_pr_matchings(ground_truth_matchings, combined_list)
combined_sum = matcherlib.summarize_matchings_to_ancestor(om.kr_handlers["efo"], combined_list)
precision_sum, recall_sum = compute_pr_matchings(ground_truth_matchings, combined_sum)
print(name + ", " + str(precision) + ", " + str(recall))
print(name + "_sum, " + str(precision_sum) + ", " + str(recall_sum))
def syn_and_we(l4, l5, l42, l52, name):
all_matchings = defaultdict(list)
all_matchings[MatchingType.L4_CLASSNAME_RELATIONNAME_SYN] = l4
all_matchings[MatchingType.L5_CLASSNAME_ATTRNAME_SYN] = l5
all_matchings[MatchingType.L42_CLASSNAME_RELATIONNAME_SEM] = l42
all_matchings[MatchingType.L52_CLASSNAME_ATTRNAME_SEM] = l52
combined = matcherlib.combine_matchings(all_matchings)
combined_list = list_from_dict(combined)
print(str(len(combined_list)))
precision, recall = compute_pr_matchings(ground_truth_matchings, combined_list)
combined_sum = matcherlib.summarize_matchings_to_ancestor(om.kr_handlers["efo"], combined_list)
precision_sum, recall_sum = compute_pr_matchings(ground_truth_matchings, combined_sum)
print(name + ", " + str(precision) + ", " + str(recall))
print(name + "_sum, " + str(precision_sum) + ", " + str(recall_sum))
def syn_we_c4(l4, l5, l42, l52, nl42, name):
l4_dict = dict()
for matching in l4:
l4_dict[matching] = 1
total_cancelled = 0
for m in nl42:
if m in l4_dict:
total_cancelled += 1
l4.remove(m)
all_matchings = defaultdict(list)
all_matchings[MatchingType.L4_CLASSNAME_RELATIONNAME_SYN] = l4
all_matchings[MatchingType.L5_CLASSNAME_ATTRNAME_SYN] = l5
all_matchings[MatchingType.L42_CLASSNAME_RELATIONNAME_SEM] = l42
all_matchings[MatchingType.L52_CLASSNAME_ATTRNAME_SEM] = l52
combined = matcherlib.combine_matchings(all_matchings)
combined_list = list_from_dict(combined)
print(str(len(combined_list)))
precision, recall = compute_pr_matchings(ground_truth_matchings, combined_list)
combined_sum = matcherlib.summarize_matchings_to_ancestor(om.kr_handlers["efo"], combined_list)
precision_sum, recall_sum = compute_pr_matchings(ground_truth_matchings, combined_sum)
print(name + ", " + str(precision) + ", " + str(recall))
print(name + "_sum, " + str(precision_sum) + ", " + str(recall_sum))
def syn_we_c4_c5(l4, l5, l42, l52, nl42, nl52, name):
l4_dict = dict()
for matching in l4:
l4_dict[matching] = 1
total_cancelled = 0
for m in nl42:
if m in l4_dict:
total_cancelled += 1
l4.remove(m)
l5_dict = dict()
for matching in l5:
l5_dict[matching] = 1
total_cancelled = 0
for m in nl52:
if m in l5_dict:
total_cancelled += 1
l5.remove(m)
all_matchings = defaultdict(list)
all_matchings[MatchingType.L4_CLASSNAME_RELATIONNAME_SYN] = l4
all_matchings[MatchingType.L5_CLASSNAME_ATTRNAME_SYN] = l5
all_matchings[MatchingType.L42_CLASSNAME_RELATIONNAME_SEM] = l42
all_matchings[MatchingType.L52_CLASSNAME_ATTRNAME_SEM] = l52
combined = matcherlib.combine_matchings(all_matchings)
combined_list = list_from_dict(combined)
print(str(len(combined_list)))
precision, recall = compute_pr_matchings(ground_truth_matchings, combined_list)
combined_sum = matcherlib.summarize_matchings_to_ancestor(om.kr_handlers["efo"], combined_list)
precision_sum, recall_sum = compute_pr_matchings(ground_truth_matchings, combined_sum)
print(name + ", " + str(precision) + ", " + str(recall))
print(name + "_sum, " + str(precision_sum) + ", " + str(recall_sum))
def syn_we_c4_c5_c6(l4, l5, l6, l42, l52, nl42, nl52, name, cuttingRatio, summaryT):
print("Started computation ... ")
l4_dict = dict()
for matching in l4:
l4_dict[matching] = 1
total_cancelled = 0
for m in nl42:
if m in l4_dict:
total_cancelled += 1
l4.remove(m)
l4_dict = None
l5_dict = dict()
for matching in l5:
l5_dict[matching] = 1
total_cancelled = 0
for m in nl52:
if m in l5_dict:
total_cancelled += 1
l5.remove(m)
l5_dict = None
l6_dict = dict()
for matching in l6:
l6_dict[matching] = 1
# curate l42 with l6
removed_l42 = 0
for m in l42:
if m not in l6_dict:
removed_l42 += 1
l42.remove(m)
print("rem-l42: " + str(removed_l42))
# curate l52 with l6
# (('chemical', 'activity_stds_lookup', 'std_act_id'), ('efo', 'Metabolomic Profiling'))
# (('chemical', 'activity_stds_lookup', '_'), ('efo', 'Experimental Factor'))
removed_l52 = 0
for m in l52:
db, relation, attr = m[0]
el = ((db, relation, '_'), m[1])
if el not in l6_dict:
# db_to_remove, rel_to_remove, _ = m[0]
# for el in l52:
# sch, cla = el
# db, relation, attr = sch
# if db == db_to_remove and relation == rel_to_remove:
# if el in l52:
removed_l52 += 1
l52.remove(m)
print("rem-l52: " + str(removed_l52))
all_matchings = defaultdict(list)
all_matchings[MatchingType.L4_CLASSNAME_RELATIONNAME_SYN] = l4
all_matchings[MatchingType.L5_CLASSNAME_ATTRNAME_SYN] = l5
all_matchings[MatchingType.L42_CLASSNAME_RELATIONNAME_SEM] = l42
all_matchings[MatchingType.L52_CLASSNAME_ATTRNAME_SEM] = l52
combined = matcherlib.combine_matchings(all_matchings)
combined_list = list_from_dict(combined)
print("Compute precision/recall: {}".format(str(len(combined_list))))
precision, recall = compute_pr_matchings(ground_truth_matchings, combined_list)
print("StructS ... ")
combined_sum = matcherlib.summarize_matchings_to_ancestor(om, combined_list,
threshold_to_summarize=summaryT,
summary_ratio=cuttingRatio)
precision_sum, recall_sum = compute_pr_matchings(ground_truth_matchings, combined_sum)
print(name + ", " + str(precision) + ", " + str(recall))
print(name + "_sum, " + str(precision_sum) + ", " + str(recall_sum))
return precision, recall, precision_sum, recall_sum
print("Syn only")
# l4 and l5 01
# syn and we
# # syn and we c4
#
# # syn and we c4 and c5
#
neg = 1
six = 2
pos = 5
neg_l42 = read(path_to_raw_data + "neg_l42_0{}".format(neg))
neg_l52 = read(path_to_raw_data + "neg_l52_0{}".format(neg))
# for six in tqdm(range(2, 8, 2)):
l6 = read(path_to_raw_data + "l6_0{}_1".format(six))
# for pos in tqdm(range(3, 10)):
l42 = read(path_to_raw_data + "l42_0{}".format(pos))
l52 = read(path_to_raw_data + "l52_0{}".format(pos))
results = dict()
# for neg in tqdm(range(1, 3)):
for st in tqdm(np.arange(1, 5.5, 0.5)):
print("\t{}".format(st))
for cr in tqdm(np.arange(0.5, 0.99, 0.1)):
print("\t\t{}".format(cr))
i = 1
# for i in tqdm(range(2, 10, 2)):
l4 = read(path_to_raw_data + "l4_0{}".format(i))
l5 = read(path_to_raw_data + "l5_0{}".format(i))
name = "st_{}_cr_{}".format(st, cr)
p, r, ps, rs = syn_we_c4_c5_c6(l4, l5, l6, l42, l52, neg_l42, neg_l52, name, cr, st)
results[name] = (p, r, ps, rs)
# f = open('results.txt', 'rw')
# for r in results.keys():
# f.write("{}:{}\n".format(r, str(results[r])))
# f.close()
# last we add l1 and l7 to whatever is the best configuration
if __name__ == "__main__":
# Load glove model
print("Loading language model...")
path_to_glove_model = "../glove/glove.6B.100d.txt"
glove_api.load_model(path_to_glove_model)
print("Loading language model...OK")
print("Benchmarking matchers and linkers")
# relative_merit_one_onto("../models/chembl22/",
# "efo",
# "cache_onto/efo.pkl",
# "../glove/glove.6B.100d.txt",
# "results/")
generate_results_battery_parameters("../models/chembl22/", "efo", "cache_onto/efo.pkl",
"../glove/glove.6B.100d.txt", "raw/")
#
# generate_results_battery_parameters2("../models/chembl22/", "efo", "cache_onto/efo.pkl",
# "../glove/glove.6B.100d.txt", "raw/")
# best_config("../models/chembl22/", "efo", "cache_onto/efo.pkl", "../glove/glove.6B.100d.txt", "results/")
#precision, recall = compute_pr("MATCHINGS_GROUND_TRUTH_CHEMBL", "results/" + "best_config")
#print("Precision: " + str(precision))
#print("Recall : " + str(recall))
#check_quality_results("MATCHINGS_GROUND_TRUTH_CHEMBL", "results/")
# combine_and_report_results("raw/", "MATCHINGS_GROUND_TRUTH_CHEMBL")
# cl, cs, om = local_test("raw/", "MATCHINGS_GROUND_TRUTH_CHEMBL")
# exit()
# cs = [(el, "none") for el in cs]
#
# links = om.find_links(cs)
#
# fanout = defaultdict(int)
# for sch, prop, cla in links:
# fanout[sch] += 1
#
# for k, v, in fanout.items():
# print(str(k) + " fanout: " + str(v))
#
# print("LINKS TOTAL: " + str(len(links)))
# for l in links:
# print(str(l))
| 51.469923 | 132 | 0.579329 | 11,266 | 100,109 | 4.730162 | 0.029203 | 0.047288 | 0.063051 | 0.027097 | 0.876337 | 0.842053 | 0.831357 | 0.814543 | 0.80623 | 0.781122 | 0 | 0.054508 | 0.341548 | 100,109 | 1,944 | 133 | 51.496399 | 0.753933 | 0.071732 | 0 | 0.675546 | 0 | 0 | 0.046786 | 0.004257 | 0 | 0 | 0 | 0 | 0 | 1 | 0.020492 | false | 0 | 0.007514 | 0.000683 | 0.040301 | 0.105874 | 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 |
587b74b7110b41c12f8fa91d76b367d54adf1996 | 133 | py | Python | recipes/Python/577015_Parse_HTTP_datetime_string/recipe-577015.py | tdiprima/code | 61a74f5f93da087d27c70b2efe779ac6bd2a3b4f | [
"MIT"
] | 2,023 | 2017-07-29T09:34:46.000Z | 2022-03-24T08:00:45.000Z | recipes/Python/577015_Parse_HTTP_datetime_string/recipe-577015.py | unhacker/code | 73b09edc1b9850c557a79296655f140ce5e853db | [
"MIT"
] | 32 | 2017-09-02T17:20:08.000Z | 2022-02-11T17:49:37.000Z | recipes/Python/577015_Parse_HTTP_datetime_string/recipe-577015.py | unhacker/code | 73b09edc1b9850c557a79296655f140ce5e853db | [
"MIT"
] | 780 | 2017-07-28T19:23:28.000Z | 2022-03-25T20:39:41.000Z | from datetime import datetime
from email.utils import parsedate
def _parse_http_datetime(s):
return datetime(*parsedate(s)[:6])
| 22.166667 | 38 | 0.781955 | 19 | 133 | 5.315789 | 0.631579 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008621 | 0.12782 | 133 | 5 | 39 | 26.6 | 0.862069 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.5 | 0.25 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 6 |
547b4e0095c055199d1d073b2236ae4e89a0d51a | 123 | py | Python | pkg/codegen/internal/test/testdata/aws-secret-pp/python/aws-secret.py | pcen/pulumi | 1bb85ca98c90f2161fe915df083d47c56c135e4d | [
"Apache-2.0"
] | 12,004 | 2018-06-17T23:56:29.000Z | 2022-03-31T18:00:09.000Z | pkg/codegen/internal/test/testdata/aws-secret-pp/python/aws-secret.py | pcen/pulumi | 1bb85ca98c90f2161fe915df083d47c56c135e4d | [
"Apache-2.0"
] | 6,263 | 2018-06-17T23:27:24.000Z | 2022-03-31T19:20:35.000Z | pkg/codegen/internal/test/testdata/aws-secret-pp/python/aws-secret.py | pcen/pulumi | 1bb85ca98c90f2161fe915df083d47c56c135e4d | [
"Apache-2.0"
] | 706 | 2018-06-17T23:56:50.000Z | 2022-03-31T11:20:23.000Z | import pulumi
import pulumi_aws as aws
db_cluster = aws.rds.Cluster("dbCluster", master_password=pulumi.secret("foobar"))
| 24.6 | 82 | 0.796748 | 18 | 123 | 5.277778 | 0.666667 | 0.252632 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.089431 | 123 | 4 | 83 | 30.75 | 0.848214 | 0 | 0 | 0 | 0 | 0 | 0.121951 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.333333 | 0.666667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 6 |
49a557eec2107af5a964abbe693a4281cecb9dd1 | 18,484 | py | Python | starthinker/util/dcm/schema/Standard_Report_Metrics.py | viohman/starthinker | 20bd2d7fd1e541eb8a2c9b7159941f667e22e38e | [
"Apache-2.0"
] | 1 | 2019-07-02T18:25:25.000Z | 2019-07-02T18:25:25.000Z | starthinker/util/dcm/schema/Standard_Report_Metrics.py | viohman/starthinker | 20bd2d7fd1e541eb8a2c9b7159941f667e22e38e | [
"Apache-2.0"
] | 204 | 2019-08-29T04:58:17.000Z | 2021-07-30T04:27:07.000Z | starthinker/util/dcm/schema/Standard_Report_Metrics.py | viohman/starthinker | 20bd2d7fd1e541eb8a2c9b7159941f667e22e38e | [
"Apache-2.0"
] | null | null | null | ###########################################################################
#
# Copyright 2017 Google Inc.
#
# 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
#
# https://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.
#
###########################################################################
Standard_Report_Metrics_Schema = [
{ "name":"Active_View_Average_Viewable_Time_Seconds", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Active_View_Eligible_Impressions", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Active_View_Audible_Amp_Fully_On_Screen_For_Half_Of_Duration_15_Sec_Cap_Measurable_Impressions", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Active_View_Audible_Amp_Fully_On_Screen_For_Half_Of_Duration_Trueview_Measurable_Impressions", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Active_View_Audible_Amp_Fully_On_Screen_For_Half_Of_Duration_Trueview_Impressions", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Active_View_Audible_Amp_Fully_On_Screen_For_Half_Of_Duration_15_Sec_Cap_Impressions", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Active_View_Impression_Distribution_Not_Measurable", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Active_View_Impression_Distribution_Not_Viewable", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Active_View_Impression_Distribution_Viewable", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Active_View_Impressions_Audible_And_Visible_At_Completion", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Active_View_Impressions_Visible_10_Seconds", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Active_View_Measurable_Impressions", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Active_View_Not_Measurable_Impressions", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Active_View_Not_Viewable_Impressions", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Active_View_Percent_Audible_And_Visible_At_Completion", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Active_View_Percent_Audible_And_Visible_At_First_Quartile", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Active_View_Percent_Audible_And_Visible_At_Midpoint", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Active_View_Percent_Audible_And_Visible_At_Start", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Active_View_Percent_Audible_And_Visible_At_Third_Quartile", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Active_View_Percent_Audible_Impressions", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Active_View_Percent_In_Background", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Active_View_Percent_Full_Screen", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Active_View_Audible_Amp_Fully_On_Screen_For_Half_Of_Duration_15_Sec_Cap_Rate", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Active_View_Audible_Amp_Fully_On_Screen_For_Half_Of_Duration_Trueview_Rate", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Active_View_Percent_Of_Completed_Impressions_Audible_And_Visible", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Active_View_Percent_Of_First_Quartile_Impressions_Audible_And_Visible", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Active_View_Percent_Of_Midpoint_Impressions_Audible_And_Visible", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Active_View_Percent_Of_Third_Quartile_Impressions_Audible_And_Visible", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Active_View_Percent_Of_Completed_Impressions_Visible", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Active_View_Percent_Of_First_Quartile_Impressions_Visible", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Active_View_Percent_Of_Midpoint_Impressions_Visible", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Active_View_Percent_Of_Third_Quartile_Impressions_Visible", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Active_View_Percent_Play_Time_Audible", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Active_View_Percent_Play_Time_Audible_And_Visible", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Active_View_Percent_Play_Time_Visible", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Active_View_Percent_Visible_10_Seconds", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Active_View_Percent_Visible_At_Completion", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Active_View_Percent_Visible_At_First_Quartile", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Active_View_Percent_Visible_At_Midpoint", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Active_View_Percent_Visible_At_Start", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Active_View_Percent_Visible_At_Third_Quartile", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Active_View_Percent_Measurable_Impressions", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Active_View_Percent_Viewable_Impressions", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Active_View_Viewable_Impressions", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Click_Through_Conversions", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Click_Through_Revenue", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Activity_Delivery_Status", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Activity_Per_Click", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Activity_Per_Thousand_Impressions", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"View_Through_Conversions", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"View_Through_Revenue", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Audio_Companion_Clicks", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Audio_Companion_Impressions", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Booked_Activities", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Booked_Clicks", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Booked_Impressions", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Booked_Viewable_Impressions", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Click_Delivery_Status", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Click_Rate", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Clicks", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Cost_Per_Activity", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Cost_Per_Click", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Cost_Per_Revenue", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Click_Through_Conversions_Cross_Environment", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Click_Through_Revenue_Cross_Environment", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Click_Through_Conversion_Events_Cross_Environment", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Total_Conversions_Cross_Environment", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Total_Revenue_Cross_Environment", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Total_Conversion_Events_Cross_Environment", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"View_Through_Conversions_Cross_Environment", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"View_Through_Revenue_Cross_Environment", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"View_Through_Conversion_Events_Cross_Environment", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Dbm_Cost_Account_Currency", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Dbm_Cost_Usd", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Downloaded_Impressions", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Dynamic_Element_Click_Rate", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Dynamic_Element_Click_Through_Conversions", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Dynamic_Element_Clicks", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Dynamic_Element_Impressions", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Dynamic_Element_Total_Conversions", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Dynamic_Element_View_Through_Conversions", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Effective_Cpm", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"General_Invalid_Traffic_Givt_Clicks", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"General_Invalid_Traffic_Givt_Impressions", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Impression_Delivery_Status", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Impressions", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Invalid_Clicks", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Invalid_Impressions", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Media_Cost", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Natural_Search_Actions", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Natural_Search_Clicks", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Natural_Search_Revenue", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Natural_Search_Transactions", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Floodlight_Paid_Search_Action_Conversion_Percentage", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Paid_Search_Actions", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Floodlight_Paid_Search_Average_Cost_Per_Action", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Floodlight_Paid_Search_Average_Cost_Per_Transaction", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Floodlight_Paid_Search_Average_Dcm_Transaction_Amount", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Paid_Search_Average_Position", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Paid_Search_Click_Rate", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Paid_Search_Clicks", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Paid_Search_Cost", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Paid_Search_Impressions", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Paid_Search_Revenue", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Floodlight_Paid_Search_Spend_Per_Transaction_Revenue", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Floodlight_Paid_Search_Transaction_Conversion_Percentage", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Floodlight_Paid_Search_Transaction_Revenue_Per_Spend", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Paid_Search_Transactions", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Paid_Search_Visits", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Percent_Invalid_Clicks", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Percent_Invalid_Impressions", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Planned_Media_Cost", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Revenue_Per_Click", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Revenue_Per_Thousand_Impressions", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Audio_Completions", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Audio_First_Quartile_Completions", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Audio_Midpoints", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Audio_Mutes", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Audio_Pauses", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Audio_Plays", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Audio_Replays", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Audio_Third_Quartile_Completions", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Audio_Unmutes", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Average_Display_Time", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Average_Expansion_Time", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Full_Screen_Average_View_Time", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Average_Interaction_Time", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Video_Average_View_Time", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Backup_Image", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Rich_Media_Click_Rate", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Rich_Media_Clicks", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Code_Serves", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Average_Time", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Counters", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Exits", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Timers", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Custom_Variable_Count_1", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Custom_Variable_Count_2", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Total_Display_Time", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Event_Counters", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Event_Timers", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Expansion_Time", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Expansions", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Full_Screen_Impressions", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Full_Screen_Video_Completions", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Full_Screen_Video_Plays", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Html5_Impressions", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Rich_Media_Impressions", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Interaction_Rate", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Total_Interaction_Time", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Total_Interactions", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Interactive_Impressions", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Manual_Closes", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Trueview_Views", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Video_Companion_Clicks", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Video_Completions", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Video_First_Quartile_Completions", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Video_Full_Screen", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Video_Interaction_Rate", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Video_Interactions", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Video_Midpoints", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Video_Mutes", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Video_Pauses", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Video_Plays", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Video_Progress_Events", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Video_Replays", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Video_Skips", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Video_Stops", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Video_Third_Quartile_Completions", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Video_Unmutes", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Video_View_Rate", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Video_Views", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Roadblock_Impressions", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Email_Shares", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Social_Engagement_Rate", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Follows", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Twitter_Leads_Generated", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Likes", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Twitter_Offers_Accepted", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Replies", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Total_Social_Engagements", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Total_Conversions", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Total_Revenue", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Twitter_App_Install_Clicks", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Twitter_Buy_Now_Clicks", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Twitter_Buy_Now_Purchases", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Other_Twitter_Engagements", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Retweets", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Twitter_Url_Clicks", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Twitter_Video_50Percent_In_View_For_2_Seconds", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Twitter_Video_100Percent_In_View_For_3_Seconds", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Blocked_Impressions", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Classified_Impressions", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Measurable_Impressions_For_Audio", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Measurable_Impressions_For_Video_Player_Location", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Measurable_Impressions_For_Video_Player_Size", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Percentage_Of_Measurable_Impressions_For_Audio", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Percentage_Of_Measurable_Impressions_For_Video_Player_Location", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Percentage_Of_Measurable_Impressions_For_Video_Player_Size", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Publisher_Problems", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Reporting_Problems", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Serving_Problems", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Verifiable_Impressions", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Video_Muted_At_Start", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Hd_Video_Player_Size_Impressions", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Large_Video_Player_Size_Impressions", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Video_Player_Location_Avg_Pixels_From_Left", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Video_Player_Location_Avg_Pixels_From_Top", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Video_Player_Size_Avg_Height", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Video_Player_Size_Avg_Width", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Small_Video_Player_Size_Impressions", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Video_Prominence_Score", "type":"FLOAT", "mode":"NULLABLE" },
{ "name":"Warnings", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Companion_Clicks", "type":"INTEGER", "mode":"NULLABLE" },
{ "name":"Companion_Impressions", "type":"INTEGER", "mode":"NULLABLE" }
] | 78.655319 | 147 | 0.669227 | 2,070 | 18,484 | 5.642995 | 0.115942 | 0.220872 | 0.293126 | 0.232343 | 0.895557 | 0.855749 | 0.656365 | 0.455184 | 0.34081 | 0.252376 | 0 | 0.001661 | 0.087752 | 18,484 | 235 | 148 | 78.655319 | 0.691081 | 0.030188 | 0 | 0 | 0 | 0 | 0.670101 | 0.294538 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
b7083832ffade8999cd569e1e64ace3f0c153170 | 1,414 | py | Python | extensions/.stubs/clrclasses/System/Net/Mail/__init__.py | vicwjb/Pycad | 7391cd694b7a91ad9f9964ec95833c1081bc1f84 | [
"MIT"
] | 1 | 2020-03-25T03:27:24.000Z | 2020-03-25T03:27:24.000Z | extensions/.stubs/clrclasses/System/Net/Mail/__init__.py | vicwjb/Pycad | 7391cd694b7a91ad9f9964ec95833c1081bc1f84 | [
"MIT"
] | null | null | null | extensions/.stubs/clrclasses/System/Net/Mail/__init__.py | vicwjb/Pycad | 7391cd694b7a91ad9f9964ec95833c1081bc1f84 | [
"MIT"
] | null | null | null | from __clrclasses__.System.Net.Mail import AlternateView
from __clrclasses__.System.Net.Mail import AlternateViewCollection
from __clrclasses__.System.Net.Mail import Attachment
from __clrclasses__.System.Net.Mail import AttachmentBase
from __clrclasses__.System.Net.Mail import AttachmentCollection
from __clrclasses__.System.Net.Mail import DeliveryNotificationOptions
from __clrclasses__.System.Net.Mail import LinkedResource
from __clrclasses__.System.Net.Mail import LinkedResourceCollection
from __clrclasses__.System.Net.Mail import MailAddress
from __clrclasses__.System.Net.Mail import MailAddressCollection
from __clrclasses__.System.Net.Mail import MailMessage
from __clrclasses__.System.Net.Mail import MailPriority
from __clrclasses__.System.Net.Mail import SendCompletedEventHandler
from __clrclasses__.System.Net.Mail import SmtpAccess
from __clrclasses__.System.Net.Mail import SmtpClient
from __clrclasses__.System.Net.Mail import SmtpDeliveryFormat
from __clrclasses__.System.Net.Mail import SmtpDeliveryMethod
from __clrclasses__.System.Net.Mail import SmtpException
from __clrclasses__.System.Net.Mail import SmtpFailedRecipientException
from __clrclasses__.System.Net.Mail import SmtpFailedRecipientsException
from __clrclasses__.System.Net.Mail import SmtpPermission
from __clrclasses__.System.Net.Mail import SmtpPermissionAttribute
from __clrclasses__.System.Net.Mail import SmtpStatusCode
| 58.916667 | 72 | 0.886139 | 161 | 1,414 | 7.21118 | 0.180124 | 0.277347 | 0.39621 | 0.455642 | 0.653747 | 0.653747 | 0 | 0 | 0 | 0 | 0 | 0 | 0.065064 | 1,414 | 23 | 73 | 61.478261 | 0.878215 | 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 |
b72b8bdb6211dd6f32cb227832e1fa11f9a410e5 | 61 | py | Python | pystiche/image/__init__.py | dooglewoogle/pystiche | 14b61123ede2abdb00daaa5b4981de6d7edaf034 | [
"BSD-3-Clause"
] | 129 | 2019-10-04T00:23:54.000Z | 2021-04-24T06:41:37.000Z | pystiche/image/__init__.py | dooglewoogle/pystiche | 14b61123ede2abdb00daaa5b4981de6d7edaf034 | [
"BSD-3-Clause"
] | 334 | 2019-10-01T08:10:44.000Z | 2021-04-25T19:39:09.000Z | pystiche/image/__init__.py | dooglewoogle/pystiche | 14b61123ede2abdb00daaa5b4981de6d7edaf034 | [
"BSD-3-Clause"
] | 32 | 2021-05-05T05:06:18.000Z | 2022-03-17T09:14:47.000Z | from .utils import *
from .io import *
from .guides import *
| 15.25 | 21 | 0.704918 | 9 | 61 | 4.777778 | 0.555556 | 0.465116 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.196721 | 61 | 3 | 22 | 20.333333 | 0.877551 | 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 |
3fa3187eed6ead6ac676de1a41ed4654c47af65d | 38,031 | py | Python | instances/passenger_demand/pas-20210421-2109-int18e/92.py | LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure | bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11 | [
"BSD-3-Clause"
] | null | null | null | instances/passenger_demand/pas-20210421-2109-int18e/92.py | LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure | bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11 | [
"BSD-3-Clause"
] | null | null | null | instances/passenger_demand/pas-20210421-2109-int18e/92.py | LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure | bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11 | [
"BSD-3-Clause"
] | null | null | null |
"""
PASSENGERS
"""
numPassengers = 4128
passenger_arriving = (
(7, 10, 6, 6, 2, 0, 4, 10, 3, 3, 2, 0), # 0
(7, 16, 11, 6, 4, 0, 15, 12, 9, 12, 2, 0), # 1
(5, 7, 7, 6, 3, 0, 11, 12, 6, 5, 4, 0), # 2
(6, 11, 5, 8, 4, 0, 10, 7, 5, 8, 2, 0), # 3
(6, 10, 9, 3, 0, 0, 6, 8, 2, 8, 2, 0), # 4
(4, 8, 9, 3, 1, 0, 10, 21, 2, 6, 1, 0), # 5
(2, 7, 7, 2, 2, 0, 14, 17, 5, 7, 4, 0), # 6
(4, 7, 7, 6, 2, 0, 5, 11, 7, 4, 4, 0), # 7
(5, 6, 5, 7, 6, 0, 4, 8, 5, 3, 9, 0), # 8
(2, 7, 7, 4, 3, 0, 8, 9, 5, 7, 4, 0), # 9
(4, 11, 6, 9, 3, 0, 9, 11, 8, 5, 4, 0), # 10
(6, 12, 10, 7, 6, 0, 9, 8, 4, 6, 4, 0), # 11
(7, 13, 11, 2, 2, 0, 13, 10, 9, 7, 0, 0), # 12
(5, 15, 16, 6, 4, 0, 10, 16, 10, 11, 1, 0), # 13
(8, 9, 7, 3, 3, 0, 6, 16, 8, 6, 4, 0), # 14
(8, 9, 14, 6, 3, 0, 4, 8, 9, 6, 1, 0), # 15
(6, 17, 10, 2, 8, 0, 12, 11, 12, 8, 3, 0), # 16
(5, 14, 8, 10, 2, 0, 5, 11, 14, 2, 2, 0), # 17
(5, 12, 4, 4, 2, 0, 5, 9, 8, 11, 3, 0), # 18
(9, 18, 11, 6, 0, 0, 12, 11, 7, 6, 2, 0), # 19
(4, 10, 10, 3, 3, 0, 8, 11, 8, 5, 5, 0), # 20
(4, 15, 14, 4, 5, 0, 10, 15, 4, 2, 4, 0), # 21
(6, 13, 8, 3, 4, 0, 11, 6, 5, 5, 3, 0), # 22
(3, 11, 17, 1, 3, 0, 5, 14, 5, 7, 4, 0), # 23
(6, 5, 14, 4, 1, 0, 6, 7, 5, 11, 3, 0), # 24
(7, 18, 6, 8, 4, 0, 4, 8, 5, 4, 0, 0), # 25
(7, 9, 5, 4, 3, 0, 11, 10, 6, 8, 2, 0), # 26
(5, 18, 7, 7, 5, 0, 6, 16, 14, 6, 0, 0), # 27
(7, 12, 9, 1, 4, 0, 10, 10, 7, 3, 2, 0), # 28
(4, 11, 9, 2, 4, 0, 11, 12, 4, 10, 1, 0), # 29
(6, 8, 11, 3, 3, 0, 5, 14, 7, 8, 1, 0), # 30
(4, 17, 7, 0, 5, 0, 5, 13, 5, 2, 2, 0), # 31
(9, 18, 4, 6, 5, 0, 8, 9, 9, 3, 1, 0), # 32
(7, 12, 11, 1, 1, 0, 6, 12, 7, 5, 5, 0), # 33
(2, 8, 7, 3, 3, 0, 4, 13, 9, 10, 2, 0), # 34
(7, 8, 18, 7, 1, 0, 11, 11, 8, 7, 4, 0), # 35
(6, 16, 11, 5, 4, 0, 5, 11, 7, 10, 4, 0), # 36
(5, 12, 10, 3, 4, 0, 8, 11, 13, 7, 2, 0), # 37
(6, 8, 10, 14, 1, 0, 11, 10, 10, 8, 4, 0), # 38
(8, 12, 9, 2, 4, 0, 2, 17, 5, 7, 0, 0), # 39
(4, 10, 11, 3, 2, 0, 5, 11, 12, 4, 2, 0), # 40
(4, 5, 13, 5, 4, 0, 6, 14, 13, 5, 4, 0), # 41
(1, 12, 10, 6, 3, 0, 8, 9, 9, 4, 3, 0), # 42
(3, 7, 17, 7, 2, 0, 12, 10, 7, 7, 7, 0), # 43
(6, 11, 8, 3, 1, 0, 13, 8, 5, 2, 3, 0), # 44
(4, 13, 10, 5, 2, 0, 7, 8, 4, 8, 8, 0), # 45
(5, 17, 7, 7, 1, 0, 9, 13, 6, 8, 2, 0), # 46
(2, 13, 7, 6, 4, 0, 9, 9, 6, 6, 3, 0), # 47
(4, 7, 9, 7, 2, 0, 6, 16, 7, 5, 4, 0), # 48
(9, 10, 8, 8, 1, 0, 11, 10, 9, 8, 6, 0), # 49
(11, 16, 13, 6, 3, 0, 9, 7, 12, 8, 3, 0), # 50
(8, 12, 5, 6, 4, 0, 4, 15, 10, 6, 1, 0), # 51
(6, 15, 11, 4, 1, 0, 7, 15, 7, 4, 2, 0), # 52
(7, 11, 11, 5, 2, 0, 4, 15, 4, 3, 4, 0), # 53
(7, 12, 8, 8, 3, 0, 8, 14, 8, 4, 5, 0), # 54
(9, 11, 6, 3, 2, 0, 9, 11, 4, 1, 4, 0), # 55
(4, 17, 4, 4, 1, 0, 7, 12, 6, 6, 2, 0), # 56
(6, 7, 13, 7, 2, 0, 8, 13, 5, 5, 2, 0), # 57
(8, 8, 12, 11, 4, 0, 6, 12, 5, 6, 7, 0), # 58
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # 59
)
station_arriving_intensity = (
(4.769372805092186, 12.233629261363635, 14.389624839331619, 11.405298913043477, 12.857451923076923, 8.562228260869567), # 0
(4.81413961808604, 12.369674877683082, 14.46734796754499, 11.46881589673913, 12.953819711538461, 8.559309850543478), # 1
(4.8583952589991215, 12.503702525252525, 14.54322622107969, 11.530934782608696, 13.048153846153847, 8.556302173913043), # 2
(4.902102161984196, 12.635567578125, 14.617204169344474, 11.591602581521737, 13.14036778846154, 8.553205638586958), # 3
(4.94522276119403, 12.765125410353535, 14.689226381748071, 11.650766304347826, 13.230375, 8.550020652173911), # 4
(4.987719490781387, 12.892231395991162, 14.759237427699228, 11.708372961956522, 13.318088942307691, 8.546747622282608), # 5
(5.029554784899035, 13.01674090909091, 14.827181876606687, 11.764369565217393, 13.403423076923078, 8.54338695652174), # 6
(5.0706910776997365, 13.138509323705808, 14.893004297879177, 11.818703125, 13.486290865384618, 8.5399390625), # 7
(5.1110908033362605, 13.257392013888888, 14.956649260925452, 11.871320652173912, 13.56660576923077, 8.536404347826087), # 8
(5.1507163959613695, 13.373244353693181, 15.018061335154243, 11.922169157608696, 13.644281249999999, 8.532783220108696), # 9
(5.1895302897278315, 13.485921717171717, 15.077185089974291, 11.971195652173915, 13.719230769230771, 8.529076086956522), # 10
(5.227494918788412, 13.595279478377526, 15.133965094794343, 12.018347146739131, 13.791367788461539, 8.525283355978262), # 11
(5.2645727172958745, 13.701173011363636, 15.188345919023137, 12.063570652173912, 13.860605769230768, 8.521405434782608), # 12
(5.3007261194029835, 13.803457690183082, 15.240272132069407, 12.106813179347826, 13.926858173076925, 8.51744273097826), # 13
(5.335917559262511, 13.90198888888889, 15.289688303341899, 12.148021739130433, 13.99003846153846, 8.513395652173912), # 14
(5.370109471027217, 13.996621981534089, 15.336539002249355, 12.187143342391304, 14.050060096153846, 8.509264605978261), # 15
(5.403264288849868, 14.087212342171718, 15.380768798200515, 12.224124999999999, 14.10683653846154, 8.50505), # 16
(5.4353444468832315, 14.173615344854797, 15.422322260604112, 12.258913722826087, 14.16028125, 8.500752241847827), # 17
(5.46631237928007, 14.255686363636363, 15.461143958868895, 12.291456521739132, 14.210307692307696, 8.496371739130435), # 18
(5.496130520193152, 14.333280772569443, 15.4971784624036, 12.321700407608695, 14.256829326923079, 8.491908899456522), # 19
(5.524761303775241, 14.40625394570707, 15.530370340616965, 12.349592391304348, 14.299759615384616, 8.487364130434782), # 20
(5.552167164179106, 14.47446125710227, 15.56066416291774, 12.375079483695652, 14.339012019230768, 8.482737839673913), # 21
(5.578310535557506, 14.537758080808082, 15.588004498714653, 12.398108695652175, 14.374499999999998, 8.47803043478261), # 22
(5.603153852063214, 14.595999790877526, 15.612335917416454, 12.418627038043478, 14.40613701923077, 8.473242323369567), # 23
(5.62665954784899, 14.649041761363636, 15.633602988431875, 12.43658152173913, 14.433836538461538, 8.468373913043479), # 24
(5.648790057067603, 14.696739366319445, 15.651750281169667, 12.451919157608696, 14.457512019230768, 8.463425611413044), # 25
(5.669507813871817, 14.738947979797977, 15.66672236503856, 12.464586956521739, 14.477076923076922, 8.458397826086957), # 26
(5.688775252414398, 14.77552297585227, 15.6784638094473, 12.474531929347828, 14.492444711538463, 8.453290964673915), # 27
(5.7065548068481124, 14.806319728535353, 15.68691918380463, 12.481701086956523, 14.503528846153845, 8.448105434782608), # 28
(5.722808911325724, 14.831193611900254, 15.69203305751928, 12.486041440217392, 14.510242788461538, 8.44284164402174), # 29
(5.7375, 14.85, 15.69375, 12.4875, 14.512500000000001, 8.4375), # 30
(5.751246651214834, 14.865621839488634, 15.692462907608693, 12.487236580882353, 14.511678590425532, 8.430077267616193), # 31
(5.7646965153452685, 14.881037215909092, 15.68863804347826, 12.486451470588234, 14.509231914893617, 8.418644565217393), # 32
(5.777855634590792, 14.896244211647728, 15.682330027173915, 12.485152389705883, 14.50518630319149, 8.403313830584706), # 33
(5.790730051150895, 14.91124090909091, 15.67359347826087, 12.483347058823531, 14.499568085106382, 8.38419700149925), # 34
(5.803325807225064, 14.926025390624996, 15.662483016304348, 12.481043198529411, 14.492403590425532, 8.361406015742128), # 35
(5.815648945012788, 14.940595738636366, 15.649053260869564, 12.478248529411767, 14.48371914893617, 8.335052811094453), # 36
(5.8277055067135555, 14.954950035511365, 15.63335883152174, 12.474970772058823, 14.47354109042553, 8.305249325337332), # 37
(5.839501534526853, 14.969086363636364, 15.615454347826088, 12.471217647058824, 14.461895744680852, 8.272107496251873), # 38
(5.851043070652174, 14.983002805397728, 15.595394429347825, 12.466996875000001, 14.44880944148936, 8.23573926161919), # 39
(5.862336157289003, 14.99669744318182, 15.573233695652176, 12.462316176470589, 14.434308510638296, 8.196256559220389), # 40
(5.873386836636828, 15.010168359374997, 15.549026766304348, 12.457183272058824, 14.418419281914893, 8.153771326836583), # 41
(5.88420115089514, 15.023413636363639, 15.522828260869566, 12.451605882352942, 14.401168085106384, 8.108395502248875), # 42
(5.894785142263428, 15.03643135653409, 15.494692798913043, 12.445591727941178, 14.38258125, 8.060241023238381), # 43
(5.905144852941176, 15.049219602272727, 15.464675, 12.439148529411764, 14.36268510638298, 8.009419827586207), # 44
(5.915286325127877, 15.061776455965909, 15.432829483695656, 12.43228400735294, 14.341505984042554, 7.956043853073464), # 45
(5.925215601023019, 15.074100000000003, 15.39921086956522, 12.425005882352941, 14.319070212765958, 7.90022503748126), # 46
(5.934938722826087, 15.086188316761364, 15.363873777173913, 12.417321874999999, 14.295404122340427, 7.842075318590705), # 47
(5.944461732736574, 15.098039488636365, 15.326872826086957, 12.409239705882353, 14.27053404255319, 7.7817066341829095), # 48
(5.953790672953963, 15.10965159801136, 15.288262635869566, 12.400767095588236, 14.24448630319149, 7.71923092203898), # 49
(5.96293158567775, 15.121022727272724, 15.248097826086958, 12.391911764705883, 14.217287234042553, 7.65476011994003), # 50
(5.971890513107417, 15.132150958806818, 15.206433016304347, 12.38268143382353, 14.188963164893616, 7.588406165667167), # 51
(5.980673497442456, 15.143034375, 15.163322826086954, 12.373083823529411, 14.159540425531915, 7.5202809970015), # 52
(5.989286580882353, 15.153671058238638, 15.118821875, 12.363126654411765, 14.129045345744682, 7.450496551724138), # 53
(5.9977358056266, 15.164059090909088, 15.072984782608694, 12.352817647058824, 14.09750425531915, 7.379164767616192), # 54
(6.00602721387468, 15.174196555397728, 15.02586616847826, 12.342164522058825, 14.064943484042553, 7.306397582458771), # 55
(6.014166847826087, 15.184081534090907, 14.977520652173913, 12.331175, 14.031389361702129, 7.232306934032984), # 56
(6.022160749680308, 15.193712109375003, 14.92800285326087, 12.319856801470587, 13.996868218085105, 7.15700476011994), # 57
(6.030014961636829, 15.203086363636363, 14.877367391304347, 12.308217647058825, 13.961406382978723, 7.0806029985007495), # 58
(0.0, 0.0, 0.0, 0.0, 0.0, 0.0), # 59
)
passenger_arriving_acc = (
(7, 10, 6, 6, 2, 0, 4, 10, 3, 3, 2, 0), # 0
(14, 26, 17, 12, 6, 0, 19, 22, 12, 15, 4, 0), # 1
(19, 33, 24, 18, 9, 0, 30, 34, 18, 20, 8, 0), # 2
(25, 44, 29, 26, 13, 0, 40, 41, 23, 28, 10, 0), # 3
(31, 54, 38, 29, 13, 0, 46, 49, 25, 36, 12, 0), # 4
(35, 62, 47, 32, 14, 0, 56, 70, 27, 42, 13, 0), # 5
(37, 69, 54, 34, 16, 0, 70, 87, 32, 49, 17, 0), # 6
(41, 76, 61, 40, 18, 0, 75, 98, 39, 53, 21, 0), # 7
(46, 82, 66, 47, 24, 0, 79, 106, 44, 56, 30, 0), # 8
(48, 89, 73, 51, 27, 0, 87, 115, 49, 63, 34, 0), # 9
(52, 100, 79, 60, 30, 0, 96, 126, 57, 68, 38, 0), # 10
(58, 112, 89, 67, 36, 0, 105, 134, 61, 74, 42, 0), # 11
(65, 125, 100, 69, 38, 0, 118, 144, 70, 81, 42, 0), # 12
(70, 140, 116, 75, 42, 0, 128, 160, 80, 92, 43, 0), # 13
(78, 149, 123, 78, 45, 0, 134, 176, 88, 98, 47, 0), # 14
(86, 158, 137, 84, 48, 0, 138, 184, 97, 104, 48, 0), # 15
(92, 175, 147, 86, 56, 0, 150, 195, 109, 112, 51, 0), # 16
(97, 189, 155, 96, 58, 0, 155, 206, 123, 114, 53, 0), # 17
(102, 201, 159, 100, 60, 0, 160, 215, 131, 125, 56, 0), # 18
(111, 219, 170, 106, 60, 0, 172, 226, 138, 131, 58, 0), # 19
(115, 229, 180, 109, 63, 0, 180, 237, 146, 136, 63, 0), # 20
(119, 244, 194, 113, 68, 0, 190, 252, 150, 138, 67, 0), # 21
(125, 257, 202, 116, 72, 0, 201, 258, 155, 143, 70, 0), # 22
(128, 268, 219, 117, 75, 0, 206, 272, 160, 150, 74, 0), # 23
(134, 273, 233, 121, 76, 0, 212, 279, 165, 161, 77, 0), # 24
(141, 291, 239, 129, 80, 0, 216, 287, 170, 165, 77, 0), # 25
(148, 300, 244, 133, 83, 0, 227, 297, 176, 173, 79, 0), # 26
(153, 318, 251, 140, 88, 0, 233, 313, 190, 179, 79, 0), # 27
(160, 330, 260, 141, 92, 0, 243, 323, 197, 182, 81, 0), # 28
(164, 341, 269, 143, 96, 0, 254, 335, 201, 192, 82, 0), # 29
(170, 349, 280, 146, 99, 0, 259, 349, 208, 200, 83, 0), # 30
(174, 366, 287, 146, 104, 0, 264, 362, 213, 202, 85, 0), # 31
(183, 384, 291, 152, 109, 0, 272, 371, 222, 205, 86, 0), # 32
(190, 396, 302, 153, 110, 0, 278, 383, 229, 210, 91, 0), # 33
(192, 404, 309, 156, 113, 0, 282, 396, 238, 220, 93, 0), # 34
(199, 412, 327, 163, 114, 0, 293, 407, 246, 227, 97, 0), # 35
(205, 428, 338, 168, 118, 0, 298, 418, 253, 237, 101, 0), # 36
(210, 440, 348, 171, 122, 0, 306, 429, 266, 244, 103, 0), # 37
(216, 448, 358, 185, 123, 0, 317, 439, 276, 252, 107, 0), # 38
(224, 460, 367, 187, 127, 0, 319, 456, 281, 259, 107, 0), # 39
(228, 470, 378, 190, 129, 0, 324, 467, 293, 263, 109, 0), # 40
(232, 475, 391, 195, 133, 0, 330, 481, 306, 268, 113, 0), # 41
(233, 487, 401, 201, 136, 0, 338, 490, 315, 272, 116, 0), # 42
(236, 494, 418, 208, 138, 0, 350, 500, 322, 279, 123, 0), # 43
(242, 505, 426, 211, 139, 0, 363, 508, 327, 281, 126, 0), # 44
(246, 518, 436, 216, 141, 0, 370, 516, 331, 289, 134, 0), # 45
(251, 535, 443, 223, 142, 0, 379, 529, 337, 297, 136, 0), # 46
(253, 548, 450, 229, 146, 0, 388, 538, 343, 303, 139, 0), # 47
(257, 555, 459, 236, 148, 0, 394, 554, 350, 308, 143, 0), # 48
(266, 565, 467, 244, 149, 0, 405, 564, 359, 316, 149, 0), # 49
(277, 581, 480, 250, 152, 0, 414, 571, 371, 324, 152, 0), # 50
(285, 593, 485, 256, 156, 0, 418, 586, 381, 330, 153, 0), # 51
(291, 608, 496, 260, 157, 0, 425, 601, 388, 334, 155, 0), # 52
(298, 619, 507, 265, 159, 0, 429, 616, 392, 337, 159, 0), # 53
(305, 631, 515, 273, 162, 0, 437, 630, 400, 341, 164, 0), # 54
(314, 642, 521, 276, 164, 0, 446, 641, 404, 342, 168, 0), # 55
(318, 659, 525, 280, 165, 0, 453, 653, 410, 348, 170, 0), # 56
(324, 666, 538, 287, 167, 0, 461, 666, 415, 353, 172, 0), # 57
(332, 674, 550, 298, 171, 0, 467, 678, 420, 359, 179, 0), # 58
(332, 674, 550, 298, 171, 0, 467, 678, 420, 359, 179, 0), # 59
)
passenger_arriving_rate = (
(4.769372805092186, 9.786903409090908, 8.63377490359897, 4.56211956521739, 2.5714903846153843, 0.0, 8.562228260869567, 10.285961538461537, 6.843179347826086, 5.755849935732647, 2.446725852272727, 0.0), # 0
(4.81413961808604, 9.895739902146465, 8.680408780526994, 4.587526358695651, 2.5907639423076922, 0.0, 8.559309850543478, 10.363055769230769, 6.881289538043478, 5.786939187017995, 2.4739349755366162, 0.0), # 1
(4.8583952589991215, 10.00296202020202, 8.725935732647814, 4.612373913043478, 2.609630769230769, 0.0, 8.556302173913043, 10.438523076923076, 6.918560869565217, 5.817290488431875, 2.500740505050505, 0.0), # 2
(4.902102161984196, 10.1084540625, 8.770322501606683, 4.636641032608694, 2.628073557692308, 0.0, 8.553205638586958, 10.512294230769232, 6.954961548913042, 5.846881667737789, 2.527113515625, 0.0), # 3
(4.94522276119403, 10.212100328282828, 8.813535829048842, 4.66030652173913, 2.6460749999999997, 0.0, 8.550020652173911, 10.584299999999999, 6.990459782608696, 5.875690552699228, 2.553025082070707, 0.0), # 4
(4.987719490781387, 10.313785116792928, 8.855542456619537, 4.6833491847826085, 2.663617788461538, 0.0, 8.546747622282608, 10.654471153846153, 7.025023777173913, 5.90369497107969, 2.578446279198232, 0.0), # 5
(5.029554784899035, 10.413392727272727, 8.896309125964011, 4.705747826086957, 2.680684615384615, 0.0, 8.54338695652174, 10.72273846153846, 7.058621739130436, 5.930872750642674, 2.603348181818182, 0.0), # 6
(5.0706910776997365, 10.510807458964646, 8.935802578727506, 4.72748125, 2.697258173076923, 0.0, 8.5399390625, 10.789032692307693, 7.0912218750000005, 5.95720171915167, 2.6277018647411614, 0.0), # 7
(5.1110908033362605, 10.60591361111111, 8.97398955655527, 4.7485282608695645, 2.7133211538461537, 0.0, 8.536404347826087, 10.853284615384615, 7.122792391304347, 5.982659704370181, 2.6514784027777774, 0.0), # 8
(5.1507163959613695, 10.698595482954543, 9.010836801092546, 4.768867663043478, 2.7288562499999993, 0.0, 8.532783220108696, 10.915424999999997, 7.153301494565217, 6.007224534061697, 2.6746488707386358, 0.0), # 9
(5.1895302897278315, 10.788737373737373, 9.046311053984574, 4.7884782608695655, 2.743846153846154, 0.0, 8.529076086956522, 10.975384615384616, 7.182717391304348, 6.030874035989716, 2.697184343434343, 0.0), # 10
(5.227494918788412, 10.87622358270202, 9.080379056876605, 4.807338858695652, 2.7582735576923074, 0.0, 8.525283355978262, 11.03309423076923, 7.2110082880434785, 6.053586037917737, 2.719055895675505, 0.0), # 11
(5.2645727172958745, 10.960938409090907, 9.113007551413881, 4.825428260869565, 2.7721211538461534, 0.0, 8.521405434782608, 11.088484615384614, 7.238142391304347, 6.0753383676092545, 2.740234602272727, 0.0), # 12
(5.3007261194029835, 11.042766152146465, 9.144163279241644, 4.8427252717391305, 2.7853716346153847, 0.0, 8.51744273097826, 11.141486538461539, 7.264087907608696, 6.096108852827762, 2.760691538036616, 0.0), # 13
(5.335917559262511, 11.121591111111112, 9.173812982005138, 4.859208695652173, 2.7980076923076918, 0.0, 8.513395652173912, 11.192030769230767, 7.288813043478259, 6.115875321336759, 2.780397777777778, 0.0), # 14
(5.370109471027217, 11.19729758522727, 9.201923401349612, 4.874857336956521, 2.810012019230769, 0.0, 8.509264605978261, 11.240048076923076, 7.312286005434782, 6.134615600899742, 2.7993243963068175, 0.0), # 15
(5.403264288849868, 11.269769873737372, 9.228461278920308, 4.88965, 2.8213673076923076, 0.0, 8.50505, 11.28546923076923, 7.334474999999999, 6.152307519280206, 2.817442468434343, 0.0), # 16
(5.4353444468832315, 11.338892275883836, 9.253393356362468, 4.903565489130434, 2.83205625, 0.0, 8.500752241847827, 11.328225, 7.3553482336956515, 6.168928904241644, 2.834723068970959, 0.0), # 17
(5.46631237928007, 11.40454909090909, 9.276686375321336, 4.916582608695652, 2.842061538461539, 0.0, 8.496371739130435, 11.368246153846156, 7.374873913043479, 6.184457583547558, 2.8511372727272724, 0.0), # 18
(5.496130520193152, 11.466624618055553, 9.298307077442159, 4.928680163043477, 2.8513658653846155, 0.0, 8.491908899456522, 11.405463461538462, 7.393020244565217, 6.198871384961439, 2.866656154513888, 0.0), # 19
(5.524761303775241, 11.525003156565655, 9.318222204370178, 4.939836956521739, 2.859951923076923, 0.0, 8.487364130434782, 11.439807692307692, 7.409755434782609, 6.212148136246785, 2.8812507891414136, 0.0), # 20
(5.552167164179106, 11.579569005681815, 9.336398497750643, 4.95003179347826, 2.8678024038461536, 0.0, 8.482737839673913, 11.471209615384614, 7.425047690217391, 6.224265665167096, 2.894892251420454, 0.0), # 21
(5.578310535557506, 11.630206464646465, 9.352802699228791, 4.95924347826087, 2.8748999999999993, 0.0, 8.47803043478261, 11.499599999999997, 7.438865217391305, 6.235201799485861, 2.907551616161616, 0.0), # 22
(5.603153852063214, 11.67679983270202, 9.367401550449872, 4.967450815217391, 2.8812274038461534, 0.0, 8.473242323369567, 11.524909615384614, 7.451176222826087, 6.244934366966581, 2.919199958175505, 0.0), # 23
(5.62665954784899, 11.719233409090908, 9.380161793059125, 4.974632608695652, 2.8867673076923075, 0.0, 8.468373913043479, 11.54706923076923, 7.461948913043478, 6.25344119537275, 2.929808352272727, 0.0), # 24
(5.648790057067603, 11.757391493055556, 9.391050168701799, 4.980767663043478, 2.8915024038461534, 0.0, 8.463425611413044, 11.566009615384614, 7.471151494565217, 6.260700112467866, 2.939347873263889, 0.0), # 25
(5.669507813871817, 11.79115838383838, 9.400033419023135, 4.985834782608695, 2.8954153846153843, 0.0, 8.458397826086957, 11.581661538461537, 7.478752173913043, 6.266688946015424, 2.947789595959595, 0.0), # 26
(5.688775252414398, 11.820418380681815, 9.40707828566838, 4.989812771739131, 2.8984889423076923, 0.0, 8.453290964673915, 11.593955769230769, 7.484719157608696, 6.271385523778919, 2.9551045951704538, 0.0), # 27
(5.7065548068481124, 11.84505578282828, 9.412151510282778, 4.992680434782609, 2.9007057692307687, 0.0, 8.448105434782608, 11.602823076923075, 7.489020652173913, 6.274767673521851, 2.96126394570707, 0.0), # 28
(5.722808911325724, 11.864954889520202, 9.415219834511568, 4.994416576086956, 2.902048557692307, 0.0, 8.44284164402174, 11.608194230769229, 7.491624864130435, 6.276813223007712, 2.9662387223800506, 0.0), # 29
(5.7375, 11.879999999999999, 9.41625, 4.995, 2.9025, 0.0, 8.4375, 11.61, 7.4925, 6.277499999999999, 2.9699999999999998, 0.0), # 30
(5.751246651214834, 11.892497471590906, 9.415477744565216, 4.994894632352941, 2.9023357180851064, 0.0, 8.430077267616193, 11.609342872340426, 7.492341948529411, 6.276985163043476, 2.9731243678977264, 0.0), # 31
(5.7646965153452685, 11.904829772727274, 9.413182826086956, 4.994580588235293, 2.901846382978723, 0.0, 8.418644565217393, 11.607385531914892, 7.49187088235294, 6.275455217391303, 2.9762074431818184, 0.0), # 32
(5.777855634590792, 11.916995369318181, 9.40939801630435, 4.994060955882353, 2.9010372606382977, 0.0, 8.403313830584706, 11.60414904255319, 7.491091433823529, 6.272932010869566, 2.9792488423295453, 0.0), # 33
(5.790730051150895, 11.928992727272727, 9.40415608695652, 4.993338823529412, 2.899913617021276, 0.0, 8.38419700149925, 11.599654468085104, 7.490008235294118, 6.269437391304347, 2.9822481818181816, 0.0), # 34
(5.803325807225064, 11.940820312499996, 9.39748980978261, 4.9924172794117645, 2.898480718085106, 0.0, 8.361406015742128, 11.593922872340425, 7.488625919117647, 6.264993206521739, 2.985205078124999, 0.0), # 35
(5.815648945012788, 11.952476590909091, 9.389431956521738, 4.9912994117647065, 2.896743829787234, 0.0, 8.335052811094453, 11.586975319148936, 7.486949117647059, 6.259621304347825, 2.988119147727273, 0.0), # 36
(5.8277055067135555, 11.96396002840909, 9.380015298913044, 4.989988308823529, 2.8947082180851056, 0.0, 8.305249325337332, 11.578832872340422, 7.484982463235293, 6.253343532608695, 2.9909900071022726, 0.0), # 37
(5.839501534526853, 11.97526909090909, 9.369272608695653, 4.988487058823529, 2.89237914893617, 0.0, 8.272107496251873, 11.56951659574468, 7.4827305882352935, 6.246181739130434, 2.9938172727272727, 0.0), # 38
(5.851043070652174, 11.986402244318182, 9.357236657608695, 4.98679875, 2.8897618882978717, 0.0, 8.23573926161919, 11.559047553191487, 7.480198125, 6.23815777173913, 2.9966005610795454, 0.0), # 39
(5.862336157289003, 11.997357954545455, 9.343940217391305, 4.984926470588235, 2.886861702127659, 0.0, 8.196256559220389, 11.547446808510635, 7.477389705882353, 6.22929347826087, 2.999339488636364, 0.0), # 40
(5.873386836636828, 12.008134687499997, 9.329416059782607, 4.982873308823529, 2.8836838563829783, 0.0, 8.153771326836583, 11.534735425531913, 7.474309963235294, 6.219610706521738, 3.002033671874999, 0.0), # 41
(5.88420115089514, 12.01873090909091, 9.31369695652174, 4.980642352941176, 2.880233617021277, 0.0, 8.108395502248875, 11.520934468085107, 7.4709635294117644, 6.209131304347826, 3.0046827272727277, 0.0), # 42
(5.894785142263428, 12.02914508522727, 9.296815679347825, 4.978236691176471, 2.8765162499999994, 0.0, 8.060241023238381, 11.506064999999998, 7.467355036764706, 6.1978771195652165, 3.0072862713068176, 0.0), # 43
(5.905144852941176, 12.03937568181818, 9.278805, 4.975659411764705, 2.8725370212765955, 0.0, 8.009419827586207, 11.490148085106382, 7.4634891176470575, 6.1858699999999995, 3.009843920454545, 0.0), # 44
(5.915286325127877, 12.049421164772726, 9.259697690217394, 4.972913602941176, 2.8683011968085106, 0.0, 7.956043853073464, 11.473204787234042, 7.459370404411764, 6.1731317934782615, 3.0123552911931815, 0.0), # 45
(5.925215601023019, 12.059280000000001, 9.239526521739132, 4.970002352941176, 2.8638140425531913, 0.0, 7.90022503748126, 11.455256170212765, 7.455003529411765, 6.159684347826087, 3.0148200000000003, 0.0), # 46
(5.934938722826087, 12.06895065340909, 9.218324266304347, 4.966928749999999, 2.859080824468085, 0.0, 7.842075318590705, 11.43632329787234, 7.450393124999999, 6.145549510869564, 3.0172376633522724, 0.0), # 47
(5.944461732736574, 12.07843159090909, 9.196123695652174, 4.9636958823529405, 2.854106808510638, 0.0, 7.7817066341829095, 11.416427234042551, 7.445543823529412, 6.130749130434782, 3.0196078977272727, 0.0), # 48
(5.953790672953963, 12.087721278409088, 9.17295758152174, 4.960306838235294, 2.8488972606382976, 0.0, 7.71923092203898, 11.39558904255319, 7.4404602573529415, 6.115305054347826, 3.021930319602272, 0.0), # 49
(5.96293158567775, 12.096818181818177, 9.148858695652175, 4.956764705882353, 2.8434574468085105, 0.0, 7.65476011994003, 11.373829787234042, 7.43514705882353, 6.099239130434783, 3.0242045454545443, 0.0), # 50
(5.971890513107417, 12.105720767045453, 9.123859809782608, 4.953072573529411, 2.837792632978723, 0.0, 7.588406165667167, 11.351170531914892, 7.429608860294118, 6.082573206521738, 3.026430191761363, 0.0), # 51
(5.980673497442456, 12.114427499999998, 9.097993695652173, 4.949233529411764, 2.8319080851063827, 0.0, 7.5202809970015, 11.32763234042553, 7.4238502941176465, 6.065329130434781, 3.0286068749999995, 0.0), # 52
(5.989286580882353, 12.122936846590909, 9.071293125, 4.945250661764706, 2.8258090691489364, 0.0, 7.450496551724138, 11.303236276595745, 7.417875992647058, 6.04752875, 3.030734211647727, 0.0), # 53
(5.9977358056266, 12.13124727272727, 9.043790869565216, 4.941127058823529, 2.8195008510638297, 0.0, 7.379164767616192, 11.278003404255319, 7.411690588235294, 6.0291939130434775, 3.0328118181818176, 0.0), # 54
(6.00602721387468, 12.139357244318182, 9.015519701086955, 4.93686580882353, 2.8129886968085103, 0.0, 7.306397582458771, 11.251954787234041, 7.405298713235295, 6.010346467391304, 3.0348393110795455, 0.0), # 55
(6.014166847826087, 12.147265227272724, 8.986512391304348, 4.9324699999999995, 2.8062778723404254, 0.0, 7.232306934032984, 11.225111489361701, 7.398705, 5.991008260869565, 3.036816306818181, 0.0), # 56
(6.022160749680308, 12.154969687500001, 8.95680171195652, 4.927942720588234, 2.7993736436170207, 0.0, 7.15700476011994, 11.197494574468083, 7.391914080882352, 5.9712011413043475, 3.0387424218750003, 0.0), # 57
(6.030014961636829, 12.16246909090909, 8.926420434782608, 4.923287058823529, 2.792281276595744, 0.0, 7.0806029985007495, 11.169125106382976, 7.384930588235295, 5.950946956521738, 3.0406172727272724, 0.0), # 58
(0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0), # 59
)
passenger_allighting_rate = (
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 0
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 1
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 2
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 3
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 4
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 5
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 6
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 7
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 8
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 9
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 10
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 11
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 12
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 13
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 14
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 15
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 16
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 17
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 18
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 19
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 20
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 21
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 22
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 23
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 24
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 25
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 26
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 27
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 28
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 29
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 30
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 31
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 32
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 33
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 34
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 35
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 36
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 37
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 38
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 39
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 40
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 41
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 42
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 43
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 44
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 45
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 46
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 47
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 48
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 49
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 50
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 51
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 52
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 53
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 54
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 55
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 56
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 57
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 58
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 59
)
"""
parameters for reproducibiliy. More information: https://numpy.org/doc/stable/reference/random/parallel.html
"""
#initial entropy
entropy = 258194110137029475889902652135037600173
#index for seed sequence child
child_seed_index = (
1, # 0
91, # 1
)
| 113.525373 | 213 | 0.730115 | 5,147 | 38,031 | 5.392656 | 0.236448 | 0.311284 | 0.246433 | 0.466926 | 0.326272 | 0.326272 | 0.326272 | 0.326272 | 0.326272 | 0.326272 | 0 | 0.819793 | 0.118693 | 38,031 | 334 | 214 | 113.865269 | 0.008324 | 0.031842 | 0 | 0.202532 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.015823 | 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 |
3fd4c2d62bfd697f8b2339b87ceb2cbdd7340141 | 40 | py | Python | ct/config/__init__.py | ViktorStagge/CompressiveTransformer | 644b363b1314f4f10c803ff4f014ff6d1a238fad | [
"MIT"
] | 2 | 2020-10-26T10:08:37.000Z | 2021-07-02T02:21:35.000Z | ct/config/__init__.py | ViktorStagge/CompressiveTransformer | 644b363b1314f4f10c803ff4f014ff6d1a238fad | [
"MIT"
] | null | null | null | ct/config/__init__.py | ViktorStagge/CompressiveTransformer | 644b363b1314f4f10c803ff4f014ff6d1a238fad | [
"MIT"
] | null | null | null | from ct.config.config import get_config
| 20 | 39 | 0.85 | 7 | 40 | 4.714286 | 0.714286 | 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 |
b7561387c39cc1d008f84f790a1231ebf74e9d0a | 2,203 | py | Python | conans/test/functional/graph_lock/lock_install_test.py | Wonders11/conan | 28ec09f6cbf1d7e27ec27393fd7bbc74891e74a8 | [
"MIT"
] | 6,205 | 2015-12-01T13:40:05.000Z | 2022-03-31T07:30:25.000Z | conans/test/functional/graph_lock/lock_install_test.py | Wonders11/conan | 28ec09f6cbf1d7e27ec27393fd7bbc74891e74a8 | [
"MIT"
] | 8,747 | 2015-12-01T16:28:48.000Z | 2022-03-31T23:34:53.000Z | conans/test/functional/graph_lock/lock_install_test.py | Mattlk13/conan | 005fc53485557b0a570bb71670f2ca9c66082165 | [
"MIT"
] | 961 | 2015-12-01T16:56:43.000Z | 2022-03-31T13:50:52.000Z | from conans.test.utils.tools import TestClient, GenConanfile
def test_install():
client = TestClient()
client.save({"conanfile.py": GenConanfile("pkga", "0.1").with_package_file("file.h", "0.1")})
client.run("create . user/channel")
# Use a consumer with a version range
client.save({"conanfile.py":
GenConanfile("pkgb", "0.1").with_require("pkga/[>=0.1]@user/channel")})
client.run("create . user/channel")
client.run("lock create --reference=pkgb/0.1@user/channel --lockfile-out=lock1.lock")
# We can create a pkga/0.2, but it will not be used
client.save({"conanfile.py": GenConanfile("pkga", "0.2").with_package_file("file.h", "0.2")})
client.run("create . user/channel")
client.run("lock install lock1.lock -g deploy")
assert "pkga/0.1@user/channel from local cache" in client.out
file_h = client.load("pkga/file.h")
assert file_h == "0.1"
def test_install_recipes():
client = TestClient(default_server_user=True)
client.save({"conanfile.py": GenConanfile("pkga", "0.1").with_package_file("file.h", "0.1")})
client.run("create . user/channel")
# Use a consumer with a version range
client.save({"conanfile.py":
GenConanfile("pkgb", "0.1").with_require("pkga/[>=0.1]@user/channel")})
client.run("create . user/channel")
client.run("lock create --reference=pkgb/0.1@user/channel --lockfile-out=lock1.lock")
# We can create a pkga/0.2, but it will not be used
client.save({"conanfile.py": GenConanfile("pkga", "0.2").with_package_file("file.h", "0.2")})
client.run("create . user/channel")
client.run("lock install lock1.lock --recipes")
assert "pkga/0.1@user/channel:5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 - Cache" in client.out
assert "pkgb/0.1@user/channel:cfd10f60aeaa00f5ca1f90b5fe97c3fe19e7ec23 - Cache" in client.out
client.run("upload * --all -c")
client.run("remove * -f")
client.run("lock install lock1.lock --recipes")
assert "pkga/0.1@user/channel:5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 - Download" in client.out
assert "pkgb/0.1@user/channel:cfd10f60aeaa00f5ca1f90b5fe97c3fe19e7ec23 - Download" in client.out
| 43.196078 | 100 | 0.681344 | 310 | 2,203 | 4.787097 | 0.209677 | 0.021563 | 0.036388 | 0.078841 | 0.803235 | 0.803235 | 0.787736 | 0.787736 | 0.787736 | 0.787736 | 0 | 0.069095 | 0.152519 | 2,203 | 50 | 101 | 44.06 | 0.725763 | 0.077621 | 0 | 0.545455 | 0 | 0.060606 | 0.460513 | 0.214709 | 0 | 0 | 0 | 0 | 0.181818 | 1 | 0.060606 | false | 0 | 0.030303 | 0 | 0.090909 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
b7935d018003381bfb05c6cb1c4b1bca814498cf | 263 | py | Python | filer/tests/__init__.py | oubiga/django-filero | 561f7b2c7f926a802c8dd5c05756c8d92d9f4350 | [
"BSD-3-Clause"
] | 1 | 2019-04-15T10:28:46.000Z | 2019-04-15T10:28:46.000Z | filer/tests/__init__.py | techdragon/django-filer | 085b880aa6bb738fe582a3ce40c25bd97f5bbe06 | [
"BSD-3-Clause"
] | 1 | 2018-01-31T12:08:48.000Z | 2018-01-31T12:08:48.000Z | filer/tests/__init__.py | techdragon/django-filer | 085b880aa6bb738fe582a3ce40c25bd97f5bbe06 | [
"BSD-3-Clause"
] | 3 | 2016-12-28T03:32:44.000Z | 2018-05-28T15:13:38.000Z | #-*- coding: utf-8 -*-
from filer.tests.admin import *
from filer.tests.dump import *
from filer.tests.models import *
from filer.tests.permissions import *
from filer.tests.server_backends import *
from filer.tests.tools import *
from filer.tests.utils import *
| 29.222222 | 41 | 0.764259 | 39 | 263 | 5.128205 | 0.384615 | 0.315 | 0.49 | 0.6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004329 | 0.121673 | 263 | 8 | 42 | 32.875 | 0.861472 | 0.079848 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 6 |
b7cf9acdd16af0f6ac0c2a3c5838ba1d9db5042b | 5,366 | py | Python | scripts/EducationalFacilities/V2/1-PreProcessing/ns/.ipynb_checkpoints/ns_isced-checkpoint.py | msmailes/LODE-ECDO | 63eeb64bd8059de94fd73246797845f8faaee31a | [
"MIT"
] | 21 | 2020-02-26T19:02:57.000Z | 2022-03-24T21:03:03.000Z | scripts/EducationalFacilities/V2/1-PreProcessing/ns/.ipynb_checkpoints/ns_isced-checkpoint.py | msmailes/LODE-ECDO | 63eeb64bd8059de94fd73246797845f8faaee31a | [
"MIT"
] | 2 | 2019-03-29T18:34:10.000Z | 2020-09-28T14:51:19.000Z | scripts/EducationalFacilities/V2/1-PreProcessing/ns/.ipynb_checkpoints/ns_isced-checkpoint.py | msmailes/LODE-ECDO | 63eeb64bd8059de94fd73246797845f8faaee31a | [
"MIT"
] | 13 | 2019-06-11T13:52:45.000Z | 2022-01-13T17:11:14.000Z | import pandas as pd
"""
Note that Nova Scotia has a year Primary before first grade, which in this case maps to kindergarten/ISCED020.
Pre-Primary is mapped to to ISCED010.
https://novascotiaimmigration.com/live-here/education/
"""
#public
df=pd.read_csv('directoryofpublicschools2019-2020.csv',encoding='cp1252')
ISCED010=[]
ISCED020=[]
ISCED1=[]
ISCED2=[]
ISCED3=[]
START=list(df['Start Gr'])
END=list(df['End Gr'])
for i in range(len(START)):
s=START[i]
e=END[i]
print(s,e)
if s=='PP':
if (e=='PP' or e=='PP'):
ISCED010.append('1')
ISCED020.append('0')
ISCED1.append('0')
ISCED2.append('0')
ISCED3.append('0')
elif int(e)<7:
ISCED010.append('1')
ISCED020.append('1')
ISCED1.append('1')
ISCED2.append('0')
ISCED3.append('0')
elif int(e)<10:
ISCED010.append('1')
ISCED020.append('1')
ISCED1.append('1')
ISCED2.append('1')
ISCED3.append('0')
elif int(e)<13:
ISCED010.append('1')
ISCED020.append('1')
ISCED1.append('1')
ISCED2.append('1')
ISCED3.append('1')
elif s=='PR':
if int(e)<7:
ISCED010.append('0')
ISCED020.append('1')
ISCED1.append('1')
ISCED2.append('0')
ISCED3.append('0')
elif int(e)<10:
ISCED010.append('0')
ISCED020.append('1')
ISCED1.append('1')
ISCED2.append('1')
ISCED3.append('0')
elif int(e)<13:
ISCED010.append('0')
ISCED020.append('1')
ISCED1.append('1')
ISCED2.append('1')
ISCED3.append('1')
elif int(s)<7:
if int(e)<7:
ISCED010.append('0')
ISCED020.append('0')
ISCED1.append('1')
ISCED2.append('0')
ISCED3.append('0')
elif int(e)<10:
ISCED010.append('0')
ISCED020.append('0')
ISCED1.append('1')
ISCED2.append('1')
ISCED3.append('0')
elif int(e)<13:
ISCED010.append('0')
ISCED020.append('0')
ISCED1.append('1')
ISCED2.append('1')
ISCED3.append('1')
elif int(s)<10:
if int(e)<10:
ISCED010.append('0')
ISCED020.append('0')
ISCED1.append('0')
ISCED2.append('1')
ISCED3.append('0')
elif int(e)<13:
ISCED010.append('0')
ISCED020.append('0')
ISCED1.append('0')
ISCED2.append('1')
ISCED3.append('1')
else:
ISCED010.append('0')
ISCED020.append('0')
ISCED1.append('0')
ISCED2.append('0')
ISCED3.append('1')
df['ISCED010']=ISCED010
df['ISCED020']=ISCED020
df['ISCED1']=ISCED1
df['ISCED2']=ISCED2
df['ISCED3']=ISCED3
df.to_csv('directoryofpublicschools2019-2020_isced.csv',encoding='cp1252',index=False)
#private
df=pd.read_csv("Recognized_Private_Schools_Granting_the_Nova_Scotia_High_School_Leaving_Certificate.csv")
for i in df['Grade Level'].unique():
print(i)
df['Grade Level']=df['Grade Level'].str.replace('2019-07-12T00:00:00.000','7-12')
ISCED020=[]
ISCED1=[]
ISCED2=[]
ISCED3=[]
r=list(df['Grade Level'])
for k in r:
k=k.replace('Gr','')
s,e=k.split('-')
s=s.strip()
e=e.strip()
print(s,e)
if (s=='P'):
if (e=='P' or e=='K'):
ISCED020.append('1')
ISCED1.append('0')
ISCED2.append('0')
ISCED3.append('0')
elif int(e)<7:
ISCED020.append('1')
ISCED1.append('1')
ISCED2.append('0')
ISCED3.append('0')
elif int(e)<10:
ISCED020.append('1')
ISCED1.append('1')
ISCED2.append('1')
ISCED3.append('0')
elif int(e)<13:
ISCED020.append('1')
ISCED1.append('1')
ISCED2.append('1')
ISCED3.append('1')
elif int(s)<7:
if int(e)<7:
ISCED020.append('0')
ISCED1.append('1')
ISCED2.append('0')
ISCED3.append('0')
elif int(e)<10:
ISCED020.append('0')
ISCED1.append('1')
ISCED2.append('1')
ISCED3.append('0')
elif int(e)<13:
ISCED020.append('0')
ISCED1.append('1')
ISCED2.append('1')
ISCED3.append('1')
elif int(s)<10:
if int(e)<10:
ISCED020.append('0')
ISCED1.append('0')
ISCED2.append('1')
ISCED3.append('0')
elif int(e)<13:
ISCED020.append('0')
ISCED1.append('0')
ISCED2.append('1')
ISCED3.append('1')
else:
ISCED020.append('0')
ISCED1.append('0')
ISCED2.append('0')
ISCED3.append('1')
df['ISCED020']=ISCED020
df['ISCED1']=ISCED1
df['ISCED2']=ISCED2
df['ISCED3']=ISCED3
df.to_csv("Recognized_Private_Schools_Granting_the_Nova_Scotia_High_School_Leaving_Certificate_isced.csv")
| 26.564356 | 111 | 0.491241 | 632 | 5,366 | 4.129747 | 0.150316 | 0.142146 | 0.074713 | 0.109195 | 0.75364 | 0.734483 | 0.734483 | 0.734483 | 0.734483 | 0.731801 | 0 | 0.118081 | 0.343459 | 5,366 | 201 | 112 | 26.696517 | 0.622765 | 0.002423 | 0 | 0.850575 | 0 | 0 | 0.1043 | 0.055069 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.005747 | 0 | 0.005747 | 0.017241 | 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 |
b7f00667aafe833c9fc7d62ef9609627fc5bf459 | 200 | py | Python | __init__.py | duchesneaumathieu/layers | 2fb69080e08e7084f4c7ef9ec5ca24ec0f6ca064 | [
"MIT"
] | 1 | 2018-01-31T10:28:53.000Z | 2018-01-31T10:28:53.000Z | __init__.py | duchesneaumathieu/layers | 2fb69080e08e7084f4c7ef9ec5ca24ec0f6ca064 | [
"MIT"
] | null | null | null | __init__.py | duchesneaumathieu/layers | 2fb69080e08e7084f4c7ef9ec5ca24ec0f6ca064 | [
"MIT"
] | null | null | null | from attentions import *
from costs import *
from indexing import *
from loops import *
from padding import *
from recurrents import *
from shapes import *
from specials import *
from updates import * | 22.222222 | 24 | 0.78 | 27 | 200 | 5.777778 | 0.407407 | 0.512821 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.175 | 200 | 9 | 25 | 22.222222 | 0.945455 | 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 |
b7f98b23e5392e5d68b946fe27daf5b05a855f19 | 94 | py | Python | spin the words.py | EchTR/python-projects-for-beginners | 466b0c9864cbb924e7a4ad03cfade49d7c2f180b | [
"MIT"
] | 1 | 2020-02-15T08:33:18.000Z | 2020-02-15T08:33:18.000Z | spin the words.py | EchTR/my-python-projects | 36efd7483c8f94666718f22a514dd4d65dca44be | [
"MIT"
] | null | null | null | spin the words.py | EchTR/my-python-projects | 36efd7483c8f94666718f22a514dd4d65dca44be | [
"MIT"
] | null | null | null | # Github: EchTR
def spin_words(sentence):
return sentence[::-1]
input(spin_words("EchTR")) | 23.5 | 26 | 0.712766 | 13 | 94 | 5 | 0.692308 | 0.276923 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012048 | 0.117021 | 94 | 4 | 27 | 23.5 | 0.771084 | 0.138298 | 0 | 0 | 0 | 0 | 0.064935 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0 | 0.333333 | 0.666667 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 6 |
4d3d473279f2fd47a8dd4ed7f172089124552060 | 110 | py | Python | tests/test_strip_comments.py | nikitabobko/git-revise | 71a79a52f7f131d4420c6e6c7383ee296b9fd0b5 | [
"MIT"
] | null | null | null | tests/test_strip_comments.py | nikitabobko/git-revise | 71a79a52f7f131d4420c6e6c7383ee296b9fd0b5 | [
"MIT"
] | null | null | null | tests/test_strip_comments.py | nikitabobko/git-revise | 71a79a52f7f131d4420c6e6c7383ee296b9fd0b5 | [
"MIT"
] | null | null | null | from gitrevise.utils import strip_comments
def test_strip_comments() -> None:
strip_comments()
pass
| 15.714286 | 42 | 0.745455 | 14 | 110 | 5.571429 | 0.714286 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.181818 | 110 | 6 | 43 | 18.333333 | 0.866667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | true | 0.25 | 0.25 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 |
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